[
  {
    "path": "README.md",
    "content": "# RLTaskOffloading\n\n## Prerequisites \nThe code requires python3 (>=3.5) with the development headers. You'll also need system packages CMake, OpenMPI, graphviz and zlib. Those can be installed as follows\n### Ubuntu \n    \n```bash\nsudo apt-get update && sudo apt-get install cmake libopenmpi-dev python3-dev zlib1g-dev\nsudo apt-get install graphviz\n```\n\n### Configure the virtual environment:\nIt is better to use a virtual environment (e.g., Anaconda) to run the code. About how to install anaconda, please refer to the official website: https://www.anaconda.com\n\nOnce you have anaconda installed, run \n\n```bash\nconda env create -f environment.yaml\n```\n\nTo create the virtual environment. The current version of the code only supports TensorFlow 1.x (>=1.5).\n\n#### Run the code\nWe implemented two DRL-based algorithms for task offloading: DRLTO and DDQNTO. \n\nTo train and evaluate DRLTO under different scenarios, run\n```bash\n# train and evaluate DRLTO with different number of tasks and LO target.\npython train.py --algo DRLTO --scenario Number --goal LO --dependency True \n# train and evaluate DRLTO with different number of tasks and EE target.\npython train.py --algo DRLTO --scenario Number --goal EE --dependency True \n# train and evaluate DRLTO with different transmission rate and LO target.\npython train.py --algo DRLTO --scenario Trans --goal LO --dependency True \n# train and evaluate DRLTO with different transmission rate and EE target.\npython train.py --algo DRLTO --scenario Trans --goal EE --dependency True \n```\n\nTo train DRLTO without considering task dependency, run\n```bash\n# train and evaluate DRLTO with different number of tasks and LO target without considering dependency\npython train.py --algo DRLTO --scenario Number --goal LO --dependency False \n```\n\nTo train and evaluate DDQNTO under different scenarios, run \n```bash\n# train and evaluate DDQNTO with different number of tasks and LO target. In DDQNTO we do not consider the dependency.\npython train.py --algo DDQNTO --scenario Number --goal LO --dependency False \n# train and evaluate DDQNTO with different number of tasks and EE target.\npython train.py --algo DDQNTO --scenario Number --goal EE --dependency False \n# train and evaluate DDQNTO with different transmission rate and LO target.\npython train.py --algo DDQNTO --scenario Trans --goal LO --dependency False \n# train and evaluate DDQNTO with different transmission rate and EE target.\npython train.py --algo DDQNTO --scenario Trans --goal EE --dependency False \n```\n\nThe running results can be found in the log folder (default path of log folder is './log/Result')\n\nTo evaluate the heuristic algorithms, run\n```bash\npython evaluate_heuristic_algo.py --scenario Number --goal LO\npython evaluate_heuristic_algo.py --scenario Number --goal EE\npython evaluate_heuristic_algo.py --scenario Trans --goal LO\npython evaluate_heuristic_algo.py --scenario Trans --goal EE\n```\n\n### Related publication\nIf you are interested in this work, please cite the paper\n\n```bash\n@article{Wang2021Depedent,\n  author={Wang, Jin and Hu, Jia and Min, Geyong and Zhan, Wenhan and Zomaya, Albert and Georgalas, Nektarios},\n  journal={IEEE Transactions on Computers}, \n  title={Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning}, \n  year={2021},\n  doi={10.1109/TC.2021.3131040}}\n```"
  },
  {
    "path": "environment.yaml",
    "content": "name: RLTaskOffloading\nchannels:\n  - defaults\ndependencies:\n  - certifi=2020.6.20=pyhd3eb1b0_3\n  - console_shortcut=0.1.1=4\n  - pip=21.2.2=py36haa95532_0\n  - python=3.6.13=h3758d61_0\n  - setuptools=58.0.4=py36haa95532_0\n  - sqlite=3.36.0=h2bbff1b_0\n  - vc=14.2=h21ff451_1\n  - vs2015_runtime=14.27.29016=h5e58377_2\n  - wheel=0.37.0=pyhd3eb1b0_1\n  - wincertstore=0.2=py36h7fe50ca_0\n  - pip:\n    - absl-py==1.0.0\n    - astor==0.8.1\n    - cached-property==1.5.2\n    - cloudpickle==2.0.0\n    - dataclasses==0.8\n    - gast==0.2.2\n    - google-pasta==0.2.0\n    - grpcio==1.42.0\n    - gym==0.21.0\n    - h5py==3.1.0\n    - importlib-metadata==4.8.2\n    - joblib==1.1.0\n    - keras-applications==1.0.8\n    - keras-preprocessing==1.1.2\n    - markdown==3.3.6\n    - mpi4py==3.1.2\n    - numpy==1.19.5\n    - opt-einsum==3.3.0\n    - protobuf==3.19.1\n    - pydotplus==2.0.2\n    - pyparsing==3.0.6\n    - python-graphviz==0.18.2\n    - six==1.16.0\n    - tensorboard==1.15.0\n    - tensorflow-estimator==1.15.1\n    - tensorflow-gpu==1.15.0\n    - termcolor==1.1.0\n    - typing-extensions==4.0.0\n    - werkzeug==2.0.2\n    - wrapt==1.13.3\n    - zipp==3.6.0\n"
  },
  {
    "path": "evaluate_heuristic_algo.py",
    "content": "import argparse\n\nimport os, os.path\nfrom rltaskoffloading.environment.offloading_env_test_heuristics import evaluate_different_number, evaluate_different_trans\n\ndef evluate(args):\n    graph_paths_test_for_number = [\"./rltaskoffloading/offloading_data/offload_random10_test/random.10.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random15_test/random.15.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random20_test/random.20.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random25_test/random.25.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random30_test/random.30.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random35_test/random.35.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random40_test/random.40.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random45_test/random.45.\",\n                                   \"./rltaskoffloading/offloading_data/offload_random50_test/random.50.\"\n                                   ]\n\n    graph_paths_test_for_trans = \"./rltaskoffloading/offloading_data/offload_random15/random.15.\"\n\n    if not os.path.exists(args.logpath):\n        os.makedirs(args.logpath)\n\n    logpath = args.logpath+\"/heuristic-evaluate-\"+args.scenario+\"-\"+args.goal + \".txt\"\n\n    if args.scenario == \"Number\":\n        if args.goal == \"LO\":\n            evaluate_different_number(graph_paths_test_for_number, lambda_t=1.0, lambda_e=0.0, logpath=logpath)\n        elif args.goal == \"EE\":\n            evaluate_different_number(graph_paths_test_for_number, lambda_t=0.5, lambda_e=0.5, logpath=logpath)\n    elif args.scenario == \"Trans\":\n        if args.goal == \"LO\":\n            evaluate_different_trans(graph_paths_test_for_trans, lambda_t=1.0,\n                                     lambda_e=0.0, bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0],logpath=logpath)\n        elif args.goal == \"EE\":\n            evaluate_different_trans(graph_paths_test_for_trans, lambda_t=0.5,\n                                     lambda_e=0.5, bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0],logpath=logpath)\n\nif __name__ == \"__main__\":\n    parser = argparse.ArgumentParser()\n\n    parser.add_argument(\"--scenario\", type=str, default=\"Trans\", choices=[\"Number\", \"Trans\"])\n    parser.add_argument(\"--goal\", type=str, default=\"LO\", choices=[\"EE\", \"LO\"])\n    parser.add_argument(\"--logpath\", type=str, default=\"./log\")\n    args = parser.parse_args()\n\n    evluate(args)"
  },
  {
    "path": "rltaskoffloading/__init__.py",
    "content": ""
  },
  {
    "path": "rltaskoffloading/common/console_util.py",
    "content": "from __future__ import print_function\nfrom contextlib import contextmanager\nimport numpy as np\nimport time\n\n# ================================================================\n# Misc\n# ================================================================\n\ndef fmt_row(width, row, header=False):\n    out = \" | \".join(fmt_item(x, width) for x in row)\n    if header: out = out + \"\\n\" + \"-\"*len(out)\n    return out\n\ndef fmt_item(x, l):\n    if isinstance(x, np.ndarray):\n        assert x.ndim==0\n        x = x.item()\n    if isinstance(x, (float, np.float32, np.float64)):\n        v = abs(x)\n        if (v < 1e-4 or v > 1e+4) and v > 0:\n            rep = \"%7.2e\" % x\n        else:\n            rep = \"%7.5f\" % x\n    else: rep = str(x)\n    return \" \"*(l - len(rep)) + rep\n\ncolor2num = dict(\n    gray=30,\n    red=31,\n    green=32,\n    yellow=33,\n    blue=34,\n    magenta=35,\n    cyan=36,\n    white=37,\n    crimson=38\n)\n\ndef colorize(string, color, bold=False, highlight=False):\n    attr = []\n    num = color2num[color]\n    if highlight: num += 10\n    attr.append(str(num))\n    if bold: attr.append('1')\n    return '\\x1b[%sm%s\\x1b[0m' % (';'.join(attr), string)\n\n\nMESSAGE_DEPTH = 0\n\n@contextmanager\ndef timed(msg):\n    global MESSAGE_DEPTH #pylint: disable=W0603\n    print(colorize('\\t'*MESSAGE_DEPTH + '=: ' + msg, color='magenta'))\n    tstart = time.time()\n    MESSAGE_DEPTH += 1\n    yield\n    MESSAGE_DEPTH -= 1\n    print(colorize('\\t'*MESSAGE_DEPTH + \"done in %.3f seconds\"%(time.time() - tstart), color='magenta'))\n"
  },
  {
    "path": "rltaskoffloading/common/dataset.py",
    "content": "import numpy as np\n\nclass Dataset(object):\n    def __init__(self, data_map, deterministic=False, shuffle=True):\n        self.data_map = data_map\n        self.deterministic = deterministic\n        self.enable_shuffle = shuffle\n        self.n = len(next(iter(data_map.values())))\n        print('Dataset shape is:', self.n)\n        self._next_id = 0\n        self.shuffle()\n\n    def shuffle(self):\n        if self.deterministic:\n            return\n        perm = np.arange(self.n)\n        np.random.shuffle(perm)\n\n        for key in self.data_map:\n            self.data_map[key] = self.data_map[key][perm]\n\n        self._next_id = 0\n\n    def next_batch(self, batch_size):\n        if self._next_id >= self.n and self.enable_shuffle:\n            self.shuffle()\n\n        cur_id = self._next_id\n        cur_batch_size = min(batch_size, self.n - self._next_id)\n        self._next_id += cur_batch_size\n\n        data_map = dict()\n        for key in self.data_map:\n            data_map[key] = self.data_map[key][cur_id:cur_id+cur_batch_size]\n        return data_map\n\n    def iterate_once(self, batch_size):\n        if self.enable_shuffle: self.shuffle()\n\n        while self._next_id <= self.n - batch_size:\n            yield self.next_batch(batch_size)\n        self._next_id = 0\n\n    def subset(self, num_elements, deterministic=True):\n        data_map = dict()\n        for key in self.data_map:\n            data_map[key] = self.data_map[key][:num_elements]\n        return Dataset(data_map, deterministic)\n\n\n\nclass SeqReplayBuffer(object):\n    def __init__(self, data_map, deterministic=False, shuffle=True):\n        self.data_map = data_map\n        self.deterministic = deterministic\n        self.enable_shuffle = shuffle\n        self.n = len(next(iter(data_map.values())))\n        print('Dataset shape is:', self.n)\n        self._next_id = 0\n        self.shuffle()\n\n    def shuffle(self):\n        if self.deterministic:\n            return\n        perm = np.arange(self.n)\n        np.random.shuffle(perm)\n\n        for key in self.data_map:\n            self.data_map[key] = self.data_map[key][perm]\n\n        self._next_id = 0\n\ndef iterbatches(arrays, *, num_batches=None, batch_size=None, shuffle=True, include_final_partial_batch=True):\n    assert (num_batches is None) != (batch_size is None), 'Provide num_batches or batch_size, but not both'\n    arrays = tuple(map(np.asarray, arrays))\n    n = arrays[0].shape[0]\n    assert all(a.shape[0] == n for a in arrays[1:])\n    inds = np.arange(n)\n    if shuffle: np.random.shuffle(inds)\n    sections = np.arange(0, n, batch_size)[1:] if num_batches is None else num_batches\n    for batch_inds in np.array_split(inds, sections):\n        if include_final_partial_batch or len(batch_inds) == batch_size:\n            yield tuple(a[batch_inds] for a in arrays)\n\n\n\nif __name__ == \"__main__\":\n    mb_encoder_batch = np.arange(100).reshape(20,5,1).tolist()\n    mb_encoder_length = np.arange(100).reshape(20,5,1).tolist()\n\n    mb_encoder_batch += np.arange(200).reshape(20,10,1).tolist()\n    mb_encoder_length += np.arange(200).reshape(20,10,1).tolist()\n\n    data_set = Dataset(dict(encoder_input=mb_encoder_batch,\n                            encoder_length=mb_encoder_length),\n                       deterministic=True, shuffle=False)\n\n    for data in data_set.iterate_once(20):\n        print(data['encoder_input'].shape)\n        print(data['encoder_input'][0])"
  },
  {
    "path": "rltaskoffloading/common/misc_util.py",
    "content": "import gym\nimport numpy as np\nimport os\nimport pickle\nimport random\nimport tempfile\nimport zipfile\n\ndef zipsame(*seqs):\n    L = len(seqs[0])\n    assert all(len(seq) == L for seq in seqs[1:])\n    return zip(*seqs)\n\n\ndef unpack(seq, sizes):\n    \"\"\"\n    Unpack 'seq' into a sequence of lists, with lengths specified by 'sizes'.\n    None = just one bare element, not a list\n\n    Example:\n    unpack([1,2,3,4,5,6], [3,None,2]) -> ([1,2,3], 4, [5,6])\n    \"\"\"\n    seq = list(seq)\n    it = iter(seq)\n    assert sum(1 if s is None else s for s in sizes) == len(seq), \"Trying to unpack %s into %s\" % (seq, sizes)\n    for size in sizes:\n        if size is None:\n            yield it.__next__()\n        else:\n            li = []\n            for _ in range(size):\n                li.append(it.__next__())\n            yield li\n\n\nclass EzPickle(object):\n    \"\"\"Objects that are pickled and unpickled via their constructor\n    arguments.\n\n    Example usage:\n\n        class Dog(Animal, EzPickle):\n            def __init__(self, furcolor, tailkind=\"bushy\"):\n                Animal.__init__()\n                EzPickle.__init__(furcolor, tailkind)\n                ...\n\n    When this object is unpickled, a new Dog will be constructed by passing the provided\n    furcolor and tailkind into the constructor. However, philosophers are still not sure\n    whether it is still the same dog.\n\n    This is generally needed only for environments which wrap C/C++ code, such as MuJoCo\n    and Atari.\n    \"\"\"\n\n    def __init__(self, *args, **kwargs):\n        self._ezpickle_args = args\n        self._ezpickle_kwargs = kwargs\n\n    def __getstate__(self):\n        return {\"_ezpickle_args\": self._ezpickle_args, \"_ezpickle_kwargs\": self._ezpickle_kwargs}\n\n    def __setstate__(self, d):\n        out = type(self)(*d[\"_ezpickle_args\"], **d[\"_ezpickle_kwargs\"])\n        self.__dict__.update(out.__dict__)\n\n\ndef set_global_seeds(i):\n    try:\n        import tensorflow as tf\n    except ImportError:\n        pass\n    else:\n        tf.set_random_seed(i)\n    np.random.seed(i)\n    random.seed(i)\n\n\ndef pretty_eta(seconds_left):\n    \"\"\"Print the number of seconds in human readable format.\n\n    Examples:\n    2 days\n    2 hours and 37 minutes\n    less than a minute\n\n    Paramters\n    ---------\n    seconds_left: int\n        Number of seconds to be converted to the ETA\n    Returns\n    -------\n    eta: str\n        String representing the pretty ETA.\n    \"\"\"\n    minutes_left = seconds_left // 60\n    seconds_left %= 60\n    hours_left = minutes_left // 60\n    minutes_left %= 60\n    days_left = hours_left // 24\n    hours_left %= 24\n\n    def helper(cnt, name):\n        return \"{} {}{}\".format(str(cnt), name, ('s' if cnt > 1 else ''))\n\n    if days_left > 0:\n        msg = helper(days_left, 'day')\n        if hours_left > 0:\n            msg += ' and ' + helper(hours_left, 'hour')\n        return msg\n    if hours_left > 0:\n        msg = helper(hours_left, 'hour')\n        if minutes_left > 0:\n            msg += ' and ' + helper(minutes_left, 'minute')\n        return msg\n    if minutes_left > 0:\n        return helper(minutes_left, 'minute')\n    return 'less than a minute'\n\n\nclass RunningAvg(object):\n    def __init__(self, gamma, init_value=None):\n        \"\"\"Keep a running estimate of a quantity. This is a bit like mean\n        but more sensitive to recent changes.\n\n        Parameters\n        ----------\n        gamma: float\n            Must be between 0 and 1, where 0 is the most sensitive to recent\n            changes.\n        init_value: float or None\n            Initial value of the estimate. If None, it will be set on the first update.\n        \"\"\"\n        self._value = init_value\n        self._gamma = gamma\n\n    def update(self, new_val):\n        \"\"\"Update the estimate.\n\n        Parameters\n        ----------\n        new_val: float\n            new observated value of estimated quantity.\n        \"\"\"\n        if self._value is None:\n            self._value = new_val\n        else:\n            self._value = self._gamma * self._value + (1.0 - self._gamma) * new_val\n\n    def __float__(self):\n        \"\"\"Get the current estimate\"\"\"\n        return self._value\n\ndef boolean_flag(parser, name, default=False, help=None):\n    \"\"\"Add a boolean flag to argparse parser.\n\n    Parameters\n    ----------\n    parser: argparse.Parser\n        parser to add the flag to\n    name: str\n        --<name> will enable the flag, while --no-<name> will disable it\n    default: bool or None\n        default value of the flag\n    help: str\n        help string for the flag\n    \"\"\"\n    dest = name.replace('-', '_')\n    parser.add_argument(\"--\" + name, action=\"store_true\", default=default, dest=dest, help=help)\n    parser.add_argument(\"--no-\" + name, action=\"store_false\", dest=dest)\n\n\ndef get_wrapper_by_name(env, classname):\n    \"\"\"Given an a gym environment possibly wrapped multiple times, returns a wrapper\n    of class named classname or raises ValueError if no such wrapper was applied\n\n    Parameters\n    ----------\n    env: gym.Env of gym.Wrapper\n        gym environment\n    classname: str\n        name of the wrapper\n\n    Returns\n    -------\n    wrapper: gym.Wrapper\n        wrapper named classname\n    \"\"\"\n    currentenv = env\n    while True:\n        if classname == currentenv.class_name():\n            return currentenv\n        elif isinstance(currentenv, gym.Wrapper):\n            currentenv = currentenv.env\n        else:\n            raise ValueError(\"Couldn't find wrapper named %s\" % classname)\n\n\ndef relatively_safe_pickle_dump(obj, path, compression=False):\n    \"\"\"This is just like regular pickle dump, except from the fact that failure cases are\n    different:\n\n        - It's never possible that we end up with a pickle in corrupted state.\n        - If a there was a different file at the path, that file will remain unchanged in the\n          even of failure (provided that filesystem rename is atomic).\n        - it is sometimes possible that we end up with useless temp file which needs to be\n          deleted manually (it will be removed automatically on the next function call)\n\n    The indended use case is periodic checkpoints of experiment state, such that we never\n    corrupt previous checkpoints if the current one fails.\n\n    Parameters\n    ----------\n    obj: object\n        object to pickle\n    path: str\n        path to the output file\n    compression: bool\n        if true pickle will be compressed\n    \"\"\"\n    temp_storage = path + \".relatively_safe\"\n    if compression:\n        # Using gzip here would be simpler, but the size is limited to 2GB\n        with tempfile.NamedTemporaryFile() as uncompressed_file:\n            pickle.dump(obj, uncompressed_file)\n            uncompressed_file.file.flush()\n            with zipfile.ZipFile(temp_storage, \"w\", compression=zipfile.ZIP_DEFLATED) as myzip:\n                myzip.write(uncompressed_file.name, \"data\")\n    else:\n        with open(temp_storage, \"wb\") as f:\n            pickle.dump(obj, f)\n    os.rename(temp_storage, path)\n\n\ndef pickle_load(path, compression=False):\n    \"\"\"Unpickle a possible compressed pickle.\n\n    Parameters\n    ----------\n    path: str\n        path to the output file\n    compression: bool\n        if true assumes that pickle was compressed when created and attempts decompression.\n\n    Returns\n    -------\n    obj: object\n        the unpickled object\n    \"\"\"\n\n    if compression:\n        with zipfile.ZipFile(path, \"r\", compression=zipfile.ZIP_DEFLATED) as myzip:\n            with myzip.open(\"data\") as f:\n                return pickle.load(f)\n    else:\n        with open(path, \"rb\") as f:\n            return pickle.load(f)\n"
  },
  {
    "path": "rltaskoffloading/common/mpi_adam.py",
    "content": "from mpi4py import MPI\nimport rltaskoffloading.common.tf_util as U\nimport tensorflow as tf\nimport numpy as np\n\nclass MpiAdam(object):\n    def __init__(self, var_list, *, beta1=0.9, beta2=0.999, epsilon=1e-08, scale_grad_by_procs=True, comm=None):\n        self.var_list = var_list\n        self.beta1 = beta1\n        self.beta2 = beta2\n        self.epsilon = epsilon\n        self.scale_grad_by_procs = scale_grad_by_procs\n        size = sum(U.numel(v) for v in var_list)\n        self.m = np.zeros(size, 'float32')\n        self.v = np.zeros(size, 'float32')\n        self.t = 0\n        self.setfromflat = U.SetFromFlat(var_list)\n        self.getflat = U.GetFlat(var_list)\n        self.comm = MPI.COMM_WORLD if comm is None else comm\n\n    def update(self, localg, stepsize):\n        if self.t % 100 == 0:\n            self.check_synced()\n        localg = localg.astype('float32')\n        globalg = np.zeros_like(localg)\n        self.comm.Allreduce(localg, globalg, op=MPI.SUM)\n        if self.scale_grad_by_procs:\n            globalg /= self.comm.Get_size()\n\n        self.t += 1\n        a = stepsize * np.sqrt(1 - self.beta2**self.t)/(1 - self.beta1**self.t)\n        self.m = self.beta1 * self.m + (1 - self.beta1) * globalg\n        self.v = self.beta2 * self.v + (1 - self.beta2) * (globalg * globalg)\n        step = (- a) * self.m / (np.sqrt(self.v) + self.epsilon)\n        self.setfromflat(self.getflat() + step)\n\n    def sync(self):\n        theta = self.getflat()\n        self.comm.Bcast(theta, root=0)\n        self.setfromflat(theta)\n\n    def check_synced(self):\n        if self.comm.Get_rank() == 0: # this is root\n            theta = self.getflat()\n            self.comm.Bcast(theta, root=0)\n        else:\n            thetalocal = self.getflat()\n            thetaroot = np.empty_like(thetalocal)\n            self.comm.Bcast(thetaroot, root=0)\n            assert (thetaroot == thetalocal).all(), (thetaroot, thetalocal)\n\n@U.in_session\ndef test_MpiAdam():\n    np.random.seed(0)\n    tf.set_random_seed(0)\n\n    a = tf.Variable(np.random.randn(3).astype('float32'))\n    b = tf.Variable(np.random.randn(2,5).astype('float32'))\n    loss = tf.reduce_sum(tf.square(a)) + tf.reduce_sum(tf.sin(b))\n\n    stepsize = 1e-2\n    update_op = tf.train.AdamOptimizer(stepsize).minimize(loss)\n    do_update = U.function([], loss, updates=[update_op])\n\n    tf.get_default_session().run(tf.global_variables_initializer())\n    for i in range(10):\n        print(i,do_update())\n\n    tf.set_random_seed(0)\n    tf.get_default_session().run(tf.global_variables_initializer())\n\n    var_list = [a,b]\n    lossandgrad = U.function([], [loss, U.flatgrad(loss, var_list)], updates=[update_op])\n    adam = MpiAdam(var_list)\n\n    for i in range(10):\n        l,g = lossandgrad()\n        adam.update(g, stepsize)\n        print(i,l)"
  },
  {
    "path": "rltaskoffloading/common/mpi_adam_optimizer.py",
    "content": "import numpy as np\nimport tensorflow as tf\nfrom mpi4py import MPI\n\nclass MpiAdamOptimizer(tf.train.AdamOptimizer):\n    \"\"\"Adam optimizer that averages gradients across mpi processes.\"\"\"\n    def __init__(self, comm, **kwargs):\n        self.comm = comm\n        tf.train.AdamOptimizer.__init__(self, **kwargs)\n    def compute_gradients(self, loss, var_list, **kwargs):\n        grads_and_vars = tf.train.AdamOptimizer.compute_gradients(self, loss, var_list, **kwargs)\n        grads_and_vars = [(g, v) for g, v in grads_and_vars if g is not None]\n        flat_grad = tf.concat([tf.reshape(g, (-1,)) for g, v in grads_and_vars], axis=0)\n        shapes = [v.shape.as_list() for g, v in grads_and_vars]\n        sizes = [int(np.prod(s)) for s in shapes]\n\n        num_tasks = self.comm.Get_size()\n        buf = np.zeros(sum(sizes), np.float32)\n\n        def _collect_grads(flat_grad):\n            self.comm.Allreduce(flat_grad, buf, op=MPI.SUM)\n            np.divide(buf, float(num_tasks), out=buf)\n            return buf\n\n        avg_flat_grad = tf.py_func(_collect_grads, [flat_grad], tf.float32)\n        avg_flat_grad.set_shape(flat_grad.shape)\n        avg_grads = tf.split(avg_flat_grad, sizes, axis=0)\n        avg_grads_and_vars = [(tf.reshape(g, v.shape), v)\n                    for g, (_, v) in zip(avg_grads, grads_and_vars)]\n\n        return avg_grads_and_vars\n"
  },
  {
    "path": "rltaskoffloading/common/mpi_moment.py",
    "content": "from mpi4py import MPI\nimport numpy as np\nfrom rltaskoffloading.common.misc_util import zipsame\n\ndef mpi_mean(x, axis=0, comm=None, keepdims=False):\n    x = np.asarray(x)\n    assert x.ndim > 0\n    if comm is None: comm = MPI.COMM_WORLD\n    xsum = x.sum(axis=axis, keepdims=keepdims)\n    n = xsum.size\n    localsum = np.zeros(n+1, x.dtype)\n    localsum[:n] = xsum.ravel()\n    localsum[n] = x.shape[axis]\n    globalsum = np.zeros_like(localsum)\n    comm.Allreduce(localsum, globalsum, op=MPI.SUM)\n    return globalsum[:n].reshape(xsum.shape) / globalsum[n], globalsum[n]\n\ndef mpi_moments(x, axis=0, comm=None, keepdims=False):\n    x = np.asarray(x)\n    assert x.ndim > 0\n    mean, count = mpi_mean(x, axis=axis, comm=comm, keepdims=True)\n    sqdiffs = np.square(x - mean)\n    meansqdiff, count1 = mpi_mean(sqdiffs, axis=axis, comm=comm, keepdims=True)\n    assert count1 == count\n    std = np.sqrt(meansqdiff)\n    if not keepdims:\n        newshape = mean.shape[:axis] + mean.shape[axis+1:]\n        mean = mean.reshape(newshape)\n        std = std.reshape(newshape)\n    return mean, std, count\n\n\ndef test_runningmeanstd():\n    import subprocess\n    subprocess.check_call(['mpirun', '-np', '3',\n        'python','-c',\n        'from baselines.common.mpi_moments import _helper_runningmeanstd; _helper_runningmeanstd()'])\n\ndef _helper_runningmeanstd():\n    comm = MPI.COMM_WORLD\n    np.random.seed(0)\n    for (triple,axis) in [\n        ((np.random.randn(3), np.random.randn(4), np.random.randn(5)),0),\n        ((np.random.randn(3,2), np.random.randn(4,2), np.random.randn(5,2)),0),\n        ((np.random.randn(2,3), np.random.randn(2,4), np.random.randn(2,4)),1),\n        ]:\n\n\n        x = np.concatenate(triple, axis=axis)\n        ms1 = [x.mean(axis=axis), x.std(axis=axis), x.shape[axis]]\n\n\n        ms2 = mpi_moments(triple[comm.Get_rank()],axis=axis)\n\n        for (a1,a2) in zipsame(ms1, ms2):\n            print(a1, a2)\n            assert np.allclose(a1, a2)\n            print(\"ok!\")\n\n"
  },
  {
    "path": "rltaskoffloading/common/mpi_util.py",
    "content": "from collections import defaultdict\nfrom mpi4py import MPI\nimport os, numpy as np\nimport platform\nimport shutil\nimport subprocess\n\ndef sync_from_root(sess, variables, comm=None):\n    \"\"\"\n    Send the root node's parameters to every worker.\n    Arguments:\n      sess: the TensorFlow session.\n      variables: all parameter variables including optimizer's\n    \"\"\"\n    if comm is None: comm = MPI.COMM_WORLD\n    rank = comm.Get_rank()\n    for var in variables:\n        if rank == 0:\n            comm.Bcast(sess.run(var))\n        else:\n            import tensorflow as tf\n            returned_var = np.empty(var.shape, dtype='float32')\n            comm.Bcast(returned_var)\n            sess.run(tf.assign(var, returned_var))\n\ndef gpu_count():\n    \"\"\"\n    Count the GPUs on this machine.\n    \"\"\"\n    if shutil.which('nvidia-smi') is None:\n        return 0\n    output = subprocess.check_output(['nvidia-smi', '--query-gpu=gpu_name', '--format=csv'])\n    return max(0, len(output.split(b'\\n')) - 2)\n\ndef setup_mpi_gpus():\n    \"\"\"\n    Set CUDA_VISIBLE_DEVICES using MPI.\n    \"\"\"\n    num_gpus = gpu_count()\n    if num_gpus == 0:\n        return\n    local_rank, _ = get_local_rank_size(MPI.COMM_WORLD)\n    os.environ['CUDA_VISIBLE_DEVICES'] = str(local_rank % num_gpus)\n\ndef get_local_rank_size(comm):\n    \"\"\"\n    Returns the rank of each process on its machine\n    The processes on a given machine will be assigned ranks\n        0, 1, 2, ..., N-1,\n    where N is the number of processes on this machine.\n\n    Useful if you want to assign one gpu per machine\n    \"\"\"\n    this_node = platform.node()\n    ranks_nodes = comm.allgather((comm.Get_rank(), this_node))\n    node2rankssofar = defaultdict(int)\n    local_rank = None\n    for (rank, node) in ranks_nodes:\n        if rank == comm.Get_rank():\n            local_rank = node2rankssofar[node]\n        node2rankssofar[node] += 1\n    assert local_rank is not None\n    return local_rank, node2rankssofar[this_node]\n\ndef share_file(comm, path):\n    \"\"\"\n    Copies the file from rank 0 to all other ranks\n    Puts it in the same place on all machines\n    \"\"\"\n    localrank, _ = get_local_rank_size(comm)\n    if comm.Get_rank() == 0:\n        with open(path, 'rb') as fh:\n            data = fh.read()\n        comm.bcast(data)\n    else:\n        data = comm.bcast(None)\n        if localrank == 0:\n            os.makedirs(os.path.dirname(path), exist_ok=True)\n            with open(path, 'wb') as fh:\n                fh.write(data)\n    comm.Barrier()\n\ndef dict_gather(comm, d, op='mean', assert_all_have_data=True):\n    if comm is None: return d\n    alldicts = comm.allgather(d)\n    size = comm.size\n    k2li = defaultdict(list)\n    for d in alldicts:\n        for (k,v) in d.items():\n            k2li[k].append(v)\n    result = {}\n    for (k,li) in k2li.items():\n        if assert_all_have_data:\n            assert len(li)==size, \"only %i out of %i MPI workers have sent '%s'\" % (len(li), size, k)\n        if op=='mean':\n            result[k] = np.mean(li, axis=0)\n        elif op=='sum':\n            result[k] = np.sum(li, axis=0)\n        else:\n            assert 0, op\n    return result\n"
  },
  {
    "path": "rltaskoffloading/common/runners.py",
    "content": "import numpy as np\nfrom abc import ABC, abstractmethod\n\nclass AbstractEnvRunner(ABC):\n    def __init__(self, *, env, model, nsteps):\n        self.env = env\n        self.model = model\n        self.nenv = nenv = env.num_envs if hasattr(env, 'num_envs') else 1\n        self.batch_ob_shape = (nenv*nsteps,) + env.observation_space.shape\n        self.obs = np.zeros((nenv,) + env.observation_space.shape, dtype=env.observation_space.dtype.name)\n        self.obs[:] = env.reset()\n        self.nsteps = nsteps\n        self.states = model.initial_state\n        self.dones = [False for _ in range(nenv)]\n\n    @abstractmethod\n    def run(self):\n        raise NotImplementedError\n\n"
  },
  {
    "path": "rltaskoffloading/common/schedule.py",
    "content": "class LinearSchedule(object):\n    def __init__(self, schedule_timesteps, final_p, initial_p=1.0):\n        \"\"\"Linear interpolation between initial_p and final_p over\n        schedule_timesteps. After this many timesteps pass final_p is\n        returned.\n        Parameters\n        ----------\n        schedule_timesteps: int\n            Number of timesteps for which to linearly anneal initial_p\n            to final_p\n        initial_p: float\n            initial output value\n        final_p: float\n            final output value\n        \"\"\"\n        self.schedule_timesteps = schedule_timesteps\n        self.final_p = final_p\n        self.initial_p = initial_p\n\n    def value(self, t):\n        \"\"\"See Schedule.value\"\"\"\n        fraction = min(float(t) / self.schedule_timesteps, 1.0)\n        return self.initial_p + fraction * (self.final_p - self.initial_p)\n\n"
  },
  {
    "path": "rltaskoffloading/common/tf_util.py",
    "content": "import joblib\nimport numpy as np\nimport tensorflow as tf  # pylint: ignore-module\nimport copy\nimport os\nimport functools\nimport collections\nimport multiprocessing\n\ndef switch(condition, then_expression, else_expression):\n    \"\"\"Switches between two operations depending on a scalar value (int or bool).\n    Note that both `then_expression` and `else_expression`\n    should be symbolic tensors of the *same shape*.\n\n    # Arguments\n        condition: scalar tensor.\n        then_expression: TensorFlow operation.\n        else_expression: TensorFlow operation.\n    \"\"\"\n    x_shape = copy.copy(then_expression.get_shape())\n    x = tf.cond(tf.cast(condition, 'bool'),\n                lambda: then_expression,\n                lambda: else_expression)\n    x.set_shape(x_shape)\n    return x\n\n# ================================================================\n# Extras\n# ================================================================\n\ndef lrelu(x, leak=0.2):\n    f1 = 0.5 * (1 + leak)\n    f2 = 0.5 * (1 - leak)\n    return f1 * x + f2 * abs(x)\n\n# ================================================================\n# Mathematical utils\n# ================================================================\n\ndef huber_loss(x, delta=1.0):\n    \"\"\"Reference: https://en.wikipedia.org/wiki/Huber_loss\"\"\"\n    return tf.where(\n        tf.abs(x) < delta,\n        tf.square(x) * 0.5,\n        delta * (tf.abs(x) - 0.5 * delta)\n    )\n\n# ================================================================\n# Global session\n# ================================================================\n\ndef get_session(config=None):\n    \"\"\"Get default session or create one with a given config\"\"\"\n    sess = tf.get_default_session()\n    if sess is None:\n        sess = make_session(config=config, make_default=True)\n    return sess\n\ndef make_session(config=None, num_cpu=None, make_default=False, graph=None):\n    \"\"\"Returns a session that will use <num_cpu> CPU's only\"\"\"\n    if num_cpu is None:\n        num_cpu = int(os.getenv('RCALL_NUM_CPU', multiprocessing.cpu_count()))\n    if config is None:\n        config = tf.ConfigProto(\n            allow_soft_placement=True,\n            inter_op_parallelism_threads=num_cpu,\n            intra_op_parallelism_threads=num_cpu)\n        config.gpu_options.allow_growth = True\n\n    if make_default:\n        return tf.InteractiveSession(config=config, graph=graph)\n    else:\n        return tf.Session(config=config, graph=graph)\n\ndef single_threaded_session():\n    \"\"\"Returns a session which will only use a single CPU\"\"\"\n    return make_session(num_cpu=1)\n\ndef in_session(f):\n    @functools.wraps(f)\n    def newfunc(*args, **kwargs):\n        with tf.Session():\n            f(*args, **kwargs)\n    return newfunc\n\nALREADY_INITIALIZED = set()\n\ndef initialize():\n    \"\"\"Initialize all the uninitialized variables in the global scope.\"\"\"\n    new_variables = set(tf.global_variables()) - ALREADY_INITIALIZED\n    get_session().run(tf.variables_initializer(new_variables))\n    ALREADY_INITIALIZED.update(new_variables)\n\n# ================================================================\n# Model components\n# ================================================================\n\ndef normc_initializer(std=1.0, axis=0):\n    def _initializer(shape, dtype=None, partition_info=None):  # pylint: disable=W0613\n        out = np.random.randn(*shape).astype(dtype.as_numpy_dtype)\n        out *= std / np.sqrt(np.square(out).sum(axis=axis, keepdims=True))\n        return tf.constant(out)\n    return _initializer\n\ndef conv2d(x, num_filters, name, filter_size=(3, 3), stride=(1, 1), pad=\"SAME\", dtype=tf.float32, collections=None,\n           summary_tag=None):\n    with tf.variable_scope(name):\n        stride_shape = [1, stride[0], stride[1], 1]\n        filter_shape = [filter_size[0], filter_size[1], int(x.get_shape()[3]), num_filters]\n\n        # there are \"num input feature maps * filter height * filter width\"\n        # inputs to each hidden unit\n        fan_in = intprod(filter_shape[:3])\n        # each unit in the lower layer receives a gradient from:\n        # \"num output feature maps * filter height * filter width\" /\n        #   pooling size\n        fan_out = intprod(filter_shape[:2]) * num_filters\n        # initialize weights with random weights\n        w_bound = np.sqrt(6. / (fan_in + fan_out))\n\n        w = tf.get_variable(\"W\", filter_shape, dtype, tf.random_uniform_initializer(-w_bound, w_bound),\n                            collections=collections)\n        b = tf.get_variable(\"b\", [1, 1, 1, num_filters], initializer=tf.zeros_initializer(),\n                            collections=collections)\n\n        if summary_tag is not None:\n            tf.summary.image(summary_tag,\n                             tf.transpose(tf.reshape(w, [filter_size[0], filter_size[1], -1, 1]),\n                                          [2, 0, 1, 3]),\n                             max_images=10)\n\n        return tf.nn.conv2d(x, w, stride_shape, pad) + b\n\n# ================================================================\n# Theano-like Function\n# ================================================================\n\ndef function(inputs, outputs, updates=None, givens=None):\n    \"\"\"Just like Theano function. Take a bunch of tensorflow placeholders and expressions\n    computed based on those placeholders and produces f(inputs) -> outputs. Function f takes\n    values to be fed to the input's placeholders and produces the values of the expressions\n    in outputs.\n\n    Input values can be passed in the same order as inputs or can be provided as kwargs based\n    on placeholder name (passed to constructor or accessible via placeholder.op.name).\n\n    Example:\n        x = tf.placeholder(tf.int32, (), name=\"x\")\n        y = tf.placeholder(tf.int32, (), name=\"y\")\n        z = 3 * x + 2 * y\n        lin = function([x, y], z, givens={y: 0})\n\n        with single_threaded_session():\n            initialize()\n\n            assert lin(2) == 6\n            assert lin(x=3) == 9\n            assert lin(2, 2) == 10\n            assert lin(x=2, y=3) == 12\n\n    Parameters\n    ----------\n    inputs: [tf.placeholder, tf.constant, or object with make_feed_dict method]\n        list of input arguments\n    outputs: [tf.Variable] or tf.Variable\n        list of outputs or a single output to be returned from function. Returned\n        value will also have the same shape.\n    \"\"\"\n    if isinstance(outputs, list):\n        return _Function(inputs, outputs, updates, givens=givens)\n    elif isinstance(outputs, (dict, collections.OrderedDict)):\n        f = _Function(inputs, outputs.values(), updates, givens=givens)\n        return lambda *args, **kwargs: type(outputs)(zip(outputs.keys(), f(*args, **kwargs)))\n    else:\n        f = _Function(inputs, [outputs], updates, givens=givens)\n        return lambda *args, **kwargs: f(*args, **kwargs)[0]\n\n\nclass _Function(object):\n    def __init__(self, inputs, outputs, updates, givens):\n        for inpt in inputs:\n            if not hasattr(inpt, 'make_feed_dict') and not (type(inpt) is tf.Tensor and len(inpt.op.inputs) == 0):\n                assert False, \"inputs should all be placeholders, constants, or have a make_feed_dict method\"\n        self.inputs = inputs\n        updates = updates or []\n        self.update_group = tf.group(*updates)\n        self.outputs_update = list(outputs) + [self.update_group]\n        self.givens = {} if givens is None else givens\n\n    def _feed_input(self, feed_dict, inpt, value):\n        if hasattr(inpt, 'make_feed_dict'):\n            feed_dict.update(inpt.make_feed_dict(value))\n        else:\n            feed_dict[inpt] = adjust_shape(inpt, value)\n\n    def __call__(self, *args):\n        assert len(args) <= len(self.inputs), \"Too many arguments provided\"\n        feed_dict = {}\n        # Update the args\n        for inpt, value in zip(self.inputs, args):\n            self._feed_input(feed_dict, inpt, value)\n        # Update feed dict with givens.\n        for inpt in self.givens:\n            feed_dict[inpt] = adjust_shape(inpt, feed_dict.get(inpt, self.givens[inpt]))\n        results = get_session().run(self.outputs_update, feed_dict=feed_dict)[:-1]\n        return results\n\n# ================================================================\n# Flat vectors\n# ================================================================\n\ndef var_shape(x):\n    out = x.get_shape().as_list()\n    assert all(isinstance(a, int) for a in out), \\\n        \"shape function assumes that shape is fully known\"\n    return out\n\ndef numel(x):\n    return intprod(var_shape(x))\n\ndef intprod(x):\n    return int(np.prod(x))\n\ndef flatgrad(loss, var_list, clip_norm=None):\n    grads = tf.gradients(loss, var_list)\n    if clip_norm is not None:\n        grads = [tf.clip_by_norm(grad, clip_norm=clip_norm) for grad in grads]\n    return tf.concat(axis=0, values=[\n        tf.reshape(grad if grad is not None else tf.zeros_like(v), [numel(v)])\n        for (v, grad) in zip(var_list, grads)\n    ])\n\nclass SetFromFlat(object):\n    def __init__(self, var_list, dtype=tf.float32):\n        assigns = []\n        shapes = list(map(var_shape, var_list))\n        total_size = np.sum([intprod(shape) for shape in shapes])\n\n        self.theta = theta = tf.placeholder(dtype, [total_size])\n        start = 0\n        assigns = []\n        for (shape, v) in zip(shapes, var_list):\n            size = intprod(shape)\n            assigns.append(tf.assign(v, tf.reshape(theta[start:start + size], shape)))\n            start += size\n        self.op = tf.group(*assigns)\n\n    def __call__(self, theta):\n        tf.get_default_session().run(self.op, feed_dict={self.theta: theta})\n\nclass GetFlat(object):\n    def __init__(self, var_list):\n        self.op = tf.concat(axis=0, values=[tf.reshape(v, [numel(v)]) for v in var_list])\n\n    def __call__(self):\n        return tf.get_default_session().run(self.op)\n\ndef flattenallbut0(x):\n    return tf.reshape(x, [-1, intprod(x.get_shape().as_list()[1:])])\n\n# =============================================================\n# TF placeholders management\n# ============================================================\n\n_PLACEHOLDER_CACHE = {}  # name -> (placeholder, dtype, shape)\n\ndef get_placeholder(name, dtype, shape):\n    if name in _PLACEHOLDER_CACHE:\n        out, dtype1, shape1 = _PLACEHOLDER_CACHE[name]\n        if out.graph == tf.get_default_graph():\n            assert dtype1 == dtype and shape1 == shape, \\\n                'Placeholder with name {} has already been registered and has shape {}, different from requested {}'.format(name, shape1, shape)\n            return out\n\n    out = tf.placeholder(dtype=dtype, shape=shape, name=name)\n    _PLACEHOLDER_CACHE[name] = (out, dtype, shape)\n    return out\n\ndef get_placeholder_cached(name):\n    return _PLACEHOLDER_CACHE[name][0]\n\n\n\n# ================================================================\n# Diagnostics\n# ================================================================\n\ndef display_var_info(vars):\n    from rltaskoffloading import logger\n    count_params = 0\n    for v in vars:\n        name = v.name\n        if \"/Adam\" in name or \"beta1_power\" in name or \"beta2_power\" in name: continue\n        v_params = np.prod(v.shape.as_list())\n        count_params += v_params\n        if \"/b:\" in name or \"/bias\" in name: continue    # Wx+b, bias is not interesting to look at => count params, but not print\n        logger.info(\"   %s%s %i params %s\" % (name, \" \"*(55-len(name)), v_params, str(v.shape)))\n\n    logger.info(\"Total model parameters: %0.2f million\" % (count_params*1e-6))\n\n\ndef get_available_gpus():\n    # recipe from here:\n    # https://stackoverflow.com/questions/38559755/how-to-get-current-available-gpus-in-tensorflow?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa\n\n    from tensorflow.python.client import device_lib\n    local_device_protos = device_lib.list_local_devices()\n    return [x.name for x in local_device_protos if x.device_type == 'GPU']\n\n# ================================================================\n# Saving variables\n# ================================================================\n\ndef load_state(fname, sess=None):\n    from rltaskoffloading import logger\n    logger.warn('load_state method is deprecated, please use load_variables instead')\n    sess = sess or get_session()\n    saver = tf.train.Saver()\n    saver.restore(tf.get_default_session(), fname)\n\ndef save_state(fname, sess=None):\n    from rltaskoffloading import logger\n    logger.warn('save_state method is deprecated, please use save_variables instead')\n    sess = sess or get_session()\n    dirname = os.path.dirname(fname)\n    if any(dirname):\n        os.makedirs(dirname, exist_ok=True)\n    saver = tf.train.Saver()\n    saver.save(tf.get_default_session(), fname)\n\n# The methods above and below are clearly doing the same thing, and in a rather similar way\n\ndef save_variables(save_path, variables=None, sess=None):\n    sess = sess or get_session()\n    variables = variables or tf.trainable_variables()\n\n    ps = sess.run(variables)\n    save_dict = {v.name: value for v, value in zip(variables, ps)}\n    dirname = os.path.dirname(save_path)\n    if any(dirname):\n        os.makedirs(dirname, exist_ok=True)\n    joblib.dump(save_dict, save_path)\n\ndef load_variables(load_path, variables=None, sess=None):\n    sess = sess or get_session()\n    variables = variables or tf.trainable_variables()\n\n    loaded_params = joblib.load(os.path.expanduser(load_path))\n    restores = []\n    if isinstance(loaded_params, list):\n        assert len(loaded_params) == len(variables), 'number of variables loaded mismatches len(variables)'\n        for d, v in zip(loaded_params, variables):\n            restores.append(v.assign(d))\n    else:\n        for v in variables:\n            restores.append(v.assign(loaded_params[v.name]))\n\n    sess.run(restores)\n\n# ================================================================\n# Shape adjustment for feeding into tf placeholders\n# ================================================================\ndef adjust_shape(placeholder, data):\n    '''\n    adjust shape of the data to the shape of the placeholder if possible.\n    If shape is incompatible, AssertionError is thrown\n\n    Parameters:\n        placeholder     tensorflow input placeholder\n\n        data            input data to be (potentially) reshaped to be fed into placeholder\n\n    Returns:\n        reshaped data\n    '''\n\n    if not isinstance(data, np.ndarray) and not isinstance(data, list):\n        return data\n    if isinstance(data, list):\n        data = np.array(data)\n\n    placeholder_shape = [x or -1 for x in placeholder.shape.as_list()]\n\n    assert _check_shape(placeholder_shape, data.shape), \\\n        'Shape of data {} is not compatible with shape of the placeholder {}'.format(data.shape, placeholder_shape)\n\n    return np.reshape(data, placeholder_shape)\n\n\ndef _check_shape(placeholder_shape, data_shape):\n    ''' check if two shapes are compatible (i.e. differ only by dimensions of size 1, or by the batch dimension)'''\n\n    squeezed_placeholder_shape = _squeeze_shape(placeholder_shape)\n    squeezed_data_shape = _squeeze_shape(data_shape)\n\n    for i, s_data in enumerate(squeezed_data_shape):\n        s_placeholder = squeezed_placeholder_shape[i]\n        if s_placeholder != -1 and s_data != s_placeholder:\n            return False\n\n    return True\n\n\ndef _squeeze_shape(shape):\n    return [x for x in shape if x != 1]\n\n# ================================================================\n# Tensorboard interfacing\n# ================================================================\n\ndef launch_tensorboard_in_background(log_dir):\n    '''\n    To log the Tensorflow graph when using rl-algs\n    algorithms, you can run the following code\n    in your main script:\n        import threading, time\n        def start_tensorboard(session):\n            time.sleep(10) # Wait until graph is setup\n            tb_path = osp.join(logger.get_dir(), 'tb')\n            summary_writer = tf.summary.FileWriter(tb_path, graph=session.graph)\n            summary_op = tf.summary.merge_all()\n            launch_tensorboard_in_background(tb_path)\n        session = tf.get_default_session()\n        t = threading.Thread(target=start_tensorboard, args=([session]))\n        t.start()\n    '''\n    import subprocess\n    subprocess.Popen(['tensorboard', '--logdir', log_dir])\n"
  },
  {
    "path": "rltaskoffloading/environment/dot_parser.py",
    "content": "import pydotplus\nfrom rltaskoffloading.environment.task import Task\n\nclass DotParser(object):\n    def __init__(self, file_name, is_matrix):\n        self.succ_task_for_ids = {}\n        self.pre_task_for_ids = {}\n\n        self.dot_ob = pydotplus.graphviz.graph_from_dot_file(file_name)\n        self._parse_task()\n        self._parse_dependecies()\n        self._calculate_depth()\n\n    def _parse_task(self):\n        jobs = self.dot_ob.get_node_list()\n        self.task_list = [0] * len(jobs)\n\n        for job in jobs:\n            job_id = job.get_name()\n            data_size = int(eval(job.obj_dict['attributes']['size']))\n            #running_cost = float(data_size) / (40.0 * 1024.0 * 1024.0 )\n            #running_cost = float(data_size) / ( 30*100 * 1024 * 1024 / 8.0 )\n            running_cost = float(data_size) / (100.0 * 1024.0 * 1024.0 / 8.0)\n            #running_cost = float(data_size) / (1024 * 1024 * 1024 * 8.0)\n            task = Task(job_id, running_cost, \"compute\")\n            id = int(job_id) - 1\n            self.task_list[id] = task\n\n    def _parse_dependecies(self):\n        edge_list = self.dot_ob.get_edge_list()\n        dependencies = []\n\n        for i in range(len(self.task_list)):\n            self.pre_task_for_ids[i] = []\n            self.succ_task_for_ids[i] = []\n\n        for edge in edge_list:\n            source_id = int(edge.get_source()) - 1\n            destination_id = int(edge.get_destination()) - 1\n            data_size = int(eval(edge.obj_dict['attributes']['size']))\n\n            self.pre_task_for_ids[destination_id].append(source_id)\n            self.succ_task_for_ids[source_id].append(destination_id)\n\n            communication_cost = float(data_size) / (100.0 * 1024.0 * 1024.0 / 8.0)\n            dependency = [source_id, destination_id, communication_cost]\n\n            dependencies.append(dependency)\n\n        self.dependencies = dependencies\n\n    def _calculate_depth(self):\n        ids_to_depth = dict()\n\n        def caluclate_depth_value(id):\n            if id in ids_to_depth.keys():\n                return ids_to_depth[id]\n            else:\n                if len(self.pre_task_for_ids[id]) != 0:\n                    depth = 1 + max([caluclate_depth_value(pre_task_id) for\n                                     pre_task_id in self.pre_task_for_ids[id]])\n                else:\n                    depth = 0\n\n                ids_to_depth[id] = depth\n\n            return ids_to_depth[id]\n\n        for id in range(len(self.task_list)):\n            ids_to_depth[id] = caluclate_depth_value(id)\n\n        for id, depth in ids_to_depth.items():\n            self.task_list[id].depth = depth\n\n    def generate_task_list(self):\n        return self.task_list\n\n    def generate_dependency(self):\n        return self.dependencies\n\n\n\n\n\n\n"
  },
  {
    "path": "rltaskoffloading/environment/offloading_env.py",
    "content": "import numpy as np\nimport os\n\nfrom rltaskoffloading.environment.offloading_task_graph import OffloadingTaskGraph\n\"\"\"\nSystem bandwidth B 20MHz\nUE Bandwidth W 1 MHz\nPTx = 1.258W\nPRx = 1.181W\nNoise = -174dbm/Hz\n\"\"\"\n\n\"\"\"\n    Also we need to prioritize the tasks.\n\"\"\"\n\n\nclass Resources(object):\n    def __init__(self, mec_process_capable,\n                  mobile_process_capable, bandwith_up = 7.0, bandwith_dl = 7.0):\n        self.mec_process_capble = mec_process_capable\n        self.mobile_process_capable = mobile_process_capable\n        self.mobile_process_avaliable_time = 0.0\n        self.mec_process_avaliable_time = 0.0\n\n        self.bandwith_up = bandwith_up\n        self.bandwith_dl = bandwith_dl\n\n        self.Pap = 1.258\n        self.Ptx = 1.258\n\n        self.omega0 = 1.0\n        self.optimal_qoe = 0.0\n\n    def up_transmission_cost(self, data, distance=0.0):\n        #PLDbm = 128.1 + 37.6 * np.log10(distance / 1000.0)\n        #PLw = 10.0 ** ((PLDbm) / 10.0)\n\n        #rate = self.bandwith_up * np.log2( 1 + self.Pap * PLw / (self.bandwith_up * self.omega0))\n\n        # rate = 7.0 * (1024.0 * 1024.0 / 8.0)\n        rate = self.bandwith_up * (1024.0 * 1024.0 / 8.0)\n\n        transmission_time = data / rate\n\n        return transmission_time\n\n    def reset(self):\n        self.mec_process_avaliable_time = 0.0\n        self.mobile_process_avaliable_time = 0.0\n\n    def dl_transmission_cost(self, data, distance=0.0):\n        #PLDbm = 128.1 + 37.6 * np.log10( distance / 1000.0)\n        #PLw = 10.0 ** ((PLDbm) / 10.0)\n\n        #rate = self.bandwith_dl * np.log2(1 + self.Pap * PLw / (self.bandwith_dl * self.omega0))\n\n        rate = self.bandwith_dl * (1024.0 * 1024.0 / 8.0)\n        transmission_time = data / rate\n\n        return transmission_time\n\n    def locally_execution_cost(self, data):\n        return self._computation_cost(data, self.mobile_process_capable)\n\n    def mec_execution_cost(self, data):\n        return self._computation_cost(data, self.mec_process_capble)\n\n    def _computation_cost(self, data, processing_power):\n        computation_time = data / processing_power\n\n        return computation_time\n\n\nclass OffloadingEnvironment(object):\n    def __init__(self, resource_cluster, batch_size, graph_number, graph_file_paths, time_major, lambda_t=1.0, lambda_e=0.0, encode_dependencies=True):\n        self.resource_cluster = resource_cluster\n        self.task_graphs = []\n        self.encoder_batchs = []\n        self.encoder_lengths = []\n        self.decoder_full_lengths = []\n        self.max_running_time_batchs = []\n        self.min_running_time_batchs = []\n        self.optimal_solution = -1\n        self.optimal_energy = -1\n        self.optimal_qoe = -1\n\n        self.heft_avg_run_time = -1\n        self.heft_avg_energy = -1\n        self.heft_avg_qoe = -1\n\n        self.optimal_qoe_energy = -1\n        self.optimal_qoe_latency = -1\n        self.encode_dependencies = encode_dependencies\n\n\n        for graph_file_path in graph_file_paths:\n            encoder_batchs, encoder_lengths, task_graph_batchs, decoder_full_lengths, max_running_time_batchs, min_running_time_batchs = \\\n                self.generate_point_batch_for_random_graphs(batch_size, graph_number, graph_file_path, time_major)\n\n            self.encoder_batchs += encoder_batchs\n            self.encoder_lengths += encoder_lengths\n            self.task_graphs += task_graph_batchs\n            self.decoder_full_lengths += decoder_full_lengths\n            self.max_running_time_batchs += max_running_time_batchs\n            self.min_running_time_batchs += min_running_time_batchs\n\n        self.input_dim = np.array(encoder_batchs[0]).shape[-1]\n        self.start_symbol = 0\n\n        # these 3 parameters are used to calculate the processing energy consumption\n        self.rho = 1.25 * 10 ** -26\n        self.f_l = 0.8 * 10 ** 9\n        self.zeta = 3\n\n        # these 2 parameters are used to calculate the transmission energy consumption\n        self.ptx = 1.258\n        self.prx = 1.181\n\n        # control the trade off between latency and energy consumption\n        self.lambda_t = lambda_t\n        self.lambda_e = lambda_e\n\n        self.all_locally_execute, self.all_locally_energy = self.get_all_locally_execute_time()\n        self.all_mec_execute, self.all_mec_energy = self.get_all_mec_execute_time()\n\n    def calculate_optimal_solution(self):\n        def exhaustion_plans(n):\n            plan_batch = []\n\n            for i in range(2**n):\n                plan_str = bin(i)\n                plan = []\n\n                for x in plan_str[2:]:\n                    plan.append(int(x))\n\n                while len(plan) < n:\n                    plan.insert(0, 0)\n                plan_batch.append(plan)\n            return plan_batch\n\n        n = self.task_graphs[0][0].task_number\n        plan_batch = exhaustion_plans(n)\n\n        print(\"exhausted plan size: \", len(plan_batch))\n\n        task_graph_optimal_costs = []\n        task_graph_optimal_energys = []\n        optimal_plan = []\n        optimal_makespan_plan_energy_cost = []\n        task_graph_optimal_makespan_energy= []\n        optimal_plan_e = []\n\n\n        for task_graph_batch in self.task_graphs:\n            task_graph_batch_cost = []\n            task_graph_batch_energy = []\n            for task_graph in task_graph_batch:\n                plans_costs = []\n                plans_energy = []\n\n                for plan in plan_batch:\n                    plan_sequence = []\n                    for action, task_id in zip(plan, task_graph.prioritize_sequence):\n                        plan_sequence.append((task_id, action))\n\n                    cost, energy, task_finish_time, energy_cost = self.get_scheduling_cost_step_by_step(plan_sequence, task_graph)\n                    plans_costs.append(task_finish_time)\n                    plans_energy.append(energy_cost)\n\n                graph_min_cost = min(plans_costs)\n                graph_min_energy = min(plans_energy)\n\n                optimal_plan.append(plan_batch[np.argmin(plans_costs)])\n                optimal_plan_e.append(plan_batch[np.argmin(plans_energy)])\n                optimal_makespan_plan_energy_cost.append(plans_energy[np.argmin(plans_costs)])\n\n                task_graph_batch_cost.append(graph_min_cost)\n                task_graph_batch_energy.append(graph_min_energy)\n\n            print(\"task_graph_batch cost shape is {}\".format(np.array(task_graph_batch_cost).shape))\n            avg_minimal_cost = np.mean(task_graph_batch_cost)\n            avg_energy = np.mean(optimal_makespan_plan_energy_cost)\n            avg_minimal_energy = np.mean(task_graph_batch_energy)\n\n            task_graph_optimal_costs.append(avg_minimal_cost)\n            task_graph_optimal_makespan_energy.append(avg_energy)\n            task_graph_optimal_energys.append(avg_minimal_energy)\n\n        self.optimal_solution = task_graph_optimal_costs\n        self.optimal_energy =task_graph_optimal_energys\n        self.optimal_makespan_energy = task_graph_optimal_makespan_energy\n        print(\"energy consumption for optimal plan:\", task_graph_optimal_makespan_energy)\n        return task_graph_optimal_costs\n\n    def calculate_optimal_qoe(self):\n        def exhaustion_plans(n):\n            plan_batch = []\n\n            for i in range(2**n):\n                plan_str = bin(i)\n                plan = []\n\n                for x in plan_str[2:]:\n                    plan.append(int(x))\n\n                while len(plan) < n:\n                    plan.insert(0, 0)\n                plan_batch.append(plan)\n            return plan_batch\n\n        n = self.task_graphs[0][0].task_number\n        plan_batch = exhaustion_plans(n)\n\n        print(\"exhausted plan size: \", len(plan_batch))\n\n        task_graph_optimal_costs = []\n        task_graph_optimal_energys = []\n        optimal_plan = []\n        optimal_makespan_plan_energy_cost = []\n        task_graph_optimal_makespan_energy= []\n        task_graph_optimal_qoe = []\n        task_graph_optimal_qoe_energy = []\n        task_graph_optimal_qoe_latency = []\n\n        optimal_plan_e = []\n        optimal_plan_qoe = []\n\n        optimal_qoe_energy = []\n        optimal_qoe_latency = []\n\n\n        for task_graph_batch in self.task_graphs:\n            task_graph_batch_cost = []\n            task_graph_batch_energy = []\n            task_graph_batch_qoe = []\n\n            for task_graph in task_graph_batch:\n                plans_costs = []\n                plans_energy = []\n                plans_qoe = []\n\n                all_local_time, all_local_energy = self.get_all_local_cost_for_one_graph(task_graph)\n\n                for plan in plan_batch:\n                    plan_sequence = []\n                    for action, task_id in zip(plan, task_graph.prioritize_sequence):\n                        plan_sequence.append((task_id, action))\n\n                    cost, energy, task_finish_time, energy_cost = self.get_scheduling_cost_step_by_step(plan_sequence, task_graph)\n                    plans_costs.append(task_finish_time)\n                    plans_energy.append(energy_cost)\n\n                    qoe = (self.lambda_t * (task_finish_time - all_local_time) / all_local_time) + (self.lambda_e * (energy_cost - all_local_energy) / all_local_energy)\n                    plans_qoe.append(qoe)\n\n                graph_min_cost = min(plans_costs)\n                graph_min_energy = min(plans_energy)\n                graph_min_qoe = min(plans_qoe)\n\n                optimal_plan.append(plan_batch[np.argmin(plans_costs)])\n                optimal_plan_e.append(plan_batch[np.argmin(plans_energy)])\n                optimal_makespan_plan_energy_cost.append(plans_energy[np.argmin(plans_costs)])\n\n                optimal_plan_qoe.append(plan_batch[np.argmin(plans_qoe)])\n                optimal_qoe_energy.append(plans_energy[np.argmin(plans_qoe)])\n                optimal_qoe_latency.append(plans_costs[np.argmin(plans_qoe)])\n\n                task_graph_batch_cost.append(graph_min_cost)\n                task_graph_batch_energy.append(graph_min_energy)\n                task_graph_batch_qoe.append(graph_min_qoe)\n\n            print(\"task_graph_batch cost shape is {}\".format(np.array(task_graph_batch_cost).shape))\n            avg_minimal_cost = np.mean(task_graph_batch_cost)\n            avg_energy = np.mean(optimal_makespan_plan_energy_cost)\n            avg_qoe_energy = np.mean(optimal_qoe_energy)\n            avg_qoe_latency = np.mean(optimal_qoe_latency)\n\n            avg_minimal_energy = np.mean(task_graph_batch_energy)\n\n            task_graph_optimal_costs.append(avg_minimal_cost)\n            task_graph_optimal_makespan_energy.append(avg_energy)\n            task_graph_optimal_energys.append(avg_minimal_energy)\n            task_graph_optimal_qoe.append(task_graph_batch_qoe)\n            task_graph_optimal_qoe_energy.append(avg_qoe_energy)\n            task_graph_optimal_qoe_latency.append(avg_qoe_latency)\n\n        self.optimal_solution = task_graph_optimal_costs\n        self.optimal_energy =task_graph_optimal_energys\n        self.optimal_makespan_energy = task_graph_optimal_makespan_energy\n        self.optimal_qoe= task_graph_optimal_qoe\n        self.optimal_qoe_energy = task_graph_optimal_qoe_energy\n        self.optimal_qoe_latency = task_graph_optimal_qoe_latency\n        print(\"energy consumption for optimal plan:\", task_graph_optimal_makespan_energy)\n        return task_graph_optimal_costs\n\n    def random_solution(self):\n        running_cost = []\n        energy_cost = []\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n            plan = np.random.randint(2, size=(batch_size, sequence_length))\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(plan, task_graph_batch)\n            running_cost.append(running_cost_batch)\n            energy_cost.append(energy_consumption_batch)\n\n        return running_cost, energy_cost\n\n    def round_robin_solution(self):\n        running_cost = []\n        energy_cost = []\n\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n            plan = np.zeros(shape=(batch_size, sequence_length), dtype=np.int32)\n            plan[:, ::2] = 1\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(plan, task_graph_batch)\n            running_cost.append(running_cost_batch)\n            energy_cost.append(energy_consumption_batch)\n\n        return running_cost, energy_cost\n\n    def all_offloading_solution(self):\n        running_cost = []\n        energy_cost = []\n\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n            plan = np.ones(shape=(batch_size, sequence_length), dtype=np.int32)\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(plan, task_graph_batch)\n            running_cost.append(running_cost_batch)\n            energy_cost.append(energy_consumption_batch)\n\n        return running_cost, energy_cost\n\n    def all_local_solution(self):\n        running_cost = []\n        energy_cost = []\n\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n            plan = np.zeros(shape=(batch_size, sequence_length), dtype=np.int32)\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(plan, task_graph_batch)\n            running_cost.append(running_cost_batch)\n            energy_cost.append(energy_consumption_batch)\n\n        return running_cost, energy_cost\n\n    def greedy_solution(self, heft=True):\n        result_plan = []\n        finish_time_batchs = []\n        for task_graph_batch in self.task_graphs:\n            plan_batchs = []\n            finish_time_plan = []\n            for task_graph in task_graph_batch:\n                cloud_avaliable_time = 0.0\n                ws_avaliable_time = 0.0\n                local_avaliable_time = 0.0\n\n                # finish time on cloud for each task\n                FT_cloud = [0] * task_graph.task_number\n                # finish time on sending channel for each task\n                FT_ws = [0] * task_graph.task_number\n                # finish time locally for each task\n                FT_locally = [0] * task_graph.task_number\n                # finish time recieving channel for each task\n                FT_wr = [0] * task_graph.task_number\n                plan = []\n\n                if heft==True:\n                    task_index = task_graph.prioritize_sequence\n                else:\n                    task_index = np.arange(task_graph.task_number)\n\n                for i in task_index:\n                    task = task_graph.task_list[i]\n\n                    # calculate the local finish time\n                    if len(task_graph.pre_task_sets[i]) != 0:\n                        start_time = max(local_avaliable_time,\n                                         max([max(FT_locally[j], FT_wr[j]) for j in task_graph.pre_task_sets[i]]))\n                    else:\n                        start_time = local_avaliable_time\n\n                    local_running_time = self.resource_cluster.locally_execution_cost(task.processing_data_size)\n                    FT_locally[i] = start_time + local_running_time\n\n                    # calculate the remote finish time\n                    if len(task_graph.pre_task_sets[i]) != 0:\n                        ws_start_time = max(ws_avaliable_time,\n                                            max([max(FT_locally[j], FT_ws[j]) for j in task_graph.pre_task_sets[i]]))\n                        FT_ws[i] = ws_start_time + self.resource_cluster.up_transmission_cost(task.processing_data_size)\n                        cloud_start_time = max(cloud_avaliable_time,\n                                               max([max(FT_ws[i], FT_cloud[j]) for j in task_graph.pre_task_sets[i]]))\n                        cloud_finish_time = cloud_start_time + self.resource_cluster.mec_execution_cost(\n                            task.processing_data_size)\n                        FT_cloud[i] = cloud_finish_time\n                        # print(\"task {}, Cloud finish time {}\".format(i, FT_cloud[i]))\n                        wr_start_time = FT_cloud[i]\n                        wr_finish_time = wr_start_time + self.resource_cluster.dl_transmission_cost(task.transmission_data_size)\n                        FT_wr[i] = wr_finish_time\n                    else:\n                        ws_start_time = ws_avaliable_time\n                        ws_finish_time = ws_start_time + self.resource_cluster.up_transmission_cost(task.processing_data_size)\n                        FT_ws[i] = ws_finish_time\n\n                        cloud_start_time = max(cloud_avaliable_time, FT_ws[i])\n                        FT_cloud[i] = cloud_start_time + self.resource_cluster.mec_execution_cost(\n                            task.processing_data_size)\n                        FT_wr[i] = FT_cloud[i] + self.resource_cluster.dl_transmission_cost(task.transmission_data_size)\n\n                    if FT_locally[i] < FT_wr[i]:\n                        action = 0\n                        local_avaliable_time = FT_locally[i]\n                        FT_wr[i] = 0.0\n                        FT_cloud[i] = 0.0\n                        FT_ws[i] = 0.0\n                    else:\n                        action = 1\n                        FT_locally[i] = 0.0\n                        cloud_avaliable_time = FT_cloud[i]\n                        ws_avaliable_time = FT_ws[i]\n                    plan.append((i, action))\n\n                finish_time = max( max(FT_wr), max(FT_locally) )\n                plan_batchs.append(plan)\n                finish_time_plan.append(finish_time)\n\n            finish_time_batchs.append(finish_time_plan)\n            result_plan.append(plan_batchs)\n\n        return result_plan, finish_time_batchs\n\n    def calculate_max_min_runningcost(self, max_data_size, min_data_size):\n        max_time = max( [self.resource_cluster.up_transmission_cost(max_data_size),\n                         self.resource_cluster.dl_transmission_cost(max_data_size),\n                         self.resource_cluster.locally_execution_cost(max_data_size)] )\n\n        min_time = self.resource_cluster.mec_execution_cost(min_data_size)\n\n        return max_time, min_time\n\n    def get_all_locally_execute_time(self):\n        running_cost = []\n        energy_cost = []\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n\n            scheduling_action = np.zeros(shape=(batch_size, sequence_length), dtype=np.int32)\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(scheduling_action, task_graph_batch)\n            running_cost.append(np.mean(running_cost_batch))\n            energy_cost.append(np.mean(energy_consumption_batch))\n\n        return running_cost, energy_cost\n\n    def get_all_mec_execute_time(self):\n        running_cost = []\n        energy_cost = []\n\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n\n            scheduling_action = np.ones(shape=(batch_size, sequence_length), dtype=np.int32)\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(scheduling_action, task_graph_batch)\n\n            running_cost.append(np.mean(running_cost_batch))\n            energy_cost. append(np.mean(energy_consumption_batch))\n\n        return running_cost, energy_cost\n\n    def get_all_mec_execute_time_batch(self):\n        running_cost = []\n        energy_cost = []\n\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n\n            scheduling_action = np.ones(shape=(batch_size, sequence_length), dtype=np.int32)\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(scheduling_action, task_graph_batch)\n\n            running_cost.append(running_cost_batch)\n            energy_cost.append(energy_consumption_batch)\n\n        return running_cost, energy_cost\n\n    def get_all_locally_execute_time_batch(self):\n        running_cost = []\n        energy_cost = []\n        for task_graph_batch, encode_batch in zip(self.task_graphs, self.encoder_batchs):\n            batch_size = encode_batch.shape[0]\n            sequence_length = encode_batch.shape[1]\n\n            scheduling_action = np.zeros(shape=(batch_size, sequence_length), dtype=np.int32)\n            running_cost_batch, energy_consumption_batch = self.get_running_cost(scheduling_action, task_graph_batch)\n            running_cost.append(running_cost_batch)\n            energy_cost.append(energy_consumption_batch)\n\n        return running_cost, energy_cost\n\n    def get_all_local_cost_for_one_graph(self, task_graph):\n        scheduling_action = [0] * task_graph.task_number\n        plan_sequence = []\n\n        for action, task_id in zip(scheduling_action,\n                                   task_graph.prioritize_sequence):\n            plan_sequence.append((task_id, action))\n\n        _, _, task_finish_time, total_energy = self.get_scheduling_cost_step_by_step(plan_sequence, task_graph)\n        return task_finish_time, total_energy\n\n    def generate_point_batch_for_random_graphs(self, batch_size, graph_number, graph_file_path, time_major):\n        encoder_list = []\n        task_graph_list = []\n\n        encoder_batchs = []\n        encoder_lengths = []\n        task_graph_batchs = []\n        decoder_full_lengths = []\n\n        max_running_time_vector = []\n        min_running_time_vector = []\n\n        max_running_time_batchs = []\n        min_running_time_batchs = []\n\n        for i in range(graph_number):\n            task_graph = OffloadingTaskGraph(graph_file_path + str(i) + '.gv', is_matrix=False)\n            task_graph_list.append(task_graph)\n\n            max_time, min_time = self.calculate_max_min_runningcost(task_graph.max_data_size,\n                                                                    task_graph.min_data_size)\n            max_running_time_vector.append(max_time)\n            min_running_time_vector.append(min_time)\n\n            # the scheduling sequence will also store in self.'prioritize_sequence'\n            scheduling_sequence = task_graph.prioritize_tasks(self.resource_cluster)\n\n            task_encode = np.array(task_graph.encode_point_sequence_with_ranking_and_cost(scheduling_sequence,\n                                                                                          self.resource_cluster,\n                                                                                          encode_dependencies=self.encode_dependencies))\n            encoder_list.append(task_encode)\n\n        for i in range(int(graph_number / batch_size)):\n            start_batch_index = i * batch_size\n            end_batch_index = (i + 1) * batch_size\n\n            task_encode_batch = encoder_list[start_batch_index:end_batch_index]\n            if time_major:\n                task_encode_batch = np.array(task_encode_batch).swapaxes(0, 1)\n                sequence_length = np.asarray([task_encode_batch.shape[0]] * task_encode_batch.shape[1])\n            else:\n                task_encode_batch = np.array(task_encode_batch)\n                sequence_length = np.asarray([task_encode_batch.shape[1]] * task_encode_batch.shape[0])\n\n            decoder_full_lengths.append(sequence_length)\n            encoder_lengths.append(sequence_length)\n            encoder_batchs.append(task_encode_batch)\n\n            task_graph_batch = task_graph_list[start_batch_index:end_batch_index]\n            task_graph_batchs.append(task_graph_batch)\n            max_running_time_batchs.append(max_running_time_vector[start_batch_index:end_batch_index])\n            min_running_time_batchs.append(min_running_time_vector[start_batch_index:end_batch_index])\n\n        return encoder_batchs, encoder_lengths, task_graph_batchs, decoder_full_lengths, max_running_time_batchs, min_running_time_batchs\n\n    def get_scheduling_cost_by_plan(self, plan, task_graph, heft=True):\n        plan_sequence = []\n        if heft == True:\n            task_index = task_graph.prioritize_sequence\n        else:\n            task_index = np.arange(task_graph.task_number)\n\n        for action, task_id in zip(plan, task_index):\n            plan_sequence.append((task_id, action))\n\n        _, _, task_finish_time, total_energy = self.get_scheduling_cost_step_by_step(plan_sequence, task_graph)\n\n        return task_finish_time\n\n    def get_scheduling_cost_step_by_step(self, plan, task_graph):\n        cloud_avaliable_time = 0.0\n        ws_avaliable_time =0.0\n        local_avaliable_time = 0.0\n\n        # running time on local processor\n        T_l = [0] * task_graph.task_number\n        # running time on sending channel\n        T_ul = [0] * task_graph.task_number\n        #running time on receiving channel\n        T_dl = [0] * task_graph.task_number\n\n\n        # finish time on cloud for each task\n        FT_cloud = [0] * task_graph.task_number\n        # finish time on sending channel for each task\n        FT_ws = [0] * task_graph.task_number\n        # finish time locally for each task\n        FT_locally = [0] * task_graph.task_number\n        # finish time recieving channel for each task\n        FT_wr = [0] * task_graph.task_number\n        current_FT = 0.0\n        total_energy = 0.0\n        return_latency = []\n        return_energy = []\n\n        for item in plan:\n            i = item[0]\n            task = task_graph.task_list[i]\n            x = item[1]\n\n            # locally scheduling\n            if x == 0:\n                if len(task_graph.pre_task_sets[i]) != 0:\n                    start_time = max(local_avaliable_time,\n                                     max([max(FT_locally[j], FT_wr[j]) for j in task_graph.pre_task_sets[i]]))\n                else:\n                    start_time = local_avaliable_time\n\n                T_l[i] = self.resource_cluster.locally_execution_cost(task.processing_data_size)\n                FT_locally[i] = start_time + T_l[i]\n                local_avaliable_time = FT_locally[i]\n\n                task_finish_time = FT_locally[i]\n\n                # calculate the energy consumption\n                energy_consumption = T_l[i] * self.rho * (self.f_l ** self.zeta)\n            # mcc scheduling\n            else:\n                if len(task_graph.pre_task_sets[i]) != 0:\n                    ws_start_time = max(ws_avaliable_time,\n                                        max([max(FT_locally[j], FT_ws[j])  for j in task_graph.pre_task_sets[i]]))\n\n                    T_ul[i] = self.resource_cluster.up_transmission_cost(task.processing_data_size)\n                    ws_finish_time = ws_start_time + T_ul[i]\n                    FT_ws[i] = ws_finish_time\n                    ws_avaliable_time = ws_finish_time\n\n                    cloud_start_time = max( cloud_avaliable_time,\n                                            max([max(FT_ws[i], FT_cloud[j]) for j in task_graph.pre_task_sets[i]]))\n                    cloud_finish_time = cloud_start_time + self.resource_cluster.mec_execution_cost(task.processing_data_size)\n                    FT_cloud[i] = cloud_finish_time\n                    # print(\"task {}, Cloud finish time {}\".format(i, FT_cloud[i]))\n                    cloud_avaliable_time = cloud_finish_time\n\n                    wr_start_time = FT_cloud[i]\n                    T_dl[i] = self.resource_cluster.dl_transmission_cost(task.transmission_data_size)\n                    wr_finish_time = wr_start_time + T_dl[i]\n                    FT_wr[i] = wr_finish_time\n\n                    # calculate the energy consumption\n                    energy_consumption = T_ul[i] * self.ptx + T_dl[i] * self.prx\n\n                else:\n                    ws_start_time = ws_avaliable_time\n                    T_ul[i] = self.resource_cluster.up_transmission_cost(task.processing_data_size)\n                    ws_finish_time = ws_start_time + T_ul[i]\n                    FT_ws[i] = ws_finish_time\n\n                    cloud_start_time = max(cloud_avaliable_time, FT_ws[i])\n                    cloud_finish_time = cloud_start_time + self.resource_cluster.mec_execution_cost(task.processing_data_size)\n                    FT_cloud[i] = cloud_finish_time\n                    cloud_avaliable_time = cloud_finish_time\n\n                    wr_start_time = FT_cloud[i]\n                    T_dl[i] = self.resource_cluster.dl_transmission_cost(task.transmission_data_size)\n                    wr_finish_time = wr_start_time + T_dl[i]\n                    FT_wr[i] = wr_finish_time\n\n                    # calculate the energy consumption\n                    energy_consumption = T_ul[i] * self.ptx + T_dl[i] * self.prx\n\n                task_finish_time = wr_finish_time\n\n            # print(\"task  {} finish time is {}\".format(i , task_finish_time))\n            total_energy += energy_consumption\n            delta_make_span = max(task_finish_time, current_FT) - current_FT\n            delta_energy = energy_consumption\n\n            current_FT = max(task_finish_time, current_FT)\n\n            return_latency.append(delta_make_span)\n            return_energy.append(delta_energy)\n\n        return return_latency, return_energy, current_FT, total_energy\n\n    def score_func(self, cost, max_time, min_time):\n        return -(cost - min_time) / (max_time - min_time)\n\n    def score_func_qoe(self, cost, all_local_cost, number_of_task):\n        try:\n            cost = np.array(cost)\n            avg_all_local_cost = all_local_cost / float(number_of_task)\n            score = -(cost - avg_all_local_cost) / all_local_cost\n        except:\n            print(\"exception all local cost: \", all_local_cost)\n            print(\"exception cost: \", cost)\n            raise ValueError(\"Un spported operation\")\n\n        return score\n\n    def get_cost_batch_step_by_step(self, action_sequence_batch, task_graph_batch):\n        target_batch = []\n        for i in range(len(action_sequence_batch)):\n            task_graph = task_graph_batch[i]\n            self.resource_cluster.reset()\n            plan = action_sequence_batch[i]\n            latency, energy, task_finish_time, total_energy = self.get_scheduling_cost_step_by_step(plan, task_graph)\n            score = latency\n            target_batch.append(score)\n\n        target_batch = np.array(target_batch)\n        return target_batch\n\n    def get_reward_batch_step_by_step(self, action_sequence_batch, task_graph_batch,\n                                      max_running_time_batch, min_running_time_batch):\n        target_batch = []\n        for i in range(len(action_sequence_batch)):\n            max_running_time = max_running_time_batch[i]\n            min_running_time = min_running_time_batch[i]\n\n            task_graph = task_graph_batch[i]\n            self.resource_cluster.reset()\n            plan = action_sequence_batch[i]\n            cost, energy, task_finish_time, total_energy = self.get_scheduling_cost_step_by_step(plan, task_graph)\n            # latency = self.score_func(cost, max_running_time, min_running_time)\n            all_local_time, all_local_energy = self.get_all_local_cost_for_one_graph(task_graph)\n\n            latency = self.score_func_qoe(cost, all_local_cost=all_local_time,\n                                          number_of_task=task_graph.task_number)\n\n            max_energy = max_running_time * max((self.rho * (self.f_l ** self.zeta)) , (self.ptx +self.prx) )\n            min_energy = min_running_time * min((self.rho * (self.f_l ** self.zeta)) , (self.ptx +self.prx) )\n\n            #print(\"max_energy\", max_energy)\n            #print(\"min_energy\", min_energy)\n            # energy = self.score_func(energy, max_energy, min_energy)\n            energy = self.score_func_qoe(energy, all_local_cost=all_local_energy,\n                                         number_of_task=task_graph.task_number)\n            #print(\"energy score\", energy)\n\n            score = self.lambda_t * np.array(latency) + self.lambda_e * np.array(energy)\n            #print(\"score is\", score)\n            target_batch.append(score)\n\n        target_batch = np.array(target_batch)\n        return target_batch\n\n    def step(self, action_sequence_batch, task_graph_batch, max_running_time_batch, min_running_time_batch):\n        plan_batch = []\n        for action_sequence, task_graph in zip(action_sequence_batch, task_graph_batch):\n            plan_sequence = []\n\n            for action, task_id in zip(action_sequence, task_graph.prioritize_sequence):\n                plan_sequence.append((task_id, action))\n\n            plan_batch.append(plan_sequence)\n\n        return self.get_reward_batch_step_by_step(plan_batch,\n                                                  task_graph_batch,\n                                                  max_running_time_batch,\n                                                  min_running_time_batch)\n\n    def get_running_cost(self, action_sequence_batch, task_graph_batch):\n        cost_batch = []\n        energy_batch = []\n        for action_sequence, task_graph in zip(action_sequence_batch,\n                                               task_graph_batch):\n            plan_sequence = []\n\n            for action, task_id in zip(action_sequence,\n                                       task_graph.prioritize_sequence):\n                plan_sequence.append((task_id, action))\n\n            _, _, task_finish_time, total_energy = self.get_scheduling_cost_step_by_step(plan_sequence, task_graph)\n\n            cost_batch.append(task_finish_time)\n            energy_batch.append(total_energy)\n\n        return cost_batch, energy_batch\n\n    def get_running_cost_by_plan_batch(self, plan_batch, task_graph_batch):\n        cost_batch = []\n        energy_batch = []\n        for plan, task_graph in zip(plan_batch, task_graph_batch):\n            self.resource_cluster.reset()\n            _, _, task_finish_time, total_energy = self.get_scheduling_cost_step_by_step(plan, task_graph)\n\n            cost_batch.append(task_finish_time)\n            energy_batch.append(total_energy)\n\n        return cost_batch, energy_batch\n\n    def calculate_qoe(self, latency_batch, energy_batch):\n        all_local_time, all_local_energy = self.get_all_locally_execute_time_batch()\n        all_local_time = np.squeeze(all_local_time)\n        all_local_energy = np.squeeze(all_local_energy)\n        latency_batch = np.squeeze(latency_batch)\n        energy_batch = np.squeeze(energy_batch)\n        qoe_batch = []\n\n        for latency, energy, single_all_local_latency, single_all_local_energy in zip(latency_batch, energy_batch,\n                                                                                      all_local_time, all_local_energy):\n            qoe = self.lambda_t * ((latency - single_all_local_latency) / single_all_local_latency) + \\\n                  self.lambda_e * ((energy - single_all_local_energy) / single_all_local_energy)\n\n            qoe = -qoe\n            qoe_batch.append(qoe)\n\n        return qoe_batch\n\n    def calculate_heft_cost(self):\n        plans, finish_time_batchs = self.greedy_solution(heft=True)\n        heft_latency_batch, heft_energy_batch = self.get_running_cost_by_plan_batch(plans[0], self.task_graphs[0])\n        latency_batch = np.array(heft_latency_batch)\n        energy_batch = np.array(heft_energy_batch)\n\n        qoe_batch = self.calculate_qoe(latency_batch, energy_batch)\n        self.heft_avg_run_time = np.mean(latency_batch)\n        self.heft_avg_energy = np.mean(energy_batch)\n        self.heft_avg_qoe = np.mean(qoe_batch)\n"
  },
  {
    "path": "rltaskoffloading/environment/offloading_env_test_heuristics.py",
    "content": "from rltaskoffloading.environment.offloading_env import Resources\nfrom rltaskoffloading.environment.offloading_env import OffloadingEnvironment\n\nimport numpy as np\nimport time\nimport logging\n\ndef calculate_qoe(latency_batch, energy_batch, env):\n    all_local_time, all_local_energy = env.get_all_locally_execute_time_batch()\n    all_local_time = np.squeeze(all_local_time)\n    all_local_energy = np.squeeze(all_local_energy)\n    latency_batch = np.squeeze(latency_batch)\n    energy_batch = np.squeeze(energy_batch)\n    qoe_batch = []\n\n    for latency, energy, single_all_local_latency, single_all_local_energy in zip(latency_batch, energy_batch, all_local_time, all_local_energy):\n        qoe = env.lambda_t * ((latency - single_all_local_latency) / single_all_local_latency) + \\\n              env.lambda_e * ((energy - single_all_local_energy) / single_all_local_energy)\n\n        qoe = -qoe\n        qoe_batch.append(qoe)\n\n    return qoe_batch\n\n\ndef evaluate_different_number(graph_file_pahts, lambda_t=1.0, lambda_e=0.0, logpath=\"./log.txt\"):\n\n    logging.basicConfig(filename=logpath,level=logging.DEBUG, filemode='w')\n    ch = logging.StreamHandler()\n    logger = logging.getLogger()\n    logger.addHandler(ch)\n\n    logger.info(\"=============Test heurestic methods for different n. =============\")\n    logger.info(\"lambda_t: \"+ str(lambda_t))\n    logger.info(\"lambda_e: \"+ str(lambda_e))\n\n    for graph_file_path in graph_file_pahts:\n        resource_cluster = Resources(mec_process_capable=(10.0 * 1024 * 1024),\n                                 mobile_process_capable=(1.0 * 1024 * 1024), bandwith_up=7.0, bandwith_dl=7.0)\n\n        env = OffloadingEnvironment(resource_cluster = resource_cluster,\n                               batch_size=100,\n                               graph_number=100,\n                               graph_file_paths=[graph_file_path],\n                               time_major=False,\n                               lambda_t=lambda_t,\n                               lambda_e=lambda_e)\n        if env.task_graphs[0][0].task_number < 20:\n            env.calculate_optimal_qoe()\n\n        # Calculate the heft algorithms latency, energy and qoe\n        plans, finish_time_batchs = env.greedy_solution(heft=True)\n        heft_latency_batch, heft_energy_batch = env.get_running_cost_by_plan_batch(plans[0], env.task_graphs[0])\n        latency_batch = np.array(heft_latency_batch)\n        energy_batch = np.array(heft_energy_batch)\n        heft_qoe_batch = calculate_qoe(latency_batch, energy_batch, env)\n\n        # Calculate the greedy algorithms latency, energy and qoe\n        plans, finish_time_batchs = env.greedy_solution(heft=False)\n        greedy_latency_batch, greedy_energy_batch = env.get_running_cost_by_plan_batch(plans[0], env.task_graphs[0])\n        latency_batch = np.array(greedy_latency_batch)\n        energy_batch = np.array(greedy_energy_batch)\n        greedy_qoe_batch = calculate_qoe(latency_batch, energy_batch, env)\n\n        # Calculate the round robin latency, energy and qoe\n        rrb_latency_batch, rrb_energy_batch = env.round_robin_solution()\n        rrb_qoe_batch = calculate_qoe(rrb_latency_batch, rrb_energy_batch, env)\n\n        # Calculate the random latency latency, energy and qoe\n        random_latency_batch, random_energy_batch = env.random_solution()\n        random_qoe_batch = calculate_qoe(random_latency_batch, random_energy_batch, env)\n\n        # Calculate the all local latency, energy and qoe\n        all_local_latency_batch, all_local_energy_batch = env.get_all_locally_execute_time_batch()\n        all_local_qoe_batch = calculate_qoe(all_local_latency_batch, all_local_energy_batch, env)\n\n        # Calculate the all remote latency, energy and qoe\n        all_remote_latency_batch, all_remote_energy_batch = env.get_all_mec_execute_time_batch()\n        all_remote_qoe_batch = calculate_qoe(all_remote_latency_batch, all_remote_energy_batch, env)\n\n        logger.info(graph_file_path)\n        logger.info(\"HEFT algorighm result: \")\n        logger.info(\"latency: \" + str(np.mean(heft_latency_batch)))\n        logger.info(\"energy: \"+ str( np.mean(heft_energy_batch)))\n        logger.info(\"qoe: \"+ str(np.mean(heft_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"Greedy algorighm result: \")\n        logger.info(\"latency: \"+ str(np.mean(greedy_latency_batch)))\n        logger.info(\"energy: \"+ str(np.mean(greedy_energy_batch)))\n        logger.info(\"qoe: \"+ str(np.mean(greedy_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"round roubin algorighm result: \")\n        logger.info(\"latency: \"+ str(np.mean(rrb_latency_batch)))\n        logger.info(\"energy: \"+ str(np.mean(rrb_energy_batch)))\n        logger.info(\"qoe: \" + str(np.mean(rrb_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"random algorighm result: \")\n        logger.info(\"latency: \" + str(np.mean(random_latency_batch)))\n        logger.info(\"energy: \" + str(np.mean(random_energy_batch)))\n        logger.info(\"qoe: \" + str(np.mean(random_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"all local algorighm result: \")\n        logger.info(\"latency: \" + str(np.mean(all_local_latency_batch)))\n        logger.info(\"energy: \" + str(np.mean(all_local_energy_batch)))\n        logger.info(\"qoe: \" + str(np.mean(all_local_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"all remote algorigthm result: \")\n        logger.info(\"latency: \" + str(np.mean(all_remote_latency_batch)))\n        logger.info(\"energy: \" + str(np.mean(all_remote_energy_batch)))\n        logger.info(\"qoe: \" + str( np.mean(all_remote_qoe_batch)))\n\n        logger.info(\"optimal qoe algorithm result: \")\n        logger.info(\"optimal qoe: \" + str(np.mean(env.optimal_qoe)))\n        logger.info(\"optimal qoe latency: \" + str(np.mean(env.optimal_qoe_latency)))\n        logger.info(\"optimal qoe energy: \"+ str( np.mean(env.optimal_qoe_energy)))\n\n\ndef evaluate_different_trans(graph_file_paths, lambda_t=1.0,\n                             lambda_e=0.0, bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0], logpath=\"./log.txt\"):\n    logging.basicConfig(filename=logpath, level=logging.DEBUG, filemode='w')\n    ch = logging.StreamHandler()\n    logger = logging.getLogger()\n    logger.addHandler(ch)\n\n    def test_case(trans_rate, graph_file_path, lambda_t=0.5, lambda_e=0.5):\n        resource_cluster = Resources(mec_process_capable=(8.0 * 1024 * 1024),\n                                     mobile_process_capable=(1.0 * 1024 * 1024), bandwith_up=trans_rate,\n                                     bandwith_dl=trans_rate)\n\n        logger.info(\"========= Testing the transmission rate {}Mbps. ============\".format(trans_rate))\n        env = OffloadingEnvironment(resource_cluster=resource_cluster,\n                                    batch_size=100,\n                                    graph_number=100,\n                                    graph_file_paths=[graph_file_path],\n                                    time_major=False,\n                                    lambda_t=lambda_t,\n                                    lambda_e=lambda_e)\n\n        env.calculate_optimal_qoe()\n\n        # Calculate the heft algorithms latency, energy and qoe\n        plans, finish_time_batchs = env.greedy_solution(heft=True)\n        heft_latency_batch, heft_energy_batch = env.get_running_cost_by_plan_batch(plans[0], env.task_graphs[0])\n        latency_batch = np.array(heft_latency_batch)\n        energy_batch = np.array(heft_energy_batch)\n        heft_qoe_batch = calculate_qoe(latency_batch, energy_batch, env)\n\n        # Calculate the greedy algorithms latency, energy and qoe\n        plans, finish_time_batchs = env.greedy_solution(heft=False)\n        greedy_latency_batch, greedy_energy_batch = env.get_running_cost_by_plan_batch(plans[0], env.task_graphs[0])\n        latency_batch = np.array(greedy_latency_batch)\n        energy_batch = np.array(greedy_energy_batch)\n        greedy_qoe_batch = calculate_qoe(latency_batch, energy_batch, env)\n\n        # Calculate the round robin latency, energy and qoe\n        rrb_latency_batch, rrb_energy_batch = env.round_robin_solution()\n        rrb_qoe_batch = calculate_qoe(rrb_latency_batch, rrb_energy_batch, env)\n\n        # Calculate the random latency latency, energy and qoe\n        random_latency_batch, random_energy_batch = env.random_solution()\n        random_qoe_batch = calculate_qoe(random_latency_batch, random_energy_batch, env)\n\n        # Calculate the all local latency, energy and qoe\n        all_local_latency_batch, all_local_energy_batch = env.get_all_locally_execute_time_batch()\n        all_local_qoe_batch = calculate_qoe(all_local_latency_batch, all_local_energy_batch, env)\n\n        # Calculate the all remote latency, energy and qoe\n        all_remote_latency_batch, all_remote_energy_batch = env.get_all_mec_execute_time_batch()\n        all_remote_qoe_batch = calculate_qoe(all_remote_latency_batch, all_remote_energy_batch, env)\n\n        logger.info(graph_file_path)\n        logger.info(\"HEFT algorighm result: \")\n        logger.info(\"latency: \"+str(np.mean(heft_latency_batch)))\n        logger.info(\"energy: \"+str(np.mean(heft_energy_batch)))\n        logger.info(\"qoe: \"+str(np.mean(heft_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"Greedy algorighm result: \")\n        logger.info(\"latency: \"+str(np.mean(greedy_latency_batch)))\n        logger.info(\"energy: \"+str(np.mean(greedy_energy_batch)))\n        logger.info(\"qoe: \"+str(np.mean(greedy_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"round roubin algorighm result: \")\n        logger.info(\"latency: \"+str(np.mean(rrb_latency_batch)))\n        logger.info(\"energy: \"+str(np.mean(rrb_energy_batch)))\n        logger.info(\"qoe: \"+str(np.mean(rrb_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"random algorighm result: \")\n        logger.info(\"latency: \"+str(np.mean(random_latency_batch)))\n        logger.info(\"energy: \"+str( np.mean(random_energy_batch)))\n        logger.info(\"qoe: \"+str( np.mean(random_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"all local algorighm result: \")\n        logger.info(\"latency: \"+str(np.mean(all_local_latency_batch)))\n        logger.info(\"energy: \"+str(np.mean(all_local_energy_batch)))\n        logger.info(\"qoe: \"+str( np.mean(all_local_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"all remote algorigthm result: \")\n        logger.info(\"latency: \"+str(np.mean(all_remote_latency_batch)))\n        logger.info(\"energy: \"+str(np.mean(all_remote_energy_batch)))\n        logger.info(\"qoe: \"+str(np.mean(all_remote_qoe_batch)))\n        logger.info(\" \")\n        logger.info(\"optimal qoe algorithm result: \")\n        logger.info(\"optimal qoe: \"+str(np.mean(env.optimal_qoe)))\n        logger.info(\"optimal qoe latency: \"+str(np.mean(env.optimal_qoe_latency)))\n        logger.info(\"optimal qoe energy: \"+str(np.mean(env.optimal_qoe_energy)))\n\n    for bandwidth in bandwidths:\n        test_case(trans_rate=bandwidth, lambda_t=lambda_t,\n                  lambda_e=lambda_e, graph_file_path=graph_file_paths)\n\n\n\n"
  },
  {
    "path": "rltaskoffloading/environment/offloading_task_graph.py",
    "content": "import numpy as np\nfrom graphviz import Digraph\nimport json\nimport pydotplus\n\nclass OffloadingTask(object):\n    def __init__(self, id_name, process_data_size, transmission_data_size, type_name, depth=0, heft_score=0 ):\n        self.id_name = id_name\n        self.processing_data_size = process_data_size\n        self.transmission_data_size = transmission_data_size\n        self.type_name = type_name\n        self.depth = depth\n        self.heft_score = heft_score\n        self.all_locally_execute = 0.0\n        self.all_mec_execute = 0.0\n\n    def print_task(self):\n        print(\"task id name: {}, task type name: {} task processing data size: {}, \"\n              \"task transmission_data_size: {}\".format(\n                                self.id_name, self.type_name,\n            self.processing_data_size, self.transmission_data_size))\n\n\nclass OffloadingDotParser(object):\n    def __init__(self, file_name, is_matrix):\n        self.succ_task_for_ids = {}\n        self.pre_task_for_ids = {}\n        self.is_matrix = is_matrix\n\n        self.dot_ob = pydotplus.graphviz.graph_from_dot_file(file_name)\n        self._parse_task()\n        self._parse_dependecies()\n        self._calculate_depth_and_transimission_datasize()\n\n\n    def _parse_task(self):\n        jobs = self.dot_ob.get_node_list()\n        self.task_list = [0] * len(jobs)\n\n        for job in jobs:\n            job_id = job.get_name()\n            data_size = int(eval(job.obj_dict['attributes']['size']))\n            communication_data_size = int(eval(job.obj_dict['attributes']['expect_size']))\n\n            task = OffloadingTask(job_id, data_size, 0, \"compute\")\n            task.transmission_data_size = communication_data_size\n            id = int(job_id) - 1\n            self.task_list[id] = task\n\n    def _parse_dependecies(self):\n        edge_list = self.dot_ob.get_edge_list()\n        dependencies = []\n\n        task_number = len(self.task_list)\n        dependency_matrix = np.zeros(shape=(task_number, task_number),\n                                     dtype=np.float32)\n\n        for i in range(len(self.task_list)):\n            self.pre_task_for_ids[i] = []\n            self.succ_task_for_ids[i] = []\n            dependency_matrix[i][i] = self.task_list[i].processing_data_size\n\n        for edge in edge_list:\n            source_id = int(edge.get_source()) - 1\n            destination_id = int(edge.get_destination()) - 1\n            data_size = int(eval(edge.obj_dict['attributes']['size']))\n\n            self.pre_task_for_ids[destination_id].append(source_id)\n            self.succ_task_for_ids[source_id].append(destination_id)\n\n            dependency = [source_id, destination_id, data_size]\n\n            dependency_matrix[source_id][destination_id] = data_size\n            dependencies.append(dependency)\n\n        self.dependencies = dependencies\n        self.dependency_matrix = dependency_matrix\n\n    def _calculate_depth_and_transimission_datasize(self):\n        ids_to_depth = dict()\n\n        def caluclate_depth_value(id):\n            if id in ids_to_depth.keys():\n                return ids_to_depth[id]\n            else:\n                if len(self.pre_task_for_ids[id]) != 0:\n                    depth = 1 + max([caluclate_depth_value(pre_task_id) for\n                                     pre_task_id in self.pre_task_for_ids[id]])\n                else:\n                    depth = 0\n\n                ids_to_depth[id] = depth\n\n            return ids_to_depth[id]\n\n        for id in range(len(self.task_list)):\n            ids_to_depth[id] = caluclate_depth_value(id)\n\n        for id, depth in ids_to_depth.items():\n            self.task_list[id].depth = depth\n\n    def generate_task_list(self):\n        return self.task_list\n\n    def generate_dependency(self):\n        return self.dependencies\n\n\nclass OffloadingTaskGraph(object):\n    def __init__(self, file_name, is_matrix=False):\n        self._parse_from_dot(file_name, is_matrix)\n\n    # add task list to\n    def _parse_from_dot(self, file_name, is_matrix):\n        parser = OffloadingDotParser(file_name, is_matrix)\n        task_list = parser.generate_task_list()\n\n        self.task_number = len(task_list)\n        self.dependency = np.zeros((self.task_number, self.task_number))\n        self.task_list = []\n        self.prioritize_sequence=[]\n\n        self.pre_task_sets = []\n        self.succ_task_sets = []\n        self.task_finish_time = [0] * self.task_number\n        self.edge_set = []\n\n        for _ in range(self.task_number):\n            self.pre_task_sets.append(set([]))\n            self.succ_task_sets.append(set([]))\n        # add task list to\n        self.add_task_list(task_list)\n\n        dependencies = parser.generate_dependency()\n\n        for pair in dependencies:\n            self.add_dependency(pair[0], pair[1], pair[2])\n\n        # get max data size and min data size, used to feature scaling.\n        self.max_data_size = np.max(self.dependency[self.dependency > 0.01])\n        self.min_data_size = np.min(self.dependency[self.dependency > 0.01])\n\n    def add_task_list(self, task_list):\n        self.task_list = task_list\n\n        for i in range(0, len(self.task_list)):\n            self.dependency[i][i] = task_list[i].processing_data_size\n\n    def norm_feature(self, data_size):\n        return float(data_size - self.min_data_size) / float(self.max_data_size - self.min_data_size)\n\n    def add_dependency(self, pre_task_index, succ_task_index, transmission_cost):\n        self.dependency[pre_task_index][succ_task_index] = transmission_cost\n        self.pre_task_sets[succ_task_index].add(pre_task_index)\n        self.succ_task_sets[pre_task_index].add(succ_task_index)\n\n        # for each edge, we use a five dimension vector to represent this\n        edge = [pre_task_index,\n                self.task_list[pre_task_index].depth,\n                self.task_list[pre_task_index].processing_data_size,\n                transmission_cost,\n                succ_task_index,\n                self.task_list[succ_task_index].depth,\n                self.task_list[succ_task_index].processing_data_size]\n\n        self.edge_set.append(edge)\n\n    # TODO: change the encode point sequence to cost time\n    def encode_point_sequence(self, encode_dependencies=True):\n        point_sequence = []\n        for i in range(self.task_number):\n            norm_processing_data_size = self.norm_feature(self.task_list[i].processing_data_size)\n            norm_transmission_data_size = self.norm_feature(self.task_list[i].transmission_data_size)\n            norm_data_size_list = [norm_processing_data_size, norm_transmission_data_size]\n            # heft_score = [self.task_list[i].heft_score]\n\n            pre_task_index_set = []\n            succs_task_index_set = []\n\n            for pre_task_index in range(0, i):\n                if self.dependency[pre_task_index][i] > 0.1:\n                    pre_task_index_set.append(pre_task_index)\n\n            while (len(pre_task_index_set) < 6):\n                pre_task_index_set.append(-1.0)\n\n            for succs_task_index in range(i + 1, self.task_number):\n                if self.dependency[i][succs_task_index] > 0.1:\n                    succs_task_index_set.append(succs_task_index)\n\n            while (len(succs_task_index_set) < 6):\n                succs_task_index_set.append(-1.0)\n\n            succs_task_index_set = succs_task_index_set[0:6]\n            pre_task_index_set = pre_task_index_set[0:6]\n\n            if encode_dependencies:\n                point_vector = norm_data_size_list + pre_task_index_set + succs_task_index_set\n            else:\n                point_vector = norm_data_size_list\n\n            point_sequence.append(point_vector)\n\n        return point_sequence\n\n    def encode_point_sequence_with_ranking(self, sorted_task, encode_dependencies=True):\n        point_sequence = self.encode_point_sequence(encode_dependencies=encode_dependencies)\n\n        prioritize_point_sequence = []\n        for task_id in sorted_task:\n            prioritize_point_sequence.append(point_sequence[task_id])\n\n        return prioritize_point_sequence\n\n    def encode_point_sequence_with_cost(self, resource_cluster, encode_dependencies=True):\n        point_sequence = []\n        for i in range(self.task_number):\n            task = self.task_list[i]\n            local_process_cost = task.processing_data_size / resource_cluster.mobile_process_capable\n            up_link_cost = resource_cluster.up_transmission_cost(task.processing_data_size)\n            mec_process_cost = task.processing_data_size / resource_cluster.mec_process_capble\n            down_link_cost = resource_cluster.dl_transmission_cost(task.transmission_data_size)\n\n            task_embeding_vector = [i, local_process_cost, up_link_cost,\n                                    mec_process_cost, down_link_cost]\n\n            pre_task_index_set = []\n            succs_task_index_set = []\n\n            for pre_task_index in range(0, i):\n                if self.dependency[pre_task_index][i] > 0.1:\n                    pre_task_index_set.append(pre_task_index)\n\n            while (len(pre_task_index_set) < 6):\n                pre_task_index_set.append(-1.0)\n\n            for succs_task_index in range(i + 1, self.task_number):\n                if self.dependency[i][succs_task_index] > 0.1:\n                    succs_task_index_set.append(succs_task_index)\n\n            while (len(succs_task_index_set) < 6):\n                succs_task_index_set.append(-1.0)\n\n            succs_task_index_set = succs_task_index_set[0:6]\n            pre_task_index_set = pre_task_index_set[0:6]\n\n            if encode_dependencies:\n                point_vector = task_embeding_vector + pre_task_index_set + succs_task_index_set\n            else:\n                point_vector = task_embeding_vector\n\n            point_sequence.append(point_vector)\n\n        return point_sequence\n\n\n    def encode_point_sequence_with_ranking_and_cost(self, sorted_task, resource_cluster, encode_dependencies=True):\n        point_sequence = self.encode_point_sequence_with_cost(resource_cluster, encode_dependencies=encode_dependencies)\n\n        prioritize_point_sequence = []\n        for task_id in sorted_task:\n            prioritize_point_sequence.append(point_sequence[task_id])\n\n        return prioritize_point_sequence\n\n\n    def encode_edge_sequence(self):\n        edge_array = []\n        for i in range(0, len(self.edge_set)):\n            if i < len(self.edge_set):\n                edge_array.append(self.edge_set[i])\n            else:\n                edge_array.append([0, 0, 0, 0, 0, 0, 0])\n\n        # input edge sequence refers to start node index\n        edge_array = sorted(edge_array)\n\n        return edge_array\n\n    def return_cost_metric(self):\n        adj_matrix = np.array(self.dependency)\n        cost_set = adj_matrix[np.nonzero(adj_matrix)]\n        cost_set = cost_set[cost_set > 0.01]\n\n        mean = np.mean(cost_set)\n        std = np.std(cost_set)\n\n        return mean, std\n\n    def print_graphic(self):\n        print(self.dependency)\n        print(\"This is pre_task_sets:\")\n        print(self.pre_task_sets)\n        print(\"This is edge set:\")\n        print(self.edge_set)\n\n    def prioritize_tasks(self, resource_cluster):\n        w = [0] * self.task_number\n        for i, task in enumerate(self.task_list):\n            t_locally = task.processing_data_size / resource_cluster.mobile_process_capable\n            t_mec = resource_cluster.up_transmission_cost(task.processing_data_size) + \\\n                    task.processing_data_size / resource_cluster.mec_process_capble + \\\n                    resource_cluster.dl_transmission_cost(task.transmission_data_size)\n\n            w[i] = min(t_locally, t_mec)\n\n        rank_dict = [-1] * self.task_number\n        def rank(task_index):\n            if rank_dict[task_index] != -1:\n                return rank_dict[task_index]\n\n            if len(self.succ_task_sets[task_index]) == 0:\n                rank_dict[task_index] = w[task_index]\n                return rank_dict[task_index]\n            else:\n                rank_dict[task_index] = w[task_index] + max(rank(j) for j in self.succ_task_sets[task_index])\n                return rank_dict[task_index]\n\n        for i in range(self.task_number):\n            rank(i)\n\n        sort = np.argsort(rank_dict)[::-1]\n        self.prioritize_sequence = sort\n        return sort\n\n\n    def render(self, path):\n        dot = Digraph(comment='DAG')\n\n        # str(self.task_list[i].running_time)\n        for i in range(0, self.task_number):\n            dot.node(str(i), str(i) + \":\" + str(self.task_list[i].processing_data_size))\n\n        for e in self.edge_set:\n            dot.edge(str(e[0]), str(e[4]), constraint='true', label=\"%.6f\" % e[3])\n\n        dot.render(path, view=False)\n\n\n\nif __name__ == \"__main__\":\n    task_graph = OffloadingTaskGraph('../data/offload_random10/random.10.17.gv')\n    task_graph.render('test')\n\n    np.set_printoptions(suppress=True)\n    encode_point = task_graph.encode_point_sequence()\n\n    print(np.array(encode_point).shape)\n    print(np.array(encode_point))\n\n    # task_graph = TaskGraph(\"../data/CyberShake_30/CyberShake.n.30.0.xml\")\n    # task_graph.render(\"test\")\n    # print(np.array(task_graph.encode_point_sequence()))\n    # print(np.array(task_graph.encode_point_sequence()).shape)\n    # print()\n    '''\n\n    cost_set_index = np.nonzero(task_graph.dependency)\n    none_zero_value = task_graph.dependency[cost_set_index]\n    print(\"len of non zero value is {}\".format(len(none_zero_value)))\n\n    dependency = np.copy(task_graph.dependency)\n    dependency[dependency < 0.01] = 0.0\n\n    cost_set_index = np.nonzero(task_graph.dependency)\n    none_zero_value = task_graph.dependency[cost_set_index]\n    print(\"len of non zero value is {}\".format(len(none_zero_value)))\n\n    np.set_printoptions(precision=5, suppress=True)\n\n    cost_set_index = np.nonzero(dependency)\n    none_zero_value = dependency[cost_set_index]\n    print(\"len of non zero value is {}\".format(len(none_zero_value)))\n\n    print()\n    print(\"Norm dependency is: \")\n    print(task_graph.norm_dependencies)\n    print(len(task_graph.norm_dependencies[np.nonzero(task_graph.norm_dependencies)]))\n\n    from rltaskoffloading.environment.resource_cluster import ResourceCluster\n    resource_cluster = ResourceCluster(5)\n    plan = np.zeros(20, dtype=np.int32)\n\n    cost = resource_cluster.get_norm_cost_through_step_by_step_schedule(plan, task_graph)\n\n    print(cost)\n\n    # Test max running time and min running time\n    print(task_graph.max_runtime)\n    print(task_graph.min_runtime)\n    '''\n"
  },
  {
    "path": "rltaskoffloading/environment/resource_cluster.py",
    "content": "import numpy as np\n\nfrom rltaskoffloading.environment.task_graph import TaskGraph\nfrom rltaskoffloading.environment.task_graph import Task\n\n\nclass ResourceCluster:\n    \"\"\"Resource cluster is used to simulate the cluster environment\"\"\"\n    def __init__(self, resource_number):\n        self.resource_number = resource_number\n        self.resources_available_time = [0] * resource_number\n        self.current_plan = {}\n\n    def reset(self):\n        self.resources_available_time = [0] * self.resource_number\n        self.current_plan = {}\n\n    def get_running_time_through_schedule_plan(self, schedule_plan, task_graph):\n        \"\"\"Calculate the running time through schedule plan\"\"\"\n        schedule_plan_index = [-1] * len(schedule_plan)\n        for i, machine in schedule_plan:\n            schedule_plan_index[i] = machine\n\n        for i, machine in schedule_plan:\n            current_task_start_time = self.resources_available_time[machine]\n            task_start_time = current_task_start_time\n\n            for pre_task_index in task_graph.pre_task_sets[i]:\n                pre_task_running_machine = schedule_plan_index[pre_task_index]\n\n                if pre_task_running_machine != machine:\n                    task_start_time = max((task_graph.task_finish_time[pre_task_index] +\n                                           task_graph.dependency[pre_task_index][i]), task_start_time)\n\n            task_graph.task_finish_time[i] = task_start_time + \\\n                                             task_graph.dependency[i][i]\n\n            self.resources_available_time[machine] = task_graph.task_finish_time[i]\n\n        finish_time = max(self.resources_available_time)\n\n        return finish_time\n\n    def schedule_task_get_finish_time(self, task_index, machine, task_graph):\n        \"\"\"schedule one task in the cluster\"\"\"\n        self.current_plan.append(machine)\n        current_finish_time = np.max(self.resources_available_time)\n        pre_task_sequence = task_graph.pre_task_sets[task_index]\n\n        start_time = self.resources_available_time[machine]\n\n        # dependency_start_time = [0] * len(pre_task_sequence)\n\n        for pre_task_index in pre_task_sequence:\n            pre_task_plan = self.current_plan[pre_task_index]\n            pre_task_finish_time = self.resources_available_time[pre_task_plan]\n\n            if pre_task_plan != machine:\n                dependency_start_time = pre_task_finish_time + task_graph.dependency[pre_task_index][task_index]\n\n                if dependency_start_time > start_time:\n                    start_time = dependency_start_time\n\n        self.resources_available_time[machine] = start_time + task_graph.dependency[task_index][task_index]\n\n        finish_time_after_schedule = np.max(self.resources_available_time)\n\n        return finish_time_after_schedule\n\n    def running_time(self):\n        return max(self.resources_available_time)\n\n    def get_resources_minimal_finish_time(self):\n        return min(self.resources_available_time)\n\n    '''\n        Calculate finish time for each machine\n    '''\n    def calculate_finish_time(self, task_index, resouce_number, task_graph, schedule_plan):\n        current_task_start_time = self.resources_available_time[resouce_number]\n        task_start_time = current_task_start_time\n\n        for pre_task_index in task_graph.pre_task_sets[task_index]:\n            pre_task_running_machine = schedule_plan[pre_task_index]\n\n            if pre_task_running_machine != resouce_number:\n                task_start_time = max((task_graph.task_finish_time[pre_task_index] +\n                                       task_graph.dependency[pre_task_index][task_index]), task_start_time)\n\n        task_finish_time = task_start_time + task_graph.dependency[task_index][task_index]\n\n        return task_finish_time\n\n    def best_effort_schedule(self, task_sequence, task_graph ):\n        schedule_plan = [-1] * task_graph.task_number\n        final_finish_time = 0\n\n        for task_index in task_sequence:\n            finish_time = [0] * self.resource_number\n            for i in range(0, self.resource_number):\n                finish_time[i] = self.calculate_finish_time(task_index, i, task_graph, schedule_plan)\n\n            best_resource = np.argmin(finish_time)\n            self.resources_available_time[best_resource] = finish_time[best_resource]\n            task_graph.task_finish_time[task_index] = finish_time[best_resource]\n            final_finish_time = finish_time[best_resource]\n\n            schedule_plan[task_index] = best_resource\n\n        task_graph.task_finish_time = [0] * task_graph.task_number\n\n        return schedule_plan\n\n    def get_cost_through_step_by_step_schedule(self, schedule_plan, task_graph):\n        cost_list = []\n        for i, plan in schedule_plan:\n            cost_list.append(self.schedule_task(i, plan, task_graph))\n\n        return cost_list\n\n    def get_norm_cost_through_step_by_step_schedule(self, schedule_plan, task_graph):\n        cost_list = []\n        for i, plan in enumerate(schedule_plan):\n            cost_list.append(self.schedule_task_of_norm_dependencies(i, plan, task_graph))\n\n        return cost_list\n\n    def get_final_cost_time_through_step_by_step_schedule(self, schedule_plan, task_graph):\n        cost_list = []\n        for i, plan in enumerate(schedule_plan):\n            cost_list.append(self.schedule_task_get_finish_time(i, plan, task_graph))\n\n        return cost_list\n\n    def schedule_task_of_norm_dependencies(self, task_index, machine, task_graph):\n        \"\"\"schedule one task in the cluster\"\"\"\n        self.current_plan.append(machine)\n        current_finish_time = np.max(self.resources_available_time)\n        pre_task_sequence = task_graph.pre_task_sets[task_index]\n\n        start_time = self.resources_available_time[machine]\n\n        # dependency_start_time = [0] * len(pre_task_sequence)\n\n        for pre_task_index in pre_task_sequence:\n            pre_task_plan = self.current_plan[pre_task_index]\n            pre_task_finish_time = self.resources_available_time[pre_task_plan]\n\n            if pre_task_plan != machine:\n                dependency_start_time = pre_task_finish_time + task_graph.norm_dependencies[pre_task_index][task_index]\n\n                if dependency_start_time > start_time:\n                    start_time = dependency_start_time\n\n        self.resources_available_time[machine] = start_time + task_graph.norm_dependencies[task_index][task_index]\n\n        finish_time_after_schedule = np.max(self.resources_available_time)\n\n        delta_cost = finish_time_after_schedule - current_finish_time\n\n        return delta_cost\n\n    def schedule_task(self, task_index, machine, task_graph ):\n        \"\"\"schedule one task in the cluster\"\"\"\n        self.current_plan[task_index] = machine\n        current_finish_time = np.max(self.resources_available_time)\n        pre_task_sequence = task_graph.pre_task_sets[task_index]\n\n        start_time = self.resources_available_time[machine]\n\n        #dependency_start_time = [0] * len(pre_task_sequence)\n\n        for pre_task_index in pre_task_sequence:\n            pre_task_plan = self.current_plan[pre_task_index]\n            pre_task_finish_time = self.resources_available_time[pre_task_plan]\n\n            if pre_task_plan != machine:\n                dependency_start_time = pre_task_finish_time + task_graph.dependency[pre_task_index][task_index]\n\n                if dependency_start_time > start_time:\n                    start_time = dependency_start_time\n\n        self.resources_available_time[machine] = start_time + task_graph.dependency[task_index][task_index]\n\n        finish_time_after_schedule = np.max(self.resources_available_time)\n\n        delta_cost = finish_time_after_schedule - current_finish_time\n\n        return delta_cost"
  },
  {
    "path": "rltaskoffloading/environment/task.py",
    "content": "class Task(object):\n    def __init__(self, id_name, running_time, type_name, depth=0, heft_score=0 ):\n        self.id_name = id_name\n        self.running_time = running_time\n        self.type_name = type_name\n        self.depth = depth\n        self.heft_score = heft_score\n\n    def print_task(self):\n        print(\"task id name: {}, task type name: {} task run time: {}\".format(\n                                self.id_name, self.type_name, self.running_time))\n"
  },
  {
    "path": "rltaskoffloading/environment/task_graph.py",
    "content": "import numpy as np\nfrom graphviz import Digraph\n\nfrom rltaskoffloading.environment.xml_parser import XMLParser\nfrom rltaskoffloading.environment.dot_parser import DotParser\nfrom rltaskoffloading.environment.task import Task\n\nimport json\n\n\nclass TaskGraph(object):\n    def __init__(self, file_name, is_xml=True, is_matrix=False):\n        if is_xml == True:\n            self._parse_from_xml(file_name, is_matrix)\n        else:\n            self._parse_from_dot(file_name, is_matrix)\n\n    # add task list to\n    def _parse_from_dot(self, file_name, is_matrix):\n        parser = DotParser(file_name, is_matrix)\n        task_list = parser.generate_task_list()\n\n        self.task_number = len(task_list)\n        self.dependency = np.zeros((self.task_number, self.task_number))\n        self.task_list = []\n\n        self.pre_task_sets = []\n        self.task_finish_time = [0] * self.task_number\n        self.edge_set = []\n\n        for _ in range(self.task_number):\n            self.pre_task_sets.append(set([]))\n        # add task list to\n        self.add_task_list(task_list)\n\n        dependencies = parser.generate_dependency()\n\n        for pair in dependencies:\n            self.add_dependency(pair[0], pair[1], pair[2])\n\n        self.max_runtime = np.max(self.dependency[self.dependency > 0.01])\n        self.min_runtime = np.min(self.dependency[self.dependency > 0.01])\n\n        # calcualte the heft rank\n        tasks_avg_time = [0] * self.task_number\n\n        for i in range(0, self.task_number):\n            tasks_avg_time[i] = self.task_list[i].running_time\n\n        avg_communicate_time = self.dependency\n\n        # set diag to be zero\n        avg_communicate_time = avg_communicate_time - \\\n                               avg_communicate_time * np.eye(self.task_number)\n\n        def calculate_rank(tasks_avg_time, avg_communicate_time):\n            task_rank = [-1] * len(tasks_avg_time)\n\n            def CalculateRankForEach(index):\n                if (task_rank[index] != -1):\n                    return task_rank[index]\n                else:\n                    succ_tasks = np.nonzero(avg_communicate_time[index])\n\n                    if len(succ_tasks[0]) != 0:\n                        task_rank[index] = tasks_avg_time[index] + np.max([avg_communicate_time[index][j] +\n                                                                           CalculateRankForEach(j) for j in\n                                                                           succ_tasks[0]])\n                    else:\n                        task_rank[index] = tasks_avg_time[index]\n\n                    return task_rank[index]\n            for i in range(len(tasks_avg_time)):\n                task_rank[i] = CalculateRankForEach(i)\n\n            task_rank = np.array(task_rank)\n            return task_rank\n\n        task_rank = calculate_rank(tasks_avg_time, avg_communicate_time)\n        self.heft_orders = np.argsort(-task_rank)\n\n    def _parse_from_xml(self, file_name, is_matrix):\n        parser = XMLParser(file_name)\n\n        task_list = parser.generate_task_list_by_toplogy()\n\n        self.task_number = len(task_list)\n        self.dependency = np.zeros((self.task_number, self.task_number))\n        self.task_list = []\n\n        self.pre_task_sets = []\n        self.task_finish_time = [0] * self.task_number\n        self.edge_set = []\n\n        for _ in range(self.task_number):\n            self.pre_task_sets.append(set([]))\n        # add task list to\n        self.add_task_list(task_list)\n\n        dependencies = parser.generate_dependency()\n\n        for pair in dependencies:\n            self.add_dependency(pair[0], pair[1], pair[2])\n\n        self.max_runtime = np.max(self.dependency[ self.dependency > 0.01])\n        self.min_runtime = np.min(self.dependency[ self.dependency > 0.01])\n\n        self.mean, self.std = self.return_cost_metric()\n        self.norm_dependencies = np.copy(self.dependency)\n        self.norm_dependencies[self.norm_dependencies < 0.01] = 0.0\n        self.norm_dependencies[self.norm_dependencies > 0.0 ] = ( self.norm_dependencies[self.norm_dependencies > 0.0 ] - self.mean ) / (self.std)\n\n    def add_task_list(self, task_list):\n        self.task_list = task_list\n\n        for i in range(0, len(self.task_list)):\n            self.dependency[i][i] = task_list[i].running_time\n\n    def add_dependency(self, pre_task_index, succ_task_index, transmission_cost):\n        self.dependency[pre_task_index][succ_task_index] = transmission_cost\n        self.pre_task_sets[succ_task_index].add(pre_task_index)\n\n        # for each edge, we use a five dimension vector to represent this\n        edge = [pre_task_index,\n                self.task_list[pre_task_index].depth,\n                self.task_list[pre_task_index].running_time,\n                transmission_cost,\n                succ_task_index,\n                self.task_list[succ_task_index].depth,\n                self.task_list[succ_task_index].running_time]\n\n        self.edge_set.append(edge)\n\n    def feature_scaling(self, cost):\n        return (cost - self.min_runtime) / (self.max_runtime - self.min_runtime)\n\n    def encode_point_sequence(self):\n        point_sequence = []\n        for i in range(self.task_number):\n            cost_time = [ self.feature_scaling(self.dependency[i][i]) ]\n\n            #print(\"befor norm {}, after norm {}\".format(self.dependency[i][i], cost_time))\n            #heft_score = [self.task_list[i].heft_score]\n            pre_task_cost = []\n            pre_task_index_set = []\n\n            succs_task_cost = []\n            succs_task_index_set = []\n\n            for pre_task_index in range(0, i):\n                # if there is no edge between tasks, the dependency[i][j] will be 0\n                if self.dependency[pre_task_index][i] > 0.1:\n                    communication_cost = self.feature_scaling(self.dependency[pre_task_index][i])\n                    pre_task_cost.append(communication_cost)\n                    pre_task_index_set.append(pre_task_index)\n\n            while (len(pre_task_cost) < 6):\n                pre_task_cost.append(-1.0)\n                pre_task_index_set.append(-1.0)\n\n            for succs_task_index in range(i + 1, self.task_number):\n                # if there is no edge between tasks, the dependency[i][j] will be 0\n                if self.dependency[i][succs_task_index] > 0.1:\n                    communication_cost = self.feature_scaling(self.dependency[i][succs_task_index])\n                    succs_task_cost.append(communication_cost)\n                    succs_task_index_set.append(succs_task_index)\n\n            while (len(succs_task_cost) < 6):\n                succs_task_cost.append(-1.0)\n                succs_task_index_set.append(-1.0)\n\n            succs_task_cost = succs_task_cost[0:6]\n            succs_task_index_set = succs_task_index_set[0:6]\n            pre_task_index_set = pre_task_index_set[0:6]\n            pre_task_cost = pre_task_cost[0:6]\n\n            point_vector = cost_time + pre_task_cost + succs_task_cost + pre_task_index_set + succs_task_index_set\n            point_sequence.append(point_vector)\n\n        return point_sequence\n\n    def encode_point_sequence_with_heft_sequence(self):\n        original_point_sequence = self.encode_point_sequence()\n        result_point_sequence = []\n        for i in self.heft_orders:\n            result_point_sequence.append(original_point_sequence[i])\n\n        return np.array(result_point_sequence)\n\n    def encode_edge_sequence(self):\n        edge_array = []\n        for i in range(0, len(self.edge_set)):\n            if i < len(self.edge_set):\n                edge_array.append(self.edge_set[i])\n            else:\n                edge_array.append([0, 0, 0, 0, 0, 0, 0])\n\n        # input edge sequence refers to start node index\n        edge_array = sorted(edge_array)\n\n        return edge_array\n\n    def return_cost_metric(self):\n        adj_matrix = np.array(self.dependency)\n        cost_set = adj_matrix[np.nonzero( adj_matrix )]\n        cost_set = cost_set[cost_set > 0.01]\n\n        mean = np.mean(cost_set)\n        std = np.std(cost_set)\n\n        return mean, std\n\n    def print_graphic(self):\n        print(self.dependency)\n        print(\"This is pre_task_sets:\")\n        print(self.pre_task_sets)\n        print(\"This is edge set:\")\n        print(self.edge_set)\n\n    def render(self, path):\n        dot = Digraph(comment='DAG')\n\n        # str(self.task_list[i].running_time)\n        for i in range(0, self.task_number):\n            dot.node(str(i), str(i) + \":\" +str(self.task_list[i].running_time))\n\n        for e in self.edge_set:\n            dot.edge(str(e[0]), str(e[4]), constraint='true', label=\"%.6f\" % e[3])\n\n        dot.render(path, view=False)\n\n    def serilaizeToJson(self, path):\n        dict = {\"graph\": [{\"nodes\": []}, {\"edges\": []}]}\n\n        for node in self.task_list:\n            dict[\"graph\"][0][\"nodes\"].append([node.depth, node.running_time])\n\n        dict[\"graph\"][1][\"edges\"] = self.edge_set\n\n        with open(path, 'w') as outfile:\n            json.dump(dict, outfile)\n\n    def deserilaizeFromJson(self, path):\n        dict = {}\n        task_list = []\n\n        with open(path, 'r') as infile:\n            dict = json.load(infile)\n\n        for node in dict[\"graph\"][0][\"nodes\"]:\n            task = Task(node[0], node[1])\n            task_list.append(task)\n\n        self.add_task_list(task_list)\n\n        for edge in dict[\"graph\"][1][\"edges\"]:\n            self.add_dependency(edge[0], edge[4], edge[3])\n\n\nif __name__ == \"__main__\":\n    task_graph = TaskGraph('../data/random20/random.20.0.gv', is_xml=False)\n    task_graph.render('test')\n\n    print(task_graph.heft_orders)\n\n    encoder_point = task_graph.encode_point_sequence()\n\n    np.set_printoptions(suppress=True)\n\n    print(np.array(encoder_point).shape)\n    print(np.array(encoder_point))\n\n    #task_graph = TaskGraph(\"../data/CyberShake_30/CyberShake.n.30.0.xml\")\n    #task_graph.render(\"test\")\n    #print(np.array(task_graph.encode_point_sequence()))\n    #print(np.array(task_graph.encode_point_sequence()).shape)\n    #print()\n    '''\n    \n    cost_set_index = np.nonzero(task_graph.dependency)\n    none_zero_value = task_graph.dependency[cost_set_index]\n    print(\"len of non zero value is {}\".format(len(none_zero_value)))\n\n    dependency = np.copy(task_graph.dependency)\n    dependency[dependency < 0.01] = 0.0\n\n    cost_set_index = np.nonzero(task_graph.dependency)\n    none_zero_value = task_graph.dependency[cost_set_index]\n    print(\"len of non zero value is {}\".format(len(none_zero_value)))\n\n    np.set_printoptions(precision=5, suppress=True)\n\n    cost_set_index = np.nonzero(dependency)\n    none_zero_value = dependency[cost_set_index]\n    print(\"len of non zero value is {}\".format(len(none_zero_value)))\n\n    print()\n    print(\"Norm dependency is: \")\n    print(task_graph.norm_dependencies)\n    print(len(task_graph.norm_dependencies[np.nonzero(task_graph.norm_dependencies)]))\n\n    from rltaskoffloading.environment.resource_cluster import ResourceCluster\n    resource_cluster = ResourceCluster(5)\n    plan = np.zeros(20, dtype=np.int32)\n\n    cost = resource_cluster.get_norm_cost_through_step_by_step_schedule(plan, task_graph)\n\n    print(cost)\n\n    # Test max running time and min running time\n    print(task_graph.max_runtime)\n    print(task_graph.min_runtime)\n    '''\n"
  },
  {
    "path": "rltaskoffloading/environment/xml_parser.py",
    "content": "import xml.dom.minidom\nfrom rltaskoffloading.environment.task import Task\n\nclass XMLParser:\n    def __init__(self, filename):\n        self.DOMTree = xml.dom.minidom.parse(filename)\n        self.collection = self.DOMTree.documentElement\n        self.names_to_ids = {}\n        self.ids_to_task = {}\n        self.ids_to_index = {}\n        self.ids_to_output_size = {}\n\n        #store the original dependencies for Parents to Child\n        self.succ_task_for_ids = {}\n        self.pre_task_for_ids = {}\n\n        self._parse_task()\n        self.dependencies = self._parse_dependency_by_ids()\n        self.ids_to_depth = self._calculate_depth()\n\n        self.sorted_task = self.sort_task_by_EFT()\n\n    def _parse_task(self):\n        jobs = self.collection.getElementsByTagName(\"job\")\n\n        for job in jobs:\n            name = job.getAttribute(\"name\")\n            job_id = job.getAttribute(\"id\")\n            running_time = float(job.getAttribute(\"runtime\"))\n\n            self.succ_task_for_ids[job_id] = []\n            self.pre_task_for_ids[job_id] = []\n\n            task = Task(job_id, running_time, name)\n\n            self.ids_to_task[job_id] = task\n\n            if name in self.names_to_ids.keys():\n                self.names_to_ids[name].append(job_id)\n            else:\n                self.names_to_ids[name] = []\n                self.names_to_ids[name].append(job_id)\n\n            uses = job.getElementsByTagName(\"uses\")\n            output_size = 0.0\n\n            for use in uses:\n                if use.getAttribute(\"link\") == \"output\":\n                    output_size += float(use.getAttribute(\"size\"))\n\n            self.ids_to_output_size[job_id] = output_size\n\n    def generate_task_list(self):\n        task_list = []\n        sequential_time = 0.0\n\n        for i, task in enumerate(self.sorted_task):\n            #task[0] means the id\n            self.ids_to_task[task[0]].depth = self.ids_to_depth[task[0]]\n            task_list.append(self.ids_to_task[task[0]])\n            self.ids_to_index[task[0]] = i\n            sequential_time += self.ids_to_task[task[0]].running_time\n\n        return task_list, sequential_time\n\n    def generate_dependency(self):\n        children = self.collection.getElementsByTagName(\"child\")\n        dependencies = []\n\n        for child in children:\n            child_id = child.getAttribute(\"ref\")\n            parents = child.getElementsByTagName(\"parent\")\n\n            for parent in parents:\n                parent_id = parent.getAttribute(\"ref\")\n                # set the environment as 100Mb networks\n                comunicate_delay = self.ids_to_output_size[parent_id] / (1000.0 *1024.0 * 1024.0 / 8.0)\n\n                dependency = [self.ids_to_index[parent_id],\n                              self.ids_to_index[child_id],\n                              comunicate_delay]\n\n                dependencies.append(dependency)\n\n        return dependencies\n\n    def generate_task_list_by_toplogy(self):\n        task_list = []\n        sorted_task = []\n        for task_id in self.names_to_ids[\"ExtractSGT\"]:\n            task_list.append(self.ids_to_task[task_id])\n            sorted_task.append(task_id)\n\n        for task_id in self.names_to_ids[\"SeismogramSynthesis\"]:\n            task_list.append(self.ids_to_task[task_id])\n            sorted_task.append(task_id)\n\n        for task_id in self.names_to_ids[\"ZipSeis\"]:\n            task_list.append(self.ids_to_task[task_id])\n            sorted_task.append(task_id)\n\n        for task_id in self.names_to_ids[\"PeakValCalcOkaya\"]:\n            task_list.append(self.ids_to_task[task_id])\n            sorted_task.append(task_id)\n\n        for task_id in self.names_to_ids[\"ZipPSA\"]:\n            task_list.append(self.ids_to_task[task_id])\n            sorted_task.append(task_id)\n\n        for index, task_id in enumerate(sorted_task):\n            self.ids_to_index[task_id] = index\n\n        return task_list\n\n    def sort_task_by_EFT(self):\n        #sort all task by EFT\n        heft_rank = {}\n\n        def CalculateRankForEach(task_id):\n            if task_id in heft_rank.keys():\n                return heft_rank[task_id]\n            else:\n                if len(self.succ_task_for_ids[task_id]) != 0:\n                    score = self.ids_to_task[task_id].running_time + max( [self.dependencies[(task_id, succ_task_id)] +\n                                                  CalculateRankForEach(succ_task_id) for succ_task_id in self.succ_task_for_ids[task_id]])\n                else:\n                    score = self.ids_to_task[task_id].running_time\n\n                heft_rank[task_id] = score\n                self.ids_to_task[task_id].heft_score = score\n\n                return score\n\n        for id in self.succ_task_for_ids:\n            CalculateRankForEach(id)\n\n        result = sorted(heft_rank.items(), key=lambda item:item[1], reverse=True)\n        self.sorted_task = result\n\n        return result\n\n    def _parse_dependency_by_ids(self):\n        children = self.collection.getElementsByTagName(\"child\")\n        dependencies = {}\n\n        for child in children:\n            child_id = child.getAttribute(\"ref\")\n            parents = child.getElementsByTagName(\"parent\")\n\n\n            for parent in parents:\n                parent_id = parent.getAttribute(\"ref\")\n\n                self.pre_task_for_ids[child_id].append(parent_id)\n                self.succ_task_for_ids[parent_id] += [child_id]\n\n                comunicate_delay = self.ids_to_output_size[parent_id] / (100.0 * 1024.0 * 1024.0 / 8.0)\n\n                dependencies[(parent_id, child_id)] = comunicate_delay\n\n        return dependencies\n\n\n    def _calculate_depth(self):\n        ids_to_depth = dict()\n\n        def caluclate_depth_value(id):\n            if id in ids_to_depth.keys():\n                return ids_to_depth[id]\n            else:\n                if len(self.pre_task_for_ids[id]) != 0:\n                    depth = 1 + max([caluclate_depth_value(pre_task_id) for\n                                            pre_task_id in self.pre_task_for_ids[id]])\n                else:\n                    depth = 0\n\n                ids_to_depth[id] = depth\n\n            return ids_to_depth[id]\n\n        for id in self.pre_task_for_ids:\n            ids_to_depth[id] = caluclate_depth_value(id)\n\n        return ids_to_depth\n\n\n    def _sort_task_by_topology(self):\n        #sort all task by topology\n        pass\n\n# Test basic parse method\nif __name__ == \"__main__\":\n    task_parser = XMLParser('../data/CyberShake_20/CyberShake.n.20.0.xml')\n    #task_parser.parse_task()\n    #print(len(task_parser.succ_task_for_ids))\n    #dependencies = task_parser.parse_dependency_by_ids()\n\n    #print(task_parser.succ_task_for_ids)\n\n    print(task_parser.sorted_task)\n    print(task_parser.dependencies)\n\n    task_list, _ = task_parser.generate_task_list()\n    task_depth = task_parser._calculate_depth()\n\n    print(task_depth)\n\n    for i, task in enumerate(task_list):\n        print(\"{}: {}\".format(i, task.id_name))\n        print(\"heft score {}\".format(task.heft_score))\n\n    print(task_parser.pre_task_for_ids)\n    print(task_parser.dependencies[('ID00002', 'ID00003')])\n\n"
  },
  {
    "path": "rltaskoffloading/logger.py",
    "content": "import os\nimport sys\nimport shutil\nimport os.path as osp\nimport json\nimport time\nimport datetime\nimport tempfile\nfrom collections import defaultdict\n\nLOG_OUTPUT_FORMATS = ['stdout', 'log', 'csv']\n# Also valid: json, tensorboard\n\nDEBUG = 10\nINFO = 20\nWARN = 30\nERROR = 40\n\nDISABLED = 50\n\nclass KVWriter(object):\n    def writekvs(self, kvs):\n        raise NotImplementedError\n\nclass SeqWriter(object):\n    def writeseq(self, seq):\n        raise NotImplementedError\n\nclass HumanOutputFormat(KVWriter, SeqWriter):\n    def __init__(self, filename_or_file):\n        if isinstance(filename_or_file, str):\n            self.file = open(filename_or_file, 'wt')\n            self.own_file = True\n        else:\n            assert hasattr(filename_or_file, 'read'), 'expected file or str, got %s'%filename_or_file\n            self.file = filename_or_file\n            self.own_file = False\n\n    def writekvs(self, kvs):\n        # Create strings for printing\n        key2str = {}\n        for (key, val) in sorted(kvs.items()):\n            if isinstance(val, float):\n                valstr = '%-8.3g' % (val,)\n            else:\n                valstr = str(val)\n            key2str[self._truncate(key)] = self._truncate(valstr)\n\n        # Find max widths\n        if len(key2str) == 0:\n            print('WARNING: tried to write empty key-value dict')\n            return\n        else:\n            keywidth = max(map(len, key2str.keys()))\n            valwidth = max(map(len, key2str.values()))\n\n        # Write out the data\n        dashes = '-' * (keywidth + valwidth + 7)\n        lines = [dashes]\n        for (key, val) in sorted(key2str.items()):\n            lines.append('| %s%s | %s%s |' % (\n                key,\n                ' ' * (keywidth - len(key)),\n                val,\n                ' ' * (valwidth - len(val)),\n            ))\n        lines.append(dashes)\n        self.file.write('\\n'.join(lines) + '\\n')\n\n        # Flush the output to the file\n        self.file.flush()\n\n    def _truncate(self, s):\n        return s[:20] + '...' if len(s) > 23 else s\n\n    def writeseq(self, seq):\n        for arg in seq:\n            self.file.write(arg)\n        self.file.write('\\n')\n        self.file.flush()\n\n    def close(self):\n        if self.own_file:\n            self.file.close()\n\nclass JSONOutputFormat(KVWriter):\n    def __init__(self, filename):\n        self.file = open(filename, 'wt')\n\n    def writekvs(self, kvs):\n        for k, v in sorted(kvs.items()):\n            if hasattr(v, 'dtype'):\n                v = v.tolist()\n                kvs[k] = float(v)\n        self.file.write(json.dumps(kvs) + '\\n')\n        self.file.flush()\n\n    def close(self):\n        self.file.close()\n\nclass CSVOutputFormat(KVWriter):\n    def __init__(self, filename):\n        self.file = open(filename, 'w+t')\n        self.keys = []\n        self.sep = ','\n\n    def writekvs(self, kvs):\n        # Add our current row to the history\n        extra_keys = kvs.keys() - self.keys\n        if extra_keys:\n            self.keys.extend(extra_keys)\n            self.file.seek(0)\n            lines = self.file.readlines()\n            self.file.seek(0)\n            for (i, k) in enumerate(self.keys):\n                if i > 0:\n                    self.file.write(',')\n                self.file.write(k)\n            self.file.write('\\n')\n            for line in lines[1:]:\n                self.file.write(line[:-1])\n                self.file.write(self.sep * len(extra_keys))\n                self.file.write('\\n')\n        for (i, k) in enumerate(self.keys):\n            if i > 0:\n                self.file.write(',')\n            v = kvs.get(k)\n            if v is not None:\n                self.file.write(str(v))\n        self.file.write('\\n')\n        self.file.flush()\n\n    def close(self):\n        self.file.close()\n\n\nclass TensorBoardOutputFormat(KVWriter):\n    \"\"\"\n    Dumps key/value pairs into TensorBoard's numeric format.\n    \"\"\"\n    def __init__(self, dir):\n        os.makedirs(dir, exist_ok=True)\n        self.dir = dir\n        self.step = 1\n        prefix = 'events'\n        path = osp.join(osp.abspath(dir), prefix)\n        import tensorflow as tf\n        from tensorflow.python import pywrap_tensorflow\n        from tensorflow.core.util import event_pb2\n        from tensorflow.python.util import compat\n        self.tf = tf\n        self.event_pb2 = event_pb2\n        self.pywrap_tensorflow = pywrap_tensorflow\n        self.writer = pywrap_tensorflow.EventsWriter(compat.as_bytes(path))\n\n    def writekvs(self, kvs):\n        def summary_val(k, v):\n            kwargs = {'tag': k, 'simple_value': float(v)}\n            return self.tf.Summary.Value(**kwargs)\n        summary = self.tf.Summary(value=[summary_val(k, v) for k, v in kvs.items()])\n        event = self.event_pb2.Event(wall_time=time.time(), summary=summary)\n        event.step = self.step # is there any reason why you'd want to specify the step?\n        self.writer.WriteEvent(event)\n        self.writer.Flush()\n        self.step += 1\n\n    def close(self):\n        if self.writer:\n            self.writer.Close()\n            self.writer = None\n\ndef make_output_format(format, ev_dir, log_suffix=''):\n    os.makedirs(ev_dir, exist_ok=True)\n    if format == 'stdout':\n        return HumanOutputFormat(sys.stdout)\n    elif format == 'log':\n        return HumanOutputFormat(osp.join(ev_dir, 'log%s.txt' % log_suffix))\n    elif format == 'json':\n        return JSONOutputFormat(osp.join(ev_dir, 'progress%s.json' % log_suffix))\n    elif format == 'csv':\n        return CSVOutputFormat(osp.join(ev_dir, 'progress%s.csv' % log_suffix))\n    elif format == 'tensorboard':\n        return TensorBoardOutputFormat(osp.join(ev_dir, 'tb%s' % log_suffix))\n    else:\n        raise ValueError('Unknown format specified: %s' % (format,))\n\n# ================================================================\n# API\n# ================================================================\n\ndef logkv(key, val):\n    \"\"\"\n    Log a value of some diagnostic\n    Call this once for each diagnostic quantity, each iteration\n    If called many times, last value will be used.\n    \"\"\"\n    Logger.CURRENT.logkv(key, val)\n\ndef logkv_mean(key, val):\n    \"\"\"\n    The same as logkv(), but if called many times, values averaged.\n    \"\"\"\n    Logger.CURRENT.logkv_mean(key, val)\n\ndef logkvs(d):\n    \"\"\"\n    Log a dictionary of key-value pairs\n    \"\"\"\n    for (k, v) in d.items():\n        logkv(k, v)\n\ndef dumpkvs():\n    \"\"\"\n    Write all of the diagnostics from the current iteration\n\n    level: int. (see logger.py docs) If the global logger level is higher than\n                the level argument here, don't print to stdout.\n    \"\"\"\n    Logger.CURRENT.dumpkvs()\n\ndef getkvs():\n    return Logger.CURRENT.name2val\n\n\ndef log(*args, level=INFO):\n    \"\"\"\n    Write the sequence of args, with no separators, to the console and output files (if you've configured an output file).\n    \"\"\"\n    Logger.CURRENT.log(*args, level=level)\n\ndef debug(*args):\n    log(*args, level=DEBUG)\n\ndef info(*args):\n    log(*args, level=INFO)\n\ndef warn(*args):\n    log(*args, level=WARN)\n\ndef error(*args):\n    log(*args, level=ERROR)\n\n\ndef set_level(level):\n    \"\"\"\n    Set logging threshold on current logger.\n    \"\"\"\n    Logger.CURRENT.set_level(level)\n\ndef get_dir():\n    \"\"\"\n    Get directory that log files are being written to.\n    will be None if there is no output directory (i.e., if you didn't call start)\n    \"\"\"\n    return Logger.CURRENT.get_dir()\n\nrecord_tabular = logkv\ndump_tabular = dumpkvs\n\nclass ProfileKV:\n    \"\"\"\n    Usage:\n    with logger.ProfileKV(\"interesting_scope\"):\n        code\n    \"\"\"\n    def __init__(self, n):\n        self.n = \"wait_\" + n\n    def __enter__(self):\n        self.t1 = time.time()\n    def __exit__(self ,type, value, traceback):\n        Logger.CURRENT.name2val[self.n] += time.time() - self.t1\n\ndef profile(n):\n    \"\"\"\n    Usage:\n    @profile(\"my_func\")\n    def my_func(): code\n    \"\"\"\n    def decorator_with_name(func):\n        def func_wrapper(*args, **kwargs):\n            with ProfileKV(n):\n                return func(*args, **kwargs)\n        return func_wrapper\n    return decorator_with_name\n\n\n# ================================================================\n# Backend\n# ================================================================\n\nclass Logger(object):\n    DEFAULT = None  # A logger with no output files. (See right below class definition)\n                    # So that you can still log to the terminal without setting up any output files\n    CURRENT = None  # Current logger being used by the free functions above\n\n    def __init__(self, dir, output_formats):\n        self.name2val = defaultdict(float)  # values this iteration\n        self.name2cnt = defaultdict(int)\n        self.level = INFO\n        self.dir = dir\n        self.output_formats = output_formats\n\n    # Logging API, forwarded\n    # ----------------------------------------\n    def logkv(self, key, val):\n        self.name2val[key] = val\n\n    def logkv_mean(self, key, val):\n        if val is None:\n            self.name2val[key] = None\n            return\n        oldval, cnt = self.name2val[key], self.name2cnt[key]\n        self.name2val[key] = oldval*cnt/(cnt+1) + val/(cnt+1)\n        self.name2cnt[key] = cnt + 1\n\n    def dumpkvs(self):\n        if self.level == DISABLED: return\n        for fmt in self.output_formats:\n            if isinstance(fmt, KVWriter):\n                fmt.writekvs(self.name2val)\n        self.name2val.clear()\n        self.name2cnt.clear()\n\n    def log(self, *args, level=INFO):\n        if self.level <= level:\n            self._do_log(args)\n\n    # Configuration\n    # ----------------------------------------\n    def set_level(self, level):\n        self.level = level\n\n    def get_dir(self):\n        return self.dir\n\n    def close(self):\n        for fmt in self.output_formats:\n            fmt.close()\n\n    # Misc\n    # ----------------------------------------\n    def _do_log(self, args):\n        for fmt in self.output_formats:\n            if isinstance(fmt, SeqWriter):\n                fmt.writeseq(map(str, args))\n\nLogger.DEFAULT = Logger.CURRENT = Logger(dir=None, output_formats=[HumanOutputFormat(sys.stdout)])\n\ndef configure(dir=None, format_strs=None):\n    if dir is None:\n        dir = os.getenv('LOGDIR')\n    if dir is None:\n        dir = osp.join(tempfile.gettempdir(),\n            datetime.datetime.now().strftime(\"%Y-%m-%d-%H-%M-%S-%f\"))\n    assert isinstance(dir, str)\n    os.makedirs(dir, exist_ok=True)\n\n    if format_strs is None:\n        strs = os.getenv('LOG_FORMAT')\n        format_strs = strs.split(',') if strs else LOG_OUTPUT_FORMATS\n    output_formats = [make_output_format(f, dir) for f in format_strs]\n\n    Logger.CURRENT = Logger(dir=dir, output_formats=output_formats)\n    log('Logging to %s'%dir)\n\ndef reset():\n    if Logger.CURRENT is not Logger.DEFAULT:\n        Logger.CURRENT.close()\n        Logger.CURRENT = Logger.DEFAULT\n        log('Reset logger')\n\nclass scoped_configure(object):\n    def __init__(self, dir=None, format_strs=None):\n        self.dir = dir\n        self.format_strs = format_strs\n        self.prevlogger = None\n    def __enter__(self):\n        self.prevlogger = Logger.CURRENT\n        configure(dir=self.dir, format_strs=self.format_strs)\n    def __exit__(self, *args):\n        Logger.CURRENT.close()\n        Logger.CURRENT = self.prevlogger\n\n# ================================================================\n\ndef _demo():\n    info(\"hi\")\n    debug(\"shouldn't appear\")\n    set_level(DEBUG)\n    debug(\"should appear\")\n    dir = \"/tmp/testlogging\"\n    if os.path.exists(dir):\n        shutil.rmtree(dir)\n    configure(dir=dir)\n    logkv(\"a\", 3)\n    logkv(\"b\", 2.5)\n    dumpkvs()\n    logkv(\"b\", -2.5)\n    logkv(\"a\", 5.5)\n    dumpkvs()\n    info(\"^^^ should see a = 5.5\")\n    logkv_mean(\"b\", -22.5)\n    logkv_mean(\"b\", -44.4)\n    logkv(\"a\", 5.5)\n    dumpkvs()\n    info(\"^^^ should see b = 33.3\")\n\n    logkv(\"b\", -2.5)\n    dumpkvs()\n\n    logkv(\"a\", \"longasslongasslongasslongasslongasslongassvalue\")\n    dumpkvs()\n\n\n# ================================================================\n# Readers\n# ================================================================\n\ndef read_json(fname):\n    import pandas\n    ds = []\n    with open(fname, 'rt') as fh:\n        for line in fh:\n            ds.append(json.loads(line))\n    return pandas.DataFrame(ds)\n\ndef read_csv(fname):\n    import pandas\n    return pandas.read_csv(fname, index_col=None, comment='#')\n\ndef read_tb(path):\n    \"\"\"\n    path : a tensorboard file OR a directory, where we will find all TB files\n           of the form events.*\n    \"\"\"\n    import pandas\n    import numpy as np\n    from glob import glob\n    from collections import defaultdict\n    import tensorflow as tf\n    if osp.isdir(path):\n        fnames = glob(osp.join(path, \"events.*\"))\n    elif osp.basename(path).startswith(\"events.\"):\n        fnames = [path]\n    else:\n        raise NotImplementedError(\"Expected tensorboard file or directory containing them. Got %s\"%path)\n    tag2pairs = defaultdict(list)\n    maxstep = 0\n    for fname in fnames:\n        for summary in tf.train.summary_iterator(fname):\n            if summary.step > 0:\n                for v in summary.summary.value:\n                    pair = (summary.step, v.simple_value)\n                    tag2pairs[v.tag].append(pair)\n                maxstep = max(summary.step, maxstep)\n    data = np.empty((maxstep, len(tag2pairs)))\n    data[:] = np.nan\n    tags = sorted(tag2pairs.keys())\n    for (colidx,tag) in enumerate(tags):\n        pairs = tag2pairs[tag]\n        for (step, value) in pairs:\n            data[step-1, colidx] = value\n    return pandas.DataFrame(data, columns=tags)\n\nif __name__ == \"__main__\":\n    _demo()\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/__init__.py",
    "content": ""
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/generate.py",
    "content": "import os\nimport sys\nimport random\n\n\nfat = [0.1, 0.3, 0.5, 0.7, 0.9]\ndensity = [0.5, 0.6, 0.7, 0.9]\nregularity = [0.5, 0.7, 0.9]\nccr = [0.3, 0.4, 0.5]\n\nmindata = int(5 * (1 * 1024.0 * 1024.0 ))\nmaxdata = int(50 * (1 * 1024.0 * 1024.0 ))\n\n\ndef main():\n\tfor i in range(1000):\n\t\tcommand = './daggen --dot -n 10'\n\t\tfile_name = 'random.10.' + str(i) +'.gv'\n\t\tcommand = (command + ' --ccr ' + str(ccr[random.randint(0,len(ccr)-1)])  +\n\t\t\t\t' --fat ' +  str(fat[random.randint(0,len(fat)-1)])  +\n\t\t\t\t' --regular ' + str(regularity[random.randint(0,len(regularity)-1)])  +\n\t\t\t\t' --density ' + str(density[random.randint(0,len(density)-1)]) +\n                ' --mindata ' + str(mindata) +\n                ' --maxdata ' + str(maxdata))\n\t\tprint(command)\n\n\t\tos.system( command + '> '+file_name)\n\nif __name__ == '__main__':\n\tmain()\n\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72200192\", alpha=\"0.10\", expect_size=\"36100096\"] \n  1 -> 2 [size =\"36100096\"]\n  2 [size=\"85307392\", alpha=\"0.13\", expect_size=\"42653696\"] \n  2 -> 3 [size =\"42653696\"]\n  3 [size=\"103430144\", alpha=\"0.19\", expect_size=\"51715072\"] \n  3 -> 4 [size =\"51715072\"]\n  4 [size=\"98748416\", alpha=\"0.09\", expect_size=\"49374208\"] \n  4 -> 5 [size =\"49374208\"]\n  5 [size=\"73457664\", alpha=\"0.05\", expect_size=\"36728832\"] \n  5 -> 6 [size =\"36728832\"]\n  6 [size=\"46313472\", alpha=\"0.06\", expect_size=\"23156736\"] \n  6 -> 7 [size =\"23156736\"]\n  7 [size=\"10774528\", alpha=\"0.09\", expect_size=\"5387264\"] \n  7 -> 8 [size =\"5387264\"]\n  8 [size=\"100360192\", alpha=\"0.11\", expect_size=\"50180096\"] \n  8 -> 9 [size =\"50180096\"]\n  9 [size=\"21309440\", alpha=\"0.06\", expect_size=\"10654720\"] \n  9 -> 10 [size =\"10654720\"]\n  10 [size=\"80766976\", alpha=\"0.00\", expect_size=\"40383488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92536320\", alpha=\"0.06\", expect_size=\"37014528\"] \n  1 -> 2 [size =\"37014528\"]\n  2 [size=\"59934720\", alpha=\"0.01\", expect_size=\"23973888\"] \n  2 -> 3 [size =\"23973888\"]\n  3 [size=\"113244160\", alpha=\"0.06\", expect_size=\"45297664\"] \n  3 -> 4 [size =\"45297664\"]\n  4 [size=\"43773440\", alpha=\"0.01\", expect_size=\"17509376\"] \n  4 -> 5 [size =\"17509376\"]\n  5 [size=\"80844800\", alpha=\"0.04\", expect_size=\"32337920\"] \n  5 -> 6 [size =\"32337920\"]\n  6 [size=\"53207040\", alpha=\"0.14\", expect_size=\"21282816\"] \n  6 -> 7 [size =\"21282816\"]\n  7 [size=\"35548160\", alpha=\"0.14\", expect_size=\"14219264\"] \n  7 -> 8 [size =\"14219264\"]\n  8 [size=\"114176000\", alpha=\"0.08\", expect_size=\"45670400\"] \n  8 -> 9 [size =\"45670400\"]\n  9 [size=\"90951680\", alpha=\"0.12\", expect_size=\"36380672\"] \n  9 -> 10 [size =\"36380672\"]\n  10 [size=\"73584640\", alpha=\"0.18\", expect_size=\"29433856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28620800\", alpha=\"0.03\", expect_size=\"8586240\"] \n  1 -> 6 [size =\"8586240\"]\n  1 -> 7 [size =\"8586240\"]\n  1 -> 8 [size =\"8586240\"]\n  1 -> 9 [size =\"8586240\"]\n  2 [size=\"73830400\", alpha=\"0.06\", expect_size=\"22149120\"] \n  2 -> 6 [size =\"22149120\"]\n  2 -> 7 [size =\"22149120\"]\n  2 -> 8 [size =\"22149120\"]\n  2 -> 9 [size =\"22149120\"]\n  3 [size=\"54152533\", alpha=\"0.11\", expect_size=\"16245760\"] \n  3 -> 6 [size =\"16245760\"]\n  3 -> 7 [size =\"16245760\"]\n  3 -> 8 [size =\"16245760\"]\n  3 -> 9 [size =\"16245760\"]\n  4 [size=\"22801067\", alpha=\"0.01\", expect_size=\"6840320\"] \n  4 -> 6 [size =\"6840320\"]\n  4 -> 7 [size =\"6840320\"]\n  4 -> 8 [size =\"6840320\"]\n  4 -> 9 [size =\"6840320\"]\n  5 [size=\"152299520\", alpha=\"0.14\", expect_size=\"45689856\"] \n  5 -> 6 [size =\"45689856\"]\n  5 -> 7 [size =\"45689856\"]\n  5 -> 8 [size =\"45689856\"]\n  5 -> 9 [size =\"45689856\"]\n  6 [size=\"145773227\", alpha=\"0.01\", expect_size=\"43731968\"] \n  6 -> 10 [size =\"43731968\"]\n  7 [size=\"101512533\", alpha=\"0.18\", expect_size=\"30453760\"] \n  7 -> 10 [size =\"30453760\"]\n  8 [size=\"73096533\", alpha=\"0.20\", expect_size=\"21928960\"] \n  8 -> 10 [size =\"21928960\"]\n  9 [size=\"54176427\", alpha=\"0.01\", expect_size=\"16252928\"] \n  9 -> 10 [size =\"16252928\"]\n  10 [size=\"66508800\", alpha=\"0.08\", expect_size=\"19952640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63301632\", alpha=\"0.13\", expect_size=\"31650816\"] \n  1 -> 2 [size =\"31650816\"]\n  2 [size=\"29732864\", alpha=\"0.11\", expect_size=\"14866432\"] \n  2 -> 3 [size =\"14866432\"]\n  3 [size=\"104482816\", alpha=\"0.16\", expect_size=\"52241408\"] \n  3 -> 4 [size =\"52241408\"]\n  4 [size=\"102848512\", alpha=\"0.02\", expect_size=\"51424256\"] \n  4 -> 5 [size =\"51424256\"]\n  5 [size=\"53243904\", alpha=\"0.09\", expect_size=\"26621952\"] \n  5 -> 6 [size =\"26621952\"]\n  6 [size=\"81039360\", alpha=\"0.13\", expect_size=\"40519680\"] \n  6 -> 7 [size =\"40519680\"]\n  7 [size=\"23320576\", alpha=\"0.17\", expect_size=\"11660288\"] \n  7 -> 8 [size =\"11660288\"]\n  8 [size=\"22044672\", alpha=\"0.05\", expect_size=\"11022336\"] \n  8 -> 9 [size =\"11022336\"]\n  9 [size=\"22761472\", alpha=\"0.18\", expect_size=\"11380736\"] \n  9 -> 10 [size =\"11380736\"]\n  10 [size=\"41588736\", alpha=\"0.00\", expect_size=\"20794368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61540352\", alpha=\"0.08\", expect_size=\"30770176\"] \n  1 -> 6 [size =\"30770176\"]\n  1 -> 9 [size =\"30770176\"]\n  2 [size=\"18135040\", alpha=\"0.08\", expect_size=\"9067520\"] \n  2 -> 5 [size =\"9067520\"]\n  2 -> 6 [size =\"9067520\"]\n  2 -> 7 [size =\"9067520\"]\n  2 -> 8 [size =\"9067520\"]\n  2 -> 10 [size =\"9067520\"]\n  3 [size=\"78184448\", alpha=\"0.12\", expect_size=\"39092224\"] \n  3 -> 4 [size =\"39092224\"]\n  3 -> 7 [size =\"39092224\"]\n  4 [size=\"74516480\", alpha=\"0.06\", expect_size=\"37258240\"] \n  5 [size=\"60174336\", alpha=\"0.17\", expect_size=\"30087168\"] \n  6 [size=\"13961216\", alpha=\"0.16\", expect_size=\"6980608\"] \n  7 [size=\"84897792\", alpha=\"0.17\", expect_size=\"42448896\"] \n  8 [size=\"39766016\", alpha=\"0.04\", expect_size=\"19883008\"] \n  9 [size=\"94177280\", alpha=\"0.06\", expect_size=\"47088640\"] \n  10 [size=\"57679872\", alpha=\"0.11\", expect_size=\"28839936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118958080\", alpha=\"0.15\", expect_size=\"35687424\"] \n  1 -> 5 [size =\"35687424\"]\n  1 -> 6 [size =\"35687424\"]\n  2 [size=\"99498667\", alpha=\"0.10\", expect_size=\"29849600\"] \n  2 -> 5 [size =\"29849600\"]\n  2 -> 7 [size =\"29849600\"]\n  2 -> 10 [size =\"29849600\"]\n  3 [size=\"68908373\", alpha=\"0.12\", expect_size=\"20672512\"] \n  3 -> 6 [size =\"20672512\"]\n  3 -> 9 [size =\"20672512\"]\n  4 [size=\"17595733\", alpha=\"0.08\", expect_size=\"5278720\"] \n  4 -> 8 [size =\"5278720\"]\n  5 [size=\"97372160\", alpha=\"0.14\", expect_size=\"29211648\"] \n  6 [size=\"27432960\", alpha=\"0.02\", expect_size=\"8229888\"] \n  7 [size=\"85227520\", alpha=\"0.15\", expect_size=\"25568256\"] \n  8 [size=\"25262080\", alpha=\"0.13\", expect_size=\"7578624\"] \n  9 [size=\"65078613\", alpha=\"0.10\", expect_size=\"19523584\"] \n  10 [size=\"115486720\", alpha=\"0.18\", expect_size=\"34646016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69955584\", alpha=\"0.07\", expect_size=\"34977792\"] \n  1 -> 3 [size =\"34977792\"]\n  1 -> 4 [size =\"34977792\"]\n  2 [size=\"19806208\", alpha=\"0.01\", expect_size=\"9903104\"] \n  2 -> 3 [size =\"9903104\"]\n  2 -> 4 [size =\"9903104\"]\n  2 -> 5 [size =\"9903104\"]\n  3 [size=\"69386240\", alpha=\"0.12\", expect_size=\"34693120\"] \n  3 -> 7 [size =\"34693120\"]\n  3 -> 8 [size =\"34693120\"]\n  4 [size=\"12716032\", alpha=\"0.16\", expect_size=\"6358016\"] \n  4 -> 6 [size =\"6358016\"]\n  4 -> 7 [size =\"6358016\"]\n  5 [size=\"19582976\", alpha=\"0.09\", expect_size=\"9791488\"] \n  5 -> 6 [size =\"9791488\"]\n  6 [size=\"101320704\", alpha=\"0.19\", expect_size=\"50660352\"] \n  6 -> 9 [size =\"50660352\"]\n  6 -> 10 [size =\"50660352\"]\n  7 [size=\"75145216\", alpha=\"0.06\", expect_size=\"37572608\"] \n  7 -> 10 [size =\"37572608\"]\n  8 [size=\"23842816\", alpha=\"0.07\", expect_size=\"11921408\"] \n  9 [size=\"30554112\", alpha=\"0.01\", expect_size=\"15277056\"] \n  10 [size=\"43827200\", alpha=\"0.16\", expect_size=\"21913600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73710933\", alpha=\"0.20\", expect_size=\"22113280\"] \n  1 -> 5 [size =\"22113280\"]\n  1 -> 7 [size =\"22113280\"]\n  1 -> 8 [size =\"22113280\"]\n  1 -> 9 [size =\"22113280\"]\n  1 -> 10 [size =\"22113280\"]\n  2 [size=\"160088747\", alpha=\"0.14\", expect_size=\"48026624\"] \n  2 -> 6 [size =\"48026624\"]\n  2 -> 10 [size =\"48026624\"]\n  3 [size=\"25504427\", alpha=\"0.03\", expect_size=\"7651328\"] \n  3 -> 6 [size =\"7651328\"]\n  4 [size=\"119811413\", alpha=\"0.02\", expect_size=\"35943424\"] \n  4 -> 5 [size =\"35943424\"]\n  4 -> 8 [size =\"35943424\"]\n  4 -> 9 [size =\"35943424\"]\n  4 -> 10 [size =\"35943424\"]\n  5 [size=\"171117227\", alpha=\"0.09\", expect_size=\"51335168\"] \n  6 [size=\"36812800\", alpha=\"0.05\", expect_size=\"11043840\"] \n  7 [size=\"131174400\", alpha=\"0.11\", expect_size=\"39352320\"] \n  8 [size=\"101894827\", alpha=\"0.02\", expect_size=\"30568448\"] \n  9 [size=\"118842027\", alpha=\"0.17\", expect_size=\"35652608\"] \n  10 [size=\"156081493\", alpha=\"0.05\", expect_size=\"46824448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76675072\", alpha=\"0.07\", expect_size=\"38337536\"] \n  1 -> 7 [size =\"38337536\"]\n  1 -> 9 [size =\"38337536\"]\n  2 [size=\"38914048\", alpha=\"0.13\", expect_size=\"19457024\"] \n  3 [size=\"94642176\", alpha=\"0.09\", expect_size=\"47321088\"] \n  3 -> 8 [size =\"47321088\"]\n  4 [size=\"73584640\", alpha=\"0.09\", expect_size=\"36792320\"] \n  4 -> 6 [size =\"36792320\"]\n  4 -> 8 [size =\"36792320\"]\n  5 [size=\"22831104\", alpha=\"0.03\", expect_size=\"11415552\"] \n  5 -> 6 [size =\"11415552\"]\n  5 -> 7 [size =\"11415552\"]\n  6 [size=\"77473792\", alpha=\"0.07\", expect_size=\"38736896\"] \n  7 [size=\"23384064\", alpha=\"0.05\", expect_size=\"11692032\"] \n  7 -> 10 [size =\"11692032\"]\n  8 [size=\"76994560\", alpha=\"0.01\", expect_size=\"38497280\"] \n  9 [size=\"64684032\", alpha=\"0.10\", expect_size=\"32342016\"] \n  10 [size=\"55064576\", alpha=\"0.14\", expect_size=\"27532288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43245568\", alpha=\"0.16\", expect_size=\"21622784\"] \n  2 [size=\"13314048\", alpha=\"0.15\", expect_size=\"6657024\"] \n  2 -> 8 [size =\"6657024\"]\n  3 [size=\"17008640\", alpha=\"0.06\", expect_size=\"8504320\"] \n  3 -> 6 [size =\"8504320\"]\n  3 -> 7 [size =\"8504320\"]\n  3 -> 8 [size =\"8504320\"]\n  4 [size=\"55861248\", alpha=\"0.09\", expect_size=\"27930624\"] \n  5 [size=\"63467520\", alpha=\"0.14\", expect_size=\"31733760\"] \n  6 [size=\"68020224\", alpha=\"0.00\", expect_size=\"34010112\"] \n  6 -> 10 [size =\"34010112\"]\n  7 [size=\"35100672\", alpha=\"0.10\", expect_size=\"17550336\"] \n  7 -> 9 [size =\"17550336\"]\n  8 [size=\"27680768\", alpha=\"0.10\", expect_size=\"13840384\"] \n  8 -> 9 [size =\"13840384\"]\n  9 [size=\"103571456\", alpha=\"0.13\", expect_size=\"51785728\"] \n  10 [size=\"79245312\", alpha=\"0.14\", expect_size=\"39622656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172731733\", alpha=\"0.15\", expect_size=\"51819520\"] \n  1 -> 7 [size =\"51819520\"]\n  2 [size=\"57012907\", alpha=\"0.08\", expect_size=\"17103872\"] \n  2 -> 5 [size =\"17103872\"]\n  2 -> 6 [size =\"17103872\"]\n  2 -> 7 [size =\"17103872\"]\n  2 -> 8 [size =\"17103872\"]\n  3 [size=\"133447680\", alpha=\"0.02\", expect_size=\"40034304\"] \n  3 -> 4 [size =\"40034304\"]\n  3 -> 5 [size =\"40034304\"]\n  3 -> 8 [size =\"40034304\"]\n  3 -> 9 [size =\"40034304\"]\n  4 [size=\"61777920\", alpha=\"0.18\", expect_size=\"18533376\"] \n  5 [size=\"171325440\", alpha=\"0.14\", expect_size=\"51397632\"] \n  6 [size=\"94972587\", alpha=\"0.13\", expect_size=\"28491776\"] \n  6 -> 10 [size =\"28491776\"]\n  7 [size=\"153504427\", alpha=\"0.05\", expect_size=\"46051328\"] \n  8 [size=\"38819840\", alpha=\"0.18\", expect_size=\"11645952\"] \n  9 [size=\"75711147\", alpha=\"0.05\", expect_size=\"22713344\"] \n  10 [size=\"88548693\", alpha=\"0.13\", expect_size=\"26564608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51193173\", alpha=\"0.12\", expect_size=\"15357952\"] \n  1 -> 2 [size =\"15357952\"]\n  2 [size=\"101799253\", alpha=\"0.08\", expect_size=\"30539776\"] \n  2 -> 3 [size =\"30539776\"]\n  3 [size=\"160023893\", alpha=\"0.08\", expect_size=\"48007168\"] \n  3 -> 4 [size =\"48007168\"]\n  4 [size=\"29074773\", alpha=\"0.10\", expect_size=\"8722432\"] \n  4 -> 5 [size =\"8722432\"]\n  5 [size=\"49715200\", alpha=\"0.02\", expect_size=\"14914560\"] \n  5 -> 6 [size =\"14914560\"]\n  6 [size=\"162949120\", alpha=\"0.16\", expect_size=\"48884736\"] \n  6 -> 7 [size =\"48884736\"]\n  7 [size=\"37393067\", alpha=\"0.04\", expect_size=\"11217920\"] \n  7 -> 8 [size =\"11217920\"]\n  8 [size=\"150999040\", alpha=\"0.20\", expect_size=\"45299712\"] \n  8 -> 9 [size =\"45299712\"]\n  9 [size=\"93044053\", alpha=\"0.03\", expect_size=\"27913216\"] \n  9 -> 10 [size =\"27913216\"]\n  10 [size=\"89688747\", alpha=\"0.03\", expect_size=\"26906624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103843840\", alpha=\"0.02\", expect_size=\"41537536\"] \n  1 -> 8 [size =\"41537536\"]\n  2 [size=\"95377920\", alpha=\"0.12\", expect_size=\"38151168\"] \n  2 -> 7 [size =\"38151168\"]\n  3 [size=\"81331200\", alpha=\"0.15\", expect_size=\"32532480\"] \n  3 -> 7 [size =\"32532480\"]\n  3 -> 8 [size =\"32532480\"]\n  3 -> 9 [size =\"32532480\"]\n  4 [size=\"59074560\", alpha=\"0.18\", expect_size=\"23629824\"] \n  5 [size=\"109836800\", alpha=\"0.15\", expect_size=\"43934720\"] \n  5 -> 6 [size =\"43934720\"]\n  5 -> 7 [size =\"43934720\"]\n  5 -> 8 [size =\"43934720\"]\n  6 [size=\"44917760\", alpha=\"0.19\", expect_size=\"17967104\"] \n  6 -> 10 [size =\"17967104\"]\n  7 [size=\"23339520\", alpha=\"0.05\", expect_size=\"9335808\"] \n  7 -> 10 [size =\"9335808\"]\n  8 [size=\"20198400\", alpha=\"0.05\", expect_size=\"8079360\"] \n  9 [size=\"90897920\", alpha=\"0.00\", expect_size=\"36359168\"] \n  9 -> 10 [size =\"36359168\"]\n  10 [size=\"63183360\", alpha=\"0.01\", expect_size=\"25273344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137250133\", alpha=\"0.19\", expect_size=\"41175040\"] \n  1 -> 4 [size =\"41175040\"]\n  1 -> 5 [size =\"41175040\"]\n  2 [size=\"65508693\", alpha=\"0.20\", expect_size=\"19652608\"] \n  3 [size=\"75830613\", alpha=\"0.15\", expect_size=\"22749184\"] \n  3 -> 4 [size =\"22749184\"]\n  3 -> 5 [size =\"22749184\"]\n  4 [size=\"93429760\", alpha=\"0.04\", expect_size=\"28028928\"] \n  4 -> 6 [size =\"28028928\"]\n  4 -> 7 [size =\"28028928\"]\n  5 [size=\"42840747\", alpha=\"0.18\", expect_size=\"12852224\"] \n  5 -> 7 [size =\"12852224\"]\n  6 [size=\"120872960\", alpha=\"0.19\", expect_size=\"36261888\"] \n  7 [size=\"69741227\", alpha=\"0.10\", expect_size=\"20922368\"] \n  7 -> 8 [size =\"20922368\"]\n  7 -> 9 [size =\"20922368\"]\n  7 -> 10 [size =\"20922368\"]\n  8 [size=\"159754240\", alpha=\"0.06\", expect_size=\"47926272\"] \n  9 [size=\"38362453\", alpha=\"0.03\", expect_size=\"11508736\"] \n  10 [size=\"147251200\", alpha=\"0.04\", expect_size=\"44175360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61708800\", alpha=\"0.01\", expect_size=\"24683520\"] \n  1 -> 5 [size =\"24683520\"]\n  1 -> 6 [size =\"24683520\"]\n  1 -> 7 [size =\"24683520\"]\n  2 [size=\"121940480\", alpha=\"0.04\", expect_size=\"48776192\"] \n  2 -> 5 [size =\"48776192\"]\n  2 -> 7 [size =\"48776192\"]\n  3 [size=\"101754880\", alpha=\"0.12\", expect_size=\"40701952\"] \n  3 -> 8 [size =\"40701952\"]\n  4 [size=\"36331520\", alpha=\"0.18\", expect_size=\"14532608\"] \n  5 [size=\"100966400\", alpha=\"0.06\", expect_size=\"40386560\"] \n  5 -> 9 [size =\"40386560\"]\n  6 [size=\"91304960\", alpha=\"0.12\", expect_size=\"36521984\"] \n  7 [size=\"96092160\", alpha=\"0.20\", expect_size=\"38436864\"] \n  7 -> 9 [size =\"38436864\"]\n  8 [size=\"16563200\", alpha=\"0.03\", expect_size=\"6625280\"] \n  8 -> 10 [size =\"6625280\"]\n  9 [size=\"79462400\", alpha=\"0.03\", expect_size=\"31784960\"] \n  10 [size=\"92264960\", alpha=\"0.10\", expect_size=\"36905984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17088512\", alpha=\"0.03\", expect_size=\"8544256\"] \n  1 -> 4 [size =\"8544256\"]\n  1 -> 5 [size =\"8544256\"]\n  2 [size=\"40075264\", alpha=\"0.08\", expect_size=\"20037632\"] \n  2 -> 5 [size =\"20037632\"]\n  3 [size=\"83046400\", alpha=\"0.10\", expect_size=\"41523200\"] \n  4 [size=\"90128384\", alpha=\"0.03\", expect_size=\"45064192\"] \n  4 -> 7 [size =\"45064192\"]\n  5 [size=\"104146944\", alpha=\"0.01\", expect_size=\"52073472\"] \n  5 -> 6 [size =\"52073472\"]\n  6 [size=\"14309376\", alpha=\"0.06\", expect_size=\"7154688\"] \n  6 -> 8 [size =\"7154688\"]\n  6 -> 10 [size =\"7154688\"]\n  7 [size=\"49790976\", alpha=\"0.10\", expect_size=\"24895488\"] \n  7 -> 9 [size =\"24895488\"]\n  8 [size=\"85413888\", alpha=\"0.19\", expect_size=\"42706944\"] \n  9 [size=\"74012672\", alpha=\"0.18\", expect_size=\"37006336\"] \n  10 [size=\"61743104\", alpha=\"0.20\", expect_size=\"30871552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11290624\", alpha=\"0.08\", expect_size=\"5645312\"] \n  1 -> 8 [size =\"5645312\"]\n  1 -> 9 [size =\"5645312\"]\n  1 -> 10 [size =\"5645312\"]\n  2 [size=\"26320896\", alpha=\"0.14\", expect_size=\"13160448\"] \n  2 -> 9 [size =\"13160448\"]\n  2 -> 9 [size =\"13160448\"]\n  2 -> 10 [size =\"13160448\"]\n  3 [size=\"34344960\", alpha=\"0.06\", expect_size=\"17172480\"] \n  3 -> 10 [size =\"17172480\"]\n  4 [size=\"96636928\", alpha=\"0.10\", expect_size=\"48318464\"] \n  5 [size=\"43132928\", alpha=\"0.11\", expect_size=\"21566464\"] \n  5 -> 8 [size =\"21566464\"]\n  5 -> 10 [size =\"21566464\"]\n  6 [size=\"22702080\", alpha=\"0.01\", expect_size=\"11351040\"] \n  7 [size=\"101974016\", alpha=\"0.11\", expect_size=\"50987008\"] \n  7 -> 9 [size =\"50987008\"]\n  8 [size=\"92119040\", alpha=\"0.15\", expect_size=\"46059520\"] \n  9 [size=\"32475136\", alpha=\"0.09\", expect_size=\"16237568\"] \n  10 [size=\"80582656\", alpha=\"0.08\", expect_size=\"40291328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49866240\", alpha=\"0.20\", expect_size=\"19946496\"] \n  1 -> 2 [size =\"19946496\"]\n  2 [size=\"24591360\", alpha=\"0.19\", expect_size=\"9836544\"] \n  2 -> 3 [size =\"9836544\"]\n  3 [size=\"59604480\", alpha=\"0.00\", expect_size=\"23841792\"] \n  3 -> 4 [size =\"23841792\"]\n  4 [size=\"53493760\", alpha=\"0.06\", expect_size=\"21397504\"] \n  4 -> 5 [size =\"21397504\"]\n  5 [size=\"121886720\", alpha=\"0.02\", expect_size=\"48754688\"] \n  5 -> 6 [size =\"48754688\"]\n  6 [size=\"34442240\", alpha=\"0.18\", expect_size=\"13776896\"] \n  6 -> 7 [size =\"13776896\"]\n  7 [size=\"86812160\", alpha=\"0.09\", expect_size=\"34724864\"] \n  7 -> 8 [size =\"34724864\"]\n  8 [size=\"46743040\", alpha=\"0.11\", expect_size=\"18697216\"] \n  8 -> 9 [size =\"18697216\"]\n  9 [size=\"123159040\", alpha=\"0.13\", expect_size=\"49263616\"] \n  9 -> 10 [size =\"49263616\"]\n  10 [size=\"116554240\", alpha=\"0.11\", expect_size=\"46621696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103144107\", alpha=\"0.18\", expect_size=\"30943232\"] \n  1 -> 3 [size =\"30943232\"]\n  2 [size=\"169618773\", alpha=\"0.17\", expect_size=\"50885632\"] \n  2 -> 3 [size =\"50885632\"]\n  3 [size=\"104253440\", alpha=\"0.14\", expect_size=\"31276032\"] \n  3 -> 4 [size =\"31276032\"]\n  3 -> 5 [size =\"31276032\"]\n  4 [size=\"143643307\", alpha=\"0.15\", expect_size=\"43092992\"] \n  4 -> 6 [size =\"43092992\"]\n  4 -> 7 [size =\"43092992\"]\n  5 [size=\"123583147\", alpha=\"0.03\", expect_size=\"37074944\"] \n  5 -> 6 [size =\"37074944\"]\n  6 [size=\"134656000\", alpha=\"0.17\", expect_size=\"40396800\"] \n  6 -> 10 [size =\"40396800\"]\n  7 [size=\"69898240\", alpha=\"0.03\", expect_size=\"20969472\"] \n  7 -> 8 [size =\"20969472\"]\n  7 -> 9 [size =\"20969472\"]\n  7 -> 10 [size =\"20969472\"]\n  8 [size=\"25832107\", alpha=\"0.16\", expect_size=\"7749632\"] \n  9 [size=\"92337493\", alpha=\"0.04\", expect_size=\"27701248\"] \n  10 [size=\"103768747\", alpha=\"0.10\", expect_size=\"31130624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72506027\", alpha=\"0.12\", expect_size=\"21751808\"] \n  1 -> 2 [size =\"21751808\"]\n  2 [size=\"144134827\", alpha=\"0.06\", expect_size=\"43240448\"] \n  2 -> 3 [size =\"43240448\"]\n  3 [size=\"36655787\", alpha=\"0.06\", expect_size=\"10996736\"] \n  3 -> 4 [size =\"10996736\"]\n  4 [size=\"94822400\", alpha=\"0.01\", expect_size=\"28446720\"] \n  4 -> 5 [size =\"28446720\"]\n  5 [size=\"54626987\", alpha=\"0.11\", expect_size=\"16388096\"] \n  5 -> 6 [size =\"16388096\"]\n  6 [size=\"33481387\", alpha=\"0.14\", expect_size=\"10044416\"] \n  6 -> 7 [size =\"10044416\"]\n  7 [size=\"174687573\", alpha=\"0.19\", expect_size=\"52406272\"] \n  7 -> 8 [size =\"52406272\"]\n  8 [size=\"110943573\", alpha=\"0.05\", expect_size=\"33283072\"] \n  8 -> 9 [size =\"33283072\"]\n  9 [size=\"99795627\", alpha=\"0.14\", expect_size=\"29938688\"] \n  9 -> 10 [size =\"29938688\"]\n  10 [size=\"82329600\", alpha=\"0.06\", expect_size=\"24698880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45502464\", alpha=\"0.18\", expect_size=\"22751232\"] \n  1 -> 2 [size =\"22751232\"]\n  2 [size=\"96495616\", alpha=\"0.04\", expect_size=\"48247808\"] \n  2 -> 3 [size =\"48247808\"]\n  3 [size=\"56555520\", alpha=\"0.03\", expect_size=\"28277760\"] \n  3 -> 4 [size =\"28277760\"]\n  4 [size=\"40593408\", alpha=\"0.13\", expect_size=\"20296704\"] \n  4 -> 5 [size =\"20296704\"]\n  5 [size=\"71469056\", alpha=\"0.10\", expect_size=\"35734528\"] \n  5 -> 6 [size =\"35734528\"]\n  6 [size=\"63873024\", alpha=\"0.02\", expect_size=\"31936512\"] \n  6 -> 7 [size =\"31936512\"]\n  7 [size=\"28530688\", alpha=\"0.14\", expect_size=\"14265344\"] \n  7 -> 8 [size =\"14265344\"]\n  8 [size=\"58075136\", alpha=\"0.02\", expect_size=\"29037568\"] \n  8 -> 9 [size =\"29037568\"]\n  9 [size=\"64815104\", alpha=\"0.11\", expect_size=\"32407552\"] \n  9 -> 10 [size =\"32407552\"]\n  10 [size=\"75542528\", alpha=\"0.04\", expect_size=\"37771264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16496640\", alpha=\"0.04\", expect_size=\"6598656\"] \n  2 [size=\"115596800\", alpha=\"0.13\", expect_size=\"46238720\"] \n  2 -> 9 [size =\"46238720\"]\n  3 [size=\"107420160\", alpha=\"0.18\", expect_size=\"42968064\"] \n  3 -> 10 [size =\"42968064\"]\n  4 [size=\"74741760\", alpha=\"0.10\", expect_size=\"29896704\"] \n  4 -> 10 [size =\"29896704\"]\n  5 [size=\"101736960\", alpha=\"0.17\", expect_size=\"40694784\"] \n  5 -> 8 [size =\"40694784\"]\n  5 -> 10 [size =\"40694784\"]\n  6 [size=\"43781120\", alpha=\"0.03\", expect_size=\"17512448\"] \n  7 [size=\"93237760\", alpha=\"0.01\", expect_size=\"37295104\"] \n  7 -> 8 [size =\"37295104\"]\n  8 [size=\"20247040\", alpha=\"0.00\", expect_size=\"8098816\"] \n  9 [size=\"108976640\", alpha=\"0.07\", expect_size=\"43590656\"] \n  10 [size=\"55636480\", alpha=\"0.18\", expect_size=\"22254592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22993920\", alpha=\"0.01\", expect_size=\"9197568\"] \n  1 -> 4 [size =\"9197568\"]\n  1 -> 5 [size =\"9197568\"]\n  2 [size=\"100769280\", alpha=\"0.04\", expect_size=\"40307712\"] \n  2 -> 4 [size =\"40307712\"]\n  2 -> 6 [size =\"40307712\"]\n  3 [size=\"121177600\", alpha=\"0.10\", expect_size=\"48471040\"] \n  3 -> 5 [size =\"48471040\"]\n  3 -> 7 [size =\"48471040\"]\n  4 [size=\"28098560\", alpha=\"0.01\", expect_size=\"11239424\"] \n  4 -> 8 [size =\"11239424\"]\n  5 [size=\"98611200\", alpha=\"0.09\", expect_size=\"39444480\"] \n  5 -> 8 [size =\"39444480\"]\n  6 [size=\"69547520\", alpha=\"0.18\", expect_size=\"27819008\"] \n  7 [size=\"127718400\", alpha=\"0.09\", expect_size=\"51087360\"] \n  8 [size=\"72015360\", alpha=\"0.18\", expect_size=\"28806144\"] \n  8 -> 9 [size =\"28806144\"]\n  8 -> 10 [size =\"28806144\"]\n  9 [size=\"81561600\", alpha=\"0.03\", expect_size=\"32624640\"] \n  10 [size=\"51985920\", alpha=\"0.06\", expect_size=\"20794368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55214080\", alpha=\"0.09\", expect_size=\"16564224\"] \n  1 -> 8 [size =\"16564224\"]\n  1 -> 9 [size =\"16564224\"]\n  2 [size=\"135888213\", alpha=\"0.17\", expect_size=\"40766464\"] \n  3 [size=\"20995413\", alpha=\"0.19\", expect_size=\"6298624\"] \n  3 -> 9 [size =\"6298624\"]\n  4 [size=\"44407467\", alpha=\"0.05\", expect_size=\"13322240\"] \n  4 -> 8 [size =\"13322240\"]\n  5 [size=\"130597547\", alpha=\"0.12\", expect_size=\"39179264\"] \n  5 -> 7 [size =\"39179264\"]\n  5 -> 8 [size =\"39179264\"]\n  5 -> 10 [size =\"39179264\"]\n  6 [size=\"67635200\", alpha=\"0.16\", expect_size=\"20290560\"] \n  6 -> 8 [size =\"20290560\"]\n  6 -> 10 [size =\"20290560\"]\n  7 [size=\"170202453\", alpha=\"0.07\", expect_size=\"51060736\"] \n  8 [size=\"25002667\", alpha=\"0.09\", expect_size=\"7500800\"] \n  9 [size=\"120548693\", alpha=\"0.15\", expect_size=\"36164608\"] \n  10 [size=\"115042987\", alpha=\"0.14\", expect_size=\"34512896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44373333\", alpha=\"0.06\", expect_size=\"13312000\"] \n  1 -> 8 [size =\"13312000\"]\n  2 [size=\"121733120\", alpha=\"0.17\", expect_size=\"36519936\"] \n  2 -> 6 [size =\"36519936\"]\n  3 [size=\"41987413\", alpha=\"0.17\", expect_size=\"12596224\"] \n  3 -> 6 [size =\"12596224\"]\n  3 -> 7 [size =\"12596224\"]\n  3 -> 8 [size =\"12596224\"]\n  4 [size=\"102341973\", alpha=\"0.00\", expect_size=\"30702592\"] \n  4 -> 6 [size =\"30702592\"]\n  4 -> 8 [size =\"30702592\"]\n  4 -> 9 [size =\"30702592\"]\n  5 [size=\"120405333\", alpha=\"0.00\", expect_size=\"36121600\"] \n  5 -> 9 [size =\"36121600\"]\n  6 [size=\"61661867\", alpha=\"0.08\", expect_size=\"18498560\"] \n  7 [size=\"104727893\", alpha=\"0.05\", expect_size=\"31418368\"] \n  7 -> 10 [size =\"31418368\"]\n  8 [size=\"17646933\", alpha=\"0.01\", expect_size=\"5294080\"] \n  9 [size=\"50595840\", alpha=\"0.03\", expect_size=\"15178752\"] \n  9 -> 10 [size =\"15178752\"]\n  10 [size=\"157767680\", alpha=\"0.11\", expect_size=\"47330304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87468032\", alpha=\"0.20\", expect_size=\"43734016\"] \n  1 -> 3 [size =\"43734016\"]\n  2 [size=\"49948672\", alpha=\"0.10\", expect_size=\"24974336\"] \n  2 -> 4 [size =\"24974336\"]\n  3 [size=\"52754432\", alpha=\"0.02\", expect_size=\"26377216\"] \n  3 -> 5 [size =\"26377216\"]\n  3 -> 7 [size =\"26377216\"]\n  4 [size=\"88514560\", alpha=\"0.08\", expect_size=\"44257280\"] \n  4 -> 5 [size =\"44257280\"]\n  4 -> 6 [size =\"44257280\"]\n  5 [size=\"52238336\", alpha=\"0.04\", expect_size=\"26119168\"] \n  5 -> 9 [size =\"26119168\"]\n  5 -> 10 [size =\"26119168\"]\n  6 [size=\"68548608\", alpha=\"0.02\", expect_size=\"34274304\"] \n  6 -> 8 [size =\"34274304\"]\n  6 -> 10 [size =\"34274304\"]\n  7 [size=\"35985408\", alpha=\"0.17\", expect_size=\"17992704\"] \n  7 -> 9 [size =\"17992704\"]\n  8 [size=\"95561728\", alpha=\"0.03\", expect_size=\"47780864\"] \n  9 [size=\"51283968\", alpha=\"0.02\", expect_size=\"25641984\"] \n  10 [size=\"68190208\", alpha=\"0.19\", expect_size=\"34095104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126691840\", alpha=\"0.18\", expect_size=\"50676736\"] \n  1 -> 2 [size =\"50676736\"]\n  2 [size=\"63336960\", alpha=\"0.06\", expect_size=\"25334784\"] \n  2 -> 3 [size =\"25334784\"]\n  3 [size=\"107522560\", alpha=\"0.12\", expect_size=\"43009024\"] \n  3 -> 4 [size =\"43009024\"]\n  4 [size=\"64168960\", alpha=\"0.14\", expect_size=\"25667584\"] \n  4 -> 5 [size =\"25667584\"]\n  5 [size=\"92003840\", alpha=\"0.06\", expect_size=\"36801536\"] \n  5 -> 6 [size =\"36801536\"]\n  6 [size=\"54627840\", alpha=\"0.11\", expect_size=\"21851136\"] \n  6 -> 7 [size =\"21851136\"]\n  7 [size=\"25832960\", alpha=\"0.06\", expect_size=\"10333184\"] \n  7 -> 8 [size =\"10333184\"]\n  8 [size=\"13355520\", alpha=\"0.15\", expect_size=\"5342208\"] \n  8 -> 9 [size =\"5342208\"]\n  9 [size=\"45094400\", alpha=\"0.18\", expect_size=\"18037760\"] \n  9 -> 10 [size =\"18037760\"]\n  10 [size=\"129973760\", alpha=\"0.13\", expect_size=\"51989504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78310400\", alpha=\"0.01\", expect_size=\"31324160\"] \n  1 -> 8 [size =\"31324160\"]\n  1 -> 9 [size =\"31324160\"]\n  2 [size=\"21831680\", alpha=\"0.12\", expect_size=\"8732672\"] \n  2 -> 10 [size =\"8732672\"]\n  3 [size=\"54464000\", alpha=\"0.10\", expect_size=\"21785600\"] \n  3 -> 9 [size =\"21785600\"]\n  4 [size=\"29240320\", alpha=\"0.01\", expect_size=\"11696128\"] \n  4 -> 9 [size =\"11696128\"]\n  5 [size=\"91156480\", alpha=\"0.13\", expect_size=\"36462592\"] \n  5 -> 8 [size =\"36462592\"]\n  5 -> 10 [size =\"36462592\"]\n  6 [size=\"59778560\", alpha=\"0.05\", expect_size=\"23911424\"] \n  6 -> 8 [size =\"23911424\"]\n  6 -> 9 [size =\"23911424\"]\n  6 -> 10 [size =\"23911424\"]\n  7 [size=\"59617280\", alpha=\"0.01\", expect_size=\"23846912\"] \n  8 [size=\"43921920\", alpha=\"0.06\", expect_size=\"17568768\"] \n  9 [size=\"60011520\", alpha=\"0.06\", expect_size=\"24004608\"] \n  10 [size=\"129123840\", alpha=\"0.18\", expect_size=\"51649536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13821440\", alpha=\"0.11\", expect_size=\"5528576\"] \n  1 -> 2 [size =\"5528576\"]\n  2 [size=\"29527040\", alpha=\"0.13\", expect_size=\"11810816\"] \n  2 -> 3 [size =\"11810816\"]\n  3 [size=\"76139520\", alpha=\"0.18\", expect_size=\"30455808\"] \n  3 -> 4 [size =\"30455808\"]\n  4 [size=\"82626560\", alpha=\"0.18\", expect_size=\"33050624\"] \n  4 -> 5 [size =\"33050624\"]\n  5 [size=\"71045120\", alpha=\"0.05\", expect_size=\"28418048\"] \n  5 -> 6 [size =\"28418048\"]\n  6 [size=\"46456320\", alpha=\"0.17\", expect_size=\"18582528\"] \n  6 -> 7 [size =\"18582528\"]\n  7 [size=\"71444480\", alpha=\"0.06\", expect_size=\"28577792\"] \n  7 -> 8 [size =\"28577792\"]\n  8 [size=\"110538240\", alpha=\"0.19\", expect_size=\"44215296\"] \n  8 -> 9 [size =\"44215296\"]\n  9 [size=\"116922880\", alpha=\"0.20\", expect_size=\"46769152\"] \n  9 -> 10 [size =\"46769152\"]\n  10 [size=\"18936320\", alpha=\"0.19\", expect_size=\"7574528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20944213\", alpha=\"0.17\", expect_size=\"6283264\"] \n  1 -> 2 [size =\"6283264\"]\n  2 [size=\"55118507\", alpha=\"0.01\", expect_size=\"16535552\"] \n  2 -> 3 [size =\"16535552\"]\n  3 [size=\"79377067\", alpha=\"0.15\", expect_size=\"23813120\"] \n  3 -> 4 [size =\"23813120\"]\n  4 [size=\"81701547\", alpha=\"0.00\", expect_size=\"24510464\"] \n  4 -> 5 [size =\"24510464\"]\n  5 [size=\"157661867\", alpha=\"0.04\", expect_size=\"47298560\"] \n  5 -> 6 [size =\"47298560\"]\n  6 [size=\"133044907\", alpha=\"0.05\", expect_size=\"39913472\"] \n  6 -> 7 [size =\"39913472\"]\n  7 [size=\"44489387\", alpha=\"0.01\", expect_size=\"13346816\"] \n  7 -> 8 [size =\"13346816\"]\n  8 [size=\"51804160\", alpha=\"0.06\", expect_size=\"15541248\"] \n  8 -> 9 [size =\"15541248\"]\n  9 [size=\"160682667\", alpha=\"0.15\", expect_size=\"48204800\"] \n  9 -> 10 [size =\"48204800\"]\n  10 [size=\"64552960\", alpha=\"0.06\", expect_size=\"19365888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102444373\", alpha=\"0.13\", expect_size=\"30733312\"] \n  1 -> 2 [size =\"30733312\"]\n  2 [size=\"71154347\", alpha=\"0.20\", expect_size=\"21346304\"] \n  2 -> 3 [size =\"21346304\"]\n  3 [size=\"57436160\", alpha=\"0.03\", expect_size=\"17230848\"] \n  3 -> 4 [size =\"17230848\"]\n  4 [size=\"131962880\", alpha=\"0.12\", expect_size=\"39588864\"] \n  4 -> 5 [size =\"39588864\"]\n  5 [size=\"141875200\", alpha=\"0.03\", expect_size=\"42562560\"] \n  5 -> 6 [size =\"42562560\"]\n  6 [size=\"46588587\", alpha=\"0.12\", expect_size=\"13976576\"] \n  6 -> 7 [size =\"13976576\"]\n  7 [size=\"150487040\", alpha=\"0.05\", expect_size=\"45146112\"] \n  7 -> 8 [size =\"45146112\"]\n  8 [size=\"112694613\", alpha=\"0.12\", expect_size=\"33808384\"] \n  8 -> 9 [size =\"33808384\"]\n  9 [size=\"164317867\", alpha=\"0.10\", expect_size=\"49295360\"] \n  9 -> 10 [size =\"49295360\"]\n  10 [size=\"102324907\", alpha=\"0.14\", expect_size=\"30697472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170956800\", alpha=\"0.00\", expect_size=\"51287040\"] \n  1 -> 8 [size =\"51287040\"]\n  1 -> 9 [size =\"51287040\"]\n  1 -> 10 [size =\"51287040\"]\n  2 [size=\"71396693\", alpha=\"0.19\", expect_size=\"21419008\"] \n  2 -> 8 [size =\"21419008\"]\n  2 -> 9 [size =\"21419008\"]\n  2 -> 10 [size =\"21419008\"]\n  3 [size=\"64232107\", alpha=\"0.01\", expect_size=\"19269632\"] \n  3 -> 8 [size =\"19269632\"]\n  3 -> 9 [size =\"19269632\"]\n  4 [size=\"164577280\", alpha=\"0.09\", expect_size=\"49373184\"] \n  4 -> 8 [size =\"49373184\"]\n  4 -> 9 [size =\"49373184\"]\n  4 -> 10 [size =\"49373184\"]\n  5 [size=\"111602347\", alpha=\"0.02\", expect_size=\"33480704\"] \n  5 -> 8 [size =\"33480704\"]\n  6 [size=\"98409813\", alpha=\"0.11\", expect_size=\"29522944\"] \n  6 -> 8 [size =\"29522944\"]\n  7 [size=\"92801707\", alpha=\"0.14\", expect_size=\"27840512\"] \n  7 -> 8 [size =\"27840512\"]\n  7 -> 9 [size =\"27840512\"]\n  8 [size=\"133403307\", alpha=\"0.03\", expect_size=\"40020992\"] \n  9 [size=\"109318827\", alpha=\"0.11\", expect_size=\"32795648\"] \n  10 [size=\"18097493\", alpha=\"0.10\", expect_size=\"5429248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26014720\", alpha=\"0.06\", expect_size=\"10405888\"] \n  1 -> 8 [size =\"10405888\"]\n  2 [size=\"19118080\", alpha=\"0.08\", expect_size=\"7647232\"] \n  2 -> 7 [size =\"7647232\"]\n  2 -> 8 [size =\"7647232\"]\n  3 [size=\"96458240\", alpha=\"0.15\", expect_size=\"38583296\"] \n  3 -> 5 [size =\"38583296\"]\n  3 -> 6 [size =\"38583296\"]\n  3 -> 7 [size =\"38583296\"]\n  3 -> 8 [size =\"38583296\"]\n  4 [size=\"40614400\", alpha=\"0.12\", expect_size=\"16245760\"] \n  4 -> 5 [size =\"16245760\"]\n  5 [size=\"110000640\", alpha=\"0.01\", expect_size=\"44000256\"] \n  5 -> 9 [size =\"44000256\"]\n  6 [size=\"62062080\", alpha=\"0.12\", expect_size=\"24824832\"] \n  7 [size=\"53309440\", alpha=\"0.10\", expect_size=\"21323776\"] \n  7 -> 10 [size =\"21323776\"]\n  8 [size=\"78446080\", alpha=\"0.10\", expect_size=\"31378432\"] \n  9 [size=\"59430400\", alpha=\"0.03\", expect_size=\"23772160\"] \n  10 [size=\"38801920\", alpha=\"0.09\", expect_size=\"15520768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103150080\", alpha=\"0.16\", expect_size=\"41260032\"] \n  2 [size=\"29870080\", alpha=\"0.08\", expect_size=\"11948032\"] \n  2 -> 5 [size =\"11948032\"]\n  3 [size=\"25310720\", alpha=\"0.11\", expect_size=\"10124288\"] \n  3 -> 4 [size =\"10124288\"]\n  4 [size=\"90956800\", alpha=\"0.05\", expect_size=\"36382720\"] \n  4 -> 7 [size =\"36382720\"]\n  5 [size=\"113820160\", alpha=\"0.06\", expect_size=\"45528064\"] \n  5 -> 6 [size =\"45528064\"]\n  5 -> 7 [size =\"45528064\"]\n  6 [size=\"38051840\", alpha=\"0.19\", expect_size=\"15220736\"] \n  7 [size=\"15864320\", alpha=\"0.11\", expect_size=\"6345728\"] \n  7 -> 8 [size =\"6345728\"]\n  7 -> 9 [size =\"6345728\"]\n  7 -> 10 [size =\"6345728\"]\n  8 [size=\"22561280\", alpha=\"0.16\", expect_size=\"9024512\"] \n  9 [size=\"63168000\", alpha=\"0.09\", expect_size=\"25267200\"] \n  10 [size=\"53143040\", alpha=\"0.13\", expect_size=\"21257216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22462464\", alpha=\"0.20\", expect_size=\"11231232\"] \n  1 -> 4 [size =\"11231232\"]\n  1 -> 5 [size =\"11231232\"]\n  1 -> 6 [size =\"11231232\"]\n  1 -> 7 [size =\"11231232\"]\n  2 [size=\"31893504\", alpha=\"0.01\", expect_size=\"15946752\"] \n  2 -> 4 [size =\"15946752\"]\n  2 -> 5 [size =\"15946752\"]\n  2 -> 7 [size =\"15946752\"]\n  3 [size=\"21438464\", alpha=\"0.07\", expect_size=\"10719232\"] \n  3 -> 5 [size =\"10719232\"]\n  3 -> 7 [size =\"10719232\"]\n  4 [size=\"81827840\", alpha=\"0.13\", expect_size=\"40913920\"] \n  4 -> 8 [size =\"40913920\"]\n  4 -> 9 [size =\"40913920\"]\n  5 [size=\"77299712\", alpha=\"0.04\", expect_size=\"38649856\"] \n  5 -> 8 [size =\"38649856\"]\n  6 [size=\"59977728\", alpha=\"0.11\", expect_size=\"29988864\"] \n  6 -> 8 [size =\"29988864\"]\n  7 [size=\"96948224\", alpha=\"0.19\", expect_size=\"48474112\"] \n  7 -> 8 [size =\"48474112\"]\n  8 [size=\"12695552\", alpha=\"0.13\", expect_size=\"6347776\"] \n  9 [size=\"66258944\", alpha=\"0.04\", expect_size=\"33129472\"] \n  9 -> 10 [size =\"33129472\"]\n  10 [size=\"31152128\", alpha=\"0.09\", expect_size=\"15576064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96617813\", alpha=\"0.18\", expect_size=\"28985344\"] \n  1 -> 4 [size =\"28985344\"]\n  2 [size=\"94839467\", alpha=\"0.16\", expect_size=\"28451840\"] \n  2 -> 4 [size =\"28451840\"]\n  2 -> 5 [size =\"28451840\"]\n  3 [size=\"82937173\", alpha=\"0.17\", expect_size=\"24881152\"] \n  3 -> 4 [size =\"24881152\"]\n  3 -> 5 [size =\"24881152\"]\n  4 [size=\"127320747\", alpha=\"0.01\", expect_size=\"38196224\"] \n  4 -> 7 [size =\"38196224\"]\n  4 -> 8 [size =\"38196224\"]\n  5 [size=\"79967573\", alpha=\"0.03\", expect_size=\"23990272\"] \n  5 -> 6 [size =\"23990272\"]\n  5 -> 7 [size =\"23990272\"]\n  5 -> 8 [size =\"23990272\"]\n  6 [size=\"145786880\", alpha=\"0.13\", expect_size=\"43736064\"] \n  6 -> 10 [size =\"43736064\"]\n  7 [size=\"120692053\", alpha=\"0.19\", expect_size=\"36207616\"] \n  7 -> 9 [size =\"36207616\"]\n  8 [size=\"70382933\", alpha=\"0.02\", expect_size=\"21114880\"] \n  8 -> 9 [size =\"21114880\"]\n  9 [size=\"99211947\", alpha=\"0.12\", expect_size=\"29763584\"] \n  10 [size=\"40741547\", alpha=\"0.08\", expect_size=\"12222464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59653120\", alpha=\"0.20\", expect_size=\"23861248\"] \n  2 [size=\"84661760\", alpha=\"0.06\", expect_size=\"33864704\"] \n  2 -> 9 [size =\"33864704\"]\n  2 -> 10 [size =\"33864704\"]\n  3 [size=\"100157440\", alpha=\"0.03\", expect_size=\"40062976\"] \n  3 -> 9 [size =\"40062976\"]\n  4 [size=\"98836480\", alpha=\"0.17\", expect_size=\"39534592\"] \n  4 -> 9 [size =\"39534592\"]\n  5 [size=\"75292160\", alpha=\"0.11\", expect_size=\"30116864\"] \n  5 -> 9 [size =\"30116864\"]\n  5 -> 10 [size =\"30116864\"]\n  6 [size=\"86727680\", alpha=\"0.07\", expect_size=\"34691072\"] \n  6 -> 9 [size =\"34691072\"]\n  7 [size=\"78305280\", alpha=\"0.16\", expect_size=\"31322112\"] \n  8 [size=\"95728640\", alpha=\"0.10\", expect_size=\"38291456\"] \n  8 -> 10 [size =\"38291456\"]\n  9 [size=\"43297280\", alpha=\"0.16\", expect_size=\"17318912\"] \n  10 [size=\"73034240\", alpha=\"0.13\", expect_size=\"29213696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104311467\", alpha=\"0.08\", expect_size=\"31293440\"] \n  1 -> 3 [size =\"31293440\"]\n  1 -> 4 [size =\"31293440\"]\n  2 [size=\"73130667\", alpha=\"0.13\", expect_size=\"21939200\"] \n  3 [size=\"26395307\", alpha=\"0.19\", expect_size=\"7918592\"] \n  3 -> 5 [size =\"7918592\"]\n  3 -> 6 [size =\"7918592\"]\n  4 [size=\"98952533\", alpha=\"0.19\", expect_size=\"29685760\"] \n  4 -> 6 [size =\"29685760\"]\n  5 [size=\"42963627\", alpha=\"0.14\", expect_size=\"12889088\"] \n  5 -> 9 [size =\"12889088\"]\n  6 [size=\"128972800\", alpha=\"0.05\", expect_size=\"38691840\"] \n  6 -> 7 [size =\"38691840\"]\n  6 -> 8 [size =\"38691840\"]\n  6 -> 9 [size =\"38691840\"]\n  7 [size=\"167915520\", alpha=\"0.09\", expect_size=\"50374656\"] \n  7 -> 10 [size =\"50374656\"]\n  8 [size=\"47670613\", alpha=\"0.09\", expect_size=\"14301184\"] \n  8 -> 10 [size =\"14301184\"]\n  9 [size=\"41895253\", alpha=\"0.11\", expect_size=\"12568576\"] \n  10 [size=\"60672000\", alpha=\"0.04\", expect_size=\"18201600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40546304\", alpha=\"0.20\", expect_size=\"20273152\"] \n  1 -> 5 [size =\"20273152\"]\n  2 [size=\"26576896\", alpha=\"0.19\", expect_size=\"13288448\"] \n  2 -> 4 [size =\"13288448\"]\n  2 -> 5 [size =\"13288448\"]\n  2 -> 7 [size =\"13288448\"]\n  3 [size=\"63727616\", alpha=\"0.18\", expect_size=\"31863808\"] \n  3 -> 6 [size =\"31863808\"]\n  4 [size=\"82106368\", alpha=\"0.10\", expect_size=\"41053184\"] \n  4 -> 8 [size =\"41053184\"]\n  5 [size=\"98478080\", alpha=\"0.04\", expect_size=\"49239040\"] \n  5 -> 10 [size =\"49239040\"]\n  6 [size=\"92076032\", alpha=\"0.07\", expect_size=\"46038016\"] \n  6 -> 8 [size =\"46038016\"]\n  6 -> 9 [size =\"46038016\"]\n  6 -> 10 [size =\"46038016\"]\n  7 [size=\"48558080\", alpha=\"0.04\", expect_size=\"24279040\"] \n  7 -> 8 [size =\"24279040\"]\n  7 -> 9 [size =\"24279040\"]\n  7 -> 10 [size =\"24279040\"]\n  8 [size=\"45733888\", alpha=\"0.02\", expect_size=\"22866944\"] \n  9 [size=\"93065216\", alpha=\"0.16\", expect_size=\"46532608\"] \n  10 [size=\"96323584\", alpha=\"0.15\", expect_size=\"48161792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122741760\", alpha=\"0.02\", expect_size=\"49096704\"] \n  1 -> 3 [size =\"49096704\"]\n  1 -> 4 [size =\"49096704\"]\n  2 [size=\"21178880\", alpha=\"0.14\", expect_size=\"8471552\"] \n  3 [size=\"95129600\", alpha=\"0.13\", expect_size=\"38051840\"] \n  3 -> 5 [size =\"38051840\"]\n  3 -> 6 [size =\"38051840\"]\n  3 -> 7 [size =\"38051840\"]\n  4 [size=\"68971520\", alpha=\"0.13\", expect_size=\"27588608\"] \n  4 -> 5 [size =\"27588608\"]\n  4 -> 7 [size =\"27588608\"]\n  5 [size=\"96394240\", alpha=\"0.16\", expect_size=\"38557696\"] \n  5 -> 8 [size =\"38557696\"]\n  6 [size=\"129029120\", alpha=\"0.11\", expect_size=\"51611648\"] \n  6 -> 9 [size =\"51611648\"]\n  7 [size=\"121914880\", alpha=\"0.17\", expect_size=\"48765952\"] \n  7 -> 8 [size =\"48765952\"]\n  8 [size=\"14179840\", alpha=\"0.17\", expect_size=\"5671936\"] \n  9 [size=\"117483520\", alpha=\"0.07\", expect_size=\"46993408\"] \n  9 -> 10 [size =\"46993408\"]\n  10 [size=\"31052800\", alpha=\"0.16\", expect_size=\"12421120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126822400\", alpha=\"0.02\", expect_size=\"50728960\"] \n  1 -> 4 [size =\"50728960\"]\n  2 [size=\"33548800\", alpha=\"0.08\", expect_size=\"13419520\"] \n  2 -> 3 [size =\"13419520\"]\n  2 -> 5 [size =\"13419520\"]\n  3 [size=\"96427520\", alpha=\"0.07\", expect_size=\"38571008\"] \n  3 -> 6 [size =\"38571008\"]\n  4 [size=\"44794880\", alpha=\"0.15\", expect_size=\"17917952\"] \n  4 -> 6 [size =\"17917952\"]\n  4 -> 7 [size =\"17917952\"]\n  4 -> 8 [size =\"17917952\"]\n  5 [size=\"15267840\", alpha=\"0.12\", expect_size=\"6107136\"] \n  5 -> 7 [size =\"6107136\"]\n  6 [size=\"29201920\", alpha=\"0.12\", expect_size=\"11680768\"] \n  6 -> 9 [size =\"11680768\"]\n  7 [size=\"123668480\", alpha=\"0.05\", expect_size=\"49467392\"] \n  7 -> 10 [size =\"49467392\"]\n  8 [size=\"49512960\", alpha=\"0.13\", expect_size=\"19805184\"] \n  9 [size=\"14000640\", alpha=\"0.17\", expect_size=\"5600256\"] \n  10 [size=\"38845440\", alpha=\"0.13\", expect_size=\"15538176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53063680\", alpha=\"0.03\", expect_size=\"15919104\"] \n  1 -> 2 [size =\"15919104\"]\n  2 [size=\"154835627\", alpha=\"0.13\", expect_size=\"46450688\"] \n  2 -> 3 [size =\"46450688\"]\n  3 [size=\"77687467\", alpha=\"0.00\", expect_size=\"23306240\"] \n  3 -> 4 [size =\"23306240\"]\n  4 [size=\"90071040\", alpha=\"0.14\", expect_size=\"27021312\"] \n  4 -> 5 [size =\"27021312\"]\n  5 [size=\"150302720\", alpha=\"0.15\", expect_size=\"45090816\"] \n  5 -> 6 [size =\"45090816\"]\n  6 [size=\"59791360\", alpha=\"0.10\", expect_size=\"17937408\"] \n  6 -> 7 [size =\"17937408\"]\n  7 [size=\"126730240\", alpha=\"0.11\", expect_size=\"38019072\"] \n  7 -> 8 [size =\"38019072\"]\n  8 [size=\"115329707\", alpha=\"0.20\", expect_size=\"34598912\"] \n  8 -> 9 [size =\"34598912\"]\n  9 [size=\"72973653\", alpha=\"0.06\", expect_size=\"21892096\"] \n  9 -> 10 [size =\"21892096\"]\n  10 [size=\"45714773\", alpha=\"0.02\", expect_size=\"13714432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13117440\", alpha=\"0.04\", expect_size=\"6558720\"] \n  1 -> 6 [size =\"6558720\"]\n  1 -> 7 [size =\"6558720\"]\n  1 -> 9 [size =\"6558720\"]\n  2 [size=\"34859008\", alpha=\"0.07\", expect_size=\"17429504\"] \n  2 -> 9 [size =\"17429504\"]\n  2 -> 10 [size =\"17429504\"]\n  3 [size=\"48801792\", alpha=\"0.15\", expect_size=\"24400896\"] \n  3 -> 6 [size =\"24400896\"]\n  3 -> 9 [size =\"24400896\"]\n  3 -> 10 [size =\"24400896\"]\n  4 [size=\"26726400\", alpha=\"0.10\", expect_size=\"13363200\"] \n  4 -> 6 [size =\"13363200\"]\n  4 -> 8 [size =\"13363200\"]\n  4 -> 9 [size =\"13363200\"]\n  5 [size=\"51013632\", alpha=\"0.15\", expect_size=\"25506816\"] \n  5 -> 6 [size =\"25506816\"]\n  6 [size=\"85874688\", alpha=\"0.16\", expect_size=\"42937344\"] \n  7 [size=\"97792000\", alpha=\"0.15\", expect_size=\"48896000\"] \n  8 [size=\"25450496\", alpha=\"0.05\", expect_size=\"12725248\"] \n  9 [size=\"36767744\", alpha=\"0.08\", expect_size=\"18383872\"] \n  10 [size=\"84111360\", alpha=\"0.01\", expect_size=\"42055680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44026880\", alpha=\"0.05\", expect_size=\"17610752\"] \n  1 -> 2 [size =\"17610752\"]\n  2 [size=\"22341120\", alpha=\"0.10\", expect_size=\"8936448\"] \n  2 -> 3 [size =\"8936448\"]\n  3 [size=\"25738240\", alpha=\"0.06\", expect_size=\"10295296\"] \n  3 -> 4 [size =\"10295296\"]\n  4 [size=\"25697280\", alpha=\"0.18\", expect_size=\"10278912\"] \n  4 -> 5 [size =\"10278912\"]\n  5 [size=\"31221760\", alpha=\"0.13\", expect_size=\"12488704\"] \n  5 -> 6 [size =\"12488704\"]\n  6 [size=\"34823680\", alpha=\"0.16\", expect_size=\"13929472\"] \n  6 -> 7 [size =\"13929472\"]\n  7 [size=\"79464960\", alpha=\"0.01\", expect_size=\"31785984\"] \n  7 -> 8 [size =\"31785984\"]\n  8 [size=\"122030080\", alpha=\"0.13\", expect_size=\"48812032\"] \n  8 -> 9 [size =\"48812032\"]\n  9 [size=\"64325120\", alpha=\"0.17\", expect_size=\"25730048\"] \n  9 -> 10 [size =\"25730048\"]\n  10 [size=\"37230080\", alpha=\"0.07\", expect_size=\"14892032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40832000\", alpha=\"0.09\", expect_size=\"16332800\"] \n  1 -> 9 [size =\"16332800\"]\n  1 -> 10 [size =\"16332800\"]\n  2 [size=\"88294400\", alpha=\"0.01\", expect_size=\"35317760\"] \n  2 -> 8 [size =\"35317760\"]\n  2 -> 10 [size =\"35317760\"]\n  3 [size=\"27599360\", alpha=\"0.16\", expect_size=\"11039744\"] \n  3 -> 8 [size =\"11039744\"]\n  4 [size=\"50083840\", alpha=\"0.04\", expect_size=\"20033536\"] \n  5 [size=\"117893120\", alpha=\"0.09\", expect_size=\"47157248\"] \n  6 [size=\"54005760\", alpha=\"0.09\", expect_size=\"21602304\"] \n  6 -> 10 [size =\"21602304\"]\n  7 [size=\"37094400\", alpha=\"0.01\", expect_size=\"14837760\"] \n  7 -> 8 [size =\"14837760\"]\n  8 [size=\"87349760\", alpha=\"0.03\", expect_size=\"34939904\"] \n  9 [size=\"25008640\", alpha=\"0.05\", expect_size=\"10003456\"] \n  10 [size=\"14906880\", alpha=\"0.16\", expect_size=\"5962752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71765333\", alpha=\"0.16\", expect_size=\"21529600\"] \n  2 [size=\"109482667\", alpha=\"0.03\", expect_size=\"32844800\"] \n  2 -> 8 [size =\"32844800\"]\n  3 [size=\"55408640\", alpha=\"0.16\", expect_size=\"16622592\"] \n  3 -> 8 [size =\"16622592\"]\n  3 -> 10 [size =\"16622592\"]\n  4 [size=\"40482133\", alpha=\"0.06\", expect_size=\"12144640\"] \n  4 -> 8 [size =\"12144640\"]\n  5 [size=\"156299947\", alpha=\"0.17\", expect_size=\"46889984\"] \n  6 [size=\"78646613\", alpha=\"0.05\", expect_size=\"23593984\"] \n  6 -> 10 [size =\"23593984\"]\n  7 [size=\"74871467\", alpha=\"0.10\", expect_size=\"22461440\"] \n  7 -> 9 [size =\"22461440\"]\n  8 [size=\"157815467\", alpha=\"0.13\", expect_size=\"47344640\"] \n  9 [size=\"24668160\", alpha=\"0.09\", expect_size=\"7400448\"] \n  10 [size=\"123463680\", alpha=\"0.05\", expect_size=\"37039104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123422720\", alpha=\"0.03\", expect_size=\"49369088\"] \n  1 -> 2 [size =\"49369088\"]\n  2 [size=\"48762880\", alpha=\"0.10\", expect_size=\"19505152\"] \n  2 -> 3 [size =\"19505152\"]\n  3 [size=\"43932160\", alpha=\"0.11\", expect_size=\"17572864\"] \n  3 -> 4 [size =\"17572864\"]\n  4 [size=\"29721600\", alpha=\"0.05\", expect_size=\"11888640\"] \n  4 -> 5 [size =\"11888640\"]\n  5 [size=\"79636480\", alpha=\"0.08\", expect_size=\"31854592\"] \n  5 -> 6 [size =\"31854592\"]\n  6 [size=\"107248640\", alpha=\"0.10\", expect_size=\"42899456\"] \n  6 -> 7 [size =\"42899456\"]\n  7 [size=\"96734720\", alpha=\"0.17\", expect_size=\"38693888\"] \n  7 -> 8 [size =\"38693888\"]\n  8 [size=\"78604800\", alpha=\"0.05\", expect_size=\"31441920\"] \n  8 -> 9 [size =\"31441920\"]\n  9 [size=\"13775360\", alpha=\"0.18\", expect_size=\"5510144\"] \n  9 -> 10 [size =\"5510144\"]\n  10 [size=\"85232640\", alpha=\"0.09\", expect_size=\"34093056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89296896\", alpha=\"0.14\", expect_size=\"44648448\"] \n  1 -> 2 [size =\"44648448\"]\n  2 [size=\"96172032\", alpha=\"0.06\", expect_size=\"48086016\"] \n  2 -> 3 [size =\"48086016\"]\n  3 [size=\"31164416\", alpha=\"0.09\", expect_size=\"15582208\"] \n  3 -> 4 [size =\"15582208\"]\n  4 [size=\"20318208\", alpha=\"0.06\", expect_size=\"10159104\"] \n  4 -> 5 [size =\"10159104\"]\n  5 [size=\"95574016\", alpha=\"0.11\", expect_size=\"47787008\"] \n  5 -> 6 [size =\"47787008\"]\n  6 [size=\"19613696\", alpha=\"0.10\", expect_size=\"9806848\"] \n  6 -> 7 [size =\"9806848\"]\n  7 [size=\"72878080\", alpha=\"0.16\", expect_size=\"36439040\"] \n  7 -> 8 [size =\"36439040\"]\n  8 [size=\"27473920\", alpha=\"0.05\", expect_size=\"13736960\"] \n  8 -> 9 [size =\"13736960\"]\n  9 [size=\"21884928\", alpha=\"0.05\", expect_size=\"10942464\"] \n  9 -> 10 [size =\"10942464\"]\n  10 [size=\"16943104\", alpha=\"0.13\", expect_size=\"8471552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161140053\", alpha=\"0.08\", expect_size=\"48342016\"] \n  1 -> 3 [size =\"48342016\"]\n  1 -> 4 [size =\"48342016\"]\n  2 [size=\"29777920\", alpha=\"0.17\", expect_size=\"8933376\"] \n  2 -> 3 [size =\"8933376\"]\n  3 [size=\"115384320\", alpha=\"0.12\", expect_size=\"34615296\"] \n  3 -> 5 [size =\"34615296\"]\n  4 [size=\"149254827\", alpha=\"0.09\", expect_size=\"44776448\"] \n  4 -> 5 [size =\"44776448\"]\n  4 -> 6 [size =\"44776448\"]\n  5 [size=\"171762347\", alpha=\"0.15\", expect_size=\"51528704\"] \n  5 -> 7 [size =\"51528704\"]\n  5 -> 8 [size =\"51528704\"]\n  6 [size=\"144305493\", alpha=\"0.04\", expect_size=\"43291648\"] \n  6 -> 7 [size =\"43291648\"]\n  6 -> 8 [size =\"43291648\"]\n  7 [size=\"116121600\", alpha=\"0.10\", expect_size=\"34836480\"] \n  7 -> 9 [size =\"34836480\"]\n  7 -> 10 [size =\"34836480\"]\n  8 [size=\"66775040\", alpha=\"0.10\", expect_size=\"20032512\"] \n  8 -> 9 [size =\"20032512\"]\n  8 -> 10 [size =\"20032512\"]\n  9 [size=\"106642773\", alpha=\"0.19\", expect_size=\"31992832\"] \n  10 [size=\"139298133\", alpha=\"0.04\", expect_size=\"41789440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58201600\", alpha=\"0.02\", expect_size=\"23280640\"] \n  1 -> 2 [size =\"23280640\"]\n  2 [size=\"37521920\", alpha=\"0.11\", expect_size=\"15008768\"] \n  2 -> 3 [size =\"15008768\"]\n  3 [size=\"106856960\", alpha=\"0.12\", expect_size=\"42742784\"] \n  3 -> 4 [size =\"42742784\"]\n  4 [size=\"78968320\", alpha=\"0.12\", expect_size=\"31587328\"] \n  4 -> 5 [size =\"31587328\"]\n  5 [size=\"83663360\", alpha=\"0.08\", expect_size=\"33465344\"] \n  5 -> 6 [size =\"33465344\"]\n  6 [size=\"65945600\", alpha=\"0.03\", expect_size=\"26378240\"] \n  6 -> 7 [size =\"26378240\"]\n  7 [size=\"35107840\", alpha=\"0.09\", expect_size=\"14043136\"] \n  7 -> 8 [size =\"14043136\"]\n  8 [size=\"54307840\", alpha=\"0.04\", expect_size=\"21723136\"] \n  8 -> 9 [size =\"21723136\"]\n  9 [size=\"96035840\", alpha=\"0.01\", expect_size=\"38414336\"] \n  9 -> 10 [size =\"38414336\"]\n  10 [size=\"49382400\", alpha=\"0.15\", expect_size=\"19752960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95672320\", alpha=\"0.08\", expect_size=\"47836160\"] \n  1 -> 2 [size =\"47836160\"]\n  2 [size=\"87175168\", alpha=\"0.19\", expect_size=\"43587584\"] \n  2 -> 3 [size =\"43587584\"]\n  3 [size=\"72859648\", alpha=\"0.10\", expect_size=\"36429824\"] \n  3 -> 4 [size =\"36429824\"]\n  4 [size=\"94107648\", alpha=\"0.04\", expect_size=\"47053824\"] \n  4 -> 5 [size =\"47053824\"]\n  5 [size=\"58540032\", alpha=\"0.07\", expect_size=\"29270016\"] \n  5 -> 6 [size =\"29270016\"]\n  6 [size=\"49522688\", alpha=\"0.01\", expect_size=\"24761344\"] \n  6 -> 7 [size =\"24761344\"]\n  7 [size=\"46413824\", alpha=\"0.04\", expect_size=\"23206912\"] \n  7 -> 8 [size =\"23206912\"]\n  8 [size=\"82452480\", alpha=\"0.01\", expect_size=\"41226240\"] \n  8 -> 9 [size =\"41226240\"]\n  9 [size=\"34959360\", alpha=\"0.07\", expect_size=\"17479680\"] \n  9 -> 10 [size =\"17479680\"]\n  10 [size=\"18903040\", alpha=\"0.13\", expect_size=\"9451520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104524800\", alpha=\"0.19\", expect_size=\"41809920\"] \n  2 [size=\"66214400\", alpha=\"0.09\", expect_size=\"26485760\"] \n  2 -> 9 [size =\"26485760\"]\n  3 [size=\"37414400\", alpha=\"0.08\", expect_size=\"14965760\"] \n  3 -> 9 [size =\"14965760\"]\n  4 [size=\"100784640\", alpha=\"0.19\", expect_size=\"40313856\"] \n  4 -> 9 [size =\"40313856\"]\n  5 [size=\"103272960\", alpha=\"0.14\", expect_size=\"41309184\"] \n  6 [size=\"50083840\", alpha=\"0.07\", expect_size=\"20033536\"] \n  7 [size=\"47605760\", alpha=\"0.02\", expect_size=\"19042304\"] \n  7 -> 10 [size =\"19042304\"]\n  8 [size=\"36815360\", alpha=\"0.17\", expect_size=\"14726144\"] \n  8 -> 9 [size =\"14726144\"]\n  8 -> 10 [size =\"14726144\"]\n  9 [size=\"43013120\", alpha=\"0.13\", expect_size=\"17205248\"] \n  10 [size=\"40296960\", alpha=\"0.12\", expect_size=\"16118784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129594880\", alpha=\"0.14\", expect_size=\"51837952\"] \n  1 -> 9 [size =\"51837952\"]\n  1 -> 10 [size =\"51837952\"]\n  2 [size=\"111710720\", alpha=\"0.03\", expect_size=\"44684288\"] \n  3 [size=\"122931200\", alpha=\"0.09\", expect_size=\"49172480\"] \n  3 -> 7 [size =\"49172480\"]\n  4 [size=\"59648000\", alpha=\"0.13\", expect_size=\"23859200\"] \n  4 -> 7 [size =\"23859200\"]\n  4 -> 10 [size =\"23859200\"]\n  5 [size=\"40867840\", alpha=\"0.09\", expect_size=\"16347136\"] \n  5 -> 7 [size =\"16347136\"]\n  5 -> 10 [size =\"16347136\"]\n  6 [size=\"57484800\", alpha=\"0.10\", expect_size=\"22993920\"] \n  6 -> 8 [size =\"22993920\"]\n  6 -> 9 [size =\"22993920\"]\n  7 [size=\"23590400\", alpha=\"0.18\", expect_size=\"9436160\"] \n  8 [size=\"94976000\", alpha=\"0.15\", expect_size=\"37990400\"] \n  9 [size=\"84241920\", alpha=\"0.00\", expect_size=\"33696768\"] \n  10 [size=\"130900480\", alpha=\"0.08\", expect_size=\"52360192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70563840\", alpha=\"0.20\", expect_size=\"28225536\"] \n  1 -> 2 [size =\"28225536\"]\n  2 [size=\"104829440\", alpha=\"0.12\", expect_size=\"41931776\"] \n  2 -> 3 [size =\"41931776\"]\n  3 [size=\"106780160\", alpha=\"0.15\", expect_size=\"42712064\"] \n  3 -> 4 [size =\"42712064\"]\n  4 [size=\"112325120\", alpha=\"0.19\", expect_size=\"44930048\"] \n  4 -> 5 [size =\"44930048\"]\n  5 [size=\"52344320\", alpha=\"0.19\", expect_size=\"20937728\"] \n  5 -> 6 [size =\"20937728\"]\n  6 [size=\"98636800\", alpha=\"0.16\", expect_size=\"39454720\"] \n  6 -> 7 [size =\"39454720\"]\n  7 [size=\"37939200\", alpha=\"0.04\", expect_size=\"15175680\"] \n  7 -> 8 [size =\"15175680\"]\n  8 [size=\"109463040\", alpha=\"0.16\", expect_size=\"43785216\"] \n  8 -> 9 [size =\"43785216\"]\n  9 [size=\"35921920\", alpha=\"0.12\", expect_size=\"14368768\"] \n  9 -> 10 [size =\"14368768\"]\n  10 [size=\"104071680\", alpha=\"0.03\", expect_size=\"41628672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82046976\", alpha=\"0.05\", expect_size=\"41023488\"] \n  1 -> 2 [size =\"41023488\"]\n  2 [size=\"79824896\", alpha=\"0.09\", expect_size=\"39912448\"] \n  2 -> 3 [size =\"39912448\"]\n  3 [size=\"94332928\", alpha=\"0.03\", expect_size=\"47166464\"] \n  3 -> 4 [size =\"47166464\"]\n  4 [size=\"46759936\", alpha=\"0.09\", expect_size=\"23379968\"] \n  4 -> 5 [size =\"23379968\"]\n  5 [size=\"60127232\", alpha=\"0.18\", expect_size=\"30063616\"] \n  5 -> 6 [size =\"30063616\"]\n  6 [size=\"73101312\", alpha=\"0.16\", expect_size=\"36550656\"] \n  6 -> 7 [size =\"36550656\"]\n  7 [size=\"88139776\", alpha=\"0.10\", expect_size=\"44069888\"] \n  7 -> 8 [size =\"44069888\"]\n  8 [size=\"101771264\", alpha=\"0.01\", expect_size=\"50885632\"] \n  8 -> 9 [size =\"50885632\"]\n  9 [size=\"39839744\", alpha=\"0.01\", expect_size=\"19919872\"] \n  9 -> 10 [size =\"19919872\"]\n  10 [size=\"10692608\", alpha=\"0.13\", expect_size=\"5346304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31154176\", alpha=\"0.02\", expect_size=\"15577088\"] \n  1 -> 8 [size =\"15577088\"]\n  2 [size=\"31506432\", alpha=\"0.00\", expect_size=\"15753216\"] \n  3 [size=\"38668288\", alpha=\"0.08\", expect_size=\"19334144\"] \n  3 -> 10 [size =\"19334144\"]\n  4 [size=\"11890688\", alpha=\"0.12\", expect_size=\"5945344\"] \n  4 -> 9 [size =\"5945344\"]\n  4 -> 10 [size =\"5945344\"]\n  5 [size=\"91066368\", alpha=\"0.10\", expect_size=\"45533184\"] \n  5 -> 9 [size =\"45533184\"]\n  6 [size=\"87119872\", alpha=\"0.13\", expect_size=\"43559936\"] \n  6 -> 9 [size =\"43559936\"]\n  6 -> 10 [size =\"43559936\"]\n  7 [size=\"11206656\", alpha=\"0.20\", expect_size=\"5603328\"] \n  8 [size=\"72519680\", alpha=\"0.06\", expect_size=\"36259840\"] \n  9 [size=\"103536640\", alpha=\"0.08\", expect_size=\"51768320\"] \n  10 [size=\"83795968\", alpha=\"0.03\", expect_size=\"41897984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109442560\", alpha=\"0.09\", expect_size=\"43777024\"] \n  1 -> 8 [size =\"43777024\"]\n  1 -> 10 [size =\"43777024\"]\n  2 [size=\"90426880\", alpha=\"0.12\", expect_size=\"36170752\"] \n  2 -> 7 [size =\"36170752\"]\n  2 -> 8 [size =\"36170752\"]\n  2 -> 10 [size =\"36170752\"]\n  3 [size=\"60193280\", alpha=\"0.19\", expect_size=\"24077312\"] \n  3 -> 8 [size =\"24077312\"]\n  3 -> 9 [size =\"24077312\"]\n  3 -> 10 [size =\"24077312\"]\n  4 [size=\"110597120\", alpha=\"0.14\", expect_size=\"44238848\"] \n  4 -> 7 [size =\"44238848\"]\n  4 -> 8 [size =\"44238848\"]\n  4 -> 9 [size =\"44238848\"]\n  4 -> 10 [size =\"44238848\"]\n  5 [size=\"110156800\", alpha=\"0.17\", expect_size=\"44062720\"] \n  5 -> 8 [size =\"44062720\"]\n  5 -> 9 [size =\"44062720\"]\n  5 -> 10 [size =\"44062720\"]\n  6 [size=\"51289600\", alpha=\"0.09\", expect_size=\"20515840\"] \n  6 -> 7 [size =\"20515840\"]\n  6 -> 9 [size =\"20515840\"]\n  6 -> 10 [size =\"20515840\"]\n  7 [size=\"28733440\", alpha=\"0.17\", expect_size=\"11493376\"] \n  8 [size=\"57469440\", alpha=\"0.15\", expect_size=\"22987776\"] \n  9 [size=\"116643840\", alpha=\"0.01\", expect_size=\"46657536\"] \n  10 [size=\"115909120\", alpha=\"0.10\", expect_size=\"46363648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24660480\", alpha=\"0.03\", expect_size=\"9864192\"] \n  1 -> 3 [size =\"9864192\"]\n  1 -> 4 [size =\"9864192\"]\n  2 [size=\"33241600\", alpha=\"0.09\", expect_size=\"13296640\"] \n  3 [size=\"110894080\", alpha=\"0.18\", expect_size=\"44357632\"] \n  3 -> 5 [size =\"44357632\"]\n  3 -> 6 [size =\"44357632\"]\n  3 -> 7 [size =\"44357632\"]\n  4 [size=\"127065600\", alpha=\"0.02\", expect_size=\"50826240\"] \n  4 -> 5 [size =\"50826240\"]\n  5 [size=\"22205440\", alpha=\"0.19\", expect_size=\"8882176\"] \n  5 -> 8 [size =\"8882176\"]\n  6 [size=\"111654400\", alpha=\"0.19\", expect_size=\"44661760\"] \n  7 [size=\"68485120\", alpha=\"0.05\", expect_size=\"27394048\"] \n  7 -> 8 [size =\"27394048\"]\n  7 -> 9 [size =\"27394048\"]\n  8 [size=\"48266240\", alpha=\"0.18\", expect_size=\"19306496\"] \n  9 [size=\"73280000\", alpha=\"0.19\", expect_size=\"29312000\"] \n  9 -> 10 [size =\"29312000\"]\n  10 [size=\"117109760\", alpha=\"0.01\", expect_size=\"46843904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63523840\", alpha=\"0.06\", expect_size=\"25409536\"] \n  2 [size=\"84311040\", alpha=\"0.14\", expect_size=\"33724416\"] \n  2 -> 8 [size =\"33724416\"]\n  3 [size=\"15219200\", alpha=\"0.19\", expect_size=\"6087680\"] \n  3 -> 9 [size =\"6087680\"]\n  3 -> 10 [size =\"6087680\"]\n  4 [size=\"31920640\", alpha=\"0.06\", expect_size=\"12768256\"] \n  4 -> 9 [size =\"12768256\"]\n  4 -> 10 [size =\"12768256\"]\n  5 [size=\"109468160\", alpha=\"0.14\", expect_size=\"43787264\"] \n  5 -> 8 [size =\"43787264\"]\n  5 -> 9 [size =\"43787264\"]\n  6 [size=\"115164160\", alpha=\"0.16\", expect_size=\"46065664\"] \n  6 -> 9 [size =\"46065664\"]\n  6 -> 10 [size =\"46065664\"]\n  7 [size=\"106580480\", alpha=\"0.16\", expect_size=\"42632192\"] \n  7 -> 9 [size =\"42632192\"]\n  7 -> 10 [size =\"42632192\"]\n  8 [size=\"29166080\", alpha=\"0.14\", expect_size=\"11666432\"] \n  9 [size=\"109608960\", alpha=\"0.15\", expect_size=\"43843584\"] \n  10 [size=\"15869440\", alpha=\"0.08\", expect_size=\"6347776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91211093\", alpha=\"0.09\", expect_size=\"27363328\"] \n  1 -> 2 [size =\"27363328\"]\n  2 [size=\"161703253\", alpha=\"0.01\", expect_size=\"48510976\"] \n  2 -> 3 [size =\"48510976\"]\n  3 [size=\"104840533\", alpha=\"0.02\", expect_size=\"31452160\"] \n  3 -> 4 [size =\"31452160\"]\n  4 [size=\"111083520\", alpha=\"0.09\", expect_size=\"33325056\"] \n  4 -> 5 [size =\"33325056\"]\n  5 [size=\"124016640\", alpha=\"0.13\", expect_size=\"37204992\"] \n  5 -> 6 [size =\"37204992\"]\n  6 [size=\"123163307\", alpha=\"0.16\", expect_size=\"36948992\"] \n  6 -> 7 [size =\"36948992\"]\n  7 [size=\"85517653\", alpha=\"0.03\", expect_size=\"25655296\"] \n  7 -> 8 [size =\"25655296\"]\n  8 [size=\"67153920\", alpha=\"0.14\", expect_size=\"20146176\"] \n  8 -> 9 [size =\"20146176\"]\n  9 [size=\"20217173\", alpha=\"0.14\", expect_size=\"6065152\"] \n  9 -> 10 [size =\"6065152\"]\n  10 [size=\"18513920\", alpha=\"0.07\", expect_size=\"5554176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128990720\", alpha=\"0.05\", expect_size=\"51596288\"] \n  1 -> 2 [size =\"51596288\"]\n  2 [size=\"73776640\", alpha=\"0.09\", expect_size=\"29510656\"] \n  2 -> 3 [size =\"29510656\"]\n  3 [size=\"61644800\", alpha=\"0.19\", expect_size=\"24657920\"] \n  3 -> 4 [size =\"24657920\"]\n  4 [size=\"120512000\", alpha=\"0.11\", expect_size=\"48204800\"] \n  4 -> 5 [size =\"48204800\"]\n  5 [size=\"21752320\", alpha=\"0.02\", expect_size=\"8700928\"] \n  5 -> 6 [size =\"8700928\"]\n  6 [size=\"27169280\", alpha=\"0.03\", expect_size=\"10867712\"] \n  6 -> 7 [size =\"10867712\"]\n  7 [size=\"84392960\", alpha=\"0.07\", expect_size=\"33757184\"] \n  7 -> 8 [size =\"33757184\"]\n  8 [size=\"95895040\", alpha=\"0.10\", expect_size=\"38358016\"] \n  8 -> 9 [size =\"38358016\"]\n  9 [size=\"17891840\", alpha=\"0.19\", expect_size=\"7156736\"] \n  9 -> 10 [size =\"7156736\"]\n  10 [size=\"42370560\", alpha=\"0.14\", expect_size=\"16948224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14046720\", alpha=\"0.01\", expect_size=\"5618688\"] \n  1 -> 2 [size =\"5618688\"]\n  2 [size=\"86891520\", alpha=\"0.07\", expect_size=\"34756608\"] \n  2 -> 3 [size =\"34756608\"]\n  3 [size=\"105525760\", alpha=\"0.17\", expect_size=\"42210304\"] \n  3 -> 4 [size =\"42210304\"]\n  4 [size=\"41930240\", alpha=\"0.03\", expect_size=\"16772096\"] \n  4 -> 5 [size =\"16772096\"]\n  5 [size=\"129981440\", alpha=\"0.12\", expect_size=\"51992576\"] \n  5 -> 6 [size =\"51992576\"]\n  6 [size=\"23925760\", alpha=\"0.02\", expect_size=\"9570304\"] \n  6 -> 7 [size =\"9570304\"]\n  7 [size=\"49182720\", alpha=\"0.12\", expect_size=\"19673088\"] \n  7 -> 8 [size =\"19673088\"]\n  8 [size=\"86622720\", alpha=\"0.07\", expect_size=\"34649088\"] \n  8 -> 9 [size =\"34649088\"]\n  9 [size=\"25620480\", alpha=\"0.16\", expect_size=\"10248192\"] \n  9 -> 10 [size =\"10248192\"]\n  10 [size=\"76871680\", alpha=\"0.03\", expect_size=\"30748672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53831680\", alpha=\"0.16\", expect_size=\"21532672\"] \n  1 -> 9 [size =\"21532672\"]\n  1 -> 10 [size =\"21532672\"]\n  2 [size=\"115287040\", alpha=\"0.11\", expect_size=\"46114816\"] \n  2 -> 9 [size =\"46114816\"]\n  2 -> 10 [size =\"46114816\"]\n  3 [size=\"126005760\", alpha=\"0.11\", expect_size=\"50402304\"] \n  3 -> 9 [size =\"50402304\"]\n  4 [size=\"125058560\", alpha=\"0.05\", expect_size=\"50023424\"] \n  5 [size=\"100761600\", alpha=\"0.13\", expect_size=\"40304640\"] \n  6 [size=\"127710720\", alpha=\"0.11\", expect_size=\"51084288\"] \n  7 [size=\"55836160\", alpha=\"0.08\", expect_size=\"22334464\"] \n  7 -> 8 [size =\"22334464\"]\n  7 -> 10 [size =\"22334464\"]\n  8 [size=\"24261120\", alpha=\"0.01\", expect_size=\"9704448\"] \n  9 [size=\"70200320\", alpha=\"0.10\", expect_size=\"28080128\"] \n  10 [size=\"74452480\", alpha=\"0.00\", expect_size=\"29780992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125440000\", alpha=\"0.03\", expect_size=\"50176000\"] \n  1 -> 9 [size =\"50176000\"]\n  2 [size=\"108648960\", alpha=\"0.13\", expect_size=\"43459584\"] \n  3 [size=\"21429760\", alpha=\"0.11\", expect_size=\"8571904\"] \n  4 [size=\"104627200\", alpha=\"0.17\", expect_size=\"41850880\"] \n  4 -> 9 [size =\"41850880\"]\n  4 -> 10 [size =\"41850880\"]\n  5 [size=\"40222720\", alpha=\"0.00\", expect_size=\"16089088\"] \n  6 [size=\"72593920\", alpha=\"0.18\", expect_size=\"29037568\"] \n  7 [size=\"14512640\", alpha=\"0.06\", expect_size=\"5805056\"] \n  7 -> 9 [size =\"5805056\"]\n  8 [size=\"112509440\", alpha=\"0.00\", expect_size=\"45003776\"] \n  8 -> 9 [size =\"45003776\"]\n  9 [size=\"61509120\", alpha=\"0.14\", expect_size=\"24603648\"] \n  10 [size=\"31459840\", alpha=\"0.09\", expect_size=\"12583936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16929280\", alpha=\"0.12\", expect_size=\"6771712\"] \n  1 -> 3 [size =\"6771712\"]\n  1 -> 4 [size =\"6771712\"]\n  2 [size=\"99520000\", alpha=\"0.00\", expect_size=\"39808000\"] \n  3 [size=\"80002560\", alpha=\"0.20\", expect_size=\"32001024\"] \n  4 [size=\"64916480\", alpha=\"0.03\", expect_size=\"25966592\"] \n  4 -> 5 [size =\"25966592\"]\n  4 -> 6 [size =\"25966592\"]\n  4 -> 7 [size =\"25966592\"]\n  5 [size=\"57592320\", alpha=\"0.01\", expect_size=\"23036928\"] \n  5 -> 8 [size =\"23036928\"]\n  5 -> 9 [size =\"23036928\"]\n  6 [size=\"39124480\", alpha=\"0.00\", expect_size=\"15649792\"] \n  6 -> 8 [size =\"15649792\"]\n  6 -> 10 [size =\"15649792\"]\n  7 [size=\"38374400\", alpha=\"0.09\", expect_size=\"15349760\"] \n  8 [size=\"69219840\", alpha=\"0.15\", expect_size=\"27687936\"] \n  9 [size=\"56855040\", alpha=\"0.16\", expect_size=\"22742016\"] \n  10 [size=\"112238080\", alpha=\"0.08\", expect_size=\"44895232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42465280\", alpha=\"0.08\", expect_size=\"12739584\"] \n  1 -> 10 [size =\"12739584\"]\n  2 [size=\"125757440\", alpha=\"0.06\", expect_size=\"37727232\"] \n  3 [size=\"62586880\", alpha=\"0.02\", expect_size=\"18776064\"] \n  3 -> 6 [size =\"18776064\"]\n  3 -> 7 [size =\"18776064\"]\n  3 -> 8 [size =\"18776064\"]\n  3 -> 9 [size =\"18776064\"]\n  4 [size=\"161645227\", alpha=\"0.11\", expect_size=\"48493568\"] \n  4 -> 6 [size =\"48493568\"]\n  4 -> 8 [size =\"48493568\"]\n  4 -> 9 [size =\"48493568\"]\n  5 [size=\"47073280\", alpha=\"0.15\", expect_size=\"14121984\"] \n  5 -> 6 [size =\"14121984\"]\n  5 -> 8 [size =\"14121984\"]\n  5 -> 9 [size =\"14121984\"]\n  6 [size=\"104260267\", alpha=\"0.11\", expect_size=\"31278080\"] \n  7 [size=\"63092053\", alpha=\"0.12\", expect_size=\"18927616\"] \n  8 [size=\"66822827\", alpha=\"0.08\", expect_size=\"20046848\"] \n  9 [size=\"132860587\", alpha=\"0.11\", expect_size=\"39858176\"] \n  10 [size=\"157835947\", alpha=\"0.14\", expect_size=\"47350784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20117504\", alpha=\"0.02\", expect_size=\"10058752\"] \n  1 -> 2 [size =\"10058752\"]\n  2 [size=\"71131136\", alpha=\"0.19\", expect_size=\"35565568\"] \n  2 -> 3 [size =\"35565568\"]\n  3 [size=\"67010560\", alpha=\"0.06\", expect_size=\"33505280\"] \n  3 -> 4 [size =\"33505280\"]\n  4 [size=\"91854848\", alpha=\"0.14\", expect_size=\"45927424\"] \n  4 -> 5 [size =\"45927424\"]\n  5 [size=\"59408384\", alpha=\"0.17\", expect_size=\"29704192\"] \n  5 -> 6 [size =\"29704192\"]\n  6 [size=\"93927424\", alpha=\"0.01\", expect_size=\"46963712\"] \n  6 -> 7 [size =\"46963712\"]\n  7 [size=\"79398912\", alpha=\"0.06\", expect_size=\"39699456\"] \n  7 -> 8 [size =\"39699456\"]\n  8 [size=\"70006784\", alpha=\"0.01\", expect_size=\"35003392\"] \n  8 -> 9 [size =\"35003392\"]\n  9 [size=\"87275520\", alpha=\"0.14\", expect_size=\"43637760\"] \n  9 -> 10 [size =\"43637760\"]\n  10 [size=\"44179456\", alpha=\"0.02\", expect_size=\"22089728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146220373\", alpha=\"0.01\", expect_size=\"43866112\"] \n  1 -> 6 [size =\"43866112\"]\n  1 -> 9 [size =\"43866112\"]\n  2 [size=\"136987307\", alpha=\"0.00\", expect_size=\"41096192\"] \n  2 -> 7 [size =\"41096192\"]\n  2 -> 9 [size =\"41096192\"]\n  3 [size=\"98713600\", alpha=\"0.11\", expect_size=\"29614080\"] \n  3 -> 6 [size =\"29614080\"]\n  3 -> 8 [size =\"29614080\"]\n  4 [size=\"76107093\", alpha=\"0.03\", expect_size=\"22832128\"] \n  4 -> 9 [size =\"22832128\"]\n  5 [size=\"155323733\", alpha=\"0.12\", expect_size=\"46597120\"] \n  5 -> 6 [size =\"46597120\"]\n  5 -> 7 [size =\"46597120\"]\n  6 [size=\"43902293\", alpha=\"0.11\", expect_size=\"13170688\"] \n  6 -> 10 [size =\"13170688\"]\n  7 [size=\"65945600\", alpha=\"0.16\", expect_size=\"19783680\"] \n  8 [size=\"66826240\", alpha=\"0.11\", expect_size=\"20047872\"] \n  8 -> 10 [size =\"20047872\"]\n  9 [size=\"159522133\", alpha=\"0.13\", expect_size=\"47856640\"] \n  9 -> 10 [size =\"47856640\"]\n  10 [size=\"172438187\", alpha=\"0.18\", expect_size=\"51731456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54808576\", alpha=\"0.05\", expect_size=\"27404288\"] \n  1 -> 2 [size =\"27404288\"]\n  2 [size=\"11014144\", alpha=\"0.17\", expect_size=\"5507072\"] \n  2 -> 3 [size =\"5507072\"]\n  3 [size=\"56119296\", alpha=\"0.06\", expect_size=\"28059648\"] \n  3 -> 4 [size =\"28059648\"]\n  4 [size=\"84432896\", alpha=\"0.10\", expect_size=\"42216448\"] \n  4 -> 5 [size =\"42216448\"]\n  5 [size=\"45412352\", alpha=\"0.07\", expect_size=\"22706176\"] \n  5 -> 6 [size =\"22706176\"]\n  6 [size=\"30257152\", alpha=\"0.05\", expect_size=\"15128576\"] \n  6 -> 7 [size =\"15128576\"]\n  7 [size=\"64509952\", alpha=\"0.06\", expect_size=\"32254976\"] \n  7 -> 8 [size =\"32254976\"]\n  8 [size=\"90818560\", alpha=\"0.18\", expect_size=\"45409280\"] \n  8 -> 9 [size =\"45409280\"]\n  9 [size=\"18108416\", alpha=\"0.09\", expect_size=\"9054208\"] \n  9 -> 10 [size =\"9054208\"]\n  10 [size=\"69838848\", alpha=\"0.14\", expect_size=\"34919424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117729280\", alpha=\"0.14\", expect_size=\"35318784\"] \n  1 -> 2 [size =\"35318784\"]\n  2 [size=\"150708907\", alpha=\"0.06\", expect_size=\"45212672\"] \n  2 -> 3 [size =\"45212672\"]\n  3 [size=\"68225707\", alpha=\"0.01\", expect_size=\"20467712\"] \n  3 -> 4 [size =\"20467712\"]\n  4 [size=\"97187840\", alpha=\"0.09\", expect_size=\"29156352\"] \n  4 -> 5 [size =\"29156352\"]\n  5 [size=\"147524267\", alpha=\"0.06\", expect_size=\"44257280\"] \n  5 -> 6 [size =\"44257280\"]\n  6 [size=\"143076693\", alpha=\"0.06\", expect_size=\"42923008\"] \n  6 -> 7 [size =\"42923008\"]\n  7 [size=\"32795307\", alpha=\"0.05\", expect_size=\"9838592\"] \n  7 -> 8 [size =\"9838592\"]\n  8 [size=\"163925333\", alpha=\"0.14\", expect_size=\"49177600\"] \n  8 -> 9 [size =\"49177600\"]\n  9 [size=\"158109013\", alpha=\"0.04\", expect_size=\"47432704\"] \n  9 -> 10 [size =\"47432704\"]\n  10 [size=\"156037120\", alpha=\"0.07\", expect_size=\"46811136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25407488\", alpha=\"0.20\", expect_size=\"12703744\"] \n  1 -> 2 [size =\"12703744\"]\n  2 [size=\"53159936\", alpha=\"0.14\", expect_size=\"26579968\"] \n  2 -> 3 [size =\"26579968\"]\n  3 [size=\"28145664\", alpha=\"0.19\", expect_size=\"14072832\"] \n  3 -> 4 [size =\"14072832\"]\n  4 [size=\"41750528\", alpha=\"0.01\", expect_size=\"20875264\"] \n  4 -> 5 [size =\"20875264\"]\n  5 [size=\"32442368\", alpha=\"0.15\", expect_size=\"16221184\"] \n  5 -> 6 [size =\"16221184\"]\n  6 [size=\"81879040\", alpha=\"0.04\", expect_size=\"40939520\"] \n  6 -> 7 [size =\"40939520\"]\n  7 [size=\"36978688\", alpha=\"0.09\", expect_size=\"18489344\"] \n  7 -> 8 [size =\"18489344\"]\n  8 [size=\"41611264\", alpha=\"0.11\", expect_size=\"20805632\"] \n  8 -> 9 [size =\"20805632\"]\n  9 [size=\"51197952\", alpha=\"0.10\", expect_size=\"25598976\"] \n  9 -> 10 [size =\"25598976\"]\n  10 [size=\"23545856\", alpha=\"0.15\", expect_size=\"11772928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45656747\", alpha=\"0.06\", expect_size=\"13697024\"] \n  1 -> 2 [size =\"13697024\"]\n  2 [size=\"26702507\", alpha=\"0.03\", expect_size=\"8010752\"] \n  2 -> 3 [size =\"8010752\"]\n  3 [size=\"26019840\", alpha=\"0.17\", expect_size=\"7805952\"] \n  3 -> 4 [size =\"7805952\"]\n  4 [size=\"121330347\", alpha=\"0.13\", expect_size=\"36399104\"] \n  4 -> 5 [size =\"36399104\"]\n  5 [size=\"118971733\", alpha=\"0.04\", expect_size=\"35691520\"] \n  5 -> 6 [size =\"35691520\"]\n  6 [size=\"131386027\", alpha=\"0.12\", expect_size=\"39415808\"] \n  6 -> 7 [size =\"39415808\"]\n  7 [size=\"92569600\", alpha=\"0.04\", expect_size=\"27770880\"] \n  7 -> 8 [size =\"27770880\"]\n  8 [size=\"56221013\", alpha=\"0.08\", expect_size=\"16866304\"] \n  8 -> 9 [size =\"16866304\"]\n  9 [size=\"173479253\", alpha=\"0.16\", expect_size=\"52043776\"] \n  9 -> 10 [size =\"52043776\"]\n  10 [size=\"163010560\", alpha=\"0.13\", expect_size=\"48903168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77305173\", alpha=\"0.17\", expect_size=\"23191552\"] \n  1 -> 7 [size =\"23191552\"]\n  1 -> 8 [size =\"23191552\"]\n  1 -> 9 [size =\"23191552\"]\n  2 [size=\"40908800\", alpha=\"0.19\", expect_size=\"12272640\"] \n  3 [size=\"126774613\", alpha=\"0.07\", expect_size=\"38032384\"] \n  3 -> 6 [size =\"38032384\"]\n  3 -> 7 [size =\"38032384\"]\n  3 -> 8 [size =\"38032384\"]\n  4 [size=\"30737067\", alpha=\"0.12\", expect_size=\"9221120\"] \n  4 -> 8 [size =\"9221120\"]\n  5 [size=\"26071040\", alpha=\"0.04\", expect_size=\"7821312\"] \n  5 -> 7 [size =\"7821312\"]\n  5 -> 8 [size =\"7821312\"]\n  6 [size=\"51346773\", alpha=\"0.13\", expect_size=\"15404032\"] \n  7 [size=\"55862613\", alpha=\"0.15\", expect_size=\"16758784\"] \n  7 -> 10 [size =\"16758784\"]\n  8 [size=\"41557333\", alpha=\"0.15\", expect_size=\"12467200\"] \n  8 -> 10 [size =\"12467200\"]\n  9 [size=\"91439787\", alpha=\"0.13\", expect_size=\"27431936\"] \n  10 [size=\"161747627\", alpha=\"0.14\", expect_size=\"48524288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119516160\", alpha=\"0.10\", expect_size=\"47806464\"] \n  1 -> 8 [size =\"47806464\"]\n  1 -> 9 [size =\"47806464\"]\n  1 -> 10 [size =\"47806464\"]\n  2 [size=\"105973760\", alpha=\"0.19\", expect_size=\"42389504\"] \n  2 -> 9 [size =\"42389504\"]\n  3 [size=\"21649920\", alpha=\"0.14\", expect_size=\"8659968\"] \n  3 -> 8 [size =\"8659968\"]\n  3 -> 9 [size =\"8659968\"]\n  3 -> 10 [size =\"8659968\"]\n  4 [size=\"94929920\", alpha=\"0.05\", expect_size=\"37971968\"] \n  5 [size=\"22919680\", alpha=\"0.06\", expect_size=\"9167872\"] \n  5 -> 7 [size =\"9167872\"]\n  5 -> 8 [size =\"9167872\"]\n  6 [size=\"103523840\", alpha=\"0.16\", expect_size=\"41409536\"] \n  6 -> 8 [size =\"41409536\"]\n  6 -> 8 [size =\"41409536\"]\n  6 -> 9 [size =\"41409536\"]\n  6 -> 10 [size =\"41409536\"]\n  7 [size=\"109946880\", alpha=\"0.09\", expect_size=\"43978752\"] \n  8 [size=\"75701760\", alpha=\"0.13\", expect_size=\"30280704\"] \n  9 [size=\"36167680\", alpha=\"0.17\", expect_size=\"14467072\"] \n  10 [size=\"109363200\", alpha=\"0.11\", expect_size=\"43745280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79808512\", alpha=\"0.14\", expect_size=\"39904256\"] \n  1 -> 2 [size =\"39904256\"]\n  2 [size=\"45180928\", alpha=\"0.18\", expect_size=\"22590464\"] \n  2 -> 3 [size =\"22590464\"]\n  3 [size=\"71075840\", alpha=\"0.00\", expect_size=\"35537920\"] \n  3 -> 4 [size =\"35537920\"]\n  4 [size=\"69861376\", alpha=\"0.20\", expect_size=\"34930688\"] \n  4 -> 5 [size =\"34930688\"]\n  5 [size=\"44437504\", alpha=\"0.12\", expect_size=\"22218752\"] \n  5 -> 6 [size =\"22218752\"]\n  6 [size=\"66861056\", alpha=\"0.16\", expect_size=\"33430528\"] \n  6 -> 7 [size =\"33430528\"]\n  7 [size=\"60465152\", alpha=\"0.18\", expect_size=\"30232576\"] \n  7 -> 8 [size =\"30232576\"]\n  8 [size=\"99979264\", alpha=\"0.18\", expect_size=\"49989632\"] \n  8 -> 9 [size =\"49989632\"]\n  9 [size=\"68425728\", alpha=\"0.03\", expect_size=\"34212864\"] \n  9 -> 10 [size =\"34212864\"]\n  10 [size=\"77776896\", alpha=\"0.06\", expect_size=\"38888448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81393664\", alpha=\"0.10\", expect_size=\"40696832\"] \n  1 -> 2 [size =\"40696832\"]\n  2 [size=\"54700032\", alpha=\"0.06\", expect_size=\"27350016\"] \n  2 -> 3 [size =\"27350016\"]\n  3 [size=\"57853952\", alpha=\"0.18\", expect_size=\"28926976\"] \n  3 -> 4 [size =\"28926976\"]\n  4 [size=\"100022272\", alpha=\"0.02\", expect_size=\"50011136\"] \n  4 -> 5 [size =\"50011136\"]\n  5 [size=\"82243584\", alpha=\"0.01\", expect_size=\"41121792\"] \n  5 -> 6 [size =\"41121792\"]\n  6 [size=\"15192064\", alpha=\"0.03\", expect_size=\"7596032\"] \n  6 -> 7 [size =\"7596032\"]\n  7 [size=\"77225984\", alpha=\"0.13\", expect_size=\"38612992\"] \n  7 -> 8 [size =\"38612992\"]\n  8 [size=\"42670080\", alpha=\"0.05\", expect_size=\"21335040\"] \n  8 -> 9 [size =\"21335040\"]\n  9 [size=\"24168448\", alpha=\"0.18\", expect_size=\"12084224\"] \n  9 -> 10 [size =\"12084224\"]\n  10 [size=\"54261760\", alpha=\"0.14\", expect_size=\"27130880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45171200\", alpha=\"0.16\", expect_size=\"18068480\"] \n  1 -> 2 [size =\"18068480\"]\n  2 [size=\"21829120\", alpha=\"0.05\", expect_size=\"8731648\"] \n  2 -> 3 [size =\"8731648\"]\n  3 [size=\"56455680\", alpha=\"0.15\", expect_size=\"22582272\"] \n  3 -> 4 [size =\"22582272\"]\n  4 [size=\"45583360\", alpha=\"0.14\", expect_size=\"18233344\"] \n  4 -> 5 [size =\"18233344\"]\n  5 [size=\"92085760\", alpha=\"0.10\", expect_size=\"36834304\"] \n  5 -> 6 [size =\"36834304\"]\n  6 [size=\"14612480\", alpha=\"0.01\", expect_size=\"5844992\"] \n  6 -> 7 [size =\"5844992\"]\n  7 [size=\"59991040\", alpha=\"0.17\", expect_size=\"23996416\"] \n  7 -> 8 [size =\"23996416\"]\n  8 [size=\"101465600\", alpha=\"0.02\", expect_size=\"40586240\"] \n  8 -> 9 [size =\"40586240\"]\n  9 [size=\"95022080\", alpha=\"0.04\", expect_size=\"38008832\"] \n  9 -> 10 [size =\"38008832\"]\n  10 [size=\"41029120\", alpha=\"0.02\", expect_size=\"16411648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40644608\", alpha=\"0.09\", expect_size=\"20322304\"] \n  1 -> 8 [size =\"20322304\"]\n  1 -> 9 [size =\"20322304\"]\n  2 [size=\"62343168\", alpha=\"0.16\", expect_size=\"31171584\"] \n  3 [size=\"11546624\", alpha=\"0.16\", expect_size=\"5773312\"] \n  4 [size=\"103233536\", alpha=\"0.14\", expect_size=\"51616768\"] \n  4 -> 8 [size =\"51616768\"]\n  4 -> 9 [size =\"51616768\"]\n  5 [size=\"11329536\", alpha=\"0.05\", expect_size=\"5664768\"] \n  5 -> 8 [size =\"5664768\"]\n  5 -> 10 [size =\"5664768\"]\n  6 [size=\"92801024\", alpha=\"0.12\", expect_size=\"46400512\"] \n  6 -> 8 [size =\"46400512\"]\n  7 [size=\"94472192\", alpha=\"0.02\", expect_size=\"47236096\"] \n  7 -> 9 [size =\"47236096\"]\n  8 [size=\"103716864\", alpha=\"0.19\", expect_size=\"51858432\"] \n  9 [size=\"44441600\", alpha=\"0.12\", expect_size=\"22220800\"] \n  10 [size=\"86956032\", alpha=\"0.03\", expect_size=\"43478016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132696747\", alpha=\"0.10\", expect_size=\"39809024\"] \n  1 -> 5 [size =\"39809024\"]\n  1 -> 7 [size =\"39809024\"]\n  1 -> 8 [size =\"39809024\"]\n  2 [size=\"95232000\", alpha=\"0.13\", expect_size=\"28569600\"] \n  2 -> 8 [size =\"28569600\"]\n  3 [size=\"131792213\", alpha=\"0.16\", expect_size=\"39537664\"] \n  3 -> 5 [size =\"39537664\"]\n  3 -> 8 [size =\"39537664\"]\n  3 -> 9 [size =\"39537664\"]\n  4 [size=\"162048000\", alpha=\"0.10\", expect_size=\"48614400\"] \n  4 -> 5 [size =\"48614400\"]\n  4 -> 6 [size =\"48614400\"]\n  4 -> 8 [size =\"48614400\"]\n  5 [size=\"32150187\", alpha=\"0.08\", expect_size=\"9645056\"] \n  6 [size=\"105891840\", alpha=\"0.01\", expect_size=\"31767552\"] \n  7 [size=\"84937387\", alpha=\"0.15\", expect_size=\"25481216\"] \n  7 -> 10 [size =\"25481216\"]\n  8 [size=\"166772053\", alpha=\"0.16\", expect_size=\"50031616\"] \n  8 -> 10 [size =\"50031616\"]\n  9 [size=\"153552213\", alpha=\"0.09\", expect_size=\"46065664\"] \n  9 -> 10 [size =\"46065664\"]\n  10 [size=\"75291307\", alpha=\"0.20\", expect_size=\"22587392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93706240\", alpha=\"0.01\", expect_size=\"28111872\"] \n  1 -> 2 [size =\"28111872\"]\n  2 [size=\"112510293\", alpha=\"0.15\", expect_size=\"33753088\"] \n  2 -> 3 [size =\"33753088\"]\n  3 [size=\"149691733\", alpha=\"0.04\", expect_size=\"44907520\"] \n  3 -> 4 [size =\"44907520\"]\n  4 [size=\"111783253\", alpha=\"0.12\", expect_size=\"33534976\"] \n  4 -> 5 [size =\"33534976\"]\n  5 [size=\"59351040\", alpha=\"0.16\", expect_size=\"17805312\"] \n  5 -> 6 [size =\"17805312\"]\n  6 [size=\"120722773\", alpha=\"0.13\", expect_size=\"36216832\"] \n  6 -> 7 [size =\"36216832\"]\n  7 [size=\"134362453\", alpha=\"0.00\", expect_size=\"40308736\"] \n  7 -> 8 [size =\"40308736\"]\n  8 [size=\"54497280\", alpha=\"0.04\", expect_size=\"16349184\"] \n  8 -> 9 [size =\"16349184\"]\n  9 [size=\"33392640\", alpha=\"0.14\", expect_size=\"10017792\"] \n  9 -> 10 [size =\"10017792\"]\n  10 [size=\"153801387\", alpha=\"0.02\", expect_size=\"46140416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16611840\", alpha=\"0.04\", expect_size=\"6644736\"] \n  1 -> 8 [size =\"6644736\"]\n  1 -> 10 [size =\"6644736\"]\n  2 [size=\"64104960\", alpha=\"0.20\", expect_size=\"25641984\"] \n  2 -> 9 [size =\"25641984\"]\n  2 -> 10 [size =\"25641984\"]\n  3 [size=\"99540480\", alpha=\"0.07\", expect_size=\"39816192\"] \n  3 -> 9 [size =\"39816192\"]\n  4 [size=\"87413760\", alpha=\"0.08\", expect_size=\"34965504\"] \n  4 -> 10 [size =\"34965504\"]\n  5 [size=\"128112640\", alpha=\"0.19\", expect_size=\"51245056\"] \n  5 -> 9 [size =\"51245056\"]\n  5 -> 10 [size =\"51245056\"]\n  6 [size=\"122693120\", alpha=\"0.05\", expect_size=\"49077248\"] \n  7 [size=\"93222400\", alpha=\"0.18\", expect_size=\"37288960\"] \n  7 -> 9 [size =\"37288960\"]\n  7 -> 10 [size =\"37288960\"]\n  8 [size=\"127805440\", alpha=\"0.08\", expect_size=\"51122176\"] \n  9 [size=\"95562240\", alpha=\"0.19\", expect_size=\"38224896\"] \n  10 [size=\"20894720\", alpha=\"0.09\", expect_size=\"8357888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88064000\", alpha=\"0.11\", expect_size=\"35225600\"] \n  2 [size=\"57264640\", alpha=\"0.02\", expect_size=\"22905856\"] \n  3 [size=\"112668160\", alpha=\"0.07\", expect_size=\"45067264\"] \n  3 -> 9 [size =\"45067264\"]\n  4 [size=\"66654720\", alpha=\"0.10\", expect_size=\"26661888\"] \n  4 -> 10 [size =\"26661888\"]\n  5 [size=\"67166720\", alpha=\"0.17\", expect_size=\"26866688\"] \n  5 -> 10 [size =\"26866688\"]\n  6 [size=\"126062080\", alpha=\"0.12\", expect_size=\"50424832\"] \n  6 -> 9 [size =\"50424832\"]\n  7 [size=\"110289920\", alpha=\"0.06\", expect_size=\"44115968\"] \n  8 [size=\"97387520\", alpha=\"0.07\", expect_size=\"38955008\"] \n  8 -> 9 [size =\"38955008\"]\n  9 [size=\"86056960\", alpha=\"0.13\", expect_size=\"34422784\"] \n  10 [size=\"94937600\", alpha=\"0.07\", expect_size=\"37975040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115333120\", alpha=\"0.16\", expect_size=\"46133248\"] \n  1 -> 2 [size =\"46133248\"]\n  2 [size=\"82900480\", alpha=\"0.07\", expect_size=\"33160192\"] \n  2 -> 3 [size =\"33160192\"]\n  3 [size=\"34744320\", alpha=\"0.14\", expect_size=\"13897728\"] \n  3 -> 4 [size =\"13897728\"]\n  4 [size=\"118502400\", alpha=\"0.05\", expect_size=\"47400960\"] \n  4 -> 5 [size =\"47400960\"]\n  5 [size=\"95354880\", alpha=\"0.16\", expect_size=\"38141952\"] \n  5 -> 6 [size =\"38141952\"]\n  6 [size=\"49093120\", alpha=\"0.10\", expect_size=\"19637248\"] \n  6 -> 7 [size =\"19637248\"]\n  7 [size=\"110008320\", alpha=\"0.01\", expect_size=\"44003328\"] \n  7 -> 8 [size =\"44003328\"]\n  8 [size=\"102274560\", alpha=\"0.05\", expect_size=\"40909824\"] \n  8 -> 9 [size =\"40909824\"]\n  9 [size=\"119406080\", alpha=\"0.02\", expect_size=\"47762432\"] \n  9 -> 10 [size =\"47762432\"]\n  10 [size=\"19261440\", alpha=\"0.11\", expect_size=\"7704576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35158016\", alpha=\"0.05\", expect_size=\"17579008\"] \n  1 -> 2 [size =\"17579008\"]\n  1 -> 3 [size =\"17579008\"]\n  1 -> 4 [size =\"17579008\"]\n  2 [size=\"64309248\", alpha=\"0.18\", expect_size=\"32154624\"] \n  2 -> 6 [size =\"32154624\"]\n  3 [size=\"20533248\", alpha=\"0.14\", expect_size=\"10266624\"] \n  3 -> 5 [size =\"10266624\"]\n  4 [size=\"51089408\", alpha=\"0.11\", expect_size=\"25544704\"] \n  4 -> 6 [size =\"25544704\"]\n  5 [size=\"12445696\", alpha=\"0.14\", expect_size=\"6222848\"] \n  5 -> 7 [size =\"6222848\"]\n  5 -> 8 [size =\"6222848\"]\n  6 [size=\"68995072\", alpha=\"0.12\", expect_size=\"34497536\"] \n  6 -> 7 [size =\"34497536\"]\n  6 -> 9 [size =\"34497536\"]\n  7 [size=\"77125632\", alpha=\"0.05\", expect_size=\"38562816\"] \n  7 -> 10 [size =\"38562816\"]\n  8 [size=\"101562368\", alpha=\"0.00\", expect_size=\"50781184\"] \n  9 [size=\"53606400\", alpha=\"0.03\", expect_size=\"26803200\"] \n  10 [size=\"36376576\", alpha=\"0.19\", expect_size=\"18188288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71792640\", alpha=\"0.12\", expect_size=\"35896320\"] \n  1 -> 5 [size =\"35896320\"]\n  2 [size=\"42967040\", alpha=\"0.11\", expect_size=\"21483520\"] \n  3 [size=\"95143936\", alpha=\"0.18\", expect_size=\"47571968\"] \n  4 [size=\"37896192\", alpha=\"0.03\", expect_size=\"18948096\"] \n  5 [size=\"95471616\", alpha=\"0.19\", expect_size=\"47735808\"] \n  5 -> 6 [size =\"47735808\"]\n  5 -> 7 [size =\"47735808\"]\n  5 -> 8 [size =\"47735808\"]\n  5 -> 9 [size =\"47735808\"]\n  6 [size=\"60545024\", alpha=\"0.19\", expect_size=\"30272512\"] \n  7 [size=\"104566784\", alpha=\"0.14\", expect_size=\"52283392\"] \n  7 -> 10 [size =\"52283392\"]\n  8 [size=\"77430784\", alpha=\"0.16\", expect_size=\"38715392\"] \n  8 -> 10 [size =\"38715392\"]\n  9 [size=\"74383360\", alpha=\"0.10\", expect_size=\"37191680\"] \n  9 -> 10 [size =\"37191680\"]\n  10 [size=\"61739008\", alpha=\"0.08\", expect_size=\"30869504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104673280\", alpha=\"0.10\", expect_size=\"31401984\"] \n  2 [size=\"39243093\", alpha=\"0.19\", expect_size=\"11772928\"] \n  2 -> 8 [size =\"11772928\"]\n  2 -> 9 [size =\"11772928\"]\n  2 -> 10 [size =\"11772928\"]\n  3 [size=\"62313813\", alpha=\"0.08\", expect_size=\"18694144\"] \n  3 -> 8 [size =\"18694144\"]\n  4 [size=\"56139093\", alpha=\"0.18\", expect_size=\"16841728\"] \n  4 -> 8 [size =\"16841728\"]\n  4 -> 10 [size =\"16841728\"]\n  5 [size=\"78390613\", alpha=\"0.15\", expect_size=\"23517184\"] \n  5 -> 8 [size =\"23517184\"]\n  5 -> 10 [size =\"23517184\"]\n  6 [size=\"106683733\", alpha=\"0.17\", expect_size=\"32005120\"] \n  6 -> 9 [size =\"32005120\"]\n  6 -> 10 [size =\"32005120\"]\n  7 [size=\"79964160\", alpha=\"0.08\", expect_size=\"23989248\"] \n  8 [size=\"123931307\", alpha=\"0.14\", expect_size=\"37179392\"] \n  9 [size=\"141482667\", alpha=\"0.07\", expect_size=\"42444800\"] \n  10 [size=\"126675627\", alpha=\"0.19\", expect_size=\"38002688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124592640\", alpha=\"0.11\", expect_size=\"49837056\"] \n  1 -> 2 [size =\"49837056\"]\n  2 [size=\"14205440\", alpha=\"0.10\", expect_size=\"5682176\"] \n  2 -> 3 [size =\"5682176\"]\n  3 [size=\"88686080\", alpha=\"0.15\", expect_size=\"35474432\"] \n  3 -> 4 [size =\"35474432\"]\n  4 [size=\"94952960\", alpha=\"0.14\", expect_size=\"37981184\"] \n  4 -> 5 [size =\"37981184\"]\n  5 [size=\"110648320\", alpha=\"0.13\", expect_size=\"44259328\"] \n  5 -> 6 [size =\"44259328\"]\n  6 [size=\"30620160\", alpha=\"0.02\", expect_size=\"12248064\"] \n  6 -> 7 [size =\"12248064\"]\n  7 [size=\"21690880\", alpha=\"0.19\", expect_size=\"8676352\"] \n  7 -> 8 [size =\"8676352\"]\n  8 [size=\"57533440\", alpha=\"0.03\", expect_size=\"23013376\"] \n  8 -> 9 [size =\"23013376\"]\n  9 [size=\"23201280\", alpha=\"0.14\", expect_size=\"9280512\"] \n  9 -> 10 [size =\"9280512\"]\n  10 [size=\"87216640\", alpha=\"0.02\", expect_size=\"34886656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59395413\", alpha=\"0.05\", expect_size=\"17818624\"] \n  2 [size=\"99816107\", alpha=\"0.12\", expect_size=\"29944832\"] \n  2 -> 9 [size =\"29944832\"]\n  2 -> 10 [size =\"29944832\"]\n  3 [size=\"18916693\", alpha=\"0.09\", expect_size=\"5675008\"] \n  3 -> 9 [size =\"5675008\"]\n  3 -> 10 [size =\"5675008\"]\n  4 [size=\"79752533\", alpha=\"0.12\", expect_size=\"23925760\"] \n  4 -> 9 [size =\"23925760\"]\n  5 [size=\"73584640\", alpha=\"0.00\", expect_size=\"22075392\"] \n  6 [size=\"37587627\", alpha=\"0.10\", expect_size=\"11276288\"] \n  6 -> 8 [size =\"11276288\"]\n  6 -> 9 [size =\"11276288\"]\n  6 -> 10 [size =\"11276288\"]\n  7 [size=\"126173867\", alpha=\"0.15\", expect_size=\"37852160\"] \n  7 -> 8 [size =\"37852160\"]\n  7 -> 9 [size =\"37852160\"]\n  8 [size=\"43663360\", alpha=\"0.12\", expect_size=\"13099008\"] \n  9 [size=\"117149013\", alpha=\"0.05\", expect_size=\"35144704\"] \n  10 [size=\"168017920\", alpha=\"0.15\", expect_size=\"50405376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87912960\", alpha=\"0.10\", expect_size=\"35165184\"] \n  1 -> 3 [size =\"35165184\"]\n  1 -> 5 [size =\"35165184\"]\n  2 [size=\"38929920\", alpha=\"0.05\", expect_size=\"15571968\"] \n  2 -> 3 [size =\"15571968\"]\n  2 -> 4 [size =\"15571968\"]\n  2 -> 5 [size =\"15571968\"]\n  3 [size=\"70912000\", alpha=\"0.03\", expect_size=\"28364800\"] \n  3 -> 6 [size =\"28364800\"]\n  3 -> 7 [size =\"28364800\"]\n  3 -> 8 [size =\"28364800\"]\n  4 [size=\"98626560\", alpha=\"0.07\", expect_size=\"39450624\"] \n  4 -> 6 [size =\"39450624\"]\n  4 -> 8 [size =\"39450624\"]\n  5 [size=\"116615680\", alpha=\"0.01\", expect_size=\"46646272\"] \n  5 -> 6 [size =\"46646272\"]\n  5 -> 7 [size =\"46646272\"]\n  5 -> 8 [size =\"46646272\"]\n  6 [size=\"113804800\", alpha=\"0.08\", expect_size=\"45521920\"] \n  6 -> 9 [size =\"45521920\"]\n  6 -> 10 [size =\"45521920\"]\n  7 [size=\"90142720\", alpha=\"0.12\", expect_size=\"36057088\"] \n  7 -> 10 [size =\"36057088\"]\n  8 [size=\"22952960\", alpha=\"0.18\", expect_size=\"9181184\"] \n  8 -> 9 [size =\"9181184\"]\n  8 -> 10 [size =\"9181184\"]\n  9 [size=\"67840000\", alpha=\"0.19\", expect_size=\"27136000\"] \n  10 [size=\"96279040\", alpha=\"0.17\", expect_size=\"38511616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131036160\", alpha=\"0.09\", expect_size=\"52414464\"] \n  1 -> 2 [size =\"52414464\"]\n  2 [size=\"50557440\", alpha=\"0.15\", expect_size=\"20222976\"] \n  2 -> 3 [size =\"20222976\"]\n  3 [size=\"39943680\", alpha=\"0.18\", expect_size=\"15977472\"] \n  3 -> 4 [size =\"15977472\"]\n  4 [size=\"91153920\", alpha=\"0.20\", expect_size=\"36461568\"] \n  4 -> 5 [size =\"36461568\"]\n  5 [size=\"76807680\", alpha=\"0.00\", expect_size=\"30723072\"] \n  5 -> 6 [size =\"30723072\"]\n  6 [size=\"74432000\", alpha=\"0.15\", expect_size=\"29772800\"] \n  6 -> 7 [size =\"29772800\"]\n  7 [size=\"27568640\", alpha=\"0.03\", expect_size=\"11027456\"] \n  7 -> 8 [size =\"11027456\"]\n  8 [size=\"21995520\", alpha=\"0.03\", expect_size=\"8798208\"] \n  8 -> 9 [size =\"8798208\"]\n  9 [size=\"37086720\", alpha=\"0.11\", expect_size=\"14834688\"] \n  9 -> 10 [size =\"14834688\"]\n  10 [size=\"61465600\", alpha=\"0.06\", expect_size=\"24586240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121943040\", alpha=\"0.19\", expect_size=\"48777216\"] \n  1 -> 3 [size =\"48777216\"]\n  1 -> 4 [size =\"48777216\"]\n  2 [size=\"13493760\", alpha=\"0.10\", expect_size=\"5397504\"] \n  2 -> 3 [size =\"5397504\"]\n  2 -> 4 [size =\"5397504\"]\n  3 [size=\"48486400\", alpha=\"0.04\", expect_size=\"19394560\"] \n  3 -> 5 [size =\"19394560\"]\n  3 -> 6 [size =\"19394560\"]\n  4 [size=\"121062400\", alpha=\"0.14\", expect_size=\"48424960\"] \n  4 -> 6 [size =\"48424960\"]\n  5 [size=\"32230400\", alpha=\"0.09\", expect_size=\"12892160\"] \n  5 -> 7 [size =\"12892160\"]\n  5 -> 8 [size =\"12892160\"]\n  5 -> 9 [size =\"12892160\"]\n  6 [size=\"103795200\", alpha=\"0.04\", expect_size=\"41518080\"] \n  6 -> 7 [size =\"41518080\"]\n  6 -> 8 [size =\"41518080\"]\n  6 -> 9 [size =\"41518080\"]\n  7 [size=\"95111680\", alpha=\"0.02\", expect_size=\"38044672\"] \n  7 -> 10 [size =\"38044672\"]\n  8 [size=\"78620160\", alpha=\"0.09\", expect_size=\"31448064\"] \n  9 [size=\"59292160\", alpha=\"0.13\", expect_size=\"23716864\"] \n  9 -> 10 [size =\"23716864\"]\n  10 [size=\"100528640\", alpha=\"0.03\", expect_size=\"40211456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138932907\", alpha=\"0.17\", expect_size=\"41679872\"] \n  1 -> 7 [size =\"41679872\"]\n  2 [size=\"85667840\", alpha=\"0.17\", expect_size=\"25700352\"] \n  2 -> 6 [size =\"25700352\"]\n  2 -> 8 [size =\"25700352\"]\n  2 -> 9 [size =\"25700352\"]\n  3 [size=\"30969173\", alpha=\"0.08\", expect_size=\"9290752\"] \n  4 [size=\"55787520\", alpha=\"0.06\", expect_size=\"16736256\"] \n  4 -> 6 [size =\"16736256\"]\n  4 -> 8 [size =\"16736256\"]\n  5 [size=\"48981333\", alpha=\"0.05\", expect_size=\"14694400\"] \n  5 -> 6 [size =\"14694400\"]\n  5 -> 8 [size =\"14694400\"]\n  6 [size=\"144592213\", alpha=\"0.13\", expect_size=\"43377664\"] \n  7 [size=\"35911680\", alpha=\"0.18\", expect_size=\"10773504\"] \n  7 -> 10 [size =\"10773504\"]\n  8 [size=\"95395840\", alpha=\"0.18\", expect_size=\"28618752\"] \n  8 -> 10 [size =\"28618752\"]\n  9 [size=\"121408853\", alpha=\"0.07\", expect_size=\"36422656\"] \n  9 -> 10 [size =\"36422656\"]\n  10 [size=\"161228800\", alpha=\"0.09\", expect_size=\"48368640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47851520\", alpha=\"0.05\", expect_size=\"14355456\"] \n  1 -> 7 [size =\"14355456\"]\n  1 -> 10 [size =\"14355456\"]\n  2 [size=\"142772907\", alpha=\"0.10\", expect_size=\"42831872\"] \n  2 -> 7 [size =\"42831872\"]\n  2 -> 8 [size =\"42831872\"]\n  2 -> 10 [size =\"42831872\"]\n  3 [size=\"89978880\", alpha=\"0.01\", expect_size=\"26993664\"] \n  3 -> 7 [size =\"26993664\"]\n  3 -> 10 [size =\"26993664\"]\n  3 -> 10 [size =\"26993664\"]\n  4 [size=\"127679147\", alpha=\"0.01\", expect_size=\"38303744\"] \n  4 -> 7 [size =\"38303744\"]\n  4 -> 9 [size =\"38303744\"]\n  5 [size=\"64829440\", alpha=\"0.19\", expect_size=\"19448832\"] \n  5 -> 7 [size =\"19448832\"]\n  5 -> 10 [size =\"19448832\"]\n  6 [size=\"136359253\", alpha=\"0.16\", expect_size=\"40907776\"] \n  7 [size=\"141202773\", alpha=\"0.17\", expect_size=\"42360832\"] \n  8 [size=\"41932800\", alpha=\"0.19\", expect_size=\"12579840\"] \n  9 [size=\"70304427\", alpha=\"0.10\", expect_size=\"21091328\"] \n  10 [size=\"95590400\", alpha=\"0.18\", expect_size=\"28677120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142281387\", alpha=\"0.02\", expect_size=\"42684416\"] \n  1 -> 8 [size =\"42684416\"]\n  1 -> 9 [size =\"42684416\"]\n  2 [size=\"132672853\", alpha=\"0.11\", expect_size=\"39801856\"] \n  2 -> 8 [size =\"39801856\"]\n  3 [size=\"27695787\", alpha=\"0.11\", expect_size=\"8308736\"] \n  3 -> 9 [size =\"8308736\"]\n  4 [size=\"98655573\", alpha=\"0.13\", expect_size=\"29596672\"] \n  4 -> 8 [size =\"29596672\"]\n  4 -> 9 [size =\"29596672\"]\n  4 -> 10 [size =\"29596672\"]\n  5 [size=\"139274240\", alpha=\"0.16\", expect_size=\"41782272\"] \n  5 -> 8 [size =\"41782272\"]\n  5 -> 9 [size =\"41782272\"]\n  6 [size=\"138994347\", alpha=\"0.13\", expect_size=\"41698304\"] \n  6 -> 9 [size =\"41698304\"]\n  7 [size=\"161757867\", alpha=\"0.05\", expect_size=\"48527360\"] \n  7 -> 8 [size =\"48527360\"]\n  8 [size=\"156043947\", alpha=\"0.08\", expect_size=\"46813184\"] \n  9 [size=\"133147307\", alpha=\"0.14\", expect_size=\"39944192\"] \n  10 [size=\"111919787\", alpha=\"0.06\", expect_size=\"33575936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65046528\", alpha=\"0.13\", expect_size=\"32523264\"] \n  1 -> 2 [size =\"32523264\"]\n  2 [size=\"79853568\", alpha=\"0.09\", expect_size=\"39926784\"] \n  2 -> 3 [size =\"39926784\"]\n  3 [size=\"27906048\", alpha=\"0.19\", expect_size=\"13953024\"] \n  3 -> 4 [size =\"13953024\"]\n  4 [size=\"54050816\", alpha=\"0.09\", expect_size=\"27025408\"] \n  4 -> 5 [size =\"27025408\"]\n  5 [size=\"73627648\", alpha=\"0.17\", expect_size=\"36813824\"] \n  5 -> 6 [size =\"36813824\"]\n  6 [size=\"91867136\", alpha=\"0.06\", expect_size=\"45933568\"] \n  6 -> 7 [size =\"45933568\"]\n  7 [size=\"92829696\", alpha=\"0.12\", expect_size=\"46414848\"] \n  7 -> 8 [size =\"46414848\"]\n  8 [size=\"28805120\", alpha=\"0.10\", expect_size=\"14402560\"] \n  8 -> 9 [size =\"14402560\"]\n  9 [size=\"46817280\", alpha=\"0.03\", expect_size=\"23408640\"] \n  9 -> 10 [size =\"23408640\"]\n  10 [size=\"103180288\", alpha=\"0.17\", expect_size=\"51590144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66727936\", alpha=\"0.09\", expect_size=\"33363968\"] \n  1 -> 2 [size =\"33363968\"]\n  2 [size=\"42287104\", alpha=\"0.17\", expect_size=\"21143552\"] \n  2 -> 3 [size =\"21143552\"]\n  3 [size=\"14786560\", alpha=\"0.07\", expect_size=\"7393280\"] \n  3 -> 4 [size =\"7393280\"]\n  4 [size=\"84318208\", alpha=\"0.11\", expect_size=\"42159104\"] \n  4 -> 5 [size =\"42159104\"]\n  5 [size=\"64358400\", alpha=\"0.16\", expect_size=\"32179200\"] \n  5 -> 6 [size =\"32179200\"]\n  6 [size=\"40312832\", alpha=\"0.14\", expect_size=\"20156416\"] \n  6 -> 7 [size =\"20156416\"]\n  7 [size=\"62527488\", alpha=\"0.17\", expect_size=\"31263744\"] \n  7 -> 8 [size =\"31263744\"]\n  8 [size=\"66002944\", alpha=\"0.07\", expect_size=\"33001472\"] \n  8 -> 9 [size =\"33001472\"]\n  9 [size=\"97085440\", alpha=\"0.09\", expect_size=\"48542720\"] \n  9 -> 10 [size =\"48542720\"]\n  10 [size=\"32663552\", alpha=\"0.05\", expect_size=\"16331776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84864000\", alpha=\"0.04\", expect_size=\"33945600\"] \n  1 -> 9 [size =\"33945600\"]\n  1 -> 10 [size =\"33945600\"]\n  2 [size=\"78691840\", alpha=\"0.07\", expect_size=\"31476736\"] \n  2 -> 9 [size =\"31476736\"]\n  2 -> 10 [size =\"31476736\"]\n  3 [size=\"118830080\", alpha=\"0.02\", expect_size=\"47532032\"] \n  3 -> 9 [size =\"47532032\"]\n  4 [size=\"70366720\", alpha=\"0.19\", expect_size=\"28146688\"] \n  4 -> 9 [size =\"28146688\"]\n  5 [size=\"98204160\", alpha=\"0.18\", expect_size=\"39281664\"] \n  6 [size=\"113953280\", alpha=\"0.02\", expect_size=\"45581312\"] \n  6 -> 10 [size =\"45581312\"]\n  7 [size=\"113062400\", alpha=\"0.19\", expect_size=\"45224960\"] \n  8 [size=\"84177920\", alpha=\"0.05\", expect_size=\"33671168\"] \n  8 -> 9 [size =\"33671168\"]\n  9 [size=\"129592320\", alpha=\"0.15\", expect_size=\"51836928\"] \n  10 [size=\"69176320\", alpha=\"0.10\", expect_size=\"27670528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74112000\", alpha=\"0.10\", expect_size=\"29644800\"] \n  1 -> 7 [size =\"29644800\"]\n  1 -> 8 [size =\"29644800\"]\n  1 -> 9 [size =\"29644800\"]\n  2 [size=\"97999360\", alpha=\"0.15\", expect_size=\"39199744\"] \n  3 [size=\"109163520\", alpha=\"0.03\", expect_size=\"43665408\"] \n  4 [size=\"127907840\", alpha=\"0.02\", expect_size=\"51163136\"] \n  4 -> 8 [size =\"51163136\"]\n  5 [size=\"95557120\", alpha=\"0.19\", expect_size=\"38222848\"] \n  5 -> 8 [size =\"38222848\"]\n  5 -> 10 [size =\"38222848\"]\n  6 [size=\"89935360\", alpha=\"0.02\", expect_size=\"35974144\"] \n  6 -> 7 [size =\"35974144\"]\n  6 -> 8 [size =\"35974144\"]\n  6 -> 9 [size =\"35974144\"]\n  7 [size=\"80235520\", alpha=\"0.02\", expect_size=\"32094208\"] \n  8 [size=\"39272960\", alpha=\"0.04\", expect_size=\"15709184\"] \n  9 [size=\"86758400\", alpha=\"0.00\", expect_size=\"34703360\"] \n  10 [size=\"63408640\", alpha=\"0.07\", expect_size=\"25363456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45903872\", alpha=\"0.17\", expect_size=\"22951936\"] \n  1 -> 4 [size =\"22951936\"]\n  1 -> 5 [size =\"22951936\"]\n  2 [size=\"87654400\", alpha=\"0.07\", expect_size=\"43827200\"] \n  2 -> 4 [size =\"43827200\"]\n  3 [size=\"25747456\", alpha=\"0.05\", expect_size=\"12873728\"] \n  3 -> 5 [size =\"12873728\"]\n  4 [size=\"29239296\", alpha=\"0.02\", expect_size=\"14619648\"] \n  4 -> 6 [size =\"14619648\"]\n  4 -> 7 [size =\"14619648\"]\n  4 -> 8 [size =\"14619648\"]\n  5 [size=\"40306688\", alpha=\"0.14\", expect_size=\"20153344\"] \n  5 -> 6 [size =\"20153344\"]\n  5 -> 7 [size =\"20153344\"]\n  5 -> 8 [size =\"20153344\"]\n  6 [size=\"49580032\", alpha=\"0.13\", expect_size=\"24790016\"] \n  6 -> 9 [size =\"24790016\"]\n  7 [size=\"103856128\", alpha=\"0.19\", expect_size=\"51928064\"] \n  7 -> 9 [size =\"51928064\"]\n  8 [size=\"26505216\", alpha=\"0.02\", expect_size=\"13252608\"] \n  8 -> 10 [size =\"13252608\"]\n  9 [size=\"29106176\", alpha=\"0.13\", expect_size=\"14553088\"] \n  10 [size=\"80519168\", alpha=\"0.05\", expect_size=\"40259584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124166827\", alpha=\"0.01\", expect_size=\"37250048\"] \n  1 -> 2 [size =\"37250048\"]\n  2 [size=\"143264427\", alpha=\"0.00\", expect_size=\"42979328\"] \n  2 -> 3 [size =\"42979328\"]\n  3 [size=\"123876693\", alpha=\"0.12\", expect_size=\"37163008\"] \n  3 -> 4 [size =\"37163008\"]\n  4 [size=\"133082453\", alpha=\"0.16\", expect_size=\"39924736\"] \n  4 -> 5 [size =\"39924736\"]\n  5 [size=\"157757440\", alpha=\"0.18\", expect_size=\"47327232\"] \n  5 -> 6 [size =\"47327232\"]\n  6 [size=\"37133653\", alpha=\"0.19\", expect_size=\"11140096\"] \n  6 -> 7 [size =\"11140096\"]\n  7 [size=\"77038933\", alpha=\"0.17\", expect_size=\"23111680\"] \n  7 -> 8 [size =\"23111680\"]\n  8 [size=\"39468373\", alpha=\"0.12\", expect_size=\"11840512\"] \n  8 -> 9 [size =\"11840512\"]\n  9 [size=\"150981973\", alpha=\"0.04\", expect_size=\"45294592\"] \n  9 -> 10 [size =\"45294592\"]\n  10 [size=\"161184427\", alpha=\"0.05\", expect_size=\"48355328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126180693\", alpha=\"0.07\", expect_size=\"37854208\"] \n  1 -> 2 [size =\"37854208\"]\n  2 [size=\"79766187\", alpha=\"0.08\", expect_size=\"23929856\"] \n  2 -> 3 [size =\"23929856\"]\n  3 [size=\"101021013\", alpha=\"0.09\", expect_size=\"30306304\"] \n  3 -> 4 [size =\"30306304\"]\n  4 [size=\"25132373\", alpha=\"0.08\", expect_size=\"7539712\"] \n  4 -> 5 [size =\"7539712\"]\n  5 [size=\"62419627\", alpha=\"0.07\", expect_size=\"18725888\"] \n  5 -> 6 [size =\"18725888\"]\n  6 [size=\"28456960\", alpha=\"0.07\", expect_size=\"8537088\"] \n  6 -> 7 [size =\"8537088\"]\n  7 [size=\"103604907\", alpha=\"0.02\", expect_size=\"31081472\"] \n  7 -> 8 [size =\"31081472\"]\n  8 [size=\"21039787\", alpha=\"0.08\", expect_size=\"6311936\"] \n  8 -> 9 [size =\"6311936\"]\n  9 [size=\"154088107\", alpha=\"0.09\", expect_size=\"46226432\"] \n  9 -> 10 [size =\"46226432\"]\n  10 [size=\"41325227\", alpha=\"0.12\", expect_size=\"12397568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50216960\", alpha=\"0.04\", expect_size=\"15065088\"] \n  1 -> 4 [size =\"15065088\"]\n  2 [size=\"100608000\", alpha=\"0.07\", expect_size=\"30182400\"] \n  2 -> 5 [size =\"30182400\"]\n  3 [size=\"21562027\", alpha=\"0.03\", expect_size=\"6468608\"] \n  3 -> 4 [size =\"6468608\"]\n  4 [size=\"67130027\", alpha=\"0.02\", expect_size=\"20139008\"] \n  4 -> 6 [size =\"20139008\"]\n  4 -> 7 [size =\"20139008\"]\n  5 [size=\"107543893\", alpha=\"0.10\", expect_size=\"32263168\"] \n  5 -> 7 [size =\"32263168\"]\n  6 [size=\"136079360\", alpha=\"0.06\", expect_size=\"40823808\"] \n  6 -> 8 [size =\"40823808\"]\n  6 -> 9 [size =\"40823808\"]\n  6 -> 10 [size =\"40823808\"]\n  7 [size=\"31074987\", alpha=\"0.04\", expect_size=\"9322496\"] \n  7 -> 8 [size =\"9322496\"]\n  7 -> 10 [size =\"9322496\"]\n  8 [size=\"30822400\", alpha=\"0.19\", expect_size=\"9246720\"] \n  9 [size=\"37478400\", alpha=\"0.00\", expect_size=\"11243520\"] \n  10 [size=\"26292907\", alpha=\"0.08\", expect_size=\"7887872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30814208\", alpha=\"0.13\", expect_size=\"15407104\"] \n  1 -> 2 [size =\"15407104\"]\n  2 [size=\"58232832\", alpha=\"0.17\", expect_size=\"29116416\"] \n  2 -> 3 [size =\"29116416\"]\n  3 [size=\"48418816\", alpha=\"0.17\", expect_size=\"24209408\"] \n  3 -> 4 [size =\"24209408\"]\n  4 [size=\"46473216\", alpha=\"0.10\", expect_size=\"23236608\"] \n  4 -> 5 [size =\"23236608\"]\n  5 [size=\"29548544\", alpha=\"0.06\", expect_size=\"14774272\"] \n  5 -> 6 [size =\"14774272\"]\n  6 [size=\"14348288\", alpha=\"0.05\", expect_size=\"7174144\"] \n  6 -> 7 [size =\"7174144\"]\n  7 [size=\"81012736\", alpha=\"0.07\", expect_size=\"40506368\"] \n  7 -> 8 [size =\"40506368\"]\n  8 [size=\"52160512\", alpha=\"0.05\", expect_size=\"26080256\"] \n  8 -> 9 [size =\"26080256\"]\n  9 [size=\"98304000\", alpha=\"0.05\", expect_size=\"49152000\"] \n  9 -> 10 [size =\"49152000\"]\n  10 [size=\"99096576\", alpha=\"0.00\", expect_size=\"49548288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54325760\", alpha=\"0.05\", expect_size=\"21730304\"] \n  1 -> 4 [size =\"21730304\"]\n  2 [size=\"93352960\", alpha=\"0.01\", expect_size=\"37341184\"] \n  2 -> 3 [size =\"37341184\"]\n  2 -> 4 [size =\"37341184\"]\n  2 -> 5 [size =\"37341184\"]\n  3 [size=\"41469440\", alpha=\"0.19\", expect_size=\"16587776\"] \n  3 -> 6 [size =\"16587776\"]\n  3 -> 8 [size =\"16587776\"]\n  4 [size=\"85854720\", alpha=\"0.15\", expect_size=\"34341888\"] \n  4 -> 7 [size =\"34341888\"]\n  5 [size=\"45393920\", alpha=\"0.15\", expect_size=\"18157568\"] \n  5 -> 8 [size =\"18157568\"]\n  6 [size=\"97472000\", alpha=\"0.12\", expect_size=\"38988800\"] \n  7 [size=\"86215680\", alpha=\"0.16\", expect_size=\"34486272\"] \n  7 -> 9 [size =\"34486272\"]\n  8 [size=\"73748480\", alpha=\"0.13\", expect_size=\"29499392\"] \n  8 -> 9 [size =\"29499392\"]\n  8 -> 10 [size =\"29499392\"]\n  9 [size=\"66165760\", alpha=\"0.12\", expect_size=\"26466304\"] \n  10 [size=\"115059200\", alpha=\"0.03\", expect_size=\"46023680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89825280\", alpha=\"0.14\", expect_size=\"35930112\"] \n  1 -> 7 [size =\"35930112\"]\n  1 -> 8 [size =\"35930112\"]\n  1 -> 10 [size =\"35930112\"]\n  2 [size=\"56901120\", alpha=\"0.05\", expect_size=\"22760448\"] \n  2 -> 5 [size =\"22760448\"]\n  2 -> 6 [size =\"22760448\"]\n  2 -> 7 [size =\"22760448\"]\n  3 [size=\"69998080\", alpha=\"0.15\", expect_size=\"27999232\"] \n  3 -> 6 [size =\"27999232\"]\n  3 -> 9 [size =\"27999232\"]\n  4 [size=\"121456640\", alpha=\"0.04\", expect_size=\"48582656\"] \n  4 -> 9 [size =\"48582656\"]\n  5 [size=\"25052160\", alpha=\"0.13\", expect_size=\"10020864\"] \n  6 [size=\"51584000\", alpha=\"0.11\", expect_size=\"20633600\"] \n  7 [size=\"65218560\", alpha=\"0.00\", expect_size=\"26087424\"] \n  8 [size=\"93373440\", alpha=\"0.19\", expect_size=\"37349376\"] \n  9 [size=\"30520320\", alpha=\"0.13\", expect_size=\"12208128\"] \n  10 [size=\"95633920\", alpha=\"0.15\", expect_size=\"38253568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49680384\", alpha=\"0.16\", expect_size=\"24840192\"] \n  1 -> 6 [size =\"24840192\"]\n  1 -> 7 [size =\"24840192\"]\n  2 [size=\"27600896\", alpha=\"0.12\", expect_size=\"13800448\"] \n  2 -> 7 [size =\"13800448\"]\n  3 [size=\"92796928\", alpha=\"0.05\", expect_size=\"46398464\"] \n  3 -> 5 [size =\"46398464\"]\n  4 [size=\"17965056\", alpha=\"0.02\", expect_size=\"8982528\"] \n  5 [size=\"20938752\", alpha=\"0.17\", expect_size=\"10469376\"] \n  5 -> 8 [size =\"10469376\"]\n  5 -> 9 [size =\"10469376\"]\n  5 -> 10 [size =\"10469376\"]\n  6 [size=\"12969984\", alpha=\"0.02\", expect_size=\"6484992\"] \n  6 -> 8 [size =\"6484992\"]\n  6 -> 9 [size =\"6484992\"]\n  6 -> 10 [size =\"6484992\"]\n  7 [size=\"89128960\", alpha=\"0.08\", expect_size=\"44564480\"] \n  7 -> 9 [size =\"44564480\"]\n  7 -> 10 [size =\"44564480\"]\n  8 [size=\"29046784\", alpha=\"0.11\", expect_size=\"14523392\"] \n  9 [size=\"52127744\", alpha=\"0.07\", expect_size=\"26063872\"] \n  10 [size=\"14979072\", alpha=\"0.02\", expect_size=\"7489536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73881600\", alpha=\"0.09\", expect_size=\"22164480\"] \n  1 -> 6 [size =\"22164480\"]\n  2 [size=\"135700480\", alpha=\"0.09\", expect_size=\"40710144\"] \n  2 -> 9 [size =\"40710144\"]\n  2 -> 10 [size =\"40710144\"]\n  3 [size=\"127682560\", alpha=\"0.16\", expect_size=\"38304768\"] \n  3 -> 6 [size =\"38304768\"]\n  3 -> 8 [size =\"38304768\"]\n  3 -> 9 [size =\"38304768\"]\n  3 -> 10 [size =\"38304768\"]\n  4 [size=\"105823573\", alpha=\"0.08\", expect_size=\"31747072\"] \n  5 [size=\"105915733\", alpha=\"0.17\", expect_size=\"31774720\"] \n  5 -> 6 [size =\"31774720\"]\n  5 -> 7 [size =\"31774720\"]\n  5 -> 9 [size =\"31774720\"]\n  6 [size=\"76707840\", alpha=\"0.04\", expect_size=\"23012352\"] \n  7 [size=\"131198293\", alpha=\"0.17\", expect_size=\"39359488\"] \n  8 [size=\"41830400\", alpha=\"0.08\", expect_size=\"12549120\"] \n  9 [size=\"170724693\", alpha=\"0.10\", expect_size=\"51217408\"] \n  10 [size=\"165297493\", alpha=\"0.01\", expect_size=\"49589248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87230464\", alpha=\"0.14\", expect_size=\"43615232\"] \n  1 -> 2 [size =\"43615232\"]\n  2 [size=\"60260352\", alpha=\"0.09\", expect_size=\"30130176\"] \n  2 -> 3 [size =\"30130176\"]\n  3 [size=\"31494144\", alpha=\"0.06\", expect_size=\"15747072\"] \n  3 -> 4 [size =\"15747072\"]\n  4 [size=\"58183680\", alpha=\"0.01\", expect_size=\"29091840\"] \n  4 -> 5 [size =\"29091840\"]\n  5 [size=\"32868352\", alpha=\"0.02\", expect_size=\"16434176\"] \n  5 -> 6 [size =\"16434176\"]\n  6 [size=\"90009600\", alpha=\"0.14\", expect_size=\"45004800\"] \n  6 -> 7 [size =\"45004800\"]\n  7 [size=\"27777024\", alpha=\"0.00\", expect_size=\"13888512\"] \n  7 -> 8 [size =\"13888512\"]\n  8 [size=\"54216704\", alpha=\"0.09\", expect_size=\"27108352\"] \n  8 -> 9 [size =\"27108352\"]\n  9 [size=\"25210880\", alpha=\"0.13\", expect_size=\"12605440\"] \n  9 -> 10 [size =\"12605440\"]\n  10 [size=\"36708352\", alpha=\"0.20\", expect_size=\"18354176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53585920\", alpha=\"0.17\", expect_size=\"16075776\"] \n  2 [size=\"46544213\", alpha=\"0.07\", expect_size=\"13963264\"] \n  3 [size=\"37099520\", alpha=\"0.17\", expect_size=\"11129856\"] \n  4 [size=\"147776853\", alpha=\"0.10\", expect_size=\"44333056\"] \n  5 [size=\"37399893\", alpha=\"0.07\", expect_size=\"11219968\"] \n  6 [size=\"108840960\", alpha=\"0.14\", expect_size=\"32652288\"] \n  7 [size=\"68345173\", alpha=\"0.13\", expect_size=\"20503552\"] \n  8 [size=\"117558613\", alpha=\"0.11\", expect_size=\"35267584\"] \n  9 [size=\"142339413\", alpha=\"0.12\", expect_size=\"42701824\"] \n  10 [size=\"74069333\", alpha=\"0.15\", expect_size=\"22220800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44933120\", alpha=\"0.11\", expect_size=\"13479936\"] \n  2 [size=\"108175360\", alpha=\"0.04\", expect_size=\"32452608\"] \n  2 -> 10 [size =\"32452608\"]\n  3 [size=\"101416960\", alpha=\"0.17\", expect_size=\"30425088\"] \n  3 -> 10 [size =\"30425088\"]\n  4 [size=\"22688427\", alpha=\"0.05\", expect_size=\"6806528\"] \n  4 -> 9 [size =\"6806528\"]\n  4 -> 10 [size =\"6806528\"]\n  5 [size=\"19363840\", alpha=\"0.19\", expect_size=\"5809152\"] \n  5 -> 10 [size =\"5809152\"]\n  6 [size=\"168840533\", alpha=\"0.03\", expect_size=\"50652160\"] \n  6 -> 10 [size =\"50652160\"]\n  7 [size=\"120883200\", alpha=\"0.01\", expect_size=\"36264960\"] \n  8 [size=\"156200960\", alpha=\"0.15\", expect_size=\"46860288\"] \n  9 [size=\"132857173\", alpha=\"0.11\", expect_size=\"39857152\"] \n  10 [size=\"68406613\", alpha=\"0.05\", expect_size=\"20521984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56645120\", alpha=\"0.12\", expect_size=\"22658048\"] \n  1 -> 2 [size =\"22658048\"]\n  2 [size=\"111828480\", alpha=\"0.14\", expect_size=\"44731392\"] \n  2 -> 3 [size =\"44731392\"]\n  3 [size=\"108743680\", alpha=\"0.09\", expect_size=\"43497472\"] \n  3 -> 4 [size =\"43497472\"]\n  4 [size=\"128069120\", alpha=\"0.07\", expect_size=\"51227648\"] \n  4 -> 5 [size =\"51227648\"]\n  5 [size=\"125365760\", alpha=\"0.20\", expect_size=\"50146304\"] \n  5 -> 6 [size =\"50146304\"]\n  6 [size=\"38520320\", alpha=\"0.08\", expect_size=\"15408128\"] \n  6 -> 7 [size =\"15408128\"]\n  7 [size=\"99745280\", alpha=\"0.14\", expect_size=\"39898112\"] \n  7 -> 8 [size =\"39898112\"]\n  8 [size=\"91394560\", alpha=\"0.20\", expect_size=\"36557824\"] \n  8 -> 9 [size =\"36557824\"]\n  9 [size=\"104581120\", alpha=\"0.20\", expect_size=\"41832448\"] \n  9 -> 10 [size =\"41832448\"]\n  10 [size=\"79349760\", alpha=\"0.03\", expect_size=\"31739904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117568000\", alpha=\"0.08\", expect_size=\"47027200\"] \n  1 -> 2 [size =\"47027200\"]\n  2 [size=\"123722240\", alpha=\"0.02\", expect_size=\"49488896\"] \n  2 -> 3 [size =\"49488896\"]\n  3 [size=\"33277440\", alpha=\"0.17\", expect_size=\"13310976\"] \n  3 -> 4 [size =\"13310976\"]\n  4 [size=\"106895360\", alpha=\"0.19\", expect_size=\"42758144\"] \n  4 -> 5 [size =\"42758144\"]\n  5 [size=\"113832960\", alpha=\"0.19\", expect_size=\"45533184\"] \n  5 -> 6 [size =\"45533184\"]\n  6 [size=\"33210880\", alpha=\"0.15\", expect_size=\"13284352\"] \n  6 -> 7 [size =\"13284352\"]\n  7 [size=\"121118720\", alpha=\"0.18\", expect_size=\"48447488\"] \n  7 -> 8 [size =\"48447488\"]\n  8 [size=\"20334080\", alpha=\"0.06\", expect_size=\"8133632\"] \n  8 -> 9 [size =\"8133632\"]\n  9 [size=\"50012160\", alpha=\"0.15\", expect_size=\"20004864\"] \n  9 -> 10 [size =\"20004864\"]\n  10 [size=\"50918400\", alpha=\"0.10\", expect_size=\"20367360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75714560\", alpha=\"0.02\", expect_size=\"37857280\"] \n  1 -> 2 [size =\"37857280\"]\n  2 [size=\"57606144\", alpha=\"0.10\", expect_size=\"28803072\"] \n  2 -> 3 [size =\"28803072\"]\n  3 [size=\"77563904\", alpha=\"0.04\", expect_size=\"38781952\"] \n  3 -> 4 [size =\"38781952\"]\n  4 [size=\"65439744\", alpha=\"0.13\", expect_size=\"32719872\"] \n  4 -> 5 [size =\"32719872\"]\n  5 [size=\"55646208\", alpha=\"0.03\", expect_size=\"27823104\"] \n  5 -> 6 [size =\"27823104\"]\n  6 [size=\"85735424\", alpha=\"0.02\", expect_size=\"42867712\"] \n  6 -> 7 [size =\"42867712\"]\n  7 [size=\"93001728\", alpha=\"0.09\", expect_size=\"46500864\"] \n  7 -> 8 [size =\"46500864\"]\n  8 [size=\"34836480\", alpha=\"0.15\", expect_size=\"17418240\"] \n  8 -> 9 [size =\"17418240\"]\n  9 [size=\"29546496\", alpha=\"0.17\", expect_size=\"14773248\"] \n  9 -> 10 [size =\"14773248\"]\n  10 [size=\"83873792\", alpha=\"0.06\", expect_size=\"41936896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21048320\", alpha=\"0.19\", expect_size=\"8419328\"] \n  1 -> 3 [size =\"8419328\"]\n  1 -> 4 [size =\"8419328\"]\n  2 [size=\"25835520\", alpha=\"0.10\", expect_size=\"10334208\"] \n  2 -> 3 [size =\"10334208\"]\n  2 -> 4 [size =\"10334208\"]\n  3 [size=\"16893440\", alpha=\"0.09\", expect_size=\"6757376\"] \n  3 -> 6 [size =\"6757376\"]\n  3 -> 7 [size =\"6757376\"]\n  4 [size=\"60753920\", alpha=\"0.20\", expect_size=\"24301568\"] \n  4 -> 5 [size =\"24301568\"]\n  4 -> 6 [size =\"24301568\"]\n  4 -> 7 [size =\"24301568\"]\n  5 [size=\"62359040\", alpha=\"0.07\", expect_size=\"24943616\"] \n  5 -> 8 [size =\"24943616\"]\n  5 -> 9 [size =\"24943616\"]\n  6 [size=\"19699200\", alpha=\"0.08\", expect_size=\"7879680\"] \n  6 -> 8 [size =\"7879680\"]\n  6 -> 10 [size =\"7879680\"]\n  7 [size=\"127065600\", alpha=\"0.03\", expect_size=\"50826240\"] \n  7 -> 8 [size =\"50826240\"]\n  7 -> 9 [size =\"50826240\"]\n  8 [size=\"14574080\", alpha=\"0.16\", expect_size=\"5829632\"] \n  9 [size=\"45580800\", alpha=\"0.14\", expect_size=\"18232320\"] \n  10 [size=\"61931520\", alpha=\"0.04\", expect_size=\"24772608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96319488\", alpha=\"0.04\", expect_size=\"48159744\"] \n  1 -> 2 [size =\"48159744\"]\n  2 [size=\"62144512\", alpha=\"0.01\", expect_size=\"31072256\"] \n  2 -> 3 [size =\"31072256\"]\n  3 [size=\"61597696\", alpha=\"0.04\", expect_size=\"30798848\"] \n  3 -> 4 [size =\"30798848\"]\n  4 [size=\"69713920\", alpha=\"0.12\", expect_size=\"34856960\"] \n  4 -> 5 [size =\"34856960\"]\n  5 [size=\"83152896\", alpha=\"0.18\", expect_size=\"41576448\"] \n  5 -> 6 [size =\"41576448\"]\n  6 [size=\"71016448\", alpha=\"0.03\", expect_size=\"35508224\"] \n  6 -> 7 [size =\"35508224\"]\n  7 [size=\"21350400\", alpha=\"0.13\", expect_size=\"10675200\"] \n  7 -> 8 [size =\"10675200\"]\n  8 [size=\"102942720\", alpha=\"0.13\", expect_size=\"51471360\"] \n  8 -> 9 [size =\"51471360\"]\n  9 [size=\"45776896\", alpha=\"0.01\", expect_size=\"22888448\"] \n  9 -> 10 [size =\"22888448\"]\n  10 [size=\"20516864\", alpha=\"0.08\", expect_size=\"10258432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21896533\", alpha=\"0.19\", expect_size=\"6568960\"] \n  1 -> 5 [size =\"6568960\"]\n  2 [size=\"29856427\", alpha=\"0.14\", expect_size=\"8956928\"] \n  2 -> 5 [size =\"8956928\"]\n  3 [size=\"163375787\", alpha=\"0.20\", expect_size=\"49012736\"] \n  3 -> 4 [size =\"49012736\"]\n  3 -> 6 [size =\"49012736\"]\n  4 [size=\"41062400\", alpha=\"0.19\", expect_size=\"12318720\"] \n  5 [size=\"80981333\", alpha=\"0.02\", expect_size=\"24294400\"] \n  5 -> 7 [size =\"24294400\"]\n  6 [size=\"166925653\", alpha=\"0.04\", expect_size=\"50077696\"] \n  6 -> 7 [size =\"50077696\"]\n  6 -> 8 [size =\"50077696\"]\n  7 [size=\"44939947\", alpha=\"0.07\", expect_size=\"13481984\"] \n  7 -> 9 [size =\"13481984\"]\n  8 [size=\"111714987\", alpha=\"0.01\", expect_size=\"33514496\"] \n  8 -> 10 [size =\"33514496\"]\n  9 [size=\"64610987\", alpha=\"0.18\", expect_size=\"19383296\"] \n  10 [size=\"156136107\", alpha=\"0.20\", expect_size=\"46840832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95641600\", alpha=\"0.08\", expect_size=\"38256640\"] \n  2 [size=\"105500160\", alpha=\"0.03\", expect_size=\"42200064\"] \n  3 [size=\"23324160\", alpha=\"0.09\", expect_size=\"9329664\"] \n  4 [size=\"89753600\", alpha=\"0.05\", expect_size=\"35901440\"] \n  5 [size=\"122237440\", alpha=\"0.15\", expect_size=\"48894976\"] \n  5 -> 10 [size =\"48894976\"]\n  6 [size=\"25059840\", alpha=\"0.05\", expect_size=\"10023936\"] \n  6 -> 10 [size =\"10023936\"]\n  7 [size=\"57502720\", alpha=\"0.01\", expect_size=\"23001088\"] \n  8 [size=\"23383040\", alpha=\"0.11\", expect_size=\"9353216\"] \n  9 [size=\"51253760\", alpha=\"0.19\", expect_size=\"20501504\"] \n  10 [size=\"125414400\", alpha=\"0.15\", expect_size=\"50165760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169861120\", alpha=\"0.02\", expect_size=\"50958336\"] \n  1 -> 2 [size =\"50958336\"]\n  2 [size=\"152890027\", alpha=\"0.16\", expect_size=\"45867008\"] \n  2 -> 3 [size =\"45867008\"]\n  3 [size=\"117306027\", alpha=\"0.18\", expect_size=\"35191808\"] \n  3 -> 4 [size =\"35191808\"]\n  4 [size=\"112295253\", alpha=\"0.08\", expect_size=\"33688576\"] \n  4 -> 5 [size =\"33688576\"]\n  5 [size=\"94880427\", alpha=\"0.16\", expect_size=\"28464128\"] \n  5 -> 6 [size =\"28464128\"]\n  6 [size=\"99857067\", alpha=\"0.17\", expect_size=\"29957120\"] \n  6 -> 7 [size =\"29957120\"]\n  7 [size=\"124200960\", alpha=\"0.18\", expect_size=\"37260288\"] \n  7 -> 8 [size =\"37260288\"]\n  8 [size=\"48223573\", alpha=\"0.04\", expect_size=\"14467072\"] \n  8 -> 9 [size =\"14467072\"]\n  9 [size=\"19541333\", alpha=\"0.08\", expect_size=\"5862400\"] \n  9 -> 10 [size =\"5862400\"]\n  10 [size=\"161423360\", alpha=\"0.03\", expect_size=\"48427008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23138304\", alpha=\"0.12\", expect_size=\"11569152\"] \n  1 -> 4 [size =\"11569152\"]\n  1 -> 5 [size =\"11569152\"]\n  2 [size=\"43587584\", alpha=\"0.15\", expect_size=\"21793792\"] \n  2 -> 4 [size =\"21793792\"]\n  3 [size=\"103577600\", alpha=\"0.08\", expect_size=\"51788800\"] \n  4 [size=\"101341184\", alpha=\"0.04\", expect_size=\"50670592\"] \n  4 -> 7 [size =\"50670592\"]\n  5 [size=\"57264128\", alpha=\"0.06\", expect_size=\"28632064\"] \n  5 -> 6 [size =\"28632064\"]\n  5 -> 7 [size =\"28632064\"]\n  5 -> 8 [size =\"28632064\"]\n  6 [size=\"97656832\", alpha=\"0.01\", expect_size=\"48828416\"] \n  6 -> 9 [size =\"48828416\"]\n  7 [size=\"94871552\", alpha=\"0.15\", expect_size=\"47435776\"] \n  7 -> 10 [size =\"47435776\"]\n  8 [size=\"102772736\", alpha=\"0.15\", expect_size=\"51386368\"] \n  8 -> 9 [size =\"51386368\"]\n  9 [size=\"44269568\", alpha=\"0.12\", expect_size=\"22134784\"] \n  10 [size=\"19007488\", alpha=\"0.10\", expect_size=\"9503744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58363904\", alpha=\"0.14\", expect_size=\"29181952\"] \n  1 -> 2 [size =\"29181952\"]\n  2 [size=\"64174080\", alpha=\"0.13\", expect_size=\"32087040\"] \n  2 -> 3 [size =\"32087040\"]\n  3 [size=\"91867136\", alpha=\"0.13\", expect_size=\"45933568\"] \n  3 -> 4 [size =\"45933568\"]\n  4 [size=\"34252800\", alpha=\"0.03\", expect_size=\"17126400\"] \n  4 -> 5 [size =\"17126400\"]\n  5 [size=\"39321600\", alpha=\"0.14\", expect_size=\"19660800\"] \n  5 -> 6 [size =\"19660800\"]\n  6 [size=\"52367360\", alpha=\"0.03\", expect_size=\"26183680\"] \n  6 -> 7 [size =\"26183680\"]\n  7 [size=\"15405056\", alpha=\"0.17\", expect_size=\"7702528\"] \n  7 -> 8 [size =\"7702528\"]\n  8 [size=\"57982976\", alpha=\"0.17\", expect_size=\"28991488\"] \n  8 -> 9 [size =\"28991488\"]\n  9 [size=\"67313664\", alpha=\"0.20\", expect_size=\"33656832\"] \n  9 -> 10 [size =\"33656832\"]\n  10 [size=\"100067328\", alpha=\"0.08\", expect_size=\"50033664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32565248\", alpha=\"0.11\", expect_size=\"16282624\"] \n  1 -> 5 [size =\"16282624\"]\n  1 -> 6 [size =\"16282624\"]\n  2 [size=\"63612928\", alpha=\"0.11\", expect_size=\"31806464\"] \n  2 -> 5 [size =\"31806464\"]\n  2 -> 7 [size =\"31806464\"]\n  2 -> 8 [size =\"31806464\"]\n  2 -> 9 [size =\"31806464\"]\n  3 [size=\"64081920\", alpha=\"0.19\", expect_size=\"32040960\"] \n  3 -> 4 [size =\"32040960\"]\n  3 -> 8 [size =\"32040960\"]\n  3 -> 9 [size =\"32040960\"]\n  4 [size=\"11118592\", alpha=\"0.17\", expect_size=\"5559296\"] \n  4 -> 10 [size =\"5559296\"]\n  5 [size=\"15564800\", alpha=\"0.04\", expect_size=\"7782400\"] \n  5 -> 10 [size =\"7782400\"]\n  6 [size=\"61696000\", alpha=\"0.09\", expect_size=\"30848000\"] \n  6 -> 10 [size =\"30848000\"]\n  7 [size=\"79929344\", alpha=\"0.11\", expect_size=\"39964672\"] \n  8 [size=\"72622080\", alpha=\"0.10\", expect_size=\"36311040\"] \n  8 -> 10 [size =\"36311040\"]\n  9 [size=\"59176960\", alpha=\"0.20\", expect_size=\"29588480\"] \n  9 -> 10 [size =\"29588480\"]\n  10 [size=\"15675392\", alpha=\"0.20\", expect_size=\"7837696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103109973\", alpha=\"0.06\", expect_size=\"30932992\"] \n  1 -> 2 [size =\"30932992\"]\n  2 [size=\"139383467\", alpha=\"0.10\", expect_size=\"41815040\"] \n  2 -> 3 [size =\"41815040\"]\n  3 [size=\"31262720\", alpha=\"0.09\", expect_size=\"9378816\"] \n  3 -> 4 [size =\"9378816\"]\n  4 [size=\"80066560\", alpha=\"0.17\", expect_size=\"24019968\"] \n  4 -> 5 [size =\"24019968\"]\n  5 [size=\"35621547\", alpha=\"0.13\", expect_size=\"10686464\"] \n  5 -> 6 [size =\"10686464\"]\n  6 [size=\"152647680\", alpha=\"0.19\", expect_size=\"45794304\"] \n  6 -> 7 [size =\"45794304\"]\n  7 [size=\"162245973\", alpha=\"0.06\", expect_size=\"48673792\"] \n  7 -> 8 [size =\"48673792\"]\n  8 [size=\"144063147\", alpha=\"0.11\", expect_size=\"43218944\"] \n  8 -> 9 [size =\"43218944\"]\n  9 [size=\"125033813\", alpha=\"0.01\", expect_size=\"37510144\"] \n  9 -> 10 [size =\"37510144\"]\n  10 [size=\"170786133\", alpha=\"0.04\", expect_size=\"51235840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89194496\", alpha=\"0.02\", expect_size=\"44597248\"] \n  1 -> 8 [size =\"44597248\"]\n  2 [size=\"98852864\", alpha=\"0.04\", expect_size=\"49426432\"] \n  2 -> 8 [size =\"49426432\"]\n  3 [size=\"34703360\", alpha=\"0.01\", expect_size=\"17351680\"] \n  4 [size=\"66891776\", alpha=\"0.07\", expect_size=\"33445888\"] \n  5 [size=\"88903680\", alpha=\"0.19\", expect_size=\"44451840\"] \n  5 -> 10 [size =\"44451840\"]\n  6 [size=\"84168704\", alpha=\"0.04\", expect_size=\"42084352\"] \n  6 -> 9 [size =\"42084352\"]\n  7 [size=\"81735680\", alpha=\"0.00\", expect_size=\"40867840\"] \n  7 -> 8 [size =\"40867840\"]\n  7 -> 10 [size =\"40867840\"]\n  8 [size=\"62709760\", alpha=\"0.06\", expect_size=\"31354880\"] \n  9 [size=\"44126208\", alpha=\"0.02\", expect_size=\"22063104\"] \n  10 [size=\"32921600\", alpha=\"0.14\", expect_size=\"16460800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109134507\", alpha=\"0.18\", expect_size=\"32740352\"] \n  1 -> 2 [size =\"32740352\"]\n  2 [size=\"172035413\", alpha=\"0.16\", expect_size=\"51610624\"] \n  2 -> 3 [size =\"51610624\"]\n  3 [size=\"145609387\", alpha=\"0.14\", expect_size=\"43682816\"] \n  3 -> 4 [size =\"43682816\"]\n  4 [size=\"24692053\", alpha=\"0.11\", expect_size=\"7407616\"] \n  4 -> 5 [size =\"7407616\"]\n  5 [size=\"84660907\", alpha=\"0.11\", expect_size=\"25398272\"] \n  5 -> 6 [size =\"25398272\"]\n  6 [size=\"61037227\", alpha=\"0.14\", expect_size=\"18311168\"] \n  6 -> 7 [size =\"18311168\"]\n  7 [size=\"141810347\", alpha=\"0.15\", expect_size=\"42543104\"] \n  7 -> 8 [size =\"42543104\"]\n  8 [size=\"34416640\", alpha=\"0.14\", expect_size=\"10324992\"] \n  8 -> 9 [size =\"10324992\"]\n  9 [size=\"137980587\", alpha=\"0.02\", expect_size=\"41394176\"] \n  9 -> 10 [size =\"41394176\"]\n  10 [size=\"96078507\", alpha=\"0.19\", expect_size=\"28823552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63102976\", alpha=\"0.05\", expect_size=\"31551488\"] \n  1 -> 2 [size =\"31551488\"]\n  2 [size=\"11915264\", alpha=\"0.18\", expect_size=\"5957632\"] \n  2 -> 3 [size =\"5957632\"]\n  3 [size=\"37834752\", alpha=\"0.05\", expect_size=\"18917376\"] \n  3 -> 4 [size =\"18917376\"]\n  4 [size=\"47316992\", alpha=\"0.10\", expect_size=\"23658496\"] \n  4 -> 5 [size =\"23658496\"]\n  5 [size=\"46753792\", alpha=\"0.02\", expect_size=\"23376896\"] \n  5 -> 6 [size =\"23376896\"]\n  6 [size=\"103538688\", alpha=\"0.14\", expect_size=\"51769344\"] \n  6 -> 7 [size =\"51769344\"]\n  7 [size=\"55601152\", alpha=\"0.09\", expect_size=\"27800576\"] \n  7 -> 8 [size =\"27800576\"]\n  8 [size=\"89442304\", alpha=\"0.11\", expect_size=\"44721152\"] \n  8 -> 9 [size =\"44721152\"]\n  9 [size=\"35272704\", alpha=\"0.06\", expect_size=\"17636352\"] \n  9 -> 10 [size =\"17636352\"]\n  10 [size=\"96897024\", alpha=\"0.03\", expect_size=\"48448512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42577920\", alpha=\"0.09\", expect_size=\"21288960\"] \n  1 -> 5 [size =\"21288960\"]\n  2 [size=\"94324736\", alpha=\"0.05\", expect_size=\"47162368\"] \n  2 -> 4 [size =\"47162368\"]\n  2 -> 6 [size =\"47162368\"]\n  3 [size=\"66832384\", alpha=\"0.04\", expect_size=\"33416192\"] \n  3 -> 4 [size =\"33416192\"]\n  4 [size=\"18104320\", alpha=\"0.15\", expect_size=\"9052160\"] \n  4 -> 8 [size =\"9052160\"]\n  5 [size=\"26660864\", alpha=\"0.02\", expect_size=\"13330432\"] \n  5 -> 8 [size =\"13330432\"]\n  6 [size=\"44648448\", alpha=\"0.04\", expect_size=\"22324224\"] \n  6 -> 7 [size =\"22324224\"]\n  7 [size=\"88242176\", alpha=\"0.00\", expect_size=\"44121088\"] \n  7 -> 9 [size =\"44121088\"]\n  7 -> 10 [size =\"44121088\"]\n  8 [size=\"78931968\", alpha=\"0.12\", expect_size=\"39465984\"] \n  9 [size=\"54237184\", alpha=\"0.10\", expect_size=\"27118592\"] \n  10 [size=\"104443904\", alpha=\"0.11\", expect_size=\"52221952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30119936\", alpha=\"0.03\", expect_size=\"15059968\"] \n  1 -> 3 [size =\"15059968\"]\n  2 [size=\"102813696\", alpha=\"0.08\", expect_size=\"51406848\"] \n  2 -> 4 [size =\"51406848\"]\n  2 -> 5 [size =\"51406848\"]\n  3 [size=\"21420032\", alpha=\"0.00\", expect_size=\"10710016\"] \n  3 -> 6 [size =\"10710016\"]\n  3 -> 7 [size =\"10710016\"]\n  4 [size=\"75042816\", alpha=\"0.03\", expect_size=\"37521408\"] \n  4 -> 6 [size =\"37521408\"]\n  4 -> 7 [size =\"37521408\"]\n  4 -> 8 [size =\"37521408\"]\n  5 [size=\"60911616\", alpha=\"0.20\", expect_size=\"30455808\"] \n  6 [size=\"75155456\", alpha=\"0.06\", expect_size=\"37577728\"] \n  6 -> 10 [size =\"37577728\"]\n  7 [size=\"32094208\", alpha=\"0.09\", expect_size=\"16047104\"] \n  8 [size=\"74944512\", alpha=\"0.19\", expect_size=\"37472256\"] \n  8 -> 9 [size =\"37472256\"]\n  9 [size=\"24397824\", alpha=\"0.04\", expect_size=\"12198912\"] \n  10 [size=\"47820800\", alpha=\"0.17\", expect_size=\"23910400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23562240\", alpha=\"0.17\", expect_size=\"11781120\"] \n  1 -> 2 [size =\"11781120\"]\n  2 [size=\"85231616\", alpha=\"0.11\", expect_size=\"42615808\"] \n  2 -> 3 [size =\"42615808\"]\n  3 [size=\"48492544\", alpha=\"0.17\", expect_size=\"24246272\"] \n  3 -> 4 [size =\"24246272\"]\n  4 [size=\"59090944\", alpha=\"0.08\", expect_size=\"29545472\"] \n  4 -> 5 [size =\"29545472\"]\n  5 [size=\"71045120\", alpha=\"0.18\", expect_size=\"35522560\"] \n  5 -> 6 [size =\"35522560\"]\n  6 [size=\"71821312\", alpha=\"0.07\", expect_size=\"35910656\"] \n  6 -> 7 [size =\"35910656\"]\n  7 [size=\"42772480\", alpha=\"0.09\", expect_size=\"21386240\"] \n  7 -> 8 [size =\"21386240\"]\n  8 [size=\"86792192\", alpha=\"0.04\", expect_size=\"43396096\"] \n  8 -> 9 [size =\"43396096\"]\n  9 [size=\"94140416\", alpha=\"0.08\", expect_size=\"47070208\"] \n  9 -> 10 [size =\"47070208\"]\n  10 [size=\"84539392\", alpha=\"0.13\", expect_size=\"42269696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30863360\", alpha=\"0.13\", expect_size=\"15431680\"] \n  1 -> 5 [size =\"15431680\"]\n  1 -> 9 [size =\"15431680\"]\n  2 [size=\"68784128\", alpha=\"0.06\", expect_size=\"34392064\"] \n  2 -> 6 [size =\"34392064\"]\n  2 -> 7 [size =\"34392064\"]\n  2 -> 8 [size =\"34392064\"]\n  3 [size=\"34445312\", alpha=\"0.14\", expect_size=\"17222656\"] \n  3 -> 8 [size =\"17222656\"]\n  4 [size=\"69523456\", alpha=\"0.15\", expect_size=\"34761728\"] \n  4 -> 8 [size =\"34761728\"]\n  5 [size=\"103839744\", alpha=\"0.18\", expect_size=\"51919872\"] \n  6 [size=\"81133568\", alpha=\"0.09\", expect_size=\"40566784\"] \n  7 [size=\"104497152\", alpha=\"0.15\", expect_size=\"52248576\"] \n  8 [size=\"45758464\", alpha=\"0.09\", expect_size=\"22879232\"] \n  9 [size=\"34408448\", alpha=\"0.07\", expect_size=\"17204224\"] \n  9 -> 10 [size =\"17204224\"]\n  10 [size=\"74555392\", alpha=\"0.03\", expect_size=\"37277696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43799893\", alpha=\"0.18\", expect_size=\"13139968\"] \n  1 -> 2 [size =\"13139968\"]\n  2 [size=\"94296747\", alpha=\"0.18\", expect_size=\"28289024\"] \n  2 -> 3 [size =\"28289024\"]\n  3 [size=\"35805867\", alpha=\"0.13\", expect_size=\"10741760\"] \n  3 -> 4 [size =\"10741760\"]\n  4 [size=\"119326720\", alpha=\"0.02\", expect_size=\"35798016\"] \n  4 -> 5 [size =\"35798016\"]\n  5 [size=\"164621653\", alpha=\"0.06\", expect_size=\"49386496\"] \n  5 -> 6 [size =\"49386496\"]\n  6 [size=\"24811520\", alpha=\"0.13\", expect_size=\"7443456\"] \n  6 -> 7 [size =\"7443456\"]\n  7 [size=\"125696000\", alpha=\"0.18\", expect_size=\"37708800\"] \n  7 -> 8 [size =\"37708800\"]\n  8 [size=\"109267627\", alpha=\"0.07\", expect_size=\"32780288\"] \n  8 -> 9 [size =\"32780288\"]\n  9 [size=\"86155947\", alpha=\"0.19\", expect_size=\"25846784\"] \n  9 -> 10 [size =\"25846784\"]\n  10 [size=\"139028480\", alpha=\"0.07\", expect_size=\"41708544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71232000\", alpha=\"0.10\", expect_size=\"28492800\"] \n  1 -> 4 [size =\"28492800\"]\n  1 -> 6 [size =\"28492800\"]\n  1 -> 7 [size =\"28492800\"]\n  2 [size=\"19891200\", alpha=\"0.01\", expect_size=\"7956480\"] \n  2 -> 4 [size =\"7956480\"]\n  2 -> 6 [size =\"7956480\"]\n  2 -> 7 [size =\"7956480\"]\n  3 [size=\"82406400\", alpha=\"0.17\", expect_size=\"32962560\"] \n  3 -> 4 [size =\"32962560\"]\n  3 -> 5 [size =\"32962560\"]\n  3 -> 6 [size =\"32962560\"]\n  3 -> 7 [size =\"32962560\"]\n  4 [size=\"98611200\", alpha=\"0.14\", expect_size=\"39444480\"] \n  4 -> 9 [size =\"39444480\"]\n  4 -> 9 [size =\"39444480\"]\n  4 -> 10 [size =\"39444480\"]\n  5 [size=\"109928960\", alpha=\"0.09\", expect_size=\"43971584\"] \n  5 -> 8 [size =\"43971584\"]\n  5 -> 10 [size =\"43971584\"]\n  6 [size=\"14702080\", alpha=\"0.15\", expect_size=\"5880832\"] \n  6 -> 8 [size =\"5880832\"]\n  6 -> 9 [size =\"5880832\"]\n  7 [size=\"96156160\", alpha=\"0.05\", expect_size=\"38462464\"] \n  7 -> 8 [size =\"38462464\"]\n  7 -> 9 [size =\"38462464\"]\n  8 [size=\"46346240\", alpha=\"0.16\", expect_size=\"18538496\"] \n  9 [size=\"74874880\", alpha=\"0.12\", expect_size=\"29949952\"] \n  10 [size=\"28372480\", alpha=\"0.01\", expect_size=\"11348992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96883200\", alpha=\"0.01\", expect_size=\"38753280\"] \n  1 -> 2 [size =\"38753280\"]\n  2 [size=\"36876800\", alpha=\"0.05\", expect_size=\"14750720\"] \n  2 -> 3 [size =\"14750720\"]\n  3 [size=\"54423040\", alpha=\"0.08\", expect_size=\"21769216\"] \n  3 -> 4 [size =\"21769216\"]\n  4 [size=\"107919360\", alpha=\"0.16\", expect_size=\"43167744\"] \n  4 -> 5 [size =\"43167744\"]\n  5 [size=\"43476480\", alpha=\"0.15\", expect_size=\"17390592\"] \n  5 -> 6 [size =\"17390592\"]\n  6 [size=\"69345280\", alpha=\"0.09\", expect_size=\"27738112\"] \n  6 -> 7 [size =\"27738112\"]\n  7 [size=\"21793280\", alpha=\"0.18\", expect_size=\"8717312\"] \n  7 -> 8 [size =\"8717312\"]\n  8 [size=\"60963840\", alpha=\"0.11\", expect_size=\"24385536\"] \n  8 -> 9 [size =\"24385536\"]\n  9 [size=\"77127680\", alpha=\"0.01\", expect_size=\"30851072\"] \n  9 -> 10 [size =\"30851072\"]\n  10 [size=\"51699200\", alpha=\"0.13\", expect_size=\"20679680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139704320\", alpha=\"0.18\", expect_size=\"41911296\"] \n  1 -> 6 [size =\"41911296\"]\n  1 -> 7 [size =\"41911296\"]\n  2 [size=\"97129813\", alpha=\"0.15\", expect_size=\"29138944\"] \n  2 -> 6 [size =\"29138944\"]\n  3 [size=\"164078933\", alpha=\"0.10\", expect_size=\"49223680\"] \n  3 -> 7 [size =\"49223680\"]\n  4 [size=\"149189973\", alpha=\"0.04\", expect_size=\"44756992\"] \n  5 [size=\"43960320\", alpha=\"0.01\", expect_size=\"13188096\"] \n  5 -> 6 [size =\"13188096\"]\n  5 -> 7 [size =\"13188096\"]\n  6 [size=\"142960640\", alpha=\"0.01\", expect_size=\"42888192\"] \n  6 -> 8 [size =\"42888192\"]\n  6 -> 9 [size =\"42888192\"]\n  6 -> 10 [size =\"42888192\"]\n  7 [size=\"164560213\", alpha=\"0.05\", expect_size=\"49368064\"] \n  7 -> 8 [size =\"49368064\"]\n  7 -> 9 [size =\"49368064\"]\n  7 -> 10 [size =\"49368064\"]\n  8 [size=\"51722240\", alpha=\"0.13\", expect_size=\"15516672\"] \n  9 [size=\"147592533\", alpha=\"0.18\", expect_size=\"44277760\"] \n  10 [size=\"36355413\", alpha=\"0.20\", expect_size=\"10906624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105569280\", alpha=\"0.15\", expect_size=\"42227712\"] \n  2 [size=\"84802560\", alpha=\"0.12\", expect_size=\"33921024\"] \n  2 -> 5 [size =\"33921024\"]\n  3 [size=\"101250560\", alpha=\"0.13\", expect_size=\"40500224\"] \n  3 -> 4 [size =\"40500224\"]\n  4 [size=\"61160960\", alpha=\"0.02\", expect_size=\"24464384\"] \n  4 -> 6 [size =\"24464384\"]\n  4 -> 7 [size =\"24464384\"]\n  5 [size=\"21946880\", alpha=\"0.04\", expect_size=\"8778752\"] \n  6 [size=\"125030400\", alpha=\"0.01\", expect_size=\"50012160\"] \n  6 -> 9 [size =\"50012160\"]\n  6 -> 10 [size =\"50012160\"]\n  7 [size=\"79838720\", alpha=\"0.13\", expect_size=\"31935488\"] \n  7 -> 8 [size =\"31935488\"]\n  8 [size=\"59123200\", alpha=\"0.04\", expect_size=\"23649280\"] \n  9 [size=\"64867840\", alpha=\"0.17\", expect_size=\"25947136\"] \n  10 [size=\"37050880\", alpha=\"0.05\", expect_size=\"14820352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59238400\", alpha=\"0.19\", expect_size=\"17771520\"] \n  1 -> 2 [size =\"17771520\"]\n  2 [size=\"97768107\", alpha=\"0.00\", expect_size=\"29330432\"] \n  2 -> 3 [size =\"29330432\"]\n  3 [size=\"86374400\", alpha=\"0.11\", expect_size=\"25912320\"] \n  3 -> 4 [size =\"25912320\"]\n  4 [size=\"139025067\", alpha=\"0.03\", expect_size=\"41707520\"] \n  4 -> 5 [size =\"41707520\"]\n  5 [size=\"170400427\", alpha=\"0.03\", expect_size=\"51120128\"] \n  5 -> 6 [size =\"51120128\"]\n  6 [size=\"72587947\", alpha=\"0.02\", expect_size=\"21776384\"] \n  6 -> 7 [size =\"21776384\"]\n  7 [size=\"116015787\", alpha=\"0.02\", expect_size=\"34804736\"] \n  7 -> 8 [size =\"34804736\"]\n  8 [size=\"34553173\", alpha=\"0.01\", expect_size=\"10365952\"] \n  8 -> 9 [size =\"10365952\"]\n  9 [size=\"122234880\", alpha=\"0.07\", expect_size=\"36670464\"] \n  9 -> 10 [size =\"36670464\"]\n  10 [size=\"35788800\", alpha=\"0.07\", expect_size=\"10736640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108786347\", alpha=\"0.11\", expect_size=\"32635904\"] \n  1 -> 2 [size =\"32635904\"]\n  2 [size=\"36925440\", alpha=\"0.07\", expect_size=\"11077632\"] \n  2 -> 3 [size =\"11077632\"]\n  3 [size=\"121142613\", alpha=\"0.03\", expect_size=\"36342784\"] \n  3 -> 4 [size =\"36342784\"]\n  4 [size=\"130938880\", alpha=\"0.13\", expect_size=\"39281664\"] \n  4 -> 5 [size =\"39281664\"]\n  5 [size=\"143144960\", alpha=\"0.02\", expect_size=\"42943488\"] \n  5 -> 6 [size =\"42943488\"]\n  6 [size=\"167772160\", alpha=\"0.12\", expect_size=\"50331648\"] \n  6 -> 7 [size =\"50331648\"]\n  7 [size=\"123845973\", alpha=\"0.04\", expect_size=\"37153792\"] \n  7 -> 8 [size =\"37153792\"]\n  8 [size=\"136106667\", alpha=\"0.08\", expect_size=\"40832000\"] \n  8 -> 9 [size =\"40832000\"]\n  9 [size=\"147002027\", alpha=\"0.02\", expect_size=\"44100608\"] \n  9 -> 10 [size =\"44100608\"]\n  10 [size=\"49268053\", alpha=\"0.11\", expect_size=\"14780416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19255296\", alpha=\"0.00\", expect_size=\"9627648\"] \n  1 -> 9 [size =\"9627648\"]\n  2 [size=\"79439872\", alpha=\"0.16\", expect_size=\"39719936\"] \n  2 -> 9 [size =\"39719936\"]\n  2 -> 10 [size =\"39719936\"]\n  3 [size=\"65413120\", alpha=\"0.06\", expect_size=\"32706560\"] \n  3 -> 8 [size =\"32706560\"]\n  3 -> 9 [size =\"32706560\"]\n  3 -> 10 [size =\"32706560\"]\n  4 [size=\"102576128\", alpha=\"0.02\", expect_size=\"51288064\"] \n  4 -> 10 [size =\"51288064\"]\n  5 [size=\"21882880\", alpha=\"0.16\", expect_size=\"10941440\"] \n  5 -> 8 [size =\"10941440\"]\n  5 -> 10 [size =\"10941440\"]\n  6 [size=\"68333568\", alpha=\"0.12\", expect_size=\"34166784\"] \n  6 -> 8 [size =\"34166784\"]\n  6 -> 9 [size =\"34166784\"]\n  6 -> 10 [size =\"34166784\"]\n  7 [size=\"55744512\", alpha=\"0.07\", expect_size=\"27872256\"] \n  7 -> 9 [size =\"27872256\"]\n  7 -> 9 [size =\"27872256\"]\n  8 [size=\"99749888\", alpha=\"0.06\", expect_size=\"49874944\"] \n  9 [size=\"45742080\", alpha=\"0.06\", expect_size=\"22871040\"] \n  10 [size=\"33992704\", alpha=\"0.20\", expect_size=\"16996352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94896128\", alpha=\"0.08\", expect_size=\"47448064\"] \n  2 [size=\"94068736\", alpha=\"0.12\", expect_size=\"47034368\"] \n  2 -> 6 [size =\"47034368\"]\n  3 [size=\"40052736\", alpha=\"0.01\", expect_size=\"20026368\"] \n  3 -> 5 [size =\"20026368\"]\n  3 -> 6 [size =\"20026368\"]\n  4 [size=\"32114688\", alpha=\"0.07\", expect_size=\"16057344\"] \n  4 -> 6 [size =\"16057344\"]\n  5 [size=\"74475520\", alpha=\"0.17\", expect_size=\"37237760\"] \n  5 -> 7 [size =\"37237760\"]\n  5 -> 8 [size =\"37237760\"]\n  6 [size=\"51638272\", alpha=\"0.18\", expect_size=\"25819136\"] \n  6 -> 7 [size =\"25819136\"]\n  7 [size=\"86185984\", alpha=\"0.11\", expect_size=\"43092992\"] \n  7 -> 9 [size =\"43092992\"]\n  7 -> 10 [size =\"43092992\"]\n  8 [size=\"37799936\", alpha=\"0.08\", expect_size=\"18899968\"] \n  8 -> 9 [size =\"18899968\"]\n  8 -> 10 [size =\"18899968\"]\n  9 [size=\"12576768\", alpha=\"0.11\", expect_size=\"6288384\"] \n  10 [size=\"99385344\", alpha=\"0.16\", expect_size=\"49692672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58542080\", alpha=\"0.02\", expect_size=\"17562624\"] \n  1 -> 4 [size =\"17562624\"]\n  1 -> 5 [size =\"17562624\"]\n  1 -> 6 [size =\"17562624\"]\n  2 [size=\"170690560\", alpha=\"0.16\", expect_size=\"51207168\"] \n  2 -> 4 [size =\"51207168\"]\n  2 -> 5 [size =\"51207168\"]\n  2 -> 6 [size =\"51207168\"]\n  3 [size=\"69440853\", alpha=\"0.17\", expect_size=\"20832256\"] \n  3 -> 4 [size =\"20832256\"]\n  3 -> 5 [size =\"20832256\"]\n  3 -> 6 [size =\"20832256\"]\n  4 [size=\"69461333\", alpha=\"0.15\", expect_size=\"20838400\"] \n  4 -> 8 [size =\"20838400\"]\n  5 [size=\"102188373\", alpha=\"0.05\", expect_size=\"30656512\"] \n  5 -> 7 [size =\"30656512\"]\n  6 [size=\"136454827\", alpha=\"0.20\", expect_size=\"40936448\"] \n  6 -> 7 [size =\"40936448\"]\n  6 -> 8 [size =\"40936448\"]\n  7 [size=\"128139947\", alpha=\"0.10\", expect_size=\"38441984\"] \n  7 -> 9 [size =\"38441984\"]\n  7 -> 10 [size =\"38441984\"]\n  8 [size=\"55644160\", alpha=\"0.16\", expect_size=\"16693248\"] \n  8 -> 10 [size =\"16693248\"]\n  9 [size=\"127610880\", alpha=\"0.16\", expect_size=\"38283264\"] \n  10 [size=\"70116693\", alpha=\"0.02\", expect_size=\"21035008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49815552\", alpha=\"0.03\", expect_size=\"24907776\"] \n  1 -> 9 [size =\"24907776\"]\n  2 [size=\"63809536\", alpha=\"0.01\", expect_size=\"31904768\"] \n  3 [size=\"50706432\", alpha=\"0.17\", expect_size=\"25353216\"] \n  3 -> 10 [size =\"25353216\"]\n  4 [size=\"53950464\", alpha=\"0.19\", expect_size=\"26975232\"] \n  4 -> 8 [size =\"26975232\"]\n  4 -> 10 [size =\"26975232\"]\n  5 [size=\"18638848\", alpha=\"0.18\", expect_size=\"9319424\"] \n  5 -> 8 [size =\"9319424\"]\n  5 -> 9 [size =\"9319424\"]\n  5 -> 10 [size =\"9319424\"]\n  6 [size=\"31031296\", alpha=\"0.12\", expect_size=\"15515648\"] \n  6 -> 8 [size =\"15515648\"]\n  6 -> 9 [size =\"15515648\"]\n  7 [size=\"51693568\", alpha=\"0.02\", expect_size=\"25846784\"] \n  7 -> 9 [size =\"25846784\"]\n  7 -> 10 [size =\"25846784\"]\n  8 [size=\"76554240\", alpha=\"0.14\", expect_size=\"38277120\"] \n  9 [size=\"73261056\", alpha=\"0.08\", expect_size=\"36630528\"] \n  10 [size=\"26697728\", alpha=\"0.05\", expect_size=\"13348864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71383040\", alpha=\"0.01\", expect_size=\"28553216\"] \n  1 -> 4 [size =\"28553216\"]\n  2 [size=\"30853120\", alpha=\"0.12\", expect_size=\"12341248\"] \n  2 -> 3 [size =\"12341248\"]\n  3 [size=\"56028160\", alpha=\"0.09\", expect_size=\"22411264\"] \n  3 -> 6 [size =\"22411264\"]\n  4 [size=\"16936960\", alpha=\"0.12\", expect_size=\"6774784\"] \n  4 -> 5 [size =\"6774784\"]\n  4 -> 7 [size =\"6774784\"]\n  5 [size=\"102650880\", alpha=\"0.10\", expect_size=\"41060352\"] \n  5 -> 10 [size =\"41060352\"]\n  6 [size=\"59934720\", alpha=\"0.04\", expect_size=\"23973888\"] \n  6 -> 8 [size =\"23973888\"]\n  7 [size=\"72913920\", alpha=\"0.09\", expect_size=\"29165568\"] \n  7 -> 8 [size =\"29165568\"]\n  7 -> 9 [size =\"29165568\"]\n  8 [size=\"89881600\", alpha=\"0.11\", expect_size=\"35952640\"] \n  9 [size=\"20172800\", alpha=\"0.05\", expect_size=\"8069120\"] \n  10 [size=\"27988480\", alpha=\"0.15\", expect_size=\"11195392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27827200\", alpha=\"0.07\", expect_size=\"11130880\"] \n  2 [size=\"124595200\", alpha=\"0.05\", expect_size=\"49838080\"] \n  3 [size=\"89088000\", alpha=\"0.08\", expect_size=\"35635200\"] \n  4 [size=\"84244480\", alpha=\"0.03\", expect_size=\"33697792\"] \n  5 [size=\"18575360\", alpha=\"0.12\", expect_size=\"7430144\"] \n  6 [size=\"103546880\", alpha=\"0.14\", expect_size=\"41418752\"] \n  6 -> 10 [size =\"41418752\"]\n  7 [size=\"97561600\", alpha=\"0.08\", expect_size=\"39024640\"] \n  8 [size=\"92359680\", alpha=\"0.02\", expect_size=\"36943872\"] \n  8 -> 9 [size =\"36943872\"]\n  9 [size=\"129702400\", alpha=\"0.05\", expect_size=\"51880960\"] \n  10 [size=\"61171200\", alpha=\"0.00\", expect_size=\"24468480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59632640\", alpha=\"0.01\", expect_size=\"23853056\"] \n  1 -> 2 [size =\"23853056\"]\n  2 [size=\"99289600\", alpha=\"0.09\", expect_size=\"39715840\"] \n  2 -> 3 [size =\"39715840\"]\n  3 [size=\"128066560\", alpha=\"0.05\", expect_size=\"51226624\"] \n  3 -> 4 [size =\"51226624\"]\n  4 [size=\"16760320\", alpha=\"0.08\", expect_size=\"6704128\"] \n  4 -> 5 [size =\"6704128\"]\n  5 [size=\"48744960\", alpha=\"0.07\", expect_size=\"19497984\"] \n  5 -> 6 [size =\"19497984\"]\n  6 [size=\"77824000\", alpha=\"0.07\", expect_size=\"31129600\"] \n  6 -> 7 [size =\"31129600\"]\n  7 [size=\"120061440\", alpha=\"0.14\", expect_size=\"48024576\"] \n  7 -> 8 [size =\"48024576\"]\n  8 [size=\"119482880\", alpha=\"0.18\", expect_size=\"47793152\"] \n  8 -> 9 [size =\"47793152\"]\n  9 [size=\"64483840\", alpha=\"0.06\", expect_size=\"25793536\"] \n  9 -> 10 [size =\"25793536\"]\n  10 [size=\"123284480\", alpha=\"0.11\", expect_size=\"49313792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41566208\", alpha=\"0.12\", expect_size=\"20783104\"] \n  1 -> 7 [size =\"20783104\"]\n  1 -> 8 [size =\"20783104\"]\n  1 -> 9 [size =\"20783104\"]\n  1 -> 10 [size =\"20783104\"]\n  2 [size=\"40812544\", alpha=\"0.18\", expect_size=\"20406272\"] \n  2 -> 7 [size =\"20406272\"]\n  2 -> 8 [size =\"20406272\"]\n  2 -> 9 [size =\"20406272\"]\n  2 -> 10 [size =\"20406272\"]\n  3 [size=\"91445248\", alpha=\"0.08\", expect_size=\"45722624\"] \n  3 -> 8 [size =\"45722624\"]\n  3 -> 9 [size =\"45722624\"]\n  3 -> 9 [size =\"45722624\"]\n  3 -> 10 [size =\"45722624\"]\n  4 [size=\"33245184\", alpha=\"0.17\", expect_size=\"16622592\"] \n  4 -> 8 [size =\"16622592\"]\n  4 -> 9 [size =\"16622592\"]\n  4 -> 10 [size =\"16622592\"]\n  5 [size=\"10655744\", alpha=\"0.07\", expect_size=\"5327872\"] \n  5 -> 8 [size =\"5327872\"]\n  5 -> 10 [size =\"5327872\"]\n  6 [size=\"87027712\", alpha=\"0.07\", expect_size=\"43513856\"] \n  6 -> 8 [size =\"43513856\"]\n  6 -> 9 [size =\"43513856\"]\n  6 -> 10 [size =\"43513856\"]\n  7 [size=\"56795136\", alpha=\"0.04\", expect_size=\"28397568\"] \n  8 [size=\"23638016\", alpha=\"0.10\", expect_size=\"11819008\"] \n  9 [size=\"86720512\", alpha=\"0.12\", expect_size=\"43360256\"] \n  10 [size=\"70885376\", alpha=\"0.16\", expect_size=\"35442688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122352640\", alpha=\"0.03\", expect_size=\"48941056\"] \n  1 -> 2 [size =\"48941056\"]\n  2 [size=\"122897920\", alpha=\"0.15\", expect_size=\"49159168\"] \n  2 -> 3 [size =\"49159168\"]\n  3 [size=\"35886080\", alpha=\"0.01\", expect_size=\"14354432\"] \n  3 -> 4 [size =\"14354432\"]\n  4 [size=\"33100800\", alpha=\"0.02\", expect_size=\"13240320\"] \n  4 -> 5 [size =\"13240320\"]\n  5 [size=\"25292800\", alpha=\"0.15\", expect_size=\"10117120\"] \n  5 -> 6 [size =\"10117120\"]\n  6 [size=\"66695680\", alpha=\"0.12\", expect_size=\"26678272\"] \n  6 -> 7 [size =\"26678272\"]\n  7 [size=\"103152640\", alpha=\"0.12\", expect_size=\"41261056\"] \n  7 -> 8 [size =\"41261056\"]\n  8 [size=\"94438400\", alpha=\"0.11\", expect_size=\"37775360\"] \n  8 -> 9 [size =\"37775360\"]\n  9 [size=\"13171200\", alpha=\"0.06\", expect_size=\"5268480\"] \n  9 -> 10 [size =\"5268480\"]\n  10 [size=\"64906240\", alpha=\"0.06\", expect_size=\"25962496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62222336\", alpha=\"0.07\", expect_size=\"31111168\"] \n  1 -> 5 [size =\"31111168\"]\n  1 -> 10 [size =\"31111168\"]\n  2 [size=\"30717952\", alpha=\"0.12\", expect_size=\"15358976\"] \n  2 -> 7 [size =\"15358976\"]\n  2 -> 9 [size =\"15358976\"]\n  3 [size=\"19099648\", alpha=\"0.09\", expect_size=\"9549824\"] \n  3 -> 6 [size =\"9549824\"]\n  3 -> 9 [size =\"9549824\"]\n  3 -> 10 [size =\"9549824\"]\n  4 [size=\"48433152\", alpha=\"0.11\", expect_size=\"24216576\"] \n  4 -> 5 [size =\"24216576\"]\n  4 -> 6 [size =\"24216576\"]\n  4 -> 8 [size =\"24216576\"]\n  4 -> 9 [size =\"24216576\"]\n  5 [size=\"103329792\", alpha=\"0.02\", expect_size=\"51664896\"] \n  6 [size=\"94128128\", alpha=\"0.10\", expect_size=\"47064064\"] \n  7 [size=\"86106112\", alpha=\"0.01\", expect_size=\"43053056\"] \n  8 [size=\"71680000\", alpha=\"0.09\", expect_size=\"35840000\"] \n  9 [size=\"27043840\", alpha=\"0.10\", expect_size=\"13521920\"] \n  10 [size=\"98119680\", alpha=\"0.13\", expect_size=\"49059840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129010347\", alpha=\"0.03\", expect_size=\"38703104\"] \n  1 -> 4 [size =\"38703104\"]\n  1 -> 6 [size =\"38703104\"]\n  2 [size=\"111858347\", alpha=\"0.11\", expect_size=\"33557504\"] \n  2 -> 4 [size =\"33557504\"]\n  2 -> 5 [size =\"33557504\"]\n  2 -> 6 [size =\"33557504\"]\n  2 -> 7 [size =\"33557504\"]\n  3 [size=\"98041173\", alpha=\"0.08\", expect_size=\"29412352\"] \n  3 -> 4 [size =\"29412352\"]\n  3 -> 6 [size =\"29412352\"]\n  4 [size=\"152832000\", alpha=\"0.17\", expect_size=\"45849600\"] \n  4 -> 8 [size =\"45849600\"]\n  4 -> 9 [size =\"45849600\"]\n  4 -> 10 [size =\"45849600\"]\n  5 [size=\"136529920\", alpha=\"0.06\", expect_size=\"40958976\"] \n  5 -> 8 [size =\"40958976\"]\n  5 -> 9 [size =\"40958976\"]\n  6 [size=\"20800853\", alpha=\"0.10\", expect_size=\"6240256\"] \n  6 -> 8 [size =\"6240256\"]\n  6 -> 9 [size =\"6240256\"]\n  7 [size=\"54507520\", alpha=\"0.18\", expect_size=\"16352256\"] \n  7 -> 8 [size =\"16352256\"]\n  7 -> 9 [size =\"16352256\"]\n  7 -> 10 [size =\"16352256\"]\n  8 [size=\"102010880\", alpha=\"0.03\", expect_size=\"30603264\"] \n  9 [size=\"173755733\", alpha=\"0.10\", expect_size=\"52126720\"] \n  10 [size=\"83886080\", alpha=\"0.20\", expect_size=\"25165824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91798187\", alpha=\"0.05\", expect_size=\"27539456\"] \n  1 -> 2 [size =\"27539456\"]\n  2 [size=\"119401813\", alpha=\"0.12\", expect_size=\"35820544\"] \n  2 -> 3 [size =\"35820544\"]\n  3 [size=\"85391360\", alpha=\"0.06\", expect_size=\"25617408\"] \n  3 -> 4 [size =\"25617408\"]\n  4 [size=\"69642240\", alpha=\"0.07\", expect_size=\"20892672\"] \n  4 -> 5 [size =\"20892672\"]\n  5 [size=\"85500587\", alpha=\"0.04\", expect_size=\"25650176\"] \n  5 -> 6 [size =\"25650176\"]\n  6 [size=\"79332693\", alpha=\"0.08\", expect_size=\"23799808\"] \n  6 -> 7 [size =\"23799808\"]\n  7 [size=\"121272320\", alpha=\"0.03\", expect_size=\"36381696\"] \n  7 -> 8 [size =\"36381696\"]\n  8 [size=\"100089173\", alpha=\"0.06\", expect_size=\"30026752\"] \n  8 -> 9 [size =\"30026752\"]\n  9 [size=\"36939093\", alpha=\"0.19\", expect_size=\"11081728\"] \n  9 -> 10 [size =\"11081728\"]\n  10 [size=\"19831467\", alpha=\"0.03\", expect_size=\"5949440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106673493\", alpha=\"0.02\", expect_size=\"32002048\"] \n  1 -> 4 [size =\"32002048\"]\n  1 -> 5 [size =\"32002048\"]\n  2 [size=\"61030400\", alpha=\"0.16\", expect_size=\"18309120\"] \n  2 -> 5 [size =\"18309120\"]\n  3 [size=\"94849707\", alpha=\"0.11\", expect_size=\"28454912\"] \n  3 -> 4 [size =\"28454912\"]\n  4 [size=\"135796053\", alpha=\"0.11\", expect_size=\"40738816\"] \n  4 -> 6 [size =\"40738816\"]\n  4 -> 7 [size =\"40738816\"]\n  5 [size=\"64030720\", alpha=\"0.14\", expect_size=\"19209216\"] \n  5 -> 7 [size =\"19209216\"]\n  6 [size=\"42117120\", alpha=\"0.09\", expect_size=\"12635136\"] \n  6 -> 8 [size =\"12635136\"]\n  6 -> 10 [size =\"12635136\"]\n  7 [size=\"70932480\", alpha=\"0.03\", expect_size=\"21279744\"] \n  7 -> 8 [size =\"21279744\"]\n  7 -> 9 [size =\"21279744\"]\n  7 -> 10 [size =\"21279744\"]\n  8 [size=\"151821653\", alpha=\"0.06\", expect_size=\"45546496\"] \n  9 [size=\"72178347\", alpha=\"0.17\", expect_size=\"21653504\"] \n  10 [size=\"163826347\", alpha=\"0.02\", expect_size=\"49147904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12177408\", alpha=\"0.18\", expect_size=\"6088704\"] \n  1 -> 2 [size =\"6088704\"]\n  2 [size=\"92028928\", alpha=\"0.19\", expect_size=\"46014464\"] \n  2 -> 3 [size =\"46014464\"]\n  3 [size=\"73603072\", alpha=\"0.02\", expect_size=\"36801536\"] \n  3 -> 4 [size =\"36801536\"]\n  4 [size=\"56872960\", alpha=\"0.01\", expect_size=\"28436480\"] \n  4 -> 5 [size =\"28436480\"]\n  5 [size=\"34883584\", alpha=\"0.02\", expect_size=\"17441792\"] \n  5 -> 6 [size =\"17441792\"]\n  6 [size=\"41428992\", alpha=\"0.14\", expect_size=\"20714496\"] \n  6 -> 7 [size =\"20714496\"]\n  7 [size=\"62429184\", alpha=\"0.02\", expect_size=\"31214592\"] \n  7 -> 8 [size =\"31214592\"]\n  8 [size=\"90949632\", alpha=\"0.10\", expect_size=\"45474816\"] \n  8 -> 9 [size =\"45474816\"]\n  9 [size=\"79892480\", alpha=\"0.00\", expect_size=\"39946240\"] \n  9 -> 10 [size =\"39946240\"]\n  10 [size=\"17594368\", alpha=\"0.09\", expect_size=\"8797184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127303680\", alpha=\"0.16\", expect_size=\"50921472\"] \n  1 -> 9 [size =\"50921472\"]\n  2 [size=\"128652800\", alpha=\"0.09\", expect_size=\"51461120\"] \n  2 -> 10 [size =\"51461120\"]\n  3 [size=\"17075200\", alpha=\"0.11\", expect_size=\"6830080\"] \n  4 [size=\"95173120\", alpha=\"0.09\", expect_size=\"38069248\"] \n  4 -> 7 [size =\"38069248\"]\n  4 -> 8 [size =\"38069248\"]\n  5 [size=\"62064640\", alpha=\"0.01\", expect_size=\"24825856\"] \n  5 -> 7 [size =\"24825856\"]\n  6 [size=\"71943680\", alpha=\"0.16\", expect_size=\"28777472\"] \n  6 -> 7 [size =\"28777472\"]\n  6 -> 8 [size =\"28777472\"]\n  6 -> 10 [size =\"28777472\"]\n  7 [size=\"116736000\", alpha=\"0.03\", expect_size=\"46694400\"] \n  8 [size=\"85731840\", alpha=\"0.16\", expect_size=\"34292736\"] \n  9 [size=\"113584640\", alpha=\"0.14\", expect_size=\"45433856\"] \n  10 [size=\"64701440\", alpha=\"0.15\", expect_size=\"25880576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62570496\", alpha=\"0.20\", expect_size=\"31285248\"] \n  1 -> 2 [size =\"31285248\"]\n  2 [size=\"16736256\", alpha=\"0.16\", expect_size=\"8368128\"] \n  2 -> 3 [size =\"8368128\"]\n  3 [size=\"94388224\", alpha=\"0.17\", expect_size=\"47194112\"] \n  3 -> 4 [size =\"47194112\"]\n  4 [size=\"70055936\", alpha=\"0.16\", expect_size=\"35027968\"] \n  4 -> 5 [size =\"35027968\"]\n  5 [size=\"63356928\", alpha=\"0.00\", expect_size=\"31678464\"] \n  5 -> 6 [size =\"31678464\"]\n  6 [size=\"79691776\", alpha=\"0.19\", expect_size=\"39845888\"] \n  6 -> 7 [size =\"39845888\"]\n  7 [size=\"48801792\", alpha=\"0.01\", expect_size=\"24400896\"] \n  7 -> 8 [size =\"24400896\"]\n  8 [size=\"23541760\", alpha=\"0.13\", expect_size=\"11770880\"] \n  8 -> 9 [size =\"11770880\"]\n  9 [size=\"85757952\", alpha=\"0.11\", expect_size=\"42878976\"] \n  9 -> 10 [size =\"42878976\"]\n  10 [size=\"17735680\", alpha=\"0.04\", expect_size=\"8867840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34501120\", alpha=\"0.01\", expect_size=\"13800448\"] \n  1 -> 6 [size =\"13800448\"]\n  1 -> 7 [size =\"13800448\"]\n  1 -> 8 [size =\"13800448\"]\n  1 -> 9 [size =\"13800448\"]\n  2 [size=\"115271680\", alpha=\"0.13\", expect_size=\"46108672\"] \n  2 -> 7 [size =\"46108672\"]\n  2 -> 9 [size =\"46108672\"]\n  2 -> 10 [size =\"46108672\"]\n  3 [size=\"102707200\", alpha=\"0.12\", expect_size=\"41082880\"] \n  3 -> 5 [size =\"41082880\"]\n  3 -> 8 [size =\"41082880\"]\n  4 [size=\"54164480\", alpha=\"0.04\", expect_size=\"21665792\"] \n  5 [size=\"117772800\", alpha=\"0.15\", expect_size=\"47109120\"] \n  6 [size=\"79516160\", alpha=\"0.19\", expect_size=\"31806464\"] \n  7 [size=\"33948160\", alpha=\"0.20\", expect_size=\"13579264\"] \n  8 [size=\"85166080\", alpha=\"0.14\", expect_size=\"34066432\"] \n  9 [size=\"96153600\", alpha=\"0.12\", expect_size=\"38461440\"] \n  10 [size=\"96729600\", alpha=\"0.01\", expect_size=\"38691840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65638400\", alpha=\"0.15\", expect_size=\"19691520\"] \n  1 -> 3 [size =\"19691520\"]\n  2 [size=\"154115413\", alpha=\"0.02\", expect_size=\"46234624\"] \n  2 -> 4 [size =\"46234624\"]\n  3 [size=\"122801493\", alpha=\"0.16\", expect_size=\"36840448\"] \n  4 [size=\"153968640\", alpha=\"0.02\", expect_size=\"46190592\"] \n  4 -> 5 [size =\"46190592\"]\n  4 -> 6 [size =\"46190592\"]\n  5 [size=\"109994667\", alpha=\"0.06\", expect_size=\"32998400\"] \n  5 -> 7 [size =\"32998400\"]\n  5 -> 8 [size =\"32998400\"]\n  6 [size=\"146042880\", alpha=\"0.08\", expect_size=\"43812864\"] \n  6 -> 7 [size =\"43812864\"]\n  7 [size=\"150893227\", alpha=\"0.03\", expect_size=\"45267968\"] \n  7 -> 9 [size =\"45267968\"]\n  7 -> 10 [size =\"45267968\"]\n  8 [size=\"114619733\", alpha=\"0.06\", expect_size=\"34385920\"] \n  8 -> 9 [size =\"34385920\"]\n  8 -> 10 [size =\"34385920\"]\n  9 [size=\"69283840\", alpha=\"0.09\", expect_size=\"20785152\"] \n  10 [size=\"113411413\", alpha=\"0.18\", expect_size=\"34023424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101296640\", alpha=\"0.16\", expect_size=\"40518656\"] \n  1 -> 4 [size =\"40518656\"]\n  1 -> 5 [size =\"40518656\"]\n  2 [size=\"69670400\", alpha=\"0.12\", expect_size=\"27868160\"] \n  2 -> 4 [size =\"27868160\"]\n  3 [size=\"71301120\", alpha=\"0.08\", expect_size=\"28520448\"] \n  3 -> 4 [size =\"28520448\"]\n  4 [size=\"54512640\", alpha=\"0.10\", expect_size=\"21805056\"] \n  4 -> 6 [size =\"21805056\"]\n  4 -> 7 [size =\"21805056\"]\n  5 [size=\"85882880\", alpha=\"0.02\", expect_size=\"34353152\"] \n  5 -> 6 [size =\"34353152\"]\n  5 -> 7 [size =\"34353152\"]\n  6 [size=\"67668480\", alpha=\"0.16\", expect_size=\"27067392\"] \n  6 -> 8 [size =\"27067392\"]\n  6 -> 9 [size =\"27067392\"]\n  7 [size=\"23859200\", alpha=\"0.12\", expect_size=\"9543680\"] \n  8 [size=\"17607680\", alpha=\"0.10\", expect_size=\"7043072\"] \n  8 -> 10 [size =\"7043072\"]\n  9 [size=\"126172160\", alpha=\"0.07\", expect_size=\"50468864\"] \n  9 -> 10 [size =\"50468864\"]\n  10 [size=\"20851200\", alpha=\"0.09\", expect_size=\"8340480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64405504\", alpha=\"0.02\", expect_size=\"32202752\"] \n  1 -> 3 [size =\"32202752\"]\n  1 -> 4 [size =\"32202752\"]\n  2 [size=\"39825408\", alpha=\"0.03\", expect_size=\"19912704\"] \n  2 -> 4 [size =\"19912704\"]\n  3 [size=\"101335040\", alpha=\"0.14\", expect_size=\"50667520\"] \n  3 -> 5 [size =\"50667520\"]\n  3 -> 6 [size =\"50667520\"]\n  4 [size=\"38612992\", alpha=\"0.01\", expect_size=\"19306496\"] \n  4 -> 5 [size =\"19306496\"]\n  4 -> 6 [size =\"19306496\"]\n  5 [size=\"29286400\", alpha=\"0.12\", expect_size=\"14643200\"] \n  5 -> 7 [size =\"14643200\"]\n  5 -> 8 [size =\"14643200\"]\n  5 -> 9 [size =\"14643200\"]\n  6 [size=\"94709760\", alpha=\"0.10\", expect_size=\"47354880\"] \n  6 -> 7 [size =\"47354880\"]\n  6 -> 8 [size =\"47354880\"]\n  6 -> 9 [size =\"47354880\"]\n  7 [size=\"87169024\", alpha=\"0.10\", expect_size=\"43584512\"] \n  7 -> 10 [size =\"43584512\"]\n  8 [size=\"85051392\", alpha=\"0.11\", expect_size=\"42525696\"] \n  9 [size=\"89124864\", alpha=\"0.11\", expect_size=\"44562432\"] \n  10 [size=\"97026048\", alpha=\"0.01\", expect_size=\"48513024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118364160\", alpha=\"0.00\", expect_size=\"35509248\"] \n  1 -> 6 [size =\"35509248\"]\n  2 [size=\"148725760\", alpha=\"0.18\", expect_size=\"44617728\"] \n  2 -> 6 [size =\"44617728\"]\n  2 -> 7 [size =\"44617728\"]\n  2 -> 8 [size =\"44617728\"]\n  2 -> 9 [size =\"44617728\"]\n  3 [size=\"174032213\", alpha=\"0.06\", expect_size=\"52209664\"] \n  3 -> 7 [size =\"52209664\"]\n  3 -> 9 [size =\"52209664\"]\n  4 [size=\"33099093\", alpha=\"0.16\", expect_size=\"9929728\"] \n  5 [size=\"132300800\", alpha=\"0.04\", expect_size=\"39690240\"] \n  6 [size=\"107659947\", alpha=\"0.01\", expect_size=\"32297984\"] \n  7 [size=\"102546773\", alpha=\"0.01\", expect_size=\"30764032\"] \n  8 [size=\"134219093\", alpha=\"0.04\", expect_size=\"40265728\"] \n  9 [size=\"130058240\", alpha=\"0.09\", expect_size=\"39017472\"] \n  9 -> 10 [size =\"39017472\"]\n  10 [size=\"47906133\", alpha=\"0.17\", expect_size=\"14371840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24825173\", alpha=\"0.16\", expect_size=\"7447552\"] \n  1 -> 4 [size =\"7447552\"]\n  2 [size=\"92487680\", alpha=\"0.04\", expect_size=\"27746304\"] \n  2 -> 5 [size =\"27746304\"]\n  2 -> 6 [size =\"27746304\"]\n  3 [size=\"36136960\", alpha=\"0.03\", expect_size=\"10841088\"] \n  4 [size=\"69591040\", alpha=\"0.14\", expect_size=\"20877312\"] \n  4 -> 7 [size =\"20877312\"]\n  4 -> 8 [size =\"20877312\"]\n  4 -> 9 [size =\"20877312\"]\n  5 [size=\"78277973\", alpha=\"0.18\", expect_size=\"23483392\"] \n  6 [size=\"154374827\", alpha=\"0.17\", expect_size=\"46312448\"] \n  6 -> 8 [size =\"46312448\"]\n  7 [size=\"113827840\", alpha=\"0.00\", expect_size=\"34148352\"] \n  7 -> 10 [size =\"34148352\"]\n  8 [size=\"155255467\", alpha=\"0.08\", expect_size=\"46576640\"] \n  9 [size=\"104065707\", alpha=\"0.03\", expect_size=\"31219712\"] \n  10 [size=\"27368107\", alpha=\"0.02\", expect_size=\"8210432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82360320\", alpha=\"0.02\", expect_size=\"24708096\"] \n  1 -> 9 [size =\"24708096\"]\n  2 [size=\"166970027\", alpha=\"0.15\", expect_size=\"50091008\"] \n  2 -> 8 [size =\"50091008\"]\n  2 -> 9 [size =\"50091008\"]\n  3 [size=\"100502187\", alpha=\"0.14\", expect_size=\"30150656\"] \n  3 -> 8 [size =\"30150656\"]\n  3 -> 9 [size =\"30150656\"]\n  3 -> 10 [size =\"30150656\"]\n  4 [size=\"112527360\", alpha=\"0.18\", expect_size=\"33758208\"] \n  4 -> 10 [size =\"33758208\"]\n  5 [size=\"136601600\", alpha=\"0.06\", expect_size=\"40980480\"] \n  5 -> 9 [size =\"40980480\"]\n  6 [size=\"56456533\", alpha=\"0.14\", expect_size=\"16936960\"] \n  6 -> 8 [size =\"16936960\"]\n  6 -> 9 [size =\"16936960\"]\n  7 [size=\"44499627\", alpha=\"0.16\", expect_size=\"13349888\"] \n  7 -> 9 [size =\"13349888\"]\n  8 [size=\"62293333\", alpha=\"0.18\", expect_size=\"18688000\"] \n  9 [size=\"114158933\", alpha=\"0.18\", expect_size=\"34247680\"] \n  10 [size=\"107325440\", alpha=\"0.17\", expect_size=\"32197632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39252480\", alpha=\"0.14\", expect_size=\"15700992\"] \n  1 -> 2 [size =\"15700992\"]\n  2 [size=\"130810880\", alpha=\"0.11\", expect_size=\"52324352\"] \n  2 -> 3 [size =\"52324352\"]\n  3 [size=\"31764480\", alpha=\"0.07\", expect_size=\"12705792\"] \n  3 -> 4 [size =\"12705792\"]\n  4 [size=\"77427200\", alpha=\"0.15\", expect_size=\"30970880\"] \n  4 -> 5 [size =\"30970880\"]\n  5 [size=\"38200320\", alpha=\"0.13\", expect_size=\"15280128\"] \n  5 -> 6 [size =\"15280128\"]\n  6 [size=\"56005120\", alpha=\"0.20\", expect_size=\"22402048\"] \n  6 -> 7 [size =\"22402048\"]\n  7 [size=\"80977920\", alpha=\"0.13\", expect_size=\"32391168\"] \n  7 -> 8 [size =\"32391168\"]\n  8 [size=\"43673600\", alpha=\"0.13\", expect_size=\"17469440\"] \n  8 -> 9 [size =\"17469440\"]\n  9 [size=\"34452480\", alpha=\"0.11\", expect_size=\"13780992\"] \n  9 -> 10 [size =\"13780992\"]\n  10 [size=\"67264000\", alpha=\"0.04\", expect_size=\"26905600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27834880\", alpha=\"0.07\", expect_size=\"11133952\"] \n  1 -> 8 [size =\"11133952\"]\n  1 -> 9 [size =\"11133952\"]\n  1 -> 10 [size =\"11133952\"]\n  2 [size=\"52723200\", alpha=\"0.19\", expect_size=\"21089280\"] \n  2 -> 8 [size =\"21089280\"]\n  2 -> 10 [size =\"21089280\"]\n  3 [size=\"101857280\", alpha=\"0.05\", expect_size=\"40742912\"] \n  3 -> 9 [size =\"40742912\"]\n  4 [size=\"102169600\", alpha=\"0.02\", expect_size=\"40867840\"] \n  4 -> 9 [size =\"40867840\"]\n  4 -> 10 [size =\"40867840\"]\n  5 [size=\"98936320\", alpha=\"0.00\", expect_size=\"39574528\"] \n  5 -> 8 [size =\"39574528\"]\n  5 -> 9 [size =\"39574528\"]\n  6 [size=\"108608000\", alpha=\"0.17\", expect_size=\"43443200\"] \n  6 -> 8 [size =\"43443200\"]\n  6 -> 9 [size =\"43443200\"]\n  7 [size=\"68195840\", alpha=\"0.02\", expect_size=\"27278336\"] \n  8 [size=\"104709120\", alpha=\"0.17\", expect_size=\"41883648\"] \n  9 [size=\"126650880\", alpha=\"0.05\", expect_size=\"50660352\"] \n  10 [size=\"111895040\", alpha=\"0.03\", expect_size=\"44758016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31731712\", alpha=\"0.04\", expect_size=\"15865856\"] \n  1 -> 7 [size =\"15865856\"]\n  1 -> 9 [size =\"15865856\"]\n  1 -> 10 [size =\"15865856\"]\n  2 [size=\"36116480\", alpha=\"0.11\", expect_size=\"18058240\"] \n  2 -> 8 [size =\"18058240\"]\n  3 [size=\"44124160\", alpha=\"0.05\", expect_size=\"22062080\"] \n  3 -> 10 [size =\"22062080\"]\n  4 [size=\"64348160\", alpha=\"0.14\", expect_size=\"32174080\"] \n  4 -> 7 [size =\"32174080\"]\n  5 [size=\"76677120\", alpha=\"0.18\", expect_size=\"38338560\"] \n  5 -> 6 [size =\"38338560\"]\n  5 -> 7 [size =\"38338560\"]\n  5 -> 9 [size =\"38338560\"]\n  6 [size=\"41357312\", alpha=\"0.04\", expect_size=\"20678656\"] \n  7 [size=\"67006464\", alpha=\"0.10\", expect_size=\"33503232\"] \n  8 [size=\"10844160\", alpha=\"0.05\", expect_size=\"5422080\"] \n  9 [size=\"44890112\", alpha=\"0.19\", expect_size=\"22445056\"] \n  10 [size=\"52445184\", alpha=\"0.01\", expect_size=\"26222592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19339264\", alpha=\"0.09\", expect_size=\"9669632\"] \n  1 -> 4 [size =\"9669632\"]\n  1 -> 5 [size =\"9669632\"]\n  2 [size=\"23185408\", alpha=\"0.07\", expect_size=\"11592704\"] \n  2 -> 6 [size =\"11592704\"]\n  3 [size=\"84490240\", alpha=\"0.12\", expect_size=\"42245120\"] \n  4 [size=\"40245248\", alpha=\"0.17\", expect_size=\"20122624\"] \n  4 -> 7 [size =\"20122624\"]\n  5 [size=\"81844224\", alpha=\"0.00\", expect_size=\"40922112\"] \n  6 [size=\"12978176\", alpha=\"0.02\", expect_size=\"6489088\"] \n  6 -> 8 [size =\"6489088\"]\n  7 [size=\"52185088\", alpha=\"0.01\", expect_size=\"26092544\"] \n  7 -> 10 [size =\"26092544\"]\n  8 [size=\"34488320\", alpha=\"0.14\", expect_size=\"17244160\"] \n  8 -> 9 [size =\"17244160\"]\n  8 -> 10 [size =\"17244160\"]\n  9 [size=\"71682048\", alpha=\"0.17\", expect_size=\"35841024\"] \n  10 [size=\"56356864\", alpha=\"0.04\", expect_size=\"28178432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89654613\", alpha=\"0.13\", expect_size=\"26896384\"] \n  1 -> 4 [size =\"26896384\"]\n  1 -> 5 [size =\"26896384\"]\n  1 -> 6 [size =\"26896384\"]\n  2 [size=\"52227413\", alpha=\"0.00\", expect_size=\"15668224\"] \n  3 [size=\"64440320\", alpha=\"0.18\", expect_size=\"19332096\"] \n  3 -> 5 [size =\"19332096\"]\n  4 [size=\"82476373\", alpha=\"0.15\", expect_size=\"24742912\"] \n  4 -> 8 [size =\"24742912\"]\n  5 [size=\"113800533\", alpha=\"0.08\", expect_size=\"34140160\"] \n  5 -> 7 [size =\"34140160\"]\n  5 -> 8 [size =\"34140160\"]\n  6 [size=\"149838507\", alpha=\"0.04\", expect_size=\"44951552\"] \n  7 [size=\"149118293\", alpha=\"0.20\", expect_size=\"44735488\"] \n  7 -> 9 [size =\"44735488\"]\n  7 -> 10 [size =\"44735488\"]\n  8 [size=\"127573333\", alpha=\"0.11\", expect_size=\"38272000\"] \n  9 [size=\"67423573\", alpha=\"0.12\", expect_size=\"20227072\"] \n  10 [size=\"154043733\", alpha=\"0.00\", expect_size=\"46213120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88514560\", alpha=\"0.05\", expect_size=\"44257280\"] \n  1 -> 2 [size =\"44257280\"]\n  2 [size=\"60301312\", alpha=\"0.14\", expect_size=\"30150656\"] \n  2 -> 3 [size =\"30150656\"]\n  3 [size=\"103800832\", alpha=\"0.16\", expect_size=\"51900416\"] \n  3 -> 4 [size =\"51900416\"]\n  4 [size=\"74752000\", alpha=\"0.16\", expect_size=\"37376000\"] \n  4 -> 5 [size =\"37376000\"]\n  5 [size=\"35166208\", alpha=\"0.20\", expect_size=\"17583104\"] \n  5 -> 6 [size =\"17583104\"]\n  6 [size=\"27604992\", alpha=\"0.10\", expect_size=\"13802496\"] \n  6 -> 7 [size =\"13802496\"]\n  7 [size=\"13328384\", alpha=\"0.17\", expect_size=\"6664192\"] \n  7 -> 8 [size =\"6664192\"]\n  8 [size=\"86290432\", alpha=\"0.18\", expect_size=\"43145216\"] \n  8 -> 9 [size =\"43145216\"]\n  9 [size=\"51345408\", alpha=\"0.10\", expect_size=\"25672704\"] \n  9 -> 10 [size =\"25672704\"]\n  10 [size=\"41598976\", alpha=\"0.05\", expect_size=\"20799488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111902720\", alpha=\"0.00\", expect_size=\"44761088\"] \n  1 -> 2 [size =\"44761088\"]\n  2 [size=\"27458560\", alpha=\"0.12\", expect_size=\"10983424\"] \n  2 -> 3 [size =\"10983424\"]\n  3 [size=\"53271040\", alpha=\"0.13\", expect_size=\"21308416\"] \n  3 -> 4 [size =\"21308416\"]\n  4 [size=\"130009600\", alpha=\"0.08\", expect_size=\"52003840\"] \n  4 -> 5 [size =\"52003840\"]\n  5 [size=\"30912000\", alpha=\"0.08\", expect_size=\"12364800\"] \n  5 -> 6 [size =\"12364800\"]\n  6 [size=\"86325760\", alpha=\"0.07\", expect_size=\"34530304\"] \n  6 -> 7 [size =\"34530304\"]\n  7 [size=\"35773440\", alpha=\"0.01\", expect_size=\"14309376\"] \n  7 -> 8 [size =\"14309376\"]\n  8 [size=\"34045440\", alpha=\"0.14\", expect_size=\"13618176\"] \n  8 -> 9 [size =\"13618176\"]\n  9 [size=\"65241600\", alpha=\"0.15\", expect_size=\"26096640\"] \n  9 -> 10 [size =\"26096640\"]\n  10 [size=\"78471680\", alpha=\"0.11\", expect_size=\"31388672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54210560\", alpha=\"0.06\", expect_size=\"21684224\"] \n  1 -> 2 [size =\"21684224\"]\n  2 [size=\"97538560\", alpha=\"0.20\", expect_size=\"39015424\"] \n  2 -> 3 [size =\"39015424\"]\n  3 [size=\"35819520\", alpha=\"0.11\", expect_size=\"14327808\"] \n  3 -> 4 [size =\"14327808\"]\n  4 [size=\"48683520\", alpha=\"0.10\", expect_size=\"19473408\"] \n  4 -> 5 [size =\"19473408\"]\n  5 [size=\"17971200\", alpha=\"0.17\", expect_size=\"7188480\"] \n  5 -> 6 [size =\"7188480\"]\n  6 [size=\"20352000\", alpha=\"0.05\", expect_size=\"8140800\"] \n  6 -> 7 [size =\"8140800\"]\n  7 [size=\"114122240\", alpha=\"0.15\", expect_size=\"45648896\"] \n  7 -> 8 [size =\"45648896\"]\n  8 [size=\"19589120\", alpha=\"0.01\", expect_size=\"7835648\"] \n  8 -> 9 [size =\"7835648\"]\n  9 [size=\"66851840\", alpha=\"0.10\", expect_size=\"26740736\"] \n  9 -> 10 [size =\"26740736\"]\n  10 [size=\"105728000\", alpha=\"0.09\", expect_size=\"42291200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153972053\", alpha=\"0.12\", expect_size=\"46191616\"] \n  1 -> 2 [size =\"46191616\"]\n  2 [size=\"67764907\", alpha=\"0.08\", expect_size=\"20329472\"] \n  2 -> 3 [size =\"20329472\"]\n  3 [size=\"104953173\", alpha=\"0.19\", expect_size=\"31485952\"] \n  3 -> 4 [size =\"31485952\"]\n  4 [size=\"37229227\", alpha=\"0.12\", expect_size=\"11168768\"] \n  4 -> 5 [size =\"11168768\"]\n  5 [size=\"87780693\", alpha=\"0.06\", expect_size=\"26334208\"] \n  5 -> 6 [size =\"26334208\"]\n  6 [size=\"20592640\", alpha=\"0.02\", expect_size=\"6177792\"] \n  6 -> 7 [size =\"6177792\"]\n  7 [size=\"102516053\", alpha=\"0.10\", expect_size=\"30754816\"] \n  7 -> 8 [size =\"30754816\"]\n  8 [size=\"89088000\", alpha=\"0.07\", expect_size=\"26726400\"] \n  8 -> 9 [size =\"26726400\"]\n  9 [size=\"173994667\", alpha=\"0.06\", expect_size=\"52198400\"] \n  9 -> 10 [size =\"52198400\"]\n  10 [size=\"103249920\", alpha=\"0.06\", expect_size=\"30974976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76718080\", alpha=\"0.18\", expect_size=\"30687232\"] \n  1 -> 8 [size =\"30687232\"]\n  1 -> 10 [size =\"30687232\"]\n  2 [size=\"74055680\", alpha=\"0.01\", expect_size=\"29622272\"] \n  2 -> 8 [size =\"29622272\"]\n  2 -> 9 [size =\"29622272\"]\n  2 -> 10 [size =\"29622272\"]\n  3 [size=\"105492480\", alpha=\"0.03\", expect_size=\"42196992\"] \n  3 -> 8 [size =\"42196992\"]\n  4 [size=\"21363200\", alpha=\"0.19\", expect_size=\"8545280\"] \n  4 -> 8 [size =\"8545280\"]\n  5 [size=\"107678720\", alpha=\"0.05\", expect_size=\"43071488\"] \n  5 -> 8 [size =\"43071488\"]\n  5 -> 10 [size =\"43071488\"]\n  6 [size=\"115328000\", alpha=\"0.04\", expect_size=\"46131200\"] \n  6 -> 8 [size =\"46131200\"]\n  6 -> 9 [size =\"46131200\"]\n  7 [size=\"105963520\", alpha=\"0.00\", expect_size=\"42385408\"] \n  8 [size=\"59916800\", alpha=\"0.17\", expect_size=\"23966720\"] \n  9 [size=\"130918400\", alpha=\"0.15\", expect_size=\"52367360\"] \n  10 [size=\"47616000\", alpha=\"0.09\", expect_size=\"19046400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158354773\", alpha=\"0.19\", expect_size=\"47506432\"] \n  1 -> 2 [size =\"47506432\"]\n  2 [size=\"85732693\", alpha=\"0.17\", expect_size=\"25719808\"] \n  2 -> 3 [size =\"25719808\"]\n  3 [size=\"164092587\", alpha=\"0.07\", expect_size=\"49227776\"] \n  3 -> 4 [size =\"49227776\"]\n  4 [size=\"90548907\", alpha=\"0.05\", expect_size=\"27164672\"] \n  4 -> 5 [size =\"27164672\"]\n  5 [size=\"75820373\", alpha=\"0.06\", expect_size=\"22746112\"] \n  5 -> 6 [size =\"22746112\"]\n  6 [size=\"17530880\", alpha=\"0.11\", expect_size=\"5259264\"] \n  6 -> 7 [size =\"5259264\"]\n  7 [size=\"135738027\", alpha=\"0.05\", expect_size=\"40721408\"] \n  7 -> 8 [size =\"40721408\"]\n  8 [size=\"78544213\", alpha=\"0.05\", expect_size=\"23563264\"] \n  8 -> 9 [size =\"23563264\"]\n  9 [size=\"29156693\", alpha=\"0.02\", expect_size=\"8747008\"] \n  9 -> 10 [size =\"8747008\"]\n  10 [size=\"73093120\", alpha=\"0.15\", expect_size=\"21927936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21468160\", alpha=\"0.13\", expect_size=\"8587264\"] \n  1 -> 10 [size =\"8587264\"]\n  2 [size=\"49541120\", alpha=\"0.05\", expect_size=\"19816448\"] \n  2 -> 9 [size =\"19816448\"]\n  3 [size=\"42513920\", alpha=\"0.18\", expect_size=\"17005568\"] \n  3 -> 7 [size =\"17005568\"]\n  3 -> 9 [size =\"17005568\"]\n  4 [size=\"32824320\", alpha=\"0.01\", expect_size=\"13129728\"] \n  4 -> 8 [size =\"13129728\"]\n  4 -> 9 [size =\"13129728\"]\n  5 [size=\"21880320\", alpha=\"0.16\", expect_size=\"8752128\"] \n  5 -> 8 [size =\"8752128\"]\n  5 -> 9 [size =\"8752128\"]\n  6 [size=\"20682240\", alpha=\"0.16\", expect_size=\"8272896\"] \n  6 -> 8 [size =\"8272896\"]\n  6 -> 10 [size =\"8272896\"]\n  7 [size=\"103616000\", alpha=\"0.05\", expect_size=\"41446400\"] \n  8 [size=\"66698240\", alpha=\"0.19\", expect_size=\"26679296\"] \n  9 [size=\"99898880\", alpha=\"0.09\", expect_size=\"39959552\"] \n  10 [size=\"70167040\", alpha=\"0.16\", expect_size=\"28066816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33907200\", alpha=\"0.11\", expect_size=\"13562880\"] \n  1 -> 7 [size =\"13562880\"]\n  2 [size=\"101665280\", alpha=\"0.07\", expect_size=\"40666112\"] \n  2 -> 7 [size =\"40666112\"]\n  3 [size=\"114621440\", alpha=\"0.09\", expect_size=\"45848576\"] \n  3 -> 7 [size =\"45848576\"]\n  3 -> 9 [size =\"45848576\"]\n  4 [size=\"130045440\", alpha=\"0.13\", expect_size=\"52018176\"] \n  4 -> 8 [size =\"52018176\"]\n  4 -> 9 [size =\"52018176\"]\n  4 -> 10 [size =\"52018176\"]\n  5 [size=\"19957760\", alpha=\"0.13\", expect_size=\"7983104\"] \n  5 -> 10 [size =\"7983104\"]\n  6 [size=\"24117760\", alpha=\"0.12\", expect_size=\"9647104\"] \n  6 -> 7 [size =\"9647104\"]\n  6 -> 10 [size =\"9647104\"]\n  7 [size=\"120775680\", alpha=\"0.14\", expect_size=\"48310272\"] \n  8 [size=\"95383040\", alpha=\"0.08\", expect_size=\"38153216\"] \n  9 [size=\"90536960\", alpha=\"0.12\", expect_size=\"36214784\"] \n  10 [size=\"26403840\", alpha=\"0.14\", expect_size=\"10561536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85038080\", alpha=\"0.14\", expect_size=\"34015232\"] \n  1 -> 6 [size =\"34015232\"]\n  2 [size=\"66088960\", alpha=\"0.20\", expect_size=\"26435584\"] \n  2 -> 7 [size =\"26435584\"]\n  3 [size=\"57134080\", alpha=\"0.16\", expect_size=\"22853632\"] \n  3 -> 8 [size =\"22853632\"]\n  4 [size=\"112696320\", alpha=\"0.01\", expect_size=\"45078528\"] \n  4 -> 5 [size =\"45078528\"]\n  4 -> 6 [size =\"45078528\"]\n  4 -> 7 [size =\"45078528\"]\n  5 [size=\"26024960\", alpha=\"0.13\", expect_size=\"10409984\"] \n  5 -> 9 [size =\"10409984\"]\n  6 [size=\"71618560\", alpha=\"0.01\", expect_size=\"28647424\"] \n  6 -> 9 [size =\"28647424\"]\n  7 [size=\"21934080\", alpha=\"0.09\", expect_size=\"8773632\"] \n  7 -> 10 [size =\"8773632\"]\n  8 [size=\"94469120\", alpha=\"0.02\", expect_size=\"37787648\"] \n  8 -> 9 [size =\"37787648\"]\n  8 -> 10 [size =\"37787648\"]\n  9 [size=\"97113600\", alpha=\"0.15\", expect_size=\"38845440\"] \n  10 [size=\"68354560\", alpha=\"0.05\", expect_size=\"27341824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127001600\", alpha=\"0.13\", expect_size=\"50800640\"] \n  1 -> 2 [size =\"50800640\"]\n  2 [size=\"112350720\", alpha=\"0.10\", expect_size=\"44940288\"] \n  2 -> 3 [size =\"44940288\"]\n  3 [size=\"57597440\", alpha=\"0.07\", expect_size=\"23038976\"] \n  3 -> 4 [size =\"23038976\"]\n  4 [size=\"101611520\", alpha=\"0.13\", expect_size=\"40644608\"] \n  4 -> 5 [size =\"40644608\"]\n  5 [size=\"129075200\", alpha=\"0.03\", expect_size=\"51630080\"] \n  5 -> 6 [size =\"51630080\"]\n  6 [size=\"51184640\", alpha=\"0.12\", expect_size=\"20473856\"] \n  6 -> 7 [size =\"20473856\"]\n  7 [size=\"128488960\", alpha=\"0.03\", expect_size=\"51395584\"] \n  7 -> 8 [size =\"51395584\"]\n  8 [size=\"128583680\", alpha=\"0.11\", expect_size=\"51433472\"] \n  8 -> 9 [size =\"51433472\"]\n  9 [size=\"39367680\", alpha=\"0.14\", expect_size=\"15747072\"] \n  9 -> 10 [size =\"15747072\"]\n  10 [size=\"117662720\", alpha=\"0.05\", expect_size=\"47065088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56590336\", alpha=\"0.19\", expect_size=\"28295168\"] \n  1 -> 2 [size =\"28295168\"]\n  2 [size=\"100136960\", alpha=\"0.09\", expect_size=\"50068480\"] \n  2 -> 3 [size =\"50068480\"]\n  3 [size=\"80959488\", alpha=\"0.15\", expect_size=\"40479744\"] \n  3 -> 4 [size =\"40479744\"]\n  4 [size=\"65402880\", alpha=\"0.06\", expect_size=\"32701440\"] \n  4 -> 5 [size =\"32701440\"]\n  5 [size=\"95287296\", alpha=\"0.12\", expect_size=\"47643648\"] \n  5 -> 6 [size =\"47643648\"]\n  6 [size=\"38193152\", alpha=\"0.10\", expect_size=\"19096576\"] \n  6 -> 7 [size =\"19096576\"]\n  7 [size=\"74485760\", alpha=\"0.18\", expect_size=\"37242880\"] \n  7 -> 8 [size =\"37242880\"]\n  8 [size=\"48142336\", alpha=\"0.08\", expect_size=\"24071168\"] \n  8 -> 9 [size =\"24071168\"]\n  9 [size=\"37562368\", alpha=\"0.10\", expect_size=\"18781184\"] \n  9 -> 10 [size =\"18781184\"]\n  10 [size=\"27228160\", alpha=\"0.14\", expect_size=\"13614080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72304640\", alpha=\"0.05\", expect_size=\"28921856\"] \n  1 -> 2 [size =\"28921856\"]\n  2 [size=\"18618880\", alpha=\"0.17\", expect_size=\"7447552\"] \n  2 -> 3 [size =\"7447552\"]\n  3 [size=\"84101120\", alpha=\"0.13\", expect_size=\"33640448\"] \n  3 -> 4 [size =\"33640448\"]\n  4 [size=\"59799040\", alpha=\"0.08\", expect_size=\"23919616\"] \n  4 -> 5 [size =\"23919616\"]\n  5 [size=\"106593280\", alpha=\"0.11\", expect_size=\"42637312\"] \n  5 -> 6 [size =\"42637312\"]\n  6 [size=\"41200640\", alpha=\"0.07\", expect_size=\"16480256\"] \n  6 -> 7 [size =\"16480256\"]\n  7 [size=\"53967360\", alpha=\"0.03\", expect_size=\"21586944\"] \n  7 -> 8 [size =\"21586944\"]\n  8 [size=\"105190400\", alpha=\"0.15\", expect_size=\"42076160\"] \n  8 -> 9 [size =\"42076160\"]\n  9 [size=\"108026880\", alpha=\"0.05\", expect_size=\"43210752\"] \n  9 -> 10 [size =\"43210752\"]\n  10 [size=\"120734720\", alpha=\"0.11\", expect_size=\"48293888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59953152\", alpha=\"0.11\", expect_size=\"29976576\"] \n  1 -> 2 [size =\"29976576\"]\n  2 [size=\"72210432\", alpha=\"0.15\", expect_size=\"36105216\"] \n  2 -> 3 [size =\"36105216\"]\n  3 [size=\"101949440\", alpha=\"0.11\", expect_size=\"50974720\"] \n  3 -> 4 [size =\"50974720\"]\n  4 [size=\"78815232\", alpha=\"0.20\", expect_size=\"39407616\"] \n  4 -> 5 [size =\"39407616\"]\n  5 [size=\"29648896\", alpha=\"0.10\", expect_size=\"14824448\"] \n  5 -> 6 [size =\"14824448\"]\n  6 [size=\"76744704\", alpha=\"0.15\", expect_size=\"38372352\"] \n  6 -> 7 [size =\"38372352\"]\n  7 [size=\"61179904\", alpha=\"0.07\", expect_size=\"30589952\"] \n  7 -> 8 [size =\"30589952\"]\n  8 [size=\"75464704\", alpha=\"0.02\", expect_size=\"37732352\"] \n  8 -> 9 [size =\"37732352\"]\n  9 [size=\"43821056\", alpha=\"0.01\", expect_size=\"21910528\"] \n  9 -> 10 [size =\"21910528\"]\n  10 [size=\"74985472\", alpha=\"0.19\", expect_size=\"37492736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25200640\", alpha=\"0.07\", expect_size=\"7560192\"] \n  1 -> 2 [size =\"7560192\"]\n  2 [size=\"137813333\", alpha=\"0.04\", expect_size=\"41344000\"] \n  2 -> 3 [size =\"41344000\"]\n  3 [size=\"71226027\", alpha=\"0.19\", expect_size=\"21367808\"] \n  3 -> 4 [size =\"21367808\"]\n  4 [size=\"105458347\", alpha=\"0.02\", expect_size=\"31637504\"] \n  4 -> 5 [size =\"31637504\"]\n  5 [size=\"36850347\", alpha=\"0.20\", expect_size=\"11055104\"] \n  5 -> 6 [size =\"11055104\"]\n  6 [size=\"45581653\", alpha=\"0.13\", expect_size=\"13674496\"] \n  6 -> 7 [size =\"13674496\"]\n  7 [size=\"134563840\", alpha=\"0.03\", expect_size=\"40369152\"] \n  7 -> 8 [size =\"40369152\"]\n  8 [size=\"35969707\", alpha=\"0.19\", expect_size=\"10790912\"] \n  8 -> 9 [size =\"10790912\"]\n  9 [size=\"163525973\", alpha=\"0.17\", expect_size=\"49057792\"] \n  9 -> 10 [size =\"49057792\"]\n  10 [size=\"172895573\", alpha=\"0.18\", expect_size=\"51868672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161389227\", alpha=\"0.02\", expect_size=\"48416768\"] \n  1 -> 8 [size =\"48416768\"]\n  2 [size=\"71584427\", alpha=\"0.10\", expect_size=\"21475328\"] \n  3 [size=\"39400107\", alpha=\"0.01\", expect_size=\"11820032\"] \n  4 [size=\"137028267\", alpha=\"0.07\", expect_size=\"41108480\"] \n  5 [size=\"87152640\", alpha=\"0.14\", expect_size=\"26145792\"] \n  5 -> 10 [size =\"26145792\"]\n  6 [size=\"64000000\", alpha=\"0.07\", expect_size=\"19200000\"] \n  6 -> 9 [size =\"19200000\"]\n  6 -> 10 [size =\"19200000\"]\n  7 [size=\"84899840\", alpha=\"0.10\", expect_size=\"25469952\"] \n  7 -> 10 [size =\"25469952\"]\n  8 [size=\"79796907\", alpha=\"0.03\", expect_size=\"23939072\"] \n  9 [size=\"111264427\", alpha=\"0.08\", expect_size=\"33379328\"] \n  10 [size=\"19002027\", alpha=\"0.00\", expect_size=\"5700608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73467904\", alpha=\"0.06\", expect_size=\"36733952\"] \n  1 -> 2 [size =\"36733952\"]\n  2 [size=\"62482432\", alpha=\"0.01\", expect_size=\"31241216\"] \n  2 -> 3 [size =\"31241216\"]\n  3 [size=\"69703680\", alpha=\"0.04\", expect_size=\"34851840\"] \n  3 -> 4 [size =\"34851840\"]\n  4 [size=\"13744128\", alpha=\"0.12\", expect_size=\"6872064\"] \n  4 -> 5 [size =\"6872064\"]\n  5 [size=\"52318208\", alpha=\"0.09\", expect_size=\"26159104\"] \n  5 -> 6 [size =\"26159104\"]\n  6 [size=\"87468032\", alpha=\"0.04\", expect_size=\"43734016\"] \n  6 -> 7 [size =\"43734016\"]\n  7 [size=\"52649984\", alpha=\"0.03\", expect_size=\"26324992\"] \n  7 -> 8 [size =\"26324992\"]\n  8 [size=\"47941632\", alpha=\"0.06\", expect_size=\"23970816\"] \n  8 -> 9 [size =\"23970816\"]\n  9 [size=\"13604864\", alpha=\"0.05\", expect_size=\"6802432\"] \n  9 -> 10 [size =\"6802432\"]\n  10 [size=\"86642688\", alpha=\"0.13\", expect_size=\"43321344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108912640\", alpha=\"0.09\", expect_size=\"32673792\"] \n  1 -> 2 [size =\"32673792\"]\n  2 [size=\"90651307\", alpha=\"0.01\", expect_size=\"27195392\"] \n  2 -> 3 [size =\"27195392\"]\n  3 [size=\"105502720\", alpha=\"0.04\", expect_size=\"31650816\"] \n  3 -> 4 [size =\"31650816\"]\n  4 [size=\"48363520\", alpha=\"0.17\", expect_size=\"14509056\"] \n  4 -> 5 [size =\"14509056\"]\n  5 [size=\"83828053\", alpha=\"0.08\", expect_size=\"25148416\"] \n  5 -> 6 [size =\"25148416\"]\n  6 [size=\"108810240\", alpha=\"0.09\", expect_size=\"32643072\"] \n  6 -> 7 [size =\"32643072\"]\n  7 [size=\"32600747\", alpha=\"0.12\", expect_size=\"9780224\"] \n  7 -> 8 [size =\"9780224\"]\n  8 [size=\"158880427\", alpha=\"0.12\", expect_size=\"47664128\"] \n  8 -> 9 [size =\"47664128\"]\n  9 [size=\"93914453\", alpha=\"0.18\", expect_size=\"28174336\"] \n  9 -> 10 [size =\"28174336\"]\n  10 [size=\"172318720\", alpha=\"0.13\", expect_size=\"51695616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66959360\", alpha=\"0.05\", expect_size=\"33479680\"] \n  1 -> 2 [size =\"33479680\"]\n  2 [size=\"16750592\", alpha=\"0.09\", expect_size=\"8375296\"] \n  2 -> 3 [size =\"8375296\"]\n  3 [size=\"97292288\", alpha=\"0.11\", expect_size=\"48646144\"] \n  3 -> 4 [size =\"48646144\"]\n  4 [size=\"59201536\", alpha=\"0.09\", expect_size=\"29600768\"] \n  4 -> 5 [size =\"29600768\"]\n  5 [size=\"88119296\", alpha=\"0.07\", expect_size=\"44059648\"] \n  5 -> 6 [size =\"44059648\"]\n  6 [size=\"13621248\", alpha=\"0.16\", expect_size=\"6810624\"] \n  6 -> 7 [size =\"6810624\"]\n  7 [size=\"36302848\", alpha=\"0.16\", expect_size=\"18151424\"] \n  7 -> 8 [size =\"18151424\"]\n  8 [size=\"85157888\", alpha=\"0.09\", expect_size=\"42578944\"] \n  8 -> 9 [size =\"42578944\"]\n  9 [size=\"12005376\", alpha=\"0.03\", expect_size=\"6002688\"] \n  9 -> 10 [size =\"6002688\"]\n  10 [size=\"79734784\", alpha=\"0.10\", expect_size=\"39867392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21909504\", alpha=\"0.11\", expect_size=\"10954752\"] \n  1 -> 2 [size =\"10954752\"]\n  2 [size=\"26959872\", alpha=\"0.18\", expect_size=\"13479936\"] \n  2 -> 3 [size =\"13479936\"]\n  3 [size=\"37744640\", alpha=\"0.19\", expect_size=\"18872320\"] \n  3 -> 4 [size =\"18872320\"]\n  4 [size=\"43245568\", alpha=\"0.01\", expect_size=\"21622784\"] \n  4 -> 5 [size =\"21622784\"]\n  5 [size=\"32876544\", alpha=\"0.16\", expect_size=\"16438272\"] \n  5 -> 6 [size =\"16438272\"]\n  6 [size=\"10762240\", alpha=\"0.05\", expect_size=\"5381120\"] \n  6 -> 7 [size =\"5381120\"]\n  7 [size=\"55054336\", alpha=\"0.01\", expect_size=\"27527168\"] \n  7 -> 8 [size =\"27527168\"]\n  8 [size=\"77461504\", alpha=\"0.06\", expect_size=\"38730752\"] \n  8 -> 9 [size =\"38730752\"]\n  9 [size=\"65058816\", alpha=\"0.09\", expect_size=\"32529408\"] \n  9 -> 10 [size =\"32529408\"]\n  10 [size=\"12582912\", alpha=\"0.09\", expect_size=\"6291456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13870080\", alpha=\"0.12\", expect_size=\"5548032\"] \n  1 -> 6 [size =\"5548032\"]\n  2 [size=\"91325440\", alpha=\"0.02\", expect_size=\"36530176\"] \n  2 -> 7 [size =\"36530176\"]\n  2 -> 8 [size =\"36530176\"]\n  3 [size=\"20072960\", alpha=\"0.01\", expect_size=\"8029184\"] \n  3 -> 5 [size =\"8029184\"]\n  4 [size=\"55759360\", alpha=\"0.18\", expect_size=\"22303744\"] \n  4 -> 6 [size =\"22303744\"]\n  4 -> 8 [size =\"22303744\"]\n  5 [size=\"47552000\", alpha=\"0.18\", expect_size=\"19020800\"] \n  5 -> 9 [size =\"19020800\"]\n  5 -> 10 [size =\"19020800\"]\n  6 [size=\"54328320\", alpha=\"0.10\", expect_size=\"21731328\"] \n  7 [size=\"30504960\", alpha=\"0.17\", expect_size=\"12201984\"] \n  8 [size=\"103751680\", alpha=\"0.06\", expect_size=\"41500672\"] \n  8 -> 10 [size =\"41500672\"]\n  9 [size=\"84736000\", alpha=\"0.11\", expect_size=\"33894400\"] \n  10 [size=\"45160960\", alpha=\"0.15\", expect_size=\"18064384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25290752\", alpha=\"0.13\", expect_size=\"12645376\"] \n  1 -> 2 [size =\"12645376\"]\n  2 [size=\"46290944\", alpha=\"0.04\", expect_size=\"23145472\"] \n  2 -> 3 [size =\"23145472\"]\n  3 [size=\"11694080\", alpha=\"0.15\", expect_size=\"5847040\"] \n  3 -> 4 [size =\"5847040\"]\n  4 [size=\"104087552\", alpha=\"0.05\", expect_size=\"52043776\"] \n  4 -> 5 [size =\"52043776\"]\n  5 [size=\"61986816\", alpha=\"0.15\", expect_size=\"30993408\"] \n  5 -> 6 [size =\"30993408\"]\n  6 [size=\"97042432\", alpha=\"0.10\", expect_size=\"48521216\"] \n  6 -> 7 [size =\"48521216\"]\n  7 [size=\"89686016\", alpha=\"0.00\", expect_size=\"44843008\"] \n  7 -> 8 [size =\"44843008\"]\n  8 [size=\"11419648\", alpha=\"0.19\", expect_size=\"5709824\"] \n  8 -> 9 [size =\"5709824\"]\n  9 [size=\"25452544\", alpha=\"0.10\", expect_size=\"12726272\"] \n  9 -> 10 [size =\"12726272\"]\n  10 [size=\"62038016\", alpha=\"0.14\", expect_size=\"31019008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62747307\", alpha=\"0.20\", expect_size=\"18824192\"] \n  1 -> 6 [size =\"18824192\"]\n  1 -> 7 [size =\"18824192\"]\n  1 -> 8 [size =\"18824192\"]\n  2 [size=\"113172480\", alpha=\"0.16\", expect_size=\"33951744\"] \n  2 -> 8 [size =\"33951744\"]\n  3 [size=\"80298667\", alpha=\"0.14\", expect_size=\"24089600\"] \n  4 [size=\"169881600\", alpha=\"0.07\", expect_size=\"50964480\"] \n  4 -> 5 [size =\"50964480\"]\n  4 -> 7 [size =\"50964480\"]\n  4 -> 8 [size =\"50964480\"]\n  5 [size=\"117077333\", alpha=\"0.19\", expect_size=\"35123200\"] \n  5 -> 9 [size =\"35123200\"]\n  5 -> 10 [size =\"35123200\"]\n  6 [size=\"37259947\", alpha=\"0.16\", expect_size=\"11177984\"] \n  6 -> 9 [size =\"11177984\"]\n  6 -> 10 [size =\"11177984\"]\n  7 [size=\"75465387\", alpha=\"0.07\", expect_size=\"22639616\"] \n  7 -> 9 [size =\"22639616\"]\n  8 [size=\"126300160\", alpha=\"0.12\", expect_size=\"37890048\"] \n  8 -> 9 [size =\"37890048\"]\n  8 -> 10 [size =\"37890048\"]\n  9 [size=\"79622827\", alpha=\"0.16\", expect_size=\"23886848\"] \n  10 [size=\"55616853\", alpha=\"0.03\", expect_size=\"16685056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28952576\", alpha=\"0.05\", expect_size=\"14476288\"] \n  1 -> 2 [size =\"14476288\"]\n  2 [size=\"65914880\", alpha=\"0.11\", expect_size=\"32957440\"] \n  2 -> 3 [size =\"32957440\"]\n  3 [size=\"33126400\", alpha=\"0.00\", expect_size=\"16563200\"] \n  3 -> 4 [size =\"16563200\"]\n  4 [size=\"23660544\", alpha=\"0.19\", expect_size=\"11830272\"] \n  4 -> 5 [size =\"11830272\"]\n  5 [size=\"91357184\", alpha=\"0.13\", expect_size=\"45678592\"] \n  5 -> 6 [size =\"45678592\"]\n  6 [size=\"89169920\", alpha=\"0.06\", expect_size=\"44584960\"] \n  6 -> 7 [size =\"44584960\"]\n  7 [size=\"30097408\", alpha=\"0.19\", expect_size=\"15048704\"] \n  7 -> 8 [size =\"15048704\"]\n  8 [size=\"39806976\", alpha=\"0.12\", expect_size=\"19903488\"] \n  8 -> 9 [size =\"19903488\"]\n  9 [size=\"32964608\", alpha=\"0.01\", expect_size=\"16482304\"] \n  9 -> 10 [size =\"16482304\"]\n  10 [size=\"64083968\", alpha=\"0.10\", expect_size=\"32041984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97635840\", alpha=\"0.12\", expect_size=\"39054336\"] \n  1 -> 2 [size =\"39054336\"]\n  2 [size=\"35929600\", alpha=\"0.19\", expect_size=\"14371840\"] \n  2 -> 3 [size =\"14371840\"]\n  3 [size=\"84654080\", alpha=\"0.08\", expect_size=\"33861632\"] \n  3 -> 4 [size =\"33861632\"]\n  4 [size=\"68275200\", alpha=\"0.02\", expect_size=\"27310080\"] \n  4 -> 5 [size =\"27310080\"]\n  5 [size=\"44741120\", alpha=\"0.02\", expect_size=\"17896448\"] \n  5 -> 6 [size =\"17896448\"]\n  6 [size=\"48422400\", alpha=\"0.14\", expect_size=\"19368960\"] \n  6 -> 7 [size =\"19368960\"]\n  7 [size=\"119452160\", alpha=\"0.04\", expect_size=\"47780864\"] \n  7 -> 8 [size =\"47780864\"]\n  8 [size=\"39413760\", alpha=\"0.19\", expect_size=\"15765504\"] \n  8 -> 9 [size =\"15765504\"]\n  9 [size=\"106636800\", alpha=\"0.17\", expect_size=\"42654720\"] \n  9 -> 10 [size =\"42654720\"]\n  10 [size=\"113029120\", alpha=\"0.07\", expect_size=\"45211648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83763200\", alpha=\"0.15\", expect_size=\"25128960\"] \n  1 -> 4 [size =\"25128960\"]\n  2 [size=\"141578240\", alpha=\"0.08\", expect_size=\"42473472\"] \n  2 -> 3 [size =\"42473472\"]\n  2 -> 5 [size =\"42473472\"]\n  3 [size=\"132430507\", alpha=\"0.07\", expect_size=\"39729152\"] \n  4 [size=\"63344640\", alpha=\"0.18\", expect_size=\"19003392\"] \n  4 -> 6 [size =\"19003392\"]\n  5 [size=\"169007787\", alpha=\"0.06\", expect_size=\"50702336\"] \n  5 -> 6 [size =\"50702336\"]\n  5 -> 7 [size =\"50702336\"]\n  5 -> 8 [size =\"50702336\"]\n  6 [size=\"140779520\", alpha=\"0.04\", expect_size=\"42233856\"] \n  6 -> 10 [size =\"42233856\"]\n  7 [size=\"122074453\", alpha=\"0.01\", expect_size=\"36622336\"] \n  7 -> 9 [size =\"36622336\"]\n  8 [size=\"56408747\", alpha=\"0.11\", expect_size=\"16922624\"] \n  8 -> 9 [size =\"16922624\"]\n  9 [size=\"107762347\", alpha=\"0.08\", expect_size=\"32328704\"] \n  10 [size=\"113363627\", alpha=\"0.06\", expect_size=\"34009088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47434240\", alpha=\"0.10\", expect_size=\"18973696\"] \n  1 -> 4 [size =\"18973696\"]\n  1 -> 5 [size =\"18973696\"]\n  2 [size=\"116989440\", alpha=\"0.12\", expect_size=\"46795776\"] \n  2 -> 4 [size =\"46795776\"]\n  3 [size=\"101744640\", alpha=\"0.04\", expect_size=\"40697856\"] \n  4 [size=\"118901760\", alpha=\"0.06\", expect_size=\"47560704\"] \n  4 -> 6 [size =\"47560704\"]\n  4 -> 7 [size =\"47560704\"]\n  4 -> 8 [size =\"47560704\"]\n  5 [size=\"110832640\", alpha=\"0.13\", expect_size=\"44333056\"] \n  5 -> 6 [size =\"44333056\"]\n  5 -> 7 [size =\"44333056\"]\n  6 [size=\"85017600\", alpha=\"0.06\", expect_size=\"34007040\"] \n  6 -> 9 [size =\"34007040\"]\n  6 -> 10 [size =\"34007040\"]\n  7 [size=\"80688640\", alpha=\"0.11\", expect_size=\"32275456\"] \n  8 [size=\"96724480\", alpha=\"0.09\", expect_size=\"38689792\"] \n  9 [size=\"44062720\", alpha=\"0.03\", expect_size=\"17625088\"] \n  10 [size=\"14952960\", alpha=\"0.03\", expect_size=\"5981184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45373440\", alpha=\"0.01\", expect_size=\"13612032\"] \n  1 -> 2 [size =\"13612032\"]\n  2 [size=\"118712320\", alpha=\"0.09\", expect_size=\"35613696\"] \n  2 -> 3 [size =\"35613696\"]\n  3 [size=\"171219627\", alpha=\"0.11\", expect_size=\"51365888\"] \n  3 -> 4 [size =\"51365888\"]\n  4 [size=\"149930667\", alpha=\"0.13\", expect_size=\"44979200\"] \n  4 -> 5 [size =\"44979200\"]\n  5 [size=\"69283840\", alpha=\"0.08\", expect_size=\"20785152\"] \n  5 -> 6 [size =\"20785152\"]\n  6 [size=\"135543467\", alpha=\"0.11\", expect_size=\"40663040\"] \n  6 -> 7 [size =\"40663040\"]\n  7 [size=\"112339627\", alpha=\"0.07\", expect_size=\"33701888\"] \n  7 -> 8 [size =\"33701888\"]\n  8 [size=\"58985813\", alpha=\"0.02\", expect_size=\"17695744\"] \n  8 -> 9 [size =\"17695744\"]\n  9 [size=\"22667947\", alpha=\"0.10\", expect_size=\"6800384\"] \n  9 -> 10 [size =\"6800384\"]\n  10 [size=\"20664320\", alpha=\"0.00\", expect_size=\"6199296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103729152\", alpha=\"0.14\", expect_size=\"51864576\"] \n  1 -> 5 [size =\"51864576\"]\n  1 -> 7 [size =\"51864576\"]\n  2 [size=\"31006720\", alpha=\"0.17\", expect_size=\"15503360\"] \n  2 -> 6 [size =\"15503360\"]\n  3 [size=\"80752640\", alpha=\"0.06\", expect_size=\"40376320\"] \n  3 -> 6 [size =\"40376320\"]\n  3 -> 7 [size =\"40376320\"]\n  4 [size=\"102969344\", alpha=\"0.15\", expect_size=\"51484672\"] \n  5 [size=\"31899648\", alpha=\"0.02\", expect_size=\"15949824\"] \n  5 -> 8 [size =\"15949824\"]\n  6 [size=\"62851072\", alpha=\"0.00\", expect_size=\"31425536\"] \n  6 -> 9 [size =\"31425536\"]\n  7 [size=\"96104448\", alpha=\"0.01\", expect_size=\"48052224\"] \n  7 -> 10 [size =\"48052224\"]\n  8 [size=\"56078336\", alpha=\"0.14\", expect_size=\"28039168\"] \n  9 [size=\"90138624\", alpha=\"0.18\", expect_size=\"45069312\"] \n  10 [size=\"94928896\", alpha=\"0.09\", expect_size=\"47464448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105812480\", alpha=\"0.16\", expect_size=\"42324992\"] \n  1 -> 2 [size =\"42324992\"]\n  2 [size=\"24903680\", alpha=\"0.13\", expect_size=\"9961472\"] \n  2 -> 3 [size =\"9961472\"]\n  3 [size=\"19041280\", alpha=\"0.19\", expect_size=\"7616512\"] \n  3 -> 4 [size =\"7616512\"]\n  4 [size=\"101777920\", alpha=\"0.00\", expect_size=\"40711168\"] \n  4 -> 5 [size =\"40711168\"]\n  5 [size=\"116679680\", alpha=\"0.09\", expect_size=\"46671872\"] \n  5 -> 6 [size =\"46671872\"]\n  6 [size=\"86105600\", alpha=\"0.15\", expect_size=\"34442240\"] \n  6 -> 7 [size =\"34442240\"]\n  7 [size=\"86707200\", alpha=\"0.02\", expect_size=\"34682880\"] \n  7 -> 8 [size =\"34682880\"]\n  8 [size=\"49541120\", alpha=\"0.06\", expect_size=\"19816448\"] \n  8 -> 9 [size =\"19816448\"]\n  9 [size=\"64463360\", alpha=\"0.09\", expect_size=\"25785344\"] \n  9 -> 10 [size =\"25785344\"]\n  10 [size=\"57075200\", alpha=\"0.18\", expect_size=\"22830080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118343680\", alpha=\"0.13\", expect_size=\"47337472\"] \n  1 -> 3 [size =\"47337472\"]\n  2 [size=\"89446400\", alpha=\"0.02\", expect_size=\"35778560\"] \n  2 -> 4 [size =\"35778560\"]\n  2 -> 5 [size =\"35778560\"]\n  3 [size=\"48965120\", alpha=\"0.02\", expect_size=\"19586048\"] \n  3 -> 6 [size =\"19586048\"]\n  3 -> 7 [size =\"19586048\"]\n  4 [size=\"37004800\", alpha=\"0.11\", expect_size=\"14801920\"] \n  4 -> 8 [size =\"14801920\"]\n  5 [size=\"61765120\", alpha=\"0.07\", expect_size=\"24706048\"] \n  6 [size=\"80855040\", alpha=\"0.02\", expect_size=\"32342016\"] \n  6 -> 9 [size =\"32342016\"]\n  6 -> 10 [size =\"32342016\"]\n  7 [size=\"46448640\", alpha=\"0.18\", expect_size=\"18579456\"] \n  8 [size=\"81128960\", alpha=\"0.13\", expect_size=\"32451584\"] \n  9 [size=\"108480000\", alpha=\"0.07\", expect_size=\"43392000\"] \n  10 [size=\"37959680\", alpha=\"0.03\", expect_size=\"15183872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12472320\", alpha=\"0.05\", expect_size=\"6236160\"] \n  1 -> 4 [size =\"6236160\"]\n  2 [size=\"75247616\", alpha=\"0.16\", expect_size=\"37623808\"] \n  2 -> 3 [size =\"37623808\"]\n  3 [size=\"37406720\", alpha=\"0.16\", expect_size=\"18703360\"] \n  4 [size=\"29247488\", alpha=\"0.05\", expect_size=\"14623744\"] \n  4 -> 5 [size =\"14623744\"]\n  4 -> 6 [size =\"14623744\"]\n  5 [size=\"75104256\", alpha=\"0.18\", expect_size=\"37552128\"] \n  5 -> 7 [size =\"37552128\"]\n  5 -> 8 [size =\"37552128\"]\n  6 [size=\"52250624\", alpha=\"0.04\", expect_size=\"26125312\"] \n  6 -> 7 [size =\"26125312\"]\n  6 -> 8 [size =\"26125312\"]\n  7 [size=\"36278272\", alpha=\"0.11\", expect_size=\"18139136\"] \n  7 -> 9 [size =\"18139136\"]\n  7 -> 10 [size =\"18139136\"]\n  8 [size=\"100417536\", alpha=\"0.10\", expect_size=\"50208768\"] \n  8 -> 10 [size =\"50208768\"]\n  9 [size=\"36661248\", alpha=\"0.12\", expect_size=\"18330624\"] \n  10 [size=\"83286016\", alpha=\"0.00\", expect_size=\"41643008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57153536\", alpha=\"0.03\", expect_size=\"28576768\"] \n  1 -> 5 [size =\"28576768\"]\n  1 -> 7 [size =\"28576768\"]\n  1 -> 8 [size =\"28576768\"]\n  1 -> 9 [size =\"28576768\"]\n  2 [size=\"101924864\", alpha=\"0.17\", expect_size=\"50962432\"] \n  2 -> 5 [size =\"50962432\"]\n  2 -> 7 [size =\"50962432\"]\n  2 -> 8 [size =\"50962432\"]\n  2 -> 10 [size =\"50962432\"]\n  3 [size=\"86413312\", alpha=\"0.07\", expect_size=\"43206656\"] \n  3 -> 6 [size =\"43206656\"]\n  3 -> 10 [size =\"43206656\"]\n  4 [size=\"21596160\", alpha=\"0.08\", expect_size=\"10798080\"] \n  4 -> 7 [size =\"10798080\"]\n  4 -> 8 [size =\"10798080\"]\n  4 -> 10 [size =\"10798080\"]\n  5 [size=\"75806720\", alpha=\"0.03\", expect_size=\"37903360\"] \n  6 [size=\"78917632\", alpha=\"0.05\", expect_size=\"39458816\"] \n  7 [size=\"20027392\", alpha=\"0.02\", expect_size=\"10013696\"] \n  8 [size=\"60655616\", alpha=\"0.10\", expect_size=\"30327808\"] \n  9 [size=\"94582784\", alpha=\"0.04\", expect_size=\"47291392\"] \n  10 [size=\"50749440\", alpha=\"0.10\", expect_size=\"25374720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83950080\", alpha=\"0.00\", expect_size=\"33580032\"] \n  1 -> 9 [size =\"33580032\"]\n  1 -> 10 [size =\"33580032\"]\n  2 [size=\"61655040\", alpha=\"0.08\", expect_size=\"24662016\"] \n  3 [size=\"62279680\", alpha=\"0.17\", expect_size=\"24911872\"] \n  4 [size=\"65390080\", alpha=\"0.10\", expect_size=\"26156032\"] \n  4 -> 10 [size =\"26156032\"]\n  5 [size=\"93035520\", alpha=\"0.00\", expect_size=\"37214208\"] \n  5 -> 8 [size =\"37214208\"]\n  6 [size=\"43361280\", alpha=\"0.11\", expect_size=\"17344512\"] \n  7 [size=\"42524160\", alpha=\"0.10\", expect_size=\"17009664\"] \n  7 -> 9 [size =\"17009664\"]\n  8 [size=\"104921600\", alpha=\"0.19\", expect_size=\"41968640\"] \n  9 [size=\"109391360\", alpha=\"0.08\", expect_size=\"43756544\"] \n  10 [size=\"79306240\", alpha=\"0.19\", expect_size=\"31722496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81616213\", alpha=\"0.10\", expect_size=\"24484864\"] \n  1 -> 2 [size =\"24484864\"]\n  2 [size=\"60183893\", alpha=\"0.12\", expect_size=\"18055168\"] \n  2 -> 3 [size =\"18055168\"]\n  3 [size=\"81851733\", alpha=\"0.19\", expect_size=\"24555520\"] \n  3 -> 4 [size =\"24555520\"]\n  4 [size=\"151691947\", alpha=\"0.19\", expect_size=\"45507584\"] \n  4 -> 5 [size =\"45507584\"]\n  5 [size=\"19336533\", alpha=\"0.18\", expect_size=\"5800960\"] \n  5 -> 6 [size =\"5800960\"]\n  6 [size=\"71966720\", alpha=\"0.15\", expect_size=\"21590016\"] \n  6 -> 7 [size =\"21590016\"]\n  7 [size=\"146862080\", alpha=\"0.03\", expect_size=\"44058624\"] \n  7 -> 8 [size =\"44058624\"]\n  8 [size=\"43455147\", alpha=\"0.05\", expect_size=\"13036544\"] \n  8 -> 9 [size =\"13036544\"]\n  9 [size=\"167140693\", alpha=\"0.15\", expect_size=\"50142208\"] \n  9 -> 10 [size =\"50142208\"]\n  10 [size=\"108769280\", alpha=\"0.14\", expect_size=\"32630784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98222080\", alpha=\"0.06\", expect_size=\"49111040\"] \n  1 -> 2 [size =\"49111040\"]\n  2 [size=\"46233600\", alpha=\"0.01\", expect_size=\"23116800\"] \n  2 -> 3 [size =\"23116800\"]\n  3 [size=\"36642816\", alpha=\"0.17\", expect_size=\"18321408\"] \n  3 -> 4 [size =\"18321408\"]\n  4 [size=\"27738112\", alpha=\"0.12\", expect_size=\"13869056\"] \n  4 -> 5 [size =\"13869056\"]\n  5 [size=\"97746944\", alpha=\"0.18\", expect_size=\"48873472\"] \n  5 -> 6 [size =\"48873472\"]\n  6 [size=\"87296000\", alpha=\"0.13\", expect_size=\"43648000\"] \n  6 -> 7 [size =\"43648000\"]\n  7 [size=\"59416576\", alpha=\"0.17\", expect_size=\"29708288\"] \n  7 -> 8 [size =\"29708288\"]\n  8 [size=\"65230848\", alpha=\"0.12\", expect_size=\"32615424\"] \n  8 -> 9 [size =\"32615424\"]\n  9 [size=\"11370496\", alpha=\"0.11\", expect_size=\"5685248\"] \n  9 -> 10 [size =\"5685248\"]\n  10 [size=\"91973632\", alpha=\"0.12\", expect_size=\"45986816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94623744\", alpha=\"0.01\", expect_size=\"47311872\"] \n  1 -> 3 [size =\"47311872\"]\n  1 -> 4 [size =\"47311872\"]\n  1 -> 5 [size =\"47311872\"]\n  1 -> 6 [size =\"47311872\"]\n  2 [size=\"72511488\", alpha=\"0.19\", expect_size=\"36255744\"] \n  2 -> 3 [size =\"36255744\"]\n  2 -> 5 [size =\"36255744\"]\n  2 -> 6 [size =\"36255744\"]\n  3 [size=\"94416896\", alpha=\"0.20\", expect_size=\"47208448\"] \n  3 -> 7 [size =\"47208448\"]\n  3 -> 8 [size =\"47208448\"]\n  4 [size=\"66054144\", alpha=\"0.13\", expect_size=\"33027072\"] \n  4 -> 8 [size =\"33027072\"]\n  5 [size=\"21719040\", alpha=\"0.20\", expect_size=\"10859520\"] \n  5 -> 8 [size =\"10859520\"]\n  6 [size=\"93687808\", alpha=\"0.16\", expect_size=\"46843904\"] \n  6 -> 7 [size =\"46843904\"]\n  6 -> 8 [size =\"46843904\"]\n  7 [size=\"66707456\", alpha=\"0.15\", expect_size=\"33353728\"] \n  7 -> 9 [size =\"33353728\"]\n  8 [size=\"27203584\", alpha=\"0.04\", expect_size=\"13601792\"] \n  8 -> 9 [size =\"13601792\"]\n  9 [size=\"43872256\", alpha=\"0.09\", expect_size=\"21936128\"] \n  9 -> 10 [size =\"21936128\"]\n  10 [size=\"30955520\", alpha=\"0.11\", expect_size=\"15477760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54556672\", alpha=\"0.08\", expect_size=\"27278336\"] \n  1 -> 2 [size =\"27278336\"]\n  2 [size=\"65720320\", alpha=\"0.18\", expect_size=\"32860160\"] \n  2 -> 3 [size =\"32860160\"]\n  3 [size=\"57952256\", alpha=\"0.02\", expect_size=\"28976128\"] \n  3 -> 4 [size =\"28976128\"]\n  4 [size=\"88776704\", alpha=\"0.06\", expect_size=\"44388352\"] \n  4 -> 5 [size =\"44388352\"]\n  5 [size=\"79894528\", alpha=\"0.06\", expect_size=\"39947264\"] \n  5 -> 6 [size =\"39947264\"]\n  6 [size=\"79464448\", alpha=\"0.19\", expect_size=\"39732224\"] \n  6 -> 7 [size =\"39732224\"]\n  7 [size=\"94355456\", alpha=\"0.17\", expect_size=\"47177728\"] \n  7 -> 8 [size =\"47177728\"]\n  8 [size=\"46743552\", alpha=\"0.15\", expect_size=\"23371776\"] \n  8 -> 9 [size =\"23371776\"]\n  9 [size=\"66586624\", alpha=\"0.02\", expect_size=\"33293312\"] \n  9 -> 10 [size =\"33293312\"]\n  10 [size=\"94801920\", alpha=\"0.08\", expect_size=\"47400960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127129600\", alpha=\"0.18\", expect_size=\"38138880\"] \n  1 -> 2 [size =\"38138880\"]\n  2 [size=\"56593067\", alpha=\"0.17\", expect_size=\"16977920\"] \n  2 -> 3 [size =\"16977920\"]\n  3 [size=\"71434240\", alpha=\"0.19\", expect_size=\"21430272\"] \n  3 -> 4 [size =\"21430272\"]\n  4 [size=\"44103680\", alpha=\"0.06\", expect_size=\"13231104\"] \n  4 -> 5 [size =\"13231104\"]\n  5 [size=\"55214080\", alpha=\"0.07\", expect_size=\"16564224\"] \n  5 -> 6 [size =\"16564224\"]\n  6 [size=\"130085547\", alpha=\"0.09\", expect_size=\"39025664\"] \n  6 -> 7 [size =\"39025664\"]\n  7 [size=\"142830933\", alpha=\"0.12\", expect_size=\"42849280\"] \n  7 -> 8 [size =\"42849280\"]\n  8 [size=\"45318827\", alpha=\"0.19\", expect_size=\"13595648\"] \n  8 -> 9 [size =\"13595648\"]\n  9 [size=\"110165333\", alpha=\"0.16\", expect_size=\"33049600\"] \n  9 -> 10 [size =\"33049600\"]\n  10 [size=\"64989867\", alpha=\"0.18\", expect_size=\"19496960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70228480\", alpha=\"0.04\", expect_size=\"28091392\"] \n  1 -> 2 [size =\"28091392\"]\n  2 [size=\"94113280\", alpha=\"0.16\", expect_size=\"37645312\"] \n  2 -> 3 [size =\"37645312\"]\n  3 [size=\"114972160\", alpha=\"0.20\", expect_size=\"45988864\"] \n  3 -> 4 [size =\"45988864\"]\n  4 [size=\"30794240\", alpha=\"0.18\", expect_size=\"12317696\"] \n  4 -> 5 [size =\"12317696\"]\n  5 [size=\"29255680\", alpha=\"0.15\", expect_size=\"11702272\"] \n  5 -> 6 [size =\"11702272\"]\n  6 [size=\"34836480\", alpha=\"0.17\", expect_size=\"13934592\"] \n  6 -> 7 [size =\"13934592\"]\n  7 [size=\"79992320\", alpha=\"0.11\", expect_size=\"31996928\"] \n  7 -> 8 [size =\"31996928\"]\n  8 [size=\"104811520\", alpha=\"0.02\", expect_size=\"41924608\"] \n  8 -> 9 [size =\"41924608\"]\n  9 [size=\"86899200\", alpha=\"0.07\", expect_size=\"34759680\"] \n  9 -> 10 [size =\"34759680\"]\n  10 [size=\"89039360\", alpha=\"0.05\", expect_size=\"35615744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98119680\", alpha=\"0.05\", expect_size=\"29435904\"] \n  1 -> 3 [size =\"29435904\"]\n  1 -> 4 [size =\"29435904\"]\n  1 -> 6 [size =\"29435904\"]\n  2 [size=\"72512853\", alpha=\"0.17\", expect_size=\"21753856\"] \n  2 -> 5 [size =\"21753856\"]\n  3 [size=\"97935360\", alpha=\"0.10\", expect_size=\"29380608\"] \n  3 -> 7 [size =\"29380608\"]\n  4 [size=\"143370240\", alpha=\"0.15\", expect_size=\"43011072\"] \n  4 -> 8 [size =\"43011072\"]\n  5 [size=\"55070720\", alpha=\"0.18\", expect_size=\"16521216\"] \n  5 -> 8 [size =\"16521216\"]\n  6 [size=\"172950187\", alpha=\"0.01\", expect_size=\"51885056\"] \n  6 -> 9 [size =\"51885056\"]\n  7 [size=\"105625600\", alpha=\"0.05\", expect_size=\"31687680\"] \n  8 [size=\"121972053\", alpha=\"0.05\", expect_size=\"36591616\"] \n  8 -> 10 [size =\"36591616\"]\n  9 [size=\"139830613\", alpha=\"0.06\", expect_size=\"41949184\"] \n  9 -> 10 [size =\"41949184\"]\n  10 [size=\"50517333\", alpha=\"0.19\", expect_size=\"15155200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41968640\", alpha=\"0.18\", expect_size=\"16787456\"] \n  1 -> 8 [size =\"16787456\"]\n  1 -> 9 [size =\"16787456\"]\n  2 [size=\"91491840\", alpha=\"0.19\", expect_size=\"36596736\"] \n  2 -> 8 [size =\"36596736\"]\n  3 [size=\"84938240\", alpha=\"0.11\", expect_size=\"33975296\"] \n  3 -> 6 [size =\"33975296\"]\n  3 -> 7 [size =\"33975296\"]\n  3 -> 9 [size =\"33975296\"]\n  3 -> 10 [size =\"33975296\"]\n  4 [size=\"94973440\", alpha=\"0.18\", expect_size=\"37989376\"] \n  4 -> 9 [size =\"37989376\"]\n  4 -> 10 [size =\"37989376\"]\n  5 [size=\"17016320\", alpha=\"0.02\", expect_size=\"6806528\"] \n  5 -> 8 [size =\"6806528\"]\n  5 -> 10 [size =\"6806528\"]\n  6 [size=\"42245120\", alpha=\"0.16\", expect_size=\"16898048\"] \n  7 [size=\"128376320\", alpha=\"0.09\", expect_size=\"51350528\"] \n  8 [size=\"23078400\", alpha=\"0.12\", expect_size=\"9231360\"] \n  9 [size=\"57797120\", alpha=\"0.19\", expect_size=\"23118848\"] \n  10 [size=\"118369280\", alpha=\"0.02\", expect_size=\"47347712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15794176\", alpha=\"0.00\", expect_size=\"7897088\"] \n  1 -> 2 [size =\"7897088\"]\n  2 [size=\"15798272\", alpha=\"0.10\", expect_size=\"7899136\"] \n  2 -> 3 [size =\"7899136\"]\n  3 [size=\"24049664\", alpha=\"0.07\", expect_size=\"12024832\"] \n  3 -> 4 [size =\"12024832\"]\n  4 [size=\"85413888\", alpha=\"0.11\", expect_size=\"42706944\"] \n  4 -> 5 [size =\"42706944\"]\n  5 [size=\"64313344\", alpha=\"0.08\", expect_size=\"32156672\"] \n  5 -> 6 [size =\"32156672\"]\n  6 [size=\"15792128\", alpha=\"0.04\", expect_size=\"7896064\"] \n  6 -> 7 [size =\"7896064\"]\n  7 [size=\"32686080\", alpha=\"0.18\", expect_size=\"16343040\"] \n  7 -> 8 [size =\"16343040\"]\n  8 [size=\"100935680\", alpha=\"0.11\", expect_size=\"50467840\"] \n  8 -> 9 [size =\"50467840\"]\n  9 [size=\"15415296\", alpha=\"0.07\", expect_size=\"7707648\"] \n  9 -> 10 [size =\"7707648\"]\n  10 [size=\"20228096\", alpha=\"0.08\", expect_size=\"10114048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43481600\", alpha=\"0.11\", expect_size=\"17392640\"] \n  1 -> 10 [size =\"17392640\"]\n  2 [size=\"103695360\", alpha=\"0.18\", expect_size=\"41478144\"] \n  2 -> 7 [size =\"41478144\"]\n  2 -> 8 [size =\"41478144\"]\n  2 -> 9 [size =\"41478144\"]\n  2 -> 10 [size =\"41478144\"]\n  3 [size=\"29076480\", alpha=\"0.11\", expect_size=\"11630592\"] \n  3 -> 9 [size =\"11630592\"]\n  4 [size=\"13350400\", alpha=\"0.03\", expect_size=\"5340160\"] \n  4 -> 8 [size =\"5340160\"]\n  4 -> 9 [size =\"5340160\"]\n  4 -> 10 [size =\"5340160\"]\n  5 [size=\"129799680\", alpha=\"0.10\", expect_size=\"51919872\"] \n  5 -> 7 [size =\"51919872\"]\n  5 -> 9 [size =\"51919872\"]\n  5 -> 10 [size =\"51919872\"]\n  6 [size=\"79843840\", alpha=\"0.02\", expect_size=\"31937536\"] \n  6 -> 7 [size =\"31937536\"]\n  6 -> 9 [size =\"31937536\"]\n  6 -> 10 [size =\"31937536\"]\n  7 [size=\"111672320\", alpha=\"0.19\", expect_size=\"44668928\"] \n  8 [size=\"64512000\", alpha=\"0.10\", expect_size=\"25804800\"] \n  9 [size=\"62904320\", alpha=\"0.08\", expect_size=\"25161728\"] \n  10 [size=\"66739200\", alpha=\"0.17\", expect_size=\"26695680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82640213\", alpha=\"0.10\", expect_size=\"24792064\"] \n  1 -> 4 [size =\"24792064\"]\n  2 [size=\"96064853\", alpha=\"0.02\", expect_size=\"28819456\"] \n  2 -> 5 [size =\"28819456\"]\n  3 [size=\"110339413\", alpha=\"0.03\", expect_size=\"33101824\"] \n  3 -> 6 [size =\"33101824\"]\n  4 [size=\"136864427\", alpha=\"0.17\", expect_size=\"41059328\"] \n  5 [size=\"74905600\", alpha=\"0.13\", expect_size=\"22471680\"] \n  5 -> 7 [size =\"22471680\"]\n  6 [size=\"164625067\", alpha=\"0.05\", expect_size=\"49387520\"] \n  6 -> 7 [size =\"49387520\"]\n  6 -> 8 [size =\"49387520\"]\n  7 [size=\"76458667\", alpha=\"0.16\", expect_size=\"22937600\"] \n  8 [size=\"90746880\", alpha=\"0.10\", expect_size=\"27224064\"] \n  8 -> 9 [size =\"27224064\"]\n  8 -> 10 [size =\"27224064\"]\n  9 [size=\"32675840\", alpha=\"0.17\", expect_size=\"9802752\"] \n  10 [size=\"135744853\", alpha=\"0.04\", expect_size=\"40723456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141277867\", alpha=\"0.04\", expect_size=\"42383360\"] \n  2 [size=\"32426667\", alpha=\"0.16\", expect_size=\"9728000\"] \n  2 -> 4 [size =\"9728000\"]\n  2 -> 5 [size =\"9728000\"]\n  2 -> 6 [size =\"9728000\"]\n  3 [size=\"114257920\", alpha=\"0.19\", expect_size=\"34277376\"] \n  3 -> 4 [size =\"34277376\"]\n  3 -> 6 [size =\"34277376\"]\n  3 -> 6 [size =\"34277376\"]\n  4 [size=\"154197333\", alpha=\"0.16\", expect_size=\"46259200\"] \n  5 [size=\"133191680\", alpha=\"0.10\", expect_size=\"39957504\"] \n  5 -> 8 [size =\"39957504\"]\n  6 [size=\"138168320\", alpha=\"0.07\", expect_size=\"41450496\"] \n  6 -> 7 [size =\"41450496\"]\n  6 -> 8 [size =\"41450496\"]\n  7 [size=\"63016960\", alpha=\"0.05\", expect_size=\"18905088\"] \n  7 -> 10 [size =\"18905088\"]\n  8 [size=\"164420267\", alpha=\"0.08\", expect_size=\"49326080\"] \n  8 -> 9 [size =\"49326080\"]\n  8 -> 10 [size =\"49326080\"]\n  9 [size=\"63460693\", alpha=\"0.12\", expect_size=\"19038208\"] \n  10 [size=\"43489280\", alpha=\"0.01\", expect_size=\"13046784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116623360\", alpha=\"0.15\", expect_size=\"34987008\"] \n  1 -> 2 [size =\"34987008\"]\n  2 [size=\"169813333\", alpha=\"0.14\", expect_size=\"50944000\"] \n  2 -> 3 [size =\"50944000\"]\n  3 [size=\"110953813\", alpha=\"0.08\", expect_size=\"33286144\"] \n  3 -> 4 [size =\"33286144\"]\n  4 [size=\"109660160\", alpha=\"0.10\", expect_size=\"32898048\"] \n  4 -> 5 [size =\"32898048\"]\n  5 [size=\"47346347\", alpha=\"0.04\", expect_size=\"14203904\"] \n  5 -> 6 [size =\"14203904\"]\n  6 [size=\"157026987\", alpha=\"0.06\", expect_size=\"47108096\"] \n  6 -> 7 [size =\"47108096\"]\n  7 [size=\"170277547\", alpha=\"0.06\", expect_size=\"51083264\"] \n  7 -> 8 [size =\"51083264\"]\n  8 [size=\"27043840\", alpha=\"0.08\", expect_size=\"8113152\"] \n  8 -> 9 [size =\"8113152\"]\n  9 [size=\"129853440\", alpha=\"0.10\", expect_size=\"38956032\"] \n  9 -> 10 [size =\"38956032\"]\n  10 [size=\"41472000\", alpha=\"0.09\", expect_size=\"12441600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63119360\", alpha=\"0.11\", expect_size=\"18935808\"] \n  1 -> 6 [size =\"18935808\"]\n  2 [size=\"41966933\", alpha=\"0.02\", expect_size=\"12590080\"] \n  2 -> 7 [size =\"12590080\"]\n  3 [size=\"116326400\", alpha=\"0.06\", expect_size=\"34897920\"] \n  3 -> 6 [size =\"34897920\"]\n  3 -> 8 [size =\"34897920\"]\n  4 [size=\"100689920\", alpha=\"0.18\", expect_size=\"30206976\"] \n  4 -> 6 [size =\"30206976\"]\n  4 -> 7 [size =\"30206976\"]\n  5 [size=\"113216853\", alpha=\"0.14\", expect_size=\"33965056\"] \n  5 -> 6 [size =\"33965056\"]\n  5 -> 7 [size =\"33965056\"]\n  6 [size=\"61709653\", alpha=\"0.08\", expect_size=\"18512896\"] \n  6 -> 9 [size =\"18512896\"]\n  6 -> 10 [size =\"18512896\"]\n  7 [size=\"29276160\", alpha=\"0.08\", expect_size=\"8782848\"] \n  7 -> 9 [size =\"8782848\"]\n  7 -> 10 [size =\"8782848\"]\n  8 [size=\"43622400\", alpha=\"0.12\", expect_size=\"13086720\"] \n  8 -> 9 [size =\"13086720\"]\n  9 [size=\"121852587\", alpha=\"0.09\", expect_size=\"36555776\"] \n  10 [size=\"101628587\", alpha=\"0.10\", expect_size=\"30488576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33623040\", alpha=\"0.07\", expect_size=\"13449216\"] \n  1 -> 2 [size =\"13449216\"]\n  2 [size=\"93547520\", alpha=\"0.11\", expect_size=\"37419008\"] \n  2 -> 3 [size =\"37419008\"]\n  3 [size=\"110740480\", alpha=\"0.04\", expect_size=\"44296192\"] \n  3 -> 4 [size =\"44296192\"]\n  4 [size=\"41541120\", alpha=\"0.04\", expect_size=\"16616448\"] \n  4 -> 5 [size =\"16616448\"]\n  5 [size=\"73203200\", alpha=\"0.13\", expect_size=\"29281280\"] \n  5 -> 6 [size =\"29281280\"]\n  6 [size=\"50081280\", alpha=\"0.02\", expect_size=\"20032512\"] \n  6 -> 7 [size =\"20032512\"]\n  7 [size=\"113523200\", alpha=\"0.06\", expect_size=\"45409280\"] \n  7 -> 8 [size =\"45409280\"]\n  8 [size=\"116295680\", alpha=\"0.12\", expect_size=\"46518272\"] \n  8 -> 9 [size =\"46518272\"]\n  9 [size=\"108602880\", alpha=\"0.11\", expect_size=\"43441152\"] \n  9 -> 10 [size =\"43441152\"]\n  10 [size=\"35814400\", alpha=\"0.05\", expect_size=\"14325760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168645973\", alpha=\"0.18\", expect_size=\"50593792\"] \n  1 -> 8 [size =\"50593792\"]\n  1 -> 9 [size =\"50593792\"]\n  2 [size=\"62163627\", alpha=\"0.19\", expect_size=\"18649088\"] \n  3 [size=\"53364053\", alpha=\"0.04\", expect_size=\"16009216\"] \n  3 -> 9 [size =\"16009216\"]\n  4 [size=\"153763840\", alpha=\"0.07\", expect_size=\"46129152\"] \n  5 [size=\"54623573\", alpha=\"0.04\", expect_size=\"16387072\"] \n  5 -> 8 [size =\"16387072\"]\n  6 [size=\"93385387\", alpha=\"0.10\", expect_size=\"28015616\"] \n  6 -> 9 [size =\"28015616\"]\n  6 -> 10 [size =\"28015616\"]\n  7 [size=\"75410773\", alpha=\"0.03\", expect_size=\"22623232\"] \n  7 -> 9 [size =\"22623232\"]\n  7 -> 10 [size =\"22623232\"]\n  8 [size=\"75427840\", alpha=\"0.03\", expect_size=\"22628352\"] \n  9 [size=\"124412587\", alpha=\"0.20\", expect_size=\"37323776\"] \n  10 [size=\"144356693\", alpha=\"0.12\", expect_size=\"43307008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79192747\", alpha=\"0.15\", expect_size=\"23757824\"] \n  1 -> 9 [size =\"23757824\"]\n  1 -> 10 [size =\"23757824\"]\n  2 [size=\"83783680\", alpha=\"0.19\", expect_size=\"25135104\"] \n  2 -> 9 [size =\"25135104\"]\n  3 [size=\"65580373\", alpha=\"0.14\", expect_size=\"19674112\"] \n  3 -> 9 [size =\"19674112\"]\n  3 -> 10 [size =\"19674112\"]\n  4 [size=\"166949547\", alpha=\"0.06\", expect_size=\"50084864\"] \n  4 -> 9 [size =\"50084864\"]\n  4 -> 10 [size =\"50084864\"]\n  5 [size=\"158255787\", alpha=\"0.04\", expect_size=\"47476736\"] \n  5 -> 10 [size =\"47476736\"]\n  6 [size=\"134615040\", alpha=\"0.01\", expect_size=\"40384512\"] \n  6 -> 9 [size =\"40384512\"]\n  7 [size=\"50991787\", alpha=\"0.08\", expect_size=\"15297536\"] \n  7 -> 9 [size =\"15297536\"]\n  7 -> 10 [size =\"15297536\"]\n  8 [size=\"159027200\", alpha=\"0.15\", expect_size=\"47708160\"] \n  8 -> 9 [size =\"47708160\"]\n  9 [size=\"167181653\", alpha=\"0.11\", expect_size=\"50154496\"] \n  10 [size=\"54456320\", alpha=\"0.05\", expect_size=\"16336896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130524160\", alpha=\"0.12\", expect_size=\"52209664\"] \n  2 [size=\"55633920\", alpha=\"0.01\", expect_size=\"22253568\"] \n  3 [size=\"61903360\", alpha=\"0.04\", expect_size=\"24761344\"] \n  3 -> 10 [size =\"24761344\"]\n  4 [size=\"103992320\", alpha=\"0.18\", expect_size=\"41596928\"] \n  4 -> 9 [size =\"41596928\"]\n  5 [size=\"57226240\", alpha=\"0.01\", expect_size=\"22890496\"] \n  5 -> 9 [size =\"22890496\"]\n  6 [size=\"103749120\", alpha=\"0.18\", expect_size=\"41499648\"] \n  6 -> 9 [size =\"41499648\"]\n  6 -> 10 [size =\"41499648\"]\n  7 [size=\"113630720\", alpha=\"0.06\", expect_size=\"45452288\"] \n  7 -> 10 [size =\"45452288\"]\n  8 [size=\"88094720\", alpha=\"0.04\", expect_size=\"35237888\"] \n  9 [size=\"56028160\", alpha=\"0.04\", expect_size=\"22411264\"] \n  10 [size=\"113866240\", alpha=\"0.03\", expect_size=\"45546496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71992320\", alpha=\"0.11\", expect_size=\"28796928\"] \n  1 -> 4 [size =\"28796928\"]\n  2 [size=\"29621760\", alpha=\"0.06\", expect_size=\"11848704\"] \n  2 -> 4 [size =\"11848704\"]\n  3 [size=\"99783680\", alpha=\"0.05\", expect_size=\"39913472\"] \n  3 -> 4 [size =\"39913472\"]\n  3 -> 5 [size =\"39913472\"]\n  4 [size=\"71833600\", alpha=\"0.06\", expect_size=\"28733440\"] \n  4 -> 6 [size =\"28733440\"]\n  4 -> 7 [size =\"28733440\"]\n  5 [size=\"122124800\", alpha=\"0.07\", expect_size=\"48849920\"] \n  5 -> 6 [size =\"48849920\"]\n  5 -> 7 [size =\"48849920\"]\n  6 [size=\"39170560\", alpha=\"0.11\", expect_size=\"15668224\"] \n  6 -> 8 [size =\"15668224\"]\n  6 -> 9 [size =\"15668224\"]\n  6 -> 10 [size =\"15668224\"]\n  7 [size=\"100119040\", alpha=\"0.11\", expect_size=\"40047616\"] \n  7 -> 8 [size =\"40047616\"]\n  7 -> 10 [size =\"40047616\"]\n  8 [size=\"96097280\", alpha=\"0.15\", expect_size=\"38438912\"] \n  9 [size=\"63142400\", alpha=\"0.10\", expect_size=\"25256960\"] \n  10 [size=\"25131520\", alpha=\"0.12\", expect_size=\"10052608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33884160\", alpha=\"0.15\", expect_size=\"16942080\"] \n  1 -> 3 [size =\"16942080\"]\n  2 [size=\"70940672\", alpha=\"0.15\", expect_size=\"35470336\"] \n  2 -> 4 [size =\"35470336\"]\n  3 [size=\"50499584\", alpha=\"0.12\", expect_size=\"25249792\"] \n  3 -> 5 [size =\"25249792\"]\n  4 [size=\"90476544\", alpha=\"0.06\", expect_size=\"45238272\"] \n  4 -> 6 [size =\"45238272\"]\n  5 [size=\"89200640\", alpha=\"0.11\", expect_size=\"44600320\"] \n  5 -> 8 [size =\"44600320\"]\n  5 -> 9 [size =\"44600320\"]\n  6 [size=\"72015872\", alpha=\"0.03\", expect_size=\"36007936\"] \n  6 -> 7 [size =\"36007936\"]\n  7 [size=\"70193152\", alpha=\"0.03\", expect_size=\"35096576\"] \n  7 -> 10 [size =\"35096576\"]\n  8 [size=\"78241792\", alpha=\"0.12\", expect_size=\"39120896\"] \n  8 -> 10 [size =\"39120896\"]\n  9 [size=\"22532096\", alpha=\"0.20\", expect_size=\"11266048\"] \n  10 [size=\"39165952\", alpha=\"0.20\", expect_size=\"19582976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82329600\", alpha=\"0.07\", expect_size=\"41164800\"] \n  1 -> 2 [size =\"41164800\"]\n  2 [size=\"75718656\", alpha=\"0.03\", expect_size=\"37859328\"] \n  2 -> 3 [size =\"37859328\"]\n  3 [size=\"23140352\", alpha=\"0.02\", expect_size=\"11570176\"] \n  3 -> 4 [size =\"11570176\"]\n  4 [size=\"90562560\", alpha=\"0.15\", expect_size=\"45281280\"] \n  4 -> 5 [size =\"45281280\"]\n  5 [size=\"12867584\", alpha=\"0.19\", expect_size=\"6433792\"] \n  5 -> 6 [size =\"6433792\"]\n  6 [size=\"19218432\", alpha=\"0.10\", expect_size=\"9609216\"] \n  6 -> 7 [size =\"9609216\"]\n  7 [size=\"82272256\", alpha=\"0.19\", expect_size=\"41136128\"] \n  7 -> 8 [size =\"41136128\"]\n  8 [size=\"44980224\", alpha=\"0.15\", expect_size=\"22490112\"] \n  8 -> 9 [size =\"22490112\"]\n  9 [size=\"57538560\", alpha=\"0.19\", expect_size=\"28769280\"] \n  9 -> 10 [size =\"28769280\"]\n  10 [size=\"56590336\", alpha=\"0.04\", expect_size=\"28295168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37580800\", alpha=\"0.03\", expect_size=\"18790400\"] \n  1 -> 2 [size =\"18790400\"]\n  2 [size=\"39088128\", alpha=\"0.11\", expect_size=\"19544064\"] \n  2 -> 3 [size =\"19544064\"]\n  3 [size=\"58363904\", alpha=\"0.10\", expect_size=\"29181952\"] \n  3 -> 4 [size =\"29181952\"]\n  4 [size=\"27873280\", alpha=\"0.07\", expect_size=\"13936640\"] \n  4 -> 5 [size =\"13936640\"]\n  5 [size=\"99692544\", alpha=\"0.08\", expect_size=\"49846272\"] \n  5 -> 6 [size =\"49846272\"]\n  6 [size=\"16932864\", alpha=\"0.19\", expect_size=\"8466432\"] \n  6 -> 7 [size =\"8466432\"]\n  7 [size=\"101660672\", alpha=\"0.14\", expect_size=\"50830336\"] \n  7 -> 8 [size =\"50830336\"]\n  8 [size=\"37988352\", alpha=\"0.02\", expect_size=\"18994176\"] \n  8 -> 9 [size =\"18994176\"]\n  9 [size=\"17000448\", alpha=\"0.05\", expect_size=\"8500224\"] \n  9 -> 10 [size =\"8500224\"]\n  10 [size=\"37480448\", alpha=\"0.02\", expect_size=\"18740224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142305280\", alpha=\"0.19\", expect_size=\"42691584\"] \n  1 -> 2 [size =\"42691584\"]\n  2 [size=\"79114240\", alpha=\"0.09\", expect_size=\"23734272\"] \n  2 -> 3 [size =\"23734272\"]\n  3 [size=\"73000960\", alpha=\"0.17\", expect_size=\"21900288\"] \n  3 -> 4 [size =\"21900288\"]\n  4 [size=\"172721493\", alpha=\"0.19\", expect_size=\"51816448\"] \n  4 -> 5 [size =\"51816448\"]\n  5 [size=\"68747947\", alpha=\"0.07\", expect_size=\"20624384\"] \n  5 -> 6 [size =\"20624384\"]\n  6 [size=\"174315520\", alpha=\"0.06\", expect_size=\"52294656\"] \n  6 -> 7 [size =\"52294656\"]\n  7 [size=\"114288640\", alpha=\"0.08\", expect_size=\"34286592\"] \n  7 -> 8 [size =\"34286592\"]\n  8 [size=\"41137493\", alpha=\"0.08\", expect_size=\"12341248\"] \n  8 -> 9 [size =\"12341248\"]\n  9 [size=\"105499307\", alpha=\"0.19\", expect_size=\"31649792\"] \n  9 -> 10 [size =\"31649792\"]\n  10 [size=\"94279680\", alpha=\"0.18\", expect_size=\"28283904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145803947\", alpha=\"0.15\", expect_size=\"43741184\"] \n  1 -> 2 [size =\"43741184\"]\n  2 [size=\"96027307\", alpha=\"0.18\", expect_size=\"28808192\"] \n  2 -> 3 [size =\"28808192\"]\n  3 [size=\"130887680\", alpha=\"0.15\", expect_size=\"39266304\"] \n  3 -> 4 [size =\"39266304\"]\n  4 [size=\"145920000\", alpha=\"0.01\", expect_size=\"43776000\"] \n  4 -> 5 [size =\"43776000\"]\n  5 [size=\"55043413\", alpha=\"0.16\", expect_size=\"16513024\"] \n  5 -> 6 [size =\"16513024\"]\n  6 [size=\"90559147\", alpha=\"0.14\", expect_size=\"27167744\"] \n  6 -> 7 [size =\"27167744\"]\n  7 [size=\"66471253\", alpha=\"0.13\", expect_size=\"19941376\"] \n  7 -> 8 [size =\"19941376\"]\n  8 [size=\"27805013\", alpha=\"0.05\", expect_size=\"8341504\"] \n  8 -> 9 [size =\"8341504\"]\n  9 [size=\"114701653\", alpha=\"0.05\", expect_size=\"34410496\"] \n  9 -> 10 [size =\"34410496\"]\n  10 [size=\"60357973\", alpha=\"0.07\", expect_size=\"18107392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52766720\", alpha=\"0.01\", expect_size=\"21106688\"] \n  1 -> 2 [size =\"21106688\"]\n  2 [size=\"25425920\", alpha=\"0.16\", expect_size=\"10170368\"] \n  2 -> 3 [size =\"10170368\"]\n  3 [size=\"23226880\", alpha=\"0.13\", expect_size=\"9290752\"] \n  3 -> 4 [size =\"9290752\"]\n  4 [size=\"88824320\", alpha=\"0.13\", expect_size=\"35529728\"] \n  4 -> 5 [size =\"35529728\"]\n  5 [size=\"30330880\", alpha=\"0.05\", expect_size=\"12132352\"] \n  5 -> 6 [size =\"12132352\"]\n  6 [size=\"122193920\", alpha=\"0.02\", expect_size=\"48877568\"] \n  6 -> 7 [size =\"48877568\"]\n  7 [size=\"71841280\", alpha=\"0.17\", expect_size=\"28736512\"] \n  7 -> 8 [size =\"28736512\"]\n  8 [size=\"127357440\", alpha=\"0.12\", expect_size=\"50942976\"] \n  8 -> 9 [size =\"50942976\"]\n  9 [size=\"91064320\", alpha=\"0.01\", expect_size=\"36425728\"] \n  9 -> 10 [size =\"36425728\"]\n  10 [size=\"17461760\", alpha=\"0.05\", expect_size=\"6984704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154296320\", alpha=\"0.05\", expect_size=\"46288896\"] \n  1 -> 2 [size =\"46288896\"]\n  2 [size=\"138007893\", alpha=\"0.04\", expect_size=\"41402368\"] \n  2 -> 3 [size =\"41402368\"]\n  3 [size=\"39307947\", alpha=\"0.15\", expect_size=\"11792384\"] \n  3 -> 4 [size =\"11792384\"]\n  4 [size=\"117760000\", alpha=\"0.02\", expect_size=\"35328000\"] \n  4 -> 5 [size =\"35328000\"]\n  5 [size=\"138144427\", alpha=\"0.09\", expect_size=\"41443328\"] \n  5 -> 6 [size =\"41443328\"]\n  6 [size=\"155644587\", alpha=\"0.14\", expect_size=\"46693376\"] \n  6 -> 7 [size =\"46693376\"]\n  7 [size=\"142516907\", alpha=\"0.05\", expect_size=\"42755072\"] \n  7 -> 8 [size =\"42755072\"]\n  8 [size=\"150415360\", alpha=\"0.18\", expect_size=\"45124608\"] \n  8 -> 9 [size =\"45124608\"]\n  9 [size=\"96631467\", alpha=\"0.10\", expect_size=\"28989440\"] \n  9 -> 10 [size =\"28989440\"]\n  10 [size=\"91224747\", alpha=\"0.12\", expect_size=\"27367424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83319467\", alpha=\"0.08\", expect_size=\"24995840\"] \n  1 -> 8 [size =\"24995840\"]\n  2 [size=\"29702827\", alpha=\"0.16\", expect_size=\"8910848\"] \n  2 -> 9 [size =\"8910848\"]\n  2 -> 10 [size =\"8910848\"]\n  3 [size=\"22756693\", alpha=\"0.14\", expect_size=\"6827008\"] \n  3 -> 9 [size =\"6827008\"]\n  4 [size=\"61723307\", alpha=\"0.12\", expect_size=\"18516992\"] \n  4 -> 8 [size =\"18516992\"]\n  4 -> 10 [size =\"18516992\"]\n  5 [size=\"45038933\", alpha=\"0.02\", expect_size=\"13511680\"] \n  5 -> 8 [size =\"13511680\"]\n  6 [size=\"91269120\", alpha=\"0.18\", expect_size=\"27380736\"] \n  7 [size=\"99942400\", alpha=\"0.08\", expect_size=\"29982720\"] \n  7 -> 9 [size =\"29982720\"]\n  7 -> 10 [size =\"29982720\"]\n  8 [size=\"125754027\", alpha=\"0.05\", expect_size=\"37726208\"] \n  9 [size=\"25299627\", alpha=\"0.01\", expect_size=\"7589888\"] \n  10 [size=\"42420907\", alpha=\"0.13\", expect_size=\"12726272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17045504\", alpha=\"0.05\", expect_size=\"8522752\"] \n  1 -> 7 [size =\"8522752\"]\n  1 -> 8 [size =\"8522752\"]\n  1 -> 10 [size =\"8522752\"]\n  2 [size=\"79308800\", alpha=\"0.00\", expect_size=\"39654400\"] \n  2 -> 8 [size =\"39654400\"]\n  2 -> 9 [size =\"39654400\"]\n  2 -> 10 [size =\"39654400\"]\n  3 [size=\"42868736\", alpha=\"0.05\", expect_size=\"21434368\"] \n  4 [size=\"28872704\", alpha=\"0.09\", expect_size=\"14436352\"] \n  4 -> 8 [size =\"14436352\"]\n  4 -> 9 [size =\"14436352\"]\n  5 [size=\"31678464\", alpha=\"0.02\", expect_size=\"15839232\"] \n  6 [size=\"59283456\", alpha=\"0.16\", expect_size=\"29641728\"] \n  6 -> 7 [size =\"29641728\"]\n  6 -> 9 [size =\"29641728\"]\n  6 -> 10 [size =\"29641728\"]\n  7 [size=\"59545600\", alpha=\"0.01\", expect_size=\"29772800\"] \n  8 [size=\"68859904\", alpha=\"0.03\", expect_size=\"34429952\"] \n  9 [size=\"20729856\", alpha=\"0.04\", expect_size=\"10364928\"] \n  10 [size=\"52486144\", alpha=\"0.10\", expect_size=\"26243072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56364373\", alpha=\"0.17\", expect_size=\"16909312\"] \n  2 [size=\"105253547\", alpha=\"0.03\", expect_size=\"31576064\"] \n  3 [size=\"52142080\", alpha=\"0.18\", expect_size=\"15642624\"] \n  4 [size=\"151087787\", alpha=\"0.07\", expect_size=\"45326336\"] \n  5 [size=\"130426880\", alpha=\"0.10\", expect_size=\"39128064\"] \n  5 -> 9 [size =\"39128064\"]\n  5 -> 10 [size =\"39128064\"]\n  6 [size=\"63685973\", alpha=\"0.19\", expect_size=\"19105792\"] \n  6 -> 10 [size =\"19105792\"]\n  7 [size=\"132625067\", alpha=\"0.13\", expect_size=\"39787520\"] \n  8 [size=\"126450347\", alpha=\"0.17\", expect_size=\"37935104\"] \n  8 -> 10 [size =\"37935104\"]\n  9 [size=\"73482240\", alpha=\"0.09\", expect_size=\"22044672\"] \n  10 [size=\"68529493\", alpha=\"0.05\", expect_size=\"20558848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160058027\", alpha=\"0.17\", expect_size=\"48017408\"] \n  1 -> 2 [size =\"48017408\"]\n  2 [size=\"91668480\", alpha=\"0.11\", expect_size=\"27500544\"] \n  2 -> 3 [size =\"27500544\"]\n  3 [size=\"153214293\", alpha=\"0.10\", expect_size=\"45964288\"] \n  3 -> 4 [size =\"45964288\"]\n  4 [size=\"140492800\", alpha=\"0.16\", expect_size=\"42147840\"] \n  4 -> 5 [size =\"42147840\"]\n  5 [size=\"29262507\", alpha=\"0.08\", expect_size=\"8778752\"] \n  5 -> 6 [size =\"8778752\"]\n  6 [size=\"141950293\", alpha=\"0.19\", expect_size=\"42585088\"] \n  6 -> 7 [size =\"42585088\"]\n  7 [size=\"42629120\", alpha=\"0.04\", expect_size=\"12788736\"] \n  7 -> 8 [size =\"12788736\"]\n  8 [size=\"118548480\", alpha=\"0.01\", expect_size=\"35564544\"] \n  8 -> 9 [size =\"35564544\"]\n  9 [size=\"108694187\", alpha=\"0.11\", expect_size=\"32608256\"] \n  9 -> 10 [size =\"32608256\"]\n  10 [size=\"172957013\", alpha=\"0.08\", expect_size=\"51887104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67971072\", alpha=\"0.13\", expect_size=\"33985536\"] \n  2 [size=\"41615360\", alpha=\"0.02\", expect_size=\"20807680\"] \n  2 -> 5 [size =\"20807680\"]\n  3 [size=\"50755584\", alpha=\"0.13\", expect_size=\"25377792\"] \n  3 -> 4 [size =\"25377792\"]\n  3 -> 5 [size =\"25377792\"]\n  4 [size=\"64923648\", alpha=\"0.09\", expect_size=\"32461824\"] \n  4 -> 6 [size =\"32461824\"]\n  4 -> 7 [size =\"32461824\"]\n  5 [size=\"32014336\", alpha=\"0.18\", expect_size=\"16007168\"] \n  5 -> 6 [size =\"16007168\"]\n  5 -> 7 [size =\"16007168\"]\n  5 -> 8 [size =\"16007168\"]\n  6 [size=\"20684800\", alpha=\"0.18\", expect_size=\"10342400\"] \n  6 -> 9 [size =\"10342400\"]\n  7 [size=\"103266304\", alpha=\"0.17\", expect_size=\"51633152\"] \n  7 -> 9 [size =\"51633152\"]\n  7 -> 10 [size =\"51633152\"]\n  8 [size=\"81530880\", alpha=\"0.07\", expect_size=\"40765440\"] \n  8 -> 9 [size =\"40765440\"]\n  8 -> 10 [size =\"40765440\"]\n  9 [size=\"43319296\", alpha=\"0.09\", expect_size=\"21659648\"] \n  10 [size=\"14944256\", alpha=\"0.08\", expect_size=\"7472128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102559744\", alpha=\"0.17\", expect_size=\"51279872\"] \n  1 -> 3 [size =\"51279872\"]\n  1 -> 4 [size =\"51279872\"]\n  2 [size=\"49956864\", alpha=\"0.05\", expect_size=\"24978432\"] \n  2 -> 4 [size =\"24978432\"]\n  3 [size=\"99563520\", alpha=\"0.10\", expect_size=\"49781760\"] \n  3 -> 5 [size =\"49781760\"]\n  3 -> 6 [size =\"49781760\"]\n  3 -> 7 [size =\"49781760\"]\n  4 [size=\"74524672\", alpha=\"0.17\", expect_size=\"37262336\"] \n  4 -> 5 [size =\"37262336\"]\n  4 -> 7 [size =\"37262336\"]\n  5 [size=\"18933760\", alpha=\"0.16\", expect_size=\"9466880\"] \n  5 -> 8 [size =\"9466880\"]\n  5 -> 9 [size =\"9466880\"]\n  5 -> 10 [size =\"9466880\"]\n  6 [size=\"51056640\", alpha=\"0.10\", expect_size=\"25528320\"] \n  6 -> 8 [size =\"25528320\"]\n  6 -> 9 [size =\"25528320\"]\n  7 [size=\"94187520\", alpha=\"0.16\", expect_size=\"47093760\"] \n  7 -> 8 [size =\"47093760\"]\n  7 -> 9 [size =\"47093760\"]\n  8 [size=\"77453312\", alpha=\"0.05\", expect_size=\"38726656\"] \n  9 [size=\"13428736\", alpha=\"0.13\", expect_size=\"6714368\"] \n  10 [size=\"52686848\", alpha=\"0.04\", expect_size=\"26343424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32855040\", alpha=\"0.17\", expect_size=\"13142016\"] \n  1 -> 8 [size =\"13142016\"]\n  1 -> 9 [size =\"13142016\"]\n  1 -> 10 [size =\"13142016\"]\n  2 [size=\"51266560\", alpha=\"0.10\", expect_size=\"20506624\"] \n  2 -> 6 [size =\"20506624\"]\n  2 -> 9 [size =\"20506624\"]\n  2 -> 10 [size =\"20506624\"]\n  3 [size=\"32335360\", alpha=\"0.19\", expect_size=\"12934144\"] \n  3 -> 6 [size =\"12934144\"]\n  3 -> 7 [size =\"12934144\"]\n  3 -> 9 [size =\"12934144\"]\n  3 -> 10 [size =\"12934144\"]\n  4 [size=\"88980480\", alpha=\"0.06\", expect_size=\"35592192\"] \n  4 -> 5 [size =\"35592192\"]\n  4 -> 6 [size =\"35592192\"]\n  4 -> 7 [size =\"35592192\"]\n  4 -> 10 [size =\"35592192\"]\n  5 [size=\"30732800\", alpha=\"0.19\", expect_size=\"12293120\"] \n  6 [size=\"120023040\", alpha=\"0.05\", expect_size=\"48009216\"] \n  7 [size=\"108590080\", alpha=\"0.06\", expect_size=\"43436032\"] \n  8 [size=\"32023040\", alpha=\"0.03\", expect_size=\"12809216\"] \n  9 [size=\"16995840\", alpha=\"0.04\", expect_size=\"6798336\"] \n  10 [size=\"52561920\", alpha=\"0.07\", expect_size=\"21024768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14594560\", alpha=\"0.18\", expect_size=\"5837824\"] \n  2 [size=\"128913920\", alpha=\"0.07\", expect_size=\"51565568\"] \n  2 -> 4 [size =\"51565568\"]\n  2 -> 5 [size =\"51565568\"]\n  3 [size=\"73016320\", alpha=\"0.06\", expect_size=\"29206528\"] \n  4 [size=\"76569600\", alpha=\"0.02\", expect_size=\"30627840\"] \n  4 -> 6 [size =\"30627840\"]\n  4 -> 7 [size =\"30627840\"]\n  4 -> 8 [size =\"30627840\"]\n  5 [size=\"114191360\", alpha=\"0.03\", expect_size=\"45676544\"] \n  5 -> 6 [size =\"45676544\"]\n  5 -> 8 [size =\"45676544\"]\n  6 [size=\"19947520\", alpha=\"0.13\", expect_size=\"7979008\"] \n  6 -> 9 [size =\"7979008\"]\n  7 [size=\"48578560\", alpha=\"0.18\", expect_size=\"19431424\"] \n  7 -> 10 [size =\"19431424\"]\n  8 [size=\"19888640\", alpha=\"0.12\", expect_size=\"7955456\"] \n  8 -> 9 [size =\"7955456\"]\n  9 [size=\"92142080\", alpha=\"0.09\", expect_size=\"36856832\"] \n  10 [size=\"83013120\", alpha=\"0.03\", expect_size=\"33205248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60270592\", alpha=\"0.12\", expect_size=\"30135296\"] \n  1 -> 2 [size =\"30135296\"]\n  2 [size=\"23920640\", alpha=\"0.20\", expect_size=\"11960320\"] \n  2 -> 3 [size =\"11960320\"]\n  3 [size=\"31354880\", alpha=\"0.00\", expect_size=\"15677440\"] \n  3 -> 4 [size =\"15677440\"]\n  4 [size=\"93804544\", alpha=\"0.05\", expect_size=\"46902272\"] \n  4 -> 5 [size =\"46902272\"]\n  5 [size=\"30093312\", alpha=\"0.17\", expect_size=\"15046656\"] \n  5 -> 6 [size =\"15046656\"]\n  6 [size=\"59351040\", alpha=\"0.10\", expect_size=\"29675520\"] \n  6 -> 7 [size =\"29675520\"]\n  7 [size=\"91369472\", alpha=\"0.14\", expect_size=\"45684736\"] \n  7 -> 8 [size =\"45684736\"]\n  8 [size=\"104552448\", alpha=\"0.10\", expect_size=\"52276224\"] \n  8 -> 9 [size =\"52276224\"]\n  9 [size=\"66455552\", alpha=\"0.07\", expect_size=\"33227776\"] \n  9 -> 10 [size =\"33227776\"]\n  10 [size=\"75776000\", alpha=\"0.03\", expect_size=\"37888000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157853013\", alpha=\"0.15\", expect_size=\"47355904\"] \n  1 -> 7 [size =\"47355904\"]\n  1 -> 9 [size =\"47355904\"]\n  1 -> 10 [size =\"47355904\"]\n  2 [size=\"66577067\", alpha=\"0.13\", expect_size=\"19973120\"] \n  2 -> 8 [size =\"19973120\"]\n  2 -> 10 [size =\"19973120\"]\n  3 [size=\"161191253\", alpha=\"0.01\", expect_size=\"48357376\"] \n  3 -> 6 [size =\"48357376\"]\n  3 -> 7 [size =\"48357376\"]\n  3 -> 8 [size =\"48357376\"]\n  3 -> 9 [size =\"48357376\"]\n  4 [size=\"33450667\", alpha=\"0.15\", expect_size=\"10035200\"] \n  4 -> 9 [size =\"10035200\"]\n  4 -> 10 [size =\"10035200\"]\n  5 [size=\"29289813\", alpha=\"0.02\", expect_size=\"8786944\"] \n  5 -> 6 [size =\"8786944\"]\n  5 -> 8 [size =\"8786944\"]\n  5 -> 10 [size =\"8786944\"]\n  6 [size=\"62443520\", alpha=\"0.14\", expect_size=\"18733056\"] \n  7 [size=\"90091520\", alpha=\"0.12\", expect_size=\"27027456\"] \n  8 [size=\"96317440\", alpha=\"0.20\", expect_size=\"28895232\"] \n  9 [size=\"83759787\", alpha=\"0.01\", expect_size=\"25127936\"] \n  10 [size=\"42523307\", alpha=\"0.18\", expect_size=\"12756992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104312832\", alpha=\"0.02\", expect_size=\"52156416\"] \n  1 -> 8 [size =\"52156416\"]\n  1 -> 10 [size =\"52156416\"]\n  2 [size=\"34048000\", alpha=\"0.15\", expect_size=\"17024000\"] \n  2 -> 8 [size =\"17024000\"]\n  2 -> 9 [size =\"17024000\"]\n  3 [size=\"59547648\", alpha=\"0.11\", expect_size=\"29773824\"] \n  3 -> 9 [size =\"29773824\"]\n  4 [size=\"50100224\", alpha=\"0.17\", expect_size=\"25050112\"] \n  4 -> 7 [size =\"25050112\"]\n  5 [size=\"62564352\", alpha=\"0.19\", expect_size=\"31282176\"] \n  5 -> 9 [size =\"31282176\"]\n  6 [size=\"86638592\", alpha=\"0.01\", expect_size=\"43319296\"] \n  6 -> 8 [size =\"43319296\"]\n  7 [size=\"66893824\", alpha=\"0.10\", expect_size=\"33446912\"] \n  8 [size=\"79697920\", alpha=\"0.09\", expect_size=\"39848960\"] \n  9 [size=\"88739840\", alpha=\"0.05\", expect_size=\"44369920\"] \n  10 [size=\"83458048\", alpha=\"0.06\", expect_size=\"41729024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83476480\", alpha=\"0.20\", expect_size=\"33390592\"] \n  2 [size=\"94241280\", alpha=\"0.17\", expect_size=\"37696512\"] \n  2 -> 8 [size =\"37696512\"]\n  2 -> 10 [size =\"37696512\"]\n  3 [size=\"87032320\", alpha=\"0.12\", expect_size=\"34812928\"] \n  3 -> 7 [size =\"34812928\"]\n  3 -> 10 [size =\"34812928\"]\n  4 [size=\"100239360\", alpha=\"0.09\", expect_size=\"40095744\"] \n  4 -> 8 [size =\"40095744\"]\n  5 [size=\"16555520\", alpha=\"0.06\", expect_size=\"6622208\"] \n  6 [size=\"51873280\", alpha=\"0.07\", expect_size=\"20749312\"] \n  6 -> 7 [size =\"20749312\"]\n  6 -> 8 [size =\"20749312\"]\n  6 -> 9 [size =\"20749312\"]\n  7 [size=\"99737600\", alpha=\"0.18\", expect_size=\"39895040\"] \n  8 [size=\"127080960\", alpha=\"0.18\", expect_size=\"50832384\"] \n  9 [size=\"41136640\", alpha=\"0.08\", expect_size=\"16454656\"] \n  10 [size=\"58856960\", alpha=\"0.04\", expect_size=\"23542784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89010176\", alpha=\"0.13\", expect_size=\"44505088\"] \n  1 -> 5 [size =\"44505088\"]\n  1 -> 6 [size =\"44505088\"]\n  2 [size=\"46155776\", alpha=\"0.09\", expect_size=\"23077888\"] \n  2 -> 4 [size =\"23077888\"]\n  2 -> 5 [size =\"23077888\"]\n  3 [size=\"92497920\", alpha=\"0.10\", expect_size=\"46248960\"] \n  3 -> 4 [size =\"46248960\"]\n  3 -> 6 [size =\"46248960\"]\n  3 -> 7 [size =\"46248960\"]\n  4 [size=\"84498432\", alpha=\"0.14\", expect_size=\"42249216\"] \n  4 -> 9 [size =\"42249216\"]\n  5 [size=\"21311488\", alpha=\"0.11\", expect_size=\"10655744\"] \n  5 -> 8 [size =\"10655744\"]\n  5 -> 9 [size =\"10655744\"]\n  6 [size=\"68806656\", alpha=\"0.13\", expect_size=\"34403328\"] \n  7 [size=\"20910080\", alpha=\"0.07\", expect_size=\"10455040\"] \n  7 -> 8 [size =\"10455040\"]\n  7 -> 10 [size =\"10455040\"]\n  8 [size=\"78483456\", alpha=\"0.00\", expect_size=\"39241728\"] \n  9 [size=\"70285312\", alpha=\"0.11\", expect_size=\"35142656\"] \n  10 [size=\"38182912\", alpha=\"0.13\", expect_size=\"19091456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67514368\", alpha=\"0.06\", expect_size=\"33757184\"] \n  1 -> 2 [size =\"33757184\"]\n  2 [size=\"63129600\", alpha=\"0.14\", expect_size=\"31564800\"] \n  2 -> 3 [size =\"31564800\"]\n  3 [size=\"27056128\", alpha=\"0.01\", expect_size=\"13528064\"] \n  3 -> 4 [size =\"13528064\"]\n  4 [size=\"74622976\", alpha=\"0.04\", expect_size=\"37311488\"] \n  4 -> 5 [size =\"37311488\"]\n  5 [size=\"89081856\", alpha=\"0.04\", expect_size=\"44540928\"] \n  5 -> 6 [size =\"44540928\"]\n  6 [size=\"44025856\", alpha=\"0.11\", expect_size=\"22012928\"] \n  6 -> 7 [size =\"22012928\"]\n  7 [size=\"20025344\", alpha=\"0.03\", expect_size=\"10012672\"] \n  7 -> 8 [size =\"10012672\"]\n  8 [size=\"20709376\", alpha=\"0.17\", expect_size=\"10354688\"] \n  8 -> 9 [size =\"10354688\"]\n  9 [size=\"82790400\", alpha=\"0.09\", expect_size=\"41395200\"] \n  9 -> 10 [size =\"41395200\"]\n  10 [size=\"34441216\", alpha=\"0.04\", expect_size=\"17220608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27788800\", alpha=\"0.12\", expect_size=\"11115520\"] \n  1 -> 2 [size =\"11115520\"]\n  2 [size=\"32340480\", alpha=\"0.12\", expect_size=\"12936192\"] \n  2 -> 3 [size =\"12936192\"]\n  3 [size=\"17948160\", alpha=\"0.19\", expect_size=\"7179264\"] \n  3 -> 4 [size =\"7179264\"]\n  4 [size=\"13839360\", alpha=\"0.06\", expect_size=\"5535744\"] \n  4 -> 5 [size =\"5535744\"]\n  5 [size=\"100656640\", alpha=\"0.13\", expect_size=\"40262656\"] \n  5 -> 6 [size =\"40262656\"]\n  6 [size=\"109670400\", alpha=\"0.09\", expect_size=\"43868160\"] \n  6 -> 7 [size =\"43868160\"]\n  7 [size=\"47516160\", alpha=\"0.17\", expect_size=\"19006464\"] \n  7 -> 8 [size =\"19006464\"]\n  8 [size=\"15078400\", alpha=\"0.03\", expect_size=\"6031360\"] \n  8 -> 9 [size =\"6031360\"]\n  9 [size=\"109345280\", alpha=\"0.15\", expect_size=\"43738112\"] \n  9 -> 10 [size =\"43738112\"]\n  10 [size=\"75235840\", alpha=\"0.02\", expect_size=\"30094336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70518784\", alpha=\"0.08\", expect_size=\"35259392\"] \n  1 -> 2 [size =\"35259392\"]\n  2 [size=\"34799616\", alpha=\"0.00\", expect_size=\"17399808\"] \n  2 -> 3 [size =\"17399808\"]\n  3 [size=\"47595520\", alpha=\"0.16\", expect_size=\"23797760\"] \n  3 -> 4 [size =\"23797760\"]\n  4 [size=\"87527424\", alpha=\"0.08\", expect_size=\"43763712\"] \n  4 -> 5 [size =\"43763712\"]\n  5 [size=\"70055936\", alpha=\"0.02\", expect_size=\"35027968\"] \n  5 -> 6 [size =\"35027968\"]\n  6 [size=\"34736128\", alpha=\"0.07\", expect_size=\"17368064\"] \n  6 -> 7 [size =\"17368064\"]\n  7 [size=\"100337664\", alpha=\"0.01\", expect_size=\"50168832\"] \n  7 -> 8 [size =\"50168832\"]\n  8 [size=\"94339072\", alpha=\"0.20\", expect_size=\"47169536\"] \n  8 -> 9 [size =\"47169536\"]\n  9 [size=\"40826880\", alpha=\"0.10\", expect_size=\"20413440\"] \n  9 -> 10 [size =\"20413440\"]\n  10 [size=\"33779712\", alpha=\"0.09\", expect_size=\"16889856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34772480\", alpha=\"0.00\", expect_size=\"13908992\"] \n  1 -> 2 [size =\"13908992\"]\n  2 [size=\"128294400\", alpha=\"0.07\", expect_size=\"51317760\"] \n  2 -> 3 [size =\"51317760\"]\n  3 [size=\"87877120\", alpha=\"0.12\", expect_size=\"35150848\"] \n  3 -> 4 [size =\"35150848\"]\n  4 [size=\"128811520\", alpha=\"0.03\", expect_size=\"51524608\"] \n  4 -> 5 [size =\"51524608\"]\n  5 [size=\"67732480\", alpha=\"0.11\", expect_size=\"27092992\"] \n  5 -> 6 [size =\"27092992\"]\n  6 [size=\"95549440\", alpha=\"0.03\", expect_size=\"38219776\"] \n  6 -> 7 [size =\"38219776\"]\n  7 [size=\"113574400\", alpha=\"0.01\", expect_size=\"45429760\"] \n  7 -> 8 [size =\"45429760\"]\n  8 [size=\"98882560\", alpha=\"0.14\", expect_size=\"39553024\"] \n  8 -> 9 [size =\"39553024\"]\n  9 [size=\"65832960\", alpha=\"0.02\", expect_size=\"26333184\"] \n  9 -> 10 [size =\"26333184\"]\n  10 [size=\"51315200\", alpha=\"0.15\", expect_size=\"20526080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40788480\", alpha=\"0.04\", expect_size=\"16315392\"] \n  1 -> 9 [size =\"16315392\"]\n  1 -> 10 [size =\"16315392\"]\n  2 [size=\"53836800\", alpha=\"0.08\", expect_size=\"21534720\"] \n  2 -> 8 [size =\"21534720\"]\n  2 -> 10 [size =\"21534720\"]\n  3 [size=\"107681280\", alpha=\"0.04\", expect_size=\"43072512\"] \n  3 -> 7 [size =\"43072512\"]\n  3 -> 9 [size =\"43072512\"]\n  4 [size=\"35804160\", alpha=\"0.02\", expect_size=\"14321664\"] \n  5 [size=\"65218560\", alpha=\"0.20\", expect_size=\"26087424\"] \n  5 -> 9 [size =\"26087424\"]\n  6 [size=\"73948160\", alpha=\"0.06\", expect_size=\"29579264\"] \n  6 -> 9 [size =\"29579264\"]\n  7 [size=\"27479040\", alpha=\"0.17\", expect_size=\"10991616\"] \n  8 [size=\"65308160\", alpha=\"0.13\", expect_size=\"26123264\"] \n  9 [size=\"46400000\", alpha=\"0.11\", expect_size=\"18560000\"] \n  10 [size=\"35128320\", alpha=\"0.13\", expect_size=\"14051328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105427627\", alpha=\"0.06\", expect_size=\"31628288\"] \n  1 -> 4 [size =\"31628288\"]\n  1 -> 6 [size =\"31628288\"]\n  2 [size=\"170021547\", alpha=\"0.04\", expect_size=\"51006464\"] \n  2 -> 4 [size =\"51006464\"]\n  2 -> 5 [size =\"51006464\"]\n  3 [size=\"51049813\", alpha=\"0.02\", expect_size=\"15314944\"] \n  3 -> 5 [size =\"15314944\"]\n  4 [size=\"44840960\", alpha=\"0.04\", expect_size=\"13452288\"] \n  4 -> 7 [size =\"13452288\"]\n  4 -> 8 [size =\"13452288\"]\n  5 [size=\"72376320\", alpha=\"0.08\", expect_size=\"21712896\"] \n  5 -> 8 [size =\"21712896\"]\n  5 -> 9 [size =\"21712896\"]\n  6 [size=\"35580587\", alpha=\"0.17\", expect_size=\"10674176\"] \n  6 -> 7 [size =\"10674176\"]\n  6 -> 9 [size =\"10674176\"]\n  7 [size=\"136871253\", alpha=\"0.19\", expect_size=\"41061376\"] \n  8 [size=\"32955733\", alpha=\"0.08\", expect_size=\"9886720\"] \n  8 -> 10 [size =\"9886720\"]\n  9 [size=\"127781547\", alpha=\"0.00\", expect_size=\"38334464\"] \n  10 [size=\"97211733\", alpha=\"0.17\", expect_size=\"29163520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99788800\", alpha=\"0.18\", expect_size=\"39915520\"] \n  1 -> 2 [size =\"39915520\"]\n  2 [size=\"105172480\", alpha=\"0.12\", expect_size=\"42068992\"] \n  2 -> 3 [size =\"42068992\"]\n  3 [size=\"38556160\", alpha=\"0.15\", expect_size=\"15422464\"] \n  3 -> 4 [size =\"15422464\"]\n  4 [size=\"124339200\", alpha=\"0.09\", expect_size=\"49735680\"] \n  4 -> 5 [size =\"49735680\"]\n  5 [size=\"92098560\", alpha=\"0.08\", expect_size=\"36839424\"] \n  5 -> 6 [size =\"36839424\"]\n  6 [size=\"79490560\", alpha=\"0.16\", expect_size=\"31796224\"] \n  6 -> 7 [size =\"31796224\"]\n  7 [size=\"118446080\", alpha=\"0.05\", expect_size=\"47378432\"] \n  7 -> 8 [size =\"47378432\"]\n  8 [size=\"62220800\", alpha=\"0.14\", expect_size=\"24888320\"] \n  8 -> 9 [size =\"24888320\"]\n  9 [size=\"19489280\", alpha=\"0.08\", expect_size=\"7795712\"] \n  9 -> 10 [size =\"7795712\"]\n  10 [size=\"24194560\", alpha=\"0.08\", expect_size=\"9677824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90013013\", alpha=\"0.16\", expect_size=\"27003904\"] \n  1 -> 4 [size =\"27003904\"]\n  1 -> 5 [size =\"27003904\"]\n  2 [size=\"70833493\", alpha=\"0.04\", expect_size=\"21250048\"] \n  2 -> 5 [size =\"21250048\"]\n  3 [size=\"121671680\", alpha=\"0.20\", expect_size=\"36501504\"] \n  3 -> 5 [size =\"36501504\"]\n  4 [size=\"113821013\", alpha=\"0.16\", expect_size=\"34146304\"] \n  4 -> 6 [size =\"34146304\"]\n  4 -> 7 [size =\"34146304\"]\n  4 -> 8 [size =\"34146304\"]\n  5 [size=\"157685760\", alpha=\"0.09\", expect_size=\"47305728\"] \n  5 -> 6 [size =\"47305728\"]\n  5 -> 7 [size =\"47305728\"]\n  5 -> 8 [size =\"47305728\"]\n  6 [size=\"132413440\", alpha=\"0.03\", expect_size=\"39724032\"] \n  6 -> 10 [size =\"39724032\"]\n  7 [size=\"143824213\", alpha=\"0.05\", expect_size=\"43147264\"] \n  8 [size=\"118282240\", alpha=\"0.02\", expect_size=\"35484672\"] \n  8 -> 9 [size =\"35484672\"]\n  9 [size=\"28276053\", alpha=\"0.10\", expect_size=\"8482816\"] \n  10 [size=\"130863787\", alpha=\"0.01\", expect_size=\"39259136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44561067\", alpha=\"0.07\", expect_size=\"13368320\"] \n  1 -> 7 [size =\"13368320\"]\n  1 -> 8 [size =\"13368320\"]\n  1 -> 10 [size =\"13368320\"]\n  2 [size=\"113445547\", alpha=\"0.19\", expect_size=\"34033664\"] \n  2 -> 7 [size =\"34033664\"]\n  2 -> 10 [size =\"34033664\"]\n  3 [size=\"156709547\", alpha=\"0.14\", expect_size=\"47012864\"] \n  3 -> 7 [size =\"47012864\"]\n  3 -> 10 [size =\"47012864\"]\n  4 [size=\"88780800\", alpha=\"0.14\", expect_size=\"26634240\"] \n  4 -> 7 [size =\"26634240\"]\n  4 -> 8 [size =\"26634240\"]\n  4 -> 10 [size =\"26634240\"]\n  5 [size=\"20398080\", alpha=\"0.05\", expect_size=\"6119424\"] \n  5 -> 7 [size =\"6119424\"]\n  5 -> 8 [size =\"6119424\"]\n  6 [size=\"96003413\", alpha=\"0.01\", expect_size=\"28801024\"] \n  6 -> 8 [size =\"28801024\"]\n  6 -> 8 [size =\"28801024\"]\n  6 -> 9 [size =\"28801024\"]\n  6 -> 10 [size =\"28801024\"]\n  7 [size=\"67662507\", alpha=\"0.04\", expect_size=\"20298752\"] \n  8 [size=\"76847787\", alpha=\"0.12\", expect_size=\"23054336\"] \n  9 [size=\"173056000\", alpha=\"0.06\", expect_size=\"51916800\"] \n  10 [size=\"49315840\", alpha=\"0.03\", expect_size=\"14794752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29839360\", alpha=\"0.12\", expect_size=\"14919680\"] \n  1 -> 2 [size =\"14919680\"]\n  2 [size=\"41146368\", alpha=\"0.13\", expect_size=\"20573184\"] \n  2 -> 3 [size =\"20573184\"]\n  3 [size=\"22163456\", alpha=\"0.05\", expect_size=\"11081728\"] \n  3 -> 4 [size =\"11081728\"]\n  4 [size=\"93980672\", alpha=\"0.17\", expect_size=\"46990336\"] \n  4 -> 5 [size =\"46990336\"]\n  5 [size=\"69189632\", alpha=\"0.14\", expect_size=\"34594816\"] \n  5 -> 6 [size =\"34594816\"]\n  6 [size=\"16779264\", alpha=\"0.18\", expect_size=\"8389632\"] \n  6 -> 7 [size =\"8389632\"]\n  7 [size=\"52824064\", alpha=\"0.19\", expect_size=\"26412032\"] \n  7 -> 8 [size =\"26412032\"]\n  8 [size=\"13875200\", alpha=\"0.15\", expect_size=\"6937600\"] \n  8 -> 9 [size =\"6937600\"]\n  9 [size=\"91947008\", alpha=\"0.16\", expect_size=\"45973504\"] \n  9 -> 10 [size =\"45973504\"]\n  10 [size=\"66963456\", alpha=\"0.16\", expect_size=\"33481728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45803520\", alpha=\"0.20\", expect_size=\"18321408\"] \n  2 [size=\"84958720\", alpha=\"0.14\", expect_size=\"33983488\"] \n  3 [size=\"20298240\", alpha=\"0.05\", expect_size=\"8119296\"] \n  3 -> 10 [size =\"8119296\"]\n  4 [size=\"111900160\", alpha=\"0.03\", expect_size=\"44760064\"] \n  4 -> 7 [size =\"44760064\"]\n  4 -> 8 [size =\"44760064\"]\n  4 -> 9 [size =\"44760064\"]\n  4 -> 10 [size =\"44760064\"]\n  5 [size=\"93921280\", alpha=\"0.16\", expect_size=\"37568512\"] \n  5 -> 9 [size =\"37568512\"]\n  6 [size=\"80005120\", alpha=\"0.19\", expect_size=\"32002048\"] \n  6 -> 8 [size =\"32002048\"]\n  7 [size=\"48596480\", alpha=\"0.17\", expect_size=\"19438592\"] \n  8 [size=\"24064000\", alpha=\"0.11\", expect_size=\"9625600\"] \n  9 [size=\"123453440\", alpha=\"0.11\", expect_size=\"49381376\"] \n  10 [size=\"94000640\", alpha=\"0.16\", expect_size=\"37600256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53152427\", alpha=\"0.18\", expect_size=\"15945728\"] \n  1 -> 2 [size =\"15945728\"]\n  2 [size=\"164089173\", alpha=\"0.11\", expect_size=\"49226752\"] \n  2 -> 3 [size =\"49226752\"]\n  3 [size=\"94825813\", alpha=\"0.03\", expect_size=\"28447744\"] \n  3 -> 4 [size =\"28447744\"]\n  4 [size=\"51237547\", alpha=\"0.10\", expect_size=\"15371264\"] \n  4 -> 5 [size =\"15371264\"]\n  5 [size=\"101720747\", alpha=\"0.03\", expect_size=\"30516224\"] \n  5 -> 6 [size =\"30516224\"]\n  6 [size=\"101676373\", alpha=\"0.06\", expect_size=\"30502912\"] \n  6 -> 7 [size =\"30502912\"]\n  7 [size=\"119115093\", alpha=\"0.14\", expect_size=\"35734528\"] \n  7 -> 8 [size =\"35734528\"]\n  8 [size=\"167396693\", alpha=\"0.02\", expect_size=\"50219008\"] \n  8 -> 9 [size =\"50219008\"]\n  9 [size=\"162822827\", alpha=\"0.02\", expect_size=\"48846848\"] \n  9 -> 10 [size =\"48846848\"]\n  10 [size=\"156743680\", alpha=\"0.14\", expect_size=\"47023104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33308672\", alpha=\"0.04\", expect_size=\"16654336\"] \n  1 -> 2 [size =\"16654336\"]\n  2 [size=\"60616704\", alpha=\"0.20\", expect_size=\"30308352\"] \n  2 -> 3 [size =\"30308352\"]\n  3 [size=\"43495424\", alpha=\"0.10\", expect_size=\"21747712\"] \n  3 -> 4 [size =\"21747712\"]\n  4 [size=\"13522944\", alpha=\"0.12\", expect_size=\"6761472\"] \n  4 -> 5 [size =\"6761472\"]\n  5 [size=\"51433472\", alpha=\"0.02\", expect_size=\"25716736\"] \n  5 -> 6 [size =\"25716736\"]\n  6 [size=\"56256512\", alpha=\"0.04\", expect_size=\"28128256\"] \n  6 -> 7 [size =\"28128256\"]\n  7 [size=\"40708096\", alpha=\"0.18\", expect_size=\"20354048\"] \n  7 -> 8 [size =\"20354048\"]\n  8 [size=\"89870336\", alpha=\"0.08\", expect_size=\"44935168\"] \n  8 -> 9 [size =\"44935168\"]\n  9 [size=\"52834304\", alpha=\"0.07\", expect_size=\"26417152\"] \n  9 -> 10 [size =\"26417152\"]\n  10 [size=\"69707776\", alpha=\"0.11\", expect_size=\"34853888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82909184\", alpha=\"0.10\", expect_size=\"41454592\"] \n  1 -> 2 [size =\"41454592\"]\n  2 [size=\"71120896\", alpha=\"0.08\", expect_size=\"35560448\"] \n  2 -> 3 [size =\"35560448\"]\n  3 [size=\"31449088\", alpha=\"0.08\", expect_size=\"15724544\"] \n  3 -> 4 [size =\"15724544\"]\n  4 [size=\"45094912\", alpha=\"0.14\", expect_size=\"22547456\"] \n  4 -> 5 [size =\"22547456\"]\n  5 [size=\"43755520\", alpha=\"0.12\", expect_size=\"21877760\"] \n  5 -> 6 [size =\"21877760\"]\n  6 [size=\"101017600\", alpha=\"0.02\", expect_size=\"50508800\"] \n  6 -> 7 [size =\"50508800\"]\n  7 [size=\"12781568\", alpha=\"0.14\", expect_size=\"6390784\"] \n  7 -> 8 [size =\"6390784\"]\n  8 [size=\"35604480\", alpha=\"0.06\", expect_size=\"17802240\"] \n  8 -> 9 [size =\"17802240\"]\n  9 [size=\"59478016\", alpha=\"0.03\", expect_size=\"29739008\"] \n  9 -> 10 [size =\"29739008\"]\n  10 [size=\"50731008\", alpha=\"0.20\", expect_size=\"25365504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92761600\", alpha=\"0.03\", expect_size=\"37104640\"] \n  1 -> 4 [size =\"37104640\"]\n  1 -> 5 [size =\"37104640\"]\n  2 [size=\"117652480\", alpha=\"0.04\", expect_size=\"47060992\"] \n  3 [size=\"46609920\", alpha=\"0.06\", expect_size=\"18643968\"] \n  3 -> 4 [size =\"18643968\"]\n  3 -> 5 [size =\"18643968\"]\n  4 [size=\"100779520\", alpha=\"0.16\", expect_size=\"40311808\"] \n  4 -> 6 [size =\"40311808\"]\n  4 -> 7 [size =\"40311808\"]\n  5 [size=\"81745920\", alpha=\"0.06\", expect_size=\"32698368\"] \n  6 [size=\"35061760\", alpha=\"0.16\", expect_size=\"14024704\"] \n  6 -> 9 [size =\"14024704\"]\n  7 [size=\"101911040\", alpha=\"0.11\", expect_size=\"40764416\"] \n  7 -> 8 [size =\"40764416\"]\n  7 -> 10 [size =\"40764416\"]\n  8 [size=\"120596480\", alpha=\"0.10\", expect_size=\"48238592\"] \n  9 [size=\"95787520\", alpha=\"0.18\", expect_size=\"38315008\"] \n  10 [size=\"90634240\", alpha=\"0.02\", expect_size=\"36253696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63655253\", alpha=\"0.02\", expect_size=\"19096576\"] \n  1 -> 2 [size =\"19096576\"]\n  2 [size=\"148937387\", alpha=\"0.05\", expect_size=\"44681216\"] \n  2 -> 3 [size =\"44681216\"]\n  3 [size=\"164106240\", alpha=\"0.03\", expect_size=\"49231872\"] \n  3 -> 4 [size =\"49231872\"]\n  4 [size=\"95296853\", alpha=\"0.18\", expect_size=\"28589056\"] \n  4 -> 5 [size =\"28589056\"]\n  5 [size=\"39632213\", alpha=\"0.19\", expect_size=\"11889664\"] \n  5 -> 6 [size =\"11889664\"]\n  6 [size=\"151046827\", alpha=\"0.17\", expect_size=\"45314048\"] \n  6 -> 7 [size =\"45314048\"]\n  7 [size=\"74386773\", alpha=\"0.02\", expect_size=\"22316032\"] \n  7 -> 8 [size =\"22316032\"]\n  8 [size=\"22299307\", alpha=\"0.18\", expect_size=\"6689792\"] \n  8 -> 9 [size =\"6689792\"]\n  9 [size=\"104946347\", alpha=\"0.03\", expect_size=\"31483904\"] \n  9 -> 10 [size =\"31483904\"]\n  10 [size=\"80066560\", alpha=\"0.14\", expect_size=\"24019968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81189547\", alpha=\"0.11\", expect_size=\"24356864\"] \n  1 -> 4 [size =\"24356864\"]\n  1 -> 5 [size =\"24356864\"]\n  2 [size=\"105400320\", alpha=\"0.11\", expect_size=\"31620096\"] \n  2 -> 4 [size =\"31620096\"]\n  2 -> 5 [size =\"31620096\"]\n  3 [size=\"66757973\", alpha=\"0.18\", expect_size=\"20027392\"] \n  3 -> 4 [size =\"20027392\"]\n  3 -> 5 [size =\"20027392\"]\n  4 [size=\"86743040\", alpha=\"0.13\", expect_size=\"26022912\"] \n  4 -> 6 [size =\"26022912\"]\n  4 -> 7 [size =\"26022912\"]\n  5 [size=\"64167253\", alpha=\"0.11\", expect_size=\"19250176\"] \n  5 -> 7 [size =\"19250176\"]\n  6 [size=\"146496853\", alpha=\"0.00\", expect_size=\"43949056\"] \n  6 -> 9 [size =\"43949056\"]\n  7 [size=\"103816533\", alpha=\"0.09\", expect_size=\"31144960\"] \n  7 -> 8 [size =\"31144960\"]\n  7 -> 9 [size =\"31144960\"]\n  7 -> 10 [size =\"31144960\"]\n  8 [size=\"145039360\", alpha=\"0.05\", expect_size=\"43511808\"] \n  9 [size=\"104140800\", alpha=\"0.17\", expect_size=\"31242240\"] \n  10 [size=\"86316373\", alpha=\"0.05\", expect_size=\"25894912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83617792\", alpha=\"0.16\", expect_size=\"41808896\"] \n  1 -> 2 [size =\"41808896\"]\n  1 -> 3 [size =\"41808896\"]\n  1 -> 4 [size =\"41808896\"]\n  2 [size=\"71927808\", alpha=\"0.04\", expect_size=\"35963904\"] \n  2 -> 5 [size =\"35963904\"]\n  3 [size=\"89237504\", alpha=\"0.04\", expect_size=\"44618752\"] \n  3 -> 6 [size =\"44618752\"]\n  4 [size=\"62050304\", alpha=\"0.11\", expect_size=\"31025152\"] \n  4 -> 5 [size =\"31025152\"]\n  4 -> 7 [size =\"31025152\"]\n  5 [size=\"73035776\", alpha=\"0.09\", expect_size=\"36517888\"] \n  5 -> 9 [size =\"36517888\"]\n  6 [size=\"71550976\", alpha=\"0.03\", expect_size=\"35775488\"] \n  6 -> 8 [size =\"35775488\"]\n  6 -> 10 [size =\"35775488\"]\n  7 [size=\"100896768\", alpha=\"0.08\", expect_size=\"50448384\"] \n  8 [size=\"83484672\", alpha=\"0.13\", expect_size=\"41742336\"] \n  9 [size=\"33179648\", alpha=\"0.12\", expect_size=\"16589824\"] \n  10 [size=\"42995712\", alpha=\"0.02\", expect_size=\"21497856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21096448\", alpha=\"0.13\", expect_size=\"10548224\"] \n  1 -> 6 [size =\"10548224\"]\n  2 [size=\"64862208\", alpha=\"0.15\", expect_size=\"32431104\"] \n  2 -> 9 [size =\"32431104\"]\n  3 [size=\"45754368\", alpha=\"0.17\", expect_size=\"22877184\"] \n  3 -> 7 [size =\"22877184\"]\n  3 -> 8 [size =\"22877184\"]\n  4 [size=\"44015616\", alpha=\"0.03\", expect_size=\"22007808\"] \n  5 [size=\"90988544\", alpha=\"0.00\", expect_size=\"45494272\"] \n  5 -> 6 [size =\"45494272\"]\n  5 -> 9 [size =\"45494272\"]\n  5 -> 10 [size =\"45494272\"]\n  6 [size=\"80222208\", alpha=\"0.19\", expect_size=\"40111104\"] \n  7 [size=\"67221504\", alpha=\"0.07\", expect_size=\"33610752\"] \n  8 [size=\"13629440\", alpha=\"0.04\", expect_size=\"6814720\"] \n  9 [size=\"79925248\", alpha=\"0.08\", expect_size=\"39962624\"] \n  10 [size=\"40357888\", alpha=\"0.04\", expect_size=\"20178944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45168640\", alpha=\"0.06\", expect_size=\"22584320\"] \n  1 -> 2 [size =\"22584320\"]\n  2 [size=\"81053696\", alpha=\"0.08\", expect_size=\"40526848\"] \n  2 -> 3 [size =\"40526848\"]\n  3 [size=\"93765632\", alpha=\"0.14\", expect_size=\"46882816\"] \n  3 -> 4 [size =\"46882816\"]\n  4 [size=\"37515264\", alpha=\"0.07\", expect_size=\"18757632\"] \n  4 -> 5 [size =\"18757632\"]\n  5 [size=\"82190336\", alpha=\"0.06\", expect_size=\"41095168\"] \n  5 -> 6 [size =\"41095168\"]\n  6 [size=\"27426816\", alpha=\"0.18\", expect_size=\"13713408\"] \n  6 -> 7 [size =\"13713408\"]\n  7 [size=\"66842624\", alpha=\"0.11\", expect_size=\"33421312\"] \n  7 -> 8 [size =\"33421312\"]\n  8 [size=\"70129664\", alpha=\"0.05\", expect_size=\"35064832\"] \n  8 -> 9 [size =\"35064832\"]\n  9 [size=\"78166016\", alpha=\"0.05\", expect_size=\"39083008\"] \n  9 -> 10 [size =\"39083008\"]\n  10 [size=\"99747840\", alpha=\"0.15\", expect_size=\"49873920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76008107\", alpha=\"0.19\", expect_size=\"22802432\"] \n  2 [size=\"161088853\", alpha=\"0.04\", expect_size=\"48326656\"] \n  2 -> 6 [size =\"48326656\"]\n  3 [size=\"156170240\", alpha=\"0.12\", expect_size=\"46851072\"] \n  3 -> 4 [size =\"46851072\"]\n  3 -> 5 [size =\"46851072\"]\n  4 [size=\"150534827\", alpha=\"0.06\", expect_size=\"45160448\"] \n  4 -> 8 [size =\"45160448\"]\n  5 [size=\"133789013\", alpha=\"0.12\", expect_size=\"40136704\"] \n  5 -> 7 [size =\"40136704\"]\n  6 [size=\"33665707\", alpha=\"0.09\", expect_size=\"10099712\"] \n  7 [size=\"120821760\", alpha=\"0.05\", expect_size=\"36246528\"] \n  7 -> 9 [size =\"36246528\"]\n  8 [size=\"37649067\", alpha=\"0.06\", expect_size=\"11294720\"] \n  8 -> 10 [size =\"11294720\"]\n  9 [size=\"138666667\", alpha=\"0.05\", expect_size=\"41600000\"] \n  10 [size=\"99218773\", alpha=\"0.11\", expect_size=\"29765632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141400747\", alpha=\"0.08\", expect_size=\"42420224\"] \n  1 -> 2 [size =\"42420224\"]\n  2 [size=\"137270613\", alpha=\"0.09\", expect_size=\"41181184\"] \n  2 -> 3 [size =\"41181184\"]\n  3 [size=\"41598293\", alpha=\"0.18\", expect_size=\"12479488\"] \n  3 -> 4 [size =\"12479488\"]\n  4 [size=\"140294827\", alpha=\"0.16\", expect_size=\"42088448\"] \n  4 -> 5 [size =\"42088448\"]\n  5 [size=\"58364587\", alpha=\"0.13\", expect_size=\"17509376\"] \n  5 -> 6 [size =\"17509376\"]\n  6 [size=\"174660267\", alpha=\"0.18\", expect_size=\"52398080\"] \n  6 -> 7 [size =\"52398080\"]\n  7 [size=\"129269760\", alpha=\"0.05\", expect_size=\"38780928\"] \n  7 -> 8 [size =\"38780928\"]\n  8 [size=\"123190613\", alpha=\"0.13\", expect_size=\"36957184\"] \n  8 -> 9 [size =\"36957184\"]\n  9 [size=\"140571307\", alpha=\"0.04\", expect_size=\"42171392\"] \n  9 -> 10 [size =\"42171392\"]\n  10 [size=\"112209920\", alpha=\"0.07\", expect_size=\"33662976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100797440\", alpha=\"0.03\", expect_size=\"40318976\"] \n  2 [size=\"13893120\", alpha=\"0.08\", expect_size=\"5557248\"] \n  2 -> 4 [size =\"5557248\"]\n  2 -> 6 [size =\"5557248\"]\n  3 [size=\"60846080\", alpha=\"0.08\", expect_size=\"24338432\"] \n  3 -> 5 [size =\"24338432\"]\n  4 [size=\"125637120\", alpha=\"0.15\", expect_size=\"50254848\"] \n  5 [size=\"84789760\", alpha=\"0.10\", expect_size=\"33915904\"] \n  5 -> 7 [size =\"33915904\"]\n  6 [size=\"123069440\", alpha=\"0.11\", expect_size=\"49227776\"] \n  6 -> 8 [size =\"49227776\"]\n  7 [size=\"80222720\", alpha=\"0.04\", expect_size=\"32089088\"] \n  7 -> 9 [size =\"32089088\"]\n  8 [size=\"83171840\", alpha=\"0.04\", expect_size=\"33268736\"] \n  8 -> 10 [size =\"33268736\"]\n  9 [size=\"126778880\", alpha=\"0.10\", expect_size=\"50711552\"] \n  10 [size=\"122900480\", alpha=\"0.18\", expect_size=\"49160192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13813760\", alpha=\"0.02\", expect_size=\"6906880\"] \n  1 -> 8 [size =\"6906880\"]\n  2 [size=\"43028480\", alpha=\"0.12\", expect_size=\"21514240\"] \n  2 -> 8 [size =\"21514240\"]\n  3 [size=\"87891968\", alpha=\"0.09\", expect_size=\"43945984\"] \n  3 -> 7 [size =\"43945984\"]\n  3 -> 9 [size =\"43945984\"]\n  4 [size=\"24991744\", alpha=\"0.01\", expect_size=\"12495872\"] \n  4 -> 6 [size =\"12495872\"]\n  5 [size=\"37849088\", alpha=\"0.10\", expect_size=\"18924544\"] \n  5 -> 8 [size =\"18924544\"]\n  5 -> 10 [size =\"18924544\"]\n  6 [size=\"91478016\", alpha=\"0.15\", expect_size=\"45739008\"] \n  7 [size=\"75272192\", alpha=\"0.20\", expect_size=\"37636096\"] \n  8 [size=\"58640384\", alpha=\"0.11\", expect_size=\"29320192\"] \n  9 [size=\"50483200\", alpha=\"0.03\", expect_size=\"25241600\"] \n  10 [size=\"42522624\", alpha=\"0.07\", expect_size=\"21261312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71213056\", alpha=\"0.10\", expect_size=\"35606528\"] \n  2 [size=\"37849088\", alpha=\"0.04\", expect_size=\"18924544\"] \n  2 -> 10 [size =\"18924544\"]\n  3 [size=\"98754560\", alpha=\"0.09\", expect_size=\"49377280\"] \n  3 -> 10 [size =\"49377280\"]\n  4 [size=\"103194624\", alpha=\"0.03\", expect_size=\"51597312\"] \n  4 -> 10 [size =\"51597312\"]\n  5 [size=\"36812800\", alpha=\"0.07\", expect_size=\"18406400\"] \n  5 -> 9 [size =\"18406400\"]\n  6 [size=\"47632384\", alpha=\"0.12\", expect_size=\"23816192\"] \n  7 [size=\"42512384\", alpha=\"0.18\", expect_size=\"21256192\"] \n  8 [size=\"82411520\", alpha=\"0.01\", expect_size=\"41205760\"] \n  9 [size=\"43966464\", alpha=\"0.17\", expect_size=\"21983232\"] \n  10 [size=\"103034880\", alpha=\"0.15\", expect_size=\"51517440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102674432\", alpha=\"0.07\", expect_size=\"51337216\"] \n  1 -> 2 [size =\"51337216\"]\n  2 [size=\"37175296\", alpha=\"0.00\", expect_size=\"18587648\"] \n  2 -> 3 [size =\"18587648\"]\n  3 [size=\"31152128\", alpha=\"0.03\", expect_size=\"15576064\"] \n  3 -> 4 [size =\"15576064\"]\n  4 [size=\"98160640\", alpha=\"0.18\", expect_size=\"49080320\"] \n  4 -> 5 [size =\"49080320\"]\n  5 [size=\"87545856\", alpha=\"0.13\", expect_size=\"43772928\"] \n  5 -> 6 [size =\"43772928\"]\n  6 [size=\"58269696\", alpha=\"0.18\", expect_size=\"29134848\"] \n  6 -> 7 [size =\"29134848\"]\n  7 [size=\"16359424\", alpha=\"0.05\", expect_size=\"8179712\"] \n  7 -> 8 [size =\"8179712\"]\n  8 [size=\"75382784\", alpha=\"0.10\", expect_size=\"37691392\"] \n  8 -> 9 [size =\"37691392\"]\n  9 [size=\"103161856\", alpha=\"0.05\", expect_size=\"51580928\"] \n  9 -> 10 [size =\"51580928\"]\n  10 [size=\"88866816\", alpha=\"0.06\", expect_size=\"44433408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57413632\", alpha=\"0.03\", expect_size=\"28706816\"] \n  1 -> 2 [size =\"28706816\"]\n  2 [size=\"94312448\", alpha=\"0.09\", expect_size=\"47156224\"] \n  2 -> 3 [size =\"47156224\"]\n  3 [size=\"65656832\", alpha=\"0.01\", expect_size=\"32828416\"] \n  3 -> 4 [size =\"32828416\"]\n  4 [size=\"81807360\", alpha=\"0.10\", expect_size=\"40903680\"] \n  4 -> 5 [size =\"40903680\"]\n  5 [size=\"31809536\", alpha=\"0.12\", expect_size=\"15904768\"] \n  5 -> 6 [size =\"15904768\"]\n  6 [size=\"101984256\", alpha=\"0.06\", expect_size=\"50992128\"] \n  6 -> 7 [size =\"50992128\"]\n  7 [size=\"34344960\", alpha=\"0.19\", expect_size=\"17172480\"] \n  7 -> 8 [size =\"17172480\"]\n  8 [size=\"66729984\", alpha=\"0.07\", expect_size=\"33364992\"] \n  8 -> 9 [size =\"33364992\"]\n  9 [size=\"13467648\", alpha=\"0.10\", expect_size=\"6733824\"] \n  9 -> 10 [size =\"6733824\"]\n  10 [size=\"67420160\", alpha=\"0.04\", expect_size=\"33710080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18066773\", alpha=\"0.08\", expect_size=\"5420032\"] \n  1 -> 2 [size =\"5420032\"]\n  2 [size=\"92474027\", alpha=\"0.17\", expect_size=\"27742208\"] \n  2 -> 3 [size =\"27742208\"]\n  3 [size=\"163720533\", alpha=\"0.08\", expect_size=\"49116160\"] \n  3 -> 4 [size =\"49116160\"]\n  4 [size=\"105195520\", alpha=\"0.02\", expect_size=\"31558656\"] \n  4 -> 5 [size =\"31558656\"]\n  5 [size=\"112698027\", alpha=\"0.10\", expect_size=\"33809408\"] \n  5 -> 6 [size =\"33809408\"]\n  6 [size=\"158498133\", alpha=\"0.13\", expect_size=\"47549440\"] \n  6 -> 7 [size =\"47549440\"]\n  7 [size=\"158999893\", alpha=\"0.03\", expect_size=\"47699968\"] \n  7 -> 8 [size =\"47699968\"]\n  8 [size=\"167178240\", alpha=\"0.02\", expect_size=\"50153472\"] \n  8 -> 9 [size =\"50153472\"]\n  9 [size=\"98962773\", alpha=\"0.05\", expect_size=\"29688832\"] \n  9 -> 10 [size =\"29688832\"]\n  10 [size=\"64720213\", alpha=\"0.10\", expect_size=\"19416064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15982080\", alpha=\"0.15\", expect_size=\"6392832\"] \n  1 -> 2 [size =\"6392832\"]\n  2 [size=\"81825280\", alpha=\"0.15\", expect_size=\"32730112\"] \n  2 -> 3 [size =\"32730112\"]\n  3 [size=\"48012800\", alpha=\"0.06\", expect_size=\"19205120\"] \n  3 -> 4 [size =\"19205120\"]\n  4 [size=\"117534720\", alpha=\"0.04\", expect_size=\"47013888\"] \n  4 -> 5 [size =\"47013888\"]\n  5 [size=\"74001920\", alpha=\"0.10\", expect_size=\"29600768\"] \n  5 -> 6 [size =\"29600768\"]\n  6 [size=\"114808320\", alpha=\"0.11\", expect_size=\"45923328\"] \n  6 -> 7 [size =\"45923328\"]\n  7 [size=\"83184640\", alpha=\"0.18\", expect_size=\"33273856\"] \n  7 -> 8 [size =\"33273856\"]\n  8 [size=\"115235840\", alpha=\"0.20\", expect_size=\"46094336\"] \n  8 -> 9 [size =\"46094336\"]\n  9 [size=\"81059840\", alpha=\"0.01\", expect_size=\"32423936\"] \n  9 -> 10 [size =\"32423936\"]\n  10 [size=\"82140160\", alpha=\"0.18\", expect_size=\"32856064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104570880\", alpha=\"0.03\", expect_size=\"52285440\"] \n  1 -> 5 [size =\"52285440\"]\n  2 [size=\"103815168\", alpha=\"0.11\", expect_size=\"51907584\"] \n  2 -> 3 [size =\"51907584\"]\n  2 -> 4 [size =\"51907584\"]\n  3 [size=\"19924992\", alpha=\"0.04\", expect_size=\"9962496\"] \n  3 -> 7 [size =\"9962496\"]\n  4 [size=\"28753920\", alpha=\"0.03\", expect_size=\"14376960\"] \n  4 -> 6 [size =\"14376960\"]\n  5 [size=\"60944384\", alpha=\"0.14\", expect_size=\"30472192\"] \n  6 [size=\"16246784\", alpha=\"0.08\", expect_size=\"8123392\"] \n  7 [size=\"54931456\", alpha=\"0.16\", expect_size=\"27465728\"] \n  7 -> 8 [size =\"27465728\"]\n  7 -> 9 [size =\"27465728\"]\n  8 [size=\"100077568\", alpha=\"0.05\", expect_size=\"50038784\"] \n  9 [size=\"68519936\", alpha=\"0.15\", expect_size=\"34259968\"] \n  9 -> 10 [size =\"34259968\"]\n  10 [size=\"46276608\", alpha=\"0.02\", expect_size=\"23138304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78940160\", alpha=\"0.17\", expect_size=\"31576064\"] \n  1 -> 2 [size =\"31576064\"]\n  2 [size=\"46712320\", alpha=\"0.02\", expect_size=\"18684928\"] \n  2 -> 3 [size =\"18684928\"]\n  3 [size=\"74078720\", alpha=\"0.02\", expect_size=\"29631488\"] \n  3 -> 4 [size =\"29631488\"]\n  4 [size=\"75197440\", alpha=\"0.19\", expect_size=\"30078976\"] \n  4 -> 5 [size =\"30078976\"]\n  5 [size=\"50887680\", alpha=\"0.18\", expect_size=\"20355072\"] \n  5 -> 6 [size =\"20355072\"]\n  6 [size=\"104056320\", alpha=\"0.07\", expect_size=\"41622528\"] \n  6 -> 7 [size =\"41622528\"]\n  7 [size=\"125685760\", alpha=\"0.07\", expect_size=\"50274304\"] \n  7 -> 8 [size =\"50274304\"]\n  8 [size=\"31703040\", alpha=\"0.13\", expect_size=\"12681216\"] \n  8 -> 9 [size =\"12681216\"]\n  9 [size=\"30330880\", alpha=\"0.01\", expect_size=\"12132352\"] \n  9 -> 10 [size =\"12132352\"]\n  10 [size=\"83453440\", alpha=\"0.13\", expect_size=\"33381376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29289813\", alpha=\"0.03\", expect_size=\"8786944\"] \n  1 -> 2 [size =\"8786944\"]\n  2 [size=\"78175573\", alpha=\"0.00\", expect_size=\"23452672\"] \n  2 -> 3 [size =\"23452672\"]\n  3 [size=\"76748800\", alpha=\"0.19\", expect_size=\"23024640\"] \n  3 -> 4 [size =\"23024640\"]\n  4 [size=\"150528000\", alpha=\"0.01\", expect_size=\"45158400\"] \n  4 -> 5 [size =\"45158400\"]\n  5 [size=\"52186453\", alpha=\"0.07\", expect_size=\"15655936\"] \n  5 -> 6 [size =\"15655936\"]\n  6 [size=\"52555093\", alpha=\"0.04\", expect_size=\"15766528\"] \n  6 -> 7 [size =\"15766528\"]\n  7 [size=\"38109867\", alpha=\"0.02\", expect_size=\"11432960\"] \n  7 -> 8 [size =\"11432960\"]\n  8 [size=\"25217707\", alpha=\"0.19\", expect_size=\"7565312\"] \n  8 -> 9 [size =\"7565312\"]\n  9 [size=\"45066240\", alpha=\"0.17\", expect_size=\"13519872\"] \n  9 -> 10 [size =\"13519872\"]\n  10 [size=\"150374400\", alpha=\"0.01\", expect_size=\"45112320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103829504\", alpha=\"0.18\", expect_size=\"51914752\"] \n  1 -> 4 [size =\"51914752\"]\n  1 -> 5 [size =\"51914752\"]\n  2 [size=\"84019200\", alpha=\"0.16\", expect_size=\"42009600\"] \n  2 -> 3 [size =\"42009600\"]\n  3 [size=\"55865344\", alpha=\"0.07\", expect_size=\"27932672\"] \n  4 [size=\"24338432\", alpha=\"0.10\", expect_size=\"12169216\"] \n  4 -> 6 [size =\"12169216\"]\n  4 -> 7 [size =\"12169216\"]\n  5 [size=\"21706752\", alpha=\"0.02\", expect_size=\"10853376\"] \n  6 [size=\"65644544\", alpha=\"0.13\", expect_size=\"32822272\"] \n  6 -> 9 [size =\"32822272\"]\n  7 [size=\"64368640\", alpha=\"0.19\", expect_size=\"32184320\"] \n  7 -> 8 [size =\"32184320\"]\n  8 [size=\"82911232\", alpha=\"0.08\", expect_size=\"41455616\"] \n  9 [size=\"51384320\", alpha=\"0.12\", expect_size=\"25692160\"] \n  9 -> 10 [size =\"25692160\"]\n  10 [size=\"10532864\", alpha=\"0.17\", expect_size=\"5266432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121909760\", alpha=\"0.08\", expect_size=\"48763904\"] \n  1 -> 3 [size =\"48763904\"]\n  1 -> 4 [size =\"48763904\"]\n  2 [size=\"60920320\", alpha=\"0.12\", expect_size=\"24368128\"] \n  2 -> 3 [size =\"24368128\"]\n  2 -> 4 [size =\"24368128\"]\n  3 [size=\"23953920\", alpha=\"0.09\", expect_size=\"9581568\"] \n  3 -> 5 [size =\"9581568\"]\n  3 -> 6 [size =\"9581568\"]\n  3 -> 7 [size =\"9581568\"]\n  4 [size=\"129541120\", alpha=\"0.19\", expect_size=\"51816448\"] \n  4 -> 5 [size =\"51816448\"]\n  4 -> 6 [size =\"51816448\"]\n  5 [size=\"41090560\", alpha=\"0.17\", expect_size=\"16436224\"] \n  5 -> 8 [size =\"16436224\"]\n  5 -> 9 [size =\"16436224\"]\n  5 -> 10 [size =\"16436224\"]\n  6 [size=\"91699200\", alpha=\"0.13\", expect_size=\"36679680\"] \n  6 -> 9 [size =\"36679680\"]\n  7 [size=\"86510080\", alpha=\"0.16\", expect_size=\"34604032\"] \n  7 -> 9 [size =\"34604032\"]\n  7 -> 10 [size =\"34604032\"]\n  8 [size=\"33950720\", alpha=\"0.12\", expect_size=\"13580288\"] \n  9 [size=\"108669440\", alpha=\"0.06\", expect_size=\"43467776\"] \n  10 [size=\"124382720\", alpha=\"0.06\", expect_size=\"49753088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63989760\", alpha=\"0.12\", expect_size=\"19196928\"] \n  2 [size=\"96378880\", alpha=\"0.05\", expect_size=\"28913664\"] \n  2 -> 4 [size =\"28913664\"]\n  3 [size=\"36082347\", alpha=\"0.05\", expect_size=\"10824704\"] \n  3 -> 4 [size =\"10824704\"]\n  3 -> 5 [size =\"10824704\"]\n  4 [size=\"33105920\", alpha=\"0.07\", expect_size=\"9931776\"] \n  4 -> 6 [size =\"9931776\"]\n  5 [size=\"113558187\", alpha=\"0.05\", expect_size=\"34067456\"] \n  5 -> 7 [size =\"34067456\"]\n  5 -> 8 [size =\"34067456\"]\n  6 [size=\"17844907\", alpha=\"0.05\", expect_size=\"5353472\"] \n  6 -> 9 [size =\"5353472\"]\n  6 -> 10 [size =\"5353472\"]\n  7 [size=\"102836907\", alpha=\"0.16\", expect_size=\"30851072\"] \n  7 -> 9 [size =\"30851072\"]\n  8 [size=\"120186880\", alpha=\"0.10\", expect_size=\"36056064\"] \n  9 [size=\"98689707\", alpha=\"0.11\", expect_size=\"29606912\"] \n  10 [size=\"75741867\", alpha=\"0.03\", expect_size=\"22722560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112404480\", alpha=\"0.01\", expect_size=\"44961792\"] \n  1 -> 2 [size =\"44961792\"]\n  1 -> 3 [size =\"44961792\"]\n  2 [size=\"122734080\", alpha=\"0.14\", expect_size=\"49093632\"] \n  2 -> 4 [size =\"49093632\"]\n  2 -> 5 [size =\"49093632\"]\n  3 [size=\"18324480\", alpha=\"0.12\", expect_size=\"7329792\"] \n  3 -> 4 [size =\"7329792\"]\n  3 -> 5 [size =\"7329792\"]\n  4 [size=\"46609920\", alpha=\"0.14\", expect_size=\"18643968\"] \n  4 -> 6 [size =\"18643968\"]\n  5 [size=\"88473600\", alpha=\"0.16\", expect_size=\"35389440\"] \n  6 [size=\"56890880\", alpha=\"0.14\", expect_size=\"22756352\"] \n  6 -> 7 [size =\"22756352\"]\n  6 -> 8 [size =\"22756352\"]\n  6 -> 9 [size =\"22756352\"]\n  7 [size=\"102103040\", alpha=\"0.11\", expect_size=\"40841216\"] \n  7 -> 10 [size =\"40841216\"]\n  8 [size=\"61235200\", alpha=\"0.15\", expect_size=\"24494080\"] \n  9 [size=\"49674240\", alpha=\"0.03\", expect_size=\"19869696\"] \n  10 [size=\"72878080\", alpha=\"0.16\", expect_size=\"29151232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142940160\", alpha=\"0.01\", expect_size=\"42882048\"] \n  1 -> 9 [size =\"42882048\"]\n  2 [size=\"118647467\", alpha=\"0.14\", expect_size=\"35594240\"] \n  3 [size=\"41137493\", alpha=\"0.03\", expect_size=\"12341248\"] \n  3 -> 7 [size =\"12341248\"]\n  3 -> 8 [size =\"12341248\"]\n  4 [size=\"102004053\", alpha=\"0.16\", expect_size=\"30601216\"] \n  4 -> 7 [size =\"30601216\"]\n  4 -> 8 [size =\"30601216\"]\n  4 -> 10 [size =\"30601216\"]\n  5 [size=\"109697707\", alpha=\"0.07\", expect_size=\"32909312\"] \n  5 -> 7 [size =\"32909312\"]\n  5 -> 8 [size =\"32909312\"]\n  5 -> 9 [size =\"32909312\"]\n  5 -> 10 [size =\"32909312\"]\n  6 [size=\"48629760\", alpha=\"0.13\", expect_size=\"14588928\"] \n  6 -> 7 [size =\"14588928\"]\n  6 -> 8 [size =\"14588928\"]\n  6 -> 9 [size =\"14588928\"]\n  6 -> 10 [size =\"14588928\"]\n  7 [size=\"83541333\", alpha=\"0.07\", expect_size=\"25062400\"] \n  8 [size=\"161122987\", alpha=\"0.01\", expect_size=\"48336896\"] \n  9 [size=\"88780800\", alpha=\"0.08\", expect_size=\"26634240\"] \n  10 [size=\"74956800\", alpha=\"0.13\", expect_size=\"22487040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26875904\", alpha=\"0.13\", expect_size=\"13437952\"] \n  1 -> 2 [size =\"13437952\"]\n  2 [size=\"49049600\", alpha=\"0.02\", expect_size=\"24524800\"] \n  2 -> 3 [size =\"24524800\"]\n  3 [size=\"29294592\", alpha=\"0.08\", expect_size=\"14647296\"] \n  3 -> 4 [size =\"14647296\"]\n  4 [size=\"55068672\", alpha=\"0.02\", expect_size=\"27534336\"] \n  4 -> 5 [size =\"27534336\"]\n  5 [size=\"34922496\", alpha=\"0.13\", expect_size=\"17461248\"] \n  5 -> 6 [size =\"17461248\"]\n  6 [size=\"60368896\", alpha=\"0.04\", expect_size=\"30184448\"] \n  6 -> 7 [size =\"30184448\"]\n  7 [size=\"17248256\", alpha=\"0.15\", expect_size=\"8624128\"] \n  7 -> 8 [size =\"8624128\"]\n  8 [size=\"17686528\", alpha=\"0.13\", expect_size=\"8843264\"] \n  8 -> 9 [size =\"8843264\"]\n  9 [size=\"96061440\", alpha=\"0.15\", expect_size=\"48030720\"] \n  9 -> 10 [size =\"48030720\"]\n  10 [size=\"75620352\", alpha=\"0.10\", expect_size=\"37810176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73448960\", alpha=\"0.15\", expect_size=\"29379584\"] \n  1 -> 7 [size =\"29379584\"]\n  1 -> 8 [size =\"29379584\"]\n  2 [size=\"16698880\", alpha=\"0.07\", expect_size=\"6679552\"] \n  2 -> 7 [size =\"6679552\"]\n  2 -> 9 [size =\"6679552\"]\n  3 [size=\"116572160\", alpha=\"0.14\", expect_size=\"46628864\"] \n  3 -> 9 [size =\"46628864\"]\n  3 -> 10 [size =\"46628864\"]\n  4 [size=\"35596800\", alpha=\"0.00\", expect_size=\"14238720\"] \n  4 -> 5 [size =\"14238720\"]\n  4 -> 6 [size =\"14238720\"]\n  4 -> 10 [size =\"14238720\"]\n  5 [size=\"20126720\", alpha=\"0.11\", expect_size=\"8050688\"] \n  6 [size=\"44154880\", alpha=\"0.06\", expect_size=\"17661952\"] \n  7 [size=\"38950400\", alpha=\"0.13\", expect_size=\"15580160\"] \n  8 [size=\"120355840\", alpha=\"0.10\", expect_size=\"48142336\"] \n  9 [size=\"49195520\", alpha=\"0.15\", expect_size=\"19678208\"] \n  10 [size=\"29245440\", alpha=\"0.20\", expect_size=\"11698176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50705067\", alpha=\"0.15\", expect_size=\"15211520\"] \n  1 -> 2 [size =\"15211520\"]\n  2 [size=\"35611307\", alpha=\"0.19\", expect_size=\"10683392\"] \n  2 -> 3 [size =\"10683392\"]\n  3 [size=\"84340053\", alpha=\"0.04\", expect_size=\"25302016\"] \n  3 -> 4 [size =\"25302016\"]\n  4 [size=\"36181333\", alpha=\"0.16\", expect_size=\"10854400\"] \n  4 -> 5 [size =\"10854400\"]\n  5 [size=\"106984107\", alpha=\"0.02\", expect_size=\"32095232\"] \n  5 -> 6 [size =\"32095232\"]\n  6 [size=\"166004053\", alpha=\"0.09\", expect_size=\"49801216\"] \n  6 -> 7 [size =\"49801216\"]\n  7 [size=\"165290667\", alpha=\"0.04\", expect_size=\"49587200\"] \n  7 -> 8 [size =\"49587200\"]\n  8 [size=\"155453440\", alpha=\"0.17\", expect_size=\"46636032\"] \n  8 -> 9 [size =\"46636032\"]\n  9 [size=\"94126080\", alpha=\"0.16\", expect_size=\"28237824\"] \n  9 -> 10 [size =\"28237824\"]\n  10 [size=\"129751040\", alpha=\"0.06\", expect_size=\"38925312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96237568\", alpha=\"0.11\", expect_size=\"48118784\"] \n  1 -> 4 [size =\"48118784\"]\n  1 -> 5 [size =\"48118784\"]\n  2 [size=\"19271680\", alpha=\"0.05\", expect_size=\"9635840\"] \n  2 -> 4 [size =\"9635840\"]\n  3 [size=\"88932352\", alpha=\"0.04\", expect_size=\"44466176\"] \n  3 -> 4 [size =\"44466176\"]\n  4 [size=\"59351040\", alpha=\"0.16\", expect_size=\"29675520\"] \n  4 -> 6 [size =\"29675520\"]\n  4 -> 7 [size =\"29675520\"]\n  5 [size=\"39823360\", alpha=\"0.09\", expect_size=\"19911680\"] \n  5 -> 6 [size =\"19911680\"]\n  5 -> 7 [size =\"19911680\"]\n  6 [size=\"104636416\", alpha=\"0.09\", expect_size=\"52318208\"] \n  6 -> 8 [size =\"52318208\"]\n  6 -> 9 [size =\"52318208\"]\n  7 [size=\"93638656\", alpha=\"0.18\", expect_size=\"46819328\"] \n  7 -> 8 [size =\"46819328\"]\n  7 -> 9 [size =\"46819328\"]\n  8 [size=\"69998592\", alpha=\"0.02\", expect_size=\"34999296\"] \n  8 -> 10 [size =\"34999296\"]\n  9 [size=\"45940736\", alpha=\"0.15\", expect_size=\"22970368\"] \n  9 -> 10 [size =\"22970368\"]\n  10 [size=\"48166912\", alpha=\"0.00\", expect_size=\"24083456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147319467\", alpha=\"0.17\", expect_size=\"44195840\"] \n  2 [size=\"73011200\", alpha=\"0.13\", expect_size=\"21903360\"] \n  2 -> 7 [size =\"21903360\"]\n  2 -> 9 [size =\"21903360\"]\n  3 [size=\"128716800\", alpha=\"0.15\", expect_size=\"38615040\"] \n  3 -> 7 [size =\"38615040\"]\n  3 -> 10 [size =\"38615040\"]\n  4 [size=\"42427733\", alpha=\"0.06\", expect_size=\"12728320\"] \n  4 -> 8 [size =\"12728320\"]\n  5 [size=\"18257920\", alpha=\"0.13\", expect_size=\"5477376\"] \n  5 -> 8 [size =\"5477376\"]\n  5 -> 9 [size =\"5477376\"]\n  6 [size=\"150176427\", alpha=\"0.15\", expect_size=\"45052928\"] \n  6 -> 8 [size =\"45052928\"]\n  6 -> 9 [size =\"45052928\"]\n  7 [size=\"40587947\", alpha=\"0.07\", expect_size=\"12176384\"] \n  8 [size=\"116261547\", alpha=\"0.17\", expect_size=\"34878464\"] \n  9 [size=\"26101760\", alpha=\"0.16\", expect_size=\"7830528\"] \n  10 [size=\"97355093\", alpha=\"0.03\", expect_size=\"29206528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85343573\", alpha=\"0.15\", expect_size=\"25603072\"] \n  1 -> 8 [size =\"25603072\"]\n  1 -> 9 [size =\"25603072\"]\n  2 [size=\"63993173\", alpha=\"0.14\", expect_size=\"19197952\"] \n  2 -> 9 [size =\"19197952\"]\n  3 [size=\"67761493\", alpha=\"0.05\", expect_size=\"20328448\"] \n  3 -> 10 [size =\"20328448\"]\n  4 [size=\"93678933\", alpha=\"0.09\", expect_size=\"28103680\"] \n  4 -> 8 [size =\"28103680\"]\n  4 -> 9 [size =\"28103680\"]\n  5 [size=\"94706347\", alpha=\"0.00\", expect_size=\"28411904\"] \n  6 [size=\"155262293\", alpha=\"0.02\", expect_size=\"46578688\"] \n  6 -> 9 [size =\"46578688\"]\n  7 [size=\"64136533\", alpha=\"0.06\", expect_size=\"19240960\"] \n  7 -> 9 [size =\"19240960\"]\n  8 [size=\"155385173\", alpha=\"0.16\", expect_size=\"46615552\"] \n  9 [size=\"93395627\", alpha=\"0.20\", expect_size=\"28018688\"] \n  10 [size=\"40444587\", alpha=\"0.12\", expect_size=\"12133376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23546880\", alpha=\"0.02\", expect_size=\"9418752\"] \n  1 -> 7 [size =\"9418752\"]\n  1 -> 8 [size =\"9418752\"]\n  1 -> 9 [size =\"9418752\"]\n  1 -> 10 [size =\"9418752\"]\n  2 [size=\"122662400\", alpha=\"0.19\", expect_size=\"49064960\"] \n  2 -> 7 [size =\"49064960\"]\n  2 -> 8 [size =\"49064960\"]\n  2 -> 9 [size =\"49064960\"]\n  2 -> 10 [size =\"49064960\"]\n  3 [size=\"58841600\", alpha=\"0.06\", expect_size=\"23536640\"] \n  4 [size=\"107673600\", alpha=\"0.19\", expect_size=\"43069440\"] \n  4 -> 7 [size =\"43069440\"]\n  4 -> 8 [size =\"43069440\"]\n  4 -> 9 [size =\"43069440\"]\n  5 [size=\"86993920\", alpha=\"0.08\", expect_size=\"34797568\"] \n  5 -> 7 [size =\"34797568\"]\n  6 [size=\"29972480\", alpha=\"0.18\", expect_size=\"11988992\"] \n  6 -> 9 [size =\"11988992\"]\n  6 -> 10 [size =\"11988992\"]\n  7 [size=\"39498240\", alpha=\"0.11\", expect_size=\"15799296\"] \n  8 [size=\"108239360\", alpha=\"0.08\", expect_size=\"43295744\"] \n  9 [size=\"34183680\", alpha=\"0.01\", expect_size=\"13673472\"] \n  10 [size=\"78085120\", alpha=\"0.09\", expect_size=\"31234048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102485333\", alpha=\"0.02\", expect_size=\"30745600\"] \n  1 -> 8 [size =\"30745600\"]\n  1 -> 10 [size =\"30745600\"]\n  2 [size=\"55470080\", alpha=\"0.16\", expect_size=\"16641024\"] \n  2 -> 6 [size =\"16641024\"]\n  3 [size=\"85957973\", alpha=\"0.06\", expect_size=\"25787392\"] \n  3 -> 6 [size =\"25787392\"]\n  3 -> 7 [size =\"25787392\"]\n  3 -> 9 [size =\"25787392\"]\n  4 [size=\"145442133\", alpha=\"0.11\", expect_size=\"43632640\"] \n  5 [size=\"171642880\", alpha=\"0.08\", expect_size=\"51492864\"] \n  5 -> 9 [size =\"51492864\"]\n  6 [size=\"160802133\", alpha=\"0.18\", expect_size=\"48240640\"] \n  7 [size=\"88081067\", alpha=\"0.14\", expect_size=\"26424320\"] \n  8 [size=\"116172800\", alpha=\"0.16\", expect_size=\"34851840\"] \n  9 [size=\"82240853\", alpha=\"0.04\", expect_size=\"24672256\"] \n  10 [size=\"140878507\", alpha=\"0.20\", expect_size=\"42263552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70928384\", alpha=\"0.09\", expect_size=\"35464192\"] \n  1 -> 5 [size =\"35464192\"]\n  1 -> 7 [size =\"35464192\"]\n  1 -> 8 [size =\"35464192\"]\n  1 -> 9 [size =\"35464192\"]\n  2 [size=\"74381312\", alpha=\"0.18\", expect_size=\"37190656\"] \n  2 -> 8 [size =\"37190656\"]\n  2 -> 9 [size =\"37190656\"]\n  3 [size=\"14190592\", alpha=\"0.16\", expect_size=\"7095296\"] \n  3 -> 4 [size =\"7095296\"]\n  3 -> 6 [size =\"7095296\"]\n  3 -> 7 [size =\"7095296\"]\n  3 -> 10 [size =\"7095296\"]\n  4 [size=\"69857280\", alpha=\"0.03\", expect_size=\"34928640\"] \n  5 [size=\"100499456\", alpha=\"0.05\", expect_size=\"50249728\"] \n  6 [size=\"98123776\", alpha=\"0.05\", expect_size=\"49061888\"] \n  7 [size=\"18098176\", alpha=\"0.02\", expect_size=\"9049088\"] \n  8 [size=\"43952128\", alpha=\"0.05\", expect_size=\"21976064\"] \n  9 [size=\"87263232\", alpha=\"0.17\", expect_size=\"43631616\"] \n  10 [size=\"47423488\", alpha=\"0.17\", expect_size=\"23711744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42639360\", alpha=\"0.07\", expect_size=\"17055744\"] \n  1 -> 6 [size =\"17055744\"]\n  1 -> 7 [size =\"17055744\"]\n  1 -> 10 [size =\"17055744\"]\n  2 [size=\"27755520\", alpha=\"0.10\", expect_size=\"11102208\"] \n  2 -> 6 [size =\"11102208\"]\n  2 -> 8 [size =\"11102208\"]\n  2 -> 9 [size =\"11102208\"]\n  2 -> 10 [size =\"11102208\"]\n  3 [size=\"31598080\", alpha=\"0.07\", expect_size=\"12639232\"] \n  3 -> 7 [size =\"12639232\"]\n  4 [size=\"67453440\", alpha=\"0.05\", expect_size=\"26981376\"] \n  4 -> 7 [size =\"26981376\"]\n  5 [size=\"124741120\", alpha=\"0.12\", expect_size=\"49896448\"] \n  5 -> 6 [size =\"49896448\"]\n  6 [size=\"127342080\", alpha=\"0.01\", expect_size=\"50936832\"] \n  7 [size=\"100264960\", alpha=\"0.10\", expect_size=\"40105984\"] \n  8 [size=\"26442240\", alpha=\"0.14\", expect_size=\"10576896\"] \n  9 [size=\"42905600\", alpha=\"0.01\", expect_size=\"17162240\"] \n  10 [size=\"18129920\", alpha=\"0.06\", expect_size=\"7251968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151063893\", alpha=\"0.07\", expect_size=\"45319168\"] \n  1 -> 2 [size =\"45319168\"]\n  2 [size=\"71987200\", alpha=\"0.18\", expect_size=\"21596160\"] \n  2 -> 3 [size =\"21596160\"]\n  3 [size=\"92221440\", alpha=\"0.08\", expect_size=\"27666432\"] \n  3 -> 4 [size =\"27666432\"]\n  4 [size=\"158047573\", alpha=\"0.01\", expect_size=\"47414272\"] \n  4 -> 5 [size =\"47414272\"]\n  5 [size=\"83411627\", alpha=\"0.16\", expect_size=\"25023488\"] \n  5 -> 6 [size =\"25023488\"]\n  6 [size=\"122432853\", alpha=\"0.14\", expect_size=\"36729856\"] \n  6 -> 7 [size =\"36729856\"]\n  7 [size=\"56814933\", alpha=\"0.17\", expect_size=\"17044480\"] \n  7 -> 8 [size =\"17044480\"]\n  8 [size=\"50059947\", alpha=\"0.04\", expect_size=\"15017984\"] \n  8 -> 9 [size =\"15017984\"]\n  9 [size=\"143540907\", alpha=\"0.06\", expect_size=\"43062272\"] \n  9 -> 10 [size =\"43062272\"]\n  10 [size=\"109588480\", alpha=\"0.11\", expect_size=\"32876544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54343680\", alpha=\"0.00\", expect_size=\"16303104\"] \n  1 -> 5 [size =\"16303104\"]\n  1 -> 6 [size =\"16303104\"]\n  2 [size=\"18421760\", alpha=\"0.08\", expect_size=\"5526528\"] \n  2 -> 4 [size =\"5526528\"]\n  2 -> 5 [size =\"5526528\"]\n  2 -> 7 [size =\"5526528\"]\n  3 [size=\"168652800\", alpha=\"0.12\", expect_size=\"50595840\"] \n  3 -> 4 [size =\"50595840\"]\n  3 -> 6 [size =\"50595840\"]\n  4 [size=\"45056000\", alpha=\"0.08\", expect_size=\"13516800\"] \n  5 [size=\"145653760\", alpha=\"0.00\", expect_size=\"43696128\"] \n  5 -> 9 [size =\"43696128\"]\n  5 -> 10 [size =\"43696128\"]\n  6 [size=\"139656533\", alpha=\"0.00\", expect_size=\"41896960\"] \n  6 -> 8 [size =\"41896960\"]\n  7 [size=\"123525120\", alpha=\"0.12\", expect_size=\"37057536\"] \n  7 -> 8 [size =\"37057536\"]\n  7 -> 9 [size =\"37057536\"]\n  8 [size=\"59480747\", alpha=\"0.02\", expect_size=\"17844224\"] \n  9 [size=\"33669120\", alpha=\"0.06\", expect_size=\"10100736\"] \n  10 [size=\"111520427\", alpha=\"0.12\", expect_size=\"33456128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26606933\", alpha=\"0.19\", expect_size=\"7982080\"] \n  1 -> 9 [size =\"7982080\"]\n  1 -> 10 [size =\"7982080\"]\n  2 [size=\"86575787\", alpha=\"0.05\", expect_size=\"25972736\"] \n  3 [size=\"171315200\", alpha=\"0.18\", expect_size=\"51394560\"] \n  3 -> 10 [size =\"51394560\"]\n  4 [size=\"161918293\", alpha=\"0.11\", expect_size=\"48575488\"] \n  4 -> 9 [size =\"48575488\"]\n  5 [size=\"155849387\", alpha=\"0.14\", expect_size=\"46754816\"] \n  5 -> 10 [size =\"46754816\"]\n  6 [size=\"101604693\", alpha=\"0.01\", expect_size=\"30481408\"] \n  6 -> 10 [size =\"30481408\"]\n  7 [size=\"41157973\", alpha=\"0.14\", expect_size=\"12347392\"] \n  7 -> 9 [size =\"12347392\"]\n  7 -> 10 [size =\"12347392\"]\n  8 [size=\"145414827\", alpha=\"0.01\", expect_size=\"43624448\"] \n  9 [size=\"171670187\", alpha=\"0.02\", expect_size=\"51501056\"] \n  10 [size=\"78742187\", alpha=\"0.20\", expect_size=\"23622656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119802880\", alpha=\"0.16\", expect_size=\"47921152\"] \n  1 -> 2 [size =\"47921152\"]\n  2 [size=\"31434240\", alpha=\"0.03\", expect_size=\"12573696\"] \n  2 -> 3 [size =\"12573696\"]\n  3 [size=\"20513280\", alpha=\"0.11\", expect_size=\"8205312\"] \n  3 -> 4 [size =\"8205312\"]\n  4 [size=\"114854400\", alpha=\"0.18\", expect_size=\"45941760\"] \n  4 -> 5 [size =\"45941760\"]\n  5 [size=\"87854080\", alpha=\"0.04\", expect_size=\"35141632\"] \n  5 -> 6 [size =\"35141632\"]\n  6 [size=\"17873920\", alpha=\"0.18\", expect_size=\"7149568\"] \n  6 -> 7 [size =\"7149568\"]\n  7 [size=\"107740160\", alpha=\"0.01\", expect_size=\"43096064\"] \n  7 -> 8 [size =\"43096064\"]\n  8 [size=\"61347840\", alpha=\"0.15\", expect_size=\"24539136\"] \n  8 -> 9 [size =\"24539136\"]\n  9 [size=\"63029760\", alpha=\"0.12\", expect_size=\"25211904\"] \n  9 -> 10 [size =\"25211904\"]\n  10 [size=\"116042240\", alpha=\"0.04\", expect_size=\"46416896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34990080\", alpha=\"0.03\", expect_size=\"13996032\"] \n  1 -> 3 [size =\"13996032\"]\n  1 -> 4 [size =\"13996032\"]\n  2 [size=\"124408320\", alpha=\"0.09\", expect_size=\"49763328\"] \n  2 -> 3 [size =\"49763328\"]\n  2 -> 4 [size =\"49763328\"]\n  2 -> 5 [size =\"49763328\"]\n  3 [size=\"62970880\", alpha=\"0.02\", expect_size=\"25188352\"] \n  3 -> 6 [size =\"25188352\"]\n  4 [size=\"43548160\", alpha=\"0.11\", expect_size=\"17419264\"] \n  4 -> 6 [size =\"17419264\"]\n  5 [size=\"63237120\", alpha=\"0.09\", expect_size=\"25294848\"] \n  5 -> 6 [size =\"25294848\"]\n  5 -> 7 [size =\"25294848\"]\n  6 [size=\"34920960\", alpha=\"0.10\", expect_size=\"13968384\"] \n  6 -> 8 [size =\"13968384\"]\n  6 -> 9 [size =\"13968384\"]\n  6 -> 10 [size =\"13968384\"]\n  7 [size=\"17543680\", alpha=\"0.13\", expect_size=\"7017472\"] \n  7 -> 8 [size =\"7017472\"]\n  7 -> 9 [size =\"7017472\"]\n  7 -> 10 [size =\"7017472\"]\n  8 [size=\"71718400\", alpha=\"0.05\", expect_size=\"28687360\"] \n  9 [size=\"129228800\", alpha=\"0.16\", expect_size=\"51691520\"] \n  10 [size=\"49303040\", alpha=\"0.01\", expect_size=\"19721216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166065493\", alpha=\"0.16\", expect_size=\"49819648\"] \n  1 -> 2 [size =\"49819648\"]\n  2 [size=\"159965867\", alpha=\"0.09\", expect_size=\"47989760\"] \n  2 -> 3 [size =\"47989760\"]\n  3 [size=\"168656213\", alpha=\"0.00\", expect_size=\"50596864\"] \n  3 -> 4 [size =\"50596864\"]\n  4 [size=\"42728107\", alpha=\"0.18\", expect_size=\"12818432\"] \n  4 -> 5 [size =\"12818432\"]\n  5 [size=\"38662827\", alpha=\"0.06\", expect_size=\"11598848\"] \n  5 -> 6 [size =\"11598848\"]\n  6 [size=\"83817813\", alpha=\"0.17\", expect_size=\"25145344\"] \n  6 -> 7 [size =\"25145344\"]\n  7 [size=\"56343893\", alpha=\"0.02\", expect_size=\"16903168\"] \n  7 -> 8 [size =\"16903168\"]\n  8 [size=\"39895040\", alpha=\"0.16\", expect_size=\"11968512\"] \n  8 -> 9 [size =\"11968512\"]\n  9 [size=\"57350827\", alpha=\"0.06\", expect_size=\"17205248\"] \n  9 -> 10 [size =\"17205248\"]\n  10 [size=\"18015573\", alpha=\"0.08\", expect_size=\"5404672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55640064\", alpha=\"0.05\", expect_size=\"27820032\"] \n  1 -> 2 [size =\"27820032\"]\n  1 -> 3 [size =\"27820032\"]\n  2 [size=\"94855168\", alpha=\"0.08\", expect_size=\"47427584\"] \n  2 -> 4 [size =\"47427584\"]\n  3 [size=\"19124224\", alpha=\"0.16\", expect_size=\"9562112\"] \n  3 -> 5 [size =\"9562112\"]\n  4 [size=\"45697024\", alpha=\"0.19\", expect_size=\"22848512\"] \n  5 [size=\"48732160\", alpha=\"0.06\", expect_size=\"24366080\"] \n  5 -> 6 [size =\"24366080\"]\n  5 -> 7 [size =\"24366080\"]\n  6 [size=\"12820480\", alpha=\"0.04\", expect_size=\"6410240\"] \n  6 -> 9 [size =\"6410240\"]\n  7 [size=\"85747712\", alpha=\"0.08\", expect_size=\"42873856\"] \n  7 -> 8 [size =\"42873856\"]\n  8 [size=\"82137088\", alpha=\"0.05\", expect_size=\"41068544\"] \n  8 -> 10 [size =\"41068544\"]\n  9 [size=\"46428160\", alpha=\"0.12\", expect_size=\"23214080\"] \n  10 [size=\"73775104\", alpha=\"0.19\", expect_size=\"36887552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36167680\", alpha=\"0.09\", expect_size=\"14467072\"] \n  1 -> 7 [size =\"14467072\"]\n  1 -> 8 [size =\"14467072\"]\n  2 [size=\"57026560\", alpha=\"0.01\", expect_size=\"22810624\"] \n  2 -> 6 [size =\"22810624\"]\n  2 -> 7 [size =\"22810624\"]\n  2 -> 9 [size =\"22810624\"]\n  2 -> 10 [size =\"22810624\"]\n  3 [size=\"72204800\", alpha=\"0.17\", expect_size=\"28881920\"] \n  3 -> 7 [size =\"28881920\"]\n  3 -> 7 [size =\"28881920\"]\n  3 -> 9 [size =\"28881920\"]\n  3 -> 10 [size =\"28881920\"]\n  4 [size=\"87206400\", alpha=\"0.11\", expect_size=\"34882560\"] \n  4 -> 9 [size =\"34882560\"]\n  5 [size=\"85386240\", alpha=\"0.05\", expect_size=\"34154496\"] \n  6 [size=\"33781760\", alpha=\"0.05\", expect_size=\"13512704\"] \n  7 [size=\"57093120\", alpha=\"0.20\", expect_size=\"22837248\"] \n  8 [size=\"78456320\", alpha=\"0.08\", expect_size=\"31382528\"] \n  9 [size=\"25438720\", alpha=\"0.15\", expect_size=\"10175488\"] \n  10 [size=\"35064320\", alpha=\"0.08\", expect_size=\"14025728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129763840\", alpha=\"0.08\", expect_size=\"51905536\"] \n  1 -> 2 [size =\"51905536\"]\n  2 [size=\"86300160\", alpha=\"0.06\", expect_size=\"34520064\"] \n  2 -> 3 [size =\"34520064\"]\n  3 [size=\"36277760\", alpha=\"0.06\", expect_size=\"14511104\"] \n  3 -> 4 [size =\"14511104\"]\n  4 [size=\"50664960\", alpha=\"0.13\", expect_size=\"20265984\"] \n  4 -> 5 [size =\"20265984\"]\n  5 [size=\"67197440\", alpha=\"0.15\", expect_size=\"26878976\"] \n  5 -> 6 [size =\"26878976\"]\n  6 [size=\"113863680\", alpha=\"0.03\", expect_size=\"45545472\"] \n  6 -> 7 [size =\"45545472\"]\n  7 [size=\"29084160\", alpha=\"0.12\", expect_size=\"11633664\"] \n  7 -> 8 [size =\"11633664\"]\n  8 [size=\"127311360\", alpha=\"0.10\", expect_size=\"50924544\"] \n  8 -> 9 [size =\"50924544\"]\n  9 [size=\"56066560\", alpha=\"0.08\", expect_size=\"22426624\"] \n  9 -> 10 [size =\"22426624\"]\n  10 [size=\"20646400\", alpha=\"0.15\", expect_size=\"8258560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58251264\", alpha=\"0.04\", expect_size=\"29125632\"] \n  1 -> 2 [size =\"29125632\"]\n  2 [size=\"31455232\", alpha=\"0.14\", expect_size=\"15727616\"] \n  2 -> 3 [size =\"15727616\"]\n  3 [size=\"63117312\", alpha=\"0.03\", expect_size=\"31558656\"] \n  3 -> 4 [size =\"31558656\"]\n  4 [size=\"23699456\", alpha=\"0.05\", expect_size=\"11849728\"] \n  4 -> 5 [size =\"11849728\"]\n  5 [size=\"91824128\", alpha=\"0.14\", expect_size=\"45912064\"] \n  5 -> 6 [size =\"45912064\"]\n  6 [size=\"86941696\", alpha=\"0.11\", expect_size=\"43470848\"] \n  6 -> 7 [size =\"43470848\"]\n  7 [size=\"40443904\", alpha=\"0.17\", expect_size=\"20221952\"] \n  7 -> 8 [size =\"20221952\"]\n  8 [size=\"92221440\", alpha=\"0.07\", expect_size=\"46110720\"] \n  8 -> 9 [size =\"46110720\"]\n  9 [size=\"95543296\", alpha=\"0.13\", expect_size=\"47771648\"] \n  9 -> 10 [size =\"47771648\"]\n  10 [size=\"88018944\", alpha=\"0.02\", expect_size=\"44009472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100427093\", alpha=\"0.20\", expect_size=\"30128128\"] \n  1 -> 2 [size =\"30128128\"]\n  2 [size=\"147787093\", alpha=\"0.03\", expect_size=\"44336128\"] \n  2 -> 3 [size =\"44336128\"]\n  3 [size=\"84193280\", alpha=\"0.01\", expect_size=\"25257984\"] \n  3 -> 4 [size =\"25257984\"]\n  4 [size=\"91023360\", alpha=\"0.17\", expect_size=\"27307008\"] \n  4 -> 5 [size =\"27307008\"]\n  5 [size=\"138936320\", alpha=\"0.04\", expect_size=\"41680896\"] \n  5 -> 6 [size =\"41680896\"]\n  6 [size=\"60641280\", alpha=\"0.09\", expect_size=\"18192384\"] \n  6 -> 7 [size =\"18192384\"]\n  7 [size=\"18947413\", alpha=\"0.12\", expect_size=\"5684224\"] \n  7 -> 8 [size =\"5684224\"]\n  8 [size=\"139557547\", alpha=\"0.04\", expect_size=\"41867264\"] \n  8 -> 9 [size =\"41867264\"]\n  9 [size=\"88777387\", alpha=\"0.09\", expect_size=\"26633216\"] \n  9 -> 10 [size =\"26633216\"]\n  10 [size=\"111496533\", alpha=\"0.10\", expect_size=\"33448960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50810880\", alpha=\"0.04\", expect_size=\"20324352\"] \n  1 -> 5 [size =\"20324352\"]\n  2 [size=\"115642880\", alpha=\"0.14\", expect_size=\"46257152\"] \n  2 -> 7 [size =\"46257152\"]\n  3 [size=\"21895680\", alpha=\"0.14\", expect_size=\"8758272\"] \n  3 -> 5 [size =\"8758272\"]\n  3 -> 6 [size =\"8758272\"]\n  3 -> 7 [size =\"8758272\"]\n  3 -> 8 [size =\"8758272\"]\n  4 [size=\"108160000\", alpha=\"0.05\", expect_size=\"43264000\"] \n  4 -> 8 [size =\"43264000\"]\n  5 [size=\"19571200\", alpha=\"0.11\", expect_size=\"7828480\"] \n  5 -> 9 [size =\"7828480\"]\n  5 -> 10 [size =\"7828480\"]\n  6 [size=\"125998080\", alpha=\"0.08\", expect_size=\"50399232\"] \n  7 [size=\"68088320\", alpha=\"0.03\", expect_size=\"27235328\"] \n  8 [size=\"89024000\", alpha=\"0.12\", expect_size=\"35609600\"] \n  8 -> 9 [size =\"35609600\"]\n  9 [size=\"111559680\", alpha=\"0.05\", expect_size=\"44623872\"] \n  10 [size=\"110167040\", alpha=\"0.09\", expect_size=\"44066816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107130880\", alpha=\"0.12\", expect_size=\"32139264\"] \n  1 -> 2 [size =\"32139264\"]\n  2 [size=\"102584320\", alpha=\"0.09\", expect_size=\"30775296\"] \n  2 -> 3 [size =\"30775296\"]\n  3 [size=\"120818347\", alpha=\"0.17\", expect_size=\"36245504\"] \n  3 -> 4 [size =\"36245504\"]\n  4 [size=\"36727467\", alpha=\"0.11\", expect_size=\"11018240\"] \n  4 -> 5 [size =\"11018240\"]\n  5 [size=\"31948800\", alpha=\"0.12\", expect_size=\"9584640\"] \n  5 -> 6 [size =\"9584640\"]\n  6 [size=\"49158827\", alpha=\"0.14\", expect_size=\"14747648\"] \n  6 -> 7 [size =\"14747648\"]\n  7 [size=\"78902613\", alpha=\"0.11\", expect_size=\"23670784\"] \n  7 -> 8 [size =\"23670784\"]\n  8 [size=\"110622720\", alpha=\"0.07\", expect_size=\"33186816\"] \n  8 -> 9 [size =\"33186816\"]\n  9 [size=\"25531733\", alpha=\"0.10\", expect_size=\"7659520\"] \n  9 -> 10 [size =\"7659520\"]\n  10 [size=\"118347093\", alpha=\"0.16\", expect_size=\"35504128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18737152\", alpha=\"0.08\", expect_size=\"9368576\"] \n  1 -> 2 [size =\"9368576\"]\n  2 [size=\"23980032\", alpha=\"0.08\", expect_size=\"11990016\"] \n  2 -> 3 [size =\"11990016\"]\n  3 [size=\"59412480\", alpha=\"0.15\", expect_size=\"29706240\"] \n  3 -> 4 [size =\"29706240\"]\n  4 [size=\"99588096\", alpha=\"0.04\", expect_size=\"49794048\"] \n  4 -> 5 [size =\"49794048\"]\n  5 [size=\"57262080\", alpha=\"0.01\", expect_size=\"28631040\"] \n  5 -> 6 [size =\"28631040\"]\n  6 [size=\"72579072\", alpha=\"0.02\", expect_size=\"36289536\"] \n  6 -> 7 [size =\"36289536\"]\n  7 [size=\"64606208\", alpha=\"0.16\", expect_size=\"32303104\"] \n  7 -> 8 [size =\"32303104\"]\n  8 [size=\"56897536\", alpha=\"0.04\", expect_size=\"28448768\"] \n  8 -> 9 [size =\"28448768\"]\n  9 [size=\"66256896\", alpha=\"0.16\", expect_size=\"33128448\"] \n  9 -> 10 [size =\"33128448\"]\n  10 [size=\"48523264\", alpha=\"0.14\", expect_size=\"24261632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20891648\", alpha=\"0.02\", expect_size=\"10445824\"] \n  1 -> 2 [size =\"10445824\"]\n  2 [size=\"38008832\", alpha=\"0.15\", expect_size=\"19004416\"] \n  2 -> 3 [size =\"19004416\"]\n  3 [size=\"15706112\", alpha=\"0.16\", expect_size=\"7853056\"] \n  3 -> 4 [size =\"7853056\"]\n  4 [size=\"50141184\", alpha=\"0.02\", expect_size=\"25070592\"] \n  4 -> 5 [size =\"25070592\"]\n  5 [size=\"66430976\", alpha=\"0.15\", expect_size=\"33215488\"] \n  5 -> 6 [size =\"33215488\"]\n  6 [size=\"18268160\", alpha=\"0.04\", expect_size=\"9134080\"] \n  6 -> 7 [size =\"9134080\"]\n  7 [size=\"42108928\", alpha=\"0.02\", expect_size=\"21054464\"] \n  7 -> 8 [size =\"21054464\"]\n  8 [size=\"88385536\", alpha=\"0.09\", expect_size=\"44192768\"] \n  8 -> 9 [size =\"44192768\"]\n  9 [size=\"46469120\", alpha=\"0.04\", expect_size=\"23234560\"] \n  9 -> 10 [size =\"23234560\"]\n  10 [size=\"83355648\", alpha=\"0.10\", expect_size=\"41677824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70459392\", alpha=\"0.08\", expect_size=\"35229696\"] \n  1 -> 2 [size =\"35229696\"]\n  2 [size=\"95678464\", alpha=\"0.14\", expect_size=\"47839232\"] \n  2 -> 3 [size =\"47839232\"]\n  3 [size=\"98023424\", alpha=\"0.04\", expect_size=\"49011712\"] \n  3 -> 4 [size =\"49011712\"]\n  4 [size=\"34525184\", alpha=\"0.14\", expect_size=\"17262592\"] \n  4 -> 5 [size =\"17262592\"]\n  5 [size=\"58753024\", alpha=\"0.04\", expect_size=\"29376512\"] \n  5 -> 6 [size =\"29376512\"]\n  6 [size=\"15833088\", alpha=\"0.12\", expect_size=\"7916544\"] \n  6 -> 7 [size =\"7916544\"]\n  7 [size=\"61333504\", alpha=\"0.07\", expect_size=\"30666752\"] \n  7 -> 8 [size =\"30666752\"]\n  8 [size=\"34035712\", alpha=\"0.06\", expect_size=\"17017856\"] \n  8 -> 9 [size =\"17017856\"]\n  9 [size=\"52942848\", alpha=\"0.20\", expect_size=\"26471424\"] \n  9 -> 10 [size =\"26471424\"]\n  10 [size=\"64086016\", alpha=\"0.09\", expect_size=\"32043008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61458432\", alpha=\"0.02\", expect_size=\"30729216\"] \n  1 -> 7 [size =\"30729216\"]\n  2 [size=\"22919168\", alpha=\"0.00\", expect_size=\"11459584\"] \n  2 -> 8 [size =\"11459584\"]\n  3 [size=\"14534656\", alpha=\"0.03\", expect_size=\"7267328\"] \n  3 -> 8 [size =\"7267328\"]\n  3 -> 9 [size =\"7267328\"]\n  3 -> 10 [size =\"7267328\"]\n  4 [size=\"54325248\", alpha=\"0.10\", expect_size=\"27162624\"] \n  4 -> 9 [size =\"27162624\"]\n  4 -> 10 [size =\"27162624\"]\n  5 [size=\"72777728\", alpha=\"0.16\", expect_size=\"36388864\"] \n  5 -> 10 [size =\"36388864\"]\n  6 [size=\"100364288\", alpha=\"0.01\", expect_size=\"50182144\"] \n  7 [size=\"29138944\", alpha=\"0.18\", expect_size=\"14569472\"] \n  8 [size=\"32108544\", alpha=\"0.10\", expect_size=\"16054272\"] \n  9 [size=\"46528512\", alpha=\"0.14\", expect_size=\"23264256\"] \n  10 [size=\"77436928\", alpha=\"0.03\", expect_size=\"38718464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80962560\", alpha=\"0.12\", expect_size=\"32385024\"] \n  1 -> 2 [size =\"32385024\"]\n  1 -> 3 [size =\"32385024\"]\n  1 -> 4 [size =\"32385024\"]\n  2 [size=\"90496000\", alpha=\"0.13\", expect_size=\"36198400\"] \n  3 [size=\"47421440\", alpha=\"0.12\", expect_size=\"18968576\"] \n  3 -> 5 [size =\"18968576\"]\n  3 -> 6 [size =\"18968576\"]\n  4 [size=\"30369280\", alpha=\"0.13\", expect_size=\"12147712\"] \n  4 -> 6 [size =\"12147712\"]\n  4 -> 7 [size =\"12147712\"]\n  5 [size=\"70269440\", alpha=\"0.18\", expect_size=\"28107776\"] \n  5 -> 9 [size =\"28107776\"]\n  6 [size=\"54016000\", alpha=\"0.06\", expect_size=\"21606400\"] \n  6 -> 8 [size =\"21606400\"]\n  6 -> 9 [size =\"21606400\"]\n  7 [size=\"128322560\", alpha=\"0.19\", expect_size=\"51329024\"] \n  8 [size=\"49428480\", alpha=\"0.08\", expect_size=\"19771392\"] \n  8 -> 10 [size =\"19771392\"]\n  9 [size=\"53795840\", alpha=\"0.11\", expect_size=\"21518336\"] \n  10 [size=\"116344320\", alpha=\"0.01\", expect_size=\"46537728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114736640\", alpha=\"0.12\", expect_size=\"45894656\"] \n  1 -> 2 [size =\"45894656\"]\n  2 [size=\"92556800\", alpha=\"0.03\", expect_size=\"37022720\"] \n  2 -> 3 [size =\"37022720\"]\n  3 [size=\"84328960\", alpha=\"0.09\", expect_size=\"33731584\"] \n  3 -> 4 [size =\"33731584\"]\n  4 [size=\"80701440\", alpha=\"0.15\", expect_size=\"32280576\"] \n  4 -> 5 [size =\"32280576\"]\n  5 [size=\"116897280\", alpha=\"0.19\", expect_size=\"46758912\"] \n  5 -> 6 [size =\"46758912\"]\n  6 [size=\"52170240\", alpha=\"0.19\", expect_size=\"20868096\"] \n  6 -> 7 [size =\"20868096\"]\n  7 [size=\"65991680\", alpha=\"0.04\", expect_size=\"26396672\"] \n  7 -> 8 [size =\"26396672\"]\n  8 [size=\"45726720\", alpha=\"0.20\", expect_size=\"18290688\"] \n  8 -> 9 [size =\"18290688\"]\n  9 [size=\"65925120\", alpha=\"0.06\", expect_size=\"26370048\"] \n  9 -> 10 [size =\"26370048\"]\n  10 [size=\"31452160\", alpha=\"0.08\", expect_size=\"12580864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102131200\", alpha=\"0.07\", expect_size=\"40852480\"] \n  1 -> 7 [size =\"40852480\"]\n  1 -> 8 [size =\"40852480\"]\n  2 [size=\"15454720\", alpha=\"0.14\", expect_size=\"6181888\"] \n  2 -> 7 [size =\"6181888\"]\n  3 [size=\"45058560\", alpha=\"0.04\", expect_size=\"18023424\"] \n  3 -> 7 [size =\"18023424\"]\n  3 -> 9 [size =\"18023424\"]\n  3 -> 10 [size =\"18023424\"]\n  4 [size=\"27205120\", alpha=\"0.04\", expect_size=\"10882048\"] \n  4 -> 9 [size =\"10882048\"]\n  4 -> 9 [size =\"10882048\"]\n  5 [size=\"88079360\", alpha=\"0.00\", expect_size=\"35231744\"] \n  6 [size=\"74511360\", alpha=\"0.05\", expect_size=\"29804544\"] \n  7 [size=\"13184000\", alpha=\"0.15\", expect_size=\"5273600\"] \n  8 [size=\"40253440\", alpha=\"0.09\", expect_size=\"16101376\"] \n  9 [size=\"41541120\", alpha=\"0.12\", expect_size=\"16616448\"] \n  10 [size=\"70799360\", alpha=\"0.19\", expect_size=\"28319744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95946240\", alpha=\"0.02\", expect_size=\"38378496\"] \n  1 -> 2 [size =\"38378496\"]\n  2 [size=\"49221120\", alpha=\"0.07\", expect_size=\"19688448\"] \n  2 -> 3 [size =\"19688448\"]\n  3 [size=\"115448320\", alpha=\"0.05\", expect_size=\"46179328\"] \n  3 -> 4 [size =\"46179328\"]\n  4 [size=\"76121600\", alpha=\"0.12\", expect_size=\"30448640\"] \n  4 -> 5 [size =\"30448640\"]\n  5 [size=\"26775040\", alpha=\"0.01\", expect_size=\"10710016\"] \n  5 -> 6 [size =\"10710016\"]\n  6 [size=\"115696640\", alpha=\"0.13\", expect_size=\"46278656\"] \n  6 -> 7 [size =\"46278656\"]\n  7 [size=\"102003200\", alpha=\"0.15\", expect_size=\"40801280\"] \n  7 -> 8 [size =\"40801280\"]\n  8 [size=\"51614720\", alpha=\"0.02\", expect_size=\"20645888\"] \n  8 -> 9 [size =\"20645888\"]\n  9 [size=\"81748480\", alpha=\"0.12\", expect_size=\"32699392\"] \n  9 -> 10 [size =\"32699392\"]\n  10 [size=\"81684480\", alpha=\"0.09\", expect_size=\"32673792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168045227\", alpha=\"0.11\", expect_size=\"50413568\"] \n  1 -> 9 [size =\"50413568\"]\n  1 -> 10 [size =\"50413568\"]\n  2 [size=\"79356587\", alpha=\"0.18\", expect_size=\"23806976\"] \n  2 -> 6 [size =\"23806976\"]\n  2 -> 8 [size =\"23806976\"]\n  3 [size=\"171748693\", alpha=\"0.04\", expect_size=\"51524608\"] \n  3 -> 7 [size =\"51524608\"]\n  3 -> 8 [size =\"51524608\"]\n  4 [size=\"135816533\", alpha=\"0.18\", expect_size=\"40744960\"] \n  4 -> 6 [size =\"40744960\"]\n  4 -> 7 [size =\"40744960\"]\n  4 -> 8 [size =\"40744960\"]\n  5 [size=\"30679040\", alpha=\"0.05\", expect_size=\"9203712\"] \n  5 -> 7 [size =\"9203712\"]\n  5 -> 8 [size =\"9203712\"]\n  6 [size=\"104857600\", alpha=\"0.07\", expect_size=\"31457280\"] \n  7 [size=\"137509547\", alpha=\"0.00\", expect_size=\"41252864\"] \n  8 [size=\"46059520\", alpha=\"0.06\", expect_size=\"13817856\"] \n  9 [size=\"23784107\", alpha=\"0.09\", expect_size=\"7135232\"] \n  10 [size=\"126931627\", alpha=\"0.04\", expect_size=\"38079488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17216000\", alpha=\"0.07\", expect_size=\"6886400\"] \n  1 -> 3 [size =\"6886400\"]\n  1 -> 4 [size =\"6886400\"]\n  1 -> 5 [size =\"6886400\"]\n  2 [size=\"124247040\", alpha=\"0.12\", expect_size=\"49698816\"] \n  2 -> 3 [size =\"49698816\"]\n  2 -> 4 [size =\"49698816\"]\n  2 -> 5 [size =\"49698816\"]\n  2 -> 6 [size =\"49698816\"]\n  2 -> 7 [size =\"49698816\"]\n  2 -> 8 [size =\"49698816\"]\n  3 [size=\"53501440\", alpha=\"0.12\", expect_size=\"21400576\"] \n  3 -> 10 [size =\"21400576\"]\n  4 [size=\"39193600\", alpha=\"0.01\", expect_size=\"15677440\"] \n  4 -> 10 [size =\"15677440\"]\n  5 [size=\"35832320\", alpha=\"0.12\", expect_size=\"14332928\"] \n  5 -> 10 [size =\"14332928\"]\n  6 [size=\"130846720\", alpha=\"0.18\", expect_size=\"52338688\"] \n  6 -> 9 [size =\"52338688\"]\n  6 -> 10 [size =\"52338688\"]\n  7 [size=\"52712960\", alpha=\"0.09\", expect_size=\"21085184\"] \n  7 -> 10 [size =\"21085184\"]\n  8 [size=\"65300480\", alpha=\"0.19\", expect_size=\"26120192\"] \n  9 [size=\"61829120\", alpha=\"0.07\", expect_size=\"24731648\"] \n  10 [size=\"39828480\", alpha=\"0.03\", expect_size=\"15931392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44977493\", alpha=\"0.16\", expect_size=\"13493248\"] \n  2 [size=\"62320640\", alpha=\"0.01\", expect_size=\"18696192\"] \n  3 [size=\"50967893\", alpha=\"0.15\", expect_size=\"15290368\"] \n  4 [size=\"160955733\", alpha=\"0.13\", expect_size=\"48286720\"] \n  5 [size=\"106359467\", alpha=\"0.09\", expect_size=\"31907840\"] \n  6 [size=\"116619947\", alpha=\"0.10\", expect_size=\"34985984\"] \n  6 -> 10 [size =\"34985984\"]\n  7 [size=\"107731627\", alpha=\"0.07\", expect_size=\"32319488\"] \n  7 -> 10 [size =\"32319488\"]\n  8 [size=\"126259200\", alpha=\"0.05\", expect_size=\"37877760\"] \n  8 -> 9 [size =\"37877760\"]\n  9 [size=\"160529067\", alpha=\"0.07\", expect_size=\"48158720\"] \n  10 [size=\"94139733\", alpha=\"0.01\", expect_size=\"28241920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46092800\", alpha=\"0.17\", expect_size=\"18437120\"] \n  1 -> 2 [size =\"18437120\"]\n  2 [size=\"39339520\", alpha=\"0.11\", expect_size=\"15735808\"] \n  2 -> 3 [size =\"15735808\"]\n  3 [size=\"51207680\", alpha=\"0.05\", expect_size=\"20483072\"] \n  3 -> 4 [size =\"20483072\"]\n  4 [size=\"52280320\", alpha=\"0.01\", expect_size=\"20912128\"] \n  4 -> 5 [size =\"20912128\"]\n  5 [size=\"100664320\", alpha=\"0.17\", expect_size=\"40265728\"] \n  5 -> 6 [size =\"40265728\"]\n  6 [size=\"37721600\", alpha=\"0.04\", expect_size=\"15088640\"] \n  6 -> 7 [size =\"15088640\"]\n  7 [size=\"130959360\", alpha=\"0.14\", expect_size=\"52383744\"] \n  7 -> 8 [size =\"52383744\"]\n  8 [size=\"123927040\", alpha=\"0.09\", expect_size=\"49570816\"] \n  8 -> 9 [size =\"49570816\"]\n  9 [size=\"43330560\", alpha=\"0.04\", expect_size=\"17332224\"] \n  9 -> 10 [size =\"17332224\"]\n  10 [size=\"89103360\", alpha=\"0.00\", expect_size=\"35641344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38643712\", alpha=\"0.03\", expect_size=\"19321856\"] \n  1 -> 2 [size =\"19321856\"]\n  2 [size=\"41238528\", alpha=\"0.09\", expect_size=\"20619264\"] \n  2 -> 3 [size =\"20619264\"]\n  3 [size=\"28067840\", alpha=\"0.13\", expect_size=\"14033920\"] \n  3 -> 4 [size =\"14033920\"]\n  4 [size=\"72404992\", alpha=\"0.03\", expect_size=\"36202496\"] \n  4 -> 5 [size =\"36202496\"]\n  5 [size=\"24502272\", alpha=\"0.17\", expect_size=\"12251136\"] \n  5 -> 6 [size =\"12251136\"]\n  6 [size=\"26372096\", alpha=\"0.12\", expect_size=\"13186048\"] \n  6 -> 7 [size =\"13186048\"]\n  7 [size=\"75190272\", alpha=\"0.19\", expect_size=\"37595136\"] \n  7 -> 8 [size =\"37595136\"]\n  8 [size=\"90066944\", alpha=\"0.16\", expect_size=\"45033472\"] \n  8 -> 9 [size =\"45033472\"]\n  9 [size=\"38879232\", alpha=\"0.09\", expect_size=\"19439616\"] \n  9 -> 10 [size =\"19439616\"]\n  10 [size=\"96518144\", alpha=\"0.08\", expect_size=\"48259072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50900480\", alpha=\"0.19\", expect_size=\"20360192\"] \n  1 -> 2 [size =\"20360192\"]\n  2 [size=\"123141120\", alpha=\"0.08\", expect_size=\"49256448\"] \n  2 -> 3 [size =\"49256448\"]\n  3 [size=\"19384320\", alpha=\"0.01\", expect_size=\"7753728\"] \n  3 -> 4 [size =\"7753728\"]\n  4 [size=\"70195200\", alpha=\"0.16\", expect_size=\"28078080\"] \n  4 -> 5 [size =\"28078080\"]\n  5 [size=\"79029760\", alpha=\"0.06\", expect_size=\"31611904\"] \n  5 -> 6 [size =\"31611904\"]\n  6 [size=\"28712960\", alpha=\"0.20\", expect_size=\"11485184\"] \n  6 -> 7 [size =\"11485184\"]\n  7 [size=\"57564160\", alpha=\"0.04\", expect_size=\"23025664\"] \n  7 -> 8 [size =\"23025664\"]\n  8 [size=\"42874880\", alpha=\"0.03\", expect_size=\"17149952\"] \n  8 -> 9 [size =\"17149952\"]\n  9 [size=\"113561600\", alpha=\"0.16\", expect_size=\"45424640\"] \n  9 -> 10 [size =\"45424640\"]\n  10 [size=\"35079680\", alpha=\"0.06\", expect_size=\"14031872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62440107\", alpha=\"0.01\", expect_size=\"18732032\"] \n  1 -> 2 [size =\"18732032\"]\n  1 -> 3 [size =\"18732032\"]\n  1 -> 4 [size =\"18732032\"]\n  1 -> 5 [size =\"18732032\"]\n  2 [size=\"163464533\", alpha=\"0.04\", expect_size=\"49039360\"] \n  2 -> 8 [size =\"49039360\"]\n  3 [size=\"71502507\", alpha=\"0.05\", expect_size=\"21450752\"] \n  3 -> 6 [size =\"21450752\"]\n  3 -> 8 [size =\"21450752\"]\n  4 [size=\"102608213\", alpha=\"0.06\", expect_size=\"30782464\"] \n  4 -> 6 [size =\"30782464\"]\n  5 [size=\"83892907\", alpha=\"0.09\", expect_size=\"25167872\"] \n  5 -> 7 [size =\"25167872\"]\n  6 [size=\"145582080\", alpha=\"0.18\", expect_size=\"43674624\"] \n  6 -> 9 [size =\"43674624\"]\n  6 -> 10 [size =\"43674624\"]\n  7 [size=\"170434560\", alpha=\"0.05\", expect_size=\"51130368\"] \n  7 -> 9 [size =\"51130368\"]\n  7 -> 10 [size =\"51130368\"]\n  8 [size=\"33242453\", alpha=\"0.18\", expect_size=\"9972736\"] \n  8 -> 10 [size =\"9972736\"]\n  9 [size=\"28917760\", alpha=\"0.08\", expect_size=\"8675328\"] \n  10 [size=\"43673600\", alpha=\"0.00\", expect_size=\"13102080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55859200\", alpha=\"0.11\", expect_size=\"22343680\"] \n  1 -> 2 [size =\"22343680\"]\n  2 [size=\"30187520\", alpha=\"0.14\", expect_size=\"12075008\"] \n  2 -> 3 [size =\"12075008\"]\n  3 [size=\"46784000\", alpha=\"0.07\", expect_size=\"18713600\"] \n  3 -> 4 [size =\"18713600\"]\n  4 [size=\"88386560\", alpha=\"0.00\", expect_size=\"35354624\"] \n  4 -> 5 [size =\"35354624\"]\n  5 [size=\"57707520\", alpha=\"0.14\", expect_size=\"23083008\"] \n  5 -> 6 [size =\"23083008\"]\n  6 [size=\"79024640\", alpha=\"0.16\", expect_size=\"31609856\"] \n  6 -> 7 [size =\"31609856\"]\n  7 [size=\"102487040\", alpha=\"0.13\", expect_size=\"40994816\"] \n  7 -> 8 [size =\"40994816\"]\n  8 [size=\"80122880\", alpha=\"0.17\", expect_size=\"32049152\"] \n  8 -> 9 [size =\"32049152\"]\n  9 [size=\"66117120\", alpha=\"0.07\", expect_size=\"26446848\"] \n  9 -> 10 [size =\"26446848\"]\n  10 [size=\"40230400\", alpha=\"0.12\", expect_size=\"16092160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86847488\", alpha=\"0.15\", expect_size=\"43423744\"] \n  1 -> 4 [size =\"43423744\"]\n  1 -> 8 [size =\"43423744\"]\n  1 -> 9 [size =\"43423744\"]\n  2 [size=\"97964032\", alpha=\"0.14\", expect_size=\"48982016\"] \n  2 -> 4 [size =\"48982016\"]\n  2 -> 6 [size =\"48982016\"]\n  2 -> 7 [size =\"48982016\"]\n  2 -> 9 [size =\"48982016\"]\n  3 [size=\"62214144\", alpha=\"0.05\", expect_size=\"31107072\"] \n  3 -> 4 [size =\"31107072\"]\n  3 -> 5 [size =\"31107072\"]\n  3 -> 9 [size =\"31107072\"]\n  4 [size=\"94957568\", alpha=\"0.11\", expect_size=\"47478784\"] \n  4 -> 10 [size =\"47478784\"]\n  5 [size=\"14327808\", alpha=\"0.15\", expect_size=\"7163904\"] \n  6 [size=\"40026112\", alpha=\"0.03\", expect_size=\"20013056\"] \n  7 [size=\"91465728\", alpha=\"0.11\", expect_size=\"45732864\"] \n  7 -> 10 [size =\"45732864\"]\n  8 [size=\"97427456\", alpha=\"0.19\", expect_size=\"48713728\"] \n  9 [size=\"43929600\", alpha=\"0.19\", expect_size=\"21964800\"] \n  9 -> 10 [size =\"21964800\"]\n  10 [size=\"48056320\", alpha=\"0.06\", expect_size=\"24028160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155050667\", alpha=\"0.07\", expect_size=\"46515200\"] \n  1 -> 2 [size =\"46515200\"]\n  2 [size=\"133949440\", alpha=\"0.13\", expect_size=\"40184832\"] \n  2 -> 3 [size =\"40184832\"]\n  3 [size=\"118070613\", alpha=\"0.04\", expect_size=\"35421184\"] \n  3 -> 4 [size =\"35421184\"]\n  4 [size=\"88449707\", alpha=\"0.12\", expect_size=\"26534912\"] \n  4 -> 5 [size =\"26534912\"]\n  5 [size=\"138816853\", alpha=\"0.13\", expect_size=\"41645056\"] \n  5 -> 6 [size =\"41645056\"]\n  6 [size=\"96631467\", alpha=\"0.13\", expect_size=\"28989440\"] \n  6 -> 7 [size =\"28989440\"]\n  7 [size=\"84544853\", alpha=\"0.17\", expect_size=\"25363456\"] \n  7 -> 8 [size =\"25363456\"]\n  8 [size=\"167065600\", alpha=\"0.03\", expect_size=\"50119680\"] \n  8 -> 9 [size =\"50119680\"]\n  9 [size=\"169987413\", alpha=\"0.02\", expect_size=\"50996224\"] \n  9 -> 10 [size =\"50996224\"]\n  10 [size=\"91231573\", alpha=\"0.10\", expect_size=\"27369472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25131008\", alpha=\"0.17\", expect_size=\"12565504\"] \n  1 -> 6 [size =\"12565504\"]\n  1 -> 7 [size =\"12565504\"]\n  2 [size=\"78139392\", alpha=\"0.10\", expect_size=\"39069696\"] \n  2 -> 6 [size =\"39069696\"]\n  2 -> 8 [size =\"39069696\"]\n  3 [size=\"28923904\", alpha=\"0.03\", expect_size=\"14461952\"] \n  3 -> 7 [size =\"14461952\"]\n  3 -> 8 [size =\"14461952\"]\n  3 -> 9 [size =\"14461952\"]\n  4 [size=\"23703552\", alpha=\"0.09\", expect_size=\"11851776\"] \n  4 -> 9 [size =\"11851776\"]\n  5 [size=\"14694400\", alpha=\"0.16\", expect_size=\"7347200\"] \n  5 -> 6 [size =\"7347200\"]\n  6 [size=\"18767872\", alpha=\"0.11\", expect_size=\"9383936\"] \n  7 [size=\"29538304\", alpha=\"0.07\", expect_size=\"14769152\"] \n  7 -> 10 [size =\"14769152\"]\n  8 [size=\"68487168\", alpha=\"0.16\", expect_size=\"34243584\"] \n  8 -> 10 [size =\"34243584\"]\n  9 [size=\"61409280\", alpha=\"0.07\", expect_size=\"30704640\"] \n  10 [size=\"18145280\", alpha=\"0.16\", expect_size=\"9072640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98549760\", alpha=\"0.05\", expect_size=\"29564928\"] \n  1 -> 7 [size =\"29564928\"]\n  1 -> 8 [size =\"29564928\"]\n  2 [size=\"145896107\", alpha=\"0.16\", expect_size=\"43768832\"] \n  2 -> 8 [size =\"43768832\"]\n  2 -> 8 [size =\"43768832\"]\n  2 -> 9 [size =\"43768832\"]\n  3 [size=\"111691093\", alpha=\"0.08\", expect_size=\"33507328\"] \n  4 [size=\"96256000\", alpha=\"0.09\", expect_size=\"28876800\"] \n  4 -> 7 [size =\"28876800\"]\n  4 -> 10 [size =\"28876800\"]\n  5 [size=\"84998827\", alpha=\"0.18\", expect_size=\"25499648\"] \n  5 -> 8 [size =\"25499648\"]\n  5 -> 9 [size =\"25499648\"]\n  5 -> 10 [size =\"25499648\"]\n  6 [size=\"152337067\", alpha=\"0.12\", expect_size=\"45701120\"] \n  6 -> 8 [size =\"45701120\"]\n  7 [size=\"132427093\", alpha=\"0.02\", expect_size=\"39728128\"] \n  8 [size=\"116462933\", alpha=\"0.09\", expect_size=\"34938880\"] \n  9 [size=\"59351040\", alpha=\"0.06\", expect_size=\"17805312\"] \n  10 [size=\"19063467\", alpha=\"0.15\", expect_size=\"5719040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164123307\", alpha=\"0.15\", expect_size=\"49236992\"] \n  1 -> 2 [size =\"49236992\"]\n  2 [size=\"104352427\", alpha=\"0.08\", expect_size=\"31305728\"] \n  2 -> 3 [size =\"31305728\"]\n  3 [size=\"53777067\", alpha=\"0.07\", expect_size=\"16133120\"] \n  3 -> 4 [size =\"16133120\"]\n  4 [size=\"84224000\", alpha=\"0.19\", expect_size=\"25267200\"] \n  4 -> 5 [size =\"25267200\"]\n  5 [size=\"173349547\", alpha=\"0.01\", expect_size=\"52004864\"] \n  5 -> 6 [size =\"52004864\"]\n  6 [size=\"77619200\", alpha=\"0.07\", expect_size=\"23285760\"] \n  6 -> 7 [size =\"23285760\"]\n  7 [size=\"172489387\", alpha=\"0.11\", expect_size=\"51746816\"] \n  7 -> 8 [size =\"51746816\"]\n  8 [size=\"42803200\", alpha=\"0.04\", expect_size=\"12840960\"] \n  8 -> 9 [size =\"12840960\"]\n  9 [size=\"111981227\", alpha=\"0.09\", expect_size=\"33594368\"] \n  9 -> 10 [size =\"33594368\"]\n  10 [size=\"138089813\", alpha=\"0.13\", expect_size=\"41426944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103712768\", alpha=\"0.08\", expect_size=\"51856384\"] \n  2 [size=\"54009856\", alpha=\"0.14\", expect_size=\"27004928\"] \n  2 -> 3 [size =\"27004928\"]\n  2 -> 4 [size =\"27004928\"]\n  3 [size=\"52840448\", alpha=\"0.11\", expect_size=\"26420224\"] \n  3 -> 7 [size =\"26420224\"]\n  4 [size=\"72124416\", alpha=\"0.06\", expect_size=\"36062208\"] \n  4 -> 5 [size =\"36062208\"]\n  4 -> 6 [size =\"36062208\"]\n  5 [size=\"19070976\", alpha=\"0.15\", expect_size=\"9535488\"] \n  5 -> 10 [size =\"9535488\"]\n  6 [size=\"33576960\", alpha=\"0.01\", expect_size=\"16788480\"] \n  6 -> 8 [size =\"16788480\"]\n  6 -> 9 [size =\"16788480\"]\n  6 -> 10 [size =\"16788480\"]\n  7 [size=\"94748672\", alpha=\"0.10\", expect_size=\"47374336\"] \n  7 -> 9 [size =\"47374336\"]\n  8 [size=\"42270720\", alpha=\"0.14\", expect_size=\"21135360\"] \n  9 [size=\"26134528\", alpha=\"0.16\", expect_size=\"13067264\"] \n  10 [size=\"63076352\", alpha=\"0.10\", expect_size=\"31538176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51870720\", alpha=\"0.07\", expect_size=\"20748288\"] \n  1 -> 6 [size =\"20748288\"]\n  1 -> 7 [size =\"20748288\"]\n  2 [size=\"88371200\", alpha=\"0.01\", expect_size=\"35348480\"] \n  2 -> 6 [size =\"35348480\"]\n  2 -> 7 [size =\"35348480\"]\n  2 -> 10 [size =\"35348480\"]\n  3 [size=\"122554880\", alpha=\"0.19\", expect_size=\"49021952\"] \n  3 -> 6 [size =\"49021952\"]\n  3 -> 7 [size =\"49021952\"]\n  3 -> 8 [size =\"49021952\"]\n  3 -> 9 [size =\"49021952\"]\n  3 -> 10 [size =\"49021952\"]\n  4 [size=\"68221440\", alpha=\"0.15\", expect_size=\"27288576\"] \n  4 -> 7 [size =\"27288576\"]\n  4 -> 10 [size =\"27288576\"]\n  5 [size=\"57085440\", alpha=\"0.09\", expect_size=\"22834176\"] \n  5 -> 6 [size =\"22834176\"]\n  5 -> 7 [size =\"22834176\"]\n  5 -> 10 [size =\"22834176\"]\n  6 [size=\"123484160\", alpha=\"0.12\", expect_size=\"49393664\"] \n  7 [size=\"90513920\", alpha=\"0.16\", expect_size=\"36205568\"] \n  8 [size=\"53867520\", alpha=\"0.16\", expect_size=\"21547008\"] \n  9 [size=\"73541120\", alpha=\"0.17\", expect_size=\"29416448\"] \n  10 [size=\"116720640\", alpha=\"0.09\", expect_size=\"46688256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31885312\", alpha=\"0.07\", expect_size=\"15942656\"] \n  1 -> 3 [size =\"15942656\"]\n  2 [size=\"24115200\", alpha=\"0.11\", expect_size=\"12057600\"] \n  2 -> 4 [size =\"12057600\"]\n  3 [size=\"56752128\", alpha=\"0.03\", expect_size=\"28376064\"] \n  3 -> 5 [size =\"28376064\"]\n  3 -> 6 [size =\"28376064\"]\n  3 -> 7 [size =\"28376064\"]\n  4 [size=\"44863488\", alpha=\"0.03\", expect_size=\"22431744\"] \n  4 -> 6 [size =\"22431744\"]\n  5 [size=\"88059904\", alpha=\"0.11\", expect_size=\"44029952\"] \n  5 -> 8 [size =\"44029952\"]\n  6 [size=\"47980544\", alpha=\"0.15\", expect_size=\"23990272\"] \n  6 -> 9 [size =\"23990272\"]\n  7 [size=\"77506560\", alpha=\"0.19\", expect_size=\"38753280\"] \n  7 -> 9 [size =\"38753280\"]\n  7 -> 10 [size =\"38753280\"]\n  8 [size=\"35108864\", alpha=\"0.00\", expect_size=\"17554432\"] \n  9 [size=\"61806592\", alpha=\"0.05\", expect_size=\"30903296\"] \n  10 [size=\"92573696\", alpha=\"0.04\", expect_size=\"46286848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17735680\", alpha=\"0.09\", expect_size=\"5320704\"] \n  1 -> 2 [size =\"5320704\"]\n  2 [size=\"168273920\", alpha=\"0.11\", expect_size=\"50482176\"] \n  2 -> 3 [size =\"50482176\"]\n  3 [size=\"123528533\", alpha=\"0.18\", expect_size=\"37058560\"] \n  3 -> 4 [size =\"37058560\"]\n  4 [size=\"128802133\", alpha=\"0.07\", expect_size=\"38640640\"] \n  4 -> 5 [size =\"38640640\"]\n  5 [size=\"33187840\", alpha=\"0.07\", expect_size=\"9956352\"] \n  5 -> 6 [size =\"9956352\"]\n  6 [size=\"48981333\", alpha=\"0.08\", expect_size=\"14694400\"] \n  6 -> 7 [size =\"14694400\"]\n  7 [size=\"49821013\", alpha=\"0.09\", expect_size=\"14946304\"] \n  7 -> 8 [size =\"14946304\"]\n  8 [size=\"55784107\", alpha=\"0.10\", expect_size=\"16735232\"] \n  8 -> 9 [size =\"16735232\"]\n  9 [size=\"55009280\", alpha=\"0.00\", expect_size=\"16502784\"] \n  9 -> 10 [size =\"16502784\"]\n  10 [size=\"62464000\", alpha=\"0.13\", expect_size=\"18739200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34654208\", alpha=\"0.18\", expect_size=\"17327104\"] \n  1 -> 2 [size =\"17327104\"]\n  2 [size=\"87406592\", alpha=\"0.10\", expect_size=\"43703296\"] \n  2 -> 3 [size =\"43703296\"]\n  3 [size=\"49059840\", alpha=\"0.19\", expect_size=\"24529920\"] \n  3 -> 4 [size =\"24529920\"]\n  4 [size=\"98387968\", alpha=\"0.06\", expect_size=\"49193984\"] \n  4 -> 5 [size =\"49193984\"]\n  5 [size=\"94724096\", alpha=\"0.07\", expect_size=\"47362048\"] \n  5 -> 6 [size =\"47362048\"]\n  6 [size=\"28061696\", alpha=\"0.10\", expect_size=\"14030848\"] \n  6 -> 7 [size =\"14030848\"]\n  7 [size=\"70922240\", alpha=\"0.00\", expect_size=\"35461120\"] \n  7 -> 8 [size =\"35461120\"]\n  8 [size=\"57810944\", alpha=\"0.09\", expect_size=\"28905472\"] \n  8 -> 9 [size =\"28905472\"]\n  9 [size=\"88401920\", alpha=\"0.04\", expect_size=\"44200960\"] \n  9 -> 10 [size =\"44200960\"]\n  10 [size=\"35684352\", alpha=\"0.06\", expect_size=\"17842176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138833920\", alpha=\"0.04\", expect_size=\"41650176\"] \n  1 -> 2 [size =\"41650176\"]\n  2 [size=\"161317547\", alpha=\"0.19\", expect_size=\"48395264\"] \n  2 -> 3 [size =\"48395264\"]\n  3 [size=\"59490987\", alpha=\"0.17\", expect_size=\"17847296\"] \n  3 -> 4 [size =\"17847296\"]\n  4 [size=\"56712533\", alpha=\"0.18\", expect_size=\"17013760\"] \n  4 -> 5 [size =\"17013760\"]\n  5 [size=\"63337813\", alpha=\"0.16\", expect_size=\"19001344\"] \n  5 -> 6 [size =\"19001344\"]\n  6 [size=\"39024640\", alpha=\"0.08\", expect_size=\"11707392\"] \n  6 -> 7 [size =\"11707392\"]\n  7 [size=\"145855147\", alpha=\"0.05\", expect_size=\"43756544\"] \n  7 -> 8 [size =\"43756544\"]\n  8 [size=\"79185920\", alpha=\"0.15\", expect_size=\"23755776\"] \n  8 -> 9 [size =\"23755776\"]\n  9 [size=\"151910400\", alpha=\"0.09\", expect_size=\"45573120\"] \n  9 -> 10 [size =\"45573120\"]\n  10 [size=\"98597547\", alpha=\"0.13\", expect_size=\"29579264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53551104\", alpha=\"0.14\", expect_size=\"26775552\"] \n  1 -> 6 [size =\"26775552\"]\n  1 -> 8 [size =\"26775552\"]\n  2 [size=\"72517632\", alpha=\"0.17\", expect_size=\"36258816\"] \n  2 -> 6 [size =\"36258816\"]\n  2 -> 7 [size =\"36258816\"]\n  3 [size=\"79128576\", alpha=\"0.02\", expect_size=\"39564288\"] \n  3 -> 4 [size =\"39564288\"]\n  3 -> 5 [size =\"39564288\"]\n  3 -> 8 [size =\"39564288\"]\n  4 [size=\"77436928\", alpha=\"0.11\", expect_size=\"38718464\"] \n  5 [size=\"55201792\", alpha=\"0.15\", expect_size=\"27600896\"] \n  5 -> 10 [size =\"27600896\"]\n  6 [size=\"30857216\", alpha=\"0.06\", expect_size=\"15428608\"] \n  6 -> 10 [size =\"15428608\"]\n  7 [size=\"56338432\", alpha=\"0.06\", expect_size=\"28169216\"] \n  7 -> 9 [size =\"28169216\"]\n  7 -> 10 [size =\"28169216\"]\n  8 [size=\"95715328\", alpha=\"0.07\", expect_size=\"47857664\"] \n  8 -> 9 [size =\"47857664\"]\n  9 [size=\"83331072\", alpha=\"0.12\", expect_size=\"41665536\"] \n  10 [size=\"25683968\", alpha=\"0.06\", expect_size=\"12841984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84518400\", alpha=\"0.03\", expect_size=\"33807360\"] \n  1 -> 5 [size =\"33807360\"]\n  1 -> 6 [size =\"33807360\"]\n  1 -> 8 [size =\"33807360\"]\n  2 [size=\"117680640\", alpha=\"0.06\", expect_size=\"47072256\"] \n  2 -> 7 [size =\"47072256\"]\n  3 [size=\"102727680\", alpha=\"0.19\", expect_size=\"41091072\"] \n  3 -> 7 [size =\"41091072\"]\n  3 -> 8 [size =\"41091072\"]\n  4 [size=\"72673280\", alpha=\"0.12\", expect_size=\"29069312\"] \n  4 -> 5 [size =\"29069312\"]\n  4 -> 8 [size =\"29069312\"]\n  5 [size=\"114713600\", alpha=\"0.18\", expect_size=\"45885440\"] \n  5 -> 9 [size =\"45885440\"]\n  6 [size=\"38970880\", alpha=\"0.12\", expect_size=\"15588352\"] \n  6 -> 9 [size =\"15588352\"]\n  7 [size=\"13158400\", alpha=\"0.19\", expect_size=\"5263360\"] \n  8 [size=\"105520640\", alpha=\"0.03\", expect_size=\"42208256\"] \n  8 -> 9 [size =\"42208256\"]\n  8 -> 10 [size =\"42208256\"]\n  9 [size=\"46328320\", alpha=\"0.11\", expect_size=\"18531328\"] \n  10 [size=\"70996480\", alpha=\"0.17\", expect_size=\"28398592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65134592\", alpha=\"0.03\", expect_size=\"32567296\"] \n  1 -> 3 [size =\"32567296\"]\n  2 [size=\"49690624\", alpha=\"0.06\", expect_size=\"24845312\"] \n  2 -> 4 [size =\"24845312\"]\n  3 [size=\"37265408\", alpha=\"0.12\", expect_size=\"18632704\"] \n  3 -> 5 [size =\"18632704\"]\n  4 [size=\"15843328\", alpha=\"0.10\", expect_size=\"7921664\"] \n  4 -> 6 [size =\"7921664\"]\n  5 [size=\"98531328\", alpha=\"0.18\", expect_size=\"49265664\"] \n  5 -> 7 [size =\"49265664\"]\n  5 -> 8 [size =\"49265664\"]\n  6 [size=\"80488448\", alpha=\"0.12\", expect_size=\"40244224\"] \n  6 -> 9 [size =\"40244224\"]\n  7 [size=\"74905600\", alpha=\"0.01\", expect_size=\"37452800\"] \n  7 -> 10 [size =\"37452800\"]\n  8 [size=\"61061120\", alpha=\"0.13\", expect_size=\"30530560\"] \n  9 [size=\"23955456\", alpha=\"0.13\", expect_size=\"11977728\"] \n  10 [size=\"34369536\", alpha=\"0.08\", expect_size=\"17184768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67857067\", alpha=\"0.02\", expect_size=\"20357120\"] \n  1 -> 2 [size =\"20357120\"]\n  2 [size=\"130041173\", alpha=\"0.14\", expect_size=\"39012352\"] \n  2 -> 3 [size =\"39012352\"]\n  3 [size=\"71833600\", alpha=\"0.19\", expect_size=\"21550080\"] \n  3 -> 4 [size =\"21550080\"]\n  4 [size=\"50097493\", alpha=\"0.04\", expect_size=\"15029248\"] \n  4 -> 5 [size =\"15029248\"]\n  5 [size=\"173677227\", alpha=\"0.04\", expect_size=\"52103168\"] \n  5 -> 6 [size =\"52103168\"]\n  6 [size=\"173943467\", alpha=\"0.11\", expect_size=\"52183040\"] \n  6 -> 7 [size =\"52183040\"]\n  7 [size=\"72553813\", alpha=\"0.18\", expect_size=\"21766144\"] \n  7 -> 8 [size =\"21766144\"]\n  8 [size=\"107543893\", alpha=\"0.15\", expect_size=\"32263168\"] \n  8 -> 9 [size =\"32263168\"]\n  9 [size=\"167055360\", alpha=\"0.05\", expect_size=\"50116608\"] \n  9 -> 10 [size =\"50116608\"]\n  10 [size=\"139011413\", alpha=\"0.16\", expect_size=\"41703424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165017600\", alpha=\"0.14\", expect_size=\"49505280\"] \n  1 -> 10 [size =\"49505280\"]\n  2 [size=\"92252160\", alpha=\"0.07\", expect_size=\"27675648\"] \n  2 -> 7 [size =\"27675648\"]\n  2 -> 9 [size =\"27675648\"]\n  2 -> 10 [size =\"27675648\"]\n  3 [size=\"41553920\", alpha=\"0.17\", expect_size=\"12466176\"] \n  3 -> 9 [size =\"12466176\"]\n  3 -> 9 [size =\"12466176\"]\n  3 -> 10 [size =\"12466176\"]\n  4 [size=\"88292693\", alpha=\"0.07\", expect_size=\"26487808\"] \n  4 -> 7 [size =\"26487808\"]\n  5 [size=\"24698880\", alpha=\"0.05\", expect_size=\"7409664\"] \n  5 -> 8 [size =\"7409664\"]\n  5 -> 9 [size =\"7409664\"]\n  6 [size=\"20203520\", alpha=\"0.11\", expect_size=\"6061056\"] \n  6 -> 7 [size =\"6061056\"]\n  6 -> 10 [size =\"6061056\"]\n  7 [size=\"106188800\", alpha=\"0.19\", expect_size=\"31856640\"] \n  8 [size=\"128590507\", alpha=\"0.10\", expect_size=\"38577152\"] \n  9 [size=\"162515627\", alpha=\"0.12\", expect_size=\"48754688\"] \n  10 [size=\"167615147\", alpha=\"0.01\", expect_size=\"50284544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18622464\", alpha=\"0.15\", expect_size=\"9311232\"] \n  2 [size=\"99518464\", alpha=\"0.09\", expect_size=\"49759232\"] \n  2 -> 4 [size =\"49759232\"]\n  2 -> 5 [size =\"49759232\"]\n  3 [size=\"92280832\", alpha=\"0.04\", expect_size=\"46140416\"] \n  3 -> 4 [size =\"46140416\"]\n  3 -> 5 [size =\"46140416\"]\n  3 -> 6 [size =\"46140416\"]\n  4 [size=\"98519040\", alpha=\"0.01\", expect_size=\"49259520\"] \n  4 -> 7 [size =\"49259520\"]\n  5 [size=\"65593344\", alpha=\"0.05\", expect_size=\"32796672\"] \n  5 -> 7 [size =\"32796672\"]\n  6 [size=\"92481536\", alpha=\"0.19\", expect_size=\"46240768\"] \n  6 -> 7 [size =\"46240768\"]\n  7 [size=\"87965696\", alpha=\"0.02\", expect_size=\"43982848\"] \n  7 -> 8 [size =\"43982848\"]\n  7 -> 9 [size =\"43982848\"]\n  7 -> 10 [size =\"43982848\"]\n  8 [size=\"98406400\", alpha=\"0.07\", expect_size=\"49203200\"] \n  9 [size=\"80637952\", alpha=\"0.18\", expect_size=\"40318976\"] \n  10 [size=\"48545792\", alpha=\"0.19\", expect_size=\"24272896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58841600\", alpha=\"0.00\", expect_size=\"23536640\"] \n  1 -> 2 [size =\"23536640\"]\n  2 [size=\"17699840\", alpha=\"0.09\", expect_size=\"7079936\"] \n  2 -> 3 [size =\"7079936\"]\n  3 [size=\"66224640\", alpha=\"0.13\", expect_size=\"26489856\"] \n  3 -> 4 [size =\"26489856\"]\n  4 [size=\"95249920\", alpha=\"0.01\", expect_size=\"38099968\"] \n  4 -> 5 [size =\"38099968\"]\n  5 [size=\"99366400\", alpha=\"0.11\", expect_size=\"39746560\"] \n  5 -> 6 [size =\"39746560\"]\n  6 [size=\"118773760\", alpha=\"0.05\", expect_size=\"47509504\"] \n  6 -> 7 [size =\"47509504\"]\n  7 [size=\"64409600\", alpha=\"0.03\", expect_size=\"25763840\"] \n  7 -> 8 [size =\"25763840\"]\n  8 [size=\"108968960\", alpha=\"0.06\", expect_size=\"43587584\"] \n  8 -> 9 [size =\"43587584\"]\n  9 [size=\"26959360\", alpha=\"0.13\", expect_size=\"10783744\"] \n  9 -> 10 [size =\"10783744\"]\n  10 [size=\"26316800\", alpha=\"0.00\", expect_size=\"10526720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125201920\", alpha=\"0.16\", expect_size=\"50080768\"] \n  1 -> 8 [size =\"50080768\"]\n  2 [size=\"39424000\", alpha=\"0.20\", expect_size=\"15769600\"] \n  2 -> 6 [size =\"15769600\"]\n  2 -> 9 [size =\"15769600\"]\n  3 [size=\"105256960\", alpha=\"0.09\", expect_size=\"42102784\"] \n  3 -> 5 [size =\"42102784\"]\n  3 -> 6 [size =\"42102784\"]\n  4 [size=\"51717120\", alpha=\"0.10\", expect_size=\"20686848\"] \n  4 -> 5 [size =\"20686848\"]\n  4 -> 7 [size =\"20686848\"]\n  4 -> 8 [size =\"20686848\"]\n  4 -> 9 [size =\"20686848\"]\n  5 [size=\"58549760\", alpha=\"0.02\", expect_size=\"23419904\"] \n  6 [size=\"77824000\", alpha=\"0.00\", expect_size=\"31129600\"] \n  6 -> 10 [size =\"31129600\"]\n  7 [size=\"32545280\", alpha=\"0.19\", expect_size=\"13018112\"] \n  7 -> 10 [size =\"13018112\"]\n  8 [size=\"78638080\", alpha=\"0.04\", expect_size=\"31455232\"] \n  8 -> 10 [size =\"31455232\"]\n  9 [size=\"30627840\", alpha=\"0.07\", expect_size=\"12251136\"] \n  10 [size=\"61296640\", alpha=\"0.02\", expect_size=\"24518656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122529280\", alpha=\"0.12\", expect_size=\"49011712\"] \n  1 -> 2 [size =\"49011712\"]\n  2 [size=\"101358080\", alpha=\"0.16\", expect_size=\"40543232\"] \n  2 -> 3 [size =\"40543232\"]\n  3 [size=\"34214400\", alpha=\"0.19\", expect_size=\"13685760\"] \n  3 -> 4 [size =\"13685760\"]\n  4 [size=\"112919040\", alpha=\"0.05\", expect_size=\"45167616\"] \n  4 -> 5 [size =\"45167616\"]\n  5 [size=\"77422080\", alpha=\"0.00\", expect_size=\"30968832\"] \n  5 -> 6 [size =\"30968832\"]\n  6 [size=\"50396160\", alpha=\"0.10\", expect_size=\"20158464\"] \n  6 -> 7 [size =\"20158464\"]\n  7 [size=\"108513280\", alpha=\"0.12\", expect_size=\"43405312\"] \n  7 -> 8 [size =\"43405312\"]\n  8 [size=\"86341120\", alpha=\"0.20\", expect_size=\"34536448\"] \n  8 -> 9 [size =\"34536448\"]\n  9 [size=\"37557760\", alpha=\"0.04\", expect_size=\"15023104\"] \n  9 -> 10 [size =\"15023104\"]\n  10 [size=\"89507840\", alpha=\"0.16\", expect_size=\"35803136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165089280\", alpha=\"0.18\", expect_size=\"49526784\"] \n  1 -> 2 [size =\"49526784\"]\n  2 [size=\"71280640\", alpha=\"0.14\", expect_size=\"21384192\"] \n  2 -> 3 [size =\"21384192\"]\n  3 [size=\"22295893\", alpha=\"0.16\", expect_size=\"6688768\"] \n  3 -> 4 [size =\"6688768\"]\n  4 [size=\"120657920\", alpha=\"0.07\", expect_size=\"36197376\"] \n  4 -> 5 [size =\"36197376\"]\n  5 [size=\"164423680\", alpha=\"0.19\", expect_size=\"49327104\"] \n  5 -> 6 [size =\"49327104\"]\n  6 [size=\"57552213\", alpha=\"0.08\", expect_size=\"17265664\"] \n  6 -> 7 [size =\"17265664\"]\n  7 [size=\"170014720\", alpha=\"0.06\", expect_size=\"51004416\"] \n  7 -> 8 [size =\"51004416\"]\n  8 [size=\"95112533\", alpha=\"0.16\", expect_size=\"28533760\"] \n  8 -> 9 [size =\"28533760\"]\n  9 [size=\"51165867\", alpha=\"0.09\", expect_size=\"15349760\"] \n  9 -> 10 [size =\"15349760\"]\n  10 [size=\"154207573\", alpha=\"0.13\", expect_size=\"46262272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101292032\", alpha=\"0.05\", expect_size=\"50646016\"] \n  1 -> 2 [size =\"50646016\"]\n  2 [size=\"53104640\", alpha=\"0.03\", expect_size=\"26552320\"] \n  2 -> 3 [size =\"26552320\"]\n  3 [size=\"95549440\", alpha=\"0.04\", expect_size=\"47774720\"] \n  3 -> 4 [size =\"47774720\"]\n  4 [size=\"103831552\", alpha=\"0.10\", expect_size=\"51915776\"] \n  4 -> 5 [size =\"51915776\"]\n  5 [size=\"43675648\", alpha=\"0.18\", expect_size=\"21837824\"] \n  5 -> 6 [size =\"21837824\"]\n  6 [size=\"79198208\", alpha=\"0.16\", expect_size=\"39599104\"] \n  6 -> 7 [size =\"39599104\"]\n  7 [size=\"26820608\", alpha=\"0.12\", expect_size=\"13410304\"] \n  7 -> 8 [size =\"13410304\"]\n  8 [size=\"49924096\", alpha=\"0.03\", expect_size=\"24962048\"] \n  8 -> 9 [size =\"24962048\"]\n  9 [size=\"37275648\", alpha=\"0.05\", expect_size=\"18637824\"] \n  9 -> 10 [size =\"18637824\"]\n  10 [size=\"73455616\", alpha=\"0.02\", expect_size=\"36727808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54862507\", alpha=\"0.14\", expect_size=\"16458752\"] \n  1 -> 2 [size =\"16458752\"]\n  2 [size=\"51558400\", alpha=\"0.07\", expect_size=\"15467520\"] \n  2 -> 3 [size =\"15467520\"]\n  3 [size=\"166819840\", alpha=\"0.10\", expect_size=\"50045952\"] \n  3 -> 4 [size =\"50045952\"]\n  4 [size=\"134553600\", alpha=\"0.18\", expect_size=\"40366080\"] \n  4 -> 5 [size =\"40366080\"]\n  5 [size=\"144459093\", alpha=\"0.02\", expect_size=\"43337728\"] \n  5 -> 6 [size =\"43337728\"]\n  6 [size=\"54521173\", alpha=\"0.08\", expect_size=\"16356352\"] \n  6 -> 7 [size =\"16356352\"]\n  7 [size=\"59852800\", alpha=\"0.08\", expect_size=\"17955840\"] \n  7 -> 8 [size =\"17955840\"]\n  8 [size=\"110472533\", alpha=\"0.19\", expect_size=\"33141760\"] \n  8 -> 9 [size =\"33141760\"]\n  9 [size=\"67993600\", alpha=\"0.09\", expect_size=\"20398080\"] \n  9 -> 10 [size =\"20398080\"]\n  10 [size=\"150787413\", alpha=\"0.02\", expect_size=\"45236224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114851840\", alpha=\"0.09\", expect_size=\"34455552\"] \n  1 -> 10 [size =\"34455552\"]\n  2 [size=\"39796053\", alpha=\"0.08\", expect_size=\"11938816\"] \n  3 [size=\"88040107\", alpha=\"0.18\", expect_size=\"26412032\"] \n  4 [size=\"163430400\", alpha=\"0.10\", expect_size=\"49029120\"] \n  5 [size=\"25535147\", alpha=\"0.14\", expect_size=\"7660544\"] \n  6 [size=\"142725120\", alpha=\"0.11\", expect_size=\"42817536\"] \n  7 [size=\"168495787\", alpha=\"0.12\", expect_size=\"50548736\"] \n  7 -> 10 [size =\"50548736\"]\n  8 [size=\"101314560\", alpha=\"0.04\", expect_size=\"30394368\"] \n  9 [size=\"63832747\", alpha=\"0.10\", expect_size=\"19149824\"] \n  9 -> 10 [size =\"19149824\"]\n  10 [size=\"50691413\", alpha=\"0.10\", expect_size=\"15207424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92330667\", alpha=\"0.00\", expect_size=\"27699200\"] \n  1 -> 2 [size =\"27699200\"]\n  2 [size=\"25101653\", alpha=\"0.11\", expect_size=\"7530496\"] \n  2 -> 3 [size =\"7530496\"]\n  3 [size=\"136407040\", alpha=\"0.11\", expect_size=\"40922112\"] \n  3 -> 4 [size =\"40922112\"]\n  4 [size=\"65006933\", alpha=\"0.01\", expect_size=\"19502080\"] \n  4 -> 5 [size =\"19502080\"]\n  5 [size=\"134502400\", alpha=\"0.17\", expect_size=\"40350720\"] \n  5 -> 6 [size =\"40350720\"]\n  6 [size=\"122883413\", alpha=\"0.13\", expect_size=\"36865024\"] \n  6 -> 7 [size =\"36865024\"]\n  7 [size=\"70580907\", alpha=\"0.06\", expect_size=\"21174272\"] \n  7 -> 8 [size =\"21174272\"]\n  8 [size=\"63771307\", alpha=\"0.09\", expect_size=\"19131392\"] \n  8 -> 9 [size =\"19131392\"]\n  9 [size=\"142475947\", alpha=\"0.10\", expect_size=\"42742784\"] \n  9 -> 10 [size =\"42742784\"]\n  10 [size=\"157972480\", alpha=\"0.09\", expect_size=\"47391744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121859413\", alpha=\"0.07\", expect_size=\"36557824\"] \n  1 -> 4 [size =\"36557824\"]\n  1 -> 5 [size =\"36557824\"]\n  2 [size=\"107895467\", alpha=\"0.12\", expect_size=\"32368640\"] \n  2 -> 3 [size =\"32368640\"]\n  2 -> 4 [size =\"32368640\"]\n  2 -> 5 [size =\"32368640\"]\n  3 [size=\"17554773\", alpha=\"0.17\", expect_size=\"5266432\"] \n  3 -> 6 [size =\"5266432\"]\n  3 -> 7 [size =\"5266432\"]\n  3 -> 8 [size =\"5266432\"]\n  4 [size=\"121146027\", alpha=\"0.09\", expect_size=\"36343808\"] \n  4 -> 6 [size =\"36343808\"]\n  4 -> 8 [size =\"36343808\"]\n  5 [size=\"37645653\", alpha=\"0.09\", expect_size=\"11293696\"] \n  5 -> 6 [size =\"11293696\"]\n  6 [size=\"39014400\", alpha=\"0.04\", expect_size=\"11704320\"] \n  7 [size=\"43175253\", alpha=\"0.17\", expect_size=\"12952576\"] \n  7 -> 9 [size =\"12952576\"]\n  7 -> 10 [size =\"12952576\"]\n  8 [size=\"40400213\", alpha=\"0.02\", expect_size=\"12120064\"] \n  8 -> 9 [size =\"12120064\"]\n  9 [size=\"24323413\", alpha=\"0.11\", expect_size=\"7297024\"] \n  10 [size=\"52333227\", alpha=\"0.06\", expect_size=\"15699968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105356800\", alpha=\"0.09\", expect_size=\"42142720\"] \n  1 -> 5 [size =\"42142720\"]\n  1 -> 6 [size =\"42142720\"]\n  2 [size=\"18275840\", alpha=\"0.03\", expect_size=\"7310336\"] \n  2 -> 5 [size =\"7310336\"]\n  3 [size=\"46522880\", alpha=\"0.17\", expect_size=\"18609152\"] \n  3 -> 7 [size =\"18609152\"]\n  4 [size=\"27991040\", alpha=\"0.18\", expect_size=\"11196416\"] \n  4 -> 5 [size =\"11196416\"]\n  4 -> 7 [size =\"11196416\"]\n  5 [size=\"57989120\", alpha=\"0.15\", expect_size=\"23195648\"] \n  6 [size=\"112563200\", alpha=\"0.17\", expect_size=\"45025280\"] \n  6 -> 9 [size =\"45025280\"]\n  6 -> 10 [size =\"45025280\"]\n  7 [size=\"105909760\", alpha=\"0.07\", expect_size=\"42363904\"] \n  7 -> 8 [size =\"42363904\"]\n  8 [size=\"45662720\", alpha=\"0.03\", expect_size=\"18265088\"] \n  9 [size=\"125486080\", alpha=\"0.01\", expect_size=\"50194432\"] \n  10 [size=\"101591040\", alpha=\"0.15\", expect_size=\"40636416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101870933\", alpha=\"0.09\", expect_size=\"30561280\"] \n  1 -> 2 [size =\"30561280\"]\n  2 [size=\"153419093\", alpha=\"0.16\", expect_size=\"46025728\"] \n  2 -> 3 [size =\"46025728\"]\n  3 [size=\"151586133\", alpha=\"0.05\", expect_size=\"45475840\"] \n  3 -> 4 [size =\"45475840\"]\n  4 [size=\"61859840\", alpha=\"0.18\", expect_size=\"18557952\"] \n  4 -> 5 [size =\"18557952\"]\n  5 [size=\"170417493\", alpha=\"0.15\", expect_size=\"51125248\"] \n  5 -> 6 [size =\"51125248\"]\n  6 [size=\"26982400\", alpha=\"0.17\", expect_size=\"8094720\"] \n  6 -> 7 [size =\"8094720\"]\n  7 [size=\"82077013\", alpha=\"0.20\", expect_size=\"24623104\"] \n  7 -> 8 [size =\"24623104\"]\n  8 [size=\"99522560\", alpha=\"0.20\", expect_size=\"29856768\"] \n  8 -> 9 [size =\"29856768\"]\n  9 [size=\"87818240\", alpha=\"0.17\", expect_size=\"26345472\"] \n  9 -> 10 [size =\"26345472\"]\n  10 [size=\"130259627\", alpha=\"0.02\", expect_size=\"39077888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27204267\", alpha=\"0.05\", expect_size=\"8161280\"] \n  1 -> 2 [size =\"8161280\"]\n  2 [size=\"92221440\", alpha=\"0.05\", expect_size=\"27666432\"] \n  2 -> 3 [size =\"27666432\"]\n  3 [size=\"52773547\", alpha=\"0.03\", expect_size=\"15832064\"] \n  3 -> 4 [size =\"15832064\"]\n  4 [size=\"114329600\", alpha=\"0.10\", expect_size=\"34298880\"] \n  4 -> 5 [size =\"34298880\"]\n  5 [size=\"78742187\", alpha=\"0.14\", expect_size=\"23622656\"] \n  5 -> 6 [size =\"23622656\"]\n  6 [size=\"22575787\", alpha=\"0.15\", expect_size=\"6772736\"] \n  6 -> 7 [size =\"6772736\"]\n  7 [size=\"113623040\", alpha=\"0.15\", expect_size=\"34086912\"] \n  7 -> 8 [size =\"34086912\"]\n  8 [size=\"165543253\", alpha=\"0.07\", expect_size=\"49662976\"] \n  8 -> 9 [size =\"49662976\"]\n  9 [size=\"19060053\", alpha=\"0.03\", expect_size=\"5718016\"] \n  9 -> 10 [size =\"5718016\"]\n  10 [size=\"18322773\", alpha=\"0.01\", expect_size=\"5496832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36915200\", alpha=\"0.03\", expect_size=\"14766080\"] \n  1 -> 6 [size =\"14766080\"]\n  1 -> 7 [size =\"14766080\"]\n  1 -> 10 [size =\"14766080\"]\n  2 [size=\"104563200\", alpha=\"0.09\", expect_size=\"41825280\"] \n  2 -> 6 [size =\"41825280\"]\n  2 -> 8 [size =\"41825280\"]\n  2 -> 10 [size =\"41825280\"]\n  3 [size=\"70307840\", alpha=\"0.12\", expect_size=\"28123136\"] \n  3 -> 7 [size =\"28123136\"]\n  3 -> 8 [size =\"28123136\"]\n  3 -> 10 [size =\"28123136\"]\n  4 [size=\"111692800\", alpha=\"0.02\", expect_size=\"44677120\"] \n  4 -> 7 [size =\"44677120\"]\n  5 [size=\"53724160\", alpha=\"0.12\", expect_size=\"21489664\"] \n  5 -> 6 [size =\"21489664\"]\n  5 -> 9 [size =\"21489664\"]\n  6 [size=\"55521280\", alpha=\"0.19\", expect_size=\"22208512\"] \n  7 [size=\"107522560\", alpha=\"0.16\", expect_size=\"43009024\"] \n  8 [size=\"85409280\", alpha=\"0.10\", expect_size=\"34163712\"] \n  9 [size=\"125877760\", alpha=\"0.16\", expect_size=\"50351104\"] \n  10 [size=\"129428480\", alpha=\"0.17\", expect_size=\"51771392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43094016\", alpha=\"0.04\", expect_size=\"21547008\"] \n  1 -> 6 [size =\"21547008\"]\n  1 -> 8 [size =\"21547008\"]\n  2 [size=\"51550208\", alpha=\"0.12\", expect_size=\"25775104\"] \n  2 -> 6 [size =\"25775104\"]\n  3 [size=\"101498880\", alpha=\"0.13\", expect_size=\"50749440\"] \n  3 -> 5 [size =\"50749440\"]\n  3 -> 7 [size =\"50749440\"]\n  3 -> 8 [size =\"50749440\"]\n  4 [size=\"42678272\", alpha=\"0.06\", expect_size=\"21339136\"] \n  4 -> 5 [size =\"21339136\"]\n  4 -> 6 [size =\"21339136\"]\n  4 -> 8 [size =\"21339136\"]\n  4 -> 9 [size =\"21339136\"]\n  5 [size=\"16420864\", alpha=\"0.17\", expect_size=\"8210432\"] \n  6 [size=\"94994432\", alpha=\"0.09\", expect_size=\"47497216\"] \n  7 [size=\"79249408\", alpha=\"0.07\", expect_size=\"39624704\"] \n  7 -> 10 [size =\"39624704\"]\n  8 [size=\"69226496\", alpha=\"0.07\", expect_size=\"34613248\"] \n  8 -> 10 [size =\"34613248\"]\n  9 [size=\"13137920\", alpha=\"0.02\", expect_size=\"6568960\"] \n  9 -> 10 [size =\"6568960\"]\n  10 [size=\"75759616\", alpha=\"0.12\", expect_size=\"37879808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94109013\", alpha=\"0.03\", expect_size=\"28232704\"] \n  1 -> 8 [size =\"28232704\"]\n  1 -> 9 [size =\"28232704\"]\n  2 [size=\"121125547\", alpha=\"0.04\", expect_size=\"36337664\"] \n  3 [size=\"38860800\", alpha=\"0.09\", expect_size=\"11658240\"] \n  3 -> 8 [size =\"11658240\"]\n  4 [size=\"119156053\", alpha=\"0.16\", expect_size=\"35746816\"] \n  4 -> 9 [size =\"35746816\"]\n  5 [size=\"172479147\", alpha=\"0.08\", expect_size=\"51743744\"] \n  5 -> 6 [size =\"51743744\"]\n  5 -> 7 [size =\"51743744\"]\n  5 -> 8 [size =\"51743744\"]\n  6 [size=\"141110613\", alpha=\"0.11\", expect_size=\"42333184\"] \n  6 -> 10 [size =\"42333184\"]\n  7 [size=\"71287467\", alpha=\"0.12\", expect_size=\"21386240\"] \n  7 -> 10 [size =\"21386240\"]\n  8 [size=\"109912747\", alpha=\"0.05\", expect_size=\"32973824\"] \n  8 -> 10 [size =\"32973824\"]\n  9 [size=\"163177813\", alpha=\"0.04\", expect_size=\"48953344\"] \n  10 [size=\"164113067\", alpha=\"0.11\", expect_size=\"49233920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98082133\", alpha=\"0.15\", expect_size=\"29424640\"] \n  1 -> 9 [size =\"29424640\"]\n  2 [size=\"110902613\", alpha=\"0.14\", expect_size=\"33270784\"] \n  2 -> 10 [size =\"33270784\"]\n  3 [size=\"144940373\", alpha=\"0.03\", expect_size=\"43482112\"] \n  4 [size=\"64375467\", alpha=\"0.08\", expect_size=\"19312640\"] \n  5 [size=\"140663467\", alpha=\"0.13\", expect_size=\"42199040\"] \n  5 -> 9 [size =\"42199040\"]\n  5 -> 10 [size =\"42199040\"]\n  6 [size=\"164092587\", alpha=\"0.18\", expect_size=\"49227776\"] \n  6 -> 9 [size =\"49227776\"]\n  7 [size=\"51886080\", alpha=\"0.10\", expect_size=\"15565824\"] \n  7 -> 10 [size =\"15565824\"]\n  8 [size=\"67877547\", alpha=\"0.17\", expect_size=\"20363264\"] \n  9 [size=\"47544320\", alpha=\"0.17\", expect_size=\"14263296\"] \n  10 [size=\"149678080\", alpha=\"0.11\", expect_size=\"44903424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40314880\", alpha=\"0.15\", expect_size=\"12094464\"] \n  1 -> 2 [size =\"12094464\"]\n  2 [size=\"171567787\", alpha=\"0.16\", expect_size=\"51470336\"] \n  2 -> 3 [size =\"51470336\"]\n  3 [size=\"100051627\", alpha=\"0.01\", expect_size=\"30015488\"] \n  3 -> 4 [size =\"30015488\"]\n  4 [size=\"130116267\", alpha=\"0.01\", expect_size=\"39034880\"] \n  4 -> 5 [size =\"39034880\"]\n  5 [size=\"158508373\", alpha=\"0.20\", expect_size=\"47552512\"] \n  5 -> 6 [size =\"47552512\"]\n  6 [size=\"143452160\", alpha=\"0.14\", expect_size=\"43035648\"] \n  6 -> 7 [size =\"43035648\"]\n  7 [size=\"97344853\", alpha=\"0.18\", expect_size=\"29203456\"] \n  7 -> 8 [size =\"29203456\"]\n  8 [size=\"161621333\", alpha=\"0.20\", expect_size=\"48486400\"] \n  8 -> 9 [size =\"48486400\"]\n  9 [size=\"45786453\", alpha=\"0.10\", expect_size=\"13735936\"] \n  9 -> 10 [size =\"13735936\"]\n  10 [size=\"61224960\", alpha=\"0.09\", expect_size=\"18367488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99571712\", alpha=\"0.06\", expect_size=\"49785856\"] \n  1 -> 2 [size =\"49785856\"]\n  2 [size=\"66701312\", alpha=\"0.16\", expect_size=\"33350656\"] \n  2 -> 3 [size =\"33350656\"]\n  3 [size=\"16723968\", alpha=\"0.20\", expect_size=\"8361984\"] \n  3 -> 4 [size =\"8361984\"]\n  4 [size=\"46252032\", alpha=\"0.04\", expect_size=\"23126016\"] \n  4 -> 5 [size =\"23126016\"]\n  5 [size=\"59146240\", alpha=\"0.16\", expect_size=\"29573120\"] \n  5 -> 6 [size =\"29573120\"]\n  6 [size=\"27580416\", alpha=\"0.11\", expect_size=\"13790208\"] \n  6 -> 7 [size =\"13790208\"]\n  7 [size=\"77168640\", alpha=\"0.12\", expect_size=\"38584320\"] \n  7 -> 8 [size =\"38584320\"]\n  8 [size=\"95844352\", alpha=\"0.07\", expect_size=\"47922176\"] \n  8 -> 9 [size =\"47922176\"]\n  9 [size=\"70838272\", alpha=\"0.08\", expect_size=\"35419136\"] \n  9 -> 10 [size =\"35419136\"]\n  10 [size=\"33019904\", alpha=\"0.10\", expect_size=\"16509952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131181227\", alpha=\"0.19\", expect_size=\"39354368\"] \n  1 -> 8 [size =\"39354368\"]\n  1 -> 9 [size =\"39354368\"]\n  2 [size=\"171154773\", alpha=\"0.08\", expect_size=\"51346432\"] \n  2 -> 9 [size =\"51346432\"]\n  3 [size=\"101167787\", alpha=\"0.03\", expect_size=\"30350336\"] \n  4 [size=\"166184960\", alpha=\"0.02\", expect_size=\"49855488\"] \n  4 -> 8 [size =\"49855488\"]\n  4 -> 10 [size =\"49855488\"]\n  5 [size=\"56681813\", alpha=\"0.08\", expect_size=\"17004544\"] \n  5 -> 10 [size =\"17004544\"]\n  6 [size=\"173008213\", alpha=\"0.11\", expect_size=\"51902464\"] \n  6 -> 10 [size =\"51902464\"]\n  7 [size=\"97348267\", alpha=\"0.06\", expect_size=\"29204480\"] \n  7 -> 8 [size =\"29204480\"]\n  7 -> 9 [size =\"29204480\"]\n  8 [size=\"144015360\", alpha=\"0.05\", expect_size=\"43204608\"] \n  9 [size=\"100816213\", alpha=\"0.04\", expect_size=\"30244864\"] \n  10 [size=\"32508587\", alpha=\"0.17\", expect_size=\"9752576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25139200\", alpha=\"0.08\", expect_size=\"7541760\"] \n  1 -> 5 [size =\"7541760\"]\n  1 -> 6 [size =\"7541760\"]\n  2 [size=\"25006080\", alpha=\"0.13\", expect_size=\"7501824\"] \n  3 [size=\"145537707\", alpha=\"0.15\", expect_size=\"43661312\"] \n  3 -> 6 [size =\"43661312\"]\n  3 -> 7 [size =\"43661312\"]\n  4 [size=\"73779200\", alpha=\"0.15\", expect_size=\"22133760\"] \n  5 [size=\"43243520\", alpha=\"0.00\", expect_size=\"12973056\"] \n  5 -> 9 [size =\"12973056\"]\n  5 -> 10 [size =\"12973056\"]\n  6 [size=\"148602880\", alpha=\"0.13\", expect_size=\"44580864\"] \n  7 [size=\"61282987\", alpha=\"0.01\", expect_size=\"18384896\"] \n  7 -> 8 [size =\"18384896\"]\n  7 -> 9 [size =\"18384896\"]\n  8 [size=\"163399680\", alpha=\"0.09\", expect_size=\"49019904\"] \n  9 [size=\"95245653\", alpha=\"0.15\", expect_size=\"28573696\"] \n  10 [size=\"153600000\", alpha=\"0.17\", expect_size=\"46080000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51990528\", alpha=\"0.14\", expect_size=\"25995264\"] \n  1 -> 7 [size =\"25995264\"]\n  1 -> 10 [size =\"25995264\"]\n  2 [size=\"92391424\", alpha=\"0.01\", expect_size=\"46195712\"] \n  3 [size=\"35313664\", alpha=\"0.14\", expect_size=\"17656832\"] \n  3 -> 9 [size =\"17656832\"]\n  3 -> 10 [size =\"17656832\"]\n  4 [size=\"67467264\", alpha=\"0.06\", expect_size=\"33733632\"] \n  4 -> 7 [size =\"33733632\"]\n  4 -> 8 [size =\"33733632\"]\n  4 -> 9 [size =\"33733632\"]\n  5 [size=\"32045056\", alpha=\"0.13\", expect_size=\"16022528\"] \n  5 -> 7 [size =\"16022528\"]\n  5 -> 8 [size =\"16022528\"]\n  6 [size=\"63430656\", alpha=\"0.14\", expect_size=\"31715328\"] \n  6 -> 10 [size =\"31715328\"]\n  7 [size=\"40224768\", alpha=\"0.13\", expect_size=\"20112384\"] \n  8 [size=\"39745536\", alpha=\"0.14\", expect_size=\"19872768\"] \n  9 [size=\"47636480\", alpha=\"0.02\", expect_size=\"23818240\"] \n  10 [size=\"46344192\", alpha=\"0.03\", expect_size=\"23172096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40299520\", alpha=\"0.19\", expect_size=\"16119808\"] \n  1 -> 2 [size =\"16119808\"]\n  2 [size=\"60899840\", alpha=\"0.00\", expect_size=\"24359936\"] \n  2 -> 3 [size =\"24359936\"]\n  3 [size=\"71060480\", alpha=\"0.02\", expect_size=\"28424192\"] \n  3 -> 4 [size =\"28424192\"]\n  4 [size=\"16281600\", alpha=\"0.00\", expect_size=\"6512640\"] \n  4 -> 5 [size =\"6512640\"]\n  5 [size=\"17633280\", alpha=\"0.07\", expect_size=\"7053312\"] \n  5 -> 6 [size =\"7053312\"]\n  6 [size=\"90780160\", alpha=\"0.16\", expect_size=\"36312064\"] \n  6 -> 7 [size =\"36312064\"]\n  7 [size=\"45629440\", alpha=\"0.07\", expect_size=\"18251776\"] \n  7 -> 8 [size =\"18251776\"]\n  8 [size=\"19804160\", alpha=\"0.18\", expect_size=\"7921664\"] \n  8 -> 9 [size =\"7921664\"]\n  9 [size=\"117831680\", alpha=\"0.14\", expect_size=\"47132672\"] \n  9 -> 10 [size =\"47132672\"]\n  10 [size=\"117168640\", alpha=\"0.11\", expect_size=\"46867456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40270507\", alpha=\"0.09\", expect_size=\"12081152\"] \n  1 -> 9 [size =\"12081152\"]\n  2 [size=\"134621867\", alpha=\"0.05\", expect_size=\"40386560\"] \n  2 -> 10 [size =\"40386560\"]\n  3 [size=\"92600320\", alpha=\"0.15\", expect_size=\"27780096\"] \n  3 -> 8 [size =\"27780096\"]\n  4 [size=\"134307840\", alpha=\"0.10\", expect_size=\"40292352\"] \n  4 -> 9 [size =\"40292352\"]\n  5 [size=\"46571520\", alpha=\"0.07\", expect_size=\"13971456\"] \n  5 -> 7 [size =\"13971456\"]\n  5 -> 8 [size =\"13971456\"]\n  6 [size=\"34266453\", alpha=\"0.07\", expect_size=\"10279936\"] \n  6 -> 8 [size =\"10279936\"]\n  7 [size=\"110520320\", alpha=\"0.09\", expect_size=\"33156096\"] \n  8 [size=\"61460480\", alpha=\"0.02\", expect_size=\"18438144\"] \n  9 [size=\"130048000\", alpha=\"0.19\", expect_size=\"39014400\"] \n  10 [size=\"114346667\", alpha=\"0.09\", expect_size=\"34304000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57958400\", alpha=\"0.16\", expect_size=\"17387520\"] \n  1 -> 8 [size =\"17387520\"]\n  1 -> 9 [size =\"17387520\"]\n  2 [size=\"126750720\", alpha=\"0.17\", expect_size=\"38025216\"] \n  3 [size=\"111561387\", alpha=\"0.15\", expect_size=\"33468416\"] \n  3 -> 8 [size =\"33468416\"]\n  4 [size=\"108332373\", alpha=\"0.02\", expect_size=\"32499712\"] \n  4 -> 7 [size =\"32499712\"]\n  4 -> 8 [size =\"32499712\"]\n  4 -> 9 [size =\"32499712\"]\n  5 [size=\"124579840\", alpha=\"0.05\", expect_size=\"37373952\"] \n  5 -> 8 [size =\"37373952\"]\n  5 -> 9 [size =\"37373952\"]\n  5 -> 10 [size =\"37373952\"]\n  6 [size=\"119709013\", alpha=\"0.04\", expect_size=\"35912704\"] \n  6 -> 10 [size =\"35912704\"]\n  7 [size=\"135939413\", alpha=\"0.17\", expect_size=\"40781824\"] \n  8 [size=\"23978667\", alpha=\"0.02\", expect_size=\"7193600\"] \n  9 [size=\"120920747\", alpha=\"0.03\", expect_size=\"36276224\"] \n  10 [size=\"138499413\", alpha=\"0.08\", expect_size=\"41549824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34652160\", alpha=\"0.03\", expect_size=\"13860864\"] \n  1 -> 4 [size =\"13860864\"]\n  1 -> 5 [size =\"13860864\"]\n  2 [size=\"122030080\", alpha=\"0.13\", expect_size=\"48812032\"] \n  2 -> 4 [size =\"48812032\"]\n  3 [size=\"105338880\", alpha=\"0.17\", expect_size=\"42135552\"] \n  4 [size=\"96775680\", alpha=\"0.15\", expect_size=\"38710272\"] \n  4 -> 6 [size =\"38710272\"]\n  4 -> 8 [size =\"38710272\"]\n  5 [size=\"21726720\", alpha=\"0.15\", expect_size=\"8690688\"] \n  5 -> 7 [size =\"8690688\"]\n  6 [size=\"70735360\", alpha=\"0.06\", expect_size=\"28294144\"] \n  7 [size=\"41879040\", alpha=\"0.04\", expect_size=\"16751616\"] \n  7 -> 9 [size =\"16751616\"]\n  7 -> 10 [size =\"16751616\"]\n  8 [size=\"15528960\", alpha=\"0.09\", expect_size=\"6211584\"] \n  9 [size=\"50168320\", alpha=\"0.10\", expect_size=\"20067328\"] \n  10 [size=\"41623040\", alpha=\"0.07\", expect_size=\"16649216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157794987\", alpha=\"0.11\", expect_size=\"47338496\"] \n  1 -> 4 [size =\"47338496\"]\n  2 [size=\"77666987\", alpha=\"0.06\", expect_size=\"23300096\"] \n  2 -> 5 [size =\"23300096\"]\n  3 [size=\"69911893\", alpha=\"0.14\", expect_size=\"20973568\"] \n  3 -> 5 [size =\"20973568\"]\n  4 [size=\"45397333\", alpha=\"0.13\", expect_size=\"13619200\"] \n  4 -> 6 [size =\"13619200\"]\n  4 -> 7 [size =\"13619200\"]\n  4 -> 9 [size =\"13619200\"]\n  5 [size=\"46441813\", alpha=\"0.04\", expect_size=\"13932544\"] \n  5 -> 6 [size =\"13932544\"]\n  5 -> 8 [size =\"13932544\"]\n  5 -> 10 [size =\"13932544\"]\n  6 [size=\"42407253\", alpha=\"0.01\", expect_size=\"12722176\"] \n  7 [size=\"164870827\", alpha=\"0.00\", expect_size=\"49461248\"] \n  8 [size=\"126402560\", alpha=\"0.10\", expect_size=\"37920768\"] \n  9 [size=\"72843947\", alpha=\"0.10\", expect_size=\"21853184\"] \n  10 [size=\"138806613\", alpha=\"0.12\", expect_size=\"41641984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162249387\", alpha=\"0.12\", expect_size=\"48674816\"] \n  1 -> 5 [size =\"48674816\"]\n  1 -> 6 [size =\"48674816\"]\n  2 [size=\"34068480\", alpha=\"0.10\", expect_size=\"10220544\"] \n  2 -> 5 [size =\"10220544\"]\n  3 [size=\"146793813\", alpha=\"0.09\", expect_size=\"44038144\"] \n  4 [size=\"162061653\", alpha=\"0.02\", expect_size=\"48618496\"] \n  4 -> 5 [size =\"48618496\"]\n  5 [size=\"143769600\", alpha=\"0.01\", expect_size=\"43130880\"] \n  5 -> 7 [size =\"43130880\"]\n  5 -> 8 [size =\"43130880\"]\n  5 -> 9 [size =\"43130880\"]\n  6 [size=\"118138880\", alpha=\"0.01\", expect_size=\"35441664\"] \n  6 -> 9 [size =\"35441664\"]\n  7 [size=\"26914133\", alpha=\"0.03\", expect_size=\"8074240\"] \n  8 [size=\"165860693\", alpha=\"0.15\", expect_size=\"49758208\"] \n  8 -> 10 [size =\"49758208\"]\n  9 [size=\"47486293\", alpha=\"0.20\", expect_size=\"14245888\"] \n  9 -> 10 [size =\"14245888\"]\n  10 [size=\"25770667\", alpha=\"0.11\", expect_size=\"7731200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53729280\", alpha=\"0.16\", expect_size=\"21491712\"] \n  1 -> 2 [size =\"21491712\"]\n  2 [size=\"16291840\", alpha=\"0.10\", expect_size=\"6516736\"] \n  2 -> 3 [size =\"6516736\"]\n  3 [size=\"92321280\", alpha=\"0.09\", expect_size=\"36928512\"] \n  3 -> 4 [size =\"36928512\"]\n  4 [size=\"127590400\", alpha=\"0.03\", expect_size=\"51036160\"] \n  4 -> 5 [size =\"51036160\"]\n  5 [size=\"128030720\", alpha=\"0.12\", expect_size=\"51212288\"] \n  5 -> 6 [size =\"51212288\"]\n  6 [size=\"61800960\", alpha=\"0.03\", expect_size=\"24720384\"] \n  6 -> 7 [size =\"24720384\"]\n  7 [size=\"59020800\", alpha=\"0.05\", expect_size=\"23608320\"] \n  7 -> 8 [size =\"23608320\"]\n  8 [size=\"127649280\", alpha=\"0.18\", expect_size=\"51059712\"] \n  8 -> 9 [size =\"51059712\"]\n  9 [size=\"88990720\", alpha=\"0.07\", expect_size=\"35596288\"] \n  9 -> 10 [size =\"35596288\"]\n  10 [size=\"127495680\", alpha=\"0.18\", expect_size=\"50998272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90982400\", alpha=\"0.02\", expect_size=\"27294720\"] \n  1 -> 2 [size =\"27294720\"]\n  2 [size=\"49633280\", alpha=\"0.15\", expect_size=\"14889984\"] \n  2 -> 3 [size =\"14889984\"]\n  3 [size=\"85978453\", alpha=\"0.08\", expect_size=\"25793536\"] \n  3 -> 4 [size =\"25793536\"]\n  4 [size=\"129160533\", alpha=\"0.16\", expect_size=\"38748160\"] \n  4 -> 5 [size =\"38748160\"]\n  5 [size=\"85121707\", alpha=\"0.06\", expect_size=\"25536512\"] \n  5 -> 6 [size =\"25536512\"]\n  6 [size=\"119756800\", alpha=\"0.19\", expect_size=\"35927040\"] \n  6 -> 7 [size =\"35927040\"]\n  7 [size=\"159696213\", alpha=\"0.17\", expect_size=\"47908864\"] \n  7 -> 8 [size =\"47908864\"]\n  8 [size=\"146640213\", alpha=\"0.04\", expect_size=\"43992064\"] \n  8 -> 9 [size =\"43992064\"]\n  9 [size=\"48820907\", alpha=\"0.05\", expect_size=\"14646272\"] \n  9 -> 10 [size =\"14646272\"]\n  10 [size=\"21254827\", alpha=\"0.18\", expect_size=\"6376448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104143360\", alpha=\"0.13\", expect_size=\"41657344\"] \n  1 -> 9 [size =\"41657344\"]\n  1 -> 10 [size =\"41657344\"]\n  2 [size=\"58959360\", alpha=\"0.16\", expect_size=\"23583744\"] \n  2 -> 8 [size =\"23583744\"]\n  3 [size=\"88168960\", alpha=\"0.07\", expect_size=\"35267584\"] \n  3 -> 9 [size =\"35267584\"]\n  4 [size=\"33978880\", alpha=\"0.12\", expect_size=\"13591552\"] \n  4 -> 7 [size =\"13591552\"]\n  5 [size=\"80803840\", alpha=\"0.00\", expect_size=\"32321536\"] \n  5 -> 10 [size =\"32321536\"]\n  6 [size=\"103408640\", alpha=\"0.15\", expect_size=\"41363456\"] \n  6 -> 9 [size =\"41363456\"]\n  6 -> 10 [size =\"41363456\"]\n  7 [size=\"124572160\", alpha=\"0.17\", expect_size=\"49828864\"] \n  8 [size=\"97456640\", alpha=\"0.07\", expect_size=\"38982656\"] \n  9 [size=\"96995840\", alpha=\"0.01\", expect_size=\"38798336\"] \n  10 [size=\"55068160\", alpha=\"0.07\", expect_size=\"22027264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20913493\", alpha=\"0.05\", expect_size=\"6274048\"] \n  2 [size=\"76055893\", alpha=\"0.10\", expect_size=\"22816768\"] \n  2 -> 4 [size =\"22816768\"]\n  3 [size=\"155163307\", alpha=\"0.18\", expect_size=\"46548992\"] \n  3 -> 4 [size =\"46548992\"]\n  3 -> 5 [size =\"46548992\"]\n  4 [size=\"131659093\", alpha=\"0.17\", expect_size=\"39497728\"] \n  5 [size=\"157207893\", alpha=\"0.04\", expect_size=\"47162368\"] \n  5 -> 6 [size =\"47162368\"]\n  5 -> 7 [size =\"47162368\"]\n  6 [size=\"34263040\", alpha=\"0.17\", expect_size=\"10278912\"] \n  6 -> 9 [size =\"10278912\"]\n  7 [size=\"60357973\", alpha=\"0.00\", expect_size=\"18107392\"] \n  7 -> 8 [size =\"18107392\"]\n  7 -> 10 [size =\"18107392\"]\n  8 [size=\"67058347\", alpha=\"0.08\", expect_size=\"20117504\"] \n  9 [size=\"134253227\", alpha=\"0.04\", expect_size=\"40275968\"] \n  10 [size=\"57634133\", alpha=\"0.12\", expect_size=\"17290240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59072000\", alpha=\"0.10\", expect_size=\"23628800\"] \n  1 -> 4 [size =\"23628800\"]\n  2 [size=\"67630080\", alpha=\"0.03\", expect_size=\"27052032\"] \n  2 -> 4 [size =\"27052032\"]\n  2 -> 5 [size =\"27052032\"]\n  3 [size=\"59578880\", alpha=\"0.14\", expect_size=\"23831552\"] \n  3 -> 4 [size =\"23831552\"]\n  4 [size=\"51919360\", alpha=\"0.05\", expect_size=\"20767744\"] \n  4 -> 6 [size =\"20767744\"]\n  5 [size=\"101693440\", alpha=\"0.02\", expect_size=\"40677376\"] \n  5 -> 6 [size =\"40677376\"]\n  5 -> 7 [size =\"40677376\"]\n  6 [size=\"122754560\", alpha=\"0.09\", expect_size=\"49101824\"] \n  6 -> 8 [size =\"49101824\"]\n  6 -> 9 [size =\"49101824\"]\n  6 -> 10 [size =\"49101824\"]\n  7 [size=\"92963840\", alpha=\"0.20\", expect_size=\"37185536\"] \n  7 -> 8 [size =\"37185536\"]\n  7 -> 9 [size =\"37185536\"]\n  7 -> 10 [size =\"37185536\"]\n  8 [size=\"104168960\", alpha=\"0.16\", expect_size=\"41667584\"] \n  9 [size=\"63216640\", alpha=\"0.18\", expect_size=\"25286656\"] \n  10 [size=\"31183360\", alpha=\"0.08\", expect_size=\"12473344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79321088\", alpha=\"0.14\", expect_size=\"39660544\"] \n  2 [size=\"30324736\", alpha=\"0.20\", expect_size=\"15162368\"] \n  3 [size=\"42944512\", alpha=\"0.13\", expect_size=\"21472256\"] \n  3 -> 8 [size =\"21472256\"]\n  4 [size=\"56430592\", alpha=\"0.01\", expect_size=\"28215296\"] \n  4 -> 8 [size =\"28215296\"]\n  5 [size=\"28645376\", alpha=\"0.07\", expect_size=\"14322688\"] \n  5 -> 8 [size =\"14322688\"]\n  6 [size=\"101945344\", alpha=\"0.18\", expect_size=\"50972672\"] \n  7 [size=\"65130496\", alpha=\"0.09\", expect_size=\"32565248\"] \n  7 -> 9 [size =\"32565248\"]\n  8 [size=\"98981888\", alpha=\"0.10\", expect_size=\"49490944\"] \n  8 -> 10 [size =\"49490944\"]\n  9 [size=\"28102656\", alpha=\"0.15\", expect_size=\"14051328\"] \n  10 [size=\"24694784\", alpha=\"0.16\", expect_size=\"12347392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50788352\", alpha=\"0.06\", expect_size=\"25394176\"] \n  1 -> 2 [size =\"25394176\"]\n  2 [size=\"60530688\", alpha=\"0.02\", expect_size=\"30265344\"] \n  2 -> 3 [size =\"30265344\"]\n  3 [size=\"102055936\", alpha=\"0.07\", expect_size=\"51027968\"] \n  3 -> 4 [size =\"51027968\"]\n  4 [size=\"64112640\", alpha=\"0.14\", expect_size=\"32056320\"] \n  4 -> 5 [size =\"32056320\"]\n  5 [size=\"102762496\", alpha=\"0.18\", expect_size=\"51381248\"] \n  5 -> 6 [size =\"51381248\"]\n  6 [size=\"27148288\", alpha=\"0.11\", expect_size=\"13574144\"] \n  6 -> 7 [size =\"13574144\"]\n  7 [size=\"36872192\", alpha=\"0.07\", expect_size=\"18436096\"] \n  7 -> 8 [size =\"18436096\"]\n  8 [size=\"51845120\", alpha=\"0.11\", expect_size=\"25922560\"] \n  8 -> 9 [size =\"25922560\"]\n  9 [size=\"86315008\", alpha=\"0.14\", expect_size=\"43157504\"] \n  9 -> 10 [size =\"43157504\"]\n  10 [size=\"79435776\", alpha=\"0.06\", expect_size=\"39717888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66575360\", alpha=\"0.12\", expect_size=\"26630144\"] \n  1 -> 2 [size =\"26630144\"]\n  2 [size=\"29941760\", alpha=\"0.11\", expect_size=\"11976704\"] \n  2 -> 3 [size =\"11976704\"]\n  3 [size=\"53721600\", alpha=\"0.05\", expect_size=\"21488640\"] \n  3 -> 4 [size =\"21488640\"]\n  4 [size=\"119859200\", alpha=\"0.16\", expect_size=\"47943680\"] \n  4 -> 5 [size =\"47943680\"]\n  5 [size=\"119162880\", alpha=\"0.07\", expect_size=\"47665152\"] \n  5 -> 6 [size =\"47665152\"]\n  6 [size=\"31249920\", alpha=\"0.09\", expect_size=\"12499968\"] \n  6 -> 7 [size =\"12499968\"]\n  7 [size=\"70522880\", alpha=\"0.12\", expect_size=\"28209152\"] \n  7 -> 8 [size =\"28209152\"]\n  8 [size=\"115266560\", alpha=\"0.18\", expect_size=\"46106624\"] \n  8 -> 9 [size =\"46106624\"]\n  9 [size=\"57448960\", alpha=\"0.10\", expect_size=\"22979584\"] \n  9 -> 10 [size =\"22979584\"]\n  10 [size=\"16650240\", alpha=\"0.04\", expect_size=\"6660096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171618987\", alpha=\"0.18\", expect_size=\"51485696\"] \n  1 -> 2 [size =\"51485696\"]\n  2 [size=\"57637547\", alpha=\"0.09\", expect_size=\"17291264\"] \n  2 -> 3 [size =\"17291264\"]\n  3 [size=\"130416640\", alpha=\"0.13\", expect_size=\"39124992\"] \n  3 -> 4 [size =\"39124992\"]\n  4 [size=\"134017707\", alpha=\"0.18\", expect_size=\"40205312\"] \n  4 -> 5 [size =\"40205312\"]\n  5 [size=\"146309120\", alpha=\"0.17\", expect_size=\"43892736\"] \n  5 -> 6 [size =\"43892736\"]\n  6 [size=\"116469760\", alpha=\"0.18\", expect_size=\"34940928\"] \n  6 -> 7 [size =\"34940928\"]\n  7 [size=\"126286507\", alpha=\"0.07\", expect_size=\"37885952\"] \n  7 -> 8 [size =\"37885952\"]\n  8 [size=\"63324160\", alpha=\"0.06\", expect_size=\"18997248\"] \n  8 -> 9 [size =\"18997248\"]\n  9 [size=\"87633920\", alpha=\"0.17\", expect_size=\"26290176\"] \n  9 -> 10 [size =\"26290176\"]\n  10 [size=\"147664213\", alpha=\"0.13\", expect_size=\"44299264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56922112\", alpha=\"0.08\", expect_size=\"28461056\"] \n  1 -> 5 [size =\"28461056\"]\n  1 -> 6 [size =\"28461056\"]\n  2 [size=\"98004992\", alpha=\"0.10\", expect_size=\"49002496\"] \n  2 -> 3 [size =\"49002496\"]\n  2 -> 4 [size =\"49002496\"]\n  2 -> 5 [size =\"49002496\"]\n  3 [size=\"101132288\", alpha=\"0.07\", expect_size=\"50566144\"] \n  3 -> 7 [size =\"50566144\"]\n  4 [size=\"55476224\", alpha=\"0.02\", expect_size=\"27738112\"] \n  5 [size=\"56690688\", alpha=\"0.01\", expect_size=\"28345344\"] \n  5 -> 7 [size =\"28345344\"]\n  6 [size=\"103632896\", alpha=\"0.15\", expect_size=\"51816448\"] \n  7 [size=\"52512768\", alpha=\"0.02\", expect_size=\"26256384\"] \n  7 -> 8 [size =\"26256384\"]\n  7 -> 9 [size =\"26256384\"]\n  8 [size=\"28323840\", alpha=\"0.08\", expect_size=\"14161920\"] \n  8 -> 10 [size =\"14161920\"]\n  9 [size=\"38639616\", alpha=\"0.14\", expect_size=\"19319808\"] \n  9 -> 10 [size =\"19319808\"]\n  10 [size=\"25649152\", alpha=\"0.20\", expect_size=\"12824576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67592192\", alpha=\"0.07\", expect_size=\"33796096\"] \n  1 -> 5 [size =\"33796096\"]\n  2 [size=\"11517952\", alpha=\"0.04\", expect_size=\"5758976\"] \n  2 -> 4 [size =\"5758976\"]\n  3 [size=\"12144640\", alpha=\"0.00\", expect_size=\"6072320\"] \n  4 [size=\"54099968\", alpha=\"0.16\", expect_size=\"27049984\"] \n  4 -> 6 [size =\"27049984\"]\n  4 -> 7 [size =\"27049984\"]\n  5 [size=\"52412416\", alpha=\"0.18\", expect_size=\"26206208\"] \n  6 [size=\"47118336\", alpha=\"0.03\", expect_size=\"23559168\"] \n  6 -> 8 [size =\"23559168\"]\n  6 -> 9 [size =\"23559168\"]\n  6 -> 10 [size =\"23559168\"]\n  7 [size=\"69965824\", alpha=\"0.15\", expect_size=\"34982912\"] \n  7 -> 9 [size =\"34982912\"]\n  8 [size=\"62062592\", alpha=\"0.03\", expect_size=\"31031296\"] \n  9 [size=\"63502336\", alpha=\"0.17\", expect_size=\"31751168\"] \n  10 [size=\"19425280\", alpha=\"0.19\", expect_size=\"9712640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80660480\", alpha=\"0.07\", expect_size=\"32264192\"] \n  2 [size=\"77373440\", alpha=\"0.13\", expect_size=\"30949376\"] \n  2 -> 8 [size =\"30949376\"]\n  3 [size=\"114887680\", alpha=\"0.02\", expect_size=\"45955072\"] \n  3 -> 8 [size =\"45955072\"]\n  4 [size=\"108177920\", alpha=\"0.19\", expect_size=\"43271168\"] \n  4 -> 7 [size =\"43271168\"]\n  4 -> 8 [size =\"43271168\"]\n  5 [size=\"38131200\", alpha=\"0.01\", expect_size=\"15252480\"] \n  6 [size=\"106675200\", alpha=\"0.15\", expect_size=\"42670080\"] \n  7 [size=\"41021440\", alpha=\"0.08\", expect_size=\"16408576\"] \n  7 -> 9 [size =\"16408576\"]\n  8 [size=\"95833600\", alpha=\"0.00\", expect_size=\"38333440\"] \n  8 -> 10 [size =\"38333440\"]\n  9 [size=\"77130240\", alpha=\"0.11\", expect_size=\"30852096\"] \n  10 [size=\"19553280\", alpha=\"0.11\", expect_size=\"7821312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128711680\", alpha=\"0.08\", expect_size=\"51484672\"] \n  1 -> 2 [size =\"51484672\"]\n  2 [size=\"107509760\", alpha=\"0.13\", expect_size=\"43003904\"] \n  2 -> 3 [size =\"43003904\"]\n  3 [size=\"47226880\", alpha=\"0.15\", expect_size=\"18890752\"] \n  3 -> 4 [size =\"18890752\"]\n  4 [size=\"74700800\", alpha=\"0.08\", expect_size=\"29880320\"] \n  4 -> 5 [size =\"29880320\"]\n  5 [size=\"51038720\", alpha=\"0.15\", expect_size=\"20415488\"] \n  5 -> 6 [size =\"20415488\"]\n  6 [size=\"23923200\", alpha=\"0.17\", expect_size=\"9569280\"] \n  6 -> 7 [size =\"9569280\"]\n  7 [size=\"80158720\", alpha=\"0.02\", expect_size=\"32063488\"] \n  7 -> 8 [size =\"32063488\"]\n  8 [size=\"36439040\", alpha=\"0.10\", expect_size=\"14575616\"] \n  8 -> 9 [size =\"14575616\"]\n  9 [size=\"37990400\", alpha=\"0.20\", expect_size=\"15196160\"] \n  9 -> 10 [size =\"15196160\"]\n  10 [size=\"42790400\", alpha=\"0.15\", expect_size=\"17116160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86554624\", alpha=\"0.14\", expect_size=\"43277312\"] \n  1 -> 3 [size =\"43277312\"]\n  1 -> 5 [size =\"43277312\"]\n  2 [size=\"33822720\", alpha=\"0.01\", expect_size=\"16911360\"] \n  2 -> 3 [size =\"16911360\"]\n  2 -> 4 [size =\"16911360\"]\n  3 [size=\"49778688\", alpha=\"0.13\", expect_size=\"24889344\"] \n  4 [size=\"48977920\", alpha=\"0.03\", expect_size=\"24488960\"] \n  4 -> 7 [size =\"24488960\"]\n  5 [size=\"15513600\", alpha=\"0.10\", expect_size=\"7756800\"] \n  5 -> 6 [size =\"7756800\"]\n  5 -> 7 [size =\"7756800\"]\n  6 [size=\"47779840\", alpha=\"0.18\", expect_size=\"23889920\"] \n  6 -> 9 [size =\"23889920\"]\n  7 [size=\"23814144\", alpha=\"0.19\", expect_size=\"11907072\"] \n  7 -> 8 [size =\"11907072\"]\n  7 -> 9 [size =\"11907072\"]\n  8 [size=\"49285120\", alpha=\"0.08\", expect_size=\"24642560\"] \n  8 -> 10 [size =\"24642560\"]\n  9 [size=\"23527424\", alpha=\"0.17\", expect_size=\"11763712\"] \n  9 -> 10 [size =\"11763712\"]\n  10 [size=\"102133760\", alpha=\"0.01\", expect_size=\"51066880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64264192\", alpha=\"0.08\", expect_size=\"32132096\"] \n  1 -> 2 [size =\"32132096\"]\n  2 [size=\"35715072\", alpha=\"0.11\", expect_size=\"17857536\"] \n  2 -> 3 [size =\"17857536\"]\n  3 [size=\"60258304\", alpha=\"0.01\", expect_size=\"30129152\"] \n  3 -> 4 [size =\"30129152\"]\n  4 [size=\"90841088\", alpha=\"0.09\", expect_size=\"45420544\"] \n  4 -> 5 [size =\"45420544\"]\n  5 [size=\"89567232\", alpha=\"0.12\", expect_size=\"44783616\"] \n  5 -> 6 [size =\"44783616\"]\n  6 [size=\"96503808\", alpha=\"0.16\", expect_size=\"48251904\"] \n  6 -> 7 [size =\"48251904\"]\n  7 [size=\"20299776\", alpha=\"0.00\", expect_size=\"10149888\"] \n  7 -> 8 [size =\"10149888\"]\n  8 [size=\"37349376\", alpha=\"0.19\", expect_size=\"18674688\"] \n  8 -> 9 [size =\"18674688\"]\n  9 [size=\"23402496\", alpha=\"0.04\", expect_size=\"11701248\"] \n  9 -> 10 [size =\"11701248\"]\n  10 [size=\"22245376\", alpha=\"0.01\", expect_size=\"11122688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18317312\", alpha=\"0.04\", expect_size=\"9158656\"] \n  1 -> 2 [size =\"9158656\"]\n  2 [size=\"44843008\", alpha=\"0.09\", expect_size=\"22421504\"] \n  2 -> 3 [size =\"22421504\"]\n  3 [size=\"46596096\", alpha=\"0.19\", expect_size=\"23298048\"] \n  3 -> 4 [size =\"23298048\"]\n  4 [size=\"73328640\", alpha=\"0.01\", expect_size=\"36664320\"] \n  4 -> 5 [size =\"36664320\"]\n  5 [size=\"79654912\", alpha=\"0.11\", expect_size=\"39827456\"] \n  5 -> 6 [size =\"39827456\"]\n  6 [size=\"91443200\", alpha=\"0.04\", expect_size=\"45721600\"] \n  6 -> 7 [size =\"45721600\"]\n  7 [size=\"36442112\", alpha=\"0.05\", expect_size=\"18221056\"] \n  7 -> 8 [size =\"18221056\"]\n  8 [size=\"26572800\", alpha=\"0.06\", expect_size=\"13286400\"] \n  8 -> 9 [size =\"13286400\"]\n  9 [size=\"25649152\", alpha=\"0.19\", expect_size=\"12824576\"] \n  9 -> 10 [size =\"12824576\"]\n  10 [size=\"92401664\", alpha=\"0.09\", expect_size=\"46200832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111953920\", alpha=\"0.00\", expect_size=\"33586176\"] \n  1 -> 2 [size =\"33586176\"]\n  2 [size=\"169461760\", alpha=\"0.18\", expect_size=\"50838528\"] \n  2 -> 3 [size =\"50838528\"]\n  3 [size=\"55930880\", alpha=\"0.07\", expect_size=\"16779264\"] \n  3 -> 4 [size =\"16779264\"]\n  4 [size=\"94266027\", alpha=\"0.13\", expect_size=\"28279808\"] \n  4 -> 5 [size =\"28279808\"]\n  5 [size=\"39062187\", alpha=\"0.11\", expect_size=\"11718656\"] \n  5 -> 6 [size =\"11718656\"]\n  6 [size=\"145694720\", alpha=\"0.02\", expect_size=\"43708416\"] \n  6 -> 7 [size =\"43708416\"]\n  7 [size=\"89661440\", alpha=\"0.09\", expect_size=\"26898432\"] \n  7 -> 8 [size =\"26898432\"]\n  8 [size=\"107318613\", alpha=\"0.02\", expect_size=\"32195584\"] \n  8 -> 9 [size =\"32195584\"]\n  9 [size=\"49216853\", alpha=\"0.15\", expect_size=\"14765056\"] \n  9 -> 10 [size =\"14765056\"]\n  10 [size=\"38140587\", alpha=\"0.17\", expect_size=\"11442176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36689920\", alpha=\"0.06\", expect_size=\"11006976\"] \n  1 -> 2 [size =\"11006976\"]\n  2 [size=\"28876800\", alpha=\"0.06\", expect_size=\"8663040\"] \n  2 -> 3 [size =\"8663040\"]\n  3 [size=\"113486507\", alpha=\"0.14\", expect_size=\"34045952\"] \n  3 -> 4 [size =\"34045952\"]\n  4 [size=\"66955947\", alpha=\"0.05\", expect_size=\"20086784\"] \n  4 -> 5 [size =\"20086784\"]\n  5 [size=\"103266987\", alpha=\"0.20\", expect_size=\"30980096\"] \n  5 -> 6 [size =\"30980096\"]\n  6 [size=\"139550720\", alpha=\"0.20\", expect_size=\"41865216\"] \n  6 -> 7 [size =\"41865216\"]\n  7 [size=\"119074133\", alpha=\"0.04\", expect_size=\"35722240\"] \n  7 -> 8 [size =\"35722240\"]\n  8 [size=\"92088320\", alpha=\"0.19\", expect_size=\"27626496\"] \n  8 -> 9 [size =\"27626496\"]\n  9 [size=\"55913813\", alpha=\"0.01\", expect_size=\"16774144\"] \n  9 -> 10 [size =\"16774144\"]\n  10 [size=\"158252373\", alpha=\"0.15\", expect_size=\"47475712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90321920\", alpha=\"0.13\", expect_size=\"36128768\"] \n  1 -> 2 [size =\"36128768\"]\n  2 [size=\"94794240\", alpha=\"0.15\", expect_size=\"37917696\"] \n  2 -> 3 [size =\"37917696\"]\n  3 [size=\"130327040\", alpha=\"0.03\", expect_size=\"52130816\"] \n  3 -> 4 [size =\"52130816\"]\n  4 [size=\"91279360\", alpha=\"0.08\", expect_size=\"36511744\"] \n  4 -> 5 [size =\"36511744\"]\n  5 [size=\"128796160\", alpha=\"0.10\", expect_size=\"51518464\"] \n  5 -> 6 [size =\"51518464\"]\n  6 [size=\"104012800\", alpha=\"0.18\", expect_size=\"41605120\"] \n  6 -> 7 [size =\"41605120\"]\n  7 [size=\"57256960\", alpha=\"0.10\", expect_size=\"22902784\"] \n  7 -> 8 [size =\"22902784\"]\n  8 [size=\"63618560\", alpha=\"0.07\", expect_size=\"25447424\"] \n  8 -> 9 [size =\"25447424\"]\n  9 [size=\"54246400\", alpha=\"0.07\", expect_size=\"21698560\"] \n  9 -> 10 [size =\"21698560\"]\n  10 [size=\"40668160\", alpha=\"0.14\", expect_size=\"16267264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24465920\", alpha=\"0.18\", expect_size=\"9786368\"] \n  1 -> 3 [size =\"9786368\"]\n  1 -> 4 [size =\"9786368\"]\n  1 -> 5 [size =\"9786368\"]\n  2 [size=\"18391040\", alpha=\"0.07\", expect_size=\"7356416\"] \n  3 [size=\"121651200\", alpha=\"0.06\", expect_size=\"48660480\"] \n  3 -> 6 [size =\"48660480\"]\n  4 [size=\"88849920\", alpha=\"0.05\", expect_size=\"35539968\"] \n  5 [size=\"130227200\", alpha=\"0.05\", expect_size=\"52090880\"] \n  5 -> 7 [size =\"52090880\"]\n  6 [size=\"129863680\", alpha=\"0.12\", expect_size=\"51945472\"] \n  6 -> 8 [size =\"51945472\"]\n  7 [size=\"120284160\", alpha=\"0.19\", expect_size=\"48113664\"] \n  8 [size=\"104092160\", alpha=\"0.18\", expect_size=\"41636864\"] \n  8 -> 9 [size =\"41636864\"]\n  9 [size=\"91998720\", alpha=\"0.14\", expect_size=\"36799488\"] \n  9 -> 10 [size =\"36799488\"]\n  10 [size=\"28349440\", alpha=\"0.15\", expect_size=\"11339776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126259200\", alpha=\"0.08\", expect_size=\"37877760\"] \n  2 [size=\"146097493\", alpha=\"0.11\", expect_size=\"43829248\"] \n  2 -> 5 [size =\"43829248\"]\n  2 -> 6 [size =\"43829248\"]\n  2 -> 8 [size =\"43829248\"]\n  3 [size=\"51046400\", alpha=\"0.04\", expect_size=\"15313920\"] \n  3 -> 8 [size =\"15313920\"]\n  4 [size=\"52377600\", alpha=\"0.16\", expect_size=\"15713280\"] \n  4 -> 7 [size =\"15713280\"]\n  4 -> 9 [size =\"15713280\"]\n  5 [size=\"26951680\", alpha=\"0.15\", expect_size=\"8085504\"] \n  5 -> 10 [size =\"8085504\"]\n  6 [size=\"155559253\", alpha=\"0.18\", expect_size=\"46667776\"] \n  7 [size=\"111288320\", alpha=\"0.07\", expect_size=\"33386496\"] \n  8 [size=\"153582933\", alpha=\"0.07\", expect_size=\"46074880\"] \n  8 -> 10 [size =\"46074880\"]\n  9 [size=\"121135787\", alpha=\"0.11\", expect_size=\"36340736\"] \n  9 -> 10 [size =\"36340736\"]\n  10 [size=\"158464000\", alpha=\"0.03\", expect_size=\"47539200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43124736\", alpha=\"0.08\", expect_size=\"21562368\"] \n  1 -> 3 [size =\"21562368\"]\n  1 -> 4 [size =\"21562368\"]\n  1 -> 5 [size =\"21562368\"]\n  2 [size=\"23992320\", alpha=\"0.04\", expect_size=\"11996160\"] \n  2 -> 3 [size =\"11996160\"]\n  2 -> 4 [size =\"11996160\"]\n  2 -> 5 [size =\"11996160\"]\n  3 [size=\"59215872\", alpha=\"0.20\", expect_size=\"29607936\"] \n  3 -> 6 [size =\"29607936\"]\n  3 -> 7 [size =\"29607936\"]\n  4 [size=\"84582400\", alpha=\"0.11\", expect_size=\"42291200\"] \n  4 -> 7 [size =\"42291200\"]\n  5 [size=\"38371328\", alpha=\"0.12\", expect_size=\"19185664\"] \n  6 [size=\"17055744\", alpha=\"0.04\", expect_size=\"8527872\"] \n  7 [size=\"67018752\", alpha=\"0.13\", expect_size=\"33509376\"] \n  7 -> 8 [size =\"33509376\"]\n  7 -> 9 [size =\"33509376\"]\n  8 [size=\"37953536\", alpha=\"0.08\", expect_size=\"18976768\"] \n  8 -> 10 [size =\"18976768\"]\n  9 [size=\"75390976\", alpha=\"0.12\", expect_size=\"37695488\"] \n  9 -> 10 [size =\"37695488\"]\n  10 [size=\"70422528\", alpha=\"0.19\", expect_size=\"35211264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45629440\", alpha=\"0.03\", expect_size=\"18251776\"] \n  1 -> 9 [size =\"18251776\"]\n  1 -> 10 [size =\"18251776\"]\n  2 [size=\"105600000\", alpha=\"0.10\", expect_size=\"42240000\"] \n  2 -> 7 [size =\"42240000\"]\n  2 -> 8 [size =\"42240000\"]\n  2 -> 9 [size =\"42240000\"]\n  3 [size=\"42606080\", alpha=\"0.14\", expect_size=\"17042432\"] \n  3 -> 7 [size =\"17042432\"]\n  3 -> 9 [size =\"17042432\"]\n  3 -> 9 [size =\"17042432\"]\n  4 [size=\"52666880\", alpha=\"0.02\", expect_size=\"21066752\"] \n  4 -> 8 [size =\"21066752\"]\n  5 [size=\"44090880\", alpha=\"0.09\", expect_size=\"17636352\"] \n  5 -> 7 [size =\"17636352\"]\n  6 [size=\"109509120\", alpha=\"0.09\", expect_size=\"43803648\"] \n  6 -> 9 [size =\"43803648\"]\n  7 [size=\"37434880\", alpha=\"0.12\", expect_size=\"14973952\"] \n  8 [size=\"111206400\", alpha=\"0.01\", expect_size=\"44482560\"] \n  9 [size=\"36582400\", alpha=\"0.02\", expect_size=\"14632960\"] \n  10 [size=\"107660800\", alpha=\"0.10\", expect_size=\"43064320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57874432\", alpha=\"0.14\", expect_size=\"28937216\"] \n  1 -> 2 [size =\"28937216\"]\n  2 [size=\"96149504\", alpha=\"0.11\", expect_size=\"48074752\"] \n  2 -> 3 [size =\"48074752\"]\n  3 [size=\"72509440\", alpha=\"0.13\", expect_size=\"36254720\"] \n  3 -> 4 [size =\"36254720\"]\n  4 [size=\"43671552\", alpha=\"0.11\", expect_size=\"21835776\"] \n  4 -> 5 [size =\"21835776\"]\n  5 [size=\"32600064\", alpha=\"0.14\", expect_size=\"16300032\"] \n  5 -> 6 [size =\"16300032\"]\n  6 [size=\"63240192\", alpha=\"0.15\", expect_size=\"31620096\"] \n  6 -> 7 [size =\"31620096\"]\n  7 [size=\"35407872\", alpha=\"0.07\", expect_size=\"17703936\"] \n  7 -> 8 [size =\"17703936\"]\n  8 [size=\"21098496\", alpha=\"0.17\", expect_size=\"10549248\"] \n  8 -> 9 [size =\"10549248\"]\n  9 [size=\"35827712\", alpha=\"0.06\", expect_size=\"17913856\"] \n  9 -> 10 [size =\"17913856\"]\n  10 [size=\"13744128\", alpha=\"0.03\", expect_size=\"6872064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101465600\", alpha=\"0.03\", expect_size=\"40586240\"] \n  1 -> 2 [size =\"40586240\"]\n  2 [size=\"37875200\", alpha=\"0.17\", expect_size=\"15150080\"] \n  2 -> 3 [size =\"15150080\"]\n  3 [size=\"49615360\", alpha=\"0.01\", expect_size=\"19846144\"] \n  3 -> 4 [size =\"19846144\"]\n  4 [size=\"105221120\", alpha=\"0.09\", expect_size=\"42088448\"] \n  4 -> 5 [size =\"42088448\"]\n  5 [size=\"14131200\", alpha=\"0.16\", expect_size=\"5652480\"] \n  5 -> 6 [size =\"5652480\"]\n  6 [size=\"79587840\", alpha=\"0.07\", expect_size=\"31835136\"] \n  6 -> 7 [size =\"31835136\"]\n  7 [size=\"48432640\", alpha=\"0.13\", expect_size=\"19373056\"] \n  7 -> 8 [size =\"19373056\"]\n  8 [size=\"64645120\", alpha=\"0.01\", expect_size=\"25858048\"] \n  8 -> 9 [size =\"25858048\"]\n  9 [size=\"19978240\", alpha=\"0.05\", expect_size=\"7991296\"] \n  9 -> 10 [size =\"7991296\"]\n  10 [size=\"78348800\", alpha=\"0.13\", expect_size=\"31339520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58867200\", alpha=\"0.14\", expect_size=\"23546880\"] \n  2 [size=\"93258240\", alpha=\"0.08\", expect_size=\"37303296\"] \n  2 -> 5 [size =\"37303296\"]\n  3 [size=\"102935040\", alpha=\"0.09\", expect_size=\"41174016\"] \n  3 -> 4 [size =\"41174016\"]\n  3 -> 5 [size =\"41174016\"]\n  4 [size=\"49203200\", alpha=\"0.15\", expect_size=\"19681280\"] \n  4 -> 6 [size =\"19681280\"]\n  5 [size=\"32448000\", alpha=\"0.19\", expect_size=\"12979200\"] \n  5 -> 7 [size =\"12979200\"]\n  6 [size=\"24230400\", alpha=\"0.11\", expect_size=\"9692160\"] \n  6 -> 8 [size =\"9692160\"]\n  6 -> 9 [size =\"9692160\"]\n  7 [size=\"60554240\", alpha=\"0.04\", expect_size=\"24221696\"] \n  7 -> 8 [size =\"24221696\"]\n  7 -> 10 [size =\"24221696\"]\n  8 [size=\"14023680\", alpha=\"0.15\", expect_size=\"5609472\"] \n  9 [size=\"68221440\", alpha=\"0.17\", expect_size=\"27288576\"] \n  10 [size=\"50590720\", alpha=\"0.07\", expect_size=\"20236288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102353920\", alpha=\"0.19\", expect_size=\"40941568\"] \n  1 -> 4 [size =\"40941568\"]\n  2 [size=\"44953600\", alpha=\"0.01\", expect_size=\"17981440\"] \n  2 -> 3 [size =\"17981440\"]\n  2 -> 5 [size =\"17981440\"]\n  3 [size=\"105205760\", alpha=\"0.15\", expect_size=\"42082304\"] \n  3 -> 6 [size =\"42082304\"]\n  3 -> 8 [size =\"42082304\"]\n  4 [size=\"120419840\", alpha=\"0.03\", expect_size=\"48167936\"] \n  4 -> 7 [size =\"48167936\"]\n  5 [size=\"75294720\", alpha=\"0.06\", expect_size=\"30117888\"] \n  5 -> 6 [size =\"30117888\"]\n  5 -> 7 [size =\"30117888\"]\n  5 -> 8 [size =\"30117888\"]\n  6 [size=\"62397440\", alpha=\"0.03\", expect_size=\"24958976\"] \n  7 [size=\"108375040\", alpha=\"0.14\", expect_size=\"43350016\"] \n  7 -> 9 [size =\"43350016\"]\n  7 -> 10 [size =\"43350016\"]\n  8 [size=\"127073280\", alpha=\"0.03\", expect_size=\"50829312\"] \n  8 -> 9 [size =\"50829312\"]\n  9 [size=\"90027520\", alpha=\"0.02\", expect_size=\"36011008\"] \n  10 [size=\"97989120\", alpha=\"0.14\", expect_size=\"39195648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39149568\", alpha=\"0.01\", expect_size=\"19574784\"] \n  1 -> 2 [size =\"19574784\"]\n  2 [size=\"12183552\", alpha=\"0.02\", expect_size=\"6091776\"] \n  2 -> 3 [size =\"6091776\"]\n  3 [size=\"47847424\", alpha=\"0.04\", expect_size=\"23923712\"] \n  3 -> 4 [size =\"23923712\"]\n  4 [size=\"81068032\", alpha=\"0.05\", expect_size=\"40534016\"] \n  4 -> 5 [size =\"40534016\"]\n  5 [size=\"78495744\", alpha=\"0.13\", expect_size=\"39247872\"] \n  5 -> 6 [size =\"39247872\"]\n  6 [size=\"51376128\", alpha=\"0.11\", expect_size=\"25688064\"] \n  6 -> 7 [size =\"25688064\"]\n  7 [size=\"90419200\", alpha=\"0.17\", expect_size=\"45209600\"] \n  7 -> 8 [size =\"45209600\"]\n  8 [size=\"70195200\", alpha=\"0.01\", expect_size=\"35097600\"] \n  8 -> 9 [size =\"35097600\"]\n  9 [size=\"73928704\", alpha=\"0.12\", expect_size=\"36964352\"] \n  9 -> 10 [size =\"36964352\"]\n  10 [size=\"88840192\", alpha=\"0.06\", expect_size=\"44420096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145582080\", alpha=\"0.17\", expect_size=\"43674624\"] \n  1 -> 2 [size =\"43674624\"]\n  2 [size=\"113732267\", alpha=\"0.10\", expect_size=\"34119680\"] \n  2 -> 3 [size =\"34119680\"]\n  3 [size=\"135133867\", alpha=\"0.12\", expect_size=\"40540160\"] \n  3 -> 4 [size =\"40540160\"]\n  4 [size=\"26733227\", alpha=\"0.07\", expect_size=\"8019968\"] \n  4 -> 5 [size =\"8019968\"]\n  5 [size=\"35034453\", alpha=\"0.12\", expect_size=\"10510336\"] \n  5 -> 6 [size =\"10510336\"]\n  6 [size=\"76482560\", alpha=\"0.18\", expect_size=\"22944768\"] \n  6 -> 7 [size =\"22944768\"]\n  7 [size=\"19507200\", alpha=\"0.11\", expect_size=\"5852160\"] \n  7 -> 8 [size =\"5852160\"]\n  8 [size=\"19466240\", alpha=\"0.07\", expect_size=\"5839872\"] \n  8 -> 9 [size =\"5839872\"]\n  9 [size=\"47264427\", alpha=\"0.07\", expect_size=\"14179328\"] \n  9 -> 10 [size =\"14179328\"]\n  10 [size=\"106496000\", alpha=\"0.13\", expect_size=\"31948800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65908053\", alpha=\"0.19\", expect_size=\"19772416\"] \n  1 -> 5 [size =\"19772416\"]\n  1 -> 6 [size =\"19772416\"]\n  1 -> 8 [size =\"19772416\"]\n  2 [size=\"31272960\", alpha=\"0.08\", expect_size=\"9381888\"] \n  2 -> 6 [size =\"9381888\"]\n  2 -> 7 [size =\"9381888\"]\n  2 -> 8 [size =\"9381888\"]\n  3 [size=\"27033600\", alpha=\"0.05\", expect_size=\"8110080\"] \n  3 -> 5 [size =\"8110080\"]\n  4 [size=\"117227520\", alpha=\"0.13\", expect_size=\"35168256\"] \n  5 [size=\"159720107\", alpha=\"0.09\", expect_size=\"47916032\"] \n  5 -> 9 [size =\"47916032\"]\n  6 [size=\"89569280\", alpha=\"0.11\", expect_size=\"26870784\"] \n  6 -> 9 [size =\"26870784\"]\n  6 -> 10 [size =\"26870784\"]\n  7 [size=\"88517973\", alpha=\"0.05\", expect_size=\"26555392\"] \n  7 -> 9 [size =\"26555392\"]\n  7 -> 10 [size =\"26555392\"]\n  8 [size=\"21346987\", alpha=\"0.04\", expect_size=\"6404096\"] \n  8 -> 10 [size =\"6404096\"]\n  9 [size=\"138646187\", alpha=\"0.01\", expect_size=\"41593856\"] \n  10 [size=\"54114987\", alpha=\"0.05\", expect_size=\"16234496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91387904\", alpha=\"0.09\", expect_size=\"45693952\"] \n  1 -> 2 [size =\"45693952\"]\n  2 [size=\"41150464\", alpha=\"0.07\", expect_size=\"20575232\"] \n  2 -> 3 [size =\"20575232\"]\n  3 [size=\"55918592\", alpha=\"0.17\", expect_size=\"27959296\"] \n  3 -> 4 [size =\"27959296\"]\n  4 [size=\"77910016\", alpha=\"0.02\", expect_size=\"38955008\"] \n  4 -> 5 [size =\"38955008\"]\n  5 [size=\"51310592\", alpha=\"0.10\", expect_size=\"25655296\"] \n  5 -> 6 [size =\"25655296\"]\n  6 [size=\"86339584\", alpha=\"0.04\", expect_size=\"43169792\"] \n  6 -> 7 [size =\"43169792\"]\n  7 [size=\"95074304\", alpha=\"0.00\", expect_size=\"47537152\"] \n  7 -> 8 [size =\"47537152\"]\n  8 [size=\"88969216\", alpha=\"0.01\", expect_size=\"44484608\"] \n  8 -> 9 [size =\"44484608\"]\n  9 [size=\"37959680\", alpha=\"0.18\", expect_size=\"18979840\"] \n  9 -> 10 [size =\"18979840\"]\n  10 [size=\"21288960\", alpha=\"0.09\", expect_size=\"10644480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19441664\", alpha=\"0.16\", expect_size=\"9720832\"] \n  1 -> 4 [size =\"9720832\"]\n  1 -> 5 [size =\"9720832\"]\n  1 -> 6 [size =\"9720832\"]\n  1 -> 7 [size =\"9720832\"]\n  2 [size=\"14215168\", alpha=\"0.13\", expect_size=\"7107584\"] \n  2 -> 4 [size =\"7107584\"]\n  2 -> 5 [size =\"7107584\"]\n  2 -> 6 [size =\"7107584\"]\n  3 [size=\"96231424\", alpha=\"0.19\", expect_size=\"48115712\"] \n  3 -> 4 [size =\"48115712\"]\n  3 -> 5 [size =\"48115712\"]\n  3 -> 6 [size =\"48115712\"]\n  4 [size=\"81291264\", alpha=\"0.03\", expect_size=\"40645632\"] \n  4 -> 9 [size =\"40645632\"]\n  5 [size=\"34623488\", alpha=\"0.11\", expect_size=\"17311744\"] \n  5 -> 8 [size =\"17311744\"]\n  5 -> 9 [size =\"17311744\"]\n  5 -> 10 [size =\"17311744\"]\n  6 [size=\"80953344\", alpha=\"0.07\", expect_size=\"40476672\"] \n  6 -> 8 [size =\"40476672\"]\n  7 [size=\"28145664\", alpha=\"0.15\", expect_size=\"14072832\"] \n  7 -> 10 [size =\"14072832\"]\n  8 [size=\"101568512\", alpha=\"0.11\", expect_size=\"50784256\"] \n  9 [size=\"17926144\", alpha=\"0.17\", expect_size=\"8963072\"] \n  10 [size=\"32061440\", alpha=\"0.04\", expect_size=\"16030720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46831616\", alpha=\"0.11\", expect_size=\"23415808\"] \n  1 -> 2 [size =\"23415808\"]\n  2 [size=\"59572224\", alpha=\"0.03\", expect_size=\"29786112\"] \n  2 -> 3 [size =\"29786112\"]\n  3 [size=\"75950080\", alpha=\"0.13\", expect_size=\"37975040\"] \n  3 -> 4 [size =\"37975040\"]\n  4 [size=\"43036672\", alpha=\"0.06\", expect_size=\"21518336\"] \n  4 -> 5 [size =\"21518336\"]\n  5 [size=\"31594496\", alpha=\"0.08\", expect_size=\"15797248\"] \n  5 -> 6 [size =\"15797248\"]\n  6 [size=\"76238848\", alpha=\"0.19\", expect_size=\"38119424\"] \n  6 -> 7 [size =\"38119424\"]\n  7 [size=\"32872448\", alpha=\"0.19\", expect_size=\"16436224\"] \n  7 -> 8 [size =\"16436224\"]\n  8 [size=\"19908608\", alpha=\"0.13\", expect_size=\"9954304\"] \n  8 -> 9 [size =\"9954304\"]\n  9 [size=\"89026560\", alpha=\"0.08\", expect_size=\"44513280\"] \n  9 -> 10 [size =\"44513280\"]\n  10 [size=\"19025920\", alpha=\"0.03\", expect_size=\"9512960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49432576\", alpha=\"0.07\", expect_size=\"24716288\"] \n  1 -> 2 [size =\"24716288\"]\n  2 [size=\"23126016\", alpha=\"0.12\", expect_size=\"11563008\"] \n  2 -> 3 [size =\"11563008\"]\n  3 [size=\"64194560\", alpha=\"0.01\", expect_size=\"32097280\"] \n  3 -> 4 [size =\"32097280\"]\n  4 [size=\"27772928\", alpha=\"0.18\", expect_size=\"13886464\"] \n  4 -> 5 [size =\"13886464\"]\n  5 [size=\"24330240\", alpha=\"0.18\", expect_size=\"12165120\"] \n  5 -> 6 [size =\"12165120\"]\n  6 [size=\"74297344\", alpha=\"0.07\", expect_size=\"37148672\"] \n  6 -> 7 [size =\"37148672\"]\n  7 [size=\"52684800\", alpha=\"0.04\", expect_size=\"26342400\"] \n  7 -> 8 [size =\"26342400\"]\n  8 [size=\"13449216\", alpha=\"0.11\", expect_size=\"6724608\"] \n  8 -> 9 [size =\"6724608\"]\n  9 [size=\"96350208\", alpha=\"0.15\", expect_size=\"48175104\"] \n  9 -> 10 [size =\"48175104\"]\n  10 [size=\"47968256\", alpha=\"0.12\", expect_size=\"23984128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98826240\", alpha=\"0.10\", expect_size=\"29647872\"] \n  1 -> 2 [size =\"29647872\"]\n  2 [size=\"18575360\", alpha=\"0.10\", expect_size=\"5572608\"] \n  2 -> 3 [size =\"5572608\"]\n  3 [size=\"19950933\", alpha=\"0.01\", expect_size=\"5985280\"] \n  3 -> 4 [size =\"5985280\"]\n  4 [size=\"122876587\", alpha=\"0.03\", expect_size=\"36862976\"] \n  4 -> 5 [size =\"36862976\"]\n  5 [size=\"38570667\", alpha=\"0.13\", expect_size=\"11571200\"] \n  5 -> 6 [size =\"11571200\"]\n  6 [size=\"97853440\", alpha=\"0.12\", expect_size=\"29356032\"] \n  6 -> 7 [size =\"29356032\"]\n  7 [size=\"86923947\", alpha=\"0.11\", expect_size=\"26077184\"] \n  7 -> 8 [size =\"26077184\"]\n  8 [size=\"96962560\", alpha=\"0.14\", expect_size=\"29088768\"] \n  8 -> 9 [size =\"29088768\"]\n  9 [size=\"143295147\", alpha=\"0.01\", expect_size=\"42988544\"] \n  9 -> 10 [size =\"42988544\"]\n  10 [size=\"62423040\", alpha=\"0.01\", expect_size=\"18726912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84852053\", alpha=\"0.03\", expect_size=\"25455616\"] \n  1 -> 2 [size =\"25455616\"]\n  2 [size=\"54220800\", alpha=\"0.10\", expect_size=\"16266240\"] \n  2 -> 3 [size =\"16266240\"]\n  3 [size=\"163406507\", alpha=\"0.08\", expect_size=\"49021952\"] \n  3 -> 4 [size =\"49021952\"]\n  4 [size=\"96361813\", alpha=\"0.10\", expect_size=\"28908544\"] \n  4 -> 5 [size =\"28908544\"]\n  5 [size=\"24722773\", alpha=\"0.17\", expect_size=\"7416832\"] \n  5 -> 6 [size =\"7416832\"]\n  6 [size=\"116155733\", alpha=\"0.05\", expect_size=\"34846720\"] \n  6 -> 7 [size =\"34846720\"]\n  7 [size=\"115544747\", alpha=\"0.19\", expect_size=\"34663424\"] \n  7 -> 8 [size =\"34663424\"]\n  8 [size=\"83988480\", alpha=\"0.07\", expect_size=\"25196544\"] \n  8 -> 9 [size =\"25196544\"]\n  9 [size=\"86616747\", alpha=\"0.10\", expect_size=\"25985024\"] \n  9 -> 10 [size =\"25985024\"]\n  10 [size=\"119186773\", alpha=\"0.10\", expect_size=\"35756032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88026453\", alpha=\"0.09\", expect_size=\"26407936\"] \n  1 -> 2 [size =\"26407936\"]\n  2 [size=\"70748160\", alpha=\"0.09\", expect_size=\"21224448\"] \n  2 -> 3 [size =\"21224448\"]\n  3 [size=\"63542613\", alpha=\"0.06\", expect_size=\"19062784\"] \n  3 -> 4 [size =\"19062784\"]\n  4 [size=\"68993707\", alpha=\"0.13\", expect_size=\"20698112\"] \n  4 -> 5 [size =\"20698112\"]\n  5 [size=\"88971947\", alpha=\"0.16\", expect_size=\"26691584\"] \n  5 -> 6 [size =\"26691584\"]\n  6 [size=\"31556267\", alpha=\"0.03\", expect_size=\"9466880\"] \n  6 -> 7 [size =\"9466880\"]\n  7 [size=\"66679467\", alpha=\"0.03\", expect_size=\"20003840\"] \n  7 -> 8 [size =\"20003840\"]\n  8 [size=\"69352107\", alpha=\"0.04\", expect_size=\"20805632\"] \n  8 -> 9 [size =\"20805632\"]\n  9 [size=\"94201173\", alpha=\"0.16\", expect_size=\"28260352\"] \n  9 -> 10 [size =\"28260352\"]\n  10 [size=\"161887573\", alpha=\"0.18\", expect_size=\"48566272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101711872\", alpha=\"0.15\", expect_size=\"50855936\"] \n  1 -> 2 [size =\"50855936\"]\n  2 [size=\"99301376\", alpha=\"0.07\", expect_size=\"49650688\"] \n  2 -> 3 [size =\"49650688\"]\n  3 [size=\"25075712\", alpha=\"0.14\", expect_size=\"12537856\"] \n  3 -> 4 [size =\"12537856\"]\n  4 [size=\"71755776\", alpha=\"0.15\", expect_size=\"35877888\"] \n  4 -> 5 [size =\"35877888\"]\n  5 [size=\"44232704\", alpha=\"0.15\", expect_size=\"22116352\"] \n  5 -> 6 [size =\"22116352\"]\n  6 [size=\"14712832\", alpha=\"0.01\", expect_size=\"7356416\"] \n  6 -> 7 [size =\"7356416\"]\n  7 [size=\"57069568\", alpha=\"0.18\", expect_size=\"28534784\"] \n  7 -> 8 [size =\"28534784\"]\n  8 [size=\"31830016\", alpha=\"0.11\", expect_size=\"15915008\"] \n  8 -> 9 [size =\"15915008\"]\n  9 [size=\"12648448\", alpha=\"0.01\", expect_size=\"6324224\"] \n  9 -> 10 [size =\"6324224\"]\n  10 [size=\"26869760\", alpha=\"0.15\", expect_size=\"13434880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94013440\", alpha=\"0.11\", expect_size=\"28204032\"] \n  1 -> 2 [size =\"28204032\"]\n  2 [size=\"103325013\", alpha=\"0.05\", expect_size=\"30997504\"] \n  2 -> 3 [size =\"30997504\"]\n  3 [size=\"99123200\", alpha=\"0.01\", expect_size=\"29736960\"] \n  3 -> 4 [size =\"29736960\"]\n  4 [size=\"170731520\", alpha=\"0.17\", expect_size=\"51219456\"] \n  4 -> 5 [size =\"51219456\"]\n  5 [size=\"59132587\", alpha=\"0.05\", expect_size=\"17739776\"] \n  5 -> 6 [size =\"17739776\"]\n  6 [size=\"18295467\", alpha=\"0.19\", expect_size=\"5488640\"] \n  6 -> 7 [size =\"5488640\"]\n  7 [size=\"45892267\", alpha=\"0.13\", expect_size=\"13767680\"] \n  7 -> 8 [size =\"13767680\"]\n  8 [size=\"116585813\", alpha=\"0.18\", expect_size=\"34975744\"] \n  8 -> 9 [size =\"34975744\"]\n  9 [size=\"106697387\", alpha=\"0.17\", expect_size=\"32009216\"] \n  9 -> 10 [size =\"32009216\"]\n  10 [size=\"86708907\", alpha=\"0.03\", expect_size=\"26012672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96911360\", alpha=\"0.07\", expect_size=\"29073408\"] \n  1 -> 2 [size =\"29073408\"]\n  2 [size=\"119562240\", alpha=\"0.04\", expect_size=\"35868672\"] \n  2 -> 3 [size =\"35868672\"]\n  3 [size=\"77605547\", alpha=\"0.09\", expect_size=\"23281664\"] \n  3 -> 4 [size =\"23281664\"]\n  4 [size=\"143063040\", alpha=\"0.19\", expect_size=\"42918912\"] \n  4 -> 5 [size =\"42918912\"]\n  5 [size=\"123091627\", alpha=\"0.14\", expect_size=\"36927488\"] \n  5 -> 6 [size =\"36927488\"]\n  6 [size=\"90705920\", alpha=\"0.17\", expect_size=\"27211776\"] \n  6 -> 7 [size =\"27211776\"]\n  7 [size=\"75421013\", alpha=\"0.17\", expect_size=\"22626304\"] \n  7 -> 8 [size =\"22626304\"]\n  8 [size=\"23098027\", alpha=\"0.14\", expect_size=\"6929408\"] \n  8 -> 9 [size =\"6929408\"]\n  9 [size=\"35478187\", alpha=\"0.13\", expect_size=\"10643456\"] \n  9 -> 10 [size =\"10643456\"]\n  10 [size=\"50667520\", alpha=\"0.01\", expect_size=\"15200256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53805056\", alpha=\"0.01\", expect_size=\"26902528\"] \n  1 -> 10 [size =\"26902528\"]\n  2 [size=\"43407360\", alpha=\"0.19\", expect_size=\"21703680\"] \n  2 -> 10 [size =\"21703680\"]\n  3 [size=\"12761088\", alpha=\"0.00\", expect_size=\"6380544\"] \n  3 -> 10 [size =\"6380544\"]\n  4 [size=\"59025408\", alpha=\"0.05\", expect_size=\"29512704\"] \n  5 [size=\"104128512\", alpha=\"0.05\", expect_size=\"52064256\"] \n  6 [size=\"83339264\", alpha=\"0.02\", expect_size=\"41669632\"] \n  7 [size=\"59551744\", alpha=\"0.01\", expect_size=\"29775872\"] \n  8 [size=\"29876224\", alpha=\"0.18\", expect_size=\"14938112\"] \n  8 -> 10 [size =\"14938112\"]\n  9 [size=\"96299008\", alpha=\"0.01\", expect_size=\"48149504\"] \n  9 -> 10 [size =\"48149504\"]\n  10 [size=\"89935872\", alpha=\"0.18\", expect_size=\"44967936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106267307\", alpha=\"0.18\", expect_size=\"31880192\"] \n  1 -> 9 [size =\"31880192\"]\n  2 [size=\"63187627\", alpha=\"0.01\", expect_size=\"18956288\"] \n  2 -> 8 [size =\"18956288\"]\n  3 [size=\"117377707\", alpha=\"0.11\", expect_size=\"35213312\"] \n  3 -> 8 [size =\"35213312\"]\n  3 -> 10 [size =\"35213312\"]\n  4 [size=\"149299200\", alpha=\"0.07\", expect_size=\"44789760\"] \n  5 [size=\"92245333\", alpha=\"0.12\", expect_size=\"27673600\"] \n  5 -> 10 [size =\"27673600\"]\n  6 [size=\"143356587\", alpha=\"0.09\", expect_size=\"43006976\"] \n  6 -> 9 [size =\"43006976\"]\n  6 -> 10 [size =\"43006976\"]\n  7 [size=\"43335680\", alpha=\"0.20\", expect_size=\"13000704\"] \n  8 [size=\"87855787\", alpha=\"0.08\", expect_size=\"26356736\"] \n  9 [size=\"147810987\", alpha=\"0.15\", expect_size=\"44343296\"] \n  10 [size=\"91323733\", alpha=\"0.07\", expect_size=\"27397120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16730112\", alpha=\"0.06\", expect_size=\"8365056\"] \n  1 -> 2 [size =\"8365056\"]\n  2 [size=\"54312960\", alpha=\"0.09\", expect_size=\"27156480\"] \n  2 -> 3 [size =\"27156480\"]\n  3 [size=\"102692864\", alpha=\"0.02\", expect_size=\"51346432\"] \n  3 -> 4 [size =\"51346432\"]\n  4 [size=\"83630080\", alpha=\"0.06\", expect_size=\"41815040\"] \n  4 -> 5 [size =\"41815040\"]\n  5 [size=\"47699968\", alpha=\"0.01\", expect_size=\"23849984\"] \n  5 -> 6 [size =\"23849984\"]\n  6 [size=\"90490880\", alpha=\"0.10\", expect_size=\"45245440\"] \n  6 -> 7 [size =\"45245440\"]\n  7 [size=\"51089408\", alpha=\"0.11\", expect_size=\"25544704\"] \n  7 -> 8 [size =\"25544704\"]\n  8 [size=\"33890304\", alpha=\"0.15\", expect_size=\"16945152\"] \n  8 -> 9 [size =\"16945152\"]\n  9 [size=\"81029120\", alpha=\"0.20\", expect_size=\"40514560\"] \n  9 -> 10 [size =\"40514560\"]\n  10 [size=\"11464704\", alpha=\"0.15\", expect_size=\"5732352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23303680\", alpha=\"0.12\", expect_size=\"9321472\"] \n  1 -> 2 [size =\"9321472\"]\n  2 [size=\"80340480\", alpha=\"0.08\", expect_size=\"32136192\"] \n  2 -> 3 [size =\"32136192\"]\n  3 [size=\"112570880\", alpha=\"0.00\", expect_size=\"45028352\"] \n  3 -> 4 [size =\"45028352\"]\n  4 [size=\"25228800\", alpha=\"0.18\", expect_size=\"10091520\"] \n  4 -> 5 [size =\"10091520\"]\n  5 [size=\"108113920\", alpha=\"0.11\", expect_size=\"43245568\"] \n  5 -> 6 [size =\"43245568\"]\n  6 [size=\"109076480\", alpha=\"0.08\", expect_size=\"43630592\"] \n  6 -> 7 [size =\"43630592\"]\n  7 [size=\"27806720\", alpha=\"0.16\", expect_size=\"11122688\"] \n  7 -> 8 [size =\"11122688\"]\n  8 [size=\"91159040\", alpha=\"0.02\", expect_size=\"36463616\"] \n  8 -> 9 [size =\"36463616\"]\n  9 [size=\"107996160\", alpha=\"0.06\", expect_size=\"43198464\"] \n  9 -> 10 [size =\"43198464\"]\n  10 [size=\"106639360\", alpha=\"0.03\", expect_size=\"42655744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19830784\", alpha=\"0.18\", expect_size=\"9915392\"] \n  1 -> 2 [size =\"9915392\"]\n  2 [size=\"26138624\", alpha=\"0.06\", expect_size=\"13069312\"] \n  2 -> 3 [size =\"13069312\"]\n  3 [size=\"76283904\", alpha=\"0.08\", expect_size=\"38141952\"] \n  3 -> 4 [size =\"38141952\"]\n  4 [size=\"49690624\", alpha=\"0.10\", expect_size=\"24845312\"] \n  4 -> 5 [size =\"24845312\"]\n  5 [size=\"76341248\", alpha=\"0.10\", expect_size=\"38170624\"] \n  5 -> 6 [size =\"38170624\"]\n  6 [size=\"81858560\", alpha=\"0.16\", expect_size=\"40929280\"] \n  6 -> 7 [size =\"40929280\"]\n  7 [size=\"85094400\", alpha=\"0.00\", expect_size=\"42547200\"] \n  7 -> 8 [size =\"42547200\"]\n  8 [size=\"61489152\", alpha=\"0.08\", expect_size=\"30744576\"] \n  8 -> 9 [size =\"30744576\"]\n  9 [size=\"40560640\", alpha=\"0.10\", expect_size=\"20280320\"] \n  9 -> 10 [size =\"20280320\"]\n  10 [size=\"59897856\", alpha=\"0.10\", expect_size=\"29948928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134993920\", alpha=\"0.03\", expect_size=\"40498176\"] \n  1 -> 5 [size =\"40498176\"]\n  1 -> 6 [size =\"40498176\"]\n  1 -> 8 [size =\"40498176\"]\n  1 -> 9 [size =\"40498176\"]\n  1 -> 10 [size =\"40498176\"]\n  2 [size=\"62672213\", alpha=\"0.19\", expect_size=\"18801664\"] \n  2 -> 8 [size =\"18801664\"]\n  2 -> 10 [size =\"18801664\"]\n  3 [size=\"34658987\", alpha=\"0.01\", expect_size=\"10397696\"] \n  3 -> 5 [size =\"10397696\"]\n  3 -> 6 [size =\"10397696\"]\n  3 -> 10 [size =\"10397696\"]\n  4 [size=\"74792960\", alpha=\"0.02\", expect_size=\"22437888\"] \n  4 -> 6 [size =\"22437888\"]\n  4 -> 6 [size =\"22437888\"]\n  4 -> 7 [size =\"22437888\"]\n  4 -> 8 [size =\"22437888\"]\n  4 -> 10 [size =\"22437888\"]\n  5 [size=\"87149227\", alpha=\"0.07\", expect_size=\"26144768\"] \n  6 [size=\"168239787\", alpha=\"0.20\", expect_size=\"50471936\"] \n  7 [size=\"67447467\", alpha=\"0.11\", expect_size=\"20234240\"] \n  8 [size=\"170598400\", alpha=\"0.09\", expect_size=\"51179520\"] \n  9 [size=\"64081920\", alpha=\"0.02\", expect_size=\"19224576\"] \n  10 [size=\"89582933\", alpha=\"0.08\", expect_size=\"26874880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103837696\", alpha=\"0.18\", expect_size=\"51918848\"] \n  1 -> 8 [size =\"51918848\"]\n  1 -> 10 [size =\"51918848\"]\n  2 [size=\"63444992\", alpha=\"0.08\", expect_size=\"31722496\"] \n  2 -> 7 [size =\"31722496\"]\n  2 -> 8 [size =\"31722496\"]\n  3 [size=\"18368512\", alpha=\"0.12\", expect_size=\"9184256\"] \n  3 -> 7 [size =\"9184256\"]\n  3 -> 8 [size =\"9184256\"]\n  4 [size=\"70717440\", alpha=\"0.05\", expect_size=\"35358720\"] \n  4 -> 8 [size =\"35358720\"]\n  4 -> 8 [size =\"35358720\"]\n  4 -> 9 [size =\"35358720\"]\n  5 [size=\"96712704\", alpha=\"0.11\", expect_size=\"48356352\"] \n  6 [size=\"97351680\", alpha=\"0.05\", expect_size=\"48675840\"] \n  7 [size=\"81246208\", alpha=\"0.02\", expect_size=\"40623104\"] \n  8 [size=\"50440192\", alpha=\"0.14\", expect_size=\"25220096\"] \n  9 [size=\"59009024\", alpha=\"0.20\", expect_size=\"29504512\"] \n  10 [size=\"56539136\", alpha=\"0.09\", expect_size=\"28269568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83217920\", alpha=\"0.15\", expect_size=\"33287168\"] \n  1 -> 6 [size =\"33287168\"]\n  1 -> 8 [size =\"33287168\"]\n  2 [size=\"13442560\", alpha=\"0.10\", expect_size=\"5377024\"] \n  2 -> 8 [size =\"5377024\"]\n  2 -> 9 [size =\"5377024\"]\n  3 [size=\"95065600\", alpha=\"0.03\", expect_size=\"38026240\"] \n  3 -> 7 [size =\"38026240\"]\n  4 [size=\"67678720\", alpha=\"0.17\", expect_size=\"27071488\"] \n  4 -> 8 [size =\"27071488\"]\n  4 -> 9 [size =\"27071488\"]\n  4 -> 10 [size =\"27071488\"]\n  5 [size=\"60042240\", alpha=\"0.18\", expect_size=\"24016896\"] \n  5 -> 6 [size =\"24016896\"]\n  6 [size=\"66250240\", alpha=\"0.11\", expect_size=\"26500096\"] \n  7 [size=\"118878720\", alpha=\"0.00\", expect_size=\"47551488\"] \n  8 [size=\"91965440\", alpha=\"0.03\", expect_size=\"36786176\"] \n  9 [size=\"123691520\", alpha=\"0.13\", expect_size=\"49476608\"] \n  10 [size=\"27310080\", alpha=\"0.17\", expect_size=\"10924032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95429120\", alpha=\"0.02\", expect_size=\"38171648\"] \n  2 [size=\"124254720\", alpha=\"0.11\", expect_size=\"49701888\"] \n  2 -> 10 [size =\"49701888\"]\n  3 [size=\"107814400\", alpha=\"0.03\", expect_size=\"43125760\"] \n  3 -> 10 [size =\"43125760\"]\n  4 [size=\"46466560\", alpha=\"0.09\", expect_size=\"18586624\"] \n  5 [size=\"116513280\", alpha=\"0.06\", expect_size=\"46605312\"] \n  5 -> 10 [size =\"46605312\"]\n  6 [size=\"127943680\", alpha=\"0.08\", expect_size=\"51177472\"] \n  6 -> 10 [size =\"51177472\"]\n  7 [size=\"76167680\", alpha=\"0.08\", expect_size=\"30467072\"] \n  8 [size=\"60587520\", alpha=\"0.03\", expect_size=\"24235008\"] \n  8 -> 10 [size =\"24235008\"]\n  9 [size=\"113031680\", alpha=\"0.07\", expect_size=\"45212672\"] \n  9 -> 10 [size =\"45212672\"]\n  10 [size=\"40977920\", alpha=\"0.05\", expect_size=\"16391168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89554944\", alpha=\"0.18\", expect_size=\"44777472\"] \n  1 -> 6 [size =\"44777472\"]\n  1 -> 8 [size =\"44777472\"]\n  1 -> 9 [size =\"44777472\"]\n  2 [size=\"66318336\", alpha=\"0.18\", expect_size=\"33159168\"] \n  2 -> 7 [size =\"33159168\"]\n  2 -> 9 [size =\"33159168\"]\n  3 [size=\"21581824\", alpha=\"0.02\", expect_size=\"10790912\"] \n  4 [size=\"19148800\", alpha=\"0.07\", expect_size=\"9574400\"] \n  4 -> 6 [size =\"9574400\"]\n  5 [size=\"54272000\", alpha=\"0.10\", expect_size=\"27136000\"] \n  5 -> 6 [size =\"27136000\"]\n  5 -> 9 [size =\"27136000\"]\n  6 [size=\"51175424\", alpha=\"0.04\", expect_size=\"25587712\"] \n  6 -> 10 [size =\"25587712\"]\n  7 [size=\"50642944\", alpha=\"0.13\", expect_size=\"25321472\"] \n  8 [size=\"87560192\", alpha=\"0.05\", expect_size=\"43780096\"] \n  9 [size=\"89823232\", alpha=\"0.17\", expect_size=\"44911616\"] \n  9 -> 10 [size =\"44911616\"]\n  10 [size=\"52797440\", alpha=\"0.19\", expect_size=\"26398720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69570560\", alpha=\"0.17\", expect_size=\"27828224\"] \n  1 -> 5 [size =\"27828224\"]\n  1 -> 6 [size =\"27828224\"]\n  1 -> 7 [size =\"27828224\"]\n  1 -> 8 [size =\"27828224\"]\n  2 [size=\"109166080\", alpha=\"0.11\", expect_size=\"43666432\"] \n  2 -> 5 [size =\"43666432\"]\n  2 -> 6 [size =\"43666432\"]\n  2 -> 8 [size =\"43666432\"]\n  3 [size=\"106014720\", alpha=\"0.09\", expect_size=\"42405888\"] \n  3 -> 6 [size =\"42405888\"]\n  3 -> 7 [size =\"42405888\"]\n  3 -> 8 [size =\"42405888\"]\n  4 [size=\"59714560\", alpha=\"0.07\", expect_size=\"23885824\"] \n  4 -> 6 [size =\"23885824\"]\n  4 -> 7 [size =\"23885824\"]\n  5 [size=\"58393600\", alpha=\"0.11\", expect_size=\"23357440\"] \n  5 -> 9 [size =\"23357440\"]\n  5 -> 10 [size =\"23357440\"]\n  6 [size=\"109632000\", alpha=\"0.17\", expect_size=\"43852800\"] \n  6 -> 9 [size =\"43852800\"]\n  6 -> 10 [size =\"43852800\"]\n  7 [size=\"76162560\", alpha=\"0.08\", expect_size=\"30465024\"] \n  7 -> 9 [size =\"30465024\"]\n  7 -> 10 [size =\"30465024\"]\n  8 [size=\"45698560\", alpha=\"0.04\", expect_size=\"18279424\"] \n  8 -> 9 [size =\"18279424\"]\n  8 -> 10 [size =\"18279424\"]\n  9 [size=\"99425280\", alpha=\"0.10\", expect_size=\"39770112\"] \n  10 [size=\"34337280\", alpha=\"0.18\", expect_size=\"13734912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21899264\", alpha=\"0.05\", expect_size=\"10949632\"] \n  1 -> 6 [size =\"10949632\"]\n  1 -> 8 [size =\"10949632\"]\n  2 [size=\"61347840\", alpha=\"0.03\", expect_size=\"30673920\"] \n  2 -> 6 [size =\"30673920\"]\n  2 -> 8 [size =\"30673920\"]\n  2 -> 9 [size =\"30673920\"]\n  3 [size=\"53917696\", alpha=\"0.05\", expect_size=\"26958848\"] \n  3 -> 5 [size =\"26958848\"]\n  3 -> 6 [size =\"26958848\"]\n  3 -> 7 [size =\"26958848\"]\n  3 -> 9 [size =\"26958848\"]\n  4 [size=\"76720128\", alpha=\"0.17\", expect_size=\"38360064\"] \n  4 -> 9 [size =\"38360064\"]\n  5 [size=\"39587840\", alpha=\"0.11\", expect_size=\"19793920\"] \n  6 [size=\"30425088\", alpha=\"0.10\", expect_size=\"15212544\"] \n  6 -> 10 [size =\"15212544\"]\n  7 [size=\"24762368\", alpha=\"0.03\", expect_size=\"12381184\"] \n  7 -> 10 [size =\"12381184\"]\n  8 [size=\"80867328\", alpha=\"0.02\", expect_size=\"40433664\"] \n  8 -> 10 [size =\"40433664\"]\n  9 [size=\"70457344\", alpha=\"0.03\", expect_size=\"35228672\"] \n  10 [size=\"50843648\", alpha=\"0.18\", expect_size=\"25421824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79624192\", alpha=\"0.00\", expect_size=\"39812096\"] \n  1 -> 2 [size =\"39812096\"]\n  2 [size=\"94656512\", alpha=\"0.04\", expect_size=\"47328256\"] \n  2 -> 3 [size =\"47328256\"]\n  3 [size=\"33243136\", alpha=\"0.12\", expect_size=\"16621568\"] \n  3 -> 4 [size =\"16621568\"]\n  4 [size=\"74938368\", alpha=\"0.15\", expect_size=\"37469184\"] \n  4 -> 5 [size =\"37469184\"]\n  5 [size=\"14198784\", alpha=\"0.04\", expect_size=\"7099392\"] \n  5 -> 6 [size =\"7099392\"]\n  6 [size=\"101937152\", alpha=\"0.10\", expect_size=\"50968576\"] \n  6 -> 7 [size =\"50968576\"]\n  7 [size=\"18857984\", alpha=\"0.03\", expect_size=\"9428992\"] \n  7 -> 8 [size =\"9428992\"]\n  8 [size=\"91248640\", alpha=\"0.15\", expect_size=\"45624320\"] \n  8 -> 9 [size =\"45624320\"]\n  9 [size=\"21372928\", alpha=\"0.10\", expect_size=\"10686464\"] \n  9 -> 10 [size =\"10686464\"]\n  10 [size=\"92999680\", alpha=\"0.05\", expect_size=\"46499840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33673216\", alpha=\"0.16\", expect_size=\"16836608\"] \n  1 -> 2 [size =\"16836608\"]\n  2 [size=\"56604672\", alpha=\"0.13\", expect_size=\"28302336\"] \n  2 -> 3 [size =\"28302336\"]\n  3 [size=\"66783232\", alpha=\"0.09\", expect_size=\"33391616\"] \n  3 -> 4 [size =\"33391616\"]\n  4 [size=\"104630272\", alpha=\"0.07\", expect_size=\"52315136\"] \n  4 -> 5 [size =\"52315136\"]\n  5 [size=\"51484672\", alpha=\"0.13\", expect_size=\"25742336\"] \n  5 -> 6 [size =\"25742336\"]\n  6 [size=\"96872448\", alpha=\"0.18\", expect_size=\"48436224\"] \n  6 -> 7 [size =\"48436224\"]\n  7 [size=\"34961408\", alpha=\"0.17\", expect_size=\"17480704\"] \n  7 -> 8 [size =\"17480704\"]\n  8 [size=\"80371712\", alpha=\"0.02\", expect_size=\"40185856\"] \n  8 -> 9 [size =\"40185856\"]\n  9 [size=\"23425024\", alpha=\"0.05\", expect_size=\"11712512\"] \n  9 -> 10 [size =\"11712512\"]\n  10 [size=\"68448256\", alpha=\"0.02\", expect_size=\"34224128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137680213\", alpha=\"0.12\", expect_size=\"41304064\"] \n  1 -> 2 [size =\"41304064\"]\n  2 [size=\"110547627\", alpha=\"0.01\", expect_size=\"33164288\"] \n  2 -> 3 [size =\"33164288\"]\n  3 [size=\"168345600\", alpha=\"0.07\", expect_size=\"50503680\"] \n  3 -> 4 [size =\"50503680\"]\n  4 [size=\"67921920\", alpha=\"0.19\", expect_size=\"20376576\"] \n  4 -> 5 [size =\"20376576\"]\n  5 [size=\"70894933\", alpha=\"0.12\", expect_size=\"21268480\"] \n  5 -> 6 [size =\"21268480\"]\n  6 [size=\"76260693\", alpha=\"0.16\", expect_size=\"22878208\"] \n  6 -> 7 [size =\"22878208\"]\n  7 [size=\"87394987\", alpha=\"0.12\", expect_size=\"26218496\"] \n  7 -> 8 [size =\"26218496\"]\n  8 [size=\"39970133\", alpha=\"0.19\", expect_size=\"11991040\"] \n  8 -> 9 [size =\"11991040\"]\n  9 [size=\"45888853\", alpha=\"0.10\", expect_size=\"13766656\"] \n  9 -> 10 [size =\"13766656\"]\n  10 [size=\"156043947\", alpha=\"0.10\", expect_size=\"46813184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101799253\", alpha=\"0.14\", expect_size=\"30539776\"] \n  1 -> 3 [size =\"30539776\"]\n  1 -> 4 [size =\"30539776\"]\n  1 -> 5 [size =\"30539776\"]\n  2 [size=\"109144747\", alpha=\"0.16\", expect_size=\"32743424\"] \n  2 -> 3 [size =\"32743424\"]\n  2 -> 5 [size =\"32743424\"]\n  3 [size=\"25852587\", alpha=\"0.04\", expect_size=\"7755776\"] \n  3 -> 6 [size =\"7755776\"]\n  3 -> 7 [size =\"7755776\"]\n  4 [size=\"58989227\", alpha=\"0.17\", expect_size=\"17696768\"] \n  4 -> 6 [size =\"17696768\"]\n  4 -> 7 [size =\"17696768\"]\n  5 [size=\"124303360\", alpha=\"0.03\", expect_size=\"37291008\"] \n  5 -> 6 [size =\"37291008\"]\n  5 -> 7 [size =\"37291008\"]\n  6 [size=\"26101760\", alpha=\"0.05\", expect_size=\"7830528\"] \n  7 [size=\"34266453\", alpha=\"0.17\", expect_size=\"10279936\"] \n  7 -> 8 [size =\"10279936\"]\n  7 -> 9 [size =\"10279936\"]\n  8 [size=\"142336000\", alpha=\"0.03\", expect_size=\"42700800\"] \n  8 -> 10 [size =\"42700800\"]\n  9 [size=\"39751680\", alpha=\"0.11\", expect_size=\"11925504\"] \n  9 -> 10 [size =\"11925504\"]\n  10 [size=\"127180800\", alpha=\"0.15\", expect_size=\"38154240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91400192\", alpha=\"0.10\", expect_size=\"45700096\"] \n  1 -> 8 [size =\"45700096\"]\n  1 -> 9 [size =\"45700096\"]\n  2 [size=\"32632832\", alpha=\"0.11\", expect_size=\"16316416\"] \n  2 -> 10 [size =\"16316416\"]\n  3 [size=\"79069184\", alpha=\"0.01\", expect_size=\"39534592\"] \n  3 -> 10 [size =\"39534592\"]\n  4 [size=\"28956672\", alpha=\"0.04\", expect_size=\"14478336\"] \n  4 -> 8 [size =\"14478336\"]\n  4 -> 9 [size =\"14478336\"]\n  5 [size=\"51527680\", alpha=\"0.05\", expect_size=\"25763840\"] \n  6 [size=\"104595456\", alpha=\"0.06\", expect_size=\"52297728\"] \n  6 -> 8 [size =\"52297728\"]\n  7 [size=\"55250944\", alpha=\"0.19\", expect_size=\"27625472\"] \n  7 -> 8 [size =\"27625472\"]\n  7 -> 10 [size =\"27625472\"]\n  8 [size=\"32174080\", alpha=\"0.09\", expect_size=\"16087040\"] \n  9 [size=\"32430080\", alpha=\"0.17\", expect_size=\"16215040\"] \n  10 [size=\"20492288\", alpha=\"0.07\", expect_size=\"10246144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50951680\", alpha=\"0.10\", expect_size=\"20380672\"] \n  1 -> 4 [size =\"20380672\"]\n  1 -> 5 [size =\"20380672\"]\n  1 -> 6 [size =\"20380672\"]\n  1 -> 7 [size =\"20380672\"]\n  1 -> 8 [size =\"20380672\"]\n  1 -> 9 [size =\"20380672\"]\n  2 [size=\"30522880\", alpha=\"0.14\", expect_size=\"12209152\"] \n  2 -> 4 [size =\"12209152\"]\n  2 -> 5 [size =\"12209152\"]\n  2 -> 8 [size =\"12209152\"]\n  2 -> 9 [size =\"12209152\"]\n  3 [size=\"49085440\", alpha=\"0.08\", expect_size=\"19634176\"] \n  3 -> 4 [size =\"19634176\"]\n  3 -> 6 [size =\"19634176\"]\n  3 -> 8 [size =\"19634176\"]\n  3 -> 9 [size =\"19634176\"]\n  4 [size=\"97164800\", alpha=\"0.15\", expect_size=\"38865920\"] \n  4 -> 10 [size =\"38865920\"]\n  5 [size=\"60505600\", alpha=\"0.04\", expect_size=\"24202240\"] \n  5 -> 10 [size =\"24202240\"]\n  6 [size=\"88637440\", alpha=\"0.14\", expect_size=\"35454976\"] \n  7 [size=\"94494720\", alpha=\"0.17\", expect_size=\"37797888\"] \n  7 -> 10 [size =\"37797888\"]\n  8 [size=\"76508160\", alpha=\"0.14\", expect_size=\"30603264\"] \n  9 [size=\"23170560\", alpha=\"0.05\", expect_size=\"9268224\"] \n  9 -> 10 [size =\"9268224\"]\n  10 [size=\"81702400\", alpha=\"0.03\", expect_size=\"32680960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68171093\", alpha=\"0.10\", expect_size=\"20451328\"] \n  1 -> 2 [size =\"20451328\"]\n  2 [size=\"81005227\", alpha=\"0.16\", expect_size=\"24301568\"] \n  2 -> 3 [size =\"24301568\"]\n  3 [size=\"104089600\", alpha=\"0.10\", expect_size=\"31226880\"] \n  3 -> 4 [size =\"31226880\"]\n  4 [size=\"63706453\", alpha=\"0.06\", expect_size=\"19111936\"] \n  4 -> 5 [size =\"19111936\"]\n  5 [size=\"105400320\", alpha=\"0.10\", expect_size=\"31620096\"] \n  5 -> 6 [size =\"31620096\"]\n  6 [size=\"135816533\", alpha=\"0.09\", expect_size=\"40744960\"] \n  6 -> 7 [size =\"40744960\"]\n  7 [size=\"96549547\", alpha=\"0.06\", expect_size=\"28964864\"] \n  7 -> 8 [size =\"28964864\"]\n  8 [size=\"72755200\", alpha=\"0.09\", expect_size=\"21826560\"] \n  8 -> 9 [size =\"21826560\"]\n  9 [size=\"66164053\", alpha=\"0.07\", expect_size=\"19849216\"] \n  9 -> 10 [size =\"19849216\"]\n  10 [size=\"45107200\", alpha=\"0.13\", expect_size=\"13532160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57610240\", alpha=\"0.16\", expect_size=\"17283072\"] \n  1 -> 8 [size =\"17283072\"]\n  1 -> 9 [size =\"17283072\"]\n  1 -> 10 [size =\"17283072\"]\n  2 [size=\"74741760\", alpha=\"0.09\", expect_size=\"22422528\"] \n  2 -> 8 [size =\"22422528\"]\n  2 -> 10 [size =\"22422528\"]\n  3 [size=\"162092373\", alpha=\"0.07\", expect_size=\"48627712\"] \n  3 -> 8 [size =\"48627712\"]\n  4 [size=\"100700160\", alpha=\"0.00\", expect_size=\"30210048\"] \n  4 -> 8 [size =\"30210048\"]\n  5 [size=\"51920213\", alpha=\"0.18\", expect_size=\"15576064\"] \n  5 -> 9 [size =\"15576064\"]\n  6 [size=\"138803200\", alpha=\"0.13\", expect_size=\"41640960\"] \n  6 -> 9 [size =\"41640960\"]\n  6 -> 10 [size =\"41640960\"]\n  7 [size=\"174281387\", alpha=\"0.20\", expect_size=\"52284416\"] \n  7 -> 10 [size =\"52284416\"]\n  8 [size=\"150070613\", alpha=\"0.15\", expect_size=\"45021184\"] \n  9 [size=\"106164907\", alpha=\"0.14\", expect_size=\"31849472\"] \n  10 [size=\"102150827\", alpha=\"0.06\", expect_size=\"30645248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91356160\", alpha=\"0.16\", expect_size=\"36542464\"] \n  1 -> 4 [size =\"36542464\"]\n  1 -> 5 [size =\"36542464\"]\n  1 -> 6 [size =\"36542464\"]\n  2 [size=\"78904320\", alpha=\"0.06\", expect_size=\"31561728\"] \n  2 -> 5 [size =\"31561728\"]\n  2 -> 6 [size =\"31561728\"]\n  3 [size=\"55959040\", alpha=\"0.02\", expect_size=\"22383616\"] \n  3 -> 5 [size =\"22383616\"]\n  4 [size=\"85588480\", alpha=\"0.13\", expect_size=\"34235392\"] \n  4 -> 7 [size =\"34235392\"]\n  4 -> 9 [size =\"34235392\"]\n  5 [size=\"105226240\", alpha=\"0.16\", expect_size=\"42090496\"] \n  5 -> 7 [size =\"42090496\"]\n  5 -> 8 [size =\"42090496\"]\n  5 -> 9 [size =\"42090496\"]\n  6 [size=\"124638720\", alpha=\"0.00\", expect_size=\"49855488\"] \n  6 -> 7 [size =\"49855488\"]\n  6 -> 8 [size =\"49855488\"]\n  6 -> 9 [size =\"49855488\"]\n  7 [size=\"57320960\", alpha=\"0.18\", expect_size=\"22928384\"] \n  8 [size=\"33687040\", alpha=\"0.05\", expect_size=\"13474816\"] \n  9 [size=\"116672000\", alpha=\"0.05\", expect_size=\"46668800\"] \n  9 -> 10 [size =\"46668800\"]\n  10 [size=\"90992640\", alpha=\"0.02\", expect_size=\"36397056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101168640\", alpha=\"0.13\", expect_size=\"40467456\"] \n  1 -> 3 [size =\"40467456\"]\n  1 -> 4 [size =\"40467456\"]\n  2 [size=\"29665280\", alpha=\"0.08\", expect_size=\"11866112\"] \n  2 -> 4 [size =\"11866112\"]\n  3 [size=\"92792320\", alpha=\"0.04\", expect_size=\"37116928\"] \n  3 -> 5 [size =\"37116928\"]\n  3 -> 6 [size =\"37116928\"]\n  3 -> 7 [size =\"37116928\"]\n  4 [size=\"93798400\", alpha=\"0.03\", expect_size=\"37519360\"] \n  4 -> 5 [size =\"37519360\"]\n  4 -> 7 [size =\"37519360\"]\n  5 [size=\"110653440\", alpha=\"0.06\", expect_size=\"44261376\"] \n  5 -> 8 [size =\"44261376\"]\n  6 [size=\"105676800\", alpha=\"0.16\", expect_size=\"42270720\"] \n  6 -> 8 [size =\"42270720\"]\n  7 [size=\"51532800\", alpha=\"0.03\", expect_size=\"20613120\"] \n  7 -> 8 [size =\"20613120\"]\n  7 -> 9 [size =\"20613120\"]\n  8 [size=\"119411200\", alpha=\"0.02\", expect_size=\"47764480\"] \n  8 -> 10 [size =\"47764480\"]\n  9 [size=\"47552000\", alpha=\"0.02\", expect_size=\"19020800\"] \n  9 -> 10 [size =\"19020800\"]\n  10 [size=\"69895680\", alpha=\"0.09\", expect_size=\"27958272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74592256\", alpha=\"0.05\", expect_size=\"37296128\"] \n  1 -> 3 [size =\"37296128\"]\n  2 [size=\"33218560\", alpha=\"0.18\", expect_size=\"16609280\"] \n  2 -> 3 [size =\"16609280\"]\n  3 [size=\"103622656\", alpha=\"0.16\", expect_size=\"51811328\"] \n  3 -> 4 [size =\"51811328\"]\n  3 -> 5 [size =\"51811328\"]\n  3 -> 6 [size =\"51811328\"]\n  4 [size=\"72073216\", alpha=\"0.20\", expect_size=\"36036608\"] \n  4 -> 9 [size =\"36036608\"]\n  5 [size=\"42395648\", alpha=\"0.12\", expect_size=\"21197824\"] \n  5 -> 8 [size =\"21197824\"]\n  6 [size=\"96260096\", alpha=\"0.03\", expect_size=\"48130048\"] \n  6 -> 7 [size =\"48130048\"]\n  6 -> 9 [size =\"48130048\"]\n  7 [size=\"14600192\", alpha=\"0.12\", expect_size=\"7300096\"] \n  7 -> 10 [size =\"7300096\"]\n  8 [size=\"38012928\", alpha=\"0.05\", expect_size=\"19006464\"] \n  9 [size=\"46833664\", alpha=\"0.09\", expect_size=\"23416832\"] \n  10 [size=\"47677440\", alpha=\"0.19\", expect_size=\"23838720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42605227\", alpha=\"0.02\", expect_size=\"12781568\"] \n  1 -> 8 [size =\"12781568\"]\n  2 [size=\"92514987\", alpha=\"0.07\", expect_size=\"27754496\"] \n  2 -> 5 [size =\"27754496\"]\n  2 -> 6 [size =\"27754496\"]\n  2 -> 8 [size =\"27754496\"]\n  3 [size=\"67457707\", alpha=\"0.16\", expect_size=\"20237312\"] \n  3 -> 5 [size =\"20237312\"]\n  4 [size=\"99956053\", alpha=\"0.03\", expect_size=\"29986816\"] \n  4 -> 7 [size =\"29986816\"]\n  5 [size=\"161061547\", alpha=\"0.17\", expect_size=\"48318464\"] \n  5 -> 9 [size =\"48318464\"]\n  5 -> 10 [size =\"48318464\"]\n  6 [size=\"167540053\", alpha=\"0.11\", expect_size=\"50262016\"] \n  6 -> 9 [size =\"50262016\"]\n  7 [size=\"70222507\", alpha=\"0.16\", expect_size=\"21066752\"] \n  8 [size=\"141182293\", alpha=\"0.14\", expect_size=\"42354688\"] \n  9 [size=\"84183040\", alpha=\"0.11\", expect_size=\"25254912\"] \n  10 [size=\"90630827\", alpha=\"0.07\", expect_size=\"27189248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28866560\", alpha=\"0.14\", expect_size=\"11546624\"] \n  1 -> 5 [size =\"11546624\"]\n  2 [size=\"62138880\", alpha=\"0.10\", expect_size=\"24855552\"] \n  2 -> 4 [size =\"24855552\"]\n  3 [size=\"123563520\", alpha=\"0.17\", expect_size=\"49425408\"] \n  3 -> 4 [size =\"49425408\"]\n  4 [size=\"16133120\", alpha=\"0.07\", expect_size=\"6453248\"] \n  5 [size=\"40304640\", alpha=\"0.17\", expect_size=\"16121856\"] \n  5 -> 6 [size =\"16121856\"]\n  5 -> 7 [size =\"16121856\"]\n  6 [size=\"100034560\", alpha=\"0.09\", expect_size=\"40013824\"] \n  6 -> 10 [size =\"40013824\"]\n  7 [size=\"71388160\", alpha=\"0.05\", expect_size=\"28555264\"] \n  7 -> 8 [size =\"28555264\"]\n  7 -> 9 [size =\"28555264\"]\n  7 -> 10 [size =\"28555264\"]\n  8 [size=\"72773120\", alpha=\"0.16\", expect_size=\"29109248\"] \n  9 [size=\"85701120\", alpha=\"0.04\", expect_size=\"34280448\"] \n  10 [size=\"44377600\", alpha=\"0.10\", expect_size=\"17751040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52570112\", alpha=\"0.00\", expect_size=\"26285056\"] \n  1 -> 3 [size =\"26285056\"]\n  1 -> 5 [size =\"26285056\"]\n  1 -> 6 [size =\"26285056\"]\n  2 [size=\"50870272\", alpha=\"0.12\", expect_size=\"25435136\"] \n  2 -> 3 [size =\"25435136\"]\n  2 -> 4 [size =\"25435136\"]\n  2 -> 5 [size =\"25435136\"]\n  2 -> 6 [size =\"25435136\"]\n  3 [size=\"26003456\", alpha=\"0.19\", expect_size=\"13001728\"] \n  3 -> 7 [size =\"13001728\"]\n  3 -> 8 [size =\"13001728\"]\n  4 [size=\"70795264\", alpha=\"0.12\", expect_size=\"35397632\"] \n  5 [size=\"82446336\", alpha=\"0.19\", expect_size=\"41223168\"] \n  5 -> 8 [size =\"41223168\"]\n  5 -> 9 [size =\"41223168\"]\n  6 [size=\"80336896\", alpha=\"0.17\", expect_size=\"40168448\"] \n  6 -> 7 [size =\"40168448\"]\n  6 -> 9 [size =\"40168448\"]\n  6 -> 10 [size =\"40168448\"]\n  7 [size=\"64079872\", alpha=\"0.16\", expect_size=\"32039936\"] \n  8 [size=\"78747648\", alpha=\"0.12\", expect_size=\"39373824\"] \n  9 [size=\"31981568\", alpha=\"0.06\", expect_size=\"15990784\"] \n  10 [size=\"100573184\", alpha=\"0.06\", expect_size=\"50286592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66496000\", alpha=\"0.02\", expect_size=\"26598400\"] \n  1 -> 2 [size =\"26598400\"]\n  1 -> 3 [size =\"26598400\"]\n  2 [size=\"94827520\", alpha=\"0.10\", expect_size=\"37931008\"] \n  2 -> 4 [size =\"37931008\"]\n  2 -> 5 [size =\"37931008\"]\n  2 -> 6 [size =\"37931008\"]\n  3 [size=\"106485760\", alpha=\"0.15\", expect_size=\"42594304\"] \n  3 -> 6 [size =\"42594304\"]\n  3 -> 7 [size =\"42594304\"]\n  4 [size=\"24524800\", alpha=\"0.19\", expect_size=\"9809920\"] \n  5 [size=\"127042560\", alpha=\"0.08\", expect_size=\"50817024\"] \n  6 [size=\"13591040\", alpha=\"0.16\", expect_size=\"5436416\"] \n  6 -> 8 [size =\"5436416\"]\n  7 [size=\"16901120\", alpha=\"0.19\", expect_size=\"6760448\"] \n  8 [size=\"71316480\", alpha=\"0.10\", expect_size=\"28526592\"] \n  8 -> 9 [size =\"28526592\"]\n  8 -> 10 [size =\"28526592\"]\n  9 [size=\"63165440\", alpha=\"0.12\", expect_size=\"25266176\"] \n  10 [size=\"100851200\", alpha=\"0.14\", expect_size=\"40340480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169192107\", alpha=\"0.18\", expect_size=\"50757632\"] \n  1 -> 8 [size =\"50757632\"]\n  2 [size=\"124221440\", alpha=\"0.03\", expect_size=\"37266432\"] \n  3 [size=\"71058773\", alpha=\"0.12\", expect_size=\"21317632\"] \n  4 [size=\"21118293\", alpha=\"0.07\", expect_size=\"6335488\"] \n  4 -> 9 [size =\"6335488\"]\n  5 [size=\"162587307\", alpha=\"0.02\", expect_size=\"48776192\"] \n  6 [size=\"22388053\", alpha=\"0.03\", expect_size=\"6716416\"] \n  6 -> 8 [size =\"6716416\"]\n  6 -> 9 [size =\"6716416\"]\n  7 [size=\"37249707\", alpha=\"0.07\", expect_size=\"11174912\"] \n  7 -> 10 [size =\"11174912\"]\n  8 [size=\"171625813\", alpha=\"0.08\", expect_size=\"51487744\"] \n  9 [size=\"42905600\", alpha=\"0.00\", expect_size=\"12871680\"] \n  10 [size=\"56040107\", alpha=\"0.15\", expect_size=\"16812032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24276480\", alpha=\"0.15\", expect_size=\"9710592\"] \n  1 -> 7 [size =\"9710592\"]\n  1 -> 9 [size =\"9710592\"]\n  2 [size=\"118548480\", alpha=\"0.14\", expect_size=\"47419392\"] \n  2 -> 7 [size =\"47419392\"]\n  2 -> 8 [size =\"47419392\"]\n  2 -> 9 [size =\"47419392\"]\n  2 -> 10 [size =\"47419392\"]\n  3 [size=\"107860480\", alpha=\"0.20\", expect_size=\"43144192\"] \n  3 -> 7 [size =\"43144192\"]\n  3 -> 9 [size =\"43144192\"]\n  4 [size=\"85614080\", alpha=\"0.17\", expect_size=\"34245632\"] \n  4 -> 9 [size =\"34245632\"]\n  5 [size=\"81402880\", alpha=\"0.16\", expect_size=\"32561152\"] \n  5 -> 9 [size =\"32561152\"]\n  5 -> 10 [size =\"32561152\"]\n  6 [size=\"71244800\", alpha=\"0.14\", expect_size=\"28497920\"] \n  6 -> 9 [size =\"28497920\"]\n  7 [size=\"30397440\", alpha=\"0.14\", expect_size=\"12158976\"] \n  8 [size=\"45096960\", alpha=\"0.08\", expect_size=\"18038784\"] \n  9 [size=\"120268800\", alpha=\"0.04\", expect_size=\"48107520\"] \n  10 [size=\"18498560\", alpha=\"0.20\", expect_size=\"7399424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20531200\", alpha=\"0.02\", expect_size=\"10265600\"] \n  1 -> 3 [size =\"10265600\"]\n  1 -> 4 [size =\"10265600\"]\n  1 -> 6 [size =\"10265600\"]\n  2 [size=\"36587520\", alpha=\"0.13\", expect_size=\"18293760\"] \n  2 -> 5 [size =\"18293760\"]\n  3 [size=\"58892288\", alpha=\"0.01\", expect_size=\"29446144\"] \n  3 -> 8 [size =\"29446144\"]\n  4 [size=\"52088832\", alpha=\"0.00\", expect_size=\"26044416\"] \n  4 -> 7 [size =\"26044416\"]\n  5 [size=\"75094016\", alpha=\"0.08\", expect_size=\"37547008\"] \n  5 -> 8 [size =\"37547008\"]\n  6 [size=\"60790784\", alpha=\"0.18\", expect_size=\"30395392\"] \n  6 -> 7 [size =\"30395392\"]\n  6 -> 8 [size =\"30395392\"]\n  6 -> 9 [size =\"30395392\"]\n  7 [size=\"21641216\", alpha=\"0.02\", expect_size=\"10820608\"] \n  8 [size=\"42766336\", alpha=\"0.18\", expect_size=\"21383168\"] \n  8 -> 10 [size =\"21383168\"]\n  9 [size=\"91406336\", alpha=\"0.13\", expect_size=\"45703168\"] \n  10 [size=\"92962816\", alpha=\"0.16\", expect_size=\"46481408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86548480\", alpha=\"0.20\", expect_size=\"43274240\"] \n  1 -> 7 [size =\"43274240\"]\n  2 [size=\"83908608\", alpha=\"0.07\", expect_size=\"41954304\"] \n  2 -> 9 [size =\"41954304\"]\n  3 [size=\"60151808\", alpha=\"0.01\", expect_size=\"30075904\"] \n  3 -> 8 [size =\"30075904\"]\n  3 -> 9 [size =\"30075904\"]\n  4 [size=\"82546688\", alpha=\"0.01\", expect_size=\"41273344\"] \n  4 -> 10 [size =\"41273344\"]\n  5 [size=\"14927872\", alpha=\"0.01\", expect_size=\"7463936\"] \n  5 -> 10 [size =\"7463936\"]\n  6 [size=\"62586880\", alpha=\"0.07\", expect_size=\"31293440\"] \n  7 [size=\"99080192\", alpha=\"0.01\", expect_size=\"49540096\"] \n  8 [size=\"34942976\", alpha=\"0.06\", expect_size=\"17471488\"] \n  9 [size=\"34258944\", alpha=\"0.11\", expect_size=\"17129472\"] \n  10 [size=\"86611968\", alpha=\"0.16\", expect_size=\"43305984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77757440\", alpha=\"0.03\", expect_size=\"31102976\"] \n  1 -> 2 [size =\"31102976\"]\n  2 [size=\"89187840\", alpha=\"0.07\", expect_size=\"35675136\"] \n  2 -> 3 [size =\"35675136\"]\n  3 [size=\"61222400\", alpha=\"0.13\", expect_size=\"24488960\"] \n  3 -> 4 [size =\"24488960\"]\n  4 [size=\"92984320\", alpha=\"0.12\", expect_size=\"37193728\"] \n  4 -> 5 [size =\"37193728\"]\n  5 [size=\"63383040\", alpha=\"0.10\", expect_size=\"25353216\"] \n  5 -> 6 [size =\"25353216\"]\n  6 [size=\"43320320\", alpha=\"0.13\", expect_size=\"17328128\"] \n  6 -> 7 [size =\"17328128\"]\n  7 [size=\"39608320\", alpha=\"0.12\", expect_size=\"15843328\"] \n  7 -> 8 [size =\"15843328\"]\n  8 [size=\"33743360\", alpha=\"0.10\", expect_size=\"13497344\"] \n  8 -> 9 [size =\"13497344\"]\n  9 [size=\"109411840\", alpha=\"0.14\", expect_size=\"43764736\"] \n  9 -> 10 [size =\"43764736\"]\n  10 [size=\"54164480\", alpha=\"0.07\", expect_size=\"21665792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58865664\", alpha=\"0.14\", expect_size=\"29432832\"] \n  2 [size=\"25260032\", alpha=\"0.11\", expect_size=\"12630016\"] \n  2 -> 7 [size =\"12630016\"]\n  2 -> 8 [size =\"12630016\"]\n  3 [size=\"33372160\", alpha=\"0.01\", expect_size=\"16686080\"] \n  4 [size=\"95821824\", alpha=\"0.05\", expect_size=\"47910912\"] \n  4 -> 7 [size =\"47910912\"]\n  4 -> 9 [size =\"47910912\"]\n  4 -> 10 [size =\"47910912\"]\n  5 [size=\"58152960\", alpha=\"0.05\", expect_size=\"29076480\"] \n  5 -> 7 [size =\"29076480\"]\n  5 -> 9 [size =\"29076480\"]\n  5 -> 10 [size =\"29076480\"]\n  6 [size=\"19826688\", alpha=\"0.20\", expect_size=\"9913344\"] \n  7 [size=\"78047232\", alpha=\"0.17\", expect_size=\"39023616\"] \n  8 [size=\"32069632\", alpha=\"0.14\", expect_size=\"16034816\"] \n  9 [size=\"64548864\", alpha=\"0.18\", expect_size=\"32274432\"] \n  10 [size=\"61454336\", alpha=\"0.01\", expect_size=\"30727168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66406400\", alpha=\"0.05\", expect_size=\"33203200\"] \n  1 -> 2 [size =\"33203200\"]\n  2 [size=\"44455936\", alpha=\"0.14\", expect_size=\"22227968\"] \n  2 -> 3 [size =\"22227968\"]\n  3 [size=\"71241728\", alpha=\"0.09\", expect_size=\"35620864\"] \n  3 -> 4 [size =\"35620864\"]\n  4 [size=\"89370624\", alpha=\"0.17\", expect_size=\"44685312\"] \n  4 -> 5 [size =\"44685312\"]\n  5 [size=\"81369088\", alpha=\"0.09\", expect_size=\"40684544\"] \n  5 -> 6 [size =\"40684544\"]\n  6 [size=\"75575296\", alpha=\"0.09\", expect_size=\"37787648\"] \n  6 -> 7 [size =\"37787648\"]\n  7 [size=\"21276672\", alpha=\"0.02\", expect_size=\"10638336\"] \n  7 -> 8 [size =\"10638336\"]\n  8 [size=\"10661888\", alpha=\"0.14\", expect_size=\"5330944\"] \n  8 -> 9 [size =\"5330944\"]\n  9 [size=\"98080768\", alpha=\"0.16\", expect_size=\"49040384\"] \n  9 -> 10 [size =\"49040384\"]\n  10 [size=\"96294912\", alpha=\"0.03\", expect_size=\"48147456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112779947\", alpha=\"0.01\", expect_size=\"33833984\"] \n  1 -> 2 [size =\"33833984\"]\n  2 [size=\"89323520\", alpha=\"0.12\", expect_size=\"26797056\"] \n  2 -> 3 [size =\"26797056\"]\n  3 [size=\"174585173\", alpha=\"0.16\", expect_size=\"52375552\"] \n  3 -> 4 [size =\"52375552\"]\n  4 [size=\"119668053\", alpha=\"0.08\", expect_size=\"35900416\"] \n  4 -> 5 [size =\"35900416\"]\n  5 [size=\"40250027\", alpha=\"0.08\", expect_size=\"12075008\"] \n  5 -> 6 [size =\"12075008\"]\n  6 [size=\"38522880\", alpha=\"0.17\", expect_size=\"11556864\"] \n  6 -> 7 [size =\"11556864\"]\n  7 [size=\"61784747\", alpha=\"0.06\", expect_size=\"18535424\"] \n  7 -> 8 [size =\"18535424\"]\n  8 [size=\"77571413\", alpha=\"0.10\", expect_size=\"23271424\"] \n  8 -> 9 [size =\"23271424\"]\n  9 [size=\"87285760\", alpha=\"0.11\", expect_size=\"26185728\"] \n  9 -> 10 [size =\"26185728\"]\n  10 [size=\"39680000\", alpha=\"0.00\", expect_size=\"11904000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87701504\", alpha=\"0.08\", expect_size=\"43850752\"] \n  1 -> 4 [size =\"43850752\"]\n  2 [size=\"40781824\", alpha=\"0.04\", expect_size=\"20390912\"] \n  2 -> 3 [size =\"20390912\"]\n  3 [size=\"70092800\", alpha=\"0.17\", expect_size=\"35046400\"] \n  3 -> 5 [size =\"35046400\"]\n  3 -> 7 [size =\"35046400\"]\n  4 [size=\"16939008\", alpha=\"0.01\", expect_size=\"8469504\"] \n  4 -> 5 [size =\"8469504\"]\n  4 -> 6 [size =\"8469504\"]\n  4 -> 8 [size =\"8469504\"]\n  5 [size=\"45561856\", alpha=\"0.04\", expect_size=\"22780928\"] \n  5 -> 9 [size =\"22780928\"]\n  5 -> 10 [size =\"22780928\"]\n  6 [size=\"103428096\", alpha=\"0.01\", expect_size=\"51714048\"] \n  6 -> 10 [size =\"51714048\"]\n  7 [size=\"63719424\", alpha=\"0.07\", expect_size=\"31859712\"] \n  7 -> 9 [size =\"31859712\"]\n  7 -> 10 [size =\"31859712\"]\n  8 [size=\"20746240\", alpha=\"0.05\", expect_size=\"10373120\"] \n  8 -> 9 [size =\"10373120\"]\n  9 [size=\"103557120\", alpha=\"0.11\", expect_size=\"51778560\"] \n  10 [size=\"39464960\", alpha=\"0.08\", expect_size=\"19732480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99514368\", alpha=\"0.04\", expect_size=\"49757184\"] \n  1 -> 8 [size =\"49757184\"]\n  1 -> 10 [size =\"49757184\"]\n  2 [size=\"51496960\", alpha=\"0.18\", expect_size=\"25748480\"] \n  2 -> 9 [size =\"25748480\"]\n  3 [size=\"76564480\", alpha=\"0.13\", expect_size=\"38282240\"] \n  3 -> 9 [size =\"38282240\"]\n  4 [size=\"30869504\", alpha=\"0.04\", expect_size=\"15434752\"] \n  5 [size=\"53700608\", alpha=\"0.05\", expect_size=\"26850304\"] \n  5 -> 9 [size =\"26850304\"]\n  6 [size=\"80056320\", alpha=\"0.06\", expect_size=\"40028160\"] \n  7 [size=\"88231936\", alpha=\"0.10\", expect_size=\"44115968\"] \n  8 [size=\"79628288\", alpha=\"0.02\", expect_size=\"39814144\"] \n  9 [size=\"38152192\", alpha=\"0.14\", expect_size=\"19076096\"] \n  10 [size=\"20072448\", alpha=\"0.05\", expect_size=\"10036224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129768960\", alpha=\"0.17\", expect_size=\"51907584\"] \n  1 -> 5 [size =\"51907584\"]\n  1 -> 7 [size =\"51907584\"]\n  1 -> 8 [size =\"51907584\"]\n  1 -> 9 [size =\"51907584\"]\n  2 [size=\"115875840\", alpha=\"0.16\", expect_size=\"46350336\"] \n  2 -> 5 [size =\"46350336\"]\n  2 -> 6 [size =\"46350336\"]\n  2 -> 7 [size =\"46350336\"]\n  3 [size=\"75422720\", alpha=\"0.11\", expect_size=\"30169088\"] \n  3 -> 6 [size =\"30169088\"]\n  4 [size=\"127441920\", alpha=\"0.19\", expect_size=\"50976768\"] \n  4 -> 5 [size =\"50976768\"]\n  4 -> 6 [size =\"50976768\"]\n  4 -> 8 [size =\"50976768\"]\n  4 -> 9 [size =\"50976768\"]\n  5 [size=\"57500160\", alpha=\"0.05\", expect_size=\"23000064\"] \n  6 [size=\"130388480\", alpha=\"0.09\", expect_size=\"52155392\"] \n  7 [size=\"103424000\", alpha=\"0.19\", expect_size=\"41369600\"] \n  7 -> 10 [size =\"41369600\"]\n  8 [size=\"46195200\", alpha=\"0.14\", expect_size=\"18478080\"] \n  8 -> 10 [size =\"18478080\"]\n  9 [size=\"76362240\", alpha=\"0.14\", expect_size=\"30544896\"] \n  9 -> 10 [size =\"30544896\"]\n  10 [size=\"73955840\", alpha=\"0.06\", expect_size=\"29582336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19511296\", alpha=\"0.05\", expect_size=\"9755648\"] \n  1 -> 2 [size =\"9755648\"]\n  2 [size=\"97714176\", alpha=\"0.13\", expect_size=\"48857088\"] \n  2 -> 3 [size =\"48857088\"]\n  3 [size=\"102244352\", alpha=\"0.12\", expect_size=\"51122176\"] \n  3 -> 4 [size =\"51122176\"]\n  4 [size=\"54779904\", alpha=\"0.01\", expect_size=\"27389952\"] \n  4 -> 5 [size =\"27389952\"]\n  5 [size=\"35229696\", alpha=\"0.20\", expect_size=\"17614848\"] \n  5 -> 6 [size =\"17614848\"]\n  6 [size=\"90920960\", alpha=\"0.14\", expect_size=\"45460480\"] \n  6 -> 7 [size =\"45460480\"]\n  7 [size=\"28434432\", alpha=\"0.20\", expect_size=\"14217216\"] \n  7 -> 8 [size =\"14217216\"]\n  8 [size=\"69265408\", alpha=\"0.01\", expect_size=\"34632704\"] \n  8 -> 9 [size =\"34632704\"]\n  9 [size=\"103028736\", alpha=\"0.13\", expect_size=\"51514368\"] \n  9 -> 10 [size =\"51514368\"]\n  10 [size=\"44232704\", alpha=\"0.12\", expect_size=\"22116352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28246016\", alpha=\"0.05\", expect_size=\"14123008\"] \n  1 -> 2 [size =\"14123008\"]\n  2 [size=\"93427712\", alpha=\"0.16\", expect_size=\"46713856\"] \n  2 -> 3 [size =\"46713856\"]\n  3 [size=\"54020096\", alpha=\"0.07\", expect_size=\"27010048\"] \n  3 -> 4 [size =\"27010048\"]\n  4 [size=\"100708352\", alpha=\"0.07\", expect_size=\"50354176\"] \n  4 -> 5 [size =\"50354176\"]\n  5 [size=\"84215808\", alpha=\"0.15\", expect_size=\"42107904\"] \n  5 -> 6 [size =\"42107904\"]\n  6 [size=\"103440384\", alpha=\"0.08\", expect_size=\"51720192\"] \n  6 -> 7 [size =\"51720192\"]\n  7 [size=\"61620224\", alpha=\"0.05\", expect_size=\"30810112\"] \n  7 -> 8 [size =\"30810112\"]\n  8 [size=\"58873856\", alpha=\"0.18\", expect_size=\"29436928\"] \n  8 -> 9 [size =\"29436928\"]\n  9 [size=\"70830080\", alpha=\"0.14\", expect_size=\"35415040\"] \n  9 -> 10 [size =\"35415040\"]\n  10 [size=\"79347712\", alpha=\"0.02\", expect_size=\"39673856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34768896\", alpha=\"0.14\", expect_size=\"17384448\"] \n  1 -> 3 [size =\"17384448\"]\n  1 -> 4 [size =\"17384448\"]\n  2 [size=\"13369344\", alpha=\"0.14\", expect_size=\"6684672\"] \n  3 [size=\"27881472\", alpha=\"0.20\", expect_size=\"13940736\"] \n  3 -> 5 [size =\"13940736\"]\n  3 -> 6 [size =\"13940736\"]\n  3 -> 7 [size =\"13940736\"]\n  4 [size=\"48603136\", alpha=\"0.07\", expect_size=\"24301568\"] \n  5 [size=\"87726080\", alpha=\"0.16\", expect_size=\"43863040\"] \n  6 [size=\"34340864\", alpha=\"0.14\", expect_size=\"17170432\"] \n  6 -> 8 [size =\"17170432\"]\n  7 [size=\"53241856\", alpha=\"0.09\", expect_size=\"26620928\"] \n  7 -> 9 [size =\"26620928\"]\n  8 [size=\"61829120\", alpha=\"0.05\", expect_size=\"30914560\"] \n  8 -> 10 [size =\"30914560\"]\n  9 [size=\"102518784\", alpha=\"0.09\", expect_size=\"51259392\"] \n  10 [size=\"30414848\", alpha=\"0.14\", expect_size=\"15207424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55173120\", alpha=\"0.13\", expect_size=\"22069248\"] \n  2 [size=\"35699200\", alpha=\"0.05\", expect_size=\"14279680\"] \n  3 [size=\"28728320\", alpha=\"0.04\", expect_size=\"11491328\"] \n  4 [size=\"71738880\", alpha=\"0.12\", expect_size=\"28695552\"] \n  5 [size=\"57177600\", alpha=\"0.14\", expect_size=\"22871040\"] \n  6 [size=\"52101120\", alpha=\"0.02\", expect_size=\"20840448\"] \n  7 [size=\"116625920\", alpha=\"0.02\", expect_size=\"46650368\"] \n  7 -> 10 [size =\"46650368\"]\n  8 [size=\"92277760\", alpha=\"0.18\", expect_size=\"36911104\"] \n  9 [size=\"123335680\", alpha=\"0.08\", expect_size=\"49334272\"] \n  10 [size=\"21094400\", alpha=\"0.06\", expect_size=\"8437760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12943360\", alpha=\"0.15\", expect_size=\"6471680\"] \n  1 -> 2 [size =\"6471680\"]\n  1 -> 3 [size =\"6471680\"]\n  1 -> 4 [size =\"6471680\"]\n  1 -> 5 [size =\"6471680\"]\n  2 [size=\"44527616\", alpha=\"0.14\", expect_size=\"22263808\"] \n  2 -> 8 [size =\"22263808\"]\n  3 [size=\"80754688\", alpha=\"0.04\", expect_size=\"40377344\"] \n  3 -> 7 [size =\"40377344\"]\n  4 [size=\"28323840\", alpha=\"0.01\", expect_size=\"14161920\"] \n  5 [size=\"62431232\", alpha=\"0.11\", expect_size=\"31215616\"] \n  5 -> 6 [size =\"31215616\"]\n  5 -> 9 [size =\"31215616\"]\n  6 [size=\"50745344\", alpha=\"0.14\", expect_size=\"25372672\"] \n  6 -> 10 [size =\"25372672\"]\n  7 [size=\"57466880\", alpha=\"0.12\", expect_size=\"28733440\"] \n  8 [size=\"44529664\", alpha=\"0.12\", expect_size=\"22264832\"] \n  9 [size=\"66852864\", alpha=\"0.19\", expect_size=\"33426432\"] \n  9 -> 10 [size =\"33426432\"]\n  10 [size=\"78325760\", alpha=\"0.18\", expect_size=\"39162880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81405440\", alpha=\"0.19\", expect_size=\"32562176\"] \n  1 -> 4 [size =\"32562176\"]\n  2 [size=\"114496000\", alpha=\"0.15\", expect_size=\"45798400\"] \n  2 -> 3 [size =\"45798400\"]\n  3 [size=\"30899200\", alpha=\"0.06\", expect_size=\"12359680\"] \n  3 -> 6 [size =\"12359680\"]\n  4 [size=\"54113280\", alpha=\"0.18\", expect_size=\"21645312\"] \n  4 -> 5 [size =\"21645312\"]\n  5 [size=\"59921920\", alpha=\"0.05\", expect_size=\"23968768\"] \n  6 [size=\"34124800\", alpha=\"0.18\", expect_size=\"13649920\"] \n  6 -> 7 [size =\"13649920\"]\n  6 -> 8 [size =\"13649920\"]\n  6 -> 9 [size =\"13649920\"]\n  7 [size=\"92042240\", alpha=\"0.16\", expect_size=\"36816896\"] \n  7 -> 10 [size =\"36816896\"]\n  8 [size=\"47288320\", alpha=\"0.06\", expect_size=\"18915328\"] \n  9 [size=\"53527040\", alpha=\"0.12\", expect_size=\"21410816\"] \n  10 [size=\"78438400\", alpha=\"0.06\", expect_size=\"31375360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92687360\", alpha=\"0.05\", expect_size=\"37074944\"] \n  1 -> 9 [size =\"37074944\"]\n  2 [size=\"15365120\", alpha=\"0.01\", expect_size=\"6146048\"] \n  2 -> 8 [size =\"6146048\"]\n  3 [size=\"68405760\", alpha=\"0.16\", expect_size=\"27362304\"] \n  3 -> 6 [size =\"27362304\"]\n  3 -> 7 [size =\"27362304\"]\n  4 [size=\"127843840\", alpha=\"0.18\", expect_size=\"51137536\"] \n  4 -> 6 [size =\"51137536\"]\n  4 -> 9 [size =\"51137536\"]\n  4 -> 10 [size =\"51137536\"]\n  5 [size=\"51857920\", alpha=\"0.05\", expect_size=\"20743168\"] \n  5 -> 10 [size =\"20743168\"]\n  6 [size=\"62965760\", alpha=\"0.11\", expect_size=\"25186304\"] \n  7 [size=\"109798400\", alpha=\"0.06\", expect_size=\"43919360\"] \n  8 [size=\"61181440\", alpha=\"0.05\", expect_size=\"24472576\"] \n  9 [size=\"96232960\", alpha=\"0.09\", expect_size=\"38493184\"] \n  10 [size=\"126912000\", alpha=\"0.00\", expect_size=\"50764800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126786560\", alpha=\"0.03\", expect_size=\"50714624\"] \n  1 -> 3 [size =\"50714624\"]\n  1 -> 4 [size =\"50714624\"]\n  2 [size=\"81912320\", alpha=\"0.06\", expect_size=\"32764928\"] \n  2 -> 3 [size =\"32764928\"]\n  3 [size=\"107566080\", alpha=\"0.10\", expect_size=\"43026432\"] \n  3 -> 5 [size =\"43026432\"]\n  3 -> 6 [size =\"43026432\"]\n  4 [size=\"109478400\", alpha=\"0.03\", expect_size=\"43791360\"] \n  4 -> 5 [size =\"43791360\"]\n  4 -> 6 [size =\"43791360\"]\n  5 [size=\"126059520\", alpha=\"0.18\", expect_size=\"50423808\"] \n  5 -> 7 [size =\"50423808\"]\n  5 -> 8 [size =\"50423808\"]\n  6 [size=\"127767040\", alpha=\"0.14\", expect_size=\"51106816\"] \n  6 -> 7 [size =\"51106816\"]\n  6 -> 8 [size =\"51106816\"]\n  6 -> 9 [size =\"51106816\"]\n  7 [size=\"31848960\", alpha=\"0.05\", expect_size=\"12739584\"] \n  7 -> 10 [size =\"12739584\"]\n  8 [size=\"88023040\", alpha=\"0.03\", expect_size=\"35209216\"] \n  9 [size=\"84513280\", alpha=\"0.08\", expect_size=\"33805312\"] \n  10 [size=\"127526400\", alpha=\"0.08\", expect_size=\"51010560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87769088\", alpha=\"0.18\", expect_size=\"43884544\"] \n  1 -> 2 [size =\"43884544\"]\n  2 [size=\"67266560\", alpha=\"0.15\", expect_size=\"33633280\"] \n  2 -> 3 [size =\"33633280\"]\n  3 [size=\"10641408\", alpha=\"0.02\", expect_size=\"5320704\"] \n  3 -> 4 [size =\"5320704\"]\n  4 [size=\"78397440\", alpha=\"0.13\", expect_size=\"39198720\"] \n  4 -> 5 [size =\"39198720\"]\n  5 [size=\"21671936\", alpha=\"0.19\", expect_size=\"10835968\"] \n  5 -> 6 [size =\"10835968\"]\n  6 [size=\"28717056\", alpha=\"0.13\", expect_size=\"14358528\"] \n  6 -> 7 [size =\"14358528\"]\n  7 [size=\"89307136\", alpha=\"0.17\", expect_size=\"44653568\"] \n  7 -> 8 [size =\"44653568\"]\n  8 [size=\"88170496\", alpha=\"0.05\", expect_size=\"44085248\"] \n  8 -> 9 [size =\"44085248\"]\n  9 [size=\"51175424\", alpha=\"0.13\", expect_size=\"25587712\"] \n  9 -> 10 [size =\"25587712\"]\n  10 [size=\"64802816\", alpha=\"0.17\", expect_size=\"32401408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55104000\", alpha=\"0.17\", expect_size=\"22041600\"] \n  1 -> 4 [size =\"22041600\"]\n  1 -> 5 [size =\"22041600\"]\n  2 [size=\"107320320\", alpha=\"0.01\", expect_size=\"42928128\"] \n  2 -> 6 [size =\"42928128\"]\n  3 [size=\"51397120\", alpha=\"0.03\", expect_size=\"20558848\"] \n  4 [size=\"94417920\", alpha=\"0.03\", expect_size=\"37767168\"] \n  4 -> 7 [size =\"37767168\"]\n  5 [size=\"53890560\", alpha=\"0.09\", expect_size=\"21556224\"] \n  5 -> 8 [size =\"21556224\"]\n  6 [size=\"74485760\", alpha=\"0.04\", expect_size=\"29794304\"] \n  7 [size=\"71685120\", alpha=\"0.08\", expect_size=\"28674048\"] \n  7 -> 10 [size =\"28674048\"]\n  8 [size=\"27110400\", alpha=\"0.00\", expect_size=\"10844160\"] \n  8 -> 9 [size =\"10844160\"]\n  9 [size=\"128778240\", alpha=\"0.11\", expect_size=\"51511296\"] \n  10 [size=\"93004800\", alpha=\"0.01\", expect_size=\"37201920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85067776\", alpha=\"0.08\", expect_size=\"42533888\"] \n  1 -> 4 [size =\"42533888\"]\n  2 [size=\"49942528\", alpha=\"0.07\", expect_size=\"24971264\"] \n  2 -> 3 [size =\"24971264\"]\n  3 [size=\"83550208\", alpha=\"0.06\", expect_size=\"41775104\"] \n  3 -> 5 [size =\"41775104\"]\n  3 -> 6 [size =\"41775104\"]\n  4 [size=\"83050496\", alpha=\"0.15\", expect_size=\"41525248\"] \n  4 -> 5 [size =\"41525248\"]\n  4 -> 6 [size =\"41525248\"]\n  5 [size=\"61988864\", alpha=\"0.17\", expect_size=\"30994432\"] \n  5 -> 7 [size =\"30994432\"]\n  5 -> 8 [size =\"30994432\"]\n  5 -> 9 [size =\"30994432\"]\n  6 [size=\"96282624\", alpha=\"0.19\", expect_size=\"48141312\"] \n  6 -> 8 [size =\"48141312\"]\n  6 -> 9 [size =\"48141312\"]\n  7 [size=\"94380032\", alpha=\"0.02\", expect_size=\"47190016\"] \n  7 -> 10 [size =\"47190016\"]\n  8 [size=\"95186944\", alpha=\"0.04\", expect_size=\"47593472\"] \n  9 [size=\"104179712\", alpha=\"0.13\", expect_size=\"52089856\"] \n  10 [size=\"42256384\", alpha=\"0.11\", expect_size=\"21128192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55531520\", alpha=\"0.09\", expect_size=\"22212608\"] \n  1 -> 7 [size =\"22212608\"]\n  2 [size=\"99906560\", alpha=\"0.05\", expect_size=\"39962624\"] \n  3 [size=\"115929600\", alpha=\"0.18\", expect_size=\"46371840\"] \n  3 -> 6 [size =\"46371840\"]\n  3 -> 8 [size =\"46371840\"]\n  4 [size=\"72435200\", alpha=\"0.03\", expect_size=\"28974080\"] \n  4 -> 6 [size =\"28974080\"]\n  4 -> 7 [size =\"28974080\"]\n  4 -> 9 [size =\"28974080\"]\n  5 [size=\"41351680\", alpha=\"0.00\", expect_size=\"16540672\"] \n  5 -> 6 [size =\"16540672\"]\n  5 -> 7 [size =\"16540672\"]\n  5 -> 8 [size =\"16540672\"]\n  6 [size=\"55285760\", alpha=\"0.06\", expect_size=\"22114304\"] \n  7 [size=\"126451200\", alpha=\"0.13\", expect_size=\"50580480\"] \n  8 [size=\"74513920\", alpha=\"0.07\", expect_size=\"29805568\"] \n  8 -> 10 [size =\"29805568\"]\n  9 [size=\"99745280\", alpha=\"0.08\", expect_size=\"39898112\"] \n  9 -> 10 [size =\"39898112\"]\n  10 [size=\"83875840\", alpha=\"0.12\", expect_size=\"33550336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33904640\", alpha=\"0.01\", expect_size=\"10171392\"] \n  1 -> 2 [size =\"10171392\"]\n  2 [size=\"98604373\", alpha=\"0.11\", expect_size=\"29581312\"] \n  2 -> 3 [size =\"29581312\"]\n  3 [size=\"146629973\", alpha=\"0.09\", expect_size=\"43988992\"] \n  3 -> 4 [size =\"43988992\"]\n  4 [size=\"139509760\", alpha=\"0.03\", expect_size=\"41852928\"] \n  4 -> 5 [size =\"41852928\"]\n  5 [size=\"119285760\", alpha=\"0.19\", expect_size=\"35785728\"] \n  5 -> 6 [size =\"35785728\"]\n  6 [size=\"141154987\", alpha=\"0.11\", expect_size=\"42346496\"] \n  6 -> 7 [size =\"42346496\"]\n  7 [size=\"71857493\", alpha=\"0.04\", expect_size=\"21557248\"] \n  7 -> 8 [size =\"21557248\"]\n  8 [size=\"173056000\", alpha=\"0.17\", expect_size=\"51916800\"] \n  8 -> 9 [size =\"51916800\"]\n  9 [size=\"171601920\", alpha=\"0.08\", expect_size=\"51480576\"] \n  9 -> 10 [size =\"51480576\"]\n  10 [size=\"28514987\", alpha=\"0.09\", expect_size=\"8554496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57784320\", alpha=\"0.06\", expect_size=\"23113728\"] \n  1 -> 2 [size =\"23113728\"]\n  2 [size=\"121136640\", alpha=\"0.20\", expect_size=\"48454656\"] \n  2 -> 3 [size =\"48454656\"]\n  3 [size=\"83325440\", alpha=\"0.05\", expect_size=\"33330176\"] \n  3 -> 4 [size =\"33330176\"]\n  4 [size=\"95111680\", alpha=\"0.09\", expect_size=\"38044672\"] \n  4 -> 5 [size =\"38044672\"]\n  5 [size=\"53271040\", alpha=\"0.07\", expect_size=\"21308416\"] \n  5 -> 6 [size =\"21308416\"]\n  6 [size=\"21911040\", alpha=\"0.17\", expect_size=\"8764416\"] \n  6 -> 7 [size =\"8764416\"]\n  7 [size=\"59875840\", alpha=\"0.01\", expect_size=\"23950336\"] \n  7 -> 8 [size =\"23950336\"]\n  8 [size=\"17228800\", alpha=\"0.05\", expect_size=\"6891520\"] \n  8 -> 9 [size =\"6891520\"]\n  9 [size=\"20628480\", alpha=\"0.20\", expect_size=\"8251392\"] \n  9 -> 10 [size =\"8251392\"]\n  10 [size=\"57267200\", alpha=\"0.00\", expect_size=\"22906880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91822080\", alpha=\"0.02\", expect_size=\"36728832\"] \n  1 -> 3 [size =\"36728832\"]\n  1 -> 4 [size =\"36728832\"]\n  1 -> 5 [size =\"36728832\"]\n  2 [size=\"28753920\", alpha=\"0.18\", expect_size=\"11501568\"] \n  2 -> 5 [size =\"11501568\"]\n  3 [size=\"120824320\", alpha=\"0.10\", expect_size=\"48329728\"] \n  3 -> 6 [size =\"48329728\"]\n  3 -> 7 [size =\"48329728\"]\n  4 [size=\"39674880\", alpha=\"0.19\", expect_size=\"15869952\"] \n  5 [size=\"82831360\", alpha=\"0.10\", expect_size=\"33132544\"] \n  6 [size=\"34920960\", alpha=\"0.05\", expect_size=\"13968384\"] \n  6 -> 8 [size =\"13968384\"]\n  7 [size=\"55301120\", alpha=\"0.01\", expect_size=\"22120448\"] \n  7 -> 9 [size =\"22120448\"]\n  8 [size=\"97848320\", alpha=\"0.01\", expect_size=\"39139328\"] \n  8 -> 10 [size =\"39139328\"]\n  9 [size=\"98887680\", alpha=\"0.09\", expect_size=\"39555072\"] \n  10 [size=\"98058240\", alpha=\"0.12\", expect_size=\"39223296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42203136\", alpha=\"0.05\", expect_size=\"21101568\"] \n  2 [size=\"73553920\", alpha=\"0.14\", expect_size=\"36776960\"] \n  2 -> 5 [size =\"36776960\"]\n  3 [size=\"49336320\", alpha=\"0.08\", expect_size=\"24668160\"] \n  3 -> 4 [size =\"24668160\"]\n  3 -> 5 [size =\"24668160\"]\n  4 [size=\"68722688\", alpha=\"0.06\", expect_size=\"34361344\"] \n  4 -> 6 [size =\"34361344\"]\n  4 -> 8 [size =\"34361344\"]\n  4 -> 9 [size =\"34361344\"]\n  5 [size=\"87392256\", alpha=\"0.10\", expect_size=\"43696128\"] \n  5 -> 7 [size =\"43696128\"]\n  6 [size=\"89255936\", alpha=\"0.03\", expect_size=\"44627968\"] \n  7 [size=\"23943168\", alpha=\"0.05\", expect_size=\"11971584\"] \n  7 -> 10 [size =\"11971584\"]\n  8 [size=\"55894016\", alpha=\"0.12\", expect_size=\"27947008\"] \n  9 [size=\"81647616\", alpha=\"0.10\", expect_size=\"40823808\"] \n  10 [size=\"41039872\", alpha=\"0.08\", expect_size=\"20519936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51650560\", alpha=\"0.14\", expect_size=\"25825280\"] \n  1 -> 2 [size =\"25825280\"]\n  2 [size=\"79108096\", alpha=\"0.05\", expect_size=\"39554048\"] \n  2 -> 3 [size =\"39554048\"]\n  3 [size=\"28010496\", alpha=\"0.18\", expect_size=\"14005248\"] \n  3 -> 4 [size =\"14005248\"]\n  4 [size=\"26259456\", alpha=\"0.06\", expect_size=\"13129728\"] \n  4 -> 5 [size =\"13129728\"]\n  5 [size=\"63186944\", alpha=\"0.04\", expect_size=\"31593472\"] \n  5 -> 6 [size =\"31593472\"]\n  6 [size=\"100294656\", alpha=\"0.00\", expect_size=\"50147328\"] \n  6 -> 7 [size =\"50147328\"]\n  7 [size=\"100411392\", alpha=\"0.15\", expect_size=\"50205696\"] \n  7 -> 8 [size =\"50205696\"]\n  8 [size=\"33280000\", alpha=\"0.06\", expect_size=\"16640000\"] \n  8 -> 9 [size =\"16640000\"]\n  9 [size=\"75681792\", alpha=\"0.17\", expect_size=\"37840896\"] \n  9 -> 10 [size =\"37840896\"]\n  10 [size=\"26279936\", alpha=\"0.14\", expect_size=\"13139968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18546688\", alpha=\"0.10\", expect_size=\"9273344\"] \n  1 -> 6 [size =\"9273344\"]\n  1 -> 7 [size =\"9273344\"]\n  1 -> 9 [size =\"9273344\"]\n  2 [size=\"75968512\", alpha=\"0.19\", expect_size=\"37984256\"] \n  2 -> 8 [size =\"37984256\"]\n  2 -> 9 [size =\"37984256\"]\n  2 -> 9 [size =\"37984256\"]\n  3 [size=\"16074752\", alpha=\"0.18\", expect_size=\"8037376\"] \n  3 -> 5 [size =\"8037376\"]\n  3 -> 6 [size =\"8037376\"]\n  3 -> 9 [size =\"8037376\"]\n  4 [size=\"104665088\", alpha=\"0.03\", expect_size=\"52332544\"] \n  4 -> 6 [size =\"52332544\"]\n  4 -> 6 [size =\"52332544\"]\n  4 -> 7 [size =\"52332544\"]\n  5 [size=\"24954880\", alpha=\"0.04\", expect_size=\"12477440\"] \n  5 -> 10 [size =\"12477440\"]\n  6 [size=\"83922944\", alpha=\"0.02\", expect_size=\"41961472\"] \n  6 -> 10 [size =\"41961472\"]\n  7 [size=\"46249984\", alpha=\"0.12\", expect_size=\"23124992\"] \n  7 -> 10 [size =\"23124992\"]\n  8 [size=\"24963072\", alpha=\"0.09\", expect_size=\"12481536\"] \n  8 -> 10 [size =\"12481536\"]\n  9 [size=\"93929472\", alpha=\"0.12\", expect_size=\"46964736\"] \n  9 -> 10 [size =\"46964736\"]\n  10 [size=\"102653952\", alpha=\"0.11\", expect_size=\"51326976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98895360\", alpha=\"0.09\", expect_size=\"39558144\"] \n  1 -> 8 [size =\"39558144\"]\n  1 -> 10 [size =\"39558144\"]\n  2 [size=\"123430400\", alpha=\"0.19\", expect_size=\"49372160\"] \n  2 -> 8 [size =\"49372160\"]\n  3 [size=\"22328320\", alpha=\"0.09\", expect_size=\"8931328\"] \n  3 -> 10 [size =\"8931328\"]\n  4 [size=\"37903360\", alpha=\"0.09\", expect_size=\"15161344\"] \n  4 -> 8 [size =\"15161344\"]\n  5 [size=\"32012800\", alpha=\"0.08\", expect_size=\"12805120\"] \n  6 [size=\"37619200\", alpha=\"0.06\", expect_size=\"15047680\"] \n  6 -> 8 [size =\"15047680\"]\n  6 -> 9 [size =\"15047680\"]\n  7 [size=\"103567360\", alpha=\"0.07\", expect_size=\"41426944\"] \n  7 -> 8 [size =\"41426944\"]\n  7 -> 9 [size =\"41426944\"]\n  8 [size=\"52049920\", alpha=\"0.17\", expect_size=\"20819968\"] \n  9 [size=\"119334400\", alpha=\"0.16\", expect_size=\"47733760\"] \n  10 [size=\"100689920\", alpha=\"0.11\", expect_size=\"40275968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88594432\", alpha=\"0.16\", expect_size=\"44297216\"] \n  1 -> 8 [size =\"44297216\"]\n  1 -> 9 [size =\"44297216\"]\n  1 -> 10 [size =\"44297216\"]\n  2 [size=\"92684288\", alpha=\"0.10\", expect_size=\"46342144\"] \n  3 [size=\"74860544\", alpha=\"0.10\", expect_size=\"37430272\"] \n  3 -> 8 [size =\"37430272\"]\n  4 [size=\"60086272\", alpha=\"0.00\", expect_size=\"30043136\"] \n  5 [size=\"23076864\", alpha=\"0.05\", expect_size=\"11538432\"] \n  5 -> 10 [size =\"11538432\"]\n  6 [size=\"31651840\", alpha=\"0.02\", expect_size=\"15825920\"] \n  6 -> 8 [size =\"15825920\"]\n  6 -> 10 [size =\"15825920\"]\n  7 [size=\"47964160\", alpha=\"0.15\", expect_size=\"23982080\"] \n  7 -> 8 [size =\"23982080\"]\n  7 -> 9 [size =\"23982080\"]\n  7 -> 10 [size =\"23982080\"]\n  8 [size=\"15683584\", alpha=\"0.16\", expect_size=\"7841792\"] \n  9 [size=\"38735872\", alpha=\"0.10\", expect_size=\"19367936\"] \n  10 [size=\"43079680\", alpha=\"0.08\", expect_size=\"21539840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58468352\", alpha=\"0.18\", expect_size=\"29234176\"] \n  1 -> 2 [size =\"29234176\"]\n  2 [size=\"70608896\", alpha=\"0.18\", expect_size=\"35304448\"] \n  2 -> 3 [size =\"35304448\"]\n  3 [size=\"70275072\", alpha=\"0.19\", expect_size=\"35137536\"] \n  3 -> 4 [size =\"35137536\"]\n  4 [size=\"53524480\", alpha=\"0.04\", expect_size=\"26762240\"] \n  4 -> 5 [size =\"26762240\"]\n  5 [size=\"26935296\", alpha=\"0.11\", expect_size=\"13467648\"] \n  5 -> 6 [size =\"13467648\"]\n  6 [size=\"83959808\", alpha=\"0.11\", expect_size=\"41979904\"] \n  6 -> 7 [size =\"41979904\"]\n  7 [size=\"75094016\", alpha=\"0.14\", expect_size=\"37547008\"] \n  7 -> 8 [size =\"37547008\"]\n  8 [size=\"42491904\", alpha=\"0.03\", expect_size=\"21245952\"] \n  8 -> 9 [size =\"21245952\"]\n  9 [size=\"43347968\", alpha=\"0.19\", expect_size=\"21673984\"] \n  9 -> 10 [size =\"21673984\"]\n  10 [size=\"77668352\", alpha=\"0.15\", expect_size=\"38834176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82339840\", alpha=\"0.14\", expect_size=\"41169920\"] \n  1 -> 3 [size =\"41169920\"]\n  2 [size=\"49426432\", alpha=\"0.11\", expect_size=\"24713216\"] \n  2 -> 3 [size =\"24713216\"]\n  2 -> 4 [size =\"24713216\"]\n  2 -> 5 [size =\"24713216\"]\n  3 [size=\"74979328\", alpha=\"0.05\", expect_size=\"37489664\"] \n  4 [size=\"68245504\", alpha=\"0.10\", expect_size=\"34122752\"] \n  4 -> 7 [size =\"34122752\"]\n  4 -> 8 [size =\"34122752\"]\n  5 [size=\"38404096\", alpha=\"0.16\", expect_size=\"19202048\"] \n  5 -> 6 [size =\"19202048\"]\n  6 [size=\"29714432\", alpha=\"0.12\", expect_size=\"14857216\"] \n  6 -> 9 [size =\"14857216\"]\n  7 [size=\"63318016\", alpha=\"0.05\", expect_size=\"31659008\"] \n  8 [size=\"72984576\", alpha=\"0.17\", expect_size=\"36492288\"] \n  9 [size=\"69818368\", alpha=\"0.05\", expect_size=\"34909184\"] \n  9 -> 10 [size =\"34909184\"]\n  10 [size=\"48728064\", alpha=\"0.08\", expect_size=\"24364032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77583360\", alpha=\"0.10\", expect_size=\"31033344\"] \n  1 -> 2 [size =\"31033344\"]\n  2 [size=\"53770240\", alpha=\"0.05\", expect_size=\"21508096\"] \n  2 -> 3 [size =\"21508096\"]\n  3 [size=\"55672320\", alpha=\"0.04\", expect_size=\"22268928\"] \n  3 -> 4 [size =\"22268928\"]\n  4 [size=\"25454080\", alpha=\"0.09\", expect_size=\"10181632\"] \n  4 -> 5 [size =\"10181632\"]\n  5 [size=\"129564160\", alpha=\"0.19\", expect_size=\"51825664\"] \n  5 -> 6 [size =\"51825664\"]\n  6 [size=\"36449280\", alpha=\"0.07\", expect_size=\"14579712\"] \n  6 -> 7 [size =\"14579712\"]\n  7 [size=\"78840320\", alpha=\"0.13\", expect_size=\"31536128\"] \n  7 -> 8 [size =\"31536128\"]\n  8 [size=\"30272000\", alpha=\"0.06\", expect_size=\"12108800\"] \n  8 -> 9 [size =\"12108800\"]\n  9 [size=\"123417600\", alpha=\"0.10\", expect_size=\"49367040\"] \n  9 -> 10 [size =\"49367040\"]\n  10 [size=\"100730880\", alpha=\"0.10\", expect_size=\"40292352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139830613\", alpha=\"0.10\", expect_size=\"41949184\"] \n  1 -> 7 [size =\"41949184\"]\n  1 -> 9 [size =\"41949184\"]\n  2 [size=\"96208213\", alpha=\"0.18\", expect_size=\"28862464\"] \n  2 -> 7 [size =\"28862464\"]\n  3 [size=\"44212907\", alpha=\"0.13\", expect_size=\"13263872\"] \n  3 -> 8 [size =\"13263872\"]\n  4 [size=\"173226667\", alpha=\"0.03\", expect_size=\"51968000\"] \n  4 -> 6 [size =\"51968000\"]\n  4 -> 8 [size =\"51968000\"]\n  4 -> 10 [size =\"51968000\"]\n  5 [size=\"153856000\", alpha=\"0.04\", expect_size=\"46156800\"] \n  5 -> 7 [size =\"46156800\"]\n  5 -> 8 [size =\"46156800\"]\n  6 [size=\"34884267\", alpha=\"0.02\", expect_size=\"10465280\"] \n  7 [size=\"104376320\", alpha=\"0.11\", expect_size=\"31312896\"] \n  8 [size=\"127245653\", alpha=\"0.05\", expect_size=\"38173696\"] \n  9 [size=\"160532480\", alpha=\"0.01\", expect_size=\"48159744\"] \n  10 [size=\"114244267\", alpha=\"0.19\", expect_size=\"34273280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43640320\", alpha=\"0.06\", expect_size=\"17456128\"] \n  1 -> 7 [size =\"17456128\"]\n  1 -> 10 [size =\"17456128\"]\n  2 [size=\"89740800\", alpha=\"0.18\", expect_size=\"35896320\"] \n  2 -> 8 [size =\"35896320\"]\n  3 [size=\"88673280\", alpha=\"0.11\", expect_size=\"35469312\"] \n  3 -> 7 [size =\"35469312\"]\n  3 -> 8 [size =\"35469312\"]\n  3 -> 10 [size =\"35469312\"]\n  4 [size=\"111987200\", alpha=\"0.19\", expect_size=\"44794880\"] \n  4 -> 6 [size =\"44794880\"]\n  4 -> 9 [size =\"44794880\"]\n  4 -> 10 [size =\"44794880\"]\n  5 [size=\"23393280\", alpha=\"0.05\", expect_size=\"9357312\"] \n  5 -> 9 [size =\"9357312\"]\n  5 -> 9 [size =\"9357312\"]\n  6 [size=\"55982080\", alpha=\"0.19\", expect_size=\"22392832\"] \n  7 [size=\"13803520\", alpha=\"0.08\", expect_size=\"5521408\"] \n  8 [size=\"79121920\", alpha=\"0.13\", expect_size=\"31648768\"] \n  9 [size=\"74414080\", alpha=\"0.15\", expect_size=\"29765632\"] \n  10 [size=\"61015040\", alpha=\"0.11\", expect_size=\"24406016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18849792\", alpha=\"0.03\", expect_size=\"9424896\"] \n  1 -> 2 [size =\"9424896\"]\n  2 [size=\"63037440\", alpha=\"0.12\", expect_size=\"31518720\"] \n  2 -> 3 [size =\"31518720\"]\n  3 [size=\"66480128\", alpha=\"0.10\", expect_size=\"33240064\"] \n  3 -> 4 [size =\"33240064\"]\n  4 [size=\"82147328\", alpha=\"0.03\", expect_size=\"41073664\"] \n  4 -> 5 [size =\"41073664\"]\n  5 [size=\"39481344\", alpha=\"0.08\", expect_size=\"19740672\"] \n  5 -> 6 [size =\"19740672\"]\n  6 [size=\"22337536\", alpha=\"0.03\", expect_size=\"11168768\"] \n  6 -> 7 [size =\"11168768\"]\n  7 [size=\"99176448\", alpha=\"0.03\", expect_size=\"49588224\"] \n  7 -> 8 [size =\"49588224\"]\n  8 [size=\"101439488\", alpha=\"0.10\", expect_size=\"50719744\"] \n  8 -> 9 [size =\"50719744\"]\n  9 [size=\"13922304\", alpha=\"0.02\", expect_size=\"6961152\"] \n  9 -> 10 [size =\"6961152\"]\n  10 [size=\"85151744\", alpha=\"0.06\", expect_size=\"42575872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101226496\", alpha=\"0.00\", expect_size=\"50613248\"] \n  1 -> 7 [size =\"50613248\"]\n  1 -> 8 [size =\"50613248\"]\n  2 [size=\"59899904\", alpha=\"0.11\", expect_size=\"29949952\"] \n  2 -> 6 [size =\"29949952\"]\n  2 -> 8 [size =\"29949952\"]\n  2 -> 10 [size =\"29949952\"]\n  3 [size=\"43663360\", alpha=\"0.02\", expect_size=\"21831680\"] \n  3 -> 8 [size =\"21831680\"]\n  3 -> 10 [size =\"21831680\"]\n  4 [size=\"102303744\", alpha=\"0.03\", expect_size=\"51151872\"] \n  5 [size=\"14127104\", alpha=\"0.09\", expect_size=\"7063552\"] \n  5 -> 9 [size =\"7063552\"]\n  6 [size=\"95703040\", alpha=\"0.11\", expect_size=\"47851520\"] \n  7 [size=\"83615744\", alpha=\"0.14\", expect_size=\"41807872\"] \n  8 [size=\"12402688\", alpha=\"0.01\", expect_size=\"6201344\"] \n  9 [size=\"41734144\", alpha=\"0.02\", expect_size=\"20867072\"] \n  10 [size=\"22691840\", alpha=\"0.07\", expect_size=\"11345920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37526187\", alpha=\"0.05\", expect_size=\"11257856\"] \n  1 -> 2 [size =\"11257856\"]\n  2 [size=\"137826987\", alpha=\"0.19\", expect_size=\"41348096\"] \n  2 -> 3 [size =\"41348096\"]\n  3 [size=\"146660693\", alpha=\"0.05\", expect_size=\"43998208\"] \n  3 -> 4 [size =\"43998208\"]\n  4 [size=\"160406187\", alpha=\"0.18\", expect_size=\"48121856\"] \n  4 -> 5 [size =\"48121856\"]\n  5 [size=\"36522667\", alpha=\"0.06\", expect_size=\"10956800\"] \n  5 -> 6 [size =\"10956800\"]\n  6 [size=\"24722773\", alpha=\"0.19\", expect_size=\"7416832\"] \n  6 -> 7 [size =\"7416832\"]\n  7 [size=\"66867200\", alpha=\"0.02\", expect_size=\"20060160\"] \n  7 -> 8 [size =\"20060160\"]\n  8 [size=\"138977280\", alpha=\"0.13\", expect_size=\"41693184\"] \n  8 -> 9 [size =\"41693184\"]\n  9 [size=\"37403307\", alpha=\"0.13\", expect_size=\"11220992\"] \n  9 -> 10 [size =\"11220992\"]\n  10 [size=\"68915200\", alpha=\"0.12\", expect_size=\"20674560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103700480\", alpha=\"0.08\", expect_size=\"51850240\"] \n  1 -> 8 [size =\"51850240\"]\n  2 [size=\"49596416\", alpha=\"0.11\", expect_size=\"24798208\"] \n  2 -> 5 [size =\"24798208\"]\n  2 -> 8 [size =\"24798208\"]\n  3 [size=\"34342912\", alpha=\"0.12\", expect_size=\"17171456\"] \n  3 -> 5 [size =\"17171456\"]\n  3 -> 6 [size =\"17171456\"]\n  3 -> 7 [size =\"17171456\"]\n  3 -> 8 [size =\"17171456\"]\n  4 [size=\"12781568\", alpha=\"0.00\", expect_size=\"6390784\"] \n  4 -> 7 [size =\"6390784\"]\n  5 [size=\"43161600\", alpha=\"0.19\", expect_size=\"21580800\"] \n  5 -> 10 [size =\"21580800\"]\n  6 [size=\"71225344\", alpha=\"0.01\", expect_size=\"35612672\"] \n  7 [size=\"101597184\", alpha=\"0.10\", expect_size=\"50798592\"] \n  7 -> 9 [size =\"50798592\"]\n  7 -> 10 [size =\"50798592\"]\n  8 [size=\"81065984\", alpha=\"0.03\", expect_size=\"40532992\"] \n  9 [size=\"38545408\", alpha=\"0.08\", expect_size=\"19272704\"] \n  10 [size=\"38856704\", alpha=\"0.12\", expect_size=\"19428352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115268267\", alpha=\"0.03\", expect_size=\"34580480\"] \n  1 -> 6 [size =\"34580480\"]\n  2 [size=\"70952960\", alpha=\"0.19\", expect_size=\"21285888\"] \n  3 [size=\"42513067\", alpha=\"0.07\", expect_size=\"12753920\"] \n  3 -> 6 [size =\"12753920\"]\n  4 [size=\"169253547\", alpha=\"0.15\", expect_size=\"50776064\"] \n  4 -> 5 [size =\"50776064\"]\n  4 -> 6 [size =\"50776064\"]\n  5 [size=\"23637333\", alpha=\"0.11\", expect_size=\"7091200\"] \n  5 -> 7 [size =\"7091200\"]\n  5 -> 8 [size =\"7091200\"]\n  5 -> 9 [size =\"7091200\"]\n  6 [size=\"103355733\", alpha=\"0.02\", expect_size=\"31006720\"] \n  6 -> 7 [size =\"31006720\"]\n  7 [size=\"83613013\", alpha=\"0.14\", expect_size=\"25083904\"] \n  8 [size=\"166789120\", alpha=\"0.04\", expect_size=\"50036736\"] \n  8 -> 10 [size =\"50036736\"]\n  9 [size=\"43830613\", alpha=\"0.01\", expect_size=\"13149184\"] \n  10 [size=\"104980480\", alpha=\"0.06\", expect_size=\"31494144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27392000\", alpha=\"0.03\", expect_size=\"13696000\"] \n  1 -> 2 [size =\"13696000\"]\n  2 [size=\"64243712\", alpha=\"0.04\", expect_size=\"32121856\"] \n  2 -> 3 [size =\"32121856\"]\n  3 [size=\"95758336\", alpha=\"0.18\", expect_size=\"47879168\"] \n  3 -> 4 [size =\"47879168\"]\n  4 [size=\"92674048\", alpha=\"0.04\", expect_size=\"46337024\"] \n  4 -> 5 [size =\"46337024\"]\n  5 [size=\"41375744\", alpha=\"0.03\", expect_size=\"20687872\"] \n  5 -> 6 [size =\"20687872\"]\n  6 [size=\"49090560\", alpha=\"0.12\", expect_size=\"24545280\"] \n  6 -> 7 [size =\"24545280\"]\n  7 [size=\"43857920\", alpha=\"0.05\", expect_size=\"21928960\"] \n  7 -> 8 [size =\"21928960\"]\n  8 [size=\"53790720\", alpha=\"0.13\", expect_size=\"26895360\"] \n  8 -> 9 [size =\"26895360\"]\n  9 [size=\"32149504\", alpha=\"0.19\", expect_size=\"16074752\"] \n  9 -> 10 [size =\"16074752\"]\n  10 [size=\"19064832\", alpha=\"0.15\", expect_size=\"9532416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151790933\", alpha=\"0.02\", expect_size=\"45537280\"] \n  2 [size=\"19913387\", alpha=\"0.05\", expect_size=\"5974016\"] \n  2 -> 5 [size =\"5974016\"]\n  3 [size=\"47612587\", alpha=\"0.19\", expect_size=\"14283776\"] \n  3 -> 4 [size =\"14283776\"]\n  4 [size=\"43537067\", alpha=\"0.02\", expect_size=\"13061120\"] \n  4 -> 7 [size =\"13061120\"]\n  5 [size=\"58081280\", alpha=\"0.06\", expect_size=\"17424384\"] \n  5 -> 6 [size =\"17424384\"]\n  5 -> 8 [size =\"17424384\"]\n  6 [size=\"125163520\", alpha=\"0.06\", expect_size=\"37549056\"] \n  6 -> 9 [size =\"37549056\"]\n  6 -> 10 [size =\"37549056\"]\n  7 [size=\"52333227\", alpha=\"0.02\", expect_size=\"15699968\"] \n  7 -> 9 [size =\"15699968\"]\n  8 [size=\"73267200\", alpha=\"0.19\", expect_size=\"21980160\"] \n  8 -> 10 [size =\"21980160\"]\n  9 [size=\"21230933\", alpha=\"0.20\", expect_size=\"6369280\"] \n  10 [size=\"150179840\", alpha=\"0.20\", expect_size=\"45053952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38502400\", alpha=\"0.15\", expect_size=\"15400960\"] \n  1 -> 2 [size =\"15400960\"]\n  2 [size=\"104499200\", alpha=\"0.01\", expect_size=\"41799680\"] \n  2 -> 3 [size =\"41799680\"]\n  3 [size=\"87157760\", alpha=\"0.14\", expect_size=\"34863104\"] \n  3 -> 4 [size =\"34863104\"]\n  4 [size=\"14965760\", alpha=\"0.08\", expect_size=\"5986304\"] \n  4 -> 5 [size =\"5986304\"]\n  5 [size=\"29132800\", alpha=\"0.02\", expect_size=\"11653120\"] \n  5 -> 6 [size =\"11653120\"]\n  6 [size=\"51248640\", alpha=\"0.17\", expect_size=\"20499456\"] \n  6 -> 7 [size =\"20499456\"]\n  7 [size=\"98101760\", alpha=\"0.05\", expect_size=\"39240704\"] \n  7 -> 8 [size =\"39240704\"]\n  8 [size=\"102635520\", alpha=\"0.17\", expect_size=\"41054208\"] \n  8 -> 9 [size =\"41054208\"]\n  9 [size=\"108625920\", alpha=\"0.00\", expect_size=\"43450368\"] \n  9 -> 10 [size =\"43450368\"]\n  10 [size=\"26657280\", alpha=\"0.11\", expect_size=\"10662912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110902613\", alpha=\"0.11\", expect_size=\"33270784\"] \n  1 -> 4 [size =\"33270784\"]\n  2 [size=\"48933547\", alpha=\"0.12\", expect_size=\"14680064\"] \n  2 -> 5 [size =\"14680064\"]\n  3 [size=\"132993707\", alpha=\"0.01\", expect_size=\"39898112\"] \n  3 -> 4 [size =\"39898112\"]\n  3 -> 5 [size =\"39898112\"]\n  4 [size=\"76991147\", alpha=\"0.09\", expect_size=\"23097344\"] \n  4 -> 6 [size =\"23097344\"]\n  4 -> 7 [size =\"23097344\"]\n  4 -> 8 [size =\"23097344\"]\n  5 [size=\"94692693\", alpha=\"0.12\", expect_size=\"28407808\"] \n  5 -> 6 [size =\"28407808\"]\n  5 -> 8 [size =\"28407808\"]\n  6 [size=\"149476693\", alpha=\"0.10\", expect_size=\"44843008\"] \n  6 -> 9 [size =\"44843008\"]\n  6 -> 10 [size =\"44843008\"]\n  7 [size=\"102580907\", alpha=\"0.11\", expect_size=\"30774272\"] \n  7 -> 9 [size =\"30774272\"]\n  8 [size=\"140369920\", alpha=\"0.05\", expect_size=\"42110976\"] \n  8 -> 9 [size =\"42110976\"]\n  8 -> 10 [size =\"42110976\"]\n  9 [size=\"81138347\", alpha=\"0.20\", expect_size=\"24341504\"] \n  10 [size=\"42588160\", alpha=\"0.14\", expect_size=\"12776448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155620693\", alpha=\"0.07\", expect_size=\"46686208\"] \n  2 [size=\"164771840\", alpha=\"0.10\", expect_size=\"49431552\"] \n  3 [size=\"139260587\", alpha=\"0.13\", expect_size=\"41778176\"] \n  3 -> 10 [size =\"41778176\"]\n  4 [size=\"144285013\", alpha=\"0.15\", expect_size=\"43285504\"] \n  4 -> 8 [size =\"43285504\"]\n  4 -> 10 [size =\"43285504\"]\n  5 [size=\"149777067\", alpha=\"0.01\", expect_size=\"44933120\"] \n  5 -> 9 [size =\"44933120\"]\n  6 [size=\"37686613\", alpha=\"0.19\", expect_size=\"11305984\"] \n  6 -> 9 [size =\"11305984\"]\n  7 [size=\"125149867\", alpha=\"0.09\", expect_size=\"37544960\"] \n  7 -> 9 [size =\"37544960\"]\n  8 [size=\"84353707\", alpha=\"0.14\", expect_size=\"25306112\"] \n  9 [size=\"66447360\", alpha=\"0.04\", expect_size=\"19934208\"] \n  10 [size=\"131013973\", alpha=\"0.16\", expect_size=\"39304192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147971413\", alpha=\"0.01\", expect_size=\"44391424\"] \n  1 -> 5 [size =\"44391424\"]\n  1 -> 8 [size =\"44391424\"]\n  2 [size=\"135024640\", alpha=\"0.15\", expect_size=\"40507392\"] \n  2 -> 6 [size =\"40507392\"]\n  2 -> 7 [size =\"40507392\"]\n  2 -> 8 [size =\"40507392\"]\n  3 [size=\"59880107\", alpha=\"0.01\", expect_size=\"17964032\"] \n  3 -> 5 [size =\"17964032\"]\n  3 -> 7 [size =\"17964032\"]\n  3 -> 8 [size =\"17964032\"]\n  4 [size=\"149729280\", alpha=\"0.18\", expect_size=\"44918784\"] \n  4 -> 6 [size =\"44918784\"]\n  4 -> 7 [size =\"44918784\"]\n  5 [size=\"74540373\", alpha=\"0.03\", expect_size=\"22362112\"] \n  6 [size=\"90415787\", alpha=\"0.09\", expect_size=\"27124736\"] \n  7 [size=\"114708480\", alpha=\"0.19\", expect_size=\"34412544\"] \n  7 -> 9 [size =\"34412544\"]\n  7 -> 10 [size =\"34412544\"]\n  8 [size=\"18329600\", alpha=\"0.04\", expect_size=\"5498880\"] \n  9 [size=\"119084373\", alpha=\"0.03\", expect_size=\"35725312\"] \n  10 [size=\"126904320\", alpha=\"0.07\", expect_size=\"38071296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160720213\", alpha=\"0.07\", expect_size=\"48216064\"] \n  1 -> 9 [size =\"48216064\"]\n  2 [size=\"17496747\", alpha=\"0.08\", expect_size=\"5249024\"] \n  3 [size=\"72888320\", alpha=\"0.15\", expect_size=\"21866496\"] \n  3 -> 8 [size =\"21866496\"]\n  4 [size=\"157334187\", alpha=\"0.12\", expect_size=\"47200256\"] \n  5 [size=\"78776320\", alpha=\"0.14\", expect_size=\"23632896\"] \n  5 -> 8 [size =\"23632896\"]\n  5 -> 10 [size =\"23632896\"]\n  6 [size=\"121634133\", alpha=\"0.10\", expect_size=\"36490240\"] \n  6 -> 9 [size =\"36490240\"]\n  7 [size=\"30044160\", alpha=\"0.17\", expect_size=\"9013248\"] \n  7 -> 9 [size =\"9013248\"]\n  8 [size=\"128040960\", alpha=\"0.04\", expect_size=\"38412288\"] \n  9 [size=\"34655573\", alpha=\"0.05\", expect_size=\"10396672\"] \n  10 [size=\"61593600\", alpha=\"0.19\", expect_size=\"18478080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14952960\", alpha=\"0.14\", expect_size=\"5981184\"] \n  1 -> 10 [size =\"5981184\"]\n  2 [size=\"65172480\", alpha=\"0.19\", expect_size=\"26068992\"] \n  2 -> 9 [size =\"26068992\"]\n  3 [size=\"67704320\", alpha=\"0.16\", expect_size=\"27081728\"] \n  4 [size=\"38174720\", alpha=\"0.04\", expect_size=\"15269888\"] \n  4 -> 8 [size =\"15269888\"]\n  4 -> 10 [size =\"15269888\"]\n  5 [size=\"116024320\", alpha=\"0.02\", expect_size=\"46409728\"] \n  5 -> 8 [size =\"46409728\"]\n  5 -> 10 [size =\"46409728\"]\n  6 [size=\"94525440\", alpha=\"0.16\", expect_size=\"37810176\"] \n  6 -> 8 [size =\"37810176\"]\n  7 [size=\"98519040\", alpha=\"0.15\", expect_size=\"39407616\"] \n  8 [size=\"65551360\", alpha=\"0.13\", expect_size=\"26220544\"] \n  9 [size=\"16419840\", alpha=\"0.19\", expect_size=\"6567936\"] \n  10 [size=\"61171200\", alpha=\"0.17\", expect_size=\"24468480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49671680\", alpha=\"0.05\", expect_size=\"19868672\"] \n  1 -> 2 [size =\"19868672\"]\n  2 [size=\"106575360\", alpha=\"0.02\", expect_size=\"42630144\"] \n  2 -> 3 [size =\"42630144\"]\n  3 [size=\"65428480\", alpha=\"0.02\", expect_size=\"26171392\"] \n  3 -> 4 [size =\"26171392\"]\n  4 [size=\"87856640\", alpha=\"0.19\", expect_size=\"35142656\"] \n  4 -> 5 [size =\"35142656\"]\n  5 [size=\"32355840\", alpha=\"0.08\", expect_size=\"12942336\"] \n  5 -> 6 [size =\"12942336\"]\n  6 [size=\"85660160\", alpha=\"0.06\", expect_size=\"34264064\"] \n  6 -> 7 [size =\"34264064\"]\n  7 [size=\"89034240\", alpha=\"0.18\", expect_size=\"35613696\"] \n  7 -> 8 [size =\"35613696\"]\n  8 [size=\"44311040\", alpha=\"0.00\", expect_size=\"17724416\"] \n  8 -> 9 [size =\"17724416\"]\n  9 [size=\"73815040\", alpha=\"0.08\", expect_size=\"29526016\"] \n  9 -> 10 [size =\"29526016\"]\n  10 [size=\"122557440\", alpha=\"0.19\", expect_size=\"49022976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42268672\", alpha=\"0.11\", expect_size=\"21134336\"] \n  1 -> 2 [size =\"21134336\"]\n  2 [size=\"95928320\", alpha=\"0.01\", expect_size=\"47964160\"] \n  2 -> 3 [size =\"47964160\"]\n  3 [size=\"87699456\", alpha=\"0.00\", expect_size=\"43849728\"] \n  3 -> 4 [size =\"43849728\"]\n  4 [size=\"102137856\", alpha=\"0.01\", expect_size=\"51068928\"] \n  4 -> 5 [size =\"51068928\"]\n  5 [size=\"18552832\", alpha=\"0.17\", expect_size=\"9276416\"] \n  5 -> 6 [size =\"9276416\"]\n  6 [size=\"66523136\", alpha=\"0.15\", expect_size=\"33261568\"] \n  6 -> 7 [size =\"33261568\"]\n  7 [size=\"90982400\", alpha=\"0.13\", expect_size=\"45491200\"] \n  7 -> 8 [size =\"45491200\"]\n  8 [size=\"76124160\", alpha=\"0.08\", expect_size=\"38062080\"] \n  8 -> 9 [size =\"38062080\"]\n  9 [size=\"66330624\", alpha=\"0.14\", expect_size=\"33165312\"] \n  9 -> 10 [size =\"33165312\"]\n  10 [size=\"32571392\", alpha=\"0.08\", expect_size=\"16285696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76078080\", alpha=\"0.15\", expect_size=\"30431232\"] \n  1 -> 7 [size =\"30431232\"]\n  2 [size=\"55713280\", alpha=\"0.16\", expect_size=\"22285312\"] \n  2 -> 5 [size =\"22285312\"]\n  2 -> 6 [size =\"22285312\"]\n  2 -> 7 [size =\"22285312\"]\n  2 -> 8 [size =\"22285312\"]\n  2 -> 9 [size =\"22285312\"]\n  3 [size=\"27333120\", alpha=\"0.04\", expect_size=\"10933248\"] \n  3 -> 6 [size =\"10933248\"]\n  3 -> 8 [size =\"10933248\"]\n  4 [size=\"114442240\", alpha=\"0.07\", expect_size=\"45776896\"] \n  5 [size=\"126970880\", alpha=\"0.06\", expect_size=\"50788352\"] \n  5 -> 10 [size =\"50788352\"]\n  6 [size=\"60718080\", alpha=\"0.13\", expect_size=\"24287232\"] \n  7 [size=\"92142080\", alpha=\"0.14\", expect_size=\"36856832\"] \n  8 [size=\"50022400\", alpha=\"0.16\", expect_size=\"20008960\"] \n  9 [size=\"85647360\", alpha=\"0.16\", expect_size=\"34258944\"] \n  10 [size=\"57054720\", alpha=\"0.13\", expect_size=\"22821888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74319872\", alpha=\"0.14\", expect_size=\"37159936\"] \n  1 -> 4 [size =\"37159936\"]\n  1 -> 5 [size =\"37159936\"]\n  1 -> 6 [size =\"37159936\"]\n  2 [size=\"18606080\", alpha=\"0.08\", expect_size=\"9303040\"] \n  2 -> 4 [size =\"9303040\"]\n  3 [size=\"38164480\", alpha=\"0.10\", expect_size=\"19082240\"] \n  4 [size=\"26118144\", alpha=\"0.16\", expect_size=\"13059072\"] \n  4 -> 7 [size =\"13059072\"]\n  4 -> 8 [size =\"13059072\"]\n  4 -> 10 [size =\"13059072\"]\n  4 -> 10 [size =\"13059072\"]\n  5 [size=\"94404608\", alpha=\"0.16\", expect_size=\"47202304\"] \n  5 -> 7 [size =\"47202304\"]\n  5 -> 9 [size =\"47202304\"]\n  6 [size=\"85577728\", alpha=\"0.06\", expect_size=\"42788864\"] \n  6 -> 7 [size =\"42788864\"]\n  6 -> 8 [size =\"42788864\"]\n  6 -> 9 [size =\"42788864\"]\n  6 -> 10 [size =\"42788864\"]\n  7 [size=\"84586496\", alpha=\"0.09\", expect_size=\"42293248\"] \n  8 [size=\"84107264\", alpha=\"0.05\", expect_size=\"42053632\"] \n  9 [size=\"59117568\", alpha=\"0.09\", expect_size=\"29558784\"] \n  10 [size=\"21397504\", alpha=\"0.12\", expect_size=\"10698752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102437547\", alpha=\"0.16\", expect_size=\"30731264\"] \n  1 -> 4 [size =\"30731264\"]\n  1 -> 5 [size =\"30731264\"]\n  2 [size=\"162597547\", alpha=\"0.19\", expect_size=\"48779264\"] \n  2 -> 3 [size =\"48779264\"]\n  2 -> 5 [size =\"48779264\"]\n  2 -> 6 [size =\"48779264\"]\n  3 [size=\"157289813\", alpha=\"0.09\", expect_size=\"47186944\"] \n  3 -> 8 [size =\"47186944\"]\n  3 -> 9 [size =\"47186944\"]\n  4 [size=\"50606080\", alpha=\"0.06\", expect_size=\"15181824\"] \n  4 -> 7 [size =\"15181824\"]\n  4 -> 8 [size =\"15181824\"]\n  5 [size=\"80646827\", alpha=\"0.04\", expect_size=\"24194048\"] \n  5 -> 7 [size =\"24194048\"]\n  5 -> 8 [size =\"24194048\"]\n  5 -> 9 [size =\"24194048\"]\n  6 [size=\"164549973\", alpha=\"0.08\", expect_size=\"49364992\"] \n  6 -> 7 [size =\"49364992\"]\n  7 [size=\"142383787\", alpha=\"0.15\", expect_size=\"42715136\"] \n  7 -> 10 [size =\"42715136\"]\n  8 [size=\"89838933\", alpha=\"0.18\", expect_size=\"26951680\"] \n  9 [size=\"79912960\", alpha=\"0.07\", expect_size=\"23973888\"] \n  10 [size=\"157085013\", alpha=\"0.18\", expect_size=\"47125504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48531456\", alpha=\"0.00\", expect_size=\"24265728\"] \n  1 -> 3 [size =\"24265728\"]\n  1 -> 5 [size =\"24265728\"]\n  2 [size=\"11108352\", alpha=\"0.02\", expect_size=\"5554176\"] \n  2 -> 4 [size =\"5554176\"]\n  3 [size=\"48283648\", alpha=\"0.05\", expect_size=\"24141824\"] \n  3 -> 6 [size =\"24141824\"]\n  4 [size=\"39307264\", alpha=\"0.14\", expect_size=\"19653632\"] \n  4 -> 7 [size =\"19653632\"]\n  4 -> 8 [size =\"19653632\"]\n  5 [size=\"81674240\", alpha=\"0.11\", expect_size=\"40837120\"] \n  5 -> 6 [size =\"40837120\"]\n  5 -> 7 [size =\"40837120\"]\n  5 -> 8 [size =\"40837120\"]\n  6 [size=\"33722368\", alpha=\"0.10\", expect_size=\"16861184\"] \n  6 -> 10 [size =\"16861184\"]\n  7 [size=\"75114496\", alpha=\"0.03\", expect_size=\"37557248\"] \n  7 -> 9 [size =\"37557248\"]\n  8 [size=\"48318464\", alpha=\"0.15\", expect_size=\"24159232\"] \n  8 -> 9 [size =\"24159232\"]\n  9 [size=\"63412224\", alpha=\"0.01\", expect_size=\"31706112\"] \n  10 [size=\"82601984\", alpha=\"0.14\", expect_size=\"41300992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66211840\", alpha=\"0.01\", expect_size=\"33105920\"] \n  1 -> 7 [size =\"33105920\"]\n  1 -> 8 [size =\"33105920\"]\n  1 -> 9 [size =\"33105920\"]\n  2 [size=\"33556480\", alpha=\"0.15\", expect_size=\"16778240\"] \n  2 -> 5 [size =\"16778240\"]\n  2 -> 6 [size =\"16778240\"]\n  3 [size=\"38072320\", alpha=\"0.20\", expect_size=\"19036160\"] \n  3 -> 5 [size =\"19036160\"]\n  4 [size=\"16424960\", alpha=\"0.05\", expect_size=\"8212480\"] \n  4 -> 7 [size =\"8212480\"]\n  4 -> 9 [size =\"8212480\"]\n  5 [size=\"70383616\", alpha=\"0.08\", expect_size=\"35191808\"] \n  5 -> 10 [size =\"35191808\"]\n  6 [size=\"52082688\", alpha=\"0.15\", expect_size=\"26041344\"] \n  7 [size=\"66543616\", alpha=\"0.03\", expect_size=\"33271808\"] \n  8 [size=\"23535616\", alpha=\"0.19\", expect_size=\"11767808\"] \n  8 -> 10 [size =\"11767808\"]\n  9 [size=\"73283584\", alpha=\"0.16\", expect_size=\"36641792\"] \n  10 [size=\"84529152\", alpha=\"0.08\", expect_size=\"42264576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73777152\", alpha=\"0.19\", expect_size=\"36888576\"] \n  1 -> 2 [size =\"36888576\"]\n  2 [size=\"42358784\", alpha=\"0.07\", expect_size=\"21179392\"] \n  2 -> 3 [size =\"21179392\"]\n  3 [size=\"97722368\", alpha=\"0.13\", expect_size=\"48861184\"] \n  3 -> 4 [size =\"48861184\"]\n  4 [size=\"82524160\", alpha=\"0.00\", expect_size=\"41262080\"] \n  4 -> 5 [size =\"41262080\"]\n  5 [size=\"46725120\", alpha=\"0.17\", expect_size=\"23362560\"] \n  5 -> 6 [size =\"23362560\"]\n  6 [size=\"28047360\", alpha=\"0.15\", expect_size=\"14023680\"] \n  6 -> 7 [size =\"14023680\"]\n  7 [size=\"51038208\", alpha=\"0.18\", expect_size=\"25519104\"] \n  7 -> 8 [size =\"25519104\"]\n  8 [size=\"79292416\", alpha=\"0.18\", expect_size=\"39646208\"] \n  8 -> 9 [size =\"39646208\"]\n  9 [size=\"71575552\", alpha=\"0.16\", expect_size=\"35787776\"] \n  9 -> 10 [size =\"35787776\"]\n  10 [size=\"49367040\", alpha=\"0.14\", expect_size=\"24683520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87237973\", alpha=\"0.07\", expect_size=\"26171392\"] \n  1 -> 2 [size =\"26171392\"]\n  2 [size=\"99034453\", alpha=\"0.11\", expect_size=\"29710336\"] \n  2 -> 3 [size =\"29710336\"]\n  3 [size=\"172864853\", alpha=\"0.07\", expect_size=\"51859456\"] \n  3 -> 4 [size =\"51859456\"]\n  4 [size=\"159371947\", alpha=\"0.04\", expect_size=\"47811584\"] \n  4 -> 5 [size =\"47811584\"]\n  5 [size=\"18472960\", alpha=\"0.02\", expect_size=\"5541888\"] \n  5 -> 6 [size =\"5541888\"]\n  6 [size=\"69444267\", alpha=\"0.11\", expect_size=\"20833280\"] \n  6 -> 7 [size =\"20833280\"]\n  7 [size=\"87579307\", alpha=\"0.11\", expect_size=\"26273792\"] \n  7 -> 8 [size =\"26273792\"]\n  8 [size=\"109568000\", alpha=\"0.18\", expect_size=\"32870400\"] \n  8 -> 9 [size =\"32870400\"]\n  9 [size=\"146326187\", alpha=\"0.17\", expect_size=\"43897856\"] \n  9 -> 10 [size =\"43897856\"]\n  10 [size=\"141629440\", alpha=\"0.05\", expect_size=\"42488832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67169280\", alpha=\"0.13\", expect_size=\"26867712\"] \n  1 -> 2 [size =\"26867712\"]\n  2 [size=\"26941440\", alpha=\"0.09\", expect_size=\"10776576\"] \n  2 -> 3 [size =\"10776576\"]\n  3 [size=\"112855040\", alpha=\"0.04\", expect_size=\"45142016\"] \n  3 -> 4 [size =\"45142016\"]\n  4 [size=\"38978560\", alpha=\"0.16\", expect_size=\"15591424\"] \n  4 -> 5 [size =\"15591424\"]\n  5 [size=\"119782400\", alpha=\"0.01\", expect_size=\"47912960\"] \n  5 -> 6 [size =\"47912960\"]\n  6 [size=\"105111040\", alpha=\"0.19\", expect_size=\"42044416\"] \n  6 -> 7 [size =\"42044416\"]\n  7 [size=\"86231040\", alpha=\"0.15\", expect_size=\"34492416\"] \n  7 -> 8 [size =\"34492416\"]\n  8 [size=\"69038080\", alpha=\"0.04\", expect_size=\"27615232\"] \n  8 -> 9 [size =\"27615232\"]\n  9 [size=\"112811520\", alpha=\"0.12\", expect_size=\"45124608\"] \n  9 -> 10 [size =\"45124608\"]\n  10 [size=\"17093120\", alpha=\"0.12\", expect_size=\"6837248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171260587\", alpha=\"0.09\", expect_size=\"51378176\"] \n  1 -> 2 [size =\"51378176\"]\n  2 [size=\"130993493\", alpha=\"0.08\", expect_size=\"39298048\"] \n  2 -> 3 [size =\"39298048\"]\n  3 [size=\"50541227\", alpha=\"0.12\", expect_size=\"15162368\"] \n  3 -> 4 [size =\"15162368\"]\n  4 [size=\"103215787\", alpha=\"0.18\", expect_size=\"30964736\"] \n  4 -> 5 [size =\"30964736\"]\n  5 [size=\"145336320\", alpha=\"0.10\", expect_size=\"43600896\"] \n  5 -> 6 [size =\"43600896\"]\n  6 [size=\"55627093\", alpha=\"0.17\", expect_size=\"16688128\"] \n  6 -> 7 [size =\"16688128\"]\n  7 [size=\"66266453\", alpha=\"0.20\", expect_size=\"19879936\"] \n  7 -> 8 [size =\"19879936\"]\n  8 [size=\"156299947\", alpha=\"0.11\", expect_size=\"46889984\"] \n  8 -> 9 [size =\"46889984\"]\n  9 [size=\"79691093\", alpha=\"0.08\", expect_size=\"23907328\"] \n  9 -> 10 [size =\"23907328\"]\n  10 [size=\"144575147\", alpha=\"0.19\", expect_size=\"43372544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57602048\", alpha=\"0.06\", expect_size=\"28801024\"] \n  1 -> 2 [size =\"28801024\"]\n  2 [size=\"88612864\", alpha=\"0.06\", expect_size=\"44306432\"] \n  2 -> 3 [size =\"44306432\"]\n  3 [size=\"17653760\", alpha=\"0.20\", expect_size=\"8826880\"] \n  3 -> 4 [size =\"8826880\"]\n  4 [size=\"45514752\", alpha=\"0.11\", expect_size=\"22757376\"] \n  4 -> 5 [size =\"22757376\"]\n  5 [size=\"31315968\", alpha=\"0.10\", expect_size=\"15657984\"] \n  5 -> 6 [size =\"15657984\"]\n  6 [size=\"29652992\", alpha=\"0.05\", expect_size=\"14826496\"] \n  6 -> 7 [size =\"14826496\"]\n  7 [size=\"104562688\", alpha=\"0.14\", expect_size=\"52281344\"] \n  7 -> 8 [size =\"52281344\"]\n  8 [size=\"84633600\", alpha=\"0.18\", expect_size=\"42316800\"] \n  8 -> 9 [size =\"42316800\"]\n  9 [size=\"99051520\", alpha=\"0.14\", expect_size=\"49525760\"] \n  9 -> 10 [size =\"49525760\"]\n  10 [size=\"64542720\", alpha=\"0.08\", expect_size=\"32271360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38285312\", alpha=\"0.15\", expect_size=\"19142656\"] \n  1 -> 6 [size =\"19142656\"]\n  1 -> 7 [size =\"19142656\"]\n  1 -> 8 [size =\"19142656\"]\n  2 [size=\"44292096\", alpha=\"0.06\", expect_size=\"22146048\"] \n  2 -> 8 [size =\"22146048\"]\n  3 [size=\"71192576\", alpha=\"0.12\", expect_size=\"35596288\"] \n  3 -> 8 [size =\"35596288\"]\n  4 [size=\"65327104\", alpha=\"0.14\", expect_size=\"32663552\"] \n  5 [size=\"80054272\", alpha=\"0.11\", expect_size=\"40027136\"] \n  5 -> 6 [size =\"40027136\"]\n  5 -> 7 [size =\"40027136\"]\n  6 [size=\"46415872\", alpha=\"0.19\", expect_size=\"23207936\"] \n  6 -> 9 [size =\"23207936\"]\n  6 -> 10 [size =\"23207936\"]\n  7 [size=\"24254464\", alpha=\"0.17\", expect_size=\"12127232\"] \n  7 -> 9 [size =\"12127232\"]\n  7 -> 10 [size =\"12127232\"]\n  8 [size=\"99756032\", alpha=\"0.01\", expect_size=\"49878016\"] \n  9 [size=\"23179264\", alpha=\"0.19\", expect_size=\"11589632\"] \n  10 [size=\"101232640\", alpha=\"0.04\", expect_size=\"50616320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86207147\", alpha=\"0.04\", expect_size=\"25862144\"] \n  1 -> 6 [size =\"25862144\"]\n  1 -> 7 [size =\"25862144\"]\n  1 -> 8 [size =\"25862144\"]\n  2 [size=\"30504960\", alpha=\"0.08\", expect_size=\"9151488\"] \n  2 -> 5 [size =\"9151488\"]\n  2 -> 6 [size =\"9151488\"]\n  2 -> 7 [size =\"9151488\"]\n  2 -> 8 [size =\"9151488\"]\n  3 [size=\"67119787\", alpha=\"0.19\", expect_size=\"20135936\"] \n  3 -> 5 [size =\"20135936\"]\n  3 -> 6 [size =\"20135936\"]\n  3 -> 8 [size =\"20135936\"]\n  3 -> 9 [size =\"20135936\"]\n  4 [size=\"157030400\", alpha=\"0.13\", expect_size=\"47109120\"] \n  4 -> 6 [size =\"47109120\"]\n  4 -> 7 [size =\"47109120\"]\n  4 -> 8 [size =\"47109120\"]\n  5 [size=\"42724693\", alpha=\"0.11\", expect_size=\"12817408\"] \n  5 -> 10 [size =\"12817408\"]\n  6 [size=\"138902187\", alpha=\"0.12\", expect_size=\"41670656\"] \n  6 -> 10 [size =\"41670656\"]\n  7 [size=\"58374827\", alpha=\"0.12\", expect_size=\"17512448\"] \n  7 -> 10 [size =\"17512448\"]\n  8 [size=\"160877227\", alpha=\"0.10\", expect_size=\"48263168\"] \n  8 -> 10 [size =\"48263168\"]\n  9 [size=\"22685013\", alpha=\"0.12\", expect_size=\"6805504\"] \n  9 -> 10 [size =\"6805504\"]\n  10 [size=\"127952213\", alpha=\"0.03\", expect_size=\"38385664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80765440\", alpha=\"0.02\", expect_size=\"32306176\"] \n  1 -> 6 [size =\"32306176\"]\n  2 [size=\"107563520\", alpha=\"0.10\", expect_size=\"43025408\"] \n  2 -> 6 [size =\"43025408\"]\n  2 -> 7 [size =\"43025408\"]\n  2 -> 8 [size =\"43025408\"]\n  3 [size=\"69757440\", alpha=\"0.05\", expect_size=\"27902976\"] \n  3 -> 5 [size =\"27902976\"]\n  3 -> 6 [size =\"27902976\"]\n  3 -> 8 [size =\"27902976\"]\n  4 [size=\"34869760\", alpha=\"0.13\", expect_size=\"13947904\"] \n  4 -> 6 [size =\"13947904\"]\n  4 -> 7 [size =\"13947904\"]\n  5 [size=\"21790720\", alpha=\"0.12\", expect_size=\"8716288\"] \n  5 -> 9 [size =\"8716288\"]\n  6 [size=\"89943040\", alpha=\"0.05\", expect_size=\"35977216\"] \n  6 -> 9 [size =\"35977216\"]\n  7 [size=\"55610880\", alpha=\"0.07\", expect_size=\"22244352\"] \n  7 -> 9 [size =\"22244352\"]\n  7 -> 10 [size =\"22244352\"]\n  8 [size=\"114713600\", alpha=\"0.08\", expect_size=\"45885440\"] \n  8 -> 9 [size =\"45885440\"]\n  8 -> 10 [size =\"45885440\"]\n  9 [size=\"120785920\", alpha=\"0.14\", expect_size=\"48314368\"] \n  10 [size=\"121740800\", alpha=\"0.02\", expect_size=\"48696320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21813760\", alpha=\"0.20\", expect_size=\"8725504\"] \n  1 -> 2 [size =\"8725504\"]\n  2 [size=\"41495040\", alpha=\"0.20\", expect_size=\"16598016\"] \n  2 -> 3 [size =\"16598016\"]\n  3 [size=\"75304960\", alpha=\"0.11\", expect_size=\"30121984\"] \n  3 -> 4 [size =\"30121984\"]\n  4 [size=\"32483840\", alpha=\"0.09\", expect_size=\"12993536\"] \n  4 -> 5 [size =\"12993536\"]\n  5 [size=\"112373760\", alpha=\"0.16\", expect_size=\"44949504\"] \n  5 -> 6 [size =\"44949504\"]\n  6 [size=\"17315840\", alpha=\"0.06\", expect_size=\"6926336\"] \n  6 -> 7 [size =\"6926336\"]\n  7 [size=\"99819520\", alpha=\"0.13\", expect_size=\"39927808\"] \n  7 -> 8 [size =\"39927808\"]\n  8 [size=\"59176960\", alpha=\"0.05\", expect_size=\"23670784\"] \n  8 -> 9 [size =\"23670784\"]\n  9 [size=\"84334080\", alpha=\"0.06\", expect_size=\"33733632\"] \n  9 -> 10 [size =\"33733632\"]\n  10 [size=\"86940160\", alpha=\"0.09\", expect_size=\"34776064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77232128\", alpha=\"0.12\", expect_size=\"38616064\"] \n  1 -> 8 [size =\"38616064\"]\n  1 -> 9 [size =\"38616064\"]\n  2 [size=\"11988992\", alpha=\"0.18\", expect_size=\"5994496\"] \n  3 [size=\"81117184\", alpha=\"0.02\", expect_size=\"40558592\"] \n  3 -> 10 [size =\"40558592\"]\n  4 [size=\"48713728\", alpha=\"0.07\", expect_size=\"24356864\"] \n  4 -> 7 [size =\"24356864\"]\n  4 -> 8 [size =\"24356864\"]\n  5 [size=\"68808704\", alpha=\"0.18\", expect_size=\"34404352\"] \n  5 -> 10 [size =\"34404352\"]\n  6 [size=\"25937920\", alpha=\"0.00\", expect_size=\"12968960\"] \n  6 -> 7 [size =\"12968960\"]\n  6 -> 9 [size =\"12968960\"]\n  7 [size=\"16128000\", alpha=\"0.15\", expect_size=\"8064000\"] \n  8 [size=\"42981376\", alpha=\"0.00\", expect_size=\"21490688\"] \n  9 [size=\"35858432\", alpha=\"0.09\", expect_size=\"17929216\"] \n  10 [size=\"103309312\", alpha=\"0.17\", expect_size=\"51654656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85696000\", alpha=\"0.12\", expect_size=\"34278400\"] \n  1 -> 2 [size =\"34278400\"]\n  2 [size=\"125429760\", alpha=\"0.07\", expect_size=\"50171904\"] \n  2 -> 3 [size =\"50171904\"]\n  3 [size=\"43658240\", alpha=\"0.16\", expect_size=\"17463296\"] \n  3 -> 4 [size =\"17463296\"]\n  4 [size=\"109593600\", alpha=\"0.14\", expect_size=\"43837440\"] \n  4 -> 5 [size =\"43837440\"]\n  5 [size=\"32005120\", alpha=\"0.05\", expect_size=\"12802048\"] \n  5 -> 6 [size =\"12802048\"]\n  6 [size=\"126543360\", alpha=\"0.12\", expect_size=\"50617344\"] \n  6 -> 7 [size =\"50617344\"]\n  7 [size=\"85688320\", alpha=\"0.02\", expect_size=\"34275328\"] \n  7 -> 8 [size =\"34275328\"]\n  8 [size=\"96348160\", alpha=\"0.09\", expect_size=\"38539264\"] \n  8 -> 9 [size =\"38539264\"]\n  9 [size=\"36802560\", alpha=\"0.18\", expect_size=\"14721024\"] \n  9 -> 10 [size =\"14721024\"]\n  10 [size=\"33006080\", alpha=\"0.05\", expect_size=\"13202432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28618752\", alpha=\"0.15\", expect_size=\"14309376\"] \n  1 -> 2 [size =\"14309376\"]\n  2 [size=\"99598336\", alpha=\"0.05\", expect_size=\"49799168\"] \n  2 -> 3 [size =\"49799168\"]\n  3 [size=\"85137408\", alpha=\"0.00\", expect_size=\"42568704\"] \n  3 -> 4 [size =\"42568704\"]\n  4 [size=\"19064832\", alpha=\"0.02\", expect_size=\"9532416\"] \n  4 -> 5 [size =\"9532416\"]\n  5 [size=\"38223872\", alpha=\"0.06\", expect_size=\"19111936\"] \n  5 -> 6 [size =\"19111936\"]\n  6 [size=\"24580096\", alpha=\"0.13\", expect_size=\"12290048\"] \n  6 -> 7 [size =\"12290048\"]\n  7 [size=\"68966400\", alpha=\"0.13\", expect_size=\"34483200\"] \n  7 -> 8 [size =\"34483200\"]\n  8 [size=\"23308288\", alpha=\"0.15\", expect_size=\"11654144\"] \n  8 -> 9 [size =\"11654144\"]\n  9 [size=\"75997184\", alpha=\"0.11\", expect_size=\"37998592\"] \n  9 -> 10 [size =\"37998592\"]\n  10 [size=\"27516928\", alpha=\"0.01\", expect_size=\"13758464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49108992\", alpha=\"0.16\", expect_size=\"24554496\"] \n  1 -> 10 [size =\"24554496\"]\n  2 [size=\"47192064\", alpha=\"0.02\", expect_size=\"23596032\"] \n  3 [size=\"53725184\", alpha=\"0.03\", expect_size=\"26862592\"] \n  3 -> 10 [size =\"26862592\"]\n  4 [size=\"14088192\", alpha=\"0.11\", expect_size=\"7044096\"] \n  5 [size=\"64020480\", alpha=\"0.12\", expect_size=\"32010240\"] \n  5 -> 10 [size =\"32010240\"]\n  6 [size=\"76595200\", alpha=\"0.13\", expect_size=\"38297600\"] \n  6 -> 10 [size =\"38297600\"]\n  7 [size=\"41183232\", alpha=\"0.01\", expect_size=\"20591616\"] \n  8 [size=\"38854656\", alpha=\"0.08\", expect_size=\"19427328\"] \n  9 [size=\"64722944\", alpha=\"0.06\", expect_size=\"32361472\"] \n  9 -> 10 [size =\"32361472\"]\n  10 [size=\"76537856\", alpha=\"0.02\", expect_size=\"38268928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104806400\", alpha=\"0.07\", expect_size=\"41922560\"] \n  1 -> 5 [size =\"41922560\"]\n  1 -> 7 [size =\"41922560\"]\n  1 -> 8 [size =\"41922560\"]\n  2 [size=\"61944320\", alpha=\"0.12\", expect_size=\"24777728\"] \n  2 -> 6 [size =\"24777728\"]\n  2 -> 9 [size =\"24777728\"]\n  3 [size=\"111073280\", alpha=\"0.17\", expect_size=\"44429312\"] \n  4 [size=\"36894720\", alpha=\"0.11\", expect_size=\"14757888\"] \n  4 -> 5 [size =\"14757888\"]\n  4 -> 7 [size =\"14757888\"]\n  4 -> 8 [size =\"14757888\"]\n  5 [size=\"92707840\", alpha=\"0.05\", expect_size=\"37083136\"] \n  6 [size=\"82670080\", alpha=\"0.20\", expect_size=\"33068032\"] \n  7 [size=\"61504000\", alpha=\"0.01\", expect_size=\"24601600\"] \n  7 -> 10 [size =\"24601600\"]\n  8 [size=\"91760640\", alpha=\"0.10\", expect_size=\"36704256\"] \n  9 [size=\"116840960\", alpha=\"0.07\", expect_size=\"46736384\"] \n  10 [size=\"83322880\", alpha=\"0.18\", expect_size=\"33329152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37283840\", alpha=\"0.01\", expect_size=\"11185152\"] \n  1 -> 8 [size =\"11185152\"]\n  2 [size=\"61450240\", alpha=\"0.06\", expect_size=\"18435072\"] \n  2 -> 8 [size =\"18435072\"]\n  2 -> 9 [size =\"18435072\"]\n  3 [size=\"125835947\", alpha=\"0.14\", expect_size=\"37750784\"] \n  4 [size=\"48346453\", alpha=\"0.05\", expect_size=\"14503936\"] \n  4 -> 8 [size =\"14503936\"]\n  4 -> 9 [size =\"14503936\"]\n  5 [size=\"24743253\", alpha=\"0.07\", expect_size=\"7422976\"] \n  5 -> 10 [size =\"7422976\"]\n  6 [size=\"60330667\", alpha=\"0.16\", expect_size=\"18099200\"] \n  7 [size=\"38297600\", alpha=\"0.18\", expect_size=\"11489280\"] \n  7 -> 8 [size =\"11489280\"]\n  8 [size=\"65597440\", alpha=\"0.07\", expect_size=\"19679232\"] \n  9 [size=\"86425600\", alpha=\"0.14\", expect_size=\"25927680\"] \n  10 [size=\"93634560\", alpha=\"0.09\", expect_size=\"28090368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63064064\", alpha=\"0.14\", expect_size=\"31532032\"] \n  1 -> 5 [size =\"31532032\"]\n  1 -> 6 [size =\"31532032\"]\n  1 -> 7 [size =\"31532032\"]\n  2 [size=\"91387904\", alpha=\"0.06\", expect_size=\"45693952\"] \n  3 [size=\"73535488\", alpha=\"0.10\", expect_size=\"36767744\"] \n  3 -> 6 [size =\"36767744\"]\n  4 [size=\"86503424\", alpha=\"0.10\", expect_size=\"43251712\"] \n  4 -> 5 [size =\"43251712\"]\n  4 -> 6 [size =\"43251712\"]\n  4 -> 7 [size =\"43251712\"]\n  5 [size=\"11571200\", alpha=\"0.06\", expect_size=\"5785600\"] \n  5 -> 10 [size =\"5785600\"]\n  6 [size=\"91676672\", alpha=\"0.15\", expect_size=\"45838336\"] \n  6 -> 8 [size =\"45838336\"]\n  7 [size=\"69408768\", alpha=\"0.11\", expect_size=\"34704384\"] \n  7 -> 8 [size =\"34704384\"]\n  7 -> 9 [size =\"34704384\"]\n  7 -> 10 [size =\"34704384\"]\n  8 [size=\"18173952\", alpha=\"0.07\", expect_size=\"9086976\"] \n  9 [size=\"72445952\", alpha=\"0.02\", expect_size=\"36222976\"] \n  10 [size=\"62674944\", alpha=\"0.06\", expect_size=\"31337472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52249600\", alpha=\"0.16\", expect_size=\"20899840\"] \n  2 [size=\"31636480\", alpha=\"0.19\", expect_size=\"12654592\"] \n  2 -> 9 [size =\"12654592\"]\n  2 -> 10 [size =\"12654592\"]\n  3 [size=\"119720960\", alpha=\"0.14\", expect_size=\"47888384\"] \n  3 -> 9 [size =\"47888384\"]\n  4 [size=\"111626240\", alpha=\"0.19\", expect_size=\"44650496\"] \n  4 -> 8 [size =\"44650496\"]\n  4 -> 9 [size =\"44650496\"]\n  5 [size=\"72327680\", alpha=\"0.01\", expect_size=\"28931072\"] \n  5 -> 9 [size =\"28931072\"]\n  6 [size=\"50455040\", alpha=\"0.09\", expect_size=\"20182016\"] \n  7 [size=\"61009920\", alpha=\"0.04\", expect_size=\"24403968\"] \n  7 -> 9 [size =\"24403968\"]\n  8 [size=\"45112320\", alpha=\"0.15\", expect_size=\"18044928\"] \n  9 [size=\"102087680\", alpha=\"0.11\", expect_size=\"40835072\"] \n  10 [size=\"38069760\", alpha=\"0.04\", expect_size=\"15227904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31817728\", alpha=\"0.08\", expect_size=\"15908864\"] \n  1 -> 2 [size =\"15908864\"]\n  2 [size=\"64296960\", alpha=\"0.17\", expect_size=\"32148480\"] \n  2 -> 3 [size =\"32148480\"]\n  3 [size=\"51511296\", alpha=\"0.03\", expect_size=\"25755648\"] \n  3 -> 4 [size =\"25755648\"]\n  4 [size=\"34664448\", alpha=\"0.07\", expect_size=\"17332224\"] \n  4 -> 5 [size =\"17332224\"]\n  5 [size=\"66160640\", alpha=\"0.10\", expect_size=\"33080320\"] \n  5 -> 6 [size =\"33080320\"]\n  6 [size=\"77398016\", alpha=\"0.19\", expect_size=\"38699008\"] \n  6 -> 7 [size =\"38699008\"]\n  7 [size=\"31346688\", alpha=\"0.00\", expect_size=\"15673344\"] \n  7 -> 8 [size =\"15673344\"]\n  8 [size=\"68179968\", alpha=\"0.09\", expect_size=\"34089984\"] \n  8 -> 9 [size =\"34089984\"]\n  9 [size=\"99870720\", alpha=\"0.01\", expect_size=\"49935360\"] \n  9 -> 10 [size =\"49935360\"]\n  10 [size=\"80930816\", alpha=\"0.11\", expect_size=\"40465408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18176000\", alpha=\"0.13\", expect_size=\"7270400\"] \n  1 -> 3 [size =\"7270400\"]\n  1 -> 4 [size =\"7270400\"]\n  1 -> 5 [size =\"7270400\"]\n  2 [size=\"28321280\", alpha=\"0.15\", expect_size=\"11328512\"] \n  2 -> 3 [size =\"11328512\"]\n  2 -> 4 [size =\"11328512\"]\n  3 [size=\"129507840\", alpha=\"0.04\", expect_size=\"51803136\"] \n  3 -> 6 [size =\"51803136\"]\n  3 -> 7 [size =\"51803136\"]\n  4 [size=\"127930880\", alpha=\"0.16\", expect_size=\"51172352\"] \n  5 [size=\"116884480\", alpha=\"0.02\", expect_size=\"46753792\"] \n  5 -> 6 [size =\"46753792\"]\n  5 -> 7 [size =\"46753792\"]\n  6 [size=\"37045760\", alpha=\"0.20\", expect_size=\"14818304\"] \n  6 -> 9 [size =\"14818304\"]\n  7 [size=\"103329280\", alpha=\"0.03\", expect_size=\"41331712\"] \n  7 -> 8 [size =\"41331712\"]\n  8 [size=\"84392960\", alpha=\"0.18\", expect_size=\"33757184\"] \n  8 -> 10 [size =\"33757184\"]\n  9 [size=\"69749760\", alpha=\"0.00\", expect_size=\"27899904\"] \n  10 [size=\"30794240\", alpha=\"0.10\", expect_size=\"12317696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71741440\", alpha=\"0.08\", expect_size=\"35870720\"] \n  1 -> 9 [size =\"35870720\"]\n  2 [size=\"56145920\", alpha=\"0.14\", expect_size=\"28072960\"] \n  3 [size=\"33052672\", alpha=\"0.15\", expect_size=\"16526336\"] \n  4 [size=\"86894592\", alpha=\"0.16\", expect_size=\"43447296\"] \n  4 -> 10 [size =\"43447296\"]\n  5 [size=\"53485568\", alpha=\"0.03\", expect_size=\"26742784\"] \n  6 [size=\"48922624\", alpha=\"0.18\", expect_size=\"24461312\"] \n  7 [size=\"43202560\", alpha=\"0.18\", expect_size=\"21601280\"] \n  7 -> 10 [size =\"21601280\"]\n  8 [size=\"58243072\", alpha=\"0.13\", expect_size=\"29121536\"] \n  9 [size=\"12640256\", alpha=\"0.12\", expect_size=\"6320128\"] \n  10 [size=\"67753984\", alpha=\"0.08\", expect_size=\"33876992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138656427\", alpha=\"0.09\", expect_size=\"41596928\"] \n  1 -> 4 [size =\"41596928\"]\n  1 -> 5 [size =\"41596928\"]\n  2 [size=\"66986667\", alpha=\"0.10\", expect_size=\"20096000\"] \n  2 -> 3 [size =\"20096000\"]\n  2 -> 5 [size =\"20096000\"]\n  3 [size=\"141380267\", alpha=\"0.16\", expect_size=\"42414080\"] \n  4 [size=\"78284800\", alpha=\"0.12\", expect_size=\"23485440\"] \n  4 -> 6 [size =\"23485440\"]\n  4 -> 7 [size =\"23485440\"]\n  5 [size=\"22381227\", alpha=\"0.16\", expect_size=\"6714368\"] \n  5 -> 8 [size =\"6714368\"]\n  6 [size=\"133140480\", alpha=\"0.03\", expect_size=\"39942144\"] \n  6 -> 9 [size =\"39942144\"]\n  6 -> 10 [size =\"39942144\"]\n  7 [size=\"67256320\", alpha=\"0.18\", expect_size=\"20176896\"] \n  8 [size=\"111274667\", alpha=\"0.12\", expect_size=\"33382400\"] \n  9 [size=\"141707947\", alpha=\"0.15\", expect_size=\"42512384\"] \n  10 [size=\"148462933\", alpha=\"0.10\", expect_size=\"44538880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48228352\", alpha=\"0.07\", expect_size=\"24114176\"] \n  1 -> 5 [size =\"24114176\"]\n  1 -> 8 [size =\"24114176\"]\n  2 [size=\"75745280\", alpha=\"0.09\", expect_size=\"37872640\"] \n  2 -> 8 [size =\"37872640\"]\n  2 -> 9 [size =\"37872640\"]\n  3 [size=\"75304960\", alpha=\"0.19\", expect_size=\"37652480\"] \n  3 -> 6 [size =\"37652480\"]\n  3 -> 7 [size =\"37652480\"]\n  3 -> 9 [size =\"37652480\"]\n  4 [size=\"22263808\", alpha=\"0.19\", expect_size=\"11131904\"] \n  4 -> 6 [size =\"11131904\"]\n  4 -> 7 [size =\"11131904\"]\n  5 [size=\"13492224\", alpha=\"0.19\", expect_size=\"6746112\"] \n  5 -> 10 [size =\"6746112\"]\n  6 [size=\"75186176\", alpha=\"0.13\", expect_size=\"37593088\"] \n  7 [size=\"84467712\", alpha=\"0.00\", expect_size=\"42233856\"] \n  8 [size=\"90507264\", alpha=\"0.17\", expect_size=\"45253632\"] \n  8 -> 10 [size =\"45253632\"]\n  9 [size=\"59254784\", alpha=\"0.08\", expect_size=\"29627392\"] \n  9 -> 10 [size =\"29627392\"]\n  10 [size=\"54161408\", alpha=\"0.01\", expect_size=\"27080704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38440960\", alpha=\"0.01\", expect_size=\"15376384\"] \n  1 -> 2 [size =\"15376384\"]\n  2 [size=\"19281920\", alpha=\"0.14\", expect_size=\"7712768\"] \n  2 -> 3 [size =\"7712768\"]\n  3 [size=\"31969280\", alpha=\"0.18\", expect_size=\"12787712\"] \n  3 -> 4 [size =\"12787712\"]\n  4 [size=\"121832960\", alpha=\"0.05\", expect_size=\"48733184\"] \n  4 -> 5 [size =\"48733184\"]\n  5 [size=\"96680960\", alpha=\"0.05\", expect_size=\"38672384\"] \n  5 -> 6 [size =\"38672384\"]\n  6 [size=\"27164160\", alpha=\"0.11\", expect_size=\"10865664\"] \n  6 -> 7 [size =\"10865664\"]\n  7 [size=\"109696000\", alpha=\"0.08\", expect_size=\"43878400\"] \n  7 -> 8 [size =\"43878400\"]\n  8 [size=\"78607360\", alpha=\"0.12\", expect_size=\"31442944\"] \n  8 -> 9 [size =\"31442944\"]\n  9 [size=\"102540800\", alpha=\"0.17\", expect_size=\"41016320\"] \n  9 -> 10 [size =\"41016320\"]\n  10 [size=\"127751680\", alpha=\"0.10\", expect_size=\"51100672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146831360\", alpha=\"0.08\", expect_size=\"44049408\"] \n  1 -> 2 [size =\"44049408\"]\n  2 [size=\"110284800\", alpha=\"0.19\", expect_size=\"33085440\"] \n  2 -> 3 [size =\"33085440\"]\n  3 [size=\"135994027\", alpha=\"0.11\", expect_size=\"40798208\"] \n  3 -> 4 [size =\"40798208\"]\n  4 [size=\"76953600\", alpha=\"0.08\", expect_size=\"23086080\"] \n  4 -> 5 [size =\"23086080\"]\n  5 [size=\"115401387\", alpha=\"0.16\", expect_size=\"34620416\"] \n  5 -> 6 [size =\"34620416\"]\n  6 [size=\"97341440\", alpha=\"0.18\", expect_size=\"29202432\"] \n  6 -> 7 [size =\"29202432\"]\n  7 [size=\"120241493\", alpha=\"0.14\", expect_size=\"36072448\"] \n  7 -> 8 [size =\"36072448\"]\n  8 [size=\"37734400\", alpha=\"0.03\", expect_size=\"11320320\"] \n  8 -> 9 [size =\"11320320\"]\n  9 [size=\"122443093\", alpha=\"0.09\", expect_size=\"36732928\"] \n  9 -> 10 [size =\"36732928\"]\n  10 [size=\"29883733\", alpha=\"0.11\", expect_size=\"8965120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69751467\", alpha=\"0.04\", expect_size=\"20925440\"] \n  1 -> 2 [size =\"20925440\"]\n  2 [size=\"46209707\", alpha=\"0.17\", expect_size=\"13862912\"] \n  2 -> 3 [size =\"13862912\"]\n  3 [size=\"112390827\", alpha=\"0.19\", expect_size=\"33717248\"] \n  3 -> 4 [size =\"33717248\"]\n  4 [size=\"46690987\", alpha=\"0.09\", expect_size=\"14007296\"] \n  4 -> 5 [size =\"14007296\"]\n  5 [size=\"18851840\", alpha=\"0.05\", expect_size=\"5655552\"] \n  5 -> 6 [size =\"5655552\"]\n  6 [size=\"165765120\", alpha=\"0.05\", expect_size=\"49729536\"] \n  6 -> 7 [size =\"49729536\"]\n  7 [size=\"144858453\", alpha=\"0.18\", expect_size=\"43457536\"] \n  7 -> 8 [size =\"43457536\"]\n  8 [size=\"95505067\", alpha=\"0.09\", expect_size=\"28651520\"] \n  8 -> 9 [size =\"28651520\"]\n  9 [size=\"122494293\", alpha=\"0.14\", expect_size=\"36748288\"] \n  9 -> 10 [size =\"36748288\"]\n  10 [size=\"63515307\", alpha=\"0.17\", expect_size=\"19054592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93941760\", alpha=\"0.15\", expect_size=\"37576704\"] \n  2 [size=\"96122880\", alpha=\"0.04\", expect_size=\"38449152\"] \n  2 -> 10 [size =\"38449152\"]\n  3 [size=\"49451520\", alpha=\"0.17\", expect_size=\"19780608\"] \n  3 -> 10 [size =\"19780608\"]\n  4 [size=\"65669120\", alpha=\"0.16\", expect_size=\"26267648\"] \n  5 [size=\"59351040\", alpha=\"0.20\", expect_size=\"23740416\"] \n  6 [size=\"80852480\", alpha=\"0.01\", expect_size=\"32340992\"] \n  7 [size=\"83804160\", alpha=\"0.09\", expect_size=\"33521664\"] \n  8 [size=\"42810880\", alpha=\"0.19\", expect_size=\"17124352\"] \n  9 [size=\"91136000\", alpha=\"0.11\", expect_size=\"36454400\"] \n  10 [size=\"47761920\", alpha=\"0.10\", expect_size=\"19104768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125885440\", alpha=\"0.13\", expect_size=\"50354176\"] \n  1 -> 4 [size =\"50354176\"]\n  1 -> 5 [size =\"50354176\"]\n  1 -> 6 [size =\"50354176\"]\n  1 -> 7 [size =\"50354176\"]\n  2 [size=\"21821440\", alpha=\"0.08\", expect_size=\"8728576\"] \n  2 -> 4 [size =\"8728576\"]\n  2 -> 5 [size =\"8728576\"]\n  2 -> 6 [size =\"8728576\"]\n  2 -> 7 [size =\"8728576\"]\n  3 [size=\"114224640\", alpha=\"0.05\", expect_size=\"45689856\"] \n  3 -> 4 [size =\"45689856\"]\n  3 -> 5 [size =\"45689856\"]\n  3 -> 6 [size =\"45689856\"]\n  3 -> 7 [size =\"45689856\"]\n  4 [size=\"51658240\", alpha=\"0.17\", expect_size=\"20663296\"] \n  4 -> 8 [size =\"20663296\"]\n  4 -> 9 [size =\"20663296\"]\n  5 [size=\"36556800\", alpha=\"0.12\", expect_size=\"14622720\"] \n  5 -> 8 [size =\"14622720\"]\n  5 -> 10 [size =\"14622720\"]\n  6 [size=\"97984000\", alpha=\"0.04\", expect_size=\"39193600\"] \n  6 -> 8 [size =\"39193600\"]\n  6 -> 9 [size =\"39193600\"]\n  7 [size=\"37158400\", alpha=\"0.19\", expect_size=\"14863360\"] \n  7 -> 8 [size =\"14863360\"]\n  7 -> 9 [size =\"14863360\"]\n  7 -> 10 [size =\"14863360\"]\n  8 [size=\"32962560\", alpha=\"0.11\", expect_size=\"13185024\"] \n  9 [size=\"79324160\", alpha=\"0.07\", expect_size=\"31729664\"] \n  10 [size=\"56499200\", alpha=\"0.16\", expect_size=\"22599680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78189227\", alpha=\"0.19\", expect_size=\"23456768\"] \n  1 -> 7 [size =\"23456768\"]\n  1 -> 9 [size =\"23456768\"]\n  1 -> 10 [size =\"23456768\"]\n  2 [size=\"29303467\", alpha=\"0.07\", expect_size=\"8791040\"] \n  2 -> 7 [size =\"8791040\"]\n  2 -> 10 [size =\"8791040\"]\n  3 [size=\"19968000\", alpha=\"0.18\", expect_size=\"5990400\"] \n  3 -> 10 [size =\"5990400\"]\n  4 [size=\"29443413\", alpha=\"0.00\", expect_size=\"8833024\"] \n  4 -> 7 [size =\"8833024\"]\n  5 [size=\"149271893\", alpha=\"0.14\", expect_size=\"44781568\"] \n  5 -> 8 [size =\"44781568\"]\n  6 [size=\"34269867\", alpha=\"0.03\", expect_size=\"10280960\"] \n  6 -> 8 [size =\"10280960\"]\n  7 [size=\"152627200\", alpha=\"0.15\", expect_size=\"45788160\"] \n  8 [size=\"49087147\", alpha=\"0.17\", expect_size=\"14726144\"] \n  9 [size=\"168198827\", alpha=\"0.18\", expect_size=\"50459648\"] \n  10 [size=\"95901013\", alpha=\"0.05\", expect_size=\"28770304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161624747\", alpha=\"0.19\", expect_size=\"48487424\"] \n  1 -> 2 [size =\"48487424\"]\n  2 [size=\"34314240\", alpha=\"0.01\", expect_size=\"10294272\"] \n  2 -> 3 [size =\"10294272\"]\n  3 [size=\"106926080\", alpha=\"0.20\", expect_size=\"32077824\"] \n  3 -> 4 [size =\"32077824\"]\n  4 [size=\"174059520\", alpha=\"0.19\", expect_size=\"52217856\"] \n  4 -> 5 [size =\"52217856\"]\n  5 [size=\"119637333\", alpha=\"0.12\", expect_size=\"35891200\"] \n  5 -> 6 [size =\"35891200\"]\n  6 [size=\"64549547\", alpha=\"0.07\", expect_size=\"19364864\"] \n  6 -> 7 [size =\"19364864\"]\n  7 [size=\"29521920\", alpha=\"0.17\", expect_size=\"8856576\"] \n  7 -> 8 [size =\"8856576\"]\n  8 [size=\"38686720\", alpha=\"0.07\", expect_size=\"11606016\"] \n  8 -> 9 [size =\"11606016\"]\n  9 [size=\"154828800\", alpha=\"0.07\", expect_size=\"46448640\"] \n  9 -> 10 [size =\"46448640\"]\n  10 [size=\"79366827\", alpha=\"0.19\", expect_size=\"23810048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78055424\", alpha=\"0.15\", expect_size=\"39027712\"] \n  1 -> 3 [size =\"39027712\"]\n  1 -> 4 [size =\"39027712\"]\n  2 [size=\"61126656\", alpha=\"0.07\", expect_size=\"30563328\"] \n  2 -> 4 [size =\"30563328\"]\n  3 [size=\"52115456\", alpha=\"0.15\", expect_size=\"26057728\"] \n  3 -> 6 [size =\"26057728\"]\n  3 -> 7 [size =\"26057728\"]\n  4 [size=\"78198784\", alpha=\"0.09\", expect_size=\"39099392\"] \n  4 -> 5 [size =\"39099392\"]\n  4 -> 6 [size =\"39099392\"]\n  5 [size=\"99225600\", alpha=\"0.18\", expect_size=\"49612800\"] \n  5 -> 8 [size =\"49612800\"]\n  5 -> 10 [size =\"49612800\"]\n  6 [size=\"41574400\", alpha=\"0.11\", expect_size=\"20787200\"] \n  6 -> 8 [size =\"20787200\"]\n  7 [size=\"16863232\", alpha=\"0.11\", expect_size=\"8431616\"] \n  7 -> 9 [size =\"8431616\"]\n  7 -> 10 [size =\"8431616\"]\n  8 [size=\"83435520\", alpha=\"0.15\", expect_size=\"41717760\"] \n  9 [size=\"36909056\", alpha=\"0.02\", expect_size=\"18454528\"] \n  10 [size=\"63227904\", alpha=\"0.14\", expect_size=\"31613952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127634773\", alpha=\"0.12\", expect_size=\"38290432\"] \n  1 -> 8 [size =\"38290432\"]\n  2 [size=\"158774613\", alpha=\"0.02\", expect_size=\"47632384\"] \n  2 -> 7 [size =\"47632384\"]\n  3 [size=\"72011093\", alpha=\"0.19\", expect_size=\"21603328\"] \n  3 -> 7 [size =\"21603328\"]\n  4 [size=\"24562347\", alpha=\"0.16\", expect_size=\"7368704\"] \n  4 -> 8 [size =\"7368704\"]\n  4 -> 9 [size =\"7368704\"]\n  4 -> 10 [size =\"7368704\"]\n  5 [size=\"62272853\", alpha=\"0.06\", expect_size=\"18681856\"] \n  5 -> 7 [size =\"18681856\"]\n  5 -> 10 [size =\"18681856\"]\n  6 [size=\"125883733\", alpha=\"0.03\", expect_size=\"37765120\"] \n  6 -> 8 [size =\"37765120\"]\n  6 -> 10 [size =\"37765120\"]\n  7 [size=\"63064747\", alpha=\"0.19\", expect_size=\"18919424\"] \n  8 [size=\"84104533\", alpha=\"0.14\", expect_size=\"25231360\"] \n  9 [size=\"129501867\", alpha=\"0.19\", expect_size=\"38850560\"] \n  10 [size=\"155316907\", alpha=\"0.09\", expect_size=\"46595072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66117120\", alpha=\"0.14\", expect_size=\"26446848\"] \n  2 [size=\"97274880\", alpha=\"0.04\", expect_size=\"38909952\"] \n  3 [size=\"128156160\", alpha=\"0.17\", expect_size=\"51262464\"] \n  3 -> 4 [size =\"51262464\"]\n  4 [size=\"62684160\", alpha=\"0.16\", expect_size=\"25073664\"] \n  4 -> 5 [size =\"25073664\"]\n  4 -> 6 [size =\"25073664\"]\n  4 -> 7 [size =\"25073664\"]\n  5 [size=\"32184320\", alpha=\"0.03\", expect_size=\"12873728\"] \n  5 -> 9 [size =\"12873728\"]\n  5 -> 10 [size =\"12873728\"]\n  6 [size=\"127644160\", alpha=\"0.15\", expect_size=\"51057664\"] \n  7 [size=\"56993280\", alpha=\"0.20\", expect_size=\"22797312\"] \n  7 -> 8 [size =\"22797312\"]\n  7 -> 10 [size =\"22797312\"]\n  8 [size=\"93588480\", alpha=\"0.11\", expect_size=\"37435392\"] \n  9 [size=\"88680960\", alpha=\"0.01\", expect_size=\"35472384\"] \n  10 [size=\"54533120\", alpha=\"0.17\", expect_size=\"21813248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172410880\", alpha=\"0.13\", expect_size=\"51723264\"] \n  1 -> 2 [size =\"51723264\"]\n  2 [size=\"98133333\", alpha=\"0.14\", expect_size=\"29440000\"] \n  2 -> 3 [size =\"29440000\"]\n  3 [size=\"97959253\", alpha=\"0.11\", expect_size=\"29387776\"] \n  3 -> 4 [size =\"29387776\"]\n  4 [size=\"139960320\", alpha=\"0.07\", expect_size=\"41988096\"] \n  4 -> 5 [size =\"41988096\"]\n  5 [size=\"58139307\", alpha=\"0.08\", expect_size=\"17441792\"] \n  5 -> 6 [size =\"17441792\"]\n  6 [size=\"114657280\", alpha=\"0.08\", expect_size=\"34397184\"] \n  6 -> 7 [size =\"34397184\"]\n  7 [size=\"142994773\", alpha=\"0.15\", expect_size=\"42898432\"] \n  7 -> 8 [size =\"42898432\"]\n  8 [size=\"130662400\", alpha=\"0.13\", expect_size=\"39198720\"] \n  8 -> 9 [size =\"39198720\"]\n  9 [size=\"98389333\", alpha=\"0.09\", expect_size=\"29516800\"] \n  9 -> 10 [size =\"29516800\"]\n  10 [size=\"161778347\", alpha=\"0.20\", expect_size=\"48533504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69884587\", alpha=\"0.04\", expect_size=\"20965376\"] \n  1 -> 7 [size =\"20965376\"]\n  2 [size=\"162795520\", alpha=\"0.14\", expect_size=\"48838656\"] \n  2 -> 6 [size =\"48838656\"]\n  3 [size=\"32686080\", alpha=\"0.02\", expect_size=\"9805824\"] \n  3 -> 5 [size =\"9805824\"]\n  3 -> 6 [size =\"9805824\"]\n  4 [size=\"150050133\", alpha=\"0.15\", expect_size=\"45015040\"] \n  4 -> 7 [size =\"45015040\"]\n  4 -> 8 [size =\"45015040\"]\n  5 [size=\"31416320\", alpha=\"0.15\", expect_size=\"9424896\"] \n  5 -> 9 [size =\"9424896\"]\n  5 -> 10 [size =\"9424896\"]\n  6 [size=\"60235093\", alpha=\"0.15\", expect_size=\"18070528\"] \n  7 [size=\"67048107\", alpha=\"0.18\", expect_size=\"20114432\"] \n  8 [size=\"126518613\", alpha=\"0.20\", expect_size=\"37955584\"] \n  8 -> 9 [size =\"37955584\"]\n  9 [size=\"80472747\", alpha=\"0.15\", expect_size=\"24141824\"] \n  10 [size=\"30747307\", alpha=\"0.19\", expect_size=\"9224192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123671040\", alpha=\"0.04\", expect_size=\"49468416\"] \n  1 -> 5 [size =\"49468416\"]\n  1 -> 7 [size =\"49468416\"]\n  1 -> 8 [size =\"49468416\"]\n  1 -> 9 [size =\"49468416\"]\n  2 [size=\"87165440\", alpha=\"0.14\", expect_size=\"34866176\"] \n  2 -> 6 [size =\"34866176\"]\n  2 -> 7 [size =\"34866176\"]\n  2 -> 9 [size =\"34866176\"]\n  3 [size=\"77061120\", alpha=\"0.10\", expect_size=\"30824448\"] \n  3 -> 5 [size =\"30824448\"]\n  3 -> 6 [size =\"30824448\"]\n  4 [size=\"65553920\", alpha=\"0.05\", expect_size=\"26221568\"] \n  4 -> 8 [size =\"26221568\"]\n  5 [size=\"87782400\", alpha=\"0.16\", expect_size=\"35112960\"] \n  5 -> 10 [size =\"35112960\"]\n  6 [size=\"122145280\", alpha=\"0.14\", expect_size=\"48858112\"] \n  7 [size=\"126725120\", alpha=\"0.13\", expect_size=\"50690048\"] \n  8 [size=\"58268160\", alpha=\"0.19\", expect_size=\"23307264\"] \n  8 -> 10 [size =\"23307264\"]\n  9 [size=\"107294720\", alpha=\"0.05\", expect_size=\"42917888\"] \n  9 -> 10 [size =\"42917888\"]\n  10 [size=\"130119680\", alpha=\"0.10\", expect_size=\"52047872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21998933\", alpha=\"0.05\", expect_size=\"6599680\"] \n  1 -> 2 [size =\"6599680\"]\n  2 [size=\"53169493\", alpha=\"0.01\", expect_size=\"15950848\"] \n  2 -> 3 [size =\"15950848\"]\n  3 [size=\"56261973\", alpha=\"0.16\", expect_size=\"16878592\"] \n  3 -> 4 [size =\"16878592\"]\n  4 [size=\"86101333\", alpha=\"0.12\", expect_size=\"25830400\"] \n  4 -> 5 [size =\"25830400\"]\n  5 [size=\"109038933\", alpha=\"0.17\", expect_size=\"32711680\"] \n  5 -> 6 [size =\"32711680\"]\n  6 [size=\"103976960\", alpha=\"0.14\", expect_size=\"31193088\"] \n  6 -> 7 [size =\"31193088\"]\n  7 [size=\"125381973\", alpha=\"0.15\", expect_size=\"37614592\"] \n  7 -> 8 [size =\"37614592\"]\n  8 [size=\"24504320\", alpha=\"0.07\", expect_size=\"7351296\"] \n  8 -> 9 [size =\"7351296\"]\n  9 [size=\"37007360\", alpha=\"0.00\", expect_size=\"11102208\"] \n  9 -> 10 [size =\"11102208\"]\n  10 [size=\"92405760\", alpha=\"0.06\", expect_size=\"27721728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34109440\", alpha=\"0.01\", expect_size=\"10232832\"] \n  1 -> 3 [size =\"10232832\"]\n  1 -> 4 [size =\"10232832\"]\n  2 [size=\"80469333\", alpha=\"0.01\", expect_size=\"24140800\"] \n  3 [size=\"43048960\", alpha=\"0.07\", expect_size=\"12914688\"] \n  3 -> 5 [size =\"12914688\"]\n  3 -> 6 [size =\"12914688\"]\n  4 [size=\"127423147\", alpha=\"0.02\", expect_size=\"38226944\"] \n  4 -> 6 [size =\"38226944\"]\n  4 -> 7 [size =\"38226944\"]\n  5 [size=\"147961173\", alpha=\"0.15\", expect_size=\"44388352\"] \n  6 [size=\"97785173\", alpha=\"0.10\", expect_size=\"29335552\"] \n  6 -> 8 [size =\"29335552\"]\n  6 -> 9 [size =\"29335552\"]\n  7 [size=\"116770133\", alpha=\"0.00\", expect_size=\"35031040\"] \n  7 -> 8 [size =\"35031040\"]\n  8 [size=\"144186027\", alpha=\"0.07\", expect_size=\"43255808\"] \n  9 [size=\"18981547\", alpha=\"0.09\", expect_size=\"5694464\"] \n  9 -> 10 [size =\"5694464\"]\n  10 [size=\"79605760\", alpha=\"0.13\", expect_size=\"23881728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80414720\", alpha=\"0.17\", expect_size=\"32165888\"] \n  1 -> 2 [size =\"32165888\"]\n  2 [size=\"123845120\", alpha=\"0.08\", expect_size=\"49538048\"] \n  2 -> 3 [size =\"49538048\"]\n  3 [size=\"128552960\", alpha=\"0.02\", expect_size=\"51421184\"] \n  3 -> 4 [size =\"51421184\"]\n  4 [size=\"23772160\", alpha=\"0.16\", expect_size=\"9508864\"] \n  4 -> 5 [size =\"9508864\"]\n  5 [size=\"119444480\", alpha=\"0.05\", expect_size=\"47777792\"] \n  5 -> 6 [size =\"47777792\"]\n  6 [size=\"128325120\", alpha=\"0.10\", expect_size=\"51330048\"] \n  6 -> 7 [size =\"51330048\"]\n  7 [size=\"21061120\", alpha=\"0.14\", expect_size=\"8424448\"] \n  7 -> 8 [size =\"8424448\"]\n  8 [size=\"114731520\", alpha=\"0.01\", expect_size=\"45892608\"] \n  8 -> 9 [size =\"45892608\"]\n  9 [size=\"98465280\", alpha=\"0.12\", expect_size=\"39386112\"] \n  9 -> 10 [size =\"39386112\"]\n  10 [size=\"74739200\", alpha=\"0.02\", expect_size=\"29895680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32802133\", alpha=\"0.03\", expect_size=\"9840640\"] \n  1 -> 2 [size =\"9840640\"]\n  2 [size=\"104232960\", alpha=\"0.17\", expect_size=\"31269888\"] \n  2 -> 3 [size =\"31269888\"]\n  3 [size=\"72966827\", alpha=\"0.20\", expect_size=\"21890048\"] \n  3 -> 4 [size =\"21890048\"]\n  4 [size=\"84630187\", alpha=\"0.18\", expect_size=\"25389056\"] \n  4 -> 5 [size =\"25389056\"]\n  5 [size=\"146800640\", alpha=\"0.05\", expect_size=\"44040192\"] \n  5 -> 6 [size =\"44040192\"]\n  6 [size=\"167406933\", alpha=\"0.08\", expect_size=\"50222080\"] \n  6 -> 7 [size =\"50222080\"]\n  7 [size=\"60511573\", alpha=\"0.19\", expect_size=\"18153472\"] \n  7 -> 8 [size =\"18153472\"]\n  8 [size=\"141458773\", alpha=\"0.18\", expect_size=\"42437632\"] \n  8 -> 9 [size =\"42437632\"]\n  9 [size=\"142551040\", alpha=\"0.08\", expect_size=\"42765312\"] \n  9 -> 10 [size =\"42765312\"]\n  10 [size=\"146708480\", alpha=\"0.01\", expect_size=\"44012544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34112853\", alpha=\"0.19\", expect_size=\"10233856\"] \n  1 -> 2 [size =\"10233856\"]\n  2 [size=\"118575787\", alpha=\"0.05\", expect_size=\"35572736\"] \n  2 -> 3 [size =\"35572736\"]\n  3 [size=\"127829333\", alpha=\"0.17\", expect_size=\"38348800\"] \n  3 -> 4 [size =\"38348800\"]\n  4 [size=\"132901547\", alpha=\"0.10\", expect_size=\"39870464\"] \n  4 -> 5 [size =\"39870464\"]\n  5 [size=\"50237440\", alpha=\"0.14\", expect_size=\"15071232\"] \n  5 -> 6 [size =\"15071232\"]\n  6 [size=\"157303467\", alpha=\"0.15\", expect_size=\"47191040\"] \n  6 -> 7 [size =\"47191040\"]\n  7 [size=\"85411840\", alpha=\"0.03\", expect_size=\"25623552\"] \n  7 -> 8 [size =\"25623552\"]\n  8 [size=\"121067520\", alpha=\"0.14\", expect_size=\"36320256\"] \n  8 -> 9 [size =\"36320256\"]\n  9 [size=\"64689493\", alpha=\"0.03\", expect_size=\"19406848\"] \n  9 -> 10 [size =\"19406848\"]\n  10 [size=\"24074240\", alpha=\"0.08\", expect_size=\"7222272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158105600\", alpha=\"0.19\", expect_size=\"47431680\"] \n  1 -> 3 [size =\"47431680\"]\n  1 -> 4 [size =\"47431680\"]\n  1 -> 5 [size =\"47431680\"]\n  2 [size=\"85736107\", alpha=\"0.01\", expect_size=\"25720832\"] \n  2 -> 4 [size =\"25720832\"]\n  2 -> 5 [size =\"25720832\"]\n  3 [size=\"37393067\", alpha=\"0.15\", expect_size=\"11217920\"] \n  3 -> 6 [size =\"11217920\"]\n  3 -> 7 [size =\"11217920\"]\n  4 [size=\"56535040\", alpha=\"0.13\", expect_size=\"16960512\"] \n  4 -> 6 [size =\"16960512\"]\n  4 -> 7 [size =\"16960512\"]\n  4 -> 8 [size =\"16960512\"]\n  5 [size=\"28006400\", alpha=\"0.05\", expect_size=\"8401920\"] \n  6 [size=\"105526613\", alpha=\"0.03\", expect_size=\"31657984\"] \n  6 -> 10 [size =\"31657984\"]\n  7 [size=\"114425173\", alpha=\"0.03\", expect_size=\"34327552\"] \n  7 -> 10 [size =\"34327552\"]\n  8 [size=\"72581120\", alpha=\"0.13\", expect_size=\"21774336\"] \n  8 -> 9 [size =\"21774336\"]\n  9 [size=\"36362240\", alpha=\"0.08\", expect_size=\"10908672\"] \n  10 [size=\"106192213\", alpha=\"0.01\", expect_size=\"31857664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29775360\", alpha=\"0.11\", expect_size=\"11910144\"] \n  1 -> 2 [size =\"11910144\"]\n  2 [size=\"112967680\", alpha=\"0.11\", expect_size=\"45187072\"] \n  2 -> 3 [size =\"45187072\"]\n  3 [size=\"122048000\", alpha=\"0.13\", expect_size=\"48819200\"] \n  3 -> 4 [size =\"48819200\"]\n  4 [size=\"57367040\", alpha=\"0.04\", expect_size=\"22946816\"] \n  4 -> 5 [size =\"22946816\"]\n  5 [size=\"73469440\", alpha=\"0.12\", expect_size=\"29387776\"] \n  5 -> 6 [size =\"29387776\"]\n  6 [size=\"107025920\", alpha=\"0.01\", expect_size=\"42810368\"] \n  6 -> 7 [size =\"42810368\"]\n  7 [size=\"106219520\", alpha=\"0.12\", expect_size=\"42487808\"] \n  7 -> 8 [size =\"42487808\"]\n  8 [size=\"65751040\", alpha=\"0.08\", expect_size=\"26300416\"] \n  8 -> 9 [size =\"26300416\"]\n  9 [size=\"56102400\", alpha=\"0.04\", expect_size=\"22440960\"] \n  9 -> 10 [size =\"22440960\"]\n  10 [size=\"18529280\", alpha=\"0.03\", expect_size=\"7411712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25817088\", alpha=\"0.17\", expect_size=\"12908544\"] \n  1 -> 2 [size =\"12908544\"]\n  2 [size=\"100429824\", alpha=\"0.20\", expect_size=\"50214912\"] \n  2 -> 3 [size =\"50214912\"]\n  3 [size=\"85104640\", alpha=\"0.10\", expect_size=\"42552320\"] \n  3 -> 4 [size =\"42552320\"]\n  4 [size=\"29747200\", alpha=\"0.07\", expect_size=\"14873600\"] \n  4 -> 5 [size =\"14873600\"]\n  5 [size=\"50505728\", alpha=\"0.01\", expect_size=\"25252864\"] \n  5 -> 6 [size =\"25252864\"]\n  6 [size=\"35342336\", alpha=\"0.09\", expect_size=\"17671168\"] \n  6 -> 7 [size =\"17671168\"]\n  7 [size=\"56276992\", alpha=\"0.17\", expect_size=\"28138496\"] \n  7 -> 8 [size =\"28138496\"]\n  8 [size=\"91791360\", alpha=\"0.15\", expect_size=\"45895680\"] \n  8 -> 9 [size =\"45895680\"]\n  9 [size=\"97597440\", alpha=\"0.10\", expect_size=\"48798720\"] \n  9 -> 10 [size =\"48798720\"]\n  10 [size=\"41656320\", alpha=\"0.11\", expect_size=\"20828160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46011733\", alpha=\"0.13\", expect_size=\"13803520\"] \n  1 -> 2 [size =\"13803520\"]\n  2 [size=\"26340693\", alpha=\"0.08\", expect_size=\"7902208\"] \n  2 -> 3 [size =\"7902208\"]\n  3 [size=\"120217600\", alpha=\"0.18\", expect_size=\"36065280\"] \n  3 -> 4 [size =\"36065280\"]\n  4 [size=\"100293973\", alpha=\"0.09\", expect_size=\"30088192\"] \n  4 -> 5 [size =\"30088192\"]\n  5 [size=\"69024427\", alpha=\"0.10\", expect_size=\"20707328\"] \n  5 -> 6 [size =\"20707328\"]\n  6 [size=\"51930453\", alpha=\"0.07\", expect_size=\"15579136\"] \n  6 -> 7 [size =\"15579136\"]\n  7 [size=\"43605333\", alpha=\"0.02\", expect_size=\"13081600\"] \n  7 -> 8 [size =\"13081600\"]\n  8 [size=\"136642560\", alpha=\"0.11\", expect_size=\"40992768\"] \n  8 -> 9 [size =\"40992768\"]\n  9 [size=\"168075947\", alpha=\"0.05\", expect_size=\"50422784\"] \n  9 -> 10 [size =\"50422784\"]\n  10 [size=\"109404160\", alpha=\"0.09\", expect_size=\"32821248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42923520\", alpha=\"0.03\", expect_size=\"17169408\"] \n  1 -> 2 [size =\"17169408\"]\n  2 [size=\"43694080\", alpha=\"0.00\", expect_size=\"17477632\"] \n  2 -> 3 [size =\"17477632\"]\n  3 [size=\"117598720\", alpha=\"0.14\", expect_size=\"47039488\"] \n  3 -> 4 [size =\"47039488\"]\n  4 [size=\"80107520\", alpha=\"0.19\", expect_size=\"32043008\"] \n  4 -> 5 [size =\"32043008\"]\n  5 [size=\"74204160\", alpha=\"0.04\", expect_size=\"29681664\"] \n  5 -> 6 [size =\"29681664\"]\n  6 [size=\"17072640\", alpha=\"0.16\", expect_size=\"6829056\"] \n  6 -> 7 [size =\"6829056\"]\n  7 [size=\"34913280\", alpha=\"0.17\", expect_size=\"13965312\"] \n  7 -> 8 [size =\"13965312\"]\n  8 [size=\"113743360\", alpha=\"0.15\", expect_size=\"45497344\"] \n  8 -> 9 [size =\"45497344\"]\n  9 [size=\"52544000\", alpha=\"0.18\", expect_size=\"21017600\"] \n  9 -> 10 [size =\"21017600\"]\n  10 [size=\"70853120\", alpha=\"0.05\", expect_size=\"28341248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36190720\", alpha=\"0.19\", expect_size=\"14476288\"] \n  1 -> 2 [size =\"14476288\"]\n  2 [size=\"90339840\", alpha=\"0.16\", expect_size=\"36135936\"] \n  2 -> 3 [size =\"36135936\"]\n  3 [size=\"73349120\", alpha=\"0.16\", expect_size=\"29339648\"] \n  3 -> 4 [size =\"29339648\"]\n  4 [size=\"53670400\", alpha=\"0.01\", expect_size=\"21468160\"] \n  4 -> 5 [size =\"21468160\"]\n  5 [size=\"39808000\", alpha=\"0.20\", expect_size=\"15923200\"] \n  5 -> 6 [size =\"15923200\"]\n  6 [size=\"92134400\", alpha=\"0.14\", expect_size=\"36853760\"] \n  6 -> 7 [size =\"36853760\"]\n  7 [size=\"53516800\", alpha=\"0.16\", expect_size=\"21406720\"] \n  7 -> 8 [size =\"21406720\"]\n  8 [size=\"30778880\", alpha=\"0.08\", expect_size=\"12311552\"] \n  8 -> 9 [size =\"12311552\"]\n  9 [size=\"129725440\", alpha=\"0.00\", expect_size=\"51890176\"] \n  9 -> 10 [size =\"51890176\"]\n  10 [size=\"111731200\", alpha=\"0.16\", expect_size=\"44692480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45216427\", alpha=\"0.15\", expect_size=\"13564928\"] \n  1 -> 7 [size =\"13564928\"]\n  1 -> 7 [size =\"13564928\"]\n  2 [size=\"109271040\", alpha=\"0.08\", expect_size=\"32781312\"] \n  2 -> 6 [size =\"32781312\"]\n  2 -> 8 [size =\"32781312\"]\n  3 [size=\"159528960\", alpha=\"0.14\", expect_size=\"47858688\"] \n  3 -> 8 [size =\"47858688\"]\n  3 -> 10 [size =\"47858688\"]\n  4 [size=\"108929707\", alpha=\"0.15\", expect_size=\"32678912\"] \n  4 -> 6 [size =\"32678912\"]\n  4 -> 8 [size =\"32678912\"]\n  5 [size=\"25917440\", alpha=\"0.08\", expect_size=\"7775232\"] \n  5 -> 6 [size =\"7775232\"]\n  5 -> 7 [size =\"7775232\"]\n  5 -> 9 [size =\"7775232\"]\n  5 -> 10 [size =\"7775232\"]\n  6 [size=\"110807040\", alpha=\"0.13\", expect_size=\"33242112\"] \n  7 [size=\"68041387\", alpha=\"0.13\", expect_size=\"20412416\"] \n  8 [size=\"68031147\", alpha=\"0.03\", expect_size=\"20409344\"] \n  9 [size=\"32119467\", alpha=\"0.11\", expect_size=\"9635840\"] \n  10 [size=\"123228160\", alpha=\"0.11\", expect_size=\"36968448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16578560\", alpha=\"0.20\", expect_size=\"6631424\"] \n  1 -> 3 [size =\"6631424\"]\n  2 [size=\"15357440\", alpha=\"0.05\", expect_size=\"6142976\"] \n  2 -> 4 [size =\"6142976\"]\n  2 -> 5 [size =\"6142976\"]\n  3 [size=\"120588800\", alpha=\"0.07\", expect_size=\"48235520\"] \n  3 -> 6 [size =\"48235520\"]\n  3 -> 7 [size =\"48235520\"]\n  3 -> 8 [size =\"48235520\"]\n  4 [size=\"77268480\", alpha=\"0.05\", expect_size=\"30907392\"] \n  4 -> 6 [size =\"30907392\"]\n  4 -> 7 [size =\"30907392\"]\n  5 [size=\"87457280\", alpha=\"0.10\", expect_size=\"34982912\"] \n  6 [size=\"128258560\", alpha=\"0.01\", expect_size=\"51303424\"] \n  6 -> 9 [size =\"51303424\"]\n  7 [size=\"22013440\", alpha=\"0.02\", expect_size=\"8805376\"] \n  8 [size=\"16263680\", alpha=\"0.05\", expect_size=\"6505472\"] \n  9 [size=\"109473280\", alpha=\"0.10\", expect_size=\"43789312\"] \n  9 -> 10 [size =\"43789312\"]\n  10 [size=\"68456960\", alpha=\"0.12\", expect_size=\"27382784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118041600\", alpha=\"0.19\", expect_size=\"47216640\"] \n  1 -> 7 [size =\"47216640\"]\n  1 -> 9 [size =\"47216640\"]\n  2 [size=\"68544000\", alpha=\"0.11\", expect_size=\"27417600\"] \n  2 -> 7 [size =\"27417600\"]\n  2 -> 8 [size =\"27417600\"]\n  2 -> 10 [size =\"27417600\"]\n  3 [size=\"87275520\", alpha=\"0.05\", expect_size=\"34910208\"] \n  3 -> 8 [size =\"34910208\"]\n  3 -> 10 [size =\"34910208\"]\n  4 [size=\"40640000\", alpha=\"0.10\", expect_size=\"16256000\"] \n  4 -> 8 [size =\"16256000\"]\n  4 -> 9 [size =\"16256000\"]\n  5 [size=\"75087360\", alpha=\"0.02\", expect_size=\"30034944\"] \n  5 -> 7 [size =\"30034944\"]\n  5 -> 8 [size =\"30034944\"]\n  5 -> 9 [size =\"30034944\"]\n  6 [size=\"90606080\", alpha=\"0.17\", expect_size=\"36242432\"] \n  6 -> 7 [size =\"36242432\"]\n  6 -> 10 [size =\"36242432\"]\n  7 [size=\"27136000\", alpha=\"0.09\", expect_size=\"10854400\"] \n  8 [size=\"109340160\", alpha=\"0.01\", expect_size=\"43736064\"] \n  9 [size=\"65533440\", alpha=\"0.19\", expect_size=\"26213376\"] \n  10 [size=\"65359360\", alpha=\"0.08\", expect_size=\"26143744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95856640\", alpha=\"0.18\", expect_size=\"47928320\"] \n  1 -> 5 [size =\"47928320\"]\n  1 -> 6 [size =\"47928320\"]\n  2 [size=\"80455680\", alpha=\"0.15\", expect_size=\"40227840\"] \n  2 -> 6 [size =\"40227840\"]\n  2 -> 7 [size =\"40227840\"]\n  2 -> 8 [size =\"40227840\"]\n  3 [size=\"50014208\", alpha=\"0.11\", expect_size=\"25007104\"] \n  3 -> 6 [size =\"25007104\"]\n  3 -> 7 [size =\"25007104\"]\n  3 -> 8 [size =\"25007104\"]\n  4 [size=\"28239872\", alpha=\"0.00\", expect_size=\"14119936\"] \n  4 -> 6 [size =\"14119936\"]\n  4 -> 7 [size =\"14119936\"]\n  4 -> 8 [size =\"14119936\"]\n  5 [size=\"11503616\", alpha=\"0.04\", expect_size=\"5751808\"] \n  5 -> 9 [size =\"5751808\"]\n  6 [size=\"90202112\", alpha=\"0.05\", expect_size=\"45101056\"] \n  7 [size=\"57110528\", alpha=\"0.11\", expect_size=\"28555264\"] \n  7 -> 9 [size =\"28555264\"]\n  8 [size=\"88442880\", alpha=\"0.17\", expect_size=\"44221440\"] \n  8 -> 9 [size =\"44221440\"]\n  8 -> 10 [size =\"44221440\"]\n  9 [size=\"37746688\", alpha=\"0.01\", expect_size=\"18873344\"] \n  10 [size=\"34891776\", alpha=\"0.07\", expect_size=\"17445888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113707520\", alpha=\"0.05\", expect_size=\"45483008\"] \n  1 -> 3 [size =\"45483008\"]\n  2 [size=\"113408000\", alpha=\"0.06\", expect_size=\"45363200\"] \n  2 -> 4 [size =\"45363200\"]\n  3 [size=\"57999360\", alpha=\"0.14\", expect_size=\"23199744\"] \n  3 -> 5 [size =\"23199744\"]\n  3 -> 6 [size =\"23199744\"]\n  3 -> 7 [size =\"23199744\"]\n  4 [size=\"71073280\", alpha=\"0.17\", expect_size=\"28429312\"] \n  5 [size=\"38297600\", alpha=\"0.20\", expect_size=\"15319040\"] \n  5 -> 8 [size =\"15319040\"]\n  5 -> 9 [size =\"15319040\"]\n  6 [size=\"120192000\", alpha=\"0.05\", expect_size=\"48076800\"] \n  6 -> 8 [size =\"48076800\"]\n  6 -> 9 [size =\"48076800\"]\n  7 [size=\"107415040\", alpha=\"0.20\", expect_size=\"42966016\"] \n  7 -> 8 [size =\"42966016\"]\n  7 -> 9 [size =\"42966016\"]\n  8 [size=\"46412800\", alpha=\"0.16\", expect_size=\"18565120\"] \n  8 -> 10 [size =\"18565120\"]\n  9 [size=\"36303360\", alpha=\"0.04\", expect_size=\"14521344\"] \n  10 [size=\"51688960\", alpha=\"0.05\", expect_size=\"20675584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66641920\", alpha=\"0.06\", expect_size=\"19992576\"] \n  1 -> 2 [size =\"19992576\"]\n  2 [size=\"61504853\", alpha=\"0.17\", expect_size=\"18451456\"] \n  2 -> 3 [size =\"18451456\"]\n  3 [size=\"126740480\", alpha=\"0.02\", expect_size=\"38022144\"] \n  3 -> 4 [size =\"38022144\"]\n  4 [size=\"141987840\", alpha=\"0.14\", expect_size=\"42596352\"] \n  4 -> 5 [size =\"42596352\"]\n  5 [size=\"122364587\", alpha=\"0.05\", expect_size=\"36709376\"] \n  5 -> 6 [size =\"36709376\"]\n  6 [size=\"163672747\", alpha=\"0.01\", expect_size=\"49101824\"] \n  6 -> 7 [size =\"49101824\"]\n  7 [size=\"168775680\", alpha=\"0.04\", expect_size=\"50632704\"] \n  7 -> 8 [size =\"50632704\"]\n  8 [size=\"107226453\", alpha=\"0.08\", expect_size=\"32167936\"] \n  8 -> 9 [size =\"32167936\"]\n  9 [size=\"57053867\", alpha=\"0.04\", expect_size=\"17116160\"] \n  9 -> 10 [size =\"17116160\"]\n  10 [size=\"85463040\", alpha=\"0.03\", expect_size=\"25638912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144834560\", alpha=\"0.19\", expect_size=\"43450368\"] \n  1 -> 10 [size =\"43450368\"]\n  2 [size=\"133137067\", alpha=\"0.09\", expect_size=\"39941120\"] \n  2 -> 9 [size =\"39941120\"]\n  2 -> 10 [size =\"39941120\"]\n  3 [size=\"28685653\", alpha=\"0.07\", expect_size=\"8605696\"] \n  3 -> 9 [size =\"8605696\"]\n  3 -> 10 [size =\"8605696\"]\n  4 [size=\"100355413\", alpha=\"0.18\", expect_size=\"30106624\"] \n  4 -> 10 [size =\"30106624\"]\n  5 [size=\"89238187\", alpha=\"0.01\", expect_size=\"26771456\"] \n  5 -> 9 [size =\"26771456\"]\n  5 -> 10 [size =\"26771456\"]\n  6 [size=\"138376533\", alpha=\"0.02\", expect_size=\"41512960\"] \n  6 -> 9 [size =\"41512960\"]\n  6 -> 10 [size =\"41512960\"]\n  7 [size=\"126757547\", alpha=\"0.12\", expect_size=\"38027264\"] \n  7 -> 9 [size =\"38027264\"]\n  8 [size=\"61668693\", alpha=\"0.18\", expect_size=\"18500608\"] \n  8 -> 9 [size =\"18500608\"]\n  8 -> 10 [size =\"18500608\"]\n  9 [size=\"114643627\", alpha=\"0.13\", expect_size=\"34393088\"] \n  10 [size=\"87879680\", alpha=\"0.10\", expect_size=\"26363904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112640000\", alpha=\"0.08\", expect_size=\"45056000\"] \n  1 -> 2 [size =\"45056000\"]\n  2 [size=\"69649920\", alpha=\"0.03\", expect_size=\"27859968\"] \n  2 -> 3 [size =\"27859968\"]\n  3 [size=\"120729600\", alpha=\"0.07\", expect_size=\"48291840\"] \n  3 -> 4 [size =\"48291840\"]\n  4 [size=\"122690560\", alpha=\"0.08\", expect_size=\"49076224\"] \n  4 -> 5 [size =\"49076224\"]\n  5 [size=\"68160000\", alpha=\"0.13\", expect_size=\"27264000\"] \n  5 -> 6 [size =\"27264000\"]\n  6 [size=\"52464640\", alpha=\"0.07\", expect_size=\"20985856\"] \n  6 -> 7 [size =\"20985856\"]\n  7 [size=\"109491200\", alpha=\"0.03\", expect_size=\"43796480\"] \n  7 -> 8 [size =\"43796480\"]\n  8 [size=\"114188800\", alpha=\"0.11\", expect_size=\"45675520\"] \n  8 -> 9 [size =\"45675520\"]\n  9 [size=\"50324480\", alpha=\"0.05\", expect_size=\"20129792\"] \n  9 -> 10 [size =\"20129792\"]\n  10 [size=\"64642560\", alpha=\"0.18\", expect_size=\"25857024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33904640\", alpha=\"0.17\", expect_size=\"13561856\"] \n  1 -> 3 [size =\"13561856\"]\n  1 -> 4 [size =\"13561856\"]\n  2 [size=\"84083200\", alpha=\"0.05\", expect_size=\"33633280\"] \n  3 [size=\"56686080\", alpha=\"0.14\", expect_size=\"22674432\"] \n  3 -> 6 [size =\"22674432\"]\n  4 [size=\"82787840\", alpha=\"0.12\", expect_size=\"33115136\"] \n  4 -> 5 [size =\"33115136\"]\n  4 -> 7 [size =\"33115136\"]\n  5 [size=\"105674240\", alpha=\"0.06\", expect_size=\"42269696\"] \n  5 -> 8 [size =\"42269696\"]\n  5 -> 9 [size =\"42269696\"]\n  6 [size=\"44185600\", alpha=\"0.11\", expect_size=\"17674240\"] \n  7 [size=\"117524480\", alpha=\"0.02\", expect_size=\"47009792\"] \n  7 -> 8 [size =\"47009792\"]\n  7 -> 9 [size =\"47009792\"]\n  7 -> 10 [size =\"47009792\"]\n  8 [size=\"108375040\", alpha=\"0.05\", expect_size=\"43350016\"] \n  9 [size=\"74516480\", alpha=\"0.18\", expect_size=\"29806592\"] \n  10 [size=\"105233920\", alpha=\"0.09\", expect_size=\"42093568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58877952\", alpha=\"0.11\", expect_size=\"29438976\"] \n  1 -> 8 [size =\"29438976\"]\n  1 -> 9 [size =\"29438976\"]\n  1 -> 10 [size =\"29438976\"]\n  2 [size=\"66119680\", alpha=\"0.11\", expect_size=\"33059840\"] \n  2 -> 9 [size =\"33059840\"]\n  2 -> 10 [size =\"33059840\"]\n  2 -> 10 [size =\"33059840\"]\n  3 [size=\"99561472\", alpha=\"0.05\", expect_size=\"49780736\"] \n  4 [size=\"34396160\", alpha=\"0.17\", expect_size=\"17198080\"] \n  4 -> 8 [size =\"17198080\"]\n  4 -> 9 [size =\"17198080\"]\n  5 [size=\"33662976\", alpha=\"0.05\", expect_size=\"16831488\"] \n  5 -> 8 [size =\"16831488\"]\n  5 -> 9 [size =\"16831488\"]\n  6 [size=\"86538240\", alpha=\"0.18\", expect_size=\"43269120\"] \n  6 -> 7 [size =\"43269120\"]\n  6 -> 8 [size =\"43269120\"]\n  6 -> 9 [size =\"43269120\"]\n  7 [size=\"16177152\", alpha=\"0.18\", expect_size=\"8088576\"] \n  8 [size=\"47052800\", alpha=\"0.09\", expect_size=\"23526400\"] \n  9 [size=\"89679872\", alpha=\"0.07\", expect_size=\"44839936\"] \n  10 [size=\"57737216\", alpha=\"0.15\", expect_size=\"28868608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59694080\", alpha=\"0.00\", expect_size=\"23877632\"] \n  1 -> 2 [size =\"23877632\"]\n  2 [size=\"95912960\", alpha=\"0.11\", expect_size=\"38365184\"] \n  2 -> 3 [size =\"38365184\"]\n  3 [size=\"90606080\", alpha=\"0.03\", expect_size=\"36242432\"] \n  3 -> 4 [size =\"36242432\"]\n  4 [size=\"83619840\", alpha=\"0.13\", expect_size=\"33447936\"] \n  4 -> 5 [size =\"33447936\"]\n  5 [size=\"107857920\", alpha=\"0.12\", expect_size=\"43143168\"] \n  5 -> 6 [size =\"43143168\"]\n  6 [size=\"105210880\", alpha=\"0.13\", expect_size=\"42084352\"] \n  6 -> 7 [size =\"42084352\"]\n  7 [size=\"98352640\", alpha=\"0.03\", expect_size=\"39341056\"] \n  7 -> 8 [size =\"39341056\"]\n  8 [size=\"95992320\", alpha=\"0.16\", expect_size=\"38396928\"] \n  8 -> 9 [size =\"38396928\"]\n  9 [size=\"125145600\", alpha=\"0.17\", expect_size=\"50058240\"] \n  9 -> 10 [size =\"50058240\"]\n  10 [size=\"16066560\", alpha=\"0.05\", expect_size=\"6426624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78421333\", alpha=\"0.00\", expect_size=\"23526400\"] \n  1 -> 5 [size =\"23526400\"]\n  2 [size=\"64266240\", alpha=\"0.00\", expect_size=\"19279872\"] \n  2 -> 6 [size =\"19279872\"]\n  2 -> 7 [size =\"19279872\"]\n  2 -> 8 [size =\"19279872\"]\n  3 [size=\"112882347\", alpha=\"0.06\", expect_size=\"33864704\"] \n  3 -> 7 [size =\"33864704\"]\n  4 [size=\"144810667\", alpha=\"0.18\", expect_size=\"43443200\"] \n  4 -> 5 [size =\"43443200\"]\n  4 -> 7 [size =\"43443200\"]\n  4 -> 8 [size =\"43443200\"]\n  5 [size=\"88234667\", alpha=\"0.18\", expect_size=\"26470400\"] \n  6 [size=\"104912213\", alpha=\"0.16\", expect_size=\"31473664\"] \n  6 -> 9 [size =\"31473664\"]\n  7 [size=\"58637653\", alpha=\"0.15\", expect_size=\"17591296\"] \n  7 -> 9 [size =\"17591296\"]\n  7 -> 10 [size =\"17591296\"]\n  8 [size=\"25582933\", alpha=\"0.16\", expect_size=\"7674880\"] \n  9 [size=\"23801173\", alpha=\"0.19\", expect_size=\"7140352\"] \n  10 [size=\"80551253\", alpha=\"0.01\", expect_size=\"24165376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52147200\", alpha=\"0.06\", expect_size=\"20858880\"] \n  1 -> 8 [size =\"20858880\"]\n  1 -> 9 [size =\"20858880\"]\n  1 -> 10 [size =\"20858880\"]\n  2 [size=\"123701760\", alpha=\"0.07\", expect_size=\"49480704\"] \n  2 -> 7 [size =\"49480704\"]\n  2 -> 9 [size =\"49480704\"]\n  3 [size=\"27169280\", alpha=\"0.08\", expect_size=\"10867712\"] \n  4 [size=\"29370880\", alpha=\"0.08\", expect_size=\"11748352\"] \n  5 [size=\"114910720\", alpha=\"0.17\", expect_size=\"45964288\"] \n  6 [size=\"119336960\", alpha=\"0.05\", expect_size=\"47734784\"] \n  6 -> 7 [size =\"47734784\"]\n  6 -> 8 [size =\"47734784\"]\n  6 -> 10 [size =\"47734784\"]\n  7 [size=\"119953920\", alpha=\"0.12\", expect_size=\"47981568\"] \n  8 [size=\"128386560\", alpha=\"0.13\", expect_size=\"51354624\"] \n  9 [size=\"95411200\", alpha=\"0.11\", expect_size=\"38164480\"] \n  10 [size=\"79736320\", alpha=\"0.19\", expect_size=\"31894528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125299200\", alpha=\"0.18\", expect_size=\"50119680\"] \n  1 -> 2 [size =\"50119680\"]\n  2 [size=\"73487360\", alpha=\"0.16\", expect_size=\"29394944\"] \n  2 -> 3 [size =\"29394944\"]\n  3 [size=\"101084160\", alpha=\"0.17\", expect_size=\"40433664\"] \n  3 -> 4 [size =\"40433664\"]\n  4 [size=\"21120000\", alpha=\"0.10\", expect_size=\"8448000\"] \n  4 -> 5 [size =\"8448000\"]\n  5 [size=\"15375360\", alpha=\"0.09\", expect_size=\"6150144\"] \n  5 -> 6 [size =\"6150144\"]\n  6 [size=\"31475200\", alpha=\"0.06\", expect_size=\"12590080\"] \n  6 -> 7 [size =\"12590080\"]\n  7 [size=\"45765120\", alpha=\"0.07\", expect_size=\"18306048\"] \n  7 -> 8 [size =\"18306048\"]\n  8 [size=\"61104640\", alpha=\"0.16\", expect_size=\"24441856\"] \n  8 -> 9 [size =\"24441856\"]\n  9 [size=\"21888000\", alpha=\"0.14\", expect_size=\"8755200\"] \n  9 -> 10 [size =\"8755200\"]\n  10 [size=\"50342400\", alpha=\"0.09\", expect_size=\"20136960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54614016\", alpha=\"0.04\", expect_size=\"27307008\"] \n  1 -> 2 [size =\"27307008\"]\n  2 [size=\"21102592\", alpha=\"0.14\", expect_size=\"10551296\"] \n  2 -> 3 [size =\"10551296\"]\n  3 [size=\"20443136\", alpha=\"0.04\", expect_size=\"10221568\"] \n  3 -> 4 [size =\"10221568\"]\n  4 [size=\"94228480\", alpha=\"0.02\", expect_size=\"47114240\"] \n  4 -> 5 [size =\"47114240\"]\n  5 [size=\"50089984\", alpha=\"0.08\", expect_size=\"25044992\"] \n  5 -> 6 [size =\"25044992\"]\n  6 [size=\"20668416\", alpha=\"0.04\", expect_size=\"10334208\"] \n  6 -> 7 [size =\"10334208\"]\n  7 [size=\"100509696\", alpha=\"0.02\", expect_size=\"50254848\"] \n  7 -> 8 [size =\"50254848\"]\n  8 [size=\"85858304\", alpha=\"0.03\", expect_size=\"42929152\"] \n  8 -> 9 [size =\"42929152\"]\n  9 [size=\"67475456\", alpha=\"0.09\", expect_size=\"33737728\"] \n  9 -> 10 [size =\"33737728\"]\n  10 [size=\"16519168\", alpha=\"0.16\", expect_size=\"8259584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129346560\", alpha=\"0.10\", expect_size=\"51738624\"] \n  1 -> 2 [size =\"51738624\"]\n  2 [size=\"38466560\", alpha=\"0.02\", expect_size=\"15386624\"] \n  2 -> 3 [size =\"15386624\"]\n  3 [size=\"68293120\", alpha=\"0.12\", expect_size=\"27317248\"] \n  3 -> 4 [size =\"27317248\"]\n  4 [size=\"96906240\", alpha=\"0.14\", expect_size=\"38762496\"] \n  4 -> 5 [size =\"38762496\"]\n  5 [size=\"110420480\", alpha=\"0.18\", expect_size=\"44168192\"] \n  5 -> 6 [size =\"44168192\"]\n  6 [size=\"20958720\", alpha=\"0.12\", expect_size=\"8383488\"] \n  6 -> 7 [size =\"8383488\"]\n  7 [size=\"29568000\", alpha=\"0.16\", expect_size=\"11827200\"] \n  7 -> 8 [size =\"11827200\"]\n  8 [size=\"95869440\", alpha=\"0.19\", expect_size=\"38347776\"] \n  8 -> 9 [size =\"38347776\"]\n  9 [size=\"89505280\", alpha=\"0.15\", expect_size=\"35802112\"] \n  9 -> 10 [size =\"35802112\"]\n  10 [size=\"111068160\", alpha=\"0.04\", expect_size=\"44427264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14666240\", alpha=\"0.17\", expect_size=\"5866496\"] \n  1 -> 2 [size =\"5866496\"]\n  2 [size=\"110868480\", alpha=\"0.11\", expect_size=\"44347392\"] \n  2 -> 3 [size =\"44347392\"]\n  3 [size=\"53539840\", alpha=\"0.20\", expect_size=\"21415936\"] \n  3 -> 4 [size =\"21415936\"]\n  4 [size=\"77698560\", alpha=\"0.16\", expect_size=\"31079424\"] \n  4 -> 5 [size =\"31079424\"]\n  5 [size=\"42137600\", alpha=\"0.17\", expect_size=\"16855040\"] \n  5 -> 6 [size =\"16855040\"]\n  6 [size=\"18191360\", alpha=\"0.10\", expect_size=\"7276544\"] \n  6 -> 7 [size =\"7276544\"]\n  7 [size=\"53841920\", alpha=\"0.11\", expect_size=\"21536768\"] \n  7 -> 8 [size =\"21536768\"]\n  8 [size=\"87116800\", alpha=\"0.17\", expect_size=\"34846720\"] \n  8 -> 9 [size =\"34846720\"]\n  9 [size=\"97758720\", alpha=\"0.01\", expect_size=\"39103488\"] \n  9 -> 10 [size =\"39103488\"]\n  10 [size=\"87091200\", alpha=\"0.03\", expect_size=\"34836480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15731200\", alpha=\"0.02\", expect_size=\"6292480\"] \n  1 -> 2 [size =\"6292480\"]\n  2 [size=\"62735360\", alpha=\"0.09\", expect_size=\"25094144\"] \n  2 -> 3 [size =\"25094144\"]\n  3 [size=\"94791680\", alpha=\"0.07\", expect_size=\"37916672\"] \n  3 -> 4 [size =\"37916672\"]\n  4 [size=\"55037440\", alpha=\"0.18\", expect_size=\"22014976\"] \n  4 -> 5 [size =\"22014976\"]\n  5 [size=\"87813120\", alpha=\"0.06\", expect_size=\"35125248\"] \n  5 -> 6 [size =\"35125248\"]\n  6 [size=\"69747200\", alpha=\"0.17\", expect_size=\"27898880\"] \n  6 -> 7 [size =\"27898880\"]\n  7 [size=\"72688640\", alpha=\"0.16\", expect_size=\"29075456\"] \n  7 -> 8 [size =\"29075456\"]\n  8 [size=\"72025600\", alpha=\"0.13\", expect_size=\"28810240\"] \n  8 -> 9 [size =\"28810240\"]\n  9 [size=\"39598080\", alpha=\"0.06\", expect_size=\"15839232\"] \n  9 -> 10 [size =\"15839232\"]\n  10 [size=\"113356800\", alpha=\"0.19\", expect_size=\"45342720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126853120\", alpha=\"0.20\", expect_size=\"50741248\"] \n  1 -> 10 [size =\"50741248\"]\n  2 [size=\"23613440\", alpha=\"0.08\", expect_size=\"9445376\"] \n  2 -> 7 [size =\"9445376\"]\n  2 -> 8 [size =\"9445376\"]\n  2 -> 10 [size =\"9445376\"]\n  3 [size=\"46958080\", alpha=\"0.01\", expect_size=\"18783232\"] \n  3 -> 9 [size =\"18783232\"]\n  4 [size=\"22868480\", alpha=\"0.00\", expect_size=\"9147392\"] \n  4 -> 7 [size =\"9147392\"]\n  4 -> 8 [size =\"9147392\"]\n  4 -> 9 [size =\"9147392\"]\n  5 [size=\"44339200\", alpha=\"0.01\", expect_size=\"17735680\"] \n  5 -> 8 [size =\"17735680\"]\n  6 [size=\"80901120\", alpha=\"0.14\", expect_size=\"32360448\"] \n  6 -> 9 [size =\"32360448\"]\n  6 -> 10 [size =\"32360448\"]\n  7 [size=\"104847360\", alpha=\"0.01\", expect_size=\"41938944\"] \n  8 [size=\"64440320\", alpha=\"0.09\", expect_size=\"25776128\"] \n  9 [size=\"39119360\", alpha=\"0.04\", expect_size=\"15647744\"] \n  10 [size=\"52976640\", alpha=\"0.18\", expect_size=\"21190656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63438848\", alpha=\"0.05\", expect_size=\"31719424\"] \n  1 -> 2 [size =\"31719424\"]\n  2 [size=\"69865472\", alpha=\"0.16\", expect_size=\"34932736\"] \n  2 -> 3 [size =\"34932736\"]\n  3 [size=\"97384448\", alpha=\"0.03\", expect_size=\"48692224\"] \n  3 -> 4 [size =\"48692224\"]\n  4 [size=\"58181632\", alpha=\"0.02\", expect_size=\"29090816\"] \n  4 -> 5 [size =\"29090816\"]\n  5 [size=\"99946496\", alpha=\"0.14\", expect_size=\"49973248\"] \n  5 -> 6 [size =\"49973248\"]\n  6 [size=\"95586304\", alpha=\"0.13\", expect_size=\"47793152\"] \n  6 -> 7 [size =\"47793152\"]\n  7 [size=\"93599744\", alpha=\"0.05\", expect_size=\"46799872\"] \n  7 -> 8 [size =\"46799872\"]\n  8 [size=\"39725056\", alpha=\"0.06\", expect_size=\"19862528\"] \n  8 -> 9 [size =\"19862528\"]\n  9 [size=\"87568384\", alpha=\"0.07\", expect_size=\"43784192\"] \n  9 -> 10 [size =\"43784192\"]\n  10 [size=\"47083520\", alpha=\"0.15\", expect_size=\"23541760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27072000\", alpha=\"0.19\", expect_size=\"10828800\"] \n  2 [size=\"16832000\", alpha=\"0.03\", expect_size=\"6732800\"] \n  2 -> 8 [size =\"6732800\"]\n  2 -> 9 [size =\"6732800\"]\n  2 -> 10 [size =\"6732800\"]\n  3 [size=\"19640320\", alpha=\"0.16\", expect_size=\"7856128\"] \n  4 [size=\"22284800\", alpha=\"0.19\", expect_size=\"8913920\"] \n  4 -> 8 [size =\"8913920\"]\n  5 [size=\"99169280\", alpha=\"0.02\", expect_size=\"39667712\"] \n  5 -> 10 [size =\"39667712\"]\n  6 [size=\"52656640\", alpha=\"0.14\", expect_size=\"21062656\"] \n  6 -> 9 [size =\"21062656\"]\n  7 [size=\"37399040\", alpha=\"0.06\", expect_size=\"14959616\"] \n  8 [size=\"87498240\", alpha=\"0.09\", expect_size=\"34999296\"] \n  9 [size=\"102704640\", alpha=\"0.11\", expect_size=\"41081856\"] \n  10 [size=\"87311360\", alpha=\"0.03\", expect_size=\"34924544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17821696\", alpha=\"0.01\", expect_size=\"8910848\"] \n  1 -> 2 [size =\"8910848\"]\n  2 [size=\"79355904\", alpha=\"0.14\", expect_size=\"39677952\"] \n  2 -> 3 [size =\"39677952\"]\n  3 [size=\"36937728\", alpha=\"0.01\", expect_size=\"18468864\"] \n  3 -> 4 [size =\"18468864\"]\n  4 [size=\"41111552\", alpha=\"0.15\", expect_size=\"20555776\"] \n  4 -> 5 [size =\"20555776\"]\n  5 [size=\"90517504\", alpha=\"0.14\", expect_size=\"45258752\"] \n  5 -> 6 [size =\"45258752\"]\n  6 [size=\"43868160\", alpha=\"0.01\", expect_size=\"21934080\"] \n  6 -> 7 [size =\"21934080\"]\n  7 [size=\"63137792\", alpha=\"0.10\", expect_size=\"31568896\"] \n  7 -> 8 [size =\"31568896\"]\n  8 [size=\"76773376\", alpha=\"0.03\", expect_size=\"38386688\"] \n  8 -> 9 [size =\"38386688\"]\n  9 [size=\"43335680\", alpha=\"0.13\", expect_size=\"21667840\"] \n  9 -> 10 [size =\"21667840\"]\n  10 [size=\"23660544\", alpha=\"0.13\", expect_size=\"11830272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37351424\", alpha=\"0.12\", expect_size=\"18675712\"] \n  1 -> 8 [size =\"18675712\"]\n  1 -> 9 [size =\"18675712\"]\n  2 [size=\"50055168\", alpha=\"0.14\", expect_size=\"25027584\"] \n  2 -> 9 [size =\"25027584\"]\n  3 [size=\"69564416\", alpha=\"0.02\", expect_size=\"34782208\"] \n  3 -> 8 [size =\"34782208\"]\n  3 -> 9 [size =\"34782208\"]\n  4 [size=\"16261120\", alpha=\"0.07\", expect_size=\"8130560\"] \n  4 -> 8 [size =\"8130560\"]\n  4 -> 9 [size =\"8130560\"]\n  5 [size=\"31483904\", alpha=\"0.03\", expect_size=\"15741952\"] \n  5 -> 7 [size =\"15741952\"]\n  5 -> 8 [size =\"15741952\"]\n  5 -> 9 [size =\"15741952\"]\n  5 -> 10 [size =\"15741952\"]\n  6 [size=\"73676800\", alpha=\"0.13\", expect_size=\"36838400\"] \n  6 -> 10 [size =\"36838400\"]\n  7 [size=\"31477760\", alpha=\"0.15\", expect_size=\"15738880\"] \n  8 [size=\"74080256\", alpha=\"0.07\", expect_size=\"37040128\"] \n  9 [size=\"56983552\", alpha=\"0.15\", expect_size=\"28491776\"] \n  10 [size=\"32796672\", alpha=\"0.12\", expect_size=\"16398336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122022400\", alpha=\"0.07\", expect_size=\"48808960\"] \n  1 -> 6 [size =\"48808960\"]\n  1 -> 7 [size =\"48808960\"]\n  2 [size=\"99463680\", alpha=\"0.05\", expect_size=\"39785472\"] \n  2 -> 4 [size =\"39785472\"]\n  2 -> 5 [size =\"39785472\"]\n  2 -> 7 [size =\"39785472\"]\n  3 [size=\"67371520\", alpha=\"0.18\", expect_size=\"26948608\"] \n  3 -> 5 [size =\"26948608\"]\n  4 [size=\"87106560\", alpha=\"0.14\", expect_size=\"34842624\"] \n  4 -> 10 [size =\"34842624\"]\n  5 [size=\"18856960\", alpha=\"0.04\", expect_size=\"7542784\"] \n  5 -> 8 [size =\"7542784\"]\n  5 -> 10 [size =\"7542784\"]\n  6 [size=\"47564800\", alpha=\"0.17\", expect_size=\"19025920\"] \n  6 -> 8 [size =\"19025920\"]\n  6 -> 9 [size =\"19025920\"]\n  7 [size=\"64780800\", alpha=\"0.18\", expect_size=\"25912320\"] \n  7 -> 9 [size =\"25912320\"]\n  8 [size=\"22919680\", alpha=\"0.08\", expect_size=\"9167872\"] \n  9 [size=\"50636800\", alpha=\"0.17\", expect_size=\"20254720\"] \n  10 [size=\"122324480\", alpha=\"0.00\", expect_size=\"48929792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37911893\", alpha=\"0.19\", expect_size=\"11373568\"] \n  1 -> 2 [size =\"11373568\"]\n  2 [size=\"101669547\", alpha=\"0.09\", expect_size=\"30500864\"] \n  2 -> 3 [size =\"30500864\"]\n  3 [size=\"153412267\", alpha=\"0.14\", expect_size=\"46023680\"] \n  3 -> 4 [size =\"46023680\"]\n  4 [size=\"141619200\", alpha=\"0.11\", expect_size=\"42485760\"] \n  4 -> 5 [size =\"42485760\"]\n  5 [size=\"105233067\", alpha=\"0.11\", expect_size=\"31569920\"] \n  5 -> 6 [size =\"31569920\"]\n  6 [size=\"130986667\", alpha=\"0.04\", expect_size=\"39296000\"] \n  6 -> 7 [size =\"39296000\"]\n  7 [size=\"112486400\", alpha=\"0.03\", expect_size=\"33745920\"] \n  7 -> 8 [size =\"33745920\"]\n  8 [size=\"158597120\", alpha=\"0.13\", expect_size=\"47579136\"] \n  8 -> 9 [size =\"47579136\"]\n  9 [size=\"90071040\", alpha=\"0.09\", expect_size=\"27021312\"] \n  9 -> 10 [size =\"27021312\"]\n  10 [size=\"161645227\", alpha=\"0.06\", expect_size=\"48493568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25317376\", alpha=\"0.15\", expect_size=\"12658688\"] \n  1 -> 2 [size =\"12658688\"]\n  2 [size=\"24483840\", alpha=\"0.08\", expect_size=\"12241920\"] \n  2 -> 3 [size =\"12241920\"]\n  3 [size=\"80164864\", alpha=\"0.12\", expect_size=\"40082432\"] \n  3 -> 4 [size =\"40082432\"]\n  4 [size=\"22321152\", alpha=\"0.03\", expect_size=\"11160576\"] \n  4 -> 5 [size =\"11160576\"]\n  5 [size=\"102768640\", alpha=\"0.00\", expect_size=\"51384320\"] \n  5 -> 6 [size =\"51384320\"]\n  6 [size=\"76238848\", alpha=\"0.12\", expect_size=\"38119424\"] \n  6 -> 7 [size =\"38119424\"]\n  7 [size=\"86747136\", alpha=\"0.08\", expect_size=\"43373568\"] \n  7 -> 8 [size =\"43373568\"]\n  8 [size=\"40775680\", alpha=\"0.10\", expect_size=\"20387840\"] \n  8 -> 9 [size =\"20387840\"]\n  9 [size=\"60413952\", alpha=\"0.05\", expect_size=\"30206976\"] \n  9 -> 10 [size =\"30206976\"]\n  10 [size=\"77535232\", alpha=\"0.14\", expect_size=\"38767616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151592960\", alpha=\"0.14\", expect_size=\"45477888\"] \n  1 -> 6 [size =\"45477888\"]\n  1 -> 7 [size =\"45477888\"]\n  1 -> 8 [size =\"45477888\"]\n  2 [size=\"160382293\", alpha=\"0.11\", expect_size=\"48114688\"] \n  3 [size=\"93030400\", alpha=\"0.07\", expect_size=\"27909120\"] \n  3 -> 7 [size =\"27909120\"]\n  3 -> 9 [size =\"27909120\"]\n  4 [size=\"103953067\", alpha=\"0.03\", expect_size=\"31185920\"] \n  5 [size=\"68430507\", alpha=\"0.16\", expect_size=\"20529152\"] \n  5 -> 7 [size =\"20529152\"]\n  5 -> 8 [size =\"20529152\"]\n  6 [size=\"91767467\", alpha=\"0.16\", expect_size=\"27530240\"] \n  7 [size=\"62846293\", alpha=\"0.13\", expect_size=\"18853888\"] \n  8 [size=\"94641493\", alpha=\"0.14\", expect_size=\"28392448\"] \n  8 -> 10 [size =\"28392448\"]\n  9 [size=\"21661013\", alpha=\"0.05\", expect_size=\"6498304\"] \n  10 [size=\"121924267\", alpha=\"0.08\", expect_size=\"36577280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126156800\", alpha=\"0.17\", expect_size=\"37847040\"] \n  1 -> 2 [size =\"37847040\"]\n  2 [size=\"151278933\", alpha=\"0.05\", expect_size=\"45383680\"] \n  2 -> 3 [size =\"45383680\"]\n  3 [size=\"168345600\", alpha=\"0.07\", expect_size=\"50503680\"] \n  3 -> 4 [size =\"50503680\"]\n  4 [size=\"59344213\", alpha=\"0.17\", expect_size=\"17803264\"] \n  4 -> 5 [size =\"17803264\"]\n  5 [size=\"140359680\", alpha=\"0.18\", expect_size=\"42107904\"] \n  5 -> 6 [size =\"42107904\"]\n  6 [size=\"33911467\", alpha=\"0.18\", expect_size=\"10173440\"] \n  6 -> 7 [size =\"10173440\"]\n  7 [size=\"43687253\", alpha=\"0.07\", expect_size=\"13106176\"] \n  7 -> 8 [size =\"13106176\"]\n  8 [size=\"113469440\", alpha=\"0.13\", expect_size=\"34040832\"] \n  8 -> 9 [size =\"34040832\"]\n  9 [size=\"32481280\", alpha=\"0.16\", expect_size=\"9744384\"] \n  9 -> 10 [size =\"9744384\"]\n  10 [size=\"51548160\", alpha=\"0.09\", expect_size=\"15464448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97536000\", alpha=\"0.13\", expect_size=\"39014400\"] \n  1 -> 2 [size =\"39014400\"]\n  2 [size=\"126510080\", alpha=\"0.03\", expect_size=\"50604032\"] \n  2 -> 3 [size =\"50604032\"]\n  3 [size=\"111144960\", alpha=\"0.15\", expect_size=\"44457984\"] \n  3 -> 4 [size =\"44457984\"]\n  4 [size=\"24962560\", alpha=\"0.20\", expect_size=\"9985024\"] \n  4 -> 5 [size =\"9985024\"]\n  5 [size=\"36692480\", alpha=\"0.08\", expect_size=\"14676992\"] \n  5 -> 6 [size =\"14676992\"]\n  6 [size=\"81420800\", alpha=\"0.16\", expect_size=\"32568320\"] \n  6 -> 7 [size =\"32568320\"]\n  7 [size=\"56908800\", alpha=\"0.12\", expect_size=\"22763520\"] \n  7 -> 8 [size =\"22763520\"]\n  8 [size=\"76344320\", alpha=\"0.01\", expect_size=\"30537728\"] \n  8 -> 9 [size =\"30537728\"]\n  9 [size=\"32770560\", alpha=\"0.02\", expect_size=\"13108224\"] \n  9 -> 10 [size =\"13108224\"]\n  10 [size=\"15040000\", alpha=\"0.18\", expect_size=\"6016000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19090773\", alpha=\"0.16\", expect_size=\"5727232\"] \n  1 -> 3 [size =\"5727232\"]\n  2 [size=\"80831147\", alpha=\"0.05\", expect_size=\"24249344\"] \n  2 -> 3 [size =\"24249344\"]\n  3 [size=\"147749547\", alpha=\"0.11\", expect_size=\"44324864\"] \n  3 -> 4 [size =\"44324864\"]\n  3 -> 5 [size =\"44324864\"]\n  3 -> 6 [size =\"44324864\"]\n  4 [size=\"112827733\", alpha=\"0.14\", expect_size=\"33848320\"] \n  4 -> 7 [size =\"33848320\"]\n  5 [size=\"154559147\", alpha=\"0.18\", expect_size=\"46367744\"] \n  5 -> 7 [size =\"46367744\"]\n  5 -> 9 [size =\"46367744\"]\n  6 [size=\"55040000\", alpha=\"0.12\", expect_size=\"16512000\"] \n  6 -> 7 [size =\"16512000\"]\n  6 -> 8 [size =\"16512000\"]\n  6 -> 9 [size =\"16512000\"]\n  7 [size=\"76328960\", alpha=\"0.11\", expect_size=\"22898688\"] \n  7 -> 10 [size =\"22898688\"]\n  8 [size=\"164618240\", alpha=\"0.11\", expect_size=\"49385472\"] \n  8 -> 10 [size =\"49385472\"]\n  9 [size=\"39154347\", alpha=\"0.19\", expect_size=\"11746304\"] \n  9 -> 10 [size =\"11746304\"]\n  10 [size=\"59968853\", alpha=\"0.14\", expect_size=\"17990656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22759424\", alpha=\"0.01\", expect_size=\"11379712\"] \n  1 -> 9 [size =\"11379712\"]\n  2 [size=\"100722688\", alpha=\"0.18\", expect_size=\"50361344\"] \n  2 -> 9 [size =\"50361344\"]\n  3 [size=\"59418624\", alpha=\"0.05\", expect_size=\"29709312\"] \n  4 [size=\"25329664\", alpha=\"0.13\", expect_size=\"12664832\"] \n  4 -> 8 [size =\"12664832\"]\n  4 -> 9 [size =\"12664832\"]\n  4 -> 10 [size =\"12664832\"]\n  5 [size=\"66658304\", alpha=\"0.11\", expect_size=\"33329152\"] \n  5 -> 9 [size =\"33329152\"]\n  5 -> 10 [size =\"33329152\"]\n  6 [size=\"96030720\", alpha=\"0.05\", expect_size=\"48015360\"] \n  6 -> 8 [size =\"48015360\"]\n  7 [size=\"94539776\", alpha=\"0.00\", expect_size=\"47269888\"] \n  7 -> 9 [size =\"47269888\"]\n  8 [size=\"69410816\", alpha=\"0.00\", expect_size=\"34705408\"] \n  9 [size=\"92024832\", alpha=\"0.15\", expect_size=\"46012416\"] \n  10 [size=\"83697664\", alpha=\"0.07\", expect_size=\"41848832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83173376\", alpha=\"0.16\", expect_size=\"41586688\"] \n  1 -> 2 [size =\"41586688\"]\n  2 [size=\"49858560\", alpha=\"0.13\", expect_size=\"24929280\"] \n  2 -> 3 [size =\"24929280\"]\n  3 [size=\"73512960\", alpha=\"0.05\", expect_size=\"36756480\"] \n  3 -> 4 [size =\"36756480\"]\n  4 [size=\"93710336\", alpha=\"0.02\", expect_size=\"46855168\"] \n  4 -> 5 [size =\"46855168\"]\n  5 [size=\"20547584\", alpha=\"0.10\", expect_size=\"10273792\"] \n  5 -> 6 [size =\"10273792\"]\n  6 [size=\"23525376\", alpha=\"0.13\", expect_size=\"11762688\"] \n  6 -> 7 [size =\"11762688\"]\n  7 [size=\"69167104\", alpha=\"0.17\", expect_size=\"34583552\"] \n  7 -> 8 [size =\"34583552\"]\n  8 [size=\"92899328\", alpha=\"0.02\", expect_size=\"46449664\"] \n  8 -> 9 [size =\"46449664\"]\n  9 [size=\"46256128\", alpha=\"0.00\", expect_size=\"23128064\"] \n  9 -> 10 [size =\"23128064\"]\n  10 [size=\"90142720\", alpha=\"0.17\", expect_size=\"45071360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92286293\", alpha=\"0.14\", expect_size=\"27685888\"] \n  1 -> 4 [size =\"27685888\"]\n  1 -> 5 [size =\"27685888\"]\n  2 [size=\"122763947\", alpha=\"0.06\", expect_size=\"36829184\"] \n  3 [size=\"81244160\", alpha=\"0.01\", expect_size=\"24373248\"] \n  3 -> 4 [size =\"24373248\"]\n  3 -> 5 [size =\"24373248\"]\n  4 [size=\"130341547\", alpha=\"0.09\", expect_size=\"39102464\"] \n  4 -> 6 [size =\"39102464\"]\n  4 -> 7 [size =\"39102464\"]\n  5 [size=\"75639467\", alpha=\"0.01\", expect_size=\"22691840\"] \n  5 -> 6 [size =\"22691840\"]\n  6 [size=\"152439467\", alpha=\"0.15\", expect_size=\"45731840\"] \n  6 -> 8 [size =\"45731840\"]\n  6 -> 9 [size =\"45731840\"]\n  7 [size=\"77564587\", alpha=\"0.18\", expect_size=\"23269376\"] \n  8 [size=\"47404373\", alpha=\"0.15\", expect_size=\"14221312\"] \n  9 [size=\"138649600\", alpha=\"0.11\", expect_size=\"41594880\"] \n  9 -> 10 [size =\"41594880\"]\n  10 [size=\"146435413\", alpha=\"0.19\", expect_size=\"43930624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79276032\", alpha=\"0.18\", expect_size=\"39638016\"] \n  1 -> 10 [size =\"39638016\"]\n  2 [size=\"94504960\", alpha=\"0.20\", expect_size=\"47252480\"] \n  2 -> 8 [size =\"47252480\"]\n  3 [size=\"69060608\", alpha=\"0.05\", expect_size=\"34530304\"] \n  4 [size=\"54915072\", alpha=\"0.15\", expect_size=\"27457536\"] \n  4 -> 8 [size =\"27457536\"]\n  5 [size=\"63938560\", alpha=\"0.18\", expect_size=\"31969280\"] \n  6 [size=\"50210816\", alpha=\"0.01\", expect_size=\"25105408\"] \n  6 -> 9 [size =\"25105408\"]\n  7 [size=\"59457536\", alpha=\"0.08\", expect_size=\"29728768\"] \n  8 [size=\"90449920\", alpha=\"0.19\", expect_size=\"45224960\"] \n  9 [size=\"35106816\", alpha=\"0.08\", expect_size=\"17553408\"] \n  10 [size=\"93229056\", alpha=\"0.04\", expect_size=\"46614528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148179627\", alpha=\"0.05\", expect_size=\"44453888\"] \n  1 -> 8 [size =\"44453888\"]\n  1 -> 9 [size =\"44453888\"]\n  1 -> 10 [size =\"44453888\"]\n  2 [size=\"69072213\", alpha=\"0.12\", expect_size=\"20721664\"] \n  2 -> 8 [size =\"20721664\"]\n  3 [size=\"131809280\", alpha=\"0.06\", expect_size=\"39542784\"] \n  3 -> 8 [size =\"39542784\"]\n  3 -> 9 [size =\"39542784\"]\n  4 [size=\"62897493\", alpha=\"0.07\", expect_size=\"18869248\"] \n  4 -> 8 [size =\"18869248\"]\n  4 -> 10 [size =\"18869248\"]\n  5 [size=\"102813013\", alpha=\"0.05\", expect_size=\"30843904\"] \n  5 -> 10 [size =\"30843904\"]\n  6 [size=\"165461333\", alpha=\"0.08\", expect_size=\"49638400\"] \n  6 -> 8 [size =\"49638400\"]\n  7 [size=\"120207360\", alpha=\"0.06\", expect_size=\"36062208\"] \n  7 -> 8 [size =\"36062208\"]\n  7 -> 9 [size =\"36062208\"]\n  7 -> 10 [size =\"36062208\"]\n  8 [size=\"29552640\", alpha=\"0.18\", expect_size=\"8865792\"] \n  9 [size=\"43403947\", alpha=\"0.12\", expect_size=\"13021184\"] \n  10 [size=\"172485973\", alpha=\"0.02\", expect_size=\"51745792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65314133\", alpha=\"0.13\", expect_size=\"19594240\"] \n  1 -> 2 [size =\"19594240\"]\n  2 [size=\"91637760\", alpha=\"0.05\", expect_size=\"27491328\"] \n  2 -> 3 [size =\"27491328\"]\n  3 [size=\"117841920\", alpha=\"0.13\", expect_size=\"35352576\"] \n  3 -> 4 [size =\"35352576\"]\n  4 [size=\"128860160\", alpha=\"0.01\", expect_size=\"38658048\"] \n  4 -> 5 [size =\"38658048\"]\n  5 [size=\"51343360\", alpha=\"0.04\", expect_size=\"15403008\"] \n  5 -> 6 [size =\"15403008\"]\n  6 [size=\"73629013\", alpha=\"0.15\", expect_size=\"22088704\"] \n  6 -> 7 [size =\"22088704\"]\n  7 [size=\"139933013\", alpha=\"0.15\", expect_size=\"41979904\"] \n  7 -> 8 [size =\"41979904\"]\n  8 [size=\"99809280\", alpha=\"0.14\", expect_size=\"29942784\"] \n  8 -> 9 [size =\"29942784\"]\n  9 [size=\"151306240\", alpha=\"0.20\", expect_size=\"45391872\"] \n  9 -> 10 [size =\"45391872\"]\n  10 [size=\"144216747\", alpha=\"0.06\", expect_size=\"43265024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58476544\", alpha=\"0.14\", expect_size=\"29238272\"] \n  1 -> 4 [size =\"29238272\"]\n  1 -> 5 [size =\"29238272\"]\n  1 -> 6 [size =\"29238272\"]\n  2 [size=\"82343936\", alpha=\"0.06\", expect_size=\"41171968\"] \n  3 [size=\"40898560\", alpha=\"0.09\", expect_size=\"20449280\"] \n  3 -> 6 [size =\"20449280\"]\n  4 [size=\"64665600\", alpha=\"0.13\", expect_size=\"32332800\"] \n  4 -> 8 [size =\"32332800\"]\n  4 -> 9 [size =\"32332800\"]\n  5 [size=\"10506240\", alpha=\"0.11\", expect_size=\"5253120\"] \n  5 -> 7 [size =\"5253120\"]\n  6 [size=\"13367296\", alpha=\"0.03\", expect_size=\"6683648\"] \n  6 -> 8 [size =\"6683648\"]\n  6 -> 9 [size =\"6683648\"]\n  7 [size=\"21753856\", alpha=\"0.13\", expect_size=\"10876928\"] \n  7 -> 10 [size =\"10876928\"]\n  8 [size=\"87279616\", alpha=\"0.13\", expect_size=\"43639808\"] \n  9 [size=\"101201920\", alpha=\"0.10\", expect_size=\"50600960\"] \n  9 -> 10 [size =\"50600960\"]\n  10 [size=\"97523712\", alpha=\"0.01\", expect_size=\"48761856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76182187\", alpha=\"0.08\", expect_size=\"22854656\"] \n  1 -> 3 [size =\"22854656\"]\n  1 -> 4 [size =\"22854656\"]\n  1 -> 5 [size =\"22854656\"]\n  2 [size=\"150801067\", alpha=\"0.20\", expect_size=\"45240320\"] \n  2 -> 3 [size =\"45240320\"]\n  2 -> 4 [size =\"45240320\"]\n  3 [size=\"149097813\", alpha=\"0.15\", expect_size=\"44729344\"] \n  3 -> 6 [size =\"44729344\"]\n  4 [size=\"123272533\", alpha=\"0.12\", expect_size=\"36981760\"] \n  4 -> 7 [size =\"36981760\"]\n  4 -> 8 [size =\"36981760\"]\n  5 [size=\"73734827\", alpha=\"0.09\", expect_size=\"22120448\"] \n  5 -> 6 [size =\"22120448\"]\n  5 -> 7 [size =\"22120448\"]\n  6 [size=\"72151040\", alpha=\"0.05\", expect_size=\"21645312\"] \n  6 -> 9 [size =\"21645312\"]\n  6 -> 10 [size =\"21645312\"]\n  7 [size=\"20210347\", alpha=\"0.02\", expect_size=\"6063104\"] \n  7 -> 9 [size =\"6063104\"]\n  8 [size=\"137550507\", alpha=\"0.10\", expect_size=\"41265152\"] \n  8 -> 10 [size =\"41265152\"]\n  9 [size=\"117486933\", alpha=\"0.04\", expect_size=\"35246080\"] \n  10 [size=\"145134933\", alpha=\"0.17\", expect_size=\"43540480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153132373\", alpha=\"0.01\", expect_size=\"45939712\"] \n  1 -> 2 [size =\"45939712\"]\n  2 [size=\"62132907\", alpha=\"0.00\", expect_size=\"18639872\"] \n  2 -> 3 [size =\"18639872\"]\n  3 [size=\"132266667\", alpha=\"0.06\", expect_size=\"39680000\"] \n  3 -> 4 [size =\"39680000\"]\n  4 [size=\"46045867\", alpha=\"0.07\", expect_size=\"13813760\"] \n  4 -> 5 [size =\"13813760\"]\n  5 [size=\"85903360\", alpha=\"0.01\", expect_size=\"25771008\"] \n  5 -> 6 [size =\"25771008\"]\n  6 [size=\"54613333\", alpha=\"0.08\", expect_size=\"16384000\"] \n  6 -> 7 [size =\"16384000\"]\n  7 [size=\"149189973\", alpha=\"0.09\", expect_size=\"44756992\"] \n  7 -> 8 [size =\"44756992\"]\n  8 [size=\"54108160\", alpha=\"0.04\", expect_size=\"16232448\"] \n  8 -> 9 [size =\"16232448\"]\n  9 [size=\"93177173\", alpha=\"0.06\", expect_size=\"27953152\"] \n  9 -> 10 [size =\"27953152\"]\n  10 [size=\"112274773\", alpha=\"0.10\", expect_size=\"33682432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68421632\", alpha=\"0.07\", expect_size=\"34210816\"] \n  1 -> 3 [size =\"34210816\"]\n  1 -> 4 [size =\"34210816\"]\n  2 [size=\"13608960\", alpha=\"0.17\", expect_size=\"6804480\"] \n  2 -> 3 [size =\"6804480\"]\n  2 -> 4 [size =\"6804480\"]\n  3 [size=\"93620224\", alpha=\"0.07\", expect_size=\"46810112\"] \n  3 -> 5 [size =\"46810112\"]\n  3 -> 7 [size =\"46810112\"]\n  4 [size=\"94195712\", alpha=\"0.18\", expect_size=\"47097856\"] \n  4 -> 5 [size =\"47097856\"]\n  4 -> 6 [size =\"47097856\"]\n  4 -> 7 [size =\"47097856\"]\n  5 [size=\"19228672\", alpha=\"0.14\", expect_size=\"9614336\"] \n  5 -> 8 [size =\"9614336\"]\n  5 -> 10 [size =\"9614336\"]\n  6 [size=\"10954752\", alpha=\"0.19\", expect_size=\"5477376\"] \n  6 -> 9 [size =\"5477376\"]\n  7 [size=\"42608640\", alpha=\"0.00\", expect_size=\"21304320\"] \n  7 -> 9 [size =\"21304320\"]\n  7 -> 10 [size =\"21304320\"]\n  8 [size=\"76017664\", alpha=\"0.06\", expect_size=\"38008832\"] \n  9 [size=\"59754496\", alpha=\"0.04\", expect_size=\"29877248\"] \n  10 [size=\"70322176\", alpha=\"0.01\", expect_size=\"35161088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171820373\", alpha=\"0.11\", expect_size=\"51546112\"] \n  1 -> 3 [size =\"51546112\"]\n  1 -> 4 [size =\"51546112\"]\n  1 -> 5 [size =\"51546112\"]\n  2 [size=\"115374080\", alpha=\"0.10\", expect_size=\"34612224\"] \n  2 -> 3 [size =\"34612224\"]\n  2 -> 4 [size =\"34612224\"]\n  2 -> 5 [size =\"34612224\"]\n  3 [size=\"158894080\", alpha=\"0.13\", expect_size=\"47668224\"] \n  3 -> 7 [size =\"47668224\"]\n  4 [size=\"173158400\", alpha=\"0.07\", expect_size=\"51947520\"] \n  5 [size=\"167693653\", alpha=\"0.02\", expect_size=\"50308096\"] \n  5 -> 6 [size =\"50308096\"]\n  5 -> 8 [size =\"50308096\"]\n  6 [size=\"147681280\", alpha=\"0.01\", expect_size=\"44304384\"] \n  6 -> 9 [size =\"44304384\"]\n  6 -> 10 [size =\"44304384\"]\n  7 [size=\"134673067\", alpha=\"0.10\", expect_size=\"40401920\"] \n  7 -> 10 [size =\"40401920\"]\n  8 [size=\"120033280\", alpha=\"0.04\", expect_size=\"36009984\"] \n  8 -> 9 [size =\"36009984\"]\n  8 -> 10 [size =\"36009984\"]\n  9 [size=\"128515413\", alpha=\"0.08\", expect_size=\"38554624\"] \n  10 [size=\"22882987\", alpha=\"0.08\", expect_size=\"6864896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97157120\", alpha=\"0.19\", expect_size=\"48578560\"] \n  1 -> 2 [size =\"48578560\"]\n  2 [size=\"19335168\", alpha=\"0.05\", expect_size=\"9667584\"] \n  2 -> 3 [size =\"9667584\"]\n  3 [size=\"87760896\", alpha=\"0.20\", expect_size=\"43880448\"] \n  3 -> 4 [size =\"43880448\"]\n  4 [size=\"72040448\", alpha=\"0.04\", expect_size=\"36020224\"] \n  4 -> 5 [size =\"36020224\"]\n  5 [size=\"24807424\", alpha=\"0.19\", expect_size=\"12403712\"] \n  5 -> 6 [size =\"12403712\"]\n  6 [size=\"21057536\", alpha=\"0.12\", expect_size=\"10528768\"] \n  6 -> 7 [size =\"10528768\"]\n  7 [size=\"94744576\", alpha=\"0.13\", expect_size=\"47372288\"] \n  7 -> 8 [size =\"47372288\"]\n  8 [size=\"51873792\", alpha=\"0.14\", expect_size=\"25936896\"] \n  8 -> 9 [size =\"25936896\"]\n  9 [size=\"20623360\", alpha=\"0.03\", expect_size=\"10311680\"] \n  9 -> 10 [size =\"10311680\"]\n  10 [size=\"47724544\", alpha=\"0.03\", expect_size=\"23862272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145551360\", alpha=\"0.07\", expect_size=\"43665408\"] \n  1 -> 7 [size =\"43665408\"]\n  1 -> 8 [size =\"43665408\"]\n  1 -> 9 [size =\"43665408\"]\n  2 [size=\"19920213\", alpha=\"0.03\", expect_size=\"5976064\"] \n  2 -> 7 [size =\"5976064\"]\n  2 -> 9 [size =\"5976064\"]\n  2 -> 9 [size =\"5976064\"]\n  3 [size=\"72441173\", alpha=\"0.18\", expect_size=\"21732352\"] \n  4 [size=\"140895573\", alpha=\"0.08\", expect_size=\"42268672\"] \n  4 -> 8 [size =\"42268672\"]\n  4 -> 9 [size =\"42268672\"]\n  5 [size=\"126310400\", alpha=\"0.14\", expect_size=\"37893120\"] \n  5 -> 7 [size =\"37893120\"]\n  5 -> 8 [size =\"37893120\"]\n  5 -> 9 [size =\"37893120\"]\n  6 [size=\"156160000\", alpha=\"0.17\", expect_size=\"46848000\"] \n  6 -> 7 [size =\"46848000\"]\n  6 -> 9 [size =\"46848000\"]\n  7 [size=\"65785173\", alpha=\"0.11\", expect_size=\"19735552\"] \n  7 -> 10 [size =\"19735552\"]\n  8 [size=\"162228907\", alpha=\"0.01\", expect_size=\"48668672\"] \n  8 -> 10 [size =\"48668672\"]\n  9 [size=\"96460800\", alpha=\"0.01\", expect_size=\"28938240\"] \n  10 [size=\"161307307\", alpha=\"0.05\", expect_size=\"48392192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62264320\", alpha=\"0.06\", expect_size=\"24905728\"] \n  1 -> 2 [size =\"24905728\"]\n  1 -> 3 [size =\"24905728\"]\n  2 [size=\"46087680\", alpha=\"0.16\", expect_size=\"18435072\"] \n  3 [size=\"98992640\", alpha=\"0.13\", expect_size=\"39597056\"] \n  3 -> 4 [size =\"39597056\"]\n  3 -> 5 [size =\"39597056\"]\n  3 -> 6 [size =\"39597056\"]\n  4 [size=\"36610560\", alpha=\"0.17\", expect_size=\"14644224\"] \n  5 [size=\"59857920\", alpha=\"0.17\", expect_size=\"23943168\"] \n  5 -> 7 [size =\"23943168\"]\n  6 [size=\"13135360\", alpha=\"0.03\", expect_size=\"5254144\"] \n  7 [size=\"86371840\", alpha=\"0.17\", expect_size=\"34548736\"] \n  7 -> 8 [size =\"34548736\"]\n  7 -> 9 [size =\"34548736\"]\n  7 -> 10 [size =\"34548736\"]\n  8 [size=\"84579840\", alpha=\"0.08\", expect_size=\"33831936\"] \n  9 [size=\"118489600\", alpha=\"0.09\", expect_size=\"47395840\"] \n  10 [size=\"44730880\", alpha=\"0.10\", expect_size=\"17892352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66401280\", alpha=\"0.16\", expect_size=\"26560512\"] \n  1 -> 8 [size =\"26560512\"]\n  2 [size=\"40744960\", alpha=\"0.15\", expect_size=\"16297984\"] \n  2 -> 7 [size =\"16297984\"]\n  2 -> 8 [size =\"16297984\"]\n  3 [size=\"14853120\", alpha=\"0.14\", expect_size=\"5941248\"] \n  3 -> 7 [size =\"5941248\"]\n  3 -> 8 [size =\"5941248\"]\n  4 [size=\"81820160\", alpha=\"0.18\", expect_size=\"32728064\"] \n  5 [size=\"84528640\", alpha=\"0.14\", expect_size=\"33811456\"] \n  5 -> 9 [size =\"33811456\"]\n  6 [size=\"43942400\", alpha=\"0.09\", expect_size=\"17576960\"] \n  6 -> 7 [size =\"17576960\"]\n  7 [size=\"61191680\", alpha=\"0.16\", expect_size=\"24476672\"] \n  8 [size=\"115752960\", alpha=\"0.19\", expect_size=\"46301184\"] \n  8 -> 10 [size =\"46301184\"]\n  9 [size=\"58196480\", alpha=\"0.13\", expect_size=\"23278592\"] \n  10 [size=\"87859200\", alpha=\"0.14\", expect_size=\"35143680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157914453\", alpha=\"0.19\", expect_size=\"47374336\"] \n  1 -> 8 [size =\"47374336\"]\n  1 -> 9 [size =\"47374336\"]\n  1 -> 10 [size =\"47374336\"]\n  2 [size=\"136256853\", alpha=\"0.10\", expect_size=\"40877056\"] \n  2 -> 7 [size =\"40877056\"]\n  2 -> 8 [size =\"40877056\"]\n  2 -> 9 [size =\"40877056\"]\n  2 -> 10 [size =\"40877056\"]\n  3 [size=\"72458240\", alpha=\"0.10\", expect_size=\"21737472\"] \n  3 -> 9 [size =\"21737472\"]\n  4 [size=\"102748160\", alpha=\"0.18\", expect_size=\"30824448\"] \n  4 -> 6 [size =\"30824448\"]\n  4 -> 9 [size =\"30824448\"]\n  5 [size=\"157955413\", alpha=\"0.08\", expect_size=\"47386624\"] \n  5 -> 8 [size =\"47386624\"]\n  6 [size=\"135185067\", alpha=\"0.03\", expect_size=\"40555520\"] \n  7 [size=\"116073813\", alpha=\"0.08\", expect_size=\"34822144\"] \n  8 [size=\"100966400\", alpha=\"0.00\", expect_size=\"30289920\"] \n  9 [size=\"158699520\", alpha=\"0.19\", expect_size=\"47609856\"] \n  10 [size=\"144438613\", alpha=\"0.13\", expect_size=\"43331584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13463040\", alpha=\"0.04\", expect_size=\"5385216\"] \n  1 -> 2 [size =\"5385216\"]\n  2 [size=\"15275520\", alpha=\"0.19\", expect_size=\"6110208\"] \n  2 -> 3 [size =\"6110208\"]\n  3 [size=\"46602240\", alpha=\"0.11\", expect_size=\"18640896\"] \n  3 -> 4 [size =\"18640896\"]\n  4 [size=\"126517760\", alpha=\"0.13\", expect_size=\"50607104\"] \n  4 -> 5 [size =\"50607104\"]\n  5 [size=\"47459840\", alpha=\"0.06\", expect_size=\"18983936\"] \n  5 -> 6 [size =\"18983936\"]\n  6 [size=\"127098880\", alpha=\"0.13\", expect_size=\"50839552\"] \n  6 -> 7 [size =\"50839552\"]\n  7 [size=\"31544320\", alpha=\"0.12\", expect_size=\"12617728\"] \n  7 -> 8 [size =\"12617728\"]\n  8 [size=\"21690880\", alpha=\"0.02\", expect_size=\"8676352\"] \n  8 -> 9 [size =\"8676352\"]\n  9 [size=\"49305600\", alpha=\"0.16\", expect_size=\"19722240\"] \n  9 -> 10 [size =\"19722240\"]\n  10 [size=\"129582080\", alpha=\"0.05\", expect_size=\"51832832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75575296\", alpha=\"0.08\", expect_size=\"37787648\"] \n  1 -> 5 [size =\"37787648\"]\n  1 -> 6 [size =\"37787648\"]\n  2 [size=\"25831424\", alpha=\"0.00\", expect_size=\"12915712\"] \n  2 -> 4 [size =\"12915712\"]\n  2 -> 6 [size =\"12915712\"]\n  3 [size=\"58849280\", alpha=\"0.10\", expect_size=\"29424640\"] \n  3 -> 4 [size =\"29424640\"]\n  4 [size=\"68126720\", alpha=\"0.17\", expect_size=\"34063360\"] \n  4 -> 7 [size =\"34063360\"]\n  4 -> 8 [size =\"34063360\"]\n  5 [size=\"23148544\", alpha=\"0.18\", expect_size=\"11574272\"] \n  5 -> 7 [size =\"11574272\"]\n  6 [size=\"35975168\", alpha=\"0.05\", expect_size=\"17987584\"] \n  6 -> 8 [size =\"17987584\"]\n  7 [size=\"27445248\", alpha=\"0.15\", expect_size=\"13722624\"] \n  7 -> 9 [size =\"13722624\"]\n  7 -> 10 [size =\"13722624\"]\n  8 [size=\"95936512\", alpha=\"0.01\", expect_size=\"47968256\"] \n  8 -> 9 [size =\"47968256\"]\n  8 -> 10 [size =\"47968256\"]\n  9 [size=\"40630272\", alpha=\"0.17\", expect_size=\"20315136\"] \n  10 [size=\"100136960\", alpha=\"0.19\", expect_size=\"50068480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60479488\", alpha=\"0.16\", expect_size=\"30239744\"] \n  1 -> 2 [size =\"30239744\"]\n  2 [size=\"30502912\", alpha=\"0.16\", expect_size=\"15251456\"] \n  2 -> 3 [size =\"15251456\"]\n  3 [size=\"104333312\", alpha=\"0.06\", expect_size=\"52166656\"] \n  3 -> 4 [size =\"52166656\"]\n  4 [size=\"66152448\", alpha=\"0.17\", expect_size=\"33076224\"] \n  4 -> 5 [size =\"33076224\"]\n  5 [size=\"65239040\", alpha=\"0.14\", expect_size=\"32619520\"] \n  5 -> 6 [size =\"32619520\"]\n  6 [size=\"91394048\", alpha=\"0.09\", expect_size=\"45697024\"] \n  6 -> 7 [size =\"45697024\"]\n  7 [size=\"57262080\", alpha=\"0.11\", expect_size=\"28631040\"] \n  7 -> 8 [size =\"28631040\"]\n  8 [size=\"42606592\", alpha=\"0.15\", expect_size=\"21303296\"] \n  8 -> 9 [size =\"21303296\"]\n  9 [size=\"90599424\", alpha=\"0.17\", expect_size=\"45299712\"] \n  9 -> 10 [size =\"45299712\"]\n  10 [size=\"101713920\", alpha=\"0.10\", expect_size=\"50856960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90007040\", alpha=\"0.00\", expect_size=\"36002816\"] \n  1 -> 4 [size =\"36002816\"]\n  1 -> 5 [size =\"36002816\"]\n  2 [size=\"53626880\", alpha=\"0.06\", expect_size=\"21450752\"] \n  2 -> 7 [size =\"21450752\"]\n  3 [size=\"55631360\", alpha=\"0.07\", expect_size=\"22252544\"] \n  3 -> 5 [size =\"22252544\"]\n  3 -> 6 [size =\"22252544\"]\n  3 -> 7 [size =\"22252544\"]\n  4 [size=\"83243520\", alpha=\"0.06\", expect_size=\"33297408\"] \n  4 -> 8 [size =\"33297408\"]\n  4 -> 9 [size =\"33297408\"]\n  5 [size=\"36794880\", alpha=\"0.17\", expect_size=\"14717952\"] \n  5 -> 9 [size =\"14717952\"]\n  6 [size=\"35870720\", alpha=\"0.04\", expect_size=\"14348288\"] \n  6 -> 8 [size =\"14348288\"]\n  6 -> 9 [size =\"14348288\"]\n  7 [size=\"66147840\", alpha=\"0.10\", expect_size=\"26459136\"] \n  7 -> 10 [size =\"26459136\"]\n  8 [size=\"32688640\", alpha=\"0.01\", expect_size=\"13075456\"] \n  9 [size=\"52874240\", alpha=\"0.06\", expect_size=\"21149696\"] \n  10 [size=\"47733760\", alpha=\"0.09\", expect_size=\"19093504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85291008\", alpha=\"0.09\", expect_size=\"42645504\"] \n  1 -> 6 [size =\"42645504\"]\n  1 -> 7 [size =\"42645504\"]\n  2 [size=\"63911936\", alpha=\"0.18\", expect_size=\"31955968\"] \n  2 -> 6 [size =\"31955968\"]\n  2 -> 7 [size =\"31955968\"]\n  3 [size=\"60549120\", alpha=\"0.13\", expect_size=\"30274560\"] \n  3 -> 5 [size =\"30274560\"]\n  3 -> 8 [size =\"30274560\"]\n  3 -> 9 [size =\"30274560\"]\n  4 [size=\"48037888\", alpha=\"0.16\", expect_size=\"24018944\"] \n  4 -> 5 [size =\"24018944\"]\n  4 -> 8 [size =\"24018944\"]\n  5 [size=\"69085184\", alpha=\"0.18\", expect_size=\"34542592\"] \n  6 [size=\"18087936\", alpha=\"0.07\", expect_size=\"9043968\"] \n  6 -> 10 [size =\"9043968\"]\n  7 [size=\"16107520\", alpha=\"0.05\", expect_size=\"8053760\"] \n  7 -> 10 [size =\"8053760\"]\n  8 [size=\"69668864\", alpha=\"0.20\", expect_size=\"34834432\"] \n  8 -> 10 [size =\"34834432\"]\n  9 [size=\"79437824\", alpha=\"0.19\", expect_size=\"39718912\"] \n  10 [size=\"13211648\", alpha=\"0.09\", expect_size=\"6605824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48177152\", alpha=\"0.10\", expect_size=\"24088576\"] \n  2 [size=\"58497024\", alpha=\"0.02\", expect_size=\"29248512\"] \n  2 -> 3 [size =\"29248512\"]\n  2 -> 4 [size =\"29248512\"]\n  3 [size=\"102686720\", alpha=\"0.11\", expect_size=\"51343360\"] \n  4 [size=\"37199872\", alpha=\"0.02\", expect_size=\"18599936\"] \n  4 -> 5 [size =\"18599936\"]\n  5 [size=\"96227328\", alpha=\"0.01\", expect_size=\"48113664\"] \n  5 -> 6 [size =\"48113664\"]\n  5 -> 7 [size =\"48113664\"]\n  5 -> 8 [size =\"48113664\"]\n  5 -> 9 [size =\"48113664\"]\n  6 [size=\"55986176\", alpha=\"0.06\", expect_size=\"27993088\"] \n  6 -> 10 [size =\"27993088\"]\n  7 [size=\"101908480\", alpha=\"0.15\", expect_size=\"50954240\"] \n  8 [size=\"95102976\", alpha=\"0.01\", expect_size=\"47551488\"] \n  9 [size=\"15327232\", alpha=\"0.11\", expect_size=\"7663616\"] \n  10 [size=\"46110720\", alpha=\"0.10\", expect_size=\"23055360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21166080\", alpha=\"0.10\", expect_size=\"10583040\"] \n  1 -> 2 [size =\"10583040\"]\n  2 [size=\"23310336\", alpha=\"0.09\", expect_size=\"11655168\"] \n  2 -> 3 [size =\"11655168\"]\n  3 [size=\"53827584\", alpha=\"0.07\", expect_size=\"26913792\"] \n  3 -> 4 [size =\"26913792\"]\n  4 [size=\"48183296\", alpha=\"0.16\", expect_size=\"24091648\"] \n  4 -> 5 [size =\"24091648\"]\n  5 [size=\"31344640\", alpha=\"0.11\", expect_size=\"15672320\"] \n  5 -> 6 [size =\"15672320\"]\n  6 [size=\"30699520\", alpha=\"0.00\", expect_size=\"15349760\"] \n  6 -> 7 [size =\"15349760\"]\n  7 [size=\"35311616\", alpha=\"0.10\", expect_size=\"17655808\"] \n  7 -> 8 [size =\"17655808\"]\n  8 [size=\"102985728\", alpha=\"0.13\", expect_size=\"51492864\"] \n  8 -> 9 [size =\"51492864\"]\n  9 [size=\"15751168\", alpha=\"0.19\", expect_size=\"7875584\"] \n  9 -> 10 [size =\"7875584\"]\n  10 [size=\"64180224\", alpha=\"0.12\", expect_size=\"32090112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37928960\", alpha=\"0.16\", expect_size=\"11378688\"] \n  1 -> 2 [size =\"11378688\"]\n  2 [size=\"133362347\", alpha=\"0.18\", expect_size=\"40008704\"] \n  2 -> 3 [size =\"40008704\"]\n  3 [size=\"146309120\", alpha=\"0.15\", expect_size=\"43892736\"] \n  3 -> 4 [size =\"43892736\"]\n  4 [size=\"130546347\", alpha=\"0.08\", expect_size=\"39163904\"] \n  4 -> 5 [size =\"39163904\"]\n  5 [size=\"36553387\", alpha=\"0.00\", expect_size=\"10966016\"] \n  5 -> 6 [size =\"10966016\"]\n  6 [size=\"122241707\", alpha=\"0.18\", expect_size=\"36672512\"] \n  6 -> 7 [size =\"36672512\"]\n  7 [size=\"86640640\", alpha=\"0.04\", expect_size=\"25992192\"] \n  7 -> 8 [size =\"25992192\"]\n  8 [size=\"75915947\", alpha=\"0.19\", expect_size=\"22774784\"] \n  8 -> 9 [size =\"22774784\"]\n  9 [size=\"30836053\", alpha=\"0.05\", expect_size=\"9250816\"] \n  9 -> 10 [size =\"9250816\"]\n  10 [size=\"67372373\", alpha=\"0.19\", expect_size=\"20211712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100792320\", alpha=\"0.15\", expect_size=\"30237696\"] \n  1 -> 3 [size =\"30237696\"]\n  2 [size=\"158218240\", alpha=\"0.12\", expect_size=\"47465472\"] \n  2 -> 4 [size =\"47465472\"]\n  2 -> 5 [size =\"47465472\"]\n  3 [size=\"148575573\", alpha=\"0.13\", expect_size=\"44572672\"] \n  3 -> 6 [size =\"44572672\"]\n  4 [size=\"137140907\", alpha=\"0.12\", expect_size=\"41142272\"] \n  4 -> 7 [size =\"41142272\"]\n  5 [size=\"46267733\", alpha=\"0.12\", expect_size=\"13880320\"] \n  5 -> 6 [size =\"13880320\"]\n  6 [size=\"122009600\", alpha=\"0.09\", expect_size=\"36602880\"] \n  6 -> 8 [size =\"36602880\"]\n  6 -> 9 [size =\"36602880\"]\n  7 [size=\"99396267\", alpha=\"0.09\", expect_size=\"29818880\"] \n  7 -> 8 [size =\"29818880\"]\n  7 -> 9 [size =\"29818880\"]\n  7 -> 10 [size =\"29818880\"]\n  8 [size=\"64245760\", alpha=\"0.05\", expect_size=\"19273728\"] \n  9 [size=\"108052480\", alpha=\"0.10\", expect_size=\"32415744\"] \n  10 [size=\"146728960\", alpha=\"0.18\", expect_size=\"44018688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89817600\", alpha=\"0.02\", expect_size=\"35927040\"] \n  1 -> 2 [size =\"35927040\"]\n  2 [size=\"53473280\", alpha=\"0.06\", expect_size=\"21389312\"] \n  2 -> 3 [size =\"21389312\"]\n  3 [size=\"93895680\", alpha=\"0.13\", expect_size=\"37558272\"] \n  3 -> 4 [size =\"37558272\"]\n  4 [size=\"18529280\", alpha=\"0.20\", expect_size=\"7411712\"] \n  4 -> 5 [size =\"7411712\"]\n  5 [size=\"16814080\", alpha=\"0.09\", expect_size=\"6725632\"] \n  5 -> 6 [size =\"6725632\"]\n  6 [size=\"87488000\", alpha=\"0.06\", expect_size=\"34995200\"] \n  6 -> 7 [size =\"34995200\"]\n  7 [size=\"87687680\", alpha=\"0.09\", expect_size=\"35075072\"] \n  7 -> 8 [size =\"35075072\"]\n  8 [size=\"46448640\", alpha=\"0.16\", expect_size=\"18579456\"] \n  8 -> 9 [size =\"18579456\"]\n  9 [size=\"29440000\", alpha=\"0.11\", expect_size=\"11776000\"] \n  9 -> 10 [size =\"11776000\"]\n  10 [size=\"83340800\", alpha=\"0.07\", expect_size=\"33336320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64967680\", alpha=\"0.03\", expect_size=\"25987072\"] \n  2 [size=\"32486400\", alpha=\"0.18\", expect_size=\"12994560\"] \n  2 -> 7 [size =\"12994560\"]\n  2 -> 9 [size =\"12994560\"]\n  2 -> 10 [size =\"12994560\"]\n  3 [size=\"66273280\", alpha=\"0.03\", expect_size=\"26509312\"] \n  3 -> 8 [size =\"26509312\"]\n  3 -> 9 [size =\"26509312\"]\n  4 [size=\"103925760\", alpha=\"0.19\", expect_size=\"41570304\"] \n  4 -> 8 [size =\"41570304\"]\n  5 [size=\"38261760\", alpha=\"0.01\", expect_size=\"15304704\"] \n  5 -> 8 [size =\"15304704\"]\n  5 -> 9 [size =\"15304704\"]\n  6 [size=\"15416320\", alpha=\"0.07\", expect_size=\"6166528\"] \n  6 -> 10 [size =\"6166528\"]\n  7 [size=\"78863360\", alpha=\"0.19\", expect_size=\"31545344\"] \n  8 [size=\"123230720\", alpha=\"0.02\", expect_size=\"49292288\"] \n  9 [size=\"21352960\", alpha=\"0.06\", expect_size=\"8541184\"] \n  10 [size=\"19758080\", alpha=\"0.13\", expect_size=\"7903232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103727787\", alpha=\"0.10\", expect_size=\"31118336\"] \n  1 -> 8 [size =\"31118336\"]\n  2 [size=\"34754560\", alpha=\"0.09\", expect_size=\"10426368\"] \n  2 -> 8 [size =\"10426368\"]\n  3 [size=\"106516480\", alpha=\"0.04\", expect_size=\"31954944\"] \n  4 [size=\"111636480\", alpha=\"0.01\", expect_size=\"33490944\"] \n  4 -> 10 [size =\"33490944\"]\n  5 [size=\"127897600\", alpha=\"0.18\", expect_size=\"38369280\"] \n  6 [size=\"104666453\", alpha=\"0.14\", expect_size=\"31399936\"] \n  6 -> 9 [size =\"31399936\"]\n  6 -> 10 [size =\"31399936\"]\n  7 [size=\"50356907\", alpha=\"0.07\", expect_size=\"15107072\"] \n  8 [size=\"124965547\", alpha=\"0.11\", expect_size=\"37489664\"] \n  9 [size=\"174421333\", alpha=\"0.10\", expect_size=\"52326400\"] \n  10 [size=\"47885653\", alpha=\"0.02\", expect_size=\"14365696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96130560\", alpha=\"0.00\", expect_size=\"38452224\"] \n  1 -> 2 [size =\"38452224\"]\n  2 [size=\"89658880\", alpha=\"0.11\", expect_size=\"35863552\"] \n  2 -> 3 [size =\"35863552\"]\n  3 [size=\"103933440\", alpha=\"0.16\", expect_size=\"41573376\"] \n  3 -> 4 [size =\"41573376\"]\n  4 [size=\"73469440\", alpha=\"0.06\", expect_size=\"29387776\"] \n  4 -> 5 [size =\"29387776\"]\n  5 [size=\"100643840\", alpha=\"0.17\", expect_size=\"40257536\"] \n  5 -> 6 [size =\"40257536\"]\n  6 [size=\"71969280\", alpha=\"0.19\", expect_size=\"28787712\"] \n  6 -> 7 [size =\"28787712\"]\n  7 [size=\"93155840\", alpha=\"0.13\", expect_size=\"37262336\"] \n  7 -> 8 [size =\"37262336\"]\n  8 [size=\"128401920\", alpha=\"0.06\", expect_size=\"51360768\"] \n  8 -> 9 [size =\"51360768\"]\n  9 [size=\"101760000\", alpha=\"0.07\", expect_size=\"40704000\"] \n  9 -> 10 [size =\"40704000\"]\n  10 [size=\"56965120\", alpha=\"0.00\", expect_size=\"22786048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32024576\", alpha=\"0.16\", expect_size=\"16012288\"] \n  1 -> 2 [size =\"16012288\"]\n  2 [size=\"34914304\", alpha=\"0.10\", expect_size=\"17457152\"] \n  2 -> 3 [size =\"17457152\"]\n  3 [size=\"23744512\", alpha=\"0.14\", expect_size=\"11872256\"] \n  3 -> 4 [size =\"11872256\"]\n  4 [size=\"42936320\", alpha=\"0.19\", expect_size=\"21468160\"] \n  4 -> 5 [size =\"21468160\"]\n  5 [size=\"72531968\", alpha=\"0.16\", expect_size=\"36265984\"] \n  5 -> 6 [size =\"36265984\"]\n  6 [size=\"54734848\", alpha=\"0.07\", expect_size=\"27367424\"] \n  6 -> 7 [size =\"27367424\"]\n  7 [size=\"93216768\", alpha=\"0.18\", expect_size=\"46608384\"] \n  7 -> 8 [size =\"46608384\"]\n  8 [size=\"47683584\", alpha=\"0.13\", expect_size=\"23841792\"] \n  8 -> 9 [size =\"23841792\"]\n  9 [size=\"39821312\", alpha=\"0.03\", expect_size=\"19910656\"] \n  9 -> 10 [size =\"19910656\"]\n  10 [size=\"72386560\", alpha=\"0.19\", expect_size=\"36193280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19328000\", alpha=\"0.09\", expect_size=\"7731200\"] \n  1 -> 8 [size =\"7731200\"]\n  2 [size=\"20456960\", alpha=\"0.18\", expect_size=\"8182784\"] \n  2 -> 5 [size =\"8182784\"]\n  2 -> 6 [size =\"8182784\"]\n  3 [size=\"19251200\", alpha=\"0.01\", expect_size=\"7700480\"] \n  3 -> 5 [size =\"7700480\"]\n  3 -> 7 [size =\"7700480\"]\n  4 [size=\"86092800\", alpha=\"0.13\", expect_size=\"34437120\"] \n  4 -> 6 [size =\"34437120\"]\n  5 [size=\"118248960\", alpha=\"0.13\", expect_size=\"47299584\"] \n  5 -> 9 [size =\"47299584\"]\n  5 -> 10 [size =\"47299584\"]\n  6 [size=\"19686400\", alpha=\"0.13\", expect_size=\"7874560\"] \n  6 -> 10 [size =\"7874560\"]\n  7 [size=\"76011520\", alpha=\"0.18\", expect_size=\"30404608\"] \n  8 [size=\"43481600\", alpha=\"0.15\", expect_size=\"17392640\"] \n  9 [size=\"42260480\", alpha=\"0.02\", expect_size=\"16904192\"] \n  10 [size=\"26598400\", alpha=\"0.10\", expect_size=\"10639360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82419712\", alpha=\"0.18\", expect_size=\"41209856\"] \n  1 -> 2 [size =\"41209856\"]\n  2 [size=\"101206016\", alpha=\"0.16\", expect_size=\"50603008\"] \n  2 -> 3 [size =\"50603008\"]\n  3 [size=\"91774976\", alpha=\"0.09\", expect_size=\"45887488\"] \n  3 -> 4 [size =\"45887488\"]\n  4 [size=\"103401472\", alpha=\"0.03\", expect_size=\"51700736\"] \n  4 -> 5 [size =\"51700736\"]\n  5 [size=\"53972992\", alpha=\"0.14\", expect_size=\"26986496\"] \n  5 -> 6 [size =\"26986496\"]\n  6 [size=\"93212672\", alpha=\"0.13\", expect_size=\"46606336\"] \n  6 -> 7 [size =\"46606336\"]\n  7 [size=\"32696320\", alpha=\"0.17\", expect_size=\"16348160\"] \n  7 -> 8 [size =\"16348160\"]\n  8 [size=\"75034624\", alpha=\"0.06\", expect_size=\"37517312\"] \n  8 -> 9 [size =\"37517312\"]\n  9 [size=\"46180352\", alpha=\"0.04\", expect_size=\"23090176\"] \n  9 -> 10 [size =\"23090176\"]\n  10 [size=\"73144320\", alpha=\"0.14\", expect_size=\"36572160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21977600\", alpha=\"0.17\", expect_size=\"8791040\"] \n  1 -> 6 [size =\"8791040\"]\n  2 [size=\"50698240\", alpha=\"0.19\", expect_size=\"20279296\"] \n  2 -> 6 [size =\"20279296\"]\n  2 -> 7 [size =\"20279296\"]\n  3 [size=\"27494400\", alpha=\"0.06\", expect_size=\"10997760\"] \n  3 -> 6 [size =\"10997760\"]\n  3 -> 7 [size =\"10997760\"]\n  3 -> 9 [size =\"10997760\"]\n  4 [size=\"38950400\", alpha=\"0.01\", expect_size=\"15580160\"] \n  4 -> 7 [size =\"15580160\"]\n  4 -> 10 [size =\"15580160\"]\n  5 [size=\"27287040\", alpha=\"0.15\", expect_size=\"10914816\"] \n  5 -> 6 [size =\"10914816\"]\n  5 -> 8 [size =\"10914816\"]\n  5 -> 10 [size =\"10914816\"]\n  6 [size=\"36700160\", alpha=\"0.16\", expect_size=\"14680064\"] \n  7 [size=\"64629760\", alpha=\"0.17\", expect_size=\"25851904\"] \n  8 [size=\"60305920\", alpha=\"0.17\", expect_size=\"24122368\"] \n  9 [size=\"25226240\", alpha=\"0.09\", expect_size=\"10090496\"] \n  10 [size=\"112327680\", alpha=\"0.02\", expect_size=\"44931072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65409707\", alpha=\"0.11\", expect_size=\"19622912\"] \n  1 -> 2 [size =\"19622912\"]\n  2 [size=\"44813653\", alpha=\"0.13\", expect_size=\"13444096\"] \n  2 -> 3 [size =\"13444096\"]\n  3 [size=\"32293547\", alpha=\"0.15\", expect_size=\"9688064\"] \n  3 -> 4 [size =\"9688064\"]\n  4 [size=\"39437653\", alpha=\"0.08\", expect_size=\"11831296\"] \n  4 -> 5 [size =\"11831296\"]\n  5 [size=\"140369920\", alpha=\"0.13\", expect_size=\"42110976\"] \n  5 -> 6 [size =\"42110976\"]\n  6 [size=\"144107520\", alpha=\"0.09\", expect_size=\"43232256\"] \n  6 -> 7 [size =\"43232256\"]\n  7 [size=\"114875733\", alpha=\"0.17\", expect_size=\"34462720\"] \n  7 -> 8 [size =\"34462720\"]\n  8 [size=\"18176000\", alpha=\"0.10\", expect_size=\"5452800\"] \n  8 -> 9 [size =\"5452800\"]\n  9 [size=\"172090027\", alpha=\"0.16\", expect_size=\"51627008\"] \n  9 -> 10 [size =\"51627008\"]\n  10 [size=\"51718827\", alpha=\"0.10\", expect_size=\"15515648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87898112\", alpha=\"0.17\", expect_size=\"43949056\"] \n  1 -> 2 [size =\"43949056\"]\n  2 [size=\"36290560\", alpha=\"0.01\", expect_size=\"18145280\"] \n  2 -> 3 [size =\"18145280\"]\n  3 [size=\"53223424\", alpha=\"0.02\", expect_size=\"26611712\"] \n  3 -> 4 [size =\"26611712\"]\n  4 [size=\"53706752\", alpha=\"0.10\", expect_size=\"26853376\"] \n  4 -> 5 [size =\"26853376\"]\n  5 [size=\"74725376\", alpha=\"0.02\", expect_size=\"37362688\"] \n  5 -> 6 [size =\"37362688\"]\n  6 [size=\"34676736\", alpha=\"0.16\", expect_size=\"17338368\"] \n  6 -> 7 [size =\"17338368\"]\n  7 [size=\"38371328\", alpha=\"0.11\", expect_size=\"19185664\"] \n  7 -> 8 [size =\"19185664\"]\n  8 [size=\"95006720\", alpha=\"0.07\", expect_size=\"47503360\"] \n  8 -> 9 [size =\"47503360\"]\n  9 [size=\"11630592\", alpha=\"0.11\", expect_size=\"5815296\"] \n  9 -> 10 [size =\"5815296\"]\n  10 [size=\"101654528\", alpha=\"0.18\", expect_size=\"50827264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48294400\", alpha=\"0.10\", expect_size=\"19317760\"] \n  1 -> 4 [size =\"19317760\"]\n  1 -> 5 [size =\"19317760\"]\n  2 [size=\"131028480\", alpha=\"0.17\", expect_size=\"52411392\"] \n  2 -> 3 [size =\"52411392\"]\n  2 -> 4 [size =\"52411392\"]\n  2 -> 5 [size =\"52411392\"]\n  3 [size=\"116160000\", alpha=\"0.07\", expect_size=\"46464000\"] \n  3 -> 6 [size =\"46464000\"]\n  3 -> 7 [size =\"46464000\"]\n  4 [size=\"91363840\", alpha=\"0.01\", expect_size=\"36545536\"] \n  4 -> 6 [size =\"36545536\"]\n  5 [size=\"125281280\", alpha=\"0.10\", expect_size=\"50112512\"] \n  5 -> 6 [size =\"50112512\"]\n  6 [size=\"46960640\", alpha=\"0.19\", expect_size=\"18784256\"] \n  6 -> 8 [size =\"18784256\"]\n  7 [size=\"25208320\", alpha=\"0.15\", expect_size=\"10083328\"] \n  7 -> 9 [size =\"10083328\"]\n  8 [size=\"65208320\", alpha=\"0.06\", expect_size=\"26083328\"] \n  8 -> 10 [size =\"26083328\"]\n  9 [size=\"30210560\", alpha=\"0.15\", expect_size=\"12084224\"] \n  10 [size=\"92323840\", alpha=\"0.01\", expect_size=\"36929536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94554112\", alpha=\"0.09\", expect_size=\"47277056\"] \n  2 [size=\"71192576\", alpha=\"0.14\", expect_size=\"35596288\"] \n  2 -> 6 [size =\"35596288\"]\n  2 -> 7 [size =\"35596288\"]\n  3 [size=\"53377024\", alpha=\"0.07\", expect_size=\"26688512\"] \n  3 -> 10 [size =\"26688512\"]\n  4 [size=\"75597824\", alpha=\"0.18\", expect_size=\"37798912\"] \n  4 -> 8 [size =\"37798912\"]\n  4 -> 9 [size =\"37798912\"]\n  4 -> 10 [size =\"37798912\"]\n  5 [size=\"64198656\", alpha=\"0.16\", expect_size=\"32099328\"] \n  5 -> 9 [size =\"32099328\"]\n  5 -> 10 [size =\"32099328\"]\n  6 [size=\"84541440\", alpha=\"0.16\", expect_size=\"42270720\"] \n  7 [size=\"45379584\", alpha=\"0.02\", expect_size=\"22689792\"] \n  8 [size=\"69490688\", alpha=\"0.04\", expect_size=\"34745344\"] \n  9 [size=\"44386304\", alpha=\"0.10\", expect_size=\"22193152\"] \n  10 [size=\"31371264\", alpha=\"0.06\", expect_size=\"15685632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66996907\", alpha=\"0.08\", expect_size=\"20099072\"] \n  1 -> 4 [size =\"20099072\"]\n  2 [size=\"140745387\", alpha=\"0.11\", expect_size=\"42223616\"] \n  2 -> 3 [size =\"42223616\"]\n  2 -> 5 [size =\"42223616\"]\n  3 [size=\"151756800\", alpha=\"0.09\", expect_size=\"45527040\"] \n  4 [size=\"92241920\", alpha=\"0.08\", expect_size=\"27672576\"] \n  5 [size=\"123364693\", alpha=\"0.07\", expect_size=\"37009408\"] \n  5 -> 6 [size =\"37009408\"]\n  5 -> 7 [size =\"37009408\"]\n  6 [size=\"32925013\", alpha=\"0.14\", expect_size=\"9877504\"] \n  6 -> 8 [size =\"9877504\"]\n  7 [size=\"93532160\", alpha=\"0.00\", expect_size=\"28059648\"] \n  7 -> 9 [size =\"28059648\"]\n  7 -> 10 [size =\"28059648\"]\n  8 [size=\"43199147\", alpha=\"0.02\", expect_size=\"12959744\"] \n  9 [size=\"120279040\", alpha=\"0.00\", expect_size=\"36083712\"] \n  10 [size=\"125166933\", alpha=\"0.10\", expect_size=\"37550080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32989867\", alpha=\"0.14\", expect_size=\"9896960\"] \n  1 -> 10 [size =\"9896960\"]\n  2 [size=\"99792213\", alpha=\"0.18\", expect_size=\"29937664\"] \n  2 -> 10 [size =\"29937664\"]\n  3 [size=\"123289600\", alpha=\"0.07\", expect_size=\"36986880\"] \n  4 [size=\"69891413\", alpha=\"0.12\", expect_size=\"20967424\"] \n  5 [size=\"22295893\", alpha=\"0.01\", expect_size=\"6688768\"] \n  6 [size=\"70338560\", alpha=\"0.18\", expect_size=\"21101568\"] \n  6 -> 9 [size =\"21101568\"]\n  7 [size=\"120125440\", alpha=\"0.08\", expect_size=\"36037632\"] \n  7 -> 9 [size =\"36037632\"]\n  8 [size=\"33539413\", alpha=\"0.03\", expect_size=\"10061824\"] \n  8 -> 10 [size =\"10061824\"]\n  9 [size=\"125917867\", alpha=\"0.17\", expect_size=\"37775360\"] \n  10 [size=\"90835627\", alpha=\"0.12\", expect_size=\"27250688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19525120\", alpha=\"0.07\", expect_size=\"7810048\"] \n  1 -> 5 [size =\"7810048\"]\n  1 -> 6 [size =\"7810048\"]\n  1 -> 7 [size =\"7810048\"]\n  2 [size=\"68293120\", alpha=\"0.08\", expect_size=\"27317248\"] \n  2 -> 5 [size =\"27317248\"]\n  2 -> 7 [size =\"27317248\"]\n  3 [size=\"118832640\", alpha=\"0.01\", expect_size=\"47533056\"] \n  3 -> 5 [size =\"47533056\"]\n  3 -> 6 [size =\"47533056\"]\n  4 [size=\"35266560\", alpha=\"0.15\", expect_size=\"14106624\"] \n  5 [size=\"119979520\", alpha=\"0.03\", expect_size=\"47991808\"] \n  5 -> 9 [size =\"47991808\"]\n  6 [size=\"42949120\", alpha=\"0.08\", expect_size=\"17179648\"] \n  6 -> 8 [size =\"17179648\"]\n  6 -> 9 [size =\"17179648\"]\n  7 [size=\"107888640\", alpha=\"0.19\", expect_size=\"43155456\"] \n  7 -> 8 [size =\"43155456\"]\n  7 -> 9 [size =\"43155456\"]\n  8 [size=\"82810880\", alpha=\"0.08\", expect_size=\"33124352\"] \n  9 [size=\"76280320\", alpha=\"0.20\", expect_size=\"30512128\"] \n  9 -> 10 [size =\"30512128\"]\n  10 [size=\"72325120\", alpha=\"0.04\", expect_size=\"28930048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86712320\", alpha=\"0.18\", expect_size=\"43356160\"] \n  2 [size=\"48678912\", alpha=\"0.11\", expect_size=\"24339456\"] \n  3 [size=\"94691328\", alpha=\"0.18\", expect_size=\"47345664\"] \n  3 -> 9 [size =\"47345664\"]\n  3 -> 10 [size =\"47345664\"]\n  4 [size=\"55574528\", alpha=\"0.16\", expect_size=\"27787264\"] \n  5 [size=\"104222720\", alpha=\"0.05\", expect_size=\"52111360\"] \n  5 -> 10 [size =\"52111360\"]\n  6 [size=\"47149056\", alpha=\"0.11\", expect_size=\"23574528\"] \n  6 -> 10 [size =\"23574528\"]\n  7 [size=\"51668992\", alpha=\"0.04\", expect_size=\"25834496\"] \n  7 -> 9 [size =\"25834496\"]\n  8 [size=\"65196032\", alpha=\"0.11\", expect_size=\"32598016\"] \n  8 -> 9 [size =\"32598016\"]\n  9 [size=\"12398592\", alpha=\"0.04\", expect_size=\"6199296\"] \n  10 [size=\"77672448\", alpha=\"0.18\", expect_size=\"38836224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96202752\", alpha=\"0.16\", expect_size=\"48101376\"] \n  2 [size=\"89845760\", alpha=\"0.03\", expect_size=\"44922880\"] \n  2 -> 7 [size =\"44922880\"]\n  3 [size=\"104577024\", alpha=\"0.08\", expect_size=\"52288512\"] \n  3 -> 7 [size =\"52288512\"]\n  3 -> 9 [size =\"52288512\"]\n  3 -> 10 [size =\"52288512\"]\n  4 [size=\"38275072\", alpha=\"0.18\", expect_size=\"19137536\"] \n  4 -> 10 [size =\"19137536\"]\n  5 [size=\"54685696\", alpha=\"0.12\", expect_size=\"27342848\"] \n  6 [size=\"48965632\", alpha=\"0.08\", expect_size=\"24482816\"] \n  6 -> 8 [size =\"24482816\"]\n  6 -> 9 [size =\"24482816\"]\n  7 [size=\"17131520\", alpha=\"0.12\", expect_size=\"8565760\"] \n  8 [size=\"39710720\", alpha=\"0.20\", expect_size=\"19855360\"] \n  9 [size=\"50649088\", alpha=\"0.08\", expect_size=\"25324544\"] \n  10 [size=\"40976384\", alpha=\"0.15\", expect_size=\"20488192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75046400\", alpha=\"0.13\", expect_size=\"30018560\"] \n  1 -> 6 [size =\"30018560\"]\n  2 [size=\"107025920\", alpha=\"0.15\", expect_size=\"42810368\"] \n  2 -> 7 [size =\"42810368\"]\n  2 -> 10 [size =\"42810368\"]\n  3 [size=\"27740160\", alpha=\"0.09\", expect_size=\"11096064\"] \n  3 -> 7 [size =\"11096064\"]\n  3 -> 8 [size =\"11096064\"]\n  4 [size=\"29288960\", alpha=\"0.00\", expect_size=\"11715584\"] \n  4 -> 6 [size =\"11715584\"]\n  4 -> 8 [size =\"11715584\"]\n  4 -> 9 [size =\"11715584\"]\n  5 [size=\"69004800\", alpha=\"0.00\", expect_size=\"27601920\"] \n  5 -> 6 [size =\"27601920\"]\n  5 -> 10 [size =\"27601920\"]\n  6 [size=\"126648320\", alpha=\"0.15\", expect_size=\"50659328\"] \n  7 [size=\"42122240\", alpha=\"0.01\", expect_size=\"16848896\"] \n  8 [size=\"23503360\", alpha=\"0.10\", expect_size=\"9401344\"] \n  9 [size=\"117821440\", alpha=\"0.12\", expect_size=\"47128576\"] \n  10 [size=\"13196800\", alpha=\"0.15\", expect_size=\"5278720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15613440\", alpha=\"0.04\", expect_size=\"6245376\"] \n  1 -> 3 [size =\"6245376\"]\n  1 -> 4 [size =\"6245376\"]\n  2 [size=\"110026240\", alpha=\"0.12\", expect_size=\"44010496\"] \n  2 -> 3 [size =\"44010496\"]\n  2 -> 4 [size =\"44010496\"]\n  3 [size=\"67880960\", alpha=\"0.05\", expect_size=\"27152384\"] \n  3 -> 5 [size =\"27152384\"]\n  3 -> 6 [size =\"27152384\"]\n  3 -> 7 [size =\"27152384\"]\n  4 [size=\"83054080\", alpha=\"0.18\", expect_size=\"33221632\"] \n  4 -> 5 [size =\"33221632\"]\n  4 -> 6 [size =\"33221632\"]\n  4 -> 7 [size =\"33221632\"]\n  5 [size=\"113149440\", alpha=\"0.04\", expect_size=\"45259776\"] \n  5 -> 8 [size =\"45259776\"]\n  5 -> 10 [size =\"45259776\"]\n  6 [size=\"76218880\", alpha=\"0.17\", expect_size=\"30487552\"] \n  6 -> 8 [size =\"30487552\"]\n  6 -> 10 [size =\"30487552\"]\n  7 [size=\"120573440\", alpha=\"0.15\", expect_size=\"48229376\"] \n  7 -> 8 [size =\"48229376\"]\n  7 -> 9 [size =\"48229376\"]\n  7 -> 10 [size =\"48229376\"]\n  8 [size=\"61189120\", alpha=\"0.09\", expect_size=\"24475648\"] \n  9 [size=\"102133760\", alpha=\"0.18\", expect_size=\"40853504\"] \n  10 [size=\"23014400\", alpha=\"0.10\", expect_size=\"9205760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129482240\", alpha=\"0.01\", expect_size=\"51792896\"] \n  1 -> 2 [size =\"51792896\"]\n  2 [size=\"36815360\", alpha=\"0.17\", expect_size=\"14726144\"] \n  2 -> 3 [size =\"14726144\"]\n  3 [size=\"38750720\", alpha=\"0.12\", expect_size=\"15500288\"] \n  3 -> 4 [size =\"15500288\"]\n  4 [size=\"115366400\", alpha=\"0.19\", expect_size=\"46146560\"] \n  4 -> 5 [size =\"46146560\"]\n  5 [size=\"51735040\", alpha=\"0.05\", expect_size=\"20694016\"] \n  5 -> 6 [size =\"20694016\"]\n  6 [size=\"57973760\", alpha=\"0.07\", expect_size=\"23189504\"] \n  6 -> 7 [size =\"23189504\"]\n  7 [size=\"67130880\", alpha=\"0.13\", expect_size=\"26852352\"] \n  7 -> 8 [size =\"26852352\"]\n  8 [size=\"14172160\", alpha=\"0.18\", expect_size=\"5668864\"] \n  8 -> 9 [size =\"5668864\"]\n  9 [size=\"58836480\", alpha=\"0.11\", expect_size=\"23534592\"] \n  9 -> 10 [size =\"23534592\"]\n  10 [size=\"112217600\", alpha=\"0.18\", expect_size=\"44887040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10921984\", alpha=\"0.07\", expect_size=\"5460992\"] \n  1 -> 2 [size =\"5460992\"]\n  2 [size=\"86282240\", alpha=\"0.05\", expect_size=\"43141120\"] \n  2 -> 3 [size =\"43141120\"]\n  3 [size=\"17897472\", alpha=\"0.09\", expect_size=\"8948736\"] \n  3 -> 4 [size =\"8948736\"]\n  4 [size=\"28184576\", alpha=\"0.11\", expect_size=\"14092288\"] \n  4 -> 5 [size =\"14092288\"]\n  5 [size=\"32081920\", alpha=\"0.14\", expect_size=\"16040960\"] \n  5 -> 6 [size =\"16040960\"]\n  6 [size=\"41920512\", alpha=\"0.04\", expect_size=\"20960256\"] \n  6 -> 7 [size =\"20960256\"]\n  7 [size=\"23234560\", alpha=\"0.07\", expect_size=\"11617280\"] \n  7 -> 8 [size =\"11617280\"]\n  8 [size=\"95442944\", alpha=\"0.04\", expect_size=\"47721472\"] \n  8 -> 9 [size =\"47721472\"]\n  9 [size=\"96905216\", alpha=\"0.16\", expect_size=\"48452608\"] \n  9 -> 10 [size =\"48452608\"]\n  10 [size=\"18620416\", alpha=\"0.05\", expect_size=\"9310208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35995648\", alpha=\"0.04\", expect_size=\"17997824\"] \n  1 -> 4 [size =\"17997824\"]\n  1 -> 5 [size =\"17997824\"]\n  2 [size=\"65232896\", alpha=\"0.19\", expect_size=\"32616448\"] \n  2 -> 5 [size =\"32616448\"]\n  3 [size=\"93288448\", alpha=\"0.05\", expect_size=\"46644224\"] \n  3 -> 5 [size =\"46644224\"]\n  4 [size=\"102492160\", alpha=\"0.19\", expect_size=\"51246080\"] \n  4 -> 6 [size =\"51246080\"]\n  4 -> 7 [size =\"51246080\"]\n  5 [size=\"49901568\", alpha=\"0.17\", expect_size=\"24950784\"] \n  5 -> 6 [size =\"24950784\"]\n  5 -> 8 [size =\"24950784\"]\n  6 [size=\"40828928\", alpha=\"0.14\", expect_size=\"20414464\"] \n  7 [size=\"90066944\", alpha=\"0.08\", expect_size=\"45033472\"] \n  7 -> 9 [size =\"45033472\"]\n  8 [size=\"31969280\", alpha=\"0.01\", expect_size=\"15984640\"] \n  8 -> 9 [size =\"15984640\"]\n  8 -> 10 [size =\"15984640\"]\n  9 [size=\"101203968\", alpha=\"0.19\", expect_size=\"50601984\"] \n  10 [size=\"71188480\", alpha=\"0.12\", expect_size=\"35594240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60342272\", alpha=\"0.03\", expect_size=\"30171136\"] \n  1 -> 2 [size =\"30171136\"]\n  2 [size=\"49383424\", alpha=\"0.04\", expect_size=\"24691712\"] \n  2 -> 3 [size =\"24691712\"]\n  3 [size=\"99954688\", alpha=\"0.07\", expect_size=\"49977344\"] \n  3 -> 4 [size =\"49977344\"]\n  4 [size=\"12234752\", alpha=\"0.03\", expect_size=\"6117376\"] \n  4 -> 5 [size =\"6117376\"]\n  5 [size=\"23975936\", alpha=\"0.03\", expect_size=\"11987968\"] \n  5 -> 6 [size =\"11987968\"]\n  6 [size=\"86132736\", alpha=\"0.13\", expect_size=\"43066368\"] \n  6 -> 7 [size =\"43066368\"]\n  7 [size=\"41787392\", alpha=\"0.02\", expect_size=\"20893696\"] \n  7 -> 8 [size =\"20893696\"]\n  8 [size=\"87447552\", alpha=\"0.11\", expect_size=\"43723776\"] \n  8 -> 9 [size =\"43723776\"]\n  9 [size=\"102369280\", alpha=\"0.12\", expect_size=\"51184640\"] \n  9 -> 10 [size =\"51184640\"]\n  10 [size=\"92502016\", alpha=\"0.04\", expect_size=\"46251008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62103552\", alpha=\"0.19\", expect_size=\"31051776\"] \n  1 -> 2 [size =\"31051776\"]\n  2 [size=\"11956224\", alpha=\"0.02\", expect_size=\"5978112\"] \n  2 -> 3 [size =\"5978112\"]\n  3 [size=\"39868416\", alpha=\"0.15\", expect_size=\"19934208\"] \n  3 -> 4 [size =\"19934208\"]\n  4 [size=\"90005504\", alpha=\"0.16\", expect_size=\"45002752\"] \n  4 -> 5 [size =\"45002752\"]\n  5 [size=\"15147008\", alpha=\"0.02\", expect_size=\"7573504\"] \n  5 -> 6 [size =\"7573504\"]\n  6 [size=\"82352128\", alpha=\"0.00\", expect_size=\"41176064\"] \n  6 -> 7 [size =\"41176064\"]\n  7 [size=\"59437056\", alpha=\"0.07\", expect_size=\"29718528\"] \n  7 -> 8 [size =\"29718528\"]\n  8 [size=\"78436352\", alpha=\"0.18\", expect_size=\"39218176\"] \n  8 -> 9 [size =\"39218176\"]\n  9 [size=\"59486208\", alpha=\"0.18\", expect_size=\"29743104\"] \n  9 -> 10 [size =\"29743104\"]\n  10 [size=\"70666240\", alpha=\"0.11\", expect_size=\"35333120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31562240\", alpha=\"0.07\", expect_size=\"12624896\"] \n  2 [size=\"124672000\", alpha=\"0.16\", expect_size=\"49868800\"] \n  2 -> 9 [size =\"49868800\"]\n  2 -> 10 [size =\"49868800\"]\n  3 [size=\"106280960\", alpha=\"0.11\", expect_size=\"42512384\"] \n  4 [size=\"81543680\", alpha=\"0.13\", expect_size=\"32617472\"] \n  4 -> 9 [size =\"32617472\"]\n  4 -> 10 [size =\"32617472\"]\n  5 [size=\"57190400\", alpha=\"0.14\", expect_size=\"22876160\"] \n  5 -> 9 [size =\"22876160\"]\n  6 [size=\"29009920\", alpha=\"0.14\", expect_size=\"11603968\"] \n  6 -> 9 [size =\"11603968\"]\n  7 [size=\"85783040\", alpha=\"0.19\", expect_size=\"34313216\"] \n  7 -> 10 [size =\"34313216\"]\n  8 [size=\"77299200\", alpha=\"0.15\", expect_size=\"30919680\"] \n  8 -> 10 [size =\"30919680\"]\n  9 [size=\"120266240\", alpha=\"0.14\", expect_size=\"48106496\"] \n  10 [size=\"104122880\", alpha=\"0.13\", expect_size=\"41649152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17735680\", alpha=\"0.18\", expect_size=\"8867840\"] \n  1 -> 9 [size =\"8867840\"]\n  2 [size=\"16080896\", alpha=\"0.08\", expect_size=\"8040448\"] \n  2 -> 7 [size =\"8040448\"]\n  2 -> 9 [size =\"8040448\"]\n  3 [size=\"67166208\", alpha=\"0.08\", expect_size=\"33583104\"] \n  3 -> 6 [size =\"33583104\"]\n  4 [size=\"16748544\", alpha=\"0.17\", expect_size=\"8374272\"] \n  4 -> 6 [size =\"8374272\"]\n  4 -> 8 [size =\"8374272\"]\n  4 -> 9 [size =\"8374272\"]\n  5 [size=\"51914752\", alpha=\"0.13\", expect_size=\"25957376\"] \n  6 [size=\"11831296\", alpha=\"0.05\", expect_size=\"5915648\"] \n  6 -> 10 [size =\"5915648\"]\n  7 [size=\"103899136\", alpha=\"0.05\", expect_size=\"51949568\"] \n  7 -> 10 [size =\"51949568\"]\n  8 [size=\"13207552\", alpha=\"0.06\", expect_size=\"6603776\"] \n  9 [size=\"38084608\", alpha=\"0.18\", expect_size=\"19042304\"] \n  10 [size=\"85946368\", alpha=\"0.04\", expect_size=\"42973184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115310080\", alpha=\"0.02\", expect_size=\"46124032\"] \n  1 -> 8 [size =\"46124032\"]\n  2 [size=\"110796800\", alpha=\"0.19\", expect_size=\"44318720\"] \n  3 [size=\"14348800\", alpha=\"0.02\", expect_size=\"5739520\"] \n  3 -> 9 [size =\"5739520\"]\n  3 -> 10 [size =\"5739520\"]\n  4 [size=\"98744320\", alpha=\"0.07\", expect_size=\"39497728\"] \n  4 -> 8 [size =\"39497728\"]\n  4 -> 9 [size =\"39497728\"]\n  5 [size=\"52943360\", alpha=\"0.08\", expect_size=\"21177344\"] \n  5 -> 10 [size =\"21177344\"]\n  6 [size=\"35358720\", alpha=\"0.16\", expect_size=\"14143488\"] \n  6 -> 8 [size =\"14143488\"]\n  6 -> 9 [size =\"14143488\"]\n  6 -> 10 [size =\"14143488\"]\n  7 [size=\"119413760\", alpha=\"0.05\", expect_size=\"47765504\"] \n  7 -> 8 [size =\"47765504\"]\n  7 -> 10 [size =\"47765504\"]\n  8 [size=\"15805440\", alpha=\"0.03\", expect_size=\"6322176\"] \n  9 [size=\"100392960\", alpha=\"0.12\", expect_size=\"40157184\"] \n  10 [size=\"15129600\", alpha=\"0.09\", expect_size=\"6051840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114424320\", alpha=\"0.15\", expect_size=\"45769728\"] \n  1 -> 6 [size =\"45769728\"]\n  1 -> 8 [size =\"45769728\"]\n  2 [size=\"72706560\", alpha=\"0.02\", expect_size=\"29082624\"] \n  2 -> 6 [size =\"29082624\"]\n  2 -> 9 [size =\"29082624\"]\n  3 [size=\"124162560\", alpha=\"0.11\", expect_size=\"49665024\"] \n  3 -> 6 [size =\"49665024\"]\n  3 -> 8 [size =\"49665024\"]\n  3 -> 9 [size =\"49665024\"]\n  4 [size=\"92618240\", alpha=\"0.16\", expect_size=\"37047296\"] \n  4 -> 7 [size =\"37047296\"]\n  5 [size=\"105154560\", alpha=\"0.04\", expect_size=\"42061824\"] \n  6 [size=\"47367680\", alpha=\"0.01\", expect_size=\"18947072\"] \n  7 [size=\"96931840\", alpha=\"0.05\", expect_size=\"38772736\"] \n  8 [size=\"66375680\", alpha=\"0.03\", expect_size=\"26550272\"] \n  9 [size=\"22464000\", alpha=\"0.03\", expect_size=\"8985600\"] \n  9 -> 10 [size =\"8985600\"]\n  10 [size=\"44851200\", alpha=\"0.12\", expect_size=\"17940480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28866560\", alpha=\"0.17\", expect_size=\"8659968\"] \n  1 -> 6 [size =\"8659968\"]\n  1 -> 7 [size =\"8659968\"]\n  2 [size=\"49861973\", alpha=\"0.03\", expect_size=\"14958592\"] \n  2 -> 7 [size =\"14958592\"]\n  2 -> 8 [size =\"14958592\"]\n  2 -> 10 [size =\"14958592\"]\n  3 [size=\"53002240\", alpha=\"0.03\", expect_size=\"15900672\"] \n  3 -> 7 [size =\"15900672\"]\n  4 [size=\"153630720\", alpha=\"0.01\", expect_size=\"46089216\"] \n  4 -> 10 [size =\"46089216\"]\n  5 [size=\"63829333\", alpha=\"0.02\", expect_size=\"19148800\"] \n  5 -> 6 [size =\"19148800\"]\n  5 -> 9 [size =\"19148800\"]\n  6 [size=\"54360747\", alpha=\"0.09\", expect_size=\"16308224\"] \n  7 [size=\"124016640\", alpha=\"0.01\", expect_size=\"37204992\"] \n  8 [size=\"94815573\", alpha=\"0.11\", expect_size=\"28444672\"] \n  9 [size=\"27002880\", alpha=\"0.19\", expect_size=\"8100864\"] \n  10 [size=\"135570773\", alpha=\"0.04\", expect_size=\"40671232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27576320\", alpha=\"0.04\", expect_size=\"13788160\"] \n  2 [size=\"24793088\", alpha=\"0.15\", expect_size=\"12396544\"] \n  2 -> 7 [size =\"12396544\"]\n  2 -> 8 [size =\"12396544\"]\n  2 -> 9 [size =\"12396544\"]\n  3 [size=\"42731520\", alpha=\"0.13\", expect_size=\"21365760\"] \n  3 -> 8 [size =\"21365760\"]\n  3 -> 8 [size =\"21365760\"]\n  3 -> 9 [size =\"21365760\"]\n  4 [size=\"28905472\", alpha=\"0.13\", expect_size=\"14452736\"] \n  4 -> 8 [size =\"14452736\"]\n  4 -> 9 [size =\"14452736\"]\n  4 -> 10 [size =\"14452736\"]\n  5 [size=\"37355520\", alpha=\"0.20\", expect_size=\"18677760\"] \n  5 -> 7 [size =\"18677760\"]\n  5 -> 9 [size =\"18677760\"]\n  5 -> 10 [size =\"18677760\"]\n  6 [size=\"83253248\", alpha=\"0.16\", expect_size=\"41626624\"] \n  6 -> 9 [size =\"41626624\"]\n  7 [size=\"41773056\", alpha=\"0.20\", expect_size=\"20886528\"] \n  8 [size=\"80793600\", alpha=\"0.00\", expect_size=\"40396800\"] \n  9 [size=\"104198144\", alpha=\"0.13\", expect_size=\"52099072\"] \n  10 [size=\"47628288\", alpha=\"0.13\", expect_size=\"23814144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27791360\", alpha=\"0.02\", expect_size=\"13895680\"] \n  1 -> 2 [size =\"13895680\"]\n  2 [size=\"80801792\", alpha=\"0.11\", expect_size=\"40400896\"] \n  2 -> 3 [size =\"40400896\"]\n  3 [size=\"44414976\", alpha=\"0.09\", expect_size=\"22207488\"] \n  3 -> 4 [size =\"22207488\"]\n  4 [size=\"21362688\", alpha=\"0.11\", expect_size=\"10681344\"] \n  4 -> 5 [size =\"10681344\"]\n  5 [size=\"95137792\", alpha=\"0.17\", expect_size=\"47568896\"] \n  5 -> 6 [size =\"47568896\"]\n  6 [size=\"55924736\", alpha=\"0.05\", expect_size=\"27962368\"] \n  6 -> 7 [size =\"27962368\"]\n  7 [size=\"88369152\", alpha=\"0.19\", expect_size=\"44184576\"] \n  7 -> 8 [size =\"44184576\"]\n  8 [size=\"61933568\", alpha=\"0.15\", expect_size=\"30966784\"] \n  8 -> 9 [size =\"30966784\"]\n  9 [size=\"88547328\", alpha=\"0.07\", expect_size=\"44273664\"] \n  9 -> 10 [size =\"44273664\"]\n  10 [size=\"10608640\", alpha=\"0.16\", expect_size=\"5304320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157153280\", alpha=\"0.09\", expect_size=\"47145984\"] \n  2 [size=\"100939093\", alpha=\"0.08\", expect_size=\"30281728\"] \n  2 -> 8 [size =\"30281728\"]\n  2 -> 10 [size =\"30281728\"]\n  3 [size=\"105359360\", alpha=\"0.14\", expect_size=\"31607808\"] \n  3 -> 7 [size =\"31607808\"]\n  3 -> 10 [size =\"31607808\"]\n  4 [size=\"70502400\", alpha=\"0.17\", expect_size=\"21150720\"] \n  4 -> 9 [size =\"21150720\"]\n  5 [size=\"134608213\", alpha=\"0.14\", expect_size=\"40382464\"] \n  5 -> 7 [size =\"40382464\"]\n  5 -> 8 [size =\"40382464\"]\n  5 -> 10 [size =\"40382464\"]\n  6 [size=\"67942400\", alpha=\"0.19\", expect_size=\"20382720\"] \n  6 -> 7 [size =\"20382720\"]\n  7 [size=\"113855147\", alpha=\"0.06\", expect_size=\"34156544\"] \n  8 [size=\"52125013\", alpha=\"0.09\", expect_size=\"15637504\"] \n  9 [size=\"146739200\", alpha=\"0.20\", expect_size=\"44021760\"] \n  10 [size=\"39109973\", alpha=\"0.19\", expect_size=\"11732992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56545280\", alpha=\"0.13\", expect_size=\"16963584\"] \n  1 -> 8 [size =\"16963584\"]\n  1 -> 10 [size =\"16963584\"]\n  2 [size=\"124347733\", alpha=\"0.13\", expect_size=\"37304320\"] \n  2 -> 7 [size =\"37304320\"]\n  3 [size=\"51940693\", alpha=\"0.18\", expect_size=\"15582208\"] \n  4 [size=\"99000320\", alpha=\"0.12\", expect_size=\"29700096\"] \n  4 -> 7 [size =\"29700096\"]\n  4 -> 9 [size =\"29700096\"]\n  5 [size=\"116029440\", alpha=\"0.16\", expect_size=\"34808832\"] \n  5 -> 8 [size =\"34808832\"]\n  5 -> 9 [size =\"34808832\"]\n  5 -> 10 [size =\"34808832\"]\n  6 [size=\"96805547\", alpha=\"0.13\", expect_size=\"29041664\"] \n  6 -> 7 [size =\"29041664\"]\n  6 -> 8 [size =\"29041664\"]\n  6 -> 9 [size =\"29041664\"]\n  6 -> 10 [size =\"29041664\"]\n  7 [size=\"28873387\", alpha=\"0.15\", expect_size=\"8662016\"] \n  8 [size=\"109144747\", alpha=\"0.04\", expect_size=\"32743424\"] \n  9 [size=\"139574613\", alpha=\"0.03\", expect_size=\"41872384\"] \n  10 [size=\"79732053\", alpha=\"0.01\", expect_size=\"23919616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97896960\", alpha=\"0.14\", expect_size=\"39158784\"] \n  1 -> 2 [size =\"39158784\"]\n  2 [size=\"66104320\", alpha=\"0.18\", expect_size=\"26441728\"] \n  2 -> 3 [size =\"26441728\"]\n  3 [size=\"81825280\", alpha=\"0.05\", expect_size=\"32730112\"] \n  3 -> 4 [size =\"32730112\"]\n  4 [size=\"102602240\", alpha=\"0.15\", expect_size=\"41040896\"] \n  4 -> 5 [size =\"41040896\"]\n  5 [size=\"96122880\", alpha=\"0.15\", expect_size=\"38449152\"] \n  5 -> 6 [size =\"38449152\"]\n  6 [size=\"59530240\", alpha=\"0.11\", expect_size=\"23812096\"] \n  6 -> 7 [size =\"23812096\"]\n  7 [size=\"35456000\", alpha=\"0.09\", expect_size=\"14182400\"] \n  7 -> 8 [size =\"14182400\"]\n  8 [size=\"53440000\", alpha=\"0.09\", expect_size=\"21376000\"] \n  8 -> 9 [size =\"21376000\"]\n  9 [size=\"60679680\", alpha=\"0.08\", expect_size=\"24271872\"] \n  9 -> 10 [size =\"24271872\"]\n  10 [size=\"15508480\", alpha=\"0.02\", expect_size=\"6203392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40058880\", alpha=\"0.10\", expect_size=\"16023552\"] \n  1 -> 2 [size =\"16023552\"]\n  2 [size=\"18027520\", alpha=\"0.16\", expect_size=\"7211008\"] \n  2 -> 3 [size =\"7211008\"]\n  3 [size=\"64117760\", alpha=\"0.02\", expect_size=\"25647104\"] \n  3 -> 4 [size =\"25647104\"]\n  4 [size=\"20933120\", alpha=\"0.07\", expect_size=\"8373248\"] \n  4 -> 5 [size =\"8373248\"]\n  5 [size=\"23746560\", alpha=\"0.04\", expect_size=\"9498624\"] \n  5 -> 6 [size =\"9498624\"]\n  6 [size=\"51939840\", alpha=\"0.08\", expect_size=\"20775936\"] \n  6 -> 7 [size =\"20775936\"]\n  7 [size=\"54049280\", alpha=\"0.13\", expect_size=\"21619712\"] \n  7 -> 8 [size =\"21619712\"]\n  8 [size=\"96965120\", alpha=\"0.05\", expect_size=\"38786048\"] \n  8 -> 9 [size =\"38786048\"]\n  9 [size=\"119992320\", alpha=\"0.13\", expect_size=\"47996928\"] \n  9 -> 10 [size =\"47996928\"]\n  10 [size=\"41136640\", alpha=\"0.18\", expect_size=\"16454656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56275627\", alpha=\"0.06\", expect_size=\"16882688\"] \n  1 -> 2 [size =\"16882688\"]\n  2 [size=\"118882987\", alpha=\"0.14\", expect_size=\"35664896\"] \n  2 -> 3 [size =\"35664896\"]\n  3 [size=\"142588587\", alpha=\"0.20\", expect_size=\"42776576\"] \n  3 -> 4 [size =\"42776576\"]\n  4 [size=\"157518507\", alpha=\"0.09\", expect_size=\"47255552\"] \n  4 -> 5 [size =\"47255552\"]\n  5 [size=\"95627947\", alpha=\"0.03\", expect_size=\"28688384\"] \n  5 -> 6 [size =\"28688384\"]\n  6 [size=\"141704533\", alpha=\"0.16\", expect_size=\"42511360\"] \n  6 -> 7 [size =\"42511360\"]\n  7 [size=\"101683200\", alpha=\"0.08\", expect_size=\"30504960\"] \n  7 -> 8 [size =\"30504960\"]\n  8 [size=\"114595840\", alpha=\"0.12\", expect_size=\"34378752\"] \n  8 -> 9 [size =\"34378752\"]\n  9 [size=\"89012907\", alpha=\"0.19\", expect_size=\"26703872\"] \n  9 -> 10 [size =\"26703872\"]\n  10 [size=\"97815893\", alpha=\"0.06\", expect_size=\"29344768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102645760\", alpha=\"0.16\", expect_size=\"51322880\"] \n  1 -> 4 [size =\"51322880\"]\n  1 -> 5 [size =\"51322880\"]\n  2 [size=\"83783680\", alpha=\"0.10\", expect_size=\"41891840\"] \n  2 -> 4 [size =\"41891840\"]\n  3 [size=\"37890048\", alpha=\"0.13\", expect_size=\"18945024\"] \n  3 -> 4 [size =\"18945024\"]\n  4 [size=\"65990656\", alpha=\"0.04\", expect_size=\"32995328\"] \n  4 -> 6 [size =\"32995328\"]\n  4 -> 7 [size =\"32995328\"]\n  4 -> 8 [size =\"32995328\"]\n  4 -> 10 [size =\"32995328\"]\n  5 [size=\"69605376\", alpha=\"0.19\", expect_size=\"34802688\"] \n  5 -> 7 [size =\"34802688\"]\n  5 -> 8 [size =\"34802688\"]\n  5 -> 9 [size =\"34802688\"]\n  5 -> 10 [size =\"34802688\"]\n  6 [size=\"45705216\", alpha=\"0.04\", expect_size=\"22852608\"] \n  7 [size=\"16953344\", alpha=\"0.14\", expect_size=\"8476672\"] \n  8 [size=\"21248000\", alpha=\"0.20\", expect_size=\"10624000\"] \n  9 [size=\"28846080\", alpha=\"0.03\", expect_size=\"14423040\"] \n  10 [size=\"20914176\", alpha=\"0.04\", expect_size=\"10457088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62784853\", alpha=\"0.18\", expect_size=\"18835456\"] \n  1 -> 2 [size =\"18835456\"]\n  2 [size=\"73434453\", alpha=\"0.01\", expect_size=\"22030336\"] \n  2 -> 3 [size =\"22030336\"]\n  3 [size=\"21602987\", alpha=\"0.05\", expect_size=\"6480896\"] \n  3 -> 4 [size =\"6480896\"]\n  4 [size=\"102806187\", alpha=\"0.04\", expect_size=\"30841856\"] \n  4 -> 5 [size =\"30841856\"]\n  5 [size=\"145390933\", alpha=\"0.01\", expect_size=\"43617280\"] \n  5 -> 6 [size =\"43617280\"]\n  6 [size=\"129522347\", alpha=\"0.12\", expect_size=\"38856704\"] \n  6 -> 7 [size =\"38856704\"]\n  7 [size=\"82094080\", alpha=\"0.07\", expect_size=\"24628224\"] \n  7 -> 8 [size =\"24628224\"]\n  8 [size=\"163143680\", alpha=\"0.05\", expect_size=\"48943104\"] \n  8 -> 9 [size =\"48943104\"]\n  9 [size=\"102929067\", alpha=\"0.20\", expect_size=\"30878720\"] \n  9 -> 10 [size =\"30878720\"]\n  10 [size=\"24142507\", alpha=\"0.02\", expect_size=\"7242752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145233920\", alpha=\"0.04\", expect_size=\"43570176\"] \n  1 -> 2 [size =\"43570176\"]\n  2 [size=\"169314987\", alpha=\"0.09\", expect_size=\"50794496\"] \n  2 -> 3 [size =\"50794496\"]\n  3 [size=\"79834453\", alpha=\"0.03\", expect_size=\"23950336\"] \n  3 -> 4 [size =\"23950336\"]\n  4 [size=\"154999467\", alpha=\"0.16\", expect_size=\"46499840\"] \n  4 -> 5 [size =\"46499840\"]\n  5 [size=\"53411840\", alpha=\"0.11\", expect_size=\"16023552\"] \n  5 -> 6 [size =\"16023552\"]\n  6 [size=\"124798293\", alpha=\"0.10\", expect_size=\"37439488\"] \n  6 -> 7 [size =\"37439488\"]\n  7 [size=\"34686293\", alpha=\"0.02\", expect_size=\"10405888\"] \n  7 -> 8 [size =\"10405888\"]\n  8 [size=\"71601493\", alpha=\"0.02\", expect_size=\"21480448\"] \n  8 -> 9 [size =\"21480448\"]\n  9 [size=\"112609280\", alpha=\"0.06\", expect_size=\"33782784\"] \n  9 -> 10 [size =\"33782784\"]\n  10 [size=\"148046507\", alpha=\"0.11\", expect_size=\"44413952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159303680\", alpha=\"0.03\", expect_size=\"47791104\"] \n  1 -> 7 [size =\"47791104\"]\n  1 -> 9 [size =\"47791104\"]\n  2 [size=\"87975253\", alpha=\"0.07\", expect_size=\"26392576\"] \n  2 -> 7 [size =\"26392576\"]\n  3 [size=\"144073387\", alpha=\"0.12\", expect_size=\"43222016\"] \n  4 [size=\"96706560\", alpha=\"0.03\", expect_size=\"29011968\"] \n  4 -> 8 [size =\"29011968\"]\n  5 [size=\"158010027\", alpha=\"0.11\", expect_size=\"47403008\"] \n  5 -> 9 [size =\"47403008\"]\n  6 [size=\"24350720\", alpha=\"0.13\", expect_size=\"7305216\"] \n  6 -> 7 [size =\"7305216\"]\n  7 [size=\"160191147\", alpha=\"0.09\", expect_size=\"48057344\"] \n  8 [size=\"18674347\", alpha=\"0.05\", expect_size=\"5602304\"] \n  9 [size=\"78257493\", alpha=\"0.11\", expect_size=\"23477248\"] \n  9 -> 10 [size =\"23477248\"]\n  10 [size=\"69195093\", alpha=\"0.12\", expect_size=\"20758528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40317440\", alpha=\"0.18\", expect_size=\"16126976\"] \n  1 -> 10 [size =\"16126976\"]\n  2 [size=\"20684800\", alpha=\"0.03\", expect_size=\"8273920\"] \n  2 -> 10 [size =\"8273920\"]\n  3 [size=\"65871360\", alpha=\"0.07\", expect_size=\"26348544\"] \n  3 -> 7 [size =\"26348544\"]\n  4 [size=\"122634240\", alpha=\"0.13\", expect_size=\"49053696\"] \n  5 [size=\"26288640\", alpha=\"0.02\", expect_size=\"10515456\"] \n  5 -> 8 [size =\"10515456\"]\n  5 -> 9 [size =\"10515456\"]\n  5 -> 10 [size =\"10515456\"]\n  6 [size=\"19107840\", alpha=\"0.10\", expect_size=\"7643136\"] \n  6 -> 8 [size =\"7643136\"]\n  6 -> 9 [size =\"7643136\"]\n  7 [size=\"45276160\", alpha=\"0.11\", expect_size=\"18110464\"] \n  8 [size=\"32074240\", alpha=\"0.02\", expect_size=\"12829696\"] \n  9 [size=\"34460160\", alpha=\"0.19\", expect_size=\"13784064\"] \n  10 [size=\"91220480\", alpha=\"0.03\", expect_size=\"36488192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116218880\", alpha=\"0.02\", expect_size=\"46487552\"] \n  1 -> 2 [size =\"46487552\"]\n  2 [size=\"105382400\", alpha=\"0.05\", expect_size=\"42152960\"] \n  2 -> 3 [size =\"42152960\"]\n  3 [size=\"71354880\", alpha=\"0.16\", expect_size=\"28541952\"] \n  3 -> 4 [size =\"28541952\"]\n  4 [size=\"54963200\", alpha=\"0.13\", expect_size=\"21985280\"] \n  4 -> 5 [size =\"21985280\"]\n  5 [size=\"125977600\", alpha=\"0.09\", expect_size=\"50391040\"] \n  5 -> 6 [size =\"50391040\"]\n  6 [size=\"80576000\", alpha=\"0.04\", expect_size=\"32230400\"] \n  6 -> 7 [size =\"32230400\"]\n  7 [size=\"93442560\", alpha=\"0.06\", expect_size=\"37377024\"] \n  7 -> 8 [size =\"37377024\"]\n  8 [size=\"80212480\", alpha=\"0.03\", expect_size=\"32084992\"] \n  8 -> 9 [size =\"32084992\"]\n  9 [size=\"101987840\", alpha=\"0.03\", expect_size=\"40795136\"] \n  9 -> 10 [size =\"40795136\"]\n  10 [size=\"30627840\", alpha=\"0.14\", expect_size=\"12251136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68631893\", alpha=\"0.09\", expect_size=\"20589568\"] \n  1 -> 5 [size =\"20589568\"]\n  2 [size=\"35986773\", alpha=\"0.14\", expect_size=\"10796032\"] \n  2 -> 4 [size =\"10796032\"]\n  3 [size=\"67314347\", alpha=\"0.02\", expect_size=\"20194304\"] \n  3 -> 4 [size =\"20194304\"]\n  4 [size=\"82950827\", alpha=\"0.02\", expect_size=\"24885248\"] \n  4 -> 7 [size =\"24885248\"]\n  4 -> 8 [size =\"24885248\"]\n  4 -> 9 [size =\"24885248\"]\n  5 [size=\"42151253\", alpha=\"0.02\", expect_size=\"12645376\"] \n  5 -> 6 [size =\"12645376\"]\n  5 -> 8 [size =\"12645376\"]\n  5 -> 10 [size =\"12645376\"]\n  6 [size=\"50500267\", alpha=\"0.12\", expect_size=\"15150080\"] \n  7 [size=\"134065493\", alpha=\"0.13\", expect_size=\"40219648\"] \n  8 [size=\"79697920\", alpha=\"0.01\", expect_size=\"23909376\"] \n  9 [size=\"28811947\", alpha=\"0.19\", expect_size=\"8643584\"] \n  10 [size=\"23804587\", alpha=\"0.20\", expect_size=\"7141376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96849920\", alpha=\"0.17\", expect_size=\"48424960\"] \n  1 -> 2 [size =\"48424960\"]\n  2 [size=\"27639808\", alpha=\"0.16\", expect_size=\"13819904\"] \n  2 -> 3 [size =\"13819904\"]\n  3 [size=\"71229440\", alpha=\"0.13\", expect_size=\"35614720\"] \n  3 -> 4 [size =\"35614720\"]\n  4 [size=\"54671360\", alpha=\"0.08\", expect_size=\"27335680\"] \n  4 -> 5 [size =\"27335680\"]\n  5 [size=\"24967168\", alpha=\"0.16\", expect_size=\"12483584\"] \n  5 -> 6 [size =\"12483584\"]\n  6 [size=\"71186432\", alpha=\"0.06\", expect_size=\"35593216\"] \n  6 -> 7 [size =\"35593216\"]\n  7 [size=\"41521152\", alpha=\"0.18\", expect_size=\"20760576\"] \n  7 -> 8 [size =\"20760576\"]\n  8 [size=\"99483648\", alpha=\"0.15\", expect_size=\"49741824\"] \n  8 -> 9 [size =\"49741824\"]\n  9 [size=\"74680320\", alpha=\"0.18\", expect_size=\"37340160\"] \n  9 -> 10 [size =\"37340160\"]\n  10 [size=\"41302016\", alpha=\"0.14\", expect_size=\"20651008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89821867\", alpha=\"0.18\", expect_size=\"26946560\"] \n  1 -> 6 [size =\"26946560\"]\n  1 -> 7 [size =\"26946560\"]\n  1 -> 8 [size =\"26946560\"]\n  1 -> 9 [size =\"26946560\"]\n  2 [size=\"148497067\", alpha=\"0.16\", expect_size=\"44549120\"] \n  2 -> 6 [size =\"44549120\"]\n  2 -> 7 [size =\"44549120\"]\n  2 -> 8 [size =\"44549120\"]\n  2 -> 9 [size =\"44549120\"]\n  3 [size=\"92654933\", alpha=\"0.08\", expect_size=\"27796480\"] \n  3 -> 7 [size =\"27796480\"]\n  3 -> 8 [size =\"27796480\"]\n  4 [size=\"50322773\", alpha=\"0.11\", expect_size=\"15096832\"] \n  4 -> 7 [size =\"15096832\"]\n  4 -> 8 [size =\"15096832\"]\n  5 [size=\"106164907\", alpha=\"0.13\", expect_size=\"31849472\"] \n  5 -> 7 [size =\"31849472\"]\n  6 [size=\"30286507\", alpha=\"0.04\", expect_size=\"9085952\"] \n  6 -> 10 [size =\"9085952\"]\n  7 [size=\"148264960\", alpha=\"0.18\", expect_size=\"44479488\"] \n  7 -> 10 [size =\"44479488\"]\n  8 [size=\"148439040\", alpha=\"0.19\", expect_size=\"44531712\"] \n  8 -> 10 [size =\"44531712\"]\n  9 [size=\"86070613\", alpha=\"0.11\", expect_size=\"25821184\"] \n  9 -> 10 [size =\"25821184\"]\n  10 [size=\"133789013\", alpha=\"0.18\", expect_size=\"40136704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41342293\", alpha=\"0.07\", expect_size=\"12402688\"] \n  1 -> 9 [size =\"12402688\"]\n  2 [size=\"148135253\", alpha=\"0.20\", expect_size=\"44440576\"] \n  3 [size=\"157631147\", alpha=\"0.08\", expect_size=\"47289344\"] \n  4 [size=\"131280213\", alpha=\"0.02\", expect_size=\"39384064\"] \n  5 [size=\"24477013\", alpha=\"0.01\", expect_size=\"7343104\"] \n  5 -> 8 [size =\"7343104\"]\n  5 -> 10 [size =\"7343104\"]\n  6 [size=\"122067627\", alpha=\"0.16\", expect_size=\"36620288\"] \n  6 -> 9 [size =\"36620288\"]\n  7 [size=\"72779093\", alpha=\"0.13\", expect_size=\"21833728\"] \n  8 [size=\"37898240\", alpha=\"0.19\", expect_size=\"11369472\"] \n  9 [size=\"73994240\", alpha=\"0.04\", expect_size=\"22198272\"] \n  10 [size=\"44724907\", alpha=\"0.15\", expect_size=\"13417472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64706560\", alpha=\"0.06\", expect_size=\"25882624\"] \n  1 -> 2 [size =\"25882624\"]\n  2 [size=\"34544640\", alpha=\"0.08\", expect_size=\"13817856\"] \n  2 -> 3 [size =\"13817856\"]\n  3 [size=\"122731520\", alpha=\"0.17\", expect_size=\"49092608\"] \n  3 -> 4 [size =\"49092608\"]\n  4 [size=\"87319040\", alpha=\"0.01\", expect_size=\"34927616\"] \n  4 -> 5 [size =\"34927616\"]\n  5 [size=\"19622400\", alpha=\"0.05\", expect_size=\"7848960\"] \n  5 -> 6 [size =\"7848960\"]\n  6 [size=\"57689600\", alpha=\"0.04\", expect_size=\"23075840\"] \n  6 -> 7 [size =\"23075840\"]\n  7 [size=\"117803520\", alpha=\"0.04\", expect_size=\"47121408\"] \n  7 -> 8 [size =\"47121408\"]\n  8 [size=\"88125440\", alpha=\"0.09\", expect_size=\"35250176\"] \n  8 -> 9 [size =\"35250176\"]\n  9 [size=\"116175360\", alpha=\"0.14\", expect_size=\"46470144\"] \n  9 -> 10 [size =\"46470144\"]\n  10 [size=\"30543360\", alpha=\"0.04\", expect_size=\"12217344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56197120\", alpha=\"0.12\", expect_size=\"22478848\"] \n  1 -> 8 [size =\"22478848\"]\n  1 -> 9 [size =\"22478848\"]\n  1 -> 10 [size =\"22478848\"]\n  2 [size=\"38732800\", alpha=\"0.13\", expect_size=\"15493120\"] \n  2 -> 9 [size =\"15493120\"]\n  2 -> 10 [size =\"15493120\"]\n  3 [size=\"85844480\", alpha=\"0.19\", expect_size=\"34337792\"] \n  4 [size=\"116328960\", alpha=\"0.16\", expect_size=\"46531584\"] \n  4 -> 8 [size =\"46531584\"]\n  4 -> 10 [size =\"46531584\"]\n  5 [size=\"73879040\", alpha=\"0.06\", expect_size=\"29551616\"] \n  5 -> 8 [size =\"29551616\"]\n  5 -> 9 [size =\"29551616\"]\n  6 [size=\"98831360\", alpha=\"0.09\", expect_size=\"39532544\"] \n  6 -> 10 [size =\"39532544\"]\n  7 [size=\"30343680\", alpha=\"0.20\", expect_size=\"12137472\"] \n  7 -> 8 [size =\"12137472\"]\n  8 [size=\"27248640\", alpha=\"0.17\", expect_size=\"10899456\"] \n  9 [size=\"96217600\", alpha=\"0.02\", expect_size=\"38487040\"] \n  10 [size=\"64473600\", alpha=\"0.01\", expect_size=\"25789440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92914347\", alpha=\"0.08\", expect_size=\"27874304\"] \n  1 -> 2 [size =\"27874304\"]\n  2 [size=\"79472640\", alpha=\"0.05\", expect_size=\"23841792\"] \n  2 -> 3 [size =\"23841792\"]\n  3 [size=\"43011413\", alpha=\"0.13\", expect_size=\"12903424\"] \n  3 -> 4 [size =\"12903424\"]\n  4 [size=\"62262613\", alpha=\"0.15\", expect_size=\"18678784\"] \n  4 -> 5 [size =\"18678784\"]\n  5 [size=\"76745387\", alpha=\"0.14\", expect_size=\"23023616\"] \n  5 -> 6 [size =\"23023616\"]\n  6 [size=\"65928533\", alpha=\"0.00\", expect_size=\"19778560\"] \n  6 -> 7 [size =\"19778560\"]\n  7 [size=\"139168427\", alpha=\"0.14\", expect_size=\"41750528\"] \n  7 -> 8 [size =\"41750528\"]\n  8 [size=\"89736533\", alpha=\"0.13\", expect_size=\"26920960\"] \n  8 -> 9 [size =\"26920960\"]\n  9 [size=\"171977387\", alpha=\"0.06\", expect_size=\"51593216\"] \n  9 -> 10 [size =\"51593216\"]\n  10 [size=\"49913173\", alpha=\"0.11\", expect_size=\"14973952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95791787\", alpha=\"0.14\", expect_size=\"28737536\"] \n  1 -> 2 [size =\"28737536\"]\n  2 [size=\"174271147\", alpha=\"0.13\", expect_size=\"52281344\"] \n  2 -> 3 [size =\"52281344\"]\n  3 [size=\"21326507\", alpha=\"0.10\", expect_size=\"6397952\"] \n  3 -> 4 [size =\"6397952\"]\n  4 [size=\"112943787\", alpha=\"0.18\", expect_size=\"33883136\"] \n  4 -> 5 [size =\"33883136\"]\n  5 [size=\"140247040\", alpha=\"0.03\", expect_size=\"42074112\"] \n  5 -> 6 [size =\"42074112\"]\n  6 [size=\"59026773\", alpha=\"0.18\", expect_size=\"17708032\"] \n  6 -> 7 [size =\"17708032\"]\n  7 [size=\"89115307\", alpha=\"0.08\", expect_size=\"26734592\"] \n  7 -> 8 [size =\"26734592\"]\n  8 [size=\"152251733\", alpha=\"0.10\", expect_size=\"45675520\"] \n  8 -> 9 [size =\"45675520\"]\n  9 [size=\"99048107\", alpha=\"0.12\", expect_size=\"29714432\"] \n  9 -> 10 [size =\"29714432\"]\n  10 [size=\"168925867\", alpha=\"0.08\", expect_size=\"50677760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39147520\", alpha=\"0.01\", expect_size=\"19573760\"] \n  1 -> 4 [size =\"19573760\"]\n  1 -> 7 [size =\"19573760\"]\n  1 -> 8 [size =\"19573760\"]\n  1 -> 9 [size =\"19573760\"]\n  2 [size=\"26392576\", alpha=\"0.09\", expect_size=\"13196288\"] \n  2 -> 4 [size =\"13196288\"]\n  2 -> 6 [size =\"13196288\"]\n  2 -> 7 [size =\"13196288\"]\n  2 -> 8 [size =\"13196288\"]\n  3 [size=\"57520128\", alpha=\"0.17\", expect_size=\"28760064\"] \n  3 -> 5 [size =\"28760064\"]\n  3 -> 6 [size =\"28760064\"]\n  4 [size=\"60522496\", alpha=\"0.19\", expect_size=\"30261248\"] \n  5 [size=\"18669568\", alpha=\"0.16\", expect_size=\"9334784\"] \n  6 [size=\"49145856\", alpha=\"0.12\", expect_size=\"24572928\"] \n  6 -> 10 [size =\"24572928\"]\n  7 [size=\"104337408\", alpha=\"0.07\", expect_size=\"52168704\"] \n  8 [size=\"67379200\", alpha=\"0.19\", expect_size=\"33689600\"] \n  9 [size=\"86016000\", alpha=\"0.16\", expect_size=\"43008000\"] \n  10 [size=\"24963072\", alpha=\"0.12\", expect_size=\"12481536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99301376\", alpha=\"0.10\", expect_size=\"49650688\"] \n  1 -> 5 [size =\"49650688\"]\n  1 -> 7 [size =\"49650688\"]\n  2 [size=\"47028224\", alpha=\"0.11\", expect_size=\"23514112\"] \n  2 -> 6 [size =\"23514112\"]\n  3 [size=\"25931776\", alpha=\"0.03\", expect_size=\"12965888\"] \n  3 -> 5 [size =\"12965888\"]\n  3 -> 7 [size =\"12965888\"]\n  3 -> 9 [size =\"12965888\"]\n  4 [size=\"41435136\", alpha=\"0.09\", expect_size=\"20717568\"] \n  4 -> 7 [size =\"20717568\"]\n  4 -> 8 [size =\"20717568\"]\n  5 [size=\"57688064\", alpha=\"0.17\", expect_size=\"28844032\"] \n  5 -> 10 [size =\"28844032\"]\n  6 [size=\"84969472\", alpha=\"0.04\", expect_size=\"42484736\"] \n  6 -> 10 [size =\"42484736\"]\n  7 [size=\"66625536\", alpha=\"0.02\", expect_size=\"33312768\"] \n  7 -> 10 [size =\"33312768\"]\n  8 [size=\"62627840\", alpha=\"0.17\", expect_size=\"31313920\"] \n  9 [size=\"74663936\", alpha=\"0.19\", expect_size=\"37331968\"] \n  10 [size=\"45602816\", alpha=\"0.11\", expect_size=\"22801408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85329920\", alpha=\"0.02\", expect_size=\"25598976\"] \n  1 -> 4 [size =\"25598976\"]\n  1 -> 5 [size =\"25598976\"]\n  1 -> 6 [size =\"25598976\"]\n  2 [size=\"114005333\", alpha=\"0.07\", expect_size=\"34201600\"] \n  2 -> 5 [size =\"34201600\"]\n  2 -> 6 [size =\"34201600\"]\n  3 [size=\"25719467\", alpha=\"0.13\", expect_size=\"7715840\"] \n  3 -> 6 [size =\"7715840\"]\n  4 [size=\"144066560\", alpha=\"0.18\", expect_size=\"43219968\"] \n  4 -> 8 [size =\"43219968\"]\n  4 -> 9 [size =\"43219968\"]\n  5 [size=\"113585493\", alpha=\"0.13\", expect_size=\"34075648\"] \n  5 -> 7 [size =\"34075648\"]\n  5 -> 9 [size =\"34075648\"]\n  6 [size=\"107840853\", alpha=\"0.04\", expect_size=\"32352256\"] \n  6 -> 7 [size =\"32352256\"]\n  7 [size=\"95085227\", alpha=\"0.10\", expect_size=\"28525568\"] \n  7 -> 10 [size =\"28525568\"]\n  8 [size=\"38768640\", alpha=\"0.11\", expect_size=\"11630592\"] \n  9 [size=\"96942080\", alpha=\"0.02\", expect_size=\"29082624\"] \n  10 [size=\"26255360\", alpha=\"0.20\", expect_size=\"7876608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17532928\", alpha=\"0.09\", expect_size=\"8766464\"] \n  1 -> 2 [size =\"8766464\"]\n  2 [size=\"49426432\", alpha=\"0.17\", expect_size=\"24713216\"] \n  2 -> 3 [size =\"24713216\"]\n  3 [size=\"55748608\", alpha=\"0.01\", expect_size=\"27874304\"] \n  3 -> 4 [size =\"27874304\"]\n  4 [size=\"95887360\", alpha=\"0.16\", expect_size=\"47943680\"] \n  4 -> 5 [size =\"47943680\"]\n  5 [size=\"96122880\", alpha=\"0.09\", expect_size=\"48061440\"] \n  5 -> 6 [size =\"48061440\"]\n  6 [size=\"67516416\", alpha=\"0.19\", expect_size=\"33758208\"] \n  6 -> 7 [size =\"33758208\"]\n  7 [size=\"29628416\", alpha=\"0.17\", expect_size=\"14814208\"] \n  7 -> 8 [size =\"14814208\"]\n  8 [size=\"55099392\", alpha=\"0.17\", expect_size=\"27549696\"] \n  8 -> 9 [size =\"27549696\"]\n  9 [size=\"76263424\", alpha=\"0.04\", expect_size=\"38131712\"] \n  9 -> 10 [size =\"38131712\"]\n  10 [size=\"13436928\", alpha=\"0.09\", expect_size=\"6718464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85777067\", alpha=\"0.04\", expect_size=\"25733120\"] \n  1 -> 2 [size =\"25733120\"]\n  2 [size=\"62429867\", alpha=\"0.14\", expect_size=\"18728960\"] \n  2 -> 3 [size =\"18728960\"]\n  3 [size=\"18711893\", alpha=\"0.11\", expect_size=\"5613568\"] \n  3 -> 4 [size =\"5613568\"]\n  4 [size=\"142291627\", alpha=\"0.10\", expect_size=\"42687488\"] \n  4 -> 5 [size =\"42687488\"]\n  5 [size=\"27183787\", alpha=\"0.05\", expect_size=\"8155136\"] \n  5 -> 6 [size =\"8155136\"]\n  6 [size=\"112752640\", alpha=\"0.04\", expect_size=\"33825792\"] \n  6 -> 7 [size =\"33825792\"]\n  7 [size=\"20548267\", alpha=\"0.03\", expect_size=\"6164480\"] \n  7 -> 8 [size =\"6164480\"]\n  8 [size=\"151582720\", alpha=\"0.12\", expect_size=\"45474816\"] \n  8 -> 9 [size =\"45474816\"]\n  9 [size=\"132720640\", alpha=\"0.14\", expect_size=\"39816192\"] \n  9 -> 10 [size =\"39816192\"]\n  10 [size=\"33904640\", alpha=\"0.13\", expect_size=\"10171392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92615680\", alpha=\"0.11\", expect_size=\"37046272\"] \n  1 -> 4 [size =\"37046272\"]\n  1 -> 5 [size =\"37046272\"]\n  2 [size=\"107635200\", alpha=\"0.04\", expect_size=\"43054080\"] \n  2 -> 3 [size =\"43054080\"]\n  3 [size=\"24783360\", alpha=\"0.05\", expect_size=\"9913344\"] \n  4 [size=\"74685440\", alpha=\"0.15\", expect_size=\"29874176\"] \n  4 -> 6 [size =\"29874176\"]\n  4 -> 8 [size =\"29874176\"]\n  5 [size=\"113280000\", alpha=\"0.09\", expect_size=\"45312000\"] \n  5 -> 7 [size =\"45312000\"]\n  5 -> 8 [size =\"45312000\"]\n  6 [size=\"99873280\", alpha=\"0.09\", expect_size=\"39949312\"] \n  7 [size=\"109911040\", alpha=\"0.19\", expect_size=\"43964416\"] \n  7 -> 9 [size =\"43964416\"]\n  7 -> 10 [size =\"43964416\"]\n  8 [size=\"21506560\", alpha=\"0.07\", expect_size=\"8602624\"] \n  8 -> 9 [size =\"8602624\"]\n  8 -> 10 [size =\"8602624\"]\n  9 [size=\"59950080\", alpha=\"0.12\", expect_size=\"23980032\"] \n  10 [size=\"117486080\", alpha=\"0.04\", expect_size=\"46994432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115087360\", alpha=\"0.01\", expect_size=\"34526208\"] \n  1 -> 2 [size =\"34526208\"]\n  2 [size=\"37741227\", alpha=\"0.14\", expect_size=\"11322368\"] \n  2 -> 3 [size =\"11322368\"]\n  3 [size=\"51520853\", alpha=\"0.17\", expect_size=\"15456256\"] \n  3 -> 4 [size =\"15456256\"]\n  4 [size=\"27566080\", alpha=\"0.01\", expect_size=\"8269824\"] \n  4 -> 5 [size =\"8269824\"]\n  5 [size=\"132645547\", alpha=\"0.08\", expect_size=\"39793664\"] \n  5 -> 6 [size =\"39793664\"]\n  6 [size=\"23302827\", alpha=\"0.15\", expect_size=\"6990848\"] \n  6 -> 7 [size =\"6990848\"]\n  7 [size=\"110397440\", alpha=\"0.07\", expect_size=\"33119232\"] \n  7 -> 8 [size =\"33119232\"]\n  8 [size=\"64170667\", alpha=\"0.11\", expect_size=\"19251200\"] \n  8 -> 9 [size =\"19251200\"]\n  9 [size=\"65423360\", alpha=\"0.06\", expect_size=\"19627008\"] \n  9 -> 10 [size =\"19627008\"]\n  10 [size=\"109837653\", alpha=\"0.16\", expect_size=\"32951296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70930432\", alpha=\"0.17\", expect_size=\"35465216\"] \n  1 -> 2 [size =\"35465216\"]\n  2 [size=\"32509952\", alpha=\"0.12\", expect_size=\"16254976\"] \n  2 -> 3 [size =\"16254976\"]\n  3 [size=\"65277952\", alpha=\"0.05\", expect_size=\"32638976\"] \n  3 -> 4 [size =\"32638976\"]\n  4 [size=\"94353408\", alpha=\"0.13\", expect_size=\"47176704\"] \n  4 -> 5 [size =\"47176704\"]\n  5 [size=\"70750208\", alpha=\"0.07\", expect_size=\"35375104\"] \n  5 -> 6 [size =\"35375104\"]\n  6 [size=\"57309184\", alpha=\"0.03\", expect_size=\"28654592\"] \n  6 -> 7 [size =\"28654592\"]\n  7 [size=\"83722240\", alpha=\"0.11\", expect_size=\"41861120\"] \n  7 -> 8 [size =\"41861120\"]\n  8 [size=\"29210624\", alpha=\"0.18\", expect_size=\"14605312\"] \n  8 -> 9 [size =\"14605312\"]\n  9 [size=\"43137024\", alpha=\"0.01\", expect_size=\"21568512\"] \n  9 -> 10 [size =\"21568512\"]\n  10 [size=\"90669056\", alpha=\"0.14\", expect_size=\"45334528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28986880\", alpha=\"0.11\", expect_size=\"11594752\"] \n  1 -> 3 [size =\"11594752\"]\n  1 -> 4 [size =\"11594752\"]\n  2 [size=\"39976960\", alpha=\"0.03\", expect_size=\"15990784\"] \n  2 -> 3 [size =\"15990784\"]\n  2 -> 4 [size =\"15990784\"]\n  3 [size=\"85644800\", alpha=\"0.17\", expect_size=\"34257920\"] \n  3 -> 5 [size =\"34257920\"]\n  3 -> 6 [size =\"34257920\"]\n  3 -> 7 [size =\"34257920\"]\n  4 [size=\"113367040\", alpha=\"0.19\", expect_size=\"45346816\"] \n  4 -> 6 [size =\"45346816\"]\n  5 [size=\"14942720\", alpha=\"0.14\", expect_size=\"5977088\"] \n  5 -> 8 [size =\"5977088\"]\n  6 [size=\"24655360\", alpha=\"0.11\", expect_size=\"9862144\"] \n  6 -> 8 [size =\"9862144\"]\n  7 [size=\"77757440\", alpha=\"0.19\", expect_size=\"31102976\"] \n  7 -> 8 [size =\"31102976\"]\n  7 -> 9 [size =\"31102976\"]\n  8 [size=\"120102400\", alpha=\"0.09\", expect_size=\"48040960\"] \n  8 -> 10 [size =\"48040960\"]\n  9 [size=\"98158080\", alpha=\"0.12\", expect_size=\"39263232\"] \n  9 -> 10 [size =\"39263232\"]\n  10 [size=\"109227520\", alpha=\"0.18\", expect_size=\"43691008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23883776\", alpha=\"0.19\", expect_size=\"11941888\"] \n  1 -> 3 [size =\"11941888\"]\n  1 -> 4 [size =\"11941888\"]\n  2 [size=\"25247744\", alpha=\"0.17\", expect_size=\"12623872\"] \n  2 -> 4 [size =\"12623872\"]\n  2 -> 5 [size =\"12623872\"]\n  3 [size=\"26400768\", alpha=\"0.09\", expect_size=\"13200384\"] \n  3 -> 7 [size =\"13200384\"]\n  3 -> 8 [size =\"13200384\"]\n  4 [size=\"50972672\", alpha=\"0.09\", expect_size=\"25486336\"] \n  4 -> 6 [size =\"25486336\"]\n  4 -> 8 [size =\"25486336\"]\n  5 [size=\"85377024\", alpha=\"0.10\", expect_size=\"42688512\"] \n  5 -> 6 [size =\"42688512\"]\n  6 [size=\"12406784\", alpha=\"0.17\", expect_size=\"6203392\"] \n  6 -> 10 [size =\"6203392\"]\n  7 [size=\"51212288\", alpha=\"0.15\", expect_size=\"25606144\"] \n  7 -> 9 [size =\"25606144\"]\n  8 [size=\"47486976\", alpha=\"0.08\", expect_size=\"23743488\"] \n  8 -> 9 [size =\"23743488\"]\n  9 [size=\"21936128\", alpha=\"0.10\", expect_size=\"10968064\"] \n  10 [size=\"55132160\", alpha=\"0.01\", expect_size=\"27566080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28040533\", alpha=\"0.10\", expect_size=\"8412160\"] \n  1 -> 4 [size =\"8412160\"]\n  1 -> 6 [size =\"8412160\"]\n  1 -> 7 [size =\"8412160\"]\n  1 -> 8 [size =\"8412160\"]\n  2 [size=\"44021760\", alpha=\"0.19\", expect_size=\"13206528\"] \n  2 -> 4 [size =\"13206528\"]\n  2 -> 5 [size =\"13206528\"]\n  2 -> 6 [size =\"13206528\"]\n  2 -> 7 [size =\"13206528\"]\n  2 -> 8 [size =\"13206528\"]\n  3 [size=\"21377707\", alpha=\"0.05\", expect_size=\"6413312\"] \n  3 -> 4 [size =\"6413312\"]\n  3 -> 5 [size =\"6413312\"]\n  3 -> 6 [size =\"6413312\"]\n  3 -> 7 [size =\"6413312\"]\n  3 -> 8 [size =\"6413312\"]\n  4 [size=\"57849173\", alpha=\"0.06\", expect_size=\"17354752\"] \n  4 -> 10 [size =\"17354752\"]\n  5 [size=\"74704213\", alpha=\"0.11\", expect_size=\"22411264\"] \n  5 -> 9 [size =\"22411264\"]\n  6 [size=\"157921280\", alpha=\"0.18\", expect_size=\"47376384\"] \n  6 -> 9 [size =\"47376384\"]\n  7 [size=\"171257173\", alpha=\"0.11\", expect_size=\"51377152\"] \n  7 -> 9 [size =\"51377152\"]\n  7 -> 10 [size =\"51377152\"]\n  8 [size=\"134584320\", alpha=\"0.05\", expect_size=\"40375296\"] \n  8 -> 10 [size =\"40375296\"]\n  9 [size=\"69427200\", alpha=\"0.19\", expect_size=\"20828160\"] \n  10 [size=\"57562453\", alpha=\"0.14\", expect_size=\"17268736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29997056\", alpha=\"0.01\", expect_size=\"14998528\"] \n  1 -> 2 [size =\"14998528\"]\n  2 [size=\"70555648\", alpha=\"0.06\", expect_size=\"35277824\"] \n  2 -> 3 [size =\"35277824\"]\n  3 [size=\"12437504\", alpha=\"0.15\", expect_size=\"6218752\"] \n  3 -> 4 [size =\"6218752\"]\n  4 [size=\"73592832\", alpha=\"0.02\", expect_size=\"36796416\"] \n  4 -> 5 [size =\"36796416\"]\n  5 [size=\"33529856\", alpha=\"0.14\", expect_size=\"16764928\"] \n  5 -> 6 [size =\"16764928\"]\n  6 [size=\"87035904\", alpha=\"0.14\", expect_size=\"43517952\"] \n  6 -> 7 [size =\"43517952\"]\n  7 [size=\"104271872\", alpha=\"0.09\", expect_size=\"52135936\"] \n  7 -> 8 [size =\"52135936\"]\n  8 [size=\"36864000\", alpha=\"0.14\", expect_size=\"18432000\"] \n  8 -> 9 [size =\"18432000\"]\n  9 [size=\"103315456\", alpha=\"0.03\", expect_size=\"51657728\"] \n  9 -> 10 [size =\"51657728\"]\n  10 [size=\"45451264\", alpha=\"0.14\", expect_size=\"22725632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33675264\", alpha=\"0.02\", expect_size=\"16837632\"] \n  1 -> 3 [size =\"16837632\"]\n  1 -> 4 [size =\"16837632\"]\n  2 [size=\"97910784\", alpha=\"0.07\", expect_size=\"48955392\"] \n  2 -> 3 [size =\"48955392\"]\n  3 [size=\"31780864\", alpha=\"0.07\", expect_size=\"15890432\"] \n  3 -> 5 [size =\"15890432\"]\n  4 [size=\"80359424\", alpha=\"0.04\", expect_size=\"40179712\"] \n  4 -> 6 [size =\"40179712\"]\n  4 -> 7 [size =\"40179712\"]\n  5 [size=\"46796800\", alpha=\"0.13\", expect_size=\"23398400\"] \n  5 -> 10 [size =\"23398400\"]\n  6 [size=\"57104384\", alpha=\"0.04\", expect_size=\"28552192\"] \n  6 -> 8 [size =\"28552192\"]\n  7 [size=\"24866816\", alpha=\"0.03\", expect_size=\"12433408\"] \n  7 -> 8 [size =\"12433408\"]\n  7 -> 9 [size =\"12433408\"]\n  8 [size=\"36298752\", alpha=\"0.02\", expect_size=\"18149376\"] \n  9 [size=\"75048960\", alpha=\"0.14\", expect_size=\"37524480\"] \n  10 [size=\"75454464\", alpha=\"0.11\", expect_size=\"37727232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99389440\", alpha=\"0.12\", expect_size=\"49694720\"] \n  1 -> 7 [size =\"49694720\"]\n  1 -> 8 [size =\"49694720\"]\n  1 -> 9 [size =\"49694720\"]\n  1 -> 10 [size =\"49694720\"]\n  2 [size=\"89661440\", alpha=\"0.10\", expect_size=\"44830720\"] \n  2 -> 8 [size =\"44830720\"]\n  2 -> 8 [size =\"44830720\"]\n  2 -> 9 [size =\"44830720\"]\n  2 -> 10 [size =\"44830720\"]\n  3 [size=\"36724736\", alpha=\"0.05\", expect_size=\"18362368\"] \n  3 -> 7 [size =\"18362368\"]\n  3 -> 8 [size =\"18362368\"]\n  3 -> 9 [size =\"18362368\"]\n  4 [size=\"32026624\", alpha=\"0.07\", expect_size=\"16013312\"] \n  4 -> 7 [size =\"16013312\"]\n  4 -> 8 [size =\"16013312\"]\n  4 -> 9 [size =\"16013312\"]\n  5 [size=\"82126848\", alpha=\"0.05\", expect_size=\"41063424\"] \n  5 -> 7 [size =\"41063424\"]\n  5 -> 9 [size =\"41063424\"]\n  6 [size=\"71815168\", alpha=\"0.06\", expect_size=\"35907584\"] \n  6 -> 7 [size =\"35907584\"]\n  6 -> 8 [size =\"35907584\"]\n  6 -> 9 [size =\"35907584\"]\n  7 [size=\"87042048\", alpha=\"0.11\", expect_size=\"43521024\"] \n  8 [size=\"80936960\", alpha=\"0.04\", expect_size=\"40468480\"] \n  9 [size=\"103806976\", alpha=\"0.17\", expect_size=\"51903488\"] \n  10 [size=\"89729024\", alpha=\"0.02\", expect_size=\"44864512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140281173\", alpha=\"0.02\", expect_size=\"42084352\"] \n  1 -> 3 [size =\"42084352\"]\n  1 -> 4 [size =\"42084352\"]\n  1 -> 5 [size =\"42084352\"]\n  2 [size=\"78670507\", alpha=\"0.05\", expect_size=\"23601152\"] \n  2 -> 3 [size =\"23601152\"]\n  2 -> 4 [size =\"23601152\"]\n  2 -> 5 [size =\"23601152\"]\n  3 [size=\"25654613\", alpha=\"0.09\", expect_size=\"7696384\"] \n  3 -> 7 [size =\"7696384\"]\n  3 -> 8 [size =\"7696384\"]\n  4 [size=\"55569067\", alpha=\"0.12\", expect_size=\"16670720\"] \n  4 -> 7 [size =\"16670720\"]\n  4 -> 8 [size =\"16670720\"]\n  5 [size=\"45499733\", alpha=\"0.13\", expect_size=\"13649920\"] \n  5 -> 6 [size =\"13649920\"]\n  5 -> 7 [size =\"13649920\"]\n  5 -> 8 [size =\"13649920\"]\n  6 [size=\"167792640\", alpha=\"0.19\", expect_size=\"50337792\"] \n  7 [size=\"94313813\", alpha=\"0.04\", expect_size=\"28294144\"] \n  7 -> 9 [size =\"28294144\"]\n  8 [size=\"160337920\", alpha=\"0.01\", expect_size=\"48101376\"] \n  8 -> 9 [size =\"48101376\"]\n  9 [size=\"169666560\", alpha=\"0.10\", expect_size=\"50899968\"] \n  9 -> 10 [size =\"50899968\"]\n  10 [size=\"98327893\", alpha=\"0.12\", expect_size=\"29498368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52662272\", alpha=\"0.09\", expect_size=\"26331136\"] \n  1 -> 2 [size =\"26331136\"]\n  2 [size=\"93679616\", alpha=\"0.02\", expect_size=\"46839808\"] \n  2 -> 3 [size =\"46839808\"]\n  3 [size=\"44591104\", alpha=\"0.08\", expect_size=\"22295552\"] \n  3 -> 4 [size =\"22295552\"]\n  4 [size=\"67606528\", alpha=\"0.02\", expect_size=\"33803264\"] \n  4 -> 5 [size =\"33803264\"]\n  5 [size=\"100384768\", alpha=\"0.14\", expect_size=\"50192384\"] \n  5 -> 6 [size =\"50192384\"]\n  6 [size=\"14845952\", alpha=\"0.02\", expect_size=\"7422976\"] \n  6 -> 7 [size =\"7422976\"]\n  7 [size=\"74878976\", alpha=\"0.07\", expect_size=\"37439488\"] \n  7 -> 8 [size =\"37439488\"]\n  8 [size=\"79110144\", alpha=\"0.09\", expect_size=\"39555072\"] \n  8 -> 9 [size =\"39555072\"]\n  9 [size=\"33277952\", alpha=\"0.19\", expect_size=\"16638976\"] \n  9 -> 10 [size =\"16638976\"]\n  10 [size=\"41457664\", alpha=\"0.20\", expect_size=\"20728832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98337280\", alpha=\"0.14\", expect_size=\"39334912\"] \n  2 [size=\"72130560\", alpha=\"0.06\", expect_size=\"28852224\"] \n  2 -> 3 [size =\"28852224\"]\n  2 -> 4 [size =\"28852224\"]\n  3 [size=\"116495360\", alpha=\"0.11\", expect_size=\"46598144\"] \n  3 -> 5 [size =\"46598144\"]\n  3 -> 6 [size =\"46598144\"]\n  4 [size=\"98805760\", alpha=\"0.20\", expect_size=\"39522304\"] \n  5 [size=\"96670720\", alpha=\"0.19\", expect_size=\"38668288\"] \n  5 -> 8 [size =\"38668288\"]\n  6 [size=\"84221440\", alpha=\"0.07\", expect_size=\"33688576\"] \n  6 -> 7 [size =\"33688576\"]\n  6 -> 8 [size =\"33688576\"]\n  7 [size=\"40734720\", alpha=\"0.03\", expect_size=\"16293888\"] \n  7 -> 10 [size =\"16293888\"]\n  8 [size=\"52336640\", alpha=\"0.15\", expect_size=\"20934656\"] \n  8 -> 9 [size =\"20934656\"]\n  9 [size=\"84072960\", alpha=\"0.18\", expect_size=\"33629184\"] \n  10 [size=\"128256000\", alpha=\"0.03\", expect_size=\"51302400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87263232\", alpha=\"0.19\", expect_size=\"43631616\"] \n  1 -> 2 [size =\"43631616\"]\n  2 [size=\"77418496\", alpha=\"0.17\", expect_size=\"38709248\"] \n  2 -> 3 [size =\"38709248\"]\n  3 [size=\"59777024\", alpha=\"0.08\", expect_size=\"29888512\"] \n  3 -> 4 [size =\"29888512\"]\n  4 [size=\"53315584\", alpha=\"0.09\", expect_size=\"26657792\"] \n  4 -> 5 [size =\"26657792\"]\n  5 [size=\"103081984\", alpha=\"0.05\", expect_size=\"51540992\"] \n  5 -> 6 [size =\"51540992\"]\n  6 [size=\"66246656\", alpha=\"0.07\", expect_size=\"33123328\"] \n  6 -> 7 [size =\"33123328\"]\n  7 [size=\"12414976\", alpha=\"0.05\", expect_size=\"6207488\"] \n  7 -> 8 [size =\"6207488\"]\n  8 [size=\"34062336\", alpha=\"0.06\", expect_size=\"17031168\"] \n  8 -> 9 [size =\"17031168\"]\n  9 [size=\"102680576\", alpha=\"0.14\", expect_size=\"51340288\"] \n  9 -> 10 [size =\"51340288\"]\n  10 [size=\"89487360\", alpha=\"0.13\", expect_size=\"44743680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148701867\", alpha=\"0.05\", expect_size=\"44610560\"] \n  1 -> 2 [size =\"44610560\"]\n  2 [size=\"66993493\", alpha=\"0.05\", expect_size=\"20098048\"] \n  2 -> 3 [size =\"20098048\"]\n  3 [size=\"78462293\", alpha=\"0.16\", expect_size=\"23538688\"] \n  3 -> 4 [size =\"23538688\"]\n  4 [size=\"140151467\", alpha=\"0.01\", expect_size=\"42045440\"] \n  4 -> 5 [size =\"42045440\"]\n  5 [size=\"78725120\", alpha=\"0.04\", expect_size=\"23617536\"] \n  5 -> 6 [size =\"23617536\"]\n  6 [size=\"25692160\", alpha=\"0.15\", expect_size=\"7707648\"] \n  6 -> 7 [size =\"7707648\"]\n  7 [size=\"128901120\", alpha=\"0.20\", expect_size=\"38670336\"] \n  7 -> 8 [size =\"38670336\"]\n  8 [size=\"41796267\", alpha=\"0.03\", expect_size=\"12538880\"] \n  8 -> 9 [size =\"12538880\"]\n  9 [size=\"99573760\", alpha=\"0.10\", expect_size=\"29872128\"] \n  9 -> 10 [size =\"29872128\"]\n  10 [size=\"112513707\", alpha=\"0.10\", expect_size=\"33754112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72482133\", alpha=\"0.11\", expect_size=\"21744640\"] \n  1 -> 2 [size =\"21744640\"]\n  2 [size=\"82667520\", alpha=\"0.13\", expect_size=\"24800256\"] \n  2 -> 3 [size =\"24800256\"]\n  3 [size=\"134922240\", alpha=\"0.13\", expect_size=\"40476672\"] \n  3 -> 4 [size =\"40476672\"]\n  4 [size=\"33041067\", alpha=\"0.13\", expect_size=\"9912320\"] \n  4 -> 5 [size =\"9912320\"]\n  5 [size=\"141721600\", alpha=\"0.03\", expect_size=\"42516480\"] \n  5 -> 6 [size =\"42516480\"]\n  6 [size=\"18302293\", alpha=\"0.03\", expect_size=\"5490688\"] \n  6 -> 7 [size =\"5490688\"]\n  7 [size=\"78387200\", alpha=\"0.14\", expect_size=\"23516160\"] \n  7 -> 8 [size =\"23516160\"]\n  8 [size=\"103888213\", alpha=\"0.20\", expect_size=\"31166464\"] \n  8 -> 9 [size =\"31166464\"]\n  9 [size=\"104919040\", alpha=\"0.05\", expect_size=\"31475712\"] \n  9 -> 10 [size =\"31475712\"]\n  10 [size=\"152579413\", alpha=\"0.18\", expect_size=\"45773824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82132992\", alpha=\"0.01\", expect_size=\"41066496\"] \n  1 -> 3 [size =\"41066496\"]\n  1 -> 5 [size =\"41066496\"]\n  2 [size=\"91191296\", alpha=\"0.13\", expect_size=\"45595648\"] \n  2 -> 3 [size =\"45595648\"]\n  2 -> 4 [size =\"45595648\"]\n  2 -> 5 [size =\"45595648\"]\n  3 [size=\"45547520\", alpha=\"0.08\", expect_size=\"22773760\"] \n  3 -> 6 [size =\"22773760\"]\n  4 [size=\"12505088\", alpha=\"0.02\", expect_size=\"6252544\"] \n  5 [size=\"21233664\", alpha=\"0.11\", expect_size=\"10616832\"] \n  5 -> 7 [size =\"10616832\"]\n  6 [size=\"50821120\", alpha=\"0.05\", expect_size=\"25410560\"] \n  6 -> 8 [size =\"25410560\"]\n  6 -> 9 [size =\"25410560\"]\n  6 -> 10 [size =\"25410560\"]\n  7 [size=\"29480960\", alpha=\"0.02\", expect_size=\"14740480\"] \n  7 -> 8 [size =\"14740480\"]\n  7 -> 9 [size =\"14740480\"]\n  7 -> 10 [size =\"14740480\"]\n  8 [size=\"54908928\", alpha=\"0.01\", expect_size=\"27454464\"] \n  9 [size=\"65277952\", alpha=\"0.19\", expect_size=\"32638976\"] \n  10 [size=\"101197824\", alpha=\"0.07\", expect_size=\"50598912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129423360\", alpha=\"0.13\", expect_size=\"51769344\"] \n  1 -> 7 [size =\"51769344\"]\n  1 -> 8 [size =\"51769344\"]\n  2 [size=\"90536960\", alpha=\"0.09\", expect_size=\"36214784\"] \n  2 -> 6 [size =\"36214784\"]\n  2 -> 7 [size =\"36214784\"]\n  2 -> 8 [size =\"36214784\"]\n  2 -> 9 [size =\"36214784\"]\n  3 [size=\"115322880\", alpha=\"0.08\", expect_size=\"46129152\"] \n  3 -> 9 [size =\"46129152\"]\n  3 -> 10 [size =\"46129152\"]\n  4 [size=\"32463360\", alpha=\"0.03\", expect_size=\"12985344\"] \n  4 -> 6 [size =\"12985344\"]\n  4 -> 9 [size =\"12985344\"]\n  4 -> 10 [size =\"12985344\"]\n  5 [size=\"88852480\", alpha=\"0.20\", expect_size=\"35540992\"] \n  5 -> 6 [size =\"35540992\"]\n  5 -> 10 [size =\"35540992\"]\n  6 [size=\"27809280\", alpha=\"0.05\", expect_size=\"11123712\"] \n  7 [size=\"120407040\", alpha=\"0.02\", expect_size=\"48162816\"] \n  8 [size=\"51911680\", alpha=\"0.09\", expect_size=\"20764672\"] \n  9 [size=\"31293440\", alpha=\"0.05\", expect_size=\"12517376\"] \n  10 [size=\"21358080\", alpha=\"0.17\", expect_size=\"8543232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57399296\", alpha=\"0.09\", expect_size=\"28699648\"] \n  1 -> 5 [size =\"28699648\"]\n  2 [size=\"61208576\", alpha=\"0.19\", expect_size=\"30604288\"] \n  2 -> 5 [size =\"30604288\"]\n  3 [size=\"49373184\", alpha=\"0.10\", expect_size=\"24686592\"] \n  3 -> 4 [size =\"24686592\"]\n  3 -> 5 [size =\"24686592\"]\n  3 -> 6 [size =\"24686592\"]\n  4 [size=\"79536128\", alpha=\"0.19\", expect_size=\"39768064\"] \n  4 -> 8 [size =\"39768064\"]\n  4 -> 9 [size =\"39768064\"]\n  5 [size=\"90150912\", alpha=\"0.17\", expect_size=\"45075456\"] \n  5 -> 8 [size =\"45075456\"]\n  6 [size=\"17975296\", alpha=\"0.20\", expect_size=\"8987648\"] \n  6 -> 7 [size =\"8987648\"]\n  6 -> 9 [size =\"8987648\"]\n  7 [size=\"59369472\", alpha=\"0.11\", expect_size=\"29684736\"] \n  7 -> 10 [size =\"29684736\"]\n  8 [size=\"94887936\", alpha=\"0.17\", expect_size=\"47443968\"] \n  9 [size=\"53723136\", alpha=\"0.19\", expect_size=\"26861568\"] \n  10 [size=\"36278272\", alpha=\"0.10\", expect_size=\"18139136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102144000\", alpha=\"0.03\", expect_size=\"30643200\"] \n  1 -> 2 [size =\"30643200\"]\n  2 [size=\"109772800\", alpha=\"0.09\", expect_size=\"32931840\"] \n  2 -> 3 [size =\"32931840\"]\n  2 -> 4 [size =\"32931840\"]\n  3 [size=\"144834560\", alpha=\"0.07\", expect_size=\"43450368\"] \n  3 -> 6 [size =\"43450368\"]\n  4 [size=\"34184533\", alpha=\"0.04\", expect_size=\"10255360\"] \n  4 -> 5 [size =\"10255360\"]\n  4 -> 6 [size =\"10255360\"]\n  4 -> 7 [size =\"10255360\"]\n  5 [size=\"45632853\", alpha=\"0.08\", expect_size=\"13689856\"] \n  5 -> 9 [size =\"13689856\"]\n  6 [size=\"126938453\", alpha=\"0.08\", expect_size=\"38081536\"] \n  7 [size=\"144855040\", alpha=\"0.17\", expect_size=\"43456512\"] \n  7 -> 8 [size =\"43456512\"]\n  7 -> 10 [size =\"43456512\"]\n  8 [size=\"94405973\", alpha=\"0.13\", expect_size=\"28321792\"] \n  9 [size=\"146544640\", alpha=\"0.13\", expect_size=\"43963392\"] \n  10 [size=\"157890560\", alpha=\"0.05\", expect_size=\"47367168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165942613\", alpha=\"0.12\", expect_size=\"49782784\"] \n  1 -> 2 [size =\"49782784\"]\n  2 [size=\"164037973\", alpha=\"0.05\", expect_size=\"49211392\"] \n  2 -> 3 [size =\"49211392\"]\n  3 [size=\"27306667\", alpha=\"0.12\", expect_size=\"8192000\"] \n  3 -> 4 [size =\"8192000\"]\n  4 [size=\"51657387\", alpha=\"0.14\", expect_size=\"15497216\"] \n  4 -> 5 [size =\"15497216\"]\n  5 [size=\"146176000\", alpha=\"0.09\", expect_size=\"43852800\"] \n  5 -> 6 [size =\"43852800\"]\n  6 [size=\"143097173\", alpha=\"0.12\", expect_size=\"42929152\"] \n  6 -> 7 [size =\"42929152\"]\n  7 [size=\"66706773\", alpha=\"0.07\", expect_size=\"20012032\"] \n  7 -> 8 [size =\"20012032\"]\n  8 [size=\"26702507\", alpha=\"0.13\", expect_size=\"8010752\"] \n  8 -> 9 [size =\"8010752\"]\n  9 [size=\"59296427\", alpha=\"0.03\", expect_size=\"17788928\"] \n  9 -> 10 [size =\"17788928\"]\n  10 [size=\"124190720\", alpha=\"0.17\", expect_size=\"37257216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119959040\", alpha=\"0.12\", expect_size=\"47983616\"] \n  2 [size=\"62801920\", alpha=\"0.16\", expect_size=\"25120768\"] \n  3 [size=\"49482240\", alpha=\"0.19\", expect_size=\"19792896\"] \n  3 -> 9 [size =\"19792896\"]\n  4 [size=\"125975040\", alpha=\"0.01\", expect_size=\"50390016\"] \n  4 -> 9 [size =\"50390016\"]\n  5 [size=\"80583680\", alpha=\"0.09\", expect_size=\"32233472\"] \n  5 -> 9 [size =\"32233472\"]\n  6 [size=\"99842560\", alpha=\"0.11\", expect_size=\"39937024\"] \n  7 [size=\"129223680\", alpha=\"0.05\", expect_size=\"51689472\"] \n  7 -> 10 [size =\"51689472\"]\n  8 [size=\"47664640\", alpha=\"0.05\", expect_size=\"19065856\"] \n  9 [size=\"51609600\", alpha=\"0.00\", expect_size=\"20643840\"] \n  10 [size=\"80775680\", alpha=\"0.19\", expect_size=\"32310272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26017280\", alpha=\"0.06\", expect_size=\"10406912\"] \n  1 -> 4 [size =\"10406912\"]\n  2 [size=\"16519680\", alpha=\"0.06\", expect_size=\"6607872\"] \n  2 -> 3 [size =\"6607872\"]\n  2 -> 5 [size =\"6607872\"]\n  3 [size=\"127575040\", alpha=\"0.06\", expect_size=\"51030016\"] \n  3 -> 6 [size =\"51030016\"]\n  3 -> 8 [size =\"51030016\"]\n  4 [size=\"70988800\", alpha=\"0.11\", expect_size=\"28395520\"] \n  4 -> 6 [size =\"28395520\"]\n  5 [size=\"99397120\", alpha=\"0.06\", expect_size=\"39758848\"] \n  5 -> 7 [size =\"39758848\"]\n  5 -> 8 [size =\"39758848\"]\n  6 [size=\"64714240\", alpha=\"0.15\", expect_size=\"25885696\"] \n  7 [size=\"115591680\", alpha=\"0.04\", expect_size=\"46236672\"] \n  7 -> 9 [size =\"46236672\"]\n  7 -> 10 [size =\"46236672\"]\n  8 [size=\"15214080\", alpha=\"0.00\", expect_size=\"6085632\"] \n  9 [size=\"117324800\", alpha=\"0.02\", expect_size=\"46929920\"] \n  10 [size=\"30653440\", alpha=\"0.16\", expect_size=\"12261376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129492480\", alpha=\"0.14\", expect_size=\"51796992\"] \n  1 -> 2 [size =\"51796992\"]\n  2 [size=\"30149120\", alpha=\"0.12\", expect_size=\"12059648\"] \n  2 -> 3 [size =\"12059648\"]\n  3 [size=\"47956480\", alpha=\"0.08\", expect_size=\"19182592\"] \n  3 -> 4 [size =\"19182592\"]\n  4 [size=\"116003840\", alpha=\"0.08\", expect_size=\"46401536\"] \n  4 -> 5 [size =\"46401536\"]\n  5 [size=\"29437440\", alpha=\"0.07\", expect_size=\"11774976\"] \n  5 -> 6 [size =\"11774976\"]\n  6 [size=\"98795520\", alpha=\"0.18\", expect_size=\"39518208\"] \n  6 -> 7 [size =\"39518208\"]\n  7 [size=\"95147520\", alpha=\"0.17\", expect_size=\"38059008\"] \n  7 -> 8 [size =\"38059008\"]\n  8 [size=\"116538880\", alpha=\"0.17\", expect_size=\"46615552\"] \n  8 -> 9 [size =\"46615552\"]\n  9 [size=\"56412160\", alpha=\"0.15\", expect_size=\"22564864\"] \n  9 -> 10 [size =\"22564864\"]\n  10 [size=\"98869760\", alpha=\"0.13\", expect_size=\"39547904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174731947\", alpha=\"0.10\", expect_size=\"52419584\"] \n  1 -> 2 [size =\"52419584\"]\n  2 [size=\"55439360\", alpha=\"0.10\", expect_size=\"16631808\"] \n  2 -> 3 [size =\"16631808\"]\n  3 [size=\"119859200\", alpha=\"0.15\", expect_size=\"35957760\"] \n  3 -> 4 [size =\"35957760\"]\n  4 [size=\"46899200\", alpha=\"0.10\", expect_size=\"14069760\"] \n  4 -> 5 [size =\"14069760\"]\n  5 [size=\"101434027\", alpha=\"0.06\", expect_size=\"30430208\"] \n  5 -> 6 [size =\"30430208\"]\n  6 [size=\"44704427\", alpha=\"0.15\", expect_size=\"13411328\"] \n  6 -> 7 [size =\"13411328\"]\n  7 [size=\"75154773\", alpha=\"0.11\", expect_size=\"22546432\"] \n  7 -> 8 [size =\"22546432\"]\n  8 [size=\"137410560\", alpha=\"0.14\", expect_size=\"41223168\"] \n  8 -> 9 [size =\"41223168\"]\n  9 [size=\"78868480\", alpha=\"0.10\", expect_size=\"23660544\"] \n  9 -> 10 [size =\"23660544\"]\n  10 [size=\"91248640\", alpha=\"0.00\", expect_size=\"27374592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74142720\", alpha=\"0.16\", expect_size=\"29657088\"] \n  1 -> 2 [size =\"29657088\"]\n  2 [size=\"112570880\", alpha=\"0.09\", expect_size=\"45028352\"] \n  2 -> 3 [size =\"45028352\"]\n  3 [size=\"14517760\", alpha=\"0.13\", expect_size=\"5807104\"] \n  3 -> 4 [size =\"5807104\"]\n  4 [size=\"73036800\", alpha=\"0.02\", expect_size=\"29214720\"] \n  4 -> 5 [size =\"29214720\"]\n  5 [size=\"64552960\", alpha=\"0.05\", expect_size=\"25821184\"] \n  5 -> 6 [size =\"25821184\"]\n  6 [size=\"87162880\", alpha=\"0.03\", expect_size=\"34865152\"] \n  6 -> 7 [size =\"34865152\"]\n  7 [size=\"77647360\", alpha=\"0.06\", expect_size=\"31058944\"] \n  7 -> 8 [size =\"31058944\"]\n  8 [size=\"31846400\", alpha=\"0.00\", expect_size=\"12738560\"] \n  8 -> 9 [size =\"12738560\"]\n  9 [size=\"122342400\", alpha=\"0.15\", expect_size=\"48936960\"] \n  9 -> 10 [size =\"48936960\"]\n  10 [size=\"98734080\", alpha=\"0.08\", expect_size=\"39493632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21606400\", alpha=\"0.11\", expect_size=\"8642560\"] \n  1 -> 4 [size =\"8642560\"]\n  1 -> 5 [size =\"8642560\"]\n  2 [size=\"91673600\", alpha=\"0.13\", expect_size=\"36669440\"] \n  2 -> 3 [size =\"36669440\"]\n  3 [size=\"77096960\", alpha=\"0.12\", expect_size=\"30838784\"] \n  3 -> 6 [size =\"30838784\"]\n  3 -> 7 [size =\"30838784\"]\n  4 [size=\"66667520\", alpha=\"0.07\", expect_size=\"26667008\"] \n  4 -> 6 [size =\"26667008\"]\n  5 [size=\"117378560\", alpha=\"0.01\", expect_size=\"46951424\"] \n  6 [size=\"53475840\", alpha=\"0.05\", expect_size=\"21390336\"] \n  6 -> 9 [size =\"21390336\"]\n  6 -> 10 [size =\"21390336\"]\n  7 [size=\"54904320\", alpha=\"0.15\", expect_size=\"21961728\"] \n  7 -> 8 [size =\"21961728\"]\n  8 [size=\"84057600\", alpha=\"0.11\", expect_size=\"33623040\"] \n  9 [size=\"101603840\", alpha=\"0.11\", expect_size=\"40641536\"] \n  10 [size=\"22801920\", alpha=\"0.18\", expect_size=\"9120768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19898880\", alpha=\"0.08\", expect_size=\"7959552\"] \n  1 -> 2 [size =\"7959552\"]\n  2 [size=\"19351040\", alpha=\"0.16\", expect_size=\"7740416\"] \n  2 -> 3 [size =\"7740416\"]\n  3 [size=\"41587200\", alpha=\"0.08\", expect_size=\"16634880\"] \n  3 -> 4 [size =\"16634880\"]\n  4 [size=\"90828800\", alpha=\"0.07\", expect_size=\"36331520\"] \n  4 -> 5 [size =\"36331520\"]\n  5 [size=\"42746880\", alpha=\"0.04\", expect_size=\"17098752\"] \n  5 -> 6 [size =\"17098752\"]\n  6 [size=\"18923520\", alpha=\"0.09\", expect_size=\"7569408\"] \n  6 -> 7 [size =\"7569408\"]\n  7 [size=\"121858560\", alpha=\"0.05\", expect_size=\"48743424\"] \n  7 -> 8 [size =\"48743424\"]\n  8 [size=\"127224320\", alpha=\"0.04\", expect_size=\"50889728\"] \n  8 -> 9 [size =\"50889728\"]\n  9 [size=\"14888960\", alpha=\"0.16\", expect_size=\"5955584\"] \n  9 -> 10 [size =\"5955584\"]\n  10 [size=\"102661120\", alpha=\"0.04\", expect_size=\"41064448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21542400\", alpha=\"0.07\", expect_size=\"8616960\"] \n  1 -> 3 [size =\"8616960\"]\n  2 [size=\"69107200\", alpha=\"0.02\", expect_size=\"27642880\"] \n  2 -> 4 [size =\"27642880\"]\n  2 -> 5 [size =\"27642880\"]\n  3 [size=\"60311040\", alpha=\"0.03\", expect_size=\"24124416\"] \n  3 -> 6 [size =\"24124416\"]\n  4 [size=\"127769600\", alpha=\"0.02\", expect_size=\"51107840\"] \n  5 [size=\"120148480\", alpha=\"0.10\", expect_size=\"48059392\"] \n  6 [size=\"54842880\", alpha=\"0.03\", expect_size=\"21937152\"] \n  6 -> 7 [size =\"21937152\"]\n  6 -> 8 [size =\"21937152\"]\n  6 -> 9 [size =\"21937152\"]\n  7 [size=\"101314560\", alpha=\"0.00\", expect_size=\"40525824\"] \n  7 -> 10 [size =\"40525824\"]\n  8 [size=\"53829120\", alpha=\"0.02\", expect_size=\"21531648\"] \n  9 [size=\"112386560\", alpha=\"0.08\", expect_size=\"44954624\"] \n  10 [size=\"74752000\", alpha=\"0.02\", expect_size=\"29900800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66547712\", alpha=\"0.00\", expect_size=\"33273856\"] \n  1 -> 2 [size =\"33273856\"]\n  2 [size=\"82034688\", alpha=\"0.12\", expect_size=\"41017344\"] \n  2 -> 3 [size =\"41017344\"]\n  3 [size=\"101599232\", alpha=\"0.04\", expect_size=\"50799616\"] \n  3 -> 4 [size =\"50799616\"]\n  4 [size=\"86288384\", alpha=\"0.01\", expect_size=\"43144192\"] \n  4 -> 5 [size =\"43144192\"]\n  5 [size=\"63225856\", alpha=\"0.12\", expect_size=\"31612928\"] \n  5 -> 6 [size =\"31612928\"]\n  6 [size=\"54091776\", alpha=\"0.05\", expect_size=\"27045888\"] \n  6 -> 7 [size =\"27045888\"]\n  7 [size=\"37535744\", alpha=\"0.15\", expect_size=\"18767872\"] \n  7 -> 8 [size =\"18767872\"]\n  8 [size=\"35448832\", alpha=\"0.17\", expect_size=\"17724416\"] \n  8 -> 9 [size =\"17724416\"]\n  9 [size=\"19116032\", alpha=\"0.18\", expect_size=\"9558016\"] \n  9 -> 10 [size =\"9558016\"]\n  10 [size=\"36749312\", alpha=\"0.19\", expect_size=\"18374656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26475520\", alpha=\"0.06\", expect_size=\"10590208\"] \n  1 -> 2 [size =\"10590208\"]\n  2 [size=\"55859200\", alpha=\"0.11\", expect_size=\"22343680\"] \n  2 -> 3 [size =\"22343680\"]\n  3 [size=\"111001600\", alpha=\"0.12\", expect_size=\"44400640\"] \n  3 -> 4 [size =\"44400640\"]\n  4 [size=\"28290560\", alpha=\"0.13\", expect_size=\"11316224\"] \n  4 -> 5 [size =\"11316224\"]\n  5 [size=\"68203520\", alpha=\"0.01\", expect_size=\"27281408\"] \n  5 -> 6 [size =\"27281408\"]\n  6 [size=\"122129920\", alpha=\"0.12\", expect_size=\"48851968\"] \n  6 -> 7 [size =\"48851968\"]\n  7 [size=\"69299200\", alpha=\"0.19\", expect_size=\"27719680\"] \n  7 -> 8 [size =\"27719680\"]\n  8 [size=\"33425920\", alpha=\"0.14\", expect_size=\"13370368\"] \n  8 -> 9 [size =\"13370368\"]\n  9 [size=\"88711680\", alpha=\"0.03\", expect_size=\"35484672\"] \n  9 -> 10 [size =\"35484672\"]\n  10 [size=\"19182080\", alpha=\"0.07\", expect_size=\"7672832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59763200\", alpha=\"0.12\", expect_size=\"23905280\"] \n  2 [size=\"108275200\", alpha=\"0.13\", expect_size=\"43310080\"] \n  2 -> 3 [size =\"43310080\"]\n  3 [size=\"115816960\", alpha=\"0.19\", expect_size=\"46326784\"] \n  3 -> 4 [size =\"46326784\"]\n  3 -> 5 [size =\"46326784\"]\n  4 [size=\"62750720\", alpha=\"0.14\", expect_size=\"25100288\"] \n  4 -> 6 [size =\"25100288\"]\n  5 [size=\"130155520\", alpha=\"0.19\", expect_size=\"52062208\"] \n  5 -> 7 [size =\"52062208\"]\n  5 -> 8 [size =\"52062208\"]\n  6 [size=\"105971200\", alpha=\"0.08\", expect_size=\"42388480\"] \n  6 -> 10 [size =\"42388480\"]\n  7 [size=\"68986880\", alpha=\"0.08\", expect_size=\"27594752\"] \n  7 -> 9 [size =\"27594752\"]\n  8 [size=\"25244160\", alpha=\"0.13\", expect_size=\"10097664\"] \n  8 -> 10 [size =\"10097664\"]\n  9 [size=\"39470080\", alpha=\"0.02\", expect_size=\"15788032\"] \n  10 [size=\"58222080\", alpha=\"0.14\", expect_size=\"23288832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34252800\", alpha=\"0.17\", expect_size=\"17126400\"] \n  1 -> 8 [size =\"17126400\"]\n  2 [size=\"91443200\", alpha=\"0.08\", expect_size=\"45721600\"] \n  2 -> 6 [size =\"45721600\"]\n  2 -> 7 [size =\"45721600\"]\n  3 [size=\"26763264\", alpha=\"0.14\", expect_size=\"13381632\"] \n  4 [size=\"97245184\", alpha=\"0.08\", expect_size=\"48622592\"] \n  4 -> 9 [size =\"48622592\"]\n  5 [size=\"46745600\", alpha=\"0.00\", expect_size=\"23372800\"] \n  5 -> 9 [size =\"23372800\"]\n  6 [size=\"44509184\", alpha=\"0.19\", expect_size=\"22254592\"] \n  7 [size=\"46934016\", alpha=\"0.04\", expect_size=\"23467008\"] \n  8 [size=\"57389056\", alpha=\"0.00\", expect_size=\"28694528\"] \n  9 [size=\"49426432\", alpha=\"0.07\", expect_size=\"24713216\"] \n  9 -> 10 [size =\"24713216\"]\n  10 [size=\"52271104\", alpha=\"0.17\", expect_size=\"26135552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70720853\", alpha=\"0.07\", expect_size=\"21216256\"] \n  1 -> 8 [size =\"21216256\"]\n  1 -> 9 [size =\"21216256\"]\n  2 [size=\"150067200\", alpha=\"0.03\", expect_size=\"45020160\"] \n  2 -> 7 [size =\"45020160\"]\n  2 -> 9 [size =\"45020160\"]\n  3 [size=\"92368213\", alpha=\"0.06\", expect_size=\"27710464\"] \n  3 -> 7 [size =\"27710464\"]\n  3 -> 9 [size =\"27710464\"]\n  3 -> 10 [size =\"27710464\"]\n  4 [size=\"107946667\", alpha=\"0.10\", expect_size=\"32384000\"] \n  4 -> 7 [size =\"32384000\"]\n  4 -> 10 [size =\"32384000\"]\n  5 [size=\"34283520\", alpha=\"0.11\", expect_size=\"10285056\"] \n  5 -> 7 [size =\"10285056\"]\n  5 -> 10 [size =\"10285056\"]\n  6 [size=\"109049173\", alpha=\"0.04\", expect_size=\"32714752\"] \n  6 -> 8 [size =\"32714752\"]\n  6 -> 10 [size =\"32714752\"]\n  7 [size=\"112206507\", alpha=\"0.00\", expect_size=\"33661952\"] \n  8 [size=\"42127360\", alpha=\"0.02\", expect_size=\"12638208\"] \n  9 [size=\"131901440\", alpha=\"0.06\", expect_size=\"39570432\"] \n  10 [size=\"122743467\", alpha=\"0.15\", expect_size=\"36823040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129561600\", alpha=\"0.02\", expect_size=\"51824640\"] \n  1 -> 2 [size =\"51824640\"]\n  2 [size=\"23910400\", alpha=\"0.19\", expect_size=\"9564160\"] \n  2 -> 3 [size =\"9564160\"]\n  3 [size=\"23889920\", alpha=\"0.14\", expect_size=\"9555968\"] \n  3 -> 4 [size =\"9555968\"]\n  4 [size=\"102410240\", alpha=\"0.07\", expect_size=\"40964096\"] \n  4 -> 5 [size =\"40964096\"]\n  5 [size=\"44869120\", alpha=\"0.03\", expect_size=\"17947648\"] \n  5 -> 6 [size =\"17947648\"]\n  6 [size=\"127536640\", alpha=\"0.18\", expect_size=\"51014656\"] \n  6 -> 7 [size =\"51014656\"]\n  7 [size=\"79221760\", alpha=\"0.07\", expect_size=\"31688704\"] \n  7 -> 8 [size =\"31688704\"]\n  8 [size=\"17873920\", alpha=\"0.02\", expect_size=\"7149568\"] \n  8 -> 9 [size =\"7149568\"]\n  9 [size=\"52874240\", alpha=\"0.00\", expect_size=\"21149696\"] \n  9 -> 10 [size =\"21149696\"]\n  10 [size=\"56778240\", alpha=\"0.06\", expect_size=\"22711296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65071104\", alpha=\"0.11\", expect_size=\"32535552\"] \n  1 -> 3 [size =\"32535552\"]\n  1 -> 4 [size =\"32535552\"]\n  1 -> 5 [size =\"32535552\"]\n  2 [size=\"89741312\", alpha=\"0.00\", expect_size=\"44870656\"] \n  2 -> 3 [size =\"44870656\"]\n  2 -> 4 [size =\"44870656\"]\n  2 -> 5 [size =\"44870656\"]\n  3 [size=\"31184896\", alpha=\"0.18\", expect_size=\"15592448\"] \n  3 -> 6 [size =\"15592448\"]\n  4 [size=\"85993472\", alpha=\"0.01\", expect_size=\"42996736\"] \n  5 [size=\"33398784\", alpha=\"0.01\", expect_size=\"16699392\"] \n  6 [size=\"56688640\", alpha=\"0.19\", expect_size=\"28344320\"] \n  6 -> 7 [size =\"28344320\"]\n  6 -> 8 [size =\"28344320\"]\n  7 [size=\"100139008\", alpha=\"0.09\", expect_size=\"50069504\"] \n  7 -> 9 [size =\"50069504\"]\n  8 [size=\"38434816\", alpha=\"0.20\", expect_size=\"19217408\"] \n  9 [size=\"73332736\", alpha=\"0.16\", expect_size=\"36666368\"] \n  9 -> 10 [size =\"36666368\"]\n  10 [size=\"79163392\", alpha=\"0.19\", expect_size=\"39581696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36807680\", alpha=\"0.01\", expect_size=\"14723072\"] \n  1 -> 2 [size =\"14723072\"]\n  2 [size=\"47413760\", alpha=\"0.15\", expect_size=\"18965504\"] \n  2 -> 3 [size =\"18965504\"]\n  3 [size=\"48468480\", alpha=\"0.03\", expect_size=\"19387392\"] \n  3 -> 4 [size =\"19387392\"]\n  4 [size=\"124444160\", alpha=\"0.12\", expect_size=\"49777664\"] \n  4 -> 5 [size =\"49777664\"]\n  5 [size=\"85521920\", alpha=\"0.19\", expect_size=\"34208768\"] \n  5 -> 6 [size =\"34208768\"]\n  6 [size=\"106001920\", alpha=\"0.14\", expect_size=\"42400768\"] \n  6 -> 7 [size =\"42400768\"]\n  7 [size=\"101652480\", alpha=\"0.09\", expect_size=\"40660992\"] \n  7 -> 8 [size =\"40660992\"]\n  8 [size=\"109765120\", alpha=\"0.02\", expect_size=\"43906048\"] \n  8 -> 9 [size =\"43906048\"]\n  9 [size=\"55063040\", alpha=\"0.06\", expect_size=\"22025216\"] \n  9 -> 10 [size =\"22025216\"]\n  10 [size=\"32250880\", alpha=\"0.19\", expect_size=\"12900352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47036416\", alpha=\"0.11\", expect_size=\"23518208\"] \n  1 -> 5 [size =\"23518208\"]\n  2 [size=\"55767040\", alpha=\"0.04\", expect_size=\"27883520\"] \n  2 -> 4 [size =\"27883520\"]\n  3 [size=\"78149632\", alpha=\"0.17\", expect_size=\"39074816\"] \n  3 -> 4 [size =\"39074816\"]\n  3 -> 5 [size =\"39074816\"]\n  4 [size=\"47384576\", alpha=\"0.13\", expect_size=\"23692288\"] \n  4 -> 6 [size =\"23692288\"]\n  4 -> 7 [size =\"23692288\"]\n  5 [size=\"72679424\", alpha=\"0.01\", expect_size=\"36339712\"] \n  5 -> 6 [size =\"36339712\"]\n  5 -> 8 [size =\"36339712\"]\n  6 [size=\"35297280\", alpha=\"0.04\", expect_size=\"17648640\"] \n  7 [size=\"59009024\", alpha=\"0.08\", expect_size=\"29504512\"] \n  7 -> 9 [size =\"29504512\"]\n  7 -> 10 [size =\"29504512\"]\n  8 [size=\"80310272\", alpha=\"0.02\", expect_size=\"40155136\"] \n  9 [size=\"50917376\", alpha=\"0.03\", expect_size=\"25458688\"] \n  10 [size=\"30560256\", alpha=\"0.19\", expect_size=\"15280128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99233280\", alpha=\"0.03\", expect_size=\"39693312\"] \n  1 -> 2 [size =\"39693312\"]\n  2 [size=\"129638400\", alpha=\"0.01\", expect_size=\"51855360\"] \n  2 -> 3 [size =\"51855360\"]\n  3 [size=\"14827520\", alpha=\"0.08\", expect_size=\"5931008\"] \n  3 -> 4 [size =\"5931008\"]\n  4 [size=\"81272320\", alpha=\"0.06\", expect_size=\"32508928\"] \n  4 -> 5 [size =\"32508928\"]\n  5 [size=\"61450240\", alpha=\"0.07\", expect_size=\"24580096\"] \n  5 -> 6 [size =\"24580096\"]\n  6 [size=\"94164480\", alpha=\"0.10\", expect_size=\"37665792\"] \n  6 -> 7 [size =\"37665792\"]\n  7 [size=\"83947520\", alpha=\"0.17\", expect_size=\"33579008\"] \n  7 -> 8 [size =\"33579008\"]\n  8 [size=\"24867840\", alpha=\"0.15\", expect_size=\"9947136\"] \n  8 -> 9 [size =\"9947136\"]\n  9 [size=\"120783360\", alpha=\"0.17\", expect_size=\"48313344\"] \n  9 -> 10 [size =\"48313344\"]\n  10 [size=\"90877440\", alpha=\"0.04\", expect_size=\"36350976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56371200\", alpha=\"0.12\", expect_size=\"28185600\"] \n  2 [size=\"14934016\", alpha=\"0.03\", expect_size=\"7467008\"] \n  2 -> 7 [size =\"7467008\"]\n  2 -> 10 [size =\"7467008\"]\n  3 [size=\"55271424\", alpha=\"0.05\", expect_size=\"27635712\"] \n  3 -> 8 [size =\"27635712\"]\n  4 [size=\"40265728\", alpha=\"0.02\", expect_size=\"20132864\"] \n  4 -> 8 [size =\"20132864\"]\n  4 -> 9 [size =\"20132864\"]\n  4 -> 10 [size =\"20132864\"]\n  5 [size=\"88100864\", alpha=\"0.18\", expect_size=\"44050432\"] \n  5 -> 8 [size =\"44050432\"]\n  5 -> 9 [size =\"44050432\"]\n  6 [size=\"73342976\", alpha=\"0.08\", expect_size=\"36671488\"] \n  6 -> 8 [size =\"36671488\"]\n  6 -> 9 [size =\"36671488\"]\n  7 [size=\"25442304\", alpha=\"0.16\", expect_size=\"12721152\"] \n  8 [size=\"98293760\", alpha=\"0.13\", expect_size=\"49146880\"] \n  9 [size=\"22173696\", alpha=\"0.16\", expect_size=\"11086848\"] \n  10 [size=\"104280064\", alpha=\"0.00\", expect_size=\"52140032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82198528\", alpha=\"0.15\", expect_size=\"41099264\"] \n  1 -> 2 [size =\"41099264\"]\n  2 [size=\"27951104\", alpha=\"0.08\", expect_size=\"13975552\"] \n  2 -> 3 [size =\"13975552\"]\n  3 [size=\"79284224\", alpha=\"0.03\", expect_size=\"39642112\"] \n  3 -> 4 [size =\"39642112\"]\n  4 [size=\"77555712\", alpha=\"0.10\", expect_size=\"38777856\"] \n  4 -> 5 [size =\"38777856\"]\n  5 [size=\"76881920\", alpha=\"0.05\", expect_size=\"38440960\"] \n  5 -> 6 [size =\"38440960\"]\n  6 [size=\"18339840\", alpha=\"0.15\", expect_size=\"9169920\"] \n  6 -> 7 [size =\"9169920\"]\n  7 [size=\"52500480\", alpha=\"0.16\", expect_size=\"26250240\"] \n  7 -> 8 [size =\"26250240\"]\n  8 [size=\"92841984\", alpha=\"0.18\", expect_size=\"46420992\"] \n  8 -> 9 [size =\"46420992\"]\n  9 [size=\"53899264\", alpha=\"0.08\", expect_size=\"26949632\"] \n  9 -> 10 [size =\"26949632\"]\n  10 [size=\"24010752\", alpha=\"0.19\", expect_size=\"12005376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43644928\", alpha=\"0.08\", expect_size=\"21822464\"] \n  1 -> 5 [size =\"21822464\"]\n  2 [size=\"88844288\", alpha=\"0.17\", expect_size=\"44422144\"] \n  2 -> 5 [size =\"44422144\"]\n  3 [size=\"37033984\", alpha=\"0.01\", expect_size=\"18516992\"] \n  3 -> 4 [size =\"18516992\"]\n  3 -> 5 [size =\"18516992\"]\n  4 [size=\"85207040\", alpha=\"0.06\", expect_size=\"42603520\"] \n  4 -> 8 [size =\"42603520\"]\n  5 [size=\"19568640\", alpha=\"0.11\", expect_size=\"9784320\"] \n  5 -> 6 [size =\"9784320\"]\n  5 -> 7 [size =\"9784320\"]\n  6 [size=\"14204928\", alpha=\"0.13\", expect_size=\"7102464\"] \n  6 -> 9 [size =\"7102464\"]\n  6 -> 10 [size =\"7102464\"]\n  7 [size=\"68569088\", alpha=\"0.14\", expect_size=\"34284544\"] \n  7 -> 10 [size =\"34284544\"]\n  8 [size=\"15169536\", alpha=\"0.13\", expect_size=\"7584768\"] \n  8 -> 9 [size =\"7584768\"]\n  9 [size=\"70868992\", alpha=\"0.11\", expect_size=\"35434496\"] \n  10 [size=\"37486592\", alpha=\"0.05\", expect_size=\"18743296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64740693\", alpha=\"0.07\", expect_size=\"19422208\"] \n  1 -> 2 [size =\"19422208\"]\n  2 [size=\"79694507\", alpha=\"0.05\", expect_size=\"23908352\"] \n  2 -> 3 [size =\"23908352\"]\n  3 [size=\"89777493\", alpha=\"0.19\", expect_size=\"26933248\"] \n  3 -> 4 [size =\"26933248\"]\n  4 [size=\"153265493\", alpha=\"0.15\", expect_size=\"45979648\"] \n  4 -> 5 [size =\"45979648\"]\n  5 [size=\"99467947\", alpha=\"0.03\", expect_size=\"29840384\"] \n  5 -> 6 [size =\"29840384\"]\n  6 [size=\"18793813\", alpha=\"0.11\", expect_size=\"5638144\"] \n  6 -> 7 [size =\"5638144\"]\n  7 [size=\"147223893\", alpha=\"0.06\", expect_size=\"44167168\"] \n  7 -> 8 [size =\"44167168\"]\n  8 [size=\"47008427\", alpha=\"0.12\", expect_size=\"14102528\"] \n  8 -> 9 [size =\"14102528\"]\n  9 [size=\"26552320\", alpha=\"0.19\", expect_size=\"7965696\"] \n  9 -> 10 [size =\"7965696\"]\n  10 [size=\"125631147\", alpha=\"0.15\", expect_size=\"37689344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87861248\", alpha=\"0.13\", expect_size=\"43930624\"] \n  1 -> 2 [size =\"43930624\"]\n  2 [size=\"104785920\", alpha=\"0.03\", expect_size=\"52392960\"] \n  2 -> 3 [size =\"52392960\"]\n  3 [size=\"88111104\", alpha=\"0.07\", expect_size=\"44055552\"] \n  3 -> 4 [size =\"44055552\"]\n  4 [size=\"28039168\", alpha=\"0.07\", expect_size=\"14019584\"] \n  4 -> 5 [size =\"14019584\"]\n  5 [size=\"97787904\", alpha=\"0.12\", expect_size=\"48893952\"] \n  5 -> 6 [size =\"48893952\"]\n  6 [size=\"54282240\", alpha=\"0.18\", expect_size=\"27141120\"] \n  6 -> 7 [size =\"27141120\"]\n  7 [size=\"58210304\", alpha=\"0.00\", expect_size=\"29105152\"] \n  7 -> 8 [size =\"29105152\"]\n  8 [size=\"18376704\", alpha=\"0.08\", expect_size=\"9188352\"] \n  8 -> 9 [size =\"9188352\"]\n  9 [size=\"19144704\", alpha=\"0.14\", expect_size=\"9572352\"] \n  9 -> 10 [size =\"9572352\"]\n  10 [size=\"52133888\", alpha=\"0.13\", expect_size=\"26066944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120316587\", alpha=\"0.15\", expect_size=\"36094976\"] \n  1 -> 6 [size =\"36094976\"]\n  1 -> 7 [size =\"36094976\"]\n  2 [size=\"29774507\", alpha=\"0.01\", expect_size=\"8932352\"] \n  3 [size=\"153681920\", alpha=\"0.19\", expect_size=\"46104576\"] \n  3 -> 8 [size =\"46104576\"]\n  4 [size=\"87589547\", alpha=\"0.15\", expect_size=\"26276864\"] \n  4 -> 8 [size =\"26276864\"]\n  5 [size=\"29655040\", alpha=\"0.16\", expect_size=\"8896512\"] \n  5 -> 7 [size =\"8896512\"]\n  5 -> 9 [size =\"8896512\"]\n  6 [size=\"131741013\", alpha=\"0.08\", expect_size=\"39522304\"] \n  7 [size=\"91931307\", alpha=\"0.03\", expect_size=\"27579392\"] \n  7 -> 10 [size =\"27579392\"]\n  8 [size=\"32003413\", alpha=\"0.14\", expect_size=\"9601024\"] \n  9 [size=\"147514027\", alpha=\"0.12\", expect_size=\"44254208\"] \n  10 [size=\"138236587\", alpha=\"0.17\", expect_size=\"41470976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14200320\", alpha=\"0.18\", expect_size=\"5680128\"] \n  1 -> 2 [size =\"5680128\"]\n  2 [size=\"36602880\", alpha=\"0.08\", expect_size=\"14641152\"] \n  2 -> 3 [size =\"14641152\"]\n  3 [size=\"126336000\", alpha=\"0.02\", expect_size=\"50534400\"] \n  3 -> 4 [size =\"50534400\"]\n  4 [size=\"23416320\", alpha=\"0.09\", expect_size=\"9366528\"] \n  4 -> 5 [size =\"9366528\"]\n  5 [size=\"93716480\", alpha=\"0.02\", expect_size=\"37486592\"] \n  5 -> 6 [size =\"37486592\"]\n  6 [size=\"64921600\", alpha=\"0.06\", expect_size=\"25968640\"] \n  6 -> 7 [size =\"25968640\"]\n  7 [size=\"43622400\", alpha=\"0.02\", expect_size=\"17448960\"] \n  7 -> 8 [size =\"17448960\"]\n  8 [size=\"67182080\", alpha=\"0.09\", expect_size=\"26872832\"] \n  8 -> 9 [size =\"26872832\"]\n  9 [size=\"119147520\", alpha=\"0.16\", expect_size=\"47659008\"] \n  9 -> 10 [size =\"47659008\"]\n  10 [size=\"90762240\", alpha=\"0.04\", expect_size=\"36304896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88233984\", alpha=\"0.16\", expect_size=\"44116992\"] \n  2 [size=\"75657216\", alpha=\"0.01\", expect_size=\"37828608\"] \n  2 -> 4 [size =\"37828608\"]\n  2 -> 6 [size =\"37828608\"]\n  3 [size=\"91346944\", alpha=\"0.15\", expect_size=\"45673472\"] \n  3 -> 5 [size =\"45673472\"]\n  4 [size=\"29868032\", alpha=\"0.10\", expect_size=\"14934016\"] \n  4 -> 7 [size =\"14934016\"]\n  4 -> 8 [size =\"14934016\"]\n  5 [size=\"15017984\", alpha=\"0.02\", expect_size=\"7508992\"] \n  5 -> 8 [size =\"7508992\"]\n  5 -> 9 [size =\"7508992\"]\n  6 [size=\"41861120\", alpha=\"0.11\", expect_size=\"20930560\"] \n  6 -> 7 [size =\"20930560\"]\n  7 [size=\"79896576\", alpha=\"0.01\", expect_size=\"39948288\"] \n  8 [size=\"46395392\", alpha=\"0.04\", expect_size=\"23197696\"] \n  8 -> 10 [size =\"23197696\"]\n  9 [size=\"93069312\", alpha=\"0.19\", expect_size=\"46534656\"] \n  9 -> 10 [size =\"46534656\"]\n  10 [size=\"94136320\", alpha=\"0.02\", expect_size=\"47068160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31688704\", alpha=\"0.14\", expect_size=\"15844352\"] \n  1 -> 6 [size =\"15844352\"]\n  1 -> 9 [size =\"15844352\"]\n  2 [size=\"23746560\", alpha=\"0.06\", expect_size=\"11873280\"] \n  2 -> 6 [size =\"11873280\"]\n  2 -> 8 [size =\"11873280\"]\n  3 [size=\"34449408\", alpha=\"0.18\", expect_size=\"17224704\"] \n  3 -> 6 [size =\"17224704\"]\n  3 -> 7 [size =\"17224704\"]\n  3 -> 8 [size =\"17224704\"]\n  3 -> 10 [size =\"17224704\"]\n  4 [size=\"18544640\", alpha=\"0.06\", expect_size=\"9272320\"] \n  4 -> 6 [size =\"9272320\"]\n  4 -> 7 [size =\"9272320\"]\n  4 -> 8 [size =\"9272320\"]\n  4 -> 9 [size =\"9272320\"]\n  5 [size=\"30222336\", alpha=\"0.19\", expect_size=\"15111168\"] \n  5 -> 6 [size =\"15111168\"]\n  5 -> 7 [size =\"15111168\"]\n  5 -> 8 [size =\"15111168\"]\n  5 -> 9 [size =\"15111168\"]\n  6 [size=\"92702720\", alpha=\"0.14\", expect_size=\"46351360\"] \n  7 [size=\"27310080\", alpha=\"0.13\", expect_size=\"13655040\"] \n  8 [size=\"70361088\", alpha=\"0.17\", expect_size=\"35180544\"] \n  9 [size=\"64346112\", alpha=\"0.12\", expect_size=\"32173056\"] \n  10 [size=\"48226304\", alpha=\"0.17\", expect_size=\"24113152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29412693\", alpha=\"0.02\", expect_size=\"8823808\"] \n  2 [size=\"134792533\", alpha=\"0.17\", expect_size=\"40437760\"] \n  2 -> 6 [size =\"40437760\"]\n  3 [size=\"76588373\", alpha=\"0.08\", expect_size=\"22976512\"] \n  3 -> 7 [size =\"22976512\"]\n  4 [size=\"152087893\", alpha=\"0.14\", expect_size=\"45626368\"] \n  4 -> 5 [size =\"45626368\"]\n  4 -> 8 [size =\"45626368\"]\n  4 -> 9 [size =\"45626368\"]\n  5 [size=\"149278720\", alpha=\"0.18\", expect_size=\"44783616\"] \n  6 [size=\"157385387\", alpha=\"0.16\", expect_size=\"47215616\"] \n  6 -> 10 [size =\"47215616\"]\n  7 [size=\"143889067\", alpha=\"0.18\", expect_size=\"43166720\"] \n  7 -> 10 [size =\"43166720\"]\n  8 [size=\"92416000\", alpha=\"0.20\", expect_size=\"27724800\"] \n  9 [size=\"18769920\", alpha=\"0.01\", expect_size=\"5630976\"] \n  10 [size=\"170813440\", alpha=\"0.15\", expect_size=\"51244032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121464320\", alpha=\"0.13\", expect_size=\"48585728\"] \n  1 -> 2 [size =\"48585728\"]\n  2 [size=\"74690560\", alpha=\"0.05\", expect_size=\"29876224\"] \n  2 -> 3 [size =\"29876224\"]\n  3 [size=\"89208320\", alpha=\"0.05\", expect_size=\"35683328\"] \n  3 -> 4 [size =\"35683328\"]\n  4 [size=\"49996800\", alpha=\"0.18\", expect_size=\"19998720\"] \n  4 -> 5 [size =\"19998720\"]\n  5 [size=\"67811840\", alpha=\"0.19\", expect_size=\"27124736\"] \n  5 -> 6 [size =\"27124736\"]\n  6 [size=\"44992000\", alpha=\"0.08\", expect_size=\"17996800\"] \n  6 -> 7 [size =\"17996800\"]\n  7 [size=\"124853760\", alpha=\"0.04\", expect_size=\"49941504\"] \n  7 -> 8 [size =\"49941504\"]\n  8 [size=\"85352960\", alpha=\"0.12\", expect_size=\"34141184\"] \n  8 -> 9 [size =\"34141184\"]\n  9 [size=\"110520320\", alpha=\"0.03\", expect_size=\"44208128\"] \n  9 -> 10 [size =\"44208128\"]\n  10 [size=\"47375360\", alpha=\"0.12\", expect_size=\"18950144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142660267\", alpha=\"0.04\", expect_size=\"42798080\"] \n  1 -> 5 [size =\"42798080\"]\n  2 [size=\"104086187\", alpha=\"0.04\", expect_size=\"31225856\"] \n  2 -> 5 [size =\"31225856\"]\n  3 [size=\"85507413\", alpha=\"0.09\", expect_size=\"25652224\"] \n  3 -> 6 [size =\"25652224\"]\n  4 [size=\"36297387\", alpha=\"0.03\", expect_size=\"10889216\"] \n  4 -> 5 [size =\"10889216\"]\n  4 -> 6 [size =\"10889216\"]\n  5 [size=\"96303787\", alpha=\"0.03\", expect_size=\"28891136\"] \n  5 -> 7 [size =\"28891136\"]\n  5 -> 9 [size =\"28891136\"]\n  6 [size=\"116217173\", alpha=\"0.10\", expect_size=\"34865152\"] \n  6 -> 7 [size =\"34865152\"]\n  6 -> 8 [size =\"34865152\"]\n  7 [size=\"73932800\", alpha=\"0.17\", expect_size=\"22179840\"] \n  7 -> 10 [size =\"22179840\"]\n  8 [size=\"130140160\", alpha=\"0.15\", expect_size=\"39042048\"] \n  8 -> 10 [size =\"39042048\"]\n  9 [size=\"35880960\", alpha=\"0.18\", expect_size=\"10764288\"] \n  10 [size=\"174066347\", alpha=\"0.09\", expect_size=\"52219904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24416256\", alpha=\"0.03\", expect_size=\"12208128\"] \n  1 -> 10 [size =\"12208128\"]\n  2 [size=\"96274432\", alpha=\"0.13\", expect_size=\"48137216\"] \n  2 -> 10 [size =\"48137216\"]\n  3 [size=\"76550144\", alpha=\"0.09\", expect_size=\"38275072\"] \n  3 -> 8 [size =\"38275072\"]\n  3 -> 10 [size =\"38275072\"]\n  4 [size=\"93820928\", alpha=\"0.15\", expect_size=\"46910464\"] \n  4 -> 8 [size =\"46910464\"]\n  4 -> 9 [size =\"46910464\"]\n  4 -> 10 [size =\"46910464\"]\n  5 [size=\"24152064\", alpha=\"0.08\", expect_size=\"12076032\"] \n  5 -> 9 [size =\"12076032\"]\n  5 -> 10 [size =\"12076032\"]\n  6 [size=\"103780352\", alpha=\"0.10\", expect_size=\"51890176\"] \n  6 -> 10 [size =\"51890176\"]\n  7 [size=\"82296832\", alpha=\"0.06\", expect_size=\"41148416\"] \n  7 -> 8 [size =\"41148416\"]\n  7 -> 9 [size =\"41148416\"]\n  7 -> 10 [size =\"41148416\"]\n  8 [size=\"20664320\", alpha=\"0.04\", expect_size=\"10332160\"] \n  9 [size=\"34465792\", alpha=\"0.17\", expect_size=\"17232896\"] \n  10 [size=\"97013760\", alpha=\"0.09\", expect_size=\"48506880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102295552\", alpha=\"0.01\", expect_size=\"51147776\"] \n  1 -> 2 [size =\"51147776\"]\n  2 [size=\"41594880\", alpha=\"0.10\", expect_size=\"20797440\"] \n  2 -> 3 [size =\"20797440\"]\n  3 [size=\"79478784\", alpha=\"0.19\", expect_size=\"39739392\"] \n  3 -> 4 [size =\"39739392\"]\n  4 [size=\"84033536\", alpha=\"0.15\", expect_size=\"42016768\"] \n  4 -> 5 [size =\"42016768\"]\n  5 [size=\"74219520\", alpha=\"0.16\", expect_size=\"37109760\"] \n  5 -> 6 [size =\"37109760\"]\n  6 [size=\"70866944\", alpha=\"0.01\", expect_size=\"35433472\"] \n  6 -> 7 [size =\"35433472\"]\n  7 [size=\"57186304\", alpha=\"0.18\", expect_size=\"28593152\"] \n  7 -> 8 [size =\"28593152\"]\n  8 [size=\"86796288\", alpha=\"0.13\", expect_size=\"43398144\"] \n  8 -> 9 [size =\"43398144\"]\n  9 [size=\"52070400\", alpha=\"0.19\", expect_size=\"26035200\"] \n  9 -> 10 [size =\"26035200\"]\n  10 [size=\"17016832\", alpha=\"0.05\", expect_size=\"8508416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37056512\", alpha=\"0.16\", expect_size=\"18528256\"] \n  1 -> 2 [size =\"18528256\"]\n  1 -> 3 [size =\"18528256\"]\n  2 [size=\"49104896\", alpha=\"0.20\", expect_size=\"24552448\"] \n  3 [size=\"11952128\", alpha=\"0.09\", expect_size=\"5976064\"] \n  3 -> 4 [size =\"5976064\"]\n  3 -> 5 [size =\"5976064\"]\n  4 [size=\"66488320\", alpha=\"0.12\", expect_size=\"33244160\"] \n  4 -> 6 [size =\"33244160\"]\n  4 -> 8 [size =\"33244160\"]\n  5 [size=\"59996160\", alpha=\"0.12\", expect_size=\"29998080\"] \n  5 -> 6 [size =\"29998080\"]\n  5 -> 7 [size =\"29998080\"]\n  6 [size=\"12902400\", alpha=\"0.12\", expect_size=\"6451200\"] \n  6 -> 10 [size =\"6451200\"]\n  7 [size=\"63629312\", alpha=\"0.12\", expect_size=\"31814656\"] \n  7 -> 9 [size =\"31814656\"]\n  8 [size=\"16029696\", alpha=\"0.04\", expect_size=\"8014848\"] \n  9 [size=\"70100992\", alpha=\"0.04\", expect_size=\"35050496\"] \n  10 [size=\"103409664\", alpha=\"0.20\", expect_size=\"51704832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103644160\", alpha=\"0.01\", expect_size=\"41457664\"] \n  1 -> 5 [size =\"41457664\"]\n  2 [size=\"61491200\", alpha=\"0.18\", expect_size=\"24596480\"] \n  2 -> 4 [size =\"24596480\"]\n  3 [size=\"72975360\", alpha=\"0.03\", expect_size=\"29190144\"] \n  4 [size=\"75985920\", alpha=\"0.07\", expect_size=\"30394368\"] \n  4 -> 6 [size =\"30394368\"]\n  4 -> 7 [size =\"30394368\"]\n  4 -> 8 [size =\"30394368\"]\n  5 [size=\"66570240\", alpha=\"0.04\", expect_size=\"26628096\"] \n  6 [size=\"121832960\", alpha=\"0.19\", expect_size=\"48733184\"] \n  7 [size=\"128788480\", alpha=\"0.04\", expect_size=\"51515392\"] \n  7 -> 10 [size =\"51515392\"]\n  8 [size=\"77969920\", alpha=\"0.06\", expect_size=\"31187968\"] \n  8 -> 9 [size =\"31187968\"]\n  8 -> 10 [size =\"31187968\"]\n  9 [size=\"55121920\", alpha=\"0.07\", expect_size=\"22048768\"] \n  10 [size=\"25052160\", alpha=\"0.06\", expect_size=\"10020864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16184320\", alpha=\"0.09\", expect_size=\"6473728\"] \n  1 -> 2 [size =\"6473728\"]\n  2 [size=\"29145600\", alpha=\"0.05\", expect_size=\"11658240\"] \n  2 -> 3 [size =\"11658240\"]\n  3 [size=\"109306880\", alpha=\"0.02\", expect_size=\"43722752\"] \n  3 -> 4 [size =\"43722752\"]\n  4 [size=\"100887040\", alpha=\"0.11\", expect_size=\"40354816\"] \n  4 -> 5 [size =\"40354816\"]\n  5 [size=\"58488320\", alpha=\"0.03\", expect_size=\"23395328\"] \n  5 -> 6 [size =\"23395328\"]\n  6 [size=\"72865280\", alpha=\"0.04\", expect_size=\"29146112\"] \n  6 -> 7 [size =\"29146112\"]\n  7 [size=\"76692480\", alpha=\"0.11\", expect_size=\"30676992\"] \n  7 -> 8 [size =\"30676992\"]\n  8 [size=\"13171200\", alpha=\"0.13\", expect_size=\"5268480\"] \n  8 -> 9 [size =\"5268480\"]\n  9 [size=\"78016000\", alpha=\"0.16\", expect_size=\"31206400\"] \n  9 -> 10 [size =\"31206400\"]\n  10 [size=\"53373440\", alpha=\"0.18\", expect_size=\"21349376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17682432\", alpha=\"0.15\", expect_size=\"8841216\"] \n  1 -> 6 [size =\"8841216\"]\n  2 [size=\"55422976\", alpha=\"0.20\", expect_size=\"27711488\"] \n  3 [size=\"39354368\", alpha=\"0.16\", expect_size=\"19677184\"] \n  4 [size=\"75106304\", alpha=\"0.00\", expect_size=\"37553152\"] \n  4 -> 6 [size =\"37553152\"]\n  4 -> 8 [size =\"37553152\"]\n  4 -> 9 [size =\"37553152\"]\n  5 [size=\"85735424\", alpha=\"0.04\", expect_size=\"42867712\"] \n  5 -> 7 [size =\"42867712\"]\n  6 [size=\"53628928\", alpha=\"0.12\", expect_size=\"26814464\"] \n  7 [size=\"62846976\", alpha=\"0.16\", expect_size=\"31423488\"] \n  7 -> 10 [size =\"31423488\"]\n  8 [size=\"14891008\", alpha=\"0.14\", expect_size=\"7445504\"] \n  9 [size=\"73246720\", alpha=\"0.06\", expect_size=\"36623360\"] \n  9 -> 10 [size =\"36623360\"]\n  10 [size=\"39534592\", alpha=\"0.15\", expect_size=\"19767296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58138624\", alpha=\"0.10\", expect_size=\"29069312\"] \n  1 -> 3 [size =\"29069312\"]\n  2 [size=\"66340864\", alpha=\"0.14\", expect_size=\"33170432\"] \n  2 -> 4 [size =\"33170432\"]\n  2 -> 5 [size =\"33170432\"]\n  3 [size=\"14956544\", alpha=\"0.05\", expect_size=\"7478272\"] \n  4 [size=\"80570368\", alpha=\"0.04\", expect_size=\"40285184\"] \n  5 [size=\"74928128\", alpha=\"0.09\", expect_size=\"37464064\"] \n  5 -> 6 [size =\"37464064\"]\n  5 -> 7 [size =\"37464064\"]\n  6 [size=\"17395712\", alpha=\"0.13\", expect_size=\"8697856\"] \n  6 -> 8 [size =\"8697856\"]\n  6 -> 9 [size =\"8697856\"]\n  6 -> 10 [size =\"8697856\"]\n  7 [size=\"38543360\", alpha=\"0.03\", expect_size=\"19271680\"] \n  8 [size=\"102410240\", alpha=\"0.02\", expect_size=\"51205120\"] \n  9 [size=\"79872000\", alpha=\"0.06\", expect_size=\"39936000\"] \n  10 [size=\"96952320\", alpha=\"0.10\", expect_size=\"48476160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16740352\", alpha=\"0.01\", expect_size=\"8370176\"] \n  1 -> 2 [size =\"8370176\"]\n  2 [size=\"43145216\", alpha=\"0.02\", expect_size=\"21572608\"] \n  2 -> 3 [size =\"21572608\"]\n  3 [size=\"14813184\", alpha=\"0.17\", expect_size=\"7406592\"] \n  3 -> 4 [size =\"7406592\"]\n  4 [size=\"95096832\", alpha=\"0.05\", expect_size=\"47548416\"] \n  4 -> 5 [size =\"47548416\"]\n  5 [size=\"29591552\", alpha=\"0.02\", expect_size=\"14795776\"] \n  5 -> 6 [size =\"14795776\"]\n  6 [size=\"51253248\", alpha=\"0.10\", expect_size=\"25626624\"] \n  6 -> 7 [size =\"25626624\"]\n  7 [size=\"97247232\", alpha=\"0.11\", expect_size=\"48623616\"] \n  7 -> 8 [size =\"48623616\"]\n  8 [size=\"87560192\", alpha=\"0.16\", expect_size=\"43780096\"] \n  8 -> 9 [size =\"43780096\"]\n  9 [size=\"24602624\", alpha=\"0.17\", expect_size=\"12301312\"] \n  9 -> 10 [size =\"12301312\"]\n  10 [size=\"47099904\", alpha=\"0.14\", expect_size=\"23549952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22727680\", alpha=\"0.07\", expect_size=\"9091072\"] \n  1 -> 2 [size =\"9091072\"]\n  2 [size=\"124631040\", alpha=\"0.10\", expect_size=\"49852416\"] \n  2 -> 3 [size =\"49852416\"]\n  3 [size=\"60784640\", alpha=\"0.05\", expect_size=\"24313856\"] \n  3 -> 4 [size =\"24313856\"]\n  4 [size=\"97392640\", alpha=\"0.07\", expect_size=\"38957056\"] \n  4 -> 5 [size =\"38957056\"]\n  5 [size=\"25057280\", alpha=\"0.11\", expect_size=\"10022912\"] \n  5 -> 6 [size =\"10022912\"]\n  6 [size=\"58234880\", alpha=\"0.18\", expect_size=\"23293952\"] \n  6 -> 7 [size =\"23293952\"]\n  7 [size=\"83264000\", alpha=\"0.05\", expect_size=\"33305600\"] \n  7 -> 8 [size =\"33305600\"]\n  8 [size=\"37498880\", alpha=\"0.03\", expect_size=\"14999552\"] \n  8 -> 9 [size =\"14999552\"]\n  9 [size=\"34019840\", alpha=\"0.02\", expect_size=\"13607936\"] \n  9 -> 10 [size =\"13607936\"]\n  10 [size=\"87956480\", alpha=\"0.02\", expect_size=\"35182592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68124672\", alpha=\"0.04\", expect_size=\"34062336\"] \n  1 -> 2 [size =\"34062336\"]\n  2 [size=\"16248832\", alpha=\"0.09\", expect_size=\"8124416\"] \n  2 -> 3 [size =\"8124416\"]\n  3 [size=\"37070848\", alpha=\"0.03\", expect_size=\"18535424\"] \n  3 -> 4 [size =\"18535424\"]\n  4 [size=\"62875648\", alpha=\"0.20\", expect_size=\"31437824\"] \n  4 -> 5 [size =\"31437824\"]\n  5 [size=\"60219392\", alpha=\"0.10\", expect_size=\"30109696\"] \n  5 -> 6 [size =\"30109696\"]\n  6 [size=\"44920832\", alpha=\"0.16\", expect_size=\"22460416\"] \n  6 -> 7 [size =\"22460416\"]\n  7 [size=\"86728704\", alpha=\"0.00\", expect_size=\"43364352\"] \n  7 -> 8 [size =\"43364352\"]\n  8 [size=\"71055360\", alpha=\"0.10\", expect_size=\"35527680\"] \n  8 -> 9 [size =\"35527680\"]\n  9 [size=\"82083840\", alpha=\"0.19\", expect_size=\"41041920\"] \n  9 -> 10 [size =\"41041920\"]\n  10 [size=\"99692544\", alpha=\"0.10\", expect_size=\"49846272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109967360\", alpha=\"0.10\", expect_size=\"32990208\"] \n  1 -> 6 [size =\"32990208\"]\n  1 -> 9 [size =\"32990208\"]\n  2 [size=\"76561067\", alpha=\"0.09\", expect_size=\"22968320\"] \n  2 -> 7 [size =\"22968320\"]\n  3 [size=\"125934933\", alpha=\"0.13\", expect_size=\"37780480\"] \n  3 -> 7 [size =\"37780480\"]\n  3 -> 8 [size =\"37780480\"]\n  3 -> 9 [size =\"37780480\"]\n  4 [size=\"141209600\", alpha=\"0.03\", expect_size=\"42362880\"] \n  4 -> 6 [size =\"42362880\"]\n  4 -> 9 [size =\"42362880\"]\n  5 [size=\"171898880\", alpha=\"0.03\", expect_size=\"51569664\"] \n  5 -> 9 [size =\"51569664\"]\n  5 -> 10 [size =\"51569664\"]\n  6 [size=\"53944320\", alpha=\"0.07\", expect_size=\"16183296\"] \n  7 [size=\"103659520\", alpha=\"0.19\", expect_size=\"31097856\"] \n  8 [size=\"138612053\", alpha=\"0.16\", expect_size=\"41583616\"] \n  9 [size=\"18913280\", alpha=\"0.10\", expect_size=\"5673984\"] \n  10 [size=\"102676480\", alpha=\"0.11\", expect_size=\"30802944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71845888\", alpha=\"0.06\", expect_size=\"35922944\"] \n  1 -> 2 [size =\"35922944\"]\n  2 [size=\"35954688\", alpha=\"0.16\", expect_size=\"17977344\"] \n  2 -> 3 [size =\"17977344\"]\n  3 [size=\"58615808\", alpha=\"0.08\", expect_size=\"29307904\"] \n  3 -> 4 [size =\"29307904\"]\n  4 [size=\"29786112\", alpha=\"0.14\", expect_size=\"14893056\"] \n  4 -> 5 [size =\"14893056\"]\n  5 [size=\"42606592\", alpha=\"0.09\", expect_size=\"21303296\"] \n  5 -> 6 [size =\"21303296\"]\n  6 [size=\"84498432\", alpha=\"0.02\", expect_size=\"42249216\"] \n  6 -> 7 [size =\"42249216\"]\n  7 [size=\"27480064\", alpha=\"0.20\", expect_size=\"13740032\"] \n  7 -> 8 [size =\"13740032\"]\n  8 [size=\"52695040\", alpha=\"0.04\", expect_size=\"26347520\"] \n  8 -> 9 [size =\"26347520\"]\n  9 [size=\"90148864\", alpha=\"0.10\", expect_size=\"45074432\"] \n  9 -> 10 [size =\"45074432\"]\n  10 [size=\"55242752\", alpha=\"0.06\", expect_size=\"27621376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91456000\", alpha=\"0.02\", expect_size=\"36582400\"] \n  1 -> 2 [size =\"36582400\"]\n  2 [size=\"56460800\", alpha=\"0.04\", expect_size=\"22584320\"] \n  2 -> 3 [size =\"22584320\"]\n  3 [size=\"56299520\", alpha=\"0.06\", expect_size=\"22519808\"] \n  3 -> 4 [size =\"22519808\"]\n  4 [size=\"74419200\", alpha=\"0.16\", expect_size=\"29767680\"] \n  4 -> 5 [size =\"29767680\"]\n  5 [size=\"40939520\", alpha=\"0.18\", expect_size=\"16375808\"] \n  5 -> 6 [size =\"16375808\"]\n  6 [size=\"99325440\", alpha=\"0.09\", expect_size=\"39730176\"] \n  6 -> 7 [size =\"39730176\"]\n  7 [size=\"54492160\", alpha=\"0.14\", expect_size=\"21796864\"] \n  7 -> 8 [size =\"21796864\"]\n  8 [size=\"111244800\", alpha=\"0.10\", expect_size=\"44497920\"] \n  8 -> 9 [size =\"44497920\"]\n  9 [size=\"115217920\", alpha=\"0.05\", expect_size=\"46087168\"] \n  9 -> 10 [size =\"46087168\"]\n  10 [size=\"97303040\", alpha=\"0.13\", expect_size=\"38921216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75253760\", alpha=\"0.18\", expect_size=\"37626880\"] \n  1 -> 2 [size =\"37626880\"]\n  2 [size=\"55296000\", alpha=\"0.12\", expect_size=\"27648000\"] \n  2 -> 3 [size =\"27648000\"]\n  3 [size=\"79740928\", alpha=\"0.14\", expect_size=\"39870464\"] \n  3 -> 4 [size =\"39870464\"]\n  4 [size=\"43407360\", alpha=\"0.19\", expect_size=\"21703680\"] \n  4 -> 5 [size =\"21703680\"]\n  5 [size=\"24463360\", alpha=\"0.07\", expect_size=\"12231680\"] \n  5 -> 6 [size =\"12231680\"]\n  6 [size=\"76306432\", alpha=\"0.17\", expect_size=\"38153216\"] \n  6 -> 7 [size =\"38153216\"]\n  7 [size=\"61972480\", alpha=\"0.09\", expect_size=\"30986240\"] \n  7 -> 8 [size =\"30986240\"]\n  8 [size=\"33656832\", alpha=\"0.07\", expect_size=\"16828416\"] \n  8 -> 9 [size =\"16828416\"]\n  9 [size=\"97505280\", alpha=\"0.11\", expect_size=\"48752640\"] \n  9 -> 10 [size =\"48752640\"]\n  10 [size=\"57249792\", alpha=\"0.12\", expect_size=\"28624896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95941120\", alpha=\"0.04\", expect_size=\"38376448\"] \n  1 -> 2 [size =\"38376448\"]\n  2 [size=\"21952000\", alpha=\"0.01\", expect_size=\"8780800\"] \n  2 -> 3 [size =\"8780800\"]\n  3 [size=\"83105280\", alpha=\"0.11\", expect_size=\"33242112\"] \n  3 -> 4 [size =\"33242112\"]\n  4 [size=\"32998400\", alpha=\"0.11\", expect_size=\"13199360\"] \n  4 -> 5 [size =\"13199360\"]\n  5 [size=\"18969600\", alpha=\"0.06\", expect_size=\"7587840\"] \n  5 -> 6 [size =\"7587840\"]\n  6 [size=\"90019840\", alpha=\"0.05\", expect_size=\"36007936\"] \n  6 -> 7 [size =\"36007936\"]\n  7 [size=\"98828800\", alpha=\"0.14\", expect_size=\"39531520\"] \n  7 -> 8 [size =\"39531520\"]\n  8 [size=\"30054400\", alpha=\"0.04\", expect_size=\"12021760\"] \n  8 -> 9 [size =\"12021760\"]\n  9 [size=\"126466560\", alpha=\"0.07\", expect_size=\"50586624\"] \n  9 -> 10 [size =\"50586624\"]\n  10 [size=\"43453440\", alpha=\"0.20\", expect_size=\"17381376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109872640\", alpha=\"0.00\", expect_size=\"43949056\"] \n  1 -> 6 [size =\"43949056\"]\n  2 [size=\"119930880\", alpha=\"0.15\", expect_size=\"47972352\"] \n  2 -> 4 [size =\"47972352\"]\n  2 -> 5 [size =\"47972352\"]\n  3 [size=\"39247360\", alpha=\"0.20\", expect_size=\"15698944\"] \n  4 [size=\"93217280\", alpha=\"0.09\", expect_size=\"37286912\"] \n  4 -> 7 [size =\"37286912\"]\n  5 [size=\"67048960\", alpha=\"0.09\", expect_size=\"26819584\"] \n  6 [size=\"71272960\", alpha=\"0.13\", expect_size=\"28509184\"] \n  6 -> 8 [size =\"28509184\"]\n  6 -> 9 [size =\"28509184\"]\n  7 [size=\"125905920\", alpha=\"0.06\", expect_size=\"50362368\"] \n  8 [size=\"85253120\", alpha=\"0.03\", expect_size=\"34101248\"] \n  9 [size=\"120783360\", alpha=\"0.08\", expect_size=\"48313344\"] \n  9 -> 10 [size =\"48313344\"]\n  10 [size=\"18595840\", alpha=\"0.11\", expect_size=\"7438336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82631680\", alpha=\"0.12\", expect_size=\"33052672\"] \n  1 -> 9 [size =\"33052672\"]\n  2 [size=\"96970240\", alpha=\"0.08\", expect_size=\"38788096\"] \n  2 -> 9 [size =\"38788096\"]\n  3 [size=\"84454400\", alpha=\"0.11\", expect_size=\"33781760\"] \n  3 -> 9 [size =\"33781760\"]\n  4 [size=\"25602560\", alpha=\"0.08\", expect_size=\"10241024\"] \n  4 -> 10 [size =\"10241024\"]\n  5 [size=\"129735680\", alpha=\"0.04\", expect_size=\"51894272\"] \n  5 -> 8 [size =\"51894272\"]\n  6 [size=\"39994880\", alpha=\"0.04\", expect_size=\"15997952\"] \n  6 -> 8 [size =\"15997952\"]\n  7 [size=\"39531520\", alpha=\"0.10\", expect_size=\"15812608\"] \n  7 -> 8 [size =\"15812608\"]\n  8 [size=\"73556480\", alpha=\"0.07\", expect_size=\"29422592\"] \n  9 [size=\"27440640\", alpha=\"0.12\", expect_size=\"10976256\"] \n  10 [size=\"60615680\", alpha=\"0.05\", expect_size=\"24246272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24701440\", alpha=\"0.11\", expect_size=\"9880576\"] \n  1 -> 7 [size =\"9880576\"]\n  2 [size=\"41538560\", alpha=\"0.07\", expect_size=\"16615424\"] \n  2 -> 7 [size =\"16615424\"]\n  2 -> 8 [size =\"16615424\"]\n  3 [size=\"121912320\", alpha=\"0.15\", expect_size=\"48764928\"] \n  3 -> 6 [size =\"48764928\"]\n  3 -> 8 [size =\"48764928\"]\n  4 [size=\"48650240\", alpha=\"0.18\", expect_size=\"19460096\"] \n  4 -> 9 [size =\"19460096\"]\n  5 [size=\"58311680\", alpha=\"0.18\", expect_size=\"23324672\"] \n  5 -> 6 [size =\"23324672\"]\n  5 -> 7 [size =\"23324672\"]\n  5 -> 8 [size =\"23324672\"]\n  6 [size=\"53821440\", alpha=\"0.18\", expect_size=\"21528576\"] \n  7 [size=\"102397440\", alpha=\"0.05\", expect_size=\"40958976\"] \n  8 [size=\"100830720\", alpha=\"0.01\", expect_size=\"40332288\"] \n  8 -> 10 [size =\"40332288\"]\n  9 [size=\"77788160\", alpha=\"0.06\", expect_size=\"31115264\"] \n  10 [size=\"90191360\", alpha=\"0.08\", expect_size=\"36076544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81905664\", alpha=\"0.02\", expect_size=\"40952832\"] \n  1 -> 2 [size =\"40952832\"]\n  2 [size=\"93820928\", alpha=\"0.06\", expect_size=\"46910464\"] \n  2 -> 3 [size =\"46910464\"]\n  3 [size=\"74663936\", alpha=\"0.15\", expect_size=\"37331968\"] \n  3 -> 4 [size =\"37331968\"]\n  4 [size=\"70533120\", alpha=\"0.17\", expect_size=\"35266560\"] \n  4 -> 5 [size =\"35266560\"]\n  5 [size=\"35282944\", alpha=\"0.14\", expect_size=\"17641472\"] \n  5 -> 6 [size =\"17641472\"]\n  6 [size=\"59887616\", alpha=\"0.19\", expect_size=\"29943808\"] \n  6 -> 7 [size =\"29943808\"]\n  7 [size=\"83802112\", alpha=\"0.08\", expect_size=\"41901056\"] \n  7 -> 8 [size =\"41901056\"]\n  8 [size=\"90068992\", alpha=\"0.14\", expect_size=\"45034496\"] \n  8 -> 9 [size =\"45034496\"]\n  9 [size=\"65247232\", alpha=\"0.04\", expect_size=\"32623616\"] \n  9 -> 10 [size =\"32623616\"]\n  10 [size=\"61597696\", alpha=\"0.13\", expect_size=\"30798848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49483776\", alpha=\"0.04\", expect_size=\"24741888\"] \n  1 -> 3 [size =\"24741888\"]\n  1 -> 4 [size =\"24741888\"]\n  1 -> 5 [size =\"24741888\"]\n  2 [size=\"18255872\", alpha=\"0.16\", expect_size=\"9127936\"] \n  3 [size=\"93769728\", alpha=\"0.20\", expect_size=\"46884864\"] \n  3 -> 7 [size =\"46884864\"]\n  4 [size=\"91037696\", alpha=\"0.01\", expect_size=\"45518848\"] \n  4 -> 6 [size =\"45518848\"]\n  5 [size=\"54550528\", alpha=\"0.09\", expect_size=\"27275264\"] \n  5 -> 6 [size =\"27275264\"]\n  5 -> 7 [size =\"27275264\"]\n  6 [size=\"77805568\", alpha=\"0.04\", expect_size=\"38902784\"] \n  6 -> 8 [size =\"38902784\"]\n  6 -> 9 [size =\"38902784\"]\n  7 [size=\"30935040\", alpha=\"0.00\", expect_size=\"15467520\"] \n  7 -> 8 [size =\"15467520\"]\n  7 -> 9 [size =\"15467520\"]\n  8 [size=\"45893632\", alpha=\"0.20\", expect_size=\"22946816\"] \n  8 -> 10 [size =\"22946816\"]\n  9 [size=\"17506304\", alpha=\"0.05\", expect_size=\"8753152\"] \n  9 -> 10 [size =\"8753152\"]\n  10 [size=\"88270848\", alpha=\"0.13\", expect_size=\"44135424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142472533\", alpha=\"0.18\", expect_size=\"42741760\"] \n  1 -> 3 [size =\"42741760\"]\n  1 -> 4 [size =\"42741760\"]\n  2 [size=\"59712853\", alpha=\"0.09\", expect_size=\"17913856\"] \n  2 -> 5 [size =\"17913856\"]\n  3 [size=\"143431680\", alpha=\"0.04\", expect_size=\"43029504\"] \n  3 -> 7 [size =\"43029504\"]\n  4 [size=\"32819200\", alpha=\"0.13\", expect_size=\"9845760\"] \n  4 -> 7 [size =\"9845760\"]\n  5 [size=\"161440427\", alpha=\"0.10\", expect_size=\"48432128\"] \n  5 -> 6 [size =\"48432128\"]\n  6 [size=\"63720107\", alpha=\"0.12\", expect_size=\"19116032\"] \n  6 -> 8 [size =\"19116032\"]\n  6 -> 9 [size =\"19116032\"]\n  7 [size=\"109656747\", alpha=\"0.12\", expect_size=\"32897024\"] \n  7 -> 10 [size =\"32897024\"]\n  8 [size=\"88965120\", alpha=\"0.14\", expect_size=\"26689536\"] \n  9 [size=\"121688747\", alpha=\"0.07\", expect_size=\"36506624\"] \n  10 [size=\"121937920\", alpha=\"0.08\", expect_size=\"36581376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30187520\", alpha=\"0.03\", expect_size=\"12075008\"] \n  1 -> 9 [size =\"12075008\"]\n  2 [size=\"107036160\", alpha=\"0.07\", expect_size=\"42814464\"] \n  3 [size=\"107939840\", alpha=\"0.06\", expect_size=\"43175936\"] \n  4 [size=\"75581440\", alpha=\"0.14\", expect_size=\"30232576\"] \n  4 -> 10 [size =\"30232576\"]\n  5 [size=\"50782720\", alpha=\"0.16\", expect_size=\"20313088\"] \n  5 -> 9 [size =\"20313088\"]\n  6 [size=\"74831360\", alpha=\"0.02\", expect_size=\"29932544\"] \n  6 -> 9 [size =\"29932544\"]\n  7 [size=\"72309760\", alpha=\"0.10\", expect_size=\"28923904\"] \n  7 -> 8 [size =\"28923904\"]\n  7 -> 9 [size =\"28923904\"]\n  8 [size=\"95685120\", alpha=\"0.18\", expect_size=\"38274048\"] \n  9 [size=\"38218240\", alpha=\"0.17\", expect_size=\"15287296\"] \n  10 [size=\"110791680\", alpha=\"0.12\", expect_size=\"44316672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111162880\", alpha=\"0.16\", expect_size=\"44465152\"] \n  1 -> 2 [size =\"44465152\"]\n  2 [size=\"47984640\", alpha=\"0.19\", expect_size=\"19193856\"] \n  2 -> 3 [size =\"19193856\"]\n  3 [size=\"87541760\", alpha=\"0.15\", expect_size=\"35016704\"] \n  3 -> 4 [size =\"35016704\"]\n  4 [size=\"63664640\", alpha=\"0.06\", expect_size=\"25465856\"] \n  4 -> 5 [size =\"25465856\"]\n  5 [size=\"117163520\", alpha=\"0.00\", expect_size=\"46865408\"] \n  5 -> 6 [size =\"46865408\"]\n  6 [size=\"113807360\", alpha=\"0.10\", expect_size=\"45522944\"] \n  6 -> 7 [size =\"45522944\"]\n  7 [size=\"73410560\", alpha=\"0.16\", expect_size=\"29364224\"] \n  7 -> 8 [size =\"29364224\"]\n  8 [size=\"124254720\", alpha=\"0.11\", expect_size=\"49701888\"] \n  8 -> 9 [size =\"49701888\"]\n  9 [size=\"41044480\", alpha=\"0.15\", expect_size=\"16417792\"] \n  9 -> 10 [size =\"16417792\"]\n  10 [size=\"81779200\", alpha=\"0.13\", expect_size=\"32711680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113710080\", alpha=\"0.18\", expect_size=\"45484032\"] \n  1 -> 6 [size =\"45484032\"]\n  1 -> 8 [size =\"45484032\"]\n  1 -> 9 [size =\"45484032\"]\n  2 [size=\"33932800\", alpha=\"0.11\", expect_size=\"13573120\"] \n  2 -> 8 [size =\"13573120\"]\n  2 -> 9 [size =\"13573120\"]\n  3 [size=\"15749120\", alpha=\"0.07\", expect_size=\"6299648\"] \n  3 -> 7 [size =\"6299648\"]\n  4 [size=\"92515840\", alpha=\"0.18\", expect_size=\"37006336\"] \n  5 [size=\"105249280\", alpha=\"0.10\", expect_size=\"42099712\"] \n  5 -> 8 [size =\"42099712\"]\n  5 -> 9 [size =\"42099712\"]\n  5 -> 10 [size =\"42099712\"]\n  6 [size=\"21939200\", alpha=\"0.15\", expect_size=\"8775680\"] \n  7 [size=\"105707520\", alpha=\"0.06\", expect_size=\"42283008\"] \n  8 [size=\"34004480\", alpha=\"0.17\", expect_size=\"13601792\"] \n  9 [size=\"18219520\", alpha=\"0.14\", expect_size=\"7287808\"] \n  10 [size=\"80744960\", alpha=\"0.17\", expect_size=\"32297984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68392960\", alpha=\"0.02\", expect_size=\"34196480\"] \n  1 -> 5 [size =\"34196480\"]\n  2 [size=\"22554624\", alpha=\"0.07\", expect_size=\"11277312\"] \n  3 [size=\"56760320\", alpha=\"0.00\", expect_size=\"28380160\"] \n  3 -> 4 [size =\"28380160\"]\n  3 -> 5 [size =\"28380160\"]\n  4 [size=\"34680832\", alpha=\"0.07\", expect_size=\"17340416\"] \n  4 -> 6 [size =\"17340416\"]\n  5 [size=\"19345408\", alpha=\"0.11\", expect_size=\"9672704\"] \n  5 -> 6 [size =\"9672704\"]\n  5 -> 7 [size =\"9672704\"]\n  6 [size=\"97140736\", alpha=\"0.04\", expect_size=\"48570368\"] \n  6 -> 8 [size =\"48570368\"]\n  6 -> 9 [size =\"48570368\"]\n  7 [size=\"48756736\", alpha=\"0.05\", expect_size=\"24378368\"] \n  7 -> 9 [size =\"24378368\"]\n  8 [size=\"52592640\", alpha=\"0.08\", expect_size=\"26296320\"] \n  9 [size=\"74745856\", alpha=\"0.05\", expect_size=\"37372928\"] \n  9 -> 10 [size =\"37372928\"]\n  10 [size=\"15706112\", alpha=\"0.06\", expect_size=\"7853056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118881280\", alpha=\"0.15\", expect_size=\"47552512\"] \n  1 -> 2 [size =\"47552512\"]\n  2 [size=\"85870080\", alpha=\"0.05\", expect_size=\"34348032\"] \n  2 -> 3 [size =\"34348032\"]\n  3 [size=\"40652800\", alpha=\"0.09\", expect_size=\"16261120\"] \n  3 -> 4 [size =\"16261120\"]\n  4 [size=\"62113280\", alpha=\"0.13\", expect_size=\"24845312\"] \n  4 -> 5 [size =\"24845312\"]\n  5 [size=\"27069440\", alpha=\"0.09\", expect_size=\"10827776\"] \n  5 -> 6 [size =\"10827776\"]\n  6 [size=\"42979840\", alpha=\"0.14\", expect_size=\"17191936\"] \n  6 -> 7 [size =\"17191936\"]\n  7 [size=\"83345920\", alpha=\"0.10\", expect_size=\"33338368\"] \n  7 -> 8 [size =\"33338368\"]\n  8 [size=\"93675520\", alpha=\"0.12\", expect_size=\"37470208\"] \n  8 -> 9 [size =\"37470208\"]\n  9 [size=\"60984320\", alpha=\"0.13\", expect_size=\"24393728\"] \n  9 -> 10 [size =\"24393728\"]\n  10 [size=\"122403840\", alpha=\"0.18\", expect_size=\"48961536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97000107\", alpha=\"0.16\", expect_size=\"29100032\"] \n  1 -> 3 [size =\"29100032\"]\n  1 -> 4 [size =\"29100032\"]\n  2 [size=\"74168320\", alpha=\"0.18\", expect_size=\"22250496\"] \n  2 -> 3 [size =\"22250496\"]\n  3 [size=\"41195520\", alpha=\"0.04\", expect_size=\"12358656\"] \n  3 -> 5 [size =\"12358656\"]\n  3 -> 6 [size =\"12358656\"]\n  4 [size=\"133608107\", alpha=\"0.02\", expect_size=\"40082432\"] \n  4 -> 5 [size =\"40082432\"]\n  4 -> 6 [size =\"40082432\"]\n  5 [size=\"122808320\", alpha=\"0.05\", expect_size=\"36842496\"] \n  5 -> 7 [size =\"36842496\"]\n  5 -> 8 [size =\"36842496\"]\n  6 [size=\"132324693\", alpha=\"0.00\", expect_size=\"39697408\"] \n  6 -> 7 [size =\"39697408\"]\n  6 -> 8 [size =\"39697408\"]\n  7 [size=\"83063467\", alpha=\"0.14\", expect_size=\"24919040\"] \n  7 -> 9 [size =\"24919040\"]\n  7 -> 10 [size =\"24919040\"]\n  8 [size=\"146049707\", alpha=\"0.16\", expect_size=\"43814912\"] \n  8 -> 9 [size =\"43814912\"]\n  8 -> 10 [size =\"43814912\"]\n  9 [size=\"92125867\", alpha=\"0.02\", expect_size=\"27637760\"] \n  10 [size=\"97447253\", alpha=\"0.09\", expect_size=\"29234176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80133120\", alpha=\"0.16\", expect_size=\"32053248\"] \n  1 -> 2 [size =\"32053248\"]\n  2 [size=\"14522880\", alpha=\"0.13\", expect_size=\"5809152\"] \n  2 -> 3 [size =\"5809152\"]\n  3 [size=\"19210240\", alpha=\"0.05\", expect_size=\"7684096\"] \n  3 -> 4 [size =\"7684096\"]\n  4 [size=\"79252480\", alpha=\"0.06\", expect_size=\"31700992\"] \n  4 -> 5 [size =\"31700992\"]\n  5 [size=\"60587520\", alpha=\"0.10\", expect_size=\"24235008\"] \n  5 -> 6 [size =\"24235008\"]\n  6 [size=\"50534400\", alpha=\"0.09\", expect_size=\"20213760\"] \n  6 -> 7 [size =\"20213760\"]\n  7 [size=\"50370560\", alpha=\"0.06\", expect_size=\"20148224\"] \n  7 -> 8 [size =\"20148224\"]\n  8 [size=\"91614720\", alpha=\"0.20\", expect_size=\"36645888\"] \n  8 -> 9 [size =\"36645888\"]\n  9 [size=\"16202240\", alpha=\"0.03\", expect_size=\"6480896\"] \n  9 -> 10 [size =\"6480896\"]\n  10 [size=\"66342400\", alpha=\"0.17\", expect_size=\"26536960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154432853\", alpha=\"0.09\", expect_size=\"46329856\"] \n  1 -> 4 [size =\"46329856\"]\n  2 [size=\"158743893\", alpha=\"0.02\", expect_size=\"47623168\"] \n  2 -> 4 [size =\"47623168\"]\n  2 -> 5 [size =\"47623168\"]\n  3 [size=\"164106240\", alpha=\"0.17\", expect_size=\"49231872\"] \n  3 -> 5 [size =\"49231872\"]\n  4 [size=\"67945813\", alpha=\"0.12\", expect_size=\"20383744\"] \n  4 -> 6 [size =\"20383744\"]\n  4 -> 7 [size =\"20383744\"]\n  4 -> 8 [size =\"20383744\"]\n  5 [size=\"89193813\", alpha=\"0.14\", expect_size=\"26758144\"] \n  5 -> 6 [size =\"26758144\"]\n  5 -> 7 [size =\"26758144\"]\n  6 [size=\"105192107\", alpha=\"0.17\", expect_size=\"31557632\"] \n  6 -> 10 [size =\"31557632\"]\n  7 [size=\"84032853\", alpha=\"0.07\", expect_size=\"25209856\"] \n  7 -> 9 [size =\"25209856\"]\n  8 [size=\"43004587\", alpha=\"0.19\", expect_size=\"12901376\"] \n  8 -> 10 [size =\"12901376\"]\n  9 [size=\"89098240\", alpha=\"0.10\", expect_size=\"26729472\"] \n  10 [size=\"170663253\", alpha=\"0.05\", expect_size=\"51198976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23762944\", alpha=\"0.18\", expect_size=\"11881472\"] \n  1 -> 8 [size =\"11881472\"]\n  2 [size=\"74983424\", alpha=\"0.02\", expect_size=\"37491712\"] \n  3 [size=\"37386240\", alpha=\"0.06\", expect_size=\"18693120\"] \n  3 -> 7 [size =\"18693120\"]\n  4 [size=\"22757376\", alpha=\"0.14\", expect_size=\"11378688\"] \n  4 -> 7 [size =\"11378688\"]\n  5 [size=\"57217024\", alpha=\"0.04\", expect_size=\"28608512\"] \n  5 -> 9 [size =\"28608512\"]\n  6 [size=\"19630080\", alpha=\"0.10\", expect_size=\"9815040\"] \n  6 -> 8 [size =\"9815040\"]\n  7 [size=\"53123072\", alpha=\"0.08\", expect_size=\"26561536\"] \n  8 [size=\"38551552\", alpha=\"0.03\", expect_size=\"19275776\"] \n  8 -> 10 [size =\"19275776\"]\n  9 [size=\"90951680\", alpha=\"0.14\", expect_size=\"45475840\"] \n  9 -> 10 [size =\"45475840\"]\n  10 [size=\"30285824\", alpha=\"0.18\", expect_size=\"15142912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94225067\", alpha=\"0.02\", expect_size=\"28267520\"] \n  1 -> 10 [size =\"28267520\"]\n  2 [size=\"148090880\", alpha=\"0.02\", expect_size=\"44427264\"] \n  2 -> 9 [size =\"44427264\"]\n  2 -> 10 [size =\"44427264\"]\n  3 [size=\"126484480\", alpha=\"0.09\", expect_size=\"37945344\"] \n  3 -> 7 [size =\"37945344\"]\n  3 -> 8 [size =\"37945344\"]\n  3 -> 10 [size =\"37945344\"]\n  4 [size=\"115230720\", alpha=\"0.11\", expect_size=\"34569216\"] \n  4 -> 7 [size =\"34569216\"]\n  4 -> 10 [size =\"34569216\"]\n  5 [size=\"125508267\", alpha=\"0.04\", expect_size=\"37652480\"] \n  5 -> 9 [size =\"37652480\"]\n  5 -> 10 [size =\"37652480\"]\n  6 [size=\"57350827\", alpha=\"0.04\", expect_size=\"17205248\"] \n  6 -> 7 [size =\"17205248\"]\n  6 -> 10 [size =\"17205248\"]\n  7 [size=\"121555627\", alpha=\"0.05\", expect_size=\"36466688\"] \n  8 [size=\"118132053\", alpha=\"0.12\", expect_size=\"35439616\"] \n  9 [size=\"107257173\", alpha=\"0.07\", expect_size=\"32177152\"] \n  10 [size=\"151261867\", alpha=\"0.06\", expect_size=\"45378560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93897387\", alpha=\"0.05\", expect_size=\"28169216\"] \n  1 -> 2 [size =\"28169216\"]\n  2 [size=\"37580800\", alpha=\"0.07\", expect_size=\"11274240\"] \n  2 -> 3 [size =\"11274240\"]\n  3 [size=\"23978667\", alpha=\"0.17\", expect_size=\"7193600\"] \n  3 -> 4 [size =\"7193600\"]\n  4 [size=\"21230933\", alpha=\"0.13\", expect_size=\"6369280\"] \n  4 -> 5 [size =\"6369280\"]\n  5 [size=\"117268480\", alpha=\"0.14\", expect_size=\"35180544\"] \n  5 -> 6 [size =\"35180544\"]\n  6 [size=\"101113173\", alpha=\"0.03\", expect_size=\"30333952\"] \n  6 -> 7 [size =\"30333952\"]\n  7 [size=\"96607573\", alpha=\"0.03\", expect_size=\"28982272\"] \n  7 -> 8 [size =\"28982272\"]\n  8 [size=\"122944853\", alpha=\"0.05\", expect_size=\"36883456\"] \n  8 -> 9 [size =\"36883456\"]\n  9 [size=\"31621120\", alpha=\"0.11\", expect_size=\"9486336\"] \n  9 -> 10 [size =\"9486336\"]\n  10 [size=\"51363840\", alpha=\"0.07\", expect_size=\"15409152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72378880\", alpha=\"0.11\", expect_size=\"28951552\"] \n  1 -> 2 [size =\"28951552\"]\n  2 [size=\"99072000\", alpha=\"0.15\", expect_size=\"39628800\"] \n  2 -> 3 [size =\"39628800\"]\n  3 [size=\"119462400\", alpha=\"0.05\", expect_size=\"47784960\"] \n  3 -> 4 [size =\"47784960\"]\n  4 [size=\"112688640\", alpha=\"0.05\", expect_size=\"45075456\"] \n  4 -> 5 [size =\"45075456\"]\n  5 [size=\"76362240\", alpha=\"0.13\", expect_size=\"30544896\"] \n  5 -> 6 [size =\"30544896\"]\n  6 [size=\"129400320\", alpha=\"0.10\", expect_size=\"51760128\"] \n  6 -> 7 [size =\"51760128\"]\n  7 [size=\"34670080\", alpha=\"0.18\", expect_size=\"13868032\"] \n  7 -> 8 [size =\"13868032\"]\n  8 [size=\"20879360\", alpha=\"0.02\", expect_size=\"8351744\"] \n  8 -> 9 [size =\"8351744\"]\n  9 [size=\"27740160\", alpha=\"0.06\", expect_size=\"11096064\"] \n  9 -> 10 [size =\"11096064\"]\n  10 [size=\"127505920\", alpha=\"0.04\", expect_size=\"51002368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64740693\", alpha=\"0.04\", expect_size=\"19422208\"] \n  1 -> 4 [size =\"19422208\"]\n  1 -> 5 [size =\"19422208\"]\n  1 -> 9 [size =\"19422208\"]\n  1 -> 9 [size =\"19422208\"]\n  2 [size=\"41287680\", alpha=\"0.17\", expect_size=\"12386304\"] \n  2 -> 7 [size =\"12386304\"]\n  2 -> 8 [size =\"12386304\"]\n  3 [size=\"20831573\", alpha=\"0.11\", expect_size=\"6249472\"] \n  3 -> 4 [size =\"6249472\"]\n  3 -> 6 [size =\"6249472\"]\n  3 -> 8 [size =\"6249472\"]\n  3 -> 9 [size =\"6249472\"]\n  3 -> 10 [size =\"6249472\"]\n  4 [size=\"31235413\", alpha=\"0.07\", expect_size=\"9370624\"] \n  5 [size=\"116602880\", alpha=\"0.15\", expect_size=\"34980864\"] \n  6 [size=\"148333227\", alpha=\"0.14\", expect_size=\"44499968\"] \n  7 [size=\"31283200\", alpha=\"0.09\", expect_size=\"9384960\"] \n  8 [size=\"73710933\", alpha=\"0.09\", expect_size=\"22113280\"] \n  9 [size=\"67676160\", alpha=\"0.08\", expect_size=\"20302848\"] \n  10 [size=\"131068587\", alpha=\"0.10\", expect_size=\"39320576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25023147\", alpha=\"0.03\", expect_size=\"7506944\"] \n  1 -> 2 [size =\"7506944\"]\n  2 [size=\"166072320\", alpha=\"0.12\", expect_size=\"49821696\"] \n  2 -> 3 [size =\"49821696\"]\n  3 [size=\"117889707\", alpha=\"0.11\", expect_size=\"35366912\"] \n  3 -> 4 [size =\"35366912\"]\n  4 [size=\"18049707\", alpha=\"0.20\", expect_size=\"5414912\"] \n  4 -> 5 [size =\"5414912\"]\n  5 [size=\"152999253\", alpha=\"0.02\", expect_size=\"45899776\"] \n  5 -> 6 [size =\"45899776\"]\n  6 [size=\"162112853\", alpha=\"0.06\", expect_size=\"48633856\"] \n  6 -> 7 [size =\"48633856\"]\n  7 [size=\"28829013\", alpha=\"0.18\", expect_size=\"8648704\"] \n  7 -> 8 [size =\"8648704\"]\n  8 [size=\"157767680\", alpha=\"0.06\", expect_size=\"47330304\"] \n  8 -> 9 [size =\"47330304\"]\n  9 [size=\"132966400\", alpha=\"0.08\", expect_size=\"39889920\"] \n  9 -> 10 [size =\"39889920\"]\n  10 [size=\"100611413\", alpha=\"0.10\", expect_size=\"30183424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52449280\", alpha=\"0.10\", expect_size=\"26224640\"] \n  1 -> 4 [size =\"26224640\"]\n  1 -> 5 [size =\"26224640\"]\n  2 [size=\"60098560\", alpha=\"0.16\", expect_size=\"30049280\"] \n  2 -> 4 [size =\"30049280\"]\n  3 [size=\"16310272\", alpha=\"0.19\", expect_size=\"8155136\"] \n  4 [size=\"61667328\", alpha=\"0.10\", expect_size=\"30833664\"] \n  4 -> 7 [size =\"30833664\"]\n  5 [size=\"104366080\", alpha=\"0.08\", expect_size=\"52183040\"] \n  5 -> 6 [size =\"52183040\"]\n  5 -> 7 [size =\"52183040\"]\n  6 [size=\"87822336\", alpha=\"0.02\", expect_size=\"43911168\"] \n  6 -> 8 [size =\"43911168\"]\n  6 -> 9 [size =\"43911168\"]\n  6 -> 10 [size =\"43911168\"]\n  7 [size=\"82040832\", alpha=\"0.11\", expect_size=\"41020416\"] \n  7 -> 8 [size =\"41020416\"]\n  7 -> 9 [size =\"41020416\"]\n  7 -> 10 [size =\"41020416\"]\n  8 [size=\"92372992\", alpha=\"0.04\", expect_size=\"46186496\"] \n  9 [size=\"33607680\", alpha=\"0.12\", expect_size=\"16803840\"] \n  10 [size=\"84031488\", alpha=\"0.12\", expect_size=\"42015744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22161408\", alpha=\"0.20\", expect_size=\"11080704\"] \n  1 -> 7 [size =\"11080704\"]\n  2 [size=\"80259072\", alpha=\"0.07\", expect_size=\"40129536\"] \n  3 [size=\"102234112\", alpha=\"0.01\", expect_size=\"51117056\"] \n  4 [size=\"34097152\", alpha=\"0.02\", expect_size=\"17048576\"] \n  4 -> 8 [size =\"17048576\"]\n  5 [size=\"98433024\", alpha=\"0.08\", expect_size=\"49216512\"] \n  5 -> 6 [size =\"49216512\"]\n  5 -> 9 [size =\"49216512\"]\n  6 [size=\"86390784\", alpha=\"0.10\", expect_size=\"43195392\"] \n  6 -> 10 [size =\"43195392\"]\n  7 [size=\"30654464\", alpha=\"0.02\", expect_size=\"15327232\"] \n  8 [size=\"11857920\", alpha=\"0.12\", expect_size=\"5928960\"] \n  9 [size=\"19193856\", alpha=\"0.02\", expect_size=\"9596928\"] \n  10 [size=\"89401344\", alpha=\"0.12\", expect_size=\"44700672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78610432\", alpha=\"0.14\", expect_size=\"39305216\"] \n  2 [size=\"97155072\", alpha=\"0.14\", expect_size=\"48577536\"] \n  3 [size=\"54454272\", alpha=\"0.02\", expect_size=\"27227136\"] \n  3 -> 9 [size =\"27227136\"]\n  4 [size=\"93874176\", alpha=\"0.15\", expect_size=\"46937088\"] \n  5 [size=\"16564224\", alpha=\"0.04\", expect_size=\"8282112\"] \n  5 -> 10 [size =\"8282112\"]\n  6 [size=\"52754432\", alpha=\"0.19\", expect_size=\"26377216\"] \n  6 -> 9 [size =\"26377216\"]\n  6 -> 10 [size =\"26377216\"]\n  7 [size=\"26427392\", alpha=\"0.01\", expect_size=\"13213696\"] \n  8 [size=\"41558016\", alpha=\"0.16\", expect_size=\"20779008\"] \n  8 -> 10 [size =\"20779008\"]\n  9 [size=\"57726976\", alpha=\"0.02\", expect_size=\"28863488\"] \n  10 [size=\"32829440\", alpha=\"0.02\", expect_size=\"16414720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86327296\", alpha=\"0.06\", expect_size=\"43163648\"] \n  1 -> 9 [size =\"43163648\"]\n  1 -> 10 [size =\"43163648\"]\n  2 [size=\"66977792\", alpha=\"0.11\", expect_size=\"33488896\"] \n  3 [size=\"89006080\", alpha=\"0.12\", expect_size=\"44503040\"] \n  4 [size=\"82188288\", alpha=\"0.02\", expect_size=\"41094144\"] \n  5 [size=\"54142976\", alpha=\"0.18\", expect_size=\"27071488\"] \n  5 -> 8 [size =\"27071488\"]\n  5 -> 10 [size =\"27071488\"]\n  6 [size=\"38230016\", alpha=\"0.08\", expect_size=\"19115008\"] \n  6 -> 7 [size =\"19115008\"]\n  6 -> 10 [size =\"19115008\"]\n  7 [size=\"59951104\", alpha=\"0.16\", expect_size=\"29975552\"] \n  8 [size=\"58589184\", alpha=\"0.15\", expect_size=\"29294592\"] \n  9 [size=\"102580224\", alpha=\"0.10\", expect_size=\"51290112\"] \n  10 [size=\"74311680\", alpha=\"0.11\", expect_size=\"37155840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159088640\", alpha=\"0.17\", expect_size=\"47726592\"] \n  1 -> 6 [size =\"47726592\"]\n  1 -> 8 [size =\"47726592\"]\n  2 [size=\"45632853\", alpha=\"0.11\", expect_size=\"13689856\"] \n  2 -> 6 [size =\"13689856\"]\n  2 -> 7 [size =\"13689856\"]\n  2 -> 9 [size =\"13689856\"]\n  3 [size=\"144206507\", alpha=\"0.04\", expect_size=\"43261952\"] \n  3 -> 7 [size =\"43261952\"]\n  4 [size=\"72441173\", alpha=\"0.11\", expect_size=\"21732352\"] \n  4 -> 9 [size =\"21732352\"]\n  5 [size=\"58934613\", alpha=\"0.19\", expect_size=\"17680384\"] \n  5 -> 6 [size =\"17680384\"]\n  5 -> 9 [size =\"17680384\"]\n  6 [size=\"107042133\", alpha=\"0.06\", expect_size=\"32112640\"] \n  6 -> 10 [size =\"32112640\"]\n  7 [size=\"162467840\", alpha=\"0.01\", expect_size=\"48740352\"] \n  8 [size=\"162635093\", alpha=\"0.18\", expect_size=\"48790528\"] \n  8 -> 10 [size =\"48790528\"]\n  9 [size=\"74536960\", alpha=\"0.07\", expect_size=\"22361088\"] \n  10 [size=\"62631253\", alpha=\"0.09\", expect_size=\"18789376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62305280\", alpha=\"0.08\", expect_size=\"24922112\"] \n  1 -> 4 [size =\"24922112\"]\n  1 -> 5 [size =\"24922112\"]\n  1 -> 6 [size =\"24922112\"]\n  2 [size=\"58659840\", alpha=\"0.10\", expect_size=\"23463936\"] \n  2 -> 4 [size =\"23463936\"]\n  2 -> 5 [size =\"23463936\"]\n  2 -> 6 [size =\"23463936\"]\n  3 [size=\"29360640\", alpha=\"0.03\", expect_size=\"11744256\"] \n  3 -> 4 [size =\"11744256\"]\n  3 -> 5 [size =\"11744256\"]\n  3 -> 6 [size =\"11744256\"]\n  4 [size=\"125998080\", alpha=\"0.14\", expect_size=\"50399232\"] \n  4 -> 8 [size =\"50399232\"]\n  5 [size=\"124974080\", alpha=\"0.09\", expect_size=\"49989632\"] \n  5 -> 7 [size =\"49989632\"]\n  6 [size=\"85672960\", alpha=\"0.01\", expect_size=\"34269184\"] \n  6 -> 7 [size =\"34269184\"]\n  7 [size=\"117150720\", alpha=\"0.18\", expect_size=\"46860288\"] \n  7 -> 9 [size =\"46860288\"]\n  7 -> 10 [size =\"46860288\"]\n  8 [size=\"37143040\", alpha=\"0.15\", expect_size=\"14857216\"] \n  8 -> 9 [size =\"14857216\"]\n  9 [size=\"129556480\", alpha=\"0.10\", expect_size=\"51822592\"] \n  10 [size=\"117934080\", alpha=\"0.19\", expect_size=\"47173632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76098560\", alpha=\"0.16\", expect_size=\"30439424\"] \n  1 -> 8 [size =\"30439424\"]\n  2 [size=\"41241600\", alpha=\"0.19\", expect_size=\"16496640\"] \n  2 -> 10 [size =\"16496640\"]\n  3 [size=\"47644160\", alpha=\"0.13\", expect_size=\"19057664\"] \n  4 [size=\"113067520\", alpha=\"0.11\", expect_size=\"45227008\"] \n  5 [size=\"13639680\", alpha=\"0.06\", expect_size=\"5455872\"] \n  5 -> 10 [size =\"5455872\"]\n  6 [size=\"15662080\", alpha=\"0.19\", expect_size=\"6264832\"] \n  6 -> 9 [size =\"6264832\"]\n  6 -> 10 [size =\"6264832\"]\n  7 [size=\"23541760\", alpha=\"0.05\", expect_size=\"9416704\"] \n  8 [size=\"17587200\", alpha=\"0.03\", expect_size=\"7034880\"] \n  9 [size=\"41085440\", alpha=\"0.03\", expect_size=\"16434176\"] \n  10 [size=\"24081920\", alpha=\"0.15\", expect_size=\"9632768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73953280\", alpha=\"0.15\", expect_size=\"36976640\"] \n  1 -> 2 [size =\"36976640\"]\n  2 [size=\"72812544\", alpha=\"0.00\", expect_size=\"36406272\"] \n  2 -> 3 [size =\"36406272\"]\n  3 [size=\"73764864\", alpha=\"0.15\", expect_size=\"36882432\"] \n  3 -> 4 [size =\"36882432\"]\n  4 [size=\"81991680\", alpha=\"0.15\", expect_size=\"40995840\"] \n  4 -> 5 [size =\"40995840\"]\n  5 [size=\"75393024\", alpha=\"0.06\", expect_size=\"37696512\"] \n  5 -> 6 [size =\"37696512\"]\n  6 [size=\"68501504\", alpha=\"0.11\", expect_size=\"34250752\"] \n  6 -> 7 [size =\"34250752\"]\n  7 [size=\"43532288\", alpha=\"0.20\", expect_size=\"21766144\"] \n  7 -> 8 [size =\"21766144\"]\n  8 [size=\"75046912\", alpha=\"0.12\", expect_size=\"37523456\"] \n  8 -> 9 [size =\"37523456\"]\n  9 [size=\"10883072\", alpha=\"0.06\", expect_size=\"5441536\"] \n  9 -> 10 [size =\"5441536\"]\n  10 [size=\"90535936\", alpha=\"0.14\", expect_size=\"45267968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91238400\", alpha=\"0.13\", expect_size=\"27371520\"] \n  1 -> 4 [size =\"27371520\"]\n  1 -> 5 [size =\"27371520\"]\n  1 -> 6 [size =\"27371520\"]\n  2 [size=\"29511680\", alpha=\"0.11\", expect_size=\"8853504\"] \n  2 -> 4 [size =\"8853504\"]\n  2 -> 5 [size =\"8853504\"]\n  3 [size=\"173882027\", alpha=\"0.10\", expect_size=\"52164608\"] \n  3 -> 7 [size =\"52164608\"]\n  4 [size=\"107700907\", alpha=\"0.20\", expect_size=\"32310272\"] \n  4 -> 8 [size =\"32310272\"]\n  4 -> 9 [size =\"32310272\"]\n  4 -> 10 [size =\"32310272\"]\n  5 [size=\"168041813\", alpha=\"0.02\", expect_size=\"50412544\"] \n  5 -> 8 [size =\"50412544\"]\n  5 -> 10 [size =\"50412544\"]\n  6 [size=\"117456213\", alpha=\"0.18\", expect_size=\"35236864\"] \n  7 [size=\"155999573\", alpha=\"0.11\", expect_size=\"46799872\"] \n  7 -> 8 [size =\"46799872\"]\n  8 [size=\"63109120\", alpha=\"0.03\", expect_size=\"18932736\"] \n  9 [size=\"169045333\", alpha=\"0.08\", expect_size=\"50713600\"] \n  10 [size=\"136970240\", alpha=\"0.17\", expect_size=\"41091072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97812480\", alpha=\"0.17\", expect_size=\"39124992\"] \n  1 -> 2 [size =\"39124992\"]\n  2 [size=\"57507840\", alpha=\"0.17\", expect_size=\"23003136\"] \n  2 -> 3 [size =\"23003136\"]\n  3 [size=\"120128000\", alpha=\"0.00\", expect_size=\"48051200\"] \n  3 -> 4 [size =\"48051200\"]\n  4 [size=\"62292480\", alpha=\"0.19\", expect_size=\"24916992\"] \n  4 -> 5 [size =\"24916992\"]\n  5 [size=\"14615040\", alpha=\"0.15\", expect_size=\"5846016\"] \n  5 -> 6 [size =\"5846016\"]\n  6 [size=\"77734400\", alpha=\"0.17\", expect_size=\"31093760\"] \n  6 -> 7 [size =\"31093760\"]\n  7 [size=\"41254400\", alpha=\"0.09\", expect_size=\"16501760\"] \n  7 -> 8 [size =\"16501760\"]\n  8 [size=\"73126400\", alpha=\"0.06\", expect_size=\"29250560\"] \n  8 -> 9 [size =\"29250560\"]\n  9 [size=\"26375680\", alpha=\"0.18\", expect_size=\"10550272\"] \n  9 -> 10 [size =\"10550272\"]\n  10 [size=\"60807680\", alpha=\"0.00\", expect_size=\"24323072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126215680\", alpha=\"0.15\", expect_size=\"50486272\"] \n  1 -> 6 [size =\"50486272\"]\n  1 -> 8 [size =\"50486272\"]\n  2 [size=\"14248960\", alpha=\"0.07\", expect_size=\"5699584\"] \n  2 -> 6 [size =\"5699584\"]\n  2 -> 8 [size =\"5699584\"]\n  2 -> 9 [size =\"5699584\"]\n  3 [size=\"41710080\", alpha=\"0.15\", expect_size=\"16684032\"] \n  3 -> 8 [size =\"16684032\"]\n  3 -> 9 [size =\"16684032\"]\n  3 -> 10 [size =\"16684032\"]\n  4 [size=\"30773760\", alpha=\"0.20\", expect_size=\"12309504\"] \n  4 -> 7 [size =\"12309504\"]\n  5 [size=\"124743680\", alpha=\"0.05\", expect_size=\"49897472\"] \n  5 -> 6 [size =\"49897472\"]\n  5 -> 8 [size =\"49897472\"]\n  5 -> 9 [size =\"49897472\"]\n  6 [size=\"30446080\", alpha=\"0.15\", expect_size=\"12178432\"] \n  7 [size=\"93463040\", alpha=\"0.08\", expect_size=\"37385216\"] \n  8 [size=\"15936000\", alpha=\"0.00\", expect_size=\"6374400\"] \n  9 [size=\"64560640\", alpha=\"0.08\", expect_size=\"25824256\"] \n  10 [size=\"87326720\", alpha=\"0.08\", expect_size=\"34930688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116927147\", alpha=\"0.05\", expect_size=\"35078144\"] \n  2 [size=\"85797547\", alpha=\"0.10\", expect_size=\"25739264\"] \n  2 -> 4 [size =\"25739264\"]\n  2 -> 7 [size =\"25739264\"]\n  3 [size=\"58463573\", alpha=\"0.10\", expect_size=\"17539072\"] \n  3 -> 4 [size =\"17539072\"]\n  3 -> 5 [size =\"17539072\"]\n  3 -> 6 [size =\"17539072\"]\n  3 -> 7 [size =\"17539072\"]\n  4 [size=\"31467520\", alpha=\"0.14\", expect_size=\"9440256\"] \n  5 [size=\"39522987\", alpha=\"0.06\", expect_size=\"11856896\"] \n  5 -> 8 [size =\"11856896\"]\n  6 [size=\"28818773\", alpha=\"0.04\", expect_size=\"8645632\"] \n  7 [size=\"148558507\", alpha=\"0.13\", expect_size=\"44567552\"] \n  7 -> 8 [size =\"44567552\"]\n  8 [size=\"92405760\", alpha=\"0.03\", expect_size=\"27721728\"] \n  8 -> 9 [size =\"27721728\"]\n  8 -> 10 [size =\"27721728\"]\n  9 [size=\"115367253\", alpha=\"0.19\", expect_size=\"34610176\"] \n  10 [size=\"69205333\", alpha=\"0.00\", expect_size=\"20761600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16030720\", alpha=\"0.08\", expect_size=\"6412288\"] \n  1 -> 6 [size =\"6412288\"]\n  1 -> 7 [size =\"6412288\"]\n  1 -> 8 [size =\"6412288\"]\n  1 -> 9 [size =\"6412288\"]\n  2 [size=\"126202880\", alpha=\"0.09\", expect_size=\"50481152\"] \n  2 -> 5 [size =\"50481152\"]\n  2 -> 6 [size =\"50481152\"]\n  2 -> 7 [size =\"50481152\"]\n  2 -> 8 [size =\"50481152\"]\n  2 -> 9 [size =\"50481152\"]\n  3 [size=\"91522560\", alpha=\"0.16\", expect_size=\"36609024\"] \n  3 -> 5 [size =\"36609024\"]\n  3 -> 6 [size =\"36609024\"]\n  3 -> 8 [size =\"36609024\"]\n  3 -> 9 [size =\"36609024\"]\n  4 [size=\"104627200\", alpha=\"0.08\", expect_size=\"41850880\"] \n  4 -> 5 [size =\"41850880\"]\n  4 -> 6 [size =\"41850880\"]\n  4 -> 7 [size =\"41850880\"]\n  4 -> 8 [size =\"41850880\"]\n  5 [size=\"86789120\", alpha=\"0.14\", expect_size=\"34715648\"] \n  6 [size=\"92170240\", alpha=\"0.10\", expect_size=\"36868096\"] \n  6 -> 10 [size =\"36868096\"]\n  7 [size=\"107668480\", alpha=\"0.00\", expect_size=\"43067392\"] \n  7 -> 10 [size =\"43067392\"]\n  8 [size=\"85265920\", alpha=\"0.16\", expect_size=\"34106368\"] \n  8 -> 10 [size =\"34106368\"]\n  9 [size=\"14254080\", alpha=\"0.08\", expect_size=\"5701632\"] \n  9 -> 10 [size =\"5701632\"]\n  10 [size=\"32757760\", alpha=\"0.02\", expect_size=\"13103104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153224533\", alpha=\"0.04\", expect_size=\"45967360\"] \n  1 -> 4 [size =\"45967360\"]\n  1 -> 6 [size =\"45967360\"]\n  2 [size=\"113162240\", alpha=\"0.07\", expect_size=\"33948672\"] \n  2 -> 4 [size =\"33948672\"]\n  2 -> 5 [size =\"33948672\"]\n  2 -> 6 [size =\"33948672\"]\n  3 [size=\"141960533\", alpha=\"0.12\", expect_size=\"42588160\"] \n  3 -> 4 [size =\"42588160\"]\n  3 -> 5 [size =\"42588160\"]\n  3 -> 6 [size =\"42588160\"]\n  4 [size=\"141428053\", alpha=\"0.01\", expect_size=\"42428416\"] \n  4 -> 7 [size =\"42428416\"]\n  5 [size=\"152354133\", alpha=\"0.01\", expect_size=\"45706240\"] \n  5 -> 7 [size =\"45706240\"]\n  5 -> 8 [size =\"45706240\"]\n  6 [size=\"50380800\", alpha=\"0.08\", expect_size=\"15114240\"] \n  6 -> 7 [size =\"15114240\"]\n  6 -> 8 [size =\"15114240\"]\n  7 [size=\"38400000\", alpha=\"0.01\", expect_size=\"11520000\"] \n  7 -> 9 [size =\"11520000\"]\n  8 [size=\"77308587\", alpha=\"0.18\", expect_size=\"23192576\"] \n  8 -> 9 [size =\"23192576\"]\n  8 -> 10 [size =\"23192576\"]\n  9 [size=\"171212800\", alpha=\"0.18\", expect_size=\"51363840\"] \n  10 [size=\"114227200\", alpha=\"0.03\", expect_size=\"34268160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112223573\", alpha=\"0.18\", expect_size=\"33667072\"] \n  1 -> 2 [size =\"33667072\"]\n  2 [size=\"129938773\", alpha=\"0.10\", expect_size=\"38981632\"] \n  2 -> 3 [size =\"38981632\"]\n  3 [size=\"60514987\", alpha=\"0.00\", expect_size=\"18154496\"] \n  3 -> 4 [size =\"18154496\"]\n  4 [size=\"49418240\", alpha=\"0.20\", expect_size=\"14825472\"] \n  4 -> 5 [size =\"14825472\"]\n  5 [size=\"128877227\", alpha=\"0.18\", expect_size=\"38663168\"] \n  5 -> 6 [size =\"38663168\"]\n  6 [size=\"132048213\", alpha=\"0.05\", expect_size=\"39614464\"] \n  6 -> 7 [size =\"39614464\"]\n  7 [size=\"45666987\", alpha=\"0.15\", expect_size=\"13700096\"] \n  7 -> 8 [size =\"13700096\"]\n  8 [size=\"90053973\", alpha=\"0.13\", expect_size=\"27016192\"] \n  8 -> 9 [size =\"27016192\"]\n  9 [size=\"33426773\", alpha=\"0.04\", expect_size=\"10028032\"] \n  9 -> 10 [size =\"10028032\"]\n  10 [size=\"91262293\", alpha=\"0.03\", expect_size=\"27378688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116705280\", alpha=\"0.15\", expect_size=\"46682112\"] \n  1 -> 10 [size =\"46682112\"]\n  2 [size=\"104424960\", alpha=\"0.14\", expect_size=\"41769984\"] \n  2 -> 10 [size =\"41769984\"]\n  3 [size=\"34792960\", alpha=\"0.06\", expect_size=\"13917184\"] \n  3 -> 10 [size =\"13917184\"]\n  4 [size=\"124218880\", alpha=\"0.18\", expect_size=\"49687552\"] \n  4 -> 10 [size =\"49687552\"]\n  5 [size=\"116398080\", alpha=\"0.04\", expect_size=\"46559232\"] \n  6 [size=\"43412480\", alpha=\"0.11\", expect_size=\"17364992\"] \n  7 [size=\"43197440\", alpha=\"0.11\", expect_size=\"17278976\"] \n  7 -> 10 [size =\"17278976\"]\n  8 [size=\"129543680\", alpha=\"0.07\", expect_size=\"51817472\"] \n  9 [size=\"25768960\", alpha=\"0.13\", expect_size=\"10307584\"] \n  9 -> 10 [size =\"10307584\"]\n  10 [size=\"28636160\", alpha=\"0.10\", expect_size=\"11454464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129244160\", alpha=\"0.12\", expect_size=\"51697664\"] \n  1 -> 8 [size =\"51697664\"]\n  1 -> 10 [size =\"51697664\"]\n  2 [size=\"38707200\", alpha=\"0.16\", expect_size=\"15482880\"] \n  2 -> 8 [size =\"15482880\"]\n  3 [size=\"107051520\", alpha=\"0.07\", expect_size=\"42820608\"] \n  3 -> 8 [size =\"42820608\"]\n  4 [size=\"44672000\", alpha=\"0.10\", expect_size=\"17868800\"] \n  4 -> 9 [size =\"17868800\"]\n  5 [size=\"55700480\", alpha=\"0.02\", expect_size=\"22280192\"] \n  5 -> 9 [size =\"22280192\"]\n  6 [size=\"47083520\", alpha=\"0.17\", expect_size=\"18833408\"] \n  6 -> 8 [size =\"18833408\"]\n  6 -> 9 [size =\"18833408\"]\n  7 [size=\"119600640\", alpha=\"0.09\", expect_size=\"47840256\"] \n  7 -> 8 [size =\"47840256\"]\n  8 [size=\"40545280\", alpha=\"0.06\", expect_size=\"16218112\"] \n  9 [size=\"75683840\", alpha=\"0.07\", expect_size=\"30273536\"] \n  10 [size=\"103132160\", alpha=\"0.18\", expect_size=\"41252864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23109120\", alpha=\"0.13\", expect_size=\"9243648\"] \n  2 [size=\"112867840\", alpha=\"0.08\", expect_size=\"45147136\"] \n  2 -> 6 [size =\"45147136\"]\n  2 -> 8 [size =\"45147136\"]\n  3 [size=\"112256000\", alpha=\"0.02\", expect_size=\"44902400\"] \n  4 [size=\"70220800\", alpha=\"0.07\", expect_size=\"28088320\"] \n  4 -> 6 [size =\"28088320\"]\n  5 [size=\"107351040\", alpha=\"0.06\", expect_size=\"42940416\"] \n  5 -> 7 [size =\"42940416\"]\n  6 [size=\"97182720\", alpha=\"0.01\", expect_size=\"38873088\"] \n  6 -> 10 [size =\"38873088\"]\n  7 [size=\"99394560\", alpha=\"0.10\", expect_size=\"39757824\"] \n  7 -> 9 [size =\"39757824\"]\n  7 -> 10 [size =\"39757824\"]\n  8 [size=\"65428480\", alpha=\"0.09\", expect_size=\"26171392\"] \n  9 [size=\"21068800\", alpha=\"0.18\", expect_size=\"8427520\"] \n  10 [size=\"82337280\", alpha=\"0.19\", expect_size=\"32934912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111815680\", alpha=\"0.11\", expect_size=\"44726272\"] \n  1 -> 4 [size =\"44726272\"]\n  1 -> 5 [size =\"44726272\"]\n  1 -> 6 [size =\"44726272\"]\n  2 [size=\"68577280\", alpha=\"0.10\", expect_size=\"27430912\"] \n  2 -> 4 [size =\"27430912\"]\n  2 -> 6 [size =\"27430912\"]\n  3 [size=\"115630080\", alpha=\"0.06\", expect_size=\"46252032\"] \n  3 -> 4 [size =\"46252032\"]\n  4 [size=\"37219840\", alpha=\"0.04\", expect_size=\"14887936\"] \n  4 -> 7 [size =\"14887936\"]\n  4 -> 8 [size =\"14887936\"]\n  5 [size=\"108992000\", alpha=\"0.02\", expect_size=\"43596800\"] \n  5 -> 7 [size =\"43596800\"]\n  5 -> 8 [size =\"43596800\"]\n  6 [size=\"72878080\", alpha=\"0.17\", expect_size=\"29151232\"] \n  6 -> 7 [size =\"29151232\"]\n  6 -> 8 [size =\"29151232\"]\n  7 [size=\"102597120\", alpha=\"0.18\", expect_size=\"41038848\"] \n  7 -> 9 [size =\"41038848\"]\n  8 [size=\"97825280\", alpha=\"0.09\", expect_size=\"39130112\"] \n  8 -> 9 [size =\"39130112\"]\n  8 -> 10 [size =\"39130112\"]\n  9 [size=\"39188480\", alpha=\"0.16\", expect_size=\"15675392\"] \n  10 [size=\"98708480\", alpha=\"0.00\", expect_size=\"39483392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93491200\", alpha=\"0.02\", expect_size=\"46745600\"] \n  1 -> 2 [size =\"46745600\"]\n  2 [size=\"38623232\", alpha=\"0.13\", expect_size=\"19311616\"] \n  2 -> 3 [size =\"19311616\"]\n  3 [size=\"73216000\", alpha=\"0.10\", expect_size=\"36608000\"] \n  3 -> 4 [size =\"36608000\"]\n  4 [size=\"87611392\", alpha=\"0.19\", expect_size=\"43805696\"] \n  4 -> 5 [size =\"43805696\"]\n  5 [size=\"24551424\", alpha=\"0.07\", expect_size=\"12275712\"] \n  5 -> 6 [size =\"12275712\"]\n  6 [size=\"72685568\", alpha=\"0.17\", expect_size=\"36342784\"] \n  6 -> 7 [size =\"36342784\"]\n  7 [size=\"94054400\", alpha=\"0.01\", expect_size=\"47027200\"] \n  7 -> 8 [size =\"47027200\"]\n  8 [size=\"67416064\", alpha=\"0.07\", expect_size=\"33708032\"] \n  8 -> 9 [size =\"33708032\"]\n  9 [size=\"54366208\", alpha=\"0.17\", expect_size=\"27183104\"] \n  9 -> 10 [size =\"27183104\"]\n  10 [size=\"34123776\", alpha=\"0.10\", expect_size=\"17061888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95684608\", alpha=\"0.01\", expect_size=\"47842304\"] \n  1 -> 9 [size =\"47842304\"]\n  2 [size=\"55797760\", alpha=\"0.03\", expect_size=\"27898880\"] \n  3 [size=\"32778240\", alpha=\"0.08\", expect_size=\"16389120\"] \n  3 -> 9 [size =\"16389120\"]\n  3 -> 10 [size =\"16389120\"]\n  4 [size=\"15955968\", alpha=\"0.18\", expect_size=\"7977984\"] \n  4 -> 9 [size =\"7977984\"]\n  5 [size=\"37687296\", alpha=\"0.01\", expect_size=\"18843648\"] \n  6 [size=\"94994432\", alpha=\"0.13\", expect_size=\"47497216\"] \n  6 -> 10 [size =\"47497216\"]\n  7 [size=\"102385664\", alpha=\"0.01\", expect_size=\"51192832\"] \n  7 -> 9 [size =\"51192832\"]\n  8 [size=\"75819008\", alpha=\"0.12\", expect_size=\"37909504\"] \n  9 [size=\"76326912\", alpha=\"0.01\", expect_size=\"38163456\"] \n  10 [size=\"35117056\", alpha=\"0.20\", expect_size=\"17558528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19039573\", alpha=\"0.19\", expect_size=\"5711872\"] \n  1 -> 10 [size =\"5711872\"]\n  2 [size=\"162792107\", alpha=\"0.05\", expect_size=\"48837632\"] \n  2 -> 7 [size =\"48837632\"]\n  2 -> 9 [size =\"48837632\"]\n  2 -> 10 [size =\"48837632\"]\n  3 [size=\"151111680\", alpha=\"0.08\", expect_size=\"45333504\"] \n  3 -> 7 [size =\"45333504\"]\n  3 -> 10 [size =\"45333504\"]\n  4 [size=\"156607147\", alpha=\"0.10\", expect_size=\"46982144\"] \n  4 -> 8 [size =\"46982144\"]\n  5 [size=\"139335680\", alpha=\"0.08\", expect_size=\"41800704\"] \n  5 -> 7 [size =\"41800704\"]\n  6 [size=\"163430400\", alpha=\"0.19\", expect_size=\"49029120\"] \n  6 -> 8 [size =\"49029120\"]\n  7 [size=\"115496960\", alpha=\"0.19\", expect_size=\"34649088\"] \n  8 [size=\"86705493\", alpha=\"0.12\", expect_size=\"26011648\"] \n  9 [size=\"36980053\", alpha=\"0.05\", expect_size=\"11094016\"] \n  10 [size=\"79912960\", alpha=\"0.08\", expect_size=\"23973888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85056000\", alpha=\"0.06\", expect_size=\"34022400\"] \n  1 -> 7 [size =\"34022400\"]\n  1 -> 9 [size =\"34022400\"]\n  2 [size=\"55485440\", alpha=\"0.06\", expect_size=\"22194176\"] \n  2 -> 8 [size =\"22194176\"]\n  2 -> 10 [size =\"22194176\"]\n  3 [size=\"66562560\", alpha=\"0.09\", expect_size=\"26625024\"] \n  3 -> 7 [size =\"26625024\"]\n  4 [size=\"36646400\", alpha=\"0.02\", expect_size=\"14658560\"] \n  4 -> 7 [size =\"14658560\"]\n  5 [size=\"101286400\", alpha=\"0.15\", expect_size=\"40514560\"] \n  5 -> 9 [size =\"40514560\"]\n  6 [size=\"124474880\", alpha=\"0.06\", expect_size=\"49789952\"] \n  7 [size=\"101957120\", alpha=\"0.17\", expect_size=\"40782848\"] \n  8 [size=\"91540480\", alpha=\"0.00\", expect_size=\"36616192\"] \n  9 [size=\"74769920\", alpha=\"0.09\", expect_size=\"29907968\"] \n  10 [size=\"131054080\", alpha=\"0.16\", expect_size=\"52421632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68474880\", alpha=\"0.16\", expect_size=\"27389952\"] \n  1 -> 2 [size =\"27389952\"]\n  2 [size=\"99087360\", alpha=\"0.17\", expect_size=\"39634944\"] \n  2 -> 3 [size =\"39634944\"]\n  3 [size=\"88256000\", alpha=\"0.01\", expect_size=\"35302400\"] \n  3 -> 4 [size =\"35302400\"]\n  4 [size=\"88020480\", alpha=\"0.18\", expect_size=\"35208192\"] \n  4 -> 5 [size =\"35208192\"]\n  5 [size=\"48366080\", alpha=\"0.14\", expect_size=\"19346432\"] \n  5 -> 6 [size =\"19346432\"]\n  6 [size=\"75151360\", alpha=\"0.09\", expect_size=\"30060544\"] \n  6 -> 7 [size =\"30060544\"]\n  7 [size=\"32476160\", alpha=\"0.00\", expect_size=\"12990464\"] \n  7 -> 8 [size =\"12990464\"]\n  8 [size=\"102289920\", alpha=\"0.05\", expect_size=\"40915968\"] \n  8 -> 9 [size =\"40915968\"]\n  9 [size=\"35179520\", alpha=\"0.01\", expect_size=\"14071808\"] \n  9 -> 10 [size =\"14071808\"]\n  10 [size=\"56885760\", alpha=\"0.13\", expect_size=\"22754304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56033280\", alpha=\"0.12\", expect_size=\"28016640\"] \n  1 -> 2 [size =\"28016640\"]\n  2 [size=\"88387584\", alpha=\"0.15\", expect_size=\"44193792\"] \n  2 -> 3 [size =\"44193792\"]\n  3 [size=\"56893440\", alpha=\"0.08\", expect_size=\"28446720\"] \n  3 -> 4 [size =\"28446720\"]\n  4 [size=\"52789248\", alpha=\"0.20\", expect_size=\"26394624\"] \n  4 -> 5 [size =\"26394624\"]\n  5 [size=\"75759616\", alpha=\"0.13\", expect_size=\"37879808\"] \n  5 -> 6 [size =\"37879808\"]\n  6 [size=\"54724608\", alpha=\"0.16\", expect_size=\"27362304\"] \n  6 -> 7 [size =\"27362304\"]\n  7 [size=\"41615360\", alpha=\"0.04\", expect_size=\"20807680\"] \n  7 -> 8 [size =\"20807680\"]\n  8 [size=\"23130112\", alpha=\"0.01\", expect_size=\"11565056\"] \n  8 -> 9 [size =\"11565056\"]\n  9 [size=\"29351936\", alpha=\"0.16\", expect_size=\"14675968\"] \n  9 -> 10 [size =\"14675968\"]\n  10 [size=\"67057664\", alpha=\"0.10\", expect_size=\"33528832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86814720\", alpha=\"0.04\", expect_size=\"34725888\"] \n  1 -> 2 [size =\"34725888\"]\n  2 [size=\"51189760\", alpha=\"0.18\", expect_size=\"20475904\"] \n  2 -> 3 [size =\"20475904\"]\n  3 [size=\"29864960\", alpha=\"0.08\", expect_size=\"11945984\"] \n  3 -> 4 [size =\"11945984\"]\n  4 [size=\"17011200\", alpha=\"0.12\", expect_size=\"6804480\"] \n  4 -> 5 [size =\"6804480\"]\n  5 [size=\"86423040\", alpha=\"0.17\", expect_size=\"34569216\"] \n  5 -> 6 [size =\"34569216\"]\n  6 [size=\"36244480\", alpha=\"0.13\", expect_size=\"14497792\"] \n  6 -> 7 [size =\"14497792\"]\n  7 [size=\"116336640\", alpha=\"0.10\", expect_size=\"46534656\"] \n  7 -> 8 [size =\"46534656\"]\n  8 [size=\"116433920\", alpha=\"0.10\", expect_size=\"46573568\"] \n  8 -> 9 [size =\"46573568\"]\n  9 [size=\"31777280\", alpha=\"0.10\", expect_size=\"12710912\"] \n  9 -> 10 [size =\"12710912\"]\n  10 [size=\"42649600\", alpha=\"0.01\", expect_size=\"17059840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164539733\", alpha=\"0.08\", expect_size=\"49361920\"] \n  1 -> 8 [size =\"49361920\"]\n  2 [size=\"126812160\", alpha=\"0.02\", expect_size=\"38043648\"] \n  2 -> 9 [size =\"38043648\"]\n  3 [size=\"64522240\", alpha=\"0.20\", expect_size=\"19356672\"] \n  3 -> 9 [size =\"19356672\"]\n  4 [size=\"46789973\", alpha=\"0.19\", expect_size=\"14036992\"] \n  4 -> 8 [size =\"14036992\"]\n  4 -> 10 [size =\"14036992\"]\n  5 [size=\"51360427\", alpha=\"0.17\", expect_size=\"15408128\"] \n  5 -> 8 [size =\"15408128\"]\n  6 [size=\"25545387\", alpha=\"0.15\", expect_size=\"7663616\"] \n  6 -> 10 [size =\"7663616\"]\n  7 [size=\"50954240\", alpha=\"0.12\", expect_size=\"15286272\"] \n  7 -> 8 [size =\"15286272\"]\n  8 [size=\"162440533\", alpha=\"0.19\", expect_size=\"48732160\"] \n  9 [size=\"145923413\", alpha=\"0.00\", expect_size=\"43777024\"] \n  10 [size=\"84227413\", alpha=\"0.11\", expect_size=\"25268224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17868800\", alpha=\"0.06\", expect_size=\"7147520\"] \n  1 -> 9 [size =\"7147520\"]\n  1 -> 10 [size =\"7147520\"]\n  2 [size=\"29276160\", alpha=\"0.04\", expect_size=\"11710464\"] \n  2 -> 9 [size =\"11710464\"]\n  2 -> 10 [size =\"11710464\"]\n  3 [size=\"61550080\", alpha=\"0.10\", expect_size=\"24620032\"] \n  3 -> 10 [size =\"24620032\"]\n  3 -> 10 [size =\"24620032\"]\n  4 [size=\"14417920\", alpha=\"0.01\", expect_size=\"5767168\"] \n  4 -> 9 [size =\"5767168\"]\n  4 -> 10 [size =\"5767168\"]\n  5 [size=\"36710400\", alpha=\"0.14\", expect_size=\"14684160\"] \n  5 -> 8 [size =\"14684160\"]\n  5 -> 9 [size =\"14684160\"]\n  6 [size=\"81756160\", alpha=\"0.02\", expect_size=\"32702464\"] \n  6 -> 8 [size =\"32702464\"]\n  7 [size=\"55633920\", alpha=\"0.10\", expect_size=\"22253568\"] \n  7 -> 9 [size =\"22253568\"]\n  7 -> 10 [size =\"22253568\"]\n  8 [size=\"32903680\", alpha=\"0.18\", expect_size=\"13161472\"] \n  9 [size=\"41574400\", alpha=\"0.04\", expect_size=\"16629760\"] \n  10 [size=\"20026880\", alpha=\"0.19\", expect_size=\"8010752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24143872\", alpha=\"0.13\", expect_size=\"12071936\"] \n  1 -> 7 [size =\"12071936\"]\n  1 -> 10 [size =\"12071936\"]\n  2 [size=\"17813504\", alpha=\"0.06\", expect_size=\"8906752\"] \n  2 -> 8 [size =\"8906752\"]\n  3 [size=\"12412928\", alpha=\"0.11\", expect_size=\"6206464\"] \n  3 -> 7 [size =\"6206464\"]\n  3 -> 8 [size =\"6206464\"]\n  3 -> 9 [size =\"6206464\"]\n  3 -> 10 [size =\"6206464\"]\n  4 [size=\"41961472\", alpha=\"0.03\", expect_size=\"20980736\"] \n  4 -> 7 [size =\"20980736\"]\n  4 -> 8 [size =\"20980736\"]\n  4 -> 9 [size =\"20980736\"]\n  5 [size=\"27637760\", alpha=\"0.02\", expect_size=\"13818880\"] \n  5 -> 10 [size =\"13818880\"]\n  6 [size=\"20746240\", alpha=\"0.18\", expect_size=\"10373120\"] \n  6 -> 8 [size =\"10373120\"]\n  6 -> 10 [size =\"10373120\"]\n  7 [size=\"10792960\", alpha=\"0.08\", expect_size=\"5396480\"] \n  8 [size=\"96159744\", alpha=\"0.07\", expect_size=\"48079872\"] \n  9 [size=\"72615936\", alpha=\"0.18\", expect_size=\"36307968\"] \n  10 [size=\"74993664\", alpha=\"0.17\", expect_size=\"37496832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81047552\", alpha=\"0.10\", expect_size=\"40523776\"] \n  2 [size=\"59203584\", alpha=\"0.17\", expect_size=\"29601792\"] \n  3 [size=\"22511616\", alpha=\"0.01\", expect_size=\"11255808\"] \n  3 -> 9 [size =\"11255808\"]\n  4 [size=\"24846336\", alpha=\"0.15\", expect_size=\"12423168\"] \n  4 -> 9 [size =\"12423168\"]\n  5 [size=\"25427968\", alpha=\"0.09\", expect_size=\"12713984\"] \n  5 -> 9 [size =\"12713984\"]\n  6 [size=\"69824512\", alpha=\"0.05\", expect_size=\"34912256\"] \n  6 -> 9 [size =\"34912256\"]\n  7 [size=\"23435264\", alpha=\"0.16\", expect_size=\"11717632\"] \n  7 -> 10 [size =\"11717632\"]\n  8 [size=\"23369728\", alpha=\"0.16\", expect_size=\"11684864\"] \n  9 [size=\"63420416\", alpha=\"0.01\", expect_size=\"31710208\"] \n  10 [size=\"37863424\", alpha=\"0.14\", expect_size=\"18931712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73140907\", alpha=\"0.18\", expect_size=\"21942272\"] \n  1 -> 8 [size =\"21942272\"]\n  2 [size=\"168345600\", alpha=\"0.09\", expect_size=\"50503680\"] \n  2 -> 7 [size =\"50503680\"]\n  3 [size=\"133908480\", alpha=\"0.01\", expect_size=\"40172544\"] \n  3 -> 7 [size =\"40172544\"]\n  3 -> 8 [size =\"40172544\"]\n  3 -> 9 [size =\"40172544\"]\n  3 -> 10 [size =\"40172544\"]\n  4 [size=\"92736853\", alpha=\"0.17\", expect_size=\"27821056\"] \n  4 -> 7 [size =\"27821056\"]\n  5 [size=\"40270507\", alpha=\"0.16\", expect_size=\"12081152\"] \n  5 -> 9 [size =\"12081152\"]\n  6 [size=\"42922667\", alpha=\"0.01\", expect_size=\"12876800\"] \n  6 -> 8 [size =\"12876800\"]\n  7 [size=\"62730240\", alpha=\"0.04\", expect_size=\"18819072\"] \n  8 [size=\"78209707\", alpha=\"0.05\", expect_size=\"23462912\"] \n  9 [size=\"94504960\", alpha=\"0.05\", expect_size=\"28351488\"] \n  10 [size=\"85005653\", alpha=\"0.13\", expect_size=\"25501696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48334848\", alpha=\"0.01\", expect_size=\"24167424\"] \n  1 -> 2 [size =\"24167424\"]\n  1 -> 3 [size =\"24167424\"]\n  1 -> 4 [size =\"24167424\"]\n  2 [size=\"43655168\", alpha=\"0.02\", expect_size=\"21827584\"] \n  3 [size=\"39045120\", alpha=\"0.09\", expect_size=\"19522560\"] \n  3 -> 6 [size =\"19522560\"]\n  4 [size=\"69812224\", alpha=\"0.03\", expect_size=\"34906112\"] \n  4 -> 5 [size =\"34906112\"]\n  5 [size=\"28520448\", alpha=\"0.08\", expect_size=\"14260224\"] \n  5 -> 7 [size =\"14260224\"]\n  5 -> 8 [size =\"14260224\"]\n  6 [size=\"98598912\", alpha=\"0.13\", expect_size=\"49299456\"] \n  6 -> 7 [size =\"49299456\"]\n  6 -> 8 [size =\"49299456\"]\n  7 [size=\"69965824\", alpha=\"0.05\", expect_size=\"34982912\"] \n  7 -> 9 [size =\"34982912\"]\n  8 [size=\"49377280\", alpha=\"0.09\", expect_size=\"24688640\"] \n  8 -> 10 [size =\"24688640\"]\n  9 [size=\"16259072\", alpha=\"0.11\", expect_size=\"8129536\"] \n  10 [size=\"89249792\", alpha=\"0.19\", expect_size=\"44624896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26309120\", alpha=\"0.14\", expect_size=\"10523648\"] \n  1 -> 2 [size =\"10523648\"]\n  2 [size=\"77591040\", alpha=\"0.13\", expect_size=\"31036416\"] \n  2 -> 3 [size =\"31036416\"]\n  3 [size=\"16675840\", alpha=\"0.02\", expect_size=\"6670336\"] \n  3 -> 4 [size =\"6670336\"]\n  4 [size=\"37852160\", alpha=\"0.15\", expect_size=\"15140864\"] \n  4 -> 5 [size =\"15140864\"]\n  5 [size=\"75223040\", alpha=\"0.07\", expect_size=\"30089216\"] \n  5 -> 6 [size =\"30089216\"]\n  6 [size=\"33669120\", alpha=\"0.01\", expect_size=\"13467648\"] \n  6 -> 7 [size =\"13467648\"]\n  7 [size=\"86266880\", alpha=\"0.07\", expect_size=\"34506752\"] \n  7 -> 8 [size =\"34506752\"]\n  8 [size=\"124098560\", alpha=\"0.18\", expect_size=\"49639424\"] \n  8 -> 9 [size =\"49639424\"]\n  9 [size=\"70620160\", alpha=\"0.15\", expect_size=\"28248064\"] \n  9 -> 10 [size =\"28248064\"]\n  10 [size=\"65075200\", alpha=\"0.14\", expect_size=\"26030080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126078293\", alpha=\"0.16\", expect_size=\"37823488\"] \n  1 -> 5 [size =\"37823488\"]\n  1 -> 6 [size =\"37823488\"]\n  1 -> 8 [size =\"37823488\"]\n  2 [size=\"45670400\", alpha=\"0.12\", expect_size=\"13701120\"] \n  2 -> 4 [size =\"13701120\"]\n  2 -> 9 [size =\"13701120\"]\n  3 [size=\"77916160\", alpha=\"0.09\", expect_size=\"23374848\"] \n  3 -> 6 [size =\"23374848\"]\n  3 -> 7 [size =\"23374848\"]\n  3 -> 8 [size =\"23374848\"]\n  3 -> 9 [size =\"23374848\"]\n  4 [size=\"21865813\", alpha=\"0.12\", expect_size=\"6559744\"] \n  5 [size=\"110824107\", alpha=\"0.05\", expect_size=\"33247232\"] \n  6 [size=\"98826240\", alpha=\"0.05\", expect_size=\"29647872\"] \n  6 -> 10 [size =\"29647872\"]\n  7 [size=\"75482453\", alpha=\"0.12\", expect_size=\"22644736\"] \n  8 [size=\"150285653\", alpha=\"0.05\", expect_size=\"45085696\"] \n  9 [size=\"87944533\", alpha=\"0.06\", expect_size=\"26383360\"] \n  10 [size=\"109581653\", alpha=\"0.05\", expect_size=\"32874496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88675840\", alpha=\"0.06\", expect_size=\"35470336\"] \n  1 -> 2 [size =\"35470336\"]\n  2 [size=\"100743680\", alpha=\"0.20\", expect_size=\"40297472\"] \n  2 -> 3 [size =\"40297472\"]\n  3 [size=\"100858880\", alpha=\"0.18\", expect_size=\"40343552\"] \n  3 -> 4 [size =\"40343552\"]\n  4 [size=\"112432640\", alpha=\"0.19\", expect_size=\"44973056\"] \n  4 -> 5 [size =\"44973056\"]\n  5 [size=\"109824000\", alpha=\"0.05\", expect_size=\"43929600\"] \n  5 -> 6 [size =\"43929600\"]\n  6 [size=\"21388800\", alpha=\"0.16\", expect_size=\"8555520\"] \n  6 -> 7 [size =\"8555520\"]\n  7 [size=\"67939840\", alpha=\"0.05\", expect_size=\"27175936\"] \n  7 -> 8 [size =\"27175936\"]\n  8 [size=\"38346240\", alpha=\"0.01\", expect_size=\"15338496\"] \n  8 -> 9 [size =\"15338496\"]\n  9 [size=\"76206080\", alpha=\"0.15\", expect_size=\"30482432\"] \n  9 -> 10 [size =\"30482432\"]\n  10 [size=\"63185920\", alpha=\"0.19\", expect_size=\"25274368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73566208\", alpha=\"0.13\", expect_size=\"36783104\"] \n  1 -> 2 [size =\"36783104\"]\n  2 [size=\"91410432\", alpha=\"0.19\", expect_size=\"45705216\"] \n  2 -> 3 [size =\"45705216\"]\n  3 [size=\"21891072\", alpha=\"0.06\", expect_size=\"10945536\"] \n  3 -> 4 [size =\"10945536\"]\n  4 [size=\"27736064\", alpha=\"0.12\", expect_size=\"13868032\"] \n  4 -> 5 [size =\"13868032\"]\n  5 [size=\"33769472\", alpha=\"0.05\", expect_size=\"16884736\"] \n  5 -> 6 [size =\"16884736\"]\n  6 [size=\"62865408\", alpha=\"0.14\", expect_size=\"31432704\"] \n  6 -> 7 [size =\"31432704\"]\n  7 [size=\"27676672\", alpha=\"0.11\", expect_size=\"13838336\"] \n  7 -> 8 [size =\"13838336\"]\n  8 [size=\"25145344\", alpha=\"0.18\", expect_size=\"12572672\"] \n  8 -> 9 [size =\"12572672\"]\n  9 [size=\"69490688\", alpha=\"0.02\", expect_size=\"34745344\"] \n  9 -> 10 [size =\"34745344\"]\n  10 [size=\"33832960\", alpha=\"0.08\", expect_size=\"16916480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27481600\", alpha=\"0.09\", expect_size=\"10992640\"] \n  1 -> 6 [size =\"10992640\"]\n  1 -> 7 [size =\"10992640\"]\n  1 -> 9 [size =\"10992640\"]\n  1 -> 10 [size =\"10992640\"]\n  2 [size=\"122385920\", alpha=\"0.07\", expect_size=\"48954368\"] \n  2 -> 6 [size =\"48954368\"]\n  2 -> 8 [size =\"48954368\"]\n  3 [size=\"32980480\", alpha=\"0.03\", expect_size=\"13192192\"] \n  3 -> 8 [size =\"13192192\"]\n  3 -> 10 [size =\"13192192\"]\n  4 [size=\"40888320\", alpha=\"0.09\", expect_size=\"16355328\"] \n  4 -> 10 [size =\"16355328\"]\n  5 [size=\"121351680\", alpha=\"0.00\", expect_size=\"48540672\"] \n  5 -> 6 [size =\"48540672\"]\n  5 -> 7 [size =\"48540672\"]\n  5 -> 8 [size =\"48540672\"]\n  5 -> 9 [size =\"48540672\"]\n  6 [size=\"117647360\", alpha=\"0.07\", expect_size=\"47058944\"] \n  7 [size=\"127121920\", alpha=\"0.01\", expect_size=\"50848768\"] \n  8 [size=\"101171200\", alpha=\"0.03\", expect_size=\"40468480\"] \n  9 [size=\"42229760\", alpha=\"0.11\", expect_size=\"16891904\"] \n  10 [size=\"80888320\", alpha=\"0.06\", expect_size=\"32355328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35596800\", alpha=\"0.19\", expect_size=\"14238720\"] \n  1 -> 2 [size =\"14238720\"]\n  2 [size=\"126886400\", alpha=\"0.07\", expect_size=\"50754560\"] \n  2 -> 3 [size =\"50754560\"]\n  3 [size=\"70632960\", alpha=\"0.03\", expect_size=\"28253184\"] \n  3 -> 4 [size =\"28253184\"]\n  4 [size=\"73282560\", alpha=\"0.14\", expect_size=\"29313024\"] \n  4 -> 5 [size =\"29313024\"]\n  5 [size=\"90488320\", alpha=\"0.04\", expect_size=\"36195328\"] \n  5 -> 6 [size =\"36195328\"]\n  6 [size=\"74112000\", alpha=\"0.02\", expect_size=\"29644800\"] \n  6 -> 7 [size =\"29644800\"]\n  7 [size=\"56808960\", alpha=\"0.16\", expect_size=\"22723584\"] \n  7 -> 8 [size =\"22723584\"]\n  8 [size=\"20177920\", alpha=\"0.15\", expect_size=\"8071168\"] \n  8 -> 9 [size =\"8071168\"]\n  9 [size=\"33103360\", alpha=\"0.08\", expect_size=\"13241344\"] \n  9 -> 10 [size =\"13241344\"]\n  10 [size=\"14645760\", alpha=\"0.06\", expect_size=\"5858304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33810432\", alpha=\"0.11\", expect_size=\"16905216\"] \n  1 -> 9 [size =\"16905216\"]\n  2 [size=\"63578112\", alpha=\"0.00\", expect_size=\"31789056\"] \n  2 -> 6 [size =\"31789056\"]\n  2 -> 7 [size =\"31789056\"]\n  2 -> 8 [size =\"31789056\"]\n  3 [size=\"62965760\", alpha=\"0.15\", expect_size=\"31482880\"] \n  3 -> 5 [size =\"31482880\"]\n  3 -> 8 [size =\"31482880\"]\n  3 -> 9 [size =\"31482880\"]\n  4 [size=\"79566848\", alpha=\"0.01\", expect_size=\"39783424\"] \n  5 [size=\"82513920\", alpha=\"0.17\", expect_size=\"41256960\"] \n  6 [size=\"62846976\", alpha=\"0.06\", expect_size=\"31423488\"] \n  7 [size=\"38180864\", alpha=\"0.12\", expect_size=\"19090432\"] \n  8 [size=\"26589184\", alpha=\"0.18\", expect_size=\"13294592\"] \n  9 [size=\"57653248\", alpha=\"0.16\", expect_size=\"28826624\"] \n  9 -> 10 [size =\"28826624\"]\n  10 [size=\"57610240\", alpha=\"0.11\", expect_size=\"28805120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52138667\", alpha=\"0.01\", expect_size=\"15641600\"] \n  1 -> 2 [size =\"15641600\"]\n  2 [size=\"42987520\", alpha=\"0.04\", expect_size=\"12896256\"] \n  2 -> 3 [size =\"12896256\"]\n  3 [size=\"49438720\", alpha=\"0.09\", expect_size=\"14831616\"] \n  3 -> 4 [size =\"14831616\"]\n  4 [size=\"118917120\", alpha=\"0.08\", expect_size=\"35675136\"] \n  4 -> 5 [size =\"35675136\"]\n  5 [size=\"167331840\", alpha=\"0.12\", expect_size=\"50199552\"] \n  5 -> 6 [size =\"50199552\"]\n  6 [size=\"161802240\", alpha=\"0.08\", expect_size=\"48540672\"] \n  6 -> 7 [size =\"48540672\"]\n  7 [size=\"130891093\", alpha=\"0.14\", expect_size=\"39267328\"] \n  7 -> 8 [size =\"39267328\"]\n  8 [size=\"149708800\", alpha=\"0.18\", expect_size=\"44912640\"] \n  8 -> 9 [size =\"44912640\"]\n  9 [size=\"53128533\", alpha=\"0.08\", expect_size=\"15938560\"] \n  9 -> 10 [size =\"15938560\"]\n  10 [size=\"18961067\", alpha=\"0.00\", expect_size=\"5688320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41497600\", alpha=\"0.17\", expect_size=\"16599040\"] \n  1 -> 2 [size =\"16599040\"]\n  2 [size=\"44633600\", alpha=\"0.12\", expect_size=\"17853440\"] \n  2 -> 3 [size =\"17853440\"]\n  3 [size=\"80120320\", alpha=\"0.06\", expect_size=\"32048128\"] \n  3 -> 4 [size =\"32048128\"]\n  4 [size=\"127582720\", alpha=\"0.10\", expect_size=\"51033088\"] \n  4 -> 5 [size =\"51033088\"]\n  5 [size=\"55610880\", alpha=\"0.02\", expect_size=\"22244352\"] \n  5 -> 6 [size =\"22244352\"]\n  6 [size=\"116707840\", alpha=\"0.15\", expect_size=\"46683136\"] \n  6 -> 7 [size =\"46683136\"]\n  7 [size=\"61263360\", alpha=\"0.09\", expect_size=\"24505344\"] \n  7 -> 8 [size =\"24505344\"]\n  8 [size=\"41958400\", alpha=\"0.15\", expect_size=\"16783360\"] \n  8 -> 9 [size =\"16783360\"]\n  9 [size=\"104020480\", alpha=\"0.04\", expect_size=\"41608192\"] \n  9 -> 10 [size =\"41608192\"]\n  10 [size=\"45591040\", alpha=\"0.08\", expect_size=\"18236416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82792448\", alpha=\"0.13\", expect_size=\"41396224\"] \n  1 -> 2 [size =\"41396224\"]\n  2 [size=\"93390848\", alpha=\"0.01\", expect_size=\"46695424\"] \n  2 -> 3 [size =\"46695424\"]\n  3 [size=\"99227648\", alpha=\"0.14\", expect_size=\"49613824\"] \n  3 -> 4 [size =\"49613824\"]\n  4 [size=\"86433792\", alpha=\"0.13\", expect_size=\"43216896\"] \n  4 -> 5 [size =\"43216896\"]\n  5 [size=\"36775936\", alpha=\"0.01\", expect_size=\"18387968\"] \n  5 -> 6 [size =\"18387968\"]\n  6 [size=\"43687936\", alpha=\"0.14\", expect_size=\"21843968\"] \n  6 -> 7 [size =\"21843968\"]\n  7 [size=\"68153344\", alpha=\"0.14\", expect_size=\"34076672\"] \n  7 -> 8 [size =\"34076672\"]\n  8 [size=\"26298368\", alpha=\"0.02\", expect_size=\"13149184\"] \n  8 -> 9 [size =\"13149184\"]\n  9 [size=\"89565184\", alpha=\"0.10\", expect_size=\"44782592\"] \n  9 -> 10 [size =\"44782592\"]\n  10 [size=\"17059840\", alpha=\"0.07\", expect_size=\"8529920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63525547\", alpha=\"0.19\", expect_size=\"19057664\"] \n  1 -> 2 [size =\"19057664\"]\n  2 [size=\"94723413\", alpha=\"0.09\", expect_size=\"28417024\"] \n  2 -> 3 [size =\"28417024\"]\n  3 [size=\"66914987\", alpha=\"0.02\", expect_size=\"20074496\"] \n  3 -> 4 [size =\"20074496\"]\n  4 [size=\"118326613\", alpha=\"0.15\", expect_size=\"35497984\"] \n  4 -> 5 [size =\"35497984\"]\n  5 [size=\"48807253\", alpha=\"0.11\", expect_size=\"14642176\"] \n  5 -> 6 [size =\"14642176\"]\n  6 [size=\"69072213\", alpha=\"0.12\", expect_size=\"20721664\"] \n  6 -> 7 [size =\"20721664\"]\n  7 [size=\"67293867\", alpha=\"0.19\", expect_size=\"20188160\"] \n  7 -> 8 [size =\"20188160\"]\n  8 [size=\"32160427\", alpha=\"0.09\", expect_size=\"9648128\"] \n  8 -> 9 [size =\"9648128\"]\n  9 [size=\"81633280\", alpha=\"0.16\", expect_size=\"24489984\"] \n  9 -> 10 [size =\"24489984\"]\n  10 [size=\"75069440\", alpha=\"0.15\", expect_size=\"22520832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108234240\", alpha=\"0.15\", expect_size=\"43293696\"] \n  1 -> 2 [size =\"43293696\"]\n  2 [size=\"23539200\", alpha=\"0.07\", expect_size=\"9415680\"] \n  2 -> 3 [size =\"9415680\"]\n  3 [size=\"33187840\", alpha=\"0.10\", expect_size=\"13275136\"] \n  3 -> 4 [size =\"13275136\"]\n  4 [size=\"66931200\", alpha=\"0.07\", expect_size=\"26772480\"] \n  4 -> 5 [size =\"26772480\"]\n  5 [size=\"83269120\", alpha=\"0.20\", expect_size=\"33307648\"] \n  5 -> 6 [size =\"33307648\"]\n  6 [size=\"45532160\", alpha=\"0.19\", expect_size=\"18212864\"] \n  6 -> 7 [size =\"18212864\"]\n  7 [size=\"129651200\", alpha=\"0.14\", expect_size=\"51860480\"] \n  7 -> 8 [size =\"51860480\"]\n  8 [size=\"69601280\", alpha=\"0.06\", expect_size=\"27840512\"] \n  8 -> 9 [size =\"27840512\"]\n  9 [size=\"122905600\", alpha=\"0.11\", expect_size=\"49162240\"] \n  9 -> 10 [size =\"49162240\"]\n  10 [size=\"25807360\", alpha=\"0.03\", expect_size=\"10322944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88741888\", alpha=\"0.11\", expect_size=\"44370944\"] \n  1 -> 2 [size =\"44370944\"]\n  2 [size=\"29052928\", alpha=\"0.16\", expect_size=\"14526464\"] \n  2 -> 3 [size =\"14526464\"]\n  3 [size=\"61378560\", alpha=\"0.18\", expect_size=\"30689280\"] \n  3 -> 4 [size =\"30689280\"]\n  4 [size=\"37586944\", alpha=\"0.19\", expect_size=\"18793472\"] \n  4 -> 5 [size =\"18793472\"]\n  5 [size=\"11360256\", alpha=\"0.09\", expect_size=\"5680128\"] \n  5 -> 6 [size =\"5680128\"]\n  6 [size=\"80736256\", alpha=\"0.07\", expect_size=\"40368128\"] \n  6 -> 7 [size =\"40368128\"]\n  7 [size=\"75264000\", alpha=\"0.09\", expect_size=\"37632000\"] \n  7 -> 8 [size =\"37632000\"]\n  8 [size=\"47958016\", alpha=\"0.03\", expect_size=\"23979008\"] \n  8 -> 9 [size =\"23979008\"]\n  9 [size=\"104173568\", alpha=\"0.17\", expect_size=\"52086784\"] \n  9 -> 10 [size =\"52086784\"]\n  10 [size=\"95045632\", alpha=\"0.11\", expect_size=\"47522816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88639488\", alpha=\"0.01\", expect_size=\"44319744\"] \n  1 -> 10 [size =\"44319744\"]\n  2 [size=\"71102464\", alpha=\"0.04\", expect_size=\"35551232\"] \n  2 -> 8 [size =\"35551232\"]\n  2 -> 10 [size =\"35551232\"]\n  3 [size=\"85422080\", alpha=\"0.17\", expect_size=\"42711040\"] \n  3 -> 8 [size =\"42711040\"]\n  4 [size=\"11583488\", alpha=\"0.16\", expect_size=\"5791744\"] \n  4 -> 7 [size =\"5791744\"]\n  5 [size=\"96346112\", alpha=\"0.18\", expect_size=\"48173056\"] \n  5 -> 7 [size =\"48173056\"]\n  5 -> 8 [size =\"48173056\"]\n  5 -> 9 [size =\"48173056\"]\n  6 [size=\"16248832\", alpha=\"0.12\", expect_size=\"8124416\"] \n  6 -> 8 [size =\"8124416\"]\n  7 [size=\"87244800\", alpha=\"0.08\", expect_size=\"43622400\"] \n  8 [size=\"83775488\", alpha=\"0.13\", expect_size=\"41887744\"] \n  9 [size=\"91801600\", alpha=\"0.07\", expect_size=\"45900800\"] \n  10 [size=\"77907968\", alpha=\"0.15\", expect_size=\"38953984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85558613\", alpha=\"0.18\", expect_size=\"25667584\"] \n  1 -> 6 [size =\"25667584\"]\n  1 -> 7 [size =\"25667584\"]\n  1 -> 9 [size =\"25667584\"]\n  1 -> 10 [size =\"25667584\"]\n  2 [size=\"30566400\", alpha=\"0.16\", expect_size=\"9169920\"] \n  2 -> 5 [size =\"9169920\"]\n  2 -> 9 [size =\"9169920\"]\n  2 -> 10 [size =\"9169920\"]\n  3 [size=\"159689387\", alpha=\"0.17\", expect_size=\"47906816\"] \n  3 -> 5 [size =\"47906816\"]\n  3 -> 7 [size =\"47906816\"]\n  3 -> 8 [size =\"47906816\"]\n  3 -> 10 [size =\"47906816\"]\n  4 [size=\"70072320\", alpha=\"0.18\", expect_size=\"21021696\"] \n  4 -> 7 [size =\"21021696\"]\n  4 -> 7 [size =\"21021696\"]\n  4 -> 10 [size =\"21021696\"]\n  5 [size=\"157747200\", alpha=\"0.15\", expect_size=\"47324160\"] \n  6 [size=\"109991253\", alpha=\"0.08\", expect_size=\"32997376\"] \n  7 [size=\"167922347\", alpha=\"0.16\", expect_size=\"50376704\"] \n  8 [size=\"98809173\", alpha=\"0.13\", expect_size=\"29642752\"] \n  9 [size=\"140042240\", alpha=\"0.10\", expect_size=\"42012672\"] \n  10 [size=\"149606400\", alpha=\"0.13\", expect_size=\"44881920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27456853\", alpha=\"0.17\", expect_size=\"8237056\"] \n  2 [size=\"101946027\", alpha=\"0.15\", expect_size=\"30583808\"] \n  2 -> 6 [size =\"30583808\"]\n  2 -> 7 [size =\"30583808\"]\n  3 [size=\"95945387\", alpha=\"0.01\", expect_size=\"28783616\"] \n  3 -> 5 [size =\"28783616\"]\n  3 -> 6 [size =\"28783616\"]\n  3 -> 7 [size =\"28783616\"]\n  4 [size=\"145162240\", alpha=\"0.18\", expect_size=\"43548672\"] \n  5 [size=\"55579307\", alpha=\"0.08\", expect_size=\"16673792\"] \n  5 -> 9 [size =\"16673792\"]\n  6 [size=\"44871680\", alpha=\"0.02\", expect_size=\"13461504\"] \n  6 -> 8 [size =\"13461504\"]\n  6 -> 10 [size =\"13461504\"]\n  7 [size=\"147712000\", alpha=\"0.20\", expect_size=\"44313600\"] \n  7 -> 8 [size =\"44313600\"]\n  8 [size=\"61057707\", alpha=\"0.03\", expect_size=\"18317312\"] \n  9 [size=\"83568640\", alpha=\"0.04\", expect_size=\"25070592\"] \n  10 [size=\"167287467\", alpha=\"0.09\", expect_size=\"50186240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22592853\", alpha=\"0.05\", expect_size=\"6777856\"] \n  1 -> 6 [size =\"6777856\"]\n  1 -> 8 [size =\"6777856\"]\n  2 [size=\"98969600\", alpha=\"0.18\", expect_size=\"29690880\"] \n  2 -> 10 [size =\"29690880\"]\n  3 [size=\"18585600\", alpha=\"0.17\", expect_size=\"5575680\"] \n  3 -> 10 [size =\"5575680\"]\n  4 [size=\"40837120\", alpha=\"0.20\", expect_size=\"12251136\"] \n  4 -> 7 [size =\"12251136\"]\n  4 -> 8 [size =\"12251136\"]\n  5 [size=\"153299627\", alpha=\"0.02\", expect_size=\"45989888\"] \n  5 -> 6 [size =\"45989888\"]\n  5 -> 9 [size =\"45989888\"]\n  6 [size=\"112339627\", alpha=\"0.05\", expect_size=\"33701888\"] \n  7 [size=\"30866773\", alpha=\"0.14\", expect_size=\"9260032\"] \n  8 [size=\"133922133\", alpha=\"0.02\", expect_size=\"40176640\"] \n  9 [size=\"123873280\", alpha=\"0.14\", expect_size=\"37161984\"] \n  10 [size=\"165560320\", alpha=\"0.01\", expect_size=\"49668096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101859328\", alpha=\"0.10\", expect_size=\"50929664\"] \n  1 -> 4 [size =\"50929664\"]\n  1 -> 5 [size =\"50929664\"]\n  2 [size=\"69763072\", alpha=\"0.18\", expect_size=\"34881536\"] \n  3 [size=\"103378944\", alpha=\"0.12\", expect_size=\"51689472\"] \n  4 [size=\"91738112\", alpha=\"0.20\", expect_size=\"45869056\"] \n  4 -> 6 [size =\"45869056\"]\n  5 [size=\"71684096\", alpha=\"0.01\", expect_size=\"35842048\"] \n  6 [size=\"81235968\", alpha=\"0.02\", expect_size=\"40617984\"] \n  6 -> 7 [size =\"40617984\"]\n  7 [size=\"11044864\", alpha=\"0.01\", expect_size=\"5522432\"] \n  7 -> 8 [size =\"5522432\"]\n  7 -> 9 [size =\"5522432\"]\n  7 -> 10 [size =\"5522432\"]\n  8 [size=\"22128640\", alpha=\"0.08\", expect_size=\"11064320\"] \n  9 [size=\"67227648\", alpha=\"0.19\", expect_size=\"33613824\"] \n  10 [size=\"19068928\", alpha=\"0.02\", expect_size=\"9534464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120814080\", alpha=\"0.11\", expect_size=\"48325632\"] \n  1 -> 2 [size =\"48325632\"]\n  2 [size=\"95838720\", alpha=\"0.17\", expect_size=\"38335488\"] \n  2 -> 3 [size =\"38335488\"]\n  3 [size=\"53153280\", alpha=\"0.06\", expect_size=\"21261312\"] \n  3 -> 4 [size =\"21261312\"]\n  4 [size=\"117670400\", alpha=\"0.20\", expect_size=\"47068160\"] \n  4 -> 5 [size =\"47068160\"]\n  5 [size=\"73766400\", alpha=\"0.04\", expect_size=\"29506560\"] \n  5 -> 6 [size =\"29506560\"]\n  6 [size=\"73190400\", alpha=\"0.06\", expect_size=\"29276160\"] \n  6 -> 7 [size =\"29276160\"]\n  7 [size=\"22251520\", alpha=\"0.11\", expect_size=\"8900608\"] \n  7 -> 8 [size =\"8900608\"]\n  8 [size=\"115069440\", alpha=\"0.06\", expect_size=\"46027776\"] \n  8 -> 9 [size =\"46027776\"]\n  9 [size=\"90009600\", alpha=\"0.14\", expect_size=\"36003840\"] \n  9 -> 10 [size =\"36003840\"]\n  10 [size=\"31311360\", alpha=\"0.09\", expect_size=\"12524544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85954560\", alpha=\"0.17\", expect_size=\"25786368\"] \n  1 -> 2 [size =\"25786368\"]\n  2 [size=\"66095787\", alpha=\"0.16\", expect_size=\"19828736\"] \n  2 -> 3 [size =\"19828736\"]\n  3 [size=\"128832853\", alpha=\"0.04\", expect_size=\"38649856\"] \n  3 -> 4 [size =\"38649856\"]\n  4 [size=\"130211840\", alpha=\"0.02\", expect_size=\"39063552\"] \n  4 -> 5 [size =\"39063552\"]\n  5 [size=\"84838400\", alpha=\"0.14\", expect_size=\"25451520\"] \n  5 -> 6 [size =\"25451520\"]\n  6 [size=\"171393707\", alpha=\"0.14\", expect_size=\"51418112\"] \n  6 -> 7 [size =\"51418112\"]\n  7 [size=\"139523413\", alpha=\"0.06\", expect_size=\"41857024\"] \n  7 -> 8 [size =\"41857024\"]\n  8 [size=\"61972480\", alpha=\"0.13\", expect_size=\"18591744\"] \n  8 -> 9 [size =\"18591744\"]\n  9 [size=\"129908053\", alpha=\"0.10\", expect_size=\"38972416\"] \n  9 -> 10 [size =\"38972416\"]\n  10 [size=\"166021120\", alpha=\"0.17\", expect_size=\"49806336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166570667\", alpha=\"0.03\", expect_size=\"49971200\"] \n  1 -> 2 [size =\"49971200\"]\n  2 [size=\"81179307\", alpha=\"0.04\", expect_size=\"24353792\"] \n  2 -> 3 [size =\"24353792\"]\n  3 [size=\"105874773\", alpha=\"0.01\", expect_size=\"31762432\"] \n  3 -> 4 [size =\"31762432\"]\n  4 [size=\"100741120\", alpha=\"0.04\", expect_size=\"30222336\"] \n  4 -> 5 [size =\"30222336\"]\n  5 [size=\"67894613\", alpha=\"0.13\", expect_size=\"20368384\"] \n  5 -> 6 [size =\"20368384\"]\n  6 [size=\"83691520\", alpha=\"0.01\", expect_size=\"25107456\"] \n  6 -> 7 [size =\"25107456\"]\n  7 [size=\"86882987\", alpha=\"0.00\", expect_size=\"26064896\"] \n  7 -> 8 [size =\"26064896\"]\n  8 [size=\"121378133\", alpha=\"0.19\", expect_size=\"36413440\"] \n  8 -> 9 [size =\"36413440\"]\n  9 [size=\"131880960\", alpha=\"0.05\", expect_size=\"39564288\"] \n  9 -> 10 [size =\"39564288\"]\n  10 [size=\"44598613\", alpha=\"0.14\", expect_size=\"13379584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28129280\", alpha=\"0.02\", expect_size=\"8438784\"] \n  1 -> 9 [size =\"8438784\"]\n  2 [size=\"54702080\", alpha=\"0.17\", expect_size=\"16410624\"] \n  3 [size=\"107786240\", alpha=\"0.09\", expect_size=\"32335872\"] \n  3 -> 10 [size =\"32335872\"]\n  4 [size=\"61825707\", alpha=\"0.10\", expect_size=\"18547712\"] \n  5 [size=\"64139947\", alpha=\"0.09\", expect_size=\"19241984\"] \n  6 [size=\"137960107\", alpha=\"0.17\", expect_size=\"41388032\"] \n  7 [size=\"148435627\", alpha=\"0.15\", expect_size=\"44530688\"] \n  8 [size=\"92934827\", alpha=\"0.08\", expect_size=\"27880448\"] \n  8 -> 9 [size =\"27880448\"]\n  9 [size=\"144472747\", alpha=\"0.13\", expect_size=\"43341824\"] \n  10 [size=\"114875733\", alpha=\"0.12\", expect_size=\"34462720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56403968\", alpha=\"0.05\", expect_size=\"28201984\"] \n  1 -> 2 [size =\"28201984\"]\n  2 [size=\"21145600\", alpha=\"0.11\", expect_size=\"10572800\"] \n  2 -> 3 [size =\"10572800\"]\n  3 [size=\"37799936\", alpha=\"0.17\", expect_size=\"18899968\"] \n  3 -> 4 [size =\"18899968\"]\n  4 [size=\"74463232\", alpha=\"0.18\", expect_size=\"37231616\"] \n  4 -> 5 [size =\"37231616\"]\n  5 [size=\"70248448\", alpha=\"0.01\", expect_size=\"35124224\"] \n  5 -> 6 [size =\"35124224\"]\n  6 [size=\"42573824\", alpha=\"0.17\", expect_size=\"21286912\"] \n  6 -> 7 [size =\"21286912\"]\n  7 [size=\"87267328\", alpha=\"0.19\", expect_size=\"43633664\"] \n  7 -> 8 [size =\"43633664\"]\n  8 [size=\"101732352\", alpha=\"0.03\", expect_size=\"50866176\"] \n  8 -> 9 [size =\"50866176\"]\n  9 [size=\"87371776\", alpha=\"0.16\", expect_size=\"43685888\"] \n  9 -> 10 [size =\"43685888\"]\n  10 [size=\"76988416\", alpha=\"0.20\", expect_size=\"38494208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104424960\", alpha=\"0.07\", expect_size=\"41769984\"] \n  1 -> 6 [size =\"41769984\"]\n  1 -> 7 [size =\"41769984\"]\n  1 -> 10 [size =\"41769984\"]\n  2 [size=\"26703360\", alpha=\"0.01\", expect_size=\"10681344\"] \n  2 -> 6 [size =\"10681344\"]\n  2 -> 10 [size =\"10681344\"]\n  2 -> 10 [size =\"10681344\"]\n  3 [size=\"106408960\", alpha=\"0.10\", expect_size=\"42563584\"] \n  3 -> 6 [size =\"42563584\"]\n  3 -> 9 [size =\"42563584\"]\n  3 -> 10 [size =\"42563584\"]\n  4 [size=\"63098880\", alpha=\"0.04\", expect_size=\"25239552\"] \n  4 -> 6 [size =\"25239552\"]\n  5 [size=\"102374400\", alpha=\"0.13\", expect_size=\"40949760\"] \n  5 -> 6 [size =\"40949760\"]\n  5 -> 8 [size =\"40949760\"]\n  5 -> 10 [size =\"40949760\"]\n  6 [size=\"109368320\", alpha=\"0.10\", expect_size=\"43747328\"] \n  7 [size=\"26580480\", alpha=\"0.11\", expect_size=\"10632192\"] \n  8 [size=\"66833920\", alpha=\"0.16\", expect_size=\"26733568\"] \n  9 [size=\"29217280\", alpha=\"0.00\", expect_size=\"11686912\"] \n  10 [size=\"55961600\", alpha=\"0.18\", expect_size=\"22384640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51520853\", alpha=\"0.17\", expect_size=\"15456256\"] \n  1 -> 4 [size =\"15456256\"]\n  1 -> 5 [size =\"15456256\"]\n  2 [size=\"36246187\", alpha=\"0.09\", expect_size=\"10873856\"] \n  2 -> 4 [size =\"10873856\"]\n  3 [size=\"100686507\", alpha=\"0.08\", expect_size=\"30205952\"] \n  4 [size=\"147367253\", alpha=\"0.08\", expect_size=\"44210176\"] \n  4 -> 6 [size =\"44210176\"]\n  4 -> 7 [size =\"44210176\"]\n  5 [size=\"99741013\", alpha=\"0.03\", expect_size=\"29922304\"] \n  5 -> 6 [size =\"29922304\"]\n  5 -> 7 [size =\"29922304\"]\n  6 [size=\"148674560\", alpha=\"0.13\", expect_size=\"44602368\"] \n  6 -> 8 [size =\"44602368\"]\n  6 -> 9 [size =\"44602368\"]\n  6 -> 10 [size =\"44602368\"]\n  7 [size=\"167741440\", alpha=\"0.10\", expect_size=\"50322432\"] \n  7 -> 8 [size =\"50322432\"]\n  7 -> 9 [size =\"50322432\"]\n  7 -> 10 [size =\"50322432\"]\n  8 [size=\"60002987\", alpha=\"0.13\", expect_size=\"18000896\"] \n  9 [size=\"48861867\", alpha=\"0.09\", expect_size=\"14658560\"] \n  10 [size=\"141626027\", alpha=\"0.17\", expect_size=\"42487808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18772480\", alpha=\"0.04\", expect_size=\"7508992\"] \n  1 -> 2 [size =\"7508992\"]\n  2 [size=\"63736320\", alpha=\"0.06\", expect_size=\"25494528\"] \n  2 -> 3 [size =\"25494528\"]\n  3 [size=\"58616320\", alpha=\"0.10\", expect_size=\"23446528\"] \n  3 -> 4 [size =\"23446528\"]\n  4 [size=\"31628800\", alpha=\"0.15\", expect_size=\"12651520\"] \n  4 -> 5 [size =\"12651520\"]\n  5 [size=\"114524160\", alpha=\"0.09\", expect_size=\"45809664\"] \n  5 -> 6 [size =\"45809664\"]\n  6 [size=\"98892800\", alpha=\"0.11\", expect_size=\"39557120\"] \n  6 -> 7 [size =\"39557120\"]\n  7 [size=\"58191360\", alpha=\"0.04\", expect_size=\"23276544\"] \n  7 -> 8 [size =\"23276544\"]\n  8 [size=\"94259200\", alpha=\"0.13\", expect_size=\"37703680\"] \n  8 -> 9 [size =\"37703680\"]\n  9 [size=\"67246080\", alpha=\"0.03\", expect_size=\"26898432\"] \n  9 -> 10 [size =\"26898432\"]\n  10 [size=\"74211840\", alpha=\"0.04\", expect_size=\"29684736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52346880\", alpha=\"0.18\", expect_size=\"15704064\"] \n  2 [size=\"54968320\", alpha=\"0.08\", expect_size=\"16490496\"] \n  2 -> 4 [size =\"16490496\"]\n  2 -> 5 [size =\"16490496\"]\n  3 [size=\"65071787\", alpha=\"0.18\", expect_size=\"19521536\"] \n  3 -> 4 [size =\"19521536\"]\n  4 [size=\"114677760\", alpha=\"0.10\", expect_size=\"34403328\"] \n  4 -> 6 [size =\"34403328\"]\n  4 -> 7 [size =\"34403328\"]\n  4 -> 8 [size =\"34403328\"]\n  4 -> 9 [size =\"34403328\"]\n  5 [size=\"78353067\", alpha=\"0.01\", expect_size=\"23505920\"] \n  5 -> 6 [size =\"23505920\"]\n  5 -> 8 [size =\"23505920\"]\n  5 -> 9 [size =\"23505920\"]\n  6 [size=\"20773547\", alpha=\"0.06\", expect_size=\"6232064\"] \n  6 -> 10 [size =\"6232064\"]\n  7 [size=\"81708373\", alpha=\"0.08\", expect_size=\"24512512\"] \n  7 -> 10 [size =\"24512512\"]\n  8 [size=\"24470187\", alpha=\"0.08\", expect_size=\"7341056\"] \n  8 -> 10 [size =\"7341056\"]\n  9 [size=\"171502933\", alpha=\"0.06\", expect_size=\"51450880\"] \n  9 -> 10 [size =\"51450880\"]\n  10 [size=\"121620480\", alpha=\"0.05\", expect_size=\"36486144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88352768\", alpha=\"0.13\", expect_size=\"44176384\"] \n  1 -> 6 [size =\"44176384\"]\n  1 -> 7 [size =\"44176384\"]\n  1 -> 9 [size =\"44176384\"]\n  1 -> 10 [size =\"44176384\"]\n  2 [size=\"38883328\", alpha=\"0.00\", expect_size=\"19441664\"] \n  2 -> 8 [size =\"19441664\"]\n  2 -> 9 [size =\"19441664\"]\n  2 -> 10 [size =\"19441664\"]\n  3 [size=\"93534208\", alpha=\"0.04\", expect_size=\"46767104\"] \n  3 -> 6 [size =\"46767104\"]\n  3 -> 7 [size =\"46767104\"]\n  3 -> 9 [size =\"46767104\"]\n  3 -> 10 [size =\"46767104\"]\n  4 [size=\"45467648\", alpha=\"0.03\", expect_size=\"22733824\"] \n  4 -> 6 [size =\"22733824\"]\n  4 -> 7 [size =\"22733824\"]\n  4 -> 10 [size =\"22733824\"]\n  4 -> 10 [size =\"22733824\"]\n  5 [size=\"45336576\", alpha=\"0.04\", expect_size=\"22668288\"] \n  5 -> 7 [size =\"22668288\"]\n  6 [size=\"50669568\", alpha=\"0.10\", expect_size=\"25334784\"] \n  7 [size=\"32688128\", alpha=\"0.17\", expect_size=\"16344064\"] \n  8 [size=\"77158400\", alpha=\"0.01\", expect_size=\"38579200\"] \n  9 [size=\"63041536\", alpha=\"0.18\", expect_size=\"31520768\"] \n  10 [size=\"38379520\", alpha=\"0.11\", expect_size=\"19189760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160774827\", alpha=\"0.19\", expect_size=\"48232448\"] \n  1 -> 5 [size =\"48232448\"]\n  1 -> 7 [size =\"48232448\"]\n  1 -> 8 [size =\"48232448\"]\n  1 -> 9 [size =\"48232448\"]\n  2 [size=\"140308480\", alpha=\"0.13\", expect_size=\"42092544\"] \n  2 -> 4 [size =\"42092544\"]\n  2 -> 6 [size =\"42092544\"]\n  2 -> 9 [size =\"42092544\"]\n  3 [size=\"60412587\", alpha=\"0.08\", expect_size=\"18123776\"] \n  3 -> 4 [size =\"18123776\"]\n  3 -> 5 [size =\"18123776\"]\n  3 -> 9 [size =\"18123776\"]\n  4 [size=\"171772587\", alpha=\"0.04\", expect_size=\"51531776\"] \n  4 -> 10 [size =\"51531776\"]\n  5 [size=\"132072107\", alpha=\"0.08\", expect_size=\"39621632\"] \n  5 -> 10 [size =\"39621632\"]\n  6 [size=\"80056320\", alpha=\"0.01\", expect_size=\"24016896\"] \n  6 -> 10 [size =\"24016896\"]\n  7 [size=\"73523200\", alpha=\"0.14\", expect_size=\"22056960\"] \n  8 [size=\"158839467\", alpha=\"0.18\", expect_size=\"47651840\"] \n  8 -> 10 [size =\"47651840\"]\n  9 [size=\"164297387\", alpha=\"0.15\", expect_size=\"49289216\"] \n  9 -> 10 [size =\"49289216\"]\n  10 [size=\"82578773\", alpha=\"0.14\", expect_size=\"24773632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31443627\", alpha=\"0.06\", expect_size=\"9433088\"] \n  1 -> 2 [size =\"9433088\"]\n  2 [size=\"39475200\", alpha=\"0.13\", expect_size=\"11842560\"] \n  2 -> 3 [size =\"11842560\"]\n  3 [size=\"35826347\", alpha=\"0.16\", expect_size=\"10747904\"] \n  3 -> 4 [size =\"10747904\"]\n  4 [size=\"144865280\", alpha=\"0.09\", expect_size=\"43459584\"] \n  4 -> 5 [size =\"43459584\"]\n  5 [size=\"124098560\", alpha=\"0.17\", expect_size=\"37229568\"] \n  5 -> 6 [size =\"37229568\"]\n  6 [size=\"41536853\", alpha=\"0.17\", expect_size=\"12461056\"] \n  6 -> 7 [size =\"12461056\"]\n  7 [size=\"137451520\", alpha=\"0.13\", expect_size=\"41235456\"] \n  7 -> 8 [size =\"41235456\"]\n  8 [size=\"18155520\", alpha=\"0.07\", expect_size=\"5446656\"] \n  8 -> 9 [size =\"5446656\"]\n  9 [size=\"26678613\", alpha=\"0.05\", expect_size=\"8003584\"] \n  9 -> 10 [size =\"8003584\"]\n  10 [size=\"27692373\", alpha=\"0.20\", expect_size=\"8307712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33549653\", alpha=\"0.12\", expect_size=\"10064896\"] \n  1 -> 2 [size =\"10064896\"]\n  2 [size=\"133352107\", alpha=\"0.01\", expect_size=\"40005632\"] \n  2 -> 3 [size =\"40005632\"]\n  3 [size=\"91685547\", alpha=\"0.03\", expect_size=\"27505664\"] \n  3 -> 4 [size =\"27505664\"]\n  4 [size=\"36962987\", alpha=\"0.01\", expect_size=\"11088896\"] \n  4 -> 5 [size =\"11088896\"]\n  5 [size=\"28781227\", alpha=\"0.06\", expect_size=\"8634368\"] \n  5 -> 6 [size =\"8634368\"]\n  6 [size=\"32832853\", alpha=\"0.04\", expect_size=\"9849856\"] \n  6 -> 7 [size =\"9849856\"]\n  7 [size=\"163935573\", alpha=\"0.08\", expect_size=\"49180672\"] \n  7 -> 8 [size =\"49180672\"]\n  8 [size=\"78219947\", alpha=\"0.04\", expect_size=\"23465984\"] \n  8 -> 9 [size =\"23465984\"]\n  9 [size=\"29545813\", alpha=\"0.10\", expect_size=\"8863744\"] \n  9 -> 10 [size =\"8863744\"]\n  10 [size=\"143414613\", alpha=\"0.17\", expect_size=\"43024384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160139947\", alpha=\"0.01\", expect_size=\"48041984\"] \n  1 -> 6 [size =\"48041984\"]\n  1 -> 9 [size =\"48041984\"]\n  2 [size=\"59385173\", alpha=\"0.11\", expect_size=\"17815552\"] \n  2 -> 7 [size =\"17815552\"]\n  2 -> 8 [size =\"17815552\"]\n  2 -> 9 [size =\"17815552\"]\n  3 [size=\"89562453\", alpha=\"0.12\", expect_size=\"26868736\"] \n  3 -> 6 [size =\"26868736\"]\n  3 -> 10 [size =\"26868736\"]\n  4 [size=\"75400533\", alpha=\"0.07\", expect_size=\"22620160\"] \n  4 -> 9 [size =\"22620160\"]\n  5 [size=\"120965120\", alpha=\"0.07\", expect_size=\"36289536\"] \n  5 -> 9 [size =\"36289536\"]\n  5 -> 10 [size =\"36289536\"]\n  6 [size=\"173103787\", alpha=\"0.19\", expect_size=\"51931136\"] \n  7 [size=\"93764267\", alpha=\"0.10\", expect_size=\"28129280\"] \n  8 [size=\"160863573\", alpha=\"0.11\", expect_size=\"48259072\"] \n  9 [size=\"120773973\", alpha=\"0.12\", expect_size=\"36232192\"] \n  10 [size=\"38328320\", alpha=\"0.06\", expect_size=\"11498496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29442560\", alpha=\"0.14\", expect_size=\"11777024\"] \n  1 -> 2 [size =\"11777024\"]\n  2 [size=\"65267200\", alpha=\"0.18\", expect_size=\"26106880\"] \n  2 -> 3 [size =\"26106880\"]\n  3 [size=\"95283200\", alpha=\"0.19\", expect_size=\"38113280\"] \n  3 -> 4 [size =\"38113280\"]\n  4 [size=\"103912960\", alpha=\"0.16\", expect_size=\"41565184\"] \n  4 -> 5 [size =\"41565184\"]\n  5 [size=\"58152960\", alpha=\"0.15\", expect_size=\"23261184\"] \n  5 -> 6 [size =\"23261184\"]\n  6 [size=\"73728000\", alpha=\"0.20\", expect_size=\"29491200\"] \n  6 -> 7 [size =\"29491200\"]\n  7 [size=\"48581120\", alpha=\"0.07\", expect_size=\"19432448\"] \n  7 -> 8 [size =\"19432448\"]\n  8 [size=\"35484160\", alpha=\"0.07\", expect_size=\"14193664\"] \n  8 -> 9 [size =\"14193664\"]\n  9 [size=\"32128000\", alpha=\"0.01\", expect_size=\"12851200\"] \n  9 -> 10 [size =\"12851200\"]\n  10 [size=\"111019520\", alpha=\"0.03\", expect_size=\"44407808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25296896\", alpha=\"0.20\", expect_size=\"12648448\"] \n  1 -> 2 [size =\"12648448\"]\n  2 [size=\"14751744\", alpha=\"0.17\", expect_size=\"7375872\"] \n  2 -> 3 [size =\"7375872\"]\n  3 [size=\"63264768\", alpha=\"0.17\", expect_size=\"31632384\"] \n  3 -> 4 [size =\"31632384\"]\n  4 [size=\"19249152\", alpha=\"0.18\", expect_size=\"9624576\"] \n  4 -> 5 [size =\"9624576\"]\n  5 [size=\"84748288\", alpha=\"0.14\", expect_size=\"42374144\"] \n  5 -> 6 [size =\"42374144\"]\n  6 [size=\"102213632\", alpha=\"0.08\", expect_size=\"51106816\"] \n  6 -> 7 [size =\"51106816\"]\n  7 [size=\"56287232\", alpha=\"0.02\", expect_size=\"28143616\"] \n  7 -> 8 [size =\"28143616\"]\n  8 [size=\"66275328\", alpha=\"0.04\", expect_size=\"33137664\"] \n  8 -> 9 [size =\"33137664\"]\n  9 [size=\"76838912\", alpha=\"0.17\", expect_size=\"38419456\"] \n  9 -> 10 [size =\"38419456\"]\n  10 [size=\"19376128\", alpha=\"0.00\", expect_size=\"9688064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24238080\", alpha=\"0.17\", expect_size=\"9695232\"] \n  1 -> 4 [size =\"9695232\"]\n  1 -> 5 [size =\"9695232\"]\n  2 [size=\"106864640\", alpha=\"0.14\", expect_size=\"42745856\"] \n  2 -> 3 [size =\"42745856\"]\n  2 -> 4 [size =\"42745856\"]\n  2 -> 5 [size =\"42745856\"]\n  3 [size=\"112650240\", alpha=\"0.03\", expect_size=\"45060096\"] \n  3 -> 7 [size =\"45060096\"]\n  4 [size=\"26375680\", alpha=\"0.19\", expect_size=\"10550272\"] \n  5 [size=\"81612800\", alpha=\"0.08\", expect_size=\"32645120\"] \n  5 -> 6 [size =\"32645120\"]\n  6 [size=\"122311680\", alpha=\"0.04\", expect_size=\"48924672\"] \n  6 -> 8 [size =\"48924672\"]\n  6 -> 9 [size =\"48924672\"]\n  7 [size=\"89292800\", alpha=\"0.19\", expect_size=\"35717120\"] \n  7 -> 8 [size =\"35717120\"]\n  7 -> 9 [size =\"35717120\"]\n  8 [size=\"122086400\", alpha=\"0.04\", expect_size=\"48834560\"] \n  8 -> 10 [size =\"48834560\"]\n  9 [size=\"75061760\", alpha=\"0.10\", expect_size=\"30024704\"] \n  10 [size=\"61283840\", alpha=\"0.15\", expect_size=\"24513536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61601792\", alpha=\"0.19\", expect_size=\"30800896\"] \n  1 -> 3 [size =\"30800896\"]\n  1 -> 4 [size =\"30800896\"]\n  2 [size=\"96589824\", alpha=\"0.04\", expect_size=\"48294912\"] \n  3 [size=\"74227712\", alpha=\"0.05\", expect_size=\"37113856\"] \n  4 [size=\"20387840\", alpha=\"0.06\", expect_size=\"10193920\"] \n  4 -> 5 [size =\"10193920\"]\n  4 -> 6 [size =\"10193920\"]\n  5 [size=\"21835776\", alpha=\"0.15\", expect_size=\"10917888\"] \n  5 -> 7 [size =\"10917888\"]\n  6 [size=\"65566720\", alpha=\"0.13\", expect_size=\"32783360\"] \n  6 -> 8 [size =\"32783360\"]\n  7 [size=\"48605184\", alpha=\"0.08\", expect_size=\"24302592\"] \n  8 [size=\"44695552\", alpha=\"0.18\", expect_size=\"22347776\"] \n  8 -> 9 [size =\"22347776\"]\n  8 -> 10 [size =\"22347776\"]\n  9 [size=\"27101184\", alpha=\"0.19\", expect_size=\"13550592\"] \n  10 [size=\"47331328\", alpha=\"0.07\", expect_size=\"23665664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102383616\", alpha=\"0.00\", expect_size=\"51191808\"] \n  1 -> 4 [size =\"51191808\"]\n  2 [size=\"58818560\", alpha=\"0.04\", expect_size=\"29409280\"] \n  3 [size=\"56348672\", alpha=\"0.17\", expect_size=\"28174336\"] \n  3 -> 4 [size =\"28174336\"]\n  4 [size=\"64514048\", alpha=\"0.13\", expect_size=\"32257024\"] \n  4 -> 5 [size =\"32257024\"]\n  4 -> 6 [size =\"32257024\"]\n  5 [size=\"22786048\", alpha=\"0.11\", expect_size=\"11393024\"] \n  5 -> 7 [size =\"11393024\"]\n  5 -> 9 [size =\"11393024\"]\n  6 [size=\"77164544\", alpha=\"0.00\", expect_size=\"38582272\"] \n  6 -> 8 [size =\"38582272\"]\n  6 -> 9 [size =\"38582272\"]\n  7 [size=\"69029888\", alpha=\"0.17\", expect_size=\"34514944\"] \n  7 -> 10 [size =\"34514944\"]\n  8 [size=\"34220032\", alpha=\"0.11\", expect_size=\"17110016\"] \n  8 -> 10 [size =\"17110016\"]\n  9 [size=\"35733504\", alpha=\"0.06\", expect_size=\"17866752\"] \n  10 [size=\"38922240\", alpha=\"0.17\", expect_size=\"19461120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41315840\", alpha=\"0.14\", expect_size=\"16526336\"] \n  1 -> 2 [size =\"16526336\"]\n  2 [size=\"127208960\", alpha=\"0.00\", expect_size=\"50883584\"] \n  2 -> 3 [size =\"50883584\"]\n  3 [size=\"15667200\", alpha=\"0.08\", expect_size=\"6266880\"] \n  3 -> 4 [size =\"6266880\"]\n  4 [size=\"60203520\", alpha=\"0.17\", expect_size=\"24081408\"] \n  4 -> 5 [size =\"24081408\"]\n  5 [size=\"63068160\", alpha=\"0.01\", expect_size=\"25227264\"] \n  5 -> 6 [size =\"25227264\"]\n  6 [size=\"110233600\", alpha=\"0.19\", expect_size=\"44093440\"] \n  6 -> 7 [size =\"44093440\"]\n  7 [size=\"101073920\", alpha=\"0.10\", expect_size=\"40429568\"] \n  7 -> 8 [size =\"40429568\"]\n  8 [size=\"39303680\", alpha=\"0.11\", expect_size=\"15721472\"] \n  8 -> 9 [size =\"15721472\"]\n  9 [size=\"119150080\", alpha=\"0.20\", expect_size=\"47660032\"] \n  9 -> 10 [size =\"47660032\"]\n  10 [size=\"34675200\", alpha=\"0.12\", expect_size=\"13870080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74659840\", alpha=\"0.09\", expect_size=\"29863936\"] \n  1 -> 4 [size =\"29863936\"]\n  1 -> 5 [size =\"29863936\"]\n  2 [size=\"84405760\", alpha=\"0.07\", expect_size=\"33762304\"] \n  2 -> 3 [size =\"33762304\"]\n  2 -> 4 [size =\"33762304\"]\n  2 -> 5 [size =\"33762304\"]\n  3 [size=\"94691840\", alpha=\"0.18\", expect_size=\"37876736\"] \n  3 -> 6 [size =\"37876736\"]\n  4 [size=\"39800320\", alpha=\"0.01\", expect_size=\"15920128\"] \n  4 -> 7 [size =\"15920128\"]\n  5 [size=\"81774080\", alpha=\"0.09\", expect_size=\"32709632\"] \n  6 [size=\"108966400\", alpha=\"0.11\", expect_size=\"43586560\"] \n  6 -> 8 [size =\"43586560\"]\n  6 -> 9 [size =\"43586560\"]\n  6 -> 10 [size =\"43586560\"]\n  7 [size=\"39769600\", alpha=\"0.04\", expect_size=\"15907840\"] \n  7 -> 8 [size =\"15907840\"]\n  7 -> 10 [size =\"15907840\"]\n  8 [size=\"14205440\", alpha=\"0.14\", expect_size=\"5682176\"] \n  9 [size=\"23738880\", alpha=\"0.18\", expect_size=\"9495552\"] \n  10 [size=\"66572800\", alpha=\"0.06\", expect_size=\"26629120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71624704\", alpha=\"0.03\", expect_size=\"35812352\"] \n  2 [size=\"91877376\", alpha=\"0.04\", expect_size=\"45938688\"] \n  2 -> 10 [size =\"45938688\"]\n  3 [size=\"80375808\", alpha=\"0.15\", expect_size=\"40187904\"] \n  4 [size=\"23822336\", alpha=\"0.01\", expect_size=\"11911168\"] \n  4 -> 9 [size =\"11911168\"]\n  4 -> 10 [size =\"11911168\"]\n  5 [size=\"15036416\", alpha=\"0.18\", expect_size=\"7518208\"] \n  5 -> 9 [size =\"7518208\"]\n  6 [size=\"29220864\", alpha=\"0.15\", expect_size=\"14610432\"] \n  6 -> 10 [size =\"14610432\"]\n  7 [size=\"58546176\", alpha=\"0.07\", expect_size=\"29273088\"] \n  7 -> 9 [size =\"29273088\"]\n  7 -> 10 [size =\"29273088\"]\n  8 [size=\"21870592\", alpha=\"0.16\", expect_size=\"10935296\"] \n  8 -> 9 [size =\"10935296\"]\n  9 [size=\"20803584\", alpha=\"0.09\", expect_size=\"10401792\"] \n  10 [size=\"61935616\", alpha=\"0.03\", expect_size=\"30967808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57831424\", alpha=\"0.15\", expect_size=\"28915712\"] \n  2 [size=\"37898240\", alpha=\"0.03\", expect_size=\"18949120\"] \n  2 -> 3 [size =\"18949120\"]\n  2 -> 4 [size =\"18949120\"]\n  2 -> 5 [size =\"18949120\"]\n  3 [size=\"83701760\", alpha=\"0.16\", expect_size=\"41850880\"] \n  3 -> 6 [size =\"41850880\"]\n  4 [size=\"26793984\", alpha=\"0.17\", expect_size=\"13396992\"] \n  5 [size=\"80904192\", alpha=\"0.13\", expect_size=\"40452096\"] \n  5 -> 7 [size =\"40452096\"]\n  6 [size=\"14651392\", alpha=\"0.01\", expect_size=\"7325696\"] \n  6 -> 8 [size =\"7325696\"]\n  6 -> 9 [size =\"7325696\"]\n  6 -> 10 [size =\"7325696\"]\n  7 [size=\"32350208\", alpha=\"0.09\", expect_size=\"16175104\"] \n  8 [size=\"80009216\", alpha=\"0.05\", expect_size=\"40004608\"] \n  9 [size=\"68141056\", alpha=\"0.10\", expect_size=\"34070528\"] \n  10 [size=\"12326912\", alpha=\"0.15\", expect_size=\"6163456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114880000\", alpha=\"0.09\", expect_size=\"45952000\"] \n  1 -> 3 [size =\"45952000\"]\n  2 [size=\"56995840\", alpha=\"0.06\", expect_size=\"22798336\"] \n  2 -> 3 [size =\"22798336\"]\n  2 -> 4 [size =\"22798336\"]\n  2 -> 5 [size =\"22798336\"]\n  3 [size=\"46668800\", alpha=\"0.12\", expect_size=\"18667520\"] \n  3 -> 6 [size =\"18667520\"]\n  4 [size=\"44249600\", alpha=\"0.05\", expect_size=\"17699840\"] \n  4 -> 7 [size =\"17699840\"]\n  5 [size=\"24258560\", alpha=\"0.01\", expect_size=\"9703424\"] \n  6 [size=\"113379840\", alpha=\"0.13\", expect_size=\"45351936\"] \n  6 -> 9 [size =\"45351936\"]\n  7 [size=\"85775360\", alpha=\"0.18\", expect_size=\"34310144\"] \n  7 -> 8 [size =\"34310144\"]\n  7 -> 9 [size =\"34310144\"]\n  7 -> 10 [size =\"34310144\"]\n  8 [size=\"92129280\", alpha=\"0.12\", expect_size=\"36851712\"] \n  9 [size=\"44449280\", alpha=\"0.04\", expect_size=\"17779712\"] \n  10 [size=\"58547200\", alpha=\"0.11\", expect_size=\"23418880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89531733\", alpha=\"0.15\", expect_size=\"26859520\"] \n  1 -> 8 [size =\"26859520\"]\n  1 -> 10 [size =\"26859520\"]\n  2 [size=\"45888853\", alpha=\"0.19\", expect_size=\"13766656\"] \n  2 -> 8 [size =\"13766656\"]\n  2 -> 10 [size =\"13766656\"]\n  3 [size=\"27764053\", alpha=\"0.06\", expect_size=\"8329216\"] \n  3 -> 8 [size =\"8329216\"]\n  3 -> 9 [size =\"8329216\"]\n  4 [size=\"33669120\", alpha=\"0.17\", expect_size=\"10100736\"] \n  5 [size=\"93938347\", alpha=\"0.09\", expect_size=\"28181504\"] \n  5 -> 9 [size =\"28181504\"]\n  5 -> 10 [size =\"28181504\"]\n  6 [size=\"59948373\", alpha=\"0.14\", expect_size=\"17984512\"] \n  6 -> 8 [size =\"17984512\"]\n  6 -> 9 [size =\"17984512\"]\n  6 -> 10 [size =\"17984512\"]\n  7 [size=\"163191467\", alpha=\"0.01\", expect_size=\"48957440\"] \n  8 [size=\"147531093\", alpha=\"0.13\", expect_size=\"44259328\"] \n  9 [size=\"71458133\", alpha=\"0.19\", expect_size=\"21437440\"] \n  10 [size=\"158784853\", alpha=\"0.16\", expect_size=\"47635456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20152320\", alpha=\"0.08\", expect_size=\"10076160\"] \n  2 [size=\"15802368\", alpha=\"0.03\", expect_size=\"7901184\"] \n  2 -> 4 [size =\"7901184\"]\n  2 -> 5 [size =\"7901184\"]\n  3 [size=\"88559616\", alpha=\"0.14\", expect_size=\"44279808\"] \n  4 [size=\"55488512\", alpha=\"0.12\", expect_size=\"27744256\"] \n  4 -> 7 [size =\"27744256\"]\n  4 -> 8 [size =\"27744256\"]\n  5 [size=\"41416704\", alpha=\"0.06\", expect_size=\"20708352\"] \n  5 -> 6 [size =\"20708352\"]\n  6 [size=\"10993664\", alpha=\"0.17\", expect_size=\"5496832\"] \n  6 -> 10 [size =\"5496832\"]\n  7 [size=\"98881536\", alpha=\"0.07\", expect_size=\"49440768\"] \n  7 -> 9 [size =\"49440768\"]\n  7 -> 10 [size =\"49440768\"]\n  8 [size=\"19746816\", alpha=\"0.08\", expect_size=\"9873408\"] \n  9 [size=\"71708672\", alpha=\"0.13\", expect_size=\"35854336\"] \n  10 [size=\"29726720\", alpha=\"0.05\", expect_size=\"14863360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44806827\", alpha=\"0.19\", expect_size=\"13442048\"] \n  1 -> 9 [size =\"13442048\"]\n  2 [size=\"28484267\", alpha=\"0.13\", expect_size=\"8545280\"] \n  2 -> 10 [size =\"8545280\"]\n  3 [size=\"63812267\", alpha=\"0.17\", expect_size=\"19143680\"] \n  3 -> 10 [size =\"19143680\"]\n  4 [size=\"58238293\", alpha=\"0.02\", expect_size=\"17471488\"] \n  4 -> 9 [size =\"17471488\"]\n  4 -> 10 [size =\"17471488\"]\n  5 [size=\"168905387\", alpha=\"0.14\", expect_size=\"50671616\"] \n  5 -> 9 [size =\"50671616\"]\n  6 [size=\"149466453\", alpha=\"0.07\", expect_size=\"44839936\"] \n  7 [size=\"132311040\", alpha=\"0.17\", expect_size=\"39693312\"] \n  7 -> 8 [size =\"39693312\"]\n  8 [size=\"69075627\", alpha=\"0.11\", expect_size=\"20722688\"] \n  9 [size=\"49220267\", alpha=\"0.17\", expect_size=\"14766080\"] \n  10 [size=\"123897173\", alpha=\"0.12\", expect_size=\"37169152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70270293\", alpha=\"0.18\", expect_size=\"21081088\"] \n  1 -> 3 [size =\"21081088\"]\n  2 [size=\"172414293\", alpha=\"0.02\", expect_size=\"51724288\"] \n  3 [size=\"68775253\", alpha=\"0.09\", expect_size=\"20632576\"] \n  3 -> 4 [size =\"20632576\"]\n  3 -> 5 [size =\"20632576\"]\n  3 -> 6 [size =\"20632576\"]\n  4 [size=\"86842027\", alpha=\"0.07\", expect_size=\"26052608\"] \n  5 [size=\"109837653\", alpha=\"0.17\", expect_size=\"32951296\"] \n  6 [size=\"33252693\", alpha=\"0.01\", expect_size=\"9975808\"] \n  6 -> 7 [size =\"9975808\"]\n  7 [size=\"136485547\", alpha=\"0.12\", expect_size=\"40945664\"] \n  7 -> 8 [size =\"40945664\"]\n  7 -> 9 [size =\"40945664\"]\n  8 [size=\"127959040\", alpha=\"0.06\", expect_size=\"38387712\"] \n  9 [size=\"118381227\", alpha=\"0.09\", expect_size=\"35514368\"] \n  9 -> 10 [size =\"35514368\"]\n  10 [size=\"83397973\", alpha=\"0.16\", expect_size=\"25019392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117982720\", alpha=\"0.03\", expect_size=\"47193088\"] \n  1 -> 2 [size =\"47193088\"]\n  2 [size=\"106731520\", alpha=\"0.17\", expect_size=\"42692608\"] \n  2 -> 3 [size =\"42692608\"]\n  3 [size=\"122229760\", alpha=\"0.09\", expect_size=\"48891904\"] \n  3 -> 4 [size =\"48891904\"]\n  4 [size=\"70420480\", alpha=\"0.04\", expect_size=\"28168192\"] \n  4 -> 5 [size =\"28168192\"]\n  5 [size=\"32581120\", alpha=\"0.14\", expect_size=\"13032448\"] \n  5 -> 6 [size =\"13032448\"]\n  6 [size=\"129648640\", alpha=\"0.12\", expect_size=\"51859456\"] \n  6 -> 7 [size =\"51859456\"]\n  7 [size=\"98114560\", alpha=\"0.17\", expect_size=\"39245824\"] \n  7 -> 8 [size =\"39245824\"]\n  8 [size=\"122705920\", alpha=\"0.15\", expect_size=\"49082368\"] \n  8 -> 9 [size =\"49082368\"]\n  9 [size=\"39674880\", alpha=\"0.14\", expect_size=\"15869952\"] \n  9 -> 10 [size =\"15869952\"]\n  10 [size=\"46430720\", alpha=\"0.04\", expect_size=\"18572288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30907733\", alpha=\"0.06\", expect_size=\"9272320\"] \n  1 -> 4 [size =\"9272320\"]\n  1 -> 5 [size =\"9272320\"]\n  1 -> 6 [size =\"9272320\"]\n  2 [size=\"163676160\", alpha=\"0.17\", expect_size=\"49102848\"] \n  3 [size=\"83343360\", alpha=\"0.19\", expect_size=\"25003008\"] \n  3 -> 5 [size =\"25003008\"]\n  4 [size=\"81981440\", alpha=\"0.16\", expect_size=\"24594432\"] \n  4 -> 8 [size =\"24594432\"]\n  4 -> 9 [size =\"24594432\"]\n  5 [size=\"143889067\", alpha=\"0.18\", expect_size=\"43166720\"] \n  5 -> 7 [size =\"43166720\"]\n  6 [size=\"147722240\", alpha=\"0.07\", expect_size=\"44316672\"] \n  6 -> 9 [size =\"44316672\"]\n  7 [size=\"110745600\", alpha=\"0.04\", expect_size=\"33223680\"] \n  7 -> 10 [size =\"33223680\"]\n  8 [size=\"170560853\", alpha=\"0.10\", expect_size=\"51168256\"] \n  8 -> 10 [size =\"51168256\"]\n  9 [size=\"86340267\", alpha=\"0.03\", expect_size=\"25902080\"] \n  10 [size=\"75588267\", alpha=\"0.03\", expect_size=\"22676480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70550187\", alpha=\"0.10\", expect_size=\"21165056\"] \n  1 -> 2 [size =\"21165056\"]\n  2 [size=\"55179947\", alpha=\"0.09\", expect_size=\"16553984\"] \n  2 -> 3 [size =\"16553984\"]\n  2 -> 4 [size =\"16553984\"]\n  2 -> 5 [size =\"16553984\"]\n  3 [size=\"26272427\", alpha=\"0.00\", expect_size=\"7881728\"] \n  3 -> 6 [size =\"7881728\"]\n  4 [size=\"80042667\", alpha=\"0.03\", expect_size=\"24012800\"] \n  4 -> 7 [size =\"24012800\"]\n  4 -> 8 [size =\"24012800\"]\n  5 [size=\"89241600\", alpha=\"0.03\", expect_size=\"26772480\"] \n  5 -> 6 [size =\"26772480\"]\n  5 -> 8 [size =\"26772480\"]\n  6 [size=\"145349973\", alpha=\"0.10\", expect_size=\"43604992\"] \n  6 -> 10 [size =\"43604992\"]\n  7 [size=\"143677440\", alpha=\"0.18\", expect_size=\"43103232\"] \n  8 [size=\"156992853\", alpha=\"0.12\", expect_size=\"47097856\"] \n  8 -> 9 [size =\"47097856\"]\n  8 -> 10 [size =\"47097856\"]\n  9 [size=\"48394240\", alpha=\"0.15\", expect_size=\"14518272\"] \n  10 [size=\"68201813\", alpha=\"0.07\", expect_size=\"20460544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118671360\", alpha=\"0.14\", expect_size=\"47468544\"] \n  1 -> 3 [size =\"47468544\"]\n  1 -> 4 [size =\"47468544\"]\n  1 -> 5 [size =\"47468544\"]\n  2 [size=\"95713280\", alpha=\"0.00\", expect_size=\"38285312\"] \n  2 -> 4 [size =\"38285312\"]\n  2 -> 5 [size =\"38285312\"]\n  3 [size=\"38732800\", alpha=\"0.14\", expect_size=\"15493120\"] \n  3 -> 7 [size =\"15493120\"]\n  3 -> 8 [size =\"15493120\"]\n  4 [size=\"111910400\", alpha=\"0.20\", expect_size=\"44764160\"] \n  4 -> 7 [size =\"44764160\"]\n  4 -> 8 [size =\"44764160\"]\n  5 [size=\"66693120\", alpha=\"0.07\", expect_size=\"26677248\"] \n  5 -> 6 [size =\"26677248\"]\n  5 -> 8 [size =\"26677248\"]\n  6 [size=\"30407680\", alpha=\"0.03\", expect_size=\"12163072\"] \n  6 -> 10 [size =\"12163072\"]\n  7 [size=\"30054400\", alpha=\"0.03\", expect_size=\"12021760\"] \n  7 -> 10 [size =\"12021760\"]\n  8 [size=\"128934400\", alpha=\"0.12\", expect_size=\"51573760\"] \n  8 -> 9 [size =\"51573760\"]\n  9 [size=\"47485440\", alpha=\"0.13\", expect_size=\"18994176\"] \n  10 [size=\"57221120\", alpha=\"0.04\", expect_size=\"22888448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78376960\", alpha=\"0.06\", expect_size=\"39188480\"] \n  1 -> 5 [size =\"39188480\"]\n  1 -> 6 [size =\"39188480\"]\n  1 -> 7 [size =\"39188480\"]\n  2 [size=\"79054848\", alpha=\"0.17\", expect_size=\"39527424\"] \n  2 -> 5 [size =\"39527424\"]\n  2 -> 7 [size =\"39527424\"]\n  2 -> 8 [size =\"39527424\"]\n  3 [size=\"26118144\", alpha=\"0.17\", expect_size=\"13059072\"] \n  3 -> 5 [size =\"13059072\"]\n  3 -> 6 [size =\"13059072\"]\n  3 -> 7 [size =\"13059072\"]\n  4 [size=\"14292992\", alpha=\"0.07\", expect_size=\"7146496\"] \n  4 -> 5 [size =\"7146496\"]\n  4 -> 6 [size =\"7146496\"]\n  5 [size=\"22030336\", alpha=\"0.20\", expect_size=\"11015168\"] \n  5 -> 9 [size =\"11015168\"]\n  6 [size=\"70694912\", alpha=\"0.19\", expect_size=\"35347456\"] \n  6 -> 10 [size =\"35347456\"]\n  7 [size=\"14254080\", alpha=\"0.11\", expect_size=\"7127040\"] \n  8 [size=\"67094528\", alpha=\"0.06\", expect_size=\"33547264\"] \n  8 -> 9 [size =\"33547264\"]\n  9 [size=\"36280320\", alpha=\"0.16\", expect_size=\"18140160\"] \n  10 [size=\"64927744\", alpha=\"0.05\", expect_size=\"32463872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90497707\", alpha=\"0.07\", expect_size=\"27149312\"] \n  1 -> 2 [size =\"27149312\"]\n  2 [size=\"128706560\", alpha=\"0.01\", expect_size=\"38611968\"] \n  2 -> 3 [size =\"38611968\"]\n  3 [size=\"76782933\", alpha=\"0.00\", expect_size=\"23034880\"] \n  3 -> 4 [size =\"23034880\"]\n  4 [size=\"140093440\", alpha=\"0.03\", expect_size=\"42028032\"] \n  4 -> 5 [size =\"42028032\"]\n  5 [size=\"62525440\", alpha=\"0.01\", expect_size=\"18757632\"] \n  5 -> 6 [size =\"18757632\"]\n  6 [size=\"146592427\", alpha=\"0.03\", expect_size=\"43977728\"] \n  6 -> 7 [size =\"43977728\"]\n  7 [size=\"168308053\", alpha=\"0.16\", expect_size=\"50492416\"] \n  7 -> 8 [size =\"50492416\"]\n  8 [size=\"22780587\", alpha=\"0.12\", expect_size=\"6834176\"] \n  8 -> 9 [size =\"6834176\"]\n  9 [size=\"157436587\", alpha=\"0.06\", expect_size=\"47230976\"] \n  9 -> 10 [size =\"47230976\"]\n  10 [size=\"148688213\", alpha=\"0.15\", expect_size=\"44606464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95696213\", alpha=\"0.03\", expect_size=\"28708864\"] \n  1 -> 5 [size =\"28708864\"]\n  1 -> 7 [size =\"28708864\"]\n  1 -> 8 [size =\"28708864\"]\n  2 [size=\"122477227\", alpha=\"0.11\", expect_size=\"36743168\"] \n  2 -> 5 [size =\"36743168\"]\n  2 -> 6 [size =\"36743168\"]\n  2 -> 8 [size =\"36743168\"]\n  2 -> 9 [size =\"36743168\"]\n  3 [size=\"96218453\", alpha=\"0.00\", expect_size=\"28865536\"] \n  3 -> 6 [size =\"28865536\"]\n  3 -> 7 [size =\"28865536\"]\n  3 -> 9 [size =\"28865536\"]\n  4 [size=\"39680000\", alpha=\"0.07\", expect_size=\"11904000\"] \n  4 -> 8 [size =\"11904000\"]\n  5 [size=\"167799467\", alpha=\"0.11\", expect_size=\"50339840\"] \n  5 -> 10 [size =\"50339840\"]\n  6 [size=\"81199787\", alpha=\"0.05\", expect_size=\"24359936\"] \n  6 -> 10 [size =\"24359936\"]\n  7 [size=\"135512747\", alpha=\"0.00\", expect_size=\"40653824\"] \n  7 -> 10 [size =\"40653824\"]\n  8 [size=\"19234133\", alpha=\"0.03\", expect_size=\"5770240\"] \n  9 [size=\"24971947\", alpha=\"0.11\", expect_size=\"7491584\"] \n  10 [size=\"101263360\", alpha=\"0.03\", expect_size=\"30379008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13614080\", alpha=\"0.19\", expect_size=\"5445632\"] \n  1 -> 2 [size =\"5445632\"]\n  2 [size=\"121290240\", alpha=\"0.08\", expect_size=\"48516096\"] \n  2 -> 3 [size =\"48516096\"]\n  3 [size=\"25745920\", alpha=\"0.06\", expect_size=\"10298368\"] \n  3 -> 4 [size =\"10298368\"]\n  4 [size=\"123015680\", alpha=\"0.17\", expect_size=\"49206272\"] \n  4 -> 5 [size =\"49206272\"]\n  5 [size=\"25359360\", alpha=\"0.10\", expect_size=\"10143744\"] \n  5 -> 6 [size =\"10143744\"]\n  6 [size=\"101120000\", alpha=\"0.19\", expect_size=\"40448000\"] \n  6 -> 7 [size =\"40448000\"]\n  7 [size=\"112110080\", alpha=\"0.16\", expect_size=\"44844032\"] \n  7 -> 8 [size =\"44844032\"]\n  8 [size=\"113397760\", alpha=\"0.06\", expect_size=\"45359104\"] \n  8 -> 9 [size =\"45359104\"]\n  9 [size=\"129891840\", alpha=\"0.18\", expect_size=\"51956736\"] \n  9 -> 10 [size =\"51956736\"]\n  10 [size=\"58224640\", alpha=\"0.02\", expect_size=\"23289856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36590933\", alpha=\"0.06\", expect_size=\"10977280\"] \n  1 -> 7 [size =\"10977280\"]\n  1 -> 9 [size =\"10977280\"]\n  1 -> 10 [size =\"10977280\"]\n  2 [size=\"103171413\", alpha=\"0.09\", expect_size=\"30951424\"] \n  2 -> 8 [size =\"30951424\"]\n  3 [size=\"142277973\", alpha=\"0.10\", expect_size=\"42683392\"] \n  3 -> 8 [size =\"42683392\"]\n  4 [size=\"44748800\", alpha=\"0.00\", expect_size=\"13424640\"] \n  4 -> 7 [size =\"13424640\"]\n  4 -> 9 [size =\"13424640\"]\n  4 -> 10 [size =\"13424640\"]\n  5 [size=\"66522453\", alpha=\"0.19\", expect_size=\"19956736\"] \n  5 -> 8 [size =\"19956736\"]\n  5 -> 9 [size =\"19956736\"]\n  5 -> 10 [size =\"19956736\"]\n  6 [size=\"111267840\", alpha=\"0.15\", expect_size=\"33380352\"] \n  6 -> 7 [size =\"33380352\"]\n  6 -> 8 [size =\"33380352\"]\n  6 -> 10 [size =\"33380352\"]\n  7 [size=\"101335040\", alpha=\"0.00\", expect_size=\"30400512\"] \n  8 [size=\"97556480\", alpha=\"0.04\", expect_size=\"29266944\"] \n  9 [size=\"171458560\", alpha=\"0.01\", expect_size=\"51437568\"] \n  10 [size=\"69027840\", alpha=\"0.05\", expect_size=\"20708352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90037760\", alpha=\"0.07\", expect_size=\"36015104\"] \n  1 -> 3 [size =\"36015104\"]\n  2 [size=\"18798080\", alpha=\"0.00\", expect_size=\"7519232\"] \n  2 -> 3 [size =\"7519232\"]\n  3 [size=\"76495360\", alpha=\"0.11\", expect_size=\"30598144\"] \n  3 -> 4 [size =\"30598144\"]\n  3 -> 5 [size =\"30598144\"]\n  3 -> 6 [size =\"30598144\"]\n  4 [size=\"27056640\", alpha=\"0.04\", expect_size=\"10822656\"] \n  4 -> 7 [size =\"10822656\"]\n  4 -> 8 [size =\"10822656\"]\n  4 -> 9 [size =\"10822656\"]\n  4 -> 10 [size =\"10822656\"]\n  5 [size=\"110584320\", alpha=\"0.01\", expect_size=\"44233728\"] \n  5 -> 7 [size =\"44233728\"]\n  5 -> 8 [size =\"44233728\"]\n  5 -> 9 [size =\"44233728\"]\n  5 -> 10 [size =\"44233728\"]\n  6 [size=\"80376320\", alpha=\"0.01\", expect_size=\"32150528\"] \n  6 -> 7 [size =\"32150528\"]\n  6 -> 10 [size =\"32150528\"]\n  7 [size=\"60807680\", alpha=\"0.18\", expect_size=\"24323072\"] \n  8 [size=\"30835200\", alpha=\"0.04\", expect_size=\"12334080\"] \n  9 [size=\"94919680\", alpha=\"0.15\", expect_size=\"37967872\"] \n  10 [size=\"28976640\", alpha=\"0.09\", expect_size=\"11590656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59426816\", alpha=\"0.01\", expect_size=\"29713408\"] \n  1 -> 4 [size =\"29713408\"]\n  1 -> 5 [size =\"29713408\"]\n  2 [size=\"23365632\", alpha=\"0.04\", expect_size=\"11682816\"] \n  3 [size=\"62793728\", alpha=\"0.07\", expect_size=\"31396864\"] \n  3 -> 6 [size =\"31396864\"]\n  4 [size=\"31205376\", alpha=\"0.13\", expect_size=\"15602688\"] \n  4 -> 8 [size =\"15602688\"]\n  5 [size=\"28139520\", alpha=\"0.09\", expect_size=\"14069760\"] \n  5 -> 8 [size =\"14069760\"]\n  6 [size=\"47405056\", alpha=\"0.04\", expect_size=\"23702528\"] \n  6 -> 7 [size =\"23702528\"]\n  7 [size=\"39460864\", alpha=\"0.07\", expect_size=\"19730432\"] \n  7 -> 10 [size =\"19730432\"]\n  8 [size=\"67639296\", alpha=\"0.12\", expect_size=\"33819648\"] \n  8 -> 9 [size =\"33819648\"]\n  9 [size=\"93057024\", alpha=\"0.09\", expect_size=\"46528512\"] \n  10 [size=\"60712960\", alpha=\"0.16\", expect_size=\"30356480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29006507\", alpha=\"0.03\", expect_size=\"8701952\"] \n  1 -> 2 [size =\"8701952\"]\n  2 [size=\"146940587\", alpha=\"0.01\", expect_size=\"44082176\"] \n  2 -> 3 [size =\"44082176\"]\n  3 [size=\"104007680\", alpha=\"0.17\", expect_size=\"31202304\"] \n  3 -> 4 [size =\"31202304\"]\n  4 [size=\"51227307\", alpha=\"0.16\", expect_size=\"15368192\"] \n  4 -> 5 [size =\"15368192\"]\n  5 [size=\"129481387\", alpha=\"0.06\", expect_size=\"38844416\"] \n  5 -> 6 [size =\"38844416\"]\n  6 [size=\"106086400\", alpha=\"0.20\", expect_size=\"31825920\"] \n  6 -> 7 [size =\"31825920\"]\n  7 [size=\"105359360\", alpha=\"0.14\", expect_size=\"31607808\"] \n  7 -> 8 [size =\"31607808\"]\n  8 [size=\"164096000\", alpha=\"0.02\", expect_size=\"49228800\"] \n  8 -> 9 [size =\"49228800\"]\n  9 [size=\"116172800\", alpha=\"0.10\", expect_size=\"34851840\"] \n  9 -> 10 [size =\"34851840\"]\n  10 [size=\"159313920\", alpha=\"0.12\", expect_size=\"47794176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52823040\", alpha=\"0.16\", expect_size=\"21129216\"] \n  1 -> 6 [size =\"21129216\"]\n  1 -> 7 [size =\"21129216\"]\n  1 -> 8 [size =\"21129216\"]\n  2 [size=\"71802880\", alpha=\"0.15\", expect_size=\"28721152\"] \n  3 [size=\"14763520\", alpha=\"0.19\", expect_size=\"5905408\"] \n  3 -> 7 [size =\"5905408\"]\n  3 -> 8 [size =\"5905408\"]\n  4 [size=\"125621760\", alpha=\"0.05\", expect_size=\"50248704\"] \n  4 -> 6 [size =\"50248704\"]\n  4 -> 8 [size =\"50248704\"]\n  5 [size=\"127262720\", alpha=\"0.04\", expect_size=\"50905088\"] \n  5 -> 6 [size =\"50905088\"]\n  5 -> 8 [size =\"50905088\"]\n  6 [size=\"39050240\", alpha=\"0.02\", expect_size=\"15620096\"] \n  6 -> 10 [size =\"15620096\"]\n  7 [size=\"59932160\", alpha=\"0.09\", expect_size=\"23972864\"] \n  7 -> 9 [size =\"23972864\"]\n  8 [size=\"102917120\", alpha=\"0.13\", expect_size=\"41166848\"] \n  9 [size=\"117806080\", alpha=\"0.06\", expect_size=\"47122432\"] \n  10 [size=\"121313280\", alpha=\"0.07\", expect_size=\"48525312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88814080\", alpha=\"0.12\", expect_size=\"35525632\"] \n  1 -> 6 [size =\"35525632\"]\n  1 -> 8 [size =\"35525632\"]\n  2 [size=\"101084160\", alpha=\"0.18\", expect_size=\"40433664\"] \n  2 -> 6 [size =\"40433664\"]\n  2 -> 7 [size =\"40433664\"]\n  3 [size=\"112181760\", alpha=\"0.02\", expect_size=\"44872704\"] \n  3 -> 7 [size =\"44872704\"]\n  3 -> 7 [size =\"44872704\"]\n  3 -> 8 [size =\"44872704\"]\n  3 -> 9 [size =\"44872704\"]\n  3 -> 10 [size =\"44872704\"]\n  4 [size=\"105402880\", alpha=\"0.01\", expect_size=\"42161152\"] \n  4 -> 9 [size =\"42161152\"]\n  4 -> 10 [size =\"42161152\"]\n  5 [size=\"38612480\", alpha=\"0.05\", expect_size=\"15444992\"] \n  5 -> 6 [size =\"15444992\"]\n  5 -> 8 [size =\"15444992\"]\n  5 -> 10 [size =\"15444992\"]\n  6 [size=\"39687680\", alpha=\"0.17\", expect_size=\"15875072\"] \n  7 [size=\"41502720\", alpha=\"0.00\", expect_size=\"16601088\"] \n  8 [size=\"95843840\", alpha=\"0.20\", expect_size=\"38337536\"] \n  9 [size=\"19507200\", alpha=\"0.08\", expect_size=\"7802880\"] \n  10 [size=\"123942400\", alpha=\"0.15\", expect_size=\"49576960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36887893\", alpha=\"0.03\", expect_size=\"11066368\"] \n  1 -> 7 [size =\"11066368\"]\n  2 [size=\"162856960\", alpha=\"0.14\", expect_size=\"48857088\"] \n  2 -> 6 [size =\"48857088\"]\n  2 -> 8 [size =\"48857088\"]\n  2 -> 9 [size =\"48857088\"]\n  3 [size=\"123712853\", alpha=\"0.17\", expect_size=\"37113856\"] \n  3 -> 6 [size =\"37113856\"]\n  3 -> 7 [size =\"37113856\"]\n  4 [size=\"99519147\", alpha=\"0.07\", expect_size=\"29855744\"] \n  4 -> 6 [size =\"29855744\"]\n  4 -> 7 [size =\"29855744\"]\n  5 [size=\"83374080\", alpha=\"0.10\", expect_size=\"25012224\"] \n  5 -> 6 [size =\"25012224\"]\n  5 -> 7 [size =\"25012224\"]\n  6 [size=\"52121600\", alpha=\"0.04\", expect_size=\"15636480\"] \n  7 [size=\"137489067\", alpha=\"0.19\", expect_size=\"41246720\"] \n  8 [size=\"35717120\", alpha=\"0.17\", expect_size=\"10715136\"] \n  9 [size=\"94143147\", alpha=\"0.04\", expect_size=\"28242944\"] \n  9 -> 10 [size =\"28242944\"]\n  10 [size=\"78052693\", alpha=\"0.05\", expect_size=\"23415808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81840128\", alpha=\"0.00\", expect_size=\"40920064\"] \n  1 -> 9 [size =\"40920064\"]\n  2 [size=\"29196288\", alpha=\"0.10\", expect_size=\"14598144\"] \n  2 -> 9 [size =\"14598144\"]\n  3 [size=\"54259712\", alpha=\"0.13\", expect_size=\"27129856\"] \n  3 -> 8 [size =\"27129856\"]\n  3 -> 9 [size =\"27129856\"]\n  3 -> 10 [size =\"27129856\"]\n  4 [size=\"69160960\", alpha=\"0.13\", expect_size=\"34580480\"] \n  4 -> 10 [size =\"34580480\"]\n  5 [size=\"78245888\", alpha=\"0.13\", expect_size=\"39122944\"] \n  5 -> 9 [size =\"39122944\"]\n  6 [size=\"36536320\", alpha=\"0.04\", expect_size=\"18268160\"] \n  6 -> 8 [size =\"18268160\"]\n  7 [size=\"49356800\", alpha=\"0.19\", expect_size=\"24678400\"] \n  7 -> 8 [size =\"24678400\"]\n  8 [size=\"55324672\", alpha=\"0.19\", expect_size=\"27662336\"] \n  9 [size=\"11548672\", alpha=\"0.13\", expect_size=\"5774336\"] \n  10 [size=\"21035008\", alpha=\"0.04\", expect_size=\"10517504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91412480\", alpha=\"0.07\", expect_size=\"45706240\"] \n  1 -> 7 [size =\"45706240\"]\n  1 -> 8 [size =\"45706240\"]\n  2 [size=\"70443008\", alpha=\"0.12\", expect_size=\"35221504\"] \n  3 [size=\"17037312\", alpha=\"0.13\", expect_size=\"8518656\"] \n  3 -> 7 [size =\"8518656\"]\n  3 -> 8 [size =\"8518656\"]\n  4 [size=\"99119104\", alpha=\"0.15\", expect_size=\"49559552\"] \n  4 -> 7 [size =\"49559552\"]\n  4 -> 9 [size =\"49559552\"]\n  5 [size=\"75960320\", alpha=\"0.10\", expect_size=\"37980160\"] \n  5 -> 7 [size =\"37980160\"]\n  5 -> 10 [size =\"37980160\"]\n  6 [size=\"85596160\", alpha=\"0.00\", expect_size=\"42798080\"] \n  6 -> 7 [size =\"42798080\"]\n  6 -> 10 [size =\"42798080\"]\n  7 [size=\"14870528\", alpha=\"0.07\", expect_size=\"7435264\"] \n  8 [size=\"77066240\", alpha=\"0.18\", expect_size=\"38533120\"] \n  9 [size=\"97019904\", alpha=\"0.06\", expect_size=\"48509952\"] \n  10 [size=\"78745600\", alpha=\"0.11\", expect_size=\"39372800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48336896\", alpha=\"0.12\", expect_size=\"24168448\"] \n  2 [size=\"47292416\", alpha=\"0.14\", expect_size=\"23646208\"] \n  2 -> 7 [size =\"23646208\"]\n  2 -> 8 [size =\"23646208\"]\n  3 [size=\"29040640\", alpha=\"0.05\", expect_size=\"14520320\"] \n  3 -> 5 [size =\"14520320\"]\n  3 -> 8 [size =\"14520320\"]\n  4 [size=\"26580992\", alpha=\"0.13\", expect_size=\"13290496\"] \n  4 -> 5 [size =\"13290496\"]\n  4 -> 6 [size =\"13290496\"]\n  4 -> 7 [size =\"13290496\"]\n  5 [size=\"24864768\", alpha=\"0.16\", expect_size=\"12432384\"] \n  5 -> 10 [size =\"12432384\"]\n  6 [size=\"83632128\", alpha=\"0.14\", expect_size=\"41816064\"] \n  6 -> 9 [size =\"41816064\"]\n  6 -> 10 [size =\"41816064\"]\n  7 [size=\"89972736\", alpha=\"0.09\", expect_size=\"44986368\"] \n  7 -> 9 [size =\"44986368\"]\n  8 [size=\"68235264\", alpha=\"0.07\", expect_size=\"34117632\"] \n  9 [size=\"54652928\", alpha=\"0.17\", expect_size=\"27326464\"] \n  10 [size=\"44918784\", alpha=\"0.14\", expect_size=\"22459392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21245440\", alpha=\"0.02\", expect_size=\"8498176\"] \n  1 -> 8 [size =\"8498176\"]\n  1 -> 9 [size =\"8498176\"]\n  2 [size=\"74401280\", alpha=\"0.05\", expect_size=\"29760512\"] \n  2 -> 9 [size =\"29760512\"]\n  3 [size=\"47610880\", alpha=\"0.14\", expect_size=\"19044352\"] \n  3 -> 10 [size =\"19044352\"]\n  4 [size=\"23493120\", alpha=\"0.09\", expect_size=\"9397248\"] \n  4 -> 8 [size =\"9397248\"]\n  4 -> 10 [size =\"9397248\"]\n  5 [size=\"91159040\", alpha=\"0.15\", expect_size=\"36463616\"] \n  5 -> 9 [size =\"36463616\"]\n  5 -> 10 [size =\"36463616\"]\n  6 [size=\"113920000\", alpha=\"0.03\", expect_size=\"45568000\"] \n  6 -> 8 [size =\"45568000\"]\n  6 -> 10 [size =\"45568000\"]\n  7 [size=\"111938560\", alpha=\"0.13\", expect_size=\"44775424\"] \n  7 -> 9 [size =\"44775424\"]\n  8 [size=\"94760960\", alpha=\"0.17\", expect_size=\"37904384\"] \n  9 [size=\"102594560\", alpha=\"0.14\", expect_size=\"41037824\"] \n  10 [size=\"69928960\", alpha=\"0.07\", expect_size=\"27971584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123757227\", alpha=\"0.19\", expect_size=\"37127168\"] \n  1 -> 10 [size =\"37127168\"]\n  2 [size=\"168895147\", alpha=\"0.07\", expect_size=\"50668544\"] \n  2 -> 10 [size =\"50668544\"]\n  3 [size=\"159802027\", alpha=\"0.04\", expect_size=\"47940608\"] \n  4 [size=\"82459307\", alpha=\"0.11\", expect_size=\"24737792\"] \n  5 [size=\"119091200\", alpha=\"0.12\", expect_size=\"35727360\"] \n  5 -> 9 [size =\"35727360\"]\n  6 [size=\"156535467\", alpha=\"0.10\", expect_size=\"46960640\"] \n  6 -> 10 [size =\"46960640\"]\n  7 [size=\"93480960\", alpha=\"0.01\", expect_size=\"28044288\"] \n  8 [size=\"85858987\", alpha=\"0.16\", expect_size=\"25757696\"] \n  8 -> 10 [size =\"25757696\"]\n  9 [size=\"124122453\", alpha=\"0.08\", expect_size=\"37236736\"] \n  10 [size=\"34590720\", alpha=\"0.06\", expect_size=\"10377216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54056960\", alpha=\"0.12\", expect_size=\"16217088\"] \n  1 -> 2 [size =\"16217088\"]\n  2 [size=\"42748587\", alpha=\"0.08\", expect_size=\"12824576\"] \n  2 -> 3 [size =\"12824576\"]\n  3 [size=\"169547093\", alpha=\"0.19\", expect_size=\"50864128\"] \n  3 -> 4 [size =\"50864128\"]\n  4 [size=\"146008747\", alpha=\"0.13\", expect_size=\"43802624\"] \n  4 -> 5 [size =\"43802624\"]\n  5 [size=\"91849387\", alpha=\"0.10\", expect_size=\"27554816\"] \n  5 -> 6 [size =\"27554816\"]\n  6 [size=\"135591253\", alpha=\"0.03\", expect_size=\"40677376\"] \n  6 -> 7 [size =\"40677376\"]\n  7 [size=\"27112107\", alpha=\"0.11\", expect_size=\"8133632\"] \n  7 -> 8 [size =\"8133632\"]\n  8 [size=\"123224747\", alpha=\"0.07\", expect_size=\"36967424\"] \n  8 -> 9 [size =\"36967424\"]\n  9 [size=\"173755733\", alpha=\"0.05\", expect_size=\"52126720\"] \n  9 -> 10 [size =\"52126720\"]\n  10 [size=\"25217707\", alpha=\"0.05\", expect_size=\"7565312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56709120\", alpha=\"0.18\", expect_size=\"17012736\"] \n  1 -> 2 [size =\"17012736\"]\n  2 [size=\"58688853\", alpha=\"0.17\", expect_size=\"17606656\"] \n  2 -> 3 [size =\"17606656\"]\n  3 [size=\"147671040\", alpha=\"0.06\", expect_size=\"44301312\"] \n  3 -> 4 [size =\"44301312\"]\n  4 [size=\"117903360\", alpha=\"0.06\", expect_size=\"35371008\"] \n  4 -> 5 [size =\"35371008\"]\n  5 [size=\"155279360\", alpha=\"0.09\", expect_size=\"46583808\"] \n  5 -> 6 [size =\"46583808\"]\n  6 [size=\"50080427\", alpha=\"0.11\", expect_size=\"15024128\"] \n  6 -> 7 [size =\"15024128\"]\n  7 [size=\"134529707\", alpha=\"0.16\", expect_size=\"40358912\"] \n  7 -> 8 [size =\"40358912\"]\n  8 [size=\"28829013\", alpha=\"0.14\", expect_size=\"8648704\"] \n  8 -> 9 [size =\"8648704\"]\n  9 [size=\"101454507\", alpha=\"0.01\", expect_size=\"30436352\"] \n  9 -> 10 [size =\"30436352\"]\n  10 [size=\"66539520\", alpha=\"0.13\", expect_size=\"19961856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103704576\", alpha=\"0.01\", expect_size=\"51852288\"] \n  1 -> 8 [size =\"51852288\"]\n  2 [size=\"37210112\", alpha=\"0.03\", expect_size=\"18605056\"] \n  2 -> 10 [size =\"18605056\"]\n  3 [size=\"79626240\", alpha=\"0.05\", expect_size=\"39813120\"] \n  3 -> 10 [size =\"39813120\"]\n  4 [size=\"93390848\", alpha=\"0.07\", expect_size=\"46695424\"] \n  4 -> 8 [size =\"46695424\"]\n  4 -> 10 [size =\"46695424\"]\n  5 [size=\"66031616\", alpha=\"0.04\", expect_size=\"33015808\"] \n  6 [size=\"101216256\", alpha=\"0.19\", expect_size=\"50608128\"] \n  6 -> 9 [size =\"50608128\"]\n  6 -> 10 [size =\"50608128\"]\n  7 [size=\"48951296\", alpha=\"0.16\", expect_size=\"24475648\"] \n  7 -> 9 [size =\"24475648\"]\n  8 [size=\"71819264\", alpha=\"0.03\", expect_size=\"35909632\"] \n  9 [size=\"50395136\", alpha=\"0.08\", expect_size=\"25197568\"] \n  10 [size=\"102541312\", alpha=\"0.19\", expect_size=\"51270656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46274560\", alpha=\"0.20\", expect_size=\"18509824\"] \n  1 -> 2 [size =\"18509824\"]\n  2 [size=\"67563520\", alpha=\"0.13\", expect_size=\"27025408\"] \n  2 -> 3 [size =\"27025408\"]\n  3 [size=\"77406720\", alpha=\"0.12\", expect_size=\"30962688\"] \n  3 -> 4 [size =\"30962688\"]\n  4 [size=\"45527040\", alpha=\"0.20\", expect_size=\"18210816\"] \n  4 -> 5 [size =\"18210816\"]\n  5 [size=\"33635840\", alpha=\"0.07\", expect_size=\"13454336\"] \n  5 -> 6 [size =\"13454336\"]\n  6 [size=\"25884160\", alpha=\"0.16\", expect_size=\"10353664\"] \n  6 -> 7 [size =\"10353664\"]\n  7 [size=\"83261440\", alpha=\"0.15\", expect_size=\"33304576\"] \n  7 -> 8 [size =\"33304576\"]\n  8 [size=\"113612800\", alpha=\"0.17\", expect_size=\"45445120\"] \n  8 -> 9 [size =\"45445120\"]\n  9 [size=\"23626240\", alpha=\"0.01\", expect_size=\"9450496\"] \n  9 -> 10 [size =\"9450496\"]\n  10 [size=\"108106240\", alpha=\"0.18\", expect_size=\"43242496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48196267\", alpha=\"0.16\", expect_size=\"14458880\"] \n  1 -> 8 [size =\"14458880\"]\n  2 [size=\"121746773\", alpha=\"0.16\", expect_size=\"36524032\"] \n  2 -> 7 [size =\"36524032\"]\n  2 -> 9 [size =\"36524032\"]\n  3 [size=\"166990507\", alpha=\"0.16\", expect_size=\"50097152\"] \n  4 [size=\"99505493\", alpha=\"0.01\", expect_size=\"29851648\"] \n  4 -> 9 [size =\"29851648\"]\n  5 [size=\"103966720\", alpha=\"0.08\", expect_size=\"31190016\"] \n  5 -> 8 [size =\"31190016\"]\n  5 -> 9 [size =\"31190016\"]\n  6 [size=\"98126507\", alpha=\"0.02\", expect_size=\"29437952\"] \n  6 -> 8 [size =\"29437952\"]\n  6 -> 9 [size =\"29437952\"]\n  6 -> 10 [size =\"29437952\"]\n  7 [size=\"47462400\", alpha=\"0.12\", expect_size=\"14238720\"] \n  8 [size=\"116138667\", alpha=\"0.01\", expect_size=\"34841600\"] \n  9 [size=\"136072533\", alpha=\"0.16\", expect_size=\"40821760\"] \n  10 [size=\"131037867\", alpha=\"0.05\", expect_size=\"39311360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58381653\", alpha=\"0.11\", expect_size=\"17514496\"] \n  1 -> 5 [size =\"17514496\"]\n  1 -> 7 [size =\"17514496\"]\n  1 -> 8 [size =\"17514496\"]\n  2 [size=\"118469973\", alpha=\"0.17\", expect_size=\"35540992\"] \n  2 -> 5 [size =\"35540992\"]\n  2 -> 6 [size =\"35540992\"]\n  2 -> 8 [size =\"35540992\"]\n  2 -> 9 [size =\"35540992\"]\n  3 [size=\"149548373\", alpha=\"0.13\", expect_size=\"44864512\"] \n  3 -> 6 [size =\"44864512\"]\n  3 -> 7 [size =\"44864512\"]\n  3 -> 8 [size =\"44864512\"]\n  3 -> 9 [size =\"44864512\"]\n  4 [size=\"146158933\", alpha=\"0.16\", expect_size=\"43847680\"] \n  4 -> 5 [size =\"43847680\"]\n  4 -> 7 [size =\"43847680\"]\n  5 [size=\"69515947\", alpha=\"0.11\", expect_size=\"20854784\"] \n  6 [size=\"111513600\", alpha=\"0.06\", expect_size=\"33454080\"] \n  7 [size=\"74226347\", alpha=\"0.04\", expect_size=\"22267904\"] \n  8 [size=\"27258880\", alpha=\"0.15\", expect_size=\"8177664\"] \n  9 [size=\"153152853\", alpha=\"0.06\", expect_size=\"45945856\"] \n  9 -> 10 [size =\"45945856\"]\n  10 [size=\"111503360\", alpha=\"0.04\", expect_size=\"33451008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48581120\", alpha=\"0.03\", expect_size=\"19432448\"] \n  1 -> 6 [size =\"19432448\"]\n  1 -> 8 [size =\"19432448\"]\n  1 -> 9 [size =\"19432448\"]\n  1 -> 10 [size =\"19432448\"]\n  2 [size=\"84426240\", alpha=\"0.08\", expect_size=\"33770496\"] \n  2 -> 5 [size =\"33770496\"]\n  2 -> 6 [size =\"33770496\"]\n  2 -> 7 [size =\"33770496\"]\n  2 -> 8 [size =\"33770496\"]\n  2 -> 9 [size =\"33770496\"]\n  2 -> 10 [size =\"33770496\"]\n  3 [size=\"20354560\", alpha=\"0.16\", expect_size=\"8141824\"] \n  3 -> 6 [size =\"8141824\"]\n  3 -> 7 [size =\"8141824\"]\n  3 -> 8 [size =\"8141824\"]\n  3 -> 10 [size =\"8141824\"]\n  4 [size=\"53811200\", alpha=\"0.03\", expect_size=\"21524480\"] \n  4 -> 6 [size =\"21524480\"]\n  4 -> 7 [size =\"21524480\"]\n  4 -> 9 [size =\"21524480\"]\n  4 -> 10 [size =\"21524480\"]\n  5 [size=\"75944960\", alpha=\"0.16\", expect_size=\"30377984\"] \n  6 [size=\"17904640\", alpha=\"0.09\", expect_size=\"7161856\"] \n  7 [size=\"111554560\", alpha=\"0.10\", expect_size=\"44621824\"] \n  8 [size=\"56578560\", alpha=\"0.01\", expect_size=\"22631424\"] \n  9 [size=\"92421120\", alpha=\"0.10\", expect_size=\"36968448\"] \n  10 [size=\"113180160\", alpha=\"0.13\", expect_size=\"45272064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82285227\", alpha=\"0.11\", expect_size=\"24685568\"] \n  1 -> 5 [size =\"24685568\"]\n  1 -> 7 [size =\"24685568\"]\n  1 -> 9 [size =\"24685568\"]\n  1 -> 10 [size =\"24685568\"]\n  2 [size=\"25920853\", alpha=\"0.20\", expect_size=\"7776256\"] \n  2 -> 5 [size =\"7776256\"]\n  2 -> 7 [size =\"7776256\"]\n  2 -> 9 [size =\"7776256\"]\n  2 -> 10 [size =\"7776256\"]\n  3 [size=\"46035627\", alpha=\"0.17\", expect_size=\"13810688\"] \n  3 -> 5 [size =\"13810688\"]\n  3 -> 8 [size =\"13810688\"]\n  3 -> 9 [size =\"13810688\"]\n  3 -> 10 [size =\"13810688\"]\n  4 [size=\"124436480\", alpha=\"0.06\", expect_size=\"37330944\"] \n  4 -> 5 [size =\"37330944\"]\n  4 -> 6 [size =\"37330944\"]\n  4 -> 7 [size =\"37330944\"]\n  4 -> 8 [size =\"37330944\"]\n  4 -> 9 [size =\"37330944\"]\n  4 -> 10 [size =\"37330944\"]\n  5 [size=\"22104747\", alpha=\"0.03\", expect_size=\"6631424\"] \n  6 [size=\"30928213\", alpha=\"0.15\", expect_size=\"9278464\"] \n  7 [size=\"95935147\", alpha=\"0.08\", expect_size=\"28780544\"] \n  8 [size=\"117196800\", alpha=\"0.10\", expect_size=\"35159040\"] \n  9 [size=\"114903040\", alpha=\"0.14\", expect_size=\"34470912\"] \n  10 [size=\"18800640\", alpha=\"0.02\", expect_size=\"5640192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129807360\", alpha=\"0.12\", expect_size=\"51922944\"] \n  1 -> 3 [size =\"51922944\"]\n  1 -> 4 [size =\"51922944\"]\n  1 -> 5 [size =\"51922944\"]\n  2 [size=\"46745600\", alpha=\"0.17\", expect_size=\"18698240\"] \n  2 -> 4 [size =\"18698240\"]\n  2 -> 5 [size =\"18698240\"]\n  3 [size=\"71472640\", alpha=\"0.08\", expect_size=\"28589056\"] \n  3 -> 6 [size =\"28589056\"]\n  4 [size=\"72281600\", alpha=\"0.10\", expect_size=\"28912640\"] \n  4 -> 6 [size =\"28912640\"]\n  4 -> 7 [size =\"28912640\"]\n  5 [size=\"24985600\", alpha=\"0.01\", expect_size=\"9994240\"] \n  5 -> 7 [size =\"9994240\"]\n  6 [size=\"87114240\", alpha=\"0.06\", expect_size=\"34845696\"] \n  6 -> 9 [size =\"34845696\"]\n  7 [size=\"114170880\", alpha=\"0.19\", expect_size=\"45668352\"] \n  7 -> 8 [size =\"45668352\"]\n  7 -> 9 [size =\"45668352\"]\n  8 [size=\"14935040\", alpha=\"0.07\", expect_size=\"5974016\"] \n  9 [size=\"84828160\", alpha=\"0.09\", expect_size=\"33931264\"] \n  9 -> 10 [size =\"33931264\"]\n  10 [size=\"40222720\", alpha=\"0.15\", expect_size=\"16089088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85952000\", alpha=\"0.16\", expect_size=\"34380800\"] \n  1 -> 7 [size =\"34380800\"]\n  1 -> 8 [size =\"34380800\"]\n  1 -> 9 [size =\"34380800\"]\n  2 [size=\"63897600\", alpha=\"0.13\", expect_size=\"25559040\"] \n  3 [size=\"118748160\", alpha=\"0.08\", expect_size=\"47499264\"] \n  3 -> 6 [size =\"47499264\"]\n  3 -> 7 [size =\"47499264\"]\n  3 -> 8 [size =\"47499264\"]\n  3 -> 9 [size =\"47499264\"]\n  3 -> 10 [size =\"47499264\"]\n  4 [size=\"109568000\", alpha=\"0.10\", expect_size=\"43827200\"] \n  4 -> 6 [size =\"43827200\"]\n  4 -> 7 [size =\"43827200\"]\n  4 -> 10 [size =\"43827200\"]\n  5 [size=\"129146880\", alpha=\"0.17\", expect_size=\"51658752\"] \n  5 -> 8 [size =\"51658752\"]\n  6 [size=\"87157760\", alpha=\"0.18\", expect_size=\"34863104\"] \n  7 [size=\"103966720\", alpha=\"0.14\", expect_size=\"41586688\"] \n  8 [size=\"24519680\", alpha=\"0.18\", expect_size=\"9807872\"] \n  9 [size=\"123097600\", alpha=\"0.01\", expect_size=\"49239040\"] \n  10 [size=\"99535360\", alpha=\"0.18\", expect_size=\"39814144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24629248\", alpha=\"0.01\", expect_size=\"12314624\"] \n  1 -> 5 [size =\"12314624\"]\n  1 -> 6 [size =\"12314624\"]\n  2 [size=\"35461120\", alpha=\"0.15\", expect_size=\"17730560\"] \n  2 -> 4 [size =\"17730560\"]\n  2 -> 5 [size =\"17730560\"]\n  3 [size=\"95764480\", alpha=\"0.06\", expect_size=\"47882240\"] \n  3 -> 4 [size =\"47882240\"]\n  3 -> 5 [size =\"47882240\"]\n  3 -> 6 [size =\"47882240\"]\n  4 [size=\"19314688\", alpha=\"0.14\", expect_size=\"9657344\"] \n  4 -> 7 [size =\"9657344\"]\n  5 [size=\"80054272\", alpha=\"0.08\", expect_size=\"40027136\"] \n  5 -> 9 [size =\"40027136\"]\n  6 [size=\"79603712\", alpha=\"0.13\", expect_size=\"39801856\"] \n  6 -> 7 [size =\"39801856\"]\n  6 -> 8 [size =\"39801856\"]\n  7 [size=\"22419456\", alpha=\"0.13\", expect_size=\"11209728\"] \n  7 -> 10 [size =\"11209728\"]\n  8 [size=\"46573568\", alpha=\"0.13\", expect_size=\"23286784\"] \n  8 -> 10 [size =\"23286784\"]\n  9 [size=\"79548416\", alpha=\"0.13\", expect_size=\"39774208\"] \n  10 [size=\"38281216\", alpha=\"0.08\", expect_size=\"19140608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97245184\", alpha=\"0.12\", expect_size=\"48622592\"] \n  1 -> 2 [size =\"48622592\"]\n  2 [size=\"75884544\", alpha=\"0.12\", expect_size=\"37942272\"] \n  2 -> 3 [size =\"37942272\"]\n  3 [size=\"66656256\", alpha=\"0.16\", expect_size=\"33328128\"] \n  3 -> 4 [size =\"33328128\"]\n  4 [size=\"62345216\", alpha=\"0.15\", expect_size=\"31172608\"] \n  4 -> 5 [size =\"31172608\"]\n  5 [size=\"59920384\", alpha=\"0.12\", expect_size=\"29960192\"] \n  5 -> 6 [size =\"29960192\"]\n  6 [size=\"41687040\", alpha=\"0.11\", expect_size=\"20843520\"] \n  6 -> 7 [size =\"20843520\"]\n  7 [size=\"48592896\", alpha=\"0.08\", expect_size=\"24296448\"] \n  7 -> 8 [size =\"24296448\"]\n  8 [size=\"74653696\", alpha=\"0.04\", expect_size=\"37326848\"] \n  8 -> 9 [size =\"37326848\"]\n  9 [size=\"48263168\", alpha=\"0.10\", expect_size=\"24131584\"] \n  9 -> 10 [size =\"24131584\"]\n  10 [size=\"73965568\", alpha=\"0.13\", expect_size=\"36982784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86586027\", alpha=\"0.18\", expect_size=\"25975808\"] \n  1 -> 2 [size =\"25975808\"]\n  2 [size=\"143045973\", alpha=\"0.10\", expect_size=\"42913792\"] \n  2 -> 3 [size =\"42913792\"]\n  3 [size=\"168649387\", alpha=\"0.14\", expect_size=\"50594816\"] \n  3 -> 4 [size =\"50594816\"]\n  4 [size=\"155432960\", alpha=\"0.17\", expect_size=\"46629888\"] \n  4 -> 5 [size =\"46629888\"]\n  5 [size=\"164515840\", alpha=\"0.11\", expect_size=\"49354752\"] \n  5 -> 6 [size =\"49354752\"]\n  6 [size=\"142749013\", alpha=\"0.19\", expect_size=\"42824704\"] \n  6 -> 7 [size =\"42824704\"]\n  7 [size=\"32945493\", alpha=\"0.02\", expect_size=\"9883648\"] \n  7 -> 8 [size =\"9883648\"]\n  8 [size=\"32245760\", alpha=\"0.01\", expect_size=\"9673728\"] \n  8 -> 9 [size =\"9673728\"]\n  9 [size=\"168103253\", alpha=\"0.06\", expect_size=\"50430976\"] \n  9 -> 10 [size =\"50430976\"]\n  10 [size=\"167813120\", alpha=\"0.01\", expect_size=\"50343936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174496427\", alpha=\"0.04\", expect_size=\"52348928\"] \n  1 -> 4 [size =\"52348928\"]\n  1 -> 7 [size =\"52348928\"]\n  1 -> 8 [size =\"52348928\"]\n  2 [size=\"129679360\", alpha=\"0.07\", expect_size=\"38903808\"] \n  2 -> 4 [size =\"38903808\"]\n  2 -> 5 [size =\"38903808\"]\n  2 -> 6 [size =\"38903808\"]\n  2 -> 9 [size =\"38903808\"]\n  3 [size=\"53353813\", alpha=\"0.12\", expect_size=\"16006144\"] \n  3 -> 4 [size =\"16006144\"]\n  3 -> 5 [size =\"16006144\"]\n  3 -> 6 [size =\"16006144\"]\n  3 -> 7 [size =\"16006144\"]\n  3 -> 8 [size =\"16006144\"]\n  3 -> 9 [size =\"16006144\"]\n  4 [size=\"48875520\", alpha=\"0.08\", expect_size=\"14662656\"] \n  4 -> 10 [size =\"14662656\"]\n  5 [size=\"163679573\", alpha=\"0.15\", expect_size=\"49103872\"] \n  6 [size=\"26760533\", alpha=\"0.07\", expect_size=\"8028160\"] \n  7 [size=\"167755093\", alpha=\"0.11\", expect_size=\"50326528\"] \n  8 [size=\"93685760\", alpha=\"0.12\", expect_size=\"28105728\"] \n  9 [size=\"67126613\", alpha=\"0.15\", expect_size=\"20137984\"] \n  10 [size=\"68672853\", alpha=\"0.10\", expect_size=\"20601856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30295040\", alpha=\"0.03\", expect_size=\"12118016\"] \n  1 -> 3 [size =\"12118016\"]\n  2 [size=\"67248640\", alpha=\"0.20\", expect_size=\"26899456\"] \n  2 -> 3 [size =\"26899456\"]\n  3 [size=\"65848320\", alpha=\"0.10\", expect_size=\"26339328\"] \n  3 -> 4 [size =\"26339328\"]\n  4 [size=\"120737280\", alpha=\"0.14\", expect_size=\"48294912\"] \n  4 -> 5 [size =\"48294912\"]\n  4 -> 6 [size =\"48294912\"]\n  4 -> 7 [size =\"48294912\"]\n  5 [size=\"46809600\", alpha=\"0.11\", expect_size=\"18723840\"] \n  5 -> 9 [size =\"18723840\"]\n  5 -> 10 [size =\"18723840\"]\n  6 [size=\"73528320\", alpha=\"0.15\", expect_size=\"29411328\"] \n  6 -> 8 [size =\"29411328\"]\n  7 [size=\"52016640\", alpha=\"0.04\", expect_size=\"20806656\"] \n  7 -> 8 [size =\"20806656\"]\n  7 -> 10 [size =\"20806656\"]\n  8 [size=\"19712000\", alpha=\"0.19\", expect_size=\"7884800\"] \n  9 [size=\"60485120\", alpha=\"0.08\", expect_size=\"24194048\"] \n  10 [size=\"70361600\", alpha=\"0.01\", expect_size=\"28144640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130634240\", alpha=\"0.06\", expect_size=\"52253696\"] \n  1 -> 2 [size =\"52253696\"]\n  2 [size=\"25950720\", alpha=\"0.16\", expect_size=\"10380288\"] \n  2 -> 3 [size =\"10380288\"]\n  3 [size=\"19048960\", alpha=\"0.17\", expect_size=\"7619584\"] \n  3 -> 4 [size =\"7619584\"]\n  4 [size=\"113064960\", alpha=\"0.04\", expect_size=\"45225984\"] \n  4 -> 5 [size =\"45225984\"]\n  5 [size=\"30848000\", alpha=\"0.08\", expect_size=\"12339200\"] \n  5 -> 6 [size =\"12339200\"]\n  6 [size=\"33185280\", alpha=\"0.12\", expect_size=\"13274112\"] \n  6 -> 7 [size =\"13274112\"]\n  7 [size=\"30848000\", alpha=\"0.06\", expect_size=\"12339200\"] \n  7 -> 8 [size =\"12339200\"]\n  8 [size=\"47874560\", alpha=\"0.01\", expect_size=\"19149824\"] \n  8 -> 9 [size =\"19149824\"]\n  9 [size=\"22225920\", alpha=\"0.03\", expect_size=\"8890368\"] \n  9 -> 10 [size =\"8890368\"]\n  10 [size=\"100323840\", alpha=\"0.04\", expect_size=\"40129536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95351467\", alpha=\"0.07\", expect_size=\"28605440\"] \n  2 [size=\"90760533\", alpha=\"0.00\", expect_size=\"27228160\"] \n  2 -> 3 [size =\"27228160\"]\n  2 -> 4 [size =\"27228160\"]\n  2 -> 5 [size =\"27228160\"]\n  3 [size=\"59781120\", alpha=\"0.12\", expect_size=\"17934336\"] \n  3 -> 6 [size =\"17934336\"]\n  3 -> 7 [size =\"17934336\"]\n  4 [size=\"118531413\", alpha=\"0.05\", expect_size=\"35559424\"] \n  5 [size=\"23381333\", alpha=\"0.20\", expect_size=\"7014400\"] \n  5 -> 6 [size =\"7014400\"]\n  6 [size=\"34877440\", alpha=\"0.09\", expect_size=\"10463232\"] \n  6 -> 8 [size =\"10463232\"]\n  6 -> 9 [size =\"10463232\"]\n  7 [size=\"72956587\", alpha=\"0.00\", expect_size=\"21886976\"] \n  7 -> 8 [size =\"21886976\"]\n  7 -> 9 [size =\"21886976\"]\n  7 -> 10 [size =\"21886976\"]\n  8 [size=\"151012693\", alpha=\"0.15\", expect_size=\"45303808\"] \n  9 [size=\"70458027\", alpha=\"0.07\", expect_size=\"21137408\"] \n  10 [size=\"106854400\", alpha=\"0.14\", expect_size=\"32056320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73569280\", alpha=\"0.02\", expect_size=\"29427712\"] \n  1 -> 2 [size =\"29427712\"]\n  2 [size=\"96801280\", alpha=\"0.04\", expect_size=\"38720512\"] \n  2 -> 3 [size =\"38720512\"]\n  3 [size=\"120506880\", alpha=\"0.05\", expect_size=\"48202752\"] \n  3 -> 4 [size =\"48202752\"]\n  4 [size=\"32890880\", alpha=\"0.06\", expect_size=\"13156352\"] \n  4 -> 5 [size =\"13156352\"]\n  5 [size=\"78292480\", alpha=\"0.08\", expect_size=\"31316992\"] \n  5 -> 6 [size =\"31316992\"]\n  6 [size=\"86873600\", alpha=\"0.10\", expect_size=\"34749440\"] \n  6 -> 7 [size =\"34749440\"]\n  7 [size=\"111252480\", alpha=\"0.01\", expect_size=\"44500992\"] \n  7 -> 8 [size =\"44500992\"]\n  8 [size=\"35891200\", alpha=\"0.18\", expect_size=\"14356480\"] \n  8 -> 9 [size =\"14356480\"]\n  9 [size=\"26803200\", alpha=\"0.18\", expect_size=\"10721280\"] \n  9 -> 10 [size =\"10721280\"]\n  10 [size=\"72143360\", alpha=\"0.12\", expect_size=\"28857344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168290987\", alpha=\"0.14\", expect_size=\"50487296\"] \n  1 -> 6 [size =\"50487296\"]\n  1 -> 7 [size =\"50487296\"]\n  1 -> 9 [size =\"50487296\"]\n  1 -> 10 [size =\"50487296\"]\n  2 [size=\"90248533\", alpha=\"0.08\", expect_size=\"27074560\"] \n  2 -> 7 [size =\"27074560\"]\n  2 -> 9 [size =\"27074560\"]\n  2 -> 10 [size =\"27074560\"]\n  3 [size=\"61890560\", alpha=\"0.11\", expect_size=\"18567168\"] \n  3 -> 10 [size =\"18567168\"]\n  4 [size=\"81510400\", alpha=\"0.06\", expect_size=\"24453120\"] \n  4 -> 7 [size =\"24453120\"]\n  4 -> 8 [size =\"24453120\"]\n  5 [size=\"72294400\", alpha=\"0.15\", expect_size=\"21688320\"] \n  5 -> 7 [size =\"21688320\"]\n  5 -> 9 [size =\"21688320\"]\n  6 [size=\"151999147\", alpha=\"0.20\", expect_size=\"45599744\"] \n  7 [size=\"163338240\", alpha=\"0.19\", expect_size=\"49001472\"] \n  8 [size=\"22831787\", alpha=\"0.02\", expect_size=\"6849536\"] \n  9 [size=\"141421227\", alpha=\"0.10\", expect_size=\"42426368\"] \n  10 [size=\"135959893\", alpha=\"0.02\", expect_size=\"40787968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160887467\", alpha=\"0.10\", expect_size=\"48266240\"] \n  1 -> 3 [size =\"48266240\"]\n  1 -> 4 [size =\"48266240\"]\n  1 -> 5 [size =\"48266240\"]\n  2 [size=\"80742400\", alpha=\"0.11\", expect_size=\"24222720\"] \n  2 -> 3 [size =\"24222720\"]\n  2 -> 4 [size =\"24222720\"]\n  2 -> 5 [size =\"24222720\"]\n  3 [size=\"55453013\", alpha=\"0.08\", expect_size=\"16635904\"] \n  3 -> 6 [size =\"16635904\"]\n  4 [size=\"150251520\", alpha=\"0.03\", expect_size=\"45075456\"] \n  4 -> 7 [size =\"45075456\"]\n  5 [size=\"158798507\", alpha=\"0.06\", expect_size=\"47639552\"] \n  6 [size=\"110178987\", alpha=\"0.17\", expect_size=\"33053696\"] \n  6 -> 8 [size =\"33053696\"]\n  7 [size=\"64136533\", alpha=\"0.11\", expect_size=\"19240960\"] \n  7 -> 8 [size =\"19240960\"]\n  7 -> 9 [size =\"19240960\"]\n  8 [size=\"53879467\", alpha=\"0.14\", expect_size=\"16163840\"] \n  9 [size=\"81807360\", alpha=\"0.00\", expect_size=\"24542208\"] \n  9 -> 10 [size =\"24542208\"]\n  10 [size=\"64119467\", alpha=\"0.04\", expect_size=\"19235840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89964544\", alpha=\"0.17\", expect_size=\"44982272\"] \n  1 -> 5 [size =\"44982272\"]\n  2 [size=\"62271488\", alpha=\"0.10\", expect_size=\"31135744\"] \n  2 -> 6 [size =\"31135744\"]\n  2 -> 7 [size =\"31135744\"]\n  3 [size=\"33888256\", alpha=\"0.01\", expect_size=\"16944128\"] \n  3 -> 4 [size =\"16944128\"]\n  4 [size=\"59559936\", alpha=\"0.06\", expect_size=\"29779968\"] \n  4 -> 10 [size =\"29779968\"]\n  5 [size=\"53032960\", alpha=\"0.18\", expect_size=\"26516480\"] \n  5 -> 9 [size =\"26516480\"]\n  6 [size=\"94009344\", alpha=\"0.05\", expect_size=\"47004672\"] \n  6 -> 8 [size =\"47004672\"]\n  6 -> 9 [size =\"47004672\"]\n  7 [size=\"68569088\", alpha=\"0.01\", expect_size=\"34284544\"] \n  7 -> 8 [size =\"34284544\"]\n  7 -> 10 [size =\"34284544\"]\n  8 [size=\"34174976\", alpha=\"0.13\", expect_size=\"17087488\"] \n  9 [size=\"74211328\", alpha=\"0.00\", expect_size=\"37105664\"] \n  10 [size=\"79742976\", alpha=\"0.05\", expect_size=\"39871488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66013184\", alpha=\"0.06\", expect_size=\"33006592\"] \n  1 -> 2 [size =\"33006592\"]\n  2 [size=\"22167552\", alpha=\"0.17\", expect_size=\"11083776\"] \n  2 -> 3 [size =\"11083776\"]\n  3 [size=\"91967488\", alpha=\"0.15\", expect_size=\"45983744\"] \n  3 -> 4 [size =\"45983744\"]\n  4 [size=\"54138880\", alpha=\"0.04\", expect_size=\"27069440\"] \n  4 -> 5 [size =\"27069440\"]\n  5 [size=\"74201088\", alpha=\"0.14\", expect_size=\"37100544\"] \n  5 -> 6 [size =\"37100544\"]\n  6 [size=\"101048320\", alpha=\"0.01\", expect_size=\"50524160\"] \n  6 -> 7 [size =\"50524160\"]\n  7 [size=\"17246208\", alpha=\"0.09\", expect_size=\"8623104\"] \n  7 -> 8 [size =\"8623104\"]\n  8 [size=\"85886976\", alpha=\"0.15\", expect_size=\"42943488\"] \n  8 -> 9 [size =\"42943488\"]\n  9 [size=\"37062656\", alpha=\"0.11\", expect_size=\"18531328\"] \n  9 -> 10 [size =\"18531328\"]\n  10 [size=\"15446016\", alpha=\"0.03\", expect_size=\"7723008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74219520\", alpha=\"0.02\", expect_size=\"22265856\"] \n  2 [size=\"47684267\", alpha=\"0.10\", expect_size=\"14305280\"] \n  3 [size=\"135062187\", alpha=\"0.12\", expect_size=\"40518656\"] \n  4 [size=\"112325973\", alpha=\"0.02\", expect_size=\"33697792\"] \n  5 [size=\"52418560\", alpha=\"0.06\", expect_size=\"15725568\"] \n  6 [size=\"130788693\", alpha=\"0.03\", expect_size=\"39236608\"] \n  7 [size=\"61334187\", alpha=\"0.17\", expect_size=\"18400256\"] \n  8 [size=\"28798293\", alpha=\"0.03\", expect_size=\"8639488\"] \n  9 [size=\"81623040\", alpha=\"0.19\", expect_size=\"24486912\"] \n  10 [size=\"55920640\", alpha=\"0.04\", expect_size=\"16776192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87175680\", alpha=\"0.19\", expect_size=\"34870272\"] \n  1 -> 2 [size =\"34870272\"]\n  2 [size=\"111336960\", alpha=\"0.14\", expect_size=\"44534784\"] \n  2 -> 3 [size =\"44534784\"]\n  3 [size=\"82936320\", alpha=\"0.01\", expect_size=\"33174528\"] \n  3 -> 4 [size =\"33174528\"]\n  4 [size=\"85350400\", alpha=\"0.09\", expect_size=\"34140160\"] \n  4 -> 5 [size =\"34140160\"]\n  5 [size=\"129820160\", alpha=\"0.13\", expect_size=\"51928064\"] \n  5 -> 6 [size =\"51928064\"]\n  6 [size=\"116974080\", alpha=\"0.07\", expect_size=\"46789632\"] \n  6 -> 7 [size =\"46789632\"]\n  7 [size=\"124725760\", alpha=\"0.09\", expect_size=\"49890304\"] \n  7 -> 8 [size =\"49890304\"]\n  8 [size=\"25850880\", alpha=\"0.19\", expect_size=\"10340352\"] \n  8 -> 9 [size =\"10340352\"]\n  9 [size=\"57036800\", alpha=\"0.12\", expect_size=\"22814720\"] \n  9 -> 10 [size =\"22814720\"]\n  10 [size=\"23623680\", alpha=\"0.09\", expect_size=\"9449472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118565547\", alpha=\"0.15\", expect_size=\"35569664\"] \n  1 -> 2 [size =\"35569664\"]\n  2 [size=\"164000427\", alpha=\"0.03\", expect_size=\"49200128\"] \n  2 -> 3 [size =\"49200128\"]\n  3 [size=\"166871040\", alpha=\"0.09\", expect_size=\"50061312\"] \n  3 -> 4 [size =\"50061312\"]\n  4 [size=\"85114880\", alpha=\"0.11\", expect_size=\"25534464\"] \n  4 -> 5 [size =\"25534464\"]\n  5 [size=\"78520320\", alpha=\"0.02\", expect_size=\"23556096\"] \n  5 -> 6 [size =\"23556096\"]\n  6 [size=\"148210347\", alpha=\"0.15\", expect_size=\"44463104\"] \n  6 -> 7 [size =\"44463104\"]\n  7 [size=\"36689920\", alpha=\"0.03\", expect_size=\"11006976\"] \n  7 -> 8 [size =\"11006976\"]\n  8 [size=\"96003413\", alpha=\"0.05\", expect_size=\"28801024\"] \n  8 -> 9 [size =\"28801024\"]\n  9 [size=\"159351467\", alpha=\"0.17\", expect_size=\"47805440\"] \n  9 -> 10 [size =\"47805440\"]\n  10 [size=\"70737920\", alpha=\"0.16\", expect_size=\"21221376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102748160\", alpha=\"0.01\", expect_size=\"30824448\"] \n  1 -> 5 [size =\"30824448\"]\n  1 -> 6 [size =\"30824448\"]\n  1 -> 7 [size =\"30824448\"]\n  2 [size=\"120920747\", alpha=\"0.01\", expect_size=\"36276224\"] \n  2 -> 5 [size =\"36276224\"]\n  2 -> 6 [size =\"36276224\"]\n  2 -> 7 [size =\"36276224\"]\n  2 -> 9 [size =\"36276224\"]\n  3 [size=\"110783147\", alpha=\"0.04\", expect_size=\"33234944\"] \n  3 -> 5 [size =\"33234944\"]\n  3 -> 6 [size =\"33234944\"]\n  3 -> 8 [size =\"33234944\"]\n  4 [size=\"101061973\", alpha=\"0.15\", expect_size=\"30318592\"] \n  4 -> 8 [size =\"30318592\"]\n  5 [size=\"103239680\", alpha=\"0.11\", expect_size=\"30971904\"] \n  6 [size=\"67078827\", alpha=\"0.09\", expect_size=\"20123648\"] \n  7 [size=\"120620373\", alpha=\"0.15\", expect_size=\"36186112\"] \n  8 [size=\"24500907\", alpha=\"0.15\", expect_size=\"7350272\"] \n  8 -> 10 [size =\"7350272\"]\n  9 [size=\"116152320\", alpha=\"0.13\", expect_size=\"34845696\"] \n  9 -> 10 [size =\"34845696\"]\n  10 [size=\"157498027\", alpha=\"0.10\", expect_size=\"47249408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34063360\", alpha=\"0.07\", expect_size=\"13625344\"] \n  1 -> 2 [size =\"13625344\"]\n  2 [size=\"88028160\", alpha=\"0.09\", expect_size=\"35211264\"] \n  2 -> 3 [size =\"35211264\"]\n  3 [size=\"92372480\", alpha=\"0.04\", expect_size=\"36948992\"] \n  3 -> 4 [size =\"36948992\"]\n  4 [size=\"21616640\", alpha=\"0.05\", expect_size=\"8646656\"] \n  4 -> 5 [size =\"8646656\"]\n  5 [size=\"94853120\", alpha=\"0.20\", expect_size=\"37941248\"] \n  5 -> 6 [size =\"37941248\"]\n  6 [size=\"41484800\", alpha=\"0.00\", expect_size=\"16593920\"] \n  6 -> 7 [size =\"16593920\"]\n  7 [size=\"70033920\", alpha=\"0.02\", expect_size=\"28013568\"] \n  7 -> 8 [size =\"28013568\"]\n  8 [size=\"47411200\", alpha=\"0.08\", expect_size=\"18964480\"] \n  8 -> 9 [size =\"18964480\"]\n  9 [size=\"127659520\", alpha=\"0.18\", expect_size=\"51063808\"] \n  9 -> 10 [size =\"51063808\"]\n  10 [size=\"113162240\", alpha=\"0.01\", expect_size=\"45264896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169123840\", alpha=\"0.17\", expect_size=\"50737152\"] \n  1 -> 9 [size =\"50737152\"]\n  1 -> 10 [size =\"50737152\"]\n  2 [size=\"168389973\", alpha=\"0.01\", expect_size=\"50516992\"] \n  2 -> 9 [size =\"50516992\"]\n  3 [size=\"104977067\", alpha=\"0.06\", expect_size=\"31493120\"] \n  3 -> 10 [size =\"31493120\"]\n  4 [size=\"68741120\", alpha=\"0.05\", expect_size=\"20622336\"] \n  4 -> 10 [size =\"20622336\"]\n  5 [size=\"62064640\", alpha=\"0.18\", expect_size=\"18619392\"] \n  5 -> 9 [size =\"18619392\"]\n  6 [size=\"114186240\", alpha=\"0.19\", expect_size=\"34255872\"] \n  6 -> 10 [size =\"34255872\"]\n  7 [size=\"37120000\", alpha=\"0.06\", expect_size=\"11136000\"] \n  7 -> 10 [size =\"11136000\"]\n  8 [size=\"46622720\", alpha=\"0.17\", expect_size=\"13986816\"] \n  9 [size=\"112523947\", alpha=\"0.11\", expect_size=\"33757184\"] \n  10 [size=\"111462400\", alpha=\"0.10\", expect_size=\"33438720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30072832\", alpha=\"0.13\", expect_size=\"15036416\"] \n  1 -> 2 [size =\"15036416\"]\n  2 [size=\"81442816\", alpha=\"0.18\", expect_size=\"40721408\"] \n  2 -> 3 [size =\"40721408\"]\n  3 [size=\"15310848\", alpha=\"0.02\", expect_size=\"7655424\"] \n  3 -> 4 [size =\"7655424\"]\n  4 [size=\"96845824\", alpha=\"0.08\", expect_size=\"48422912\"] \n  4 -> 5 [size =\"48422912\"]\n  5 [size=\"69173248\", alpha=\"0.10\", expect_size=\"34586624\"] \n  5 -> 6 [size =\"34586624\"]\n  6 [size=\"79116288\", alpha=\"0.09\", expect_size=\"39558144\"] \n  6 -> 7 [size =\"39558144\"]\n  7 [size=\"76683264\", alpha=\"0.08\", expect_size=\"38341632\"] \n  7 -> 8 [size =\"38341632\"]\n  8 [size=\"32499712\", alpha=\"0.06\", expect_size=\"16249856\"] \n  8 -> 9 [size =\"16249856\"]\n  9 [size=\"16330752\", alpha=\"0.05\", expect_size=\"8165376\"] \n  9 -> 10 [size =\"8165376\"]\n  10 [size=\"73795584\", alpha=\"0.10\", expect_size=\"36897792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19438933\", alpha=\"0.08\", expect_size=\"5831680\"] \n  2 [size=\"155900587\", alpha=\"0.06\", expect_size=\"46770176\"] \n  3 [size=\"158003200\", alpha=\"0.14\", expect_size=\"47400960\"] \n  3 -> 9 [size =\"47400960\"]\n  4 [size=\"40550400\", alpha=\"0.07\", expect_size=\"12165120\"] \n  4 -> 9 [size =\"12165120\"]\n  5 [size=\"46206293\", alpha=\"0.08\", expect_size=\"13861888\"] \n  5 -> 9 [size =\"13861888\"]\n  6 [size=\"118620160\", alpha=\"0.04\", expect_size=\"35586048\"] \n  6 -> 10 [size =\"35586048\"]\n  7 [size=\"155477333\", alpha=\"0.10\", expect_size=\"46643200\"] \n  7 -> 9 [size =\"46643200\"]\n  7 -> 10 [size =\"46643200\"]\n  8 [size=\"168403627\", alpha=\"0.03\", expect_size=\"50521088\"] \n  8 -> 10 [size =\"50521088\"]\n  9 [size=\"94010027\", alpha=\"0.17\", expect_size=\"28203008\"] \n  10 [size=\"101355520\", alpha=\"0.12\", expect_size=\"30406656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55650987\", alpha=\"0.05\", expect_size=\"16695296\"] \n  1 -> 2 [size =\"16695296\"]\n  2 [size=\"167796053\", alpha=\"0.05\", expect_size=\"50338816\"] \n  2 -> 3 [size =\"50338816\"]\n  3 [size=\"60521813\", alpha=\"0.07\", expect_size=\"18156544\"] \n  3 -> 4 [size =\"18156544\"]\n  4 [size=\"26586453\", alpha=\"0.12\", expect_size=\"7975936\"] \n  4 -> 5 [size =\"7975936\"]\n  5 [size=\"84770133\", alpha=\"0.08\", expect_size=\"25431040\"] \n  5 -> 6 [size =\"25431040\"]\n  6 [size=\"117876053\", alpha=\"0.14\", expect_size=\"35362816\"] \n  6 -> 7 [size =\"35362816\"]\n  7 [size=\"27620693\", alpha=\"0.17\", expect_size=\"8286208\"] \n  7 -> 8 [size =\"8286208\"]\n  8 [size=\"21988693\", alpha=\"0.09\", expect_size=\"6596608\"] \n  8 -> 9 [size =\"6596608\"]\n  9 [size=\"38952960\", alpha=\"0.06\", expect_size=\"11685888\"] \n  9 -> 10 [size =\"11685888\"]\n  10 [size=\"125726720\", alpha=\"0.06\", expect_size=\"37718016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137803093\", alpha=\"0.01\", expect_size=\"41340928\"] \n  1 -> 2 [size =\"41340928\"]\n  2 [size=\"106052267\", alpha=\"0.03\", expect_size=\"31815680\"] \n  2 -> 3 [size =\"31815680\"]\n  3 [size=\"118353920\", alpha=\"0.15\", expect_size=\"35506176\"] \n  3 -> 4 [size =\"35506176\"]\n  4 [size=\"78308693\", alpha=\"0.04\", expect_size=\"23492608\"] \n  4 -> 5 [size =\"23492608\"]\n  5 [size=\"149500587\", alpha=\"0.17\", expect_size=\"44850176\"] \n  5 -> 6 [size =\"44850176\"]\n  6 [size=\"112431787\", alpha=\"0.02\", expect_size=\"33729536\"] \n  6 -> 7 [size =\"33729536\"]\n  7 [size=\"57941333\", alpha=\"0.12\", expect_size=\"17382400\"] \n  7 -> 8 [size =\"17382400\"]\n  8 [size=\"165212160\", alpha=\"0.06\", expect_size=\"49563648\"] \n  8 -> 9 [size =\"49563648\"]\n  9 [size=\"125781333\", alpha=\"0.12\", expect_size=\"37734400\"] \n  9 -> 10 [size =\"37734400\"]\n  10 [size=\"169058987\", alpha=\"0.04\", expect_size=\"50717696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60573013\", alpha=\"0.07\", expect_size=\"18171904\"] \n  1 -> 2 [size =\"18171904\"]\n  2 [size=\"120459947\", alpha=\"0.01\", expect_size=\"36137984\"] \n  2 -> 3 [size =\"36137984\"]\n  3 [size=\"173236907\", alpha=\"0.03\", expect_size=\"51971072\"] \n  3 -> 4 [size =\"51971072\"]\n  4 [size=\"126535680\", alpha=\"0.06\", expect_size=\"37960704\"] \n  4 -> 5 [size =\"37960704\"]\n  5 [size=\"131450880\", alpha=\"0.16\", expect_size=\"39435264\"] \n  5 -> 6 [size =\"39435264\"]\n  6 [size=\"23456427\", alpha=\"0.20\", expect_size=\"7036928\"] \n  6 -> 7 [size =\"7036928\"]\n  7 [size=\"82486613\", alpha=\"0.06\", expect_size=\"24745984\"] \n  7 -> 8 [size =\"24745984\"]\n  8 [size=\"144322560\", alpha=\"0.02\", expect_size=\"43296768\"] \n  8 -> 9 [size =\"43296768\"]\n  9 [size=\"125893973\", alpha=\"0.06\", expect_size=\"37768192\"] \n  9 -> 10 [size =\"37768192\"]\n  10 [size=\"124207787\", alpha=\"0.11\", expect_size=\"37262336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60069888\", alpha=\"0.13\", expect_size=\"30034944\"] \n  1 -> 4 [size =\"30034944\"]\n  1 -> 5 [size =\"30034944\"]\n  1 -> 6 [size =\"30034944\"]\n  1 -> 8 [size =\"30034944\"]\n  2 [size=\"30695424\", alpha=\"0.07\", expect_size=\"15347712\"] \n  2 -> 6 [size =\"15347712\"]\n  3 [size=\"84224000\", alpha=\"0.19\", expect_size=\"42112000\"] \n  3 -> 6 [size =\"42112000\"]\n  3 -> 7 [size =\"42112000\"]\n  4 [size=\"24936448\", alpha=\"0.02\", expect_size=\"12468224\"] \n  4 -> 9 [size =\"12468224\"]\n  5 [size=\"103380992\", alpha=\"0.15\", expect_size=\"51690496\"] \n  6 [size=\"12945408\", alpha=\"0.09\", expect_size=\"6472704\"] \n  7 [size=\"50329600\", alpha=\"0.19\", expect_size=\"25164800\"] \n  8 [size=\"35764224\", alpha=\"0.13\", expect_size=\"17882112\"] \n  8 -> 9 [size =\"17882112\"]\n  8 -> 10 [size =\"17882112\"]\n  9 [size=\"93050880\", alpha=\"0.11\", expect_size=\"46525440\"] \n  10 [size=\"13012992\", alpha=\"0.03\", expect_size=\"6506496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42234880\", alpha=\"0.19\", expect_size=\"16893952\"] \n  1 -> 4 [size =\"16893952\"]\n  1 -> 5 [size =\"16893952\"]\n  2 [size=\"42071040\", alpha=\"0.09\", expect_size=\"16828416\"] \n  2 -> 4 [size =\"16828416\"]\n  2 -> 5 [size =\"16828416\"]\n  3 [size=\"109862400\", alpha=\"0.19\", expect_size=\"43944960\"] \n  3 -> 4 [size =\"43944960\"]\n  3 -> 5 [size =\"43944960\"]\n  4 [size=\"115960320\", alpha=\"0.08\", expect_size=\"46384128\"] \n  4 -> 6 [size =\"46384128\"]\n  4 -> 8 [size =\"46384128\"]\n  5 [size=\"40099840\", alpha=\"0.08\", expect_size=\"16039936\"] \n  5 -> 6 [size =\"16039936\"]\n  5 -> 7 [size =\"16039936\"]\n  5 -> 8 [size =\"16039936\"]\n  6 [size=\"55019520\", alpha=\"0.11\", expect_size=\"22007808\"] \n  6 -> 9 [size =\"22007808\"]\n  6 -> 10 [size =\"22007808\"]\n  7 [size=\"19402240\", alpha=\"0.15\", expect_size=\"7760896\"] \n  7 -> 10 [size =\"7760896\"]\n  8 [size=\"128258560\", alpha=\"0.06\", expect_size=\"51303424\"] \n  8 -> 9 [size =\"51303424\"]\n  8 -> 10 [size =\"51303424\"]\n  9 [size=\"49482240\", alpha=\"0.15\", expect_size=\"19792896\"] \n  10 [size=\"29578240\", alpha=\"0.06\", expect_size=\"11831296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89311232\", alpha=\"0.05\", expect_size=\"44655616\"] \n  1 -> 2 [size =\"44655616\"]\n  2 [size=\"102115328\", alpha=\"0.07\", expect_size=\"51057664\"] \n  2 -> 3 [size =\"51057664\"]\n  3 [size=\"18681856\", alpha=\"0.16\", expect_size=\"9340928\"] \n  3 -> 4 [size =\"9340928\"]\n  4 [size=\"74000384\", alpha=\"0.13\", expect_size=\"37000192\"] \n  4 -> 5 [size =\"37000192\"]\n  5 [size=\"53161984\", alpha=\"0.04\", expect_size=\"26580992\"] \n  5 -> 6 [size =\"26580992\"]\n  6 [size=\"97972224\", alpha=\"0.13\", expect_size=\"48986112\"] \n  6 -> 7 [size =\"48986112\"]\n  7 [size=\"103407616\", alpha=\"0.20\", expect_size=\"51703808\"] \n  7 -> 8 [size =\"51703808\"]\n  8 [size=\"60639232\", alpha=\"0.13\", expect_size=\"30319616\"] \n  8 -> 9 [size =\"30319616\"]\n  9 [size=\"42479616\", alpha=\"0.14\", expect_size=\"21239808\"] \n  9 -> 10 [size =\"21239808\"]\n  10 [size=\"104792064\", alpha=\"0.05\", expect_size=\"52396032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91099136\", alpha=\"0.01\", expect_size=\"45549568\"] \n  1 -> 2 [size =\"45549568\"]\n  2 [size=\"17526784\", alpha=\"0.15\", expect_size=\"8763392\"] \n  2 -> 3 [size =\"8763392\"]\n  3 [size=\"100171776\", alpha=\"0.14\", expect_size=\"50085888\"] \n  3 -> 4 [size =\"50085888\"]\n  4 [size=\"104591360\", alpha=\"0.05\", expect_size=\"52295680\"] \n  4 -> 5 [size =\"52295680\"]\n  5 [size=\"44322816\", alpha=\"0.13\", expect_size=\"22161408\"] \n  5 -> 6 [size =\"22161408\"]\n  6 [size=\"46972928\", alpha=\"0.11\", expect_size=\"23486464\"] \n  6 -> 7 [size =\"23486464\"]\n  7 [size=\"26624000\", alpha=\"0.15\", expect_size=\"13312000\"] \n  7 -> 8 [size =\"13312000\"]\n  8 [size=\"51527680\", alpha=\"0.10\", expect_size=\"25763840\"] \n  8 -> 9 [size =\"25763840\"]\n  9 [size=\"46632960\", alpha=\"0.09\", expect_size=\"23316480\"] \n  9 -> 10 [size =\"23316480\"]\n  10 [size=\"82749440\", alpha=\"0.03\", expect_size=\"41374720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73676800\", alpha=\"0.07\", expect_size=\"22103040\"] \n  1 -> 8 [size =\"22103040\"]\n  1 -> 9 [size =\"22103040\"]\n  2 [size=\"161570133\", alpha=\"0.10\", expect_size=\"48471040\"] \n  2 -> 8 [size =\"48471040\"]\n  3 [size=\"140902400\", alpha=\"0.07\", expect_size=\"42270720\"] \n  3 -> 8 [size =\"42270720\"]\n  3 -> 10 [size =\"42270720\"]\n  4 [size=\"55408640\", alpha=\"0.04\", expect_size=\"16622592\"] \n  4 -> 8 [size =\"16622592\"]\n  4 -> 9 [size =\"16622592\"]\n  5 [size=\"104502613\", alpha=\"0.16\", expect_size=\"31350784\"] \n  5 -> 8 [size =\"31350784\"]\n  5 -> 9 [size =\"31350784\"]\n  6 [size=\"155480747\", alpha=\"0.06\", expect_size=\"46644224\"] \n  6 -> 8 [size =\"46644224\"]\n  6 -> 9 [size =\"46644224\"]\n  7 [size=\"102826667\", alpha=\"0.15\", expect_size=\"30848000\"] \n  7 -> 8 [size =\"30848000\"]\n  7 -> 9 [size =\"30848000\"]\n  8 [size=\"160088747\", alpha=\"0.07\", expect_size=\"48026624\"] \n  9 [size=\"73198933\", alpha=\"0.17\", expect_size=\"21959680\"] \n  10 [size=\"106956800\", alpha=\"0.17\", expect_size=\"32087040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28480853\", alpha=\"0.05\", expect_size=\"8544256\"] \n  2 [size=\"159324160\", alpha=\"0.13\", expect_size=\"47797248\"] \n  3 [size=\"43939840\", alpha=\"0.06\", expect_size=\"13181952\"] \n  4 [size=\"41219413\", alpha=\"0.17\", expect_size=\"12365824\"] \n  4 -> 9 [size =\"12365824\"]\n  4 -> 10 [size =\"12365824\"]\n  5 [size=\"138315093\", alpha=\"0.06\", expect_size=\"41494528\"] \n  5 -> 10 [size =\"41494528\"]\n  6 [size=\"118985387\", alpha=\"0.06\", expect_size=\"35695616\"] \n  7 [size=\"138912427\", alpha=\"0.04\", expect_size=\"41673728\"] \n  7 -> 9 [size =\"41673728\"]\n  7 -> 10 [size =\"41673728\"]\n  8 [size=\"85196800\", alpha=\"0.16\", expect_size=\"25559040\"] \n  9 [size=\"21794133\", alpha=\"0.15\", expect_size=\"6538240\"] \n  10 [size=\"132222293\", alpha=\"0.08\", expect_size=\"39666688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53333333\", alpha=\"0.17\", expect_size=\"16000000\"] \n  1 -> 4 [size =\"16000000\"]\n  1 -> 6 [size =\"16000000\"]\n  1 -> 7 [size =\"16000000\"]\n  2 [size=\"68720640\", alpha=\"0.18\", expect_size=\"20616192\"] \n  2 -> 4 [size =\"20616192\"]\n  2 -> 6 [size =\"20616192\"]\n  2 -> 8 [size =\"20616192\"]\n  2 -> 9 [size =\"20616192\"]\n  3 [size=\"37847040\", alpha=\"0.01\", expect_size=\"11354112\"] \n  3 -> 5 [size =\"11354112\"]\n  3 -> 7 [size =\"11354112\"]\n  3 -> 9 [size =\"11354112\"]\n  4 [size=\"43840853\", alpha=\"0.01\", expect_size=\"13152256\"] \n  5 [size=\"109028693\", alpha=\"0.08\", expect_size=\"32708608\"] \n  5 -> 10 [size =\"32708608\"]\n  6 [size=\"168468480\", alpha=\"0.04\", expect_size=\"50540544\"] \n  7 [size=\"169502720\", alpha=\"0.03\", expect_size=\"50850816\"] \n  8 [size=\"27883520\", alpha=\"0.06\", expect_size=\"8365056\"] \n  8 -> 10 [size =\"8365056\"]\n  9 [size=\"69782187\", alpha=\"0.14\", expect_size=\"20934656\"] \n  9 -> 10 [size =\"20934656\"]\n  10 [size=\"126003200\", alpha=\"0.09\", expect_size=\"37800960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83995307\", alpha=\"0.20\", expect_size=\"25198592\"] \n  1 -> 2 [size =\"25198592\"]\n  2 [size=\"80302080\", alpha=\"0.10\", expect_size=\"24090624\"] \n  2 -> 3 [size =\"24090624\"]\n  3 [size=\"105058987\", alpha=\"0.17\", expect_size=\"31517696\"] \n  3 -> 4 [size =\"31517696\"]\n  4 [size=\"94272853\", alpha=\"0.12\", expect_size=\"28281856\"] \n  4 -> 5 [size =\"28281856\"]\n  5 [size=\"111721813\", alpha=\"0.11\", expect_size=\"33516544\"] \n  5 -> 6 [size =\"33516544\"]\n  6 [size=\"141820587\", alpha=\"0.05\", expect_size=\"42546176\"] \n  6 -> 7 [size =\"42546176\"]\n  7 [size=\"58258773\", alpha=\"0.09\", expect_size=\"17477632\"] \n  7 -> 8 [size =\"17477632\"]\n  8 [size=\"124296533\", alpha=\"0.01\", expect_size=\"37288960\"] \n  8 -> 9 [size =\"37288960\"]\n  9 [size=\"104704000\", alpha=\"0.07\", expect_size=\"31411200\"] \n  9 -> 10 [size =\"31411200\"]\n  10 [size=\"34966187\", alpha=\"0.17\", expect_size=\"10489856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134283947\", alpha=\"0.06\", expect_size=\"40285184\"] \n  1 -> 4 [size =\"40285184\"]\n  2 [size=\"36304213\", alpha=\"0.09\", expect_size=\"10891264\"] \n  2 -> 3 [size =\"10891264\"]\n  2 -> 4 [size =\"10891264\"]\n  3 [size=\"129962667\", alpha=\"0.20\", expect_size=\"38988800\"] \n  3 -> 5 [size =\"38988800\"]\n  3 -> 6 [size =\"38988800\"]\n  3 -> 7 [size =\"38988800\"]\n  4 [size=\"97105920\", alpha=\"0.08\", expect_size=\"29131776\"] \n  4 -> 5 [size =\"29131776\"]\n  5 [size=\"169608533\", alpha=\"0.16\", expect_size=\"50882560\"] \n  5 -> 9 [size =\"50882560\"]\n  6 [size=\"93296640\", alpha=\"0.20\", expect_size=\"27988992\"] \n  6 -> 8 [size =\"27988992\"]\n  7 [size=\"118128640\", alpha=\"0.15\", expect_size=\"35438592\"] \n  7 -> 8 [size =\"35438592\"]\n  8 [size=\"36485120\", alpha=\"0.18\", expect_size=\"10945536\"] \n  8 -> 10 [size =\"10945536\"]\n  9 [size=\"168741547\", alpha=\"0.01\", expect_size=\"50622464\"] \n  9 -> 10 [size =\"50622464\"]\n  10 [size=\"76083200\", alpha=\"0.01\", expect_size=\"22824960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119603200\", alpha=\"0.14\", expect_size=\"35880960\"] \n  1 -> 8 [size =\"35880960\"]\n  2 [size=\"95037440\", alpha=\"0.05\", expect_size=\"28511232\"] \n  2 -> 5 [size =\"28511232\"]\n  2 -> 8 [size =\"28511232\"]\n  3 [size=\"39396693\", alpha=\"0.01\", expect_size=\"11819008\"] \n  3 -> 6 [size =\"11819008\"]\n  3 -> 7 [size =\"11819008\"]\n  4 [size=\"29760853\", alpha=\"0.10\", expect_size=\"8928256\"] \n  4 -> 6 [size =\"8928256\"]\n  4 -> 7 [size =\"8928256\"]\n  5 [size=\"150138880\", alpha=\"0.10\", expect_size=\"45041664\"] \n  5 -> 9 [size =\"45041664\"]\n  5 -> 10 [size =\"45041664\"]\n  6 [size=\"37010773\", alpha=\"0.12\", expect_size=\"11103232\"] \n  6 -> 9 [size =\"11103232\"]\n  7 [size=\"64392533\", alpha=\"0.17\", expect_size=\"19317760\"] \n  8 [size=\"88511147\", alpha=\"0.01\", expect_size=\"26553344\"] \n  9 [size=\"98488320\", alpha=\"0.02\", expect_size=\"29546496\"] \n  10 [size=\"79960747\", alpha=\"0.06\", expect_size=\"23988224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126597120\", alpha=\"0.07\", expect_size=\"50638848\"] \n  1 -> 2 [size =\"50638848\"]\n  2 [size=\"94379520\", alpha=\"0.15\", expect_size=\"37751808\"] \n  2 -> 3 [size =\"37751808\"]\n  3 [size=\"27412480\", alpha=\"0.20\", expect_size=\"10964992\"] \n  3 -> 4 [size =\"10964992\"]\n  4 [size=\"63746560\", alpha=\"0.08\", expect_size=\"25498624\"] \n  4 -> 5 [size =\"25498624\"]\n  5 [size=\"46177280\", alpha=\"0.18\", expect_size=\"18470912\"] \n  5 -> 6 [size =\"18470912\"]\n  6 [size=\"27719680\", alpha=\"0.08\", expect_size=\"11087872\"] \n  6 -> 7 [size =\"11087872\"]\n  7 [size=\"103214080\", alpha=\"0.02\", expect_size=\"41285632\"] \n  7 -> 8 [size =\"41285632\"]\n  8 [size=\"51353600\", alpha=\"0.20\", expect_size=\"20541440\"] \n  8 -> 9 [size =\"20541440\"]\n  9 [size=\"84917760\", alpha=\"0.02\", expect_size=\"33967104\"] \n  9 -> 10 [size =\"33967104\"]\n  10 [size=\"50598400\", alpha=\"0.09\", expect_size=\"20239360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122928640\", alpha=\"0.01\", expect_size=\"49171456\"] \n  1 -> 6 [size =\"49171456\"]\n  2 [size=\"64834560\", alpha=\"0.09\", expect_size=\"25933824\"] \n  2 -> 6 [size =\"25933824\"]\n  2 -> 8 [size =\"25933824\"]\n  3 [size=\"69662720\", alpha=\"0.14\", expect_size=\"27865088\"] \n  4 [size=\"34910720\", alpha=\"0.09\", expect_size=\"13964288\"] \n  4 -> 5 [size =\"13964288\"]\n  4 -> 7 [size =\"13964288\"]\n  4 -> 8 [size =\"13964288\"]\n  5 [size=\"93752320\", alpha=\"0.01\", expect_size=\"37500928\"] \n  5 -> 9 [size =\"37500928\"]\n  6 [size=\"119168000\", alpha=\"0.18\", expect_size=\"47667200\"] \n  6 -> 9 [size =\"47667200\"]\n  6 -> 10 [size =\"47667200\"]\n  7 [size=\"15196160\", alpha=\"0.07\", expect_size=\"6078464\"] \n  7 -> 10 [size =\"6078464\"]\n  8 [size=\"116106240\", alpha=\"0.08\", expect_size=\"46442496\"] \n  9 [size=\"48609280\", alpha=\"0.07\", expect_size=\"19443712\"] \n  10 [size=\"56312320\", alpha=\"0.15\", expect_size=\"22524928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57997312\", alpha=\"0.20\", expect_size=\"28998656\"] \n  1 -> 2 [size =\"28998656\"]\n  2 [size=\"95430656\", alpha=\"0.02\", expect_size=\"47715328\"] \n  2 -> 3 [size =\"47715328\"]\n  3 [size=\"90929152\", alpha=\"0.06\", expect_size=\"45464576\"] \n  3 -> 4 [size =\"45464576\"]\n  4 [size=\"18237440\", alpha=\"0.12\", expect_size=\"9118720\"] \n  4 -> 5 [size =\"9118720\"]\n  5 [size=\"19734528\", alpha=\"0.06\", expect_size=\"9867264\"] \n  5 -> 6 [size =\"9867264\"]\n  6 [size=\"62255104\", alpha=\"0.14\", expect_size=\"31127552\"] \n  6 -> 7 [size =\"31127552\"]\n  7 [size=\"71133184\", alpha=\"0.12\", expect_size=\"35566592\"] \n  7 -> 8 [size =\"35566592\"]\n  8 [size=\"70684672\", alpha=\"0.03\", expect_size=\"35342336\"] \n  8 -> 9 [size =\"35342336\"]\n  9 [size=\"76969984\", alpha=\"0.14\", expect_size=\"38484992\"] \n  9 -> 10 [size =\"38484992\"]\n  10 [size=\"91611136\", alpha=\"0.05\", expect_size=\"45805568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141970773\", alpha=\"0.08\", expect_size=\"42591232\"] \n  1 -> 3 [size =\"42591232\"]\n  1 -> 4 [size =\"42591232\"]\n  1 -> 5 [size =\"42591232\"]\n  2 [size=\"53828267\", alpha=\"0.16\", expect_size=\"16148480\"] \n  2 -> 3 [size =\"16148480\"]\n  2 -> 4 [size =\"16148480\"]\n  2 -> 5 [size =\"16148480\"]\n  3 [size=\"99652267\", alpha=\"0.06\", expect_size=\"29895680\"] \n  4 [size=\"18053120\", alpha=\"0.10\", expect_size=\"5415936\"] \n  4 -> 7 [size =\"5415936\"]\n  5 [size=\"51387733\", alpha=\"0.13\", expect_size=\"15416320\"] \n  5 -> 6 [size =\"15416320\"]\n  5 -> 7 [size =\"15416320\"]\n  6 [size=\"81288533\", alpha=\"0.14\", expect_size=\"24386560\"] \n  6 -> 8 [size =\"24386560\"]\n  6 -> 10 [size =\"24386560\"]\n  7 [size=\"18018987\", alpha=\"0.06\", expect_size=\"5405696\"] \n  7 -> 9 [size =\"5405696\"]\n  8 [size=\"18554880\", alpha=\"0.01\", expect_size=\"5566464\"] \n  9 [size=\"68942507\", alpha=\"0.16\", expect_size=\"20682752\"] \n  10 [size=\"102242987\", alpha=\"0.00\", expect_size=\"30672896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44824576\", alpha=\"0.17\", expect_size=\"22412288\"] \n  2 [size=\"25524224\", alpha=\"0.12\", expect_size=\"12762112\"] \n  3 [size=\"40787968\", alpha=\"0.10\", expect_size=\"20393984\"] \n  4 [size=\"61587456\", alpha=\"0.12\", expect_size=\"30793728\"] \n  5 [size=\"20635648\", alpha=\"0.19\", expect_size=\"10317824\"] \n  6 [size=\"17983488\", alpha=\"0.01\", expect_size=\"8991744\"] \n  7 [size=\"32227328\", alpha=\"0.07\", expect_size=\"16113664\"] \n  8 [size=\"49223680\", alpha=\"0.05\", expect_size=\"24611840\"] \n  9 [size=\"101775360\", alpha=\"0.19\", expect_size=\"50887680\"] \n  10 [size=\"11866112\", alpha=\"0.11\", expect_size=\"5933056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106195627\", alpha=\"0.18\", expect_size=\"31858688\"] \n  1 -> 2 [size =\"31858688\"]\n  2 [size=\"51363840\", alpha=\"0.17\", expect_size=\"15409152\"] \n  2 -> 3 [size =\"15409152\"]\n  3 [size=\"166574080\", alpha=\"0.19\", expect_size=\"49972224\"] \n  3 -> 4 [size =\"49972224\"]\n  4 [size=\"105635840\", alpha=\"0.19\", expect_size=\"31690752\"] \n  4 -> 5 [size =\"31690752\"]\n  5 [size=\"68440747\", alpha=\"0.04\", expect_size=\"20532224\"] \n  5 -> 6 [size =\"20532224\"]\n  6 [size=\"86009173\", alpha=\"0.17\", expect_size=\"25802752\"] \n  6 -> 7 [size =\"25802752\"]\n  7 [size=\"129426773\", alpha=\"0.06\", expect_size=\"38828032\"] \n  7 -> 8 [size =\"38828032\"]\n  8 [size=\"152791040\", alpha=\"0.14\", expect_size=\"45837312\"] \n  8 -> 9 [size =\"45837312\"]\n  9 [size=\"151367680\", alpha=\"0.11\", expect_size=\"45410304\"] \n  9 -> 10 [size =\"45410304\"]\n  10 [size=\"45312000\", alpha=\"0.09\", expect_size=\"13593600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123351040\", alpha=\"0.12\", expect_size=\"37005312\"] \n  1 -> 9 [size =\"37005312\"]\n  1 -> 10 [size =\"37005312\"]\n  2 [size=\"149732693\", alpha=\"0.05\", expect_size=\"44919808\"] \n  2 -> 8 [size =\"44919808\"]\n  3 [size=\"60890453\", alpha=\"0.07\", expect_size=\"18267136\"] \n  3 -> 8 [size =\"18267136\"]\n  3 -> 9 [size =\"18267136\"]\n  4 [size=\"170178560\", alpha=\"0.09\", expect_size=\"51053568\"] \n  4 -> 7 [size =\"51053568\"]\n  5 [size=\"56282453\", alpha=\"0.03\", expect_size=\"16884736\"] \n  5 -> 8 [size =\"16884736\"]\n  5 -> 9 [size =\"16884736\"]\n  5 -> 10 [size =\"16884736\"]\n  6 [size=\"122572800\", alpha=\"0.12\", expect_size=\"36771840\"] \n  7 [size=\"160587093\", alpha=\"0.02\", expect_size=\"48176128\"] \n  8 [size=\"43345920\", alpha=\"0.05\", expect_size=\"13003776\"] \n  9 [size=\"86210560\", alpha=\"0.08\", expect_size=\"25863168\"] \n  10 [size=\"150432427\", alpha=\"0.06\", expect_size=\"45129728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79472640\", alpha=\"0.11\", expect_size=\"23841792\"] \n  2 [size=\"96040960\", alpha=\"0.16\", expect_size=\"28812288\"] \n  2 -> 4 [size =\"28812288\"]\n  2 -> 5 [size =\"28812288\"]\n  3 [size=\"29624320\", alpha=\"0.04\", expect_size=\"8887296\"] \n  3 -> 4 [size =\"8887296\"]\n  4 [size=\"145199787\", alpha=\"0.05\", expect_size=\"43559936\"] \n  4 -> 6 [size =\"43559936\"]\n  5 [size=\"143738880\", alpha=\"0.06\", expect_size=\"43121664\"] \n  5 -> 7 [size =\"43121664\"]\n  5 -> 8 [size =\"43121664\"]\n  6 [size=\"76318720\", alpha=\"0.11\", expect_size=\"22895616\"] \n  6 -> 10 [size =\"22895616\"]\n  7 [size=\"130341547\", alpha=\"0.03\", expect_size=\"39102464\"] \n  7 -> 10 [size =\"39102464\"]\n  8 [size=\"77226667\", alpha=\"0.05\", expect_size=\"23168000\"] \n  8 -> 9 [size =\"23168000\"]\n  8 -> 10 [size =\"23168000\"]\n  9 [size=\"77175467\", alpha=\"0.00\", expect_size=\"23152640\"] \n  10 [size=\"55456427\", alpha=\"0.11\", expect_size=\"16636928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83834880\", alpha=\"0.10\", expect_size=\"33533952\"] \n  1 -> 2 [size =\"33533952\"]\n  2 [size=\"121610240\", alpha=\"0.04\", expect_size=\"48644096\"] \n  2 -> 3 [size =\"48644096\"]\n  3 [size=\"33290240\", alpha=\"0.04\", expect_size=\"13316096\"] \n  3 -> 4 [size =\"13316096\"]\n  4 [size=\"96151040\", alpha=\"0.13\", expect_size=\"38460416\"] \n  4 -> 5 [size =\"38460416\"]\n  5 [size=\"87488000\", alpha=\"0.02\", expect_size=\"34995200\"] \n  5 -> 6 [size =\"34995200\"]\n  6 [size=\"113031680\", alpha=\"0.13\", expect_size=\"45212672\"] \n  6 -> 7 [size =\"45212672\"]\n  7 [size=\"21893120\", alpha=\"0.05\", expect_size=\"8757248\"] \n  7 -> 8 [size =\"8757248\"]\n  8 [size=\"90306560\", alpha=\"0.17\", expect_size=\"36122624\"] \n  8 -> 9 [size =\"36122624\"]\n  9 [size=\"121996800\", alpha=\"0.11\", expect_size=\"48798720\"] \n  9 -> 10 [size =\"48798720\"]\n  10 [size=\"35450880\", alpha=\"0.04\", expect_size=\"14180352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42844160\", alpha=\"0.04\", expect_size=\"12853248\"] \n  1 -> 4 [size =\"12853248\"]\n  2 [size=\"132611413\", alpha=\"0.02\", expect_size=\"39783424\"] \n  2 -> 3 [size =\"39783424\"]\n  2 -> 4 [size =\"39783424\"]\n  3 [size=\"89183573\", alpha=\"0.11\", expect_size=\"26755072\"] \n  3 -> 5 [size =\"26755072\"]\n  3 -> 6 [size =\"26755072\"]\n  4 [size=\"149828267\", alpha=\"0.11\", expect_size=\"44948480\"] \n  4 -> 5 [size =\"44948480\"]\n  4 -> 6 [size =\"44948480\"]\n  5 [size=\"57736533\", alpha=\"0.01\", expect_size=\"17320960\"] \n  5 -> 7 [size =\"17320960\"]\n  5 -> 8 [size =\"17320960\"]\n  6 [size=\"85565440\", alpha=\"0.01\", expect_size=\"25669632\"] \n  6 -> 8 [size =\"25669632\"]\n  7 [size=\"27869867\", alpha=\"0.16\", expect_size=\"8360960\"] \n  7 -> 9 [size =\"8360960\"]\n  8 [size=\"67795627\", alpha=\"0.05\", expect_size=\"20338688\"] \n  8 -> 9 [size =\"20338688\"]\n  8 -> 10 [size =\"20338688\"]\n  9 [size=\"134195200\", alpha=\"0.11\", expect_size=\"40258560\"] \n  10 [size=\"161249280\", alpha=\"0.20\", expect_size=\"48374784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89425920\", alpha=\"0.00\", expect_size=\"44712960\"] \n  2 [size=\"20412416\", alpha=\"0.06\", expect_size=\"10206208\"] \n  2 -> 8 [size =\"10206208\"]\n  2 -> 9 [size =\"10206208\"]\n  2 -> 10 [size =\"10206208\"]\n  3 [size=\"43114496\", alpha=\"0.13\", expect_size=\"21557248\"] \n  3 -> 7 [size =\"21557248\"]\n  3 -> 9 [size =\"21557248\"]\n  4 [size=\"84387840\", alpha=\"0.13\", expect_size=\"42193920\"] \n  4 -> 8 [size =\"42193920\"]\n  4 -> 9 [size =\"42193920\"]\n  4 -> 10 [size =\"42193920\"]\n  5 [size=\"41525248\", alpha=\"0.08\", expect_size=\"20762624\"] \n  5 -> 8 [size =\"20762624\"]\n  6 [size=\"85014528\", alpha=\"0.07\", expect_size=\"42507264\"] \n  6 -> 10 [size =\"42507264\"]\n  7 [size=\"18423808\", alpha=\"0.19\", expect_size=\"9211904\"] \n  8 [size=\"87531520\", alpha=\"0.16\", expect_size=\"43765760\"] \n  9 [size=\"34031616\", alpha=\"0.09\", expect_size=\"17015808\"] \n  10 [size=\"46559232\", alpha=\"0.10\", expect_size=\"23279616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26081280\", alpha=\"0.18\", expect_size=\"13040640\"] \n  1 -> 2 [size =\"13040640\"]\n  2 [size=\"80420864\", alpha=\"0.19\", expect_size=\"40210432\"] \n  2 -> 3 [size =\"40210432\"]\n  3 [size=\"36296704\", alpha=\"0.18\", expect_size=\"18148352\"] \n  3 -> 4 [size =\"18148352\"]\n  4 [size=\"75634688\", alpha=\"0.00\", expect_size=\"37817344\"] \n  4 -> 5 [size =\"37817344\"]\n  5 [size=\"92192768\", alpha=\"0.10\", expect_size=\"46096384\"] \n  5 -> 6 [size =\"46096384\"]\n  6 [size=\"80783360\", alpha=\"0.07\", expect_size=\"40391680\"] \n  6 -> 7 [size =\"40391680\"]\n  7 [size=\"25198592\", alpha=\"0.19\", expect_size=\"12599296\"] \n  7 -> 8 [size =\"12599296\"]\n  8 [size=\"94570496\", alpha=\"0.08\", expect_size=\"47285248\"] \n  8 -> 9 [size =\"47285248\"]\n  9 [size=\"18608128\", alpha=\"0.09\", expect_size=\"9304064\"] \n  9 -> 10 [size =\"9304064\"]\n  10 [size=\"60067840\", alpha=\"0.18\", expect_size=\"30033920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23944533\", alpha=\"0.15\", expect_size=\"7183360\"] \n  1 -> 9 [size =\"7183360\"]\n  2 [size=\"93170347\", alpha=\"0.09\", expect_size=\"27951104\"] \n  2 -> 7 [size =\"27951104\"]\n  2 -> 9 [size =\"27951104\"]\n  3 [size=\"26743467\", alpha=\"0.03\", expect_size=\"8023040\"] \n  3 -> 7 [size =\"8023040\"]\n  3 -> 8 [size =\"8023040\"]\n  4 [size=\"83537920\", alpha=\"0.17\", expect_size=\"25061376\"] \n  4 -> 7 [size =\"25061376\"]\n  5 [size=\"140526933\", alpha=\"0.02\", expect_size=\"42158080\"] \n  5 -> 9 [size =\"42158080\"]\n  5 -> 10 [size =\"42158080\"]\n  6 [size=\"69539840\", alpha=\"0.10\", expect_size=\"20861952\"] \n  6 -> 7 [size =\"20861952\"]\n  6 -> 10 [size =\"20861952\"]\n  7 [size=\"73222827\", alpha=\"0.05\", expect_size=\"21966848\"] \n  8 [size=\"61149867\", alpha=\"0.04\", expect_size=\"18344960\"] \n  9 [size=\"105625600\", alpha=\"0.06\", expect_size=\"31687680\"] \n  10 [size=\"112411307\", alpha=\"0.15\", expect_size=\"33723392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127122773\", alpha=\"0.10\", expect_size=\"38136832\"] \n  1 -> 2 [size =\"38136832\"]\n  2 [size=\"86804480\", alpha=\"0.16\", expect_size=\"26041344\"] \n  2 -> 3 [size =\"26041344\"]\n  3 [size=\"94692693\", alpha=\"0.13\", expect_size=\"28407808\"] \n  3 -> 4 [size =\"28407808\"]\n  4 [size=\"147517440\", alpha=\"0.14\", expect_size=\"44255232\"] \n  4 -> 5 [size =\"44255232\"]\n  5 [size=\"43246933\", alpha=\"0.18\", expect_size=\"12974080\"] \n  5 -> 6 [size =\"12974080\"]\n  6 [size=\"40471893\", alpha=\"0.12\", expect_size=\"12141568\"] \n  6 -> 7 [size =\"12141568\"]\n  7 [size=\"97201493\", alpha=\"0.08\", expect_size=\"29160448\"] \n  7 -> 8 [size =\"29160448\"]\n  8 [size=\"44468907\", alpha=\"0.01\", expect_size=\"13340672\"] \n  8 -> 9 [size =\"13340672\"]\n  9 [size=\"118551893\", alpha=\"0.10\", expect_size=\"35565568\"] \n  9 -> 10 [size =\"35565568\"]\n  10 [size=\"99386027\", alpha=\"0.13\", expect_size=\"29815808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97610240\", alpha=\"0.16\", expect_size=\"39044096\"] \n  1 -> 2 [size =\"39044096\"]\n  2 [size=\"77399040\", alpha=\"0.14\", expect_size=\"30959616\"] \n  2 -> 3 [size =\"30959616\"]\n  3 [size=\"114007040\", alpha=\"0.11\", expect_size=\"45602816\"] \n  3 -> 4 [size =\"45602816\"]\n  4 [size=\"90060800\", alpha=\"0.16\", expect_size=\"36024320\"] \n  4 -> 5 [size =\"36024320\"]\n  5 [size=\"21632000\", alpha=\"0.08\", expect_size=\"8652800\"] \n  5 -> 6 [size =\"8652800\"]\n  6 [size=\"25930240\", alpha=\"0.20\", expect_size=\"10372096\"] \n  6 -> 7 [size =\"10372096\"]\n  7 [size=\"36364800\", alpha=\"0.03\", expect_size=\"14545920\"] \n  7 -> 8 [size =\"14545920\"]\n  8 [size=\"81553920\", alpha=\"0.08\", expect_size=\"32621568\"] \n  8 -> 9 [size =\"32621568\"]\n  9 [size=\"35909120\", alpha=\"0.15\", expect_size=\"14363648\"] \n  9 -> 10 [size =\"14363648\"]\n  10 [size=\"106972160\", alpha=\"0.11\", expect_size=\"42788864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114101760\", alpha=\"0.07\", expect_size=\"45640704\"] \n  1 -> 6 [size =\"45640704\"]\n  1 -> 7 [size =\"45640704\"]\n  1 -> 8 [size =\"45640704\"]\n  2 [size=\"49118720\", alpha=\"0.04\", expect_size=\"19647488\"] \n  2 -> 6 [size =\"19647488\"]\n  2 -> 7 [size =\"19647488\"]\n  2 -> 8 [size =\"19647488\"]\n  3 [size=\"118200320\", alpha=\"0.15\", expect_size=\"47280128\"] \n  3 -> 8 [size =\"47280128\"]\n  3 -> 9 [size =\"47280128\"]\n  3 -> 10 [size =\"47280128\"]\n  4 [size=\"118136320\", alpha=\"0.13\", expect_size=\"47254528\"] \n  4 -> 10 [size =\"47254528\"]\n  5 [size=\"40337920\", alpha=\"0.14\", expect_size=\"16135168\"] \n  5 -> 6 [size =\"16135168\"]\n  5 -> 7 [size =\"16135168\"]\n  5 -> 10 [size =\"16135168\"]\n  6 [size=\"121090560\", alpha=\"0.09\", expect_size=\"48436224\"] \n  7 [size=\"46981120\", alpha=\"0.09\", expect_size=\"18792448\"] \n  8 [size=\"13424640\", alpha=\"0.01\", expect_size=\"5369856\"] \n  9 [size=\"109478400\", alpha=\"0.07\", expect_size=\"43791360\"] \n  10 [size=\"129180160\", alpha=\"0.19\", expect_size=\"51672064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81229824\", alpha=\"0.08\", expect_size=\"40614912\"] \n  1 -> 2 [size =\"40614912\"]\n  2 [size=\"80951296\", alpha=\"0.01\", expect_size=\"40475648\"] \n  2 -> 3 [size =\"40475648\"]\n  3 [size=\"64790528\", alpha=\"0.06\", expect_size=\"32395264\"] \n  3 -> 4 [size =\"32395264\"]\n  4 [size=\"85258240\", alpha=\"0.11\", expect_size=\"42629120\"] \n  4 -> 5 [size =\"42629120\"]\n  5 [size=\"45867008\", alpha=\"0.06\", expect_size=\"22933504\"] \n  5 -> 6 [size =\"22933504\"]\n  6 [size=\"59172864\", alpha=\"0.15\", expect_size=\"29586432\"] \n  6 -> 7 [size =\"29586432\"]\n  7 [size=\"62920704\", alpha=\"0.02\", expect_size=\"31460352\"] \n  7 -> 8 [size =\"31460352\"]\n  8 [size=\"45420544\", alpha=\"0.01\", expect_size=\"22710272\"] \n  8 -> 9 [size =\"22710272\"]\n  9 [size=\"82337792\", alpha=\"0.16\", expect_size=\"41168896\"] \n  9 -> 10 [size =\"41168896\"]\n  10 [size=\"86472704\", alpha=\"0.16\", expect_size=\"43236352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36784128\", alpha=\"0.19\", expect_size=\"18392064\"] \n  1 -> 7 [size =\"18392064\"]\n  1 -> 8 [size =\"18392064\"]\n  1 -> 9 [size =\"18392064\"]\n  2 [size=\"37181440\", alpha=\"0.07\", expect_size=\"18590720\"] \n  2 -> 8 [size =\"18590720\"]\n  2 -> 9 [size =\"18590720\"]\n  2 -> 10 [size =\"18590720\"]\n  3 [size=\"47054848\", alpha=\"0.17\", expect_size=\"23527424\"] \n  3 -> 10 [size =\"23527424\"]\n  4 [size=\"85534720\", alpha=\"0.01\", expect_size=\"42767360\"] \n  4 -> 7 [size =\"42767360\"]\n  4 -> 8 [size =\"42767360\"]\n  4 -> 10 [size =\"42767360\"]\n  5 [size=\"32253952\", alpha=\"0.20\", expect_size=\"16126976\"] \n  5 -> 6 [size =\"16126976\"]\n  5 -> 8 [size =\"16126976\"]\n  5 -> 9 [size =\"16126976\"]\n  6 [size=\"29122560\", alpha=\"0.18\", expect_size=\"14561280\"] \n  7 [size=\"15706112\", alpha=\"0.10\", expect_size=\"7853056\"] \n  8 [size=\"48920576\", alpha=\"0.14\", expect_size=\"24460288\"] \n  9 [size=\"91338752\", alpha=\"0.12\", expect_size=\"45669376\"] \n  10 [size=\"55087104\", alpha=\"0.14\", expect_size=\"27543552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35717120\", alpha=\"0.04\", expect_size=\"17858560\"] \n  1 -> 2 [size =\"17858560\"]\n  2 [size=\"90572800\", alpha=\"0.19\", expect_size=\"45286400\"] \n  2 -> 3 [size =\"45286400\"]\n  3 [size=\"98867200\", alpha=\"0.14\", expect_size=\"49433600\"] \n  3 -> 4 [size =\"49433600\"]\n  4 [size=\"21174272\", alpha=\"0.03\", expect_size=\"10587136\"] \n  4 -> 5 [size =\"10587136\"]\n  5 [size=\"36628480\", alpha=\"0.15\", expect_size=\"18314240\"] \n  5 -> 6 [size =\"18314240\"]\n  6 [size=\"54845440\", alpha=\"0.13\", expect_size=\"27422720\"] \n  6 -> 7 [size =\"27422720\"]\n  7 [size=\"32663552\", alpha=\"0.17\", expect_size=\"16331776\"] \n  7 -> 8 [size =\"16331776\"]\n  8 [size=\"35479552\", alpha=\"0.08\", expect_size=\"17739776\"] \n  8 -> 9 [size =\"17739776\"]\n  9 [size=\"38277120\", alpha=\"0.02\", expect_size=\"19138560\"] \n  9 -> 10 [size =\"19138560\"]\n  10 [size=\"63168512\", alpha=\"0.14\", expect_size=\"31584256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125207040\", alpha=\"0.10\", expect_size=\"50082816\"] \n  1 -> 3 [size =\"50082816\"]\n  1 -> 4 [size =\"50082816\"]\n  2 [size=\"71964160\", alpha=\"0.14\", expect_size=\"28785664\"] \n  2 -> 3 [size =\"28785664\"]\n  2 -> 4 [size =\"28785664\"]\n  2 -> 5 [size =\"28785664\"]\n  3 [size=\"48043520\", alpha=\"0.01\", expect_size=\"19217408\"] \n  3 -> 6 [size =\"19217408\"]\n  3 -> 8 [size =\"19217408\"]\n  4 [size=\"67824640\", alpha=\"0.08\", expect_size=\"27129856\"] \n  4 -> 6 [size =\"27129856\"]\n  4 -> 7 [size =\"27129856\"]\n  5 [size=\"50099200\", alpha=\"0.02\", expect_size=\"20039680\"] \n  5 -> 6 [size =\"20039680\"]\n  6 [size=\"125570560\", alpha=\"0.15\", expect_size=\"50228224\"] \n  6 -> 9 [size =\"50228224\"]\n  7 [size=\"36958720\", alpha=\"0.05\", expect_size=\"14783488\"] \n  7 -> 9 [size =\"14783488\"]\n  7 -> 10 [size =\"14783488\"]\n  8 [size=\"66419200\", alpha=\"0.02\", expect_size=\"26567680\"] \n  9 [size=\"124912640\", alpha=\"0.12\", expect_size=\"49965056\"] \n  10 [size=\"36664320\", alpha=\"0.06\", expect_size=\"14665728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66744320\", alpha=\"0.17\", expect_size=\"20023296\"] \n  1 -> 2 [size =\"20023296\"]\n  2 [size=\"106373120\", alpha=\"0.16\", expect_size=\"31911936\"] \n  2 -> 3 [size =\"31911936\"]\n  3 [size=\"44861440\", alpha=\"0.09\", expect_size=\"13458432\"] \n  3 -> 4 [size =\"13458432\"]\n  4 [size=\"60528640\", alpha=\"0.17\", expect_size=\"18158592\"] \n  4 -> 5 [size =\"18158592\"]\n  5 [size=\"33774933\", alpha=\"0.04\", expect_size=\"10132480\"] \n  5 -> 6 [size =\"10132480\"]\n  6 [size=\"81199787\", alpha=\"0.09\", expect_size=\"24359936\"] \n  6 -> 7 [size =\"24359936\"]\n  7 [size=\"115913387\", alpha=\"0.16\", expect_size=\"34774016\"] \n  7 -> 8 [size =\"34774016\"]\n  8 [size=\"110643200\", alpha=\"0.12\", expect_size=\"33192960\"] \n  8 -> 9 [size =\"33192960\"]\n  9 [size=\"81329493\", alpha=\"0.03\", expect_size=\"24398848\"] \n  9 -> 10 [size =\"24398848\"]\n  10 [size=\"114657280\", alpha=\"0.00\", expect_size=\"34397184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110781440\", alpha=\"0.13\", expect_size=\"44312576\"] \n  1 -> 2 [size =\"44312576\"]\n  2 [size=\"91440640\", alpha=\"0.05\", expect_size=\"36576256\"] \n  2 -> 3 [size =\"36576256\"]\n  3 [size=\"75875840\", alpha=\"0.17\", expect_size=\"30350336\"] \n  3 -> 4 [size =\"30350336\"]\n  4 [size=\"23912960\", alpha=\"0.19\", expect_size=\"9565184\"] \n  4 -> 5 [size =\"9565184\"]\n  5 [size=\"72419840\", alpha=\"0.13\", expect_size=\"28967936\"] \n  5 -> 6 [size =\"28967936\"]\n  6 [size=\"55170560\", alpha=\"0.17\", expect_size=\"22068224\"] \n  6 -> 7 [size =\"22068224\"]\n  7 [size=\"107816960\", alpha=\"0.11\", expect_size=\"43126784\"] \n  7 -> 8 [size =\"43126784\"]\n  8 [size=\"70325760\", alpha=\"0.18\", expect_size=\"28130304\"] \n  8 -> 9 [size =\"28130304\"]\n  9 [size=\"64732160\", alpha=\"0.19\", expect_size=\"25892864\"] \n  9 -> 10 [size =\"25892864\"]\n  10 [size=\"115737600\", alpha=\"0.18\", expect_size=\"46295040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43620352\", alpha=\"0.09\", expect_size=\"21810176\"] \n  1 -> 2 [size =\"21810176\"]\n  2 [size=\"83365888\", alpha=\"0.03\", expect_size=\"41682944\"] \n  2 -> 3 [size =\"41682944\"]\n  3 [size=\"95469568\", alpha=\"0.15\", expect_size=\"47734784\"] \n  3 -> 4 [size =\"47734784\"]\n  4 [size=\"50227200\", alpha=\"0.12\", expect_size=\"25113600\"] \n  4 -> 5 [size =\"25113600\"]\n  5 [size=\"49651712\", alpha=\"0.02\", expect_size=\"24825856\"] \n  5 -> 6 [size =\"24825856\"]\n  6 [size=\"88117248\", alpha=\"0.05\", expect_size=\"44058624\"] \n  6 -> 7 [size =\"44058624\"]\n  7 [size=\"57329664\", alpha=\"0.16\", expect_size=\"28664832\"] \n  7 -> 8 [size =\"28664832\"]\n  8 [size=\"95090688\", alpha=\"0.15\", expect_size=\"47545344\"] \n  8 -> 9 [size =\"47545344\"]\n  9 [size=\"56801280\", alpha=\"0.05\", expect_size=\"28400640\"] \n  9 -> 10 [size =\"28400640\"]\n  10 [size=\"24367104\", alpha=\"0.06\", expect_size=\"12183552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153415680\", alpha=\"0.05\", expect_size=\"46024704\"] \n  1 -> 2 [size =\"46024704\"]\n  2 [size=\"75520000\", alpha=\"0.01\", expect_size=\"22656000\"] \n  2 -> 3 [size =\"22656000\"]\n  3 [size=\"57705813\", alpha=\"0.12\", expect_size=\"17311744\"] \n  3 -> 4 [size =\"17311744\"]\n  4 [size=\"54514347\", alpha=\"0.14\", expect_size=\"16354304\"] \n  4 -> 5 [size =\"16354304\"]\n  5 [size=\"66187947\", alpha=\"0.11\", expect_size=\"19856384\"] \n  5 -> 6 [size =\"19856384\"]\n  6 [size=\"138332160\", alpha=\"0.02\", expect_size=\"41499648\"] \n  6 -> 7 [size =\"41499648\"]\n  7 [size=\"122279253\", alpha=\"0.10\", expect_size=\"36683776\"] \n  7 -> 8 [size =\"36683776\"]\n  8 [size=\"61590187\", alpha=\"0.02\", expect_size=\"18477056\"] \n  8 -> 9 [size =\"18477056\"]\n  9 [size=\"19319467\", alpha=\"0.10\", expect_size=\"5795840\"] \n  9 -> 10 [size =\"5795840\"]\n  10 [size=\"156863147\", alpha=\"0.13\", expect_size=\"47058944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46796800\", alpha=\"0.02\", expect_size=\"18718720\"] \n  1 -> 4 [size =\"18718720\"]\n  2 [size=\"124398080\", alpha=\"0.11\", expect_size=\"49759232\"] \n  2 -> 3 [size =\"49759232\"]\n  3 [size=\"117409280\", alpha=\"0.11\", expect_size=\"46963712\"] \n  3 -> 5 [size =\"46963712\"]\n  3 -> 6 [size =\"46963712\"]\n  3 -> 7 [size =\"46963712\"]\n  4 [size=\"69007360\", alpha=\"0.20\", expect_size=\"27602944\"] \n  4 -> 5 [size =\"27602944\"]\n  4 -> 7 [size =\"27602944\"]\n  5 [size=\"27345920\", alpha=\"0.10\", expect_size=\"10938368\"] \n  5 -> 8 [size =\"10938368\"]\n  5 -> 10 [size =\"10938368\"]\n  6 [size=\"79329280\", alpha=\"0.06\", expect_size=\"31731712\"] \n  6 -> 8 [size =\"31731712\"]\n  6 -> 9 [size =\"31731712\"]\n  7 [size=\"38842880\", alpha=\"0.00\", expect_size=\"15537152\"] \n  7 -> 10 [size =\"15537152\"]\n  8 [size=\"99287040\", alpha=\"0.00\", expect_size=\"39714816\"] \n  9 [size=\"55075840\", alpha=\"0.15\", expect_size=\"22030336\"] \n  10 [size=\"94223360\", alpha=\"0.09\", expect_size=\"37689344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143810560\", alpha=\"0.13\", expect_size=\"43143168\"] \n  2 [size=\"140076373\", alpha=\"0.01\", expect_size=\"42022912\"] \n  2 -> 4 [size =\"42022912\"]\n  2 -> 5 [size =\"42022912\"]\n  2 -> 7 [size =\"42022912\"]\n  2 -> 8 [size =\"42022912\"]\n  3 [size=\"78687573\", alpha=\"0.08\", expect_size=\"23606272\"] \n  3 -> 4 [size =\"23606272\"]\n  3 -> 5 [size =\"23606272\"]\n  3 -> 6 [size =\"23606272\"]\n  3 -> 8 [size =\"23606272\"]\n  3 -> 9 [size =\"23606272\"]\n  3 -> 10 [size =\"23606272\"]\n  4 [size=\"65300480\", alpha=\"0.11\", expect_size=\"19590144\"] \n  5 [size=\"29972480\", alpha=\"0.10\", expect_size=\"8991744\"] \n  6 [size=\"123187200\", alpha=\"0.18\", expect_size=\"36956160\"] \n  7 [size=\"110240427\", alpha=\"0.02\", expect_size=\"33072128\"] \n  8 [size=\"46295040\", alpha=\"0.14\", expect_size=\"13888512\"] \n  9 [size=\"110803627\", alpha=\"0.11\", expect_size=\"33241088\"] \n  10 [size=\"38546773\", alpha=\"0.11\", expect_size=\"11564032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61212160\", alpha=\"0.00\", expect_size=\"24484864\"] \n  2 [size=\"39086080\", alpha=\"0.02\", expect_size=\"15634432\"] \n  2 -> 9 [size =\"15634432\"]\n  3 [size=\"71971840\", alpha=\"0.18\", expect_size=\"28788736\"] \n  3 -> 8 [size =\"28788736\"]\n  3 -> 9 [size =\"28788736\"]\n  3 -> 10 [size =\"28788736\"]\n  4 [size=\"28016640\", alpha=\"0.13\", expect_size=\"11206656\"] \n  5 [size=\"79260160\", alpha=\"0.17\", expect_size=\"31704064\"] \n  5 -> 8 [size =\"31704064\"]\n  6 [size=\"36495360\", alpha=\"0.14\", expect_size=\"14598144\"] \n  6 -> 8 [size =\"14598144\"]\n  7 [size=\"40419840\", alpha=\"0.00\", expect_size=\"16167936\"] \n  7 -> 9 [size =\"16167936\"]\n  7 -> 10 [size =\"16167936\"]\n  8 [size=\"62855680\", alpha=\"0.03\", expect_size=\"25142272\"] \n  9 [size=\"14074880\", alpha=\"0.14\", expect_size=\"5629952\"] \n  10 [size=\"102261760\", alpha=\"0.09\", expect_size=\"40904704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94269440\", alpha=\"0.15\", expect_size=\"47134720\"] \n  1 -> 5 [size =\"47134720\"]\n  1 -> 6 [size =\"47134720\"]\n  1 -> 7 [size =\"47134720\"]\n  2 [size=\"30420992\", alpha=\"0.11\", expect_size=\"15210496\"] \n  2 -> 5 [size =\"15210496\"]\n  2 -> 6 [size =\"15210496\"]\n  2 -> 7 [size =\"15210496\"]\n  3 [size=\"51843072\", alpha=\"0.09\", expect_size=\"25921536\"] \n  3 -> 5 [size =\"25921536\"]\n  3 -> 6 [size =\"25921536\"]\n  3 -> 7 [size =\"25921536\"]\n  4 [size=\"37033984\", alpha=\"0.15\", expect_size=\"18516992\"] \n  4 -> 5 [size =\"18516992\"]\n  4 -> 6 [size =\"18516992\"]\n  4 -> 7 [size =\"18516992\"]\n  5 [size=\"77178880\", alpha=\"0.13\", expect_size=\"38589440\"] \n  5 -> 8 [size =\"38589440\"]\n  6 [size=\"13156352\", alpha=\"0.12\", expect_size=\"6578176\"] \n  6 -> 8 [size =\"6578176\"]\n  7 [size=\"51105792\", alpha=\"0.18\", expect_size=\"25552896\"] \n  7 -> 8 [size =\"25552896\"]\n  7 -> 9 [size =\"25552896\"]\n  8 [size=\"20035584\", alpha=\"0.04\", expect_size=\"10017792\"] \n  8 -> 10 [size =\"10017792\"]\n  9 [size=\"95899648\", alpha=\"0.19\", expect_size=\"47949824\"] \n  9 -> 10 [size =\"47949824\"]\n  10 [size=\"46940160\", alpha=\"0.19\", expect_size=\"23470080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162648747\", alpha=\"0.14\", expect_size=\"48794624\"] \n  1 -> 8 [size =\"48794624\"]\n  2 [size=\"37440853\", alpha=\"0.04\", expect_size=\"11232256\"] \n  2 -> 5 [size =\"11232256\"]\n  2 -> 7 [size =\"11232256\"]\n  3 [size=\"25739947\", alpha=\"0.04\", expect_size=\"7721984\"] \n  3 -> 6 [size =\"7721984\"]\n  4 [size=\"130341547\", alpha=\"0.01\", expect_size=\"39102464\"] \n  4 -> 7 [size =\"39102464\"]\n  4 -> 8 [size =\"39102464\"]\n  5 [size=\"162409813\", alpha=\"0.03\", expect_size=\"48722944\"] \n  5 -> 9 [size =\"48722944\"]\n  6 [size=\"160522240\", alpha=\"0.08\", expect_size=\"48156672\"] \n  7 [size=\"159368533\", alpha=\"0.13\", expect_size=\"47810560\"] \n  7 -> 10 [size =\"47810560\"]\n  8 [size=\"153712640\", alpha=\"0.11\", expect_size=\"46113792\"] \n  8 -> 9 [size =\"46113792\"]\n  9 [size=\"144687787\", alpha=\"0.18\", expect_size=\"43406336\"] \n  10 [size=\"23773867\", alpha=\"0.08\", expect_size=\"7132160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45561856\", alpha=\"0.13\", expect_size=\"22780928\"] \n  1 -> 2 [size =\"22780928\"]\n  2 [size=\"73699328\", alpha=\"0.17\", expect_size=\"36849664\"] \n  2 -> 3 [size =\"36849664\"]\n  3 [size=\"92129280\", alpha=\"0.19\", expect_size=\"46064640\"] \n  3 -> 4 [size =\"46064640\"]\n  4 [size=\"33409024\", alpha=\"0.01\", expect_size=\"16704512\"] \n  4 -> 5 [size =\"16704512\"]\n  5 [size=\"95186944\", alpha=\"0.07\", expect_size=\"47593472\"] \n  5 -> 6 [size =\"47593472\"]\n  6 [size=\"25776128\", alpha=\"0.15\", expect_size=\"12888064\"] \n  6 -> 7 [size =\"12888064\"]\n  7 [size=\"37470208\", alpha=\"0.00\", expect_size=\"18735104\"] \n  7 -> 8 [size =\"18735104\"]\n  8 [size=\"67622912\", alpha=\"0.18\", expect_size=\"33811456\"] \n  8 -> 9 [size =\"33811456\"]\n  9 [size=\"77656064\", alpha=\"0.03\", expect_size=\"38828032\"] \n  9 -> 10 [size =\"38828032\"]\n  10 [size=\"75798528\", alpha=\"0.03\", expect_size=\"37899264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136499200\", alpha=\"0.20\", expect_size=\"40949760\"] \n  1 -> 4 [size =\"40949760\"]\n  1 -> 5 [size =\"40949760\"]\n  2 [size=\"143646720\", alpha=\"0.14\", expect_size=\"43094016\"] \n  2 -> 6 [size =\"43094016\"]\n  3 [size=\"89524907\", alpha=\"0.15\", expect_size=\"26857472\"] \n  3 -> 4 [size =\"26857472\"]\n  4 [size=\"156791467\", alpha=\"0.13\", expect_size=\"47037440\"] \n  4 -> 9 [size =\"47037440\"]\n  5 [size=\"107243520\", alpha=\"0.11\", expect_size=\"32173056\"] \n  5 -> 8 [size =\"32173056\"]\n  6 [size=\"72953173\", alpha=\"0.04\", expect_size=\"21885952\"] \n  6 -> 7 [size =\"21885952\"]\n  6 -> 8 [size =\"21885952\"]\n  7 [size=\"149070507\", alpha=\"0.17\", expect_size=\"44721152\"] \n  8 [size=\"26944853\", alpha=\"0.11\", expect_size=\"8083456\"] \n  8 -> 10 [size =\"8083456\"]\n  9 [size=\"110315520\", alpha=\"0.03\", expect_size=\"33094656\"] \n  10 [size=\"62747307\", alpha=\"0.16\", expect_size=\"18824192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53548373\", alpha=\"0.13\", expect_size=\"16064512\"] \n  1 -> 5 [size =\"16064512\"]\n  1 -> 10 [size =\"16064512\"]\n  2 [size=\"25637547\", alpha=\"0.18\", expect_size=\"7691264\"] \n  2 -> 7 [size =\"7691264\"]\n  2 -> 8 [size =\"7691264\"]\n  3 [size=\"70949547\", alpha=\"0.20\", expect_size=\"21284864\"] \n  3 -> 6 [size =\"21284864\"]\n  3 -> 10 [size =\"21284864\"]\n  4 [size=\"113008640\", alpha=\"0.10\", expect_size=\"33902592\"] \n  4 -> 8 [size =\"33902592\"]\n  4 -> 9 [size =\"33902592\"]\n  5 [size=\"99566933\", alpha=\"0.19\", expect_size=\"29870080\"] \n  6 [size=\"64293547\", alpha=\"0.14\", expect_size=\"19288064\"] \n  7 [size=\"46134613\", alpha=\"0.15\", expect_size=\"13840384\"] \n  8 [size=\"43939840\", alpha=\"0.11\", expect_size=\"13181952\"] \n  9 [size=\"141817173\", alpha=\"0.06\", expect_size=\"42545152\"] \n  10 [size=\"122429440\", alpha=\"0.14\", expect_size=\"36728832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51919360\", alpha=\"0.10\", expect_size=\"20767744\"] \n  1 -> 10 [size =\"20767744\"]\n  2 [size=\"70548480\", alpha=\"0.10\", expect_size=\"28219392\"] \n  2 -> 7 [size =\"28219392\"]\n  3 [size=\"124375040\", alpha=\"0.20\", expect_size=\"49750016\"] \n  3 -> 7 [size =\"49750016\"]\n  4 [size=\"121891840\", alpha=\"0.02\", expect_size=\"48756736\"] \n  4 -> 8 [size =\"48756736\"]\n  5 [size=\"130447360\", alpha=\"0.06\", expect_size=\"52178944\"] \n  5 -> 8 [size =\"52178944\"]\n  6 [size=\"50165760\", alpha=\"0.00\", expect_size=\"20066304\"] \n  6 -> 8 [size =\"20066304\"]\n  6 -> 9 [size =\"20066304\"]\n  6 -> 10 [size =\"20066304\"]\n  7 [size=\"50040320\", alpha=\"0.13\", expect_size=\"20016128\"] \n  8 [size=\"59653120\", alpha=\"0.10\", expect_size=\"23861248\"] \n  9 [size=\"35737600\", alpha=\"0.09\", expect_size=\"14295040\"] \n  10 [size=\"104427520\", alpha=\"0.12\", expect_size=\"41771008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51558400\", alpha=\"0.17\", expect_size=\"25779200\"] \n  2 [size=\"98217984\", alpha=\"0.11\", expect_size=\"49108992\"] \n  3 [size=\"15716352\", alpha=\"0.10\", expect_size=\"7858176\"] \n  3 -> 9 [size =\"7858176\"]\n  4 [size=\"81010688\", alpha=\"0.14\", expect_size=\"40505344\"] \n  4 -> 9 [size =\"40505344\"]\n  4 -> 10 [size =\"40505344\"]\n  5 [size=\"102907904\", alpha=\"0.13\", expect_size=\"51453952\"] \n  5 -> 9 [size =\"51453952\"]\n  6 [size=\"42960896\", alpha=\"0.16\", expect_size=\"21480448\"] \n  6 -> 10 [size =\"21480448\"]\n  7 [size=\"53817344\", alpha=\"0.11\", expect_size=\"26908672\"] \n  7 -> 9 [size =\"26908672\"]\n  8 [size=\"70694912\", alpha=\"0.19\", expect_size=\"35347456\"] \n  9 [size=\"68259840\", alpha=\"0.03\", expect_size=\"34129920\"] \n  10 [size=\"95617024\", alpha=\"0.20\", expect_size=\"47808512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115701760\", alpha=\"0.03\", expect_size=\"46280704\"] \n  1 -> 2 [size =\"46280704\"]\n  1 -> 3 [size =\"46280704\"]\n  2 [size=\"32532480\", alpha=\"0.11\", expect_size=\"13012992\"] \n  2 -> 5 [size =\"13012992\"]\n  2 -> 6 [size =\"13012992\"]\n  3 [size=\"21273600\", alpha=\"0.16\", expect_size=\"8509440\"] \n  3 -> 4 [size =\"8509440\"]\n  4 [size=\"67432960\", alpha=\"0.00\", expect_size=\"26973184\"] \n  4 -> 7 [size =\"26973184\"]\n  4 -> 8 [size =\"26973184\"]\n  5 [size=\"56819200\", alpha=\"0.13\", expect_size=\"22727680\"] \n  6 [size=\"84088320\", alpha=\"0.09\", expect_size=\"33635328\"] \n  7 [size=\"116684800\", alpha=\"0.08\", expect_size=\"46673920\"] \n  7 -> 9 [size =\"46673920\"]\n  7 -> 10 [size =\"46673920\"]\n  8 [size=\"75576320\", alpha=\"0.17\", expect_size=\"30230528\"] \n  9 [size=\"16368640\", alpha=\"0.18\", expect_size=\"6547456\"] \n  10 [size=\"56865280\", alpha=\"0.08\", expect_size=\"22746112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20339200\", alpha=\"0.05\", expect_size=\"8135680\"] \n  1 -> 2 [size =\"8135680\"]\n  2 [size=\"61918720\", alpha=\"0.05\", expect_size=\"24767488\"] \n  2 -> 3 [size =\"24767488\"]\n  3 [size=\"119183360\", alpha=\"0.20\", expect_size=\"47673344\"] \n  3 -> 4 [size =\"47673344\"]\n  4 [size=\"70448640\", alpha=\"0.06\", expect_size=\"28179456\"] \n  4 -> 5 [size =\"28179456\"]\n  5 [size=\"58255360\", alpha=\"0.03\", expect_size=\"23302144\"] \n  5 -> 6 [size =\"23302144\"]\n  6 [size=\"57300480\", alpha=\"0.01\", expect_size=\"22920192\"] \n  6 -> 7 [size =\"22920192\"]\n  7 [size=\"76907520\", alpha=\"0.07\", expect_size=\"30763008\"] \n  7 -> 8 [size =\"30763008\"]\n  8 [size=\"51622400\", alpha=\"0.10\", expect_size=\"20648960\"] \n  8 -> 9 [size =\"20648960\"]\n  9 [size=\"67896320\", alpha=\"0.06\", expect_size=\"27158528\"] \n  9 -> 10 [size =\"27158528\"]\n  10 [size=\"20741120\", alpha=\"0.12\", expect_size=\"8296448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64315392\", alpha=\"0.01\", expect_size=\"32157696\"] \n  1 -> 2 [size =\"32157696\"]\n  2 [size=\"58169344\", alpha=\"0.03\", expect_size=\"29084672\"] \n  2 -> 3 [size =\"29084672\"]\n  3 [size=\"33859584\", alpha=\"0.07\", expect_size=\"16929792\"] \n  3 -> 4 [size =\"16929792\"]\n  4 [size=\"85202944\", alpha=\"0.17\", expect_size=\"42601472\"] \n  4 -> 5 [size =\"42601472\"]\n  5 [size=\"35624960\", alpha=\"0.02\", expect_size=\"17812480\"] \n  5 -> 6 [size =\"17812480\"]\n  6 [size=\"86599680\", alpha=\"0.08\", expect_size=\"43299840\"] \n  6 -> 7 [size =\"43299840\"]\n  7 [size=\"75929600\", alpha=\"0.01\", expect_size=\"37964800\"] \n  7 -> 8 [size =\"37964800\"]\n  8 [size=\"75505664\", alpha=\"0.16\", expect_size=\"37752832\"] \n  8 -> 9 [size =\"37752832\"]\n  9 [size=\"53796864\", alpha=\"0.01\", expect_size=\"26898432\"] \n  9 -> 10 [size =\"26898432\"]\n  10 [size=\"83292160\", alpha=\"0.09\", expect_size=\"41646080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24573440\", alpha=\"0.07\", expect_size=\"9829376\"] \n  1 -> 2 [size =\"9829376\"]\n  2 [size=\"86095360\", alpha=\"0.12\", expect_size=\"34438144\"] \n  2 -> 3 [size =\"34438144\"]\n  3 [size=\"86648320\", alpha=\"0.05\", expect_size=\"34659328\"] \n  3 -> 4 [size =\"34659328\"]\n  4 [size=\"28577280\", alpha=\"0.10\", expect_size=\"11430912\"] \n  4 -> 5 [size =\"11430912\"]\n  5 [size=\"35719680\", alpha=\"0.02\", expect_size=\"14287872\"] \n  5 -> 6 [size =\"14287872\"]\n  6 [size=\"47278080\", alpha=\"0.07\", expect_size=\"18911232\"] \n  6 -> 7 [size =\"18911232\"]\n  7 [size=\"61342720\", alpha=\"0.06\", expect_size=\"24537088\"] \n  7 -> 8 [size =\"24537088\"]\n  8 [size=\"28231680\", alpha=\"0.13\", expect_size=\"11292672\"] \n  8 -> 9 [size =\"11292672\"]\n  9 [size=\"18634240\", alpha=\"0.17\", expect_size=\"7453696\"] \n  9 -> 10 [size =\"7453696\"]\n  10 [size=\"82890240\", alpha=\"0.08\", expect_size=\"33156096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169816747\", alpha=\"0.14\", expect_size=\"50945024\"] \n  1 -> 9 [size =\"50945024\"]\n  2 [size=\"119084373\", alpha=\"0.11\", expect_size=\"35725312\"] \n  2 -> 9 [size =\"35725312\"]\n  2 -> 10 [size =\"35725312\"]\n  3 [size=\"115002027\", alpha=\"0.02\", expect_size=\"34500608\"] \n  3 -> 9 [size =\"34500608\"]\n  3 -> 10 [size =\"34500608\"]\n  4 [size=\"155552427\", alpha=\"0.05\", expect_size=\"46665728\"] \n  4 -> 8 [size =\"46665728\"]\n  4 -> 9 [size =\"46665728\"]\n  4 -> 10 [size =\"46665728\"]\n  5 [size=\"81844907\", alpha=\"0.20\", expect_size=\"24553472\"] \n  5 -> 9 [size =\"24553472\"]\n  5 -> 10 [size =\"24553472\"]\n  5 -> 10 [size =\"24553472\"]\n  6 [size=\"96651947\", alpha=\"0.19\", expect_size=\"28995584\"] \n  7 [size=\"49349973\", alpha=\"0.02\", expect_size=\"14804992\"] \n  8 [size=\"154791253\", alpha=\"0.15\", expect_size=\"46437376\"] \n  9 [size=\"54975147\", alpha=\"0.02\", expect_size=\"16492544\"] \n  10 [size=\"107871573\", alpha=\"0.01\", expect_size=\"32361472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76023808\", alpha=\"0.02\", expect_size=\"38011904\"] \n  1 -> 7 [size =\"38011904\"]\n  1 -> 9 [size =\"38011904\"]\n  2 [size=\"103294976\", alpha=\"0.15\", expect_size=\"51647488\"] \n  2 -> 8 [size =\"51647488\"]\n  2 -> 9 [size =\"51647488\"]\n  3 [size=\"79577088\", alpha=\"0.14\", expect_size=\"39788544\"] \n  3 -> 6 [size =\"39788544\"]\n  3 -> 8 [size =\"39788544\"]\n  3 -> 9 [size =\"39788544\"]\n  4 [size=\"54689792\", alpha=\"0.18\", expect_size=\"27344896\"] \n  4 -> 9 [size =\"27344896\"]\n  5 [size=\"98537472\", alpha=\"0.10\", expect_size=\"49268736\"] \n  5 -> 7 [size =\"49268736\"]\n  5 -> 9 [size =\"49268736\"]\n  6 [size=\"60930048\", alpha=\"0.17\", expect_size=\"30465024\"] \n  6 -> 10 [size =\"30465024\"]\n  7 [size=\"76920832\", alpha=\"0.12\", expect_size=\"38460416\"] \n  8 [size=\"56346624\", alpha=\"0.03\", expect_size=\"28173312\"] \n  8 -> 10 [size =\"28173312\"]\n  9 [size=\"19582976\", alpha=\"0.04\", expect_size=\"9791488\"] \n  9 -> 10 [size =\"9791488\"]\n  10 [size=\"34799616\", alpha=\"0.13\", expect_size=\"17399808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59207680\", alpha=\"0.09\", expect_size=\"23683072\"] \n  1 -> 2 [size =\"23683072\"]\n  2 [size=\"45365760\", alpha=\"0.05\", expect_size=\"18146304\"] \n  2 -> 3 [size =\"18146304\"]\n  3 [size=\"40033280\", alpha=\"0.16\", expect_size=\"16013312\"] \n  3 -> 4 [size =\"16013312\"]\n  4 [size=\"20920320\", alpha=\"0.03\", expect_size=\"8368128\"] \n  4 -> 5 [size =\"8368128\"]\n  5 [size=\"48778240\", alpha=\"0.16\", expect_size=\"19511296\"] \n  5 -> 6 [size =\"19511296\"]\n  6 [size=\"27179520\", alpha=\"0.02\", expect_size=\"10871808\"] \n  6 -> 7 [size =\"10871808\"]\n  7 [size=\"127393280\", alpha=\"0.05\", expect_size=\"50957312\"] \n  7 -> 8 [size =\"50957312\"]\n  8 [size=\"72552960\", alpha=\"0.05\", expect_size=\"29021184\"] \n  8 -> 9 [size =\"29021184\"]\n  9 [size=\"42472960\", alpha=\"0.18\", expect_size=\"16989184\"] \n  9 -> 10 [size =\"16989184\"]\n  10 [size=\"66112000\", alpha=\"0.00\", expect_size=\"26444800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:05 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33973760\", alpha=\"0.09\", expect_size=\"13589504\"] \n  1 -> 7 [size =\"13589504\"]\n  1 -> 8 [size =\"13589504\"]\n  1 -> 9 [size =\"13589504\"]\n  1 -> 10 [size =\"13589504\"]\n  2 [size=\"75200000\", alpha=\"0.14\", expect_size=\"30080000\"] \n  2 -> 8 [size =\"30080000\"]\n  2 -> 10 [size =\"30080000\"]\n  3 [size=\"53007360\", alpha=\"0.03\", expect_size=\"21202944\"] \n  3 -> 8 [size =\"21202944\"]\n  4 [size=\"74524160\", alpha=\"0.09\", expect_size=\"29809664\"] \n  4 -> 7 [size =\"29809664\"]\n  4 -> 8 [size =\"29809664\"]\n  4 -> 9 [size =\"29809664\"]\n  5 [size=\"56698880\", alpha=\"0.14\", expect_size=\"22679552\"] \n  5 -> 10 [size =\"22679552\"]\n  6 [size=\"19328000\", alpha=\"0.02\", expect_size=\"7731200\"] \n  6 -> 7 [size =\"7731200\"]\n  6 -> 10 [size =\"7731200\"]\n  7 [size=\"128995840\", alpha=\"0.08\", expect_size=\"51598336\"] \n  8 [size=\"53849600\", alpha=\"0.13\", expect_size=\"21539840\"] \n  9 [size=\"20472320\", alpha=\"0.09\", expect_size=\"8188928\"] \n  10 [size=\"108838400\", alpha=\"0.17\", expect_size=\"43535360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74233856\", alpha=\"0.10\", expect_size=\"37116928\"] \n  1 -> 2 [size =\"37116928\"]\n  2 [size=\"17721344\", alpha=\"0.05\", expect_size=\"8860672\"] \n  2 -> 3 [size =\"8860672\"]\n  3 [size=\"33947648\", alpha=\"0.10\", expect_size=\"16973824\"] \n  3 -> 4 [size =\"16973824\"]\n  4 [size=\"17760256\", alpha=\"0.05\", expect_size=\"8880128\"] \n  4 -> 5 [size =\"8880128\"]\n  5 [size=\"58124288\", alpha=\"0.03\", expect_size=\"29062144\"] \n  5 -> 6 [size =\"29062144\"]\n  6 [size=\"66099200\", alpha=\"0.01\", expect_size=\"33049600\"] \n  6 -> 7 [size =\"33049600\"]\n  7 [size=\"78931968\", alpha=\"0.17\", expect_size=\"39465984\"] \n  7 -> 8 [size =\"39465984\"]\n  8 [size=\"73437184\", alpha=\"0.08\", expect_size=\"36718592\"] \n  8 -> 9 [size =\"36718592\"]\n  9 [size=\"101386240\", alpha=\"0.12\", expect_size=\"50693120\"] \n  9 -> 10 [size =\"50693120\"]\n  10 [size=\"34359296\", alpha=\"0.17\", expect_size=\"17179648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64448000\", alpha=\"0.13\", expect_size=\"25779200\"] \n  1 -> 7 [size =\"25779200\"]\n  1 -> 8 [size =\"25779200\"]\n  2 [size=\"73310720\", alpha=\"0.17\", expect_size=\"29324288\"] \n  2 -> 5 [size =\"29324288\"]\n  2 -> 6 [size =\"29324288\"]\n  2 -> 7 [size =\"29324288\"]\n  2 -> 8 [size =\"29324288\"]\n  2 -> 9 [size =\"29324288\"]\n  3 [size=\"51361280\", alpha=\"0.07\", expect_size=\"20544512\"] \n  3 -> 5 [size =\"20544512\"]\n  3 -> 6 [size =\"20544512\"]\n  3 -> 8 [size =\"20544512\"]\n  3 -> 9 [size =\"20544512\"]\n  3 -> 9 [size =\"20544512\"]\n  4 [size=\"104729600\", alpha=\"0.16\", expect_size=\"41891840\"] \n  4 -> 7 [size =\"41891840\"]\n  4 -> 8 [size =\"41891840\"]\n  4 -> 9 [size =\"41891840\"]\n  5 [size=\"89684480\", alpha=\"0.17\", expect_size=\"35873792\"] \n  6 [size=\"58577920\", alpha=\"0.17\", expect_size=\"23431168\"] \n  7 [size=\"111201280\", alpha=\"0.14\", expect_size=\"44480512\"] \n  8 [size=\"23779840\", alpha=\"0.02\", expect_size=\"9511936\"] \n  9 [size=\"126520320\", alpha=\"0.18\", expect_size=\"50608128\"] \n  9 -> 10 [size =\"50608128\"]\n  10 [size=\"79790080\", alpha=\"0.15\", expect_size=\"31916032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80412160\", alpha=\"0.05\", expect_size=\"32164864\"] \n  1 -> 5 [size =\"32164864\"]\n  2 [size=\"69171200\", alpha=\"0.04\", expect_size=\"27668480\"] \n  2 -> 4 [size =\"27668480\"]\n  3 [size=\"90112000\", alpha=\"0.16\", expect_size=\"36044800\"] \n  4 [size=\"49681920\", alpha=\"0.20\", expect_size=\"19872768\"] \n  4 -> 6 [size =\"19872768\"]\n  5 [size=\"119559680\", alpha=\"0.05\", expect_size=\"47823872\"] \n  5 -> 7 [size =\"47823872\"]\n  6 [size=\"70842880\", alpha=\"0.17\", expect_size=\"28337152\"] \n  6 -> 8 [size =\"28337152\"]\n  7 [size=\"65556480\", alpha=\"0.10\", expect_size=\"26222592\"] \n  7 -> 9 [size =\"26222592\"]\n  8 [size=\"76011520\", alpha=\"0.12\", expect_size=\"30404608\"] \n  8 -> 10 [size =\"30404608\"]\n  9 [size=\"14530560\", alpha=\"0.10\", expect_size=\"5812224\"] \n  9 -> 10 [size =\"5812224\"]\n  10 [size=\"37601280\", alpha=\"0.11\", expect_size=\"15040512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71905280\", alpha=\"0.19\", expect_size=\"21571584\"] \n  1 -> 4 [size =\"21571584\"]\n  1 -> 5 [size =\"21571584\"]\n  2 [size=\"74243413\", alpha=\"0.13\", expect_size=\"22273024\"] \n  2 -> 4 [size =\"22273024\"]\n  3 [size=\"133294080\", alpha=\"0.08\", expect_size=\"39988224\"] \n  3 -> 5 [size =\"39988224\"]\n  4 [size=\"157736960\", alpha=\"0.20\", expect_size=\"47321088\"] \n  4 -> 6 [size =\"47321088\"]\n  4 -> 7 [size =\"47321088\"]\n  4 -> 8 [size =\"47321088\"]\n  5 [size=\"71437653\", alpha=\"0.13\", expect_size=\"21431296\"] \n  5 -> 6 [size =\"21431296\"]\n  5 -> 7 [size =\"21431296\"]\n  5 -> 8 [size =\"21431296\"]\n  6 [size=\"104502613\", alpha=\"0.01\", expect_size=\"31350784\"] \n  6 -> 9 [size =\"31350784\"]\n  6 -> 10 [size =\"31350784\"]\n  7 [size=\"53203627\", alpha=\"0.00\", expect_size=\"15961088\"] \n  7 -> 9 [size =\"15961088\"]\n  7 -> 10 [size =\"15961088\"]\n  8 [size=\"170164907\", alpha=\"0.15\", expect_size=\"51049472\"] \n  8 -> 9 [size =\"51049472\"]\n  8 -> 10 [size =\"51049472\"]\n  9 [size=\"141110613\", alpha=\"0.11\", expect_size=\"42333184\"] \n  10 [size=\"76888747\", alpha=\"0.09\", expect_size=\"23066624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43143680\", alpha=\"0.04\", expect_size=\"17257472\"] \n  1 -> 2 [size =\"17257472\"]\n  2 [size=\"130419200\", alpha=\"0.08\", expect_size=\"52167680\"] \n  2 -> 3 [size =\"52167680\"]\n  3 [size=\"96299520\", alpha=\"0.11\", expect_size=\"38519808\"] \n  3 -> 4 [size =\"38519808\"]\n  4 [size=\"116410880\", alpha=\"0.13\", expect_size=\"46564352\"] \n  4 -> 5 [size =\"46564352\"]\n  5 [size=\"28590080\", alpha=\"0.19\", expect_size=\"11436032\"] \n  5 -> 6 [size =\"11436032\"]\n  6 [size=\"63546880\", alpha=\"0.03\", expect_size=\"25418752\"] \n  6 -> 7 [size =\"25418752\"]\n  7 [size=\"127416320\", alpha=\"0.05\", expect_size=\"50966528\"] \n  7 -> 8 [size =\"50966528\"]\n  8 [size=\"45795840\", alpha=\"0.05\", expect_size=\"18318336\"] \n  8 -> 9 [size =\"18318336\"]\n  9 [size=\"87795200\", alpha=\"0.14\", expect_size=\"35118080\"] \n  9 -> 10 [size =\"35118080\"]\n  10 [size=\"108641280\", alpha=\"0.08\", expect_size=\"43456512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36753408\", alpha=\"0.20\", expect_size=\"18376704\"] \n  1 -> 2 [size =\"18376704\"]\n  2 [size=\"67473408\", alpha=\"0.07\", expect_size=\"33736704\"] \n  2 -> 3 [size =\"33736704\"]\n  3 [size=\"17625088\", alpha=\"0.09\", expect_size=\"8812544\"] \n  3 -> 4 [size =\"8812544\"]\n  4 [size=\"30138368\", alpha=\"0.06\", expect_size=\"15069184\"] \n  4 -> 5 [size =\"15069184\"]\n  5 [size=\"14995456\", alpha=\"0.09\", expect_size=\"7497728\"] \n  5 -> 6 [size =\"7497728\"]\n  6 [size=\"95385600\", alpha=\"0.11\", expect_size=\"47692800\"] \n  6 -> 7 [size =\"47692800\"]\n  7 [size=\"73766912\", alpha=\"0.00\", expect_size=\"36883456\"] \n  7 -> 8 [size =\"36883456\"]\n  8 [size=\"76462080\", alpha=\"0.13\", expect_size=\"38231040\"] \n  8 -> 9 [size =\"38231040\"]\n  9 [size=\"29347840\", alpha=\"0.11\", expect_size=\"14673920\"] \n  9 -> 10 [size =\"14673920\"]\n  10 [size=\"67493888\", alpha=\"0.17\", expect_size=\"33746944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47498240\", alpha=\"0.06\", expect_size=\"18999296\"] \n  1 -> 2 [size =\"18999296\"]\n  2 [size=\"36756480\", alpha=\"0.05\", expect_size=\"14702592\"] \n  2 -> 3 [size =\"14702592\"]\n  3 [size=\"122877440\", alpha=\"0.16\", expect_size=\"49150976\"] \n  3 -> 4 [size =\"49150976\"]\n  4 [size=\"74677760\", alpha=\"0.08\", expect_size=\"29871104\"] \n  4 -> 5 [size =\"29871104\"]\n  5 [size=\"65187840\", alpha=\"0.18\", expect_size=\"26075136\"] \n  5 -> 6 [size =\"26075136\"]\n  6 [size=\"53685760\", alpha=\"0.09\", expect_size=\"21474304\"] \n  6 -> 7 [size =\"21474304\"]\n  7 [size=\"53056000\", alpha=\"0.15\", expect_size=\"21222400\"] \n  7 -> 8 [size =\"21222400\"]\n  8 [size=\"22625280\", alpha=\"0.09\", expect_size=\"9050112\"] \n  8 -> 9 [size =\"9050112\"]\n  9 [size=\"38801920\", alpha=\"0.06\", expect_size=\"15520768\"] \n  9 -> 10 [size =\"15520768\"]\n  10 [size=\"112145920\", alpha=\"0.14\", expect_size=\"44858368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146182827\", alpha=\"0.06\", expect_size=\"43854848\"] \n  1 -> 10 [size =\"43854848\"]\n  2 [size=\"60958720\", alpha=\"0.14\", expect_size=\"18287616\"] \n  2 -> 10 [size =\"18287616\"]\n  3 [size=\"100430507\", alpha=\"0.06\", expect_size=\"30129152\"] \n  3 -> 9 [size =\"30129152\"]\n  3 -> 10 [size =\"30129152\"]\n  4 [size=\"138342400\", alpha=\"0.06\", expect_size=\"41502720\"] \n  4 -> 10 [size =\"41502720\"]\n  5 [size=\"131048107\", alpha=\"0.16\", expect_size=\"39314432\"] \n  5 -> 9 [size =\"39314432\"]\n  5 -> 10 [size =\"39314432\"]\n  6 [size=\"23794347\", alpha=\"0.07\", expect_size=\"7138304\"] \n  6 -> 10 [size =\"7138304\"]\n  7 [size=\"50029227\", alpha=\"0.07\", expect_size=\"15008768\"] \n  7 -> 10 [size =\"15008768\"]\n  8 [size=\"40789333\", alpha=\"0.06\", expect_size=\"12236800\"] \n  8 -> 10 [size =\"12236800\"]\n  9 [size=\"36570453\", alpha=\"0.00\", expect_size=\"10971136\"] \n  10 [size=\"39260160\", alpha=\"0.19\", expect_size=\"11778048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34767360\", alpha=\"0.01\", expect_size=\"13906944\"] \n  1 -> 5 [size =\"13906944\"]\n  2 [size=\"49436160\", alpha=\"0.00\", expect_size=\"19774464\"] \n  2 -> 4 [size =\"19774464\"]\n  3 [size=\"51719680\", alpha=\"0.08\", expect_size=\"20687872\"] \n  3 -> 5 [size =\"20687872\"]\n  4 [size=\"119897600\", alpha=\"0.12\", expect_size=\"47959040\"] \n  4 -> 6 [size =\"47959040\"]\n  4 -> 7 [size =\"47959040\"]\n  5 [size=\"90309120\", alpha=\"0.02\", expect_size=\"36123648\"] \n  5 -> 8 [size =\"36123648\"]\n  6 [size=\"91737600\", alpha=\"0.12\", expect_size=\"36695040\"] \n  6 -> 9 [size =\"36695040\"]\n  6 -> 10 [size =\"36695040\"]\n  7 [size=\"101547520\", alpha=\"0.16\", expect_size=\"40619008\"] \n  8 [size=\"102499840\", alpha=\"0.14\", expect_size=\"40999936\"] \n  8 -> 10 [size =\"40999936\"]\n  9 [size=\"96245760\", alpha=\"0.04\", expect_size=\"38498304\"] \n  10 [size=\"57876480\", alpha=\"0.02\", expect_size=\"23150592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19156992\", alpha=\"0.11\", expect_size=\"9578496\"] \n  1 -> 8 [size =\"9578496\"]\n  1 -> 9 [size =\"9578496\"]\n  1 -> 10 [size =\"9578496\"]\n  2 [size=\"20338688\", alpha=\"0.12\", expect_size=\"10169344\"] \n  2 -> 7 [size =\"10169344\"]\n  2 -> 8 [size =\"10169344\"]\n  2 -> 9 [size =\"10169344\"]\n  3 [size=\"78073856\", alpha=\"0.08\", expect_size=\"39036928\"] \n  3 -> 7 [size =\"39036928\"]\n  4 [size=\"35151872\", alpha=\"0.17\", expect_size=\"17575936\"] \n  4 -> 7 [size =\"17575936\"]\n  5 [size=\"74076160\", alpha=\"0.02\", expect_size=\"37038080\"] \n  5 -> 10 [size =\"37038080\"]\n  6 [size=\"36458496\", alpha=\"0.18\", expect_size=\"18229248\"] \n  7 [size=\"55785472\", alpha=\"0.04\", expect_size=\"27892736\"] \n  8 [size=\"22065152\", alpha=\"0.11\", expect_size=\"11032576\"] \n  9 [size=\"67293184\", alpha=\"0.13\", expect_size=\"33646592\"] \n  10 [size=\"42565632\", alpha=\"0.08\", expect_size=\"21282816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15585280\", alpha=\"0.16\", expect_size=\"7792640\"] \n  1 -> 4 [size =\"7792640\"]\n  2 [size=\"48293888\", alpha=\"0.04\", expect_size=\"24146944\"] \n  3 [size=\"90621952\", alpha=\"0.14\", expect_size=\"45310976\"] \n  3 -> 5 [size =\"45310976\"]\n  4 [size=\"11624448\", alpha=\"0.00\", expect_size=\"5812224\"] \n  4 -> 6 [size =\"5812224\"]\n  4 -> 7 [size =\"5812224\"]\n  5 [size=\"12496896\", alpha=\"0.20\", expect_size=\"6248448\"] \n  5 -> 8 [size =\"6248448\"]\n  6 [size=\"57143296\", alpha=\"0.04\", expect_size=\"28571648\"] \n  6 -> 9 [size =\"28571648\"]\n  7 [size=\"72781824\", alpha=\"0.06\", expect_size=\"36390912\"] \n  7 -> 10 [size =\"36390912\"]\n  8 [size=\"31430656\", alpha=\"0.02\", expect_size=\"15715328\"] \n  9 [size=\"47890432\", alpha=\"0.19\", expect_size=\"23945216\"] \n  10 [size=\"37761024\", alpha=\"0.09\", expect_size=\"18880512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87900160\", alpha=\"0.18\", expect_size=\"35160064\"] \n  1 -> 9 [size =\"35160064\"]\n  1 -> 9 [size =\"35160064\"]\n  2 [size=\"25036800\", alpha=\"0.20\", expect_size=\"10014720\"] \n  2 -> 8 [size =\"10014720\"]\n  2 -> 9 [size =\"10014720\"]\n  2 -> 10 [size =\"10014720\"]\n  3 [size=\"114547200\", alpha=\"0.07\", expect_size=\"45818880\"] \n  3 -> 8 [size =\"45818880\"]\n  4 [size=\"41323520\", alpha=\"0.02\", expect_size=\"16529408\"] \n  4 -> 10 [size =\"16529408\"]\n  5 [size=\"92241920\", alpha=\"0.18\", expect_size=\"36896768\"] \n  5 -> 8 [size =\"36896768\"]\n  5 -> 9 [size =\"36896768\"]\n  5 -> 10 [size =\"36896768\"]\n  6 [size=\"86791680\", alpha=\"0.06\", expect_size=\"34716672\"] \n  6 -> 8 [size =\"34716672\"]\n  6 -> 10 [size =\"34716672\"]\n  7 [size=\"88560640\", alpha=\"0.01\", expect_size=\"35424256\"] \n  7 -> 8 [size =\"35424256\"]\n  7 -> 9 [size =\"35424256\"]\n  7 -> 10 [size =\"35424256\"]\n  8 [size=\"116093440\", alpha=\"0.13\", expect_size=\"46437376\"] \n  9 [size=\"116631040\", alpha=\"0.01\", expect_size=\"46652416\"] \n  10 [size=\"74278400\", alpha=\"0.14\", expect_size=\"29711360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62446933\", alpha=\"0.15\", expect_size=\"18734080\"] \n  1 -> 4 [size =\"18734080\"]\n  1 -> 5 [size =\"18734080\"]\n  2 [size=\"29405867\", alpha=\"0.10\", expect_size=\"8821760\"] \n  2 -> 3 [size =\"8821760\"]\n  3 [size=\"156105387\", alpha=\"0.16\", expect_size=\"46831616\"] \n  3 -> 6 [size =\"46831616\"]\n  3 -> 7 [size =\"46831616\"]\n  4 [size=\"129559893\", alpha=\"0.07\", expect_size=\"38867968\"] \n  4 -> 8 [size =\"38867968\"]\n  5 [size=\"55244800\", alpha=\"0.15\", expect_size=\"16573440\"] \n  5 -> 6 [size =\"16573440\"]\n  6 [size=\"38372693\", alpha=\"0.18\", expect_size=\"11511808\"] \n  7 [size=\"168611840\", alpha=\"0.04\", expect_size=\"50583552\"] \n  7 -> 9 [size =\"50583552\"]\n  7 -> 10 [size =\"50583552\"]\n  8 [size=\"116053333\", alpha=\"0.17\", expect_size=\"34816000\"] \n  9 [size=\"135690240\", alpha=\"0.08\", expect_size=\"40707072\"] \n  10 [size=\"29207893\", alpha=\"0.02\", expect_size=\"8762368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95877120\", alpha=\"0.12\", expect_size=\"47938560\"] \n  1 -> 2 [size =\"47938560\"]\n  2 [size=\"40845312\", alpha=\"0.05\", expect_size=\"20422656\"] \n  2 -> 3 [size =\"20422656\"]\n  3 [size=\"20879360\", alpha=\"0.13\", expect_size=\"10439680\"] \n  3 -> 4 [size =\"10439680\"]\n  4 [size=\"101541888\", alpha=\"0.11\", expect_size=\"50770944\"] \n  4 -> 5 [size =\"50770944\"]\n  5 [size=\"46039040\", alpha=\"0.03\", expect_size=\"23019520\"] \n  5 -> 6 [size =\"23019520\"]\n  6 [size=\"19716096\", alpha=\"0.05\", expect_size=\"9858048\"] \n  6 -> 7 [size =\"9858048\"]\n  7 [size=\"100306944\", alpha=\"0.13\", expect_size=\"50153472\"] \n  7 -> 8 [size =\"50153472\"]\n  8 [size=\"57176064\", alpha=\"0.19\", expect_size=\"28588032\"] \n  8 -> 9 [size =\"28588032\"]\n  9 [size=\"55169024\", alpha=\"0.09\", expect_size=\"27584512\"] \n  9 -> 10 [size =\"27584512\"]\n  10 [size=\"98035712\", alpha=\"0.11\", expect_size=\"49017856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88374613\", alpha=\"0.01\", expect_size=\"26512384\"] \n  1 -> 8 [size =\"26512384\"]\n  2 [size=\"84674560\", alpha=\"0.05\", expect_size=\"25402368\"] \n  2 -> 6 [size =\"25402368\"]\n  2 -> 7 [size =\"25402368\"]\n  3 [size=\"126716587\", alpha=\"0.09\", expect_size=\"38014976\"] \n  3 -> 7 [size =\"38014976\"]\n  3 -> 9 [size =\"38014976\"]\n  3 -> 10 [size =\"38014976\"]\n  4 [size=\"50964480\", alpha=\"0.19\", expect_size=\"15289344\"] \n  4 -> 6 [size =\"15289344\"]\n  5 [size=\"36925440\", alpha=\"0.20\", expect_size=\"11077632\"] \n  5 -> 6 [size =\"11077632\"]\n  5 -> 7 [size =\"11077632\"]\n  5 -> 9 [size =\"11077632\"]\n  6 [size=\"129860267\", alpha=\"0.16\", expect_size=\"38958080\"] \n  7 [size=\"29979307\", alpha=\"0.16\", expect_size=\"8993792\"] \n  8 [size=\"112977920\", alpha=\"0.01\", expect_size=\"33893376\"] \n  9 [size=\"40407040\", alpha=\"0.13\", expect_size=\"12122112\"] \n  10 [size=\"161215147\", alpha=\"0.18\", expect_size=\"48364544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65871360\", alpha=\"0.14\", expect_size=\"26348544\"] \n  1 -> 2 [size =\"26348544\"]\n  2 [size=\"76160000\", alpha=\"0.12\", expect_size=\"30464000\"] \n  2 -> 3 [size =\"30464000\"]\n  3 [size=\"53647360\", alpha=\"0.08\", expect_size=\"21458944\"] \n  3 -> 4 [size =\"21458944\"]\n  4 [size=\"27384320\", alpha=\"0.15\", expect_size=\"10953728\"] \n  4 -> 5 [size =\"10953728\"]\n  5 [size=\"95539200\", alpha=\"0.12\", expect_size=\"38215680\"] \n  5 -> 6 [size =\"38215680\"]\n  6 [size=\"16432640\", alpha=\"0.11\", expect_size=\"6573056\"] \n  6 -> 7 [size =\"6573056\"]\n  7 [size=\"52953600\", alpha=\"0.02\", expect_size=\"21181440\"] \n  7 -> 8 [size =\"21181440\"]\n  8 [size=\"109524480\", alpha=\"0.13\", expect_size=\"43809792\"] \n  8 -> 9 [size =\"43809792\"]\n  9 [size=\"22556160\", alpha=\"0.11\", expect_size=\"9022464\"] \n  9 -> 10 [size =\"9022464\"]\n  10 [size=\"129016320\", alpha=\"0.17\", expect_size=\"51606528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31649280\", alpha=\"0.15\", expect_size=\"12659712\"] \n  1 -> 8 [size =\"12659712\"]\n  1 -> 9 [size =\"12659712\"]\n  1 -> 10 [size =\"12659712\"]\n  2 [size=\"108124160\", alpha=\"0.09\", expect_size=\"43249664\"] \n  2 -> 6 [size =\"43249664\"]\n  2 -> 7 [size =\"43249664\"]\n  3 [size=\"120494080\", alpha=\"0.09\", expect_size=\"48197632\"] \n  3 -> 8 [size =\"48197632\"]\n  4 [size=\"113733120\", alpha=\"0.03\", expect_size=\"45493248\"] \n  4 -> 6 [size =\"45493248\"]\n  4 -> 10 [size =\"45493248\"]\n  5 [size=\"22663680\", alpha=\"0.04\", expect_size=\"9065472\"] \n  5 -> 6 [size =\"9065472\"]\n  6 [size=\"102830080\", alpha=\"0.09\", expect_size=\"41132032\"] \n  7 [size=\"114037760\", alpha=\"0.02\", expect_size=\"45615104\"] \n  8 [size=\"22018560\", alpha=\"0.19\", expect_size=\"8807424\"] \n  9 [size=\"67998720\", alpha=\"0.20\", expect_size=\"27199488\"] \n  10 [size=\"89272320\", alpha=\"0.14\", expect_size=\"35708928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69890048\", alpha=\"0.17\", expect_size=\"34945024\"] \n  1 -> 5 [size =\"34945024\"]\n  1 -> 6 [size =\"34945024\"]\n  2 [size=\"60514304\", alpha=\"0.17\", expect_size=\"30257152\"] \n  2 -> 5 [size =\"30257152\"]\n  3 [size=\"103067648\", alpha=\"0.16\", expect_size=\"51533824\"] \n  4 [size=\"32808960\", alpha=\"0.09\", expect_size=\"16404480\"] \n  5 [size=\"16521216\", alpha=\"0.04\", expect_size=\"8260608\"] \n  5 -> 7 [size =\"8260608\"]\n  6 [size=\"35117056\", alpha=\"0.19\", expect_size=\"17558528\"] \n  6 -> 8 [size =\"17558528\"]\n  6 -> 9 [size =\"17558528\"]\n  7 [size=\"57784320\", alpha=\"0.20\", expect_size=\"28892160\"] \n  7 -> 10 [size =\"28892160\"]\n  8 [size=\"98713600\", alpha=\"0.17\", expect_size=\"49356800\"] \n  8 -> 10 [size =\"49356800\"]\n  9 [size=\"28928000\", alpha=\"0.11\", expect_size=\"14464000\"] \n  10 [size=\"20504576\", alpha=\"0.07\", expect_size=\"10252288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106868053\", alpha=\"0.13\", expect_size=\"32060416\"] \n  1 -> 2 [size =\"32060416\"]\n  2 [size=\"102454613\", alpha=\"0.10\", expect_size=\"30736384\"] \n  2 -> 3 [size =\"30736384\"]\n  2 -> 4 [size =\"30736384\"]\n  3 [size=\"37376000\", alpha=\"0.11\", expect_size=\"11212800\"] \n  4 [size=\"153866240\", alpha=\"0.07\", expect_size=\"46159872\"] \n  4 -> 5 [size =\"46159872\"]\n  4 -> 6 [size =\"46159872\"]\n  5 [size=\"108919467\", alpha=\"0.13\", expect_size=\"32675840\"] \n  5 -> 7 [size =\"32675840\"]\n  6 [size=\"109213013\", alpha=\"0.12\", expect_size=\"32763904\"] \n  7 [size=\"168069120\", alpha=\"0.07\", expect_size=\"50420736\"] \n  7 -> 8 [size =\"50420736\"]\n  7 -> 9 [size =\"50420736\"]\n  7 -> 10 [size =\"50420736\"]\n  8 [size=\"134017707\", alpha=\"0.09\", expect_size=\"40205312\"] \n  9 [size=\"144124587\", alpha=\"0.10\", expect_size=\"43237376\"] \n  10 [size=\"45735253\", alpha=\"0.10\", expect_size=\"13720576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40235008\", alpha=\"0.13\", expect_size=\"20117504\"] \n  1 -> 3 [size =\"20117504\"]\n  1 -> 5 [size =\"20117504\"]\n  1 -> 6 [size =\"20117504\"]\n  2 [size=\"36997120\", alpha=\"0.15\", expect_size=\"18498560\"] \n  2 -> 3 [size =\"18498560\"]\n  2 -> 4 [size =\"18498560\"]\n  2 -> 5 [size =\"18498560\"]\n  3 [size=\"76404736\", alpha=\"0.07\", expect_size=\"38202368\"] \n  3 -> 7 [size =\"38202368\"]\n  3 -> 9 [size =\"38202368\"]\n  4 [size=\"96942080\", alpha=\"0.11\", expect_size=\"48471040\"] \n  4 -> 7 [size =\"48471040\"]\n  4 -> 8 [size =\"48471040\"]\n  4 -> 9 [size =\"48471040\"]\n  4 -> 10 [size =\"48471040\"]\n  5 [size=\"36079616\", alpha=\"0.17\", expect_size=\"18039808\"] \n  5 -> 7 [size =\"18039808\"]\n  6 [size=\"52967424\", alpha=\"0.06\", expect_size=\"26483712\"] \n  6 -> 7 [size =\"26483712\"]\n  6 -> 9 [size =\"26483712\"]\n  7 [size=\"26642432\", alpha=\"0.16\", expect_size=\"13321216\"] \n  8 [size=\"47558656\", alpha=\"0.15\", expect_size=\"23779328\"] \n  9 [size=\"20332544\", alpha=\"0.11\", expect_size=\"10166272\"] \n  10 [size=\"10973184\", alpha=\"0.09\", expect_size=\"5486592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123850240\", alpha=\"0.13\", expect_size=\"49540096\"] \n  1 -> 5 [size =\"49540096\"]\n  1 -> 6 [size =\"49540096\"]\n  2 [size=\"93949440\", alpha=\"0.17\", expect_size=\"37579776\"] \n  2 -> 5 [size =\"37579776\"]\n  2 -> 6 [size =\"37579776\"]\n  3 [size=\"62556160\", alpha=\"0.11\", expect_size=\"25022464\"] \n  3 -> 4 [size =\"25022464\"]\n  3 -> 5 [size =\"25022464\"]\n  3 -> 6 [size =\"25022464\"]\n  4 [size=\"127452160\", alpha=\"0.02\", expect_size=\"50980864\"] \n  4 -> 7 [size =\"50980864\"]\n  4 -> 8 [size =\"50980864\"]\n  5 [size=\"124157440\", alpha=\"0.11\", expect_size=\"49662976\"] \n  5 -> 7 [size =\"49662976\"]\n  6 [size=\"36451840\", alpha=\"0.17\", expect_size=\"14580736\"] \n  6 -> 7 [size =\"14580736\"]\n  7 [size=\"24327680\", alpha=\"0.04\", expect_size=\"9731072\"] \n  7 -> 10 [size =\"9731072\"]\n  8 [size=\"14827520\", alpha=\"0.18\", expect_size=\"5931008\"] \n  8 -> 9 [size =\"5931008\"]\n  8 -> 10 [size =\"5931008\"]\n  9 [size=\"109007360\", alpha=\"0.04\", expect_size=\"43602944\"] \n  10 [size=\"104727040\", alpha=\"0.07\", expect_size=\"41890816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99676160\", alpha=\"0.10\", expect_size=\"39870464\"] \n  1 -> 4 [size =\"39870464\"]\n  1 -> 5 [size =\"39870464\"]\n  2 [size=\"48552960\", alpha=\"0.08\", expect_size=\"19421184\"] \n  2 -> 4 [size =\"19421184\"]\n  2 -> 5 [size =\"19421184\"]\n  3 [size=\"17600000\", alpha=\"0.15\", expect_size=\"7040000\"] \n  3 -> 4 [size =\"7040000\"]\n  4 [size=\"18711040\", alpha=\"0.14\", expect_size=\"7484416\"] \n  4 -> 6 [size =\"7484416\"]\n  4 -> 7 [size =\"7484416\"]\n  4 -> 8 [size =\"7484416\"]\n  5 [size=\"90263040\", alpha=\"0.07\", expect_size=\"36105216\"] \n  5 -> 6 [size =\"36105216\"]\n  5 -> 7 [size =\"36105216\"]\n  6 [size=\"99540480\", alpha=\"0.16\", expect_size=\"39816192\"] \n  6 -> 9 [size =\"39816192\"]\n  6 -> 10 [size =\"39816192\"]\n  7 [size=\"38947840\", alpha=\"0.07\", expect_size=\"15579136\"] \n  7 -> 10 [size =\"15579136\"]\n  8 [size=\"108897280\", alpha=\"0.00\", expect_size=\"43558912\"] \n  8 -> 9 [size =\"43558912\"]\n  8 -> 10 [size =\"43558912\"]\n  9 [size=\"42869760\", alpha=\"0.15\", expect_size=\"17147904\"] \n  10 [size=\"109091840\", alpha=\"0.07\", expect_size=\"43636736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20620800\", alpha=\"0.01\", expect_size=\"8248320\"] \n  1 -> 2 [size =\"8248320\"]\n  2 [size=\"31823360\", alpha=\"0.03\", expect_size=\"12729344\"] \n  2 -> 3 [size =\"12729344\"]\n  3 [size=\"75151360\", alpha=\"0.05\", expect_size=\"30060544\"] \n  3 -> 4 [size =\"30060544\"]\n  4 [size=\"79912960\", alpha=\"0.18\", expect_size=\"31965184\"] \n  4 -> 5 [size =\"31965184\"]\n  5 [size=\"29155840\", alpha=\"0.07\", expect_size=\"11662336\"] \n  5 -> 6 [size =\"11662336\"]\n  6 [size=\"105559040\", alpha=\"0.08\", expect_size=\"42223616\"] \n  6 -> 7 [size =\"42223616\"]\n  7 [size=\"125460480\", alpha=\"0.10\", expect_size=\"50184192\"] \n  7 -> 8 [size =\"50184192\"]\n  8 [size=\"99560960\", alpha=\"0.14\", expect_size=\"39824384\"] \n  8 -> 9 [size =\"39824384\"]\n  9 [size=\"52930560\", alpha=\"0.05\", expect_size=\"21172224\"] \n  9 -> 10 [size =\"21172224\"]\n  10 [size=\"80747520\", alpha=\"0.14\", expect_size=\"32299008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81310720\", alpha=\"0.17\", expect_size=\"32524288\"] \n  1 -> 2 [size =\"32524288\"]\n  2 [size=\"102420480\", alpha=\"0.11\", expect_size=\"40968192\"] \n  2 -> 3 [size =\"40968192\"]\n  3 [size=\"58327040\", alpha=\"0.13\", expect_size=\"23330816\"] \n  3 -> 4 [size =\"23330816\"]\n  4 [size=\"117309440\", alpha=\"0.10\", expect_size=\"46923776\"] \n  4 -> 5 [size =\"46923776\"]\n  5 [size=\"76101120\", alpha=\"0.06\", expect_size=\"30440448\"] \n  5 -> 6 [size =\"30440448\"]\n  6 [size=\"99630080\", alpha=\"0.06\", expect_size=\"39852032\"] \n  6 -> 7 [size =\"39852032\"]\n  7 [size=\"87088640\", alpha=\"0.05\", expect_size=\"34835456\"] \n  7 -> 8 [size =\"34835456\"]\n  8 [size=\"86540800\", alpha=\"0.11\", expect_size=\"34616320\"] \n  8 -> 9 [size =\"34616320\"]\n  9 [size=\"56184320\", alpha=\"0.20\", expect_size=\"22473728\"] \n  9 -> 10 [size =\"22473728\"]\n  10 [size=\"50882560\", alpha=\"0.12\", expect_size=\"20353024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19529728\", alpha=\"0.03\", expect_size=\"9764864\"] \n  1 -> 2 [size =\"9764864\"]\n  2 [size=\"91543552\", alpha=\"0.09\", expect_size=\"45771776\"] \n  2 -> 3 [size =\"45771776\"]\n  3 [size=\"33536000\", alpha=\"0.10\", expect_size=\"16768000\"] \n  3 -> 4 [size =\"16768000\"]\n  4 [size=\"76920832\", alpha=\"0.02\", expect_size=\"38460416\"] \n  4 -> 5 [size =\"38460416\"]\n  5 [size=\"51603456\", alpha=\"0.15\", expect_size=\"25801728\"] \n  5 -> 6 [size =\"25801728\"]\n  6 [size=\"75319296\", alpha=\"0.04\", expect_size=\"37659648\"] \n  6 -> 7 [size =\"37659648\"]\n  7 [size=\"39340032\", alpha=\"0.09\", expect_size=\"19670016\"] \n  7 -> 8 [size =\"19670016\"]\n  8 [size=\"59193344\", alpha=\"0.17\", expect_size=\"29596672\"] \n  8 -> 9 [size =\"29596672\"]\n  9 [size=\"47941632\", alpha=\"0.15\", expect_size=\"23970816\"] \n  9 -> 10 [size =\"23970816\"]\n  10 [size=\"17235968\", alpha=\"0.19\", expect_size=\"8617984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30287872\", alpha=\"0.18\", expect_size=\"15143936\"] \n  1 -> 4 [size =\"15143936\"]\n  2 [size=\"26066944\", alpha=\"0.11\", expect_size=\"13033472\"] \n  2 -> 4 [size =\"13033472\"]\n  3 [size=\"21723136\", alpha=\"0.09\", expect_size=\"10861568\"] \n  3 -> 4 [size =\"10861568\"]\n  3 -> 5 [size =\"10861568\"]\n  4 [size=\"54644736\", alpha=\"0.08\", expect_size=\"27322368\"] \n  4 -> 7 [size =\"27322368\"]\n  4 -> 8 [size =\"27322368\"]\n  5 [size=\"21272576\", alpha=\"0.18\", expect_size=\"10636288\"] \n  5 -> 6 [size =\"10636288\"]\n  6 [size=\"61087744\", alpha=\"0.05\", expect_size=\"30543872\"] \n  6 -> 10 [size =\"30543872\"]\n  7 [size=\"90880000\", alpha=\"0.14\", expect_size=\"45440000\"] \n  8 [size=\"25450496\", alpha=\"0.02\", expect_size=\"12725248\"] \n  8 -> 9 [size =\"12725248\"]\n  9 [size=\"11106304\", alpha=\"0.04\", expect_size=\"5553152\"] \n  10 [size=\"98908160\", alpha=\"0.14\", expect_size=\"49454080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64798720\", alpha=\"0.12\", expect_size=\"32399360\"] \n  1 -> 3 [size =\"32399360\"]\n  2 [size=\"34283520\", alpha=\"0.04\", expect_size=\"17141760\"] \n  2 -> 4 [size =\"17141760\"]\n  2 -> 5 [size =\"17141760\"]\n  3 [size=\"23158784\", alpha=\"0.15\", expect_size=\"11579392\"] \n  3 -> 7 [size =\"11579392\"]\n  4 [size=\"16793600\", alpha=\"0.06\", expect_size=\"8396800\"] \n  4 -> 6 [size =\"8396800\"]\n  5 [size=\"55009280\", alpha=\"0.06\", expect_size=\"27504640\"] \n  6 [size=\"90974208\", alpha=\"0.17\", expect_size=\"45487104\"] \n  6 -> 8 [size =\"45487104\"]\n  6 -> 9 [size =\"45487104\"]\n  6 -> 10 [size =\"45487104\"]\n  7 [size=\"33984512\", alpha=\"0.03\", expect_size=\"16992256\"] \n  7 -> 10 [size =\"16992256\"]\n  8 [size=\"20574208\", alpha=\"0.09\", expect_size=\"10287104\"] \n  9 [size=\"74586112\", alpha=\"0.19\", expect_size=\"37293056\"] \n  10 [size=\"88236032\", alpha=\"0.01\", expect_size=\"44118016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25489408\", alpha=\"0.11\", expect_size=\"12744704\"] \n  1 -> 2 [size =\"12744704\"]\n  2 [size=\"27240448\", alpha=\"0.15\", expect_size=\"13620224\"] \n  2 -> 3 [size =\"13620224\"]\n  3 [size=\"90128384\", alpha=\"0.14\", expect_size=\"45064192\"] \n  3 -> 4 [size =\"45064192\"]\n  4 [size=\"75380736\", alpha=\"0.09\", expect_size=\"37690368\"] \n  4 -> 5 [size =\"37690368\"]\n  5 [size=\"73564160\", alpha=\"0.03\", expect_size=\"36782080\"] \n  5 -> 6 [size =\"36782080\"]\n  6 [size=\"18274304\", alpha=\"0.08\", expect_size=\"9137152\"] \n  6 -> 7 [size =\"9137152\"]\n  7 [size=\"46843904\", alpha=\"0.04\", expect_size=\"23421952\"] \n  7 -> 8 [size =\"23421952\"]\n  8 [size=\"81393664\", alpha=\"0.18\", expect_size=\"40696832\"] \n  8 -> 9 [size =\"40696832\"]\n  9 [size=\"63275008\", alpha=\"0.13\", expect_size=\"31637504\"] \n  9 -> 10 [size =\"31637504\"]\n  10 [size=\"48988160\", alpha=\"0.03\", expect_size=\"24494080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27092992\", alpha=\"0.07\", expect_size=\"13546496\"] \n  1 -> 2 [size =\"13546496\"]\n  2 [size=\"36784128\", alpha=\"0.13\", expect_size=\"18392064\"] \n  2 -> 3 [size =\"18392064\"]\n  3 [size=\"76931072\", alpha=\"0.11\", expect_size=\"38465536\"] \n  3 -> 4 [size =\"38465536\"]\n  4 [size=\"11188224\", alpha=\"0.01\", expect_size=\"5594112\"] \n  4 -> 5 [size =\"5594112\"]\n  5 [size=\"17004544\", alpha=\"0.12\", expect_size=\"8502272\"] \n  5 -> 6 [size =\"8502272\"]\n  6 [size=\"13768704\", alpha=\"0.05\", expect_size=\"6884352\"] \n  6 -> 7 [size =\"6884352\"]\n  7 [size=\"63543296\", alpha=\"0.08\", expect_size=\"31771648\"] \n  7 -> 8 [size =\"31771648\"]\n  8 [size=\"23961600\", alpha=\"0.04\", expect_size=\"11980800\"] \n  8 -> 9 [size =\"11980800\"]\n  9 [size=\"65990656\", alpha=\"0.08\", expect_size=\"32995328\"] \n  9 -> 10 [size =\"32995328\"]\n  10 [size=\"25139200\", alpha=\"0.01\", expect_size=\"12569600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75038720\", alpha=\"0.03\", expect_size=\"37519360\"] \n  1 -> 2 [size =\"37519360\"]\n  2 [size=\"45342720\", alpha=\"0.01\", expect_size=\"22671360\"] \n  2 -> 3 [size =\"22671360\"]\n  3 [size=\"62593024\", alpha=\"0.09\", expect_size=\"31296512\"] \n  3 -> 4 [size =\"31296512\"]\n  4 [size=\"87234560\", alpha=\"0.03\", expect_size=\"43617280\"] \n  4 -> 5 [size =\"43617280\"]\n  5 [size=\"53295104\", alpha=\"0.01\", expect_size=\"26647552\"] \n  5 -> 6 [size =\"26647552\"]\n  6 [size=\"54697984\", alpha=\"0.03\", expect_size=\"27348992\"] \n  6 -> 7 [size =\"27348992\"]\n  7 [size=\"78221312\", alpha=\"0.02\", expect_size=\"39110656\"] \n  7 -> 8 [size =\"39110656\"]\n  8 [size=\"11384832\", alpha=\"0.00\", expect_size=\"5692416\"] \n  8 -> 9 [size =\"5692416\"]\n  9 [size=\"66019328\", alpha=\"0.02\", expect_size=\"33009664\"] \n  9 -> 10 [size =\"33009664\"]\n  10 [size=\"45367296\", alpha=\"0.07\", expect_size=\"22683648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77002752\", alpha=\"0.19\", expect_size=\"38501376\"] \n  1 -> 2 [size =\"38501376\"]\n  2 [size=\"102500352\", alpha=\"0.09\", expect_size=\"51250176\"] \n  2 -> 3 [size =\"51250176\"]\n  3 [size=\"97095680\", alpha=\"0.06\", expect_size=\"48547840\"] \n  3 -> 4 [size =\"48547840\"]\n  4 [size=\"70858752\", alpha=\"0.05\", expect_size=\"35429376\"] \n  4 -> 5 [size =\"35429376\"]\n  5 [size=\"44697600\", alpha=\"0.10\", expect_size=\"22348800\"] \n  5 -> 6 [size =\"22348800\"]\n  6 [size=\"98349056\", alpha=\"0.11\", expect_size=\"49174528\"] \n  6 -> 7 [size =\"49174528\"]\n  7 [size=\"48947200\", alpha=\"0.07\", expect_size=\"24473600\"] \n  7 -> 8 [size =\"24473600\"]\n  8 [size=\"97038336\", alpha=\"0.07\", expect_size=\"48519168\"] \n  8 -> 9 [size =\"48519168\"]\n  9 [size=\"23478272\", alpha=\"0.08\", expect_size=\"11739136\"] \n  9 -> 10 [size =\"11739136\"]\n  10 [size=\"23953408\", alpha=\"0.06\", expect_size=\"11976704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94446933\", alpha=\"0.06\", expect_size=\"28334080\"] \n  1 -> 4 [size =\"28334080\"]\n  2 [size=\"86708907\", alpha=\"0.09\", expect_size=\"26012672\"] \n  3 [size=\"160822613\", alpha=\"0.12\", expect_size=\"48246784\"] \n  3 -> 4 [size =\"48246784\"]\n  4 [size=\"39990613\", alpha=\"0.16\", expect_size=\"11997184\"] \n  4 -> 5 [size =\"11997184\"]\n  4 -> 6 [size =\"11997184\"]\n  4 -> 7 [size =\"11997184\"]\n  5 [size=\"70283947\", alpha=\"0.01\", expect_size=\"21085184\"] \n  6 [size=\"139141120\", alpha=\"0.00\", expect_size=\"41742336\"] \n  7 [size=\"35085653\", alpha=\"0.10\", expect_size=\"10525696\"] \n  7 -> 8 [size =\"10525696\"]\n  8 [size=\"87715840\", alpha=\"0.10\", expect_size=\"26314752\"] \n  8 -> 9 [size =\"26314752\"]\n  8 -> 10 [size =\"26314752\"]\n  9 [size=\"112117760\", alpha=\"0.04\", expect_size=\"33635328\"] \n  10 [size=\"133515947\", alpha=\"0.07\", expect_size=\"40054784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38826667\", alpha=\"0.08\", expect_size=\"11648000\"] \n  2 [size=\"95146667\", alpha=\"0.14\", expect_size=\"28544000\"] \n  2 -> 7 [size =\"28544000\"]\n  2 -> 10 [size =\"28544000\"]\n  3 [size=\"91477333\", alpha=\"0.15\", expect_size=\"27443200\"] \n  3 -> 7 [size =\"27443200\"]\n  3 -> 8 [size =\"27443200\"]\n  3 -> 9 [size =\"27443200\"]\n  3 -> 10 [size =\"27443200\"]\n  4 [size=\"79424853\", alpha=\"0.12\", expect_size=\"23827456\"] \n  4 -> 8 [size =\"23827456\"]\n  4 -> 8 [size =\"23827456\"]\n  4 -> 9 [size =\"23827456\"]\n  4 -> 10 [size =\"23827456\"]\n  5 [size=\"73345707\", alpha=\"0.16\", expect_size=\"22003712\"] \n  5 -> 7 [size =\"22003712\"]\n  5 -> 8 [size =\"22003712\"]\n  5 -> 9 [size =\"22003712\"]\n  6 [size=\"44393813\", alpha=\"0.09\", expect_size=\"13318144\"] \n  6 -> 7 [size =\"13318144\"]\n  6 -> 8 [size =\"13318144\"]\n  6 -> 9 [size =\"13318144\"]\n  7 [size=\"79585280\", alpha=\"0.06\", expect_size=\"23875584\"] \n  8 [size=\"93364907\", alpha=\"0.18\", expect_size=\"28009472\"] \n  9 [size=\"152292693\", alpha=\"0.02\", expect_size=\"45687808\"] \n  10 [size=\"167639040\", alpha=\"0.07\", expect_size=\"50291712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80244736\", alpha=\"0.16\", expect_size=\"40122368\"] \n  1 -> 7 [size =\"40122368\"]\n  1 -> 8 [size =\"40122368\"]\n  1 -> 9 [size =\"40122368\"]\n  1 -> 10 [size =\"40122368\"]\n  2 [size=\"51361792\", alpha=\"0.06\", expect_size=\"25680896\"] \n  2 -> 7 [size =\"25680896\"]\n  2 -> 8 [size =\"25680896\"]\n  2 -> 9 [size =\"25680896\"]\n  2 -> 10 [size =\"25680896\"]\n  3 [size=\"17895424\", alpha=\"0.05\", expect_size=\"8947712\"] \n  3 -> 7 [size =\"8947712\"]\n  3 -> 9 [size =\"8947712\"]\n  3 -> 10 [size =\"8947712\"]\n  4 [size=\"77860864\", alpha=\"0.04\", expect_size=\"38930432\"] \n  4 -> 8 [size =\"38930432\"]\n  4 -> 10 [size =\"38930432\"]\n  4 -> 10 [size =\"38930432\"]\n  5 [size=\"41981952\", alpha=\"0.13\", expect_size=\"20990976\"] \n  5 -> 9 [size =\"20990976\"]\n  6 [size=\"28776448\", alpha=\"0.06\", expect_size=\"14388224\"] \n  6 -> 8 [size =\"14388224\"]\n  6 -> 9 [size =\"14388224\"]\n  7 [size=\"60719104\", alpha=\"0.13\", expect_size=\"30359552\"] \n  8 [size=\"30832640\", alpha=\"0.07\", expect_size=\"15416320\"] \n  9 [size=\"82712576\", alpha=\"0.05\", expect_size=\"41356288\"] \n  10 [size=\"64129024\", alpha=\"0.14\", expect_size=\"32064512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81903616\", alpha=\"0.17\", expect_size=\"40951808\"] \n  1 -> 2 [size =\"40951808\"]\n  2 [size=\"84099072\", alpha=\"0.04\", expect_size=\"42049536\"] \n  2 -> 3 [size =\"42049536\"]\n  3 [size=\"10573824\", alpha=\"0.09\", expect_size=\"5286912\"] \n  3 -> 4 [size =\"5286912\"]\n  4 [size=\"67424256\", alpha=\"0.02\", expect_size=\"33712128\"] \n  4 -> 5 [size =\"33712128\"]\n  5 [size=\"17170432\", alpha=\"0.07\", expect_size=\"8585216\"] \n  5 -> 6 [size =\"8585216\"]\n  6 [size=\"85690368\", alpha=\"0.04\", expect_size=\"42845184\"] \n  6 -> 7 [size =\"42845184\"]\n  7 [size=\"100235264\", alpha=\"0.00\", expect_size=\"50117632\"] \n  7 -> 8 [size =\"50117632\"]\n  8 [size=\"67921920\", alpha=\"0.17\", expect_size=\"33960960\"] \n  8 -> 9 [size =\"33960960\"]\n  9 [size=\"33796096\", alpha=\"0.05\", expect_size=\"16898048\"] \n  9 -> 10 [size =\"16898048\"]\n  10 [size=\"96815104\", alpha=\"0.18\", expect_size=\"48407552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20227413\", alpha=\"0.08\", expect_size=\"6068224\"] \n  1 -> 4 [size =\"6068224\"]\n  1 -> 5 [size =\"6068224\"]\n  2 [size=\"169990827\", alpha=\"0.01\", expect_size=\"50997248\"] \n  2 -> 3 [size =\"50997248\"]\n  3 [size=\"61897387\", alpha=\"0.03\", expect_size=\"18569216\"] \n  3 -> 7 [size =\"18569216\"]\n  4 [size=\"79042560\", alpha=\"0.13\", expect_size=\"23712768\"] \n  4 -> 6 [size =\"23712768\"]\n  5 [size=\"154835627\", alpha=\"0.17\", expect_size=\"46450688\"] \n  6 [size=\"164969813\", alpha=\"0.04\", expect_size=\"49490944\"] \n  6 -> 10 [size =\"49490944\"]\n  7 [size=\"173035520\", alpha=\"0.17\", expect_size=\"51910656\"] \n  7 -> 8 [size =\"51910656\"]\n  7 -> 9 [size =\"51910656\"]\n  8 [size=\"138618880\", alpha=\"0.02\", expect_size=\"41585664\"] \n  9 [size=\"41594880\", alpha=\"0.06\", expect_size=\"12478464\"] \n  10 [size=\"100945920\", alpha=\"0.15\", expect_size=\"30283776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163450880\", alpha=\"0.15\", expect_size=\"49035264\"] \n  1 -> 4 [size =\"49035264\"]\n  1 -> 5 [size =\"49035264\"]\n  1 -> 6 [size =\"49035264\"]\n  1 -> 7 [size =\"49035264\"]\n  2 [size=\"36809387\", alpha=\"0.08\", expect_size=\"11042816\"] \n  2 -> 5 [size =\"11042816\"]\n  2 -> 6 [size =\"11042816\"]\n  3 [size=\"57135787\", alpha=\"0.14\", expect_size=\"17140736\"] \n  3 -> 4 [size =\"17140736\"]\n  3 -> 5 [size =\"17140736\"]\n  3 -> 6 [size =\"17140736\"]\n  4 [size=\"170274133\", alpha=\"0.16\", expect_size=\"51082240\"] \n  4 -> 9 [size =\"51082240\"]\n  4 -> 10 [size =\"51082240\"]\n  5 [size=\"108598613\", alpha=\"0.06\", expect_size=\"32579584\"] \n  5 -> 8 [size =\"32579584\"]\n  5 -> 10 [size =\"32579584\"]\n  6 [size=\"60030293\", alpha=\"0.10\", expect_size=\"18009088\"] \n  6 -> 10 [size =\"18009088\"]\n  7 [size=\"68935680\", alpha=\"0.09\", expect_size=\"20680704\"] \n  7 -> 9 [size =\"20680704\"]\n  8 [size=\"67109547\", alpha=\"0.01\", expect_size=\"20132864\"] \n  9 [size=\"19138560\", alpha=\"0.10\", expect_size=\"5741568\"] \n  10 [size=\"22845440\", alpha=\"0.16\", expect_size=\"6853632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41351168\", alpha=\"0.05\", expect_size=\"20675584\"] \n  1 -> 2 [size =\"20675584\"]\n  2 [size=\"20518912\", alpha=\"0.10\", expect_size=\"10259456\"] \n  2 -> 3 [size =\"10259456\"]\n  3 [size=\"20748288\", alpha=\"0.13\", expect_size=\"10374144\"] \n  3 -> 4 [size =\"10374144\"]\n  4 [size=\"19494912\", alpha=\"0.09\", expect_size=\"9747456\"] \n  4 -> 5 [size =\"9747456\"]\n  5 [size=\"87134208\", alpha=\"0.05\", expect_size=\"43567104\"] \n  5 -> 6 [size =\"43567104\"]\n  6 [size=\"29462528\", alpha=\"0.18\", expect_size=\"14731264\"] \n  6 -> 7 [size =\"14731264\"]\n  7 [size=\"61353984\", alpha=\"0.05\", expect_size=\"30676992\"] \n  7 -> 8 [size =\"30676992\"]\n  8 [size=\"43700224\", alpha=\"0.08\", expect_size=\"21850112\"] \n  8 -> 9 [size =\"21850112\"]\n  9 [size=\"49833984\", alpha=\"0.02\", expect_size=\"24916992\"] \n  9 -> 10 [size =\"24916992\"]\n  10 [size=\"82010112\", alpha=\"0.13\", expect_size=\"41005056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150712320\", alpha=\"0.12\", expect_size=\"45213696\"] \n  1 -> 2 [size =\"45213696\"]\n  2 [size=\"50780160\", alpha=\"0.18\", expect_size=\"15234048\"] \n  2 -> 3 [size =\"15234048\"]\n  3 [size=\"170806613\", alpha=\"0.11\", expect_size=\"51241984\"] \n  3 -> 4 [size =\"51241984\"]\n  4 [size=\"162710187\", alpha=\"0.01\", expect_size=\"48813056\"] \n  4 -> 5 [size =\"48813056\"]\n  5 [size=\"52664320\", alpha=\"0.05\", expect_size=\"15799296\"] \n  5 -> 6 [size =\"15799296\"]\n  6 [size=\"122487467\", alpha=\"0.16\", expect_size=\"36746240\"] \n  6 -> 7 [size =\"36746240\"]\n  7 [size=\"133007360\", alpha=\"0.20\", expect_size=\"39902208\"] \n  7 -> 8 [size =\"39902208\"]\n  8 [size=\"59494400\", alpha=\"0.15\", expect_size=\"17848320\"] \n  8 -> 9 [size =\"17848320\"]\n  9 [size=\"170963627\", alpha=\"0.18\", expect_size=\"51289088\"] \n  9 -> 10 [size =\"51289088\"]\n  10 [size=\"24227840\", alpha=\"0.11\", expect_size=\"7268352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114936320\", alpha=\"0.08\", expect_size=\"45974528\"] \n  1 -> 2 [size =\"45974528\"]\n  2 [size=\"49879040\", alpha=\"0.17\", expect_size=\"19951616\"] \n  2 -> 3 [size =\"19951616\"]\n  3 [size=\"52454400\", alpha=\"0.08\", expect_size=\"20981760\"] \n  3 -> 4 [size =\"20981760\"]\n  4 [size=\"100569600\", alpha=\"0.13\", expect_size=\"40227840\"] \n  4 -> 5 [size =\"40227840\"]\n  5 [size=\"27543040\", alpha=\"0.04\", expect_size=\"11017216\"] \n  5 -> 6 [size =\"11017216\"]\n  6 [size=\"85975040\", alpha=\"0.14\", expect_size=\"34390016\"] \n  6 -> 7 [size =\"34390016\"]\n  7 [size=\"120355840\", alpha=\"0.14\", expect_size=\"48142336\"] \n  7 -> 8 [size =\"48142336\"]\n  8 [size=\"31546880\", alpha=\"0.02\", expect_size=\"12618752\"] \n  8 -> 9 [size =\"12618752\"]\n  9 [size=\"13419520\", alpha=\"0.04\", expect_size=\"5367808\"] \n  9 -> 10 [size =\"5367808\"]\n  10 [size=\"47175680\", alpha=\"0.19\", expect_size=\"18870272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58964480\", alpha=\"0.04\", expect_size=\"23585792\"] \n  1 -> 2 [size =\"23585792\"]\n  2 [size=\"122007040\", alpha=\"0.05\", expect_size=\"48802816\"] \n  2 -> 3 [size =\"48802816\"]\n  3 [size=\"37440000\", alpha=\"0.06\", expect_size=\"14976000\"] \n  3 -> 4 [size =\"14976000\"]\n  4 [size=\"22136320\", alpha=\"0.15\", expect_size=\"8854528\"] \n  4 -> 5 [size =\"8854528\"]\n  5 [size=\"18032640\", alpha=\"0.03\", expect_size=\"7213056\"] \n  5 -> 6 [size =\"7213056\"]\n  6 [size=\"24056320\", alpha=\"0.12\", expect_size=\"9622528\"] \n  6 -> 7 [size =\"9622528\"]\n  7 [size=\"26557440\", alpha=\"0.10\", expect_size=\"10622976\"] \n  7 -> 8 [size =\"10622976\"]\n  8 [size=\"22755840\", alpha=\"0.19\", expect_size=\"9102336\"] \n  8 -> 9 [size =\"9102336\"]\n  9 [size=\"21716480\", alpha=\"0.20\", expect_size=\"8686592\"] \n  9 -> 10 [size =\"8686592\"]\n  10 [size=\"23334400\", alpha=\"0.17\", expect_size=\"9333760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109240320\", alpha=\"0.05\", expect_size=\"32772096\"] \n  1 -> 7 [size =\"32772096\"]\n  1 -> 10 [size =\"32772096\"]\n  2 [size=\"91200853\", alpha=\"0.10\", expect_size=\"27360256\"] \n  2 -> 6 [size =\"27360256\"]\n  3 [size=\"91330560\", alpha=\"0.18\", expect_size=\"27399168\"] \n  3 -> 9 [size =\"27399168\"]\n  4 [size=\"65989973\", alpha=\"0.00\", expect_size=\"19796992\"] \n  4 -> 6 [size =\"19796992\"]\n  4 -> 8 [size =\"19796992\"]\n  5 [size=\"128331093\", alpha=\"0.11\", expect_size=\"38499328\"] \n  5 -> 7 [size =\"38499328\"]\n  5 -> 8 [size =\"38499328\"]\n  6 [size=\"84944213\", alpha=\"0.18\", expect_size=\"25483264\"] \n  7 [size=\"48735573\", alpha=\"0.19\", expect_size=\"14620672\"] \n  8 [size=\"43332267\", alpha=\"0.01\", expect_size=\"12999680\"] \n  9 [size=\"117367467\", alpha=\"0.15\", expect_size=\"35210240\"] \n  10 [size=\"34218667\", alpha=\"0.19\", expect_size=\"10265600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51032064\", alpha=\"0.17\", expect_size=\"25516032\"] \n  1 -> 3 [size =\"25516032\"]\n  2 [size=\"15165440\", alpha=\"0.19\", expect_size=\"7582720\"] \n  2 -> 4 [size =\"7582720\"]\n  3 [size=\"32516096\", alpha=\"0.04\", expect_size=\"16258048\"] \n  3 -> 6 [size =\"16258048\"]\n  4 [size=\"69412864\", alpha=\"0.14\", expect_size=\"34706432\"] \n  4 -> 5 [size =\"34706432\"]\n  5 [size=\"44658688\", alpha=\"0.07\", expect_size=\"22329344\"] \n  5 -> 7 [size =\"22329344\"]\n  5 -> 8 [size =\"22329344\"]\n  5 -> 9 [size =\"22329344\"]\n  6 [size=\"49731584\", alpha=\"0.08\", expect_size=\"24865792\"] \n  7 [size=\"90847232\", alpha=\"0.09\", expect_size=\"45423616\"] \n  7 -> 10 [size =\"45423616\"]\n  8 [size=\"91944960\", alpha=\"0.04\", expect_size=\"45972480\"] \n  9 [size=\"31825920\", alpha=\"0.12\", expect_size=\"15912960\"] \n  9 -> 10 [size =\"15912960\"]\n  10 [size=\"75407360\", alpha=\"0.08\", expect_size=\"37703680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28940288\", alpha=\"0.02\", expect_size=\"14470144\"] \n  1 -> 8 [size =\"14470144\"]\n  2 [size=\"97161216\", alpha=\"0.12\", expect_size=\"48580608\"] \n  2 -> 9 [size =\"48580608\"]\n  3 [size=\"18982912\", alpha=\"0.19\", expect_size=\"9491456\"] \n  3 -> 10 [size =\"9491456\"]\n  4 [size=\"71206912\", alpha=\"0.03\", expect_size=\"35603456\"] \n  5 [size=\"76656640\", alpha=\"0.19\", expect_size=\"38328320\"] \n  5 -> 9 [size =\"38328320\"]\n  6 [size=\"102307840\", alpha=\"0.04\", expect_size=\"51153920\"] \n  6 -> 9 [size =\"51153920\"]\n  6 -> 10 [size =\"51153920\"]\n  7 [size=\"44613632\", alpha=\"0.07\", expect_size=\"22306816\"] \n  7 -> 10 [size =\"22306816\"]\n  8 [size=\"98060288\", alpha=\"0.00\", expect_size=\"49030144\"] \n  9 [size=\"65189888\", alpha=\"0.20\", expect_size=\"32594944\"] \n  10 [size=\"82540544\", alpha=\"0.18\", expect_size=\"41270272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98465792\", alpha=\"0.02\", expect_size=\"49232896\"] \n  1 -> 2 [size =\"49232896\"]\n  2 [size=\"78223360\", alpha=\"0.10\", expect_size=\"39111680\"] \n  2 -> 3 [size =\"39111680\"]\n  3 [size=\"83773440\", alpha=\"0.09\", expect_size=\"41886720\"] \n  3 -> 4 [size =\"41886720\"]\n  4 [size=\"12781568\", alpha=\"0.11\", expect_size=\"6390784\"] \n  4 -> 5 [size =\"6390784\"]\n  5 [size=\"79441920\", alpha=\"0.00\", expect_size=\"39720960\"] \n  5 -> 6 [size =\"39720960\"]\n  6 [size=\"51544064\", alpha=\"0.14\", expect_size=\"25772032\"] \n  6 -> 7 [size =\"25772032\"]\n  7 [size=\"22644736\", alpha=\"0.13\", expect_size=\"11322368\"] \n  7 -> 8 [size =\"11322368\"]\n  8 [size=\"80195584\", alpha=\"0.18\", expect_size=\"40097792\"] \n  8 -> 9 [size =\"40097792\"]\n  9 [size=\"70950912\", alpha=\"0.05\", expect_size=\"35475456\"] \n  9 -> 10 [size =\"35475456\"]\n  10 [size=\"86833152\", alpha=\"0.19\", expect_size=\"43416576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95318016\", alpha=\"0.17\", expect_size=\"47659008\"] \n  1 -> 6 [size =\"47659008\"]\n  1 -> 9 [size =\"47659008\"]\n  1 -> 10 [size =\"47659008\"]\n  2 [size=\"85317632\", alpha=\"0.16\", expect_size=\"42658816\"] \n  2 -> 6 [size =\"42658816\"]\n  2 -> 8 [size =\"42658816\"]\n  2 -> 9 [size =\"42658816\"]\n  2 -> 10 [size =\"42658816\"]\n  3 [size=\"86106112\", alpha=\"0.19\", expect_size=\"43053056\"] \n  3 -> 6 [size =\"43053056\"]\n  3 -> 7 [size =\"43053056\"]\n  3 -> 8 [size =\"43053056\"]\n  3 -> 9 [size =\"43053056\"]\n  3 -> 10 [size =\"43053056\"]\n  4 [size=\"36724736\", alpha=\"0.16\", expect_size=\"18362368\"] \n  4 -> 6 [size =\"18362368\"]\n  4 -> 9 [size =\"18362368\"]\n  4 -> 10 [size =\"18362368\"]\n  5 [size=\"71999488\", alpha=\"0.03\", expect_size=\"35999744\"] \n  5 -> 6 [size =\"35999744\"]\n  5 -> 7 [size =\"35999744\"]\n  5 -> 10 [size =\"35999744\"]\n  6 [size=\"58703872\", alpha=\"0.17\", expect_size=\"29351936\"] \n  7 [size=\"69746688\", alpha=\"0.03\", expect_size=\"34873344\"] \n  8 [size=\"93958144\", alpha=\"0.08\", expect_size=\"46979072\"] \n  9 [size=\"94007296\", alpha=\"0.06\", expect_size=\"47003648\"] \n  10 [size=\"102811648\", alpha=\"0.03\", expect_size=\"51405824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34654720\", alpha=\"0.05\", expect_size=\"13861888\"] \n  1 -> 4 [size =\"13861888\"]\n  2 [size=\"26393600\", alpha=\"0.18\", expect_size=\"10557440\"] \n  2 -> 5 [size =\"10557440\"]\n  2 -> 7 [size =\"10557440\"]\n  2 -> 8 [size =\"10557440\"]\n  3 [size=\"44503040\", alpha=\"0.02\", expect_size=\"17801216\"] \n  3 -> 6 [size =\"17801216\"]\n  3 -> 8 [size =\"17801216\"]\n  4 [size=\"93703680\", alpha=\"0.13\", expect_size=\"37481472\"] \n  5 [size=\"112079360\", alpha=\"0.11\", expect_size=\"44831744\"] \n  5 -> 10 [size =\"44831744\"]\n  6 [size=\"99584000\", alpha=\"0.15\", expect_size=\"39833600\"] \n  6 -> 9 [size =\"39833600\"]\n  7 [size=\"105792000\", alpha=\"0.12\", expect_size=\"42316800\"] \n  8 [size=\"63577600\", alpha=\"0.16\", expect_size=\"25431040\"] \n  9 [size=\"72732160\", alpha=\"0.12\", expect_size=\"29092864\"] \n  10 [size=\"24161280\", alpha=\"0.17\", expect_size=\"9664512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124211200\", alpha=\"0.09\", expect_size=\"37263360\"] \n  1 -> 3 [size =\"37263360\"]\n  2 [size=\"21609813\", alpha=\"0.10\", expect_size=\"6482944\"] \n  2 -> 3 [size =\"6482944\"]\n  3 [size=\"85015893\", alpha=\"0.01\", expect_size=\"25504768\"] \n  3 -> 4 [size =\"25504768\"]\n  3 -> 5 [size =\"25504768\"]\n  3 -> 6 [size =\"25504768\"]\n  4 [size=\"36823040\", alpha=\"0.07\", expect_size=\"11046912\"] \n  4 -> 7 [size =\"11046912\"]\n  4 -> 8 [size =\"11046912\"]\n  5 [size=\"29105493\", alpha=\"0.10\", expect_size=\"8731648\"] \n  5 -> 7 [size =\"8731648\"]\n  5 -> 8 [size =\"8731648\"]\n  6 [size=\"162928640\", alpha=\"0.19\", expect_size=\"48878592\"] \n  7 [size=\"76939947\", alpha=\"0.16\", expect_size=\"23081984\"] \n  7 -> 9 [size =\"23081984\"]\n  8 [size=\"133116587\", alpha=\"0.14\", expect_size=\"39934976\"] \n  8 -> 10 [size =\"39934976\"]\n  9 [size=\"56360960\", alpha=\"0.19\", expect_size=\"16908288\"] \n  10 [size=\"66792107\", alpha=\"0.06\", expect_size=\"20037632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78008320\", alpha=\"0.19\", expect_size=\"39004160\"] \n  1 -> 7 [size =\"39004160\"]\n  2 [size=\"21700608\", alpha=\"0.11\", expect_size=\"10850304\"] \n  2 -> 7 [size =\"10850304\"]\n  2 -> 8 [size =\"10850304\"]\n  2 -> 10 [size =\"10850304\"]\n  3 [size=\"23279616\", alpha=\"0.10\", expect_size=\"11639808\"] \n  3 -> 10 [size =\"11639808\"]\n  4 [size=\"34191360\", alpha=\"0.13\", expect_size=\"17095680\"] \n  4 -> 9 [size =\"17095680\"]\n  5 [size=\"20283392\", alpha=\"0.15\", expect_size=\"10141696\"] \n  5 -> 10 [size =\"10141696\"]\n  6 [size=\"67072000\", alpha=\"0.16\", expect_size=\"33536000\"] \n  6 -> 7 [size =\"33536000\"]\n  6 -> 9 [size =\"33536000\"]\n  7 [size=\"63907840\", alpha=\"0.07\", expect_size=\"31953920\"] \n  8 [size=\"68644864\", alpha=\"0.06\", expect_size=\"34322432\"] \n  9 [size=\"24637440\", alpha=\"0.18\", expect_size=\"12318720\"] \n  10 [size=\"92514304\", alpha=\"0.07\", expect_size=\"46257152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146309120\", alpha=\"0.16\", expect_size=\"43892736\"] \n  1 -> 5 [size =\"43892736\"]\n  1 -> 6 [size =\"43892736\"]\n  1 -> 10 [size =\"43892736\"]\n  2 [size=\"105328640\", alpha=\"0.13\", expect_size=\"31598592\"] \n  2 -> 7 [size =\"31598592\"]\n  2 -> 8 [size =\"31598592\"]\n  3 [size=\"55913813\", alpha=\"0.01\", expect_size=\"16774144\"] \n  3 -> 5 [size =\"16774144\"]\n  3 -> 6 [size =\"16774144\"]\n  3 -> 7 [size =\"16774144\"]\n  3 -> 9 [size =\"16774144\"]\n  3 -> 10 [size =\"16774144\"]\n  4 [size=\"107530240\", alpha=\"0.05\", expect_size=\"32259072\"] \n  4 -> 8 [size =\"32259072\"]\n  4 -> 10 [size =\"32259072\"]\n  5 [size=\"109380267\", alpha=\"0.02\", expect_size=\"32814080\"] \n  6 [size=\"115797333\", alpha=\"0.13\", expect_size=\"34739200\"] \n  7 [size=\"50100907\", alpha=\"0.15\", expect_size=\"15030272\"] \n  8 [size=\"73270613\", alpha=\"0.15\", expect_size=\"21981184\"] \n  9 [size=\"106383360\", alpha=\"0.01\", expect_size=\"31915008\"] \n  10 [size=\"173530453\", alpha=\"0.05\", expect_size=\"52059136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63147520\", alpha=\"0.13\", expect_size=\"25259008\"] \n  2 [size=\"72089600\", alpha=\"0.05\", expect_size=\"28835840\"] \n  2 -> 10 [size =\"28835840\"]\n  3 [size=\"113989120\", alpha=\"0.01\", expect_size=\"45595648\"] \n  4 [size=\"118830080\", alpha=\"0.07\", expect_size=\"47532032\"] \n  4 -> 10 [size =\"47532032\"]\n  5 [size=\"21071360\", alpha=\"0.09\", expect_size=\"8428544\"] \n  6 [size=\"31249920\", alpha=\"0.09\", expect_size=\"12499968\"] \n  7 [size=\"113671680\", alpha=\"0.03\", expect_size=\"45468672\"] \n  8 [size=\"83601920\", alpha=\"0.14\", expect_size=\"33440768\"] \n  8 -> 10 [size =\"33440768\"]\n  9 [size=\"70410240\", alpha=\"0.05\", expect_size=\"28164096\"] \n  9 -> 10 [size =\"28164096\"]\n  10 [size=\"27412480\", alpha=\"0.03\", expect_size=\"10964992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21493760\", alpha=\"0.14\", expect_size=\"8597504\"] \n  1 -> 2 [size =\"8597504\"]\n  2 [size=\"125209600\", alpha=\"0.19\", expect_size=\"50083840\"] \n  2 -> 3 [size =\"50083840\"]\n  3 [size=\"110855680\", alpha=\"0.14\", expect_size=\"44342272\"] \n  3 -> 4 [size =\"44342272\"]\n  4 [size=\"48724480\", alpha=\"0.17\", expect_size=\"19489792\"] \n  4 -> 5 [size =\"19489792\"]\n  5 [size=\"23093760\", alpha=\"0.05\", expect_size=\"9237504\"] \n  5 -> 6 [size =\"9237504\"]\n  6 [size=\"91340800\", alpha=\"0.20\", expect_size=\"36536320\"] \n  6 -> 7 [size =\"36536320\"]\n  7 [size=\"124684800\", alpha=\"0.16\", expect_size=\"49873920\"] \n  7 -> 8 [size =\"49873920\"]\n  8 [size=\"81182720\", alpha=\"0.16\", expect_size=\"32473088\"] \n  8 -> 9 [size =\"32473088\"]\n  9 [size=\"127006720\", alpha=\"0.15\", expect_size=\"50802688\"] \n  9 -> 10 [size =\"50802688\"]\n  10 [size=\"35975680\", alpha=\"0.15\", expect_size=\"14390272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118118400\", alpha=\"0.08\", expect_size=\"47247360\"] \n  1 -> 4 [size =\"47247360\"]\n  2 [size=\"82158080\", alpha=\"0.12\", expect_size=\"32863232\"] \n  2 -> 3 [size =\"32863232\"]\n  3 [size=\"19422720\", alpha=\"0.01\", expect_size=\"7769088\"] \n  3 -> 5 [size =\"7769088\"]\n  3 -> 6 [size =\"7769088\"]\n  4 [size=\"18462720\", alpha=\"0.14\", expect_size=\"7385088\"] \n  4 -> 5 [size =\"7385088\"]\n  4 -> 6 [size =\"7385088\"]\n  5 [size=\"98562560\", alpha=\"0.13\", expect_size=\"39425024\"] \n  5 -> 7 [size =\"39425024\"]\n  5 -> 8 [size =\"39425024\"]\n  5 -> 9 [size =\"39425024\"]\n  6 [size=\"90718720\", alpha=\"0.10\", expect_size=\"36287488\"] \n  6 -> 7 [size =\"36287488\"]\n  6 -> 8 [size =\"36287488\"]\n  6 -> 9 [size =\"36287488\"]\n  7 [size=\"25006080\", alpha=\"0.03\", expect_size=\"10002432\"] \n  7 -> 10 [size =\"10002432\"]\n  8 [size=\"113013760\", alpha=\"0.03\", expect_size=\"45205504\"] \n  8 -> 10 [size =\"45205504\"]\n  9 [size=\"60590080\", alpha=\"0.10\", expect_size=\"24236032\"] \n  10 [size=\"84236800\", alpha=\"0.00\", expect_size=\"33694720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39737344\", alpha=\"0.03\", expect_size=\"19868672\"] \n  1 -> 2 [size =\"19868672\"]\n  1 -> 3 [size =\"19868672\"]\n  2 [size=\"45975552\", alpha=\"0.11\", expect_size=\"22987776\"] \n  2 -> 4 [size =\"22987776\"]\n  3 [size=\"100601856\", alpha=\"0.02\", expect_size=\"50300928\"] \n  4 [size=\"92481536\", alpha=\"0.08\", expect_size=\"46240768\"] \n  4 -> 5 [size =\"46240768\"]\n  4 -> 6 [size =\"46240768\"]\n  4 -> 7 [size =\"46240768\"]\n  4 -> 8 [size =\"46240768\"]\n  5 [size=\"80742400\", alpha=\"0.01\", expect_size=\"40371200\"] \n  6 [size=\"26955776\", alpha=\"0.02\", expect_size=\"13477888\"] \n  6 -> 9 [size =\"13477888\"]\n  7 [size=\"18771968\", alpha=\"0.06\", expect_size=\"9385984\"] \n  8 [size=\"17397760\", alpha=\"0.17\", expect_size=\"8698880\"] \n  9 [size=\"95854592\", alpha=\"0.03\", expect_size=\"47927296\"] \n  9 -> 10 [size =\"47927296\"]\n  10 [size=\"97202176\", alpha=\"0.04\", expect_size=\"48601088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36720640\", alpha=\"0.03\", expect_size=\"18360320\"] \n  1 -> 6 [size =\"18360320\"]\n  2 [size=\"10934272\", alpha=\"0.09\", expect_size=\"5467136\"] \n  2 -> 4 [size =\"5467136\"]\n  2 -> 5 [size =\"5467136\"]\n  3 [size=\"68007936\", alpha=\"0.06\", expect_size=\"34003968\"] \n  3 -> 4 [size =\"34003968\"]\n  3 -> 6 [size =\"34003968\"]\n  4 [size=\"25411584\", alpha=\"0.16\", expect_size=\"12705792\"] \n  4 -> 9 [size =\"12705792\"]\n  5 [size=\"62957568\", alpha=\"0.09\", expect_size=\"31478784\"] \n  5 -> 7 [size =\"31478784\"]\n  5 -> 9 [size =\"31478784\"]\n  6 [size=\"100186112\", alpha=\"0.01\", expect_size=\"50093056\"] \n  6 -> 7 [size =\"50093056\"]\n  6 -> 8 [size =\"50093056\"]\n  7 [size=\"95176704\", alpha=\"0.13\", expect_size=\"47588352\"] \n  7 -> 10 [size =\"47588352\"]\n  8 [size=\"65429504\", alpha=\"0.05\", expect_size=\"32714752\"] \n  9 [size=\"40497152\", alpha=\"0.05\", expect_size=\"20248576\"] \n  9 -> 10 [size =\"20248576\"]\n  10 [size=\"93806592\", alpha=\"0.20\", expect_size=\"46903296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44277760\", alpha=\"0.12\", expect_size=\"17711104\"] \n  1 -> 4 [size =\"17711104\"]\n  1 -> 5 [size =\"17711104\"]\n  2 [size=\"48069120\", alpha=\"0.12\", expect_size=\"19227648\"] \n  3 [size=\"94289920\", alpha=\"0.05\", expect_size=\"37715968\"] \n  4 [size=\"71685120\", alpha=\"0.08\", expect_size=\"28674048\"] \n  4 -> 7 [size =\"28674048\"]\n  5 [size=\"103173120\", alpha=\"0.15\", expect_size=\"41269248\"] \n  5 -> 6 [size =\"41269248\"]\n  6 [size=\"122355200\", alpha=\"0.16\", expect_size=\"48942080\"] \n  6 -> 8 [size =\"48942080\"]\n  6 -> 9 [size =\"48942080\"]\n  7 [size=\"20218880\", alpha=\"0.10\", expect_size=\"8087552\"] \n  7 -> 9 [size =\"8087552\"]\n  8 [size=\"90534400\", alpha=\"0.20\", expect_size=\"36213760\"] \n  9 [size=\"27604480\", alpha=\"0.15\", expect_size=\"11041792\"] \n  9 -> 10 [size =\"11041792\"]\n  10 [size=\"68462080\", alpha=\"0.01\", expect_size=\"27384832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89853440\", alpha=\"0.18\", expect_size=\"35941376\"] \n  1 -> 2 [size =\"35941376\"]\n  2 [size=\"115601920\", alpha=\"0.02\", expect_size=\"46240768\"] \n  2 -> 3 [size =\"46240768\"]\n  3 [size=\"105889280\", alpha=\"0.14\", expect_size=\"42355712\"] \n  3 -> 4 [size =\"42355712\"]\n  4 [size=\"25195520\", alpha=\"0.06\", expect_size=\"10078208\"] \n  4 -> 5 [size =\"10078208\"]\n  5 [size=\"97313280\", alpha=\"0.12\", expect_size=\"38925312\"] \n  5 -> 6 [size =\"38925312\"]\n  6 [size=\"13716480\", alpha=\"0.01\", expect_size=\"5486592\"] \n  6 -> 7 [size =\"5486592\"]\n  7 [size=\"95027200\", alpha=\"0.04\", expect_size=\"38010880\"] \n  7 -> 8 [size =\"38010880\"]\n  8 [size=\"35916800\", alpha=\"0.13\", expect_size=\"14366720\"] \n  8 -> 9 [size =\"14366720\"]\n  9 [size=\"30010880\", alpha=\"0.08\", expect_size=\"12004352\"] \n  9 -> 10 [size =\"12004352\"]\n  10 [size=\"102809600\", alpha=\"0.16\", expect_size=\"41123840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23229440\", alpha=\"0.03\", expect_size=\"9291776\"] \n  1 -> 8 [size =\"9291776\"]\n  2 [size=\"52510720\", alpha=\"0.00\", expect_size=\"21004288\"] \n  3 [size=\"126423040\", alpha=\"0.17\", expect_size=\"50569216\"] \n  3 -> 7 [size =\"50569216\"]\n  3 -> 9 [size =\"50569216\"]\n  4 [size=\"96926720\", alpha=\"0.09\", expect_size=\"38770688\"] \n  4 -> 6 [size =\"38770688\"]\n  4 -> 7 [size =\"38770688\"]\n  4 -> 8 [size =\"38770688\"]\n  4 -> 9 [size =\"38770688\"]\n  5 [size=\"17008640\", alpha=\"0.17\", expect_size=\"6803456\"] \n  6 [size=\"24898560\", alpha=\"0.14\", expect_size=\"9959424\"] \n  7 [size=\"57226240\", alpha=\"0.01\", expect_size=\"22890496\"] \n  8 [size=\"75010560\", alpha=\"0.10\", expect_size=\"30004224\"] \n  8 -> 10 [size =\"30004224\"]\n  9 [size=\"62873600\", alpha=\"0.18\", expect_size=\"25149440\"] \n  9 -> 10 [size =\"25149440\"]\n  10 [size=\"62912000\", alpha=\"0.18\", expect_size=\"25164800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92408320\", alpha=\"0.10\", expect_size=\"36963328\"] \n  1 -> 2 [size =\"36963328\"]\n  2 [size=\"19816960\", alpha=\"0.19\", expect_size=\"7926784\"] \n  2 -> 3 [size =\"7926784\"]\n  3 [size=\"129968640\", alpha=\"0.10\", expect_size=\"51987456\"] \n  3 -> 4 [size =\"51987456\"]\n  4 [size=\"98493440\", alpha=\"0.20\", expect_size=\"39397376\"] \n  4 -> 5 [size =\"39397376\"]\n  5 [size=\"71482880\", alpha=\"0.10\", expect_size=\"28593152\"] \n  5 -> 6 [size =\"28593152\"]\n  6 [size=\"58795520\", alpha=\"0.06\", expect_size=\"23518208\"] \n  6 -> 7 [size =\"23518208\"]\n  7 [size=\"15923200\", alpha=\"0.03\", expect_size=\"6369280\"] \n  7 -> 8 [size =\"6369280\"]\n  8 [size=\"125148160\", alpha=\"0.16\", expect_size=\"50059264\"] \n  8 -> 9 [size =\"50059264\"]\n  9 [size=\"92456960\", alpha=\"0.18\", expect_size=\"36982784\"] \n  9 -> 10 [size =\"36982784\"]\n  10 [size=\"39672320\", alpha=\"0.00\", expect_size=\"15868928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75741184\", alpha=\"0.06\", expect_size=\"37870592\"] \n  1 -> 2 [size =\"37870592\"]\n  2 [size=\"25640960\", alpha=\"0.07\", expect_size=\"12820480\"] \n  2 -> 3 [size =\"12820480\"]\n  3 [size=\"43874304\", alpha=\"0.07\", expect_size=\"21937152\"] \n  3 -> 4 [size =\"21937152\"]\n  4 [size=\"62121984\", alpha=\"0.12\", expect_size=\"31060992\"] \n  4 -> 5 [size =\"31060992\"]\n  5 [size=\"95389696\", alpha=\"0.19\", expect_size=\"47694848\"] \n  5 -> 6 [size =\"47694848\"]\n  6 [size=\"42993664\", alpha=\"0.14\", expect_size=\"21496832\"] \n  6 -> 7 [size =\"21496832\"]\n  7 [size=\"29986816\", alpha=\"0.17\", expect_size=\"14993408\"] \n  7 -> 8 [size =\"14993408\"]\n  8 [size=\"43337728\", alpha=\"0.13\", expect_size=\"21668864\"] \n  8 -> 9 [size =\"21668864\"]\n  9 [size=\"77457408\", alpha=\"0.13\", expect_size=\"38728704\"] \n  9 -> 10 [size =\"38728704\"]\n  10 [size=\"103190528\", alpha=\"0.18\", expect_size=\"51595264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98288640\", alpha=\"0.03\", expect_size=\"39315456\"] \n  1 -> 2 [size =\"39315456\"]\n  2 [size=\"45941760\", alpha=\"0.16\", expect_size=\"18376704\"] \n  2 -> 3 [size =\"18376704\"]\n  3 [size=\"40739840\", alpha=\"0.05\", expect_size=\"16295936\"] \n  3 -> 4 [size =\"16295936\"]\n  4 [size=\"118300160\", alpha=\"0.14\", expect_size=\"47320064\"] \n  4 -> 5 [size =\"47320064\"]\n  5 [size=\"52111360\", alpha=\"0.08\", expect_size=\"20844544\"] \n  5 -> 6 [size =\"20844544\"]\n  6 [size=\"111459840\", alpha=\"0.02\", expect_size=\"44583936\"] \n  6 -> 7 [size =\"44583936\"]\n  7 [size=\"63680000\", alpha=\"0.13\", expect_size=\"25472000\"] \n  7 -> 8 [size =\"25472000\"]\n  8 [size=\"106828800\", alpha=\"0.00\", expect_size=\"42731520\"] \n  8 -> 9 [size =\"42731520\"]\n  9 [size=\"108101120\", alpha=\"0.20\", expect_size=\"43240448\"] \n  9 -> 10 [size =\"43240448\"]\n  10 [size=\"49761280\", alpha=\"0.17\", expect_size=\"19904512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54599680\", alpha=\"0.18\", expect_size=\"16379904\"] \n  1 -> 2 [size =\"16379904\"]\n  2 [size=\"155238400\", alpha=\"0.14\", expect_size=\"46571520\"] \n  2 -> 3 [size =\"46571520\"]\n  3 [size=\"31668907\", alpha=\"0.03\", expect_size=\"9500672\"] \n  3 -> 4 [size =\"9500672\"]\n  4 [size=\"128624640\", alpha=\"0.16\", expect_size=\"38587392\"] \n  4 -> 5 [size =\"38587392\"]\n  5 [size=\"131611307\", alpha=\"0.17\", expect_size=\"39483392\"] \n  5 -> 6 [size =\"39483392\"]\n  6 [size=\"61422933\", alpha=\"0.10\", expect_size=\"18426880\"] \n  6 -> 7 [size =\"18426880\"]\n  7 [size=\"32873813\", alpha=\"0.17\", expect_size=\"9862144\"] \n  7 -> 8 [size =\"9862144\"]\n  8 [size=\"45284693\", alpha=\"0.16\", expect_size=\"13585408\"] \n  8 -> 9 [size =\"13585408\"]\n  9 [size=\"146971307\", alpha=\"0.15\", expect_size=\"44091392\"] \n  9 -> 10 [size =\"44091392\"]\n  10 [size=\"103243093\", alpha=\"0.04\", expect_size=\"30972928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31043584\", alpha=\"0.19\", expect_size=\"15521792\"] \n  1 -> 4 [size =\"15521792\"]\n  1 -> 6 [size =\"15521792\"]\n  2 [size=\"31217664\", alpha=\"0.16\", expect_size=\"15608832\"] \n  3 [size=\"34506752\", alpha=\"0.04\", expect_size=\"17253376\"] \n  3 -> 4 [size =\"17253376\"]\n  3 -> 5 [size =\"17253376\"]\n  4 [size=\"102864896\", alpha=\"0.03\", expect_size=\"51432448\"] \n  4 -> 8 [size =\"51432448\"]\n  5 [size=\"100403200\", alpha=\"0.01\", expect_size=\"50201600\"] \n  5 -> 7 [size =\"50201600\"]\n  6 [size=\"13275136\", alpha=\"0.18\", expect_size=\"6637568\"] \n  6 -> 7 [size =\"6637568\"]\n  6 -> 8 [size =\"6637568\"]\n  7 [size=\"22781952\", alpha=\"0.16\", expect_size=\"11390976\"] \n  7 -> 9 [size =\"11390976\"]\n  8 [size=\"32829440\", alpha=\"0.17\", expect_size=\"16414720\"] \n  8 -> 10 [size =\"16414720\"]\n  9 [size=\"37036032\", alpha=\"0.02\", expect_size=\"18518016\"] \n  10 [size=\"17702912\", alpha=\"0.03\", expect_size=\"8851456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82342400\", alpha=\"0.03\", expect_size=\"32936960\"] \n  1 -> 3 [size =\"32936960\"]\n  1 -> 4 [size =\"32936960\"]\n  2 [size=\"49774080\", alpha=\"0.20\", expect_size=\"19909632\"] \n  2 -> 3 [size =\"19909632\"]\n  3 [size=\"45509120\", alpha=\"0.01\", expect_size=\"18203648\"] \n  3 -> 5 [size =\"18203648\"]\n  3 -> 6 [size =\"18203648\"]\n  3 -> 7 [size =\"18203648\"]\n  4 [size=\"81973760\", alpha=\"0.01\", expect_size=\"32789504\"] \n  4 -> 5 [size =\"32789504\"]\n  4 -> 7 [size =\"32789504\"]\n  5 [size=\"109544960\", alpha=\"0.18\", expect_size=\"43817984\"] \n  5 -> 9 [size =\"43817984\"]\n  5 -> 10 [size =\"43817984\"]\n  6 [size=\"113955840\", alpha=\"0.00\", expect_size=\"45582336\"] \n  6 -> 8 [size =\"45582336\"]\n  7 [size=\"17564160\", alpha=\"0.06\", expect_size=\"7025664\"] \n  7 -> 9 [size =\"7025664\"]\n  8 [size=\"95380480\", alpha=\"0.15\", expect_size=\"38152192\"] \n  9 [size=\"127383040\", alpha=\"0.06\", expect_size=\"50953216\"] \n  10 [size=\"128816640\", alpha=\"0.00\", expect_size=\"51526656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40288256\", alpha=\"0.01\", expect_size=\"20144128\"] \n  1 -> 4 [size =\"20144128\"]\n  2 [size=\"83623936\", alpha=\"0.00\", expect_size=\"41811968\"] \n  3 [size=\"94017536\", alpha=\"0.18\", expect_size=\"47008768\"] \n  3 -> 5 [size =\"47008768\"]\n  4 [size=\"19519488\", alpha=\"0.18\", expect_size=\"9759744\"] \n  4 -> 6 [size =\"9759744\"]\n  5 [size=\"97777664\", alpha=\"0.00\", expect_size=\"48888832\"] \n  5 -> 7 [size =\"48888832\"]\n  6 [size=\"77688832\", alpha=\"0.15\", expect_size=\"38844416\"] \n  6 -> 8 [size =\"38844416\"]\n  7 [size=\"90134528\", alpha=\"0.17\", expect_size=\"45067264\"] \n  7 -> 9 [size =\"45067264\"]\n  8 [size=\"30447616\", alpha=\"0.02\", expect_size=\"15223808\"] \n  8 -> 10 [size =\"15223808\"]\n  9 [size=\"56942592\", alpha=\"0.18\", expect_size=\"28471296\"] \n  10 [size=\"67868672\", alpha=\"0.00\", expect_size=\"33934336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85585920\", alpha=\"0.17\", expect_size=\"42792960\"] \n  1 -> 2 [size =\"42792960\"]\n  2 [size=\"28409856\", alpha=\"0.19\", expect_size=\"14204928\"] \n  2 -> 3 [size =\"14204928\"]\n  3 [size=\"27832320\", alpha=\"0.16\", expect_size=\"13916160\"] \n  3 -> 4 [size =\"13916160\"]\n  4 [size=\"27684864\", alpha=\"0.03\", expect_size=\"13842432\"] \n  4 -> 5 [size =\"13842432\"]\n  5 [size=\"99928064\", alpha=\"0.15\", expect_size=\"49964032\"] \n  5 -> 6 [size =\"49964032\"]\n  6 [size=\"25696256\", alpha=\"0.03\", expect_size=\"12848128\"] \n  6 -> 7 [size =\"12848128\"]\n  7 [size=\"25563136\", alpha=\"0.01\", expect_size=\"12781568\"] \n  7 -> 8 [size =\"12781568\"]\n  8 [size=\"94439424\", alpha=\"0.07\", expect_size=\"47219712\"] \n  8 -> 9 [size =\"47219712\"]\n  9 [size=\"100845568\", alpha=\"0.02\", expect_size=\"50422784\"] \n  9 -> 10 [size =\"50422784\"]\n  10 [size=\"90361856\", alpha=\"0.08\", expect_size=\"45180928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158784853\", alpha=\"0.16\", expect_size=\"47635456\"] \n  1 -> 8 [size =\"47635456\"]\n  1 -> 10 [size =\"47635456\"]\n  2 [size=\"124955307\", alpha=\"0.20\", expect_size=\"37486592\"] \n  2 -> 10 [size =\"37486592\"]\n  3 [size=\"81892693\", alpha=\"0.16\", expect_size=\"24567808\"] \n  3 -> 9 [size =\"24567808\"]\n  4 [size=\"163816107\", alpha=\"0.16\", expect_size=\"49144832\"] \n  4 -> 7 [size =\"49144832\"]\n  4 -> 8 [size =\"49144832\"]\n  5 [size=\"148657493\", alpha=\"0.11\", expect_size=\"44597248\"] \n  5 -> 7 [size =\"44597248\"]\n  6 [size=\"104843947\", alpha=\"0.10\", expect_size=\"31453184\"] \n  6 -> 7 [size =\"31453184\"]\n  6 -> 8 [size =\"31453184\"]\n  7 [size=\"77479253\", alpha=\"0.17\", expect_size=\"23243776\"] \n  8 [size=\"173598720\", alpha=\"0.12\", expect_size=\"52079616\"] \n  9 [size=\"153313280\", alpha=\"0.07\", expect_size=\"45993984\"] \n  10 [size=\"161228800\", alpha=\"0.16\", expect_size=\"48368640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47281493\", alpha=\"0.17\", expect_size=\"14184448\"] \n  2 [size=\"108571307\", alpha=\"0.10\", expect_size=\"32571392\"] \n  2 -> 4 [size =\"32571392\"]\n  2 -> 5 [size =\"32571392\"]\n  3 [size=\"147937280\", alpha=\"0.19\", expect_size=\"44381184\"] \n  3 -> 5 [size =\"44381184\"]\n  4 [size=\"157808640\", alpha=\"0.16\", expect_size=\"47342592\"] \n  4 -> 6 [size =\"47342592\"]\n  4 -> 7 [size =\"47342592\"]\n  4 -> 8 [size =\"47342592\"]\n  5 [size=\"159788373\", alpha=\"0.02\", expect_size=\"47936512\"] \n  5 -> 7 [size =\"47936512\"]\n  5 -> 8 [size =\"47936512\"]\n  6 [size=\"147005440\", alpha=\"0.17\", expect_size=\"44101632\"] \n  6 -> 9 [size =\"44101632\"]\n  6 -> 10 [size =\"44101632\"]\n  7 [size=\"135796053\", alpha=\"0.13\", expect_size=\"40738816\"] \n  7 -> 9 [size =\"40738816\"]\n  7 -> 10 [size =\"40738816\"]\n  8 [size=\"107281067\", alpha=\"0.09\", expect_size=\"32184320\"] \n  8 -> 10 [size =\"32184320\"]\n  9 [size=\"20889600\", alpha=\"0.00\", expect_size=\"6266880\"] \n  10 [size=\"125095253\", alpha=\"0.10\", expect_size=\"37528576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85703680\", alpha=\"0.11\", expect_size=\"34281472\"] \n  1 -> 7 [size =\"34281472\"]\n  1 -> 10 [size =\"34281472\"]\n  2 [size=\"21824000\", alpha=\"0.04\", expect_size=\"8729600\"] \n  2 -> 7 [size =\"8729600\"]\n  2 -> 9 [size =\"8729600\"]\n  3 [size=\"29591040\", alpha=\"0.17\", expect_size=\"11836416\"] \n  3 -> 10 [size =\"11836416\"]\n  4 [size=\"82385920\", alpha=\"0.00\", expect_size=\"32954368\"] \n  4 -> 7 [size =\"32954368\"]\n  4 -> 8 [size =\"32954368\"]\n  5 [size=\"108764160\", alpha=\"0.16\", expect_size=\"43505664\"] \n  5 -> 7 [size =\"43505664\"]\n  5 -> 9 [size =\"43505664\"]\n  6 [size=\"27765760\", alpha=\"0.03\", expect_size=\"11106304\"] \n  6 -> 10 [size =\"11106304\"]\n  7 [size=\"34823680\", alpha=\"0.04\", expect_size=\"13929472\"] \n  8 [size=\"71127040\", alpha=\"0.11\", expect_size=\"28450816\"] \n  9 [size=\"97958400\", alpha=\"0.05\", expect_size=\"39183360\"] \n  10 [size=\"94274560\", alpha=\"0.12\", expect_size=\"37709824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56742400\", alpha=\"0.01\", expect_size=\"22696960\"] \n  1 -> 2 [size =\"22696960\"]\n  2 [size=\"25159680\", alpha=\"0.13\", expect_size=\"10063872\"] \n  2 -> 3 [size =\"10063872\"]\n  3 [size=\"87946240\", alpha=\"0.17\", expect_size=\"35178496\"] \n  3 -> 4 [size =\"35178496\"]\n  4 [size=\"128058880\", alpha=\"0.01\", expect_size=\"51223552\"] \n  4 -> 5 [size =\"51223552\"]\n  5 [size=\"80051200\", alpha=\"0.12\", expect_size=\"32020480\"] \n  5 -> 6 [size =\"32020480\"]\n  6 [size=\"130196480\", alpha=\"0.15\", expect_size=\"52078592\"] \n  6 -> 7 [size =\"52078592\"]\n  7 [size=\"118881280\", alpha=\"0.10\", expect_size=\"47552512\"] \n  7 -> 8 [size =\"47552512\"]\n  8 [size=\"71272960\", alpha=\"0.14\", expect_size=\"28509184\"] \n  8 -> 9 [size =\"28509184\"]\n  9 [size=\"86407680\", alpha=\"0.04\", expect_size=\"34563072\"] \n  9 -> 10 [size =\"34563072\"]\n  10 [size=\"60067840\", alpha=\"0.19\", expect_size=\"24027136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59584000\", alpha=\"0.17\", expect_size=\"23833600\"] \n  1 -> 2 [size =\"23833600\"]\n  2 [size=\"97121280\", alpha=\"0.12\", expect_size=\"38848512\"] \n  2 -> 3 [size =\"38848512\"]\n  3 [size=\"13788160\", alpha=\"0.05\", expect_size=\"5515264\"] \n  3 -> 4 [size =\"5515264\"]\n  4 [size=\"49484800\", alpha=\"0.14\", expect_size=\"19793920\"] \n  4 -> 5 [size =\"19793920\"]\n  5 [size=\"129413120\", alpha=\"0.11\", expect_size=\"51765248\"] \n  5 -> 6 [size =\"51765248\"]\n  6 [size=\"68216320\", alpha=\"0.03\", expect_size=\"27286528\"] \n  6 -> 7 [size =\"27286528\"]\n  7 [size=\"84070400\", alpha=\"0.15\", expect_size=\"33628160\"] \n  7 -> 8 [size =\"33628160\"]\n  8 [size=\"121566720\", alpha=\"0.01\", expect_size=\"48626688\"] \n  8 -> 9 [size =\"48626688\"]\n  9 [size=\"94929920\", alpha=\"0.10\", expect_size=\"37971968\"] \n  9 -> 10 [size =\"37971968\"]\n  10 [size=\"95592960\", alpha=\"0.08\", expect_size=\"38237184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122334720\", alpha=\"0.13\", expect_size=\"48933888\"] \n  1 -> 9 [size =\"48933888\"]\n  2 [size=\"59417600\", alpha=\"0.09\", expect_size=\"23767040\"] \n  2 -> 8 [size =\"23767040\"]\n  2 -> 9 [size =\"23767040\"]\n  3 [size=\"126991360\", alpha=\"0.18\", expect_size=\"50796544\"] \n  3 -> 4 [size =\"50796544\"]\n  3 -> 5 [size =\"50796544\"]\n  3 -> 6 [size =\"50796544\"]\n  3 -> 7 [size =\"50796544\"]\n  3 -> 8 [size =\"50796544\"]\n  3 -> 10 [size =\"50796544\"]\n  4 [size=\"19031040\", alpha=\"0.16\", expect_size=\"7612416\"] \n  5 [size=\"42690560\", alpha=\"0.17\", expect_size=\"17076224\"] \n  6 [size=\"36546560\", alpha=\"0.03\", expect_size=\"14618624\"] \n  7 [size=\"25546240\", alpha=\"0.18\", expect_size=\"10218496\"] \n  8 [size=\"96143360\", alpha=\"0.08\", expect_size=\"38457344\"] \n  9 [size=\"126489600\", alpha=\"0.16\", expect_size=\"50595840\"] \n  10 [size=\"78223360\", alpha=\"0.16\", expect_size=\"31289344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16832000\", alpha=\"0.01\", expect_size=\"6732800\"] \n  1 -> 7 [size =\"6732800\"]\n  1 -> 8 [size =\"6732800\"]\n  1 -> 9 [size =\"6732800\"]\n  2 [size=\"52590080\", alpha=\"0.01\", expect_size=\"21036032\"] \n  2 -> 6 [size =\"21036032\"]\n  2 -> 8 [size =\"21036032\"]\n  3 [size=\"81177600\", alpha=\"0.09\", expect_size=\"32471040\"] \n  3 -> 8 [size =\"32471040\"]\n  3 -> 10 [size =\"32471040\"]\n  4 [size=\"116308480\", alpha=\"0.08\", expect_size=\"46523392\"] \n  5 [size=\"40832000\", alpha=\"0.15\", expect_size=\"16332800\"] \n  5 -> 8 [size =\"16332800\"]\n  5 -> 10 [size =\"16332800\"]\n  6 [size=\"99041280\", alpha=\"0.19\", expect_size=\"39616512\"] \n  7 [size=\"42785280\", alpha=\"0.06\", expect_size=\"17114112\"] \n  8 [size=\"65922560\", alpha=\"0.07\", expect_size=\"26369024\"] \n  9 [size=\"117194240\", alpha=\"0.09\", expect_size=\"46877696\"] \n  10 [size=\"34503680\", alpha=\"0.14\", expect_size=\"13801472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66380800\", alpha=\"0.15\", expect_size=\"26552320\"] \n  1 -> 2 [size =\"26552320\"]\n  2 [size=\"74885120\", alpha=\"0.17\", expect_size=\"29954048\"] \n  2 -> 3 [size =\"29954048\"]\n  3 [size=\"24468480\", alpha=\"0.08\", expect_size=\"9787392\"] \n  3 -> 4 [size =\"9787392\"]\n  4 [size=\"46174720\", alpha=\"0.10\", expect_size=\"18469888\"] \n  4 -> 5 [size =\"18469888\"]\n  5 [size=\"96107520\", alpha=\"0.19\", expect_size=\"38443008\"] \n  5 -> 6 [size =\"38443008\"]\n  6 [size=\"112614400\", alpha=\"0.06\", expect_size=\"45045760\"] \n  6 -> 7 [size =\"45045760\"]\n  7 [size=\"31600640\", alpha=\"0.19\", expect_size=\"12640256\"] \n  7 -> 8 [size =\"12640256\"]\n  8 [size=\"27729920\", alpha=\"0.01\", expect_size=\"11091968\"] \n  8 -> 9 [size =\"11091968\"]\n  9 [size=\"109547520\", alpha=\"0.07\", expect_size=\"43819008\"] \n  9 -> 10 [size =\"43819008\"]\n  10 [size=\"129605120\", alpha=\"0.11\", expect_size=\"51842048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55511040\", alpha=\"0.15\", expect_size=\"16653312\"] \n  2 [size=\"130338133\", alpha=\"0.04\", expect_size=\"39101440\"] \n  2 -> 9 [size =\"39101440\"]\n  3 [size=\"64419840\", alpha=\"0.09\", expect_size=\"19325952\"] \n  4 [size=\"20903253\", alpha=\"0.12\", expect_size=\"6270976\"] \n  4 -> 9 [size =\"6270976\"]\n  5 [size=\"127675733\", alpha=\"0.19\", expect_size=\"38302720\"] \n  5 -> 9 [size =\"38302720\"]\n  6 [size=\"62225067\", alpha=\"0.12\", expect_size=\"18667520\"] \n  7 [size=\"23726080\", alpha=\"0.02\", expect_size=\"7117824\"] \n  8 [size=\"163840000\", alpha=\"0.16\", expect_size=\"49152000\"] \n  8 -> 10 [size =\"49152000\"]\n  9 [size=\"51974827\", alpha=\"0.16\", expect_size=\"15592448\"] \n  10 [size=\"85753173\", alpha=\"0.10\", expect_size=\"25725952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16158720\", alpha=\"0.11\", expect_size=\"6463488\"] \n  1 -> 2 [size =\"6463488\"]\n  2 [size=\"72266240\", alpha=\"0.04\", expect_size=\"28906496\"] \n  2 -> 3 [size =\"28906496\"]\n  3 [size=\"45532160\", alpha=\"0.00\", expect_size=\"18212864\"] \n  3 -> 4 [size =\"18212864\"]\n  4 [size=\"111884800\", alpha=\"0.08\", expect_size=\"44753920\"] \n  4 -> 5 [size =\"44753920\"]\n  5 [size=\"30640640\", alpha=\"0.10\", expect_size=\"12256256\"] \n  5 -> 6 [size =\"12256256\"]\n  6 [size=\"53002240\", alpha=\"0.17\", expect_size=\"21200896\"] \n  6 -> 7 [size =\"21200896\"]\n  7 [size=\"104522240\", alpha=\"0.08\", expect_size=\"41808896\"] \n  7 -> 8 [size =\"41808896\"]\n  8 [size=\"51973120\", alpha=\"0.02\", expect_size=\"20789248\"] \n  8 -> 9 [size =\"20789248\"]\n  9 [size=\"78999040\", alpha=\"0.07\", expect_size=\"31599616\"] \n  9 -> 10 [size =\"31599616\"]\n  10 [size=\"109409280\", alpha=\"0.05\", expect_size=\"43763712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170383360\", alpha=\"0.13\", expect_size=\"51115008\"] \n  2 [size=\"35089067\", alpha=\"0.18\", expect_size=\"10526720\"] \n  2 -> 5 [size =\"10526720\"]\n  2 -> 6 [size =\"10526720\"]\n  3 [size=\"150132053\", alpha=\"0.07\", expect_size=\"45039616\"] \n  3 -> 6 [size =\"45039616\"]\n  4 [size=\"74089813\", alpha=\"0.04\", expect_size=\"22226944\"] \n  4 -> 7 [size =\"22226944\"]\n  5 [size=\"43690667\", alpha=\"0.16\", expect_size=\"13107200\"] \n  5 -> 8 [size =\"13107200\"]\n  5 -> 10 [size =\"13107200\"]\n  6 [size=\"124108800\", alpha=\"0.04\", expect_size=\"37232640\"] \n  6 -> 8 [size =\"37232640\"]\n  6 -> 10 [size =\"37232640\"]\n  7 [size=\"132136960\", alpha=\"0.04\", expect_size=\"39641088\"] \n  7 -> 9 [size =\"39641088\"]\n  8 [size=\"150343680\", alpha=\"0.03\", expect_size=\"45103104\"] \n  9 [size=\"109503147\", alpha=\"0.01\", expect_size=\"32850944\"] \n  10 [size=\"156743680\", alpha=\"0.02\", expect_size=\"47023104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53278720\", alpha=\"0.10\", expect_size=\"26639360\"] \n  1 -> 8 [size =\"26639360\"]\n  1 -> 10 [size =\"26639360\"]\n  2 [size=\"20107264\", alpha=\"0.18\", expect_size=\"10053632\"] \n  2 -> 6 [size =\"10053632\"]\n  3 [size=\"59711488\", alpha=\"0.00\", expect_size=\"29855744\"] \n  3 -> 6 [size =\"29855744\"]\n  3 -> 7 [size =\"29855744\"]\n  3 -> 8 [size =\"29855744\"]\n  4 [size=\"73777152\", alpha=\"0.07\", expect_size=\"36888576\"] \n  4 -> 9 [size =\"36888576\"]\n  5 [size=\"73568256\", alpha=\"0.04\", expect_size=\"36784128\"] \n  5 -> 8 [size =\"36784128\"]\n  6 [size=\"90052608\", alpha=\"0.05\", expect_size=\"45026304\"] \n  7 [size=\"88899584\", alpha=\"0.08\", expect_size=\"44449792\"] \n  8 [size=\"97021952\", alpha=\"0.04\", expect_size=\"48510976\"] \n  9 [size=\"16207872\", alpha=\"0.04\", expect_size=\"8103936\"] \n  10 [size=\"28610560\", alpha=\"0.16\", expect_size=\"14305280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81260544\", alpha=\"0.01\", expect_size=\"40630272\"] \n  1 -> 7 [size =\"40630272\"]\n  1 -> 9 [size =\"40630272\"]\n  2 [size=\"15486976\", alpha=\"0.03\", expect_size=\"7743488\"] \n  2 -> 6 [size =\"7743488\"]\n  3 [size=\"74520576\", alpha=\"0.20\", expect_size=\"37260288\"] \n  3 -> 9 [size =\"37260288\"]\n  4 [size=\"53995520\", alpha=\"0.03\", expect_size=\"26997760\"] \n  4 -> 8 [size =\"26997760\"]\n  5 [size=\"10522624\", alpha=\"0.07\", expect_size=\"5261312\"] \n  5 -> 6 [size =\"5261312\"]\n  6 [size=\"52516864\", alpha=\"0.19\", expect_size=\"26258432\"] \n  6 -> 10 [size =\"26258432\"]\n  7 [size=\"99164160\", alpha=\"0.03\", expect_size=\"49582080\"] \n  8 [size=\"81819648\", alpha=\"0.19\", expect_size=\"40909824\"] \n  9 [size=\"44324864\", alpha=\"0.06\", expect_size=\"22162432\"] \n  9 -> 10 [size =\"22162432\"]\n  10 [size=\"89706496\", alpha=\"0.10\", expect_size=\"44853248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14413824\", alpha=\"0.05\", expect_size=\"7206912\"] \n  1 -> 2 [size =\"7206912\"]\n  2 [size=\"13903872\", alpha=\"0.09\", expect_size=\"6951936\"] \n  2 -> 3 [size =\"6951936\"]\n  3 [size=\"48859136\", alpha=\"0.17\", expect_size=\"24429568\"] \n  3 -> 4 [size =\"24429568\"]\n  4 [size=\"47519744\", alpha=\"0.11\", expect_size=\"23759872\"] \n  4 -> 5 [size =\"23759872\"]\n  5 [size=\"31711232\", alpha=\"0.04\", expect_size=\"15855616\"] \n  5 -> 6 [size =\"15855616\"]\n  6 [size=\"69859328\", alpha=\"0.05\", expect_size=\"34929664\"] \n  6 -> 7 [size =\"34929664\"]\n  7 [size=\"17457152\", alpha=\"0.12\", expect_size=\"8728576\"] \n  7 -> 8 [size =\"8728576\"]\n  8 [size=\"22163456\", alpha=\"0.15\", expect_size=\"11081728\"] \n  8 -> 9 [size =\"11081728\"]\n  9 [size=\"12099584\", alpha=\"0.05\", expect_size=\"6049792\"] \n  9 -> 10 [size =\"6049792\"]\n  10 [size=\"38404096\", alpha=\"0.19\", expect_size=\"19202048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138298027\", alpha=\"0.02\", expect_size=\"41489408\"] \n  1 -> 7 [size =\"41489408\"]\n  1 -> 10 [size =\"41489408\"]\n  2 [size=\"84415147\", alpha=\"0.13\", expect_size=\"25324544\"] \n  2 -> 7 [size =\"25324544\"]\n  3 [size=\"151657813\", alpha=\"0.01\", expect_size=\"45497344\"] \n  4 [size=\"39570773\", alpha=\"0.03\", expect_size=\"11871232\"] \n  4 -> 8 [size =\"11871232\"]\n  5 [size=\"114428587\", alpha=\"0.15\", expect_size=\"34328576\"] \n  5 -> 8 [size =\"34328576\"]\n  5 -> 9 [size =\"34328576\"]\n  6 [size=\"84630187\", alpha=\"0.04\", expect_size=\"25389056\"] \n  6 -> 8 [size =\"25389056\"]\n  6 -> 9 [size =\"25389056\"]\n  7 [size=\"137523200\", alpha=\"0.03\", expect_size=\"41256960\"] \n  8 [size=\"39789227\", alpha=\"0.02\", expect_size=\"11936768\"] \n  9 [size=\"67399680\", alpha=\"0.15\", expect_size=\"20219904\"] \n  10 [size=\"29013333\", alpha=\"0.10\", expect_size=\"8704000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124088320\", alpha=\"0.03\", expect_size=\"37226496\"] \n  2 [size=\"171397120\", alpha=\"0.04\", expect_size=\"51419136\"] \n  3 [size=\"136198827\", alpha=\"0.04\", expect_size=\"40859648\"] \n  4 [size=\"108929707\", alpha=\"0.07\", expect_size=\"32678912\"] \n  5 [size=\"56036693\", alpha=\"0.15\", expect_size=\"16811008\"] \n  6 [size=\"38673067\", alpha=\"0.12\", expect_size=\"11601920\"] \n  7 [size=\"102611627\", alpha=\"0.05\", expect_size=\"30783488\"] \n  8 [size=\"23347200\", alpha=\"0.03\", expect_size=\"7004160\"] \n  9 [size=\"103529813\", alpha=\"0.01\", expect_size=\"31058944\"] \n  10 [size=\"165980160\", alpha=\"0.11\", expect_size=\"49794048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24683520\", alpha=\"0.03\", expect_size=\"9873408\"] \n  1 -> 2 [size =\"9873408\"]\n  2 [size=\"53949440\", alpha=\"0.04\", expect_size=\"21579776\"] \n  2 -> 3 [size =\"21579776\"]\n  3 [size=\"130501120\", alpha=\"0.20\", expect_size=\"52200448\"] \n  3 -> 4 [size =\"52200448\"]\n  4 [size=\"114762240\", alpha=\"0.17\", expect_size=\"45904896\"] \n  4 -> 5 [size =\"45904896\"]\n  5 [size=\"64919040\", alpha=\"0.12\", expect_size=\"25967616\"] \n  5 -> 6 [size =\"25967616\"]\n  6 [size=\"13255680\", alpha=\"0.18\", expect_size=\"5302272\"] \n  6 -> 7 [size =\"5302272\"]\n  7 [size=\"27709440\", alpha=\"0.15\", expect_size=\"11083776\"] \n  7 -> 8 [size =\"11083776\"]\n  8 [size=\"51072000\", alpha=\"0.05\", expect_size=\"20428800\"] \n  8 -> 9 [size =\"20428800\"]\n  9 [size=\"87805440\", alpha=\"0.11\", expect_size=\"35122176\"] \n  9 -> 10 [size =\"35122176\"]\n  10 [size=\"80921600\", alpha=\"0.13\", expect_size=\"32368640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26808320\", alpha=\"0.19\", expect_size=\"10723328\"] \n  1 -> 2 [size =\"10723328\"]\n  2 [size=\"66035200\", alpha=\"0.12\", expect_size=\"26414080\"] \n  2 -> 3 [size =\"26414080\"]\n  3 [size=\"114216960\", alpha=\"0.18\", expect_size=\"45686784\"] \n  3 -> 4 [size =\"45686784\"]\n  4 [size=\"93795840\", alpha=\"0.10\", expect_size=\"37518336\"] \n  4 -> 5 [size =\"37518336\"]\n  5 [size=\"53606400\", alpha=\"0.01\", expect_size=\"21442560\"] \n  5 -> 6 [size =\"21442560\"]\n  6 [size=\"126146560\", alpha=\"0.06\", expect_size=\"50458624\"] \n  6 -> 7 [size =\"50458624\"]\n  7 [size=\"108321280\", alpha=\"0.00\", expect_size=\"43328512\"] \n  7 -> 8 [size =\"43328512\"]\n  8 [size=\"98263040\", alpha=\"0.12\", expect_size=\"39305216\"] \n  8 -> 9 [size =\"39305216\"]\n  9 [size=\"92559360\", alpha=\"0.17\", expect_size=\"37023744\"] \n  9 -> 10 [size =\"37023744\"]\n  10 [size=\"111887360\", alpha=\"0.10\", expect_size=\"44754944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23544320\", alpha=\"0.04\", expect_size=\"9417728\"] \n  1 -> 6 [size =\"9417728\"]\n  1 -> 7 [size =\"9417728\"]\n  2 [size=\"58158080\", alpha=\"0.06\", expect_size=\"23263232\"] \n  3 [size=\"35599360\", alpha=\"0.09\", expect_size=\"14239744\"] \n  4 [size=\"104202240\", alpha=\"0.11\", expect_size=\"41680896\"] \n  4 -> 7 [size =\"41680896\"]\n  4 -> 8 [size =\"41680896\"]\n  5 [size=\"14384640\", alpha=\"0.11\", expect_size=\"5753856\"] \n  5 -> 7 [size =\"5753856\"]\n  5 -> 8 [size =\"5753856\"]\n  6 [size=\"43619840\", alpha=\"0.07\", expect_size=\"17447936\"] \n  7 [size=\"82101760\", alpha=\"0.02\", expect_size=\"32840704\"] \n  7 -> 9 [size =\"32840704\"]\n  7 -> 10 [size =\"32840704\"]\n  8 [size=\"13724160\", alpha=\"0.20\", expect_size=\"5489664\"] \n  8 -> 10 [size =\"5489664\"]\n  9 [size=\"36518400\", alpha=\"0.12\", expect_size=\"14607360\"] \n  10 [size=\"98664960\", alpha=\"0.15\", expect_size=\"39465984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106854400\", alpha=\"0.09\", expect_size=\"42741760\"] \n  1 -> 8 [size =\"42741760\"]\n  1 -> 9 [size =\"42741760\"]\n  1 -> 10 [size =\"42741760\"]\n  2 [size=\"87879680\", alpha=\"0.12\", expect_size=\"35151872\"] \n  2 -> 8 [size =\"35151872\"]\n  2 -> 10 [size =\"35151872\"]\n  3 [size=\"120222720\", alpha=\"0.13\", expect_size=\"48089088\"] \n  3 -> 7 [size =\"48089088\"]\n  3 -> 8 [size =\"48089088\"]\n  3 -> 9 [size =\"48089088\"]\n  3 -> 10 [size =\"48089088\"]\n  4 [size=\"43709440\", alpha=\"0.03\", expect_size=\"17483776\"] \n  4 -> 7 [size =\"17483776\"]\n  4 -> 8 [size =\"17483776\"]\n  4 -> 9 [size =\"17483776\"]\n  5 [size=\"75911680\", alpha=\"0.02\", expect_size=\"30364672\"] \n  5 -> 9 [size =\"30364672\"]\n  6 [size=\"21306880\", alpha=\"0.07\", expect_size=\"8522752\"] \n  6 -> 8 [size =\"8522752\"]\n  6 -> 10 [size =\"8522752\"]\n  7 [size=\"129495040\", alpha=\"0.13\", expect_size=\"51798016\"] \n  8 [size=\"113692160\", alpha=\"0.08\", expect_size=\"45476864\"] \n  9 [size=\"120980480\", alpha=\"0.04\", expect_size=\"48392192\"] \n  10 [size=\"96960000\", alpha=\"0.01\", expect_size=\"38784000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72192000\", alpha=\"0.20\", expect_size=\"36096000\"] \n  1 -> 4 [size =\"36096000\"]\n  2 [size=\"32532480\", alpha=\"0.08\", expect_size=\"16266240\"] \n  2 -> 5 [size =\"16266240\"]\n  3 [size=\"14481408\", alpha=\"0.17\", expect_size=\"7240704\"] \n  4 [size=\"20115456\", alpha=\"0.13\", expect_size=\"10057728\"] \n  4 -> 6 [size =\"10057728\"]\n  4 -> 7 [size =\"10057728\"]\n  4 -> 8 [size =\"10057728\"]\n  5 [size=\"70356992\", alpha=\"0.08\", expect_size=\"35178496\"] \n  5 -> 7 [size =\"35178496\"]\n  5 -> 8 [size =\"35178496\"]\n  6 [size=\"25260032\", alpha=\"0.10\", expect_size=\"12630016\"] \n  6 -> 10 [size =\"12630016\"]\n  7 [size=\"15093760\", alpha=\"0.19\", expect_size=\"7546880\"] \n  7 -> 9 [size =\"7546880\"]\n  8 [size=\"37869568\", alpha=\"0.05\", expect_size=\"18934784\"] \n  9 [size=\"53131264\", alpha=\"0.02\", expect_size=\"26565632\"] \n  10 [size=\"31375360\", alpha=\"0.19\", expect_size=\"15687680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80110933\", alpha=\"0.16\", expect_size=\"24033280\"] \n  1 -> 6 [size =\"24033280\"]\n  1 -> 9 [size =\"24033280\"]\n  2 [size=\"107704320\", alpha=\"0.04\", expect_size=\"32311296\"] \n  2 -> 7 [size =\"32311296\"]\n  2 -> 9 [size =\"32311296\"]\n  3 [size=\"20169387\", alpha=\"0.03\", expect_size=\"6050816\"] \n  3 -> 8 [size =\"6050816\"]\n  3 -> 9 [size =\"6050816\"]\n  3 -> 10 [size =\"6050816\"]\n  4 [size=\"30259200\", alpha=\"0.15\", expect_size=\"9077760\"] \n  4 -> 8 [size =\"9077760\"]\n  4 -> 10 [size =\"9077760\"]\n  5 [size=\"98252800\", alpha=\"0.09\", expect_size=\"29475840\"] \n  5 -> 6 [size =\"29475840\"]\n  5 -> 10 [size =\"29475840\"]\n  6 [size=\"32559787\", alpha=\"0.03\", expect_size=\"9767936\"] \n  7 [size=\"116411733\", alpha=\"0.11\", expect_size=\"34923520\"] \n  8 [size=\"31993173\", alpha=\"0.17\", expect_size=\"9597952\"] \n  9 [size=\"69522773\", alpha=\"0.07\", expect_size=\"20856832\"] \n  10 [size=\"148766720\", alpha=\"0.08\", expect_size=\"44630016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28962816\", alpha=\"0.04\", expect_size=\"14481408\"] \n  1 -> 2 [size =\"14481408\"]\n  2 [size=\"92364800\", alpha=\"0.16\", expect_size=\"46182400\"] \n  2 -> 3 [size =\"46182400\"]\n  3 [size=\"87480320\", alpha=\"0.19\", expect_size=\"43740160\"] \n  3 -> 4 [size =\"43740160\"]\n  4 [size=\"56358912\", alpha=\"0.19\", expect_size=\"28179456\"] \n  4 -> 5 [size =\"28179456\"]\n  5 [size=\"55310336\", alpha=\"0.08\", expect_size=\"27655168\"] \n  5 -> 6 [size =\"27655168\"]\n  6 [size=\"39178240\", alpha=\"0.08\", expect_size=\"19589120\"] \n  6 -> 7 [size =\"19589120\"]\n  7 [size=\"63465472\", alpha=\"0.09\", expect_size=\"31732736\"] \n  7 -> 8 [size =\"31732736\"]\n  8 [size=\"90345472\", alpha=\"0.09\", expect_size=\"45172736\"] \n  8 -> 9 [size =\"45172736\"]\n  9 [size=\"91881472\", alpha=\"0.10\", expect_size=\"45940736\"] \n  9 -> 10 [size =\"45940736\"]\n  10 [size=\"50038784\", alpha=\"0.02\", expect_size=\"25019392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38374400\", alpha=\"0.10\", expect_size=\"15349760\"] \n  1 -> 2 [size =\"15349760\"]\n  2 [size=\"68595200\", alpha=\"0.14\", expect_size=\"27438080\"] \n  2 -> 3 [size =\"27438080\"]\n  3 [size=\"93073920\", alpha=\"0.16\", expect_size=\"37229568\"] \n  3 -> 4 [size =\"37229568\"]\n  4 [size=\"49443840\", alpha=\"0.01\", expect_size=\"19777536\"] \n  4 -> 5 [size =\"19777536\"]\n  5 [size=\"57712640\", alpha=\"0.17\", expect_size=\"23085056\"] \n  5 -> 6 [size =\"23085056\"]\n  6 [size=\"43676160\", alpha=\"0.16\", expect_size=\"17470464\"] \n  6 -> 7 [size =\"17470464\"]\n  7 [size=\"100582400\", alpha=\"0.03\", expect_size=\"40232960\"] \n  7 -> 8 [size =\"40232960\"]\n  8 [size=\"41566720\", alpha=\"0.16\", expect_size=\"16626688\"] \n  8 -> 9 [size =\"16626688\"]\n  9 [size=\"59742720\", alpha=\"0.05\", expect_size=\"23897088\"] \n  9 -> 10 [size =\"23897088\"]\n  10 [size=\"33274880\", alpha=\"0.20\", expect_size=\"13309952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41123840\", alpha=\"0.16\", expect_size=\"16449536\"] \n  1 -> 2 [size =\"16449536\"]\n  2 [size=\"81420800\", alpha=\"0.02\", expect_size=\"32568320\"] \n  2 -> 3 [size =\"32568320\"]\n  3 [size=\"77660160\", alpha=\"0.04\", expect_size=\"31064064\"] \n  3 -> 4 [size =\"31064064\"]\n  4 [size=\"29498880\", alpha=\"0.03\", expect_size=\"11799552\"] \n  4 -> 5 [size =\"11799552\"]\n  5 [size=\"106567680\", alpha=\"0.16\", expect_size=\"42627072\"] \n  5 -> 6 [size =\"42627072\"]\n  6 [size=\"39974400\", alpha=\"0.04\", expect_size=\"15989760\"] \n  6 -> 7 [size =\"15989760\"]\n  7 [size=\"123796480\", alpha=\"0.18\", expect_size=\"49518592\"] \n  7 -> 8 [size =\"49518592\"]\n  8 [size=\"31598080\", alpha=\"0.03\", expect_size=\"12639232\"] \n  8 -> 9 [size =\"12639232\"]\n  9 [size=\"125562880\", alpha=\"0.11\", expect_size=\"50225152\"] \n  9 -> 10 [size =\"50225152\"]\n  10 [size=\"125598720\", alpha=\"0.18\", expect_size=\"50239488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89946112\", alpha=\"0.11\", expect_size=\"44973056\"] \n  1 -> 4 [size =\"44973056\"]\n  2 [size=\"101369856\", alpha=\"0.05\", expect_size=\"50684928\"] \n  2 -> 3 [size =\"50684928\"]\n  2 -> 4 [size =\"50684928\"]\n  3 [size=\"93415424\", alpha=\"0.14\", expect_size=\"46707712\"] \n  3 -> 5 [size =\"46707712\"]\n  4 [size=\"52869120\", alpha=\"0.08\", expect_size=\"26434560\"] \n  4 -> 6 [size =\"26434560\"]\n  5 [size=\"77795328\", alpha=\"0.19\", expect_size=\"38897664\"] \n  5 -> 8 [size =\"38897664\"]\n  6 [size=\"30466048\", alpha=\"0.14\", expect_size=\"15233024\"] \n  6 -> 7 [size =\"15233024\"]\n  7 [size=\"16699392\", alpha=\"0.03\", expect_size=\"8349696\"] \n  8 [size=\"59047936\", alpha=\"0.12\", expect_size=\"29523968\"] \n  8 -> 9 [size =\"29523968\"]\n  8 -> 10 [size =\"29523968\"]\n  9 [size=\"43724800\", alpha=\"0.01\", expect_size=\"21862400\"] \n  10 [size=\"54267904\", alpha=\"0.09\", expect_size=\"27133952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103173120\", alpha=\"0.18\", expect_size=\"41269248\"] \n  1 -> 2 [size =\"41269248\"]\n  2 [size=\"45222400\", alpha=\"0.19\", expect_size=\"18088960\"] \n  2 -> 3 [size =\"18088960\"]\n  3 [size=\"43461120\", alpha=\"0.09\", expect_size=\"17384448\"] \n  3 -> 4 [size =\"17384448\"]\n  4 [size=\"103608320\", alpha=\"0.17\", expect_size=\"41443328\"] \n  4 -> 5 [size =\"41443328\"]\n  5 [size=\"22684160\", alpha=\"0.14\", expect_size=\"9073664\"] \n  5 -> 6 [size =\"9073664\"]\n  6 [size=\"27125760\", alpha=\"0.19\", expect_size=\"10850304\"] \n  6 -> 7 [size =\"10850304\"]\n  7 [size=\"104860160\", alpha=\"0.17\", expect_size=\"41944064\"] \n  7 -> 8 [size =\"41944064\"]\n  8 [size=\"122147840\", alpha=\"0.05\", expect_size=\"48859136\"] \n  8 -> 9 [size =\"48859136\"]\n  9 [size=\"130478080\", alpha=\"0.01\", expect_size=\"52191232\"] \n  9 -> 10 [size =\"52191232\"]\n  10 [size=\"64043520\", alpha=\"0.02\", expect_size=\"25617408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13066240\", alpha=\"0.03\", expect_size=\"6533120\"] \n  1 -> 3 [size =\"6533120\"]\n  1 -> 4 [size =\"6533120\"]\n  1 -> 5 [size =\"6533120\"]\n  2 [size=\"33654784\", alpha=\"0.01\", expect_size=\"16827392\"] \n  2 -> 3 [size =\"16827392\"]\n  2 -> 4 [size =\"16827392\"]\n  2 -> 5 [size =\"16827392\"]\n  3 [size=\"85039104\", alpha=\"0.04\", expect_size=\"42519552\"] \n  3 -> 6 [size =\"42519552\"]\n  3 -> 7 [size =\"42519552\"]\n  3 -> 8 [size =\"42519552\"]\n  4 [size=\"46788608\", alpha=\"0.18\", expect_size=\"23394304\"] \n  4 -> 6 [size =\"23394304\"]\n  4 -> 7 [size =\"23394304\"]\n  5 [size=\"22849536\", alpha=\"0.07\", expect_size=\"11424768\"] \n  5 -> 6 [size =\"11424768\"]\n  5 -> 7 [size =\"11424768\"]\n  5 -> 8 [size =\"11424768\"]\n  6 [size=\"20228096\", alpha=\"0.09\", expect_size=\"10114048\"] \n  6 -> 10 [size =\"10114048\"]\n  7 [size=\"10622976\", alpha=\"0.04\", expect_size=\"5311488\"] \n  7 -> 9 [size =\"5311488\"]\n  7 -> 10 [size =\"5311488\"]\n  8 [size=\"19433472\", alpha=\"0.17\", expect_size=\"9716736\"] \n  8 -> 9 [size =\"9716736\"]\n  9 [size=\"56117248\", alpha=\"0.02\", expect_size=\"28058624\"] \n  10 [size=\"90771456\", alpha=\"0.13\", expect_size=\"45385728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88588800\", alpha=\"0.08\", expect_size=\"35435520\"] \n  1 -> 7 [size =\"35435520\"]\n  2 [size=\"92206080\", alpha=\"0.17\", expect_size=\"36882432\"] \n  2 -> 7 [size =\"36882432\"]\n  2 -> 9 [size =\"36882432\"]\n  3 [size=\"48532480\", alpha=\"0.16\", expect_size=\"19412992\"] \n  3 -> 9 [size =\"19412992\"]\n  4 [size=\"114004480\", alpha=\"0.20\", expect_size=\"45601792\"] \n  4 -> 10 [size =\"45601792\"]\n  5 [size=\"60876800\", alpha=\"0.10\", expect_size=\"24350720\"] \n  5 -> 8 [size =\"24350720\"]\n  5 -> 9 [size =\"24350720\"]\n  5 -> 10 [size =\"24350720\"]\n  6 [size=\"49233920\", alpha=\"0.19\", expect_size=\"19693568\"] \n  6 -> 8 [size =\"19693568\"]\n  6 -> 10 [size =\"19693568\"]\n  7 [size=\"90344960\", alpha=\"0.08\", expect_size=\"36137984\"] \n  8 [size=\"107852800\", alpha=\"0.11\", expect_size=\"43141120\"] \n  9 [size=\"46824960\", alpha=\"0.14\", expect_size=\"18729984\"] \n  10 [size=\"42641920\", alpha=\"0.15\", expect_size=\"17056768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44185600\", alpha=\"0.12\", expect_size=\"17674240\"] \n  1 -> 4 [size =\"17674240\"]\n  1 -> 5 [size =\"17674240\"]\n  2 [size=\"63331840\", alpha=\"0.08\", expect_size=\"25332736\"] \n  3 [size=\"51829760\", alpha=\"0.06\", expect_size=\"20731904\"] \n  3 -> 5 [size =\"20731904\"]\n  4 [size=\"24015360\", alpha=\"0.04\", expect_size=\"9606144\"] \n  4 -> 6 [size =\"9606144\"]\n  4 -> 7 [size =\"9606144\"]\n  5 [size=\"114385920\", alpha=\"0.13\", expect_size=\"45754368\"] \n  6 [size=\"42864640\", alpha=\"0.14\", expect_size=\"17145856\"] \n  6 -> 8 [size =\"17145856\"]\n  7 [size=\"50270720\", alpha=\"0.12\", expect_size=\"20108288\"] \n  7 -> 9 [size =\"20108288\"]\n  7 -> 10 [size =\"20108288\"]\n  8 [size=\"14894080\", alpha=\"0.13\", expect_size=\"5957632\"] \n  9 [size=\"114275840\", alpha=\"0.01\", expect_size=\"45710336\"] \n  10 [size=\"90877440\", alpha=\"0.06\", expect_size=\"36350976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10/random.10.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:06 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116350293\", alpha=\"0.07\", expect_size=\"34905088\"] \n  1 -> 4 [size =\"34905088\"]\n  1 -> 5 [size =\"34905088\"]\n  2 [size=\"98085547\", alpha=\"0.01\", expect_size=\"29425664\"] \n  2 -> 3 [size =\"29425664\"]\n  2 -> 4 [size =\"29425664\"]\n  2 -> 5 [size =\"29425664\"]\n  3 [size=\"71482027\", alpha=\"0.02\", expect_size=\"21444608\"] \n  3 -> 7 [size =\"21444608\"]\n  3 -> 8 [size =\"21444608\"]\n  3 -> 8 [size =\"21444608\"]\n  4 [size=\"47605760\", alpha=\"0.13\", expect_size=\"14281728\"] \n  4 -> 7 [size =\"14281728\"]\n  5 [size=\"51541333\", alpha=\"0.00\", expect_size=\"15462400\"] \n  5 -> 6 [size =\"15462400\"]\n  5 -> 7 [size =\"15462400\"]\n  5 -> 8 [size =\"15462400\"]\n  6 [size=\"107113813\", alpha=\"0.06\", expect_size=\"32134144\"] \n  6 -> 9 [size =\"32134144\"]\n  7 [size=\"129713493\", alpha=\"0.11\", expect_size=\"38914048\"] \n  8 [size=\"169325227\", alpha=\"0.00\", expect_size=\"50797568\"] \n  8 -> 10 [size =\"50797568\"]\n  9 [size=\"101273600\", alpha=\"0.16\", expect_size=\"30382080\"] \n  10 [size=\"103860907\", alpha=\"0.13\", expect_size=\"31158272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72200192\", alpha=\"0.10\", expect_size=\"36100096\"] \n  1 -> 2 [size =\"36100096\"]\n  2 [size=\"85307392\", alpha=\"0.13\", expect_size=\"42653696\"] \n  2 -> 3 [size =\"42653696\"]\n  3 [size=\"103430144\", alpha=\"0.19\", expect_size=\"51715072\"] \n  3 -> 4 [size =\"51715072\"]\n  4 [size=\"98748416\", alpha=\"0.09\", expect_size=\"49374208\"] \n  4 -> 5 [size =\"49374208\"]\n  5 [size=\"73457664\", alpha=\"0.05\", expect_size=\"36728832\"] \n  5 -> 6 [size =\"36728832\"]\n  6 [size=\"46313472\", alpha=\"0.06\", expect_size=\"23156736\"] \n  6 -> 7 [size =\"23156736\"]\n  7 [size=\"10774528\", alpha=\"0.09\", expect_size=\"5387264\"] \n  7 -> 8 [size =\"5387264\"]\n  8 [size=\"100360192\", alpha=\"0.11\", expect_size=\"50180096\"] \n  8 -> 9 [size =\"50180096\"]\n  9 [size=\"21309440\", alpha=\"0.06\", expect_size=\"10654720\"] \n  9 -> 10 [size =\"10654720\"]\n  10 [size=\"80766976\", alpha=\"0.00\", expect_size=\"40383488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92536320\", alpha=\"0.06\", expect_size=\"37014528\"] \n  1 -> 2 [size =\"37014528\"]\n  2 [size=\"59934720\", alpha=\"0.01\", expect_size=\"23973888\"] \n  2 -> 3 [size =\"23973888\"]\n  3 [size=\"113244160\", alpha=\"0.06\", expect_size=\"45297664\"] \n  3 -> 4 [size =\"45297664\"]\n  4 [size=\"43773440\", alpha=\"0.01\", expect_size=\"17509376\"] \n  4 -> 5 [size =\"17509376\"]\n  5 [size=\"80844800\", alpha=\"0.04\", expect_size=\"32337920\"] \n  5 -> 6 [size =\"32337920\"]\n  6 [size=\"53207040\", alpha=\"0.14\", expect_size=\"21282816\"] \n  6 -> 7 [size =\"21282816\"]\n  7 [size=\"35548160\", alpha=\"0.14\", expect_size=\"14219264\"] \n  7 -> 8 [size =\"14219264\"]\n  8 [size=\"114176000\", alpha=\"0.08\", expect_size=\"45670400\"] \n  8 -> 9 [size =\"45670400\"]\n  9 [size=\"90951680\", alpha=\"0.12\", expect_size=\"36380672\"] \n  9 -> 10 [size =\"36380672\"]\n  10 [size=\"73584640\", alpha=\"0.18\", expect_size=\"29433856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28620800\", alpha=\"0.03\", expect_size=\"8586240\"] \n  1 -> 6 [size =\"8586240\"]\n  1 -> 7 [size =\"8586240\"]\n  1 -> 8 [size =\"8586240\"]\n  1 -> 9 [size =\"8586240\"]\n  2 [size=\"73830400\", alpha=\"0.06\", expect_size=\"22149120\"] \n  2 -> 6 [size =\"22149120\"]\n  2 -> 7 [size =\"22149120\"]\n  2 -> 8 [size =\"22149120\"]\n  2 -> 9 [size =\"22149120\"]\n  3 [size=\"54152533\", alpha=\"0.11\", expect_size=\"16245760\"] \n  3 -> 6 [size =\"16245760\"]\n  3 -> 7 [size =\"16245760\"]\n  3 -> 8 [size =\"16245760\"]\n  3 -> 9 [size =\"16245760\"]\n  4 [size=\"22801067\", alpha=\"0.01\", expect_size=\"6840320\"] \n  4 -> 6 [size =\"6840320\"]\n  4 -> 7 [size =\"6840320\"]\n  4 -> 8 [size =\"6840320\"]\n  4 -> 9 [size =\"6840320\"]\n  5 [size=\"152299520\", alpha=\"0.14\", expect_size=\"45689856\"] \n  5 -> 6 [size =\"45689856\"]\n  5 -> 7 [size =\"45689856\"]\n  5 -> 8 [size =\"45689856\"]\n  5 -> 9 [size =\"45689856\"]\n  6 [size=\"145773227\", alpha=\"0.01\", expect_size=\"43731968\"] \n  6 -> 10 [size =\"43731968\"]\n  7 [size=\"101512533\", alpha=\"0.18\", expect_size=\"30453760\"] \n  7 -> 10 [size =\"30453760\"]\n  8 [size=\"73096533\", alpha=\"0.20\", expect_size=\"21928960\"] \n  8 -> 10 [size =\"21928960\"]\n  9 [size=\"54176427\", alpha=\"0.01\", expect_size=\"16252928\"] \n  9 -> 10 [size =\"16252928\"]\n  10 [size=\"66508800\", alpha=\"0.08\", expect_size=\"19952640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137250133\", alpha=\"0.19\", expect_size=\"41175040\"] \n  1 -> 4 [size =\"41175040\"]\n  1 -> 5 [size =\"41175040\"]\n  2 [size=\"65508693\", alpha=\"0.20\", expect_size=\"19652608\"] \n  3 [size=\"75830613\", alpha=\"0.15\", expect_size=\"22749184\"] \n  3 -> 4 [size =\"22749184\"]\n  3 -> 5 [size =\"22749184\"]\n  4 [size=\"93429760\", alpha=\"0.04\", expect_size=\"28028928\"] \n  4 -> 6 [size =\"28028928\"]\n  4 -> 7 [size =\"28028928\"]\n  5 [size=\"42840747\", alpha=\"0.18\", expect_size=\"12852224\"] \n  5 -> 7 [size =\"12852224\"]\n  6 [size=\"120872960\", alpha=\"0.19\", expect_size=\"36261888\"] \n  7 [size=\"69741227\", alpha=\"0.10\", expect_size=\"20922368\"] \n  7 -> 8 [size =\"20922368\"]\n  7 -> 9 [size =\"20922368\"]\n  7 -> 10 [size =\"20922368\"]\n  8 [size=\"159754240\", alpha=\"0.06\", expect_size=\"47926272\"] \n  9 [size=\"38362453\", alpha=\"0.03\", expect_size=\"11508736\"] \n  10 [size=\"147251200\", alpha=\"0.04\", expect_size=\"44175360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44373333\", alpha=\"0.06\", expect_size=\"13312000\"] \n  1 -> 8 [size =\"13312000\"]\n  2 [size=\"121733120\", alpha=\"0.17\", expect_size=\"36519936\"] \n  2 -> 6 [size =\"36519936\"]\n  3 [size=\"41987413\", alpha=\"0.17\", expect_size=\"12596224\"] \n  3 -> 6 [size =\"12596224\"]\n  3 -> 7 [size =\"12596224\"]\n  3 -> 8 [size =\"12596224\"]\n  4 [size=\"102341973\", alpha=\"0.00\", expect_size=\"30702592\"] \n  4 -> 6 [size =\"30702592\"]\n  4 -> 8 [size =\"30702592\"]\n  4 -> 9 [size =\"30702592\"]\n  5 [size=\"120405333\", alpha=\"0.00\", expect_size=\"36121600\"] \n  5 -> 9 [size =\"36121600\"]\n  6 [size=\"61661867\", alpha=\"0.08\", expect_size=\"18498560\"] \n  7 [size=\"104727893\", alpha=\"0.05\", expect_size=\"31418368\"] \n  7 -> 10 [size =\"31418368\"]\n  8 [size=\"17646933\", alpha=\"0.01\", expect_size=\"5294080\"] \n  9 [size=\"50595840\", alpha=\"0.03\", expect_size=\"15178752\"] \n  9 -> 10 [size =\"15178752\"]\n  10 [size=\"157767680\", alpha=\"0.11\", expect_size=\"47330304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96617813\", alpha=\"0.18\", expect_size=\"28985344\"] \n  1 -> 4 [size =\"28985344\"]\n  2 [size=\"94839467\", alpha=\"0.16\", expect_size=\"28451840\"] \n  2 -> 4 [size =\"28451840\"]\n  2 -> 5 [size =\"28451840\"]\n  3 [size=\"82937173\", alpha=\"0.17\", expect_size=\"24881152\"] \n  3 -> 4 [size =\"24881152\"]\n  3 -> 5 [size =\"24881152\"]\n  4 [size=\"127320747\", alpha=\"0.01\", expect_size=\"38196224\"] \n  4 -> 7 [size =\"38196224\"]\n  4 -> 8 [size =\"38196224\"]\n  5 [size=\"79967573\", alpha=\"0.03\", expect_size=\"23990272\"] \n  5 -> 6 [size =\"23990272\"]\n  5 -> 7 [size =\"23990272\"]\n  5 -> 8 [size =\"23990272\"]\n  6 [size=\"145786880\", alpha=\"0.13\", expect_size=\"43736064\"] \n  6 -> 10 [size =\"43736064\"]\n  7 [size=\"120692053\", alpha=\"0.19\", expect_size=\"36207616\"] \n  7 -> 9 [size =\"36207616\"]\n  8 [size=\"70382933\", alpha=\"0.02\", expect_size=\"21114880\"] \n  8 -> 9 [size =\"21114880\"]\n  9 [size=\"99211947\", alpha=\"0.12\", expect_size=\"29763584\"] \n  10 [size=\"40741547\", alpha=\"0.08\", expect_size=\"12222464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123422720\", alpha=\"0.03\", expect_size=\"49369088\"] \n  1 -> 2 [size =\"49369088\"]\n  2 [size=\"48762880\", alpha=\"0.10\", expect_size=\"19505152\"] \n  2 -> 3 [size =\"19505152\"]\n  3 [size=\"43932160\", alpha=\"0.11\", expect_size=\"17572864\"] \n  3 -> 4 [size =\"17572864\"]\n  4 [size=\"29721600\", alpha=\"0.05\", expect_size=\"11888640\"] \n  4 -> 5 [size =\"11888640\"]\n  5 [size=\"79636480\", alpha=\"0.08\", expect_size=\"31854592\"] \n  5 -> 6 [size =\"31854592\"]\n  6 [size=\"107248640\", alpha=\"0.10\", expect_size=\"42899456\"] \n  6 -> 7 [size =\"42899456\"]\n  7 [size=\"96734720\", alpha=\"0.17\", expect_size=\"38693888\"] \n  7 -> 8 [size =\"38693888\"]\n  8 [size=\"78604800\", alpha=\"0.05\", expect_size=\"31441920\"] \n  8 -> 9 [size =\"31441920\"]\n  9 [size=\"13775360\", alpha=\"0.18\", expect_size=\"5510144\"] \n  9 -> 10 [size =\"5510144\"]\n  10 [size=\"85232640\", alpha=\"0.09\", expect_size=\"34093056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24660480\", alpha=\"0.03\", expect_size=\"9864192\"] \n  1 -> 3 [size =\"9864192\"]\n  1 -> 4 [size =\"9864192\"]\n  2 [size=\"33241600\", alpha=\"0.09\", expect_size=\"13296640\"] \n  3 [size=\"110894080\", alpha=\"0.18\", expect_size=\"44357632\"] \n  3 -> 5 [size =\"44357632\"]\n  3 -> 6 [size =\"44357632\"]\n  3 -> 7 [size =\"44357632\"]\n  4 [size=\"127065600\", alpha=\"0.02\", expect_size=\"50826240\"] \n  4 -> 5 [size =\"50826240\"]\n  5 [size=\"22205440\", alpha=\"0.19\", expect_size=\"8882176\"] \n  5 -> 8 [size =\"8882176\"]\n  6 [size=\"111654400\", alpha=\"0.19\", expect_size=\"44661760\"] \n  7 [size=\"68485120\", alpha=\"0.05\", expect_size=\"27394048\"] \n  7 -> 8 [size =\"27394048\"]\n  7 -> 9 [size =\"27394048\"]\n  8 [size=\"48266240\", alpha=\"0.18\", expect_size=\"19306496\"] \n  9 [size=\"73280000\", alpha=\"0.19\", expect_size=\"29312000\"] \n  9 -> 10 [size =\"29312000\"]\n  10 [size=\"117109760\", alpha=\"0.01\", expect_size=\"46843904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54808576\", alpha=\"0.05\", expect_size=\"27404288\"] \n  1 -> 2 [size =\"27404288\"]\n  2 [size=\"11014144\", alpha=\"0.17\", expect_size=\"5507072\"] \n  2 -> 3 [size =\"5507072\"]\n  3 [size=\"56119296\", alpha=\"0.06\", expect_size=\"28059648\"] \n  3 -> 4 [size =\"28059648\"]\n  4 [size=\"84432896\", alpha=\"0.10\", expect_size=\"42216448\"] \n  4 -> 5 [size =\"42216448\"]\n  5 [size=\"45412352\", alpha=\"0.07\", expect_size=\"22706176\"] \n  5 -> 6 [size =\"22706176\"]\n  6 [size=\"30257152\", alpha=\"0.05\", expect_size=\"15128576\"] \n  6 -> 7 [size =\"15128576\"]\n  7 [size=\"64509952\", alpha=\"0.06\", expect_size=\"32254976\"] \n  7 -> 8 [size =\"32254976\"]\n  8 [size=\"90818560\", alpha=\"0.18\", expect_size=\"45409280\"] \n  8 -> 9 [size =\"45409280\"]\n  9 [size=\"18108416\", alpha=\"0.09\", expect_size=\"9054208\"] \n  9 -> 10 [size =\"9054208\"]\n  10 [size=\"69838848\", alpha=\"0.14\", expect_size=\"34919424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93706240\", alpha=\"0.01\", expect_size=\"28111872\"] \n  1 -> 2 [size =\"28111872\"]\n  2 [size=\"112510293\", alpha=\"0.15\", expect_size=\"33753088\"] \n  2 -> 3 [size =\"33753088\"]\n  3 [size=\"149691733\", alpha=\"0.04\", expect_size=\"44907520\"] \n  3 -> 4 [size =\"44907520\"]\n  4 [size=\"111783253\", alpha=\"0.12\", expect_size=\"33534976\"] \n  4 -> 5 [size =\"33534976\"]\n  5 [size=\"59351040\", alpha=\"0.16\", expect_size=\"17805312\"] \n  5 -> 6 [size =\"17805312\"]\n  6 [size=\"120722773\", alpha=\"0.13\", expect_size=\"36216832\"] \n  6 -> 7 [size =\"36216832\"]\n  7 [size=\"134362453\", alpha=\"0.00\", expect_size=\"40308736\"] \n  7 -> 8 [size =\"40308736\"]\n  8 [size=\"54497280\", alpha=\"0.04\", expect_size=\"16349184\"] \n  8 -> 9 [size =\"16349184\"]\n  9 [size=\"33392640\", alpha=\"0.14\", expect_size=\"10017792\"] \n  9 -> 10 [size =\"10017792\"]\n  10 [size=\"153801387\", alpha=\"0.02\", expect_size=\"46140416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121943040\", alpha=\"0.19\", expect_size=\"48777216\"] \n  1 -> 3 [size =\"48777216\"]\n  1 -> 4 [size =\"48777216\"]\n  2 [size=\"13493760\", alpha=\"0.10\", expect_size=\"5397504\"] \n  2 -> 3 [size =\"5397504\"]\n  2 -> 4 [size =\"5397504\"]\n  3 [size=\"48486400\", alpha=\"0.04\", expect_size=\"19394560\"] \n  3 -> 5 [size =\"19394560\"]\n  3 -> 6 [size =\"19394560\"]\n  4 [size=\"121062400\", alpha=\"0.14\", expect_size=\"48424960\"] \n  4 -> 6 [size =\"48424960\"]\n  5 [size=\"32230400\", alpha=\"0.09\", expect_size=\"12892160\"] \n  5 -> 7 [size =\"12892160\"]\n  5 -> 8 [size =\"12892160\"]\n  5 -> 9 [size =\"12892160\"]\n  6 [size=\"103795200\", alpha=\"0.04\", expect_size=\"41518080\"] \n  6 -> 7 [size =\"41518080\"]\n  6 -> 8 [size =\"41518080\"]\n  6 -> 9 [size =\"41518080\"]\n  7 [size=\"95111680\", alpha=\"0.02\", expect_size=\"38044672\"] \n  7 -> 10 [size =\"38044672\"]\n  8 [size=\"78620160\", alpha=\"0.09\", expect_size=\"31448064\"] \n  9 [size=\"59292160\", alpha=\"0.13\", expect_size=\"23716864\"] \n  9 -> 10 [size =\"23716864\"]\n  10 [size=\"100528640\", alpha=\"0.03\", expect_size=\"40211456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50216960\", alpha=\"0.04\", expect_size=\"15065088\"] \n  1 -> 4 [size =\"15065088\"]\n  2 [size=\"100608000\", alpha=\"0.07\", expect_size=\"30182400\"] \n  2 -> 5 [size =\"30182400\"]\n  3 [size=\"21562027\", alpha=\"0.03\", expect_size=\"6468608\"] \n  3 -> 4 [size =\"6468608\"]\n  4 [size=\"67130027\", alpha=\"0.02\", expect_size=\"20139008\"] \n  4 -> 6 [size =\"20139008\"]\n  4 -> 7 [size =\"20139008\"]\n  5 [size=\"107543893\", alpha=\"0.10\", expect_size=\"32263168\"] \n  5 -> 7 [size =\"32263168\"]\n  6 [size=\"136079360\", alpha=\"0.06\", expect_size=\"40823808\"] \n  6 -> 8 [size =\"40823808\"]\n  6 -> 9 [size =\"40823808\"]\n  6 -> 10 [size =\"40823808\"]\n  7 [size=\"31074987\", alpha=\"0.04\", expect_size=\"9322496\"] \n  7 -> 8 [size =\"9322496\"]\n  7 -> 10 [size =\"9322496\"]\n  8 [size=\"30822400\", alpha=\"0.19\", expect_size=\"9246720\"] \n  9 [size=\"37478400\", alpha=\"0.00\", expect_size=\"11243520\"] \n  10 [size=\"26292907\", alpha=\"0.08\", expect_size=\"7887872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75714560\", alpha=\"0.02\", expect_size=\"37857280\"] \n  1 -> 2 [size =\"37857280\"]\n  2 [size=\"57606144\", alpha=\"0.10\", expect_size=\"28803072\"] \n  2 -> 3 [size =\"28803072\"]\n  3 [size=\"77563904\", alpha=\"0.04\", expect_size=\"38781952\"] \n  3 -> 4 [size =\"38781952\"]\n  4 [size=\"65439744\", alpha=\"0.13\", expect_size=\"32719872\"] \n  4 -> 5 [size =\"32719872\"]\n  5 [size=\"55646208\", alpha=\"0.03\", expect_size=\"27823104\"] \n  5 -> 6 [size =\"27823104\"]\n  6 [size=\"85735424\", alpha=\"0.02\", expect_size=\"42867712\"] \n  6 -> 7 [size =\"42867712\"]\n  7 [size=\"93001728\", alpha=\"0.09\", expect_size=\"46500864\"] \n  7 -> 8 [size =\"46500864\"]\n  8 [size=\"34836480\", alpha=\"0.15\", expect_size=\"17418240\"] \n  8 -> 9 [size =\"17418240\"]\n  9 [size=\"29546496\", alpha=\"0.17\", expect_size=\"14773248\"] \n  9 -> 10 [size =\"14773248\"]\n  10 [size=\"83873792\", alpha=\"0.06\", expect_size=\"41936896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21048320\", alpha=\"0.19\", expect_size=\"8419328\"] \n  1 -> 3 [size =\"8419328\"]\n  1 -> 4 [size =\"8419328\"]\n  2 [size=\"25835520\", alpha=\"0.10\", expect_size=\"10334208\"] \n  2 -> 3 [size =\"10334208\"]\n  2 -> 4 [size =\"10334208\"]\n  3 [size=\"16893440\", alpha=\"0.09\", expect_size=\"6757376\"] \n  3 -> 6 [size =\"6757376\"]\n  3 -> 7 [size =\"6757376\"]\n  4 [size=\"60753920\", alpha=\"0.20\", expect_size=\"24301568\"] \n  4 -> 5 [size =\"24301568\"]\n  4 -> 6 [size =\"24301568\"]\n  4 -> 7 [size =\"24301568\"]\n  5 [size=\"62359040\", alpha=\"0.07\", expect_size=\"24943616\"] \n  5 -> 8 [size =\"24943616\"]\n  5 -> 9 [size =\"24943616\"]\n  6 [size=\"19699200\", alpha=\"0.08\", expect_size=\"7879680\"] \n  6 -> 8 [size =\"7879680\"]\n  6 -> 10 [size =\"7879680\"]\n  7 [size=\"127065600\", alpha=\"0.03\", expect_size=\"50826240\"] \n  7 -> 8 [size =\"50826240\"]\n  7 -> 9 [size =\"50826240\"]\n  8 [size=\"14574080\", alpha=\"0.16\", expect_size=\"5829632\"] \n  9 [size=\"45580800\", alpha=\"0.14\", expect_size=\"18232320\"] \n  10 [size=\"61931520\", alpha=\"0.04\", expect_size=\"24772608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63102976\", alpha=\"0.05\", expect_size=\"31551488\"] \n  1 -> 2 [size =\"31551488\"]\n  2 [size=\"11915264\", alpha=\"0.18\", expect_size=\"5957632\"] \n  2 -> 3 [size =\"5957632\"]\n  3 [size=\"37834752\", alpha=\"0.05\", expect_size=\"18917376\"] \n  3 -> 4 [size =\"18917376\"]\n  4 [size=\"47316992\", alpha=\"0.10\", expect_size=\"23658496\"] \n  4 -> 5 [size =\"23658496\"]\n  5 [size=\"46753792\", alpha=\"0.02\", expect_size=\"23376896\"] \n  5 -> 6 [size =\"23376896\"]\n  6 [size=\"103538688\", alpha=\"0.14\", expect_size=\"51769344\"] \n  6 -> 7 [size =\"51769344\"]\n  7 [size=\"55601152\", alpha=\"0.09\", expect_size=\"27800576\"] \n  7 -> 8 [size =\"27800576\"]\n  8 [size=\"89442304\", alpha=\"0.11\", expect_size=\"44721152\"] \n  8 -> 9 [size =\"44721152\"]\n  9 [size=\"35272704\", alpha=\"0.06\", expect_size=\"17636352\"] \n  9 -> 10 [size =\"17636352\"]\n  10 [size=\"96897024\", alpha=\"0.03\", expect_size=\"48448512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108786347\", alpha=\"0.11\", expect_size=\"32635904\"] \n  1 -> 2 [size =\"32635904\"]\n  2 [size=\"36925440\", alpha=\"0.07\", expect_size=\"11077632\"] \n  2 -> 3 [size =\"11077632\"]\n  3 [size=\"121142613\", alpha=\"0.03\", expect_size=\"36342784\"] \n  3 -> 4 [size =\"36342784\"]\n  4 [size=\"130938880\", alpha=\"0.13\", expect_size=\"39281664\"] \n  4 -> 5 [size =\"39281664\"]\n  5 [size=\"143144960\", alpha=\"0.02\", expect_size=\"42943488\"] \n  5 -> 6 [size =\"42943488\"]\n  6 [size=\"167772160\", alpha=\"0.12\", expect_size=\"50331648\"] \n  6 -> 7 [size =\"50331648\"]\n  7 [size=\"123845973\", alpha=\"0.04\", expect_size=\"37153792\"] \n  7 -> 8 [size =\"37153792\"]\n  8 [size=\"136106667\", alpha=\"0.08\", expect_size=\"40832000\"] \n  8 -> 9 [size =\"40832000\"]\n  9 [size=\"147002027\", alpha=\"0.02\", expect_size=\"44100608\"] \n  9 -> 10 [size =\"44100608\"]\n  10 [size=\"49268053\", alpha=\"0.11\", expect_size=\"14780416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129010347\", alpha=\"0.03\", expect_size=\"38703104\"] \n  1 -> 4 [size =\"38703104\"]\n  1 -> 6 [size =\"38703104\"]\n  2 [size=\"111858347\", alpha=\"0.11\", expect_size=\"33557504\"] \n  2 -> 4 [size =\"33557504\"]\n  2 -> 5 [size =\"33557504\"]\n  2 -> 6 [size =\"33557504\"]\n  2 -> 7 [size =\"33557504\"]\n  3 [size=\"98041173\", alpha=\"0.08\", expect_size=\"29412352\"] \n  3 -> 4 [size =\"29412352\"]\n  3 -> 6 [size =\"29412352\"]\n  4 [size=\"152832000\", alpha=\"0.17\", expect_size=\"45849600\"] \n  4 -> 8 [size =\"45849600\"]\n  4 -> 9 [size =\"45849600\"]\n  4 -> 10 [size =\"45849600\"]\n  5 [size=\"136529920\", alpha=\"0.06\", expect_size=\"40958976\"] \n  5 -> 8 [size =\"40958976\"]\n  5 -> 9 [size =\"40958976\"]\n  6 [size=\"20800853\", alpha=\"0.10\", expect_size=\"6240256\"] \n  6 -> 8 [size =\"6240256\"]\n  6 -> 9 [size =\"6240256\"]\n  7 [size=\"54507520\", alpha=\"0.18\", expect_size=\"16352256\"] \n  7 -> 8 [size =\"16352256\"]\n  7 -> 9 [size =\"16352256\"]\n  7 -> 10 [size =\"16352256\"]\n  8 [size=\"102010880\", alpha=\"0.03\", expect_size=\"30603264\"] \n  9 [size=\"173755733\", alpha=\"0.10\", expect_size=\"52126720\"] \n  10 [size=\"83886080\", alpha=\"0.20\", expect_size=\"25165824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24825173\", alpha=\"0.16\", expect_size=\"7447552\"] \n  1 -> 4 [size =\"7447552\"]\n  2 [size=\"92487680\", alpha=\"0.04\", expect_size=\"27746304\"] \n  2 -> 5 [size =\"27746304\"]\n  2 -> 6 [size =\"27746304\"]\n  3 [size=\"36136960\", alpha=\"0.03\", expect_size=\"10841088\"] \n  4 [size=\"69591040\", alpha=\"0.14\", expect_size=\"20877312\"] \n  4 -> 7 [size =\"20877312\"]\n  4 -> 8 [size =\"20877312\"]\n  4 -> 9 [size =\"20877312\"]\n  5 [size=\"78277973\", alpha=\"0.18\", expect_size=\"23483392\"] \n  6 [size=\"154374827\", alpha=\"0.17\", expect_size=\"46312448\"] \n  6 -> 8 [size =\"46312448\"]\n  7 [size=\"113827840\", alpha=\"0.00\", expect_size=\"34148352\"] \n  7 -> 10 [size =\"34148352\"]\n  8 [size=\"155255467\", alpha=\"0.08\", expect_size=\"46576640\"] \n  9 [size=\"104065707\", alpha=\"0.03\", expect_size=\"31219712\"] \n  10 [size=\"27368107\", alpha=\"0.02\", expect_size=\"8210432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76718080\", alpha=\"0.18\", expect_size=\"30687232\"] \n  1 -> 8 [size =\"30687232\"]\n  1 -> 10 [size =\"30687232\"]\n  2 [size=\"74055680\", alpha=\"0.01\", expect_size=\"29622272\"] \n  2 -> 8 [size =\"29622272\"]\n  2 -> 9 [size =\"29622272\"]\n  2 -> 10 [size =\"29622272\"]\n  3 [size=\"105492480\", alpha=\"0.03\", expect_size=\"42196992\"] \n  3 -> 8 [size =\"42196992\"]\n  4 [size=\"21363200\", alpha=\"0.19\", expect_size=\"8545280\"] \n  4 -> 8 [size =\"8545280\"]\n  5 [size=\"107678720\", alpha=\"0.05\", expect_size=\"43071488\"] \n  5 -> 8 [size =\"43071488\"]\n  5 -> 10 [size =\"43071488\"]\n  6 [size=\"115328000\", alpha=\"0.04\", expect_size=\"46131200\"] \n  6 -> 8 [size =\"46131200\"]\n  6 -> 9 [size =\"46131200\"]\n  7 [size=\"105963520\", alpha=\"0.00\", expect_size=\"42385408\"] \n  8 [size=\"59916800\", alpha=\"0.17\", expect_size=\"23966720\"] \n  9 [size=\"130918400\", alpha=\"0.15\", expect_size=\"52367360\"] \n  10 [size=\"47616000\", alpha=\"0.09\", expect_size=\"19046400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73467904\", alpha=\"0.06\", expect_size=\"36733952\"] \n  1 -> 2 [size =\"36733952\"]\n  2 [size=\"62482432\", alpha=\"0.01\", expect_size=\"31241216\"] \n  2 -> 3 [size =\"31241216\"]\n  3 [size=\"69703680\", alpha=\"0.04\", expect_size=\"34851840\"] \n  3 -> 4 [size =\"34851840\"]\n  4 [size=\"13744128\", alpha=\"0.12\", expect_size=\"6872064\"] \n  4 -> 5 [size =\"6872064\"]\n  5 [size=\"52318208\", alpha=\"0.09\", expect_size=\"26159104\"] \n  5 -> 6 [size =\"26159104\"]\n  6 [size=\"87468032\", alpha=\"0.04\", expect_size=\"43734016\"] \n  6 -> 7 [size =\"43734016\"]\n  7 [size=\"52649984\", alpha=\"0.03\", expect_size=\"26324992\"] \n  7 -> 8 [size =\"26324992\"]\n  8 [size=\"47941632\", alpha=\"0.06\", expect_size=\"23970816\"] \n  8 -> 9 [size =\"23970816\"]\n  9 [size=\"13604864\", alpha=\"0.05\", expect_size=\"6802432\"] \n  9 -> 10 [size =\"6802432\"]\n  10 [size=\"86642688\", alpha=\"0.13\", expect_size=\"43321344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45373440\", alpha=\"0.01\", expect_size=\"13612032\"] \n  1 -> 2 [size =\"13612032\"]\n  2 [size=\"118712320\", alpha=\"0.09\", expect_size=\"35613696\"] \n  2 -> 3 [size =\"35613696\"]\n  3 [size=\"171219627\", alpha=\"0.11\", expect_size=\"51365888\"] \n  3 -> 4 [size =\"51365888\"]\n  4 [size=\"149930667\", alpha=\"0.13\", expect_size=\"44979200\"] \n  4 -> 5 [size =\"44979200\"]\n  5 [size=\"69283840\", alpha=\"0.08\", expect_size=\"20785152\"] \n  5 -> 6 [size =\"20785152\"]\n  6 [size=\"135543467\", alpha=\"0.11\", expect_size=\"40663040\"] \n  6 -> 7 [size =\"40663040\"]\n  7 [size=\"112339627\", alpha=\"0.07\", expect_size=\"33701888\"] \n  7 -> 8 [size =\"33701888\"]\n  8 [size=\"58985813\", alpha=\"0.02\", expect_size=\"17695744\"] \n  8 -> 9 [size =\"17695744\"]\n  9 [size=\"22667947\", alpha=\"0.10\", expect_size=\"6800384\"] \n  9 -> 10 [size =\"6800384\"]\n  10 [size=\"20664320\", alpha=\"0.00\", expect_size=\"6199296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127129600\", alpha=\"0.18\", expect_size=\"38138880\"] \n  1 -> 2 [size =\"38138880\"]\n  2 [size=\"56593067\", alpha=\"0.17\", expect_size=\"16977920\"] \n  2 -> 3 [size =\"16977920\"]\n  3 [size=\"71434240\", alpha=\"0.19\", expect_size=\"21430272\"] \n  3 -> 4 [size =\"21430272\"]\n  4 [size=\"44103680\", alpha=\"0.06\", expect_size=\"13231104\"] \n  4 -> 5 [size =\"13231104\"]\n  5 [size=\"55214080\", alpha=\"0.07\", expect_size=\"16564224\"] \n  5 -> 6 [size =\"16564224\"]\n  6 [size=\"130085547\", alpha=\"0.09\", expect_size=\"39025664\"] \n  6 -> 7 [size =\"39025664\"]\n  7 [size=\"142830933\", alpha=\"0.12\", expect_size=\"42849280\"] \n  7 -> 8 [size =\"42849280\"]\n  8 [size=\"45318827\", alpha=\"0.19\", expect_size=\"13595648\"] \n  8 -> 9 [size =\"13595648\"]\n  9 [size=\"110165333\", alpha=\"0.16\", expect_size=\"33049600\"] \n  9 -> 10 [size =\"33049600\"]\n  10 [size=\"64989867\", alpha=\"0.18\", expect_size=\"19496960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168645973\", alpha=\"0.18\", expect_size=\"50593792\"] \n  1 -> 8 [size =\"50593792\"]\n  1 -> 9 [size =\"50593792\"]\n  2 [size=\"62163627\", alpha=\"0.19\", expect_size=\"18649088\"] \n  3 [size=\"53364053\", alpha=\"0.04\", expect_size=\"16009216\"] \n  3 -> 9 [size =\"16009216\"]\n  4 [size=\"153763840\", alpha=\"0.07\", expect_size=\"46129152\"] \n  5 [size=\"54623573\", alpha=\"0.04\", expect_size=\"16387072\"] \n  5 -> 8 [size =\"16387072\"]\n  6 [size=\"93385387\", alpha=\"0.10\", expect_size=\"28015616\"] \n  6 -> 9 [size =\"28015616\"]\n  6 -> 10 [size =\"28015616\"]\n  7 [size=\"75410773\", alpha=\"0.03\", expect_size=\"22623232\"] \n  7 -> 9 [size =\"22623232\"]\n  7 -> 10 [size =\"22623232\"]\n  8 [size=\"75427840\", alpha=\"0.03\", expect_size=\"22628352\"] \n  9 [size=\"124412587\", alpha=\"0.20\", expect_size=\"37323776\"] \n  10 [size=\"144356693\", alpha=\"0.12\", expect_size=\"43307008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83319467\", alpha=\"0.08\", expect_size=\"24995840\"] \n  1 -> 8 [size =\"24995840\"]\n  2 [size=\"29702827\", alpha=\"0.16\", expect_size=\"8910848\"] \n  2 -> 9 [size =\"8910848\"]\n  2 -> 10 [size =\"8910848\"]\n  3 [size=\"22756693\", alpha=\"0.14\", expect_size=\"6827008\"] \n  3 -> 9 [size =\"6827008\"]\n  4 [size=\"61723307\", alpha=\"0.12\", expect_size=\"18516992\"] \n  4 -> 8 [size =\"18516992\"]\n  4 -> 10 [size =\"18516992\"]\n  5 [size=\"45038933\", alpha=\"0.02\", expect_size=\"13511680\"] \n  5 -> 8 [size =\"13511680\"]\n  6 [size=\"91269120\", alpha=\"0.18\", expect_size=\"27380736\"] \n  7 [size=\"99942400\", alpha=\"0.08\", expect_size=\"29982720\"] \n  7 -> 9 [size =\"29982720\"]\n  7 -> 10 [size =\"29982720\"]\n  8 [size=\"125754027\", alpha=\"0.05\", expect_size=\"37726208\"] \n  9 [size=\"25299627\", alpha=\"0.01\", expect_size=\"7589888\"] \n  10 [size=\"42420907\", alpha=\"0.13\", expect_size=\"12726272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17045504\", alpha=\"0.05\", expect_size=\"8522752\"] \n  1 -> 7 [size =\"8522752\"]\n  1 -> 8 [size =\"8522752\"]\n  1 -> 10 [size =\"8522752\"]\n  2 [size=\"79308800\", alpha=\"0.00\", expect_size=\"39654400\"] \n  2 -> 8 [size =\"39654400\"]\n  2 -> 9 [size =\"39654400\"]\n  2 -> 10 [size =\"39654400\"]\n  3 [size=\"42868736\", alpha=\"0.05\", expect_size=\"21434368\"] \n  4 [size=\"28872704\", alpha=\"0.09\", expect_size=\"14436352\"] \n  4 -> 8 [size =\"14436352\"]\n  4 -> 9 [size =\"14436352\"]\n  5 [size=\"31678464\", alpha=\"0.02\", expect_size=\"15839232\"] \n  6 [size=\"59283456\", alpha=\"0.16\", expect_size=\"29641728\"] \n  6 -> 7 [size =\"29641728\"]\n  6 -> 9 [size =\"29641728\"]\n  6 -> 10 [size =\"29641728\"]\n  7 [size=\"59545600\", alpha=\"0.01\", expect_size=\"29772800\"] \n  8 [size=\"68859904\", alpha=\"0.03\", expect_size=\"34429952\"] \n  9 [size=\"20729856\", alpha=\"0.04\", expect_size=\"10364928\"] \n  10 [size=\"52486144\", alpha=\"0.10\", expect_size=\"26243072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89010176\", alpha=\"0.13\", expect_size=\"44505088\"] \n  1 -> 5 [size =\"44505088\"]\n  1 -> 6 [size =\"44505088\"]\n  2 [size=\"46155776\", alpha=\"0.09\", expect_size=\"23077888\"] \n  2 -> 4 [size =\"23077888\"]\n  2 -> 5 [size =\"23077888\"]\n  3 [size=\"92497920\", alpha=\"0.10\", expect_size=\"46248960\"] \n  3 -> 4 [size =\"46248960\"]\n  3 -> 6 [size =\"46248960\"]\n  3 -> 7 [size =\"46248960\"]\n  4 [size=\"84498432\", alpha=\"0.14\", expect_size=\"42249216\"] \n  4 -> 9 [size =\"42249216\"]\n  5 [size=\"21311488\", alpha=\"0.11\", expect_size=\"10655744\"] \n  5 -> 8 [size =\"10655744\"]\n  5 -> 9 [size =\"10655744\"]\n  6 [size=\"68806656\", alpha=\"0.13\", expect_size=\"34403328\"] \n  7 [size=\"20910080\", alpha=\"0.07\", expect_size=\"10455040\"] \n  7 -> 8 [size =\"10455040\"]\n  7 -> 10 [size =\"10455040\"]\n  8 [size=\"78483456\", alpha=\"0.00\", expect_size=\"39241728\"] \n  9 [size=\"70285312\", alpha=\"0.11\", expect_size=\"35142656\"] \n  10 [size=\"38182912\", alpha=\"0.13\", expect_size=\"19091456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45803520\", alpha=\"0.20\", expect_size=\"18321408\"] \n  2 [size=\"84958720\", alpha=\"0.14\", expect_size=\"33983488\"] \n  3 [size=\"20298240\", alpha=\"0.05\", expect_size=\"8119296\"] \n  3 -> 10 [size =\"8119296\"]\n  4 [size=\"111900160\", alpha=\"0.03\", expect_size=\"44760064\"] \n  4 -> 7 [size =\"44760064\"]\n  4 -> 8 [size =\"44760064\"]\n  4 -> 9 [size =\"44760064\"]\n  4 -> 10 [size =\"44760064\"]\n  5 [size=\"93921280\", alpha=\"0.16\", expect_size=\"37568512\"] \n  5 -> 9 [size =\"37568512\"]\n  6 [size=\"80005120\", alpha=\"0.19\", expect_size=\"32002048\"] \n  6 -> 8 [size =\"32002048\"]\n  7 [size=\"48596480\", alpha=\"0.17\", expect_size=\"19438592\"] \n  8 [size=\"24064000\", alpha=\"0.11\", expect_size=\"9625600\"] \n  9 [size=\"123453440\", alpha=\"0.11\", expect_size=\"49381376\"] \n  10 [size=\"94000640\", alpha=\"0.16\", expect_size=\"37600256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141400747\", alpha=\"0.08\", expect_size=\"42420224\"] \n  1 -> 2 [size =\"42420224\"]\n  2 [size=\"137270613\", alpha=\"0.09\", expect_size=\"41181184\"] \n  2 -> 3 [size =\"41181184\"]\n  3 [size=\"41598293\", alpha=\"0.18\", expect_size=\"12479488\"] \n  3 -> 4 [size =\"12479488\"]\n  4 [size=\"140294827\", alpha=\"0.16\", expect_size=\"42088448\"] \n  4 -> 5 [size =\"42088448\"]\n  5 [size=\"58364587\", alpha=\"0.13\", expect_size=\"17509376\"] \n  5 -> 6 [size =\"17509376\"]\n  6 [size=\"174660267\", alpha=\"0.18\", expect_size=\"52398080\"] \n  6 -> 7 [size =\"52398080\"]\n  7 [size=\"129269760\", alpha=\"0.05\", expect_size=\"38780928\"] \n  7 -> 8 [size =\"38780928\"]\n  8 [size=\"123190613\", alpha=\"0.13\", expect_size=\"36957184\"] \n  8 -> 9 [size =\"36957184\"]\n  9 [size=\"140571307\", alpha=\"0.04\", expect_size=\"42171392\"] \n  9 -> 10 [size =\"42171392\"]\n  10 [size=\"112209920\", alpha=\"0.07\", expect_size=\"33662976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103829504\", alpha=\"0.18\", expect_size=\"51914752\"] \n  1 -> 4 [size =\"51914752\"]\n  1 -> 5 [size =\"51914752\"]\n  2 [size=\"84019200\", alpha=\"0.16\", expect_size=\"42009600\"] \n  2 -> 3 [size =\"42009600\"]\n  3 [size=\"55865344\", alpha=\"0.07\", expect_size=\"27932672\"] \n  4 [size=\"24338432\", alpha=\"0.10\", expect_size=\"12169216\"] \n  4 -> 6 [size =\"12169216\"]\n  4 -> 7 [size =\"12169216\"]\n  5 [size=\"21706752\", alpha=\"0.02\", expect_size=\"10853376\"] \n  6 [size=\"65644544\", alpha=\"0.13\", expect_size=\"32822272\"] \n  6 -> 9 [size =\"32822272\"]\n  7 [size=\"64368640\", alpha=\"0.19\", expect_size=\"32184320\"] \n  7 -> 8 [size =\"32184320\"]\n  8 [size=\"82911232\", alpha=\"0.08\", expect_size=\"41455616\"] \n  9 [size=\"51384320\", alpha=\"0.12\", expect_size=\"25692160\"] \n  9 -> 10 [size =\"25692160\"]\n  10 [size=\"10532864\", alpha=\"0.17\", expect_size=\"5266432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23546880\", alpha=\"0.02\", expect_size=\"9418752\"] \n  1 -> 7 [size =\"9418752\"]\n  1 -> 8 [size =\"9418752\"]\n  1 -> 9 [size =\"9418752\"]\n  1 -> 10 [size =\"9418752\"]\n  2 [size=\"122662400\", alpha=\"0.19\", expect_size=\"49064960\"] \n  2 -> 7 [size =\"49064960\"]\n  2 -> 8 [size =\"49064960\"]\n  2 -> 9 [size =\"49064960\"]\n  2 -> 10 [size =\"49064960\"]\n  3 [size=\"58841600\", alpha=\"0.06\", expect_size=\"23536640\"] \n  4 [size=\"107673600\", alpha=\"0.19\", expect_size=\"43069440\"] \n  4 -> 7 [size =\"43069440\"]\n  4 -> 8 [size =\"43069440\"]\n  4 -> 9 [size =\"43069440\"]\n  5 [size=\"86993920\", alpha=\"0.08\", expect_size=\"34797568\"] \n  5 -> 7 [size =\"34797568\"]\n  6 [size=\"29972480\", alpha=\"0.18\", expect_size=\"11988992\"] \n  6 -> 9 [size =\"11988992\"]\n  6 -> 10 [size =\"11988992\"]\n  7 [size=\"39498240\", alpha=\"0.11\", expect_size=\"15799296\"] \n  8 [size=\"108239360\", alpha=\"0.08\", expect_size=\"43295744\"] \n  9 [size=\"34183680\", alpha=\"0.01\", expect_size=\"13673472\"] \n  10 [size=\"78085120\", alpha=\"0.09\", expect_size=\"31234048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36167680\", alpha=\"0.09\", expect_size=\"14467072\"] \n  1 -> 7 [size =\"14467072\"]\n  1 -> 8 [size =\"14467072\"]\n  2 [size=\"57026560\", alpha=\"0.01\", expect_size=\"22810624\"] \n  2 -> 6 [size =\"22810624\"]\n  2 -> 7 [size =\"22810624\"]\n  2 -> 9 [size =\"22810624\"]\n  2 -> 10 [size =\"22810624\"]\n  3 [size=\"72204800\", alpha=\"0.17\", expect_size=\"28881920\"] \n  3 -> 7 [size =\"28881920\"]\n  3 -> 7 [size =\"28881920\"]\n  3 -> 9 [size =\"28881920\"]\n  3 -> 10 [size =\"28881920\"]\n  4 [size=\"87206400\", alpha=\"0.11\", expect_size=\"34882560\"] \n  4 -> 9 [size =\"34882560\"]\n  5 [size=\"85386240\", alpha=\"0.05\", expect_size=\"34154496\"] \n  6 [size=\"33781760\", alpha=\"0.05\", expect_size=\"13512704\"] \n  7 [size=\"57093120\", alpha=\"0.20\", expect_size=\"22837248\"] \n  8 [size=\"78456320\", alpha=\"0.08\", expect_size=\"31382528\"] \n  9 [size=\"25438720\", alpha=\"0.15\", expect_size=\"10175488\"] \n  10 [size=\"35064320\", alpha=\"0.08\", expect_size=\"14025728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114736640\", alpha=\"0.12\", expect_size=\"45894656\"] \n  1 -> 2 [size =\"45894656\"]\n  2 [size=\"92556800\", alpha=\"0.03\", expect_size=\"37022720\"] \n  2 -> 3 [size =\"37022720\"]\n  3 [size=\"84328960\", alpha=\"0.09\", expect_size=\"33731584\"] \n  3 -> 4 [size =\"33731584\"]\n  4 [size=\"80701440\", alpha=\"0.15\", expect_size=\"32280576\"] \n  4 -> 5 [size =\"32280576\"]\n  5 [size=\"116897280\", alpha=\"0.19\", expect_size=\"46758912\"] \n  5 -> 6 [size =\"46758912\"]\n  6 [size=\"52170240\", alpha=\"0.19\", expect_size=\"20868096\"] \n  6 -> 7 [size =\"20868096\"]\n  7 [size=\"65991680\", alpha=\"0.04\", expect_size=\"26396672\"] \n  7 -> 8 [size =\"26396672\"]\n  8 [size=\"45726720\", alpha=\"0.20\", expect_size=\"18290688\"] \n  8 -> 9 [size =\"18290688\"]\n  9 [size=\"65925120\", alpha=\"0.06\", expect_size=\"26370048\"] \n  9 -> 10 [size =\"26370048\"]\n  10 [size=\"31452160\", alpha=\"0.08\", expect_size=\"12580864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86847488\", alpha=\"0.15\", expect_size=\"43423744\"] \n  1 -> 4 [size =\"43423744\"]\n  1 -> 8 [size =\"43423744\"]\n  1 -> 9 [size =\"43423744\"]\n  2 [size=\"97964032\", alpha=\"0.14\", expect_size=\"48982016\"] \n  2 -> 4 [size =\"48982016\"]\n  2 -> 6 [size =\"48982016\"]\n  2 -> 7 [size =\"48982016\"]\n  2 -> 9 [size =\"48982016\"]\n  3 [size=\"62214144\", alpha=\"0.05\", expect_size=\"31107072\"] \n  3 -> 4 [size =\"31107072\"]\n  3 -> 5 [size =\"31107072\"]\n  3 -> 9 [size =\"31107072\"]\n  4 [size=\"94957568\", alpha=\"0.11\", expect_size=\"47478784\"] \n  4 -> 10 [size =\"47478784\"]\n  5 [size=\"14327808\", alpha=\"0.15\", expect_size=\"7163904\"] \n  6 [size=\"40026112\", alpha=\"0.03\", expect_size=\"20013056\"] \n  7 [size=\"91465728\", alpha=\"0.11\", expect_size=\"45732864\"] \n  7 -> 10 [size =\"45732864\"]\n  8 [size=\"97427456\", alpha=\"0.19\", expect_size=\"48713728\"] \n  9 [size=\"43929600\", alpha=\"0.19\", expect_size=\"21964800\"] \n  9 -> 10 [size =\"21964800\"]\n  10 [size=\"48056320\", alpha=\"0.06\", expect_size=\"24028160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53551104\", alpha=\"0.14\", expect_size=\"26775552\"] \n  1 -> 6 [size =\"26775552\"]\n  1 -> 8 [size =\"26775552\"]\n  2 [size=\"72517632\", alpha=\"0.17\", expect_size=\"36258816\"] \n  2 -> 6 [size =\"36258816\"]\n  2 -> 7 [size =\"36258816\"]\n  3 [size=\"79128576\", alpha=\"0.02\", expect_size=\"39564288\"] \n  3 -> 4 [size =\"39564288\"]\n  3 -> 5 [size =\"39564288\"]\n  3 -> 8 [size =\"39564288\"]\n  4 [size=\"77436928\", alpha=\"0.11\", expect_size=\"38718464\"] \n  5 [size=\"55201792\", alpha=\"0.15\", expect_size=\"27600896\"] \n  5 -> 10 [size =\"27600896\"]\n  6 [size=\"30857216\", alpha=\"0.06\", expect_size=\"15428608\"] \n  6 -> 10 [size =\"15428608\"]\n  7 [size=\"56338432\", alpha=\"0.06\", expect_size=\"28169216\"] \n  7 -> 9 [size =\"28169216\"]\n  7 -> 10 [size =\"28169216\"]\n  8 [size=\"95715328\", alpha=\"0.07\", expect_size=\"47857664\"] \n  8 -> 9 [size =\"47857664\"]\n  9 [size=\"83331072\", alpha=\"0.12\", expect_size=\"41665536\"] \n  10 [size=\"25683968\", alpha=\"0.06\", expect_size=\"12841984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54862507\", alpha=\"0.14\", expect_size=\"16458752\"] \n  1 -> 2 [size =\"16458752\"]\n  2 [size=\"51558400\", alpha=\"0.07\", expect_size=\"15467520\"] \n  2 -> 3 [size =\"15467520\"]\n  3 [size=\"166819840\", alpha=\"0.10\", expect_size=\"50045952\"] \n  3 -> 4 [size =\"50045952\"]\n  4 [size=\"134553600\", alpha=\"0.18\", expect_size=\"40366080\"] \n  4 -> 5 [size =\"40366080\"]\n  5 [size=\"144459093\", alpha=\"0.02\", expect_size=\"43337728\"] \n  5 -> 6 [size =\"43337728\"]\n  6 [size=\"54521173\", alpha=\"0.08\", expect_size=\"16356352\"] \n  6 -> 7 [size =\"16356352\"]\n  7 [size=\"59852800\", alpha=\"0.08\", expect_size=\"17955840\"] \n  7 -> 8 [size =\"17955840\"]\n  8 [size=\"110472533\", alpha=\"0.19\", expect_size=\"33141760\"] \n  8 -> 9 [size =\"33141760\"]\n  9 [size=\"67993600\", alpha=\"0.09\", expect_size=\"20398080\"] \n  9 -> 10 [size =\"20398080\"]\n  10 [size=\"150787413\", alpha=\"0.02\", expect_size=\"45236224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114851840\", alpha=\"0.09\", expect_size=\"34455552\"] \n  1 -> 10 [size =\"34455552\"]\n  2 [size=\"39796053\", alpha=\"0.08\", expect_size=\"11938816\"] \n  3 [size=\"88040107\", alpha=\"0.18\", expect_size=\"26412032\"] \n  4 [size=\"163430400\", alpha=\"0.10\", expect_size=\"49029120\"] \n  5 [size=\"25535147\", alpha=\"0.14\", expect_size=\"7660544\"] \n  6 [size=\"142725120\", alpha=\"0.11\", expect_size=\"42817536\"] \n  7 [size=\"168495787\", alpha=\"0.12\", expect_size=\"50548736\"] \n  7 -> 10 [size =\"50548736\"]\n  8 [size=\"101314560\", alpha=\"0.04\", expect_size=\"30394368\"] \n  9 [size=\"63832747\", alpha=\"0.10\", expect_size=\"19149824\"] \n  9 -> 10 [size =\"19149824\"]\n  10 [size=\"50691413\", alpha=\"0.10\", expect_size=\"15207424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99571712\", alpha=\"0.06\", expect_size=\"49785856\"] \n  1 -> 2 [size =\"49785856\"]\n  2 [size=\"66701312\", alpha=\"0.16\", expect_size=\"33350656\"] \n  2 -> 3 [size =\"33350656\"]\n  3 [size=\"16723968\", alpha=\"0.20\", expect_size=\"8361984\"] \n  3 -> 4 [size =\"8361984\"]\n  4 [size=\"46252032\", alpha=\"0.04\", expect_size=\"23126016\"] \n  4 -> 5 [size =\"23126016\"]\n  5 [size=\"59146240\", alpha=\"0.16\", expect_size=\"29573120\"] \n  5 -> 6 [size =\"29573120\"]\n  6 [size=\"27580416\", alpha=\"0.11\", expect_size=\"13790208\"] \n  6 -> 7 [size =\"13790208\"]\n  7 [size=\"77168640\", alpha=\"0.12\", expect_size=\"38584320\"] \n  7 -> 8 [size =\"38584320\"]\n  8 [size=\"95844352\", alpha=\"0.07\", expect_size=\"47922176\"] \n  8 -> 9 [size =\"47922176\"]\n  9 [size=\"70838272\", alpha=\"0.08\", expect_size=\"35419136\"] \n  9 -> 10 [size =\"35419136\"]\n  10 [size=\"33019904\", alpha=\"0.10\", expect_size=\"16509952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90982400\", alpha=\"0.02\", expect_size=\"27294720\"] \n  1 -> 2 [size =\"27294720\"]\n  2 [size=\"49633280\", alpha=\"0.15\", expect_size=\"14889984\"] \n  2 -> 3 [size =\"14889984\"]\n  3 [size=\"85978453\", alpha=\"0.08\", expect_size=\"25793536\"] \n  3 -> 4 [size =\"25793536\"]\n  4 [size=\"129160533\", alpha=\"0.16\", expect_size=\"38748160\"] \n  4 -> 5 [size =\"38748160\"]\n  5 [size=\"85121707\", alpha=\"0.06\", expect_size=\"25536512\"] \n  5 -> 6 [size =\"25536512\"]\n  6 [size=\"119756800\", alpha=\"0.19\", expect_size=\"35927040\"] \n  6 -> 7 [size =\"35927040\"]\n  7 [size=\"159696213\", alpha=\"0.17\", expect_size=\"47908864\"] \n  7 -> 8 [size =\"47908864\"]\n  8 [size=\"146640213\", alpha=\"0.04\", expect_size=\"43992064\"] \n  8 -> 9 [size =\"43992064\"]\n  9 [size=\"48820907\", alpha=\"0.05\", expect_size=\"14646272\"] \n  9 -> 10 [size =\"14646272\"]\n  10 [size=\"21254827\", alpha=\"0.18\", expect_size=\"6376448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128711680\", alpha=\"0.08\", expect_size=\"51484672\"] \n  1 -> 2 [size =\"51484672\"]\n  2 [size=\"107509760\", alpha=\"0.13\", expect_size=\"43003904\"] \n  2 -> 3 [size =\"43003904\"]\n  3 [size=\"47226880\", alpha=\"0.15\", expect_size=\"18890752\"] \n  3 -> 4 [size =\"18890752\"]\n  4 [size=\"74700800\", alpha=\"0.08\", expect_size=\"29880320\"] \n  4 -> 5 [size =\"29880320\"]\n  5 [size=\"51038720\", alpha=\"0.15\", expect_size=\"20415488\"] \n  5 -> 6 [size =\"20415488\"]\n  6 [size=\"23923200\", alpha=\"0.17\", expect_size=\"9569280\"] \n  6 -> 7 [size =\"9569280\"]\n  7 [size=\"80158720\", alpha=\"0.02\", expect_size=\"32063488\"] \n  7 -> 8 [size =\"32063488\"]\n  8 [size=\"36439040\", alpha=\"0.10\", expect_size=\"14575616\"] \n  8 -> 9 [size =\"14575616\"]\n  9 [size=\"37990400\", alpha=\"0.20\", expect_size=\"15196160\"] \n  9 -> 10 [size =\"15196160\"]\n  10 [size=\"42790400\", alpha=\"0.15\", expect_size=\"17116160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57874432\", alpha=\"0.14\", expect_size=\"28937216\"] \n  1 -> 2 [size =\"28937216\"]\n  2 [size=\"96149504\", alpha=\"0.11\", expect_size=\"48074752\"] \n  2 -> 3 [size =\"48074752\"]\n  3 [size=\"72509440\", alpha=\"0.13\", expect_size=\"36254720\"] \n  3 -> 4 [size =\"36254720\"]\n  4 [size=\"43671552\", alpha=\"0.11\", expect_size=\"21835776\"] \n  4 -> 5 [size =\"21835776\"]\n  5 [size=\"32600064\", alpha=\"0.14\", expect_size=\"16300032\"] \n  5 -> 6 [size =\"16300032\"]\n  6 [size=\"63240192\", alpha=\"0.15\", expect_size=\"31620096\"] \n  6 -> 7 [size =\"31620096\"]\n  7 [size=\"35407872\", alpha=\"0.07\", expect_size=\"17703936\"] \n  7 -> 8 [size =\"17703936\"]\n  8 [size=\"21098496\", alpha=\"0.17\", expect_size=\"10549248\"] \n  8 -> 9 [size =\"10549248\"]\n  9 [size=\"35827712\", alpha=\"0.06\", expect_size=\"17913856\"] \n  9 -> 10 [size =\"17913856\"]\n  10 [size=\"13744128\", alpha=\"0.03\", expect_size=\"6872064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98826240\", alpha=\"0.10\", expect_size=\"29647872\"] \n  1 -> 2 [size =\"29647872\"]\n  2 [size=\"18575360\", alpha=\"0.10\", expect_size=\"5572608\"] \n  2 -> 3 [size =\"5572608\"]\n  3 [size=\"19950933\", alpha=\"0.01\", expect_size=\"5985280\"] \n  3 -> 4 [size =\"5985280\"]\n  4 [size=\"122876587\", alpha=\"0.03\", expect_size=\"36862976\"] \n  4 -> 5 [size =\"36862976\"]\n  5 [size=\"38570667\", alpha=\"0.13\", expect_size=\"11571200\"] \n  5 -> 6 [size =\"11571200\"]\n  6 [size=\"97853440\", alpha=\"0.12\", expect_size=\"29356032\"] \n  6 -> 7 [size =\"29356032\"]\n  7 [size=\"86923947\", alpha=\"0.11\", expect_size=\"26077184\"] \n  7 -> 8 [size =\"26077184\"]\n  8 [size=\"96962560\", alpha=\"0.14\", expect_size=\"29088768\"] \n  8 -> 9 [size =\"29088768\"]\n  9 [size=\"143295147\", alpha=\"0.01\", expect_size=\"42988544\"] \n  9 -> 10 [size =\"42988544\"]\n  10 [size=\"62423040\", alpha=\"0.01\", expect_size=\"18726912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134993920\", alpha=\"0.03\", expect_size=\"40498176\"] \n  1 -> 5 [size =\"40498176\"]\n  1 -> 6 [size =\"40498176\"]\n  1 -> 8 [size =\"40498176\"]\n  1 -> 9 [size =\"40498176\"]\n  1 -> 10 [size =\"40498176\"]\n  2 [size=\"62672213\", alpha=\"0.19\", expect_size=\"18801664\"] \n  2 -> 8 [size =\"18801664\"]\n  2 -> 10 [size =\"18801664\"]\n  3 [size=\"34658987\", alpha=\"0.01\", expect_size=\"10397696\"] \n  3 -> 5 [size =\"10397696\"]\n  3 -> 6 [size =\"10397696\"]\n  3 -> 10 [size =\"10397696\"]\n  4 [size=\"74792960\", alpha=\"0.02\", expect_size=\"22437888\"] \n  4 -> 6 [size =\"22437888\"]\n  4 -> 6 [size =\"22437888\"]\n  4 -> 7 [size =\"22437888\"]\n  4 -> 8 [size =\"22437888\"]\n  4 -> 10 [size =\"22437888\"]\n  5 [size=\"87149227\", alpha=\"0.07\", expect_size=\"26144768\"] \n  6 [size=\"168239787\", alpha=\"0.20\", expect_size=\"50471936\"] \n  7 [size=\"67447467\", alpha=\"0.11\", expect_size=\"20234240\"] \n  8 [size=\"170598400\", alpha=\"0.09\", expect_size=\"51179520\"] \n  9 [size=\"64081920\", alpha=\"0.02\", expect_size=\"19224576\"] \n  10 [size=\"89582933\", alpha=\"0.08\", expect_size=\"26874880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91400192\", alpha=\"0.10\", expect_size=\"45700096\"] \n  1 -> 8 [size =\"45700096\"]\n  1 -> 9 [size =\"45700096\"]\n  2 [size=\"32632832\", alpha=\"0.11\", expect_size=\"16316416\"] \n  2 -> 10 [size =\"16316416\"]\n  3 [size=\"79069184\", alpha=\"0.01\", expect_size=\"39534592\"] \n  3 -> 10 [size =\"39534592\"]\n  4 [size=\"28956672\", alpha=\"0.04\", expect_size=\"14478336\"] \n  4 -> 8 [size =\"14478336\"]\n  4 -> 9 [size =\"14478336\"]\n  5 [size=\"51527680\", alpha=\"0.05\", expect_size=\"25763840\"] \n  6 [size=\"104595456\", alpha=\"0.06\", expect_size=\"52297728\"] \n  6 -> 8 [size =\"52297728\"]\n  7 [size=\"55250944\", alpha=\"0.19\", expect_size=\"27625472\"] \n  7 -> 8 [size =\"27625472\"]\n  7 -> 10 [size =\"27625472\"]\n  8 [size=\"32174080\", alpha=\"0.09\", expect_size=\"16087040\"] \n  9 [size=\"32430080\", alpha=\"0.17\", expect_size=\"16215040\"] \n  10 [size=\"20492288\", alpha=\"0.07\", expect_size=\"10246144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169192107\", alpha=\"0.18\", expect_size=\"50757632\"] \n  1 -> 8 [size =\"50757632\"]\n  2 [size=\"124221440\", alpha=\"0.03\", expect_size=\"37266432\"] \n  3 [size=\"71058773\", alpha=\"0.12\", expect_size=\"21317632\"] \n  4 [size=\"21118293\", alpha=\"0.07\", expect_size=\"6335488\"] \n  4 -> 9 [size =\"6335488\"]\n  5 [size=\"162587307\", alpha=\"0.02\", expect_size=\"48776192\"] \n  6 [size=\"22388053\", alpha=\"0.03\", expect_size=\"6716416\"] \n  6 -> 8 [size =\"6716416\"]\n  6 -> 9 [size =\"6716416\"]\n  7 [size=\"37249707\", alpha=\"0.07\", expect_size=\"11174912\"] \n  7 -> 10 [size =\"11174912\"]\n  8 [size=\"171625813\", alpha=\"0.08\", expect_size=\"51487744\"] \n  9 [size=\"42905600\", alpha=\"0.00\", expect_size=\"12871680\"] \n  10 [size=\"56040107\", alpha=\"0.15\", expect_size=\"16812032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19511296\", alpha=\"0.05\", expect_size=\"9755648\"] \n  1 -> 2 [size =\"9755648\"]\n  2 [size=\"97714176\", alpha=\"0.13\", expect_size=\"48857088\"] \n  2 -> 3 [size =\"48857088\"]\n  3 [size=\"102244352\", alpha=\"0.12\", expect_size=\"51122176\"] \n  3 -> 4 [size =\"51122176\"]\n  4 [size=\"54779904\", alpha=\"0.01\", expect_size=\"27389952\"] \n  4 -> 5 [size =\"27389952\"]\n  5 [size=\"35229696\", alpha=\"0.20\", expect_size=\"17614848\"] \n  5 -> 6 [size =\"17614848\"]\n  6 [size=\"90920960\", alpha=\"0.14\", expect_size=\"45460480\"] \n  6 -> 7 [size =\"45460480\"]\n  7 [size=\"28434432\", alpha=\"0.20\", expect_size=\"14217216\"] \n  7 -> 8 [size =\"14217216\"]\n  8 [size=\"69265408\", alpha=\"0.01\", expect_size=\"34632704\"] \n  8 -> 9 [size =\"34632704\"]\n  9 [size=\"103028736\", alpha=\"0.13\", expect_size=\"51514368\"] \n  9 -> 10 [size =\"51514368\"]\n  10 [size=\"44232704\", alpha=\"0.12\", expect_size=\"22116352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55531520\", alpha=\"0.09\", expect_size=\"22212608\"] \n  1 -> 7 [size =\"22212608\"]\n  2 [size=\"99906560\", alpha=\"0.05\", expect_size=\"39962624\"] \n  3 [size=\"115929600\", alpha=\"0.18\", expect_size=\"46371840\"] \n  3 -> 6 [size =\"46371840\"]\n  3 -> 8 [size =\"46371840\"]\n  4 [size=\"72435200\", alpha=\"0.03\", expect_size=\"28974080\"] \n  4 -> 6 [size =\"28974080\"]\n  4 -> 7 [size =\"28974080\"]\n  4 -> 9 [size =\"28974080\"]\n  5 [size=\"41351680\", alpha=\"0.00\", expect_size=\"16540672\"] \n  5 -> 6 [size =\"16540672\"]\n  5 -> 7 [size =\"16540672\"]\n  5 -> 8 [size =\"16540672\"]\n  6 [size=\"55285760\", alpha=\"0.06\", expect_size=\"22114304\"] \n  7 [size=\"126451200\", alpha=\"0.13\", expect_size=\"50580480\"] \n  8 [size=\"74513920\", alpha=\"0.07\", expect_size=\"29805568\"] \n  8 -> 10 [size =\"29805568\"]\n  9 [size=\"99745280\", alpha=\"0.08\", expect_size=\"39898112\"] \n  9 -> 10 [size =\"39898112\"]\n  10 [size=\"83875840\", alpha=\"0.12\", expect_size=\"33550336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33904640\", alpha=\"0.01\", expect_size=\"10171392\"] \n  1 -> 2 [size =\"10171392\"]\n  2 [size=\"98604373\", alpha=\"0.11\", expect_size=\"29581312\"] \n  2 -> 3 [size =\"29581312\"]\n  3 [size=\"146629973\", alpha=\"0.09\", expect_size=\"43988992\"] \n  3 -> 4 [size =\"43988992\"]\n  4 [size=\"139509760\", alpha=\"0.03\", expect_size=\"41852928\"] \n  4 -> 5 [size =\"41852928\"]\n  5 [size=\"119285760\", alpha=\"0.19\", expect_size=\"35785728\"] \n  5 -> 6 [size =\"35785728\"]\n  6 [size=\"141154987\", alpha=\"0.11\", expect_size=\"42346496\"] \n  6 -> 7 [size =\"42346496\"]\n  7 [size=\"71857493\", alpha=\"0.04\", expect_size=\"21557248\"] \n  7 -> 8 [size =\"21557248\"]\n  8 [size=\"173056000\", alpha=\"0.17\", expect_size=\"51916800\"] \n  8 -> 9 [size =\"51916800\"]\n  9 [size=\"171601920\", alpha=\"0.08\", expect_size=\"51480576\"] \n  9 -> 10 [size =\"51480576\"]\n  10 [size=\"28514987\", alpha=\"0.09\", expect_size=\"8554496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139830613\", alpha=\"0.10\", expect_size=\"41949184\"] \n  1 -> 7 [size =\"41949184\"]\n  1 -> 9 [size =\"41949184\"]\n  2 [size=\"96208213\", alpha=\"0.18\", expect_size=\"28862464\"] \n  2 -> 7 [size =\"28862464\"]\n  3 [size=\"44212907\", alpha=\"0.13\", expect_size=\"13263872\"] \n  3 -> 8 [size =\"13263872\"]\n  4 [size=\"173226667\", alpha=\"0.03\", expect_size=\"51968000\"] \n  4 -> 6 [size =\"51968000\"]\n  4 -> 8 [size =\"51968000\"]\n  4 -> 10 [size =\"51968000\"]\n  5 [size=\"153856000\", alpha=\"0.04\", expect_size=\"46156800\"] \n  5 -> 7 [size =\"46156800\"]\n  5 -> 8 [size =\"46156800\"]\n  6 [size=\"34884267\", alpha=\"0.02\", expect_size=\"10465280\"] \n  7 [size=\"104376320\", alpha=\"0.11\", expect_size=\"31312896\"] \n  8 [size=\"127245653\", alpha=\"0.05\", expect_size=\"38173696\"] \n  9 [size=\"160532480\", alpha=\"0.01\", expect_size=\"48159744\"] \n  10 [size=\"114244267\", alpha=\"0.19\", expect_size=\"34273280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155620693\", alpha=\"0.07\", expect_size=\"46686208\"] \n  2 [size=\"164771840\", alpha=\"0.10\", expect_size=\"49431552\"] \n  3 [size=\"139260587\", alpha=\"0.13\", expect_size=\"41778176\"] \n  3 -> 10 [size =\"41778176\"]\n  4 [size=\"144285013\", alpha=\"0.15\", expect_size=\"43285504\"] \n  4 -> 8 [size =\"43285504\"]\n  4 -> 10 [size =\"43285504\"]\n  5 [size=\"149777067\", alpha=\"0.01\", expect_size=\"44933120\"] \n  5 -> 9 [size =\"44933120\"]\n  6 [size=\"37686613\", alpha=\"0.19\", expect_size=\"11305984\"] \n  6 -> 9 [size =\"11305984\"]\n  7 [size=\"125149867\", alpha=\"0.09\", expect_size=\"37544960\"] \n  7 -> 9 [size =\"37544960\"]\n  8 [size=\"84353707\", alpha=\"0.14\", expect_size=\"25306112\"] \n  9 [size=\"66447360\", alpha=\"0.04\", expect_size=\"19934208\"] \n  10 [size=\"131013973\", alpha=\"0.16\", expect_size=\"39304192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73777152\", alpha=\"0.19\", expect_size=\"36888576\"] \n  1 -> 2 [size =\"36888576\"]\n  2 [size=\"42358784\", alpha=\"0.07\", expect_size=\"21179392\"] \n  2 -> 3 [size =\"21179392\"]\n  3 [size=\"97722368\", alpha=\"0.13\", expect_size=\"48861184\"] \n  3 -> 4 [size =\"48861184\"]\n  4 [size=\"82524160\", alpha=\"0.00\", expect_size=\"41262080\"] \n  4 -> 5 [size =\"41262080\"]\n  5 [size=\"46725120\", alpha=\"0.17\", expect_size=\"23362560\"] \n  5 -> 6 [size =\"23362560\"]\n  6 [size=\"28047360\", alpha=\"0.15\", expect_size=\"14023680\"] \n  6 -> 7 [size =\"14023680\"]\n  7 [size=\"51038208\", alpha=\"0.18\", expect_size=\"25519104\"] \n  7 -> 8 [size =\"25519104\"]\n  8 [size=\"79292416\", alpha=\"0.18\", expect_size=\"39646208\"] \n  8 -> 9 [size =\"39646208\"]\n  9 [size=\"71575552\", alpha=\"0.16\", expect_size=\"35787776\"] \n  9 -> 10 [size =\"35787776\"]\n  10 [size=\"49367040\", alpha=\"0.14\", expect_size=\"24683520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28618752\", alpha=\"0.15\", expect_size=\"14309376\"] \n  1 -> 2 [size =\"14309376\"]\n  2 [size=\"99598336\", alpha=\"0.05\", expect_size=\"49799168\"] \n  2 -> 3 [size =\"49799168\"]\n  3 [size=\"85137408\", alpha=\"0.00\", expect_size=\"42568704\"] \n  3 -> 4 [size =\"42568704\"]\n  4 [size=\"19064832\", alpha=\"0.02\", expect_size=\"9532416\"] \n  4 -> 5 [size =\"9532416\"]\n  5 [size=\"38223872\", alpha=\"0.06\", expect_size=\"19111936\"] \n  5 -> 6 [size =\"19111936\"]\n  6 [size=\"24580096\", alpha=\"0.13\", expect_size=\"12290048\"] \n  6 -> 7 [size =\"12290048\"]\n  7 [size=\"68966400\", alpha=\"0.13\", expect_size=\"34483200\"] \n  7 -> 8 [size =\"34483200\"]\n  8 [size=\"23308288\", alpha=\"0.15\", expect_size=\"11654144\"] \n  8 -> 9 [size =\"11654144\"]\n  9 [size=\"75997184\", alpha=\"0.11\", expect_size=\"37998592\"] \n  9 -> 10 [size =\"37998592\"]\n  10 [size=\"27516928\", alpha=\"0.01\", expect_size=\"13758464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38440960\", alpha=\"0.01\", expect_size=\"15376384\"] \n  1 -> 2 [size =\"15376384\"]\n  2 [size=\"19281920\", alpha=\"0.14\", expect_size=\"7712768\"] \n  2 -> 3 [size =\"7712768\"]\n  3 [size=\"31969280\", alpha=\"0.18\", expect_size=\"12787712\"] \n  3 -> 4 [size =\"12787712\"]\n  4 [size=\"121832960\", alpha=\"0.05\", expect_size=\"48733184\"] \n  4 -> 5 [size =\"48733184\"]\n  5 [size=\"96680960\", alpha=\"0.05\", expect_size=\"38672384\"] \n  5 -> 6 [size =\"38672384\"]\n  6 [size=\"27164160\", alpha=\"0.11\", expect_size=\"10865664\"] \n  6 -> 7 [size =\"10865664\"]\n  7 [size=\"109696000\", alpha=\"0.08\", expect_size=\"43878400\"] \n  7 -> 8 [size =\"43878400\"]\n  8 [size=\"78607360\", alpha=\"0.12\", expect_size=\"31442944\"] \n  8 -> 9 [size =\"31442944\"]\n  9 [size=\"102540800\", alpha=\"0.17\", expect_size=\"41016320\"] \n  9 -> 10 [size =\"41016320\"]\n  10 [size=\"127751680\", alpha=\"0.10\", expect_size=\"51100672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69884587\", alpha=\"0.04\", expect_size=\"20965376\"] \n  1 -> 7 [size =\"20965376\"]\n  2 [size=\"162795520\", alpha=\"0.14\", expect_size=\"48838656\"] \n  2 -> 6 [size =\"48838656\"]\n  3 [size=\"32686080\", alpha=\"0.02\", expect_size=\"9805824\"] \n  3 -> 5 [size =\"9805824\"]\n  3 -> 6 [size =\"9805824\"]\n  4 [size=\"150050133\", alpha=\"0.15\", expect_size=\"45015040\"] \n  4 -> 7 [size =\"45015040\"]\n  4 -> 8 [size =\"45015040\"]\n  5 [size=\"31416320\", alpha=\"0.15\", expect_size=\"9424896\"] \n  5 -> 9 [size =\"9424896\"]\n  5 -> 10 [size =\"9424896\"]\n  6 [size=\"60235093\", alpha=\"0.15\", expect_size=\"18070528\"] \n  7 [size=\"67048107\", alpha=\"0.18\", expect_size=\"20114432\"] \n  8 [size=\"126518613\", alpha=\"0.20\", expect_size=\"37955584\"] \n  8 -> 9 [size =\"37955584\"]\n  9 [size=\"80472747\", alpha=\"0.15\", expect_size=\"24141824\"] \n  10 [size=\"30747307\", alpha=\"0.19\", expect_size=\"9224192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42923520\", alpha=\"0.03\", expect_size=\"17169408\"] \n  1 -> 2 [size =\"17169408\"]\n  2 [size=\"43694080\", alpha=\"0.00\", expect_size=\"17477632\"] \n  2 -> 3 [size =\"17477632\"]\n  3 [size=\"117598720\", alpha=\"0.14\", expect_size=\"47039488\"] \n  3 -> 4 [size =\"47039488\"]\n  4 [size=\"80107520\", alpha=\"0.19\", expect_size=\"32043008\"] \n  4 -> 5 [size =\"32043008\"]\n  5 [size=\"74204160\", alpha=\"0.04\", expect_size=\"29681664\"] \n  5 -> 6 [size =\"29681664\"]\n  6 [size=\"17072640\", alpha=\"0.16\", expect_size=\"6829056\"] \n  6 -> 7 [size =\"6829056\"]\n  7 [size=\"34913280\", alpha=\"0.17\", expect_size=\"13965312\"] \n  7 -> 8 [size =\"13965312\"]\n  8 [size=\"113743360\", alpha=\"0.15\", expect_size=\"45497344\"] \n  8 -> 9 [size =\"45497344\"]\n  9 [size=\"52544000\", alpha=\"0.18\", expect_size=\"21017600\"] \n  9 -> 10 [size =\"21017600\"]\n  10 [size=\"70853120\", alpha=\"0.05\", expect_size=\"28341248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58877952\", alpha=\"0.11\", expect_size=\"29438976\"] \n  1 -> 8 [size =\"29438976\"]\n  1 -> 9 [size =\"29438976\"]\n  1 -> 10 [size =\"29438976\"]\n  2 [size=\"66119680\", alpha=\"0.11\", expect_size=\"33059840\"] \n  2 -> 9 [size =\"33059840\"]\n  2 -> 10 [size =\"33059840\"]\n  2 -> 10 [size =\"33059840\"]\n  3 [size=\"99561472\", alpha=\"0.05\", expect_size=\"49780736\"] \n  4 [size=\"34396160\", alpha=\"0.17\", expect_size=\"17198080\"] \n  4 -> 8 [size =\"17198080\"]\n  4 -> 9 [size =\"17198080\"]\n  5 [size=\"33662976\", alpha=\"0.05\", expect_size=\"16831488\"] \n  5 -> 8 [size =\"16831488\"]\n  5 -> 9 [size =\"16831488\"]\n  6 [size=\"86538240\", alpha=\"0.18\", expect_size=\"43269120\"] \n  6 -> 7 [size =\"43269120\"]\n  6 -> 8 [size =\"43269120\"]\n  6 -> 9 [size =\"43269120\"]\n  7 [size=\"16177152\", alpha=\"0.18\", expect_size=\"8088576\"] \n  8 [size=\"47052800\", alpha=\"0.09\", expect_size=\"23526400\"] \n  9 [size=\"89679872\", alpha=\"0.07\", expect_size=\"44839936\"] \n  10 [size=\"57737216\", alpha=\"0.15\", expect_size=\"28868608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27072000\", alpha=\"0.19\", expect_size=\"10828800\"] \n  2 [size=\"16832000\", alpha=\"0.03\", expect_size=\"6732800\"] \n  2 -> 8 [size =\"6732800\"]\n  2 -> 9 [size =\"6732800\"]\n  2 -> 10 [size =\"6732800\"]\n  3 [size=\"19640320\", alpha=\"0.16\", expect_size=\"7856128\"] \n  4 [size=\"22284800\", alpha=\"0.19\", expect_size=\"8913920\"] \n  4 -> 8 [size =\"8913920\"]\n  5 [size=\"99169280\", alpha=\"0.02\", expect_size=\"39667712\"] \n  5 -> 10 [size =\"39667712\"]\n  6 [size=\"52656640\", alpha=\"0.14\", expect_size=\"21062656\"] \n  6 -> 9 [size =\"21062656\"]\n  7 [size=\"37399040\", alpha=\"0.06\", expect_size=\"14959616\"] \n  8 [size=\"87498240\", alpha=\"0.09\", expect_size=\"34999296\"] \n  9 [size=\"102704640\", alpha=\"0.11\", expect_size=\"41081856\"] \n  10 [size=\"87311360\", alpha=\"0.03\", expect_size=\"34924544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83173376\", alpha=\"0.16\", expect_size=\"41586688\"] \n  1 -> 2 [size =\"41586688\"]\n  2 [size=\"49858560\", alpha=\"0.13\", expect_size=\"24929280\"] \n  2 -> 3 [size =\"24929280\"]\n  3 [size=\"73512960\", alpha=\"0.05\", expect_size=\"36756480\"] \n  3 -> 4 [size =\"36756480\"]\n  4 [size=\"93710336\", alpha=\"0.02\", expect_size=\"46855168\"] \n  4 -> 5 [size =\"46855168\"]\n  5 [size=\"20547584\", alpha=\"0.10\", expect_size=\"10273792\"] \n  5 -> 6 [size =\"10273792\"]\n  6 [size=\"23525376\", alpha=\"0.13\", expect_size=\"11762688\"] \n  6 -> 7 [size =\"11762688\"]\n  7 [size=\"69167104\", alpha=\"0.17\", expect_size=\"34583552\"] \n  7 -> 8 [size =\"34583552\"]\n  8 [size=\"92899328\", alpha=\"0.02\", expect_size=\"46449664\"] \n  8 -> 9 [size =\"46449664\"]\n  9 [size=\"46256128\", alpha=\"0.00\", expect_size=\"23128064\"] \n  9 -> 10 [size =\"23128064\"]\n  10 [size=\"90142720\", alpha=\"0.17\", expect_size=\"45071360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92286293\", alpha=\"0.14\", expect_size=\"27685888\"] \n  1 -> 4 [size =\"27685888\"]\n  1 -> 5 [size =\"27685888\"]\n  2 [size=\"122763947\", alpha=\"0.06\", expect_size=\"36829184\"] \n  3 [size=\"81244160\", alpha=\"0.01\", expect_size=\"24373248\"] \n  3 -> 4 [size =\"24373248\"]\n  3 -> 5 [size =\"24373248\"]\n  4 [size=\"130341547\", alpha=\"0.09\", expect_size=\"39102464\"] \n  4 -> 6 [size =\"39102464\"]\n  4 -> 7 [size =\"39102464\"]\n  5 [size=\"75639467\", alpha=\"0.01\", expect_size=\"22691840\"] \n  5 -> 6 [size =\"22691840\"]\n  6 [size=\"152439467\", alpha=\"0.15\", expect_size=\"45731840\"] \n  6 -> 8 [size =\"45731840\"]\n  6 -> 9 [size =\"45731840\"]\n  7 [size=\"77564587\", alpha=\"0.18\", expect_size=\"23269376\"] \n  8 [size=\"47404373\", alpha=\"0.15\", expect_size=\"14221312\"] \n  9 [size=\"138649600\", alpha=\"0.11\", expect_size=\"41594880\"] \n  9 -> 10 [size =\"41594880\"]\n  10 [size=\"146435413\", alpha=\"0.19\", expect_size=\"43930624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62264320\", alpha=\"0.06\", expect_size=\"24905728\"] \n  1 -> 2 [size =\"24905728\"]\n  1 -> 3 [size =\"24905728\"]\n  2 [size=\"46087680\", alpha=\"0.16\", expect_size=\"18435072\"] \n  3 [size=\"98992640\", alpha=\"0.13\", expect_size=\"39597056\"] \n  3 -> 4 [size =\"39597056\"]\n  3 -> 5 [size =\"39597056\"]\n  3 -> 6 [size =\"39597056\"]\n  4 [size=\"36610560\", alpha=\"0.17\", expect_size=\"14644224\"] \n  5 [size=\"59857920\", alpha=\"0.17\", expect_size=\"23943168\"] \n  5 -> 7 [size =\"23943168\"]\n  6 [size=\"13135360\", alpha=\"0.03\", expect_size=\"5254144\"] \n  7 [size=\"86371840\", alpha=\"0.17\", expect_size=\"34548736\"] \n  7 -> 8 [size =\"34548736\"]\n  7 -> 9 [size =\"34548736\"]\n  7 -> 10 [size =\"34548736\"]\n  8 [size=\"84579840\", alpha=\"0.08\", expect_size=\"33831936\"] \n  9 [size=\"118489600\", alpha=\"0.09\", expect_size=\"47395840\"] \n  10 [size=\"44730880\", alpha=\"0.10\", expect_size=\"17892352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100792320\", alpha=\"0.15\", expect_size=\"30237696\"] \n  1 -> 3 [size =\"30237696\"]\n  2 [size=\"158218240\", alpha=\"0.12\", expect_size=\"47465472\"] \n  2 -> 4 [size =\"47465472\"]\n  2 -> 5 [size =\"47465472\"]\n  3 [size=\"148575573\", alpha=\"0.13\", expect_size=\"44572672\"] \n  3 -> 6 [size =\"44572672\"]\n  4 [size=\"137140907\", alpha=\"0.12\", expect_size=\"41142272\"] \n  4 -> 7 [size =\"41142272\"]\n  5 [size=\"46267733\", alpha=\"0.12\", expect_size=\"13880320\"] \n  5 -> 6 [size =\"13880320\"]\n  6 [size=\"122009600\", alpha=\"0.09\", expect_size=\"36602880\"] \n  6 -> 8 [size =\"36602880\"]\n  6 -> 9 [size =\"36602880\"]\n  7 [size=\"99396267\", alpha=\"0.09\", expect_size=\"29818880\"] \n  7 -> 8 [size =\"29818880\"]\n  7 -> 9 [size =\"29818880\"]\n  7 -> 10 [size =\"29818880\"]\n  8 [size=\"64245760\", alpha=\"0.05\", expect_size=\"19273728\"] \n  9 [size=\"108052480\", alpha=\"0.10\", expect_size=\"32415744\"] \n  10 [size=\"146728960\", alpha=\"0.18\", expect_size=\"44018688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48294400\", alpha=\"0.10\", expect_size=\"19317760\"] \n  1 -> 4 [size =\"19317760\"]\n  1 -> 5 [size =\"19317760\"]\n  2 [size=\"131028480\", alpha=\"0.17\", expect_size=\"52411392\"] \n  2 -> 3 [size =\"52411392\"]\n  2 -> 4 [size =\"52411392\"]\n  2 -> 5 [size =\"52411392\"]\n  3 [size=\"116160000\", alpha=\"0.07\", expect_size=\"46464000\"] \n  3 -> 6 [size =\"46464000\"]\n  3 -> 7 [size =\"46464000\"]\n  4 [size=\"91363840\", alpha=\"0.01\", expect_size=\"36545536\"] \n  4 -> 6 [size =\"36545536\"]\n  5 [size=\"125281280\", alpha=\"0.10\", expect_size=\"50112512\"] \n  5 -> 6 [size =\"50112512\"]\n  6 [size=\"46960640\", alpha=\"0.19\", expect_size=\"18784256\"] \n  6 -> 8 [size =\"18784256\"]\n  7 [size=\"25208320\", alpha=\"0.15\", expect_size=\"10083328\"] \n  7 -> 9 [size =\"10083328\"]\n  8 [size=\"65208320\", alpha=\"0.06\", expect_size=\"26083328\"] \n  8 -> 10 [size =\"26083328\"]\n  9 [size=\"30210560\", alpha=\"0.15\", expect_size=\"12084224\"] \n  10 [size=\"92323840\", alpha=\"0.01\", expect_size=\"36929536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35995648\", alpha=\"0.04\", expect_size=\"17997824\"] \n  1 -> 4 [size =\"17997824\"]\n  1 -> 5 [size =\"17997824\"]\n  2 [size=\"65232896\", alpha=\"0.19\", expect_size=\"32616448\"] \n  2 -> 5 [size =\"32616448\"]\n  3 [size=\"93288448\", alpha=\"0.05\", expect_size=\"46644224\"] \n  3 -> 5 [size =\"46644224\"]\n  4 [size=\"102492160\", alpha=\"0.19\", expect_size=\"51246080\"] \n  4 -> 6 [size =\"51246080\"]\n  4 -> 7 [size =\"51246080\"]\n  5 [size=\"49901568\", alpha=\"0.17\", expect_size=\"24950784\"] \n  5 -> 6 [size =\"24950784\"]\n  5 -> 8 [size =\"24950784\"]\n  6 [size=\"40828928\", alpha=\"0.14\", expect_size=\"20414464\"] \n  7 [size=\"90066944\", alpha=\"0.08\", expect_size=\"45033472\"] \n  7 -> 9 [size =\"45033472\"]\n  8 [size=\"31969280\", alpha=\"0.01\", expect_size=\"15984640\"] \n  8 -> 9 [size =\"15984640\"]\n  8 -> 10 [size =\"15984640\"]\n  9 [size=\"101203968\", alpha=\"0.19\", expect_size=\"50601984\"] \n  10 [size=\"71188480\", alpha=\"0.12\", expect_size=\"35594240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56545280\", alpha=\"0.13\", expect_size=\"16963584\"] \n  1 -> 8 [size =\"16963584\"]\n  1 -> 10 [size =\"16963584\"]\n  2 [size=\"124347733\", alpha=\"0.13\", expect_size=\"37304320\"] \n  2 -> 7 [size =\"37304320\"]\n  3 [size=\"51940693\", alpha=\"0.18\", expect_size=\"15582208\"] \n  4 [size=\"99000320\", alpha=\"0.12\", expect_size=\"29700096\"] \n  4 -> 7 [size =\"29700096\"]\n  4 -> 9 [size =\"29700096\"]\n  5 [size=\"116029440\", alpha=\"0.16\", expect_size=\"34808832\"] \n  5 -> 8 [size =\"34808832\"]\n  5 -> 9 [size =\"34808832\"]\n  5 -> 10 [size =\"34808832\"]\n  6 [size=\"96805547\", alpha=\"0.13\", expect_size=\"29041664\"] \n  6 -> 7 [size =\"29041664\"]\n  6 -> 8 [size =\"29041664\"]\n  6 -> 9 [size =\"29041664\"]\n  6 -> 10 [size =\"29041664\"]\n  7 [size=\"28873387\", alpha=\"0.15\", expect_size=\"8662016\"] \n  8 [size=\"109144747\", alpha=\"0.04\", expect_size=\"32743424\"] \n  9 [size=\"139574613\", alpha=\"0.03\", expect_size=\"41872384\"] \n  10 [size=\"79732053\", alpha=\"0.01\", expect_size=\"23919616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96849920\", alpha=\"0.17\", expect_size=\"48424960\"] \n  1 -> 2 [size =\"48424960\"]\n  2 [size=\"27639808\", alpha=\"0.16\", expect_size=\"13819904\"] \n  2 -> 3 [size =\"13819904\"]\n  3 [size=\"71229440\", alpha=\"0.13\", expect_size=\"35614720\"] \n  3 -> 4 [size =\"35614720\"]\n  4 [size=\"54671360\", alpha=\"0.08\", expect_size=\"27335680\"] \n  4 -> 5 [size =\"27335680\"]\n  5 [size=\"24967168\", alpha=\"0.16\", expect_size=\"12483584\"] \n  5 -> 6 [size =\"12483584\"]\n  6 [size=\"71186432\", alpha=\"0.06\", expect_size=\"35593216\"] \n  6 -> 7 [size =\"35593216\"]\n  7 [size=\"41521152\", alpha=\"0.18\", expect_size=\"20760576\"] \n  7 -> 8 [size =\"20760576\"]\n  8 [size=\"99483648\", alpha=\"0.15\", expect_size=\"49741824\"] \n  8 -> 9 [size =\"49741824\"]\n  9 [size=\"74680320\", alpha=\"0.18\", expect_size=\"37340160\"] \n  9 -> 10 [size =\"37340160\"]\n  10 [size=\"41302016\", alpha=\"0.14\", expect_size=\"20651008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85777067\", alpha=\"0.04\", expect_size=\"25733120\"] \n  1 -> 2 [size =\"25733120\"]\n  2 [size=\"62429867\", alpha=\"0.14\", expect_size=\"18728960\"] \n  2 -> 3 [size =\"18728960\"]\n  3 [size=\"18711893\", alpha=\"0.11\", expect_size=\"5613568\"] \n  3 -> 4 [size =\"5613568\"]\n  4 [size=\"142291627\", alpha=\"0.10\", expect_size=\"42687488\"] \n  4 -> 5 [size =\"42687488\"]\n  5 [size=\"27183787\", alpha=\"0.05\", expect_size=\"8155136\"] \n  5 -> 6 [size =\"8155136\"]\n  6 [size=\"112752640\", alpha=\"0.04\", expect_size=\"33825792\"] \n  6 -> 7 [size =\"33825792\"]\n  7 [size=\"20548267\", alpha=\"0.03\", expect_size=\"6164480\"] \n  7 -> 8 [size =\"6164480\"]\n  8 [size=\"151582720\", alpha=\"0.12\", expect_size=\"45474816\"] \n  8 -> 9 [size =\"45474816\"]\n  9 [size=\"132720640\", alpha=\"0.14\", expect_size=\"39816192\"] \n  9 -> 10 [size =\"39816192\"]\n  10 [size=\"33904640\", alpha=\"0.13\", expect_size=\"10171392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52662272\", alpha=\"0.09\", expect_size=\"26331136\"] \n  1 -> 2 [size =\"26331136\"]\n  2 [size=\"93679616\", alpha=\"0.02\", expect_size=\"46839808\"] \n  2 -> 3 [size =\"46839808\"]\n  3 [size=\"44591104\", alpha=\"0.08\", expect_size=\"22295552\"] \n  3 -> 4 [size =\"22295552\"]\n  4 [size=\"67606528\", alpha=\"0.02\", expect_size=\"33803264\"] \n  4 -> 5 [size =\"33803264\"]\n  5 [size=\"100384768\", alpha=\"0.14\", expect_size=\"50192384\"] \n  5 -> 6 [size =\"50192384\"]\n  6 [size=\"14845952\", alpha=\"0.02\", expect_size=\"7422976\"] \n  6 -> 7 [size =\"7422976\"]\n  7 [size=\"74878976\", alpha=\"0.07\", expect_size=\"37439488\"] \n  7 -> 8 [size =\"37439488\"]\n  8 [size=\"79110144\", alpha=\"0.09\", expect_size=\"39555072\"] \n  8 -> 9 [size =\"39555072\"]\n  9 [size=\"33277952\", alpha=\"0.19\", expect_size=\"16638976\"] \n  9 -> 10 [size =\"16638976\"]\n  10 [size=\"41457664\", alpha=\"0.20\", expect_size=\"20728832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26017280\", alpha=\"0.06\", expect_size=\"10406912\"] \n  1 -> 4 [size =\"10406912\"]\n  2 [size=\"16519680\", alpha=\"0.06\", expect_size=\"6607872\"] \n  2 -> 3 [size =\"6607872\"]\n  2 -> 5 [size =\"6607872\"]\n  3 [size=\"127575040\", alpha=\"0.06\", expect_size=\"51030016\"] \n  3 -> 6 [size =\"51030016\"]\n  3 -> 8 [size =\"51030016\"]\n  4 [size=\"70988800\", alpha=\"0.11\", expect_size=\"28395520\"] \n  4 -> 6 [size =\"28395520\"]\n  5 [size=\"99397120\", alpha=\"0.06\", expect_size=\"39758848\"] \n  5 -> 7 [size =\"39758848\"]\n  5 -> 8 [size =\"39758848\"]\n  6 [size=\"64714240\", alpha=\"0.15\", expect_size=\"25885696\"] \n  7 [size=\"115591680\", alpha=\"0.04\", expect_size=\"46236672\"] \n  7 -> 9 [size =\"46236672\"]\n  7 -> 10 [size =\"46236672\"]\n  8 [size=\"15214080\", alpha=\"0.00\", expect_size=\"6085632\"] \n  9 [size=\"117324800\", alpha=\"0.02\", expect_size=\"46929920\"] \n  10 [size=\"30653440\", alpha=\"0.16\", expect_size=\"12261376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70720853\", alpha=\"0.07\", expect_size=\"21216256\"] \n  1 -> 8 [size =\"21216256\"]\n  1 -> 9 [size =\"21216256\"]\n  2 [size=\"150067200\", alpha=\"0.03\", expect_size=\"45020160\"] \n  2 -> 7 [size =\"45020160\"]\n  2 -> 9 [size =\"45020160\"]\n  3 [size=\"92368213\", alpha=\"0.06\", expect_size=\"27710464\"] \n  3 -> 7 [size =\"27710464\"]\n  3 -> 9 [size =\"27710464\"]\n  3 -> 10 [size =\"27710464\"]\n  4 [size=\"107946667\", alpha=\"0.10\", expect_size=\"32384000\"] \n  4 -> 7 [size =\"32384000\"]\n  4 -> 10 [size =\"32384000\"]\n  5 [size=\"34283520\", alpha=\"0.11\", expect_size=\"10285056\"] \n  5 -> 7 [size =\"10285056\"]\n  5 -> 10 [size =\"10285056\"]\n  6 [size=\"109049173\", alpha=\"0.04\", expect_size=\"32714752\"] \n  6 -> 8 [size =\"32714752\"]\n  6 -> 10 [size =\"32714752\"]\n  7 [size=\"112206507\", alpha=\"0.00\", expect_size=\"33661952\"] \n  8 [size=\"42127360\", alpha=\"0.02\", expect_size=\"12638208\"] \n  9 [size=\"131901440\", alpha=\"0.06\", expect_size=\"39570432\"] \n  10 [size=\"122743467\", alpha=\"0.15\", expect_size=\"36823040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129561600\", alpha=\"0.02\", expect_size=\"51824640\"] \n  1 -> 2 [size =\"51824640\"]\n  2 [size=\"23910400\", alpha=\"0.19\", expect_size=\"9564160\"] \n  2 -> 3 [size =\"9564160\"]\n  3 [size=\"23889920\", alpha=\"0.14\", expect_size=\"9555968\"] \n  3 -> 4 [size =\"9555968\"]\n  4 [size=\"102410240\", alpha=\"0.07\", expect_size=\"40964096\"] \n  4 -> 5 [size =\"40964096\"]\n  5 [size=\"44869120\", alpha=\"0.03\", expect_size=\"17947648\"] \n  5 -> 6 [size =\"17947648\"]\n  6 [size=\"127536640\", alpha=\"0.18\", expect_size=\"51014656\"] \n  6 -> 7 [size =\"51014656\"]\n  7 [size=\"79221760\", alpha=\"0.07\", expect_size=\"31688704\"] \n  7 -> 8 [size =\"31688704\"]\n  8 [size=\"17873920\", alpha=\"0.02\", expect_size=\"7149568\"] \n  8 -> 9 [size =\"7149568\"]\n  9 [size=\"52874240\", alpha=\"0.00\", expect_size=\"21149696\"] \n  9 -> 10 [size =\"21149696\"]\n  10 [size=\"56778240\", alpha=\"0.06\", expect_size=\"22711296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14200320\", alpha=\"0.18\", expect_size=\"5680128\"] \n  1 -> 2 [size =\"5680128\"]\n  2 [size=\"36602880\", alpha=\"0.08\", expect_size=\"14641152\"] \n  2 -> 3 [size =\"14641152\"]\n  3 [size=\"126336000\", alpha=\"0.02\", expect_size=\"50534400\"] \n  3 -> 4 [size =\"50534400\"]\n  4 [size=\"23416320\", alpha=\"0.09\", expect_size=\"9366528\"] \n  4 -> 5 [size =\"9366528\"]\n  5 [size=\"93716480\", alpha=\"0.02\", expect_size=\"37486592\"] \n  5 -> 6 [size =\"37486592\"]\n  6 [size=\"64921600\", alpha=\"0.06\", expect_size=\"25968640\"] \n  6 -> 7 [size =\"25968640\"]\n  7 [size=\"43622400\", alpha=\"0.02\", expect_size=\"17448960\"] \n  7 -> 8 [size =\"17448960\"]\n  8 [size=\"67182080\", alpha=\"0.09\", expect_size=\"26872832\"] \n  8 -> 9 [size =\"26872832\"]\n  9 [size=\"119147520\", alpha=\"0.16\", expect_size=\"47659008\"] \n  9 -> 10 [size =\"47659008\"]\n  10 [size=\"90762240\", alpha=\"0.04\", expect_size=\"36304896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17682432\", alpha=\"0.15\", expect_size=\"8841216\"] \n  1 -> 6 [size =\"8841216\"]\n  2 [size=\"55422976\", alpha=\"0.20\", expect_size=\"27711488\"] \n  3 [size=\"39354368\", alpha=\"0.16\", expect_size=\"19677184\"] \n  4 [size=\"75106304\", alpha=\"0.00\", expect_size=\"37553152\"] \n  4 -> 6 [size =\"37553152\"]\n  4 -> 8 [size =\"37553152\"]\n  4 -> 9 [size =\"37553152\"]\n  5 [size=\"85735424\", alpha=\"0.04\", expect_size=\"42867712\"] \n  5 -> 7 [size =\"42867712\"]\n  6 [size=\"53628928\", alpha=\"0.12\", expect_size=\"26814464\"] \n  7 [size=\"62846976\", alpha=\"0.16\", expect_size=\"31423488\"] \n  7 -> 10 [size =\"31423488\"]\n  8 [size=\"14891008\", alpha=\"0.14\", expect_size=\"7445504\"] \n  9 [size=\"73246720\", alpha=\"0.06\", expect_size=\"36623360\"] \n  9 -> 10 [size =\"36623360\"]\n  10 [size=\"39534592\", alpha=\"0.15\", expect_size=\"19767296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82631680\", alpha=\"0.12\", expect_size=\"33052672\"] \n  1 -> 9 [size =\"33052672\"]\n  2 [size=\"96970240\", alpha=\"0.08\", expect_size=\"38788096\"] \n  2 -> 9 [size =\"38788096\"]\n  3 [size=\"84454400\", alpha=\"0.11\", expect_size=\"33781760\"] \n  3 -> 9 [size =\"33781760\"]\n  4 [size=\"25602560\", alpha=\"0.08\", expect_size=\"10241024\"] \n  4 -> 10 [size =\"10241024\"]\n  5 [size=\"129735680\", alpha=\"0.04\", expect_size=\"51894272\"] \n  5 -> 8 [size =\"51894272\"]\n  6 [size=\"39994880\", alpha=\"0.04\", expect_size=\"15997952\"] \n  6 -> 8 [size =\"15997952\"]\n  7 [size=\"39531520\", alpha=\"0.10\", expect_size=\"15812608\"] \n  7 -> 8 [size =\"15812608\"]\n  8 [size=\"73556480\", alpha=\"0.07\", expect_size=\"29422592\"] \n  9 [size=\"27440640\", alpha=\"0.12\", expect_size=\"10976256\"] \n  10 [size=\"60615680\", alpha=\"0.05\", expect_size=\"24246272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80133120\", alpha=\"0.16\", expect_size=\"32053248\"] \n  1 -> 2 [size =\"32053248\"]\n  2 [size=\"14522880\", alpha=\"0.13\", expect_size=\"5809152\"] \n  2 -> 3 [size =\"5809152\"]\n  3 [size=\"19210240\", alpha=\"0.05\", expect_size=\"7684096\"] \n  3 -> 4 [size =\"7684096\"]\n  4 [size=\"79252480\", alpha=\"0.06\", expect_size=\"31700992\"] \n  4 -> 5 [size =\"31700992\"]\n  5 [size=\"60587520\", alpha=\"0.10\", expect_size=\"24235008\"] \n  5 -> 6 [size =\"24235008\"]\n  6 [size=\"50534400\", alpha=\"0.09\", expect_size=\"20213760\"] \n  6 -> 7 [size =\"20213760\"]\n  7 [size=\"50370560\", alpha=\"0.06\", expect_size=\"20148224\"] \n  7 -> 8 [size =\"20148224\"]\n  8 [size=\"91614720\", alpha=\"0.20\", expect_size=\"36645888\"] \n  8 -> 9 [size =\"36645888\"]\n  9 [size=\"16202240\", alpha=\"0.03\", expect_size=\"6480896\"] \n  9 -> 10 [size =\"6480896\"]\n  10 [size=\"66342400\", alpha=\"0.17\", expect_size=\"26536960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86327296\", alpha=\"0.06\", expect_size=\"43163648\"] \n  1 -> 9 [size =\"43163648\"]\n  1 -> 10 [size =\"43163648\"]\n  2 [size=\"66977792\", alpha=\"0.11\", expect_size=\"33488896\"] \n  3 [size=\"89006080\", alpha=\"0.12\", expect_size=\"44503040\"] \n  4 [size=\"82188288\", alpha=\"0.02\", expect_size=\"41094144\"] \n  5 [size=\"54142976\", alpha=\"0.18\", expect_size=\"27071488\"] \n  5 -> 8 [size =\"27071488\"]\n  5 -> 10 [size =\"27071488\"]\n  6 [size=\"38230016\", alpha=\"0.08\", expect_size=\"19115008\"] \n  6 -> 7 [size =\"19115008\"]\n  6 -> 10 [size =\"19115008\"]\n  7 [size=\"59951104\", alpha=\"0.16\", expect_size=\"29975552\"] \n  8 [size=\"58589184\", alpha=\"0.15\", expect_size=\"29294592\"] \n  9 [size=\"102580224\", alpha=\"0.10\", expect_size=\"51290112\"] \n  10 [size=\"74311680\", alpha=\"0.11\", expect_size=\"37155840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112223573\", alpha=\"0.18\", expect_size=\"33667072\"] \n  1 -> 2 [size =\"33667072\"]\n  2 [size=\"129938773\", alpha=\"0.10\", expect_size=\"38981632\"] \n  2 -> 3 [size =\"38981632\"]\n  3 [size=\"60514987\", alpha=\"0.00\", expect_size=\"18154496\"] \n  3 -> 4 [size =\"18154496\"]\n  4 [size=\"49418240\", alpha=\"0.20\", expect_size=\"14825472\"] \n  4 -> 5 [size =\"14825472\"]\n  5 [size=\"128877227\", alpha=\"0.18\", expect_size=\"38663168\"] \n  5 -> 6 [size =\"38663168\"]\n  6 [size=\"132048213\", alpha=\"0.05\", expect_size=\"39614464\"] \n  6 -> 7 [size =\"39614464\"]\n  7 [size=\"45666987\", alpha=\"0.15\", expect_size=\"13700096\"] \n  7 -> 8 [size =\"13700096\"]\n  8 [size=\"90053973\", alpha=\"0.13\", expect_size=\"27016192\"] \n  8 -> 9 [size =\"27016192\"]\n  9 [size=\"33426773\", alpha=\"0.04\", expect_size=\"10028032\"] \n  9 -> 10 [size =\"10028032\"]\n  10 [size=\"91262293\", alpha=\"0.03\", expect_size=\"27378688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86814720\", alpha=\"0.04\", expect_size=\"34725888\"] \n  1 -> 2 [size =\"34725888\"]\n  2 [size=\"51189760\", alpha=\"0.18\", expect_size=\"20475904\"] \n  2 -> 3 [size =\"20475904\"]\n  3 [size=\"29864960\", alpha=\"0.08\", expect_size=\"11945984\"] \n  3 -> 4 [size =\"11945984\"]\n  4 [size=\"17011200\", alpha=\"0.12\", expect_size=\"6804480\"] \n  4 -> 5 [size =\"6804480\"]\n  5 [size=\"86423040\", alpha=\"0.17\", expect_size=\"34569216\"] \n  5 -> 6 [size =\"34569216\"]\n  6 [size=\"36244480\", alpha=\"0.13\", expect_size=\"14497792\"] \n  6 -> 7 [size =\"14497792\"]\n  7 [size=\"116336640\", alpha=\"0.10\", expect_size=\"46534656\"] \n  7 -> 8 [size =\"46534656\"]\n  8 [size=\"116433920\", alpha=\"0.10\", expect_size=\"46573568\"] \n  8 -> 9 [size =\"46573568\"]\n  9 [size=\"31777280\", alpha=\"0.10\", expect_size=\"12710912\"] \n  9 -> 10 [size =\"12710912\"]\n  10 [size=\"42649600\", alpha=\"0.01\", expect_size=\"17059840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27481600\", alpha=\"0.09\", expect_size=\"10992640\"] \n  1 -> 6 [size =\"10992640\"]\n  1 -> 7 [size =\"10992640\"]\n  1 -> 9 [size =\"10992640\"]\n  1 -> 10 [size =\"10992640\"]\n  2 [size=\"122385920\", alpha=\"0.07\", expect_size=\"48954368\"] \n  2 -> 6 [size =\"48954368\"]\n  2 -> 8 [size =\"48954368\"]\n  3 [size=\"32980480\", alpha=\"0.03\", expect_size=\"13192192\"] \n  3 -> 8 [size =\"13192192\"]\n  3 -> 10 [size =\"13192192\"]\n  4 [size=\"40888320\", alpha=\"0.09\", expect_size=\"16355328\"] \n  4 -> 10 [size =\"16355328\"]\n  5 [size=\"121351680\", alpha=\"0.00\", expect_size=\"48540672\"] \n  5 -> 6 [size =\"48540672\"]\n  5 -> 7 [size =\"48540672\"]\n  5 -> 8 [size =\"48540672\"]\n  5 -> 9 [size =\"48540672\"]\n  6 [size=\"117647360\", alpha=\"0.07\", expect_size=\"47058944\"] \n  7 [size=\"127121920\", alpha=\"0.01\", expect_size=\"50848768\"] \n  8 [size=\"101171200\", alpha=\"0.03\", expect_size=\"40468480\"] \n  9 [size=\"42229760\", alpha=\"0.11\", expect_size=\"16891904\"] \n  10 [size=\"80888320\", alpha=\"0.06\", expect_size=\"32355328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27456853\", alpha=\"0.17\", expect_size=\"8237056\"] \n  2 [size=\"101946027\", alpha=\"0.15\", expect_size=\"30583808\"] \n  2 -> 6 [size =\"30583808\"]\n  2 -> 7 [size =\"30583808\"]\n  3 [size=\"95945387\", alpha=\"0.01\", expect_size=\"28783616\"] \n  3 -> 5 [size =\"28783616\"]\n  3 -> 6 [size =\"28783616\"]\n  3 -> 7 [size =\"28783616\"]\n  4 [size=\"145162240\", alpha=\"0.18\", expect_size=\"43548672\"] \n  5 [size=\"55579307\", alpha=\"0.08\", expect_size=\"16673792\"] \n  5 -> 9 [size =\"16673792\"]\n  6 [size=\"44871680\", alpha=\"0.02\", expect_size=\"13461504\"] \n  6 -> 8 [size =\"13461504\"]\n  6 -> 10 [size =\"13461504\"]\n  7 [size=\"147712000\", alpha=\"0.20\", expect_size=\"44313600\"] \n  7 -> 8 [size =\"44313600\"]\n  8 [size=\"61057707\", alpha=\"0.03\", expect_size=\"18317312\"] \n  9 [size=\"83568640\", alpha=\"0.04\", expect_size=\"25070592\"] \n  10 [size=\"167287467\", alpha=\"0.09\", expect_size=\"50186240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52346880\", alpha=\"0.18\", expect_size=\"15704064\"] \n  2 [size=\"54968320\", alpha=\"0.08\", expect_size=\"16490496\"] \n  2 -> 4 [size =\"16490496\"]\n  2 -> 5 [size =\"16490496\"]\n  3 [size=\"65071787\", alpha=\"0.18\", expect_size=\"19521536\"] \n  3 -> 4 [size =\"19521536\"]\n  4 [size=\"114677760\", alpha=\"0.10\", expect_size=\"34403328\"] \n  4 -> 6 [size =\"34403328\"]\n  4 -> 7 [size =\"34403328\"]\n  4 -> 8 [size =\"34403328\"]\n  4 -> 9 [size =\"34403328\"]\n  5 [size=\"78353067\", alpha=\"0.01\", expect_size=\"23505920\"] \n  5 -> 6 [size =\"23505920\"]\n  5 -> 8 [size =\"23505920\"]\n  5 -> 9 [size =\"23505920\"]\n  6 [size=\"20773547\", alpha=\"0.06\", expect_size=\"6232064\"] \n  6 -> 10 [size =\"6232064\"]\n  7 [size=\"81708373\", alpha=\"0.08\", expect_size=\"24512512\"] \n  7 -> 10 [size =\"24512512\"]\n  8 [size=\"24470187\", alpha=\"0.08\", expect_size=\"7341056\"] \n  8 -> 10 [size =\"7341056\"]\n  9 [size=\"171502933\", alpha=\"0.06\", expect_size=\"51450880\"] \n  9 -> 10 [size =\"51450880\"]\n  10 [size=\"121620480\", alpha=\"0.05\", expect_size=\"36486144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88352768\", alpha=\"0.13\", expect_size=\"44176384\"] \n  1 -> 6 [size =\"44176384\"]\n  1 -> 7 [size =\"44176384\"]\n  1 -> 9 [size =\"44176384\"]\n  1 -> 10 [size =\"44176384\"]\n  2 [size=\"38883328\", alpha=\"0.00\", expect_size=\"19441664\"] \n  2 -> 8 [size =\"19441664\"]\n  2 -> 9 [size =\"19441664\"]\n  2 -> 10 [size =\"19441664\"]\n  3 [size=\"93534208\", alpha=\"0.04\", expect_size=\"46767104\"] \n  3 -> 6 [size =\"46767104\"]\n  3 -> 7 [size =\"46767104\"]\n  3 -> 9 [size =\"46767104\"]\n  3 -> 10 [size =\"46767104\"]\n  4 [size=\"45467648\", alpha=\"0.03\", expect_size=\"22733824\"] \n  4 -> 6 [size =\"22733824\"]\n  4 -> 7 [size =\"22733824\"]\n  4 -> 10 [size =\"22733824\"]\n  4 -> 10 [size =\"22733824\"]\n  5 [size=\"45336576\", alpha=\"0.04\", expect_size=\"22668288\"] \n  5 -> 7 [size =\"22668288\"]\n  6 [size=\"50669568\", alpha=\"0.10\", expect_size=\"25334784\"] \n  7 [size=\"32688128\", alpha=\"0.17\", expect_size=\"16344064\"] \n  8 [size=\"77158400\", alpha=\"0.01\", expect_size=\"38579200\"] \n  9 [size=\"63041536\", alpha=\"0.18\", expect_size=\"31520768\"] \n  10 [size=\"38379520\", alpha=\"0.11\", expect_size=\"19189760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74659840\", alpha=\"0.09\", expect_size=\"29863936\"] \n  1 -> 4 [size =\"29863936\"]\n  1 -> 5 [size =\"29863936\"]\n  2 [size=\"84405760\", alpha=\"0.07\", expect_size=\"33762304\"] \n  2 -> 3 [size =\"33762304\"]\n  2 -> 4 [size =\"33762304\"]\n  2 -> 5 [size =\"33762304\"]\n  3 [size=\"94691840\", alpha=\"0.18\", expect_size=\"37876736\"] \n  3 -> 6 [size =\"37876736\"]\n  4 [size=\"39800320\", alpha=\"0.01\", expect_size=\"15920128\"] \n  4 -> 7 [size =\"15920128\"]\n  5 [size=\"81774080\", alpha=\"0.09\", expect_size=\"32709632\"] \n  6 [size=\"108966400\", alpha=\"0.11\", expect_size=\"43586560\"] \n  6 -> 8 [size =\"43586560\"]\n  6 -> 9 [size =\"43586560\"]\n  6 -> 10 [size =\"43586560\"]\n  7 [size=\"39769600\", alpha=\"0.04\", expect_size=\"15907840\"] \n  7 -> 8 [size =\"15907840\"]\n  7 -> 10 [size =\"15907840\"]\n  8 [size=\"14205440\", alpha=\"0.14\", expect_size=\"5682176\"] \n  9 [size=\"23738880\", alpha=\"0.18\", expect_size=\"9495552\"] \n  10 [size=\"66572800\", alpha=\"0.06\", expect_size=\"26629120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118671360\", alpha=\"0.14\", expect_size=\"47468544\"] \n  1 -> 3 [size =\"47468544\"]\n  1 -> 4 [size =\"47468544\"]\n  1 -> 5 [size =\"47468544\"]\n  2 [size=\"95713280\", alpha=\"0.00\", expect_size=\"38285312\"] \n  2 -> 4 [size =\"38285312\"]\n  2 -> 5 [size =\"38285312\"]\n  3 [size=\"38732800\", alpha=\"0.14\", expect_size=\"15493120\"] \n  3 -> 7 [size =\"15493120\"]\n  3 -> 8 [size =\"15493120\"]\n  4 [size=\"111910400\", alpha=\"0.20\", expect_size=\"44764160\"] \n  4 -> 7 [size =\"44764160\"]\n  4 -> 8 [size =\"44764160\"]\n  5 [size=\"66693120\", alpha=\"0.07\", expect_size=\"26677248\"] \n  5 -> 6 [size =\"26677248\"]\n  5 -> 8 [size =\"26677248\"]\n  6 [size=\"30407680\", alpha=\"0.03\", expect_size=\"12163072\"] \n  6 -> 10 [size =\"12163072\"]\n  7 [size=\"30054400\", alpha=\"0.03\", expect_size=\"12021760\"] \n  7 -> 10 [size =\"12021760\"]\n  8 [size=\"128934400\", alpha=\"0.12\", expect_size=\"51573760\"] \n  8 -> 9 [size =\"51573760\"]\n  9 [size=\"47485440\", alpha=\"0.13\", expect_size=\"18994176\"] \n  10 [size=\"57221120\", alpha=\"0.04\", expect_size=\"22888448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36887893\", alpha=\"0.03\", expect_size=\"11066368\"] \n  1 -> 7 [size =\"11066368\"]\n  2 [size=\"162856960\", alpha=\"0.14\", expect_size=\"48857088\"] \n  2 -> 6 [size =\"48857088\"]\n  2 -> 8 [size =\"48857088\"]\n  2 -> 9 [size =\"48857088\"]\n  3 [size=\"123712853\", alpha=\"0.17\", expect_size=\"37113856\"] \n  3 -> 6 [size =\"37113856\"]\n  3 -> 7 [size =\"37113856\"]\n  4 [size=\"99519147\", alpha=\"0.07\", expect_size=\"29855744\"] \n  4 -> 6 [size =\"29855744\"]\n  4 -> 7 [size =\"29855744\"]\n  5 [size=\"83374080\", alpha=\"0.10\", expect_size=\"25012224\"] \n  5 -> 6 [size =\"25012224\"]\n  5 -> 7 [size =\"25012224\"]\n  6 [size=\"52121600\", alpha=\"0.04\", expect_size=\"15636480\"] \n  7 [size=\"137489067\", alpha=\"0.19\", expect_size=\"41246720\"] \n  8 [size=\"35717120\", alpha=\"0.17\", expect_size=\"10715136\"] \n  9 [size=\"94143147\", alpha=\"0.04\", expect_size=\"28242944\"] \n  9 -> 10 [size =\"28242944\"]\n  10 [size=\"78052693\", alpha=\"0.05\", expect_size=\"23415808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58381653\", alpha=\"0.11\", expect_size=\"17514496\"] \n  1 -> 5 [size =\"17514496\"]\n  1 -> 7 [size =\"17514496\"]\n  1 -> 8 [size =\"17514496\"]\n  2 [size=\"118469973\", alpha=\"0.17\", expect_size=\"35540992\"] \n  2 -> 5 [size =\"35540992\"]\n  2 -> 6 [size =\"35540992\"]\n  2 -> 8 [size =\"35540992\"]\n  2 -> 9 [size =\"35540992\"]\n  3 [size=\"149548373\", alpha=\"0.13\", expect_size=\"44864512\"] \n  3 -> 6 [size =\"44864512\"]\n  3 -> 7 [size =\"44864512\"]\n  3 -> 8 [size =\"44864512\"]\n  3 -> 9 [size =\"44864512\"]\n  4 [size=\"146158933\", alpha=\"0.16\", expect_size=\"43847680\"] \n  4 -> 5 [size =\"43847680\"]\n  4 -> 7 [size =\"43847680\"]\n  5 [size=\"69515947\", alpha=\"0.11\", expect_size=\"20854784\"] \n  6 [size=\"111513600\", alpha=\"0.06\", expect_size=\"33454080\"] \n  7 [size=\"74226347\", alpha=\"0.04\", expect_size=\"22267904\"] \n  8 [size=\"27258880\", alpha=\"0.15\", expect_size=\"8177664\"] \n  9 [size=\"153152853\", alpha=\"0.06\", expect_size=\"45945856\"] \n  9 -> 10 [size =\"45945856\"]\n  10 [size=\"111503360\", alpha=\"0.04\", expect_size=\"33451008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95351467\", alpha=\"0.07\", expect_size=\"28605440\"] \n  2 [size=\"90760533\", alpha=\"0.00\", expect_size=\"27228160\"] \n  2 -> 3 [size =\"27228160\"]\n  2 -> 4 [size =\"27228160\"]\n  2 -> 5 [size =\"27228160\"]\n  3 [size=\"59781120\", alpha=\"0.12\", expect_size=\"17934336\"] \n  3 -> 6 [size =\"17934336\"]\n  3 -> 7 [size =\"17934336\"]\n  4 [size=\"118531413\", alpha=\"0.05\", expect_size=\"35559424\"] \n  5 [size=\"23381333\", alpha=\"0.20\", expect_size=\"7014400\"] \n  5 -> 6 [size =\"7014400\"]\n  6 [size=\"34877440\", alpha=\"0.09\", expect_size=\"10463232\"] \n  6 -> 8 [size =\"10463232\"]\n  6 -> 9 [size =\"10463232\"]\n  7 [size=\"72956587\", alpha=\"0.00\", expect_size=\"21886976\"] \n  7 -> 8 [size =\"21886976\"]\n  7 -> 9 [size =\"21886976\"]\n  7 -> 10 [size =\"21886976\"]\n  8 [size=\"151012693\", alpha=\"0.15\", expect_size=\"45303808\"] \n  9 [size=\"70458027\", alpha=\"0.07\", expect_size=\"21137408\"] \n  10 [size=\"106854400\", alpha=\"0.14\", expect_size=\"32056320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169123840\", alpha=\"0.17\", expect_size=\"50737152\"] \n  1 -> 9 [size =\"50737152\"]\n  1 -> 10 [size =\"50737152\"]\n  2 [size=\"168389973\", alpha=\"0.01\", expect_size=\"50516992\"] \n  2 -> 9 [size =\"50516992\"]\n  3 [size=\"104977067\", alpha=\"0.06\", expect_size=\"31493120\"] \n  3 -> 10 [size =\"31493120\"]\n  4 [size=\"68741120\", alpha=\"0.05\", expect_size=\"20622336\"] \n  4 -> 10 [size =\"20622336\"]\n  5 [size=\"62064640\", alpha=\"0.18\", expect_size=\"18619392\"] \n  5 -> 9 [size =\"18619392\"]\n  6 [size=\"114186240\", alpha=\"0.19\", expect_size=\"34255872\"] \n  6 -> 10 [size =\"34255872\"]\n  7 [size=\"37120000\", alpha=\"0.06\", expect_size=\"11136000\"] \n  7 -> 10 [size =\"11136000\"]\n  8 [size=\"46622720\", alpha=\"0.17\", expect_size=\"13986816\"] \n  9 [size=\"112523947\", alpha=\"0.11\", expect_size=\"33757184\"] \n  10 [size=\"111462400\", alpha=\"0.10\", expect_size=\"33438720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28480853\", alpha=\"0.05\", expect_size=\"8544256\"] \n  2 [size=\"159324160\", alpha=\"0.13\", expect_size=\"47797248\"] \n  3 [size=\"43939840\", alpha=\"0.06\", expect_size=\"13181952\"] \n  4 [size=\"41219413\", alpha=\"0.17\", expect_size=\"12365824\"] \n  4 -> 9 [size =\"12365824\"]\n  4 -> 10 [size =\"12365824\"]\n  5 [size=\"138315093\", alpha=\"0.06\", expect_size=\"41494528\"] \n  5 -> 10 [size =\"41494528\"]\n  6 [size=\"118985387\", alpha=\"0.06\", expect_size=\"35695616\"] \n  7 [size=\"138912427\", alpha=\"0.04\", expect_size=\"41673728\"] \n  7 -> 9 [size =\"41673728\"]\n  7 -> 10 [size =\"41673728\"]\n  8 [size=\"85196800\", alpha=\"0.16\", expect_size=\"25559040\"] \n  9 [size=\"21794133\", alpha=\"0.15\", expect_size=\"6538240\"] \n  10 [size=\"132222293\", alpha=\"0.08\", expect_size=\"39666688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123351040\", alpha=\"0.12\", expect_size=\"37005312\"] \n  1 -> 9 [size =\"37005312\"]\n  1 -> 10 [size =\"37005312\"]\n  2 [size=\"149732693\", alpha=\"0.05\", expect_size=\"44919808\"] \n  2 -> 8 [size =\"44919808\"]\n  3 [size=\"60890453\", alpha=\"0.07\", expect_size=\"18267136\"] \n  3 -> 8 [size =\"18267136\"]\n  3 -> 9 [size =\"18267136\"]\n  4 [size=\"170178560\", alpha=\"0.09\", expect_size=\"51053568\"] \n  4 -> 7 [size =\"51053568\"]\n  5 [size=\"56282453\", alpha=\"0.03\", expect_size=\"16884736\"] \n  5 -> 8 [size =\"16884736\"]\n  5 -> 9 [size =\"16884736\"]\n  5 -> 10 [size =\"16884736\"]\n  6 [size=\"122572800\", alpha=\"0.12\", expect_size=\"36771840\"] \n  7 [size=\"160587093\", alpha=\"0.02\", expect_size=\"48176128\"] \n  8 [size=\"43345920\", alpha=\"0.05\", expect_size=\"13003776\"] \n  9 [size=\"86210560\", alpha=\"0.08\", expect_size=\"25863168\"] \n  10 [size=\"150432427\", alpha=\"0.06\", expect_size=\"45129728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36784128\", alpha=\"0.19\", expect_size=\"18392064\"] \n  1 -> 7 [size =\"18392064\"]\n  1 -> 8 [size =\"18392064\"]\n  1 -> 9 [size =\"18392064\"]\n  2 [size=\"37181440\", alpha=\"0.07\", expect_size=\"18590720\"] \n  2 -> 8 [size =\"18590720\"]\n  2 -> 9 [size =\"18590720\"]\n  2 -> 10 [size =\"18590720\"]\n  3 [size=\"47054848\", alpha=\"0.17\", expect_size=\"23527424\"] \n  3 -> 10 [size =\"23527424\"]\n  4 [size=\"85534720\", alpha=\"0.01\", expect_size=\"42767360\"] \n  4 -> 7 [size =\"42767360\"]\n  4 -> 8 [size =\"42767360\"]\n  4 -> 10 [size =\"42767360\"]\n  5 [size=\"32253952\", alpha=\"0.20\", expect_size=\"16126976\"] \n  5 -> 6 [size =\"16126976\"]\n  5 -> 8 [size =\"16126976\"]\n  5 -> 9 [size =\"16126976\"]\n  6 [size=\"29122560\", alpha=\"0.18\", expect_size=\"14561280\"] \n  7 [size=\"15706112\", alpha=\"0.10\", expect_size=\"7853056\"] \n  8 [size=\"48920576\", alpha=\"0.14\", expect_size=\"24460288\"] \n  9 [size=\"91338752\", alpha=\"0.12\", expect_size=\"45669376\"] \n  10 [size=\"55087104\", alpha=\"0.14\", expect_size=\"27543552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162648747\", alpha=\"0.14\", expect_size=\"48794624\"] \n  1 -> 8 [size =\"48794624\"]\n  2 [size=\"37440853\", alpha=\"0.04\", expect_size=\"11232256\"] \n  2 -> 5 [size =\"11232256\"]\n  2 -> 7 [size =\"11232256\"]\n  3 [size=\"25739947\", alpha=\"0.04\", expect_size=\"7721984\"] \n  3 -> 6 [size =\"7721984\"]\n  4 [size=\"130341547\", alpha=\"0.01\", expect_size=\"39102464\"] \n  4 -> 7 [size =\"39102464\"]\n  4 -> 8 [size =\"39102464\"]\n  5 [size=\"162409813\", alpha=\"0.03\", expect_size=\"48722944\"] \n  5 -> 9 [size =\"48722944\"]\n  6 [size=\"160522240\", alpha=\"0.08\", expect_size=\"48156672\"] \n  7 [size=\"159368533\", alpha=\"0.13\", expect_size=\"47810560\"] \n  7 -> 10 [size =\"47810560\"]\n  8 [size=\"153712640\", alpha=\"0.11\", expect_size=\"46113792\"] \n  8 -> 9 [size =\"46113792\"]\n  9 [size=\"144687787\", alpha=\"0.18\", expect_size=\"43406336\"] \n  10 [size=\"23773867\", alpha=\"0.08\", expect_size=\"7132160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45561856\", alpha=\"0.13\", expect_size=\"22780928\"] \n  1 -> 2 [size =\"22780928\"]\n  2 [size=\"73699328\", alpha=\"0.17\", expect_size=\"36849664\"] \n  2 -> 3 [size =\"36849664\"]\n  3 [size=\"92129280\", alpha=\"0.19\", expect_size=\"46064640\"] \n  3 -> 4 [size =\"46064640\"]\n  4 [size=\"33409024\", alpha=\"0.01\", expect_size=\"16704512\"] \n  4 -> 5 [size =\"16704512\"]\n  5 [size=\"95186944\", alpha=\"0.07\", expect_size=\"47593472\"] \n  5 -> 6 [size =\"47593472\"]\n  6 [size=\"25776128\", alpha=\"0.15\", expect_size=\"12888064\"] \n  6 -> 7 [size =\"12888064\"]\n  7 [size=\"37470208\", alpha=\"0.00\", expect_size=\"18735104\"] \n  7 -> 8 [size =\"18735104\"]\n  8 [size=\"67622912\", alpha=\"0.18\", expect_size=\"33811456\"] \n  8 -> 9 [size =\"33811456\"]\n  9 [size=\"77656064\", alpha=\"0.03\", expect_size=\"38828032\"] \n  9 -> 10 [size =\"38828032\"]\n  10 [size=\"75798528\", alpha=\"0.03\", expect_size=\"37899264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59207680\", alpha=\"0.09\", expect_size=\"23683072\"] \n  1 -> 2 [size =\"23683072\"]\n  2 [size=\"45365760\", alpha=\"0.05\", expect_size=\"18146304\"] \n  2 -> 3 [size =\"18146304\"]\n  3 [size=\"40033280\", alpha=\"0.16\", expect_size=\"16013312\"] \n  3 -> 4 [size =\"16013312\"]\n  4 [size=\"20920320\", alpha=\"0.03\", expect_size=\"8368128\"] \n  4 -> 5 [size =\"8368128\"]\n  5 [size=\"48778240\", alpha=\"0.16\", expect_size=\"19511296\"] \n  5 -> 6 [size =\"19511296\"]\n  6 [size=\"27179520\", alpha=\"0.02\", expect_size=\"10871808\"] \n  6 -> 7 [size =\"10871808\"]\n  7 [size=\"127393280\", alpha=\"0.05\", expect_size=\"50957312\"] \n  7 -> 8 [size =\"50957312\"]\n  8 [size=\"72552960\", alpha=\"0.05\", expect_size=\"29021184\"] \n  8 -> 9 [size =\"29021184\"]\n  9 [size=\"42472960\", alpha=\"0.18\", expect_size=\"16989184\"] \n  9 -> 10 [size =\"16989184\"]\n  10 [size=\"66112000\", alpha=\"0.00\", expect_size=\"26444800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19156992\", alpha=\"0.11\", expect_size=\"9578496\"] \n  1 -> 8 [size =\"9578496\"]\n  1 -> 9 [size =\"9578496\"]\n  1 -> 10 [size =\"9578496\"]\n  2 [size=\"20338688\", alpha=\"0.12\", expect_size=\"10169344\"] \n  2 -> 7 [size =\"10169344\"]\n  2 -> 8 [size =\"10169344\"]\n  2 -> 9 [size =\"10169344\"]\n  3 [size=\"78073856\", alpha=\"0.08\", expect_size=\"39036928\"] \n  3 -> 7 [size =\"39036928\"]\n  4 [size=\"35151872\", alpha=\"0.17\", expect_size=\"17575936\"] \n  4 -> 7 [size =\"17575936\"]\n  5 [size=\"74076160\", alpha=\"0.02\", expect_size=\"37038080\"] \n  5 -> 10 [size =\"37038080\"]\n  6 [size=\"36458496\", alpha=\"0.18\", expect_size=\"18229248\"] \n  7 [size=\"55785472\", alpha=\"0.04\", expect_size=\"27892736\"] \n  8 [size=\"22065152\", alpha=\"0.11\", expect_size=\"11032576\"] \n  9 [size=\"67293184\", alpha=\"0.13\", expect_size=\"33646592\"] \n  10 [size=\"42565632\", alpha=\"0.08\", expect_size=\"21282816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123850240\", alpha=\"0.13\", expect_size=\"49540096\"] \n  1 -> 5 [size =\"49540096\"]\n  1 -> 6 [size =\"49540096\"]\n  2 [size=\"93949440\", alpha=\"0.17\", expect_size=\"37579776\"] \n  2 -> 5 [size =\"37579776\"]\n  2 -> 6 [size =\"37579776\"]\n  3 [size=\"62556160\", alpha=\"0.11\", expect_size=\"25022464\"] \n  3 -> 4 [size =\"25022464\"]\n  3 -> 5 [size =\"25022464\"]\n  3 -> 6 [size =\"25022464\"]\n  4 [size=\"127452160\", alpha=\"0.02\", expect_size=\"50980864\"] \n  4 -> 7 [size =\"50980864\"]\n  4 -> 8 [size =\"50980864\"]\n  5 [size=\"124157440\", alpha=\"0.11\", expect_size=\"49662976\"] \n  5 -> 7 [size =\"49662976\"]\n  6 [size=\"36451840\", alpha=\"0.17\", expect_size=\"14580736\"] \n  6 -> 7 [size =\"14580736\"]\n  7 [size=\"24327680\", alpha=\"0.04\", expect_size=\"9731072\"] \n  7 -> 10 [size =\"9731072\"]\n  8 [size=\"14827520\", alpha=\"0.18\", expect_size=\"5931008\"] \n  8 -> 9 [size =\"5931008\"]\n  8 -> 10 [size =\"5931008\"]\n  9 [size=\"109007360\", alpha=\"0.04\", expect_size=\"43602944\"] \n  10 [size=\"104727040\", alpha=\"0.07\", expect_size=\"41890816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94446933\", alpha=\"0.06\", expect_size=\"28334080\"] \n  1 -> 4 [size =\"28334080\"]\n  2 [size=\"86708907\", alpha=\"0.09\", expect_size=\"26012672\"] \n  3 [size=\"160822613\", alpha=\"0.12\", expect_size=\"48246784\"] \n  3 -> 4 [size =\"48246784\"]\n  4 [size=\"39990613\", alpha=\"0.16\", expect_size=\"11997184\"] \n  4 -> 5 [size =\"11997184\"]\n  4 -> 6 [size =\"11997184\"]\n  4 -> 7 [size =\"11997184\"]\n  5 [size=\"70283947\", alpha=\"0.01\", expect_size=\"21085184\"] \n  6 [size=\"139141120\", alpha=\"0.00\", expect_size=\"41742336\"] \n  7 [size=\"35085653\", alpha=\"0.10\", expect_size=\"10525696\"] \n  7 -> 8 [size =\"10525696\"]\n  8 [size=\"87715840\", alpha=\"0.10\", expect_size=\"26314752\"] \n  8 -> 9 [size =\"26314752\"]\n  8 -> 10 [size =\"26314752\"]\n  9 [size=\"112117760\", alpha=\"0.04\", expect_size=\"33635328\"] \n  10 [size=\"133515947\", alpha=\"0.07\", expect_size=\"40054784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51032064\", alpha=\"0.17\", expect_size=\"25516032\"] \n  1 -> 3 [size =\"25516032\"]\n  2 [size=\"15165440\", alpha=\"0.19\", expect_size=\"7582720\"] \n  2 -> 4 [size =\"7582720\"]\n  3 [size=\"32516096\", alpha=\"0.04\", expect_size=\"16258048\"] \n  3 -> 6 [size =\"16258048\"]\n  4 [size=\"69412864\", alpha=\"0.14\", expect_size=\"34706432\"] \n  4 -> 5 [size =\"34706432\"]\n  5 [size=\"44658688\", alpha=\"0.07\", expect_size=\"22329344\"] \n  5 -> 7 [size =\"22329344\"]\n  5 -> 8 [size =\"22329344\"]\n  5 -> 9 [size =\"22329344\"]\n  6 [size=\"49731584\", alpha=\"0.08\", expect_size=\"24865792\"] \n  7 [size=\"90847232\", alpha=\"0.09\", expect_size=\"45423616\"] \n  7 -> 10 [size =\"45423616\"]\n  8 [size=\"91944960\", alpha=\"0.04\", expect_size=\"45972480\"] \n  9 [size=\"31825920\", alpha=\"0.12\", expect_size=\"15912960\"] \n  9 -> 10 [size =\"15912960\"]\n  10 [size=\"75407360\", alpha=\"0.08\", expect_size=\"37703680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39737344\", alpha=\"0.03\", expect_size=\"19868672\"] \n  1 -> 2 [size =\"19868672\"]\n  1 -> 3 [size =\"19868672\"]\n  2 [size=\"45975552\", alpha=\"0.11\", expect_size=\"22987776\"] \n  2 -> 4 [size =\"22987776\"]\n  3 [size=\"100601856\", alpha=\"0.02\", expect_size=\"50300928\"] \n  4 [size=\"92481536\", alpha=\"0.08\", expect_size=\"46240768\"] \n  4 -> 5 [size =\"46240768\"]\n  4 -> 6 [size =\"46240768\"]\n  4 -> 7 [size =\"46240768\"]\n  4 -> 8 [size =\"46240768\"]\n  5 [size=\"80742400\", alpha=\"0.01\", expect_size=\"40371200\"] \n  6 [size=\"26955776\", alpha=\"0.02\", expect_size=\"13477888\"] \n  6 -> 9 [size =\"13477888\"]\n  7 [size=\"18771968\", alpha=\"0.06\", expect_size=\"9385984\"] \n  8 [size=\"17397760\", alpha=\"0.17\", expect_size=\"8698880\"] \n  9 [size=\"95854592\", alpha=\"0.03\", expect_size=\"47927296\"] \n  9 -> 10 [size =\"47927296\"]\n  10 [size=\"97202176\", alpha=\"0.04\", expect_size=\"48601088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40288256\", alpha=\"0.01\", expect_size=\"20144128\"] \n  1 -> 4 [size =\"20144128\"]\n  2 [size=\"83623936\", alpha=\"0.00\", expect_size=\"41811968\"] \n  3 [size=\"94017536\", alpha=\"0.18\", expect_size=\"47008768\"] \n  3 -> 5 [size =\"47008768\"]\n  4 [size=\"19519488\", alpha=\"0.18\", expect_size=\"9759744\"] \n  4 -> 6 [size =\"9759744\"]\n  5 [size=\"97777664\", alpha=\"0.00\", expect_size=\"48888832\"] \n  5 -> 7 [size =\"48888832\"]\n  6 [size=\"77688832\", alpha=\"0.15\", expect_size=\"38844416\"] \n  6 -> 8 [size =\"38844416\"]\n  7 [size=\"90134528\", alpha=\"0.17\", expect_size=\"45067264\"] \n  7 -> 9 [size =\"45067264\"]\n  8 [size=\"30447616\", alpha=\"0.02\", expect_size=\"15223808\"] \n  8 -> 10 [size =\"15223808\"]\n  9 [size=\"56942592\", alpha=\"0.18\", expect_size=\"28471296\"] \n  10 [size=\"67868672\", alpha=\"0.00\", expect_size=\"33934336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16158720\", alpha=\"0.11\", expect_size=\"6463488\"] \n  1 -> 2 [size =\"6463488\"]\n  2 [size=\"72266240\", alpha=\"0.04\", expect_size=\"28906496\"] \n  2 -> 3 [size =\"28906496\"]\n  3 [size=\"45532160\", alpha=\"0.00\", expect_size=\"18212864\"] \n  3 -> 4 [size =\"18212864\"]\n  4 [size=\"111884800\", alpha=\"0.08\", expect_size=\"44753920\"] \n  4 -> 5 [size =\"44753920\"]\n  5 [size=\"30640640\", alpha=\"0.10\", expect_size=\"12256256\"] \n  5 -> 6 [size =\"12256256\"]\n  6 [size=\"53002240\", alpha=\"0.17\", expect_size=\"21200896\"] \n  6 -> 7 [size =\"21200896\"]\n  7 [size=\"104522240\", alpha=\"0.08\", expect_size=\"41808896\"] \n  7 -> 8 [size =\"41808896\"]\n  8 [size=\"51973120\", alpha=\"0.02\", expect_size=\"20789248\"] \n  8 -> 9 [size =\"20789248\"]\n  9 [size=\"78999040\", alpha=\"0.07\", expect_size=\"31599616\"] \n  9 -> 10 [size =\"31599616\"]\n  10 [size=\"109409280\", alpha=\"0.05\", expect_size=\"43763712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random10_test/random.10.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:04 2019\n// ./daggen --dot -n 10 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72192000\", alpha=\"0.20\", expect_size=\"36096000\"] \n  1 -> 4 [size =\"36096000\"]\n  2 [size=\"32532480\", alpha=\"0.08\", expect_size=\"16266240\"] \n  2 -> 5 [size =\"16266240\"]\n  3 [size=\"14481408\", alpha=\"0.17\", expect_size=\"7240704\"] \n  4 [size=\"20115456\", alpha=\"0.13\", expect_size=\"10057728\"] \n  4 -> 6 [size =\"10057728\"]\n  4 -> 7 [size =\"10057728\"]\n  4 -> 8 [size =\"10057728\"]\n  5 [size=\"70356992\", alpha=\"0.08\", expect_size=\"35178496\"] \n  5 -> 7 [size =\"35178496\"]\n  5 -> 8 [size =\"35178496\"]\n  6 [size=\"25260032\", alpha=\"0.10\", expect_size=\"12630016\"] \n  6 -> 10 [size =\"12630016\"]\n  7 [size=\"15093760\", alpha=\"0.19\", expect_size=\"7546880\"] \n  7 -> 9 [size =\"7546880\"]\n  8 [size=\"37869568\", alpha=\"0.05\", expect_size=\"18934784\"] \n  9 [size=\"53131264\", alpha=\"0.02\", expect_size=\"26565632\"] \n  10 [size=\"31375360\", alpha=\"0.19\", expect_size=\"15687680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127086080\", alpha=\"0.09\", expect_size=\"50834432\"] \n  1 -> 2 [size =\"50834432\"]\n  2 [size=\"67161600\", alpha=\"0.04\", expect_size=\"26864640\"] \n  2 -> 3 [size =\"26864640\"]\n  3 [size=\"120622080\", alpha=\"0.13\", expect_size=\"48248832\"] \n  3 -> 4 [size =\"48248832\"]\n  4 [size=\"36953600\", alpha=\"0.08\", expect_size=\"14781440\"] \n  4 -> 5 [size =\"14781440\"]\n  5 [size=\"120189440\", alpha=\"0.18\", expect_size=\"48075776\"] \n  5 -> 6 [size =\"48075776\"]\n  6 [size=\"130129920\", alpha=\"0.10\", expect_size=\"52051968\"] \n  6 -> 7 [size =\"52051968\"]\n  7 [size=\"121958400\", alpha=\"0.17\", expect_size=\"48783360\"] \n  7 -> 8 [size =\"48783360\"]\n  8 [size=\"63175680\", alpha=\"0.16\", expect_size=\"25270272\"] \n  8 -> 9 [size =\"25270272\"]\n  9 [size=\"71449600\", alpha=\"0.16\", expect_size=\"28579840\"] \n  9 -> 10 [size =\"28579840\"]\n  10 [size=\"75781120\", alpha=\"0.08\", expect_size=\"30312448\"] \n  10 -> 11 [size =\"30312448\"]\n  11 [size=\"74449920\", alpha=\"0.08\", expect_size=\"29779968\"] \n  11 -> 12 [size =\"29779968\"]\n  12 [size=\"125813760\", alpha=\"0.06\", expect_size=\"50325504\"] \n  12 -> 13 [size =\"50325504\"]\n  13 [size=\"32066560\", alpha=\"0.06\", expect_size=\"12826624\"] \n  13 -> 14 [size =\"12826624\"]\n  14 [size=\"107194880\", alpha=\"0.09\", expect_size=\"42877952\"] \n  14 -> 15 [size =\"42877952\"]\n  15 [size=\"36976640\", alpha=\"0.16\", expect_size=\"14790656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44144640\", alpha=\"0.19\", expect_size=\"17657856\"] \n  2 [size=\"80506880\", alpha=\"0.04\", expect_size=\"32202752\"] \n  2 -> 8 [size =\"32202752\"]\n  2 -> 9 [size =\"32202752\"]\n  2 -> 11 [size =\"32202752\"]\n  3 [size=\"42155520\", alpha=\"0.07\", expect_size=\"16862208\"] \n  3 -> 10 [size =\"16862208\"]\n  4 [size=\"31165440\", alpha=\"0.19\", expect_size=\"12466176\"] \n  4 -> 7 [size =\"12466176\"]\n  4 -> 9 [size =\"12466176\"]\n  4 -> 10 [size =\"12466176\"]\n  5 [size=\"117355520\", alpha=\"0.09\", expect_size=\"46942208\"] \n  5 -> 8 [size =\"46942208\"]\n  5 -> 11 [size =\"46942208\"]\n  6 [size=\"53511680\", alpha=\"0.17\", expect_size=\"21404672\"] \n  6 -> 9 [size =\"21404672\"]\n  7 [size=\"74119680\", alpha=\"0.08\", expect_size=\"29647872\"] \n  7 -> 13 [size =\"29647872\"]\n  7 -> 14 [size =\"29647872\"]\n  8 [size=\"31749120\", alpha=\"0.06\", expect_size=\"12699648\"] \n  8 -> 15 [size =\"12699648\"]\n  9 [size=\"106846720\", alpha=\"0.00\", expect_size=\"42738688\"] \n  9 -> 13 [size =\"42738688\"]\n  9 -> 14 [size =\"42738688\"]\n  10 [size=\"38937600\", alpha=\"0.09\", expect_size=\"15575040\"] \n  10 -> 13 [size =\"15575040\"]\n  11 [size=\"102028800\", alpha=\"0.13\", expect_size=\"40811520\"] \n  11 -> 12 [size =\"40811520\"]\n  11 -> 13 [size =\"40811520\"]\n  11 -> 14 [size =\"40811520\"]\n  11 -> 15 [size =\"40811520\"]\n  12 [size=\"95178240\", alpha=\"0.05\", expect_size=\"38071296\"] \n  13 [size=\"116357120\", alpha=\"0.15\", expect_size=\"46542848\"] \n  14 [size=\"40709120\", alpha=\"0.08\", expect_size=\"16283648\"] \n  15 [size=\"37155840\", alpha=\"0.16\", expect_size=\"14862336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22384640\", alpha=\"0.08\", expect_size=\"6715392\"] \n  1 -> 7 [size =\"6715392\"]\n  1 -> 8 [size =\"6715392\"]\n  1 -> 11 [size =\"6715392\"]\n  1 -> 12 [size =\"6715392\"]\n  2 [size=\"29614080\", alpha=\"0.04\", expect_size=\"8884224\"] \n  2 -> 8 [size =\"8884224\"]\n  2 -> 9 [size =\"8884224\"]\n  3 [size=\"140055893\", alpha=\"0.16\", expect_size=\"42016768\"] \n  3 -> 7 [size =\"42016768\"]\n  3 -> 9 [size =\"42016768\"]\n  3 -> 10 [size =\"42016768\"]\n  3 -> 11 [size =\"42016768\"]\n  4 [size=\"78434987\", alpha=\"0.17\", expect_size=\"23530496\"] \n  4 -> 7 [size =\"23530496\"]\n  4 -> 9 [size =\"23530496\"]\n  4 -> 11 [size =\"23530496\"]\n  5 [size=\"122927787\", alpha=\"0.15\", expect_size=\"36878336\"] \n  5 -> 10 [size =\"36878336\"]\n  5 -> 11 [size =\"36878336\"]\n  6 [size=\"70519467\", alpha=\"0.03\", expect_size=\"21155840\"] \n  6 -> 8 [size =\"21155840\"]\n  6 -> 9 [size =\"21155840\"]\n  7 [size=\"98334720\", alpha=\"0.02\", expect_size=\"29500416\"] \n  8 [size=\"67170987\", alpha=\"0.02\", expect_size=\"20151296\"] \n  8 -> 13 [size =\"20151296\"]\n  8 -> 14 [size =\"20151296\"]\n  9 [size=\"71567360\", alpha=\"0.04\", expect_size=\"21470208\"] \n  9 -> 13 [size =\"21470208\"]\n  10 [size=\"71488853\", alpha=\"0.01\", expect_size=\"21446656\"] \n  10 -> 13 [size =\"21446656\"]\n  10 -> 14 [size =\"21446656\"]\n  11 [size=\"69703680\", alpha=\"0.12\", expect_size=\"20911104\"] \n  11 -> 13 [size =\"20911104\"]\n  11 -> 14 [size =\"20911104\"]\n  12 [size=\"136407040\", alpha=\"0.20\", expect_size=\"40922112\"] \n  12 -> 14 [size =\"40922112\"]\n  12 -> 15 [size =\"40922112\"]\n  13 [size=\"165833387\", alpha=\"0.03\", expect_size=\"49750016\"] \n  14 [size=\"131737600\", alpha=\"0.16\", expect_size=\"39521280\"] \n  15 [size=\"105171627\", alpha=\"0.09\", expect_size=\"31551488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67864576\", alpha=\"0.11\", expect_size=\"33932288\"] \n  2 [size=\"97660928\", alpha=\"0.10\", expect_size=\"48830464\"] \n  2 -> 15 [size =\"48830464\"]\n  3 [size=\"92252160\", alpha=\"0.11\", expect_size=\"46126080\"] \n  4 [size=\"26998784\", alpha=\"0.17\", expect_size=\"13499392\"] \n  4 -> 14 [size =\"13499392\"]\n  5 [size=\"27066368\", alpha=\"0.19\", expect_size=\"13533184\"] \n  5 -> 14 [size =\"13533184\"]\n  5 -> 15 [size =\"13533184\"]\n  6 [size=\"38096896\", alpha=\"0.10\", expect_size=\"19048448\"] \n  6 -> 15 [size =\"19048448\"]\n  7 [size=\"97437696\", alpha=\"0.11\", expect_size=\"48718848\"] \n  7 -> 15 [size =\"48718848\"]\n  8 [size=\"28063744\", alpha=\"0.04\", expect_size=\"14031872\"] \n  8 -> 13 [size =\"14031872\"]\n  8 -> 15 [size =\"14031872\"]\n  9 [size=\"99450880\", alpha=\"0.09\", expect_size=\"49725440\"] \n  9 -> 15 [size =\"49725440\"]\n  10 [size=\"11393024\", alpha=\"0.03\", expect_size=\"5696512\"] \n  11 [size=\"80666624\", alpha=\"0.15\", expect_size=\"40333312\"] \n  11 -> 14 [size =\"40333312\"]\n  12 [size=\"36382720\", alpha=\"0.19\", expect_size=\"18191360\"] \n  12 -> 13 [size =\"18191360\"]\n  12 -> 15 [size =\"18191360\"]\n  13 [size=\"85489664\", alpha=\"0.18\", expect_size=\"42744832\"] \n  14 [size=\"42035200\", alpha=\"0.17\", expect_size=\"21017600\"] \n  15 [size=\"25622528\", alpha=\"0.01\", expect_size=\"12811264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31920128\", alpha=\"0.07\", expect_size=\"15960064\"] \n  1 -> 9 [size =\"15960064\"]\n  1 -> 10 [size =\"15960064\"]\n  1 -> 12 [size =\"15960064\"]\n  2 [size=\"49537024\", alpha=\"0.19\", expect_size=\"24768512\"] \n  2 -> 7 [size =\"24768512\"]\n  2 -> 8 [size =\"24768512\"]\n  2 -> 9 [size =\"24768512\"]\n  2 -> 11 [size =\"24768512\"]\n  3 [size=\"21993472\", alpha=\"0.10\", expect_size=\"10996736\"] \n  3 -> 10 [size =\"10996736\"]\n  4 [size=\"33212416\", alpha=\"0.13\", expect_size=\"16606208\"] \n  4 -> 7 [size =\"16606208\"]\n  4 -> 11 [size =\"16606208\"]\n  4 -> 12 [size =\"16606208\"]\n  5 [size=\"22814720\", alpha=\"0.16\", expect_size=\"11407360\"] \n  6 [size=\"37722112\", alpha=\"0.11\", expect_size=\"18861056\"] \n  6 -> 10 [size =\"18861056\"]\n  7 [size=\"63703040\", alpha=\"0.08\", expect_size=\"31851520\"] \n  7 -> 13 [size =\"31851520\"]\n  8 [size=\"12347392\", alpha=\"0.07\", expect_size=\"6173696\"] \n  8 -> 15 [size =\"6173696\"]\n  9 [size=\"82878464\", alpha=\"0.03\", expect_size=\"41439232\"] \n  10 [size=\"53223424\", alpha=\"0.14\", expect_size=\"26611712\"] \n  11 [size=\"73168896\", alpha=\"0.12\", expect_size=\"36584448\"] \n  11 -> 14 [size =\"36584448\"]\n  12 [size=\"13058048\", alpha=\"0.04\", expect_size=\"6529024\"] \n  13 [size=\"10663936\", alpha=\"0.05\", expect_size=\"5331968\"] \n  14 [size=\"57419776\", alpha=\"0.03\", expect_size=\"28709888\"] \n  15 [size=\"24848384\", alpha=\"0.09\", expect_size=\"12424192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78533120\", alpha=\"0.17\", expect_size=\"31413248\"] \n  1 -> 2 [size =\"31413248\"]\n  2 [size=\"93383680\", alpha=\"0.04\", expect_size=\"37353472\"] \n  2 -> 3 [size =\"37353472\"]\n  3 [size=\"34186240\", alpha=\"0.13\", expect_size=\"13674496\"] \n  3 -> 4 [size =\"13674496\"]\n  4 [size=\"129441280\", alpha=\"0.16\", expect_size=\"51776512\"] \n  4 -> 5 [size =\"51776512\"]\n  5 [size=\"32737280\", alpha=\"0.15\", expect_size=\"13094912\"] \n  5 -> 6 [size =\"13094912\"]\n  6 [size=\"95022080\", alpha=\"0.03\", expect_size=\"38008832\"] \n  6 -> 7 [size =\"38008832\"]\n  7 [size=\"73546240\", alpha=\"0.08\", expect_size=\"29418496\"] \n  7 -> 8 [size =\"29418496\"]\n  8 [size=\"109672960\", alpha=\"0.02\", expect_size=\"43869184\"] \n  8 -> 9 [size =\"43869184\"]\n  9 [size=\"119987200\", alpha=\"0.04\", expect_size=\"47994880\"] \n  9 -> 10 [size =\"47994880\"]\n  10 [size=\"98923520\", alpha=\"0.14\", expect_size=\"39569408\"] \n  10 -> 11 [size =\"39569408\"]\n  11 [size=\"56545280\", alpha=\"0.08\", expect_size=\"22618112\"] \n  11 -> 12 [size =\"22618112\"]\n  12 [size=\"38620160\", alpha=\"0.11\", expect_size=\"15448064\"] \n  12 -> 13 [size =\"15448064\"]\n  13 [size=\"63265280\", alpha=\"0.18\", expect_size=\"25306112\"] \n  13 -> 14 [size =\"25306112\"]\n  14 [size=\"24163840\", alpha=\"0.20\", expect_size=\"9665536\"] \n  14 -> 15 [size =\"9665536\"]\n  15 [size=\"116080640\", alpha=\"0.06\", expect_size=\"46432256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58251264\", alpha=\"0.05\", expect_size=\"29125632\"] \n  1 -> 8 [size =\"29125632\"]\n  1 -> 9 [size =\"29125632\"]\n  2 [size=\"91269120\", alpha=\"0.14\", expect_size=\"45634560\"] \n  2 -> 6 [size =\"45634560\"]\n  2 -> 9 [size =\"45634560\"]\n  3 [size=\"100911104\", alpha=\"0.13\", expect_size=\"50455552\"] \n  3 -> 6 [size =\"50455552\"]\n  3 -> 9 [size =\"50455552\"]\n  4 [size=\"42846208\", alpha=\"0.02\", expect_size=\"21423104\"] \n  4 -> 8 [size =\"21423104\"]\n  5 [size=\"54382592\", alpha=\"0.17\", expect_size=\"27191296\"] \n  5 -> 7 [size =\"27191296\"]\n  6 [size=\"63004672\", alpha=\"0.07\", expect_size=\"31502336\"] \n  6 -> 11 [size =\"31502336\"]\n  6 -> 12 [size =\"31502336\"]\n  6 -> 13 [size =\"31502336\"]\n  6 -> 14 [size =\"31502336\"]\n  7 [size=\"83593216\", alpha=\"0.18\", expect_size=\"41796608\"] \n  7 -> 12 [size =\"41796608\"]\n  7 -> 13 [size =\"41796608\"]\n  7 -> 15 [size =\"41796608\"]\n  8 [size=\"98293760\", alpha=\"0.14\", expect_size=\"49146880\"] \n  8 -> 11 [size =\"49146880\"]\n  8 -> 15 [size =\"49146880\"]\n  9 [size=\"61409280\", alpha=\"0.07\", expect_size=\"30704640\"] \n  9 -> 10 [size =\"30704640\"]\n  10 [size=\"48723968\", alpha=\"0.12\", expect_size=\"24361984\"] \n  11 [size=\"41093120\", alpha=\"0.04\", expect_size=\"20546560\"] \n  12 [size=\"64030720\", alpha=\"0.10\", expect_size=\"32015360\"] \n  13 [size=\"35039232\", alpha=\"0.02\", expect_size=\"17519616\"] \n  14 [size=\"95309824\", alpha=\"0.04\", expect_size=\"47654912\"] \n  15 [size=\"11913216\", alpha=\"0.15\", expect_size=\"5956608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16476160\", alpha=\"0.10\", expect_size=\"6590464\"] \n  1 -> 11 [size =\"6590464\"]\n  1 -> 13 [size =\"6590464\"]\n  2 [size=\"35479040\", alpha=\"0.08\", expect_size=\"14191616\"] \n  2 -> 12 [size =\"14191616\"]\n  2 -> 14 [size =\"14191616\"]\n  2 -> 15 [size =\"14191616\"]\n  3 [size=\"108618240\", alpha=\"0.12\", expect_size=\"43447296\"] \n  3 -> 13 [size =\"43447296\"]\n  4 [size=\"68485120\", alpha=\"0.15\", expect_size=\"27394048\"] \n  4 -> 11 [size =\"27394048\"]\n  5 [size=\"84802560\", alpha=\"0.18\", expect_size=\"33921024\"] \n  5 -> 11 [size =\"33921024\"]\n  6 [size=\"119969280\", alpha=\"0.06\", expect_size=\"47987712\"] \n  6 -> 13 [size =\"47987712\"]\n  6 -> 14 [size =\"47987712\"]\n  7 [size=\"72007680\", alpha=\"0.13\", expect_size=\"28803072\"] \n  7 -> 11 [size =\"28803072\"]\n  7 -> 13 [size =\"28803072\"]\n  8 [size=\"31280640\", alpha=\"0.11\", expect_size=\"12512256\"] \n  8 -> 14 [size =\"12512256\"]\n  9 [size=\"86169600\", alpha=\"0.14\", expect_size=\"34467840\"] \n  10 [size=\"15278080\", alpha=\"0.15\", expect_size=\"6111232\"] \n  10 -> 12 [size =\"6111232\"]\n  11 [size=\"19760640\", alpha=\"0.18\", expect_size=\"7904256\"] \n  12 [size=\"78988800\", alpha=\"0.10\", expect_size=\"31595520\"] \n  13 [size=\"123740160\", alpha=\"0.03\", expect_size=\"49496064\"] \n  14 [size=\"78174720\", alpha=\"0.16\", expect_size=\"31269888\"] \n  15 [size=\"47303680\", alpha=\"0.03\", expect_size=\"18921472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109345280\", alpha=\"0.09\", expect_size=\"43738112\"] \n  1 -> 2 [size =\"43738112\"]\n  2 [size=\"53680640\", alpha=\"0.03\", expect_size=\"21472256\"] \n  2 -> 3 [size =\"21472256\"]\n  3 [size=\"73154560\", alpha=\"0.08\", expect_size=\"29261824\"] \n  3 -> 4 [size =\"29261824\"]\n  4 [size=\"115696640\", alpha=\"0.01\", expect_size=\"46278656\"] \n  4 -> 5 [size =\"46278656\"]\n  5 [size=\"53977600\", alpha=\"0.03\", expect_size=\"21591040\"] \n  5 -> 6 [size =\"21591040\"]\n  6 [size=\"119155200\", alpha=\"0.01\", expect_size=\"47662080\"] \n  6 -> 7 [size =\"47662080\"]\n  7 [size=\"17164800\", alpha=\"0.08\", expect_size=\"6865920\"] \n  7 -> 8 [size =\"6865920\"]\n  8 [size=\"91870720\", alpha=\"0.18\", expect_size=\"36748288\"] \n  8 -> 9 [size =\"36748288\"]\n  9 [size=\"82803200\", alpha=\"0.00\", expect_size=\"33121280\"] \n  9 -> 10 [size =\"33121280\"]\n  10 [size=\"117772800\", alpha=\"0.17\", expect_size=\"47109120\"] \n  10 -> 11 [size =\"47109120\"]\n  11 [size=\"128993280\", alpha=\"0.12\", expect_size=\"51597312\"] \n  11 -> 12 [size =\"51597312\"]\n  12 [size=\"62899200\", alpha=\"0.05\", expect_size=\"25159680\"] \n  12 -> 13 [size =\"25159680\"]\n  13 [size=\"80696320\", alpha=\"0.07\", expect_size=\"32278528\"] \n  13 -> 14 [size =\"32278528\"]\n  14 [size=\"128481280\", alpha=\"0.07\", expect_size=\"51392512\"] \n  14 -> 15 [size =\"51392512\"]\n  15 [size=\"16427520\", alpha=\"0.14\", expect_size=\"6571008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28177067\", alpha=\"0.10\", expect_size=\"8453120\"] \n  1 -> 4 [size =\"8453120\"]\n  2 [size=\"121623893\", alpha=\"0.05\", expect_size=\"36487168\"] \n  2 -> 3 [size =\"36487168\"]\n  2 -> 4 [size =\"36487168\"]\n  2 -> 5 [size =\"36487168\"]\n  3 [size=\"89565867\", alpha=\"0.05\", expect_size=\"26869760\"] \n  3 -> 7 [size =\"26869760\"]\n  4 [size=\"115360427\", alpha=\"0.15\", expect_size=\"34608128\"] \n  4 -> 7 [size =\"34608128\"]\n  5 [size=\"170496000\", alpha=\"0.13\", expect_size=\"51148800\"] \n  5 -> 6 [size =\"51148800\"]\n  6 [size=\"93528747\", alpha=\"0.07\", expect_size=\"28058624\"] \n  6 -> 8 [size =\"28058624\"]\n  6 -> 9 [size =\"28058624\"]\n  7 [size=\"92412587\", alpha=\"0.05\", expect_size=\"27723776\"] \n  7 -> 8 [size =\"27723776\"]\n  7 -> 9 [size =\"27723776\"]\n  8 [size=\"30423040\", alpha=\"0.03\", expect_size=\"9126912\"] \n  8 -> 10 [size =\"9126912\"]\n  8 -> 12 [size =\"9126912\"]\n  9 [size=\"35389440\", alpha=\"0.08\", expect_size=\"10616832\"] \n  9 -> 11 [size =\"10616832\"]\n  10 [size=\"104034987\", alpha=\"0.09\", expect_size=\"31210496\"] \n  11 [size=\"30661973\", alpha=\"0.10\", expect_size=\"9198592\"] \n  11 -> 13 [size =\"9198592\"]\n  12 [size=\"106100053\", alpha=\"0.12\", expect_size=\"31830016\"] \n  12 -> 14 [size =\"31830016\"]\n  13 [size=\"148026027\", alpha=\"0.04\", expect_size=\"44407808\"] \n  13 -> 15 [size =\"44407808\"]\n  14 [size=\"28740267\", alpha=\"0.04\", expect_size=\"8622080\"] \n  14 -> 15 [size =\"8622080\"]\n  15 [size=\"144824320\", alpha=\"0.20\", expect_size=\"43447296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89420800\", alpha=\"0.10\", expect_size=\"35768320\"] \n  1 -> 2 [size =\"35768320\"]\n  2 [size=\"25879040\", alpha=\"0.19\", expect_size=\"10351616\"] \n  2 -> 3 [size =\"10351616\"]\n  3 [size=\"38594560\", alpha=\"0.08\", expect_size=\"15437824\"] \n  3 -> 4 [size =\"15437824\"]\n  4 [size=\"45731840\", alpha=\"0.08\", expect_size=\"18292736\"] \n  4 -> 5 [size =\"18292736\"]\n  5 [size=\"85667840\", alpha=\"0.08\", expect_size=\"34267136\"] \n  5 -> 6 [size =\"34267136\"]\n  6 [size=\"113072640\", alpha=\"0.18\", expect_size=\"45229056\"] \n  6 -> 7 [size =\"45229056\"]\n  7 [size=\"35594240\", alpha=\"0.01\", expect_size=\"14237696\"] \n  7 -> 8 [size =\"14237696\"]\n  8 [size=\"37160960\", alpha=\"0.04\", expect_size=\"14864384\"] \n  8 -> 9 [size =\"14864384\"]\n  9 [size=\"112808960\", alpha=\"0.17\", expect_size=\"45123584\"] \n  9 -> 10 [size =\"45123584\"]\n  10 [size=\"46689280\", alpha=\"0.18\", expect_size=\"18675712\"] \n  10 -> 11 [size =\"18675712\"]\n  11 [size=\"112296960\", alpha=\"0.07\", expect_size=\"44918784\"] \n  11 -> 12 [size =\"44918784\"]\n  12 [size=\"52185600\", alpha=\"0.13\", expect_size=\"20874240\"] \n  12 -> 13 [size =\"20874240\"]\n  13 [size=\"44247040\", alpha=\"0.01\", expect_size=\"17698816\"] \n  13 -> 14 [size =\"17698816\"]\n  14 [size=\"89128960\", alpha=\"0.19\", expect_size=\"35651584\"] \n  14 -> 15 [size =\"35651584\"]\n  15 [size=\"15782400\", alpha=\"0.14\", expect_size=\"6312960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90402816\", alpha=\"0.14\", expect_size=\"45201408\"] \n  2 [size=\"55736320\", alpha=\"0.20\", expect_size=\"27868160\"] \n  3 [size=\"80875520\", alpha=\"0.06\", expect_size=\"40437760\"] \n  4 [size=\"76277760\", alpha=\"0.07\", expect_size=\"38138880\"] \n  5 [size=\"25761792\", alpha=\"0.02\", expect_size=\"12880896\"] \n  6 [size=\"42985472\", alpha=\"0.00\", expect_size=\"21492736\"] \n  7 [size=\"21331968\", alpha=\"0.07\", expect_size=\"10665984\"] \n  8 [size=\"37703680\", alpha=\"0.15\", expect_size=\"18851840\"] \n  9 [size=\"94105600\", alpha=\"0.01\", expect_size=\"47052800\"] \n  10 [size=\"99518464\", alpha=\"0.12\", expect_size=\"49759232\"] \n  11 [size=\"96063488\", alpha=\"0.01\", expect_size=\"48031744\"] \n  12 [size=\"69167104\", alpha=\"0.00\", expect_size=\"34583552\"] \n  13 [size=\"66859008\", alpha=\"0.06\", expect_size=\"33429504\"] \n  14 [size=\"96692224\", alpha=\"0.11\", expect_size=\"48346112\"] \n  15 [size=\"37185536\", alpha=\"0.02\", expect_size=\"18592768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128540160\", alpha=\"0.12\", expect_size=\"51416064\"] \n  1 -> 3 [size =\"51416064\"]\n  1 -> 4 [size =\"51416064\"]\n  2 [size=\"32417280\", alpha=\"0.10\", expect_size=\"12966912\"] \n  2 -> 3 [size =\"12966912\"]\n  2 -> 4 [size =\"12966912\"]\n  3 [size=\"70538240\", alpha=\"0.01\", expect_size=\"28215296\"] \n  3 -> 5 [size =\"28215296\"]\n  3 -> 6 [size =\"28215296\"]\n  4 [size=\"117255680\", alpha=\"0.14\", expect_size=\"46902272\"] \n  4 -> 6 [size =\"46902272\"]\n  5 [size=\"123407360\", alpha=\"0.07\", expect_size=\"49362944\"] \n  5 -> 7 [size =\"49362944\"]\n  6 [size=\"36380160\", alpha=\"0.14\", expect_size=\"14552064\"] \n  7 [size=\"119237120\", alpha=\"0.03\", expect_size=\"47694848\"] \n  7 -> 8 [size =\"47694848\"]\n  7 -> 9 [size =\"47694848\"]\n  8 [size=\"109158400\", alpha=\"0.17\", expect_size=\"43663360\"] \n  8 -> 10 [size =\"43663360\"]\n  9 [size=\"56522240\", alpha=\"0.13\", expect_size=\"22608896\"] \n  9 -> 10 [size =\"22608896\"]\n  10 [size=\"103296000\", alpha=\"0.10\", expect_size=\"41318400\"] \n  10 -> 11 [size =\"41318400\"]\n  10 -> 12 [size =\"41318400\"]\n  11 [size=\"87142400\", alpha=\"0.04\", expect_size=\"34856960\"] \n  11 -> 13 [size =\"34856960\"]\n  11 -> 14 [size =\"34856960\"]\n  12 [size=\"38407680\", alpha=\"0.09\", expect_size=\"15363072\"] \n  12 -> 14 [size =\"15363072\"]\n  13 [size=\"100016640\", alpha=\"0.13\", expect_size=\"40006656\"] \n  13 -> 15 [size =\"40006656\"]\n  14 [size=\"105571840\", alpha=\"0.02\", expect_size=\"42228736\"] \n  14 -> 15 [size =\"42228736\"]\n  15 [size=\"72734720\", alpha=\"0.16\", expect_size=\"29093888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33901227\", alpha=\"0.15\", expect_size=\"10170368\"] \n  1 -> 2 [size =\"10170368\"]\n  2 [size=\"66461013\", alpha=\"0.00\", expect_size=\"19938304\"] \n  2 -> 3 [size =\"19938304\"]\n  3 [size=\"58129067\", alpha=\"0.09\", expect_size=\"17438720\"] \n  3 -> 4 [size =\"17438720\"]\n  4 [size=\"144633173\", alpha=\"0.19\", expect_size=\"43389952\"] \n  4 -> 5 [size =\"43389952\"]\n  5 [size=\"145681067\", alpha=\"0.04\", expect_size=\"43704320\"] \n  5 -> 6 [size =\"43704320\"]\n  6 [size=\"23128747\", alpha=\"0.08\", expect_size=\"6938624\"] \n  6 -> 7 [size =\"6938624\"]\n  6 -> 8 [size =\"6938624\"]\n  7 [size=\"144786773\", alpha=\"0.14\", expect_size=\"43436032\"] \n  8 [size=\"174090240\", alpha=\"0.18\", expect_size=\"52227072\"] \n  8 -> 9 [size =\"52227072\"]\n  8 -> 10 [size =\"52227072\"]\n  9 [size=\"79312213\", alpha=\"0.14\", expect_size=\"23793664\"] \n  10 [size=\"78243840\", alpha=\"0.13\", expect_size=\"23473152\"] \n  10 -> 11 [size =\"23473152\"]\n  10 -> 12 [size =\"23473152\"]\n  11 [size=\"109045760\", alpha=\"0.16\", expect_size=\"32713728\"] \n  11 -> 13 [size =\"32713728\"]\n  11 -> 14 [size =\"32713728\"]\n  12 [size=\"66863787\", alpha=\"0.18\", expect_size=\"20059136\"] \n  12 -> 13 [size =\"20059136\"]\n  12 -> 14 [size =\"20059136\"]\n  13 [size=\"69317973\", alpha=\"0.12\", expect_size=\"20795392\"] \n  13 -> 15 [size =\"20795392\"]\n  14 [size=\"140257280\", alpha=\"0.15\", expect_size=\"42077184\"] \n  14 -> 15 [size =\"42077184\"]\n  15 [size=\"135823360\", alpha=\"0.20\", expect_size=\"40747008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120791040\", alpha=\"0.19\", expect_size=\"48316416\"] \n  2 [size=\"89382400\", alpha=\"0.18\", expect_size=\"35752960\"] \n  2 -> 4 [size =\"35752960\"]\n  2 -> 5 [size =\"35752960\"]\n  3 [size=\"67937280\", alpha=\"0.10\", expect_size=\"27174912\"] \n  4 [size=\"119790080\", alpha=\"0.12\", expect_size=\"47916032\"] \n  4 -> 6 [size =\"47916032\"]\n  5 [size=\"103631360\", alpha=\"0.07\", expect_size=\"41452544\"] \n  5 -> 6 [size =\"41452544\"]\n  5 -> 7 [size =\"41452544\"]\n  6 [size=\"17984000\", alpha=\"0.02\", expect_size=\"7193600\"] \n  6 -> 8 [size =\"7193600\"]\n  6 -> 9 [size =\"7193600\"]\n  6 -> 10 [size =\"7193600\"]\n  7 [size=\"90268160\", alpha=\"0.03\", expect_size=\"36107264\"] \n  7 -> 8 [size =\"36107264\"]\n  7 -> 9 [size =\"36107264\"]\n  7 -> 10 [size =\"36107264\"]\n  8 [size=\"47083520\", alpha=\"0.06\", expect_size=\"18833408\"] \n  8 -> 13 [size =\"18833408\"]\n  9 [size=\"77201920\", alpha=\"0.16\", expect_size=\"30880768\"] \n  9 -> 11 [size =\"30880768\"]\n  9 -> 12 [size =\"30880768\"]\n  10 [size=\"95925760\", alpha=\"0.10\", expect_size=\"38370304\"] \n  11 [size=\"17804800\", alpha=\"0.08\", expect_size=\"7121920\"] \n  11 -> 14 [size =\"7121920\"]\n  12 [size=\"14699520\", alpha=\"0.13\", expect_size=\"5879808\"] \n  13 [size=\"122078720\", alpha=\"0.10\", expect_size=\"48831488\"] \n  13 -> 14 [size =\"48831488\"]\n  13 -> 15 [size =\"48831488\"]\n  14 [size=\"63700480\", alpha=\"0.01\", expect_size=\"25480192\"] \n  15 [size=\"13596160\", alpha=\"0.16\", expect_size=\"5438464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61504000\", alpha=\"0.03\", expect_size=\"24601600\"] \n  1 -> 8 [size =\"24601600\"]\n  2 [size=\"81387520\", alpha=\"0.06\", expect_size=\"32555008\"] \n  2 -> 11 [size =\"32555008\"]\n  3 [size=\"31347200\", alpha=\"0.18\", expect_size=\"12538880\"] \n  3 -> 7 [size =\"12538880\"]\n  4 [size=\"116072960\", alpha=\"0.19\", expect_size=\"46429184\"] \n  4 -> 11 [size =\"46429184\"]\n  5 [size=\"91271680\", alpha=\"0.13\", expect_size=\"36508672\"] \n  5 -> 7 [size =\"36508672\"]\n  5 -> 8 [size =\"36508672\"]\n  5 -> 9 [size =\"36508672\"]\n  5 -> 11 [size =\"36508672\"]\n  6 [size=\"122536960\", alpha=\"0.06\", expect_size=\"49014784\"] \n  6 -> 8 [size =\"49014784\"]\n  6 -> 9 [size =\"49014784\"]\n  6 -> 10 [size =\"49014784\"]\n  7 [size=\"56545280\", alpha=\"0.17\", expect_size=\"22618112\"] \n  7 -> 12 [size =\"22618112\"]\n  8 [size=\"17088000\", alpha=\"0.08\", expect_size=\"6835200\"] \n  8 -> 13 [size =\"6835200\"]\n  8 -> 14 [size =\"6835200\"]\n  9 [size=\"67796480\", alpha=\"0.13\", expect_size=\"27118592\"] \n  9 -> 12 [size =\"27118592\"]\n  9 -> 13 [size =\"27118592\"]\n  10 [size=\"100700160\", alpha=\"0.03\", expect_size=\"40280064\"] \n  10 -> 12 [size =\"40280064\"]\n  10 -> 13 [size =\"40280064\"]\n  10 -> 15 [size =\"40280064\"]\n  11 [size=\"38755840\", alpha=\"0.09\", expect_size=\"15502336\"] \n  11 -> 15 [size =\"15502336\"]\n  12 [size=\"57973760\", alpha=\"0.03\", expect_size=\"23189504\"] \n  13 [size=\"94159360\", alpha=\"0.08\", expect_size=\"37663744\"] \n  14 [size=\"80199680\", alpha=\"0.02\", expect_size=\"32079872\"] \n  15 [size=\"74833920\", alpha=\"0.15\", expect_size=\"29933568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57080320\", alpha=\"0.07\", expect_size=\"22832128\"] \n  1 -> 5 [size =\"22832128\"]\n  1 -> 6 [size =\"22832128\"]\n  1 -> 7 [size =\"22832128\"]\n  2 [size=\"32504320\", alpha=\"0.05\", expect_size=\"13001728\"] \n  2 -> 5 [size =\"13001728\"]\n  2 -> 8 [size =\"13001728\"]\n  3 [size=\"120647680\", alpha=\"0.17\", expect_size=\"48259072\"] \n  3 -> 9 [size =\"48259072\"]\n  3 -> 10 [size =\"48259072\"]\n  4 [size=\"22581760\", alpha=\"0.09\", expect_size=\"9032704\"] \n  4 -> 5 [size =\"9032704\"]\n  5 [size=\"77480960\", alpha=\"0.09\", expect_size=\"30992384\"] \n  5 -> 13 [size =\"30992384\"]\n  5 -> 14 [size =\"30992384\"]\n  6 [size=\"73546240\", alpha=\"0.10\", expect_size=\"29418496\"] \n  6 -> 11 [size =\"29418496\"]\n  6 -> 12 [size =\"29418496\"]\n  6 -> 15 [size =\"29418496\"]\n  7 [size=\"46958080\", alpha=\"0.19\", expect_size=\"18783232\"] \n  7 -> 11 [size =\"18783232\"]\n  7 -> 12 [size =\"18783232\"]\n  7 -> 14 [size =\"18783232\"]\n  8 [size=\"99189760\", alpha=\"0.11\", expect_size=\"39675904\"] \n  8 -> 12 [size =\"39675904\"]\n  8 -> 12 [size =\"39675904\"]\n  8 -> 15 [size =\"39675904\"]\n  9 [size=\"20024320\", alpha=\"0.12\", expect_size=\"8009728\"] \n  9 -> 11 [size =\"8009728\"]\n  10 [size=\"24980480\", alpha=\"0.07\", expect_size=\"9992192\"] \n  10 -> 12 [size =\"9992192\"]\n  10 -> 14 [size =\"9992192\"]\n  11 [size=\"129326080\", alpha=\"0.09\", expect_size=\"51730432\"] \n  12 [size=\"49991680\", alpha=\"0.10\", expect_size=\"19996672\"] \n  13 [size=\"76618240\", alpha=\"0.17\", expect_size=\"30647296\"] \n  14 [size=\"61327360\", alpha=\"0.13\", expect_size=\"24530944\"] \n  15 [size=\"112404480\", alpha=\"0.07\", expect_size=\"44961792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11659264\", alpha=\"0.15\", expect_size=\"5829632\"] \n  1 -> 10 [size =\"5829632\"]\n  1 -> 11 [size =\"5829632\"]\n  1 -> 12 [size =\"5829632\"]\n  2 [size=\"46911488\", alpha=\"0.17\", expect_size=\"23455744\"] \n  2 -> 9 [size =\"23455744\"]\n  2 -> 13 [size =\"23455744\"]\n  3 [size=\"65273856\", alpha=\"0.04\", expect_size=\"32636928\"] \n  3 -> 9 [size =\"32636928\"]\n  3 -> 11 [size =\"32636928\"]\n  4 [size=\"46596096\", alpha=\"0.08\", expect_size=\"23298048\"] \n  4 -> 8 [size =\"23298048\"]\n  4 -> 11 [size =\"23298048\"]\n  4 -> 13 [size =\"23298048\"]\n  5 [size=\"54355968\", alpha=\"0.10\", expect_size=\"27177984\"] \n  5 -> 8 [size =\"27177984\"]\n  5 -> 10 [size =\"27177984\"]\n  5 -> 11 [size =\"27177984\"]\n  6 [size=\"95326208\", alpha=\"0.03\", expect_size=\"47663104\"] \n  6 -> 8 [size =\"47663104\"]\n  6 -> 11 [size =\"47663104\"]\n  6 -> 11 [size =\"47663104\"]\n  6 -> 12 [size =\"47663104\"]\n  7 [size=\"95043584\", alpha=\"0.14\", expect_size=\"47521792\"] \n  7 -> 9 [size =\"47521792\"]\n  7 -> 11 [size =\"47521792\"]\n  7 -> 12 [size =\"47521792\"]\n  8 [size=\"28407808\", alpha=\"0.19\", expect_size=\"14203904\"] \n  9 [size=\"100239360\", alpha=\"0.15\", expect_size=\"50119680\"] \n  10 [size=\"89251840\", alpha=\"0.06\", expect_size=\"44625920\"] \n  11 [size=\"88340480\", alpha=\"0.15\", expect_size=\"44170240\"] \n  11 -> 14 [size =\"44170240\"]\n  11 -> 15 [size =\"44170240\"]\n  12 [size=\"66600960\", alpha=\"0.19\", expect_size=\"33300480\"] \n  12 -> 15 [size =\"33300480\"]\n  13 [size=\"51240960\", alpha=\"0.05\", expect_size=\"25620480\"] \n  13 -> 15 [size =\"25620480\"]\n  14 [size=\"69615616\", alpha=\"0.04\", expect_size=\"34807808\"] \n  15 [size=\"14565376\", alpha=\"0.05\", expect_size=\"7282688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66521088\", alpha=\"0.07\", expect_size=\"33260544\"] \n  1 -> 10 [size =\"33260544\"]\n  1 -> 15 [size =\"33260544\"]\n  2 [size=\"30218240\", alpha=\"0.15\", expect_size=\"15109120\"] \n  2 -> 12 [size =\"15109120\"]\n  2 -> 15 [size =\"15109120\"]\n  3 [size=\"52551680\", alpha=\"0.17\", expect_size=\"26275840\"] \n  3 -> 13 [size =\"26275840\"]\n  3 -> 14 [size =\"26275840\"]\n  3 -> 15 [size =\"26275840\"]\n  4 [size=\"59154432\", alpha=\"0.01\", expect_size=\"29577216\"] \n  4 -> 14 [size =\"29577216\"]\n  5 [size=\"47935488\", alpha=\"0.09\", expect_size=\"23967744\"] \n  5 -> 9 [size =\"23967744\"]\n  5 -> 11 [size =\"23967744\"]\n  6 [size=\"58779648\", alpha=\"0.17\", expect_size=\"29389824\"] \n  6 -> 10 [size =\"29389824\"]\n  6 -> 11 [size =\"29389824\"]\n  6 -> 13 [size =\"29389824\"]\n  7 [size=\"39542784\", alpha=\"0.15\", expect_size=\"19771392\"] \n  7 -> 10 [size =\"19771392\"]\n  7 -> 11 [size =\"19771392\"]\n  7 -> 13 [size =\"19771392\"]\n  8 [size=\"51271680\", alpha=\"0.11\", expect_size=\"25635840\"] \n  8 -> 10 [size =\"25635840\"]\n  8 -> 11 [size =\"25635840\"]\n  8 -> 13 [size =\"25635840\"]\n  9 [size=\"92063744\", alpha=\"0.00\", expect_size=\"46031872\"] \n  10 [size=\"92248064\", alpha=\"0.01\", expect_size=\"46124032\"] \n  11 [size=\"32442368\", alpha=\"0.04\", expect_size=\"16221184\"] \n  12 [size=\"65918976\", alpha=\"0.16\", expect_size=\"32959488\"] \n  13 [size=\"43038720\", alpha=\"0.11\", expect_size=\"21519360\"] \n  14 [size=\"29245440\", alpha=\"0.15\", expect_size=\"14622720\"] \n  15 [size=\"32751616\", alpha=\"0.13\", expect_size=\"16375808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95516160\", alpha=\"0.04\", expect_size=\"38206464\"] \n  1 -> 13 [size =\"38206464\"]\n  1 -> 14 [size =\"38206464\"]\n  2 [size=\"30812160\", alpha=\"0.17\", expect_size=\"12324864\"] \n  2 -> 13 [size =\"12324864\"]\n  2 -> 14 [size =\"12324864\"]\n  3 [size=\"19688960\", alpha=\"0.17\", expect_size=\"7875584\"] \n  3 -> 11 [size =\"7875584\"]\n  3 -> 13 [size =\"7875584\"]\n  3 -> 14 [size =\"7875584\"]\n  4 [size=\"111989760\", alpha=\"0.13\", expect_size=\"44795904\"] \n  4 -> 12 [size =\"44795904\"]\n  4 -> 13 [size =\"44795904\"]\n  4 -> 15 [size =\"44795904\"]\n  5 [size=\"116720640\", alpha=\"0.06\", expect_size=\"46688256\"] \n  5 -> 12 [size =\"46688256\"]\n  5 -> 14 [size =\"46688256\"]\n  6 [size=\"76569600\", alpha=\"0.04\", expect_size=\"30627840\"] \n  6 -> 11 [size =\"30627840\"]\n  7 [size=\"125122560\", alpha=\"0.13\", expect_size=\"50049024\"] \n  7 -> 11 [size =\"50049024\"]\n  7 -> 12 [size =\"50049024\"]\n  8 [size=\"33213440\", alpha=\"0.20\", expect_size=\"13285376\"] \n  8 -> 13 [size =\"13285376\"]\n  8 -> 14 [size =\"13285376\"]\n  9 [size=\"45995520\", alpha=\"0.14\", expect_size=\"18398208\"] \n  9 -> 11 [size =\"18398208\"]\n  9 -> 13 [size =\"18398208\"]\n  9 -> 14 [size =\"18398208\"]\n  10 [size=\"70609920\", alpha=\"0.19\", expect_size=\"28243968\"] \n  10 -> 13 [size =\"28243968\"]\n  11 [size=\"34117120\", alpha=\"0.15\", expect_size=\"13646848\"] \n  12 [size=\"60144640\", alpha=\"0.12\", expect_size=\"24057856\"] \n  13 [size=\"41866240\", alpha=\"0.10\", expect_size=\"16746496\"] \n  14 [size=\"26498560\", alpha=\"0.10\", expect_size=\"10599424\"] \n  15 [size=\"101655040\", alpha=\"0.06\", expect_size=\"40662016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135758507\", alpha=\"0.06\", expect_size=\"40727552\"] \n  1 -> 6 [size =\"40727552\"]\n  1 -> 7 [size =\"40727552\"]\n  1 -> 8 [size =\"40727552\"]\n  1 -> 9 [size =\"40727552\"]\n  2 [size=\"160846507\", alpha=\"0.19\", expect_size=\"48253952\"] \n  2 -> 7 [size =\"48253952\"]\n  2 -> 7 [size =\"48253952\"]\n  2 -> 9 [size =\"48253952\"]\n  3 [size=\"123030187\", alpha=\"0.16\", expect_size=\"36909056\"] \n  3 -> 6 [size =\"36909056\"]\n  3 -> 8 [size =\"36909056\"]\n  3 -> 9 [size =\"36909056\"]\n  3 -> 10 [size =\"36909056\"]\n  3 -> 11 [size =\"36909056\"]\n  4 [size=\"125839360\", alpha=\"0.17\", expect_size=\"37751808\"] \n  4 -> 6 [size =\"37751808\"]\n  4 -> 7 [size =\"37751808\"]\n  4 -> 8 [size =\"37751808\"]\n  4 -> 9 [size =\"37751808\"]\n  4 -> 11 [size =\"37751808\"]\n  5 [size=\"45568000\", alpha=\"0.07\", expect_size=\"13670400\"] \n  5 -> 6 [size =\"13670400\"]\n  5 -> 7 [size =\"13670400\"]\n  5 -> 8 [size =\"13670400\"]\n  5 -> 9 [size =\"13670400\"]\n  5 -> 11 [size =\"13670400\"]\n  6 [size=\"56333653\", alpha=\"0.03\", expect_size=\"16900096\"] \n  6 -> 12 [size =\"16900096\"]\n  6 -> 14 [size =\"16900096\"]\n  6 -> 15 [size =\"16900096\"]\n  7 [size=\"20637013\", alpha=\"0.16\", expect_size=\"6191104\"] \n  7 -> 12 [size =\"6191104\"]\n  7 -> 14 [size =\"6191104\"]\n  7 -> 15 [size =\"6191104\"]\n  8 [size=\"141765973\", alpha=\"0.08\", expect_size=\"42529792\"] \n  8 -> 14 [size =\"42529792\"]\n  8 -> 15 [size =\"42529792\"]\n  9 [size=\"145032533\", alpha=\"0.19\", expect_size=\"43509760\"] \n  9 -> 15 [size =\"43509760\"]\n  10 [size=\"117521067\", alpha=\"0.17\", expect_size=\"35256320\"] \n  10 -> 12 [size =\"35256320\"]\n  10 -> 13 [size =\"35256320\"]\n  10 -> 14 [size =\"35256320\"]\n  10 -> 15 [size =\"35256320\"]\n  11 [size=\"55569067\", alpha=\"0.18\", expect_size=\"16670720\"] \n  11 -> 12 [size =\"16670720\"]\n  11 -> 14 [size =\"16670720\"]\n  11 -> 15 [size =\"16670720\"]\n  12 [size=\"104669867\", alpha=\"0.02\", expect_size=\"31400960\"] \n  13 [size=\"100266667\", alpha=\"0.10\", expect_size=\"30080000\"] \n  14 [size=\"72546987\", alpha=\"0.06\", expect_size=\"21764096\"] \n  15 [size=\"49455787\", alpha=\"0.13\", expect_size=\"14836736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129822720\", alpha=\"0.18\", expect_size=\"38946816\"] \n  1 -> 11 [size =\"38946816\"]\n  2 [size=\"136577707\", alpha=\"0.06\", expect_size=\"40973312\"] \n  2 -> 11 [size =\"40973312\"]\n  2 -> 13 [size =\"40973312\"]\n  2 -> 14 [size =\"40973312\"]\n  3 [size=\"31156907\", alpha=\"0.08\", expect_size=\"9347072\"] \n  4 [size=\"41434453\", alpha=\"0.18\", expect_size=\"12430336\"] \n  4 -> 13 [size =\"12430336\"]\n  4 -> 15 [size =\"12430336\"]\n  5 [size=\"71266987\", alpha=\"0.14\", expect_size=\"21380096\"] \n  5 -> 11 [size =\"21380096\"]\n  5 -> 15 [size =\"21380096\"]\n  6 [size=\"75076267\", alpha=\"0.20\", expect_size=\"22522880\"] \n  6 -> 13 [size =\"22522880\"]\n  6 -> 14 [size =\"22522880\"]\n  7 [size=\"146411520\", alpha=\"0.13\", expect_size=\"43923456\"] \n  7 -> 11 [size =\"43923456\"]\n  7 -> 13 [size =\"43923456\"]\n  8 [size=\"101812907\", alpha=\"0.18\", expect_size=\"30543872\"] \n  8 -> 13 [size =\"30543872\"]\n  8 -> 15 [size =\"30543872\"]\n  9 [size=\"149575680\", alpha=\"0.03\", expect_size=\"44872704\"] \n  9 -> 15 [size =\"44872704\"]\n  10 [size=\"28695893\", alpha=\"0.04\", expect_size=\"8608768\"] \n  10 -> 11 [size =\"8608768\"]\n  10 -> 12 [size =\"8608768\"]\n  11 [size=\"148056747\", alpha=\"0.12\", expect_size=\"44417024\"] \n  12 [size=\"131409920\", alpha=\"0.15\", expect_size=\"39422976\"] \n  13 [size=\"25101653\", alpha=\"0.12\", expect_size=\"7530496\"] \n  14 [size=\"91426133\", alpha=\"0.12\", expect_size=\"27427840\"] \n  15 [size=\"75915947\", alpha=\"0.14\", expect_size=\"22774784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152248320\", alpha=\"0.14\", expect_size=\"45674496\"] \n  1 -> 4 [size =\"45674496\"]\n  1 -> 5 [size =\"45674496\"]\n  2 [size=\"97894400\", alpha=\"0.10\", expect_size=\"29368320\"] \n  2 -> 3 [size =\"29368320\"]\n  3 [size=\"142677333\", alpha=\"0.07\", expect_size=\"42803200\"] \n  3 -> 6 [size =\"42803200\"]\n  3 -> 8 [size =\"42803200\"]\n  4 [size=\"20531200\", alpha=\"0.18\", expect_size=\"6159360\"] \n  4 -> 7 [size =\"6159360\"]\n  4 -> 8 [size =\"6159360\"]\n  5 [size=\"99734187\", alpha=\"0.19\", expect_size=\"29920256\"] \n  6 [size=\"55391573\", alpha=\"0.16\", expect_size=\"16617472\"] \n  6 -> 10 [size =\"16617472\"]\n  7 [size=\"129761280\", alpha=\"0.05\", expect_size=\"38928384\"] \n  7 -> 9 [size =\"38928384\"]\n  8 [size=\"33184427\", alpha=\"0.14\", expect_size=\"9955328\"] \n  8 -> 9 [size =\"9955328\"]\n  8 -> 11 [size =\"9955328\"]\n  9 [size=\"113271467\", alpha=\"0.06\", expect_size=\"33981440\"] \n  9 -> 12 [size =\"33981440\"]\n  10 [size=\"84828160\", alpha=\"0.01\", expect_size=\"25448448\"] \n  10 -> 13 [size =\"25448448\"]\n  11 [size=\"116070400\", alpha=\"0.09\", expect_size=\"34821120\"] \n  11 -> 12 [size =\"34821120\"]\n  11 -> 14 [size =\"34821120\"]\n  12 [size=\"68573867\", alpha=\"0.08\", expect_size=\"20572160\"] \n  13 [size=\"143523840\", alpha=\"0.18\", expect_size=\"43057152\"] \n  13 -> 15 [size =\"43057152\"]\n  14 [size=\"37519360\", alpha=\"0.20\", expect_size=\"11255808\"] \n  15 [size=\"21183147\", alpha=\"0.16\", expect_size=\"6354944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61693440\", alpha=\"0.04\", expect_size=\"24677376\"] \n  2 [size=\"87541760\", alpha=\"0.02\", expect_size=\"35016704\"] \n  3 [size=\"13693440\", alpha=\"0.04\", expect_size=\"5477376\"] \n  4 [size=\"67417600\", alpha=\"0.02\", expect_size=\"26967040\"] \n  5 [size=\"26009600\", alpha=\"0.19\", expect_size=\"10403840\"] \n  6 [size=\"122467840\", alpha=\"0.08\", expect_size=\"48987136\"] \n  7 [size=\"89080320\", alpha=\"0.17\", expect_size=\"35632128\"] \n  8 [size=\"67919360\", alpha=\"0.14\", expect_size=\"27167744\"] \n  9 [size=\"107921920\", alpha=\"0.10\", expect_size=\"43168768\"] \n  10 [size=\"75714560\", alpha=\"0.17\", expect_size=\"30285824\"] \n  11 [size=\"75287040\", alpha=\"0.06\", expect_size=\"30114816\"] \n  12 [size=\"96053760\", alpha=\"0.08\", expect_size=\"38421504\"] \n  13 [size=\"105689600\", alpha=\"0.15\", expect_size=\"42275840\"] \n  14 [size=\"127395840\", alpha=\"0.01\", expect_size=\"50958336\"] \n  15 [size=\"21550080\", alpha=\"0.07\", expect_size=\"8620032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51507200\", alpha=\"0.20\", expect_size=\"15452160\"] \n  1 -> 3 [size =\"15452160\"]\n  2 [size=\"70584320\", alpha=\"0.10\", expect_size=\"21175296\"] \n  3 [size=\"156214613\", alpha=\"0.12\", expect_size=\"46864384\"] \n  3 -> 4 [size =\"46864384\"]\n  4 [size=\"61395627\", alpha=\"0.05\", expect_size=\"18418688\"] \n  4 -> 5 [size =\"18418688\"]\n  5 [size=\"77813760\", alpha=\"0.05\", expect_size=\"23344128\"] \n  5 -> 6 [size =\"23344128\"]\n  5 -> 7 [size =\"23344128\"]\n  6 [size=\"125788160\", alpha=\"0.03\", expect_size=\"37736448\"] \n  6 -> 8 [size =\"37736448\"]\n  7 [size=\"108267520\", alpha=\"0.16\", expect_size=\"32480256\"] \n  7 -> 8 [size =\"32480256\"]\n  8 [size=\"39365973\", alpha=\"0.00\", expect_size=\"11809792\"] \n  8 -> 9 [size =\"11809792\"]\n  8 -> 10 [size =\"11809792\"]\n  9 [size=\"88497493\", alpha=\"0.06\", expect_size=\"26549248\"] \n  9 -> 11 [size =\"26549248\"]\n  9 -> 12 [size =\"26549248\"]\n  10 [size=\"170632533\", alpha=\"0.15\", expect_size=\"51189760\"] \n  10 -> 12 [size =\"51189760\"]\n  11 [size=\"110749013\", alpha=\"0.13\", expect_size=\"33224704\"] \n  11 -> 13 [size =\"33224704\"]\n  12 [size=\"109871787\", alpha=\"0.09\", expect_size=\"32961536\"] \n  12 -> 13 [size =\"32961536\"]\n  13 [size=\"32952320\", alpha=\"0.15\", expect_size=\"9885696\"] \n  13 -> 14 [size =\"9885696\"]\n  13 -> 15 [size =\"9885696\"]\n  14 [size=\"129324373\", alpha=\"0.04\", expect_size=\"38797312\"] \n  15 [size=\"166171307\", alpha=\"0.15\", expect_size=\"49851392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127839573\", alpha=\"0.07\", expect_size=\"38351872\"] \n  2 [size=\"61006507\", alpha=\"0.16\", expect_size=\"18301952\"] \n  2 -> 3 [size =\"18301952\"]\n  3 [size=\"88494080\", alpha=\"0.09\", expect_size=\"26548224\"] \n  3 -> 4 [size =\"26548224\"]\n  4 [size=\"151306240\", alpha=\"0.12\", expect_size=\"45391872\"] \n  4 -> 5 [size =\"45391872\"]\n  5 [size=\"55091200\", alpha=\"0.07\", expect_size=\"16527360\"] \n  5 -> 6 [size =\"16527360\"]\n  5 -> 7 [size =\"16527360\"]\n  6 [size=\"47049387\", alpha=\"0.11\", expect_size=\"14114816\"] \n  7 [size=\"158365013\", alpha=\"0.12\", expect_size=\"47509504\"] \n  7 -> 8 [size =\"47509504\"]\n  8 [size=\"49807360\", alpha=\"0.13\", expect_size=\"14942208\"] \n  8 -> 9 [size =\"14942208\"]\n  9 [size=\"96382293\", alpha=\"0.01\", expect_size=\"28914688\"] \n  9 -> 10 [size =\"28914688\"]\n  10 [size=\"150548480\", alpha=\"0.04\", expect_size=\"45164544\"] \n  10 -> 11 [size =\"45164544\"]\n  11 [size=\"133993813\", alpha=\"0.09\", expect_size=\"40198144\"] \n  11 -> 12 [size =\"40198144\"]\n  12 [size=\"31815680\", alpha=\"0.08\", expect_size=\"9544704\"] \n  12 -> 13 [size =\"9544704\"]\n  13 [size=\"155617280\", alpha=\"0.03\", expect_size=\"46685184\"] \n  13 -> 14 [size =\"46685184\"]\n  14 [size=\"68747947\", alpha=\"0.18\", expect_size=\"20624384\"] \n  14 -> 15 [size =\"20624384\"]\n  15 [size=\"166280533\", alpha=\"0.10\", expect_size=\"49884160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77455360\", alpha=\"0.17\", expect_size=\"23236608\"] \n  2 [size=\"112001707\", alpha=\"0.12\", expect_size=\"33600512\"] \n  2 -> 4 [size =\"33600512\"]\n  2 -> 6 [size =\"33600512\"]\n  2 -> 7 [size =\"33600512\"]\n  3 [size=\"33477973\", alpha=\"0.05\", expect_size=\"10043392\"] \n  3 -> 4 [size =\"10043392\"]\n  3 -> 5 [size =\"10043392\"]\n  3 -> 6 [size =\"10043392\"]\n  4 [size=\"132747947\", alpha=\"0.05\", expect_size=\"39824384\"] \n  4 -> 8 [size =\"39824384\"]\n  4 -> 9 [size =\"39824384\"]\n  5 [size=\"75844267\", alpha=\"0.09\", expect_size=\"22753280\"] \n  5 -> 9 [size =\"22753280\"]\n  6 [size=\"153613653\", alpha=\"0.17\", expect_size=\"46084096\"] \n  7 [size=\"67000320\", alpha=\"0.14\", expect_size=\"20100096\"] \n  7 -> 9 [size =\"20100096\"]\n  8 [size=\"89927680\", alpha=\"0.18\", expect_size=\"26978304\"] \n  8 -> 10 [size =\"26978304\"]\n  8 -> 11 [size =\"26978304\"]\n  9 [size=\"160815787\", alpha=\"0.17\", expect_size=\"48244736\"] \n  9 -> 10 [size =\"48244736\"]\n  9 -> 11 [size =\"48244736\"]\n  10 [size=\"71891627\", alpha=\"0.03\", expect_size=\"21567488\"] \n  10 -> 12 [size =\"21567488\"]\n  10 -> 13 [size =\"21567488\"]\n  11 [size=\"31071573\", alpha=\"0.12\", expect_size=\"9321472\"] \n  11 -> 12 [size =\"9321472\"]\n  11 -> 13 [size =\"9321472\"]\n  12 [size=\"161846613\", alpha=\"0.12\", expect_size=\"48553984\"] \n  12 -> 14 [size =\"48553984\"]\n  12 -> 15 [size =\"48553984\"]\n  13 [size=\"99467947\", alpha=\"0.20\", expect_size=\"29840384\"] \n  14 [size=\"140247040\", alpha=\"0.16\", expect_size=\"42074112\"] \n  15 [size=\"20073813\", alpha=\"0.05\", expect_size=\"6022144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61862400\", alpha=\"0.04\", expect_size=\"24744960\"] \n  1 -> 6 [size =\"24744960\"]\n  1 -> 6 [size =\"24744960\"]\n  1 -> 7 [size =\"24744960\"]\n  1 -> 9 [size =\"24744960\"]\n  1 -> 10 [size =\"24744960\"]\n  1 -> 11 [size =\"24744960\"]\n  2 [size=\"25464320\", alpha=\"0.09\", expect_size=\"10185728\"] \n  2 -> 7 [size =\"10185728\"]\n  2 -> 8 [size =\"10185728\"]\n  2 -> 10 [size =\"10185728\"]\n  2 -> 11 [size =\"10185728\"]\n  3 [size=\"104168960\", alpha=\"0.09\", expect_size=\"41667584\"] \n  3 -> 6 [size =\"41667584\"]\n  3 -> 7 [size =\"41667584\"]\n  3 -> 9 [size =\"41667584\"]\n  3 -> 10 [size =\"41667584\"]\n  3 -> 11 [size =\"41667584\"]\n  4 [size=\"61038080\", alpha=\"0.05\", expect_size=\"24415232\"] \n  4 -> 5 [size =\"24415232\"]\n  4 -> 6 [size =\"24415232\"]\n  4 -> 7 [size =\"24415232\"]\n  4 -> 9 [size =\"24415232\"]\n  4 -> 10 [size =\"24415232\"]\n  4 -> 11 [size =\"24415232\"]\n  5 [size=\"31336960\", alpha=\"0.15\", expect_size=\"12534784\"] \n  5 -> 13 [size =\"12534784\"]\n  5 -> 15 [size =\"12534784\"]\n  6 [size=\"43842560\", alpha=\"0.12\", expect_size=\"17537024\"] \n  6 -> 12 [size =\"17537024\"]\n  6 -> 15 [size =\"17537024\"]\n  7 [size=\"128450560\", alpha=\"0.12\", expect_size=\"51380224\"] \n  7 -> 14 [size =\"51380224\"]\n  7 -> 15 [size =\"51380224\"]\n  8 [size=\"104975360\", alpha=\"0.03\", expect_size=\"41990144\"] \n  8 -> 15 [size =\"41990144\"]\n  9 [size=\"55283200\", alpha=\"0.10\", expect_size=\"22113280\"] \n  9 -> 12 [size =\"22113280\"]\n  9 -> 13 [size =\"22113280\"]\n  10 [size=\"30886400\", alpha=\"0.06\", expect_size=\"12354560\"] \n  10 -> 13 [size =\"12354560\"]\n  10 -> 14 [size =\"12354560\"]\n  10 -> 15 [size =\"12354560\"]\n  11 [size=\"35801600\", alpha=\"0.10\", expect_size=\"14320640\"] \n  11 -> 12 [size =\"14320640\"]\n  11 -> 13 [size =\"14320640\"]\n  11 -> 14 [size =\"14320640\"]\n  11 -> 15 [size =\"14320640\"]\n  12 [size=\"57541120\", alpha=\"0.11\", expect_size=\"23016448\"] \n  13 [size=\"110049280\", alpha=\"0.11\", expect_size=\"44019712\"] \n  14 [size=\"42877440\", alpha=\"0.11\", expect_size=\"17150976\"] \n  15 [size=\"71969280\", alpha=\"0.05\", expect_size=\"28787712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32842240\", alpha=\"0.09\", expect_size=\"13136896\"] \n  1 -> 3 [size =\"13136896\"]\n  1 -> 4 [size =\"13136896\"]\n  2 [size=\"78494720\", alpha=\"0.15\", expect_size=\"31397888\"] \n  2 -> 4 [size =\"31397888\"]\n  3 [size=\"82237440\", alpha=\"0.02\", expect_size=\"32894976\"] \n  3 -> 5 [size =\"32894976\"]\n  3 -> 6 [size =\"32894976\"]\n  3 -> 7 [size =\"32894976\"]\n  4 [size=\"21916160\", alpha=\"0.13\", expect_size=\"8766464\"] \n  4 -> 5 [size =\"8766464\"]\n  5 [size=\"26887680\", alpha=\"0.12\", expect_size=\"10755072\"] \n  5 -> 9 [size =\"10755072\"]\n  5 -> 10 [size =\"10755072\"]\n  6 [size=\"108648960\", alpha=\"0.15\", expect_size=\"43459584\"] \n  6 -> 9 [size =\"43459584\"]\n  7 [size=\"88829440\", alpha=\"0.16\", expect_size=\"35531776\"] \n  7 -> 8 [size =\"35531776\"]\n  8 [size=\"118471680\", alpha=\"0.19\", expect_size=\"47388672\"] \n  8 -> 11 [size =\"47388672\"]\n  9 [size=\"27392000\", alpha=\"0.12\", expect_size=\"10956800\"] \n  10 [size=\"93959680\", alpha=\"0.14\", expect_size=\"37583872\"] \n  10 -> 11 [size =\"37583872\"]\n  10 -> 12 [size =\"37583872\"]\n  11 [size=\"16053760\", alpha=\"0.16\", expect_size=\"6421504\"] \n  11 -> 14 [size =\"6421504\"]\n  12 [size=\"69898240\", alpha=\"0.11\", expect_size=\"27959296\"] \n  12 -> 13 [size =\"27959296\"]\n  12 -> 14 [size =\"27959296\"]\n  13 [size=\"37678080\", alpha=\"0.06\", expect_size=\"15071232\"] \n  14 [size=\"48883200\", alpha=\"0.12\", expect_size=\"19553280\"] \n  14 -> 15 [size =\"19553280\"]\n  15 [size=\"128153600\", alpha=\"0.08\", expect_size=\"51261440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174643200\", alpha=\"0.17\", expect_size=\"52392960\"] \n  1 -> 2 [size =\"52392960\"]\n  2 [size=\"23910400\", alpha=\"0.08\", expect_size=\"7173120\"] \n  2 -> 3 [size =\"7173120\"]\n  3 [size=\"49510400\", alpha=\"0.12\", expect_size=\"14853120\"] \n  3 -> 4 [size =\"14853120\"]\n  4 [size=\"128812373\", alpha=\"0.20\", expect_size=\"38643712\"] \n  4 -> 5 [size =\"38643712\"]\n  5 [size=\"120057173\", alpha=\"0.06\", expect_size=\"36017152\"] \n  5 -> 6 [size =\"36017152\"]\n  6 [size=\"37881173\", alpha=\"0.05\", expect_size=\"11364352\"] \n  6 -> 7 [size =\"11364352\"]\n  7 [size=\"77957120\", alpha=\"0.03\", expect_size=\"23387136\"] \n  7 -> 8 [size =\"23387136\"]\n  8 [size=\"89064107\", alpha=\"0.08\", expect_size=\"26719232\"] \n  8 -> 9 [size =\"26719232\"]\n  9 [size=\"37266773\", alpha=\"0.09\", expect_size=\"11180032\"] \n  9 -> 10 [size =\"11180032\"]\n  10 [size=\"50237440\", alpha=\"0.03\", expect_size=\"15071232\"] \n  10 -> 11 [size =\"15071232\"]\n  11 [size=\"84555093\", alpha=\"0.01\", expect_size=\"25366528\"] \n  11 -> 12 [size =\"25366528\"]\n  12 [size=\"58251947\", alpha=\"0.10\", expect_size=\"17475584\"] \n  12 -> 13 [size =\"17475584\"]\n  13 [size=\"122456747\", alpha=\"0.04\", expect_size=\"36737024\"] \n  13 -> 14 [size =\"36737024\"]\n  14 [size=\"60569600\", alpha=\"0.15\", expect_size=\"18170880\"] \n  14 -> 15 [size =\"18170880\"]\n  15 [size=\"59050667\", alpha=\"0.16\", expect_size=\"17715200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46031360\", alpha=\"0.06\", expect_size=\"18412544\"] \n  1 -> 7 [size =\"18412544\"]\n  2 [size=\"54064640\", alpha=\"0.06\", expect_size=\"21625856\"] \n  2 -> 5 [size =\"21625856\"]\n  2 -> 6 [size =\"21625856\"]\n  2 -> 7 [size =\"21625856\"]\n  3 [size=\"82920960\", alpha=\"0.07\", expect_size=\"33168384\"] \n  3 -> 4 [size =\"33168384\"]\n  3 -> 5 [size =\"33168384\"]\n  4 [size=\"106606080\", alpha=\"0.19\", expect_size=\"42642432\"] \n  4 -> 10 [size =\"42642432\"]\n  5 [size=\"107522560\", alpha=\"0.19\", expect_size=\"43009024\"] \n  5 -> 8 [size =\"43009024\"]\n  5 -> 11 [size =\"43009024\"]\n  5 -> 12 [size =\"43009024\"]\n  6 [size=\"103139840\", alpha=\"0.07\", expect_size=\"41255936\"] \n  6 -> 9 [size =\"41255936\"]\n  7 [size=\"86233600\", alpha=\"0.14\", expect_size=\"34493440\"] \n  7 -> 9 [size =\"34493440\"]\n  7 -> 10 [size =\"34493440\"]\n  7 -> 12 [size =\"34493440\"]\n  8 [size=\"19891200\", alpha=\"0.01\", expect_size=\"7956480\"] \n  8 -> 13 [size =\"7956480\"]\n  8 -> 14 [size =\"7956480\"]\n  9 [size=\"102901760\", alpha=\"0.18\", expect_size=\"41160704\"] \n  9 -> 15 [size =\"41160704\"]\n  10 [size=\"121868800\", alpha=\"0.05\", expect_size=\"48747520\"] \n  10 -> 13 [size =\"48747520\"]\n  10 -> 14 [size =\"48747520\"]\n  10 -> 15 [size =\"48747520\"]\n  11 [size=\"103467520\", alpha=\"0.06\", expect_size=\"41387008\"] \n  11 -> 14 [size =\"41387008\"]\n  11 -> 15 [size =\"41387008\"]\n  12 [size=\"18867200\", alpha=\"0.01\", expect_size=\"7546880\"] \n  12 -> 13 [size =\"7546880\"]\n  12 -> 14 [size =\"7546880\"]\n  13 [size=\"53575680\", alpha=\"0.10\", expect_size=\"21430272\"] \n  14 [size=\"92638720\", alpha=\"0.04\", expect_size=\"37055488\"] \n  15 [size=\"84679680\", alpha=\"0.01\", expect_size=\"33871872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102266880\", alpha=\"0.09\", expect_size=\"51133440\"] \n  1 -> 7 [size =\"51133440\"]\n  1 -> 10 [size =\"51133440\"]\n  2 [size=\"104007680\", alpha=\"0.08\", expect_size=\"52003840\"] \n  2 -> 6 [size =\"52003840\"]\n  2 -> 11 [size =\"52003840\"]\n  3 [size=\"52674560\", alpha=\"0.14\", expect_size=\"26337280\"] \n  3 -> 9 [size =\"26337280\"]\n  4 [size=\"21252096\", alpha=\"0.13\", expect_size=\"10626048\"] \n  4 -> 7 [size =\"10626048\"]\n  4 -> 8 [size =\"10626048\"]\n  4 -> 9 [size =\"10626048\"]\n  4 -> 10 [size =\"10626048\"]\n  5 [size=\"88659968\", alpha=\"0.08\", expect_size=\"44329984\"] \n  5 -> 6 [size =\"44329984\"]\n  5 -> 7 [size =\"44329984\"]\n  5 -> 10 [size =\"44329984\"]\n  6 [size=\"39045120\", alpha=\"0.04\", expect_size=\"19522560\"] \n  6 -> 12 [size =\"19522560\"]\n  7 [size=\"48920576\", alpha=\"0.11\", expect_size=\"24460288\"] \n  7 -> 13 [size =\"24460288\"]\n  8 [size=\"20887552\", alpha=\"0.06\", expect_size=\"10443776\"] \n  8 -> 12 [size =\"10443776\"]\n  8 -> 14 [size =\"10443776\"]\n  9 [size=\"96817152\", alpha=\"0.00\", expect_size=\"48408576\"] \n  9 -> 12 [size =\"48408576\"]\n  9 -> 14 [size =\"48408576\"]\n  9 -> 15 [size =\"48408576\"]\n  10 [size=\"17113088\", alpha=\"0.12\", expect_size=\"8556544\"] \n  11 [size=\"13350912\", alpha=\"0.05\", expect_size=\"6675456\"] \n  11 -> 13 [size =\"6675456\"]\n  12 [size=\"55580672\", alpha=\"0.03\", expect_size=\"27790336\"] \n  13 [size=\"91899904\", alpha=\"0.15\", expect_size=\"45949952\"] \n  14 [size=\"65529856\", alpha=\"0.13\", expect_size=\"32764928\"] \n  15 [size=\"34682880\", alpha=\"0.15\", expect_size=\"17341440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27569493\", alpha=\"0.10\", expect_size=\"8270848\"] \n  1 -> 7 [size =\"8270848\"]\n  1 -> 9 [size =\"8270848\"]\n  1 -> 12 [size =\"8270848\"]\n  2 [size=\"157085013\", alpha=\"0.00\", expect_size=\"47125504\"] \n  2 -> 7 [size =\"47125504\"]\n  2 -> 8 [size =\"47125504\"]\n  2 -> 9 [size =\"47125504\"]\n  2 -> 12 [size =\"47125504\"]\n  2 -> 15 [size =\"47125504\"]\n  3 [size=\"173827413\", alpha=\"0.02\", expect_size=\"52148224\"] \n  3 -> 7 [size =\"52148224\"]\n  3 -> 8 [size =\"52148224\"]\n  3 -> 9 [size =\"52148224\"]\n  3 -> 10 [size =\"52148224\"]\n  4 [size=\"24128853\", alpha=\"0.20\", expect_size=\"7238656\"] \n  4 -> 7 [size =\"7238656\"]\n  4 -> 8 [size =\"7238656\"]\n  4 -> 10 [size =\"7238656\"]\n  4 -> 11 [size =\"7238656\"]\n  4 -> 14 [size =\"7238656\"]\n  5 [size=\"120326827\", alpha=\"0.10\", expect_size=\"36098048\"] \n  5 -> 8 [size =\"36098048\"]\n  5 -> 8 [size =\"36098048\"]\n  5 -> 9 [size =\"36098048\"]\n  6 [size=\"80660480\", alpha=\"0.18\", expect_size=\"24198144\"] \n  6 -> 7 [size =\"24198144\"]\n  6 -> 8 [size =\"24198144\"]\n  6 -> 9 [size =\"24198144\"]\n  6 -> 11 [size =\"24198144\"]\n  6 -> 12 [size =\"24198144\"]\n  6 -> 13 [size =\"24198144\"]\n  7 [size=\"68191573\", alpha=\"0.18\", expect_size=\"20457472\"] \n  8 [size=\"144790187\", alpha=\"0.09\", expect_size=\"43437056\"] \n  9 [size=\"130812587\", alpha=\"0.12\", expect_size=\"39243776\"] \n  10 [size=\"116988587\", alpha=\"0.13\", expect_size=\"35096576\"] \n  11 [size=\"26951680\", alpha=\"0.05\", expect_size=\"8085504\"] \n  12 [size=\"105867947\", alpha=\"0.10\", expect_size=\"31760384\"] \n  13 [size=\"107646293\", alpha=\"0.02\", expect_size=\"32293888\"] \n  14 [size=\"125064533\", alpha=\"0.00\", expect_size=\"37519360\"] \n  15 [size=\"121483947\", alpha=\"0.05\", expect_size=\"36445184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34450773\", alpha=\"0.16\", expect_size=\"10335232\"] \n  1 -> 5 [size =\"10335232\"]\n  2 [size=\"117705387\", alpha=\"0.15\", expect_size=\"35311616\"] \n  2 -> 4 [size =\"35311616\"]\n  2 -> 5 [size =\"35311616\"]\n  3 [size=\"110199467\", alpha=\"0.14\", expect_size=\"33059840\"] \n  3 -> 4 [size =\"33059840\"]\n  4 [size=\"154873173\", alpha=\"0.02\", expect_size=\"46461952\"] \n  4 -> 6 [size =\"46461952\"]\n  4 -> 7 [size =\"46461952\"]\n  5 [size=\"51220480\", alpha=\"0.03\", expect_size=\"15366144\"] \n  5 -> 6 [size =\"15366144\"]\n  6 [size=\"145387520\", alpha=\"0.11\", expect_size=\"43616256\"] \n  6 -> 8 [size =\"43616256\"]\n  6 -> 9 [size =\"43616256\"]\n  7 [size=\"159853227\", alpha=\"0.14\", expect_size=\"47955968\"] \n  7 -> 8 [size =\"47955968\"]\n  7 -> 9 [size =\"47955968\"]\n  8 [size=\"61958827\", alpha=\"0.01\", expect_size=\"18587648\"] \n  8 -> 10 [size =\"18587648\"]\n  9 [size=\"31204693\", alpha=\"0.05\", expect_size=\"9361408\"] \n  9 -> 10 [size =\"9361408\"]\n  9 -> 11 [size =\"9361408\"]\n  10 [size=\"71611733\", alpha=\"0.01\", expect_size=\"21483520\"] \n  10 -> 12 [size =\"21483520\"]\n  10 -> 13 [size =\"21483520\"]\n  10 -> 14 [size =\"21483520\"]\n  11 [size=\"140796587\", alpha=\"0.14\", expect_size=\"42238976\"] \n  11 -> 13 [size =\"42238976\"]\n  12 [size=\"108014933\", alpha=\"0.11\", expect_size=\"32404480\"] \n  13 [size=\"65003520\", alpha=\"0.04\", expect_size=\"19501056\"] \n  13 -> 15 [size =\"19501056\"]\n  14 [size=\"171294720\", alpha=\"0.13\", expect_size=\"51388416\"] \n  14 -> 15 [size =\"51388416\"]\n  15 [size=\"27627520\", alpha=\"0.03\", expect_size=\"8288256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25237504\", alpha=\"0.01\", expect_size=\"12618752\"] \n  1 -> 2 [size =\"12618752\"]\n  2 [size=\"75933696\", alpha=\"0.02\", expect_size=\"37966848\"] \n  2 -> 3 [size =\"37966848\"]\n  2 -> 4 [size =\"37966848\"]\n  3 [size=\"80091136\", alpha=\"0.19\", expect_size=\"40045568\"] \n  3 -> 5 [size =\"40045568\"]\n  4 [size=\"61396992\", alpha=\"0.05\", expect_size=\"30698496\"] \n  4 -> 5 [size =\"30698496\"]\n  5 [size=\"78493696\", alpha=\"0.10\", expect_size=\"39246848\"] \n  5 -> 6 [size =\"39246848\"]\n  6 [size=\"45041664\", alpha=\"0.02\", expect_size=\"22520832\"] \n  6 -> 7 [size =\"22520832\"]\n  6 -> 8 [size =\"22520832\"]\n  7 [size=\"102100992\", alpha=\"0.16\", expect_size=\"51050496\"] \n  7 -> 9 [size =\"51050496\"]\n  7 -> 10 [size =\"51050496\"]\n  8 [size=\"104157184\", alpha=\"0.11\", expect_size=\"52078592\"] \n  8 -> 9 [size =\"52078592\"]\n  8 -> 10 [size =\"52078592\"]\n  9 [size=\"47312896\", alpha=\"0.07\", expect_size=\"23656448\"] \n  9 -> 11 [size =\"23656448\"]\n  10 [size=\"15448064\", alpha=\"0.01\", expect_size=\"7724032\"] \n  10 -> 12 [size =\"7724032\"]\n  11 [size=\"58976256\", alpha=\"0.05\", expect_size=\"29488128\"] \n  12 [size=\"61736960\", alpha=\"0.08\", expect_size=\"30868480\"] \n  12 -> 13 [size =\"30868480\"]\n  12 -> 14 [size =\"30868480\"]\n  13 [size=\"70684672\", alpha=\"0.07\", expect_size=\"35342336\"] \n  13 -> 15 [size =\"35342336\"]\n  14 [size=\"68081664\", alpha=\"0.10\", expect_size=\"34040832\"] \n  14 -> 15 [size =\"34040832\"]\n  15 [size=\"91224064\", alpha=\"0.06\", expect_size=\"45612032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85792768\", alpha=\"0.13\", expect_size=\"42896384\"] \n  2 [size=\"80429056\", alpha=\"0.03\", expect_size=\"40214528\"] \n  2 -> 12 [size =\"40214528\"]\n  3 [size=\"11483136\", alpha=\"0.15\", expect_size=\"5741568\"] \n  4 [size=\"80633856\", alpha=\"0.09\", expect_size=\"40316928\"] \n  4 -> 14 [size =\"40316928\"]\n  5 [size=\"35704832\", alpha=\"0.05\", expect_size=\"17852416\"] \n  5 -> 15 [size =\"17852416\"]\n  6 [size=\"86231040\", alpha=\"0.02\", expect_size=\"43115520\"] \n  6 -> 12 [size =\"43115520\"]\n  6 -> 15 [size =\"43115520\"]\n  7 [size=\"65441792\", alpha=\"0.05\", expect_size=\"32720896\"] \n  7 -> 15 [size =\"32720896\"]\n  8 [size=\"84183040\", alpha=\"0.13\", expect_size=\"42091520\"] \n  8 -> 13 [size =\"42091520\"]\n  8 -> 15 [size =\"42091520\"]\n  9 [size=\"90957824\", alpha=\"0.15\", expect_size=\"45478912\"] \n  9 -> 12 [size =\"45478912\"]\n  10 [size=\"61286400\", alpha=\"0.10\", expect_size=\"30643200\"] \n  11 [size=\"92786688\", alpha=\"0.19\", expect_size=\"46393344\"] \n  12 [size=\"57683968\", alpha=\"0.04\", expect_size=\"28841984\"] \n  13 [size=\"73449472\", alpha=\"0.09\", expect_size=\"36724736\"] \n  14 [size=\"47654912\", alpha=\"0.15\", expect_size=\"23827456\"] \n  15 [size=\"88330240\", alpha=\"0.04\", expect_size=\"44165120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46172160\", alpha=\"0.12\", expect_size=\"23086080\"] \n  2 [size=\"77508608\", alpha=\"0.16\", expect_size=\"38754304\"] \n  2 -> 14 [size =\"38754304\"]\n  3 [size=\"41072640\", alpha=\"0.03\", expect_size=\"20536320\"] \n  3 -> 14 [size =\"20536320\"]\n  4 [size=\"11446272\", alpha=\"0.16\", expect_size=\"5723136\"] \n  4 -> 13 [size =\"5723136\"]\n  4 -> 14 [size =\"5723136\"]\n  5 [size=\"19855360\", alpha=\"0.12\", expect_size=\"9927680\"] \n  6 [size=\"55986176\", alpha=\"0.17\", expect_size=\"27993088\"] \n  7 [size=\"81293312\", alpha=\"0.02\", expect_size=\"40646656\"] \n  7 -> 13 [size =\"40646656\"]\n  8 [size=\"60364800\", alpha=\"0.16\", expect_size=\"30182400\"] \n  8 -> 14 [size =\"30182400\"]\n  9 [size=\"102021120\", alpha=\"0.03\", expect_size=\"51010560\"] \n  9 -> 13 [size =\"51010560\"]\n  10 [size=\"10917888\", alpha=\"0.17\", expect_size=\"5458944\"] \n  10 -> 13 [size =\"5458944\"]\n  10 -> 14 [size =\"5458944\"]\n  11 [size=\"96204800\", alpha=\"0.08\", expect_size=\"48102400\"] \n  11 -> 13 [size =\"48102400\"]\n  11 -> 14 [size =\"48102400\"]\n  12 [size=\"58761216\", alpha=\"0.05\", expect_size=\"29380608\"] \n  12 -> 13 [size =\"29380608\"]\n  12 -> 15 [size =\"29380608\"]\n  13 [size=\"37842944\", alpha=\"0.08\", expect_size=\"18921472\"] \n  14 [size=\"53311488\", alpha=\"0.04\", expect_size=\"26655744\"] \n  15 [size=\"32897024\", alpha=\"0.04\", expect_size=\"16448512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121552213\", alpha=\"0.08\", expect_size=\"36465664\"] \n  1 -> 6 [size =\"36465664\"]\n  1 -> 7 [size =\"36465664\"]\n  2 [size=\"166417067\", alpha=\"0.04\", expect_size=\"49925120\"] \n  2 -> 6 [size =\"49925120\"]\n  3 [size=\"150886400\", alpha=\"0.18\", expect_size=\"45265920\"] \n  3 -> 5 [size =\"45265920\"]\n  3 -> 7 [size =\"45265920\"]\n  4 [size=\"111779840\", alpha=\"0.09\", expect_size=\"33533952\"] \n  4 -> 6 [size =\"33533952\"]\n  4 -> 7 [size =\"33533952\"]\n  5 [size=\"22370987\", alpha=\"0.04\", expect_size=\"6711296\"] \n  5 -> 8 [size =\"6711296\"]\n  5 -> 9 [size =\"6711296\"]\n  6 [size=\"162102613\", alpha=\"0.11\", expect_size=\"48630784\"] \n  6 -> 8 [size =\"48630784\"]\n  6 -> 9 [size =\"48630784\"]\n  7 [size=\"143305387\", alpha=\"0.06\", expect_size=\"42991616\"] \n  7 -> 8 [size =\"42991616\"]\n  7 -> 9 [size =\"42991616\"]\n  8 [size=\"84217173\", alpha=\"0.07\", expect_size=\"25265152\"] \n  8 -> 10 [size =\"25265152\"]\n  8 -> 11 [size =\"25265152\"]\n  9 [size=\"44810240\", alpha=\"0.06\", expect_size=\"13443072\"] \n  9 -> 10 [size =\"13443072\"]\n  9 -> 11 [size =\"13443072\"]\n  10 [size=\"160846507\", alpha=\"0.10\", expect_size=\"48253952\"] \n  10 -> 12 [size =\"48253952\"]\n  10 -> 14 [size =\"48253952\"]\n  10 -> 15 [size =\"48253952\"]\n  11 [size=\"157791573\", alpha=\"0.02\", expect_size=\"47337472\"] \n  11 -> 12 [size =\"47337472\"]\n  11 -> 13 [size =\"47337472\"]\n  11 -> 14 [size =\"47337472\"]\n  11 -> 15 [size =\"47337472\"]\n  12 [size=\"60170240\", alpha=\"0.08\", expect_size=\"18051072\"] \n  13 [size=\"90961920\", alpha=\"0.11\", expect_size=\"27288576\"] \n  14 [size=\"75622400\", alpha=\"0.19\", expect_size=\"22686720\"] \n  15 [size=\"148961280\", alpha=\"0.14\", expect_size=\"44688384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33428480\", alpha=\"0.00\", expect_size=\"13371392\"] \n  1 -> 2 [size =\"13371392\"]\n  1 -> 3 [size =\"13371392\"]\n  2 [size=\"81907200\", alpha=\"0.17\", expect_size=\"32762880\"] \n  3 [size=\"79206400\", alpha=\"0.10\", expect_size=\"31682560\"] \n  3 -> 4 [size =\"31682560\"]\n  4 [size=\"79774720\", alpha=\"0.09\", expect_size=\"31909888\"] \n  4 -> 5 [size =\"31909888\"]\n  4 -> 6 [size =\"31909888\"]\n  5 [size=\"18234880\", alpha=\"0.15\", expect_size=\"7293952\"] \n  6 [size=\"53859840\", alpha=\"0.01\", expect_size=\"21543936\"] \n  6 -> 7 [size =\"21543936\"]\n  7 [size=\"48906240\", alpha=\"0.04\", expect_size=\"19562496\"] \n  7 -> 8 [size =\"19562496\"]\n  8 [size=\"115479040\", alpha=\"0.00\", expect_size=\"46191616\"] \n  8 -> 9 [size =\"46191616\"]\n  9 [size=\"38702080\", alpha=\"0.07\", expect_size=\"15480832\"] \n  9 -> 10 [size =\"15480832\"]\n  10 [size=\"94141440\", alpha=\"0.06\", expect_size=\"37656576\"] \n  10 -> 11 [size =\"37656576\"]\n  10 -> 12 [size =\"37656576\"]\n  11 [size=\"119541760\", alpha=\"0.05\", expect_size=\"47816704\"] \n  12 [size=\"120330240\", alpha=\"0.12\", expect_size=\"48132096\"] \n  12 -> 13 [size =\"48132096\"]\n  12 -> 14 [size =\"48132096\"]\n  13 [size=\"100298240\", alpha=\"0.05\", expect_size=\"40119296\"] \n  13 -> 15 [size =\"40119296\"]\n  14 [size=\"42967040\", alpha=\"0.16\", expect_size=\"17186816\"] \n  15 [size=\"95060480\", alpha=\"0.04\", expect_size=\"38024192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138499413\", alpha=\"0.12\", expect_size=\"41549824\"] \n  1 -> 2 [size =\"41549824\"]\n  2 [size=\"98614613\", alpha=\"0.14\", expect_size=\"29584384\"] \n  2 -> 3 [size =\"29584384\"]\n  3 [size=\"45308587\", alpha=\"0.16\", expect_size=\"13592576\"] \n  3 -> 4 [size =\"13592576\"]\n  4 [size=\"149224107\", alpha=\"0.05\", expect_size=\"44767232\"] \n  4 -> 5 [size =\"44767232\"]\n  5 [size=\"122525013\", alpha=\"0.08\", expect_size=\"36757504\"] \n  5 -> 6 [size =\"36757504\"]\n  6 [size=\"51148800\", alpha=\"0.06\", expect_size=\"15344640\"] \n  6 -> 7 [size =\"15344640\"]\n  7 [size=\"82756267\", alpha=\"0.11\", expect_size=\"24826880\"] \n  7 -> 8 [size =\"24826880\"]\n  8 [size=\"89617067\", alpha=\"0.02\", expect_size=\"26885120\"] \n  8 -> 9 [size =\"26885120\"]\n  9 [size=\"37300907\", alpha=\"0.16\", expect_size=\"11190272\"] \n  9 -> 10 [size =\"11190272\"]\n  10 [size=\"115015680\", alpha=\"0.18\", expect_size=\"34504704\"] \n  10 -> 11 [size =\"34504704\"]\n  11 [size=\"125095253\", alpha=\"0.12\", expect_size=\"37528576\"] \n  11 -> 12 [size =\"37528576\"]\n  12 [size=\"59982507\", alpha=\"0.19\", expect_size=\"17994752\"] \n  12 -> 13 [size =\"17994752\"]\n  13 [size=\"171089920\", alpha=\"0.06\", expect_size=\"51326976\"] \n  13 -> 14 [size =\"51326976\"]\n  14 [size=\"136710827\", alpha=\"0.20\", expect_size=\"41013248\"] \n  14 -> 15 [size =\"41013248\"]\n  15 [size=\"20275200\", alpha=\"0.04\", expect_size=\"6082560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89937920\", alpha=\"0.06\", expect_size=\"35975168\"] \n  1 -> 2 [size =\"35975168\"]\n  1 -> 3 [size =\"35975168\"]\n  2 [size=\"43151360\", alpha=\"0.01\", expect_size=\"17260544\"] \n  2 -> 4 [size =\"17260544\"]\n  2 -> 5 [size =\"17260544\"]\n  2 -> 6 [size =\"17260544\"]\n  3 [size=\"97518080\", alpha=\"0.14\", expect_size=\"39007232\"] \n  3 -> 5 [size =\"39007232\"]\n  4 [size=\"20042240\", alpha=\"0.08\", expect_size=\"8016896\"] \n  5 [size=\"91438080\", alpha=\"0.06\", expect_size=\"36575232\"] \n  5 -> 7 [size =\"36575232\"]\n  5 -> 8 [size =\"36575232\"]\n  5 -> 9 [size =\"36575232\"]\n  6 [size=\"102300160\", alpha=\"0.06\", expect_size=\"40920064\"] \n  7 [size=\"32913920\", alpha=\"0.11\", expect_size=\"13165568\"] \n  8 [size=\"61035520\", alpha=\"0.09\", expect_size=\"24414208\"] \n  8 -> 10 [size =\"24414208\"]\n  9 [size=\"73669120\", alpha=\"0.05\", expect_size=\"29467648\"] \n  10 [size=\"26547200\", alpha=\"0.05\", expect_size=\"10618880\"] \n  10 -> 11 [size =\"10618880\"]\n  10 -> 12 [size =\"10618880\"]\n  10 -> 13 [size =\"10618880\"]\n  10 -> 14 [size =\"10618880\"]\n  11 [size=\"58956800\", alpha=\"0.11\", expect_size=\"23582720\"] \n  11 -> 15 [size =\"23582720\"]\n  12 [size=\"95600640\", alpha=\"0.17\", expect_size=\"38240256\"] \n  12 -> 15 [size =\"38240256\"]\n  13 [size=\"100979200\", alpha=\"0.08\", expect_size=\"40391680\"] \n  14 [size=\"65021440\", alpha=\"0.11\", expect_size=\"26008576\"] \n  15 [size=\"113379840\", alpha=\"0.08\", expect_size=\"45351936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89333760\", alpha=\"0.20\", expect_size=\"26800128\"] \n  1 -> 7 [size =\"26800128\"]\n  1 -> 8 [size =\"26800128\"]\n  1 -> 9 [size =\"26800128\"]\n  2 [size=\"134543360\", alpha=\"0.20\", expect_size=\"40363008\"] \n  2 -> 6 [size =\"40363008\"]\n  3 [size=\"61064533\", alpha=\"0.07\", expect_size=\"18319360\"] \n  3 -> 6 [size =\"18319360\"]\n  3 -> 9 [size =\"18319360\"]\n  4 [size=\"146971307\", alpha=\"0.02\", expect_size=\"44091392\"] \n  5 [size=\"84640427\", alpha=\"0.16\", expect_size=\"25392128\"] \n  5 -> 8 [size =\"25392128\"]\n  6 [size=\"95133013\", alpha=\"0.18\", expect_size=\"28539904\"] \n  6 -> 10 [size =\"28539904\"]\n  6 -> 12 [size =\"28539904\"]\n  6 -> 13 [size =\"28539904\"]\n  7 [size=\"122692267\", alpha=\"0.05\", expect_size=\"36807680\"] \n  8 [size=\"38731093\", alpha=\"0.09\", expect_size=\"11619328\"] \n  8 -> 12 [size =\"11619328\"]\n  8 -> 13 [size =\"11619328\"]\n  8 -> 14 [size =\"11619328\"]\n  9 [size=\"112104107\", alpha=\"0.14\", expect_size=\"33631232\"] \n  9 -> 10 [size =\"33631232\"]\n  9 -> 11 [size =\"33631232\"]\n  9 -> 12 [size =\"33631232\"]\n  9 -> 13 [size =\"33631232\"]\n  10 [size=\"163345067\", alpha=\"0.02\", expect_size=\"49003520\"] \n  11 [size=\"44288000\", alpha=\"0.11\", expect_size=\"13286400\"] \n  12 [size=\"44212907\", alpha=\"0.19\", expect_size=\"13263872\"] \n  13 [size=\"41574400\", alpha=\"0.02\", expect_size=\"12472320\"] \n  14 [size=\"96959147\", alpha=\"0.13\", expect_size=\"29087744\"] \n  14 -> 15 [size =\"29087744\"]\n  15 [size=\"115698347\", alpha=\"0.06\", expect_size=\"34709504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40744960\", alpha=\"0.04\", expect_size=\"20372480\"] \n  1 -> 7 [size =\"20372480\"]\n  1 -> 8 [size =\"20372480\"]\n  1 -> 9 [size =\"20372480\"]\n  1 -> 10 [size =\"20372480\"]\n  2 [size=\"88733696\", alpha=\"0.13\", expect_size=\"44366848\"] \n  2 -> 7 [size =\"44366848\"]\n  2 -> 10 [size =\"44366848\"]\n  3 [size=\"85014528\", alpha=\"0.13\", expect_size=\"42507264\"] \n  3 -> 7 [size =\"42507264\"]\n  3 -> 8 [size =\"42507264\"]\n  3 -> 9 [size =\"42507264\"]\n  3 -> 10 [size =\"42507264\"]\n  3 -> 11 [size =\"42507264\"]\n  4 [size=\"50042880\", alpha=\"0.11\", expect_size=\"25021440\"] \n  4 -> 9 [size =\"25021440\"]\n  4 -> 10 [size =\"25021440\"]\n  5 [size=\"36995072\", alpha=\"0.14\", expect_size=\"18497536\"] \n  5 -> 8 [size =\"18497536\"]\n  5 -> 9 [size =\"18497536\"]\n  5 -> 10 [size =\"18497536\"]\n  6 [size=\"39374848\", alpha=\"0.00\", expect_size=\"19687424\"] \n  6 -> 7 [size =\"19687424\"]\n  6 -> 9 [size =\"19687424\"]\n  6 -> 11 [size =\"19687424\"]\n  7 [size=\"63426560\", alpha=\"0.14\", expect_size=\"31713280\"] \n  7 -> 12 [size =\"31713280\"]\n  7 -> 13 [size =\"31713280\"]\n  7 -> 14 [size =\"31713280\"]\n  8 [size=\"17788928\", alpha=\"0.07\", expect_size=\"8894464\"] \n  8 -> 12 [size =\"8894464\"]\n  8 -> 13 [size =\"8894464\"]\n  8 -> 14 [size =\"8894464\"]\n  9 [size=\"35686400\", alpha=\"0.18\", expect_size=\"17843200\"] \n  9 -> 13 [size =\"17843200\"]\n  10 [size=\"86513664\", alpha=\"0.19\", expect_size=\"43256832\"] \n  10 -> 13 [size =\"43256832\"]\n  10 -> 14 [size =\"43256832\"]\n  11 [size=\"27871232\", alpha=\"0.16\", expect_size=\"13935616\"] \n  11 -> 12 [size =\"13935616\"]\n  11 -> 13 [size =\"13935616\"]\n  11 -> 14 [size =\"13935616\"]\n  12 [size=\"48261120\", alpha=\"0.16\", expect_size=\"24130560\"] \n  12 -> 15 [size =\"24130560\"]\n  13 [size=\"14862336\", alpha=\"0.05\", expect_size=\"7431168\"] \n  14 [size=\"75937792\", alpha=\"0.06\", expect_size=\"37968896\"] \n  14 -> 15 [size =\"37968896\"]\n  15 [size=\"31539200\", alpha=\"0.09\", expect_size=\"15769600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49643520\", alpha=\"0.19\", expect_size=\"19857408\"] \n  1 -> 4 [size =\"19857408\"]\n  2 [size=\"74938880\", alpha=\"0.19\", expect_size=\"29975552\"] \n  2 -> 3 [size =\"29975552\"]\n  2 -> 4 [size =\"29975552\"]\n  3 [size=\"30333440\", alpha=\"0.11\", expect_size=\"12133376\"] \n  3 -> 5 [size =\"12133376\"]\n  3 -> 6 [size =\"12133376\"]\n  4 [size=\"87697920\", alpha=\"0.02\", expect_size=\"35079168\"] \n  4 -> 5 [size =\"35079168\"]\n  4 -> 6 [size =\"35079168\"]\n  5 [size=\"127511040\", alpha=\"0.14\", expect_size=\"51004416\"] \n  5 -> 7 [size =\"51004416\"]\n  6 [size=\"17827840\", alpha=\"0.15\", expect_size=\"7131136\"] \n  7 [size=\"126003200\", alpha=\"0.03\", expect_size=\"50401280\"] \n  7 -> 8 [size =\"50401280\"]\n  8 [size=\"97256960\", alpha=\"0.15\", expect_size=\"38902784\"] \n  8 -> 9 [size =\"38902784\"]\n  9 [size=\"99607040\", alpha=\"0.02\", expect_size=\"39842816\"] \n  9 -> 10 [size =\"39842816\"]\n  9 -> 11 [size =\"39842816\"]\n  10 [size=\"92446720\", alpha=\"0.14\", expect_size=\"36978688\"] \n  10 -> 12 [size =\"36978688\"]\n  11 [size=\"129815040\", alpha=\"0.20\", expect_size=\"51926016\"] \n  11 -> 12 [size =\"51926016\"]\n  12 [size=\"124057600\", alpha=\"0.10\", expect_size=\"49623040\"] \n  12 -> 13 [size =\"49623040\"]\n  12 -> 14 [size =\"49623040\"]\n  13 [size=\"118192640\", alpha=\"0.04\", expect_size=\"47277056\"] \n  14 [size=\"67028480\", alpha=\"0.10\", expect_size=\"26811392\"] \n  14 -> 15 [size =\"26811392\"]\n  15 [size=\"80755200\", alpha=\"0.05\", expect_size=\"32302080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120221013\", alpha=\"0.05\", expect_size=\"36066304\"] \n  1 -> 6 [size =\"36066304\"]\n  1 -> 7 [size =\"36066304\"]\n  1 -> 9 [size =\"36066304\"]\n  1 -> 10 [size =\"36066304\"]\n  2 [size=\"41550507\", alpha=\"0.04\", expect_size=\"12465152\"] \n  2 -> 6 [size =\"12465152\"]\n  2 -> 7 [size =\"12465152\"]\n  2 -> 8 [size =\"12465152\"]\n  2 -> 10 [size =\"12465152\"]\n  3 [size=\"92368213\", alpha=\"0.12\", expect_size=\"27710464\"] \n  3 -> 6 [size =\"27710464\"]\n  3 -> 10 [size =\"27710464\"]\n  4 [size=\"134161067\", alpha=\"0.19\", expect_size=\"40248320\"] \n  4 -> 7 [size =\"40248320\"]\n  4 -> 8 [size =\"40248320\"]\n  4 -> 11 [size =\"40248320\"]\n  5 [size=\"151995733\", alpha=\"0.04\", expect_size=\"45598720\"] \n  5 -> 6 [size =\"45598720\"]\n  5 -> 7 [size =\"45598720\"]\n  5 -> 8 [size =\"45598720\"]\n  6 [size=\"85998933\", alpha=\"0.08\", expect_size=\"25799680\"] \n  6 -> 12 [size =\"25799680\"]\n  7 [size=\"49633280\", alpha=\"0.09\", expect_size=\"14889984\"] \n  8 [size=\"35686400\", alpha=\"0.07\", expect_size=\"10705920\"] \n  8 -> 13 [size =\"10705920\"]\n  8 -> 14 [size =\"10705920\"]\n  9 [size=\"112052907\", alpha=\"0.11\", expect_size=\"33615872\"] \n  9 -> 12 [size =\"33615872\"]\n  9 -> 15 [size =\"33615872\"]\n  10 [size=\"150869333\", alpha=\"0.01\", expect_size=\"45260800\"] \n  10 -> 12 [size =\"45260800\"]\n  10 -> 15 [size =\"45260800\"]\n  11 [size=\"107072853\", alpha=\"0.12\", expect_size=\"32121856\"] \n  11 -> 12 [size =\"32121856\"]\n  12 [size=\"145588907\", alpha=\"0.12\", expect_size=\"43676672\"] \n  13 [size=\"21975040\", alpha=\"0.19\", expect_size=\"6592512\"] \n  14 [size=\"116886187\", alpha=\"0.11\", expect_size=\"35065856\"] \n  15 [size=\"111981227\", alpha=\"0.11\", expect_size=\"33594368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62545920\", alpha=\"0.05\", expect_size=\"18763776\"] \n  1 -> 2 [size =\"18763776\"]\n  2 [size=\"149114880\", alpha=\"0.02\", expect_size=\"44734464\"] \n  2 -> 3 [size =\"44734464\"]\n  3 [size=\"69556907\", alpha=\"0.05\", expect_size=\"20867072\"] \n  3 -> 4 [size =\"20867072\"]\n  4 [size=\"111404373\", alpha=\"0.16\", expect_size=\"33421312\"] \n  4 -> 5 [size =\"33421312\"]\n  5 [size=\"99147093\", alpha=\"0.04\", expect_size=\"29744128\"] \n  5 -> 6 [size =\"29744128\"]\n  6 [size=\"113838080\", alpha=\"0.11\", expect_size=\"34151424\"] \n  6 -> 7 [size =\"34151424\"]\n  7 [size=\"87627093\", alpha=\"0.09\", expect_size=\"26288128\"] \n  7 -> 8 [size =\"26288128\"]\n  8 [size=\"118169600\", alpha=\"0.01\", expect_size=\"35450880\"] \n  8 -> 9 [size =\"35450880\"]\n  9 [size=\"170707627\", alpha=\"0.08\", expect_size=\"51212288\"] \n  9 -> 10 [size =\"51212288\"]\n  10 [size=\"82261333\", alpha=\"0.03\", expect_size=\"24678400\"] \n  10 -> 11 [size =\"24678400\"]\n  11 [size=\"76629333\", alpha=\"0.10\", expect_size=\"22988800\"] \n  11 -> 12 [size =\"22988800\"]\n  12 [size=\"117227520\", alpha=\"0.15\", expect_size=\"35168256\"] \n  12 -> 13 [size =\"35168256\"]\n  13 [size=\"129116160\", alpha=\"0.11\", expect_size=\"38734848\"] \n  13 -> 14 [size =\"38734848\"]\n  14 [size=\"166184960\", alpha=\"0.10\", expect_size=\"49855488\"] \n  14 -> 15 [size =\"49855488\"]\n  15 [size=\"131191467\", alpha=\"0.06\", expect_size=\"39357440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82384213\", alpha=\"0.00\", expect_size=\"24715264\"] \n  2 [size=\"48001707\", alpha=\"0.15\", expect_size=\"14400512\"] \n  3 [size=\"117370880\", alpha=\"0.15\", expect_size=\"35211264\"] \n  4 [size=\"30583467\", alpha=\"0.11\", expect_size=\"9175040\"] \n  4 -> 13 [size =\"9175040\"]\n  5 [size=\"138560853\", alpha=\"0.12\", expect_size=\"41568256\"] \n  5 -> 13 [size =\"41568256\"]\n  6 [size=\"151848960\", alpha=\"0.19\", expect_size=\"45554688\"] \n  7 [size=\"136168107\", alpha=\"0.04\", expect_size=\"40850432\"] \n  7 -> 13 [size =\"40850432\"]\n  8 [size=\"26272427\", alpha=\"0.02\", expect_size=\"7881728\"] \n  8 -> 13 [size =\"7881728\"]\n  9 [size=\"145059840\", alpha=\"0.19\", expect_size=\"43517952\"] \n  10 [size=\"129481387\", alpha=\"0.19\", expect_size=\"38844416\"] \n  10 -> 14 [size =\"38844416\"]\n  10 -> 15 [size =\"38844416\"]\n  11 [size=\"155968853\", alpha=\"0.11\", expect_size=\"46790656\"] \n  11 -> 13 [size =\"46790656\"]\n  11 -> 15 [size =\"46790656\"]\n  12 [size=\"156924587\", alpha=\"0.10\", expect_size=\"47077376\"] \n  12 -> 15 [size =\"47077376\"]\n  13 [size=\"120565760\", alpha=\"0.20\", expect_size=\"36169728\"] \n  14 [size=\"82722133\", alpha=\"0.02\", expect_size=\"24816640\"] \n  15 [size=\"169355947\", alpha=\"0.19\", expect_size=\"50806784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37091840\", alpha=\"0.06\", expect_size=\"14836736\"] \n  1 -> 2 [size =\"14836736\"]\n  2 [size=\"98081280\", alpha=\"0.14\", expect_size=\"39232512\"] \n  2 -> 3 [size =\"39232512\"]\n  3 [size=\"123512320\", alpha=\"0.20\", expect_size=\"49404928\"] \n  3 -> 4 [size =\"49404928\"]\n  4 [size=\"78213120\", alpha=\"0.14\", expect_size=\"31285248\"] \n  4 -> 5 [size =\"31285248\"]\n  5 [size=\"119848960\", alpha=\"0.16\", expect_size=\"47939584\"] \n  5 -> 6 [size =\"47939584\"]\n  6 [size=\"53004800\", alpha=\"0.20\", expect_size=\"21201920\"] \n  6 -> 7 [size =\"21201920\"]\n  7 [size=\"45614080\", alpha=\"0.06\", expect_size=\"18245632\"] \n  7 -> 8 [size =\"18245632\"]\n  8 [size=\"61460480\", alpha=\"0.09\", expect_size=\"24584192\"] \n  8 -> 9 [size =\"24584192\"]\n  9 [size=\"113758720\", alpha=\"0.07\", expect_size=\"45503488\"] \n  9 -> 10 [size =\"45503488\"]\n  10 [size=\"85406720\", alpha=\"0.13\", expect_size=\"34162688\"] \n  10 -> 11 [size =\"34162688\"]\n  11 [size=\"19985920\", alpha=\"0.18\", expect_size=\"7994368\"] \n  11 -> 12 [size =\"7994368\"]\n  12 [size=\"53547520\", alpha=\"0.20\", expect_size=\"21419008\"] \n  12 -> 13 [size =\"21419008\"]\n  13 [size=\"20282880\", alpha=\"0.03\", expect_size=\"8113152\"] \n  13 -> 14 [size =\"8113152\"]\n  14 [size=\"17387520\", alpha=\"0.01\", expect_size=\"6955008\"] \n  14 -> 15 [size =\"6955008\"]\n  15 [size=\"99310080\", alpha=\"0.01\", expect_size=\"39724032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57658880\", alpha=\"0.13\", expect_size=\"23063552\"] \n  1 -> 2 [size =\"23063552\"]\n  2 [size=\"63726080\", alpha=\"0.02\", expect_size=\"25490432\"] \n  2 -> 3 [size =\"25490432\"]\n  2 -> 4 [size =\"25490432\"]\n  3 [size=\"23490560\", alpha=\"0.02\", expect_size=\"9396224\"] \n  3 -> 5 [size =\"9396224\"]\n  3 -> 6 [size =\"9396224\"]\n  4 [size=\"120962560\", alpha=\"0.01\", expect_size=\"48385024\"] \n  4 -> 5 [size =\"48385024\"]\n  4 -> 6 [size =\"48385024\"]\n  5 [size=\"81221120\", alpha=\"0.00\", expect_size=\"32488448\"] \n  5 -> 7 [size =\"32488448\"]\n  5 -> 8 [size =\"32488448\"]\n  6 [size=\"114206720\", alpha=\"0.06\", expect_size=\"45682688\"] \n  6 -> 8 [size =\"45682688\"]\n  7 [size=\"33963520\", alpha=\"0.01\", expect_size=\"13585408\"] \n  7 -> 9 [size =\"13585408\"]\n  7 -> 10 [size =\"13585408\"]\n  8 [size=\"48081920\", alpha=\"0.12\", expect_size=\"19232768\"] \n  8 -> 9 [size =\"19232768\"]\n  8 -> 10 [size =\"19232768\"]\n  9 [size=\"116085760\", alpha=\"0.04\", expect_size=\"46434304\"] \n  9 -> 11 [size =\"46434304\"]\n  10 [size=\"36165120\", alpha=\"0.05\", expect_size=\"14466048\"] \n  11 [size=\"93780480\", alpha=\"0.06\", expect_size=\"37512192\"] \n  11 -> 12 [size =\"37512192\"]\n  11 -> 13 [size =\"37512192\"]\n  12 [size=\"53086720\", alpha=\"0.05\", expect_size=\"21234688\"] \n  12 -> 14 [size =\"21234688\"]\n  13 [size=\"67210240\", alpha=\"0.11\", expect_size=\"26884096\"] \n  13 -> 14 [size =\"26884096\"]\n  14 [size=\"79413760\", alpha=\"0.18\", expect_size=\"31765504\"] \n  14 -> 15 [size =\"31765504\"]\n  15 [size=\"84185600\", alpha=\"0.12\", expect_size=\"33674240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97477120\", alpha=\"0.10\", expect_size=\"38990848\"] \n  1 -> 9 [size =\"38990848\"]\n  1 -> 12 [size =\"38990848\"]\n  2 [size=\"77132800\", alpha=\"0.13\", expect_size=\"30853120\"] \n  2 -> 8 [size =\"30853120\"]\n  2 -> 11 [size =\"30853120\"]\n  3 [size=\"90444800\", alpha=\"0.18\", expect_size=\"36177920\"] \n  3 -> 8 [size =\"36177920\"]\n  4 [size=\"66790400\", alpha=\"0.18\", expect_size=\"26716160\"] \n  4 -> 9 [size =\"26716160\"]\n  5 [size=\"76326400\", alpha=\"0.17\", expect_size=\"30530560\"] \n  5 -> 8 [size =\"30530560\"]\n  5 -> 9 [size =\"30530560\"]\n  5 -> 12 [size =\"30530560\"]\n  6 [size=\"129454080\", alpha=\"0.20\", expect_size=\"51781632\"] \n  6 -> 9 [size =\"51781632\"]\n  6 -> 10 [size =\"51781632\"]\n  6 -> 12 [size =\"51781632\"]\n  7 [size=\"30169600\", alpha=\"0.19\", expect_size=\"12067840\"] \n  7 -> 12 [size =\"12067840\"]\n  8 [size=\"126412800\", alpha=\"0.10\", expect_size=\"50565120\"] \n  9 [size=\"92738560\", alpha=\"0.01\", expect_size=\"37095424\"] \n  9 -> 15 [size =\"37095424\"]\n  10 [size=\"47073280\", alpha=\"0.07\", expect_size=\"18829312\"] \n  11 [size=\"64135680\", alpha=\"0.08\", expect_size=\"25654272\"] \n  11 -> 13 [size =\"25654272\"]\n  11 -> 14 [size =\"25654272\"]\n  12 [size=\"124723200\", alpha=\"0.05\", expect_size=\"49889280\"] \n  12 -> 15 [size =\"49889280\"]\n  13 [size=\"84664320\", alpha=\"0.13\", expect_size=\"33865728\"] \n  14 [size=\"73016320\", alpha=\"0.04\", expect_size=\"29206528\"] \n  15 [size=\"61760000\", alpha=\"0.13\", expect_size=\"24704000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44533760\", alpha=\"0.05\", expect_size=\"17813504\"] \n  2 [size=\"51673600\", alpha=\"0.15\", expect_size=\"20669440\"] \n  2 -> 4 [size =\"20669440\"]\n  3 [size=\"102781440\", alpha=\"0.08\", expect_size=\"41112576\"] \n  3 -> 4 [size =\"41112576\"]\n  3 -> 5 [size =\"41112576\"]\n  4 [size=\"126151680\", alpha=\"0.07\", expect_size=\"50460672\"] \n  4 -> 6 [size =\"50460672\"]\n  4 -> 7 [size =\"50460672\"]\n  4 -> 8 [size =\"50460672\"]\n  5 [size=\"57541120\", alpha=\"0.03\", expect_size=\"23016448\"] \n  5 -> 6 [size =\"23016448\"]\n  5 -> 7 [size =\"23016448\"]\n  5 -> 8 [size =\"23016448\"]\n  6 [size=\"102535680\", alpha=\"0.14\", expect_size=\"41014272\"] \n  6 -> 10 [size =\"41014272\"]\n  6 -> 11 [size =\"41014272\"]\n  7 [size=\"122334720\", alpha=\"0.09\", expect_size=\"48933888\"] \n  7 -> 9 [size =\"48933888\"]\n  8 [size=\"80796160\", alpha=\"0.04\", expect_size=\"32318464\"] \n  9 [size=\"75578880\", alpha=\"0.07\", expect_size=\"30231552\"] \n  10 [size=\"46338560\", alpha=\"0.15\", expect_size=\"18535424\"] \n  10 -> 12 [size =\"18535424\"]\n  10 -> 13 [size =\"18535424\"]\n  11 [size=\"100354560\", alpha=\"0.04\", expect_size=\"40141824\"] \n  11 -> 12 [size =\"40141824\"]\n  12 [size=\"14784000\", alpha=\"0.12\", expect_size=\"5913600\"] \n  12 -> 14 [size =\"5913600\"]\n  12 -> 15 [size =\"5913600\"]\n  13 [size=\"100774400\", alpha=\"0.05\", expect_size=\"40309760\"] \n  13 -> 14 [size =\"40309760\"]\n  13 -> 15 [size =\"40309760\"]\n  14 [size=\"29107200\", alpha=\"0.01\", expect_size=\"11642880\"] \n  15 [size=\"72384000\", alpha=\"0.12\", expect_size=\"28953600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39482027\", alpha=\"0.07\", expect_size=\"11844608\"] \n  1 -> 10 [size =\"11844608\"]\n  2 [size=\"51056640\", alpha=\"0.10\", expect_size=\"15316992\"] \n  2 -> 12 [size =\"15316992\"]\n  3 [size=\"122688853\", alpha=\"0.18\", expect_size=\"36806656\"] \n  3 -> 9 [size =\"36806656\"]\n  4 [size=\"75516587\", alpha=\"0.07\", expect_size=\"22654976\"] \n  4 -> 9 [size =\"22654976\"]\n  4 -> 10 [size =\"22654976\"]\n  5 [size=\"64768000\", alpha=\"0.08\", expect_size=\"19430400\"] \n  5 -> 9 [size =\"19430400\"]\n  5 -> 12 [size =\"19430400\"]\n  6 [size=\"120309760\", alpha=\"0.19\", expect_size=\"36092928\"] \n  6 -> 11 [size =\"36092928\"]\n  7 [size=\"92910933\", alpha=\"0.14\", expect_size=\"27873280\"] \n  7 -> 9 [size =\"27873280\"]\n  7 -> 12 [size =\"27873280\"]\n  8 [size=\"72400213\", alpha=\"0.16\", expect_size=\"21720064\"] \n  8 -> 10 [size =\"21720064\"]\n  8 -> 11 [size =\"21720064\"]\n  8 -> 12 [size =\"21720064\"]\n  9 [size=\"152883200\", alpha=\"0.09\", expect_size=\"45864960\"] \n  9 -> 13 [size =\"45864960\"]\n  9 -> 15 [size =\"45864960\"]\n  10 [size=\"95941973\", alpha=\"0.15\", expect_size=\"28782592\"] \n  10 -> 14 [size =\"28782592\"]\n  11 [size=\"168717653\", alpha=\"0.18\", expect_size=\"50615296\"] \n  11 -> 13 [size =\"50615296\"]\n  12 [size=\"65092267\", alpha=\"0.00\", expect_size=\"19527680\"] \n  12 -> 14 [size =\"19527680\"]\n  12 -> 15 [size =\"19527680\"]\n  13 [size=\"143196160\", alpha=\"0.20\", expect_size=\"42958848\"] \n  14 [size=\"123798187\", alpha=\"0.17\", expect_size=\"37139456\"] \n  15 [size=\"23009280\", alpha=\"0.18\", expect_size=\"6902784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120828587\", alpha=\"0.04\", expect_size=\"36248576\"] \n  1 -> 5 [size =\"36248576\"]\n  1 -> 6 [size =\"36248576\"]\n  2 [size=\"18568533\", alpha=\"0.11\", expect_size=\"5570560\"] \n  2 -> 5 [size =\"5570560\"]\n  2 -> 6 [size =\"5570560\"]\n  3 [size=\"91934720\", alpha=\"0.17\", expect_size=\"27580416\"] \n  3 -> 4 [size =\"27580416\"]\n  3 -> 5 [size =\"27580416\"]\n  3 -> 6 [size =\"27580416\"]\n  4 [size=\"117862400\", alpha=\"0.20\", expect_size=\"35358720\"] \n  4 -> 7 [size =\"35358720\"]\n  4 -> 8 [size =\"35358720\"]\n  5 [size=\"84442453\", alpha=\"0.05\", expect_size=\"25332736\"] \n  5 -> 7 [size =\"25332736\"]\n  5 -> 9 [size =\"25332736\"]\n  6 [size=\"48257707\", alpha=\"0.03\", expect_size=\"14477312\"] \n  6 -> 8 [size =\"14477312\"]\n  6 -> 9 [size =\"14477312\"]\n  7 [size=\"138110293\", alpha=\"0.13\", expect_size=\"41433088\"] \n  7 -> 10 [size =\"41433088\"]\n  7 -> 11 [size =\"41433088\"]\n  8 [size=\"39905280\", alpha=\"0.04\", expect_size=\"11971584\"] \n  8 -> 10 [size =\"11971584\"]\n  8 -> 11 [size =\"11971584\"]\n  9 [size=\"168970240\", alpha=\"0.03\", expect_size=\"50691072\"] \n  9 -> 10 [size =\"50691072\"]\n  9 -> 11 [size =\"50691072\"]\n  10 [size=\"117684907\", alpha=\"0.01\", expect_size=\"35305472\"] \n  10 -> 12 [size =\"35305472\"]\n  10 -> 13 [size =\"35305472\"]\n  10 -> 14 [size =\"35305472\"]\n  11 [size=\"153152853\", alpha=\"0.07\", expect_size=\"45945856\"] \n  11 -> 12 [size =\"45945856\"]\n  11 -> 13 [size =\"45945856\"]\n  11 -> 14 [size =\"45945856\"]\n  12 [size=\"30484480\", alpha=\"0.17\", expect_size=\"9145344\"] \n  12 -> 15 [size =\"9145344\"]\n  13 [size=\"113281707\", alpha=\"0.18\", expect_size=\"33984512\"] \n  14 [size=\"86326613\", alpha=\"0.04\", expect_size=\"25897984\"] \n  14 -> 15 [size =\"25897984\"]\n  15 [size=\"84063573\", alpha=\"0.11\", expect_size=\"25219072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84076544\", alpha=\"0.15\", expect_size=\"42038272\"] \n  1 -> 14 [size =\"42038272\"]\n  1 -> 15 [size =\"42038272\"]\n  2 [size=\"73498624\", alpha=\"0.18\", expect_size=\"36749312\"] \n  3 [size=\"88965120\", alpha=\"0.10\", expect_size=\"44482560\"] \n  3 -> 14 [size =\"44482560\"]\n  4 [size=\"43583488\", alpha=\"0.13\", expect_size=\"21791744\"] \n  4 -> 13 [size =\"21791744\"]\n  4 -> 14 [size =\"21791744\"]\n  5 [size=\"87138304\", alpha=\"0.13\", expect_size=\"43569152\"] \n  5 -> 14 [size =\"43569152\"]\n  6 [size=\"11855872\", alpha=\"0.14\", expect_size=\"5927936\"] \n  6 -> 13 [size =\"5927936\"]\n  6 -> 15 [size =\"5927936\"]\n  7 [size=\"46188544\", alpha=\"0.19\", expect_size=\"23094272\"] \n  7 -> 15 [size =\"23094272\"]\n  7 -> 15 [size =\"23094272\"]\n  8 [size=\"49831936\", alpha=\"0.12\", expect_size=\"24915968\"] \n  9 [size=\"62914560\", alpha=\"0.20\", expect_size=\"31457280\"] \n  9 -> 13 [size =\"31457280\"]\n  10 [size=\"90122240\", alpha=\"0.13\", expect_size=\"45061120\"] \n  10 -> 13 [size =\"45061120\"]\n  10 -> 15 [size =\"45061120\"]\n  11 [size=\"69609472\", alpha=\"0.04\", expect_size=\"34804736\"] \n  11 -> 14 [size =\"34804736\"]\n  12 [size=\"44883968\", alpha=\"0.02\", expect_size=\"22441984\"] \n  12 -> 14 [size =\"22441984\"]\n  12 -> 15 [size =\"22441984\"]\n  13 [size=\"36456448\", alpha=\"0.15\", expect_size=\"18228224\"] \n  14 [size=\"85377024\", alpha=\"0.11\", expect_size=\"42688512\"] \n  15 [size=\"53643264\", alpha=\"0.12\", expect_size=\"26821632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129611093\", alpha=\"0.00\", expect_size=\"38883328\"] \n  1 -> 4 [size =\"38883328\"]\n  1 -> 5 [size =\"38883328\"]\n  2 [size=\"126747307\", alpha=\"0.06\", expect_size=\"38024192\"] \n  2 -> 3 [size =\"38024192\"]\n  2 -> 5 [size =\"38024192\"]\n  3 [size=\"111086933\", alpha=\"0.04\", expect_size=\"33326080\"] \n  3 -> 6 [size =\"33326080\"]\n  3 -> 7 [size =\"33326080\"]\n  4 [size=\"29726720\", alpha=\"0.14\", expect_size=\"8918016\"] \n  4 -> 8 [size =\"8918016\"]\n  5 [size=\"39137280\", alpha=\"0.15\", expect_size=\"11741184\"] \n  5 -> 6 [size =\"11741184\"]\n  5 -> 7 [size =\"11741184\"]\n  5 -> 8 [size =\"11741184\"]\n  6 [size=\"90494293\", alpha=\"0.17\", expect_size=\"27148288\"] \n  6 -> 11 [size =\"27148288\"]\n  7 [size=\"95064747\", alpha=\"0.02\", expect_size=\"28519424\"] \n  7 -> 9 [size =\"28519424\"]\n  7 -> 11 [size =\"28519424\"]\n  8 [size=\"79523840\", alpha=\"0.12\", expect_size=\"23857152\"] \n  8 -> 9 [size =\"23857152\"]\n  8 -> 10 [size =\"23857152\"]\n  9 [size=\"112715093\", alpha=\"0.07\", expect_size=\"33814528\"] \n  9 -> 13 [size =\"33814528\"]\n  10 [size=\"99201707\", alpha=\"0.16\", expect_size=\"29760512\"] \n  10 -> 12 [size =\"29760512\"]\n  11 [size=\"149602987\", alpha=\"0.05\", expect_size=\"44880896\"] \n  11 -> 12 [size =\"44880896\"]\n  12 [size=\"149715627\", alpha=\"0.17\", expect_size=\"44914688\"] \n  12 -> 14 [size =\"44914688\"]\n  12 -> 15 [size =\"44914688\"]\n  13 [size=\"39154347\", alpha=\"0.13\", expect_size=\"11746304\"] \n  13 -> 14 [size =\"11746304\"]\n  14 [size=\"73031680\", alpha=\"0.19\", expect_size=\"21909504\"] \n  15 [size=\"24244907\", alpha=\"0.02\", expect_size=\"7273472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31971840\", alpha=\"0.14\", expect_size=\"12788736\"] \n  1 -> 3 [size =\"12788736\"]\n  1 -> 4 [size =\"12788736\"]\n  1 -> 5 [size =\"12788736\"]\n  2 [size=\"17408000\", alpha=\"0.09\", expect_size=\"6963200\"] \n  2 -> 3 [size =\"6963200\"]\n  2 -> 4 [size =\"6963200\"]\n  3 [size=\"96104960\", alpha=\"0.14\", expect_size=\"38441984\"] \n  3 -> 7 [size =\"38441984\"]\n  4 [size=\"121592320\", alpha=\"0.05\", expect_size=\"48636928\"] \n  5 [size=\"61936640\", alpha=\"0.11\", expect_size=\"24774656\"] \n  5 -> 6 [size =\"24774656\"]\n  5 -> 7 [size =\"24774656\"]\n  6 [size=\"93852160\", alpha=\"0.17\", expect_size=\"37540864\"] \n  6 -> 9 [size =\"37540864\"]\n  6 -> 10 [size =\"37540864\"]\n  7 [size=\"121024000\", alpha=\"0.18\", expect_size=\"48409600\"] \n  7 -> 8 [size =\"48409600\"]\n  7 -> 9 [size =\"48409600\"]\n  7 -> 10 [size =\"48409600\"]\n  8 [size=\"93240320\", alpha=\"0.07\", expect_size=\"37296128\"] \n  8 -> 11 [size =\"37296128\"]\n  8 -> 12 [size =\"37296128\"]\n  9 [size=\"80568320\", alpha=\"0.05\", expect_size=\"32227328\"] \n  9 -> 12 [size =\"32227328\"]\n  9 -> 13 [size =\"32227328\"]\n  10 [size=\"95175680\", alpha=\"0.19\", expect_size=\"38070272\"] \n  10 -> 11 [size =\"38070272\"]\n  10 -> 13 [size =\"38070272\"]\n  11 [size=\"60108800\", alpha=\"0.12\", expect_size=\"24043520\"] \n  11 -> 14 [size =\"24043520\"]\n  11 -> 15 [size =\"24043520\"]\n  12 [size=\"27266560\", alpha=\"0.05\", expect_size=\"10906624\"] \n  13 [size=\"79582720\", alpha=\"0.15\", expect_size=\"31833088\"] \n  13 -> 14 [size =\"31833088\"]\n  13 -> 15 [size =\"31833088\"]\n  14 [size=\"41912320\", alpha=\"0.06\", expect_size=\"16764928\"] \n  15 [size=\"70919680\", alpha=\"0.02\", expect_size=\"28367872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68823040\", alpha=\"0.04\", expect_size=\"20646912\"] \n  1 -> 2 [size =\"20646912\"]\n  1 -> 3 [size =\"20646912\"]\n  1 -> 4 [size =\"20646912\"]\n  2 [size=\"137014613\", alpha=\"0.02\", expect_size=\"41104384\"] \n  2 -> 6 [size =\"41104384\"]\n  3 [size=\"120528213\", alpha=\"0.18\", expect_size=\"36158464\"] \n  3 -> 5 [size =\"36158464\"]\n  3 -> 6 [size =\"36158464\"]\n  4 [size=\"58999467\", alpha=\"0.12\", expect_size=\"17699840\"] \n  4 -> 5 [size =\"17699840\"]\n  4 -> 6 [size =\"17699840\"]\n  5 [size=\"44496213\", alpha=\"0.11\", expect_size=\"13348864\"] \n  5 -> 7 [size =\"13348864\"]\n  5 -> 8 [size =\"13348864\"]\n  6 [size=\"109629440\", alpha=\"0.04\", expect_size=\"32888832\"] \n  6 -> 7 [size =\"32888832\"]\n  6 -> 8 [size =\"32888832\"]\n  7 [size=\"67413333\", alpha=\"0.13\", expect_size=\"20224000\"] \n  7 -> 9 [size =\"20224000\"]\n  8 [size=\"170963627\", alpha=\"0.15\", expect_size=\"51289088\"] \n  8 -> 9 [size =\"51289088\"]\n  9 [size=\"125975893\", alpha=\"0.01\", expect_size=\"37792768\"] \n  9 -> 10 [size =\"37792768\"]\n  9 -> 11 [size =\"37792768\"]\n  9 -> 12 [size =\"37792768\"]\n  10 [size=\"133160960\", alpha=\"0.09\", expect_size=\"39948288\"] \n  10 -> 13 [size =\"39948288\"]\n  10 -> 14 [size =\"39948288\"]\n  11 [size=\"88391680\", alpha=\"0.03\", expect_size=\"26517504\"] \n  11 -> 13 [size =\"26517504\"]\n  11 -> 14 [size =\"26517504\"]\n  12 [size=\"117009067\", alpha=\"0.12\", expect_size=\"35102720\"] \n  12 -> 13 [size =\"35102720\"]\n  13 [size=\"130798933\", alpha=\"0.09\", expect_size=\"39239680\"] \n  13 -> 15 [size =\"39239680\"]\n  14 [size=\"115391147\", alpha=\"0.15\", expect_size=\"34617344\"] \n  14 -> 15 [size =\"34617344\"]\n  15 [size=\"51978240\", alpha=\"0.00\", expect_size=\"15593472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32311296\", alpha=\"0.13\", expect_size=\"16155648\"] \n  1 -> 7 [size =\"16155648\"]\n  1 -> 11 [size =\"16155648\"]\n  2 [size=\"28049408\", alpha=\"0.15\", expect_size=\"14024704\"] \n  3 [size=\"22239232\", alpha=\"0.18\", expect_size=\"11119616\"] \n  3 -> 8 [size =\"11119616\"]\n  3 -> 9 [size =\"11119616\"]\n  3 -> 10 [size =\"11119616\"]\n  3 -> 11 [size =\"11119616\"]\n  4 [size=\"48130048\", alpha=\"0.05\", expect_size=\"24065024\"] \n  4 -> 6 [size =\"24065024\"]\n  4 -> 8 [size =\"24065024\"]\n  4 -> 11 [size =\"24065024\"]\n  4 -> 11 [size =\"24065024\"]\n  5 [size=\"82655232\", alpha=\"0.07\", expect_size=\"41327616\"] \n  5 -> 6 [size =\"41327616\"]\n  5 -> 7 [size =\"41327616\"]\n  5 -> 8 [size =\"41327616\"]\n  6 [size=\"82907136\", alpha=\"0.08\", expect_size=\"41453568\"] \n  6 -> 13 [size =\"41453568\"]\n  6 -> 14 [size =\"41453568\"]\n  6 -> 15 [size =\"41453568\"]\n  7 [size=\"15613952\", alpha=\"0.06\", expect_size=\"7806976\"] \n  7 -> 14 [size =\"7806976\"]\n  7 -> 15 [size =\"7806976\"]\n  8 [size=\"20840448\", alpha=\"0.14\", expect_size=\"10420224\"] \n  9 [size=\"38461440\", alpha=\"0.06\", expect_size=\"19230720\"] \n  9 -> 14 [size =\"19230720\"]\n  10 [size=\"10553344\", alpha=\"0.06\", expect_size=\"5276672\"] \n  10 -> 12 [size =\"5276672\"]\n  10 -> 15 [size =\"5276672\"]\n  11 [size=\"59086848\", alpha=\"0.14\", expect_size=\"29543424\"] \n  11 -> 13 [size =\"29543424\"]\n  11 -> 14 [size =\"29543424\"]\n  11 -> 15 [size =\"29543424\"]\n  12 [size=\"24299520\", alpha=\"0.01\", expect_size=\"12149760\"] \n  13 [size=\"94228480\", alpha=\"0.16\", expect_size=\"47114240\"] \n  14 [size=\"84899840\", alpha=\"0.09\", expect_size=\"42449920\"] \n  15 [size=\"13744128\", alpha=\"0.19\", expect_size=\"6872064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167761920\", alpha=\"0.15\", expect_size=\"50328576\"] \n  1 -> 2 [size =\"50328576\"]\n  1 -> 3 [size =\"50328576\"]\n  2 [size=\"166676480\", alpha=\"0.05\", expect_size=\"50002944\"] \n  2 -> 4 [size =\"50002944\"]\n  2 -> 5 [size =\"50002944\"]\n  2 -> 6 [size =\"50002944\"]\n  3 [size=\"48455680\", alpha=\"0.13\", expect_size=\"14536704\"] \n  3 -> 4 [size =\"14536704\"]\n  3 -> 5 [size =\"14536704\"]\n  3 -> 6 [size =\"14536704\"]\n  4 [size=\"127962453\", alpha=\"0.01\", expect_size=\"38388736\"] \n  4 -> 7 [size =\"38388736\"]\n  5 [size=\"153111893\", alpha=\"0.18\", expect_size=\"45933568\"] \n  5 -> 7 [size =\"45933568\"]\n  5 -> 8 [size =\"45933568\"]\n  6 [size=\"46615893\", alpha=\"0.14\", expect_size=\"13984768\"] \n  6 -> 7 [size =\"13984768\"]\n  7 [size=\"102304427\", alpha=\"0.09\", expect_size=\"30691328\"] \n  7 -> 9 [size =\"30691328\"]\n  8 [size=\"116517547\", alpha=\"0.08\", expect_size=\"34955264\"] \n  8 -> 9 [size =\"34955264\"]\n  8 -> 10 [size =\"34955264\"]\n  8 -> 11 [size =\"34955264\"]\n  8 -> 12 [size =\"34955264\"]\n  9 [size=\"36454400\", alpha=\"0.17\", expect_size=\"10936320\"] \n  9 -> 13 [size =\"10936320\"]\n  9 -> 14 [size =\"10936320\"]\n  9 -> 15 [size =\"10936320\"]\n  10 [size=\"135871147\", alpha=\"0.14\", expect_size=\"40761344\"] \n  10 -> 13 [size =\"40761344\"]\n  10 -> 14 [size =\"40761344\"]\n  10 -> 15 [size =\"40761344\"]\n  11 [size=\"104587947\", alpha=\"0.16\", expect_size=\"31376384\"] \n  11 -> 13 [size =\"31376384\"]\n  12 [size=\"64075093\", alpha=\"0.11\", expect_size=\"19222528\"] \n  12 -> 13 [size =\"19222528\"]\n  12 -> 14 [size =\"19222528\"]\n  12 -> 15 [size =\"19222528\"]\n  13 [size=\"102656000\", alpha=\"0.05\", expect_size=\"30796800\"] \n  14 [size=\"44424533\", alpha=\"0.14\", expect_size=\"13327360\"] \n  15 [size=\"53350400\", alpha=\"0.06\", expect_size=\"16005120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43640832\", alpha=\"0.03\", expect_size=\"21820416\"] \n  1 -> 6 [size =\"21820416\"]\n  2 [size=\"46907392\", alpha=\"0.06\", expect_size=\"23453696\"] \n  2 -> 5 [size =\"23453696\"]\n  2 -> 6 [size =\"23453696\"]\n  3 [size=\"46759936\", alpha=\"0.12\", expect_size=\"23379968\"] \n  3 -> 4 [size =\"23379968\"]\n  3 -> 6 [size =\"23379968\"]\n  4 [size=\"64993280\", alpha=\"0.14\", expect_size=\"32496640\"] \n  4 -> 9 [size =\"32496640\"]\n  5 [size=\"49563648\", alpha=\"0.04\", expect_size=\"24781824\"] \n  5 -> 9 [size =\"24781824\"]\n  6 [size=\"95797248\", alpha=\"0.02\", expect_size=\"47898624\"] \n  6 -> 7 [size =\"47898624\"]\n  6 -> 8 [size =\"47898624\"]\n  6 -> 9 [size =\"47898624\"]\n  7 [size=\"39458816\", alpha=\"0.00\", expect_size=\"19729408\"] \n  7 -> 10 [size =\"19729408\"]\n  7 -> 11 [size =\"19729408\"]\n  8 [size=\"97923072\", alpha=\"0.12\", expect_size=\"48961536\"] \n  8 -> 10 [size =\"48961536\"]\n  9 [size=\"22489088\", alpha=\"0.05\", expect_size=\"11244544\"] \n  9 -> 10 [size =\"11244544\"]\n  9 -> 11 [size =\"11244544\"]\n  9 -> 12 [size =\"11244544\"]\n  10 [size=\"102371328\", alpha=\"0.15\", expect_size=\"51185664\"] \n  11 [size=\"91791360\", alpha=\"0.05\", expect_size=\"45895680\"] \n  11 -> 14 [size =\"45895680\"]\n  11 -> 15 [size =\"45895680\"]\n  12 [size=\"13254656\", alpha=\"0.06\", expect_size=\"6627328\"] \n  12 -> 13 [size =\"6627328\"]\n  12 -> 14 [size =\"6627328\"]\n  12 -> 15 [size =\"6627328\"]\n  13 [size=\"39593984\", alpha=\"0.16\", expect_size=\"19796992\"] \n  14 [size=\"96999424\", alpha=\"0.15\", expect_size=\"48499712\"] \n  15 [size=\"70721536\", alpha=\"0.20\", expect_size=\"35360768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29616128\", alpha=\"0.14\", expect_size=\"14808064\"] \n  1 -> 2 [size =\"14808064\"]\n  2 [size=\"15634432\", alpha=\"0.02\", expect_size=\"7817216\"] \n  2 -> 3 [size =\"7817216\"]\n  2 -> 4 [size =\"7817216\"]\n  3 [size=\"51585024\", alpha=\"0.11\", expect_size=\"25792512\"] \n  4 [size=\"61503488\", alpha=\"0.00\", expect_size=\"30751744\"] \n  4 -> 5 [size =\"30751744\"]\n  5 [size=\"14258176\", alpha=\"0.19\", expect_size=\"7129088\"] \n  5 -> 6 [size =\"7129088\"]\n  6 [size=\"42137600\", alpha=\"0.05\", expect_size=\"21068800\"] \n  6 -> 7 [size =\"21068800\"]\n  7 [size=\"80566272\", alpha=\"0.13\", expect_size=\"40283136\"] \n  7 -> 8 [size =\"40283136\"]\n  7 -> 9 [size =\"40283136\"]\n  8 [size=\"96669696\", alpha=\"0.16\", expect_size=\"48334848\"] \n  8 -> 10 [size =\"48334848\"]\n  8 -> 11 [size =\"48334848\"]\n  9 [size=\"26230784\", alpha=\"0.10\", expect_size=\"13115392\"] \n  9 -> 10 [size =\"13115392\"]\n  9 -> 11 [size =\"13115392\"]\n  10 [size=\"97476608\", alpha=\"0.04\", expect_size=\"48738304\"] \n  10 -> 12 [size =\"48738304\"]\n  11 [size=\"30900224\", alpha=\"0.10\", expect_size=\"15450112\"] \n  11 -> 12 [size =\"15450112\"]\n  12 [size=\"97669120\", alpha=\"0.17\", expect_size=\"48834560\"] \n  12 -> 13 [size =\"48834560\"]\n  12 -> 14 [size =\"48834560\"]\n  13 [size=\"10790912\", alpha=\"0.19\", expect_size=\"5395456\"] \n  14 [size=\"61421568\", alpha=\"0.08\", expect_size=\"30710784\"] \n  14 -> 15 [size =\"30710784\"]\n  15 [size=\"61710336\", alpha=\"0.00\", expect_size=\"30855168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68232533\", alpha=\"0.15\", expect_size=\"20469760\"] \n  1 -> 2 [size =\"20469760\"]\n  2 [size=\"170325333\", alpha=\"0.08\", expect_size=\"51097600\"] \n  2 -> 3 [size =\"51097600\"]\n  2 -> 4 [size =\"51097600\"]\n  3 [size=\"108639573\", alpha=\"0.13\", expect_size=\"32591872\"] \n  3 -> 5 [size =\"32591872\"]\n  4 [size=\"137949867\", alpha=\"0.11\", expect_size=\"41384960\"] \n  4 -> 6 [size =\"41384960\"]\n  5 [size=\"57316693\", alpha=\"0.05\", expect_size=\"17195008\"] \n  5 -> 7 [size =\"17195008\"]\n  6 [size=\"86005760\", alpha=\"0.14\", expect_size=\"25801728\"] \n  7 [size=\"156569600\", alpha=\"0.03\", expect_size=\"46970880\"] \n  7 -> 8 [size =\"46970880\"]\n  8 [size=\"46830933\", alpha=\"0.00\", expect_size=\"14049280\"] \n  8 -> 9 [size =\"14049280\"]\n  9 [size=\"61784747\", alpha=\"0.07\", expect_size=\"18535424\"] \n  9 -> 10 [size =\"18535424\"]\n  9 -> 11 [size =\"18535424\"]\n  10 [size=\"172960427\", alpha=\"0.08\", expect_size=\"51888128\"] \n  11 [size=\"77226667\", alpha=\"0.15\", expect_size=\"23168000\"] \n  11 -> 12 [size =\"23168000\"]\n  11 -> 13 [size =\"23168000\"]\n  12 [size=\"34464427\", alpha=\"0.13\", expect_size=\"10339328\"] \n  12 -> 14 [size =\"10339328\"]\n  13 [size=\"97266347\", alpha=\"0.04\", expect_size=\"29179904\"] \n  14 [size=\"43772587\", alpha=\"0.14\", expect_size=\"13131776\"] \n  14 -> 15 [size =\"13131776\"]\n  15 [size=\"128334507\", alpha=\"0.02\", expect_size=\"38500352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66822827\", alpha=\"0.18\", expect_size=\"20046848\"] \n  1 -> 3 [size =\"20046848\"]\n  2 [size=\"88715947\", alpha=\"0.19\", expect_size=\"26614784\"] \n  3 [size=\"155863040\", alpha=\"0.13\", expect_size=\"46758912\"] \n  3 -> 4 [size =\"46758912\"]\n  4 [size=\"94818987\", alpha=\"0.03\", expect_size=\"28445696\"] \n  4 -> 5 [size =\"28445696\"]\n  5 [size=\"76748800\", alpha=\"0.04\", expect_size=\"23024640\"] \n  5 -> 6 [size =\"23024640\"]\n  5 -> 7 [size =\"23024640\"]\n  6 [size=\"108209493\", alpha=\"0.09\", expect_size=\"32462848\"] \n  6 -> 8 [size =\"32462848\"]\n  7 [size=\"149544960\", alpha=\"0.00\", expect_size=\"44863488\"] \n  7 -> 8 [size =\"44863488\"]\n  8 [size=\"156429653\", alpha=\"0.07\", expect_size=\"46928896\"] \n  8 -> 9 [size =\"46928896\"]\n  8 -> 10 [size =\"46928896\"]\n  9 [size=\"140666880\", alpha=\"0.05\", expect_size=\"42200064\"] \n  9 -> 11 [size =\"42200064\"]\n  10 [size=\"155596800\", alpha=\"0.11\", expect_size=\"46679040\"] \n  10 -> 11 [size =\"46679040\"]\n  11 [size=\"143537493\", alpha=\"0.02\", expect_size=\"43061248\"] \n  11 -> 12 [size =\"43061248\"]\n  12 [size=\"125859840\", alpha=\"0.19\", expect_size=\"37757952\"] \n  12 -> 13 [size =\"37757952\"]\n  13 [size=\"117848747\", alpha=\"0.11\", expect_size=\"35354624\"] \n  13 -> 14 [size =\"35354624\"]\n  13 -> 15 [size =\"35354624\"]\n  14 [size=\"63013547\", alpha=\"0.19\", expect_size=\"18904064\"] \n  15 [size=\"87108267\", alpha=\"0.11\", expect_size=\"26132480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67873280\", alpha=\"0.12\", expect_size=\"27149312\"] \n  1 -> 9 [size =\"27149312\"]\n  1 -> 11 [size =\"27149312\"]\n  2 [size=\"86732800\", alpha=\"0.11\", expect_size=\"34693120\"] \n  2 -> 9 [size =\"34693120\"]\n  2 -> 11 [size =\"34693120\"]\n  3 [size=\"129364480\", alpha=\"0.13\", expect_size=\"51745792\"] \n  4 [size=\"52500480\", alpha=\"0.19\", expect_size=\"21000192\"] \n  4 -> 7 [size =\"21000192\"]\n  4 -> 8 [size =\"21000192\"]\n  5 [size=\"41433600\", alpha=\"0.08\", expect_size=\"16573440\"] \n  5 -> 8 [size =\"16573440\"]\n  5 -> 9 [size =\"16573440\"]\n  5 -> 10 [size =\"16573440\"]\n  5 -> 11 [size =\"16573440\"]\n  6 [size=\"14036480\", alpha=\"0.13\", expect_size=\"5614592\"] \n  6 -> 8 [size =\"5614592\"]\n  6 -> 9 [size =\"5614592\"]\n  7 [size=\"71720960\", alpha=\"0.12\", expect_size=\"28688384\"] \n  7 -> 12 [size =\"28688384\"]\n  8 [size=\"20354560\", alpha=\"0.10\", expect_size=\"8141824\"] \n  8 -> 13 [size =\"8141824\"]\n  8 -> 15 [size =\"8141824\"]\n  9 [size=\"111616000\", alpha=\"0.09\", expect_size=\"44646400\"] \n  9 -> 12 [size =\"44646400\"]\n  9 -> 13 [size =\"44646400\"]\n  9 -> 14 [size =\"44646400\"]\n  9 -> 15 [size =\"44646400\"]\n  10 [size=\"62643200\", alpha=\"0.16\", expect_size=\"25057280\"] \n  10 -> 12 [size =\"25057280\"]\n  10 -> 13 [size =\"25057280\"]\n  10 -> 15 [size =\"25057280\"]\n  11 [size=\"109381120\", alpha=\"0.12\", expect_size=\"43752448\"] \n  12 [size=\"62364160\", alpha=\"0.05\", expect_size=\"24945664\"] \n  13 [size=\"130170880\", alpha=\"0.14\", expect_size=\"52068352\"] \n  14 [size=\"86704640\", alpha=\"0.04\", expect_size=\"34681856\"] \n  15 [size=\"78346240\", alpha=\"0.10\", expect_size=\"31338496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47957333\", alpha=\"0.02\", expect_size=\"14387200\"] \n  2 [size=\"38440960\", alpha=\"0.17\", expect_size=\"11532288\"] \n  3 [size=\"60262400\", alpha=\"0.13\", expect_size=\"18078720\"] \n  4 [size=\"168116907\", alpha=\"0.03\", expect_size=\"50435072\"] \n  5 [size=\"110400853\", alpha=\"0.13\", expect_size=\"33120256\"] \n  6 [size=\"44376747\", alpha=\"0.18\", expect_size=\"13313024\"] \n  7 [size=\"63662080\", alpha=\"0.12\", expect_size=\"19098624\"] \n  8 [size=\"89620480\", alpha=\"0.10\", expect_size=\"26886144\"] \n  9 [size=\"112954027\", alpha=\"0.15\", expect_size=\"33886208\"] \n  10 [size=\"148985173\", alpha=\"0.13\", expect_size=\"44695552\"] \n  11 [size=\"146189653\", alpha=\"0.03\", expect_size=\"43856896\"] \n  12 [size=\"162645333\", alpha=\"0.04\", expect_size=\"48793600\"] \n  13 [size=\"138499413\", alpha=\"0.08\", expect_size=\"41549824\"] \n  14 [size=\"84299093\", alpha=\"0.17\", expect_size=\"25289728\"] \n  15 [size=\"105908907\", alpha=\"0.15\", expect_size=\"31772672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55492608\", alpha=\"0.19\", expect_size=\"27746304\"] \n  1 -> 2 [size =\"27746304\"]\n  1 -> 3 [size =\"27746304\"]\n  2 [size=\"28856320\", alpha=\"0.02\", expect_size=\"14428160\"] \n  3 [size=\"60946432\", alpha=\"0.06\", expect_size=\"30473216\"] \n  3 -> 4 [size =\"30473216\"]\n  4 [size=\"68802560\", alpha=\"0.04\", expect_size=\"34401280\"] \n  4 -> 5 [size =\"34401280\"]\n  4 -> 6 [size =\"34401280\"]\n  5 [size=\"92127232\", alpha=\"0.10\", expect_size=\"46063616\"] \n  6 [size=\"16779264\", alpha=\"0.02\", expect_size=\"8389632\"] \n  6 -> 7 [size =\"8389632\"]\n  7 [size=\"59791360\", alpha=\"0.18\", expect_size=\"29895680\"] \n  7 -> 8 [size =\"29895680\"]\n  7 -> 9 [size =\"29895680\"]\n  8 [size=\"78594048\", alpha=\"0.20\", expect_size=\"39297024\"] \n  8 -> 10 [size =\"39297024\"]\n  8 -> 11 [size =\"39297024\"]\n  9 [size=\"54542336\", alpha=\"0.20\", expect_size=\"27271168\"] \n  10 [size=\"13854720\", alpha=\"0.06\", expect_size=\"6927360\"] \n  10 -> 13 [size =\"6927360\"]\n  11 [size=\"91725824\", alpha=\"0.01\", expect_size=\"45862912\"] \n  11 -> 12 [size =\"45862912\"]\n  12 [size=\"86110208\", alpha=\"0.09\", expect_size=\"43055104\"] \n  12 -> 14 [size =\"43055104\"]\n  13 [size=\"93698048\", alpha=\"0.18\", expect_size=\"46849024\"] \n  14 [size=\"26052608\", alpha=\"0.07\", expect_size=\"13026304\"] \n  14 -> 15 [size =\"13026304\"]\n  15 [size=\"46532608\", alpha=\"0.19\", expect_size=\"23266304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56313173\", alpha=\"0.18\", expect_size=\"16893952\"] \n  1 -> 4 [size =\"16893952\"]\n  2 [size=\"96843093\", alpha=\"0.10\", expect_size=\"29052928\"] \n  2 -> 3 [size =\"29052928\"]\n  2 -> 4 [size =\"29052928\"]\n  3 [size=\"123811840\", alpha=\"0.02\", expect_size=\"37143552\"] \n  3 -> 5 [size =\"37143552\"]\n  4 [size=\"69980160\", alpha=\"0.07\", expect_size=\"20994048\"] \n  4 -> 5 [size =\"20994048\"]\n  5 [size=\"167495680\", alpha=\"0.05\", expect_size=\"50248704\"] \n  5 -> 6 [size =\"50248704\"]\n  5 -> 7 [size =\"50248704\"]\n  6 [size=\"21684907\", alpha=\"0.07\", expect_size=\"6505472\"] \n  6 -> 8 [size =\"6505472\"]\n  7 [size=\"39403520\", alpha=\"0.04\", expect_size=\"11821056\"] \n  8 [size=\"73625600\", alpha=\"0.12\", expect_size=\"22087680\"] \n  8 -> 9 [size =\"22087680\"]\n  9 [size=\"141725013\", alpha=\"0.01\", expect_size=\"42517504\"] \n  9 -> 10 [size =\"42517504\"]\n  10 [size=\"49821013\", alpha=\"0.01\", expect_size=\"14946304\"] \n  10 -> 11 [size =\"14946304\"]\n  11 [size=\"67498667\", alpha=\"0.17\", expect_size=\"20249600\"] \n  11 -> 12 [size =\"20249600\"]\n  12 [size=\"50196480\", alpha=\"0.15\", expect_size=\"15058944\"] \n  12 -> 13 [size =\"15058944\"]\n  13 [size=\"128692907\", alpha=\"0.04\", expect_size=\"38607872\"] \n  13 -> 14 [size =\"38607872\"]\n  14 [size=\"140759040\", alpha=\"0.10\", expect_size=\"42227712\"] \n  14 -> 15 [size =\"42227712\"]\n  15 [size=\"38993920\", alpha=\"0.00\", expect_size=\"11698176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50711893\", alpha=\"0.07\", expect_size=\"15213568\"] \n  1 -> 2 [size =\"15213568\"]\n  2 [size=\"19954347\", alpha=\"0.11\", expect_size=\"5986304\"] \n  2 -> 3 [size =\"5986304\"]\n  3 [size=\"166570667\", alpha=\"0.09\", expect_size=\"49971200\"] \n  3 -> 4 [size =\"49971200\"]\n  4 [size=\"102751573\", alpha=\"0.14\", expect_size=\"30825472\"] \n  4 -> 5 [size =\"30825472\"]\n  5 [size=\"154688853\", alpha=\"0.11\", expect_size=\"46406656\"] \n  5 -> 6 [size =\"46406656\"]\n  6 [size=\"162764800\", alpha=\"0.15\", expect_size=\"48829440\"] \n  6 -> 7 [size =\"48829440\"]\n  7 [size=\"136011093\", alpha=\"0.13\", expect_size=\"40803328\"] \n  7 -> 8 [size =\"40803328\"]\n  8 [size=\"52869120\", alpha=\"0.04\", expect_size=\"15860736\"] \n  8 -> 9 [size =\"15860736\"]\n  9 [size=\"60013227\", alpha=\"0.05\", expect_size=\"18003968\"] \n  9 -> 10 [size =\"18003968\"]\n  10 [size=\"18404693\", alpha=\"0.18\", expect_size=\"5521408\"] \n  10 -> 11 [size =\"5521408\"]\n  11 [size=\"68611413\", alpha=\"0.02\", expect_size=\"20583424\"] \n  11 -> 12 [size =\"20583424\"]\n  12 [size=\"121282560\", alpha=\"0.03\", expect_size=\"36384768\"] \n  12 -> 13 [size =\"36384768\"]\n  13 [size=\"53135360\", alpha=\"0.17\", expect_size=\"15940608\"] \n  13 -> 14 [size =\"15940608\"]\n  14 [size=\"121016320\", alpha=\"0.04\", expect_size=\"36304896\"] \n  14 -> 15 [size =\"36304896\"]\n  15 [size=\"75287893\", alpha=\"0.01\", expect_size=\"22586368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45861547\", alpha=\"0.18\", expect_size=\"13758464\"] \n  1 -> 2 [size =\"13758464\"]\n  2 [size=\"119674880\", alpha=\"0.01\", expect_size=\"35902464\"] \n  2 -> 3 [size =\"35902464\"]\n  3 [size=\"42332160\", alpha=\"0.10\", expect_size=\"12699648\"] \n  3 -> 4 [size =\"12699648\"]\n  4 [size=\"27429547\", alpha=\"0.03\", expect_size=\"8228864\"] \n  4 -> 5 [size =\"8228864\"]\n  5 [size=\"45895680\", alpha=\"0.09\", expect_size=\"13768704\"] \n  5 -> 6 [size =\"13768704\"]\n  6 [size=\"131444053\", alpha=\"0.05\", expect_size=\"39433216\"] \n  6 -> 7 [size =\"39433216\"]\n  7 [size=\"71328427\", alpha=\"0.20\", expect_size=\"21398528\"] \n  7 -> 8 [size =\"21398528\"]\n  8 [size=\"82466133\", alpha=\"0.09\", expect_size=\"24739840\"] \n  8 -> 9 [size =\"24739840\"]\n  9 [size=\"58757120\", alpha=\"0.04\", expect_size=\"17627136\"] \n  9 -> 10 [size =\"17627136\"]\n  10 [size=\"172250453\", alpha=\"0.09\", expect_size=\"51675136\"] \n  10 -> 11 [size =\"51675136\"]\n  11 [size=\"129006933\", alpha=\"0.06\", expect_size=\"38702080\"] \n  11 -> 12 [size =\"38702080\"]\n  12 [size=\"112967680\", alpha=\"0.17\", expect_size=\"33890304\"] \n  12 -> 13 [size =\"33890304\"]\n  13 [size=\"117384533\", alpha=\"0.17\", expect_size=\"35215360\"] \n  13 -> 14 [size =\"35215360\"]\n  14 [size=\"42089813\", alpha=\"0.17\", expect_size=\"12626944\"] \n  14 -> 15 [size =\"12626944\"]\n  15 [size=\"62115840\", alpha=\"0.14\", expect_size=\"18634752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45306880\", alpha=\"0.18\", expect_size=\"18122752\"] \n  1 -> 7 [size =\"18122752\"]\n  1 -> 10 [size =\"18122752\"]\n  2 [size=\"77760000\", alpha=\"0.13\", expect_size=\"31104000\"] \n  2 -> 7 [size =\"31104000\"]\n  2 -> 8 [size =\"31104000\"]\n  2 -> 10 [size =\"31104000\"]\n  3 [size=\"44503040\", alpha=\"0.11\", expect_size=\"17801216\"] \n  3 -> 7 [size =\"17801216\"]\n  4 [size=\"56340480\", alpha=\"0.06\", expect_size=\"22536192\"] \n  4 -> 7 [size =\"22536192\"]\n  4 -> 8 [size =\"22536192\"]\n  4 -> 10 [size =\"22536192\"]\n  5 [size=\"89835520\", alpha=\"0.18\", expect_size=\"35934208\"] \n  5 -> 9 [size =\"35934208\"]\n  6 [size=\"63357440\", alpha=\"0.15\", expect_size=\"25342976\"] \n  6 -> 8 [size =\"25342976\"]\n  7 [size=\"82094080\", alpha=\"0.14\", expect_size=\"32837632\"] \n  7 -> 12 [size =\"32837632\"]\n  7 -> 14 [size =\"32837632\"]\n  7 -> 15 [size =\"32837632\"]\n  8 [size=\"17264640\", alpha=\"0.03\", expect_size=\"6905856\"] \n  8 -> 12 [size =\"6905856\"]\n  8 -> 14 [size =\"6905856\"]\n  9 [size=\"107911680\", alpha=\"0.04\", expect_size=\"43164672\"] \n  9 -> 11 [size =\"43164672\"]\n  10 [size=\"96099840\", alpha=\"0.05\", expect_size=\"38439936\"] \n  10 -> 13 [size =\"38439936\"]\n  11 [size=\"30504960\", alpha=\"0.01\", expect_size=\"12201984\"] \n  12 [size=\"21455360\", alpha=\"0.03\", expect_size=\"8582144\"] \n  13 [size=\"100311040\", alpha=\"0.05\", expect_size=\"40124416\"] \n  14 [size=\"49984000\", alpha=\"0.01\", expect_size=\"19993600\"] \n  15 [size=\"87621120\", alpha=\"0.02\", expect_size=\"35048448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77122560\", alpha=\"0.03\", expect_size=\"30849024\"] \n  1 -> 15 [size =\"30849024\"]\n  2 [size=\"55247360\", alpha=\"0.14\", expect_size=\"22098944\"] \n  2 -> 14 [size =\"22098944\"]\n  2 -> 15 [size =\"22098944\"]\n  3 [size=\"103987200\", alpha=\"0.12\", expect_size=\"41594880\"] \n  3 -> 15 [size =\"41594880\"]\n  4 [size=\"117693440\", alpha=\"0.07\", expect_size=\"47077376\"] \n  4 -> 15 [size =\"47077376\"]\n  5 [size=\"47301120\", alpha=\"0.08\", expect_size=\"18920448\"] \n  5 -> 14 [size =\"18920448\"]\n  5 -> 15 [size =\"18920448\"]\n  6 [size=\"59934720\", alpha=\"0.14\", expect_size=\"23973888\"] \n  6 -> 15 [size =\"23973888\"]\n  7 [size=\"55831040\", alpha=\"0.10\", expect_size=\"22332416\"] \n  7 -> 15 [size =\"22332416\"]\n  8 [size=\"63024640\", alpha=\"0.16\", expect_size=\"25209856\"] \n  9 [size=\"19809280\", alpha=\"0.05\", expect_size=\"7923712\"] \n  10 [size=\"48051200\", alpha=\"0.02\", expect_size=\"19220480\"] \n  10 -> 15 [size =\"19220480\"]\n  11 [size=\"35220480\", alpha=\"0.10\", expect_size=\"14088192\"] \n  11 -> 15 [size =\"14088192\"]\n  12 [size=\"52352000\", alpha=\"0.15\", expect_size=\"20940800\"] \n  12 -> 15 [size =\"20940800\"]\n  13 [size=\"16857600\", alpha=\"0.04\", expect_size=\"6743040\"] \n  13 -> 15 [size =\"6743040\"]\n  14 [size=\"87841280\", alpha=\"0.17\", expect_size=\"35136512\"] \n  15 [size=\"13488640\", alpha=\"0.08\", expect_size=\"5395456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31147520\", alpha=\"0.01\", expect_size=\"12459008\"] \n  1 -> 2 [size =\"12459008\"]\n  2 [size=\"40179200\", alpha=\"0.02\", expect_size=\"16071680\"] \n  2 -> 3 [size =\"16071680\"]\n  3 [size=\"97804800\", alpha=\"0.03\", expect_size=\"39121920\"] \n  3 -> 4 [size =\"39121920\"]\n  4 [size=\"103918080\", alpha=\"0.13\", expect_size=\"41567232\"] \n  4 -> 5 [size =\"41567232\"]\n  5 [size=\"86881280\", alpha=\"0.09\", expect_size=\"34752512\"] \n  5 -> 6 [size =\"34752512\"]\n  6 [size=\"79997440\", alpha=\"0.19\", expect_size=\"31998976\"] \n  6 -> 7 [size =\"31998976\"]\n  7 [size=\"88266240\", alpha=\"0.19\", expect_size=\"35306496\"] \n  7 -> 8 [size =\"35306496\"]\n  8 [size=\"96125440\", alpha=\"0.12\", expect_size=\"38450176\"] \n  8 -> 9 [size =\"38450176\"]\n  9 [size=\"16706560\", alpha=\"0.16\", expect_size=\"6682624\"] \n  9 -> 10 [size =\"6682624\"]\n  10 [size=\"76556800\", alpha=\"0.14\", expect_size=\"30622720\"] \n  10 -> 11 [size =\"30622720\"]\n  11 [size=\"42124800\", alpha=\"0.08\", expect_size=\"16849920\"] \n  11 -> 12 [size =\"16849920\"]\n  12 [size=\"47114240\", alpha=\"0.05\", expect_size=\"18845696\"] \n  12 -> 13 [size =\"18845696\"]\n  13 [size=\"57610240\", alpha=\"0.06\", expect_size=\"23044096\"] \n  13 -> 14 [size =\"23044096\"]\n  14 [size=\"73904640\", alpha=\"0.08\", expect_size=\"29561856\"] \n  14 -> 15 [size =\"29561856\"]\n  15 [size=\"33666560\", alpha=\"0.01\", expect_size=\"13466624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29156693\", alpha=\"0.01\", expect_size=\"8747008\"] \n  1 -> 2 [size =\"8747008\"]\n  2 [size=\"36126720\", alpha=\"0.15\", expect_size=\"10838016\"] \n  2 -> 3 [size =\"10838016\"]\n  3 [size=\"147991893\", alpha=\"0.08\", expect_size=\"44397568\"] \n  3 -> 4 [size =\"44397568\"]\n  4 [size=\"132788907\", alpha=\"0.02\", expect_size=\"39836672\"] \n  4 -> 5 [size =\"39836672\"]\n  5 [size=\"20862293\", alpha=\"0.11\", expect_size=\"6258688\"] \n  5 -> 6 [size =\"6258688\"]\n  6 [size=\"65508693\", alpha=\"0.09\", expect_size=\"19652608\"] \n  6 -> 7 [size =\"19652608\"]\n  7 [size=\"171953493\", alpha=\"0.16\", expect_size=\"51586048\"] \n  7 -> 8 [size =\"51586048\"]\n  8 [size=\"173516800\", alpha=\"0.10\", expect_size=\"52055040\"] \n  8 -> 9 [size =\"52055040\"]\n  9 [size=\"85405013\", alpha=\"0.05\", expect_size=\"25621504\"] \n  9 -> 10 [size =\"25621504\"]\n  10 [size=\"137881600\", alpha=\"0.05\", expect_size=\"41364480\"] \n  10 -> 11 [size =\"41364480\"]\n  11 [size=\"89808213\", alpha=\"0.16\", expect_size=\"26942464\"] \n  11 -> 12 [size =\"26942464\"]\n  12 [size=\"101522773\", alpha=\"0.20\", expect_size=\"30456832\"] \n  12 -> 13 [size =\"30456832\"]\n  13 [size=\"60327253\", alpha=\"0.09\", expect_size=\"18098176\"] \n  13 -> 14 [size =\"18098176\"]\n  14 [size=\"120978773\", alpha=\"0.20\", expect_size=\"36293632\"] \n  14 -> 15 [size =\"36293632\"]\n  15 [size=\"134294187\", alpha=\"0.07\", expect_size=\"40288256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58698240\", alpha=\"0.12\", expect_size=\"23479296\"] \n  1 -> 9 [size =\"23479296\"]\n  1 -> 10 [size =\"23479296\"]\n  1 -> 12 [size =\"23479296\"]\n  2 [size=\"59345920\", alpha=\"0.18\", expect_size=\"23738368\"] \n  2 -> 11 [size =\"23738368\"]\n  2 -> 12 [size =\"23738368\"]\n  3 [size=\"31976960\", alpha=\"0.05\", expect_size=\"12790784\"] \n  3 -> 11 [size =\"12790784\"]\n  3 -> 12 [size =\"12790784\"]\n  4 [size=\"69585920\", alpha=\"0.14\", expect_size=\"27834368\"] \n  4 -> 9 [size =\"27834368\"]\n  4 -> 11 [size =\"27834368\"]\n  4 -> 15 [size =\"27834368\"]\n  5 [size=\"31682560\", alpha=\"0.06\", expect_size=\"12673024\"] \n  5 -> 9 [size =\"12673024\"]\n  5 -> 11 [size =\"12673024\"]\n  5 -> 13 [size =\"12673024\"]\n  5 -> 14 [size =\"12673024\"]\n  5 -> 15 [size =\"12673024\"]\n  6 [size=\"87091200\", alpha=\"0.06\", expect_size=\"34836480\"] \n  6 -> 12 [size =\"34836480\"]\n  6 -> 13 [size =\"34836480\"]\n  6 -> 15 [size =\"34836480\"]\n  7 [size=\"15680000\", alpha=\"0.05\", expect_size=\"6272000\"] \n  7 -> 9 [size =\"6272000\"]\n  7 -> 12 [size =\"6272000\"]\n  7 -> 13 [size =\"6272000\"]\n  8 [size=\"55900160\", alpha=\"0.09\", expect_size=\"22360064\"] \n  8 -> 11 [size =\"22360064\"]\n  8 -> 12 [size =\"22360064\"]\n  9 [size=\"120975360\", alpha=\"0.04\", expect_size=\"48390144\"] \n  10 [size=\"50677760\", alpha=\"0.06\", expect_size=\"20271104\"] \n  11 [size=\"50644480\", alpha=\"0.07\", expect_size=\"20257792\"] \n  12 [size=\"120099840\", alpha=\"0.07\", expect_size=\"48039936\"] \n  13 [size=\"110476800\", alpha=\"0.13\", expect_size=\"44190720\"] \n  14 [size=\"22238720\", alpha=\"0.15\", expect_size=\"8895488\"] \n  15 [size=\"104435200\", alpha=\"0.13\", expect_size=\"41774080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162396160\", alpha=\"0.12\", expect_size=\"48718848\"] \n  1 -> 3 [size =\"48718848\"]\n  1 -> 4 [size =\"48718848\"]\n  2 [size=\"88531627\", alpha=\"0.05\", expect_size=\"26559488\"] \n  2 -> 3 [size =\"26559488\"]\n  2 -> 4 [size =\"26559488\"]\n  3 [size=\"61767680\", alpha=\"0.02\", expect_size=\"18530304\"] \n  3 -> 6 [size =\"18530304\"]\n  3 -> 7 [size =\"18530304\"]\n  4 [size=\"108448427\", alpha=\"0.05\", expect_size=\"32534528\"] \n  4 -> 5 [size =\"32534528\"]\n  4 -> 6 [size =\"32534528\"]\n  4 -> 7 [size =\"32534528\"]\n  5 [size=\"84142080\", alpha=\"0.02\", expect_size=\"25242624\"] \n  5 -> 8 [size =\"25242624\"]\n  5 -> 9 [size =\"25242624\"]\n  6 [size=\"169226240\", alpha=\"0.16\", expect_size=\"50767872\"] \n  6 -> 8 [size =\"50767872\"]\n  6 -> 9 [size =\"50767872\"]\n  6 -> 10 [size =\"50767872\"]\n  7 [size=\"91323733\", alpha=\"0.12\", expect_size=\"27397120\"] \n  7 -> 8 [size =\"27397120\"]\n  7 -> 9 [size =\"27397120\"]\n  8 [size=\"150367573\", alpha=\"0.16\", expect_size=\"45110272\"] \n  8 -> 11 [size =\"45110272\"]\n  8 -> 12 [size =\"45110272\"]\n  8 -> 13 [size =\"45110272\"]\n  9 [size=\"122897067\", alpha=\"0.02\", expect_size=\"36869120\"] \n  9 -> 11 [size =\"36869120\"]\n  9 -> 12 [size =\"36869120\"]\n  9 -> 13 [size =\"36869120\"]\n  10 [size=\"91805013\", alpha=\"0.13\", expect_size=\"27541504\"] \n  10 -> 11 [size =\"27541504\"]\n  10 -> 12 [size =\"27541504\"]\n  10 -> 13 [size =\"27541504\"]\n  11 [size=\"115780267\", alpha=\"0.09\", expect_size=\"34734080\"] \n  11 -> 14 [size =\"34734080\"]\n  12 [size=\"52377600\", alpha=\"0.15\", expect_size=\"15713280\"] \n  13 [size=\"94211413\", alpha=\"0.08\", expect_size=\"28263424\"] \n  13 -> 15 [size =\"28263424\"]\n  14 [size=\"106987520\", alpha=\"0.12\", expect_size=\"32096256\"] \n  15 [size=\"143319040\", alpha=\"0.04\", expect_size=\"42995712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58763264\", alpha=\"0.06\", expect_size=\"29381632\"] \n  1 -> 2 [size =\"29381632\"]\n  2 [size=\"88584192\", alpha=\"0.15\", expect_size=\"44292096\"] \n  2 -> 3 [size =\"44292096\"]\n  3 [size=\"19410944\", alpha=\"0.02\", expect_size=\"9705472\"] \n  3 -> 4 [size =\"9705472\"]\n  4 [size=\"53411840\", alpha=\"0.11\", expect_size=\"26705920\"] \n  4 -> 5 [size =\"26705920\"]\n  5 [size=\"82948096\", alpha=\"0.09\", expect_size=\"41474048\"] \n  5 -> 6 [size =\"41474048\"]\n  6 [size=\"99299328\", alpha=\"0.12\", expect_size=\"49649664\"] \n  6 -> 7 [size =\"49649664\"]\n  7 [size=\"44163072\", alpha=\"0.01\", expect_size=\"22081536\"] \n  7 -> 8 [size =\"22081536\"]\n  8 [size=\"101136384\", alpha=\"0.18\", expect_size=\"50568192\"] \n  8 -> 9 [size =\"50568192\"]\n  9 [size=\"27453440\", alpha=\"0.15\", expect_size=\"13726720\"] \n  9 -> 10 [size =\"13726720\"]\n  10 [size=\"84371456\", alpha=\"0.10\", expect_size=\"42185728\"] \n  10 -> 11 [size =\"42185728\"]\n  11 [size=\"91928576\", alpha=\"0.12\", expect_size=\"45964288\"] \n  11 -> 12 [size =\"45964288\"]\n  12 [size=\"23773184\", alpha=\"0.11\", expect_size=\"11886592\"] \n  12 -> 13 [size =\"11886592\"]\n  13 [size=\"95021056\", alpha=\"0.06\", expect_size=\"47510528\"] \n  13 -> 14 [size =\"47510528\"]\n  14 [size=\"103071744\", alpha=\"0.02\", expect_size=\"51535872\"] \n  14 -> 15 [size =\"51535872\"]\n  15 [size=\"58286080\", alpha=\"0.15\", expect_size=\"29143040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157494613\", alpha=\"0.01\", expect_size=\"47248384\"] \n  1 -> 2 [size =\"47248384\"]\n  2 [size=\"162372267\", alpha=\"0.16\", expect_size=\"48711680\"] \n  2 -> 3 [size =\"48711680\"]\n  2 -> 4 [size =\"48711680\"]\n  3 [size=\"49295360\", alpha=\"0.18\", expect_size=\"14788608\"] \n  4 [size=\"125818880\", alpha=\"0.16\", expect_size=\"37745664\"] \n  4 -> 5 [size =\"37745664\"]\n  5 [size=\"158532267\", alpha=\"0.09\", expect_size=\"47559680\"] \n  5 -> 6 [size =\"47559680\"]\n  6 [size=\"117821440\", alpha=\"0.02\", expect_size=\"35346432\"] \n  6 -> 7 [size =\"35346432\"]\n  6 -> 8 [size =\"35346432\"]\n  7 [size=\"119398400\", alpha=\"0.11\", expect_size=\"35819520\"] \n  8 [size=\"43260587\", alpha=\"0.17\", expect_size=\"12978176\"] \n  8 -> 9 [size =\"12978176\"]\n  9 [size=\"128088747\", alpha=\"0.16\", expect_size=\"38426624\"] \n  9 -> 10 [size =\"38426624\"]\n  9 -> 11 [size =\"38426624\"]\n  10 [size=\"21637120\", alpha=\"0.03\", expect_size=\"6491136\"] \n  10 -> 12 [size =\"6491136\"]\n  11 [size=\"87507627\", alpha=\"0.19\", expect_size=\"26252288\"] \n  12 [size=\"95976107\", alpha=\"0.09\", expect_size=\"28792832\"] \n  12 -> 13 [size =\"28792832\"]\n  13 [size=\"63798613\", alpha=\"0.14\", expect_size=\"19139584\"] \n  13 -> 14 [size =\"19139584\"]\n  14 [size=\"46042453\", alpha=\"0.18\", expect_size=\"13812736\"] \n  14 -> 15 [size =\"13812736\"]\n  15 [size=\"173926400\", alpha=\"0.12\", expect_size=\"52177920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115019093\", alpha=\"0.03\", expect_size=\"34505728\"] \n  2 [size=\"171550720\", alpha=\"0.01\", expect_size=\"51465216\"] \n  2 -> 14 [size =\"51465216\"]\n  3 [size=\"164123307\", alpha=\"0.18\", expect_size=\"49236992\"] \n  3 -> 15 [size =\"49236992\"]\n  4 [size=\"133908480\", alpha=\"0.18\", expect_size=\"40172544\"] \n  4 -> 15 [size =\"40172544\"]\n  5 [size=\"101502293\", alpha=\"0.17\", expect_size=\"30450688\"] \n  5 -> 12 [size =\"30450688\"]\n  5 -> 15 [size =\"30450688\"]\n  6 [size=\"146537813\", alpha=\"0.02\", expect_size=\"43961344\"] \n  6 -> 15 [size =\"43961344\"]\n  7 [size=\"100491947\", alpha=\"0.12\", expect_size=\"30147584\"] \n  7 -> 13 [size =\"30147584\"]\n  8 [size=\"25439573\", alpha=\"0.04\", expect_size=\"7631872\"] \n  8 -> 15 [size =\"7631872\"]\n  9 [size=\"149992107\", alpha=\"0.10\", expect_size=\"44997632\"] \n  10 [size=\"128010240\", alpha=\"0.02\", expect_size=\"38403072\"] \n  11 [size=\"93692587\", alpha=\"0.12\", expect_size=\"28107776\"] \n  11 -> 14 [size =\"28107776\"]\n  12 [size=\"119517867\", alpha=\"0.04\", expect_size=\"35855360\"] \n  13 [size=\"127023787\", alpha=\"0.14\", expect_size=\"38107136\"] \n  14 [size=\"108694187\", alpha=\"0.07\", expect_size=\"32608256\"] \n  15 [size=\"96194560\", alpha=\"0.04\", expect_size=\"28858368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39724373\", alpha=\"0.03\", expect_size=\"11917312\"] \n  1 -> 4 [size =\"11917312\"]\n  2 [size=\"160058027\", alpha=\"0.00\", expect_size=\"48017408\"] \n  2 -> 4 [size =\"48017408\"]\n  2 -> 5 [size =\"48017408\"]\n  3 [size=\"100635307\", alpha=\"0.05\", expect_size=\"30190592\"] \n  3 -> 4 [size =\"30190592\"]\n  3 -> 5 [size =\"30190592\"]\n  4 [size=\"50868907\", alpha=\"0.10\", expect_size=\"15260672\"] \n  5 [size=\"81575253\", alpha=\"0.08\", expect_size=\"24472576\"] \n  5 -> 6 [size =\"24472576\"]\n  5 -> 7 [size =\"24472576\"]\n  6 [size=\"17530880\", alpha=\"0.17\", expect_size=\"5259264\"] \n  6 -> 9 [size =\"5259264\"]\n  7 [size=\"40451413\", alpha=\"0.09\", expect_size=\"12135424\"] \n  7 -> 8 [size =\"12135424\"]\n  7 -> 9 [size =\"12135424\"]\n  8 [size=\"127416320\", alpha=\"0.13\", expect_size=\"38224896\"] \n  8 -> 11 [size =\"38224896\"]\n  9 [size=\"100293973\", alpha=\"0.17\", expect_size=\"30088192\"] \n  9 -> 10 [size =\"30088192\"]\n  9 -> 11 [size =\"30088192\"]\n  10 [size=\"124139520\", alpha=\"0.06\", expect_size=\"37241856\"] \n  10 -> 12 [size =\"37241856\"]\n  10 -> 13 [size =\"37241856\"]\n  11 [size=\"95330987\", alpha=\"0.07\", expect_size=\"28599296\"] \n  11 -> 12 [size =\"28599296\"]\n  12 [size=\"117053440\", alpha=\"0.18\", expect_size=\"35116032\"] \n  12 -> 14 [size =\"35116032\"]\n  12 -> 15 [size =\"35116032\"]\n  13 [size=\"117541547\", alpha=\"0.09\", expect_size=\"35262464\"] \n  13 -> 14 [size =\"35262464\"]\n  13 -> 15 [size =\"35262464\"]\n  14 [size=\"159849813\", alpha=\"0.06\", expect_size=\"47954944\"] \n  15 [size=\"79076693\", alpha=\"0.10\", expect_size=\"23723008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19140608\", alpha=\"0.18\", expect_size=\"9570304\"] \n  1 -> 2 [size =\"9570304\"]\n  2 [size=\"60196864\", alpha=\"0.13\", expect_size=\"30098432\"] \n  2 -> 3 [size =\"30098432\"]\n  3 [size=\"34582528\", alpha=\"0.15\", expect_size=\"17291264\"] \n  3 -> 4 [size =\"17291264\"]\n  4 [size=\"58542080\", alpha=\"0.11\", expect_size=\"29271040\"] \n  4 -> 5 [size =\"29271040\"]\n  5 [size=\"15761408\", alpha=\"0.01\", expect_size=\"7880704\"] \n  5 -> 6 [size =\"7880704\"]\n  6 [size=\"51798016\", alpha=\"0.14\", expect_size=\"25899008\"] \n  6 -> 7 [size =\"25899008\"]\n  7 [size=\"25307136\", alpha=\"0.16\", expect_size=\"12653568\"] \n  7 -> 8 [size =\"12653568\"]\n  8 [size=\"73238528\", alpha=\"0.16\", expect_size=\"36619264\"] \n  8 -> 9 [size =\"36619264\"]\n  9 [size=\"21778432\", alpha=\"0.12\", expect_size=\"10889216\"] \n  9 -> 10 [size =\"10889216\"]\n  10 [size=\"25432064\", alpha=\"0.09\", expect_size=\"12716032\"] \n  10 -> 11 [size =\"12716032\"]\n  11 [size=\"91521024\", alpha=\"0.03\", expect_size=\"45760512\"] \n  11 -> 12 [size =\"45760512\"]\n  12 [size=\"83679232\", alpha=\"0.10\", expect_size=\"41839616\"] \n  12 -> 13 [size =\"41839616\"]\n  13 [size=\"51705856\", alpha=\"0.18\", expect_size=\"25852928\"] \n  13 -> 14 [size =\"25852928\"]\n  14 [size=\"28071936\", alpha=\"0.07\", expect_size=\"14035968\"] \n  14 -> 15 [size =\"14035968\"]\n  15 [size=\"78092288\", alpha=\"0.07\", expect_size=\"39046144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144452267\", alpha=\"0.08\", expect_size=\"43335680\"] \n  2 [size=\"144162133\", alpha=\"0.00\", expect_size=\"43248640\"] \n  2 -> 3 [size =\"43248640\"]\n  2 -> 4 [size =\"43248640\"]\n  3 [size=\"47022080\", alpha=\"0.18\", expect_size=\"14106624\"] \n  3 -> 5 [size =\"14106624\"]\n  4 [size=\"154688853\", alpha=\"0.07\", expect_size=\"46406656\"] \n  5 [size=\"21749760\", alpha=\"0.11\", expect_size=\"6524928\"] \n  5 -> 6 [size =\"6524928\"]\n  6 [size=\"141714773\", alpha=\"0.04\", expect_size=\"42514432\"] \n  6 -> 7 [size =\"42514432\"]\n  6 -> 8 [size =\"42514432\"]\n  7 [size=\"147920213\", alpha=\"0.10\", expect_size=\"44376064\"] \n  7 -> 9 [size =\"44376064\"]\n  8 [size=\"74997760\", alpha=\"0.08\", expect_size=\"22499328\"] \n  8 -> 9 [size =\"22499328\"]\n  8 -> 10 [size =\"22499328\"]\n  9 [size=\"127747413\", alpha=\"0.06\", expect_size=\"38324224\"] \n  9 -> 11 [size =\"38324224\"]\n  9 -> 12 [size =\"38324224\"]\n  10 [size=\"107048960\", alpha=\"0.11\", expect_size=\"32114688\"] \n  10 -> 11 [size =\"32114688\"]\n  10 -> 12 [size =\"32114688\"]\n  11 [size=\"53725867\", alpha=\"0.10\", expect_size=\"16117760\"] \n  12 [size=\"115981653\", alpha=\"0.02\", expect_size=\"34794496\"] \n  12 -> 13 [size =\"34794496\"]\n  13 [size=\"117568853\", alpha=\"0.04\", expect_size=\"35270656\"] \n  13 -> 14 [size =\"35270656\"]\n  13 -> 15 [size =\"35270656\"]\n  14 [size=\"100075520\", alpha=\"0.08\", expect_size=\"30022656\"] \n  15 [size=\"152040107\", alpha=\"0.07\", expect_size=\"45612032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58634240\", alpha=\"0.15\", expect_size=\"17590272\"] \n  1 -> 3 [size =\"17590272\"]\n  2 [size=\"171236693\", alpha=\"0.14\", expect_size=\"51371008\"] \n  2 -> 4 [size =\"51371008\"]\n  2 -> 5 [size =\"51371008\"]\n  3 [size=\"34645333\", alpha=\"0.10\", expect_size=\"10393600\"] \n  3 -> 6 [size =\"10393600\"]\n  3 -> 7 [size =\"10393600\"]\n  4 [size=\"34522453\", alpha=\"0.08\", expect_size=\"10356736\"] \n  5 [size=\"137062400\", alpha=\"0.19\", expect_size=\"41118720\"] \n  5 -> 7 [size =\"41118720\"]\n  6 [size=\"117722453\", alpha=\"0.06\", expect_size=\"35316736\"] \n  6 -> 9 [size =\"35316736\"]\n  6 -> 11 [size =\"35316736\"]\n  7 [size=\"135594667\", alpha=\"0.12\", expect_size=\"40678400\"] \n  7 -> 8 [size =\"40678400\"]\n  7 -> 10 [size =\"40678400\"]\n  8 [size=\"131095893\", alpha=\"0.12\", expect_size=\"39328768\"] \n  8 -> 13 [size =\"39328768\"]\n  9 [size=\"33191253\", alpha=\"0.07\", expect_size=\"9957376\"] \n  9 -> 12 [size =\"9957376\"]\n  9 -> 13 [size =\"9957376\"]\n  10 [size=\"102495573\", alpha=\"0.13\", expect_size=\"30748672\"] \n  11 [size=\"72608427\", alpha=\"0.09\", expect_size=\"21782528\"] \n  12 [size=\"36717227\", alpha=\"0.08\", expect_size=\"11015168\"] \n  12 -> 14 [size =\"11015168\"]\n  12 -> 15 [size =\"11015168\"]\n  13 [size=\"149862400\", alpha=\"0.03\", expect_size=\"44958720\"] \n  14 [size=\"70113280\", alpha=\"0.12\", expect_size=\"21033984\"] \n  15 [size=\"135676587\", alpha=\"0.03\", expect_size=\"40702976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129313280\", alpha=\"0.08\", expect_size=\"51725312\"] \n  1 -> 4 [size =\"51725312\"]\n  1 -> 5 [size =\"51725312\"]\n  1 -> 6 [size =\"51725312\"]\n  2 [size=\"89628160\", alpha=\"0.01\", expect_size=\"35851264\"] \n  2 -> 4 [size =\"35851264\"]\n  2 -> 5 [size =\"35851264\"]\n  2 -> 6 [size =\"35851264\"]\n  3 [size=\"61946880\", alpha=\"0.20\", expect_size=\"24778752\"] \n  3 -> 4 [size =\"24778752\"]\n  3 -> 5 [size =\"24778752\"]\n  3 -> 6 [size =\"24778752\"]\n  4 [size=\"75686400\", alpha=\"0.19\", expect_size=\"30274560\"] \n  4 -> 7 [size =\"30274560\"]\n  4 -> 8 [size =\"30274560\"]\n  4 -> 9 [size =\"30274560\"]\n  5 [size=\"30855680\", alpha=\"0.13\", expect_size=\"12342272\"] \n  5 -> 7 [size =\"12342272\"]\n  6 [size=\"101652480\", alpha=\"0.11\", expect_size=\"40660992\"] \n  7 [size=\"97600000\", alpha=\"0.11\", expect_size=\"39040000\"] \n  7 -> 10 [size =\"39040000\"]\n  7 -> 11 [size =\"39040000\"]\n  8 [size=\"27389440\", alpha=\"0.05\", expect_size=\"10955776\"] \n  8 -> 10 [size =\"10955776\"]\n  8 -> 11 [size =\"10955776\"]\n  8 -> 12 [size =\"10955776\"]\n  9 [size=\"53401600\", alpha=\"0.17\", expect_size=\"21360640\"] \n  9 -> 10 [size =\"21360640\"]\n  9 -> 11 [size =\"21360640\"]\n  9 -> 12 [size =\"21360640\"]\n  10 [size=\"118074880\", alpha=\"0.20\", expect_size=\"47229952\"] \n  10 -> 13 [size =\"47229952\"]\n  10 -> 14 [size =\"47229952\"]\n  11 [size=\"89108480\", alpha=\"0.18\", expect_size=\"35643392\"] \n  11 -> 13 [size =\"35643392\"]\n  12 [size=\"16701440\", alpha=\"0.07\", expect_size=\"6680576\"] \n  12 -> 13 [size =\"6680576\"]\n  12 -> 14 [size =\"6680576\"]\n  13 [size=\"22277120\", alpha=\"0.04\", expect_size=\"8910848\"] \n  13 -> 15 [size =\"8910848\"]\n  14 [size=\"20044800\", alpha=\"0.00\", expect_size=\"8017920\"] \n  14 -> 15 [size =\"8017920\"]\n  15 [size=\"14292480\", alpha=\"0.08\", expect_size=\"5716992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89612800\", alpha=\"0.00\", expect_size=\"35845120\"] \n  1 -> 11 [size =\"35845120\"]\n  1 -> 12 [size =\"35845120\"]\n  2 [size=\"35530240\", alpha=\"0.20\", expect_size=\"14212096\"] \n  2 -> 11 [size =\"14212096\"]\n  2 -> 12 [size =\"14212096\"]\n  2 -> 15 [size =\"14212096\"]\n  3 [size=\"70904320\", alpha=\"0.10\", expect_size=\"28361728\"] \n  3 -> 11 [size =\"28361728\"]\n  3 -> 12 [size =\"28361728\"]\n  3 -> 14 [size =\"28361728\"]\n  3 -> 15 [size =\"28361728\"]\n  4 [size=\"55861760\", alpha=\"0.19\", expect_size=\"22344704\"] \n  4 -> 11 [size =\"22344704\"]\n  4 -> 15 [size =\"22344704\"]\n  5 [size=\"66670080\", alpha=\"0.13\", expect_size=\"26668032\"] \n  6 [size=\"127255040\", alpha=\"0.04\", expect_size=\"50902016\"] \n  6 -> 12 [size =\"50902016\"]\n  6 -> 13 [size =\"50902016\"]\n  6 -> 14 [size =\"50902016\"]\n  7 [size=\"43371520\", alpha=\"0.12\", expect_size=\"17348608\"] \n  7 -> 11 [size =\"17348608\"]\n  7 -> 12 [size =\"17348608\"]\n  7 -> 14 [size =\"17348608\"]\n  7 -> 15 [size =\"17348608\"]\n  8 [size=\"103677440\", alpha=\"0.10\", expect_size=\"41470976\"] \n  8 -> 12 [size =\"41470976\"]\n  8 -> 12 [size =\"41470976\"]\n  9 [size=\"124820480\", alpha=\"0.19\", expect_size=\"49928192\"] \n  10 [size=\"54272000\", alpha=\"0.03\", expect_size=\"21708800\"] \n  10 -> 14 [size =\"21708800\"]\n  11 [size=\"103068160\", alpha=\"0.07\", expect_size=\"41227264\"] \n  12 [size=\"103744000\", alpha=\"0.11\", expect_size=\"41497600\"] \n  13 [size=\"103672320\", alpha=\"0.07\", expect_size=\"41468928\"] \n  14 [size=\"42306560\", alpha=\"0.01\", expect_size=\"16922624\"] \n  15 [size=\"35261440\", alpha=\"0.10\", expect_size=\"14104576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34875392\", alpha=\"0.18\", expect_size=\"17437696\"] \n  2 [size=\"70635520\", alpha=\"0.12\", expect_size=\"35317760\"] \n  3 [size=\"67850240\", alpha=\"0.00\", expect_size=\"33925120\"] \n  4 [size=\"28854272\", alpha=\"0.11\", expect_size=\"14427136\"] \n  5 [size=\"52711424\", alpha=\"0.11\", expect_size=\"26355712\"] \n  5 -> 14 [size =\"26355712\"]\n  6 [size=\"58470400\", alpha=\"0.01\", expect_size=\"29235200\"] \n  7 [size=\"49747968\", alpha=\"0.11\", expect_size=\"24873984\"] \n  7 -> 15 [size =\"24873984\"]\n  8 [size=\"13094912\", alpha=\"0.09\", expect_size=\"6547456\"] \n  8 -> 14 [size =\"6547456\"]\n  9 [size=\"94240768\", alpha=\"0.03\", expect_size=\"47120384\"] \n  9 -> 15 [size =\"47120384\"]\n  10 [size=\"10625024\", alpha=\"0.01\", expect_size=\"5312512\"] \n  11 [size=\"80863232\", alpha=\"0.08\", expect_size=\"40431616\"] \n  11 -> 15 [size =\"40431616\"]\n  12 [size=\"69435392\", alpha=\"0.07\", expect_size=\"34717696\"] \n  12 -> 14 [size =\"34717696\"]\n  13 [size=\"31246336\", alpha=\"0.06\", expect_size=\"15623168\"] \n  14 [size=\"31766528\", alpha=\"0.17\", expect_size=\"15883264\"] \n  15 [size=\"83820544\", alpha=\"0.04\", expect_size=\"41910272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104519680\", alpha=\"0.02\", expect_size=\"52259840\"] \n  1 -> 10 [size =\"52259840\"]\n  2 [size=\"24954880\", alpha=\"0.04\", expect_size=\"12477440\"] \n  2 -> 9 [size =\"12477440\"]\n  3 [size=\"25513984\", alpha=\"0.10\", expect_size=\"12756992\"] \n  4 [size=\"41148416\", alpha=\"0.09\", expect_size=\"20574208\"] \n  4 -> 10 [size =\"20574208\"]\n  5 [size=\"38037504\", alpha=\"0.01\", expect_size=\"19018752\"] \n  5 -> 7 [size =\"19018752\"]\n  5 -> 9 [size =\"19018752\"]\n  5 -> 10 [size =\"19018752\"]\n  6 [size=\"40148992\", alpha=\"0.01\", expect_size=\"20074496\"] \n  6 -> 8 [size =\"20074496\"]\n  7 [size=\"65361920\", alpha=\"0.15\", expect_size=\"32680960\"] \n  7 -> 11 [size =\"32680960\"]\n  7 -> 14 [size =\"32680960\"]\n  7 -> 15 [size =\"32680960\"]\n  8 [size=\"19959808\", alpha=\"0.16\", expect_size=\"9979904\"] \n  8 -> 12 [size =\"9979904\"]\n  8 -> 13 [size =\"9979904\"]\n  8 -> 14 [size =\"9979904\"]\n  9 [size=\"86147072\", alpha=\"0.03\", expect_size=\"43073536\"] \n  9 -> 12 [size =\"43073536\"]\n  10 [size=\"62062592\", alpha=\"0.04\", expect_size=\"31031296\"] \n  10 -> 15 [size =\"31031296\"]\n  11 [size=\"49342464\", alpha=\"0.09\", expect_size=\"24671232\"] \n  12 [size=\"56948736\", alpha=\"0.13\", expect_size=\"28474368\"] \n  13 [size=\"77760512\", alpha=\"0.03\", expect_size=\"38880256\"] \n  14 [size=\"32481280\", alpha=\"0.16\", expect_size=\"16240640\"] \n  15 [size=\"73295872\", alpha=\"0.04\", expect_size=\"36647936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90600107\", alpha=\"0.12\", expect_size=\"27180032\"] \n  2 [size=\"19933867\", alpha=\"0.05\", expect_size=\"5980160\"] \n  3 [size=\"147036160\", alpha=\"0.01\", expect_size=\"44110848\"] \n  4 [size=\"148787200\", alpha=\"0.15\", expect_size=\"44636160\"] \n  4 -> 15 [size =\"44636160\"]\n  5 [size=\"159815680\", alpha=\"0.15\", expect_size=\"47944704\"] \n  6 [size=\"104741547\", alpha=\"0.03\", expect_size=\"31422464\"] \n  7 [size=\"47769600\", alpha=\"0.07\", expect_size=\"14330880\"] \n  8 [size=\"174237013\", alpha=\"0.17\", expect_size=\"52271104\"] \n  8 -> 15 [size =\"52271104\"]\n  9 [size=\"128843093\", alpha=\"0.20\", expect_size=\"38652928\"] \n  10 [size=\"133034667\", alpha=\"0.17\", expect_size=\"39910400\"] \n  11 [size=\"116094293\", alpha=\"0.09\", expect_size=\"34828288\"] \n  12 [size=\"54753280\", alpha=\"0.07\", expect_size=\"16425984\"] \n  12 -> 15 [size =\"16425984\"]\n  13 [size=\"97150293\", alpha=\"0.03\", expect_size=\"29145088\"] \n  14 [size=\"102894933\", alpha=\"0.05\", expect_size=\"30868480\"] \n  15 [size=\"63682560\", alpha=\"0.09\", expect_size=\"19104768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107373227\", alpha=\"0.10\", expect_size=\"32211968\"] \n  2 [size=\"89610240\", alpha=\"0.07\", expect_size=\"26883072\"] \n  2 -> 14 [size =\"26883072\"]\n  3 [size=\"86053547\", alpha=\"0.11\", expect_size=\"25816064\"] \n  4 [size=\"42622293\", alpha=\"0.07\", expect_size=\"12786688\"] \n  5 [size=\"157347840\", alpha=\"0.12\", expect_size=\"47204352\"] \n  5 -> 12 [size =\"47204352\"]\n  6 [size=\"109376853\", alpha=\"0.10\", expect_size=\"32813056\"] \n  7 [size=\"70645760\", alpha=\"0.05\", expect_size=\"21193728\"] \n  8 [size=\"55128747\", alpha=\"0.06\", expect_size=\"16538624\"] \n  8 -> 13 [size =\"16538624\"]\n  8 -> 15 [size =\"16538624\"]\n  9 [size=\"37577387\", alpha=\"0.04\", expect_size=\"11273216\"] \n  10 [size=\"74465280\", alpha=\"0.15\", expect_size=\"22339584\"] \n  11 [size=\"108793173\", alpha=\"0.10\", expect_size=\"32637952\"] \n  11 -> 15 [size =\"32637952\"]\n  12 [size=\"26682027\", alpha=\"0.02\", expect_size=\"8004608\"] \n  13 [size=\"83261440\", alpha=\"0.12\", expect_size=\"24978432\"] \n  14 [size=\"170693973\", alpha=\"0.01\", expect_size=\"51208192\"] \n  15 [size=\"69259947\", alpha=\"0.03\", expect_size=\"20777984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17479680\", alpha=\"0.02\", expect_size=\"6991872\"] \n  1 -> 2 [size =\"6991872\"]\n  2 [size=\"67228160\", alpha=\"0.10\", expect_size=\"26891264\"] \n  2 -> 3 [size =\"26891264\"]\n  3 [size=\"59048960\", alpha=\"0.10\", expect_size=\"23619584\"] \n  3 -> 4 [size =\"23619584\"]\n  4 [size=\"126051840\", alpha=\"0.11\", expect_size=\"50420736\"] \n  4 -> 5 [size =\"50420736\"]\n  5 [size=\"66247680\", alpha=\"0.20\", expect_size=\"26499072\"] \n  5 -> 6 [size =\"26499072\"]\n  6 [size=\"97326080\", alpha=\"0.11\", expect_size=\"38930432\"] \n  6 -> 7 [size =\"38930432\"]\n  7 [size=\"59064320\", alpha=\"0.08\", expect_size=\"23625728\"] \n  7 -> 8 [size =\"23625728\"]\n  8 [size=\"106152960\", alpha=\"0.07\", expect_size=\"42461184\"] \n  8 -> 9 [size =\"42461184\"]\n  9 [size=\"52597760\", alpha=\"0.18\", expect_size=\"21039104\"] \n  9 -> 10 [size =\"21039104\"]\n  10 [size=\"50577920\", alpha=\"0.17\", expect_size=\"20231168\"] \n  10 -> 11 [size =\"20231168\"]\n  11 [size=\"94451200\", alpha=\"0.17\", expect_size=\"37780480\"] \n  11 -> 12 [size =\"37780480\"]\n  12 [size=\"107722240\", alpha=\"0.13\", expect_size=\"43088896\"] \n  12 -> 13 [size =\"43088896\"]\n  13 [size=\"46704640\", alpha=\"0.06\", expect_size=\"18681856\"] \n  13 -> 14 [size =\"18681856\"]\n  14 [size=\"103546880\", alpha=\"0.11\", expect_size=\"41418752\"] \n  14 -> 15 [size =\"41418752\"]\n  15 [size=\"50206720\", alpha=\"0.08\", expect_size=\"20082688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117278720\", alpha=\"0.14\", expect_size=\"46911488\"] \n  1 -> 2 [size =\"46911488\"]\n  2 [size=\"100477440\", alpha=\"0.06\", expect_size=\"40190976\"] \n  2 -> 3 [size =\"40190976\"]\n  3 [size=\"85903360\", alpha=\"0.20\", expect_size=\"34361344\"] \n  3 -> 4 [size =\"34361344\"]\n  4 [size=\"117921280\", alpha=\"0.18\", expect_size=\"47168512\"] \n  4 -> 5 [size =\"47168512\"]\n  5 [size=\"42296320\", alpha=\"0.15\", expect_size=\"16918528\"] \n  5 -> 6 [size =\"16918528\"]\n  6 [size=\"36183040\", alpha=\"0.09\", expect_size=\"14473216\"] \n  6 -> 7 [size =\"14473216\"]\n  7 [size=\"82096640\", alpha=\"0.01\", expect_size=\"32838656\"] \n  7 -> 8 [size =\"32838656\"]\n  8 [size=\"115827200\", alpha=\"0.14\", expect_size=\"46330880\"] \n  8 -> 9 [size =\"46330880\"]\n  9 [size=\"29964800\", alpha=\"0.16\", expect_size=\"11985920\"] \n  9 -> 10 [size =\"11985920\"]\n  10 [size=\"104921600\", alpha=\"0.19\", expect_size=\"41968640\"] \n  10 -> 11 [size =\"41968640\"]\n  11 [size=\"86548480\", alpha=\"0.04\", expect_size=\"34619392\"] \n  11 -> 12 [size =\"34619392\"]\n  12 [size=\"48404480\", alpha=\"0.03\", expect_size=\"19361792\"] \n  12 -> 13 [size =\"19361792\"]\n  13 [size=\"81505280\", alpha=\"0.12\", expect_size=\"32602112\"] \n  13 -> 14 [size =\"32602112\"]\n  14 [size=\"78730240\", alpha=\"0.06\", expect_size=\"31492096\"] \n  14 -> 15 [size =\"31492096\"]\n  15 [size=\"66813440\", alpha=\"0.11\", expect_size=\"26725376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113111040\", alpha=\"0.01\", expect_size=\"45244416\"] \n  2 [size=\"87109120\", alpha=\"0.17\", expect_size=\"34843648\"] \n  2 -> 4 [size =\"34843648\"]\n  2 -> 5 [size =\"34843648\"]\n  3 [size=\"107550720\", alpha=\"0.04\", expect_size=\"43020288\"] \n  3 -> 4 [size =\"43020288\"]\n  3 -> 5 [size =\"43020288\"]\n  4 [size=\"14917120\", alpha=\"0.19\", expect_size=\"5966848\"] \n  4 -> 6 [size =\"5966848\"]\n  4 -> 7 [size =\"5966848\"]\n  4 -> 8 [size =\"5966848\"]\n  5 [size=\"121459200\", alpha=\"0.16\", expect_size=\"48583680\"] \n  5 -> 6 [size =\"48583680\"]\n  5 -> 7 [size =\"48583680\"]\n  5 -> 8 [size =\"48583680\"]\n  6 [size=\"115763200\", alpha=\"0.10\", expect_size=\"46305280\"] \n  7 [size=\"69278720\", alpha=\"0.19\", expect_size=\"27711488\"] \n  7 -> 9 [size =\"27711488\"]\n  7 -> 11 [size =\"27711488\"]\n  8 [size=\"66931200\", alpha=\"0.14\", expect_size=\"26772480\"] \n  8 -> 9 [size =\"26772480\"]\n  8 -> 10 [size =\"26772480\"]\n  9 [size=\"34467840\", alpha=\"0.03\", expect_size=\"13787136\"] \n  9 -> 13 [size =\"13787136\"]\n  10 [size=\"14041600\", alpha=\"0.12\", expect_size=\"5616640\"] \n  10 -> 12 [size =\"5616640\"]\n  11 [size=\"67397120\", alpha=\"0.15\", expect_size=\"26958848\"] \n  11 -> 12 [size =\"26958848\"]\n  11 -> 13 [size =\"26958848\"]\n  12 [size=\"75540480\", alpha=\"0.01\", expect_size=\"30216192\"] \n  12 -> 15 [size =\"30216192\"]\n  13 [size=\"59806720\", alpha=\"0.00\", expect_size=\"23922688\"] \n  13 -> 14 [size =\"23922688\"]\n  14 [size=\"82040320\", alpha=\"0.01\", expect_size=\"32816128\"] \n  15 [size=\"76318720\", alpha=\"0.16\", expect_size=\"30527488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72978432\", alpha=\"0.19\", expect_size=\"36489216\"] \n  1 -> 2 [size =\"36489216\"]\n  2 [size=\"79030272\", alpha=\"0.02\", expect_size=\"39515136\"] \n  2 -> 3 [size =\"39515136\"]\n  3 [size=\"67407872\", alpha=\"0.03\", expect_size=\"33703936\"] \n  3 -> 4 [size =\"33703936\"]\n  4 [size=\"60837888\", alpha=\"0.14\", expect_size=\"30418944\"] \n  4 -> 5 [size =\"30418944\"]\n  5 [size=\"84215808\", alpha=\"0.18\", expect_size=\"42107904\"] \n  5 -> 6 [size =\"42107904\"]\n  6 [size=\"38942720\", alpha=\"0.01\", expect_size=\"19471360\"] \n  6 -> 7 [size =\"19471360\"]\n  7 [size=\"70965248\", alpha=\"0.19\", expect_size=\"35482624\"] \n  7 -> 8 [size =\"35482624\"]\n  8 [size=\"48658432\", alpha=\"0.08\", expect_size=\"24329216\"] \n  8 -> 9 [size =\"24329216\"]\n  9 [size=\"74543104\", alpha=\"0.04\", expect_size=\"37271552\"] \n  9 -> 10 [size =\"37271552\"]\n  10 [size=\"32401408\", alpha=\"0.16\", expect_size=\"16200704\"] \n  10 -> 11 [size =\"16200704\"]\n  11 [size=\"51052544\", alpha=\"0.16\", expect_size=\"25526272\"] \n  11 -> 12 [size =\"25526272\"]\n  12 [size=\"45262848\", alpha=\"0.13\", expect_size=\"22631424\"] \n  12 -> 13 [size =\"22631424\"]\n  13 [size=\"53669888\", alpha=\"0.06\", expect_size=\"26834944\"] \n  13 -> 14 [size =\"26834944\"]\n  14 [size=\"69091328\", alpha=\"0.12\", expect_size=\"34545664\"] \n  14 -> 15 [size =\"34545664\"]\n  15 [size=\"39129088\", alpha=\"0.11\", expect_size=\"19564544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96192000\", alpha=\"0.20\", expect_size=\"38476800\"] \n  1 -> 4 [size =\"38476800\"]\n  2 [size=\"56360960\", alpha=\"0.14\", expect_size=\"22544384\"] \n  2 -> 5 [size =\"22544384\"]\n  3 [size=\"91466240\", alpha=\"0.13\", expect_size=\"36586496\"] \n  3 -> 5 [size =\"36586496\"]\n  4 [size=\"71756800\", alpha=\"0.10\", expect_size=\"28702720\"] \n  4 -> 6 [size =\"28702720\"]\n  4 -> 7 [size =\"28702720\"]\n  4 -> 8 [size =\"28702720\"]\n  5 [size=\"130462720\", alpha=\"0.17\", expect_size=\"52185088\"] \n  5 -> 6 [size =\"52185088\"]\n  6 [size=\"109209600\", alpha=\"0.13\", expect_size=\"43683840\"] \n  6 -> 9 [size =\"43683840\"]\n  6 -> 10 [size =\"43683840\"]\n  6 -> 11 [size =\"43683840\"]\n  7 [size=\"65625600\", alpha=\"0.00\", expect_size=\"26250240\"] \n  7 -> 11 [size =\"26250240\"]\n  8 [size=\"19584000\", alpha=\"0.03\", expect_size=\"7833600\"] \n  8 -> 11 [size =\"7833600\"]\n  9 [size=\"43215360\", alpha=\"0.09\", expect_size=\"17286144\"] \n  9 -> 12 [size =\"17286144\"]\n  9 -> 13 [size =\"17286144\"]\n  9 -> 14 [size =\"17286144\"]\n  10 [size=\"107791360\", alpha=\"0.02\", expect_size=\"43116544\"] \n  10 -> 12 [size =\"43116544\"]\n  10 -> 13 [size =\"43116544\"]\n  10 -> 14 [size =\"43116544\"]\n  11 [size=\"124779520\", alpha=\"0.04\", expect_size=\"49911808\"] \n  12 [size=\"123937280\", alpha=\"0.11\", expect_size=\"49574912\"] \n  12 -> 15 [size =\"49574912\"]\n  13 [size=\"88215040\", alpha=\"0.07\", expect_size=\"35286016\"] \n  13 -> 15 [size =\"35286016\"]\n  14 [size=\"48066560\", alpha=\"0.11\", expect_size=\"19226624\"] \n  15 [size=\"105955840\", alpha=\"0.12\", expect_size=\"42382336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107274240\", alpha=\"0.16\", expect_size=\"42909696\"] \n  1 -> 2 [size =\"42909696\"]\n  2 [size=\"67932160\", alpha=\"0.15\", expect_size=\"27172864\"] \n  2 -> 3 [size =\"27172864\"]\n  3 [size=\"53301760\", alpha=\"0.10\", expect_size=\"21320704\"] \n  3 -> 4 [size =\"21320704\"]\n  4 [size=\"24821760\", alpha=\"0.01\", expect_size=\"9928704\"] \n  4 -> 5 [size =\"9928704\"]\n  5 [size=\"76802560\", alpha=\"0.05\", expect_size=\"30721024\"] \n  5 -> 6 [size =\"30721024\"]\n  6 [size=\"53747200\", alpha=\"0.12\", expect_size=\"21498880\"] \n  6 -> 7 [size =\"21498880\"]\n  7 [size=\"61109760\", alpha=\"0.08\", expect_size=\"24443904\"] \n  7 -> 8 [size =\"24443904\"]\n  8 [size=\"31641600\", alpha=\"0.00\", expect_size=\"12656640\"] \n  8 -> 9 [size =\"12656640\"]\n  9 [size=\"93314560\", alpha=\"0.18\", expect_size=\"37325824\"] \n  9 -> 10 [size =\"37325824\"]\n  10 [size=\"35463680\", alpha=\"0.09\", expect_size=\"14185472\"] \n  10 -> 11 [size =\"14185472\"]\n  11 [size=\"108736000\", alpha=\"0.11\", expect_size=\"43494400\"] \n  11 -> 12 [size =\"43494400\"]\n  12 [size=\"87050240\", alpha=\"0.18\", expect_size=\"34820096\"] \n  12 -> 13 [size =\"34820096\"]\n  13 [size=\"56320000\", alpha=\"0.07\", expect_size=\"22528000\"] \n  13 -> 14 [size =\"22528000\"]\n  14 [size=\"115630080\", alpha=\"0.10\", expect_size=\"46252032\"] \n  14 -> 15 [size =\"46252032\"]\n  15 [size=\"123870720\", alpha=\"0.05\", expect_size=\"49548288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68203520\", alpha=\"0.02\", expect_size=\"27281408\"] \n  1 -> 14 [size =\"27281408\"]\n  1 -> 15 [size =\"27281408\"]\n  2 [size=\"120309760\", alpha=\"0.20\", expect_size=\"48123904\"] \n  2 -> 14 [size =\"48123904\"]\n  3 [size=\"64389120\", alpha=\"0.18\", expect_size=\"25755648\"] \n  4 [size=\"129886720\", alpha=\"0.14\", expect_size=\"51954688\"] \n  4 -> 14 [size =\"51954688\"]\n  5 [size=\"23697920\", alpha=\"0.13\", expect_size=\"9479168\"] \n  6 [size=\"25113600\", alpha=\"0.17\", expect_size=\"10045440\"] \n  6 -> 14 [size =\"10045440\"]\n  6 -> 15 [size =\"10045440\"]\n  7 [size=\"124976640\", alpha=\"0.11\", expect_size=\"49990656\"] \n  7 -> 15 [size =\"49990656\"]\n  8 [size=\"84672000\", alpha=\"0.02\", expect_size=\"33868800\"] \n  8 -> 14 [size =\"33868800\"]\n  9 [size=\"35315200\", alpha=\"0.10\", expect_size=\"14126080\"] \n  9 -> 14 [size =\"14126080\"]\n  10 [size=\"33359360\", alpha=\"0.10\", expect_size=\"13343744\"] \n  10 -> 13 [size =\"13343744\"]\n  10 -> 14 [size =\"13343744\"]\n  11 [size=\"103129600\", alpha=\"0.06\", expect_size=\"41251840\"] \n  11 -> 14 [size =\"41251840\"]\n  12 [size=\"115630080\", alpha=\"0.08\", expect_size=\"46252032\"] \n  12 -> 13 [size =\"46252032\"]\n  12 -> 15 [size =\"46252032\"]\n  13 [size=\"113748480\", alpha=\"0.18\", expect_size=\"45499392\"] \n  14 [size=\"102041600\", alpha=\"0.06\", expect_size=\"40816640\"] \n  15 [size=\"69460480\", alpha=\"0.19\", expect_size=\"27784192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38895616\", alpha=\"0.16\", expect_size=\"19447808\"] \n  1 -> 2 [size =\"19447808\"]\n  1 -> 3 [size =\"19447808\"]\n  2 [size=\"63143936\", alpha=\"0.00\", expect_size=\"31571968\"] \n  2 -> 4 [size =\"31571968\"]\n  2 -> 5 [size =\"31571968\"]\n  3 [size=\"21104640\", alpha=\"0.13\", expect_size=\"10552320\"] \n  3 -> 4 [size =\"10552320\"]\n  3 -> 5 [size =\"10552320\"]\n  4 [size=\"64452608\", alpha=\"0.19\", expect_size=\"32226304\"] \n  4 -> 6 [size =\"32226304\"]\n  5 [size=\"88209408\", alpha=\"0.00\", expect_size=\"44104704\"] \n  6 [size=\"17795072\", alpha=\"0.13\", expect_size=\"8897536\"] \n  6 -> 7 [size =\"8897536\"]\n  7 [size=\"82481152\", alpha=\"0.17\", expect_size=\"41240576\"] \n  7 -> 8 [size =\"41240576\"]\n  7 -> 9 [size =\"41240576\"]\n  8 [size=\"73998336\", alpha=\"0.05\", expect_size=\"36999168\"] \n  9 [size=\"23498752\", alpha=\"0.11\", expect_size=\"11749376\"] \n  9 -> 10 [size =\"11749376\"]\n  10 [size=\"29440000\", alpha=\"0.05\", expect_size=\"14720000\"] \n  10 -> 11 [size =\"14720000\"]\n  11 [size=\"20580352\", alpha=\"0.18\", expect_size=\"10290176\"] \n  11 -> 12 [size =\"10290176\"]\n  12 [size=\"97095680\", alpha=\"0.10\", expect_size=\"48547840\"] \n  12 -> 13 [size =\"48547840\"]\n  12 -> 14 [size =\"48547840\"]\n  13 [size=\"97402880\", alpha=\"0.08\", expect_size=\"48701440\"] \n  13 -> 15 [size =\"48701440\"]\n  14 [size=\"62365696\", alpha=\"0.14\", expect_size=\"31182848\"] \n  14 -> 15 [size =\"31182848\"]\n  15 [size=\"55881728\", alpha=\"0.18\", expect_size=\"27940864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116398080\", alpha=\"0.06\", expect_size=\"46559232\"] \n  2 [size=\"34741760\", alpha=\"0.13\", expect_size=\"13896704\"] \n  3 [size=\"85693440\", alpha=\"0.15\", expect_size=\"34277376\"] \n  4 [size=\"76111360\", alpha=\"0.20\", expect_size=\"30444544\"] \n  5 [size=\"66106880\", alpha=\"0.02\", expect_size=\"26442752\"] \n  6 [size=\"96058880\", alpha=\"0.15\", expect_size=\"38423552\"] \n  7 [size=\"83384320\", alpha=\"0.10\", expect_size=\"33353728\"] \n  8 [size=\"59719680\", alpha=\"0.10\", expect_size=\"23887872\"] \n  9 [size=\"47534080\", alpha=\"0.07\", expect_size=\"19013632\"] \n  10 [size=\"50844160\", alpha=\"0.16\", expect_size=\"20337664\"] \n  11 [size=\"48678400\", alpha=\"0.00\", expect_size=\"19471360\"] \n  12 [size=\"81702400\", alpha=\"0.11\", expect_size=\"32680960\"] \n  13 [size=\"39905280\", alpha=\"0.05\", expect_size=\"15962112\"] \n  14 [size=\"125831680\", alpha=\"0.00\", expect_size=\"50332672\"] \n  15 [size=\"124915200\", alpha=\"0.10\", expect_size=\"49966080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108602880\", alpha=\"0.11\", expect_size=\"43441152\"] \n  2 [size=\"124241920\", alpha=\"0.14\", expect_size=\"49696768\"] \n  2 -> 10 [size =\"49696768\"]\n  2 -> 15 [size =\"49696768\"]\n  3 [size=\"51192320\", alpha=\"0.01\", expect_size=\"20476928\"] \n  3 -> 10 [size =\"20476928\"]\n  3 -> 14 [size =\"20476928\"]\n  3 -> 15 [size =\"20476928\"]\n  4 [size=\"81617920\", alpha=\"0.01\", expect_size=\"32647168\"] \n  4 -> 10 [size =\"32647168\"]\n  4 -> 11 [size =\"32647168\"]\n  5 [size=\"125898240\", alpha=\"0.11\", expect_size=\"50359296\"] \n  5 -> 10 [size =\"50359296\"]\n  5 -> 11 [size =\"50359296\"]\n  6 [size=\"111137280\", alpha=\"0.18\", expect_size=\"44454912\"] \n  7 [size=\"84756480\", alpha=\"0.06\", expect_size=\"33902592\"] \n  7 -> 12 [size =\"33902592\"]\n  8 [size=\"18557440\", alpha=\"0.15\", expect_size=\"7422976\"] \n  9 [size=\"18595840\", alpha=\"0.00\", expect_size=\"7438336\"] \n  9 -> 13 [size =\"7438336\"]\n  10 [size=\"36177920\", alpha=\"0.04\", expect_size=\"14471168\"] \n  11 [size=\"59906560\", alpha=\"0.03\", expect_size=\"23962624\"] \n  12 [size=\"124902400\", alpha=\"0.10\", expect_size=\"49960960\"] \n  13 [size=\"90119680\", alpha=\"0.08\", expect_size=\"36047872\"] \n  14 [size=\"96386560\", alpha=\"0.14\", expect_size=\"38554624\"] \n  15 [size=\"102671360\", alpha=\"0.04\", expect_size=\"41068544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51695616\", alpha=\"0.11\", expect_size=\"25847808\"] \n  1 -> 4 [size =\"25847808\"]\n  2 [size=\"96172032\", alpha=\"0.03\", expect_size=\"48086016\"] \n  2 -> 3 [size =\"48086016\"]\n  3 [size=\"52328448\", alpha=\"0.19\", expect_size=\"26164224\"] \n  3 -> 5 [size =\"26164224\"]\n  3 -> 6 [size =\"26164224\"]\n  4 [size=\"44861440\", alpha=\"0.15\", expect_size=\"22430720\"] \n  4 -> 6 [size =\"22430720\"]\n  5 [size=\"34787328\", alpha=\"0.04\", expect_size=\"17393664\"] \n  6 [size=\"38289408\", alpha=\"0.14\", expect_size=\"19144704\"] \n  6 -> 7 [size =\"19144704\"]\n  6 -> 8 [size =\"19144704\"]\n  7 [size=\"55119872\", alpha=\"0.04\", expect_size=\"27559936\"] \n  7 -> 9 [size =\"27559936\"]\n  8 [size=\"41709568\", alpha=\"0.02\", expect_size=\"20854784\"] \n  8 -> 9 [size =\"20854784\"]\n  8 -> 10 [size =\"20854784\"]\n  9 [size=\"91531264\", alpha=\"0.13\", expect_size=\"45765632\"] \n  9 -> 11 [size =\"45765632\"]\n  9 -> 12 [size =\"45765632\"]\n  10 [size=\"83943424\", alpha=\"0.15\", expect_size=\"41971712\"] \n  10 -> 12 [size =\"41971712\"]\n  11 [size=\"64649216\", alpha=\"0.16\", expect_size=\"32324608\"] \n  12 [size=\"24279040\", alpha=\"0.18\", expect_size=\"12139520\"] \n  12 -> 13 [size =\"12139520\"]\n  13 [size=\"39073792\", alpha=\"0.07\", expect_size=\"19536896\"] \n  13 -> 14 [size =\"19536896\"]\n  13 -> 15 [size =\"19536896\"]\n  14 [size=\"32481280\", alpha=\"0.18\", expect_size=\"16240640\"] \n  15 [size=\"102678528\", alpha=\"0.12\", expect_size=\"51339264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133669547\", alpha=\"0.05\", expect_size=\"40100864\"] \n  1 -> 2 [size =\"40100864\"]\n  1 -> 3 [size =\"40100864\"]\n  2 [size=\"159457280\", alpha=\"0.09\", expect_size=\"47837184\"] \n  3 [size=\"154224640\", alpha=\"0.08\", expect_size=\"46267392\"] \n  3 -> 4 [size =\"46267392\"]\n  3 -> 5 [size =\"46267392\"]\n  4 [size=\"160501760\", alpha=\"0.08\", expect_size=\"48150528\"] \n  4 -> 7 [size =\"48150528\"]\n  5 [size=\"149521067\", alpha=\"0.11\", expect_size=\"44856320\"] \n  5 -> 6 [size =\"44856320\"]\n  6 [size=\"77619200\", alpha=\"0.18\", expect_size=\"23285760\"] \n  6 -> 8 [size =\"23285760\"]\n  7 [size=\"23695360\", alpha=\"0.19\", expect_size=\"7108608\"] \n  7 -> 9 [size =\"7108608\"]\n  8 [size=\"98740907\", alpha=\"0.16\", expect_size=\"29622272\"] \n  8 -> 10 [size =\"29622272\"]\n  9 [size=\"23746560\", alpha=\"0.12\", expect_size=\"7123968\"] \n  10 [size=\"75506347\", alpha=\"0.10\", expect_size=\"22651904\"] \n  10 -> 11 [size =\"22651904\"]\n  11 [size=\"161884160\", alpha=\"0.12\", expect_size=\"48565248\"] \n  11 -> 12 [size =\"48565248\"]\n  11 -> 13 [size =\"48565248\"]\n  12 [size=\"41314987\", alpha=\"0.17\", expect_size=\"12394496\"] \n  13 [size=\"108714667\", alpha=\"0.13\", expect_size=\"32614400\"] \n  13 -> 14 [size =\"32614400\"]\n  13 -> 15 [size =\"32614400\"]\n  14 [size=\"170833920\", alpha=\"0.14\", expect_size=\"51250176\"] \n  15 [size=\"77202773\", alpha=\"0.07\", expect_size=\"23160832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139554133\", alpha=\"0.18\", expect_size=\"41866240\"] \n  1 -> 2 [size =\"41866240\"]\n  2 [size=\"61624320\", alpha=\"0.01\", expect_size=\"18487296\"] \n  2 -> 3 [size =\"18487296\"]\n  3 [size=\"85084160\", alpha=\"0.15\", expect_size=\"25525248\"] \n  3 -> 4 [size =\"25525248\"]\n  4 [size=\"67775147\", alpha=\"0.16\", expect_size=\"20332544\"] \n  4 -> 5 [size =\"20332544\"]\n  5 [size=\"81090560\", alpha=\"0.11\", expect_size=\"24327168\"] \n  5 -> 6 [size =\"24327168\"]\n  6 [size=\"130327893\", alpha=\"0.15\", expect_size=\"39098368\"] \n  6 -> 7 [size =\"39098368\"]\n  7 [size=\"149582507\", alpha=\"0.18\", expect_size=\"44874752\"] \n  7 -> 8 [size =\"44874752\"]\n  8 [size=\"112401067\", alpha=\"0.07\", expect_size=\"33720320\"] \n  8 -> 9 [size =\"33720320\"]\n  9 [size=\"136284160\", alpha=\"0.09\", expect_size=\"40885248\"] \n  9 -> 10 [size =\"40885248\"]\n  10 [size=\"143766187\", alpha=\"0.07\", expect_size=\"43129856\"] \n  10 -> 11 [size =\"43129856\"]\n  11 [size=\"128109227\", alpha=\"0.10\", expect_size=\"38432768\"] \n  11 -> 12 [size =\"38432768\"]\n  12 [size=\"114022400\", alpha=\"0.17\", expect_size=\"34206720\"] \n  12 -> 13 [size =\"34206720\"]\n  13 [size=\"119408640\", alpha=\"0.07\", expect_size=\"35822592\"] \n  13 -> 14 [size =\"35822592\"]\n  14 [size=\"82333013\", alpha=\"0.10\", expect_size=\"24699904\"] \n  14 -> 15 [size =\"24699904\"]\n  15 [size=\"50059947\", alpha=\"0.11\", expect_size=\"15017984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111892480\", alpha=\"0.03\", expect_size=\"33567744\"] \n  1 -> 2 [size =\"33567744\"]\n  1 -> 3 [size =\"33567744\"]\n  2 [size=\"85261653\", alpha=\"0.19\", expect_size=\"25578496\"] \n  3 [size=\"64747520\", alpha=\"0.09\", expect_size=\"19424256\"] \n  3 -> 4 [size =\"19424256\"]\n  4 [size=\"91917653\", alpha=\"0.15\", expect_size=\"27575296\"] \n  4 -> 5 [size =\"27575296\"]\n  4 -> 6 [size =\"27575296\"]\n  5 [size=\"84910080\", alpha=\"0.07\", expect_size=\"25473024\"] \n  5 -> 7 [size =\"25473024\"]\n  6 [size=\"70809600\", alpha=\"0.06\", expect_size=\"21242880\"] \n  7 [size=\"80872107\", alpha=\"0.02\", expect_size=\"24261632\"] \n  7 -> 8 [size =\"24261632\"]\n  8 [size=\"148473173\", alpha=\"0.09\", expect_size=\"44541952\"] \n  8 -> 9 [size =\"44541952\"]\n  9 [size=\"52701867\", alpha=\"0.13\", expect_size=\"15810560\"] \n  9 -> 10 [size =\"15810560\"]\n  10 [size=\"80493227\", alpha=\"0.20\", expect_size=\"24147968\"] \n  10 -> 11 [size =\"24147968\"]\n  11 [size=\"31170560\", alpha=\"0.01\", expect_size=\"9351168\"] \n  11 -> 12 [size =\"9351168\"]\n  11 -> 13 [size =\"9351168\"]\n  12 [size=\"57432747\", alpha=\"0.09\", expect_size=\"17229824\"] \n  12 -> 14 [size =\"17229824\"]\n  13 [size=\"53422080\", alpha=\"0.19\", expect_size=\"16026624\"] \n  14 [size=\"124429653\", alpha=\"0.04\", expect_size=\"37328896\"] \n  14 -> 15 [size =\"37328896\"]\n  15 [size=\"82786987\", alpha=\"0.01\", expect_size=\"24836096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59525120\", alpha=\"0.05\", expect_size=\"29762560\"] \n  1 -> 4 [size =\"29762560\"]\n  2 [size=\"63428608\", alpha=\"0.01\", expect_size=\"31714304\"] \n  2 -> 5 [size =\"31714304\"]\n  3 [size=\"22153216\", alpha=\"0.10\", expect_size=\"11076608\"] \n  3 -> 6 [size =\"11076608\"]\n  4 [size=\"101199872\", alpha=\"0.04\", expect_size=\"50599936\"] \n  4 -> 8 [size =\"50599936\"]\n  4 -> 10 [size =\"50599936\"]\n  4 -> 11 [size =\"50599936\"]\n  4 -> 13 [size =\"50599936\"]\n  5 [size=\"58877952\", alpha=\"0.13\", expect_size=\"29438976\"] \n  5 -> 9 [size =\"29438976\"]\n  5 -> 13 [size =\"29438976\"]\n  6 [size=\"77193216\", alpha=\"0.01\", expect_size=\"38596608\"] \n  6 -> 7 [size =\"38596608\"]\n  6 -> 8 [size =\"38596608\"]\n  6 -> 10 [size =\"38596608\"]\n  6 -> 12 [size =\"38596608\"]\n  7 [size=\"49649664\", alpha=\"0.06\", expect_size=\"24824832\"] \n  7 -> 14 [size =\"24824832\"]\n  7 -> 15 [size =\"24824832\"]\n  8 [size=\"17596416\", alpha=\"0.16\", expect_size=\"8798208\"] \n  9 [size=\"32563200\", alpha=\"0.19\", expect_size=\"16281600\"] \n  10 [size=\"38510592\", alpha=\"0.14\", expect_size=\"19255296\"] \n  11 [size=\"36429824\", alpha=\"0.08\", expect_size=\"18214912\"] \n  11 -> 15 [size =\"18214912\"]\n  12 [size=\"60211200\", alpha=\"0.13\", expect_size=\"30105600\"] \n  12 -> 15 [size =\"30105600\"]\n  13 [size=\"66836480\", alpha=\"0.10\", expect_size=\"33418240\"] \n  14 [size=\"19568640\", alpha=\"0.08\", expect_size=\"9784320\"] \n  15 [size=\"38180864\", alpha=\"0.17\", expect_size=\"19090432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29143040\", alpha=\"0.11\", expect_size=\"14571520\"] \n  2 [size=\"45377536\", alpha=\"0.17\", expect_size=\"22688768\"] \n  2 -> 3 [size =\"22688768\"]\n  3 [size=\"54900736\", alpha=\"0.11\", expect_size=\"27450368\"] \n  3 -> 4 [size =\"27450368\"]\n  4 [size=\"41351168\", alpha=\"0.06\", expect_size=\"20675584\"] \n  4 -> 5 [size =\"20675584\"]\n  4 -> 6 [size =\"20675584\"]\n  5 [size=\"34295808\", alpha=\"0.11\", expect_size=\"17147904\"] \n  6 [size=\"23455744\", alpha=\"0.08\", expect_size=\"11727872\"] \n  6 -> 7 [size =\"11727872\"]\n  7 [size=\"88340480\", alpha=\"0.04\", expect_size=\"44170240\"] \n  7 -> 8 [size =\"44170240\"]\n  7 -> 9 [size =\"44170240\"]\n  8 [size=\"25010176\", alpha=\"0.16\", expect_size=\"12505088\"] \n  8 -> 10 [size =\"12505088\"]\n  9 [size=\"61571072\", alpha=\"0.06\", expect_size=\"30785536\"] \n  9 -> 10 [size =\"30785536\"]\n  10 [size=\"75765760\", alpha=\"0.10\", expect_size=\"37882880\"] \n  10 -> 11 [size =\"37882880\"]\n  11 [size=\"41934848\", alpha=\"0.06\", expect_size=\"20967424\"] \n  11 -> 12 [size =\"20967424\"]\n  12 [size=\"95080448\", alpha=\"0.09\", expect_size=\"47540224\"] \n  12 -> 13 [size =\"47540224\"]\n  13 [size=\"83161088\", alpha=\"0.20\", expect_size=\"41580544\"] \n  13 -> 14 [size =\"41580544\"]\n  13 -> 15 [size =\"41580544\"]\n  14 [size=\"38567936\", alpha=\"0.13\", expect_size=\"19283968\"] \n  15 [size=\"68448256\", alpha=\"0.08\", expect_size=\"34224128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28989440\", alpha=\"0.10\", expect_size=\"14494720\"] \n  1 -> 4 [size =\"14494720\"]\n  1 -> 5 [size =\"14494720\"]\n  1 -> 6 [size =\"14494720\"]\n  2 [size=\"49098752\", alpha=\"0.10\", expect_size=\"24549376\"] \n  3 [size=\"67584000\", alpha=\"0.17\", expect_size=\"33792000\"] \n  3 -> 4 [size =\"33792000\"]\n  3 -> 5 [size =\"33792000\"]\n  3 -> 6 [size =\"33792000\"]\n  4 [size=\"61163520\", alpha=\"0.10\", expect_size=\"30581760\"] \n  4 -> 8 [size =\"30581760\"]\n  5 [size=\"99604480\", alpha=\"0.19\", expect_size=\"49802240\"] \n  5 -> 7 [size =\"49802240\"]\n  6 [size=\"82305024\", alpha=\"0.10\", expect_size=\"41152512\"] \n  7 [size=\"29820928\", alpha=\"0.01\", expect_size=\"14910464\"] \n  7 -> 10 [size =\"14910464\"]\n  8 [size=\"65871872\", alpha=\"0.19\", expect_size=\"32935936\"] \n  8 -> 9 [size =\"32935936\"]\n  9 [size=\"97808384\", alpha=\"0.12\", expect_size=\"48904192\"] \n  9 -> 11 [size =\"48904192\"]\n  10 [size=\"45023232\", alpha=\"0.07\", expect_size=\"22511616\"] \n  10 -> 11 [size =\"22511616\"]\n  10 -> 12 [size =\"22511616\"]\n  10 -> 13 [size =\"22511616\"]\n  11 [size=\"53637120\", alpha=\"0.02\", expect_size=\"26818560\"] \n  11 -> 14 [size =\"26818560\"]\n  11 -> 15 [size =\"26818560\"]\n  12 [size=\"99682304\", alpha=\"0.05\", expect_size=\"49841152\"] \n  13 [size=\"54618112\", alpha=\"0.09\", expect_size=\"27309056\"] \n  13 -> 14 [size =\"27309056\"]\n  13 -> 15 [size =\"27309056\"]\n  14 [size=\"40843264\", alpha=\"0.03\", expect_size=\"20421632\"] \n  15 [size=\"88064000\", alpha=\"0.01\", expect_size=\"44032000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88043520\", alpha=\"0.00\", expect_size=\"26413056\"] \n  1 -> 2 [size =\"26413056\"]\n  2 [size=\"68072107\", alpha=\"0.02\", expect_size=\"20421632\"] \n  2 -> 3 [size =\"20421632\"]\n  3 [size=\"152528213\", alpha=\"0.15\", expect_size=\"45758464\"] \n  3 -> 4 [size =\"45758464\"]\n  4 [size=\"41250133\", alpha=\"0.09\", expect_size=\"12375040\"] \n  4 -> 5 [size =\"12375040\"]\n  5 [size=\"168864427\", alpha=\"0.11\", expect_size=\"50659328\"] \n  5 -> 6 [size =\"50659328\"]\n  6 [size=\"39345493\", alpha=\"0.01\", expect_size=\"11803648\"] \n  6 -> 7 [size =\"11803648\"]\n  7 [size=\"124678827\", alpha=\"0.13\", expect_size=\"37403648\"] \n  7 -> 8 [size =\"37403648\"]\n  8 [size=\"129225387\", alpha=\"0.10\", expect_size=\"38767616\"] \n  8 -> 9 [size =\"38767616\"]\n  9 [size=\"144049493\", alpha=\"0.03\", expect_size=\"43214848\"] \n  9 -> 10 [size =\"43214848\"]\n  10 [size=\"40386560\", alpha=\"0.19\", expect_size=\"12115968\"] \n  10 -> 11 [size =\"12115968\"]\n  11 [size=\"171100160\", alpha=\"0.01\", expect_size=\"51330048\"] \n  11 -> 12 [size =\"51330048\"]\n  12 [size=\"174523733\", alpha=\"0.04\", expect_size=\"52357120\"] \n  12 -> 13 [size =\"52357120\"]\n  13 [size=\"34471253\", alpha=\"0.17\", expect_size=\"10341376\"] \n  13 -> 14 [size =\"10341376\"]\n  14 [size=\"149087573\", alpha=\"0.05\", expect_size=\"44726272\"] \n  14 -> 15 [size =\"44726272\"]\n  15 [size=\"65266347\", alpha=\"0.01\", expect_size=\"19579904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29619200\", alpha=\"0.14\", expect_size=\"11847680\"] \n  2 [size=\"101296640\", alpha=\"0.13\", expect_size=\"40518656\"] \n  2 -> 5 [size =\"40518656\"]\n  3 [size=\"37867520\", alpha=\"0.16\", expect_size=\"15147008\"] \n  3 -> 4 [size =\"15147008\"]\n  4 [size=\"57344000\", alpha=\"0.11\", expect_size=\"22937600\"] \n  4 -> 6 [size =\"22937600\"]\n  5 [size=\"38653440\", alpha=\"0.15\", expect_size=\"15461376\"] \n  5 -> 7 [size =\"15461376\"]\n  6 [size=\"128360960\", alpha=\"0.19\", expect_size=\"51344384\"] \n  6 -> 8 [size =\"51344384\"]\n  6 -> 9 [size =\"51344384\"]\n  6 -> 10 [size =\"51344384\"]\n  7 [size=\"86469120\", alpha=\"0.08\", expect_size=\"34587648\"] \n  8 [size=\"56381440\", alpha=\"0.04\", expect_size=\"22552576\"] \n  8 -> 11 [size =\"22552576\"]\n  9 [size=\"58677760\", alpha=\"0.10\", expect_size=\"23471104\"] \n  10 [size=\"76346880\", alpha=\"0.10\", expect_size=\"30538752\"] \n  10 -> 12 [size =\"30538752\"]\n  10 -> 13 [size =\"30538752\"]\n  11 [size=\"73118720\", alpha=\"0.18\", expect_size=\"29247488\"] \n  11 -> 14 [size =\"29247488\"]\n  11 -> 15 [size =\"29247488\"]\n  12 [size=\"38604800\", alpha=\"0.12\", expect_size=\"15441920\"] \n  13 [size=\"117288960\", alpha=\"0.20\", expect_size=\"46915584\"] \n  14 [size=\"95662080\", alpha=\"0.19\", expect_size=\"38264832\"] \n  15 [size=\"42903040\", alpha=\"0.09\", expect_size=\"17161216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57275733\", alpha=\"0.07\", expect_size=\"17182720\"] \n  1 -> 10 [size =\"17182720\"]\n  1 -> 13 [size =\"17182720\"]\n  2 [size=\"160925013\", alpha=\"0.10\", expect_size=\"48277504\"] \n  2 -> 9 [size =\"48277504\"]\n  2 -> 10 [size =\"48277504\"]\n  2 -> 14 [size =\"48277504\"]\n  2 -> 15 [size =\"48277504\"]\n  3 [size=\"145807360\", alpha=\"0.04\", expect_size=\"43742208\"] \n  3 -> 9 [size =\"43742208\"]\n  3 -> 10 [size =\"43742208\"]\n  3 -> 15 [size =\"43742208\"]\n  4 [size=\"94238720\", alpha=\"0.19\", expect_size=\"28271616\"] \n  4 -> 9 [size =\"28271616\"]\n  4 -> 10 [size =\"28271616\"]\n  4 -> 14 [size =\"28271616\"]\n  4 -> 15 [size =\"28271616\"]\n  5 [size=\"142803627\", alpha=\"0.16\", expect_size=\"42841088\"] \n  5 -> 9 [size =\"42841088\"]\n  5 -> 10 [size =\"42841088\"]\n  5 -> 12 [size =\"42841088\"]\n  5 -> 13 [size =\"42841088\"]\n  5 -> 14 [size =\"42841088\"]\n  5 -> 15 [size =\"42841088\"]\n  6 [size=\"108376747\", alpha=\"0.06\", expect_size=\"32513024\"] \n  6 -> 9 [size =\"32513024\"]\n  6 -> 10 [size =\"32513024\"]\n  6 -> 13 [size =\"32513024\"]\n  6 -> 14 [size =\"32513024\"]\n  6 -> 15 [size =\"32513024\"]\n  7 [size=\"158692693\", alpha=\"0.09\", expect_size=\"47607808\"] \n  7 -> 9 [size =\"47607808\"]\n  7 -> 10 [size =\"47607808\"]\n  7 -> 11 [size =\"47607808\"]\n  7 -> 12 [size =\"47607808\"]\n  7 -> 13 [size =\"47607808\"]\n  7 -> 15 [size =\"47607808\"]\n  8 [size=\"129406293\", alpha=\"0.07\", expect_size=\"38821888\"] \n  8 -> 9 [size =\"38821888\"]\n  8 -> 10 [size =\"38821888\"]\n  8 -> 14 [size =\"38821888\"]\n  9 [size=\"65320960\", alpha=\"0.03\", expect_size=\"19596288\"] \n  10 [size=\"68164267\", alpha=\"0.06\", expect_size=\"20449280\"] \n  11 [size=\"167434240\", alpha=\"0.09\", expect_size=\"50230272\"] \n  12 [size=\"66280107\", alpha=\"0.16\", expect_size=\"19884032\"] \n  13 [size=\"146097493\", alpha=\"0.05\", expect_size=\"43829248\"] \n  14 [size=\"22411947\", alpha=\"0.05\", expect_size=\"6723584\"] \n  15 [size=\"18206720\", alpha=\"0.11\", expect_size=\"5462016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67549867\", alpha=\"0.07\", expect_size=\"20264960\"] \n  1 -> 7 [size =\"20264960\"]\n  1 -> 7 [size =\"20264960\"]\n  1 -> 8 [size =\"20264960\"]\n  1 -> 9 [size =\"20264960\"]\n  1 -> 10 [size =\"20264960\"]\n  1 -> 11 [size =\"20264960\"]\n  2 [size=\"109213013\", alpha=\"0.19\", expect_size=\"32763904\"] \n  2 -> 6 [size =\"32763904\"]\n  2 -> 9 [size =\"32763904\"]\n  2 -> 10 [size =\"32763904\"]\n  3 [size=\"30870187\", alpha=\"0.16\", expect_size=\"9261056\"] \n  3 -> 8 [size =\"9261056\"]\n  3 -> 10 [size =\"9261056\"]\n  4 [size=\"66805760\", alpha=\"0.06\", expect_size=\"20041728\"] \n  4 -> 6 [size =\"20041728\"]\n  4 -> 7 [size =\"20041728\"]\n  4 -> 11 [size =\"20041728\"]\n  5 [size=\"50756267\", alpha=\"0.12\", expect_size=\"15226880\"] \n  5 -> 6 [size =\"15226880\"]\n  5 -> 7 [size =\"15226880\"]\n  5 -> 8 [size =\"15226880\"]\n  5 -> 9 [size =\"15226880\"]\n  6 [size=\"172731733\", alpha=\"0.01\", expect_size=\"51819520\"] \n  6 -> 12 [size =\"51819520\"]\n  6 -> 15 [size =\"51819520\"]\n  7 [size=\"47534080\", alpha=\"0.09\", expect_size=\"14260224\"] \n  7 -> 13 [size =\"14260224\"]\n  7 -> 14 [size =\"14260224\"]\n  7 -> 15 [size =\"14260224\"]\n  8 [size=\"23268693\", alpha=\"0.15\", expect_size=\"6980608\"] \n  8 -> 13 [size =\"6980608\"]\n  8 -> 15 [size =\"6980608\"]\n  9 [size=\"118869333\", alpha=\"0.09\", expect_size=\"35660800\"] \n  9 -> 12 [size =\"35660800\"]\n  10 [size=\"71789227\", alpha=\"0.08\", expect_size=\"21536768\"] \n  10 -> 12 [size =\"21536768\"]\n  10 -> 13 [size =\"21536768\"]\n  10 -> 14 [size =\"21536768\"]\n  10 -> 15 [size =\"21536768\"]\n  11 [size=\"128296960\", alpha=\"0.13\", expect_size=\"38489088\"] \n  11 -> 13 [size =\"38489088\"]\n  11 -> 14 [size =\"38489088\"]\n  12 [size=\"26804907\", alpha=\"0.15\", expect_size=\"8041472\"] \n  13 [size=\"172793173\", alpha=\"0.10\", expect_size=\"51837952\"] \n  14 [size=\"143431680\", alpha=\"0.01\", expect_size=\"43029504\"] \n  15 [size=\"30474240\", alpha=\"0.15\", expect_size=\"9142272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144728747\", alpha=\"0.01\", expect_size=\"43418624\"] \n  1 -> 5 [size =\"43418624\"]\n  2 [size=\"58210987\", alpha=\"0.13\", expect_size=\"17463296\"] \n  2 -> 5 [size =\"17463296\"]\n  3 [size=\"36601173\", alpha=\"0.15\", expect_size=\"10980352\"] \n  3 -> 4 [size =\"10980352\"]\n  4 [size=\"117705387\", alpha=\"0.13\", expect_size=\"35311616\"] \n  4 -> 6 [size =\"35311616\"]\n  4 -> 7 [size =\"35311616\"]\n  5 [size=\"77434880\", alpha=\"0.04\", expect_size=\"23230464\"] \n  5 -> 6 [size =\"23230464\"]\n  5 -> 7 [size =\"23230464\"]\n  6 [size=\"144687787\", alpha=\"0.14\", expect_size=\"43406336\"] \n  6 -> 9 [size =\"43406336\"]\n  7 [size=\"97228800\", alpha=\"0.03\", expect_size=\"29168640\"] \n  7 -> 8 [size =\"29168640\"]\n  7 -> 9 [size =\"29168640\"]\n  8 [size=\"103792640\", alpha=\"0.02\", expect_size=\"31137792\"] \n  8 -> 10 [size =\"31137792\"]\n  8 -> 11 [size =\"31137792\"]\n  8 -> 12 [size =\"31137792\"]\n  9 [size=\"110745600\", alpha=\"0.08\", expect_size=\"33223680\"] \n  9 -> 10 [size =\"33223680\"]\n  9 -> 11 [size =\"33223680\"]\n  9 -> 12 [size =\"33223680\"]\n  10 [size=\"26989227\", alpha=\"0.20\", expect_size=\"8096768\"] \n  11 [size=\"152801280\", alpha=\"0.14\", expect_size=\"45840384\"] \n  11 -> 15 [size =\"45840384\"]\n  12 [size=\"159614293\", alpha=\"0.19\", expect_size=\"47884288\"] \n  12 -> 13 [size =\"47884288\"]\n  12 -> 14 [size =\"47884288\"]\n  12 -> 15 [size =\"47884288\"]\n  13 [size=\"103328427\", alpha=\"0.13\", expect_size=\"30998528\"] \n  14 [size=\"67317760\", alpha=\"0.04\", expect_size=\"20195328\"] \n  15 [size=\"168673280\", alpha=\"0.03\", expect_size=\"50601984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79992320\", alpha=\"0.09\", expect_size=\"31996928\"] \n  1 -> 15 [size =\"31996928\"]\n  2 [size=\"99778560\", alpha=\"0.16\", expect_size=\"39911424\"] \n  3 [size=\"89349120\", alpha=\"0.15\", expect_size=\"35739648\"] \n  4 [size=\"125946880\", alpha=\"0.06\", expect_size=\"50378752\"] \n  5 [size=\"100782080\", alpha=\"0.08\", expect_size=\"40312832\"] \n  6 [size=\"90959360\", alpha=\"0.06\", expect_size=\"36383744\"] \n  7 [size=\"51809280\", alpha=\"0.13\", expect_size=\"20723712\"] \n  8 [size=\"123299840\", alpha=\"0.05\", expect_size=\"49319936\"] \n  9 [size=\"19973120\", alpha=\"0.14\", expect_size=\"7989248\"] \n  9 -> 15 [size =\"7989248\"]\n  10 [size=\"95736320\", alpha=\"0.10\", expect_size=\"38294528\"] \n  10 -> 15 [size =\"38294528\"]\n  11 [size=\"108631040\", alpha=\"0.02\", expect_size=\"43452416\"] \n  11 -> 15 [size =\"43452416\"]\n  12 [size=\"45032960\", alpha=\"0.12\", expect_size=\"18013184\"] \n  12 -> 15 [size =\"18013184\"]\n  13 [size=\"18782720\", alpha=\"0.01\", expect_size=\"7513088\"] \n  13 -> 15 [size =\"7513088\"]\n  14 [size=\"109665280\", alpha=\"0.19\", expect_size=\"43866112\"] \n  15 [size=\"25200640\", alpha=\"0.10\", expect_size=\"10080256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86052864\", alpha=\"0.15\", expect_size=\"43026432\"] \n  1 -> 2 [size =\"43026432\"]\n  2 [size=\"95520768\", alpha=\"0.20\", expect_size=\"47760384\"] \n  2 -> 3 [size =\"47760384\"]\n  2 -> 4 [size =\"47760384\"]\n  3 [size=\"37967872\", alpha=\"0.13\", expect_size=\"18983936\"] \n  3 -> 5 [size =\"18983936\"]\n  4 [size=\"22900736\", alpha=\"0.01\", expect_size=\"11450368\"] \n  5 [size=\"65196032\", alpha=\"0.09\", expect_size=\"32598016\"] \n  5 -> 6 [size =\"32598016\"]\n  5 -> 7 [size =\"32598016\"]\n  6 [size=\"78428160\", alpha=\"0.17\", expect_size=\"39214080\"] \n  6 -> 8 [size =\"39214080\"]\n  7 [size=\"50130944\", alpha=\"0.02\", expect_size=\"25065472\"] \n  7 -> 8 [size =\"25065472\"]\n  8 [size=\"51800064\", alpha=\"0.15\", expect_size=\"25900032\"] \n  8 -> 9 [size =\"25900032\"]\n  8 -> 10 [size =\"25900032\"]\n  9 [size=\"74889216\", alpha=\"0.19\", expect_size=\"37444608\"] \n  9 -> 11 [size =\"37444608\"]\n  9 -> 12 [size =\"37444608\"]\n  10 [size=\"51888128\", alpha=\"0.14\", expect_size=\"25944064\"] \n  10 -> 12 [size =\"25944064\"]\n  11 [size=\"61480960\", alpha=\"0.00\", expect_size=\"30740480\"] \n  11 -> 13 [size =\"30740480\"]\n  11 -> 14 [size =\"30740480\"]\n  12 [size=\"36171776\", alpha=\"0.15\", expect_size=\"18085888\"] \n  12 -> 13 [size =\"18085888\"]\n  12 -> 14 [size =\"18085888\"]\n  13 [size=\"34478080\", alpha=\"0.19\", expect_size=\"17239040\"] \n  13 -> 15 [size =\"17239040\"]\n  14 [size=\"96962560\", alpha=\"0.19\", expect_size=\"48481280\"] \n  14 -> 15 [size =\"48481280\"]\n  15 [size=\"100339712\", alpha=\"0.13\", expect_size=\"50169856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159330987\", alpha=\"0.18\", expect_size=\"47799296\"] \n  1 -> 7 [size =\"47799296\"]\n  1 -> 8 [size =\"47799296\"]\n  1 -> 9 [size =\"47799296\"]\n  2 [size=\"63334400\", alpha=\"0.06\", expect_size=\"19000320\"] \n  2 -> 6 [size =\"19000320\"]\n  2 -> 7 [size =\"19000320\"]\n  2 -> 8 [size =\"19000320\"]\n  2 -> 9 [size =\"19000320\"]\n  2 -> 10 [size =\"19000320\"]\n  3 [size=\"161112747\", alpha=\"0.04\", expect_size=\"48333824\"] \n  3 -> 6 [size =\"48333824\"]\n  4 [size=\"88678400\", alpha=\"0.09\", expect_size=\"26603520\"] \n  4 -> 7 [size =\"26603520\"]\n  4 -> 8 [size =\"26603520\"]\n  5 [size=\"64535893\", alpha=\"0.10\", expect_size=\"19360768\"] \n  5 -> 6 [size =\"19360768\"]\n  5 -> 9 [size =\"19360768\"]\n  6 [size=\"131386027\", alpha=\"0.10\", expect_size=\"39415808\"] \n  6 -> 13 [size =\"39415808\"]\n  6 -> 15 [size =\"39415808\"]\n  7 [size=\"36311040\", alpha=\"0.12\", expect_size=\"10893312\"] \n  7 -> 12 [size =\"10893312\"]\n  7 -> 13 [size =\"10893312\"]\n  8 [size=\"34747733\", alpha=\"0.15\", expect_size=\"10424320\"] \n  8 -> 12 [size =\"10424320\"]\n  8 -> 13 [size =\"10424320\"]\n  8 -> 14 [size =\"10424320\"]\n  8 -> 15 [size =\"10424320\"]\n  9 [size=\"45219840\", alpha=\"0.13\", expect_size=\"13565952\"] \n  9 -> 11 [size =\"13565952\"]\n  9 -> 13 [size =\"13565952\"]\n  9 -> 15 [size =\"13565952\"]\n  10 [size=\"165249707\", alpha=\"0.17\", expect_size=\"49574912\"] \n  10 -> 14 [size =\"49574912\"]\n  10 -> 15 [size =\"49574912\"]\n  11 [size=\"108206080\", alpha=\"0.09\", expect_size=\"32461824\"] \n  12 [size=\"89371307\", alpha=\"0.03\", expect_size=\"26811392\"] \n  13 [size=\"134444373\", alpha=\"0.13\", expect_size=\"40333312\"] \n  14 [size=\"162416640\", alpha=\"0.19\", expect_size=\"48724992\"] \n  15 [size=\"75537067\", alpha=\"0.03\", expect_size=\"22661120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102130347\", alpha=\"0.04\", expect_size=\"30639104\"] \n  2 [size=\"149046613\", alpha=\"0.16\", expect_size=\"44713984\"] \n  3 [size=\"142066347\", alpha=\"0.07\", expect_size=\"42619904\"] \n  3 -> 13 [size =\"42619904\"]\n  4 [size=\"98566827\", alpha=\"0.03\", expect_size=\"29570048\"] \n  5 [size=\"42100053\", alpha=\"0.06\", expect_size=\"12630016\"] \n  6 [size=\"97792000\", alpha=\"0.17\", expect_size=\"29337600\"] \n  7 [size=\"34027520\", alpha=\"0.02\", expect_size=\"10208256\"] \n  8 [size=\"94276267\", alpha=\"0.17\", expect_size=\"28282880\"] \n  8 -> 14 [size =\"28282880\"]\n  9 [size=\"65167360\", alpha=\"0.11\", expect_size=\"19550208\"] \n  9 -> 15 [size =\"19550208\"]\n  10 [size=\"166621867\", alpha=\"0.07\", expect_size=\"49986560\"] \n  11 [size=\"106786133\", alpha=\"0.05\", expect_size=\"32035840\"] \n  11 -> 15 [size =\"32035840\"]\n  12 [size=\"139438080\", alpha=\"0.01\", expect_size=\"41831424\"] \n  13 [size=\"108148053\", alpha=\"0.11\", expect_size=\"32444416\"] \n  14 [size=\"165317973\", alpha=\"0.19\", expect_size=\"49595392\"] \n  15 [size=\"33334613\", alpha=\"0.06\", expect_size=\"10000384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13002752\", alpha=\"0.14\", expect_size=\"6501376\"] \n  1 -> 2 [size =\"6501376\"]\n  1 -> 3 [size =\"6501376\"]\n  2 [size=\"94666752\", alpha=\"0.15\", expect_size=\"47333376\"] \n  2 -> 4 [size =\"47333376\"]\n  3 [size=\"61208576\", alpha=\"0.03\", expect_size=\"30604288\"] \n  3 -> 4 [size =\"30604288\"]\n  4 [size=\"22859776\", alpha=\"0.19\", expect_size=\"11429888\"] \n  4 -> 5 [size =\"11429888\"]\n  5 [size=\"46493696\", alpha=\"0.08\", expect_size=\"23246848\"] \n  5 -> 6 [size =\"23246848\"]\n  6 [size=\"78309376\", alpha=\"0.10\", expect_size=\"39154688\"] \n  6 -> 7 [size =\"39154688\"]\n  7 [size=\"84660224\", alpha=\"0.05\", expect_size=\"42330112\"] \n  7 -> 8 [size =\"42330112\"]\n  7 -> 9 [size =\"42330112\"]\n  8 [size=\"17010688\", alpha=\"0.09\", expect_size=\"8505344\"] \n  8 -> 10 [size =\"8505344\"]\n  9 [size=\"28772352\", alpha=\"0.18\", expect_size=\"14386176\"] \n  9 -> 10 [size =\"14386176\"]\n  10 [size=\"17084416\", alpha=\"0.04\", expect_size=\"8542208\"] \n  10 -> 11 [size =\"8542208\"]\n  10 -> 12 [size =\"8542208\"]\n  11 [size=\"74975232\", alpha=\"0.04\", expect_size=\"37487616\"] \n  11 -> 13 [size =\"37487616\"]\n  12 [size=\"48607232\", alpha=\"0.07\", expect_size=\"24303616\"] \n  12 -> 13 [size =\"24303616\"]\n  13 [size=\"23117824\", alpha=\"0.16\", expect_size=\"11558912\"] \n  13 -> 14 [size =\"11558912\"]\n  14 [size=\"35631104\", alpha=\"0.06\", expect_size=\"17815552\"] \n  14 -> 15 [size =\"17815552\"]\n  15 [size=\"29605888\", alpha=\"0.09\", expect_size=\"14802944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12556288\", alpha=\"0.01\", expect_size=\"6278144\"] \n  1 -> 6 [size =\"6278144\"]\n  1 -> 8 [size =\"6278144\"]\n  2 [size=\"29026304\", alpha=\"0.20\", expect_size=\"14513152\"] \n  2 -> 7 [size =\"14513152\"]\n  2 -> 9 [size =\"14513152\"]\n  2 -> 10 [size =\"14513152\"]\n  3 [size=\"51589120\", alpha=\"0.09\", expect_size=\"25794560\"] \n  3 -> 6 [size =\"25794560\"]\n  3 -> 9 [size =\"25794560\"]\n  4 [size=\"88926208\", alpha=\"0.14\", expect_size=\"44463104\"] \n  4 -> 6 [size =\"44463104\"]\n  4 -> 7 [size =\"44463104\"]\n  4 -> 8 [size =\"44463104\"]\n  4 -> 9 [size =\"44463104\"]\n  4 -> 10 [size =\"44463104\"]\n  5 [size=\"40056832\", alpha=\"0.05\", expect_size=\"20028416\"] \n  5 -> 6 [size =\"20028416\"]\n  5 -> 7 [size =\"20028416\"]\n  5 -> 9 [size =\"20028416\"]\n  5 -> 10 [size =\"20028416\"]\n  5 -> 10 [size =\"20028416\"]\n  6 [size=\"97892352\", alpha=\"0.05\", expect_size=\"48946176\"] \n  6 -> 13 [size =\"48946176\"]\n  7 [size=\"80510976\", alpha=\"0.14\", expect_size=\"40255488\"] \n  7 -> 13 [size =\"40255488\"]\n  7 -> 14 [size =\"40255488\"]\n  8 [size=\"90064896\", alpha=\"0.17\", expect_size=\"45032448\"] \n  8 -> 11 [size =\"45032448\"]\n  8 -> 12 [size =\"45032448\"]\n  8 -> 15 [size =\"45032448\"]\n  9 [size=\"68253696\", alpha=\"0.02\", expect_size=\"34126848\"] \n  9 -> 15 [size =\"34126848\"]\n  10 [size=\"59582464\", alpha=\"0.04\", expect_size=\"29791232\"] \n  10 -> 11 [size =\"29791232\"]\n  10 -> 12 [size =\"29791232\"]\n  11 [size=\"49012736\", alpha=\"0.05\", expect_size=\"24506368\"] \n  12 [size=\"55203840\", alpha=\"0.16\", expect_size=\"27601920\"] \n  13 [size=\"53899264\", alpha=\"0.13\", expect_size=\"26949632\"] \n  14 [size=\"95045632\", alpha=\"0.15\", expect_size=\"47522816\"] \n  15 [size=\"66942976\", alpha=\"0.15\", expect_size=\"33471488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32604160\", alpha=\"0.00\", expect_size=\"13041664\"] \n  1 -> 7 [size =\"13041664\"]\n  1 -> 10 [size =\"13041664\"]\n  1 -> 11 [size =\"13041664\"]\n  1 -> 12 [size =\"13041664\"]\n  2 [size=\"62927360\", alpha=\"0.12\", expect_size=\"25170944\"] \n  2 -> 9 [size =\"25170944\"]\n  2 -> 11 [size =\"25170944\"]\n  2 -> 12 [size =\"25170944\"]\n  3 [size=\"26035200\", alpha=\"0.05\", expect_size=\"10414080\"] \n  3 -> 9 [size =\"10414080\"]\n  4 [size=\"88563200\", alpha=\"0.14\", expect_size=\"35425280\"] \n  4 -> 9 [size =\"35425280\"]\n  4 -> 12 [size =\"35425280\"]\n  5 [size=\"100392960\", alpha=\"0.16\", expect_size=\"40157184\"] \n  5 -> 8 [size =\"40157184\"]\n  5 -> 9 [size =\"40157184\"]\n  5 -> 12 [size =\"40157184\"]\n  6 [size=\"110062080\", alpha=\"0.19\", expect_size=\"44024832\"] \n  6 -> 12 [size =\"44024832\"]\n  7 [size=\"114808320\", alpha=\"0.09\", expect_size=\"45923328\"] \n  8 [size=\"109496320\", alpha=\"0.06\", expect_size=\"43798528\"] \n  8 -> 13 [size =\"43798528\"]\n  8 -> 14 [size =\"43798528\"]\n  9 [size=\"74626560\", alpha=\"0.15\", expect_size=\"29850624\"] \n  9 -> 13 [size =\"29850624\"]\n  9 -> 14 [size =\"29850624\"]\n  9 -> 15 [size =\"29850624\"]\n  10 [size=\"45578240\", alpha=\"0.14\", expect_size=\"18231296\"] \n  11 [size=\"104430080\", alpha=\"0.03\", expect_size=\"41772032\"] \n  11 -> 13 [size =\"41772032\"]\n  12 [size=\"106099200\", alpha=\"0.16\", expect_size=\"42439680\"] \n  12 -> 13 [size =\"42439680\"]\n  12 -> 15 [size =\"42439680\"]\n  13 [size=\"59571200\", alpha=\"0.13\", expect_size=\"23828480\"] \n  14 [size=\"91427840\", alpha=\"0.07\", expect_size=\"36571136\"] \n  15 [size=\"55782400\", alpha=\"0.15\", expect_size=\"22312960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84131840\", alpha=\"0.16\", expect_size=\"33652736\"] \n  1 -> 14 [size =\"33652736\"]\n  2 [size=\"125537280\", alpha=\"0.05\", expect_size=\"50214912\"] \n  2 -> 11 [size =\"50214912\"]\n  2 -> 15 [size =\"50214912\"]\n  3 [size=\"97233920\", alpha=\"0.08\", expect_size=\"38893568\"] \n  3 -> 14 [size =\"38893568\"]\n  3 -> 15 [size =\"38893568\"]\n  4 [size=\"82659840\", alpha=\"0.06\", expect_size=\"33063936\"] \n  4 -> 13 [size =\"33063936\"]\n  4 -> 14 [size =\"33063936\"]\n  5 [size=\"33853440\", alpha=\"0.05\", expect_size=\"13541376\"] \n  5 -> 13 [size =\"13541376\"]\n  5 -> 14 [size =\"13541376\"]\n  5 -> 15 [size =\"13541376\"]\n  6 [size=\"110100480\", alpha=\"0.09\", expect_size=\"44040192\"] \n  6 -> 11 [size =\"44040192\"]\n  6 -> 12 [size =\"44040192\"]\n  6 -> 13 [size =\"44040192\"]\n  6 -> 14 [size =\"44040192\"]\n  6 -> 15 [size =\"44040192\"]\n  7 [size=\"80911360\", alpha=\"0.04\", expect_size=\"32364544\"] \n  7 -> 11 [size =\"32364544\"]\n  7 -> 12 [size =\"32364544\"]\n  7 -> 13 [size =\"32364544\"]\n  8 [size=\"33459200\", alpha=\"0.01\", expect_size=\"13383680\"] \n  8 -> 13 [size =\"13383680\"]\n  8 -> 14 [size =\"13383680\"]\n  9 [size=\"35284480\", alpha=\"0.03\", expect_size=\"14113792\"] \n  9 -> 11 [size =\"14113792\"]\n  9 -> 12 [size =\"14113792\"]\n  9 -> 13 [size =\"14113792\"]\n  9 -> 14 [size =\"14113792\"]\n  10 [size=\"57556480\", alpha=\"0.11\", expect_size=\"23022592\"] \n  10 -> 13 [size =\"23022592\"]\n  10 -> 14 [size =\"23022592\"]\n  11 [size=\"27709440\", alpha=\"0.17\", expect_size=\"11083776\"] \n  12 [size=\"123194880\", alpha=\"0.10\", expect_size=\"49277952\"] \n  13 [size=\"33269760\", alpha=\"0.06\", expect_size=\"13307904\"] \n  14 [size=\"77757440\", alpha=\"0.05\", expect_size=\"31102976\"] \n  15 [size=\"115069440\", alpha=\"0.08\", expect_size=\"46027776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119633920\", alpha=\"0.18\", expect_size=\"47853568\"] \n  1 -> 2 [size =\"47853568\"]\n  1 -> 3 [size =\"47853568\"]\n  2 [size=\"89420800\", alpha=\"0.02\", expect_size=\"35768320\"] \n  2 -> 4 [size =\"35768320\"]\n  3 [size=\"111777280\", alpha=\"0.05\", expect_size=\"44710912\"] \n  4 [size=\"37009920\", alpha=\"0.02\", expect_size=\"14803968\"] \n  4 -> 5 [size =\"14803968\"]\n  4 -> 6 [size =\"14803968\"]\n  5 [size=\"118666240\", alpha=\"0.10\", expect_size=\"47466496\"] \n  5 -> 7 [size =\"47466496\"]\n  6 [size=\"81989120\", alpha=\"0.16\", expect_size=\"32795648\"] \n  6 -> 8 [size =\"32795648\"]\n  7 [size=\"128296960\", alpha=\"0.18\", expect_size=\"51318784\"] \n  8 [size=\"77312000\", alpha=\"0.17\", expect_size=\"30924800\"] \n  8 -> 9 [size =\"30924800\"]\n  9 [size=\"38512640\", alpha=\"0.04\", expect_size=\"15405056\"] \n  9 -> 10 [size =\"15405056\"]\n  10 [size=\"76257280\", alpha=\"0.03\", expect_size=\"30502912\"] \n  10 -> 11 [size =\"30502912\"]\n  11 [size=\"121868800\", alpha=\"0.18\", expect_size=\"48747520\"] \n  11 -> 12 [size =\"48747520\"]\n  12 [size=\"111070720\", alpha=\"0.09\", expect_size=\"44428288\"] \n  12 -> 13 [size =\"44428288\"]\n  12 -> 14 [size =\"44428288\"]\n  13 [size=\"122283520\", alpha=\"0.11\", expect_size=\"48913408\"] \n  14 [size=\"32094720\", alpha=\"0.02\", expect_size=\"12837888\"] \n  14 -> 15 [size =\"12837888\"]\n  15 [size=\"42790400\", alpha=\"0.16\", expect_size=\"17116160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65280000\", alpha=\"0.09\", expect_size=\"32640000\"] \n  1 -> 3 [size =\"32640000\"]\n  1 -> 4 [size =\"32640000\"]\n  2 [size=\"67885056\", alpha=\"0.05\", expect_size=\"33942528\"] \n  2 -> 5 [size =\"33942528\"]\n  3 [size=\"61091840\", alpha=\"0.03\", expect_size=\"30545920\"] \n  3 -> 6 [size =\"30545920\"]\n  3 -> 7 [size =\"30545920\"]\n  3 -> 8 [size =\"30545920\"]\n  4 [size=\"103368704\", alpha=\"0.17\", expect_size=\"51684352\"] \n  4 -> 6 [size =\"51684352\"]\n  5 [size=\"54384640\", alpha=\"0.07\", expect_size=\"27192320\"] \n  5 -> 8 [size =\"27192320\"]\n  6 [size=\"73564160\", alpha=\"0.03\", expect_size=\"36782080\"] \n  7 [size=\"73879552\", alpha=\"0.00\", expect_size=\"36939776\"] \n  7 -> 10 [size =\"36939776\"]\n  8 [size=\"73418752\", alpha=\"0.12\", expect_size=\"36709376\"] \n  8 -> 9 [size =\"36709376\"]\n  9 [size=\"51820544\", alpha=\"0.10\", expect_size=\"25910272\"] \n  9 -> 11 [size =\"25910272\"]\n  9 -> 12 [size =\"25910272\"]\n  10 [size=\"33667072\", alpha=\"0.01\", expect_size=\"16833536\"] \n  10 -> 13 [size =\"16833536\"]\n  11 [size=\"17672192\", alpha=\"0.19\", expect_size=\"8836096\"] \n  12 [size=\"58085376\", alpha=\"0.17\", expect_size=\"29042688\"] \n  13 [size=\"79706112\", alpha=\"0.07\", expect_size=\"39853056\"] \n  13 -> 14 [size =\"39853056\"]\n  13 -> 15 [size =\"39853056\"]\n  14 [size=\"92235776\", alpha=\"0.07\", expect_size=\"46117888\"] \n  15 [size=\"79775744\", alpha=\"0.08\", expect_size=\"39887872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38965760\", alpha=\"0.15\", expect_size=\"15586304\"] \n  1 -> 8 [size =\"15586304\"]\n  1 -> 11 [size =\"15586304\"]\n  2 [size=\"107742720\", alpha=\"0.11\", expect_size=\"43097088\"] \n  3 [size=\"104780800\", alpha=\"0.01\", expect_size=\"41912320\"] \n  3 -> 7 [size =\"41912320\"]\n  4 [size=\"53025280\", alpha=\"0.02\", expect_size=\"21210112\"] \n  4 -> 11 [size =\"21210112\"]\n  5 [size=\"119628800\", alpha=\"0.18\", expect_size=\"47851520\"] \n  5 -> 8 [size =\"47851520\"]\n  5 -> 9 [size =\"47851520\"]\n  5 -> 10 [size =\"47851520\"]\n  6 [size=\"113515520\", alpha=\"0.20\", expect_size=\"45406208\"] \n  6 -> 10 [size =\"45406208\"]\n  7 [size=\"45719040\", alpha=\"0.08\", expect_size=\"18287616\"] \n  7 -> 14 [size =\"18287616\"]\n  8 [size=\"87485440\", alpha=\"0.19\", expect_size=\"34994176\"] \n  8 -> 14 [size =\"34994176\"]\n  8 -> 15 [size =\"34994176\"]\n  9 [size=\"19880960\", alpha=\"0.15\", expect_size=\"7952384\"] \n  9 -> 12 [size =\"7952384\"]\n  10 [size=\"92080640\", alpha=\"0.19\", expect_size=\"36832256\"] \n  10 -> 12 [size =\"36832256\"]\n  10 -> 15 [size =\"36832256\"]\n  11 [size=\"22799360\", alpha=\"0.07\", expect_size=\"9119744\"] \n  11 -> 12 [size =\"9119744\"]\n  11 -> 13 [size =\"9119744\"]\n  11 -> 15 [size =\"9119744\"]\n  12 [size=\"113845760\", alpha=\"0.17\", expect_size=\"45538304\"] \n  13 [size=\"59438080\", alpha=\"0.06\", expect_size=\"23775232\"] \n  14 [size=\"65610240\", alpha=\"0.18\", expect_size=\"26244096\"] \n  15 [size=\"79198720\", alpha=\"0.04\", expect_size=\"31679488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146066773\", alpha=\"0.18\", expect_size=\"43820032\"] \n  1 -> 2 [size =\"43820032\"]\n  2 [size=\"132594347\", alpha=\"0.13\", expect_size=\"39778304\"] \n  2 -> 3 [size =\"39778304\"]\n  3 [size=\"76922880\", alpha=\"0.02\", expect_size=\"23076864\"] \n  3 -> 4 [size =\"23076864\"]\n  4 [size=\"30252373\", alpha=\"0.07\", expect_size=\"9075712\"] \n  4 -> 5 [size =\"9075712\"]\n  5 [size=\"86377813\", alpha=\"0.07\", expect_size=\"25913344\"] \n  5 -> 6 [size =\"25913344\"]\n  6 [size=\"78646613\", alpha=\"0.18\", expect_size=\"23593984\"] \n  6 -> 7 [size =\"23593984\"]\n  7 [size=\"159682560\", alpha=\"0.13\", expect_size=\"47904768\"] \n  7 -> 8 [size =\"47904768\"]\n  8 [size=\"114104320\", alpha=\"0.15\", expect_size=\"34231296\"] \n  8 -> 9 [size =\"34231296\"]\n  9 [size=\"58412373\", alpha=\"0.04\", expect_size=\"17523712\"] \n  9 -> 10 [size =\"17523712\"]\n  10 [size=\"38219093\", alpha=\"0.18\", expect_size=\"11465728\"] \n  10 -> 11 [size =\"11465728\"]\n  11 [size=\"131512320\", alpha=\"0.12\", expect_size=\"39453696\"] \n  11 -> 12 [size =\"39453696\"]\n  12 [size=\"118603093\", alpha=\"0.06\", expect_size=\"35580928\"] \n  12 -> 13 [size =\"35580928\"]\n  13 [size=\"60682240\", alpha=\"0.12\", expect_size=\"18204672\"] \n  13 -> 14 [size =\"18204672\"]\n  14 [size=\"78834347\", alpha=\"0.19\", expect_size=\"23650304\"] \n  14 -> 15 [size =\"23650304\"]\n  15 [size=\"131515733\", alpha=\"0.06\", expect_size=\"39454720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41183232\", alpha=\"0.05\", expect_size=\"20591616\"] \n  1 -> 2 [size =\"20591616\"]\n  2 [size=\"15302656\", alpha=\"0.13\", expect_size=\"7651328\"] \n  2 -> 3 [size =\"7651328\"]\n  3 [size=\"13692928\", alpha=\"0.10\", expect_size=\"6846464\"] \n  3 -> 4 [size =\"6846464\"]\n  4 [size=\"31031296\", alpha=\"0.01\", expect_size=\"15515648\"] \n  4 -> 5 [size =\"15515648\"]\n  5 [size=\"89028608\", alpha=\"0.17\", expect_size=\"44514304\"] \n  5 -> 6 [size =\"44514304\"]\n  5 -> 7 [size =\"44514304\"]\n  6 [size=\"64012288\", alpha=\"0.03\", expect_size=\"32006144\"] \n  6 -> 8 [size =\"32006144\"]\n  7 [size=\"13430784\", alpha=\"0.05\", expect_size=\"6715392\"] \n  7 -> 8 [size =\"6715392\"]\n  8 [size=\"13535232\", alpha=\"0.18\", expect_size=\"6767616\"] \n  8 -> 9 [size =\"6767616\"]\n  9 [size=\"36931584\", alpha=\"0.14\", expect_size=\"18465792\"] \n  9 -> 10 [size =\"18465792\"]\n  9 -> 11 [size =\"18465792\"]\n  10 [size=\"48027648\", alpha=\"0.18\", expect_size=\"24013824\"] \n  10 -> 12 [size =\"24013824\"]\n  11 [size=\"42891264\", alpha=\"0.19\", expect_size=\"21445632\"] \n  11 -> 12 [size =\"21445632\"]\n  12 [size=\"65890304\", alpha=\"0.08\", expect_size=\"32945152\"] \n  12 -> 13 [size =\"32945152\"]\n  13 [size=\"30654464\", alpha=\"0.14\", expect_size=\"15327232\"] \n  13 -> 14 [size =\"15327232\"]\n  14 [size=\"77496320\", alpha=\"0.02\", expect_size=\"38748160\"] \n  14 -> 15 [size =\"38748160\"]\n  15 [size=\"82440192\", alpha=\"0.07\", expect_size=\"41220096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123002880\", alpha=\"0.10\", expect_size=\"36900864\"] \n  1 -> 2 [size =\"36900864\"]\n  2 [size=\"99659093\", alpha=\"0.19\", expect_size=\"29897728\"] \n  2 -> 3 [size =\"29897728\"]\n  3 [size=\"35717120\", alpha=\"0.02\", expect_size=\"10715136\"] \n  3 -> 4 [size =\"10715136\"]\n  4 [size=\"21346987\", alpha=\"0.04\", expect_size=\"6404096\"] \n  4 -> 5 [size =\"6404096\"]\n  5 [size=\"56726187\", alpha=\"0.13\", expect_size=\"17017856\"] \n  5 -> 6 [size =\"17017856\"]\n  6 [size=\"78452053\", alpha=\"0.07\", expect_size=\"23535616\"] \n  6 -> 7 [size =\"23535616\"]\n  7 [size=\"36259840\", alpha=\"0.17\", expect_size=\"10877952\"] \n  7 -> 8 [size =\"10877952\"]\n  8 [size=\"130696533\", alpha=\"0.02\", expect_size=\"39208960\"] \n  8 -> 9 [size =\"39208960\"]\n  9 [size=\"32552960\", alpha=\"0.02\", expect_size=\"9765888\"] \n  9 -> 10 [size =\"9765888\"]\n  10 [size=\"115715413\", alpha=\"0.01\", expect_size=\"34714624\"] \n  10 -> 11 [size =\"34714624\"]\n  11 [size=\"126846293\", alpha=\"0.19\", expect_size=\"38053888\"] \n  11 -> 12 [size =\"38053888\"]\n  12 [size=\"46346240\", alpha=\"0.06\", expect_size=\"13903872\"] \n  12 -> 13 [size =\"13903872\"]\n  13 [size=\"36399787\", alpha=\"0.09\", expect_size=\"10919936\"] \n  13 -> 14 [size =\"10919936\"]\n  14 [size=\"55002453\", alpha=\"0.05\", expect_size=\"16500736\"] \n  14 -> 15 [size =\"16500736\"]\n  15 [size=\"85800960\", alpha=\"0.10\", expect_size=\"25740288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47894528\", alpha=\"0.00\", expect_size=\"23947264\"] \n  1 -> 6 [size =\"23947264\"]\n  1 -> 7 [size =\"23947264\"]\n  1 -> 8 [size =\"23947264\"]\n  1 -> 12 [size =\"23947264\"]\n  2 [size=\"46714880\", alpha=\"0.04\", expect_size=\"23357440\"] \n  2 -> 6 [size =\"23357440\"]\n  2 -> 11 [size =\"23357440\"]\n  3 [size=\"32260096\", alpha=\"0.00\", expect_size=\"16130048\"] \n  3 -> 10 [size =\"16130048\"]\n  3 -> 13 [size =\"16130048\"]\n  4 [size=\"69234688\", alpha=\"0.13\", expect_size=\"34617344\"] \n  4 -> 12 [size =\"34617344\"]\n  4 -> 13 [size =\"34617344\"]\n  5 [size=\"81074176\", alpha=\"0.16\", expect_size=\"40537088\"] \n  5 -> 8 [size =\"40537088\"]\n  5 -> 9 [size =\"40537088\"]\n  5 -> 11 [size =\"40537088\"]\n  5 -> 12 [size =\"40537088\"]\n  6 [size=\"84985856\", alpha=\"0.17\", expect_size=\"42492928\"] \n  6 -> 14 [size =\"42492928\"]\n  6 -> 15 [size =\"42492928\"]\n  7 [size=\"12554240\", alpha=\"0.02\", expect_size=\"6277120\"] \n  7 -> 15 [size =\"6277120\"]\n  8 [size=\"68030464\", alpha=\"0.19\", expect_size=\"34015232\"] \n  8 -> 15 [size =\"34015232\"]\n  9 [size=\"91289600\", alpha=\"0.08\", expect_size=\"45644800\"] \n  9 -> 15 [size =\"45644800\"]\n  10 [size=\"13375488\", alpha=\"0.06\", expect_size=\"6687744\"] \n  11 [size=\"56047616\", alpha=\"0.16\", expect_size=\"28023808\"] \n  12 [size=\"56631296\", alpha=\"0.10\", expect_size=\"28315648\"] \n  13 [size=\"77131776\", alpha=\"0.18\", expect_size=\"38565888\"] \n  13 -> 14 [size =\"38565888\"]\n  14 [size=\"78221312\", alpha=\"0.04\", expect_size=\"39110656\"] \n  15 [size=\"44597248\", alpha=\"0.11\", expect_size=\"22298624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18872320\", alpha=\"0.10\", expect_size=\"9436160\"] \n  1 -> 2 [size =\"9436160\"]\n  2 [size=\"96133120\", alpha=\"0.12\", expect_size=\"48066560\"] \n  2 -> 3 [size =\"48066560\"]\n  3 [size=\"31524864\", alpha=\"0.17\", expect_size=\"15762432\"] \n  3 -> 4 [size =\"15762432\"]\n  4 [size=\"55994368\", alpha=\"0.02\", expect_size=\"27997184\"] \n  4 -> 5 [size =\"27997184\"]\n  5 [size=\"70782976\", alpha=\"0.05\", expect_size=\"35391488\"] \n  5 -> 6 [size =\"35391488\"]\n  6 [size=\"68816896\", alpha=\"0.06\", expect_size=\"34408448\"] \n  6 -> 7 [size =\"34408448\"]\n  7 [size=\"53440512\", alpha=\"0.03\", expect_size=\"26720256\"] \n  7 -> 8 [size =\"26720256\"]\n  8 [size=\"104609792\", alpha=\"0.01\", expect_size=\"52304896\"] \n  8 -> 9 [size =\"52304896\"]\n  9 [size=\"56223744\", alpha=\"0.01\", expect_size=\"28111872\"] \n  9 -> 10 [size =\"28111872\"]\n  10 [size=\"42354688\", alpha=\"0.02\", expect_size=\"21177344\"] \n  10 -> 11 [size =\"21177344\"]\n  11 [size=\"47519744\", alpha=\"0.17\", expect_size=\"23759872\"] \n  11 -> 12 [size =\"23759872\"]\n  12 [size=\"96385024\", alpha=\"0.01\", expect_size=\"48192512\"] \n  12 -> 13 [size =\"48192512\"]\n  13 [size=\"57024512\", alpha=\"0.12\", expect_size=\"28512256\"] \n  13 -> 14 [size =\"28512256\"]\n  14 [size=\"44036096\", alpha=\"0.17\", expect_size=\"22018048\"] \n  14 -> 15 [size =\"22018048\"]\n  15 [size=\"55140352\", alpha=\"0.06\", expect_size=\"27570176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99424256\", alpha=\"0.05\", expect_size=\"49712128\"] \n  1 -> 13 [size =\"49712128\"]\n  1 -> 15 [size =\"49712128\"]\n  2 [size=\"56147968\", alpha=\"0.19\", expect_size=\"28073984\"] \n  2 -> 14 [size =\"28073984\"]\n  3 [size=\"19752960\", alpha=\"0.00\", expect_size=\"9876480\"] \n  3 -> 13 [size =\"9876480\"]\n  4 [size=\"27158528\", alpha=\"0.13\", expect_size=\"13579264\"] \n  5 [size=\"61224960\", alpha=\"0.13\", expect_size=\"30612480\"] \n  5 -> 14 [size =\"30612480\"]\n  5 -> 15 [size =\"30612480\"]\n  6 [size=\"14811136\", alpha=\"0.10\", expect_size=\"7405568\"] \n  6 -> 14 [size =\"7405568\"]\n  6 -> 15 [size =\"7405568\"]\n  7 [size=\"79089664\", alpha=\"0.19\", expect_size=\"39544832\"] \n  8 [size=\"67450880\", alpha=\"0.04\", expect_size=\"33725440\"] \n  8 -> 14 [size =\"33725440\"]\n  8 -> 15 [size =\"33725440\"]\n  9 [size=\"61057024\", alpha=\"0.03\", expect_size=\"30528512\"] \n  9 -> 15 [size =\"30528512\"]\n  10 [size=\"94279680\", alpha=\"0.15\", expect_size=\"47139840\"] \n  10 -> 13 [size =\"47139840\"]\n  10 -> 14 [size =\"47139840\"]\n  11 [size=\"80476160\", alpha=\"0.04\", expect_size=\"40238080\"] \n  11 -> 15 [size =\"40238080\"]\n  12 [size=\"104155136\", alpha=\"0.12\", expect_size=\"52077568\"] \n  12 -> 13 [size =\"52077568\"]\n  13 [size=\"99854336\", alpha=\"0.15\", expect_size=\"49927168\"] \n  14 [size=\"102139904\", alpha=\"0.02\", expect_size=\"51069952\"] \n  15 [size=\"68116480\", alpha=\"0.02\", expect_size=\"34058240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84654080\", alpha=\"0.11\", expect_size=\"25396224\"] \n  1 -> 2 [size =\"25396224\"]\n  2 [size=\"45769387\", alpha=\"0.17\", expect_size=\"13730816\"] \n  2 -> 3 [size =\"13730816\"]\n  3 [size=\"86514347\", alpha=\"0.07\", expect_size=\"25954304\"] \n  3 -> 4 [size =\"25954304\"]\n  4 [size=\"158887253\", alpha=\"0.19\", expect_size=\"47666176\"] \n  4 -> 5 [size =\"47666176\"]\n  5 [size=\"83292160\", alpha=\"0.00\", expect_size=\"24987648\"] \n  5 -> 6 [size =\"24987648\"]\n  6 [size=\"29808640\", alpha=\"0.14\", expect_size=\"8942592\"] \n  6 -> 7 [size =\"8942592\"]\n  7 [size=\"115657387\", alpha=\"0.16\", expect_size=\"34697216\"] \n  7 -> 8 [size =\"34697216\"]\n  8 [size=\"103574187\", alpha=\"0.17\", expect_size=\"31072256\"] \n  8 -> 9 [size =\"31072256\"]\n  9 [size=\"57388373\", alpha=\"0.08\", expect_size=\"17216512\"] \n  9 -> 10 [size =\"17216512\"]\n  10 [size=\"135567360\", alpha=\"0.13\", expect_size=\"40670208\"] \n  10 -> 11 [size =\"40670208\"]\n  11 [size=\"59569493\", alpha=\"0.13\", expect_size=\"17870848\"] \n  11 -> 12 [size =\"17870848\"]\n  12 [size=\"149159253\", alpha=\"0.09\", expect_size=\"44747776\"] \n  12 -> 13 [size =\"44747776\"]\n  13 [size=\"128095573\", alpha=\"0.16\", expect_size=\"38428672\"] \n  13 -> 14 [size =\"38428672\"]\n  14 [size=\"24193707\", alpha=\"0.10\", expect_size=\"7258112\"] \n  14 -> 15 [size =\"7258112\"]\n  15 [size=\"173301760\", alpha=\"0.16\", expect_size=\"51990528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127324160\", alpha=\"0.00\", expect_size=\"50929664\"] \n  1 -> 2 [size =\"50929664\"]\n  2 [size=\"54584320\", alpha=\"0.02\", expect_size=\"21833728\"] \n  2 -> 3 [size =\"21833728\"]\n  3 [size=\"80714240\", alpha=\"0.00\", expect_size=\"32285696\"] \n  3 -> 4 [size =\"32285696\"]\n  3 -> 5 [size =\"32285696\"]\n  4 [size=\"78702080\", alpha=\"0.02\", expect_size=\"31480832\"] \n  4 -> 6 [size =\"31480832\"]\n  4 -> 7 [size =\"31480832\"]\n  5 [size=\"56660480\", alpha=\"0.08\", expect_size=\"22664192\"] \n  5 -> 6 [size =\"22664192\"]\n  5 -> 7 [size =\"22664192\"]\n  6 [size=\"110213120\", alpha=\"0.13\", expect_size=\"44085248\"] \n  7 [size=\"51745280\", alpha=\"0.13\", expect_size=\"20698112\"] \n  7 -> 8 [size =\"20698112\"]\n  8 [size=\"70041600\", alpha=\"0.13\", expect_size=\"28016640\"] \n  8 -> 9 [size =\"28016640\"]\n  9 [size=\"113643520\", alpha=\"0.16\", expect_size=\"45457408\"] \n  9 -> 10 [size =\"45457408\"]\n  10 [size=\"33789440\", alpha=\"0.07\", expect_size=\"13515776\"] \n  10 -> 11 [size =\"13515776\"]\n  11 [size=\"72442880\", alpha=\"0.14\", expect_size=\"28977152\"] \n  11 -> 12 [size =\"28977152\"]\n  12 [size=\"73395200\", alpha=\"0.11\", expect_size=\"29358080\"] \n  12 -> 13 [size =\"29358080\"]\n  12 -> 14 [size =\"29358080\"]\n  13 [size=\"86085120\", alpha=\"0.05\", expect_size=\"34434048\"] \n  13 -> 15 [size =\"34434048\"]\n  14 [size=\"88663040\", alpha=\"0.10\", expect_size=\"35465216\"] \n  15 [size=\"99806720\", alpha=\"0.13\", expect_size=\"39922688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108939947\", alpha=\"0.15\", expect_size=\"32681984\"] \n  1 -> 2 [size =\"32681984\"]\n  2 [size=\"166949547\", alpha=\"0.05\", expect_size=\"50084864\"] \n  2 -> 3 [size =\"50084864\"]\n  3 [size=\"133048320\", alpha=\"0.19\", expect_size=\"39914496\"] \n  3 -> 4 [size =\"39914496\"]\n  3 -> 5 [size =\"39914496\"]\n  4 [size=\"93201067\", alpha=\"0.03\", expect_size=\"27960320\"] \n  4 -> 7 [size =\"27960320\"]\n  5 [size=\"120978773\", alpha=\"0.16\", expect_size=\"36293632\"] \n  5 -> 6 [size =\"36293632\"]\n  6 [size=\"31941973\", alpha=\"0.14\", expect_size=\"9582592\"] \n  6 -> 9 [size =\"9582592\"]\n  7 [size=\"46943573\", alpha=\"0.01\", expect_size=\"14083072\"] \n  7 -> 8 [size =\"14083072\"]\n  7 -> 9 [size =\"14083072\"]\n  8 [size=\"88855893\", alpha=\"0.06\", expect_size=\"26656768\"] \n  8 -> 10 [size =\"26656768\"]\n  9 [size=\"64457387\", alpha=\"0.02\", expect_size=\"19337216\"] \n  9 -> 10 [size =\"19337216\"]\n  10 [size=\"77571413\", alpha=\"0.11\", expect_size=\"23271424\"] \n  10 -> 11 [size =\"23271424\"]\n  10 -> 12 [size =\"23271424\"]\n  11 [size=\"20599467\", alpha=\"0.04\", expect_size=\"6179840\"] \n  11 -> 13 [size =\"6179840\"]\n  12 [size=\"141182293\", alpha=\"0.14\", expect_size=\"42354688\"] \n  12 -> 13 [size =\"42354688\"]\n  13 [size=\"25763840\", alpha=\"0.07\", expect_size=\"7729152\"] \n  13 -> 14 [size =\"7729152\"]\n  13 -> 15 [size =\"7729152\"]\n  14 [size=\"18599253\", alpha=\"0.00\", expect_size=\"5579776\"] \n  15 [size=\"43612160\", alpha=\"0.17\", expect_size=\"13083648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144902827\", alpha=\"0.20\", expect_size=\"43470848\"] \n  1 -> 2 [size =\"43470848\"]\n  1 -> 3 [size =\"43470848\"]\n  2 [size=\"107560960\", alpha=\"0.20\", expect_size=\"32268288\"] \n  2 -> 4 [size =\"32268288\"]\n  2 -> 5 [size =\"32268288\"]\n  3 [size=\"125917867\", alpha=\"0.13\", expect_size=\"37775360\"] \n  3 -> 4 [size =\"37775360\"]\n  3 -> 5 [size =\"37775360\"]\n  4 [size=\"150463147\", alpha=\"0.16\", expect_size=\"45138944\"] \n  4 -> 6 [size =\"45138944\"]\n  4 -> 7 [size =\"45138944\"]\n  5 [size=\"139025067\", alpha=\"0.02\", expect_size=\"41707520\"] \n  5 -> 7 [size =\"41707520\"]\n  6 [size=\"62733653\", alpha=\"0.04\", expect_size=\"18820096\"] \n  6 -> 8 [size =\"18820096\"]\n  6 -> 9 [size =\"18820096\"]\n  7 [size=\"34112853\", alpha=\"0.18\", expect_size=\"10233856\"] \n  7 -> 8 [size =\"10233856\"]\n  7 -> 9 [size =\"10233856\"]\n  8 [size=\"142165333\", alpha=\"0.11\", expect_size=\"42649600\"] \n  8 -> 10 [size =\"42649600\"]\n  8 -> 11 [size =\"42649600\"]\n  9 [size=\"121132373\", alpha=\"0.06\", expect_size=\"36339712\"] \n  9 -> 10 [size =\"36339712\"]\n  10 [size=\"82394453\", alpha=\"0.02\", expect_size=\"24718336\"] \n  10 -> 12 [size =\"24718336\"]\n  11 [size=\"168284160\", alpha=\"0.14\", expect_size=\"50485248\"] \n  11 -> 12 [size =\"50485248\"]\n  12 [size=\"164604587\", alpha=\"0.05\", expect_size=\"49381376\"] \n  12 -> 13 [size =\"49381376\"]\n  12 -> 14 [size =\"49381376\"]\n  13 [size=\"160856747\", alpha=\"0.08\", expect_size=\"48257024\"] \n  13 -> 15 [size =\"48257024\"]\n  14 [size=\"108445013\", alpha=\"0.14\", expect_size=\"32533504\"] \n  14 -> 15 [size =\"32533504\"]\n  15 [size=\"79162027\", alpha=\"0.15\", expect_size=\"23748608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80619520\", alpha=\"0.19\", expect_size=\"24185856\"] \n  1 -> 3 [size =\"24185856\"]\n  1 -> 4 [size =\"24185856\"]\n  2 [size=\"35546453\", alpha=\"0.07\", expect_size=\"10663936\"] \n  2 -> 3 [size =\"10663936\"]\n  2 -> 5 [size =\"10663936\"]\n  3 [size=\"41424213\", alpha=\"0.02\", expect_size=\"12427264\"] \n  3 -> 7 [size =\"12427264\"]\n  4 [size=\"167734613\", alpha=\"0.04\", expect_size=\"50320384\"] \n  4 -> 6 [size =\"50320384\"]\n  5 [size=\"36672853\", alpha=\"0.17\", expect_size=\"11001856\"] \n  6 [size=\"90067627\", alpha=\"0.15\", expect_size=\"27020288\"] \n  6 -> 9 [size =\"27020288\"]\n  7 [size=\"17500160\", alpha=\"0.10\", expect_size=\"5250048\"] \n  7 -> 8 [size =\"5250048\"]\n  8 [size=\"24845653\", alpha=\"0.10\", expect_size=\"7453696\"] \n  8 -> 11 [size =\"7453696\"]\n  9 [size=\"55988907\", alpha=\"0.19\", expect_size=\"16796672\"] \n  9 -> 10 [size =\"16796672\"]\n  9 -> 11 [size =\"16796672\"]\n  10 [size=\"75308373\", alpha=\"0.13\", expect_size=\"22592512\"] \n  10 -> 12 [size =\"22592512\"]\n  10 -> 13 [size =\"22592512\"]\n  10 -> 14 [size =\"22592512\"]\n  11 [size=\"79151787\", alpha=\"0.16\", expect_size=\"23745536\"] \n  11 -> 12 [size =\"23745536\"]\n  11 -> 14 [size =\"23745536\"]\n  12 [size=\"74861227\", alpha=\"0.12\", expect_size=\"22458368\"] \n  13 [size=\"132628480\", alpha=\"0.01\", expect_size=\"39788544\"] \n  14 [size=\"148213760\", alpha=\"0.05\", expect_size=\"44464128\"] \n  14 -> 15 [size =\"44464128\"]\n  15 [size=\"25610240\", alpha=\"0.04\", expect_size=\"7683072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81633280\", alpha=\"0.10\", expect_size=\"40816640\"] \n  1 -> 2 [size =\"40816640\"]\n  2 [size=\"87545856\", alpha=\"0.12\", expect_size=\"43772928\"] \n  2 -> 3 [size =\"43772928\"]\n  3 [size=\"52363264\", alpha=\"0.10\", expect_size=\"26181632\"] \n  3 -> 4 [size =\"26181632\"]\n  3 -> 5 [size =\"26181632\"]\n  4 [size=\"92137472\", alpha=\"0.04\", expect_size=\"46068736\"] \n  4 -> 6 [size =\"46068736\"]\n  4 -> 7 [size =\"46068736\"]\n  5 [size=\"53608448\", alpha=\"0.07\", expect_size=\"26804224\"] \n  6 [size=\"32217088\", alpha=\"0.15\", expect_size=\"16108544\"] \n  6 -> 8 [size =\"16108544\"]\n  7 [size=\"71380992\", alpha=\"0.16\", expect_size=\"35690496\"] \n  8 [size=\"49049600\", alpha=\"0.19\", expect_size=\"24524800\"] \n  8 -> 9 [size =\"24524800\"]\n  9 [size=\"72349696\", alpha=\"0.04\", expect_size=\"36174848\"] \n  9 -> 10 [size =\"36174848\"]\n  10 [size=\"85807104\", alpha=\"0.06\", expect_size=\"42903552\"] \n  10 -> 11 [size =\"42903552\"]\n  11 [size=\"101900288\", alpha=\"0.15\", expect_size=\"50950144\"] \n  11 -> 12 [size =\"50950144\"]\n  12 [size=\"56514560\", alpha=\"0.19\", expect_size=\"28257280\"] \n  12 -> 13 [size =\"28257280\"]\n  13 [size=\"19503104\", alpha=\"0.01\", expect_size=\"9751552\"] \n  13 -> 14 [size =\"9751552\"]\n  14 [size=\"64524288\", alpha=\"0.02\", expect_size=\"32262144\"] \n  14 -> 15 [size =\"32262144\"]\n  15 [size=\"82540544\", alpha=\"0.03\", expect_size=\"41270272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68042240\", alpha=\"0.17\", expect_size=\"27216896\"] \n  1 -> 4 [size =\"27216896\"]\n  1 -> 6 [size =\"27216896\"]\n  2 [size=\"108416000\", alpha=\"0.19\", expect_size=\"43366400\"] \n  2 -> 5 [size =\"43366400\"]\n  3 [size=\"127326720\", alpha=\"0.18\", expect_size=\"50930688\"] \n  3 -> 4 [size =\"50930688\"]\n  3 -> 5 [size =\"50930688\"]\n  4 [size=\"64115200\", alpha=\"0.15\", expect_size=\"25646080\"] \n  5 [size=\"70581760\", alpha=\"0.15\", expect_size=\"28232704\"] \n  5 -> 7 [size =\"28232704\"]\n  5 -> 8 [size =\"28232704\"]\n  5 -> 9 [size =\"28232704\"]\n  6 [size=\"81203200\", alpha=\"0.06\", expect_size=\"32481280\"] \n  6 -> 7 [size =\"32481280\"]\n  6 -> 9 [size =\"32481280\"]\n  7 [size=\"88652800\", alpha=\"0.09\", expect_size=\"35461120\"] \n  7 -> 11 [size =\"35461120\"]\n  8 [size=\"42488320\", alpha=\"0.05\", expect_size=\"16995328\"] \n  9 [size=\"66595840\", alpha=\"0.18\", expect_size=\"26638336\"] \n  9 -> 10 [size =\"26638336\"]\n  10 [size=\"28280320\", alpha=\"0.14\", expect_size=\"11312128\"] \n  10 -> 13 [size =\"11312128\"]\n  11 [size=\"36592640\", alpha=\"0.16\", expect_size=\"14637056\"] \n  11 -> 12 [size =\"14637056\"]\n  11 -> 13 [size =\"14637056\"]\n  11 -> 14 [size =\"14637056\"]\n  12 [size=\"21191680\", alpha=\"0.19\", expect_size=\"8476672\"] \n  13 [size=\"13739520\", alpha=\"0.16\", expect_size=\"5495808\"] \n  13 -> 15 [size =\"5495808\"]\n  14 [size=\"121415680\", alpha=\"0.20\", expect_size=\"48566272\"] \n  15 [size=\"90406400\", alpha=\"0.15\", expect_size=\"36162560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125067947\", alpha=\"0.20\", expect_size=\"37520384\"] \n  1 -> 4 [size =\"37520384\"]\n  1 -> 5 [size =\"37520384\"]\n  2 [size=\"46834347\", alpha=\"0.06\", expect_size=\"14050304\"] \n  2 -> 5 [size =\"14050304\"]\n  3 [size=\"171762347\", alpha=\"0.18\", expect_size=\"51528704\"] \n  3 -> 4 [size =\"51528704\"]\n  4 [size=\"106598400\", alpha=\"0.18\", expect_size=\"31979520\"] \n  4 -> 6 [size =\"31979520\"]\n  4 -> 7 [size =\"31979520\"]\n  4 -> 8 [size =\"31979520\"]\n  5 [size=\"114865493\", alpha=\"0.14\", expect_size=\"34459648\"] \n  5 -> 6 [size =\"34459648\"]\n  5 -> 7 [size =\"34459648\"]\n  6 [size=\"50472960\", alpha=\"0.13\", expect_size=\"15141888\"] \n  6 -> 9 [size =\"15141888\"]\n  6 -> 10 [size =\"15141888\"]\n  7 [size=\"82534400\", alpha=\"0.04\", expect_size=\"24760320\"] \n  8 [size=\"119251627\", alpha=\"0.05\", expect_size=\"35775488\"] \n  8 -> 9 [size =\"35775488\"]\n  8 -> 10 [size =\"35775488\"]\n  9 [size=\"96747520\", alpha=\"0.01\", expect_size=\"29024256\"] \n  9 -> 11 [size =\"29024256\"]\n  9 -> 12 [size =\"29024256\"]\n  10 [size=\"105205760\", alpha=\"0.01\", expect_size=\"31561728\"] \n  10 -> 11 [size =\"31561728\"]\n  10 -> 12 [size =\"31561728\"]\n  11 [size=\"58453333\", alpha=\"0.11\", expect_size=\"17536000\"] \n  11 -> 13 [size =\"17536000\"]\n  11 -> 14 [size =\"17536000\"]\n  12 [size=\"57709227\", alpha=\"0.17\", expect_size=\"17312768\"] \n  12 -> 13 [size =\"17312768\"]\n  13 [size=\"103693653\", alpha=\"0.15\", expect_size=\"31108096\"] \n  14 [size=\"84404907\", alpha=\"0.01\", expect_size=\"25321472\"] \n  14 -> 15 [size =\"25321472\"]\n  15 [size=\"69365760\", alpha=\"0.09\", expect_size=\"20809728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110574080\", alpha=\"0.18\", expect_size=\"44229632\"] \n  1 -> 3 [size =\"44229632\"]\n  1 -> 4 [size =\"44229632\"]\n  2 [size=\"85760000\", alpha=\"0.14\", expect_size=\"34304000\"] \n  2 -> 3 [size =\"34304000\"]\n  2 -> 4 [size =\"34304000\"]\n  3 [size=\"111413760\", alpha=\"0.13\", expect_size=\"44565504\"] \n  3 -> 5 [size =\"44565504\"]\n  3 -> 6 [size =\"44565504\"]\n  4 [size=\"127357440\", alpha=\"0.13\", expect_size=\"50942976\"] \n  4 -> 6 [size =\"50942976\"]\n  5 [size=\"53857280\", alpha=\"0.05\", expect_size=\"21542912\"] \n  5 -> 7 [size =\"21542912\"]\n  6 [size=\"113809920\", alpha=\"0.10\", expect_size=\"45523968\"] \n  6 -> 7 [size =\"45523968\"]\n  7 [size=\"15360000\", alpha=\"0.02\", expect_size=\"6144000\"] \n  7 -> 8 [size =\"6144000\"]\n  8 [size=\"96161280\", alpha=\"0.03\", expect_size=\"38464512\"] \n  8 -> 9 [size =\"38464512\"]\n  9 [size=\"22758400\", alpha=\"0.05\", expect_size=\"9103360\"] \n  9 -> 10 [size =\"9103360\"]\n  10 [size=\"55339520\", alpha=\"0.12\", expect_size=\"22135808\"] \n  10 -> 11 [size =\"22135808\"]\n  11 [size=\"44828160\", alpha=\"0.01\", expect_size=\"17931264\"] \n  11 -> 12 [size =\"17931264\"]\n  12 [size=\"35379200\", alpha=\"0.04\", expect_size=\"14151680\"] \n  12 -> 13 [size =\"14151680\"]\n  13 [size=\"116784640\", alpha=\"0.17\", expect_size=\"46713856\"] \n  13 -> 14 [size =\"46713856\"]\n  13 -> 15 [size =\"46713856\"]\n  14 [size=\"78018560\", alpha=\"0.19\", expect_size=\"31207424\"] \n  15 [size=\"34995200\", alpha=\"0.11\", expect_size=\"13998080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126679040\", alpha=\"0.12\", expect_size=\"38003712\"] \n  2 [size=\"28648107\", alpha=\"0.06\", expect_size=\"8594432\"] \n  2 -> 3 [size =\"8594432\"]\n  3 [size=\"161215147\", alpha=\"0.15\", expect_size=\"48364544\"] \n  3 -> 4 [size =\"48364544\"]\n  3 -> 5 [size =\"48364544\"]\n  4 [size=\"162785280\", alpha=\"0.16\", expect_size=\"48835584\"] \n  5 [size=\"32064853\", alpha=\"0.01\", expect_size=\"9619456\"] \n  5 -> 6 [size =\"9619456\"]\n  6 [size=\"150415360\", alpha=\"0.01\", expect_size=\"45124608\"] \n  6 -> 7 [size =\"45124608\"]\n  7 [size=\"143274667\", alpha=\"0.19\", expect_size=\"42982400\"] \n  7 -> 8 [size =\"42982400\"]\n  8 [size=\"75212800\", alpha=\"0.17\", expect_size=\"22563840\"] \n  8 -> 9 [size =\"22563840\"]\n  8 -> 10 [size =\"22563840\"]\n  9 [size=\"104509440\", alpha=\"0.06\", expect_size=\"31352832\"] \n  9 -> 11 [size =\"31352832\"]\n  10 [size=\"91217920\", alpha=\"0.18\", expect_size=\"27365376\"] \n  10 -> 11 [size =\"27365376\"]\n  11 [size=\"36706987\", alpha=\"0.09\", expect_size=\"11012096\"] \n  11 -> 12 [size =\"11012096\"]\n  11 -> 13 [size =\"11012096\"]\n  12 [size=\"128170667\", alpha=\"0.07\", expect_size=\"38451200\"] \n  12 -> 14 [size =\"38451200\"]\n  13 [size=\"172284587\", alpha=\"0.03\", expect_size=\"51685376\"] \n  13 -> 14 [size =\"51685376\"]\n  13 -> 15 [size =\"51685376\"]\n  14 [size=\"136335360\", alpha=\"0.04\", expect_size=\"40900608\"] \n  15 [size=\"106069333\", alpha=\"0.09\", expect_size=\"31820800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41162752\", alpha=\"0.08\", expect_size=\"20581376\"] \n  2 [size=\"23316480\", alpha=\"0.14\", expect_size=\"11658240\"] \n  3 [size=\"87963648\", alpha=\"0.08\", expect_size=\"43981824\"] \n  3 -> 9 [size =\"43981824\"]\n  4 [size=\"93736960\", alpha=\"0.07\", expect_size=\"46868480\"] \n  4 -> 8 [size =\"46868480\"]\n  5 [size=\"29124608\", alpha=\"0.17\", expect_size=\"14562304\"] \n  5 -> 8 [size =\"14562304\"]\n  5 -> 10 [size =\"14562304\"]\n  6 [size=\"72347648\", alpha=\"0.13\", expect_size=\"36173824\"] \n  6 -> 9 [size =\"36173824\"]\n  6 -> 10 [size =\"36173824\"]\n  7 [size=\"96694272\", alpha=\"0.10\", expect_size=\"48347136\"] \n  8 [size=\"13410304\", alpha=\"0.05\", expect_size=\"6705152\"] \n  8 -> 12 [size =\"6705152\"]\n  9 [size=\"98957312\", alpha=\"0.13\", expect_size=\"49478656\"] \n  9 -> 13 [size =\"49478656\"]\n  9 -> 14 [size =\"49478656\"]\n  10 [size=\"26308608\", alpha=\"0.15\", expect_size=\"13154304\"] \n  10 -> 11 [size =\"13154304\"]\n  10 -> 12 [size =\"13154304\"]\n  10 -> 13 [size =\"13154304\"]\n  10 -> 15 [size =\"13154304\"]\n  11 [size=\"25743360\", alpha=\"0.14\", expect_size=\"12871680\"] \n  12 [size=\"63377408\", alpha=\"0.11\", expect_size=\"31688704\"] \n  13 [size=\"35659776\", alpha=\"0.05\", expect_size=\"17829888\"] \n  14 [size=\"74610688\", alpha=\"0.19\", expect_size=\"37305344\"] \n  15 [size=\"14936064\", alpha=\"0.04\", expect_size=\"7468032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86758400\", alpha=\"0.07\", expect_size=\"34703360\"] \n  1 -> 2 [size =\"34703360\"]\n  2 [size=\"19136000\", alpha=\"0.07\", expect_size=\"7654400\"] \n  2 -> 3 [size =\"7654400\"]\n  3 [size=\"75983360\", alpha=\"0.16\", expect_size=\"30393344\"] \n  3 -> 4 [size =\"30393344\"]\n  4 [size=\"13521920\", alpha=\"0.03\", expect_size=\"5408768\"] \n  4 -> 5 [size =\"5408768\"]\n  5 [size=\"112732160\", alpha=\"0.06\", expect_size=\"45092864\"] \n  5 -> 6 [size =\"45092864\"]\n  6 [size=\"62543360\", alpha=\"0.05\", expect_size=\"25017344\"] \n  6 -> 7 [size =\"25017344\"]\n  7 [size=\"15736320\", alpha=\"0.11\", expect_size=\"6294528\"] \n  7 -> 8 [size =\"6294528\"]\n  8 [size=\"115435520\", alpha=\"0.10\", expect_size=\"46174208\"] \n  8 -> 9 [size =\"46174208\"]\n  9 [size=\"35581440\", alpha=\"0.05\", expect_size=\"14232576\"] \n  9 -> 10 [size =\"14232576\"]\n  10 [size=\"64304640\", alpha=\"0.01\", expect_size=\"25721856\"] \n  10 -> 11 [size =\"25721856\"]\n  11 [size=\"47708160\", alpha=\"0.03\", expect_size=\"19083264\"] \n  11 -> 12 [size =\"19083264\"]\n  12 [size=\"91066880\", alpha=\"0.15\", expect_size=\"36426752\"] \n  12 -> 13 [size =\"36426752\"]\n  13 [size=\"129809920\", alpha=\"0.13\", expect_size=\"51923968\"] \n  13 -> 14 [size =\"51923968\"]\n  14 [size=\"103838720\", alpha=\"0.19\", expect_size=\"41535488\"] \n  14 -> 15 [size =\"41535488\"]\n  15 [size=\"123251200\", alpha=\"0.12\", expect_size=\"49300480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60903424\", alpha=\"0.18\", expect_size=\"30451712\"] \n  1 -> 2 [size =\"30451712\"]\n  2 [size=\"50728960\", alpha=\"0.09\", expect_size=\"25364480\"] \n  2 -> 3 [size =\"25364480\"]\n  3 [size=\"69773312\", alpha=\"0.10\", expect_size=\"34886656\"] \n  3 -> 4 [size =\"34886656\"]\n  4 [size=\"99846144\", alpha=\"0.01\", expect_size=\"49923072\"] \n  4 -> 5 [size =\"49923072\"]\n  5 [size=\"78114816\", alpha=\"0.18\", expect_size=\"39057408\"] \n  5 -> 6 [size =\"39057408\"]\n  6 [size=\"22607872\", alpha=\"0.04\", expect_size=\"11303936\"] \n  6 -> 7 [size =\"11303936\"]\n  7 [size=\"41857024\", alpha=\"0.17\", expect_size=\"20928512\"] \n  7 -> 8 [size =\"20928512\"]\n  8 [size=\"21225472\", alpha=\"0.18\", expect_size=\"10612736\"] \n  8 -> 9 [size =\"10612736\"]\n  9 [size=\"14387200\", alpha=\"0.03\", expect_size=\"7193600\"] \n  9 -> 10 [size =\"7193600\"]\n  10 [size=\"67192832\", alpha=\"0.00\", expect_size=\"33596416\"] \n  10 -> 11 [size =\"33596416\"]\n  11 [size=\"51460096\", alpha=\"0.00\", expect_size=\"25730048\"] \n  11 -> 12 [size =\"25730048\"]\n  12 [size=\"40613888\", alpha=\"0.18\", expect_size=\"20306944\"] \n  12 -> 13 [size =\"20306944\"]\n  13 [size=\"84029440\", alpha=\"0.04\", expect_size=\"42014720\"] \n  13 -> 14 [size =\"42014720\"]\n  14 [size=\"37447680\", alpha=\"0.18\", expect_size=\"18723840\"] \n  14 -> 15 [size =\"18723840\"]\n  15 [size=\"43622400\", alpha=\"0.05\", expect_size=\"21811200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116441600\", alpha=\"0.20\", expect_size=\"46576640\"] \n  1 -> 2 [size =\"46576640\"]\n  2 [size=\"108390400\", alpha=\"0.07\", expect_size=\"43356160\"] \n  2 -> 3 [size =\"43356160\"]\n  2 -> 4 [size =\"43356160\"]\n  3 [size=\"60672000\", alpha=\"0.04\", expect_size=\"24268800\"] \n  3 -> 5 [size =\"24268800\"]\n  4 [size=\"24015360\", alpha=\"0.14\", expect_size=\"9606144\"] \n  5 [size=\"99712000\", alpha=\"0.13\", expect_size=\"39884800\"] \n  5 -> 6 [size =\"39884800\"]\n  6 [size=\"68305920\", alpha=\"0.10\", expect_size=\"27322368\"] \n  6 -> 7 [size =\"27322368\"]\n  6 -> 8 [size =\"27322368\"]\n  7 [size=\"74675200\", alpha=\"0.19\", expect_size=\"29870080\"] \n  7 -> 9 [size =\"29870080\"]\n  8 [size=\"85166080\", alpha=\"0.04\", expect_size=\"34066432\"] \n  8 -> 9 [size =\"34066432\"]\n  8 -> 10 [size =\"34066432\"]\n  9 [size=\"88706560\", alpha=\"0.20\", expect_size=\"35482624\"] \n  9 -> 11 [size =\"35482624\"]\n  10 [size=\"102671360\", alpha=\"0.06\", expect_size=\"41068544\"] \n  10 -> 11 [size =\"41068544\"]\n  11 [size=\"74649600\", alpha=\"0.02\", expect_size=\"29859840\"] \n  11 -> 12 [size =\"29859840\"]\n  12 [size=\"71851520\", alpha=\"0.01\", expect_size=\"28740608\"] \n  12 -> 13 [size =\"28740608\"]\n  13 [size=\"113868800\", alpha=\"0.07\", expect_size=\"45547520\"] \n  13 -> 14 [size =\"45547520\"]\n  13 -> 15 [size =\"45547520\"]\n  14 [size=\"20226560\", alpha=\"0.11\", expect_size=\"8090624\"] \n  15 [size=\"102878720\", alpha=\"0.09\", expect_size=\"41151488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83271680\", alpha=\"0.18\", expect_size=\"24981504\"] \n  1 -> 8 [size =\"24981504\"]\n  1 -> 10 [size =\"24981504\"]\n  1 -> 12 [size =\"24981504\"]\n  2 [size=\"122722987\", alpha=\"0.14\", expect_size=\"36816896\"] \n  2 -> 8 [size =\"36816896\"]\n  2 -> 9 [size =\"36816896\"]\n  2 -> 13 [size =\"36816896\"]\n  2 -> 14 [size =\"36816896\"]\n  2 -> 15 [size =\"36816896\"]\n  3 [size=\"41826987\", alpha=\"0.06\", expect_size=\"12548096\"] \n  3 -> 9 [size =\"12548096\"]\n  3 -> 13 [size =\"12548096\"]\n  3 -> 15 [size =\"12548096\"]\n  4 [size=\"129699840\", alpha=\"0.12\", expect_size=\"38909952\"] \n  4 -> 9 [size =\"38909952\"]\n  5 [size=\"144459093\", alpha=\"0.05\", expect_size=\"43337728\"] \n  5 -> 8 [size =\"43337728\"]\n  5 -> 9 [size =\"43337728\"]\n  5 -> 14 [size =\"43337728\"]\n  5 -> 15 [size =\"43337728\"]\n  6 [size=\"167103147\", alpha=\"0.01\", expect_size=\"50130944\"] \n  6 -> 12 [size =\"50130944\"]\n  7 [size=\"58453333\", alpha=\"0.13\", expect_size=\"17536000\"] \n  7 -> 8 [size =\"17536000\"]\n  7 -> 10 [size =\"17536000\"]\n  7 -> 11 [size =\"17536000\"]\n  7 -> 12 [size =\"17536000\"]\n  7 -> 13 [size =\"17536000\"]\n  7 -> 15 [size =\"17536000\"]\n  8 [size=\"18135040\", alpha=\"0.03\", expect_size=\"5440512\"] \n  9 [size=\"162263040\", alpha=\"0.15\", expect_size=\"48678912\"] \n  10 [size=\"47196160\", alpha=\"0.18\", expect_size=\"14158848\"] \n  11 [size=\"35007147\", alpha=\"0.16\", expect_size=\"10502144\"] \n  12 [size=\"20363947\", alpha=\"0.06\", expect_size=\"6109184\"] \n  13 [size=\"133430613\", alpha=\"0.16\", expect_size=\"40029184\"] \n  14 [size=\"22353920\", alpha=\"0.18\", expect_size=\"6706176\"] \n  15 [size=\"115862187\", alpha=\"0.06\", expect_size=\"34758656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141916160\", alpha=\"0.19\", expect_size=\"42574848\"] \n  1 -> 2 [size =\"42574848\"]\n  2 [size=\"30808747\", alpha=\"0.08\", expect_size=\"9242624\"] \n  2 -> 3 [size =\"9242624\"]\n  3 [size=\"167280640\", alpha=\"0.15\", expect_size=\"50184192\"] \n  3 -> 4 [size =\"50184192\"]\n  4 [size=\"68273493\", alpha=\"0.06\", expect_size=\"20482048\"] \n  4 -> 5 [size =\"20482048\"]\n  5 [size=\"157078187\", alpha=\"0.06\", expect_size=\"47123456\"] \n  5 -> 6 [size =\"47123456\"]\n  6 [size=\"68085760\", alpha=\"0.11\", expect_size=\"20425728\"] \n  6 -> 7 [size =\"20425728\"]\n  7 [size=\"71028053\", alpha=\"0.06\", expect_size=\"21308416\"] \n  7 -> 8 [size =\"21308416\"]\n  8 [size=\"166174720\", alpha=\"0.02\", expect_size=\"49852416\"] \n  8 -> 9 [size =\"49852416\"]\n  9 [size=\"128242347\", alpha=\"0.18\", expect_size=\"38472704\"] \n  9 -> 10 [size =\"38472704\"]\n  10 [size=\"54159360\", alpha=\"0.02\", expect_size=\"16247808\"] \n  10 -> 11 [size =\"16247808\"]\n  11 [size=\"98304000\", alpha=\"0.04\", expect_size=\"29491200\"] \n  11 -> 12 [size =\"29491200\"]\n  12 [size=\"93282987\", alpha=\"0.01\", expect_size=\"27984896\"] \n  12 -> 13 [size =\"27984896\"]\n  13 [size=\"154811733\", alpha=\"0.01\", expect_size=\"46443520\"] \n  13 -> 14 [size =\"46443520\"]\n  14 [size=\"112295253\", alpha=\"0.13\", expect_size=\"33688576\"] \n  14 -> 15 [size =\"33688576\"]\n  15 [size=\"162638507\", alpha=\"0.11\", expect_size=\"48791552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48756053\", alpha=\"0.15\", expect_size=\"14626816\"] \n  1 -> 2 [size =\"14626816\"]\n  2 [size=\"129829547\", alpha=\"0.00\", expect_size=\"38948864\"] \n  2 -> 3 [size =\"38948864\"]\n  3 [size=\"170990933\", alpha=\"0.11\", expect_size=\"51297280\"] \n  3 -> 4 [size =\"51297280\"]\n  4 [size=\"27985920\", alpha=\"0.10\", expect_size=\"8395776\"] \n  4 -> 5 [size =\"8395776\"]\n  5 [size=\"62982827\", alpha=\"0.15\", expect_size=\"18894848\"] \n  5 -> 6 [size =\"18894848\"]\n  6 [size=\"62648320\", alpha=\"0.19\", expect_size=\"18794496\"] \n  6 -> 7 [size =\"18794496\"]\n  6 -> 8 [size =\"18794496\"]\n  7 [size=\"106202453\", alpha=\"0.20\", expect_size=\"31860736\"] \n  7 -> 9 [size =\"31860736\"]\n  7 -> 10 [size =\"31860736\"]\n  8 [size=\"125999787\", alpha=\"0.03\", expect_size=\"37799936\"] \n  8 -> 9 [size =\"37799936\"]\n  8 -> 10 [size =\"37799936\"]\n  9 [size=\"133669547\", alpha=\"0.01\", expect_size=\"40100864\"] \n  9 -> 11 [size =\"40100864\"]\n  10 [size=\"34949120\", alpha=\"0.07\", expect_size=\"10484736\"] \n  10 -> 11 [size =\"10484736\"]\n  11 [size=\"90897067\", alpha=\"0.13\", expect_size=\"27269120\"] \n  11 -> 12 [size =\"27269120\"]\n  11 -> 13 [size =\"27269120\"]\n  12 [size=\"54292480\", alpha=\"0.12\", expect_size=\"16287744\"] \n  12 -> 14 [size =\"16287744\"]\n  13 [size=\"54370987\", alpha=\"0.16\", expect_size=\"16311296\"] \n  13 -> 14 [size =\"16311296\"]\n  14 [size=\"139366400\", alpha=\"0.04\", expect_size=\"41809920\"] \n  14 -> 15 [size =\"41809920\"]\n  15 [size=\"57118720\", alpha=\"0.16\", expect_size=\"17135616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11010048\", alpha=\"0.04\", expect_size=\"5505024\"] \n  1 -> 4 [size =\"5505024\"]\n  2 [size=\"104812544\", alpha=\"0.15\", expect_size=\"52406272\"] \n  2 -> 3 [size =\"52406272\"]\n  3 [size=\"70064128\", alpha=\"0.11\", expect_size=\"35032064\"] \n  4 [size=\"91631616\", alpha=\"0.14\", expect_size=\"45815808\"] \n  4 -> 5 [size =\"45815808\"]\n  5 [size=\"26742784\", alpha=\"0.04\", expect_size=\"13371392\"] \n  5 -> 6 [size =\"13371392\"]\n  5 -> 7 [size =\"13371392\"]\n  6 [size=\"80791552\", alpha=\"0.03\", expect_size=\"40395776\"] \n  6 -> 9 [size =\"40395776\"]\n  7 [size=\"74096640\", alpha=\"0.01\", expect_size=\"37048320\"] \n  7 -> 8 [size =\"37048320\"]\n  8 [size=\"37967872\", alpha=\"0.19\", expect_size=\"18983936\"] \n  9 [size=\"59684864\", alpha=\"0.09\", expect_size=\"29842432\"] \n  9 -> 10 [size =\"29842432\"]\n  9 -> 11 [size =\"29842432\"]\n  10 [size=\"58662912\", alpha=\"0.09\", expect_size=\"29331456\"] \n  10 -> 12 [size =\"29331456\"]\n  11 [size=\"104134656\", alpha=\"0.06\", expect_size=\"52067328\"] \n  11 -> 12 [size =\"52067328\"]\n  12 [size=\"26533888\", alpha=\"0.03\", expect_size=\"13266944\"] \n  12 -> 13 [size =\"13266944\"]\n  12 -> 14 [size =\"13266944\"]\n  13 [size=\"97150976\", alpha=\"0.20\", expect_size=\"48575488\"] \n  13 -> 15 [size =\"48575488\"]\n  14 [size=\"52457472\", alpha=\"0.20\", expect_size=\"26228736\"] \n  15 [size=\"22441984\", alpha=\"0.17\", expect_size=\"11220992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52662272\", alpha=\"0.19\", expect_size=\"26331136\"] \n  1 -> 6 [size =\"26331136\"]\n  1 -> 7 [size =\"26331136\"]\n  1 -> 9 [size =\"26331136\"]\n  1 -> 10 [size =\"26331136\"]\n  2 [size=\"96598016\", alpha=\"0.12\", expect_size=\"48299008\"] \n  2 -> 6 [size =\"48299008\"]\n  2 -> 7 [size =\"48299008\"]\n  2 -> 8 [size =\"48299008\"]\n  2 -> 9 [size =\"48299008\"]\n  2 -> 10 [size =\"48299008\"]\n  3 [size=\"27101184\", alpha=\"0.10\", expect_size=\"13550592\"] \n  3 -> 8 [size =\"13550592\"]\n  3 -> 9 [size =\"13550592\"]\n  3 -> 10 [size =\"13550592\"]\n  4 [size=\"86325248\", alpha=\"0.15\", expect_size=\"43162624\"] \n  4 -> 7 [size =\"43162624\"]\n  4 -> 8 [size =\"43162624\"]\n  4 -> 9 [size =\"43162624\"]\n  4 -> 10 [size =\"43162624\"]\n  5 [size=\"15437824\", alpha=\"0.11\", expect_size=\"7718912\"] \n  5 -> 6 [size =\"7718912\"]\n  5 -> 8 [size =\"7718912\"]\n  5 -> 9 [size =\"7718912\"]\n  5 -> 10 [size =\"7718912\"]\n  6 [size=\"33964032\", alpha=\"0.17\", expect_size=\"16982016\"] \n  6 -> 11 [size =\"16982016\"]\n  6 -> 12 [size =\"16982016\"]\n  6 -> 15 [size =\"16982016\"]\n  7 [size=\"37279744\", alpha=\"0.09\", expect_size=\"18639872\"] \n  7 -> 11 [size =\"18639872\"]\n  7 -> 12 [size =\"18639872\"]\n  7 -> 13 [size =\"18639872\"]\n  7 -> 14 [size =\"18639872\"]\n  7 -> 15 [size =\"18639872\"]\n  8 [size=\"30134272\", alpha=\"0.02\", expect_size=\"15067136\"] \n  8 -> 11 [size =\"15067136\"]\n  8 -> 12 [size =\"15067136\"]\n  8 -> 13 [size =\"15067136\"]\n  8 -> 14 [size =\"15067136\"]\n  8 -> 15 [size =\"15067136\"]\n  9 [size=\"64282624\", alpha=\"0.14\", expect_size=\"32141312\"] \n  9 -> 11 [size =\"32141312\"]\n  9 -> 12 [size =\"32141312\"]\n  9 -> 15 [size =\"32141312\"]\n  10 [size=\"13262848\", alpha=\"0.18\", expect_size=\"6631424\"] \n  10 -> 11 [size =\"6631424\"]\n  10 -> 12 [size =\"6631424\"]\n  10 -> 14 [size =\"6631424\"]\n  10 -> 15 [size =\"6631424\"]\n  11 [size=\"92229632\", alpha=\"0.16\", expect_size=\"46114816\"] \n  12 [size=\"85850112\", alpha=\"0.07\", expect_size=\"42925056\"] \n  13 [size=\"47603712\", alpha=\"0.14\", expect_size=\"23801856\"] \n  14 [size=\"95143936\", alpha=\"0.14\", expect_size=\"47571968\"] \n  15 [size=\"70057984\", alpha=\"0.08\", expect_size=\"35028992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91750400\", alpha=\"0.01\", expect_size=\"45875200\"] \n  1 -> 3 [size =\"45875200\"]\n  2 [size=\"50458624\", alpha=\"0.04\", expect_size=\"25229312\"] \n  3 [size=\"59166720\", alpha=\"0.11\", expect_size=\"29583360\"] \n  3 -> 4 [size =\"29583360\"]\n  4 [size=\"61831168\", alpha=\"0.01\", expect_size=\"30915584\"] \n  4 -> 5 [size =\"30915584\"]\n  4 -> 6 [size =\"30915584\"]\n  4 -> 7 [size =\"30915584\"]\n  5 [size=\"56152064\", alpha=\"0.04\", expect_size=\"28076032\"] \n  5 -> 9 [size =\"28076032\"]\n  5 -> 10 [size =\"28076032\"]\n  6 [size=\"60264448\", alpha=\"0.20\", expect_size=\"30132224\"] \n  7 [size=\"28213248\", alpha=\"0.12\", expect_size=\"14106624\"] \n  7 -> 8 [size =\"14106624\"]\n  7 -> 9 [size =\"14106624\"]\n  8 [size=\"27064320\", alpha=\"0.09\", expect_size=\"13532160\"] \n  8 -> 11 [size =\"13532160\"]\n  8 -> 13 [size =\"13532160\"]\n  9 [size=\"55203840\", alpha=\"0.12\", expect_size=\"27601920\"] \n  9 -> 12 [size =\"27601920\"]\n  10 [size=\"23787520\", alpha=\"0.10\", expect_size=\"11893760\"] \n  10 -> 11 [size =\"11893760\"]\n  10 -> 14 [size =\"11893760\"]\n  11 [size=\"100841472\", alpha=\"0.18\", expect_size=\"50420736\"] \n  12 [size=\"11743232\", alpha=\"0.11\", expect_size=\"5871616\"] \n  13 [size=\"31727616\", alpha=\"0.13\", expect_size=\"15863808\"] \n  14 [size=\"85297152\", alpha=\"0.00\", expect_size=\"42648576\"] \n  14 -> 15 [size =\"42648576\"]\n  15 [size=\"89085952\", alpha=\"0.12\", expect_size=\"44542976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112806400\", alpha=\"0.07\", expect_size=\"45122560\"] \n  2 [size=\"84587520\", alpha=\"0.04\", expect_size=\"33835008\"] \n  2 -> 3 [size =\"33835008\"]\n  2 -> 4 [size =\"33835008\"]\n  3 [size=\"127695360\", alpha=\"0.12\", expect_size=\"51078144\"] \n  3 -> 5 [size =\"51078144\"]\n  4 [size=\"29022720\", alpha=\"0.10\", expect_size=\"11609088\"] \n  5 [size=\"59368960\", alpha=\"0.04\", expect_size=\"23747584\"] \n  5 -> 6 [size =\"23747584\"]\n  5 -> 7 [size =\"23747584\"]\n  6 [size=\"91832320\", alpha=\"0.10\", expect_size=\"36732928\"] \n  6 -> 8 [size =\"36732928\"]\n  6 -> 9 [size =\"36732928\"]\n  7 [size=\"126502400\", alpha=\"0.16\", expect_size=\"50600960\"] \n  7 -> 8 [size =\"50600960\"]\n  8 [size=\"103004160\", alpha=\"0.07\", expect_size=\"41201664\"] \n  8 -> 10 [size =\"41201664\"]\n  8 -> 11 [size =\"41201664\"]\n  9 [size=\"37245440\", alpha=\"0.02\", expect_size=\"14898176\"] \n  9 -> 10 [size =\"14898176\"]\n  10 [size=\"22474240\", alpha=\"0.16\", expect_size=\"8989696\"] \n  11 [size=\"46868480\", alpha=\"0.03\", expect_size=\"18747392\"] \n  11 -> 12 [size =\"18747392\"]\n  12 [size=\"85683200\", alpha=\"0.15\", expect_size=\"34273280\"] \n  12 -> 13 [size =\"34273280\"]\n  12 -> 14 [size =\"34273280\"]\n  13 [size=\"111562240\", alpha=\"0.16\", expect_size=\"44624896\"] \n  13 -> 15 [size =\"44624896\"]\n  14 [size=\"63106560\", alpha=\"0.09\", expect_size=\"25242624\"] \n  14 -> 15 [size =\"25242624\"]\n  15 [size=\"119541760\", alpha=\"0.02\", expect_size=\"47816704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93329408\", alpha=\"0.15\", expect_size=\"46664704\"] \n  2 [size=\"68356096\", alpha=\"0.07\", expect_size=\"34178048\"] \n  3 [size=\"81889280\", alpha=\"0.10\", expect_size=\"40944640\"] \n  4 [size=\"95821824\", alpha=\"0.18\", expect_size=\"47910912\"] \n  5 [size=\"77680640\", alpha=\"0.08\", expect_size=\"38840320\"] \n  6 [size=\"96522240\", alpha=\"0.01\", expect_size=\"48261120\"] \n  7 [size=\"56489984\", alpha=\"0.00\", expect_size=\"28244992\"] \n  8 [size=\"63207424\", alpha=\"0.13\", expect_size=\"31603712\"] \n  9 [size=\"94941184\", alpha=\"0.17\", expect_size=\"47470592\"] \n  10 [size=\"42711040\", alpha=\"0.00\", expect_size=\"21355520\"] \n  11 [size=\"38209536\", alpha=\"0.11\", expect_size=\"19104768\"] \n  12 [size=\"12685312\", alpha=\"0.07\", expect_size=\"6342656\"] \n  13 [size=\"46581760\", alpha=\"0.04\", expect_size=\"23290880\"] \n  14 [size=\"95457280\", alpha=\"0.17\", expect_size=\"47728640\"] \n  15 [size=\"87212032\", alpha=\"0.01\", expect_size=\"43606016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102471680\", alpha=\"0.11\", expect_size=\"51235840\"] \n  1 -> 6 [size =\"51235840\"]\n  2 [size=\"89653248\", alpha=\"0.14\", expect_size=\"44826624\"] \n  3 [size=\"96733184\", alpha=\"0.04\", expect_size=\"48366592\"] \n  3 -> 7 [size =\"48366592\"]\n  3 -> 8 [size =\"48366592\"]\n  4 [size=\"86403072\", alpha=\"0.16\", expect_size=\"43201536\"] \n  4 -> 5 [size =\"43201536\"]\n  5 [size=\"82354176\", alpha=\"0.08\", expect_size=\"41177088\"] \n  5 -> 10 [size =\"41177088\"]\n  6 [size=\"85526528\", alpha=\"0.12\", expect_size=\"42763264\"] \n  6 -> 11 [size =\"42763264\"]\n  7 [size=\"52484096\", alpha=\"0.01\", expect_size=\"26242048\"] \n  7 -> 11 [size =\"26242048\"]\n  7 -> 12 [size =\"26242048\"]\n  8 [size=\"41654272\", alpha=\"0.04\", expect_size=\"20827136\"] \n  8 -> 9 [size =\"20827136\"]\n  8 -> 12 [size =\"20827136\"]\n  9 [size=\"57520128\", alpha=\"0.04\", expect_size=\"28760064\"] \n  9 -> 15 [size =\"28760064\"]\n  10 [size=\"72908800\", alpha=\"0.07\", expect_size=\"36454400\"] \n  10 -> 13 [size =\"36454400\"]\n  10 -> 14 [size =\"36454400\"]\n  10 -> 15 [size =\"36454400\"]\n  11 [size=\"59930624\", alpha=\"0.02\", expect_size=\"29965312\"] \n  12 [size=\"19574784\", alpha=\"0.10\", expect_size=\"9787392\"] \n  12 -> 15 [size =\"9787392\"]\n  13 [size=\"83421184\", alpha=\"0.10\", expect_size=\"41710592\"] \n  14 [size=\"102514688\", alpha=\"0.13\", expect_size=\"51257344\"] \n  15 [size=\"83568640\", alpha=\"0.16\", expect_size=\"41784320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58683392\", alpha=\"0.04\", expect_size=\"29341696\"] \n  1 -> 6 [size =\"29341696\"]\n  1 -> 10 [size =\"29341696\"]\n  2 [size=\"86372352\", alpha=\"0.01\", expect_size=\"43186176\"] \n  2 -> 6 [size =\"43186176\"]\n  2 -> 8 [size =\"43186176\"]\n  2 -> 11 [size =\"43186176\"]\n  3 [size=\"44230656\", alpha=\"0.06\", expect_size=\"22115328\"] \n  3 -> 6 [size =\"22115328\"]\n  3 -> 7 [size =\"22115328\"]\n  3 -> 10 [size =\"22115328\"]\n  3 -> 11 [size =\"22115328\"]\n  4 [size=\"12285952\", alpha=\"0.13\", expect_size=\"6142976\"] \n  5 [size=\"79896576\", alpha=\"0.04\", expect_size=\"39948288\"] \n  5 -> 9 [size =\"39948288\"]\n  5 -> 11 [size =\"39948288\"]\n  6 [size=\"86171648\", alpha=\"0.18\", expect_size=\"43085824\"] \n  7 [size=\"79087616\", alpha=\"0.09\", expect_size=\"39543808\"] \n  7 -> 15 [size =\"39543808\"]\n  8 [size=\"62967808\", alpha=\"0.16\", expect_size=\"31483904\"] \n  9 [size=\"24401920\", alpha=\"0.04\", expect_size=\"12200960\"] \n  9 -> 13 [size =\"12200960\"]\n  9 -> 15 [size =\"12200960\"]\n  10 [size=\"102367232\", alpha=\"0.15\", expect_size=\"51183616\"] \n  10 -> 12 [size =\"51183616\"]\n  10 -> 13 [size =\"51183616\"]\n  10 -> 14 [size =\"51183616\"]\n  10 -> 15 [size =\"51183616\"]\n  11 [size=\"79794176\", alpha=\"0.12\", expect_size=\"39897088\"] \n  12 [size=\"98902016\", alpha=\"0.11\", expect_size=\"49451008\"] \n  13 [size=\"102946816\", alpha=\"0.19\", expect_size=\"51473408\"] \n  14 [size=\"37273600\", alpha=\"0.08\", expect_size=\"18636800\"] \n  15 [size=\"100808704\", alpha=\"0.11\", expect_size=\"50404352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71237632\", alpha=\"0.14\", expect_size=\"35618816\"] \n  1 -> 2 [size =\"35618816\"]\n  2 [size=\"27021312\", alpha=\"0.01\", expect_size=\"13510656\"] \n  2 -> 3 [size =\"13510656\"]\n  3 [size=\"40648704\", alpha=\"0.13\", expect_size=\"20324352\"] \n  3 -> 4 [size =\"20324352\"]\n  4 [size=\"57339904\", alpha=\"0.14\", expect_size=\"28669952\"] \n  4 -> 5 [size =\"28669952\"]\n  5 [size=\"59189248\", alpha=\"0.16\", expect_size=\"29594624\"] \n  5 -> 6 [size =\"29594624\"]\n  6 [size=\"74575872\", alpha=\"0.03\", expect_size=\"37287936\"] \n  6 -> 7 [size =\"37287936\"]\n  7 [size=\"14292992\", alpha=\"0.18\", expect_size=\"7146496\"] \n  7 -> 8 [size =\"7146496\"]\n  8 [size=\"74549248\", alpha=\"0.08\", expect_size=\"37274624\"] \n  8 -> 9 [size =\"37274624\"]\n  9 [size=\"41275392\", alpha=\"0.17\", expect_size=\"20637696\"] \n  9 -> 10 [size =\"20637696\"]\n  10 [size=\"99833856\", alpha=\"0.18\", expect_size=\"49916928\"] \n  10 -> 11 [size =\"49916928\"]\n  11 [size=\"19431424\", alpha=\"0.18\", expect_size=\"9715712\"] \n  11 -> 12 [size =\"9715712\"]\n  12 [size=\"85364736\", alpha=\"0.07\", expect_size=\"42682368\"] \n  12 -> 13 [size =\"42682368\"]\n  13 [size=\"90275840\", alpha=\"0.12\", expect_size=\"45137920\"] \n  13 -> 14 [size =\"45137920\"]\n  14 [size=\"59275264\", alpha=\"0.07\", expect_size=\"29637632\"] \n  14 -> 15 [size =\"29637632\"]\n  15 [size=\"29184000\", alpha=\"0.05\", expect_size=\"14592000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166167893\", alpha=\"0.12\", expect_size=\"49850368\"] \n  2 [size=\"38273707\", alpha=\"0.17\", expect_size=\"11482112\"] \n  2 -> 3 [size =\"11482112\"]\n  3 [size=\"131993600\", alpha=\"0.16\", expect_size=\"39598080\"] \n  3 -> 4 [size =\"39598080\"]\n  4 [size=\"127180800\", alpha=\"0.03\", expect_size=\"38154240\"] \n  4 -> 5 [size =\"38154240\"]\n  4 -> 6 [size =\"38154240\"]\n  5 [size=\"82629973\", alpha=\"0.04\", expect_size=\"24788992\"] \n  5 -> 8 [size =\"24788992\"]\n  6 [size=\"111994880\", alpha=\"0.01\", expect_size=\"33598464\"] \n  6 -> 7 [size =\"33598464\"]\n  7 [size=\"87889920\", alpha=\"0.18\", expect_size=\"26366976\"] \n  7 -> 9 [size =\"26366976\"]\n  8 [size=\"116220587\", alpha=\"0.14\", expect_size=\"34866176\"] \n  9 [size=\"50599253\", alpha=\"0.18\", expect_size=\"15179776\"] \n  9 -> 10 [size =\"15179776\"]\n  10 [size=\"68488533\", alpha=\"0.02\", expect_size=\"20546560\"] \n  10 -> 11 [size =\"20546560\"]\n  11 [size=\"143424853\", alpha=\"0.15\", expect_size=\"43027456\"] \n  11 -> 12 [size =\"43027456\"]\n  11 -> 13 [size =\"43027456\"]\n  12 [size=\"83988480\", alpha=\"0.16\", expect_size=\"25196544\"] \n  12 -> 14 [size =\"25196544\"]\n  13 [size=\"61941760\", alpha=\"0.07\", expect_size=\"18582528\"] \n  14 [size=\"26835627\", alpha=\"0.06\", expect_size=\"8050688\"] \n  14 -> 15 [size =\"8050688\"]\n  15 [size=\"54353920\", alpha=\"0.05\", expect_size=\"16306176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70341120\", alpha=\"0.15\", expect_size=\"28136448\"] \n  1 -> 2 [size =\"28136448\"]\n  2 [size=\"125388800\", alpha=\"0.07\", expect_size=\"50155520\"] \n  2 -> 3 [size =\"50155520\"]\n  3 [size=\"17958400\", alpha=\"0.03\", expect_size=\"7183360\"] \n  3 -> 4 [size =\"7183360\"]\n  4 [size=\"62702080\", alpha=\"0.00\", expect_size=\"25080832\"] \n  4 -> 5 [size =\"25080832\"]\n  5 [size=\"49036800\", alpha=\"0.01\", expect_size=\"19614720\"] \n  5 -> 6 [size =\"19614720\"]\n  6 [size=\"89863680\", alpha=\"0.12\", expect_size=\"35945472\"] \n  6 -> 7 [size =\"35945472\"]\n  7 [size=\"39452160\", alpha=\"0.01\", expect_size=\"15780864\"] \n  7 -> 8 [size =\"15780864\"]\n  8 [size=\"101099520\", alpha=\"0.15\", expect_size=\"40439808\"] \n  8 -> 9 [size =\"40439808\"]\n  9 [size=\"26798080\", alpha=\"0.05\", expect_size=\"10719232\"] \n  9 -> 10 [size =\"10719232\"]\n  10 [size=\"58496000\", alpha=\"0.09\", expect_size=\"23398400\"] \n  10 -> 11 [size =\"23398400\"]\n  11 [size=\"131028480\", alpha=\"0.13\", expect_size=\"52411392\"] \n  11 -> 12 [size =\"52411392\"]\n  12 [size=\"102228480\", alpha=\"0.15\", expect_size=\"40891392\"] \n  12 -> 13 [size =\"40891392\"]\n  13 [size=\"24517120\", alpha=\"0.17\", expect_size=\"9806848\"] \n  13 -> 14 [size =\"9806848\"]\n  14 [size=\"42826240\", alpha=\"0.00\", expect_size=\"17130496\"] \n  14 -> 15 [size =\"17130496\"]\n  15 [size=\"45043200\", alpha=\"0.06\", expect_size=\"18017280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93232640\", alpha=\"0.16\", expect_size=\"37293056\"] \n  1 -> 8 [size =\"37293056\"]\n  1 -> 12 [size =\"37293056\"]\n  1 -> 15 [size =\"37293056\"]\n  2 [size=\"127045120\", alpha=\"0.06\", expect_size=\"50818048\"] \n  2 -> 13 [size =\"50818048\"]\n  2 -> 15 [size =\"50818048\"]\n  3 [size=\"70097920\", alpha=\"0.00\", expect_size=\"28039168\"] \n  3 -> 9 [size =\"28039168\"]\n  3 -> 12 [size =\"28039168\"]\n  3 -> 13 [size =\"28039168\"]\n  3 -> 14 [size =\"28039168\"]\n  4 [size=\"24317440\", alpha=\"0.07\", expect_size=\"9726976\"] \n  4 -> 8 [size =\"9726976\"]\n  4 -> 9 [size =\"9726976\"]\n  4 -> 10 [size =\"9726976\"]\n  4 -> 14 [size =\"9726976\"]\n  4 -> 15 [size =\"9726976\"]\n  5 [size=\"84029440\", alpha=\"0.02\", expect_size=\"33611776\"] \n  5 -> 9 [size =\"33611776\"]\n  5 -> 11 [size =\"33611776\"]\n  5 -> 14 [size =\"33611776\"]\n  6 [size=\"106099200\", alpha=\"0.19\", expect_size=\"42439680\"] \n  6 -> 11 [size =\"42439680\"]\n  7 [size=\"70999040\", alpha=\"0.10\", expect_size=\"28399616\"] \n  7 -> 8 [size =\"28399616\"]\n  7 -> 11 [size =\"28399616\"]\n  7 -> 12 [size =\"28399616\"]\n  8 [size=\"119669760\", alpha=\"0.13\", expect_size=\"47867904\"] \n  9 [size=\"65664000\", alpha=\"0.19\", expect_size=\"26265600\"] \n  10 [size=\"37831680\", alpha=\"0.14\", expect_size=\"15132672\"] \n  11 [size=\"18199040\", alpha=\"0.05\", expect_size=\"7279616\"] \n  12 [size=\"114954240\", alpha=\"0.19\", expect_size=\"45981696\"] \n  13 [size=\"31825920\", alpha=\"0.10\", expect_size=\"12730368\"] \n  14 [size=\"33710080\", alpha=\"0.14\", expect_size=\"13484032\"] \n  15 [size=\"72765440\", alpha=\"0.12\", expect_size=\"29106176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84586496\", alpha=\"0.14\", expect_size=\"42293248\"] \n  2 [size=\"48998400\", alpha=\"0.08\", expect_size=\"24499200\"] \n  3 [size=\"66598912\", alpha=\"0.11\", expect_size=\"33299456\"] \n  4 [size=\"50044928\", alpha=\"0.19\", expect_size=\"25022464\"] \n  5 [size=\"65658880\", alpha=\"0.09\", expect_size=\"32829440\"] \n  6 [size=\"40386560\", alpha=\"0.05\", expect_size=\"20193280\"] \n  7 [size=\"23248896\", alpha=\"0.18\", expect_size=\"11624448\"] \n  8 [size=\"71364608\", alpha=\"0.02\", expect_size=\"35682304\"] \n  9 [size=\"92051456\", alpha=\"0.13\", expect_size=\"46025728\"] \n  10 [size=\"42219520\", alpha=\"0.12\", expect_size=\"21109760\"] \n  11 [size=\"57276416\", alpha=\"0.06\", expect_size=\"28638208\"] \n  11 -> 15 [size =\"28638208\"]\n  12 [size=\"27848704\", alpha=\"0.15\", expect_size=\"13924352\"] \n  12 -> 15 [size =\"13924352\"]\n  13 [size=\"64225280\", alpha=\"0.19\", expect_size=\"32112640\"] \n  14 [size=\"20369408\", alpha=\"0.19\", expect_size=\"10184704\"] \n  15 [size=\"14270464\", alpha=\"0.16\", expect_size=\"7135232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41896960\", alpha=\"0.17\", expect_size=\"16758784\"] \n  1 -> 2 [size =\"16758784\"]\n  2 [size=\"26385920\", alpha=\"0.16\", expect_size=\"10554368\"] \n  2 -> 3 [size =\"10554368\"]\n  3 [size=\"115537920\", alpha=\"0.08\", expect_size=\"46215168\"] \n  3 -> 4 [size =\"46215168\"]\n  4 [size=\"107494400\", alpha=\"0.16\", expect_size=\"42997760\"] \n  4 -> 5 [size =\"42997760\"]\n  5 [size=\"128711680\", alpha=\"0.09\", expect_size=\"51484672\"] \n  5 -> 6 [size =\"51484672\"]\n  6 [size=\"113308160\", alpha=\"0.09\", expect_size=\"45323264\"] \n  6 -> 7 [size =\"45323264\"]\n  7 [size=\"41177600\", alpha=\"0.20\", expect_size=\"16471040\"] \n  7 -> 8 [size =\"16471040\"]\n  8 [size=\"82170880\", alpha=\"0.09\", expect_size=\"32868352\"] \n  8 -> 9 [size =\"32868352\"]\n  9 [size=\"47134720\", alpha=\"0.00\", expect_size=\"18853888\"] \n  9 -> 10 [size =\"18853888\"]\n  10 [size=\"75445760\", alpha=\"0.01\", expect_size=\"30178304\"] \n  10 -> 11 [size =\"30178304\"]\n  11 [size=\"83041280\", alpha=\"0.17\", expect_size=\"33216512\"] \n  11 -> 12 [size =\"33216512\"]\n  12 [size=\"64327680\", alpha=\"0.19\", expect_size=\"25731072\"] \n  12 -> 13 [size =\"25731072\"]\n  13 [size=\"37813760\", alpha=\"0.15\", expect_size=\"15125504\"] \n  13 -> 14 [size =\"15125504\"]\n  14 [size=\"82849280\", alpha=\"0.06\", expect_size=\"33139712\"] \n  14 -> 15 [size =\"33139712\"]\n  15 [size=\"56568320\", alpha=\"0.02\", expect_size=\"22627328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77104640\", alpha=\"0.11\", expect_size=\"30841856\"] \n  1 -> 3 [size =\"30841856\"]\n  1 -> 4 [size =\"30841856\"]\n  2 [size=\"40232960\", alpha=\"0.09\", expect_size=\"16093184\"] \n  2 -> 3 [size =\"16093184\"]\n  2 -> 4 [size =\"16093184\"]\n  2 -> 5 [size =\"16093184\"]\n  3 [size=\"15467520\", alpha=\"0.12\", expect_size=\"6187008\"] \n  3 -> 7 [size =\"6187008\"]\n  4 [size=\"130314240\", alpha=\"0.18\", expect_size=\"52125696\"] \n  4 -> 6 [size =\"52125696\"]\n  5 [size=\"64368640\", alpha=\"0.15\", expect_size=\"25747456\"] \n  6 [size=\"111096320\", alpha=\"0.07\", expect_size=\"44438528\"] \n  6 -> 9 [size =\"44438528\"]\n  7 [size=\"127257600\", alpha=\"0.14\", expect_size=\"50903040\"] \n  7 -> 8 [size =\"50903040\"]\n  7 -> 9 [size =\"50903040\"]\n  7 -> 10 [size =\"50903040\"]\n  8 [size=\"13788160\", alpha=\"0.15\", expect_size=\"5515264\"] \n  8 -> 11 [size =\"5515264\"]\n  8 -> 12 [size =\"5515264\"]\n  9 [size=\"95521280\", alpha=\"0.12\", expect_size=\"38208512\"] \n  9 -> 11 [size =\"38208512\"]\n  9 -> 13 [size =\"38208512\"]\n  10 [size=\"126453760\", alpha=\"0.04\", expect_size=\"50581504\"] \n  10 -> 12 [size =\"50581504\"]\n  11 [size=\"105689600\", alpha=\"0.03\", expect_size=\"42275840\"] \n  11 -> 14 [size =\"42275840\"]\n  11 -> 15 [size =\"42275840\"]\n  12 [size=\"51607040\", alpha=\"0.12\", expect_size=\"20642816\"] \n  12 -> 14 [size =\"20642816\"]\n  13 [size=\"107343360\", alpha=\"0.15\", expect_size=\"42937344\"] \n  14 [size=\"57868800\", alpha=\"0.13\", expect_size=\"23147520\"] \n  15 [size=\"44695040\", alpha=\"0.09\", expect_size=\"17878016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173837653\", alpha=\"0.08\", expect_size=\"52151296\"] \n  1 -> 14 [size =\"52151296\"]\n  2 [size=\"141670400\", alpha=\"0.01\", expect_size=\"42501120\"] \n  2 -> 11 [size =\"42501120\"]\n  2 -> 12 [size =\"42501120\"]\n  2 -> 14 [size =\"42501120\"]\n  3 [size=\"145612800\", alpha=\"0.11\", expect_size=\"43683840\"] \n  3 -> 12 [size =\"43683840\"]\n  4 [size=\"106308267\", alpha=\"0.13\", expect_size=\"31892480\"] \n  4 -> 13 [size =\"31892480\"]\n  5 [size=\"25176747\", alpha=\"0.14\", expect_size=\"7553024\"] \n  5 -> 14 [size =\"7553024\"]\n  6 [size=\"75936427\", alpha=\"0.18\", expect_size=\"22780928\"] \n  6 -> 12 [size =\"22780928\"]\n  7 [size=\"83899733\", alpha=\"0.14\", expect_size=\"25169920\"] \n  8 [size=\"116087467\", alpha=\"0.00\", expect_size=\"34826240\"] \n  8 -> 13 [size =\"34826240\"]\n  8 -> 14 [size =\"34826240\"]\n  9 [size=\"48998400\", alpha=\"0.20\", expect_size=\"14699520\"] \n  9 -> 12 [size =\"14699520\"]\n  9 -> 14 [size =\"14699520\"]\n  10 [size=\"31351467\", alpha=\"0.08\", expect_size=\"9405440\"] \n  10 -> 14 [size =\"9405440\"]\n  10 -> 15 [size =\"9405440\"]\n  11 [size=\"158935040\", alpha=\"0.18\", expect_size=\"47680512\"] \n  12 [size=\"68232533\", alpha=\"0.15\", expect_size=\"20469760\"] \n  13 [size=\"78332587\", alpha=\"0.06\", expect_size=\"23499776\"] \n  14 [size=\"168192000\", alpha=\"0.18\", expect_size=\"50457600\"] \n  15 [size=\"111568213\", alpha=\"0.11\", expect_size=\"33470464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129047893\", alpha=\"0.18\", expect_size=\"38714368\"] \n  1 -> 3 [size =\"38714368\"]\n  2 [size=\"86121813\", alpha=\"0.01\", expect_size=\"25836544\"] \n  2 -> 4 [size =\"25836544\"]\n  3 [size=\"30904320\", alpha=\"0.18\", expect_size=\"9271296\"] \n  4 [size=\"78653440\", alpha=\"0.11\", expect_size=\"23596032\"] \n  4 -> 5 [size =\"23596032\"]\n  4 -> 6 [size =\"23596032\"]\n  5 [size=\"110206293\", alpha=\"0.17\", expect_size=\"33061888\"] \n  5 -> 7 [size =\"33061888\"]\n  5 -> 8 [size =\"33061888\"]\n  6 [size=\"131310933\", alpha=\"0.12\", expect_size=\"39393280\"] \n  7 [size=\"138315093\", alpha=\"0.14\", expect_size=\"41494528\"] \n  8 [size=\"67962880\", alpha=\"0.07\", expect_size=\"20388864\"] \n  8 -> 9 [size =\"20388864\"]\n  8 -> 10 [size =\"20388864\"]\n  9 [size=\"162406400\", alpha=\"0.03\", expect_size=\"48721920\"] \n  9 -> 12 [size =\"48721920\"]\n  10 [size=\"120313173\", alpha=\"0.06\", expect_size=\"36093952\"] \n  10 -> 11 [size =\"36093952\"]\n  11 [size=\"108813653\", alpha=\"0.18\", expect_size=\"32644096\"] \n  12 [size=\"91497813\", alpha=\"0.13\", expect_size=\"27449344\"] \n  12 -> 13 [size =\"27449344\"]\n  13 [size=\"96788480\", alpha=\"0.04\", expect_size=\"29036544\"] \n  13 -> 14 [size =\"29036544\"]\n  14 [size=\"81349973\", alpha=\"0.18\", expect_size=\"24404992\"] \n  14 -> 15 [size =\"24404992\"]\n  15 [size=\"170813440\", alpha=\"0.00\", expect_size=\"51244032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139103573\", alpha=\"0.13\", expect_size=\"41731072\"] \n  1 -> 7 [size =\"41731072\"]\n  1 -> 8 [size =\"41731072\"]\n  1 -> 9 [size =\"41731072\"]\n  1 -> 10 [size =\"41731072\"]\n  2 [size=\"65153707\", alpha=\"0.11\", expect_size=\"19546112\"] \n  2 -> 6 [size =\"19546112\"]\n  2 -> 8 [size =\"19546112\"]\n  2 -> 9 [size =\"19546112\"]\n  3 [size=\"156255573\", alpha=\"0.04\", expect_size=\"46876672\"] \n  3 -> 7 [size =\"46876672\"]\n  3 -> 10 [size =\"46876672\"]\n  4 [size=\"55739733\", alpha=\"0.00\", expect_size=\"16721920\"] \n  4 -> 6 [size =\"16721920\"]\n  4 -> 8 [size =\"16721920\"]\n  5 [size=\"97611093\", alpha=\"0.19\", expect_size=\"29283328\"] \n  5 -> 9 [size =\"29283328\"]\n  6 [size=\"61665280\", alpha=\"0.14\", expect_size=\"18499584\"] \n  6 -> 12 [size =\"18499584\"]\n  6 -> 13 [size =\"18499584\"]\n  7 [size=\"49612800\", alpha=\"0.02\", expect_size=\"14883840\"] \n  7 -> 11 [size =\"14883840\"]\n  7 -> 12 [size =\"14883840\"]\n  7 -> 15 [size =\"14883840\"]\n  8 [size=\"125996373\", alpha=\"0.11\", expect_size=\"37798912\"] \n  8 -> 12 [size =\"37798912\"]\n  8 -> 13 [size =\"37798912\"]\n  9 [size=\"122385067\", alpha=\"0.17\", expect_size=\"36715520\"] \n  9 -> 13 [size =\"36715520\"]\n  9 -> 15 [size =\"36715520\"]\n  10 [size=\"105772373\", alpha=\"0.06\", expect_size=\"31731712\"] \n  10 -> 14 [size =\"31731712\"]\n  11 [size=\"59562667\", alpha=\"0.09\", expect_size=\"17868800\"] \n  12 [size=\"165638827\", alpha=\"0.04\", expect_size=\"49691648\"] \n  13 [size=\"92989440\", alpha=\"0.07\", expect_size=\"27896832\"] \n  14 [size=\"126617600\", alpha=\"0.14\", expect_size=\"37985280\"] \n  15 [size=\"129249280\", alpha=\"0.12\", expect_size=\"38774784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75624960\", alpha=\"0.19\", expect_size=\"30249984\"] \n  1 -> 2 [size =\"30249984\"]\n  1 -> 3 [size =\"30249984\"]\n  2 [size=\"130032640\", alpha=\"0.05\", expect_size=\"52013056\"] \n  3 [size=\"124997120\", alpha=\"0.17\", expect_size=\"49998848\"] \n  3 -> 4 [size =\"49998848\"]\n  4 [size=\"53934080\", alpha=\"0.18\", expect_size=\"21573632\"] \n  4 -> 5 [size =\"21573632\"]\n  5 [size=\"53393920\", alpha=\"0.08\", expect_size=\"21357568\"] \n  5 -> 6 [size =\"21357568\"]\n  6 [size=\"65576960\", alpha=\"0.01\", expect_size=\"26230784\"] \n  6 -> 7 [size =\"26230784\"]\n  6 -> 8 [size =\"26230784\"]\n  7 [size=\"125731840\", alpha=\"0.02\", expect_size=\"50292736\"] \n  7 -> 9 [size =\"50292736\"]\n  8 [size=\"100608000\", alpha=\"0.10\", expect_size=\"40243200\"] \n  9 [size=\"103513600\", alpha=\"0.10\", expect_size=\"41405440\"] \n  9 -> 10 [size =\"41405440\"]\n  9 -> 11 [size =\"41405440\"]\n  10 [size=\"83601920\", alpha=\"0.01\", expect_size=\"33440768\"] \n  11 [size=\"98306560\", alpha=\"0.12\", expect_size=\"39322624\"] \n  11 -> 12 [size =\"39322624\"]\n  12 [size=\"92042240\", alpha=\"0.10\", expect_size=\"36816896\"] \n  12 -> 13 [size =\"36816896\"]\n  12 -> 14 [size =\"36816896\"]\n  13 [size=\"122908160\", alpha=\"0.13\", expect_size=\"49163264\"] \n  14 [size=\"106641920\", alpha=\"0.09\", expect_size=\"42656768\"] \n  14 -> 15 [size =\"42656768\"]\n  15 [size=\"96675840\", alpha=\"0.12\", expect_size=\"38670336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97433600\", alpha=\"0.08\", expect_size=\"48716800\"] \n  1 -> 10 [size =\"48716800\"]\n  1 -> 11 [size =\"48716800\"]\n  1 -> 13 [size =\"48716800\"]\n  1 -> 14 [size =\"48716800\"]\n  2 [size=\"16445440\", alpha=\"0.09\", expect_size=\"8222720\"] \n  2 -> 15 [size =\"8222720\"]\n  3 [size=\"82833408\", alpha=\"0.03\", expect_size=\"41416704\"] \n  3 -> 11 [size =\"41416704\"]\n  3 -> 15 [size =\"41416704\"]\n  4 [size=\"45324288\", alpha=\"0.11\", expect_size=\"22662144\"] \n  5 [size=\"56944640\", alpha=\"0.03\", expect_size=\"28472320\"] \n  5 -> 14 [size =\"28472320\"]\n  5 -> 15 [size =\"28472320\"]\n  6 [size=\"57462784\", alpha=\"0.04\", expect_size=\"28731392\"] \n  6 -> 13 [size =\"28731392\"]\n  6 -> 14 [size =\"28731392\"]\n  7 [size=\"11878400\", alpha=\"0.07\", expect_size=\"5939200\"] \n  7 -> 15 [size =\"5939200\"]\n  8 [size=\"68173824\", alpha=\"0.17\", expect_size=\"34086912\"] \n  8 -> 11 [size =\"34086912\"]\n  8 -> 12 [size =\"34086912\"]\n  9 [size=\"47851520\", alpha=\"0.15\", expect_size=\"23925760\"] \n  9 -> 11 [size =\"23925760\"]\n  9 -> 13 [size =\"23925760\"]\n  10 [size=\"68861952\", alpha=\"0.01\", expect_size=\"34430976\"] \n  11 [size=\"32843776\", alpha=\"0.02\", expect_size=\"16421888\"] \n  12 [size=\"70457344\", alpha=\"0.17\", expect_size=\"35228672\"] \n  13 [size=\"16474112\", alpha=\"0.11\", expect_size=\"8237056\"] \n  14 [size=\"30758912\", alpha=\"0.18\", expect_size=\"15379456\"] \n  15 [size=\"83556352\", alpha=\"0.15\", expect_size=\"41778176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32798720\", alpha=\"0.13\", expect_size=\"13119488\"] \n  1 -> 2 [size =\"13119488\"]\n  1 -> 3 [size =\"13119488\"]\n  2 [size=\"31856640\", alpha=\"0.05\", expect_size=\"12742656\"] \n  2 -> 4 [size =\"12742656\"]\n  2 -> 5 [size =\"12742656\"]\n  3 [size=\"71352320\", alpha=\"0.19\", expect_size=\"28540928\"] \n  4 [size=\"73978880\", alpha=\"0.01\", expect_size=\"29591552\"] \n  4 -> 7 [size =\"29591552\"]\n  5 [size=\"40760320\", alpha=\"0.01\", expect_size=\"16304128\"] \n  5 -> 6 [size =\"16304128\"]\n  6 [size=\"49945600\", alpha=\"0.07\", expect_size=\"19978240\"] \n  6 -> 9 [size =\"19978240\"]\n  7 [size=\"122654720\", alpha=\"0.15\", expect_size=\"49061888\"] \n  7 -> 8 [size =\"49061888\"]\n  8 [size=\"61980160\", alpha=\"0.06\", expect_size=\"24792064\"] \n  8 -> 10 [size =\"24792064\"]\n  9 [size=\"25533440\", alpha=\"0.16\", expect_size=\"10213376\"] \n  10 [size=\"21516800\", alpha=\"0.03\", expect_size=\"8606720\"] \n  10 -> 11 [size =\"8606720\"]\n  10 -> 12 [size =\"8606720\"]\n  11 [size=\"126105600\", alpha=\"0.17\", expect_size=\"50442240\"] \n  12 [size=\"84459520\", alpha=\"0.06\", expect_size=\"33783808\"] \n  12 -> 13 [size =\"33783808\"]\n  13 [size=\"115453440\", alpha=\"0.06\", expect_size=\"46181376\"] \n  13 -> 14 [size =\"46181376\"]\n  14 [size=\"107860480\", alpha=\"0.19\", expect_size=\"43144192\"] \n  14 -> 15 [size =\"43144192\"]\n  15 [size=\"110812160\", alpha=\"0.06\", expect_size=\"44324864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93775360\", alpha=\"0.20\", expect_size=\"37510144\"] \n  1 -> 4 [size =\"37510144\"]\n  1 -> 6 [size =\"37510144\"]\n  2 [size=\"78074880\", alpha=\"0.00\", expect_size=\"31229952\"] \n  3 [size=\"65372160\", alpha=\"0.19\", expect_size=\"26148864\"] \n  3 -> 4 [size =\"26148864\"]\n  3 -> 5 [size =\"26148864\"]\n  3 -> 6 [size =\"26148864\"]\n  4 [size=\"33623040\", alpha=\"0.11\", expect_size=\"13449216\"] \n  5 [size=\"49920000\", alpha=\"0.06\", expect_size=\"19968000\"] \n  5 -> 7 [size =\"19968000\"]\n  5 -> 8 [size =\"19968000\"]\n  6 [size=\"27399680\", alpha=\"0.01\", expect_size=\"10959872\"] \n  6 -> 7 [size =\"10959872\"]\n  6 -> 8 [size =\"10959872\"]\n  6 -> 9 [size =\"10959872\"]\n  7 [size=\"13926400\", alpha=\"0.14\", expect_size=\"5570560\"] \n  8 [size=\"37634560\", alpha=\"0.17\", expect_size=\"15053824\"] \n  9 [size=\"67681280\", alpha=\"0.12\", expect_size=\"27072512\"] \n  9 -> 10 [size =\"27072512\"]\n  9 -> 11 [size =\"27072512\"]\n  10 [size=\"23175680\", alpha=\"0.05\", expect_size=\"9270272\"] \n  10 -> 14 [size =\"9270272\"]\n  11 [size=\"74570240\", alpha=\"0.07\", expect_size=\"29828096\"] \n  11 -> 12 [size =\"29828096\"]\n  11 -> 13 [size =\"29828096\"]\n  12 [size=\"71741440\", alpha=\"0.10\", expect_size=\"28696576\"] \n  13 [size=\"71997440\", alpha=\"0.06\", expect_size=\"28798976\"] \n  14 [size=\"65136640\", alpha=\"0.13\", expect_size=\"26054656\"] \n  14 -> 15 [size =\"26054656\"]\n  15 [size=\"128294400\", alpha=\"0.09\", expect_size=\"51317760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160665600\", alpha=\"0.02\", expect_size=\"48199680\"] \n  2 [size=\"131607893\", alpha=\"0.07\", expect_size=\"39482368\"] \n  3 [size=\"135833600\", alpha=\"0.19\", expect_size=\"40750080\"] \n  3 -> 5 [size =\"40750080\"]\n  4 [size=\"33447253\", alpha=\"0.11\", expect_size=\"10034176\"] \n  5 [size=\"50322773\", alpha=\"0.09\", expect_size=\"15096832\"] \n  5 -> 6 [size =\"15096832\"]\n  5 -> 7 [size =\"15096832\"]\n  5 -> 8 [size =\"15096832\"]\n  6 [size=\"134232747\", alpha=\"0.17\", expect_size=\"40269824\"] \n  6 -> 10 [size =\"40269824\"]\n  6 -> 11 [size =\"40269824\"]\n  6 -> 12 [size =\"40269824\"]\n  7 [size=\"171871573\", alpha=\"0.13\", expect_size=\"51561472\"] \n  7 -> 9 [size =\"51561472\"]\n  8 [size=\"35993600\", alpha=\"0.20\", expect_size=\"10798080\"] \n  8 -> 9 [size =\"10798080\"]\n  8 -> 10 [size =\"10798080\"]\n  8 -> 11 [size =\"10798080\"]\n  9 [size=\"130310827\", alpha=\"0.02\", expect_size=\"39093248\"] \n  10 [size=\"88255147\", alpha=\"0.02\", expect_size=\"26476544\"] \n  11 [size=\"69812907\", alpha=\"0.06\", expect_size=\"20943872\"] \n  12 [size=\"84503893\", alpha=\"0.20\", expect_size=\"25351168\"] \n  12 -> 13 [size =\"25351168\"]\n  13 [size=\"136960000\", alpha=\"0.07\", expect_size=\"41088000\"] \n  13 -> 14 [size =\"41088000\"]\n  13 -> 15 [size =\"41088000\"]\n  14 [size=\"126562987\", alpha=\"0.01\", expect_size=\"37968896\"] \n  15 [size=\"59600213\", alpha=\"0.05\", expect_size=\"17880064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72806400\", alpha=\"0.09\", expect_size=\"36403200\"] \n  1 -> 2 [size =\"36403200\"]\n  2 [size=\"97384448\", alpha=\"0.12\", expect_size=\"48692224\"] \n  2 -> 3 [size =\"48692224\"]\n  2 -> 4 [size =\"48692224\"]\n  3 [size=\"67790848\", alpha=\"0.10\", expect_size=\"33895424\"] \n  3 -> 5 [size =\"33895424\"]\n  4 [size=\"18845696\", alpha=\"0.19\", expect_size=\"9422848\"] \n  5 [size=\"64729088\", alpha=\"0.14\", expect_size=\"32364544\"] \n  5 -> 6 [size =\"32364544\"]\n  5 -> 7 [size =\"32364544\"]\n  6 [size=\"64104448\", alpha=\"0.20\", expect_size=\"32052224\"] \n  6 -> 8 [size =\"32052224\"]\n  6 -> 9 [size =\"32052224\"]\n  7 [size=\"22087680\", alpha=\"0.03\", expect_size=\"11043840\"] \n  8 [size=\"61949952\", alpha=\"0.05\", expect_size=\"30974976\"] \n  8 -> 10 [size =\"30974976\"]\n  9 [size=\"49696768\", alpha=\"0.07\", expect_size=\"24848384\"] \n  10 [size=\"29634560\", alpha=\"0.15\", expect_size=\"14817280\"] \n  10 -> 11 [size =\"14817280\"]\n  10 -> 12 [size =\"14817280\"]\n  11 [size=\"50976768\", alpha=\"0.17\", expect_size=\"25488384\"] \n  11 -> 13 [size =\"25488384\"]\n  12 [size=\"95565824\", alpha=\"0.07\", expect_size=\"47782912\"] \n  13 [size=\"56576000\", alpha=\"0.09\", expect_size=\"28288000\"] \n  13 -> 14 [size =\"28288000\"]\n  14 [size=\"102934528\", alpha=\"0.16\", expect_size=\"51467264\"] \n  14 -> 15 [size =\"51467264\"]\n  15 [size=\"98809856\", alpha=\"0.15\", expect_size=\"49404928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87296000\", alpha=\"0.05\", expect_size=\"26188800\"] \n  1 -> 10 [size =\"26188800\"]\n  1 -> 12 [size =\"26188800\"]\n  1 -> 13 [size =\"26188800\"]\n  2 [size=\"59470507\", alpha=\"0.18\", expect_size=\"17841152\"] \n  2 -> 10 [size =\"17841152\"]\n  3 [size=\"67276800\", alpha=\"0.15\", expect_size=\"20183040\"] \n  3 -> 14 [size =\"20183040\"]\n  4 [size=\"172045653\", alpha=\"0.12\", expect_size=\"51613696\"] \n  4 -> 10 [size =\"51613696\"]\n  4 -> 15 [size =\"51613696\"]\n  5 [size=\"159412907\", alpha=\"0.19\", expect_size=\"47823872\"] \n  5 -> 10 [size =\"47823872\"]\n  5 -> 15 [size =\"47823872\"]\n  6 [size=\"38553600\", alpha=\"0.06\", expect_size=\"11566080\"] \n  6 -> 9 [size =\"11566080\"]\n  6 -> 10 [size =\"11566080\"]\n  6 -> 11 [size =\"11566080\"]\n  6 -> 15 [size =\"11566080\"]\n  7 [size=\"132512427\", alpha=\"0.17\", expect_size=\"39753728\"] \n  7 -> 11 [size =\"39753728\"]\n  7 -> 15 [size =\"39753728\"]\n  8 [size=\"145657173\", alpha=\"0.13\", expect_size=\"43697152\"] \n  8 -> 9 [size =\"43697152\"]\n  8 -> 12 [size =\"43697152\"]\n  8 -> 15 [size =\"43697152\"]\n  9 [size=\"172479147\", alpha=\"0.03\", expect_size=\"51743744\"] \n  10 [size=\"56517973\", alpha=\"0.01\", expect_size=\"16955392\"] \n  11 [size=\"174230187\", alpha=\"0.16\", expect_size=\"52269056\"] \n  12 [size=\"54384640\", alpha=\"0.13\", expect_size=\"16315392\"] \n  13 [size=\"35085653\", alpha=\"0.04\", expect_size=\"10525696\"] \n  14 [size=\"152248320\", alpha=\"0.01\", expect_size=\"45674496\"] \n  15 [size=\"85527893\", alpha=\"0.10\", expect_size=\"25658368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107031040\", alpha=\"0.15\", expect_size=\"42812416\"] \n  1 -> 2 [size =\"42812416\"]\n  2 [size=\"79626240\", alpha=\"0.16\", expect_size=\"31850496\"] \n  2 -> 3 [size =\"31850496\"]\n  3 [size=\"121292800\", alpha=\"0.13\", expect_size=\"48517120\"] \n  3 -> 4 [size =\"48517120\"]\n  4 [size=\"119339520\", alpha=\"0.17\", expect_size=\"47735808\"] \n  4 -> 5 [size =\"47735808\"]\n  4 -> 6 [size =\"47735808\"]\n  5 [size=\"21322240\", alpha=\"0.02\", expect_size=\"8528896\"] \n  6 [size=\"84976640\", alpha=\"0.01\", expect_size=\"33990656\"] \n  6 -> 7 [size =\"33990656\"]\n  7 [size=\"60116480\", alpha=\"0.06\", expect_size=\"24046592\"] \n  7 -> 8 [size =\"24046592\"]\n  7 -> 9 [size =\"24046592\"]\n  8 [size=\"79301120\", alpha=\"0.15\", expect_size=\"31720448\"] \n  8 -> 10 [size =\"31720448\"]\n  8 -> 11 [size =\"31720448\"]\n  9 [size=\"77056000\", alpha=\"0.10\", expect_size=\"30822400\"] \n  9 -> 10 [size =\"30822400\"]\n  9 -> 11 [size =\"30822400\"]\n  10 [size=\"23398400\", alpha=\"0.08\", expect_size=\"9359360\"] \n  10 -> 12 [size =\"9359360\"]\n  11 [size=\"19415040\", alpha=\"0.15\", expect_size=\"7766016\"] \n  11 -> 12 [size =\"7766016\"]\n  12 [size=\"105379840\", alpha=\"0.13\", expect_size=\"42151936\"] \n  12 -> 13 [size =\"42151936\"]\n  12 -> 14 [size =\"42151936\"]\n  13 [size=\"79139840\", alpha=\"0.09\", expect_size=\"31655936\"] \n  13 -> 15 [size =\"31655936\"]\n  14 [size=\"36654080\", alpha=\"0.18\", expect_size=\"14661632\"] \n  14 -> 15 [size =\"14661632\"]\n  15 [size=\"18854400\", alpha=\"0.07\", expect_size=\"7541760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77928960\", alpha=\"0.12\", expect_size=\"31171584\"] \n  1 -> 13 [size =\"31171584\"]\n  1 -> 15 [size =\"31171584\"]\n  2 [size=\"96734720\", alpha=\"0.19\", expect_size=\"38693888\"] \n  2 -> 11 [size =\"38693888\"]\n  2 -> 12 [size =\"38693888\"]\n  2 -> 14 [size =\"38693888\"]\n  2 -> 15 [size =\"38693888\"]\n  3 [size=\"122565120\", alpha=\"0.05\", expect_size=\"49026048\"] \n  3 -> 12 [size =\"49026048\"]\n  3 -> 12 [size =\"49026048\"]\n  3 -> 14 [size =\"49026048\"]\n  3 -> 15 [size =\"49026048\"]\n  4 [size=\"108282880\", alpha=\"0.14\", expect_size=\"43313152\"] \n  4 -> 11 [size =\"43313152\"]\n  4 -> 12 [size =\"43313152\"]\n  4 -> 14 [size =\"43313152\"]\n  4 -> 15 [size =\"43313152\"]\n  5 [size=\"117619200\", alpha=\"0.06\", expect_size=\"47047680\"] \n  5 -> 11 [size =\"47047680\"]\n  5 -> 12 [size =\"47047680\"]\n  5 -> 14 [size =\"47047680\"]\n  5 -> 15 [size =\"47047680\"]\n  6 [size=\"91310080\", alpha=\"0.13\", expect_size=\"36524032\"] \n  6 -> 12 [size =\"36524032\"]\n  6 -> 12 [size =\"36524032\"]\n  6 -> 14 [size =\"36524032\"]\n  6 -> 15 [size =\"36524032\"]\n  7 [size=\"116518400\", alpha=\"0.15\", expect_size=\"46607360\"] \n  7 -> 14 [size =\"46607360\"]\n  8 [size=\"78922240\", alpha=\"0.02\", expect_size=\"31568896\"] \n  8 -> 11 [size =\"31568896\"]\n  8 -> 13 [size =\"31568896\"]\n  8 -> 14 [size =\"31568896\"]\n  8 -> 15 [size =\"31568896\"]\n  9 [size=\"61002240\", alpha=\"0.07\", expect_size=\"24400896\"] \n  9 -> 11 [size =\"24400896\"]\n  9 -> 14 [size =\"24400896\"]\n  9 -> 14 [size =\"24400896\"]\n  9 -> 15 [size =\"24400896\"]\n  10 [size=\"57620480\", alpha=\"0.09\", expect_size=\"23048192\"] \n  10 -> 15 [size =\"23048192\"]\n  11 [size=\"125470720\", alpha=\"0.17\", expect_size=\"50188288\"] \n  12 [size=\"79109120\", alpha=\"0.08\", expect_size=\"31643648\"] \n  13 [size=\"75397120\", alpha=\"0.13\", expect_size=\"30158848\"] \n  14 [size=\"106711040\", alpha=\"0.06\", expect_size=\"42684416\"] \n  15 [size=\"69140480\", alpha=\"0.04\", expect_size=\"27656192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22831787\", alpha=\"0.13\", expect_size=\"6849536\"] \n  1 -> 9 [size =\"6849536\"]\n  1 -> 11 [size =\"6849536\"]\n  1 -> 12 [size =\"6849536\"]\n  1 -> 13 [size =\"6849536\"]\n  2 [size=\"64651947\", alpha=\"0.01\", expect_size=\"19395584\"] \n  2 -> 8 [size =\"19395584\"]\n  2 -> 9 [size =\"19395584\"]\n  2 -> 10 [size =\"19395584\"]\n  2 -> 13 [size =\"19395584\"]\n  2 -> 14 [size =\"19395584\"]\n  3 [size=\"81090560\", alpha=\"0.03\", expect_size=\"24327168\"] \n  3 -> 8 [size =\"24327168\"]\n  3 -> 9 [size =\"24327168\"]\n  3 -> 12 [size =\"24327168\"]\n  3 -> 13 [size =\"24327168\"]\n  4 [size=\"90521600\", alpha=\"0.17\", expect_size=\"27156480\"] \n  4 -> 10 [size =\"27156480\"]\n  4 -> 11 [size =\"27156480\"]\n  4 -> 13 [size =\"27156480\"]\n  4 -> 13 [size =\"27156480\"]\n  4 -> 14 [size =\"27156480\"]\n  5 [size=\"61518507\", alpha=\"0.14\", expect_size=\"18455552\"] \n  5 -> 8 [size =\"18455552\"]\n  5 -> 10 [size =\"18455552\"]\n  6 [size=\"57767253\", alpha=\"0.10\", expect_size=\"17330176\"] \n  6 -> 8 [size =\"17330176\"]\n  6 -> 10 [size =\"17330176\"]\n  6 -> 13 [size =\"17330176\"]\n  7 [size=\"124081493\", alpha=\"0.16\", expect_size=\"37224448\"] \n  7 -> 10 [size =\"37224448\"]\n  7 -> 11 [size =\"37224448\"]\n  8 [size=\"67792213\", alpha=\"0.06\", expect_size=\"20337664\"] \n  9 [size=\"46247253\", alpha=\"0.20\", expect_size=\"13874176\"] \n  10 [size=\"119115093\", alpha=\"0.18\", expect_size=\"35734528\"] \n  10 -> 15 [size =\"35734528\"]\n  11 [size=\"64508587\", alpha=\"0.17\", expect_size=\"19352576\"] \n  12 [size=\"166458027\", alpha=\"0.09\", expect_size=\"49937408\"] \n  13 [size=\"172124160\", alpha=\"0.14\", expect_size=\"51637248\"] \n  14 [size=\"34843307\", alpha=\"0.10\", expect_size=\"10452992\"] \n  14 -> 15 [size =\"10452992\"]\n  15 [size=\"170922667\", alpha=\"0.03\", expect_size=\"51276800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86333440\", alpha=\"0.15\", expect_size=\"43166720\"] \n  1 -> 2 [size =\"43166720\"]\n  1 -> 3 [size =\"43166720\"]\n  2 [size=\"94359552\", alpha=\"0.14\", expect_size=\"47179776\"] \n  3 [size=\"14465024\", alpha=\"0.03\", expect_size=\"7232512\"] \n  3 -> 4 [size =\"7232512\"]\n  4 [size=\"84938752\", alpha=\"0.16\", expect_size=\"42469376\"] \n  4 -> 5 [size =\"42469376\"]\n  4 -> 6 [size =\"42469376\"]\n  5 [size=\"65447936\", alpha=\"0.16\", expect_size=\"32723968\"] \n  5 -> 7 [size =\"32723968\"]\n  5 -> 8 [size =\"32723968\"]\n  6 [size=\"13582336\", alpha=\"0.02\", expect_size=\"6791168\"] \n  7 [size=\"32774144\", alpha=\"0.08\", expect_size=\"16387072\"] \n  7 -> 9 [size =\"16387072\"]\n  8 [size=\"33230848\", alpha=\"0.13\", expect_size=\"16615424\"] \n  8 -> 10 [size =\"16615424\"]\n  9 [size=\"96915456\", alpha=\"0.05\", expect_size=\"48457728\"] \n  10 [size=\"99086336\", alpha=\"0.08\", expect_size=\"49543168\"] \n  10 -> 11 [size =\"49543168\"]\n  11 [size=\"59021312\", alpha=\"0.07\", expect_size=\"29510656\"] \n  11 -> 12 [size =\"29510656\"]\n  12 [size=\"37275648\", alpha=\"0.04\", expect_size=\"18637824\"] \n  12 -> 13 [size =\"18637824\"]\n  13 [size=\"103620608\", alpha=\"0.09\", expect_size=\"51810304\"] \n  13 -> 14 [size =\"51810304\"]\n  13 -> 15 [size =\"51810304\"]\n  14 [size=\"23212032\", alpha=\"0.12\", expect_size=\"11606016\"] \n  15 [size=\"98109440\", alpha=\"0.03\", expect_size=\"49054720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133406720\", alpha=\"0.15\", expect_size=\"40022016\"] \n  1 -> 4 [size =\"40022016\"]\n  2 [size=\"54446080\", alpha=\"0.05\", expect_size=\"16333824\"] \n  2 -> 5 [size =\"16333824\"]\n  3 [size=\"26968747\", alpha=\"0.07\", expect_size=\"8090624\"] \n  3 -> 6 [size =\"8090624\"]\n  4 [size=\"34450773\", alpha=\"0.05\", expect_size=\"10335232\"] \n  5 [size=\"98809173\", alpha=\"0.06\", expect_size=\"29642752\"] \n  5 -> 7 [size =\"29642752\"]\n  5 -> 8 [size =\"29642752\"]\n  6 [size=\"156091733\", alpha=\"0.05\", expect_size=\"46827520\"] \n  6 -> 7 [size =\"46827520\"]\n  6 -> 9 [size =\"46827520\"]\n  7 [size=\"131239253\", alpha=\"0.03\", expect_size=\"39371776\"] \n  7 -> 10 [size =\"39371776\"]\n  7 -> 11 [size =\"39371776\"]\n  8 [size=\"87961600\", alpha=\"0.15\", expect_size=\"26388480\"] \n  8 -> 12 [size =\"26388480\"]\n  9 [size=\"31870293\", alpha=\"0.06\", expect_size=\"9561088\"] \n  9 -> 12 [size =\"9561088\"]\n  10 [size=\"167307947\", alpha=\"0.10\", expect_size=\"50192384\"] \n  10 -> 13 [size =\"50192384\"]\n  11 [size=\"171857920\", alpha=\"0.05\", expect_size=\"51557376\"] \n  11 -> 14 [size =\"51557376\"]\n  12 [size=\"133348693\", alpha=\"0.11\", expect_size=\"40004608\"] \n  13 [size=\"18783573\", alpha=\"0.11\", expect_size=\"5635072\"] \n  13 -> 15 [size =\"5635072\"]\n  14 [size=\"70362453\", alpha=\"0.18\", expect_size=\"21108736\"] \n  15 [size=\"108045653\", alpha=\"0.10\", expect_size=\"32413696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53059584\", alpha=\"0.19\", expect_size=\"26529792\"] \n  1 -> 6 [size =\"26529792\"]\n  1 -> 7 [size =\"26529792\"]\n  1 -> 9 [size =\"26529792\"]\n  1 -> 11 [size =\"26529792\"]\n  2 [size=\"54075392\", alpha=\"0.17\", expect_size=\"27037696\"] \n  2 -> 6 [size =\"27037696\"]\n  2 -> 7 [size =\"27037696\"]\n  2 -> 8 [size =\"27037696\"]\n  2 -> 9 [size =\"27037696\"]\n  3 [size=\"96137216\", alpha=\"0.02\", expect_size=\"48068608\"] \n  3 -> 7 [size =\"48068608\"]\n  3 -> 8 [size =\"48068608\"]\n  3 -> 9 [size =\"48068608\"]\n  3 -> 11 [size =\"48068608\"]\n  4 [size=\"92266496\", alpha=\"0.16\", expect_size=\"46133248\"] \n  4 -> 7 [size =\"46133248\"]\n  4 -> 9 [size =\"46133248\"]\n  4 -> 10 [size =\"46133248\"]\n  5 [size=\"13432832\", alpha=\"0.05\", expect_size=\"6716416\"] \n  5 -> 6 [size =\"6716416\"]\n  5 -> 8 [size =\"6716416\"]\n  5 -> 9 [size =\"6716416\"]\n  6 [size=\"48994304\", alpha=\"0.09\", expect_size=\"24497152\"] \n  6 -> 13 [size =\"24497152\"]\n  6 -> 15 [size =\"24497152\"]\n  7 [size=\"104355840\", alpha=\"0.00\", expect_size=\"52177920\"] \n  7 -> 12 [size =\"52177920\"]\n  7 -> 13 [size =\"52177920\"]\n  7 -> 15 [size =\"52177920\"]\n  8 [size=\"28203008\", alpha=\"0.11\", expect_size=\"14101504\"] \n  8 -> 12 [size =\"14101504\"]\n  8 -> 13 [size =\"14101504\"]\n  8 -> 15 [size =\"14101504\"]\n  9 [size=\"90191872\", alpha=\"0.17\", expect_size=\"45095936\"] \n  9 -> 13 [size =\"45095936\"]\n  9 -> 14 [size =\"45095936\"]\n  9 -> 15 [size =\"45095936\"]\n  10 [size=\"41541632\", alpha=\"0.15\", expect_size=\"20770816\"] \n  10 -> 12 [size =\"20770816\"]\n  10 -> 14 [size =\"20770816\"]\n  11 [size=\"85538816\", alpha=\"0.06\", expect_size=\"42769408\"] \n  11 -> 13 [size =\"42769408\"]\n  11 -> 14 [size =\"42769408\"]\n  11 -> 15 [size =\"42769408\"]\n  12 [size=\"82722816\", alpha=\"0.13\", expect_size=\"41361408\"] \n  13 [size=\"70023168\", alpha=\"0.19\", expect_size=\"35011584\"] \n  14 [size=\"78934016\", alpha=\"0.11\", expect_size=\"39467008\"] \n  15 [size=\"60983296\", alpha=\"0.16\", expect_size=\"30491648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65098240\", alpha=\"0.14\", expect_size=\"26039296\"] \n  1 -> 4 [size =\"26039296\"]\n  1 -> 7 [size =\"26039296\"]\n  2 [size=\"120570880\", alpha=\"0.01\", expect_size=\"48228352\"] \n  2 -> 5 [size =\"48228352\"]\n  3 [size=\"113472000\", alpha=\"0.13\", expect_size=\"45388800\"] \n  3 -> 4 [size =\"45388800\"]\n  3 -> 6 [size =\"45388800\"]\n  4 [size=\"35302400\", alpha=\"0.09\", expect_size=\"14120960\"] \n  4 -> 8 [size =\"14120960\"]\n  4 -> 9 [size =\"14120960\"]\n  4 -> 11 [size =\"14120960\"]\n  4 -> 12 [size =\"14120960\"]\n  5 [size=\"86095360\", alpha=\"0.16\", expect_size=\"34438144\"] \n  5 -> 8 [size =\"34438144\"]\n  5 -> 13 [size =\"34438144\"]\n  6 [size=\"41976320\", alpha=\"0.02\", expect_size=\"16790528\"] \n  6 -> 10 [size =\"16790528\"]\n  6 -> 12 [size =\"16790528\"]\n  7 [size=\"105282560\", alpha=\"0.03\", expect_size=\"42113024\"] \n  7 -> 9 [size =\"42113024\"]\n  7 -> 11 [size =\"42113024\"]\n  7 -> 12 [size =\"42113024\"]\n  7 -> 13 [size =\"42113024\"]\n  8 [size=\"58818560\", alpha=\"0.05\", expect_size=\"23527424\"] \n  8 -> 14 [size =\"23527424\"]\n  8 -> 15 [size =\"23527424\"]\n  9 [size=\"44508160\", alpha=\"0.11\", expect_size=\"17803264\"] \n  9 -> 15 [size =\"17803264\"]\n  10 [size=\"62197760\", alpha=\"0.02\", expect_size=\"24879104\"] \n  10 -> 14 [size =\"24879104\"]\n  11 [size=\"72714240\", alpha=\"0.11\", expect_size=\"29085696\"] \n  11 -> 14 [size =\"29085696\"]\n  11 -> 15 [size =\"29085696\"]\n  12 [size=\"35118080\", alpha=\"0.10\", expect_size=\"14047232\"] \n  13 [size=\"43824640\", alpha=\"0.08\", expect_size=\"17529856\"] \n  13 -> 14 [size =\"17529856\"]\n  14 [size=\"122332160\", alpha=\"0.04\", expect_size=\"48932864\"] \n  15 [size=\"56995840\", alpha=\"0.10\", expect_size=\"22798336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93373440\", alpha=\"0.16\", expect_size=\"37349376\"] \n  1 -> 12 [size =\"37349376\"]\n  1 -> 15 [size =\"37349376\"]\n  2 [size=\"114283520\", alpha=\"0.00\", expect_size=\"45713408\"] \n  2 -> 13 [size =\"45713408\"]\n  2 -> 15 [size =\"45713408\"]\n  3 [size=\"82984960\", alpha=\"0.18\", expect_size=\"33193984\"] \n  3 -> 14 [size =\"33193984\"]\n  4 [size=\"42332160\", alpha=\"0.06\", expect_size=\"16932864\"] \n  4 -> 12 [size =\"16932864\"]\n  4 -> 15 [size =\"16932864\"]\n  5 [size=\"46476800\", alpha=\"0.10\", expect_size=\"18590720\"] \n  6 [size=\"52170240\", alpha=\"0.02\", expect_size=\"20868096\"] \n  6 -> 12 [size =\"20868096\"]\n  7 [size=\"41548800\", alpha=\"0.14\", expect_size=\"16619520\"] \n  7 -> 15 [size =\"16619520\"]\n  8 [size=\"13864960\", alpha=\"0.17\", expect_size=\"5545984\"] \n  8 -> 12 [size =\"5545984\"]\n  9 [size=\"62284800\", alpha=\"0.19\", expect_size=\"24913920\"] \n  9 -> 12 [size =\"24913920\"]\n  10 [size=\"88058880\", alpha=\"0.17\", expect_size=\"35223552\"] \n  11 [size=\"32604160\", alpha=\"0.12\", expect_size=\"13041664\"] \n  12 [size=\"128478720\", alpha=\"0.20\", expect_size=\"51391488\"] \n  13 [size=\"129154560\", alpha=\"0.15\", expect_size=\"51661824\"] \n  14 [size=\"114455040\", alpha=\"0.04\", expect_size=\"45782016\"] \n  15 [size=\"31705600\", alpha=\"0.12\", expect_size=\"12682240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105262080\", alpha=\"0.14\", expect_size=\"42104832\"] \n  1 -> 12 [size =\"42104832\"]\n  2 [size=\"106782720\", alpha=\"0.12\", expect_size=\"42713088\"] \n  2 -> 12 [size =\"42713088\"]\n  2 -> 14 [size =\"42713088\"]\n  2 -> 15 [size =\"42713088\"]\n  3 [size=\"95365120\", alpha=\"0.08\", expect_size=\"38146048\"] \n  3 -> 15 [size =\"38146048\"]\n  4 [size=\"20730880\", alpha=\"0.08\", expect_size=\"8292352\"] \n  4 -> 14 [size =\"8292352\"]\n  5 [size=\"43558400\", alpha=\"0.17\", expect_size=\"17423360\"] \n  5 -> 15 [size =\"17423360\"]\n  6 [size=\"113443840\", alpha=\"0.08\", expect_size=\"45377536\"] \n  6 -> 12 [size =\"45377536\"]\n  6 -> 13 [size =\"45377536\"]\n  6 -> 14 [size =\"45377536\"]\n  7 [size=\"116367360\", alpha=\"0.02\", expect_size=\"46546944\"] \n  7 -> 12 [size =\"46546944\"]\n  8 [size=\"99998720\", alpha=\"0.16\", expect_size=\"39999488\"] \n  8 -> 12 [size =\"39999488\"]\n  9 [size=\"51151360\", alpha=\"0.03\", expect_size=\"20460544\"] \n  9 -> 12 [size =\"20460544\"]\n  10 [size=\"42240000\", alpha=\"0.14\", expect_size=\"16896000\"] \n  10 -> 12 [size =\"16896000\"]\n  11 [size=\"83934720\", alpha=\"0.02\", expect_size=\"33573888\"] \n  11 -> 12 [size =\"33573888\"]\n  12 [size=\"45911040\", alpha=\"0.14\", expect_size=\"18364416\"] \n  13 [size=\"115747840\", alpha=\"0.13\", expect_size=\"46299136\"] \n  14 [size=\"43760640\", alpha=\"0.08\", expect_size=\"17504256\"] \n  15 [size=\"90531840\", alpha=\"0.04\", expect_size=\"36212736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77918720\", alpha=\"0.07\", expect_size=\"31167488\"] \n  1 -> 8 [size =\"31167488\"]\n  2 [size=\"35110400\", alpha=\"0.12\", expect_size=\"14044160\"] \n  2 -> 6 [size =\"14044160\"]\n  2 -> 7 [size =\"14044160\"]\n  3 [size=\"120944640\", alpha=\"0.02\", expect_size=\"48377856\"] \n  3 -> 7 [size =\"48377856\"]\n  4 [size=\"72880640\", alpha=\"0.14\", expect_size=\"29152256\"] \n  4 -> 5 [size =\"29152256\"]\n  4 -> 6 [size =\"29152256\"]\n  5 [size=\"97807360\", alpha=\"0.09\", expect_size=\"39122944\"] \n  5 -> 10 [size =\"39122944\"]\n  5 -> 11 [size =\"39122944\"]\n  5 -> 12 [size =\"39122944\"]\n  5 -> 13 [size =\"39122944\"]\n  6 [size=\"39948800\", alpha=\"0.09\", expect_size=\"15979520\"] \n  6 -> 9 [size =\"15979520\"]\n  6 -> 13 [size =\"15979520\"]\n  7 [size=\"14602240\", alpha=\"0.01\", expect_size=\"5840896\"] \n  7 -> 9 [size =\"5840896\"]\n  7 -> 10 [size =\"5840896\"]\n  7 -> 12 [size =\"5840896\"]\n  8 [size=\"46246400\", alpha=\"0.19\", expect_size=\"18498560\"] \n  8 -> 9 [size =\"18498560\"]\n  8 -> 10 [size =\"18498560\"]\n  9 [size=\"53539840\", alpha=\"0.16\", expect_size=\"21415936\"] \n  10 [size=\"89482240\", alpha=\"0.03\", expect_size=\"35792896\"] \n  10 -> 14 [size =\"35792896\"]\n  10 -> 15 [size =\"35792896\"]\n  11 [size=\"32291840\", alpha=\"0.18\", expect_size=\"12916736\"] \n  11 -> 15 [size =\"12916736\"]\n  12 [size=\"74045440\", alpha=\"0.04\", expect_size=\"29618176\"] \n  12 -> 14 [size =\"29618176\"]\n  13 [size=\"25651200\", alpha=\"0.12\", expect_size=\"10260480\"] \n  13 -> 14 [size =\"10260480\"]\n  13 -> 15 [size =\"10260480\"]\n  14 [size=\"35430400\", alpha=\"0.17\", expect_size=\"14172160\"] \n  15 [size=\"119831040\", alpha=\"0.15\", expect_size=\"47932416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51435520\", alpha=\"0.12\", expect_size=\"15430656\"] \n  2 [size=\"53466453\", alpha=\"0.11\", expect_size=\"16039936\"] \n  2 -> 3 [size =\"16039936\"]\n  2 -> 4 [size =\"16039936\"]\n  3 [size=\"82353493\", alpha=\"0.11\", expect_size=\"24706048\"] \n  4 [size=\"122900480\", alpha=\"0.18\", expect_size=\"36870144\"] \n  4 -> 5 [size =\"36870144\"]\n  4 -> 6 [size =\"36870144\"]\n  5 [size=\"131843413\", alpha=\"0.04\", expect_size=\"39553024\"] \n  6 [size=\"43929600\", alpha=\"0.00\", expect_size=\"13178880\"] \n  6 -> 7 [size =\"13178880\"]\n  7 [size=\"18961067\", alpha=\"0.11\", expect_size=\"5688320\"] \n  7 -> 8 [size =\"5688320\"]\n  8 [size=\"98570240\", alpha=\"0.14\", expect_size=\"29571072\"] \n  8 -> 9 [size =\"29571072\"]\n  9 [size=\"163696640\", alpha=\"0.15\", expect_size=\"49108992\"] \n  9 -> 10 [size =\"49108992\"]\n  10 [size=\"49223680\", alpha=\"0.20\", expect_size=\"14767104\"] \n  10 -> 11 [size =\"14767104\"]\n  11 [size=\"37829973\", alpha=\"0.18\", expect_size=\"11348992\"] \n  11 -> 12 [size =\"11348992\"]\n  12 [size=\"132717227\", alpha=\"0.10\", expect_size=\"39815168\"] \n  12 -> 13 [size =\"39815168\"]\n  13 [size=\"65481387\", alpha=\"0.07\", expect_size=\"19644416\"] \n  13 -> 14 [size =\"19644416\"]\n  13 -> 15 [size =\"19644416\"]\n  14 [size=\"150483627\", alpha=\"0.08\", expect_size=\"45145088\"] \n  15 [size=\"135543467\", alpha=\"0.17\", expect_size=\"40663040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91487573\", alpha=\"0.07\", expect_size=\"27446272\"] \n  1 -> 12 [size =\"27446272\"]\n  1 -> 14 [size =\"27446272\"]\n  2 [size=\"128310613\", alpha=\"0.13\", expect_size=\"38493184\"] \n  2 -> 12 [size =\"38493184\"]\n  2 -> 13 [size =\"38493184\"]\n  2 -> 14 [size =\"38493184\"]\n  2 -> 15 [size =\"38493184\"]\n  3 [size=\"58439680\", alpha=\"0.10\", expect_size=\"17531904\"] \n  3 -> 14 [size =\"17531904\"]\n  3 -> 15 [size =\"17531904\"]\n  4 [size=\"114442240\", alpha=\"0.17\", expect_size=\"34332672\"] \n  4 -> 13 [size =\"34332672\"]\n  4 -> 15 [size =\"34332672\"]\n  5 [size=\"24214187\", alpha=\"0.13\", expect_size=\"7264256\"] \n  5 -> 15 [size =\"7264256\"]\n  6 [size=\"165393067\", alpha=\"0.19\", expect_size=\"49617920\"] \n  6 -> 12 [size =\"49617920\"]\n  7 [size=\"102232747\", alpha=\"0.15\", expect_size=\"30669824\"] \n  7 -> 12 [size =\"30669824\"]\n  8 [size=\"143936853\", alpha=\"0.01\", expect_size=\"43181056\"] \n  9 [size=\"20476587\", alpha=\"0.05\", expect_size=\"6142976\"] \n  9 -> 11 [size =\"6142976\"]\n  9 -> 13 [size =\"6142976\"]\n  10 [size=\"98355200\", alpha=\"0.14\", expect_size=\"29506560\"] \n  10 -> 11 [size =\"29506560\"]\n  10 -> 12 [size =\"29506560\"]\n  10 -> 13 [size =\"29506560\"]\n  10 -> 15 [size =\"29506560\"]\n  11 [size=\"17506987\", alpha=\"0.15\", expect_size=\"5252096\"] \n  12 [size=\"71864320\", alpha=\"0.15\", expect_size=\"21559296\"] \n  13 [size=\"171110400\", alpha=\"0.06\", expect_size=\"51333120\"] \n  14 [size=\"89330347\", alpha=\"0.19\", expect_size=\"26799104\"] \n  15 [size=\"61982720\", alpha=\"0.05\", expect_size=\"18594816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15859712\", alpha=\"0.19\", expect_size=\"7929856\"] \n  1 -> 2 [size =\"7929856\"]\n  2 [size=\"33099776\", alpha=\"0.17\", expect_size=\"16549888\"] \n  2 -> 3 [size =\"16549888\"]\n  3 [size=\"72931328\", alpha=\"0.20\", expect_size=\"36465664\"] \n  3 -> 4 [size =\"36465664\"]\n  4 [size=\"54173696\", alpha=\"0.02\", expect_size=\"27086848\"] \n  4 -> 5 [size =\"27086848\"]\n  5 [size=\"77963264\", alpha=\"0.03\", expect_size=\"38981632\"] \n  5 -> 6 [size =\"38981632\"]\n  6 [size=\"81336320\", alpha=\"0.20\", expect_size=\"40668160\"] \n  6 -> 7 [size =\"40668160\"]\n  7 [size=\"91103232\", alpha=\"0.16\", expect_size=\"45551616\"] \n  7 -> 8 [size =\"45551616\"]\n  8 [size=\"55859200\", alpha=\"0.13\", expect_size=\"27929600\"] \n  8 -> 9 [size =\"27929600\"]\n  9 [size=\"12357632\", alpha=\"0.12\", expect_size=\"6178816\"] \n  9 -> 10 [size =\"6178816\"]\n  10 [size=\"63905792\", alpha=\"0.16\", expect_size=\"31952896\"] \n  10 -> 11 [size =\"31952896\"]\n  11 [size=\"37451776\", alpha=\"0.05\", expect_size=\"18725888\"] \n  11 -> 12 [size =\"18725888\"]\n  12 [size=\"32735232\", alpha=\"0.03\", expect_size=\"16367616\"] \n  12 -> 13 [size =\"16367616\"]\n  13 [size=\"16277504\", alpha=\"0.19\", expect_size=\"8138752\"] \n  13 -> 14 [size =\"8138752\"]\n  14 [size=\"14579712\", alpha=\"0.13\", expect_size=\"7289856\"] \n  14 -> 15 [size =\"7289856\"]\n  15 [size=\"24276992\", alpha=\"0.18\", expect_size=\"12138496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91695787\", alpha=\"0.20\", expect_size=\"27508736\"] \n  2 [size=\"146179413\", alpha=\"0.09\", expect_size=\"43853824\"] \n  2 -> 3 [size =\"43853824\"]\n  3 [size=\"144653653\", alpha=\"0.02\", expect_size=\"43396096\"] \n  3 -> 4 [size =\"43396096\"]\n  4 [size=\"48855040\", alpha=\"0.15\", expect_size=\"14656512\"] \n  4 -> 5 [size =\"14656512\"]\n  4 -> 6 [size =\"14656512\"]\n  5 [size=\"53722453\", alpha=\"0.18\", expect_size=\"16116736\"] \n  6 [size=\"42257067\", alpha=\"0.02\", expect_size=\"12677120\"] \n  6 -> 7 [size =\"12677120\"]\n  7 [size=\"158808747\", alpha=\"0.10\", expect_size=\"47642624\"] \n  7 -> 8 [size =\"47642624\"]\n  7 -> 9 [size =\"47642624\"]\n  8 [size=\"151668053\", alpha=\"0.14\", expect_size=\"45500416\"] \n  8 -> 10 [size =\"45500416\"]\n  9 [size=\"141513387\", alpha=\"0.05\", expect_size=\"42454016\"] \n  10 [size=\"144602453\", alpha=\"0.08\", expect_size=\"43380736\"] \n  10 -> 11 [size =\"43380736\"]\n  10 -> 12 [size =\"43380736\"]\n  11 [size=\"81271467\", alpha=\"0.05\", expect_size=\"24381440\"] \n  12 [size=\"79759360\", alpha=\"0.09\", expect_size=\"23927808\"] \n  12 -> 13 [size =\"23927808\"]\n  13 [size=\"154159787\", alpha=\"0.19\", expect_size=\"46247936\"] \n  13 -> 14 [size =\"46247936\"]\n  13 -> 15 [size =\"46247936\"]\n  14 [size=\"173404160\", alpha=\"0.08\", expect_size=\"52021248\"] \n  15 [size=\"136567467\", alpha=\"0.13\", expect_size=\"40970240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80295936\", alpha=\"0.15\", expect_size=\"40147968\"] \n  1 -> 4 [size =\"40147968\"]\n  1 -> 6 [size =\"40147968\"]\n  2 [size=\"35426304\", alpha=\"0.04\", expect_size=\"17713152\"] \n  3 [size=\"37859328\", alpha=\"0.14\", expect_size=\"18929664\"] \n  3 -> 5 [size =\"18929664\"]\n  4 [size=\"94353408\", alpha=\"0.10\", expect_size=\"47176704\"] \n  4 -> 8 [size =\"47176704\"]\n  5 [size=\"10909696\", alpha=\"0.12\", expect_size=\"5454848\"] \n  5 -> 7 [size =\"5454848\"]\n  5 -> 8 [size =\"5454848\"]\n  6 [size=\"92508160\", alpha=\"0.09\", expect_size=\"46254080\"] \n  6 -> 7 [size =\"46254080\"]\n  6 -> 9 [size =\"46254080\"]\n  7 [size=\"92598272\", alpha=\"0.09\", expect_size=\"46299136\"] \n  7 -> 10 [size =\"46299136\"]\n  7 -> 11 [size =\"46299136\"]\n  8 [size=\"56137728\", alpha=\"0.18\", expect_size=\"28068864\"] \n  9 [size=\"29286400\", alpha=\"0.18\", expect_size=\"14643200\"] \n  10 [size=\"11472896\", alpha=\"0.18\", expect_size=\"5736448\"] \n  10 -> 13 [size =\"5736448\"]\n  11 [size=\"12099584\", alpha=\"0.09\", expect_size=\"6049792\"] \n  11 -> 12 [size =\"6049792\"]\n  12 [size=\"83578880\", alpha=\"0.09\", expect_size=\"41789440\"] \n  13 [size=\"101492736\", alpha=\"0.07\", expect_size=\"50746368\"] \n  13 -> 14 [size =\"50746368\"]\n  13 -> 15 [size =\"50746368\"]\n  14 [size=\"71452672\", alpha=\"0.01\", expect_size=\"35726336\"] \n  15 [size=\"24473600\", alpha=\"0.01\", expect_size=\"12236800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50008064\", alpha=\"0.08\", expect_size=\"25004032\"] \n  1 -> 11 [size =\"25004032\"]\n  1 -> 13 [size =\"25004032\"]\n  1 -> 15 [size =\"25004032\"]\n  2 [size=\"53049344\", alpha=\"0.03\", expect_size=\"26524672\"] \n  2 -> 11 [size =\"26524672\"]\n  2 -> 13 [size =\"26524672\"]\n  3 [size=\"92753920\", alpha=\"0.00\", expect_size=\"46376960\"] \n  3 -> 11 [size =\"46376960\"]\n  3 -> 14 [size =\"46376960\"]\n  3 -> 15 [size =\"46376960\"]\n  4 [size=\"12158976\", alpha=\"0.01\", expect_size=\"6079488\"] \n  4 -> 10 [size =\"6079488\"]\n  4 -> 15 [size =\"6079488\"]\n  5 [size=\"73705472\", alpha=\"0.11\", expect_size=\"36852736\"] \n  6 [size=\"13959168\", alpha=\"0.07\", expect_size=\"6979584\"] \n  6 -> 10 [size =\"6979584\"]\n  6 -> 11 [size =\"6979584\"]\n  6 -> 15 [size =\"6979584\"]\n  7 [size=\"35188736\", alpha=\"0.01\", expect_size=\"17594368\"] \n  7 -> 12 [size =\"17594368\"]\n  8 [size=\"77645824\", alpha=\"0.02\", expect_size=\"38822912\"] \n  8 -> 10 [size =\"38822912\"]\n  8 -> 11 [size =\"38822912\"]\n  9 [size=\"44976128\", alpha=\"0.06\", expect_size=\"22488064\"] \n  9 -> 11 [size =\"22488064\"]\n  9 -> 15 [size =\"22488064\"]\n  10 [size=\"14610432\", alpha=\"0.13\", expect_size=\"7305216\"] \n  11 [size=\"44437504\", alpha=\"0.08\", expect_size=\"22218752\"] \n  12 [size=\"81502208\", alpha=\"0.17\", expect_size=\"40751104\"] \n  13 [size=\"94734336\", alpha=\"0.16\", expect_size=\"47367168\"] \n  14 [size=\"95932416\", alpha=\"0.08\", expect_size=\"47966208\"] \n  15 [size=\"98652160\", alpha=\"0.04\", expect_size=\"49326080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43476480\", alpha=\"0.04\", expect_size=\"17390592\"] \n  1 -> 5 [size =\"17390592\"]\n  1 -> 6 [size =\"17390592\"]\n  1 -> 7 [size =\"17390592\"]\n  1 -> 8 [size =\"17390592\"]\n  2 [size=\"98777600\", alpha=\"0.02\", expect_size=\"39511040\"] \n  2 -> 6 [size =\"39511040\"]\n  2 -> 7 [size =\"39511040\"]\n  2 -> 8 [size =\"39511040\"]\n  3 [size=\"16276480\", alpha=\"0.08\", expect_size=\"6510592\"] \n  3 -> 6 [size =\"6510592\"]\n  3 -> 7 [size =\"6510592\"]\n  3 -> 8 [size =\"6510592\"]\n  4 [size=\"28057600\", alpha=\"0.05\", expect_size=\"11223040\"] \n  4 -> 6 [size =\"11223040\"]\n  4 -> 7 [size =\"11223040\"]\n  4 -> 8 [size =\"11223040\"]\n  5 [size=\"59783680\", alpha=\"0.06\", expect_size=\"23913472\"] \n  5 -> 9 [size =\"23913472\"]\n  6 [size=\"91863040\", alpha=\"0.02\", expect_size=\"36745216\"] \n  6 -> 10 [size =\"36745216\"]\n  6 -> 11 [size =\"36745216\"]\n  6 -> 12 [size =\"36745216\"]\n  7 [size=\"124456960\", alpha=\"0.16\", expect_size=\"49782784\"] \n  7 -> 10 [size =\"49782784\"]\n  7 -> 12 [size =\"49782784\"]\n  8 [size=\"16581120\", alpha=\"0.05\", expect_size=\"6632448\"] \n  8 -> 9 [size =\"6632448\"]\n  9 [size=\"66086400\", alpha=\"0.03\", expect_size=\"26434560\"] \n  9 -> 13 [size =\"26434560\"]\n  9 -> 14 [size =\"26434560\"]\n  10 [size=\"78343680\", alpha=\"0.04\", expect_size=\"31337472\"] \n  10 -> 14 [size =\"31337472\"]\n  10 -> 15 [size =\"31337472\"]\n  11 [size=\"120217600\", alpha=\"0.12\", expect_size=\"48087040\"] \n  11 -> 14 [size =\"48087040\"]\n  11 -> 15 [size =\"48087040\"]\n  12 [size=\"24015360\", alpha=\"0.11\", expect_size=\"9606144\"] \n  12 -> 13 [size =\"9606144\"]\n  12 -> 14 [size =\"9606144\"]\n  13 [size=\"36275200\", alpha=\"0.08\", expect_size=\"14510080\"] \n  14 [size=\"83059200\", alpha=\"0.11\", expect_size=\"33223680\"] \n  15 [size=\"110072320\", alpha=\"0.02\", expect_size=\"44028928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69468160\", alpha=\"0.12\", expect_size=\"34734080\"] \n  1 -> 10 [size =\"34734080\"]\n  1 -> 11 [size =\"34734080\"]\n  1 -> 13 [size =\"34734080\"]\n  2 [size=\"88721408\", alpha=\"0.06\", expect_size=\"44360704\"] \n  2 -> 10 [size =\"44360704\"]\n  2 -> 12 [size =\"44360704\"]\n  2 -> 14 [size =\"44360704\"]\n  2 -> 15 [size =\"44360704\"]\n  3 [size=\"18724864\", alpha=\"0.11\", expect_size=\"9362432\"] \n  3 -> 10 [size =\"9362432\"]\n  3 -> 13 [size =\"9362432\"]\n  3 -> 14 [size =\"9362432\"]\n  3 -> 15 [size =\"9362432\"]\n  4 [size=\"25356288\", alpha=\"0.05\", expect_size=\"12678144\"] \n  4 -> 12 [size =\"12678144\"]\n  4 -> 15 [size =\"12678144\"]\n  5 [size=\"69650432\", alpha=\"0.05\", expect_size=\"34825216\"] \n  5 -> 10 [size =\"34825216\"]\n  5 -> 12 [size =\"34825216\"]\n  5 -> 14 [size =\"34825216\"]\n  6 [size=\"65460224\", alpha=\"0.10\", expect_size=\"32730112\"] \n  6 -> 11 [size =\"32730112\"]\n  6 -> 12 [size =\"32730112\"]\n  6 -> 13 [size =\"32730112\"]\n  6 -> 14 [size =\"32730112\"]\n  6 -> 15 [size =\"32730112\"]\n  7 [size=\"61206528\", alpha=\"0.17\", expect_size=\"30603264\"] \n  7 -> 10 [size =\"30603264\"]\n  7 -> 11 [size =\"30603264\"]\n  7 -> 12 [size =\"30603264\"]\n  7 -> 14 [size =\"30603264\"]\n  8 [size=\"74612736\", alpha=\"0.20\", expect_size=\"37306368\"] \n  8 -> 13 [size =\"37306368\"]\n  9 [size=\"75077632\", alpha=\"0.02\", expect_size=\"37538816\"] \n  9 -> 13 [size =\"37538816\"]\n  10 [size=\"83603456\", alpha=\"0.09\", expect_size=\"41801728\"] \n  11 [size=\"32958464\", alpha=\"0.09\", expect_size=\"16479232\"] \n  12 [size=\"91740160\", alpha=\"0.07\", expect_size=\"45870080\"] \n  13 [size=\"26923008\", alpha=\"0.12\", expect_size=\"13461504\"] \n  14 [size=\"78082048\", alpha=\"0.06\", expect_size=\"39041024\"] \n  15 [size=\"99397632\", alpha=\"0.19\", expect_size=\"49698816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81725440\", alpha=\"0.09\", expect_size=\"24517632\"] \n  1 -> 4 [size =\"24517632\"]\n  2 [size=\"28074667\", alpha=\"0.00\", expect_size=\"8422400\"] \n  2 -> 5 [size =\"8422400\"]\n  2 -> 6 [size =\"8422400\"]\n  3 [size=\"70495573\", alpha=\"0.01\", expect_size=\"21148672\"] \n  3 -> 5 [size =\"21148672\"]\n  4 [size=\"115957760\", alpha=\"0.01\", expect_size=\"34787328\"] \n  4 -> 7 [size =\"34787328\"]\n  5 [size=\"67799040\", alpha=\"0.06\", expect_size=\"20339712\"] \n  6 [size=\"58579627\", alpha=\"0.04\", expect_size=\"17573888\"] \n  6 -> 8 [size =\"17573888\"]\n  7 [size=\"167560533\", alpha=\"0.11\", expect_size=\"50268160\"] \n  7 -> 9 [size =\"50268160\"]\n  8 [size=\"69133653\", alpha=\"0.03\", expect_size=\"20740096\"] \n  9 [size=\"153965227\", alpha=\"0.08\", expect_size=\"46189568\"] \n  9 -> 10 [size =\"46189568\"]\n  9 -> 11 [size =\"46189568\"]\n  10 [size=\"18339840\", alpha=\"0.03\", expect_size=\"5501952\"] \n  10 -> 12 [size =\"5501952\"]\n  10 -> 14 [size =\"5501952\"]\n  11 [size=\"38997333\", alpha=\"0.07\", expect_size=\"11699200\"] \n  11 -> 13 [size =\"11699200\"]\n  12 [size=\"109134507\", alpha=\"0.17\", expect_size=\"32740352\"] \n  13 [size=\"110049280\", alpha=\"0.19\", expect_size=\"33014784\"] \n  14 [size=\"121422507\", alpha=\"0.02\", expect_size=\"36426752\"] \n  14 -> 15 [size =\"36426752\"]\n  15 [size=\"130628267\", alpha=\"0.16\", expect_size=\"39188480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93508267\", alpha=\"0.03\", expect_size=\"28052480\"] \n  1 -> 2 [size =\"28052480\"]\n  2 [size=\"85988693\", alpha=\"0.17\", expect_size=\"25796608\"] \n  2 -> 3 [size =\"25796608\"]\n  3 [size=\"82111147\", alpha=\"0.13\", expect_size=\"24633344\"] \n  3 -> 4 [size =\"24633344\"]\n  4 [size=\"122251947\", alpha=\"0.11\", expect_size=\"36675584\"] \n  4 -> 5 [size =\"36675584\"]\n  5 [size=\"86582613\", alpha=\"0.01\", expect_size=\"25974784\"] \n  5 -> 6 [size =\"25974784\"]\n  6 [size=\"74178560\", alpha=\"0.13\", expect_size=\"22253568\"] \n  6 -> 7 [size =\"22253568\"]\n  7 [size=\"127310507\", alpha=\"0.00\", expect_size=\"38193152\"] \n  7 -> 8 [size =\"38193152\"]\n  8 [size=\"161105920\", alpha=\"0.10\", expect_size=\"48331776\"] \n  8 -> 9 [size =\"48331776\"]\n  9 [size=\"52920320\", alpha=\"0.02\", expect_size=\"15876096\"] \n  9 -> 10 [size =\"15876096\"]\n  10 [size=\"22787413\", alpha=\"0.10\", expect_size=\"6836224\"] \n  10 -> 11 [size =\"6836224\"]\n  11 [size=\"38038187\", alpha=\"0.20\", expect_size=\"11411456\"] \n  11 -> 12 [size =\"11411456\"]\n  12 [size=\"60613973\", alpha=\"0.02\", expect_size=\"18184192\"] \n  12 -> 13 [size =\"18184192\"]\n  13 [size=\"34051413\", alpha=\"0.16\", expect_size=\"10215424\"] \n  13 -> 14 [size =\"10215424\"]\n  14 [size=\"139192320\", alpha=\"0.13\", expect_size=\"41757696\"] \n  14 -> 15 [size =\"41757696\"]\n  15 [size=\"64972800\", alpha=\"0.03\", expect_size=\"19491840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95453184\", alpha=\"0.13\", expect_size=\"47726592\"] \n  1 -> 2 [size =\"47726592\"]\n  2 [size=\"87762944\", alpha=\"0.19\", expect_size=\"43881472\"] \n  2 -> 3 [size =\"43881472\"]\n  3 [size=\"11911168\", alpha=\"0.08\", expect_size=\"5955584\"] \n  3 -> 4 [size =\"5955584\"]\n  4 [size=\"21774336\", alpha=\"0.19\", expect_size=\"10887168\"] \n  4 -> 5 [size =\"10887168\"]\n  5 [size=\"40953856\", alpha=\"0.03\", expect_size=\"20476928\"] \n  5 -> 6 [size =\"20476928\"]\n  6 [size=\"18298880\", alpha=\"0.02\", expect_size=\"9149440\"] \n  6 -> 7 [size =\"9149440\"]\n  7 [size=\"12666880\", alpha=\"0.16\", expect_size=\"6333440\"] \n  7 -> 8 [size =\"6333440\"]\n  8 [size=\"74309632\", alpha=\"0.08\", expect_size=\"37154816\"] \n  8 -> 9 [size =\"37154816\"]\n  9 [size=\"66682880\", alpha=\"0.10\", expect_size=\"33341440\"] \n  9 -> 10 [size =\"33341440\"]\n  10 [size=\"31537152\", alpha=\"0.01\", expect_size=\"15768576\"] \n  10 -> 11 [size =\"15768576\"]\n  11 [size=\"38596608\", alpha=\"0.18\", expect_size=\"19298304\"] \n  11 -> 12 [size =\"19298304\"]\n  12 [size=\"101437440\", alpha=\"0.17\", expect_size=\"50718720\"] \n  12 -> 13 [size =\"50718720\"]\n  13 [size=\"98496512\", alpha=\"0.18\", expect_size=\"49248256\"] \n  13 -> 14 [size =\"49248256\"]\n  14 [size=\"42133504\", alpha=\"0.05\", expect_size=\"21066752\"] \n  14 -> 15 [size =\"21066752\"]\n  15 [size=\"36358144\", alpha=\"0.08\", expect_size=\"18179072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167884800\", alpha=\"0.13\", expect_size=\"50365440\"] \n  1 -> 2 [size =\"50365440\"]\n  2 [size=\"106195627\", alpha=\"0.04\", expect_size=\"31858688\"] \n  2 -> 3 [size =\"31858688\"]\n  2 -> 4 [size =\"31858688\"]\n  3 [size=\"127860053\", alpha=\"0.16\", expect_size=\"38358016\"] \n  3 -> 5 [size =\"38358016\"]\n  4 [size=\"115384320\", alpha=\"0.09\", expect_size=\"34615296\"] \n  4 -> 6 [size =\"34615296\"]\n  5 [size=\"120616960\", alpha=\"0.16\", expect_size=\"36185088\"] \n  6 [size=\"75854507\", alpha=\"0.07\", expect_size=\"22756352\"] \n  6 -> 7 [size =\"22756352\"]\n  7 [size=\"63965867\", alpha=\"0.11\", expect_size=\"19189760\"] \n  7 -> 8 [size =\"19189760\"]\n  8 [size=\"106373120\", alpha=\"0.02\", expect_size=\"31911936\"] \n  8 -> 9 [size =\"31911936\"]\n  8 -> 10 [size =\"31911936\"]\n  9 [size=\"121630720\", alpha=\"0.18\", expect_size=\"36489216\"] \n  9 -> 11 [size =\"36489216\"]\n  10 [size=\"149241173\", alpha=\"0.07\", expect_size=\"44772352\"] \n  11 [size=\"89528320\", alpha=\"0.15\", expect_size=\"26858496\"] \n  11 -> 12 [size =\"26858496\"]\n  12 [size=\"33375573\", alpha=\"0.02\", expect_size=\"10012672\"] \n  12 -> 13 [size =\"10012672\"]\n  13 [size=\"66396160\", alpha=\"0.16\", expect_size=\"19918848\"] \n  13 -> 14 [size =\"19918848\"]\n  13 -> 15 [size =\"19918848\"]\n  14 [size=\"32392533\", alpha=\"0.08\", expect_size=\"9717760\"] \n  15 [size=\"106222933\", alpha=\"0.10\", expect_size=\"31866880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17844224\", alpha=\"0.14\", expect_size=\"8922112\"] \n  1 -> 12 [size =\"8922112\"]\n  2 [size=\"24535040\", alpha=\"0.14\", expect_size=\"12267520\"] \n  2 -> 13 [size =\"12267520\"]\n  3 [size=\"45832192\", alpha=\"0.00\", expect_size=\"22916096\"] \n  3 -> 12 [size =\"22916096\"]\n  3 -> 13 [size =\"22916096\"]\n  3 -> 15 [size =\"22916096\"]\n  4 [size=\"52391936\", alpha=\"0.19\", expect_size=\"26195968\"] \n  4 -> 12 [size =\"26195968\"]\n  4 -> 13 [size =\"26195968\"]\n  5 [size=\"60561408\", alpha=\"0.10\", expect_size=\"30280704\"] \n  5 -> 12 [size =\"30280704\"]\n  5 -> 15 [size =\"30280704\"]\n  6 [size=\"55263232\", alpha=\"0.16\", expect_size=\"27631616\"] \n  6 -> 12 [size =\"27631616\"]\n  6 -> 14 [size =\"27631616\"]\n  7 [size=\"28440576\", alpha=\"0.13\", expect_size=\"14220288\"] \n  7 -> 12 [size =\"14220288\"]\n  8 [size=\"15611904\", alpha=\"0.01\", expect_size=\"7805952\"] \n  8 -> 13 [size =\"7805952\"]\n  9 [size=\"52797440\", alpha=\"0.19\", expect_size=\"26398720\"] \n  9 -> 12 [size =\"26398720\"]\n  10 [size=\"24983552\", alpha=\"0.12\", expect_size=\"12491776\"] \n  10 -> 12 [size =\"12491776\"]\n  11 [size=\"101851136\", alpha=\"0.17\", expect_size=\"50925568\"] \n  12 [size=\"75098112\", alpha=\"0.11\", expect_size=\"37549056\"] \n  13 [size=\"49098752\", alpha=\"0.15\", expect_size=\"24549376\"] \n  14 [size=\"49391616\", alpha=\"0.04\", expect_size=\"24695808\"] \n  15 [size=\"43218944\", alpha=\"0.19\", expect_size=\"21609472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41128960\", alpha=\"0.14\", expect_size=\"16451584\"] \n  1 -> 2 [size =\"16451584\"]\n  2 [size=\"23769600\", alpha=\"0.15\", expect_size=\"9507840\"] \n  2 -> 3 [size =\"9507840\"]\n  3 [size=\"99299840\", alpha=\"0.08\", expect_size=\"39719936\"] \n  3 -> 4 [size =\"39719936\"]\n  4 [size=\"76405760\", alpha=\"0.16\", expect_size=\"30562304\"] \n  4 -> 5 [size =\"30562304\"]\n  5 [size=\"25300480\", alpha=\"0.08\", expect_size=\"10120192\"] \n  5 -> 6 [size =\"10120192\"]\n  6 [size=\"77434880\", alpha=\"0.00\", expect_size=\"30973952\"] \n  6 -> 7 [size =\"30973952\"]\n  7 [size=\"36234240\", alpha=\"0.19\", expect_size=\"14493696\"] \n  7 -> 8 [size =\"14493696\"]\n  8 [size=\"99502080\", alpha=\"0.05\", expect_size=\"39800832\"] \n  8 -> 9 [size =\"39800832\"]\n  9 [size=\"116144640\", alpha=\"0.17\", expect_size=\"46457856\"] \n  9 -> 10 [size =\"46457856\"]\n  10 [size=\"30643200\", alpha=\"0.02\", expect_size=\"12257280\"] \n  10 -> 11 [size =\"12257280\"]\n  11 [size=\"94499840\", alpha=\"0.03\", expect_size=\"37799936\"] \n  11 -> 12 [size =\"37799936\"]\n  12 [size=\"61847040\", alpha=\"0.15\", expect_size=\"24738816\"] \n  12 -> 13 [size =\"24738816\"]\n  13 [size=\"33374720\", alpha=\"0.03\", expect_size=\"13349888\"] \n  13 -> 14 [size =\"13349888\"]\n  14 [size=\"79116800\", alpha=\"0.18\", expect_size=\"31646720\"] \n  14 -> 15 [size =\"31646720\"]\n  15 [size=\"52986880\", alpha=\"0.09\", expect_size=\"21194752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81778688\", alpha=\"0.17\", expect_size=\"40889344\"] \n  1 -> 13 [size =\"40889344\"]\n  1 -> 14 [size =\"40889344\"]\n  1 -> 15 [size =\"40889344\"]\n  2 [size=\"102723584\", alpha=\"0.17\", expect_size=\"51361792\"] \n  2 -> 13 [size =\"51361792\"]\n  2 -> 14 [size =\"51361792\"]\n  3 [size=\"34222080\", alpha=\"0.13\", expect_size=\"17111040\"] \n  3 -> 13 [size =\"17111040\"]\n  3 -> 14 [size =\"17111040\"]\n  4 [size=\"66973696\", alpha=\"0.07\", expect_size=\"33486848\"] \n  4 -> 14 [size =\"33486848\"]\n  4 -> 14 [size =\"33486848\"]\n  5 [size=\"12785664\", alpha=\"0.19\", expect_size=\"6392832\"] \n  5 -> 14 [size =\"6392832\"]\n  6 [size=\"34260992\", alpha=\"0.09\", expect_size=\"17130496\"] \n  7 [size=\"95805440\", alpha=\"0.06\", expect_size=\"47902720\"] \n  7 -> 15 [size =\"47902720\"]\n  8 [size=\"22890496\", alpha=\"0.15\", expect_size=\"11445248\"] \n  8 -> 14 [size =\"11445248\"]\n  9 [size=\"76589056\", alpha=\"0.05\", expect_size=\"38294528\"] \n  9 -> 13 [size =\"38294528\"]\n  9 -> 14 [size =\"38294528\"]\n  10 [size=\"61464576\", alpha=\"0.17\", expect_size=\"30732288\"] \n  10 -> 13 [size =\"30732288\"]\n  10 -> 14 [size =\"30732288\"]\n  11 [size=\"101189632\", alpha=\"0.04\", expect_size=\"50594816\"] \n  11 -> 13 [size =\"50594816\"]\n  11 -> 14 [size =\"50594816\"]\n  12 [size=\"85352448\", alpha=\"0.09\", expect_size=\"42676224\"] \n  12 -> 13 [size =\"42676224\"]\n  12 -> 14 [size =\"42676224\"]\n  12 -> 15 [size =\"42676224\"]\n  13 [size=\"71649280\", alpha=\"0.14\", expect_size=\"35824640\"] \n  14 [size=\"39323648\", alpha=\"0.04\", expect_size=\"19661824\"] \n  15 [size=\"72302592\", alpha=\"0.08\", expect_size=\"36151296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90149547\", alpha=\"0.09\", expect_size=\"27044864\"] \n  2 [size=\"146657280\", alpha=\"0.10\", expect_size=\"43997184\"] \n  2 -> 3 [size =\"43997184\"]\n  3 [size=\"31211520\", alpha=\"0.16\", expect_size=\"9363456\"] \n  3 -> 4 [size =\"9363456\"]\n  3 -> 5 [size =\"9363456\"]\n  4 [size=\"76701013\", alpha=\"0.11\", expect_size=\"23010304\"] \n  4 -> 6 [size =\"23010304\"]\n  4 -> 7 [size =\"23010304\"]\n  5 [size=\"90327040\", alpha=\"0.18\", expect_size=\"27098112\"] \n  6 [size=\"170554027\", alpha=\"0.03\", expect_size=\"51166208\"] \n  6 -> 8 [size =\"51166208\"]\n  6 -> 9 [size =\"51166208\"]\n  7 [size=\"160092160\", alpha=\"0.14\", expect_size=\"48027648\"] \n  7 -> 8 [size =\"48027648\"]\n  7 -> 9 [size =\"48027648\"]\n  8 [size=\"22872747\", alpha=\"0.19\", expect_size=\"6861824\"] \n  8 -> 10 [size =\"6861824\"]\n  8 -> 11 [size =\"6861824\"]\n  9 [size=\"158989653\", alpha=\"0.13\", expect_size=\"47696896\"] \n  9 -> 11 [size =\"47696896\"]\n  10 [size=\"147107840\", alpha=\"0.12\", expect_size=\"44132352\"] \n  10 -> 12 [size =\"44132352\"]\n  11 [size=\"47837867\", alpha=\"0.05\", expect_size=\"14351360\"] \n  11 -> 12 [size =\"14351360\"]\n  12 [size=\"115432107\", alpha=\"0.15\", expect_size=\"34629632\"] \n  12 -> 13 [size =\"34629632\"]\n  12 -> 14 [size =\"34629632\"]\n  13 [size=\"39335253\", alpha=\"0.11\", expect_size=\"11800576\"] \n  14 [size=\"163665920\", alpha=\"0.16\", expect_size=\"49099776\"] \n  14 -> 15 [size =\"49099776\"]\n  15 [size=\"94532267\", alpha=\"0.10\", expect_size=\"28359680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22044672\", alpha=\"0.15\", expect_size=\"11022336\"] \n  1 -> 2 [size =\"11022336\"]\n  1 -> 3 [size =\"11022336\"]\n  2 [size=\"21166080\", alpha=\"0.10\", expect_size=\"10583040\"] \n  2 -> 4 [size =\"10583040\"]\n  2 -> 5 [size =\"10583040\"]\n  3 [size=\"104257536\", alpha=\"0.06\", expect_size=\"52128768\"] \n  4 [size=\"33837056\", alpha=\"0.14\", expect_size=\"16918528\"] \n  4 -> 6 [size =\"16918528\"]\n  5 [size=\"15491072\", alpha=\"0.02\", expect_size=\"7745536\"] \n  5 -> 7 [size =\"7745536\"]\n  6 [size=\"96376832\", alpha=\"0.11\", expect_size=\"48188416\"] \n  7 [size=\"83249152\", alpha=\"0.06\", expect_size=\"41624576\"] \n  7 -> 8 [size =\"41624576\"]\n  7 -> 9 [size =\"41624576\"]\n  8 [size=\"79796224\", alpha=\"0.17\", expect_size=\"39898112\"] \n  9 [size=\"76443648\", alpha=\"0.09\", expect_size=\"38221824\"] \n  9 -> 10 [size =\"38221824\"]\n  10 [size=\"15931392\", alpha=\"0.19\", expect_size=\"7965696\"] \n  10 -> 11 [size =\"7965696\"]\n  11 [size=\"13213696\", alpha=\"0.13\", expect_size=\"6606848\"] \n  11 -> 12 [size =\"6606848\"]\n  11 -> 13 [size =\"6606848\"]\n  12 [size=\"83372032\", alpha=\"0.14\", expect_size=\"41686016\"] \n  12 -> 14 [size =\"41686016\"]\n  13 [size=\"35008512\", alpha=\"0.07\", expect_size=\"17504256\"] \n  13 -> 15 [size =\"17504256\"]\n  14 [size=\"63801344\", alpha=\"0.19\", expect_size=\"31900672\"] \n  15 [size=\"34441216\", alpha=\"0.01\", expect_size=\"17220608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28211200\", alpha=\"0.16\", expect_size=\"11284480\"] \n  1 -> 3 [size =\"11284480\"]\n  1 -> 4 [size =\"11284480\"]\n  2 [size=\"38840320\", alpha=\"0.19\", expect_size=\"15536128\"] \n  2 -> 3 [size =\"15536128\"]\n  2 -> 4 [size =\"15536128\"]\n  3 [size=\"91548160\", alpha=\"0.09\", expect_size=\"36619264\"] \n  3 -> 5 [size =\"36619264\"]\n  3 -> 6 [size =\"36619264\"]\n  3 -> 7 [size =\"36619264\"]\n  4 [size=\"16844800\", alpha=\"0.13\", expect_size=\"6737920\"] \n  4 -> 5 [size =\"6737920\"]\n  4 -> 6 [size =\"6737920\"]\n  4 -> 7 [size =\"6737920\"]\n  5 [size=\"120424960\", alpha=\"0.04\", expect_size=\"48169984\"] \n  6 [size=\"13969920\", alpha=\"0.08\", expect_size=\"5587968\"] \n  6 -> 9 [size =\"5587968\"]\n  7 [size=\"86799360\", alpha=\"0.14\", expect_size=\"34719744\"] \n  7 -> 8 [size =\"34719744\"]\n  8 [size=\"108782080\", alpha=\"0.20\", expect_size=\"43512832\"] \n  8 -> 11 [size =\"43512832\"]\n  9 [size=\"23083520\", alpha=\"0.11\", expect_size=\"9233408\"] \n  9 -> 10 [size =\"9233408\"]\n  9 -> 11 [size =\"9233408\"]\n  10 [size=\"53683200\", alpha=\"0.08\", expect_size=\"21473280\"] \n  10 -> 14 [size =\"21473280\"]\n  11 [size=\"101747200\", alpha=\"0.09\", expect_size=\"40698880\"] \n  11 -> 12 [size =\"40698880\"]\n  11 -> 13 [size =\"40698880\"]\n  11 -> 14 [size =\"40698880\"]\n  12 [size=\"78179840\", alpha=\"0.11\", expect_size=\"31271936\"] \n  12 -> 15 [size =\"31271936\"]\n  13 [size=\"69447680\", alpha=\"0.01\", expect_size=\"27779072\"] \n  14 [size=\"119610880\", alpha=\"0.07\", expect_size=\"47844352\"] \n  14 -> 15 [size =\"47844352\"]\n  15 [size=\"78187520\", alpha=\"0.04\", expect_size=\"31275008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80506880\", alpha=\"0.05\", expect_size=\"24152064\"] \n  1 -> 10 [size =\"24152064\"]\n  1 -> 11 [size =\"24152064\"]\n  2 [size=\"38079147\", alpha=\"0.04\", expect_size=\"11423744\"] \n  2 -> 7 [size =\"11423744\"]\n  2 -> 10 [size =\"11423744\"]\n  2 -> 11 [size =\"11423744\"]\n  3 [size=\"91654827\", alpha=\"0.08\", expect_size=\"27496448\"] \n  3 -> 10 [size =\"27496448\"]\n  3 -> 12 [size =\"27496448\"]\n  4 [size=\"132519253\", alpha=\"0.19\", expect_size=\"39755776\"] \n  4 -> 8 [size =\"39755776\"]\n  4 -> 9 [size =\"39755776\"]\n  5 [size=\"72273920\", alpha=\"0.18\", expect_size=\"21682176\"] \n  5 -> 8 [size =\"21682176\"]\n  5 -> 12 [size =\"21682176\"]\n  6 [size=\"23869440\", alpha=\"0.10\", expect_size=\"7160832\"] \n  6 -> 8 [size =\"7160832\"]\n  6 -> 12 [size =\"7160832\"]\n  7 [size=\"63918080\", alpha=\"0.03\", expect_size=\"19175424\"] \n  7 -> 15 [size =\"19175424\"]\n  8 [size=\"74082987\", alpha=\"0.08\", expect_size=\"22224896\"] \n  9 [size=\"31901013\", alpha=\"0.12\", expect_size=\"9570304\"] \n  9 -> 13 [size =\"9570304\"]\n  9 -> 14 [size =\"9570304\"]\n  9 -> 15 [size =\"9570304\"]\n  10 [size=\"56166400\", alpha=\"0.06\", expect_size=\"16849920\"] \n  10 -> 14 [size =\"16849920\"]\n  11 [size=\"163983360\", alpha=\"0.03\", expect_size=\"49195008\"] \n  11 -> 15 [size =\"49195008\"]\n  12 [size=\"46735360\", alpha=\"0.07\", expect_size=\"14020608\"] \n  13 [size=\"79465813\", alpha=\"0.02\", expect_size=\"23839744\"] \n  14 [size=\"143755947\", alpha=\"0.17\", expect_size=\"43126784\"] \n  15 [size=\"139816960\", alpha=\"0.05\", expect_size=\"41945088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43360256\", alpha=\"0.16\", expect_size=\"21680128\"] \n  2 [size=\"23263232\", alpha=\"0.14\", expect_size=\"11631616\"] \n  2 -> 6 [size =\"11631616\"]\n  3 [size=\"13072384\", alpha=\"0.19\", expect_size=\"6536192\"] \n  3 -> 4 [size =\"6536192\"]\n  3 -> 5 [size =\"6536192\"]\n  4 [size=\"34992128\", alpha=\"0.08\", expect_size=\"17496064\"] \n  4 -> 8 [size =\"17496064\"]\n  4 -> 9 [size =\"17496064\"]\n  5 [size=\"97071104\", alpha=\"0.13\", expect_size=\"48535552\"] \n  5 -> 8 [size =\"48535552\"]\n  6 [size=\"47484928\", alpha=\"0.07\", expect_size=\"23742464\"] \n  6 -> 7 [size =\"23742464\"]\n  7 [size=\"39249920\", alpha=\"0.06\", expect_size=\"19624960\"] \n  7 -> 11 [size =\"19624960\"]\n  8 [size=\"101562368\", alpha=\"0.04\", expect_size=\"50781184\"] \n  9 [size=\"100722688\", alpha=\"0.15\", expect_size=\"50361344\"] \n  9 -> 10 [size =\"50361344\"]\n  10 [size=\"80476160\", alpha=\"0.18\", expect_size=\"40238080\"] \n  10 -> 12 [size =\"40238080\"]\n  11 [size=\"98371584\", alpha=\"0.04\", expect_size=\"49185792\"] \n  11 -> 13 [size =\"49185792\"]\n  12 [size=\"80527360\", alpha=\"0.19\", expect_size=\"40263680\"] \n  12 -> 14 [size =\"40263680\"]\n  13 [size=\"54337536\", alpha=\"0.07\", expect_size=\"27168768\"] \n  13 -> 15 [size =\"27168768\"]\n  14 [size=\"49225728\", alpha=\"0.02\", expect_size=\"24612864\"] \n  15 [size=\"87015424\", alpha=\"0.13\", expect_size=\"43507712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47491072\", alpha=\"0.16\", expect_size=\"23745536\"] \n  1 -> 4 [size =\"23745536\"]\n  1 -> 5 [size =\"23745536\"]\n  2 [size=\"82913280\", alpha=\"0.06\", expect_size=\"41456640\"] \n  2 -> 3 [size =\"41456640\"]\n  3 [size=\"54505472\", alpha=\"0.03\", expect_size=\"27252736\"] \n  3 -> 7 [size =\"27252736\"]\n  4 [size=\"20883456\", alpha=\"0.06\", expect_size=\"10441728\"] \n  4 -> 6 [size =\"10441728\"]\n  5 [size=\"92327936\", alpha=\"0.10\", expect_size=\"46163968\"] \n  5 -> 7 [size =\"46163968\"]\n  6 [size=\"77277184\", alpha=\"0.05\", expect_size=\"38638592\"] \n  6 -> 8 [size =\"38638592\"]\n  7 [size=\"103022592\", alpha=\"0.07\", expect_size=\"51511296\"] \n  7 -> 9 [size =\"51511296\"]\n  8 [size=\"89946112\", alpha=\"0.03\", expect_size=\"44973056\"] \n  8 -> 10 [size =\"44973056\"]\n  8 -> 11 [size =\"44973056\"]\n  9 [size=\"35074048\", alpha=\"0.11\", expect_size=\"17537024\"] \n  9 -> 10 [size =\"17537024\"]\n  9 -> 11 [size =\"17537024\"]\n  9 -> 12 [size =\"17537024\"]\n  10 [size=\"51478528\", alpha=\"0.14\", expect_size=\"25739264\"] \n  11 [size=\"57729024\", alpha=\"0.12\", expect_size=\"28864512\"] \n  11 -> 14 [size =\"28864512\"]\n  12 [size=\"38815744\", alpha=\"0.03\", expect_size=\"19407872\"] \n  12 -> 13 [size =\"19407872\"]\n  12 -> 14 [size =\"19407872\"]\n  13 [size=\"69363712\", alpha=\"0.01\", expect_size=\"34681856\"] \n  13 -> 15 [size =\"34681856\"]\n  14 [size=\"85522432\", alpha=\"0.20\", expect_size=\"42761216\"] \n  14 -> 15 [size =\"42761216\"]\n  15 [size=\"18954240\", alpha=\"0.15\", expect_size=\"9477120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147196587\", alpha=\"0.14\", expect_size=\"44158976\"] \n  2 [size=\"17735680\", alpha=\"0.05\", expect_size=\"5320704\"] \n  3 [size=\"79319040\", alpha=\"0.18\", expect_size=\"23795712\"] \n  3 -> 12 [size =\"23795712\"]\n  4 [size=\"41256960\", alpha=\"0.03\", expect_size=\"12377088\"] \n  4 -> 13 [size =\"12377088\"]\n  5 [size=\"67901440\", alpha=\"0.10\", expect_size=\"20370432\"] \n  5 -> 12 [size =\"20370432\"]\n  5 -> 15 [size =\"20370432\"]\n  6 [size=\"74994347\", alpha=\"0.10\", expect_size=\"22498304\"] \n  6 -> 13 [size =\"22498304\"]\n  7 [size=\"52275200\", alpha=\"0.17\", expect_size=\"15682560\"] \n  7 -> 12 [size =\"15682560\"]\n  7 -> 14 [size =\"15682560\"]\n  8 [size=\"83333120\", alpha=\"0.04\", expect_size=\"24999936\"] \n  8 -> 12 [size =\"24999936\"]\n  9 [size=\"89047040\", alpha=\"0.11\", expect_size=\"26714112\"] \n  9 -> 12 [size =\"26714112\"]\n  10 [size=\"80042667\", alpha=\"0.03\", expect_size=\"24012800\"] \n  11 [size=\"119207253\", alpha=\"0.20\", expect_size=\"35762176\"] \n  11 -> 14 [size =\"35762176\"]\n  11 -> 15 [size =\"35762176\"]\n  12 [size=\"69536427\", alpha=\"0.05\", expect_size=\"20860928\"] \n  13 [size=\"105994240\", alpha=\"0.03\", expect_size=\"31798272\"] \n  14 [size=\"89596587\", alpha=\"0.04\", expect_size=\"26878976\"] \n  15 [size=\"112520533\", alpha=\"0.07\", expect_size=\"33756160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49799168\", alpha=\"0.17\", expect_size=\"24899584\"] \n  1 -> 2 [size =\"24899584\"]\n  2 [size=\"81414144\", alpha=\"0.02\", expect_size=\"40707072\"] \n  2 -> 3 [size =\"40707072\"]\n  2 -> 4 [size =\"40707072\"]\n  3 [size=\"43012096\", alpha=\"0.04\", expect_size=\"21506048\"] \n  3 -> 5 [size =\"21506048\"]\n  4 [size=\"39510016\", alpha=\"0.01\", expect_size=\"19755008\"] \n  4 -> 5 [size =\"19755008\"]\n  5 [size=\"82728960\", alpha=\"0.04\", expect_size=\"41364480\"] \n  5 -> 6 [size =\"41364480\"]\n  5 -> 7 [size =\"41364480\"]\n  6 [size=\"28338176\", alpha=\"0.06\", expect_size=\"14169088\"] \n  6 -> 8 [size =\"14169088\"]\n  7 [size=\"34363392\", alpha=\"0.09\", expect_size=\"17181696\"] \n  7 -> 8 [size =\"17181696\"]\n  8 [size=\"62562304\", alpha=\"0.08\", expect_size=\"31281152\"] \n  8 -> 9 [size =\"31281152\"]\n  8 -> 10 [size =\"31281152\"]\n  9 [size=\"13584384\", alpha=\"0.16\", expect_size=\"6792192\"] \n  9 -> 11 [size =\"6792192\"]\n  9 -> 12 [size =\"6792192\"]\n  10 [size=\"12482560\", alpha=\"0.07\", expect_size=\"6241280\"] \n  10 -> 12 [size =\"6241280\"]\n  11 [size=\"19843072\", alpha=\"0.16\", expect_size=\"9921536\"] \n  11 -> 14 [size =\"9921536\"]\n  12 [size=\"100395008\", alpha=\"0.02\", expect_size=\"50197504\"] \n  12 -> 13 [size =\"50197504\"]\n  12 -> 14 [size =\"50197504\"]\n  13 [size=\"13406208\", alpha=\"0.10\", expect_size=\"6703104\"] \n  13 -> 15 [size =\"6703104\"]\n  14 [size=\"33101824\", alpha=\"0.18\", expect_size=\"16550912\"] \n  14 -> 15 [size =\"16550912\"]\n  15 [size=\"39936000\", alpha=\"0.11\", expect_size=\"19968000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122443093\", alpha=\"0.10\", expect_size=\"36732928\"] \n  1 -> 2 [size =\"36732928\"]\n  2 [size=\"171008000\", alpha=\"0.17\", expect_size=\"51302400\"] \n  2 -> 3 [size =\"51302400\"]\n  3 [size=\"58234880\", alpha=\"0.16\", expect_size=\"17470464\"] \n  3 -> 4 [size =\"17470464\"]\n  4 [size=\"142916267\", alpha=\"0.07\", expect_size=\"42874880\"] \n  4 -> 5 [size =\"42874880\"]\n  5 [size=\"27057493\", alpha=\"0.15\", expect_size=\"8117248\"] \n  5 -> 6 [size =\"8117248\"]\n  6 [size=\"35642027\", alpha=\"0.08\", expect_size=\"10692608\"] \n  6 -> 7 [size =\"10692608\"]\n  7 [size=\"63993173\", alpha=\"0.10\", expect_size=\"19197952\"] \n  7 -> 8 [size =\"19197952\"]\n  8 [size=\"77670400\", alpha=\"0.06\", expect_size=\"23301120\"] \n  8 -> 9 [size =\"23301120\"]\n  9 [size=\"74738347\", alpha=\"0.07\", expect_size=\"22421504\"] \n  9 -> 10 [size =\"22421504\"]\n  10 [size=\"37474987\", alpha=\"0.08\", expect_size=\"11242496\"] \n  10 -> 11 [size =\"11242496\"]\n  11 [size=\"117442560\", alpha=\"0.05\", expect_size=\"35232768\"] \n  11 -> 12 [size =\"35232768\"]\n  12 [size=\"38324907\", alpha=\"0.07\", expect_size=\"11497472\"] \n  12 -> 13 [size =\"11497472\"]\n  13 [size=\"168608427\", alpha=\"0.18\", expect_size=\"50582528\"] \n  13 -> 14 [size =\"50582528\"]\n  14 [size=\"135478613\", alpha=\"0.18\", expect_size=\"40643584\"] \n  14 -> 15 [size =\"40643584\"]\n  15 [size=\"34846720\", alpha=\"0.01\", expect_size=\"10454016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96546816\", alpha=\"0.05\", expect_size=\"48273408\"] \n  1 -> 3 [size =\"48273408\"]\n  2 [size=\"98603008\", alpha=\"0.13\", expect_size=\"49301504\"] \n  2 -> 4 [size =\"49301504\"]\n  2 -> 5 [size =\"49301504\"]\n  3 [size=\"90990592\", alpha=\"0.10\", expect_size=\"45495296\"] \n  3 -> 6 [size =\"45495296\"]\n  4 [size=\"77060096\", alpha=\"0.12\", expect_size=\"38530048\"] \n  4 -> 6 [size =\"38530048\"]\n  5 [size=\"69785600\", alpha=\"0.14\", expect_size=\"34892800\"] \n  5 -> 7 [size =\"34892800\"]\n  6 [size=\"73502720\", alpha=\"0.03\", expect_size=\"36751360\"] \n  6 -> 8 [size =\"36751360\"]\n  6 -> 9 [size =\"36751360\"]\n  7 [size=\"71229440\", alpha=\"0.14\", expect_size=\"35614720\"] \n  8 [size=\"98539520\", alpha=\"0.13\", expect_size=\"49269760\"] \n  8 -> 10 [size =\"49269760\"]\n  8 -> 11 [size =\"49269760\"]\n  9 [size=\"99895296\", alpha=\"0.14\", expect_size=\"49947648\"] \n  10 [size=\"16820224\", alpha=\"0.02\", expect_size=\"8410112\"] \n  10 -> 13 [size =\"8410112\"]\n  11 [size=\"36493312\", alpha=\"0.04\", expect_size=\"18246656\"] \n  11 -> 12 [size =\"18246656\"]\n  12 [size=\"59609088\", alpha=\"0.10\", expect_size=\"29804544\"] \n  13 [size=\"26880000\", alpha=\"0.16\", expect_size=\"13440000\"] \n  13 -> 14 [size =\"13440000\"]\n  13 -> 15 [size =\"13440000\"]\n  14 [size=\"73482240\", alpha=\"0.14\", expect_size=\"36741120\"] \n  15 [size=\"34854912\", alpha=\"0.15\", expect_size=\"17427456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98183168\", alpha=\"0.14\", expect_size=\"49091584\"] \n  1 -> 4 [size =\"49091584\"]\n  1 -> 5 [size =\"49091584\"]\n  2 [size=\"96626688\", alpha=\"0.12\", expect_size=\"48313344\"] \n  3 [size=\"100511744\", alpha=\"0.15\", expect_size=\"50255872\"] \n  3 -> 4 [size =\"50255872\"]\n  3 -> 5 [size =\"50255872\"]\n  4 [size=\"96438272\", alpha=\"0.19\", expect_size=\"48219136\"] \n  4 -> 7 [size =\"48219136\"]\n  4 -> 8 [size =\"48219136\"]\n  5 [size=\"55248896\", alpha=\"0.03\", expect_size=\"27624448\"] \n  5 -> 6 [size =\"27624448\"]\n  5 -> 7 [size =\"27624448\"]\n  5 -> 8 [size =\"27624448\"]\n  6 [size=\"36952064\", alpha=\"0.03\", expect_size=\"18476032\"] \n  6 -> 9 [size =\"18476032\"]\n  6 -> 10 [size =\"18476032\"]\n  7 [size=\"22370304\", alpha=\"0.04\", expect_size=\"11185152\"] \n  7 -> 9 [size =\"11185152\"]\n  7 -> 10 [size =\"11185152\"]\n  8 [size=\"17090560\", alpha=\"0.05\", expect_size=\"8545280\"] \n  8 -> 10 [size =\"8545280\"]\n  8 -> 11 [size =\"8545280\"]\n  9 [size=\"94619648\", alpha=\"0.10\", expect_size=\"47309824\"] \n  10 [size=\"60614656\", alpha=\"0.16\", expect_size=\"30307328\"] \n  10 -> 13 [size =\"30307328\"]\n  11 [size=\"91314176\", alpha=\"0.06\", expect_size=\"45657088\"] \n  11 -> 12 [size =\"45657088\"]\n  12 [size=\"65312768\", alpha=\"0.15\", expect_size=\"32656384\"] \n  12 -> 14 [size =\"32656384\"]\n  12 -> 15 [size =\"32656384\"]\n  13 [size=\"29495296\", alpha=\"0.14\", expect_size=\"14747648\"] \n  14 [size=\"101931008\", alpha=\"0.15\", expect_size=\"50965504\"] \n  15 [size=\"97017856\", alpha=\"0.14\", expect_size=\"48508928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41970347\", alpha=\"0.07\", expect_size=\"12591104\"] \n  1 -> 4 [size =\"12591104\"]\n  2 [size=\"109861547\", alpha=\"0.09\", expect_size=\"32958464\"] \n  2 -> 4 [size =\"32958464\"]\n  2 -> 5 [size =\"32958464\"]\n  2 -> 6 [size =\"32958464\"]\n  3 [size=\"58811733\", alpha=\"0.15\", expect_size=\"17643520\"] \n  3 -> 4 [size =\"17643520\"]\n  3 -> 5 [size =\"17643520\"]\n  3 -> 6 [size =\"17643520\"]\n  4 [size=\"149196800\", alpha=\"0.10\", expect_size=\"44759040\"] \n  4 -> 8 [size =\"44759040\"]\n  5 [size=\"154255360\", alpha=\"0.16\", expect_size=\"46276608\"] \n  5 -> 9 [size =\"46276608\"]\n  6 [size=\"158941867\", alpha=\"0.18\", expect_size=\"47682560\"] \n  6 -> 7 [size =\"47682560\"]\n  6 -> 9 [size =\"47682560\"]\n  7 [size=\"111462400\", alpha=\"0.03\", expect_size=\"33438720\"] \n  7 -> 11 [size =\"33438720\"]\n  8 [size=\"170932907\", alpha=\"0.18\", expect_size=\"51279872\"] \n  8 -> 10 [size =\"51279872\"]\n  8 -> 11 [size =\"51279872\"]\n  9 [size=\"39618560\", alpha=\"0.09\", expect_size=\"11885568\"] \n  9 -> 10 [size =\"11885568\"]\n  10 [size=\"157255680\", alpha=\"0.03\", expect_size=\"47176704\"] \n  10 -> 12 [size =\"47176704\"]\n  10 -> 13 [size =\"47176704\"]\n  11 [size=\"42499413\", alpha=\"0.04\", expect_size=\"12749824\"] \n  11 -> 14 [size =\"12749824\"]\n  12 [size=\"95901013\", alpha=\"0.04\", expect_size=\"28770304\"] \n  13 [size=\"166529707\", alpha=\"0.05\", expect_size=\"49958912\"] \n  13 -> 15 [size =\"49958912\"]\n  14 [size=\"128218453\", alpha=\"0.04\", expect_size=\"38465536\"] \n  14 -> 15 [size =\"38465536\"]\n  15 [size=\"46933333\", alpha=\"0.19\", expect_size=\"14080000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77402112\", alpha=\"0.14\", expect_size=\"38701056\"] \n  2 [size=\"99858432\", alpha=\"0.20\", expect_size=\"49929216\"] \n  2 -> 4 [size =\"49929216\"]\n  2 -> 5 [size =\"49929216\"]\n  3 [size=\"35852288\", alpha=\"0.03\", expect_size=\"17926144\"] \n  3 -> 4 [size =\"17926144\"]\n  4 [size=\"79839232\", alpha=\"0.16\", expect_size=\"39919616\"] \n  4 -> 7 [size =\"39919616\"]\n  4 -> 8 [size =\"39919616\"]\n  5 [size=\"58251264\", alpha=\"0.12\", expect_size=\"29125632\"] \n  5 -> 6 [size =\"29125632\"]\n  5 -> 9 [size =\"29125632\"]\n  6 [size=\"52203520\", alpha=\"0.18\", expect_size=\"26101760\"] \n  6 -> 12 [size =\"26101760\"]\n  7 [size=\"69599232\", alpha=\"0.00\", expect_size=\"34799616\"] \n  7 -> 10 [size =\"34799616\"]\n  7 -> 12 [size =\"34799616\"]\n  8 [size=\"15044608\", alpha=\"0.20\", expect_size=\"7522304\"] \n  8 -> 10 [size =\"7522304\"]\n  9 [size=\"60573696\", alpha=\"0.13\", expect_size=\"30286848\"] \n  9 -> 11 [size =\"30286848\"]\n  10 [size=\"96294912\", alpha=\"0.04\", expect_size=\"48147456\"] \n  10 -> 15 [size =\"48147456\"]\n  11 [size=\"51281920\", alpha=\"0.11\", expect_size=\"25640960\"] \n  11 -> 13 [size =\"25640960\"]\n  11 -> 14 [size =\"25640960\"]\n  11 -> 15 [size =\"25640960\"]\n  12 [size=\"21123072\", alpha=\"0.06\", expect_size=\"10561536\"] \n  13 [size=\"20049920\", alpha=\"0.17\", expect_size=\"10024960\"] \n  14 [size=\"35295232\", alpha=\"0.12\", expect_size=\"17647616\"] \n  15 [size=\"15730688\", alpha=\"0.07\", expect_size=\"7865344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18892800\", alpha=\"0.15\", expect_size=\"9446400\"] \n  1 -> 2 [size =\"9446400\"]\n  1 -> 3 [size =\"9446400\"]\n  2 [size=\"30693376\", alpha=\"0.13\", expect_size=\"15346688\"] \n  3 [size=\"60518400\", alpha=\"0.08\", expect_size=\"30259200\"] \n  3 -> 4 [size =\"30259200\"]\n  4 [size=\"65370112\", alpha=\"0.16\", expect_size=\"32685056\"] \n  4 -> 5 [size =\"32685056\"]\n  5 [size=\"91885568\", alpha=\"0.19\", expect_size=\"45942784\"] \n  5 -> 6 [size =\"45942784\"]\n  6 [size=\"101140480\", alpha=\"0.13\", expect_size=\"50570240\"] \n  6 -> 7 [size =\"50570240\"]\n  6 -> 8 [size =\"50570240\"]\n  7 [size=\"71802880\", alpha=\"0.01\", expect_size=\"35901440\"] \n  8 [size=\"43751424\", alpha=\"0.04\", expect_size=\"21875712\"] \n  8 -> 9 [size =\"21875712\"]\n  9 [size=\"80427008\", alpha=\"0.06\", expect_size=\"40213504\"] \n  9 -> 10 [size =\"40213504\"]\n  9 -> 11 [size =\"40213504\"]\n  10 [size=\"58464256\", alpha=\"0.04\", expect_size=\"29232128\"] \n  10 -> 12 [size =\"29232128\"]\n  11 [size=\"58793984\", alpha=\"0.11\", expect_size=\"29396992\"] \n  12 [size=\"36130816\", alpha=\"0.14\", expect_size=\"18065408\"] \n  12 -> 13 [size =\"18065408\"]\n  12 -> 14 [size =\"18065408\"]\n  13 [size=\"97404928\", alpha=\"0.07\", expect_size=\"48702464\"] \n  13 -> 15 [size =\"48702464\"]\n  14 [size=\"41920512\", alpha=\"0.09\", expect_size=\"20960256\"] \n  15 [size=\"20862976\", alpha=\"0.19\", expect_size=\"10431488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23326720\", alpha=\"0.01\", expect_size=\"6998016\"] \n  1 -> 3 [size =\"6998016\"]\n  2 [size=\"162450773\", alpha=\"0.11\", expect_size=\"48735232\"] \n  2 -> 4 [size =\"48735232\"]\n  3 [size=\"49278293\", alpha=\"0.04\", expect_size=\"14783488\"] \n  4 [size=\"81599147\", alpha=\"0.11\", expect_size=\"24479744\"] \n  4 -> 5 [size =\"24479744\"]\n  5 [size=\"158699520\", alpha=\"0.04\", expect_size=\"47609856\"] \n  5 -> 6 [size =\"47609856\"]\n  6 [size=\"161450667\", alpha=\"0.07\", expect_size=\"48435200\"] \n  6 -> 7 [size =\"48435200\"]\n  7 [size=\"88320000\", alpha=\"0.09\", expect_size=\"26496000\"] \n  7 -> 8 [size =\"26496000\"]\n  7 -> 9 [size =\"26496000\"]\n  8 [size=\"81496747\", alpha=\"0.16\", expect_size=\"24449024\"] \n  8 -> 10 [size =\"24449024\"]\n  8 -> 11 [size =\"24449024\"]\n  9 [size=\"103703893\", alpha=\"0.13\", expect_size=\"31111168\"] \n  10 [size=\"53415253\", alpha=\"0.12\", expect_size=\"16024576\"] \n  10 -> 12 [size =\"16024576\"]\n  11 [size=\"81302187\", alpha=\"0.14\", expect_size=\"24390656\"] \n  12 [size=\"92166827\", alpha=\"0.08\", expect_size=\"27650048\"] \n  12 -> 13 [size =\"27650048\"]\n  12 -> 14 [size =\"27650048\"]\n  13 [size=\"21705387\", alpha=\"0.05\", expect_size=\"6511616\"] \n  13 -> 15 [size =\"6511616\"]\n  14 [size=\"56244907\", alpha=\"0.01\", expect_size=\"16873472\"] \n  15 [size=\"139124053\", alpha=\"0.11\", expect_size=\"41737216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69002240\", alpha=\"0.07\", expect_size=\"27600896\"] \n  1 -> 2 [size =\"27600896\"]\n  2 [size=\"84961280\", alpha=\"0.19\", expect_size=\"33984512\"] \n  2 -> 3 [size =\"33984512\"]\n  3 [size=\"88496640\", alpha=\"0.05\", expect_size=\"35398656\"] \n  3 -> 4 [size =\"35398656\"]\n  4 [size=\"32783360\", alpha=\"0.01\", expect_size=\"13113344\"] \n  4 -> 5 [size =\"13113344\"]\n  5 [size=\"100354560\", alpha=\"0.15\", expect_size=\"40141824\"] \n  5 -> 6 [size =\"40141824\"]\n  6 [size=\"94658560\", alpha=\"0.00\", expect_size=\"37863424\"] \n  6 -> 7 [size =\"37863424\"]\n  7 [size=\"91573760\", alpha=\"0.12\", expect_size=\"36629504\"] \n  7 -> 8 [size =\"36629504\"]\n  8 [size=\"63321600\", alpha=\"0.17\", expect_size=\"25328640\"] \n  8 -> 9 [size =\"25328640\"]\n  9 [size=\"74209280\", alpha=\"0.18\", expect_size=\"29683712\"] \n  9 -> 10 [size =\"29683712\"]\n  10 [size=\"122606080\", alpha=\"0.19\", expect_size=\"49042432\"] \n  10 -> 11 [size =\"49042432\"]\n  11 [size=\"26570240\", alpha=\"0.10\", expect_size=\"10628096\"] \n  11 -> 12 [size =\"10628096\"]\n  12 [size=\"69936640\", alpha=\"0.15\", expect_size=\"27974656\"] \n  12 -> 13 [size =\"27974656\"]\n  13 [size=\"65487360\", alpha=\"0.11\", expect_size=\"26194944\"] \n  13 -> 14 [size =\"26194944\"]\n  14 [size=\"93839360\", alpha=\"0.09\", expect_size=\"37535744\"] \n  14 -> 15 [size =\"37535744\"]\n  15 [size=\"98022400\", alpha=\"0.01\", expect_size=\"39208960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47329280\", alpha=\"0.18\", expect_size=\"23664640\"] \n  1 -> 2 [size =\"23664640\"]\n  2 [size=\"104085504\", alpha=\"0.02\", expect_size=\"52042752\"] \n  2 -> 3 [size =\"52042752\"]\n  3 [size=\"80553984\", alpha=\"0.09\", expect_size=\"40276992\"] \n  3 -> 4 [size =\"40276992\"]\n  4 [size=\"68919296\", alpha=\"0.09\", expect_size=\"34459648\"] \n  4 -> 5 [size =\"34459648\"]\n  5 [size=\"21962752\", alpha=\"0.17\", expect_size=\"10981376\"] \n  5 -> 6 [size =\"10981376\"]\n  6 [size=\"49336320\", alpha=\"0.09\", expect_size=\"24668160\"] \n  6 -> 7 [size =\"24668160\"]\n  7 [size=\"103675904\", alpha=\"0.08\", expect_size=\"51837952\"] \n  7 -> 8 [size =\"51837952\"]\n  8 [size=\"75186176\", alpha=\"0.05\", expect_size=\"37593088\"] \n  8 -> 9 [size =\"37593088\"]\n  9 [size=\"93917184\", alpha=\"0.16\", expect_size=\"46958592\"] \n  9 -> 10 [size =\"46958592\"]\n  10 [size=\"68292608\", alpha=\"0.19\", expect_size=\"34146304\"] \n  10 -> 11 [size =\"34146304\"]\n  11 [size=\"36450304\", alpha=\"0.08\", expect_size=\"18225152\"] \n  11 -> 12 [size =\"18225152\"]\n  12 [size=\"25944064\", alpha=\"0.19\", expect_size=\"12972032\"] \n  12 -> 13 [size =\"12972032\"]\n  13 [size=\"35235840\", alpha=\"0.03\", expect_size=\"17617920\"] \n  13 -> 14 [size =\"17617920\"]\n  14 [size=\"79863808\", alpha=\"0.20\", expect_size=\"39931904\"] \n  14 -> 15 [size =\"39931904\"]\n  15 [size=\"27408384\", alpha=\"0.17\", expect_size=\"13704192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46479360\", alpha=\"0.16\", expect_size=\"13943808\"] \n  1 -> 10 [size =\"13943808\"]\n  1 -> 12 [size =\"13943808\"]\n  1 -> 13 [size =\"13943808\"]\n  1 -> 14 [size =\"13943808\"]\n  2 [size=\"40086187\", alpha=\"0.19\", expect_size=\"12025856\"] \n  2 -> 9 [size =\"12025856\"]\n  2 -> 11 [size =\"12025856\"]\n  2 -> 12 [size =\"12025856\"]\n  2 -> 13 [size =\"12025856\"]\n  3 [size=\"145554773\", alpha=\"0.02\", expect_size=\"43666432\"] \n  3 -> 13 [size =\"43666432\"]\n  4 [size=\"26600107\", alpha=\"0.15\", expect_size=\"7980032\"] \n  4 -> 9 [size =\"7980032\"]\n  4 -> 10 [size =\"7980032\"]\n  4 -> 11 [size =\"7980032\"]\n  4 -> 14 [size =\"7980032\"]\n  5 [size=\"41489067\", alpha=\"0.06\", expect_size=\"12446720\"] \n  5 -> 11 [size =\"12446720\"]\n  5 -> 12 [size =\"12446720\"]\n  5 -> 13 [size =\"12446720\"]\n  5 -> 14 [size =\"12446720\"]\n  5 -> 15 [size =\"12446720\"]\n  6 [size=\"84367360\", alpha=\"0.18\", expect_size=\"25310208\"] \n  6 -> 9 [size =\"25310208\"]\n  6 -> 12 [size =\"25310208\"]\n  7 [size=\"57217707\", alpha=\"0.13\", expect_size=\"17165312\"] \n  7 -> 9 [size =\"17165312\"]\n  7 -> 10 [size =\"17165312\"]\n  7 -> 12 [size =\"17165312\"]\n  7 -> 14 [size =\"17165312\"]\n  8 [size=\"131700053\", alpha=\"0.16\", expect_size=\"39510016\"] \n  8 -> 9 [size =\"39510016\"]\n  8 -> 10 [size =\"39510016\"]\n  8 -> 11 [size =\"39510016\"]\n  8 -> 13 [size =\"39510016\"]\n  8 -> 14 [size =\"39510016\"]\n  9 [size=\"76701013\", alpha=\"0.00\", expect_size=\"23010304\"] \n  10 [size=\"97320960\", alpha=\"0.03\", expect_size=\"29196288\"] \n  11 [size=\"85804373\", alpha=\"0.04\", expect_size=\"25741312\"] \n  12 [size=\"54746453\", alpha=\"0.01\", expect_size=\"16423936\"] \n  13 [size=\"44008107\", alpha=\"0.05\", expect_size=\"13202432\"] \n  14 [size=\"59706027\", alpha=\"0.04\", expect_size=\"17911808\"] \n  15 [size=\"18698240\", alpha=\"0.01\", expect_size=\"5609472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106304000\", alpha=\"0.13\", expect_size=\"42521600\"] \n  1 -> 11 [size =\"42521600\"]\n  1 -> 14 [size =\"42521600\"]\n  2 [size=\"82206720\", alpha=\"0.10\", expect_size=\"32882688\"] \n  2 -> 11 [size =\"32882688\"]\n  2 -> 14 [size =\"32882688\"]\n  2 -> 15 [size =\"32882688\"]\n  3 [size=\"63319040\", alpha=\"0.02\", expect_size=\"25327616\"] \n  3 -> 13 [size =\"25327616\"]\n  3 -> 14 [size =\"25327616\"]\n  3 -> 15 [size =\"25327616\"]\n  4 [size=\"58193920\", alpha=\"0.07\", expect_size=\"23277568\"] \n  4 -> 13 [size =\"23277568\"]\n  4 -> 14 [size =\"23277568\"]\n  5 [size=\"88166400\", alpha=\"0.13\", expect_size=\"35266560\"] \n  5 -> 11 [size =\"35266560\"]\n  5 -> 12 [size =\"35266560\"]\n  6 [size=\"125678080\", alpha=\"0.04\", expect_size=\"50271232\"] \n  6 -> 12 [size =\"50271232\"]\n  7 [size=\"60044800\", alpha=\"0.11\", expect_size=\"24017920\"] \n  7 -> 12 [size =\"24017920\"]\n  7 -> 13 [size =\"24017920\"]\n  8 [size=\"127418880\", alpha=\"0.05\", expect_size=\"50967552\"] \n  8 -> 11 [size =\"50967552\"]\n  9 [size=\"107097600\", alpha=\"0.04\", expect_size=\"42839040\"] \n  9 -> 14 [size =\"42839040\"]\n  10 [size=\"88158720\", alpha=\"0.11\", expect_size=\"35263488\"] \n  10 -> 11 [size =\"35263488\"]\n  10 -> 12 [size =\"35263488\"]\n  10 -> 13 [size =\"35263488\"]\n  10 -> 14 [size =\"35263488\"]\n  11 [size=\"59043840\", alpha=\"0.05\", expect_size=\"23617536\"] \n  12 [size=\"20231680\", alpha=\"0.16\", expect_size=\"8092672\"] \n  13 [size=\"81845760\", alpha=\"0.03\", expect_size=\"32738304\"] \n  14 [size=\"95946240\", alpha=\"0.19\", expect_size=\"38378496\"] \n  15 [size=\"18549760\", alpha=\"0.04\", expect_size=\"7419904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106542080\", alpha=\"0.19\", expect_size=\"42616832\"] \n  1 -> 7 [size =\"42616832\"]\n  1 -> 8 [size =\"42616832\"]\n  1 -> 9 [size =\"42616832\"]\n  1 -> 10 [size =\"42616832\"]\n  1 -> 11 [size =\"42616832\"]\n  1 -> 12 [size =\"42616832\"]\n  1 -> 14 [size =\"42616832\"]\n  2 [size=\"17395200\", alpha=\"0.08\", expect_size=\"6958080\"] \n  2 -> 7 [size =\"6958080\"]\n  2 -> 9 [size =\"6958080\"]\n  2 -> 9 [size =\"6958080\"]\n  2 -> 13 [size =\"6958080\"]\n  2 -> 14 [size =\"6958080\"]\n  3 [size=\"84067840\", alpha=\"0.11\", expect_size=\"33627136\"] \n  3 -> 7 [size =\"33627136\"]\n  3 -> 8 [size =\"33627136\"]\n  3 -> 9 [size =\"33627136\"]\n  3 -> 10 [size =\"33627136\"]\n  3 -> 14 [size =\"33627136\"]\n  4 [size=\"83624960\", alpha=\"0.13\", expect_size=\"33449984\"] \n  4 -> 7 [size =\"33449984\"]\n  4 -> 9 [size =\"33449984\"]\n  4 -> 13 [size =\"33449984\"]\n  4 -> 15 [size =\"33449984\"]\n  5 [size=\"72627200\", alpha=\"0.15\", expect_size=\"29050880\"] \n  5 -> 7 [size =\"29050880\"]\n  5 -> 10 [size =\"29050880\"]\n  5 -> 15 [size =\"29050880\"]\n  6 [size=\"17920000\", alpha=\"0.09\", expect_size=\"7168000\"] \n  6 -> 7 [size =\"7168000\"]\n  6 -> 8 [size =\"7168000\"]\n  6 -> 9 [size =\"7168000\"]\n  6 -> 10 [size =\"7168000\"]\n  6 -> 11 [size =\"7168000\"]\n  6 -> 14 [size =\"7168000\"]\n  7 [size=\"130024960\", alpha=\"0.20\", expect_size=\"52009984\"] \n  8 [size=\"19348480\", alpha=\"0.09\", expect_size=\"7739392\"] \n  9 [size=\"49070080\", alpha=\"0.17\", expect_size=\"19628032\"] \n  10 [size=\"63900160\", alpha=\"0.19\", expect_size=\"25560064\"] \n  11 [size=\"60587520\", alpha=\"0.09\", expect_size=\"24235008\"] \n  12 [size=\"55741440\", alpha=\"0.02\", expect_size=\"22296576\"] \n  13 [size=\"104376320\", alpha=\"0.04\", expect_size=\"41750528\"] \n  14 [size=\"51338240\", alpha=\"0.15\", expect_size=\"20535296\"] \n  15 [size=\"128389120\", alpha=\"0.17\", expect_size=\"51355648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99560107\", alpha=\"0.02\", expect_size=\"29868032\"] \n  1 -> 4 [size =\"29868032\"]\n  1 -> 5 [size =\"29868032\"]\n  1 -> 6 [size =\"29868032\"]\n  2 [size=\"100853760\", alpha=\"0.03\", expect_size=\"30256128\"] \n  2 -> 5 [size =\"30256128\"]\n  3 [size=\"48667307\", alpha=\"0.09\", expect_size=\"14600192\"] \n  3 -> 4 [size =\"14600192\"]\n  3 -> 6 [size =\"14600192\"]\n  4 [size=\"113489920\", alpha=\"0.00\", expect_size=\"34046976\"] \n  4 -> 7 [size =\"34046976\"]\n  4 -> 9 [size =\"34046976\"]\n  5 [size=\"170383360\", alpha=\"0.01\", expect_size=\"51115008\"] \n  5 -> 7 [size =\"51115008\"]\n  5 -> 9 [size =\"51115008\"]\n  5 -> 10 [size =\"51115008\"]\n  6 [size=\"100853760\", alpha=\"0.09\", expect_size=\"30256128\"] \n  6 -> 8 [size =\"30256128\"]\n  7 [size=\"127034027\", alpha=\"0.04\", expect_size=\"38110208\"] \n  8 [size=\"48769707\", alpha=\"0.18\", expect_size=\"14630912\"] \n  8 -> 12 [size =\"14630912\"]\n  9 [size=\"134410240\", alpha=\"0.08\", expect_size=\"40323072\"] \n  9 -> 11 [size =\"40323072\"]\n  10 [size=\"67672747\", alpha=\"0.15\", expect_size=\"20301824\"] \n  11 [size=\"151770453\", alpha=\"0.11\", expect_size=\"45531136\"] \n  11 -> 13 [size =\"45531136\"]\n  11 -> 15 [size =\"45531136\"]\n  12 [size=\"168628907\", alpha=\"0.11\", expect_size=\"50588672\"] \n  12 -> 13 [size =\"50588672\"]\n  12 -> 14 [size =\"50588672\"]\n  13 [size=\"32146773\", alpha=\"0.13\", expect_size=\"9644032\"] \n  14 [size=\"101362347\", alpha=\"0.16\", expect_size=\"30408704\"] \n  15 [size=\"104376320\", alpha=\"0.09\", expect_size=\"31312896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48904192\", alpha=\"0.00\", expect_size=\"24452096\"] \n  1 -> 7 [size =\"24452096\"]\n  2 [size=\"29587456\", alpha=\"0.14\", expect_size=\"14793728\"] \n  2 -> 5 [size =\"14793728\"]\n  2 -> 6 [size =\"14793728\"]\n  2 -> 9 [size =\"14793728\"]\n  3 [size=\"72525824\", alpha=\"0.18\", expect_size=\"36262912\"] \n  3 -> 8 [size =\"36262912\"]\n  3 -> 9 [size =\"36262912\"]\n  4 [size=\"62492672\", alpha=\"0.02\", expect_size=\"31246336\"] \n  4 -> 7 [size =\"31246336\"]\n  4 -> 8 [size =\"31246336\"]\n  5 [size=\"47419392\", alpha=\"0.11\", expect_size=\"23709696\"] \n  5 -> 10 [size =\"23709696\"]\n  5 -> 11 [size =\"23709696\"]\n  6 [size=\"44638208\", alpha=\"0.14\", expect_size=\"22319104\"] \n  6 -> 12 [size =\"22319104\"]\n  7 [size=\"43175936\", alpha=\"0.19\", expect_size=\"21587968\"] \n  7 -> 11 [size =\"21587968\"]\n  8 [size=\"75114496\", alpha=\"0.14\", expect_size=\"37557248\"] \n  9 [size=\"65417216\", alpha=\"0.17\", expect_size=\"32708608\"] \n  9 -> 10 [size =\"32708608\"]\n  10 [size=\"90040320\", alpha=\"0.17\", expect_size=\"45020160\"] \n  11 [size=\"41615360\", alpha=\"0.17\", expect_size=\"20807680\"] \n  11 -> 14 [size =\"20807680\"]\n  11 -> 15 [size =\"20807680\"]\n  12 [size=\"43274240\", alpha=\"0.10\", expect_size=\"21637120\"] \n  12 -> 13 [size =\"21637120\"]\n  12 -> 15 [size =\"21637120\"]\n  13 [size=\"14897152\", alpha=\"0.00\", expect_size=\"7448576\"] \n  14 [size=\"99051520\", alpha=\"0.12\", expect_size=\"49525760\"] \n  15 [size=\"11827200\", alpha=\"0.13\", expect_size=\"5913600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73787392\", alpha=\"0.04\", expect_size=\"36893696\"] \n  1 -> 3 [size =\"36893696\"]\n  2 [size=\"24434688\", alpha=\"0.10\", expect_size=\"12217344\"] \n  2 -> 4 [size =\"12217344\"]\n  3 [size=\"80908288\", alpha=\"0.08\", expect_size=\"40454144\"] \n  3 -> 6 [size =\"40454144\"]\n  4 [size=\"27029504\", alpha=\"0.06\", expect_size=\"13514752\"] \n  4 -> 5 [size =\"13514752\"]\n  5 [size=\"33077248\", alpha=\"0.08\", expect_size=\"16538624\"] \n  5 -> 7 [size =\"16538624\"]\n  6 [size=\"69740544\", alpha=\"0.01\", expect_size=\"34870272\"] \n  7 [size=\"33884160\", alpha=\"0.11\", expect_size=\"16942080\"] \n  7 -> 8 [size =\"16942080\"]\n  8 [size=\"31350784\", alpha=\"0.03\", expect_size=\"15675392\"] \n  8 -> 9 [size =\"15675392\"]\n  8 -> 10 [size =\"15675392\"]\n  9 [size=\"42823680\", alpha=\"0.02\", expect_size=\"21411840\"] \n  9 -> 11 [size =\"21411840\"]\n  10 [size=\"17618944\", alpha=\"0.07\", expect_size=\"8809472\"] \n  10 -> 12 [size =\"8809472\"]\n  11 [size=\"51640320\", alpha=\"0.04\", expect_size=\"25820160\"] \n  11 -> 13 [size =\"25820160\"]\n  12 [size=\"69058560\", alpha=\"0.15\", expect_size=\"34529280\"] \n  13 [size=\"20289536\", alpha=\"0.16\", expect_size=\"10144768\"] \n  13 -> 14 [size =\"10144768\"]\n  14 [size=\"59981824\", alpha=\"0.02\", expect_size=\"29990912\"] \n  14 -> 15 [size =\"29990912\"]\n  15 [size=\"86540288\", alpha=\"0.06\", expect_size=\"43270144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128672427\", alpha=\"0.03\", expect_size=\"38601728\"] \n  1 -> 15 [size =\"38601728\"]\n  2 [size=\"150739627\", alpha=\"0.08\", expect_size=\"45221888\"] \n  3 [size=\"74653013\", alpha=\"0.14\", expect_size=\"22395904\"] \n  4 [size=\"44240213\", alpha=\"0.15\", expect_size=\"13272064\"] \n  4 -> 14 [size =\"13272064\"]\n  4 -> 15 [size =\"13272064\"]\n  5 [size=\"105642667\", alpha=\"0.02\", expect_size=\"31692800\"] \n  6 [size=\"105270613\", alpha=\"0.20\", expect_size=\"31581184\"] \n  6 -> 15 [size =\"31581184\"]\n  7 [size=\"90552320\", alpha=\"0.03\", expect_size=\"27165696\"] \n  8 [size=\"162727253\", alpha=\"0.12\", expect_size=\"48818176\"] \n  9 [size=\"168093013\", alpha=\"0.19\", expect_size=\"50427904\"] \n  10 [size=\"115981653\", alpha=\"0.12\", expect_size=\"34794496\"] \n  11 [size=\"45803520\", alpha=\"0.18\", expect_size=\"13741056\"] \n  12 [size=\"67584000\", alpha=\"0.07\", expect_size=\"20275200\"] \n  13 [size=\"126863360\", alpha=\"0.17\", expect_size=\"38059008\"] \n  13 -> 15 [size =\"38059008\"]\n  14 [size=\"77888853\", alpha=\"0.07\", expect_size=\"23366656\"] \n  15 [size=\"38615040\", alpha=\"0.15\", expect_size=\"11584512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50360320\", alpha=\"0.12\", expect_size=\"20144128\"] \n  1 -> 2 [size =\"20144128\"]\n  2 [size=\"35115520\", alpha=\"0.02\", expect_size=\"14046208\"] \n  2 -> 3 [size =\"14046208\"]\n  3 [size=\"129922560\", alpha=\"0.13\", expect_size=\"51969024\"] \n  3 -> 4 [size =\"51969024\"]\n  4 [size=\"50933760\", alpha=\"0.07\", expect_size=\"20373504\"] \n  4 -> 5 [size =\"20373504\"]\n  5 [size=\"53665280\", alpha=\"0.15\", expect_size=\"21466112\"] \n  5 -> 6 [size =\"21466112\"]\n  6 [size=\"15308800\", alpha=\"0.12\", expect_size=\"6123520\"] \n  6 -> 7 [size =\"6123520\"]\n  7 [size=\"110781440\", alpha=\"0.02\", expect_size=\"44312576\"] \n  7 -> 8 [size =\"44312576\"]\n  8 [size=\"85463040\", alpha=\"0.02\", expect_size=\"34185216\"] \n  8 -> 9 [size =\"34185216\"]\n  9 [size=\"22968320\", alpha=\"0.06\", expect_size=\"9187328\"] \n  9 -> 10 [size =\"9187328\"]\n  10 [size=\"21644800\", alpha=\"0.12\", expect_size=\"8657920\"] \n  10 -> 11 [size =\"8657920\"]\n  11 [size=\"85045760\", alpha=\"0.02\", expect_size=\"34018304\"] \n  11 -> 12 [size =\"34018304\"]\n  12 [size=\"35392000\", alpha=\"0.08\", expect_size=\"14156800\"] \n  12 -> 13 [size =\"14156800\"]\n  13 [size=\"47193600\", alpha=\"0.09\", expect_size=\"18877440\"] \n  13 -> 14 [size =\"18877440\"]\n  14 [size=\"124392960\", alpha=\"0.19\", expect_size=\"49757184\"] \n  14 -> 15 [size =\"49757184\"]\n  15 [size=\"49292800\", alpha=\"0.01\", expect_size=\"19717120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49616896\", alpha=\"0.17\", expect_size=\"24808448\"] \n  1 -> 13 [size =\"24808448\"]\n  2 [size=\"31918080\", alpha=\"0.01\", expect_size=\"15959040\"] \n  3 [size=\"18165760\", alpha=\"0.14\", expect_size=\"9082880\"] \n  3 -> 15 [size =\"9082880\"]\n  4 [size=\"40009728\", alpha=\"0.09\", expect_size=\"20004864\"] \n  5 [size=\"12472320\", alpha=\"0.07\", expect_size=\"6236160\"] \n  6 [size=\"20690944\", alpha=\"0.03\", expect_size=\"10345472\"] \n  7 [size=\"33646592\", alpha=\"0.09\", expect_size=\"16823296\"] \n  8 [size=\"47994880\", alpha=\"0.20\", expect_size=\"23997440\"] \n  8 -> 13 [size =\"23997440\"]\n  8 -> 15 [size =\"23997440\"]\n  9 [size=\"37273600\", alpha=\"0.16\", expect_size=\"18636800\"] \n  9 -> 13 [size =\"18636800\"]\n  9 -> 14 [size =\"18636800\"]\n  10 [size=\"92211200\", alpha=\"0.08\", expect_size=\"46105600\"] \n  11 [size=\"16959488\", alpha=\"0.19\", expect_size=\"8479744\"] \n  12 [size=\"99092480\", alpha=\"0.07\", expect_size=\"49546240\"] \n  13 [size=\"103979008\", alpha=\"0.14\", expect_size=\"51989504\"] \n  14 [size=\"77568000\", alpha=\"0.16\", expect_size=\"38784000\"] \n  15 [size=\"25634816\", alpha=\"0.10\", expect_size=\"12817408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123787947\", alpha=\"0.03\", expect_size=\"37136384\"] \n  1 -> 10 [size =\"37136384\"]\n  1 -> 11 [size =\"37136384\"]\n  1 -> 12 [size =\"37136384\"]\n  2 [size=\"113950720\", alpha=\"0.04\", expect_size=\"34185216\"] \n  2 -> 10 [size =\"34185216\"]\n  2 -> 11 [size =\"34185216\"]\n  2 -> 12 [size =\"34185216\"]\n  3 [size=\"21992107\", alpha=\"0.13\", expect_size=\"6597632\"] \n  3 -> 10 [size =\"6597632\"]\n  3 -> 12 [size =\"6597632\"]\n  3 -> 14 [size =\"6597632\"]\n  4 [size=\"156535467\", alpha=\"0.20\", expect_size=\"46960640\"] \n  4 -> 13 [size =\"46960640\"]\n  4 -> 14 [size =\"46960640\"]\n  5 [size=\"40642560\", alpha=\"0.13\", expect_size=\"12192768\"] \n  5 -> 10 [size =\"12192768\"]\n  5 -> 13 [size =\"12192768\"]\n  6 [size=\"167065600\", alpha=\"0.18\", expect_size=\"50119680\"] \n  6 -> 13 [size =\"50119680\"]\n  7 [size=\"48486400\", alpha=\"0.13\", expect_size=\"14545920\"] \n  7 -> 11 [size =\"14545920\"]\n  7 -> 14 [size =\"14545920\"]\n  8 [size=\"131816107\", alpha=\"0.14\", expect_size=\"39544832\"] \n  8 -> 9 [size =\"39544832\"]\n  8 -> 11 [size =\"39544832\"]\n  8 -> 13 [size =\"39544832\"]\n  8 -> 14 [size =\"39544832\"]\n  9 [size=\"34973013\", alpha=\"0.10\", expect_size=\"10491904\"] \n  9 -> 15 [size =\"10491904\"]\n  10 [size=\"169274027\", alpha=\"0.00\", expect_size=\"50782208\"] \n  11 [size=\"93170347\", alpha=\"0.15\", expect_size=\"27951104\"] \n  11 -> 15 [size =\"27951104\"]\n  12 [size=\"118992213\", alpha=\"0.07\", expect_size=\"35697664\"] \n  13 [size=\"148384427\", alpha=\"0.02\", expect_size=\"44515328\"] \n  13 -> 15 [size =\"44515328\"]\n  14 [size=\"90207573\", alpha=\"0.03\", expect_size=\"27062272\"] \n  15 [size=\"89661440\", alpha=\"0.07\", expect_size=\"26898432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68333568\", alpha=\"0.17\", expect_size=\"34166784\"] \n  1 -> 7 [size =\"34166784\"]\n  1 -> 8 [size =\"34166784\"]\n  1 -> 9 [size =\"34166784\"]\n  1 -> 10 [size =\"34166784\"]\n  2 [size=\"80318464\", alpha=\"0.04\", expect_size=\"40159232\"] \n  2 -> 8 [size =\"40159232\"]\n  2 -> 9 [size =\"40159232\"]\n  2 -> 10 [size =\"40159232\"]\n  2 -> 10 [size =\"40159232\"]\n  2 -> 11 [size =\"40159232\"]\n  3 [size=\"82964480\", alpha=\"0.14\", expect_size=\"41482240\"] \n  3 -> 8 [size =\"41482240\"]\n  3 -> 9 [size =\"41482240\"]\n  3 -> 10 [size =\"41482240\"]\n  4 [size=\"26439680\", alpha=\"0.12\", expect_size=\"13219840\"] \n  4 -> 8 [size =\"13219840\"]\n  4 -> 9 [size =\"13219840\"]\n  4 -> 10 [size =\"13219840\"]\n  4 -> 11 [size =\"13219840\"]\n  5 [size=\"63997952\", alpha=\"0.07\", expect_size=\"31998976\"] \n  5 -> 8 [size =\"31998976\"]\n  5 -> 9 [size =\"31998976\"]\n  5 -> 11 [size =\"31998976\"]\n  6 [size=\"85987328\", alpha=\"0.17\", expect_size=\"42993664\"] \n  6 -> 8 [size =\"42993664\"]\n  6 -> 9 [size =\"42993664\"]\n  6 -> 10 [size =\"42993664\"]\n  7 [size=\"83699712\", alpha=\"0.14\", expect_size=\"41849856\"] \n  7 -> 12 [size =\"41849856\"]\n  7 -> 14 [size =\"41849856\"]\n  8 [size=\"98396160\", alpha=\"0.01\", expect_size=\"49198080\"] \n  8 -> 12 [size =\"49198080\"]\n  8 -> 13 [size =\"49198080\"]\n  9 [size=\"75270144\", alpha=\"0.05\", expect_size=\"37635072\"] \n  9 -> 12 [size =\"37635072\"]\n  10 [size=\"33734656\", alpha=\"0.07\", expect_size=\"16867328\"] \n  10 -> 12 [size =\"16867328\"]\n  10 -> 14 [size =\"16867328\"]\n  11 [size=\"64505856\", alpha=\"0.10\", expect_size=\"32252928\"] \n  11 -> 14 [size =\"32252928\"]\n  11 -> 14 [size =\"32252928\"]\n  12 [size=\"50075648\", alpha=\"0.06\", expect_size=\"25037824\"] \n  13 [size=\"70066176\", alpha=\"0.05\", expect_size=\"35033088\"] \n  14 [size=\"42033152\", alpha=\"0.05\", expect_size=\"21016576\"] \n  14 -> 15 [size =\"21016576\"]\n  15 [size=\"97302528\", alpha=\"0.19\", expect_size=\"48651264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79654400\", alpha=\"0.08\", expect_size=\"31861760\"] \n  1 -> 4 [size =\"31861760\"]\n  2 [size=\"116344320\", alpha=\"0.06\", expect_size=\"46537728\"] \n  3 [size=\"130882560\", alpha=\"0.09\", expect_size=\"52353024\"] \n  3 -> 4 [size =\"52353024\"]\n  3 -> 5 [size =\"52353024\"]\n  3 -> 6 [size =\"52353024\"]\n  4 [size=\"130647040\", alpha=\"0.04\", expect_size=\"52258816\"] \n  4 -> 7 [size =\"52258816\"]\n  4 -> 8 [size =\"52258816\"]\n  5 [size=\"99980800\", alpha=\"0.04\", expect_size=\"39992320\"] \n  5 -> 8 [size =\"39992320\"]\n  5 -> 9 [size =\"39992320\"]\n  6 [size=\"63692800\", alpha=\"0.03\", expect_size=\"25477120\"] \n  7 [size=\"32299520\", alpha=\"0.11\", expect_size=\"12919808\"] \n  7 -> 10 [size =\"12919808\"]\n  8 [size=\"61903360\", alpha=\"0.05\", expect_size=\"24761344\"] \n  8 -> 10 [size =\"24761344\"]\n  9 [size=\"125557760\", alpha=\"0.19\", expect_size=\"50223104\"] \n  9 -> 11 [size =\"50223104\"]\n  10 [size=\"93821440\", alpha=\"0.18\", expect_size=\"37528576\"] \n  10 -> 14 [size =\"37528576\"]\n  11 [size=\"41044480\", alpha=\"0.15\", expect_size=\"16417792\"] \n  11 -> 12 [size =\"16417792\"]\n  11 -> 13 [size =\"16417792\"]\n  12 [size=\"90012160\", alpha=\"0.01\", expect_size=\"36004864\"] \n  13 [size=\"123671040\", alpha=\"0.16\", expect_size=\"49468416\"] \n  13 -> 15 [size =\"49468416\"]\n  14 [size=\"61419520\", alpha=\"0.04\", expect_size=\"24567808\"] \n  15 [size=\"84538880\", alpha=\"0.07\", expect_size=\"33815552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98000896\", alpha=\"0.15\", expect_size=\"49000448\"] \n  1 -> 2 [size =\"49000448\"]\n  2 [size=\"23439360\", alpha=\"0.07\", expect_size=\"11719680\"] \n  2 -> 3 [size =\"11719680\"]\n  3 [size=\"62855168\", alpha=\"0.08\", expect_size=\"31427584\"] \n  3 -> 4 [size =\"31427584\"]\n  4 [size=\"71211008\", alpha=\"0.20\", expect_size=\"35605504\"] \n  4 -> 5 [size =\"35605504\"]\n  5 [size=\"41715712\", alpha=\"0.08\", expect_size=\"20857856\"] \n  5 -> 6 [size =\"20857856\"]\n  6 [size=\"30982144\", alpha=\"0.19\", expect_size=\"15491072\"] \n  6 -> 7 [size =\"15491072\"]\n  7 [size=\"16156672\", alpha=\"0.06\", expect_size=\"8078336\"] \n  7 -> 8 [size =\"8078336\"]\n  8 [size=\"63547392\", alpha=\"0.14\", expect_size=\"31773696\"] \n  8 -> 9 [size =\"31773696\"]\n  9 [size=\"19712000\", alpha=\"0.00\", expect_size=\"9856000\"] \n  9 -> 10 [size =\"9856000\"]\n  10 [size=\"78254080\", alpha=\"0.08\", expect_size=\"39127040\"] \n  10 -> 11 [size =\"39127040\"]\n  11 [size=\"28114944\", alpha=\"0.14\", expect_size=\"14057472\"] \n  11 -> 12 [size =\"14057472\"]\n  12 [size=\"97964032\", alpha=\"0.03\", expect_size=\"48982016\"] \n  12 -> 13 [size =\"48982016\"]\n  13 [size=\"36229120\", alpha=\"0.05\", expect_size=\"18114560\"] \n  13 -> 14 [size =\"18114560\"]\n  14 [size=\"73256960\", alpha=\"0.12\", expect_size=\"36628480\"] \n  14 -> 15 [size =\"36628480\"]\n  15 [size=\"72611840\", alpha=\"0.13\", expect_size=\"36305920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73863680\", alpha=\"0.18\", expect_size=\"29545472\"] \n  1 -> 2 [size =\"29545472\"]\n  2 [size=\"65781760\", alpha=\"0.02\", expect_size=\"26312704\"] \n  2 -> 3 [size =\"26312704\"]\n  2 -> 4 [size =\"26312704\"]\n  3 [size=\"75706880\", alpha=\"0.07\", expect_size=\"30282752\"] \n  3 -> 5 [size =\"30282752\"]\n  4 [size=\"30891520\", alpha=\"0.04\", expect_size=\"12356608\"] \n  5 [size=\"57556480\", alpha=\"0.11\", expect_size=\"23022592\"] \n  5 -> 6 [size =\"23022592\"]\n  5 -> 7 [size =\"23022592\"]\n  6 [size=\"34186240\", alpha=\"0.18\", expect_size=\"13674496\"] \n  6 -> 8 [size =\"13674496\"]\n  6 -> 9 [size =\"13674496\"]\n  7 [size=\"46876160\", alpha=\"0.00\", expect_size=\"18750464\"] \n  7 -> 8 [size =\"18750464\"]\n  7 -> 9 [size =\"18750464\"]\n  8 [size=\"55872000\", alpha=\"0.01\", expect_size=\"22348800\"] \n  8 -> 10 [size =\"22348800\"]\n  9 [size=\"50201600\", alpha=\"0.01\", expect_size=\"20080640\"] \n  9 -> 10 [size =\"20080640\"]\n  10 [size=\"82240000\", alpha=\"0.03\", expect_size=\"32896000\"] \n  10 -> 11 [size =\"32896000\"]\n  11 [size=\"28318720\", alpha=\"0.19\", expect_size=\"11327488\"] \n  11 -> 12 [size =\"11327488\"]\n  11 -> 13 [size =\"11327488\"]\n  12 [size=\"16724480\", alpha=\"0.13\", expect_size=\"6689792\"] \n  12 -> 14 [size =\"6689792\"]\n  13 [size=\"29437440\", alpha=\"0.16\", expect_size=\"11774976\"] \n  14 [size=\"71790080\", alpha=\"0.01\", expect_size=\"28716032\"] \n  14 -> 15 [size =\"28716032\"]\n  15 [size=\"98186240\", alpha=\"0.13\", expect_size=\"39274496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90506240\", alpha=\"0.10\", expect_size=\"36202496\"] \n  2 [size=\"116871680\", alpha=\"0.04\", expect_size=\"46748672\"] \n  3 [size=\"101785600\", alpha=\"0.08\", expect_size=\"40714240\"] \n  3 -> 8 [size =\"40714240\"]\n  3 -> 9 [size =\"40714240\"]\n  3 -> 12 [size =\"40714240\"]\n  4 [size=\"53506560\", alpha=\"0.20\", expect_size=\"21402624\"] \n  4 -> 9 [size =\"21402624\"]\n  4 -> 11 [size =\"21402624\"]\n  4 -> 12 [size =\"21402624\"]\n  5 [size=\"74117120\", alpha=\"0.11\", expect_size=\"29646848\"] \n  5 -> 11 [size =\"29646848\"]\n  6 [size=\"103127040\", alpha=\"0.13\", expect_size=\"41250816\"] \n  6 -> 11 [size =\"41250816\"]\n  7 [size=\"71329280\", alpha=\"0.06\", expect_size=\"28531712\"] \n  7 -> 10 [size =\"28531712\"]\n  7 -> 11 [size =\"28531712\"]\n  8 [size=\"100096000\", alpha=\"0.14\", expect_size=\"40038400\"] \n  8 -> 15 [size =\"40038400\"]\n  9 [size=\"115640320\", alpha=\"0.11\", expect_size=\"46256128\"] \n  10 [size=\"85245440\", alpha=\"0.17\", expect_size=\"34098176\"] \n  11 [size=\"14164480\", alpha=\"0.04\", expect_size=\"5665792\"] \n  11 -> 14 [size =\"5665792\"]\n  12 [size=\"70561280\", alpha=\"0.14\", expect_size=\"28224512\"] \n  12 -> 13 [size =\"28224512\"]\n  12 -> 14 [size =\"28224512\"]\n  13 [size=\"95641600\", alpha=\"0.15\", expect_size=\"38256640\"] \n  14 [size=\"27409920\", alpha=\"0.00\", expect_size=\"10963968\"] \n  15 [size=\"25958400\", alpha=\"0.12\", expect_size=\"10383360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42063360\", alpha=\"0.09\", expect_size=\"16825344\"] \n  1 -> 7 [size =\"16825344\"]\n  1 -> 8 [size =\"16825344\"]\n  1 -> 10 [size =\"16825344\"]\n  1 -> 12 [size =\"16825344\"]\n  2 [size=\"14512640\", alpha=\"0.03\", expect_size=\"5805056\"] \n  2 -> 7 [size =\"5805056\"]\n  2 -> 8 [size =\"5805056\"]\n  3 [size=\"38886400\", alpha=\"0.09\", expect_size=\"15554560\"] \n  3 -> 10 [size =\"15554560\"]\n  3 -> 11 [size =\"15554560\"]\n  4 [size=\"26032640\", alpha=\"0.09\", expect_size=\"10413056\"] \n  4 -> 7 [size =\"10413056\"]\n  4 -> 8 [size =\"10413056\"]\n  4 -> 9 [size =\"10413056\"]\n  4 -> 10 [size =\"10413056\"]\n  4 -> 11 [size =\"10413056\"]\n  5 [size=\"53504000\", alpha=\"0.05\", expect_size=\"21401600\"] \n  5 -> 9 [size =\"21401600\"]\n  6 [size=\"74324480\", alpha=\"0.20\", expect_size=\"29729792\"] \n  6 -> 8 [size =\"29729792\"]\n  6 -> 9 [size =\"29729792\"]\n  6 -> 10 [size =\"29729792\"]\n  7 [size=\"90721280\", alpha=\"0.03\", expect_size=\"36288512\"] \n  7 -> 13 [size =\"36288512\"]\n  8 [size=\"24478720\", alpha=\"0.18\", expect_size=\"9791488\"] \n  8 -> 13 [size =\"9791488\"]\n  9 [size=\"97415680\", alpha=\"0.11\", expect_size=\"38966272\"] \n  9 -> 13 [size =\"38966272\"]\n  9 -> 15 [size =\"38966272\"]\n  10 [size=\"65111040\", alpha=\"0.07\", expect_size=\"26044416\"] \n  10 -> 13 [size =\"26044416\"]\n  10 -> 14 [size =\"26044416\"]\n  11 [size=\"117813760\", alpha=\"0.02\", expect_size=\"47125504\"] \n  11 -> 13 [size =\"47125504\"]\n  12 [size=\"52008960\", alpha=\"0.02\", expect_size=\"20803584\"] \n  12 -> 13 [size =\"20803584\"]\n  13 [size=\"69063680\", alpha=\"0.09\", expect_size=\"27625472\"] \n  14 [size=\"121182720\", alpha=\"0.08\", expect_size=\"48473088\"] \n  15 [size=\"56212480\", alpha=\"0.11\", expect_size=\"22484992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82112000\", alpha=\"0.05\", expect_size=\"32844800\"] \n  2 [size=\"24865280\", alpha=\"0.08\", expect_size=\"9946112\"] \n  2 -> 9 [size =\"9946112\"]\n  2 -> 10 [size =\"9946112\"]\n  2 -> 11 [size =\"9946112\"]\n  3 [size=\"112542720\", alpha=\"0.08\", expect_size=\"45017088\"] \n  3 -> 9 [size =\"45017088\"]\n  3 -> 11 [size =\"45017088\"]\n  4 [size=\"81766400\", alpha=\"0.15\", expect_size=\"32706560\"] \n  4 -> 11 [size =\"32706560\"]\n  4 -> 11 [size =\"32706560\"]\n  5 [size=\"15257600\", alpha=\"0.08\", expect_size=\"6103040\"] \n  5 -> 10 [size =\"6103040\"]\n  6 [size=\"83008000\", alpha=\"0.15\", expect_size=\"33203200\"] \n  6 -> 9 [size =\"33203200\"]\n  7 [size=\"59752960\", alpha=\"0.01\", expect_size=\"23901184\"] \n  7 -> 9 [size =\"23901184\"]\n  7 -> 11 [size =\"23901184\"]\n  8 [size=\"44037120\", alpha=\"0.02\", expect_size=\"17614848\"] \n  8 -> 10 [size =\"17614848\"]\n  9 [size=\"121843200\", alpha=\"0.03\", expect_size=\"48737280\"] \n  9 -> 12 [size =\"48737280\"]\n  9 -> 13 [size =\"48737280\"]\n  9 -> 14 [size =\"48737280\"]\n  10 [size=\"113031680\", alpha=\"0.04\", expect_size=\"45212672\"] \n  10 -> 13 [size =\"45212672\"]\n  11 [size=\"99466240\", alpha=\"0.12\", expect_size=\"39786496\"] \n  11 -> 13 [size =\"39786496\"]\n  11 -> 14 [size =\"39786496\"]\n  12 [size=\"126952960\", alpha=\"0.07\", expect_size=\"50781184\"] \n  13 [size=\"54597120\", alpha=\"0.12\", expect_size=\"21838848\"] \n  13 -> 15 [size =\"21838848\"]\n  14 [size=\"103022080\", alpha=\"0.11\", expect_size=\"41208832\"] \n  15 [size=\"74652160\", alpha=\"0.07\", expect_size=\"29860864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168669867\", alpha=\"0.01\", expect_size=\"50600960\"] \n  2 [size=\"83606187\", alpha=\"0.12\", expect_size=\"25081856\"] \n  2 -> 3 [size =\"25081856\"]\n  2 -> 4 [size =\"25081856\"]\n  3 [size=\"95880533\", alpha=\"0.09\", expect_size=\"28764160\"] \n  3 -> 5 [size =\"28764160\"]\n  3 -> 6 [size =\"28764160\"]\n  4 [size=\"170670080\", alpha=\"0.09\", expect_size=\"51201024\"] \n  4 -> 5 [size =\"51201024\"]\n  4 -> 6 [size =\"51201024\"]\n  5 [size=\"157614080\", alpha=\"0.04\", expect_size=\"47284224\"] \n  5 -> 7 [size =\"47284224\"]\n  6 [size=\"21026133\", alpha=\"0.08\", expect_size=\"6307840\"] \n  6 -> 8 [size =\"6307840\"]\n  7 [size=\"33583787\", alpha=\"0.13\", expect_size=\"10075136\"] \n  7 -> 9 [size =\"10075136\"]\n  7 -> 10 [size =\"10075136\"]\n  7 -> 11 [size =\"10075136\"]\n  8 [size=\"44059307\", alpha=\"0.12\", expect_size=\"13217792\"] \n  8 -> 11 [size =\"13217792\"]\n  9 [size=\"90231467\", alpha=\"0.01\", expect_size=\"27069440\"] \n  9 -> 12 [size =\"27069440\"]\n  9 -> 13 [size =\"27069440\"]\n  9 -> 14 [size =\"27069440\"]\n  10 [size=\"160580267\", alpha=\"0.14\", expect_size=\"48174080\"] \n  10 -> 12 [size =\"48174080\"]\n  11 [size=\"101256533\", alpha=\"0.08\", expect_size=\"30376960\"] \n  11 -> 14 [size =\"30376960\"]\n  12 [size=\"111616000\", alpha=\"0.20\", expect_size=\"33484800\"] \n  13 [size=\"52340053\", alpha=\"0.07\", expect_size=\"15702016\"] \n  13 -> 15 [size =\"15702016\"]\n  14 [size=\"121402027\", alpha=\"0.15\", expect_size=\"36420608\"] \n  14 -> 15 [size =\"36420608\"]\n  15 [size=\"35133440\", alpha=\"0.19\", expect_size=\"10540032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150725973\", alpha=\"0.08\", expect_size=\"45217792\"] \n  1 -> 2 [size =\"45217792\"]\n  2 [size=\"68618240\", alpha=\"0.17\", expect_size=\"20585472\"] \n  2 -> 3 [size =\"20585472\"]\n  3 [size=\"63761067\", alpha=\"0.01\", expect_size=\"19128320\"] \n  3 -> 4 [size =\"19128320\"]\n  4 [size=\"70092800\", alpha=\"0.08\", expect_size=\"21027840\"] \n  4 -> 5 [size =\"21027840\"]\n  5 [size=\"102471680\", alpha=\"0.15\", expect_size=\"30741504\"] \n  5 -> 6 [size =\"30741504\"]\n  6 [size=\"66017280\", alpha=\"0.01\", expect_size=\"19805184\"] \n  6 -> 7 [size =\"19805184\"]\n  7 [size=\"156156587\", alpha=\"0.20\", expect_size=\"46846976\"] \n  7 -> 8 [size =\"46846976\"]\n  8 [size=\"90951680\", alpha=\"0.10\", expect_size=\"27285504\"] \n  8 -> 9 [size =\"27285504\"]\n  9 [size=\"138530133\", alpha=\"0.19\", expect_size=\"41559040\"] \n  9 -> 10 [size =\"41559040\"]\n  10 [size=\"118879573\", alpha=\"0.01\", expect_size=\"35663872\"] \n  10 -> 11 [size =\"35663872\"]\n  11 [size=\"93242027\", alpha=\"0.17\", expect_size=\"27972608\"] \n  11 -> 12 [size =\"27972608\"]\n  12 [size=\"159750827\", alpha=\"0.01\", expect_size=\"47925248\"] \n  12 -> 13 [size =\"47925248\"]\n  13 [size=\"134335147\", alpha=\"0.09\", expect_size=\"40300544\"] \n  13 -> 14 [size =\"40300544\"]\n  14 [size=\"144298667\", alpha=\"0.10\", expect_size=\"43289600\"] \n  14 -> 15 [size =\"43289600\"]\n  15 [size=\"49943893\", alpha=\"0.16\", expect_size=\"14983168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111040000\", alpha=\"0.00\", expect_size=\"44416000\"] \n  1 -> 2 [size =\"44416000\"]\n  1 -> 3 [size =\"44416000\"]\n  2 [size=\"41154560\", alpha=\"0.16\", expect_size=\"16461824\"] \n  2 -> 4 [size =\"16461824\"]\n  2 -> 5 [size =\"16461824\"]\n  3 [size=\"81446400\", alpha=\"0.16\", expect_size=\"32578560\"] \n  4 [size=\"95116800\", alpha=\"0.17\", expect_size=\"38046720\"] \n  5 [size=\"124541440\", alpha=\"0.14\", expect_size=\"49816576\"] \n  5 -> 6 [size =\"49816576\"]\n  5 -> 7 [size =\"49816576\"]\n  6 [size=\"127086080\", alpha=\"0.08\", expect_size=\"50834432\"] \n  7 [size=\"123727360\", alpha=\"0.10\", expect_size=\"49490944\"] \n  7 -> 8 [size =\"49490944\"]\n  7 -> 9 [size =\"49490944\"]\n  8 [size=\"90342400\", alpha=\"0.04\", expect_size=\"36136960\"] \n  8 -> 10 [size =\"36136960\"]\n  9 [size=\"54653440\", alpha=\"0.03\", expect_size=\"21861376\"] \n  9 -> 11 [size =\"21861376\"]\n  10 [size=\"129940480\", alpha=\"0.15\", expect_size=\"51976192\"] \n  10 -> 12 [size =\"51976192\"]\n  11 [size=\"123973120\", alpha=\"0.16\", expect_size=\"49589248\"] \n  12 [size=\"126169600\", alpha=\"0.15\", expect_size=\"50467840\"] \n  12 -> 13 [size =\"50467840\"]\n  12 -> 14 [size =\"50467840\"]\n  13 [size=\"101480960\", alpha=\"0.07\", expect_size=\"40592384\"] \n  14 [size=\"76462080\", alpha=\"0.04\", expect_size=\"30584832\"] \n  14 -> 15 [size =\"30584832\"]\n  15 [size=\"60344320\", alpha=\"0.11\", expect_size=\"24137728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64494933\", alpha=\"0.07\", expect_size=\"19348480\"] \n  1 -> 13 [size =\"19348480\"]\n  1 -> 14 [size =\"19348480\"]\n  1 -> 15 [size =\"19348480\"]\n  2 [size=\"29341013\", alpha=\"0.14\", expect_size=\"8802304\"] \n  2 -> 13 [size =\"8802304\"]\n  2 -> 14 [size =\"8802304\"]\n  2 -> 15 [size =\"8802304\"]\n  3 [size=\"104813227\", alpha=\"0.00\", expect_size=\"31443968\"] \n  3 -> 14 [size =\"31443968\"]\n  3 -> 15 [size =\"31443968\"]\n  3 -> 15 [size =\"31443968\"]\n  4 [size=\"70396587\", alpha=\"0.01\", expect_size=\"21118976\"] \n  5 [size=\"138123947\", alpha=\"0.09\", expect_size=\"41437184\"] \n  5 -> 13 [size =\"41437184\"]\n  5 -> 15 [size =\"41437184\"]\n  6 [size=\"65996800\", alpha=\"0.13\", expect_size=\"19799040\"] \n  6 -> 13 [size =\"19799040\"]\n  6 -> 14 [size =\"19799040\"]\n  6 -> 15 [size =\"19799040\"]\n  7 [size=\"95941973\", alpha=\"0.05\", expect_size=\"28782592\"] \n  8 [size=\"161416533\", alpha=\"0.17\", expect_size=\"48424960\"] \n  8 -> 13 [size =\"48424960\"]\n  8 -> 15 [size =\"48424960\"]\n  9 [size=\"65102507\", alpha=\"0.14\", expect_size=\"19530752\"] \n  9 -> 13 [size =\"19530752\"]\n  9 -> 15 [size =\"19530752\"]\n  10 [size=\"114227200\", alpha=\"0.08\", expect_size=\"34268160\"] \n  10 -> 13 [size =\"34268160\"]\n  10 -> 15 [size =\"34268160\"]\n  11 [size=\"37563733\", alpha=\"0.18\", expect_size=\"11269120\"] \n  11 -> 13 [size =\"11269120\"]\n  11 -> 14 [size =\"11269120\"]\n  12 [size=\"89600000\", alpha=\"0.19\", expect_size=\"26880000\"] \n  12 -> 14 [size =\"26880000\"]\n  12 -> 14 [size =\"26880000\"]\n  12 -> 15 [size =\"26880000\"]\n  13 [size=\"43096747\", alpha=\"0.09\", expect_size=\"12929024\"] \n  14 [size=\"46544213\", alpha=\"0.20\", expect_size=\"13963264\"] \n  15 [size=\"56726187\", alpha=\"0.20\", expect_size=\"17017856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96190464\", alpha=\"0.14\", expect_size=\"48095232\"] \n  2 [size=\"12519424\", alpha=\"0.06\", expect_size=\"6259712\"] \n  2 -> 11 [size =\"6259712\"]\n  2 -> 12 [size =\"6259712\"]\n  2 -> 14 [size =\"6259712\"]\n  3 [size=\"73840640\", alpha=\"0.11\", expect_size=\"36920320\"] \n  3 -> 11 [size =\"36920320\"]\n  3 -> 12 [size =\"36920320\"]\n  3 -> 15 [size =\"36920320\"]\n  4 [size=\"26152960\", alpha=\"0.03\", expect_size=\"13076480\"] \n  4 -> 11 [size =\"13076480\"]\n  4 -> 12 [size =\"13076480\"]\n  5 [size=\"34721792\", alpha=\"0.17\", expect_size=\"17360896\"] \n  5 -> 11 [size =\"17360896\"]\n  5 -> 12 [size =\"17360896\"]\n  6 [size=\"42989568\", alpha=\"0.10\", expect_size=\"21494784\"] \n  6 -> 11 [size =\"21494784\"]\n  6 -> 12 [size =\"21494784\"]\n  6 -> 14 [size =\"21494784\"]\n  7 [size=\"72015872\", alpha=\"0.03\", expect_size=\"36007936\"] \n  7 -> 11 [size =\"36007936\"]\n  7 -> 14 [size =\"36007936\"]\n  8 [size=\"26241024\", alpha=\"0.17\", expect_size=\"13120512\"] \n  8 -> 11 [size =\"13120512\"]\n  8 -> 14 [size =\"13120512\"]\n  9 [size=\"32497664\", alpha=\"0.08\", expect_size=\"16248832\"] \n  9 -> 11 [size =\"16248832\"]\n  9 -> 13 [size =\"16248832\"]\n  9 -> 14 [size =\"16248832\"]\n  10 [size=\"34580480\", alpha=\"0.17\", expect_size=\"17290240\"] \n  10 -> 11 [size =\"17290240\"]\n  10 -> 12 [size =\"17290240\"]\n  10 -> 14 [size =\"17290240\"]\n  11 [size=\"19544064\", alpha=\"0.09\", expect_size=\"9772032\"] \n  12 [size=\"85721088\", alpha=\"0.15\", expect_size=\"42860544\"] \n  13 [size=\"19406848\", alpha=\"0.09\", expect_size=\"9703424\"] \n  14 [size=\"70791168\", alpha=\"0.05\", expect_size=\"35395584\"] \n  15 [size=\"87103488\", alpha=\"0.04\", expect_size=\"43551744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33310720\", alpha=\"0.08\", expect_size=\"13324288\"] \n  1 -> 5 [size =\"13324288\"]\n  2 [size=\"79144960\", alpha=\"0.11\", expect_size=\"31657984\"] \n  2 -> 4 [size =\"31657984\"]\n  2 -> 5 [size =\"31657984\"]\n  3 [size=\"50007040\", alpha=\"0.06\", expect_size=\"20002816\"] \n  3 -> 4 [size =\"20002816\"]\n  4 [size=\"55984640\", alpha=\"0.11\", expect_size=\"22393856\"] \n  4 -> 6 [size =\"22393856\"]\n  4 -> 8 [size =\"22393856\"]\n  5 [size=\"67581440\", alpha=\"0.11\", expect_size=\"27032576\"] \n  5 -> 7 [size =\"27032576\"]\n  6 [size=\"42145280\", alpha=\"0.01\", expect_size=\"16858112\"] \n  6 -> 10 [size =\"16858112\"]\n  7 [size=\"101166080\", alpha=\"0.05\", expect_size=\"40466432\"] \n  7 -> 9 [size =\"40466432\"]\n  7 -> 10 [size =\"40466432\"]\n  8 [size=\"27330560\", alpha=\"0.18\", expect_size=\"10932224\"] \n  9 [size=\"88944640\", alpha=\"0.15\", expect_size=\"35577856\"] \n  9 -> 11 [size =\"35577856\"]\n  9 -> 12 [size =\"35577856\"]\n  10 [size=\"96343040\", alpha=\"0.18\", expect_size=\"38537216\"] \n  11 [size=\"24573440\", alpha=\"0.20\", expect_size=\"9829376\"] \n  12 [size=\"73131520\", alpha=\"0.02\", expect_size=\"29252608\"] \n  12 -> 13 [size =\"29252608\"]\n  12 -> 14 [size =\"29252608\"]\n  13 [size=\"18083840\", alpha=\"0.17\", expect_size=\"7233536\"] \n  14 [size=\"51161600\", alpha=\"0.09\", expect_size=\"20464640\"] \n  14 -> 15 [size =\"20464640\"]\n  15 [size=\"113466880\", alpha=\"0.16\", expect_size=\"45386752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51297280\", alpha=\"0.03\", expect_size=\"20518912\"] \n  1 -> 13 [size =\"20518912\"]\n  1 -> 14 [size =\"20518912\"]\n  2 [size=\"46325760\", alpha=\"0.13\", expect_size=\"18530304\"] \n  2 -> 12 [size =\"18530304\"]\n  2 -> 13 [size =\"18530304\"]\n  3 [size=\"84782080\", alpha=\"0.12\", expect_size=\"33912832\"] \n  3 -> 11 [size =\"33912832\"]\n  3 -> 15 [size =\"33912832\"]\n  4 [size=\"125434880\", alpha=\"0.12\", expect_size=\"50173952\"] \n  4 -> 11 [size =\"50173952\"]\n  4 -> 14 [size =\"50173952\"]\n  5 [size=\"34229760\", alpha=\"0.16\", expect_size=\"13691904\"] \n  5 -> 13 [size =\"13691904\"]\n  6 [size=\"124705280\", alpha=\"0.16\", expect_size=\"49882112\"] \n  7 [size=\"97574400\", alpha=\"0.05\", expect_size=\"39029760\"] \n  7 -> 11 [size =\"39029760\"]\n  7 -> 14 [size =\"39029760\"]\n  8 [size=\"86031360\", alpha=\"0.13\", expect_size=\"34412544\"] \n  8 -> 10 [size =\"34412544\"]\n  8 -> 11 [size =\"34412544\"]\n  8 -> 14 [size =\"34412544\"]\n  9 [size=\"118115840\", alpha=\"0.12\", expect_size=\"47246336\"] \n  9 -> 10 [size =\"47246336\"]\n  9 -> 13 [size =\"47246336\"]\n  9 -> 14 [size =\"47246336\"]\n  10 [size=\"100467200\", alpha=\"0.18\", expect_size=\"40186880\"] \n  11 [size=\"58004480\", alpha=\"0.11\", expect_size=\"23201792\"] \n  12 [size=\"77719040\", alpha=\"0.15\", expect_size=\"31087616\"] \n  13 [size=\"36403200\", alpha=\"0.02\", expect_size=\"14561280\"] \n  14 [size=\"108454400\", alpha=\"0.03\", expect_size=\"43381760\"] \n  15 [size=\"58391040\", alpha=\"0.05\", expect_size=\"23356416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143926613\", alpha=\"0.04\", expect_size=\"43177984\"] \n  1 -> 9 [size =\"43177984\"]\n  2 [size=\"83442347\", alpha=\"0.04\", expect_size=\"25032704\"] \n  2 -> 9 [size =\"25032704\"]\n  3 [size=\"18298880\", alpha=\"0.15\", expect_size=\"5489664\"] \n  3 -> 11 [size =\"5489664\"]\n  4 [size=\"71546880\", alpha=\"0.03\", expect_size=\"21464064\"] \n  4 -> 7 [size =\"21464064\"]\n  4 -> 9 [size =\"21464064\"]\n  4 -> 10 [size =\"21464064\"]\n  4 -> 11 [size =\"21464064\"]\n  5 [size=\"96058027\", alpha=\"0.19\", expect_size=\"28817408\"] \n  5 -> 7 [size =\"28817408\"]\n  5 -> 8 [size =\"28817408\"]\n  5 -> 11 [size =\"28817408\"]\n  6 [size=\"77786453\", alpha=\"0.17\", expect_size=\"23335936\"] \n  6 -> 7 [size =\"23335936\"]\n  6 -> 8 [size =\"23335936\"]\n  7 [size=\"46458880\", alpha=\"0.07\", expect_size=\"13937664\"] \n  7 -> 14 [size =\"13937664\"]\n  8 [size=\"120883200\", alpha=\"0.06\", expect_size=\"36264960\"] \n  8 -> 15 [size =\"36264960\"]\n  9 [size=\"40639147\", alpha=\"0.17\", expect_size=\"12191744\"] \n  9 -> 13 [size =\"12191744\"]\n  9 -> 15 [size =\"12191744\"]\n  10 [size=\"56190293\", alpha=\"0.07\", expect_size=\"16857088\"] \n  10 -> 12 [size =\"16857088\"]\n  10 -> 15 [size =\"16857088\"]\n  11 [size=\"123436373\", alpha=\"0.17\", expect_size=\"37030912\"] \n  11 -> 14 [size =\"37030912\"]\n  12 [size=\"158269440\", alpha=\"0.12\", expect_size=\"47480832\"] \n  13 [size=\"35027627\", alpha=\"0.05\", expect_size=\"10508288\"] \n  14 [size=\"156692480\", alpha=\"0.08\", expect_size=\"47007744\"] \n  15 [size=\"24477013\", alpha=\"0.11\", expect_size=\"7343104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80392192\", alpha=\"0.17\", expect_size=\"40196096\"] \n  1 -> 3 [size =\"40196096\"]\n  2 [size=\"101617664\", alpha=\"0.09\", expect_size=\"50808832\"] \n  2 -> 3 [size =\"50808832\"]\n  3 [size=\"66328576\", alpha=\"0.02\", expect_size=\"33164288\"] \n  3 -> 4 [size =\"33164288\"]\n  4 [size=\"36284416\", alpha=\"0.16\", expect_size=\"18142208\"] \n  4 -> 5 [size =\"18142208\"]\n  5 [size=\"13211648\", alpha=\"0.08\", expect_size=\"6605824\"] \n  5 -> 6 [size =\"6605824\"]\n  5 -> 7 [size =\"6605824\"]\n  6 [size=\"23111680\", alpha=\"0.04\", expect_size=\"11555840\"] \n  7 [size=\"74067968\", alpha=\"0.14\", expect_size=\"37033984\"] \n  7 -> 8 [size =\"37033984\"]\n  8 [size=\"85542912\", alpha=\"0.00\", expect_size=\"42771456\"] \n  8 -> 9 [size =\"42771456\"]\n  9 [size=\"56446976\", alpha=\"0.02\", expect_size=\"28223488\"] \n  9 -> 10 [size =\"28223488\"]\n  9 -> 11 [size =\"28223488\"]\n  10 [size=\"17584128\", alpha=\"0.00\", expect_size=\"8792064\"] \n  10 -> 12 [size =\"8792064\"]\n  11 [size=\"25417728\", alpha=\"0.13\", expect_size=\"12708864\"] \n  12 [size=\"11608064\", alpha=\"0.02\", expect_size=\"5804032\"] \n  12 -> 13 [size =\"5804032\"]\n  12 -> 14 [size =\"5804032\"]\n  13 [size=\"55117824\", alpha=\"0.04\", expect_size=\"27558912\"] \n  13 -> 15 [size =\"27558912\"]\n  14 [size=\"63305728\", alpha=\"0.16\", expect_size=\"31652864\"] \n  14 -> 15 [size =\"31652864\"]\n  15 [size=\"43337728\", alpha=\"0.10\", expect_size=\"21668864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83896320\", alpha=\"0.16\", expect_size=\"33558528\"] \n  1 -> 2 [size =\"33558528\"]\n  1 -> 3 [size =\"33558528\"]\n  2 [size=\"30302720\", alpha=\"0.00\", expect_size=\"12121088\"] \n  3 [size=\"13504000\", alpha=\"0.08\", expect_size=\"5401600\"] \n  3 -> 4 [size =\"5401600\"]\n  4 [size=\"72755200\", alpha=\"0.01\", expect_size=\"29102080\"] \n  4 -> 5 [size =\"29102080\"]\n  4 -> 6 [size =\"29102080\"]\n  5 [size=\"84200960\", alpha=\"0.01\", expect_size=\"33680384\"] \n  5 -> 7 [size =\"33680384\"]\n  6 [size=\"40117760\", alpha=\"0.19\", expect_size=\"16047104\"] \n  7 [size=\"130516480\", alpha=\"0.04\", expect_size=\"52206592\"] \n  7 -> 8 [size =\"52206592\"]\n  8 [size=\"105960960\", alpha=\"0.03\", expect_size=\"42384384\"] \n  8 -> 9 [size =\"42384384\"]\n  8 -> 10 [size =\"42384384\"]\n  9 [size=\"35484160\", alpha=\"0.16\", expect_size=\"14193664\"] \n  9 -> 12 [size =\"14193664\"]\n  10 [size=\"15308800\", alpha=\"0.19\", expect_size=\"6123520\"] \n  10 -> 11 [size =\"6123520\"]\n  11 [size=\"32719360\", alpha=\"0.02\", expect_size=\"13087744\"] \n  11 -> 13 [size =\"13087744\"]\n  12 [size=\"124894720\", alpha=\"0.11\", expect_size=\"49957888\"] \n  13 [size=\"124971520\", alpha=\"0.06\", expect_size=\"49988608\"] \n  13 -> 14 [size =\"49988608\"]\n  14 [size=\"56688640\", alpha=\"0.12\", expect_size=\"22675456\"] \n  14 -> 15 [size =\"22675456\"]\n  15 [size=\"65472000\", alpha=\"0.04\", expect_size=\"26188800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71370752\", alpha=\"0.06\", expect_size=\"35685376\"] \n  1 -> 11 [size =\"35685376\"]\n  1 -> 12 [size =\"35685376\"]\n  2 [size=\"21159936\", alpha=\"0.19\", expect_size=\"10579968\"] \n  2 -> 12 [size =\"10579968\"]\n  2 -> 12 [size =\"10579968\"]\n  2 -> 15 [size =\"10579968\"]\n  3 [size=\"99983360\", alpha=\"0.04\", expect_size=\"49991680\"] \n  3 -> 11 [size =\"49991680\"]\n  3 -> 12 [size =\"49991680\"]\n  3 -> 13 [size =\"49991680\"]\n  3 -> 14 [size =\"49991680\"]\n  4 [size=\"51339264\", alpha=\"0.08\", expect_size=\"25669632\"] \n  4 -> 14 [size =\"25669632\"]\n  5 [size=\"23674880\", alpha=\"0.08\", expect_size=\"11837440\"] \n  5 -> 12 [size =\"11837440\"]\n  5 -> 14 [size =\"11837440\"]\n  5 -> 15 [size =\"11837440\"]\n  6 [size=\"14714880\", alpha=\"0.05\", expect_size=\"7357440\"] \n  6 -> 14 [size =\"7357440\"]\n  7 [size=\"26136576\", alpha=\"0.10\", expect_size=\"13068288\"] \n  7 -> 11 [size =\"13068288\"]\n  7 -> 15 [size =\"13068288\"]\n  8 [size=\"44789760\", alpha=\"0.01\", expect_size=\"22394880\"] \n  8 -> 14 [size =\"22394880\"]\n  9 [size=\"26605568\", alpha=\"0.13\", expect_size=\"13302784\"] \n  9 -> 11 [size =\"13302784\"]\n  9 -> 12 [size =\"13302784\"]\n  9 -> 13 [size =\"13302784\"]\n  9 -> 14 [size =\"13302784\"]\n  9 -> 15 [size =\"13302784\"]\n  10 [size=\"24616960\", alpha=\"0.03\", expect_size=\"12308480\"] \n  10 -> 13 [size =\"12308480\"]\n  10 -> 15 [size =\"12308480\"]\n  11 [size=\"36257792\", alpha=\"0.05\", expect_size=\"18128896\"] \n  12 [size=\"62404608\", alpha=\"0.12\", expect_size=\"31202304\"] \n  13 [size=\"55492608\", alpha=\"0.19\", expect_size=\"27746304\"] \n  14 [size=\"72085504\", alpha=\"0.08\", expect_size=\"36042752\"] \n  15 [size=\"15095808\", alpha=\"0.05\", expect_size=\"7547904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98942293\", alpha=\"0.05\", expect_size=\"29682688\"] \n  1 -> 3 [size =\"29682688\"]\n  2 [size=\"57914027\", alpha=\"0.12\", expect_size=\"17374208\"] \n  2 -> 4 [size =\"17374208\"]\n  3 [size=\"137601707\", alpha=\"0.11\", expect_size=\"41280512\"] \n  4 [size=\"25384960\", alpha=\"0.16\", expect_size=\"7615488\"] \n  4 -> 5 [size =\"7615488\"]\n  5 [size=\"99024213\", alpha=\"0.02\", expect_size=\"29707264\"] \n  5 -> 6 [size =\"29707264\"]\n  5 -> 7 [size =\"29707264\"]\n  6 [size=\"24596480\", alpha=\"0.01\", expect_size=\"7378944\"] \n  6 -> 8 [size =\"7378944\"]\n  6 -> 9 [size =\"7378944\"]\n  7 [size=\"148340053\", alpha=\"0.15\", expect_size=\"44502016\"] \n  7 -> 8 [size =\"44502016\"]\n  8 [size=\"89142613\", alpha=\"0.14\", expect_size=\"26742784\"] \n  8 -> 11 [size =\"26742784\"]\n  9 [size=\"127692800\", alpha=\"0.07\", expect_size=\"38307840\"] \n  9 -> 10 [size =\"38307840\"]\n  9 -> 11 [size =\"38307840\"]\n  10 [size=\"56644267\", alpha=\"0.07\", expect_size=\"16993280\"] \n  10 -> 12 [size =\"16993280\"]\n  11 [size=\"143407787\", alpha=\"0.11\", expect_size=\"43022336\"] \n  12 [size=\"25057280\", alpha=\"0.01\", expect_size=\"7517184\"] \n  12 -> 13 [size =\"7517184\"]\n  13 [size=\"121340587\", alpha=\"0.05\", expect_size=\"36402176\"] \n  13 -> 14 [size =\"36402176\"]\n  13 -> 15 [size =\"36402176\"]\n  14 [size=\"52237653\", alpha=\"0.07\", expect_size=\"15671296\"] \n  15 [size=\"20107947\", alpha=\"0.05\", expect_size=\"6032384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34984960\", alpha=\"0.12\", expect_size=\"13993984\"] \n  1 -> 2 [size =\"13993984\"]\n  2 [size=\"65003520\", alpha=\"0.19\", expect_size=\"26001408\"] \n  2 -> 3 [size =\"26001408\"]\n  3 [size=\"87546880\", alpha=\"0.07\", expect_size=\"35018752\"] \n  3 -> 4 [size =\"35018752\"]\n  4 [size=\"14246400\", alpha=\"0.20\", expect_size=\"5698560\"] \n  4 -> 5 [size =\"5698560\"]\n  5 [size=\"40181760\", alpha=\"0.08\", expect_size=\"16072704\"] \n  5 -> 6 [size =\"16072704\"]\n  6 [size=\"95175680\", alpha=\"0.13\", expect_size=\"38070272\"] \n  6 -> 7 [size =\"38070272\"]\n  7 [size=\"18757120\", alpha=\"0.03\", expect_size=\"7502848\"] \n  7 -> 8 [size =\"7502848\"]\n  8 [size=\"17822720\", alpha=\"0.16\", expect_size=\"7129088\"] \n  8 -> 9 [size =\"7129088\"]\n  9 [size=\"96289280\", alpha=\"0.10\", expect_size=\"38515712\"] \n  9 -> 10 [size =\"38515712\"]\n  10 [size=\"46080000\", alpha=\"0.12\", expect_size=\"18432000\"] \n  10 -> 11 [size =\"18432000\"]\n  11 [size=\"57753600\", alpha=\"0.04\", expect_size=\"23101440\"] \n  11 -> 12 [size =\"23101440\"]\n  12 [size=\"127749120\", alpha=\"0.02\", expect_size=\"51099648\"] \n  12 -> 13 [size =\"51099648\"]\n  13 [size=\"121300480\", alpha=\"0.18\", expect_size=\"48520192\"] \n  13 -> 14 [size =\"48520192\"]\n  14 [size=\"43015680\", alpha=\"0.17\", expect_size=\"17206272\"] \n  14 -> 15 [size =\"17206272\"]\n  15 [size=\"42590720\", alpha=\"0.18\", expect_size=\"17036288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14461440\", alpha=\"0.09\", expect_size=\"5784576\"] \n  1 -> 8 [size =\"5784576\"]\n  1 -> 10 [size =\"5784576\"]\n  1 -> 11 [size =\"5784576\"]\n  2 [size=\"76500480\", alpha=\"0.16\", expect_size=\"30600192\"] \n  2 -> 10 [size =\"30600192\"]\n  3 [size=\"114718720\", alpha=\"0.08\", expect_size=\"45887488\"] \n  3 -> 7 [size =\"45887488\"]\n  3 -> 9 [size =\"45887488\"]\n  3 -> 12 [size =\"45887488\"]\n  4 [size=\"56558080\", alpha=\"0.02\", expect_size=\"22623232\"] \n  4 -> 9 [size =\"22623232\"]\n  5 [size=\"85061120\", alpha=\"0.03\", expect_size=\"34024448\"] \n  5 -> 8 [size =\"34024448\"]\n  5 -> 11 [size =\"34024448\"]\n  6 [size=\"52405760\", alpha=\"0.02\", expect_size=\"20962304\"] \n  6 -> 8 [size =\"20962304\"]\n  6 -> 10 [size =\"20962304\"]\n  7 [size=\"42385920\", alpha=\"0.02\", expect_size=\"16954368\"] \n  7 -> 14 [size =\"16954368\"]\n  8 [size=\"69729280\", alpha=\"0.09\", expect_size=\"27891712\"] \n  9 [size=\"87982080\", alpha=\"0.11\", expect_size=\"35192832\"] \n  9 -> 14 [size =\"35192832\"]\n  9 -> 15 [size =\"35192832\"]\n  10 [size=\"124677120\", alpha=\"0.03\", expect_size=\"49870848\"] \n  10 -> 13 [size =\"49870848\"]\n  10 -> 14 [size =\"49870848\"]\n  11 [size=\"61230080\", alpha=\"0.01\", expect_size=\"24492032\"] \n  11 -> 13 [size =\"24492032\"]\n  11 -> 14 [size =\"24492032\"]\n  11 -> 15 [size =\"24492032\"]\n  12 [size=\"113077760\", alpha=\"0.05\", expect_size=\"45231104\"] \n  12 -> 15 [size =\"45231104\"]\n  13 [size=\"87516160\", alpha=\"0.19\", expect_size=\"35006464\"] \n  14 [size=\"17548800\", alpha=\"0.14\", expect_size=\"7019520\"] \n  15 [size=\"28490240\", alpha=\"0.13\", expect_size=\"11396096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84905984\", alpha=\"0.01\", expect_size=\"42452992\"] \n  1 -> 4 [size =\"42452992\"]\n  2 [size=\"34404352\", alpha=\"0.13\", expect_size=\"17202176\"] \n  2 -> 3 [size =\"17202176\"]\n  2 -> 4 [size =\"17202176\"]\n  3 [size=\"87162880\", alpha=\"0.11\", expect_size=\"43581440\"] \n  3 -> 5 [size =\"43581440\"]\n  3 -> 6 [size =\"43581440\"]\n  4 [size=\"41883648\", alpha=\"0.14\", expect_size=\"20941824\"] \n  4 -> 5 [size =\"20941824\"]\n  4 -> 6 [size =\"20941824\"]\n  4 -> 7 [size =\"20941824\"]\n  5 [size=\"16023552\", alpha=\"0.17\", expect_size=\"8011776\"] \n  5 -> 9 [size =\"8011776\"]\n  6 [size=\"69500928\", alpha=\"0.09\", expect_size=\"34750464\"] \n  6 -> 9 [size =\"34750464\"]\n  7 [size=\"46669824\", alpha=\"0.10\", expect_size=\"23334912\"] \n  7 -> 8 [size =\"23334912\"]\n  7 -> 9 [size =\"23334912\"]\n  8 [size=\"49534976\", alpha=\"0.13\", expect_size=\"24767488\"] \n  8 -> 10 [size =\"24767488\"]\n  8 -> 11 [size =\"24767488\"]\n  9 [size=\"81338368\", alpha=\"0.05\", expect_size=\"40669184\"] \n  9 -> 10 [size =\"40669184\"]\n  9 -> 11 [size =\"40669184\"]\n  10 [size=\"95614976\", alpha=\"0.12\", expect_size=\"47807488\"] \n  10 -> 12 [size =\"47807488\"]\n  10 -> 13 [size =\"47807488\"]\n  11 [size=\"72859648\", alpha=\"0.00\", expect_size=\"36429824\"] \n  11 -> 12 [size =\"36429824\"]\n  11 -> 13 [size =\"36429824\"]\n  12 [size=\"75687936\", alpha=\"0.05\", expect_size=\"37843968\"] \n  12 -> 14 [size =\"37843968\"]\n  13 [size=\"44544000\", alpha=\"0.06\", expect_size=\"22272000\"] \n  13 -> 14 [size =\"22272000\"]\n  13 -> 15 [size =\"22272000\"]\n  14 [size=\"94367744\", alpha=\"0.09\", expect_size=\"47183872\"] \n  15 [size=\"67751936\", alpha=\"0.14\", expect_size=\"33875968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93216768\", alpha=\"0.14\", expect_size=\"46608384\"] \n  1 -> 3 [size =\"46608384\"]\n  1 -> 4 [size =\"46608384\"]\n  1 -> 5 [size =\"46608384\"]\n  2 [size=\"83165184\", alpha=\"0.19\", expect_size=\"41582592\"] \n  2 -> 3 [size =\"41582592\"]\n  2 -> 4 [size =\"41582592\"]\n  2 -> 5 [size =\"41582592\"]\n  3 [size=\"49512448\", alpha=\"0.09\", expect_size=\"24756224\"] \n  3 -> 7 [size =\"24756224\"]\n  4 [size=\"75900928\", alpha=\"0.12\", expect_size=\"37950464\"] \n  4 -> 6 [size =\"37950464\"]\n  4 -> 7 [size =\"37950464\"]\n  5 [size=\"93474816\", alpha=\"0.19\", expect_size=\"46737408\"] \n  5 -> 6 [size =\"46737408\"]\n  5 -> 7 [size =\"46737408\"]\n  6 [size=\"13109248\", alpha=\"0.18\", expect_size=\"6554624\"] \n  6 -> 8 [size =\"6554624\"]\n  6 -> 9 [size =\"6554624\"]\n  7 [size=\"89632768\", alpha=\"0.18\", expect_size=\"44816384\"] \n  7 -> 8 [size =\"44816384\"]\n  7 -> 9 [size =\"44816384\"]\n  8 [size=\"19480576\", alpha=\"0.08\", expect_size=\"9740288\"] \n  8 -> 10 [size =\"9740288\"]\n  8 -> 11 [size =\"9740288\"]\n  9 [size=\"24537088\", alpha=\"0.12\", expect_size=\"12268544\"] \n  9 -> 10 [size =\"12268544\"]\n  9 -> 11 [size =\"12268544\"]\n  10 [size=\"52035584\", alpha=\"0.08\", expect_size=\"26017792\"] \n  10 -> 12 [size =\"26017792\"]\n  10 -> 13 [size =\"26017792\"]\n  11 [size=\"50229248\", alpha=\"0.08\", expect_size=\"25114624\"] \n  11 -> 12 [size =\"25114624\"]\n  11 -> 13 [size =\"25114624\"]\n  11 -> 14 [size =\"25114624\"]\n  12 [size=\"21852160\", alpha=\"0.19\", expect_size=\"10926080\"] \n  12 -> 15 [size =\"10926080\"]\n  13 [size=\"19269632\", alpha=\"0.10\", expect_size=\"9634816\"] \n  13 -> 15 [size =\"9634816\"]\n  14 [size=\"61485056\", alpha=\"0.04\", expect_size=\"30742528\"] \n  15 [size=\"24170496\", alpha=\"0.12\", expect_size=\"12085248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113126400\", alpha=\"0.02\", expect_size=\"45250560\"] \n  1 -> 10 [size =\"45250560\"]\n  2 [size=\"56017920\", alpha=\"0.19\", expect_size=\"22407168\"] \n  2 -> 8 [size =\"22407168\"]\n  3 [size=\"115778560\", alpha=\"0.07\", expect_size=\"46311424\"] \n  3 -> 9 [size =\"46311424\"]\n  4 [size=\"92797440\", alpha=\"0.10\", expect_size=\"37118976\"] \n  5 [size=\"26708480\", alpha=\"0.16\", expect_size=\"10683392\"] \n  5 -> 9 [size =\"10683392\"]\n  6 [size=\"88570880\", alpha=\"0.09\", expect_size=\"35428352\"] \n  7 [size=\"117455360\", alpha=\"0.00\", expect_size=\"46982144\"] \n  7 -> 8 [size =\"46982144\"]\n  7 -> 11 [size =\"46982144\"]\n  8 [size=\"38781440\", alpha=\"0.08\", expect_size=\"15512576\"] \n  8 -> 15 [size =\"15512576\"]\n  9 [size=\"126259200\", alpha=\"0.05\", expect_size=\"50503680\"] \n  9 -> 14 [size =\"50503680\"]\n  10 [size=\"108817920\", alpha=\"0.07\", expect_size=\"43527168\"] \n  10 -> 14 [size =\"43527168\"]\n  11 [size=\"119096320\", alpha=\"0.18\", expect_size=\"47638528\"] \n  11 -> 12 [size =\"47638528\"]\n  11 -> 13 [size =\"47638528\"]\n  11 -> 14 [size =\"47638528\"]\n  12 [size=\"128663040\", alpha=\"0.03\", expect_size=\"51465216\"] \n  13 [size=\"121474560\", alpha=\"0.20\", expect_size=\"48589824\"] \n  14 [size=\"43310080\", alpha=\"0.16\", expect_size=\"17324032\"] \n  15 [size=\"99601920\", alpha=\"0.19\", expect_size=\"39840768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76193792\", alpha=\"0.09\", expect_size=\"38096896\"] \n  2 [size=\"13082624\", alpha=\"0.17\", expect_size=\"6541312\"] \n  3 [size=\"62951424\", alpha=\"0.17\", expect_size=\"31475712\"] \n  3 -> 13 [size =\"31475712\"]\n  3 -> 14 [size =\"31475712\"]\n  4 [size=\"26382336\", alpha=\"0.19\", expect_size=\"13191168\"] \n  4 -> 14 [size =\"13191168\"]\n  4 -> 15 [size =\"13191168\"]\n  5 [size=\"101959680\", alpha=\"0.00\", expect_size=\"50979840\"] \n  5 -> 13 [size =\"50979840\"]\n  6 [size=\"88571904\", alpha=\"0.20\", expect_size=\"44285952\"] \n  6 -> 13 [size =\"44285952\"]\n  7 [size=\"20879360\", alpha=\"0.11\", expect_size=\"10439680\"] \n  7 -> 13 [size =\"10439680\"]\n  7 -> 14 [size =\"10439680\"]\n  8 [size=\"37163008\", alpha=\"0.13\", expect_size=\"18581504\"] \n  9 [size=\"91889664\", alpha=\"0.10\", expect_size=\"45944832\"] \n  10 [size=\"50360320\", alpha=\"0.03\", expect_size=\"25180160\"] \n  10 -> 13 [size =\"25180160\"]\n  11 [size=\"39436288\", alpha=\"0.13\", expect_size=\"19718144\"] \n  12 [size=\"82552832\", alpha=\"0.05\", expect_size=\"41276416\"] \n  13 [size=\"66162688\", alpha=\"0.16\", expect_size=\"33081344\"] \n  14 [size=\"53331968\", alpha=\"0.15\", expect_size=\"26665984\"] \n  15 [size=\"46747648\", alpha=\"0.06\", expect_size=\"23373824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19162453\", alpha=\"0.11\", expect_size=\"5748736\"] \n  1 -> 13 [size =\"5748736\"]\n  2 [size=\"72639147\", alpha=\"0.02\", expect_size=\"21791744\"] \n  2 -> 15 [size =\"21791744\"]\n  3 [size=\"156958720\", alpha=\"0.18\", expect_size=\"47087616\"] \n  3 -> 11 [size =\"47087616\"]\n  3 -> 12 [size =\"47087616\"]\n  3 -> 15 [size =\"47087616\"]\n  4 [size=\"39079253\", alpha=\"0.15\", expect_size=\"11723776\"] \n  4 -> 12 [size =\"11723776\"]\n  4 -> 14 [size =\"11723776\"]\n  4 -> 15 [size =\"11723776\"]\n  5 [size=\"161549653\", alpha=\"0.12\", expect_size=\"48464896\"] \n  5 -> 12 [size =\"48464896\"]\n  6 [size=\"81892693\", alpha=\"0.09\", expect_size=\"24567808\"] \n  6 -> 11 [size =\"24567808\"]\n  6 -> 12 [size =\"24567808\"]\n  7 [size=\"23801173\", alpha=\"0.15\", expect_size=\"7140352\"] \n  7 -> 11 [size =\"7140352\"]\n  8 [size=\"18199893\", alpha=\"0.10\", expect_size=\"5459968\"] \n  8 -> 15 [size =\"5459968\"]\n  9 [size=\"114292053\", alpha=\"0.01\", expect_size=\"34287616\"] \n  9 -> 12 [size =\"34287616\"]\n  9 -> 13 [size =\"34287616\"]\n  10 [size=\"64501760\", alpha=\"0.07\", expect_size=\"19350528\"] \n  10 -> 13 [size =\"19350528\"]\n  11 [size=\"42731520\", alpha=\"0.05\", expect_size=\"12819456\"] \n  12 [size=\"130778453\", alpha=\"0.00\", expect_size=\"39233536\"] \n  13 [size=\"145732267\", alpha=\"0.11\", expect_size=\"43719680\"] \n  14 [size=\"133034667\", alpha=\"0.19\", expect_size=\"39910400\"] \n  15 [size=\"92002987\", alpha=\"0.15\", expect_size=\"27600896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113930240\", alpha=\"0.12\", expect_size=\"45572096\"] \n  1 -> 2 [size =\"45572096\"]\n  2 [size=\"76193280\", alpha=\"0.18\", expect_size=\"30477312\"] \n  2 -> 3 [size =\"30477312\"]\n  3 [size=\"37757440\", alpha=\"0.15\", expect_size=\"15102976\"] \n  3 -> 4 [size =\"15102976\"]\n  4 [size=\"90240000\", alpha=\"0.11\", expect_size=\"36096000\"] \n  4 -> 5 [size =\"36096000\"]\n  5 [size=\"89625600\", alpha=\"0.06\", expect_size=\"35850240\"] \n  5 -> 6 [size =\"35850240\"]\n  6 [size=\"80609280\", alpha=\"0.05\", expect_size=\"32243712\"] \n  6 -> 7 [size =\"32243712\"]\n  7 [size=\"93212160\", alpha=\"0.16\", expect_size=\"37284864\"] \n  7 -> 8 [size =\"37284864\"]\n  8 [size=\"76687360\", alpha=\"0.20\", expect_size=\"30674944\"] \n  8 -> 9 [size =\"30674944\"]\n  9 [size=\"68759040\", alpha=\"0.02\", expect_size=\"27503616\"] \n  9 -> 10 [size =\"27503616\"]\n  10 [size=\"17684480\", alpha=\"0.01\", expect_size=\"7073792\"] \n  10 -> 11 [size =\"7073792\"]\n  11 [size=\"129932800\", alpha=\"0.18\", expect_size=\"51973120\"] \n  11 -> 12 [size =\"51973120\"]\n  12 [size=\"85475840\", alpha=\"0.06\", expect_size=\"34190336\"] \n  12 -> 13 [size =\"34190336\"]\n  13 [size=\"76175360\", alpha=\"0.00\", expect_size=\"30470144\"] \n  13 -> 14 [size =\"30470144\"]\n  14 [size=\"49571840\", alpha=\"0.17\", expect_size=\"19828736\"] \n  14 -> 15 [size =\"19828736\"]\n  15 [size=\"115284480\", alpha=\"0.04\", expect_size=\"46113792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74856448\", alpha=\"0.14\", expect_size=\"37428224\"] \n  1 -> 2 [size =\"37428224\"]\n  1 -> 3 [size =\"37428224\"]\n  2 [size=\"51513344\", alpha=\"0.04\", expect_size=\"25756672\"] \n  2 -> 4 [size =\"25756672\"]\n  3 [size=\"89634816\", alpha=\"0.04\", expect_size=\"44817408\"] \n  3 -> 4 [size =\"44817408\"]\n  4 [size=\"53358592\", alpha=\"0.01\", expect_size=\"26679296\"] \n  4 -> 5 [size =\"26679296\"]\n  4 -> 6 [size =\"26679296\"]\n  4 -> 7 [size =\"26679296\"]\n  5 [size=\"37246976\", alpha=\"0.09\", expect_size=\"18623488\"] \n  5 -> 8 [size =\"18623488\"]\n  5 -> 9 [size =\"18623488\"]\n  6 [size=\"26353664\", alpha=\"0.10\", expect_size=\"13176832\"] \n  6 -> 8 [size =\"13176832\"]\n  6 -> 9 [size =\"13176832\"]\n  6 -> 10 [size =\"13176832\"]\n  6 -> 11 [size =\"13176832\"]\n  7 [size=\"100530176\", alpha=\"0.18\", expect_size=\"50265088\"] \n  7 -> 8 [size =\"50265088\"]\n  7 -> 11 [size =\"50265088\"]\n  8 [size=\"33751040\", alpha=\"0.19\", expect_size=\"16875520\"] \n  8 -> 13 [size =\"16875520\"]\n  8 -> 14 [size =\"16875520\"]\n  9 [size=\"33855488\", alpha=\"0.02\", expect_size=\"16927744\"] \n  9 -> 12 [size =\"16927744\"]\n  9 -> 13 [size =\"16927744\"]\n  9 -> 14 [size =\"16927744\"]\n  10 [size=\"85694464\", alpha=\"0.18\", expect_size=\"42847232\"] \n  10 -> 12 [size =\"42847232\"]\n  11 [size=\"83269632\", alpha=\"0.07\", expect_size=\"41634816\"] \n  11 -> 14 [size =\"41634816\"]\n  12 [size=\"56604672\", alpha=\"0.07\", expect_size=\"28302336\"] \n  12 -> 15 [size =\"28302336\"]\n  13 [size=\"74442752\", alpha=\"0.14\", expect_size=\"37221376\"] \n  14 [size=\"94459904\", alpha=\"0.13\", expect_size=\"47229952\"] \n  14 -> 15 [size =\"47229952\"]\n  15 [size=\"101332992\", alpha=\"0.07\", expect_size=\"50666496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56991744\", alpha=\"0.08\", expect_size=\"28495872\"] \n  1 -> 2 [size =\"28495872\"]\n  2 [size=\"23015424\", alpha=\"0.19\", expect_size=\"11507712\"] \n  2 -> 3 [size =\"11507712\"]\n  3 [size=\"53995520\", alpha=\"0.17\", expect_size=\"26997760\"] \n  3 -> 4 [size =\"26997760\"]\n  3 -> 5 [size =\"26997760\"]\n  4 [size=\"14166016\", alpha=\"0.10\", expect_size=\"7083008\"] \n  4 -> 6 [size =\"7083008\"]\n  5 [size=\"55547904\", alpha=\"0.19\", expect_size=\"27773952\"] \n  5 -> 6 [size =\"27773952\"]\n  6 [size=\"39841792\", alpha=\"0.11\", expect_size=\"19920896\"] \n  6 -> 7 [size =\"19920896\"]\n  6 -> 8 [size =\"19920896\"]\n  7 [size=\"30382080\", alpha=\"0.11\", expect_size=\"15191040\"] \n  7 -> 9 [size =\"15191040\"]\n  8 [size=\"51165184\", alpha=\"0.17\", expect_size=\"25582592\"] \n  9 [size=\"25944064\", alpha=\"0.13\", expect_size=\"12972032\"] \n  9 -> 10 [size =\"12972032\"]\n  9 -> 11 [size =\"12972032\"]\n  10 [size=\"36073472\", alpha=\"0.02\", expect_size=\"18036736\"] \n  10 -> 12 [size =\"18036736\"]\n  11 [size=\"15622144\", alpha=\"0.11\", expect_size=\"7811072\"] \n  12 [size=\"51537920\", alpha=\"0.07\", expect_size=\"25768960\"] \n  12 -> 13 [size =\"25768960\"]\n  13 [size=\"48195584\", alpha=\"0.09\", expect_size=\"24097792\"] \n  13 -> 14 [size =\"24097792\"]\n  14 [size=\"31901696\", alpha=\"0.11\", expect_size=\"15950848\"] \n  14 -> 15 [size =\"15950848\"]\n  15 [size=\"77815808\", alpha=\"0.19\", expect_size=\"38907904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15947776\", alpha=\"0.10\", expect_size=\"7973888\"] \n  1 -> 2 [size =\"7973888\"]\n  2 [size=\"91150336\", alpha=\"0.10\", expect_size=\"45575168\"] \n  2 -> 3 [size =\"45575168\"]\n  3 [size=\"72431616\", alpha=\"0.15\", expect_size=\"36215808\"] \n  3 -> 4 [size =\"36215808\"]\n  4 [size=\"99915776\", alpha=\"0.18\", expect_size=\"49957888\"] \n  4 -> 5 [size =\"49957888\"]\n  5 [size=\"77991936\", alpha=\"0.04\", expect_size=\"38995968\"] \n  5 -> 6 [size =\"38995968\"]\n  6 [size=\"100974592\", alpha=\"0.11\", expect_size=\"50487296\"] \n  6 -> 7 [size =\"50487296\"]\n  7 [size=\"84801536\", alpha=\"0.04\", expect_size=\"42400768\"] \n  7 -> 8 [size =\"42400768\"]\n  8 [size=\"101605376\", alpha=\"0.01\", expect_size=\"50802688\"] \n  8 -> 9 [size =\"50802688\"]\n  9 [size=\"28237824\", alpha=\"0.01\", expect_size=\"14118912\"] \n  9 -> 10 [size =\"14118912\"]\n  10 [size=\"38813696\", alpha=\"0.12\", expect_size=\"19406848\"] \n  10 -> 11 [size =\"19406848\"]\n  11 [size=\"73687040\", alpha=\"0.06\", expect_size=\"36843520\"] \n  11 -> 12 [size =\"36843520\"]\n  12 [size=\"26476544\", alpha=\"0.14\", expect_size=\"13238272\"] \n  12 -> 13 [size =\"13238272\"]\n  13 [size=\"71747584\", alpha=\"0.04\", expect_size=\"35873792\"] \n  13 -> 14 [size =\"35873792\"]\n  14 [size=\"46977024\", alpha=\"0.02\", expect_size=\"23488512\"] \n  14 -> 15 [size =\"23488512\"]\n  15 [size=\"35772416\", alpha=\"0.15\", expect_size=\"17886208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130234880\", alpha=\"0.02\", expect_size=\"52093952\"] \n  1 -> 3 [size =\"52093952\"]\n  2 [size=\"89902080\", alpha=\"0.09\", expect_size=\"35960832\"] \n  3 [size=\"18531840\", alpha=\"0.15\", expect_size=\"7412736\"] \n  3 -> 4 [size =\"7412736\"]\n  4 [size=\"102423040\", alpha=\"0.15\", expect_size=\"40969216\"] \n  4 -> 5 [size =\"40969216\"]\n  4 -> 6 [size =\"40969216\"]\n  5 [size=\"117875200\", alpha=\"0.18\", expect_size=\"47150080\"] \n  5 -> 7 [size =\"47150080\"]\n  5 -> 8 [size =\"47150080\"]\n  6 [size=\"52477440\", alpha=\"0.12\", expect_size=\"20990976\"] \n  7 [size=\"108216320\", alpha=\"0.04\", expect_size=\"43286528\"] \n  7 -> 9 [size =\"43286528\"]\n  8 [size=\"67182080\", alpha=\"0.12\", expect_size=\"26872832\"] \n  9 [size=\"63744000\", alpha=\"0.14\", expect_size=\"25497600\"] \n  9 -> 10 [size =\"25497600\"]\n  9 -> 11 [size =\"25497600\"]\n  10 [size=\"21455360\", alpha=\"0.01\", expect_size=\"8582144\"] \n  11 [size=\"107192320\", alpha=\"0.10\", expect_size=\"42876928\"] \n  11 -> 12 [size =\"42876928\"]\n  12 [size=\"118814720\", alpha=\"0.07\", expect_size=\"47525888\"] \n  12 -> 13 [size =\"47525888\"]\n  13 [size=\"56519680\", alpha=\"0.07\", expect_size=\"22607872\"] \n  13 -> 14 [size =\"22607872\"]\n  13 -> 15 [size =\"22607872\"]\n  14 [size=\"25239040\", alpha=\"0.19\", expect_size=\"10095616\"] \n  15 [size=\"114547200\", alpha=\"0.19\", expect_size=\"45818880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81244160\", alpha=\"0.15\", expect_size=\"40622080\"] \n  1 -> 3 [size =\"40622080\"]\n  2 [size=\"41072640\", alpha=\"0.08\", expect_size=\"20536320\"] \n  3 [size=\"61691904\", alpha=\"0.11\", expect_size=\"30845952\"] \n  3 -> 4 [size =\"30845952\"]\n  3 -> 5 [size =\"30845952\"]\n  4 [size=\"34277376\", alpha=\"0.16\", expect_size=\"17138688\"] \n  4 -> 6 [size =\"17138688\"]\n  5 [size=\"29509632\", alpha=\"0.16\", expect_size=\"14754816\"] \n  5 -> 6 [size =\"14754816\"]\n  6 [size=\"28975104\", alpha=\"0.10\", expect_size=\"14487552\"] \n  6 -> 7 [size =\"14487552\"]\n  7 [size=\"49782784\", alpha=\"0.07\", expect_size=\"24891392\"] \n  7 -> 8 [size =\"24891392\"]\n  8 [size=\"95823872\", alpha=\"0.09\", expect_size=\"47911936\"] \n  8 -> 9 [size =\"47911936\"]\n  9 [size=\"38709248\", alpha=\"0.16\", expect_size=\"19354624\"] \n  9 -> 10 [size =\"19354624\"]\n  9 -> 11 [size =\"19354624\"]\n  10 [size=\"89579520\", alpha=\"0.04\", expect_size=\"44789760\"] \n  10 -> 12 [size =\"44789760\"]\n  10 -> 13 [size =\"44789760\"]\n  11 [size=\"43008000\", alpha=\"0.02\", expect_size=\"21504000\"] \n  11 -> 13 [size =\"21504000\"]\n  12 [size=\"19243008\", alpha=\"0.20\", expect_size=\"9621504\"] \n  12 -> 14 [size =\"9621504\"]\n  13 [size=\"57143296\", alpha=\"0.02\", expect_size=\"28571648\"] \n  14 [size=\"16734208\", alpha=\"0.09\", expect_size=\"8367104\"] \n  14 -> 15 [size =\"8367104\"]\n  15 [size=\"90634240\", alpha=\"0.16\", expect_size=\"45317120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107284480\", alpha=\"0.16\", expect_size=\"32185344\"] \n  1 -> 2 [size =\"32185344\"]\n  2 [size=\"106820267\", alpha=\"0.13\", expect_size=\"32046080\"] \n  2 -> 3 [size =\"32046080\"]\n  3 [size=\"96491520\", alpha=\"0.16\", expect_size=\"28947456\"] \n  3 -> 4 [size =\"28947456\"]\n  3 -> 5 [size =\"28947456\"]\n  4 [size=\"104966827\", alpha=\"0.04\", expect_size=\"31490048\"] \n  4 -> 6 [size =\"31490048\"]\n  4 -> 7 [size =\"31490048\"]\n  5 [size=\"20012373\", alpha=\"0.15\", expect_size=\"6003712\"] \n  6 [size=\"123637760\", alpha=\"0.03\", expect_size=\"37091328\"] \n  6 -> 8 [size =\"37091328\"]\n  7 [size=\"26084693\", alpha=\"0.02\", expect_size=\"7825408\"] \n  7 -> 9 [size =\"7825408\"]\n  8 [size=\"29351253\", alpha=\"0.09\", expect_size=\"8805376\"] \n  9 [size=\"113291947\", alpha=\"0.07\", expect_size=\"33987584\"] \n  9 -> 10 [size =\"33987584\"]\n  9 -> 11 [size =\"33987584\"]\n  10 [size=\"39690240\", alpha=\"0.13\", expect_size=\"11907072\"] \n  10 -> 12 [size =\"11907072\"]\n  10 -> 13 [size =\"11907072\"]\n  11 [size=\"103720960\", alpha=\"0.17\", expect_size=\"31116288\"] \n  12 [size=\"74240000\", alpha=\"0.03\", expect_size=\"22272000\"] \n  13 [size=\"19722240\", alpha=\"0.16\", expect_size=\"5916672\"] \n  13 -> 14 [size =\"5916672\"]\n  14 [size=\"143387307\", alpha=\"0.10\", expect_size=\"43016192\"] \n  14 -> 15 [size =\"43016192\"]\n  15 [size=\"174530560\", alpha=\"0.08\", expect_size=\"52359168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26615808\", alpha=\"0.06\", expect_size=\"13307904\"] \n  1 -> 8 [size =\"13307904\"]\n  2 [size=\"34125824\", alpha=\"0.18\", expect_size=\"17062912\"] \n  2 -> 7 [size =\"17062912\"]\n  2 -> 9 [size =\"17062912\"]\n  2 -> 10 [size =\"17062912\"]\n  2 -> 11 [size =\"17062912\"]\n  3 [size=\"17289216\", alpha=\"0.01\", expect_size=\"8644608\"] \n  3 -> 7 [size =\"8644608\"]\n  3 -> 10 [size =\"8644608\"]\n  4 [size=\"68052992\", alpha=\"0.15\", expect_size=\"34026496\"] \n  4 -> 8 [size =\"34026496\"]\n  4 -> 9 [size =\"34026496\"]\n  4 -> 10 [size =\"34026496\"]\n  4 -> 12 [size =\"34026496\"]\n  5 [size=\"63948800\", alpha=\"0.03\", expect_size=\"31974400\"] \n  5 -> 7 [size =\"31974400\"]\n  5 -> 8 [size =\"31974400\"]\n  5 -> 9 [size =\"31974400\"]\n  5 -> 11 [size =\"31974400\"]\n  5 -> 12 [size =\"31974400\"]\n  6 [size=\"26109952\", alpha=\"0.07\", expect_size=\"13054976\"] \n  6 -> 8 [size =\"13054976\"]\n  7 [size=\"38627328\", alpha=\"0.14\", expect_size=\"19313664\"] \n  8 [size=\"28641280\", alpha=\"0.08\", expect_size=\"14320640\"] \n  8 -> 15 [size =\"14320640\"]\n  9 [size=\"62306304\", alpha=\"0.19\", expect_size=\"31153152\"] \n  9 -> 15 [size =\"31153152\"]\n  10 [size=\"89440256\", alpha=\"0.15\", expect_size=\"44720128\"] \n  10 -> 15 [size =\"44720128\"]\n  11 [size=\"38232064\", alpha=\"0.02\", expect_size=\"19116032\"] \n  11 -> 13 [size =\"19116032\"]\n  11 -> 15 [size =\"19116032\"]\n  12 [size=\"68851712\", alpha=\"0.10\", expect_size=\"34425856\"] \n  12 -> 14 [size =\"34425856\"]\n  13 [size=\"57956352\", alpha=\"0.12\", expect_size=\"28978176\"] \n  14 [size=\"62713856\", alpha=\"0.16\", expect_size=\"31356928\"] \n  15 [size=\"40423424\", alpha=\"0.13\", expect_size=\"20211712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16384000\", alpha=\"0.15\", expect_size=\"8192000\"] \n  1 -> 14 [size =\"8192000\"]\n  2 [size=\"35561472\", alpha=\"0.10\", expect_size=\"17780736\"] \n  2 -> 11 [size =\"17780736\"]\n  2 -> 12 [size =\"17780736\"]\n  2 -> 14 [size =\"17780736\"]\n  3 [size=\"104374272\", alpha=\"0.12\", expect_size=\"52187136\"] \n  3 -> 11 [size =\"52187136\"]\n  3 -> 15 [size =\"52187136\"]\n  4 [size=\"92893184\", alpha=\"0.05\", expect_size=\"46446592\"] \n  4 -> 11 [size =\"46446592\"]\n  4 -> 12 [size =\"46446592\"]\n  4 -> 13 [size =\"46446592\"]\n  4 -> 14 [size =\"46446592\"]\n  5 [size=\"33667072\", alpha=\"0.05\", expect_size=\"16833536\"] \n  5 -> 11 [size =\"16833536\"]\n  5 -> 12 [size =\"16833536\"]\n  6 [size=\"28602368\", alpha=\"0.14\", expect_size=\"14301184\"] \n  6 -> 12 [size =\"14301184\"]\n  7 [size=\"103340032\", alpha=\"0.06\", expect_size=\"51670016\"] \n  7 -> 11 [size =\"51670016\"]\n  7 -> 12 [size =\"51670016\"]\n  7 -> 13 [size =\"51670016\"]\n  8 [size=\"50386944\", alpha=\"0.02\", expect_size=\"25193472\"] \n  8 -> 12 [size =\"25193472\"]\n  9 [size=\"39342080\", alpha=\"0.08\", expect_size=\"19671040\"] \n  9 -> 14 [size =\"19671040\"]\n  10 [size=\"64241664\", alpha=\"0.17\", expect_size=\"32120832\"] \n  10 -> 12 [size =\"32120832\"]\n  11 [size=\"28547072\", alpha=\"0.14\", expect_size=\"14273536\"] \n  12 [size=\"98275328\", alpha=\"0.03\", expect_size=\"49137664\"] \n  13 [size=\"50505728\", alpha=\"0.18\", expect_size=\"25252864\"] \n  14 [size=\"13387776\", alpha=\"0.16\", expect_size=\"6693888\"] \n  15 [size=\"39108608\", alpha=\"0.16\", expect_size=\"19554304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91955200\", alpha=\"0.12\", expect_size=\"36782080\"] \n  1 -> 10 [size =\"36782080\"]\n  1 -> 11 [size =\"36782080\"]\n  1 -> 12 [size =\"36782080\"]\n  1 -> 14 [size =\"36782080\"]\n  2 [size=\"37675520\", alpha=\"0.12\", expect_size=\"15070208\"] \n  2 -> 15 [size =\"15070208\"]\n  3 [size=\"84730880\", alpha=\"0.13\", expect_size=\"33892352\"] \n  3 -> 12 [size =\"33892352\"]\n  3 -> 13 [size =\"33892352\"]\n  3 -> 15 [size =\"33892352\"]\n  4 [size=\"36556800\", alpha=\"0.08\", expect_size=\"14622720\"] \n  4 -> 8 [size =\"14622720\"]\n  4 -> 12 [size =\"14622720\"]\n  4 -> 13 [size =\"14622720\"]\n  4 -> 14 [size =\"14622720\"]\n  4 -> 15 [size =\"14622720\"]\n  5 [size=\"40378880\", alpha=\"0.12\", expect_size=\"16151552\"] \n  5 -> 12 [size =\"16151552\"]\n  5 -> 13 [size =\"16151552\"]\n  5 -> 14 [size =\"16151552\"]\n  5 -> 15 [size =\"16151552\"]\n  6 [size=\"39475200\", alpha=\"0.10\", expect_size=\"15790080\"] \n  6 -> 9 [size =\"15790080\"]\n  7 [size=\"28730880\", alpha=\"0.15\", expect_size=\"11492352\"] \n  7 -> 8 [size =\"11492352\"]\n  7 -> 9 [size =\"11492352\"]\n  7 -> 14 [size =\"11492352\"]\n  8 [size=\"92111360\", alpha=\"0.11\", expect_size=\"36844544\"] \n  9 [size=\"99335680\", alpha=\"0.12\", expect_size=\"39734272\"] \n  10 [size=\"37178880\", alpha=\"0.15\", expect_size=\"14871552\"] \n  11 [size=\"31170560\", alpha=\"0.04\", expect_size=\"12468224\"] \n  12 [size=\"102912000\", alpha=\"0.08\", expect_size=\"41164800\"] \n  13 [size=\"53972480\", alpha=\"0.17\", expect_size=\"21588992\"] \n  14 [size=\"127923200\", alpha=\"0.01\", expect_size=\"51169280\"] \n  15 [size=\"54464000\", alpha=\"0.19\", expect_size=\"21785600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131246080\", alpha=\"0.19\", expect_size=\"39373824\"] \n  1 -> 2 [size =\"39373824\"]\n  2 [size=\"137424213\", alpha=\"0.17\", expect_size=\"41227264\"] \n  2 -> 3 [size =\"41227264\"]\n  3 [size=\"141673813\", alpha=\"0.03\", expect_size=\"42502144\"] \n  3 -> 4 [size =\"42502144\"]\n  4 [size=\"84589227\", alpha=\"0.10\", expect_size=\"25376768\"] \n  4 -> 5 [size =\"25376768\"]\n  5 [size=\"43895467\", alpha=\"0.16\", expect_size=\"13168640\"] \n  5 -> 6 [size =\"13168640\"]\n  6 [size=\"72919040\", alpha=\"0.04\", expect_size=\"21875712\"] \n  6 -> 7 [size =\"21875712\"]\n  7 [size=\"116831573\", alpha=\"0.06\", expect_size=\"35049472\"] \n  7 -> 8 [size =\"35049472\"]\n  7 -> 9 [size =\"35049472\"]\n  8 [size=\"35198293\", alpha=\"0.14\", expect_size=\"10559488\"] \n  9 [size=\"142312107\", alpha=\"0.16\", expect_size=\"42693632\"] \n  9 -> 10 [size =\"42693632\"]\n  10 [size=\"166359040\", alpha=\"0.17\", expect_size=\"49907712\"] \n  10 -> 11 [size =\"49907712\"]\n  11 [size=\"86050133\", alpha=\"0.03\", expect_size=\"25815040\"] \n  11 -> 12 [size =\"25815040\"]\n  12 [size=\"80336213\", alpha=\"0.00\", expect_size=\"24100864\"] \n  12 -> 13 [size =\"24100864\"]\n  13 [size=\"58460160\", alpha=\"0.13\", expect_size=\"17538048\"] \n  13 -> 14 [size =\"17538048\"]\n  14 [size=\"82097493\", alpha=\"0.05\", expect_size=\"24629248\"] \n  14 -> 15 [size =\"24629248\"]\n  15 [size=\"164358827\", alpha=\"0.10\", expect_size=\"49307648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59917653\", alpha=\"0.03\", expect_size=\"17975296\"] \n  1 -> 2 [size =\"17975296\"]\n  2 [size=\"82991787\", alpha=\"0.11\", expect_size=\"24897536\"] \n  2 -> 3 [size =\"24897536\"]\n  3 [size=\"66570240\", alpha=\"0.10\", expect_size=\"19971072\"] \n  3 -> 4 [size =\"19971072\"]\n  4 [size=\"112967680\", alpha=\"0.10\", expect_size=\"33890304\"] \n  4 -> 5 [size =\"33890304\"]\n  5 [size=\"22674773\", alpha=\"0.19\", expect_size=\"6802432\"] \n  5 -> 6 [size =\"6802432\"]\n  6 [size=\"142841173\", alpha=\"0.14\", expect_size=\"42852352\"] \n  6 -> 7 [size =\"42852352\"]\n  7 [size=\"97460907\", alpha=\"0.03\", expect_size=\"29238272\"] \n  7 -> 8 [size =\"29238272\"]\n  8 [size=\"66160640\", alpha=\"0.18\", expect_size=\"19848192\"] \n  8 -> 9 [size =\"19848192\"]\n  9 [size=\"72980480\", alpha=\"0.11\", expect_size=\"21894144\"] \n  9 -> 10 [size =\"21894144\"]\n  10 [size=\"55780693\", alpha=\"0.12\", expect_size=\"16734208\"] \n  10 -> 11 [size =\"16734208\"]\n  11 [size=\"124170240\", alpha=\"0.16\", expect_size=\"37251072\"] \n  11 -> 12 [size =\"37251072\"]\n  12 [size=\"148087467\", alpha=\"0.11\", expect_size=\"44426240\"] \n  12 -> 13 [size =\"44426240\"]\n  13 [size=\"79933440\", alpha=\"0.13\", expect_size=\"23980032\"] \n  13 -> 14 [size =\"23980032\"]\n  14 [size=\"161402880\", alpha=\"0.09\", expect_size=\"48420864\"] \n  14 -> 15 [size =\"48420864\"]\n  15 [size=\"79349760\", alpha=\"0.20\", expect_size=\"23804928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112061440\", alpha=\"0.18\", expect_size=\"44824576\"] \n  1 -> 2 [size =\"44824576\"]\n  2 [size=\"29980160\", alpha=\"0.03\", expect_size=\"11992064\"] \n  2 -> 3 [size =\"11992064\"]\n  3 [size=\"45470720\", alpha=\"0.07\", expect_size=\"18188288\"] \n  3 -> 4 [size =\"18188288\"]\n  4 [size=\"51489280\", alpha=\"0.03\", expect_size=\"20595712\"] \n  4 -> 5 [size =\"20595712\"]\n  5 [size=\"80145920\", alpha=\"0.02\", expect_size=\"32058368\"] \n  5 -> 6 [size =\"32058368\"]\n  6 [size=\"122186240\", alpha=\"0.06\", expect_size=\"48874496\"] \n  6 -> 7 [size =\"48874496\"]\n  7 [size=\"110814720\", alpha=\"0.10\", expect_size=\"44325888\"] \n  7 -> 8 [size =\"44325888\"]\n  8 [size=\"27924480\", alpha=\"0.04\", expect_size=\"11169792\"] \n  8 -> 9 [size =\"11169792\"]\n  9 [size=\"13872640\", alpha=\"0.19\", expect_size=\"5549056\"] \n  9 -> 10 [size =\"5549056\"]\n  10 [size=\"127275520\", alpha=\"0.01\", expect_size=\"50910208\"] \n  10 -> 11 [size =\"50910208\"]\n  11 [size=\"81098240\", alpha=\"0.04\", expect_size=\"32439296\"] \n  11 -> 12 [size =\"32439296\"]\n  12 [size=\"71290880\", alpha=\"0.19\", expect_size=\"28516352\"] \n  12 -> 13 [size =\"28516352\"]\n  13 [size=\"87508480\", alpha=\"0.00\", expect_size=\"35003392\"] \n  13 -> 14 [size =\"35003392\"]\n  14 [size=\"129438720\", alpha=\"0.05\", expect_size=\"51775488\"] \n  14 -> 15 [size =\"51775488\"]\n  15 [size=\"29798400\", alpha=\"0.13\", expect_size=\"11919360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39903232\", alpha=\"0.10\", expect_size=\"19951616\"] \n  1 -> 9 [size =\"19951616\"]\n  1 -> 10 [size =\"19951616\"]\n  1 -> 12 [size =\"19951616\"]\n  1 -> 15 [size =\"19951616\"]\n  2 [size=\"101101568\", alpha=\"0.12\", expect_size=\"50550784\"] \n  2 -> 9 [size =\"50550784\"]\n  2 -> 10 [size =\"50550784\"]\n  2 -> 12 [size =\"50550784\"]\n  3 [size=\"38612992\", alpha=\"0.16\", expect_size=\"19306496\"] \n  3 -> 9 [size =\"19306496\"]\n  3 -> 10 [size =\"19306496\"]\n  3 -> 12 [size =\"19306496\"]\n  3 -> 13 [size =\"19306496\"]\n  3 -> 15 [size =\"19306496\"]\n  4 [size=\"52779008\", alpha=\"0.15\", expect_size=\"26389504\"] \n  4 -> 9 [size =\"26389504\"]\n  4 -> 10 [size =\"26389504\"]\n  4 -> 12 [size =\"26389504\"]\n  5 [size=\"65703936\", alpha=\"0.04\", expect_size=\"32851968\"] \n  5 -> 10 [size =\"32851968\"]\n  5 -> 12 [size =\"32851968\"]\n  6 [size=\"30511104\", alpha=\"0.06\", expect_size=\"15255552\"] \n  6 -> 10 [size =\"15255552\"]\n  6 -> 11 [size =\"15255552\"]\n  6 -> 14 [size =\"15255552\"]\n  7 [size=\"44281856\", alpha=\"0.04\", expect_size=\"22140928\"] \n  7 -> 11 [size =\"22140928\"]\n  7 -> 12 [size =\"22140928\"]\n  8 [size=\"102371328\", alpha=\"0.04\", expect_size=\"51185664\"] \n  8 -> 9 [size =\"51185664\"]\n  8 -> 12 [size =\"51185664\"]\n  9 [size=\"85147648\", alpha=\"0.04\", expect_size=\"42573824\"] \n  10 [size=\"13568000\", alpha=\"0.09\", expect_size=\"6784000\"] \n  11 [size=\"10782720\", alpha=\"0.17\", expect_size=\"5391360\"] \n  12 [size=\"56621056\", alpha=\"0.13\", expect_size=\"28310528\"] \n  13 [size=\"18839552\", alpha=\"0.10\", expect_size=\"9419776\"] \n  14 [size=\"93114368\", alpha=\"0.01\", expect_size=\"46557184\"] \n  15 [size=\"70166528\", alpha=\"0.05\", expect_size=\"35083264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162430293\", alpha=\"0.07\", expect_size=\"48729088\"] \n  1 -> 14 [size =\"48729088\"]\n  1 -> 15 [size =\"48729088\"]\n  2 [size=\"160177493\", alpha=\"0.04\", expect_size=\"48053248\"] \n  2 -> 15 [size =\"48053248\"]\n  3 [size=\"82821120\", alpha=\"0.06\", expect_size=\"24846336\"] \n  3 -> 14 [size =\"24846336\"]\n  4 [size=\"140090027\", alpha=\"0.17\", expect_size=\"42027008\"] \n  4 -> 11 [size =\"42027008\"]\n  4 -> 13 [size =\"42027008\"]\n  4 -> 14 [size =\"42027008\"]\n  5 [size=\"29637973\", alpha=\"0.01\", expect_size=\"8891392\"] \n  6 [size=\"135656107\", alpha=\"0.12\", expect_size=\"40696832\"] \n  6 -> 14 [size =\"40696832\"]\n  7 [size=\"19899733\", alpha=\"0.12\", expect_size=\"5969920\"] \n  7 -> 11 [size =\"5969920\"]\n  8 [size=\"53766827\", alpha=\"0.03\", expect_size=\"16130048\"] \n  8 -> 14 [size =\"16130048\"]\n  9 [size=\"53367467\", alpha=\"0.08\", expect_size=\"16010240\"] \n  9 -> 14 [size =\"16010240\"]\n  10 [size=\"45946880\", alpha=\"0.17\", expect_size=\"13784064\"] \n  10 -> 11 [size =\"13784064\"]\n  10 -> 12 [size =\"13784064\"]\n  11 [size=\"171830613\", alpha=\"0.08\", expect_size=\"51549184\"] \n  12 [size=\"70884693\", alpha=\"0.19\", expect_size=\"21265408\"] \n  13 [size=\"101553493\", alpha=\"0.20\", expect_size=\"30466048\"] \n  14 [size=\"150661120\", alpha=\"0.17\", expect_size=\"45198336\"] \n  15 [size=\"129877333\", alpha=\"0.20\", expect_size=\"38963200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35944960\", alpha=\"0.12\", expect_size=\"14377984\"] \n  2 [size=\"89620480\", alpha=\"0.01\", expect_size=\"35848192\"] \n  2 -> 3 [size =\"35848192\"]\n  2 -> 4 [size =\"35848192\"]\n  3 [size=\"79718400\", alpha=\"0.06\", expect_size=\"31887360\"] \n  3 -> 5 [size =\"31887360\"]\n  4 [size=\"72793600\", alpha=\"0.13\", expect_size=\"29117440\"] \n  5 [size=\"121251840\", alpha=\"0.19\", expect_size=\"48500736\"] \n  5 -> 6 [size =\"48500736\"]\n  5 -> 7 [size =\"48500736\"]\n  6 [size=\"65973760\", alpha=\"0.13\", expect_size=\"26389504\"] \n  7 [size=\"125849600\", alpha=\"0.16\", expect_size=\"50339840\"] \n  7 -> 8 [size =\"50339840\"]\n  7 -> 9 [size =\"50339840\"]\n  8 [size=\"43745280\", alpha=\"0.09\", expect_size=\"17498112\"] \n  8 -> 11 [size =\"17498112\"]\n  9 [size=\"46896640\", alpha=\"0.03\", expect_size=\"18758656\"] \n  9 -> 10 [size =\"18758656\"]\n  10 [size=\"29045760\", alpha=\"0.09\", expect_size=\"11618304\"] \n  10 -> 12 [size =\"11618304\"]\n  11 [size=\"91107840\", alpha=\"0.15\", expect_size=\"36443136\"] \n  11 -> 13 [size =\"36443136\"]\n  12 [size=\"44262400\", alpha=\"0.05\", expect_size=\"17704960\"] \n  12 -> 14 [size =\"17704960\"]\n  13 [size=\"51317760\", alpha=\"0.03\", expect_size=\"20527104\"] \n  14 [size=\"84213760\", alpha=\"0.01\", expect_size=\"33685504\"] \n  14 -> 15 [size =\"33685504\"]\n  15 [size=\"43944960\", alpha=\"0.01\", expect_size=\"17577984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145691307\", alpha=\"0.06\", expect_size=\"43707392\"] \n  1 -> 10 [size =\"43707392\"]\n  1 -> 11 [size =\"43707392\"]\n  1 -> 13 [size =\"43707392\"]\n  2 [size=\"174711467\", alpha=\"0.13\", expect_size=\"52413440\"] \n  2 -> 10 [size =\"52413440\"]\n  2 -> 11 [size =\"52413440\"]\n  2 -> 13 [size =\"52413440\"]\n  3 [size=\"152784213\", alpha=\"0.18\", expect_size=\"45835264\"] \n  3 -> 11 [size =\"45835264\"]\n  4 [size=\"166570667\", alpha=\"0.11\", expect_size=\"49971200\"] \n  4 -> 10 [size =\"49971200\"]\n  4 -> 11 [size =\"49971200\"]\n  5 [size=\"92958720\", alpha=\"0.06\", expect_size=\"27887616\"] \n  5 -> 9 [size =\"27887616\"]\n  5 -> 10 [size =\"27887616\"]\n  5 -> 12 [size =\"27887616\"]\n  5 -> 13 [size =\"27887616\"]\n  6 [size=\"78434987\", alpha=\"0.06\", expect_size=\"23530496\"] \n  6 -> 9 [size =\"23530496\"]\n  6 -> 12 [size =\"23530496\"]\n  6 -> 13 [size =\"23530496\"]\n  7 [size=\"20524373\", alpha=\"0.04\", expect_size=\"6157312\"] \n  7 -> 9 [size =\"6157312\"]\n  8 [size=\"159085227\", alpha=\"0.01\", expect_size=\"47725568\"] \n  8 -> 9 [size =\"47725568\"]\n  8 -> 10 [size =\"47725568\"]\n  8 -> 11 [size =\"47725568\"]\n  9 [size=\"70683307\", alpha=\"0.18\", expect_size=\"21204992\"] \n  9 -> 14 [size =\"21204992\"]\n  10 [size=\"93228373\", alpha=\"0.07\", expect_size=\"27968512\"] \n  10 -> 14 [size =\"27968512\"]\n  11 [size=\"113664000\", alpha=\"0.19\", expect_size=\"34099200\"] \n  11 -> 14 [size =\"34099200\"]\n  12 [size=\"158952107\", alpha=\"0.07\", expect_size=\"47685632\"] \n  13 [size=\"101434027\", alpha=\"0.14\", expect_size=\"30430208\"] \n  13 -> 15 [size =\"30430208\"]\n  14 [size=\"89391787\", alpha=\"0.05\", expect_size=\"26817536\"] \n  15 [size=\"174223360\", alpha=\"0.00\", expect_size=\"52267008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78358528\", alpha=\"0.05\", expect_size=\"39179264\"] \n  1 -> 3 [size =\"39179264\"]\n  1 -> 4 [size =\"39179264\"]\n  2 [size=\"60194816\", alpha=\"0.05\", expect_size=\"30097408\"] \n  2 -> 3 [size =\"30097408\"]\n  2 -> 4 [size =\"30097408\"]\n  2 -> 5 [size =\"30097408\"]\n  3 [size=\"81006592\", alpha=\"0.00\", expect_size=\"40503296\"] \n  3 -> 6 [size =\"40503296\"]\n  3 -> 7 [size =\"40503296\"]\n  4 [size=\"47804416\", alpha=\"0.17\", expect_size=\"23902208\"] \n  4 -> 7 [size =\"23902208\"]\n  5 [size=\"35946496\", alpha=\"0.09\", expect_size=\"17973248\"] \n  6 [size=\"22097920\", alpha=\"0.19\", expect_size=\"11048960\"] \n  6 -> 8 [size =\"11048960\"]\n  6 -> 9 [size =\"11048960\"]\n  6 -> 10 [size =\"11048960\"]\n  7 [size=\"91072512\", alpha=\"0.19\", expect_size=\"45536256\"] \n  7 -> 8 [size =\"45536256\"]\n  7 -> 9 [size =\"45536256\"]\n  8 [size=\"78690304\", alpha=\"0.11\", expect_size=\"39345152\"] \n  9 [size=\"29911040\", alpha=\"0.06\", expect_size=\"14955520\"] \n  9 -> 12 [size =\"14955520\"]\n  10 [size=\"51953664\", alpha=\"0.15\", expect_size=\"25976832\"] \n  10 -> 11 [size =\"25976832\"]\n  10 -> 12 [size =\"25976832\"]\n  11 [size=\"26236928\", alpha=\"0.15\", expect_size=\"13118464\"] \n  11 -> 14 [size =\"13118464\"]\n  12 [size=\"49137664\", alpha=\"0.12\", expect_size=\"24568832\"] \n  12 -> 13 [size =\"24568832\"]\n  12 -> 14 [size =\"24568832\"]\n  12 -> 15 [size =\"24568832\"]\n  13 [size=\"72159232\", alpha=\"0.05\", expect_size=\"36079616\"] \n  14 [size=\"73897984\", alpha=\"0.08\", expect_size=\"36948992\"] \n  15 [size=\"57526272\", alpha=\"0.09\", expect_size=\"28763136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145486507\", alpha=\"0.07\", expect_size=\"43645952\"] \n  1 -> 2 [size =\"43645952\"]\n  2 [size=\"120524800\", alpha=\"0.12\", expect_size=\"36157440\"] \n  2 -> 3 [size =\"36157440\"]\n  3 [size=\"132314453\", alpha=\"0.04\", expect_size=\"39694336\"] \n  3 -> 4 [size =\"39694336\"]\n  4 [size=\"145080320\", alpha=\"0.08\", expect_size=\"43524096\"] \n  4 -> 5 [size =\"43524096\"]\n  5 [size=\"113616213\", alpha=\"0.03\", expect_size=\"34084864\"] \n  5 -> 6 [size =\"34084864\"]\n  6 [size=\"164468053\", alpha=\"0.15\", expect_size=\"49340416\"] \n  6 -> 7 [size =\"49340416\"]\n  7 [size=\"60299947\", alpha=\"0.12\", expect_size=\"18089984\"] \n  7 -> 8 [size =\"18089984\"]\n  8 [size=\"86674773\", alpha=\"0.13\", expect_size=\"26002432\"] \n  8 -> 9 [size =\"26002432\"]\n  9 [size=\"142015147\", alpha=\"0.00\", expect_size=\"42604544\"] \n  9 -> 10 [size =\"42604544\"]\n  10 [size=\"73680213\", alpha=\"0.05\", expect_size=\"22104064\"] \n  10 -> 11 [size =\"22104064\"]\n  11 [size=\"152159573\", alpha=\"0.05\", expect_size=\"45647872\"] \n  11 -> 12 [size =\"45647872\"]\n  12 [size=\"50206720\", alpha=\"0.13\", expect_size=\"15062016\"] \n  12 -> 13 [size =\"15062016\"]\n  13 [size=\"141052587\", alpha=\"0.07\", expect_size=\"42315776\"] \n  13 -> 14 [size =\"42315776\"]\n  14 [size=\"169246720\", alpha=\"0.17\", expect_size=\"50774016\"] \n  14 -> 15 [size =\"50774016\"]\n  15 [size=\"71956480\", alpha=\"0.08\", expect_size=\"21586944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94740480\", alpha=\"0.18\", expect_size=\"47370240\"] \n  1 -> 2 [size =\"47370240\"]\n  1 -> 3 [size =\"47370240\"]\n  2 [size=\"103567360\", alpha=\"0.07\", expect_size=\"51783680\"] \n  2 -> 4 [size =\"51783680\"]\n  3 [size=\"46850048\", alpha=\"0.04\", expect_size=\"23425024\"] \n  3 -> 5 [size =\"23425024\"]\n  4 [size=\"79210496\", alpha=\"0.12\", expect_size=\"39605248\"] \n  4 -> 6 [size =\"39605248\"]\n  5 [size=\"98115584\", alpha=\"0.19\", expect_size=\"49057792\"] \n  6 [size=\"39673856\", alpha=\"0.16\", expect_size=\"19836928\"] \n  6 -> 7 [size =\"19836928\"]\n  7 [size=\"38694912\", alpha=\"0.17\", expect_size=\"19347456\"] \n  7 -> 8 [size =\"19347456\"]\n  8 [size=\"31737856\", alpha=\"0.02\", expect_size=\"15868928\"] \n  8 -> 9 [size =\"15868928\"]\n  8 -> 10 [size =\"15868928\"]\n  9 [size=\"49917952\", alpha=\"0.15\", expect_size=\"24958976\"] \n  9 -> 11 [size =\"24958976\"]\n  10 [size=\"62955520\", alpha=\"0.12\", expect_size=\"31477760\"] \n  11 [size=\"53370880\", alpha=\"0.19\", expect_size=\"26685440\"] \n  11 -> 12 [size =\"26685440\"]\n  12 [size=\"41625600\", alpha=\"0.04\", expect_size=\"20812800\"] \n  12 -> 13 [size =\"20812800\"]\n  12 -> 14 [size =\"20812800\"]\n  13 [size=\"74977280\", alpha=\"0.05\", expect_size=\"37488640\"] \n  13 -> 15 [size =\"37488640\"]\n  14 [size=\"95264768\", alpha=\"0.12\", expect_size=\"47632384\"] \n  15 [size=\"58302464\", alpha=\"0.17\", expect_size=\"29151232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38988800\", alpha=\"0.10\", expect_size=\"15595520\"] \n  1 -> 2 [size =\"15595520\"]\n  2 [size=\"68881920\", alpha=\"0.14\", expect_size=\"27552768\"] \n  2 -> 3 [size =\"27552768\"]\n  2 -> 4 [size =\"27552768\"]\n  3 [size=\"62382080\", alpha=\"0.01\", expect_size=\"24952832\"] \n  3 -> 5 [size =\"24952832\"]\n  4 [size=\"116620800\", alpha=\"0.00\", expect_size=\"46648320\"] \n  4 -> 5 [size =\"46648320\"]\n  5 [size=\"92871680\", alpha=\"0.18\", expect_size=\"37148672\"] \n  5 -> 6 [size =\"37148672\"]\n  5 -> 7 [size =\"37148672\"]\n  6 [size=\"40852480\", alpha=\"0.20\", expect_size=\"16340992\"] \n  6 -> 8 [size =\"16340992\"]\n  7 [size=\"64325120\", alpha=\"0.05\", expect_size=\"25730048\"] \n  7 -> 8 [size =\"25730048\"]\n  7 -> 9 [size =\"25730048\"]\n  8 [size=\"94274560\", alpha=\"0.13\", expect_size=\"37709824\"] \n  9 [size=\"42664960\", alpha=\"0.01\", expect_size=\"17065984\"] \n  9 -> 10 [size =\"17065984\"]\n  10 [size=\"69847040\", alpha=\"0.01\", expect_size=\"27938816\"] \n  10 -> 11 [size =\"27938816\"]\n  11 [size=\"60421120\", alpha=\"0.15\", expect_size=\"24168448\"] \n  11 -> 12 [size =\"24168448\"]\n  12 [size=\"117329920\", alpha=\"0.08\", expect_size=\"46931968\"] \n  12 -> 13 [size =\"46931968\"]\n  13 [size=\"84390400\", alpha=\"0.16\", expect_size=\"33756160\"] \n  13 -> 14 [size =\"33756160\"]\n  13 -> 15 [size =\"33756160\"]\n  14 [size=\"89551360\", alpha=\"0.16\", expect_size=\"35820544\"] \n  15 [size=\"91937280\", alpha=\"0.01\", expect_size=\"36774912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99141632\", alpha=\"0.19\", expect_size=\"49570816\"] \n  1 -> 2 [size =\"49570816\"]\n  1 -> 3 [size =\"49570816\"]\n  2 [size=\"65818624\", alpha=\"0.12\", expect_size=\"32909312\"] \n  2 -> 5 [size =\"32909312\"]\n  3 [size=\"65622016\", alpha=\"0.16\", expect_size=\"32811008\"] \n  3 -> 4 [size =\"32811008\"]\n  4 [size=\"92358656\", alpha=\"0.11\", expect_size=\"46179328\"] \n  4 -> 6 [size =\"46179328\"]\n  5 [size=\"97849344\", alpha=\"0.14\", expect_size=\"48924672\"] \n  5 -> 7 [size =\"48924672\"]\n  6 [size=\"45217792\", alpha=\"0.16\", expect_size=\"22608896\"] \n  6 -> 8 [size =\"22608896\"]\n  7 [size=\"25915392\", alpha=\"0.13\", expect_size=\"12957696\"] \n  8 [size=\"72765440\", alpha=\"0.06\", expect_size=\"36382720\"] \n  8 -> 9 [size =\"36382720\"]\n  8 -> 10 [size =\"36382720\"]\n  9 [size=\"27140096\", alpha=\"0.06\", expect_size=\"13570048\"] \n  9 -> 12 [size =\"13570048\"]\n  10 [size=\"84736000\", alpha=\"0.10\", expect_size=\"42368000\"] \n  10 -> 11 [size =\"42368000\"]\n  11 [size=\"57139200\", alpha=\"0.11\", expect_size=\"28569600\"] \n  11 -> 13 [size =\"28569600\"]\n  12 [size=\"53536768\", alpha=\"0.10\", expect_size=\"26768384\"] \n  13 [size=\"13654016\", alpha=\"0.19\", expect_size=\"6827008\"] \n  13 -> 14 [size =\"6827008\"]\n  14 [size=\"91191296\", alpha=\"0.09\", expect_size=\"45595648\"] \n  14 -> 15 [size =\"45595648\"]\n  15 [size=\"50075648\", alpha=\"0.18\", expect_size=\"25037824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38295040\", alpha=\"0.15\", expect_size=\"15318016\"] \n  2 [size=\"44224000\", alpha=\"0.13\", expect_size=\"17689600\"] \n  2 -> 9 [size =\"17689600\"]\n  3 [size=\"63185920\", alpha=\"0.14\", expect_size=\"25274368\"] \n  3 -> 7 [size =\"25274368\"]\n  3 -> 10 [size =\"25274368\"]\n  4 [size=\"18739200\", alpha=\"0.18\", expect_size=\"7495680\"] \n  4 -> 10 [size =\"7495680\"]\n  5 [size=\"94315520\", alpha=\"0.04\", expect_size=\"37726208\"] \n  5 -> 7 [size =\"37726208\"]\n  5 -> 8 [size =\"37726208\"]\n  5 -> 9 [size =\"37726208\"]\n  6 [size=\"48803840\", alpha=\"0.04\", expect_size=\"19521536\"] \n  6 -> 7 [size =\"19521536\"]\n  6 -> 8 [size =\"19521536\"]\n  6 -> 10 [size =\"19521536\"]\n  7 [size=\"121707520\", alpha=\"0.05\", expect_size=\"48683008\"] \n  7 -> 12 [size =\"48683008\"]\n  8 [size=\"79969280\", alpha=\"0.08\", expect_size=\"31987712\"] \n  8 -> 11 [size =\"31987712\"]\n  8 -> 12 [size =\"31987712\"]\n  8 -> 14 [size =\"31987712\"]\n  8 -> 15 [size =\"31987712\"]\n  9 [size=\"122232320\", alpha=\"0.11\", expect_size=\"48892928\"] \n  9 -> 13 [size =\"48892928\"]\n  9 -> 14 [size =\"48892928\"]\n  10 [size=\"75706880\", alpha=\"0.13\", expect_size=\"30282752\"] \n  10 -> 15 [size =\"30282752\"]\n  11 [size=\"54159360\", alpha=\"0.19\", expect_size=\"21663744\"] \n  12 [size=\"23869440\", alpha=\"0.06\", expect_size=\"9547776\"] \n  13 [size=\"101125120\", alpha=\"0.09\", expect_size=\"40450048\"] \n  14 [size=\"67496960\", alpha=\"0.02\", expect_size=\"26998784\"] \n  15 [size=\"57866240\", alpha=\"0.03\", expect_size=\"23146496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137468587\", alpha=\"0.06\", expect_size=\"41240576\"] \n  1 -> 14 [size =\"41240576\"]\n  2 [size=\"165195093\", alpha=\"0.08\", expect_size=\"49558528\"] \n  2 -> 15 [size =\"49558528\"]\n  3 [size=\"143578453\", alpha=\"0.19\", expect_size=\"43073536\"] \n  3 -> 12 [size =\"43073536\"]\n  3 -> 13 [size =\"43073536\"]\n  3 -> 15 [size =\"43073536\"]\n  4 [size=\"153989120\", alpha=\"0.04\", expect_size=\"46196736\"] \n  4 -> 12 [size =\"46196736\"]\n  4 -> 13 [size =\"46196736\"]\n  4 -> 15 [size =\"46196736\"]\n  5 [size=\"86749867\", alpha=\"0.19\", expect_size=\"26024960\"] \n  5 -> 11 [size =\"26024960\"]\n  5 -> 13 [size =\"26024960\"]\n  5 -> 15 [size =\"26024960\"]\n  6 [size=\"171025067\", alpha=\"0.04\", expect_size=\"51307520\"] \n  6 -> 10 [size =\"51307520\"]\n  6 -> 12 [size =\"51307520\"]\n  6 -> 13 [size =\"51307520\"]\n  7 [size=\"43997867\", alpha=\"0.17\", expect_size=\"13199360\"] \n  8 [size=\"43031893\", alpha=\"0.06\", expect_size=\"12909568\"] \n  8 -> 13 [size =\"12909568\"]\n  9 [size=\"108096853\", alpha=\"0.07\", expect_size=\"32429056\"] \n  9 -> 12 [size =\"32429056\"]\n  9 -> 15 [size =\"32429056\"]\n  10 [size=\"47571627\", alpha=\"0.11\", expect_size=\"14271488\"] \n  11 [size=\"111411200\", alpha=\"0.04\", expect_size=\"33423360\"] \n  12 [size=\"158289920\", alpha=\"0.01\", expect_size=\"47486976\"] \n  13 [size=\"65419947\", alpha=\"0.08\", expect_size=\"19625984\"] \n  14 [size=\"58589867\", alpha=\"0.04\", expect_size=\"17576960\"] \n  15 [size=\"88084480\", alpha=\"0.04\", expect_size=\"26425344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54319787\", alpha=\"0.06\", expect_size=\"16295936\"] \n  2 [size=\"44032000\", alpha=\"0.11\", expect_size=\"13209600\"] \n  3 [size=\"96583680\", alpha=\"0.01\", expect_size=\"28975104\"] \n  4 [size=\"92900693\", alpha=\"0.11\", expect_size=\"27870208\"] \n  5 [size=\"142667093\", alpha=\"0.18\", expect_size=\"42800128\"] \n  6 [size=\"66788693\", alpha=\"0.02\", expect_size=\"20036608\"] \n  7 [size=\"98973013\", alpha=\"0.16\", expect_size=\"29691904\"] \n  8 [size=\"55326720\", alpha=\"0.02\", expect_size=\"16598016\"] \n  9 [size=\"141626027\", alpha=\"0.02\", expect_size=\"42487808\"] \n  10 [size=\"102116693\", alpha=\"0.02\", expect_size=\"30635008\"] \n  11 [size=\"91163307\", alpha=\"0.20\", expect_size=\"27348992\"] \n  12 [size=\"137943040\", alpha=\"0.17\", expect_size=\"41382912\"] \n  13 [size=\"67935573\", alpha=\"0.06\", expect_size=\"20380672\"] \n  14 [size=\"75311787\", alpha=\"0.19\", expect_size=\"22593536\"] \n  15 [size=\"164631893\", alpha=\"0.18\", expect_size=\"49389568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55142400\", alpha=\"0.01\", expect_size=\"27571200\"] \n  1 -> 12 [size =\"27571200\"]\n  2 [size=\"40886272\", alpha=\"0.12\", expect_size=\"20443136\"] \n  2 -> 14 [size =\"20443136\"]\n  3 [size=\"12691456\", alpha=\"0.20\", expect_size=\"6345728\"] \n  4 [size=\"11923456\", alpha=\"0.18\", expect_size=\"5961728\"] \n  4 -> 15 [size =\"5961728\"]\n  5 [size=\"96049152\", alpha=\"0.03\", expect_size=\"48024576\"] \n  5 -> 13 [size =\"48024576\"]\n  5 -> 14 [size =\"48024576\"]\n  6 [size=\"13629440\", alpha=\"0.07\", expect_size=\"6814720\"] \n  6 -> 13 [size =\"6814720\"]\n  7 [size=\"100925440\", alpha=\"0.13\", expect_size=\"50462720\"] \n  7 -> 13 [size =\"50462720\"]\n  8 [size=\"71606272\", alpha=\"0.15\", expect_size=\"35803136\"] \n  8 -> 13 [size =\"35803136\"]\n  9 [size=\"96974848\", alpha=\"0.04\", expect_size=\"48487424\"] \n  9 -> 13 [size =\"48487424\"]\n  10 [size=\"100020224\", alpha=\"0.17\", expect_size=\"50010112\"] \n  10 -> 13 [size =\"50010112\"]\n  10 -> 14 [size =\"50010112\"]\n  10 -> 15 [size =\"50010112\"]\n  11 [size=\"11239424\", alpha=\"0.16\", expect_size=\"5619712\"] \n  11 -> 13 [size =\"5619712\"]\n  11 -> 14 [size =\"5619712\"]\n  12 [size=\"14592000\", alpha=\"0.02\", expect_size=\"7296000\"] \n  13 [size=\"70406144\", alpha=\"0.06\", expect_size=\"35203072\"] \n  14 [size=\"70094848\", alpha=\"0.13\", expect_size=\"35047424\"] \n  15 [size=\"60418048\", alpha=\"0.00\", expect_size=\"30209024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116707840\", alpha=\"0.07\", expect_size=\"46683136\"] \n  1 -> 2 [size =\"46683136\"]\n  1 -> 3 [size =\"46683136\"]\n  2 [size=\"91471360\", alpha=\"0.18\", expect_size=\"36588544\"] \n  2 -> 4 [size =\"36588544\"]\n  3 [size=\"100984320\", alpha=\"0.01\", expect_size=\"40393728\"] \n  3 -> 4 [size =\"40393728\"]\n  4 [size=\"114129920\", alpha=\"0.12\", expect_size=\"45651968\"] \n  4 -> 5 [size =\"45651968\"]\n  4 -> 6 [size =\"45651968\"]\n  5 [size=\"129341440\", alpha=\"0.18\", expect_size=\"51736576\"] \n  5 -> 7 [size =\"51736576\"]\n  6 [size=\"74608640\", alpha=\"0.06\", expect_size=\"29843456\"] \n  6 -> 7 [size =\"29843456\"]\n  7 [size=\"112619520\", alpha=\"0.11\", expect_size=\"45047808\"] \n  7 -> 8 [size =\"45047808\"]\n  7 -> 9 [size =\"45047808\"]\n  8 [size=\"78417920\", alpha=\"0.09\", expect_size=\"31367168\"] \n  8 -> 10 [size =\"31367168\"]\n  9 [size=\"87124480\", alpha=\"0.17\", expect_size=\"34849792\"] \n  9 -> 10 [size =\"34849792\"]\n  9 -> 11 [size =\"34849792\"]\n  10 [size=\"58606080\", alpha=\"0.10\", expect_size=\"23442432\"] \n  10 -> 12 [size =\"23442432\"]\n  10 -> 13 [size =\"23442432\"]\n  11 [size=\"14707200\", alpha=\"0.00\", expect_size=\"5882880\"] \n  11 -> 12 [size =\"5882880\"]\n  11 -> 13 [size =\"5882880\"]\n  12 [size=\"53800960\", alpha=\"0.10\", expect_size=\"21520384\"] \n  12 -> 14 [size =\"21520384\"]\n  12 -> 15 [size =\"21520384\"]\n  13 [size=\"39756800\", alpha=\"0.11\", expect_size=\"15902720\"] \n  13 -> 14 [size =\"15902720\"]\n  13 -> 15 [size =\"15902720\"]\n  14 [size=\"45813760\", alpha=\"0.04\", expect_size=\"18325504\"] \n  15 [size=\"115499520\", alpha=\"0.05\", expect_size=\"46199808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46564693\", alpha=\"0.12\", expect_size=\"13969408\"] \n  1 -> 2 [size =\"13969408\"]\n  2 [size=\"59545600\", alpha=\"0.15\", expect_size=\"17863680\"] \n  2 -> 3 [size =\"17863680\"]\n  3 [size=\"115473067\", alpha=\"0.13\", expect_size=\"34641920\"] \n  3 -> 4 [size =\"34641920\"]\n  4 [size=\"19862187\", alpha=\"0.05\", expect_size=\"5958656\"] \n  4 -> 5 [size =\"5958656\"]\n  5 [size=\"60805120\", alpha=\"0.04\", expect_size=\"18241536\"] \n  5 -> 6 [size =\"18241536\"]\n  6 [size=\"148643840\", alpha=\"0.09\", expect_size=\"44593152\"] \n  6 -> 7 [size =\"44593152\"]\n  7 [size=\"99519147\", alpha=\"0.04\", expect_size=\"29855744\"] \n  7 -> 8 [size =\"29855744\"]\n  8 [size=\"53903360\", alpha=\"0.10\", expect_size=\"16171008\"] \n  8 -> 9 [size =\"16171008\"]\n  9 [size=\"93337600\", alpha=\"0.11\", expect_size=\"28001280\"] \n  9 -> 10 [size =\"28001280\"]\n  10 [size=\"41308160\", alpha=\"0.03\", expect_size=\"12392448\"] \n  10 -> 11 [size =\"12392448\"]\n  11 [size=\"101191680\", alpha=\"0.11\", expect_size=\"30357504\"] \n  11 -> 12 [size =\"30357504\"]\n  12 [size=\"38195200\", alpha=\"0.01\", expect_size=\"11458560\"] \n  12 -> 13 [size =\"11458560\"]\n  13 [size=\"157528747\", alpha=\"0.01\", expect_size=\"47258624\"] \n  13 -> 14 [size =\"47258624\"]\n  14 [size=\"101734400\", alpha=\"0.04\", expect_size=\"30520320\"] \n  14 -> 15 [size =\"30520320\"]\n  15 [size=\"144418133\", alpha=\"0.07\", expect_size=\"43325440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103495680\", alpha=\"0.04\", expect_size=\"51747840\"] \n  1 -> 2 [size =\"51747840\"]\n  1 -> 3 [size =\"51747840\"]\n  2 [size=\"91197440\", alpha=\"0.05\", expect_size=\"45598720\"] \n  2 -> 4 [size =\"45598720\"]\n  2 -> 5 [size =\"45598720\"]\n  3 [size=\"68798464\", alpha=\"0.16\", expect_size=\"34399232\"] \n  3 -> 5 [size =\"34399232\"]\n  4 [size=\"47439872\", alpha=\"0.17\", expect_size=\"23719936\"] \n  4 -> 6 [size =\"23719936\"]\n  5 [size=\"92930048\", alpha=\"0.12\", expect_size=\"46465024\"] \n  5 -> 6 [size =\"46465024\"]\n  6 [size=\"26953728\", alpha=\"0.16\", expect_size=\"13476864\"] \n  6 -> 7 [size =\"13476864\"]\n  7 [size=\"88956928\", alpha=\"0.01\", expect_size=\"44478464\"] \n  7 -> 8 [size =\"44478464\"]\n  8 [size=\"45361152\", alpha=\"0.09\", expect_size=\"22680576\"] \n  8 -> 9 [size =\"22680576\"]\n  9 [size=\"58589184\", alpha=\"0.17\", expect_size=\"29294592\"] \n  9 -> 10 [size =\"29294592\"]\n  10 [size=\"92768256\", alpha=\"0.12\", expect_size=\"46384128\"] \n  10 -> 11 [size =\"46384128\"]\n  10 -> 12 [size =\"46384128\"]\n  11 [size=\"50700288\", alpha=\"0.17\", expect_size=\"25350144\"] \n  11 -> 13 [size =\"25350144\"]\n  11 -> 14 [size =\"25350144\"]\n  12 [size=\"70426624\", alpha=\"0.19\", expect_size=\"35213312\"] \n  12 -> 13 [size =\"35213312\"]\n  12 -> 14 [size =\"35213312\"]\n  13 [size=\"95459328\", alpha=\"0.12\", expect_size=\"47729664\"] \n  13 -> 15 [size =\"47729664\"]\n  14 [size=\"77697024\", alpha=\"0.06\", expect_size=\"38848512\"] \n  14 -> 15 [size =\"38848512\"]\n  15 [size=\"64679936\", alpha=\"0.06\", expect_size=\"32339968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127459840\", alpha=\"0.18\", expect_size=\"50983936\"] \n  1 -> 2 [size =\"50983936\"]\n  2 [size=\"38745600\", alpha=\"0.12\", expect_size=\"15498240\"] \n  2 -> 3 [size =\"15498240\"]\n  3 [size=\"27845120\", alpha=\"0.10\", expect_size=\"11138048\"] \n  3 -> 4 [size =\"11138048\"]\n  4 [size=\"29647360\", alpha=\"0.06\", expect_size=\"11858944\"] \n  4 -> 5 [size =\"11858944\"]\n  5 [size=\"98703360\", alpha=\"0.15\", expect_size=\"39481344\"] \n  5 -> 6 [size =\"39481344\"]\n  6 [size=\"58091520\", alpha=\"0.01\", expect_size=\"23236608\"] \n  6 -> 7 [size =\"23236608\"]\n  7 [size=\"22041600\", alpha=\"0.10\", expect_size=\"8816640\"] \n  7 -> 8 [size =\"8816640\"]\n  8 [size=\"58178560\", alpha=\"0.14\", expect_size=\"23271424\"] \n  8 -> 9 [size =\"23271424\"]\n  9 [size=\"30929920\", alpha=\"0.06\", expect_size=\"12371968\"] \n  9 -> 10 [size =\"12371968\"]\n  10 [size=\"86120960\", alpha=\"0.03\", expect_size=\"34448384\"] \n  10 -> 11 [size =\"34448384\"]\n  11 [size=\"65579520\", alpha=\"0.09\", expect_size=\"26231808\"] \n  11 -> 12 [size =\"26231808\"]\n  12 [size=\"54443520\", alpha=\"0.05\", expect_size=\"21777408\"] \n  12 -> 13 [size =\"21777408\"]\n  13 [size=\"125514240\", alpha=\"0.15\", expect_size=\"50205696\"] \n  13 -> 14 [size =\"50205696\"]\n  14 [size=\"64112640\", alpha=\"0.06\", expect_size=\"25645056\"] \n  14 -> 15 [size =\"25645056\"]\n  15 [size=\"98890240\", alpha=\"0.17\", expect_size=\"39556096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148421973\", alpha=\"0.06\", expect_size=\"44526592\"] \n  1 -> 4 [size =\"44526592\"]\n  1 -> 5 [size =\"44526592\"]\n  2 [size=\"159549440\", alpha=\"0.16\", expect_size=\"47864832\"] \n  2 -> 4 [size =\"47864832\"]\n  3 [size=\"94685867\", alpha=\"0.16\", expect_size=\"28405760\"] \n  4 [size=\"60511573\", alpha=\"0.15\", expect_size=\"18153472\"] \n  4 -> 6 [size =\"18153472\"]\n  4 -> 7 [size =\"18153472\"]\n  5 [size=\"47527253\", alpha=\"0.09\", expect_size=\"14258176\"] \n  5 -> 8 [size =\"14258176\"]\n  6 [size=\"41932800\", alpha=\"0.17\", expect_size=\"12579840\"] \n  7 [size=\"143240533\", alpha=\"0.17\", expect_size=\"42972160\"] \n  8 [size=\"130201600\", alpha=\"0.07\", expect_size=\"39060480\"] \n  8 -> 9 [size =\"39060480\"]\n  8 -> 10 [size =\"39060480\"]\n  8 -> 11 [size =\"39060480\"]\n  9 [size=\"171216213\", alpha=\"0.14\", expect_size=\"51364864\"] \n  10 [size=\"125631147\", alpha=\"0.06\", expect_size=\"37689344\"] \n  10 -> 12 [size =\"37689344\"]\n  10 -> 13 [size =\"37689344\"]\n  11 [size=\"33351680\", alpha=\"0.10\", expect_size=\"10005504\"] \n  11 -> 14 [size =\"10005504\"]\n  12 [size=\"80472747\", alpha=\"0.03\", expect_size=\"24141824\"] \n  12 -> 15 [size =\"24141824\"]\n  13 [size=\"45991253\", alpha=\"0.15\", expect_size=\"13797376\"] \n  13 -> 15 [size =\"13797376\"]\n  14 [size=\"169878187\", alpha=\"0.19\", expect_size=\"50963456\"] \n  15 [size=\"127569920\", alpha=\"0.12\", expect_size=\"38270976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39712768\", alpha=\"0.19\", expect_size=\"19856384\"] \n  2 [size=\"43352064\", alpha=\"0.06\", expect_size=\"21676032\"] \n  3 [size=\"95690752\", alpha=\"0.13\", expect_size=\"47845376\"] \n  4 [size=\"66701312\", alpha=\"0.14\", expect_size=\"33350656\"] \n  4 -> 15 [size =\"33350656\"]\n  5 [size=\"35080192\", alpha=\"0.11\", expect_size=\"17540096\"] \n  6 [size=\"33859584\", alpha=\"0.18\", expect_size=\"16929792\"] \n  6 -> 12 [size =\"16929792\"]\n  6 -> 15 [size =\"16929792\"]\n  7 [size=\"19892224\", alpha=\"0.17\", expect_size=\"9946112\"] \n  7 -> 12 [size =\"9946112\"]\n  7 -> 14 [size =\"9946112\"]\n  8 [size=\"16728064\", alpha=\"0.18\", expect_size=\"8364032\"] \n  8 -> 12 [size =\"8364032\"]\n  8 -> 13 [size =\"8364032\"]\n  9 [size=\"34054144\", alpha=\"0.14\", expect_size=\"17027072\"] \n  9 -> 12 [size =\"17027072\"]\n  9 -> 13 [size =\"17027072\"]\n  9 -> 15 [size =\"17027072\"]\n  10 [size=\"99479552\", alpha=\"0.11\", expect_size=\"49739776\"] \n  10 -> 13 [size =\"49739776\"]\n  11 [size=\"67721216\", alpha=\"0.02\", expect_size=\"33860608\"] \n  11 -> 13 [size =\"33860608\"]\n  12 [size=\"65284096\", alpha=\"0.03\", expect_size=\"32642048\"] \n  13 [size=\"94072832\", alpha=\"0.04\", expect_size=\"47036416\"] \n  14 [size=\"60127232\", alpha=\"0.10\", expect_size=\"30063616\"] \n  15 [size=\"33392640\", alpha=\"0.14\", expect_size=\"16696320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97263616\", alpha=\"0.07\", expect_size=\"48631808\"] \n  1 -> 15 [size =\"48631808\"]\n  2 [size=\"38356992\", alpha=\"0.08\", expect_size=\"19178496\"] \n  2 -> 12 [size =\"19178496\"]\n  3 [size=\"12396544\", alpha=\"0.13\", expect_size=\"6198272\"] \n  3 -> 12 [size =\"6198272\"]\n  4 [size=\"50784256\", alpha=\"0.16\", expect_size=\"25392128\"] \n  4 -> 14 [size =\"25392128\"]\n  5 [size=\"34330624\", alpha=\"0.09\", expect_size=\"17165312\"] \n  5 -> 13 [size =\"17165312\"]\n  5 -> 14 [size =\"17165312\"]\n  6 [size=\"37527552\", alpha=\"0.15\", expect_size=\"18763776\"] \n  6 -> 13 [size =\"18763776\"]\n  7 [size=\"34682880\", alpha=\"0.16\", expect_size=\"17341440\"] \n  7 -> 13 [size =\"17341440\"]\n  7 -> 14 [size =\"17341440\"]\n  8 [size=\"40898560\", alpha=\"0.07\", expect_size=\"20449280\"] \n  8 -> 12 [size =\"20449280\"]\n  8 -> 13 [size =\"20449280\"]\n  8 -> 14 [size =\"20449280\"]\n  9 [size=\"27973632\", alpha=\"0.18\", expect_size=\"13986816\"] \n  9 -> 13 [size =\"13986816\"]\n  9 -> 13 [size =\"13986816\"]\n  9 -> 14 [size =\"13986816\"]\n  10 [size=\"66080768\", alpha=\"0.09\", expect_size=\"33040384\"] \n  10 -> 12 [size =\"33040384\"]\n  10 -> 13 [size =\"33040384\"]\n  10 -> 14 [size =\"33040384\"]\n  11 [size=\"65355776\", alpha=\"0.03\", expect_size=\"32677888\"] \n  11 -> 12 [size =\"32677888\"]\n  11 -> 13 [size =\"32677888\"]\n  11 -> 14 [size =\"32677888\"]\n  12 [size=\"97941504\", alpha=\"0.19\", expect_size=\"48970752\"] \n  13 [size=\"41183232\", alpha=\"0.04\", expect_size=\"20591616\"] \n  14 [size=\"103768064\", alpha=\"0.15\", expect_size=\"51884032\"] \n  15 [size=\"87236608\", alpha=\"0.18\", expect_size=\"43618304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171997867\", alpha=\"0.05\", expect_size=\"51599360\"] \n  1 -> 5 [size =\"51599360\"]\n  2 [size=\"110226773\", alpha=\"0.01\", expect_size=\"33068032\"] \n  3 [size=\"150422187\", alpha=\"0.08\", expect_size=\"45126656\"] \n  3 -> 6 [size =\"45126656\"]\n  4 [size=\"33426773\", alpha=\"0.04\", expect_size=\"10028032\"] \n  4 -> 5 [size =\"10028032\"]\n  5 [size=\"46015147\", alpha=\"0.17\", expect_size=\"13804544\"] \n  5 -> 7 [size =\"13804544\"]\n  5 -> 8 [size =\"13804544\"]\n  6 [size=\"20599467\", alpha=\"0.20\", expect_size=\"6179840\"] \n  6 -> 7 [size =\"6179840\"]\n  7 [size=\"19797333\", alpha=\"0.06\", expect_size=\"5939200\"] \n  7 -> 9 [size =\"5939200\"]\n  7 -> 10 [size =\"5939200\"]\n  8 [size=\"143674027\", alpha=\"0.03\", expect_size=\"43102208\"] \n  8 -> 10 [size =\"43102208\"]\n  9 [size=\"56166400\", alpha=\"0.12\", expect_size=\"16849920\"] \n  9 -> 11 [size =\"16849920\"]\n  9 -> 12 [size =\"16849920\"]\n  9 -> 13 [size =\"16849920\"]\n  10 [size=\"122060800\", alpha=\"0.05\", expect_size=\"36618240\"] \n  10 -> 11 [size =\"36618240\"]\n  10 -> 12 [size =\"36618240\"]\n  11 [size=\"71802880\", alpha=\"0.04\", expect_size=\"21540864\"] \n  12 [size=\"112797013\", alpha=\"0.17\", expect_size=\"33839104\"] \n  12 -> 15 [size =\"33839104\"]\n  13 [size=\"117906773\", alpha=\"0.12\", expect_size=\"35372032\"] \n  13 -> 14 [size =\"35372032\"]\n  14 [size=\"22623573\", alpha=\"0.00\", expect_size=\"6787072\"] \n  15 [size=\"54152533\", alpha=\"0.18\", expect_size=\"16245760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23531520\", alpha=\"0.17\", expect_size=\"7059456\"] \n  1 -> 2 [size =\"7059456\"]\n  2 [size=\"73973760\", alpha=\"0.08\", expect_size=\"22192128\"] \n  2 -> 3 [size =\"22192128\"]\n  3 [size=\"94836053\", alpha=\"0.12\", expect_size=\"28450816\"] \n  3 -> 4 [size =\"28450816\"]\n  4 [size=\"126119253\", alpha=\"0.13\", expect_size=\"37835776\"] \n  4 -> 5 [size =\"37835776\"]\n  5 [size=\"160047787\", alpha=\"0.15\", expect_size=\"48014336\"] \n  5 -> 6 [size =\"48014336\"]\n  6 [size=\"126672213\", alpha=\"0.11\", expect_size=\"38001664\"] \n  6 -> 7 [size =\"38001664\"]\n  7 [size=\"52858880\", alpha=\"0.16\", expect_size=\"15857664\"] \n  7 -> 8 [size =\"15857664\"]\n  8 [size=\"91248640\", alpha=\"0.06\", expect_size=\"27374592\"] \n  8 -> 9 [size =\"27374592\"]\n  9 [size=\"113240747\", alpha=\"0.20\", expect_size=\"33972224\"] \n  9 -> 10 [size =\"33972224\"]\n  10 [size=\"154323627\", alpha=\"0.09\", expect_size=\"46297088\"] \n  10 -> 11 [size =\"46297088\"]\n  11 [size=\"36119893\", alpha=\"0.15\", expect_size=\"10835968\"] \n  11 -> 12 [size =\"10835968\"]\n  12 [size=\"166717440\", alpha=\"0.17\", expect_size=\"50015232\"] \n  12 -> 13 [size =\"50015232\"]\n  13 [size=\"75431253\", alpha=\"0.11\", expect_size=\"22629376\"] \n  13 -> 14 [size =\"22629376\"]\n  14 [size=\"167738027\", alpha=\"0.08\", expect_size=\"50321408\"] \n  14 -> 15 [size =\"50321408\"]\n  15 [size=\"109834240\", alpha=\"0.10\", expect_size=\"32950272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18452480\", alpha=\"0.02\", expect_size=\"9226240\"] \n  1 -> 4 [size =\"9226240\"]\n  2 [size=\"30136320\", alpha=\"0.14\", expect_size=\"15068160\"] \n  2 -> 3 [size =\"15068160\"]\n  2 -> 4 [size =\"15068160\"]\n  3 [size=\"61519872\", alpha=\"0.09\", expect_size=\"30759936\"] \n  3 -> 5 [size =\"30759936\"]\n  3 -> 6 [size =\"30759936\"]\n  4 [size=\"27052032\", alpha=\"0.15\", expect_size=\"13526016\"] \n  4 -> 5 [size =\"13526016\"]\n  4 -> 6 [size =\"13526016\"]\n  5 [size=\"48928768\", alpha=\"0.02\", expect_size=\"24464384\"] \n  5 -> 8 [size =\"24464384\"]\n  6 [size=\"21356544\", alpha=\"0.03\", expect_size=\"10678272\"] \n  6 -> 7 [size =\"10678272\"]\n  6 -> 8 [size =\"10678272\"]\n  7 [size=\"86171648\", alpha=\"0.06\", expect_size=\"43085824\"] \n  7 -> 9 [size =\"43085824\"]\n  7 -> 10 [size =\"43085824\"]\n  7 -> 11 [size =\"43085824\"]\n  8 [size=\"36034560\", alpha=\"0.18\", expect_size=\"18017280\"] \n  8 -> 9 [size =\"18017280\"]\n  8 -> 10 [size =\"18017280\"]\n  8 -> 11 [size =\"18017280\"]\n  9 [size=\"39231488\", alpha=\"0.01\", expect_size=\"19615744\"] \n  9 -> 12 [size =\"19615744\"]\n  9 -> 13 [size =\"19615744\"]\n  10 [size=\"84795392\", alpha=\"0.15\", expect_size=\"42397696\"] \n  10 -> 14 [size =\"42397696\"]\n  11 [size=\"58624000\", alpha=\"0.19\", expect_size=\"29312000\"] \n  11 -> 12 [size =\"29312000\"]\n  11 -> 13 [size =\"29312000\"]\n  11 -> 14 [size =\"29312000\"]\n  12 [size=\"66441216\", alpha=\"0.11\", expect_size=\"33220608\"] \n  13 [size=\"38483968\", alpha=\"0.05\", expect_size=\"19241984\"] \n  14 [size=\"81268736\", alpha=\"0.02\", expect_size=\"40634368\"] \n  14 -> 15 [size =\"40634368\"]\n  15 [size=\"56745984\", alpha=\"0.14\", expect_size=\"28372992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64829440\", alpha=\"0.17\", expect_size=\"25931776\"] \n  1 -> 5 [size =\"25931776\"]\n  1 -> 6 [size =\"25931776\"]\n  2 [size=\"41960960\", alpha=\"0.08\", expect_size=\"16784384\"] \n  2 -> 4 [size =\"16784384\"]\n  2 -> 5 [size =\"16784384\"]\n  2 -> 6 [size =\"16784384\"]\n  3 [size=\"71761920\", alpha=\"0.04\", expect_size=\"28704768\"] \n  3 -> 4 [size =\"28704768\"]\n  3 -> 5 [size =\"28704768\"]\n  3 -> 6 [size =\"28704768\"]\n  4 [size=\"114752000\", alpha=\"0.17\", expect_size=\"45900800\"] \n  4 -> 7 [size =\"45900800\"]\n  4 -> 8 [size =\"45900800\"]\n  4 -> 9 [size =\"45900800\"]\n  5 [size=\"85475840\", alpha=\"0.04\", expect_size=\"34190336\"] \n  5 -> 8 [size =\"34190336\"]\n  5 -> 9 [size =\"34190336\"]\n  6 [size=\"94054400\", alpha=\"0.01\", expect_size=\"37621760\"] \n  6 -> 8 [size =\"37621760\"]\n  6 -> 9 [size =\"37621760\"]\n  7 [size=\"22750720\", alpha=\"0.09\", expect_size=\"9100288\"] \n  7 -> 10 [size =\"9100288\"]\n  8 [size=\"90403840\", alpha=\"0.19\", expect_size=\"36161536\"] \n  8 -> 10 [size =\"36161536\"]\n  8 -> 11 [size =\"36161536\"]\n  9 [size=\"27036160\", alpha=\"0.19\", expect_size=\"10814464\"] \n  9 -> 10 [size =\"10814464\"]\n  10 [size=\"113477120\", alpha=\"0.18\", expect_size=\"45390848\"] \n  10 -> 12 [size =\"45390848\"]\n  10 -> 14 [size =\"45390848\"]\n  11 [size=\"127303680\", alpha=\"0.01\", expect_size=\"50921472\"] \n  11 -> 12 [size =\"50921472\"]\n  11 -> 13 [size =\"50921472\"]\n  11 -> 14 [size =\"50921472\"]\n  12 [size=\"109580800\", alpha=\"0.06\", expect_size=\"43832320\"] \n  12 -> 15 [size =\"43832320\"]\n  13 [size=\"38164480\", alpha=\"0.18\", expect_size=\"15265792\"] \n  14 [size=\"61539840\", alpha=\"0.09\", expect_size=\"24615936\"] \n  14 -> 15 [size =\"24615936\"]\n  15 [size=\"45936640\", alpha=\"0.13\", expect_size=\"18374656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151282347\", alpha=\"0.07\", expect_size=\"45384704\"] \n  1 -> 13 [size =\"45384704\"]\n  2 [size=\"107745280\", alpha=\"0.05\", expect_size=\"32323584\"] \n  2 -> 12 [size =\"32323584\"]\n  2 -> 13 [size =\"32323584\"]\n  2 -> 15 [size =\"32323584\"]\n  3 [size=\"92753920\", alpha=\"0.15\", expect_size=\"27826176\"] \n  3 -> 13 [size =\"27826176\"]\n  4 [size=\"55156053\", alpha=\"0.05\", expect_size=\"16546816\"] \n  4 -> 14 [size =\"16546816\"]\n  5 [size=\"49937067\", alpha=\"0.08\", expect_size=\"14981120\"] \n  6 [size=\"84445867\", alpha=\"0.11\", expect_size=\"25333760\"] \n  6 -> 11 [size =\"25333760\"]\n  6 -> 15 [size =\"25333760\"]\n  7 [size=\"153596587\", alpha=\"0.09\", expect_size=\"46078976\"] \n  7 -> 15 [size =\"46078976\"]\n  8 [size=\"68969813\", alpha=\"0.15\", expect_size=\"20690944\"] \n  8 -> 12 [size =\"20690944\"]\n  9 [size=\"160095573\", alpha=\"0.13\", expect_size=\"48028672\"] \n  9 -> 13 [size =\"48028672\"]\n  10 [size=\"119978667\", alpha=\"0.03\", expect_size=\"35993600\"] \n  10 -> 11 [size =\"35993600\"]\n  10 -> 12 [size =\"35993600\"]\n  11 [size=\"168284160\", alpha=\"0.18\", expect_size=\"50485248\"] \n  12 [size=\"62853120\", alpha=\"0.12\", expect_size=\"18855936\"] \n  13 [size=\"105830400\", alpha=\"0.00\", expect_size=\"31749120\"] \n  14 [size=\"67485013\", alpha=\"0.07\", expect_size=\"20245504\"] \n  15 [size=\"108322133\", alpha=\"0.03\", expect_size=\"32496640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90634240\", alpha=\"0.04\", expect_size=\"45317120\"] \n  1 -> 2 [size =\"45317120\"]\n  2 [size=\"35227648\", alpha=\"0.08\", expect_size=\"17613824\"] \n  2 -> 3 [size =\"17613824\"]\n  3 [size=\"92995584\", alpha=\"0.08\", expect_size=\"46497792\"] \n  3 -> 4 [size =\"46497792\"]\n  4 [size=\"41314304\", alpha=\"0.10\", expect_size=\"20657152\"] \n  4 -> 5 [size =\"20657152\"]\n  5 [size=\"73789440\", alpha=\"0.19\", expect_size=\"36894720\"] \n  5 -> 6 [size =\"36894720\"]\n  6 [size=\"40384512\", alpha=\"0.12\", expect_size=\"20192256\"] \n  6 -> 7 [size =\"20192256\"]\n  6 -> 8 [size =\"20192256\"]\n  7 [size=\"57520128\", alpha=\"0.01\", expect_size=\"28760064\"] \n  7 -> 9 [size =\"28760064\"]\n  8 [size=\"95311872\", alpha=\"0.01\", expect_size=\"47655936\"] \n  9 [size=\"84492288\", alpha=\"0.13\", expect_size=\"42246144\"] \n  9 -> 10 [size =\"42246144\"]\n  9 -> 11 [size =\"42246144\"]\n  10 [size=\"92694528\", alpha=\"0.14\", expect_size=\"46347264\"] \n  11 [size=\"55625728\", alpha=\"0.07\", expect_size=\"27812864\"] \n  11 -> 12 [size =\"27812864\"]\n  12 [size=\"75100160\", alpha=\"0.06\", expect_size=\"37550080\"] \n  12 -> 13 [size =\"37550080\"]\n  13 [size=\"17952768\", alpha=\"0.16\", expect_size=\"8976384\"] \n  13 -> 14 [size =\"8976384\"]\n  14 [size=\"56985600\", alpha=\"0.17\", expect_size=\"28492800\"] \n  14 -> 15 [size =\"28492800\"]\n  15 [size=\"11075584\", alpha=\"0.13\", expect_size=\"5537792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25719467\", alpha=\"0.01\", expect_size=\"7715840\"] \n  2 [size=\"166359040\", alpha=\"0.19\", expect_size=\"49907712\"] \n  2 -> 13 [size =\"49907712\"]\n  2 -> 15 [size =\"49907712\"]\n  3 [size=\"125665280\", alpha=\"0.16\", expect_size=\"37699584\"] \n  3 -> 13 [size =\"37699584\"]\n  3 -> 15 [size =\"37699584\"]\n  4 [size=\"75980800\", alpha=\"0.09\", expect_size=\"22794240\"] \n  5 [size=\"41809920\", alpha=\"0.02\", expect_size=\"12542976\"] \n  6 [size=\"168676693\", alpha=\"0.04\", expect_size=\"50603008\"] \n  6 -> 13 [size =\"50603008\"]\n  6 -> 14 [size =\"50603008\"]\n  6 -> 15 [size =\"50603008\"]\n  7 [size=\"116445867\", alpha=\"0.15\", expect_size=\"34933760\"] \n  7 -> 13 [size =\"34933760\"]\n  7 -> 15 [size =\"34933760\"]\n  8 [size=\"140373333\", alpha=\"0.03\", expect_size=\"42112000\"] \n  8 -> 12 [size =\"42112000\"]\n  9 [size=\"50435413\", alpha=\"0.10\", expect_size=\"15130624\"] \n  9 -> 12 [size =\"15130624\"]\n  9 -> 15 [size =\"15130624\"]\n  10 [size=\"74724693\", alpha=\"0.08\", expect_size=\"22417408\"] \n  10 -> 12 [size =\"22417408\"]\n  11 [size=\"67068587\", alpha=\"0.09\", expect_size=\"20120576\"] \n  11 -> 12 [size =\"20120576\"]\n  12 [size=\"75912533\", alpha=\"0.01\", expect_size=\"22773760\"] \n  13 [size=\"66798933\", alpha=\"0.06\", expect_size=\"20039680\"] \n  14 [size=\"32310613\", alpha=\"0.14\", expect_size=\"9693184\"] \n  15 [size=\"103236267\", alpha=\"0.07\", expect_size=\"30970880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110881280\", alpha=\"0.16\", expect_size=\"44352512\"] \n  2 [size=\"63221760\", alpha=\"0.04\", expect_size=\"25288704\"] \n  2 -> 4 [size =\"25288704\"]\n  3 [size=\"97024000\", alpha=\"0.13\", expect_size=\"38809600\"] \n  3 -> 5 [size =\"38809600\"]\n  4 [size=\"18229760\", alpha=\"0.10\", expect_size=\"7291904\"] \n  4 -> 6 [size =\"7291904\"]\n  4 -> 7 [size =\"7291904\"]\n  5 [size=\"91614720\", alpha=\"0.15\", expect_size=\"36645888\"] \n  5 -> 8 [size =\"36645888\"]\n  6 [size=\"28226560\", alpha=\"0.10\", expect_size=\"11290624\"] \n  6 -> 9 [size =\"11290624\"]\n  6 -> 10 [size =\"11290624\"]\n  7 [size=\"122667520\", alpha=\"0.13\", expect_size=\"49067008\"] \n  7 -> 11 [size =\"49067008\"]\n  8 [size=\"99450880\", alpha=\"0.10\", expect_size=\"39780352\"] \n  8 -> 10 [size =\"39780352\"]\n  8 -> 11 [size =\"39780352\"]\n  9 [size=\"20392960\", alpha=\"0.15\", expect_size=\"8157184\"] \n  10 [size=\"97899520\", alpha=\"0.14\", expect_size=\"39159808\"] \n  10 -> 12 [size =\"39159808\"]\n  10 -> 13 [size =\"39159808\"]\n  10 -> 14 [size =\"39159808\"]\n  11 [size=\"25640960\", alpha=\"0.14\", expect_size=\"10256384\"] \n  11 -> 14 [size =\"10256384\"]\n  12 [size=\"119777280\", alpha=\"0.10\", expect_size=\"47910912\"] \n  13 [size=\"24803840\", alpha=\"0.12\", expect_size=\"9921536\"] \n  13 -> 15 [size =\"9921536\"]\n  14 [size=\"99947520\", alpha=\"0.01\", expect_size=\"39979008\"] \n  15 [size=\"39651840\", alpha=\"0.02\", expect_size=\"15860736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89029973\", alpha=\"0.00\", expect_size=\"26708992\"] \n  1 -> 2 [size =\"26708992\"]\n  2 [size=\"24231253\", alpha=\"0.18\", expect_size=\"7269376\"] \n  2 -> 3 [size =\"7269376\"]\n  3 [size=\"53046613\", alpha=\"0.15\", expect_size=\"15913984\"] \n  3 -> 4 [size =\"15913984\"]\n  4 [size=\"155217920\", alpha=\"0.11\", expect_size=\"46565376\"] \n  4 -> 5 [size =\"46565376\"]\n  5 [size=\"34556587\", alpha=\"0.02\", expect_size=\"10366976\"] \n  5 -> 6 [size =\"10366976\"]\n  6 [size=\"61023573\", alpha=\"0.04\", expect_size=\"18307072\"] \n  6 -> 7 [size =\"18307072\"]\n  7 [size=\"23138987\", alpha=\"0.10\", expect_size=\"6941696\"] \n  7 -> 8 [size =\"6941696\"]\n  8 [size=\"152937813\", alpha=\"0.12\", expect_size=\"45881344\"] \n  8 -> 9 [size =\"45881344\"]\n  9 [size=\"137891840\", alpha=\"0.08\", expect_size=\"41367552\"] \n  9 -> 10 [size =\"41367552\"]\n  10 [size=\"61296640\", alpha=\"0.11\", expect_size=\"18388992\"] \n  10 -> 11 [size =\"18388992\"]\n  11 [size=\"157767680\", alpha=\"0.08\", expect_size=\"47330304\"] \n  11 -> 12 [size =\"47330304\"]\n  12 [size=\"159191040\", alpha=\"0.15\", expect_size=\"47757312\"] \n  12 -> 13 [size =\"47757312\"]\n  13 [size=\"144640000\", alpha=\"0.15\", expect_size=\"43392000\"] \n  13 -> 14 [size =\"43392000\"]\n  14 [size=\"105697280\", alpha=\"0.06\", expect_size=\"31709184\"] \n  14 -> 15 [size =\"31709184\"]\n  15 [size=\"32163840\", alpha=\"0.13\", expect_size=\"9649152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125964800\", alpha=\"0.05\", expect_size=\"50385920\"] \n  1 -> 9 [size =\"50385920\"]\n  1 -> 10 [size =\"50385920\"]\n  2 [size=\"103715840\", alpha=\"0.00\", expect_size=\"41486336\"] \n  2 -> 7 [size =\"41486336\"]\n  2 -> 9 [size =\"41486336\"]\n  3 [size=\"43535360\", alpha=\"0.17\", expect_size=\"17414144\"] \n  3 -> 7 [size =\"17414144\"]\n  3 -> 8 [size =\"17414144\"]\n  3 -> 9 [size =\"17414144\"]\n  3 -> 10 [size =\"17414144\"]\n  4 [size=\"49699840\", alpha=\"0.02\", expect_size=\"19879936\"] \n  4 -> 6 [size =\"19879936\"]\n  4 -> 7 [size =\"19879936\"]\n  4 -> 10 [size =\"19879936\"]\n  4 -> 10 [size =\"19879936\"]\n  5 [size=\"116277760\", alpha=\"0.11\", expect_size=\"46511104\"] \n  5 -> 7 [size =\"46511104\"]\n  5 -> 9 [size =\"46511104\"]\n  5 -> 11 [size =\"46511104\"]\n  6 [size=\"63833600\", alpha=\"0.01\", expect_size=\"25533440\"] \n  7 [size=\"111662080\", alpha=\"0.10\", expect_size=\"44664832\"] \n  8 [size=\"52741120\", alpha=\"0.09\", expect_size=\"21096448\"] \n  8 -> 13 [size =\"21096448\"]\n  8 -> 14 [size =\"21096448\"]\n  9 [size=\"13207040\", alpha=\"0.05\", expect_size=\"5282816\"] \n  9 -> 12 [size =\"5282816\"]\n  9 -> 14 [size =\"5282816\"]\n  9 -> 15 [size =\"5282816\"]\n  10 [size=\"73310720\", alpha=\"0.03\", expect_size=\"29324288\"] \n  10 -> 15 [size =\"29324288\"]\n  11 [size=\"116313600\", alpha=\"0.06\", expect_size=\"46525440\"] \n  11 -> 13 [size =\"46525440\"]\n  11 -> 15 [size =\"46525440\"]\n  12 [size=\"29839360\", alpha=\"0.10\", expect_size=\"11935744\"] \n  13 [size=\"31646720\", alpha=\"0.07\", expect_size=\"12658688\"] \n  14 [size=\"130352640\", alpha=\"0.02\", expect_size=\"52141056\"] \n  15 [size=\"23754240\", alpha=\"0.16\", expect_size=\"9501696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85991424\", alpha=\"0.01\", expect_size=\"42995712\"] \n  1 -> 2 [size =\"42995712\"]\n  2 [size=\"88221696\", alpha=\"0.14\", expect_size=\"44110848\"] \n  2 -> 3 [size =\"44110848\"]\n  3 [size=\"53180416\", alpha=\"0.15\", expect_size=\"26590208\"] \n  3 -> 4 [size =\"26590208\"]\n  4 [size=\"86460416\", alpha=\"0.18\", expect_size=\"43230208\"] \n  4 -> 5 [size =\"43230208\"]\n  5 [size=\"48549888\", alpha=\"0.17\", expect_size=\"24274944\"] \n  5 -> 6 [size =\"24274944\"]\n  6 [size=\"34623488\", alpha=\"0.12\", expect_size=\"17311744\"] \n  6 -> 7 [size =\"17311744\"]\n  7 [size=\"31981568\", alpha=\"0.03\", expect_size=\"15990784\"] \n  7 -> 8 [size =\"15990784\"]\n  8 [size=\"51914752\", alpha=\"0.09\", expect_size=\"25957376\"] \n  8 -> 9 [size =\"25957376\"]\n  9 [size=\"16947200\", alpha=\"0.16\", expect_size=\"8473600\"] \n  9 -> 10 [size =\"8473600\"]\n  10 [size=\"79648768\", alpha=\"0.13\", expect_size=\"39824384\"] \n  10 -> 11 [size =\"39824384\"]\n  11 [size=\"87605248\", alpha=\"0.05\", expect_size=\"43802624\"] \n  11 -> 12 [size =\"43802624\"]\n  12 [size=\"94359552\", alpha=\"0.15\", expect_size=\"47179776\"] \n  12 -> 13 [size =\"47179776\"]\n  13 [size=\"66379776\", alpha=\"0.11\", expect_size=\"33189888\"] \n  13 -> 14 [size =\"33189888\"]\n  14 [size=\"42299392\", alpha=\"0.11\", expect_size=\"21149696\"] \n  14 -> 15 [size =\"21149696\"]\n  15 [size=\"31082496\", alpha=\"0.15\", expect_size=\"15541248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100706987\", alpha=\"0.15\", expect_size=\"30212096\"] \n  1 -> 2 [size =\"30212096\"]\n  2 [size=\"108400640\", alpha=\"0.20\", expect_size=\"32520192\"] \n  2 -> 3 [size =\"32520192\"]\n  3 [size=\"39570773\", alpha=\"0.05\", expect_size=\"11871232\"] \n  3 -> 4 [size =\"11871232\"]\n  4 [size=\"94293333\", alpha=\"0.05\", expect_size=\"28288000\"] \n  4 -> 5 [size =\"28288000\"]\n  5 [size=\"129218560\", alpha=\"0.06\", expect_size=\"38765568\"] \n  5 -> 6 [size =\"38765568\"]\n  6 [size=\"95829333\", alpha=\"0.01\", expect_size=\"28748800\"] \n  6 -> 7 [size =\"28748800\"]\n  7 [size=\"100188160\", alpha=\"0.02\", expect_size=\"30056448\"] \n  7 -> 8 [size =\"30056448\"]\n  8 [size=\"41390080\", alpha=\"0.13\", expect_size=\"12417024\"] \n  8 -> 9 [size =\"12417024\"]\n  9 [size=\"21940907\", alpha=\"0.16\", expect_size=\"6582272\"] \n  9 -> 10 [size =\"6582272\"]\n  10 [size=\"157487787\", alpha=\"0.04\", expect_size=\"47246336\"] \n  10 -> 11 [size =\"47246336\"]\n  11 [size=\"60576427\", alpha=\"0.09\", expect_size=\"18172928\"] \n  11 -> 12 [size =\"18172928\"]\n  12 [size=\"19138560\", alpha=\"0.03\", expect_size=\"5741568\"] \n  12 -> 13 [size =\"5741568\"]\n  13 [size=\"18991787\", alpha=\"0.10\", expect_size=\"5697536\"] \n  13 -> 14 [size =\"5697536\"]\n  14 [size=\"57060693\", alpha=\"0.03\", expect_size=\"17118208\"] \n  14 -> 15 [size =\"17118208\"]\n  15 [size=\"93736960\", alpha=\"0.15\", expect_size=\"28121088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63383040\", alpha=\"0.01\", expect_size=\"25353216\"] \n  1 -> 2 [size =\"25353216\"]\n  2 [size=\"39695360\", alpha=\"0.12\", expect_size=\"15878144\"] \n  2 -> 3 [size =\"15878144\"]\n  2 -> 4 [size =\"15878144\"]\n  3 [size=\"97684480\", alpha=\"0.07\", expect_size=\"39073792\"] \n  4 [size=\"80171520\", alpha=\"0.10\", expect_size=\"32068608\"] \n  4 -> 5 [size =\"32068608\"]\n  5 [size=\"45288960\", alpha=\"0.06\", expect_size=\"18115584\"] \n  5 -> 6 [size =\"18115584\"]\n  5 -> 7 [size =\"18115584\"]\n  6 [size=\"107937280\", alpha=\"0.00\", expect_size=\"43174912\"] \n  7 [size=\"130890240\", alpha=\"0.02\", expect_size=\"52356096\"] \n  7 -> 8 [size =\"52356096\"]\n  8 [size=\"81164800\", alpha=\"0.20\", expect_size=\"32465920\"] \n  8 -> 9 [size =\"32465920\"]\n  8 -> 10 [size =\"32465920\"]\n  9 [size=\"99363840\", alpha=\"0.08\", expect_size=\"39745536\"] \n  10 [size=\"127933440\", alpha=\"0.15\", expect_size=\"51173376\"] \n  10 -> 11 [size =\"51173376\"]\n  11 [size=\"67809280\", alpha=\"0.15\", expect_size=\"27123712\"] \n  11 -> 12 [size =\"27123712\"]\n  12 [size=\"76090880\", alpha=\"0.04\", expect_size=\"30436352\"] \n  12 -> 13 [size =\"30436352\"]\n  13 [size=\"29324800\", alpha=\"0.10\", expect_size=\"11729920\"] \n  13 -> 14 [size =\"11729920\"]\n  14 [size=\"70929920\", alpha=\"0.05\", expect_size=\"28371968\"] \n  14 -> 15 [size =\"28371968\"]\n  15 [size=\"129064960\", alpha=\"0.04\", expect_size=\"51625984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31139840\", alpha=\"0.03\", expect_size=\"12455936\"] \n  1 -> 2 [size =\"12455936\"]\n  2 [size=\"85537280\", alpha=\"0.00\", expect_size=\"34214912\"] \n  2 -> 3 [size =\"34214912\"]\n  3 [size=\"35576320\", alpha=\"0.05\", expect_size=\"14230528\"] \n  3 -> 4 [size =\"14230528\"]\n  4 [size=\"101463040\", alpha=\"0.15\", expect_size=\"40585216\"] \n  4 -> 5 [size =\"40585216\"]\n  5 [size=\"38599680\", alpha=\"0.13\", expect_size=\"15439872\"] \n  5 -> 6 [size =\"15439872\"]\n  6 [size=\"102379520\", alpha=\"0.11\", expect_size=\"40951808\"] \n  6 -> 7 [size =\"40951808\"]\n  7 [size=\"65776640\", alpha=\"0.17\", expect_size=\"26310656\"] \n  7 -> 8 [size =\"26310656\"]\n  8 [size=\"77921280\", alpha=\"0.06\", expect_size=\"31168512\"] \n  8 -> 9 [size =\"31168512\"]\n  9 [size=\"61575680\", alpha=\"0.14\", expect_size=\"24630272\"] \n  9 -> 10 [size =\"24630272\"]\n  10 [size=\"40788480\", alpha=\"0.16\", expect_size=\"16315392\"] \n  10 -> 11 [size =\"16315392\"]\n  11 [size=\"48412160\", alpha=\"0.12\", expect_size=\"19364864\"] \n  11 -> 12 [size =\"19364864\"]\n  12 [size=\"65518080\", alpha=\"0.15\", expect_size=\"26207232\"] \n  12 -> 13 [size =\"26207232\"]\n  13 [size=\"66959360\", alpha=\"0.19\", expect_size=\"26783744\"] \n  13 -> 14 [size =\"26783744\"]\n  14 [size=\"96675840\", alpha=\"0.07\", expect_size=\"38670336\"] \n  14 -> 15 [size =\"38670336\"]\n  15 [size=\"66798080\", alpha=\"0.19\", expect_size=\"26719232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84791296\", alpha=\"0.03\", expect_size=\"42395648\"] \n  1 -> 14 [size =\"42395648\"]\n  1 -> 15 [size =\"42395648\"]\n  2 [size=\"13850624\", alpha=\"0.11\", expect_size=\"6925312\"] \n  2 -> 14 [size =\"6925312\"]\n  2 -> 15 [size =\"6925312\"]\n  3 [size=\"54079488\", alpha=\"0.18\", expect_size=\"27039744\"] \n  3 -> 14 [size =\"27039744\"]\n  4 [size=\"70443008\", alpha=\"0.13\", expect_size=\"35221504\"] \n  4 -> 13 [size =\"35221504\"]\n  4 -> 15 [size =\"35221504\"]\n  5 [size=\"60835840\", alpha=\"0.13\", expect_size=\"30417920\"] \n  5 -> 12 [size =\"30417920\"]\n  5 -> 14 [size =\"30417920\"]\n  5 -> 15 [size =\"30417920\"]\n  6 [size=\"72472576\", alpha=\"0.19\", expect_size=\"36236288\"] \n  6 -> 15 [size =\"36236288\"]\n  7 [size=\"23451648\", alpha=\"0.01\", expect_size=\"11725824\"] \n  7 -> 14 [size =\"11725824\"]\n  7 -> 15 [size =\"11725824\"]\n  8 [size=\"54964224\", alpha=\"0.17\", expect_size=\"27482112\"] \n  8 -> 13 [size =\"27482112\"]\n  8 -> 14 [size =\"27482112\"]\n  8 -> 15 [size =\"27482112\"]\n  9 [size=\"23650304\", alpha=\"0.06\", expect_size=\"11825152\"] \n  9 -> 14 [size =\"11825152\"]\n  10 [size=\"34043904\", alpha=\"0.04\", expect_size=\"17021952\"] \n  10 -> 14 [size =\"17021952\"]\n  11 [size=\"56006656\", alpha=\"0.14\", expect_size=\"28003328\"] \n  11 -> 14 [size =\"28003328\"]\n  12 [size=\"68333568\", alpha=\"0.08\", expect_size=\"34166784\"] \n  13 [size=\"27748352\", alpha=\"0.16\", expect_size=\"13874176\"] \n  14 [size=\"19281920\", alpha=\"0.07\", expect_size=\"9640960\"] \n  15 [size=\"82722816\", alpha=\"0.08\", expect_size=\"41361408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52096000\", alpha=\"0.00\", expect_size=\"20838400\"] \n  2 [size=\"69624320\", alpha=\"0.14\", expect_size=\"27849728\"] \n  2 -> 3 [size =\"27849728\"]\n  3 [size=\"56962560\", alpha=\"0.16\", expect_size=\"22785024\"] \n  3 -> 4 [size =\"22785024\"]\n  4 [size=\"58972160\", alpha=\"0.14\", expect_size=\"23588864\"] \n  4 -> 5 [size =\"23588864\"]\n  5 [size=\"89134080\", alpha=\"0.11\", expect_size=\"35653632\"] \n  5 -> 6 [size =\"35653632\"]\n  6 [size=\"68546560\", alpha=\"0.08\", expect_size=\"27418624\"] \n  6 -> 7 [size =\"27418624\"]\n  7 [size=\"35079680\", alpha=\"0.09\", expect_size=\"14031872\"] \n  7 -> 8 [size =\"14031872\"]\n  8 [size=\"81377280\", alpha=\"0.19\", expect_size=\"32550912\"] \n  8 -> 9 [size =\"32550912\"]\n  8 -> 10 [size =\"32550912\"]\n  9 [size=\"19665920\", alpha=\"0.12\", expect_size=\"7866368\"] \n  9 -> 11 [size =\"7866368\"]\n  10 [size=\"28190720\", alpha=\"0.01\", expect_size=\"11276288\"] \n  10 -> 11 [size =\"11276288\"]\n  11 [size=\"82242560\", alpha=\"0.06\", expect_size=\"32897024\"] \n  11 -> 12 [size =\"32897024\"]\n  11 -> 13 [size =\"32897024\"]\n  12 [size=\"84075520\", alpha=\"0.07\", expect_size=\"33630208\"] \n  12 -> 14 [size =\"33630208\"]\n  13 [size=\"46786560\", alpha=\"0.02\", expect_size=\"18714624\"] \n  13 -> 14 [size =\"18714624\"]\n  14 [size=\"20879360\", alpha=\"0.12\", expect_size=\"8351744\"] \n  14 -> 15 [size =\"8351744\"]\n  15 [size=\"104824320\", alpha=\"0.18\", expect_size=\"41929728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174728533\", alpha=\"0.07\", expect_size=\"52418560\"] \n  2 [size=\"162358613\", alpha=\"0.05\", expect_size=\"48707584\"] \n  2 -> 13 [size =\"48707584\"]\n  2 -> 14 [size =\"48707584\"]\n  2 -> 15 [size =\"48707584\"]\n  3 [size=\"46817280\", alpha=\"0.09\", expect_size=\"14045184\"] \n  3 -> 14 [size =\"14045184\"]\n  4 [size=\"62477653\", alpha=\"0.08\", expect_size=\"18743296\"] \n  4 -> 12 [size =\"18743296\"]\n  4 -> 14 [size =\"18743296\"]\n  4 -> 15 [size =\"18743296\"]\n  5 [size=\"18070187\", alpha=\"0.18\", expect_size=\"5421056\"] \n  5 -> 12 [size =\"5421056\"]\n  5 -> 13 [size =\"5421056\"]\n  6 [size=\"51838293\", alpha=\"0.02\", expect_size=\"15551488\"] \n  6 -> 12 [size =\"15551488\"]\n  7 [size=\"164113067\", alpha=\"0.08\", expect_size=\"49233920\"] \n  7 -> 13 [size =\"49233920\"]\n  8 [size=\"168826880\", alpha=\"0.15\", expect_size=\"50648064\"] \n  8 -> 13 [size =\"50648064\"]\n  9 [size=\"172598613\", alpha=\"0.13\", expect_size=\"51779584\"] \n  9 -> 13 [size =\"51779584\"]\n  9 -> 15 [size =\"51779584\"]\n  10 [size=\"98331307\", alpha=\"0.10\", expect_size=\"29499392\"] \n  10 -> 13 [size =\"29499392\"]\n  11 [size=\"159143253\", alpha=\"0.06\", expect_size=\"47742976\"] \n  11 -> 12 [size =\"47742976\"]\n  11 -> 13 [size =\"47742976\"]\n  12 [size=\"59839147\", alpha=\"0.08\", expect_size=\"17951744\"] \n  13 [size=\"99515733\", alpha=\"0.14\", expect_size=\"29854720\"] \n  14 [size=\"170417493\", alpha=\"0.07\", expect_size=\"51125248\"] \n  15 [size=\"73280853\", alpha=\"0.05\", expect_size=\"21984256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111024640\", alpha=\"0.16\", expect_size=\"44409856\"] \n  1 -> 5 [size =\"44409856\"]\n  2 [size=\"125450240\", alpha=\"0.02\", expect_size=\"50180096\"] \n  2 -> 4 [size =\"50180096\"]\n  2 -> 5 [size =\"50180096\"]\n  3 [size=\"123891200\", alpha=\"0.10\", expect_size=\"49556480\"] \n  3 -> 4 [size =\"49556480\"]\n  3 -> 5 [size =\"49556480\"]\n  4 [size=\"110067200\", alpha=\"0.15\", expect_size=\"44026880\"] \n  4 -> 6 [size =\"44026880\"]\n  5 [size=\"30835200\", alpha=\"0.12\", expect_size=\"12334080\"] \n  5 -> 6 [size =\"12334080\"]\n  6 [size=\"85419520\", alpha=\"0.04\", expect_size=\"34167808\"] \n  6 -> 7 [size =\"34167808\"]\n  6 -> 8 [size =\"34167808\"]\n  6 -> 9 [size =\"34167808\"]\n  6 -> 10 [size =\"34167808\"]\n  7 [size=\"80596480\", alpha=\"0.08\", expect_size=\"32238592\"] \n  7 -> 11 [size =\"32238592\"]\n  8 [size=\"44198400\", alpha=\"0.03\", expect_size=\"17679360\"] \n  8 -> 11 [size =\"17679360\"]\n  8 -> 12 [size =\"17679360\"]\n  9 [size=\"91535360\", alpha=\"0.07\", expect_size=\"36614144\"] \n  9 -> 11 [size =\"36614144\"]\n  10 [size=\"104089600\", alpha=\"0.12\", expect_size=\"41635840\"] \n  11 [size=\"88081920\", alpha=\"0.09\", expect_size=\"35232768\"] \n  11 -> 13 [size =\"35232768\"]\n  11 -> 14 [size =\"35232768\"]\n  11 -> 15 [size =\"35232768\"]\n  12 [size=\"64396800\", alpha=\"0.08\", expect_size=\"25758720\"] \n  12 -> 13 [size =\"25758720\"]\n  12 -> 14 [size =\"25758720\"]\n  13 [size=\"77591040\", alpha=\"0.08\", expect_size=\"31036416\"] \n  14 [size=\"17336320\", alpha=\"0.03\", expect_size=\"6934528\"] \n  15 [size=\"105766400\", alpha=\"0.02\", expect_size=\"42306560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112523947\", alpha=\"0.11\", expect_size=\"33757184\"] \n  1 -> 6 [size =\"33757184\"]\n  2 [size=\"85418667\", alpha=\"0.02\", expect_size=\"25625600\"] \n  2 -> 6 [size =\"25625600\"]\n  2 -> 7 [size =\"25625600\"]\n  3 [size=\"94286507\", alpha=\"0.05\", expect_size=\"28285952\"] \n  3 -> 5 [size =\"28285952\"]\n  3 -> 6 [size =\"28285952\"]\n  4 [size=\"31522133\", alpha=\"0.15\", expect_size=\"9456640\"] \n  4 -> 5 [size =\"9456640\"]\n  4 -> 7 [size =\"9456640\"]\n  5 [size=\"36075520\", alpha=\"0.01\", expect_size=\"10822656\"] \n  5 -> 8 [size =\"10822656\"]\n  5 -> 10 [size =\"10822656\"]\n  5 -> 11 [size =\"10822656\"]\n  6 [size=\"136413867\", alpha=\"0.04\", expect_size=\"40924160\"] \n  6 -> 8 [size =\"40924160\"]\n  6 -> 10 [size =\"40924160\"]\n  6 -> 11 [size =\"40924160\"]\n  7 [size=\"126341120\", alpha=\"0.10\", expect_size=\"37902336\"] \n  7 -> 8 [size =\"37902336\"]\n  7 -> 9 [size =\"37902336\"]\n  7 -> 10 [size =\"37902336\"]\n  7 -> 11 [size =\"37902336\"]\n  8 [size=\"123204267\", alpha=\"0.03\", expect_size=\"36961280\"] \n  8 -> 12 [size =\"36961280\"]\n  8 -> 13 [size =\"36961280\"]\n  8 -> 14 [size =\"36961280\"]\n  9 [size=\"23057067\", alpha=\"0.08\", expect_size=\"6917120\"] \n  9 -> 12 [size =\"6917120\"]\n  9 -> 15 [size =\"6917120\"]\n  10 [size=\"67375787\", alpha=\"0.12\", expect_size=\"20212736\"] \n  10 -> 12 [size =\"20212736\"]\n  10 -> 14 [size =\"20212736\"]\n  10 -> 15 [size =\"20212736\"]\n  11 [size=\"158890667\", alpha=\"0.08\", expect_size=\"47667200\"] \n  11 -> 12 [size =\"47667200\"]\n  11 -> 14 [size =\"47667200\"]\n  11 -> 15 [size =\"47667200\"]\n  12 [size=\"87825067\", alpha=\"0.06\", expect_size=\"26347520\"] \n  13 [size=\"106209280\", alpha=\"0.15\", expect_size=\"31862784\"] \n  14 [size=\"143305387\", alpha=\"0.14\", expect_size=\"42991616\"] \n  15 [size=\"101474987\", alpha=\"0.09\", expect_size=\"30442496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137547093\", alpha=\"0.04\", expect_size=\"41264128\"] \n  2 [size=\"89890133\", alpha=\"0.10\", expect_size=\"26967040\"] \n  2 -> 3 [size =\"26967040\"]\n  3 [size=\"145250987\", alpha=\"0.02\", expect_size=\"43575296\"] \n  3 -> 4 [size =\"43575296\"]\n  4 [size=\"76663467\", alpha=\"0.02\", expect_size=\"22999040\"] \n  4 -> 5 [size =\"22999040\"]\n  5 [size=\"127685973\", alpha=\"0.03\", expect_size=\"38305792\"] \n  5 -> 6 [size =\"38305792\"]\n  5 -> 7 [size =\"38305792\"]\n  6 [size=\"136816640\", alpha=\"0.05\", expect_size=\"41044992\"] \n  6 -> 8 [size =\"41044992\"]\n  7 [size=\"82541227\", alpha=\"0.15\", expect_size=\"24762368\"] \n  8 [size=\"140462080\", alpha=\"0.19\", expect_size=\"42138624\"] \n  8 -> 9 [size =\"42138624\"]\n  8 -> 10 [size =\"42138624\"]\n  9 [size=\"136785920\", alpha=\"0.15\", expect_size=\"41035776\"] \n  9 -> 11 [size =\"41035776\"]\n  10 [size=\"141038933\", alpha=\"0.01\", expect_size=\"42311680\"] \n  10 -> 11 [size =\"42311680\"]\n  11 [size=\"64474453\", alpha=\"0.12\", expect_size=\"19342336\"] \n  11 -> 12 [size =\"19342336\"]\n  12 [size=\"95914667\", alpha=\"0.05\", expect_size=\"28774400\"] \n  12 -> 13 [size =\"28774400\"]\n  13 [size=\"172970667\", alpha=\"0.04\", expect_size=\"51891200\"] \n  13 -> 14 [size =\"51891200\"]\n  13 -> 15 [size =\"51891200\"]\n  14 [size=\"29839360\", alpha=\"0.00\", expect_size=\"8951808\"] \n  15 [size=\"47144960\", alpha=\"0.00\", expect_size=\"14143488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22630400\", alpha=\"0.17\", expect_size=\"6789120\"] \n  1 -> 2 [size =\"6789120\"]\n  2 [size=\"65293653\", alpha=\"0.02\", expect_size=\"19588096\"] \n  2 -> 3 [size =\"19588096\"]\n  3 [size=\"151729493\", alpha=\"0.16\", expect_size=\"45518848\"] \n  3 -> 4 [size =\"45518848\"]\n  4 [size=\"82582187\", alpha=\"0.19\", expect_size=\"24774656\"] \n  4 -> 5 [size =\"24774656\"]\n  4 -> 6 [size =\"24774656\"]\n  5 [size=\"19930453\", alpha=\"0.19\", expect_size=\"5979136\"] \n  6 [size=\"112445440\", alpha=\"0.19\", expect_size=\"33733632\"] \n  6 -> 7 [size =\"33733632\"]\n  6 -> 8 [size =\"33733632\"]\n  7 [size=\"83940693\", alpha=\"0.07\", expect_size=\"25182208\"] \n  7 -> 9 [size =\"25182208\"]\n  7 -> 10 [size =\"25182208\"]\n  8 [size=\"118275413\", alpha=\"0.16\", expect_size=\"35482624\"] \n  9 [size=\"18548053\", alpha=\"0.10\", expect_size=\"5564416\"] \n  9 -> 11 [size =\"5564416\"]\n  10 [size=\"18042880\", alpha=\"0.12\", expect_size=\"5412864\"] \n  10 -> 12 [size =\"5412864\"]\n  11 [size=\"169216000\", alpha=\"0.14\", expect_size=\"50764800\"] \n  11 -> 13 [size =\"50764800\"]\n  12 [size=\"145298773\", alpha=\"0.03\", expect_size=\"43589632\"] \n  13 [size=\"158047573\", alpha=\"0.20\", expect_size=\"47414272\"] \n  13 -> 14 [size =\"47414272\"]\n  13 -> 15 [size =\"47414272\"]\n  14 [size=\"128416427\", alpha=\"0.00\", expect_size=\"38524928\"] \n  15 [size=\"119173120\", alpha=\"0.09\", expect_size=\"35751936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12912640\", alpha=\"0.04\", expect_size=\"6456320\"] \n  1 -> 14 [size =\"6456320\"]\n  1 -> 15 [size =\"6456320\"]\n  2 [size=\"22607872\", alpha=\"0.04\", expect_size=\"11303936\"] \n  2 -> 14 [size =\"11303936\"]\n  2 -> 15 [size =\"11303936\"]\n  3 [size=\"33140736\", alpha=\"0.11\", expect_size=\"16570368\"] \n  3 -> 11 [size =\"16570368\"]\n  3 -> 14 [size =\"16570368\"]\n  4 [size=\"95707136\", alpha=\"0.08\", expect_size=\"47853568\"] \n  4 -> 11 [size =\"47853568\"]\n  4 -> 13 [size =\"47853568\"]\n  4 -> 14 [size =\"47853568\"]\n  5 [size=\"97019904\", alpha=\"0.04\", expect_size=\"48509952\"] \n  5 -> 11 [size =\"48509952\"]\n  6 [size=\"91381760\", alpha=\"0.14\", expect_size=\"45690880\"] \n  6 -> 14 [size =\"45690880\"]\n  6 -> 15 [size =\"45690880\"]\n  7 [size=\"24698880\", alpha=\"0.18\", expect_size=\"12349440\"] \n  7 -> 12 [size =\"12349440\"]\n  7 -> 15 [size =\"12349440\"]\n  8 [size=\"73381888\", alpha=\"0.11\", expect_size=\"36690944\"] \n  8 -> 12 [size =\"36690944\"]\n  8 -> 13 [size =\"36690944\"]\n  9 [size=\"64729088\", alpha=\"0.02\", expect_size=\"32364544\"] \n  10 [size=\"70957056\", alpha=\"0.10\", expect_size=\"35478528\"] \n  10 -> 11 [size =\"35478528\"]\n  10 -> 12 [size =\"35478528\"]\n  11 [size=\"72306688\", alpha=\"0.10\", expect_size=\"36153344\"] \n  12 [size=\"91676672\", alpha=\"0.05\", expect_size=\"45838336\"] \n  13 [size=\"16011264\", alpha=\"0.17\", expect_size=\"8005632\"] \n  14 [size=\"67022848\", alpha=\"0.10\", expect_size=\"33511424\"] \n  15 [size=\"104261632\", alpha=\"0.20\", expect_size=\"52130816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37123413\", alpha=\"0.19\", expect_size=\"11137024\"] \n  1 -> 4 [size =\"11137024\"]\n  1 -> 5 [size =\"11137024\"]\n  2 [size=\"126382080\", alpha=\"0.09\", expect_size=\"37914624\"] \n  2 -> 3 [size =\"37914624\"]\n  2 -> 4 [size =\"37914624\"]\n  3 [size=\"91398827\", alpha=\"0.19\", expect_size=\"27419648\"] \n  3 -> 6 [size =\"27419648\"]\n  3 -> 7 [size =\"27419648\"]\n  4 [size=\"38642347\", alpha=\"0.19\", expect_size=\"11592704\"] \n  4 -> 7 [size =\"11592704\"]\n  4 -> 8 [size =\"11592704\"]\n  5 [size=\"99611307\", alpha=\"0.05\", expect_size=\"29883392\"] \n  5 -> 8 [size =\"29883392\"]\n  6 [size=\"51210240\", alpha=\"0.19\", expect_size=\"15363072\"] \n  6 -> 9 [size =\"15363072\"]\n  6 -> 10 [size =\"15363072\"]\n  7 [size=\"36051627\", alpha=\"0.02\", expect_size=\"10815488\"] \n  7 -> 9 [size =\"10815488\"]\n  7 -> 10 [size =\"10815488\"]\n  8 [size=\"139776000\", alpha=\"0.14\", expect_size=\"41932800\"] \n  9 [size=\"34945707\", alpha=\"0.07\", expect_size=\"10483712\"] \n  9 -> 12 [size =\"10483712\"]\n  10 [size=\"55517867\", alpha=\"0.08\", expect_size=\"16655360\"] \n  10 -> 11 [size =\"16655360\"]\n  11 [size=\"43827200\", alpha=\"0.18\", expect_size=\"13148160\"] \n  11 -> 13 [size =\"13148160\"]\n  12 [size=\"32382293\", alpha=\"0.11\", expect_size=\"9714688\"] \n  12 -> 13 [size =\"9714688\"]\n  12 -> 14 [size =\"9714688\"]\n  13 [size=\"103004160\", alpha=\"0.18\", expect_size=\"30901248\"] \n  13 -> 15 [size =\"30901248\"]\n  14 [size=\"93265920\", alpha=\"0.03\", expect_size=\"27979776\"] \n  14 -> 15 [size =\"27979776\"]\n  15 [size=\"85736107\", alpha=\"0.16\", expect_size=\"25720832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87488000\", alpha=\"0.01\", expect_size=\"34995200\"] \n  1 -> 12 [size =\"34995200\"]\n  1 -> 14 [size =\"34995200\"]\n  2 [size=\"21340160\", alpha=\"0.06\", expect_size=\"8536064\"] \n  2 -> 12 [size =\"8536064\"]\n  2 -> 13 [size =\"8536064\"]\n  2 -> 14 [size =\"8536064\"]\n  3 [size=\"113489920\", alpha=\"0.11\", expect_size=\"45395968\"] \n  3 -> 12 [size =\"45395968\"]\n  3 -> 14 [size =\"45395968\"]\n  4 [size=\"39892480\", alpha=\"0.10\", expect_size=\"15956992\"] \n  4 -> 12 [size =\"15956992\"]\n  4 -> 14 [size =\"15956992\"]\n  4 -> 15 [size =\"15956992\"]\n  5 [size=\"119367680\", alpha=\"0.01\", expect_size=\"47747072\"] \n  5 -> 12 [size =\"47747072\"]\n  6 [size=\"117721600\", alpha=\"0.11\", expect_size=\"47088640\"] \n  6 -> 13 [size =\"47088640\"]\n  6 -> 15 [size =\"47088640\"]\n  7 [size=\"48138240\", alpha=\"0.06\", expect_size=\"19255296\"] \n  7 -> 12 [size =\"19255296\"]\n  7 -> 13 [size =\"19255296\"]\n  8 [size=\"61588480\", alpha=\"0.10\", expect_size=\"24635392\"] \n  8 -> 12 [size =\"24635392\"]\n  8 -> 13 [size =\"24635392\"]\n  9 [size=\"71767040\", alpha=\"0.15\", expect_size=\"28706816\"] \n  9 -> 13 [size =\"28706816\"]\n  9 -> 13 [size =\"28706816\"]\n  10 [size=\"104194560\", alpha=\"0.08\", expect_size=\"41677824\"] \n  10 -> 12 [size =\"41677824\"]\n  10 -> 13 [size =\"41677824\"]\n  11 [size=\"26480640\", alpha=\"0.01\", expect_size=\"10592256\"] \n  11 -> 12 [size =\"10592256\"]\n  12 [size=\"35215360\", alpha=\"0.10\", expect_size=\"14086144\"] \n  13 [size=\"69301760\", alpha=\"0.16\", expect_size=\"27720704\"] \n  14 [size=\"17395200\", alpha=\"0.14\", expect_size=\"6958080\"] \n  15 [size=\"76188160\", alpha=\"0.03\", expect_size=\"30475264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148125013\", alpha=\"0.18\", expect_size=\"44437504\"] \n  1 -> 2 [size =\"44437504\"]\n  2 [size=\"168676693\", alpha=\"0.09\", expect_size=\"50603008\"] \n  2 -> 3 [size =\"50603008\"]\n  3 [size=\"136263680\", alpha=\"0.03\", expect_size=\"40879104\"] \n  3 -> 4 [size =\"40879104\"]\n  4 [size=\"67426987\", alpha=\"0.08\", expect_size=\"20228096\"] \n  4 -> 5 [size =\"20228096\"]\n  5 [size=\"111592107\", alpha=\"0.18\", expect_size=\"33477632\"] \n  5 -> 6 [size =\"33477632\"]\n  6 [size=\"24398507\", alpha=\"0.11\", expect_size=\"7319552\"] \n  6 -> 7 [size =\"7319552\"]\n  7 [size=\"140096853\", alpha=\"0.00\", expect_size=\"42029056\"] \n  7 -> 8 [size =\"42029056\"]\n  8 [size=\"63204693\", alpha=\"0.08\", expect_size=\"18961408\"] \n  8 -> 9 [size =\"18961408\"]\n  9 [size=\"135819947\", alpha=\"0.20\", expect_size=\"40745984\"] \n  9 -> 10 [size =\"40745984\"]\n  10 [size=\"65140053\", alpha=\"0.02\", expect_size=\"19542016\"] \n  10 -> 11 [size =\"19542016\"]\n  11 [size=\"46878720\", alpha=\"0.00\", expect_size=\"14063616\"] \n  11 -> 12 [size =\"14063616\"]\n  12 [size=\"33590613\", alpha=\"0.08\", expect_size=\"10077184\"] \n  12 -> 13 [size =\"10077184\"]\n  13 [size=\"103144107\", alpha=\"0.02\", expect_size=\"30943232\"] \n  13 -> 14 [size =\"30943232\"]\n  14 [size=\"127406080\", alpha=\"0.01\", expect_size=\"38221824\"] \n  14 -> 15 [size =\"38221824\"]\n  15 [size=\"35966293\", alpha=\"0.11\", expect_size=\"10789888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50380800\", alpha=\"0.19\", expect_size=\"25190400\"] \n  1 -> 7 [size =\"25190400\"]\n  1 -> 8 [size =\"25190400\"]\n  2 [size=\"93556736\", alpha=\"0.11\", expect_size=\"46778368\"] \n  2 -> 7 [size =\"46778368\"]\n  2 -> 8 [size =\"46778368\"]\n  2 -> 9 [size =\"46778368\"]\n  3 [size=\"70230016\", alpha=\"0.17\", expect_size=\"35115008\"] \n  3 -> 7 [size =\"35115008\"]\n  3 -> 8 [size =\"35115008\"]\n  3 -> 9 [size =\"35115008\"]\n  3 -> 10 [size =\"35115008\"]\n  4 [size=\"15403008\", alpha=\"0.07\", expect_size=\"7701504\"] \n  4 -> 6 [size =\"7701504\"]\n  4 -> 8 [size =\"7701504\"]\n  5 [size=\"81338368\", alpha=\"0.19\", expect_size=\"40669184\"] \n  5 -> 6 [size =\"40669184\"]\n  5 -> 8 [size =\"40669184\"]\n  5 -> 9 [size =\"40669184\"]\n  6 [size=\"90607616\", alpha=\"0.12\", expect_size=\"45303808\"] \n  6 -> 11 [size =\"45303808\"]\n  6 -> 13 [size =\"45303808\"]\n  6 -> 14 [size =\"45303808\"]\n  6 -> 15 [size =\"45303808\"]\n  7 [size=\"92151808\", alpha=\"0.18\", expect_size=\"46075904\"] \n  7 -> 11 [size =\"46075904\"]\n  7 -> 14 [size =\"46075904\"]\n  7 -> 15 [size =\"46075904\"]\n  8 [size=\"36800512\", alpha=\"0.07\", expect_size=\"18400256\"] \n  8 -> 11 [size =\"18400256\"]\n  8 -> 12 [size =\"18400256\"]\n  8 -> 13 [size =\"18400256\"]\n  9 [size=\"56905728\", alpha=\"0.11\", expect_size=\"28452864\"] \n  9 -> 11 [size =\"28452864\"]\n  9 -> 13 [size =\"28452864\"]\n  9 -> 15 [size =\"28452864\"]\n  10 [size=\"36810752\", alpha=\"0.00\", expect_size=\"18405376\"] \n  10 -> 11 [size =\"18405376\"]\n  10 -> 12 [size =\"18405376\"]\n  10 -> 14 [size =\"18405376\"]\n  10 -> 15 [size =\"18405376\"]\n  11 [size=\"69007360\", alpha=\"0.17\", expect_size=\"34503680\"] \n  12 [size=\"64573440\", alpha=\"0.06\", expect_size=\"32286720\"] \n  13 [size=\"24252416\", alpha=\"0.18\", expect_size=\"12126208\"] \n  14 [size=\"12394496\", alpha=\"0.02\", expect_size=\"6197248\"] \n  15 [size=\"47007744\", alpha=\"0.08\", expect_size=\"23503872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74027008\", alpha=\"0.10\", expect_size=\"37013504\"] \n  1 -> 2 [size =\"37013504\"]\n  2 [size=\"80257024\", alpha=\"0.15\", expect_size=\"40128512\"] \n  2 -> 3 [size =\"40128512\"]\n  3 [size=\"102825984\", alpha=\"0.03\", expect_size=\"51412992\"] \n  3 -> 4 [size =\"51412992\"]\n  4 [size=\"80658432\", alpha=\"0.15\", expect_size=\"40329216\"] \n  4 -> 5 [size =\"40329216\"]\n  5 [size=\"94429184\", alpha=\"0.13\", expect_size=\"47214592\"] \n  5 -> 6 [size =\"47214592\"]\n  6 [size=\"59457536\", alpha=\"0.20\", expect_size=\"29728768\"] \n  6 -> 7 [size =\"29728768\"]\n  7 [size=\"101736448\", alpha=\"0.13\", expect_size=\"50868224\"] \n  7 -> 8 [size =\"50868224\"]\n  8 [size=\"91977728\", alpha=\"0.05\", expect_size=\"45988864\"] \n  8 -> 9 [size =\"45988864\"]\n  9 [size=\"15171584\", alpha=\"0.17\", expect_size=\"7585792\"] \n  9 -> 10 [size =\"7585792\"]\n  10 [size=\"34156544\", alpha=\"0.03\", expect_size=\"17078272\"] \n  10 -> 11 [size =\"17078272\"]\n  11 [size=\"20355072\", alpha=\"0.07\", expect_size=\"10177536\"] \n  11 -> 12 [size =\"10177536\"]\n  12 [size=\"65331200\", alpha=\"0.07\", expect_size=\"32665600\"] \n  12 -> 13 [size =\"32665600\"]\n  13 [size=\"40445952\", alpha=\"0.08\", expect_size=\"20222976\"] \n  13 -> 14 [size =\"20222976\"]\n  14 [size=\"54050816\", alpha=\"0.06\", expect_size=\"27025408\"] \n  14 -> 15 [size =\"27025408\"]\n  15 [size=\"31780864\", alpha=\"0.02\", expect_size=\"15890432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62132224\", alpha=\"0.06\", expect_size=\"31066112\"] \n  1 -> 5 [size =\"31066112\"]\n  1 -> 6 [size =\"31066112\"]\n  1 -> 7 [size =\"31066112\"]\n  1 -> 9 [size =\"31066112\"]\n  1 -> 10 [size =\"31066112\"]\n  2 [size=\"24686592\", alpha=\"0.19\", expect_size=\"12343296\"] \n  2 -> 5 [size =\"12343296\"]\n  2 -> 6 [size =\"12343296\"]\n  2 -> 9 [size =\"12343296\"]\n  2 -> 10 [size =\"12343296\"]\n  3 [size=\"23465984\", alpha=\"0.03\", expect_size=\"11732992\"] \n  3 -> 5 [size =\"11732992\"]\n  3 -> 10 [size =\"11732992\"]\n  4 [size=\"96831488\", alpha=\"0.12\", expect_size=\"48415744\"] \n  4 -> 5 [size =\"48415744\"]\n  4 -> 6 [size =\"48415744\"]\n  4 -> 8 [size =\"48415744\"]\n  4 -> 10 [size =\"48415744\"]\n  5 [size=\"12451840\", alpha=\"0.12\", expect_size=\"6225920\"] \n  5 -> 11 [size =\"6225920\"]\n  5 -> 13 [size =\"6225920\"]\n  5 -> 14 [size =\"6225920\"]\n  6 [size=\"42772480\", alpha=\"0.12\", expect_size=\"21386240\"] \n  6 -> 11 [size =\"21386240\"]\n  6 -> 13 [size =\"21386240\"]\n  6 -> 14 [size =\"21386240\"]\n  7 [size=\"98560000\", alpha=\"0.14\", expect_size=\"49280000\"] \n  7 -> 11 [size =\"49280000\"]\n  7 -> 12 [size =\"49280000\"]\n  7 -> 13 [size =\"49280000\"]\n  7 -> 14 [size =\"49280000\"]\n  8 [size=\"89446400\", alpha=\"0.05\", expect_size=\"44723200\"] \n  8 -> 11 [size =\"44723200\"]\n  8 -> 12 [size =\"44723200\"]\n  8 -> 13 [size =\"44723200\"]\n  8 -> 14 [size =\"44723200\"]\n  9 [size=\"11515904\", alpha=\"0.15\", expect_size=\"5757952\"] \n  9 -> 11 [size =\"5757952\"]\n  9 -> 12 [size =\"5757952\"]\n  9 -> 13 [size =\"5757952\"]\n  9 -> 14 [size =\"5757952\"]\n  10 [size=\"12900352\", alpha=\"0.16\", expect_size=\"6450176\"] \n  10 -> 13 [size =\"6450176\"]\n  10 -> 14 [size =\"6450176\"]\n  11 [size=\"31987712\", alpha=\"0.02\", expect_size=\"15993856\"] \n  12 [size=\"62476288\", alpha=\"0.08\", expect_size=\"31238144\"] \n  12 -> 15 [size =\"31238144\"]\n  13 [size=\"59654144\", alpha=\"0.09\", expect_size=\"29827072\"] \n  13 -> 15 [size =\"29827072\"]\n  14 [size=\"74301440\", alpha=\"0.05\", expect_size=\"37150720\"] \n  14 -> 15 [size =\"37150720\"]\n  15 [size=\"35289088\", alpha=\"0.05\", expect_size=\"17644544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54159360\", alpha=\"0.00\", expect_size=\"21663744\"] \n  1 -> 2 [size =\"21663744\"]\n  1 -> 3 [size =\"21663744\"]\n  2 [size=\"109749760\", alpha=\"0.18\", expect_size=\"43899904\"] \n  2 -> 4 [size =\"43899904\"]\n  3 [size=\"16944640\", alpha=\"0.03\", expect_size=\"6777856\"] \n  4 [size=\"74961920\", alpha=\"0.07\", expect_size=\"29984768\"] \n  4 -> 5 [size =\"29984768\"]\n  4 -> 6 [size =\"29984768\"]\n  5 [size=\"87057920\", alpha=\"0.16\", expect_size=\"34823168\"] \n  6 [size=\"24998400\", alpha=\"0.14\", expect_size=\"9999360\"] \n  6 -> 7 [size =\"9999360\"]\n  7 [size=\"62400000\", alpha=\"0.19\", expect_size=\"24960000\"] \n  7 -> 8 [size =\"24960000\"]\n  8 [size=\"59297280\", alpha=\"0.16\", expect_size=\"23718912\"] \n  8 -> 9 [size =\"23718912\"]\n  8 -> 10 [size =\"23718912\"]\n  9 [size=\"108436480\", alpha=\"0.07\", expect_size=\"43374592\"] \n  9 -> 11 [size =\"43374592\"]\n  10 [size=\"19013120\", alpha=\"0.09\", expect_size=\"7605248\"] \n  10 -> 11 [size =\"7605248\"]\n  11 [size=\"96647680\", alpha=\"0.19\", expect_size=\"38659072\"] \n  11 -> 12 [size =\"38659072\"]\n  11 -> 13 [size =\"38659072\"]\n  12 [size=\"99059200\", alpha=\"0.19\", expect_size=\"39623680\"] \n  13 [size=\"85655040\", alpha=\"0.09\", expect_size=\"34262016\"] \n  13 -> 14 [size =\"34262016\"]\n  14 [size=\"105551360\", alpha=\"0.03\", expect_size=\"42220544\"] \n  14 -> 15 [size =\"42220544\"]\n  15 [size=\"27978240\", alpha=\"0.06\", expect_size=\"11191296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50229760\", alpha=\"0.03\", expect_size=\"20091904\"] \n  1 -> 2 [size =\"20091904\"]\n  1 -> 3 [size =\"20091904\"]\n  2 [size=\"44646400\", alpha=\"0.06\", expect_size=\"17858560\"] \n  2 -> 4 [size =\"17858560\"]\n  2 -> 5 [size =\"17858560\"]\n  3 [size=\"64215040\", alpha=\"0.11\", expect_size=\"25686016\"] \n  3 -> 4 [size =\"25686016\"]\n  4 [size=\"60428800\", alpha=\"0.13\", expect_size=\"24171520\"] \n  4 -> 6 [size =\"24171520\"]\n  5 [size=\"49290240\", alpha=\"0.07\", expect_size=\"19716096\"] \n  5 -> 6 [size =\"19716096\"]\n  6 [size=\"27776000\", alpha=\"0.11\", expect_size=\"11110400\"] \n  6 -> 7 [size =\"11110400\"]\n  6 -> 8 [size =\"11110400\"]\n  7 [size=\"79869440\", alpha=\"0.01\", expect_size=\"31947776\"] \n  7 -> 9 [size =\"31947776\"]\n  7 -> 10 [size =\"31947776\"]\n  8 [size=\"97891840\", alpha=\"0.17\", expect_size=\"39156736\"] \n  8 -> 9 [size =\"39156736\"]\n  8 -> 10 [size =\"39156736\"]\n  9 [size=\"70049280\", alpha=\"0.13\", expect_size=\"28019712\"] \n  9 -> 11 [size =\"28019712\"]\n  9 -> 12 [size =\"28019712\"]\n  10 [size=\"37212160\", alpha=\"0.10\", expect_size=\"14884864\"] \n  10 -> 12 [size =\"14884864\"]\n  11 [size=\"39490560\", alpha=\"0.13\", expect_size=\"15796224\"] \n  11 -> 13 [size =\"15796224\"]\n  12 [size=\"59891200\", alpha=\"0.06\", expect_size=\"23956480\"] \n  12 -> 13 [size =\"23956480\"]\n  12 -> 14 [size =\"23956480\"]\n  13 [size=\"95756800\", alpha=\"0.11\", expect_size=\"38302720\"] \n  14 [size=\"44231680\", alpha=\"0.11\", expect_size=\"17692672\"] \n  14 -> 15 [size =\"17692672\"]\n  15 [size=\"123502080\", alpha=\"0.06\", expect_size=\"49400832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24737792\", alpha=\"0.20\", expect_size=\"12368896\"] \n  1 -> 5 [size =\"12368896\"]\n  1 -> 6 [size =\"12368896\"]\n  2 [size=\"97333248\", alpha=\"0.10\", expect_size=\"48666624\"] \n  2 -> 5 [size =\"48666624\"]\n  2 -> 6 [size =\"48666624\"]\n  3 [size=\"75984896\", alpha=\"0.01\", expect_size=\"37992448\"] \n  3 -> 4 [size =\"37992448\"]\n  3 -> 5 [size =\"37992448\"]\n  4 [size=\"31762432\", alpha=\"0.17\", expect_size=\"15881216\"] \n  4 -> 7 [size =\"15881216\"]\n  4 -> 8 [size =\"15881216\"]\n  4 -> 9 [size =\"15881216\"]\n  4 -> 10 [size =\"15881216\"]\n  4 -> 11 [size =\"15881216\"]\n  5 [size=\"68106240\", alpha=\"0.06\", expect_size=\"34053120\"] \n  5 -> 8 [size =\"34053120\"]\n  5 -> 10 [size =\"34053120\"]\n  5 -> 11 [size =\"34053120\"]\n  6 [size=\"87267328\", alpha=\"0.08\", expect_size=\"43633664\"] \n  6 -> 10 [size =\"43633664\"]\n  6 -> 11 [size =\"43633664\"]\n  7 [size=\"71925760\", alpha=\"0.11\", expect_size=\"35962880\"] \n  7 -> 12 [size =\"35962880\"]\n  7 -> 14 [size =\"35962880\"]\n  8 [size=\"30679040\", alpha=\"0.09\", expect_size=\"15339520\"] \n  8 -> 14 [size =\"15339520\"]\n  8 -> 15 [size =\"15339520\"]\n  9 [size=\"16914432\", alpha=\"0.09\", expect_size=\"8457216\"] \n  9 -> 12 [size =\"8457216\"]\n  9 -> 14 [size =\"8457216\"]\n  9 -> 15 [size =\"8457216\"]\n  10 [size=\"32538624\", alpha=\"0.16\", expect_size=\"16269312\"] \n  10 -> 14 [size =\"16269312\"]\n  10 -> 15 [size =\"16269312\"]\n  11 [size=\"91389952\", alpha=\"0.19\", expect_size=\"45694976\"] \n  11 -> 12 [size =\"45694976\"]\n  11 -> 13 [size =\"45694976\"]\n  11 -> 14 [size =\"45694976\"]\n  11 -> 15 [size =\"45694976\"]\n  12 [size=\"90451968\", alpha=\"0.02\", expect_size=\"45225984\"] \n  13 [size=\"41295872\", alpha=\"0.02\", expect_size=\"20647936\"] \n  14 [size=\"47357952\", alpha=\"0.07\", expect_size=\"23678976\"] \n  15 [size=\"32802816\", alpha=\"0.09\", expect_size=\"16401408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137536853\", alpha=\"0.12\", expect_size=\"41261056\"] \n  1 -> 9 [size =\"41261056\"]\n  1 -> 12 [size =\"41261056\"]\n  2 [size=\"50752853\", alpha=\"0.15\", expect_size=\"15225856\"] \n  2 -> 10 [size =\"15225856\"]\n  2 -> 11 [size =\"15225856\"]\n  3 [size=\"40751787\", alpha=\"0.06\", expect_size=\"12225536\"] \n  3 -> 7 [size =\"12225536\"]\n  3 -> 9 [size =\"12225536\"]\n  3 -> 10 [size =\"12225536\"]\n  4 [size=\"75110400\", alpha=\"0.05\", expect_size=\"22533120\"] \n  4 -> 7 [size =\"22533120\"]\n  5 [size=\"137762133\", alpha=\"0.02\", expect_size=\"41328640\"] \n  6 [size=\"122251947\", alpha=\"0.09\", expect_size=\"36675584\"] \n  6 -> 8 [size =\"36675584\"]\n  6 -> 9 [size =\"36675584\"]\n  6 -> 10 [size =\"36675584\"]\n  6 -> 12 [size =\"36675584\"]\n  7 [size=\"98443947\", alpha=\"0.17\", expect_size=\"29533184\"] \n  7 -> 14 [size =\"29533184\"]\n  7 -> 15 [size =\"29533184\"]\n  8 [size=\"22616747\", alpha=\"0.07\", expect_size=\"6785024\"] \n  8 -> 15 [size =\"6785024\"]\n  9 [size=\"70400000\", alpha=\"0.16\", expect_size=\"21120000\"] \n  9 -> 13 [size =\"21120000\"]\n  10 [size=\"122794667\", alpha=\"0.15\", expect_size=\"36838400\"] \n  10 -> 13 [size =\"36838400\"]\n  10 -> 15 [size =\"36838400\"]\n  11 [size=\"39806293\", alpha=\"0.05\", expect_size=\"11941888\"] \n  12 [size=\"134543360\", alpha=\"0.06\", expect_size=\"40363008\"] \n  13 [size=\"93354667\", alpha=\"0.20\", expect_size=\"28006400\"] \n  14 [size=\"143175680\", alpha=\"0.06\", expect_size=\"42952704\"] \n  15 [size=\"27702613\", alpha=\"0.16\", expect_size=\"8310784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160109227\", alpha=\"0.01\", expect_size=\"48032768\"] \n  1 -> 6 [size =\"48032768\"]\n  1 -> 9 [size =\"48032768\"]\n  2 [size=\"164928853\", alpha=\"0.17\", expect_size=\"49478656\"] \n  2 -> 9 [size =\"49478656\"]\n  2 -> 10 [size =\"49478656\"]\n  3 [size=\"68099413\", alpha=\"0.03\", expect_size=\"20429824\"] \n  3 -> 8 [size =\"20429824\"]\n  4 [size=\"44898987\", alpha=\"0.15\", expect_size=\"13469696\"] \n  4 -> 7 [size =\"13469696\"]\n  4 -> 8 [size =\"13469696\"]\n  4 -> 10 [size =\"13469696\"]\n  4 -> 11 [size =\"13469696\"]\n  5 [size=\"126030507\", alpha=\"0.03\", expect_size=\"37809152\"] \n  5 -> 7 [size =\"37809152\"]\n  5 -> 8 [size =\"37809152\"]\n  5 -> 9 [size =\"37809152\"]\n  6 [size=\"105523200\", alpha=\"0.02\", expect_size=\"31656960\"] \n  6 -> 12 [size =\"31656960\"]\n  7 [size=\"38174720\", alpha=\"0.02\", expect_size=\"11452416\"] \n  7 -> 12 [size =\"11452416\"]\n  8 [size=\"96358400\", alpha=\"0.16\", expect_size=\"28907520\"] \n  8 -> 13 [size =\"28907520\"]\n  8 -> 15 [size =\"28907520\"]\n  9 [size=\"54999040\", alpha=\"0.09\", expect_size=\"16499712\"] \n  9 -> 12 [size =\"16499712\"]\n  10 [size=\"161286827\", alpha=\"0.04\", expect_size=\"48386048\"] \n  11 [size=\"173776213\", alpha=\"0.02\", expect_size=\"52132864\"] \n  11 -> 14 [size =\"52132864\"]\n  12 [size=\"23719253\", alpha=\"0.14\", expect_size=\"7115776\"] \n  13 [size=\"157631147\", alpha=\"0.09\", expect_size=\"47289344\"] \n  14 [size=\"22865920\", alpha=\"0.17\", expect_size=\"6859776\"] \n  15 [size=\"141168640\", alpha=\"0.14\", expect_size=\"42350592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101416960\", alpha=\"0.17\", expect_size=\"40566784\"] \n  1 -> 2 [size =\"40566784\"]\n  1 -> 3 [size =\"40566784\"]\n  2 [size=\"113830400\", alpha=\"0.16\", expect_size=\"45532160\"] \n  2 -> 4 [size =\"45532160\"]\n  3 [size=\"52569600\", alpha=\"0.05\", expect_size=\"21027840\"] \n  3 -> 4 [size =\"21027840\"]\n  4 [size=\"52968960\", alpha=\"0.04\", expect_size=\"21187584\"] \n  4 -> 5 [size =\"21187584\"]\n  5 [size=\"58355200\", alpha=\"0.01\", expect_size=\"23342080\"] \n  5 -> 6 [size =\"23342080\"]\n  6 [size=\"126919680\", alpha=\"0.01\", expect_size=\"50767872\"] \n  6 -> 7 [size =\"50767872\"]\n  6 -> 8 [size =\"50767872\"]\n  7 [size=\"122728960\", alpha=\"0.19\", expect_size=\"49091584\"] \n  7 -> 9 [size =\"49091584\"]\n  8 [size=\"32115200\", alpha=\"0.04\", expect_size=\"12846080\"] \n  8 -> 9 [size =\"12846080\"]\n  9 [size=\"91315200\", alpha=\"0.08\", expect_size=\"36526080\"] \n  9 -> 10 [size =\"36526080\"]\n  10 [size=\"42869760\", alpha=\"0.12\", expect_size=\"17147904\"] \n  10 -> 11 [size =\"17147904\"]\n  10 -> 12 [size =\"17147904\"]\n  11 [size=\"42723840\", alpha=\"0.14\", expect_size=\"17089536\"] \n  11 -> 13 [size =\"17089536\"]\n  12 [size=\"23582720\", alpha=\"0.13\", expect_size=\"9433088\"] \n  12 -> 13 [size =\"9433088\"]\n  13 [size=\"115458560\", alpha=\"0.10\", expect_size=\"46183424\"] \n  13 -> 14 [size =\"46183424\"]\n  14 [size=\"29468160\", alpha=\"0.12\", expect_size=\"11787264\"] \n  14 -> 15 [size =\"11787264\"]\n  15 [size=\"53754880\", alpha=\"0.04\", expect_size=\"21501952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42816000\", alpha=\"0.09\", expect_size=\"17126400\"] \n  1 -> 2 [size =\"17126400\"]\n  2 [size=\"76462080\", alpha=\"0.12\", expect_size=\"30584832\"] \n  2 -> 3 [size =\"30584832\"]\n  2 -> 4 [size =\"30584832\"]\n  3 [size=\"95815680\", alpha=\"0.09\", expect_size=\"38326272\"] \n  3 -> 5 [size =\"38326272\"]\n  4 [size=\"46789120\", alpha=\"0.15\", expect_size=\"18715648\"] \n  4 -> 5 [size =\"18715648\"]\n  4 -> 6 [size =\"18715648\"]\n  5 [size=\"115581440\", alpha=\"0.09\", expect_size=\"46232576\"] \n  5 -> 7 [size =\"46232576\"]\n  6 [size=\"82752000\", alpha=\"0.02\", expect_size=\"33100800\"] \n  6 -> 7 [size =\"33100800\"]\n  6 -> 8 [size =\"33100800\"]\n  7 [size=\"27688960\", alpha=\"0.13\", expect_size=\"11075584\"] \n  7 -> 9 [size =\"11075584\"]\n  7 -> 10 [size =\"11075584\"]\n  8 [size=\"64880640\", alpha=\"0.06\", expect_size=\"25952256\"] \n  8 -> 9 [size =\"25952256\"]\n  8 -> 10 [size =\"25952256\"]\n  9 [size=\"129011200\", alpha=\"0.06\", expect_size=\"51604480\"] \n  9 -> 11 [size =\"51604480\"]\n  10 [size=\"88368640\", alpha=\"0.15\", expect_size=\"35347456\"] \n  10 -> 11 [size =\"35347456\"]\n  10 -> 12 [size =\"35347456\"]\n  11 [size=\"86760960\", alpha=\"0.05\", expect_size=\"34704384\"] \n  11 -> 13 [size =\"34704384\"]\n  12 [size=\"24391680\", alpha=\"0.09\", expect_size=\"9756672\"] \n  12 -> 13 [size =\"9756672\"]\n  13 [size=\"95503360\", alpha=\"0.13\", expect_size=\"38201344\"] \n  13 -> 14 [size =\"38201344\"]\n  14 [size=\"29278720\", alpha=\"0.18\", expect_size=\"11711488\"] \n  14 -> 15 [size =\"11711488\"]\n  15 [size=\"115548160\", alpha=\"0.04\", expect_size=\"46219264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93470720\", alpha=\"0.11\", expect_size=\"46735360\"] \n  1 -> 2 [size =\"46735360\"]\n  1 -> 3 [size =\"46735360\"]\n  2 [size=\"25413632\", alpha=\"0.06\", expect_size=\"12706816\"] \n  2 -> 5 [size =\"12706816\"]\n  3 [size=\"36638720\", alpha=\"0.04\", expect_size=\"18319360\"] \n  3 -> 4 [size =\"18319360\"]\n  3 -> 5 [size =\"18319360\"]\n  4 [size=\"12959744\", alpha=\"0.14\", expect_size=\"6479872\"] \n  4 -> 6 [size =\"6479872\"]\n  4 -> 7 [size =\"6479872\"]\n  4 -> 8 [size =\"6479872\"]\n  5 [size=\"88846336\", alpha=\"0.08\", expect_size=\"44423168\"] \n  5 -> 6 [size =\"44423168\"]\n  5 -> 8 [size =\"44423168\"]\n  6 [size=\"90361856\", alpha=\"0.12\", expect_size=\"45180928\"] \n  6 -> 10 [size =\"45180928\"]\n  7 [size=\"49938432\", alpha=\"0.12\", expect_size=\"24969216\"] \n  7 -> 9 [size =\"24969216\"]\n  7 -> 10 [size =\"24969216\"]\n  7 -> 11 [size =\"24969216\"]\n  8 [size=\"59463680\", alpha=\"0.04\", expect_size=\"29731840\"] \n  8 -> 10 [size =\"29731840\"]\n  8 -> 11 [size =\"29731840\"]\n  8 -> 11 [size =\"29731840\"]\n  9 [size=\"93265920\", alpha=\"0.12\", expect_size=\"46632960\"] \n  9 -> 12 [size =\"46632960\"]\n  9 -> 13 [size =\"46632960\"]\n  9 -> 14 [size =\"46632960\"]\n  9 -> 15 [size =\"46632960\"]\n  10 [size=\"26284032\", alpha=\"0.05\", expect_size=\"13142016\"] \n  10 -> 12 [size =\"13142016\"]\n  10 -> 13 [size =\"13142016\"]\n  10 -> 14 [size =\"13142016\"]\n  10 -> 15 [size =\"13142016\"]\n  11 [size=\"19632128\", alpha=\"0.00\", expect_size=\"9816064\"] \n  11 -> 12 [size =\"9816064\"]\n  11 -> 13 [size =\"9816064\"]\n  11 -> 14 [size =\"9816064\"]\n  11 -> 15 [size =\"9816064\"]\n  12 [size=\"73766912\", alpha=\"0.16\", expect_size=\"36883456\"] \n  13 [size=\"101226496\", alpha=\"0.19\", expect_size=\"50613248\"] \n  14 [size=\"27486208\", alpha=\"0.10\", expect_size=\"13743104\"] \n  15 [size=\"93890560\", alpha=\"0.02\", expect_size=\"46945280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68437333\", alpha=\"0.07\", expect_size=\"20531200\"] \n  1 -> 7 [size =\"20531200\"]\n  1 -> 8 [size =\"20531200\"]\n  2 [size=\"33109333\", alpha=\"0.14\", expect_size=\"9932800\"] \n  2 -> 9 [size =\"9932800\"]\n  3 [size=\"68567040\", alpha=\"0.12\", expect_size=\"20570112\"] \n  3 -> 8 [size =\"20570112\"]\n  3 -> 9 [size =\"20570112\"]\n  3 -> 10 [size =\"20570112\"]\n  3 -> 11 [size =\"20570112\"]\n  3 -> 12 [size =\"20570112\"]\n  4 [size=\"29453653\", alpha=\"0.04\", expect_size=\"8836096\"] \n  4 -> 8 [size =\"8836096\"]\n  4 -> 10 [size =\"8836096\"]\n  4 -> 12 [size =\"8836096\"]\n  5 [size=\"86807893\", alpha=\"0.05\", expect_size=\"26042368\"] \n  5 -> 8 [size =\"26042368\"]\n  5 -> 10 [size =\"26042368\"]\n  5 -> 12 [size =\"26042368\"]\n  6 [size=\"50636800\", alpha=\"0.01\", expect_size=\"15191040\"] \n  6 -> 9 [size =\"15191040\"]\n  6 -> 10 [size =\"15191040\"]\n  6 -> 12 [size =\"15191040\"]\n  7 [size=\"87842133\", alpha=\"0.06\", expect_size=\"26352640\"] \n  7 -> 13 [size =\"26352640\"]\n  7 -> 15 [size =\"26352640\"]\n  8 [size=\"75342507\", alpha=\"0.01\", expect_size=\"22602752\"] \n  8 -> 13 [size =\"22602752\"]\n  9 [size=\"80145067\", alpha=\"0.16\", expect_size=\"24043520\"] \n  9 -> 14 [size =\"24043520\"]\n  10 [size=\"32426667\", alpha=\"0.11\", expect_size=\"9728000\"] \n  10 -> 14 [size =\"9728000\"]\n  11 [size=\"172800000\", alpha=\"0.11\", expect_size=\"51840000\"] \n  11 -> 13 [size =\"51840000\"]\n  11 -> 15 [size =\"51840000\"]\n  12 [size=\"73338880\", alpha=\"0.18\", expect_size=\"22001664\"] \n  12 -> 13 [size =\"22001664\"]\n  12 -> 14 [size =\"22001664\"]\n  12 -> 15 [size =\"22001664\"]\n  13 [size=\"23111680\", alpha=\"0.14\", expect_size=\"6933504\"] \n  14 [size=\"119115093\", alpha=\"0.19\", expect_size=\"35734528\"] \n  15 [size=\"150097920\", alpha=\"0.08\", expect_size=\"45029376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75178667\", alpha=\"0.07\", expect_size=\"22553600\"] \n  2 [size=\"169943040\", alpha=\"0.00\", expect_size=\"50982912\"] \n  2 -> 9 [size =\"50982912\"]\n  2 -> 10 [size =\"50982912\"]\n  2 -> 11 [size =\"50982912\"]\n  3 [size=\"146148693\", alpha=\"0.18\", expect_size=\"43844608\"] \n  3 -> 9 [size =\"43844608\"]\n  3 -> 10 [size =\"43844608\"]\n  4 [size=\"73960107\", alpha=\"0.08\", expect_size=\"22188032\"] \n  4 -> 9 [size =\"22188032\"]\n  5 [size=\"65396053\", alpha=\"0.02\", expect_size=\"19618816\"] \n  5 -> 9 [size =\"19618816\"]\n  5 -> 10 [size =\"19618816\"]\n  6 [size=\"139141120\", alpha=\"0.02\", expect_size=\"41742336\"] \n  6 -> 10 [size =\"41742336\"]\n  6 -> 11 [size =\"41742336\"]\n  7 [size=\"112834560\", alpha=\"0.17\", expect_size=\"33850368\"] \n  8 [size=\"173417813\", alpha=\"0.07\", expect_size=\"52025344\"] \n  8 -> 9 [size =\"52025344\"]\n  8 -> 10 [size =\"52025344\"]\n  9 [size=\"50425173\", alpha=\"0.17\", expect_size=\"15127552\"] \n  9 -> 12 [size =\"15127552\"]\n  9 -> 13 [size =\"15127552\"]\n  9 -> 14 [size =\"15127552\"]\n  10 [size=\"46028800\", alpha=\"0.18\", expect_size=\"13808640\"] \n  10 -> 12 [size =\"13808640\"]\n  10 -> 13 [size =\"13808640\"]\n  10 -> 14 [size =\"13808640\"]\n  11 [size=\"41649493\", alpha=\"0.14\", expect_size=\"12494848\"] \n  11 -> 12 [size =\"12494848\"]\n  11 -> 13 [size =\"12494848\"]\n  11 -> 14 [size =\"12494848\"]\n  12 [size=\"93726720\", alpha=\"0.20\", expect_size=\"28118016\"] \n  12 -> 15 [size =\"28118016\"]\n  13 [size=\"94661973\", alpha=\"0.09\", expect_size=\"28398592\"] \n  13 -> 15 [size =\"28398592\"]\n  14 [size=\"77837653\", alpha=\"0.03\", expect_size=\"23351296\"] \n  14 -> 15 [size =\"23351296\"]\n  15 [size=\"137195520\", alpha=\"0.18\", expect_size=\"41158656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105300480\", alpha=\"0.06\", expect_size=\"42120192\"] \n  1 -> 2 [size =\"42120192\"]\n  2 [size=\"129546240\", alpha=\"0.17\", expect_size=\"51818496\"] \n  2 -> 3 [size =\"51818496\"]\n  3 [size=\"92039680\", alpha=\"0.16\", expect_size=\"36815872\"] \n  3 -> 4 [size =\"36815872\"]\n  4 [size=\"106644480\", alpha=\"0.08\", expect_size=\"42657792\"] \n  4 -> 5 [size =\"42657792\"]\n  5 [size=\"94420480\", alpha=\"0.11\", expect_size=\"37768192\"] \n  5 -> 6 [size =\"37768192\"]\n  6 [size=\"80430080\", alpha=\"0.20\", expect_size=\"32172032\"] \n  6 -> 7 [size =\"32172032\"]\n  7 [size=\"92963840\", alpha=\"0.14\", expect_size=\"37185536\"] \n  7 -> 8 [size =\"37185536\"]\n  8 [size=\"123025920\", alpha=\"0.05\", expect_size=\"49210368\"] \n  8 -> 9 [size =\"49210368\"]\n  9 [size=\"112097280\", alpha=\"0.12\", expect_size=\"44838912\"] \n  9 -> 10 [size =\"44838912\"]\n  10 [size=\"25231360\", alpha=\"0.01\", expect_size=\"10092544\"] \n  10 -> 11 [size =\"10092544\"]\n  11 [size=\"104281600\", alpha=\"0.04\", expect_size=\"41712640\"] \n  11 -> 12 [size =\"41712640\"]\n  12 [size=\"20751360\", alpha=\"0.06\", expect_size=\"8300544\"] \n  12 -> 13 [size =\"8300544\"]\n  13 [size=\"118663680\", alpha=\"0.05\", expect_size=\"47465472\"] \n  13 -> 14 [size =\"47465472\"]\n  14 [size=\"96353280\", alpha=\"0.04\", expect_size=\"38541312\"] \n  14 -> 15 [size =\"38541312\"]\n  15 [size=\"23339520\", alpha=\"0.11\", expect_size=\"9335808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35667968\", alpha=\"0.10\", expect_size=\"17833984\"] \n  1 -> 3 [size =\"17833984\"]\n  1 -> 4 [size =\"17833984\"]\n  1 -> 5 [size =\"17833984\"]\n  2 [size=\"89247744\", alpha=\"0.12\", expect_size=\"44623872\"] \n  2 -> 3 [size =\"44623872\"]\n  2 -> 5 [size =\"44623872\"]\n  3 [size=\"103565312\", alpha=\"0.13\", expect_size=\"51782656\"] \n  3 -> 6 [size =\"51782656\"]\n  3 -> 8 [size =\"51782656\"]\n  4 [size=\"29507584\", alpha=\"0.06\", expect_size=\"14753792\"] \n  4 -> 6 [size =\"14753792\"]\n  4 -> 7 [size =\"14753792\"]\n  5 [size=\"45795328\", alpha=\"0.19\", expect_size=\"22897664\"] \n  5 -> 6 [size =\"22897664\"]\n  5 -> 7 [size =\"22897664\"]\n  5 -> 8 [size =\"22897664\"]\n  6 [size=\"83898368\", alpha=\"0.01\", expect_size=\"41949184\"] \n  6 -> 10 [size =\"41949184\"]\n  6 -> 11 [size =\"41949184\"]\n  7 [size=\"34260992\", alpha=\"0.06\", expect_size=\"17130496\"] \n  7 -> 9 [size =\"17130496\"]\n  8 [size=\"65155072\", alpha=\"0.14\", expect_size=\"32577536\"] \n  8 -> 11 [size =\"32577536\"]\n  9 [size=\"38850560\", alpha=\"0.08\", expect_size=\"19425280\"] \n  9 -> 12 [size =\"19425280\"]\n  10 [size=\"11470848\", alpha=\"0.10\", expect_size=\"5735424\"] \n  11 [size=\"76994560\", alpha=\"0.13\", expect_size=\"38497280\"] \n  11 -> 13 [size =\"38497280\"]\n  12 [size=\"31275008\", alpha=\"0.10\", expect_size=\"15637504\"] \n  12 -> 14 [size =\"15637504\"]\n  13 [size=\"86376448\", alpha=\"0.11\", expect_size=\"43188224\"] \n  13 -> 15 [size =\"43188224\"]\n  14 [size=\"53245952\", alpha=\"0.02\", expect_size=\"26622976\"] \n  15 [size=\"82976768\", alpha=\"0.10\", expect_size=\"41488384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26933760\", alpha=\"0.07\", expect_size=\"10773504\"] \n  1 -> 2 [size =\"10773504\"]\n  2 [size=\"43315200\", alpha=\"0.02\", expect_size=\"17326080\"] \n  2 -> 3 [size =\"17326080\"]\n  3 [size=\"117009920\", alpha=\"0.16\", expect_size=\"46803968\"] \n  3 -> 4 [size =\"46803968\"]\n  4 [size=\"37196800\", alpha=\"0.04\", expect_size=\"14878720\"] \n  4 -> 5 [size =\"14878720\"]\n  5 [size=\"126563840\", alpha=\"0.16\", expect_size=\"50625536\"] \n  5 -> 6 [size =\"50625536\"]\n  6 [size=\"74703360\", alpha=\"0.07\", expect_size=\"29881344\"] \n  6 -> 7 [size =\"29881344\"]\n  7 [size=\"111603200\", alpha=\"0.17\", expect_size=\"44641280\"] \n  7 -> 8 [size =\"44641280\"]\n  8 [size=\"68328960\", alpha=\"0.01\", expect_size=\"27331584\"] \n  8 -> 9 [size =\"27331584\"]\n  9 [size=\"23887360\", alpha=\"0.18\", expect_size=\"9554944\"] \n  9 -> 10 [size =\"9554944\"]\n  10 [size=\"130519040\", alpha=\"0.02\", expect_size=\"52207616\"] \n  10 -> 11 [size =\"52207616\"]\n  11 [size=\"86617600\", alpha=\"0.19\", expect_size=\"34647040\"] \n  11 -> 12 [size =\"34647040\"]\n  12 [size=\"126566400\", alpha=\"0.14\", expect_size=\"50626560\"] \n  12 -> 13 [size =\"50626560\"]\n  13 [size=\"21260800\", alpha=\"0.20\", expect_size=\"8504320\"] \n  13 -> 14 [size =\"8504320\"]\n  14 [size=\"113410560\", alpha=\"0.06\", expect_size=\"45364224\"] \n  14 -> 15 [size =\"45364224\"]\n  15 [size=\"19471360\", alpha=\"0.01\", expect_size=\"7788544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77971456\", alpha=\"0.05\", expect_size=\"38985728\"] \n  2 [size=\"27334656\", alpha=\"0.05\", expect_size=\"13667328\"] \n  2 -> 4 [size =\"13667328\"]\n  2 -> 5 [size =\"13667328\"]\n  3 [size=\"66928640\", alpha=\"0.13\", expect_size=\"33464320\"] \n  4 [size=\"62228480\", alpha=\"0.08\", expect_size=\"31114240\"] \n  4 -> 6 [size =\"31114240\"]\n  4 -> 7 [size =\"31114240\"]\n  5 [size=\"25337856\", alpha=\"0.15\", expect_size=\"12668928\"] \n  5 -> 8 [size =\"12668928\"]\n  6 [size=\"58411008\", alpha=\"0.01\", expect_size=\"29205504\"] \n  6 -> 9 [size =\"29205504\"]\n  6 -> 11 [size =\"29205504\"]\n  7 [size=\"75268096\", alpha=\"0.13\", expect_size=\"37634048\"] \n  7 -> 9 [size =\"37634048\"]\n  7 -> 10 [size =\"37634048\"]\n  8 [size=\"93650944\", alpha=\"0.19\", expect_size=\"46825472\"] \n  8 -> 10 [size =\"46825472\"]\n  9 [size=\"37773312\", alpha=\"0.07\", expect_size=\"18886656\"] \n  9 -> 13 [size =\"18886656\"]\n  10 [size=\"30769152\", alpha=\"0.14\", expect_size=\"15384576\"] \n  10 -> 12 [size =\"15384576\"]\n  11 [size=\"38696960\", alpha=\"0.00\", expect_size=\"19348480\"] \n  12 [size=\"61833216\", alpha=\"0.08\", expect_size=\"30916608\"] \n  13 [size=\"84539392\", alpha=\"0.14\", expect_size=\"42269696\"] \n  13 -> 14 [size =\"42269696\"]\n  13 -> 15 [size =\"42269696\"]\n  14 [size=\"49264640\", alpha=\"0.09\", expect_size=\"24632320\"] \n  15 [size=\"85587968\", alpha=\"0.10\", expect_size=\"42793984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81100800\", alpha=\"0.08\", expect_size=\"24330240\"] \n  2 [size=\"153832107\", alpha=\"0.09\", expect_size=\"46149632\"] \n  2 -> 3 [size =\"46149632\"]\n  3 [size=\"113240747\", alpha=\"0.01\", expect_size=\"33972224\"] \n  3 -> 4 [size =\"33972224\"]\n  4 [size=\"76885333\", alpha=\"0.12\", expect_size=\"23065600\"] \n  4 -> 5 [size =\"23065600\"]\n  4 -> 6 [size =\"23065600\"]\n  5 [size=\"35945813\", alpha=\"0.03\", expect_size=\"10783744\"] \n  5 -> 7 [size =\"10783744\"]\n  5 -> 8 [size =\"10783744\"]\n  6 [size=\"59026773\", alpha=\"0.15\", expect_size=\"17708032\"] \n  6 -> 7 [size =\"17708032\"]\n  7 [size=\"113466027\", alpha=\"0.10\", expect_size=\"34039808\"] \n  7 -> 9 [size =\"34039808\"]\n  7 -> 10 [size =\"34039808\"]\n  8 [size=\"42786133\", alpha=\"0.11\", expect_size=\"12835840\"] \n  9 [size=\"147694933\", alpha=\"0.01\", expect_size=\"44308480\"] \n  9 -> 11 [size =\"44308480\"]\n  10 [size=\"58647893\", alpha=\"0.18\", expect_size=\"17594368\"] \n  11 [size=\"112725333\", alpha=\"0.09\", expect_size=\"33817600\"] \n  11 -> 12 [size =\"33817600\"]\n  12 [size=\"17674240\", alpha=\"0.01\", expect_size=\"5302272\"] \n  12 -> 13 [size =\"5302272\"]\n  12 -> 14 [size =\"5302272\"]\n  13 [size=\"90245120\", alpha=\"0.19\", expect_size=\"27073536\"] \n  13 -> 15 [size =\"27073536\"]\n  14 [size=\"95955627\", alpha=\"0.18\", expect_size=\"28786688\"] \n  14 -> 15 [size =\"28786688\"]\n  15 [size=\"34164053\", alpha=\"0.13\", expect_size=\"10249216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87918080\", alpha=\"0.01\", expect_size=\"35167232\"] \n  1 -> 14 [size =\"35167232\"]\n  1 -> 15 [size =\"35167232\"]\n  2 [size=\"126899200\", alpha=\"0.10\", expect_size=\"50759680\"] \n  2 -> 15 [size =\"50759680\"]\n  3 [size=\"67834880\", alpha=\"0.09\", expect_size=\"27133952\"] \n  3 -> 13 [size =\"27133952\"]\n  4 [size=\"58455040\", alpha=\"0.19\", expect_size=\"23382016\"] \n  4 -> 13 [size =\"23382016\"]\n  4 -> 15 [size =\"23382016\"]\n  5 [size=\"23513600\", alpha=\"0.20\", expect_size=\"9405440\"] \n  5 -> 13 [size =\"9405440\"]\n  6 [size=\"64642560\", alpha=\"0.14\", expect_size=\"25857024\"] \n  6 -> 13 [size =\"25857024\"]\n  7 [size=\"78732800\", alpha=\"0.01\", expect_size=\"31493120\"] \n  7 -> 13 [size =\"31493120\"]\n  8 [size=\"16087040\", alpha=\"0.15\", expect_size=\"6434816\"] \n  8 -> 14 [size =\"6434816\"]\n  9 [size=\"129018880\", alpha=\"0.06\", expect_size=\"51607552\"] \n  9 -> 14 [size =\"51607552\"]\n  10 [size=\"97482240\", alpha=\"0.02\", expect_size=\"38992896\"] \n  10 -> 14 [size =\"38992896\"]\n  11 [size=\"102394880\", alpha=\"0.08\", expect_size=\"40957952\"] \n  11 -> 14 [size =\"40957952\"]\n  12 [size=\"110837760\", alpha=\"0.01\", expect_size=\"44335104\"] \n  12 -> 13 [size =\"44335104\"]\n  13 [size=\"52492800\", alpha=\"0.11\", expect_size=\"20997120\"] \n  14 [size=\"102824960\", alpha=\"0.15\", expect_size=\"41129984\"] \n  15 [size=\"99822080\", alpha=\"0.03\", expect_size=\"39928832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48742400\", alpha=\"0.05\", expect_size=\"19496960\"] \n  2 [size=\"98854400\", alpha=\"0.01\", expect_size=\"39541760\"] \n  2 -> 5 [size =\"39541760\"]\n  3 [size=\"92520960\", alpha=\"0.15\", expect_size=\"37008384\"] \n  3 -> 4 [size =\"37008384\"]\n  3 -> 5 [size =\"37008384\"]\n  4 [size=\"55168000\", alpha=\"0.14\", expect_size=\"22067200\"] \n  4 -> 8 [size =\"22067200\"]\n  5 [size=\"91494400\", alpha=\"0.19\", expect_size=\"36597760\"] \n  5 -> 6 [size =\"36597760\"]\n  5 -> 7 [size =\"36597760\"]\n  6 [size=\"74442240\", alpha=\"0.17\", expect_size=\"29776896\"] \n  6 -> 9 [size =\"29776896\"]\n  7 [size=\"16488960\", alpha=\"0.07\", expect_size=\"6595584\"] \n  7 -> 9 [size =\"6595584\"]\n  8 [size=\"29619200\", alpha=\"0.13\", expect_size=\"11847680\"] \n  8 -> 10 [size =\"11847680\"]\n  9 [size=\"119936000\", alpha=\"0.10\", expect_size=\"47974400\"] \n  9 -> 11 [size =\"47974400\"]\n  9 -> 12 [size =\"47974400\"]\n  10 [size=\"50286080\", alpha=\"0.19\", expect_size=\"20114432\"] \n  10 -> 12 [size =\"20114432\"]\n  11 [size=\"34682880\", alpha=\"0.03\", expect_size=\"13873152\"] \n  11 -> 13 [size =\"13873152\"]\n  11 -> 14 [size =\"13873152\"]\n  12 [size=\"65766400\", alpha=\"0.19\", expect_size=\"26306560\"] \n  12 -> 13 [size =\"26306560\"]\n  13 [size=\"71815680\", alpha=\"0.16\", expect_size=\"28726272\"] \n  13 -> 15 [size =\"28726272\"]\n  14 [size=\"45040640\", alpha=\"0.02\", expect_size=\"18016256\"] \n  14 -> 15 [size =\"18016256\"]\n  15 [size=\"130063360\", alpha=\"0.10\", expect_size=\"52025344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80832000\", alpha=\"0.16\", expect_size=\"32332800\"] \n  1 -> 3 [size =\"32332800\"]\n  2 [size=\"111677440\", alpha=\"0.16\", expect_size=\"44670976\"] \n  2 -> 3 [size =\"44670976\"]\n  3 [size=\"75118080\", alpha=\"0.16\", expect_size=\"30047232\"] \n  3 -> 4 [size =\"30047232\"]\n  4 [size=\"122772480\", alpha=\"0.11\", expect_size=\"49108992\"] \n  4 -> 5 [size =\"49108992\"]\n  5 [size=\"34664960\", alpha=\"0.11\", expect_size=\"13865984\"] \n  5 -> 6 [size =\"13865984\"]\n  6 [size=\"69990400\", alpha=\"0.19\", expect_size=\"27996160\"] \n  6 -> 7 [size =\"27996160\"]\n  6 -> 8 [size =\"27996160\"]\n  7 [size=\"68162560\", alpha=\"0.04\", expect_size=\"27265024\"] \n  8 [size=\"120988160\", alpha=\"0.02\", expect_size=\"48395264\"] \n  8 -> 9 [size =\"48395264\"]\n  9 [size=\"47654400\", alpha=\"0.04\", expect_size=\"19061760\"] \n  9 -> 10 [size =\"19061760\"]\n  10 [size=\"69230080\", alpha=\"0.08\", expect_size=\"27692032\"] \n  10 -> 11 [size =\"27692032\"]\n  11 [size=\"128363520\", alpha=\"0.09\", expect_size=\"51345408\"] \n  11 -> 12 [size =\"51345408\"]\n  12 [size=\"104796160\", alpha=\"0.08\", expect_size=\"41918464\"] \n  12 -> 13 [size =\"41918464\"]\n  13 [size=\"82327040\", alpha=\"0.12\", expect_size=\"32930816\"] \n  13 -> 14 [size =\"32930816\"]\n  14 [size=\"61606400\", alpha=\"0.07\", expect_size=\"24642560\"] \n  14 -> 15 [size =\"24642560\"]\n  15 [size=\"126842880\", alpha=\"0.05\", expect_size=\"50737152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23480320\", alpha=\"0.17\", expect_size=\"9392128\"] \n  1 -> 12 [size =\"9392128\"]\n  2 [size=\"24929280\", alpha=\"0.04\", expect_size=\"9971712\"] \n  2 -> 9 [size =\"9971712\"]\n  2 -> 11 [size =\"9971712\"]\n  2 -> 12 [size =\"9971712\"]\n  3 [size=\"54627840\", alpha=\"0.11\", expect_size=\"21851136\"] \n  3 -> 7 [size =\"21851136\"]\n  3 -> 8 [size =\"21851136\"]\n  3 -> 10 [size =\"21851136\"]\n  4 [size=\"48913920\", alpha=\"0.01\", expect_size=\"19565568\"] \n  4 -> 7 [size =\"19565568\"]\n  4 -> 9 [size =\"19565568\"]\n  4 -> 10 [size =\"19565568\"]\n  4 -> 11 [size =\"19565568\"]\n  4 -> 12 [size =\"19565568\"]\n  5 [size=\"38945280\", alpha=\"0.20\", expect_size=\"15578112\"] \n  5 -> 7 [size =\"15578112\"]\n  5 -> 8 [size =\"15578112\"]\n  5 -> 9 [size =\"15578112\"]\n  5 -> 11 [size =\"15578112\"]\n  5 -> 12 [size =\"15578112\"]\n  6 [size=\"36162560\", alpha=\"0.17\", expect_size=\"14465024\"] \n  6 -> 9 [size =\"14465024\"]\n  7 [size=\"123077120\", alpha=\"0.00\", expect_size=\"49230848\"] \n  7 -> 13 [size =\"49230848\"]\n  8 [size=\"14466560\", alpha=\"0.16\", expect_size=\"5786624\"] \n  8 -> 13 [size =\"5786624\"]\n  9 [size=\"122897920\", alpha=\"0.09\", expect_size=\"49159168\"] \n  9 -> 13 [size =\"49159168\"]\n  9 -> 14 [size =\"49159168\"]\n  9 -> 15 [size =\"49159168\"]\n  10 [size=\"36615680\", alpha=\"0.03\", expect_size=\"14646272\"] \n  10 -> 13 [size =\"14646272\"]\n  10 -> 14 [size =\"14646272\"]\n  11 [size=\"18035200\", alpha=\"0.09\", expect_size=\"7214080\"] \n  11 -> 14 [size =\"7214080\"]\n  11 -> 14 [size =\"7214080\"]\n  11 -> 15 [size =\"7214080\"]\n  12 [size=\"117752320\", alpha=\"0.03\", expect_size=\"47100928\"] \n  13 [size=\"21360640\", alpha=\"0.02\", expect_size=\"8544256\"] \n  14 [size=\"83717120\", alpha=\"0.16\", expect_size=\"33486848\"] \n  15 [size=\"89699840\", alpha=\"0.10\", expect_size=\"35879936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74349227\", alpha=\"0.16\", expect_size=\"22304768\"] \n  1 -> 2 [size =\"22304768\"]\n  2 [size=\"24504320\", alpha=\"0.12\", expect_size=\"7351296\"] \n  2 -> 3 [size =\"7351296\"]\n  2 -> 4 [size =\"7351296\"]\n  3 [size=\"100928853\", alpha=\"0.14\", expect_size=\"30278656\"] \n  4 [size=\"17489920\", alpha=\"0.05\", expect_size=\"5246976\"] \n  4 -> 5 [size =\"5246976\"]\n  4 -> 6 [size =\"5246976\"]\n  5 [size=\"137547093\", alpha=\"0.12\", expect_size=\"41264128\"] \n  6 [size=\"136192000\", alpha=\"0.08\", expect_size=\"40857600\"] \n  6 -> 7 [size =\"40857600\"]\n  7 [size=\"114135040\", alpha=\"0.16\", expect_size=\"34240512\"] \n  7 -> 8 [size =\"34240512\"]\n  7 -> 9 [size =\"34240512\"]\n  8 [size=\"117794133\", alpha=\"0.11\", expect_size=\"35338240\"] \n  8 -> 10 [size =\"35338240\"]\n  9 [size=\"146046293\", alpha=\"0.17\", expect_size=\"43813888\"] \n  10 [size=\"111486293\", alpha=\"0.18\", expect_size=\"33445888\"] \n  10 -> 11 [size =\"33445888\"]\n  10 -> 12 [size =\"33445888\"]\n  11 [size=\"31153493\", alpha=\"0.00\", expect_size=\"9346048\"] \n  11 -> 13 [size =\"9346048\"]\n  12 [size=\"155770880\", alpha=\"0.04\", expect_size=\"46731264\"] \n  13 [size=\"89006080\", alpha=\"0.06\", expect_size=\"26701824\"] \n  13 -> 14 [size =\"26701824\"]\n  14 [size=\"40171520\", alpha=\"0.07\", expect_size=\"12051456\"] \n  14 -> 15 [size =\"12051456\"]\n  15 [size=\"81216853\", alpha=\"0.17\", expect_size=\"24365056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19563520\", alpha=\"0.11\", expect_size=\"7825408\"] \n  1 -> 15 [size =\"7825408\"]\n  2 [size=\"40302080\", alpha=\"0.17\", expect_size=\"16120832\"] \n  2 -> 11 [size =\"16120832\"]\n  2 -> 14 [size =\"16120832\"]\n  3 [size=\"120115200\", alpha=\"0.10\", expect_size=\"48046080\"] \n  3 -> 12 [size =\"48046080\"]\n  3 -> 13 [size =\"48046080\"]\n  3 -> 14 [size =\"48046080\"]\n  4 [size=\"93184000\", alpha=\"0.18\", expect_size=\"37273600\"] \n  4 -> 11 [size =\"37273600\"]\n  4 -> 12 [size =\"37273600\"]\n  4 -> 14 [size =\"37273600\"]\n  5 [size=\"74470400\", alpha=\"0.09\", expect_size=\"29788160\"] \n  5 -> 11 [size =\"29788160\"]\n  5 -> 12 [size =\"29788160\"]\n  6 [size=\"77987840\", alpha=\"0.20\", expect_size=\"31195136\"] \n  6 -> 11 [size =\"31195136\"]\n  6 -> 14 [size =\"31195136\"]\n  7 [size=\"28912640\", alpha=\"0.13\", expect_size=\"11565056\"] \n  7 -> 13 [size =\"11565056\"]\n  7 -> 14 [size =\"11565056\"]\n  8 [size=\"130209280\", alpha=\"0.01\", expect_size=\"52083712\"] \n  8 -> 11 [size =\"52083712\"]\n  8 -> 12 [size =\"52083712\"]\n  8 -> 13 [size =\"52083712\"]\n  8 -> 14 [size =\"52083712\"]\n  9 [size=\"90813440\", alpha=\"0.11\", expect_size=\"36325376\"] \n  9 -> 11 [size =\"36325376\"]\n  9 -> 12 [size =\"36325376\"]\n  9 -> 14 [size =\"36325376\"]\n  9 -> 14 [size =\"36325376\"]\n  10 [size=\"98434560\", alpha=\"0.14\", expect_size=\"39373824\"] \n  10 -> 12 [size =\"39373824\"]\n  10 -> 12 [size =\"39373824\"]\n  10 -> 13 [size =\"39373824\"]\n  11 [size=\"80189440\", alpha=\"0.01\", expect_size=\"32075776\"] \n  12 [size=\"26232320\", alpha=\"0.02\", expect_size=\"10492928\"] \n  13 [size=\"128153600\", alpha=\"0.16\", expect_size=\"51261440\"] \n  14 [size=\"69219840\", alpha=\"0.14\", expect_size=\"27687936\"] \n  15 [size=\"55792640\", alpha=\"0.05\", expect_size=\"22317056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169929387\", alpha=\"0.01\", expect_size=\"50978816\"] \n  1 -> 2 [size =\"50978816\"]\n  2 [size=\"150507520\", alpha=\"0.05\", expect_size=\"45152256\"] \n  2 -> 3 [size =\"45152256\"]\n  3 [size=\"56299520\", alpha=\"0.14\", expect_size=\"16889856\"] \n  3 -> 4 [size =\"16889856\"]\n  4 [size=\"155269120\", alpha=\"0.11\", expect_size=\"46580736\"] \n  4 -> 5 [size =\"46580736\"]\n  5 [size=\"109929813\", alpha=\"0.16\", expect_size=\"32978944\"] \n  5 -> 6 [size =\"32978944\"]\n  6 [size=\"155245227\", alpha=\"0.20\", expect_size=\"46573568\"] \n  6 -> 7 [size =\"46573568\"]\n  7 [size=\"100795733\", alpha=\"0.18\", expect_size=\"30238720\"] \n  7 -> 8 [size =\"30238720\"]\n  8 [size=\"126709760\", alpha=\"0.17\", expect_size=\"38012928\"] \n  8 -> 9 [size =\"38012928\"]\n  9 [size=\"49524053\", alpha=\"0.07\", expect_size=\"14857216\"] \n  9 -> 10 [size =\"14857216\"]\n  10 [size=\"126924800\", alpha=\"0.17\", expect_size=\"38077440\"] \n  10 -> 11 [size =\"38077440\"]\n  11 [size=\"125501440\", alpha=\"0.12\", expect_size=\"37650432\"] \n  11 -> 12 [size =\"37650432\"]\n  12 [size=\"135550293\", alpha=\"0.19\", expect_size=\"40665088\"] \n  12 -> 13 [size =\"40665088\"]\n  13 [size=\"19397973\", alpha=\"0.19\", expect_size=\"5819392\"] \n  13 -> 14 [size =\"5819392\"]\n  14 [size=\"131826347\", alpha=\"0.10\", expect_size=\"39547904\"] \n  14 -> 15 [size =\"39547904\"]\n  15 [size=\"61798400\", alpha=\"0.04\", expect_size=\"18539520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48394240\", alpha=\"0.12\", expect_size=\"24197120\"] \n  1 -> 2 [size =\"24197120\"]\n  2 [size=\"33908736\", alpha=\"0.09\", expect_size=\"16954368\"] \n  2 -> 3 [size =\"16954368\"]\n  3 [size=\"93026304\", alpha=\"0.10\", expect_size=\"46513152\"] \n  3 -> 4 [size =\"46513152\"]\n  4 [size=\"44326912\", alpha=\"0.10\", expect_size=\"22163456\"] \n  4 -> 5 [size =\"22163456\"]\n  5 [size=\"11139072\", alpha=\"0.20\", expect_size=\"5569536\"] \n  5 -> 6 [size =\"5569536\"]\n  6 [size=\"23863296\", alpha=\"0.20\", expect_size=\"11931648\"] \n  6 -> 7 [size =\"11931648\"]\n  7 [size=\"48949248\", alpha=\"0.15\", expect_size=\"24474624\"] \n  7 -> 8 [size =\"24474624\"]\n  8 [size=\"12558336\", alpha=\"0.16\", expect_size=\"6279168\"] \n  8 -> 9 [size =\"6279168\"]\n  9 [size=\"24799232\", alpha=\"0.17\", expect_size=\"12399616\"] \n  9 -> 10 [size =\"12399616\"]\n  10 [size=\"55676928\", alpha=\"0.19\", expect_size=\"27838464\"] \n  10 -> 11 [size =\"27838464\"]\n  11 [size=\"101689344\", alpha=\"0.12\", expect_size=\"50844672\"] \n  11 -> 12 [size =\"50844672\"]\n  12 [size=\"64724992\", alpha=\"0.15\", expect_size=\"32362496\"] \n  12 -> 13 [size =\"32362496\"]\n  13 [size=\"104835072\", alpha=\"0.04\", expect_size=\"52417536\"] \n  13 -> 14 [size =\"52417536\"]\n  14 [size=\"55691264\", alpha=\"0.14\", expect_size=\"27845632\"] \n  14 -> 15 [size =\"27845632\"]\n  15 [size=\"102930432\", alpha=\"0.13\", expect_size=\"51465216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109393920\", alpha=\"0.03\", expect_size=\"43757568\"] \n  1 -> 2 [size =\"43757568\"]\n  2 [size=\"28341760\", alpha=\"0.11\", expect_size=\"11336704\"] \n  2 -> 3 [size =\"11336704\"]\n  3 [size=\"128322560\", alpha=\"0.14\", expect_size=\"51329024\"] \n  3 -> 4 [size =\"51329024\"]\n  4 [size=\"108697600\", alpha=\"0.18\", expect_size=\"43479040\"] \n  4 -> 5 [size =\"43479040\"]\n  5 [size=\"59018240\", alpha=\"0.12\", expect_size=\"23607296\"] \n  5 -> 6 [size =\"23607296\"]\n  6 [size=\"56000000\", alpha=\"0.19\", expect_size=\"22400000\"] \n  6 -> 7 [size =\"22400000\"]\n  7 [size=\"99568640\", alpha=\"0.01\", expect_size=\"39827456\"] \n  7 -> 8 [size =\"39827456\"]\n  8 [size=\"105937920\", alpha=\"0.14\", expect_size=\"42375168\"] \n  8 -> 9 [size =\"42375168\"]\n  9 [size=\"75074560\", alpha=\"0.05\", expect_size=\"30029824\"] \n  9 -> 10 [size =\"30029824\"]\n  10 [size=\"92561920\", alpha=\"0.19\", expect_size=\"37024768\"] \n  10 -> 11 [size =\"37024768\"]\n  11 [size=\"88739840\", alpha=\"0.20\", expect_size=\"35495936\"] \n  11 -> 12 [size =\"35495936\"]\n  12 [size=\"104448000\", alpha=\"0.09\", expect_size=\"41779200\"] \n  12 -> 13 [size =\"41779200\"]\n  13 [size=\"53184000\", alpha=\"0.16\", expect_size=\"21273600\"] \n  13 -> 14 [size =\"21273600\"]\n  14 [size=\"19727360\", alpha=\"0.05\", expect_size=\"7890944\"] \n  14 -> 15 [size =\"7890944\"]\n  15 [size=\"127552000\", alpha=\"0.07\", expect_size=\"51020800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55355392\", alpha=\"0.10\", expect_size=\"27677696\"] \n  2 [size=\"104521728\", alpha=\"0.14\", expect_size=\"52260864\"] \n  2 -> 12 [size =\"52260864\"]\n  2 -> 13 [size =\"52260864\"]\n  3 [size=\"43528192\", alpha=\"0.12\", expect_size=\"21764096\"] \n  3 -> 13 [size =\"21764096\"]\n  4 [size=\"102291456\", alpha=\"0.16\", expect_size=\"51145728\"] \n  4 -> 13 [size =\"51145728\"]\n  5 [size=\"100282368\", alpha=\"0.08\", expect_size=\"50141184\"] \n  5 -> 13 [size =\"50141184\"]\n  6 [size=\"25800704\", alpha=\"0.16\", expect_size=\"12900352\"] \n  6 -> 14 [size =\"12900352\"]\n  6 -> 15 [size =\"12900352\"]\n  7 [size=\"30361600\", alpha=\"0.15\", expect_size=\"15180800\"] \n  7 -> 13 [size =\"15180800\"]\n  8 [size=\"100982784\", alpha=\"0.08\", expect_size=\"50491392\"] \n  8 -> 15 [size =\"50491392\"]\n  9 [size=\"89159680\", alpha=\"0.06\", expect_size=\"44579840\"] \n  9 -> 14 [size =\"44579840\"]\n  9 -> 15 [size =\"44579840\"]\n  10 [size=\"32223232\", alpha=\"0.16\", expect_size=\"16111616\"] \n  10 -> 14 [size =\"16111616\"]\n  11 [size=\"46323712\", alpha=\"0.04\", expect_size=\"23161856\"] \n  11 -> 15 [size =\"23161856\"]\n  12 [size=\"94863360\", alpha=\"0.03\", expect_size=\"47431680\"] \n  13 [size=\"68800512\", alpha=\"0.10\", expect_size=\"34400256\"] \n  14 [size=\"28778496\", alpha=\"0.13\", expect_size=\"14389248\"] \n  15 [size=\"104318976\", alpha=\"0.08\", expect_size=\"52159488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17246208\", alpha=\"0.19\", expect_size=\"8623104\"] \n  1 -> 7 [size =\"8623104\"]\n  1 -> 8 [size =\"8623104\"]\n  2 [size=\"25307136\", alpha=\"0.09\", expect_size=\"12653568\"] \n  2 -> 7 [size =\"12653568\"]\n  2 -> 10 [size =\"12653568\"]\n  2 -> 11 [size =\"12653568\"]\n  2 -> 12 [size =\"12653568\"]\n  3 [size=\"61476864\", alpha=\"0.16\", expect_size=\"30738432\"] \n  3 -> 8 [size =\"30738432\"]\n  3 -> 10 [size =\"30738432\"]\n  4 [size=\"50622464\", alpha=\"0.19\", expect_size=\"25311232\"] \n  4 -> 7 [size =\"25311232\"]\n  4 -> 8 [size =\"25311232\"]\n  4 -> 9 [size =\"25311232\"]\n  4 -> 12 [size =\"25311232\"]\n  5 [size=\"25382912\", alpha=\"0.14\", expect_size=\"12691456\"] \n  5 -> 8 [size =\"12691456\"]\n  5 -> 9 [size =\"12691456\"]\n  5 -> 10 [size =\"12691456\"]\n  5 -> 11 [size =\"12691456\"]\n  6 [size=\"95942656\", alpha=\"0.17\", expect_size=\"47971328\"] \n  6 -> 7 [size =\"47971328\"]\n  6 -> 12 [size =\"47971328\"]\n  7 [size=\"76312576\", alpha=\"0.14\", expect_size=\"38156288\"] \n  7 -> 13 [size =\"38156288\"]\n  8 [size=\"32466944\", alpha=\"0.05\", expect_size=\"16233472\"] \n  8 -> 14 [size =\"16233472\"]\n  8 -> 15 [size =\"16233472\"]\n  9 [size=\"74246144\", alpha=\"0.07\", expect_size=\"37123072\"] \n  9 -> 15 [size =\"37123072\"]\n  10 [size=\"89018368\", alpha=\"0.07\", expect_size=\"44509184\"] \n  10 -> 15 [size =\"44509184\"]\n  11 [size=\"49358848\", alpha=\"0.14\", expect_size=\"24679424\"] \n  11 -> 13 [size =\"24679424\"]\n  11 -> 14 [size =\"24679424\"]\n  12 [size=\"43407360\", alpha=\"0.01\", expect_size=\"21703680\"] \n  12 -> 13 [size =\"21703680\"]\n  13 [size=\"86798336\", alpha=\"0.03\", expect_size=\"43399168\"] \n  14 [size=\"67463168\", alpha=\"0.01\", expect_size=\"33731584\"] \n  15 [size=\"61149184\", alpha=\"0.06\", expect_size=\"30574592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36130133\", alpha=\"0.05\", expect_size=\"10839040\"] \n  1 -> 3 [size =\"10839040\"]\n  2 [size=\"98181120\", alpha=\"0.02\", expect_size=\"29454336\"] \n  2 -> 4 [size =\"29454336\"]\n  3 [size=\"113906347\", alpha=\"0.16\", expect_size=\"34171904\"] \n  4 [size=\"88142507\", alpha=\"0.06\", expect_size=\"26442752\"] \n  4 -> 5 [size =\"26442752\"]\n  5 [size=\"32109227\", alpha=\"0.04\", expect_size=\"9632768\"] \n  5 -> 6 [size =\"9632768\"]\n  5 -> 7 [size =\"9632768\"]\n  6 [size=\"147336533\", alpha=\"0.02\", expect_size=\"44200960\"] \n  6 -> 8 [size =\"44200960\"]\n  6 -> 9 [size =\"44200960\"]\n  7 [size=\"122241707\", alpha=\"0.02\", expect_size=\"36672512\"] \n  8 [size=\"112554667\", alpha=\"0.05\", expect_size=\"33766400\"] \n  8 -> 11 [size =\"33766400\"]\n  9 [size=\"67478187\", alpha=\"0.03\", expect_size=\"20243456\"] \n  9 -> 10 [size =\"20243456\"]\n  10 [size=\"127423147\", alpha=\"0.05\", expect_size=\"38226944\"] \n  10 -> 12 [size =\"38226944\"]\n  11 [size=\"82169173\", alpha=\"0.17\", expect_size=\"24650752\"] \n  12 [size=\"118548480\", alpha=\"0.16\", expect_size=\"35564544\"] \n  12 -> 13 [size =\"35564544\"]\n  13 [size=\"131372373\", alpha=\"0.00\", expect_size=\"39411712\"] \n  13 -> 14 [size =\"39411712\"]\n  14 [size=\"99560107\", alpha=\"0.00\", expect_size=\"29868032\"] \n  14 -> 15 [size =\"29868032\"]\n  15 [size=\"148862293\", alpha=\"0.09\", expect_size=\"44658688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79280640\", alpha=\"0.11\", expect_size=\"31712256\"] \n  1 -> 2 [size =\"31712256\"]\n  2 [size=\"13644800\", alpha=\"0.13\", expect_size=\"5457920\"] \n  2 -> 3 [size =\"5457920\"]\n  2 -> 4 [size =\"5457920\"]\n  3 [size=\"68613120\", alpha=\"0.10\", expect_size=\"27445248\"] \n  3 -> 6 [size =\"27445248\"]\n  4 [size=\"93624320\", alpha=\"0.07\", expect_size=\"37449728\"] \n  4 -> 5 [size =\"37449728\"]\n  5 [size=\"28392960\", alpha=\"0.11\", expect_size=\"11357184\"] \n  5 -> 8 [size =\"11357184\"]\n  6 [size=\"73103360\", alpha=\"0.20\", expect_size=\"29241344\"] \n  6 -> 7 [size =\"29241344\"]\n  7 [size=\"81894400\", alpha=\"0.19\", expect_size=\"32757760\"] \n  7 -> 9 [size =\"32757760\"]\n  8 [size=\"120258560\", alpha=\"0.16\", expect_size=\"48103424\"] \n  9 [size=\"83379200\", alpha=\"0.01\", expect_size=\"33351680\"] \n  9 -> 10 [size =\"33351680\"]\n  9 -> 11 [size =\"33351680\"]\n  10 [size=\"52920320\", alpha=\"0.01\", expect_size=\"21168128\"] \n  10 -> 12 [size =\"21168128\"]\n  10 -> 13 [size =\"21168128\"]\n  11 [size=\"83522560\", alpha=\"0.18\", expect_size=\"33409024\"] \n  12 [size=\"32455680\", alpha=\"0.17\", expect_size=\"12982272\"] \n  13 [size=\"108999680\", alpha=\"0.08\", expect_size=\"43599872\"] \n  13 -> 14 [size =\"43599872\"]\n  14 [size=\"51289600\", alpha=\"0.13\", expect_size=\"20515840\"] \n  14 -> 15 [size =\"20515840\"]\n  15 [size=\"92966400\", alpha=\"0.06\", expect_size=\"37186560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87576576\", alpha=\"0.15\", expect_size=\"43788288\"] \n  1 -> 3 [size =\"43788288\"]\n  2 [size=\"24946688\", alpha=\"0.16\", expect_size=\"12473344\"] \n  3 [size=\"87173120\", alpha=\"0.15\", expect_size=\"43586560\"] \n  3 -> 4 [size =\"43586560\"]\n  3 -> 5 [size =\"43586560\"]\n  3 -> 6 [size =\"43586560\"]\n  3 -> 7 [size =\"43586560\"]\n  4 [size=\"43159552\", alpha=\"0.10\", expect_size=\"21579776\"] \n  4 -> 8 [size =\"21579776\"]\n  4 -> 9 [size =\"21579776\"]\n  4 -> 10 [size =\"21579776\"]\n  5 [size=\"17383424\", alpha=\"0.09\", expect_size=\"8691712\"] \n  5 -> 8 [size =\"8691712\"]\n  5 -> 9 [size =\"8691712\"]\n  5 -> 10 [size =\"8691712\"]\n  6 [size=\"29896704\", alpha=\"0.00\", expect_size=\"14948352\"] \n  6 -> 8 [size =\"14948352\"]\n  6 -> 9 [size =\"14948352\"]\n  6 -> 10 [size =\"14948352\"]\n  7 [size=\"48750592\", alpha=\"0.17\", expect_size=\"24375296\"] \n  7 -> 8 [size =\"24375296\"]\n  7 -> 9 [size =\"24375296\"]\n  8 [size=\"40476672\", alpha=\"0.07\", expect_size=\"20238336\"] \n  8 -> 11 [size =\"20238336\"]\n  9 [size=\"45740032\", alpha=\"0.18\", expect_size=\"22870016\"] \n  9 -> 11 [size =\"22870016\"]\n  10 [size=\"46010368\", alpha=\"0.19\", expect_size=\"23005184\"] \n  11 [size=\"36292608\", alpha=\"0.18\", expect_size=\"18146304\"] \n  11 -> 12 [size =\"18146304\"]\n  11 -> 13 [size =\"18146304\"]\n  12 [size=\"12849152\", alpha=\"0.05\", expect_size=\"6424576\"] \n  12 -> 14 [size =\"6424576\"]\n  13 [size=\"86796288\", alpha=\"0.19\", expect_size=\"43398144\"] \n  13 -> 14 [size =\"43398144\"]\n  14 [size=\"61112320\", alpha=\"0.12\", expect_size=\"30556160\"] \n  14 -> 15 [size =\"30556160\"]\n  15 [size=\"13717504\", alpha=\"0.13\", expect_size=\"6858752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57188352\", alpha=\"0.15\", expect_size=\"28594176\"] \n  1 -> 2 [size =\"28594176\"]\n  2 [size=\"27209728\", alpha=\"0.13\", expect_size=\"13604864\"] \n  2 -> 3 [size =\"13604864\"]\n  3 [size=\"96706560\", alpha=\"0.14\", expect_size=\"48353280\"] \n  3 -> 4 [size =\"48353280\"]\n  4 [size=\"71921664\", alpha=\"0.02\", expect_size=\"35960832\"] \n  4 -> 5 [size =\"35960832\"]\n  5 [size=\"53696512\", alpha=\"0.12\", expect_size=\"26848256\"] \n  5 -> 6 [size =\"26848256\"]\n  6 [size=\"85716992\", alpha=\"0.05\", expect_size=\"42858496\"] \n  6 -> 7 [size =\"42858496\"]\n  7 [size=\"65992704\", alpha=\"0.07\", expect_size=\"32996352\"] \n  7 -> 8 [size =\"32996352\"]\n  8 [size=\"49100800\", alpha=\"0.07\", expect_size=\"24550400\"] \n  8 -> 9 [size =\"24550400\"]\n  9 [size=\"19150848\", alpha=\"0.10\", expect_size=\"9575424\"] \n  9 -> 10 [size =\"9575424\"]\n  10 [size=\"61024256\", alpha=\"0.12\", expect_size=\"30512128\"] \n  10 -> 11 [size =\"30512128\"]\n  11 [size=\"51640320\", alpha=\"0.01\", expect_size=\"25820160\"] \n  11 -> 12 [size =\"25820160\"]\n  12 [size=\"27783168\", alpha=\"0.16\", expect_size=\"13891584\"] \n  12 -> 13 [size =\"13891584\"]\n  13 [size=\"88547328\", alpha=\"0.16\", expect_size=\"44273664\"] \n  13 -> 14 [size =\"44273664\"]\n  14 [size=\"58771456\", alpha=\"0.12\", expect_size=\"29385728\"] \n  14 -> 15 [size =\"29385728\"]\n  15 [size=\"67334144\", alpha=\"0.18\", expect_size=\"33667072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43998720\", alpha=\"0.02\", expect_size=\"17599488\"] \n  1 -> 3 [size =\"17599488\"]\n  1 -> 4 [size =\"17599488\"]\n  1 -> 5 [size =\"17599488\"]\n  1 -> 6 [size =\"17599488\"]\n  2 [size=\"106629120\", alpha=\"0.03\", expect_size=\"42651648\"] \n  2 -> 3 [size =\"42651648\"]\n  2 -> 4 [size =\"42651648\"]\n  2 -> 5 [size =\"42651648\"]\n  2 -> 6 [size =\"42651648\"]\n  3 [size=\"44556800\", alpha=\"0.14\", expect_size=\"17822720\"] \n  3 -> 7 [size =\"17822720\"]\n  4 [size=\"58268160\", alpha=\"0.17\", expect_size=\"23307264\"] \n  4 -> 7 [size =\"23307264\"]\n  4 -> 8 [size =\"23307264\"]\n  5 [size=\"45516800\", alpha=\"0.12\", expect_size=\"18206720\"] \n  5 -> 7 [size =\"18206720\"]\n  5 -> 8 [size =\"18206720\"]\n  6 [size=\"106017280\", alpha=\"0.18\", expect_size=\"42406912\"] \n  6 -> 7 [size =\"42406912\"]\n  7 [size=\"63326720\", alpha=\"0.05\", expect_size=\"25330688\"] \n  7 -> 9 [size =\"25330688\"]\n  7 -> 10 [size =\"25330688\"]\n  7 -> 11 [size =\"25330688\"]\n  7 -> 12 [size =\"25330688\"]\n  8 [size=\"73180160\", alpha=\"0.00\", expect_size=\"29272064\"] \n  8 -> 9 [size =\"29272064\"]\n  8 -> 10 [size =\"29272064\"]\n  8 -> 11 [size =\"29272064\"]\n  8 -> 12 [size =\"29272064\"]\n  9 [size=\"100167680\", alpha=\"0.08\", expect_size=\"40067072\"] \n  9 -> 13 [size =\"40067072\"]\n  9 -> 14 [size =\"40067072\"]\n  9 -> 15 [size =\"40067072\"]\n  10 [size=\"94661120\", alpha=\"0.08\", expect_size=\"37864448\"] \n  10 -> 14 [size =\"37864448\"]\n  10 -> 15 [size =\"37864448\"]\n  11 [size=\"92976640\", alpha=\"0.14\", expect_size=\"37190656\"] \n  11 -> 13 [size =\"37190656\"]\n  11 -> 14 [size =\"37190656\"]\n  11 -> 15 [size =\"37190656\"]\n  12 [size=\"102753280\", alpha=\"0.05\", expect_size=\"41101312\"] \n  12 -> 13 [size =\"41101312\"]\n  12 -> 14 [size =\"41101312\"]\n  12 -> 15 [size =\"41101312\"]\n  13 [size=\"120476160\", alpha=\"0.02\", expect_size=\"48190464\"] \n  14 [size=\"86602240\", alpha=\"0.20\", expect_size=\"34640896\"] \n  15 [size=\"66652160\", alpha=\"0.01\", expect_size=\"26660864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69710507\", alpha=\"0.06\", expect_size=\"20913152\"] \n  1 -> 2 [size =\"20913152\"]\n  2 [size=\"166700373\", alpha=\"0.09\", expect_size=\"50010112\"] \n  2 -> 3 [size =\"50010112\"]\n  3 [size=\"116432213\", alpha=\"0.13\", expect_size=\"34929664\"] \n  3 -> 4 [size =\"34929664\"]\n  4 [size=\"28146347\", alpha=\"0.09\", expect_size=\"8443904\"] \n  4 -> 5 [size =\"8443904\"]\n  5 [size=\"54937600\", alpha=\"0.07\", expect_size=\"16481280\"] \n  5 -> 6 [size =\"16481280\"]\n  6 [size=\"58265600\", alpha=\"0.03\", expect_size=\"17479680\"] \n  6 -> 7 [size =\"17479680\"]\n  7 [size=\"137103360\", alpha=\"0.20\", expect_size=\"41131008\"] \n  7 -> 8 [size =\"41131008\"]\n  8 [size=\"90531840\", alpha=\"0.13\", expect_size=\"27159552\"] \n  8 -> 9 [size =\"27159552\"]\n  9 [size=\"75465387\", alpha=\"0.17\", expect_size=\"22639616\"] \n  9 -> 10 [size =\"22639616\"]\n  10 [size=\"168403627\", alpha=\"0.03\", expect_size=\"50521088\"] \n  10 -> 11 [size =\"50521088\"]\n  11 [size=\"68775253\", alpha=\"0.17\", expect_size=\"20632576\"] \n  11 -> 12 [size =\"20632576\"]\n  12 [size=\"116568747\", alpha=\"0.15\", expect_size=\"34970624\"] \n  12 -> 13 [size =\"34970624\"]\n  13 [size=\"27374933\", alpha=\"0.11\", expect_size=\"8212480\"] \n  13 -> 14 [size =\"8212480\"]\n  14 [size=\"132532907\", alpha=\"0.05\", expect_size=\"39759872\"] \n  14 -> 15 [size =\"39759872\"]\n  15 [size=\"42772480\", alpha=\"0.19\", expect_size=\"12831744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34334720\", alpha=\"0.14\", expect_size=\"10300416\"] \n  1 -> 12 [size =\"10300416\"]\n  1 -> 13 [size =\"10300416\"]\n  2 [size=\"119159467\", alpha=\"0.05\", expect_size=\"35747840\"] \n  2 -> 12 [size =\"35747840\"]\n  2 -> 13 [size =\"35747840\"]\n  3 [size=\"98713600\", alpha=\"0.04\", expect_size=\"29614080\"] \n  3 -> 15 [size =\"29614080\"]\n  4 [size=\"82981547\", alpha=\"0.18\", expect_size=\"24894464\"] \n  4 -> 12 [size =\"24894464\"]\n  4 -> 14 [size =\"24894464\"]\n  4 -> 15 [size =\"24894464\"]\n  5 [size=\"151521280\", alpha=\"0.01\", expect_size=\"45456384\"] \n  5 -> 12 [size =\"45456384\"]\n  5 -> 13 [size =\"45456384\"]\n  6 [size=\"148913493\", alpha=\"0.05\", expect_size=\"44674048\"] \n  6 -> 11 [size =\"44674048\"]\n  6 -> 14 [size =\"44674048\"]\n  6 -> 15 [size =\"44674048\"]\n  7 [size=\"109011627\", alpha=\"0.04\", expect_size=\"32703488\"] \n  8 [size=\"161621333\", alpha=\"0.13\", expect_size=\"48486400\"] \n  8 -> 12 [size =\"48486400\"]\n  8 -> 13 [size =\"48486400\"]\n  9 [size=\"152135680\", alpha=\"0.18\", expect_size=\"45640704\"] \n  9 -> 11 [size =\"45640704\"]\n  9 -> 15 [size =\"45640704\"]\n  10 [size=\"17974613\", alpha=\"0.04\", expect_size=\"5392384\"] \n  11 [size=\"34952533\", alpha=\"0.10\", expect_size=\"10485760\"] \n  12 [size=\"148927147\", alpha=\"0.15\", expect_size=\"44678144\"] \n  13 [size=\"33529173\", alpha=\"0.03\", expect_size=\"10058752\"] \n  14 [size=\"63733760\", alpha=\"0.11\", expect_size=\"19120128\"] \n  15 [size=\"51872427\", alpha=\"0.16\", expect_size=\"15561728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74303488\", alpha=\"0.07\", expect_size=\"37151744\"] \n  1 -> 2 [size =\"37151744\"]\n  2 [size=\"32022528\", alpha=\"0.05\", expect_size=\"16011264\"] \n  2 -> 3 [size =\"16011264\"]\n  3 [size=\"43872256\", alpha=\"0.13\", expect_size=\"21936128\"] \n  3 -> 4 [size =\"21936128\"]\n  4 [size=\"104407040\", alpha=\"0.16\", expect_size=\"52203520\"] \n  4 -> 5 [size =\"52203520\"]\n  5 [size=\"60561408\", alpha=\"0.13\", expect_size=\"30280704\"] \n  5 -> 6 [size =\"30280704\"]\n  6 [size=\"79902720\", alpha=\"0.01\", expect_size=\"39951360\"] \n  6 -> 7 [size =\"39951360\"]\n  7 [size=\"100071424\", alpha=\"0.13\", expect_size=\"50035712\"] \n  7 -> 8 [size =\"50035712\"]\n  8 [size=\"61333504\", alpha=\"0.00\", expect_size=\"30666752\"] \n  8 -> 9 [size =\"30666752\"]\n  9 [size=\"73512960\", alpha=\"0.15\", expect_size=\"36756480\"] \n  9 -> 10 [size =\"36756480\"]\n  10 [size=\"49170432\", alpha=\"0.15\", expect_size=\"24585216\"] \n  10 -> 11 [size =\"24585216\"]\n  11 [size=\"33832960\", alpha=\"0.04\", expect_size=\"16916480\"] \n  11 -> 12 [size =\"16916480\"]\n  12 [size=\"68417536\", alpha=\"0.05\", expect_size=\"34208768\"] \n  12 -> 13 [size =\"34208768\"]\n  13 [size=\"90056704\", alpha=\"0.08\", expect_size=\"45028352\"] \n  13 -> 14 [size =\"45028352\"]\n  14 [size=\"58128384\", alpha=\"0.10\", expect_size=\"29064192\"] \n  14 -> 15 [size =\"29064192\"]\n  15 [size=\"37281792\", alpha=\"0.12\", expect_size=\"18640896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108591787\", alpha=\"0.18\", expect_size=\"32577536\"] \n  1 -> 2 [size =\"32577536\"]\n  2 [size=\"32505173\", alpha=\"0.07\", expect_size=\"9751552\"] \n  2 -> 3 [size =\"9751552\"]\n  3 [size=\"86644053\", alpha=\"0.08\", expect_size=\"25993216\"] \n  3 -> 4 [size =\"25993216\"]\n  4 [size=\"84787200\", alpha=\"0.03\", expect_size=\"25436160\"] \n  4 -> 5 [size =\"25436160\"]\n  5 [size=\"78888960\", alpha=\"0.15\", expect_size=\"23666688\"] \n  5 -> 6 [size =\"23666688\"]\n  6 [size=\"163894613\", alpha=\"0.20\", expect_size=\"49168384\"] \n  6 -> 7 [size =\"49168384\"]\n  7 [size=\"134393173\", alpha=\"0.19\", expect_size=\"40317952\"] \n  7 -> 8 [size =\"40317952\"]\n  8 [size=\"59443200\", alpha=\"0.08\", expect_size=\"17832960\"] \n  8 -> 9 [size =\"17832960\"]\n  9 [size=\"174417920\", alpha=\"0.02\", expect_size=\"52325376\"] \n  9 -> 10 [size =\"52325376\"]\n  10 [size=\"104454827\", alpha=\"0.14\", expect_size=\"31336448\"] \n  10 -> 11 [size =\"31336448\"]\n  11 [size=\"152917333\", alpha=\"0.10\", expect_size=\"45875200\"] \n  11 -> 12 [size =\"45875200\"]\n  12 [size=\"134068907\", alpha=\"0.07\", expect_size=\"40220672\"] \n  12 -> 13 [size =\"40220672\"]\n  13 [size=\"32839680\", alpha=\"0.07\", expect_size=\"9851904\"] \n  13 -> 14 [size =\"9851904\"]\n  14 [size=\"93078187\", alpha=\"0.18\", expect_size=\"27923456\"] \n  14 -> 15 [size =\"27923456\"]\n  15 [size=\"120405333\", alpha=\"0.13\", expect_size=\"36121600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35968000\", alpha=\"0.19\", expect_size=\"14387200\"] \n  1 -> 6 [size =\"14387200\"]\n  1 -> 8 [size =\"14387200\"]\n  1 -> 9 [size =\"14387200\"]\n  1 -> 10 [size =\"14387200\"]\n  2 [size=\"123292160\", alpha=\"0.07\", expect_size=\"49316864\"] \n  2 -> 6 [size =\"49316864\"]\n  2 -> 8 [size =\"49316864\"]\n  2 -> 9 [size =\"49316864\"]\n  2 -> 11 [size =\"49316864\"]\n  3 [size=\"59837440\", alpha=\"0.08\", expect_size=\"23934976\"] \n  3 -> 6 [size =\"23934976\"]\n  3 -> 8 [size =\"23934976\"]\n  3 -> 9 [size =\"23934976\"]\n  4 [size=\"113121280\", alpha=\"0.16\", expect_size=\"45248512\"] \n  4 -> 6 [size =\"45248512\"]\n  4 -> 7 [size =\"45248512\"]\n  4 -> 8 [size =\"45248512\"]\n  4 -> 9 [size =\"45248512\"]\n  5 [size=\"73781760\", alpha=\"0.08\", expect_size=\"29512704\"] \n  5 -> 9 [size =\"29512704\"]\n  6 [size=\"72197120\", alpha=\"0.10\", expect_size=\"28878848\"] \n  6 -> 12 [size =\"28878848\"]\n  6 -> 13 [size =\"28878848\"]\n  6 -> 15 [size =\"28878848\"]\n  7 [size=\"21460480\", alpha=\"0.13\", expect_size=\"8584192\"] \n  7 -> 13 [size =\"8584192\"]\n  7 -> 14 [size =\"8584192\"]\n  7 -> 15 [size =\"8584192\"]\n  8 [size=\"120924160\", alpha=\"0.02\", expect_size=\"48369664\"] \n  8 -> 13 [size =\"48369664\"]\n  8 -> 15 [size =\"48369664\"]\n  8 -> 15 [size =\"48369664\"]\n  9 [size=\"50060800\", alpha=\"0.18\", expect_size=\"20024320\"] \n  9 -> 13 [size =\"20024320\"]\n  9 -> 14 [size =\"20024320\"]\n  9 -> 15 [size =\"20024320\"]\n  10 [size=\"95738880\", alpha=\"0.09\", expect_size=\"38295552\"] \n  10 -> 13 [size =\"38295552\"]\n  10 -> 15 [size =\"38295552\"]\n  11 [size=\"27832320\", alpha=\"0.06\", expect_size=\"11132928\"] \n  11 -> 13 [size =\"11132928\"]\n  12 [size=\"24622080\", alpha=\"0.07\", expect_size=\"9848832\"] \n  13 [size=\"66017280\", alpha=\"0.12\", expect_size=\"26406912\"] \n  14 [size=\"111951360\", alpha=\"0.06\", expect_size=\"44780544\"] \n  15 [size=\"88760320\", alpha=\"0.09\", expect_size=\"35504128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99781973\", alpha=\"0.04\", expect_size=\"29934592\"] \n  1 -> 9 [size =\"29934592\"]\n  1 -> 12 [size =\"29934592\"]\n  1 -> 15 [size =\"29934592\"]\n  2 [size=\"81483093\", alpha=\"0.12\", expect_size=\"24444928\"] \n  2 -> 9 [size =\"24444928\"]\n  2 -> 14 [size =\"24444928\"]\n  2 -> 15 [size =\"24444928\"]\n  3 [size=\"167372800\", alpha=\"0.15\", expect_size=\"50211840\"] \n  3 -> 8 [size =\"50211840\"]\n  3 -> 9 [size =\"50211840\"]\n  3 -> 11 [size =\"50211840\"]\n  3 -> 12 [size =\"50211840\"]\n  3 -> 14 [size =\"50211840\"]\n  3 -> 15 [size =\"50211840\"]\n  4 [size=\"128006827\", alpha=\"0.17\", expect_size=\"38402048\"] \n  4 -> 13 [size =\"38402048\"]\n  5 [size=\"139260587\", alpha=\"0.00\", expect_size=\"41778176\"] \n  5 -> 9 [size =\"41778176\"]\n  5 -> 10 [size =\"41778176\"]\n  5 -> 12 [size =\"41778176\"]\n  5 -> 14 [size =\"41778176\"]\n  6 [size=\"164812800\", alpha=\"0.10\", expect_size=\"49443840\"] \n  6 -> 10 [size =\"49443840\"]\n  6 -> 11 [size =\"49443840\"]\n  6 -> 13 [size =\"49443840\"]\n  7 [size=\"40287573\", alpha=\"0.16\", expect_size=\"12086272\"] \n  7 -> 13 [size =\"12086272\"]\n  7 -> 15 [size =\"12086272\"]\n  8 [size=\"153722880\", alpha=\"0.19\", expect_size=\"46116864\"] \n  9 [size=\"97856853\", alpha=\"0.12\", expect_size=\"29357056\"] \n  10 [size=\"172520107\", alpha=\"0.16\", expect_size=\"51756032\"] \n  11 [size=\"79189333\", alpha=\"0.12\", expect_size=\"23756800\"] \n  12 [size=\"109032107\", alpha=\"0.05\", expect_size=\"32709632\"] \n  13 [size=\"48950613\", alpha=\"0.06\", expect_size=\"14685184\"] \n  14 [size=\"168120320\", alpha=\"0.19\", expect_size=\"50436096\"] \n  15 [size=\"140878507\", alpha=\"0.17\", expect_size=\"42263552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113080320\", alpha=\"0.09\", expect_size=\"45232128\"] \n  1 -> 2 [size =\"45232128\"]\n  2 [size=\"44677120\", alpha=\"0.16\", expect_size=\"17870848\"] \n  2 -> 3 [size =\"17870848\"]\n  3 [size=\"105185280\", alpha=\"0.02\", expect_size=\"42074112\"] \n  3 -> 4 [size =\"42074112\"]\n  4 [size=\"110302720\", alpha=\"0.19\", expect_size=\"44121088\"] \n  4 -> 5 [size =\"44121088\"]\n  5 [size=\"23165440\", alpha=\"0.13\", expect_size=\"9266176\"] \n  5 -> 6 [size =\"9266176\"]\n  6 [size=\"90094080\", alpha=\"0.07\", expect_size=\"36037632\"] \n  6 -> 7 [size =\"36037632\"]\n  7 [size=\"46735360\", alpha=\"0.08\", expect_size=\"18694144\"] \n  7 -> 8 [size =\"18694144\"]\n  8 [size=\"29401600\", alpha=\"0.03\", expect_size=\"11760640\"] \n  8 -> 9 [size =\"11760640\"]\n  9 [size=\"96550400\", alpha=\"0.08\", expect_size=\"38620160\"] \n  9 -> 10 [size =\"38620160\"]\n  10 [size=\"100387840\", alpha=\"0.07\", expect_size=\"40155136\"] \n  10 -> 11 [size =\"40155136\"]\n  11 [size=\"13621760\", alpha=\"0.14\", expect_size=\"5448704\"] \n  11 -> 12 [size =\"5448704\"]\n  12 [size=\"69460480\", alpha=\"0.01\", expect_size=\"27784192\"] \n  12 -> 13 [size =\"27784192\"]\n  13 [size=\"45765120\", alpha=\"0.16\", expect_size=\"18306048\"] \n  13 -> 14 [size =\"18306048\"]\n  14 [size=\"59842560\", alpha=\"0.05\", expect_size=\"23937024\"] \n  14 -> 15 [size =\"23937024\"]\n  15 [size=\"53143040\", alpha=\"0.11\", expect_size=\"21257216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80969728\", alpha=\"0.05\", expect_size=\"40484864\"] \n  2 [size=\"35182592\", alpha=\"0.20\", expect_size=\"17591296\"] \n  2 -> 3 [size =\"17591296\"]\n  3 [size=\"24459264\", alpha=\"0.19\", expect_size=\"12229632\"] \n  3 -> 4 [size =\"12229632\"]\n  4 [size=\"93716480\", alpha=\"0.17\", expect_size=\"46858240\"] \n  4 -> 5 [size =\"46858240\"]\n  5 [size=\"83607552\", alpha=\"0.07\", expect_size=\"41803776\"] \n  5 -> 6 [size =\"41803776\"]\n  6 [size=\"101697536\", alpha=\"0.05\", expect_size=\"50848768\"] \n  6 -> 7 [size =\"50848768\"]\n  6 -> 8 [size =\"50848768\"]\n  7 [size=\"92895232\", alpha=\"0.06\", expect_size=\"46447616\"] \n  7 -> 9 [size =\"46447616\"]\n  8 [size=\"20774912\", alpha=\"0.15\", expect_size=\"10387456\"] \n  8 -> 9 [size =\"10387456\"]\n  9 [size=\"95565824\", alpha=\"0.01\", expect_size=\"47782912\"] \n  9 -> 10 [size =\"47782912\"]\n  10 [size=\"17967104\", alpha=\"0.17\", expect_size=\"8983552\"] \n  10 -> 11 [size =\"8983552\"]\n  11 [size=\"98523136\", alpha=\"0.08\", expect_size=\"49261568\"] \n  11 -> 12 [size =\"49261568\"]\n  12 [size=\"27238400\", alpha=\"0.12\", expect_size=\"13619200\"] \n  12 -> 13 [size =\"13619200\"]\n  12 -> 14 [size =\"13619200\"]\n  13 [size=\"27099136\", alpha=\"0.16\", expect_size=\"13549568\"] \n  14 [size=\"21446656\", alpha=\"0.08\", expect_size=\"10723328\"] \n  14 -> 15 [size =\"10723328\"]\n  15 [size=\"102361088\", alpha=\"0.16\", expect_size=\"51180544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104219307\", alpha=\"0.07\", expect_size=\"31265792\"] \n  1 -> 11 [size =\"31265792\"]\n  1 -> 13 [size =\"31265792\"]\n  2 [size=\"69570560\", alpha=\"0.20\", expect_size=\"20871168\"] \n  2 -> 8 [size =\"20871168\"]\n  2 -> 11 [size =\"20871168\"]\n  2 -> 13 [size =\"20871168\"]\n  3 [size=\"84718933\", alpha=\"0.15\", expect_size=\"25415680\"] \n  3 -> 8 [size =\"25415680\"]\n  3 -> 13 [size =\"25415680\"]\n  4 [size=\"171055787\", alpha=\"0.08\", expect_size=\"51316736\"] \n  4 -> 11 [size =\"51316736\"]\n  4 -> 14 [size =\"51316736\"]\n  5 [size=\"142496427\", alpha=\"0.12\", expect_size=\"42748928\"] \n  6 [size=\"154845867\", alpha=\"0.16\", expect_size=\"46453760\"] \n  6 -> 8 [size =\"46453760\"]\n  6 -> 9 [size =\"46453760\"]\n  6 -> 10 [size =\"46453760\"]\n  6 -> 12 [size =\"46453760\"]\n  6 -> 15 [size =\"46453760\"]\n  7 [size=\"51432107\", alpha=\"0.07\", expect_size=\"15429632\"] \n  8 [size=\"87521280\", alpha=\"0.09\", expect_size=\"26256384\"] \n  9 [size=\"68061867\", alpha=\"0.11\", expect_size=\"20418560\"] \n  10 [size=\"86865920\", alpha=\"0.05\", expect_size=\"26059776\"] \n  11 [size=\"68123307\", alpha=\"0.08\", expect_size=\"20436992\"] \n  12 [size=\"126266027\", alpha=\"0.05\", expect_size=\"37879808\"] \n  13 [size=\"124016640\", alpha=\"0.07\", expect_size=\"37204992\"] \n  14 [size=\"87688533\", alpha=\"0.00\", expect_size=\"26306560\"] \n  15 [size=\"148326400\", alpha=\"0.13\", expect_size=\"44497920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93506560\", alpha=\"0.13\", expect_size=\"37402624\"] \n  1 -> 2 [size =\"37402624\"]\n  2 [size=\"40578560\", alpha=\"0.12\", expect_size=\"16231424\"] \n  2 -> 3 [size =\"16231424\"]\n  2 -> 4 [size =\"16231424\"]\n  3 [size=\"75998720\", alpha=\"0.00\", expect_size=\"30399488\"] \n  3 -> 5 [size =\"30399488\"]\n  4 [size=\"82961920\", alpha=\"0.01\", expect_size=\"33184768\"] \n  4 -> 5 [size =\"33184768\"]\n  5 [size=\"25902080\", alpha=\"0.07\", expect_size=\"10360832\"] \n  5 -> 6 [size =\"10360832\"]\n  6 [size=\"106081280\", alpha=\"0.04\", expect_size=\"42432512\"] \n  6 -> 7 [size =\"42432512\"]\n  7 [size=\"118195200\", alpha=\"0.10\", expect_size=\"47278080\"] \n  7 -> 8 [size =\"47278080\"]\n  7 -> 9 [size =\"47278080\"]\n  8 [size=\"46146560\", alpha=\"0.15\", expect_size=\"18458624\"] \n  8 -> 10 [size =\"18458624\"]\n  9 [size=\"81397760\", alpha=\"0.12\", expect_size=\"32559104\"] \n  9 -> 10 [size =\"32559104\"]\n  10 [size=\"127872000\", alpha=\"0.03\", expect_size=\"51148800\"] \n  10 -> 11 [size =\"51148800\"]\n  10 -> 12 [size =\"51148800\"]\n  11 [size=\"106795520\", alpha=\"0.04\", expect_size=\"42718208\"] \n  11 -> 13 [size =\"42718208\"]\n  11 -> 14 [size =\"42718208\"]\n  12 [size=\"64983040\", alpha=\"0.18\", expect_size=\"25993216\"] \n  12 -> 13 [size =\"25993216\"]\n  13 [size=\"17889280\", alpha=\"0.18\", expect_size=\"7155712\"] \n  13 -> 15 [size =\"7155712\"]\n  14 [size=\"17994240\", alpha=\"0.08\", expect_size=\"7197696\"] \n  15 [size=\"23257600\", alpha=\"0.13\", expect_size=\"9303040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99913728\", alpha=\"0.03\", expect_size=\"49956864\"] \n  1 -> 12 [size =\"49956864\"]\n  1 -> 15 [size =\"49956864\"]\n  2 [size=\"74399744\", alpha=\"0.20\", expect_size=\"37199872\"] \n  3 [size=\"95555584\", alpha=\"0.17\", expect_size=\"47777792\"] \n  3 -> 10 [size =\"47777792\"]\n  4 [size=\"10795008\", alpha=\"0.05\", expect_size=\"5397504\"] \n  4 -> 13 [size =\"5397504\"]\n  4 -> 14 [size =\"5397504\"]\n  4 -> 15 [size =\"5397504\"]\n  5 [size=\"30642176\", alpha=\"0.09\", expect_size=\"15321088\"] \n  5 -> 13 [size =\"15321088\"]\n  5 -> 15 [size =\"15321088\"]\n  6 [size=\"63207424\", alpha=\"0.06\", expect_size=\"31603712\"] \n  6 -> 13 [size =\"31603712\"]\n  7 [size=\"32499712\", alpha=\"0.09\", expect_size=\"16249856\"] \n  7 -> 11 [size =\"16249856\"]\n  7 -> 13 [size =\"16249856\"]\n  8 [size=\"43180032\", alpha=\"0.06\", expect_size=\"21590016\"] \n  8 -> 13 [size =\"21590016\"]\n  9 [size=\"29612032\", alpha=\"0.07\", expect_size=\"14806016\"] \n  10 [size=\"11679744\", alpha=\"0.08\", expect_size=\"5839872\"] \n  11 [size=\"31918080\", alpha=\"0.06\", expect_size=\"15959040\"] \n  12 [size=\"47570944\", alpha=\"0.07\", expect_size=\"23785472\"] \n  13 [size=\"45961216\", alpha=\"0.12\", expect_size=\"22980608\"] \n  14 [size=\"30779392\", alpha=\"0.09\", expect_size=\"15389696\"] \n  15 [size=\"54175744\", alpha=\"0.01\", expect_size=\"27087872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107646293\", alpha=\"0.08\", expect_size=\"32293888\"] \n  1 -> 4 [size =\"32293888\"]\n  1 -> 6 [size =\"32293888\"]\n  2 [size=\"73861120\", alpha=\"0.13\", expect_size=\"22158336\"] \n  2 -> 5 [size =\"22158336\"]\n  3 [size=\"151483733\", alpha=\"0.00\", expect_size=\"45445120\"] \n  3 -> 4 [size =\"45445120\"]\n  3 -> 6 [size =\"45445120\"]\n  4 [size=\"147496960\", alpha=\"0.16\", expect_size=\"44249088\"] \n  4 -> 7 [size =\"44249088\"]\n  5 [size=\"119367680\", alpha=\"0.04\", expect_size=\"35810304\"] \n  6 [size=\"152036693\", alpha=\"0.03\", expect_size=\"45611008\"] \n  6 -> 7 [size =\"45611008\"]\n  7 [size=\"139390293\", alpha=\"0.13\", expect_size=\"41817088\"] \n  7 -> 8 [size =\"41817088\"]\n  7 -> 9 [size =\"41817088\"]\n  7 -> 10 [size =\"41817088\"]\n  8 [size=\"105072640\", alpha=\"0.01\", expect_size=\"31521792\"] \n  9 [size=\"66136747\", alpha=\"0.02\", expect_size=\"19841024\"] \n  9 -> 11 [size =\"19841024\"]\n  9 -> 12 [size =\"19841024\"]\n  9 -> 13 [size =\"19841024\"]\n  10 [size=\"149736107\", alpha=\"0.05\", expect_size=\"44920832\"] \n  10 -> 12 [size =\"44920832\"]\n  11 [size=\"112271360\", alpha=\"0.15\", expect_size=\"33681408\"] \n  12 [size=\"18937173\", alpha=\"0.02\", expect_size=\"5681152\"] \n  12 -> 14 [size =\"5681152\"]\n  13 [size=\"122217813\", alpha=\"0.05\", expect_size=\"36665344\"] \n  14 [size=\"125597013\", alpha=\"0.17\", expect_size=\"37679104\"] \n  14 -> 15 [size =\"37679104\"]\n  15 [size=\"95658667\", alpha=\"0.05\", expect_size=\"28697600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25163776\", alpha=\"0.18\", expect_size=\"12581888\"] \n  1 -> 15 [size =\"12581888\"]\n  2 [size=\"63094784\", alpha=\"0.03\", expect_size=\"31547392\"] \n  2 -> 15 [size =\"31547392\"]\n  3 [size=\"21796864\", alpha=\"0.17\", expect_size=\"10898432\"] \n  3 -> 13 [size =\"10898432\"]\n  3 -> 15 [size =\"10898432\"]\n  4 [size=\"24338432\", alpha=\"0.19\", expect_size=\"12169216\"] \n  4 -> 14 [size =\"12169216\"]\n  5 [size=\"27033600\", alpha=\"0.04\", expect_size=\"13516800\"] \n  5 -> 12 [size =\"13516800\"]\n  5 -> 14 [size =\"13516800\"]\n  6 [size=\"20903936\", alpha=\"0.09\", expect_size=\"10451968\"] \n  6 -> 12 [size =\"10451968\"]\n  6 -> 13 [size =\"10451968\"]\n  6 -> 14 [size =\"10451968\"]\n  7 [size=\"12054528\", alpha=\"0.15\", expect_size=\"6027264\"] \n  7 -> 11 [size =\"6027264\"]\n  7 -> 12 [size =\"6027264\"]\n  8 [size=\"41056256\", alpha=\"0.05\", expect_size=\"20528128\"] \n  9 [size=\"13670400\", alpha=\"0.05\", expect_size=\"6835200\"] \n  9 -> 15 [size =\"6835200\"]\n  10 [size=\"82100224\", alpha=\"0.14\", expect_size=\"41050112\"] \n  10 -> 15 [size =\"41050112\"]\n  11 [size=\"22210560\", alpha=\"0.17\", expect_size=\"11105280\"] \n  12 [size=\"12810240\", alpha=\"0.17\", expect_size=\"6405120\"] \n  13 [size=\"28016640\", alpha=\"0.09\", expect_size=\"14008320\"] \n  14 [size=\"16195584\", alpha=\"0.18\", expect_size=\"8097792\"] \n  15 [size=\"11698176\", alpha=\"0.06\", expect_size=\"5849088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35796992\", alpha=\"0.16\", expect_size=\"17898496\"] \n  1 -> 9 [size =\"17898496\"]\n  1 -> 11 [size =\"17898496\"]\n  1 -> 12 [size =\"17898496\"]\n  1 -> 15 [size =\"17898496\"]\n  2 [size=\"58419200\", alpha=\"0.15\", expect_size=\"29209600\"] \n  2 -> 9 [size =\"29209600\"]\n  3 [size=\"33261568\", alpha=\"0.18\", expect_size=\"16630784\"] \n  3 -> 13 [size =\"16630784\"]\n  3 -> 14 [size =\"16630784\"]\n  4 [size=\"103266304\", alpha=\"0.11\", expect_size=\"51633152\"] \n  4 -> 10 [size =\"51633152\"]\n  4 -> 13 [size =\"51633152\"]\n  4 -> 14 [size =\"51633152\"]\n  5 [size=\"74047488\", alpha=\"0.01\", expect_size=\"37023744\"] \n  5 -> 12 [size =\"37023744\"]\n  6 [size=\"72466432\", alpha=\"0.16\", expect_size=\"36233216\"] \n  6 -> 12 [size =\"36233216\"]\n  6 -> 13 [size =\"36233216\"]\n  7 [size=\"74903552\", alpha=\"0.14\", expect_size=\"37451776\"] \n  7 -> 14 [size =\"37451776\"]\n  8 [size=\"19116032\", alpha=\"0.14\", expect_size=\"9558016\"] \n  8 -> 14 [size =\"9558016\"]\n  9 [size=\"103282688\", alpha=\"0.19\", expect_size=\"51641344\"] \n  10 [size=\"97517568\", alpha=\"0.03\", expect_size=\"48758784\"] \n  11 [size=\"21852160\", alpha=\"0.19\", expect_size=\"10926080\"] \n  12 [size=\"95117312\", alpha=\"0.03\", expect_size=\"47558656\"] \n  13 [size=\"72521728\", alpha=\"0.08\", expect_size=\"36260864\"] \n  14 [size=\"63539200\", alpha=\"0.14\", expect_size=\"31769600\"] \n  15 [size=\"22874112\", alpha=\"0.11\", expect_size=\"11437056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162628267\", alpha=\"0.12\", expect_size=\"48788480\"] \n  1 -> 3 [size =\"48788480\"]\n  2 [size=\"44472320\", alpha=\"0.16\", expect_size=\"13341696\"] \n  2 -> 3 [size =\"13341696\"]\n  3 [size=\"163293867\", alpha=\"0.20\", expect_size=\"48988160\"] \n  3 -> 4 [size =\"48988160\"]\n  3 -> 5 [size =\"48988160\"]\n  4 [size=\"116862293\", alpha=\"0.11\", expect_size=\"35058688\"] \n  4 -> 7 [size =\"35058688\"]\n  5 [size=\"109987840\", alpha=\"0.11\", expect_size=\"32996352\"] \n  5 -> 6 [size =\"32996352\"]\n  5 -> 7 [size =\"32996352\"]\n  6 [size=\"122862933\", alpha=\"0.07\", expect_size=\"36858880\"] \n  7 [size=\"38737920\", alpha=\"0.06\", expect_size=\"11621376\"] \n  7 -> 8 [size =\"11621376\"]\n  8 [size=\"24186880\", alpha=\"0.04\", expect_size=\"7256064\"] \n  8 -> 9 [size =\"7256064\"]\n  9 [size=\"17578667\", alpha=\"0.13\", expect_size=\"5273600\"] \n  9 -> 10 [size =\"5273600\"]\n  10 [size=\"86009173\", alpha=\"0.10\", expect_size=\"25802752\"] \n  10 -> 11 [size =\"25802752\"]\n  11 [size=\"73956693\", alpha=\"0.16\", expect_size=\"22187008\"] \n  11 -> 12 [size =\"22187008\"]\n  11 -> 13 [size =\"22187008\"]\n  12 [size=\"164423680\", alpha=\"0.19\", expect_size=\"49327104\"] \n  12 -> 15 [size =\"49327104\"]\n  13 [size=\"131761493\", alpha=\"0.03\", expect_size=\"39528448\"] \n  13 -> 14 [size =\"39528448\"]\n  13 -> 15 [size =\"39528448\"]\n  14 [size=\"129419947\", alpha=\"0.09\", expect_size=\"38825984\"] \n  15 [size=\"59426133\", alpha=\"0.16\", expect_size=\"17827840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69658624\", alpha=\"0.15\", expect_size=\"34829312\"] \n  1 -> 2 [size =\"34829312\"]\n  1 -> 3 [size =\"34829312\"]\n  2 [size=\"23265280\", alpha=\"0.06\", expect_size=\"11632640\"] \n  2 -> 5 [size =\"11632640\"]\n  3 [size=\"30146560\", alpha=\"0.19\", expect_size=\"15073280\"] \n  3 -> 4 [size =\"15073280\"]\n  4 [size=\"101586944\", alpha=\"0.10\", expect_size=\"50793472\"] \n  5 [size=\"16887808\", alpha=\"0.02\", expect_size=\"8443904\"] \n  5 -> 6 [size =\"8443904\"]\n  6 [size=\"87169024\", alpha=\"0.16\", expect_size=\"43584512\"] \n  6 -> 7 [size =\"43584512\"]\n  6 -> 8 [size =\"43584512\"]\n  7 [size=\"26126336\", alpha=\"0.19\", expect_size=\"13063168\"] \n  8 [size=\"11790336\", alpha=\"0.01\", expect_size=\"5895168\"] \n  8 -> 9 [size =\"5895168\"]\n  8 -> 10 [size =\"5895168\"]\n  9 [size=\"59881472\", alpha=\"0.04\", expect_size=\"29940736\"] \n  9 -> 11 [size =\"29940736\"]\n  10 [size=\"101148672\", alpha=\"0.05\", expect_size=\"50574336\"] \n  11 [size=\"48179200\", alpha=\"0.13\", expect_size=\"24089600\"] \n  11 -> 12 [size =\"24089600\"]\n  12 [size=\"26621952\", alpha=\"0.07\", expect_size=\"13310976\"] \n  12 -> 13 [size =\"13310976\"]\n  13 [size=\"53616640\", alpha=\"0.04\", expect_size=\"26808320\"] \n  13 -> 14 [size =\"26808320\"]\n  14 [size=\"48945152\", alpha=\"0.08\", expect_size=\"24472576\"] \n  14 -> 15 [size =\"24472576\"]\n  15 [size=\"94980096\", alpha=\"0.18\", expect_size=\"47490048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88033280\", alpha=\"0.17\", expect_size=\"26409984\"] \n  2 [size=\"35662507\", alpha=\"0.13\", expect_size=\"10698752\"] \n  2 -> 3 [size =\"10698752\"]\n  2 -> 4 [size =\"10698752\"]\n  3 [size=\"132744533\", alpha=\"0.05\", expect_size=\"39823360\"] \n  3 -> 5 [size =\"39823360\"]\n  4 [size=\"112599040\", alpha=\"0.18\", expect_size=\"33779712\"] \n  5 [size=\"65150293\", alpha=\"0.01\", expect_size=\"19545088\"] \n  5 -> 6 [size =\"19545088\"]\n  6 [size=\"52555093\", alpha=\"0.20\", expect_size=\"15766528\"] \n  6 -> 7 [size =\"15766528\"]\n  6 -> 8 [size =\"15766528\"]\n  7 [size=\"140427947\", alpha=\"0.16\", expect_size=\"42128384\"] \n  8 [size=\"88674987\", alpha=\"0.01\", expect_size=\"26602496\"] \n  8 -> 9 [size =\"26602496\"]\n  9 [size=\"68799147\", alpha=\"0.09\", expect_size=\"20639744\"] \n  9 -> 10 [size =\"20639744\"]\n  10 [size=\"72331947\", alpha=\"0.14\", expect_size=\"21699584\"] \n  10 -> 11 [size =\"21699584\"]\n  11 [size=\"143390720\", alpha=\"0.17\", expect_size=\"43017216\"] \n  11 -> 12 [size =\"43017216\"]\n  11 -> 13 [size =\"43017216\"]\n  12 [size=\"122644480\", alpha=\"0.20\", expect_size=\"36793344\"] \n  12 -> 14 [size =\"36793344\"]\n  13 [size=\"66167467\", alpha=\"0.04\", expect_size=\"19850240\"] \n  13 -> 14 [size =\"19850240\"]\n  14 [size=\"107752107\", alpha=\"0.10\", expect_size=\"32325632\"] \n  14 -> 15 [size =\"32325632\"]\n  15 [size=\"89190400\", alpha=\"0.09\", expect_size=\"26757120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61671424\", alpha=\"0.05\", expect_size=\"30835712\"] \n  1 -> 2 [size =\"30835712\"]\n  2 [size=\"23279616\", alpha=\"0.15\", expect_size=\"11639808\"] \n  2 -> 3 [size =\"11639808\"]\n  3 [size=\"45420544\", alpha=\"0.01\", expect_size=\"22710272\"] \n  3 -> 4 [size =\"22710272\"]\n  4 [size=\"97533952\", alpha=\"0.13\", expect_size=\"48766976\"] \n  4 -> 5 [size =\"48766976\"]\n  5 [size=\"10799104\", alpha=\"0.18\", expect_size=\"5399552\"] \n  5 -> 6 [size =\"5399552\"]\n  6 [size=\"103223296\", alpha=\"0.18\", expect_size=\"51611648\"] \n  6 -> 7 [size =\"51611648\"]\n  7 [size=\"26460160\", alpha=\"0.13\", expect_size=\"13230080\"] \n  7 -> 8 [size =\"13230080\"]\n  8 [size=\"99223552\", alpha=\"0.05\", expect_size=\"49611776\"] \n  8 -> 9 [size =\"49611776\"]\n  9 [size=\"21923840\", alpha=\"0.05\", expect_size=\"10961920\"] \n  9 -> 10 [size =\"10961920\"]\n  10 [size=\"47679488\", alpha=\"0.04\", expect_size=\"23839744\"] \n  10 -> 11 [size =\"23839744\"]\n  11 [size=\"104263680\", alpha=\"0.14\", expect_size=\"52131840\"] \n  11 -> 12 [size =\"52131840\"]\n  12 [size=\"34660352\", alpha=\"0.06\", expect_size=\"17330176\"] \n  12 -> 13 [size =\"17330176\"]\n  13 [size=\"11157504\", alpha=\"0.12\", expect_size=\"5578752\"] \n  13 -> 14 [size =\"5578752\"]\n  14 [size=\"15622144\", alpha=\"0.03\", expect_size=\"7811072\"] \n  14 -> 15 [size =\"7811072\"]\n  15 [size=\"76507136\", alpha=\"0.16\", expect_size=\"38253568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66275840\", alpha=\"0.06\", expect_size=\"26510336\"] \n  1 -> 2 [size =\"26510336\"]\n  2 [size=\"14144000\", alpha=\"0.08\", expect_size=\"5657600\"] \n  2 -> 3 [size =\"5657600\"]\n  3 [size=\"126673920\", alpha=\"0.06\", expect_size=\"50669568\"] \n  3 -> 4 [size =\"50669568\"]\n  4 [size=\"55861760\", alpha=\"0.11\", expect_size=\"22344704\"] \n  4 -> 5 [size =\"22344704\"]\n  5 [size=\"115896320\", alpha=\"0.10\", expect_size=\"46358528\"] \n  5 -> 6 [size =\"46358528\"]\n  6 [size=\"35200000\", alpha=\"0.07\", expect_size=\"14080000\"] \n  6 -> 7 [size =\"14080000\"]\n  7 [size=\"69007360\", alpha=\"0.09\", expect_size=\"27602944\"] \n  7 -> 8 [size =\"27602944\"]\n  8 [size=\"93370880\", alpha=\"0.13\", expect_size=\"37348352\"] \n  8 -> 9 [size =\"37348352\"]\n  9 [size=\"126968320\", alpha=\"0.13\", expect_size=\"50787328\"] \n  9 -> 10 [size =\"50787328\"]\n  10 [size=\"19443200\", alpha=\"0.14\", expect_size=\"7777280\"] \n  10 -> 11 [size =\"7777280\"]\n  11 [size=\"28101120\", alpha=\"0.01\", expect_size=\"11240448\"] \n  11 -> 12 [size =\"11240448\"]\n  12 [size=\"61153280\", alpha=\"0.10\", expect_size=\"24461312\"] \n  12 -> 13 [size =\"24461312\"]\n  13 [size=\"106365440\", alpha=\"0.03\", expect_size=\"42546176\"] \n  13 -> 14 [size =\"42546176\"]\n  14 [size=\"20879360\", alpha=\"0.13\", expect_size=\"8351744\"] \n  14 -> 15 [size =\"8351744\"]\n  15 [size=\"85565440\", alpha=\"0.20\", expect_size=\"34226176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42001067\", alpha=\"0.15\", expect_size=\"12600320\"] \n  1 -> 13 [size =\"12600320\"]\n  2 [size=\"138895360\", alpha=\"0.12\", expect_size=\"41668608\"] \n  2 -> 11 [size =\"41668608\"]\n  2 -> 12 [size =\"41668608\"]\n  3 [size=\"23391573\", alpha=\"0.16\", expect_size=\"7017472\"] \n  3 -> 11 [size =\"7017472\"]\n  3 -> 15 [size =\"7017472\"]\n  4 [size=\"64563200\", alpha=\"0.20\", expect_size=\"19368960\"] \n  4 -> 11 [size =\"19368960\"]\n  4 -> 12 [size =\"19368960\"]\n  4 -> 13 [size =\"19368960\"]\n  5 [size=\"61095253\", alpha=\"0.09\", expect_size=\"18328576\"] \n  5 -> 11 [size =\"18328576\"]\n  5 -> 12 [size =\"18328576\"]\n  5 -> 13 [size =\"18328576\"]\n  5 -> 14 [size =\"18328576\"]\n  5 -> 15 [size =\"18328576\"]\n  6 [size=\"159238827\", alpha=\"0.03\", expect_size=\"47771648\"] \n  6 -> 11 [size =\"47771648\"]\n  6 -> 12 [size =\"47771648\"]\n  6 -> 15 [size =\"47771648\"]\n  7 [size=\"152780800\", alpha=\"0.05\", expect_size=\"45834240\"] \n  7 -> 11 [size =\"45834240\"]\n  7 -> 12 [size =\"45834240\"]\n  7 -> 15 [size =\"45834240\"]\n  8 [size=\"125617493\", alpha=\"0.08\", expect_size=\"37685248\"] \n  8 -> 12 [size =\"37685248\"]\n  8 -> 14 [size =\"37685248\"]\n  9 [size=\"134109867\", alpha=\"0.04\", expect_size=\"40232960\"] \n  9 -> 13 [size =\"40232960\"]\n  10 [size=\"28453547\", alpha=\"0.13\", expect_size=\"8536064\"] \n  10 -> 12 [size =\"8536064\"]\n  10 -> 13 [size =\"8536064\"]\n  10 -> 14 [size =\"8536064\"]\n  11 [size=\"139758933\", alpha=\"0.09\", expect_size=\"41927680\"] \n  12 [size=\"98635093\", alpha=\"0.10\", expect_size=\"29590528\"] \n  13 [size=\"32064853\", alpha=\"0.16\", expect_size=\"9619456\"] \n  14 [size=\"156180480\", alpha=\"0.15\", expect_size=\"46854144\"] \n  15 [size=\"154668373\", alpha=\"0.16\", expect_size=\"46400512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95025152\", alpha=\"0.10\", expect_size=\"47512576\"] \n  1 -> 11 [size =\"47512576\"]\n  1 -> 12 [size =\"47512576\"]\n  1 -> 13 [size =\"47512576\"]\n  1 -> 14 [size =\"47512576\"]\n  1 -> 15 [size =\"47512576\"]\n  2 [size=\"24893440\", alpha=\"0.16\", expect_size=\"12446720\"] \n  2 -> 11 [size =\"12446720\"]\n  2 -> 13 [size =\"12446720\"]\n  2 -> 15 [size =\"12446720\"]\n  3 [size=\"95508480\", alpha=\"0.10\", expect_size=\"47754240\"] \n  3 -> 11 [size =\"47754240\"]\n  3 -> 12 [size =\"47754240\"]\n  3 -> 14 [size =\"47754240\"]\n  4 [size=\"49950720\", alpha=\"0.04\", expect_size=\"24975360\"] \n  4 -> 11 [size =\"24975360\"]\n  4 -> 12 [size =\"24975360\"]\n  4 -> 13 [size =\"24975360\"]\n  5 [size=\"16459776\", alpha=\"0.05\", expect_size=\"8229888\"] \n  5 -> 12 [size =\"8229888\"]\n  5 -> 13 [size =\"8229888\"]\n  6 [size=\"87527424\", alpha=\"0.15\", expect_size=\"43763712\"] \n  6 -> 13 [size =\"43763712\"]\n  6 -> 13 [size =\"43763712\"]\n  6 -> 14 [size =\"43763712\"]\n  7 [size=\"13948928\", alpha=\"0.12\", expect_size=\"6974464\"] \n  7 -> 12 [size =\"6974464\"]\n  8 [size=\"60264448\", alpha=\"0.09\", expect_size=\"30132224\"] \n  8 -> 11 [size =\"30132224\"]\n  8 -> 12 [size =\"30132224\"]\n  8 -> 13 [size =\"30132224\"]\n  8 -> 14 [size =\"30132224\"]\n  9 [size=\"55707648\", alpha=\"0.01\", expect_size=\"27853824\"] \n  9 -> 11 [size =\"27853824\"]\n  9 -> 12 [size =\"27853824\"]\n  9 -> 13 [size =\"27853824\"]\n  10 [size=\"25800704\", alpha=\"0.11\", expect_size=\"12900352\"] \n  10 -> 11 [size =\"12900352\"]\n  10 -> 12 [size =\"12900352\"]\n  10 -> 14 [size =\"12900352\"]\n  11 [size=\"87091200\", alpha=\"0.04\", expect_size=\"43545600\"] \n  12 [size=\"37824512\", alpha=\"0.04\", expect_size=\"18912256\"] \n  13 [size=\"18276352\", alpha=\"0.10\", expect_size=\"9138176\"] \n  14 [size=\"66312192\", alpha=\"0.01\", expect_size=\"33156096\"] \n  15 [size=\"83238912\", alpha=\"0.09\", expect_size=\"41619456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85387264\", alpha=\"0.07\", expect_size=\"42693632\"] \n  1 -> 2 [size =\"42693632\"]\n  2 [size=\"37603328\", alpha=\"0.14\", expect_size=\"18801664\"] \n  2 -> 3 [size =\"18801664\"]\n  3 [size=\"28110848\", alpha=\"0.15\", expect_size=\"14055424\"] \n  3 -> 4 [size =\"14055424\"]\n  4 [size=\"85010432\", alpha=\"0.18\", expect_size=\"42505216\"] \n  4 -> 5 [size =\"42505216\"]\n  5 [size=\"25991168\", alpha=\"0.06\", expect_size=\"12995584\"] \n  5 -> 6 [size =\"12995584\"]\n  6 [size=\"26034176\", alpha=\"0.05\", expect_size=\"13017088\"] \n  6 -> 7 [size =\"13017088\"]\n  7 [size=\"73218048\", alpha=\"0.12\", expect_size=\"36609024\"] \n  7 -> 8 [size =\"36609024\"]\n  8 [size=\"82012160\", alpha=\"0.20\", expect_size=\"41006080\"] \n  8 -> 9 [size =\"41006080\"]\n  9 [size=\"35848192\", alpha=\"0.10\", expect_size=\"17924096\"] \n  9 -> 10 [size =\"17924096\"]\n  10 [size=\"58585088\", alpha=\"0.16\", expect_size=\"29292544\"] \n  10 -> 11 [size =\"29292544\"]\n  11 [size=\"62887936\", alpha=\"0.18\", expect_size=\"31443968\"] \n  11 -> 12 [size =\"31443968\"]\n  12 [size=\"95361024\", alpha=\"0.19\", expect_size=\"47680512\"] \n  12 -> 13 [size =\"47680512\"]\n  13 [size=\"65236992\", alpha=\"0.19\", expect_size=\"32618496\"] \n  13 -> 14 [size =\"32618496\"]\n  14 [size=\"43462656\", alpha=\"0.17\", expect_size=\"21731328\"] \n  14 -> 15 [size =\"21731328\"]\n  15 [size=\"33886208\", alpha=\"0.02\", expect_size=\"16943104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64598016\", alpha=\"0.18\", expect_size=\"32299008\"] \n  1 -> 2 [size =\"32299008\"]\n  1 -> 3 [size =\"32299008\"]\n  2 [size=\"61339648\", alpha=\"0.09\", expect_size=\"30669824\"] \n  3 [size=\"46761984\", alpha=\"0.08\", expect_size=\"23380992\"] \n  3 -> 4 [size =\"23380992\"]\n  3 -> 5 [size =\"23380992\"]\n  4 [size=\"89690112\", alpha=\"0.19\", expect_size=\"44845056\"] \n  4 -> 6 [size =\"44845056\"]\n  5 [size=\"60284928\", alpha=\"0.18\", expect_size=\"30142464\"] \n  5 -> 6 [size =\"30142464\"]\n  6 [size=\"42297344\", alpha=\"0.09\", expect_size=\"21148672\"] \n  6 -> 7 [size =\"21148672\"]\n  7 [size=\"52021248\", alpha=\"0.17\", expect_size=\"26010624\"] \n  7 -> 8 [size =\"26010624\"]\n  7 -> 9 [size =\"26010624\"]\n  8 [size=\"33724416\", alpha=\"0.06\", expect_size=\"16862208\"] \n  9 [size=\"54415360\", alpha=\"0.16\", expect_size=\"27207680\"] \n  9 -> 10 [size =\"27207680\"]\n  10 [size=\"99631104\", alpha=\"0.18\", expect_size=\"49815552\"] \n  10 -> 11 [size =\"49815552\"]\n  11 [size=\"57563136\", alpha=\"0.12\", expect_size=\"28781568\"] \n  11 -> 12 [size =\"28781568\"]\n  11 -> 13 [size =\"28781568\"]\n  12 [size=\"47671296\", alpha=\"0.06\", expect_size=\"23835648\"] \n  13 [size=\"91867136\", alpha=\"0.10\", expect_size=\"45933568\"] \n  13 -> 14 [size =\"45933568\"]\n  14 [size=\"34906112\", alpha=\"0.06\", expect_size=\"17453056\"] \n  14 -> 15 [size =\"17453056\"]\n  15 [size=\"27969536\", alpha=\"0.12\", expect_size=\"13984768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96929280\", alpha=\"0.12\", expect_size=\"38771712\"] \n  1 -> 11 [size =\"38771712\"]\n  1 -> 12 [size =\"38771712\"]\n  1 -> 14 [size =\"38771712\"]\n  1 -> 15 [size =\"38771712\"]\n  2 [size=\"69317120\", alpha=\"0.01\", expect_size=\"27726848\"] \n  2 -> 12 [size =\"27726848\"]\n  2 -> 14 [size =\"27726848\"]\n  2 -> 15 [size =\"27726848\"]\n  2 -> 15 [size =\"27726848\"]\n  3 [size=\"99550720\", alpha=\"0.11\", expect_size=\"39820288\"] \n  3 -> 9 [size =\"39820288\"]\n  3 -> 11 [size =\"39820288\"]\n  3 -> 13 [size =\"39820288\"]\n  3 -> 14 [size =\"39820288\"]\n  4 [size=\"117921280\", alpha=\"0.20\", expect_size=\"47168512\"] \n  4 -> 9 [size =\"47168512\"]\n  4 -> 11 [size =\"47168512\"]\n  4 -> 14 [size =\"47168512\"]\n  4 -> 15 [size =\"47168512\"]\n  5 [size=\"14512640\", alpha=\"0.06\", expect_size=\"5805056\"] \n  5 -> 10 [size =\"5805056\"]\n  5 -> 11 [size =\"5805056\"]\n  5 -> 12 [size =\"5805056\"]\n  5 -> 13 [size =\"5805056\"]\n  5 -> 14 [size =\"5805056\"]\n  6 [size=\"119385600\", alpha=\"0.04\", expect_size=\"47754240\"] \n  7 [size=\"68523520\", alpha=\"0.06\", expect_size=\"27409408\"] \n  7 -> 11 [size =\"27409408\"]\n  7 -> 15 [size =\"27409408\"]\n  8 [size=\"42946560\", alpha=\"0.16\", expect_size=\"17178624\"] \n  8 -> 11 [size =\"17178624\"]\n  8 -> 15 [size =\"17178624\"]\n  9 [size=\"99955200\", alpha=\"0.12\", expect_size=\"39982080\"] \n  10 [size=\"77186560\", alpha=\"0.14\", expect_size=\"30874624\"] \n  11 [size=\"92172800\", alpha=\"0.06\", expect_size=\"36869120\"] \n  12 [size=\"42728960\", alpha=\"0.20\", expect_size=\"17091584\"] \n  13 [size=\"49945600\", alpha=\"0.15\", expect_size=\"19978240\"] \n  14 [size=\"116395520\", alpha=\"0.05\", expect_size=\"46558208\"] \n  15 [size=\"114813440\", alpha=\"0.17\", expect_size=\"45925376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38213120\", alpha=\"0.08\", expect_size=\"15285248\"] \n  1 -> 6 [size =\"15285248\"]\n  1 -> 8 [size =\"15285248\"]\n  1 -> 9 [size =\"15285248\"]\n  1 -> 10 [size =\"15285248\"]\n  2 [size=\"63219200\", alpha=\"0.17\", expect_size=\"25287680\"] \n  2 -> 6 [size =\"25287680\"]\n  2 -> 7 [size =\"25287680\"]\n  2 -> 8 [size =\"25287680\"]\n  2 -> 10 [size =\"25287680\"]\n  3 [size=\"123642880\", alpha=\"0.04\", expect_size=\"49457152\"] \n  3 -> 7 [size =\"49457152\"]\n  3 -> 9 [size =\"49457152\"]\n  3 -> 10 [size =\"49457152\"]\n  4 [size=\"46865920\", alpha=\"0.10\", expect_size=\"18746368\"] \n  4 -> 6 [size =\"18746368\"]\n  5 [size=\"19082240\", alpha=\"0.08\", expect_size=\"7632896\"] \n  5 -> 7 [size =\"7632896\"]\n  5 -> 9 [size =\"7632896\"]\n  6 [size=\"124648960\", alpha=\"0.02\", expect_size=\"49859584\"] \n  6 -> 11 [size =\"49859584\"]\n  6 -> 14 [size =\"49859584\"]\n  7 [size=\"73336320\", alpha=\"0.20\", expect_size=\"29334528\"] \n  7 -> 12 [size =\"29334528\"]\n  8 [size=\"32565760\", alpha=\"0.13\", expect_size=\"13026304\"] \n  8 -> 13 [size =\"13026304\"]\n  9 [size=\"52497920\", alpha=\"0.03\", expect_size=\"20999168\"] \n  9 -> 12 [size =\"20999168\"]\n  9 -> 13 [size =\"20999168\"]\n  9 -> 15 [size =\"20999168\"]\n  10 [size=\"55109120\", alpha=\"0.12\", expect_size=\"22043648\"] \n  10 -> 11 [size =\"22043648\"]\n  10 -> 13 [size =\"22043648\"]\n  10 -> 14 [size =\"22043648\"]\n  11 [size=\"92129280\", alpha=\"0.11\", expect_size=\"36851712\"] \n  12 [size=\"23191040\", alpha=\"0.04\", expect_size=\"9276416\"] \n  13 [size=\"122362880\", alpha=\"0.06\", expect_size=\"48945152\"] \n  14 [size=\"29009920\", alpha=\"0.18\", expect_size=\"11603968\"] \n  15 [size=\"86909440\", alpha=\"0.01\", expect_size=\"34763776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101368320\", alpha=\"0.12\", expect_size=\"40547328\"] \n  1 -> 3 [size =\"40547328\"]\n  1 -> 4 [size =\"40547328\"]\n  2 [size=\"85038080\", alpha=\"0.12\", expect_size=\"34015232\"] \n  2 -> 3 [size =\"34015232\"]\n  2 -> 4 [size =\"34015232\"]\n  3 [size=\"37212160\", alpha=\"0.20\", expect_size=\"14884864\"] \n  3 -> 5 [size =\"14884864\"]\n  3 -> 6 [size =\"14884864\"]\n  3 -> 7 [size =\"14884864\"]\n  4 [size=\"19729920\", alpha=\"0.07\", expect_size=\"7891968\"] \n  4 -> 5 [size =\"7891968\"]\n  4 -> 6 [size =\"7891968\"]\n  4 -> 7 [size =\"7891968\"]\n  5 [size=\"115184640\", alpha=\"0.13\", expect_size=\"46073856\"] \n  5 -> 8 [size =\"46073856\"]\n  5 -> 9 [size =\"46073856\"]\n  6 [size=\"29708800\", alpha=\"0.13\", expect_size=\"11883520\"] \n  7 [size=\"101803520\", alpha=\"0.05\", expect_size=\"40721408\"] \n  7 -> 8 [size =\"40721408\"]\n  7 -> 9 [size =\"40721408\"]\n  8 [size=\"69800960\", alpha=\"0.12\", expect_size=\"27920384\"] \n  8 -> 10 [size =\"27920384\"]\n  9 [size=\"78456320\", alpha=\"0.11\", expect_size=\"31382528\"] \n  9 -> 11 [size =\"31382528\"]\n  10 [size=\"120686080\", alpha=\"0.08\", expect_size=\"48274432\"] \n  10 -> 12 [size =\"48274432\"]\n  10 -> 14 [size =\"48274432\"]\n  11 [size=\"79728640\", alpha=\"0.07\", expect_size=\"31891456\"] \n  11 -> 13 [size =\"31891456\"]\n  11 -> 14 [size =\"31891456\"]\n  12 [size=\"34135040\", alpha=\"0.18\", expect_size=\"13654016\"] \n  12 -> 15 [size =\"13654016\"]\n  13 [size=\"104604160\", alpha=\"0.18\", expect_size=\"41841664\"] \n  13 -> 15 [size =\"41841664\"]\n  14 [size=\"102274560\", alpha=\"0.07\", expect_size=\"40909824\"] \n  15 [size=\"24947200\", alpha=\"0.12\", expect_size=\"9978880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60584960\", alpha=\"0.10\", expect_size=\"24233984\"] \n  1 -> 2 [size =\"24233984\"]\n  2 [size=\"40819200\", alpha=\"0.18\", expect_size=\"16327680\"] \n  2 -> 3 [size =\"16327680\"]\n  3 [size=\"101327360\", alpha=\"0.10\", expect_size=\"40530944\"] \n  3 -> 4 [size =\"40530944\"]\n  4 [size=\"25886720\", alpha=\"0.10\", expect_size=\"10354688\"] \n  4 -> 5 [size =\"10354688\"]\n  5 [size=\"89369600\", alpha=\"0.09\", expect_size=\"35747840\"] \n  5 -> 6 [size =\"35747840\"]\n  6 [size=\"114240000\", alpha=\"0.01\", expect_size=\"45696000\"] \n  6 -> 7 [size =\"45696000\"]\n  7 [size=\"118044160\", alpha=\"0.15\", expect_size=\"47217664\"] \n  7 -> 8 [size =\"47217664\"]\n  8 [size=\"36444160\", alpha=\"0.12\", expect_size=\"14577664\"] \n  8 -> 9 [size =\"14577664\"]\n  9 [size=\"104138240\", alpha=\"0.15\", expect_size=\"41655296\"] \n  9 -> 10 [size =\"41655296\"]\n  10 [size=\"88747520\", alpha=\"0.11\", expect_size=\"35499008\"] \n  10 -> 11 [size =\"35499008\"]\n  11 [size=\"26583040\", alpha=\"0.19\", expect_size=\"10633216\"] \n  11 -> 12 [size =\"10633216\"]\n  12 [size=\"85596160\", alpha=\"0.03\", expect_size=\"34238464\"] \n  12 -> 13 [size =\"34238464\"]\n  13 [size=\"76195840\", alpha=\"0.14\", expect_size=\"30478336\"] \n  13 -> 14 [size =\"30478336\"]\n  14 [size=\"17126400\", alpha=\"0.08\", expect_size=\"6850560\"] \n  14 -> 15 [size =\"6850560\"]\n  15 [size=\"78266880\", alpha=\"0.02\", expect_size=\"31306752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66582528\", alpha=\"0.14\", expect_size=\"33291264\"] \n  1 -> 5 [size =\"33291264\"]\n  1 -> 6 [size =\"33291264\"]\n  2 [size=\"52875264\", alpha=\"0.04\", expect_size=\"26437632\"] \n  2 -> 4 [size =\"26437632\"]\n  2 -> 6 [size =\"26437632\"]\n  3 [size=\"29257728\", alpha=\"0.19\", expect_size=\"14628864\"] \n  3 -> 4 [size =\"14628864\"]\n  4 [size=\"87334912\", alpha=\"0.10\", expect_size=\"43667456\"] \n  5 [size=\"68255744\", alpha=\"0.01\", expect_size=\"34127872\"] \n  5 -> 8 [size =\"34127872\"]\n  6 [size=\"43036672\", alpha=\"0.15\", expect_size=\"21518336\"] \n  6 -> 7 [size =\"21518336\"]\n  6 -> 8 [size =\"21518336\"]\n  7 [size=\"62720000\", alpha=\"0.18\", expect_size=\"31360000\"] \n  7 -> 9 [size =\"31360000\"]\n  7 -> 10 [size =\"31360000\"]\n  7 -> 11 [size =\"31360000\"]\n  8 [size=\"12398592\", alpha=\"0.11\", expect_size=\"6199296\"] \n  8 -> 10 [size =\"6199296\"]\n  8 -> 11 [size =\"6199296\"]\n  9 [size=\"16939008\", alpha=\"0.10\", expect_size=\"8469504\"] \n  9 -> 12 [size =\"8469504\"]\n  9 -> 13 [size =\"8469504\"]\n  10 [size=\"29495296\", alpha=\"0.11\", expect_size=\"14747648\"] \n  10 -> 12 [size =\"14747648\"]\n  10 -> 13 [size =\"14747648\"]\n  11 [size=\"52584448\", alpha=\"0.10\", expect_size=\"26292224\"] \n  11 -> 12 [size =\"26292224\"]\n  12 [size=\"22269952\", alpha=\"0.03\", expect_size=\"11134976\"] \n  12 -> 14 [size =\"11134976\"]\n  12 -> 15 [size =\"11134976\"]\n  13 [size=\"39858176\", alpha=\"0.01\", expect_size=\"19929088\"] \n  13 -> 14 [size =\"19929088\"]\n  13 -> 15 [size =\"19929088\"]\n  14 [size=\"34977792\", alpha=\"0.17\", expect_size=\"17488896\"] \n  15 [size=\"84029440\", alpha=\"0.07\", expect_size=\"42014720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94891520\", alpha=\"0.16\", expect_size=\"37956608\"] \n  1 -> 2 [size =\"37956608\"]\n  2 [size=\"94743040\", alpha=\"0.05\", expect_size=\"37897216\"] \n  2 -> 3 [size =\"37897216\"]\n  3 [size=\"102517760\", alpha=\"0.07\", expect_size=\"41007104\"] \n  3 -> 4 [size =\"41007104\"]\n  4 [size=\"41725440\", alpha=\"0.01\", expect_size=\"16690176\"] \n  4 -> 5 [size =\"16690176\"]\n  5 [size=\"25712640\", alpha=\"0.10\", expect_size=\"10285056\"] \n  5 -> 6 [size =\"10285056\"]\n  6 [size=\"62187520\", alpha=\"0.13\", expect_size=\"24875008\"] \n  6 -> 7 [size =\"24875008\"]\n  7 [size=\"125893120\", alpha=\"0.00\", expect_size=\"50357248\"] \n  7 -> 8 [size =\"50357248\"]\n  8 [size=\"114775040\", alpha=\"0.07\", expect_size=\"45910016\"] \n  8 -> 9 [size =\"45910016\"]\n  9 [size=\"66792960\", alpha=\"0.00\", expect_size=\"26717184\"] \n  9 -> 10 [size =\"26717184\"]\n  10 [size=\"27786240\", alpha=\"0.01\", expect_size=\"11114496\"] \n  10 -> 11 [size =\"11114496\"]\n  11 [size=\"77263360\", alpha=\"0.18\", expect_size=\"30905344\"] \n  11 -> 12 [size =\"30905344\"]\n  12 [size=\"54574080\", alpha=\"0.07\", expect_size=\"21829632\"] \n  12 -> 13 [size =\"21829632\"]\n  13 [size=\"85898240\", alpha=\"0.18\", expect_size=\"34359296\"] \n  13 -> 14 [size =\"34359296\"]\n  14 [size=\"125440000\", alpha=\"0.10\", expect_size=\"50176000\"] \n  14 -> 15 [size =\"50176000\"]\n  15 [size=\"130618880\", alpha=\"0.13\", expect_size=\"52247552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119753387\", alpha=\"0.05\", expect_size=\"35926016\"] \n  2 [size=\"151719253\", alpha=\"0.18\", expect_size=\"45515776\"] \n  2 -> 15 [size =\"45515776\"]\n  3 [size=\"50783573\", alpha=\"0.14\", expect_size=\"15235072\"] \n  3 -> 15 [size =\"15235072\"]\n  4 [size=\"96488107\", alpha=\"0.13\", expect_size=\"28946432\"] \n  4 -> 15 [size =\"28946432\"]\n  5 [size=\"82571947\", alpha=\"0.04\", expect_size=\"24771584\"] \n  5 -> 15 [size =\"24771584\"]\n  6 [size=\"72495787\", alpha=\"0.16\", expect_size=\"21748736\"] \n  6 -> 15 [size =\"21748736\"]\n  7 [size=\"84585813\", alpha=\"0.19\", expect_size=\"25375744\"] \n  8 [size=\"111390720\", alpha=\"0.01\", expect_size=\"33417216\"] \n  9 [size=\"94047573\", alpha=\"0.16\", expect_size=\"28214272\"] \n  10 [size=\"41332053\", alpha=\"0.12\", expect_size=\"12399616\"] \n  10 -> 15 [size =\"12399616\"]\n  11 [size=\"120429227\", alpha=\"0.17\", expect_size=\"36128768\"] \n  11 -> 15 [size =\"36128768\"]\n  12 [size=\"156658347\", alpha=\"0.15\", expect_size=\"46997504\"] \n  12 -> 15 [size =\"46997504\"]\n  13 [size=\"141728427\", alpha=\"0.03\", expect_size=\"42518528\"] \n  13 -> 15 [size =\"42518528\"]\n  14 [size=\"94030507\", alpha=\"0.07\", expect_size=\"28209152\"] \n  15 [size=\"42475520\", alpha=\"0.19\", expect_size=\"12742656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63584256\", alpha=\"0.01\", expect_size=\"31792128\"] \n  1 -> 11 [size =\"31792128\"]\n  1 -> 14 [size =\"31792128\"]\n  1 -> 15 [size =\"31792128\"]\n  2 [size=\"51343360\", alpha=\"0.09\", expect_size=\"25671680\"] \n  2 -> 11 [size =\"25671680\"]\n  2 -> 13 [size =\"25671680\"]\n  2 -> 14 [size =\"25671680\"]\n  3 [size=\"100352000\", alpha=\"0.16\", expect_size=\"50176000\"] \n  3 -> 15 [size =\"50176000\"]\n  4 [size=\"84361216\", alpha=\"0.03\", expect_size=\"42180608\"] \n  5 [size=\"34019328\", alpha=\"0.10\", expect_size=\"17009664\"] \n  6 [size=\"75671552\", alpha=\"0.03\", expect_size=\"37835776\"] \n  7 [size=\"17395712\", alpha=\"0.17\", expect_size=\"8697856\"] \n  8 [size=\"85596160\", alpha=\"0.17\", expect_size=\"42798080\"] \n  8 -> 12 [size =\"42798080\"]\n  8 -> 14 [size =\"42798080\"]\n  9 [size=\"92096512\", alpha=\"0.10\", expect_size=\"46048256\"] \n  9 -> 12 [size =\"46048256\"]\n  9 -> 14 [size =\"46048256\"]\n  10 [size=\"10860544\", alpha=\"0.20\", expect_size=\"5430272\"] \n  11 [size=\"100077568\", alpha=\"0.05\", expect_size=\"50038784\"] \n  12 [size=\"103745536\", alpha=\"0.08\", expect_size=\"51872768\"] \n  13 [size=\"52758528\", alpha=\"0.08\", expect_size=\"26379264\"] \n  14 [size=\"35307520\", alpha=\"0.02\", expect_size=\"17653760\"] \n  15 [size=\"48793600\", alpha=\"0.00\", expect_size=\"24396800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77205504\", alpha=\"0.00\", expect_size=\"38602752\"] \n  1 -> 2 [size =\"38602752\"]\n  2 [size=\"82739200\", alpha=\"0.11\", expect_size=\"41369600\"] \n  2 -> 3 [size =\"41369600\"]\n  3 [size=\"14651392\", alpha=\"0.19\", expect_size=\"7325696\"] \n  3 -> 4 [size =\"7325696\"]\n  3 -> 5 [size =\"7325696\"]\n  4 [size=\"70338560\", alpha=\"0.09\", expect_size=\"35169280\"] \n  5 [size=\"44306432\", alpha=\"0.03\", expect_size=\"22153216\"] \n  5 -> 6 [size =\"22153216\"]\n  5 -> 7 [size =\"22153216\"]\n  6 [size=\"11296768\", alpha=\"0.18\", expect_size=\"5648384\"] \n  7 [size=\"102963200\", alpha=\"0.07\", expect_size=\"51481600\"] \n  7 -> 8 [size =\"51481600\"]\n  8 [size=\"104085504\", alpha=\"0.12\", expect_size=\"52042752\"] \n  8 -> 9 [size =\"52042752\"]\n  8 -> 10 [size =\"52042752\"]\n  9 [size=\"92282880\", alpha=\"0.18\", expect_size=\"46141440\"] \n  9 -> 12 [size =\"46141440\"]\n  10 [size=\"56330240\", alpha=\"0.15\", expect_size=\"28165120\"] \n  10 -> 11 [size =\"28165120\"]\n  11 [size=\"12832768\", alpha=\"0.01\", expect_size=\"6416384\"] \n  11 -> 13 [size =\"6416384\"]\n  12 [size=\"13305856\", alpha=\"0.09\", expect_size=\"6652928\"] \n  12 -> 14 [size =\"6652928\"]\n  13 [size=\"63170560\", alpha=\"0.06\", expect_size=\"31585280\"] \n  14 [size=\"59506688\", alpha=\"0.07\", expect_size=\"29753344\"] \n  14 -> 15 [size =\"29753344\"]\n  15 [size=\"103938048\", alpha=\"0.13\", expect_size=\"51969024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70332416\", alpha=\"0.17\", expect_size=\"35166208\"] \n  2 [size=\"44580864\", alpha=\"0.18\", expect_size=\"22290432\"] \n  2 -> 3 [size =\"22290432\"]\n  3 [size=\"46731264\", alpha=\"0.09\", expect_size=\"23365632\"] \n  3 -> 4 [size =\"23365632\"]\n  4 [size=\"28301312\", alpha=\"0.05\", expect_size=\"14150656\"] \n  4 -> 5 [size =\"14150656\"]\n  5 [size=\"62283776\", alpha=\"0.09\", expect_size=\"31141888\"] \n  5 -> 6 [size =\"31141888\"]\n  5 -> 7 [size =\"31141888\"]\n  6 [size=\"84746240\", alpha=\"0.03\", expect_size=\"42373120\"] \n  6 -> 8 [size =\"42373120\"]\n  7 [size=\"91703296\", alpha=\"0.18\", expect_size=\"45851648\"] \n  8 [size=\"11153408\", alpha=\"0.18\", expect_size=\"5576704\"] \n  8 -> 9 [size =\"5576704\"]\n  8 -> 10 [size =\"5576704\"]\n  9 [size=\"101396480\", alpha=\"0.15\", expect_size=\"50698240\"] \n  9 -> 11 [size =\"50698240\"]\n  10 [size=\"13938688\", alpha=\"0.19\", expect_size=\"6969344\"] \n  11 [size=\"81950720\", alpha=\"0.05\", expect_size=\"40975360\"] \n  11 -> 12 [size =\"40975360\"]\n  11 -> 13 [size =\"40975360\"]\n  12 [size=\"69031936\", alpha=\"0.14\", expect_size=\"34515968\"] \n  12 -> 14 [size =\"34515968\"]\n  13 [size=\"59621376\", alpha=\"0.00\", expect_size=\"29810688\"] \n  14 [size=\"102055936\", alpha=\"0.02\", expect_size=\"51027968\"] \n  14 -> 15 [size =\"51027968\"]\n  15 [size=\"31696896\", alpha=\"0.14\", expect_size=\"15848448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72536064\", alpha=\"0.04\", expect_size=\"36268032\"] \n  1 -> 8 [size =\"36268032\"]\n  1 -> 8 [size =\"36268032\"]\n  1 -> 9 [size =\"36268032\"]\n  1 -> 10 [size =\"36268032\"]\n  2 [size=\"16697344\", alpha=\"0.11\", expect_size=\"8348672\"] \n  2 -> 8 [size =\"8348672\"]\n  2 -> 10 [size =\"8348672\"]\n  3 [size=\"93642752\", alpha=\"0.09\", expect_size=\"46821376\"] \n  3 -> 6 [size =\"46821376\"]\n  3 -> 10 [size =\"46821376\"]\n  4 [size=\"21293056\", alpha=\"0.07\", expect_size=\"10646528\"] \n  4 -> 6 [size =\"10646528\"]\n  4 -> 7 [size =\"10646528\"]\n  4 -> 8 [size =\"10646528\"]\n  4 -> 10 [size =\"10646528\"]\n  5 [size=\"92807168\", alpha=\"0.19\", expect_size=\"46403584\"] \n  5 -> 6 [size =\"46403584\"]\n  5 -> 8 [size =\"46403584\"]\n  5 -> 9 [size =\"46403584\"]\n  5 -> 10 [size =\"46403584\"]\n  6 [size=\"33224704\", alpha=\"0.07\", expect_size=\"16612352\"] \n  6 -> 11 [size =\"16612352\"]\n  6 -> 13 [size =\"16612352\"]\n  6 -> 15 [size =\"16612352\"]\n  7 [size=\"29022208\", alpha=\"0.16\", expect_size=\"14511104\"] \n  7 -> 12 [size =\"14511104\"]\n  7 -> 13 [size =\"14511104\"]\n  7 -> 14 [size =\"14511104\"]\n  7 -> 15 [size =\"14511104\"]\n  8 [size=\"65767424\", alpha=\"0.15\", expect_size=\"32883712\"] \n  8 -> 12 [size =\"32883712\"]\n  8 -> 14 [size =\"32883712\"]\n  8 -> 15 [size =\"32883712\"]\n  9 [size=\"74606592\", alpha=\"0.10\", expect_size=\"37303296\"] \n  9 -> 12 [size =\"37303296\"]\n  9 -> 13 [size =\"37303296\"]\n  9 -> 14 [size =\"37303296\"]\n  9 -> 15 [size =\"37303296\"]\n  10 [size=\"91209728\", alpha=\"0.20\", expect_size=\"45604864\"] \n  10 -> 15 [size =\"45604864\"]\n  11 [size=\"87828480\", alpha=\"0.17\", expect_size=\"43914240\"] \n  12 [size=\"104433664\", alpha=\"0.10\", expect_size=\"52216832\"] \n  13 [size=\"61179904\", alpha=\"0.05\", expect_size=\"30589952\"] \n  14 [size=\"11157504\", alpha=\"0.15\", expect_size=\"5578752\"] \n  15 [size=\"45021184\", alpha=\"0.10\", expect_size=\"22510592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38422528\", alpha=\"0.12\", expect_size=\"19211264\"] \n  1 -> 8 [size =\"19211264\"]\n  1 -> 9 [size =\"19211264\"]\n  2 [size=\"84625408\", alpha=\"0.03\", expect_size=\"42312704\"] \n  2 -> 11 [size =\"42312704\"]\n  3 [size=\"62162944\", alpha=\"0.06\", expect_size=\"31081472\"] \n  3 -> 6 [size =\"31081472\"]\n  4 [size=\"49498112\", alpha=\"0.17\", expect_size=\"24749056\"] \n  4 -> 7 [size =\"24749056\"]\n  4 -> 9 [size =\"24749056\"]\n  5 [size=\"84736000\", alpha=\"0.09\", expect_size=\"42368000\"] \n  5 -> 7 [size =\"42368000\"]\n  5 -> 10 [size =\"42368000\"]\n  6 [size=\"69132288\", alpha=\"0.10\", expect_size=\"34566144\"] \n  6 -> 14 [size =\"34566144\"]\n  7 [size=\"85747712\", alpha=\"0.01\", expect_size=\"42873856\"] \n  7 -> 13 [size =\"42873856\"]\n  8 [size=\"13867008\", alpha=\"0.03\", expect_size=\"6933504\"] \n  9 [size=\"63258624\", alpha=\"0.13\", expect_size=\"31629312\"] \n  9 -> 12 [size =\"31629312\"]\n  9 -> 15 [size =\"31629312\"]\n  10 [size=\"64624640\", alpha=\"0.09\", expect_size=\"32312320\"] \n  10 -> 14 [size =\"32312320\"]\n  10 -> 15 [size =\"32312320\"]\n  11 [size=\"70895616\", alpha=\"0.03\", expect_size=\"35447808\"] \n  12 [size=\"34482176\", alpha=\"0.08\", expect_size=\"17241088\"] \n  13 [size=\"48508928\", alpha=\"0.13\", expect_size=\"24254464\"] \n  14 [size=\"75800576\", alpha=\"0.05\", expect_size=\"37900288\"] \n  15 [size=\"60403712\", alpha=\"0.08\", expect_size=\"30201856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73349120\", alpha=\"0.15\", expect_size=\"29339648\"] \n  1 -> 5 [size =\"29339648\"]\n  2 [size=\"98088960\", alpha=\"0.02\", expect_size=\"39235584\"] \n  2 -> 4 [size =\"39235584\"]\n  2 -> 5 [size =\"39235584\"]\n  2 -> 6 [size =\"39235584\"]\n  3 [size=\"98037760\", alpha=\"0.06\", expect_size=\"39215104\"] \n  3 -> 6 [size =\"39215104\"]\n  4 [size=\"37944320\", alpha=\"0.20\", expect_size=\"15177728\"] \n  4 -> 7 [size =\"15177728\"]\n  5 [size=\"73617920\", alpha=\"0.03\", expect_size=\"29447168\"] \n  5 -> 9 [size =\"29447168\"]\n  6 [size=\"120647680\", alpha=\"0.06\", expect_size=\"48259072\"] \n  6 -> 8 [size =\"48259072\"]\n  7 [size=\"13255680\", alpha=\"0.01\", expect_size=\"5302272\"] \n  7 -> 10 [size =\"5302272\"]\n  7 -> 11 [size =\"5302272\"]\n  8 [size=\"125990400\", alpha=\"0.15\", expect_size=\"50396160\"] \n  8 -> 12 [size =\"50396160\"]\n  9 [size=\"50017280\", alpha=\"0.08\", expect_size=\"20006912\"] \n  9 -> 10 [size =\"20006912\"]\n  10 [size=\"129297920\", alpha=\"0.09\", expect_size=\"51719168\"] \n  11 [size=\"17937920\", alpha=\"0.06\", expect_size=\"7175168\"] \n  11 -> 13 [size =\"7175168\"]\n  11 -> 14 [size =\"7175168\"]\n  12 [size=\"107558400\", alpha=\"0.12\", expect_size=\"43023360\"] \n  12 -> 13 [size =\"43023360\"]\n  12 -> 14 [size =\"43023360\"]\n  13 [size=\"120888320\", alpha=\"0.16\", expect_size=\"48355328\"] \n  13 -> 15 [size =\"48355328\"]\n  14 [size=\"40668160\", alpha=\"0.06\", expect_size=\"16267264\"] \n  14 -> 15 [size =\"16267264\"]\n  15 [size=\"38389760\", alpha=\"0.15\", expect_size=\"15355904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22515712\", alpha=\"0.10\", expect_size=\"11257856\"] \n  1 -> 2 [size =\"11257856\"]\n  2 [size=\"95131648\", alpha=\"0.16\", expect_size=\"47565824\"] \n  2 -> 3 [size =\"47565824\"]\n  3 [size=\"59322368\", alpha=\"0.11\", expect_size=\"29661184\"] \n  3 -> 4 [size =\"29661184\"]\n  4 [size=\"53682176\", alpha=\"0.10\", expect_size=\"26841088\"] \n  4 -> 5 [size =\"26841088\"]\n  5 [size=\"90236928\", alpha=\"0.18\", expect_size=\"45118464\"] \n  5 -> 6 [size =\"45118464\"]\n  6 [size=\"61630464\", alpha=\"0.07\", expect_size=\"30815232\"] \n  6 -> 7 [size =\"30815232\"]\n  7 [size=\"40603648\", alpha=\"0.16\", expect_size=\"20301824\"] \n  7 -> 8 [size =\"20301824\"]\n  8 [size=\"87552000\", alpha=\"0.04\", expect_size=\"43776000\"] \n  8 -> 9 [size =\"43776000\"]\n  9 [size=\"75339776\", alpha=\"0.01\", expect_size=\"37669888\"] \n  9 -> 10 [size =\"37669888\"]\n  10 [size=\"22175744\", alpha=\"0.06\", expect_size=\"11087872\"] \n  10 -> 11 [size =\"11087872\"]\n  11 [size=\"97959936\", alpha=\"0.14\", expect_size=\"48979968\"] \n  11 -> 12 [size =\"48979968\"]\n  12 [size=\"51628032\", alpha=\"0.09\", expect_size=\"25814016\"] \n  12 -> 13 [size =\"25814016\"]\n  13 [size=\"30941184\", alpha=\"0.17\", expect_size=\"15470592\"] \n  13 -> 14 [size =\"15470592\"]\n  14 [size=\"81311744\", alpha=\"0.13\", expect_size=\"40655872\"] \n  14 -> 15 [size =\"40655872\"]\n  15 [size=\"32634880\", alpha=\"0.01\", expect_size=\"16317440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168396800\", alpha=\"0.10\", expect_size=\"50519040\"] \n  1 -> 5 [size =\"50519040\"]\n  1 -> 5 [size =\"50519040\"]\n  1 -> 6 [size =\"50519040\"]\n  2 [size=\"106352640\", alpha=\"0.05\", expect_size=\"31905792\"] \n  2 -> 4 [size =\"31905792\"]\n  3 [size=\"69802667\", alpha=\"0.06\", expect_size=\"20940800\"] \n  3 -> 4 [size =\"20940800\"]\n  3 -> 5 [size =\"20940800\"]\n  3 -> 6 [size =\"20940800\"]\n  4 [size=\"26671787\", alpha=\"0.01\", expect_size=\"8001536\"] \n  5 [size=\"142957227\", alpha=\"0.19\", expect_size=\"42887168\"] \n  5 -> 7 [size =\"42887168\"]\n  5 -> 8 [size =\"42887168\"]\n  6 [size=\"118712320\", alpha=\"0.16\", expect_size=\"35613696\"] \n  6 -> 7 [size =\"35613696\"]\n  6 -> 8 [size =\"35613696\"]\n  7 [size=\"165102933\", alpha=\"0.09\", expect_size=\"49530880\"] \n  7 -> 9 [size =\"49530880\"]\n  7 -> 11 [size =\"49530880\"]\n  8 [size=\"137417387\", alpha=\"0.01\", expect_size=\"41225216\"] \n  8 -> 9 [size =\"41225216\"]\n  8 -> 10 [size =\"41225216\"]\n  8 -> 11 [size =\"41225216\"]\n  9 [size=\"144298667\", alpha=\"0.17\", expect_size=\"43289600\"] \n  9 -> 12 [size =\"43289600\"]\n  9 -> 13 [size =\"43289600\"]\n  10 [size=\"48267947\", alpha=\"0.13\", expect_size=\"14480384\"] \n  10 -> 13 [size =\"14480384\"]\n  11 [size=\"118661120\", alpha=\"0.04\", expect_size=\"35598336\"] \n  11 -> 12 [size =\"35598336\"]\n  11 -> 13 [size =\"35598336\"]\n  11 -> 14 [size =\"35598336\"]\n  12 [size=\"38714027\", alpha=\"0.00\", expect_size=\"11614208\"] \n  12 -> 15 [size =\"11614208\"]\n  13 [size=\"81592320\", alpha=\"0.19\", expect_size=\"24477696\"] \n  13 -> 15 [size =\"24477696\"]\n  14 [size=\"128907947\", alpha=\"0.13\", expect_size=\"38672384\"] \n  14 -> 15 [size =\"38672384\"]\n  15 [size=\"137557333\", alpha=\"0.05\", expect_size=\"41267200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54816768\", alpha=\"0.11\", expect_size=\"27408384\"] \n  1 -> 2 [size =\"27408384\"]\n  2 [size=\"74174464\", alpha=\"0.12\", expect_size=\"37087232\"] \n  2 -> 3 [size =\"37087232\"]\n  3 [size=\"33236992\", alpha=\"0.01\", expect_size=\"16618496\"] \n  3 -> 4 [size =\"16618496\"]\n  4 [size=\"46788608\", alpha=\"0.07\", expect_size=\"23394304\"] \n  4 -> 5 [size =\"23394304\"]\n  5 [size=\"23496704\", alpha=\"0.13\", expect_size=\"11748352\"] \n  5 -> 6 [size =\"11748352\"]\n  6 [size=\"59506688\", alpha=\"0.05\", expect_size=\"29753344\"] \n  6 -> 7 [size =\"29753344\"]\n  7 [size=\"58628096\", alpha=\"0.19\", expect_size=\"29314048\"] \n  7 -> 8 [size =\"29314048\"]\n  8 [size=\"47699968\", alpha=\"0.11\", expect_size=\"23849984\"] \n  8 -> 9 [size =\"23849984\"]\n  9 [size=\"56809472\", alpha=\"0.08\", expect_size=\"28404736\"] \n  9 -> 10 [size =\"28404736\"]\n  10 [size=\"18006016\", alpha=\"0.18\", expect_size=\"9003008\"] \n  10 -> 11 [size =\"9003008\"]\n  11 [size=\"91115520\", alpha=\"0.20\", expect_size=\"45557760\"] \n  11 -> 12 [size =\"45557760\"]\n  12 [size=\"50726912\", alpha=\"0.18\", expect_size=\"25363456\"] \n  12 -> 13 [size =\"25363456\"]\n  13 [size=\"10795008\", alpha=\"0.02\", expect_size=\"5397504\"] \n  13 -> 14 [size =\"5397504\"]\n  14 [size=\"13207552\", alpha=\"0.06\", expect_size=\"6603776\"] \n  14 -> 15 [size =\"6603776\"]\n  15 [size=\"44476416\", alpha=\"0.12\", expect_size=\"22238208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49309696\", alpha=\"0.02\", expect_size=\"24654848\"] \n  1 -> 2 [size =\"24654848\"]\n  1 -> 3 [size =\"24654848\"]\n  2 [size=\"34695168\", alpha=\"0.09\", expect_size=\"17347584\"] \n  2 -> 4 [size =\"17347584\"]\n  2 -> 5 [size =\"17347584\"]\n  3 [size=\"19830784\", alpha=\"0.05\", expect_size=\"9915392\"] \n  3 -> 4 [size =\"9915392\"]\n  3 -> 5 [size =\"9915392\"]\n  4 [size=\"31234048\", alpha=\"0.02\", expect_size=\"15617024\"] \n  4 -> 6 [size =\"15617024\"]\n  4 -> 7 [size =\"15617024\"]\n  5 [size=\"82759680\", alpha=\"0.14\", expect_size=\"41379840\"] \n  5 -> 6 [size =\"41379840\"]\n  6 [size=\"81133568\", alpha=\"0.19\", expect_size=\"40566784\"] \n  7 [size=\"84436992\", alpha=\"0.04\", expect_size=\"42218496\"] \n  7 -> 8 [size =\"42218496\"]\n  8 [size=\"78247936\", alpha=\"0.04\", expect_size=\"39123968\"] \n  8 -> 9 [size =\"39123968\"]\n  8 -> 10 [size =\"39123968\"]\n  9 [size=\"81860608\", alpha=\"0.12\", expect_size=\"40930304\"] \n  10 [size=\"101689344\", alpha=\"0.00\", expect_size=\"50844672\"] \n  10 -> 11 [size =\"50844672\"]\n  11 [size=\"41371648\", alpha=\"0.19\", expect_size=\"20685824\"] \n  11 -> 12 [size =\"20685824\"]\n  12 [size=\"50507776\", alpha=\"0.16\", expect_size=\"25253888\"] \n  12 -> 13 [size =\"25253888\"]\n  13 [size=\"93284352\", alpha=\"0.18\", expect_size=\"46642176\"] \n  13 -> 14 [size =\"46642176\"]\n  14 [size=\"20424704\", alpha=\"0.05\", expect_size=\"10212352\"] \n  14 -> 15 [size =\"10212352\"]\n  15 [size=\"30689280\", alpha=\"0.01\", expect_size=\"15344640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87920640\", alpha=\"0.15\", expect_size=\"35168256\"] \n  1 -> 7 [size =\"35168256\"]\n  2 [size=\"85544960\", alpha=\"0.06\", expect_size=\"34217984\"] \n  2 -> 7 [size =\"34217984\"]\n  2 -> 8 [size =\"34217984\"]\n  2 -> 11 [size =\"34217984\"]\n  3 [size=\"20075520\", alpha=\"0.05\", expect_size=\"8030208\"] \n  3 -> 6 [size =\"8030208\"]\n  3 -> 7 [size =\"8030208\"]\n  3 -> 8 [size =\"8030208\"]\n  3 -> 10 [size =\"8030208\"]\n  3 -> 11 [size =\"8030208\"]\n  4 [size=\"39485440\", alpha=\"0.05\", expect_size=\"15794176\"] \n  4 -> 6 [size =\"15794176\"]\n  4 -> 8 [size =\"15794176\"]\n  5 [size=\"48002560\", alpha=\"0.02\", expect_size=\"19201024\"] \n  5 -> 6 [size =\"19201024\"]\n  5 -> 9 [size =\"19201024\"]\n  6 [size=\"64140800\", alpha=\"0.07\", expect_size=\"25656320\"] \n  6 -> 14 [size =\"25656320\"]\n  7 [size=\"64967680\", alpha=\"0.10\", expect_size=\"25987072\"] \n  7 -> 14 [size =\"25987072\"]\n  8 [size=\"46225920\", alpha=\"0.13\", expect_size=\"18490368\"] \n  8 -> 13 [size =\"18490368\"]\n  9 [size=\"59453440\", alpha=\"0.08\", expect_size=\"23781376\"] \n  10 [size=\"66298880\", alpha=\"0.03\", expect_size=\"26519552\"] \n  10 -> 13 [size =\"26519552\"]\n  10 -> 15 [size =\"26519552\"]\n  11 [size=\"89254400\", alpha=\"0.11\", expect_size=\"35701760\"] \n  11 -> 12 [size =\"35701760\"]\n  12 [size=\"60904960\", alpha=\"0.07\", expect_size=\"24361984\"] \n  13 [size=\"97402880\", alpha=\"0.04\", expect_size=\"38961152\"] \n  14 [size=\"124052480\", alpha=\"0.08\", expect_size=\"49620992\"] \n  15 [size=\"33105920\", alpha=\"0.15\", expect_size=\"13242368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43343872\", alpha=\"0.15\", expect_size=\"21671936\"] \n  1 -> 2 [size =\"21671936\"]\n  2 [size=\"45381632\", alpha=\"0.05\", expect_size=\"22690816\"] \n  2 -> 3 [size =\"22690816\"]\n  3 [size=\"40810496\", alpha=\"0.01\", expect_size=\"20405248\"] \n  3 -> 4 [size =\"20405248\"]\n  4 [size=\"48482304\", alpha=\"0.06\", expect_size=\"24241152\"] \n  4 -> 5 [size =\"24241152\"]\n  5 [size=\"62152704\", alpha=\"0.13\", expect_size=\"31076352\"] \n  5 -> 6 [size =\"31076352\"]\n  6 [size=\"103612416\", alpha=\"0.09\", expect_size=\"51806208\"] \n  6 -> 7 [size =\"51806208\"]\n  7 [size=\"72988672\", alpha=\"0.07\", expect_size=\"36494336\"] \n  7 -> 8 [size =\"36494336\"]\n  8 [size=\"62003200\", alpha=\"0.18\", expect_size=\"31001600\"] \n  8 -> 9 [size =\"31001600\"]\n  9 [size=\"21803008\", alpha=\"0.15\", expect_size=\"10901504\"] \n  9 -> 10 [size =\"10901504\"]\n  10 [size=\"33077248\", alpha=\"0.00\", expect_size=\"16538624\"] \n  10 -> 11 [size =\"16538624\"]\n  11 [size=\"56469504\", alpha=\"0.08\", expect_size=\"28234752\"] \n  11 -> 12 [size =\"28234752\"]\n  12 [size=\"31688704\", alpha=\"0.17\", expect_size=\"15844352\"] \n  12 -> 13 [size =\"15844352\"]\n  13 [size=\"54286336\", alpha=\"0.03\", expect_size=\"27143168\"] \n  13 -> 14 [size =\"27143168\"]\n  14 [size=\"60284928\", alpha=\"0.19\", expect_size=\"30142464\"] \n  14 -> 15 [size =\"30142464\"]\n  15 [size=\"89948160\", alpha=\"0.03\", expect_size=\"44974080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105136640\", alpha=\"0.14\", expect_size=\"42054656\"] \n  1 -> 9 [size =\"42054656\"]\n  1 -> 10 [size =\"42054656\"]\n  2 [size=\"53601280\", alpha=\"0.09\", expect_size=\"21440512\"] \n  2 -> 9 [size =\"21440512\"]\n  2 -> 10 [size =\"21440512\"]\n  3 [size=\"41100800\", alpha=\"0.11\", expect_size=\"16440320\"] \n  3 -> 9 [size =\"16440320\"]\n  4 [size=\"76477440\", alpha=\"0.14\", expect_size=\"30590976\"] \n  4 -> 9 [size =\"30590976\"]\n  4 -> 10 [size =\"30590976\"]\n  5 [size=\"40071680\", alpha=\"0.13\", expect_size=\"16028672\"] \n  5 -> 8 [size =\"16028672\"]\n  5 -> 9 [size =\"16028672\"]\n  6 [size=\"111685120\", alpha=\"0.10\", expect_size=\"44674048\"] \n  6 -> 8 [size =\"44674048\"]\n  6 -> 10 [size =\"44674048\"]\n  7 [size=\"21168640\", alpha=\"0.15\", expect_size=\"8467456\"] \n  7 -> 8 [size =\"8467456\"]\n  7 -> 10 [size =\"8467456\"]\n  8 [size=\"44313600\", alpha=\"0.12\", expect_size=\"17725440\"] \n  8 -> 12 [size =\"17725440\"]\n  8 -> 13 [size =\"17725440\"]\n  8 -> 15 [size =\"17725440\"]\n  9 [size=\"50094080\", alpha=\"0.11\", expect_size=\"20037632\"] \n  9 -> 14 [size =\"20037632\"]\n  9 -> 15 [size =\"20037632\"]\n  10 [size=\"38888960\", alpha=\"0.13\", expect_size=\"15555584\"] \n  10 -> 11 [size =\"15555584\"]\n  10 -> 12 [size =\"15555584\"]\n  10 -> 14 [size =\"15555584\"]\n  10 -> 15 [size =\"15555584\"]\n  11 [size=\"16089600\", alpha=\"0.08\", expect_size=\"6435840\"] \n  12 [size=\"99760640\", alpha=\"0.06\", expect_size=\"39904256\"] \n  13 [size=\"32476160\", alpha=\"0.14\", expect_size=\"12990464\"] \n  14 [size=\"98580480\", alpha=\"0.10\", expect_size=\"39432192\"] \n  15 [size=\"66083840\", alpha=\"0.04\", expect_size=\"26433536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120637440\", alpha=\"0.13\", expect_size=\"48254976\"] \n  1 -> 3 [size =\"48254976\"]\n  1 -> 4 [size =\"48254976\"]\n  2 [size=\"77706240\", alpha=\"0.14\", expect_size=\"31082496\"] \n  2 -> 3 [size =\"31082496\"]\n  2 -> 4 [size =\"31082496\"]\n  3 [size=\"96189440\", alpha=\"0.03\", expect_size=\"38475776\"] \n  3 -> 5 [size =\"38475776\"]\n  4 [size=\"52224000\", alpha=\"0.14\", expect_size=\"20889600\"] \n  4 -> 5 [size =\"20889600\"]\n  5 [size=\"79941120\", alpha=\"0.14\", expect_size=\"31976448\"] \n  5 -> 6 [size =\"31976448\"]\n  6 [size=\"16747520\", alpha=\"0.09\", expect_size=\"6699008\"] \n  6 -> 7 [size =\"6699008\"]\n  7 [size=\"122680320\", alpha=\"0.17\", expect_size=\"49072128\"] \n  7 -> 8 [size =\"49072128\"]\n  8 [size=\"54187520\", alpha=\"0.00\", expect_size=\"21675008\"] \n  8 -> 9 [size =\"21675008\"]\n  9 [size=\"61731840\", alpha=\"0.01\", expect_size=\"24692736\"] \n  9 -> 10 [size =\"24692736\"]\n  10 [size=\"109493760\", alpha=\"0.09\", expect_size=\"43797504\"] \n  10 -> 11 [size =\"43797504\"]\n  11 [size=\"90339840\", alpha=\"0.03\", expect_size=\"36135936\"] \n  11 -> 12 [size =\"36135936\"]\n  12 [size=\"48481280\", alpha=\"0.17\", expect_size=\"19392512\"] \n  12 -> 13 [size =\"19392512\"]\n  13 [size=\"15329280\", alpha=\"0.10\", expect_size=\"6131712\"] \n  13 -> 14 [size =\"6131712\"]\n  14 [size=\"35763200\", alpha=\"0.10\", expect_size=\"14305280\"] \n  14 -> 15 [size =\"14305280\"]\n  15 [size=\"120663040\", alpha=\"0.10\", expect_size=\"48265216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21452800\", alpha=\"0.01\", expect_size=\"8581120\"] \n  1 -> 3 [size =\"8581120\"]\n  1 -> 4 [size =\"8581120\"]\n  2 [size=\"123678720\", alpha=\"0.03\", expect_size=\"49471488\"] \n  2 -> 3 [size =\"49471488\"]\n  2 -> 4 [size =\"49471488\"]\n  3 [size=\"73520640\", alpha=\"0.11\", expect_size=\"29408256\"] \n  3 -> 5 [size =\"29408256\"]\n  3 -> 6 [size =\"29408256\"]\n  4 [size=\"120192000\", alpha=\"0.12\", expect_size=\"48076800\"] \n  4 -> 5 [size =\"48076800\"]\n  4 -> 6 [size =\"48076800\"]\n  4 -> 7 [size =\"48076800\"]\n  5 [size=\"75028480\", alpha=\"0.16\", expect_size=\"30011392\"] \n  5 -> 8 [size =\"30011392\"]\n  6 [size=\"99717120\", alpha=\"0.14\", expect_size=\"39886848\"] \n  6 -> 8 [size =\"39886848\"]\n  6 -> 9 [size =\"39886848\"]\n  7 [size=\"15726080\", alpha=\"0.02\", expect_size=\"6290432\"] \n  7 -> 9 [size =\"6290432\"]\n  8 [size=\"38236160\", alpha=\"0.13\", expect_size=\"15294464\"] \n  8 -> 10 [size =\"15294464\"]\n  9 [size=\"51781120\", alpha=\"0.04\", expect_size=\"20712448\"] \n  9 -> 10 [size =\"20712448\"]\n  9 -> 11 [size =\"20712448\"]\n  10 [size=\"58813440\", alpha=\"0.06\", expect_size=\"23525376\"] \n  10 -> 12 [size =\"23525376\"]\n  10 -> 13 [size =\"23525376\"]\n  11 [size=\"92541440\", alpha=\"0.18\", expect_size=\"37016576\"] \n  11 -> 12 [size =\"37016576\"]\n  11 -> 13 [size =\"37016576\"]\n  12 [size=\"101271040\", alpha=\"0.13\", expect_size=\"40508416\"] \n  12 -> 14 [size =\"40508416\"]\n  12 -> 15 [size =\"40508416\"]\n  13 [size=\"117757440\", alpha=\"0.16\", expect_size=\"47102976\"] \n  13 -> 14 [size =\"47102976\"]\n  13 -> 15 [size =\"47102976\"]\n  14 [size=\"66273280\", alpha=\"0.10\", expect_size=\"26509312\"] \n  15 [size=\"19566080\", alpha=\"0.16\", expect_size=\"7826432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29214720\", alpha=\"0.01\", expect_size=\"14607360\"] \n  1 -> 7 [size =\"14607360\"]\n  1 -> 9 [size =\"14607360\"]\n  1 -> 10 [size =\"14607360\"]\n  1 -> 11 [size =\"14607360\"]\n  1 -> 12 [size =\"14607360\"]\n  2 [size=\"11098112\", alpha=\"0.15\", expect_size=\"5549056\"] \n  2 -> 7 [size =\"5549056\"]\n  2 -> 9 [size =\"5549056\"]\n  2 -> 10 [size =\"5549056\"]\n  2 -> 11 [size =\"5549056\"]\n  2 -> 12 [size =\"5549056\"]\n  3 [size=\"33300480\", alpha=\"0.01\", expect_size=\"16650240\"] \n  3 -> 7 [size =\"16650240\"]\n  3 -> 8 [size =\"16650240\"]\n  3 -> 10 [size =\"16650240\"]\n  3 -> 12 [size =\"16650240\"]\n  4 [size=\"52072448\", alpha=\"0.13\", expect_size=\"26036224\"] \n  4 -> 7 [size =\"26036224\"]\n  4 -> 9 [size =\"26036224\"]\n  5 [size=\"55881728\", alpha=\"0.15\", expect_size=\"27940864\"] \n  5 -> 9 [size =\"27940864\"]\n  5 -> 12 [size =\"27940864\"]\n  6 [size=\"103786496\", alpha=\"0.19\", expect_size=\"51893248\"] \n  6 -> 8 [size =\"51893248\"]\n  6 -> 9 [size =\"51893248\"]\n  6 -> 10 [size =\"51893248\"]\n  6 -> 11 [size =\"51893248\"]\n  6 -> 12 [size =\"51893248\"]\n  7 [size=\"46931968\", alpha=\"0.19\", expect_size=\"23465984\"] \n  7 -> 13 [size =\"23465984\"]\n  7 -> 14 [size =\"23465984\"]\n  7 -> 15 [size =\"23465984\"]\n  8 [size=\"23042048\", alpha=\"0.07\", expect_size=\"11521024\"] \n  8 -> 14 [size =\"11521024\"]\n  8 -> 14 [size =\"11521024\"]\n  8 -> 15 [size =\"11521024\"]\n  9 [size=\"55363584\", alpha=\"0.18\", expect_size=\"27681792\"] \n  9 -> 14 [size =\"27681792\"]\n  9 -> 15 [size =\"27681792\"]\n  10 [size=\"95545344\", alpha=\"0.10\", expect_size=\"47772672\"] \n  10 -> 13 [size =\"47772672\"]\n  10 -> 15 [size =\"47772672\"]\n  11 [size=\"12460032\", alpha=\"0.17\", expect_size=\"6230016\"] \n  11 -> 13 [size =\"6230016\"]\n  11 -> 14 [size =\"6230016\"]\n  12 [size=\"15353856\", alpha=\"0.00\", expect_size=\"7676928\"] \n  12 -> 13 [size =\"7676928\"]\n  12 -> 14 [size =\"7676928\"]\n  12 -> 15 [size =\"7676928\"]\n  13 [size=\"86929408\", alpha=\"0.19\", expect_size=\"43464704\"] \n  14 [size=\"89473024\", alpha=\"0.02\", expect_size=\"44736512\"] \n  15 [size=\"58195968\", alpha=\"0.17\", expect_size=\"29097984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43022336\", alpha=\"0.10\", expect_size=\"21511168\"] \n  1 -> 7 [size =\"21511168\"]\n  1 -> 9 [size =\"21511168\"]\n  2 [size=\"79923200\", alpha=\"0.18\", expect_size=\"39961600\"] \n  2 -> 8 [size =\"39961600\"]\n  2 -> 9 [size =\"39961600\"]\n  2 -> 10 [size =\"39961600\"]\n  2 -> 11 [size =\"39961600\"]\n  2 -> 13 [size =\"39961600\"]\n  3 [size=\"50098176\", alpha=\"0.17\", expect_size=\"25049088\"] \n  3 -> 7 [size =\"25049088\"]\n  3 -> 8 [size =\"25049088\"]\n  3 -> 9 [size =\"25049088\"]\n  3 -> 11 [size =\"25049088\"]\n  3 -> 12 [size =\"25049088\"]\n  4 [size=\"34420736\", alpha=\"0.03\", expect_size=\"17210368\"] \n  4 -> 7 [size =\"17210368\"]\n  4 -> 8 [size =\"17210368\"]\n  4 -> 9 [size =\"17210368\"]\n  4 -> 11 [size =\"17210368\"]\n  4 -> 13 [size =\"17210368\"]\n  5 [size=\"49424384\", alpha=\"0.06\", expect_size=\"24712192\"] \n  5 -> 7 [size =\"24712192\"]\n  5 -> 8 [size =\"24712192\"]\n  5 -> 13 [size =\"24712192\"]\n  6 [size=\"94459904\", alpha=\"0.02\", expect_size=\"47229952\"] \n  6 -> 9 [size =\"47229952\"]\n  6 -> 10 [size =\"47229952\"]\n  7 [size=\"58828800\", alpha=\"0.15\", expect_size=\"29414400\"] \n  7 -> 14 [size =\"29414400\"]\n  7 -> 15 [size =\"29414400\"]\n  8 [size=\"21168128\", alpha=\"0.16\", expect_size=\"10584064\"] \n  8 -> 14 [size =\"10584064\"]\n  8 -> 15 [size =\"10584064\"]\n  9 [size=\"47429632\", alpha=\"0.01\", expect_size=\"23714816\"] \n  9 -> 14 [size =\"23714816\"]\n  9 -> 15 [size =\"23714816\"]\n  10 [size=\"73050112\", alpha=\"0.19\", expect_size=\"36525056\"] \n  10 -> 14 [size =\"36525056\"]\n  11 [size=\"94789632\", alpha=\"0.14\", expect_size=\"47394816\"] \n  11 -> 15 [size =\"47394816\"]\n  12 [size=\"45602816\", alpha=\"0.19\", expect_size=\"22801408\"] \n  12 -> 14 [size =\"22801408\"]\n  12 -> 15 [size =\"22801408\"]\n  13 [size=\"34004992\", alpha=\"0.09\", expect_size=\"17002496\"] \n  13 -> 14 [size =\"17002496\"]\n  13 -> 15 [size =\"17002496\"]\n  14 [size=\"20783104\", alpha=\"0.04\", expect_size=\"10391552\"] \n  15 [size=\"36130816\", alpha=\"0.16\", expect_size=\"18065408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55576576\", alpha=\"0.18\", expect_size=\"27788288\"] \n  1 -> 7 [size =\"27788288\"]\n  1 -> 9 [size =\"27788288\"]\n  2 [size=\"52871168\", alpha=\"0.20\", expect_size=\"26435584\"] \n  2 -> 8 [size =\"26435584\"]\n  2 -> 9 [size =\"26435584\"]\n  2 -> 11 [size =\"26435584\"]\n  2 -> 12 [size =\"26435584\"]\n  3 [size=\"17901568\", alpha=\"0.13\", expect_size=\"8950784\"] \n  3 -> 9 [size =\"8950784\"]\n  4 [size=\"61782016\", alpha=\"0.13\", expect_size=\"30891008\"] \n  4 -> 8 [size =\"30891008\"]\n  4 -> 10 [size =\"30891008\"]\n  4 -> 11 [size =\"30891008\"]\n  4 -> 12 [size =\"30891008\"]\n  5 [size=\"87554048\", alpha=\"0.16\", expect_size=\"43777024\"] \n  5 -> 7 [size =\"43777024\"]\n  5 -> 9 [size =\"43777024\"]\n  5 -> 10 [size =\"43777024\"]\n  6 [size=\"82028544\", alpha=\"0.15\", expect_size=\"41014272\"] \n  6 -> 7 [size =\"41014272\"]\n  6 -> 8 [size =\"41014272\"]\n  6 -> 11 [size =\"41014272\"]\n  7 [size=\"67016704\", alpha=\"0.09\", expect_size=\"33508352\"] \n  7 -> 13 [size =\"33508352\"]\n  8 [size=\"62064640\", alpha=\"0.04\", expect_size=\"31032320\"] \n  8 -> 13 [size =\"31032320\"]\n  8 -> 14 [size =\"31032320\"]\n  9 [size=\"34242560\", alpha=\"0.13\", expect_size=\"17121280\"] \n  9 -> 14 [size =\"17121280\"]\n  9 -> 14 [size =\"17121280\"]\n  9 -> 15 [size =\"17121280\"]\n  10 [size=\"91502592\", alpha=\"0.08\", expect_size=\"45751296\"] \n  10 -> 15 [size =\"45751296\"]\n  11 [size=\"28164096\", alpha=\"0.10\", expect_size=\"14082048\"] \n  11 -> 14 [size =\"14082048\"]\n  11 -> 15 [size =\"14082048\"]\n  12 [size=\"19904512\", alpha=\"0.07\", expect_size=\"9952256\"] \n  12 -> 15 [size =\"9952256\"]\n  13 [size=\"17903616\", alpha=\"0.07\", expect_size=\"8951808\"] \n  14 [size=\"81399808\", alpha=\"0.13\", expect_size=\"40699904\"] \n  15 [size=\"46788608\", alpha=\"0.03\", expect_size=\"23394304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64514560\", alpha=\"0.10\", expect_size=\"25805824\"] \n  1 -> 11 [size =\"25805824\"]\n  2 [size=\"55114240\", alpha=\"0.09\", expect_size=\"22045696\"] \n  2 -> 13 [size =\"22045696\"]\n  3 [size=\"82954240\", alpha=\"0.00\", expect_size=\"33181696\"] \n  3 -> 12 [size =\"33181696\"]\n  4 [size=\"131000320\", alpha=\"0.09\", expect_size=\"52400128\"] \n  5 [size=\"27223040\", alpha=\"0.07\", expect_size=\"10889216\"] \n  5 -> 11 [size =\"10889216\"]\n  5 -> 14 [size =\"10889216\"]\n  6 [size=\"51397120\", alpha=\"0.06\", expect_size=\"20558848\"] \n  6 -> 11 [size =\"20558848\"]\n  6 -> 12 [size =\"20558848\"]\n  6 -> 13 [size =\"20558848\"]\n  6 -> 14 [size =\"20558848\"]\n  7 [size=\"116298240\", alpha=\"0.17\", expect_size=\"46519296\"] \n  7 -> 11 [size =\"46519296\"]\n  7 -> 13 [size =\"46519296\"]\n  7 -> 14 [size =\"46519296\"]\n  7 -> 14 [size =\"46519296\"]\n  8 [size=\"36784640\", alpha=\"0.17\", expect_size=\"14713856\"] \n  8 -> 13 [size =\"14713856\"]\n  9 [size=\"25103360\", alpha=\"0.09\", expect_size=\"10041344\"] \n  9 -> 11 [size =\"10041344\"]\n  9 -> 14 [size =\"10041344\"]\n  10 [size=\"48698880\", alpha=\"0.19\", expect_size=\"19479552\"] \n  10 -> 12 [size =\"19479552\"]\n  10 -> 15 [size =\"19479552\"]\n  11 [size=\"112803840\", alpha=\"0.11\", expect_size=\"45121536\"] \n  12 [size=\"51770880\", alpha=\"0.04\", expect_size=\"20708352\"] \n  13 [size=\"102543360\", alpha=\"0.19\", expect_size=\"41017344\"] \n  14 [size=\"103992320\", alpha=\"0.16\", expect_size=\"41596928\"] \n  15 [size=\"36193280\", alpha=\"0.11\", expect_size=\"14477312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34635776\", alpha=\"0.06\", expect_size=\"17317888\"] \n  1 -> 7 [size =\"17317888\"]\n  1 -> 9 [size =\"17317888\"]\n  1 -> 10 [size =\"17317888\"]\n  2 [size=\"47337472\", alpha=\"0.04\", expect_size=\"23668736\"] \n  2 -> 7 [size =\"23668736\"]\n  2 -> 8 [size =\"23668736\"]\n  2 -> 9 [size =\"23668736\"]\n  2 -> 10 [size =\"23668736\"]\n  2 -> 11 [size =\"23668736\"]\n  3 [size=\"96747520\", alpha=\"0.16\", expect_size=\"48373760\"] \n  3 -> 10 [size =\"48373760\"]\n  3 -> 11 [size =\"48373760\"]\n  4 [size=\"71358464\", alpha=\"0.02\", expect_size=\"35679232\"] \n  4 -> 7 [size =\"35679232\"]\n  4 -> 10 [size =\"35679232\"]\n  4 -> 11 [size =\"35679232\"]\n  5 [size=\"24709120\", alpha=\"0.17\", expect_size=\"12354560\"] \n  5 -> 10 [size =\"12354560\"]\n  5 -> 11 [size =\"12354560\"]\n  5 -> 11 [size =\"12354560\"]\n  5 -> 12 [size =\"12354560\"]\n  6 [size=\"12918784\", alpha=\"0.10\", expect_size=\"6459392\"] \n  6 -> 7 [size =\"6459392\"]\n  6 -> 10 [size =\"6459392\"]\n  7 [size=\"39725056\", alpha=\"0.19\", expect_size=\"19862528\"] \n  8 [size=\"100855808\", alpha=\"0.10\", expect_size=\"50427904\"] \n  8 -> 13 [size =\"50427904\"]\n  8 -> 14 [size =\"50427904\"]\n  8 -> 15 [size =\"50427904\"]\n  9 [size=\"60010496\", alpha=\"0.08\", expect_size=\"30005248\"] \n  9 -> 14 [size =\"30005248\"]\n  10 [size=\"87076864\", alpha=\"0.05\", expect_size=\"43538432\"] \n  10 -> 13 [size =\"43538432\"]\n  11 [size=\"43356160\", alpha=\"0.12\", expect_size=\"21678080\"] \n  11 -> 14 [size =\"21678080\"]\n  12 [size=\"70952960\", alpha=\"0.03\", expect_size=\"35476480\"] \n  12 -> 14 [size =\"35476480\"]\n  12 -> 15 [size =\"35476480\"]\n  13 [size=\"89511936\", alpha=\"0.13\", expect_size=\"44755968\"] \n  14 [size=\"72089600\", alpha=\"0.04\", expect_size=\"36044800\"] \n  15 [size=\"80910336\", alpha=\"0.18\", expect_size=\"40455168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103598080\", alpha=\"0.19\", expect_size=\"31079424\"] \n  2 [size=\"37823147\", alpha=\"0.02\", expect_size=\"11346944\"] \n  2 -> 3 [size =\"11346944\"]\n  3 [size=\"30423040\", alpha=\"0.18\", expect_size=\"9126912\"] \n  3 -> 4 [size =\"9126912\"]\n  3 -> 5 [size =\"9126912\"]\n  4 [size=\"168710827\", alpha=\"0.09\", expect_size=\"50613248\"] \n  4 -> 6 [size =\"50613248\"]\n  5 [size=\"121541973\", alpha=\"0.09\", expect_size=\"36462592\"] \n  5 -> 6 [size =\"36462592\"]\n  5 -> 7 [size =\"36462592\"]\n  6 [size=\"138042027\", alpha=\"0.09\", expect_size=\"41412608\"] \n  6 -> 8 [size =\"41412608\"]\n  6 -> 9 [size =\"41412608\"]\n  7 [size=\"145633280\", alpha=\"0.11\", expect_size=\"43689984\"] \n  7 -> 8 [size =\"43689984\"]\n  7 -> 9 [size =\"43689984\"]\n  8 [size=\"132044800\", alpha=\"0.04\", expect_size=\"39613440\"] \n  9 [size=\"116142080\", alpha=\"0.09\", expect_size=\"34842624\"] \n  9 -> 10 [size =\"34842624\"]\n  10 [size=\"134369280\", alpha=\"0.15\", expect_size=\"40310784\"] \n  10 -> 11 [size =\"40310784\"]\n  11 [size=\"69488640\", alpha=\"0.18\", expect_size=\"20846592\"] \n  11 -> 12 [size =\"20846592\"]\n  11 -> 13 [size =\"20846592\"]\n  12 [size=\"62037333\", alpha=\"0.10\", expect_size=\"18611200\"] \n  12 -> 14 [size =\"18611200\"]\n  13 [size=\"74001067\", alpha=\"0.17\", expect_size=\"22200320\"] \n  13 -> 14 [size =\"22200320\"]\n  14 [size=\"61368320\", alpha=\"0.00\", expect_size=\"18410496\"] \n  14 -> 15 [size =\"18410496\"]\n  15 [size=\"128593920\", alpha=\"0.04\", expect_size=\"38578176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13922304\", alpha=\"0.14\", expect_size=\"6961152\"] \n  1 -> 7 [size =\"6961152\"]\n  1 -> 8 [size =\"6961152\"]\n  1 -> 9 [size =\"6961152\"]\n  1 -> 10 [size =\"6961152\"]\n  1 -> 11 [size =\"6961152\"]\n  2 [size=\"42082304\", alpha=\"0.18\", expect_size=\"21041152\"] \n  2 -> 9 [size =\"21041152\"]\n  2 -> 10 [size =\"21041152\"]\n  3 [size=\"34383872\", alpha=\"0.19\", expect_size=\"17191936\"] \n  3 -> 7 [size =\"17191936\"]\n  3 -> 10 [size =\"17191936\"]\n  4 [size=\"34179072\", alpha=\"0.11\", expect_size=\"17089536\"] \n  4 -> 7 [size =\"17089536\"]\n  4 -> 8 [size =\"17089536\"]\n  4 -> 10 [size =\"17089536\"]\n  4 -> 11 [size =\"17089536\"]\n  5 [size=\"56778752\", alpha=\"0.18\", expect_size=\"28389376\"] \n  5 -> 7 [size =\"28389376\"]\n  5 -> 8 [size =\"28389376\"]\n  5 -> 9 [size =\"28389376\"]\n  5 -> 10 [size =\"28389376\"]\n  6 [size=\"38864896\", alpha=\"0.06\", expect_size=\"19432448\"] \n  6 -> 8 [size =\"19432448\"]\n  6 -> 9 [size =\"19432448\"]\n  6 -> 11 [size =\"19432448\"]\n  7 [size=\"13297664\", alpha=\"0.08\", expect_size=\"6648832\"] \n  7 -> 12 [size =\"6648832\"]\n  7 -> 13 [size =\"6648832\"]\n  8 [size=\"93554688\", alpha=\"0.17\", expect_size=\"46777344\"] \n  8 -> 12 [size =\"46777344\"]\n  8 -> 14 [size =\"46777344\"]\n  8 -> 15 [size =\"46777344\"]\n  9 [size=\"39976960\", alpha=\"0.03\", expect_size=\"19988480\"] \n  9 -> 12 [size =\"19988480\"]\n  9 -> 15 [size =\"19988480\"]\n  10 [size=\"84393984\", alpha=\"0.04\", expect_size=\"42196992\"] \n  10 -> 14 [size =\"42196992\"]\n  10 -> 15 [size =\"42196992\"]\n  11 [size=\"13557760\", alpha=\"0.05\", expect_size=\"6778880\"] \n  12 [size=\"77568000\", alpha=\"0.09\", expect_size=\"38784000\"] \n  13 [size=\"70180864\", alpha=\"0.01\", expect_size=\"35090432\"] \n  14 [size=\"67041280\", alpha=\"0.05\", expect_size=\"33520640\"] \n  15 [size=\"25931776\", alpha=\"0.14\", expect_size=\"12965888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115548160\", alpha=\"0.19\", expect_size=\"46219264\"] \n  1 -> 2 [size =\"46219264\"]\n  1 -> 3 [size =\"46219264\"]\n  2 [size=\"104360960\", alpha=\"0.14\", expect_size=\"41744384\"] \n  2 -> 5 [size =\"41744384\"]\n  3 [size=\"43174400\", alpha=\"0.15\", expect_size=\"17269760\"] \n  3 -> 4 [size =\"17269760\"]\n  3 -> 5 [size =\"17269760\"]\n  4 [size=\"100564480\", alpha=\"0.17\", expect_size=\"40225792\"] \n  4 -> 6 [size =\"40225792\"]\n  5 [size=\"61734400\", alpha=\"0.06\", expect_size=\"24693760\"] \n  5 -> 7 [size =\"24693760\"]\n  6 [size=\"53329920\", alpha=\"0.04\", expect_size=\"21331968\"] \n  6 -> 8 [size =\"21331968\"]\n  7 [size=\"61911040\", alpha=\"0.15\", expect_size=\"24764416\"] \n  7 -> 8 [size =\"24764416\"]\n  8 [size=\"94428160\", alpha=\"0.07\", expect_size=\"37771264\"] \n  8 -> 9 [size =\"37771264\"]\n  8 -> 10 [size =\"37771264\"]\n  9 [size=\"67896320\", alpha=\"0.13\", expect_size=\"27158528\"] \n  9 -> 12 [size =\"27158528\"]\n  10 [size=\"46484480\", alpha=\"0.16\", expect_size=\"18593792\"] \n  10 -> 11 [size =\"18593792\"]\n  10 -> 12 [size =\"18593792\"]\n  11 [size=\"126333440\", alpha=\"0.03\", expect_size=\"50533376\"] \n  12 [size=\"118502400\", alpha=\"0.20\", expect_size=\"47400960\"] \n  12 -> 13 [size =\"47400960\"]\n  13 [size=\"85419520\", alpha=\"0.14\", expect_size=\"34167808\"] \n  13 -> 14 [size =\"34167808\"]\n  13 -> 15 [size =\"34167808\"]\n  14 [size=\"56184320\", alpha=\"0.20\", expect_size=\"22473728\"] \n  15 [size=\"40578560\", alpha=\"0.13\", expect_size=\"16231424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120501760\", alpha=\"0.19\", expect_size=\"48200704\"] \n  1 -> 2 [size =\"48200704\"]\n  2 [size=\"35243520\", alpha=\"0.09\", expect_size=\"14097408\"] \n  2 -> 3 [size =\"14097408\"]\n  3 [size=\"88435200\", alpha=\"0.13\", expect_size=\"35374080\"] \n  3 -> 4 [size =\"35374080\"]\n  4 [size=\"53150720\", alpha=\"0.05\", expect_size=\"21260288\"] \n  4 -> 5 [size =\"21260288\"]\n  5 [size=\"96053760\", alpha=\"0.16\", expect_size=\"38421504\"] \n  5 -> 6 [size =\"38421504\"]\n  6 [size=\"73779200\", alpha=\"0.03\", expect_size=\"29511680\"] \n  6 -> 7 [size =\"29511680\"]\n  7 [size=\"56550400\", alpha=\"0.02\", expect_size=\"22620160\"] \n  7 -> 8 [size =\"22620160\"]\n  8 [size=\"70594560\", alpha=\"0.08\", expect_size=\"28237824\"] \n  8 -> 9 [size =\"28237824\"]\n  9 [size=\"15352320\", alpha=\"0.09\", expect_size=\"6140928\"] \n  9 -> 10 [size =\"6140928\"]\n  10 [size=\"108474880\", alpha=\"0.06\", expect_size=\"43389952\"] \n  10 -> 11 [size =\"43389952\"]\n  11 [size=\"54960640\", alpha=\"0.02\", expect_size=\"21984256\"] \n  11 -> 12 [size =\"21984256\"]\n  12 [size=\"46868480\", alpha=\"0.14\", expect_size=\"18747392\"] \n  12 -> 13 [size =\"18747392\"]\n  13 [size=\"99356160\", alpha=\"0.04\", expect_size=\"39742464\"] \n  13 -> 14 [size =\"39742464\"]\n  14 [size=\"59166720\", alpha=\"0.17\", expect_size=\"23666688\"] \n  14 -> 15 [size =\"23666688\"]\n  15 [size=\"90716160\", alpha=\"0.01\", expect_size=\"36286464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105745920\", alpha=\"0.03\", expect_size=\"42298368\"] \n  1 -> 4 [size =\"42298368\"]\n  2 [size=\"24832000\", alpha=\"0.02\", expect_size=\"9932800\"] \n  2 -> 4 [size =\"9932800\"]\n  2 -> 6 [size =\"9932800\"]\n  3 [size=\"56166400\", alpha=\"0.01\", expect_size=\"22466560\"] \n  3 -> 5 [size =\"22466560\"]\n  3 -> 6 [size =\"22466560\"]\n  4 [size=\"53122560\", alpha=\"0.19\", expect_size=\"21249024\"] \n  5 [size=\"23198720\", alpha=\"0.12\", expect_size=\"9279488\"] \n  5 -> 7 [size =\"9279488\"]\n  6 [size=\"102848000\", alpha=\"0.18\", expect_size=\"41139200\"] \n  6 -> 8 [size =\"41139200\"]\n  7 [size=\"50263040\", alpha=\"0.04\", expect_size=\"20105216\"] \n  7 -> 9 [size =\"20105216\"]\n  7 -> 10 [size =\"20105216\"]\n  8 [size=\"85486080\", alpha=\"0.09\", expect_size=\"34194432\"] \n  9 [size=\"44889600\", alpha=\"0.02\", expect_size=\"17955840\"] \n  9 -> 11 [size =\"17955840\"]\n  9 -> 12 [size =\"17955840\"]\n  9 -> 13 [size =\"17955840\"]\n  10 [size=\"99568640\", alpha=\"0.19\", expect_size=\"39827456\"] \n  11 [size=\"48343040\", alpha=\"0.07\", expect_size=\"19337216\"] \n  12 [size=\"65884160\", alpha=\"0.19\", expect_size=\"26353664\"] \n  12 -> 14 [size =\"26353664\"]\n  13 [size=\"80081920\", alpha=\"0.18\", expect_size=\"32032768\"] \n  13 -> 15 [size =\"32032768\"]\n  14 [size=\"84577280\", alpha=\"0.01\", expect_size=\"33830912\"] \n  15 [size=\"81049600\", alpha=\"0.00\", expect_size=\"32419840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57059840\", alpha=\"0.03\", expect_size=\"22823936\"] \n  1 -> 11 [size =\"22823936\"]\n  1 -> 14 [size =\"22823936\"]\n  2 [size=\"99161600\", alpha=\"0.15\", expect_size=\"39664640\"] \n  2 -> 11 [size =\"39664640\"]\n  2 -> 12 [size =\"39664640\"]\n  2 -> 15 [size =\"39664640\"]\n  3 [size=\"20956160\", alpha=\"0.03\", expect_size=\"8382464\"] \n  3 -> 12 [size =\"8382464\"]\n  4 [size=\"84769280\", alpha=\"0.02\", expect_size=\"33907712\"] \n  5 [size=\"14804480\", alpha=\"0.04\", expect_size=\"5921792\"] \n  5 -> 13 [size =\"5921792\"]\n  6 [size=\"44290560\", alpha=\"0.08\", expect_size=\"17716224\"] \n  6 -> 13 [size =\"17716224\"]\n  7 [size=\"50874880\", alpha=\"0.20\", expect_size=\"20349952\"] \n  7 -> 11 [size =\"20349952\"]\n  7 -> 13 [size =\"20349952\"]\n  8 [size=\"16693760\", alpha=\"0.12\", expect_size=\"6677504\"] \n  8 -> 11 [size =\"6677504\"]\n  8 -> 13 [size =\"6677504\"]\n  8 -> 14 [size =\"6677504\"]\n  9 [size=\"111508480\", alpha=\"0.03\", expect_size=\"44603392\"] \n  9 -> 13 [size =\"44603392\"]\n  9 -> 13 [size =\"44603392\"]\n  10 [size=\"58818560\", alpha=\"0.06\", expect_size=\"23527424\"] \n  10 -> 11 [size =\"23527424\"]\n  10 -> 13 [size =\"23527424\"]\n  10 -> 15 [size =\"23527424\"]\n  11 [size=\"48645120\", alpha=\"0.02\", expect_size=\"19458048\"] \n  12 [size=\"63429120\", alpha=\"0.09\", expect_size=\"25371648\"] \n  13 [size=\"35845120\", alpha=\"0.16\", expect_size=\"14338048\"] \n  14 [size=\"51883520\", alpha=\"0.07\", expect_size=\"20753408\"] \n  15 [size=\"63582720\", alpha=\"0.02\", expect_size=\"25433088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117030400\", alpha=\"0.17\", expect_size=\"46812160\"] \n  1 -> 12 [size =\"46812160\"]\n  2 [size=\"92254720\", alpha=\"0.02\", expect_size=\"36901888\"] \n  2 -> 8 [size =\"36901888\"]\n  2 -> 11 [size =\"36901888\"]\n  2 -> 12 [size =\"36901888\"]\n  2 -> 13 [size =\"36901888\"]\n  3 [size=\"45427200\", alpha=\"0.18\", expect_size=\"18170880\"] \n  3 -> 8 [size =\"18170880\"]\n  3 -> 9 [size =\"18170880\"]\n  3 -> 10 [size =\"18170880\"]\n  3 -> 11 [size =\"18170880\"]\n  3 -> 14 [size =\"18170880\"]\n  4 [size=\"21657600\", alpha=\"0.19\", expect_size=\"8663040\"] \n  4 -> 8 [size =\"8663040\"]\n  4 -> 11 [size =\"8663040\"]\n  5 [size=\"14650880\", alpha=\"0.02\", expect_size=\"5860352\"] \n  6 [size=\"28234240\", alpha=\"0.04\", expect_size=\"11293696\"] \n  6 -> 13 [size =\"11293696\"]\n  7 [size=\"35717120\", alpha=\"0.08\", expect_size=\"14286848\"] \n  7 -> 9 [size =\"14286848\"]\n  7 -> 10 [size =\"14286848\"]\n  7 -> 13 [size =\"14286848\"]\n  8 [size=\"89664000\", alpha=\"0.18\", expect_size=\"35865600\"] \n  8 -> 15 [size =\"35865600\"]\n  9 [size=\"92730880\", alpha=\"0.09\", expect_size=\"37092352\"] \n  10 [size=\"36129280\", alpha=\"0.09\", expect_size=\"14451712\"] \n  10 -> 15 [size =\"14451712\"]\n  11 [size=\"22520320\", alpha=\"0.15\", expect_size=\"9008128\"] \n  11 -> 15 [size =\"9008128\"]\n  12 [size=\"120709120\", alpha=\"0.09\", expect_size=\"48283648\"] \n  12 -> 15 [size =\"48283648\"]\n  13 [size=\"13678080\", alpha=\"0.13\", expect_size=\"5471232\"] \n  14 [size=\"121694720\", alpha=\"0.00\", expect_size=\"48677888\"] \n  15 [size=\"118282240\", alpha=\"0.13\", expect_size=\"47312896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130165760\", alpha=\"0.13\", expect_size=\"52066304\"] \n  1 -> 9 [size =\"52066304\"]\n  1 -> 10 [size =\"52066304\"]\n  1 -> 11 [size =\"52066304\"]\n  2 [size=\"45762560\", alpha=\"0.07\", expect_size=\"18305024\"] \n  2 -> 9 [size =\"18305024\"]\n  2 -> 10 [size =\"18305024\"]\n  3 [size=\"37532160\", alpha=\"0.14\", expect_size=\"15012864\"] \n  3 -> 15 [size =\"15012864\"]\n  4 [size=\"41835520\", alpha=\"0.19\", expect_size=\"16734208\"] \n  4 -> 15 [size =\"16734208\"]\n  5 [size=\"67281920\", alpha=\"0.00\", expect_size=\"26912768\"] \n  5 -> 10 [size =\"26912768\"]\n  5 -> 13 [size =\"26912768\"]\n  5 -> 15 [size =\"26912768\"]\n  6 [size=\"86123520\", alpha=\"0.01\", expect_size=\"34449408\"] \n  6 -> 12 [size =\"34449408\"]\n  7 [size=\"111354880\", alpha=\"0.09\", expect_size=\"44541952\"] \n  7 -> 10 [size =\"44541952\"]\n  7 -> 12 [size =\"44541952\"]\n  7 -> 13 [size =\"44541952\"]\n  7 -> 14 [size =\"44541952\"]\n  8 [size=\"88153600\", alpha=\"0.09\", expect_size=\"35261440\"] \n  9 [size=\"49989120\", alpha=\"0.16\", expect_size=\"19995648\"] \n  10 [size=\"83558400\", alpha=\"0.19\", expect_size=\"33423360\"] \n  11 [size=\"60976640\", alpha=\"0.10\", expect_size=\"24390656\"] \n  12 [size=\"21760000\", alpha=\"0.18\", expect_size=\"8704000\"] \n  13 [size=\"61419520\", alpha=\"0.17\", expect_size=\"24567808\"] \n  14 [size=\"26984960\", alpha=\"0.05\", expect_size=\"10793984\"] \n  15 [size=\"23283200\", alpha=\"0.13\", expect_size=\"9313280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76300800\", alpha=\"0.12\", expect_size=\"30520320\"] \n  1 -> 6 [size =\"30520320\"]\n  1 -> 9 [size =\"30520320\"]\n  1 -> 10 [size =\"30520320\"]\n  1 -> 11 [size =\"30520320\"]\n  2 [size=\"63393280\", alpha=\"0.02\", expect_size=\"25357312\"] \n  2 -> 6 [size =\"25357312\"]\n  2 -> 11 [size =\"25357312\"]\n  3 [size=\"39879680\", alpha=\"0.04\", expect_size=\"15951872\"] \n  3 -> 8 [size =\"15951872\"]\n  3 -> 9 [size =\"15951872\"]\n  3 -> 10 [size =\"15951872\"]\n  3 -> 11 [size =\"15951872\"]\n  4 [size=\"80578560\", alpha=\"0.17\", expect_size=\"32231424\"] \n  4 -> 6 [size =\"32231424\"]\n  4 -> 8 [size =\"32231424\"]\n  4 -> 10 [size =\"32231424\"]\n  5 [size=\"56035840\", alpha=\"0.18\", expect_size=\"22414336\"] \n  5 -> 6 [size =\"22414336\"]\n  5 -> 7 [size =\"22414336\"]\n  5 -> 8 [size =\"22414336\"]\n  5 -> 10 [size =\"22414336\"]\n  6 [size=\"118062080\", alpha=\"0.18\", expect_size=\"47224832\"] \n  6 -> 12 [size =\"47224832\"]\n  6 -> 13 [size =\"47224832\"]\n  7 [size=\"52047360\", alpha=\"0.11\", expect_size=\"20818944\"] \n  8 [size=\"62051840\", alpha=\"0.19\", expect_size=\"24820736\"] \n  8 -> 13 [size =\"24820736\"]\n  9 [size=\"13639680\", alpha=\"0.03\", expect_size=\"5455872\"] \n  9 -> 14 [size =\"5455872\"]\n  10 [size=\"57021440\", alpha=\"0.05\", expect_size=\"22808576\"] \n  11 [size=\"17451520\", alpha=\"0.10\", expect_size=\"6980608\"] \n  11 -> 12 [size =\"6980608\"]\n  12 [size=\"90411520\", alpha=\"0.16\", expect_size=\"36164608\"] \n  13 [size=\"104148480\", alpha=\"0.07\", expect_size=\"41659392\"] \n  13 -> 15 [size =\"41659392\"]\n  14 [size=\"125598720\", alpha=\"0.16\", expect_size=\"50239488\"] \n  15 [size=\"108631040\", alpha=\"0.09\", expect_size=\"43452416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49397760\", alpha=\"0.18\", expect_size=\"14819328\"] \n  1 -> 13 [size =\"14819328\"]\n  1 -> 15 [size =\"14819328\"]\n  2 [size=\"42676907\", alpha=\"0.00\", expect_size=\"12803072\"] \n  2 -> 12 [size =\"12803072\"]\n  2 -> 13 [size =\"12803072\"]\n  3 [size=\"84981760\", alpha=\"0.15\", expect_size=\"25494528\"] \n  4 [size=\"157678933\", alpha=\"0.14\", expect_size=\"47303680\"] \n  4 -> 15 [size =\"47303680\"]\n  5 [size=\"163133440\", alpha=\"0.05\", expect_size=\"48940032\"] \n  5 -> 13 [size =\"48940032\"]\n  6 [size=\"45243733\", alpha=\"0.14\", expect_size=\"13573120\"] \n  7 [size=\"115459413\", alpha=\"0.15\", expect_size=\"34637824\"] \n  7 -> 14 [size =\"34637824\"]\n  8 [size=\"36584107\", alpha=\"0.18\", expect_size=\"10975232\"] \n  8 -> 13 [size =\"10975232\"]\n  8 -> 15 [size =\"10975232\"]\n  9 [size=\"41495893\", alpha=\"0.04\", expect_size=\"12448768\"] \n  9 -> 12 [size =\"12448768\"]\n  9 -> 13 [size =\"12448768\"]\n  9 -> 14 [size =\"12448768\"]\n  10 [size=\"73117013\", alpha=\"0.16\", expect_size=\"21935104\"] \n  10 -> 13 [size =\"21935104\"]\n  10 -> 13 [size =\"21935104\"]\n  10 -> 15 [size =\"21935104\"]\n  11 [size=\"145633280\", alpha=\"0.02\", expect_size=\"43689984\"] \n  11 -> 13 [size =\"43689984\"]\n  11 -> 15 [size =\"43689984\"]\n  11 -> 15 [size =\"43689984\"]\n  12 [size=\"130508800\", alpha=\"0.19\", expect_size=\"39152640\"] \n  13 [size=\"133096107\", alpha=\"0.14\", expect_size=\"39928832\"] \n  14 [size=\"93166933\", alpha=\"0.04\", expect_size=\"27950080\"] \n  15 [size=\"42188800\", alpha=\"0.20\", expect_size=\"12656640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49341440\", alpha=\"0.15\", expect_size=\"19736576\"] \n  1 -> 12 [size =\"19736576\"]\n  1 -> 15 [size =\"19736576\"]\n  2 [size=\"83947520\", alpha=\"0.12\", expect_size=\"33579008\"] \n  2 -> 14 [size =\"33579008\"]\n  3 [size=\"17648640\", alpha=\"0.05\", expect_size=\"7059456\"] \n  4 [size=\"97228800\", alpha=\"0.15\", expect_size=\"38891520\"] \n  4 -> 12 [size =\"38891520\"]\n  4 -> 13 [size =\"38891520\"]\n  5 [size=\"120061440\", alpha=\"0.02\", expect_size=\"48024576\"] \n  5 -> 12 [size =\"48024576\"]\n  5 -> 15 [size =\"48024576\"]\n  6 [size=\"95897600\", alpha=\"0.11\", expect_size=\"38359040\"] \n  6 -> 12 [size =\"38359040\"]\n  6 -> 15 [size =\"38359040\"]\n  7 [size=\"103185920\", alpha=\"0.03\", expect_size=\"41274368\"] \n  7 -> 13 [size =\"41274368\"]\n  8 [size=\"114391040\", alpha=\"0.17\", expect_size=\"45756416\"] \n  8 -> 12 [size =\"45756416\"]\n  9 [size=\"79848960\", alpha=\"0.07\", expect_size=\"31939584\"] \n  9 -> 12 [size =\"31939584\"]\n  10 [size=\"127923200\", alpha=\"0.03\", expect_size=\"51169280\"] \n  10 -> 12 [size =\"51169280\"]\n  10 -> 14 [size =\"51169280\"]\n  11 [size=\"102579200\", alpha=\"0.02\", expect_size=\"41031680\"] \n  11 -> 14 [size =\"41031680\"]\n  12 [size=\"75376640\", alpha=\"0.03\", expect_size=\"30150656\"] \n  13 [size=\"28600320\", alpha=\"0.03\", expect_size=\"11440128\"] \n  14 [size=\"59430400\", alpha=\"0.08\", expect_size=\"23772160\"] \n  15 [size=\"32888320\", alpha=\"0.02\", expect_size=\"13155328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23098880\", alpha=\"0.11\", expect_size=\"9239552\"] \n  1 -> 8 [size =\"9239552\"]\n  1 -> 9 [size =\"9239552\"]\n  1 -> 10 [size =\"9239552\"]\n  1 -> 12 [size =\"9239552\"]\n  2 [size=\"46645760\", alpha=\"0.13\", expect_size=\"18658304\"] \n  2 -> 9 [size =\"18658304\"]\n  2 -> 10 [size =\"18658304\"]\n  3 [size=\"86768640\", alpha=\"0.01\", expect_size=\"34707456\"] \n  3 -> 9 [size =\"34707456\"]\n  3 -> 11 [size =\"34707456\"]\n  4 [size=\"23720960\", alpha=\"0.08\", expect_size=\"9488384\"] \n  4 -> 7 [size =\"9488384\"]\n  4 -> 8 [size =\"9488384\"]\n  5 [size=\"26626560\", alpha=\"0.05\", expect_size=\"10650624\"] \n  5 -> 7 [size =\"10650624\"]\n  5 -> 10 [size =\"10650624\"]\n  5 -> 11 [size =\"10650624\"]\n  6 [size=\"79971840\", alpha=\"0.18\", expect_size=\"31988736\"] \n  6 -> 8 [size =\"31988736\"]\n  6 -> 10 [size =\"31988736\"]\n  6 -> 11 [size =\"31988736\"]\n  7 [size=\"100590080\", alpha=\"0.12\", expect_size=\"40236032\"] \n  7 -> 14 [size =\"40236032\"]\n  8 [size=\"66644480\", alpha=\"0.10\", expect_size=\"26657792\"] \n  8 -> 14 [size =\"26657792\"]\n  9 [size=\"88614400\", alpha=\"0.02\", expect_size=\"35445760\"] \n  10 [size=\"115340800\", alpha=\"0.14\", expect_size=\"46136320\"] \n  11 [size=\"104957440\", alpha=\"0.07\", expect_size=\"41982976\"] \n  12 [size=\"50864640\", alpha=\"0.11\", expect_size=\"20345856\"] \n  12 -> 13 [size =\"20345856\"]\n  12 -> 15 [size =\"20345856\"]\n  13 [size=\"127362560\", alpha=\"0.06\", expect_size=\"50945024\"] \n  14 [size=\"13588480\", alpha=\"0.04\", expect_size=\"5435392\"] \n  15 [size=\"59361280\", alpha=\"0.13\", expect_size=\"23744512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75107840\", alpha=\"0.05\", expect_size=\"30043136\"] \n  1 -> 2 [size =\"30043136\"]\n  2 [size=\"124403200\", alpha=\"0.11\", expect_size=\"49761280\"] \n  2 -> 3 [size =\"49761280\"]\n  3 [size=\"53038080\", alpha=\"0.17\", expect_size=\"21215232\"] \n  3 -> 4 [size =\"21215232\"]\n  4 [size=\"119196160\", alpha=\"0.18\", expect_size=\"47678464\"] \n  4 -> 5 [size =\"47678464\"]\n  5 [size=\"73838080\", alpha=\"0.14\", expect_size=\"29535232\"] \n  5 -> 6 [size =\"29535232\"]\n  6 [size=\"22466560\", alpha=\"0.03\", expect_size=\"8986624\"] \n  6 -> 7 [size =\"8986624\"]\n  7 [size=\"24064000\", alpha=\"0.03\", expect_size=\"9625600\"] \n  7 -> 8 [size =\"9625600\"]\n  8 [size=\"80527360\", alpha=\"0.18\", expect_size=\"32210944\"] \n  8 -> 9 [size =\"32210944\"]\n  9 [size=\"51527680\", alpha=\"0.14\", expect_size=\"20611072\"] \n  9 -> 10 [size =\"20611072\"]\n  10 [size=\"34186240\", alpha=\"0.14\", expect_size=\"13674496\"] \n  10 -> 11 [size =\"13674496\"]\n  11 [size=\"77094400\", alpha=\"0.20\", expect_size=\"30837760\"] \n  11 -> 12 [size =\"30837760\"]\n  12 [size=\"106291200\", alpha=\"0.13\", expect_size=\"42516480\"] \n  12 -> 13 [size =\"42516480\"]\n  13 [size=\"51934720\", alpha=\"0.02\", expect_size=\"20773888\"] \n  13 -> 14 [size =\"20773888\"]\n  14 [size=\"31447040\", alpha=\"0.06\", expect_size=\"12578816\"] \n  14 -> 15 [size =\"12578816\"]\n  15 [size=\"17832960\", alpha=\"0.00\", expect_size=\"7133184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101486080\", alpha=\"0.19\", expect_size=\"40594432\"] \n  1 -> 2 [size =\"40594432\"]\n  2 [size=\"94853120\", alpha=\"0.12\", expect_size=\"37941248\"] \n  2 -> 3 [size =\"37941248\"]\n  3 [size=\"44843520\", alpha=\"0.02\", expect_size=\"17937408\"] \n  3 -> 4 [size =\"17937408\"]\n  3 -> 5 [size =\"17937408\"]\n  4 [size=\"71915520\", alpha=\"0.01\", expect_size=\"28766208\"] \n  4 -> 6 [size =\"28766208\"]\n  4 -> 7 [size =\"28766208\"]\n  5 [size=\"73489920\", alpha=\"0.14\", expect_size=\"29395968\"] \n  5 -> 6 [size =\"29395968\"]\n  5 -> 7 [size =\"29395968\"]\n  6 [size=\"26122240\", alpha=\"0.10\", expect_size=\"10448896\"] \n  6 -> 8 [size =\"10448896\"]\n  7 [size=\"115875840\", alpha=\"0.13\", expect_size=\"46350336\"] \n  8 [size=\"47511040\", alpha=\"0.08\", expect_size=\"19004416\"] \n  8 -> 9 [size =\"19004416\"]\n  9 [size=\"122890240\", alpha=\"0.13\", expect_size=\"49156096\"] \n  9 -> 10 [size =\"49156096\"]\n  10 [size=\"31472640\", alpha=\"0.14\", expect_size=\"12589056\"] \n  10 -> 11 [size =\"12589056\"]\n  10 -> 12 [size =\"12589056\"]\n  11 [size=\"15682560\", alpha=\"0.15\", expect_size=\"6273024\"] \n  11 -> 13 [size =\"6273024\"]\n  12 [size=\"127365120\", alpha=\"0.19\", expect_size=\"50946048\"] \n  13 [size=\"77504000\", alpha=\"0.01\", expect_size=\"31001600\"] \n  13 -> 14 [size =\"31001600\"]\n  13 -> 15 [size =\"31001600\"]\n  14 [size=\"87959040\", alpha=\"0.01\", expect_size=\"35183616\"] \n  15 [size=\"94865920\", alpha=\"0.07\", expect_size=\"37946368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53366784\", alpha=\"0.03\", expect_size=\"26683392\"] \n  1 -> 2 [size =\"26683392\"]\n  2 [size=\"27918336\", alpha=\"0.17\", expect_size=\"13959168\"] \n  2 -> 3 [size =\"13959168\"]\n  3 [size=\"99248128\", alpha=\"0.15\", expect_size=\"49624064\"] \n  3 -> 4 [size =\"49624064\"]\n  3 -> 5 [size =\"49624064\"]\n  4 [size=\"41134080\", alpha=\"0.14\", expect_size=\"20567040\"] \n  4 -> 7 [size =\"20567040\"]\n  5 [size=\"52078592\", alpha=\"0.01\", expect_size=\"26039296\"] \n  5 -> 6 [size =\"26039296\"]\n  5 -> 7 [size =\"26039296\"]\n  6 [size=\"43608064\", alpha=\"0.16\", expect_size=\"21804032\"] \n  6 -> 8 [size =\"21804032\"]\n  6 -> 9 [size =\"21804032\"]\n  7 [size=\"95107072\", alpha=\"0.06\", expect_size=\"47553536\"] \n  7 -> 8 [size =\"47553536\"]\n  7 -> 9 [size =\"47553536\"]\n  8 [size=\"86011904\", alpha=\"0.12\", expect_size=\"43005952\"] \n  8 -> 10 [size =\"43005952\"]\n  8 -> 11 [size =\"43005952\"]\n  9 [size=\"97003520\", alpha=\"0.09\", expect_size=\"48501760\"] \n  9 -> 10 [size =\"48501760\"]\n  10 [size=\"89217024\", alpha=\"0.06\", expect_size=\"44608512\"] \n  10 -> 12 [size =\"44608512\"]\n  10 -> 13 [size =\"44608512\"]\n  11 [size=\"76177408\", alpha=\"0.12\", expect_size=\"38088704\"] \n  11 -> 12 [size =\"38088704\"]\n  11 -> 13 [size =\"38088704\"]\n  12 [size=\"92497920\", alpha=\"0.14\", expect_size=\"46248960\"] \n  12 -> 14 [size =\"46248960\"]\n  12 -> 15 [size =\"46248960\"]\n  13 [size=\"77623296\", alpha=\"0.17\", expect_size=\"38811648\"] \n  13 -> 14 [size =\"38811648\"]\n  13 -> 15 [size =\"38811648\"]\n  14 [size=\"55988224\", alpha=\"0.07\", expect_size=\"27994112\"] \n  15 [size=\"25575424\", alpha=\"0.03\", expect_size=\"12787712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116449280\", alpha=\"0.16\", expect_size=\"46579712\"] \n  1 -> 2 [size =\"46579712\"]\n  2 [size=\"99315200\", alpha=\"0.07\", expect_size=\"39726080\"] \n  2 -> 3 [size =\"39726080\"]\n  3 [size=\"21701120\", alpha=\"0.07\", expect_size=\"8680448\"] \n  3 -> 4 [size =\"8680448\"]\n  4 [size=\"112040960\", alpha=\"0.05\", expect_size=\"44816384\"] \n  4 -> 5 [size =\"44816384\"]\n  5 [size=\"51087360\", alpha=\"0.20\", expect_size=\"20434944\"] \n  5 -> 6 [size =\"20434944\"]\n  6 [size=\"80765440\", alpha=\"0.02\", expect_size=\"32306176\"] \n  6 -> 7 [size =\"32306176\"]\n  7 [size=\"107891200\", alpha=\"0.16\", expect_size=\"43156480\"] \n  7 -> 8 [size =\"43156480\"]\n  8 [size=\"33446400\", alpha=\"0.06\", expect_size=\"13378560\"] \n  8 -> 9 [size =\"13378560\"]\n  9 [size=\"90603520\", alpha=\"0.03\", expect_size=\"36241408\"] \n  9 -> 10 [size =\"36241408\"]\n  10 [size=\"32880640\", alpha=\"0.16\", expect_size=\"13152256\"] \n  10 -> 11 [size =\"13152256\"]\n  11 [size=\"73251840\", alpha=\"0.07\", expect_size=\"29300736\"] \n  11 -> 12 [size =\"29300736\"]\n  12 [size=\"51909120\", alpha=\"0.14\", expect_size=\"20763648\"] \n  12 -> 13 [size =\"20763648\"]\n  13 [size=\"92725760\", alpha=\"0.09\", expect_size=\"37090304\"] \n  13 -> 14 [size =\"37090304\"]\n  14 [size=\"13872640\", alpha=\"0.12\", expect_size=\"5549056\"] \n  14 -> 15 [size =\"5549056\"]\n  15 [size=\"43176960\", alpha=\"0.05\", expect_size=\"17270784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88427520\", alpha=\"0.06\", expect_size=\"35371008\"] \n  1 -> 8 [size =\"35371008\"]\n  1 -> 10 [size =\"35371008\"]\n  1 -> 11 [size =\"35371008\"]\n  1 -> 12 [size =\"35371008\"]\n  1 -> 13 [size =\"35371008\"]\n  2 [size=\"32448000\", alpha=\"0.02\", expect_size=\"12979200\"] \n  2 -> 10 [size =\"12979200\"]\n  2 -> 12 [size =\"12979200\"]\n  2 -> 13 [size =\"12979200\"]\n  2 -> 14 [size =\"12979200\"]\n  3 [size=\"47505920\", alpha=\"0.16\", expect_size=\"19002368\"] \n  3 -> 10 [size =\"19002368\"]\n  3 -> 12 [size =\"19002368\"]\n  4 [size=\"47111680\", alpha=\"0.16\", expect_size=\"18844672\"] \n  4 -> 13 [size =\"18844672\"]\n  5 [size=\"104788480\", alpha=\"0.17\", expect_size=\"41915392\"] \n  5 -> 10 [size =\"41915392\"]\n  5 -> 12 [size =\"41915392\"]\n  5 -> 13 [size =\"41915392\"]\n  5 -> 14 [size =\"41915392\"]\n  6 [size=\"24391680\", alpha=\"0.19\", expect_size=\"9756672\"] \n  6 -> 8 [size =\"9756672\"]\n  6 -> 9 [size =\"9756672\"]\n  6 -> 12 [size =\"9756672\"]\n  6 -> 13 [size =\"9756672\"]\n  6 -> 14 [size =\"9756672\"]\n  7 [size=\"31464960\", alpha=\"0.11\", expect_size=\"12585984\"] \n  7 -> 8 [size =\"12585984\"]\n  7 -> 10 [size =\"12585984\"]\n  7 -> 13 [size =\"12585984\"]\n  7 -> 13 [size =\"12585984\"]\n  8 [size=\"44641280\", alpha=\"0.13\", expect_size=\"17856512\"] \n  9 [size=\"92922880\", alpha=\"0.12\", expect_size=\"37169152\"] \n  9 -> 15 [size =\"37169152\"]\n  10 [size=\"44055040\", alpha=\"0.10\", expect_size=\"17622016\"] \n  11 [size=\"23656960\", alpha=\"0.02\", expect_size=\"9462784\"] \n  11 -> 15 [size =\"9462784\"]\n  12 [size=\"59159040\", alpha=\"0.13\", expect_size=\"23663616\"] \n  12 -> 15 [size =\"23663616\"]\n  13 [size=\"69086720\", alpha=\"0.10\", expect_size=\"27634688\"] \n  13 -> 15 [size =\"27634688\"]\n  14 [size=\"47984640\", alpha=\"0.15\", expect_size=\"19193856\"] \n  14 -> 15 [size =\"19193856\"]\n  15 [size=\"25541120\", alpha=\"0.13\", expect_size=\"10216448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129112747\", alpha=\"0.07\", expect_size=\"38733824\"] \n  1 -> 2 [size =\"38733824\"]\n  2 [size=\"174428160\", alpha=\"0.03\", expect_size=\"52328448\"] \n  2 -> 3 [size =\"52328448\"]\n  3 [size=\"61941760\", alpha=\"0.16\", expect_size=\"18582528\"] \n  3 -> 4 [size =\"18582528\"]\n  4 [size=\"56541867\", alpha=\"0.11\", expect_size=\"16962560\"] \n  4 -> 5 [size =\"16962560\"]\n  5 [size=\"32136533\", alpha=\"0.05\", expect_size=\"9640960\"] \n  5 -> 6 [size =\"9640960\"]\n  6 [size=\"99932160\", alpha=\"0.19\", expect_size=\"29979648\"] \n  6 -> 7 [size =\"29979648\"]\n  7 [size=\"168697173\", alpha=\"0.19\", expect_size=\"50609152\"] \n  7 -> 8 [size =\"50609152\"]\n  8 [size=\"50445653\", alpha=\"0.12\", expect_size=\"15133696\"] \n  8 -> 9 [size =\"15133696\"]\n  9 [size=\"160795307\", alpha=\"0.19\", expect_size=\"48238592\"] \n  9 -> 10 [size =\"48238592\"]\n  10 [size=\"27470507\", alpha=\"0.07\", expect_size=\"8241152\"] \n  10 -> 11 [size =\"8241152\"]\n  11 [size=\"74905600\", alpha=\"0.12\", expect_size=\"22471680\"] \n  11 -> 12 [size =\"22471680\"]\n  12 [size=\"132741120\", alpha=\"0.02\", expect_size=\"39822336\"] \n  12 -> 13 [size =\"39822336\"]\n  13 [size=\"152459947\", alpha=\"0.13\", expect_size=\"45737984\"] \n  13 -> 14 [size =\"45737984\"]\n  14 [size=\"121644373\", alpha=\"0.04\", expect_size=\"36493312\"] \n  14 -> 15 [size =\"36493312\"]\n  15 [size=\"54534827\", alpha=\"0.14\", expect_size=\"16360448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17845760\", alpha=\"0.17\", expect_size=\"7138304\"] \n  1 -> 15 [size =\"7138304\"]\n  2 [size=\"35192320\", alpha=\"0.15\", expect_size=\"14076928\"] \n  2 -> 15 [size =\"14076928\"]\n  3 [size=\"108625920\", alpha=\"0.08\", expect_size=\"43450368\"] \n  3 -> 15 [size =\"43450368\"]\n  4 [size=\"127897600\", alpha=\"0.20\", expect_size=\"51159040\"] \n  5 [size=\"46315520\", alpha=\"0.12\", expect_size=\"18526208\"] \n  5 -> 12 [size =\"18526208\"]\n  6 [size=\"118417920\", alpha=\"0.16\", expect_size=\"47367168\"] \n  6 -> 15 [size =\"47367168\"]\n  7 [size=\"44538880\", alpha=\"0.09\", expect_size=\"17815552\"] \n  7 -> 12 [size =\"17815552\"]\n  7 -> 15 [size =\"17815552\"]\n  8 [size=\"18124800\", alpha=\"0.11\", expect_size=\"7249920\"] \n  8 -> 15 [size =\"7249920\"]\n  9 [size=\"70789120\", alpha=\"0.13\", expect_size=\"28315648\"] \n  9 -> 12 [size =\"28315648\"]\n  9 -> 14 [size =\"28315648\"]\n  9 -> 15 [size =\"28315648\"]\n  10 [size=\"113559040\", alpha=\"0.09\", expect_size=\"45423616\"] \n  10 -> 12 [size =\"45423616\"]\n  10 -> 14 [size =\"45423616\"]\n  10 -> 15 [size =\"45423616\"]\n  11 [size=\"62348800\", alpha=\"0.08\", expect_size=\"24939520\"] \n  11 -> 12 [size =\"24939520\"]\n  11 -> 13 [size =\"24939520\"]\n  11 -> 15 [size =\"24939520\"]\n  12 [size=\"43852800\", alpha=\"0.10\", expect_size=\"17541120\"] \n  13 [size=\"130071040\", alpha=\"0.13\", expect_size=\"52028416\"] \n  14 [size=\"58186240\", alpha=\"0.11\", expect_size=\"23274496\"] \n  15 [size=\"57735680\", alpha=\"0.03\", expect_size=\"23094272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104727893\", alpha=\"0.09\", expect_size=\"31418368\"] \n  1 -> 2 [size =\"31418368\"]\n  2 [size=\"61330773\", alpha=\"0.19\", expect_size=\"18399232\"] \n  2 -> 3 [size =\"18399232\"]\n  3 [size=\"19005440\", alpha=\"0.16\", expect_size=\"5701632\"] \n  3 -> 4 [size =\"5701632\"]\n  4 [size=\"124327253\", alpha=\"0.09\", expect_size=\"37298176\"] \n  4 -> 5 [size =\"37298176\"]\n  5 [size=\"157593600\", alpha=\"0.00\", expect_size=\"47278080\"] \n  5 -> 6 [size =\"47278080\"]\n  6 [size=\"97331200\", alpha=\"0.18\", expect_size=\"29199360\"] \n  6 -> 7 [size =\"29199360\"]\n  7 [size=\"121282560\", alpha=\"0.12\", expect_size=\"36384768\"] \n  7 -> 8 [size =\"36384768\"]\n  8 [size=\"142834347\", alpha=\"0.19\", expect_size=\"42850304\"] \n  8 -> 9 [size =\"42850304\"]\n  9 [size=\"131887787\", alpha=\"0.17\", expect_size=\"39566336\"] \n  9 -> 10 [size =\"39566336\"]\n  10 [size=\"23108267\", alpha=\"0.20\", expect_size=\"6932480\"] \n  10 -> 11 [size =\"6932480\"]\n  11 [size=\"66884267\", alpha=\"0.19\", expect_size=\"20065280\"] \n  11 -> 12 [size =\"20065280\"]\n  12 [size=\"135669760\", alpha=\"0.12\", expect_size=\"40700928\"] \n  12 -> 13 [size =\"40700928\"]\n  13 [size=\"124665173\", alpha=\"0.10\", expect_size=\"37399552\"] \n  13 -> 14 [size =\"37399552\"]\n  14 [size=\"94286507\", alpha=\"0.10\", expect_size=\"28285952\"] \n  14 -> 15 [size =\"28285952\"]\n  15 [size=\"162600960\", alpha=\"0.07\", expect_size=\"48780288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127336960\", alpha=\"0.09\", expect_size=\"50934784\"] \n  1 -> 2 [size =\"50934784\"]\n  2 [size=\"31782400\", alpha=\"0.01\", expect_size=\"12712960\"] \n  2 -> 3 [size =\"12712960\"]\n  3 [size=\"85017600\", alpha=\"0.01\", expect_size=\"34007040\"] \n  3 -> 4 [size =\"34007040\"]\n  4 [size=\"28195840\", alpha=\"0.07\", expect_size=\"11278336\"] \n  4 -> 5 [size =\"11278336\"]\n  5 [size=\"44802560\", alpha=\"0.02\", expect_size=\"17921024\"] \n  5 -> 6 [size =\"17921024\"]\n  6 [size=\"98452480\", alpha=\"0.17\", expect_size=\"39380992\"] \n  6 -> 7 [size =\"39380992\"]\n  7 [size=\"69404160\", alpha=\"0.08\", expect_size=\"27761664\"] \n  7 -> 8 [size =\"27761664\"]\n  8 [size=\"78138880\", alpha=\"0.17\", expect_size=\"31255552\"] \n  8 -> 9 [size =\"31255552\"]\n  9 [size=\"23388160\", alpha=\"0.05\", expect_size=\"9355264\"] \n  9 -> 10 [size =\"9355264\"]\n  10 [size=\"97187840\", alpha=\"0.09\", expect_size=\"38875136\"] \n  10 -> 11 [size =\"38875136\"]\n  11 [size=\"127116800\", alpha=\"0.17\", expect_size=\"50846720\"] \n  11 -> 12 [size =\"50846720\"]\n  12 [size=\"63016960\", alpha=\"0.16\", expect_size=\"25206784\"] \n  12 -> 13 [size =\"25206784\"]\n  13 [size=\"70548480\", alpha=\"0.11\", expect_size=\"28219392\"] \n  13 -> 14 [size =\"28219392\"]\n  14 [size=\"74831360\", alpha=\"0.10\", expect_size=\"29932544\"] \n  14 -> 15 [size =\"29932544\"]\n  15 [size=\"114810880\", alpha=\"0.01\", expect_size=\"45924352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72400213\", alpha=\"0.10\", expect_size=\"21720064\"] \n  1 -> 6 [size =\"21720064\"]\n  1 -> 7 [size =\"21720064\"]\n  2 [size=\"62375253\", alpha=\"0.13\", expect_size=\"18712576\"] \n  2 -> 7 [size =\"18712576\"]\n  2 -> 8 [size =\"18712576\"]\n  3 [size=\"119965013\", alpha=\"0.09\", expect_size=\"35989504\"] \n  3 -> 7 [size =\"35989504\"]\n  3 -> 9 [size =\"35989504\"]\n  4 [size=\"145971200\", alpha=\"0.05\", expect_size=\"43791360\"] \n  4 -> 6 [size =\"43791360\"]\n  5 [size=\"79114240\", alpha=\"0.20\", expect_size=\"23734272\"] \n  5 -> 6 [size =\"23734272\"]\n  6 [size=\"103949653\", alpha=\"0.14\", expect_size=\"31184896\"] \n  6 -> 14 [size =\"31184896\"]\n  7 [size=\"131345067\", alpha=\"0.16\", expect_size=\"39403520\"] \n  7 -> 10 [size =\"39403520\"]\n  7 -> 12 [size =\"39403520\"]\n  7 -> 13 [size =\"39403520\"]\n  7 -> 15 [size =\"39403520\"]\n  8 [size=\"110902613\", alpha=\"0.05\", expect_size=\"33270784\"] \n  8 -> 11 [size =\"33270784\"]\n  8 -> 12 [size =\"33270784\"]\n  8 -> 15 [size =\"33270784\"]\n  9 [size=\"122501120\", alpha=\"0.15\", expect_size=\"36750336\"] \n  9 -> 10 [size =\"36750336\"]\n  9 -> 13 [size =\"36750336\"]\n  10 [size=\"90603520\", alpha=\"0.16\", expect_size=\"27181056\"] \n  11 [size=\"68676267\", alpha=\"0.15\", expect_size=\"20602880\"] \n  12 [size=\"150080853\", alpha=\"0.15\", expect_size=\"45024256\"] \n  13 [size=\"94890667\", alpha=\"0.04\", expect_size=\"28467200\"] \n  14 [size=\"166007467\", alpha=\"0.11\", expect_size=\"49802240\"] \n  15 [size=\"46516907\", alpha=\"0.05\", expect_size=\"13955072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101957632\", alpha=\"0.12\", expect_size=\"50978816\"] \n  1 -> 3 [size =\"50978816\"]\n  2 [size=\"96690176\", alpha=\"0.06\", expect_size=\"48345088\"] \n  2 -> 4 [size =\"48345088\"]\n  3 [size=\"18065408\", alpha=\"0.09\", expect_size=\"9032704\"] \n  3 -> 5 [size =\"9032704\"]\n  4 [size=\"19113984\", alpha=\"0.06\", expect_size=\"9556992\"] \n  4 -> 6 [size =\"9556992\"]\n  5 [size=\"66756608\", alpha=\"0.01\", expect_size=\"33378304\"] \n  5 -> 7 [size =\"33378304\"]\n  5 -> 8 [size =\"33378304\"]\n  6 [size=\"45289472\", alpha=\"0.11\", expect_size=\"22644736\"] \n  6 -> 8 [size =\"22644736\"]\n  7 [size=\"95490048\", alpha=\"0.14\", expect_size=\"47745024\"] \n  8 [size=\"65593344\", alpha=\"0.13\", expect_size=\"32796672\"] \n  8 -> 9 [size =\"32796672\"]\n  9 [size=\"64141312\", alpha=\"0.02\", expect_size=\"32070656\"] \n  9 -> 10 [size =\"32070656\"]\n  10 [size=\"64319488\", alpha=\"0.07\", expect_size=\"32159744\"] \n  10 -> 11 [size =\"32159744\"]\n  11 [size=\"93992960\", alpha=\"0.13\", expect_size=\"46996480\"] \n  11 -> 12 [size =\"46996480\"]\n  11 -> 13 [size =\"46996480\"]\n  12 [size=\"57382912\", alpha=\"0.07\", expect_size=\"28691456\"] \n  12 -> 14 [size =\"28691456\"]\n  13 [size=\"85934080\", alpha=\"0.17\", expect_size=\"42967040\"] \n  14 [size=\"31811584\", alpha=\"0.15\", expect_size=\"15905792\"] \n  14 -> 15 [size =\"15905792\"]\n  15 [size=\"62150656\", alpha=\"0.15\", expect_size=\"31075328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39989760\", alpha=\"0.17\", expect_size=\"15995904\"] \n  1 -> 3 [size =\"15995904\"]\n  1 -> 4 [size =\"15995904\"]\n  2 [size=\"129733120\", alpha=\"0.02\", expect_size=\"51893248\"] \n  3 [size=\"121712640\", alpha=\"0.04\", expect_size=\"48685056\"] \n  3 -> 5 [size =\"48685056\"]\n  3 -> 6 [size =\"48685056\"]\n  3 -> 7 [size =\"48685056\"]\n  4 [size=\"99118080\", alpha=\"0.01\", expect_size=\"39647232\"] \n  5 [size=\"110059520\", alpha=\"0.00\", expect_size=\"44023808\"] \n  5 -> 8 [size =\"44023808\"]\n  5 -> 9 [size =\"44023808\"]\n  6 [size=\"124085760\", alpha=\"0.05\", expect_size=\"49634304\"] \n  6 -> 8 [size =\"49634304\"]\n  6 -> 9 [size =\"49634304\"]\n  7 [size=\"73640960\", alpha=\"0.02\", expect_size=\"29456384\"] \n  8 [size=\"125363200\", alpha=\"0.10\", expect_size=\"50145280\"] \n  8 -> 10 [size =\"50145280\"]\n  8 -> 12 [size =\"50145280\"]\n  9 [size=\"64092160\", alpha=\"0.14\", expect_size=\"25636864\"] \n  9 -> 11 [size =\"25636864\"]\n  10 [size=\"13685760\", alpha=\"0.08\", expect_size=\"5474304\"] \n  10 -> 14 [size =\"5474304\"]\n  11 [size=\"120171520\", alpha=\"0.02\", expect_size=\"48068608\"] \n  11 -> 13 [size =\"48068608\"]\n  12 [size=\"105226240\", alpha=\"0.12\", expect_size=\"42090496\"] \n  12 -> 14 [size =\"42090496\"]\n  12 -> 15 [size =\"42090496\"]\n  13 [size=\"117301760\", alpha=\"0.12\", expect_size=\"46920704\"] \n  14 [size=\"24076800\", alpha=\"0.11\", expect_size=\"9630720\"] \n  15 [size=\"29946880\", alpha=\"0.19\", expect_size=\"11978752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66818048\", alpha=\"0.06\", expect_size=\"33409024\"] \n  1 -> 2 [size =\"33409024\"]\n  2 [size=\"12244992\", alpha=\"0.03\", expect_size=\"6122496\"] \n  2 -> 3 [size =\"6122496\"]\n  3 [size=\"23179264\", alpha=\"0.05\", expect_size=\"11589632\"] \n  3 -> 4 [size =\"11589632\"]\n  4 [size=\"35571712\", alpha=\"0.01\", expect_size=\"17785856\"] \n  4 -> 5 [size =\"17785856\"]\n  5 [size=\"29675520\", alpha=\"0.01\", expect_size=\"14837760\"] \n  5 -> 6 [size =\"14837760\"]\n  6 [size=\"72998912\", alpha=\"0.16\", expect_size=\"36499456\"] \n  6 -> 7 [size =\"36499456\"]\n  7 [size=\"24590336\", alpha=\"0.06\", expect_size=\"12295168\"] \n  7 -> 8 [size =\"12295168\"]\n  8 [size=\"43778048\", alpha=\"0.02\", expect_size=\"21889024\"] \n  8 -> 9 [size =\"21889024\"]\n  9 [size=\"81584128\", alpha=\"0.10\", expect_size=\"40792064\"] \n  9 -> 10 [size =\"40792064\"]\n  10 [size=\"42250240\", alpha=\"0.01\", expect_size=\"21125120\"] \n  10 -> 11 [size =\"21125120\"]\n  11 [size=\"12828672\", alpha=\"0.00\", expect_size=\"6414336\"] \n  11 -> 12 [size =\"6414336\"]\n  12 [size=\"42258432\", alpha=\"0.09\", expect_size=\"21129216\"] \n  12 -> 13 [size =\"21129216\"]\n  13 [size=\"57364480\", alpha=\"0.08\", expect_size=\"28682240\"] \n  13 -> 14 [size =\"28682240\"]\n  14 [size=\"83214336\", alpha=\"0.12\", expect_size=\"41607168\"] \n  14 -> 15 [size =\"41607168\"]\n  15 [size=\"88225792\", alpha=\"0.07\", expect_size=\"44112896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29872640\", alpha=\"0.11\", expect_size=\"11949056\"] \n  1 -> 2 [size =\"11949056\"]\n  2 [size=\"36784640\", alpha=\"0.13\", expect_size=\"14713856\"] \n  2 -> 3 [size =\"14713856\"]\n  3 [size=\"76802560\", alpha=\"0.10\", expect_size=\"30721024\"] \n  3 -> 4 [size =\"30721024\"]\n  4 [size=\"67486720\", alpha=\"0.10\", expect_size=\"26994688\"] \n  4 -> 5 [size =\"26994688\"]\n  5 [size=\"110863360\", alpha=\"0.03\", expect_size=\"44345344\"] \n  5 -> 6 [size =\"44345344\"]\n  6 [size=\"30474240\", alpha=\"0.13\", expect_size=\"12189696\"] \n  6 -> 7 [size =\"12189696\"]\n  7 [size=\"110000640\", alpha=\"0.04\", expect_size=\"44000256\"] \n  7 -> 8 [size =\"44000256\"]\n  8 [size=\"91097600\", alpha=\"0.09\", expect_size=\"36439040\"] \n  8 -> 9 [size =\"36439040\"]\n  9 [size=\"88596480\", alpha=\"0.20\", expect_size=\"35438592\"] \n  9 -> 10 [size =\"35438592\"]\n  10 [size=\"20131840\", alpha=\"0.12\", expect_size=\"8052736\"] \n  10 -> 11 [size =\"8052736\"]\n  11 [size=\"41978880\", alpha=\"0.08\", expect_size=\"16791552\"] \n  11 -> 12 [size =\"16791552\"]\n  12 [size=\"109117440\", alpha=\"0.13\", expect_size=\"43646976\"] \n  12 -> 13 [size =\"43646976\"]\n  13 [size=\"66739200\", alpha=\"0.01\", expect_size=\"26695680\"] \n  13 -> 14 [size =\"26695680\"]\n  14 [size=\"126046720\", alpha=\"0.07\", expect_size=\"50418688\"] \n  14 -> 15 [size =\"50418688\"]\n  15 [size=\"68695040\", alpha=\"0.02\", expect_size=\"27478016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79137280\", alpha=\"0.12\", expect_size=\"31654912\"] \n  1 -> 2 [size =\"31654912\"]\n  2 [size=\"82135040\", alpha=\"0.16\", expect_size=\"32854016\"] \n  2 -> 3 [size =\"32854016\"]\n  3 [size=\"30320640\", alpha=\"0.05\", expect_size=\"12128256\"] \n  3 -> 4 [size =\"12128256\"]\n  4 [size=\"121280000\", alpha=\"0.18\", expect_size=\"48512000\"] \n  4 -> 5 [size =\"48512000\"]\n  5 [size=\"97515520\", alpha=\"0.05\", expect_size=\"39006208\"] \n  5 -> 6 [size =\"39006208\"]\n  6 [size=\"57208320\", alpha=\"0.12\", expect_size=\"22883328\"] \n  6 -> 7 [size =\"22883328\"]\n  7 [size=\"89973760\", alpha=\"0.00\", expect_size=\"35989504\"] \n  7 -> 8 [size =\"35989504\"]\n  8 [size=\"63928320\", alpha=\"0.07\", expect_size=\"25571328\"] \n  8 -> 9 [size =\"25571328\"]\n  9 [size=\"74193920\", alpha=\"0.18\", expect_size=\"29677568\"] \n  9 -> 10 [size =\"29677568\"]\n  10 [size=\"43520000\", alpha=\"0.02\", expect_size=\"17408000\"] \n  10 -> 11 [size =\"17408000\"]\n  11 [size=\"62881280\", alpha=\"0.15\", expect_size=\"25152512\"] \n  11 -> 12 [size =\"25152512\"]\n  12 [size=\"14791680\", alpha=\"0.16\", expect_size=\"5916672\"] \n  12 -> 13 [size =\"5916672\"]\n  13 [size=\"106685440\", alpha=\"0.03\", expect_size=\"42674176\"] \n  13 -> 14 [size =\"42674176\"]\n  14 [size=\"16686080\", alpha=\"0.17\", expect_size=\"6674432\"] \n  14 -> 15 [size =\"6674432\"]\n  15 [size=\"125657600\", alpha=\"0.16\", expect_size=\"50263040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77803520\", alpha=\"0.15\", expect_size=\"31121408\"] \n  1 -> 7 [size =\"31121408\"]\n  1 -> 10 [size =\"31121408\"]\n  1 -> 11 [size =\"31121408\"]\n  2 [size=\"59553280\", alpha=\"0.14\", expect_size=\"23821312\"] \n  2 -> 7 [size =\"23821312\"]\n  2 -> 11 [size =\"23821312\"]\n  2 -> 11 [size =\"23821312\"]\n  2 -> 13 [size =\"23821312\"]\n  3 [size=\"130639360\", alpha=\"0.01\", expect_size=\"52255744\"] \n  3 -> 7 [size =\"52255744\"]\n  3 -> 10 [size =\"52255744\"]\n  3 -> 13 [size =\"52255744\"]\n  4 [size=\"110796800\", alpha=\"0.03\", expect_size=\"44318720\"] \n  4 -> 7 [size =\"44318720\"]\n  4 -> 8 [size =\"44318720\"]\n  4 -> 9 [size =\"44318720\"]\n  5 [size=\"70492160\", alpha=\"0.03\", expect_size=\"28196864\"] \n  5 -> 8 [size =\"28196864\"]\n  5 -> 9 [size =\"28196864\"]\n  5 -> 12 [size =\"28196864\"]\n  6 [size=\"69831680\", alpha=\"0.19\", expect_size=\"27932672\"] \n  6 -> 8 [size =\"27932672\"]\n  6 -> 9 [size =\"27932672\"]\n  6 -> 12 [size =\"27932672\"]\n  7 [size=\"103454720\", alpha=\"0.10\", expect_size=\"41381888\"] \n  7 -> 14 [size =\"41381888\"]\n  8 [size=\"118146560\", alpha=\"0.07\", expect_size=\"47258624\"] \n  8 -> 14 [size =\"47258624\"]\n  8 -> 15 [size =\"47258624\"]\n  9 [size=\"27752960\", alpha=\"0.08\", expect_size=\"11101184\"] \n  9 -> 15 [size =\"11101184\"]\n  10 [size=\"28160000\", alpha=\"0.01\", expect_size=\"11264000\"] \n  11 [size=\"73930240\", alpha=\"0.07\", expect_size=\"29572096\"] \n  11 -> 14 [size =\"29572096\"]\n  12 [size=\"41715200\", alpha=\"0.16\", expect_size=\"16686080\"] \n  12 -> 15 [size =\"16686080\"]\n  13 [size=\"124925440\", alpha=\"0.17\", expect_size=\"49970176\"] \n  14 [size=\"15534080\", alpha=\"0.14\", expect_size=\"6213632\"] \n  15 [size=\"34186240\", alpha=\"0.05\", expect_size=\"13674496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118830080\", alpha=\"0.13\", expect_size=\"47532032\"] \n  1 -> 2 [size =\"47532032\"]\n  2 [size=\"55101440\", alpha=\"0.01\", expect_size=\"22040576\"] \n  2 -> 3 [size =\"22040576\"]\n  3 [size=\"55674880\", alpha=\"0.14\", expect_size=\"22269952\"] \n  3 -> 4 [size =\"22269952\"]\n  4 [size=\"52444160\", alpha=\"0.15\", expect_size=\"20977664\"] \n  4 -> 5 [size =\"20977664\"]\n  5 [size=\"71590400\", alpha=\"0.00\", expect_size=\"28636160\"] \n  5 -> 6 [size =\"28636160\"]\n  6 [size=\"111769600\", alpha=\"0.10\", expect_size=\"44707840\"] \n  6 -> 7 [size =\"44707840\"]\n  7 [size=\"51438080\", alpha=\"0.13\", expect_size=\"20575232\"] \n  7 -> 8 [size =\"20575232\"]\n  8 [size=\"129638400\", alpha=\"0.04\", expect_size=\"51855360\"] \n  8 -> 9 [size =\"51855360\"]\n  9 [size=\"107176960\", alpha=\"0.15\", expect_size=\"42870784\"] \n  9 -> 10 [size =\"42870784\"]\n  10 [size=\"35033600\", alpha=\"0.14\", expect_size=\"14013440\"] \n  10 -> 11 [size =\"14013440\"]\n  11 [size=\"50572800\", alpha=\"0.01\", expect_size=\"20229120\"] \n  11 -> 12 [size =\"20229120\"]\n  12 [size=\"127360000\", alpha=\"0.15\", expect_size=\"50944000\"] \n  12 -> 13 [size =\"50944000\"]\n  13 [size=\"17692160\", alpha=\"0.08\", expect_size=\"7076864\"] \n  13 -> 14 [size =\"7076864\"]\n  14 [size=\"103078400\", alpha=\"0.01\", expect_size=\"41231360\"] \n  14 -> 15 [size =\"41231360\"]\n  15 [size=\"75417600\", alpha=\"0.17\", expect_size=\"30167040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111623680\", alpha=\"0.18\", expect_size=\"44649472\"] \n  1 -> 5 [size =\"44649472\"]\n  2 [size=\"52257280\", alpha=\"0.04\", expect_size=\"20902912\"] \n  3 [size=\"122767360\", alpha=\"0.12\", expect_size=\"49106944\"] \n  3 -> 5 [size =\"49106944\"]\n  3 -> 6 [size =\"49106944\"]\n  4 [size=\"109895680\", alpha=\"0.14\", expect_size=\"43958272\"] \n  4 -> 5 [size =\"43958272\"]\n  5 [size=\"42411520\", alpha=\"0.14\", expect_size=\"16964608\"] \n  5 -> 7 [size =\"16964608\"]\n  5 -> 8 [size =\"16964608\"]\n  6 [size=\"128291840\", alpha=\"0.09\", expect_size=\"51316736\"] \n  6 -> 7 [size =\"51316736\"]\n  6 -> 8 [size =\"51316736\"]\n  6 -> 9 [size =\"51316736\"]\n  7 [size=\"107599360\", alpha=\"0.14\", expect_size=\"43039744\"] \n  8 [size=\"59880960\", alpha=\"0.13\", expect_size=\"23952384\"] \n  8 -> 10 [size =\"23952384\"]\n  8 -> 11 [size =\"23952384\"]\n  9 [size=\"81487360\", alpha=\"0.19\", expect_size=\"32594944\"] \n  9 -> 10 [size =\"32594944\"]\n  9 -> 11 [size =\"32594944\"]\n  10 [size=\"33761280\", alpha=\"0.10\", expect_size=\"13504512\"] \n  10 -> 12 [size =\"13504512\"]\n  10 -> 13 [size =\"13504512\"]\n  10 -> 14 [size =\"13504512\"]\n  11 [size=\"46300160\", alpha=\"0.02\", expect_size=\"18520064\"] \n  11 -> 12 [size =\"18520064\"]\n  12 [size=\"37155840\", alpha=\"0.04\", expect_size=\"14862336\"] \n  12 -> 15 [size =\"14862336\"]\n  13 [size=\"62435840\", alpha=\"0.04\", expect_size=\"24974336\"] \n  13 -> 15 [size =\"24974336\"]\n  14 [size=\"17274880\", alpha=\"0.20\", expect_size=\"6909952\"] \n  15 [size=\"97717760\", alpha=\"0.10\", expect_size=\"39087104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60919808\", alpha=\"0.13\", expect_size=\"30459904\"] \n  1 -> 2 [size =\"30459904\"]\n  2 [size=\"66756608\", alpha=\"0.02\", expect_size=\"33378304\"] \n  2 -> 3 [size =\"33378304\"]\n  3 [size=\"77103104\", alpha=\"0.07\", expect_size=\"38551552\"] \n  3 -> 4 [size =\"38551552\"]\n  4 [size=\"44214272\", alpha=\"0.09\", expect_size=\"22107136\"] \n  4 -> 5 [size =\"22107136\"]\n  5 [size=\"77092864\", alpha=\"0.12\", expect_size=\"38546432\"] \n  5 -> 6 [size =\"38546432\"]\n  5 -> 7 [size =\"38546432\"]\n  6 [size=\"20105216\", alpha=\"0.04\", expect_size=\"10052608\"] \n  6 -> 9 [size =\"10052608\"]\n  7 [size=\"34400256\", alpha=\"0.08\", expect_size=\"17200128\"] \n  7 -> 8 [size =\"17200128\"]\n  7 -> 9 [size =\"17200128\"]\n  8 [size=\"48803840\", alpha=\"0.17\", expect_size=\"24401920\"] \n  8 -> 10 [size =\"24401920\"]\n  9 [size=\"85680128\", alpha=\"0.08\", expect_size=\"42840064\"] \n  10 [size=\"12085248\", alpha=\"0.08\", expect_size=\"6042624\"] \n  10 -> 11 [size =\"6042624\"]\n  10 -> 12 [size =\"6042624\"]\n  11 [size=\"68478976\", alpha=\"0.13\", expect_size=\"34239488\"] \n  11 -> 14 [size =\"34239488\"]\n  12 [size=\"33921024\", alpha=\"0.18\", expect_size=\"16960512\"] \n  12 -> 13 [size =\"16960512\"]\n  12 -> 14 [size =\"16960512\"]\n  13 [size=\"45080576\", alpha=\"0.10\", expect_size=\"22540288\"] \n  13 -> 15 [size =\"22540288\"]\n  14 [size=\"78362624\", alpha=\"0.02\", expect_size=\"39181312\"] \n  14 -> 15 [size =\"39181312\"]\n  15 [size=\"24696832\", alpha=\"0.07\", expect_size=\"12348416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30840320\", alpha=\"0.15\", expect_size=\"12336128\"] \n  1 -> 2 [size =\"12336128\"]\n  2 [size=\"14400000\", alpha=\"0.20\", expect_size=\"5760000\"] \n  2 -> 3 [size =\"5760000\"]\n  3 [size=\"34465280\", alpha=\"0.09\", expect_size=\"13786112\"] \n  3 -> 4 [size =\"13786112\"]\n  4 [size=\"37265920\", alpha=\"0.00\", expect_size=\"14906368\"] \n  4 -> 5 [size =\"14906368\"]\n  5 [size=\"32122880\", alpha=\"0.08\", expect_size=\"12849152\"] \n  5 -> 6 [size =\"12849152\"]\n  6 [size=\"15851520\", alpha=\"0.07\", expect_size=\"6340608\"] \n  6 -> 7 [size =\"6340608\"]\n  7 [size=\"51507200\", alpha=\"0.02\", expect_size=\"20602880\"] \n  7 -> 8 [size =\"20602880\"]\n  8 [size=\"108759040\", alpha=\"0.08\", expect_size=\"43503616\"] \n  8 -> 9 [size =\"43503616\"]\n  9 [size=\"125230080\", alpha=\"0.11\", expect_size=\"50092032\"] \n  9 -> 10 [size =\"50092032\"]\n  10 [size=\"108300800\", alpha=\"0.15\", expect_size=\"43320320\"] \n  10 -> 11 [size =\"43320320\"]\n  11 [size=\"117450240\", alpha=\"0.05\", expect_size=\"46980096\"] \n  11 -> 12 [size =\"46980096\"]\n  12 [size=\"85864960\", alpha=\"0.08\", expect_size=\"34345984\"] \n  12 -> 13 [size =\"34345984\"]\n  13 [size=\"85816320\", alpha=\"0.05\", expect_size=\"34326528\"] \n  13 -> 14 [size =\"34326528\"]\n  14 [size=\"20349440\", alpha=\"0.05\", expect_size=\"8139776\"] \n  14 -> 15 [size =\"8139776\"]\n  15 [size=\"22453760\", alpha=\"0.13\", expect_size=\"8981504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65419264\", alpha=\"0.15\", expect_size=\"32709632\"] \n  1 -> 2 [size =\"32709632\"]\n  2 [size=\"96581632\", alpha=\"0.13\", expect_size=\"48290816\"] \n  2 -> 3 [size =\"48290816\"]\n  3 [size=\"39479296\", alpha=\"0.04\", expect_size=\"19739648\"] \n  3 -> 4 [size =\"19739648\"]\n  4 [size=\"27936768\", alpha=\"0.09\", expect_size=\"13968384\"] \n  4 -> 5 [size =\"13968384\"]\n  5 [size=\"64923648\", alpha=\"0.00\", expect_size=\"32461824\"] \n  5 -> 6 [size =\"32461824\"]\n  6 [size=\"84496384\", alpha=\"0.07\", expect_size=\"42248192\"] \n  6 -> 7 [size =\"42248192\"]\n  7 [size=\"29052928\", alpha=\"0.19\", expect_size=\"14526464\"] \n  7 -> 8 [size =\"14526464\"]\n  8 [size=\"22702080\", alpha=\"0.07\", expect_size=\"11351040\"] \n  8 -> 9 [size =\"11351040\"]\n  9 [size=\"94171136\", alpha=\"0.00\", expect_size=\"47085568\"] \n  9 -> 10 [size =\"47085568\"]\n  10 [size=\"17547264\", alpha=\"0.07\", expect_size=\"8773632\"] \n  10 -> 11 [size =\"8773632\"]\n  11 [size=\"71327744\", alpha=\"0.04\", expect_size=\"35663872\"] \n  11 -> 12 [size =\"35663872\"]\n  12 [size=\"49758208\", alpha=\"0.14\", expect_size=\"24879104\"] \n  12 -> 13 [size =\"24879104\"]\n  13 [size=\"17371136\", alpha=\"0.09\", expect_size=\"8685568\"] \n  13 -> 14 [size =\"8685568\"]\n  14 [size=\"36431872\", alpha=\"0.09\", expect_size=\"18215936\"] \n  14 -> 15 [size =\"18215936\"]\n  15 [size=\"79343616\", alpha=\"0.01\", expect_size=\"39671808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95443627\", alpha=\"0.00\", expect_size=\"28633088\"] \n  1 -> 4 [size =\"28633088\"]\n  1 -> 5 [size =\"28633088\"]\n  2 [size=\"42721280\", alpha=\"0.13\", expect_size=\"12816384\"] \n  2 -> 3 [size =\"12816384\"]\n  2 -> 4 [size =\"12816384\"]\n  2 -> 5 [size =\"12816384\"]\n  3 [size=\"88490667\", alpha=\"0.00\", expect_size=\"26547200\"] \n  3 -> 7 [size =\"26547200\"]\n  4 [size=\"51452587\", alpha=\"0.16\", expect_size=\"15435776\"] \n  4 -> 7 [size =\"15435776\"]\n  5 [size=\"69867520\", alpha=\"0.18\", expect_size=\"20960256\"] \n  5 -> 6 [size =\"20960256\"]\n  6 [size=\"42496000\", alpha=\"0.03\", expect_size=\"12748800\"] \n  6 -> 8 [size =\"12748800\"]\n  6 -> 9 [size =\"12748800\"]\n  7 [size=\"169007787\", alpha=\"0.09\", expect_size=\"50702336\"] \n  7 -> 8 [size =\"50702336\"]\n  7 -> 9 [size =\"50702336\"]\n  8 [size=\"58692267\", alpha=\"0.00\", expect_size=\"17607680\"] \n  8 -> 11 [size =\"17607680\"]\n  9 [size=\"114206720\", alpha=\"0.01\", expect_size=\"34262016\"] \n  9 -> 10 [size =\"34262016\"]\n  10 [size=\"18165760\", alpha=\"0.18\", expect_size=\"5449728\"] \n  10 -> 12 [size =\"5449728\"]\n  10 -> 13 [size =\"5449728\"]\n  10 -> 14 [size =\"5449728\"]\n  11 [size=\"53626880\", alpha=\"0.16\", expect_size=\"16088064\"] \n  11 -> 13 [size =\"16088064\"]\n  11 -> 14 [size =\"16088064\"]\n  12 [size=\"55463253\", alpha=\"0.16\", expect_size=\"16638976\"] \n  13 [size=\"156579840\", alpha=\"0.07\", expect_size=\"46973952\"] \n  13 -> 15 [size =\"46973952\"]\n  14 [size=\"156712960\", alpha=\"0.13\", expect_size=\"47013888\"] \n  14 -> 15 [size =\"47013888\"]\n  15 [size=\"124999680\", alpha=\"0.09\", expect_size=\"37499904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99555328\", alpha=\"0.09\", expect_size=\"49777664\"] \n  2 [size=\"27146240\", alpha=\"0.07\", expect_size=\"13573120\"] \n  2 -> 4 [size =\"13573120\"]\n  2 -> 5 [size =\"13573120\"]\n  3 [size=\"52008960\", alpha=\"0.01\", expect_size=\"26004480\"] \n  3 -> 4 [size =\"26004480\"]\n  4 [size=\"96679936\", alpha=\"0.16\", expect_size=\"48339968\"] \n  4 -> 8 [size =\"48339968\"]\n  5 [size=\"74328064\", alpha=\"0.19\", expect_size=\"37164032\"] \n  5 -> 6 [size =\"37164032\"]\n  5 -> 7 [size =\"37164032\"]\n  6 [size=\"11784192\", alpha=\"0.03\", expect_size=\"5892096\"] \n  6 -> 10 [size =\"5892096\"]\n  7 [size=\"19054592\", alpha=\"0.06\", expect_size=\"9527296\"] \n  7 -> 9 [size =\"9527296\"]\n  8 [size=\"90112000\", alpha=\"0.15\", expect_size=\"45056000\"] \n  8 -> 9 [size =\"45056000\"]\n  8 -> 11 [size =\"45056000\"]\n  9 [size=\"32198656\", alpha=\"0.04\", expect_size=\"16099328\"] \n  9 -> 13 [size =\"16099328\"]\n  10 [size=\"90628096\", alpha=\"0.02\", expect_size=\"45314048\"] \n  10 -> 14 [size =\"45314048\"]\n  11 [size=\"72816640\", alpha=\"0.13\", expect_size=\"36408320\"] \n  11 -> 12 [size =\"36408320\"]\n  12 [size=\"23146496\", alpha=\"0.17\", expect_size=\"11573248\"] \n  13 [size=\"54196224\", alpha=\"0.18\", expect_size=\"27098112\"] \n  14 [size=\"56877056\", alpha=\"0.09\", expect_size=\"28438528\"] \n  14 -> 15 [size =\"28438528\"]\n  15 [size=\"39815168\", alpha=\"0.02\", expect_size=\"19907584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98539520\", alpha=\"0.07\", expect_size=\"29561856\"] \n  1 -> 2 [size =\"29561856\"]\n  2 [size=\"81025707\", alpha=\"0.16\", expect_size=\"24307712\"] \n  2 -> 3 [size =\"24307712\"]\n  3 [size=\"55483733\", alpha=\"0.10\", expect_size=\"16645120\"] \n  3 -> 4 [size =\"16645120\"]\n  4 [size=\"52602880\", alpha=\"0.19\", expect_size=\"15780864\"] \n  4 -> 5 [size =\"15780864\"]\n  5 [size=\"31986347\", alpha=\"0.03\", expect_size=\"9595904\"] \n  5 -> 6 [size =\"9595904\"]\n  6 [size=\"79107413\", alpha=\"0.15\", expect_size=\"23732224\"] \n  6 -> 7 [size =\"23732224\"]\n  7 [size=\"172182187\", alpha=\"0.02\", expect_size=\"51654656\"] \n  7 -> 8 [size =\"51654656\"]\n  8 [size=\"37597867\", alpha=\"0.11\", expect_size=\"11279360\"] \n  8 -> 9 [size =\"11279360\"]\n  9 [size=\"117968213\", alpha=\"0.19\", expect_size=\"35390464\"] \n  9 -> 10 [size =\"35390464\"]\n  10 [size=\"103246507\", alpha=\"0.02\", expect_size=\"30973952\"] \n  10 -> 11 [size =\"30973952\"]\n  11 [size=\"130133333\", alpha=\"0.18\", expect_size=\"39040000\"] \n  11 -> 12 [size =\"39040000\"]\n  12 [size=\"26327040\", alpha=\"0.03\", expect_size=\"7898112\"] \n  12 -> 13 [size =\"7898112\"]\n  13 [size=\"152886613\", alpha=\"0.01\", expect_size=\"45865984\"] \n  13 -> 14 [size =\"45865984\"]\n  14 [size=\"76803413\", alpha=\"0.04\", expect_size=\"23041024\"] \n  14 -> 15 [size =\"23041024\"]\n  15 [size=\"72584533\", alpha=\"0.02\", expect_size=\"21775360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112286720\", alpha=\"0.07\", expect_size=\"44914688\"] \n  1 -> 2 [size =\"44914688\"]\n  2 [size=\"80704000\", alpha=\"0.12\", expect_size=\"32281600\"] \n  2 -> 3 [size =\"32281600\"]\n  3 [size=\"28994560\", alpha=\"0.09\", expect_size=\"11597824\"] \n  3 -> 4 [size =\"11597824\"]\n  4 [size=\"79802880\", alpha=\"0.04\", expect_size=\"31921152\"] \n  4 -> 5 [size =\"31921152\"]\n  5 [size=\"43038720\", alpha=\"0.08\", expect_size=\"17215488\"] \n  5 -> 6 [size =\"17215488\"]\n  6 [size=\"129359360\", alpha=\"0.04\", expect_size=\"51743744\"] \n  6 -> 7 [size =\"51743744\"]\n  7 [size=\"38499840\", alpha=\"0.19\", expect_size=\"15399936\"] \n  7 -> 8 [size =\"15399936\"]\n  8 [size=\"69104640\", alpha=\"0.12\", expect_size=\"27641856\"] \n  8 -> 9 [size =\"27641856\"]\n  9 [size=\"21045760\", alpha=\"0.16\", expect_size=\"8418304\"] \n  9 -> 10 [size =\"8418304\"]\n  10 [size=\"40215040\", alpha=\"0.20\", expect_size=\"16086016\"] \n  10 -> 11 [size =\"16086016\"]\n  11 [size=\"101952000\", alpha=\"0.18\", expect_size=\"40780800\"] \n  11 -> 12 [size =\"40780800\"]\n  12 [size=\"26675200\", alpha=\"0.18\", expect_size=\"10670080\"] \n  12 -> 13 [size =\"10670080\"]\n  13 [size=\"97095680\", alpha=\"0.18\", expect_size=\"38838272\"] \n  13 -> 14 [size =\"38838272\"]\n  14 [size=\"30568960\", alpha=\"0.05\", expect_size=\"12227584\"] \n  14 -> 15 [size =\"12227584\"]\n  15 [size=\"56780800\", alpha=\"0.08\", expect_size=\"22712320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86724608\", alpha=\"0.04\", expect_size=\"43362304\"] \n  1 -> 6 [size =\"43362304\"]\n  1 -> 7 [size =\"43362304\"]\n  1 -> 9 [size =\"43362304\"]\n  2 [size=\"47222784\", alpha=\"0.14\", expect_size=\"23611392\"] \n  2 -> 7 [size =\"23611392\"]\n  2 -> 8 [size =\"23611392\"]\n  2 -> 9 [size =\"23611392\"]\n  2 -> 10 [size =\"23611392\"]\n  3 [size=\"59303936\", alpha=\"0.20\", expect_size=\"29651968\"] \n  3 -> 6 [size =\"29651968\"]\n  3 -> 7 [size =\"29651968\"]\n  3 -> 8 [size =\"29651968\"]\n  3 -> 9 [size =\"29651968\"]\n  3 -> 10 [size =\"29651968\"]\n  4 [size=\"62222336\", alpha=\"0.00\", expect_size=\"31111168\"] \n  4 -> 8 [size =\"31111168\"]\n  4 -> 9 [size =\"31111168\"]\n  4 -> 10 [size =\"31111168\"]\n  5 [size=\"81838080\", alpha=\"0.08\", expect_size=\"40919040\"] \n  5 -> 9 [size =\"40919040\"]\n  5 -> 10 [size =\"40919040\"]\n  6 [size=\"100638720\", alpha=\"0.15\", expect_size=\"50319360\"] \n  6 -> 11 [size =\"50319360\"]\n  6 -> 12 [size =\"50319360\"]\n  6 -> 13 [size =\"50319360\"]\n  6 -> 14 [size =\"50319360\"]\n  7 [size=\"33009664\", alpha=\"0.13\", expect_size=\"16504832\"] \n  7 -> 11 [size =\"16504832\"]\n  7 -> 12 [size =\"16504832\"]\n  7 -> 13 [size =\"16504832\"]\n  8 [size=\"12345344\", alpha=\"0.13\", expect_size=\"6172672\"] \n  8 -> 11 [size =\"6172672\"]\n  8 -> 12 [size =\"6172672\"]\n  8 -> 14 [size =\"6172672\"]\n  9 [size=\"70819840\", alpha=\"0.01\", expect_size=\"35409920\"] \n  9 -> 11 [size =\"35409920\"]\n  9 -> 12 [size =\"35409920\"]\n  9 -> 13 [size =\"35409920\"]\n  9 -> 15 [size =\"35409920\"]\n  10 [size=\"30433280\", alpha=\"0.03\", expect_size=\"15216640\"] \n  10 -> 11 [size =\"15216640\"]\n  10 -> 12 [size =\"15216640\"]\n  10 -> 13 [size =\"15216640\"]\n  11 [size=\"14761984\", alpha=\"0.05\", expect_size=\"7380992\"] \n  12 [size=\"33599488\", alpha=\"0.10\", expect_size=\"16799744\"] \n  13 [size=\"99807232\", alpha=\"0.14\", expect_size=\"49903616\"] \n  14 [size=\"98256896\", alpha=\"0.09\", expect_size=\"49128448\"] \n  15 [size=\"98529280\", alpha=\"0.05\", expect_size=\"49264640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121146027\", alpha=\"0.08\", expect_size=\"36343808\"] \n  1 -> 2 [size =\"36343808\"]\n  2 [size=\"146804053\", alpha=\"0.07\", expect_size=\"44041216\"] \n  2 -> 3 [size =\"44041216\"]\n  3 [size=\"68396373\", alpha=\"0.18\", expect_size=\"20518912\"] \n  3 -> 4 [size =\"20518912\"]\n  4 [size=\"167034880\", alpha=\"0.10\", expect_size=\"50110464\"] \n  4 -> 5 [size =\"50110464\"]\n  5 [size=\"95600640\", alpha=\"0.13\", expect_size=\"28680192\"] \n  5 -> 6 [size =\"28680192\"]\n  6 [size=\"159528960\", alpha=\"0.11\", expect_size=\"47858688\"] \n  6 -> 7 [size =\"47858688\"]\n  7 [size=\"70082560\", alpha=\"0.00\", expect_size=\"21024768\"] \n  7 -> 8 [size =\"21024768\"]\n  8 [size=\"90821973\", alpha=\"0.17\", expect_size=\"27246592\"] \n  8 -> 9 [size =\"27246592\"]\n  9 [size=\"138240000\", alpha=\"0.02\", expect_size=\"41472000\"] \n  9 -> 10 [size =\"41472000\"]\n  10 [size=\"27245227\", alpha=\"0.09\", expect_size=\"8173568\"] \n  10 -> 11 [size =\"8173568\"]\n  11 [size=\"22647467\", alpha=\"0.01\", expect_size=\"6794240\"] \n  11 -> 12 [size =\"6794240\"]\n  12 [size=\"84930560\", alpha=\"0.03\", expect_size=\"25479168\"] \n  12 -> 13 [size =\"25479168\"]\n  13 [size=\"141352960\", alpha=\"0.18\", expect_size=\"42405888\"] \n  13 -> 14 [size =\"42405888\"]\n  14 [size=\"123593387\", alpha=\"0.04\", expect_size=\"37078016\"] \n  14 -> 15 [size =\"37078016\"]\n  15 [size=\"48237227\", alpha=\"0.13\", expect_size=\"14471168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18273280\", alpha=\"0.07\", expect_size=\"7309312\"] \n  1 -> 15 [size =\"7309312\"]\n  2 [size=\"81756160\", alpha=\"0.19\", expect_size=\"32702464\"] \n  2 -> 10 [size =\"32702464\"]\n  2 -> 13 [size =\"32702464\"]\n  2 -> 15 [size =\"32702464\"]\n  3 [size=\"62929920\", alpha=\"0.15\", expect_size=\"25171968\"] \n  4 [size=\"28410880\", alpha=\"0.19\", expect_size=\"11364352\"] \n  4 -> 9 [size =\"11364352\"]\n  4 -> 11 [size =\"11364352\"]\n  4 -> 15 [size =\"11364352\"]\n  5 [size=\"127257600\", alpha=\"0.01\", expect_size=\"50903040\"] \n  5 -> 9 [size =\"50903040\"]\n  5 -> 11 [size =\"50903040\"]\n  5 -> 14 [size =\"50903040\"]\n  6 [size=\"124075520\", alpha=\"0.09\", expect_size=\"49630208\"] \n  6 -> 9 [size =\"49630208\"]\n  6 -> 11 [size =\"49630208\"]\n  6 -> 15 [size =\"49630208\"]\n  7 [size=\"74749440\", alpha=\"0.14\", expect_size=\"29899776\"] \n  7 -> 9 [size =\"29899776\"]\n  7 -> 11 [size =\"29899776\"]\n  7 -> 14 [size =\"29899776\"]\n  8 [size=\"31032320\", alpha=\"0.05\", expect_size=\"12412928\"] \n  8 -> 12 [size =\"12412928\"]\n  8 -> 13 [size =\"12412928\"]\n  9 [size=\"68234240\", alpha=\"0.14\", expect_size=\"27293696\"] \n  10 [size=\"46712320\", alpha=\"0.12\", expect_size=\"18684928\"] \n  11 [size=\"18723840\", alpha=\"0.04\", expect_size=\"7489536\"] \n  12 [size=\"58380800\", alpha=\"0.11\", expect_size=\"23352320\"] \n  13 [size=\"51494400\", alpha=\"0.18\", expect_size=\"20597760\"] \n  14 [size=\"22031360\", alpha=\"0.11\", expect_size=\"8812544\"] \n  15 [size=\"17743360\", alpha=\"0.03\", expect_size=\"7097344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60672000\", alpha=\"0.00\", expect_size=\"30336000\"] \n  1 -> 6 [size =\"30336000\"]\n  2 [size=\"83066880\", alpha=\"0.19\", expect_size=\"41533440\"] \n  2 -> 4 [size =\"41533440\"]\n  2 -> 5 [size =\"41533440\"]\n  3 [size=\"63977472\", alpha=\"0.00\", expect_size=\"31988736\"] \n  3 -> 6 [size =\"31988736\"]\n  4 [size=\"47130624\", alpha=\"0.02\", expect_size=\"23565312\"] \n  4 -> 7 [size =\"23565312\"]\n  5 [size=\"82874368\", alpha=\"0.01\", expect_size=\"41437184\"] \n  6 [size=\"18354176\", alpha=\"0.18\", expect_size=\"9177088\"] \n  6 -> 7 [size =\"9177088\"]\n  7 [size=\"76924928\", alpha=\"0.06\", expect_size=\"38462464\"] \n  7 -> 8 [size =\"38462464\"]\n  7 -> 9 [size =\"38462464\"]\n  7 -> 10 [size =\"38462464\"]\n  8 [size=\"44400640\", alpha=\"0.18\", expect_size=\"22200320\"] \n  8 -> 11 [size =\"22200320\"]\n  8 -> 12 [size =\"22200320\"]\n  9 [size=\"11452416\", alpha=\"0.01\", expect_size=\"5726208\"] \n  9 -> 11 [size =\"5726208\"]\n  10 [size=\"80119808\", alpha=\"0.01\", expect_size=\"40059904\"] \n  10 -> 11 [size =\"40059904\"]\n  10 -> 12 [size =\"40059904\"]\n  11 [size=\"38043648\", alpha=\"0.12\", expect_size=\"19021824\"] \n  12 [size=\"40273920\", alpha=\"0.11\", expect_size=\"20136960\"] \n  12 -> 13 [size =\"20136960\"]\n  13 [size=\"35919872\", alpha=\"0.00\", expect_size=\"17959936\"] \n  13 -> 14 [size =\"17959936\"]\n  13 -> 15 [size =\"17959936\"]\n  14 [size=\"36960256\", alpha=\"0.10\", expect_size=\"18480128\"] \n  15 [size=\"47456256\", alpha=\"0.13\", expect_size=\"23728128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169178453\", alpha=\"0.12\", expect_size=\"50753536\"] \n  1 -> 5 [size =\"50753536\"]\n  1 -> 6 [size =\"50753536\"]\n  2 [size=\"40082773\", alpha=\"0.16\", expect_size=\"12024832\"] \n  2 -> 5 [size =\"12024832\"]\n  3 [size=\"139687253\", alpha=\"0.13\", expect_size=\"41906176\"] \n  3 -> 5 [size =\"41906176\"]\n  4 [size=\"164403200\", alpha=\"0.15\", expect_size=\"49320960\"] \n  4 -> 5 [size =\"49320960\"]\n  5 [size=\"174503253\", alpha=\"0.12\", expect_size=\"52350976\"] \n  5 -> 7 [size =\"52350976\"]\n  5 -> 8 [size =\"52350976\"]\n  5 -> 9 [size =\"52350976\"]\n  6 [size=\"145394347\", alpha=\"0.20\", expect_size=\"43618304\"] \n  6 -> 7 [size =\"43618304\"]\n  6 -> 8 [size =\"43618304\"]\n  7 [size=\"117920427\", alpha=\"0.03\", expect_size=\"35376128\"] \n  7 -> 10 [size =\"35376128\"]\n  7 -> 13 [size =\"35376128\"]\n  8 [size=\"144824320\", alpha=\"0.11\", expect_size=\"43447296\"] \n  8 -> 10 [size =\"43447296\"]\n  8 -> 11 [size =\"43447296\"]\n  8 -> 12 [size =\"43447296\"]\n  9 [size=\"103174827\", alpha=\"0.08\", expect_size=\"30952448\"] \n  9 -> 10 [size =\"30952448\"]\n  9 -> 11 [size =\"30952448\"]\n  9 -> 12 [size =\"30952448\"]\n  9 -> 13 [size =\"30952448\"]\n  10 [size=\"168710827\", alpha=\"0.06\", expect_size=\"50613248\"] \n  10 -> 14 [size =\"50613248\"]\n  10 -> 15 [size =\"50613248\"]\n  11 [size=\"101737813\", alpha=\"0.01\", expect_size=\"30521344\"] \n  11 -> 14 [size =\"30521344\"]\n  11 -> 15 [size =\"30521344\"]\n  12 [size=\"42588160\", alpha=\"0.15\", expect_size=\"12776448\"] \n  12 -> 14 [size =\"12776448\"]\n  13 [size=\"166946133\", alpha=\"0.00\", expect_size=\"50083840\"] \n  13 -> 14 [size =\"50083840\"]\n  13 -> 15 [size =\"50083840\"]\n  14 [size=\"115613013\", alpha=\"0.19\", expect_size=\"34683904\"] \n  15 [size=\"77161813\", alpha=\"0.19\", expect_size=\"23148544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11386880\", alpha=\"0.18\", expect_size=\"5693440\"] \n  1 -> 9 [size =\"5693440\"]\n  2 [size=\"104843264\", alpha=\"0.15\", expect_size=\"52421632\"] \n  2 -> 9 [size =\"52421632\"]\n  3 [size=\"92028928\", alpha=\"0.12\", expect_size=\"46014464\"] \n  3 -> 7 [size =\"46014464\"]\n  3 -> 10 [size =\"46014464\"]\n  4 [size=\"16242688\", alpha=\"0.08\", expect_size=\"8121344\"] \n  4 -> 7 [size =\"8121344\"]\n  4 -> 8 [size =\"8121344\"]\n  5 [size=\"90857472\", alpha=\"0.11\", expect_size=\"45428736\"] \n  5 -> 11 [size =\"45428736\"]\n  6 [size=\"46964736\", alpha=\"0.09\", expect_size=\"23482368\"] \n  7 [size=\"36884480\", alpha=\"0.08\", expect_size=\"18442240\"] \n  7 -> 12 [size =\"18442240\"]\n  8 [size=\"40116224\", alpha=\"0.15\", expect_size=\"20058112\"] \n  8 -> 12 [size =\"20058112\"]\n  8 -> 14 [size =\"20058112\"]\n  8 -> 15 [size =\"20058112\"]\n  9 [size=\"19171328\", alpha=\"0.04\", expect_size=\"9585664\"] \n  9 -> 15 [size =\"9585664\"]\n  10 [size=\"92452864\", alpha=\"0.08\", expect_size=\"46226432\"] \n  10 -> 13 [size =\"46226432\"]\n  10 -> 15 [size =\"46226432\"]\n  11 [size=\"79179776\", alpha=\"0.07\", expect_size=\"39589888\"] \n  12 [size=\"70387712\", alpha=\"0.12\", expect_size=\"35193856\"] \n  13 [size=\"47325184\", alpha=\"0.08\", expect_size=\"23662592\"] \n  14 [size=\"104136704\", alpha=\"0.13\", expect_size=\"52068352\"] \n  15 [size=\"49295360\", alpha=\"0.16\", expect_size=\"24647680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66621440\", alpha=\"0.14\", expect_size=\"19986432\"] \n  1 -> 6 [size =\"19986432\"]\n  1 -> 9 [size =\"19986432\"]\n  2 [size=\"65682773\", alpha=\"0.11\", expect_size=\"19704832\"] \n  2 -> 6 [size =\"19704832\"]\n  2 -> 7 [size =\"19704832\"]\n  3 [size=\"69591040\", alpha=\"0.17\", expect_size=\"20877312\"] \n  3 -> 9 [size =\"20877312\"]\n  4 [size=\"77861547\", alpha=\"0.05\", expect_size=\"23358464\"] \n  5 [size=\"93859840\", alpha=\"0.06\", expect_size=\"28157952\"] \n  5 -> 6 [size =\"28157952\"]\n  5 -> 8 [size =\"28157952\"]\n  6 [size=\"135000747\", alpha=\"0.18\", expect_size=\"40500224\"] \n  6 -> 13 [size =\"40500224\"]\n  7 [size=\"145035947\", alpha=\"0.06\", expect_size=\"43510784\"] \n  7 -> 10 [size =\"43510784\"]\n  7 -> 11 [size =\"43510784\"]\n  8 [size=\"32010240\", alpha=\"0.20\", expect_size=\"9603072\"] \n  8 -> 10 [size =\"9603072\"]\n  8 -> 11 [size =\"9603072\"]\n  8 -> 12 [size =\"9603072\"]\n  8 -> 14 [size =\"9603072\"]\n  9 [size=\"163607893\", alpha=\"0.02\", expect_size=\"49082368\"] \n  10 [size=\"54019413\", alpha=\"0.11\", expect_size=\"16205824\"] \n  11 [size=\"77704533\", alpha=\"0.18\", expect_size=\"23311360\"] \n  12 [size=\"34112853\", alpha=\"0.06\", expect_size=\"10233856\"] \n  12 -> 15 [size =\"10233856\"]\n  13 [size=\"118190080\", alpha=\"0.14\", expect_size=\"35457024\"] \n  14 [size=\"96955733\", alpha=\"0.12\", expect_size=\"29086720\"] \n  14 -> 15 [size =\"29086720\"]\n  15 [size=\"139827200\", alpha=\"0.04\", expect_size=\"41948160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63313920\", alpha=\"0.16\", expect_size=\"18994176\"] \n  1 -> 6 [size =\"18994176\"]\n  1 -> 7 [size =\"18994176\"]\n  1 -> 9 [size =\"18994176\"]\n  2 [size=\"87592960\", alpha=\"0.20\", expect_size=\"26277888\"] \n  2 -> 7 [size =\"26277888\"]\n  2 -> 8 [size =\"26277888\"]\n  2 -> 9 [size =\"26277888\"]\n  2 -> 10 [size =\"26277888\"]\n  3 [size=\"49735680\", alpha=\"0.05\", expect_size=\"14920704\"] \n  3 -> 7 [size =\"14920704\"]\n  3 -> 8 [size =\"14920704\"]\n  3 -> 10 [size =\"14920704\"]\n  4 [size=\"44083200\", alpha=\"0.08\", expect_size=\"13224960\"] \n  4 -> 6 [size =\"13224960\"]\n  4 -> 7 [size =\"13224960\"]\n  4 -> 9 [size =\"13224960\"]\n  4 -> 10 [size =\"13224960\"]\n  5 [size=\"47953920\", alpha=\"0.02\", expect_size=\"14386176\"] \n  5 -> 6 [size =\"14386176\"]\n  5 -> 7 [size =\"14386176\"]\n  5 -> 9 [size =\"14386176\"]\n  5 -> 10 [size =\"14386176\"]\n  6 [size=\"43250347\", alpha=\"0.05\", expect_size=\"12975104\"] \n  6 -> 11 [size =\"12975104\"]\n  6 -> 12 [size =\"12975104\"]\n  6 -> 15 [size =\"12975104\"]\n  7 [size=\"17800533\", alpha=\"0.07\", expect_size=\"5340160\"] \n  7 -> 13 [size =\"5340160\"]\n  7 -> 14 [size =\"5340160\"]\n  7 -> 15 [size =\"5340160\"]\n  8 [size=\"55029760\", alpha=\"0.11\", expect_size=\"16508928\"] \n  8 -> 11 [size =\"16508928\"]\n  8 -> 13 [size =\"16508928\"]\n  8 -> 15 [size =\"16508928\"]\n  9 [size=\"77469013\", alpha=\"0.19\", expect_size=\"23240704\"] \n  9 -> 11 [size =\"23240704\"]\n  9 -> 14 [size =\"23240704\"]\n  9 -> 15 [size =\"23240704\"]\n  10 [size=\"149760000\", alpha=\"0.07\", expect_size=\"44928000\"] \n  10 -> 12 [size =\"44928000\"]\n  10 -> 14 [size =\"44928000\"]\n  10 -> 15 [size =\"44928000\"]\n  11 [size=\"160901120\", alpha=\"0.10\", expect_size=\"48270336\"] \n  12 [size=\"128023893\", alpha=\"0.08\", expect_size=\"38407168\"] \n  13 [size=\"124620800\", alpha=\"0.15\", expect_size=\"37386240\"] \n  14 [size=\"163979947\", alpha=\"0.05\", expect_size=\"49193984\"] \n  15 [size=\"67372373\", alpha=\"0.12\", expect_size=\"20211712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172124160\", alpha=\"0.07\", expect_size=\"51637248\"] \n  1 -> 5 [size =\"51637248\"]\n  2 [size=\"74939733\", alpha=\"0.09\", expect_size=\"22481920\"] \n  2 -> 5 [size =\"22481920\"]\n  3 [size=\"31102293\", alpha=\"0.12\", expect_size=\"9330688\"] \n  3 -> 4 [size =\"9330688\"]\n  3 -> 5 [size =\"9330688\"]\n  4 [size=\"50056533\", alpha=\"0.01\", expect_size=\"15016960\"] \n  4 -> 6 [size =\"15016960\"]\n  4 -> 7 [size =\"15016960\"]\n  5 [size=\"78673920\", alpha=\"0.12\", expect_size=\"23602176\"] \n  5 -> 6 [size =\"23602176\"]\n  5 -> 7 [size =\"23602176\"]\n  5 -> 8 [size =\"23602176\"]\n  6 [size=\"35754667\", alpha=\"0.04\", expect_size=\"10726400\"] \n  6 -> 9 [size =\"10726400\"]\n  6 -> 10 [size =\"10726400\"]\n  7 [size=\"96583680\", alpha=\"0.15\", expect_size=\"28975104\"] \n  7 -> 9 [size =\"28975104\"]\n  7 -> 10 [size =\"28975104\"]\n  8 [size=\"142021973\", alpha=\"0.11\", expect_size=\"42606592\"] \n  9 [size=\"100488533\", alpha=\"0.05\", expect_size=\"30146560\"] \n  9 -> 11 [size =\"30146560\"]\n  10 [size=\"168140800\", alpha=\"0.19\", expect_size=\"50442240\"] \n  10 -> 11 [size =\"50442240\"]\n  11 [size=\"115599360\", alpha=\"0.01\", expect_size=\"34679808\"] \n  11 -> 12 [size =\"34679808\"]\n  11 -> 13 [size =\"34679808\"]\n  11 -> 14 [size =\"34679808\"]\n  12 [size=\"174138027\", alpha=\"0.13\", expect_size=\"52241408\"] \n  12 -> 15 [size =\"52241408\"]\n  13 [size=\"90624000\", alpha=\"0.10\", expect_size=\"27187200\"] \n  13 -> 15 [size =\"27187200\"]\n  14 [size=\"29238613\", alpha=\"0.02\", expect_size=\"8771584\"] \n  15 [size=\"36543147\", alpha=\"0.10\", expect_size=\"10962944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64066560\", alpha=\"0.17\", expect_size=\"25626624\"] \n  1 -> 2 [size =\"25626624\"]\n  2 [size=\"46999040\", alpha=\"0.19\", expect_size=\"18799616\"] \n  2 -> 3 [size =\"18799616\"]\n  3 [size=\"53964800\", alpha=\"0.15\", expect_size=\"21585920\"] \n  3 -> 4 [size =\"21585920\"]\n  4 [size=\"34117120\", alpha=\"0.18\", expect_size=\"13646848\"] \n  4 -> 5 [size =\"13646848\"]\n  5 [size=\"128483840\", alpha=\"0.06\", expect_size=\"51393536\"] \n  5 -> 6 [size =\"51393536\"]\n  6 [size=\"27010560\", alpha=\"0.04\", expect_size=\"10804224\"] \n  6 -> 7 [size =\"10804224\"]\n  7 [size=\"109120000\", alpha=\"0.09\", expect_size=\"43648000\"] \n  7 -> 8 [size =\"43648000\"]\n  8 [size=\"60160000\", alpha=\"0.09\", expect_size=\"24064000\"] \n  8 -> 9 [size =\"24064000\"]\n  9 [size=\"15441920\", alpha=\"0.17\", expect_size=\"6176768\"] \n  9 -> 10 [size =\"6176768\"]\n  10 [size=\"42475520\", alpha=\"0.03\", expect_size=\"16990208\"] \n  10 -> 11 [size =\"16990208\"]\n  11 [size=\"60546560\", alpha=\"0.16\", expect_size=\"24218624\"] \n  11 -> 12 [size =\"24218624\"]\n  12 [size=\"44935680\", alpha=\"0.08\", expect_size=\"17974272\"] \n  12 -> 13 [size =\"17974272\"]\n  13 [size=\"38876160\", alpha=\"0.14\", expect_size=\"15550464\"] \n  13 -> 14 [size =\"15550464\"]\n  14 [size=\"128294400\", alpha=\"0.06\", expect_size=\"51317760\"] \n  14 -> 15 [size =\"51317760\"]\n  15 [size=\"115604480\", alpha=\"0.08\", expect_size=\"46241792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58516480\", alpha=\"0.14\", expect_size=\"23406592\"] \n  1 -> 3 [size =\"23406592\"]\n  2 [size=\"76544000\", alpha=\"0.08\", expect_size=\"30617600\"] \n  2 -> 3 [size =\"30617600\"]\n  3 [size=\"44605440\", alpha=\"0.07\", expect_size=\"17842176\"] \n  3 -> 4 [size =\"17842176\"]\n  3 -> 5 [size =\"17842176\"]\n  3 -> 6 [size =\"17842176\"]\n  4 [size=\"74841600\", alpha=\"0.03\", expect_size=\"29936640\"] \n  4 -> 7 [size =\"29936640\"]\n  4 -> 8 [size =\"29936640\"]\n  4 -> 9 [size =\"29936640\"]\n  5 [size=\"63360000\", alpha=\"0.11\", expect_size=\"25344000\"] \n  5 -> 7 [size =\"25344000\"]\n  5 -> 8 [size =\"25344000\"]\n  6 [size=\"96394240\", alpha=\"0.17\", expect_size=\"38557696\"] \n  6 -> 7 [size =\"38557696\"]\n  6 -> 8 [size =\"38557696\"]\n  6 -> 9 [size =\"38557696\"]\n  7 [size=\"88788480\", alpha=\"0.18\", expect_size=\"35515392\"] \n  7 -> 10 [size =\"35515392\"]\n  7 -> 11 [size =\"35515392\"]\n  7 -> 13 [size =\"35515392\"]\n  8 [size=\"89152000\", alpha=\"0.13\", expect_size=\"35660800\"] \n  8 -> 10 [size =\"35660800\"]\n  8 -> 11 [size =\"35660800\"]\n  8 -> 12 [size =\"35660800\"]\n  8 -> 13 [size =\"35660800\"]\n  9 [size=\"105413120\", alpha=\"0.14\", expect_size=\"42165248\"] \n  9 -> 10 [size =\"42165248\"]\n  9 -> 11 [size =\"42165248\"]\n  10 [size=\"79075840\", alpha=\"0.12\", expect_size=\"31630336\"] \n  10 -> 15 [size =\"31630336\"]\n  11 [size=\"98979840\", alpha=\"0.14\", expect_size=\"39591936\"] \n  12 [size=\"62865920\", alpha=\"0.11\", expect_size=\"25146368\"] \n  12 -> 14 [size =\"25146368\"]\n  13 [size=\"108902400\", alpha=\"0.05\", expect_size=\"43560960\"] \n  14 [size=\"31447040\", alpha=\"0.16\", expect_size=\"12578816\"] \n  15 [size=\"47124480\", alpha=\"0.11\", expect_size=\"18849792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52834304\", alpha=\"0.03\", expect_size=\"26417152\"] \n  1 -> 2 [size =\"26417152\"]\n  2 [size=\"87883776\", alpha=\"0.04\", expect_size=\"43941888\"] \n  2 -> 3 [size =\"43941888\"]\n  3 [size=\"41072640\", alpha=\"0.02\", expect_size=\"20536320\"] \n  3 -> 4 [size =\"20536320\"]\n  4 [size=\"21118976\", alpha=\"0.17\", expect_size=\"10559488\"] \n  4 -> 5 [size =\"10559488\"]\n  5 [size=\"15239168\", alpha=\"0.16\", expect_size=\"7619584\"] \n  5 -> 6 [size =\"7619584\"]\n  6 [size=\"60751872\", alpha=\"0.14\", expect_size=\"30375936\"] \n  6 -> 7 [size =\"30375936\"]\n  7 [size=\"97183744\", alpha=\"0.19\", expect_size=\"48591872\"] \n  7 -> 8 [size =\"48591872\"]\n  8 [size=\"13686784\", alpha=\"0.13\", expect_size=\"6843392\"] \n  8 -> 9 [size =\"6843392\"]\n  9 [size=\"90191872\", alpha=\"0.11\", expect_size=\"45095936\"] \n  9 -> 10 [size =\"45095936\"]\n  10 [size=\"63864832\", alpha=\"0.07\", expect_size=\"31932416\"] \n  10 -> 11 [size =\"31932416\"]\n  11 [size=\"48285696\", alpha=\"0.05\", expect_size=\"24142848\"] \n  11 -> 12 [size =\"24142848\"]\n  12 [size=\"64452608\", alpha=\"0.16\", expect_size=\"32226304\"] \n  12 -> 13 [size =\"32226304\"]\n  13 [size=\"81780736\", alpha=\"0.15\", expect_size=\"40890368\"] \n  13 -> 14 [size =\"40890368\"]\n  14 [size=\"90679296\", alpha=\"0.13\", expect_size=\"45339648\"] \n  14 -> 15 [size =\"45339648\"]\n  15 [size=\"74569728\", alpha=\"0.06\", expect_size=\"37284864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43210752\", alpha=\"0.11\", expect_size=\"21605376\"] \n  1 -> 10 [size =\"21605376\"]\n  2 [size=\"41363456\", alpha=\"0.08\", expect_size=\"20681728\"] \n  2 -> 6 [size =\"20681728\"]\n  2 -> 8 [size =\"20681728\"]\n  2 -> 11 [size =\"20681728\"]\n  3 [size=\"92993536\", alpha=\"0.11\", expect_size=\"46496768\"] \n  3 -> 6 [size =\"46496768\"]\n  3 -> 7 [size =\"46496768\"]\n  3 -> 11 [size =\"46496768\"]\n  4 [size=\"92567552\", alpha=\"0.06\", expect_size=\"46283776\"] \n  4 -> 6 [size =\"46283776\"]\n  4 -> 8 [size =\"46283776\"]\n  4 -> 9 [size =\"46283776\"]\n  4 -> 11 [size =\"46283776\"]\n  5 [size=\"91557888\", alpha=\"0.04\", expect_size=\"45778944\"] \n  5 -> 8 [size =\"45778944\"]\n  5 -> 9 [size =\"45778944\"]\n  5 -> 9 [size =\"45778944\"]\n  6 [size=\"76163072\", alpha=\"0.06\", expect_size=\"38081536\"] \n  6 -> 12 [size =\"38081536\"]\n  6 -> 13 [size =\"38081536\"]\n  6 -> 14 [size =\"38081536\"]\n  7 [size=\"97304576\", alpha=\"0.07\", expect_size=\"48652288\"] \n  7 -> 14 [size =\"48652288\"]\n  8 [size=\"15857664\", alpha=\"0.05\", expect_size=\"7928832\"] \n  8 -> 13 [size =\"7928832\"]\n  8 -> 14 [size =\"7928832\"]\n  9 [size=\"97656832\", alpha=\"0.19\", expect_size=\"48828416\"] \n  9 -> 12 [size =\"48828416\"]\n  10 [size=\"33499136\", alpha=\"0.13\", expect_size=\"16749568\"] \n  10 -> 12 [size =\"16749568\"]\n  11 [size=\"32331776\", alpha=\"0.05\", expect_size=\"16165888\"] \n  11 -> 15 [size =\"16165888\"]\n  12 [size=\"84486144\", alpha=\"0.01\", expect_size=\"42243072\"] \n  13 [size=\"29450240\", alpha=\"0.09\", expect_size=\"14725120\"] \n  14 [size=\"80347136\", alpha=\"0.07\", expect_size=\"40173568\"] \n  15 [size=\"15403008\", alpha=\"0.03\", expect_size=\"7701504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110595413\", alpha=\"0.10\", expect_size=\"33178624\"] \n  1 -> 13 [size =\"33178624\"]\n  2 [size=\"173660160\", alpha=\"0.17\", expect_size=\"52098048\"] \n  2 -> 10 [size =\"52098048\"]\n  3 [size=\"100208640\", alpha=\"0.09\", expect_size=\"30062592\"] \n  3 -> 9 [size =\"30062592\"]\n  3 -> 13 [size =\"30062592\"]\n  4 [size=\"74209280\", alpha=\"0.20\", expect_size=\"22262784\"] \n  4 -> 9 [size =\"22262784\"]\n  4 -> 12 [size =\"22262784\"]\n  4 -> 14 [size =\"22262784\"]\n  5 [size=\"142028800\", alpha=\"0.13\", expect_size=\"42608640\"] \n  5 -> 10 [size =\"42608640\"]\n  5 -> 14 [size =\"42608640\"]\n  6 [size=\"51630080\", alpha=\"0.14\", expect_size=\"15489024\"] \n  6 -> 9 [size =\"15489024\"]\n  6 -> 10 [size =\"15489024\"]\n  6 -> 11 [size =\"15489024\"]\n  6 -> 12 [size =\"15489024\"]\n  6 -> 13 [size =\"15489024\"]\n  6 -> 15 [size =\"15489024\"]\n  7 [size=\"168424107\", alpha=\"0.15\", expect_size=\"50527232\"] \n  7 -> 10 [size =\"50527232\"]\n  7 -> 11 [size =\"50527232\"]\n  7 -> 14 [size =\"50527232\"]\n  8 [size=\"27371520\", alpha=\"0.07\", expect_size=\"8211456\"] \n  8 -> 12 [size =\"8211456\"]\n  8 -> 15 [size =\"8211456\"]\n  9 [size=\"41004373\", alpha=\"0.00\", expect_size=\"12301312\"] \n  10 [size=\"24821760\", alpha=\"0.02\", expect_size=\"7446528\"] \n  11 [size=\"106912427\", alpha=\"0.02\", expect_size=\"32073728\"] \n  12 [size=\"30467413\", alpha=\"0.13\", expect_size=\"9140224\"] \n  13 [size=\"162399573\", alpha=\"0.04\", expect_size=\"48719872\"] \n  14 [size=\"73635840\", alpha=\"0.17\", expect_size=\"22090752\"] \n  15 [size=\"72762027\", alpha=\"0.13\", expect_size=\"21828608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97699840\", alpha=\"0.14\", expect_size=\"48849920\"] \n  1 -> 4 [size =\"48849920\"]\n  1 -> 5 [size =\"48849920\"]\n  2 [size=\"100028416\", alpha=\"0.09\", expect_size=\"50014208\"] \n  2 -> 4 [size =\"50014208\"]\n  3 [size=\"66256896\", alpha=\"0.04\", expect_size=\"33128448\"] \n  3 -> 5 [size =\"33128448\"]\n  4 [size=\"58349568\", alpha=\"0.19\", expect_size=\"29174784\"] \n  4 -> 7 [size =\"29174784\"]\n  5 [size=\"56578048\", alpha=\"0.13\", expect_size=\"28289024\"] \n  5 -> 6 [size =\"28289024\"]\n  5 -> 7 [size =\"28289024\"]\n  6 [size=\"21960704\", alpha=\"0.09\", expect_size=\"10980352\"] \n  6 -> 8 [size =\"10980352\"]\n  6 -> 9 [size =\"10980352\"]\n  7 [size=\"83040256\", alpha=\"0.04\", expect_size=\"41520128\"] \n  7 -> 10 [size =\"41520128\"]\n  8 [size=\"27904000\", alpha=\"0.04\", expect_size=\"13952000\"] \n  8 -> 11 [size =\"13952000\"]\n  9 [size=\"104632320\", alpha=\"0.08\", expect_size=\"52316160\"] \n  9 -> 11 [size =\"52316160\"]\n  9 -> 12 [size =\"52316160\"]\n  10 [size=\"69074944\", alpha=\"0.16\", expect_size=\"34537472\"] \n  10 -> 12 [size =\"34537472\"]\n  11 [size=\"94242816\", alpha=\"0.19\", expect_size=\"47121408\"] \n  11 -> 13 [size =\"47121408\"]\n  12 [size=\"66652160\", alpha=\"0.13\", expect_size=\"33326080\"] \n  12 -> 13 [size =\"33326080\"]\n  12 -> 14 [size =\"33326080\"]\n  13 [size=\"16521216\", alpha=\"0.08\", expect_size=\"8260608\"] \n  14 [size=\"34484224\", alpha=\"0.13\", expect_size=\"17242112\"] \n  14 -> 15 [size =\"17242112\"]\n  15 [size=\"30750720\", alpha=\"0.15\", expect_size=\"15375360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83281920\", alpha=\"0.18\", expect_size=\"41640960\"] \n  1 -> 5 [size =\"41640960\"]\n  1 -> 6 [size =\"41640960\"]\n  1 -> 7 [size =\"41640960\"]\n  1 -> 8 [size =\"41640960\"]\n  2 [size=\"57518080\", alpha=\"0.05\", expect_size=\"28759040\"] \n  2 -> 5 [size =\"28759040\"]\n  2 -> 7 [size =\"28759040\"]\n  3 [size=\"47173632\", alpha=\"0.10\", expect_size=\"23586816\"] \n  3 -> 5 [size =\"23586816\"]\n  3 -> 6 [size =\"23586816\"]\n  3 -> 7 [size =\"23586816\"]\n  4 [size=\"37457920\", alpha=\"0.15\", expect_size=\"18728960\"] \n  4 -> 5 [size =\"18728960\"]\n  4 -> 7 [size =\"18728960\"]\n  5 [size=\"69677056\", alpha=\"0.06\", expect_size=\"34838528\"] \n  5 -> 9 [size =\"34838528\"]\n  5 -> 10 [size =\"34838528\"]\n  5 -> 12 [size =\"34838528\"]\n  5 -> 13 [size =\"34838528\"]\n  5 -> 13 [size =\"34838528\"]\n  5 -> 14 [size =\"34838528\"]\n  6 [size=\"92438528\", alpha=\"0.05\", expect_size=\"46219264\"] \n  6 -> 9 [size =\"46219264\"]\n  6 -> 10 [size =\"46219264\"]\n  6 -> 11 [size =\"46219264\"]\n  6 -> 12 [size =\"46219264\"]\n  7 [size=\"35194880\", alpha=\"0.01\", expect_size=\"17597440\"] \n  7 -> 9 [size =\"17597440\"]\n  7 -> 10 [size =\"17597440\"]\n  7 -> 11 [size =\"17597440\"]\n  7 -> 12 [size =\"17597440\"]\n  7 -> 13 [size =\"17597440\"]\n  8 [size=\"53415936\", alpha=\"0.00\", expect_size=\"26707968\"] \n  8 -> 9 [size =\"26707968\"]\n  8 -> 10 [size =\"26707968\"]\n  8 -> 11 [size =\"26707968\"]\n  8 -> 12 [size =\"26707968\"]\n  8 -> 13 [size =\"26707968\"]\n  8 -> 14 [size =\"26707968\"]\n  8 -> 15 [size =\"26707968\"]\n  9 [size=\"69154816\", alpha=\"0.17\", expect_size=\"34577408\"] \n  10 [size=\"54865920\", alpha=\"0.00\", expect_size=\"27432960\"] \n  11 [size=\"36894720\", alpha=\"0.15\", expect_size=\"18447360\"] \n  12 [size=\"26005504\", alpha=\"0.16\", expect_size=\"13002752\"] \n  13 [size=\"50352128\", alpha=\"0.05\", expect_size=\"25176064\"] \n  14 [size=\"99444736\", alpha=\"0.10\", expect_size=\"49722368\"] \n  15 [size=\"77967360\", alpha=\"0.07\", expect_size=\"38983680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17372160\", alpha=\"0.06\", expect_size=\"6948864\"] \n  1 -> 2 [size =\"6948864\"]\n  2 [size=\"41646080\", alpha=\"0.08\", expect_size=\"16658432\"] \n  2 -> 3 [size =\"16658432\"]\n  3 [size=\"113871360\", alpha=\"0.16\", expect_size=\"45548544\"] \n  3 -> 4 [size =\"45548544\"]\n  4 [size=\"118581760\", alpha=\"0.08\", expect_size=\"47432704\"] \n  4 -> 5 [size =\"47432704\"]\n  5 [size=\"129661440\", alpha=\"0.09\", expect_size=\"51864576\"] \n  5 -> 6 [size =\"51864576\"]\n  6 [size=\"92390400\", alpha=\"0.09\", expect_size=\"36956160\"] \n  6 -> 7 [size =\"36956160\"]\n  7 [size=\"22579200\", alpha=\"0.01\", expect_size=\"9031680\"] \n  7 -> 8 [size =\"9031680\"]\n  8 [size=\"60144640\", alpha=\"0.13\", expect_size=\"24057856\"] \n  8 -> 9 [size =\"24057856\"]\n  9 [size=\"102592000\", alpha=\"0.13\", expect_size=\"41036800\"] \n  9 -> 10 [size =\"41036800\"]\n  10 [size=\"23961600\", alpha=\"0.09\", expect_size=\"9584640\"] \n  10 -> 11 [size =\"9584640\"]\n  11 [size=\"111664640\", alpha=\"0.14\", expect_size=\"44665856\"] \n  11 -> 12 [size =\"44665856\"]\n  12 [size=\"29731840\", alpha=\"0.17\", expect_size=\"11892736\"] \n  12 -> 13 [size =\"11892736\"]\n  13 [size=\"76623360\", alpha=\"0.16\", expect_size=\"30649344\"] \n  13 -> 14 [size =\"30649344\"]\n  14 [size=\"52367360\", alpha=\"0.10\", expect_size=\"20946944\"] \n  14 -> 15 [size =\"20946944\"]\n  15 [size=\"101232640\", alpha=\"0.12\", expect_size=\"40493056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52137984\", alpha=\"0.20\", expect_size=\"26068992\"] \n  1 -> 3 [size =\"26068992\"]\n  1 -> 4 [size =\"26068992\"]\n  2 [size=\"78993408\", alpha=\"0.13\", expect_size=\"39496704\"] \n  3 [size=\"47196160\", alpha=\"0.05\", expect_size=\"23598080\"] \n  3 -> 6 [size =\"23598080\"]\n  4 [size=\"54177792\", alpha=\"0.07\", expect_size=\"27088896\"] \n  4 -> 5 [size =\"27088896\"]\n  4 -> 7 [size =\"27088896\"]\n  5 [size=\"70672384\", alpha=\"0.01\", expect_size=\"35336192\"] \n  5 -> 8 [size =\"35336192\"]\n  5 -> 9 [size =\"35336192\"]\n  5 -> 10 [size =\"35336192\"]\n  6 [size=\"55236608\", alpha=\"0.01\", expect_size=\"27618304\"] \n  6 -> 10 [size =\"27618304\"]\n  7 [size=\"45156352\", alpha=\"0.17\", expect_size=\"22578176\"] \n  7 -> 8 [size =\"22578176\"]\n  8 [size=\"95043584\", alpha=\"0.02\", expect_size=\"47521792\"] \n  8 -> 11 [size =\"47521792\"]\n  9 [size=\"50542592\", alpha=\"0.08\", expect_size=\"25271296\"] \n  10 [size=\"99360768\", alpha=\"0.18\", expect_size=\"49680384\"] \n  10 -> 12 [size =\"49680384\"]\n  11 [size=\"77131776\", alpha=\"0.02\", expect_size=\"38565888\"] \n  11 -> 13 [size =\"38565888\"]\n  11 -> 15 [size =\"38565888\"]\n  12 [size=\"74846208\", alpha=\"0.12\", expect_size=\"37423104\"] \n  12 -> 14 [size =\"37423104\"]\n  13 [size=\"43028480\", alpha=\"0.01\", expect_size=\"21514240\"] \n  14 [size=\"65019904\", alpha=\"0.13\", expect_size=\"32509952\"] \n  15 [size=\"97210368\", alpha=\"0.02\", expect_size=\"48605184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58698240\", alpha=\"0.10\", expect_size=\"23479296\"] \n  1 -> 3 [size =\"23479296\"]\n  1 -> 4 [size =\"23479296\"]\n  2 [size=\"93445120\", alpha=\"0.04\", expect_size=\"37378048\"] \n  2 -> 3 [size =\"37378048\"]\n  2 -> 4 [size =\"37378048\"]\n  3 [size=\"56701440\", alpha=\"0.07\", expect_size=\"22680576\"] \n  3 -> 5 [size =\"22680576\"]\n  3 -> 6 [size =\"22680576\"]\n  4 [size=\"73162240\", alpha=\"0.04\", expect_size=\"29264896\"] \n  4 -> 5 [size =\"29264896\"]\n  4 -> 6 [size =\"29264896\"]\n  5 [size=\"20733440\", alpha=\"0.05\", expect_size=\"8293376\"] \n  6 [size=\"49103360\", alpha=\"0.05\", expect_size=\"19641344\"] \n  6 -> 7 [size =\"19641344\"]\n  7 [size=\"102940160\", alpha=\"0.14\", expect_size=\"41176064\"] \n  7 -> 8 [size =\"41176064\"]\n  8 [size=\"86981120\", alpha=\"0.07\", expect_size=\"34792448\"] \n  8 -> 9 [size =\"34792448\"]\n  8 -> 10 [size =\"34792448\"]\n  9 [size=\"41784320\", alpha=\"0.14\", expect_size=\"16713728\"] \n  9 -> 11 [size =\"16713728\"]\n  10 [size=\"124290560\", alpha=\"0.09\", expect_size=\"49716224\"] \n  10 -> 11 [size =\"49716224\"]\n  11 [size=\"74618880\", alpha=\"0.10\", expect_size=\"29847552\"] \n  11 -> 12 [size =\"29847552\"]\n  11 -> 13 [size =\"29847552\"]\n  12 [size=\"130946560\", alpha=\"0.00\", expect_size=\"52378624\"] \n  13 [size=\"37224960\", alpha=\"0.09\", expect_size=\"14889984\"] \n  13 -> 14 [size =\"14889984\"]\n  13 -> 15 [size =\"14889984\"]\n  14 [size=\"79349760\", alpha=\"0.05\", expect_size=\"31739904\"] \n  15 [size=\"100605440\", alpha=\"0.10\", expect_size=\"40242176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66928640\", alpha=\"0.03\", expect_size=\"20078592\"] \n  1 -> 2 [size =\"20078592\"]\n  1 -> 3 [size =\"20078592\"]\n  2 [size=\"49582080\", alpha=\"0.17\", expect_size=\"14874624\"] \n  3 [size=\"159614293\", alpha=\"0.13\", expect_size=\"47884288\"] \n  3 -> 4 [size =\"47884288\"]\n  4 [size=\"150558720\", alpha=\"0.04\", expect_size=\"45167616\"] \n  4 -> 5 [size =\"45167616\"]\n  5 [size=\"102038187\", alpha=\"0.12\", expect_size=\"30611456\"] \n  5 -> 6 [size =\"30611456\"]\n  5 -> 7 [size =\"30611456\"]\n  6 [size=\"126276267\", alpha=\"0.03\", expect_size=\"37882880\"] \n  6 -> 8 [size =\"37882880\"]\n  7 [size=\"149910187\", alpha=\"0.11\", expect_size=\"44973056\"] \n  8 [size=\"147353600\", alpha=\"0.18\", expect_size=\"44206080\"] \n  8 -> 9 [size =\"44206080\"]\n  9 [size=\"104591360\", alpha=\"0.06\", expect_size=\"31377408\"] \n  9 -> 10 [size =\"31377408\"]\n  9 -> 11 [size =\"31377408\"]\n  10 [size=\"86644053\", alpha=\"0.17\", expect_size=\"25993216\"] \n  10 -> 12 [size =\"25993216\"]\n  11 [size=\"174298453\", alpha=\"0.07\", expect_size=\"52289536\"] \n  11 -> 12 [size =\"52289536\"]\n  12 [size=\"36713813\", alpha=\"0.03\", expect_size=\"11014144\"] \n  12 -> 13 [size =\"11014144\"]\n  12 -> 14 [size =\"11014144\"]\n  13 [size=\"169349120\", alpha=\"0.01\", expect_size=\"50804736\"] \n  13 -> 15 [size =\"50804736\"]\n  14 [size=\"111305387\", alpha=\"0.15\", expect_size=\"33391616\"] \n  14 -> 15 [size =\"33391616\"]\n  15 [size=\"139448320\", alpha=\"0.11\", expect_size=\"41834496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52420608\", alpha=\"0.08\", expect_size=\"26210304\"] \n  1 -> 3 [size =\"26210304\"]\n  1 -> 4 [size =\"26210304\"]\n  2 [size=\"17324032\", alpha=\"0.07\", expect_size=\"8662016\"] \n  2 -> 3 [size =\"8662016\"]\n  2 -> 4 [size =\"8662016\"]\n  3 [size=\"67043328\", alpha=\"0.11\", expect_size=\"33521664\"] \n  3 -> 6 [size =\"33521664\"]\n  3 -> 7 [size =\"33521664\"]\n  4 [size=\"88190976\", alpha=\"0.18\", expect_size=\"44095488\"] \n  4 -> 5 [size =\"44095488\"]\n  4 -> 7 [size =\"44095488\"]\n  5 [size=\"57106432\", alpha=\"0.09\", expect_size=\"28553216\"] \n  5 -> 8 [size =\"28553216\"]\n  5 -> 9 [size =\"28553216\"]\n  6 [size=\"59635712\", alpha=\"0.10\", expect_size=\"29817856\"] \n  6 -> 8 [size =\"29817856\"]\n  6 -> 9 [size =\"29817856\"]\n  7 [size=\"52969472\", alpha=\"0.07\", expect_size=\"26484736\"] \n  7 -> 9 [size =\"26484736\"]\n  8 [size=\"33894400\", alpha=\"0.03\", expect_size=\"16947200\"] \n  8 -> 10 [size =\"16947200\"]\n  8 -> 11 [size =\"16947200\"]\n  8 -> 12 [size =\"16947200\"]\n  9 [size=\"37498880\", alpha=\"0.02\", expect_size=\"18749440\"] \n  9 -> 10 [size =\"18749440\"]\n  9 -> 11 [size =\"18749440\"]\n  10 [size=\"67987456\", alpha=\"0.06\", expect_size=\"33993728\"] \n  10 -> 13 [size =\"33993728\"]\n  10 -> 14 [size =\"33993728\"]\n  11 [size=\"64067584\", alpha=\"0.08\", expect_size=\"32033792\"] \n  11 -> 14 [size =\"32033792\"]\n  12 [size=\"103923712\", alpha=\"0.11\", expect_size=\"51961856\"] \n  12 -> 13 [size =\"51961856\"]\n  12 -> 14 [size =\"51961856\"]\n  13 [size=\"43716608\", alpha=\"0.09\", expect_size=\"21858304\"] \n  14 [size=\"96462848\", alpha=\"0.11\", expect_size=\"48231424\"] \n  14 -> 15 [size =\"48231424\"]\n  15 [size=\"85725184\", alpha=\"0.09\", expect_size=\"42862592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86233088\", alpha=\"0.12\", expect_size=\"43116544\"] \n  1 -> 13 [size =\"43116544\"]\n  2 [size=\"13121536\", alpha=\"0.02\", expect_size=\"6560768\"] \n  2 -> 12 [size =\"6560768\"]\n  2 -> 15 [size =\"6560768\"]\n  3 [size=\"79685632\", alpha=\"0.09\", expect_size=\"39842816\"] \n  4 [size=\"15616000\", alpha=\"0.17\", expect_size=\"7808000\"] \n  4 -> 13 [size =\"7808000\"]\n  4 -> 15 [size =\"7808000\"]\n  5 [size=\"70678528\", alpha=\"0.11\", expect_size=\"35339264\"] \n  5 -> 13 [size =\"35339264\"]\n  6 [size=\"95197184\", alpha=\"0.18\", expect_size=\"47598592\"] \n  7 [size=\"66621440\", alpha=\"0.04\", expect_size=\"33310720\"] \n  7 -> 13 [size =\"33310720\"]\n  7 -> 15 [size =\"33310720\"]\n  8 [size=\"10655744\", alpha=\"0.12\", expect_size=\"5327872\"] \n  9 [size=\"40085504\", alpha=\"0.16\", expect_size=\"20042752\"] \n  10 [size=\"49383424\", alpha=\"0.06\", expect_size=\"24691712\"] \n  10 -> 13 [size =\"24691712\"]\n  10 -> 14 [size =\"24691712\"]\n  11 [size=\"71196672\", alpha=\"0.02\", expect_size=\"35598336\"] \n  11 -> 13 [size =\"35598336\"]\n  11 -> 14 [size =\"35598336\"]\n  12 [size=\"35194880\", alpha=\"0.15\", expect_size=\"17597440\"] \n  13 [size=\"44064768\", alpha=\"0.20\", expect_size=\"22032384\"] \n  14 [size=\"86757376\", alpha=\"0.06\", expect_size=\"43378688\"] \n  15 [size=\"74823680\", alpha=\"0.03\", expect_size=\"37411840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170707627\", alpha=\"0.02\", expect_size=\"51212288\"] \n  1 -> 5 [size =\"51212288\"]\n  1 -> 7 [size =\"51212288\"]\n  1 -> 8 [size =\"51212288\"]\n  1 -> 9 [size =\"51212288\"]\n  1 -> 10 [size =\"51212288\"]\n  2 [size=\"34867200\", alpha=\"0.06\", expect_size=\"10460160\"] \n  2 -> 4 [size =\"10460160\"]\n  2 -> 5 [size =\"10460160\"]\n  2 -> 7 [size =\"10460160\"]\n  2 -> 9 [size =\"10460160\"]\n  2 -> 10 [size =\"10460160\"]\n  3 [size=\"133509120\", alpha=\"0.03\", expect_size=\"40052736\"] \n  3 -> 4 [size =\"40052736\"]\n  3 -> 5 [size =\"40052736\"]\n  3 -> 6 [size =\"40052736\"]\n  3 -> 10 [size =\"40052736\"]\n  4 [size=\"64884053\", alpha=\"0.04\", expect_size=\"19465216\"] \n  4 -> 11 [size =\"19465216\"]\n  4 -> 12 [size =\"19465216\"]\n  4 -> 13 [size =\"19465216\"]\n  4 -> 14 [size =\"19465216\"]\n  4 -> 15 [size =\"19465216\"]\n  5 [size=\"53084160\", alpha=\"0.19\", expect_size=\"15925248\"] \n  5 -> 11 [size =\"15925248\"]\n  5 -> 14 [size =\"15925248\"]\n  5 -> 15 [size =\"15925248\"]\n  6 [size=\"143964160\", alpha=\"0.10\", expect_size=\"43189248\"] \n  6 -> 11 [size =\"43189248\"]\n  6 -> 13 [size =\"43189248\"]\n  6 -> 14 [size =\"43189248\"]\n  6 -> 15 [size =\"43189248\"]\n  7 [size=\"144636587\", alpha=\"0.06\", expect_size=\"43390976\"] \n  7 -> 11 [size =\"43390976\"]\n  8 [size=\"136376320\", alpha=\"0.12\", expect_size=\"40912896\"] \n  8 -> 12 [size =\"40912896\"]\n  8 -> 13 [size =\"40912896\"]\n  8 -> 15 [size =\"40912896\"]\n  9 [size=\"109096960\", alpha=\"0.10\", expect_size=\"32729088\"] \n  9 -> 11 [size =\"32729088\"]\n  9 -> 12 [size =\"32729088\"]\n  9 -> 14 [size =\"32729088\"]\n  10 [size=\"117678080\", alpha=\"0.06\", expect_size=\"35303424\"] \n  10 -> 11 [size =\"35303424\"]\n  10 -> 13 [size =\"35303424\"]\n  10 -> 14 [size =\"35303424\"]\n  11 [size=\"91975680\", alpha=\"0.08\", expect_size=\"27592704\"] \n  12 [size=\"106690560\", alpha=\"0.17\", expect_size=\"32007168\"] \n  13 [size=\"156043947\", alpha=\"0.09\", expect_size=\"46813184\"] \n  14 [size=\"20845227\", alpha=\"0.03\", expect_size=\"6253568\"] \n  15 [size=\"50752853\", alpha=\"0.18\", expect_size=\"15225856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31877120\", alpha=\"0.12\", expect_size=\"9563136\"] \n  1 -> 3 [size =\"9563136\"]\n  2 [size=\"147732480\", alpha=\"0.13\", expect_size=\"44319744\"] \n  2 -> 3 [size =\"44319744\"]\n  3 [size=\"27651413\", alpha=\"0.04\", expect_size=\"8295424\"] \n  3 -> 4 [size =\"8295424\"]\n  3 -> 5 [size =\"8295424\"]\n  4 [size=\"138970453\", alpha=\"0.18\", expect_size=\"41691136\"] \n  4 -> 6 [size =\"41691136\"]\n  5 [size=\"93463893\", alpha=\"0.04\", expect_size=\"28039168\"] \n  5 -> 6 [size =\"28039168\"]\n  6 [size=\"18391040\", alpha=\"0.19\", expect_size=\"5517312\"] \n  6 -> 7 [size =\"5517312\"]\n  7 [size=\"19360427\", alpha=\"0.07\", expect_size=\"5808128\"] \n  7 -> 8 [size =\"5808128\"]\n  7 -> 9 [size =\"5808128\"]\n  8 [size=\"150886400\", alpha=\"0.06\", expect_size=\"45265920\"] \n  8 -> 10 [size =\"45265920\"]\n  9 [size=\"168451413\", alpha=\"0.16\", expect_size=\"50535424\"] \n  9 -> 10 [size =\"50535424\"]\n  10 [size=\"62938453\", alpha=\"0.15\", expect_size=\"18881536\"] \n  10 -> 11 [size =\"18881536\"]\n  11 [size=\"47639893\", alpha=\"0.04\", expect_size=\"14291968\"] \n  11 -> 12 [size =\"14291968\"]\n  11 -> 13 [size =\"14291968\"]\n  12 [size=\"141793280\", alpha=\"0.07\", expect_size=\"42537984\"] \n  12 -> 14 [size =\"42537984\"]\n  12 -> 15 [size =\"42537984\"]\n  13 [size=\"84988587\", alpha=\"0.06\", expect_size=\"25496576\"] \n  13 -> 14 [size =\"25496576\"]\n  13 -> 15 [size =\"25496576\"]\n  14 [size=\"113643520\", alpha=\"0.09\", expect_size=\"34093056\"] \n  15 [size=\"98918400\", alpha=\"0.09\", expect_size=\"29675520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16865280\", alpha=\"0.10\", expect_size=\"8432640\"] \n  1 -> 2 [size =\"8432640\"]\n  2 [size=\"18003968\", alpha=\"0.16\", expect_size=\"9001984\"] \n  2 -> 3 [size =\"9001984\"]\n  3 [size=\"13094912\", alpha=\"0.05\", expect_size=\"6547456\"] \n  3 -> 4 [size =\"6547456\"]\n  4 [size=\"27084800\", alpha=\"0.19\", expect_size=\"13542400\"] \n  4 -> 5 [size =\"13542400\"]\n  5 [size=\"44922880\", alpha=\"0.14\", expect_size=\"22461440\"] \n  5 -> 6 [size =\"22461440\"]\n  6 [size=\"19904512\", alpha=\"0.04\", expect_size=\"9952256\"] \n  6 -> 7 [size =\"9952256\"]\n  7 [size=\"71305216\", alpha=\"0.10\", expect_size=\"35652608\"] \n  7 -> 8 [size =\"35652608\"]\n  8 [size=\"68806656\", alpha=\"0.03\", expect_size=\"34403328\"] \n  8 -> 9 [size =\"34403328\"]\n  9 [size=\"71780352\", alpha=\"0.16\", expect_size=\"35890176\"] \n  9 -> 10 [size =\"35890176\"]\n  10 [size=\"51273728\", alpha=\"0.14\", expect_size=\"25636864\"] \n  10 -> 11 [size =\"25636864\"]\n  11 [size=\"18243584\", alpha=\"0.13\", expect_size=\"9121792\"] \n  11 -> 12 [size =\"9121792\"]\n  12 [size=\"64000000\", alpha=\"0.05\", expect_size=\"32000000\"] \n  12 -> 13 [size =\"32000000\"]\n  13 [size=\"42778624\", alpha=\"0.13\", expect_size=\"21389312\"] \n  13 -> 14 [size =\"21389312\"]\n  14 [size=\"67166208\", alpha=\"0.13\", expect_size=\"33583104\"] \n  14 -> 15 [size =\"33583104\"]\n  15 [size=\"61849600\", alpha=\"0.07\", expect_size=\"30924800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103012352\", alpha=\"0.00\", expect_size=\"51506176\"] \n  1 -> 2 [size =\"51506176\"]\n  2 [size=\"100997120\", alpha=\"0.18\", expect_size=\"50498560\"] \n  2 -> 3 [size =\"50498560\"]\n  3 [size=\"69804032\", alpha=\"0.00\", expect_size=\"34902016\"] \n  3 -> 4 [size =\"34902016\"]\n  4 [size=\"69662720\", alpha=\"0.07\", expect_size=\"34831360\"] \n  4 -> 5 [size =\"34831360\"]\n  5 [size=\"81031168\", alpha=\"0.07\", expect_size=\"40515584\"] \n  5 -> 6 [size =\"40515584\"]\n  6 [size=\"88178688\", alpha=\"0.03\", expect_size=\"44089344\"] \n  6 -> 7 [size =\"44089344\"]\n  7 [size=\"102324224\", alpha=\"0.07\", expect_size=\"51162112\"] \n  7 -> 8 [size =\"51162112\"]\n  8 [size=\"94337024\", alpha=\"0.12\", expect_size=\"47168512\"] \n  8 -> 9 [size =\"47168512\"]\n  9 [size=\"60649472\", alpha=\"0.14\", expect_size=\"30324736\"] \n  9 -> 10 [size =\"30324736\"]\n  10 [size=\"70782976\", alpha=\"0.15\", expect_size=\"35391488\"] \n  10 -> 11 [size =\"35391488\"]\n  11 [size=\"83478528\", alpha=\"0.11\", expect_size=\"41739264\"] \n  11 -> 12 [size =\"41739264\"]\n  12 [size=\"84905984\", alpha=\"0.09\", expect_size=\"42452992\"] \n  12 -> 13 [size =\"42452992\"]\n  13 [size=\"77547520\", alpha=\"0.15\", expect_size=\"38773760\"] \n  13 -> 14 [size =\"38773760\"]\n  14 [size=\"77854720\", alpha=\"0.14\", expect_size=\"38927360\"] \n  14 -> 15 [size =\"38927360\"]\n  15 [size=\"18030592\", alpha=\"0.12\", expect_size=\"9015296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71856128\", alpha=\"0.10\", expect_size=\"35928064\"] \n  1 -> 4 [size =\"35928064\"]\n  2 [size=\"71000064\", alpha=\"0.08\", expect_size=\"35500032\"] \n  2 -> 3 [size =\"35500032\"]\n  2 -> 4 [size =\"35500032\"]\n  3 [size=\"72531968\", alpha=\"0.07\", expect_size=\"36265984\"] \n  3 -> 5 [size =\"36265984\"]\n  4 [size=\"81027072\", alpha=\"0.15\", expect_size=\"40513536\"] \n  4 -> 6 [size =\"40513536\"]\n  5 [size=\"77027328\", alpha=\"0.02\", expect_size=\"38513664\"] \n  5 -> 8 [size =\"38513664\"]\n  6 [size=\"47110144\", alpha=\"0.13\", expect_size=\"23555072\"] \n  6 -> 7 [size =\"23555072\"]\n  7 [size=\"17582080\", alpha=\"0.01\", expect_size=\"8791040\"] \n  7 -> 9 [size =\"8791040\"]\n  8 [size=\"16478208\", alpha=\"0.16\", expect_size=\"8239104\"] \n  9 [size=\"66924544\", alpha=\"0.13\", expect_size=\"33462272\"] \n  9 -> 10 [size =\"33462272\"]\n  9 -> 11 [size =\"33462272\"]\n  10 [size=\"19550208\", alpha=\"0.18\", expect_size=\"9775104\"] \n  10 -> 12 [size =\"9775104\"]\n  11 [size=\"11442176\", alpha=\"0.17\", expect_size=\"5721088\"] \n  12 [size=\"59621376\", alpha=\"0.09\", expect_size=\"29810688\"] \n  12 -> 13 [size =\"29810688\"]\n  13 [size=\"97519616\", alpha=\"0.10\", expect_size=\"48759808\"] \n  13 -> 14 [size =\"48759808\"]\n  14 [size=\"35956736\", alpha=\"0.12\", expect_size=\"17978368\"] \n  14 -> 15 [size =\"17978368\"]\n  15 [size=\"11358208\", alpha=\"0.06\", expect_size=\"5679104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30980096\", alpha=\"0.07\", expect_size=\"15490048\"] \n  1 -> 3 [size =\"15490048\"]\n  2 [size=\"18026496\", alpha=\"0.05\", expect_size=\"9013248\"] \n  2 -> 4 [size =\"9013248\"]\n  3 [size=\"86816768\", alpha=\"0.02\", expect_size=\"43408384\"] \n  3 -> 7 [size =\"43408384\"]\n  4 [size=\"87455744\", alpha=\"0.01\", expect_size=\"43727872\"] \n  4 -> 5 [size =\"43727872\"]\n  4 -> 6 [size =\"43727872\"]\n  4 -> 7 [size =\"43727872\"]\n  5 [size=\"31977472\", alpha=\"0.04\", expect_size=\"15988736\"] \n  5 -> 9 [size =\"15988736\"]\n  6 [size=\"42579968\", alpha=\"0.19\", expect_size=\"21289984\"] \n  6 -> 8 [size =\"21289984\"]\n  6 -> 9 [size =\"21289984\"]\n  7 [size=\"61304832\", alpha=\"0.04\", expect_size=\"30652416\"] \n  7 -> 8 [size =\"30652416\"]\n  8 [size=\"59607040\", alpha=\"0.02\", expect_size=\"29803520\"] \n  9 [size=\"83687424\", alpha=\"0.10\", expect_size=\"41843712\"] \n  9 -> 10 [size =\"41843712\"]\n  9 -> 11 [size =\"41843712\"]\n  9 -> 12 [size =\"41843712\"]\n  10 [size=\"70193152\", alpha=\"0.09\", expect_size=\"35096576\"] \n  10 -> 14 [size =\"35096576\"]\n  11 [size=\"50788352\", alpha=\"0.08\", expect_size=\"25394176\"] \n  11 -> 13 [size =\"25394176\"]\n  11 -> 15 [size =\"25394176\"]\n  12 [size=\"84736000\", alpha=\"0.01\", expect_size=\"42368000\"] \n  13 [size=\"13821952\", alpha=\"0.16\", expect_size=\"6910976\"] \n  14 [size=\"22618112\", alpha=\"0.16\", expect_size=\"11309056\"] \n  15 [size=\"28557312\", alpha=\"0.07\", expect_size=\"14278656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109305173\", alpha=\"0.07\", expect_size=\"32791552\"] \n  1 -> 2 [size =\"32791552\"]\n  1 -> 3 [size =\"32791552\"]\n  2 [size=\"110233600\", alpha=\"0.18\", expect_size=\"33070080\"] \n  2 -> 4 [size =\"33070080\"]\n  3 [size=\"34283520\", alpha=\"0.08\", expect_size=\"10285056\"] \n  3 -> 4 [size =\"10285056\"]\n  4 [size=\"153193813\", alpha=\"0.00\", expect_size=\"45958144\"] \n  4 -> 5 [size =\"45958144\"]\n  5 [size=\"54784000\", alpha=\"0.16\", expect_size=\"16435200\"] \n  5 -> 6 [size =\"16435200\"]\n  6 [size=\"116957867\", alpha=\"0.09\", expect_size=\"35087360\"] \n  6 -> 7 [size =\"35087360\"]\n  7 [size=\"55203840\", alpha=\"0.18\", expect_size=\"16561152\"] \n  7 -> 8 [size =\"16561152\"]\n  8 [size=\"18520747\", alpha=\"0.04\", expect_size=\"5556224\"] \n  8 -> 9 [size =\"5556224\"]\n  8 -> 10 [size =\"5556224\"]\n  9 [size=\"66413227\", alpha=\"0.13\", expect_size=\"19923968\"] \n  9 -> 12 [size =\"19923968\"]\n  10 [size=\"147606187\", alpha=\"0.18\", expect_size=\"44281856\"] \n  10 -> 11 [size =\"44281856\"]\n  11 [size=\"98833067\", alpha=\"0.10\", expect_size=\"29649920\"] \n  12 [size=\"153937920\", alpha=\"0.05\", expect_size=\"46181376\"] \n  12 -> 13 [size =\"46181376\"]\n  13 [size=\"136069120\", alpha=\"0.08\", expect_size=\"40820736\"] \n  13 -> 14 [size =\"40820736\"]\n  13 -> 15 [size =\"40820736\"]\n  14 [size=\"41383253\", alpha=\"0.17\", expect_size=\"12414976\"] \n  15 [size=\"44591787\", alpha=\"0.08\", expect_size=\"13377536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100564992\", alpha=\"0.04\", expect_size=\"50282496\"] \n  1 -> 7 [size =\"50282496\"]\n  1 -> 10 [size =\"50282496\"]\n  2 [size=\"25905152\", alpha=\"0.12\", expect_size=\"12952576\"] \n  2 -> 12 [size =\"12952576\"]\n  3 [size=\"50247680\", alpha=\"0.08\", expect_size=\"25123840\"] \n  3 -> 7 [size =\"25123840\"]\n  3 -> 10 [size =\"25123840\"]\n  4 [size=\"97081344\", alpha=\"0.01\", expect_size=\"48540672\"] \n  4 -> 9 [size =\"48540672\"]\n  5 [size=\"72646656\", alpha=\"0.13\", expect_size=\"36323328\"] \n  5 -> 7 [size =\"36323328\"]\n  6 [size=\"11110400\", alpha=\"0.00\", expect_size=\"5555200\"] \n  6 -> 7 [size =\"5555200\"]\n  6 -> 8 [size =\"5555200\"]\n  6 -> 10 [size =\"5555200\"]\n  6 -> 11 [size =\"5555200\"]\n  7 [size=\"16603136\", alpha=\"0.19\", expect_size=\"8301568\"] \n  7 -> 13 [size =\"8301568\"]\n  7 -> 14 [size =\"8301568\"]\n  8 [size=\"54548480\", alpha=\"0.01\", expect_size=\"27274240\"] \n  8 -> 14 [size =\"27274240\"]\n  8 -> 15 [size =\"27274240\"]\n  9 [size=\"87420928\", alpha=\"0.07\", expect_size=\"43710464\"] \n  9 -> 13 [size =\"43710464\"]\n  10 [size=\"81807360\", alpha=\"0.19\", expect_size=\"40903680\"] \n  10 -> 13 [size =\"40903680\"]\n  11 [size=\"88555520\", alpha=\"0.12\", expect_size=\"44277760\"] \n  12 [size=\"11399168\", alpha=\"0.05\", expect_size=\"5699584\"] \n  13 [size=\"66842624\", alpha=\"0.09\", expect_size=\"33421312\"] \n  14 [size=\"10518528\", alpha=\"0.18\", expect_size=\"5259264\"] \n  15 [size=\"16943104\", alpha=\"0.13\", expect_size=\"8471552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23360000\", alpha=\"0.03\", expect_size=\"9344000\"] \n  1 -> 2 [size =\"9344000\"]\n  2 [size=\"119703040\", alpha=\"0.13\", expect_size=\"47881216\"] \n  2 -> 3 [size =\"47881216\"]\n  3 [size=\"93987840\", alpha=\"0.14\", expect_size=\"37595136\"] \n  3 -> 4 [size =\"37595136\"]\n  4 [size=\"65062400\", alpha=\"0.09\", expect_size=\"26024960\"] \n  4 -> 5 [size =\"26024960\"]\n  5 [size=\"39383040\", alpha=\"0.20\", expect_size=\"15753216\"] \n  5 -> 6 [size =\"15753216\"]\n  6 [size=\"72880640\", alpha=\"0.18\", expect_size=\"29152256\"] \n  6 -> 7 [size =\"29152256\"]\n  7 [size=\"94036480\", alpha=\"0.19\", expect_size=\"37614592\"] \n  7 -> 8 [size =\"37614592\"]\n  8 [size=\"50022400\", alpha=\"0.13\", expect_size=\"20008960\"] \n  8 -> 9 [size =\"20008960\"]\n  9 [size=\"73802240\", alpha=\"0.08\", expect_size=\"29520896\"] \n  9 -> 10 [size =\"29520896\"]\n  10 [size=\"100979200\", alpha=\"0.09\", expect_size=\"40391680\"] \n  10 -> 11 [size =\"40391680\"]\n  11 [size=\"107473920\", alpha=\"0.01\", expect_size=\"42989568\"] \n  11 -> 12 [size =\"42989568\"]\n  12 [size=\"126681600\", alpha=\"0.02\", expect_size=\"50672640\"] \n  12 -> 13 [size =\"50672640\"]\n  13 [size=\"85539840\", alpha=\"0.09\", expect_size=\"34215936\"] \n  13 -> 14 [size =\"34215936\"]\n  14 [size=\"52600320\", alpha=\"0.14\", expect_size=\"21040128\"] \n  14 -> 15 [size =\"21040128\"]\n  15 [size=\"108149760\", alpha=\"0.10\", expect_size=\"43259904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134212267\", alpha=\"0.10\", expect_size=\"40263680\"] \n  1 -> 2 [size =\"40263680\"]\n  1 -> 3 [size =\"40263680\"]\n  2 [size=\"120606720\", alpha=\"0.20\", expect_size=\"36182016\"] \n  2 -> 4 [size =\"36182016\"]\n  3 [size=\"170001067\", alpha=\"0.15\", expect_size=\"51000320\"] \n  3 -> 4 [size =\"51000320\"]\n  3 -> 5 [size =\"51000320\"]\n  4 [size=\"152975360\", alpha=\"0.16\", expect_size=\"45892608\"] \n  4 -> 6 [size =\"45892608\"]\n  5 [size=\"132000427\", alpha=\"0.08\", expect_size=\"39600128\"] \n  5 -> 6 [size =\"39600128\"]\n  6 [size=\"123661653\", alpha=\"0.12\", expect_size=\"37098496\"] \n  6 -> 7 [size =\"37098496\"]\n  7 [size=\"173697707\", alpha=\"0.14\", expect_size=\"52109312\"] \n  7 -> 8 [size =\"52109312\"]\n  7 -> 9 [size =\"52109312\"]\n  8 [size=\"27473920\", alpha=\"0.10\", expect_size=\"8242176\"] \n  8 -> 10 [size =\"8242176\"]\n  8 -> 11 [size =\"8242176\"]\n  9 [size=\"64194560\", alpha=\"0.01\", expect_size=\"19258368\"] \n  9 -> 10 [size =\"19258368\"]\n  9 -> 11 [size =\"19258368\"]\n  10 [size=\"159440213\", alpha=\"0.07\", expect_size=\"47832064\"] \n  10 -> 12 [size =\"47832064\"]\n  10 -> 13 [size =\"47832064\"]\n  11 [size=\"42673493\", alpha=\"0.18\", expect_size=\"12802048\"] \n  11 -> 12 [size =\"12802048\"]\n  11 -> 13 [size =\"12802048\"]\n  12 [size=\"124429653\", alpha=\"0.19\", expect_size=\"37328896\"] \n  12 -> 14 [size =\"37328896\"]\n  13 [size=\"123385173\", alpha=\"0.12\", expect_size=\"37015552\"] \n  13 -> 14 [size =\"37015552\"]\n  14 [size=\"87958187\", alpha=\"0.18\", expect_size=\"26387456\"] \n  14 -> 15 [size =\"26387456\"]\n  15 [size=\"52705280\", alpha=\"0.17\", expect_size=\"15811584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49838080\", alpha=\"0.19\", expect_size=\"24919040\"] \n  1 -> 9 [size =\"24919040\"]\n  1 -> 11 [size =\"24919040\"]\n  1 -> 14 [size =\"24919040\"]\n  2 [size=\"48119808\", alpha=\"0.17\", expect_size=\"24059904\"] \n  2 -> 11 [size =\"24059904\"]\n  2 -> 11 [size =\"24059904\"]\n  2 -> 12 [size =\"24059904\"]\n  2 -> 14 [size =\"24059904\"]\n  3 [size=\"46993408\", alpha=\"0.08\", expect_size=\"23496704\"] \n  3 -> 10 [size =\"23496704\"]\n  4 [size=\"66338816\", alpha=\"0.12\", expect_size=\"33169408\"] \n  4 -> 10 [size =\"33169408\"]\n  4 -> 12 [size =\"33169408\"]\n  4 -> 13 [size =\"33169408\"]\n  5 [size=\"36272128\", alpha=\"0.08\", expect_size=\"18136064\"] \n  5 -> 9 [size =\"18136064\"]\n  5 -> 10 [size =\"18136064\"]\n  5 -> 14 [size =\"18136064\"]\n  6 [size=\"16463872\", alpha=\"0.15\", expect_size=\"8231936\"] \n  6 -> 11 [size =\"8231936\"]\n  6 -> 14 [size =\"8231936\"]\n  6 -> 14 [size =\"8231936\"]\n  7 [size=\"63983616\", alpha=\"0.15\", expect_size=\"31991808\"] \n  7 -> 10 [size =\"31991808\"]\n  7 -> 11 [size =\"31991808\"]\n  7 -> 12 [size =\"31991808\"]\n  7 -> 14 [size =\"31991808\"]\n  8 [size=\"67155968\", alpha=\"0.15\", expect_size=\"33577984\"] \n  8 -> 9 [size =\"33577984\"]\n  8 -> 11 [size =\"33577984\"]\n  8 -> 14 [size =\"33577984\"]\n  9 [size=\"82628608\", alpha=\"0.01\", expect_size=\"41314304\"] \n  9 -> 15 [size =\"41314304\"]\n  10 [size=\"65845248\", alpha=\"0.02\", expect_size=\"32922624\"] \n  10 -> 15 [size =\"32922624\"]\n  11 [size=\"104232960\", alpha=\"0.02\", expect_size=\"52116480\"] \n  11 -> 15 [size =\"52116480\"]\n  12 [size=\"101242880\", alpha=\"0.05\", expect_size=\"50621440\"] \n  12 -> 15 [size =\"50621440\"]\n  13 [size=\"86419456\", alpha=\"0.05\", expect_size=\"43209728\"] \n  13 -> 15 [size =\"43209728\"]\n  14 [size=\"27600896\", alpha=\"0.14\", expect_size=\"13800448\"] \n  14 -> 15 [size =\"13800448\"]\n  15 [size=\"86069248\", alpha=\"0.12\", expect_size=\"43034624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94081024\", alpha=\"0.16\", expect_size=\"47040512\"] \n  1 -> 13 [size =\"47040512\"]\n  1 -> 14 [size =\"47040512\"]\n  1 -> 15 [size =\"47040512\"]\n  2 [size=\"11001856\", alpha=\"0.07\", expect_size=\"5500928\"] \n  2 -> 13 [size =\"5500928\"]\n  2 -> 15 [size =\"5500928\"]\n  3 [size=\"97136640\", alpha=\"0.05\", expect_size=\"48568320\"] \n  3 -> 14 [size =\"48568320\"]\n  3 -> 15 [size =\"48568320\"]\n  4 [size=\"92770304\", alpha=\"0.05\", expect_size=\"46385152\"] \n  4 -> 13 [size =\"46385152\"]\n  4 -> 14 [size =\"46385152\"]\n  5 [size=\"11864064\", alpha=\"0.17\", expect_size=\"5932032\"] \n  5 -> 11 [size =\"5932032\"]\n  5 -> 13 [size =\"5932032\"]\n  5 -> 14 [size =\"5932032\"]\n  6 [size=\"77686784\", alpha=\"0.14\", expect_size=\"38843392\"] \n  6 -> 11 [size =\"38843392\"]\n  6 -> 12 [size =\"38843392\"]\n  6 -> 13 [size =\"38843392\"]\n  6 -> 14 [size =\"38843392\"]\n  6 -> 15 [size =\"38843392\"]\n  7 [size=\"51238912\", alpha=\"0.03\", expect_size=\"25619456\"] \n  7 -> 13 [size =\"25619456\"]\n  7 -> 14 [size =\"25619456\"]\n  8 [size=\"76089344\", alpha=\"0.13\", expect_size=\"38044672\"] \n  8 -> 12 [size =\"38044672\"]\n  9 [size=\"85833728\", alpha=\"0.14\", expect_size=\"42916864\"] \n  9 -> 11 [size =\"42916864\"]\n  9 -> 15 [size =\"42916864\"]\n  10 [size=\"32858112\", alpha=\"0.19\", expect_size=\"16429056\"] \n  10 -> 13 [size =\"16429056\"]\n  10 -> 14 [size =\"16429056\"]\n  11 [size=\"39454720\", alpha=\"0.17\", expect_size=\"19727360\"] \n  12 [size=\"18225152\", alpha=\"0.14\", expect_size=\"9112576\"] \n  13 [size=\"53567488\", alpha=\"0.12\", expect_size=\"26783744\"] \n  14 [size=\"78422016\", alpha=\"0.09\", expect_size=\"39211008\"] \n  15 [size=\"103137280\", alpha=\"0.07\", expect_size=\"51568640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57225216\", alpha=\"0.03\", expect_size=\"28612608\"] \n  1 -> 10 [size =\"28612608\"]\n  1 -> 12 [size =\"28612608\"]\n  1 -> 15 [size =\"28612608\"]\n  1 -> 15 [size =\"28612608\"]\n  2 [size=\"100343808\", alpha=\"0.19\", expect_size=\"50171904\"] \n  2 -> 12 [size =\"50171904\"]\n  3 [size=\"13815808\", alpha=\"0.16\", expect_size=\"6907904\"] \n  4 [size=\"76834816\", alpha=\"0.17\", expect_size=\"38417408\"] \n  4 -> 13 [size =\"38417408\"]\n  5 [size=\"58294272\", alpha=\"0.04\", expect_size=\"29147136\"] \n  5 -> 12 [size =\"29147136\"]\n  5 -> 13 [size =\"29147136\"]\n  6 [size=\"34177024\", alpha=\"0.10\", expect_size=\"17088512\"] \n  6 -> 12 [size =\"17088512\"]\n  6 -> 13 [size =\"17088512\"]\n  6 -> 15 [size =\"17088512\"]\n  7 [size=\"18872320\", alpha=\"0.01\", expect_size=\"9436160\"] \n  7 -> 12 [size =\"9436160\"]\n  7 -> 15 [size =\"9436160\"]\n  7 -> 15 [size =\"9436160\"]\n  8 [size=\"100313088\", alpha=\"0.02\", expect_size=\"50156544\"] \n  8 -> 10 [size =\"50156544\"]\n  8 -> 11 [size =\"50156544\"]\n  8 -> 12 [size =\"50156544\"]\n  8 -> 15 [size =\"50156544\"]\n  9 [size=\"79833088\", alpha=\"0.18\", expect_size=\"39916544\"] \n  9 -> 11 [size =\"39916544\"]\n  9 -> 12 [size =\"39916544\"]\n  9 -> 14 [size =\"39916544\"]\n  9 -> 15 [size =\"39916544\"]\n  10 [size=\"93943808\", alpha=\"0.18\", expect_size=\"46971904\"] \n  11 [size=\"37240832\", alpha=\"0.08\", expect_size=\"18620416\"] \n  12 [size=\"51075072\", alpha=\"0.09\", expect_size=\"25537536\"] \n  13 [size=\"48097280\", alpha=\"0.01\", expect_size=\"24048640\"] \n  14 [size=\"27971584\", alpha=\"0.04\", expect_size=\"13985792\"] \n  15 [size=\"15740928\", alpha=\"0.11\", expect_size=\"7870464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42923520\", alpha=\"0.05\", expect_size=\"17169408\"] \n  1 -> 2 [size =\"17169408\"]\n  2 [size=\"123601920\", alpha=\"0.14\", expect_size=\"49440768\"] \n  2 -> 3 [size =\"49440768\"]\n  3 [size=\"25497600\", alpha=\"0.14\", expect_size=\"10199040\"] \n  3 -> 4 [size =\"10199040\"]\n  4 [size=\"43868160\", alpha=\"0.13\", expect_size=\"17547264\"] \n  4 -> 5 [size =\"17547264\"]\n  5 [size=\"103700480\", alpha=\"0.10\", expect_size=\"41480192\"] \n  5 -> 6 [size =\"41480192\"]\n  6 [size=\"61872640\", alpha=\"0.04\", expect_size=\"24749056\"] \n  6 -> 7 [size =\"24749056\"]\n  7 [size=\"73341440\", alpha=\"0.15\", expect_size=\"29336576\"] \n  7 -> 8 [size =\"29336576\"]\n  8 [size=\"60339200\", alpha=\"0.16\", expect_size=\"24135680\"] \n  8 -> 9 [size =\"24135680\"]\n  9 [size=\"18032640\", alpha=\"0.12\", expect_size=\"7213056\"] \n  9 -> 10 [size =\"7213056\"]\n  10 [size=\"20500480\", alpha=\"0.11\", expect_size=\"8200192\"] \n  10 -> 11 [size =\"8200192\"]\n  11 [size=\"18455040\", alpha=\"0.02\", expect_size=\"7382016\"] \n  11 -> 12 [size =\"7382016\"]\n  12 [size=\"50416640\", alpha=\"0.19\", expect_size=\"20166656\"] \n  12 -> 13 [size =\"20166656\"]\n  13 [size=\"17763840\", alpha=\"0.18\", expect_size=\"7105536\"] \n  13 -> 14 [size =\"7105536\"]\n  14 [size=\"98170880\", alpha=\"0.09\", expect_size=\"39268352\"] \n  14 -> 15 [size =\"39268352\"]\n  15 [size=\"55631360\", alpha=\"0.10\", expect_size=\"22252544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45961216\", alpha=\"0.20\", expect_size=\"22980608\"] \n  1 -> 7 [size =\"22980608\"]\n  2 [size=\"23767040\", alpha=\"0.19\", expect_size=\"11883520\"] \n  2 -> 7 [size =\"11883520\"]\n  2 -> 8 [size =\"11883520\"]\n  2 -> 9 [size =\"11883520\"]\n  3 [size=\"40273920\", alpha=\"0.05\", expect_size=\"20136960\"] \n  3 -> 6 [size =\"20136960\"]\n  3 -> 7 [size =\"20136960\"]\n  3 -> 9 [size =\"20136960\"]\n  4 [size=\"16834560\", alpha=\"0.03\", expect_size=\"8417280\"] \n  4 -> 6 [size =\"8417280\"]\n  4 -> 9 [size =\"8417280\"]\n  5 [size=\"50089984\", alpha=\"0.06\", expect_size=\"25044992\"] \n  5 -> 6 [size =\"25044992\"]\n  6 [size=\"72114176\", alpha=\"0.04\", expect_size=\"36057088\"] \n  6 -> 10 [size =\"36057088\"]\n  6 -> 12 [size =\"36057088\"]\n  7 [size=\"43255808\", alpha=\"0.14\", expect_size=\"21627904\"] \n  8 [size=\"58230784\", alpha=\"0.03\", expect_size=\"29115392\"] \n  8 -> 11 [size =\"29115392\"]\n  8 -> 13 [size =\"29115392\"]\n  9 [size=\"32153600\", alpha=\"0.13\", expect_size=\"16076800\"] \n  9 -> 11 [size =\"16076800\"]\n  9 -> 13 [size =\"16076800\"]\n  10 [size=\"73388032\", alpha=\"0.17\", expect_size=\"36694016\"] \n  10 -> 14 [size =\"36694016\"]\n  11 [size=\"101128192\", alpha=\"0.03\", expect_size=\"50564096\"] \n  12 [size=\"100505600\", alpha=\"0.08\", expect_size=\"50252800\"] \n  13 [size=\"94347264\", alpha=\"0.05\", expect_size=\"47173632\"] \n  13 -> 15 [size =\"47173632\"]\n  14 [size=\"21694464\", alpha=\"0.04\", expect_size=\"10847232\"] \n  15 [size=\"37785600\", alpha=\"0.10\", expect_size=\"18892800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39747584\", alpha=\"0.05\", expect_size=\"19873792\"] \n  2 [size=\"83695616\", alpha=\"0.15\", expect_size=\"41847808\"] \n  3 [size=\"92262400\", alpha=\"0.07\", expect_size=\"46131200\"] \n  3 -> 14 [size =\"46131200\"]\n  4 [size=\"26750976\", alpha=\"0.14\", expect_size=\"13375488\"] \n  4 -> 14 [size =\"13375488\"]\n  5 [size=\"53299200\", alpha=\"0.16\", expect_size=\"26649600\"] \n  5 -> 15 [size =\"26649600\"]\n  6 [size=\"89149440\", alpha=\"0.10\", expect_size=\"44574720\"] \n  7 [size=\"59490304\", alpha=\"0.15\", expect_size=\"29745152\"] \n  7 -> 13 [size =\"29745152\"]\n  8 [size=\"74098688\", alpha=\"0.20\", expect_size=\"37049344\"] \n  9 [size=\"103727104\", alpha=\"0.19\", expect_size=\"51863552\"] \n  9 -> 14 [size =\"51863552\"]\n  10 [size=\"82300928\", alpha=\"0.12\", expect_size=\"41150464\"] \n  10 -> 15 [size =\"41150464\"]\n  11 [size=\"70637568\", alpha=\"0.11\", expect_size=\"35318784\"] \n  12 [size=\"94177280\", alpha=\"0.15\", expect_size=\"47088640\"] \n  12 -> 13 [size =\"47088640\"]\n  13 [size=\"69367808\", alpha=\"0.07\", expect_size=\"34683904\"] \n  14 [size=\"101634048\", alpha=\"0.18\", expect_size=\"50817024\"] \n  15 [size=\"71368704\", alpha=\"0.10\", expect_size=\"35684352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82346667\", alpha=\"0.12\", expect_size=\"24704000\"] \n  1 -> 12 [size =\"24704000\"]\n  2 [size=\"129771520\", alpha=\"0.06\", expect_size=\"38931456\"] \n  2 -> 14 [size =\"38931456\"]\n  3 [size=\"170588160\", alpha=\"0.17\", expect_size=\"51176448\"] \n  3 -> 15 [size =\"51176448\"]\n  4 [size=\"173410987\", alpha=\"0.06\", expect_size=\"52023296\"] \n  4 -> 13 [size =\"52023296\"]\n  5 [size=\"163962880\", alpha=\"0.13\", expect_size=\"49188864\"] \n  5 -> 13 [size =\"49188864\"]\n  5 -> 14 [size =\"49188864\"]\n  6 [size=\"152053760\", alpha=\"0.16\", expect_size=\"45616128\"] \n  6 -> 13 [size =\"45616128\"]\n  7 [size=\"42079573\", alpha=\"0.03\", expect_size=\"12623872\"] \n  7 -> 12 [size =\"12623872\"]\n  7 -> 13 [size =\"12623872\"]\n  8 [size=\"160204800\", alpha=\"0.19\", expect_size=\"48061440\"] \n  8 -> 12 [size =\"48061440\"]\n  9 [size=\"158590293\", alpha=\"0.02\", expect_size=\"47577088\"] \n  9 -> 12 [size =\"47577088\"]\n  9 -> 13 [size =\"47577088\"]\n  10 [size=\"155333973\", alpha=\"0.20\", expect_size=\"46600192\"] \n  10 -> 12 [size =\"46600192\"]\n  11 [size=\"29573120\", alpha=\"0.01\", expect_size=\"8871936\"] \n  11 -> 12 [size =\"8871936\"]\n  12 [size=\"126293333\", alpha=\"0.10\", expect_size=\"37888000\"] \n  13 [size=\"19991893\", alpha=\"0.05\", expect_size=\"5997568\"] \n  14 [size=\"154821973\", alpha=\"0.12\", expect_size=\"46446592\"] \n  15 [size=\"41345707\", alpha=\"0.02\", expect_size=\"12403712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30963712\", alpha=\"0.13\", expect_size=\"15481856\"] \n  1 -> 8 [size =\"15481856\"]\n  1 -> 9 [size =\"15481856\"]\n  2 [size=\"73000960\", alpha=\"0.12\", expect_size=\"36500480\"] \n  2 -> 8 [size =\"36500480\"]\n  2 -> 10 [size =\"36500480\"]\n  3 [size=\"99790848\", alpha=\"0.16\", expect_size=\"49895424\"] \n  3 -> 7 [size =\"49895424\"]\n  3 -> 9 [size =\"49895424\"]\n  3 -> 11 [size =\"49895424\"]\n  4 [size=\"23918592\", alpha=\"0.18\", expect_size=\"11959296\"] \n  4 -> 7 [size =\"11959296\"]\n  4 -> 8 [size =\"11959296\"]\n  5 [size=\"51406848\", alpha=\"0.08\", expect_size=\"25703424\"] \n  5 -> 8 [size =\"25703424\"]\n  5 -> 11 [size =\"25703424\"]\n  6 [size=\"56453120\", alpha=\"0.16\", expect_size=\"28226560\"] \n  6 -> 7 [size =\"28226560\"]\n  6 -> 10 [size =\"28226560\"]\n  6 -> 11 [size =\"28226560\"]\n  7 [size=\"14680064\", alpha=\"0.03\", expect_size=\"7340032\"] \n  7 -> 14 [size =\"7340032\"]\n  8 [size=\"20297728\", alpha=\"0.06\", expect_size=\"10148864\"] \n  8 -> 12 [size =\"10148864\"]\n  9 [size=\"89686016\", alpha=\"0.10\", expect_size=\"44843008\"] \n  9 -> 12 [size =\"44843008\"]\n  10 [size=\"43472896\", alpha=\"0.11\", expect_size=\"21736448\"] \n  10 -> 12 [size =\"21736448\"]\n  10 -> 14 [size =\"21736448\"]\n  10 -> 15 [size =\"21736448\"]\n  11 [size=\"45252608\", alpha=\"0.10\", expect_size=\"22626304\"] \n  11 -> 13 [size =\"22626304\"]\n  11 -> 14 [size =\"22626304\"]\n  12 [size=\"12859392\", alpha=\"0.19\", expect_size=\"6429696\"] \n  13 [size=\"68124672\", alpha=\"0.06\", expect_size=\"34062336\"] \n  14 [size=\"50792448\", alpha=\"0.04\", expect_size=\"25396224\"] \n  15 [size=\"42833920\", alpha=\"0.14\", expect_size=\"21416960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14328320\", alpha=\"0.12\", expect_size=\"5731328\"] \n  2 [size=\"119577600\", alpha=\"0.19\", expect_size=\"47831040\"] \n  2 -> 3 [size =\"47831040\"]\n  2 -> 4 [size =\"47831040\"]\n  3 [size=\"71459840\", alpha=\"0.17\", expect_size=\"28583936\"] \n  3 -> 5 [size =\"28583936\"]\n  3 -> 6 [size =\"28583936\"]\n  4 [size=\"58890240\", alpha=\"0.18\", expect_size=\"23556096\"] \n  4 -> 7 [size =\"23556096\"]\n  5 [size=\"68090880\", alpha=\"0.03\", expect_size=\"27236352\"] \n  5 -> 8 [size =\"27236352\"]\n  5 -> 9 [size =\"27236352\"]\n  6 [size=\"71055360\", alpha=\"0.11\", expect_size=\"28422144\"] \n  7 [size=\"56207360\", alpha=\"0.05\", expect_size=\"22482944\"] \n  7 -> 9 [size =\"22482944\"]\n  8 [size=\"71941120\", alpha=\"0.12\", expect_size=\"28776448\"] \n  8 -> 10 [size =\"28776448\"]\n  8 -> 11 [size =\"28776448\"]\n  9 [size=\"108293120\", alpha=\"0.04\", expect_size=\"43317248\"] \n  10 [size=\"32744960\", alpha=\"0.16\", expect_size=\"13097984\"] \n  10 -> 12 [size =\"13097984\"]\n  11 [size=\"78389760\", alpha=\"0.00\", expect_size=\"31355904\"] \n  11 -> 13 [size =\"31355904\"]\n  11 -> 14 [size =\"31355904\"]\n  12 [size=\"33351680\", alpha=\"0.13\", expect_size=\"13340672\"] \n  12 -> 15 [size =\"13340672\"]\n  13 [size=\"27169280\", alpha=\"0.01\", expect_size=\"10867712\"] \n  14 [size=\"128104960\", alpha=\"0.19\", expect_size=\"51241984\"] \n  15 [size=\"113533440\", alpha=\"0.09\", expect_size=\"45413376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57434112\", alpha=\"0.11\", expect_size=\"28717056\"] \n  1 -> 5 [size =\"28717056\"]\n  1 -> 8 [size =\"28717056\"]\n  1 -> 9 [size =\"28717056\"]\n  2 [size=\"67719168\", alpha=\"0.06\", expect_size=\"33859584\"] \n  2 -> 5 [size =\"33859584\"]\n  2 -> 7 [size =\"33859584\"]\n  3 [size=\"37367808\", alpha=\"0.19\", expect_size=\"18683904\"] \n  3 -> 5 [size =\"18683904\"]\n  3 -> 6 [size =\"18683904\"]\n  3 -> 7 [size =\"18683904\"]\n  4 [size=\"33822720\", alpha=\"0.18\", expect_size=\"16911360\"] \n  4 -> 9 [size =\"16911360\"]\n  4 -> 10 [size =\"16911360\"]\n  5 [size=\"36126720\", alpha=\"0.09\", expect_size=\"18063360\"] \n  5 -> 11 [size =\"18063360\"]\n  5 -> 12 [size =\"18063360\"]\n  5 -> 14 [size =\"18063360\"]\n  5 -> 15 [size =\"18063360\"]\n  6 [size=\"82159616\", alpha=\"0.02\", expect_size=\"41079808\"] \n  6 -> 12 [size =\"41079808\"]\n  6 -> 15 [size =\"41079808\"]\n  7 [size=\"82282496\", alpha=\"0.03\", expect_size=\"41141248\"] \n  8 [size=\"59711488\", alpha=\"0.13\", expect_size=\"29855744\"] \n  8 -> 11 [size =\"29855744\"]\n  8 -> 12 [size =\"29855744\"]\n  8 -> 13 [size =\"29855744\"]\n  9 [size=\"69021696\", alpha=\"0.05\", expect_size=\"34510848\"] \n  9 -> 11 [size =\"34510848\"]\n  9 -> 14 [size =\"34510848\"]\n  9 -> 15 [size =\"34510848\"]\n  10 [size=\"87150592\", alpha=\"0.19\", expect_size=\"43575296\"] \n  10 -> 11 [size =\"43575296\"]\n  10 -> 12 [size =\"43575296\"]\n  10 -> 14 [size =\"43575296\"]\n  10 -> 15 [size =\"43575296\"]\n  11 [size=\"14389248\", alpha=\"0.13\", expect_size=\"7194624\"] \n  12 [size=\"65308672\", alpha=\"0.05\", expect_size=\"32654336\"] \n  13 [size=\"94294016\", alpha=\"0.03\", expect_size=\"47147008\"] \n  14 [size=\"90853376\", alpha=\"0.15\", expect_size=\"45426688\"] \n  15 [size=\"79695872\", alpha=\"0.00\", expect_size=\"39847936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148131840\", alpha=\"0.02\", expect_size=\"44439552\"] \n  2 [size=\"92494507\", alpha=\"0.14\", expect_size=\"27748352\"] \n  3 [size=\"161092267\", alpha=\"0.09\", expect_size=\"48327680\"] \n  4 [size=\"61740373\", alpha=\"0.14\", expect_size=\"18522112\"] \n  5 [size=\"152432640\", alpha=\"0.02\", expect_size=\"45729792\"] \n  6 [size=\"90217813\", alpha=\"0.02\", expect_size=\"27065344\"] \n  6 -> 14 [size =\"27065344\"]\n  7 [size=\"53142187\", alpha=\"0.06\", expect_size=\"15942656\"] \n  8 [size=\"153746773\", alpha=\"0.05\", expect_size=\"46124032\"] \n  8 -> 15 [size =\"46124032\"]\n  9 [size=\"106127360\", alpha=\"0.17\", expect_size=\"31838208\"] \n  9 -> 15 [size =\"31838208\"]\n  10 [size=\"154890240\", alpha=\"0.12\", expect_size=\"46467072\"] \n  10 -> 14 [size =\"46467072\"]\n  11 [size=\"155351040\", alpha=\"0.04\", expect_size=\"46605312\"] \n  12 [size=\"168697173\", alpha=\"0.11\", expect_size=\"50609152\"] \n  12 -> 15 [size =\"50609152\"]\n  13 [size=\"118647467\", alpha=\"0.20\", expect_size=\"35594240\"] \n  13 -> 14 [size =\"35594240\"]\n  13 -> 15 [size =\"35594240\"]\n  14 [size=\"29030400\", alpha=\"0.01\", expect_size=\"8709120\"] \n  15 [size=\"137519787\", alpha=\"0.14\", expect_size=\"41255936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97969493\", alpha=\"0.17\", expect_size=\"29390848\"] \n  1 -> 14 [size =\"29390848\"]\n  2 [size=\"81879040\", alpha=\"0.15\", expect_size=\"24563712\"] \n  3 [size=\"88746667\", alpha=\"0.20\", expect_size=\"26624000\"] \n  4 [size=\"48841387\", alpha=\"0.02\", expect_size=\"14652416\"] \n  4 -> 14 [size =\"14652416\"]\n  4 -> 15 [size =\"14652416\"]\n  5 [size=\"112032427\", alpha=\"0.05\", expect_size=\"33609728\"] \n  5 -> 14 [size =\"33609728\"]\n  6 [size=\"167051947\", alpha=\"0.11\", expect_size=\"50115584\"] \n  7 [size=\"155842560\", alpha=\"0.00\", expect_size=\"46752768\"] \n  7 -> 14 [size =\"46752768\"]\n  8 [size=\"171717973\", alpha=\"0.10\", expect_size=\"51515392\"] \n  8 -> 14 [size =\"51515392\"]\n  9 [size=\"40403627\", alpha=\"0.13\", expect_size=\"12121088\"] \n  10 [size=\"121118720\", alpha=\"0.12\", expect_size=\"36335616\"] \n  11 [size=\"23821653\", alpha=\"0.03\", expect_size=\"7146496\"] \n  12 [size=\"157853013\", alpha=\"0.16\", expect_size=\"47355904\"] \n  13 [size=\"121838933\", alpha=\"0.17\", expect_size=\"36551680\"] \n  14 [size=\"119722667\", alpha=\"0.14\", expect_size=\"35916800\"] \n  15 [size=\"131700053\", alpha=\"0.18\", expect_size=\"39510016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62271488\", alpha=\"0.01\", expect_size=\"31135744\"] \n  1 -> 3 [size =\"31135744\"]\n  1 -> 4 [size =\"31135744\"]\n  2 [size=\"69126144\", alpha=\"0.02\", expect_size=\"34563072\"] \n  2 -> 3 [size =\"34563072\"]\n  3 [size=\"43511808\", alpha=\"0.07\", expect_size=\"21755904\"] \n  3 -> 5 [size =\"21755904\"]\n  3 -> 6 [size =\"21755904\"]\n  4 [size=\"20600832\", alpha=\"0.10\", expect_size=\"10300416\"] \n  4 -> 6 [size =\"10300416\"]\n  5 [size=\"60391424\", alpha=\"0.17\", expect_size=\"30195712\"] \n  5 -> 7 [size =\"30195712\"]\n  5 -> 8 [size =\"30195712\"]\n  6 [size=\"102356992\", alpha=\"0.02\", expect_size=\"51178496\"] \n  6 -> 7 [size =\"51178496\"]\n  6 -> 8 [size =\"51178496\"]\n  6 -> 9 [size =\"51178496\"]\n  7 [size=\"51529728\", alpha=\"0.20\", expect_size=\"25764864\"] \n  7 -> 10 [size =\"25764864\"]\n  8 [size=\"95045632\", alpha=\"0.00\", expect_size=\"47522816\"] \n  8 -> 10 [size =\"47522816\"]\n  8 -> 11 [size =\"47522816\"]\n  9 [size=\"83027968\", alpha=\"0.07\", expect_size=\"41513984\"] \n  9 -> 10 [size =\"41513984\"]\n  9 -> 12 [size =\"41513984\"]\n  10 [size=\"29947904\", alpha=\"0.06\", expect_size=\"14973952\"] \n  10 -> 14 [size =\"14973952\"]\n  11 [size=\"22429696\", alpha=\"0.11\", expect_size=\"11214848\"] \n  11 -> 14 [size =\"11214848\"]\n  11 -> 15 [size =\"11214848\"]\n  12 [size=\"24881152\", alpha=\"0.00\", expect_size=\"12440576\"] \n  12 -> 13 [size =\"12440576\"]\n  12 -> 14 [size =\"12440576\"]\n  13 [size=\"35008512\", alpha=\"0.06\", expect_size=\"17504256\"] \n  14 [size=\"67428352\", alpha=\"0.05\", expect_size=\"33714176\"] \n  15 [size=\"19628032\", alpha=\"0.04\", expect_size=\"9814016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103313920\", alpha=\"0.03\", expect_size=\"41325568\"] \n  1 -> 4 [size =\"41325568\"]\n  1 -> 5 [size =\"41325568\"]\n  2 [size=\"105523200\", alpha=\"0.19\", expect_size=\"42209280\"] \n  2 -> 4 [size =\"42209280\"]\n  3 [size=\"30080000\", alpha=\"0.16\", expect_size=\"12032000\"] \n  3 -> 4 [size =\"12032000\"]\n  4 [size=\"73999360\", alpha=\"0.10\", expect_size=\"29599744\"] \n  4 -> 6 [size =\"29599744\"]\n  5 [size=\"60679680\", alpha=\"0.00\", expect_size=\"24271872\"] \n  5 -> 6 [size =\"24271872\"]\n  5 -> 7 [size =\"24271872\"]\n  6 [size=\"80117760\", alpha=\"0.17\", expect_size=\"32047104\"] \n  6 -> 8 [size =\"32047104\"]\n  6 -> 9 [size =\"32047104\"]\n  7 [size=\"57699840\", alpha=\"0.08\", expect_size=\"23079936\"] \n  7 -> 8 [size =\"23079936\"]\n  7 -> 9 [size =\"23079936\"]\n  7 -> 10 [size =\"23079936\"]\n  8 [size=\"103759360\", alpha=\"0.12\", expect_size=\"41503744\"] \n  8 -> 11 [size =\"41503744\"]\n  8 -> 13 [size =\"41503744\"]\n  9 [size=\"128645120\", alpha=\"0.16\", expect_size=\"51458048\"] \n  9 -> 11 [size =\"51458048\"]\n  10 [size=\"15367680\", alpha=\"0.12\", expect_size=\"6147072\"] \n  10 -> 12 [size =\"6147072\"]\n  11 [size=\"116651520\", alpha=\"0.19\", expect_size=\"46660608\"] \n  11 -> 14 [size =\"46660608\"]\n  12 [size=\"14402560\", alpha=\"0.08\", expect_size=\"5761024\"] \n  13 [size=\"123758080\", alpha=\"0.06\", expect_size=\"49503232\"] \n  13 -> 15 [size =\"49503232\"]\n  14 [size=\"102789120\", alpha=\"0.13\", expect_size=\"41115648\"] \n  15 [size=\"45816320\", alpha=\"0.07\", expect_size=\"18326528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26978987\", alpha=\"0.16\", expect_size=\"8093696\"] \n  1 -> 7 [size =\"8093696\"]\n  1 -> 8 [size =\"8093696\"]\n  1 -> 9 [size =\"8093696\"]\n  1 -> 11 [size =\"8093696\"]\n  1 -> 12 [size =\"8093696\"]\n  2 [size=\"95668907\", alpha=\"0.05\", expect_size=\"28700672\"] \n  2 -> 7 [size =\"28700672\"]\n  2 -> 8 [size =\"28700672\"]\n  3 [size=\"90651307\", alpha=\"0.15\", expect_size=\"27195392\"] \n  3 -> 8 [size =\"27195392\"]\n  3 -> 9 [size =\"27195392\"]\n  3 -> 11 [size =\"27195392\"]\n  3 -> 12 [size =\"27195392\"]\n  4 [size=\"168693760\", alpha=\"0.16\", expect_size=\"50608128\"] \n  4 -> 9 [size =\"50608128\"]\n  4 -> 10 [size =\"50608128\"]\n  4 -> 11 [size =\"50608128\"]\n  5 [size=\"88770560\", alpha=\"0.01\", expect_size=\"26631168\"] \n  5 -> 7 [size =\"26631168\"]\n  5 -> 8 [size =\"26631168\"]\n  5 -> 9 [size =\"26631168\"]\n  5 -> 10 [size =\"26631168\"]\n  5 -> 12 [size =\"26631168\"]\n  6 [size=\"66399573\", alpha=\"0.04\", expect_size=\"19919872\"] \n  6 -> 7 [size =\"19919872\"]\n  6 -> 8 [size =\"19919872\"]\n  6 -> 10 [size =\"19919872\"]\n  6 -> 12 [size =\"19919872\"]\n  7 [size=\"127883947\", alpha=\"0.12\", expect_size=\"38365184\"] \n  7 -> 14 [size =\"38365184\"]\n  8 [size=\"153910613\", alpha=\"0.17\", expect_size=\"46173184\"] \n  8 -> 14 [size =\"46173184\"]\n  9 [size=\"126839467\", alpha=\"0.16\", expect_size=\"38051840\"] \n  10 [size=\"57412267\", alpha=\"0.15\", expect_size=\"17223680\"] \n  11 [size=\"160068267\", alpha=\"0.19\", expect_size=\"48020480\"] \n  11 -> 13 [size =\"48020480\"]\n  12 [size=\"130058240\", alpha=\"0.18\", expect_size=\"39017472\"] \n  12 -> 13 [size =\"39017472\"]\n  12 -> 15 [size =\"39017472\"]\n  13 [size=\"170127360\", alpha=\"0.08\", expect_size=\"51038208\"] \n  14 [size=\"132884480\", alpha=\"0.19\", expect_size=\"39865344\"] \n  15 [size=\"104577707\", alpha=\"0.03\", expect_size=\"31373312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19302400\", alpha=\"0.15\", expect_size=\"5790720\"] \n  1 -> 3 [size =\"5790720\"]\n  1 -> 4 [size =\"5790720\"]\n  2 [size=\"34836480\", alpha=\"0.17\", expect_size=\"10450944\"] \n  3 [size=\"27019947\", alpha=\"0.14\", expect_size=\"8105984\"] \n  3 -> 6 [size =\"8105984\"]\n  4 [size=\"80414720\", alpha=\"0.06\", expect_size=\"24124416\"] \n  4 -> 5 [size =\"24124416\"]\n  5 [size=\"161460907\", alpha=\"0.16\", expect_size=\"48438272\"] \n  5 -> 7 [size =\"48438272\"]\n  6 [size=\"112728747\", alpha=\"0.01\", expect_size=\"33818624\"] \n  7 [size=\"32474453\", alpha=\"0.19\", expect_size=\"9742336\"] \n  7 -> 8 [size =\"9742336\"]\n  7 -> 9 [size =\"9742336\"]\n  8 [size=\"127744000\", alpha=\"0.14\", expect_size=\"38323200\"] \n  9 [size=\"158781440\", alpha=\"0.19\", expect_size=\"47634432\"] \n  9 -> 10 [size =\"47634432\"]\n  10 [size=\"35324587\", alpha=\"0.07\", expect_size=\"10597376\"] \n  10 -> 11 [size =\"10597376\"]\n  11 [size=\"134345387\", alpha=\"0.08\", expect_size=\"40303616\"] \n  11 -> 12 [size =\"40303616\"]\n  12 [size=\"96273067\", alpha=\"0.14\", expect_size=\"28881920\"] \n  12 -> 13 [size =\"28881920\"]\n  13 [size=\"75069440\", alpha=\"0.16\", expect_size=\"22520832\"] \n  13 -> 14 [size =\"22520832\"]\n  13 -> 15 [size =\"22520832\"]\n  14 [size=\"26108587\", alpha=\"0.02\", expect_size=\"7832576\"] \n  15 [size=\"73294507\", alpha=\"0.19\", expect_size=\"21988352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16119808\", alpha=\"0.16\", expect_size=\"8059904\"] \n  1 -> 3 [size =\"8059904\"]\n  2 [size=\"37244928\", alpha=\"0.12\", expect_size=\"18622464\"] \n  2 -> 3 [size =\"18622464\"]\n  3 [size=\"17491968\", alpha=\"0.19\", expect_size=\"8745984\"] \n  3 -> 4 [size =\"8745984\"]\n  4 [size=\"96122880\", alpha=\"0.02\", expect_size=\"48061440\"] \n  4 -> 5 [size =\"48061440\"]\n  5 [size=\"36175872\", alpha=\"0.03\", expect_size=\"18087936\"] \n  5 -> 6 [size =\"18087936\"]\n  5 -> 7 [size =\"18087936\"]\n  6 [size=\"101183488\", alpha=\"0.00\", expect_size=\"50591744\"] \n  7 [size=\"29216768\", alpha=\"0.03\", expect_size=\"14608384\"] \n  7 -> 8 [size =\"14608384\"]\n  8 [size=\"63113216\", alpha=\"0.02\", expect_size=\"31556608\"] \n  8 -> 9 [size =\"31556608\"]\n  9 [size=\"80818176\", alpha=\"0.14\", expect_size=\"40409088\"] \n  9 -> 10 [size =\"40409088\"]\n  9 -> 11 [size =\"40409088\"]\n  10 [size=\"30877696\", alpha=\"0.15\", expect_size=\"15438848\"] \n  10 -> 12 [size =\"15438848\"]\n  11 [size=\"21790720\", alpha=\"0.19\", expect_size=\"10895360\"] \n  12 [size=\"95205376\", alpha=\"0.07\", expect_size=\"47602688\"] \n  12 -> 13 [size =\"47602688\"]\n  13 [size=\"58361856\", alpha=\"0.02\", expect_size=\"29180928\"] \n  13 -> 14 [size =\"29180928\"]\n  14 [size=\"54151168\", alpha=\"0.08\", expect_size=\"27075584\"] \n  14 -> 15 [size =\"27075584\"]\n  15 [size=\"62005248\", alpha=\"0.19\", expect_size=\"31002624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77240320\", alpha=\"0.03\", expect_size=\"38620160\"] \n  1 -> 2 [size =\"38620160\"]\n  2 [size=\"54493184\", alpha=\"0.02\", expect_size=\"27246592\"] \n  2 -> 3 [size =\"27246592\"]\n  3 [size=\"59830272\", alpha=\"0.17\", expect_size=\"29915136\"] \n  3 -> 4 [size =\"29915136\"]\n  4 [size=\"33140736\", alpha=\"0.12\", expect_size=\"16570368\"] \n  4 -> 5 [size =\"16570368\"]\n  5 [size=\"44718080\", alpha=\"0.03\", expect_size=\"22359040\"] \n  5 -> 6 [size =\"22359040\"]\n  6 [size=\"99543040\", alpha=\"0.13\", expect_size=\"49771520\"] \n  6 -> 7 [size =\"49771520\"]\n  7 [size=\"96479232\", alpha=\"0.19\", expect_size=\"48239616\"] \n  7 -> 8 [size =\"48239616\"]\n  8 [size=\"14661632\", alpha=\"0.13\", expect_size=\"7330816\"] \n  8 -> 9 [size =\"7330816\"]\n  9 [size=\"22822912\", alpha=\"0.14\", expect_size=\"11411456\"] \n  9 -> 10 [size =\"11411456\"]\n  10 [size=\"44836864\", alpha=\"0.10\", expect_size=\"22418432\"] \n  10 -> 11 [size =\"22418432\"]\n  11 [size=\"22964224\", alpha=\"0.16\", expect_size=\"11482112\"] \n  11 -> 12 [size =\"11482112\"]\n  12 [size=\"36814848\", alpha=\"0.17\", expect_size=\"18407424\"] \n  12 -> 13 [size =\"18407424\"]\n  13 [size=\"47253504\", alpha=\"0.02\", expect_size=\"23626752\"] \n  13 -> 14 [size =\"23626752\"]\n  14 [size=\"31983616\", alpha=\"0.12\", expect_size=\"15991808\"] \n  14 -> 15 [size =\"15991808\"]\n  15 [size=\"88832000\", alpha=\"0.02\", expect_size=\"44416000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21972480\", alpha=\"0.03\", expect_size=\"8788992\"] \n  1 -> 14 [size =\"8788992\"]\n  2 [size=\"22236160\", alpha=\"0.16\", expect_size=\"8894464\"] \n  2 -> 15 [size =\"8894464\"]\n  3 [size=\"95756800\", alpha=\"0.11\", expect_size=\"38302720\"] \n  4 [size=\"20277760\", alpha=\"0.09\", expect_size=\"8111104\"] \n  4 -> 14 [size =\"8111104\"]\n  5 [size=\"102264320\", alpha=\"0.03\", expect_size=\"40905728\"] \n  6 [size=\"34388480\", alpha=\"0.18\", expect_size=\"13755392\"] \n  7 [size=\"43937280\", alpha=\"0.03\", expect_size=\"17574912\"] \n  7 -> 12 [size =\"17574912\"]\n  8 [size=\"82408960\", alpha=\"0.20\", expect_size=\"32963584\"] \n  8 -> 14 [size =\"32963584\"]\n  8 -> 15 [size =\"32963584\"]\n  9 [size=\"75658240\", alpha=\"0.13\", expect_size=\"30263296\"] \n  9 -> 13 [size =\"30263296\"]\n  9 -> 14 [size =\"30263296\"]\n  10 [size=\"48785920\", alpha=\"0.08\", expect_size=\"19514368\"] \n  10 -> 13 [size =\"19514368\"]\n  10 -> 14 [size =\"19514368\"]\n  11 [size=\"83220480\", alpha=\"0.11\", expect_size=\"33288192\"] \n  11 -> 13 [size =\"33288192\"]\n  11 -> 14 [size =\"33288192\"]\n  12 [size=\"103057920\", alpha=\"0.09\", expect_size=\"41223168\"] \n  13 [size=\"81840640\", alpha=\"0.02\", expect_size=\"32736256\"] \n  14 [size=\"31365120\", alpha=\"0.05\", expect_size=\"12546048\"] \n  15 [size=\"81566720\", alpha=\"0.08\", expect_size=\"32626688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13291520\", alpha=\"0.02\", expect_size=\"6645760\"] \n  1 -> 7 [size =\"6645760\"]\n  2 [size=\"95651840\", alpha=\"0.16\", expect_size=\"47825920\"] \n  2 -> 6 [size =\"47825920\"]\n  2 -> 7 [size =\"47825920\"]\n  2 -> 8 [size =\"47825920\"]\n  3 [size=\"65394688\", alpha=\"0.09\", expect_size=\"32697344\"] \n  3 -> 6 [size =\"32697344\"]\n  3 -> 7 [size =\"32697344\"]\n  3 -> 8 [size =\"32697344\"]\n  4 [size=\"59389952\", alpha=\"0.01\", expect_size=\"29694976\"] \n  4 -> 6 [size =\"29694976\"]\n  4 -> 8 [size =\"29694976\"]\n  4 -> 9 [size =\"29694976\"]\n  5 [size=\"11081728\", alpha=\"0.15\", expect_size=\"5540864\"] \n  5 -> 6 [size =\"5540864\"]\n  5 -> 7 [size =\"5540864\"]\n  5 -> 8 [size =\"5540864\"]\n  6 [size=\"28114944\", alpha=\"0.15\", expect_size=\"14057472\"] \n  6 -> 10 [size =\"14057472\"]\n  6 -> 11 [size =\"14057472\"]\n  6 -> 12 [size =\"14057472\"]\n  6 -> 13 [size =\"14057472\"]\n  7 [size=\"60411904\", alpha=\"0.03\", expect_size=\"30205952\"] \n  7 -> 12 [size =\"30205952\"]\n  7 -> 13 [size =\"30205952\"]\n  8 [size=\"51095552\", alpha=\"0.03\", expect_size=\"25547776\"] \n  8 -> 10 [size =\"25547776\"]\n  8 -> 12 [size =\"25547776\"]\n  8 -> 13 [size =\"25547776\"]\n  9 [size=\"41162752\", alpha=\"0.08\", expect_size=\"20581376\"] \n  9 -> 12 [size =\"20581376\"]\n  9 -> 13 [size =\"20581376\"]\n  10 [size=\"85688320\", alpha=\"0.12\", expect_size=\"42844160\"] \n  10 -> 15 [size =\"42844160\"]\n  11 [size=\"15607808\", alpha=\"0.12\", expect_size=\"7803904\"] \n  11 -> 14 [size =\"7803904\"]\n  11 -> 15 [size =\"7803904\"]\n  12 [size=\"25292800\", alpha=\"0.18\", expect_size=\"12646400\"] \n  12 -> 15 [size =\"12646400\"]\n  13 [size=\"101410816\", alpha=\"0.05\", expect_size=\"50705408\"] \n  13 -> 15 [size =\"50705408\"]\n  14 [size=\"51240960\", alpha=\"0.00\", expect_size=\"25620480\"] \n  15 [size=\"55265280\", alpha=\"0.04\", expect_size=\"27632640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169888427\", alpha=\"0.15\", expect_size=\"50966528\"] \n  1 -> 2 [size =\"50966528\"]\n  2 [size=\"116630187\", alpha=\"0.01\", expect_size=\"34989056\"] \n  2 -> 3 [size =\"34989056\"]\n  3 [size=\"151811413\", alpha=\"0.11\", expect_size=\"45543424\"] \n  3 -> 4 [size =\"45543424\"]\n  4 [size=\"115715413\", alpha=\"0.17\", expect_size=\"34714624\"] \n  4 -> 5 [size =\"34714624\"]\n  5 [size=\"24395093\", alpha=\"0.01\", expect_size=\"7318528\"] \n  5 -> 6 [size =\"7318528\"]\n  6 [size=\"40994133\", alpha=\"0.10\", expect_size=\"12298240\"] \n  6 -> 7 [size =\"12298240\"]\n  7 [size=\"85807787\", alpha=\"0.08\", expect_size=\"25742336\"] \n  7 -> 8 [size =\"25742336\"]\n  8 [size=\"158126080\", alpha=\"0.08\", expect_size=\"47437824\"] \n  8 -> 9 [size =\"47437824\"]\n  9 [size=\"145797120\", alpha=\"0.00\", expect_size=\"43739136\"] \n  9 -> 10 [size =\"43739136\"]\n  10 [size=\"99764907\", alpha=\"0.03\", expect_size=\"29929472\"] \n  10 -> 11 [size =\"29929472\"]\n  11 [size=\"55903573\", alpha=\"0.11\", expect_size=\"16771072\"] \n  11 -> 12 [size =\"16771072\"]\n  12 [size=\"171717973\", alpha=\"0.01\", expect_size=\"51515392\"] \n  12 -> 13 [size =\"51515392\"]\n  13 [size=\"22234453\", alpha=\"0.10\", expect_size=\"6670336\"] \n  13 -> 14 [size =\"6670336\"]\n  14 [size=\"112005120\", alpha=\"0.08\", expect_size=\"33601536\"] \n  14 -> 15 [size =\"33601536\"]\n  15 [size=\"91248640\", alpha=\"0.09\", expect_size=\"27374592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59361280\", alpha=\"0.05\", expect_size=\"23744512\"] \n  1 -> 13 [size =\"23744512\"]\n  2 [size=\"119720960\", alpha=\"0.12\", expect_size=\"47888384\"] \n  2 -> 14 [size =\"47888384\"]\n  2 -> 15 [size =\"47888384\"]\n  3 [size=\"76280320\", alpha=\"0.03\", expect_size=\"30512128\"] \n  3 -> 15 [size =\"30512128\"]\n  3 -> 15 [size =\"30512128\"]\n  4 [size=\"76190720\", alpha=\"0.05\", expect_size=\"30476288\"] \n  4 -> 14 [size =\"30476288\"]\n  4 -> 15 [size =\"30476288\"]\n  5 [size=\"37736960\", alpha=\"0.05\", expect_size=\"15094784\"] \n  5 -> 12 [size =\"15094784\"]\n  5 -> 13 [size =\"15094784\"]\n  5 -> 14 [size =\"15094784\"]\n  5 -> 15 [size =\"15094784\"]\n  6 [size=\"103976960\", alpha=\"0.07\", expect_size=\"41590784\"] \n  6 -> 13 [size =\"41590784\"]\n  6 -> 14 [size =\"41590784\"]\n  7 [size=\"95795200\", alpha=\"0.17\", expect_size=\"38318080\"] \n  7 -> 12 [size =\"38318080\"]\n  8 [size=\"50972160\", alpha=\"0.17\", expect_size=\"20388864\"] \n  8 -> 14 [size =\"20388864\"]\n  8 -> 15 [size =\"20388864\"]\n  9 [size=\"107146240\", alpha=\"0.05\", expect_size=\"42858496\"] \n  9 -> 12 [size =\"42858496\"]\n  10 [size=\"36185600\", alpha=\"0.03\", expect_size=\"14474240\"] \n  10 -> 12 [size =\"14474240\"]\n  10 -> 13 [size =\"14474240\"]\n  11 [size=\"127308800\", alpha=\"0.04\", expect_size=\"50923520\"] \n  11 -> 12 [size =\"50923520\"]\n  11 -> 13 [size =\"50923520\"]\n  12 [size=\"41748480\", alpha=\"0.15\", expect_size=\"16699392\"] \n  13 [size=\"111703040\", alpha=\"0.08\", expect_size=\"44681216\"] \n  14 [size=\"127275520\", alpha=\"0.09\", expect_size=\"50910208\"] \n  15 [size=\"37591040\", alpha=\"0.17\", expect_size=\"15036416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78112768\", alpha=\"0.07\", expect_size=\"39056384\"] \n  1 -> 5 [size =\"39056384\"]\n  1 -> 6 [size =\"39056384\"]\n  1 -> 7 [size =\"39056384\"]\n  2 [size=\"44132352\", alpha=\"0.14\", expect_size=\"22066176\"] \n  2 -> 5 [size =\"22066176\"]\n  2 -> 8 [size =\"22066176\"]\n  3 [size=\"57651200\", alpha=\"0.14\", expect_size=\"28825600\"] \n  4 [size=\"73957376\", alpha=\"0.02\", expect_size=\"36978688\"] \n  4 -> 7 [size =\"36978688\"]\n  5 [size=\"21886976\", alpha=\"0.07\", expect_size=\"10943488\"] \n  5 -> 9 [size =\"10943488\"]\n  5 -> 10 [size =\"10943488\"]\n  5 -> 13 [size =\"10943488\"]\n  6 [size=\"44021760\", alpha=\"0.05\", expect_size=\"22010880\"] \n  6 -> 14 [size =\"22010880\"]\n  7 [size=\"48130048\", alpha=\"0.10\", expect_size=\"24065024\"] \n  7 -> 9 [size =\"24065024\"]\n  7 -> 11 [size =\"24065024\"]\n  7 -> 12 [size =\"24065024\"]\n  7 -> 13 [size =\"24065024\"]\n  8 [size=\"97845248\", alpha=\"0.11\", expect_size=\"48922624\"] \n  8 -> 9 [size =\"48922624\"]\n  8 -> 10 [size =\"48922624\"]\n  9 [size=\"40691712\", alpha=\"0.11\", expect_size=\"20345856\"] \n  9 -> 15 [size =\"20345856\"]\n  10 [size=\"55552000\", alpha=\"0.03\", expect_size=\"27776000\"] \n  11 [size=\"73621504\", alpha=\"0.20\", expect_size=\"36810752\"] \n  12 [size=\"10967040\", alpha=\"0.01\", expect_size=\"5483520\"] \n  12 -> 15 [size =\"5483520\"]\n  13 [size=\"78708736\", alpha=\"0.02\", expect_size=\"39354368\"] \n  13 -> 15 [size =\"39354368\"]\n  14 [size=\"49295360\", alpha=\"0.03\", expect_size=\"24647680\"] \n  15 [size=\"58916864\", alpha=\"0.03\", expect_size=\"29458432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36139008\", alpha=\"0.13\", expect_size=\"18069504\"] \n  1 -> 4 [size =\"18069504\"]\n  2 [size=\"40517632\", alpha=\"0.17\", expect_size=\"20258816\"] \n  2 -> 4 [size =\"20258816\"]\n  2 -> 5 [size =\"20258816\"]\n  2 -> 6 [size =\"20258816\"]\n  3 [size=\"46397440\", alpha=\"0.14\", expect_size=\"23198720\"] \n  3 -> 4 [size =\"23198720\"]\n  3 -> 5 [size =\"23198720\"]\n  3 -> 6 [size =\"23198720\"]\n  4 [size=\"86505472\", alpha=\"0.06\", expect_size=\"43252736\"] \n  4 -> 7 [size =\"43252736\"]\n  4 -> 8 [size =\"43252736\"]\n  5 [size=\"95535104\", alpha=\"0.17\", expect_size=\"47767552\"] \n  5 -> 7 [size =\"47767552\"]\n  5 -> 8 [size =\"47767552\"]\n  6 [size=\"16977920\", alpha=\"0.01\", expect_size=\"8488960\"] \n  6 -> 7 [size =\"8488960\"]\n  6 -> 8 [size =\"8488960\"]\n  7 [size=\"14313472\", alpha=\"0.14\", expect_size=\"7156736\"] \n  7 -> 9 [size =\"7156736\"]\n  7 -> 10 [size =\"7156736\"]\n  8 [size=\"40982528\", alpha=\"0.06\", expect_size=\"20491264\"] \n  8 -> 9 [size =\"20491264\"]\n  8 -> 10 [size =\"20491264\"]\n  9 [size=\"20881408\", alpha=\"0.18\", expect_size=\"10440704\"] \n  9 -> 11 [size =\"10440704\"]\n  9 -> 12 [size =\"10440704\"]\n  9 -> 13 [size =\"10440704\"]\n  10 [size=\"67551232\", alpha=\"0.11\", expect_size=\"33775616\"] \n  10 -> 11 [size =\"33775616\"]\n  10 -> 12 [size =\"33775616\"]\n  11 [size=\"52613120\", alpha=\"0.04\", expect_size=\"26306560\"] \n  11 -> 14 [size =\"26306560\"]\n  11 -> 15 [size =\"26306560\"]\n  12 [size=\"18810880\", alpha=\"0.07\", expect_size=\"9405440\"] \n  12 -> 14 [size =\"9405440\"]\n  12 -> 15 [size =\"9405440\"]\n  13 [size=\"99270656\", alpha=\"0.14\", expect_size=\"49635328\"] \n  13 -> 14 [size =\"49635328\"]\n  13 -> 15 [size =\"49635328\"]\n  14 [size=\"69492736\", alpha=\"0.06\", expect_size=\"34746368\"] \n  15 [size=\"96806912\", alpha=\"0.19\", expect_size=\"48403456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111366827\", alpha=\"0.00\", expect_size=\"33410048\"] \n  2 [size=\"140151467\", alpha=\"0.15\", expect_size=\"42045440\"] \n  3 [size=\"56596480\", alpha=\"0.03\", expect_size=\"16978944\"] \n  4 [size=\"123105280\", alpha=\"0.19\", expect_size=\"36931584\"] \n  5 [size=\"121603413\", alpha=\"0.09\", expect_size=\"36481024\"] \n  5 -> 15 [size =\"36481024\"]\n  6 [size=\"66440533\", alpha=\"0.20\", expect_size=\"19932160\"] \n  7 [size=\"170181973\", alpha=\"0.03\", expect_size=\"51054592\"] \n  8 [size=\"61798400\", alpha=\"0.15\", expect_size=\"18539520\"] \n  9 [size=\"113053013\", alpha=\"0.01\", expect_size=\"33915904\"] \n  9 -> 14 [size =\"33915904\"]\n  10 [size=\"161648640\", alpha=\"0.18\", expect_size=\"48494592\"] \n  11 [size=\"70096213\", alpha=\"0.15\", expect_size=\"21028864\"] \n  12 [size=\"70539947\", alpha=\"0.04\", expect_size=\"21161984\"] \n  13 [size=\"33382400\", alpha=\"0.04\", expect_size=\"10014720\"] \n  14 [size=\"58391893\", alpha=\"0.18\", expect_size=\"17517568\"] \n  15 [size=\"48046080\", alpha=\"0.02\", expect_size=\"14413824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53716992\", alpha=\"0.04\", expect_size=\"26858496\"] \n  1 -> 7 [size =\"26858496\"]\n  1 -> 10 [size =\"26858496\"]\n  1 -> 12 [size =\"26858496\"]\n  1 -> 13 [size =\"26858496\"]\n  2 [size=\"77690880\", alpha=\"0.17\", expect_size=\"38845440\"] \n  2 -> 13 [size =\"38845440\"]\n  3 [size=\"72032256\", alpha=\"0.20\", expect_size=\"36016128\"] \n  3 -> 8 [size =\"36016128\"]\n  4 [size=\"102952960\", alpha=\"0.03\", expect_size=\"51476480\"] \n  4 -> 11 [size =\"51476480\"]\n  5 [size=\"70569984\", alpha=\"0.07\", expect_size=\"35284992\"] \n  5 -> 9 [size =\"35284992\"]\n  5 -> 13 [size =\"35284992\"]\n  6 [size=\"73250816\", alpha=\"0.12\", expect_size=\"36625408\"] \n  6 -> 7 [size =\"36625408\"]\n  6 -> 8 [size =\"36625408\"]\n  6 -> 10 [size =\"36625408\"]\n  6 -> 12 [size =\"36625408\"]\n  7 [size=\"36409344\", alpha=\"0.00\", expect_size=\"18204672\"] \n  7 -> 15 [size =\"18204672\"]\n  8 [size=\"99708928\", alpha=\"0.00\", expect_size=\"49854464\"] \n  8 -> 14 [size =\"49854464\"]\n  8 -> 15 [size =\"49854464\"]\n  9 [size=\"66035712\", alpha=\"0.01\", expect_size=\"33017856\"] \n  9 -> 14 [size =\"33017856\"]\n  10 [size=\"15583232\", alpha=\"0.16\", expect_size=\"7791616\"] \n  10 -> 14 [size =\"7791616\"]\n  10 -> 15 [size =\"7791616\"]\n  11 [size=\"81698816\", alpha=\"0.03\", expect_size=\"40849408\"] \n  12 [size=\"102430720\", alpha=\"0.00\", expect_size=\"51215360\"] \n  12 -> 14 [size =\"51215360\"]\n  13 [size=\"88983552\", alpha=\"0.04\", expect_size=\"44491776\"] \n  14 [size=\"88311808\", alpha=\"0.04\", expect_size=\"44155904\"] \n  15 [size=\"101748736\", alpha=\"0.01\", expect_size=\"50874368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25811627\", alpha=\"0.17\", expect_size=\"7743488\"] \n  1 -> 2 [size =\"7743488\"]\n  2 [size=\"25088000\", alpha=\"0.05\", expect_size=\"7526400\"] \n  2 -> 3 [size =\"7526400\"]\n  3 [size=\"155866453\", alpha=\"0.05\", expect_size=\"46759936\"] \n  3 -> 4 [size =\"46759936\"]\n  4 [size=\"159211520\", alpha=\"0.19\", expect_size=\"47763456\"] \n  4 -> 5 [size =\"47763456\"]\n  5 [size=\"170977280\", alpha=\"0.03\", expect_size=\"51293184\"] \n  5 -> 6 [size =\"51293184\"]\n  6 [size=\"140499627\", alpha=\"0.05\", expect_size=\"42149888\"] \n  6 -> 7 [size =\"42149888\"]\n  7 [size=\"109926400\", alpha=\"0.19\", expect_size=\"32977920\"] \n  7 -> 8 [size =\"32977920\"]\n  8 [size=\"135256747\", alpha=\"0.18\", expect_size=\"40577024\"] \n  8 -> 9 [size =\"40577024\"]\n  9 [size=\"130249387\", alpha=\"0.12\", expect_size=\"39074816\"] \n  9 -> 10 [size =\"39074816\"]\n  10 [size=\"101352107\", alpha=\"0.15\", expect_size=\"30405632\"] \n  10 -> 11 [size =\"30405632\"]\n  11 [size=\"121033387\", alpha=\"0.19\", expect_size=\"36310016\"] \n  11 -> 12 [size =\"36310016\"]\n  12 [size=\"99723947\", alpha=\"0.11\", expect_size=\"29917184\"] \n  12 -> 13 [size =\"29917184\"]\n  13 [size=\"139960320\", alpha=\"0.00\", expect_size=\"41988096\"] \n  13 -> 14 [size =\"41988096\"]\n  14 [size=\"23715840\", alpha=\"0.04\", expect_size=\"7114752\"] \n  14 -> 15 [size =\"7114752\"]\n  15 [size=\"171632640\", alpha=\"0.02\", expect_size=\"51489792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69708800\", alpha=\"0.18\", expect_size=\"27883520\"] \n  1 -> 2 [size =\"27883520\"]\n  2 [size=\"124426240\", alpha=\"0.08\", expect_size=\"49770496\"] \n  2 -> 3 [size =\"49770496\"]\n  3 [size=\"130910720\", alpha=\"0.00\", expect_size=\"52364288\"] \n  3 -> 4 [size =\"52364288\"]\n  4 [size=\"116014080\", alpha=\"0.17\", expect_size=\"46405632\"] \n  4 -> 5 [size =\"46405632\"]\n  5 [size=\"117030400\", alpha=\"0.16\", expect_size=\"46812160\"] \n  5 -> 6 [size =\"46812160\"]\n  6 [size=\"16716800\", alpha=\"0.14\", expect_size=\"6686720\"] \n  6 -> 7 [size =\"6686720\"]\n  7 [size=\"65510400\", alpha=\"0.16\", expect_size=\"26204160\"] \n  7 -> 8 [size =\"26204160\"]\n  8 [size=\"19025920\", alpha=\"0.17\", expect_size=\"7610368\"] \n  8 -> 9 [size =\"7610368\"]\n  9 [size=\"28828160\", alpha=\"0.01\", expect_size=\"11531264\"] \n  9 -> 10 [size =\"11531264\"]\n  10 [size=\"45913600\", alpha=\"0.06\", expect_size=\"18365440\"] \n  10 -> 11 [size =\"18365440\"]\n  11 [size=\"118361600\", alpha=\"0.08\", expect_size=\"47344640\"] \n  11 -> 12 [size =\"47344640\"]\n  12 [size=\"106583040\", alpha=\"0.17\", expect_size=\"42633216\"] \n  12 -> 13 [size =\"42633216\"]\n  13 [size=\"36892160\", alpha=\"0.14\", expect_size=\"14756864\"] \n  13 -> 14 [size =\"14756864\"]\n  14 [size=\"38522880\", alpha=\"0.17\", expect_size=\"15409152\"] \n  14 -> 15 [size =\"15409152\"]\n  15 [size=\"23541760\", alpha=\"0.00\", expect_size=\"9416704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55160832\", alpha=\"0.18\", expect_size=\"27580416\"] \n  1 -> 5 [size =\"27580416\"]\n  2 [size=\"21993472\", alpha=\"0.13\", expect_size=\"10996736\"] \n  2 -> 5 [size =\"10996736\"]\n  2 -> 7 [size =\"10996736\"]\n  2 -> 8 [size =\"10996736\"]\n  3 [size=\"32403456\", alpha=\"0.08\", expect_size=\"16201728\"] \n  3 -> 6 [size =\"16201728\"]\n  3 -> 7 [size =\"16201728\"]\n  3 -> 8 [size =\"16201728\"]\n  4 [size=\"43073536\", alpha=\"0.18\", expect_size=\"21536768\"] \n  4 -> 5 [size =\"21536768\"]\n  4 -> 6 [size =\"21536768\"]\n  4 -> 8 [size =\"21536768\"]\n  5 [size=\"49227776\", alpha=\"0.06\", expect_size=\"24613888\"] \n  5 -> 9 [size =\"24613888\"]\n  5 -> 12 [size =\"24613888\"]\n  5 -> 13 [size =\"24613888\"]\n  6 [size=\"36388864\", alpha=\"0.02\", expect_size=\"18194432\"] \n  6 -> 9 [size =\"18194432\"]\n  6 -> 12 [size =\"18194432\"]\n  7 [size=\"83322880\", alpha=\"0.06\", expect_size=\"41661440\"] \n  7 -> 10 [size =\"41661440\"]\n  7 -> 11 [size =\"41661440\"]\n  7 -> 14 [size =\"41661440\"]\n  8 [size=\"19566592\", alpha=\"0.05\", expect_size=\"9783296\"] \n  8 -> 12 [size =\"9783296\"]\n  8 -> 13 [size =\"9783296\"]\n  8 -> 14 [size =\"9783296\"]\n  9 [size=\"86108160\", alpha=\"0.15\", expect_size=\"43054080\"] \n  10 [size=\"10969088\", alpha=\"0.05\", expect_size=\"5484544\"] \n  10 -> 15 [size =\"5484544\"]\n  11 [size=\"93673472\", alpha=\"0.06\", expect_size=\"46836736\"] \n  11 -> 15 [size =\"46836736\"]\n  12 [size=\"81917952\", alpha=\"0.20\", expect_size=\"40958976\"] \n  13 [size=\"49534976\", alpha=\"0.09\", expect_size=\"24767488\"] \n  14 [size=\"85753856\", alpha=\"0.01\", expect_size=\"42876928\"] \n  15 [size=\"75368448\", alpha=\"0.19\", expect_size=\"37684224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20285440\", alpha=\"0.16\", expect_size=\"10142720\"] \n  1 -> 3 [size =\"10142720\"]\n  2 [size=\"89182208\", alpha=\"0.06\", expect_size=\"44591104\"] \n  2 -> 4 [size =\"44591104\"]\n  2 -> 5 [size =\"44591104\"]\n  3 [size=\"28950528\", alpha=\"0.12\", expect_size=\"14475264\"] \n  3 -> 6 [size =\"14475264\"]\n  4 [size=\"87902208\", alpha=\"0.09\", expect_size=\"43951104\"] \n  5 [size=\"78356480\", alpha=\"0.14\", expect_size=\"39178240\"] \n  5 -> 6 [size =\"39178240\"]\n  6 [size=\"78333952\", alpha=\"0.20\", expect_size=\"39166976\"] \n  6 -> 7 [size =\"39166976\"]\n  7 [size=\"38318080\", alpha=\"0.04\", expect_size=\"19159040\"] \n  7 -> 8 [size =\"19159040\"]\n  7 -> 9 [size =\"19159040\"]\n  7 -> 10 [size =\"19159040\"]\n  7 -> 11 [size =\"19159040\"]\n  8 [size=\"26341376\", alpha=\"0.11\", expect_size=\"13170688\"] \n  8 -> 15 [size =\"13170688\"]\n  9 [size=\"57726976\", alpha=\"0.02\", expect_size=\"28863488\"] \n  9 -> 12 [size =\"28863488\"]\n  10 [size=\"69529600\", alpha=\"0.19\", expect_size=\"34764800\"] \n  10 -> 12 [size =\"34764800\"]\n  10 -> 13 [size =\"34764800\"]\n  10 -> 14 [size =\"34764800\"]\n  11 [size=\"68595712\", alpha=\"0.04\", expect_size=\"34297856\"] \n  11 -> 13 [size =\"34297856\"]\n  12 [size=\"50286592\", alpha=\"0.19\", expect_size=\"25143296\"] \n  13 [size=\"77975552\", alpha=\"0.08\", expect_size=\"38987776\"] \n  14 [size=\"38481920\", alpha=\"0.13\", expect_size=\"19240960\"] \n  15 [size=\"81717248\", alpha=\"0.16\", expect_size=\"40858624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99312640\", alpha=\"0.20\", expect_size=\"39725056\"] \n  1 -> 2 [size =\"39725056\"]\n  2 [size=\"24371200\", alpha=\"0.07\", expect_size=\"9748480\"] \n  2 -> 3 [size =\"9748480\"]\n  3 [size=\"50357760\", alpha=\"0.15\", expect_size=\"20143104\"] \n  3 -> 4 [size =\"20143104\"]\n  4 [size=\"100497920\", alpha=\"0.12\", expect_size=\"40199168\"] \n  4 -> 5 [size =\"40199168\"]\n  5 [size=\"18275840\", alpha=\"0.14\", expect_size=\"7310336\"] \n  5 -> 6 [size =\"7310336\"]\n  6 [size=\"97487360\", alpha=\"0.11\", expect_size=\"38994944\"] \n  6 -> 7 [size =\"38994944\"]\n  7 [size=\"65384960\", alpha=\"0.05\", expect_size=\"26153984\"] \n  7 -> 8 [size =\"26153984\"]\n  8 [size=\"115991040\", alpha=\"0.01\", expect_size=\"46396416\"] \n  8 -> 9 [size =\"46396416\"]\n  9 [size=\"105825280\", alpha=\"0.07\", expect_size=\"42330112\"] \n  9 -> 10 [size =\"42330112\"]\n  10 [size=\"119229440\", alpha=\"0.18\", expect_size=\"47691776\"] \n  10 -> 11 [size =\"47691776\"]\n  11 [size=\"67399680\", alpha=\"0.11\", expect_size=\"26959872\"] \n  11 -> 12 [size =\"26959872\"]\n  12 [size=\"65267200\", alpha=\"0.19\", expect_size=\"26106880\"] \n  12 -> 13 [size =\"26106880\"]\n  13 [size=\"105210880\", alpha=\"0.11\", expect_size=\"42084352\"] \n  13 -> 14 [size =\"42084352\"]\n  14 [size=\"73899520\", alpha=\"0.01\", expect_size=\"29559808\"] \n  14 -> 15 [size =\"29559808\"]\n  15 [size=\"29544960\", alpha=\"0.14\", expect_size=\"11817984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143933440\", alpha=\"0.08\", expect_size=\"43180032\"] \n  1 -> 7 [size =\"43180032\"]\n  1 -> 9 [size =\"43180032\"]\n  1 -> 10 [size =\"43180032\"]\n  1 -> 11 [size =\"43180032\"]\n  2 [size=\"103990613\", alpha=\"0.01\", expect_size=\"31197184\"] \n  2 -> 6 [size =\"31197184\"]\n  2 -> 7 [size =\"31197184\"]\n  2 -> 11 [size =\"31197184\"]\n  3 [size=\"123678720\", alpha=\"0.09\", expect_size=\"37103616\"] \n  3 -> 6 [size =\"37103616\"]\n  3 -> 11 [size =\"37103616\"]\n  4 [size=\"143957333\", alpha=\"0.01\", expect_size=\"43187200\"] \n  4 -> 6 [size =\"43187200\"]\n  4 -> 8 [size =\"43187200\"]\n  4 -> 11 [size =\"43187200\"]\n  5 [size=\"43093333\", alpha=\"0.10\", expect_size=\"12928000\"] \n  5 -> 6 [size =\"12928000\"]\n  5 -> 7 [size =\"12928000\"]\n  5 -> 8 [size =\"12928000\"]\n  6 [size=\"174312107\", alpha=\"0.20\", expect_size=\"52293632\"] \n  7 [size=\"87019520\", alpha=\"0.20\", expect_size=\"26105856\"] \n  7 -> 12 [size =\"26105856\"]\n  7 -> 13 [size =\"26105856\"]\n  7 -> 14 [size =\"26105856\"]\n  8 [size=\"52234240\", alpha=\"0.01\", expect_size=\"15670272\"] \n  8 -> 14 [size =\"15670272\"]\n  8 -> 15 [size =\"15670272\"]\n  9 [size=\"89716053\", alpha=\"0.17\", expect_size=\"26914816\"] \n  9 -> 15 [size =\"26914816\"]\n  10 [size=\"92313600\", alpha=\"0.11\", expect_size=\"27694080\"] \n  10 -> 14 [size =\"27694080\"]\n  11 [size=\"66781867\", alpha=\"0.12\", expect_size=\"20034560\"] \n  11 -> 13 [size =\"20034560\"]\n  11 -> 14 [size =\"20034560\"]\n  12 [size=\"125893973\", alpha=\"0.00\", expect_size=\"37768192\"] \n  13 [size=\"130734080\", alpha=\"0.06\", expect_size=\"39220224\"] \n  14 [size=\"43332267\", alpha=\"0.19\", expect_size=\"12999680\"] \n  15 [size=\"51486720\", alpha=\"0.20\", expect_size=\"15446016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149439147\", alpha=\"0.05\", expect_size=\"44831744\"] \n  2 [size=\"111817387\", alpha=\"0.01\", expect_size=\"33545216\"] \n  2 -> 3 [size =\"33545216\"]\n  2 -> 4 [size =\"33545216\"]\n  3 [size=\"107687253\", alpha=\"0.01\", expect_size=\"32306176\"] \n  3 -> 5 [size =\"32306176\"]\n  4 [size=\"154794667\", alpha=\"0.03\", expect_size=\"46438400\"] \n  5 [size=\"23422293\", alpha=\"0.14\", expect_size=\"7026688\"] \n  5 -> 6 [size =\"7026688\"]\n  5 -> 7 [size =\"7026688\"]\n  6 [size=\"43383467\", alpha=\"0.19\", expect_size=\"13015040\"] \n  6 -> 9 [size =\"13015040\"]\n  7 [size=\"148282027\", alpha=\"0.09\", expect_size=\"44484608\"] \n  7 -> 8 [size =\"44484608\"]\n  8 [size=\"125296640\", alpha=\"0.19\", expect_size=\"37588992\"] \n  8 -> 10 [size =\"37588992\"]\n  9 [size=\"37007360\", alpha=\"0.18\", expect_size=\"11102208\"] \n  9 -> 11 [size =\"11102208\"]\n  10 [size=\"164805973\", alpha=\"0.08\", expect_size=\"49441792\"] \n  11 [size=\"107581440\", alpha=\"0.14\", expect_size=\"32274432\"] \n  11 -> 12 [size =\"32274432\"]\n  12 [size=\"148759893\", alpha=\"0.10\", expect_size=\"44627968\"] \n  12 -> 13 [size =\"44627968\"]\n  13 [size=\"153159680\", alpha=\"0.07\", expect_size=\"45947904\"] \n  13 -> 14 [size =\"45947904\"]\n  13 -> 15 [size =\"45947904\"]\n  14 [size=\"159515307\", alpha=\"0.09\", expect_size=\"47854592\"] \n  15 [size=\"22702080\", alpha=\"0.17\", expect_size=\"6810624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63805440\", alpha=\"0.14\", expect_size=\"31902720\"] \n  1 -> 3 [size =\"31902720\"]\n  1 -> 4 [size =\"31902720\"]\n  2 [size=\"47779840\", alpha=\"0.17\", expect_size=\"23889920\"] \n  2 -> 3 [size =\"23889920\"]\n  2 -> 4 [size =\"23889920\"]\n  2 -> 5 [size =\"23889920\"]\n  3 [size=\"57700352\", alpha=\"0.01\", expect_size=\"28850176\"] \n  3 -> 7 [size =\"28850176\"]\n  4 [size=\"60698624\", alpha=\"0.00\", expect_size=\"30349312\"] \n  4 -> 7 [size =\"30349312\"]\n  5 [size=\"78850048\", alpha=\"0.13\", expect_size=\"39425024\"] \n  5 -> 6 [size =\"39425024\"]\n  5 -> 7 [size =\"39425024\"]\n  6 [size=\"94930944\", alpha=\"0.09\", expect_size=\"47465472\"] \n  6 -> 8 [size =\"47465472\"]\n  6 -> 9 [size =\"47465472\"]\n  6 -> 10 [size =\"47465472\"]\n  7 [size=\"103110656\", alpha=\"0.20\", expect_size=\"51555328\"] \n  7 -> 9 [size =\"51555328\"]\n  7 -> 10 [size =\"51555328\"]\n  8 [size=\"99362816\", alpha=\"0.08\", expect_size=\"49681408\"] \n  8 -> 11 [size =\"49681408\"]\n  8 -> 12 [size =\"49681408\"]\n  9 [size=\"84852736\", alpha=\"0.19\", expect_size=\"42426368\"] \n  9 -> 11 [size =\"42426368\"]\n  9 -> 12 [size =\"42426368\"]\n  9 -> 13 [size =\"42426368\"]\n  10 [size=\"11573248\", alpha=\"0.11\", expect_size=\"5786624\"] \n  10 -> 11 [size =\"5786624\"]\n  10 -> 12 [size =\"5786624\"]\n  11 [size=\"39333888\", alpha=\"0.20\", expect_size=\"19666944\"] \n  12 [size=\"103204864\", alpha=\"0.00\", expect_size=\"51602432\"] \n  12 -> 15 [size =\"51602432\"]\n  13 [size=\"88958976\", alpha=\"0.16\", expect_size=\"44479488\"] \n  13 -> 14 [size =\"44479488\"]\n  14 [size=\"95571968\", alpha=\"0.06\", expect_size=\"47785984\"] \n  15 [size=\"96614400\", alpha=\"0.10\", expect_size=\"48307200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18127360\", alpha=\"0.06\", expect_size=\"7250944\"] \n  2 [size=\"101870080\", alpha=\"0.12\", expect_size=\"40748032\"] \n  2 -> 13 [size =\"40748032\"]\n  2 -> 15 [size =\"40748032\"]\n  3 [size=\"100992000\", alpha=\"0.17\", expect_size=\"40396800\"] \n  3 -> 14 [size =\"40396800\"]\n  4 [size=\"81876480\", alpha=\"0.07\", expect_size=\"32750592\"] \n  4 -> 12 [size =\"32750592\"]\n  5 [size=\"73034240\", alpha=\"0.05\", expect_size=\"29213696\"] \n  5 -> 12 [size =\"29213696\"]\n  5 -> 13 [size =\"29213696\"]\n  6 [size=\"20787200\", alpha=\"0.08\", expect_size=\"8314880\"] \n  6 -> 13 [size =\"8314880\"]\n  7 [size=\"44994560\", alpha=\"0.06\", expect_size=\"17997824\"] \n  7 -> 13 [size =\"17997824\"]\n  7 -> 14 [size =\"17997824\"]\n  8 [size=\"67248640\", alpha=\"0.18\", expect_size=\"26899456\"] \n  8 -> 12 [size =\"26899456\"]\n  9 [size=\"58007040\", alpha=\"0.15\", expect_size=\"23202816\"] \n  9 -> 12 [size =\"23202816\"]\n  9 -> 13 [size =\"23202816\"]\n  10 [size=\"20561920\", alpha=\"0.11\", expect_size=\"8224768\"] \n  10 -> 12 [size =\"8224768\"]\n  10 -> 13 [size =\"8224768\"]\n  10 -> 14 [size =\"8224768\"]\n  11 [size=\"121267200\", alpha=\"0.02\", expect_size=\"48506880\"] \n  11 -> 13 [size =\"48506880\"]\n  11 -> 15 [size =\"48506880\"]\n  12 [size=\"40581120\", alpha=\"0.12\", expect_size=\"16232448\"] \n  13 [size=\"108433920\", alpha=\"0.12\", expect_size=\"43373568\"] \n  14 [size=\"88478720\", alpha=\"0.00\", expect_size=\"35391488\"] \n  15 [size=\"13928960\", alpha=\"0.00\", expect_size=\"5571584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24983552\", alpha=\"0.14\", expect_size=\"12491776\"] \n  1 -> 12 [size =\"12491776\"]\n  1 -> 13 [size =\"12491776\"]\n  1 -> 14 [size =\"12491776\"]\n  2 [size=\"29468672\", alpha=\"0.13\", expect_size=\"14734336\"] \n  2 -> 13 [size =\"14734336\"]\n  2 -> 13 [size =\"14734336\"]\n  2 -> 14 [size =\"14734336\"]\n  3 [size=\"44896256\", alpha=\"0.07\", expect_size=\"22448128\"] \n  4 [size=\"97050624\", alpha=\"0.20\", expect_size=\"48525312\"] \n  4 -> 13 [size =\"48525312\"]\n  5 [size=\"58044416\", alpha=\"0.12\", expect_size=\"29022208\"] \n  5 -> 13 [size =\"29022208\"]\n  5 -> 14 [size =\"29022208\"]\n  6 [size=\"20772864\", alpha=\"0.05\", expect_size=\"10386432\"] \n  7 [size=\"98580480\", alpha=\"0.05\", expect_size=\"49290240\"] \n  7 -> 12 [size =\"49290240\"]\n  7 -> 15 [size =\"49290240\"]\n  8 [size=\"78741504\", alpha=\"0.08\", expect_size=\"39370752\"] \n  8 -> 12 [size =\"39370752\"]\n  8 -> 14 [size =\"39370752\"]\n  9 [size=\"41289728\", alpha=\"0.09\", expect_size=\"20644864\"] \n  9 -> 12 [size =\"20644864\"]\n  9 -> 13 [size =\"20644864\"]\n  10 [size=\"78624768\", alpha=\"0.19\", expect_size=\"39312384\"] \n  10 -> 12 [size =\"39312384\"]\n  10 -> 14 [size =\"39312384\"]\n  11 [size=\"48945152\", alpha=\"0.04\", expect_size=\"24472576\"] \n  11 -> 12 [size =\"24472576\"]\n  12 [size=\"19746816\", alpha=\"0.18\", expect_size=\"9873408\"] \n  13 [size=\"83236864\", alpha=\"0.12\", expect_size=\"41618432\"] \n  14 [size=\"22687744\", alpha=\"0.16\", expect_size=\"11343872\"] \n  15 [size=\"20944896\", alpha=\"0.14\", expect_size=\"10472448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43182080\", alpha=\"0.01\", expect_size=\"17272832\"] \n  1 -> 11 [size =\"17272832\"]\n  1 -> 14 [size =\"17272832\"]\n  2 [size=\"29383680\", alpha=\"0.15\", expect_size=\"11753472\"] \n  3 [size=\"68520960\", alpha=\"0.07\", expect_size=\"27408384\"] \n  3 -> 12 [size =\"27408384\"]\n  3 -> 13 [size =\"27408384\"]\n  3 -> 14 [size =\"27408384\"]\n  4 [size=\"99686400\", alpha=\"0.01\", expect_size=\"39874560\"] \n  4 -> 13 [size =\"39874560\"]\n  5 [size=\"69550080\", alpha=\"0.09\", expect_size=\"27820032\"] \n  5 -> 13 [size =\"27820032\"]\n  5 -> 15 [size =\"27820032\"]\n  6 [size=\"87060480\", alpha=\"0.01\", expect_size=\"34824192\"] \n  6 -> 11 [size =\"34824192\"]\n  7 [size=\"20800000\", alpha=\"0.12\", expect_size=\"8320000\"] \n  7 -> 11 [size =\"8320000\"]\n  7 -> 15 [size =\"8320000\"]\n  8 [size=\"66145280\", alpha=\"0.16\", expect_size=\"26458112\"] \n  8 -> 13 [size =\"26458112\"]\n  9 [size=\"39828480\", alpha=\"0.02\", expect_size=\"15931392\"] \n  9 -> 15 [size =\"15931392\"]\n  10 [size=\"51560960\", alpha=\"0.07\", expect_size=\"20624384\"] \n  10 -> 15 [size =\"20624384\"]\n  11 [size=\"111301120\", alpha=\"0.04\", expect_size=\"44520448\"] \n  12 [size=\"117478400\", alpha=\"0.02\", expect_size=\"46991360\"] \n  13 [size=\"88604160\", alpha=\"0.19\", expect_size=\"35441664\"] \n  14 [size=\"14077440\", alpha=\"0.09\", expect_size=\"5630976\"] \n  15 [size=\"22830080\", alpha=\"0.06\", expect_size=\"9132032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130626560\", alpha=\"0.01\", expect_size=\"52250624\"] \n  1 -> 12 [size =\"52250624\"]\n  1 -> 14 [size =\"52250624\"]\n  2 [size=\"30755840\", alpha=\"0.12\", expect_size=\"12302336\"] \n  2 -> 9 [size =\"12302336\"]\n  2 -> 12 [size =\"12302336\"]\n  3 [size=\"73172480\", alpha=\"0.11\", expect_size=\"29268992\"] \n  3 -> 14 [size =\"29268992\"]\n  4 [size=\"48732160\", alpha=\"0.19\", expect_size=\"19492864\"] \n  4 -> 8 [size =\"19492864\"]\n  4 -> 10 [size =\"19492864\"]\n  4 -> 14 [size =\"19492864\"]\n  5 [size=\"100531200\", alpha=\"0.13\", expect_size=\"40212480\"] \n  5 -> 10 [size =\"40212480\"]\n  5 -> 11 [size =\"40212480\"]\n  5 -> 13 [size =\"40212480\"]\n  6 [size=\"120240640\", alpha=\"0.04\", expect_size=\"48096256\"] \n  6 -> 8 [size =\"48096256\"]\n  6 -> 9 [size =\"48096256\"]\n  6 -> 12 [size =\"48096256\"]\n  6 -> 14 [size =\"48096256\"]\n  7 [size=\"126310400\", alpha=\"0.04\", expect_size=\"50524160\"] \n  7 -> 12 [size =\"50524160\"]\n  8 [size=\"129625600\", alpha=\"0.03\", expect_size=\"51850240\"] \n  8 -> 15 [size =\"51850240\"]\n  9 [size=\"116889600\", alpha=\"0.19\", expect_size=\"46755840\"] \n  9 -> 15 [size =\"46755840\"]\n  10 [size=\"24330240\", alpha=\"0.15\", expect_size=\"9732096\"] \n  11 [size=\"66370560\", alpha=\"0.14\", expect_size=\"26548224\"] \n  11 -> 15 [size =\"26548224\"]\n  12 [size=\"75210240\", alpha=\"0.10\", expect_size=\"30084096\"] \n  13 [size=\"25082880\", alpha=\"0.18\", expect_size=\"10033152\"] \n  14 [size=\"90071040\", alpha=\"0.11\", expect_size=\"36028416\"] \n  14 -> 15 [size =\"36028416\"]\n  15 [size=\"84577280\", alpha=\"0.08\", expect_size=\"33830912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169611947\", alpha=\"0.16\", expect_size=\"50883584\"] \n  1 -> 13 [size =\"50883584\"]\n  2 [size=\"99764907\", alpha=\"0.19\", expect_size=\"29929472\"] \n  3 [size=\"47953920\", alpha=\"0.08\", expect_size=\"14386176\"] \n  3 -> 13 [size =\"14386176\"]\n  4 [size=\"156477440\", alpha=\"0.16\", expect_size=\"46943232\"] \n  4 -> 15 [size =\"46943232\"]\n  5 [size=\"87818240\", alpha=\"0.14\", expect_size=\"26345472\"] \n  5 -> 13 [size =\"26345472\"]\n  5 -> 15 [size =\"26345472\"]\n  6 [size=\"125440000\", alpha=\"0.04\", expect_size=\"37632000\"] \n  7 [size=\"73649493\", alpha=\"0.09\", expect_size=\"22094848\"] \n  7 -> 13 [size =\"22094848\"]\n  8 [size=\"86138880\", alpha=\"0.05\", expect_size=\"25841664\"] \n  8 -> 15 [size =\"25841664\"]\n  9 [size=\"28163413\", alpha=\"0.20\", expect_size=\"8449024\"] \n  9 -> 15 [size =\"8449024\"]\n  10 [size=\"109253973\", alpha=\"0.13\", expect_size=\"32776192\"] \n  10 -> 13 [size =\"32776192\"]\n  10 -> 14 [size =\"32776192\"]\n  11 [size=\"134181547\", alpha=\"0.16\", expect_size=\"40254464\"] \n  12 [size=\"100860587\", alpha=\"0.03\", expect_size=\"30258176\"] \n  13 [size=\"90627413\", alpha=\"0.17\", expect_size=\"27188224\"] \n  14 [size=\"154443093\", alpha=\"0.09\", expect_size=\"46332928\"] \n  15 [size=\"119992320\", alpha=\"0.03\", expect_size=\"35997696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74376533\", alpha=\"0.04\", expect_size=\"22312960\"] \n  1 -> 3 [size =\"22312960\"]\n  2 [size=\"162812587\", alpha=\"0.19\", expect_size=\"48843776\"] \n  2 -> 4 [size =\"48843776\"]\n  3 [size=\"111831040\", alpha=\"0.04\", expect_size=\"33549312\"] \n  3 -> 6 [size =\"33549312\"]\n  4 [size=\"49807360\", alpha=\"0.10\", expect_size=\"14942208\"] \n  4 -> 5 [size =\"14942208\"]\n  5 [size=\"128535893\", alpha=\"0.14\", expect_size=\"38560768\"] \n  5 -> 8 [size =\"38560768\"]\n  6 [size=\"165573973\", alpha=\"0.00\", expect_size=\"49672192\"] \n  6 -> 7 [size =\"49672192\"]\n  7 [size=\"128235520\", alpha=\"0.05\", expect_size=\"38470656\"] \n  8 [size=\"113390933\", alpha=\"0.04\", expect_size=\"34017280\"] \n  8 -> 9 [size =\"34017280\"]\n  9 [size=\"46772907\", alpha=\"0.08\", expect_size=\"14031872\"] \n  9 -> 10 [size =\"14031872\"]\n  9 -> 11 [size =\"14031872\"]\n  10 [size=\"41963520\", alpha=\"0.08\", expect_size=\"12589056\"] \n  10 -> 12 [size =\"12589056\"]\n  10 -> 13 [size =\"12589056\"]\n  11 [size=\"90757120\", alpha=\"0.17\", expect_size=\"27227136\"] \n  12 [size=\"124419413\", alpha=\"0.15\", expect_size=\"37325824\"] \n  13 [size=\"114684587\", alpha=\"0.06\", expect_size=\"34405376\"] \n  13 -> 14 [size =\"34405376\"]\n  14 [size=\"149923840\", alpha=\"0.16\", expect_size=\"44977152\"] \n  14 -> 15 [size =\"44977152\"]\n  15 [size=\"73274027\", alpha=\"0.03\", expect_size=\"21982208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83152213\", alpha=\"0.08\", expect_size=\"24945664\"] \n  1 -> 7 [size =\"24945664\"]\n  1 -> 8 [size =\"24945664\"]\n  1 -> 10 [size =\"24945664\"]\n  1 -> 11 [size =\"24945664\"]\n  1 -> 12 [size =\"24945664\"]\n  1 -> 13 [size =\"24945664\"]\n  2 [size=\"145899520\", alpha=\"0.08\", expect_size=\"43769856\"] \n  2 -> 7 [size =\"43769856\"]\n  2 -> 10 [size =\"43769856\"]\n  2 -> 11 [size =\"43769856\"]\n  2 -> 12 [size =\"43769856\"]\n  3 [size=\"20319573\", alpha=\"0.10\", expect_size=\"6095872\"] \n  3 -> 7 [size =\"6095872\"]\n  3 -> 8 [size =\"6095872\"]\n  3 -> 9 [size =\"6095872\"]\n  3 -> 10 [size =\"6095872\"]\n  3 -> 13 [size =\"6095872\"]\n  4 [size=\"50647040\", alpha=\"0.08\", expect_size=\"15194112\"] \n  4 -> 7 [size =\"15194112\"]\n  4 -> 9 [size =\"15194112\"]\n  4 -> 10 [size =\"15194112\"]\n  4 -> 12 [size =\"15194112\"]\n  4 -> 13 [size =\"15194112\"]\n  5 [size=\"17496747\", alpha=\"0.05\", expect_size=\"5249024\"] \n  5 -> 7 [size =\"5249024\"]\n  5 -> 9 [size =\"5249024\"]\n  5 -> 10 [size =\"5249024\"]\n  5 -> 11 [size =\"5249024\"]\n  5 -> 12 [size =\"5249024\"]\n  6 [size=\"107001173\", alpha=\"0.03\", expect_size=\"32100352\"] \n  6 -> 7 [size =\"32100352\"]\n  6 -> 8 [size =\"32100352\"]\n  6 -> 9 [size =\"32100352\"]\n  6 -> 10 [size =\"32100352\"]\n  6 -> 12 [size =\"32100352\"]\n  6 -> 13 [size =\"32100352\"]\n  7 [size=\"62655147\", alpha=\"0.08\", expect_size=\"18796544\"] \n  7 -> 14 [size =\"18796544\"]\n  7 -> 15 [size =\"18796544\"]\n  8 [size=\"75369813\", alpha=\"0.18\", expect_size=\"22610944\"] \n  8 -> 14 [size =\"22610944\"]\n  8 -> 15 [size =\"22610944\"]\n  9 [size=\"104949760\", alpha=\"0.16\", expect_size=\"31484928\"] \n  9 -> 14 [size =\"31484928\"]\n  9 -> 15 [size =\"31484928\"]\n  10 [size=\"142568107\", alpha=\"0.13\", expect_size=\"42770432\"] \n  10 -> 14 [size =\"42770432\"]\n  10 -> 15 [size =\"42770432\"]\n  11 [size=\"169762133\", alpha=\"0.03\", expect_size=\"50928640\"] \n  11 -> 14 [size =\"50928640\"]\n  11 -> 15 [size =\"50928640\"]\n  12 [size=\"75499520\", alpha=\"0.05\", expect_size=\"22649856\"] \n  12 -> 15 [size =\"22649856\"]\n  12 -> 15 [size =\"22649856\"]\n  13 [size=\"139840853\", alpha=\"0.04\", expect_size=\"41952256\"] \n  13 -> 14 [size =\"41952256\"]\n  14 [size=\"64918187\", alpha=\"0.04\", expect_size=\"19475456\"] \n  15 [size=\"128590507\", alpha=\"0.02\", expect_size=\"38577152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59615232\", alpha=\"0.18\", expect_size=\"29807616\"] \n  1 -> 3 [size =\"29807616\"]\n  2 [size=\"98045952\", alpha=\"0.05\", expect_size=\"49022976\"] \n  3 [size=\"54427648\", alpha=\"0.06\", expect_size=\"27213824\"] \n  3 -> 4 [size =\"27213824\"]\n  4 [size=\"48939008\", alpha=\"0.13\", expect_size=\"24469504\"] \n  4 -> 5 [size =\"24469504\"]\n  5 [size=\"89858048\", alpha=\"0.06\", expect_size=\"44929024\"] \n  5 -> 6 [size =\"44929024\"]\n  6 [size=\"54194176\", alpha=\"0.09\", expect_size=\"27097088\"] \n  6 -> 7 [size =\"27097088\"]\n  7 [size=\"62001152\", alpha=\"0.12\", expect_size=\"31000576\"] \n  7 -> 8 [size =\"31000576\"]\n  7 -> 9 [size =\"31000576\"]\n  8 [size=\"88510464\", alpha=\"0.20\", expect_size=\"44255232\"] \n  9 [size=\"26736640\", alpha=\"0.04\", expect_size=\"13368320\"] \n  9 -> 10 [size =\"13368320\"]\n  10 [size=\"76138496\", alpha=\"0.13\", expect_size=\"38069248\"] \n  10 -> 11 [size =\"38069248\"]\n  10 -> 12 [size =\"38069248\"]\n  11 [size=\"62107648\", alpha=\"0.15\", expect_size=\"31053824\"] \n  12 [size=\"51949568\", alpha=\"0.00\", expect_size=\"25974784\"] \n  12 -> 13 [size =\"25974784\"]\n  13 [size=\"77129728\", alpha=\"0.04\", expect_size=\"38564864\"] \n  13 -> 14 [size =\"38564864\"]\n  14 [size=\"104052736\", alpha=\"0.16\", expect_size=\"52026368\"] \n  14 -> 15 [size =\"52026368\"]\n  15 [size=\"71620608\", alpha=\"0.09\", expect_size=\"35810304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71563947\", alpha=\"0.06\", expect_size=\"21469184\"] \n  1 -> 2 [size =\"21469184\"]\n  2 [size=\"150937600\", alpha=\"0.09\", expect_size=\"45281280\"] \n  2 -> 3 [size =\"45281280\"]\n  3 [size=\"98017280\", alpha=\"0.18\", expect_size=\"29405184\"] \n  3 -> 4 [size =\"29405184\"]\n  4 [size=\"142677333\", alpha=\"0.05\", expect_size=\"42803200\"] \n  4 -> 5 [size =\"42803200\"]\n  5 [size=\"151098027\", alpha=\"0.12\", expect_size=\"45329408\"] \n  5 -> 6 [size =\"45329408\"]\n  6 [size=\"60398933\", alpha=\"0.11\", expect_size=\"18119680\"] \n  6 -> 7 [size =\"18119680\"]\n  7 [size=\"121070933\", alpha=\"0.16\", expect_size=\"36321280\"] \n  7 -> 8 [size =\"36321280\"]\n  8 [size=\"87504213\", alpha=\"0.02\", expect_size=\"26251264\"] \n  8 -> 9 [size =\"26251264\"]\n  9 [size=\"29941760\", alpha=\"0.12\", expect_size=\"8982528\"] \n  9 -> 10 [size =\"8982528\"]\n  10 [size=\"136058880\", alpha=\"0.05\", expect_size=\"40817664\"] \n  10 -> 11 [size =\"40817664\"]\n  11 [size=\"116425387\", alpha=\"0.08\", expect_size=\"34927616\"] \n  11 -> 12 [size =\"34927616\"]\n  12 [size=\"162812587\", alpha=\"0.18\", expect_size=\"48843776\"] \n  12 -> 13 [size =\"48843776\"]\n  13 [size=\"73086293\", alpha=\"0.19\", expect_size=\"21925888\"] \n  13 -> 14 [size =\"21925888\"]\n  14 [size=\"57047040\", alpha=\"0.20\", expect_size=\"17114112\"] \n  14 -> 15 [size =\"17114112\"]\n  15 [size=\"94395733\", alpha=\"0.04\", expect_size=\"28318720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70958080\", alpha=\"0.13\", expect_size=\"28383232\"] \n  1 -> 13 [size =\"28383232\"]\n  1 -> 13 [size =\"28383232\"]\n  1 -> 14 [size =\"28383232\"]\n  2 [size=\"98931200\", alpha=\"0.18\", expect_size=\"39572480\"] \n  2 -> 10 [size =\"39572480\"]\n  2 -> 12 [size =\"39572480\"]\n  2 -> 14 [size =\"39572480\"]\n  3 [size=\"41920000\", alpha=\"0.10\", expect_size=\"16768000\"] \n  3 -> 10 [size =\"16768000\"]\n  3 -> 12 [size =\"16768000\"]\n  3 -> 14 [size =\"16768000\"]\n  3 -> 15 [size =\"16768000\"]\n  4 [size=\"71820800\", alpha=\"0.06\", expect_size=\"28728320\"] \n  4 -> 10 [size =\"28728320\"]\n  4 -> 12 [size =\"28728320\"]\n  4 -> 13 [size =\"28728320\"]\n  4 -> 14 [size =\"28728320\"]\n  5 [size=\"55306240\", alpha=\"0.00\", expect_size=\"22122496\"] \n  5 -> 10 [size =\"22122496\"]\n  5 -> 12 [size =\"22122496\"]\n  5 -> 13 [size =\"22122496\"]\n  5 -> 14 [size =\"22122496\"]\n  6 [size=\"51210240\", alpha=\"0.06\", expect_size=\"20484096\"] \n  6 -> 10 [size =\"20484096\"]\n  6 -> 12 [size =\"20484096\"]\n  6 -> 13 [size =\"20484096\"]\n  6 -> 14 [size =\"20484096\"]\n  7 [size=\"21854720\", alpha=\"0.09\", expect_size=\"8741888\"] \n  7 -> 10 [size =\"8741888\"]\n  7 -> 11 [size =\"8741888\"]\n  7 -> 12 [size =\"8741888\"]\n  7 -> 13 [size =\"8741888\"]\n  7 -> 14 [size =\"8741888\"]\n  8 [size=\"88691200\", alpha=\"0.11\", expect_size=\"35476480\"] \n  8 -> 11 [size =\"35476480\"]\n  8 -> 12 [size =\"35476480\"]\n  8 -> 12 [size =\"35476480\"]\n  8 -> 13 [size =\"35476480\"]\n  8 -> 14 [size =\"35476480\"]\n  8 -> 15 [size =\"35476480\"]\n  9 [size=\"90762240\", alpha=\"0.08\", expect_size=\"36304896\"] \n  9 -> 12 [size =\"36304896\"]\n  9 -> 13 [size =\"36304896\"]\n  9 -> 14 [size =\"36304896\"]\n  9 -> 15 [size =\"36304896\"]\n  10 [size=\"38402560\", alpha=\"0.13\", expect_size=\"15361024\"] \n  11 [size=\"72522240\", alpha=\"0.10\", expect_size=\"29008896\"] \n  12 [size=\"28725760\", alpha=\"0.20\", expect_size=\"11490304\"] \n  13 [size=\"15255040\", alpha=\"0.00\", expect_size=\"6102016\"] \n  14 [size=\"74403840\", alpha=\"0.13\", expect_size=\"29761536\"] \n  15 [size=\"109821440\", alpha=\"0.18\", expect_size=\"43928576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128317440\", alpha=\"0.15\", expect_size=\"51326976\"] \n  1 -> 8 [size =\"51326976\"]\n  1 -> 10 [size =\"51326976\"]\n  2 [size=\"46819840\", alpha=\"0.06\", expect_size=\"18727936\"] \n  2 -> 8 [size =\"18727936\"]\n  2 -> 9 [size =\"18727936\"]\n  2 -> 10 [size =\"18727936\"]\n  2 -> 12 [size =\"18727936\"]\n  3 [size=\"20556800\", alpha=\"0.03\", expect_size=\"8222720\"] \n  3 -> 7 [size =\"8222720\"]\n  3 -> 9 [size =\"8222720\"]\n  3 -> 10 [size =\"8222720\"]\n  4 [size=\"107645440\", alpha=\"0.01\", expect_size=\"43058176\"] \n  4 -> 7 [size =\"43058176\"]\n  4 -> 8 [size =\"43058176\"]\n  4 -> 9 [size =\"43058176\"]\n  5 [size=\"66158080\", alpha=\"0.01\", expect_size=\"26463232\"] \n  5 -> 8 [size =\"26463232\"]\n  5 -> 9 [size =\"26463232\"]\n  5 -> 11 [size =\"26463232\"]\n  6 [size=\"25989120\", alpha=\"0.06\", expect_size=\"10395648\"] \n  6 -> 7 [size =\"10395648\"]\n  6 -> 10 [size =\"10395648\"]\n  6 -> 11 [size =\"10395648\"]\n  7 [size=\"72279040\", alpha=\"0.14\", expect_size=\"28911616\"] \n  7 -> 14 [size =\"28911616\"]\n  7 -> 15 [size =\"28911616\"]\n  8 [size=\"64898560\", alpha=\"0.08\", expect_size=\"25959424\"] \n  8 -> 13 [size =\"25959424\"]\n  8 -> 14 [size =\"25959424\"]\n  8 -> 15 [size =\"25959424\"]\n  9 [size=\"111155200\", alpha=\"0.01\", expect_size=\"44462080\"] \n  9 -> 13 [size =\"44462080\"]\n  9 -> 14 [size =\"44462080\"]\n  9 -> 15 [size =\"44462080\"]\n  10 [size=\"15290880\", alpha=\"0.18\", expect_size=\"6116352\"] \n  10 -> 13 [size =\"6116352\"]\n  10 -> 14 [size =\"6116352\"]\n  11 [size=\"113064960\", alpha=\"0.17\", expect_size=\"45225984\"] \n  11 -> 13 [size =\"45225984\"]\n  12 [size=\"81907200\", alpha=\"0.18\", expect_size=\"32762880\"] \n  12 -> 14 [size =\"32762880\"]\n  12 -> 15 [size =\"32762880\"]\n  13 [size=\"115865600\", alpha=\"0.19\", expect_size=\"46346240\"] \n  14 [size=\"18311680\", alpha=\"0.07\", expect_size=\"7324672\"] \n  15 [size=\"24619520\", alpha=\"0.14\", expect_size=\"9847808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152784213\", alpha=\"0.00\", expect_size=\"45835264\"] \n  2 [size=\"147633493\", alpha=\"0.18\", expect_size=\"44290048\"] \n  2 -> 3 [size =\"44290048\"]\n  2 -> 4 [size =\"44290048\"]\n  3 [size=\"150862507\", alpha=\"0.17\", expect_size=\"45258752\"] \n  3 -> 6 [size =\"45258752\"]\n  4 [size=\"152722773\", alpha=\"0.13\", expect_size=\"45816832\"] \n  4 -> 5 [size =\"45816832\"]\n  5 [size=\"53425493\", alpha=\"0.17\", expect_size=\"16027648\"] \n  5 -> 8 [size =\"16027648\"]\n  6 [size=\"79465813\", alpha=\"0.10\", expect_size=\"23839744\"] \n  6 -> 7 [size =\"23839744\"]\n  7 [size=\"110353067\", alpha=\"0.02\", expect_size=\"33105920\"] \n  7 -> 9 [size =\"33105920\"]\n  7 -> 10 [size =\"33105920\"]\n  8 [size=\"73530027\", alpha=\"0.01\", expect_size=\"22059008\"] \n  9 [size=\"170584747\", alpha=\"0.01\", expect_size=\"51175424\"] \n  10 [size=\"170345813\", alpha=\"0.05\", expect_size=\"51103744\"] \n  10 -> 11 [size =\"51103744\"]\n  10 -> 12 [size =\"51103744\"]\n  11 [size=\"166816427\", alpha=\"0.09\", expect_size=\"50044928\"] \n  12 [size=\"170280960\", alpha=\"0.18\", expect_size=\"51084288\"] \n  12 -> 13 [size =\"51084288\"]\n  13 [size=\"155398827\", alpha=\"0.11\", expect_size=\"46619648\"] \n  13 -> 14 [size =\"46619648\"]\n  13 -> 15 [size =\"46619648\"]\n  14 [size=\"134498987\", alpha=\"0.04\", expect_size=\"40349696\"] \n  15 [size=\"77885440\", alpha=\"0.09\", expect_size=\"23365632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84544000\", alpha=\"0.08\", expect_size=\"33817600\"] \n  1 -> 2 [size =\"33817600\"]\n  2 [size=\"73566720\", alpha=\"0.17\", expect_size=\"29426688\"] \n  2 -> 3 [size =\"29426688\"]\n  3 [size=\"112555520\", alpha=\"0.03\", expect_size=\"45022208\"] \n  3 -> 4 [size =\"45022208\"]\n  4 [size=\"93345280\", alpha=\"0.10\", expect_size=\"37338112\"] \n  4 -> 5 [size =\"37338112\"]\n  5 [size=\"16683520\", alpha=\"0.20\", expect_size=\"6673408\"] \n  5 -> 6 [size =\"6673408\"]\n  6 [size=\"128496640\", alpha=\"0.08\", expect_size=\"51398656\"] \n  6 -> 7 [size =\"51398656\"]\n  7 [size=\"93480960\", alpha=\"0.16\", expect_size=\"37392384\"] \n  7 -> 8 [size =\"37392384\"]\n  8 [size=\"47887360\", alpha=\"0.07\", expect_size=\"19154944\"] \n  8 -> 9 [size =\"19154944\"]\n  9 [size=\"44293120\", alpha=\"0.08\", expect_size=\"17717248\"] \n  9 -> 10 [size =\"17717248\"]\n  10 [size=\"61911040\", alpha=\"0.08\", expect_size=\"24764416\"] \n  10 -> 11 [size =\"24764416\"]\n  11 [size=\"100725760\", alpha=\"0.03\", expect_size=\"40290304\"] \n  11 -> 12 [size =\"40290304\"]\n  12 [size=\"28290560\", alpha=\"0.02\", expect_size=\"11316224\"] \n  12 -> 13 [size =\"11316224\"]\n  13 [size=\"130990080\", alpha=\"0.18\", expect_size=\"52396032\"] \n  13 -> 14 [size =\"52396032\"]\n  14 [size=\"28766720\", alpha=\"0.17\", expect_size=\"11506688\"] \n  14 -> 15 [size =\"11506688\"]\n  15 [size=\"88565760\", alpha=\"0.12\", expect_size=\"35426304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103311360\", alpha=\"0.10\", expect_size=\"30993408\"] \n  1 -> 3 [size =\"30993408\"]\n  2 [size=\"23808000\", alpha=\"0.06\", expect_size=\"7142400\"] \n  2 -> 3 [size =\"7142400\"]\n  3 [size=\"101130240\", alpha=\"0.08\", expect_size=\"30339072\"] \n  3 -> 4 [size =\"30339072\"]\n  3 -> 5 [size =\"30339072\"]\n  4 [size=\"160170667\", alpha=\"0.10\", expect_size=\"48051200\"] \n  4 -> 6 [size =\"48051200\"]\n  5 [size=\"168645973\", alpha=\"0.08\", expect_size=\"50593792\"] \n  5 -> 6 [size =\"50593792\"]\n  5 -> 7 [size =\"50593792\"]\n  6 [size=\"41151147\", alpha=\"0.19\", expect_size=\"12345344\"] \n  6 -> 8 [size =\"12345344\"]\n  6 -> 9 [size =\"12345344\"]\n  7 [size=\"164399787\", alpha=\"0.02\", expect_size=\"49319936\"] \n  7 -> 9 [size =\"49319936\"]\n  8 [size=\"52841813\", alpha=\"0.08\", expect_size=\"15852544\"] \n  8 -> 10 [size =\"15852544\"]\n  9 [size=\"23022933\", alpha=\"0.02\", expect_size=\"6906880\"] \n  10 [size=\"32040960\", alpha=\"0.16\", expect_size=\"9612288\"] \n  10 -> 11 [size =\"9612288\"]\n  11 [size=\"123729920\", alpha=\"0.07\", expect_size=\"37118976\"] \n  11 -> 12 [size =\"37118976\"]\n  11 -> 13 [size =\"37118976\"]\n  12 [size=\"41297920\", alpha=\"0.19\", expect_size=\"12389376\"] \n  13 [size=\"90903893\", alpha=\"0.11\", expect_size=\"27271168\"] \n  13 -> 14 [size =\"27271168\"]\n  13 -> 15 [size =\"27271168\"]\n  14 [size=\"156658347\", alpha=\"0.07\", expect_size=\"46997504\"] \n  15 [size=\"81076907\", alpha=\"0.01\", expect_size=\"24323072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130048000\", alpha=\"0.16\", expect_size=\"39014400\"] \n  1 -> 2 [size =\"39014400\"]\n  2 [size=\"71563947\", alpha=\"0.16\", expect_size=\"21469184\"] \n  2 -> 3 [size =\"21469184\"]\n  2 -> 4 [size =\"21469184\"]\n  3 [size=\"167311360\", alpha=\"0.09\", expect_size=\"50193408\"] \n  3 -> 5 [size =\"50193408\"]\n  4 [size=\"64006827\", alpha=\"0.13\", expect_size=\"19202048\"] \n  4 -> 5 [size =\"19202048\"]\n  4 -> 6 [size =\"19202048\"]\n  5 [size=\"107537067\", alpha=\"0.03\", expect_size=\"32261120\"] \n  6 [size=\"114015573\", alpha=\"0.07\", expect_size=\"34204672\"] \n  6 -> 7 [size =\"34204672\"]\n  7 [size=\"69454507\", alpha=\"0.15\", expect_size=\"20836352\"] \n  7 -> 8 [size =\"20836352\"]\n  7 -> 9 [size =\"20836352\"]\n  8 [size=\"169069227\", alpha=\"0.17\", expect_size=\"50720768\"] \n  8 -> 10 [size =\"50720768\"]\n  9 [size=\"156098560\", alpha=\"0.19\", expect_size=\"46829568\"] \n  9 -> 11 [size =\"46829568\"]\n  10 [size=\"77639680\", alpha=\"0.14\", expect_size=\"23291904\"] \n  10 -> 12 [size =\"23291904\"]\n  11 [size=\"29914453\", alpha=\"0.06\", expect_size=\"8974336\"] \n  11 -> 12 [size =\"8974336\"]\n  11 -> 13 [size =\"8974336\"]\n  12 [size=\"156187307\", alpha=\"0.00\", expect_size=\"46856192\"] \n  12 -> 14 [size =\"46856192\"]\n  12 -> 15 [size =\"46856192\"]\n  13 [size=\"125081600\", alpha=\"0.19\", expect_size=\"37524480\"] \n  13 -> 14 [size =\"37524480\"]\n  14 [size=\"38707200\", alpha=\"0.02\", expect_size=\"11612160\"] \n  15 [size=\"143940267\", alpha=\"0.04\", expect_size=\"43182080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59236352\", alpha=\"0.19\", expect_size=\"29618176\"] \n  1 -> 10 [size =\"29618176\"]\n  1 -> 15 [size =\"29618176\"]\n  2 [size=\"51562496\", alpha=\"0.07\", expect_size=\"25781248\"] \n  2 -> 10 [size =\"25781248\"]\n  2 -> 12 [size =\"25781248\"]\n  2 -> 14 [size =\"25781248\"]\n  2 -> 15 [size =\"25781248\"]\n  3 [size=\"38647808\", alpha=\"0.02\", expect_size=\"19323904\"] \n  3 -> 10 [size =\"19323904\"]\n  3 -> 12 [size =\"19323904\"]\n  4 [size=\"21393408\", alpha=\"0.06\", expect_size=\"10696704\"] \n  4 -> 10 [size =\"10696704\"]\n  4 -> 12 [size =\"10696704\"]\n  4 -> 13 [size =\"10696704\"]\n  5 [size=\"83353600\", alpha=\"0.06\", expect_size=\"41676800\"] \n  5 -> 10 [size =\"41676800\"]\n  5 -> 12 [size =\"41676800\"]\n  6 [size=\"54208512\", alpha=\"0.08\", expect_size=\"27104256\"] \n  6 -> 10 [size =\"27104256\"]\n  6 -> 12 [size =\"27104256\"]\n  6 -> 13 [size =\"27104256\"]\n  7 [size=\"38268928\", alpha=\"0.10\", expect_size=\"19134464\"] \n  7 -> 12 [size =\"19134464\"]\n  7 -> 12 [size =\"19134464\"]\n  7 -> 15 [size =\"19134464\"]\n  8 [size=\"90441728\", alpha=\"0.06\", expect_size=\"45220864\"] \n  8 -> 12 [size =\"45220864\"]\n  9 [size=\"34029568\", alpha=\"0.06\", expect_size=\"17014784\"] \n  9 -> 10 [size =\"17014784\"]\n  9 -> 11 [size =\"17014784\"]\n  9 -> 13 [size =\"17014784\"]\n  10 [size=\"42958848\", alpha=\"0.13\", expect_size=\"21479424\"] \n  11 [size=\"82321408\", alpha=\"0.14\", expect_size=\"41160704\"] \n  12 [size=\"79054848\", alpha=\"0.06\", expect_size=\"39527424\"] \n  13 [size=\"15980544\", alpha=\"0.13\", expect_size=\"7990272\"] \n  14 [size=\"24543232\", alpha=\"0.16\", expect_size=\"12271616\"] \n  15 [size=\"53948416\", alpha=\"0.13\", expect_size=\"26974208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62064640\", alpha=\"0.10\", expect_size=\"18619392\"] \n  1 -> 2 [size =\"18619392\"]\n  2 [size=\"105472000\", alpha=\"0.09\", expect_size=\"31641600\"] \n  2 -> 3 [size =\"31641600\"]\n  3 [size=\"61235200\", alpha=\"0.12\", expect_size=\"18370560\"] \n  3 -> 4 [size =\"18370560\"]\n  4 [size=\"98986667\", alpha=\"0.03\", expect_size=\"29696000\"] \n  4 -> 5 [size =\"29696000\"]\n  5 [size=\"32440320\", alpha=\"0.09\", expect_size=\"9732096\"] \n  5 -> 6 [size =\"9732096\"]\n  6 [size=\"160020480\", alpha=\"0.04\", expect_size=\"48006144\"] \n  6 -> 7 [size =\"48006144\"]\n  7 [size=\"22022827\", alpha=\"0.11\", expect_size=\"6606848\"] \n  7 -> 8 [size =\"6606848\"]\n  8 [size=\"160071680\", alpha=\"0.20\", expect_size=\"48021504\"] \n  8 -> 9 [size =\"48021504\"]\n  9 [size=\"67304107\", alpha=\"0.02\", expect_size=\"20191232\"] \n  9 -> 10 [size =\"20191232\"]\n  10 [size=\"57900373\", alpha=\"0.10\", expect_size=\"17370112\"] \n  10 -> 11 [size =\"17370112\"]\n  11 [size=\"98201600\", alpha=\"0.14\", expect_size=\"29460480\"] \n  11 -> 12 [size =\"29460480\"]\n  12 [size=\"18435413\", alpha=\"0.19\", expect_size=\"5530624\"] \n  12 -> 13 [size =\"5530624\"]\n  13 [size=\"87688533\", alpha=\"0.17\", expect_size=\"26306560\"] \n  13 -> 14 [size =\"26306560\"]\n  14 [size=\"23343787\", alpha=\"0.12\", expect_size=\"7003136\"] \n  14 -> 15 [size =\"7003136\"]\n  15 [size=\"50213547\", alpha=\"0.12\", expect_size=\"15064064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88502272\", alpha=\"0.07\", expect_size=\"44251136\"] \n  1 -> 11 [size =\"44251136\"]\n  2 [size=\"61958144\", alpha=\"0.11\", expect_size=\"30979072\"] \n  3 [size=\"31432704\", alpha=\"0.05\", expect_size=\"15716352\"] \n  3 -> 9 [size =\"15716352\"]\n  4 [size=\"34064384\", alpha=\"0.05\", expect_size=\"17032192\"] \n  4 -> 9 [size =\"17032192\"]\n  4 -> 10 [size =\"17032192\"]\n  4 -> 12 [size =\"17032192\"]\n  4 -> 13 [size =\"17032192\"]\n  5 [size=\"30158848\", alpha=\"0.11\", expect_size=\"15079424\"] \n  5 -> 9 [size =\"15079424\"]\n  5 -> 10 [size =\"15079424\"]\n  6 [size=\"100454400\", alpha=\"0.02\", expect_size=\"50227200\"] \n  6 -> 10 [size =\"50227200\"]\n  6 -> 11 [size =\"50227200\"]\n  6 -> 12 [size =\"50227200\"]\n  7 [size=\"95076352\", alpha=\"0.07\", expect_size=\"47538176\"] \n  8 [size=\"103903232\", alpha=\"0.12\", expect_size=\"51951616\"] \n  8 -> 14 [size =\"51951616\"]\n  9 [size=\"57868288\", alpha=\"0.03\", expect_size=\"28934144\"] \n  9 -> 15 [size =\"28934144\"]\n  10 [size=\"72634368\", alpha=\"0.04\", expect_size=\"36317184\"] \n  11 [size=\"47454208\", alpha=\"0.08\", expect_size=\"23727104\"] \n  12 [size=\"78200832\", alpha=\"0.19\", expect_size=\"39100416\"] \n  12 -> 15 [size =\"39100416\"]\n  13 [size=\"33757184\", alpha=\"0.01\", expect_size=\"16878592\"] \n  14 [size=\"59576320\", alpha=\"0.12\", expect_size=\"29788160\"] \n  14 -> 15 [size =\"29788160\"]\n  15 [size=\"83261440\", alpha=\"0.03\", expect_size=\"41630720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78844587\", alpha=\"0.12\", expect_size=\"23653376\"] \n  1 -> 3 [size =\"23653376\"]\n  1 -> 4 [size =\"23653376\"]\n  2 [size=\"25480533\", alpha=\"0.15\", expect_size=\"7644160\"] \n  3 [size=\"37229227\", alpha=\"0.11\", expect_size=\"11168768\"] \n  3 -> 6 [size =\"11168768\"]\n  4 [size=\"149118293\", alpha=\"0.05\", expect_size=\"44735488\"] \n  4 -> 5 [size =\"44735488\"]\n  5 [size=\"96293547\", alpha=\"0.02\", expect_size=\"28888064\"] \n  5 -> 7 [size =\"28888064\"]\n  6 [size=\"87343787\", alpha=\"0.10\", expect_size=\"26203136\"] \n  6 -> 8 [size =\"26203136\"]\n  7 [size=\"78308693\", alpha=\"0.15\", expect_size=\"23492608\"] \n  7 -> 10 [size =\"23492608\"]\n  8 [size=\"156272640\", alpha=\"0.13\", expect_size=\"46881792\"] \n  8 -> 9 [size =\"46881792\"]\n  9 [size=\"130505387\", alpha=\"0.04\", expect_size=\"39151616\"] \n  10 [size=\"93494613\", alpha=\"0.07\", expect_size=\"28048384\"] \n  10 -> 11 [size =\"28048384\"]\n  10 -> 12 [size =\"28048384\"]\n  11 [size=\"115005440\", alpha=\"0.10\", expect_size=\"34501632\"] \n  11 -> 13 [size =\"34501632\"]\n  12 [size=\"51063467\", alpha=\"0.02\", expect_size=\"15319040\"] \n  13 [size=\"165826560\", alpha=\"0.10\", expect_size=\"49747968\"] \n  13 -> 14 [size =\"49747968\"]\n  14 [size=\"96372053\", alpha=\"0.09\", expect_size=\"28911616\"] \n  14 -> 15 [size =\"28911616\"]\n  15 [size=\"134130347\", alpha=\"0.03\", expect_size=\"40239104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86336853\", alpha=\"0.09\", expect_size=\"25901056\"] \n  1 -> 13 [size =\"25901056\"]\n  1 -> 15 [size =\"25901056\"]\n  2 [size=\"127904427\", alpha=\"0.04\", expect_size=\"38371328\"] \n  2 -> 13 [size =\"38371328\"]\n  2 -> 15 [size =\"38371328\"]\n  3 [size=\"134311253\", alpha=\"0.03\", expect_size=\"40293376\"] \n  3 -> 14 [size =\"40293376\"]\n  4 [size=\"160853333\", alpha=\"0.05\", expect_size=\"48256000\"] \n  4 -> 15 [size =\"48256000\"]\n  5 [size=\"128546133\", alpha=\"0.05\", expect_size=\"38563840\"] \n  5 -> 15 [size =\"38563840\"]\n  6 [size=\"29921280\", alpha=\"0.04\", expect_size=\"8976384\"] \n  7 [size=\"155183787\", alpha=\"0.12\", expect_size=\"46555136\"] \n  7 -> 15 [size =\"46555136\"]\n  8 [size=\"67659093\", alpha=\"0.03\", expect_size=\"20297728\"] \n  8 -> 14 [size =\"20297728\"]\n  9 [size=\"85288960\", alpha=\"0.11\", expect_size=\"25586688\"] \n  9 -> 14 [size =\"25586688\"]\n  9 -> 15 [size =\"25586688\"]\n  10 [size=\"152599893\", alpha=\"0.05\", expect_size=\"45779968\"] \n  11 [size=\"108946773\", alpha=\"0.07\", expect_size=\"32684032\"] \n  11 -> 14 [size =\"32684032\"]\n  11 -> 15 [size =\"32684032\"]\n  12 [size=\"20623360\", alpha=\"0.17\", expect_size=\"6187008\"] \n  12 -> 15 [size =\"6187008\"]\n  13 [size=\"50923520\", alpha=\"0.08\", expect_size=\"15277056\"] \n  14 [size=\"77240320\", alpha=\"0.15\", expect_size=\"23172096\"] \n  15 [size=\"112872107\", alpha=\"0.05\", expect_size=\"33861632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168195413\", alpha=\"0.02\", expect_size=\"50458624\"] \n  1 -> 2 [size =\"50458624\"]\n  2 [size=\"112370347\", alpha=\"0.00\", expect_size=\"33711104\"] \n  2 -> 3 [size =\"33711104\"]\n  3 [size=\"50623147\", alpha=\"0.01\", expect_size=\"15186944\"] \n  3 -> 4 [size =\"15186944\"]\n  4 [size=\"73219413\", alpha=\"0.07\", expect_size=\"21965824\"] \n  4 -> 5 [size =\"21965824\"]\n  5 [size=\"42564267\", alpha=\"0.10\", expect_size=\"12769280\"] \n  5 -> 6 [size =\"12769280\"]\n  6 [size=\"70321493\", alpha=\"0.01\", expect_size=\"21096448\"] \n  6 -> 7 [size =\"21096448\"]\n  7 [size=\"77421227\", alpha=\"0.17\", expect_size=\"23226368\"] \n  7 -> 8 [size =\"23226368\"]\n  8 [size=\"100392960\", alpha=\"0.03\", expect_size=\"30117888\"] \n  8 -> 9 [size =\"30117888\"]\n  9 [size=\"156456960\", alpha=\"0.06\", expect_size=\"46937088\"] \n  9 -> 10 [size =\"46937088\"]\n  10 [size=\"115302400\", alpha=\"0.03\", expect_size=\"34590720\"] \n  10 -> 11 [size =\"34590720\"]\n  11 [size=\"145619627\", alpha=\"0.16\", expect_size=\"43685888\"] \n  11 -> 12 [size =\"43685888\"]\n  12 [size=\"163150507\", alpha=\"0.07\", expect_size=\"48945152\"] \n  12 -> 13 [size =\"48945152\"]\n  13 [size=\"167007573\", alpha=\"0.07\", expect_size=\"50102272\"] \n  13 -> 14 [size =\"50102272\"]\n  14 [size=\"20114773\", alpha=\"0.19\", expect_size=\"6034432\"] \n  14 -> 15 [size =\"6034432\"]\n  15 [size=\"76117333\", alpha=\"0.14\", expect_size=\"22835200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21643264\", alpha=\"0.04\", expect_size=\"10821632\"] \n  1 -> 9 [size =\"10821632\"]\n  1 -> 12 [size =\"10821632\"]\n  1 -> 13 [size =\"10821632\"]\n  1 -> 14 [size =\"10821632\"]\n  2 [size=\"11374592\", alpha=\"0.08\", expect_size=\"5687296\"] \n  2 -> 10 [size =\"5687296\"]\n  2 -> 11 [size =\"5687296\"]\n  2 -> 12 [size =\"5687296\"]\n  3 [size=\"79788032\", alpha=\"0.20\", expect_size=\"39894016\"] \n  4 [size=\"67694592\", alpha=\"0.11\", expect_size=\"33847296\"] \n  4 -> 9 [size =\"33847296\"]\n  4 -> 12 [size =\"33847296\"]\n  4 -> 13 [size =\"33847296\"]\n  5 [size=\"92731392\", alpha=\"0.01\", expect_size=\"46365696\"] \n  5 -> 11 [size =\"46365696\"]\n  6 [size=\"104728576\", alpha=\"0.19\", expect_size=\"52364288\"] \n  6 -> 8 [size =\"52364288\"]\n  6 -> 9 [size =\"52364288\"]\n  6 -> 13 [size =\"52364288\"]\n  7 [size=\"68388864\", alpha=\"0.19\", expect_size=\"34194432\"] \n  7 -> 14 [size =\"34194432\"]\n  8 [size=\"95635456\", alpha=\"0.07\", expect_size=\"47817728\"] \n  9 [size=\"31889408\", alpha=\"0.04\", expect_size=\"15944704\"] \n  10 [size=\"34627584\", alpha=\"0.17\", expect_size=\"17313792\"] \n  10 -> 15 [size =\"17313792\"]\n  11 [size=\"75657216\", alpha=\"0.04\", expect_size=\"37828608\"] \n  11 -> 15 [size =\"37828608\"]\n  12 [size=\"92477440\", alpha=\"0.16\", expect_size=\"46238720\"] \n  13 [size=\"35825664\", alpha=\"0.18\", expect_size=\"17912832\"] \n  14 [size=\"35614720\", alpha=\"0.08\", expect_size=\"17807360\"] \n  14 -> 15 [size =\"17807360\"]\n  15 [size=\"86366208\", alpha=\"0.12\", expect_size=\"43183104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57856000\", alpha=\"0.03\", expect_size=\"23142400\"] \n  1 -> 2 [size =\"23142400\"]\n  2 [size=\"71132160\", alpha=\"0.04\", expect_size=\"28452864\"] \n  2 -> 3 [size =\"28452864\"]\n  3 [size=\"51056640\", alpha=\"0.16\", expect_size=\"20422656\"] \n  3 -> 4 [size =\"20422656\"]\n  4 [size=\"50452480\", alpha=\"0.06\", expect_size=\"20180992\"] \n  4 -> 5 [size =\"20180992\"]\n  5 [size=\"78474240\", alpha=\"0.03\", expect_size=\"31389696\"] \n  5 -> 6 [size =\"31389696\"]\n  6 [size=\"21660160\", alpha=\"0.10\", expect_size=\"8664064\"] \n  6 -> 7 [size =\"8664064\"]\n  7 [size=\"98513920\", alpha=\"0.04\", expect_size=\"39405568\"] \n  7 -> 8 [size =\"39405568\"]\n  8 [size=\"109035520\", alpha=\"0.01\", expect_size=\"43614208\"] \n  8 -> 9 [size =\"43614208\"]\n  9 [size=\"105431040\", alpha=\"0.06\", expect_size=\"42172416\"] \n  9 -> 10 [size =\"42172416\"]\n  10 [size=\"113080320\", alpha=\"0.14\", expect_size=\"45232128\"] \n  10 -> 11 [size =\"45232128\"]\n  11 [size=\"75279360\", alpha=\"0.14\", expect_size=\"30111744\"] \n  11 -> 12 [size =\"30111744\"]\n  12 [size=\"92346880\", alpha=\"0.02\", expect_size=\"36938752\"] \n  12 -> 13 [size =\"36938752\"]\n  13 [size=\"113026560\", alpha=\"0.10\", expect_size=\"45210624\"] \n  13 -> 14 [size =\"45210624\"]\n  14 [size=\"91330560\", alpha=\"0.12\", expect_size=\"36532224\"] \n  14 -> 15 [size =\"36532224\"]\n  15 [size=\"124999680\", alpha=\"0.11\", expect_size=\"49999872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80138240\", alpha=\"0.08\", expect_size=\"32055296\"] \n  1 -> 3 [size =\"32055296\"]\n  2 [size=\"44019200\", alpha=\"0.13\", expect_size=\"17607680\"] \n  2 -> 3 [size =\"17607680\"]\n  3 [size=\"107870720\", alpha=\"0.03\", expect_size=\"43148288\"] \n  3 -> 4 [size =\"43148288\"]\n  3 -> 5 [size =\"43148288\"]\n  4 [size=\"58360320\", alpha=\"0.06\", expect_size=\"23344128\"] \n  4 -> 6 [size =\"23344128\"]\n  4 -> 7 [size =\"23344128\"]\n  5 [size=\"64542720\", alpha=\"0.11\", expect_size=\"25817088\"] \n  5 -> 6 [size =\"25817088\"]\n  5 -> 7 [size =\"25817088\"]\n  6 [size=\"105374720\", alpha=\"0.04\", expect_size=\"42149888\"] \n  6 -> 8 [size =\"42149888\"]\n  7 [size=\"66419200\", alpha=\"0.15\", expect_size=\"26567680\"] \n  7 -> 8 [size =\"26567680\"]\n  7 -> 9 [size =\"26567680\"]\n  8 [size=\"108853760\", alpha=\"0.19\", expect_size=\"43541504\"] \n  9 [size=\"80176640\", alpha=\"0.10\", expect_size=\"32070656\"] \n  9 -> 10 [size =\"32070656\"]\n  10 [size=\"83804160\", alpha=\"0.20\", expect_size=\"33521664\"] \n  10 -> 11 [size =\"33521664\"]\n  10 -> 12 [size =\"33521664\"]\n  11 [size=\"34273280\", alpha=\"0.04\", expect_size=\"13709312\"] \n  11 -> 13 [size =\"13709312\"]\n  12 [size=\"80056320\", alpha=\"0.05\", expect_size=\"32022528\"] \n  13 [size=\"40179200\", alpha=\"0.12\", expect_size=\"16071680\"] \n  13 -> 14 [size =\"16071680\"]\n  13 -> 15 [size =\"16071680\"]\n  14 [size=\"60482560\", alpha=\"0.17\", expect_size=\"24193024\"] \n  15 [size=\"98071040\", alpha=\"0.03\", expect_size=\"39228416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44341248\", alpha=\"0.08\", expect_size=\"22170624\"] \n  1 -> 11 [size =\"22170624\"]\n  1 -> 14 [size =\"22170624\"]\n  2 [size=\"54697984\", alpha=\"0.11\", expect_size=\"27348992\"] \n  2 -> 12 [size =\"27348992\"]\n  3 [size=\"28104704\", alpha=\"0.05\", expect_size=\"14052352\"] \n  3 -> 15 [size =\"14052352\"]\n  4 [size=\"30011392\", alpha=\"0.13\", expect_size=\"15005696\"] \n  4 -> 12 [size =\"15005696\"]\n  4 -> 13 [size =\"15005696\"]\n  4 -> 15 [size =\"15005696\"]\n  5 [size=\"23650304\", alpha=\"0.14\", expect_size=\"11825152\"] \n  6 [size=\"75995136\", alpha=\"0.00\", expect_size=\"37997568\"] \n  7 [size=\"100696064\", alpha=\"0.15\", expect_size=\"50348032\"] \n  7 -> 11 [size =\"50348032\"]\n  7 -> 15 [size =\"50348032\"]\n  8 [size=\"37877760\", alpha=\"0.20\", expect_size=\"18938880\"] \n  8 -> 12 [size =\"18938880\"]\n  8 -> 15 [size =\"18938880\"]\n  9 [size=\"68288512\", alpha=\"0.16\", expect_size=\"34144256\"] \n  9 -> 11 [size =\"34144256\"]\n  9 -> 12 [size =\"34144256\"]\n  10 [size=\"45803520\", alpha=\"0.17\", expect_size=\"22901760\"] \n  11 [size=\"48502784\", alpha=\"0.11\", expect_size=\"24251392\"] \n  12 [size=\"87437312\", alpha=\"0.08\", expect_size=\"43718656\"] \n  13 [size=\"45457408\", alpha=\"0.03\", expect_size=\"22728704\"] \n  14 [size=\"68663296\", alpha=\"0.04\", expect_size=\"34331648\"] \n  15 [size=\"35086336\", alpha=\"0.08\", expect_size=\"17543168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41000960\", alpha=\"0.08\", expect_size=\"12300288\"] \n  1 -> 3 [size =\"12300288\"]\n  1 -> 4 [size =\"12300288\"]\n  1 -> 5 [size =\"12300288\"]\n  2 [size=\"59951787\", alpha=\"0.07\", expect_size=\"17985536\"] \n  2 -> 3 [size =\"17985536\"]\n  2 -> 4 [size =\"17985536\"]\n  2 -> 5 [size =\"17985536\"]\n  3 [size=\"57442987\", alpha=\"0.13\", expect_size=\"17232896\"] \n  3 -> 6 [size =\"17232896\"]\n  3 -> 7 [size =\"17232896\"]\n  4 [size=\"110673920\", alpha=\"0.13\", expect_size=\"33202176\"] \n  4 -> 6 [size =\"33202176\"]\n  4 -> 7 [size =\"33202176\"]\n  5 [size=\"151637333\", alpha=\"0.13\", expect_size=\"45491200\"] \n  5 -> 6 [size =\"45491200\"]\n  5 -> 7 [size =\"45491200\"]\n  6 [size=\"119552000\", alpha=\"0.14\", expect_size=\"35865600\"] \n  6 -> 8 [size =\"35865600\"]\n  6 -> 9 [size =\"35865600\"]\n  7 [size=\"168744960\", alpha=\"0.15\", expect_size=\"50623488\"] \n  7 -> 8 [size =\"50623488\"]\n  7 -> 9 [size =\"50623488\"]\n  8 [size=\"98109440\", alpha=\"0.06\", expect_size=\"29432832\"] \n  8 -> 10 [size =\"29432832\"]\n  8 -> 11 [size =\"29432832\"]\n  9 [size=\"141817173\", alpha=\"0.15\", expect_size=\"42545152\"] \n  9 -> 10 [size =\"42545152\"]\n  10 [size=\"33020587\", alpha=\"0.03\", expect_size=\"9906176\"] \n  10 -> 12 [size =\"9906176\"]\n  10 -> 13 [size =\"9906176\"]\n  11 [size=\"127337813\", alpha=\"0.19\", expect_size=\"38201344\"] \n  11 -> 13 [size =\"38201344\"]\n  12 [size=\"34088960\", alpha=\"0.00\", expect_size=\"10226688\"] \n  13 [size=\"91938133\", alpha=\"0.13\", expect_size=\"27581440\"] \n  13 -> 14 [size =\"27581440\"]\n  13 -> 15 [size =\"27581440\"]\n  14 [size=\"35751253\", alpha=\"0.08\", expect_size=\"10725376\"] \n  15 [size=\"139260587\", alpha=\"0.10\", expect_size=\"41778176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66168320\", alpha=\"0.17\", expect_size=\"26467328\"] \n  1 -> 9 [size =\"26467328\"]\n  1 -> 10 [size =\"26467328\"]\n  1 -> 11 [size =\"26467328\"]\n  1 -> 12 [size =\"26467328\"]\n  2 [size=\"51233280\", alpha=\"0.18\", expect_size=\"20493312\"] \n  2 -> 8 [size =\"20493312\"]\n  2 -> 9 [size =\"20493312\"]\n  2 -> 10 [size =\"20493312\"]\n  2 -> 12 [size =\"20493312\"]\n  3 [size=\"22336000\", alpha=\"0.07\", expect_size=\"8934400\"] \n  4 [size=\"33456640\", alpha=\"0.02\", expect_size=\"13382656\"] \n  4 -> 7 [size =\"13382656\"]\n  4 -> 11 [size =\"13382656\"]\n  4 -> 12 [size =\"13382656\"]\n  5 [size=\"79705600\", alpha=\"0.15\", expect_size=\"31882240\"] \n  5 -> 6 [size =\"31882240\"]\n  5 -> 9 [size =\"31882240\"]\n  6 [size=\"18739200\", alpha=\"0.05\", expect_size=\"7495680\"] \n  7 [size=\"103695360\", alpha=\"0.16\", expect_size=\"41478144\"] \n  7 -> 13 [size =\"41478144\"]\n  7 -> 15 [size =\"41478144\"]\n  8 [size=\"91950080\", alpha=\"0.10\", expect_size=\"36780032\"] \n  8 -> 13 [size =\"36780032\"]\n  9 [size=\"88156160\", alpha=\"0.13\", expect_size=\"35262464\"] \n  9 -> 13 [size =\"35262464\"]\n  10 [size=\"74723840\", alpha=\"0.07\", expect_size=\"29889536\"] \n  11 [size=\"83776000\", alpha=\"0.10\", expect_size=\"33510400\"] \n  11 -> 15 [size =\"33510400\"]\n  12 [size=\"67338240\", alpha=\"0.15\", expect_size=\"26935296\"] \n  12 -> 14 [size =\"26935296\"]\n  12 -> 15 [size =\"26935296\"]\n  13 [size=\"57815040\", alpha=\"0.01\", expect_size=\"23126016\"] \n  14 [size=\"101130240\", alpha=\"0.18\", expect_size=\"40452096\"] \n  15 [size=\"115409920\", alpha=\"0.17\", expect_size=\"46163968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86739627\", alpha=\"0.11\", expect_size=\"26021888\"] \n  1 -> 2 [size =\"26021888\"]\n  2 [size=\"36997120\", alpha=\"0.10\", expect_size=\"11099136\"] \n  2 -> 3 [size =\"11099136\"]\n  3 [size=\"123968853\", alpha=\"0.08\", expect_size=\"37190656\"] \n  3 -> 4 [size =\"37190656\"]\n  4 [size=\"151681707\", alpha=\"0.12\", expect_size=\"45504512\"] \n  4 -> 5 [size =\"45504512\"]\n  5 [size=\"51814400\", alpha=\"0.02\", expect_size=\"15544320\"] \n  5 -> 6 [size =\"15544320\"]\n  6 [size=\"153579520\", alpha=\"0.00\", expect_size=\"46073856\"] \n  6 -> 7 [size =\"46073856\"]\n  7 [size=\"72369493\", alpha=\"0.09\", expect_size=\"21710848\"] \n  7 -> 8 [size =\"21710848\"]\n  8 [size=\"154443093\", alpha=\"0.12\", expect_size=\"46332928\"] \n  8 -> 9 [size =\"46332928\"]\n  9 [size=\"49694720\", alpha=\"0.18\", expect_size=\"14908416\"] \n  9 -> 10 [size =\"14908416\"]\n  10 [size=\"26200747\", alpha=\"0.09\", expect_size=\"7860224\"] \n  10 -> 11 [size =\"7860224\"]\n  11 [size=\"40816640\", alpha=\"0.09\", expect_size=\"12244992\"] \n  11 -> 12 [size =\"12244992\"]\n  12 [size=\"128617813\", alpha=\"0.02\", expect_size=\"38585344\"] \n  12 -> 13 [size =\"38585344\"]\n  13 [size=\"46650027\", alpha=\"0.15\", expect_size=\"13995008\"] \n  13 -> 14 [size =\"13995008\"]\n  14 [size=\"110667093\", alpha=\"0.02\", expect_size=\"33200128\"] \n  14 -> 15 [size =\"33200128\"]\n  15 [size=\"48155307\", alpha=\"0.02\", expect_size=\"14446592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151900160\", alpha=\"0.12\", expect_size=\"45570048\"] \n  1 -> 2 [size =\"45570048\"]\n  2 [size=\"18169173\", alpha=\"0.02\", expect_size=\"5450752\"] \n  2 -> 3 [size =\"5450752\"]\n  3 [size=\"139834027\", alpha=\"0.03\", expect_size=\"41950208\"] \n  3 -> 4 [size =\"41950208\"]\n  4 [size=\"143790080\", alpha=\"0.00\", expect_size=\"43137024\"] \n  4 -> 5 [size =\"43137024\"]\n  5 [size=\"32849920\", alpha=\"0.04\", expect_size=\"9854976\"] \n  5 -> 6 [size =\"9854976\"]\n  6 [size=\"30552747\", alpha=\"0.09\", expect_size=\"9165824\"] \n  6 -> 7 [size =\"9165824\"]\n  7 [size=\"44035413\", alpha=\"0.16\", expect_size=\"13210624\"] \n  7 -> 8 [size =\"13210624\"]\n  8 [size=\"116322987\", alpha=\"0.10\", expect_size=\"34896896\"] \n  8 -> 9 [size =\"34896896\"]\n  9 [size=\"106960213\", alpha=\"0.07\", expect_size=\"32088064\"] \n  9 -> 10 [size =\"32088064\"]\n  10 [size=\"54910293\", alpha=\"0.09\", expect_size=\"16473088\"] \n  10 -> 11 [size =\"16473088\"]\n  11 [size=\"65901227\", alpha=\"0.16\", expect_size=\"19770368\"] \n  11 -> 12 [size =\"19770368\"]\n  12 [size=\"157047467\", alpha=\"0.16\", expect_size=\"47114240\"] \n  12 -> 13 [size =\"47114240\"]\n  13 [size=\"17872213\", alpha=\"0.17\", expect_size=\"5361664\"] \n  13 -> 14 [size =\"5361664\"]\n  14 [size=\"39816533\", alpha=\"0.03\", expect_size=\"11944960\"] \n  14 -> 15 [size =\"11944960\"]\n  15 [size=\"41526613\", alpha=\"0.06\", expect_size=\"12457984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44189696\", alpha=\"0.20\", expect_size=\"22094848\"] \n  1 -> 4 [size =\"22094848\"]\n  2 [size=\"31490048\", alpha=\"0.16\", expect_size=\"15745024\"] \n  2 -> 3 [size =\"15745024\"]\n  3 [size=\"79413248\", alpha=\"0.08\", expect_size=\"39706624\"] \n  3 -> 5 [size =\"39706624\"]\n  3 -> 6 [size =\"39706624\"]\n  4 [size=\"40124416\", alpha=\"0.08\", expect_size=\"20062208\"] \n  5 [size=\"55812096\", alpha=\"0.06\", expect_size=\"27906048\"] \n  5 -> 8 [size =\"27906048\"]\n  6 [size=\"37214208\", alpha=\"0.00\", expect_size=\"18607104\"] \n  6 -> 7 [size =\"18607104\"]\n  7 [size=\"91197440\", alpha=\"0.17\", expect_size=\"45598720\"] \n  8 [size=\"44544000\", alpha=\"0.11\", expect_size=\"22272000\"] \n  8 -> 9 [size =\"22272000\"]\n  9 [size=\"15484928\", alpha=\"0.19\", expect_size=\"7742464\"] \n  9 -> 10 [size =\"7742464\"]\n  10 [size=\"48732160\", alpha=\"0.20\", expect_size=\"24366080\"] \n  10 -> 11 [size =\"24366080\"]\n  11 [size=\"17905664\", alpha=\"0.10\", expect_size=\"8952832\"] \n  11 -> 12 [size =\"8952832\"]\n  12 [size=\"16453632\", alpha=\"0.01\", expect_size=\"8226816\"] \n  12 -> 13 [size =\"8226816\"]\n  13 [size=\"90583040\", alpha=\"0.13\", expect_size=\"45291520\"] \n  13 -> 14 [size =\"45291520\"]\n  13 -> 15 [size =\"45291520\"]\n  14 [size=\"34394112\", alpha=\"0.09\", expect_size=\"17197056\"] \n  15 [size=\"72390656\", alpha=\"0.17\", expect_size=\"36195328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92841984\", alpha=\"0.06\", expect_size=\"46420992\"] \n  1 -> 2 [size =\"46420992\"]\n  1 -> 3 [size =\"46420992\"]\n  2 [size=\"40855552\", alpha=\"0.04\", expect_size=\"20427776\"] \n  3 [size=\"18806784\", alpha=\"0.16\", expect_size=\"9403392\"] \n  3 -> 4 [size =\"9403392\"]\n  4 [size=\"70027264\", alpha=\"0.10\", expect_size=\"35013632\"] \n  4 -> 5 [size =\"35013632\"]\n  4 -> 6 [size =\"35013632\"]\n  5 [size=\"93288448\", alpha=\"0.05\", expect_size=\"46644224\"] \n  5 -> 7 [size =\"46644224\"]\n  6 [size=\"79495168\", alpha=\"0.08\", expect_size=\"39747584\"] \n  6 -> 7 [size =\"39747584\"]\n  6 -> 8 [size =\"39747584\"]\n  7 [size=\"60235776\", alpha=\"0.01\", expect_size=\"30117888\"] \n  7 -> 9 [size =\"30117888\"]\n  7 -> 10 [size =\"30117888\"]\n  8 [size=\"80926720\", alpha=\"0.07\", expect_size=\"40463360\"] \n  8 -> 9 [size =\"40463360\"]\n  8 -> 10 [size =\"40463360\"]\n  9 [size=\"64745472\", alpha=\"0.04\", expect_size=\"32372736\"] \n  9 -> 11 [size =\"32372736\"]\n  9 -> 12 [size =\"32372736\"]\n  10 [size=\"24150016\", alpha=\"0.07\", expect_size=\"12075008\"] \n  10 -> 11 [size =\"12075008\"]\n  11 [size=\"103174144\", alpha=\"0.04\", expect_size=\"51587072\"] \n  11 -> 13 [size =\"51587072\"]\n  12 [size=\"35315712\", alpha=\"0.14\", expect_size=\"17657856\"] \n  12 -> 13 [size =\"17657856\"]\n  13 [size=\"53948416\", alpha=\"0.07\", expect_size=\"26974208\"] \n  13 -> 14 [size =\"26974208\"]\n  14 [size=\"33425408\", alpha=\"0.15\", expect_size=\"16712704\"] \n  14 -> 15 [size =\"16712704\"]\n  15 [size=\"80730112\", alpha=\"0.08\", expect_size=\"40365056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21161984\", alpha=\"0.13\", expect_size=\"10580992\"] \n  1 -> 2 [size =\"10580992\"]\n  2 [size=\"26032128\", alpha=\"0.11\", expect_size=\"13016064\"] \n  2 -> 3 [size =\"13016064\"]\n  3 [size=\"67545088\", alpha=\"0.17\", expect_size=\"33772544\"] \n  3 -> 4 [size =\"33772544\"]\n  4 [size=\"74864640\", alpha=\"0.15\", expect_size=\"37432320\"] \n  4 -> 5 [size =\"37432320\"]\n  5 [size=\"36194304\", alpha=\"0.12\", expect_size=\"18097152\"] \n  5 -> 6 [size =\"18097152\"]\n  6 [size=\"84185088\", alpha=\"0.16\", expect_size=\"42092544\"] \n  6 -> 7 [size =\"42092544\"]\n  7 [size=\"27684864\", alpha=\"0.15\", expect_size=\"13842432\"] \n  7 -> 8 [size =\"13842432\"]\n  8 [size=\"54495232\", alpha=\"0.04\", expect_size=\"27247616\"] \n  8 -> 9 [size =\"27247616\"]\n  9 [size=\"33054720\", alpha=\"0.02\", expect_size=\"16527360\"] \n  9 -> 10 [size =\"16527360\"]\n  10 [size=\"46233600\", alpha=\"0.01\", expect_size=\"23116800\"] \n  10 -> 11 [size =\"23116800\"]\n  11 [size=\"47974400\", alpha=\"0.20\", expect_size=\"23987200\"] \n  11 -> 12 [size =\"23987200\"]\n  12 [size=\"16240640\", alpha=\"0.09\", expect_size=\"8120320\"] \n  12 -> 13 [size =\"8120320\"]\n  13 [size=\"67917824\", alpha=\"0.14\", expect_size=\"33958912\"] \n  13 -> 14 [size =\"33958912\"]\n  14 [size=\"55089152\", alpha=\"0.18\", expect_size=\"27544576\"] \n  14 -> 15 [size =\"27544576\"]\n  15 [size=\"33077248\", alpha=\"0.12\", expect_size=\"16538624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102253227\", alpha=\"0.04\", expect_size=\"30675968\"] \n  1 -> 13 [size =\"30675968\"]\n  1 -> 14 [size =\"30675968\"]\n  2 [size=\"114786987\", alpha=\"0.04\", expect_size=\"34436096\"] \n  2 -> 12 [size =\"34436096\"]\n  2 -> 14 [size =\"34436096\"]\n  3 [size=\"18944000\", alpha=\"0.12\", expect_size=\"5683200\"] \n  4 [size=\"67822933\", alpha=\"0.12\", expect_size=\"20346880\"] \n  4 -> 13 [size =\"20346880\"]\n  5 [size=\"20534613\", alpha=\"0.02\", expect_size=\"6160384\"] \n  5 -> 13 [size =\"6160384\"]\n  6 [size=\"32648533\", alpha=\"0.03\", expect_size=\"9794560\"] \n  7 [size=\"34286933\", alpha=\"0.11\", expect_size=\"10286080\"] \n  8 [size=\"48346453\", alpha=\"0.06\", expect_size=\"14503936\"] \n  8 -> 13 [size =\"14503936\"]\n  8 -> 14 [size =\"14503936\"]\n  9 [size=\"135260160\", alpha=\"0.12\", expect_size=\"40578048\"] \n  9 -> 14 [size =\"40578048\"]\n  9 -> 15 [size =\"40578048\"]\n  10 [size=\"143926613\", alpha=\"0.02\", expect_size=\"43177984\"] \n  10 -> 14 [size =\"43177984\"]\n  11 [size=\"67406507\", alpha=\"0.07\", expect_size=\"20221952\"] \n  11 -> 13 [size =\"20221952\"]\n  12 [size=\"97918293\", alpha=\"0.12\", expect_size=\"29375488\"] \n  13 [size=\"133014187\", alpha=\"0.00\", expect_size=\"39904256\"] \n  14 [size=\"67485013\", alpha=\"0.08\", expect_size=\"20245504\"] \n  15 [size=\"161297067\", alpha=\"0.04\", expect_size=\"48389120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97385813\", alpha=\"0.16\", expect_size=\"29215744\"] \n  1 -> 13 [size =\"29215744\"]\n  2 [size=\"53254827\", alpha=\"0.12\", expect_size=\"15976448\"] \n  2 -> 11 [size =\"15976448\"]\n  2 -> 14 [size =\"15976448\"]\n  3 [size=\"78175573\", alpha=\"0.08\", expect_size=\"23452672\"] \n  3 -> 11 [size =\"23452672\"]\n  4 [size=\"169424213\", alpha=\"0.11\", expect_size=\"50827264\"] \n  4 -> 14 [size =\"50827264\"]\n  5 [size=\"18254507\", alpha=\"0.06\", expect_size=\"5476352\"] \n  5 -> 14 [size =\"5476352\"]\n  6 [size=\"48363520\", alpha=\"0.06\", expect_size=\"14509056\"] \n  6 -> 11 [size =\"14509056\"]\n  6 -> 14 [size =\"14509056\"]\n  6 -> 15 [size =\"14509056\"]\n  7 [size=\"127180800\", alpha=\"0.04\", expect_size=\"38154240\"] \n  7 -> 15 [size =\"38154240\"]\n  8 [size=\"35225600\", alpha=\"0.13\", expect_size=\"10567680\"] \n  8 -> 15 [size =\"10567680\"]\n  9 [size=\"48080213\", alpha=\"0.18\", expect_size=\"14424064\"] \n  9 -> 12 [size =\"14424064\"]\n  10 [size=\"132072107\", alpha=\"0.01\", expect_size=\"39621632\"] \n  10 -> 15 [size =\"39621632\"]\n  11 [size=\"61999787\", alpha=\"0.03\", expect_size=\"18599936\"] \n  12 [size=\"29832533\", alpha=\"0.04\", expect_size=\"8949760\"] \n  13 [size=\"120432640\", alpha=\"0.17\", expect_size=\"36129792\"] \n  14 [size=\"28194133\", alpha=\"0.05\", expect_size=\"8458240\"] \n  15 [size=\"111988053\", alpha=\"0.06\", expect_size=\"33596416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92316160\", alpha=\"0.17\", expect_size=\"36926464\"] \n  1 -> 3 [size =\"36926464\"]\n  1 -> 4 [size =\"36926464\"]\n  1 -> 6 [size =\"36926464\"]\n  2 [size=\"64878080\", alpha=\"0.14\", expect_size=\"25951232\"] \n  2 -> 3 [size =\"25951232\"]\n  2 -> 4 [size =\"25951232\"]\n  2 -> 5 [size =\"25951232\"]\n  2 -> 6 [size =\"25951232\"]\n  3 [size=\"30072320\", alpha=\"0.19\", expect_size=\"12028928\"] \n  4 [size=\"94689280\", alpha=\"0.19\", expect_size=\"37875712\"] \n  4 -> 7 [size =\"37875712\"]\n  5 [size=\"86085120\", alpha=\"0.17\", expect_size=\"34434048\"] \n  6 [size=\"85585920\", alpha=\"0.13\", expect_size=\"34234368\"] \n  7 [size=\"28592640\", alpha=\"0.12\", expect_size=\"11437056\"] \n  7 -> 8 [size =\"11437056\"]\n  7 -> 9 [size =\"11437056\"]\n  7 -> 10 [size =\"11437056\"]\n  8 [size=\"26234880\", alpha=\"0.16\", expect_size=\"10493952\"] \n  9 [size=\"70469120\", alpha=\"0.18\", expect_size=\"28187648\"] \n  9 -> 11 [size =\"28187648\"]\n  9 -> 12 [size =\"28187648\"]\n  10 [size=\"41640960\", alpha=\"0.02\", expect_size=\"16656384\"] \n  10 -> 11 [size =\"16656384\"]\n  10 -> 12 [size =\"16656384\"]\n  11 [size=\"70366720\", alpha=\"0.02\", expect_size=\"28146688\"] \n  11 -> 13 [size =\"28146688\"]\n  12 [size=\"53176320\", alpha=\"0.08\", expect_size=\"21270528\"] \n  12 -> 13 [size =\"21270528\"]\n  12 -> 14 [size =\"21270528\"]\n  13 [size=\"17699840\", alpha=\"0.08\", expect_size=\"7079936\"] \n  14 [size=\"13864960\", alpha=\"0.12\", expect_size=\"5545984\"] \n  14 -> 15 [size =\"5545984\"]\n  15 [size=\"126699520\", alpha=\"0.09\", expect_size=\"50679808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126136320\", alpha=\"0.02\", expect_size=\"50454528\"] \n  1 -> 4 [size =\"50454528\"]\n  2 [size=\"14860800\", alpha=\"0.12\", expect_size=\"5944320\"] \n  2 -> 6 [size =\"5944320\"]\n  3 [size=\"71083520\", alpha=\"0.19\", expect_size=\"28433408\"] \n  3 -> 4 [size =\"28433408\"]\n  3 -> 5 [size =\"28433408\"]\n  4 [size=\"57280000\", alpha=\"0.15\", expect_size=\"22912000\"] \n  4 -> 7 [size =\"22912000\"]\n  5 [size=\"51845120\", alpha=\"0.20\", expect_size=\"20738048\"] \n  6 [size=\"64448000\", alpha=\"0.12\", expect_size=\"25779200\"] \n  6 -> 7 [size =\"25779200\"]\n  6 -> 8 [size =\"25779200\"]\n  7 [size=\"79864320\", alpha=\"0.01\", expect_size=\"31945728\"] \n  8 [size=\"125468160\", alpha=\"0.20\", expect_size=\"50187264\"] \n  8 -> 9 [size =\"50187264\"]\n  8 -> 10 [size =\"50187264\"]\n  9 [size=\"129318400\", alpha=\"0.14\", expect_size=\"51727360\"] \n  9 -> 11 [size =\"51727360\"]\n  9 -> 12 [size =\"51727360\"]\n  10 [size=\"37079040\", alpha=\"0.04\", expect_size=\"14831616\"] \n  10 -> 13 [size =\"14831616\"]\n  11 [size=\"109035520\", alpha=\"0.19\", expect_size=\"43614208\"] \n  11 -> 14 [size =\"43614208\"]\n  12 [size=\"121638400\", alpha=\"0.08\", expect_size=\"48655360\"] \n  13 [size=\"75898880\", alpha=\"0.13\", expect_size=\"30359552\"] \n  13 -> 15 [size =\"30359552\"]\n  14 [size=\"72299520\", alpha=\"0.04\", expect_size=\"28919808\"] \n  15 [size=\"42920960\", alpha=\"0.12\", expect_size=\"17168384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163744427\", alpha=\"0.05\", expect_size=\"49123328\"] \n  2 [size=\"173957120\", alpha=\"0.09\", expect_size=\"52187136\"] \n  2 -> 12 [size =\"52187136\"]\n  2 -> 13 [size =\"52187136\"]\n  2 -> 15 [size =\"52187136\"]\n  3 [size=\"69495467\", alpha=\"0.10\", expect_size=\"20848640\"] \n  4 [size=\"58709333\", alpha=\"0.09\", expect_size=\"17612800\"] \n  5 [size=\"86463147\", alpha=\"0.15\", expect_size=\"25938944\"] \n  5 -> 15 [size =\"25938944\"]\n  6 [size=\"66413227\", alpha=\"0.11\", expect_size=\"19923968\"] \n  7 [size=\"139618987\", alpha=\"0.16\", expect_size=\"41885696\"] \n  7 -> 12 [size =\"41885696\"]\n  8 [size=\"108905813\", alpha=\"0.20\", expect_size=\"32671744\"] \n  8 -> 12 [size =\"32671744\"]\n  8 -> 13 [size =\"32671744\"]\n  8 -> 14 [size =\"32671744\"]\n  9 [size=\"154494293\", alpha=\"0.03\", expect_size=\"46348288\"] \n  9 -> 13 [size =\"46348288\"]\n  9 -> 14 [size =\"46348288\"]\n  10 [size=\"54633813\", alpha=\"0.13\", expect_size=\"16390144\"] \n  10 -> 13 [size =\"16390144\"]\n  11 [size=\"110786560\", alpha=\"0.06\", expect_size=\"33235968\"] \n  11 -> 15 [size =\"33235968\"]\n  12 [size=\"152463360\", alpha=\"0.04\", expect_size=\"45739008\"] \n  13 [size=\"63228587\", alpha=\"0.02\", expect_size=\"18968576\"] \n  14 [size=\"139479040\", alpha=\"0.03\", expect_size=\"41843712\"] \n  15 [size=\"51602773\", alpha=\"0.18\", expect_size=\"15480832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70156288\", alpha=\"0.12\", expect_size=\"35078144\"] \n  2 [size=\"59758592\", alpha=\"0.00\", expect_size=\"29879296\"] \n  3 [size=\"10799104\", alpha=\"0.18\", expect_size=\"5399552\"] \n  3 -> 8 [size =\"5399552\"]\n  4 [size=\"14702592\", alpha=\"0.03\", expect_size=\"7351296\"] \n  5 [size=\"69824512\", alpha=\"0.10\", expect_size=\"34912256\"] \n  5 -> 7 [size =\"34912256\"]\n  5 -> 9 [size =\"34912256\"]\n  6 [size=\"47757312\", alpha=\"0.15\", expect_size=\"23878656\"] \n  6 -> 8 [size =\"23878656\"]\n  6 -> 10 [size =\"23878656\"]\n  7 [size=\"30795776\", alpha=\"0.19\", expect_size=\"15397888\"] \n  7 -> 12 [size =\"15397888\"]\n  7 -> 14 [size =\"15397888\"]\n  8 [size=\"99203072\", alpha=\"0.02\", expect_size=\"49601536\"] \n  8 -> 11 [size =\"49601536\"]\n  8 -> 13 [size =\"49601536\"]\n  9 [size=\"87975936\", alpha=\"0.04\", expect_size=\"43987968\"] \n  10 [size=\"63072256\", alpha=\"0.04\", expect_size=\"31536128\"] \n  10 -> 14 [size =\"31536128\"]\n  11 [size=\"92268544\", alpha=\"0.13\", expect_size=\"46134272\"] \n  12 [size=\"56711168\", alpha=\"0.12\", expect_size=\"28355584\"] \n  13 [size=\"58742784\", alpha=\"0.03\", expect_size=\"29371392\"] \n  14 [size=\"49080320\", alpha=\"0.12\", expect_size=\"24540160\"] \n  14 -> 15 [size =\"24540160\"]\n  15 [size=\"61360128\", alpha=\"0.18\", expect_size=\"30680064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18705067\", alpha=\"0.19\", expect_size=\"5611520\"] \n  2 [size=\"96034133\", alpha=\"0.17\", expect_size=\"28810240\"] \n  3 [size=\"34938880\", alpha=\"0.04\", expect_size=\"10481664\"] \n  4 [size=\"99392853\", alpha=\"0.14\", expect_size=\"29817856\"] \n  5 [size=\"119156053\", alpha=\"0.01\", expect_size=\"35746816\"] \n  6 [size=\"94522027\", alpha=\"0.17\", expect_size=\"28356608\"] \n  7 [size=\"51466240\", alpha=\"0.07\", expect_size=\"15439872\"] \n  8 [size=\"114664107\", alpha=\"0.18\", expect_size=\"34399232\"] \n  9 [size=\"158296747\", alpha=\"0.00\", expect_size=\"47489024\"] \n  10 [size=\"96484693\", alpha=\"0.18\", expect_size=\"28945408\"] \n  11 [size=\"88989013\", alpha=\"0.01\", expect_size=\"26696704\"] \n  12 [size=\"80984747\", alpha=\"0.18\", expect_size=\"24295424\"] \n  13 [size=\"56572587\", alpha=\"0.09\", expect_size=\"16971776\"] \n  14 [size=\"86534827\", alpha=\"0.08\", expect_size=\"25960448\"] \n  15 [size=\"39348907\", alpha=\"0.06\", expect_size=\"11804672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17582080\", alpha=\"0.08\", expect_size=\"5274624\"] \n  1 -> 2 [size =\"5274624\"]\n  2 [size=\"169437867\", alpha=\"0.08\", expect_size=\"50831360\"] \n  2 -> 3 [size =\"50831360\"]\n  2 -> 4 [size =\"50831360\"]\n  3 [size=\"136287573\", alpha=\"0.04\", expect_size=\"40886272\"] \n  4 [size=\"170291200\", alpha=\"0.06\", expect_size=\"51087360\"] \n  4 -> 5 [size =\"51087360\"]\n  5 [size=\"151937707\", alpha=\"0.12\", expect_size=\"45581312\"] \n  5 -> 6 [size =\"45581312\"]\n  6 [size=\"80254293\", alpha=\"0.02\", expect_size=\"24076288\"] \n  6 -> 7 [size =\"24076288\"]\n  7 [size=\"38737920\", alpha=\"0.09\", expect_size=\"11621376\"] \n  7 -> 8 [size =\"11621376\"]\n  7 -> 9 [size =\"11621376\"]\n  8 [size=\"155450027\", alpha=\"0.16\", expect_size=\"46635008\"] \n  8 -> 10 [size =\"46635008\"]\n  8 -> 11 [size =\"46635008\"]\n  9 [size=\"47745707\", alpha=\"0.10\", expect_size=\"14323712\"] \n  9 -> 10 [size =\"14323712\"]\n  9 -> 11 [size =\"14323712\"]\n  10 [size=\"72632320\", alpha=\"0.11\", expect_size=\"21789696\"] \n  10 -> 12 [size =\"21789696\"]\n  11 [size=\"29706240\", alpha=\"0.16\", expect_size=\"8911872\"] \n  11 -> 12 [size =\"8911872\"]\n  12 [size=\"89582933\", alpha=\"0.03\", expect_size=\"26874880\"] \n  12 -> 13 [size =\"26874880\"]\n  13 [size=\"150592853\", alpha=\"0.14\", expect_size=\"45177856\"] \n  13 -> 14 [size =\"45177856\"]\n  14 [size=\"24842240\", alpha=\"0.14\", expect_size=\"7452672\"] \n  14 -> 15 [size =\"7452672\"]\n  15 [size=\"71430827\", alpha=\"0.11\", expect_size=\"21429248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91266560\", alpha=\"0.15\", expect_size=\"36506624\"] \n  2 [size=\"100218880\", alpha=\"0.16\", expect_size=\"40087552\"] \n  3 [size=\"47846400\", alpha=\"0.01\", expect_size=\"19138560\"] \n  4 [size=\"79475200\", alpha=\"0.06\", expect_size=\"31790080\"] \n  5 [size=\"55352320\", alpha=\"0.18\", expect_size=\"22140928\"] \n  6 [size=\"98224640\", alpha=\"0.03\", expect_size=\"39289856\"] \n  7 [size=\"56704000\", alpha=\"0.12\", expect_size=\"22681600\"] \n  8 [size=\"64565760\", alpha=\"0.06\", expect_size=\"25826304\"] \n  9 [size=\"50928640\", alpha=\"0.06\", expect_size=\"20371456\"] \n  10 [size=\"117112320\", alpha=\"0.18\", expect_size=\"46844928\"] \n  11 [size=\"103782400\", alpha=\"0.15\", expect_size=\"41512960\"] \n  12 [size=\"72030720\", alpha=\"0.10\", expect_size=\"28812288\"] \n  13 [size=\"47298560\", alpha=\"0.05\", expect_size=\"18919424\"] \n  14 [size=\"50941440\", alpha=\"0.16\", expect_size=\"20376576\"] \n  15 [size=\"87183360\", alpha=\"0.14\", expect_size=\"34873344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89210880\", alpha=\"0.02\", expect_size=\"26763264\"] \n  1 -> 10 [size =\"26763264\"]\n  1 -> 11 [size =\"26763264\"]\n  1 -> 15 [size =\"26763264\"]\n  2 [size=\"49360213\", alpha=\"0.18\", expect_size=\"14808064\"] \n  2 -> 9 [size =\"14808064\"]\n  2 -> 10 [size =\"14808064\"]\n  2 -> 11 [size =\"14808064\"]\n  2 -> 13 [size =\"14808064\"]\n  2 -> 14 [size =\"14808064\"]\n  2 -> 15 [size =\"14808064\"]\n  3 [size=\"156712960\", alpha=\"0.12\", expect_size=\"47013888\"] \n  3 -> 10 [size =\"47013888\"]\n  3 -> 10 [size =\"47013888\"]\n  3 -> 13 [size =\"47013888\"]\n  3 -> 14 [size =\"47013888\"]\n  3 -> 14 [size =\"47013888\"]\n  4 [size=\"156006400\", alpha=\"0.19\", expect_size=\"46801920\"] \n  4 -> 9 [size =\"46801920\"]\n  4 -> 10 [size =\"46801920\"]\n  4 -> 14 [size =\"46801920\"]\n  4 -> 14 [size =\"46801920\"]\n  5 [size=\"73212587\", alpha=\"0.12\", expect_size=\"21963776\"] \n  5 -> 10 [size =\"21963776\"]\n  5 -> 11 [size =\"21963776\"]\n  5 -> 12 [size =\"21963776\"]\n  5 -> 13 [size =\"21963776\"]\n  5 -> 14 [size =\"21963776\"]\n  5 -> 15 [size =\"21963776\"]\n  6 [size=\"88821760\", alpha=\"0.04\", expect_size=\"26646528\"] \n  6 -> 9 [size =\"26646528\"]\n  6 -> 13 [size =\"26646528\"]\n  6 -> 15 [size =\"26646528\"]\n  7 [size=\"17496747\", alpha=\"0.07\", expect_size=\"5249024\"] \n  7 -> 13 [size =\"5249024\"]\n  7 -> 15 [size =\"5249024\"]\n  7 -> 15 [size =\"5249024\"]\n  8 [size=\"142155093\", alpha=\"0.16\", expect_size=\"42646528\"] \n  8 -> 11 [size =\"42646528\"]\n  8 -> 14 [size =\"42646528\"]\n  8 -> 15 [size =\"42646528\"]\n  9 [size=\"169929387\", alpha=\"0.01\", expect_size=\"50978816\"] \n  10 [size=\"76533760\", alpha=\"0.03\", expect_size=\"22960128\"] \n  11 [size=\"74683733\", alpha=\"0.11\", expect_size=\"22405120\"] \n  12 [size=\"91340800\", alpha=\"0.11\", expect_size=\"27402240\"] \n  13 [size=\"73052160\", alpha=\"0.05\", expect_size=\"21915648\"] \n  14 [size=\"164369067\", alpha=\"0.17\", expect_size=\"49310720\"] \n  15 [size=\"158149973\", alpha=\"0.13\", expect_size=\"47444992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105267200\", alpha=\"0.14\", expect_size=\"31580160\"] \n  1 -> 2 [size =\"31580160\"]\n  2 [size=\"86586027\", alpha=\"0.08\", expect_size=\"25975808\"] \n  2 -> 3 [size =\"25975808\"]\n  3 [size=\"97140053\", alpha=\"0.06\", expect_size=\"29142016\"] \n  3 -> 4 [size =\"29142016\"]\n  4 [size=\"133051733\", alpha=\"0.05\", expect_size=\"39915520\"] \n  4 -> 5 [size =\"39915520\"]\n  5 [size=\"52469760\", alpha=\"0.11\", expect_size=\"15740928\"] \n  5 -> 6 [size =\"15740928\"]\n  6 [size=\"54149120\", alpha=\"0.07\", expect_size=\"16244736\"] \n  6 -> 7 [size =\"16244736\"]\n  7 [size=\"103936000\", alpha=\"0.08\", expect_size=\"31180800\"] \n  7 -> 8 [size =\"31180800\"]\n  7 -> 9 [size =\"31180800\"]\n  8 [size=\"104956587\", alpha=\"0.10\", expect_size=\"31486976\"] \n  9 [size=\"140943360\", alpha=\"0.00\", expect_size=\"42283008\"] \n  9 -> 10 [size =\"42283008\"]\n  10 [size=\"40738133\", alpha=\"0.14\", expect_size=\"12221440\"] \n  10 -> 11 [size =\"12221440\"]\n  11 [size=\"25736533\", alpha=\"0.01\", expect_size=\"7720960\"] \n  11 -> 12 [size =\"7720960\"]\n  12 [size=\"138919253\", alpha=\"0.10\", expect_size=\"41675776\"] \n  12 -> 13 [size =\"41675776\"]\n  12 -> 14 [size =\"41675776\"]\n  13 [size=\"46141440\", alpha=\"0.03\", expect_size=\"13842432\"] \n  13 -> 15 [size =\"13842432\"]\n  14 [size=\"92101973\", alpha=\"0.14\", expect_size=\"27630592\"] \n  15 [size=\"127890773\", alpha=\"0.11\", expect_size=\"38367232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59985920\", alpha=\"0.01\", expect_size=\"23994368\"] \n  2 [size=\"66432000\", alpha=\"0.02\", expect_size=\"26572800\"] \n  2 -> 6 [size =\"26572800\"]\n  3 [size=\"80506880\", alpha=\"0.03\", expect_size=\"32202752\"] \n  3 -> 6 [size =\"32202752\"]\n  3 -> 8 [size =\"32202752\"]\n  3 -> 11 [size =\"32202752\"]\n  3 -> 12 [size =\"32202752\"]\n  4 [size=\"96801280\", alpha=\"0.00\", expect_size=\"38720512\"] \n  4 -> 7 [size =\"38720512\"]\n  4 -> 9 [size =\"38720512\"]\n  5 [size=\"96599040\", alpha=\"0.12\", expect_size=\"38639616\"] \n  5 -> 10 [size =\"38639616\"]\n  5 -> 12 [size =\"38639616\"]\n  6 [size=\"103823360\", alpha=\"0.15\", expect_size=\"41529344\"] \n  6 -> 13 [size =\"41529344\"]\n  7 [size=\"51758080\", alpha=\"0.09\", expect_size=\"20703232\"] \n  8 [size=\"50542080\", alpha=\"0.13\", expect_size=\"20216832\"] \n  9 [size=\"13678080\", alpha=\"0.09\", expect_size=\"5471232\"] \n  9 -> 13 [size =\"5471232\"]\n  10 [size=\"38479360\", alpha=\"0.05\", expect_size=\"15391744\"] \n  10 -> 13 [size =\"15391744\"]\n  11 [size=\"114467840\", alpha=\"0.16\", expect_size=\"45787136\"] \n  11 -> 14 [size =\"45787136\"]\n  12 [size=\"121551360\", alpha=\"0.13\", expect_size=\"48620544\"] \n  12 -> 15 [size =\"48620544\"]\n  13 [size=\"17722880\", alpha=\"0.15\", expect_size=\"7089152\"] \n  14 [size=\"34608640\", alpha=\"0.19\", expect_size=\"13843456\"] \n  15 [size=\"34785280\", alpha=\"0.08\", expect_size=\"13914112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72697856\", alpha=\"0.00\", expect_size=\"36348928\"] \n  1 -> 2 [size =\"36348928\"]\n  2 [size=\"87922688\", alpha=\"0.06\", expect_size=\"43961344\"] \n  2 -> 3 [size =\"43961344\"]\n  3 [size=\"98138112\", alpha=\"0.06\", expect_size=\"49069056\"] \n  3 -> 4 [size =\"49069056\"]\n  4 [size=\"78399488\", alpha=\"0.06\", expect_size=\"39199744\"] \n  4 -> 5 [size =\"39199744\"]\n  5 [size=\"104525824\", alpha=\"0.03\", expect_size=\"52262912\"] \n  5 -> 6 [size =\"52262912\"]\n  6 [size=\"20201472\", alpha=\"0.06\", expect_size=\"10100736\"] \n  6 -> 7 [size =\"10100736\"]\n  7 [size=\"36276224\", alpha=\"0.13\", expect_size=\"18138112\"] \n  7 -> 8 [size =\"18138112\"]\n  8 [size=\"44800000\", alpha=\"0.04\", expect_size=\"22400000\"] \n  8 -> 9 [size =\"22400000\"]\n  9 [size=\"55394304\", alpha=\"0.17\", expect_size=\"27697152\"] \n  9 -> 10 [size =\"27697152\"]\n  10 [size=\"58634240\", alpha=\"0.00\", expect_size=\"29317120\"] \n  10 -> 11 [size =\"29317120\"]\n  11 [size=\"42391552\", alpha=\"0.07\", expect_size=\"21195776\"] \n  11 -> 12 [size =\"21195776\"]\n  12 [size=\"44201984\", alpha=\"0.14\", expect_size=\"22100992\"] \n  12 -> 13 [size =\"22100992\"]\n  13 [size=\"72497152\", alpha=\"0.07\", expect_size=\"36248576\"] \n  13 -> 14 [size =\"36248576\"]\n  14 [size=\"99819520\", alpha=\"0.11\", expect_size=\"49909760\"] \n  14 -> 15 [size =\"49909760\"]\n  15 [size=\"35960832\", alpha=\"0.01\", expect_size=\"17980416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14287360\", alpha=\"0.06\", expect_size=\"5714944\"] \n  1 -> 2 [size =\"5714944\"]\n  2 [size=\"47416320\", alpha=\"0.07\", expect_size=\"18966528\"] \n  2 -> 3 [size =\"18966528\"]\n  3 [size=\"107228160\", alpha=\"0.06\", expect_size=\"42891264\"] \n  3 -> 4 [size =\"42891264\"]\n  4 [size=\"72097280\", alpha=\"0.15\", expect_size=\"28838912\"] \n  4 -> 5 [size =\"28838912\"]\n  4 -> 6 [size =\"28838912\"]\n  5 [size=\"58260480\", alpha=\"0.13\", expect_size=\"23304192\"] \n  6 [size=\"63656960\", alpha=\"0.14\", expect_size=\"25462784\"] \n  6 -> 7 [size =\"25462784\"]\n  7 [size=\"79360000\", alpha=\"0.16\", expect_size=\"31744000\"] \n  7 -> 8 [size =\"31744000\"]\n  7 -> 9 [size =\"31744000\"]\n  8 [size=\"123937280\", alpha=\"0.19\", expect_size=\"49574912\"] \n  9 [size=\"81697280\", alpha=\"0.09\", expect_size=\"32678912\"] \n  9 -> 10 [size =\"32678912\"]\n  9 -> 11 [size =\"32678912\"]\n  10 [size=\"75374080\", alpha=\"0.05\", expect_size=\"30149632\"] \n  10 -> 12 [size =\"30149632\"]\n  11 [size=\"33369600\", alpha=\"0.03\", expect_size=\"13347840\"] \n  12 [size=\"71068160\", alpha=\"0.14\", expect_size=\"28427264\"] \n  12 -> 13 [size =\"28427264\"]\n  12 -> 14 [size =\"28427264\"]\n  13 [size=\"112453120\", alpha=\"0.11\", expect_size=\"44981248\"] \n  14 [size=\"32261120\", alpha=\"0.08\", expect_size=\"12904448\"] \n  14 -> 15 [size =\"12904448\"]\n  15 [size=\"121297920\", alpha=\"0.06\", expect_size=\"48519168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87268693\", alpha=\"0.17\", expect_size=\"26180608\"] \n  1 -> 2 [size =\"26180608\"]\n  2 [size=\"138687147\", alpha=\"0.13\", expect_size=\"41606144\"] \n  2 -> 3 [size =\"41606144\"]\n  3 [size=\"163932160\", alpha=\"0.03\", expect_size=\"49179648\"] \n  3 -> 4 [size =\"49179648\"]\n  4 [size=\"150459733\", alpha=\"0.07\", expect_size=\"45137920\"] \n  4 -> 5 [size =\"45137920\"]\n  5 [size=\"166567253\", alpha=\"0.04\", expect_size=\"49970176\"] \n  5 -> 6 [size =\"49970176\"]\n  6 [size=\"41427627\", alpha=\"0.18\", expect_size=\"12428288\"] \n  6 -> 7 [size =\"12428288\"]\n  7 [size=\"69416960\", alpha=\"0.18\", expect_size=\"20825088\"] \n  7 -> 8 [size =\"20825088\"]\n  8 [size=\"98962773\", alpha=\"0.19\", expect_size=\"29688832\"] \n  8 -> 9 [size =\"29688832\"]\n  9 [size=\"41093120\", alpha=\"0.02\", expect_size=\"12327936\"] \n  9 -> 10 [size =\"12327936\"]\n  10 [size=\"172414293\", alpha=\"0.01\", expect_size=\"51724288\"] \n  10 -> 11 [size =\"51724288\"]\n  11 [size=\"137106773\", alpha=\"0.15\", expect_size=\"41132032\"] \n  11 -> 12 [size =\"41132032\"]\n  12 [size=\"110114133\", alpha=\"0.08\", expect_size=\"33034240\"] \n  12 -> 13 [size =\"33034240\"]\n  13 [size=\"54650880\", alpha=\"0.11\", expect_size=\"16395264\"] \n  13 -> 14 [size =\"16395264\"]\n  14 [size=\"74840747\", alpha=\"0.03\", expect_size=\"22452224\"] \n  14 -> 15 [size =\"22452224\"]\n  15 [size=\"130266453\", alpha=\"0.01\", expect_size=\"39079936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105415680\", alpha=\"0.08\", expect_size=\"42166272\"] \n  1 -> 14 [size =\"42166272\"]\n  2 [size=\"87265280\", alpha=\"0.13\", expect_size=\"34906112\"] \n  2 -> 14 [size =\"34906112\"]\n  3 [size=\"41666560\", alpha=\"0.04\", expect_size=\"16666624\"] \n  4 [size=\"90685440\", alpha=\"0.11\", expect_size=\"36274176\"] \n  4 -> 13 [size =\"36274176\"]\n  5 [size=\"102474240\", alpha=\"0.12\", expect_size=\"40989696\"] \n  5 -> 15 [size =\"40989696\"]\n  6 [size=\"114042880\", alpha=\"0.19\", expect_size=\"45617152\"] \n  6 -> 12 [size =\"45617152\"]\n  7 [size=\"47403520\", alpha=\"0.01\", expect_size=\"18961408\"] \n  7 -> 12 [size =\"18961408\"]\n  7 -> 13 [size =\"18961408\"]\n  7 -> 14 [size =\"18961408\"]\n  8 [size=\"115640320\", alpha=\"0.11\", expect_size=\"46256128\"] \n  8 -> 12 [size =\"46256128\"]\n  8 -> 14 [size =\"46256128\"]\n  9 [size=\"45007360\", alpha=\"0.02\", expect_size=\"18002944\"] \n  9 -> 14 [size =\"18002944\"]\n  9 -> 15 [size =\"18002944\"]\n  10 [size=\"109959680\", alpha=\"0.13\", expect_size=\"43983872\"] \n  10 -> 14 [size =\"43983872\"]\n  11 [size=\"54712320\", alpha=\"0.10\", expect_size=\"21884928\"] \n  11 -> 14 [size =\"21884928\"]\n  12 [size=\"99522560\", alpha=\"0.10\", expect_size=\"39809024\"] \n  13 [size=\"55728640\", alpha=\"0.13\", expect_size=\"22291456\"] \n  14 [size=\"77498880\", alpha=\"0.03\", expect_size=\"30999552\"] \n  15 [size=\"22054400\", alpha=\"0.10\", expect_size=\"8821760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127802027\", alpha=\"0.16\", expect_size=\"38340608\"] \n  1 -> 2 [size =\"38340608\"]\n  2 [size=\"116749653\", alpha=\"0.16\", expect_size=\"35024896\"] \n  2 -> 3 [size =\"35024896\"]\n  3 [size=\"165611520\", alpha=\"0.01\", expect_size=\"49683456\"] \n  3 -> 4 [size =\"49683456\"]\n  4 [size=\"142219947\", alpha=\"0.13\", expect_size=\"42665984\"] \n  4 -> 5 [size =\"42665984\"]\n  4 -> 6 [size =\"42665984\"]\n  5 [size=\"92047360\", alpha=\"0.05\", expect_size=\"27614208\"] \n  5 -> 7 [size =\"27614208\"]\n  5 -> 8 [size =\"27614208\"]\n  6 [size=\"96996693\", alpha=\"0.05\", expect_size=\"29099008\"] \n  6 -> 7 [size =\"29099008\"]\n  7 [size=\"137721173\", alpha=\"0.12\", expect_size=\"41316352\"] \n  7 -> 9 [size =\"41316352\"]\n  7 -> 10 [size =\"41316352\"]\n  8 [size=\"21606400\", alpha=\"0.00\", expect_size=\"6481920\"] \n  8 -> 9 [size =\"6481920\"]\n  8 -> 10 [size =\"6481920\"]\n  9 [size=\"26531840\", alpha=\"0.12\", expect_size=\"7959552\"] \n  9 -> 11 [size =\"7959552\"]\n  10 [size=\"137308160\", alpha=\"0.09\", expect_size=\"41192448\"] \n  11 [size=\"105748480\", alpha=\"0.18\", expect_size=\"31724544\"] \n  11 -> 12 [size =\"31724544\"]\n  11 -> 13 [size =\"31724544\"]\n  12 [size=\"78213120\", alpha=\"0.03\", expect_size=\"23463936\"] \n  12 -> 14 [size =\"23463936\"]\n  12 -> 15 [size =\"23463936\"]\n  13 [size=\"44001280\", alpha=\"0.11\", expect_size=\"13200384\"] \n  13 -> 15 [size =\"13200384\"]\n  14 [size=\"50909867\", alpha=\"0.09\", expect_size=\"15272960\"] \n  15 [size=\"152937813\", alpha=\"0.12\", expect_size=\"45881344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91460267\", alpha=\"0.15\", expect_size=\"27438080\"] \n  1 -> 3 [size =\"27438080\"]\n  1 -> 4 [size =\"27438080\"]\n  2 [size=\"66652160\", alpha=\"0.05\", expect_size=\"19995648\"] \n  2 -> 3 [size =\"19995648\"]\n  2 -> 4 [size =\"19995648\"]\n  3 [size=\"54077440\", alpha=\"0.06\", expect_size=\"16223232\"] \n  3 -> 6 [size =\"16223232\"]\n  4 [size=\"162631680\", alpha=\"0.13\", expect_size=\"48789504\"] \n  4 -> 5 [size =\"48789504\"]\n  5 [size=\"31952213\", alpha=\"0.08\", expect_size=\"9585664\"] \n  5 -> 7 [size =\"9585664\"]\n  5 -> 8 [size =\"9585664\"]\n  6 [size=\"75274240\", alpha=\"0.20\", expect_size=\"22582272\"] \n  6 -> 7 [size =\"22582272\"]\n  7 [size=\"37222400\", alpha=\"0.19\", expect_size=\"11166720\"] \n  7 -> 9 [size =\"11166720\"]\n  7 -> 10 [size =\"11166720\"]\n  8 [size=\"111063040\", alpha=\"0.19\", expect_size=\"33318912\"] \n  8 -> 9 [size =\"33318912\"]\n  9 [size=\"61822293\", alpha=\"0.12\", expect_size=\"18546688\"] \n  9 -> 11 [size =\"18546688\"]\n  9 -> 12 [size =\"18546688\"]\n  10 [size=\"159255893\", alpha=\"0.01\", expect_size=\"47776768\"] \n  10 -> 11 [size =\"47776768\"]\n  11 [size=\"129832960\", alpha=\"0.11\", expect_size=\"38949888\"] \n  11 -> 13 [size =\"38949888\"]\n  12 [size=\"86934187\", alpha=\"0.03\", expect_size=\"26080256\"] \n  12 -> 13 [size =\"26080256\"]\n  13 [size=\"125122560\", alpha=\"0.17\", expect_size=\"37536768\"] \n  13 -> 14 [size =\"37536768\"]\n  13 -> 15 [size =\"37536768\"]\n  14 [size=\"174595413\", alpha=\"0.06\", expect_size=\"52378624\"] \n  15 [size=\"116077227\", alpha=\"0.12\", expect_size=\"34823168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134454613\", alpha=\"0.19\", expect_size=\"40336384\"] \n  1 -> 2 [size =\"40336384\"]\n  1 -> 3 [size =\"40336384\"]\n  2 [size=\"150111573\", alpha=\"0.02\", expect_size=\"45033472\"] \n  2 -> 4 [size =\"45033472\"]\n  2 -> 5 [size =\"45033472\"]\n  3 [size=\"123473920\", alpha=\"0.06\", expect_size=\"37042176\"] \n  3 -> 4 [size =\"37042176\"]\n  3 -> 5 [size =\"37042176\"]\n  4 [size=\"166400000\", alpha=\"0.07\", expect_size=\"49920000\"] \n  5 [size=\"142124373\", alpha=\"0.14\", expect_size=\"42637312\"] \n  5 -> 6 [size =\"42637312\"]\n  5 -> 7 [size =\"42637312\"]\n  6 [size=\"163860480\", alpha=\"0.10\", expect_size=\"49158144\"] \n  6 -> 8 [size =\"49158144\"]\n  7 [size=\"40007680\", alpha=\"0.02\", expect_size=\"12002304\"] \n  7 -> 9 [size =\"12002304\"]\n  8 [size=\"70823253\", alpha=\"0.14\", expect_size=\"21246976\"] \n  8 -> 10 [size =\"21246976\"]\n  9 [size=\"41318400\", alpha=\"0.03\", expect_size=\"12395520\"] \n  9 -> 10 [size =\"12395520\"]\n  10 [size=\"64764587\", alpha=\"0.14\", expect_size=\"19429376\"] \n  10 -> 11 [size =\"19429376\"]\n  11 [size=\"165232640\", alpha=\"0.17\", expect_size=\"49569792\"] \n  11 -> 12 [size =\"49569792\"]\n  12 [size=\"154381653\", alpha=\"0.01\", expect_size=\"46314496\"] \n  12 -> 13 [size =\"46314496\"]\n  12 -> 14 [size =\"46314496\"]\n  13 [size=\"173568000\", alpha=\"0.10\", expect_size=\"52070400\"] \n  14 [size=\"66331307\", alpha=\"0.15\", expect_size=\"19899392\"] \n  14 -> 15 [size =\"19899392\"]\n  15 [size=\"124139520\", alpha=\"0.17\", expect_size=\"37241856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56404480\", alpha=\"0.14\", expect_size=\"22561792\"] \n  1 -> 5 [size =\"22561792\"]\n  1 -> 6 [size =\"22561792\"]\n  2 [size=\"48896000\", alpha=\"0.19\", expect_size=\"19558400\"] \n  2 -> 4 [size =\"19558400\"]\n  2 -> 5 [size =\"19558400\"]\n  2 -> 6 [size =\"19558400\"]\n  3 [size=\"40015360\", alpha=\"0.14\", expect_size=\"16006144\"] \n  3 -> 5 [size =\"16006144\"]\n  3 -> 6 [size =\"16006144\"]\n  4 [size=\"76193280\", alpha=\"0.09\", expect_size=\"30477312\"] \n  5 [size=\"36352000\", alpha=\"0.17\", expect_size=\"14540800\"] \n  5 -> 7 [size =\"14540800\"]\n  6 [size=\"68195840\", alpha=\"0.17\", expect_size=\"27278336\"] \n  6 -> 8 [size =\"27278336\"]\n  7 [size=\"87897600\", alpha=\"0.19\", expect_size=\"35159040\"] \n  7 -> 9 [size =\"35159040\"]\n  7 -> 10 [size =\"35159040\"]\n  8 [size=\"118584320\", alpha=\"0.16\", expect_size=\"47433728\"] \n  8 -> 10 [size =\"47433728\"]\n  9 [size=\"107712000\", alpha=\"0.13\", expect_size=\"43084800\"] \n  9 -> 11 [size =\"43084800\"]\n  9 -> 12 [size =\"43084800\"]\n  9 -> 13 [size =\"43084800\"]\n  10 [size=\"13565440\", alpha=\"0.10\", expect_size=\"5426176\"] \n  10 -> 11 [size =\"5426176\"]\n  10 -> 12 [size =\"5426176\"]\n  10 -> 13 [size =\"5426176\"]\n  11 [size=\"118912000\", alpha=\"0.10\", expect_size=\"47564800\"] \n  11 -> 14 [size =\"47564800\"]\n  11 -> 15 [size =\"47564800\"]\n  12 [size=\"81551360\", alpha=\"0.15\", expect_size=\"32620544\"] \n  12 -> 15 [size =\"32620544\"]\n  13 [size=\"75581440\", alpha=\"0.14\", expect_size=\"30232576\"] \n  13 -> 15 [size =\"30232576\"]\n  14 [size=\"38556160\", alpha=\"0.04\", expect_size=\"15422464\"] \n  15 [size=\"93342720\", alpha=\"0.19\", expect_size=\"37337088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17680384\", alpha=\"0.19\", expect_size=\"8840192\"] \n  1 -> 4 [size =\"8840192\"]\n  2 [size=\"36507648\", alpha=\"0.11\", expect_size=\"18253824\"] \n  2 -> 6 [size =\"18253824\"]\n  3 [size=\"14577664\", alpha=\"0.19\", expect_size=\"7288832\"] \n  3 -> 4 [size =\"7288832\"]\n  3 -> 5 [size =\"7288832\"]\n  4 [size=\"94668800\", alpha=\"0.02\", expect_size=\"47334400\"] \n  4 -> 7 [size =\"47334400\"]\n  5 [size=\"18452480\", alpha=\"0.12\", expect_size=\"9226240\"] \n  5 -> 7 [size =\"9226240\"]\n  5 -> 8 [size =\"9226240\"]\n  6 [size=\"19197952\", alpha=\"0.02\", expect_size=\"9598976\"] \n  6 -> 8 [size =\"9598976\"]\n  7 [size=\"89249792\", alpha=\"0.16\", expect_size=\"44624896\"] \n  8 [size=\"57479168\", alpha=\"0.01\", expect_size=\"28739584\"] \n  8 -> 9 [size =\"28739584\"]\n  9 [size=\"22274048\", alpha=\"0.07\", expect_size=\"11137024\"] \n  9 -> 10 [size =\"11137024\"]\n  9 -> 11 [size =\"11137024\"]\n  10 [size=\"30779392\", alpha=\"0.14\", expect_size=\"15389696\"] \n  11 [size=\"86468608\", alpha=\"0.20\", expect_size=\"43234304\"] \n  11 -> 12 [size =\"43234304\"]\n  11 -> 13 [size =\"43234304\"]\n  12 [size=\"84029440\", alpha=\"0.15\", expect_size=\"42014720\"] \n  12 -> 15 [size =\"42014720\"]\n  13 [size=\"39923712\", alpha=\"0.09\", expect_size=\"19961856\"] \n  13 -> 14 [size =\"19961856\"]\n  14 [size=\"35831808\", alpha=\"0.09\", expect_size=\"17915904\"] \n  15 [size=\"44042240\", alpha=\"0.19\", expect_size=\"22021120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62056960\", alpha=\"0.12\", expect_size=\"24822784\"] \n  2 [size=\"105018880\", alpha=\"0.13\", expect_size=\"42007552\"] \n  2 -> 15 [size =\"42007552\"]\n  3 [size=\"120279040\", alpha=\"0.16\", expect_size=\"48111616\"] \n  4 [size=\"24990720\", alpha=\"0.13\", expect_size=\"9996288\"] \n  5 [size=\"31613440\", alpha=\"0.05\", expect_size=\"12645376\"] \n  6 [size=\"75210240\", alpha=\"0.08\", expect_size=\"30084096\"] \n  6 -> 15 [size =\"30084096\"]\n  7 [size=\"90731520\", alpha=\"0.10\", expect_size=\"36292608\"] \n  8 [size=\"50936320\", alpha=\"0.16\", expect_size=\"20374528\"] \n  9 [size=\"46666240\", alpha=\"0.04\", expect_size=\"18666496\"] \n  10 [size=\"81809920\", alpha=\"0.01\", expect_size=\"32723968\"] \n  11 [size=\"21240320\", alpha=\"0.05\", expect_size=\"8496128\"] \n  12 [size=\"90334720\", alpha=\"0.12\", expect_size=\"36133888\"] \n  13 [size=\"50941440\", alpha=\"0.14\", expect_size=\"20376576\"] \n  14 [size=\"26716160\", alpha=\"0.01\", expect_size=\"10686464\"] \n  15 [size=\"103060480\", alpha=\"0.09\", expect_size=\"41224192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42749440\", alpha=\"0.19\", expect_size=\"17099776\"] \n  1 -> 14 [size =\"17099776\"]\n  2 [size=\"72560640\", alpha=\"0.18\", expect_size=\"29024256\"] \n  2 -> 13 [size =\"29024256\"]\n  2 -> 14 [size =\"29024256\"]\n  2 -> 15 [size =\"29024256\"]\n  3 [size=\"99658240\", alpha=\"0.12\", expect_size=\"39863296\"] \n  3 -> 13 [size =\"39863296\"]\n  3 -> 14 [size =\"39863296\"]\n  4 [size=\"68610560\", alpha=\"0.06\", expect_size=\"27444224\"] \n  4 -> 13 [size =\"27444224\"]\n  4 -> 14 [size =\"27444224\"]\n  4 -> 15 [size =\"27444224\"]\n  5 [size=\"70807040\", alpha=\"0.06\", expect_size=\"28322816\"] \n  5 -> 14 [size =\"28322816\"]\n  5 -> 15 [size =\"28322816\"]\n  6 [size=\"31667200\", alpha=\"0.06\", expect_size=\"12666880\"] \n  6 -> 15 [size =\"12666880\"]\n  6 -> 15 [size =\"12666880\"]\n  7 [size=\"119352320\", alpha=\"0.17\", expect_size=\"47740928\"] \n  7 -> 15 [size =\"47740928\"]\n  8 [size=\"35008000\", alpha=\"0.04\", expect_size=\"14003200\"] \n  8 -> 13 [size =\"14003200\"]\n  8 -> 15 [size =\"14003200\"]\n  9 [size=\"83112960\", alpha=\"0.19\", expect_size=\"33245184\"] \n  10 [size=\"79810560\", alpha=\"0.18\", expect_size=\"31924224\"] \n  10 -> 13 [size =\"31924224\"]\n  11 [size=\"99443200\", alpha=\"0.19\", expect_size=\"39777280\"] \n  12 [size=\"91274240\", alpha=\"0.03\", expect_size=\"36509696\"] \n  12 -> 14 [size =\"36509696\"]\n  13 [size=\"79936000\", alpha=\"0.08\", expect_size=\"31974400\"] \n  14 [size=\"35340800\", alpha=\"0.08\", expect_size=\"14136320\"] \n  15 [size=\"71234560\", alpha=\"0.10\", expect_size=\"28493824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99703467\", alpha=\"0.19\", expect_size=\"29911040\"] \n  1 -> 12 [size =\"29911040\"]\n  2 [size=\"52684800\", alpha=\"0.05\", expect_size=\"15805440\"] \n  2 -> 14 [size =\"15805440\"]\n  2 -> 15 [size =\"15805440\"]\n  3 [size=\"21121707\", alpha=\"0.16\", expect_size=\"6336512\"] \n  3 -> 12 [size =\"6336512\"]\n  3 -> 14 [size =\"6336512\"]\n  4 [size=\"163597653\", alpha=\"0.15\", expect_size=\"49079296\"] \n  4 -> 12 [size =\"49079296\"]\n  4 -> 14 [size =\"49079296\"]\n  5 [size=\"119009280\", alpha=\"0.13\", expect_size=\"35702784\"] \n  5 -> 12 [size =\"35702784\"]\n  6 [size=\"105809920\", alpha=\"0.05\", expect_size=\"31742976\"] \n  6 -> 12 [size =\"31742976\"]\n  7 [size=\"66362027\", alpha=\"0.18\", expect_size=\"19908608\"] \n  7 -> 12 [size =\"19908608\"]\n  7 -> 13 [size =\"19908608\"]\n  7 -> 14 [size =\"19908608\"]\n  8 [size=\"28910933\", alpha=\"0.15\", expect_size=\"8673280\"] \n  8 -> 12 [size =\"8673280\"]\n  8 -> 15 [size =\"8673280\"]\n  9 [size=\"130075307\", alpha=\"0.18\", expect_size=\"39022592\"] \n  9 -> 12 [size =\"39022592\"]\n  10 [size=\"52780373\", alpha=\"0.09\", expect_size=\"15834112\"] \n  10 -> 12 [size =\"15834112\"]\n  10 -> 15 [size =\"15834112\"]\n  11 [size=\"23794347\", alpha=\"0.17\", expect_size=\"7138304\"] \n  11 -> 12 [size =\"7138304\"]\n  11 -> 14 [size =\"7138304\"]\n  12 [size=\"174387200\", alpha=\"0.17\", expect_size=\"52316160\"] \n  13 [size=\"58071040\", alpha=\"0.14\", expect_size=\"17421312\"] \n  14 [size=\"29573120\", alpha=\"0.07\", expect_size=\"8871936\"] \n  15 [size=\"148640427\", alpha=\"0.13\", expect_size=\"44592128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58871808\", alpha=\"0.03\", expect_size=\"29435904\"] \n  1 -> 8 [size =\"29435904\"]\n  1 -> 10 [size =\"29435904\"]\n  1 -> 11 [size =\"29435904\"]\n  2 [size=\"34877440\", alpha=\"0.03\", expect_size=\"17438720\"] \n  2 -> 9 [size =\"17438720\"]\n  3 [size=\"103411712\", alpha=\"0.15\", expect_size=\"51705856\"] \n  3 -> 8 [size =\"51705856\"]\n  3 -> 11 [size =\"51705856\"]\n  3 -> 12 [size =\"51705856\"]\n  4 [size=\"52318208\", alpha=\"0.02\", expect_size=\"26159104\"] \n  4 -> 7 [size =\"26159104\"]\n  5 [size=\"31014912\", alpha=\"0.12\", expect_size=\"15507456\"] \n  5 -> 12 [size =\"15507456\"]\n  6 [size=\"34072576\", alpha=\"0.19\", expect_size=\"17036288\"] \n  6 -> 8 [size =\"17036288\"]\n  6 -> 12 [size =\"17036288\"]\n  7 [size=\"96327680\", alpha=\"0.16\", expect_size=\"48163840\"] \n  8 [size=\"55918592\", alpha=\"0.13\", expect_size=\"27959296\"] \n  8 -> 15 [size =\"27959296\"]\n  9 [size=\"54925312\", alpha=\"0.17\", expect_size=\"27462656\"] \n  9 -> 13 [size =\"27462656\"]\n  10 [size=\"33638400\", alpha=\"0.10\", expect_size=\"16819200\"] \n  10 -> 14 [size =\"16819200\"]\n  11 [size=\"92684288\", alpha=\"0.06\", expect_size=\"46342144\"] \n  11 -> 13 [size =\"46342144\"]\n  11 -> 14 [size =\"46342144\"]\n  12 [size=\"13666304\", alpha=\"0.13\", expect_size=\"6833152\"] \n  12 -> 13 [size =\"6833152\"]\n  12 -> 14 [size =\"6833152\"]\n  13 [size=\"26021888\", alpha=\"0.20\", expect_size=\"13010944\"] \n  14 [size=\"96710656\", alpha=\"0.07\", expect_size=\"48355328\"] \n  15 [size=\"14075904\", alpha=\"0.07\", expect_size=\"7037952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25219072\", alpha=\"0.12\", expect_size=\"12609536\"] \n  1 -> 7 [size =\"12609536\"]\n  1 -> 8 [size =\"12609536\"]\n  1 -> 9 [size =\"12609536\"]\n  2 [size=\"103374848\", alpha=\"0.15\", expect_size=\"51687424\"] \n  2 -> 8 [size =\"51687424\"]\n  2 -> 9 [size =\"51687424\"]\n  3 [size=\"72634368\", alpha=\"0.02\", expect_size=\"36317184\"] \n  3 -> 6 [size =\"36317184\"]\n  3 -> 7 [size =\"36317184\"]\n  3 -> 8 [size =\"36317184\"]\n  3 -> 10 [size =\"36317184\"]\n  4 [size=\"34201600\", alpha=\"0.12\", expect_size=\"17100800\"] \n  5 [size=\"71194624\", alpha=\"0.12\", expect_size=\"35597312\"] \n  5 -> 7 [size =\"35597312\"]\n  5 -> 9 [size =\"35597312\"]\n  5 -> 11 [size =\"35597312\"]\n  6 [size=\"71282688\", alpha=\"0.12\", expect_size=\"35641344\"] \n  6 -> 13 [size =\"35641344\"]\n  6 -> 14 [size =\"35641344\"]\n  7 [size=\"60272640\", alpha=\"0.01\", expect_size=\"30136320\"] \n  8 [size=\"100333568\", alpha=\"0.11\", expect_size=\"50166784\"] \n  9 [size=\"45936640\", alpha=\"0.10\", expect_size=\"22968320\"] \n  9 -> 12 [size =\"22968320\"]\n  9 -> 14 [size =\"22968320\"]\n  9 -> 15 [size =\"22968320\"]\n  10 [size=\"104278016\", alpha=\"0.09\", expect_size=\"52139008\"] \n  10 -> 12 [size =\"52139008\"]\n  11 [size=\"32010240\", alpha=\"0.03\", expect_size=\"16005120\"] \n  12 [size=\"89409536\", alpha=\"0.12\", expect_size=\"44704768\"] \n  13 [size=\"65495040\", alpha=\"0.09\", expect_size=\"32747520\"] \n  14 [size=\"72900608\", alpha=\"0.18\", expect_size=\"36450304\"] \n  15 [size=\"36503552\", alpha=\"0.05\", expect_size=\"18251776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105335467\", alpha=\"0.13\", expect_size=\"31600640\"] \n  1 -> 2 [size =\"31600640\"]\n  2 [size=\"21565440\", alpha=\"0.05\", expect_size=\"6469632\"] \n  2 -> 3 [size =\"6469632\"]\n  3 [size=\"37990400\", alpha=\"0.16\", expect_size=\"11397120\"] \n  3 -> 4 [size =\"11397120\"]\n  4 [size=\"159747413\", alpha=\"0.19\", expect_size=\"47924224\"] \n  4 -> 5 [size =\"47924224\"]\n  5 [size=\"58142720\", alpha=\"0.02\", expect_size=\"17442816\"] \n  5 -> 6 [size =\"17442816\"]\n  6 [size=\"51466240\", alpha=\"0.08\", expect_size=\"15439872\"] \n  6 -> 7 [size =\"15439872\"]\n  7 [size=\"25883307\", alpha=\"0.19\", expect_size=\"7764992\"] \n  7 -> 8 [size =\"7764992\"]\n  8 [size=\"33327787\", alpha=\"0.20\", expect_size=\"9998336\"] \n  8 -> 9 [size =\"9998336\"]\n  9 [size=\"167724373\", alpha=\"0.07\", expect_size=\"50317312\"] \n  9 -> 10 [size =\"50317312\"]\n  10 [size=\"73130667\", alpha=\"0.19\", expect_size=\"21939200\"] \n  10 -> 11 [size =\"21939200\"]\n  11 [size=\"87773867\", alpha=\"0.13\", expect_size=\"26332160\"] \n  11 -> 12 [size =\"26332160\"]\n  12 [size=\"31924907\", alpha=\"0.07\", expect_size=\"9577472\"] \n  12 -> 13 [size =\"9577472\"]\n  13 [size=\"70051840\", alpha=\"0.10\", expect_size=\"21015552\"] \n  13 -> 14 [size =\"21015552\"]\n  14 [size=\"38045013\", alpha=\"0.02\", expect_size=\"11413504\"] \n  14 -> 15 [size =\"11413504\"]\n  15 [size=\"33505280\", alpha=\"0.11\", expect_size=\"10051584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170557440\", alpha=\"0.03\", expect_size=\"51167232\"] \n  1 -> 2 [size =\"51167232\"]\n  2 [size=\"160146773\", alpha=\"0.08\", expect_size=\"48044032\"] \n  2 -> 3 [size =\"48044032\"]\n  3 [size=\"132710400\", alpha=\"0.11\", expect_size=\"39813120\"] \n  3 -> 4 [size =\"39813120\"]\n  4 [size=\"152176640\", alpha=\"0.18\", expect_size=\"45652992\"] \n  4 -> 5 [size =\"45652992\"]\n  5 [size=\"39649280\", alpha=\"0.04\", expect_size=\"11894784\"] \n  5 -> 6 [size =\"11894784\"]\n  6 [size=\"86377813\", alpha=\"0.17\", expect_size=\"25913344\"] \n  6 -> 7 [size =\"25913344\"]\n  7 [size=\"155723093\", alpha=\"0.05\", expect_size=\"46716928\"] \n  7 -> 8 [size =\"46716928\"]\n  8 [size=\"153661440\", alpha=\"0.18\", expect_size=\"46098432\"] \n  8 -> 9 [size =\"46098432\"]\n  9 [size=\"147855360\", alpha=\"0.06\", expect_size=\"44356608\"] \n  9 -> 10 [size =\"44356608\"]\n  10 [size=\"25105067\", alpha=\"0.19\", expect_size=\"7531520\"] \n  10 -> 11 [size =\"7531520\"]\n  11 [size=\"36604587\", alpha=\"0.00\", expect_size=\"10981376\"] \n  11 -> 12 [size =\"10981376\"]\n  12 [size=\"63293440\", alpha=\"0.01\", expect_size=\"18988032\"] \n  12 -> 13 [size =\"18988032\"]\n  13 [size=\"123487573\", alpha=\"0.12\", expect_size=\"37046272\"] \n  13 -> 14 [size =\"37046272\"]\n  14 [size=\"50124800\", alpha=\"0.03\", expect_size=\"15037440\"] \n  14 -> 15 [size =\"15037440\"]\n  15 [size=\"31962453\", alpha=\"0.16\", expect_size=\"9588736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61155840\", alpha=\"0.13\", expect_size=\"24462336\"] \n  2 [size=\"44636160\", alpha=\"0.08\", expect_size=\"17854464\"] \n  2 -> 3 [size =\"17854464\"]\n  3 [size=\"123253760\", alpha=\"0.16\", expect_size=\"49301504\"] \n  3 -> 4 [size =\"49301504\"]\n  3 -> 5 [size =\"49301504\"]\n  4 [size=\"54341120\", alpha=\"0.17\", expect_size=\"21736448\"] \n  4 -> 6 [size =\"21736448\"]\n  5 [size=\"122959360\", alpha=\"0.16\", expect_size=\"49183744\"] \n  6 [size=\"18350080\", alpha=\"0.00\", expect_size=\"7340032\"] \n  6 -> 7 [size =\"7340032\"]\n  7 [size=\"47636480\", alpha=\"0.13\", expect_size=\"19054592\"] \n  7 -> 8 [size =\"19054592\"]\n  7 -> 9 [size =\"19054592\"]\n  8 [size=\"123550720\", alpha=\"0.04\", expect_size=\"49420288\"] \n  9 [size=\"13903360\", alpha=\"0.03\", expect_size=\"5561344\"] \n  9 -> 10 [size =\"5561344\"]\n  9 -> 11 [size =\"5561344\"]\n  10 [size=\"89738240\", alpha=\"0.14\", expect_size=\"35895296\"] \n  10 -> 12 [size =\"35895296\"]\n  11 [size=\"49328640\", alpha=\"0.15\", expect_size=\"19731456\"] \n  12 [size=\"125793280\", alpha=\"0.06\", expect_size=\"50317312\"] \n  12 -> 13 [size =\"50317312\"]\n  12 -> 14 [size =\"50317312\"]\n  13 [size=\"53588480\", alpha=\"0.10\", expect_size=\"21435392\"] \n  14 [size=\"28577280\", alpha=\"0.00\", expect_size=\"11430912\"] \n  14 -> 15 [size =\"11430912\"]\n  15 [size=\"127011840\", alpha=\"0.15\", expect_size=\"50804736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52311040\", alpha=\"0.07\", expect_size=\"20924416\"] \n  1 -> 3 [size =\"20924416\"]\n  2 [size=\"126080000\", alpha=\"0.01\", expect_size=\"50432000\"] \n  2 -> 4 [size =\"50432000\"]\n  3 [size=\"50347520\", alpha=\"0.15\", expect_size=\"20139008\"] \n  4 [size=\"34926080\", alpha=\"0.04\", expect_size=\"13970432\"] \n  4 -> 5 [size =\"13970432\"]\n  5 [size=\"125870080\", alpha=\"0.01\", expect_size=\"50348032\"] \n  5 -> 6 [size =\"50348032\"]\n  5 -> 7 [size =\"50348032\"]\n  6 [size=\"105441280\", alpha=\"0.05\", expect_size=\"42176512\"] \n  6 -> 9 [size =\"42176512\"]\n  7 [size=\"123141120\", alpha=\"0.20\", expect_size=\"49256448\"] \n  7 -> 8 [size =\"49256448\"]\n  8 [size=\"120947200\", alpha=\"0.15\", expect_size=\"48378880\"] \n  8 -> 10 [size =\"48378880\"]\n  9 [size=\"21145600\", alpha=\"0.09\", expect_size=\"8458240\"] \n  9 -> 11 [size =\"8458240\"]\n  10 [size=\"124152320\", alpha=\"0.15\", expect_size=\"49660928\"] \n  11 [size=\"87421440\", alpha=\"0.13\", expect_size=\"34968576\"] \n  11 -> 12 [size =\"34968576\"]\n  12 [size=\"13278720\", alpha=\"0.01\", expect_size=\"5311488\"] \n  12 -> 13 [size =\"5311488\"]\n  13 [size=\"18542080\", alpha=\"0.07\", expect_size=\"7416832\"] \n  13 -> 14 [size =\"7416832\"]\n  13 -> 15 [size =\"7416832\"]\n  14 [size=\"104983040\", alpha=\"0.10\", expect_size=\"41993216\"] \n  15 [size=\"126126080\", alpha=\"0.07\", expect_size=\"50450432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72311467\", alpha=\"0.16\", expect_size=\"21693440\"] \n  1 -> 7 [size =\"21693440\"]\n  1 -> 9 [size =\"21693440\"]\n  1 -> 10 [size =\"21693440\"]\n  1 -> 11 [size =\"21693440\"]\n  2 [size=\"109356373\", alpha=\"0.06\", expect_size=\"32806912\"] \n  2 -> 7 [size =\"32806912\"]\n  2 -> 9 [size =\"32806912\"]\n  2 -> 10 [size =\"32806912\"]\n  2 -> 11 [size =\"32806912\"]\n  3 [size=\"173632853\", alpha=\"0.14\", expect_size=\"52089856\"] \n  3 -> 7 [size =\"52089856\"]\n  3 -> 9 [size =\"52089856\"]\n  3 -> 10 [size =\"52089856\"]\n  4 [size=\"135362560\", alpha=\"0.10\", expect_size=\"40608768\"] \n  4 -> 10 [size =\"40608768\"]\n  4 -> 11 [size =\"40608768\"]\n  5 [size=\"52367360\", alpha=\"0.15\", expect_size=\"15710208\"] \n  5 -> 9 [size =\"15710208\"]\n  5 -> 11 [size =\"15710208\"]\n  6 [size=\"104861013\", alpha=\"0.06\", expect_size=\"31458304\"] \n  6 -> 7 [size =\"31458304\"]\n  6 -> 8 [size =\"31458304\"]\n  6 -> 9 [size =\"31458304\"]\n  6 -> 11 [size =\"31458304\"]\n  6 -> 12 [size =\"31458304\"]\n  7 [size=\"24599893\", alpha=\"0.05\", expect_size=\"7379968\"] \n  7 -> 13 [size =\"7379968\"]\n  7 -> 14 [size =\"7379968\"]\n  7 -> 15 [size =\"7379968\"]\n  8 [size=\"51913387\", alpha=\"0.13\", expect_size=\"15574016\"] \n  8 -> 13 [size =\"15574016\"]\n  8 -> 15 [size =\"15574016\"]\n  9 [size=\"142704640\", alpha=\"0.12\", expect_size=\"42811392\"] \n  10 [size=\"35263147\", alpha=\"0.04\", expect_size=\"10578944\"] \n  10 -> 15 [size =\"10578944\"]\n  11 [size=\"153651200\", alpha=\"0.14\", expect_size=\"46095360\"] \n  11 -> 13 [size =\"46095360\"]\n  11 -> 15 [size =\"46095360\"]\n  12 [size=\"123313493\", alpha=\"0.02\", expect_size=\"36994048\"] \n  12 -> 13 [size =\"36994048\"]\n  13 [size=\"169014613\", alpha=\"0.11\", expect_size=\"50704384\"] \n  14 [size=\"119415467\", alpha=\"0.10\", expect_size=\"35824640\"] \n  15 [size=\"43202560\", alpha=\"0.13\", expect_size=\"12960768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120299520\", alpha=\"0.06\", expect_size=\"36089856\"] \n  1 -> 2 [size =\"36089856\"]\n  2 [size=\"89330347\", alpha=\"0.09\", expect_size=\"26799104\"] \n  2 -> 3 [size =\"26799104\"]\n  3 [size=\"44376747\", alpha=\"0.10\", expect_size=\"13313024\"] \n  3 -> 4 [size =\"13313024\"]\n  4 [size=\"48643413\", alpha=\"0.11\", expect_size=\"14593024\"] \n  4 -> 5 [size =\"14593024\"]\n  5 [size=\"50544640\", alpha=\"0.05\", expect_size=\"15163392\"] \n  5 -> 6 [size =\"15163392\"]\n  6 [size=\"154565973\", alpha=\"0.03\", expect_size=\"46369792\"] \n  6 -> 7 [size =\"46369792\"]\n  7 [size=\"132812800\", alpha=\"0.01\", expect_size=\"39843840\"] \n  7 -> 8 [size =\"39843840\"]\n  8 [size=\"93952000\", alpha=\"0.01\", expect_size=\"28185600\"] \n  8 -> 9 [size =\"28185600\"]\n  9 [size=\"157846187\", alpha=\"0.00\", expect_size=\"47353856\"] \n  9 -> 10 [size =\"47353856\"]\n  10 [size=\"160006827\", alpha=\"0.02\", expect_size=\"48002048\"] \n  10 -> 11 [size =\"48002048\"]\n  11 [size=\"82097493\", alpha=\"0.02\", expect_size=\"24629248\"] \n  11 -> 12 [size =\"24629248\"]\n  12 [size=\"126498133\", alpha=\"0.19\", expect_size=\"37949440\"] \n  12 -> 13 [size =\"37949440\"]\n  13 [size=\"41530027\", alpha=\"0.02\", expect_size=\"12459008\"] \n  13 -> 14 [size =\"12459008\"]\n  14 [size=\"120241493\", alpha=\"0.01\", expect_size=\"36072448\"] \n  14 -> 15 [size =\"36072448\"]\n  15 [size=\"51094187\", alpha=\"0.18\", expect_size=\"15328256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68183040\", alpha=\"0.05\", expect_size=\"27273216\"] \n  2 [size=\"95052800\", alpha=\"0.11\", expect_size=\"38021120\"] \n  2 -> 12 [size =\"38021120\"]\n  3 [size=\"15178240\", alpha=\"0.20\", expect_size=\"6071296\"] \n  3 -> 12 [size =\"6071296\"]\n  3 -> 13 [size =\"6071296\"]\n  4 [size=\"111987200\", alpha=\"0.14\", expect_size=\"44794880\"] \n  5 [size=\"129763840\", alpha=\"0.18\", expect_size=\"51905536\"] \n  6 [size=\"49940480\", alpha=\"0.03\", expect_size=\"19976192\"] \n  6 -> 13 [size =\"19976192\"]\n  7 [size=\"84636160\", alpha=\"0.01\", expect_size=\"33854464\"] \n  7 -> 13 [size =\"33854464\"]\n  7 -> 14 [size =\"33854464\"]\n  8 [size=\"100986880\", alpha=\"0.08\", expect_size=\"40394752\"] \n  9 [size=\"129013760\", alpha=\"0.01\", expect_size=\"51605504\"] \n  9 -> 12 [size =\"51605504\"]\n  10 [size=\"114903040\", alpha=\"0.11\", expect_size=\"45961216\"] \n  10 -> 13 [size =\"45961216\"]\n  11 [size=\"85312000\", alpha=\"0.14\", expect_size=\"34124800\"] \n  11 -> 15 [size =\"34124800\"]\n  12 [size=\"116871680\", alpha=\"0.14\", expect_size=\"46748672\"] \n  13 [size=\"65896960\", alpha=\"0.01\", expect_size=\"26358784\"] \n  14 [size=\"64184320\", alpha=\"0.18\", expect_size=\"25673728\"] \n  15 [size=\"26941440\", alpha=\"0.10\", expect_size=\"10776576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67168256\", alpha=\"0.04\", expect_size=\"33584128\"] \n  2 [size=\"77840384\", alpha=\"0.20\", expect_size=\"38920192\"] \n  2 -> 3 [size =\"38920192\"]\n  3 [size=\"29306880\", alpha=\"0.16\", expect_size=\"14653440\"] \n  3 -> 4 [size =\"14653440\"]\n  4 [size=\"89090048\", alpha=\"0.02\", expect_size=\"44545024\"] \n  4 -> 5 [size =\"44545024\"]\n  4 -> 6 [size =\"44545024\"]\n  5 [size=\"52445184\", alpha=\"0.20\", expect_size=\"26222592\"] \n  5 -> 7 [size =\"26222592\"]\n  6 [size=\"98308096\", alpha=\"0.16\", expect_size=\"49154048\"] \n  6 -> 7 [size =\"49154048\"]\n  7 [size=\"53831680\", alpha=\"0.18\", expect_size=\"26915840\"] \n  7 -> 8 [size =\"26915840\"]\n  7 -> 9 [size =\"26915840\"]\n  8 [size=\"31217664\", alpha=\"0.20\", expect_size=\"15608832\"] \n  9 [size=\"28379136\", alpha=\"0.13\", expect_size=\"14189568\"] \n  9 -> 10 [size =\"14189568\"]\n  10 [size=\"46188544\", alpha=\"0.08\", expect_size=\"23094272\"] \n  10 -> 11 [size =\"23094272\"]\n  10 -> 12 [size =\"23094272\"]\n  11 [size=\"102981632\", alpha=\"0.07\", expect_size=\"51490816\"] \n  11 -> 13 [size =\"51490816\"]\n  11 -> 14 [size =\"51490816\"]\n  12 [size=\"25323520\", alpha=\"0.15\", expect_size=\"12661760\"] \n  12 -> 13 [size =\"12661760\"]\n  12 -> 14 [size =\"12661760\"]\n  13 [size=\"24713216\", alpha=\"0.08\", expect_size=\"12356608\"] \n  13 -> 15 [size =\"12356608\"]\n  14 [size=\"99414016\", alpha=\"0.09\", expect_size=\"49707008\"] \n  14 -> 15 [size =\"49707008\"]\n  15 [size=\"12615680\", alpha=\"0.02\", expect_size=\"6307840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53190656\", alpha=\"0.19\", expect_size=\"26595328\"] \n  2 [size=\"53841920\", alpha=\"0.07\", expect_size=\"26920960\"] \n  2 -> 3 [size =\"26920960\"]\n  3 [size=\"52445184\", alpha=\"0.06\", expect_size=\"26222592\"] \n  3 -> 4 [size =\"26222592\"]\n  4 [size=\"68157440\", alpha=\"0.09\", expect_size=\"34078720\"] \n  4 -> 5 [size =\"34078720\"]\n  5 [size=\"37959680\", alpha=\"0.13\", expect_size=\"18979840\"] \n  5 -> 6 [size =\"18979840\"]\n  6 [size=\"30625792\", alpha=\"0.15\", expect_size=\"15312896\"] \n  6 -> 7 [size =\"15312896\"]\n  7 [size=\"104484864\", alpha=\"0.05\", expect_size=\"52242432\"] \n  7 -> 8 [size =\"52242432\"]\n  7 -> 9 [size =\"52242432\"]\n  8 [size=\"48234496\", alpha=\"0.15\", expect_size=\"24117248\"] \n  8 -> 10 [size =\"24117248\"]\n  8 -> 11 [size =\"24117248\"]\n  9 [size=\"70033408\", alpha=\"0.11\", expect_size=\"35016704\"] \n  9 -> 10 [size =\"35016704\"]\n  10 [size=\"49934336\", alpha=\"0.01\", expect_size=\"24967168\"] \n  10 -> 12 [size =\"24967168\"]\n  11 [size=\"16750592\", alpha=\"0.15\", expect_size=\"8375296\"] \n  12 [size=\"12748800\", alpha=\"0.15\", expect_size=\"6374400\"] \n  12 -> 13 [size =\"6374400\"]\n  13 [size=\"46317568\", alpha=\"0.20\", expect_size=\"23158784\"] \n  13 -> 14 [size =\"23158784\"]\n  13 -> 15 [size =\"23158784\"]\n  14 [size=\"74321920\", alpha=\"0.07\", expect_size=\"37160960\"] \n  15 [size=\"23218176\", alpha=\"0.06\", expect_size=\"11609088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136843947\", alpha=\"0.03\", expect_size=\"41053184\"] \n  1 -> 4 [size =\"41053184\"]\n  2 [size=\"19261440\", alpha=\"0.03\", expect_size=\"5778432\"] \n  2 -> 5 [size =\"5778432\"]\n  3 [size=\"122876587\", alpha=\"0.10\", expect_size=\"36862976\"] \n  3 -> 4 [size =\"36862976\"]\n  3 -> 6 [size =\"36862976\"]\n  4 [size=\"173998080\", alpha=\"0.17\", expect_size=\"52199424\"] \n  4 -> 7 [size =\"52199424\"]\n  4 -> 8 [size =\"52199424\"]\n  4 -> 9 [size =\"52199424\"]\n  5 [size=\"54258347\", alpha=\"0.05\", expect_size=\"16277504\"] \n  5 -> 8 [size =\"16277504\"]\n  6 [size=\"158050987\", alpha=\"0.10\", expect_size=\"47415296\"] \n  6 -> 7 [size =\"47415296\"]\n  7 [size=\"37044907\", alpha=\"0.18\", expect_size=\"11113472\"] \n  7 -> 11 [size =\"11113472\"]\n  8 [size=\"96542720\", alpha=\"0.10\", expect_size=\"28962816\"] \n  8 -> 10 [size =\"28962816\"]\n  8 -> 11 [size =\"28962816\"]\n  9 [size=\"151063893\", alpha=\"0.02\", expect_size=\"45319168\"] \n  9 -> 10 [size =\"45319168\"]\n  10 [size=\"84401493\", alpha=\"0.04\", expect_size=\"25320448\"] \n  10 -> 12 [size =\"25320448\"]\n  11 [size=\"106584747\", alpha=\"0.18\", expect_size=\"31975424\"] \n  11 -> 13 [size =\"31975424\"]\n  12 [size=\"127679147\", alpha=\"0.08\", expect_size=\"38303744\"] \n  12 -> 14 [size =\"38303744\"]\n  12 -> 15 [size =\"38303744\"]\n  13 [size=\"154197333\", alpha=\"0.14\", expect_size=\"46259200\"] \n  14 [size=\"72386560\", alpha=\"0.19\", expect_size=\"21715968\"] \n  15 [size=\"48776533\", alpha=\"0.19\", expect_size=\"14632960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124897280\", alpha=\"0.00\", expect_size=\"37469184\"] \n  1 -> 14 [size =\"37469184\"]\n  1 -> 15 [size =\"37469184\"]\n  2 [size=\"109397333\", alpha=\"0.05\", expect_size=\"32819200\"] \n  2 -> 15 [size =\"32819200\"]\n  3 [size=\"56347307\", alpha=\"0.11\", expect_size=\"16904192\"] \n  3 -> 14 [size =\"16904192\"]\n  3 -> 15 [size =\"16904192\"]\n  4 [size=\"173943467\", alpha=\"0.18\", expect_size=\"52183040\"] \n  5 [size=\"90760533\", alpha=\"0.03\", expect_size=\"27228160\"] \n  6 [size=\"156180480\", alpha=\"0.16\", expect_size=\"46854144\"] \n  7 [size=\"160706560\", alpha=\"0.18\", expect_size=\"48211968\"] \n  8 [size=\"56330240\", alpha=\"0.06\", expect_size=\"16899072\"] \n  8 -> 14 [size =\"16899072\"]\n  9 [size=\"149985280\", alpha=\"0.09\", expect_size=\"44995584\"] \n  10 [size=\"118623573\", alpha=\"0.08\", expect_size=\"35587072\"] \n  11 [size=\"103860907\", alpha=\"0.06\", expect_size=\"31158272\"] \n  12 [size=\"105325227\", alpha=\"0.06\", expect_size=\"31597568\"] \n  13 [size=\"145408000\", alpha=\"0.20\", expect_size=\"43622400\"] \n  14 [size=\"71741440\", alpha=\"0.19\", expect_size=\"21522432\"] \n  15 [size=\"56234667\", alpha=\"0.17\", expect_size=\"16870400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148469760\", alpha=\"0.08\", expect_size=\"44540928\"] \n  1 -> 2 [size =\"44540928\"]\n  2 [size=\"97017173\", alpha=\"0.01\", expect_size=\"29105152\"] \n  2 -> 3 [size =\"29105152\"]\n  3 [size=\"34665813\", alpha=\"0.20\", expect_size=\"10399744\"] \n  3 -> 4 [size =\"10399744\"]\n  4 [size=\"23896747\", alpha=\"0.15\", expect_size=\"7169024\"] \n  4 -> 5 [size =\"7169024\"]\n  5 [size=\"140445013\", alpha=\"0.15\", expect_size=\"42133504\"] \n  5 -> 6 [size =\"42133504\"]\n  6 [size=\"144759467\", alpha=\"0.10\", expect_size=\"43427840\"] \n  6 -> 7 [size =\"43427840\"]\n  7 [size=\"32286720\", alpha=\"0.07\", expect_size=\"9686016\"] \n  7 -> 8 [size =\"9686016\"]\n  8 [size=\"114373973\", alpha=\"0.14\", expect_size=\"34312192\"] \n  8 -> 9 [size =\"34312192\"]\n  9 [size=\"91252053\", alpha=\"0.15\", expect_size=\"27375616\"] \n  9 -> 10 [size =\"27375616\"]\n  10 [size=\"140369920\", alpha=\"0.05\", expect_size=\"42110976\"] \n  10 -> 11 [size =\"42110976\"]\n  11 [size=\"52510720\", alpha=\"0.14\", expect_size=\"15753216\"] \n  11 -> 12 [size =\"15753216\"]\n  12 [size=\"115568640\", alpha=\"0.17\", expect_size=\"34670592\"] \n  12 -> 13 [size =\"34670592\"]\n  13 [size=\"122453333\", alpha=\"0.02\", expect_size=\"36736000\"] \n  13 -> 14 [size =\"36736000\"]\n  14 [size=\"118541653\", alpha=\"0.08\", expect_size=\"35562496\"] \n  14 -> 15 [size =\"35562496\"]\n  15 [size=\"78411093\", alpha=\"0.10\", expect_size=\"23523328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48783360\", alpha=\"0.19\", expect_size=\"14635008\"] \n  2 [size=\"163351893\", alpha=\"0.09\", expect_size=\"49005568\"] \n  2 -> 7 [size =\"49005568\"]\n  2 -> 8 [size =\"49005568\"]\n  3 [size=\"99621547\", alpha=\"0.13\", expect_size=\"29886464\"] \n  3 -> 6 [size =\"29886464\"]\n  3 -> 8 [size =\"29886464\"]\n  3 -> 9 [size =\"29886464\"]\n  4 [size=\"108922880\", alpha=\"0.09\", expect_size=\"32676864\"] \n  4 -> 9 [size =\"32676864\"]\n  4 -> 11 [size =\"32676864\"]\n  5 [size=\"136543573\", alpha=\"0.19\", expect_size=\"40963072\"] \n  5 -> 9 [size =\"40963072\"]\n  5 -> 10 [size =\"40963072\"]\n  6 [size=\"158750720\", alpha=\"0.04\", expect_size=\"47625216\"] \n  6 -> 12 [size =\"47625216\"]\n  7 [size=\"52893013\", alpha=\"0.15\", expect_size=\"15867904\"] \n  7 -> 13 [size =\"15867904\"]\n  7 -> 15 [size =\"15867904\"]\n  8 [size=\"18913280\", alpha=\"0.04\", expect_size=\"5673984\"] \n  8 -> 13 [size =\"5673984\"]\n  8 -> 15 [size =\"5673984\"]\n  9 [size=\"125057707\", alpha=\"0.18\", expect_size=\"37517312\"] \n  9 -> 12 [size =\"37517312\"]\n  9 -> 13 [size =\"37517312\"]\n  10 [size=\"104762027\", alpha=\"0.09\", expect_size=\"31428608\"] \n  10 -> 14 [size =\"31428608\"]\n  11 [size=\"166608213\", alpha=\"0.14\", expect_size=\"49982464\"] \n  11 -> 12 [size =\"49982464\"]\n  11 -> 14 [size =\"49982464\"]\n  12 [size=\"161454080\", alpha=\"0.03\", expect_size=\"48436224\"] \n  13 [size=\"77847893\", alpha=\"0.04\", expect_size=\"23354368\"] \n  14 [size=\"21469867\", alpha=\"0.06\", expect_size=\"6440960\"] \n  15 [size=\"89303040\", alpha=\"0.13\", expect_size=\"26790912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81955840\", alpha=\"0.18\", expect_size=\"32782336\"] \n  1 -> 3 [size =\"32782336\"]\n  2 [size=\"96424960\", alpha=\"0.13\", expect_size=\"38569984\"] \n  2 -> 3 [size =\"38569984\"]\n  3 [size=\"97011200\", alpha=\"0.16\", expect_size=\"38804480\"] \n  3 -> 4 [size =\"38804480\"]\n  4 [size=\"45340160\", alpha=\"0.17\", expect_size=\"18136064\"] \n  4 -> 5 [size =\"18136064\"]\n  4 -> 6 [size =\"18136064\"]\n  5 [size=\"83271680\", alpha=\"0.19\", expect_size=\"33308672\"] \n  5 -> 7 [size =\"33308672\"]\n  6 [size=\"94225920\", alpha=\"0.01\", expect_size=\"37690368\"] \n  6 -> 7 [size =\"37690368\"]\n  7 [size=\"128373760\", alpha=\"0.05\", expect_size=\"51349504\"] \n  7 -> 8 [size =\"51349504\"]\n  7 -> 9 [size =\"51349504\"]\n  8 [size=\"80921600\", alpha=\"0.15\", expect_size=\"32368640\"] \n  8 -> 10 [size =\"32368640\"]\n  8 -> 11 [size =\"32368640\"]\n  9 [size=\"61639680\", alpha=\"0.14\", expect_size=\"24655872\"] \n  9 -> 10 [size =\"24655872\"]\n  9 -> 11 [size =\"24655872\"]\n  10 [size=\"19906560\", alpha=\"0.15\", expect_size=\"7962624\"] \n  10 -> 12 [size =\"7962624\"]\n  11 [size=\"101025280\", alpha=\"0.04\", expect_size=\"40410112\"] \n  11 -> 12 [size =\"40410112\"]\n  12 [size=\"86781440\", alpha=\"0.02\", expect_size=\"34712576\"] \n  12 -> 13 [size =\"34712576\"]\n  13 [size=\"47918080\", alpha=\"0.12\", expect_size=\"19167232\"] \n  13 -> 14 [size =\"19167232\"]\n  13 -> 15 [size =\"19167232\"]\n  14 [size=\"21716480\", alpha=\"0.08\", expect_size=\"8686592\"] \n  15 [size=\"119114240\", alpha=\"0.08\", expect_size=\"47645696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27101184\", alpha=\"0.08\", expect_size=\"13550592\"] \n  1 -> 2 [size =\"13550592\"]\n  1 -> 3 [size =\"13550592\"]\n  2 [size=\"65497088\", alpha=\"0.20\", expect_size=\"32748544\"] \n  3 [size=\"25225216\", alpha=\"0.09\", expect_size=\"12612608\"] \n  3 -> 4 [size =\"12612608\"]\n  4 [size=\"97730560\", alpha=\"0.04\", expect_size=\"48865280\"] \n  4 -> 5 [size =\"48865280\"]\n  4 -> 6 [size =\"48865280\"]\n  5 [size=\"96045056\", alpha=\"0.20\", expect_size=\"48022528\"] \n  5 -> 7 [size =\"48022528\"]\n  6 [size=\"52119552\", alpha=\"0.02\", expect_size=\"26059776\"] \n  6 -> 7 [size =\"26059776\"]\n  7 [size=\"56684544\", alpha=\"0.17\", expect_size=\"28342272\"] \n  7 -> 8 [size =\"28342272\"]\n  7 -> 9 [size =\"28342272\"]\n  8 [size=\"65943552\", alpha=\"0.06\", expect_size=\"32971776\"] \n  8 -> 10 [size =\"32971776\"]\n  9 [size=\"51206144\", alpha=\"0.08\", expect_size=\"25603072\"] \n  10 [size=\"68433920\", alpha=\"0.10\", expect_size=\"34216960\"] \n  10 -> 11 [size =\"34216960\"]\n  11 [size=\"47659008\", alpha=\"0.06\", expect_size=\"23829504\"] \n  11 -> 12 [size =\"23829504\"]\n  12 [size=\"84160512\", alpha=\"0.08\", expect_size=\"42080256\"] \n  12 -> 13 [size =\"42080256\"]\n  13 [size=\"82434048\", alpha=\"0.19\", expect_size=\"41217024\"] \n  13 -> 14 [size =\"41217024\"]\n  14 [size=\"32651264\", alpha=\"0.09\", expect_size=\"16325632\"] \n  14 -> 15 [size =\"16325632\"]\n  15 [size=\"51111936\", alpha=\"0.12\", expect_size=\"25555968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18868907\", alpha=\"0.00\", expect_size=\"5660672\"] \n  1 -> 2 [size =\"5660672\"]\n  2 [size=\"104045227\", alpha=\"0.12\", expect_size=\"31213568\"] \n  2 -> 3 [size =\"31213568\"]\n  3 [size=\"102717440\", alpha=\"0.19\", expect_size=\"30815232\"] \n  3 -> 4 [size =\"30815232\"]\n  4 [size=\"155289600\", alpha=\"0.08\", expect_size=\"46586880\"] \n  4 -> 5 [size =\"46586880\"]\n  5 [size=\"71598080\", alpha=\"0.05\", expect_size=\"21479424\"] \n  5 -> 6 [size =\"21479424\"]\n  6 [size=\"133116587\", alpha=\"0.16\", expect_size=\"39934976\"] \n  6 -> 7 [size =\"39934976\"]\n  7 [size=\"86763520\", alpha=\"0.03\", expect_size=\"26029056\"] \n  7 -> 8 [size =\"26029056\"]\n  8 [size=\"132007253\", alpha=\"0.07\", expect_size=\"39602176\"] \n  8 -> 9 [size =\"39602176\"]\n  9 [size=\"99928747\", alpha=\"0.09\", expect_size=\"29978624\"] \n  9 -> 10 [size =\"29978624\"]\n  10 [size=\"116691627\", alpha=\"0.07\", expect_size=\"35007488\"] \n  10 -> 11 [size =\"35007488\"]\n  11 [size=\"18145280\", alpha=\"0.16\", expect_size=\"5443584\"] \n  11 -> 12 [size =\"5443584\"]\n  12 [size=\"20401493\", alpha=\"0.15\", expect_size=\"6120448\"] \n  12 -> 13 [size =\"6120448\"]\n  13 [size=\"118254933\", alpha=\"0.13\", expect_size=\"35476480\"] \n  13 -> 14 [size =\"35476480\"]\n  14 [size=\"109414400\", alpha=\"0.15\", expect_size=\"32824320\"] \n  14 -> 15 [size =\"32824320\"]\n  15 [size=\"18657280\", alpha=\"0.12\", expect_size=\"5597184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24152064\", alpha=\"0.06\", expect_size=\"12076032\"] \n  1 -> 2 [size =\"12076032\"]\n  2 [size=\"12584960\", alpha=\"0.09\", expect_size=\"6292480\"] \n  2 -> 3 [size =\"6292480\"]\n  2 -> 4 [size =\"6292480\"]\n  3 [size=\"86679552\", alpha=\"0.09\", expect_size=\"43339776\"] \n  3 -> 5 [size =\"43339776\"]\n  3 -> 6 [size =\"43339776\"]\n  4 [size=\"34285568\", alpha=\"0.13\", expect_size=\"17142784\"] \n  5 [size=\"87998464\", alpha=\"0.07\", expect_size=\"43999232\"] \n  5 -> 7 [size =\"43999232\"]\n  6 [size=\"64774144\", alpha=\"0.15\", expect_size=\"32387072\"] \n  7 [size=\"14884864\", alpha=\"0.10\", expect_size=\"7442432\"] \n  7 -> 8 [size =\"7442432\"]\n  7 -> 9 [size =\"7442432\"]\n  8 [size=\"38559744\", alpha=\"0.06\", expect_size=\"19279872\"] \n  8 -> 10 [size =\"19279872\"]\n  9 [size=\"15974400\", alpha=\"0.01\", expect_size=\"7987200\"] \n  10 [size=\"45846528\", alpha=\"0.19\", expect_size=\"22923264\"] \n  10 -> 11 [size =\"22923264\"]\n  10 -> 12 [size =\"22923264\"]\n  11 [size=\"64790528\", alpha=\"0.18\", expect_size=\"32395264\"] \n  11 -> 13 [size =\"32395264\"]\n  12 [size=\"92463104\", alpha=\"0.15\", expect_size=\"46231552\"] \n  12 -> 14 [size =\"46231552\"]\n  13 [size=\"39213056\", alpha=\"0.06\", expect_size=\"19606528\"] \n  13 -> 15 [size =\"19606528\"]\n  14 [size=\"81332224\", alpha=\"0.02\", expect_size=\"40666112\"] \n  15 [size=\"49446912\", alpha=\"0.16\", expect_size=\"24723456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44830720\", alpha=\"0.05\", expect_size=\"22415360\"] \n  2 [size=\"18843648\", alpha=\"0.17\", expect_size=\"9421824\"] \n  2 -> 3 [size =\"9421824\"]\n  2 -> 4 [size =\"9421824\"]\n  3 [size=\"90363904\", alpha=\"0.11\", expect_size=\"45181952\"] \n  3 -> 5 [size =\"45181952\"]\n  4 [size=\"40931328\", alpha=\"0.18\", expect_size=\"20465664\"] \n  5 [size=\"82077696\", alpha=\"0.19\", expect_size=\"41038848\"] \n  5 -> 6 [size =\"41038848\"]\n  5 -> 7 [size =\"41038848\"]\n  6 [size=\"85493760\", alpha=\"0.05\", expect_size=\"42746880\"] \n  7 [size=\"69646336\", alpha=\"0.10\", expect_size=\"34823168\"] \n  7 -> 8 [size =\"34823168\"]\n  7 -> 9 [size =\"34823168\"]\n  8 [size=\"76617728\", alpha=\"0.04\", expect_size=\"38308864\"] \n  8 -> 10 [size =\"38308864\"]\n  9 [size=\"21555200\", alpha=\"0.16\", expect_size=\"10777600\"] \n  9 -> 11 [size =\"10777600\"]\n  10 [size=\"84946944\", alpha=\"0.03\", expect_size=\"42473472\"] \n  10 -> 12 [size =\"42473472\"]\n  11 [size=\"86734848\", alpha=\"0.16\", expect_size=\"43367424\"] \n  11 -> 13 [size =\"43367424\"]\n  12 [size=\"16453632\", alpha=\"0.19\", expect_size=\"8226816\"] \n  12 -> 14 [size =\"8226816\"]\n  13 [size=\"95827968\", alpha=\"0.02\", expect_size=\"47913984\"] \n  14 [size=\"55506944\", alpha=\"0.13\", expect_size=\"27753472\"] \n  14 -> 15 [size =\"27753472\"]\n  15 [size=\"47290368\", alpha=\"0.07\", expect_size=\"23645184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93258240\", alpha=\"0.08\", expect_size=\"37303296\"] \n  1 -> 2 [size =\"37303296\"]\n  1 -> 3 [size =\"37303296\"]\n  2 [size=\"98700800\", alpha=\"0.05\", expect_size=\"39480320\"] \n  2 -> 4 [size =\"39480320\"]\n  3 [size=\"75568640\", alpha=\"0.04\", expect_size=\"30227456\"] \n  3 -> 4 [size =\"30227456\"]\n  3 -> 5 [size =\"30227456\"]\n  4 [size=\"59653120\", alpha=\"0.07\", expect_size=\"23861248\"] \n  4 -> 6 [size =\"23861248\"]\n  5 [size=\"28067840\", alpha=\"0.05\", expect_size=\"11227136\"] \n  5 -> 6 [size =\"11227136\"]\n  6 [size=\"70402560\", alpha=\"0.00\", expect_size=\"28161024\"] \n  6 -> 7 [size =\"28161024\"]\n  6 -> 8 [size =\"28161024\"]\n  7 [size=\"120299520\", alpha=\"0.09\", expect_size=\"48119808\"] \n  7 -> 9 [size =\"48119808\"]\n  7 -> 10 [size =\"48119808\"]\n  8 [size=\"23887360\", alpha=\"0.19\", expect_size=\"9554944\"] \n  8 -> 9 [size =\"9554944\"]\n  8 -> 10 [size =\"9554944\"]\n  9 [size=\"28495360\", alpha=\"0.12\", expect_size=\"11398144\"] \n  9 -> 11 [size =\"11398144\"]\n  10 [size=\"58936320\", alpha=\"0.04\", expect_size=\"23574528\"] \n  10 -> 11 [size =\"23574528\"]\n  11 [size=\"122196480\", alpha=\"0.06\", expect_size=\"48878592\"] \n  11 -> 12 [size =\"48878592\"]\n  12 [size=\"50775040\", alpha=\"0.02\", expect_size=\"20310016\"] \n  12 -> 13 [size =\"20310016\"]\n  12 -> 14 [size =\"20310016\"]\n  13 [size=\"82567680\", alpha=\"0.14\", expect_size=\"33027072\"] \n  13 -> 15 [size =\"33027072\"]\n  14 [size=\"107745280\", alpha=\"0.16\", expect_size=\"43098112\"] \n  14 -> 15 [size =\"43098112\"]\n  15 [size=\"33676800\", alpha=\"0.09\", expect_size=\"13470720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117674667\", alpha=\"0.12\", expect_size=\"35302400\"] \n  2 [size=\"171274240\", alpha=\"0.05\", expect_size=\"51382272\"] \n  2 -> 8 [size =\"51382272\"]\n  2 -> 9 [size =\"51382272\"]\n  2 -> 12 [size =\"51382272\"]\n  3 [size=\"121661440\", alpha=\"0.16\", expect_size=\"36498432\"] \n  3 -> 8 [size =\"36498432\"]\n  3 -> 9 [size =\"36498432\"]\n  3 -> 10 [size =\"36498432\"]\n  4 [size=\"98744320\", alpha=\"0.09\", expect_size=\"29623296\"] \n  4 -> 7 [size =\"29623296\"]\n  4 -> 8 [size =\"29623296\"]\n  4 -> 11 [size =\"29623296\"]\n  4 -> 12 [size =\"29623296\"]\n  5 [size=\"84002133\", alpha=\"0.09\", expect_size=\"25200640\"] \n  5 -> 11 [size =\"25200640\"]\n  6 [size=\"36235947\", alpha=\"0.15\", expect_size=\"10870784\"] \n  6 -> 8 [size =\"10870784\"]\n  6 -> 11 [size =\"10870784\"]\n  7 [size=\"89036800\", alpha=\"0.11\", expect_size=\"26711040\"] \n  7 -> 14 [size =\"26711040\"]\n  8 [size=\"83879253\", alpha=\"0.03\", expect_size=\"25163776\"] \n  8 -> 13 [size =\"25163776\"]\n  8 -> 14 [size =\"25163776\"]\n  9 [size=\"75823787\", alpha=\"0.03\", expect_size=\"22747136\"] \n  9 -> 13 [size =\"22747136\"]\n  9 -> 14 [size =\"22747136\"]\n  10 [size=\"21387947\", alpha=\"0.17\", expect_size=\"6416384\"] \n  10 -> 15 [size =\"6416384\"]\n  11 [size=\"62685867\", alpha=\"0.09\", expect_size=\"18805760\"] \n  11 -> 15 [size =\"18805760\"]\n  12 [size=\"157979307\", alpha=\"0.07\", expect_size=\"47393792\"] \n  13 [size=\"41362773\", alpha=\"0.10\", expect_size=\"12408832\"] \n  14 [size=\"163573760\", alpha=\"0.01\", expect_size=\"49072128\"] \n  15 [size=\"76076373\", alpha=\"0.06\", expect_size=\"22822912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74477568\", alpha=\"0.12\", expect_size=\"37238784\"] \n  1 -> 2 [size =\"37238784\"]\n  2 [size=\"65916928\", alpha=\"0.04\", expect_size=\"32958464\"] \n  2 -> 3 [size =\"32958464\"]\n  3 [size=\"101638144\", alpha=\"0.18\", expect_size=\"50819072\"] \n  3 -> 4 [size =\"50819072\"]\n  4 [size=\"29515776\", alpha=\"0.02\", expect_size=\"14757888\"] \n  4 -> 5 [size =\"14757888\"]\n  5 [size=\"94951424\", alpha=\"0.05\", expect_size=\"47475712\"] \n  5 -> 6 [size =\"47475712\"]\n  6 [size=\"24471552\", alpha=\"0.02\", expect_size=\"12235776\"] \n  6 -> 7 [size =\"12235776\"]\n  7 [size=\"36145152\", alpha=\"0.08\", expect_size=\"18072576\"] \n  7 -> 8 [size =\"18072576\"]\n  8 [size=\"88141824\", alpha=\"0.19\", expect_size=\"44070912\"] \n  8 -> 9 [size =\"44070912\"]\n  9 [size=\"16056320\", alpha=\"0.13\", expect_size=\"8028160\"] \n  9 -> 10 [size =\"8028160\"]\n  10 [size=\"100732928\", alpha=\"0.19\", expect_size=\"50366464\"] \n  10 -> 11 [size =\"50366464\"]\n  11 [size=\"81948672\", alpha=\"0.07\", expect_size=\"40974336\"] \n  11 -> 12 [size =\"40974336\"]\n  12 [size=\"46288896\", alpha=\"0.11\", expect_size=\"23144448\"] \n  12 -> 13 [size =\"23144448\"]\n  13 [size=\"64536576\", alpha=\"0.11\", expect_size=\"32268288\"] \n  13 -> 14 [size =\"32268288\"]\n  14 [size=\"55431168\", alpha=\"0.20\", expect_size=\"27715584\"] \n  14 -> 15 [size =\"27715584\"]\n  15 [size=\"63911936\", alpha=\"0.11\", expect_size=\"31955968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66981888\", alpha=\"0.03\", expect_size=\"33490944\"] \n  1 -> 2 [size =\"33490944\"]\n  2 [size=\"55339008\", alpha=\"0.07\", expect_size=\"27669504\"] \n  2 -> 3 [size =\"27669504\"]\n  3 [size=\"64845824\", alpha=\"0.13\", expect_size=\"32422912\"] \n  3 -> 4 [size =\"32422912\"]\n  4 [size=\"73033728\", alpha=\"0.00\", expect_size=\"36516864\"] \n  4 -> 5 [size =\"36516864\"]\n  5 [size=\"37693440\", alpha=\"0.08\", expect_size=\"18846720\"] \n  5 -> 6 [size =\"18846720\"]\n  6 [size=\"93812736\", alpha=\"0.11\", expect_size=\"46906368\"] \n  6 -> 7 [size =\"46906368\"]\n  7 [size=\"68292608\", alpha=\"0.15\", expect_size=\"34146304\"] \n  7 -> 8 [size =\"34146304\"]\n  8 [size=\"20488192\", alpha=\"0.18\", expect_size=\"10244096\"] \n  8 -> 9 [size =\"10244096\"]\n  9 [size=\"53360640\", alpha=\"0.12\", expect_size=\"26680320\"] \n  9 -> 10 [size =\"26680320\"]\n  10 [size=\"74379264\", alpha=\"0.01\", expect_size=\"37189632\"] \n  10 -> 11 [size =\"37189632\"]\n  11 [size=\"101412864\", alpha=\"0.06\", expect_size=\"50706432\"] \n  11 -> 12 [size =\"50706432\"]\n  12 [size=\"21551104\", alpha=\"0.06\", expect_size=\"10775552\"] \n  12 -> 13 [size =\"10775552\"]\n  13 [size=\"53843968\", alpha=\"0.05\", expect_size=\"26921984\"] \n  13 -> 14 [size =\"26921984\"]\n  14 [size=\"20916224\", alpha=\"0.13\", expect_size=\"10458112\"] \n  14 -> 15 [size =\"10458112\"]\n  15 [size=\"22452224\", alpha=\"0.08\", expect_size=\"11226112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20643840\", alpha=\"0.04\", expect_size=\"6193152\"] \n  1 -> 2 [size =\"6193152\"]\n  2 [size=\"74816853\", alpha=\"0.20\", expect_size=\"22445056\"] \n  2 -> 3 [size =\"22445056\"]\n  3 [size=\"47042560\", alpha=\"0.08\", expect_size=\"14112768\"] \n  3 -> 4 [size =\"14112768\"]\n  4 [size=\"115961173\", alpha=\"0.09\", expect_size=\"34788352\"] \n  4 -> 5 [size =\"34788352\"]\n  5 [size=\"46441813\", alpha=\"0.00\", expect_size=\"13932544\"] \n  5 -> 6 [size =\"13932544\"]\n  6 [size=\"36430507\", alpha=\"0.10\", expect_size=\"10929152\"] \n  6 -> 7 [size =\"10929152\"]\n  7 [size=\"167819947\", alpha=\"0.01\", expect_size=\"50345984\"] \n  7 -> 8 [size =\"50345984\"]\n  8 [size=\"79025493\", alpha=\"0.06\", expect_size=\"23707648\"] \n  8 -> 9 [size =\"23707648\"]\n  9 [size=\"72645973\", alpha=\"0.10\", expect_size=\"21793792\"] \n  9 -> 10 [size =\"21793792\"]\n  10 [size=\"79940267\", alpha=\"0.11\", expect_size=\"23982080\"] \n  10 -> 11 [size =\"23982080\"]\n  11 [size=\"122258773\", alpha=\"0.03\", expect_size=\"36677632\"] \n  11 -> 12 [size =\"36677632\"]\n  12 [size=\"150746453\", alpha=\"0.00\", expect_size=\"45223936\"] \n  12 -> 13 [size =\"45223936\"]\n  13 [size=\"148387840\", alpha=\"0.17\", expect_size=\"44516352\"] \n  13 -> 14 [size =\"44516352\"]\n  14 [size=\"52520960\", alpha=\"0.14\", expect_size=\"15756288\"] \n  14 -> 15 [size =\"15756288\"]\n  15 [size=\"120436053\", alpha=\"0.03\", expect_size=\"36130816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23715840\", alpha=\"0.17\", expect_size=\"9486336\"] \n  1 -> 8 [size =\"9486336\"]\n  1 -> 12 [size =\"9486336\"]\n  2 [size=\"28963840\", alpha=\"0.11\", expect_size=\"11585536\"] \n  2 -> 12 [size =\"11585536\"]\n  3 [size=\"95651840\", alpha=\"0.07\", expect_size=\"38260736\"] \n  3 -> 7 [size =\"38260736\"]\n  3 -> 9 [size =\"38260736\"]\n  4 [size=\"23569920\", alpha=\"0.05\", expect_size=\"9427968\"] \n  4 -> 6 [size =\"9427968\"]\n  4 -> 7 [size =\"9427968\"]\n  4 -> 10 [size =\"9427968\"]\n  4 -> 11 [size =\"9427968\"]\n  4 -> 12 [size =\"9427968\"]\n  4 -> 13 [size =\"9427968\"]\n  5 [size=\"122508800\", alpha=\"0.04\", expect_size=\"49003520\"] \n  5 -> 7 [size =\"49003520\"]\n  5 -> 13 [size =\"49003520\"]\n  6 [size=\"41070080\", alpha=\"0.02\", expect_size=\"16428032\"] \n  6 -> 14 [size =\"16428032\"]\n  7 [size=\"46161920\", alpha=\"0.02\", expect_size=\"18464768\"] \n  8 [size=\"20948480\", alpha=\"0.17\", expect_size=\"8379392\"] \n  9 [size=\"78369280\", alpha=\"0.03\", expect_size=\"31347712\"] \n  10 [size=\"110673920\", alpha=\"0.09\", expect_size=\"44269568\"] \n  10 -> 14 [size =\"44269568\"]\n  11 [size=\"44203520\", alpha=\"0.17\", expect_size=\"17681408\"] \n  11 -> 15 [size =\"17681408\"]\n  12 [size=\"29143040\", alpha=\"0.03\", expect_size=\"11657216\"] \n  12 -> 14 [size =\"11657216\"]\n  13 [size=\"95784960\", alpha=\"0.18\", expect_size=\"38313984\"] \n  14 [size=\"20733440\", alpha=\"0.11\", expect_size=\"8293376\"] \n  15 [size=\"49615360\", alpha=\"0.10\", expect_size=\"19846144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74162176\", alpha=\"0.05\", expect_size=\"37081088\"] \n  2 [size=\"28043264\", alpha=\"0.15\", expect_size=\"14021632\"] \n  2 -> 3 [size =\"14021632\"]\n  2 -> 4 [size =\"14021632\"]\n  3 [size=\"31830016\", alpha=\"0.07\", expect_size=\"15915008\"] \n  3 -> 5 [size =\"15915008\"]\n  3 -> 6 [size =\"15915008\"]\n  4 [size=\"31930368\", alpha=\"0.10\", expect_size=\"15965184\"] \n  4 -> 5 [size =\"15965184\"]\n  5 [size=\"35172352\", alpha=\"0.13\", expect_size=\"17586176\"] \n  5 -> 8 [size =\"17586176\"]\n  6 [size=\"44453888\", alpha=\"0.15\", expect_size=\"22226944\"] \n  6 -> 7 [size =\"22226944\"]\n  7 [size=\"34390016\", alpha=\"0.06\", expect_size=\"17195008\"] \n  7 -> 9 [size =\"17195008\"]\n  8 [size=\"34232320\", alpha=\"0.01\", expect_size=\"17116160\"] \n  8 -> 9 [size =\"17116160\"]\n  8 -> 10 [size =\"17116160\"]\n  9 [size=\"94287872\", alpha=\"0.16\", expect_size=\"47143936\"] \n  9 -> 11 [size =\"47143936\"]\n  10 [size=\"73773056\", alpha=\"0.13\", expect_size=\"36886528\"] \n  10 -> 11 [size =\"36886528\"]\n  11 [size=\"65470464\", alpha=\"0.11\", expect_size=\"32735232\"] \n  11 -> 12 [size =\"32735232\"]\n  11 -> 13 [size =\"32735232\"]\n  12 [size=\"90198016\", alpha=\"0.18\", expect_size=\"45099008\"] \n  12 -> 14 [size =\"45099008\"]\n  13 [size=\"64638976\", alpha=\"0.06\", expect_size=\"32319488\"] \n  13 -> 14 [size =\"32319488\"]\n  13 -> 15 [size =\"32319488\"]\n  14 [size=\"95690752\", alpha=\"0.08\", expect_size=\"47845376\"] \n  15 [size=\"47910912\", alpha=\"0.16\", expect_size=\"23955456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72013824\", alpha=\"0.13\", expect_size=\"36006912\"] \n  1 -> 13 [size =\"36006912\"]\n  1 -> 15 [size =\"36006912\"]\n  2 [size=\"82341888\", alpha=\"0.00\", expect_size=\"41170944\"] \n  2 -> 11 [size =\"41170944\"]\n  2 -> 15 [size =\"41170944\"]\n  3 [size=\"85399552\", alpha=\"0.16\", expect_size=\"42699776\"] \n  3 -> 13 [size =\"42699776\"]\n  3 -> 14 [size =\"42699776\"]\n  3 -> 15 [size =\"42699776\"]\n  4 [size=\"59527168\", alpha=\"0.07\", expect_size=\"29763584\"] \n  4 -> 15 [size =\"29763584\"]\n  5 [size=\"78546944\", alpha=\"0.04\", expect_size=\"39273472\"] \n  5 -> 12 [size =\"39273472\"]\n  5 -> 14 [size =\"39273472\"]\n  5 -> 15 [size =\"39273472\"]\n  6 [size=\"83148800\", alpha=\"0.07\", expect_size=\"41574400\"] \n  6 -> 12 [size =\"41574400\"]\n  6 -> 14 [size =\"41574400\"]\n  6 -> 15 [size =\"41574400\"]\n  7 [size=\"97615872\", alpha=\"0.01\", expect_size=\"48807936\"] \n  7 -> 12 [size =\"48807936\"]\n  7 -> 15 [size =\"48807936\"]\n  7 -> 15 [size =\"48807936\"]\n  8 [size=\"69212160\", alpha=\"0.04\", expect_size=\"34606080\"] \n  9 [size=\"76226560\", alpha=\"0.10\", expect_size=\"38113280\"] \n  9 -> 12 [size =\"38113280\"]\n  10 [size=\"48924672\", alpha=\"0.20\", expect_size=\"24462336\"] \n  10 -> 12 [size =\"24462336\"]\n  10 -> 14 [size =\"24462336\"]\n  10 -> 15 [size =\"24462336\"]\n  11 [size=\"93028352\", alpha=\"0.07\", expect_size=\"46514176\"] \n  12 [size=\"60581888\", alpha=\"0.19\", expect_size=\"30290944\"] \n  13 [size=\"61368320\", alpha=\"0.20\", expect_size=\"30684160\"] \n  14 [size=\"41373696\", alpha=\"0.04\", expect_size=\"20686848\"] \n  15 [size=\"73539584\", alpha=\"0.19\", expect_size=\"36769792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98850133\", alpha=\"0.14\", expect_size=\"29655040\"] \n  1 -> 10 [size =\"29655040\"]\n  2 [size=\"66003627\", alpha=\"0.18\", expect_size=\"19801088\"] \n  2 -> 8 [size =\"19801088\"]\n  2 -> 9 [size =\"19801088\"]\n  2 -> 11 [size =\"19801088\"]\n  3 [size=\"130276693\", alpha=\"0.17\", expect_size=\"39083008\"] \n  3 -> 7 [size =\"39083008\"]\n  3 -> 10 [size =\"39083008\"]\n  4 [size=\"18677760\", alpha=\"0.14\", expect_size=\"5603328\"] \n  4 -> 9 [size =\"5603328\"]\n  5 [size=\"127313920\", alpha=\"0.06\", expect_size=\"38194176\"] \n  5 -> 10 [size =\"38194176\"]\n  5 -> 11 [size =\"38194176\"]\n  6 [size=\"160938667\", alpha=\"0.01\", expect_size=\"48281600\"] \n  6 -> 7 [size =\"48281600\"]\n  6 -> 8 [size =\"48281600\"]\n  7 [size=\"115691520\", alpha=\"0.17\", expect_size=\"34707456\"] \n  7 -> 12 [size =\"34707456\"]\n  7 -> 14 [size =\"34707456\"]\n  8 [size=\"90852693\", alpha=\"0.02\", expect_size=\"27255808\"] \n  8 -> 13 [size =\"27255808\"]\n  8 -> 15 [size =\"27255808\"]\n  9 [size=\"135908693\", alpha=\"0.01\", expect_size=\"40772608\"] \n  10 [size=\"26125653\", alpha=\"0.07\", expect_size=\"7837696\"] \n  11 [size=\"66744320\", alpha=\"0.07\", expect_size=\"20023296\"] \n  12 [size=\"20237653\", alpha=\"0.09\", expect_size=\"6071296\"] \n  13 [size=\"162805760\", alpha=\"0.05\", expect_size=\"48841728\"] \n  14 [size=\"138506240\", alpha=\"0.04\", expect_size=\"41551872\"] \n  15 [size=\"92426240\", alpha=\"0.06\", expect_size=\"27727872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35386027\", alpha=\"0.06\", expect_size=\"10615808\"] \n  1 -> 2 [size =\"10615808\"]\n  2 [size=\"63747413\", alpha=\"0.14\", expect_size=\"19124224\"] \n  2 -> 3 [size =\"19124224\"]\n  3 [size=\"131932160\", alpha=\"0.02\", expect_size=\"39579648\"] \n  3 -> 4 [size =\"39579648\"]\n  4 [size=\"162088960\", alpha=\"0.01\", expect_size=\"48626688\"] \n  4 -> 5 [size =\"48626688\"]\n  5 [size=\"117555200\", alpha=\"0.13\", expect_size=\"35266560\"] \n  5 -> 6 [size =\"35266560\"]\n  6 [size=\"61129387\", alpha=\"0.15\", expect_size=\"18338816\"] \n  6 -> 7 [size =\"18338816\"]\n  7 [size=\"117940907\", alpha=\"0.03\", expect_size=\"35382272\"] \n  7 -> 8 [size =\"35382272\"]\n  8 [size=\"140441600\", alpha=\"0.17\", expect_size=\"42132480\"] \n  8 -> 9 [size =\"42132480\"]\n  9 [size=\"142605653\", alpha=\"0.13\", expect_size=\"42781696\"] \n  9 -> 10 [size =\"42781696\"]\n  10 [size=\"89879893\", alpha=\"0.14\", expect_size=\"26963968\"] \n  10 -> 11 [size =\"26963968\"]\n  11 [size=\"40277333\", alpha=\"0.13\", expect_size=\"12083200\"] \n  11 -> 12 [size =\"12083200\"]\n  12 [size=\"91139413\", alpha=\"0.02\", expect_size=\"27341824\"] \n  12 -> 13 [size =\"27341824\"]\n  13 [size=\"45257387\", alpha=\"0.19\", expect_size=\"13577216\"] \n  13 -> 14 [size =\"13577216\"]\n  14 [size=\"61207893\", alpha=\"0.12\", expect_size=\"18362368\"] \n  14 -> 15 [size =\"18362368\"]\n  15 [size=\"65802240\", alpha=\"0.10\", expect_size=\"19740672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69094400\", alpha=\"0.05\", expect_size=\"27637760\"] \n  1 -> 12 [size =\"27637760\"]\n  2 [size=\"24243200\", alpha=\"0.06\", expect_size=\"9697280\"] \n  2 -> 13 [size =\"9697280\"]\n  2 -> 14 [size =\"9697280\"]\n  2 -> 15 [size =\"9697280\"]\n  3 [size=\"88168960\", alpha=\"0.07\", expect_size=\"35267584\"] \n  3 -> 13 [size =\"35267584\"]\n  3 -> 14 [size =\"35267584\"]\n  4 [size=\"72368640\", alpha=\"0.13\", expect_size=\"28947456\"] \n  4 -> 13 [size =\"28947456\"]\n  4 -> 14 [size =\"28947456\"]\n  4 -> 15 [size =\"28947456\"]\n  5 [size=\"34839040\", alpha=\"0.06\", expect_size=\"13935616\"] \n  5 -> 15 [size =\"13935616\"]\n  6 [size=\"115898880\", alpha=\"0.16\", expect_size=\"46359552\"] \n  6 -> 13 [size =\"46359552\"]\n  6 -> 14 [size =\"46359552\"]\n  7 [size=\"57466880\", alpha=\"0.16\", expect_size=\"22986752\"] \n  7 -> 12 [size =\"22986752\"]\n  8 [size=\"115842560\", alpha=\"0.02\", expect_size=\"46337024\"] \n  8 -> 13 [size =\"46337024\"]\n  8 -> 14 [size =\"46337024\"]\n  8 -> 15 [size =\"46337024\"]\n  9 [size=\"69836800\", alpha=\"0.02\", expect_size=\"27934720\"] \n  9 -> 14 [size =\"27934720\"]\n  10 [size=\"50910720\", alpha=\"0.14\", expect_size=\"20364288\"] \n  10 -> 14 [size =\"20364288\"]\n  11 [size=\"45125120\", alpha=\"0.10\", expect_size=\"18050048\"] \n  11 -> 12 [size =\"18050048\"]\n  11 -> 13 [size =\"18050048\"]\n  12 [size=\"76551680\", alpha=\"0.16\", expect_size=\"30620672\"] \n  13 [size=\"110243840\", alpha=\"0.17\", expect_size=\"44097536\"] \n  14 [size=\"33960960\", alpha=\"0.09\", expect_size=\"13584384\"] \n  15 [size=\"111992320\", alpha=\"0.00\", expect_size=\"44796928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88166400\", alpha=\"0.18\", expect_size=\"26449920\"] \n  1 -> 2 [size =\"26449920\"]\n  2 [size=\"106151253\", alpha=\"0.20\", expect_size=\"31845376\"] \n  2 -> 3 [size =\"31845376\"]\n  3 [size=\"86838613\", alpha=\"0.12\", expect_size=\"26051584\"] \n  3 -> 4 [size =\"26051584\"]\n  4 [size=\"148613120\", alpha=\"0.17\", expect_size=\"44583936\"] \n  4 -> 5 [size =\"44583936\"]\n  5 [size=\"161184427\", alpha=\"0.08\", expect_size=\"48355328\"] \n  5 -> 6 [size =\"48355328\"]\n  6 [size=\"54654293\", alpha=\"0.14\", expect_size=\"16396288\"] \n  6 -> 7 [size =\"16396288\"]\n  7 [size=\"65812480\", alpha=\"0.16\", expect_size=\"19743744\"] \n  7 -> 8 [size =\"19743744\"]\n  8 [size=\"148449280\", alpha=\"0.13\", expect_size=\"44534784\"] \n  8 -> 9 [size =\"44534784\"]\n  9 [size=\"106711040\", alpha=\"0.11\", expect_size=\"32013312\"] \n  9 -> 10 [size =\"32013312\"]\n  10 [size=\"155658240\", alpha=\"0.06\", expect_size=\"46697472\"] \n  10 -> 11 [size =\"46697472\"]\n  11 [size=\"21920427\", alpha=\"0.09\", expect_size=\"6576128\"] \n  11 -> 12 [size =\"6576128\"]\n  12 [size=\"160167253\", alpha=\"0.01\", expect_size=\"48050176\"] \n  12 -> 13 [size =\"48050176\"]\n  13 [size=\"159539200\", alpha=\"0.04\", expect_size=\"47861760\"] \n  13 -> 14 [size =\"47861760\"]\n  14 [size=\"94088533\", alpha=\"0.05\", expect_size=\"28226560\"] \n  14 -> 15 [size =\"28226560\"]\n  15 [size=\"72987307\", alpha=\"0.20\", expect_size=\"21896192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75874987\", alpha=\"0.19\", expect_size=\"22762496\"] \n  2 [size=\"25586347\", alpha=\"0.09\", expect_size=\"7675904\"] \n  2 -> 11 [size =\"7675904\"]\n  2 -> 13 [size =\"7675904\"]\n  3 [size=\"76352853\", alpha=\"0.14\", expect_size=\"22905856\"] \n  3 -> 12 [size =\"22905856\"]\n  3 -> 13 [size =\"22905856\"]\n  4 [size=\"112865280\", alpha=\"0.03\", expect_size=\"33859584\"] \n  4 -> 12 [size =\"33859584\"]\n  4 -> 15 [size =\"33859584\"]\n  5 [size=\"164324693\", alpha=\"0.02\", expect_size=\"49297408\"] \n  5 -> 15 [size =\"49297408\"]\n  6 [size=\"19234133\", alpha=\"0.09\", expect_size=\"5770240\"] \n  6 -> 12 [size =\"5770240\"]\n  6 -> 14 [size =\"5770240\"]\n  6 -> 15 [size =\"5770240\"]\n  7 [size=\"160921600\", alpha=\"0.06\", expect_size=\"48276480\"] \n  7 -> 12 [size =\"48276480\"]\n  7 -> 15 [size =\"48276480\"]\n  8 [size=\"141626027\", alpha=\"0.01\", expect_size=\"42487808\"] \n  9 [size=\"28296533\", alpha=\"0.02\", expect_size=\"8488960\"] \n  9 -> 12 [size =\"8488960\"]\n  9 -> 15 [size =\"8488960\"]\n  10 [size=\"138697387\", alpha=\"0.12\", expect_size=\"41609216\"] \n  11 [size=\"69423787\", alpha=\"0.07\", expect_size=\"20827136\"] \n  12 [size=\"64846507\", alpha=\"0.11\", expect_size=\"19453952\"] \n  13 [size=\"138987520\", alpha=\"0.18\", expect_size=\"41696256\"] \n  14 [size=\"90381653\", alpha=\"0.15\", expect_size=\"27114496\"] \n  15 [size=\"117121707\", alpha=\"0.12\", expect_size=\"35136512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71685120\", alpha=\"0.14\", expect_size=\"28674048\"] \n  1 -> 5 [size =\"28674048\"]\n  1 -> 6 [size =\"28674048\"]\n  1 -> 8 [size =\"28674048\"]\n  2 [size=\"67230720\", alpha=\"0.08\", expect_size=\"26892288\"] \n  2 -> 6 [size =\"26892288\"]\n  2 -> 8 [size =\"26892288\"]\n  3 [size=\"117291520\", alpha=\"0.04\", expect_size=\"46916608\"] \n  3 -> 6 [size =\"46916608\"]\n  3 -> 7 [size =\"46916608\"]\n  3 -> 8 [size =\"46916608\"]\n  4 [size=\"114470400\", alpha=\"0.18\", expect_size=\"45788160\"] \n  4 -> 5 [size =\"45788160\"]\n  4 -> 6 [size =\"45788160\"]\n  4 -> 8 [size =\"45788160\"]\n  5 [size=\"74291200\", alpha=\"0.09\", expect_size=\"29716480\"] \n  5 -> 10 [size =\"29716480\"]\n  5 -> 12 [size =\"29716480\"]\n  6 [size=\"65958400\", alpha=\"0.11\", expect_size=\"26383360\"] \n  6 -> 11 [size =\"26383360\"]\n  7 [size=\"81607680\", alpha=\"0.06\", expect_size=\"32643072\"] \n  7 -> 11 [size =\"32643072\"]\n  8 [size=\"15600640\", alpha=\"0.06\", expect_size=\"6240256\"] \n  8 -> 9 [size =\"6240256\"]\n  8 -> 11 [size =\"6240256\"]\n  8 -> 12 [size =\"6240256\"]\n  9 [size=\"64225280\", alpha=\"0.20\", expect_size=\"25690112\"] \n  9 -> 13 [size =\"25690112\"]\n  9 -> 14 [size =\"25690112\"]\n  9 -> 15 [size =\"25690112\"]\n  10 [size=\"71828480\", alpha=\"0.03\", expect_size=\"28731392\"] \n  10 -> 13 [size =\"28731392\"]\n  10 -> 14 [size =\"28731392\"]\n  10 -> 15 [size =\"28731392\"]\n  11 [size=\"81067520\", alpha=\"0.03\", expect_size=\"32427008\"] \n  11 -> 13 [size =\"32427008\"]\n  11 -> 15 [size =\"32427008\"]\n  12 [size=\"45309440\", alpha=\"0.10\", expect_size=\"18123776\"] \n  12 -> 13 [size =\"18123776\"]\n  12 -> 14 [size =\"18123776\"]\n  12 -> 15 [size =\"18123776\"]\n  13 [size=\"91880960\", alpha=\"0.12\", expect_size=\"36752384\"] \n  14 [size=\"117649920\", alpha=\"0.15\", expect_size=\"47059968\"] \n  15 [size=\"103001600\", alpha=\"0.13\", expect_size=\"41200640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62255787\", alpha=\"0.17\", expect_size=\"18676736\"] \n  1 -> 10 [size =\"18676736\"]\n  1 -> 12 [size =\"18676736\"]\n  1 -> 14 [size =\"18676736\"]\n  1 -> 14 [size =\"18676736\"]\n  2 [size=\"82367147\", alpha=\"0.11\", expect_size=\"24710144\"] \n  2 -> 10 [size =\"24710144\"]\n  2 -> 12 [size =\"24710144\"]\n  2 -> 13 [size =\"24710144\"]\n  2 -> 14 [size =\"24710144\"]\n  2 -> 15 [size =\"24710144\"]\n  3 [size=\"168686933\", alpha=\"0.08\", expect_size=\"50606080\"] \n  3 -> 10 [size =\"50606080\"]\n  3 -> 12 [size =\"50606080\"]\n  3 -> 14 [size =\"50606080\"]\n  3 -> 15 [size =\"50606080\"]\n  3 -> 15 [size =\"50606080\"]\n  4 [size=\"169195520\", alpha=\"0.19\", expect_size=\"50758656\"] \n  4 -> 10 [size =\"50758656\"]\n  4 -> 12 [size =\"50758656\"]\n  4 -> 13 [size =\"50758656\"]\n  5 [size=\"115507200\", alpha=\"0.18\", expect_size=\"34652160\"] \n  5 -> 10 [size =\"34652160\"]\n  5 -> 12 [size =\"34652160\"]\n  5 -> 13 [size =\"34652160\"]\n  5 -> 15 [size =\"34652160\"]\n  6 [size=\"166062080\", alpha=\"0.15\", expect_size=\"49818624\"] \n  6 -> 10 [size =\"49818624\"]\n  6 -> 12 [size =\"49818624\"]\n  6 -> 13 [size =\"49818624\"]\n  7 [size=\"64027307\", alpha=\"0.20\", expect_size=\"19208192\"] \n  7 -> 11 [size =\"19208192\"]\n  7 -> 12 [size =\"19208192\"]\n  7 -> 14 [size =\"19208192\"]\n  8 [size=\"108875093\", alpha=\"0.20\", expect_size=\"32662528\"] \n  8 -> 10 [size =\"32662528\"]\n  8 -> 11 [size =\"32662528\"]\n  8 -> 12 [size =\"32662528\"]\n  8 -> 13 [size =\"32662528\"]\n  8 -> 14 [size =\"32662528\"]\n  9 [size=\"130764800\", alpha=\"0.02\", expect_size=\"39229440\"] \n  9 -> 10 [size =\"39229440\"]\n  9 -> 11 [size =\"39229440\"]\n  9 -> 13 [size =\"39229440\"]\n  9 -> 14 [size =\"39229440\"]\n  9 -> 14 [size =\"39229440\"]\n  9 -> 15 [size =\"39229440\"]\n  10 [size=\"124610560\", alpha=\"0.08\", expect_size=\"37383168\"] \n  11 [size=\"112916480\", alpha=\"0.02\", expect_size=\"33874944\"] \n  12 [size=\"91866453\", alpha=\"0.01\", expect_size=\"27559936\"] \n  13 [size=\"21166080\", alpha=\"0.12\", expect_size=\"6349824\"] \n  14 [size=\"84691627\", alpha=\"0.12\", expect_size=\"25407488\"] \n  15 [size=\"79127893\", alpha=\"0.08\", expect_size=\"23738368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46141440\", alpha=\"0.02\", expect_size=\"13842432\"] \n  1 -> 7 [size =\"13842432\"]\n  1 -> 8 [size =\"13842432\"]\n  1 -> 9 [size =\"13842432\"]\n  1 -> 10 [size =\"13842432\"]\n  2 [size=\"97078613\", alpha=\"0.18\", expect_size=\"29123584\"] \n  2 -> 7 [size =\"29123584\"]\n  2 -> 8 [size =\"29123584\"]\n  2 -> 9 [size =\"29123584\"]\n  2 -> 10 [size =\"29123584\"]\n  3 [size=\"146954240\", alpha=\"0.09\", expect_size=\"44086272\"] \n  3 -> 6 [size =\"44086272\"]\n  3 -> 7 [size =\"44086272\"]\n  3 -> 10 [size =\"44086272\"]\n  4 [size=\"132478293\", alpha=\"0.02\", expect_size=\"39743488\"] \n  4 -> 7 [size =\"39743488\"]\n  4 -> 9 [size =\"39743488\"]\n  5 [size=\"124668587\", alpha=\"0.15\", expect_size=\"37400576\"] \n  5 -> 8 [size =\"37400576\"]\n  6 [size=\"164389547\", alpha=\"0.00\", expect_size=\"49316864\"] \n  6 -> 13 [size =\"49316864\"]\n  6 -> 15 [size =\"49316864\"]\n  7 [size=\"110571520\", alpha=\"0.14\", expect_size=\"33171456\"] \n  7 -> 12 [size =\"33171456\"]\n  7 -> 15 [size =\"33171456\"]\n  8 [size=\"169465173\", alpha=\"0.17\", expect_size=\"50839552\"] \n  8 -> 12 [size =\"50839552\"]\n  8 -> 14 [size =\"50839552\"]\n  8 -> 15 [size =\"50839552\"]\n  9 [size=\"66600960\", alpha=\"0.03\", expect_size=\"19980288\"] \n  9 -> 11 [size =\"19980288\"]\n  9 -> 12 [size =\"19980288\"]\n  9 -> 14 [size =\"19980288\"]\n  10 [size=\"109349547\", alpha=\"0.06\", expect_size=\"32804864\"] \n  10 -> 11 [size =\"32804864\"]\n  10 -> 12 [size =\"32804864\"]\n  10 -> 13 [size =\"32804864\"]\n  11 [size=\"61477547\", alpha=\"0.09\", expect_size=\"18443264\"] \n  12 [size=\"73803093\", alpha=\"0.18\", expect_size=\"22140928\"] \n  13 [size=\"55176533\", alpha=\"0.07\", expect_size=\"16552960\"] \n  14 [size=\"126655147\", alpha=\"0.09\", expect_size=\"37996544\"] \n  15 [size=\"142807040\", alpha=\"0.08\", expect_size=\"42842112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88104960\", alpha=\"0.12\", expect_size=\"26431488\"] \n  2 [size=\"121337173\", alpha=\"0.12\", expect_size=\"36401152\"] \n  2 -> 5 [size =\"36401152\"]\n  3 [size=\"148708693\", alpha=\"0.11\", expect_size=\"44612608\"] \n  3 -> 4 [size =\"44612608\"]\n  3 -> 5 [size =\"44612608\"]\n  4 [size=\"20217173\", alpha=\"0.16\", expect_size=\"6065152\"] \n  5 [size=\"49524053\", alpha=\"0.16\", expect_size=\"14857216\"] \n  5 -> 6 [size =\"14857216\"]\n  5 -> 7 [size =\"14857216\"]\n  5 -> 8 [size =\"14857216\"]\n  6 [size=\"144090453\", alpha=\"0.14\", expect_size=\"43227136\"] \n  6 -> 9 [size =\"43227136\"]\n  7 [size=\"77250560\", alpha=\"0.14\", expect_size=\"23175168\"] \n  7 -> 9 [size =\"23175168\"]\n  7 -> 11 [size =\"23175168\"]\n  8 [size=\"110062933\", alpha=\"0.18\", expect_size=\"33018880\"] \n  8 -> 10 [size =\"33018880\"]\n  8 -> 11 [size =\"33018880\"]\n  9 [size=\"23982080\", alpha=\"0.04\", expect_size=\"7194624\"] \n  9 -> 13 [size =\"7194624\"]\n  10 [size=\"166287360\", alpha=\"0.12\", expect_size=\"49886208\"] \n  10 -> 12 [size =\"49886208\"]\n  11 [size=\"160006827\", alpha=\"0.15\", expect_size=\"48002048\"] \n  11 -> 12 [size =\"48002048\"]\n  12 [size=\"97378987\", alpha=\"0.14\", expect_size=\"29213696\"] \n  12 -> 14 [size =\"29213696\"]\n  12 -> 15 [size =\"29213696\"]\n  13 [size=\"34498560\", alpha=\"0.01\", expect_size=\"10349568\"] \n  13 -> 14 [size =\"10349568\"]\n  14 [size=\"123723093\", alpha=\"0.14\", expect_size=\"37116928\"] \n  15 [size=\"91931307\", alpha=\"0.12\", expect_size=\"27579392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83650560\", alpha=\"0.18\", expect_size=\"33460224\"] \n  1 -> 8 [size =\"33460224\"]\n  1 -> 9 [size =\"33460224\"]\n  1 -> 10 [size =\"33460224\"]\n  2 [size=\"91686400\", alpha=\"0.04\", expect_size=\"36674560\"] \n  2 -> 7 [size =\"36674560\"]\n  3 [size=\"51294720\", alpha=\"0.08\", expect_size=\"20517888\"] \n  3 -> 6 [size =\"20517888\"]\n  4 [size=\"28423680\", alpha=\"0.01\", expect_size=\"11369472\"] \n  4 -> 7 [size =\"11369472\"]\n  4 -> 8 [size =\"11369472\"]\n  4 -> 9 [size =\"11369472\"]\n  5 [size=\"122598400\", alpha=\"0.06\", expect_size=\"49039360\"] \n  5 -> 7 [size =\"49039360\"]\n  5 -> 8 [size =\"49039360\"]\n  5 -> 10 [size =\"49039360\"]\n  6 [size=\"22553600\", alpha=\"0.19\", expect_size=\"9021440\"] \n  6 -> 13 [size =\"9021440\"]\n  6 -> 14 [size =\"9021440\"]\n  6 -> 15 [size =\"9021440\"]\n  7 [size=\"60464640\", alpha=\"0.18\", expect_size=\"24185856\"] \n  7 -> 13 [size =\"24185856\"]\n  7 -> 14 [size =\"24185856\"]\n  7 -> 15 [size =\"24185856\"]\n  8 [size=\"51445760\", alpha=\"0.02\", expect_size=\"20578304\"] \n  8 -> 14 [size =\"20578304\"]\n  8 -> 15 [size =\"20578304\"]\n  9 [size=\"67696640\", alpha=\"0.20\", expect_size=\"27078656\"] \n  9 -> 11 [size =\"27078656\"]\n  9 -> 12 [size =\"27078656\"]\n  9 -> 14 [size =\"27078656\"]\n  9 -> 15 [size =\"27078656\"]\n  10 [size=\"42997760\", alpha=\"0.03\", expect_size=\"17199104\"] \n  10 -> 12 [size =\"17199104\"]\n  10 -> 13 [size =\"17199104\"]\n  10 -> 14 [size =\"17199104\"]\n  11 [size=\"102722560\", alpha=\"0.08\", expect_size=\"41089024\"] \n  12 [size=\"90611200\", alpha=\"0.02\", expect_size=\"36244480\"] \n  13 [size=\"115110400\", alpha=\"0.02\", expect_size=\"46044160\"] \n  14 [size=\"46461440\", alpha=\"0.01\", expect_size=\"18584576\"] \n  15 [size=\"51591680\", alpha=\"0.01\", expect_size=\"20636672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113799680\", alpha=\"0.07\", expect_size=\"45519872\"] \n  1 -> 2 [size =\"45519872\"]\n  2 [size=\"128007680\", alpha=\"0.02\", expect_size=\"51203072\"] \n  2 -> 3 [size =\"51203072\"]\n  3 [size=\"74332160\", alpha=\"0.13\", expect_size=\"29732864\"] \n  3 -> 4 [size =\"29732864\"]\n  4 [size=\"47923200\", alpha=\"0.01\", expect_size=\"19169280\"] \n  4 -> 5 [size =\"19169280\"]\n  5 [size=\"115366400\", alpha=\"0.03\", expect_size=\"46146560\"] \n  5 -> 6 [size =\"46146560\"]\n  6 [size=\"72207360\", alpha=\"0.12\", expect_size=\"28882944\"] \n  6 -> 7 [size =\"28882944\"]\n  7 [size=\"26723840\", alpha=\"0.05\", expect_size=\"10689536\"] \n  7 -> 8 [size =\"10689536\"]\n  8 [size=\"67100160\", alpha=\"0.11\", expect_size=\"26840064\"] \n  8 -> 9 [size =\"26840064\"]\n  9 [size=\"46164480\", alpha=\"0.01\", expect_size=\"18465792\"] \n  9 -> 10 [size =\"18465792\"]\n  10 [size=\"75220480\", alpha=\"0.12\", expect_size=\"30088192\"] \n  10 -> 11 [size =\"30088192\"]\n  11 [size=\"20003840\", alpha=\"0.19\", expect_size=\"8001536\"] \n  11 -> 12 [size =\"8001536\"]\n  12 [size=\"61624320\", alpha=\"0.01\", expect_size=\"24649728\"] \n  12 -> 13 [size =\"24649728\"]\n  13 [size=\"72640000\", alpha=\"0.05\", expect_size=\"29056000\"] \n  13 -> 14 [size =\"29056000\"]\n  14 [size=\"33141760\", alpha=\"0.00\", expect_size=\"13256704\"] \n  14 -> 15 [size =\"13256704\"]\n  15 [size=\"36664320\", alpha=\"0.13\", expect_size=\"14665728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26455040\", alpha=\"0.09\", expect_size=\"10582016\"] \n  1 -> 4 [size =\"10582016\"]\n  1 -> 5 [size =\"10582016\"]\n  2 [size=\"91676160\", alpha=\"0.01\", expect_size=\"36670464\"] \n  2 -> 4 [size =\"36670464\"]\n  2 -> 5 [size =\"36670464\"]\n  3 [size=\"41361920\", alpha=\"0.10\", expect_size=\"16544768\"] \n  3 -> 4 [size =\"16544768\"]\n  4 [size=\"104189440\", alpha=\"0.18\", expect_size=\"41675776\"] \n  4 -> 6 [size =\"41675776\"]\n  4 -> 7 [size =\"41675776\"]\n  4 -> 8 [size =\"41675776\"]\n  5 [size=\"114513920\", alpha=\"0.05\", expect_size=\"45805568\"] \n  5 -> 6 [size =\"45805568\"]\n  5 -> 8 [size =\"45805568\"]\n  6 [size=\"28024320\", alpha=\"0.18\", expect_size=\"11209728\"] \n  6 -> 9 [size =\"11209728\"]\n  7 [size=\"101936640\", alpha=\"0.09\", expect_size=\"40774656\"] \n  7 -> 9 [size =\"40774656\"]\n  7 -> 10 [size =\"40774656\"]\n  8 [size=\"43317760\", alpha=\"0.05\", expect_size=\"17327104\"] \n  8 -> 9 [size =\"17327104\"]\n  8 -> 10 [size =\"17327104\"]\n  9 [size=\"40317440\", alpha=\"0.11\", expect_size=\"16126976\"] \n  9 -> 11 [size =\"16126976\"]\n  9 -> 12 [size =\"16126976\"]\n  9 -> 13 [size =\"16126976\"]\n  10 [size=\"125109760\", alpha=\"0.01\", expect_size=\"50043904\"] \n  10 -> 11 [size =\"50043904\"]\n  10 -> 12 [size =\"50043904\"]\n  10 -> 13 [size =\"50043904\"]\n  11 [size=\"99479040\", alpha=\"0.19\", expect_size=\"39791616\"] \n  11 -> 14 [size =\"39791616\"]\n  12 [size=\"32468480\", alpha=\"0.09\", expect_size=\"12987392\"] \n  12 -> 14 [size =\"12987392\"]\n  13 [size=\"40509440\", alpha=\"0.12\", expect_size=\"16203776\"] \n  13 -> 14 [size =\"16203776\"]\n  13 -> 15 [size =\"16203776\"]\n  14 [size=\"100981760\", alpha=\"0.17\", expect_size=\"40392704\"] \n  15 [size=\"86620160\", alpha=\"0.15\", expect_size=\"34648064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69468160\", alpha=\"0.17\", expect_size=\"27787264\"] \n  1 -> 4 [size =\"27787264\"]\n  1 -> 5 [size =\"27787264\"]\n  2 [size=\"77798400\", alpha=\"0.11\", expect_size=\"31119360\"] \n  2 -> 3 [size =\"31119360\"]\n  2 -> 4 [size =\"31119360\"]\n  3 [size=\"41958400\", alpha=\"0.14\", expect_size=\"16783360\"] \n  4 [size=\"26355200\", alpha=\"0.15\", expect_size=\"10542080\"] \n  4 -> 6 [size =\"10542080\"]\n  5 [size=\"37539840\", alpha=\"0.15\", expect_size=\"15015936\"] \n  5 -> 7 [size =\"15015936\"]\n  6 [size=\"76582400\", alpha=\"0.14\", expect_size=\"30632960\"] \n  6 -> 8 [size =\"30632960\"]\n  6 -> 9 [size =\"30632960\"]\n  6 -> 10 [size =\"30632960\"]\n  7 [size=\"34444800\", alpha=\"0.13\", expect_size=\"13777920\"] \n  7 -> 8 [size =\"13777920\"]\n  7 -> 9 [size =\"13777920\"]\n  7 -> 10 [size =\"13777920\"]\n  8 [size=\"15477760\", alpha=\"0.19\", expect_size=\"6191104\"] \n  8 -> 11 [size =\"6191104\"]\n  8 -> 12 [size =\"6191104\"]\n  9 [size=\"34242560\", alpha=\"0.06\", expect_size=\"13697024\"] \n  9 -> 11 [size =\"13697024\"]\n  9 -> 12 [size =\"13697024\"]\n  10 [size=\"95905280\", alpha=\"0.10\", expect_size=\"38362112\"] \n  10 -> 11 [size =\"38362112\"]\n  10 -> 12 [size =\"38362112\"]\n  11 [size=\"76705280\", alpha=\"0.01\", expect_size=\"30682112\"] \n  11 -> 13 [size =\"30682112\"]\n  12 [size=\"57571840\", alpha=\"0.09\", expect_size=\"23028736\"] \n  12 -> 13 [size =\"23028736\"]\n  12 -> 14 [size =\"23028736\"]\n  13 [size=\"121871360\", alpha=\"0.09\", expect_size=\"48748544\"] \n  13 -> 15 [size =\"48748544\"]\n  14 [size=\"85880320\", alpha=\"0.18\", expect_size=\"34352128\"] \n  14 -> 15 [size =\"34352128\"]\n  15 [size=\"56435200\", alpha=\"0.05\", expect_size=\"22574080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79224320\", alpha=\"0.03\", expect_size=\"31689728\"] \n  1 -> 4 [size =\"31689728\"]\n  1 -> 5 [size =\"31689728\"]\n  2 [size=\"73111040\", alpha=\"0.14\", expect_size=\"29244416\"] \n  3 [size=\"54338560\", alpha=\"0.20\", expect_size=\"21735424\"] \n  4 [size=\"85821440\", alpha=\"0.19\", expect_size=\"34328576\"] \n  4 -> 7 [size =\"34328576\"]\n  4 -> 8 [size =\"34328576\"]\n  5 [size=\"88558080\", alpha=\"0.01\", expect_size=\"35423232\"] \n  5 -> 6 [size =\"35423232\"]\n  6 [size=\"113615360\", alpha=\"0.18\", expect_size=\"45446144\"] \n  7 [size=\"34565120\", alpha=\"0.06\", expect_size=\"13826048\"] \n  7 -> 9 [size =\"13826048\"]\n  7 -> 10 [size =\"13826048\"]\n  8 [size=\"78074880\", alpha=\"0.01\", expect_size=\"31229952\"] \n  9 [size=\"37862400\", alpha=\"0.09\", expect_size=\"15144960\"] \n  10 [size=\"29867520\", alpha=\"0.04\", expect_size=\"11947008\"] \n  10 -> 11 [size =\"11947008\"]\n  10 -> 12 [size =\"11947008\"]\n  10 -> 13 [size =\"11947008\"]\n  11 [size=\"49850880\", alpha=\"0.06\", expect_size=\"19940352\"] \n  11 -> 15 [size =\"19940352\"]\n  12 [size=\"68482560\", alpha=\"0.17\", expect_size=\"27393024\"] \n  12 -> 14 [size =\"27393024\"]\n  13 [size=\"35520000\", alpha=\"0.14\", expect_size=\"14208000\"] \n  13 -> 14 [size =\"14208000\"]\n  13 -> 15 [size =\"14208000\"]\n  14 [size=\"33728000\", alpha=\"0.14\", expect_size=\"13491200\"] \n  15 [size=\"26905600\", alpha=\"0.14\", expect_size=\"10762240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46233600\", alpha=\"0.05\", expect_size=\"18493440\"] \n  1 -> 4 [size =\"18493440\"]\n  2 [size=\"92856320\", alpha=\"0.01\", expect_size=\"37142528\"] \n  2 -> 5 [size =\"37142528\"]\n  2 -> 6 [size =\"37142528\"]\n  3 [size=\"89776640\", alpha=\"0.19\", expect_size=\"35910656\"] \n  3 -> 5 [size =\"35910656\"]\n  4 [size=\"17026560\", alpha=\"0.09\", expect_size=\"6810624\"] \n  4 -> 7 [size =\"6810624\"]\n  5 [size=\"15864320\", alpha=\"0.13\", expect_size=\"6345728\"] \n  5 -> 7 [size =\"6345728\"]\n  6 [size=\"126069760\", alpha=\"0.13\", expect_size=\"50427904\"] \n  6 -> 7 [size =\"50427904\"]\n  7 [size=\"88358400\", alpha=\"0.14\", expect_size=\"35343360\"] \n  7 -> 8 [size =\"35343360\"]\n  7 -> 9 [size =\"35343360\"]\n  8 [size=\"64801280\", alpha=\"0.13\", expect_size=\"25920512\"] \n  8 -> 11 [size =\"25920512\"]\n  8 -> 12 [size =\"25920512\"]\n  9 [size=\"64773120\", alpha=\"0.08\", expect_size=\"25909248\"] \n  9 -> 10 [size =\"25909248\"]\n  9 -> 11 [size =\"25909248\"]\n  9 -> 12 [size =\"25909248\"]\n  10 [size=\"69135360\", alpha=\"0.01\", expect_size=\"27654144\"] \n  10 -> 13 [size =\"27654144\"]\n  11 [size=\"23175680\", alpha=\"0.14\", expect_size=\"9270272\"] \n  11 -> 14 [size =\"9270272\"]\n  11 -> 15 [size =\"9270272\"]\n  12 [size=\"54809600\", alpha=\"0.16\", expect_size=\"21923840\"] \n  12 -> 14 [size =\"21923840\"]\n  12 -> 15 [size =\"21923840\"]\n  13 [size=\"59932160\", alpha=\"0.15\", expect_size=\"23972864\"] \n  14 [size=\"56023040\", alpha=\"0.01\", expect_size=\"22409216\"] \n  15 [size=\"111377920\", alpha=\"0.08\", expect_size=\"44551168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55060480\", alpha=\"0.07\", expect_size=\"27530240\"] \n  1 -> 14 [size =\"27530240\"]\n  1 -> 15 [size =\"27530240\"]\n  2 [size=\"56547328\", alpha=\"0.11\", expect_size=\"28273664\"] \n  2 -> 8 [size =\"28273664\"]\n  2 -> 9 [size =\"28273664\"]\n  2 -> 11 [size =\"28273664\"]\n  2 -> 14 [size =\"28273664\"]\n  2 -> 15 [size =\"28273664\"]\n  3 [size=\"55709696\", alpha=\"0.04\", expect_size=\"27854848\"] \n  3 -> 8 [size =\"27854848\"]\n  3 -> 9 [size =\"27854848\"]\n  3 -> 13 [size =\"27854848\"]\n  3 -> 15 [size =\"27854848\"]\n  4 [size=\"50403328\", alpha=\"0.05\", expect_size=\"25201664\"] \n  4 -> 9 [size =\"25201664\"]\n  4 -> 9 [size =\"25201664\"]\n  4 -> 11 [size =\"25201664\"]\n  4 -> 13 [size =\"25201664\"]\n  5 [size=\"49008640\", alpha=\"0.09\", expect_size=\"24504320\"] \n  5 -> 11 [size =\"24504320\"]\n  5 -> 15 [size =\"24504320\"]\n  6 [size=\"13264896\", alpha=\"0.05\", expect_size=\"6632448\"] \n  6 -> 9 [size =\"6632448\"]\n  6 -> 12 [size =\"6632448\"]\n  6 -> 13 [size =\"6632448\"]\n  7 [size=\"61874176\", alpha=\"0.13\", expect_size=\"30937088\"] \n  7 -> 10 [size =\"30937088\"]\n  7 -> 12 [size =\"30937088\"]\n  8 [size=\"12099584\", alpha=\"0.10\", expect_size=\"6049792\"] \n  9 [size=\"102139904\", alpha=\"0.16\", expect_size=\"51069952\"] \n  10 [size=\"46170112\", alpha=\"0.19\", expect_size=\"23085056\"] \n  11 [size=\"35037184\", alpha=\"0.08\", expect_size=\"17518592\"] \n  12 [size=\"66615296\", alpha=\"0.06\", expect_size=\"33307648\"] \n  13 [size=\"24741888\", alpha=\"0.16\", expect_size=\"12370944\"] \n  14 [size=\"43984896\", alpha=\"0.09\", expect_size=\"21992448\"] \n  15 [size=\"69132288\", alpha=\"0.14\", expect_size=\"34566144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32669013\", alpha=\"0.19\", expect_size=\"9800704\"] \n  1 -> 3 [size =\"9800704\"]\n  2 [size=\"103161173\", alpha=\"0.09\", expect_size=\"30948352\"] \n  3 [size=\"125897387\", alpha=\"0.18\", expect_size=\"37769216\"] \n  3 -> 4 [size =\"37769216\"]\n  4 [size=\"43100160\", alpha=\"0.11\", expect_size=\"12930048\"] \n  4 -> 5 [size =\"12930048\"]\n  5 [size=\"54685013\", alpha=\"0.11\", expect_size=\"16405504\"] \n  5 -> 6 [size =\"16405504\"]\n  5 -> 7 [size =\"16405504\"]\n  6 [size=\"101546667\", alpha=\"0.06\", expect_size=\"30464000\"] \n  7 [size=\"103734613\", alpha=\"0.03\", expect_size=\"31120384\"] \n  7 -> 8 [size =\"31120384\"]\n  8 [size=\"72843947\", alpha=\"0.05\", expect_size=\"21853184\"] \n  8 -> 9 [size =\"21853184\"]\n  8 -> 10 [size =\"21853184\"]\n  9 [size=\"141499733\", alpha=\"0.06\", expect_size=\"42449920\"] \n  9 -> 11 [size =\"42449920\"]\n  9 -> 12 [size =\"42449920\"]\n  10 [size=\"140738560\", alpha=\"0.04\", expect_size=\"42221568\"] \n  11 [size=\"114964480\", alpha=\"0.11\", expect_size=\"34489344\"] \n  11 -> 13 [size =\"34489344\"]\n  12 [size=\"105745067\", alpha=\"0.20\", expect_size=\"31723520\"] \n  12 -> 14 [size =\"31723520\"]\n  13 [size=\"17524053\", alpha=\"0.19\", expect_size=\"5257216\"] \n  13 -> 15 [size =\"5257216\"]\n  14 [size=\"158115840\", alpha=\"0.16\", expect_size=\"47434752\"] \n  15 [size=\"86879573\", alpha=\"0.03\", expect_size=\"26063872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78489600\", alpha=\"0.20\", expect_size=\"39244800\"] \n  1 -> 4 [size =\"39244800\"]\n  1 -> 5 [size =\"39244800\"]\n  1 -> 6 [size =\"39244800\"]\n  2 [size=\"58566656\", alpha=\"0.04\", expect_size=\"29283328\"] \n  2 -> 5 [size =\"29283328\"]\n  2 -> 6 [size =\"29283328\"]\n  3 [size=\"81147904\", alpha=\"0.08\", expect_size=\"40573952\"] \n  3 -> 5 [size =\"40573952\"]\n  4 [size=\"44828672\", alpha=\"0.10\", expect_size=\"22414336\"] \n  4 -> 7 [size =\"22414336\"]\n  4 -> 8 [size =\"22414336\"]\n  5 [size=\"84738048\", alpha=\"0.09\", expect_size=\"42369024\"] \n  5 -> 8 [size =\"42369024\"]\n  6 [size=\"25872384\", alpha=\"0.12\", expect_size=\"12936192\"] \n  6 -> 7 [size =\"12936192\"]\n  6 -> 8 [size =\"12936192\"]\n  7 [size=\"14475264\", alpha=\"0.11\", expect_size=\"7237632\"] \n  7 -> 10 [size =\"7237632\"]\n  8 [size=\"29648896\", alpha=\"0.18\", expect_size=\"14824448\"] \n  8 -> 9 [size =\"14824448\"]\n  8 -> 10 [size =\"14824448\"]\n  9 [size=\"46442496\", alpha=\"0.16\", expect_size=\"23221248\"] \n  9 -> 11 [size =\"23221248\"]\n  9 -> 12 [size =\"23221248\"]\n  9 -> 13 [size =\"23221248\"]\n  10 [size=\"69349376\", alpha=\"0.13\", expect_size=\"34674688\"] \n  10 -> 11 [size =\"34674688\"]\n  10 -> 12 [size =\"34674688\"]\n  11 [size=\"21014528\", alpha=\"0.10\", expect_size=\"10507264\"] \n  11 -> 14 [size =\"10507264\"]\n  11 -> 15 [size =\"10507264\"]\n  12 [size=\"19421184\", alpha=\"0.02\", expect_size=\"9710592\"] \n  12 -> 14 [size =\"9710592\"]\n  12 -> 15 [size =\"9710592\"]\n  13 [size=\"36653056\", alpha=\"0.05\", expect_size=\"18326528\"] \n  13 -> 14 [size =\"18326528\"]\n  13 -> 15 [size =\"18326528\"]\n  14 [size=\"76597248\", alpha=\"0.06\", expect_size=\"38298624\"] \n  15 [size=\"30771200\", alpha=\"0.16\", expect_size=\"15385600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46474240\", alpha=\"0.01\", expect_size=\"18589696\"] \n  1 -> 2 [size =\"18589696\"]\n  2 [size=\"33543680\", alpha=\"0.02\", expect_size=\"13417472\"] \n  2 -> 3 [size =\"13417472\"]\n  3 [size=\"104171520\", alpha=\"0.07\", expect_size=\"41668608\"] \n  3 -> 4 [size =\"41668608\"]\n  4 [size=\"72394240\", alpha=\"0.19\", expect_size=\"28957696\"] \n  4 -> 5 [size =\"28957696\"]\n  5 [size=\"83417600\", alpha=\"0.00\", expect_size=\"33367040\"] \n  5 -> 6 [size =\"33367040\"]\n  6 [size=\"85798400\", alpha=\"0.05\", expect_size=\"34319360\"] \n  6 -> 7 [size =\"34319360\"]\n  7 [size=\"68044800\", alpha=\"0.20\", expect_size=\"27217920\"] \n  7 -> 8 [size =\"27217920\"]\n  8 [size=\"59957760\", alpha=\"0.08\", expect_size=\"23983104\"] \n  8 -> 9 [size =\"23983104\"]\n  9 [size=\"130337280\", alpha=\"0.11\", expect_size=\"52134912\"] \n  9 -> 10 [size =\"52134912\"]\n  10 [size=\"72494080\", alpha=\"0.06\", expect_size=\"28997632\"] \n  10 -> 11 [size =\"28997632\"]\n  11 [size=\"120924160\", alpha=\"0.04\", expect_size=\"48369664\"] \n  11 -> 12 [size =\"48369664\"]\n  12 [size=\"126581760\", alpha=\"0.01\", expect_size=\"50632704\"] \n  12 -> 13 [size =\"50632704\"]\n  13 [size=\"20515840\", alpha=\"0.12\", expect_size=\"8206336\"] \n  13 -> 14 [size =\"8206336\"]\n  14 [size=\"62284800\", alpha=\"0.01\", expect_size=\"24913920\"] \n  14 -> 15 [size =\"24913920\"]\n  15 [size=\"57356800\", alpha=\"0.20\", expect_size=\"22942720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125905920\", alpha=\"0.12\", expect_size=\"50362368\"] \n  1 -> 15 [size =\"50362368\"]\n  2 [size=\"116285440\", alpha=\"0.10\", expect_size=\"46514176\"] \n  2 -> 15 [size =\"46514176\"]\n  3 [size=\"37806080\", alpha=\"0.13\", expect_size=\"15122432\"] \n  3 -> 11 [size =\"15122432\"]\n  3 -> 15 [size =\"15122432\"]\n  4 [size=\"52674560\", alpha=\"0.17\", expect_size=\"21069824\"] \n  4 -> 12 [size =\"21069824\"]\n  4 -> 15 [size =\"21069824\"]\n  5 [size=\"59824640\", alpha=\"0.06\", expect_size=\"23929856\"] \n  5 -> 11 [size =\"23929856\"]\n  6 [size=\"81423360\", alpha=\"0.03\", expect_size=\"32569344\"] \n  6 -> 11 [size =\"32569344\"]\n  7 [size=\"101419520\", alpha=\"0.09\", expect_size=\"40567808\"] \n  7 -> 11 [size =\"40567808\"]\n  7 -> 12 [size =\"40567808\"]\n  8 [size=\"24893440\", alpha=\"0.19\", expect_size=\"9957376\"] \n  8 -> 12 [size =\"9957376\"]\n  8 -> 13 [size =\"9957376\"]\n  8 -> 15 [size =\"9957376\"]\n  9 [size=\"117160960\", alpha=\"0.12\", expect_size=\"46864384\"] \n  10 [size=\"31080960\", alpha=\"0.02\", expect_size=\"12432384\"] \n  10 -> 11 [size =\"12432384\"]\n  10 -> 12 [size =\"12432384\"]\n  10 -> 13 [size =\"12432384\"]\n  10 -> 14 [size =\"12432384\"]\n  10 -> 15 [size =\"12432384\"]\n  11 [size=\"40284160\", alpha=\"0.19\", expect_size=\"16113664\"] \n  12 [size=\"109204480\", alpha=\"0.12\", expect_size=\"43681792\"] \n  13 [size=\"52052480\", alpha=\"0.09\", expect_size=\"20820992\"] \n  14 [size=\"129792000\", alpha=\"0.06\", expect_size=\"51916800\"] \n  15 [size=\"113553920\", alpha=\"0.11\", expect_size=\"45421568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16119808\", alpha=\"0.19\", expect_size=\"8059904\"] \n  1 -> 15 [size =\"8059904\"]\n  2 [size=\"40134656\", alpha=\"0.12\", expect_size=\"20067328\"] \n  2 -> 14 [size =\"20067328\"]\n  2 -> 15 [size =\"20067328\"]\n  3 [size=\"40478720\", alpha=\"0.04\", expect_size=\"20239360\"] \n  3 -> 13 [size =\"20239360\"]\n  4 [size=\"72415232\", alpha=\"0.09\", expect_size=\"36207616\"] \n  4 -> 15 [size =\"36207616\"]\n  5 [size=\"45940736\", alpha=\"0.13\", expect_size=\"22970368\"] \n  5 -> 14 [size =\"22970368\"]\n  6 [size=\"20248576\", alpha=\"0.09\", expect_size=\"10124288\"] \n  6 -> 14 [size =\"10124288\"]\n  7 [size=\"94324736\", alpha=\"0.17\", expect_size=\"47162368\"] \n  7 -> 15 [size =\"47162368\"]\n  8 [size=\"42215424\", alpha=\"0.08\", expect_size=\"21107712\"] \n  8 -> 13 [size =\"21107712\"]\n  8 -> 14 [size =\"21107712\"]\n  9 [size=\"85469184\", alpha=\"0.06\", expect_size=\"42734592\"] \n  9 -> 13 [size =\"42734592\"]\n  9 -> 14 [size =\"42734592\"]\n  10 [size=\"36120576\", alpha=\"0.19\", expect_size=\"18060288\"] \n  10 -> 14 [size =\"18060288\"]\n  10 -> 15 [size =\"18060288\"]\n  11 [size=\"74108928\", alpha=\"0.19\", expect_size=\"37054464\"] \n  11 -> 14 [size =\"37054464\"]\n  12 [size=\"69423104\", alpha=\"0.07\", expect_size=\"34711552\"] \n  12 -> 13 [size =\"34711552\"]\n  12 -> 14 [size =\"34711552\"]\n  13 [size=\"31981568\", alpha=\"0.08\", expect_size=\"15990784\"] \n  14 [size=\"48510976\", alpha=\"0.11\", expect_size=\"24255488\"] \n  15 [size=\"92168192\", alpha=\"0.13\", expect_size=\"46084096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92357973\", alpha=\"0.05\", expect_size=\"27707392\"] \n  1 -> 4 [size =\"27707392\"]\n  2 [size=\"140045653\", alpha=\"0.13\", expect_size=\"42013696\"] \n  2 -> 4 [size =\"42013696\"]\n  3 [size=\"154320213\", alpha=\"0.07\", expect_size=\"46296064\"] \n  3 -> 4 [size =\"46296064\"]\n  4 [size=\"19401387\", alpha=\"0.08\", expect_size=\"5820416\"] \n  4 -> 5 [size =\"5820416\"]\n  4 -> 6 [size =\"5820416\"]\n  4 -> 7 [size =\"5820416\"]\n  4 -> 8 [size =\"5820416\"]\n  5 [size=\"23811413\", alpha=\"0.12\", expect_size=\"7143424\"] \n  5 -> 10 [size =\"7143424\"]\n  6 [size=\"162017280\", alpha=\"0.19\", expect_size=\"48605184\"] \n  6 -> 10 [size =\"48605184\"]\n  7 [size=\"116630187\", alpha=\"0.19\", expect_size=\"34989056\"] \n  7 -> 10 [size =\"34989056\"]\n  8 [size=\"94354773\", alpha=\"0.05\", expect_size=\"28306432\"] \n  8 -> 9 [size =\"28306432\"]\n  8 -> 10 [size =\"28306432\"]\n  9 [size=\"167936000\", alpha=\"0.07\", expect_size=\"50380800\"] \n  9 -> 12 [size =\"50380800\"]\n  9 -> 13 [size =\"50380800\"]\n  10 [size=\"163584000\", alpha=\"0.03\", expect_size=\"49075200\"] \n  10 -> 11 [size =\"49075200\"]\n  10 -> 13 [size =\"49075200\"]\n  11 [size=\"82117973\", alpha=\"0.02\", expect_size=\"24635392\"] \n  11 -> 15 [size =\"24635392\"]\n  12 [size=\"119947947\", alpha=\"0.17\", expect_size=\"35984384\"] \n  12 -> 14 [size =\"35984384\"]\n  12 -> 15 [size =\"35984384\"]\n  13 [size=\"64754347\", alpha=\"0.09\", expect_size=\"19426304\"] \n  13 -> 14 [size =\"19426304\"]\n  13 -> 15 [size =\"19426304\"]\n  14 [size=\"121180160\", alpha=\"0.13\", expect_size=\"36354048\"] \n  15 [size=\"27702613\", alpha=\"0.12\", expect_size=\"8310784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59264000\", alpha=\"0.14\", expect_size=\"23705600\"] \n  1 -> 2 [size =\"23705600\"]\n  2 [size=\"27274240\", alpha=\"0.17\", expect_size=\"10909696\"] \n  2 -> 3 [size =\"10909696\"]\n  3 [size=\"52247040\", alpha=\"0.12\", expect_size=\"20898816\"] \n  3 -> 4 [size =\"20898816\"]\n  4 [size=\"109754880\", alpha=\"0.01\", expect_size=\"43901952\"] \n  4 -> 5 [size =\"43901952\"]\n  5 [size=\"80980480\", alpha=\"0.04\", expect_size=\"32392192\"] \n  5 -> 6 [size =\"32392192\"]\n  6 [size=\"108034560\", alpha=\"0.11\", expect_size=\"43213824\"] \n  6 -> 7 [size =\"43213824\"]\n  7 [size=\"93905920\", alpha=\"0.12\", expect_size=\"37562368\"] \n  7 -> 8 [size =\"37562368\"]\n  8 [size=\"51975680\", alpha=\"0.20\", expect_size=\"20790272\"] \n  8 -> 9 [size =\"20790272\"]\n  9 [size=\"70520320\", alpha=\"0.15\", expect_size=\"28208128\"] \n  9 -> 10 [size =\"28208128\"]\n  10 [size=\"27491840\", alpha=\"0.10\", expect_size=\"10996736\"] \n  10 -> 11 [size =\"10996736\"]\n  11 [size=\"66928640\", alpha=\"0.05\", expect_size=\"26771456\"] \n  11 -> 12 [size =\"26771456\"]\n  12 [size=\"31505920\", alpha=\"0.04\", expect_size=\"12602368\"] \n  12 -> 13 [size =\"12602368\"]\n  13 [size=\"130022400\", alpha=\"0.06\", expect_size=\"52008960\"] \n  13 -> 14 [size =\"52008960\"]\n  14 [size=\"80220160\", alpha=\"0.02\", expect_size=\"32088064\"] \n  14 -> 15 [size =\"32088064\"]\n  15 [size=\"88568320\", alpha=\"0.19\", expect_size=\"35427328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84199424\", alpha=\"0.17\", expect_size=\"42099712\"] \n  1 -> 12 [size =\"42099712\"]\n  1 -> 13 [size =\"42099712\"]\n  2 [size=\"85852160\", alpha=\"0.15\", expect_size=\"42926080\"] \n  2 -> 12 [size =\"42926080\"]\n  2 -> 13 [size =\"42926080\"]\n  2 -> 15 [size =\"42926080\"]\n  3 [size=\"63674368\", alpha=\"0.05\", expect_size=\"31837184\"] \n  3 -> 14 [size =\"31837184\"]\n  4 [size=\"20760576\", alpha=\"0.08\", expect_size=\"10380288\"] \n  4 -> 13 [size =\"10380288\"]\n  4 -> 14 [size =\"10380288\"]\n  5 [size=\"38299648\", alpha=\"0.05\", expect_size=\"19149824\"] \n  5 -> 14 [size =\"19149824\"]\n  5 -> 15 [size =\"19149824\"]\n  6 [size=\"55334912\", alpha=\"0.18\", expect_size=\"27667456\"] \n  6 -> 14 [size =\"27667456\"]\n  6 -> 15 [size =\"27667456\"]\n  7 [size=\"60643328\", alpha=\"0.14\", expect_size=\"30321664\"] \n  7 -> 13 [size =\"30321664\"]\n  8 [size=\"73367552\", alpha=\"0.04\", expect_size=\"36683776\"] \n  8 -> 15 [size =\"36683776\"]\n  9 [size=\"26548224\", alpha=\"0.12\", expect_size=\"13274112\"] \n  9 -> 12 [size =\"13274112\"]\n  10 [size=\"18145280\", alpha=\"0.10\", expect_size=\"9072640\"] \n  10 -> 12 [size =\"9072640\"]\n  10 -> 13 [size =\"9072640\"]\n  10 -> 14 [size =\"9072640\"]\n  11 [size=\"76357632\", alpha=\"0.18\", expect_size=\"38178816\"] \n  12 [size=\"62445568\", alpha=\"0.11\", expect_size=\"31222784\"] \n  13 [size=\"39196672\", alpha=\"0.16\", expect_size=\"19598336\"] \n  14 [size=\"63227904\", alpha=\"0.01\", expect_size=\"31613952\"] \n  15 [size=\"103038976\", alpha=\"0.16\", expect_size=\"51519488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94722048\", alpha=\"0.15\", expect_size=\"47361024\"] \n  1 -> 15 [size =\"47361024\"]\n  2 [size=\"33859584\", alpha=\"0.07\", expect_size=\"16929792\"] \n  3 [size=\"27801600\", alpha=\"0.16\", expect_size=\"13900800\"] \n  3 -> 12 [size =\"13900800\"]\n  3 -> 15 [size =\"13900800\"]\n  4 [size=\"99508224\", alpha=\"0.11\", expect_size=\"49754112\"] \n  4 -> 14 [size =\"49754112\"]\n  5 [size=\"37914624\", alpha=\"0.03\", expect_size=\"18957312\"] \n  5 -> 13 [size =\"18957312\"]\n  6 [size=\"59459584\", alpha=\"0.15\", expect_size=\"29729792\"] \n  6 -> 12 [size =\"29729792\"]\n  6 -> 14 [size =\"29729792\"]\n  6 -> 15 [size =\"29729792\"]\n  7 [size=\"76009472\", alpha=\"0.12\", expect_size=\"38004736\"] \n  7 -> 12 [size =\"38004736\"]\n  8 [size=\"51079168\", alpha=\"0.03\", expect_size=\"25539584\"] \n  8 -> 12 [size =\"25539584\"]\n  8 -> 14 [size =\"25539584\"]\n  8 -> 15 [size =\"25539584\"]\n  9 [size=\"21379072\", alpha=\"0.17\", expect_size=\"10689536\"] \n  10 [size=\"80267264\", alpha=\"0.09\", expect_size=\"40133632\"] \n  10 -> 14 [size =\"40133632\"]\n  11 [size=\"28248064\", alpha=\"0.09\", expect_size=\"14124032\"] \n  11 -> 14 [size =\"14124032\"]\n  12 [size=\"96903168\", alpha=\"0.07\", expect_size=\"48451584\"] \n  13 [size=\"35733504\", alpha=\"0.06\", expect_size=\"17866752\"] \n  14 [size=\"15278080\", alpha=\"0.17\", expect_size=\"7639040\"] \n  15 [size=\"65941504\", alpha=\"0.01\", expect_size=\"32970752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173745493\", alpha=\"0.12\", expect_size=\"52123648\"] \n  2 [size=\"46441813\", alpha=\"0.09\", expect_size=\"13932544\"] \n  3 [size=\"141472427\", alpha=\"0.06\", expect_size=\"42441728\"] \n  3 -> 15 [size =\"42441728\"]\n  4 [size=\"136994133\", alpha=\"0.03\", expect_size=\"41098240\"] \n  5 [size=\"137847467\", alpha=\"0.10\", expect_size=\"41354240\"] \n  6 [size=\"23357440\", alpha=\"0.11\", expect_size=\"7007232\"] \n  7 [size=\"147572053\", alpha=\"0.10\", expect_size=\"44271616\"] \n  8 [size=\"42373120\", alpha=\"0.12\", expect_size=\"12711936\"] \n  9 [size=\"20357120\", alpha=\"0.10\", expect_size=\"6107136\"] \n  10 [size=\"150763520\", alpha=\"0.07\", expect_size=\"45229056\"] \n  11 [size=\"114797227\", alpha=\"0.20\", expect_size=\"34439168\"] \n  12 [size=\"50507093\", alpha=\"0.01\", expect_size=\"15152128\"] \n  13 [size=\"119210667\", alpha=\"0.14\", expect_size=\"35763200\"] \n  14 [size=\"165789013\", alpha=\"0.01\", expect_size=\"49736704\"] \n  15 [size=\"29453653\", alpha=\"0.03\", expect_size=\"8836096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16033792\", alpha=\"0.19\", expect_size=\"8016896\"] \n  1 -> 6 [size =\"8016896\"]\n  1 -> 8 [size =\"8016896\"]\n  1 -> 9 [size =\"8016896\"]\n  1 -> 12 [size =\"8016896\"]\n  2 [size=\"24182784\", alpha=\"0.12\", expect_size=\"12091392\"] \n  2 -> 7 [size =\"12091392\"]\n  2 -> 8 [size =\"12091392\"]\n  2 -> 11 [size =\"12091392\"]\n  3 [size=\"73879552\", alpha=\"0.05\", expect_size=\"36939776\"] \n  3 -> 9 [size =\"36939776\"]\n  3 -> 10 [size =\"36939776\"]\n  4 [size=\"50688000\", alpha=\"0.18\", expect_size=\"25344000\"] \n  4 -> 6 [size =\"25344000\"]\n  5 [size=\"74883072\", alpha=\"0.11\", expect_size=\"37441536\"] \n  5 -> 11 [size =\"37441536\"]\n  5 -> 12 [size =\"37441536\"]\n  6 [size=\"84150272\", alpha=\"0.04\", expect_size=\"42075136\"] \n  6 -> 13 [size =\"42075136\"]\n  6 -> 14 [size =\"42075136\"]\n  7 [size=\"37169152\", alpha=\"0.15\", expect_size=\"18584576\"] \n  7 -> 15 [size =\"18584576\"]\n  8 [size=\"39036928\", alpha=\"0.18\", expect_size=\"19518464\"] \n  8 -> 13 [size =\"19518464\"]\n  9 [size=\"14931968\", alpha=\"0.10\", expect_size=\"7465984\"] \n  9 -> 13 [size =\"7465984\"]\n  9 -> 15 [size =\"7465984\"]\n  10 [size=\"78858240\", alpha=\"0.04\", expect_size=\"39429120\"] \n  10 -> 13 [size =\"39429120\"]\n  10 -> 15 [size =\"39429120\"]\n  11 [size=\"39098368\", alpha=\"0.09\", expect_size=\"19549184\"] \n  12 [size=\"32595968\", alpha=\"0.12\", expect_size=\"16297984\"] \n  13 [size=\"88461312\", alpha=\"0.16\", expect_size=\"44230656\"] \n  14 [size=\"17590272\", alpha=\"0.14\", expect_size=\"8795136\"] \n  15 [size=\"101984256\", alpha=\"0.20\", expect_size=\"50992128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39038976\", alpha=\"0.08\", expect_size=\"19519488\"] \n  1 -> 2 [size =\"19519488\"]\n  1 -> 3 [size =\"19519488\"]\n  1 -> 4 [size =\"19519488\"]\n  2 [size=\"84881408\", alpha=\"0.12\", expect_size=\"42440704\"] \n  3 [size=\"74401792\", alpha=\"0.05\", expect_size=\"37200896\"] \n  3 -> 5 [size =\"37200896\"]\n  3 -> 6 [size =\"37200896\"]\n  4 [size=\"12156928\", alpha=\"0.11\", expect_size=\"6078464\"] \n  4 -> 5 [size =\"6078464\"]\n  4 -> 6 [size =\"6078464\"]\n  4 -> 7 [size =\"6078464\"]\n  5 [size=\"43255808\", alpha=\"0.20\", expect_size=\"21627904\"] \n  6 [size=\"15785984\", alpha=\"0.08\", expect_size=\"7892992\"] \n  6 -> 8 [size =\"7892992\"]\n  6 -> 9 [size =\"7892992\"]\n  6 -> 10 [size =\"7892992\"]\n  7 [size=\"45369344\", alpha=\"0.09\", expect_size=\"22684672\"] \n  7 -> 9 [size =\"22684672\"]\n  7 -> 10 [size =\"22684672\"]\n  8 [size=\"40310784\", alpha=\"0.20\", expect_size=\"20155392\"] \n  8 -> 11 [size =\"20155392\"]\n  8 -> 13 [size =\"20155392\"]\n  9 [size=\"88500224\", alpha=\"0.12\", expect_size=\"44250112\"] \n  9 -> 12 [size =\"44250112\"]\n  10 [size=\"50726912\", alpha=\"0.11\", expect_size=\"25363456\"] \n  10 -> 12 [size =\"25363456\"]\n  10 -> 13 [size =\"25363456\"]\n  10 -> 14 [size =\"25363456\"]\n  11 [size=\"62705664\", alpha=\"0.01\", expect_size=\"31352832\"] \n  11 -> 15 [size =\"31352832\"]\n  12 [size=\"100526080\", alpha=\"0.08\", expect_size=\"50263040\"] \n  12 -> 15 [size =\"50263040\"]\n  13 [size=\"61407232\", alpha=\"0.03\", expect_size=\"30703616\"] \n  13 -> 15 [size =\"30703616\"]\n  14 [size=\"85075968\", alpha=\"0.10\", expect_size=\"42537984\"] \n  15 [size=\"44382208\", alpha=\"0.08\", expect_size=\"22191104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58585088\", alpha=\"0.07\", expect_size=\"29292544\"] \n  1 -> 3 [size =\"29292544\"]\n  2 [size=\"48883712\", alpha=\"0.07\", expect_size=\"24441856\"] \n  2 -> 3 [size =\"24441856\"]\n  2 -> 4 [size =\"24441856\"]\n  3 [size=\"79499264\", alpha=\"0.05\", expect_size=\"39749632\"] \n  3 -> 5 [size =\"39749632\"]\n  3 -> 6 [size =\"39749632\"]\n  4 [size=\"19382272\", alpha=\"0.04\", expect_size=\"9691136\"] \n  4 -> 7 [size =\"9691136\"]\n  5 [size=\"21504000\", alpha=\"0.06\", expect_size=\"10752000\"] \n  5 -> 8 [size =\"10752000\"]\n  5 -> 9 [size =\"10752000\"]\n  6 [size=\"71213056\", alpha=\"0.11\", expect_size=\"35606528\"] \n  7 [size=\"44347392\", alpha=\"0.18\", expect_size=\"22173696\"] \n  7 -> 9 [size =\"22173696\"]\n  8 [size=\"67598336\", alpha=\"0.03\", expect_size=\"33799168\"] \n  8 -> 11 [size =\"33799168\"]\n  8 -> 12 [size =\"33799168\"]\n  9 [size=\"13322240\", alpha=\"0.12\", expect_size=\"6661120\"] \n  9 -> 10 [size =\"6661120\"]\n  9 -> 11 [size =\"6661120\"]\n  10 [size=\"91557888\", alpha=\"0.12\", expect_size=\"45778944\"] \n  10 -> 13 [size =\"45778944\"]\n  11 [size=\"55595008\", alpha=\"0.01\", expect_size=\"27797504\"] \n  12 [size=\"87357440\", alpha=\"0.11\", expect_size=\"43678720\"] \n  13 [size=\"25397248\", alpha=\"0.20\", expect_size=\"12698624\"] \n  13 -> 14 [size =\"12698624\"]\n  14 [size=\"47601664\", alpha=\"0.14\", expect_size=\"23800832\"] \n  14 -> 15 [size =\"23800832\"]\n  15 [size=\"68040704\", alpha=\"0.18\", expect_size=\"34020352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57456640\", alpha=\"0.12\", expect_size=\"17236992\"] \n  2 [size=\"49066667\", alpha=\"0.05\", expect_size=\"14720000\"] \n  3 [size=\"129706667\", alpha=\"0.03\", expect_size=\"38912000\"] \n  4 [size=\"152900267\", alpha=\"0.06\", expect_size=\"45870080\"] \n  5 [size=\"88832000\", alpha=\"0.17\", expect_size=\"26649600\"] \n  6 [size=\"34249387\", alpha=\"0.13\", expect_size=\"10274816\"] \n  7 [size=\"25371307\", alpha=\"0.16\", expect_size=\"7611392\"] \n  8 [size=\"133024427\", alpha=\"0.06\", expect_size=\"39907328\"] \n  9 [size=\"96617813\", alpha=\"0.02\", expect_size=\"28985344\"] \n  10 [size=\"30105600\", alpha=\"0.06\", expect_size=\"9031680\"] \n  11 [size=\"27982507\", alpha=\"0.02\", expect_size=\"8394752\"] \n  12 [size=\"120367787\", alpha=\"0.13\", expect_size=\"36110336\"] \n  13 [size=\"160034133\", alpha=\"0.15\", expect_size=\"48010240\"] \n  14 [size=\"23753387\", alpha=\"0.00\", expect_size=\"7126016\"] \n  15 [size=\"69396480\", alpha=\"0.04\", expect_size=\"20818944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121820160\", alpha=\"0.11\", expect_size=\"48728064\"] \n  2 [size=\"126238720\", alpha=\"0.06\", expect_size=\"50495488\"] \n  3 [size=\"41692160\", alpha=\"0.18\", expect_size=\"16676864\"] \n  3 -> 14 [size =\"16676864\"]\n  4 [size=\"21035520\", alpha=\"0.01\", expect_size=\"8414208\"] \n  5 [size=\"97198080\", alpha=\"0.09\", expect_size=\"38879232\"] \n  6 [size=\"92057600\", alpha=\"0.08\", expect_size=\"36823040\"] \n  7 [size=\"63526400\", alpha=\"0.13\", expect_size=\"25410560\"] \n  8 [size=\"31155200\", alpha=\"0.09\", expect_size=\"12462080\"] \n  8 -> 14 [size =\"12462080\"]\n  8 -> 15 [size =\"12462080\"]\n  9 [size=\"98905600\", alpha=\"0.05\", expect_size=\"39562240\"] \n  9 -> 14 [size =\"39562240\"]\n  10 [size=\"118704640\", alpha=\"0.20\", expect_size=\"47481856\"] \n  11 [size=\"128517120\", alpha=\"0.14\", expect_size=\"51406848\"] \n  11 -> 14 [size =\"51406848\"]\n  12 [size=\"78041600\", alpha=\"0.04\", expect_size=\"31216640\"] \n  12 -> 14 [size =\"31216640\"]\n  13 [size=\"114278400\", alpha=\"0.10\", expect_size=\"45711360\"] \n  13 -> 14 [size =\"45711360\"]\n  14 [size=\"100592640\", alpha=\"0.12\", expect_size=\"40237056\"] \n  15 [size=\"107878400\", alpha=\"0.07\", expect_size=\"43151360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74936320\", alpha=\"0.08\", expect_size=\"22480896\"] \n  2 [size=\"126518613\", alpha=\"0.17\", expect_size=\"37955584\"] \n  2 -> 6 [size =\"37955584\"]\n  2 -> 7 [size =\"37955584\"]\n  2 -> 8 [size =\"37955584\"]\n  2 -> 10 [size =\"37955584\"]\n  3 [size=\"91187200\", alpha=\"0.08\", expect_size=\"27356160\"] \n  3 -> 6 [size =\"27356160\"]\n  3 -> 7 [size =\"27356160\"]\n  4 [size=\"79008427\", alpha=\"0.04\", expect_size=\"23702528\"] \n  4 -> 7 [size =\"23702528\"]\n  4 -> 9 [size =\"23702528\"]\n  5 [size=\"48752640\", alpha=\"0.04\", expect_size=\"14625792\"] \n  5 -> 6 [size =\"14625792\"]\n  5 -> 9 [size =\"14625792\"]\n  6 [size=\"158740480\", alpha=\"0.01\", expect_size=\"47622144\"] \n  6 -> 15 [size =\"47622144\"]\n  7 [size=\"95542613\", alpha=\"0.18\", expect_size=\"28662784\"] \n  8 [size=\"51148800\", alpha=\"0.03\", expect_size=\"15344640\"] \n  8 -> 13 [size =\"15344640\"]\n  8 -> 14 [size =\"15344640\"]\n  9 [size=\"78697813\", alpha=\"0.00\", expect_size=\"23609344\"] \n  9 -> 11 [size =\"23609344\"]\n  9 -> 12 [size =\"23609344\"]\n  9 -> 15 [size =\"23609344\"]\n  10 [size=\"59282773\", alpha=\"0.08\", expect_size=\"17784832\"] \n  10 -> 12 [size =\"17784832\"]\n  10 -> 15 [size =\"17784832\"]\n  11 [size=\"141509973\", alpha=\"0.17\", expect_size=\"42452992\"] \n  12 [size=\"46489600\", alpha=\"0.05\", expect_size=\"13946880\"] \n  13 [size=\"22524587\", alpha=\"0.03\", expect_size=\"6757376\"] \n  14 [size=\"82978133\", alpha=\"0.16\", expect_size=\"24893440\"] \n  15 [size=\"112588800\", alpha=\"0.13\", expect_size=\"33776640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22421504\", alpha=\"0.16\", expect_size=\"11210752\"] \n  1 -> 14 [size =\"11210752\"]\n  1 -> 15 [size =\"11210752\"]\n  1 -> 15 [size =\"11210752\"]\n  2 [size=\"89329664\", alpha=\"0.10\", expect_size=\"44664832\"] \n  2 -> 14 [size =\"44664832\"]\n  2 -> 15 [size =\"44664832\"]\n  3 [size=\"53520384\", alpha=\"0.08\", expect_size=\"26760192\"] \n  4 [size=\"77004800\", alpha=\"0.15\", expect_size=\"38502400\"] \n  5 [size=\"73465856\", alpha=\"0.04\", expect_size=\"36732928\"] \n  5 -> 15 [size =\"36732928\"]\n  6 [size=\"30500864\", alpha=\"0.00\", expect_size=\"15250432\"] \n  6 -> 12 [size =\"15250432\"]\n  7 [size=\"29339648\", alpha=\"0.19\", expect_size=\"14669824\"] \n  7 -> 12 [size =\"14669824\"]\n  7 -> 13 [size =\"14669824\"]\n  7 -> 14 [size =\"14669824\"]\n  7 -> 15 [size =\"14669824\"]\n  8 [size=\"21536768\", alpha=\"0.07\", expect_size=\"10768384\"] \n  8 -> 13 [size =\"10768384\"]\n  9 [size=\"61642752\", alpha=\"0.02\", expect_size=\"30821376\"] \n  9 -> 12 [size =\"30821376\"]\n  10 [size=\"69142528\", alpha=\"0.15\", expect_size=\"34571264\"] \n  10 -> 12 [size =\"34571264\"]\n  11 [size=\"90845184\", alpha=\"0.15\", expect_size=\"45422592\"] \n  11 -> 13 [size =\"45422592\"]\n  11 -> 14 [size =\"45422592\"]\n  11 -> 15 [size =\"45422592\"]\n  12 [size=\"72136704\", alpha=\"0.03\", expect_size=\"36068352\"] \n  13 [size=\"23033856\", alpha=\"0.06\", expect_size=\"11516928\"] \n  14 [size=\"62001152\", alpha=\"0.00\", expect_size=\"31000576\"] \n  15 [size=\"39198720\", alpha=\"0.12\", expect_size=\"19599360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16939520\", alpha=\"0.17\", expect_size=\"6775808\"] \n  1 -> 3 [size =\"6775808\"]\n  2 [size=\"31390720\", alpha=\"0.11\", expect_size=\"12556288\"] \n  2 -> 3 [size =\"12556288\"]\n  2 -> 4 [size =\"12556288\"]\n  3 [size=\"101071360\", alpha=\"0.17\", expect_size=\"40428544\"] \n  3 -> 5 [size =\"40428544\"]\n  4 [size=\"54428160\", alpha=\"0.17\", expect_size=\"21771264\"] \n  5 [size=\"56261120\", alpha=\"0.07\", expect_size=\"22504448\"] \n  5 -> 6 [size =\"22504448\"]\n  5 -> 7 [size =\"22504448\"]\n  6 [size=\"127400960\", alpha=\"0.16\", expect_size=\"50960384\"] \n  6 -> 8 [size =\"50960384\"]\n  6 -> 9 [size =\"50960384\"]\n  7 [size=\"102443520\", alpha=\"0.13\", expect_size=\"40977408\"] \n  7 -> 9 [size =\"40977408\"]\n  8 [size=\"50181120\", alpha=\"0.06\", expect_size=\"20072448\"] \n  9 [size=\"129295360\", alpha=\"0.09\", expect_size=\"51718144\"] \n  9 -> 10 [size =\"51718144\"]\n  10 [size=\"19663360\", alpha=\"0.15\", expect_size=\"7865344\"] \n  10 -> 11 [size =\"7865344\"]\n  11 [size=\"70714880\", alpha=\"0.15\", expect_size=\"28285952\"] \n  11 -> 12 [size =\"28285952\"]\n  12 [size=\"54543360\", alpha=\"0.06\", expect_size=\"21817344\"] \n  12 -> 13 [size =\"21817344\"]\n  13 [size=\"119825920\", alpha=\"0.19\", expect_size=\"47930368\"] \n  13 -> 14 [size =\"47930368\"]\n  14 [size=\"100661760\", alpha=\"0.03\", expect_size=\"40264704\"] \n  14 -> 15 [size =\"40264704\"]\n  15 [size=\"82759680\", alpha=\"0.16\", expect_size=\"33103872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143110827\", alpha=\"0.13\", expect_size=\"42933248\"] \n  2 [size=\"89292800\", alpha=\"0.15\", expect_size=\"26787840\"] \n  2 -> 3 [size =\"26787840\"]\n  3 [size=\"105229653\", alpha=\"0.10\", expect_size=\"31568896\"] \n  3 -> 4 [size =\"31568896\"]\n  4 [size=\"146889387\", alpha=\"0.12\", expect_size=\"44066816\"] \n  4 -> 5 [size =\"44066816\"]\n  5 [size=\"110807040\", alpha=\"0.18\", expect_size=\"33242112\"] \n  5 -> 6 [size =\"33242112\"]\n  6 [size=\"106284373\", alpha=\"0.18\", expect_size=\"31885312\"] \n  6 -> 7 [size =\"31885312\"]\n  6 -> 8 [size =\"31885312\"]\n  7 [size=\"169263787\", alpha=\"0.05\", expect_size=\"50779136\"] \n  8 [size=\"65334613\", alpha=\"0.06\", expect_size=\"19600384\"] \n  8 -> 9 [size =\"19600384\"]\n  9 [size=\"21521067\", alpha=\"0.09\", expect_size=\"6456320\"] \n  9 -> 10 [size =\"6456320\"]\n  10 [size=\"50025813\", alpha=\"0.09\", expect_size=\"15007744\"] \n  10 -> 11 [size =\"15007744\"]\n  11 [size=\"106079573\", alpha=\"0.18\", expect_size=\"31823872\"] \n  11 -> 12 [size =\"31823872\"]\n  12 [size=\"49216853\", alpha=\"0.06\", expect_size=\"14765056\"] \n  12 -> 13 [size =\"14765056\"]\n  12 -> 14 [size =\"14765056\"]\n  13 [size=\"171072853\", alpha=\"0.09\", expect_size=\"51321856\"] \n  13 -> 15 [size =\"51321856\"]\n  14 [size=\"91777707\", alpha=\"0.15\", expect_size=\"27533312\"] \n  15 [size=\"30327467\", alpha=\"0.10\", expect_size=\"9098240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108847787\", alpha=\"0.06\", expect_size=\"32654336\"] \n  1 -> 3 [size =\"32654336\"]\n  1 -> 4 [size =\"32654336\"]\n  1 -> 5 [size =\"32654336\"]\n  2 [size=\"119019520\", alpha=\"0.14\", expect_size=\"35705856\"] \n  2 -> 3 [size =\"35705856\"]\n  2 -> 4 [size =\"35705856\"]\n  2 -> 5 [size =\"35705856\"]\n  3 [size=\"112063147\", alpha=\"0.12\", expect_size=\"33618944\"] \n  3 -> 6 [size =\"33618944\"]\n  4 [size=\"155224747\", alpha=\"0.06\", expect_size=\"46567424\"] \n  4 -> 7 [size =\"46567424\"]\n  4 -> 8 [size =\"46567424\"]\n  5 [size=\"87343787\", alpha=\"0.03\", expect_size=\"26203136\"] \n  5 -> 7 [size =\"26203136\"]\n  6 [size=\"163904853\", alpha=\"0.17\", expect_size=\"49171456\"] \n  6 -> 9 [size =\"49171456\"]\n  6 -> 11 [size =\"49171456\"]\n  7 [size=\"104304640\", alpha=\"0.16\", expect_size=\"31291392\"] \n  7 -> 9 [size =\"31291392\"]\n  7 -> 10 [size =\"31291392\"]\n  7 -> 11 [size =\"31291392\"]\n  8 [size=\"89002667\", alpha=\"0.10\", expect_size=\"26700800\"] \n  8 -> 9 [size =\"26700800\"]\n  8 -> 11 [size =\"26700800\"]\n  9 [size=\"126900907\", alpha=\"0.04\", expect_size=\"38070272\"] \n  9 -> 12 [size =\"38070272\"]\n  9 -> 13 [size =\"38070272\"]\n  9 -> 14 [size =\"38070272\"]\n  10 [size=\"118063787\", alpha=\"0.03\", expect_size=\"35419136\"] \n  10 -> 12 [size =\"35419136\"]\n  10 -> 14 [size =\"35419136\"]\n  10 -> 14 [size =\"35419136\"]\n  11 [size=\"64921600\", alpha=\"0.18\", expect_size=\"19476480\"] \n  11 -> 12 [size =\"19476480\"]\n  12 [size=\"110697813\", alpha=\"0.17\", expect_size=\"33209344\"] \n  13 [size=\"60166827\", alpha=\"0.18\", expect_size=\"18050048\"] \n  13 -> 15 [size =\"18050048\"]\n  14 [size=\"157668693\", alpha=\"0.14\", expect_size=\"47300608\"] \n  15 [size=\"47745707\", alpha=\"0.14\", expect_size=\"14323712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14618624\", alpha=\"0.05\", expect_size=\"7309312\"] \n  1 -> 12 [size =\"7309312\"]\n  1 -> 13 [size =\"7309312\"]\n  2 [size=\"66885632\", alpha=\"0.07\", expect_size=\"33442816\"] \n  2 -> 11 [size =\"33442816\"]\n  2 -> 12 [size =\"33442816\"]\n  3 [size=\"47757312\", alpha=\"0.20\", expect_size=\"23878656\"] \n  3 -> 13 [size =\"23878656\"]\n  4 [size=\"104323072\", alpha=\"0.03\", expect_size=\"52161536\"] \n  4 -> 12 [size =\"52161536\"]\n  5 [size=\"19324928\", alpha=\"0.03\", expect_size=\"9662464\"] \n  6 [size=\"40560640\", alpha=\"0.16\", expect_size=\"20280320\"] \n  6 -> 11 [size =\"20280320\"]\n  6 -> 13 [size =\"20280320\"]\n  7 [size=\"83146752\", alpha=\"0.01\", expect_size=\"41573376\"] \n  7 -> 13 [size =\"41573376\"]\n  8 [size=\"17643520\", alpha=\"0.14\", expect_size=\"8821760\"] \n  8 -> 12 [size =\"8821760\"]\n  8 -> 15 [size =\"8821760\"]\n  9 [size=\"30130176\", alpha=\"0.17\", expect_size=\"15065088\"] \n  9 -> 11 [size =\"15065088\"]\n  9 -> 13 [size =\"15065088\"]\n  9 -> 14 [size =\"15065088\"]\n  10 [size=\"68798464\", alpha=\"0.07\", expect_size=\"34399232\"] \n  11 [size=\"24604672\", alpha=\"0.18\", expect_size=\"12302336\"] \n  12 [size=\"50120704\", alpha=\"0.04\", expect_size=\"25060352\"] \n  13 [size=\"81772544\", alpha=\"0.10\", expect_size=\"40886272\"] \n  14 [size=\"80177152\", alpha=\"0.18\", expect_size=\"40088576\"] \n  15 [size=\"95811584\", alpha=\"0.03\", expect_size=\"47905792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56204800\", alpha=\"0.14\", expect_size=\"22481920\"] \n  1 -> 4 [size =\"22481920\"]\n  1 -> 5 [size =\"22481920\"]\n  2 [size=\"112061440\", alpha=\"0.01\", expect_size=\"44824576\"] \n  3 [size=\"98731520\", alpha=\"0.17\", expect_size=\"39492608\"] \n  3 -> 5 [size =\"39492608\"]\n  4 [size=\"24691200\", alpha=\"0.02\", expect_size=\"9876480\"] \n  4 -> 6 [size =\"9876480\"]\n  4 -> 7 [size =\"9876480\"]\n  5 [size=\"32309760\", alpha=\"0.07\", expect_size=\"12923904\"] \n  5 -> 7 [size =\"12923904\"]\n  6 [size=\"117614080\", alpha=\"0.10\", expect_size=\"47045632\"] \n  7 [size=\"43194880\", alpha=\"0.06\", expect_size=\"17277952\"] \n  7 -> 8 [size =\"17277952\"]\n  7 -> 9 [size =\"17277952\"]\n  8 [size=\"122772480\", alpha=\"0.13\", expect_size=\"49108992\"] \n  8 -> 10 [size =\"49108992\"]\n  8 -> 11 [size =\"49108992\"]\n  8 -> 12 [size =\"49108992\"]\n  9 [size=\"65694720\", alpha=\"0.13\", expect_size=\"26277888\"] \n  10 [size=\"87050240\", alpha=\"0.05\", expect_size=\"34820096\"] \n  10 -> 13 [size =\"34820096\"]\n  10 -> 14 [size =\"34820096\"]\n  10 -> 15 [size =\"34820096\"]\n  11 [size=\"71610880\", alpha=\"0.09\", expect_size=\"28644352\"] \n  11 -> 14 [size =\"28644352\"]\n  12 [size=\"36037120\", alpha=\"0.14\", expect_size=\"14414848\"] \n  12 -> 15 [size =\"14414848\"]\n  13 [size=\"43978240\", alpha=\"0.13\", expect_size=\"17591296\"] \n  14 [size=\"28730880\", alpha=\"0.17\", expect_size=\"11492352\"] \n  15 [size=\"38394880\", alpha=\"0.05\", expect_size=\"15357952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30932992\", alpha=\"0.07\", expect_size=\"15466496\"] \n  1 -> 2 [size =\"15466496\"]\n  2 [size=\"31227904\", alpha=\"0.09\", expect_size=\"15613952\"] \n  2 -> 3 [size =\"15613952\"]\n  3 [size=\"24733696\", alpha=\"0.07\", expect_size=\"12366848\"] \n  3 -> 4 [size =\"12366848\"]\n  4 [size=\"102395904\", alpha=\"0.13\", expect_size=\"51197952\"] \n  4 -> 5 [size =\"51197952\"]\n  5 [size=\"33196032\", alpha=\"0.05\", expect_size=\"16598016\"] \n  5 -> 6 [size =\"16598016\"]\n  6 [size=\"73156608\", alpha=\"0.03\", expect_size=\"36578304\"] \n  6 -> 7 [size =\"36578304\"]\n  7 [size=\"87764992\", alpha=\"0.16\", expect_size=\"43882496\"] \n  7 -> 8 [size =\"43882496\"]\n  8 [size=\"92100608\", alpha=\"0.04\", expect_size=\"46050304\"] \n  8 -> 9 [size =\"46050304\"]\n  9 [size=\"93396992\", alpha=\"0.05\", expect_size=\"46698496\"] \n  9 -> 10 [size =\"46698496\"]\n  10 [size=\"29913088\", alpha=\"0.10\", expect_size=\"14956544\"] \n  10 -> 11 [size =\"14956544\"]\n  11 [size=\"38191104\", alpha=\"0.10\", expect_size=\"19095552\"] \n  11 -> 12 [size =\"19095552\"]\n  12 [size=\"72173568\", alpha=\"0.13\", expect_size=\"36086784\"] \n  12 -> 13 [size =\"36086784\"]\n  13 [size=\"18376704\", alpha=\"0.03\", expect_size=\"9188352\"] \n  13 -> 14 [size =\"9188352\"]\n  14 [size=\"50118656\", alpha=\"0.06\", expect_size=\"25059328\"] \n  14 -> 15 [size =\"25059328\"]\n  15 [size=\"17047552\", alpha=\"0.07\", expect_size=\"8523776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82202624\", alpha=\"0.10\", expect_size=\"41101312\"] \n  1 -> 12 [size =\"41101312\"]\n  1 -> 13 [size =\"41101312\"]\n  1 -> 14 [size =\"41101312\"]\n  2 [size=\"56483840\", alpha=\"0.00\", expect_size=\"28241920\"] \n  2 -> 13 [size =\"28241920\"]\n  2 -> 14 [size =\"28241920\"]\n  2 -> 15 [size =\"28241920\"]\n  3 [size=\"69421056\", alpha=\"0.11\", expect_size=\"34710528\"] \n  3 -> 15 [size =\"34710528\"]\n  4 [size=\"24727552\", alpha=\"0.18\", expect_size=\"12363776\"] \n  4 -> 15 [size =\"12363776\"]\n  5 [size=\"64350208\", alpha=\"0.18\", expect_size=\"32175104\"] \n  5 -> 12 [size =\"32175104\"]\n  5 -> 14 [size =\"32175104\"]\n  5 -> 15 [size =\"32175104\"]\n  6 [size=\"94339072\", alpha=\"0.09\", expect_size=\"47169536\"] \n  6 -> 13 [size =\"47169536\"]\n  6 -> 14 [size =\"47169536\"]\n  6 -> 15 [size =\"47169536\"]\n  7 [size=\"17539072\", alpha=\"0.18\", expect_size=\"8769536\"] \n  7 -> 14 [size =\"8769536\"]\n  7 -> 15 [size =\"8769536\"]\n  7 -> 15 [size =\"8769536\"]\n  8 [size=\"65112064\", alpha=\"0.03\", expect_size=\"32556032\"] \n  9 [size=\"17059840\", alpha=\"0.05\", expect_size=\"8529920\"] \n  10 [size=\"95473664\", alpha=\"0.04\", expect_size=\"47736832\"] \n  10 -> 13 [size =\"47736832\"]\n  11 [size=\"19030016\", alpha=\"0.01\", expect_size=\"9515008\"] \n  11 -> 12 [size =\"9515008\"]\n  11 -> 14 [size =\"9515008\"]\n  12 [size=\"67528704\", alpha=\"0.06\", expect_size=\"33764352\"] \n  13 [size=\"69853184\", alpha=\"0.09\", expect_size=\"34926592\"] \n  14 [size=\"25708544\", alpha=\"0.09\", expect_size=\"12854272\"] \n  15 [size=\"15007744\", alpha=\"0.02\", expect_size=\"7503872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115361280\", alpha=\"0.08\", expect_size=\"46144512\"] \n  1 -> 14 [size =\"46144512\"]\n  2 [size=\"122913280\", alpha=\"0.12\", expect_size=\"49165312\"] \n  2 -> 15 [size =\"49165312\"]\n  3 [size=\"41121280\", alpha=\"0.01\", expect_size=\"16448512\"] \n  3 -> 14 [size =\"16448512\"]\n  3 -> 15 [size =\"16448512\"]\n  4 [size=\"128343040\", alpha=\"0.10\", expect_size=\"51337216\"] \n  5 [size=\"19742720\", alpha=\"0.15\", expect_size=\"7897088\"] \n  6 [size=\"62579200\", alpha=\"0.16\", expect_size=\"25031680\"] \n  6 -> 14 [size =\"25031680\"]\n  7 [size=\"98242560\", alpha=\"0.06\", expect_size=\"39297024\"] \n  8 [size=\"51220480\", alpha=\"0.12\", expect_size=\"20488192\"] \n  8 -> 13 [size =\"20488192\"]\n  9 [size=\"129986560\", alpha=\"0.19\", expect_size=\"51994624\"] \n  9 -> 14 [size =\"51994624\"]\n  10 [size=\"75532800\", alpha=\"0.12\", expect_size=\"30213120\"] \n  11 [size=\"77322240\", alpha=\"0.01\", expect_size=\"30928896\"] \n  12 [size=\"122224640\", alpha=\"0.01\", expect_size=\"48889856\"] \n  12 -> 14 [size =\"48889856\"]\n  13 [size=\"76569600\", alpha=\"0.07\", expect_size=\"30627840\"] \n  14 [size=\"82347520\", alpha=\"0.04\", expect_size=\"32939008\"] \n  15 [size=\"21885440\", alpha=\"0.05\", expect_size=\"8754176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127956480\", alpha=\"0.05\", expect_size=\"51182592\"] \n  2 [size=\"57272320\", alpha=\"0.04\", expect_size=\"22908928\"] \n  2 -> 14 [size =\"22908928\"]\n  3 [size=\"113477120\", alpha=\"0.01\", expect_size=\"45390848\"] \n  3 -> 14 [size =\"45390848\"]\n  4 [size=\"48929280\", alpha=\"0.02\", expect_size=\"19571712\"] \n  4 -> 14 [size =\"19571712\"]\n  5 [size=\"18201600\", alpha=\"0.02\", expect_size=\"7280640\"] \n  5 -> 14 [size =\"7280640\"]\n  6 [size=\"66485760\", alpha=\"0.02\", expect_size=\"26594304\"] \n  6 -> 14 [size =\"26594304\"]\n  7 [size=\"115973120\", alpha=\"0.04\", expect_size=\"46389248\"] \n  8 [size=\"21608960\", alpha=\"0.11\", expect_size=\"8643584\"] \n  8 -> 14 [size =\"8643584\"]\n  8 -> 15 [size =\"8643584\"]\n  9 [size=\"62461440\", alpha=\"0.02\", expect_size=\"24984576\"] \n  9 -> 15 [size =\"24984576\"]\n  10 [size=\"32739840\", alpha=\"0.20\", expect_size=\"13095936\"] \n  10 -> 15 [size =\"13095936\"]\n  11 [size=\"73205760\", alpha=\"0.02\", expect_size=\"29282304\"] \n  11 -> 14 [size =\"29282304\"]\n  12 [size=\"102773760\", alpha=\"0.06\", expect_size=\"41109504\"] \n  13 [size=\"126973440\", alpha=\"0.06\", expect_size=\"50789376\"] \n  14 [size=\"17303040\", alpha=\"0.19\", expect_size=\"6921216\"] \n  15 [size=\"28349440\", alpha=\"0.08\", expect_size=\"11339776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73730048\", alpha=\"0.03\", expect_size=\"36865024\"] \n  1 -> 3 [size =\"36865024\"]\n  2 [size=\"50804736\", alpha=\"0.11\", expect_size=\"25402368\"] \n  2 -> 3 [size =\"25402368\"]\n  3 [size=\"95750144\", alpha=\"0.20\", expect_size=\"47875072\"] \n  3 -> 4 [size =\"47875072\"]\n  3 -> 5 [size =\"47875072\"]\n  4 [size=\"83877888\", alpha=\"0.00\", expect_size=\"41938944\"] \n  4 -> 6 [size =\"41938944\"]\n  5 [size=\"67082240\", alpha=\"0.06\", expect_size=\"33541120\"] \n  6 [size=\"88692736\", alpha=\"0.17\", expect_size=\"44346368\"] \n  6 -> 7 [size =\"44346368\"]\n  7 [size=\"88459264\", alpha=\"0.06\", expect_size=\"44229632\"] \n  7 -> 8 [size =\"44229632\"]\n  7 -> 9 [size =\"44229632\"]\n  8 [size=\"68800512\", alpha=\"0.09\", expect_size=\"34400256\"] \n  8 -> 10 [size =\"34400256\"]\n  9 [size=\"29206528\", alpha=\"0.12\", expect_size=\"14603264\"] \n  9 -> 10 [size =\"14603264\"]\n  9 -> 11 [size =\"14603264\"]\n  10 [size=\"12005376\", alpha=\"0.08\", expect_size=\"6002688\"] \n  10 -> 12 [size =\"6002688\"]\n  10 -> 13 [size =\"6002688\"]\n  11 [size=\"102952960\", alpha=\"0.10\", expect_size=\"51476480\"] \n  11 -> 13 [size =\"51476480\"]\n  12 [size=\"20809728\", alpha=\"0.14\", expect_size=\"10404864\"] \n  12 -> 14 [size =\"10404864\"]\n  12 -> 15 [size =\"10404864\"]\n  13 [size=\"70711296\", alpha=\"0.13\", expect_size=\"35355648\"] \n  13 -> 14 [size =\"35355648\"]\n  13 -> 15 [size =\"35355648\"]\n  14 [size=\"69177344\", alpha=\"0.02\", expect_size=\"34588672\"] \n  15 [size=\"71055360\", alpha=\"0.14\", expect_size=\"35527680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45605547\", alpha=\"0.20\", expect_size=\"13681664\"] \n  2 [size=\"135639040\", alpha=\"0.18\", expect_size=\"40691712\"] \n  3 [size=\"106366293\", alpha=\"0.02\", expect_size=\"31909888\"] \n  4 [size=\"87016107\", alpha=\"0.16\", expect_size=\"26104832\"] \n  4 -> 15 [size =\"26104832\"]\n  5 [size=\"174571520\", alpha=\"0.06\", expect_size=\"52371456\"] \n  6 [size=\"174254080\", alpha=\"0.05\", expect_size=\"52276224\"] \n  7 [size=\"119135573\", alpha=\"0.10\", expect_size=\"35740672\"] \n  7 -> 15 [size =\"35740672\"]\n  8 [size=\"102219093\", alpha=\"0.19\", expect_size=\"30665728\"] \n  8 -> 15 [size =\"30665728\"]\n  9 [size=\"54688427\", alpha=\"0.09\", expect_size=\"16406528\"] \n  10 [size=\"158617600\", alpha=\"0.05\", expect_size=\"47585280\"] \n  11 [size=\"157231787\", alpha=\"0.14\", expect_size=\"47169536\"] \n  12 [size=\"154398720\", alpha=\"0.16\", expect_size=\"46319616\"] \n  13 [size=\"135485440\", alpha=\"0.13\", expect_size=\"40645632\"] \n  14 [size=\"151497387\", alpha=\"0.17\", expect_size=\"45449216\"] \n  15 [size=\"119002453\", alpha=\"0.13\", expect_size=\"35700736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32030720\", alpha=\"0.10\", expect_size=\"16015360\"] \n  1 -> 2 [size =\"16015360\"]\n  2 [size=\"60891136\", alpha=\"0.06\", expect_size=\"30445568\"] \n  2 -> 3 [size =\"30445568\"]\n  3 [size=\"38498304\", alpha=\"0.16\", expect_size=\"19249152\"] \n  3 -> 4 [size =\"19249152\"]\n  4 [size=\"78737408\", alpha=\"0.13\", expect_size=\"39368704\"] \n  4 -> 5 [size =\"39368704\"]\n  5 [size=\"65165312\", alpha=\"0.00\", expect_size=\"32582656\"] \n  5 -> 6 [size =\"32582656\"]\n  6 [size=\"62119936\", alpha=\"0.17\", expect_size=\"31059968\"] \n  6 -> 7 [size =\"31059968\"]\n  7 [size=\"41705472\", alpha=\"0.14\", expect_size=\"20852736\"] \n  7 -> 8 [size =\"20852736\"]\n  8 [size=\"12660736\", alpha=\"0.03\", expect_size=\"6330368\"] \n  8 -> 9 [size =\"6330368\"]\n  9 [size=\"76378112\", alpha=\"0.16\", expect_size=\"38189056\"] \n  9 -> 10 [size =\"38189056\"]\n  10 [size=\"54167552\", alpha=\"0.13\", expect_size=\"27083776\"] \n  10 -> 11 [size =\"27083776\"]\n  11 [size=\"99497984\", alpha=\"0.07\", expect_size=\"49748992\"] \n  11 -> 12 [size =\"49748992\"]\n  12 [size=\"54501376\", alpha=\"0.09\", expect_size=\"27250688\"] \n  12 -> 13 [size =\"27250688\"]\n  13 [size=\"81721344\", alpha=\"0.17\", expect_size=\"40860672\"] \n  13 -> 14 [size =\"40860672\"]\n  14 [size=\"60755968\", alpha=\"0.15\", expect_size=\"30377984\"] \n  14 -> 15 [size =\"30377984\"]\n  15 [size=\"27940864\", alpha=\"0.08\", expect_size=\"13970432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65232896\", alpha=\"0.16\", expect_size=\"32616448\"] \n  1 -> 6 [size =\"32616448\"]\n  2 [size=\"26585088\", alpha=\"0.02\", expect_size=\"13292544\"] \n  2 -> 4 [size =\"13292544\"]\n  3 [size=\"88436736\", alpha=\"0.19\", expect_size=\"44218368\"] \n  3 -> 4 [size =\"44218368\"]\n  3 -> 5 [size =\"44218368\"]\n  3 -> 6 [size =\"44218368\"]\n  4 [size=\"71874560\", alpha=\"0.01\", expect_size=\"35937280\"] \n  4 -> 7 [size =\"35937280\"]\n  4 -> 8 [size =\"35937280\"]\n  5 [size=\"50536448\", alpha=\"0.19\", expect_size=\"25268224\"] \n  5 -> 7 [size =\"25268224\"]\n  5 -> 8 [size =\"25268224\"]\n  6 [size=\"96391168\", alpha=\"0.01\", expect_size=\"48195584\"] \n  6 -> 7 [size =\"48195584\"]\n  7 [size=\"28309504\", alpha=\"0.02\", expect_size=\"14154752\"] \n  7 -> 9 [size =\"14154752\"]\n  7 -> 10 [size =\"14154752\"]\n  8 [size=\"102848512\", alpha=\"0.03\", expect_size=\"51424256\"] \n  8 -> 10 [size =\"51424256\"]\n  8 -> 11 [size =\"51424256\"]\n  9 [size=\"37836800\", alpha=\"0.16\", expect_size=\"18918400\"] \n  9 -> 12 [size =\"18918400\"]\n  9 -> 13 [size =\"18918400\"]\n  10 [size=\"74813440\", alpha=\"0.01\", expect_size=\"37406720\"] \n  10 -> 13 [size =\"37406720\"]\n  11 [size=\"87787520\", alpha=\"0.12\", expect_size=\"43893760\"] \n  11 -> 13 [size =\"43893760\"]\n  12 [size=\"68028416\", alpha=\"0.05\", expect_size=\"34014208\"] \n  12 -> 15 [size =\"34014208\"]\n  13 [size=\"76898304\", alpha=\"0.15\", expect_size=\"38449152\"] \n  13 -> 14 [size =\"38449152\"]\n  14 [size=\"74102784\", alpha=\"0.16\", expect_size=\"37051392\"] \n  15 [size=\"79769600\", alpha=\"0.04\", expect_size=\"39884800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31823360\", alpha=\"0.02\", expect_size=\"12729344\"] \n  1 -> 2 [size =\"12729344\"]\n  2 [size=\"25354240\", alpha=\"0.01\", expect_size=\"10141696\"] \n  2 -> 3 [size =\"10141696\"]\n  2 -> 4 [size =\"10141696\"]\n  3 [size=\"61475840\", alpha=\"0.06\", expect_size=\"24590336\"] \n  3 -> 5 [size =\"24590336\"]\n  4 [size=\"38999040\", alpha=\"0.00\", expect_size=\"15599616\"] \n  4 -> 5 [size =\"15599616\"]\n  5 [size=\"38256640\", alpha=\"0.13\", expect_size=\"15302656\"] \n  5 -> 6 [size =\"15302656\"]\n  6 [size=\"51694080\", alpha=\"0.17\", expect_size=\"20677632\"] \n  6 -> 7 [size =\"20677632\"]\n  6 -> 8 [size =\"20677632\"]\n  7 [size=\"15971840\", alpha=\"0.10\", expect_size=\"6388736\"] \n  8 [size=\"69071360\", alpha=\"0.10\", expect_size=\"27628544\"] \n  8 -> 9 [size =\"27628544\"]\n  9 [size=\"107471360\", alpha=\"0.02\", expect_size=\"42988544\"] \n  9 -> 10 [size =\"42988544\"]\n  9 -> 11 [size =\"42988544\"]\n  10 [size=\"24742400\", alpha=\"0.20\", expect_size=\"9896960\"] \n  11 [size=\"123363840\", alpha=\"0.08\", expect_size=\"49345536\"] \n  11 -> 12 [size =\"49345536\"]\n  11 -> 13 [size =\"49345536\"]\n  12 [size=\"20052480\", alpha=\"0.07\", expect_size=\"8020992\"] \n  12 -> 14 [size =\"8020992\"]\n  12 -> 15 [size =\"8020992\"]\n  13 [size=\"27699200\", alpha=\"0.09\", expect_size=\"11079680\"] \n  13 -> 15 [size =\"11079680\"]\n  14 [size=\"63728640\", alpha=\"0.01\", expect_size=\"25491456\"] \n  15 [size=\"65241600\", alpha=\"0.16\", expect_size=\"26096640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93996373\", alpha=\"0.12\", expect_size=\"28198912\"] \n  1 -> 2 [size =\"28198912\"]\n  2 [size=\"126709760\", alpha=\"0.05\", expect_size=\"38012928\"] \n  2 -> 3 [size =\"38012928\"]\n  3 [size=\"36997120\", alpha=\"0.00\", expect_size=\"11099136\"] \n  3 -> 4 [size =\"11099136\"]\n  4 [size=\"112428373\", alpha=\"0.08\", expect_size=\"33728512\"] \n  4 -> 5 [size =\"33728512\"]\n  5 [size=\"57818453\", alpha=\"0.18\", expect_size=\"17345536\"] \n  5 -> 6 [size =\"17345536\"]\n  6 [size=\"56613547\", alpha=\"0.14\", expect_size=\"16984064\"] \n  6 -> 7 [size =\"16984064\"]\n  7 [size=\"151169707\", alpha=\"0.13\", expect_size=\"45350912\"] \n  7 -> 8 [size =\"45350912\"]\n  8 [size=\"75547307\", alpha=\"0.18\", expect_size=\"22664192\"] \n  8 -> 9 [size =\"22664192\"]\n  9 [size=\"155869867\", alpha=\"0.02\", expect_size=\"46760960\"] \n  9 -> 10 [size =\"46760960\"]\n  10 [size=\"36201813\", alpha=\"0.06\", expect_size=\"10860544\"] \n  10 -> 11 [size =\"10860544\"]\n  11 [size=\"25791147\", alpha=\"0.11\", expect_size=\"7737344\"] \n  11 -> 12 [size =\"7737344\"]\n  12 [size=\"122272427\", alpha=\"0.02\", expect_size=\"36681728\"] \n  12 -> 13 [size =\"36681728\"]\n  13 [size=\"158149973\", alpha=\"0.15\", expect_size=\"47444992\"] \n  13 -> 14 [size =\"47444992\"]\n  14 [size=\"159873707\", alpha=\"0.10\", expect_size=\"47962112\"] \n  14 -> 15 [size =\"47962112\"]\n  15 [size=\"68386133\", alpha=\"0.05\", expect_size=\"20515840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43781120\", alpha=\"0.01\", expect_size=\"17512448\"] \n  2 [size=\"22126080\", alpha=\"0.10\", expect_size=\"8850432\"] \n  2 -> 3 [size =\"8850432\"]\n  3 [size=\"16883200\", alpha=\"0.11\", expect_size=\"6753280\"] \n  3 -> 4 [size =\"6753280\"]\n  3 -> 5 [size =\"6753280\"]\n  4 [size=\"40847360\", alpha=\"0.20\", expect_size=\"16338944\"] \n  4 -> 6 [size =\"16338944\"]\n  5 [size=\"58844160\", alpha=\"0.14\", expect_size=\"23537664\"] \n  6 [size=\"117255680\", alpha=\"0.06\", expect_size=\"46902272\"] \n  6 -> 7 [size =\"46902272\"]\n  7 [size=\"52938240\", alpha=\"0.14\", expect_size=\"21175296\"] \n  7 -> 8 [size =\"21175296\"]\n  7 -> 9 [size =\"21175296\"]\n  8 [size=\"33689600\", alpha=\"0.09\", expect_size=\"13475840\"] \n  8 -> 10 [size =\"13475840\"]\n  9 [size=\"73551360\", alpha=\"0.06\", expect_size=\"29420544\"] \n  9 -> 10 [size =\"29420544\"]\n  9 -> 11 [size =\"29420544\"]\n  10 [size=\"24903680\", alpha=\"0.12\", expect_size=\"9961472\"] \n  10 -> 12 [size =\"9961472\"]\n  11 [size=\"84879360\", alpha=\"0.20\", expect_size=\"33951744\"] \n  11 -> 12 [size =\"33951744\"]\n  12 [size=\"88268800\", alpha=\"0.17\", expect_size=\"35307520\"] \n  12 -> 13 [size =\"35307520\"]\n  13 [size=\"31385600\", alpha=\"0.09\", expect_size=\"12554240\"] \n  13 -> 14 [size =\"12554240\"]\n  13 -> 15 [size =\"12554240\"]\n  14 [size=\"96227840\", alpha=\"0.18\", expect_size=\"38491136\"] \n  15 [size=\"95633920\", alpha=\"0.13\", expect_size=\"38253568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20510720\", alpha=\"0.06\", expect_size=\"8204288\"] \n  1 -> 3 [size =\"8204288\"]\n  2 [size=\"62256640\", alpha=\"0.13\", expect_size=\"24902656\"] \n  2 -> 3 [size =\"24902656\"]\n  3 [size=\"29783040\", alpha=\"0.17\", expect_size=\"11913216\"] \n  3 -> 4 [size =\"11913216\"]\n  4 [size=\"56985600\", alpha=\"0.00\", expect_size=\"22794240\"] \n  4 -> 5 [size =\"22794240\"]\n  5 [size=\"42831360\", alpha=\"0.15\", expect_size=\"17132544\"] \n  5 -> 6 [size =\"17132544\"]\n  5 -> 7 [size =\"17132544\"]\n  6 [size=\"111741440\", alpha=\"0.18\", expect_size=\"44696576\"] \n  6 -> 8 [size =\"44696576\"]\n  6 -> 9 [size =\"44696576\"]\n  7 [size=\"76497920\", alpha=\"0.16\", expect_size=\"30599168\"] \n  7 -> 8 [size =\"30599168\"]\n  7 -> 9 [size =\"30599168\"]\n  8 [size=\"90833920\", alpha=\"0.18\", expect_size=\"36333568\"] \n  8 -> 10 [size =\"36333568\"]\n  8 -> 11 [size =\"36333568\"]\n  9 [size=\"69798400\", alpha=\"0.13\", expect_size=\"27919360\"] \n  9 -> 10 [size =\"27919360\"]\n  9 -> 11 [size =\"27919360\"]\n  10 [size=\"108633600\", alpha=\"0.16\", expect_size=\"43453440\"] \n  10 -> 12 [size =\"43453440\"]\n  11 [size=\"13731840\", alpha=\"0.01\", expect_size=\"5492736\"] \n  11 -> 12 [size =\"5492736\"]\n  12 [size=\"50301440\", alpha=\"0.09\", expect_size=\"20120576\"] \n  12 -> 13 [size =\"20120576\"]\n  13 [size=\"125296640\", alpha=\"0.00\", expect_size=\"50118656\"] \n  13 -> 14 [size =\"50118656\"]\n  14 [size=\"109547520\", alpha=\"0.15\", expect_size=\"43819008\"] \n  14 -> 15 [size =\"43819008\"]\n  15 [size=\"112445440\", alpha=\"0.06\", expect_size=\"44978176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145462613\", alpha=\"0.04\", expect_size=\"43638784\"] \n  1 -> 12 [size =\"43638784\"]\n  1 -> 13 [size =\"43638784\"]\n  1 -> 14 [size =\"43638784\"]\n  1 -> 15 [size =\"43638784\"]\n  2 [size=\"81165653\", alpha=\"0.08\", expect_size=\"24349696\"] \n  2 -> 12 [size =\"24349696\"]\n  2 -> 14 [size =\"24349696\"]\n  3 [size=\"133181440\", alpha=\"0.04\", expect_size=\"39954432\"] \n  3 -> 12 [size =\"39954432\"]\n  4 [size=\"157528747\", alpha=\"0.08\", expect_size=\"47258624\"] \n  4 -> 13 [size =\"47258624\"]\n  4 -> 14 [size =\"47258624\"]\n  5 [size=\"81121280\", alpha=\"0.10\", expect_size=\"24336384\"] \n  5 -> 14 [size =\"24336384\"]\n  5 -> 15 [size =\"24336384\"]\n  6 [size=\"45124267\", alpha=\"0.14\", expect_size=\"13537280\"] \n  6 -> 12 [size =\"13537280\"]\n  6 -> 14 [size =\"13537280\"]\n  6 -> 15 [size =\"13537280\"]\n  7 [size=\"21220693\", alpha=\"0.09\", expect_size=\"6366208\"] \n  7 -> 12 [size =\"6366208\"]\n  7 -> 14 [size =\"6366208\"]\n  7 -> 15 [size =\"6366208\"]\n  8 [size=\"96556373\", alpha=\"0.04\", expect_size=\"28966912\"] \n  8 -> 12 [size =\"28966912\"]\n  8 -> 14 [size =\"28966912\"]\n  8 -> 15 [size =\"28966912\"]\n  9 [size=\"137936213\", alpha=\"0.12\", expect_size=\"41380864\"] \n  9 -> 14 [size =\"41380864\"]\n  9 -> 15 [size =\"41380864\"]\n  10 [size=\"123982507\", alpha=\"0.04\", expect_size=\"37194752\"] \n  10 -> 13 [size =\"37194752\"]\n  11 [size=\"116080640\", alpha=\"0.19\", expect_size=\"34824192\"] \n  11 -> 12 [size =\"34824192\"]\n  12 [size=\"146292053\", alpha=\"0.18\", expect_size=\"43887616\"] \n  13 [size=\"55360853\", alpha=\"0.05\", expect_size=\"16608256\"] \n  14 [size=\"89545387\", alpha=\"0.16\", expect_size=\"26863616\"] \n  15 [size=\"155091627\", alpha=\"0.02\", expect_size=\"46527488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121489920\", alpha=\"0.11\", expect_size=\"48595968\"] \n  2 [size=\"112931840\", alpha=\"0.00\", expect_size=\"45172736\"] \n  2 -> 15 [size =\"45172736\"]\n  3 [size=\"53944320\", alpha=\"0.05\", expect_size=\"21577728\"] \n  4 [size=\"97292800\", alpha=\"0.00\", expect_size=\"38917120\"] \n  5 [size=\"117762560\", alpha=\"0.17\", expect_size=\"47105024\"] \n  5 -> 15 [size =\"47105024\"]\n  6 [size=\"96094720\", alpha=\"0.10\", expect_size=\"38437888\"] \n  7 [size=\"91860480\", alpha=\"0.17\", expect_size=\"36744192\"] \n  8 [size=\"100874240\", alpha=\"0.13\", expect_size=\"40349696\"] \n  9 [size=\"93834240\", alpha=\"0.15\", expect_size=\"37533696\"] \n  10 [size=\"107921920\", alpha=\"0.12\", expect_size=\"43168768\"] \n  11 [size=\"22517760\", alpha=\"0.10\", expect_size=\"9007104\"] \n  11 -> 15 [size =\"9007104\"]\n  12 [size=\"88619520\", alpha=\"0.13\", expect_size=\"35447808\"] \n  12 -> 15 [size =\"35447808\"]\n  13 [size=\"90073600\", alpha=\"0.14\", expect_size=\"36029440\"] \n  14 [size=\"118016000\", alpha=\"0.01\", expect_size=\"47206400\"] \n  15 [size=\"120517120\", alpha=\"0.06\", expect_size=\"48206848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43655680\", alpha=\"0.03\", expect_size=\"17462272\"] \n  1 -> 3 [size =\"17462272\"]\n  1 -> 4 [size =\"17462272\"]\n  2 [size=\"87262720\", alpha=\"0.03\", expect_size=\"34905088\"] \n  2 -> 3 [size =\"34905088\"]\n  3 [size=\"40824320\", alpha=\"0.15\", expect_size=\"16329728\"] \n  4 [size=\"113254400\", alpha=\"0.01\", expect_size=\"45301760\"] \n  4 -> 5 [size =\"45301760\"]\n  4 -> 6 [size =\"45301760\"]\n  5 [size=\"102174720\", alpha=\"0.19\", expect_size=\"40869888\"] \n  5 -> 7 [size =\"40869888\"]\n  6 [size=\"88240640\", alpha=\"0.17\", expect_size=\"35296256\"] \n  6 -> 8 [size =\"35296256\"]\n  7 [size=\"127516160\", alpha=\"0.14\", expect_size=\"51006464\"] \n  8 [size=\"72985600\", alpha=\"0.04\", expect_size=\"29194240\"] \n  8 -> 9 [size =\"29194240\"]\n  9 [size=\"17666560\", alpha=\"0.10\", expect_size=\"7066624\"] \n  9 -> 10 [size =\"7066624\"]\n  10 [size=\"66508800\", alpha=\"0.09\", expect_size=\"26603520\"] \n  10 -> 11 [size =\"26603520\"]\n  11 [size=\"88762880\", alpha=\"0.20\", expect_size=\"35505152\"] \n  11 -> 12 [size =\"35505152\"]\n  12 [size=\"105761280\", alpha=\"0.17\", expect_size=\"42304512\"] \n  12 -> 13 [size =\"42304512\"]\n  12 -> 14 [size =\"42304512\"]\n  13 [size=\"125693440\", alpha=\"0.02\", expect_size=\"50277376\"] \n  14 [size=\"95836160\", alpha=\"0.18\", expect_size=\"38334464\"] \n  14 -> 15 [size =\"38334464\"]\n  15 [size=\"103621120\", alpha=\"0.08\", expect_size=\"41448448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124712960\", alpha=\"0.17\", expect_size=\"49885184\"] \n  1 -> 2 [size =\"49885184\"]\n  2 [size=\"82408960\", alpha=\"0.05\", expect_size=\"32963584\"] \n  2 -> 3 [size =\"32963584\"]\n  3 [size=\"87718400\", alpha=\"0.09\", expect_size=\"35087360\"] \n  3 -> 4 [size =\"35087360\"]\n  4 [size=\"92551680\", alpha=\"0.05\", expect_size=\"37020672\"] \n  4 -> 5 [size =\"37020672\"]\n  4 -> 6 [size =\"37020672\"]\n  5 [size=\"61240320\", alpha=\"0.00\", expect_size=\"24496128\"] \n  5 -> 7 [size =\"24496128\"]\n  6 [size=\"39211520\", alpha=\"0.11\", expect_size=\"15684608\"] \n  6 -> 7 [size =\"15684608\"]\n  7 [size=\"121679360\", alpha=\"0.20\", expect_size=\"48671744\"] \n  7 -> 8 [size =\"48671744\"]\n  7 -> 9 [size =\"48671744\"]\n  8 [size=\"18946560\", alpha=\"0.16\", expect_size=\"7578624\"] \n  9 [size=\"45982720\", alpha=\"0.20\", expect_size=\"18393088\"] \n  9 -> 10 [size =\"18393088\"]\n  10 [size=\"53972480\", alpha=\"0.15\", expect_size=\"21588992\"] \n  10 -> 11 [size =\"21588992\"]\n  11 [size=\"37552640\", alpha=\"0.10\", expect_size=\"15021056\"] \n  11 -> 12 [size =\"15021056\"]\n  12 [size=\"20224000\", alpha=\"0.12\", expect_size=\"8089600\"] \n  12 -> 13 [size =\"8089600\"]\n  12 -> 14 [size =\"8089600\"]\n  13 [size=\"50908160\", alpha=\"0.15\", expect_size=\"20363264\"] \n  13 -> 15 [size =\"20363264\"]\n  14 [size=\"104778240\", alpha=\"0.08\", expect_size=\"41911296\"] \n  14 -> 15 [size =\"41911296\"]\n  15 [size=\"13744640\", alpha=\"0.10\", expect_size=\"5497856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17527467\", alpha=\"0.06\", expect_size=\"5258240\"] \n  1 -> 2 [size =\"5258240\"]\n  2 [size=\"97918293\", alpha=\"0.02\", expect_size=\"29375488\"] \n  2 -> 3 [size =\"29375488\"]\n  3 [size=\"139086507\", alpha=\"0.19\", expect_size=\"41725952\"] \n  3 -> 4 [size =\"41725952\"]\n  4 [size=\"73639253\", alpha=\"0.19\", expect_size=\"22091776\"] \n  4 -> 5 [size =\"22091776\"]\n  5 [size=\"111930027\", alpha=\"0.04\", expect_size=\"33579008\"] \n  5 -> 6 [size =\"33579008\"]\n  6 [size=\"39304533\", alpha=\"0.09\", expect_size=\"11791360\"] \n  6 -> 7 [size =\"11791360\"]\n  7 [size=\"75837440\", alpha=\"0.02\", expect_size=\"22751232\"] \n  7 -> 8 [size =\"22751232\"]\n  8 [size=\"23688533\", alpha=\"0.18\", expect_size=\"7106560\"] \n  8 -> 9 [size =\"7106560\"]\n  9 [size=\"51377493\", alpha=\"0.03\", expect_size=\"15413248\"] \n  9 -> 10 [size =\"15413248\"]\n  10 [size=\"79940267\", alpha=\"0.00\", expect_size=\"23982080\"] \n  10 -> 11 [size =\"23982080\"]\n  11 [size=\"53674667\", alpha=\"0.19\", expect_size=\"16102400\"] \n  11 -> 12 [size =\"16102400\"]\n  12 [size=\"98488320\", alpha=\"0.19\", expect_size=\"29546496\"] \n  12 -> 13 [size =\"29546496\"]\n  13 [size=\"113780053\", alpha=\"0.10\", expect_size=\"34134016\"] \n  13 -> 14 [size =\"34134016\"]\n  14 [size=\"108393813\", alpha=\"0.01\", expect_size=\"32518144\"] \n  14 -> 15 [size =\"32518144\"]\n  15 [size=\"98573653\", alpha=\"0.18\", expect_size=\"29572096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89901056\", alpha=\"0.11\", expect_size=\"44950528\"] \n  1 -> 12 [size =\"44950528\"]\n  1 -> 13 [size =\"44950528\"]\n  1 -> 14 [size =\"44950528\"]\n  2 [size=\"68509696\", alpha=\"0.08\", expect_size=\"34254848\"] \n  2 -> 13 [size =\"34254848\"]\n  2 -> 15 [size =\"34254848\"]\n  3 [size=\"85297152\", alpha=\"0.16\", expect_size=\"42648576\"] \n  3 -> 11 [size =\"42648576\"]\n  4 [size=\"11640832\", alpha=\"0.19\", expect_size=\"5820416\"] \n  4 -> 13 [size =\"5820416\"]\n  5 [size=\"41101312\", alpha=\"0.17\", expect_size=\"20550656\"] \n  5 -> 15 [size =\"20550656\"]\n  6 [size=\"88182784\", alpha=\"0.16\", expect_size=\"44091392\"] \n  6 -> 15 [size =\"44091392\"]\n  7 [size=\"34428928\", alpha=\"0.10\", expect_size=\"17214464\"] \n  7 -> 14 [size =\"17214464\"]\n  8 [size=\"78635008\", alpha=\"0.00\", expect_size=\"39317504\"] \n  8 -> 11 [size =\"39317504\"]\n  8 -> 12 [size =\"39317504\"]\n  8 -> 13 [size =\"39317504\"]\n  8 -> 14 [size =\"39317504\"]\n  8 -> 15 [size =\"39317504\"]\n  9 [size=\"92966912\", alpha=\"0.11\", expect_size=\"46483456\"] \n  9 -> 14 [size =\"46483456\"]\n  10 [size=\"88713216\", alpha=\"0.14\", expect_size=\"44356608\"] \n  10 -> 13 [size =\"44356608\"]\n  10 -> 14 [size =\"44356608\"]\n  11 [size=\"96651264\", alpha=\"0.03\", expect_size=\"48325632\"] \n  12 [size=\"52942848\", alpha=\"0.15\", expect_size=\"26471424\"] \n  13 [size=\"88580096\", alpha=\"0.09\", expect_size=\"44290048\"] \n  14 [size=\"71479296\", alpha=\"0.10\", expect_size=\"35739648\"] \n  15 [size=\"66074624\", alpha=\"0.19\", expect_size=\"33037312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18917376\", alpha=\"0.11\", expect_size=\"9458688\"] \n  1 -> 6 [size =\"9458688\"]\n  1 -> 11 [size =\"9458688\"]\n  2 [size=\"38705152\", alpha=\"0.08\", expect_size=\"19352576\"] \n  2 -> 8 [size =\"19352576\"]\n  2 -> 9 [size =\"19352576\"]\n  2 -> 11 [size =\"19352576\"]\n  3 [size=\"44658688\", alpha=\"0.07\", expect_size=\"22329344\"] \n  3 -> 10 [size =\"22329344\"]\n  4 [size=\"43497472\", alpha=\"0.06\", expect_size=\"21748736\"] \n  4 -> 6 [size =\"21748736\"]\n  4 -> 10 [size =\"21748736\"]\n  5 [size=\"42596352\", alpha=\"0.07\", expect_size=\"21298176\"] \n  5 -> 6 [size =\"21298176\"]\n  5 -> 7 [size =\"21298176\"]\n  5 -> 8 [size =\"21298176\"]\n  6 [size=\"84660224\", alpha=\"0.18\", expect_size=\"42330112\"] \n  7 [size=\"56918016\", alpha=\"0.09\", expect_size=\"28459008\"] \n  7 -> 12 [size =\"28459008\"]\n  7 -> 14 [size =\"28459008\"]\n  8 [size=\"36681728\", alpha=\"0.16\", expect_size=\"18340864\"] \n  8 -> 13 [size =\"18340864\"]\n  9 [size=\"46802944\", alpha=\"0.19\", expect_size=\"23401472\"] \n  9 -> 12 [size =\"23401472\"]\n  9 -> 15 [size =\"23401472\"]\n  10 [size=\"67610624\", alpha=\"0.17\", expect_size=\"33805312\"] \n  10 -> 15 [size =\"33805312\"]\n  11 [size=\"15032320\", alpha=\"0.05\", expect_size=\"7516160\"] \n  12 [size=\"67100672\", alpha=\"0.04\", expect_size=\"33550336\"] \n  13 [size=\"104665088\", alpha=\"0.01\", expect_size=\"52332544\"] \n  14 [size=\"41369600\", alpha=\"0.02\", expect_size=\"20684800\"] \n  15 [size=\"69644288\", alpha=\"0.15\", expect_size=\"34822144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71038976\", alpha=\"0.05\", expect_size=\"35519488\"] \n  1 -> 3 [size =\"35519488\"]\n  2 [size=\"61974528\", alpha=\"0.03\", expect_size=\"30987264\"] \n  3 [size=\"54001664\", alpha=\"0.12\", expect_size=\"27000832\"] \n  3 -> 4 [size =\"27000832\"]\n  4 [size=\"83712000\", alpha=\"0.05\", expect_size=\"41856000\"] \n  4 -> 5 [size =\"41856000\"]\n  5 [size=\"50268160\", alpha=\"0.16\", expect_size=\"25134080\"] \n  5 -> 6 [size =\"25134080\"]\n  6 [size=\"46837760\", alpha=\"0.07\", expect_size=\"23418880\"] \n  6 -> 7 [size =\"23418880\"]\n  7 [size=\"10921984\", alpha=\"0.08\", expect_size=\"5460992\"] \n  7 -> 8 [size =\"5460992\"]\n  8 [size=\"32587776\", alpha=\"0.18\", expect_size=\"16293888\"] \n  8 -> 9 [size =\"16293888\"]\n  9 [size=\"34584576\", alpha=\"0.18\", expect_size=\"17292288\"] \n  9 -> 10 [size =\"17292288\"]\n  10 [size=\"84760576\", alpha=\"0.01\", expect_size=\"42380288\"] \n  10 -> 11 [size =\"42380288\"]\n  10 -> 12 [size =\"42380288\"]\n  11 [size=\"99178496\", alpha=\"0.06\", expect_size=\"49589248\"] \n  11 -> 13 [size =\"49589248\"]\n  12 [size=\"29349888\", alpha=\"0.04\", expect_size=\"14674944\"] \n  13 [size=\"45692928\", alpha=\"0.04\", expect_size=\"22846464\"] \n  13 -> 14 [size =\"22846464\"]\n  14 [size=\"102455296\", alpha=\"0.08\", expect_size=\"51227648\"] \n  14 -> 15 [size =\"51227648\"]\n  15 [size=\"30545920\", alpha=\"0.12\", expect_size=\"15272960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90045440\", alpha=\"0.03\", expect_size=\"36018176\"] \n  2 [size=\"123243520\", alpha=\"0.13\", expect_size=\"49297408\"] \n  3 [size=\"86059520\", alpha=\"0.07\", expect_size=\"34423808\"] \n  4 [size=\"69148160\", alpha=\"0.05\", expect_size=\"27659264\"] \n  5 [size=\"44239360\", alpha=\"0.18\", expect_size=\"17695744\"] \n  5 -> 15 [size =\"17695744\"]\n  6 [size=\"118906880\", alpha=\"0.16\", expect_size=\"47562752\"] \n  6 -> 15 [size =\"47562752\"]\n  7 [size=\"33576960\", alpha=\"0.04\", expect_size=\"13430784\"] \n  7 -> 15 [size =\"13430784\"]\n  8 [size=\"64030720\", alpha=\"0.07\", expect_size=\"25612288\"] \n  8 -> 15 [size =\"25612288\"]\n  9 [size=\"85301760\", alpha=\"0.01\", expect_size=\"34120704\"] \n  9 -> 15 [size =\"34120704\"]\n  10 [size=\"35189760\", alpha=\"0.18\", expect_size=\"14075904\"] \n  10 -> 15 [size =\"14075904\"]\n  11 [size=\"100953600\", alpha=\"0.05\", expect_size=\"40381440\"] \n  12 [size=\"116858880\", alpha=\"0.20\", expect_size=\"46743552\"] \n  12 -> 15 [size =\"46743552\"]\n  13 [size=\"74426880\", alpha=\"0.04\", expect_size=\"29770752\"] \n  13 -> 15 [size =\"29770752\"]\n  14 [size=\"117662720\", alpha=\"0.03\", expect_size=\"47065088\"] \n  15 [size=\"28298240\", alpha=\"0.16\", expect_size=\"11319296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79003648\", alpha=\"0.16\", expect_size=\"39501824\"] \n  2 [size=\"46030848\", alpha=\"0.15\", expect_size=\"23015424\"] \n  2 -> 3 [size =\"23015424\"]\n  3 [size=\"88647680\", alpha=\"0.11\", expect_size=\"44323840\"] \n  3 -> 4 [size =\"44323840\"]\n  3 -> 5 [size =\"44323840\"]\n  4 [size=\"95627264\", alpha=\"0.04\", expect_size=\"47813632\"] \n  4 -> 6 [size =\"47813632\"]\n  5 [size=\"75470848\", alpha=\"0.20\", expect_size=\"37735424\"] \n  5 -> 7 [size =\"37735424\"]\n  6 [size=\"90531840\", alpha=\"0.06\", expect_size=\"45265920\"] \n  6 -> 8 [size =\"45265920\"]\n  6 -> 9 [size =\"45265920\"]\n  6 -> 10 [size =\"45265920\"]\n  7 [size=\"90505216\", alpha=\"0.02\", expect_size=\"45252608\"] \n  7 -> 8 [size =\"45252608\"]\n  7 -> 9 [size =\"45252608\"]\n  7 -> 10 [size =\"45252608\"]\n  8 [size=\"28315648\", alpha=\"0.10\", expect_size=\"14157824\"] \n  8 -> 11 [size =\"14157824\"]\n  9 [size=\"37439488\", alpha=\"0.16\", expect_size=\"18719744\"] \n  9 -> 11 [size =\"18719744\"]\n  10 [size=\"12656640\", alpha=\"0.20\", expect_size=\"6328320\"] \n  10 -> 11 [size =\"6328320\"]\n  10 -> 12 [size =\"6328320\"]\n  11 [size=\"32245760\", alpha=\"0.05\", expect_size=\"16122880\"] \n  11 -> 13 [size =\"16122880\"]\n  11 -> 14 [size =\"16122880\"]\n  12 [size=\"11925504\", alpha=\"0.10\", expect_size=\"5962752\"] \n  12 -> 13 [size =\"5962752\"]\n  13 [size=\"80590848\", alpha=\"0.18\", expect_size=\"40295424\"] \n  14 [size=\"40216576\", alpha=\"0.00\", expect_size=\"20108288\"] \n  14 -> 15 [size =\"20108288\"]\n  15 [size=\"60569600\", alpha=\"0.09\", expect_size=\"30284800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32184320\", alpha=\"0.07\", expect_size=\"16092160\"] \n  1 -> 4 [size =\"16092160\"]\n  2 [size=\"94023680\", alpha=\"0.15\", expect_size=\"47011840\"] \n  3 [size=\"43141120\", alpha=\"0.12\", expect_size=\"21570560\"] \n  3 -> 4 [size =\"21570560\"]\n  3 -> 5 [size =\"21570560\"]\n  4 [size=\"83044352\", alpha=\"0.09\", expect_size=\"41522176\"] \n  4 -> 7 [size =\"41522176\"]\n  5 [size=\"67567616\", alpha=\"0.16\", expect_size=\"33783808\"] \n  5 -> 6 [size =\"33783808\"]\n  6 [size=\"18335744\", alpha=\"0.13\", expect_size=\"9167872\"] \n  6 -> 8 [size =\"9167872\"]\n  6 -> 9 [size =\"9167872\"]\n  7 [size=\"42039296\", alpha=\"0.01\", expect_size=\"21019648\"] \n  7 -> 8 [size =\"21019648\"]\n  8 [size=\"34127872\", alpha=\"0.16\", expect_size=\"17063936\"] \n  8 -> 10 [size =\"17063936\"]\n  8 -> 11 [size =\"17063936\"]\n  9 [size=\"86276096\", alpha=\"0.01\", expect_size=\"43138048\"] \n  9 -> 10 [size =\"43138048\"]\n  9 -> 11 [size =\"43138048\"]\n  10 [size=\"87199744\", alpha=\"0.09\", expect_size=\"43599872\"] \n  10 -> 12 [size =\"43599872\"]\n  11 [size=\"36732928\", alpha=\"0.04\", expect_size=\"18366464\"] \n  11 -> 13 [size =\"18366464\"]\n  12 [size=\"71712768\", alpha=\"0.20\", expect_size=\"35856384\"] \n  12 -> 14 [size =\"35856384\"]\n  12 -> 15 [size =\"35856384\"]\n  13 [size=\"48939008\", alpha=\"0.15\", expect_size=\"24469504\"] \n  13 -> 15 [size =\"24469504\"]\n  14 [size=\"11169792\", alpha=\"0.03\", expect_size=\"5584896\"] \n  15 [size=\"53450752\", alpha=\"0.20\", expect_size=\"26725376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75983360\", alpha=\"0.12\", expect_size=\"30393344\"] \n  2 [size=\"19340800\", alpha=\"0.15\", expect_size=\"7736320\"] \n  2 -> 3 [size =\"7736320\"]\n  2 -> 4 [size =\"7736320\"]\n  3 [size=\"14149120\", alpha=\"0.09\", expect_size=\"5659648\"] \n  3 -> 5 [size =\"5659648\"]\n  4 [size=\"51125760\", alpha=\"0.09\", expect_size=\"20450304\"] \n  5 [size=\"121075200\", alpha=\"0.18\", expect_size=\"48430080\"] \n  5 -> 6 [size =\"48430080\"]\n  5 -> 7 [size =\"48430080\"]\n  6 [size=\"25172480\", alpha=\"0.19\", expect_size=\"10068992\"] \n  6 -> 8 [size =\"10068992\"]\n  6 -> 9 [size =\"10068992\"]\n  7 [size=\"123394560\", alpha=\"0.09\", expect_size=\"49357824\"] \n  8 [size=\"74127360\", alpha=\"0.03\", expect_size=\"29650944\"] \n  9 [size=\"116712960\", alpha=\"0.00\", expect_size=\"46685184\"] \n  9 -> 10 [size =\"46685184\"]\n  9 -> 11 [size =\"46685184\"]\n  10 [size=\"94850560\", alpha=\"0.16\", expect_size=\"37940224\"] \n  11 [size=\"75688960\", alpha=\"0.14\", expect_size=\"30275584\"] \n  11 -> 12 [size =\"30275584\"]\n  12 [size=\"30758400\", alpha=\"0.13\", expect_size=\"12303360\"] \n  12 -> 13 [size =\"12303360\"]\n  12 -> 14 [size =\"12303360\"]\n  13 [size=\"116392960\", alpha=\"0.16\", expect_size=\"46557184\"] \n  14 [size=\"51330560\", alpha=\"0.04\", expect_size=\"20532224\"] \n  14 -> 15 [size =\"20532224\"]\n  15 [size=\"105149440\", alpha=\"0.14\", expect_size=\"42059776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96378880\", alpha=\"0.09\", expect_size=\"48189440\"] \n  1 -> 5 [size =\"48189440\"]\n  2 [size=\"30312448\", alpha=\"0.09\", expect_size=\"15156224\"] \n  3 [size=\"44888064\", alpha=\"0.04\", expect_size=\"22444032\"] \n  3 -> 4 [size =\"22444032\"]\n  4 [size=\"99078144\", alpha=\"0.10\", expect_size=\"49539072\"] \n  4 -> 6 [size =\"49539072\"]\n  4 -> 7 [size =\"49539072\"]\n  5 [size=\"78551040\", alpha=\"0.12\", expect_size=\"39275520\"] \n  6 [size=\"61292544\", alpha=\"0.03\", expect_size=\"30646272\"] \n  6 -> 8 [size =\"30646272\"]\n  6 -> 10 [size =\"30646272\"]\n  7 [size=\"65087488\", alpha=\"0.07\", expect_size=\"32543744\"] \n  7 -> 9 [size =\"32543744\"]\n  8 [size=\"43120640\", alpha=\"0.01\", expect_size=\"21560320\"] \n  8 -> 13 [size =\"21560320\"]\n  9 [size=\"83380224\", alpha=\"0.02\", expect_size=\"41690112\"] \n  9 -> 11 [size =\"41690112\"]\n  9 -> 12 [size =\"41690112\"]\n  10 [size=\"33357824\", alpha=\"0.17\", expect_size=\"16678912\"] \n  10 -> 11 [size =\"16678912\"]\n  10 -> 12 [size =\"16678912\"]\n  11 [size=\"57946112\", alpha=\"0.15\", expect_size=\"28973056\"] \n  11 -> 14 [size =\"28973056\"]\n  12 [size=\"100741120\", alpha=\"0.04\", expect_size=\"50370560\"] \n  12 -> 14 [size =\"50370560\"]\n  12 -> 15 [size =\"50370560\"]\n  13 [size=\"48717824\", alpha=\"0.15\", expect_size=\"24358912\"] \n  14 [size=\"69103616\", alpha=\"0.05\", expect_size=\"34551808\"] \n  15 [size=\"20516864\", alpha=\"0.00\", expect_size=\"10258432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51019776\", alpha=\"0.14\", expect_size=\"25509888\"] \n  1 -> 5 [size =\"25509888\"]\n  1 -> 8 [size =\"25509888\"]\n  1 -> 9 [size =\"25509888\"]\n  1 -> 9 [size =\"25509888\"]\n  1 -> 10 [size =\"25509888\"]\n  2 [size=\"22751232\", alpha=\"0.11\", expect_size=\"11375616\"] \n  2 -> 10 [size =\"11375616\"]\n  3 [size=\"93222912\", alpha=\"0.15\", expect_size=\"46611456\"] \n  3 -> 5 [size =\"46611456\"]\n  3 -> 6 [size =\"46611456\"]\n  3 -> 7 [size =\"46611456\"]\n  3 -> 9 [size =\"46611456\"]\n  3 -> 10 [size =\"46611456\"]\n  3 -> 11 [size =\"46611456\"]\n  4 [size=\"25952256\", alpha=\"0.14\", expect_size=\"12976128\"] \n  4 -> 5 [size =\"12976128\"]\n  4 -> 7 [size =\"12976128\"]\n  4 -> 8 [size =\"12976128\"]\n  4 -> 9 [size =\"12976128\"]\n  4 -> 10 [size =\"12976128\"]\n  5 [size=\"91086848\", alpha=\"0.00\", expect_size=\"45543424\"] \n  5 -> 12 [size =\"45543424\"]\n  5 -> 14 [size =\"45543424\"]\n  6 [size=\"20211712\", alpha=\"0.05\", expect_size=\"10105856\"] \n  6 -> 14 [size =\"10105856\"]\n  6 -> 15 [size =\"10105856\"]\n  7 [size=\"71014400\", alpha=\"0.18\", expect_size=\"35507200\"] \n  7 -> 12 [size =\"35507200\"]\n  7 -> 14 [size =\"35507200\"]\n  7 -> 15 [size =\"35507200\"]\n  8 [size=\"60631040\", alpha=\"0.16\", expect_size=\"30315520\"] \n  8 -> 14 [size =\"30315520\"]\n  8 -> 15 [size =\"30315520\"]\n  9 [size=\"32124928\", alpha=\"0.04\", expect_size=\"16062464\"] \n  9 -> 13 [size =\"16062464\"]\n  9 -> 15 [size =\"16062464\"]\n  10 [size=\"57262080\", alpha=\"0.01\", expect_size=\"28631040\"] \n  10 -> 13 [size =\"28631040\"]\n  10 -> 15 [size =\"28631040\"]\n  11 [size=\"64217088\", alpha=\"0.03\", expect_size=\"32108544\"] \n  11 -> 12 [size =\"32108544\"]\n  11 -> 14 [size =\"32108544\"]\n  12 [size=\"35950592\", alpha=\"0.03\", expect_size=\"17975296\"] \n  13 [size=\"89038848\", alpha=\"0.02\", expect_size=\"44519424\"] \n  14 [size=\"67371008\", alpha=\"0.15\", expect_size=\"33685504\"] \n  15 [size=\"38762496\", alpha=\"0.03\", expect_size=\"19381248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43741184\", alpha=\"0.14\", expect_size=\"21870592\"] \n  1 -> 4 [size =\"21870592\"]\n  1 -> 5 [size =\"21870592\"]\n  2 [size=\"14886912\", alpha=\"0.02\", expect_size=\"7443456\"] \n  2 -> 4 [size =\"7443456\"]\n  2 -> 5 [size =\"7443456\"]\n  3 [size=\"54595584\", alpha=\"0.14\", expect_size=\"27297792\"] \n  3 -> 4 [size =\"27297792\"]\n  3 -> 5 [size =\"27297792\"]\n  4 [size=\"83593216\", alpha=\"0.11\", expect_size=\"41796608\"] \n  4 -> 6 [size =\"41796608\"]\n  4 -> 7 [size =\"41796608\"]\n  4 -> 8 [size =\"41796608\"]\n  5 [size=\"104050688\", alpha=\"0.08\", expect_size=\"52025344\"] \n  5 -> 6 [size =\"52025344\"]\n  5 -> 7 [size =\"52025344\"]\n  5 -> 8 [size =\"52025344\"]\n  6 [size=\"81512448\", alpha=\"0.13\", expect_size=\"40756224\"] \n  6 -> 9 [size =\"40756224\"]\n  6 -> 10 [size =\"40756224\"]\n  7 [size=\"104325120\", alpha=\"0.14\", expect_size=\"52162560\"] \n  7 -> 9 [size =\"52162560\"]\n  7 -> 10 [size =\"52162560\"]\n  8 [size=\"22317056\", alpha=\"0.17\", expect_size=\"11158528\"] \n  8 -> 9 [size =\"11158528\"]\n  8 -> 10 [size =\"11158528\"]\n  9 [size=\"79785984\", alpha=\"0.00\", expect_size=\"39892992\"] \n  9 -> 11 [size =\"39892992\"]\n  9 -> 12 [size =\"39892992\"]\n  9 -> 13 [size =\"39892992\"]\n  10 [size=\"49668096\", alpha=\"0.00\", expect_size=\"24834048\"] \n  10 -> 11 [size =\"24834048\"]\n  10 -> 12 [size =\"24834048\"]\n  10 -> 13 [size =\"24834048\"]\n  11 [size=\"16113664\", alpha=\"0.12\", expect_size=\"8056832\"] \n  11 -> 14 [size =\"8056832\"]\n  11 -> 15 [size =\"8056832\"]\n  12 [size=\"79941632\", alpha=\"0.11\", expect_size=\"39970816\"] \n  12 -> 14 [size =\"39970816\"]\n  13 [size=\"89153536\", alpha=\"0.06\", expect_size=\"44576768\"] \n  13 -> 14 [size =\"44576768\"]\n  13 -> 15 [size =\"44576768\"]\n  14 [size=\"59348992\", alpha=\"0.01\", expect_size=\"29674496\"] \n  15 [size=\"16363520\", alpha=\"0.19\", expect_size=\"8181760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90431488\", alpha=\"0.12\", expect_size=\"45215744\"] \n  1 -> 4 [size =\"45215744\"]\n  2 [size=\"27979776\", alpha=\"0.14\", expect_size=\"13989888\"] \n  2 -> 4 [size =\"13989888\"]\n  2 -> 5 [size =\"13989888\"]\n  3 [size=\"103538688\", alpha=\"0.06\", expect_size=\"51769344\"] \n  3 -> 6 [size =\"51769344\"]\n  4 [size=\"92684288\", alpha=\"0.14\", expect_size=\"46342144\"] \n  4 -> 7 [size =\"46342144\"]\n  4 -> 8 [size =\"46342144\"]\n  4 -> 10 [size =\"46342144\"]\n  4 -> 11 [size =\"46342144\"]\n  4 -> 13 [size =\"46342144\"]\n  5 [size=\"66494464\", alpha=\"0.08\", expect_size=\"33247232\"] \n  5 -> 8 [size =\"33247232\"]\n  5 -> 9 [size =\"33247232\"]\n  5 -> 10 [size =\"33247232\"]\n  5 -> 12 [size =\"33247232\"]\n  5 -> 13 [size =\"33247232\"]\n  6 [size=\"32509952\", alpha=\"0.07\", expect_size=\"16254976\"] \n  6 -> 9 [size =\"16254976\"]\n  7 [size=\"22116352\", alpha=\"0.09\", expect_size=\"11058176\"] \n  8 [size=\"71012352\", alpha=\"0.01\", expect_size=\"35506176\"] \n  8 -> 14 [size =\"35506176\"]\n  9 [size=\"28604416\", alpha=\"0.20\", expect_size=\"14302208\"] \n  9 -> 15 [size =\"14302208\"]\n  10 [size=\"41691136\", alpha=\"0.15\", expect_size=\"20845568\"] \n  10 -> 15 [size =\"20845568\"]\n  11 [size=\"14653440\", alpha=\"0.07\", expect_size=\"7326720\"] \n  12 [size=\"69244928\", alpha=\"0.13\", expect_size=\"34622464\"] \n  12 -> 15 [size =\"34622464\"]\n  13 [size=\"42905600\", alpha=\"0.02\", expect_size=\"21452800\"] \n  13 -> 14 [size =\"21452800\"]\n  13 -> 15 [size =\"21452800\"]\n  14 [size=\"68947968\", alpha=\"0.05\", expect_size=\"34473984\"] \n  15 [size=\"40738816\", alpha=\"0.17\", expect_size=\"20369408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54617600\", alpha=\"0.11\", expect_size=\"21847040\"] \n  1 -> 6 [size =\"21847040\"]\n  1 -> 10 [size =\"21847040\"]\n  1 -> 11 [size =\"21847040\"]\n  1 -> 12 [size =\"21847040\"]\n  1 -> 13 [size =\"21847040\"]\n  2 [size=\"107287040\", alpha=\"0.08\", expect_size=\"42914816\"] \n  2 -> 6 [size =\"42914816\"]\n  2 -> 7 [size =\"42914816\"]\n  2 -> 10 [size =\"42914816\"]\n  2 -> 11 [size =\"42914816\"]\n  2 -> 12 [size =\"42914816\"]\n  3 [size=\"117829120\", alpha=\"0.15\", expect_size=\"47131648\"] \n  3 -> 6 [size =\"47131648\"]\n  3 -> 11 [size =\"47131648\"]\n  3 -> 13 [size =\"47131648\"]\n  4 [size=\"22031360\", alpha=\"0.13\", expect_size=\"8812544\"] \n  4 -> 10 [size =\"8812544\"]\n  4 -> 11 [size =\"8812544\"]\n  4 -> 12 [size =\"8812544\"]\n  5 [size=\"26905600\", alpha=\"0.02\", expect_size=\"10762240\"] \n  5 -> 6 [size =\"10762240\"]\n  5 -> 7 [size =\"10762240\"]\n  5 -> 8 [size =\"10762240\"]\n  5 -> 9 [size =\"10762240\"]\n  5 -> 10 [size =\"10762240\"]\n  5 -> 11 [size =\"10762240\"]\n  5 -> 12 [size =\"10762240\"]\n  5 -> 13 [size =\"10762240\"]\n  6 [size=\"44853760\", alpha=\"0.14\", expect_size=\"17941504\"] \n  6 -> 15 [size =\"17941504\"]\n  7 [size=\"69201920\", alpha=\"0.13\", expect_size=\"27680768\"] \n  8 [size=\"121640960\", alpha=\"0.01\", expect_size=\"48656384\"] \n  9 [size=\"62202880\", alpha=\"0.02\", expect_size=\"24881152\"] \n  9 -> 14 [size =\"24881152\"]\n  9 -> 15 [size =\"24881152\"]\n  10 [size=\"96734720\", alpha=\"0.19\", expect_size=\"38693888\"] \n  10 -> 15 [size =\"38693888\"]\n  11 [size=\"25162240\", alpha=\"0.03\", expect_size=\"10064896\"] \n  11 -> 15 [size =\"10064896\"]\n  12 [size=\"87656960\", alpha=\"0.19\", expect_size=\"35062784\"] \n  12 -> 14 [size =\"35062784\"]\n  12 -> 15 [size =\"35062784\"]\n  13 [size=\"16954880\", alpha=\"0.09\", expect_size=\"6781952\"] \n  13 -> 15 [size =\"6781952\"]\n  14 [size=\"105175040\", alpha=\"0.18\", expect_size=\"42070016\"] \n  15 [size=\"64309760\", alpha=\"0.17\", expect_size=\"25723904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60014592\", alpha=\"0.00\", expect_size=\"30007296\"] \n  1 -> 3 [size =\"30007296\"]\n  1 -> 4 [size =\"30007296\"]\n  1 -> 5 [size =\"30007296\"]\n  2 [size=\"63555584\", alpha=\"0.02\", expect_size=\"31777792\"] \n  2 -> 3 [size =\"31777792\"]\n  2 -> 5 [size =\"31777792\"]\n  3 [size=\"46778368\", alpha=\"0.03\", expect_size=\"23389184\"] \n  4 [size=\"61800448\", alpha=\"0.03\", expect_size=\"30900224\"] \n  4 -> 6 [size =\"30900224\"]\n  4 -> 7 [size =\"30900224\"]\n  4 -> 8 [size =\"30900224\"]\n  5 [size=\"26013696\", alpha=\"0.07\", expect_size=\"13006848\"] \n  5 -> 6 [size =\"13006848\"]\n  5 -> 7 [size =\"13006848\"]\n  6 [size=\"66607104\", alpha=\"0.08\", expect_size=\"33303552\"] \n  7 [size=\"94656512\", alpha=\"0.10\", expect_size=\"47328256\"] \n  7 -> 10 [size =\"47328256\"]\n  8 [size=\"40886272\", alpha=\"0.15\", expect_size=\"20443136\"] \n  8 -> 9 [size =\"20443136\"]\n  9 [size=\"53757952\", alpha=\"0.08\", expect_size=\"26878976\"] \n  9 -> 11 [size =\"26878976\"]\n  9 -> 12 [size =\"26878976\"]\n  10 [size=\"101089280\", alpha=\"0.10\", expect_size=\"50544640\"] \n  10 -> 12 [size =\"50544640\"]\n  11 [size=\"98721792\", alpha=\"0.17\", expect_size=\"49360896\"] \n  11 -> 13 [size =\"49360896\"]\n  11 -> 14 [size =\"49360896\"]\n  12 [size=\"100202496\", alpha=\"0.18\", expect_size=\"50101248\"] \n  12 -> 13 [size =\"50101248\"]\n  12 -> 14 [size =\"50101248\"]\n  12 -> 15 [size =\"50101248\"]\n  13 [size=\"13039616\", alpha=\"0.19\", expect_size=\"6519808\"] \n  14 [size=\"26474496\", alpha=\"0.16\", expect_size=\"13237248\"] \n  15 [size=\"39684096\", alpha=\"0.13\", expect_size=\"19842048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20013056\", alpha=\"0.09\", expect_size=\"10006528\"] \n  1 -> 13 [size =\"10006528\"]\n  1 -> 14 [size =\"10006528\"]\n  2 [size=\"49137664\", alpha=\"0.19\", expect_size=\"24568832\"] \n  3 [size=\"68847616\", alpha=\"0.01\", expect_size=\"34423808\"] \n  4 [size=\"94515200\", alpha=\"0.03\", expect_size=\"47257600\"] \n  4 -> 13 [size =\"47257600\"]\n  5 [size=\"68427776\", alpha=\"0.13\", expect_size=\"34213888\"] \n  5 -> 15 [size =\"34213888\"]\n  6 [size=\"25094144\", alpha=\"0.14\", expect_size=\"12547072\"] \n  6 -> 13 [size =\"12547072\"]\n  7 [size=\"55504896\", alpha=\"0.07\", expect_size=\"27752448\"] \n  8 [size=\"21118976\", alpha=\"0.00\", expect_size=\"10559488\"] \n  8 -> 13 [size =\"10559488\"]\n  9 [size=\"47132672\", alpha=\"0.05\", expect_size=\"23566336\"] \n  10 [size=\"42235904\", alpha=\"0.00\", expect_size=\"21117952\"] \n  10 -> 14 [size =\"21117952\"]\n  10 -> 15 [size =\"21117952\"]\n  11 [size=\"41512960\", alpha=\"0.13\", expect_size=\"20756480\"] \n  11 -> 14 [size =\"20756480\"]\n  11 -> 15 [size =\"20756480\"]\n  12 [size=\"83681280\", alpha=\"0.18\", expect_size=\"41840640\"] \n  12 -> 14 [size =\"41840640\"]\n  13 [size=\"78985216\", alpha=\"0.12\", expect_size=\"39492608\"] \n  14 [size=\"82434048\", alpha=\"0.16\", expect_size=\"41217024\"] \n  15 [size=\"98879488\", alpha=\"0.15\", expect_size=\"49439744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68344320\", alpha=\"0.05\", expect_size=\"27337728\"] \n  1 -> 5 [size =\"27337728\"]\n  2 [size=\"60323840\", alpha=\"0.14\", expect_size=\"24129536\"] \n  3 [size=\"129756160\", alpha=\"0.12\", expect_size=\"51902464\"] \n  3 -> 4 [size =\"51902464\"]\n  4 [size=\"58060800\", alpha=\"0.04\", expect_size=\"23224320\"] \n  4 -> 7 [size =\"23224320\"]\n  4 -> 8 [size =\"23224320\"]\n  5 [size=\"64545280\", alpha=\"0.13\", expect_size=\"25818112\"] \n  5 -> 6 [size =\"25818112\"]\n  5 -> 7 [size =\"25818112\"]\n  5 -> 8 [size =\"25818112\"]\n  6 [size=\"49664000\", alpha=\"0.07\", expect_size=\"19865600\"] \n  6 -> 9 [size =\"19865600\"]\n  6 -> 10 [size =\"19865600\"]\n  7 [size=\"49448960\", alpha=\"0.16\", expect_size=\"19779584\"] \n  7 -> 9 [size =\"19779584\"]\n  7 -> 11 [size =\"19779584\"]\n  8 [size=\"84019200\", alpha=\"0.20\", expect_size=\"33607680\"] \n  8 -> 9 [size =\"33607680\"]\n  9 [size=\"62479360\", alpha=\"0.06\", expect_size=\"24991744\"] \n  9 -> 12 [size =\"24991744\"]\n  9 -> 13 [size =\"24991744\"]\n  10 [size=\"28336640\", alpha=\"0.12\", expect_size=\"11334656\"] \n  10 -> 12 [size =\"11334656\"]\n  11 [size=\"129338880\", alpha=\"0.13\", expect_size=\"51735552\"] \n  11 -> 12 [size =\"51735552\"]\n  11 -> 13 [size =\"51735552\"]\n  12 [size=\"39111680\", alpha=\"0.05\", expect_size=\"15644672\"] \n  12 -> 14 [size =\"15644672\"]\n  12 -> 15 [size =\"15644672\"]\n  13 [size=\"124142080\", alpha=\"0.00\", expect_size=\"49656832\"] \n  13 -> 14 [size =\"49656832\"]\n  13 -> 15 [size =\"49656832\"]\n  14 [size=\"77527040\", alpha=\"0.01\", expect_size=\"31010816\"] \n  15 [size=\"100198400\", alpha=\"0.12\", expect_size=\"40079360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49477120\", alpha=\"0.01\", expect_size=\"19790848\"] \n  2 [size=\"52782080\", alpha=\"0.16\", expect_size=\"21112832\"] \n  2 -> 3 [size =\"21112832\"]\n  3 [size=\"65146880\", alpha=\"0.00\", expect_size=\"26058752\"] \n  3 -> 4 [size =\"26058752\"]\n  3 -> 5 [size =\"26058752\"]\n  4 [size=\"18498560\", alpha=\"0.01\", expect_size=\"7399424\"] \n  4 -> 6 [size =\"7399424\"]\n  5 [size=\"119687680\", alpha=\"0.17\", expect_size=\"47875072\"] \n  6 [size=\"105315840\", alpha=\"0.06\", expect_size=\"42126336\"] \n  6 -> 7 [size =\"42126336\"]\n  7 [size=\"107870720\", alpha=\"0.16\", expect_size=\"43148288\"] \n  7 -> 8 [size =\"43148288\"]\n  8 [size=\"64192000\", alpha=\"0.12\", expect_size=\"25676800\"] \n  8 -> 9 [size =\"25676800\"]\n  8 -> 10 [size =\"25676800\"]\n  9 [size=\"116083200\", alpha=\"0.00\", expect_size=\"46433280\"] \n  10 [size=\"103664640\", alpha=\"0.17\", expect_size=\"41465856\"] \n  10 -> 11 [size =\"41465856\"]\n  11 [size=\"95948800\", alpha=\"0.01\", expect_size=\"38379520\"] \n  11 -> 12 [size =\"38379520\"]\n  11 -> 13 [size =\"38379520\"]\n  12 [size=\"100559360\", alpha=\"0.17\", expect_size=\"40223744\"] \n  13 [size=\"79447040\", alpha=\"0.16\", expect_size=\"31778816\"] \n  13 -> 14 [size =\"31778816\"]\n  13 -> 15 [size =\"31778816\"]\n  14 [size=\"82114560\", alpha=\"0.13\", expect_size=\"32845824\"] \n  15 [size=\"85073920\", alpha=\"0.05\", expect_size=\"34029568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85581824\", alpha=\"0.04\", expect_size=\"42790912\"] \n  1 -> 2 [size =\"42790912\"]\n  2 [size=\"40402944\", alpha=\"0.06\", expect_size=\"20201472\"] \n  2 -> 3 [size =\"20201472\"]\n  3 [size=\"49356800\", alpha=\"0.02\", expect_size=\"24678400\"] \n  3 -> 4 [size =\"24678400\"]\n  4 [size=\"82178048\", alpha=\"0.05\", expect_size=\"41089024\"] \n  4 -> 5 [size =\"41089024\"]\n  5 [size=\"56094720\", alpha=\"0.12\", expect_size=\"28047360\"] \n  5 -> 6 [size =\"28047360\"]\n  6 [size=\"23730176\", alpha=\"0.15\", expect_size=\"11865088\"] \n  6 -> 7 [size =\"11865088\"]\n  7 [size=\"53391360\", alpha=\"0.09\", expect_size=\"26695680\"] \n  7 -> 8 [size =\"26695680\"]\n  8 [size=\"81344512\", alpha=\"0.02\", expect_size=\"40672256\"] \n  8 -> 9 [size =\"40672256\"]\n  9 [size=\"19478528\", alpha=\"0.13\", expect_size=\"9739264\"] \n  9 -> 10 [size =\"9739264\"]\n  10 [size=\"70713344\", alpha=\"0.01\", expect_size=\"35356672\"] \n  10 -> 11 [size =\"35356672\"]\n  11 [size=\"78866432\", alpha=\"0.19\", expect_size=\"39433216\"] \n  11 -> 12 [size =\"39433216\"]\n  12 [size=\"99549184\", alpha=\"0.16\", expect_size=\"49774592\"] \n  12 -> 13 [size =\"49774592\"]\n  13 [size=\"31162368\", alpha=\"0.09\", expect_size=\"15581184\"] \n  13 -> 14 [size =\"15581184\"]\n  14 [size=\"41345024\", alpha=\"0.08\", expect_size=\"20672512\"] \n  14 -> 15 [size =\"20672512\"]\n  15 [size=\"64034816\", alpha=\"0.10\", expect_size=\"32017408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130222080\", alpha=\"0.05\", expect_size=\"39066624\"] \n  1 -> 2 [size =\"39066624\"]\n  2 [size=\"128447147\", alpha=\"0.08\", expect_size=\"38534144\"] \n  2 -> 3 [size =\"38534144\"]\n  3 [size=\"21050027\", alpha=\"0.17\", expect_size=\"6315008\"] \n  3 -> 4 [size =\"6315008\"]\n  4 [size=\"130955947\", alpha=\"0.03\", expect_size=\"39286784\"] \n  4 -> 5 [size =\"39286784\"]\n  5 [size=\"155432960\", alpha=\"0.05\", expect_size=\"46629888\"] \n  5 -> 6 [size =\"46629888\"]\n  6 [size=\"155153067\", alpha=\"0.04\", expect_size=\"46545920\"] \n  6 -> 7 [size =\"46545920\"]\n  7 [size=\"142506667\", alpha=\"0.15\", expect_size=\"42752000\"] \n  7 -> 8 [size =\"42752000\"]\n  8 [size=\"22620160\", alpha=\"0.20\", expect_size=\"6786048\"] \n  8 -> 9 [size =\"6786048\"]\n  9 [size=\"172864853\", alpha=\"0.02\", expect_size=\"51859456\"] \n  9 -> 10 [size =\"51859456\"]\n  10 [size=\"73212587\", alpha=\"0.12\", expect_size=\"21963776\"] \n  10 -> 11 [size =\"21963776\"]\n  11 [size=\"162737493\", alpha=\"0.07\", expect_size=\"48821248\"] \n  11 -> 12 [size =\"48821248\"]\n  12 [size=\"44322133\", alpha=\"0.11\", expect_size=\"13296640\"] \n  12 -> 13 [size =\"13296640\"]\n  13 [size=\"110277973\", alpha=\"0.12\", expect_size=\"33083392\"] \n  13 -> 14 [size =\"33083392\"]\n  14 [size=\"86572373\", alpha=\"0.10\", expect_size=\"25971712\"] \n  14 -> 15 [size =\"25971712\"]\n  15 [size=\"111568213\", alpha=\"0.16\", expect_size=\"33470464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36024320\", alpha=\"0.14\", expect_size=\"14409728\"] \n  1 -> 8 [size =\"14409728\"]\n  2 [size=\"87641600\", alpha=\"0.01\", expect_size=\"35056640\"] \n  2 -> 6 [size =\"35056640\"]\n  2 -> 11 [size =\"35056640\"]\n  3 [size=\"119884800\", alpha=\"0.04\", expect_size=\"47953920\"] \n  3 -> 6 [size =\"47953920\"]\n  3 -> 11 [size =\"47953920\"]\n  4 [size=\"59458560\", alpha=\"0.01\", expect_size=\"23783424\"] \n  4 -> 7 [size =\"23783424\"]\n  4 -> 8 [size =\"23783424\"]\n  4 -> 9 [size =\"23783424\"]\n  5 [size=\"28958720\", alpha=\"0.16\", expect_size=\"11583488\"] \n  5 -> 10 [size =\"11583488\"]\n  6 [size=\"23754240\", alpha=\"0.01\", expect_size=\"9501696\"] \n  6 -> 12 [size =\"9501696\"]\n  6 -> 15 [size =\"9501696\"]\n  7 [size=\"87362560\", alpha=\"0.12\", expect_size=\"34945024\"] \n  8 [size=\"34224640\", alpha=\"0.12\", expect_size=\"13689856\"] \n  9 [size=\"103534080\", alpha=\"0.07\", expect_size=\"41413632\"] \n  9 -> 13 [size =\"41413632\"]\n  10 [size=\"84595200\", alpha=\"0.03\", expect_size=\"33838080\"] \n  10 -> 12 [size =\"33838080\"]\n  10 -> 14 [size =\"33838080\"]\n  10 -> 15 [size =\"33838080\"]\n  11 [size=\"87559680\", alpha=\"0.02\", expect_size=\"35023872\"] \n  11 -> 14 [size =\"35023872\"]\n  12 [size=\"49786880\", alpha=\"0.18\", expect_size=\"19914752\"] \n  13 [size=\"57661440\", alpha=\"0.10\", expect_size=\"23064576\"] \n  14 [size=\"80184320\", alpha=\"0.12\", expect_size=\"32073728\"] \n  15 [size=\"86471680\", alpha=\"0.05\", expect_size=\"34588672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62193664\", alpha=\"0.06\", expect_size=\"31096832\"] \n  1 -> 2 [size =\"31096832\"]\n  2 [size=\"54816768\", alpha=\"0.14\", expect_size=\"27408384\"] \n  2 -> 3 [size =\"27408384\"]\n  3 [size=\"32141312\", alpha=\"0.16\", expect_size=\"16070656\"] \n  3 -> 4 [size =\"16070656\"]\n  4 [size=\"69738496\", alpha=\"0.20\", expect_size=\"34869248\"] \n  4 -> 5 [size =\"34869248\"]\n  5 [size=\"71346176\", alpha=\"0.19\", expect_size=\"35673088\"] \n  5 -> 6 [size =\"35673088\"]\n  6 [size=\"88109056\", alpha=\"0.12\", expect_size=\"44054528\"] \n  6 -> 7 [size =\"44054528\"]\n  7 [size=\"100083712\", alpha=\"0.18\", expect_size=\"50041856\"] \n  7 -> 8 [size =\"50041856\"]\n  8 [size=\"63954944\", alpha=\"0.06\", expect_size=\"31977472\"] \n  8 -> 9 [size =\"31977472\"]\n  9 [size=\"80240640\", alpha=\"0.18\", expect_size=\"40120320\"] \n  9 -> 10 [size =\"40120320\"]\n  10 [size=\"81047552\", alpha=\"0.02\", expect_size=\"40523776\"] \n  10 -> 11 [size =\"40523776\"]\n  11 [size=\"36612096\", alpha=\"0.12\", expect_size=\"18306048\"] \n  11 -> 12 [size =\"18306048\"]\n  12 [size=\"64598016\", alpha=\"0.18\", expect_size=\"32299008\"] \n  12 -> 13 [size =\"32299008\"]\n  13 [size=\"36259840\", alpha=\"0.16\", expect_size=\"18129920\"] \n  13 -> 14 [size =\"18129920\"]\n  14 [size=\"19552256\", alpha=\"0.02\", expect_size=\"9776128\"] \n  14 -> 15 [size =\"9776128\"]\n  15 [size=\"18149376\", alpha=\"0.15\", expect_size=\"9074688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54818816\", alpha=\"0.17\", expect_size=\"27409408\"] \n  1 -> 2 [size =\"27409408\"]\n  2 [size=\"44414976\", alpha=\"0.17\", expect_size=\"22207488\"] \n  2 -> 3 [size =\"22207488\"]\n  3 [size=\"89960448\", alpha=\"0.01\", expect_size=\"44980224\"] \n  3 -> 4 [size =\"44980224\"]\n  4 [size=\"19191808\", alpha=\"0.08\", expect_size=\"9595904\"] \n  4 -> 5 [size =\"9595904\"]\n  5 [size=\"14465024\", alpha=\"0.02\", expect_size=\"7232512\"] \n  5 -> 6 [size =\"7232512\"]\n  6 [size=\"63522816\", alpha=\"0.11\", expect_size=\"31761408\"] \n  6 -> 7 [size =\"31761408\"]\n  7 [size=\"85547008\", alpha=\"0.14\", expect_size=\"42773504\"] \n  7 -> 8 [size =\"42773504\"]\n  8 [size=\"91215872\", alpha=\"0.14\", expect_size=\"45607936\"] \n  8 -> 9 [size =\"45607936\"]\n  9 [size=\"70916096\", alpha=\"0.17\", expect_size=\"35458048\"] \n  9 -> 10 [size =\"35458048\"]\n  10 [size=\"55222272\", alpha=\"0.03\", expect_size=\"27611136\"] \n  10 -> 11 [size =\"27611136\"]\n  11 [size=\"103698432\", alpha=\"0.20\", expect_size=\"51849216\"] \n  11 -> 12 [size =\"51849216\"]\n  12 [size=\"87310336\", alpha=\"0.13\", expect_size=\"43655168\"] \n  12 -> 13 [size =\"43655168\"]\n  13 [size=\"72730624\", alpha=\"0.08\", expect_size=\"36365312\"] \n  13 -> 14 [size =\"36365312\"]\n  14 [size=\"78960640\", alpha=\"0.03\", expect_size=\"39480320\"] \n  14 -> 15 [size =\"39480320\"]\n  15 [size=\"22818816\", alpha=\"0.20\", expect_size=\"11409408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149486933\", alpha=\"0.01\", expect_size=\"44846080\"] \n  1 -> 11 [size =\"44846080\"]\n  1 -> 12 [size =\"44846080\"]\n  2 [size=\"96535893\", alpha=\"0.02\", expect_size=\"28960768\"] \n  2 -> 12 [size =\"28960768\"]\n  2 -> 14 [size =\"28960768\"]\n  3 [size=\"79947093\", alpha=\"0.03\", expect_size=\"23984128\"] \n  4 [size=\"42533547\", alpha=\"0.18\", expect_size=\"12760064\"] \n  5 [size=\"96013653\", alpha=\"0.14\", expect_size=\"28804096\"] \n  5 -> 13 [size =\"28804096\"]\n  5 -> 14 [size =\"28804096\"]\n  6 [size=\"152442880\", alpha=\"0.09\", expect_size=\"45732864\"] \n  6 -> 12 [size =\"45732864\"]\n  6 -> 13 [size =\"45732864\"]\n  7 [size=\"95242240\", alpha=\"0.03\", expect_size=\"28572672\"] \n  7 -> 13 [size =\"28572672\"]\n  7 -> 15 [size =\"28572672\"]\n  8 [size=\"145445547\", alpha=\"0.14\", expect_size=\"43633664\"] \n  9 [size=\"148247893\", alpha=\"0.01\", expect_size=\"44474368\"] \n  9 -> 11 [size =\"44474368\"]\n  9 -> 13 [size =\"44474368\"]\n  10 [size=\"54889813\", alpha=\"0.07\", expect_size=\"16466944\"] \n  10 -> 11 [size =\"16466944\"]\n  10 -> 12 [size =\"16466944\"]\n  10 -> 13 [size =\"16466944\"]\n  10 -> 14 [size =\"16466944\"]\n  11 [size=\"98447360\", alpha=\"0.19\", expect_size=\"29534208\"] \n  12 [size=\"102396587\", alpha=\"0.15\", expect_size=\"30718976\"] \n  13 [size=\"115425280\", alpha=\"0.13\", expect_size=\"34627584\"] \n  14 [size=\"142458880\", alpha=\"0.09\", expect_size=\"42737664\"] \n  15 [size=\"127122773\", alpha=\"0.07\", expect_size=\"38136832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165376000\", alpha=\"0.08\", expect_size=\"49612800\"] \n  1 -> 8 [size =\"49612800\"]\n  1 -> 11 [size =\"49612800\"]\n  2 [size=\"86562133\", alpha=\"0.13\", expect_size=\"25968640\"] \n  2 -> 8 [size =\"25968640\"]\n  2 -> 10 [size =\"25968640\"]\n  2 -> 11 [size =\"25968640\"]\n  2 -> 13 [size =\"25968640\"]\n  3 [size=\"96467627\", alpha=\"0.14\", expect_size=\"28940288\"] \n  3 -> 8 [size =\"28940288\"]\n  3 -> 14 [size =\"28940288\"]\n  3 -> 15 [size =\"28940288\"]\n  4 [size=\"92364800\", alpha=\"0.00\", expect_size=\"27709440\"] \n  4 -> 8 [size =\"27709440\"]\n  4 -> 12 [size =\"27709440\"]\n  5 [size=\"92091733\", alpha=\"0.02\", expect_size=\"27627520\"] \n  5 -> 10 [size =\"27627520\"]\n  5 -> 14 [size =\"27627520\"]\n  6 [size=\"76789760\", alpha=\"0.06\", expect_size=\"23036928\"] \n  6 -> 9 [size =\"23036928\"]\n  6 -> 14 [size =\"23036928\"]\n  6 -> 15 [size =\"23036928\"]\n  7 [size=\"116264960\", alpha=\"0.11\", expect_size=\"34879488\"] \n  7 -> 9 [size =\"34879488\"]\n  7 -> 11 [size =\"34879488\"]\n  7 -> 12 [size =\"34879488\"]\n  7 -> 14 [size =\"34879488\"]\n  8 [size=\"24238080\", alpha=\"0.13\", expect_size=\"7271424\"] \n  9 [size=\"54592853\", alpha=\"0.14\", expect_size=\"16377856\"] \n  10 [size=\"72239787\", alpha=\"0.15\", expect_size=\"21671936\"] \n  11 [size=\"166659413\", alpha=\"0.20\", expect_size=\"49997824\"] \n  12 [size=\"70696960\", alpha=\"0.20\", expect_size=\"21209088\"] \n  13 [size=\"18650453\", alpha=\"0.11\", expect_size=\"5595136\"] \n  14 [size=\"126607360\", alpha=\"0.13\", expect_size=\"37982208\"] \n  15 [size=\"126737067\", alpha=\"0.09\", expect_size=\"38021120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18370560\", alpha=\"0.15\", expect_size=\"7348224\"] \n  1 -> 11 [size =\"7348224\"]\n  1 -> 13 [size =\"7348224\"]\n  1 -> 14 [size =\"7348224\"]\n  1 -> 15 [size =\"7348224\"]\n  2 [size=\"116861440\", alpha=\"0.15\", expect_size=\"46744576\"] \n  2 -> 14 [size =\"46744576\"]\n  2 -> 15 [size =\"46744576\"]\n  3 [size=\"26255360\", alpha=\"0.04\", expect_size=\"10502144\"] \n  3 -> 10 [size =\"10502144\"]\n  3 -> 13 [size =\"10502144\"]\n  3 -> 14 [size =\"10502144\"]\n  3 -> 15 [size =\"10502144\"]\n  4 [size=\"107205120\", alpha=\"0.12\", expect_size=\"42882048\"] \n  4 -> 11 [size =\"42882048\"]\n  4 -> 14 [size =\"42882048\"]\n  4 -> 14 [size =\"42882048\"]\n  4 -> 15 [size =\"42882048\"]\n  5 [size=\"66749440\", alpha=\"0.19\", expect_size=\"26699776\"] \n  5 -> 13 [size =\"26699776\"]\n  5 -> 14 [size =\"26699776\"]\n  5 -> 15 [size =\"26699776\"]\n  6 [size=\"119513600\", alpha=\"0.12\", expect_size=\"47805440\"] \n  6 -> 12 [size =\"47805440\"]\n  6 -> 13 [size =\"47805440\"]\n  6 -> 15 [size =\"47805440\"]\n  7 [size=\"44751360\", alpha=\"0.09\", expect_size=\"17900544\"] \n  7 -> 10 [size =\"17900544\"]\n  7 -> 12 [size =\"17900544\"]\n  7 -> 14 [size =\"17900544\"]\n  8 [size=\"46087680\", alpha=\"0.02\", expect_size=\"18435072\"] \n  8 -> 12 [size =\"18435072\"]\n  9 [size=\"89617920\", alpha=\"0.08\", expect_size=\"35847168\"] \n  9 -> 10 [size =\"35847168\"]\n  9 -> 11 [size =\"35847168\"]\n  9 -> 13 [size =\"35847168\"]\n  10 [size=\"68244480\", alpha=\"0.12\", expect_size=\"27297792\"] \n  11 [size=\"118336000\", alpha=\"0.00\", expect_size=\"47334400\"] \n  12 [size=\"89541120\", alpha=\"0.05\", expect_size=\"35816448\"] \n  13 [size=\"60848640\", alpha=\"0.20\", expect_size=\"24339456\"] \n  14 [size=\"84748800\", alpha=\"0.08\", expect_size=\"33899520\"] \n  15 [size=\"37726720\", alpha=\"0.02\", expect_size=\"15090688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126438400\", alpha=\"0.15\", expect_size=\"50575360\"] \n  1 -> 5 [size =\"50575360\"]\n  2 [size=\"121310720\", alpha=\"0.03\", expect_size=\"48524288\"] \n  3 [size=\"96148480\", alpha=\"0.09\", expect_size=\"38459392\"] \n  3 -> 5 [size =\"38459392\"]\n  3 -> 6 [size =\"38459392\"]\n  4 [size=\"30156800\", alpha=\"0.19\", expect_size=\"12062720\"] \n  4 -> 6 [size =\"12062720\"]\n  5 [size=\"60646400\", alpha=\"0.09\", expect_size=\"24258560\"] \n  5 -> 7 [size =\"24258560\"]\n  6 [size=\"45396480\", alpha=\"0.01\", expect_size=\"18158592\"] \n  7 [size=\"63459840\", alpha=\"0.02\", expect_size=\"25383936\"] \n  7 -> 8 [size =\"25383936\"]\n  7 -> 9 [size =\"25383936\"]\n  7 -> 10 [size =\"25383936\"]\n  8 [size=\"25392640\", alpha=\"0.12\", expect_size=\"10157056\"] \n  8 -> 11 [size =\"10157056\"]\n  8 -> 13 [size =\"10157056\"]\n  9 [size=\"70730240\", alpha=\"0.18\", expect_size=\"28292096\"] \n  9 -> 12 [size =\"28292096\"]\n  10 [size=\"89003520\", alpha=\"0.10\", expect_size=\"35601408\"] \n  10 -> 11 [size =\"35601408\"]\n  10 -> 13 [size =\"35601408\"]\n  11 [size=\"68641280\", alpha=\"0.17\", expect_size=\"27456512\"] \n  11 -> 14 [size =\"27456512\"]\n  11 -> 15 [size =\"27456512\"]\n  12 [size=\"36800000\", alpha=\"0.02\", expect_size=\"14720000\"] \n  12 -> 15 [size =\"14720000\"]\n  13 [size=\"52231680\", alpha=\"0.06\", expect_size=\"20892672\"] \n  13 -> 14 [size =\"20892672\"]\n  14 [size=\"105233920\", alpha=\"0.12\", expect_size=\"42093568\"] \n  15 [size=\"98664960\", alpha=\"0.11\", expect_size=\"39465984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94131200\", alpha=\"0.17\", expect_size=\"37652480\"] \n  2 [size=\"23887360\", alpha=\"0.19\", expect_size=\"9554944\"] \n  2 -> 4 [size =\"9554944\"]\n  3 [size=\"73525760\", alpha=\"0.09\", expect_size=\"29410304\"] \n  4 [size=\"21404160\", alpha=\"0.20\", expect_size=\"8561664\"] \n  4 -> 5 [size =\"8561664\"]\n  4 -> 6 [size =\"8561664\"]\n  4 -> 7 [size =\"8561664\"]\n  5 [size=\"48148480\", alpha=\"0.02\", expect_size=\"19259392\"] \n  5 -> 8 [size =\"19259392\"]\n  5 -> 9 [size =\"19259392\"]\n  6 [size=\"118218240\", alpha=\"0.06\", expect_size=\"47287296\"] \n  6 -> 10 [size =\"47287296\"]\n  7 [size=\"59847680\", alpha=\"0.00\", expect_size=\"23939072\"] \n  8 [size=\"72890880\", alpha=\"0.05\", expect_size=\"29156352\"] \n  8 -> 11 [size =\"29156352\"]\n  9 [size=\"40683520\", alpha=\"0.07\", expect_size=\"16273408\"] \n  9 -> 12 [size =\"16273408\"]\n  9 -> 13 [size =\"16273408\"]\n  9 -> 14 [size =\"16273408\"]\n  10 [size=\"130562560\", alpha=\"0.07\", expect_size=\"52225024\"] \n  10 -> 12 [size =\"52225024\"]\n  11 [size=\"103544320\", alpha=\"0.06\", expect_size=\"41417728\"] \n  12 [size=\"85050880\", alpha=\"0.01\", expect_size=\"34020352\"] \n  13 [size=\"79989760\", alpha=\"0.17\", expect_size=\"31995904\"] \n  14 [size=\"13383680\", alpha=\"0.01\", expect_size=\"5353472\"] \n  14 -> 15 [size =\"5353472\"]\n  15 [size=\"128537600\", alpha=\"0.06\", expect_size=\"51415040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126515200\", alpha=\"0.04\", expect_size=\"37954560\"] \n  1 -> 4 [size =\"37954560\"]\n  2 [size=\"71645867\", alpha=\"0.05\", expect_size=\"21493760\"] \n  2 -> 5 [size =\"21493760\"]\n  3 [size=\"17629867\", alpha=\"0.14\", expect_size=\"5288960\"] \n  3 -> 4 [size =\"5288960\"]\n  4 [size=\"174336000\", alpha=\"0.02\", expect_size=\"52300800\"] \n  4 -> 6 [size =\"52300800\"]\n  4 -> 7 [size =\"52300800\"]\n  5 [size=\"103191893\", alpha=\"0.09\", expect_size=\"30957568\"] \n  5 -> 7 [size =\"30957568\"]\n  6 [size=\"21971627\", alpha=\"0.02\", expect_size=\"6591488\"] \n  6 -> 8 [size =\"6591488\"]\n  7 [size=\"133816320\", alpha=\"0.08\", expect_size=\"40144896\"] \n  7 -> 8 [size =\"40144896\"]\n  7 -> 9 [size =\"40144896\"]\n  8 [size=\"112650240\", alpha=\"0.03\", expect_size=\"33795072\"] \n  8 -> 10 [size =\"33795072\"]\n  9 [size=\"66983253\", alpha=\"0.07\", expect_size=\"20094976\"] \n  9 -> 11 [size =\"20094976\"]\n  10 [size=\"130829653\", alpha=\"0.19\", expect_size=\"39248896\"] \n  10 -> 12 [size =\"39248896\"]\n  10 -> 14 [size =\"39248896\"]\n  11 [size=\"49759573\", alpha=\"0.04\", expect_size=\"14927872\"] \n  11 -> 12 [size =\"14927872\"]\n  11 -> 13 [size =\"14927872\"]\n  11 -> 14 [size =\"14927872\"]\n  12 [size=\"80684373\", alpha=\"0.18\", expect_size=\"24205312\"] \n  13 [size=\"120401920\", alpha=\"0.04\", expect_size=\"36120576\"] \n  14 [size=\"74977280\", alpha=\"0.09\", expect_size=\"22493184\"] \n  14 -> 15 [size =\"22493184\"]\n  15 [size=\"93173760\", alpha=\"0.01\", expect_size=\"27952128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48746496\", alpha=\"0.19\", expect_size=\"24373248\"] \n  1 -> 6 [size =\"24373248\"]\n  2 [size=\"34707456\", alpha=\"0.16\", expect_size=\"17353728\"] \n  2 -> 5 [size =\"17353728\"]\n  2 -> 6 [size =\"17353728\"]\n  3 [size=\"86929408\", alpha=\"0.08\", expect_size=\"43464704\"] \n  3 -> 4 [size =\"43464704\"]\n  4 [size=\"103348224\", alpha=\"0.00\", expect_size=\"51674112\"] \n  4 -> 7 [size =\"51674112\"]\n  4 -> 8 [size =\"51674112\"]\n  4 -> 9 [size =\"51674112\"]\n  5 [size=\"74377216\", alpha=\"0.04\", expect_size=\"37188608\"] \n  5 -> 8 [size =\"37188608\"]\n  6 [size=\"104099840\", alpha=\"0.00\", expect_size=\"52049920\"] \n  6 -> 7 [size =\"52049920\"]\n  6 -> 9 [size =\"52049920\"]\n  7 [size=\"90386432\", alpha=\"0.09\", expect_size=\"45193216\"] \n  8 [size=\"47063040\", alpha=\"0.08\", expect_size=\"23531520\"] \n  8 -> 10 [size =\"23531520\"]\n  8 -> 11 [size =\"23531520\"]\n  9 [size=\"53319680\", alpha=\"0.06\", expect_size=\"26659840\"] \n  10 [size=\"40593408\", alpha=\"0.13\", expect_size=\"20296704\"] \n  10 -> 12 [size =\"20296704\"]\n  10 -> 13 [size =\"20296704\"]\n  11 [size=\"60428288\", alpha=\"0.14\", expect_size=\"30214144\"] \n  11 -> 12 [size =\"30214144\"]\n  11 -> 13 [size =\"30214144\"]\n  12 [size=\"55838720\", alpha=\"0.09\", expect_size=\"27919360\"] \n  12 -> 15 [size =\"27919360\"]\n  13 [size=\"34844672\", alpha=\"0.07\", expect_size=\"17422336\"] \n  13 -> 14 [size =\"17422336\"]\n  14 [size=\"73975808\", alpha=\"0.08\", expect_size=\"36987904\"] \n  15 [size=\"73979904\", alpha=\"0.20\", expect_size=\"36989952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51365888\", alpha=\"0.12\", expect_size=\"25682944\"] \n  1 -> 3 [size =\"25682944\"]\n  2 [size=\"21954560\", alpha=\"0.08\", expect_size=\"10977280\"] \n  2 -> 3 [size =\"10977280\"]\n  3 [size=\"49580032\", alpha=\"0.11\", expect_size=\"24790016\"] \n  3 -> 4 [size =\"24790016\"]\n  3 -> 5 [size =\"24790016\"]\n  4 [size=\"17762304\", alpha=\"0.18\", expect_size=\"8881152\"] \n  4 -> 6 [size =\"8881152\"]\n  4 -> 7 [size =\"8881152\"]\n  5 [size=\"21559296\", alpha=\"0.16\", expect_size=\"10779648\"] \n  5 -> 6 [size =\"10779648\"]\n  6 [size=\"41316352\", alpha=\"0.17\", expect_size=\"20658176\"] \n  6 -> 8 [size =\"20658176\"]\n  6 -> 9 [size =\"20658176\"]\n  7 [size=\"39192576\", alpha=\"0.01\", expect_size=\"19596288\"] \n  7 -> 8 [size =\"19596288\"]\n  7 -> 9 [size =\"19596288\"]\n  8 [size=\"78172160\", alpha=\"0.05\", expect_size=\"39086080\"] \n  8 -> 10 [size =\"39086080\"]\n  8 -> 11 [size =\"39086080\"]\n  9 [size=\"76025856\", alpha=\"0.00\", expect_size=\"38012928\"] \n  9 -> 10 [size =\"38012928\"]\n  9 -> 11 [size =\"38012928\"]\n  10 [size=\"43937792\", alpha=\"0.13\", expect_size=\"21968896\"] \n  10 -> 12 [size =\"21968896\"]\n  11 [size=\"97929216\", alpha=\"0.09\", expect_size=\"48964608\"] \n  11 -> 12 [size =\"48964608\"]\n  12 [size=\"61403136\", alpha=\"0.19\", expect_size=\"30701568\"] \n  12 -> 13 [size =\"30701568\"]\n  12 -> 14 [size =\"30701568\"]\n  13 [size=\"100249600\", alpha=\"0.08\", expect_size=\"50124800\"] \n  14 [size=\"57294848\", alpha=\"0.16\", expect_size=\"28647424\"] \n  14 -> 15 [size =\"28647424\"]\n  15 [size=\"46082048\", alpha=\"0.18\", expect_size=\"23041024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24192000\", alpha=\"0.02\", expect_size=\"9676800\"] \n  1 -> 10 [size =\"9676800\"]\n  1 -> 13 [size =\"9676800\"]\n  2 [size=\"54315520\", alpha=\"0.14\", expect_size=\"21726208\"] \n  2 -> 10 [size =\"21726208\"]\n  2 -> 13 [size =\"21726208\"]\n  3 [size=\"24337920\", alpha=\"0.19\", expect_size=\"9735168\"] \n  3 -> 13 [size =\"9735168\"]\n  4 [size=\"62090240\", alpha=\"0.18\", expect_size=\"24836096\"] \n  4 -> 8 [size =\"24836096\"]\n  4 -> 11 [size =\"24836096\"]\n  5 [size=\"110156800\", alpha=\"0.01\", expect_size=\"44062720\"] \n  5 -> 8 [size =\"44062720\"]\n  5 -> 10 [size =\"44062720\"]\n  6 [size=\"66245120\", alpha=\"0.10\", expect_size=\"26498048\"] \n  6 -> 9 [size =\"26498048\"]\n  6 -> 10 [size =\"26498048\"]\n  6 -> 11 [size =\"26498048\"]\n  6 -> 12 [size =\"26498048\"]\n  6 -> 13 [size =\"26498048\"]\n  7 [size=\"96860160\", alpha=\"0.00\", expect_size=\"38744064\"] \n  7 -> 9 [size =\"38744064\"]\n  7 -> 12 [size =\"38744064\"]\n  8 [size=\"44574720\", alpha=\"0.05\", expect_size=\"17829888\"] \n  8 -> 15 [size =\"17829888\"]\n  9 [size=\"92387840\", alpha=\"0.03\", expect_size=\"36955136\"] \n  10 [size=\"121797120\", alpha=\"0.14\", expect_size=\"48718848\"] \n  10 -> 14 [size =\"48718848\"]\n  11 [size=\"71874560\", alpha=\"0.16\", expect_size=\"28749824\"] \n  12 [size=\"83056640\", alpha=\"0.00\", expect_size=\"33222656\"] \n  12 -> 14 [size =\"33222656\"]\n  13 [size=\"44723200\", alpha=\"0.16\", expect_size=\"17889280\"] \n  14 [size=\"36139520\", alpha=\"0.09\", expect_size=\"14455808\"] \n  15 [size=\"22412800\", alpha=\"0.04\", expect_size=\"8965120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46035627\", alpha=\"0.19\", expect_size=\"13810688\"] \n  1 -> 9 [size =\"13810688\"]\n  1 -> 10 [size =\"13810688\"]\n  1 -> 12 [size =\"13810688\"]\n  1 -> 15 [size =\"13810688\"]\n  2 [size=\"101727573\", alpha=\"0.06\", expect_size=\"30518272\"] \n  2 -> 8 [size =\"30518272\"]\n  2 -> 10 [size =\"30518272\"]\n  3 [size=\"62283093\", alpha=\"0.06\", expect_size=\"18684928\"] \n  3 -> 8 [size =\"18684928\"]\n  3 -> 10 [size =\"18684928\"]\n  3 -> 12 [size =\"18684928\"]\n  3 -> 13 [size =\"18684928\"]\n  3 -> 14 [size =\"18684928\"]\n  3 -> 15 [size =\"18684928\"]\n  4 [size=\"56715947\", alpha=\"0.15\", expect_size=\"17014784\"] \n  4 -> 8 [size =\"17014784\"]\n  4 -> 9 [size =\"17014784\"]\n  4 -> 12 [size =\"17014784\"]\n  4 -> 14 [size =\"17014784\"]\n  4 -> 15 [size =\"17014784\"]\n  5 [size=\"153504427\", alpha=\"0.03\", expect_size=\"46051328\"] \n  5 -> 9 [size =\"46051328\"]\n  5 -> 15 [size =\"46051328\"]\n  6 [size=\"109684053\", alpha=\"0.11\", expect_size=\"32905216\"] \n  6 -> 8 [size =\"32905216\"]\n  6 -> 10 [size =\"32905216\"]\n  6 -> 11 [size =\"32905216\"]\n  7 [size=\"41403733\", alpha=\"0.18\", expect_size=\"12421120\"] \n  7 -> 10 [size =\"12421120\"]\n  7 -> 13 [size =\"12421120\"]\n  7 -> 15 [size =\"12421120\"]\n  8 [size=\"57036800\", alpha=\"0.08\", expect_size=\"17111040\"] \n  9 [size=\"47005013\", alpha=\"0.00\", expect_size=\"14101504\"] \n  10 [size=\"58292907\", alpha=\"0.01\", expect_size=\"17487872\"] \n  11 [size=\"40410453\", alpha=\"0.16\", expect_size=\"12123136\"] \n  12 [size=\"35669333\", alpha=\"0.07\", expect_size=\"10700800\"] \n  13 [size=\"83435520\", alpha=\"0.03\", expect_size=\"25030656\"] \n  14 [size=\"134410240\", alpha=\"0.07\", expect_size=\"40323072\"] \n  15 [size=\"92262400\", alpha=\"0.02\", expect_size=\"27678720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37969920\", alpha=\"0.18\", expect_size=\"18984960\"] \n  1 -> 4 [size =\"18984960\"]\n  1 -> 5 [size =\"18984960\"]\n  2 [size=\"51181568\", alpha=\"0.11\", expect_size=\"25590784\"] \n  2 -> 4 [size =\"25590784\"]\n  2 -> 5 [size =\"25590784\"]\n  3 [size=\"59293696\", alpha=\"0.07\", expect_size=\"29646848\"] \n  3 -> 4 [size =\"29646848\"]\n  3 -> 5 [size =\"29646848\"]\n  4 [size=\"72505344\", alpha=\"0.12\", expect_size=\"36252672\"] \n  4 -> 6 [size =\"36252672\"]\n  4 -> 7 [size =\"36252672\"]\n  5 [size=\"31102976\", alpha=\"0.16\", expect_size=\"15551488\"] \n  5 -> 6 [size =\"15551488\"]\n  5 -> 7 [size =\"15551488\"]\n  5 -> 8 [size =\"15551488\"]\n  6 [size=\"50214912\", alpha=\"0.20\", expect_size=\"25107456\"] \n  6 -> 11 [size =\"25107456\"]\n  6 -> 12 [size =\"25107456\"]\n  7 [size=\"74455040\", alpha=\"0.02\", expect_size=\"37227520\"] \n  7 -> 11 [size =\"37227520\"]\n  8 [size=\"52480000\", alpha=\"0.08\", expect_size=\"26240000\"] \n  8 -> 9 [size =\"26240000\"]\n  8 -> 10 [size =\"26240000\"]\n  9 [size=\"92981248\", alpha=\"0.12\", expect_size=\"46490624\"] \n  9 -> 13 [size =\"46490624\"]\n  9 -> 14 [size =\"46490624\"]\n  10 [size=\"72642560\", alpha=\"0.18\", expect_size=\"36321280\"] \n  11 [size=\"23060480\", alpha=\"0.06\", expect_size=\"11530240\"] \n  12 [size=\"12939264\", alpha=\"0.03\", expect_size=\"6469632\"] \n  13 [size=\"66705408\", alpha=\"0.10\", expect_size=\"33352704\"] \n  13 -> 15 [size =\"33352704\"]\n  14 [size=\"99168256\", alpha=\"0.19\", expect_size=\"49584128\"] \n  14 -> 15 [size =\"49584128\"]\n  15 [size=\"62369792\", alpha=\"0.17\", expect_size=\"31184896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56002560\", alpha=\"0.07\", expect_size=\"22401024\"] \n  1 -> 3 [size =\"22401024\"]\n  2 [size=\"65131520\", alpha=\"0.12\", expect_size=\"26052608\"] \n  3 [size=\"114237440\", alpha=\"0.12\", expect_size=\"45694976\"] \n  3 -> 4 [size =\"45694976\"]\n  4 [size=\"37568000\", alpha=\"0.01\", expect_size=\"15027200\"] \n  4 -> 5 [size =\"15027200\"]\n  5 [size=\"41095680\", alpha=\"0.03\", expect_size=\"16438272\"] \n  5 -> 6 [size =\"16438272\"]\n  6 [size=\"50421760\", alpha=\"0.07\", expect_size=\"20168704\"] \n  6 -> 7 [size =\"20168704\"]\n  6 -> 8 [size =\"20168704\"]\n  7 [size=\"118937600\", alpha=\"0.03\", expect_size=\"47575040\"] \n  7 -> 9 [size =\"47575040\"]\n  8 [size=\"115904000\", alpha=\"0.11\", expect_size=\"46361600\"] \n  8 -> 10 [size =\"46361600\"]\n  9 [size=\"118082560\", alpha=\"0.09\", expect_size=\"47233024\"] \n  9 -> 11 [size =\"47233024\"]\n  9 -> 12 [size =\"47233024\"]\n  10 [size=\"61480960\", alpha=\"0.09\", expect_size=\"24592384\"] \n  11 [size=\"15357440\", alpha=\"0.07\", expect_size=\"6142976\"] \n  11 -> 13 [size =\"6142976\"]\n  12 [size=\"54297600\", alpha=\"0.14\", expect_size=\"21719040\"] \n  13 [size=\"123770880\", alpha=\"0.07\", expect_size=\"49508352\"] \n  13 -> 14 [size =\"49508352\"]\n  13 -> 15 [size =\"49508352\"]\n  14 [size=\"78952960\", alpha=\"0.16\", expect_size=\"31581184\"] \n  15 [size=\"84584960\", alpha=\"0.01\", expect_size=\"33833984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31247360\", alpha=\"0.17\", expect_size=\"12498944\"] \n  1 -> 6 [size =\"12498944\"]\n  1 -> 10 [size =\"12498944\"]\n  2 [size=\"40985600\", alpha=\"0.02\", expect_size=\"16394240\"] \n  3 [size=\"104094720\", alpha=\"0.14\", expect_size=\"41637888\"] \n  3 -> 6 [size =\"41637888\"]\n  3 -> 7 [size =\"41637888\"]\n  3 -> 8 [size =\"41637888\"]\n  3 -> 9 [size =\"41637888\"]\n  3 -> 10 [size =\"41637888\"]\n  4 [size=\"86758400\", alpha=\"0.06\", expect_size=\"34703360\"] \n  4 -> 7 [size =\"34703360\"]\n  4 -> 9 [size =\"34703360\"]\n  4 -> 10 [size =\"34703360\"]\n  5 [size=\"130877440\", alpha=\"0.03\", expect_size=\"52350976\"] \n  5 -> 7 [size =\"52350976\"]\n  6 [size=\"130485760\", alpha=\"0.02\", expect_size=\"52194304\"] \n  6 -> 13 [size =\"52194304\"]\n  7 [size=\"88939520\", alpha=\"0.20\", expect_size=\"35575808\"] \n  7 -> 11 [size =\"35575808\"]\n  7 -> 15 [size =\"35575808\"]\n  8 [size=\"84200960\", alpha=\"0.09\", expect_size=\"33680384\"] \n  8 -> 11 [size =\"33680384\"]\n  8 -> 12 [size =\"33680384\"]\n  8 -> 14 [size =\"33680384\"]\n  9 [size=\"99842560\", alpha=\"0.13\", expect_size=\"39937024\"] \n  9 -> 12 [size =\"39937024\"]\n  9 -> 14 [size =\"39937024\"]\n  10 [size=\"54236160\", alpha=\"0.00\", expect_size=\"21694464\"] \n  10 -> 11 [size =\"21694464\"]\n  11 [size=\"112926720\", alpha=\"0.02\", expect_size=\"45170688\"] \n  12 [size=\"96509440\", alpha=\"0.03\", expect_size=\"38603776\"] \n  13 [size=\"110458880\", alpha=\"0.11\", expect_size=\"44183552\"] \n  14 [size=\"77608960\", alpha=\"0.01\", expect_size=\"31043584\"] \n  15 [size=\"114805760\", alpha=\"0.16\", expect_size=\"45922304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97339392\", alpha=\"0.04\", expect_size=\"48669696\"] \n  1 -> 2 [size =\"48669696\"]\n  2 [size=\"46753792\", alpha=\"0.15\", expect_size=\"23376896\"] \n  2 -> 3 [size =\"23376896\"]\n  3 [size=\"34473984\", alpha=\"0.14\", expect_size=\"17236992\"] \n  3 -> 4 [size =\"17236992\"]\n  4 [size=\"16596992\", alpha=\"0.07\", expect_size=\"8298496\"] \n  4 -> 5 [size =\"8298496\"]\n  5 [size=\"22663168\", alpha=\"0.05\", expect_size=\"11331584\"] \n  5 -> 6 [size =\"11331584\"]\n  6 [size=\"65529856\", alpha=\"0.19\", expect_size=\"32764928\"] \n  6 -> 7 [size =\"32764928\"]\n  7 [size=\"75202560\", alpha=\"0.18\", expect_size=\"37601280\"] \n  7 -> 8 [size =\"37601280\"]\n  8 [size=\"103710720\", alpha=\"0.01\", expect_size=\"51855360\"] \n  8 -> 9 [size =\"51855360\"]\n  9 [size=\"30930944\", alpha=\"0.19\", expect_size=\"15465472\"] \n  9 -> 10 [size =\"15465472\"]\n  10 [size=\"82356224\", alpha=\"0.12\", expect_size=\"41178112\"] \n  10 -> 11 [size =\"41178112\"]\n  11 [size=\"63315968\", alpha=\"0.14\", expect_size=\"31657984\"] \n  11 -> 12 [size =\"31657984\"]\n  12 [size=\"82311168\", alpha=\"0.11\", expect_size=\"41155584\"] \n  12 -> 13 [size =\"41155584\"]\n  13 [size=\"57055232\", alpha=\"0.12\", expect_size=\"28527616\"] \n  13 -> 14 [size =\"28527616\"]\n  14 [size=\"30853120\", alpha=\"0.07\", expect_size=\"15426560\"] \n  14 -> 15 [size =\"15426560\"]\n  15 [size=\"65611776\", alpha=\"0.02\", expect_size=\"32805888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61911040\", alpha=\"0.15\", expect_size=\"24764416\"] \n  1 -> 3 [size =\"24764416\"]\n  2 [size=\"41866240\", alpha=\"0.17\", expect_size=\"16746496\"] \n  2 -> 3 [size =\"16746496\"]\n  3 [size=\"64744960\", alpha=\"0.05\", expect_size=\"25897984\"] \n  3 -> 4 [size =\"25897984\"]\n  4 [size=\"32883200\", alpha=\"0.17\", expect_size=\"13153280\"] \n  4 -> 5 [size =\"13153280\"]\n  5 [size=\"124162560\", alpha=\"0.10\", expect_size=\"49665024\"] \n  5 -> 6 [size =\"49665024\"]\n  5 -> 7 [size =\"49665024\"]\n  6 [size=\"33991680\", alpha=\"0.00\", expect_size=\"13596672\"] \n  6 -> 8 [size =\"13596672\"]\n  7 [size=\"123310080\", alpha=\"0.06\", expect_size=\"49324032\"] \n  7 -> 8 [size =\"49324032\"]\n  8 [size=\"78566400\", alpha=\"0.10\", expect_size=\"31426560\"] \n  8 -> 9 [size =\"31426560\"]\n  9 [size=\"129802240\", alpha=\"0.15\", expect_size=\"51920896\"] \n  9 -> 10 [size =\"51920896\"]\n  9 -> 11 [size =\"51920896\"]\n  10 [size=\"33121280\", alpha=\"0.12\", expect_size=\"13248512\"] \n  10 -> 12 [size =\"13248512\"]\n  10 -> 13 [size =\"13248512\"]\n  11 [size=\"105059840\", alpha=\"0.09\", expect_size=\"42023936\"] \n  11 -> 12 [size =\"42023936\"]\n  11 -> 13 [size =\"42023936\"]\n  12 [size=\"73100800\", alpha=\"0.05\", expect_size=\"29240320\"] \n  12 -> 14 [size =\"29240320\"]\n  12 -> 15 [size =\"29240320\"]\n  13 [size=\"53742080\", alpha=\"0.09\", expect_size=\"21496832\"] \n  13 -> 14 [size =\"21496832\"]\n  13 -> 15 [size =\"21496832\"]\n  14 [size=\"85163520\", alpha=\"0.16\", expect_size=\"34065408\"] \n  15 [size=\"68341760\", alpha=\"0.15\", expect_size=\"27336704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21859840\", alpha=\"0.04\", expect_size=\"8743936\"] \n  1 -> 7 [size =\"8743936\"]\n  1 -> 8 [size =\"8743936\"]\n  1 -> 9 [size =\"8743936\"]\n  2 [size=\"119539200\", alpha=\"0.09\", expect_size=\"47815680\"] \n  2 -> 10 [size =\"47815680\"]\n  2 -> 11 [size =\"47815680\"]\n  3 [size=\"105021440\", alpha=\"0.14\", expect_size=\"42008576\"] \n  3 -> 7 [size =\"42008576\"]\n  3 -> 8 [size =\"42008576\"]\n  3 -> 9 [size =\"42008576\"]\n  3 -> 11 [size =\"42008576\"]\n  4 [size=\"16888320\", alpha=\"0.05\", expect_size=\"6755328\"] \n  4 -> 6 [size =\"6755328\"]\n  4 -> 7 [size =\"6755328\"]\n  5 [size=\"102289920\", alpha=\"0.05\", expect_size=\"40915968\"] \n  5 -> 12 [size =\"40915968\"]\n  5 -> 13 [size =\"40915968\"]\n  6 [size=\"90304000\", alpha=\"0.10\", expect_size=\"36121600\"] \n  6 -> 14 [size =\"36121600\"]\n  6 -> 15 [size =\"36121600\"]\n  7 [size=\"68367360\", alpha=\"0.04\", expect_size=\"27346944\"] \n  7 -> 15 [size =\"27346944\"]\n  8 [size=\"128778240\", alpha=\"0.04\", expect_size=\"51511296\"] \n  8 -> 14 [size =\"51511296\"]\n  9 [size=\"61294080\", alpha=\"0.00\", expect_size=\"24517632\"] \n  10 [size=\"77368320\", alpha=\"0.17\", expect_size=\"30947328\"] \n  11 [size=\"55285760\", alpha=\"0.01\", expect_size=\"22114304\"] \n  12 [size=\"77102080\", alpha=\"0.08\", expect_size=\"30840832\"] \n  13 [size=\"130199040\", alpha=\"0.16\", expect_size=\"52079616\"] \n  14 [size=\"93800960\", alpha=\"0.03\", expect_size=\"37520384\"] \n  15 [size=\"124840960\", alpha=\"0.19\", expect_size=\"49936384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95895552\", alpha=\"0.03\", expect_size=\"47947776\"] \n  1 -> 2 [size =\"47947776\"]\n  2 [size=\"73576448\", alpha=\"0.14\", expect_size=\"36788224\"] \n  2 -> 3 [size =\"36788224\"]\n  3 [size=\"74395648\", alpha=\"0.17\", expect_size=\"37197824\"] \n  3 -> 4 [size =\"37197824\"]\n  4 [size=\"97722368\", alpha=\"0.17\", expect_size=\"48861184\"] \n  4 -> 5 [size =\"48861184\"]\n  5 [size=\"25014272\", alpha=\"0.06\", expect_size=\"12507136\"] \n  5 -> 6 [size =\"12507136\"]\n  6 [size=\"22448128\", alpha=\"0.13\", expect_size=\"11224064\"] \n  6 -> 7 [size =\"11224064\"]\n  7 [size=\"38363136\", alpha=\"0.02\", expect_size=\"19181568\"] \n  7 -> 8 [size =\"19181568\"]\n  8 [size=\"94427136\", alpha=\"0.04\", expect_size=\"47213568\"] \n  8 -> 9 [size =\"47213568\"]\n  9 [size=\"80076800\", alpha=\"0.06\", expect_size=\"40038400\"] \n  9 -> 10 [size =\"40038400\"]\n  10 [size=\"14419968\", alpha=\"0.13\", expect_size=\"7209984\"] \n  10 -> 11 [size =\"7209984\"]\n  11 [size=\"49545216\", alpha=\"0.14\", expect_size=\"24772608\"] \n  11 -> 12 [size =\"24772608\"]\n  12 [size=\"62400512\", alpha=\"0.07\", expect_size=\"31200256\"] \n  12 -> 13 [size =\"31200256\"]\n  13 [size=\"35928064\", alpha=\"0.04\", expect_size=\"17964032\"] \n  13 -> 14 [size =\"17964032\"]\n  14 [size=\"20234240\", alpha=\"0.01\", expect_size=\"10117120\"] \n  14 -> 15 [size =\"10117120\"]\n  15 [size=\"99753984\", alpha=\"0.04\", expect_size=\"49876992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105039360\", alpha=\"0.07\", expect_size=\"42015744\"] \n  1 -> 3 [size =\"42015744\"]\n  2 [size=\"114398720\", alpha=\"0.01\", expect_size=\"45759488\"] \n  2 -> 4 [size =\"45759488\"]\n  3 [size=\"24783360\", alpha=\"0.02\", expect_size=\"9913344\"] \n  3 -> 6 [size =\"9913344\"]\n  4 [size=\"54853120\", alpha=\"0.10\", expect_size=\"21941248\"] \n  4 -> 5 [size =\"21941248\"]\n  5 [size=\"114639360\", alpha=\"0.01\", expect_size=\"45855744\"] \n  5 -> 7 [size =\"45855744\"]\n  6 [size=\"63196160\", alpha=\"0.10\", expect_size=\"25278464\"] \n  6 -> 7 [size =\"25278464\"]\n  6 -> 8 [size =\"25278464\"]\n  6 -> 9 [size =\"25278464\"]\n  7 [size=\"94103040\", alpha=\"0.06\", expect_size=\"37641216\"] \n  8 [size=\"45649920\", alpha=\"0.17\", expect_size=\"18259968\"] \n  8 -> 11 [size =\"18259968\"]\n  9 [size=\"95559680\", alpha=\"0.03\", expect_size=\"38223872\"] \n  9 -> 10 [size =\"38223872\"]\n  10 [size=\"41530880\", alpha=\"0.14\", expect_size=\"16612352\"] \n  10 -> 12 [size =\"16612352\"]\n  11 [size=\"65297920\", alpha=\"0.01\", expect_size=\"26119168\"] \n  11 -> 12 [size =\"26119168\"]\n  11 -> 13 [size =\"26119168\"]\n  11 -> 14 [size =\"26119168\"]\n  12 [size=\"107717120\", alpha=\"0.12\", expect_size=\"43086848\"] \n  13 [size=\"113297920\", alpha=\"0.17\", expect_size=\"45319168\"] \n  13 -> 15 [size =\"45319168\"]\n  14 [size=\"127552000\", alpha=\"0.12\", expect_size=\"51020800\"] \n  15 [size=\"67440640\", alpha=\"0.07\", expect_size=\"26976256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121141760\", alpha=\"0.11\", expect_size=\"48456704\"] \n  1 -> 15 [size =\"48456704\"]\n  2 [size=\"27729920\", alpha=\"0.09\", expect_size=\"11091968\"] \n  2 -> 11 [size =\"11091968\"]\n  2 -> 12 [size =\"11091968\"]\n  2 -> 15 [size =\"11091968\"]\n  3 [size=\"78937600\", alpha=\"0.19\", expect_size=\"31575040\"] \n  3 -> 11 [size =\"31575040\"]\n  3 -> 12 [size =\"31575040\"]\n  3 -> 15 [size =\"31575040\"]\n  4 [size=\"14502400\", alpha=\"0.19\", expect_size=\"5800960\"] \n  4 -> 15 [size =\"5800960\"]\n  5 [size=\"41710080\", alpha=\"0.13\", expect_size=\"16684032\"] \n  5 -> 11 [size =\"16684032\"]\n  5 -> 12 [size =\"16684032\"]\n  5 -> 13 [size =\"16684032\"]\n  5 -> 15 [size =\"16684032\"]\n  6 [size=\"105162240\", alpha=\"0.16\", expect_size=\"42064896\"] \n  6 -> 13 [size =\"42064896\"]\n  6 -> 14 [size =\"42064896\"]\n  6 -> 15 [size =\"42064896\"]\n  7 [size=\"90795520\", alpha=\"0.05\", expect_size=\"36318208\"] \n  7 -> 15 [size =\"36318208\"]\n  8 [size=\"64936960\", alpha=\"0.02\", expect_size=\"25974784\"] \n  9 [size=\"85662720\", alpha=\"0.16\", expect_size=\"34265088\"] \n  10 [size=\"29841920\", alpha=\"0.17\", expect_size=\"11936768\"] \n  10 -> 12 [size =\"11936768\"]\n  10 -> 13 [size =\"11936768\"]\n  11 [size=\"108500480\", alpha=\"0.01\", expect_size=\"43400192\"] \n  12 [size=\"54599680\", alpha=\"0.04\", expect_size=\"21839872\"] \n  13 [size=\"105333760\", alpha=\"0.13\", expect_size=\"42133504\"] \n  14 [size=\"99640320\", alpha=\"0.19\", expect_size=\"39856128\"] \n  15 [size=\"93841920\", alpha=\"0.13\", expect_size=\"37536768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111370240\", alpha=\"0.06\", expect_size=\"33411072\"] \n  1 -> 2 [size =\"33411072\"]\n  2 [size=\"163744427\", alpha=\"0.06\", expect_size=\"49123328\"] \n  2 -> 3 [size =\"49123328\"]\n  3 [size=\"125716480\", alpha=\"0.14\", expect_size=\"37714944\"] \n  3 -> 4 [size =\"37714944\"]\n  4 [size=\"159307093\", alpha=\"0.11\", expect_size=\"47792128\"] \n  4 -> 5 [size =\"47792128\"]\n  5 [size=\"47854933\", alpha=\"0.05\", expect_size=\"14356480\"] \n  5 -> 6 [size =\"14356480\"]\n  6 [size=\"97870507\", alpha=\"0.15\", expect_size=\"29361152\"] \n  6 -> 7 [size =\"29361152\"]\n  7 [size=\"22801067\", alpha=\"0.04\", expect_size=\"6840320\"] \n  7 -> 8 [size =\"6840320\"]\n  8 [size=\"33385813\", alpha=\"0.14\", expect_size=\"10015744\"] \n  8 -> 9 [size =\"10015744\"]\n  9 [size=\"60258987\", alpha=\"0.13\", expect_size=\"18077696\"] \n  9 -> 10 [size =\"18077696\"]\n  10 [size=\"113353387\", alpha=\"0.05\", expect_size=\"34006016\"] \n  10 -> 11 [size =\"34006016\"]\n  11 [size=\"70526293\", alpha=\"0.05\", expect_size=\"21157888\"] \n  11 -> 12 [size =\"21157888\"]\n  12 [size=\"119449600\", alpha=\"0.08\", expect_size=\"35834880\"] \n  12 -> 13 [size =\"35834880\"]\n  13 [size=\"167509333\", alpha=\"0.11\", expect_size=\"50252800\"] \n  13 -> 14 [size =\"50252800\"]\n  14 [size=\"117811200\", alpha=\"0.12\", expect_size=\"35343360\"] \n  14 -> 15 [size =\"35343360\"]\n  15 [size=\"45018453\", alpha=\"0.02\", expect_size=\"13505536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56762368\", alpha=\"0.19\", expect_size=\"28381184\"] \n  1 -> 3 [size =\"28381184\"]\n  2 [size=\"72691712\", alpha=\"0.00\", expect_size=\"36345856\"] \n  3 [size=\"47491072\", alpha=\"0.06\", expect_size=\"23745536\"] \n  3 -> 4 [size =\"23745536\"]\n  4 [size=\"101498880\", alpha=\"0.06\", expect_size=\"50749440\"] \n  4 -> 5 [size =\"50749440\"]\n  5 [size=\"63961088\", alpha=\"0.17\", expect_size=\"31980544\"] \n  5 -> 6 [size =\"31980544\"]\n  5 -> 7 [size =\"31980544\"]\n  6 [size=\"59082752\", alpha=\"0.12\", expect_size=\"29541376\"] \n  7 [size=\"74541056\", alpha=\"0.15\", expect_size=\"37270528\"] \n  7 -> 8 [size =\"37270528\"]\n  8 [size=\"73465856\", alpha=\"0.17\", expect_size=\"36732928\"] \n  8 -> 9 [size =\"36732928\"]\n  9 [size=\"25927680\", alpha=\"0.18\", expect_size=\"12963840\"] \n  9 -> 10 [size =\"12963840\"]\n  9 -> 11 [size =\"12963840\"]\n  10 [size=\"32526336\", alpha=\"0.13\", expect_size=\"16263168\"] \n  10 -> 12 [size =\"16263168\"]\n  11 [size=\"12597248\", alpha=\"0.06\", expect_size=\"6298624\"] \n  11 -> 13 [size =\"6298624\"]\n  12 [size=\"101457920\", alpha=\"0.11\", expect_size=\"50728960\"] \n  12 -> 15 [size =\"50728960\"]\n  13 [size=\"102920192\", alpha=\"0.17\", expect_size=\"51460096\"] \n  13 -> 14 [size =\"51460096\"]\n  14 [size=\"38326272\", alpha=\"0.06\", expect_size=\"19163136\"] \n  15 [size=\"66224128\", alpha=\"0.05\", expect_size=\"33112064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52049920\", alpha=\"0.08\", expect_size=\"26024960\"] \n  1 -> 2 [size =\"26024960\"]\n  2 [size=\"77387776\", alpha=\"0.02\", expect_size=\"38693888\"] \n  2 -> 3 [size =\"38693888\"]\n  3 [size=\"96610304\", alpha=\"0.04\", expect_size=\"48305152\"] \n  3 -> 4 [size =\"48305152\"]\n  4 [size=\"41566208\", alpha=\"0.18\", expect_size=\"20783104\"] \n  4 -> 5 [size =\"20783104\"]\n  5 [size=\"56391680\", alpha=\"0.11\", expect_size=\"28195840\"] \n  5 -> 6 [size =\"28195840\"]\n  6 [size=\"56639488\", alpha=\"0.14\", expect_size=\"28319744\"] \n  6 -> 7 [size =\"28319744\"]\n  7 [size=\"78940160\", alpha=\"0.17\", expect_size=\"39470080\"] \n  7 -> 8 [size =\"39470080\"]\n  8 [size=\"27449344\", alpha=\"0.01\", expect_size=\"13724672\"] \n  8 -> 9 [size =\"13724672\"]\n  9 [size=\"17780736\", alpha=\"0.11\", expect_size=\"8890368\"] \n  9 -> 10 [size =\"8890368\"]\n  10 [size=\"16932864\", alpha=\"0.07\", expect_size=\"8466432\"] \n  10 -> 11 [size =\"8466432\"]\n  11 [size=\"35940352\", alpha=\"0.02\", expect_size=\"17970176\"] \n  11 -> 12 [size =\"17970176\"]\n  12 [size=\"71526400\", alpha=\"0.18\", expect_size=\"35763200\"] \n  12 -> 13 [size =\"35763200\"]\n  13 [size=\"81530880\", alpha=\"0.18\", expect_size=\"40765440\"] \n  13 -> 14 [size =\"40765440\"]\n  14 [size=\"98699264\", alpha=\"0.18\", expect_size=\"49349632\"] \n  14 -> 15 [size =\"49349632\"]\n  15 [size=\"88557568\", alpha=\"0.15\", expect_size=\"44278784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61979307\", alpha=\"0.18\", expect_size=\"18593792\"] \n  1 -> 8 [size =\"18593792\"]\n  1 -> 9 [size =\"18593792\"]\n  1 -> 11 [size =\"18593792\"]\n  1 -> 12 [size =\"18593792\"]\n  2 [size=\"99481600\", alpha=\"0.00\", expect_size=\"29844480\"] \n  2 -> 8 [size =\"29844480\"]\n  2 -> 9 [size =\"29844480\"]\n  2 -> 12 [size =\"29844480\"]\n  2 -> 13 [size =\"29844480\"]\n  2 -> 14 [size =\"29844480\"]\n  3 [size=\"38912000\", alpha=\"0.16\", expect_size=\"11673600\"] \n  3 -> 9 [size =\"11673600\"]\n  3 -> 11 [size =\"11673600\"]\n  3 -> 12 [size =\"11673600\"]\n  3 -> 14 [size =\"11673600\"]\n  3 -> 14 [size =\"11673600\"]\n  4 [size=\"105134080\", alpha=\"0.04\", expect_size=\"31540224\"] \n  4 -> 8 [size =\"31540224\"]\n  4 -> 10 [size =\"31540224\"]\n  4 -> 12 [size =\"31540224\"]\n  4 -> 14 [size =\"31540224\"]\n  5 [size=\"153784320\", alpha=\"0.18\", expect_size=\"46135296\"] \n  5 -> 10 [size =\"46135296\"]\n  5 -> 11 [size =\"46135296\"]\n  5 -> 12 [size =\"46135296\"]\n  5 -> 13 [size =\"46135296\"]\n  5 -> 14 [size =\"46135296\"]\n  6 [size=\"33792000\", alpha=\"0.15\", expect_size=\"10137600\"] \n  6 -> 8 [size =\"10137600\"]\n  6 -> 9 [size =\"10137600\"]\n  6 -> 10 [size =\"10137600\"]\n  6 -> 11 [size =\"10137600\"]\n  6 -> 14 [size =\"10137600\"]\n  7 [size=\"22377813\", alpha=\"0.09\", expect_size=\"6713344\"] \n  7 -> 9 [size =\"6713344\"]\n  7 -> 10 [size =\"6713344\"]\n  7 -> 10 [size =\"6713344\"]\n  7 -> 14 [size =\"6713344\"]\n  8 [size=\"64778240\", alpha=\"0.17\", expect_size=\"19433472\"] \n  8 -> 15 [size =\"19433472\"]\n  9 [size=\"157794987\", alpha=\"0.04\", expect_size=\"47338496\"] \n  9 -> 15 [size =\"47338496\"]\n  10 [size=\"55033173\", alpha=\"0.03\", expect_size=\"16509952\"] \n  10 -> 15 [size =\"16509952\"]\n  11 [size=\"109325653\", alpha=\"0.04\", expect_size=\"32797696\"] \n  12 [size=\"93651627\", alpha=\"0.00\", expect_size=\"28095488\"] \n  13 [size=\"95815680\", alpha=\"0.11\", expect_size=\"28744704\"] \n  14 [size=\"67686400\", alpha=\"0.18\", expect_size=\"20305920\"] \n  14 -> 15 [size =\"20305920\"]\n  15 [size=\"97935360\", alpha=\"0.11\", expect_size=\"29380608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84046507\", alpha=\"0.07\", expect_size=\"25213952\"] \n  1 -> 7 [size =\"25213952\"]\n  1 -> 8 [size =\"25213952\"]\n  1 -> 9 [size =\"25213952\"]\n  1 -> 10 [size =\"25213952\"]\n  2 [size=\"134417067\", alpha=\"0.13\", expect_size=\"40325120\"] \n  2 -> 6 [size =\"40325120\"]\n  2 -> 7 [size =\"40325120\"]\n  2 -> 8 [size =\"40325120\"]\n  3 [size=\"65563307\", alpha=\"0.13\", expect_size=\"19668992\"] \n  3 -> 6 [size =\"19668992\"]\n  4 [size=\"74110293\", alpha=\"0.04\", expect_size=\"22233088\"] \n  4 -> 10 [size =\"22233088\"]\n  5 [size=\"141120853\", alpha=\"0.09\", expect_size=\"42336256\"] \n  5 -> 7 [size =\"42336256\"]\n  5 -> 8 [size =\"42336256\"]\n  5 -> 9 [size =\"42336256\"]\n  5 -> 10 [size =\"42336256\"]\n  6 [size=\"173277867\", alpha=\"0.18\", expect_size=\"51983360\"] \n  6 -> 11 [size =\"51983360\"]\n  6 -> 12 [size =\"51983360\"]\n  6 -> 13 [size =\"51983360\"]\n  6 -> 15 [size =\"51983360\"]\n  7 [size=\"39536640\", alpha=\"0.14\", expect_size=\"11860992\"] \n  7 -> 11 [size =\"11860992\"]\n  7 -> 13 [size =\"11860992\"]\n  8 [size=\"58501120\", alpha=\"0.15\", expect_size=\"17550336\"] \n  8 -> 15 [size =\"17550336\"]\n  9 [size=\"62208000\", alpha=\"0.07\", expect_size=\"18662400\"] \n  9 -> 12 [size =\"18662400\"]\n  9 -> 14 [size =\"18662400\"]\n  10 [size=\"170448213\", alpha=\"0.13\", expect_size=\"51134464\"] \n  10 -> 12 [size =\"51134464\"]\n  10 -> 14 [size =\"51134464\"]\n  10 -> 15 [size =\"51134464\"]\n  11 [size=\"84101120\", alpha=\"0.01\", expect_size=\"25230336\"] \n  12 [size=\"138004480\", alpha=\"0.18\", expect_size=\"41401344\"] \n  13 [size=\"79131307\", alpha=\"0.10\", expect_size=\"23739392\"] \n  14 [size=\"23476907\", alpha=\"0.09\", expect_size=\"7043072\"] \n  15 [size=\"51329707\", alpha=\"0.19\", expect_size=\"15398912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101386240\", alpha=\"0.19\", expect_size=\"50693120\"] \n  1 -> 3 [size =\"50693120\"]\n  2 [size=\"24514560\", alpha=\"0.13\", expect_size=\"12257280\"] \n  2 -> 4 [size =\"12257280\"]\n  3 [size=\"28301312\", alpha=\"0.09\", expect_size=\"14150656\"] \n  3 -> 6 [size =\"14150656\"]\n  4 [size=\"91398144\", alpha=\"0.11\", expect_size=\"45699072\"] \n  4 -> 5 [size =\"45699072\"]\n  5 [size=\"31760384\", alpha=\"0.18\", expect_size=\"15880192\"] \n  5 -> 8 [size =\"15880192\"]\n  6 [size=\"28633088\", alpha=\"0.03\", expect_size=\"14316544\"] \n  6 -> 7 [size =\"14316544\"]\n  6 -> 8 [size =\"14316544\"]\n  7 [size=\"23908352\", alpha=\"0.08\", expect_size=\"11954176\"] \n  7 -> 9 [size =\"11954176\"]\n  8 [size=\"26042368\", alpha=\"0.01\", expect_size=\"13021184\"] \n  8 -> 9 [size =\"13021184\"]\n  9 [size=\"77780992\", alpha=\"0.06\", expect_size=\"38890496\"] \n  9 -> 10 [size =\"38890496\"]\n  10 [size=\"103692288\", alpha=\"0.05\", expect_size=\"51846144\"] \n  10 -> 11 [size =\"51846144\"]\n  11 [size=\"77721600\", alpha=\"0.16\", expect_size=\"38860800\"] \n  11 -> 12 [size =\"38860800\"]\n  11 -> 13 [size =\"38860800\"]\n  12 [size=\"73529344\", alpha=\"0.18\", expect_size=\"36764672\"] \n  12 -> 14 [size =\"36764672\"]\n  12 -> 15 [size =\"36764672\"]\n  13 [size=\"39825408\", alpha=\"0.05\", expect_size=\"19912704\"] \n  13 -> 15 [size =\"19912704\"]\n  14 [size=\"82558976\", alpha=\"0.20\", expect_size=\"41279488\"] \n  15 [size=\"38039552\", alpha=\"0.14\", expect_size=\"19019776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76587008\", alpha=\"0.14\", expect_size=\"38293504\"] \n  1 -> 7 [size =\"38293504\"]\n  1 -> 10 [size =\"38293504\"]\n  2 [size=\"75028480\", alpha=\"0.07\", expect_size=\"37514240\"] \n  2 -> 9 [size =\"37514240\"]\n  3 [size=\"70912000\", alpha=\"0.16\", expect_size=\"35456000\"] \n  3 -> 8 [size =\"35456000\"]\n  4 [size=\"53952512\", alpha=\"0.13\", expect_size=\"26976256\"] \n  4 -> 6 [size =\"26976256\"]\n  4 -> 9 [size =\"26976256\"]\n  5 [size=\"68923392\", alpha=\"0.20\", expect_size=\"34461696\"] \n  5 -> 6 [size =\"34461696\"]\n  5 -> 7 [size =\"34461696\"]\n  5 -> 9 [size =\"34461696\"]\n  6 [size=\"34764800\", alpha=\"0.04\", expect_size=\"17382400\"] \n  6 -> 11 [size =\"17382400\"]\n  6 -> 12 [size =\"17382400\"]\n  6 -> 13 [size =\"17382400\"]\n  6 -> 14 [size =\"17382400\"]\n  7 [size=\"43515904\", alpha=\"0.03\", expect_size=\"21757952\"] \n  7 -> 11 [size =\"21757952\"]\n  8 [size=\"73779200\", alpha=\"0.01\", expect_size=\"36889600\"] \n  8 -> 11 [size =\"36889600\"]\n  8 -> 14 [size =\"36889600\"]\n  8 -> 15 [size =\"36889600\"]\n  9 [size=\"62959616\", alpha=\"0.01\", expect_size=\"31479808\"] \n  9 -> 12 [size =\"31479808\"]\n  9 -> 15 [size =\"31479808\"]\n  10 [size=\"97671168\", alpha=\"0.10\", expect_size=\"48835584\"] \n  10 -> 12 [size =\"48835584\"]\n  10 -> 13 [size =\"48835584\"]\n  10 -> 14 [size =\"48835584\"]\n  10 -> 15 [size =\"48835584\"]\n  11 [size=\"18239488\", alpha=\"0.03\", expect_size=\"9119744\"] \n  12 [size=\"86358016\", alpha=\"0.14\", expect_size=\"43179008\"] \n  13 [size=\"24287232\", alpha=\"0.16\", expect_size=\"12143616\"] \n  14 [size=\"98555904\", alpha=\"0.19\", expect_size=\"49277952\"] \n  15 [size=\"64104448\", alpha=\"0.14\", expect_size=\"32052224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67674112\", alpha=\"0.05\", expect_size=\"33837056\"] \n  1 -> 3 [size =\"33837056\"]\n  2 [size=\"37130240\", alpha=\"0.01\", expect_size=\"18565120\"] \n  3 [size=\"64575488\", alpha=\"0.03\", expect_size=\"32287744\"] \n  3 -> 4 [size =\"32287744\"]\n  3 -> 5 [size =\"32287744\"]\n  4 [size=\"48992256\", alpha=\"0.19\", expect_size=\"24496128\"] \n  5 [size=\"57827328\", alpha=\"0.02\", expect_size=\"28913664\"] \n  5 -> 6 [size =\"28913664\"]\n  6 [size=\"82907136\", alpha=\"0.19\", expect_size=\"41453568\"] \n  6 -> 7 [size =\"41453568\"]\n  6 -> 8 [size =\"41453568\"]\n  7 [size=\"84963328\", alpha=\"0.13\", expect_size=\"42481664\"] \n  7 -> 9 [size =\"42481664\"]\n  7 -> 10 [size =\"42481664\"]\n  8 [size=\"64954368\", alpha=\"0.08\", expect_size=\"32477184\"] \n  8 -> 9 [size =\"32477184\"]\n  8 -> 10 [size =\"32477184\"]\n  9 [size=\"96684032\", alpha=\"0.01\", expect_size=\"48342016\"] \n  9 -> 11 [size =\"48342016\"]\n  10 [size=\"40122368\", alpha=\"0.00\", expect_size=\"20061184\"] \n  10 -> 11 [size =\"20061184\"]\n  11 [size=\"68747264\", alpha=\"0.02\", expect_size=\"34373632\"] \n  11 -> 12 [size =\"34373632\"]\n  12 [size=\"92882944\", alpha=\"0.15\", expect_size=\"46441472\"] \n  12 -> 13 [size =\"46441472\"]\n  12 -> 14 [size =\"46441472\"]\n  13 [size=\"95692800\", alpha=\"0.05\", expect_size=\"47846400\"] \n  13 -> 15 [size =\"47846400\"]\n  14 [size=\"13934592\", alpha=\"0.02\", expect_size=\"6967296\"] \n  14 -> 15 [size =\"6967296\"]\n  15 [size=\"103294976\", alpha=\"0.19\", expect_size=\"51647488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85770240\", alpha=\"0.18\", expect_size=\"25731072\"] \n  1 -> 2 [size =\"25731072\"]\n  1 -> 3 [size =\"25731072\"]\n  2 [size=\"33344853\", alpha=\"0.19\", expect_size=\"10003456\"] \n  2 -> 4 [size =\"10003456\"]\n  3 [size=\"103697067\", alpha=\"0.15\", expect_size=\"31109120\"] \n  3 -> 4 [size =\"31109120\"]\n  4 [size=\"91992747\", alpha=\"0.08\", expect_size=\"27597824\"] \n  4 -> 5 [size =\"27597824\"]\n  5 [size=\"38574080\", alpha=\"0.05\", expect_size=\"11572224\"] \n  5 -> 6 [size =\"11572224\"]\n  6 [size=\"81588907\", alpha=\"0.20\", expect_size=\"24476672\"] \n  6 -> 7 [size =\"24476672\"]\n  7 [size=\"144913067\", alpha=\"0.20\", expect_size=\"43473920\"] \n  7 -> 8 [size =\"43473920\"]\n  7 -> 9 [size =\"43473920\"]\n  8 [size=\"82786987\", alpha=\"0.10\", expect_size=\"24836096\"] \n  8 -> 10 [size =\"24836096\"]\n  8 -> 11 [size =\"24836096\"]\n  9 [size=\"139246933\", alpha=\"0.02\", expect_size=\"41774080\"] \n  9 -> 10 [size =\"41774080\"]\n  9 -> 11 [size =\"41774080\"]\n  10 [size=\"99075413\", alpha=\"0.02\", expect_size=\"29722624\"] \n  10 -> 12 [size =\"29722624\"]\n  11 [size=\"119070720\", alpha=\"0.13\", expect_size=\"35721216\"] \n  12 [size=\"101601280\", alpha=\"0.02\", expect_size=\"30480384\"] \n  12 -> 13 [size =\"30480384\"]\n  12 -> 14 [size =\"30480384\"]\n  13 [size=\"92248747\", alpha=\"0.13\", expect_size=\"27674624\"] \n  13 -> 15 [size =\"27674624\"]\n  14 [size=\"50937173\", alpha=\"0.04\", expect_size=\"15281152\"] \n  14 -> 15 [size =\"15281152\"]\n  15 [size=\"116165973\", alpha=\"0.16\", expect_size=\"34849792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42203136\", alpha=\"0.14\", expect_size=\"21101568\"] \n  1 -> 2 [size =\"21101568\"]\n  1 -> 3 [size =\"21101568\"]\n  2 [size=\"34617344\", alpha=\"0.04\", expect_size=\"17308672\"] \n  2 -> 4 [size =\"17308672\"]\n  3 [size=\"37326848\", alpha=\"0.04\", expect_size=\"18663424\"] \n  3 -> 4 [size =\"18663424\"]\n  4 [size=\"43005952\", alpha=\"0.16\", expect_size=\"21502976\"] \n  4 -> 5 [size =\"21502976\"]\n  4 -> 6 [size =\"21502976\"]\n  5 [size=\"75988992\", alpha=\"0.03\", expect_size=\"37994496\"] \n  6 [size=\"80590848\", alpha=\"0.09\", expect_size=\"40295424\"] \n  6 -> 7 [size =\"40295424\"]\n  6 -> 8 [size =\"40295424\"]\n  7 [size=\"59740160\", alpha=\"0.12\", expect_size=\"29870080\"] \n  8 [size=\"42366976\", alpha=\"0.05\", expect_size=\"21183488\"] \n  8 -> 9 [size =\"21183488\"]\n  8 -> 10 [size =\"21183488\"]\n  9 [size=\"103276544\", alpha=\"0.14\", expect_size=\"51638272\"] \n  9 -> 11 [size =\"51638272\"]\n  10 [size=\"43327488\", alpha=\"0.14\", expect_size=\"21663744\"] \n  10 -> 11 [size =\"21663744\"]\n  11 [size=\"78446592\", alpha=\"0.01\", expect_size=\"39223296\"] \n  11 -> 12 [size =\"39223296\"]\n  12 [size=\"49764352\", alpha=\"0.02\", expect_size=\"24882176\"] \n  12 -> 13 [size =\"24882176\"]\n  13 [size=\"69535744\", alpha=\"0.19\", expect_size=\"34767872\"] \n  13 -> 14 [size =\"34767872\"]\n  14 [size=\"86099968\", alpha=\"0.12\", expect_size=\"43049984\"] \n  14 -> 15 [size =\"43049984\"]\n  15 [size=\"69103616\", alpha=\"0.02\", expect_size=\"34551808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150770347\", alpha=\"0.13\", expect_size=\"45231104\"] \n  1 -> 4 [size =\"45231104\"]\n  1 -> 6 [size =\"45231104\"]\n  2 [size=\"118947840\", alpha=\"0.15\", expect_size=\"35684352\"] \n  3 [size=\"74827093\", alpha=\"0.12\", expect_size=\"22448128\"] \n  3 -> 4 [size =\"22448128\"]\n  3 -> 5 [size =\"22448128\"]\n  4 [size=\"76062720\", alpha=\"0.02\", expect_size=\"22818816\"] \n  4 -> 7 [size =\"22818816\"]\n  4 -> 8 [size =\"22818816\"]\n  4 -> 9 [size =\"22818816\"]\n  5 [size=\"82193067\", alpha=\"0.12\", expect_size=\"24657920\"] \n  6 [size=\"122791253\", alpha=\"0.08\", expect_size=\"36837376\"] \n  6 -> 7 [size =\"36837376\"]\n  6 -> 8 [size =\"36837376\"]\n  6 -> 9 [size =\"36837376\"]\n  7 [size=\"24029867\", alpha=\"0.07\", expect_size=\"7208960\"] \n  7 -> 11 [size =\"7208960\"]\n  8 [size=\"52319573\", alpha=\"0.09\", expect_size=\"15695872\"] \n  8 -> 11 [size =\"15695872\"]\n  9 [size=\"113653760\", alpha=\"0.07\", expect_size=\"34096128\"] \n  9 -> 10 [size =\"34096128\"]\n  10 [size=\"109407573\", alpha=\"0.12\", expect_size=\"32822272\"] \n  10 -> 13 [size =\"32822272\"]\n  11 [size=\"37922133\", alpha=\"0.09\", expect_size=\"11376640\"] \n  11 -> 12 [size =\"11376640\"]\n  12 [size=\"143947093\", alpha=\"0.12\", expect_size=\"43184128\"] \n  12 -> 14 [size =\"43184128\"]\n  13 [size=\"105772373\", alpha=\"0.12\", expect_size=\"31731712\"] \n  13 -> 15 [size =\"31731712\"]\n  14 [size=\"40284160\", alpha=\"0.08\", expect_size=\"12085248\"] \n  15 [size=\"52333227\", alpha=\"0.19\", expect_size=\"15699968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109250560\", alpha=\"0.12\", expect_size=\"43700224\"] \n  1 -> 3 [size =\"43700224\"]\n  2 [size=\"91893760\", alpha=\"0.01\", expect_size=\"36757504\"] \n  3 [size=\"47613440\", alpha=\"0.12\", expect_size=\"19045376\"] \n  3 -> 4 [size =\"19045376\"]\n  3 -> 5 [size =\"19045376\"]\n  4 [size=\"107343360\", alpha=\"0.15\", expect_size=\"42937344\"] \n  4 -> 7 [size =\"42937344\"]\n  5 [size=\"105021440\", alpha=\"0.12\", expect_size=\"42008576\"] \n  5 -> 6 [size =\"42008576\"]\n  6 [size=\"13358080\", alpha=\"0.15\", expect_size=\"5343232\"] \n  6 -> 8 [size =\"5343232\"]\n  6 -> 9 [size =\"5343232\"]\n  7 [size=\"26542080\", alpha=\"0.01\", expect_size=\"10616832\"] \n  8 [size=\"53793280\", alpha=\"0.06\", expect_size=\"21517312\"] \n  9 [size=\"121994240\", alpha=\"0.18\", expect_size=\"48797696\"] \n  9 -> 10 [size =\"48797696\"]\n  10 [size=\"61468160\", alpha=\"0.17\", expect_size=\"24587264\"] \n  10 -> 11 [size =\"24587264\"]\n  10 -> 12 [size =\"24587264\"]\n  11 [size=\"95047680\", alpha=\"0.10\", expect_size=\"38019072\"] \n  11 -> 14 [size =\"38019072\"]\n  12 [size=\"45562880\", alpha=\"0.12\", expect_size=\"18225152\"] \n  12 -> 13 [size =\"18225152\"]\n  13 [size=\"53355520\", alpha=\"0.05\", expect_size=\"21342208\"] \n  13 -> 15 [size =\"21342208\"]\n  14 [size=\"124613120\", alpha=\"0.03\", expect_size=\"49845248\"] \n  15 [size=\"96550400\", alpha=\"0.08\", expect_size=\"38620160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96384000\", alpha=\"0.03\", expect_size=\"38553600\"] \n  1 -> 2 [size =\"38553600\"]\n  2 [size=\"34155520\", alpha=\"0.08\", expect_size=\"13662208\"] \n  2 -> 3 [size =\"13662208\"]\n  3 [size=\"57879040\", alpha=\"0.17\", expect_size=\"23151616\"] \n  3 -> 4 [size =\"23151616\"]\n  4 [size=\"66396160\", alpha=\"0.13\", expect_size=\"26558464\"] \n  4 -> 5 [size =\"26558464\"]\n  5 [size=\"130306560\", alpha=\"0.04\", expect_size=\"52122624\"] \n  5 -> 6 [size =\"52122624\"]\n  6 [size=\"79564800\", alpha=\"0.15\", expect_size=\"31825920\"] \n  6 -> 7 [size =\"31825920\"]\n  7 [size=\"100887040\", alpha=\"0.14\", expect_size=\"40354816\"] \n  7 -> 8 [size =\"40354816\"]\n  8 [size=\"92083200\", alpha=\"0.15\", expect_size=\"36833280\"] \n  8 -> 9 [size =\"36833280\"]\n  9 [size=\"20336640\", alpha=\"0.18\", expect_size=\"8134656\"] \n  9 -> 10 [size =\"8134656\"]\n  10 [size=\"67491840\", alpha=\"0.02\", expect_size=\"26996736\"] \n  10 -> 11 [size =\"26996736\"]\n  11 [size=\"13678080\", alpha=\"0.03\", expect_size=\"5471232\"] \n  11 -> 12 [size =\"5471232\"]\n  12 [size=\"28551680\", alpha=\"0.07\", expect_size=\"11420672\"] \n  12 -> 13 [size =\"11420672\"]\n  13 [size=\"75622400\", alpha=\"0.09\", expect_size=\"30248960\"] \n  13 -> 14 [size =\"30248960\"]\n  14 [size=\"57994240\", alpha=\"0.01\", expect_size=\"23197696\"] \n  14 -> 15 [size =\"23197696\"]\n  15 [size=\"17203200\", alpha=\"0.12\", expect_size=\"6881280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98549760\", alpha=\"0.06\", expect_size=\"39419904\"] \n  1 -> 2 [size =\"39419904\"]\n  2 [size=\"16417280\", alpha=\"0.18\", expect_size=\"6566912\"] \n  2 -> 3 [size =\"6566912\"]\n  3 [size=\"90493440\", alpha=\"0.01\", expect_size=\"36197376\"] \n  3 -> 4 [size =\"36197376\"]\n  3 -> 5 [size =\"36197376\"]\n  4 [size=\"18493440\", alpha=\"0.11\", expect_size=\"7397376\"] \n  5 [size=\"83333120\", alpha=\"0.11\", expect_size=\"33333248\"] \n  5 -> 6 [size =\"33333248\"]\n  6 [size=\"81180160\", alpha=\"0.14\", expect_size=\"32472064\"] \n  6 -> 7 [size =\"32472064\"]\n  6 -> 8 [size =\"32472064\"]\n  7 [size=\"108802560\", alpha=\"0.02\", expect_size=\"43521024\"] \n  8 [size=\"39014400\", alpha=\"0.13\", expect_size=\"15605760\"] \n  8 -> 9 [size =\"15605760\"]\n  9 [size=\"77913600\", alpha=\"0.13\", expect_size=\"31165440\"] \n  9 -> 10 [size =\"31165440\"]\n  9 -> 11 [size =\"31165440\"]\n  10 [size=\"31088640\", alpha=\"0.16\", expect_size=\"12435456\"] \n  11 [size=\"54773760\", alpha=\"0.11\", expect_size=\"21909504\"] \n  11 -> 12 [size =\"21909504\"]\n  11 -> 13 [size =\"21909504\"]\n  12 [size=\"90229760\", alpha=\"0.04\", expect_size=\"36091904\"] \n  12 -> 14 [size =\"36091904\"]\n  13 [size=\"77283840\", alpha=\"0.05\", expect_size=\"30913536\"] \n  14 [size=\"80609280\", alpha=\"0.05\", expect_size=\"32243712\"] \n  14 -> 15 [size =\"32243712\"]\n  15 [size=\"25451520\", alpha=\"0.03\", expect_size=\"10180608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93038080\", alpha=\"0.16\", expect_size=\"37215232\"] \n  1 -> 9 [size =\"37215232\"]\n  1 -> 12 [size =\"37215232\"]\n  2 [size=\"99553280\", alpha=\"0.12\", expect_size=\"39821312\"] \n  2 -> 7 [size =\"39821312\"]\n  3 [size=\"50746880\", alpha=\"0.01\", expect_size=\"20298752\"] \n  3 -> 11 [size =\"20298752\"]\n  4 [size=\"80455680\", alpha=\"0.10\", expect_size=\"32182272\"] \n  4 -> 8 [size =\"32182272\"]\n  4 -> 12 [size =\"32182272\"]\n  5 [size=\"18357760\", alpha=\"0.14\", expect_size=\"7343104\"] \n  5 -> 7 [size =\"7343104\"]\n  5 -> 10 [size =\"7343104\"]\n  5 -> 11 [size =\"7343104\"]\n  6 [size=\"125342720\", alpha=\"0.14\", expect_size=\"50137088\"] \n  6 -> 11 [size =\"50137088\"]\n  6 -> 12 [size =\"50137088\"]\n  6 -> 13 [size =\"50137088\"]\n  7 [size=\"24512000\", alpha=\"0.07\", expect_size=\"9804800\"] \n  7 -> 14 [size =\"9804800\"]\n  7 -> 15 [size =\"9804800\"]\n  8 [size=\"115793920\", alpha=\"0.20\", expect_size=\"46317568\"] \n  8 -> 14 [size =\"46317568\"]\n  9 [size=\"45667840\", alpha=\"0.19\", expect_size=\"18267136\"] \n  9 -> 15 [size =\"18267136\"]\n  10 [size=\"75417600\", alpha=\"0.14\", expect_size=\"30167040\"] \n  11 [size=\"121617920\", alpha=\"0.18\", expect_size=\"48647168\"] \n  12 [size=\"99102720\", alpha=\"0.11\", expect_size=\"39641088\"] \n  12 -> 15 [size =\"39641088\"]\n  13 [size=\"53637120\", alpha=\"0.06\", expect_size=\"21454848\"] \n  13 -> 15 [size =\"21454848\"]\n  14 [size=\"59366400\", alpha=\"0.14\", expect_size=\"23746560\"] \n  15 [size=\"119764480\", alpha=\"0.09\", expect_size=\"47905792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90750293\", alpha=\"0.14\", expect_size=\"27225088\"] \n  1 -> 2 [size =\"27225088\"]\n  2 [size=\"70973440\", alpha=\"0.07\", expect_size=\"21292032\"] \n  2 -> 3 [size =\"21292032\"]\n  3 [size=\"128750933\", alpha=\"0.02\", expect_size=\"38625280\"] \n  3 -> 4 [size =\"38625280\"]\n  4 [size=\"148326400\", alpha=\"0.08\", expect_size=\"44497920\"] \n  4 -> 5 [size =\"44497920\"]\n  5 [size=\"44066133\", alpha=\"0.01\", expect_size=\"13219840\"] \n  5 -> 6 [size =\"13219840\"]\n  6 [size=\"58661547\", alpha=\"0.12\", expect_size=\"17598464\"] \n  6 -> 7 [size =\"17598464\"]\n  7 [size=\"136704000\", alpha=\"0.14\", expect_size=\"41011200\"] \n  7 -> 8 [size =\"41011200\"]\n  8 [size=\"97338027\", alpha=\"0.19\", expect_size=\"29201408\"] \n  8 -> 9 [size =\"29201408\"]\n  9 [size=\"53951147\", alpha=\"0.14\", expect_size=\"16185344\"] \n  9 -> 10 [size =\"16185344\"]\n  10 [size=\"33583787\", alpha=\"0.14\", expect_size=\"10075136\"] \n  10 -> 11 [size =\"10075136\"]\n  11 [size=\"111107413\", alpha=\"0.07\", expect_size=\"33332224\"] \n  11 -> 12 [size =\"33332224\"]\n  12 [size=\"65693013\", alpha=\"0.10\", expect_size=\"19707904\"] \n  12 -> 13 [size =\"19707904\"]\n  13 [size=\"118074027\", alpha=\"0.07\", expect_size=\"35422208\"] \n  13 -> 14 [size =\"35422208\"]\n  14 [size=\"130263040\", alpha=\"0.17\", expect_size=\"39078912\"] \n  14 -> 15 [size =\"39078912\"]\n  15 [size=\"38031360\", alpha=\"0.09\", expect_size=\"11409408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96163840\", alpha=\"0.17\", expect_size=\"28849152\"] \n  1 -> 3 [size =\"28849152\"]\n  2 [size=\"62474240\", alpha=\"0.09\", expect_size=\"18742272\"] \n  3 [size=\"131874133\", alpha=\"0.16\", expect_size=\"39562240\"] \n  3 -> 4 [size =\"39562240\"]\n  4 [size=\"96812373\", alpha=\"0.05\", expect_size=\"29043712\"] \n  4 -> 5 [size =\"29043712\"]\n  4 -> 6 [size =\"29043712\"]\n  5 [size=\"102314667\", alpha=\"0.06\", expect_size=\"30694400\"] \n  5 -> 7 [size =\"30694400\"]\n  6 [size=\"130389333\", alpha=\"0.14\", expect_size=\"39116800\"] \n  7 [size=\"72939520\", alpha=\"0.19\", expect_size=\"21881856\"] \n  7 -> 8 [size =\"21881856\"]\n  7 -> 9 [size =\"21881856\"]\n  8 [size=\"91569493\", alpha=\"0.20\", expect_size=\"27470848\"] \n  8 -> 10 [size =\"27470848\"]\n  8 -> 11 [size =\"27470848\"]\n  9 [size=\"141096960\", alpha=\"0.03\", expect_size=\"42329088\"] \n  9 -> 10 [size =\"42329088\"]\n  10 [size=\"74731520\", alpha=\"0.15\", expect_size=\"22419456\"] \n  10 -> 12 [size =\"22419456\"]\n  11 [size=\"162986667\", alpha=\"0.00\", expect_size=\"48896000\"] \n  11 -> 12 [size =\"48896000\"]\n  11 -> 13 [size =\"48896000\"]\n  12 [size=\"138868053\", alpha=\"0.17\", expect_size=\"41660416\"] \n  12 -> 14 [size =\"41660416\"]\n  12 -> 15 [size =\"41660416\"]\n  13 [size=\"52063573\", alpha=\"0.01\", expect_size=\"15619072\"] \n  13 -> 15 [size =\"15619072\"]\n  14 [size=\"21138773\", alpha=\"0.04\", expect_size=\"6341632\"] \n  15 [size=\"64354987\", alpha=\"0.05\", expect_size=\"19306496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44694187\", alpha=\"0.19\", expect_size=\"13408256\"] \n  1 -> 3 [size =\"13408256\"]\n  2 [size=\"85807787\", alpha=\"0.12\", expect_size=\"25742336\"] \n  2 -> 3 [size =\"25742336\"]\n  3 [size=\"148916907\", alpha=\"0.10\", expect_size=\"44675072\"] \n  3 -> 4 [size =\"44675072\"]\n  4 [size=\"162805760\", alpha=\"0.20\", expect_size=\"48841728\"] \n  4 -> 5 [size =\"48841728\"]\n  5 [size=\"26996053\", alpha=\"0.07\", expect_size=\"8098816\"] \n  5 -> 6 [size =\"8098816\"]\n  6 [size=\"34474667\", alpha=\"0.17\", expect_size=\"10342400\"] \n  6 -> 7 [size =\"10342400\"]\n  6 -> 8 [size =\"10342400\"]\n  7 [size=\"110817280\", alpha=\"0.10\", expect_size=\"33245184\"] \n  7 -> 9 [size =\"33245184\"]\n  8 [size=\"168697173\", alpha=\"0.18\", expect_size=\"50609152\"] \n  8 -> 9 [size =\"50609152\"]\n  9 [size=\"17896107\", alpha=\"0.05\", expect_size=\"5368832\"] \n  9 -> 10 [size =\"5368832\"]\n  10 [size=\"41018027\", alpha=\"0.08\", expect_size=\"12305408\"] \n  10 -> 11 [size =\"12305408\"]\n  10 -> 12 [size =\"12305408\"]\n  11 [size=\"169789440\", alpha=\"0.00\", expect_size=\"50936832\"] \n  11 -> 13 [size =\"50936832\"]\n  12 [size=\"158303573\", alpha=\"0.13\", expect_size=\"47491072\"] \n  12 -> 13 [size =\"47491072\"]\n  13 [size=\"91576320\", alpha=\"0.01\", expect_size=\"27472896\"] \n  13 -> 14 [size =\"27472896\"]\n  13 -> 15 [size =\"27472896\"]\n  14 [size=\"166727680\", alpha=\"0.04\", expect_size=\"50018304\"] \n  15 [size=\"162846720\", alpha=\"0.18\", expect_size=\"48854016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28983296\", alpha=\"0.11\", expect_size=\"14491648\"] \n  2 [size=\"96514048\", alpha=\"0.11\", expect_size=\"48257024\"] \n  3 [size=\"80310272\", alpha=\"0.17\", expect_size=\"40155136\"] \n  4 [size=\"42680320\", alpha=\"0.08\", expect_size=\"21340160\"] \n  5 [size=\"13780992\", alpha=\"0.02\", expect_size=\"6890496\"] \n  6 [size=\"52428800\", alpha=\"0.16\", expect_size=\"26214400\"] \n  7 [size=\"39583744\", alpha=\"0.15\", expect_size=\"19791872\"] \n  8 [size=\"47245312\", alpha=\"0.13\", expect_size=\"23622656\"] \n  9 [size=\"85610496\", alpha=\"0.13\", expect_size=\"42805248\"] \n  10 [size=\"14356480\", alpha=\"0.09\", expect_size=\"7178240\"] \n  11 [size=\"98856960\", alpha=\"0.10\", expect_size=\"49428480\"] \n  12 [size=\"54157312\", alpha=\"0.09\", expect_size=\"27078656\"] \n  13 [size=\"13969408\", alpha=\"0.15\", expect_size=\"6984704\"] \n  14 [size=\"93825024\", alpha=\"0.15\", expect_size=\"46912512\"] \n  15 [size=\"37201920\", alpha=\"0.03\", expect_size=\"18600960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50749440\", alpha=\"0.00\", expect_size=\"20299776\"] \n  1 -> 3 [size =\"20299776\"]\n  1 -> 4 [size =\"20299776\"]\n  2 [size=\"54056960\", alpha=\"0.04\", expect_size=\"21622784\"] \n  2 -> 3 [size =\"21622784\"]\n  3 [size=\"27612160\", alpha=\"0.10\", expect_size=\"11044864\"] \n  3 -> 5 [size =\"11044864\"]\n  3 -> 7 [size =\"11044864\"]\n  4 [size=\"47211520\", alpha=\"0.13\", expect_size=\"18884608\"] \n  4 -> 5 [size =\"18884608\"]\n  4 -> 6 [size =\"18884608\"]\n  4 -> 7 [size =\"18884608\"]\n  5 [size=\"85045760\", alpha=\"0.17\", expect_size=\"34018304\"] \n  5 -> 8 [size =\"34018304\"]\n  5 -> 9 [size =\"34018304\"]\n  6 [size=\"44787200\", alpha=\"0.12\", expect_size=\"17914880\"] \n  6 -> 8 [size =\"17914880\"]\n  6 -> 9 [size =\"17914880\"]\n  7 [size=\"39385600\", alpha=\"0.10\", expect_size=\"15754240\"] \n  7 -> 8 [size =\"15754240\"]\n  7 -> 9 [size =\"15754240\"]\n  8 [size=\"94238720\", alpha=\"0.13\", expect_size=\"37695488\"] \n  8 -> 10 [size =\"37695488\"]\n  8 -> 11 [size =\"37695488\"]\n  9 [size=\"106554880\", alpha=\"0.05\", expect_size=\"42621952\"] \n  9 -> 10 [size =\"42621952\"]\n  9 -> 11 [size =\"42621952\"]\n  10 [size=\"125104640\", alpha=\"0.03\", expect_size=\"50041856\"] \n  10 -> 12 [size =\"50041856\"]\n  10 -> 13 [size =\"50041856\"]\n  10 -> 14 [size =\"50041856\"]\n  11 [size=\"40760320\", alpha=\"0.01\", expect_size=\"16304128\"] \n  11 -> 12 [size =\"16304128\"]\n  11 -> 13 [size =\"16304128\"]\n  11 -> 14 [size =\"16304128\"]\n  12 [size=\"41006080\", alpha=\"0.07\", expect_size=\"16402432\"] \n  13 [size=\"63009280\", alpha=\"0.05\", expect_size=\"25203712\"] \n  14 [size=\"119193600\", alpha=\"0.03\", expect_size=\"47677440\"] \n  14 -> 15 [size =\"47677440\"]\n  15 [size=\"78305280\", alpha=\"0.07\", expect_size=\"31322112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168721067\", alpha=\"0.17\", expect_size=\"50616320\"] \n  1 -> 2 [size =\"50616320\"]\n  2 [size=\"138042027\", alpha=\"0.10\", expect_size=\"41412608\"] \n  2 -> 3 [size =\"41412608\"]\n  3 [size=\"138482347\", alpha=\"0.19\", expect_size=\"41544704\"] \n  3 -> 4 [size =\"41544704\"]\n  4 [size=\"166649173\", alpha=\"0.14\", expect_size=\"49994752\"] \n  4 -> 5 [size =\"49994752\"]\n  5 [size=\"30412800\", alpha=\"0.03\", expect_size=\"9123840\"] \n  5 -> 6 [size =\"9123840\"]\n  6 [size=\"148377600\", alpha=\"0.06\", expect_size=\"44513280\"] \n  6 -> 7 [size =\"44513280\"]\n  7 [size=\"74379947\", alpha=\"0.17\", expect_size=\"22313984\"] \n  7 -> 8 [size =\"22313984\"]\n  8 [size=\"138813440\", alpha=\"0.06\", expect_size=\"41644032\"] \n  8 -> 9 [size =\"41644032\"]\n  9 [size=\"153784320\", alpha=\"0.14\", expect_size=\"46135296\"] \n  9 -> 10 [size =\"46135296\"]\n  10 [size=\"22978560\", alpha=\"0.10\", expect_size=\"6893568\"] \n  10 -> 11 [size =\"6893568\"]\n  11 [size=\"62170453\", alpha=\"0.02\", expect_size=\"18651136\"] \n  11 -> 12 [size =\"18651136\"]\n  12 [size=\"34699947\", alpha=\"0.12\", expect_size=\"10409984\"] \n  12 -> 13 [size =\"10409984\"]\n  13 [size=\"114012160\", alpha=\"0.17\", expect_size=\"34203648\"] \n  13 -> 14 [size =\"34203648\"]\n  14 [size=\"106810027\", alpha=\"0.09\", expect_size=\"32043008\"] \n  14 -> 15 [size =\"32043008\"]\n  15 [size=\"57064107\", alpha=\"0.12\", expect_size=\"17119232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26423296\", alpha=\"0.16\", expect_size=\"13211648\"] \n  1 -> 13 [size =\"13211648\"]\n  1 -> 14 [size =\"13211648\"]\n  1 -> 15 [size =\"13211648\"]\n  2 [size=\"30642176\", alpha=\"0.15\", expect_size=\"15321088\"] \n  2 -> 10 [size =\"15321088\"]\n  3 [size=\"55275520\", alpha=\"0.10\", expect_size=\"27637760\"] \n  3 -> 9 [size =\"27637760\"]\n  3 -> 12 [size =\"27637760\"]\n  3 -> 13 [size =\"27637760\"]\n  3 -> 15 [size =\"27637760\"]\n  4 [size=\"80756736\", alpha=\"0.08\", expect_size=\"40378368\"] \n  4 -> 11 [size =\"40378368\"]\n  4 -> 13 [size =\"40378368\"]\n  5 [size=\"83142656\", alpha=\"0.00\", expect_size=\"41571328\"] \n  5 -> 9 [size =\"41571328\"]\n  5 -> 10 [size =\"41571328\"]\n  5 -> 11 [size =\"41571328\"]\n  5 -> 13 [size =\"41571328\"]\n  6 [size=\"43614208\", alpha=\"0.01\", expect_size=\"21807104\"] \n  6 -> 9 [size =\"21807104\"]\n  6 -> 10 [size =\"21807104\"]\n  6 -> 12 [size =\"21807104\"]\n  6 -> 14 [size =\"21807104\"]\n  7 [size=\"85258240\", alpha=\"0.16\", expect_size=\"42629120\"] \n  8 [size=\"20328448\", alpha=\"0.09\", expect_size=\"10164224\"] \n  8 -> 11 [size =\"10164224\"]\n  8 -> 12 [size =\"10164224\"]\n  9 [size=\"65681408\", alpha=\"0.02\", expect_size=\"32840704\"] \n  10 [size=\"14839808\", alpha=\"0.01\", expect_size=\"7419904\"] \n  11 [size=\"82268160\", alpha=\"0.11\", expect_size=\"41134080\"] \n  12 [size=\"62021632\", alpha=\"0.15\", expect_size=\"31010816\"] \n  13 [size=\"38391808\", alpha=\"0.00\", expect_size=\"19195904\"] \n  14 [size=\"85118976\", alpha=\"0.14\", expect_size=\"42559488\"] \n  15 [size=\"29114368\", alpha=\"0.02\", expect_size=\"14557184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20158464\", alpha=\"0.13\", expect_size=\"10079232\"] \n  1 -> 10 [size =\"10079232\"]\n  1 -> 11 [size =\"10079232\"]\n  2 [size=\"50728960\", alpha=\"0.02\", expect_size=\"25364480\"] \n  2 -> 7 [size =\"25364480\"]\n  2 -> 8 [size =\"25364480\"]\n  3 [size=\"99803136\", alpha=\"0.01\", expect_size=\"49901568\"] \n  3 -> 8 [size =\"49901568\"]\n  3 -> 9 [size =\"49901568\"]\n  3 -> 10 [size =\"49901568\"]\n  4 [size=\"59064320\", alpha=\"0.15\", expect_size=\"29532160\"] \n  4 -> 12 [size =\"29532160\"]\n  5 [size=\"85733376\", alpha=\"0.18\", expect_size=\"42866688\"] \n  5 -> 7 [size =\"42866688\"]\n  5 -> 9 [size =\"42866688\"]\n  5 -> 12 [size =\"42866688\"]\n  6 [size=\"99911680\", alpha=\"0.19\", expect_size=\"49955840\"] \n  6 -> 7 [size =\"49955840\"]\n  6 -> 12 [size =\"49955840\"]\n  7 [size=\"13922304\", alpha=\"0.07\", expect_size=\"6961152\"] \n  8 [size=\"104738816\", alpha=\"0.10\", expect_size=\"52369408\"] \n  8 -> 13 [size =\"52369408\"]\n  8 -> 14 [size =\"52369408\"]\n  9 [size=\"90644480\", alpha=\"0.03\", expect_size=\"45322240\"] \n  9 -> 14 [size =\"45322240\"]\n  10 [size=\"70848512\", alpha=\"0.14\", expect_size=\"35424256\"] \n  10 -> 13 [size =\"35424256\"]\n  10 -> 15 [size =\"35424256\"]\n  11 [size=\"49582080\", alpha=\"0.17\", expect_size=\"24791040\"] \n  11 -> 15 [size =\"24791040\"]\n  12 [size=\"17086464\", alpha=\"0.04\", expect_size=\"8543232\"] \n  12 -> 13 [size =\"8543232\"]\n  12 -> 14 [size =\"8543232\"]\n  13 [size=\"25188352\", alpha=\"0.04\", expect_size=\"12594176\"] \n  14 [size=\"31651840\", alpha=\"0.05\", expect_size=\"15825920\"] \n  15 [size=\"102707200\", alpha=\"0.12\", expect_size=\"51353600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68366336\", alpha=\"0.08\", expect_size=\"34183168\"] \n  1 -> 3 [size =\"34183168\"]\n  1 -> 4 [size =\"34183168\"]\n  2 [size=\"40153088\", alpha=\"0.15\", expect_size=\"20076544\"] \n  3 [size=\"77768704\", alpha=\"0.18\", expect_size=\"38884352\"] \n  3 -> 5 [size =\"38884352\"]\n  3 -> 6 [size =\"38884352\"]\n  4 [size=\"41596928\", alpha=\"0.02\", expect_size=\"20798464\"] \n  4 -> 5 [size =\"20798464\"]\n  4 -> 6 [size =\"20798464\"]\n  5 [size=\"23662592\", alpha=\"0.02\", expect_size=\"11831296\"] \n  5 -> 7 [size =\"11831296\"]\n  5 -> 8 [size =\"11831296\"]\n  6 [size=\"100290560\", alpha=\"0.08\", expect_size=\"50145280\"] \n  6 -> 7 [size =\"50145280\"]\n  6 -> 8 [size =\"50145280\"]\n  7 [size=\"32452608\", alpha=\"0.06\", expect_size=\"16226304\"] \n  8 [size=\"91879424\", alpha=\"0.03\", expect_size=\"45939712\"] \n  8 -> 9 [size =\"45939712\"]\n  9 [size=\"80371712\", alpha=\"0.04\", expect_size=\"40185856\"] \n  9 -> 10 [size =\"40185856\"]\n  10 [size=\"89341952\", alpha=\"0.02\", expect_size=\"44670976\"] \n  10 -> 11 [size =\"44670976\"]\n  10 -> 12 [size =\"44670976\"]\n  11 [size=\"60485632\", alpha=\"0.03\", expect_size=\"30242816\"] \n  11 -> 13 [size =\"30242816\"]\n  11 -> 14 [size =\"30242816\"]\n  12 [size=\"97218560\", alpha=\"0.15\", expect_size=\"48609280\"] \n  12 -> 13 [size =\"48609280\"]\n  12 -> 14 [size =\"48609280\"]\n  13 [size=\"71981056\", alpha=\"0.10\", expect_size=\"35990528\"] \n  13 -> 15 [size =\"35990528\"]\n  14 [size=\"62875648\", alpha=\"0.04\", expect_size=\"31437824\"] \n  15 [size=\"70055936\", alpha=\"0.16\", expect_size=\"35027968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92362752\", alpha=\"0.06\", expect_size=\"46181376\"] \n  1 -> 5 [size =\"46181376\"]\n  1 -> 6 [size =\"46181376\"]\n  2 [size=\"37066752\", alpha=\"0.04\", expect_size=\"18533376\"] \n  3 [size=\"21422080\", alpha=\"0.04\", expect_size=\"10711040\"] \n  3 -> 4 [size =\"10711040\"]\n  4 [size=\"22849536\", alpha=\"0.09\", expect_size=\"11424768\"] \n  4 -> 7 [size =\"11424768\"]\n  4 -> 9 [size =\"11424768\"]\n  5 [size=\"30760960\", alpha=\"0.04\", expect_size=\"15380480\"] \n  6 [size=\"80963584\", alpha=\"0.06\", expect_size=\"40481792\"] \n  6 -> 8 [size =\"40481792\"]\n  7 [size=\"49127424\", alpha=\"0.17\", expect_size=\"24563712\"] \n  8 [size=\"69218304\", alpha=\"0.08\", expect_size=\"34609152\"] \n  8 -> 10 [size =\"34609152\"]\n  9 [size=\"66449408\", alpha=\"0.02\", expect_size=\"33224704\"] \n  9 -> 11 [size =\"33224704\"]\n  10 [size=\"64862208\", alpha=\"0.20\", expect_size=\"32431104\"] \n  10 -> 13 [size =\"32431104\"]\n  10 -> 14 [size =\"32431104\"]\n  11 [size=\"21118976\", alpha=\"0.00\", expect_size=\"10559488\"] \n  11 -> 12 [size =\"10559488\"]\n  11 -> 13 [size =\"10559488\"]\n  11 -> 14 [size =\"10559488\"]\n  12 [size=\"49897472\", alpha=\"0.01\", expect_size=\"24948736\"] \n  12 -> 15 [size =\"24948736\"]\n  13 [size=\"69969920\", alpha=\"0.15\", expect_size=\"34984960\"] \n  14 [size=\"90296320\", alpha=\"0.08\", expect_size=\"45148160\"] \n  14 -> 15 [size =\"45148160\"]\n  15 [size=\"36644864\", alpha=\"0.18\", expect_size=\"18322432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20834304\", alpha=\"0.09\", expect_size=\"10417152\"] \n  1 -> 4 [size =\"10417152\"]\n  1 -> 5 [size =\"10417152\"]\n  2 [size=\"17170432\", alpha=\"0.18\", expect_size=\"8585216\"] \n  2 -> 3 [size =\"8585216\"]\n  2 -> 4 [size =\"8585216\"]\n  2 -> 5 [size =\"8585216\"]\n  3 [size=\"40771584\", alpha=\"0.01\", expect_size=\"20385792\"] \n  3 -> 6 [size =\"20385792\"]\n  4 [size=\"102473728\", alpha=\"0.12\", expect_size=\"51236864\"] \n  4 -> 7 [size =\"51236864\"]\n  5 [size=\"42825728\", alpha=\"0.17\", expect_size=\"21412864\"] \n  5 -> 7 [size =\"21412864\"]\n  6 [size=\"99762176\", alpha=\"0.07\", expect_size=\"49881088\"] \n  6 -> 8 [size =\"49881088\"]\n  7 [size=\"82395136\", alpha=\"0.10\", expect_size=\"41197568\"] \n  7 -> 9 [size =\"41197568\"]\n  8 [size=\"41984000\", alpha=\"0.17\", expect_size=\"20992000\"] \n  8 -> 10 [size =\"20992000\"]\n  8 -> 11 [size =\"20992000\"]\n  9 [size=\"74971136\", alpha=\"0.18\", expect_size=\"37485568\"] \n  10 [size=\"77092864\", alpha=\"0.08\", expect_size=\"38546432\"] \n  11 [size=\"38555648\", alpha=\"0.06\", expect_size=\"19277824\"] \n  11 -> 12 [size =\"19277824\"]\n  11 -> 13 [size =\"19277824\"]\n  12 [size=\"81332224\", alpha=\"0.07\", expect_size=\"40666112\"] \n  12 -> 14 [size =\"40666112\"]\n  12 -> 15 [size =\"40666112\"]\n  13 [size=\"73881600\", alpha=\"0.11\", expect_size=\"36940800\"] \n  14 [size=\"78899200\", alpha=\"0.00\", expect_size=\"39449600\"] \n  15 [size=\"41594880\", alpha=\"0.08\", expect_size=\"20797440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50214400\", alpha=\"0.11\", expect_size=\"20085760\"] \n  1 -> 5 [size =\"20085760\"]\n  2 [size=\"86679040\", alpha=\"0.07\", expect_size=\"34671616\"] \n  2 -> 4 [size =\"34671616\"]\n  2 -> 5 [size =\"34671616\"]\n  3 [size=\"39651840\", alpha=\"0.04\", expect_size=\"15860736\"] \n  4 [size=\"128023040\", alpha=\"0.10\", expect_size=\"51209216\"] \n  4 -> 7 [size =\"51209216\"]\n  4 -> 8 [size =\"51209216\"]\n  5 [size=\"130288640\", alpha=\"0.00\", expect_size=\"52115456\"] \n  5 -> 6 [size =\"52115456\"]\n  5 -> 8 [size =\"52115456\"]\n  6 [size=\"68620800\", alpha=\"0.16\", expect_size=\"27448320\"] \n  7 [size=\"111749120\", alpha=\"0.14\", expect_size=\"44699648\"] \n  7 -> 9 [size =\"44699648\"]\n  8 [size=\"120983040\", alpha=\"0.04\", expect_size=\"48393216\"] \n  9 [size=\"80273920\", alpha=\"0.11\", expect_size=\"32109568\"] \n  9 -> 10 [size =\"32109568\"]\n  9 -> 11 [size =\"32109568\"]\n  9 -> 12 [size =\"32109568\"]\n  10 [size=\"44451840\", alpha=\"0.03\", expect_size=\"17780736\"] \n  10 -> 13 [size =\"17780736\"]\n  10 -> 14 [size =\"17780736\"]\n  10 -> 15 [size =\"17780736\"]\n  11 [size=\"35368960\", alpha=\"0.07\", expect_size=\"14147584\"] \n  12 [size=\"98001920\", alpha=\"0.19\", expect_size=\"39200768\"] \n  13 [size=\"23137280\", alpha=\"0.18\", expect_size=\"9254912\"] \n  14 [size=\"45327360\", alpha=\"0.04\", expect_size=\"18130944\"] \n  15 [size=\"103884800\", alpha=\"0.08\", expect_size=\"41553920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157221547\", alpha=\"0.00\", expect_size=\"47166464\"] \n  1 -> 2 [size =\"47166464\"]\n  2 [size=\"76315307\", alpha=\"0.03\", expect_size=\"22894592\"] \n  2 -> 3 [size =\"22894592\"]\n  3 [size=\"28869973\", alpha=\"0.01\", expect_size=\"8660992\"] \n  3 -> 4 [size =\"8660992\"]\n  4 [size=\"141370027\", alpha=\"0.12\", expect_size=\"42411008\"] \n  4 -> 5 [size =\"42411008\"]\n  5 [size=\"64116053\", alpha=\"0.06\", expect_size=\"19234816\"] \n  5 -> 6 [size =\"19234816\"]\n  6 [size=\"63242240\", alpha=\"0.20\", expect_size=\"18972672\"] \n  6 -> 7 [size =\"18972672\"]\n  7 [size=\"110400853\", alpha=\"0.09\", expect_size=\"33120256\"] \n  7 -> 8 [size =\"33120256\"]\n  8 [size=\"88780800\", alpha=\"0.05\", expect_size=\"26634240\"] \n  8 -> 9 [size =\"26634240\"]\n  9 [size=\"110721707\", alpha=\"0.07\", expect_size=\"33216512\"] \n  9 -> 10 [size =\"33216512\"]\n  10 [size=\"61378560\", alpha=\"0.08\", expect_size=\"18413568\"] \n  10 -> 11 [size =\"18413568\"]\n  11 [size=\"166444373\", alpha=\"0.12\", expect_size=\"49933312\"] \n  11 -> 12 [size =\"49933312\"]\n  12 [size=\"169741653\", alpha=\"0.12\", expect_size=\"50922496\"] \n  12 -> 13 [size =\"50922496\"]\n  13 [size=\"37495467\", alpha=\"0.17\", expect_size=\"11248640\"] \n  13 -> 14 [size =\"11248640\"]\n  14 [size=\"46318933\", alpha=\"0.00\", expect_size=\"13895680\"] \n  14 -> 15 [size =\"13895680\"]\n  15 [size=\"140711253\", alpha=\"0.14\", expect_size=\"42213376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48969728\", alpha=\"0.07\", expect_size=\"24484864\"] \n  2 [size=\"39481344\", alpha=\"0.18\", expect_size=\"19740672\"] \n  2 -> 13 [size =\"19740672\"]\n  2 -> 14 [size =\"19740672\"]\n  3 [size=\"34457600\", alpha=\"0.03\", expect_size=\"17228800\"] \n  3 -> 12 [size =\"17228800\"]\n  3 -> 15 [size =\"17228800\"]\n  4 [size=\"59015168\", alpha=\"0.13\", expect_size=\"29507584\"] \n  4 -> 12 [size =\"29507584\"]\n  5 [size=\"72402944\", alpha=\"0.01\", expect_size=\"36201472\"] \n  5 -> 14 [size =\"36201472\"]\n  6 [size=\"62896128\", alpha=\"0.06\", expect_size=\"31448064\"] \n  6 -> 14 [size =\"31448064\"]\n  7 [size=\"39837696\", alpha=\"0.03\", expect_size=\"19918848\"] \n  7 -> 14 [size =\"19918848\"]\n  8 [size=\"86638592\", alpha=\"0.03\", expect_size=\"43319296\"] \n  8 -> 14 [size =\"43319296\"]\n  8 -> 15 [size =\"43319296\"]\n  9 [size=\"13340672\", alpha=\"0.08\", expect_size=\"6670336\"] \n  9 -> 14 [size =\"6670336\"]\n  10 [size=\"53012480\", alpha=\"0.18\", expect_size=\"26506240\"] \n  10 -> 12 [size =\"26506240\"]\n  10 -> 13 [size =\"26506240\"]\n  11 [size=\"53026816\", alpha=\"0.07\", expect_size=\"26513408\"] \n  12 [size=\"87488512\", alpha=\"0.12\", expect_size=\"43744256\"] \n  13 [size=\"76556288\", alpha=\"0.12\", expect_size=\"38278144\"] \n  14 [size=\"89106432\", alpha=\"0.08\", expect_size=\"44553216\"] \n  15 [size=\"54949888\", alpha=\"0.05\", expect_size=\"27474944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102776832\", alpha=\"0.07\", expect_size=\"51388416\"] \n  2 [size=\"22616064\", alpha=\"0.17\", expect_size=\"11308032\"] \n  2 -> 4 [size =\"11308032\"]\n  2 -> 5 [size =\"11308032\"]\n  3 [size=\"69863424\", alpha=\"0.13\", expect_size=\"34931712\"] \n  3 -> 4 [size =\"34931712\"]\n  3 -> 5 [size =\"34931712\"]\n  4 [size=\"79157248\", alpha=\"0.02\", expect_size=\"39578624\"] \n  4 -> 6 [size =\"39578624\"]\n  4 -> 7 [size =\"39578624\"]\n  5 [size=\"24440832\", alpha=\"0.09\", expect_size=\"12220416\"] \n  5 -> 6 [size =\"12220416\"]\n  5 -> 8 [size =\"12220416\"]\n  6 [size=\"37896192\", alpha=\"0.11\", expect_size=\"18948096\"] \n  6 -> 9 [size =\"18948096\"]\n  6 -> 10 [size =\"18948096\"]\n  6 -> 11 [size =\"18948096\"]\n  7 [size=\"30046208\", alpha=\"0.19\", expect_size=\"15023104\"] \n  7 -> 9 [size =\"15023104\"]\n  7 -> 11 [size =\"15023104\"]\n  8 [size=\"65193984\", alpha=\"0.01\", expect_size=\"32596992\"] \n  8 -> 9 [size =\"32596992\"]\n  8 -> 11 [size =\"32596992\"]\n  9 [size=\"81836032\", alpha=\"0.08\", expect_size=\"40918016\"] \n  9 -> 12 [size =\"40918016\"]\n  10 [size=\"35586048\", alpha=\"0.12\", expect_size=\"17793024\"] \n  10 -> 13 [size =\"17793024\"]\n  11 [size=\"58714112\", alpha=\"0.02\", expect_size=\"29357056\"] \n  11 -> 12 [size =\"29357056\"]\n  12 [size=\"92725248\", alpha=\"0.04\", expect_size=\"46362624\"] \n  12 -> 14 [size =\"46362624\"]\n  12 -> 15 [size =\"46362624\"]\n  13 [size=\"76914688\", alpha=\"0.19\", expect_size=\"38457344\"] \n  13 -> 15 [size =\"38457344\"]\n  14 [size=\"42231808\", alpha=\"0.17\", expect_size=\"21115904\"] \n  15 [size=\"49360896\", alpha=\"0.00\", expect_size=\"24680448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76249088\", alpha=\"0.09\", expect_size=\"38124544\"] \n  1 -> 3 [size =\"38124544\"]\n  1 -> 5 [size =\"38124544\"]\n  2 [size=\"38254592\", alpha=\"0.03\", expect_size=\"19127296\"] \n  2 -> 3 [size =\"19127296\"]\n  2 -> 4 [size =\"19127296\"]\n  3 [size=\"50841600\", alpha=\"0.12\", expect_size=\"25420800\"] \n  3 -> 7 [size =\"25420800\"]\n  3 -> 7 [size =\"25420800\"]\n  4 [size=\"23900160\", alpha=\"0.12\", expect_size=\"11950080\"] \n  4 -> 6 [size =\"11950080\"]\n  5 [size=\"13213696\", alpha=\"0.02\", expect_size=\"6606848\"] \n  5 -> 6 [size =\"6606848\"]\n  5 -> 7 [size =\"6606848\"]\n  6 [size=\"94742528\", alpha=\"0.15\", expect_size=\"47371264\"] \n  6 -> 8 [size =\"47371264\"]\n  6 -> 9 [size =\"47371264\"]\n  7 [size=\"25546752\", alpha=\"0.17\", expect_size=\"12773376\"] \n  7 -> 8 [size =\"12773376\"]\n  7 -> 9 [size =\"12773376\"]\n  8 [size=\"54173696\", alpha=\"0.14\", expect_size=\"27086848\"] \n  8 -> 10 [size =\"27086848\"]\n  8 -> 11 [size =\"27086848\"]\n  8 -> 12 [size =\"27086848\"]\n  9 [size=\"102903808\", alpha=\"0.07\", expect_size=\"51451904\"] \n  9 -> 11 [size =\"51451904\"]\n  9 -> 12 [size =\"51451904\"]\n  10 [size=\"19283968\", alpha=\"0.18\", expect_size=\"9641984\"] \n  10 -> 13 [size =\"9641984\"]\n  10 -> 14 [size =\"9641984\"]\n  10 -> 15 [size =\"9641984\"]\n  11 [size=\"83957760\", alpha=\"0.10\", expect_size=\"41978880\"] \n  11 -> 13 [size =\"41978880\"]\n  11 -> 14 [size =\"41978880\"]\n  12 [size=\"33914880\", alpha=\"0.13\", expect_size=\"16957440\"] \n  12 -> 13 [size =\"16957440\"]\n  12 -> 14 [size =\"16957440\"]\n  13 [size=\"48478208\", alpha=\"0.19\", expect_size=\"24239104\"] \n  14 [size=\"11995136\", alpha=\"0.05\", expect_size=\"5997568\"] \n  15 [size=\"68745216\", alpha=\"0.04\", expect_size=\"34372608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58414080\", alpha=\"0.07\", expect_size=\"23365632\"] \n  1 -> 2 [size =\"23365632\"]\n  2 [size=\"31559680\", alpha=\"0.03\", expect_size=\"12623872\"] \n  2 -> 3 [size =\"12623872\"]\n  3 [size=\"58099200\", alpha=\"0.14\", expect_size=\"23239680\"] \n  3 -> 4 [size =\"23239680\"]\n  4 [size=\"61616640\", alpha=\"0.02\", expect_size=\"24646656\"] \n  4 -> 5 [size =\"24646656\"]\n  5 [size=\"128322560\", alpha=\"0.16\", expect_size=\"51329024\"] \n  5 -> 6 [size =\"51329024\"]\n  6 [size=\"80038400\", alpha=\"0.05\", expect_size=\"32015360\"] \n  6 -> 7 [size =\"32015360\"]\n  7 [size=\"36881920\", alpha=\"0.13\", expect_size=\"14752768\"] \n  7 -> 8 [size =\"14752768\"]\n  8 [size=\"78215680\", alpha=\"0.04\", expect_size=\"31286272\"] \n  8 -> 9 [size =\"31286272\"]\n  9 [size=\"43407360\", alpha=\"0.03\", expect_size=\"17362944\"] \n  9 -> 10 [size =\"17362944\"]\n  10 [size=\"42293760\", alpha=\"0.01\", expect_size=\"16917504\"] \n  10 -> 11 [size =\"16917504\"]\n  11 [size=\"128460800\", alpha=\"0.20\", expect_size=\"51384320\"] \n  11 -> 12 [size =\"51384320\"]\n  12 [size=\"51968000\", alpha=\"0.17\", expect_size=\"20787200\"] \n  12 -> 13 [size =\"20787200\"]\n  13 [size=\"69219840\", alpha=\"0.09\", expect_size=\"27687936\"] \n  13 -> 14 [size =\"27687936\"]\n  14 [size=\"33049600\", alpha=\"0.11\", expect_size=\"13219840\"] \n  14 -> 15 [size =\"13219840\"]\n  15 [size=\"44833280\", alpha=\"0.18\", expect_size=\"17933312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16994304\", alpha=\"0.13\", expect_size=\"8497152\"] \n  1 -> 2 [size =\"8497152\"]\n  2 [size=\"97679360\", alpha=\"0.15\", expect_size=\"48839680\"] \n  2 -> 3 [size =\"48839680\"]\n  3 [size=\"58705920\", alpha=\"0.00\", expect_size=\"29352960\"] \n  3 -> 4 [size =\"29352960\"]\n  4 [size=\"69900288\", alpha=\"0.05\", expect_size=\"34950144\"] \n  4 -> 5 [size =\"34950144\"]\n  5 [size=\"92200960\", alpha=\"0.16\", expect_size=\"46100480\"] \n  5 -> 6 [size =\"46100480\"]\n  6 [size=\"31672320\", alpha=\"0.06\", expect_size=\"15836160\"] \n  6 -> 7 [size =\"15836160\"]\n  7 [size=\"99663872\", alpha=\"0.15\", expect_size=\"49831936\"] \n  7 -> 8 [size =\"49831936\"]\n  8 [size=\"64583680\", alpha=\"0.18\", expect_size=\"32291840\"] \n  8 -> 9 [size =\"32291840\"]\n  9 [size=\"25149440\", alpha=\"0.02\", expect_size=\"12574720\"] \n  9 -> 10 [size =\"12574720\"]\n  10 [size=\"70424576\", alpha=\"0.10\", expect_size=\"35212288\"] \n  10 -> 11 [size =\"35212288\"]\n  11 [size=\"79726592\", alpha=\"0.04\", expect_size=\"39863296\"] \n  11 -> 12 [size =\"39863296\"]\n  12 [size=\"45017088\", alpha=\"0.19\", expect_size=\"22508544\"] \n  12 -> 13 [size =\"22508544\"]\n  13 [size=\"19961856\", alpha=\"0.07\", expect_size=\"9980928\"] \n  13 -> 14 [size =\"9980928\"]\n  14 [size=\"21909504\", alpha=\"0.17\", expect_size=\"10954752\"] \n  14 -> 15 [size =\"10954752\"]\n  15 [size=\"47671296\", alpha=\"0.16\", expect_size=\"23835648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110717440\", alpha=\"0.07\", expect_size=\"44286976\"] \n  1 -> 14 [size =\"44286976\"]\n  1 -> 14 [size =\"44286976\"]\n  1 -> 15 [size =\"44286976\"]\n  2 [size=\"21596160\", alpha=\"0.05\", expect_size=\"8638464\"] \n  3 [size=\"95165440\", alpha=\"0.04\", expect_size=\"38066176\"] \n  3 -> 14 [size =\"38066176\"]\n  4 [size=\"108247040\", alpha=\"0.11\", expect_size=\"43298816\"] \n  4 -> 13 [size =\"43298816\"]\n  5 [size=\"23170560\", alpha=\"0.10\", expect_size=\"9268224\"] \n  5 -> 12 [size =\"9268224\"]\n  5 -> 15 [size =\"9268224\"]\n  6 [size=\"32568320\", alpha=\"0.02\", expect_size=\"13027328\"] \n  6 -> 15 [size =\"13027328\"]\n  7 [size=\"58432000\", alpha=\"0.16\", expect_size=\"23372800\"] \n  7 -> 12 [size =\"23372800\"]\n  7 -> 14 [size =\"23372800\"]\n  8 [size=\"103797760\", alpha=\"0.20\", expect_size=\"41519104\"] \n  8 -> 11 [size =\"41519104\"]\n  8 -> 14 [size =\"41519104\"]\n  9 [size=\"95618560\", alpha=\"0.13\", expect_size=\"38247424\"] \n  9 -> 11 [size =\"38247424\"]\n  9 -> 14 [size =\"38247424\"]\n  10 [size=\"125199360\", alpha=\"0.00\", expect_size=\"50079744\"] \n  10 -> 12 [size =\"50079744\"]\n  10 -> 14 [size =\"50079744\"]\n  11 [size=\"101847040\", alpha=\"0.10\", expect_size=\"40738816\"] \n  12 [size=\"23293440\", alpha=\"0.03\", expect_size=\"9317376\"] \n  13 [size=\"51648000\", alpha=\"0.16\", expect_size=\"20659200\"] \n  14 [size=\"75709440\", alpha=\"0.07\", expect_size=\"30283776\"] \n  15 [size=\"22231040\", alpha=\"0.17\", expect_size=\"8892416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71745536\", alpha=\"0.10\", expect_size=\"35872768\"] \n  1 -> 8 [size =\"35872768\"]\n  1 -> 10 [size =\"35872768\"]\n  2 [size=\"92968960\", alpha=\"0.16\", expect_size=\"46484480\"] \n  2 -> 9 [size =\"46484480\"]\n  2 -> 10 [size =\"46484480\"]\n  2 -> 11 [size =\"46484480\"]\n  3 [size=\"87439360\", alpha=\"0.03\", expect_size=\"43719680\"] \n  3 -> 8 [size =\"43719680\"]\n  3 -> 9 [size =\"43719680\"]\n  3 -> 10 [size =\"43719680\"]\n  3 -> 11 [size =\"43719680\"]\n  4 [size=\"43622400\", alpha=\"0.02\", expect_size=\"21811200\"] \n  5 [size=\"97167360\", alpha=\"0.14\", expect_size=\"48583680\"] \n  5 -> 7 [size =\"48583680\"]\n  6 [size=\"30345216\", alpha=\"0.11\", expect_size=\"15172608\"] \n  6 -> 7 [size =\"15172608\"]\n  6 -> 8 [size =\"15172608\"]\n  7 [size=\"33570816\", alpha=\"0.00\", expect_size=\"16785408\"] \n  7 -> 14 [size =\"16785408\"]\n  8 [size=\"16941056\", alpha=\"0.03\", expect_size=\"8470528\"] \n  9 [size=\"73971712\", alpha=\"0.02\", expect_size=\"36985856\"] \n  9 -> 12 [size =\"36985856\"]\n  9 -> 14 [size =\"36985856\"]\n  10 [size=\"31113216\", alpha=\"0.05\", expect_size=\"15556608\"] \n  10 -> 13 [size =\"15556608\"]\n  10 -> 15 [size =\"15556608\"]\n  11 [size=\"25174016\", alpha=\"0.09\", expect_size=\"12587008\"] \n  11 -> 14 [size =\"12587008\"]\n  11 -> 15 [size =\"12587008\"]\n  12 [size=\"74123264\", alpha=\"0.15\", expect_size=\"37061632\"] \n  13 [size=\"56434688\", alpha=\"0.10\", expect_size=\"28217344\"] \n  14 [size=\"69396480\", alpha=\"0.03\", expect_size=\"34698240\"] \n  15 [size=\"76638208\", alpha=\"0.01\", expect_size=\"38319104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23790933\", alpha=\"0.01\", expect_size=\"7137280\"] \n  2 [size=\"89477120\", alpha=\"0.18\", expect_size=\"26843136\"] \n  2 -> 15 [size =\"26843136\"]\n  3 [size=\"83633493\", alpha=\"0.05\", expect_size=\"25090048\"] \n  4 [size=\"168120320\", alpha=\"0.05\", expect_size=\"50436096\"] \n  5 [size=\"104946347\", alpha=\"0.05\", expect_size=\"31483904\"] \n  6 [size=\"53224107\", alpha=\"0.15\", expect_size=\"15967232\"] \n  7 [size=\"45769387\", alpha=\"0.12\", expect_size=\"13730816\"] \n  8 [size=\"137113600\", alpha=\"0.18\", expect_size=\"41134080\"] \n  9 [size=\"24903680\", alpha=\"0.00\", expect_size=\"7471104\"] \n  10 [size=\"51418453\", alpha=\"0.16\", expect_size=\"15425536\"] \n  10 -> 15 [size =\"15425536\"]\n  11 [size=\"44513280\", alpha=\"0.12\", expect_size=\"13353984\"] \n  12 [size=\"55876267\", alpha=\"0.04\", expect_size=\"16762880\"] \n  13 [size=\"43741867\", alpha=\"0.14\", expect_size=\"13122560\"] \n  14 [size=\"82216960\", alpha=\"0.07\", expect_size=\"24665088\"] \n  15 [size=\"122644480\", alpha=\"0.03\", expect_size=\"36793344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44339200\", alpha=\"0.19\", expect_size=\"17735680\"] \n  1 -> 3 [size =\"17735680\"]\n  1 -> 4 [size =\"17735680\"]\n  2 [size=\"55815680\", alpha=\"0.05\", expect_size=\"22326272\"] \n  2 -> 3 [size =\"22326272\"]\n  3 [size=\"85537280\", alpha=\"0.20\", expect_size=\"34214912\"] \n  3 -> 5 [size =\"34214912\"]\n  4 [size=\"23544320\", alpha=\"0.09\", expect_size=\"9417728\"] \n  4 -> 5 [size =\"9417728\"]\n  5 [size=\"73684480\", alpha=\"0.10\", expect_size=\"29473792\"] \n  5 -> 6 [size =\"29473792\"]\n  6 [size=\"114795520\", alpha=\"0.09\", expect_size=\"45918208\"] \n  6 -> 7 [size =\"45918208\"]\n  6 -> 8 [size =\"45918208\"]\n  7 [size=\"36856320\", alpha=\"0.03\", expect_size=\"14742528\"] \n  7 -> 9 [size =\"14742528\"]\n  8 [size=\"98227200\", alpha=\"0.06\", expect_size=\"39290880\"] \n  9 [size=\"30801920\", alpha=\"0.14\", expect_size=\"12320768\"] \n  9 -> 10 [size =\"12320768\"]\n  9 -> 11 [size =\"12320768\"]\n  10 [size=\"127129600\", alpha=\"0.15\", expect_size=\"50851840\"] \n  10 -> 12 [size =\"50851840\"]\n  10 -> 13 [size =\"50851840\"]\n  11 [size=\"86097920\", alpha=\"0.01\", expect_size=\"34439168\"] \n  11 -> 12 [size =\"34439168\"]\n  11 -> 13 [size =\"34439168\"]\n  12 [size=\"80655360\", alpha=\"0.11\", expect_size=\"32262144\"] \n  13 [size=\"110607360\", alpha=\"0.17\", expect_size=\"44242944\"] \n  13 -> 14 [size =\"44242944\"]\n  14 [size=\"108193280\", alpha=\"0.13\", expect_size=\"43277312\"] \n  14 -> 15 [size =\"43277312\"]\n  15 [size=\"44134400\", alpha=\"0.13\", expect_size=\"17653760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20899840\", alpha=\"0.17\", expect_size=\"8359936\"] \n  1 -> 7 [size =\"8359936\"]\n  1 -> 9 [size =\"8359936\"]\n  1 -> 10 [size =\"8359936\"]\n  1 -> 10 [size =\"8359936\"]\n  1 -> 11 [size =\"8359936\"]\n  2 [size=\"76277760\", alpha=\"0.13\", expect_size=\"30511104\"] \n  2 -> 7 [size =\"30511104\"]\n  2 -> 9 [size =\"30511104\"]\n  2 -> 11 [size =\"30511104\"]\n  3 [size=\"109573120\", alpha=\"0.02\", expect_size=\"43829248\"] \n  3 -> 6 [size =\"43829248\"]\n  3 -> 7 [size =\"43829248\"]\n  3 -> 8 [size =\"43829248\"]\n  3 -> 9 [size =\"43829248\"]\n  3 -> 10 [size =\"43829248\"]\n  3 -> 11 [size =\"43829248\"]\n  4 [size=\"42826240\", alpha=\"0.00\", expect_size=\"17130496\"] \n  4 -> 7 [size =\"17130496\"]\n  4 -> 8 [size =\"17130496\"]\n  4 -> 9 [size =\"17130496\"]\n  4 -> 11 [size =\"17130496\"]\n  5 [size=\"32885760\", alpha=\"0.06\", expect_size=\"13154304\"] \n  5 -> 6 [size =\"13154304\"]\n  5 -> 8 [size =\"13154304\"]\n  5 -> 9 [size =\"13154304\"]\n  5 -> 10 [size =\"13154304\"]\n  6 [size=\"114480640\", alpha=\"0.09\", expect_size=\"45792256\"] \n  6 -> 12 [size =\"45792256\"]\n  6 -> 13 [size =\"45792256\"]\n  6 -> 14 [size =\"45792256\"]\n  7 [size=\"78860800\", alpha=\"0.05\", expect_size=\"31544320\"] \n  7 -> 12 [size =\"31544320\"]\n  8 [size=\"122890240\", alpha=\"0.17\", expect_size=\"49156096\"] \n  8 -> 13 [size =\"49156096\"]\n  8 -> 14 [size =\"49156096\"]\n  9 [size=\"51678720\", alpha=\"0.19\", expect_size=\"20671488\"] \n  9 -> 12 [size =\"20671488\"]\n  9 -> 13 [size =\"20671488\"]\n  9 -> 15 [size =\"20671488\"]\n  10 [size=\"59328000\", alpha=\"0.11\", expect_size=\"23731200\"] \n  10 -> 13 [size =\"23731200\"]\n  11 [size=\"29575680\", alpha=\"0.07\", expect_size=\"11830272\"] \n  11 -> 12 [size =\"11830272\"]\n  11 -> 13 [size =\"11830272\"]\n  12 [size=\"128368640\", alpha=\"0.19\", expect_size=\"51347456\"] \n  13 [size=\"85696000\", alpha=\"0.15\", expect_size=\"34278400\"] \n  14 [size=\"97512960\", alpha=\"0.04\", expect_size=\"39005184\"] \n  15 [size=\"99440640\", alpha=\"0.14\", expect_size=\"39776256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26531840\", alpha=\"0.10\", expect_size=\"7959552\"] \n  1 -> 2 [size =\"7959552\"]\n  1 -> 3 [size =\"7959552\"]\n  2 [size=\"31784960\", alpha=\"0.16\", expect_size=\"9535488\"] \n  2 -> 4 [size =\"9535488\"]\n  3 [size=\"56982187\", alpha=\"0.12\", expect_size=\"17094656\"] \n  3 -> 4 [size =\"17094656\"]\n  4 [size=\"44677120\", alpha=\"0.10\", expect_size=\"13403136\"] \n  4 -> 5 [size =\"13403136\"]\n  5 [size=\"158877013\", alpha=\"0.16\", expect_size=\"47663104\"] \n  5 -> 6 [size =\"47663104\"]\n  5 -> 7 [size =\"47663104\"]\n  6 [size=\"132242773\", alpha=\"0.12\", expect_size=\"39672832\"] \n  6 -> 8 [size =\"39672832\"]\n  7 [size=\"39277227\", alpha=\"0.11\", expect_size=\"11783168\"] \n  7 -> 8 [size =\"11783168\"]\n  8 [size=\"95378773\", alpha=\"0.04\", expect_size=\"28613632\"] \n  8 -> 9 [size =\"28613632\"]\n  9 [size=\"139967147\", alpha=\"0.08\", expect_size=\"41990144\"] \n  9 -> 10 [size =\"41990144\"]\n  10 [size=\"101338453\", alpha=\"0.14\", expect_size=\"30401536\"] \n  10 -> 11 [size =\"30401536\"]\n  10 -> 12 [size =\"30401536\"]\n  11 [size=\"90344107\", alpha=\"0.15\", expect_size=\"27103232\"] \n  11 -> 13 [size =\"27103232\"]\n  12 [size=\"170048853\", alpha=\"0.12\", expect_size=\"51014656\"] \n  13 [size=\"140776107\", alpha=\"0.17\", expect_size=\"42232832\"] \n  13 -> 14 [size =\"42232832\"]\n  14 [size=\"80223573\", alpha=\"0.03\", expect_size=\"24067072\"] \n  14 -> 15 [size =\"24067072\"]\n  15 [size=\"157003093\", alpha=\"0.09\", expect_size=\"47100928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43372544\", alpha=\"0.15\", expect_size=\"21686272\"] \n  1 -> 10 [size =\"21686272\"]\n  1 -> 10 [size =\"21686272\"]\n  1 -> 11 [size =\"21686272\"]\n  2 [size=\"55988224\", alpha=\"0.07\", expect_size=\"27994112\"] \n  2 -> 10 [size =\"27994112\"]\n  2 -> 11 [size =\"27994112\"]\n  3 [size=\"72747008\", alpha=\"0.15\", expect_size=\"36373504\"] \n  3 -> 8 [size =\"36373504\"]\n  3 -> 9 [size =\"36373504\"]\n  4 [size=\"91779072\", alpha=\"0.10\", expect_size=\"45889536\"] \n  4 -> 8 [size =\"45889536\"]\n  4 -> 9 [size =\"45889536\"]\n  5 [size=\"58771456\", alpha=\"0.17\", expect_size=\"29385728\"] \n  5 -> 9 [size =\"29385728\"]\n  5 -> 9 [size =\"29385728\"]\n  5 -> 10 [size =\"29385728\"]\n  5 -> 11 [size =\"29385728\"]\n  6 [size=\"70821888\", alpha=\"0.15\", expect_size=\"35410944\"] \n  6 -> 8 [size =\"35410944\"]\n  6 -> 10 [size =\"35410944\"]\n  7 [size=\"84424704\", alpha=\"0.15\", expect_size=\"42212352\"] \n  7 -> 9 [size =\"42212352\"]\n  7 -> 10 [size =\"42212352\"]\n  8 [size=\"44521472\", alpha=\"0.05\", expect_size=\"22260736\"] \n  8 -> 12 [size =\"22260736\"]\n  9 [size=\"22147072\", alpha=\"0.05\", expect_size=\"11073536\"] \n  9 -> 13 [size =\"11073536\"]\n  10 [size=\"92973056\", alpha=\"0.10\", expect_size=\"46486528\"] \n  10 -> 12 [size =\"46486528\"]\n  10 -> 13 [size =\"46486528\"]\n  11 [size=\"89438208\", alpha=\"0.01\", expect_size=\"44719104\"] \n  11 -> 12 [size =\"44719104\"]\n  11 -> 14 [size =\"44719104\"]\n  11 -> 15 [size =\"44719104\"]\n  12 [size=\"63563776\", alpha=\"0.06\", expect_size=\"31781888\"] \n  13 [size=\"98131968\", alpha=\"0.03\", expect_size=\"49065984\"] \n  14 [size=\"75012096\", alpha=\"0.16\", expect_size=\"37506048\"] \n  15 [size=\"27013120\", alpha=\"0.00\", expect_size=\"13506560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79836160\", alpha=\"0.18\", expect_size=\"31934464\"] \n  2 [size=\"91525120\", alpha=\"0.07\", expect_size=\"36610048\"] \n  2 -> 14 [size =\"36610048\"]\n  2 -> 15 [size =\"36610048\"]\n  3 [size=\"127997440\", alpha=\"0.07\", expect_size=\"51198976\"] \n  3 -> 14 [size =\"51198976\"]\n  3 -> 15 [size =\"51198976\"]\n  4 [size=\"21923840\", alpha=\"0.05\", expect_size=\"8769536\"] \n  4 -> 15 [size =\"8769536\"]\n  5 [size=\"127498240\", alpha=\"0.01\", expect_size=\"50999296\"] \n  5 -> 14 [size =\"50999296\"]\n  5 -> 15 [size =\"50999296\"]\n  6 [size=\"56391680\", alpha=\"0.18\", expect_size=\"22556672\"] \n  6 -> 15 [size =\"22556672\"]\n  7 [size=\"60275200\", alpha=\"0.03\", expect_size=\"24110080\"] \n  8 [size=\"127234560\", alpha=\"0.04\", expect_size=\"50893824\"] \n  8 -> 14 [size =\"50893824\"]\n  8 -> 15 [size =\"50893824\"]\n  9 [size=\"29583360\", alpha=\"0.19\", expect_size=\"11833344\"] \n  9 -> 14 [size =\"11833344\"]\n  10 [size=\"54164480\", alpha=\"0.17\", expect_size=\"21665792\"] \n  11 [size=\"123264000\", alpha=\"0.16\", expect_size=\"49305600\"] \n  11 -> 14 [size =\"49305600\"]\n  11 -> 15 [size =\"49305600\"]\n  12 [size=\"112816640\", alpha=\"0.10\", expect_size=\"45126656\"] \n  13 [size=\"38727680\", alpha=\"0.17\", expect_size=\"15491072\"] \n  14 [size=\"78617600\", alpha=\"0.10\", expect_size=\"31447040\"] \n  15 [size=\"110904320\", alpha=\"0.19\", expect_size=\"44361728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98048000\", alpha=\"0.02\", expect_size=\"49024000\"] \n  1 -> 4 [size =\"49024000\"]\n  1 -> 5 [size =\"49024000\"]\n  2 [size=\"10496000\", alpha=\"0.18\", expect_size=\"5248000\"] \n  3 [size=\"54687744\", alpha=\"0.09\", expect_size=\"27343872\"] \n  3 -> 5 [size =\"27343872\"]\n  4 [size=\"43700224\", alpha=\"0.18\", expect_size=\"21850112\"] \n  4 -> 7 [size =\"21850112\"]\n  5 [size=\"96749568\", alpha=\"0.11\", expect_size=\"48374784\"] \n  5 -> 6 [size =\"48374784\"]\n  6 [size=\"57890816\", alpha=\"0.04\", expect_size=\"28945408\"] \n  6 -> 8 [size =\"28945408\"]\n  6 -> 10 [size =\"28945408\"]\n  7 [size=\"84180992\", alpha=\"0.01\", expect_size=\"42090496\"] \n  7 -> 9 [size =\"42090496\"]\n  8 [size=\"96110592\", alpha=\"0.10\", expect_size=\"48055296\"] \n  8 -> 13 [size =\"48055296\"]\n  9 [size=\"42539008\", alpha=\"0.18\", expect_size=\"21269504\"] \n  9 -> 11 [size =\"21269504\"]\n  9 -> 12 [size =\"21269504\"]\n  10 [size=\"58836992\", alpha=\"0.14\", expect_size=\"29418496\"] \n  11 [size=\"21901312\", alpha=\"0.03\", expect_size=\"10950656\"] \n  11 -> 15 [size =\"10950656\"]\n  12 [size=\"30181376\", alpha=\"0.10\", expect_size=\"15090688\"] \n  12 -> 14 [size =\"15090688\"]\n  13 [size=\"20944896\", alpha=\"0.08\", expect_size=\"10472448\"] \n  14 [size=\"64110592\", alpha=\"0.07\", expect_size=\"32055296\"] \n  15 [size=\"54775808\", alpha=\"0.01\", expect_size=\"27387904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106007040\", alpha=\"0.07\", expect_size=\"42402816\"] \n  1 -> 2 [size =\"42402816\"]\n  2 [size=\"15997440\", alpha=\"0.16\", expect_size=\"6398976\"] \n  2 -> 3 [size =\"6398976\"]\n  3 [size=\"127362560\", alpha=\"0.18\", expect_size=\"50945024\"] \n  3 -> 4 [size =\"50945024\"]\n  4 [size=\"112870400\", alpha=\"0.10\", expect_size=\"45148160\"] \n  4 -> 5 [size =\"45148160\"]\n  5 [size=\"53096960\", alpha=\"0.18\", expect_size=\"21238784\"] \n  5 -> 6 [size =\"21238784\"]\n  6 [size=\"44497920\", alpha=\"0.04\", expect_size=\"17799168\"] \n  6 -> 7 [size =\"17799168\"]\n  7 [size=\"13117440\", alpha=\"0.19\", expect_size=\"5246976\"] \n  7 -> 8 [size =\"5246976\"]\n  8 [size=\"46814720\", alpha=\"0.01\", expect_size=\"18725888\"] \n  8 -> 9 [size =\"18725888\"]\n  9 [size=\"24217600\", alpha=\"0.00\", expect_size=\"9687040\"] \n  9 -> 10 [size =\"9687040\"]\n  10 [size=\"60259840\", alpha=\"0.00\", expect_size=\"24103936\"] \n  10 -> 11 [size =\"24103936\"]\n  11 [size=\"25249280\", alpha=\"0.06\", expect_size=\"10099712\"] \n  11 -> 12 [size =\"10099712\"]\n  12 [size=\"68623360\", alpha=\"0.19\", expect_size=\"27449344\"] \n  12 -> 13 [size =\"27449344\"]\n  13 [size=\"42211840\", alpha=\"0.19\", expect_size=\"16884736\"] \n  13 -> 14 [size =\"16884736\"]\n  14 [size=\"32509440\", alpha=\"0.19\", expect_size=\"13003776\"] \n  14 -> 15 [size =\"13003776\"]\n  15 [size=\"91233280\", alpha=\"0.09\", expect_size=\"36493312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93286400\", alpha=\"0.05\", expect_size=\"46643200\"] \n  1 -> 3 [size =\"46643200\"]\n  1 -> 4 [size =\"46643200\"]\n  2 [size=\"103165952\", alpha=\"0.05\", expect_size=\"51582976\"] \n  2 -> 3 [size =\"51582976\"]\n  3 [size=\"85207040\", alpha=\"0.06\", expect_size=\"42603520\"] \n  3 -> 5 [size =\"42603520\"]\n  4 [size=\"13211648\", alpha=\"0.12\", expect_size=\"6605824\"] \n  4 -> 5 [size =\"6605824\"]\n  5 [size=\"99706880\", alpha=\"0.05\", expect_size=\"49853440\"] \n  5 -> 6 [size =\"49853440\"]\n  5 -> 7 [size =\"49853440\"]\n  6 [size=\"21018624\", alpha=\"0.06\", expect_size=\"10509312\"] \n  6 -> 8 [size =\"10509312\"]\n  7 [size=\"86861824\", alpha=\"0.11\", expect_size=\"43430912\"] \n  7 -> 8 [size =\"43430912\"]\n  8 [size=\"69898240\", alpha=\"0.17\", expect_size=\"34949120\"] \n  8 -> 9 [size =\"34949120\"]\n  9 [size=\"48111616\", alpha=\"0.18\", expect_size=\"24055808\"] \n  9 -> 10 [size =\"24055808\"]\n  9 -> 11 [size =\"24055808\"]\n  10 [size=\"14923776\", alpha=\"0.02\", expect_size=\"7461888\"] \n  10 -> 12 [size =\"7461888\"]\n  11 [size=\"77950976\", alpha=\"0.07\", expect_size=\"38975488\"] \n  11 -> 12 [size =\"38975488\"]\n  12 [size=\"103376896\", alpha=\"0.15\", expect_size=\"51688448\"] \n  12 -> 13 [size =\"51688448\"]\n  13 [size=\"34459648\", alpha=\"0.14\", expect_size=\"17229824\"] \n  13 -> 14 [size =\"17229824\"]\n  13 -> 15 [size =\"17229824\"]\n  14 [size=\"62701568\", alpha=\"0.08\", expect_size=\"31350784\"] \n  15 [size=\"25878528\", alpha=\"0.07\", expect_size=\"12939264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124368213\", alpha=\"0.09\", expect_size=\"37310464\"] \n  1 -> 2 [size =\"37310464\"]\n  2 [size=\"123552427\", alpha=\"0.17\", expect_size=\"37065728\"] \n  2 -> 3 [size =\"37065728\"]\n  3 [size=\"128314027\", alpha=\"0.04\", expect_size=\"38494208\"] \n  3 -> 4 [size =\"38494208\"]\n  4 [size=\"46161920\", alpha=\"0.08\", expect_size=\"13848576\"] \n  4 -> 5 [size =\"13848576\"]\n  5 [size=\"122791253\", alpha=\"0.04\", expect_size=\"36837376\"] \n  5 -> 6 [size =\"36837376\"]\n  6 [size=\"140260693\", alpha=\"0.06\", expect_size=\"42078208\"] \n  6 -> 7 [size =\"42078208\"]\n  7 [size=\"42618880\", alpha=\"0.06\", expect_size=\"12785664\"] \n  7 -> 8 [size =\"12785664\"]\n  8 [size=\"119231147\", alpha=\"0.19\", expect_size=\"35769344\"] \n  8 -> 9 [size =\"35769344\"]\n  9 [size=\"88401920\", alpha=\"0.17\", expect_size=\"26520576\"] \n  9 -> 10 [size =\"26520576\"]\n  10 [size=\"95156907\", alpha=\"0.08\", expect_size=\"28547072\"] \n  10 -> 11 [size =\"28547072\"]\n  11 [size=\"81913173\", alpha=\"0.11\", expect_size=\"24573952\"] \n  11 -> 12 [size =\"24573952\"]\n  12 [size=\"152466773\", alpha=\"0.18\", expect_size=\"45740032\"] \n  12 -> 13 [size =\"45740032\"]\n  13 [size=\"125648213\", alpha=\"0.05\", expect_size=\"37694464\"] \n  13 -> 14 [size =\"37694464\"]\n  14 [size=\"155357867\", alpha=\"0.16\", expect_size=\"46607360\"] \n  14 -> 15 [size =\"46607360\"]\n  15 [size=\"59723093\", alpha=\"0.16\", expect_size=\"17916928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18155520\", alpha=\"0.07\", expect_size=\"5446656\"] \n  1 -> 3 [size =\"5446656\"]\n  1 -> 4 [size =\"5446656\"]\n  2 [size=\"154606933\", alpha=\"0.08\", expect_size=\"46382080\"] \n  2 -> 3 [size =\"46382080\"]\n  2 -> 4 [size =\"46382080\"]\n  3 [size=\"112595627\", alpha=\"0.20\", expect_size=\"33778688\"] \n  3 -> 5 [size =\"33778688\"]\n  3 -> 6 [size =\"33778688\"]\n  4 [size=\"28163413\", alpha=\"0.20\", expect_size=\"8449024\"] \n  4 -> 5 [size =\"8449024\"]\n  4 -> 6 [size =\"8449024\"]\n  5 [size=\"68068693\", alpha=\"0.09\", expect_size=\"20420608\"] \n  5 -> 7 [size =\"20420608\"]\n  6 [size=\"41345707\", alpha=\"0.06\", expect_size=\"12403712\"] \n  6 -> 7 [size =\"12403712\"]\n  7 [size=\"107550720\", alpha=\"0.17\", expect_size=\"32265216\"] \n  7 -> 8 [size =\"32265216\"]\n  8 [size=\"100372480\", alpha=\"0.15\", expect_size=\"30111744\"] \n  8 -> 9 [size =\"30111744\"]\n  8 -> 10 [size =\"30111744\"]\n  9 [size=\"98344960\", alpha=\"0.03\", expect_size=\"29503488\"] \n  9 -> 12 [size =\"29503488\"]\n  10 [size=\"87620267\", alpha=\"0.17\", expect_size=\"26286080\"] \n  10 -> 11 [size =\"26286080\"]\n  10 -> 12 [size =\"26286080\"]\n  11 [size=\"74823680\", alpha=\"0.16\", expect_size=\"22447104\"] \n  11 -> 13 [size =\"22447104\"]\n  11 -> 14 [size =\"22447104\"]\n  12 [size=\"133188267\", alpha=\"0.09\", expect_size=\"39956480\"] \n  12 -> 13 [size =\"39956480\"]\n  12 -> 14 [size =\"39956480\"]\n  13 [size=\"39468373\", alpha=\"0.10\", expect_size=\"11840512\"] \n  13 -> 15 [size =\"11840512\"]\n  14 [size=\"36823040\", alpha=\"0.03\", expect_size=\"11046912\"] \n  14 -> 15 [size =\"11046912\"]\n  15 [size=\"33901227\", alpha=\"0.18\", expect_size=\"10170368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74942464\", alpha=\"0.17\", expect_size=\"37471232\"] \n  2 [size=\"86556672\", alpha=\"0.00\", expect_size=\"43278336\"] \n  2 -> 10 [size =\"43278336\"]\n  3 [size=\"26116096\", alpha=\"0.14\", expect_size=\"13058048\"] \n  3 -> 11 [size =\"13058048\"]\n  4 [size=\"73218048\", alpha=\"0.08\", expect_size=\"36609024\"] \n  4 -> 11 [size =\"36609024\"]\n  5 [size=\"11640832\", alpha=\"0.10\", expect_size=\"5820416\"] \n  5 -> 9 [size =\"5820416\"]\n  6 [size=\"99213312\", alpha=\"0.02\", expect_size=\"49606656\"] \n  6 -> 9 [size =\"49606656\"]\n  6 -> 11 [size =\"49606656\"]\n  7 [size=\"49467392\", alpha=\"0.03\", expect_size=\"24733696\"] \n  7 -> 8 [size =\"24733696\"]\n  7 -> 10 [size =\"24733696\"]\n  8 [size=\"19017728\", alpha=\"0.14\", expect_size=\"9508864\"] \n  8 -> 12 [size =\"9508864\"]\n  8 -> 13 [size =\"9508864\"]\n  8 -> 14 [size =\"9508864\"]\n  8 -> 15 [size =\"9508864\"]\n  9 [size=\"99100672\", alpha=\"0.09\", expect_size=\"49550336\"] \n  9 -> 14 [size =\"49550336\"]\n  9 -> 15 [size =\"49550336\"]\n  10 [size=\"79323136\", alpha=\"0.14\", expect_size=\"39661568\"] \n  10 -> 12 [size =\"39661568\"]\n  11 [size=\"40294400\", alpha=\"0.08\", expect_size=\"20147200\"] \n  11 -> 12 [size =\"20147200\"]\n  12 [size=\"27686912\", alpha=\"0.05\", expect_size=\"13843456\"] \n  13 [size=\"29696000\", alpha=\"0.03\", expect_size=\"14848000\"] \n  14 [size=\"94347264\", alpha=\"0.19\", expect_size=\"47173632\"] \n  15 [size=\"35442688\", alpha=\"0.06\", expect_size=\"17721344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85872640\", alpha=\"0.01\", expect_size=\"34349056\"] \n  1 -> 7 [size =\"34349056\"]\n  1 -> 9 [size =\"34349056\"]\n  1 -> 10 [size =\"34349056\"]\n  2 [size=\"61301760\", alpha=\"0.07\", expect_size=\"24520704\"] \n  2 -> 7 [size =\"24520704\"]\n  2 -> 9 [size =\"24520704\"]\n  2 -> 10 [size =\"24520704\"]\n  3 [size=\"65858560\", alpha=\"0.09\", expect_size=\"26343424\"] \n  3 -> 9 [size =\"26343424\"]\n  4 [size=\"59036160\", alpha=\"0.19\", expect_size=\"23614464\"] \n  5 [size=\"41024000\", alpha=\"0.07\", expect_size=\"16409600\"] \n  5 -> 7 [size =\"16409600\"]\n  6 [size=\"50196480\", alpha=\"0.01\", expect_size=\"20078592\"] \n  6 -> 8 [size =\"20078592\"]\n  6 -> 9 [size =\"20078592\"]\n  6 -> 10 [size =\"20078592\"]\n  7 [size=\"78855680\", alpha=\"0.01\", expect_size=\"31542272\"] \n  7 -> 12 [size =\"31542272\"]\n  8 [size=\"123264000\", alpha=\"0.17\", expect_size=\"49305600\"] \n  8 -> 11 [size =\"49305600\"]\n  9 [size=\"76252160\", alpha=\"0.20\", expect_size=\"30500864\"] \n  9 -> 12 [size =\"30500864\"]\n  10 [size=\"39052800\", alpha=\"0.04\", expect_size=\"15621120\"] \n  10 -> 13 [size =\"15621120\"]\n  10 -> 14 [size =\"15621120\"]\n  11 [size=\"18636800\", alpha=\"0.10\", expect_size=\"7454720\"] \n  11 -> 15 [size =\"7454720\"]\n  12 [size=\"22507520\", alpha=\"0.13\", expect_size=\"9003008\"] \n  13 [size=\"62714880\", alpha=\"0.13\", expect_size=\"25085952\"] \n  14 [size=\"118709760\", alpha=\"0.00\", expect_size=\"47483904\"] \n  15 [size=\"111700480\", alpha=\"0.01\", expect_size=\"44680192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114030080\", alpha=\"0.11\", expect_size=\"45612032\"] \n  1 -> 2 [size =\"45612032\"]\n  2 [size=\"38993920\", alpha=\"0.18\", expect_size=\"15597568\"] \n  2 -> 3 [size =\"15597568\"]\n  3 [size=\"29416960\", alpha=\"0.13\", expect_size=\"11766784\"] \n  3 -> 4 [size =\"11766784\"]\n  4 [size=\"74375680\", alpha=\"0.01\", expect_size=\"29750272\"] \n  4 -> 5 [size =\"29750272\"]\n  5 [size=\"99729920\", alpha=\"0.05\", expect_size=\"39891968\"] \n  5 -> 6 [size =\"39891968\"]\n  6 [size=\"96872960\", alpha=\"0.12\", expect_size=\"38749184\"] \n  6 -> 7 [size =\"38749184\"]\n  7 [size=\"73369600\", alpha=\"0.12\", expect_size=\"29347840\"] \n  7 -> 8 [size =\"29347840\"]\n  8 [size=\"103352320\", alpha=\"0.02\", expect_size=\"41340928\"] \n  8 -> 9 [size =\"41340928\"]\n  9 [size=\"14707200\", alpha=\"0.11\", expect_size=\"5882880\"] \n  9 -> 10 [size =\"5882880\"]\n  10 [size=\"54681600\", alpha=\"0.11\", expect_size=\"21872640\"] \n  10 -> 11 [size =\"21872640\"]\n  11 [size=\"36928000\", alpha=\"0.03\", expect_size=\"14771200\"] \n  11 -> 12 [size =\"14771200\"]\n  12 [size=\"103416320\", alpha=\"0.16\", expect_size=\"41366528\"] \n  12 -> 13 [size =\"41366528\"]\n  13 [size=\"92720640\", alpha=\"0.05\", expect_size=\"37088256\"] \n  13 -> 14 [size =\"37088256\"]\n  14 [size=\"52467200\", alpha=\"0.12\", expect_size=\"20986880\"] \n  14 -> 15 [size =\"20986880\"]\n  15 [size=\"60825600\", alpha=\"0.07\", expect_size=\"24330240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93798400\", alpha=\"0.12\", expect_size=\"28139520\"] \n  1 -> 2 [size =\"28139520\"]\n  1 -> 3 [size =\"28139520\"]\n  2 [size=\"32699733\", alpha=\"0.16\", expect_size=\"9809920\"] \n  2 -> 4 [size =\"9809920\"]\n  2 -> 5 [size =\"9809920\"]\n  3 [size=\"90398720\", alpha=\"0.02\", expect_size=\"27119616\"] \n  3 -> 4 [size =\"27119616\"]\n  3 -> 5 [size =\"27119616\"]\n  4 [size=\"168874667\", alpha=\"0.15\", expect_size=\"50662400\"] \n  5 [size=\"154265600\", alpha=\"0.20\", expect_size=\"46279680\"] \n  5 -> 6 [size =\"46279680\"]\n  6 [size=\"151541760\", alpha=\"0.03\", expect_size=\"45462528\"] \n  6 -> 7 [size =\"45462528\"]\n  6 -> 8 [size =\"45462528\"]\n  7 [size=\"81489920\", alpha=\"0.19\", expect_size=\"24446976\"] \n  7 -> 9 [size =\"24446976\"]\n  8 [size=\"100092587\", alpha=\"0.17\", expect_size=\"30027776\"] \n  8 -> 9 [size =\"30027776\"]\n  9 [size=\"116985173\", alpha=\"0.01\", expect_size=\"35095552\"] \n  9 -> 10 [size =\"35095552\"]\n  10 [size=\"34696533\", alpha=\"0.18\", expect_size=\"10408960\"] \n  10 -> 11 [size =\"10408960\"]\n  10 -> 12 [size =\"10408960\"]\n  11 [size=\"141547520\", alpha=\"0.11\", expect_size=\"42464256\"] \n  11 -> 13 [size =\"42464256\"]\n  11 -> 14 [size =\"42464256\"]\n  12 [size=\"75414187\", alpha=\"0.08\", expect_size=\"22624256\"] \n  12 -> 13 [size =\"22624256\"]\n  12 -> 14 [size =\"22624256\"]\n  13 [size=\"40574293\", alpha=\"0.20\", expect_size=\"12172288\"] \n  13 -> 15 [size =\"12172288\"]\n  14 [size=\"57873067\", alpha=\"0.01\", expect_size=\"17361920\"] \n  15 [size=\"18739200\", alpha=\"0.19\", expect_size=\"5621760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28954624\", alpha=\"0.09\", expect_size=\"14477312\"] \n  2 [size=\"90206208\", alpha=\"0.10\", expect_size=\"45103104\"] \n  2 -> 3 [size =\"45103104\"]\n  2 -> 4 [size =\"45103104\"]\n  3 [size=\"93276160\", alpha=\"0.06\", expect_size=\"46638080\"] \n  3 -> 5 [size =\"46638080\"]\n  3 -> 6 [size =\"46638080\"]\n  3 -> 7 [size =\"46638080\"]\n  4 [size=\"28579840\", alpha=\"0.12\", expect_size=\"14289920\"] \n  5 [size=\"56637440\", alpha=\"0.04\", expect_size=\"28318720\"] \n  5 -> 8 [size =\"28318720\"]\n  5 -> 9 [size =\"28318720\"]\n  5 -> 10 [size =\"28318720\"]\n  6 [size=\"43571200\", alpha=\"0.13\", expect_size=\"21785600\"] \n  6 -> 8 [size =\"21785600\"]\n  6 -> 10 [size =\"21785600\"]\n  7 [size=\"98377728\", alpha=\"0.18\", expect_size=\"49188864\"] \n  7 -> 9 [size =\"49188864\"]\n  8 [size=\"11194368\", alpha=\"0.09\", expect_size=\"5597184\"] \n  8 -> 11 [size =\"5597184\"]\n  8 -> 12 [size =\"5597184\"]\n  8 -> 13 [size =\"5597184\"]\n  9 [size=\"72982528\", alpha=\"0.10\", expect_size=\"36491264\"] \n  9 -> 13 [size =\"36491264\"]\n  10 [size=\"26484736\", alpha=\"0.04\", expect_size=\"13242368\"] \n  10 -> 11 [size =\"13242368\"]\n  11 [size=\"38983680\", alpha=\"0.18\", expect_size=\"19491840\"] \n  11 -> 14 [size =\"19491840\"]\n  11 -> 15 [size =\"19491840\"]\n  12 [size=\"82806784\", alpha=\"0.18\", expect_size=\"41403392\"] \n  13 [size=\"33640448\", alpha=\"0.02\", expect_size=\"16820224\"] \n  13 -> 15 [size =\"16820224\"]\n  14 [size=\"62613504\", alpha=\"0.18\", expect_size=\"31306752\"] \n  15 [size=\"25819136\", alpha=\"0.04\", expect_size=\"12909568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21987328\", alpha=\"0.02\", expect_size=\"10993664\"] \n  1 -> 12 [size =\"10993664\"]\n  1 -> 15 [size =\"10993664\"]\n  2 [size=\"65722368\", alpha=\"0.16\", expect_size=\"32861184\"] \n  2 -> 12 [size =\"32861184\"]\n  2 -> 13 [size =\"32861184\"]\n  2 -> 14 [size =\"32861184\"]\n  2 -> 15 [size =\"32861184\"]\n  3 [size=\"18874368\", alpha=\"0.11\", expect_size=\"9437184\"] \n  3 -> 15 [size =\"9437184\"]\n  4 [size=\"87791616\", alpha=\"0.16\", expect_size=\"43895808\"] \n  5 [size=\"39729152\", alpha=\"0.04\", expect_size=\"19864576\"] \n  5 -> 15 [size =\"19864576\"]\n  6 [size=\"25800704\", alpha=\"0.03\", expect_size=\"12900352\"] \n  6 -> 15 [size =\"12900352\"]\n  7 [size=\"91586560\", alpha=\"0.04\", expect_size=\"45793280\"] \n  7 -> 12 [size =\"45793280\"]\n  8 [size=\"48691200\", alpha=\"0.06\", expect_size=\"24345600\"] \n  9 [size=\"43804672\", alpha=\"0.06\", expect_size=\"21902336\"] \n  9 -> 12 [size =\"21902336\"]\n  9 -> 13 [size =\"21902336\"]\n  9 -> 14 [size =\"21902336\"]\n  9 -> 15 [size =\"21902336\"]\n  10 [size=\"71501824\", alpha=\"0.17\", expect_size=\"35750912\"] \n  10 -> 12 [size =\"35750912\"]\n  10 -> 13 [size =\"35750912\"]\n  11 [size=\"104671232\", alpha=\"0.15\", expect_size=\"52335616\"] \n  11 -> 12 [size =\"52335616\"]\n  12 [size=\"19443712\", alpha=\"0.04\", expect_size=\"9721856\"] \n  13 [size=\"92876800\", alpha=\"0.14\", expect_size=\"46438400\"] \n  14 [size=\"48916480\", alpha=\"0.18\", expect_size=\"24458240\"] \n  15 [size=\"31645696\", alpha=\"0.01\", expect_size=\"15822848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13094912\", alpha=\"0.17\", expect_size=\"6547456\"] \n  1 -> 5 [size =\"6547456\"]\n  2 [size=\"29431808\", alpha=\"0.11\", expect_size=\"14715904\"] \n  2 -> 5 [size =\"14715904\"]\n  2 -> 6 [size =\"14715904\"]\n  3 [size=\"71264256\", alpha=\"0.08\", expect_size=\"35632128\"] \n  3 -> 4 [size =\"35632128\"]\n  3 -> 5 [size =\"35632128\"]\n  3 -> 6 [size =\"35632128\"]\n  4 [size=\"85456896\", alpha=\"0.11\", expect_size=\"42728448\"] \n  4 -> 8 [size =\"42728448\"]\n  5 [size=\"75831296\", alpha=\"0.19\", expect_size=\"37915648\"] \n  5 -> 7 [size =\"37915648\"]\n  5 -> 8 [size =\"37915648\"]\n  6 [size=\"11055104\", alpha=\"0.12\", expect_size=\"5527552\"] \n  6 -> 8 [size =\"5527552\"]\n  6 -> 9 [size =\"5527552\"]\n  7 [size=\"71768064\", alpha=\"0.15\", expect_size=\"35884032\"] \n  7 -> 10 [size =\"35884032\"]\n  7 -> 11 [size =\"35884032\"]\n  8 [size=\"36466688\", alpha=\"0.10\", expect_size=\"18233344\"] \n  8 -> 10 [size =\"18233344\"]\n  8 -> 11 [size =\"18233344\"]\n  8 -> 12 [size =\"18233344\"]\n  9 [size=\"36661248\", alpha=\"0.05\", expect_size=\"18330624\"] \n  9 -> 11 [size =\"18330624\"]\n  9 -> 12 [size =\"18330624\"]\n  10 [size=\"100653056\", alpha=\"0.16\", expect_size=\"50326528\"] \n  10 -> 14 [size =\"50326528\"]\n  10 -> 15 [size =\"50326528\"]\n  11 [size=\"97392640\", alpha=\"0.19\", expect_size=\"48696320\"] \n  11 -> 13 [size =\"48696320\"]\n  11 -> 15 [size =\"48696320\"]\n  12 [size=\"85002240\", alpha=\"0.13\", expect_size=\"42501120\"] \n  12 -> 14 [size =\"42501120\"]\n  12 -> 15 [size =\"42501120\"]\n  13 [size=\"42881024\", alpha=\"0.13\", expect_size=\"21440512\"] \n  14 [size=\"82624512\", alpha=\"0.04\", expect_size=\"41312256\"] \n  15 [size=\"41992192\", alpha=\"0.20\", expect_size=\"20996096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26741760\", alpha=\"0.09\", expect_size=\"10696704\"] \n  1 -> 4 [size =\"10696704\"]\n  1 -> 5 [size =\"10696704\"]\n  1 -> 6 [size =\"10696704\"]\n  2 [size=\"129047040\", alpha=\"0.05\", expect_size=\"51618816\"] \n  2 -> 6 [size =\"51618816\"]\n  3 [size=\"45352960\", alpha=\"0.02\", expect_size=\"18141184\"] \n  3 -> 5 [size =\"18141184\"]\n  4 [size=\"38640640\", alpha=\"0.00\", expect_size=\"15456256\"] \n  5 [size=\"127155200\", alpha=\"0.00\", expect_size=\"50862080\"] \n  5 -> 8 [size =\"50862080\"]\n  6 [size=\"20654080\", alpha=\"0.00\", expect_size=\"8261632\"] \n  6 -> 7 [size =\"8261632\"]\n  6 -> 8 [size =\"8261632\"]\n  7 [size=\"62784000\", alpha=\"0.07\", expect_size=\"25113600\"] \n  7 -> 9 [size =\"25113600\"]\n  8 [size=\"129075200\", alpha=\"0.08\", expect_size=\"51630080\"] \n  8 -> 10 [size =\"51630080\"]\n  9 [size=\"79843840\", alpha=\"0.13\", expect_size=\"31937536\"] \n  9 -> 11 [size =\"31937536\"]\n  9 -> 12 [size =\"31937536\"]\n  10 [size=\"103933440\", alpha=\"0.00\", expect_size=\"41573376\"] \n  10 -> 11 [size =\"41573376\"]\n  10 -> 12 [size =\"41573376\"]\n  11 [size=\"32655360\", alpha=\"0.17\", expect_size=\"13062144\"] \n  11 -> 13 [size =\"13062144\"]\n  11 -> 14 [size =\"13062144\"]\n  12 [size=\"87121920\", alpha=\"0.10\", expect_size=\"34848768\"] \n  12 -> 14 [size =\"34848768\"]\n  13 [size=\"118517760\", alpha=\"0.13\", expect_size=\"47407104\"] \n  13 -> 15 [size =\"47407104\"]\n  14 [size=\"130135040\", alpha=\"0.07\", expect_size=\"52054016\"] \n  15 [size=\"130826240\", alpha=\"0.10\", expect_size=\"52330496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90094933\", alpha=\"0.14\", expect_size=\"27028480\"] \n  1 -> 2 [size =\"27028480\"]\n  2 [size=\"121784320\", alpha=\"0.03\", expect_size=\"36535296\"] \n  2 -> 3 [size =\"36535296\"]\n  3 [size=\"126631253\", alpha=\"0.08\", expect_size=\"37989376\"] \n  3 -> 4 [size =\"37989376\"]\n  4 [size=\"148138667\", alpha=\"0.14\", expect_size=\"44441600\"] \n  4 -> 5 [size =\"44441600\"]\n  5 [size=\"50012160\", alpha=\"0.18\", expect_size=\"15003648\"] \n  5 -> 6 [size =\"15003648\"]\n  6 [size=\"157480960\", alpha=\"0.18\", expect_size=\"47244288\"] \n  6 -> 7 [size =\"47244288\"]\n  7 [size=\"130672640\", alpha=\"0.14\", expect_size=\"39201792\"] \n  7 -> 8 [size =\"39201792\"]\n  8 [size=\"125184000\", alpha=\"0.03\", expect_size=\"37555200\"] \n  8 -> 9 [size =\"37555200\"]\n  9 [size=\"94778027\", alpha=\"0.15\", expect_size=\"28433408\"] \n  9 -> 10 [size =\"28433408\"]\n  10 [size=\"167413760\", alpha=\"0.15\", expect_size=\"50224128\"] \n  10 -> 11 [size =\"50224128\"]\n  11 [size=\"131304107\", alpha=\"0.04\", expect_size=\"39391232\"] \n  11 -> 12 [size =\"39391232\"]\n  12 [size=\"86067200\", alpha=\"0.19\", expect_size=\"25820160\"] \n  12 -> 13 [size =\"25820160\"]\n  13 [size=\"108178773\", alpha=\"0.19\", expect_size=\"32453632\"] \n  13 -> 14 [size =\"32453632\"]\n  14 [size=\"167874560\", alpha=\"0.03\", expect_size=\"50362368\"] \n  14 -> 15 [size =\"50362368\"]\n  15 [size=\"117633707\", alpha=\"0.07\", expect_size=\"35290112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123514880\", alpha=\"0.14\", expect_size=\"49405952\"] \n  1 -> 11 [size =\"49405952\"]\n  1 -> 13 [size =\"49405952\"]\n  2 [size=\"120235520\", alpha=\"0.01\", expect_size=\"48094208\"] \n  2 -> 9 [size =\"48094208\"]\n  2 -> 10 [size =\"48094208\"]\n  2 -> 11 [size =\"48094208\"]\n  3 [size=\"62584320\", alpha=\"0.02\", expect_size=\"25033728\"] \n  3 -> 10 [size =\"25033728\"]\n  3 -> 14 [size =\"25033728\"]\n  3 -> 15 [size =\"25033728\"]\n  4 [size=\"47050240\", alpha=\"0.12\", expect_size=\"18820096\"] \n  4 -> 13 [size =\"18820096\"]\n  4 -> 14 [size =\"18820096\"]\n  5 [size=\"43333120\", alpha=\"0.06\", expect_size=\"17333248\"] \n  5 -> 8 [size =\"17333248\"]\n  5 -> 9 [size =\"17333248\"]\n  5 -> 13 [size =\"17333248\"]\n  5 -> 15 [size =\"17333248\"]\n  6 [size=\"100874240\", alpha=\"0.02\", expect_size=\"40349696\"] \n  6 -> 12 [size =\"40349696\"]\n  6 -> 15 [size =\"40349696\"]\n  7 [size=\"106168320\", alpha=\"0.08\", expect_size=\"42467328\"] \n  7 -> 10 [size =\"42467328\"]\n  7 -> 11 [size =\"42467328\"]\n  7 -> 13 [size =\"42467328\"]\n  8 [size=\"86947840\", alpha=\"0.03\", expect_size=\"34779136\"] \n  9 [size=\"25474560\", alpha=\"0.07\", expect_size=\"10189824\"] \n  10 [size=\"74588160\", alpha=\"0.11\", expect_size=\"29835264\"] \n  11 [size=\"113272320\", alpha=\"0.17\", expect_size=\"45308928\"] \n  12 [size=\"77713920\", alpha=\"0.19\", expect_size=\"31085568\"] \n  13 [size=\"83041280\", alpha=\"0.20\", expect_size=\"33216512\"] \n  14 [size=\"93314560\", alpha=\"0.02\", expect_size=\"37325824\"] \n  15 [size=\"48824320\", alpha=\"0.19\", expect_size=\"19529728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14231552\", alpha=\"0.11\", expect_size=\"7115776\"] \n  1 -> 11 [size =\"7115776\"]\n  1 -> 12 [size =\"7115776\"]\n  1 -> 13 [size =\"7115776\"]\n  1 -> 14 [size =\"7115776\"]\n  1 -> 15 [size =\"7115776\"]\n  2 [size=\"90484736\", alpha=\"0.13\", expect_size=\"45242368\"] \n  2 -> 12 [size =\"45242368\"]\n  2 -> 13 [size =\"45242368\"]\n  2 -> 15 [size =\"45242368\"]\n  3 [size=\"60278784\", alpha=\"0.02\", expect_size=\"30139392\"] \n  3 -> 11 [size =\"30139392\"]\n  3 -> 12 [size =\"30139392\"]\n  3 -> 15 [size =\"30139392\"]\n  4 [size=\"67850240\", alpha=\"0.04\", expect_size=\"33925120\"] \n  4 -> 11 [size =\"33925120\"]\n  4 -> 12 [size =\"33925120\"]\n  4 -> 13 [size =\"33925120\"]\n  5 [size=\"79816704\", alpha=\"0.13\", expect_size=\"39908352\"] \n  5 -> 11 [size =\"39908352\"]\n  5 -> 12 [size =\"39908352\"]\n  5 -> 13 [size =\"39908352\"]\n  5 -> 14 [size =\"39908352\"]\n  5 -> 15 [size =\"39908352\"]\n  6 [size=\"35627008\", alpha=\"0.08\", expect_size=\"17813504\"] \n  6 -> 12 [size =\"17813504\"]\n  6 -> 15 [size =\"17813504\"]\n  7 [size=\"50669568\", alpha=\"0.06\", expect_size=\"25334784\"] \n  7 -> 11 [size =\"25334784\"]\n  7 -> 12 [size =\"25334784\"]\n  7 -> 13 [size =\"25334784\"]\n  8 [size=\"44302336\", alpha=\"0.02\", expect_size=\"22151168\"] \n  8 -> 11 [size =\"22151168\"]\n  8 -> 13 [size =\"22151168\"]\n  8 -> 14 [size =\"22151168\"]\n  9 [size=\"11622400\", alpha=\"0.10\", expect_size=\"5811200\"] \n  9 -> 11 [size =\"5811200\"]\n  9 -> 12 [size =\"5811200\"]\n  9 -> 13 [size =\"5811200\"]\n  9 -> 15 [size =\"5811200\"]\n  10 [size=\"23097344\", alpha=\"0.19\", expect_size=\"11548672\"] \n  10 -> 11 [size =\"11548672\"]\n  10 -> 12 [size =\"11548672\"]\n  10 -> 13 [size =\"11548672\"]\n  10 -> 14 [size =\"11548672\"]\n  10 -> 15 [size =\"11548672\"]\n  11 [size=\"84494336\", alpha=\"0.08\", expect_size=\"42247168\"] \n  12 [size=\"43212800\", alpha=\"0.04\", expect_size=\"21606400\"] \n  13 [size=\"102709248\", alpha=\"0.18\", expect_size=\"51354624\"] \n  14 [size=\"17827840\", alpha=\"0.16\", expect_size=\"8913920\"] \n  15 [size=\"38604800\", alpha=\"0.12\", expect_size=\"19302400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77408256\", alpha=\"0.16\", expect_size=\"38704128\"] \n  1 -> 2 [size =\"38704128\"]\n  2 [size=\"87003136\", alpha=\"0.11\", expect_size=\"43501568\"] \n  2 -> 3 [size =\"43501568\"]\n  3 [size=\"11059200\", alpha=\"0.02\", expect_size=\"5529600\"] \n  3 -> 4 [size =\"5529600\"]\n  4 [size=\"28708864\", alpha=\"0.08\", expect_size=\"14354432\"] \n  4 -> 5 [size =\"14354432\"]\n  5 [size=\"91858944\", alpha=\"0.15\", expect_size=\"45929472\"] \n  5 -> 6 [size =\"45929472\"]\n  6 [size=\"63879168\", alpha=\"0.14\", expect_size=\"31939584\"] \n  6 -> 7 [size =\"31939584\"]\n  7 [size=\"30068736\", alpha=\"0.13\", expect_size=\"15034368\"] \n  7 -> 8 [size =\"15034368\"]\n  8 [size=\"57018368\", alpha=\"0.07\", expect_size=\"28509184\"] \n  8 -> 9 [size =\"28509184\"]\n  9 [size=\"22501376\", alpha=\"0.10\", expect_size=\"11250688\"] \n  9 -> 10 [size =\"11250688\"]\n  10 [size=\"62760960\", alpha=\"0.16\", expect_size=\"31380480\"] \n  10 -> 11 [size =\"31380480\"]\n  11 [size=\"82771968\", alpha=\"0.16\", expect_size=\"41385984\"] \n  11 -> 12 [size =\"41385984\"]\n  12 [size=\"62779392\", alpha=\"0.11\", expect_size=\"31389696\"] \n  12 -> 13 [size =\"31389696\"]\n  13 [size=\"21504000\", alpha=\"0.05\", expect_size=\"10752000\"] \n  13 -> 14 [size =\"10752000\"]\n  14 [size=\"30121984\", alpha=\"0.16\", expect_size=\"15060992\"] \n  14 -> 15 [size =\"15060992\"]\n  15 [size=\"69826560\", alpha=\"0.20\", expect_size=\"34913280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34138112\", alpha=\"0.06\", expect_size=\"17069056\"] \n  1 -> 11 [size =\"17069056\"]\n  1 -> 14 [size =\"17069056\"]\n  2 [size=\"32346112\", alpha=\"0.16\", expect_size=\"16173056\"] \n  2 -> 9 [size =\"16173056\"]\n  2 -> 10 [size =\"16173056\"]\n  2 -> 12 [size =\"16173056\"]\n  2 -> 13 [size =\"16173056\"]\n  2 -> 14 [size =\"16173056\"]\n  2 -> 15 [size =\"16173056\"]\n  3 [size=\"81326080\", alpha=\"0.03\", expect_size=\"40663040\"] \n  3 -> 9 [size =\"40663040\"]\n  3 -> 12 [size =\"40663040\"]\n  3 -> 14 [size =\"40663040\"]\n  4 [size=\"81932288\", alpha=\"0.09\", expect_size=\"40966144\"] \n  4 -> 10 [size =\"40966144\"]\n  4 -> 12 [size =\"40966144\"]\n  4 -> 13 [size =\"40966144\"]\n  4 -> 14 [size =\"40966144\"]\n  5 [size=\"29679616\", alpha=\"0.18\", expect_size=\"14839808\"] \n  5 -> 15 [size =\"14839808\"]\n  6 [size=\"88496128\", alpha=\"0.11\", expect_size=\"44248064\"] \n  6 -> 10 [size =\"44248064\"]\n  7 [size=\"78381056\", alpha=\"0.12\", expect_size=\"39190528\"] \n  7 -> 13 [size =\"39190528\"]\n  7 -> 15 [size =\"39190528\"]\n  8 [size=\"43352064\", alpha=\"0.11\", expect_size=\"21676032\"] \n  8 -> 15 [size =\"21676032\"]\n  9 [size=\"91459584\", alpha=\"0.08\", expect_size=\"45729792\"] \n  10 [size=\"48009216\", alpha=\"0.05\", expect_size=\"24004608\"] \n  11 [size=\"29593600\", alpha=\"0.10\", expect_size=\"14796800\"] \n  12 [size=\"57989120\", alpha=\"0.15\", expect_size=\"28994560\"] \n  13 [size=\"40349696\", alpha=\"0.15\", expect_size=\"20174848\"] \n  14 [size=\"53678080\", alpha=\"0.05\", expect_size=\"26839040\"] \n  15 [size=\"94287872\", alpha=\"0.08\", expect_size=\"47143936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92808533\", alpha=\"0.17\", expect_size=\"27842560\"] \n  1 -> 4 [size =\"27842560\"]\n  1 -> 5 [size =\"27842560\"]\n  1 -> 6 [size =\"27842560\"]\n  2 [size=\"50203307\", alpha=\"0.12\", expect_size=\"15060992\"] \n  2 -> 4 [size =\"15060992\"]\n  2 -> 6 [size =\"15060992\"]\n  3 [size=\"144704853\", alpha=\"0.14\", expect_size=\"43411456\"] \n  3 -> 4 [size =\"43411456\"]\n  3 -> 6 [size =\"43411456\"]\n  4 [size=\"26777600\", alpha=\"0.07\", expect_size=\"8033280\"] \n  4 -> 7 [size =\"8033280\"]\n  4 -> 8 [size =\"8033280\"]\n  4 -> 9 [size =\"8033280\"]\n  4 -> 10 [size =\"8033280\"]\n  5 [size=\"32826027\", alpha=\"0.07\", expect_size=\"9847808\"] \n  5 -> 7 [size =\"9847808\"]\n  5 -> 9 [size =\"9847808\"]\n  5 -> 10 [size =\"9847808\"]\n  6 [size=\"55186773\", alpha=\"0.02\", expect_size=\"16556032\"] \n  6 -> 7 [size =\"16556032\"]\n  6 -> 8 [size =\"16556032\"]\n  6 -> 9 [size =\"16556032\"]\n  6 -> 10 [size =\"16556032\"]\n  7 [size=\"116814507\", alpha=\"0.06\", expect_size=\"35044352\"] \n  7 -> 11 [size =\"35044352\"]\n  7 -> 12 [size =\"35044352\"]\n  8 [size=\"43943253\", alpha=\"0.11\", expect_size=\"13182976\"] \n  8 -> 11 [size =\"13182976\"]\n  8 -> 12 [size =\"13182976\"]\n  9 [size=\"105314987\", alpha=\"0.03\", expect_size=\"31594496\"] \n  9 -> 11 [size =\"31594496\"]\n  9 -> 12 [size =\"31594496\"]\n  10 [size=\"82923520\", alpha=\"0.07\", expect_size=\"24877056\"] \n  10 -> 11 [size =\"24877056\"]\n  10 -> 12 [size =\"24877056\"]\n  11 [size=\"31832747\", alpha=\"0.15\", expect_size=\"9549824\"] \n  11 -> 13 [size =\"9549824\"]\n  12 [size=\"167686827\", alpha=\"0.18\", expect_size=\"50306048\"] \n  12 -> 13 [size =\"50306048\"]\n  12 -> 14 [size =\"50306048\"]\n  13 [size=\"102120107\", alpha=\"0.19\", expect_size=\"30636032\"] \n  13 -> 15 [size =\"30636032\"]\n  14 [size=\"53220693\", alpha=\"0.13\", expect_size=\"15966208\"] \n  15 [size=\"109506560\", alpha=\"0.11\", expect_size=\"32851968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53985280\", alpha=\"0.01\", expect_size=\"26992640\"] \n  1 -> 15 [size =\"26992640\"]\n  2 [size=\"68476928\", alpha=\"0.20\", expect_size=\"34238464\"] \n  2 -> 15 [size =\"34238464\"]\n  3 [size=\"55025664\", alpha=\"0.14\", expect_size=\"27512832\"] \n  3 -> 15 [size =\"27512832\"]\n  4 [size=\"48588800\", alpha=\"0.03\", expect_size=\"24294400\"] \n  4 -> 15 [size =\"24294400\"]\n  5 [size=\"26396672\", alpha=\"0.02\", expect_size=\"13198336\"] \n  6 [size=\"46544896\", alpha=\"0.14\", expect_size=\"23272448\"] \n  7 [size=\"58312704\", alpha=\"0.19\", expect_size=\"29156352\"] \n  8 [size=\"41631744\", alpha=\"0.19\", expect_size=\"20815872\"] \n  9 [size=\"75948032\", alpha=\"0.15\", expect_size=\"37974016\"] \n  9 -> 15 [size =\"37974016\"]\n  10 [size=\"71702528\", alpha=\"0.11\", expect_size=\"35851264\"] \n  10 -> 15 [size =\"35851264\"]\n  11 [size=\"20379648\", alpha=\"0.01\", expect_size=\"10189824\"] \n  11 -> 15 [size =\"10189824\"]\n  12 [size=\"23760896\", alpha=\"0.15\", expect_size=\"11880448\"] \n  12 -> 15 [size =\"11880448\"]\n  13 [size=\"22992896\", alpha=\"0.03\", expect_size=\"11496448\"] \n  13 -> 15 [size =\"11496448\"]\n  14 [size=\"86941696\", alpha=\"0.05\", expect_size=\"43470848\"] \n  14 -> 15 [size =\"43470848\"]\n  15 [size=\"99760128\", alpha=\"0.04\", expect_size=\"49880064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16562176\", alpha=\"0.08\", expect_size=\"8281088\"] \n  2 [size=\"15583232\", alpha=\"0.12\", expect_size=\"7791616\"] \n  2 -> 11 [size =\"7791616\"]\n  2 -> 12 [size =\"7791616\"]\n  2 -> 13 [size =\"7791616\"]\n  2 -> 14 [size =\"7791616\"]\n  3 [size=\"18085888\", alpha=\"0.04\", expect_size=\"9042944\"] \n  3 -> 11 [size =\"9042944\"]\n  3 -> 14 [size =\"9042944\"]\n  4 [size=\"31698944\", alpha=\"0.15\", expect_size=\"15849472\"] \n  4 -> 13 [size =\"15849472\"]\n  4 -> 15 [size =\"15849472\"]\n  5 [size=\"24512512\", alpha=\"0.09\", expect_size=\"12256256\"] \n  5 -> 10 [size =\"12256256\"]\n  5 -> 13 [size =\"12256256\"]\n  5 -> 15 [size =\"12256256\"]\n  6 [size=\"96079872\", alpha=\"0.00\", expect_size=\"48039936\"] \n  6 -> 10 [size =\"48039936\"]\n  6 -> 11 [size =\"48039936\"]\n  7 [size=\"71577600\", alpha=\"0.07\", expect_size=\"35788800\"] \n  7 -> 10 [size =\"35788800\"]\n  7 -> 11 [size =\"35788800\"]\n  7 -> 14 [size =\"35788800\"]\n  8 [size=\"64040960\", alpha=\"0.18\", expect_size=\"32020480\"] \n  8 -> 15 [size =\"32020480\"]\n  9 [size=\"20645888\", alpha=\"0.09\", expect_size=\"10322944\"] \n  9 -> 14 [size =\"10322944\"]\n  9 -> 15 [size =\"10322944\"]\n  10 [size=\"83146752\", alpha=\"0.09\", expect_size=\"41573376\"] \n  11 [size=\"15312896\", alpha=\"0.12\", expect_size=\"7656448\"] \n  12 [size=\"53307392\", alpha=\"0.00\", expect_size=\"26653696\"] \n  13 [size=\"13703168\", alpha=\"0.11\", expect_size=\"6851584\"] \n  14 [size=\"32069632\", alpha=\"0.09\", expect_size=\"16034816\"] \n  15 [size=\"101623808\", alpha=\"0.17\", expect_size=\"50811904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38076416\", alpha=\"0.10\", expect_size=\"19038208\"] \n  1 -> 7 [size =\"19038208\"]\n  1 -> 10 [size =\"19038208\"]\n  2 [size=\"71282688\", alpha=\"0.04\", expect_size=\"35641344\"] \n  2 -> 10 [size =\"35641344\"]\n  3 [size=\"30779392\", alpha=\"0.11\", expect_size=\"15389696\"] \n  3 -> 5 [size =\"15389696\"]\n  4 [size=\"30814208\", alpha=\"0.13\", expect_size=\"15407104\"] \n  4 -> 6 [size =\"15407104\"]\n  4 -> 7 [size =\"15407104\"]\n  4 -> 8 [size =\"15407104\"]\n  4 -> 9 [size =\"15407104\"]\n  5 [size=\"87420928\", alpha=\"0.09\", expect_size=\"43710464\"] \n  5 -> 11 [size =\"43710464\"]\n  6 [size=\"34537472\", alpha=\"0.06\", expect_size=\"17268736\"] \n  6 -> 12 [size =\"17268736\"]\n  7 [size=\"63578112\", alpha=\"0.16\", expect_size=\"31789056\"] \n  7 -> 14 [size =\"31789056\"]\n  8 [size=\"11036672\", alpha=\"0.11\", expect_size=\"5518336\"] \n  8 -> 13 [size =\"5518336\"]\n  8 -> 14 [size =\"5518336\"]\n  9 [size=\"89458688\", alpha=\"0.18\", expect_size=\"44729344\"] \n  9 -> 13 [size =\"44729344\"]\n  9 -> 15 [size =\"44729344\"]\n  10 [size=\"33945600\", alpha=\"0.10\", expect_size=\"16972800\"] \n  10 -> 13 [size =\"16972800\"]\n  11 [size=\"97300480\", alpha=\"0.06\", expect_size=\"48650240\"] \n  12 [size=\"49864704\", alpha=\"0.09\", expect_size=\"24932352\"] \n  13 [size=\"68100096\", alpha=\"0.13\", expect_size=\"34050048\"] \n  14 [size=\"25663488\", alpha=\"0.10\", expect_size=\"12831744\"] \n  15 [size=\"85452800\", alpha=\"0.07\", expect_size=\"42726400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40440320\", alpha=\"0.19\", expect_size=\"16176128\"] \n  1 -> 2 [size =\"16176128\"]\n  2 [size=\"29432320\", alpha=\"0.19\", expect_size=\"11772928\"] \n  2 -> 3 [size =\"11772928\"]\n  3 [size=\"32934400\", alpha=\"0.11\", expect_size=\"13173760\"] \n  3 -> 4 [size =\"13173760\"]\n  4 [size=\"126604800\", alpha=\"0.19\", expect_size=\"50641920\"] \n  4 -> 5 [size =\"50641920\"]\n  5 [size=\"98657280\", alpha=\"0.11\", expect_size=\"39462912\"] \n  5 -> 6 [size =\"39462912\"]\n  6 [size=\"128540160\", alpha=\"0.19\", expect_size=\"51416064\"] \n  6 -> 7 [size =\"51416064\"]\n  7 [size=\"102282240\", alpha=\"0.12\", expect_size=\"40912896\"] \n  7 -> 8 [size =\"40912896\"]\n  8 [size=\"95234560\", alpha=\"0.08\", expect_size=\"38093824\"] \n  8 -> 9 [size =\"38093824\"]\n  9 [size=\"72353280\", alpha=\"0.02\", expect_size=\"28941312\"] \n  9 -> 10 [size =\"28941312\"]\n  10 [size=\"116779520\", alpha=\"0.11\", expect_size=\"46711808\"] \n  10 -> 11 [size =\"46711808\"]\n  11 [size=\"71964160\", alpha=\"0.15\", expect_size=\"28785664\"] \n  11 -> 12 [size =\"28785664\"]\n  12 [size=\"68433920\", alpha=\"0.09\", expect_size=\"27373568\"] \n  12 -> 13 [size =\"27373568\"]\n  13 [size=\"61813760\", alpha=\"0.02\", expect_size=\"24725504\"] \n  13 -> 14 [size =\"24725504\"]\n  14 [size=\"127915520\", alpha=\"0.08\", expect_size=\"51166208\"] \n  14 -> 15 [size =\"51166208\"]\n  15 [size=\"122787840\", alpha=\"0.04\", expect_size=\"49115136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50581504\", alpha=\"0.15\", expect_size=\"25290752\"] \n  1 -> 2 [size =\"25290752\"]\n  2 [size=\"82634752\", alpha=\"0.19\", expect_size=\"41317376\"] \n  2 -> 3 [size =\"41317376\"]\n  3 [size=\"30117888\", alpha=\"0.05\", expect_size=\"15058944\"] \n  3 -> 4 [size =\"15058944\"]\n  4 [size=\"49532928\", alpha=\"0.08\", expect_size=\"24766464\"] \n  4 -> 5 [size =\"24766464\"]\n  5 [size=\"19959808\", alpha=\"0.04\", expect_size=\"9979904\"] \n  5 -> 6 [size =\"9979904\"]\n  6 [size=\"87140352\", alpha=\"0.15\", expect_size=\"43570176\"] \n  6 -> 7 [size =\"43570176\"]\n  7 [size=\"83136512\", alpha=\"0.18\", expect_size=\"41568256\"] \n  7 -> 8 [size =\"41568256\"]\n  8 [size=\"14503936\", alpha=\"0.14\", expect_size=\"7251968\"] \n  8 -> 9 [size =\"7251968\"]\n  9 [size=\"67117056\", alpha=\"0.14\", expect_size=\"33558528\"] \n  9 -> 10 [size =\"33558528\"]\n  10 [size=\"44681216\", alpha=\"0.13\", expect_size=\"22340608\"] \n  10 -> 11 [size =\"22340608\"]\n  11 [size=\"103880704\", alpha=\"0.12\", expect_size=\"51940352\"] \n  11 -> 12 [size =\"51940352\"]\n  12 [size=\"79882240\", alpha=\"0.04\", expect_size=\"39941120\"] \n  12 -> 13 [size =\"39941120\"]\n  13 [size=\"72994816\", alpha=\"0.11\", expect_size=\"36497408\"] \n  13 -> 14 [size =\"36497408\"]\n  14 [size=\"97294336\", alpha=\"0.07\", expect_size=\"48647168\"] \n  14 -> 15 [size =\"48647168\"]\n  15 [size=\"39294976\", alpha=\"0.04\", expect_size=\"19647488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62846976\", alpha=\"0.14\", expect_size=\"31423488\"] \n  1 -> 3 [size =\"31423488\"]\n  1 -> 4 [size =\"31423488\"]\n  2 [size=\"40857600\", alpha=\"0.12\", expect_size=\"20428800\"] \n  3 [size=\"25122816\", alpha=\"0.20\", expect_size=\"12561408\"] \n  3 -> 6 [size =\"12561408\"]\n  4 [size=\"60448768\", alpha=\"0.02\", expect_size=\"30224384\"] \n  4 -> 5 [size =\"30224384\"]\n  4 -> 6 [size =\"30224384\"]\n  5 [size=\"84248576\", alpha=\"0.16\", expect_size=\"42124288\"] \n  5 -> 7 [size =\"42124288\"]\n  5 -> 8 [size =\"42124288\"]\n  6 [size=\"97951744\", alpha=\"0.08\", expect_size=\"48975872\"] \n  6 -> 7 [size =\"48975872\"]\n  7 [size=\"22005760\", alpha=\"0.03\", expect_size=\"11002880\"] \n  7 -> 9 [size =\"11002880\"]\n  7 -> 10 [size =\"11002880\"]\n  8 [size=\"30937088\", alpha=\"0.19\", expect_size=\"15468544\"] \n  9 [size=\"19884032\", alpha=\"0.09\", expect_size=\"9942016\"] \n  9 -> 11 [size =\"9942016\"]\n  9 -> 12 [size =\"9942016\"]\n  10 [size=\"103118848\", alpha=\"0.16\", expect_size=\"51559424\"] \n  11 [size=\"95287296\", alpha=\"0.01\", expect_size=\"47643648\"] \n  11 -> 13 [size =\"47643648\"]\n  12 [size=\"67008512\", alpha=\"0.02\", expect_size=\"33504256\"] \n  13 [size=\"29562880\", alpha=\"0.13\", expect_size=\"14781440\"] \n  13 -> 14 [size =\"14781440\"]\n  14 [size=\"29421568\", alpha=\"0.03\", expect_size=\"14710784\"] \n  14 -> 15 [size =\"14710784\"]\n  15 [size=\"37779456\", alpha=\"0.15\", expect_size=\"18889728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18530304\", alpha=\"0.14\", expect_size=\"9265152\"] \n  2 [size=\"45809664\", alpha=\"0.06\", expect_size=\"22904832\"] \n  3 [size=\"52017152\", alpha=\"0.04\", expect_size=\"26008576\"] \n  4 [size=\"35973120\", alpha=\"0.12\", expect_size=\"17986560\"] \n  5 [size=\"24745984\", alpha=\"0.01\", expect_size=\"12372992\"] \n  6 [size=\"49504256\", alpha=\"0.08\", expect_size=\"24752128\"] \n  7 [size=\"40693760\", alpha=\"0.18\", expect_size=\"20346880\"] \n  8 [size=\"53635072\", alpha=\"0.07\", expect_size=\"26817536\"] \n  9 [size=\"79890432\", alpha=\"0.10\", expect_size=\"39945216\"] \n  10 [size=\"75347968\", alpha=\"0.09\", expect_size=\"37673984\"] \n  11 [size=\"63021056\", alpha=\"0.08\", expect_size=\"31510528\"] \n  12 [size=\"35665920\", alpha=\"0.15\", expect_size=\"17832960\"] \n  13 [size=\"64612352\", alpha=\"0.15\", expect_size=\"32306176\"] \n  14 [size=\"85231616\", alpha=\"0.15\", expect_size=\"42615808\"] \n  15 [size=\"49141760\", alpha=\"0.07\", expect_size=\"24570880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103987200\", alpha=\"0.01\", expect_size=\"51993600\"] \n  1 -> 2 [size =\"51993600\"]\n  2 [size=\"38713344\", alpha=\"0.07\", expect_size=\"19356672\"] \n  2 -> 3 [size =\"19356672\"]\n  3 [size=\"104376320\", alpha=\"0.16\", expect_size=\"52188160\"] \n  3 -> 4 [size =\"52188160\"]\n  4 [size=\"89851904\", alpha=\"0.04\", expect_size=\"44925952\"] \n  4 -> 5 [size =\"44925952\"]\n  5 [size=\"95338496\", alpha=\"0.18\", expect_size=\"47669248\"] \n  5 -> 6 [size =\"47669248\"]\n  6 [size=\"26994688\", alpha=\"0.17\", expect_size=\"13497344\"] \n  6 -> 7 [size =\"13497344\"]\n  7 [size=\"35694592\", alpha=\"0.01\", expect_size=\"17847296\"] \n  7 -> 8 [size =\"17847296\"]\n  8 [size=\"60583936\", alpha=\"0.12\", expect_size=\"30291968\"] \n  8 -> 9 [size =\"30291968\"]\n  9 [size=\"73527296\", alpha=\"0.08\", expect_size=\"36763648\"] \n  9 -> 10 [size =\"36763648\"]\n  10 [size=\"11784192\", alpha=\"0.03\", expect_size=\"5892096\"] \n  10 -> 11 [size =\"5892096\"]\n  11 [size=\"65294336\", alpha=\"0.09\", expect_size=\"32647168\"] \n  11 -> 12 [size =\"32647168\"]\n  12 [size=\"70240256\", alpha=\"0.02\", expect_size=\"35120128\"] \n  12 -> 13 [size =\"35120128\"]\n  13 [size=\"11180032\", alpha=\"0.09\", expect_size=\"5590016\"] \n  13 -> 14 [size =\"5590016\"]\n  14 [size=\"85028864\", alpha=\"0.13\", expect_size=\"42514432\"] \n  14 -> 15 [size =\"42514432\"]\n  15 [size=\"104839168\", alpha=\"0.01\", expect_size=\"52419584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63508480\", alpha=\"0.13\", expect_size=\"31754240\"] \n  1 -> 3 [size =\"31754240\"]\n  1 -> 4 [size =\"31754240\"]\n  2 [size=\"79243264\", alpha=\"0.01\", expect_size=\"39621632\"] \n  2 -> 3 [size =\"39621632\"]\n  2 -> 4 [size =\"39621632\"]\n  3 [size=\"96524288\", alpha=\"0.02\", expect_size=\"48262144\"] \n  4 [size=\"28198912\", alpha=\"0.10\", expect_size=\"14099456\"] \n  4 -> 5 [size =\"14099456\"]\n  5 [size=\"20500480\", alpha=\"0.11\", expect_size=\"10250240\"] \n  5 -> 6 [size =\"10250240\"]\n  5 -> 7 [size =\"10250240\"]\n  6 [size=\"86331392\", alpha=\"0.03\", expect_size=\"43165696\"] \n  6 -> 8 [size =\"43165696\"]\n  7 [size=\"85467136\", alpha=\"0.01\", expect_size=\"42733568\"] \n  8 [size=\"49412096\", alpha=\"0.16\", expect_size=\"24706048\"] \n  8 -> 9 [size =\"24706048\"]\n  8 -> 10 [size =\"24706048\"]\n  9 [size=\"68173824\", alpha=\"0.18\", expect_size=\"34086912\"] \n  9 -> 12 [size =\"34086912\"]\n  10 [size=\"40527872\", alpha=\"0.01\", expect_size=\"20263936\"] \n  10 -> 11 [size =\"20263936\"]\n  10 -> 12 [size =\"20263936\"]\n  11 [size=\"16955392\", alpha=\"0.07\", expect_size=\"8477696\"] \n  11 -> 13 [size =\"8477696\"]\n  12 [size=\"80384000\", alpha=\"0.04\", expect_size=\"40192000\"] \n  13 [size=\"85424128\", alpha=\"0.17\", expect_size=\"42712064\"] \n  13 -> 14 [size =\"42712064\"]\n  13 -> 15 [size =\"42712064\"]\n  14 [size=\"93431808\", alpha=\"0.17\", expect_size=\"46715904\"] \n  15 [size=\"48480256\", alpha=\"0.12\", expect_size=\"24240128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93409280\", alpha=\"0.10\", expect_size=\"28022784\"] \n  1 -> 4 [size =\"28022784\"]\n  1 -> 5 [size =\"28022784\"]\n  1 -> 9 [size =\"28022784\"]\n  2 [size=\"129986560\", alpha=\"0.05\", expect_size=\"38995968\"] \n  2 -> 7 [size =\"38995968\"]\n  2 -> 8 [size =\"38995968\"]\n  3 [size=\"69847040\", alpha=\"0.11\", expect_size=\"20954112\"] \n  3 -> 4 [size =\"20954112\"]\n  3 -> 5 [size =\"20954112\"]\n  3 -> 6 [size =\"20954112\"]\n  3 -> 7 [size =\"20954112\"]\n  4 [size=\"169905493\", alpha=\"0.07\", expect_size=\"50971648\"] \n  5 [size=\"98017280\", alpha=\"0.12\", expect_size=\"29405184\"] \n  5 -> 11 [size =\"29405184\"]\n  5 -> 12 [size =\"29405184\"]\n  6 [size=\"143650133\", alpha=\"0.14\", expect_size=\"43095040\"] \n  6 -> 10 [size =\"43095040\"]\n  6 -> 12 [size =\"43095040\"]\n  7 [size=\"47005013\", alpha=\"0.15\", expect_size=\"14101504\"] \n  7 -> 11 [size =\"14101504\"]\n  7 -> 12 [size =\"14101504\"]\n  8 [size=\"37625173\", alpha=\"0.14\", expect_size=\"11287552\"] \n  8 -> 12 [size =\"11287552\"]\n  9 [size=\"137526613\", alpha=\"0.03\", expect_size=\"41257984\"] \n  9 -> 13 [size =\"41257984\"]\n  10 [size=\"141359787\", alpha=\"0.09\", expect_size=\"42407936\"] \n  10 -> 15 [size =\"42407936\"]\n  11 [size=\"162856960\", alpha=\"0.02\", expect_size=\"48857088\"] \n  12 [size=\"81083733\", alpha=\"0.10\", expect_size=\"24325120\"] \n  12 -> 14 [size =\"24325120\"]\n  12 -> 15 [size =\"24325120\"]\n  13 [size=\"118121813\", alpha=\"0.10\", expect_size=\"35436544\"] \n  13 -> 14 [size =\"35436544\"]\n  14 [size=\"45216427\", alpha=\"0.00\", expect_size=\"13564928\"] \n  15 [size=\"98283520\", alpha=\"0.13\", expect_size=\"29485056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92637184\", alpha=\"0.04\", expect_size=\"46318592\"] \n  2 [size=\"104765440\", alpha=\"0.10\", expect_size=\"52382720\"] \n  2 -> 5 [size =\"52382720\"]\n  2 -> 7 [size =\"52382720\"]\n  2 -> 11 [size =\"52382720\"]\n  3 [size=\"87726080\", alpha=\"0.12\", expect_size=\"43863040\"] \n  3 -> 5 [size =\"43863040\"]\n  3 -> 6 [size =\"43863040\"]\n  3 -> 8 [size =\"43863040\"]\n  3 -> 9 [size =\"43863040\"]\n  3 -> 11 [size =\"43863040\"]\n  4 [size=\"42020864\", alpha=\"0.09\", expect_size=\"21010432\"] \n  4 -> 6 [size =\"21010432\"]\n  4 -> 8 [size =\"21010432\"]\n  4 -> 10 [size =\"21010432\"]\n  4 -> 11 [size =\"21010432\"]\n  5 [size=\"14391296\", alpha=\"0.19\", expect_size=\"7195648\"] \n  5 -> 12 [size =\"7195648\"]\n  6 [size=\"97214464\", alpha=\"0.13\", expect_size=\"48607232\"] \n  7 [size=\"89352192\", alpha=\"0.17\", expect_size=\"44676096\"] \n  7 -> 13 [size =\"44676096\"]\n  7 -> 15 [size =\"44676096\"]\n  8 [size=\"44505088\", alpha=\"0.10\", expect_size=\"22252544\"] \n  8 -> 12 [size =\"22252544\"]\n  8 -> 14 [size =\"22252544\"]\n  9 [size=\"14546944\", alpha=\"0.17\", expect_size=\"7273472\"] \n  9 -> 13 [size =\"7273472\"]\n  10 [size=\"52373504\", alpha=\"0.16\", expect_size=\"26186752\"] \n  10 -> 12 [size =\"26186752\"]\n  11 [size=\"92020736\", alpha=\"0.07\", expect_size=\"46010368\"] \n  11 -> 12 [size =\"46010368\"]\n  11 -> 13 [size =\"46010368\"]\n  12 [size=\"15710208\", alpha=\"0.02\", expect_size=\"7855104\"] \n  13 [size=\"62509056\", alpha=\"0.20\", expect_size=\"31254528\"] \n  14 [size=\"27084800\", alpha=\"0.06\", expect_size=\"13542400\"] \n  15 [size=\"71651328\", alpha=\"0.02\", expect_size=\"35825664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98270720\", alpha=\"0.12\", expect_size=\"39308288\"] \n  1 -> 3 [size =\"39308288\"]\n  2 [size=\"129740800\", alpha=\"0.19\", expect_size=\"51896320\"] \n  2 -> 4 [size =\"51896320\"]\n  3 [size=\"88337920\", alpha=\"0.09\", expect_size=\"35335168\"] \n  3 -> 6 [size =\"35335168\"]\n  4 [size=\"67563520\", alpha=\"0.10\", expect_size=\"27025408\"] \n  4 -> 5 [size =\"27025408\"]\n  4 -> 7 [size =\"27025408\"]\n  5 [size=\"49264640\", alpha=\"0.16\", expect_size=\"19705856\"] \n  6 [size=\"65635840\", alpha=\"0.12\", expect_size=\"26254336\"] \n  6 -> 9 [size =\"26254336\"]\n  7 [size=\"109941760\", alpha=\"0.09\", expect_size=\"43976704\"] \n  7 -> 8 [size =\"43976704\"]\n  8 [size=\"64455680\", alpha=\"0.20\", expect_size=\"25782272\"] \n  9 [size=\"34009600\", alpha=\"0.05\", expect_size=\"13603840\"] \n  9 -> 10 [size =\"13603840\"]\n  9 -> 11 [size =\"13603840\"]\n  9 -> 12 [size =\"13603840\"]\n  10 [size=\"95989760\", alpha=\"0.03\", expect_size=\"38395904\"] \n  10 -> 13 [size =\"38395904\"]\n  10 -> 14 [size =\"38395904\"]\n  10 -> 15 [size =\"38395904\"]\n  11 [size=\"52707840\", alpha=\"0.00\", expect_size=\"21083136\"] \n  12 [size=\"124316160\", alpha=\"0.09\", expect_size=\"49726464\"] \n  12 -> 14 [size =\"49726464\"]\n  13 [size=\"118269440\", alpha=\"0.07\", expect_size=\"47307776\"] \n  14 [size=\"54092800\", alpha=\"0.10\", expect_size=\"21637120\"] \n  15 [size=\"111385600\", alpha=\"0.15\", expect_size=\"44554240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88217600\", alpha=\"0.05\", expect_size=\"26465280\"] \n  1 -> 2 [size =\"26465280\"]\n  2 [size=\"117275307\", alpha=\"0.16\", expect_size=\"35182592\"] \n  2 -> 3 [size =\"35182592\"]\n  2 -> 4 [size =\"35182592\"]\n  3 [size=\"74683733\", alpha=\"0.02\", expect_size=\"22405120\"] \n  4 [size=\"79602347\", alpha=\"0.13\", expect_size=\"23880704\"] \n  4 -> 5 [size =\"23880704\"]\n  5 [size=\"145018880\", alpha=\"0.15\", expect_size=\"43505664\"] \n  5 -> 6 [size =\"43505664\"]\n  5 -> 7 [size =\"43505664\"]\n  6 [size=\"71396693\", alpha=\"0.14\", expect_size=\"21419008\"] \n  6 -> 8 [size =\"21419008\"]\n  6 -> 9 [size =\"21419008\"]\n  7 [size=\"87674880\", alpha=\"0.03\", expect_size=\"26302464\"] \n  7 -> 8 [size =\"26302464\"]\n  7 -> 9 [size =\"26302464\"]\n  8 [size=\"115773440\", alpha=\"0.18\", expect_size=\"34732032\"] \n  8 -> 10 [size =\"34732032\"]\n  9 [size=\"161774933\", alpha=\"0.08\", expect_size=\"48532480\"] \n  9 -> 10 [size =\"48532480\"]\n  9 -> 11 [size =\"48532480\"]\n  10 [size=\"109342720\", alpha=\"0.05\", expect_size=\"32802816\"] \n  10 -> 12 [size =\"32802816\"]\n  11 [size=\"160965973\", alpha=\"0.07\", expect_size=\"48289792\"] \n  11 -> 12 [size =\"48289792\"]\n  12 [size=\"42059093\", alpha=\"0.15\", expect_size=\"12617728\"] \n  12 -> 13 [size =\"12617728\"]\n  12 -> 14 [size =\"12617728\"]\n  13 [size=\"168123733\", alpha=\"0.06\", expect_size=\"50437120\"] \n  13 -> 15 [size =\"50437120\"]\n  14 [size=\"23610027\", alpha=\"0.18\", expect_size=\"7083008\"] \n  15 [size=\"128136533\", alpha=\"0.10\", expect_size=\"38440960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86074027\", alpha=\"0.09\", expect_size=\"25822208\"] \n  1 -> 7 [size =\"25822208\"]\n  1 -> 9 [size =\"25822208\"]\n  1 -> 10 [size =\"25822208\"]\n  2 [size=\"79250773\", alpha=\"0.19\", expect_size=\"23775232\"] \n  2 -> 6 [size =\"23775232\"]\n  2 -> 7 [size =\"23775232\"]\n  2 -> 11 [size =\"23775232\"]\n  3 [size=\"96494933\", alpha=\"0.09\", expect_size=\"28948480\"] \n  3 -> 10 [size =\"28948480\"]\n  4 [size=\"104359253\", alpha=\"0.08\", expect_size=\"31307776\"] \n  4 -> 7 [size =\"31307776\"]\n  5 [size=\"53278720\", alpha=\"0.02\", expect_size=\"15983616\"] \n  5 -> 8 [size =\"15983616\"]\n  5 -> 10 [size =\"15983616\"]\n  5 -> 11 [size =\"15983616\"]\n  6 [size=\"92334080\", alpha=\"0.15\", expect_size=\"27700224\"] \n  6 -> 12 [size =\"27700224\"]\n  6 -> 14 [size =\"27700224\"]\n  7 [size=\"140636160\", alpha=\"0.07\", expect_size=\"42190848\"] \n  7 -> 14 [size =\"42190848\"]\n  8 [size=\"51046400\", alpha=\"0.14\", expect_size=\"15313920\"] \n  9 [size=\"37348693\", alpha=\"0.08\", expect_size=\"11204608\"] \n  9 -> 12 [size =\"11204608\"]\n  9 -> 13 [size =\"11204608\"]\n  9 -> 15 [size =\"11204608\"]\n  10 [size=\"158245547\", alpha=\"0.03\", expect_size=\"47473664\"] \n  10 -> 15 [size =\"47473664\"]\n  11 [size=\"55289173\", alpha=\"0.03\", expect_size=\"16586752\"] \n  11 -> 12 [size =\"16586752\"]\n  12 [size=\"128109227\", alpha=\"0.16\", expect_size=\"38432768\"] \n  13 [size=\"119603200\", alpha=\"0.15\", expect_size=\"35880960\"] \n  14 [size=\"29518507\", alpha=\"0.10\", expect_size=\"8855552\"] \n  15 [size=\"94661973\", alpha=\"0.05\", expect_size=\"28398592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91883520\", alpha=\"0.02\", expect_size=\"45941760\"] \n  2 [size=\"79570944\", alpha=\"0.03\", expect_size=\"39785472\"] \n  2 -> 4 [size =\"39785472\"]\n  2 -> 5 [size =\"39785472\"]\n  2 -> 6 [size =\"39785472\"]\n  3 [size=\"57231360\", alpha=\"0.07\", expect_size=\"28615680\"] \n  3 -> 5 [size =\"28615680\"]\n  4 [size=\"43583488\", alpha=\"0.13\", expect_size=\"21791744\"] \n  4 -> 12 [size =\"21791744\"]\n  4 -> 14 [size =\"21791744\"]\n  5 [size=\"20008960\", alpha=\"0.17\", expect_size=\"10004480\"] \n  5 -> 7 [size =\"10004480\"]\n  5 -> 8 [size =\"10004480\"]\n  5 -> 9 [size =\"10004480\"]\n  5 -> 11 [size =\"10004480\"]\n  5 -> 12 [size =\"10004480\"]\n  5 -> 13 [size =\"10004480\"]\n  6 [size=\"15679488\", alpha=\"0.08\", expect_size=\"7839744\"] \n  6 -> 7 [size =\"7839744\"]\n  6 -> 8 [size =\"7839744\"]\n  6 -> 10 [size =\"7839744\"]\n  6 -> 11 [size =\"7839744\"]\n  6 -> 13 [size =\"7839744\"]\n  7 [size=\"70606848\", alpha=\"0.13\", expect_size=\"35303424\"] \n  8 [size=\"83861504\", alpha=\"0.10\", expect_size=\"41930752\"] \n  9 [size=\"89454592\", alpha=\"0.13\", expect_size=\"44727296\"] \n  10 [size=\"100345856\", alpha=\"0.12\", expect_size=\"50172928\"] \n  11 [size=\"13205504\", alpha=\"0.10\", expect_size=\"6602752\"] \n  11 -> 15 [size =\"6602752\"]\n  12 [size=\"24064000\", alpha=\"0.11\", expect_size=\"12032000\"] \n  13 [size=\"40288256\", alpha=\"0.16\", expect_size=\"20144128\"] \n  14 [size=\"73803776\", alpha=\"0.14\", expect_size=\"36901888\"] \n  14 -> 15 [size =\"36901888\"]\n  15 [size=\"40484864\", alpha=\"0.16\", expect_size=\"20242432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91697152\", alpha=\"0.06\", expect_size=\"45848576\"] \n  1 -> 2 [size =\"45848576\"]\n  2 [size=\"26523648\", alpha=\"0.12\", expect_size=\"13261824\"] \n  2 -> 3 [size =\"13261824\"]\n  3 [size=\"89606144\", alpha=\"0.10\", expect_size=\"44803072\"] \n  3 -> 4 [size =\"44803072\"]\n  4 [size=\"48060416\", alpha=\"0.16\", expect_size=\"24030208\"] \n  4 -> 5 [size =\"24030208\"]\n  5 [size=\"59590656\", alpha=\"0.08\", expect_size=\"29795328\"] \n  5 -> 6 [size =\"29795328\"]\n  6 [size=\"64985088\", alpha=\"0.04\", expect_size=\"32492544\"] \n  6 -> 7 [size =\"32492544\"]\n  7 [size=\"24186880\", alpha=\"0.15\", expect_size=\"12093440\"] \n  7 -> 8 [size =\"12093440\"]\n  8 [size=\"44947456\", alpha=\"0.13\", expect_size=\"22473728\"] \n  8 -> 9 [size =\"22473728\"]\n  9 [size=\"14280704\", alpha=\"0.14\", expect_size=\"7140352\"] \n  9 -> 10 [size =\"7140352\"]\n  10 [size=\"23128064\", alpha=\"0.05\", expect_size=\"11564032\"] \n  10 -> 11 [size =\"11564032\"]\n  11 [size=\"81606656\", alpha=\"0.12\", expect_size=\"40803328\"] \n  11 -> 12 [size =\"40803328\"]\n  12 [size=\"14153728\", alpha=\"0.00\", expect_size=\"7076864\"] \n  12 -> 13 [size =\"7076864\"]\n  13 [size=\"69363712\", alpha=\"0.06\", expect_size=\"34681856\"] \n  13 -> 14 [size =\"34681856\"]\n  14 [size=\"23678976\", alpha=\"0.12\", expect_size=\"11839488\"] \n  14 -> 15 [size =\"11839488\"]\n  15 [size=\"101511168\", alpha=\"0.03\", expect_size=\"50755584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108021760\", alpha=\"0.09\", expect_size=\"32406528\"] \n  1 -> 2 [size =\"32406528\"]\n  2 [size=\"77469013\", alpha=\"0.09\", expect_size=\"23240704\"] \n  2 -> 3 [size =\"23240704\"]\n  2 -> 4 [size =\"23240704\"]\n  3 [size=\"39413760\", alpha=\"0.18\", expect_size=\"11824128\"] \n  3 -> 5 [size =\"11824128\"]\n  3 -> 6 [size =\"11824128\"]\n  4 [size=\"25186987\", alpha=\"0.01\", expect_size=\"7556096\"] \n  4 -> 5 [size =\"7556096\"]\n  4 -> 6 [size =\"7556096\"]\n  5 [size=\"148131840\", alpha=\"0.05\", expect_size=\"44439552\"] \n  5 -> 7 [size =\"44439552\"]\n  6 [size=\"103833600\", alpha=\"0.01\", expect_size=\"31150080\"] \n  6 -> 7 [size =\"31150080\"]\n  7 [size=\"40932693\", alpha=\"0.07\", expect_size=\"12279808\"] \n  7 -> 8 [size =\"12279808\"]\n  7 -> 9 [size =\"12279808\"]\n  8 [size=\"106468693\", alpha=\"0.02\", expect_size=\"31940608\"] \n  8 -> 10 [size =\"31940608\"]\n  9 [size=\"142697813\", alpha=\"0.08\", expect_size=\"42809344\"] \n  9 -> 10 [size =\"42809344\"]\n  10 [size=\"114698240\", alpha=\"0.15\", expect_size=\"34409472\"] \n  10 -> 11 [size =\"34409472\"]\n  10 -> 12 [size =\"34409472\"]\n  11 [size=\"38307840\", alpha=\"0.18\", expect_size=\"11492352\"] \n  11 -> 13 [size =\"11492352\"]\n  12 [size=\"109806933\", alpha=\"0.20\", expect_size=\"32942080\"] \n  12 -> 13 [size =\"32942080\"]\n  13 [size=\"25634133\", alpha=\"0.15\", expect_size=\"7690240\"] \n  13 -> 14 [size =\"7690240\"]\n  14 [size=\"164051627\", alpha=\"0.15\", expect_size=\"49215488\"] \n  14 -> 15 [size =\"49215488\"]\n  15 [size=\"171096747\", alpha=\"0.08\", expect_size=\"51329024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104875520\", alpha=\"0.01\", expect_size=\"41950208\"] \n  1 -> 2 [size =\"41950208\"]\n  1 -> 3 [size =\"41950208\"]\n  2 [size=\"59985920\", alpha=\"0.01\", expect_size=\"23994368\"] \n  2 -> 4 [size =\"23994368\"]\n  3 [size=\"55831040\", alpha=\"0.16\", expect_size=\"22332416\"] \n  4 [size=\"32578560\", alpha=\"0.04\", expect_size=\"13031424\"] \n  4 -> 5 [size =\"13031424\"]\n  4 -> 6 [size =\"13031424\"]\n  5 [size=\"94525440\", alpha=\"0.19\", expect_size=\"37810176\"] \n  5 -> 8 [size =\"37810176\"]\n  5 -> 9 [size =\"37810176\"]\n  6 [size=\"21199360\", alpha=\"0.04\", expect_size=\"8479744\"] \n  6 -> 7 [size =\"8479744\"]\n  7 [size=\"67758080\", alpha=\"0.14\", expect_size=\"27103232\"] \n  7 -> 10 [size =\"27103232\"]\n  8 [size=\"103974400\", alpha=\"0.15\", expect_size=\"41589760\"] \n  9 [size=\"14471680\", alpha=\"0.02\", expect_size=\"5788672\"] \n  9 -> 11 [size =\"5788672\"]\n  10 [size=\"84835840\", alpha=\"0.13\", expect_size=\"33934336\"] \n  10 -> 12 [size =\"33934336\"]\n  11 [size=\"74176000\", alpha=\"0.14\", expect_size=\"29670400\"] \n  11 -> 13 [size =\"29670400\"]\n  11 -> 14 [size =\"29670400\"]\n  12 [size=\"77747200\", alpha=\"0.03\", expect_size=\"31098880\"] \n  13 [size=\"84175360\", alpha=\"0.12\", expect_size=\"33670144\"] \n  13 -> 15 [size =\"33670144\"]\n  14 [size=\"63365120\", alpha=\"0.15\", expect_size=\"25346048\"] \n  15 [size=\"86753280\", alpha=\"0.17\", expect_size=\"34701312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103610880\", alpha=\"0.19\", expect_size=\"41444352\"] \n  1 -> 11 [size =\"41444352\"]\n  2 [size=\"40256000\", alpha=\"0.00\", expect_size=\"16102400\"] \n  3 [size=\"118141440\", alpha=\"0.01\", expect_size=\"47256576\"] \n  3 -> 13 [size =\"47256576\"]\n  3 -> 14 [size =\"47256576\"]\n  4 [size=\"39403520\", alpha=\"0.03\", expect_size=\"15761408\"] \n  4 -> 11 [size =\"15761408\"]\n  4 -> 12 [size =\"15761408\"]\n  4 -> 13 [size =\"15761408\"]\n  4 -> 14 [size =\"15761408\"]\n  4 -> 15 [size =\"15761408\"]\n  5 [size=\"54087680\", alpha=\"0.14\", expect_size=\"21635072\"] \n  5 -> 11 [size =\"21635072\"]\n  5 -> 12 [size =\"21635072\"]\n  5 -> 15 [size =\"21635072\"]\n  6 [size=\"95206400\", alpha=\"0.11\", expect_size=\"38082560\"] \n  6 -> 13 [size =\"38082560\"]\n  7 [size=\"111928320\", alpha=\"0.07\", expect_size=\"44771328\"] \n  7 -> 11 [size =\"44771328\"]\n  7 -> 14 [size =\"44771328\"]\n  8 [size=\"109150720\", alpha=\"0.03\", expect_size=\"43660288\"] \n  8 -> 12 [size =\"43660288\"]\n  9 [size=\"117716480\", alpha=\"0.08\", expect_size=\"47086592\"] \n  9 -> 11 [size =\"47086592\"]\n  10 [size=\"119598080\", alpha=\"0.13\", expect_size=\"47839232\"] \n  11 [size=\"68684800\", alpha=\"0.13\", expect_size=\"27473920\"] \n  12 [size=\"64647680\", alpha=\"0.09\", expect_size=\"25859072\"] \n  13 [size=\"64791040\", alpha=\"0.02\", expect_size=\"25916416\"] \n  14 [size=\"70822400\", alpha=\"0.18\", expect_size=\"28328960\"] \n  15 [size=\"89748480\", alpha=\"0.16\", expect_size=\"35899392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38860800\", alpha=\"0.13\", expect_size=\"11658240\"] \n  1 -> 8 [size =\"11658240\"]\n  1 -> 10 [size =\"11658240\"]\n  1 -> 11 [size =\"11658240\"]\n  1 -> 13 [size =\"11658240\"]\n  2 [size=\"96354987\", alpha=\"0.20\", expect_size=\"28906496\"] \n  2 -> 9 [size =\"28906496\"]\n  2 -> 10 [size =\"28906496\"]\n  3 [size=\"150753280\", alpha=\"0.01\", expect_size=\"45225984\"] \n  3 -> 9 [size =\"45225984\"]\n  3 -> 11 [size =\"45225984\"]\n  4 [size=\"106086400\", alpha=\"0.16\", expect_size=\"31825920\"] \n  4 -> 9 [size =\"31825920\"]\n  4 -> 12 [size =\"31825920\"]\n  4 -> 14 [size =\"31825920\"]\n  5 [size=\"68034560\", alpha=\"0.04\", expect_size=\"20410368\"] \n  5 -> 9 [size =\"20410368\"]\n  5 -> 14 [size =\"20410368\"]\n  6 [size=\"81240747\", alpha=\"0.09\", expect_size=\"24372224\"] \n  6 -> 8 [size =\"24372224\"]\n  6 -> 10 [size =\"24372224\"]\n  6 -> 11 [size =\"24372224\"]\n  6 -> 14 [size =\"24372224\"]\n  7 [size=\"68154027\", alpha=\"0.11\", expect_size=\"20446208\"] \n  7 -> 10 [size =\"20446208\"]\n  7 -> 12 [size =\"20446208\"]\n  7 -> 13 [size =\"20446208\"]\n  7 -> 14 [size =\"20446208\"]\n  8 [size=\"18346667\", alpha=\"0.16\", expect_size=\"5504000\"] \n  8 -> 15 [size =\"5504000\"]\n  9 [size=\"108137813\", alpha=\"0.00\", expect_size=\"32441344\"] \n  9 -> 15 [size =\"32441344\"]\n  10 [size=\"25139200\", alpha=\"0.18\", expect_size=\"7541760\"] \n  10 -> 15 [size =\"7541760\"]\n  11 [size=\"161904640\", alpha=\"0.15\", expect_size=\"48571392\"] \n  11 -> 15 [size =\"48571392\"]\n  12 [size=\"109728427\", alpha=\"0.17\", expect_size=\"32918528\"] \n  12 -> 15 [size =\"32918528\"]\n  13 [size=\"109288107\", alpha=\"0.08\", expect_size=\"32786432\"] \n  14 [size=\"115855360\", alpha=\"0.03\", expect_size=\"34756608\"] \n  15 [size=\"88289280\", alpha=\"0.04\", expect_size=\"26486784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109578240\", alpha=\"0.07\", expect_size=\"32873472\"] \n  1 -> 3 [size =\"32873472\"]\n  2 [size=\"153227947\", alpha=\"0.15\", expect_size=\"45968384\"] \n  2 -> 3 [size =\"45968384\"]\n  2 -> 4 [size =\"45968384\"]\n  3 [size=\"82046293\", alpha=\"0.16\", expect_size=\"24613888\"] \n  3 -> 5 [size =\"24613888\"]\n  4 [size=\"43543893\", alpha=\"0.19\", expect_size=\"13063168\"] \n  4 -> 5 [size =\"13063168\"]\n  4 -> 6 [size =\"13063168\"]\n  5 [size=\"120661333\", alpha=\"0.19\", expect_size=\"36198400\"] \n  5 -> 7 [size =\"36198400\"]\n  6 [size=\"105495893\", alpha=\"0.09\", expect_size=\"31648768\"] \n  6 -> 7 [size =\"31648768\"]\n  7 [size=\"135273813\", alpha=\"0.06\", expect_size=\"40582144\"] \n  7 -> 8 [size =\"40582144\"]\n  7 -> 9 [size =\"40582144\"]\n  8 [size=\"87517867\", alpha=\"0.05\", expect_size=\"26255360\"] \n  8 -> 10 [size =\"26255360\"]\n  9 [size=\"130672640\", alpha=\"0.07\", expect_size=\"39201792\"] \n  10 [size=\"86848853\", alpha=\"0.09\", expect_size=\"26054656\"] \n  10 -> 11 [size =\"26054656\"]\n  10 -> 12 [size =\"26054656\"]\n  11 [size=\"167717547\", alpha=\"0.07\", expect_size=\"50315264\"] \n  12 [size=\"67536213\", alpha=\"0.03\", expect_size=\"20260864\"] \n  12 -> 13 [size =\"20260864\"]\n  13 [size=\"26228053\", alpha=\"0.08\", expect_size=\"7868416\"] \n  13 -> 14 [size =\"7868416\"]\n  14 [size=\"150203733\", alpha=\"0.10\", expect_size=\"45061120\"] \n  14 -> 15 [size =\"45061120\"]\n  15 [size=\"138683733\", alpha=\"0.06\", expect_size=\"41605120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84712960\", alpha=\"0.03\", expect_size=\"33885184\"] \n  1 -> 2 [size =\"33885184\"]\n  2 [size=\"68551680\", alpha=\"0.13\", expect_size=\"27420672\"] \n  2 -> 3 [size =\"27420672\"]\n  2 -> 4 [size =\"27420672\"]\n  3 [size=\"104913920\", alpha=\"0.14\", expect_size=\"41965568\"] \n  4 [size=\"71546880\", alpha=\"0.11\", expect_size=\"28618752\"] \n  4 -> 5 [size =\"28618752\"]\n  5 [size=\"80281600\", alpha=\"0.09\", expect_size=\"32112640\"] \n  5 -> 6 [size =\"32112640\"]\n  6 [size=\"16437760\", alpha=\"0.07\", expect_size=\"6575104\"] \n  6 -> 7 [size =\"6575104\"]\n  6 -> 8 [size =\"6575104\"]\n  7 [size=\"65802240\", alpha=\"0.00\", expect_size=\"26320896\"] \n  7 -> 10 [size =\"26320896\"]\n  8 [size=\"114910720\", alpha=\"0.12\", expect_size=\"45964288\"] \n  8 -> 9 [size =\"45964288\"]\n  9 [size=\"46302720\", alpha=\"0.03\", expect_size=\"18521088\"] \n  9 -> 11 [size =\"18521088\"]\n  10 [size=\"40161280\", alpha=\"0.08\", expect_size=\"16064512\"] \n  10 -> 12 [size =\"16064512\"]\n  11 [size=\"121418240\", alpha=\"0.01\", expect_size=\"48567296\"] \n  11 -> 13 [size =\"48567296\"]\n  12 [size=\"23728640\", alpha=\"0.17\", expect_size=\"9491456\"] \n  13 [size=\"102041600\", alpha=\"0.13\", expect_size=\"40816640\"] \n  13 -> 14 [size =\"40816640\"]\n  13 -> 15 [size =\"40816640\"]\n  14 [size=\"64647680\", alpha=\"0.18\", expect_size=\"25859072\"] \n  15 [size=\"128921600\", alpha=\"0.19\", expect_size=\"51568640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101566464\", alpha=\"0.05\", expect_size=\"50783232\"] \n  1 -> 3 [size =\"50783232\"]\n  2 [size=\"64452608\", alpha=\"0.16\", expect_size=\"32226304\"] \n  3 [size=\"62957568\", alpha=\"0.08\", expect_size=\"31478784\"] \n  3 -> 4 [size =\"31478784\"]\n  4 [size=\"70623232\", alpha=\"0.15\", expect_size=\"35311616\"] \n  4 -> 5 [size =\"35311616\"]\n  5 [size=\"92661760\", alpha=\"0.01\", expect_size=\"46330880\"] \n  5 -> 6 [size =\"46330880\"]\n  6 [size=\"79812608\", alpha=\"0.18\", expect_size=\"39906304\"] \n  6 -> 7 [size =\"39906304\"]\n  6 -> 8 [size =\"39906304\"]\n  7 [size=\"31916032\", alpha=\"0.05\", expect_size=\"15958016\"] \n  7 -> 9 [size =\"15958016\"]\n  8 [size=\"49065984\", alpha=\"0.14\", expect_size=\"24532992\"] \n  9 [size=\"48019456\", alpha=\"0.11\", expect_size=\"24009728\"] \n  9 -> 10 [size =\"24009728\"]\n  9 -> 11 [size =\"24009728\"]\n  10 [size=\"78704640\", alpha=\"0.13\", expect_size=\"39352320\"] \n  10 -> 12 [size =\"39352320\"]\n  11 [size=\"32212992\", alpha=\"0.15\", expect_size=\"16106496\"] \n  12 [size=\"57479168\", alpha=\"0.07\", expect_size=\"28739584\"] \n  12 -> 13 [size =\"28739584\"]\n  13 [size=\"38178816\", alpha=\"0.13\", expect_size=\"19089408\"] \n  13 -> 14 [size =\"19089408\"]\n  14 [size=\"75886592\", alpha=\"0.02\", expect_size=\"37943296\"] \n  14 -> 15 [size =\"37943296\"]\n  15 [size=\"53538816\", alpha=\"0.02\", expect_size=\"26769408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88139093\", alpha=\"0.00\", expect_size=\"26441728\"] \n  1 -> 4 [size =\"26441728\"]\n  2 [size=\"118654293\", alpha=\"0.15\", expect_size=\"35596288\"] \n  2 -> 4 [size =\"35596288\"]\n  3 [size=\"45038933\", alpha=\"0.20\", expect_size=\"13511680\"] \n  3 -> 4 [size =\"13511680\"]\n  3 -> 5 [size =\"13511680\"]\n  4 [size=\"96515413\", alpha=\"0.09\", expect_size=\"28954624\"] \n  4 -> 7 [size =\"28954624\"]\n  5 [size=\"39529813\", alpha=\"0.05\", expect_size=\"11858944\"] \n  5 -> 6 [size =\"11858944\"]\n  6 [size=\"76871680\", alpha=\"0.17\", expect_size=\"23061504\"] \n  6 -> 8 [size =\"23061504\"]\n  6 -> 9 [size =\"23061504\"]\n  6 -> 10 [size =\"23061504\"]\n  7 [size=\"86944427\", alpha=\"0.13\", expect_size=\"26083328\"] \n  7 -> 8 [size =\"26083328\"]\n  7 -> 9 [size =\"26083328\"]\n  7 -> 10 [size =\"26083328\"]\n  8 [size=\"145196373\", alpha=\"0.19\", expect_size=\"43558912\"] \n  8 -> 11 [size =\"43558912\"]\n  8 -> 12 [size =\"43558912\"]\n  9 [size=\"121354240\", alpha=\"0.05\", expect_size=\"36406272\"] \n  9 -> 12 [size =\"36406272\"]\n  10 [size=\"73697280\", alpha=\"0.14\", expect_size=\"22109184\"] \n  10 -> 11 [size =\"22109184\"]\n  10 -> 12 [size =\"22109184\"]\n  11 [size=\"56343893\", alpha=\"0.03\", expect_size=\"16903168\"] \n  11 -> 13 [size =\"16903168\"]\n  11 -> 14 [size =\"16903168\"]\n  12 [size=\"60200960\", alpha=\"0.09\", expect_size=\"18060288\"] \n  12 -> 13 [size =\"18060288\"]\n  12 -> 14 [size =\"18060288\"]\n  13 [size=\"24552107\", alpha=\"0.15\", expect_size=\"7365632\"] \n  14 [size=\"24190293\", alpha=\"0.11\", expect_size=\"7257088\"] \n  14 -> 15 [size =\"7257088\"]\n  15 [size=\"94996480\", alpha=\"0.12\", expect_size=\"28498944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23541760\", alpha=\"0.04\", expect_size=\"7062528\"] \n  1 -> 2 [size =\"7062528\"]\n  1 -> 3 [size =\"7062528\"]\n  1 -> 4 [size =\"7062528\"]\n  2 [size=\"121460053\", alpha=\"0.01\", expect_size=\"36438016\"] \n  2 -> 6 [size =\"36438016\"]\n  3 [size=\"139721387\", alpha=\"0.18\", expect_size=\"41916416\"] \n  3 -> 5 [size =\"41916416\"]\n  3 -> 6 [size =\"41916416\"]\n  4 [size=\"153309867\", alpha=\"0.07\", expect_size=\"45992960\"] \n  4 -> 5 [size =\"45992960\"]\n  5 [size=\"168639147\", alpha=\"0.07\", expect_size=\"50591744\"] \n  5 -> 8 [size =\"50591744\"]\n  5 -> 9 [size =\"50591744\"]\n  5 -> 10 [size =\"50591744\"]\n  6 [size=\"140096853\", alpha=\"0.16\", expect_size=\"42029056\"] \n  6 -> 7 [size =\"42029056\"]\n  6 -> 8 [size =\"42029056\"]\n  6 -> 9 [size =\"42029056\"]\n  6 -> 10 [size =\"42029056\"]\n  7 [size=\"79701333\", alpha=\"0.11\", expect_size=\"23910400\"] \n  7 -> 11 [size =\"23910400\"]\n  8 [size=\"94737067\", alpha=\"0.04\", expect_size=\"28421120\"] \n  8 -> 11 [size =\"28421120\"]\n  8 -> 12 [size =\"28421120\"]\n  9 [size=\"104758613\", alpha=\"0.12\", expect_size=\"31427584\"] \n  9 -> 12 [size =\"31427584\"]\n  10 [size=\"78895787\", alpha=\"0.19\", expect_size=\"23668736\"] \n  11 [size=\"96163840\", alpha=\"0.11\", expect_size=\"28849152\"] \n  11 -> 13 [size =\"28849152\"]\n  12 [size=\"126324053\", alpha=\"0.14\", expect_size=\"37897216\"] \n  12 -> 13 [size =\"37897216\"]\n  12 -> 14 [size =\"37897216\"]\n  13 [size=\"137905493\", alpha=\"0.19\", expect_size=\"41371648\"] \n  14 [size=\"124450133\", alpha=\"0.06\", expect_size=\"37335040\"] \n  14 -> 15 [size =\"37335040\"]\n  15 [size=\"19701760\", alpha=\"0.20\", expect_size=\"5910528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77595307\", alpha=\"0.15\", expect_size=\"23278592\"] \n  1 -> 2 [size =\"23278592\"]\n  1 -> 3 [size =\"23278592\"]\n  2 [size=\"149783893\", alpha=\"0.08\", expect_size=\"44935168\"] \n  3 [size=\"132270080\", alpha=\"0.07\", expect_size=\"39681024\"] \n  3 -> 4 [size =\"39681024\"]\n  4 [size=\"171724800\", alpha=\"0.10\", expect_size=\"51517440\"] \n  4 -> 5 [size =\"51517440\"]\n  5 [size=\"60040533\", alpha=\"0.06\", expect_size=\"18012160\"] \n  5 -> 6 [size =\"18012160\"]\n  6 [size=\"85869227\", alpha=\"0.16\", expect_size=\"25760768\"] \n  6 -> 7 [size =\"25760768\"]\n  7 [size=\"167877973\", alpha=\"0.13\", expect_size=\"50363392\"] \n  7 -> 8 [size =\"50363392\"]\n  8 [size=\"168553813\", alpha=\"0.14\", expect_size=\"50566144\"] \n  8 -> 9 [size =\"50566144\"]\n  8 -> 10 [size =\"50566144\"]\n  9 [size=\"61870080\", alpha=\"0.06\", expect_size=\"18561024\"] \n  9 -> 11 [size =\"18561024\"]\n  10 [size=\"88193707\", alpha=\"0.20\", expect_size=\"26458112\"] \n  10 -> 11 [size =\"26458112\"]\n  11 [size=\"86565547\", alpha=\"0.18\", expect_size=\"25969664\"] \n  11 -> 12 [size =\"25969664\"]\n  12 [size=\"44107093\", alpha=\"0.12\", expect_size=\"13232128\"] \n  12 -> 13 [size =\"13232128\"]\n  12 -> 14 [size =\"13232128\"]\n  13 [size=\"106373120\", alpha=\"0.08\", expect_size=\"31911936\"] \n  14 [size=\"161556480\", alpha=\"0.12\", expect_size=\"48466944\"] \n  14 -> 15 [size =\"48466944\"]\n  15 [size=\"84442453\", alpha=\"0.19\", expect_size=\"25332736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28821504\", alpha=\"0.07\", expect_size=\"14410752\"] \n  1 -> 2 [size =\"14410752\"]\n  2 [size=\"51791872\", alpha=\"0.07\", expect_size=\"25895936\"] \n  2 -> 3 [size =\"25895936\"]\n  3 [size=\"62373888\", alpha=\"0.20\", expect_size=\"31186944\"] \n  3 -> 4 [size =\"31186944\"]\n  4 [size=\"86990848\", alpha=\"0.13\", expect_size=\"43495424\"] \n  4 -> 5 [size =\"43495424\"]\n  5 [size=\"85608448\", alpha=\"0.13\", expect_size=\"42804224\"] \n  5 -> 6 [size =\"42804224\"]\n  6 [size=\"13772800\", alpha=\"0.12\", expect_size=\"6886400\"] \n  6 -> 7 [size =\"6886400\"]\n  7 [size=\"39976960\", alpha=\"0.08\", expect_size=\"19988480\"] \n  7 -> 8 [size =\"19988480\"]\n  8 [size=\"96849920\", alpha=\"0.19\", expect_size=\"48424960\"] \n  8 -> 9 [size =\"48424960\"]\n  9 [size=\"87066624\", alpha=\"0.11\", expect_size=\"43533312\"] \n  9 -> 10 [size =\"43533312\"]\n  10 [size=\"15400960\", alpha=\"0.06\", expect_size=\"7700480\"] \n  10 -> 11 [size =\"7700480\"]\n  11 [size=\"70629376\", alpha=\"0.07\", expect_size=\"35314688\"] \n  11 -> 12 [size =\"35314688\"]\n  12 [size=\"102830080\", alpha=\"0.19\", expect_size=\"51415040\"] \n  12 -> 13 [size =\"51415040\"]\n  13 [size=\"43663360\", alpha=\"0.01\", expect_size=\"21831680\"] \n  13 -> 14 [size =\"21831680\"]\n  14 [size=\"43515904\", alpha=\"0.15\", expect_size=\"21757952\"] \n  14 -> 15 [size =\"21757952\"]\n  15 [size=\"11536384\", alpha=\"0.13\", expect_size=\"5768192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60459520\", alpha=\"0.11\", expect_size=\"24183808\"] \n  1 -> 6 [size =\"24183808\"]\n  1 -> 8 [size =\"24183808\"]\n  1 -> 9 [size =\"24183808\"]\n  2 [size=\"96985600\", alpha=\"0.00\", expect_size=\"38794240\"] \n  2 -> 7 [size =\"38794240\"]\n  2 -> 8 [size =\"38794240\"]\n  3 [size=\"35514880\", alpha=\"0.03\", expect_size=\"14205952\"] \n  3 -> 7 [size =\"14205952\"]\n  3 -> 8 [size =\"14205952\"]\n  4 [size=\"68981760\", alpha=\"0.15\", expect_size=\"27592704\"] \n  4 -> 7 [size =\"27592704\"]\n  5 [size=\"22248960\", alpha=\"0.12\", expect_size=\"8899584\"] \n  5 -> 7 [size =\"8899584\"]\n  5 -> 8 [size =\"8899584\"]\n  6 [size=\"24163840\", alpha=\"0.01\", expect_size=\"9665536\"] \n  6 -> 10 [size =\"9665536\"]\n  7 [size=\"21793280\", alpha=\"0.04\", expect_size=\"8717312\"] \n  7 -> 12 [size =\"8717312\"]\n  8 [size=\"47631360\", alpha=\"0.06\", expect_size=\"19052544\"] \n  8 -> 10 [size =\"19052544\"]\n  9 [size=\"111925760\", alpha=\"0.03\", expect_size=\"44770304\"] \n  9 -> 10 [size =\"44770304\"]\n  9 -> 11 [size =\"44770304\"]\n  9 -> 12 [size =\"44770304\"]\n  10 [size=\"52126720\", alpha=\"0.05\", expect_size=\"20850688\"] \n  10 -> 13 [size =\"20850688\"]\n  10 -> 14 [size =\"20850688\"]\n  11 [size=\"124216320\", alpha=\"0.00\", expect_size=\"49686528\"] \n  11 -> 15 [size =\"49686528\"]\n  12 [size=\"70917120\", alpha=\"0.05\", expect_size=\"28366848\"] \n  12 -> 14 [size =\"28366848\"]\n  12 -> 15 [size =\"28366848\"]\n  13 [size=\"73715200\", alpha=\"0.11\", expect_size=\"29486080\"] \n  14 [size=\"93890560\", alpha=\"0.05\", expect_size=\"37556224\"] \n  15 [size=\"63656960\", alpha=\"0.03\", expect_size=\"25462784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93120000\", alpha=\"0.19\", expect_size=\"37248000\"] \n  1 -> 2 [size =\"37248000\"]\n  2 [size=\"72161280\", alpha=\"0.13\", expect_size=\"28864512\"] \n  2 -> 3 [size =\"28864512\"]\n  3 [size=\"95042560\", alpha=\"0.20\", expect_size=\"38017024\"] \n  3 -> 4 [size =\"38017024\"]\n  4 [size=\"34895360\", alpha=\"0.03\", expect_size=\"13958144\"] \n  4 -> 5 [size =\"13958144\"]\n  5 [size=\"37982720\", alpha=\"0.01\", expect_size=\"15193088\"] \n  5 -> 6 [size =\"15193088\"]\n  6 [size=\"61734400\", alpha=\"0.11\", expect_size=\"24693760\"] \n  6 -> 7 [size =\"24693760\"]\n  7 [size=\"27776000\", alpha=\"0.16\", expect_size=\"11110400\"] \n  7 -> 8 [size =\"11110400\"]\n  8 [size=\"110548480\", alpha=\"0.03\", expect_size=\"44219392\"] \n  8 -> 9 [size =\"44219392\"]\n  9 [size=\"38039040\", alpha=\"0.17\", expect_size=\"15215616\"] \n  9 -> 10 [size =\"15215616\"]\n  10 [size=\"53670400\", alpha=\"0.19\", expect_size=\"21468160\"] \n  10 -> 11 [size =\"21468160\"]\n  11 [size=\"76200960\", alpha=\"0.08\", expect_size=\"30480384\"] \n  11 -> 12 [size =\"30480384\"]\n  12 [size=\"69898240\", alpha=\"0.17\", expect_size=\"27959296\"] \n  12 -> 13 [size =\"27959296\"]\n  13 [size=\"26608640\", alpha=\"0.17\", expect_size=\"10643456\"] \n  13 -> 14 [size =\"10643456\"]\n  14 [size=\"24949760\", alpha=\"0.12\", expect_size=\"9979904\"] \n  14 -> 15 [size =\"9979904\"]\n  15 [size=\"42977280\", alpha=\"0.13\", expect_size=\"17190912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109463040\", alpha=\"0.13\", expect_size=\"43785216\"] \n  1 -> 13 [size =\"43785216\"]\n  1 -> 14 [size =\"43785216\"]\n  1 -> 15 [size =\"43785216\"]\n  2 [size=\"29954560\", alpha=\"0.18\", expect_size=\"11981824\"] \n  2 -> 12 [size =\"11981824\"]\n  2 -> 13 [size =\"11981824\"]\n  2 -> 14 [size =\"11981824\"]\n  2 -> 15 [size =\"11981824\"]\n  3 [size=\"71608320\", alpha=\"0.15\", expect_size=\"28643328\"] \n  3 -> 13 [size =\"28643328\"]\n  3 -> 13 [size =\"28643328\"]\n  3 -> 14 [size =\"28643328\"]\n  3 -> 15 [size =\"28643328\"]\n  4 [size=\"125882880\", alpha=\"0.14\", expect_size=\"50353152\"] \n  4 -> 15 [size =\"50353152\"]\n  5 [size=\"33630720\", alpha=\"0.06\", expect_size=\"13452288\"] \n  5 -> 12 [size =\"13452288\"]\n  5 -> 14 [size =\"13452288\"]\n  5 -> 15 [size =\"13452288\"]\n  6 [size=\"128115200\", alpha=\"0.05\", expect_size=\"51246080\"] \n  6 -> 12 [size =\"51246080\"]\n  6 -> 13 [size =\"51246080\"]\n  6 -> 14 [size =\"51246080\"]\n  6 -> 15 [size =\"51246080\"]\n  7 [size=\"104824320\", alpha=\"0.18\", expect_size=\"41929728\"] \n  7 -> 12 [size =\"41929728\"]\n  7 -> 14 [size =\"41929728\"]\n  8 [size=\"39974400\", alpha=\"0.14\", expect_size=\"15989760\"] \n  8 -> 12 [size =\"15989760\"]\n  8 -> 13 [size =\"15989760\"]\n  9 [size=\"80524800\", alpha=\"0.05\", expect_size=\"32209920\"] \n  9 -> 12 [size =\"32209920\"]\n  9 -> 13 [size =\"32209920\"]\n  9 -> 14 [size =\"32209920\"]\n  9 -> 15 [size =\"32209920\"]\n  10 [size=\"32760320\", alpha=\"0.03\", expect_size=\"13104128\"] \n  10 -> 12 [size =\"13104128\"]\n  10 -> 13 [size =\"13104128\"]\n  10 -> 14 [size =\"13104128\"]\n  10 -> 15 [size =\"13104128\"]\n  11 [size=\"130309120\", alpha=\"0.11\", expect_size=\"52123648\"] \n  11 -> 14 [size =\"52123648\"]\n  11 -> 15 [size =\"52123648\"]\n  12 [size=\"88148480\", alpha=\"0.01\", expect_size=\"35259392\"] \n  13 [size=\"76001280\", alpha=\"0.08\", expect_size=\"30400512\"] \n  14 [size=\"44697600\", alpha=\"0.14\", expect_size=\"17879040\"] \n  15 [size=\"125939200\", alpha=\"0.16\", expect_size=\"50375680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62415360\", alpha=\"0.00\", expect_size=\"24966144\"] \n  1 -> 13 [size =\"24966144\"]\n  1 -> 15 [size =\"24966144\"]\n  2 [size=\"81477120\", alpha=\"0.10\", expect_size=\"32590848\"] \n  2 -> 12 [size =\"32590848\"]\n  3 [size=\"84019200\", alpha=\"0.05\", expect_size=\"33607680\"] \n  3 -> 12 [size =\"33607680\"]\n  3 -> 13 [size =\"33607680\"]\n  3 -> 14 [size =\"33607680\"]\n  3 -> 15 [size =\"33607680\"]\n  4 [size=\"45314560\", alpha=\"0.16\", expect_size=\"18125824\"] \n  4 -> 13 [size =\"18125824\"]\n  4 -> 14 [size =\"18125824\"]\n  4 -> 14 [size =\"18125824\"]\n  5 [size=\"30714880\", alpha=\"0.03\", expect_size=\"12285952\"] \n  5 -> 13 [size =\"12285952\"]\n  6 [size=\"71411200\", alpha=\"0.11\", expect_size=\"28564480\"] \n  6 -> 12 [size =\"28564480\"]\n  6 -> 14 [size =\"28564480\"]\n  7 [size=\"120632320\", alpha=\"0.16\", expect_size=\"48252928\"] \n  7 -> 12 [size =\"48252928\"]\n  7 -> 13 [size =\"48252928\"]\n  7 -> 15 [size =\"48252928\"]\n  8 [size=\"67084800\", alpha=\"0.04\", expect_size=\"26833920\"] \n  8 -> 12 [size =\"26833920\"]\n  8 -> 14 [size =\"26833920\"]\n  9 [size=\"69340160\", alpha=\"0.08\", expect_size=\"27736064\"] \n  9 -> 12 [size =\"27736064\"]\n  10 [size=\"104855040\", alpha=\"0.01\", expect_size=\"41942016\"] \n  10 -> 12 [size =\"41942016\"]\n  10 -> 15 [size =\"41942016\"]\n  11 [size=\"63636480\", alpha=\"0.12\", expect_size=\"25454592\"] \n  11 -> 13 [size =\"25454592\"]\n  12 [size=\"64555520\", alpha=\"0.06\", expect_size=\"25822208\"] \n  13 [size=\"121625600\", alpha=\"0.07\", expect_size=\"48650240\"] \n  14 [size=\"33128960\", alpha=\"0.18\", expect_size=\"13251584\"] \n  15 [size=\"126072320\", alpha=\"0.08\", expect_size=\"50428928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123972267\", alpha=\"0.11\", expect_size=\"37191680\"] \n  1 -> 9 [size =\"37191680\"]\n  1 -> 12 [size =\"37191680\"]\n  2 [size=\"165693440\", alpha=\"0.14\", expect_size=\"49708032\"] \n  2 -> 8 [size =\"49708032\"]\n  2 -> 11 [size =\"49708032\"]\n  2 -> 12 [size =\"49708032\"]\n  3 [size=\"50216960\", alpha=\"0.12\", expect_size=\"15065088\"] \n  3 -> 11 [size =\"15065088\"]\n  4 [size=\"78793387\", alpha=\"0.03\", expect_size=\"23638016\"] \n  4 -> 9 [size =\"23638016\"]\n  4 -> 11 [size =\"23638016\"]\n  5 [size=\"85217280\", alpha=\"0.11\", expect_size=\"25565184\"] \n  5 -> 7 [size =\"25565184\"]\n  5 -> 10 [size =\"25565184\"]\n  5 -> 11 [size =\"25565184\"]\n  5 -> 12 [size =\"25565184\"]\n  6 [size=\"120326827\", alpha=\"0.01\", expect_size=\"36098048\"] \n  6 -> 7 [size =\"36098048\"]\n  6 -> 8 [size =\"36098048\"]\n  7 [size=\"98201600\", alpha=\"0.14\", expect_size=\"29460480\"] \n  7 -> 13 [size =\"29460480\"]\n  7 -> 14 [size =\"29460480\"]\n  8 [size=\"104731307\", alpha=\"0.18\", expect_size=\"31419392\"] \n  9 [size=\"76526933\", alpha=\"0.18\", expect_size=\"22958080\"] \n  9 -> 13 [size =\"22958080\"]\n  10 [size=\"111670613\", alpha=\"0.18\", expect_size=\"33501184\"] \n  10 -> 13 [size =\"33501184\"]\n  11 [size=\"37232640\", alpha=\"0.06\", expect_size=\"11169792\"] \n  11 -> 14 [size =\"11169792\"]\n  11 -> 15 [size =\"11169792\"]\n  12 [size=\"119852373\", alpha=\"0.07\", expect_size=\"35955712\"] \n  12 -> 13 [size =\"35955712\"]\n  12 -> 14 [size =\"35955712\"]\n  13 [size=\"75332267\", alpha=\"0.13\", expect_size=\"22599680\"] \n  14 [size=\"170110293\", alpha=\"0.01\", expect_size=\"51033088\"] \n  15 [size=\"34734080\", alpha=\"0.02\", expect_size=\"10420224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68747947\", alpha=\"0.16\", expect_size=\"20624384\"] \n  1 -> 2 [size =\"20624384\"]\n  1 -> 3 [size =\"20624384\"]\n  2 [size=\"84176213\", alpha=\"0.20\", expect_size=\"25252864\"] \n  2 -> 4 [size =\"25252864\"]\n  3 [size=\"36321280\", alpha=\"0.18\", expect_size=\"10896384\"] \n  3 -> 4 [size =\"10896384\"]\n  4 [size=\"104966827\", alpha=\"0.04\", expect_size=\"31490048\"] \n  4 -> 5 [size =\"31490048\"]\n  4 -> 6 [size =\"31490048\"]\n  4 -> 7 [size =\"31490048\"]\n  5 [size=\"50012160\", alpha=\"0.12\", expect_size=\"15003648\"] \n  5 -> 10 [size =\"15003648\"]\n  6 [size=\"166761813\", alpha=\"0.02\", expect_size=\"50028544\"] \n  6 -> 8 [size =\"50028544\"]\n  6 -> 9 [size =\"50028544\"]\n  6 -> 10 [size =\"50028544\"]\n  7 [size=\"68468053\", alpha=\"0.06\", expect_size=\"20540416\"] \n  7 -> 8 [size =\"20540416\"]\n  7 -> 9 [size =\"20540416\"]\n  8 [size=\"102912000\", alpha=\"0.07\", expect_size=\"30873600\"] \n  8 -> 11 [size =\"30873600\"]\n  9 [size=\"150852267\", alpha=\"0.04\", expect_size=\"45255680\"] \n  10 [size=\"110933333\", alpha=\"0.07\", expect_size=\"33280000\"] \n  10 -> 12 [size =\"33280000\"]\n  11 [size=\"58497707\", alpha=\"0.14\", expect_size=\"17549312\"] \n  11 -> 13 [size =\"17549312\"]\n  12 [size=\"25617067\", alpha=\"0.18\", expect_size=\"7685120\"] \n  12 -> 13 [size =\"7685120\"]\n  13 [size=\"25446400\", alpha=\"0.15\", expect_size=\"7633920\"] \n  13 -> 14 [size =\"7633920\"]\n  13 -> 15 [size =\"7633920\"]\n  14 [size=\"167406933\", alpha=\"0.06\", expect_size=\"50222080\"] \n  15 [size=\"45172053\", alpha=\"0.18\", expect_size=\"13551616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103846400\", alpha=\"0.02\", expect_size=\"41538560\"] \n  1 -> 2 [size =\"41538560\"]\n  2 [size=\"63505920\", alpha=\"0.17\", expect_size=\"25402368\"] \n  2 -> 3 [size =\"25402368\"]\n  3 [size=\"40378880\", alpha=\"0.14\", expect_size=\"16151552\"] \n  3 -> 4 [size =\"16151552\"]\n  4 [size=\"128104960\", alpha=\"0.05\", expect_size=\"51241984\"] \n  4 -> 5 [size =\"51241984\"]\n  5 [size=\"90956800\", alpha=\"0.04\", expect_size=\"36382720\"] \n  5 -> 6 [size =\"36382720\"]\n  6 [size=\"20940800\", alpha=\"0.06\", expect_size=\"8376320\"] \n  6 -> 7 [size =\"8376320\"]\n  7 [size=\"49054720\", alpha=\"0.19\", expect_size=\"19621888\"] \n  7 -> 8 [size =\"19621888\"]\n  8 [size=\"38412800\", alpha=\"0.04\", expect_size=\"15365120\"] \n  8 -> 9 [size =\"15365120\"]\n  9 [size=\"31375360\", alpha=\"0.20\", expect_size=\"12550144\"] \n  9 -> 10 [size =\"12550144\"]\n  10 [size=\"61086720\", alpha=\"0.12\", expect_size=\"24434688\"] \n  10 -> 11 [size =\"24434688\"]\n  11 [size=\"14807040\", alpha=\"0.17\", expect_size=\"5922816\"] \n  11 -> 12 [size =\"5922816\"]\n  12 [size=\"25446400\", alpha=\"0.08\", expect_size=\"10178560\"] \n  12 -> 13 [size =\"10178560\"]\n  13 [size=\"126640640\", alpha=\"0.19\", expect_size=\"50656256\"] \n  13 -> 14 [size =\"50656256\"]\n  14 [size=\"91079680\", alpha=\"0.10\", expect_size=\"36431872\"] \n  14 -> 15 [size =\"36431872\"]\n  15 [size=\"120801280\", alpha=\"0.20\", expect_size=\"48320512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78453760\", alpha=\"0.17\", expect_size=\"31381504\"] \n  1 -> 3 [size =\"31381504\"]\n  2 [size=\"22410240\", alpha=\"0.04\", expect_size=\"8964096\"] \n  2 -> 3 [size =\"8964096\"]\n  2 -> 4 [size =\"8964096\"]\n  3 [size=\"24299520\", alpha=\"0.03\", expect_size=\"9719808\"] \n  3 -> 5 [size =\"9719808\"]\n  3 -> 6 [size =\"9719808\"]\n  4 [size=\"27696640\", alpha=\"0.08\", expect_size=\"11078656\"] \n  4 -> 5 [size =\"11078656\"]\n  4 -> 6 [size =\"11078656\"]\n  5 [size=\"73118720\", alpha=\"0.09\", expect_size=\"29247488\"] \n  5 -> 7 [size =\"29247488\"]\n  5 -> 8 [size =\"29247488\"]\n  6 [size=\"66017280\", alpha=\"0.11\", expect_size=\"26406912\"] \n  6 -> 7 [size =\"26406912\"]\n  6 -> 8 [size =\"26406912\"]\n  7 [size=\"93460480\", alpha=\"0.03\", expect_size=\"37384192\"] \n  7 -> 9 [size =\"37384192\"]\n  7 -> 10 [size =\"37384192\"]\n  8 [size=\"109841920\", alpha=\"0.14\", expect_size=\"43936768\"] \n  8 -> 10 [size =\"43936768\"]\n  9 [size=\"105290240\", alpha=\"0.06\", expect_size=\"42116096\"] \n  9 -> 11 [size =\"42116096\"]\n  10 [size=\"103818240\", alpha=\"0.18\", expect_size=\"41527296\"] \n  10 -> 11 [size =\"41527296\"]\n  11 [size=\"86471680\", alpha=\"0.02\", expect_size=\"34588672\"] \n  11 -> 12 [size =\"34588672\"]\n  11 -> 13 [size =\"34588672\"]\n  12 [size=\"67166720\", alpha=\"0.09\", expect_size=\"26866688\"] \n  12 -> 14 [size =\"26866688\"]\n  12 -> 15 [size =\"26866688\"]\n  13 [size=\"92541440\", alpha=\"0.02\", expect_size=\"37016576\"] \n  13 -> 14 [size =\"37016576\"]\n  13 -> 15 [size =\"37016576\"]\n  14 [size=\"109043200\", alpha=\"0.19\", expect_size=\"43617280\"] \n  15 [size=\"36305920\", alpha=\"0.16\", expect_size=\"14522368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34102613\", alpha=\"0.03\", expect_size=\"10230784\"] \n  1 -> 2 [size =\"10230784\"]\n  2 [size=\"48534187\", alpha=\"0.13\", expect_size=\"14560256\"] \n  2 -> 3 [size =\"14560256\"]\n  3 [size=\"87412053\", alpha=\"0.04\", expect_size=\"26223616\"] \n  3 -> 4 [size =\"26223616\"]\n  4 [size=\"157259093\", alpha=\"0.02\", expect_size=\"47177728\"] \n  4 -> 5 [size =\"47177728\"]\n  5 [size=\"86070613\", alpha=\"0.19\", expect_size=\"25821184\"] \n  5 -> 6 [size =\"25821184\"]\n  6 [size=\"99744427\", alpha=\"0.14\", expect_size=\"29923328\"] \n  6 -> 7 [size =\"29923328\"]\n  7 [size=\"170031787\", alpha=\"0.11\", expect_size=\"51009536\"] \n  7 -> 8 [size =\"51009536\"]\n  8 [size=\"137117013\", alpha=\"0.10\", expect_size=\"41135104\"] \n  8 -> 9 [size =\"41135104\"]\n  9 [size=\"162232320\", alpha=\"0.17\", expect_size=\"48669696\"] \n  9 -> 10 [size =\"48669696\"]\n  10 [size=\"67304107\", alpha=\"0.13\", expect_size=\"20191232\"] \n  10 -> 11 [size =\"20191232\"]\n  11 [size=\"78445227\", alpha=\"0.03\", expect_size=\"23533568\"] \n  11 -> 12 [size =\"23533568\"]\n  12 [size=\"101051733\", alpha=\"0.07\", expect_size=\"30315520\"] \n  12 -> 13 [size =\"30315520\"]\n  13 [size=\"44977493\", alpha=\"0.04\", expect_size=\"13493248\"] \n  13 -> 14 [size =\"13493248\"]\n  14 [size=\"73140907\", alpha=\"0.04\", expect_size=\"21942272\"] \n  14 -> 15 [size =\"21942272\"]\n  15 [size=\"86807893\", alpha=\"0.01\", expect_size=\"26042368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46411776\", alpha=\"0.05\", expect_size=\"23205888\"] \n  1 -> 8 [size =\"23205888\"]\n  1 -> 9 [size =\"23205888\"]\n  1 -> 10 [size =\"23205888\"]\n  1 -> 11 [size =\"23205888\"]\n  1 -> 12 [size =\"23205888\"]\n  2 [size=\"62900224\", alpha=\"0.15\", expect_size=\"31450112\"] \n  2 -> 10 [size =\"31450112\"]\n  3 [size=\"63156224\", alpha=\"0.04\", expect_size=\"31578112\"] \n  3 -> 11 [size =\"31578112\"]\n  4 [size=\"48852992\", alpha=\"0.01\", expect_size=\"24426496\"] \n  4 -> 7 [size =\"24426496\"]\n  4 -> 11 [size =\"24426496\"]\n  5 [size=\"60606464\", alpha=\"0.03\", expect_size=\"30303232\"] \n  5 -> 9 [size =\"30303232\"]\n  6 [size=\"66256896\", alpha=\"0.16\", expect_size=\"33128448\"] \n  6 -> 8 [size =\"33128448\"]\n  6 -> 10 [size =\"33128448\"]\n  7 [size=\"63449088\", alpha=\"0.08\", expect_size=\"31724544\"] \n  7 -> 13 [size =\"31724544\"]\n  7 -> 14 [size =\"31724544\"]\n  8 [size=\"44185600\", alpha=\"0.00\", expect_size=\"22092800\"] \n  9 [size=\"89516032\", alpha=\"0.01\", expect_size=\"44758016\"] \n  10 [size=\"35645440\", alpha=\"0.13\", expect_size=\"17822720\"] \n  10 -> 14 [size =\"17822720\"]\n  10 -> 15 [size =\"17822720\"]\n  11 [size=\"40681472\", alpha=\"0.08\", expect_size=\"20340736\"] \n  11 -> 13 [size =\"20340736\"]\n  12 [size=\"62730240\", alpha=\"0.19\", expect_size=\"31365120\"] \n  12 -> 13 [size =\"31365120\"]\n  12 -> 14 [size =\"31365120\"]\n  13 [size=\"41211904\", alpha=\"0.16\", expect_size=\"20605952\"] \n  14 [size=\"62136320\", alpha=\"0.14\", expect_size=\"31068160\"] \n  15 [size=\"67387392\", alpha=\"0.12\", expect_size=\"33693696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85806080\", alpha=\"0.08\", expect_size=\"34322432\"] \n  1 -> 2 [size =\"34322432\"]\n  2 [size=\"110748160\", alpha=\"0.00\", expect_size=\"44299264\"] \n  2 -> 3 [size =\"44299264\"]\n  3 [size=\"32330240\", alpha=\"0.05\", expect_size=\"12932096\"] \n  3 -> 4 [size =\"12932096\"]\n  4 [size=\"104627200\", alpha=\"0.12\", expect_size=\"41850880\"] \n  4 -> 5 [size =\"41850880\"]\n  5 [size=\"36060160\", alpha=\"0.05\", expect_size=\"14424064\"] \n  5 -> 6 [size =\"14424064\"]\n  6 [size=\"104683520\", alpha=\"0.02\", expect_size=\"41873408\"] \n  6 -> 7 [size =\"41873408\"]\n  7 [size=\"91143680\", alpha=\"0.04\", expect_size=\"36457472\"] \n  7 -> 8 [size =\"36457472\"]\n  8 [size=\"37706240\", alpha=\"0.08\", expect_size=\"15082496\"] \n  8 -> 9 [size =\"15082496\"]\n  9 [size=\"38955520\", alpha=\"0.10\", expect_size=\"15582208\"] \n  9 -> 10 [size =\"15582208\"]\n  10 [size=\"47014400\", alpha=\"0.17\", expect_size=\"18805760\"] \n  10 -> 11 [size =\"18805760\"]\n  11 [size=\"55633920\", alpha=\"0.15\", expect_size=\"22253568\"] \n  11 -> 12 [size =\"22253568\"]\n  12 [size=\"99901440\", alpha=\"0.04\", expect_size=\"39960576\"] \n  12 -> 13 [size =\"39960576\"]\n  13 [size=\"102758400\", alpha=\"0.14\", expect_size=\"41103360\"] \n  13 -> 14 [size =\"41103360\"]\n  14 [size=\"14074880\", alpha=\"0.07\", expect_size=\"5629952\"] \n  14 -> 15 [size =\"5629952\"]\n  15 [size=\"83604480\", alpha=\"0.19\", expect_size=\"33441792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31471616\", alpha=\"0.11\", expect_size=\"15735808\"] \n  1 -> 3 [size =\"15735808\"]\n  2 [size=\"76849152\", alpha=\"0.01\", expect_size=\"38424576\"] \n  2 -> 3 [size =\"38424576\"]\n  3 [size=\"52334592\", alpha=\"0.14\", expect_size=\"26167296\"] \n  3 -> 4 [size =\"26167296\"]\n  3 -> 5 [size =\"26167296\"]\n  4 [size=\"54796288\", alpha=\"0.09\", expect_size=\"27398144\"] \n  5 [size=\"72837120\", alpha=\"0.03\", expect_size=\"36418560\"] \n  5 -> 6 [size =\"36418560\"]\n  6 [size=\"86562816\", alpha=\"0.09\", expect_size=\"43281408\"] \n  6 -> 7 [size =\"43281408\"]\n  6 -> 8 [size =\"43281408\"]\n  7 [size=\"30965760\", alpha=\"0.04\", expect_size=\"15482880\"] \n  7 -> 9 [size =\"15482880\"]\n  8 [size=\"103522304\", alpha=\"0.12\", expect_size=\"51761152\"] \n  8 -> 9 [size =\"51761152\"]\n  9 [size=\"71168000\", alpha=\"0.04\", expect_size=\"35584000\"] \n  9 -> 10 [size =\"35584000\"]\n  9 -> 11 [size =\"35584000\"]\n  10 [size=\"87562240\", alpha=\"0.17\", expect_size=\"43781120\"] \n  10 -> 12 [size =\"43781120\"]\n  10 -> 13 [size =\"43781120\"]\n  11 [size=\"76363776\", alpha=\"0.14\", expect_size=\"38181888\"] \n  11 -> 12 [size =\"38181888\"]\n  11 -> 13 [size =\"38181888\"]\n  12 [size=\"33314816\", alpha=\"0.15\", expect_size=\"16657408\"] \n  12 -> 14 [size =\"16657408\"]\n  13 [size=\"36818944\", alpha=\"0.09\", expect_size=\"18409472\"] \n  13 -> 15 [size =\"18409472\"]\n  14 [size=\"102955008\", alpha=\"0.06\", expect_size=\"51477504\"] \n  15 [size=\"49455104\", alpha=\"0.09\", expect_size=\"24727552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47263744\", alpha=\"0.17\", expect_size=\"23631872\"] \n  1 -> 4 [size =\"23631872\"]\n  2 [size=\"58021888\", alpha=\"0.10\", expect_size=\"29010944\"] \n  2 -> 3 [size =\"29010944\"]\n  3 [size=\"44500992\", alpha=\"0.15\", expect_size=\"22250496\"] \n  4 [size=\"91037696\", alpha=\"0.11\", expect_size=\"45518848\"] \n  4 -> 5 [size =\"45518848\"]\n  5 [size=\"82831360\", alpha=\"0.08\", expect_size=\"41415680\"] \n  5 -> 6 [size =\"41415680\"]\n  6 [size=\"82446336\", alpha=\"0.17\", expect_size=\"41223168\"] \n  6 -> 7 [size =\"41223168\"]\n  6 -> 8 [size =\"41223168\"]\n  7 [size=\"20377600\", alpha=\"0.16\", expect_size=\"10188800\"] \n  7 -> 9 [size =\"10188800\"]\n  7 -> 10 [size =\"10188800\"]\n  8 [size=\"30693376\", alpha=\"0.11\", expect_size=\"15346688\"] \n  8 -> 9 [size =\"15346688\"]\n  8 -> 10 [size =\"15346688\"]\n  9 [size=\"55379968\", alpha=\"0.10\", expect_size=\"27689984\"] \n  10 [size=\"18968576\", alpha=\"0.04\", expect_size=\"9484288\"] \n  10 -> 11 [size =\"9484288\"]\n  10 -> 12 [size =\"9484288\"]\n  11 [size=\"18092032\", alpha=\"0.13\", expect_size=\"9046016\"] \n  11 -> 13 [size =\"9046016\"]\n  11 -> 14 [size =\"9046016\"]\n  12 [size=\"99768320\", alpha=\"0.05\", expect_size=\"49884160\"] \n  12 -> 13 [size =\"49884160\"]\n  12 -> 14 [size =\"49884160\"]\n  13 [size=\"54226944\", alpha=\"0.16\", expect_size=\"27113472\"] \n  13 -> 15 [size =\"27113472\"]\n  14 [size=\"28317696\", alpha=\"0.10\", expect_size=\"14158848\"] \n  15 [size=\"82368512\", alpha=\"0.01\", expect_size=\"41184256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154067627\", alpha=\"0.16\", expect_size=\"46220288\"] \n  1 -> 14 [size =\"46220288\"]\n  2 [size=\"105185280\", alpha=\"0.06\", expect_size=\"31555584\"] \n  2 -> 14 [size =\"31555584\"]\n  3 [size=\"33802240\", alpha=\"0.18\", expect_size=\"10140672\"] \n  3 -> 13 [size =\"10140672\"]\n  3 -> 15 [size =\"10140672\"]\n  4 [size=\"126272853\", alpha=\"0.15\", expect_size=\"37881856\"] \n  4 -> 13 [size =\"37881856\"]\n  4 -> 14 [size =\"37881856\"]\n  5 [size=\"96675840\", alpha=\"0.19\", expect_size=\"29002752\"] \n  5 -> 14 [size =\"29002752\"]\n  6 [size=\"57968640\", alpha=\"0.10\", expect_size=\"17390592\"] \n  6 -> 13 [size =\"17390592\"]\n  6 -> 14 [size =\"17390592\"]\n  7 [size=\"52326400\", alpha=\"0.09\", expect_size=\"15697920\"] \n  7 -> 13 [size =\"15697920\"]\n  8 [size=\"119193600\", alpha=\"0.16\", expect_size=\"35758080\"] \n  8 -> 15 [size =\"35758080\"]\n  9 [size=\"58852693\", alpha=\"0.02\", expect_size=\"17655808\"] \n  9 -> 15 [size =\"17655808\"]\n  10 [size=\"86582613\", alpha=\"0.14\", expect_size=\"25974784\"] \n  11 [size=\"21811200\", alpha=\"0.20\", expect_size=\"6543360\"] \n  11 -> 14 [size =\"6543360\"]\n  12 [size=\"151272107\", alpha=\"0.14\", expect_size=\"45381632\"] \n  12 -> 14 [size =\"45381632\"]\n  13 [size=\"40796160\", alpha=\"0.15\", expect_size=\"12238848\"] \n  14 [size=\"28907520\", alpha=\"0.11\", expect_size=\"8672256\"] \n  15 [size=\"142957227\", alpha=\"0.17\", expect_size=\"42887168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12881920\", alpha=\"0.07\", expect_size=\"6440960\"] \n  1 -> 2 [size =\"6440960\"]\n  2 [size=\"104714240\", alpha=\"0.16\", expect_size=\"52357120\"] \n  2 -> 3 [size =\"52357120\"]\n  3 [size=\"38782976\", alpha=\"0.07\", expect_size=\"19391488\"] \n  3 -> 4 [size =\"19391488\"]\n  3 -> 5 [size =\"19391488\"]\n  4 [size=\"93784064\", alpha=\"0.18\", expect_size=\"46892032\"] \n  4 -> 6 [size =\"46892032\"]\n  5 [size=\"96196608\", alpha=\"0.06\", expect_size=\"48098304\"] \n  6 [size=\"29855744\", alpha=\"0.16\", expect_size=\"14927872\"] \n  6 -> 7 [size =\"14927872\"]\n  7 [size=\"66508800\", alpha=\"0.02\", expect_size=\"33254400\"] \n  7 -> 8 [size =\"33254400\"]\n  8 [size=\"11671552\", alpha=\"0.01\", expect_size=\"5835776\"] \n  8 -> 9 [size =\"5835776\"]\n  8 -> 10 [size =\"5835776\"]\n  9 [size=\"30214144\", alpha=\"0.10\", expect_size=\"15107072\"] \n  9 -> 11 [size =\"15107072\"]\n  9 -> 12 [size =\"15107072\"]\n  10 [size=\"20199424\", alpha=\"0.05\", expect_size=\"10099712\"] \n  10 -> 11 [size =\"10099712\"]\n  10 -> 12 [size =\"10099712\"]\n  11 [size=\"15544320\", alpha=\"0.17\", expect_size=\"7772160\"] \n  11 -> 14 [size =\"7772160\"]\n  12 [size=\"47366144\", alpha=\"0.11\", expect_size=\"23683072\"] \n  12 -> 13 [size =\"23683072\"]\n  12 -> 14 [size =\"23683072\"]\n  13 [size=\"30404608\", alpha=\"0.04\", expect_size=\"15202304\"] \n  13 -> 15 [size =\"15202304\"]\n  14 [size=\"61263872\", alpha=\"0.14\", expect_size=\"30631936\"] \n  14 -> 15 [size =\"30631936\"]\n  15 [size=\"49700864\", alpha=\"0.19\", expect_size=\"24850432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61291520\", alpha=\"0.09\", expect_size=\"24516608\"] \n  1 -> 2 [size =\"24516608\"]\n  2 [size=\"85644800\", alpha=\"0.06\", expect_size=\"34257920\"] \n  2 -> 3 [size =\"34257920\"]\n  3 [size=\"14233600\", alpha=\"0.00\", expect_size=\"5693440\"] \n  3 -> 4 [size =\"5693440\"]\n  4 [size=\"82547200\", alpha=\"0.02\", expect_size=\"33018880\"] \n  4 -> 5 [size =\"33018880\"]\n  5 [size=\"29237760\", alpha=\"0.12\", expect_size=\"11695104\"] \n  5 -> 6 [size =\"11695104\"]\n  6 [size=\"104458240\", alpha=\"0.04\", expect_size=\"41783296\"] \n  6 -> 7 [size =\"41783296\"]\n  6 -> 8 [size =\"41783296\"]\n  7 [size=\"120066560\", alpha=\"0.08\", expect_size=\"48026624\"] \n  7 -> 9 [size =\"48026624\"]\n  8 [size=\"129164800\", alpha=\"0.10\", expect_size=\"51665920\"] \n  9 [size=\"62952960\", alpha=\"0.19\", expect_size=\"25181184\"] \n  9 -> 10 [size =\"25181184\"]\n  10 [size=\"101076480\", alpha=\"0.18\", expect_size=\"40430592\"] \n  10 -> 11 [size =\"40430592\"]\n  10 -> 12 [size =\"40430592\"]\n  11 [size=\"81758720\", alpha=\"0.17\", expect_size=\"32703488\"] \n  11 -> 13 [size =\"32703488\"]\n  12 [size=\"18792960\", alpha=\"0.10\", expect_size=\"7517184\"] \n  12 -> 14 [size =\"7517184\"]\n  13 [size=\"55352320\", alpha=\"0.02\", expect_size=\"22140928\"] \n  13 -> 15 [size =\"22140928\"]\n  14 [size=\"55979520\", alpha=\"0.17\", expect_size=\"22391808\"] \n  15 [size=\"70607360\", alpha=\"0.02\", expect_size=\"28242944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46598144\", alpha=\"0.19\", expect_size=\"23299072\"] \n  2 [size=\"64139264\", alpha=\"0.13\", expect_size=\"32069632\"] \n  2 -> 3 [size =\"32069632\"]\n  3 [size=\"78047232\", alpha=\"0.19\", expect_size=\"39023616\"] \n  3 -> 4 [size =\"39023616\"]\n  3 -> 5 [size =\"39023616\"]\n  3 -> 6 [size =\"39023616\"]\n  4 [size=\"14219264\", alpha=\"0.17\", expect_size=\"7109632\"] \n  5 [size=\"95610880\", alpha=\"0.13\", expect_size=\"47805440\"] \n  6 [size=\"29714432\", alpha=\"0.17\", expect_size=\"14857216\"] \n  6 -> 7 [size =\"14857216\"]\n  6 -> 8 [size =\"14857216\"]\n  7 [size=\"20219904\", alpha=\"0.00\", expect_size=\"10109952\"] \n  7 -> 9 [size =\"10109952\"]\n  7 -> 10 [size =\"10109952\"]\n  7 -> 11 [size =\"10109952\"]\n  8 [size=\"74006528\", alpha=\"0.16\", expect_size=\"37003264\"] \n  8 -> 11 [size =\"37003264\"]\n  8 -> 12 [size =\"37003264\"]\n  9 [size=\"24344576\", alpha=\"0.18\", expect_size=\"12172288\"] \n  9 -> 13 [size =\"12172288\"]\n  9 -> 14 [size =\"12172288\"]\n  9 -> 15 [size =\"12172288\"]\n  10 [size=\"88768512\", alpha=\"0.16\", expect_size=\"44384256\"] \n  10 -> 13 [size =\"44384256\"]\n  10 -> 15 [size =\"44384256\"]\n  11 [size=\"77488128\", alpha=\"0.07\", expect_size=\"38744064\"] \n  11 -> 14 [size =\"38744064\"]\n  12 [size=\"71272448\", alpha=\"0.17\", expect_size=\"35636224\"] \n  12 -> 14 [size =\"35636224\"]\n  13 [size=\"39174144\", alpha=\"0.17\", expect_size=\"19587072\"] \n  14 [size=\"34377728\", alpha=\"0.18\", expect_size=\"17188864\"] \n  15 [size=\"19101696\", alpha=\"0.17\", expect_size=\"9550848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168792747\", alpha=\"0.17\", expect_size=\"50637824\"] \n  1 -> 2 [size =\"50637824\"]\n  2 [size=\"142110720\", alpha=\"0.16\", expect_size=\"42633216\"] \n  2 -> 3 [size =\"42633216\"]\n  3 [size=\"67348480\", alpha=\"0.02\", expect_size=\"20204544\"] \n  3 -> 4 [size =\"20204544\"]\n  4 [size=\"28228267\", alpha=\"0.19\", expect_size=\"8468480\"] \n  4 -> 5 [size =\"8468480\"]\n  5 [size=\"107369813\", alpha=\"0.19\", expect_size=\"32210944\"] \n  5 -> 6 [size =\"32210944\"]\n  6 [size=\"78520320\", alpha=\"0.07\", expect_size=\"23556096\"] \n  6 -> 7 [size =\"23556096\"]\n  7 [size=\"45509973\", alpha=\"0.13\", expect_size=\"13652992\"] \n  7 -> 8 [size =\"13652992\"]\n  8 [size=\"17964373\", alpha=\"0.06\", expect_size=\"5389312\"] \n  8 -> 9 [size =\"5389312\"]\n  9 [size=\"25603413\", alpha=\"0.06\", expect_size=\"7681024\"] \n  9 -> 10 [size =\"7681024\"]\n  10 [size=\"102359040\", alpha=\"0.19\", expect_size=\"30707712\"] \n  10 -> 11 [size =\"30707712\"]\n  11 [size=\"92573013\", alpha=\"0.07\", expect_size=\"27771904\"] \n  11 -> 12 [size =\"27771904\"]\n  12 [size=\"72649387\", alpha=\"0.13\", expect_size=\"21794816\"] \n  12 -> 13 [size =\"21794816\"]\n  13 [size=\"41605120\", alpha=\"0.14\", expect_size=\"12481536\"] \n  13 -> 14 [size =\"12481536\"]\n  14 [size=\"60207787\", alpha=\"0.17\", expect_size=\"18062336\"] \n  14 -> 15 [size =\"18062336\"]\n  15 [size=\"51449173\", alpha=\"0.14\", expect_size=\"15434752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138352640\", alpha=\"0.05\", expect_size=\"41505792\"] \n  1 -> 6 [size =\"41505792\"]\n  2 [size=\"121572693\", alpha=\"0.00\", expect_size=\"36471808\"] \n  2 -> 4 [size =\"36471808\"]\n  3 [size=\"66921813\", alpha=\"0.15\", expect_size=\"20076544\"] \n  3 -> 5 [size =\"20076544\"]\n  3 -> 6 [size =\"20076544\"]\n  4 [size=\"162792107\", alpha=\"0.05\", expect_size=\"48837632\"] \n  4 -> 7 [size =\"48837632\"]\n  4 -> 9 [size =\"48837632\"]\n  5 [size=\"81196373\", alpha=\"0.12\", expect_size=\"24358912\"] \n  6 [size=\"167055360\", alpha=\"0.10\", expect_size=\"50116608\"] \n  6 -> 7 [size =\"50116608\"]\n  6 -> 8 [size =\"50116608\"]\n  7 [size=\"74823680\", alpha=\"0.02\", expect_size=\"22447104\"] \n  7 -> 10 [size =\"22447104\"]\n  7 -> 11 [size =\"22447104\"]\n  8 [size=\"154071040\", alpha=\"0.10\", expect_size=\"46221312\"] \n  8 -> 12 [size =\"46221312\"]\n  9 [size=\"109745493\", alpha=\"0.04\", expect_size=\"32923648\"] \n  9 -> 10 [size =\"32923648\"]\n  10 [size=\"65744213\", alpha=\"0.14\", expect_size=\"19723264\"] \n  10 -> 14 [size =\"19723264\"]\n  11 [size=\"170318507\", alpha=\"0.11\", expect_size=\"51095552\"] \n  11 -> 14 [size =\"51095552\"]\n  11 -> 15 [size =\"51095552\"]\n  12 [size=\"52302507\", alpha=\"0.19\", expect_size=\"15690752\"] \n  12 -> 13 [size =\"15690752\"]\n  12 -> 15 [size =\"15690752\"]\n  13 [size=\"55647573\", alpha=\"0.05\", expect_size=\"16694272\"] \n  14 [size=\"172902400\", alpha=\"0.13\", expect_size=\"51870720\"] \n  15 [size=\"57511253\", alpha=\"0.17\", expect_size=\"17253376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96713387\", alpha=\"0.11\", expect_size=\"29014016\"] \n  1 -> 11 [size =\"29014016\"]\n  1 -> 12 [size =\"29014016\"]\n  2 [size=\"129413120\", alpha=\"0.07\", expect_size=\"38823936\"] \n  2 -> 11 [size =\"38823936\"]\n  2 -> 12 [size =\"38823936\"]\n  2 -> 15 [size =\"38823936\"]\n  3 [size=\"139308373\", alpha=\"0.01\", expect_size=\"41792512\"] \n  3 -> 11 [size =\"41792512\"]\n  3 -> 12 [size =\"41792512\"]\n  3 -> 13 [size =\"41792512\"]\n  4 [size=\"39540053\", alpha=\"0.17\", expect_size=\"11862016\"] \n  4 -> 11 [size =\"11862016\"]\n  4 -> 12 [size =\"11862016\"]\n  5 [size=\"160559787\", alpha=\"0.13\", expect_size=\"48167936\"] \n  5 -> 11 [size =\"48167936\"]\n  5 -> 12 [size =\"48167936\"]\n  6 [size=\"164829867\", alpha=\"0.09\", expect_size=\"49448960\"] \n  6 -> 12 [size =\"49448960\"]\n  6 -> 15 [size =\"49448960\"]\n  7 [size=\"111800320\", alpha=\"0.18\", expect_size=\"33540096\"] \n  7 -> 14 [size =\"33540096\"]\n  7 -> 15 [size =\"33540096\"]\n  8 [size=\"113711787\", alpha=\"0.02\", expect_size=\"34113536\"] \n  8 -> 13 [size =\"34113536\"]\n  8 -> 14 [size =\"34113536\"]\n  9 [size=\"63761067\", alpha=\"0.04\", expect_size=\"19128320\"] \n  9 -> 11 [size =\"19128320\"]\n  9 -> 14 [size =\"19128320\"]\n  10 [size=\"131078827\", alpha=\"0.12\", expect_size=\"39323648\"] \n  10 -> 12 [size =\"39323648\"]\n  11 [size=\"60067840\", alpha=\"0.15\", expect_size=\"18020352\"] \n  12 [size=\"144315733\", alpha=\"0.06\", expect_size=\"43294720\"] \n  13 [size=\"40994133\", alpha=\"0.08\", expect_size=\"12298240\"] \n  14 [size=\"47988053\", alpha=\"0.11\", expect_size=\"14396416\"] \n  15 [size=\"25077760\", alpha=\"0.07\", expect_size=\"7523328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34737493\", alpha=\"0.18\", expect_size=\"10421248\"] \n  1 -> 15 [size =\"10421248\"]\n  2 [size=\"120398507\", alpha=\"0.19\", expect_size=\"36119552\"] \n  2 -> 15 [size =\"36119552\"]\n  3 [size=\"78359893\", alpha=\"0.11\", expect_size=\"23507968\"] \n  3 -> 13 [size =\"23507968\"]\n  3 -> 15 [size =\"23507968\"]\n  4 [size=\"169437867\", alpha=\"0.09\", expect_size=\"50831360\"] \n  4 -> 12 [size =\"50831360\"]\n  4 -> 13 [size =\"50831360\"]\n  4 -> 14 [size =\"50831360\"]\n  5 [size=\"79701333\", alpha=\"0.10\", expect_size=\"23910400\"] \n  5 -> 13 [size =\"23910400\"]\n  5 -> 13 [size =\"23910400\"]\n  6 [size=\"169861120\", alpha=\"0.05\", expect_size=\"50958336\"] \n  6 -> 14 [size =\"50958336\"]\n  6 -> 15 [size =\"50958336\"]\n  7 [size=\"135232853\", alpha=\"0.06\", expect_size=\"40569856\"] \n  7 -> 13 [size =\"40569856\"]\n  7 -> 14 [size =\"40569856\"]\n  8 [size=\"73977173\", alpha=\"0.11\", expect_size=\"22193152\"] \n  8 -> 14 [size =\"22193152\"]\n  8 -> 15 [size =\"22193152\"]\n  9 [size=\"130703360\", alpha=\"0.18\", expect_size=\"39211008\"] \n  9 -> 14 [size =\"39211008\"]\n  10 [size=\"73622187\", alpha=\"0.10\", expect_size=\"22086656\"] \n  11 [size=\"132693333\", alpha=\"0.16\", expect_size=\"39808000\"] \n  12 [size=\"117671253\", alpha=\"0.01\", expect_size=\"35301376\"] \n  13 [size=\"107257173\", alpha=\"0.17\", expect_size=\"32177152\"] \n  14 [size=\"38635520\", alpha=\"0.05\", expect_size=\"11590656\"] \n  15 [size=\"110643200\", alpha=\"0.10\", expect_size=\"33192960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38382933\", alpha=\"0.18\", expect_size=\"11514880\"] \n  1 -> 2 [size =\"11514880\"]\n  1 -> 3 [size =\"11514880\"]\n  2 [size=\"152948053\", alpha=\"0.19\", expect_size=\"45884416\"] \n  2 -> 4 [size =\"45884416\"]\n  3 [size=\"123159893\", alpha=\"0.20\", expect_size=\"36947968\"] \n  3 -> 5 [size =\"36947968\"]\n  4 [size=\"154760533\", alpha=\"0.15\", expect_size=\"46428160\"] \n  4 -> 7 [size =\"46428160\"]\n  5 [size=\"31054507\", alpha=\"0.07\", expect_size=\"9316352\"] \n  5 -> 6 [size =\"9316352\"]\n  6 [size=\"60668587\", alpha=\"0.07\", expect_size=\"18200576\"] \n  6 -> 8 [size =\"18200576\"]\n  7 [size=\"162638507\", alpha=\"0.10\", expect_size=\"48791552\"] \n  7 -> 8 [size =\"48791552\"]\n  8 [size=\"116565333\", alpha=\"0.05\", expect_size=\"34969600\"] \n  8 -> 9 [size =\"34969600\"]\n  9 [size=\"162566827\", alpha=\"0.08\", expect_size=\"48770048\"] \n  9 -> 10 [size =\"48770048\"]\n  10 [size=\"40243200\", alpha=\"0.17\", expect_size=\"12072960\"] \n  10 -> 11 [size =\"12072960\"]\n  11 [size=\"62003200\", alpha=\"0.02\", expect_size=\"18600960\"] \n  11 -> 12 [size =\"18600960\"]\n  11 -> 13 [size =\"18600960\"]\n  12 [size=\"49520640\", alpha=\"0.09\", expect_size=\"14856192\"] \n  13 [size=\"37823147\", alpha=\"0.00\", expect_size=\"11346944\"] \n  13 -> 14 [size =\"11346944\"]\n  14 [size=\"34672640\", alpha=\"0.06\", expect_size=\"10401792\"] \n  14 -> 15 [size =\"10401792\"]\n  15 [size=\"153480533\", alpha=\"0.04\", expect_size=\"46044160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59031040\", alpha=\"0.10\", expect_size=\"23612416\"] \n  1 -> 2 [size =\"23612416\"]\n  2 [size=\"19361280\", alpha=\"0.05\", expect_size=\"7744512\"] \n  2 -> 3 [size =\"7744512\"]\n  2 -> 4 [size =\"7744512\"]\n  3 [size=\"60282880\", alpha=\"0.15\", expect_size=\"24113152\"] \n  3 -> 5 [size =\"24113152\"]\n  4 [size=\"91479040\", alpha=\"0.08\", expect_size=\"36591616\"] \n  4 -> 5 [size =\"36591616\"]\n  5 [size=\"70320640\", alpha=\"0.13\", expect_size=\"28128256\"] \n  5 -> 6 [size =\"28128256\"]\n  5 -> 7 [size =\"28128256\"]\n  6 [size=\"13391360\", alpha=\"0.15\", expect_size=\"5356544\"] \n  6 -> 8 [size =\"5356544\"]\n  7 [size=\"58659840\", alpha=\"0.17\", expect_size=\"23463936\"] \n  8 [size=\"75878400\", alpha=\"0.01\", expect_size=\"30351360\"] \n  8 -> 9 [size =\"30351360\"]\n  8 -> 10 [size =\"30351360\"]\n  9 [size=\"75855360\", alpha=\"0.00\", expect_size=\"30342144\"] \n  9 -> 11 [size =\"30342144\"]\n  10 [size=\"104706560\", alpha=\"0.03\", expect_size=\"41882624\"] \n  10 -> 11 [size =\"41882624\"]\n  11 [size=\"59138560\", alpha=\"0.01\", expect_size=\"23655424\"] \n  11 -> 12 [size =\"23655424\"]\n  11 -> 13 [size =\"23655424\"]\n  12 [size=\"117662720\", alpha=\"0.11\", expect_size=\"47065088\"] \n  12 -> 14 [size =\"47065088\"]\n  13 [size=\"29959680\", alpha=\"0.15\", expect_size=\"11983872\"] \n  13 -> 14 [size =\"11983872\"]\n  14 [size=\"116044800\", alpha=\"0.01\", expect_size=\"46417920\"] \n  14 -> 15 [size =\"46417920\"]\n  15 [size=\"45286400\", alpha=\"0.15\", expect_size=\"18114560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97921024\", alpha=\"0.12\", expect_size=\"48960512\"] \n  1 -> 9 [size =\"48960512\"]\n  2 [size=\"10692608\", alpha=\"0.10\", expect_size=\"5346304\"] \n  2 -> 8 [size =\"5346304\"]\n  3 [size=\"50724864\", alpha=\"0.16\", expect_size=\"25362432\"] \n  3 -> 8 [size =\"25362432\"]\n  4 [size=\"33355776\", alpha=\"0.08\", expect_size=\"16677888\"] \n  4 -> 6 [size =\"16677888\"]\n  4 -> 7 [size =\"16677888\"]\n  5 [size=\"72005632\", alpha=\"0.10\", expect_size=\"36002816\"] \n  5 -> 9 [size =\"36002816\"]\n  6 [size=\"43864064\", alpha=\"0.08\", expect_size=\"21932032\"] \n  6 -> 12 [size =\"21932032\"]\n  6 -> 14 [size =\"21932032\"]\n  6 -> 15 [size =\"21932032\"]\n  7 [size=\"83116032\", alpha=\"0.12\", expect_size=\"41558016\"] \n  7 -> 10 [size =\"41558016\"]\n  7 -> 11 [size =\"41558016\"]\n  7 -> 15 [size =\"41558016\"]\n  8 [size=\"98004992\", alpha=\"0.03\", expect_size=\"49002496\"] \n  8 -> 15 [size =\"49002496\"]\n  9 [size=\"72947712\", alpha=\"0.10\", expect_size=\"36473856\"] \n  9 -> 13 [size =\"36473856\"]\n  10 [size=\"90441728\", alpha=\"0.14\", expect_size=\"45220864\"] \n  11 [size=\"63676416\", alpha=\"0.19\", expect_size=\"31838208\"] \n  12 [size=\"25681920\", alpha=\"0.10\", expect_size=\"12840960\"] \n  13 [size=\"72812544\", alpha=\"0.11\", expect_size=\"36406272\"] \n  14 [size=\"53112832\", alpha=\"0.13\", expect_size=\"26556416\"] \n  15 [size=\"88983552\", alpha=\"0.20\", expect_size=\"44491776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25886720\", alpha=\"0.12\", expect_size=\"10354688\"] \n  1 -> 3 [size =\"10354688\"]\n  1 -> 4 [size =\"10354688\"]\n  2 [size=\"83312640\", alpha=\"0.01\", expect_size=\"33325056\"] \n  3 [size=\"90652160\", alpha=\"0.01\", expect_size=\"36260864\"] \n  3 -> 5 [size =\"36260864\"]\n  3 -> 6 [size =\"36260864\"]\n  4 [size=\"97617920\", alpha=\"0.14\", expect_size=\"39047168\"] \n  5 [size=\"119895040\", alpha=\"0.07\", expect_size=\"47958016\"] \n  5 -> 7 [size =\"47958016\"]\n  5 -> 8 [size =\"47958016\"]\n  6 [size=\"84999680\", alpha=\"0.17\", expect_size=\"33999872\"] \n  7 [size=\"124579840\", alpha=\"0.01\", expect_size=\"49831936\"] \n  7 -> 10 [size =\"49831936\"]\n  8 [size=\"101527040\", alpha=\"0.01\", expect_size=\"40610816\"] \n  8 -> 9 [size =\"40610816\"]\n  9 [size=\"107276800\", alpha=\"0.07\", expect_size=\"42910720\"] \n  9 -> 11 [size =\"42910720\"]\n  10 [size=\"114360320\", alpha=\"0.08\", expect_size=\"45744128\"] \n  10 -> 12 [size =\"45744128\"]\n  11 [size=\"80888320\", alpha=\"0.10\", expect_size=\"32355328\"] \n  11 -> 14 [size =\"32355328\"]\n  12 [size=\"32071680\", alpha=\"0.12\", expect_size=\"12828672\"] \n  12 -> 13 [size =\"12828672\"]\n  12 -> 15 [size =\"12828672\"]\n  13 [size=\"36034560\", alpha=\"0.19\", expect_size=\"14413824\"] \n  14 [size=\"42836480\", alpha=\"0.10\", expect_size=\"17134592\"] \n  15 [size=\"128268800\", alpha=\"0.10\", expect_size=\"51307520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51564544\", alpha=\"0.05\", expect_size=\"25782272\"] \n  2 [size=\"89982976\", alpha=\"0.12\", expect_size=\"44991488\"] \n  2 -> 3 [size =\"44991488\"]\n  2 -> 4 [size =\"44991488\"]\n  3 [size=\"62470144\", alpha=\"0.15\", expect_size=\"31235072\"] \n  3 -> 5 [size =\"31235072\"]\n  4 [size=\"74506240\", alpha=\"0.00\", expect_size=\"37253120\"] \n  4 -> 5 [size =\"37253120\"]\n  5 [size=\"65263616\", alpha=\"0.18\", expect_size=\"32631808\"] \n  5 -> 6 [size =\"32631808\"]\n  6 [size=\"102195200\", alpha=\"0.09\", expect_size=\"51097600\"] \n  6 -> 7 [size =\"51097600\"]\n  7 [size=\"32372736\", alpha=\"0.04\", expect_size=\"16186368\"] \n  7 -> 8 [size =\"16186368\"]\n  8 [size=\"18446336\", alpha=\"0.08\", expect_size=\"9223168\"] \n  8 -> 9 [size =\"9223168\"]\n  9 [size=\"19095552\", alpha=\"0.17\", expect_size=\"9547776\"] \n  9 -> 10 [size =\"9547776\"]\n  9 -> 11 [size =\"9547776\"]\n  10 [size=\"85340160\", alpha=\"0.03\", expect_size=\"42670080\"] \n  10 -> 13 [size =\"42670080\"]\n  11 [size=\"96516096\", alpha=\"0.09\", expect_size=\"48258048\"] \n  11 -> 12 [size =\"48258048\"]\n  11 -> 13 [size =\"48258048\"]\n  12 [size=\"27267072\", alpha=\"0.19\", expect_size=\"13633536\"] \n  13 [size=\"82581504\", alpha=\"0.11\", expect_size=\"41290752\"] \n  13 -> 14 [size =\"41290752\"]\n  14 [size=\"57753600\", alpha=\"0.01\", expect_size=\"28876800\"] \n  14 -> 15 [size =\"28876800\"]\n  15 [size=\"60096512\", alpha=\"0.18\", expect_size=\"30048256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43031040\", alpha=\"0.07\", expect_size=\"17212416\"] \n  2 [size=\"50764800\", alpha=\"0.09\", expect_size=\"20305920\"] \n  2 -> 3 [size =\"20305920\"]\n  3 [size=\"21580800\", alpha=\"0.01\", expect_size=\"8632320\"] \n  3 -> 4 [size =\"8632320\"]\n  4 [size=\"50163200\", alpha=\"0.08\", expect_size=\"20065280\"] \n  4 -> 5 [size =\"20065280\"]\n  5 [size=\"49909760\", alpha=\"0.07\", expect_size=\"19963904\"] \n  5 -> 6 [size =\"19963904\"]\n  5 -> 7 [size =\"19963904\"]\n  6 [size=\"57753600\", alpha=\"0.12\", expect_size=\"23101440\"] \n  6 -> 8 [size =\"23101440\"]\n  7 [size=\"112691200\", alpha=\"0.12\", expect_size=\"45076480\"] \n  7 -> 9 [size =\"45076480\"]\n  8 [size=\"15418880\", alpha=\"0.19\", expect_size=\"6167552\"] \n  8 -> 10 [size =\"6167552\"]\n  9 [size=\"118174720\", alpha=\"0.02\", expect_size=\"47269888\"] \n  10 [size=\"34101760\", alpha=\"0.10\", expect_size=\"13640704\"] \n  10 -> 11 [size =\"13640704\"]\n  11 [size=\"49630720\", alpha=\"0.03\", expect_size=\"19852288\"] \n  11 -> 12 [size =\"19852288\"]\n  11 -> 13 [size =\"19852288\"]\n  12 [size=\"92426240\", alpha=\"0.01\", expect_size=\"36970496\"] \n  13 [size=\"26470400\", alpha=\"0.01\", expect_size=\"10588160\"] \n  13 -> 14 [size =\"10588160\"]\n  14 [size=\"32409600\", alpha=\"0.02\", expect_size=\"12963840\"] \n  14 -> 15 [size =\"12963840\"]\n  15 [size=\"81725440\", alpha=\"0.18\", expect_size=\"32690176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103237632\", alpha=\"0.17\", expect_size=\"51618816\"] \n  1 -> 12 [size =\"51618816\"]\n  2 [size=\"46813184\", alpha=\"0.19\", expect_size=\"23406592\"] \n  2 -> 12 [size =\"23406592\"]\n  3 [size=\"66854912\", alpha=\"0.12\", expect_size=\"33427456\"] \n  3 -> 9 [size =\"33427456\"]\n  3 -> 10 [size =\"33427456\"]\n  3 -> 12 [size =\"33427456\"]\n  4 [size=\"52494336\", alpha=\"0.06\", expect_size=\"26247168\"] \n  4 -> 7 [size =\"26247168\"]\n  4 -> 8 [size =\"26247168\"]\n  4 -> 10 [size =\"26247168\"]\n  5 [size=\"87859200\", alpha=\"0.12\", expect_size=\"43929600\"] \n  5 -> 11 [size =\"43929600\"]\n  6 [size=\"47198208\", alpha=\"0.19\", expect_size=\"23599104\"] \n  7 [size=\"75730944\", alpha=\"0.01\", expect_size=\"37865472\"] \n  7 -> 13 [size =\"37865472\"]\n  8 [size=\"81264640\", alpha=\"0.06\", expect_size=\"40632320\"] \n  8 -> 13 [size =\"40632320\"]\n  8 -> 14 [size =\"40632320\"]\n  9 [size=\"77416448\", alpha=\"0.20\", expect_size=\"38708224\"] \n  9 -> 13 [size =\"38708224\"]\n  9 -> 15 [size =\"38708224\"]\n  10 [size=\"34617344\", alpha=\"0.10\", expect_size=\"17308672\"] \n  10 -> 13 [size =\"17308672\"]\n  11 [size=\"47235072\", alpha=\"0.04\", expect_size=\"23617536\"] \n  11 -> 15 [size =\"23617536\"]\n  12 [size=\"33970176\", alpha=\"0.02\", expect_size=\"16985088\"] \n  13 [size=\"28125184\", alpha=\"0.05\", expect_size=\"14062592\"] \n  14 [size=\"82884608\", alpha=\"0.05\", expect_size=\"41442304\"] \n  15 [size=\"17358848\", alpha=\"0.01\", expect_size=\"8679424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48427008\", alpha=\"0.01\", expect_size=\"24213504\"] \n  1 -> 2 [size =\"24213504\"]\n  1 -> 3 [size =\"24213504\"]\n  2 [size=\"84727808\", alpha=\"0.03\", expect_size=\"42363904\"] \n  3 [size=\"22784000\", alpha=\"0.04\", expect_size=\"11392000\"] \n  3 -> 4 [size =\"11392000\"]\n  4 [size=\"20436992\", alpha=\"0.05\", expect_size=\"10218496\"] \n  4 -> 5 [size =\"10218496\"]\n  5 [size=\"85882880\", alpha=\"0.06\", expect_size=\"42941440\"] \n  5 -> 6 [size =\"42941440\"]\n  6 [size=\"31318016\", alpha=\"0.20\", expect_size=\"15659008\"] \n  6 -> 7 [size =\"15659008\"]\n  7 [size=\"20269056\", alpha=\"0.08\", expect_size=\"10134528\"] \n  7 -> 8 [size =\"10134528\"]\n  7 -> 9 [size =\"10134528\"]\n  8 [size=\"98490368\", alpha=\"0.11\", expect_size=\"49245184\"] \n  9 [size=\"14368768\", alpha=\"0.03\", expect_size=\"7184384\"] \n  9 -> 10 [size =\"7184384\"]\n  10 [size=\"58642432\", alpha=\"0.18\", expect_size=\"29321216\"] \n  10 -> 11 [size =\"29321216\"]\n  10 -> 12 [size =\"29321216\"]\n  11 [size=\"74838016\", alpha=\"0.03\", expect_size=\"37419008\"] \n  11 -> 13 [size =\"37419008\"]\n  12 [size=\"81676288\", alpha=\"0.18\", expect_size=\"40838144\"] \n  12 -> 14 [size =\"40838144\"]\n  13 [size=\"97763328\", alpha=\"0.03\", expect_size=\"48881664\"] \n  13 -> 15 [size =\"48881664\"]\n  14 [size=\"22407168\", alpha=\"0.19\", expect_size=\"11203584\"] \n  15 [size=\"44480512\", alpha=\"0.03\", expect_size=\"22240256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68485120\", alpha=\"0.13\", expect_size=\"20545536\"] \n  1 -> 4 [size =\"20545536\"]\n  1 -> 5 [size =\"20545536\"]\n  2 [size=\"163809280\", alpha=\"0.04\", expect_size=\"49142784\"] \n  2 -> 4 [size =\"49142784\"]\n  2 -> 5 [size =\"49142784\"]\n  2 -> 6 [size =\"49142784\"]\n  3 [size=\"24340480\", alpha=\"0.05\", expect_size=\"7302144\"] \n  3 -> 6 [size =\"7302144\"]\n  4 [size=\"119773867\", alpha=\"0.13\", expect_size=\"35932160\"] \n  5 [size=\"120101547\", alpha=\"0.15\", expect_size=\"36030464\"] \n  5 -> 7 [size =\"36030464\"]\n  5 -> 9 [size =\"36030464\"]\n  6 [size=\"79943680\", alpha=\"0.11\", expect_size=\"23983104\"] \n  6 -> 8 [size =\"23983104\"]\n  6 -> 9 [size =\"23983104\"]\n  7 [size=\"41888427\", alpha=\"0.03\", expect_size=\"12566528\"] \n  7 -> 10 [size =\"12566528\"]\n  7 -> 11 [size =\"12566528\"]\n  8 [size=\"170905600\", alpha=\"0.14\", expect_size=\"51271680\"] \n  8 -> 10 [size =\"51271680\"]\n  8 -> 11 [size =\"51271680\"]\n  9 [size=\"127726933\", alpha=\"0.07\", expect_size=\"38318080\"] \n  10 [size=\"102638933\", alpha=\"0.07\", expect_size=\"30791680\"] \n  10 -> 12 [size =\"30791680\"]\n  10 -> 13 [size =\"30791680\"]\n  10 -> 14 [size =\"30791680\"]\n  11 [size=\"61457067\", alpha=\"0.08\", expect_size=\"18437120\"] \n  11 -> 14 [size =\"18437120\"]\n  12 [size=\"164423680\", alpha=\"0.02\", expect_size=\"49327104\"] \n  12 -> 15 [size =\"49327104\"]\n  13 [size=\"41966933\", alpha=\"0.05\", expect_size=\"12590080\"] \n  14 [size=\"83568640\", alpha=\"0.06\", expect_size=\"25070592\"] \n  15 [size=\"28873387\", alpha=\"0.06\", expect_size=\"8662016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119326720\", alpha=\"0.04\", expect_size=\"47730688\"] \n  1 -> 9 [size =\"47730688\"]\n  1 -> 10 [size =\"47730688\"]\n  1 -> 12 [size =\"47730688\"]\n  1 -> 13 [size =\"47730688\"]\n  2 [size=\"77685760\", alpha=\"0.15\", expect_size=\"31074304\"] \n  2 -> 9 [size =\"31074304\"]\n  2 -> 11 [size =\"31074304\"]\n  2 -> 14 [size =\"31074304\"]\n  3 [size=\"84006400\", alpha=\"0.01\", expect_size=\"33602560\"] \n  3 -> 8 [size =\"33602560\"]\n  3 -> 9 [size =\"33602560\"]\n  3 -> 11 [size =\"33602560\"]\n  4 [size=\"113131520\", alpha=\"0.15\", expect_size=\"45252608\"] \n  4 -> 8 [size =\"45252608\"]\n  4 -> 11 [size =\"45252608\"]\n  5 [size=\"21570560\", alpha=\"0.14\", expect_size=\"8628224\"] \n  5 -> 8 [size =\"8628224\"]\n  5 -> 10 [size =\"8628224\"]\n  5 -> 11 [size =\"8628224\"]\n  5 -> 12 [size =\"8628224\"]\n  6 [size=\"76997120\", alpha=\"0.08\", expect_size=\"30798848\"] \n  6 -> 8 [size =\"30798848\"]\n  6 -> 10 [size =\"30798848\"]\n  6 -> 12 [size =\"30798848\"]\n  7 [size=\"14174720\", alpha=\"0.06\", expect_size=\"5669888\"] \n  7 -> 9 [size =\"5669888\"]\n  7 -> 10 [size =\"5669888\"]\n  7 -> 12 [size =\"5669888\"]\n  7 -> 13 [size =\"5669888\"]\n  8 [size=\"86092800\", alpha=\"0.11\", expect_size=\"34437120\"] \n  8 -> 15 [size =\"34437120\"]\n  9 [size=\"56977920\", alpha=\"0.07\", expect_size=\"22791168\"] \n  10 [size=\"64983040\", alpha=\"0.07\", expect_size=\"25993216\"] \n  11 [size=\"117757440\", alpha=\"0.14\", expect_size=\"47102976\"] \n  11 -> 15 [size =\"47102976\"]\n  12 [size=\"21237760\", alpha=\"0.16\", expect_size=\"8495104\"] \n  12 -> 15 [size =\"8495104\"]\n  13 [size=\"111841280\", alpha=\"0.11\", expect_size=\"44736512\"] \n  14 [size=\"117527040\", alpha=\"0.06\", expect_size=\"47010816\"] \n  15 [size=\"88194560\", alpha=\"0.04\", expect_size=\"35277824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32817152\", alpha=\"0.15\", expect_size=\"16408576\"] \n  2 [size=\"78934016\", alpha=\"0.03\", expect_size=\"39467008\"] \n  2 -> 4 [size =\"39467008\"]\n  2 -> 5 [size =\"39467008\"]\n  3 [size=\"46297088\", alpha=\"0.10\", expect_size=\"23148544\"] \n  3 -> 4 [size =\"23148544\"]\n  4 [size=\"81817600\", alpha=\"0.09\", expect_size=\"40908800\"] \n  4 -> 7 [size =\"40908800\"]\n  5 [size=\"73496576\", alpha=\"0.12\", expect_size=\"36748288\"] \n  5 -> 6 [size =\"36748288\"]\n  5 -> 8 [size =\"36748288\"]\n  6 [size=\"99684352\", alpha=\"0.12\", expect_size=\"49842176\"] \n  6 -> 10 [size =\"49842176\"]\n  7 [size=\"24750080\", alpha=\"0.05\", expect_size=\"12375040\"] \n  7 -> 9 [size =\"12375040\"]\n  8 [size=\"61466624\", alpha=\"0.03\", expect_size=\"30733312\"] \n  9 [size=\"20406272\", alpha=\"0.14\", expect_size=\"10203136\"] \n  10 [size=\"24199168\", alpha=\"0.17\", expect_size=\"12099584\"] \n  10 -> 11 [size =\"12099584\"]\n  10 -> 12 [size =\"12099584\"]\n  11 [size=\"96759808\", alpha=\"0.14\", expect_size=\"48379904\"] \n  11 -> 14 [size =\"48379904\"]\n  12 [size=\"75022336\", alpha=\"0.02\", expect_size=\"37511168\"] \n  12 -> 13 [size =\"37511168\"]\n  13 [size=\"89145344\", alpha=\"0.07\", expect_size=\"44572672\"] \n  14 [size=\"41007104\", alpha=\"0.11\", expect_size=\"20503552\"] \n  14 -> 15 [size =\"20503552\"]\n  15 [size=\"81283072\", alpha=\"0.01\", expect_size=\"40641536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71628800\", alpha=\"0.20\", expect_size=\"28651520\"] \n  1 -> 4 [size =\"28651520\"]\n  2 [size=\"124610560\", alpha=\"0.14\", expect_size=\"49844224\"] \n  3 [size=\"67348480\", alpha=\"0.05\", expect_size=\"26939392\"] \n  3 -> 5 [size =\"26939392\"]\n  4 [size=\"121433600\", alpha=\"0.05\", expect_size=\"48573440\"] \n  5 [size=\"110343680\", alpha=\"0.04\", expect_size=\"44137472\"] \n  5 -> 6 [size =\"44137472\"]\n  5 -> 7 [size =\"44137472\"]\n  5 -> 8 [size =\"44137472\"]\n  6 [size=\"41169920\", alpha=\"0.16\", expect_size=\"16467968\"] \n  7 [size=\"78164480\", alpha=\"0.08\", expect_size=\"31265792\"] \n  7 -> 9 [size =\"31265792\"]\n  7 -> 10 [size =\"31265792\"]\n  7 -> 11 [size =\"31265792\"]\n  8 [size=\"33305600\", alpha=\"0.13\", expect_size=\"13322240\"] \n  9 [size=\"122178560\", alpha=\"0.15\", expect_size=\"48871424\"] \n  9 -> 12 [size =\"48871424\"]\n  9 -> 13 [size =\"48871424\"]\n  10 [size=\"82296320\", alpha=\"0.17\", expect_size=\"32918528\"] \n  11 [size=\"31549440\", alpha=\"0.14\", expect_size=\"12619776\"] \n  12 [size=\"31037440\", alpha=\"0.19\", expect_size=\"12414976\"] \n  13 [size=\"113914880\", alpha=\"0.08\", expect_size=\"45565952\"] \n  13 -> 14 [size =\"45565952\"]\n  13 -> 15 [size =\"45565952\"]\n  14 [size=\"22589440\", alpha=\"0.11\", expect_size=\"9035776\"] \n  15 [size=\"52295680\", alpha=\"0.01\", expect_size=\"20918272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148049920\", alpha=\"0.09\", expect_size=\"44414976\"] \n  1 -> 8 [size =\"44414976\"]\n  1 -> 9 [size =\"44414976\"]\n  1 -> 10 [size =\"44414976\"]\n  1 -> 12 [size =\"44414976\"]\n  1 -> 13 [size =\"44414976\"]\n  1 -> 14 [size =\"44414976\"]\n  2 [size=\"45352960\", alpha=\"0.05\", expect_size=\"13605888\"] \n  2 -> 12 [size =\"13605888\"]\n  2 -> 13 [size =\"13605888\"]\n  3 [size=\"68232533\", alpha=\"0.14\", expect_size=\"20469760\"] \n  3 -> 12 [size =\"20469760\"]\n  4 [size=\"48100693\", alpha=\"0.11\", expect_size=\"14430208\"] \n  4 -> 8 [size =\"14430208\"]\n  4 -> 14 [size =\"14430208\"]\n  5 [size=\"168779093\", alpha=\"0.09\", expect_size=\"50633728\"] \n  5 -> 8 [size =\"50633728\"]\n  5 -> 14 [size =\"50633728\"]\n  6 [size=\"34676053\", alpha=\"0.16\", expect_size=\"10402816\"] \n  6 -> 8 [size =\"10402816\"]\n  6 -> 9 [size =\"10402816\"]\n  6 -> 11 [size =\"10402816\"]\n  6 -> 13 [size =\"10402816\"]\n  6 -> 14 [size =\"10402816\"]\n  7 [size=\"157542400\", alpha=\"0.05\", expect_size=\"47262720\"] \n  7 -> 8 [size =\"47262720\"]\n  7 -> 10 [size =\"47262720\"]\n  8 [size=\"128686080\", alpha=\"0.19\", expect_size=\"38605824\"] \n  8 -> 15 [size =\"38605824\"]\n  9 [size=\"94863360\", alpha=\"0.01\", expect_size=\"28459008\"] \n  9 -> 15 [size =\"28459008\"]\n  10 [size=\"58193920\", alpha=\"0.00\", expect_size=\"17458176\"] \n  11 [size=\"73806507\", alpha=\"0.18\", expect_size=\"22141952\"] \n  11 -> 15 [size =\"22141952\"]\n  12 [size=\"142138027\", alpha=\"0.05\", expect_size=\"42641408\"] \n  13 [size=\"22203733\", alpha=\"0.07\", expect_size=\"6661120\"] \n  13 -> 15 [size =\"6661120\"]\n  14 [size=\"135727787\", alpha=\"0.10\", expect_size=\"40718336\"] \n  14 -> 15 [size =\"40718336\"]\n  15 [size=\"64392533\", alpha=\"0.02\", expect_size=\"19317760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35123200\", alpha=\"0.00\", expect_size=\"10536960\"] \n  1 -> 3 [size =\"10536960\"]\n  1 -> 4 [size =\"10536960\"]\n  2 [size=\"58279253\", alpha=\"0.14\", expect_size=\"17483776\"] \n  2 -> 3 [size =\"17483776\"]\n  2 -> 4 [size =\"17483776\"]\n  3 [size=\"69976747\", alpha=\"0.06\", expect_size=\"20993024\"] \n  3 -> 5 [size =\"20993024\"]\n  4 [size=\"49896107\", alpha=\"0.07\", expect_size=\"14968832\"] \n  5 [size=\"149712213\", alpha=\"0.10\", expect_size=\"44913664\"] \n  5 -> 6 [size =\"44913664\"]\n  5 -> 7 [size =\"44913664\"]\n  6 [size=\"96723627\", alpha=\"0.06\", expect_size=\"29017088\"] \n  7 [size=\"104591360\", alpha=\"0.15\", expect_size=\"31377408\"] \n  7 -> 8 [size =\"31377408\"]\n  7 -> 9 [size =\"31377408\"]\n  8 [size=\"119159467\", alpha=\"0.14\", expect_size=\"35747840\"] \n  8 -> 10 [size =\"35747840\"]\n  9 [size=\"160846507\", alpha=\"0.13\", expect_size=\"48253952\"] \n  10 [size=\"162256213\", alpha=\"0.12\", expect_size=\"48676864\"] \n  10 -> 11 [size =\"48676864\"]\n  10 -> 12 [size =\"48676864\"]\n  11 [size=\"21285547\", alpha=\"0.17\", expect_size=\"6385664\"] \n  11 -> 13 [size =\"6385664\"]\n  11 -> 14 [size =\"6385664\"]\n  12 [size=\"24907093\", alpha=\"0.19\", expect_size=\"7472128\"] \n  12 -> 13 [size =\"7472128\"]\n  12 -> 14 [size =\"7472128\"]\n  13 [size=\"135830187\", alpha=\"0.19\", expect_size=\"40749056\"] \n  13 -> 15 [size =\"40749056\"]\n  14 [size=\"21968213\", alpha=\"0.05\", expect_size=\"6590464\"] \n  15 [size=\"74318507\", alpha=\"0.10\", expect_size=\"22295552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146220373\", alpha=\"0.19\", expect_size=\"43866112\"] \n  1 -> 7 [size =\"43866112\"]\n  1 -> 8 [size =\"43866112\"]\n  2 [size=\"19268267\", alpha=\"0.16\", expect_size=\"5780480\"] \n  3 [size=\"62733653\", alpha=\"0.11\", expect_size=\"18820096\"] \n  3 -> 6 [size =\"18820096\"]\n  3 -> 8 [size =\"18820096\"]\n  4 [size=\"48462507\", alpha=\"0.15\", expect_size=\"14538752\"] \n  4 -> 5 [size =\"14538752\"]\n  4 -> 6 [size =\"14538752\"]\n  4 -> 7 [size =\"14538752\"]\n  5 [size=\"151794347\", alpha=\"0.12\", expect_size=\"45538304\"] \n  5 -> 11 [size =\"45538304\"]\n  5 -> 12 [size =\"45538304\"]\n  5 -> 13 [size =\"45538304\"]\n  6 [size=\"119582720\", alpha=\"0.19\", expect_size=\"35874816\"] \n  6 -> 9 [size =\"35874816\"]\n  6 -> 11 [size =\"35874816\"]\n  7 [size=\"44980907\", alpha=\"0.19\", expect_size=\"13494272\"] \n  7 -> 10 [size =\"13494272\"]\n  7 -> 13 [size =\"13494272\"]\n  8 [size=\"24180053\", alpha=\"0.19\", expect_size=\"7254016\"] \n  8 -> 10 [size =\"7254016\"]\n  8 -> 12 [size =\"7254016\"]\n  9 [size=\"114114560\", alpha=\"0.18\", expect_size=\"34234368\"] \n  9 -> 14 [size =\"34234368\"]\n  10 [size=\"148572160\", alpha=\"0.05\", expect_size=\"44571648\"] \n  10 -> 14 [size =\"44571648\"]\n  11 [size=\"64501760\", alpha=\"0.04\", expect_size=\"19350528\"] \n  11 -> 15 [size =\"19350528\"]\n  12 [size=\"55159467\", alpha=\"0.19\", expect_size=\"16547840\"] \n  13 [size=\"21244587\", alpha=\"0.16\", expect_size=\"6373376\"] \n  13 -> 15 [size =\"6373376\"]\n  14 [size=\"110185813\", alpha=\"0.19\", expect_size=\"33055744\"] \n  15 [size=\"72000853\", alpha=\"0.15\", expect_size=\"21600256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55500800\", alpha=\"0.14\", expect_size=\"27750400\"] \n  1 -> 13 [size =\"27750400\"]\n  1 -> 13 [size =\"27750400\"]\n  2 [size=\"47642624\", alpha=\"0.02\", expect_size=\"23821312\"] \n  2 -> 11 [size =\"23821312\"]\n  3 [size=\"41377792\", alpha=\"0.16\", expect_size=\"20688896\"] \n  3 -> 11 [size =\"20688896\"]\n  3 -> 12 [size =\"20688896\"]\n  4 [size=\"26755072\", alpha=\"0.16\", expect_size=\"13377536\"] \n  4 -> 12 [size =\"13377536\"]\n  5 [size=\"26865664\", alpha=\"0.14\", expect_size=\"13432832\"] \n  5 -> 14 [size =\"13432832\"]\n  6 [size=\"42115072\", alpha=\"0.19\", expect_size=\"21057536\"] \n  6 -> 11 [size =\"21057536\"]\n  6 -> 12 [size =\"21057536\"]\n  6 -> 14 [size =\"21057536\"]\n  7 [size=\"69410816\", alpha=\"0.12\", expect_size=\"34705408\"] \n  7 -> 14 [size =\"34705408\"]\n  8 [size=\"10614784\", alpha=\"0.20\", expect_size=\"5307392\"] \n  9 [size=\"26077184\", alpha=\"0.16\", expect_size=\"13038592\"] \n  9 -> 12 [size =\"13038592\"]\n  9 -> 13 [size =\"13038592\"]\n  9 -> 14 [size =\"13038592\"]\n  10 [size=\"11075584\", alpha=\"0.05\", expect_size=\"5537792\"] \n  10 -> 12 [size =\"5537792\"]\n  10 -> 13 [size =\"5537792\"]\n  10 -> 15 [size =\"5537792\"]\n  11 [size=\"21751808\", alpha=\"0.07\", expect_size=\"10875904\"] \n  12 [size=\"86536192\", alpha=\"0.10\", expect_size=\"43268096\"] \n  13 [size=\"96090112\", alpha=\"0.09\", expect_size=\"48045056\"] \n  14 [size=\"77813760\", alpha=\"0.16\", expect_size=\"38906880\"] \n  15 [size=\"58943488\", alpha=\"0.10\", expect_size=\"29471744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81945600\", alpha=\"0.11\", expect_size=\"32778240\"] \n  1 -> 10 [size =\"32778240\"]\n  1 -> 12 [size =\"32778240\"]\n  1 -> 15 [size =\"32778240\"]\n  2 [size=\"52861440\", alpha=\"0.14\", expect_size=\"21144576\"] \n  2 -> 9 [size =\"21144576\"]\n  2 -> 10 [size =\"21144576\"]\n  2 -> 11 [size =\"21144576\"]\n  2 -> 12 [size =\"21144576\"]\n  2 -> 13 [size =\"21144576\"]\n  2 -> 15 [size =\"21144576\"]\n  3 [size=\"65057280\", alpha=\"0.07\", expect_size=\"26022912\"] \n  3 -> 10 [size =\"26022912\"]\n  3 -> 11 [size =\"26022912\"]\n  3 -> 13 [size =\"26022912\"]\n  3 -> 15 [size =\"26022912\"]\n  4 [size=\"130931200\", alpha=\"0.08\", expect_size=\"52372480\"] \n  4 -> 9 [size =\"52372480\"]\n  4 -> 12 [size =\"52372480\"]\n  4 -> 13 [size =\"52372480\"]\n  5 [size=\"90977280\", alpha=\"0.02\", expect_size=\"36390912\"] \n  5 -> 10 [size =\"36390912\"]\n  5 -> 12 [size =\"36390912\"]\n  5 -> 13 [size =\"36390912\"]\n  5 -> 14 [size =\"36390912\"]\n  5 -> 15 [size =\"36390912\"]\n  6 [size=\"56504320\", alpha=\"0.06\", expect_size=\"22601728\"] \n  6 -> 13 [size =\"22601728\"]\n  6 -> 15 [size =\"22601728\"]\n  7 [size=\"104453120\", alpha=\"0.10\", expect_size=\"41781248\"] \n  7 -> 10 [size =\"41781248\"]\n  7 -> 13 [size =\"41781248\"]\n  7 -> 15 [size =\"41781248\"]\n  8 [size=\"101596160\", alpha=\"0.19\", expect_size=\"40638464\"] \n  8 -> 10 [size =\"40638464\"]\n  8 -> 12 [size =\"40638464\"]\n  8 -> 15 [size =\"40638464\"]\n  9 [size=\"24051200\", alpha=\"0.20\", expect_size=\"9620480\"] \n  10 [size=\"89054720\", alpha=\"0.03\", expect_size=\"35621888\"] \n  11 [size=\"23168000\", alpha=\"0.18\", expect_size=\"9267200\"] \n  12 [size=\"88888320\", alpha=\"0.06\", expect_size=\"35555328\"] \n  13 [size=\"52833280\", alpha=\"0.08\", expect_size=\"21133312\"] \n  14 [size=\"91627520\", alpha=\"0.01\", expect_size=\"36651008\"] \n  15 [size=\"21770240\", alpha=\"0.13\", expect_size=\"8708096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84856320\", alpha=\"0.11\", expect_size=\"33942528\"] \n  1 -> 4 [size =\"33942528\"]\n  2 [size=\"106798080\", alpha=\"0.16\", expect_size=\"42719232\"] \n  2 -> 4 [size =\"42719232\"]\n  2 -> 6 [size =\"42719232\"]\n  3 [size=\"69214720\", alpha=\"0.13\", expect_size=\"27685888\"] \n  3 -> 4 [size =\"27685888\"]\n  3 -> 5 [size =\"27685888\"]\n  3 -> 6 [size =\"27685888\"]\n  4 [size=\"15219200\", alpha=\"0.18\", expect_size=\"6087680\"] \n  4 -> 8 [size =\"6087680\"]\n  4 -> 9 [size =\"6087680\"]\n  5 [size=\"102848000\", alpha=\"0.08\", expect_size=\"41139200\"] \n  5 -> 7 [size =\"41139200\"]\n  5 -> 9 [size =\"41139200\"]\n  6 [size=\"105768960\", alpha=\"0.10\", expect_size=\"42307584\"] \n  6 -> 7 [size =\"42307584\"]\n  6 -> 9 [size =\"42307584\"]\n  7 [size=\"113838080\", alpha=\"0.00\", expect_size=\"45535232\"] \n  7 -> 10 [size =\"45535232\"]\n  7 -> 11 [size =\"45535232\"]\n  8 [size=\"28892160\", alpha=\"0.15\", expect_size=\"11556864\"] \n  8 -> 10 [size =\"11556864\"]\n  8 -> 11 [size =\"11556864\"]\n  9 [size=\"83133440\", alpha=\"0.11\", expect_size=\"33253376\"] \n  9 -> 10 [size =\"33253376\"]\n  9 -> 11 [size =\"33253376\"]\n  10 [size=\"46497280\", alpha=\"0.09\", expect_size=\"18598912\"] \n  10 -> 12 [size =\"18598912\"]\n  10 -> 13 [size =\"18598912\"]\n  10 -> 14 [size =\"18598912\"]\n  11 [size=\"79441920\", alpha=\"0.05\", expect_size=\"31776768\"] \n  11 -> 12 [size =\"31776768\"]\n  11 -> 13 [size =\"31776768\"]\n  11 -> 14 [size =\"31776768\"]\n  12 [size=\"26595840\", alpha=\"0.02\", expect_size=\"10638336\"] \n  13 [size=\"123712000\", alpha=\"0.12\", expect_size=\"49484800\"] \n  13 -> 15 [size =\"49484800\"]\n  14 [size=\"81712640\", alpha=\"0.01\", expect_size=\"32685056\"] \n  14 -> 15 [size =\"32685056\"]\n  15 [size=\"69568000\", alpha=\"0.04\", expect_size=\"27827200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59494400\", alpha=\"0.14\", expect_size=\"29747200\"] \n  1 -> 6 [size =\"29747200\"]\n  1 -> 10 [size =\"29747200\"]\n  2 [size=\"40716288\", alpha=\"0.13\", expect_size=\"20358144\"] \n  2 -> 6 [size =\"20358144\"]\n  2 -> 7 [size =\"20358144\"]\n  2 -> 10 [size =\"20358144\"]\n  3 [size=\"100300800\", alpha=\"0.13\", expect_size=\"50150400\"] \n  3 -> 8 [size =\"50150400\"]\n  3 -> 9 [size =\"50150400\"]\n  4 [size=\"82593792\", alpha=\"0.12\", expect_size=\"41296896\"] \n  5 [size=\"97333248\", alpha=\"0.08\", expect_size=\"48666624\"] \n  6 [size=\"69666816\", alpha=\"0.01\", expect_size=\"34833408\"] \n  6 -> 11 [size =\"34833408\"]\n  6 -> 12 [size =\"34833408\"]\n  6 -> 13 [size =\"34833408\"]\n  6 -> 14 [size =\"34833408\"]\n  6 -> 15 [size =\"34833408\"]\n  7 [size=\"92598272\", alpha=\"0.04\", expect_size=\"46299136\"] \n  7 -> 13 [size =\"46299136\"]\n  8 [size=\"84535296\", alpha=\"0.18\", expect_size=\"42267648\"] \n  8 -> 11 [size =\"42267648\"]\n  9 [size=\"104003584\", alpha=\"0.17\", expect_size=\"52001792\"] \n  9 -> 12 [size =\"52001792\"]\n  9 -> 14 [size =\"52001792\"]\n  9 -> 15 [size =\"52001792\"]\n  10 [size=\"37410816\", alpha=\"0.19\", expect_size=\"18705408\"] \n  10 -> 11 [size =\"18705408\"]\n  10 -> 15 [size =\"18705408\"]\n  11 [size=\"17305600\", alpha=\"0.05\", expect_size=\"8652800\"] \n  12 [size=\"84469760\", alpha=\"0.02\", expect_size=\"42234880\"] \n  13 [size=\"51636224\", alpha=\"0.09\", expect_size=\"25818112\"] \n  14 [size=\"17104896\", alpha=\"0.01\", expect_size=\"8552448\"] \n  15 [size=\"74840064\", alpha=\"0.17\", expect_size=\"37420032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38586880\", alpha=\"0.17\", expect_size=\"15434752\"] \n  1 -> 3 [size =\"15434752\"]\n  2 [size=\"33310720\", alpha=\"0.01\", expect_size=\"13324288\"] \n  3 [size=\"103797760\", alpha=\"0.10\", expect_size=\"41519104\"] \n  3 -> 4 [size =\"41519104\"]\n  4 [size=\"37196800\", alpha=\"0.15\", expect_size=\"14878720\"] \n  4 -> 5 [size =\"14878720\"]\n  5 [size=\"111823360\", alpha=\"0.08\", expect_size=\"44729344\"] \n  5 -> 6 [size =\"44729344\"]\n  6 [size=\"76892160\", alpha=\"0.01\", expect_size=\"30756864\"] \n  6 -> 7 [size =\"30756864\"]\n  7 [size=\"53591040\", alpha=\"0.09\", expect_size=\"21436416\"] \n  7 -> 8 [size =\"21436416\"]\n  7 -> 9 [size =\"21436416\"]\n  8 [size=\"73198080\", alpha=\"0.12\", expect_size=\"29279232\"] \n  8 -> 10 [size =\"29279232\"]\n  9 [size=\"20172800\", alpha=\"0.18\", expect_size=\"8069120\"] \n  9 -> 10 [size =\"8069120\"]\n  10 [size=\"35619840\", alpha=\"0.07\", expect_size=\"14247936\"] \n  10 -> 11 [size =\"14247936\"]\n  11 [size=\"103889920\", alpha=\"0.10\", expect_size=\"41555968\"] \n  11 -> 12 [size =\"41555968\"]\n  12 [size=\"86686720\", alpha=\"0.19\", expect_size=\"34674688\"] \n  12 -> 13 [size =\"34674688\"]\n  13 [size=\"90391040\", alpha=\"0.03\", expect_size=\"36156416\"] \n  13 -> 14 [size =\"36156416\"]\n  14 [size=\"31447040\", alpha=\"0.02\", expect_size=\"12578816\"] \n  14 -> 15 [size =\"12578816\"]\n  15 [size=\"122314240\", alpha=\"0.19\", expect_size=\"48925696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46673920\", alpha=\"0.06\", expect_size=\"18669568\"] \n  1 -> 2 [size =\"18669568\"]\n  2 [size=\"81689600\", alpha=\"0.10\", expect_size=\"32675840\"] \n  2 -> 3 [size =\"32675840\"]\n  2 -> 4 [size =\"32675840\"]\n  3 [size=\"127278080\", alpha=\"0.01\", expect_size=\"50911232\"] \n  3 -> 5 [size =\"50911232\"]\n  4 [size=\"111697920\", alpha=\"0.12\", expect_size=\"44679168\"] \n  4 -> 5 [size =\"44679168\"]\n  5 [size=\"95395840\", alpha=\"0.15\", expect_size=\"38158336\"] \n  5 -> 6 [size =\"38158336\"]\n  6 [size=\"100917760\", alpha=\"0.14\", expect_size=\"40367104\"] \n  6 -> 7 [size =\"40367104\"]\n  7 [size=\"86464000\", alpha=\"0.14\", expect_size=\"34585600\"] \n  7 -> 8 [size =\"34585600\"]\n  8 [size=\"114603520\", alpha=\"0.00\", expect_size=\"45841408\"] \n  8 -> 9 [size =\"45841408\"]\n  8 -> 10 [size =\"45841408\"]\n  9 [size=\"116989440\", alpha=\"0.05\", expect_size=\"46795776\"] \n  9 -> 11 [size =\"46795776\"]\n  10 [size=\"63134720\", alpha=\"0.01\", expect_size=\"25253888\"] \n  10 -> 11 [size =\"25253888\"]\n  10 -> 12 [size =\"25253888\"]\n  11 [size=\"50311680\", alpha=\"0.09\", expect_size=\"20124672\"] \n  11 -> 13 [size =\"20124672\"]\n  11 -> 14 [size =\"20124672\"]\n  12 [size=\"86417920\", alpha=\"0.04\", expect_size=\"34567168\"] \n  12 -> 13 [size =\"34567168\"]\n  13 [size=\"29621760\", alpha=\"0.12\", expect_size=\"11848704\"] \n  13 -> 15 [size =\"11848704\"]\n  14 [size=\"38302720\", alpha=\"0.04\", expect_size=\"15321088\"] \n  14 -> 15 [size =\"15321088\"]\n  15 [size=\"107609600\", alpha=\"0.08\", expect_size=\"43043840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70348800\", alpha=\"0.19\", expect_size=\"35174400\"] \n  1 -> 3 [size =\"35174400\"]\n  2 [size=\"96509952\", alpha=\"0.14\", expect_size=\"48254976\"] \n  2 -> 3 [size =\"48254976\"]\n  3 [size=\"49328128\", alpha=\"0.14\", expect_size=\"24664064\"] \n  3 -> 4 [size =\"24664064\"]\n  4 [size=\"46782464\", alpha=\"0.06\", expect_size=\"23391232\"] \n  4 -> 5 [size =\"23391232\"]\n  4 -> 6 [size =\"23391232\"]\n  4 -> 7 [size =\"23391232\"]\n  4 -> 8 [size =\"23391232\"]\n  5 [size=\"95543296\", alpha=\"0.14\", expect_size=\"47771648\"] \n  6 [size=\"104728576\", alpha=\"0.14\", expect_size=\"52364288\"] \n  6 -> 9 [size =\"52364288\"]\n  6 -> 10 [size =\"52364288\"]\n  7 [size=\"32659456\", alpha=\"0.04\", expect_size=\"16329728\"] \n  8 [size=\"94396416\", alpha=\"0.20\", expect_size=\"47198208\"] \n  9 [size=\"22005760\", alpha=\"0.02\", expect_size=\"11002880\"] \n  9 -> 11 [size =\"11002880\"]\n  9 -> 12 [size =\"11002880\"]\n  9 -> 13 [size =\"11002880\"]\n  10 [size=\"16629760\", alpha=\"0.13\", expect_size=\"8314880\"] \n  10 -> 12 [size =\"8314880\"]\n  10 -> 13 [size =\"8314880\"]\n  11 [size=\"62906368\", alpha=\"0.13\", expect_size=\"31453184\"] \n  11 -> 14 [size =\"31453184\"]\n  11 -> 15 [size =\"31453184\"]\n  12 [size=\"59566080\", alpha=\"0.05\", expect_size=\"29783040\"] \n  13 [size=\"29173760\", alpha=\"0.06\", expect_size=\"14586880\"] \n  13 -> 14 [size =\"14586880\"]\n  13 -> 15 [size =\"14586880\"]\n  14 [size=\"93857792\", alpha=\"0.16\", expect_size=\"46928896\"] \n  15 [size=\"27375616\", alpha=\"0.16\", expect_size=\"13687808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51077120\", alpha=\"0.12\", expect_size=\"15323136\"] \n  2 [size=\"38751573\", alpha=\"0.09\", expect_size=\"11625472\"] \n  3 [size=\"93289813\", alpha=\"0.11\", expect_size=\"27986944\"] \n  3 -> 4 [size =\"27986944\"]\n  3 -> 5 [size =\"27986944\"]\n  4 [size=\"112841387\", alpha=\"0.11\", expect_size=\"33852416\"] \n  4 -> 6 [size =\"33852416\"]\n  4 -> 8 [size =\"33852416\"]\n  5 [size=\"125054293\", alpha=\"0.13\", expect_size=\"37516288\"] \n  5 -> 6 [size =\"37516288\"]\n  5 -> 7 [size =\"37516288\"]\n  5 -> 8 [size =\"37516288\"]\n  6 [size=\"146056533\", alpha=\"0.14\", expect_size=\"43816960\"] \n  6 -> 10 [size =\"43816960\"]\n  7 [size=\"117790720\", alpha=\"0.12\", expect_size=\"35337216\"] \n  8 [size=\"29197653\", alpha=\"0.08\", expect_size=\"8759296\"] \n  8 -> 9 [size =\"8759296\"]\n  9 [size=\"54712320\", alpha=\"0.16\", expect_size=\"16413696\"] \n  9 -> 12 [size =\"16413696\"]\n  9 -> 13 [size =\"16413696\"]\n  10 [size=\"166734507\", alpha=\"0.11\", expect_size=\"50020352\"] \n  10 -> 11 [size =\"50020352\"]\n  10 -> 12 [size =\"50020352\"]\n  10 -> 13 [size =\"50020352\"]\n  11 [size=\"85432320\", alpha=\"0.16\", expect_size=\"25629696\"] \n  12 [size=\"22787413\", alpha=\"0.14\", expect_size=\"6836224\"] \n  12 -> 14 [size =\"6836224\"]\n  13 [size=\"91378347\", alpha=\"0.15\", expect_size=\"27413504\"] \n  13 -> 14 [size =\"27413504\"]\n  13 -> 15 [size =\"27413504\"]\n  14 [size=\"21022720\", alpha=\"0.20\", expect_size=\"6306816\"] \n  15 [size=\"104543573\", alpha=\"0.14\", expect_size=\"31363072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54841344\", alpha=\"0.17\", expect_size=\"27420672\"] \n  1 -> 6 [size =\"27420672\"]\n  1 -> 7 [size =\"27420672\"]\n  1 -> 9 [size =\"27420672\"]\n  1 -> 10 [size =\"27420672\"]\n  1 -> 11 [size =\"27420672\"]\n  2 [size=\"48113664\", alpha=\"0.07\", expect_size=\"24056832\"] \n  2 -> 6 [size =\"24056832\"]\n  2 -> 7 [size =\"24056832\"]\n  2 -> 9 [size =\"24056832\"]\n  2 -> 11 [size =\"24056832\"]\n  2 -> 13 [size =\"24056832\"]\n  3 [size=\"56848384\", alpha=\"0.01\", expect_size=\"28424192\"] \n  3 -> 6 [size =\"28424192\"]\n  3 -> 7 [size =\"28424192\"]\n  3 -> 8 [size =\"28424192\"]\n  3 -> 10 [size =\"28424192\"]\n  3 -> 11 [size =\"28424192\"]\n  4 [size=\"57321472\", alpha=\"0.01\", expect_size=\"28660736\"] \n  4 -> 6 [size =\"28660736\"]\n  4 -> 7 [size =\"28660736\"]\n  4 -> 11 [size =\"28660736\"]\n  4 -> 13 [size =\"28660736\"]\n  5 [size=\"93517824\", alpha=\"0.09\", expect_size=\"46758912\"] \n  5 -> 6 [size =\"46758912\"]\n  5 -> 7 [size =\"46758912\"]\n  5 -> 9 [size =\"46758912\"]\n  5 -> 10 [size =\"46758912\"]\n  5 -> 11 [size =\"46758912\"]\n  5 -> 12 [size =\"46758912\"]\n  6 [size=\"57108480\", alpha=\"0.09\", expect_size=\"28554240\"] \n  7 [size=\"104550400\", alpha=\"0.10\", expect_size=\"52275200\"] \n  7 -> 14 [size =\"52275200\"]\n  8 [size=\"25907200\", alpha=\"0.07\", expect_size=\"12953600\"] \n  8 -> 14 [size =\"12953600\"]\n  8 -> 15 [size =\"12953600\"]\n  9 [size=\"46290944\", alpha=\"0.03\", expect_size=\"23145472\"] \n  10 [size=\"103567360\", alpha=\"0.09\", expect_size=\"51783680\"] \n  11 [size=\"75573248\", alpha=\"0.14\", expect_size=\"37786624\"] \n  11 -> 14 [size =\"37786624\"]\n  12 [size=\"63744000\", alpha=\"0.13\", expect_size=\"31872000\"] \n  13 [size=\"96471040\", alpha=\"0.06\", expect_size=\"48235520\"] \n  14 [size=\"100591616\", alpha=\"0.00\", expect_size=\"50295808\"] \n  15 [size=\"103188480\", alpha=\"0.00\", expect_size=\"51594240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40904704\", alpha=\"0.13\", expect_size=\"20452352\"] \n  1 -> 12 [size =\"20452352\"]\n  1 -> 13 [size =\"20452352\"]\n  2 [size=\"51101696\", alpha=\"0.06\", expect_size=\"25550848\"] \n  2 -> 12 [size =\"25550848\"]\n  2 -> 14 [size =\"25550848\"]\n  2 -> 15 [size =\"25550848\"]\n  3 [size=\"78364672\", alpha=\"0.19\", expect_size=\"39182336\"] \n  3 -> 12 [size =\"39182336\"]\n  3 -> 13 [size =\"39182336\"]\n  3 -> 14 [size =\"39182336\"]\n  4 [size=\"82921472\", alpha=\"0.03\", expect_size=\"41460736\"] \n  4 -> 12 [size =\"41460736\"]\n  4 -> 14 [size =\"41460736\"]\n  4 -> 14 [size =\"41460736\"]\n  4 -> 15 [size =\"41460736\"]\n  5 [size=\"61908992\", alpha=\"0.03\", expect_size=\"30954496\"] \n  5 -> 12 [size =\"30954496\"]\n  5 -> 14 [size =\"30954496\"]\n  5 -> 15 [size =\"30954496\"]\n  6 [size=\"64282624\", alpha=\"0.11\", expect_size=\"32141312\"] \n  6 -> 14 [size =\"32141312\"]\n  6 -> 15 [size =\"32141312\"]\n  7 [size=\"85026816\", alpha=\"0.07\", expect_size=\"42513408\"] \n  7 -> 13 [size =\"42513408\"]\n  7 -> 14 [size =\"42513408\"]\n  7 -> 15 [size =\"42513408\"]\n  8 [size=\"52787200\", alpha=\"0.14\", expect_size=\"26393600\"] \n  8 -> 12 [size =\"26393600\"]\n  8 -> 15 [size =\"26393600\"]\n  9 [size=\"60676096\", alpha=\"0.16\", expect_size=\"30338048\"] \n  9 -> 12 [size =\"30338048\"]\n  9 -> 13 [size =\"30338048\"]\n  9 -> 14 [size =\"30338048\"]\n  9 -> 15 [size =\"30338048\"]\n  10 [size=\"14231552\", alpha=\"0.09\", expect_size=\"7115776\"] \n  10 -> 13 [size =\"7115776\"]\n  11 [size=\"35389440\", alpha=\"0.04\", expect_size=\"17694720\"] \n  11 -> 13 [size =\"17694720\"]\n  11 -> 15 [size =\"17694720\"]\n  12 [size=\"95141888\", alpha=\"0.03\", expect_size=\"47570944\"] \n  13 [size=\"31373312\", alpha=\"0.09\", expect_size=\"15686656\"] \n  14 [size=\"27699200\", alpha=\"0.15\", expect_size=\"13849600\"] \n  15 [size=\"40202240\", alpha=\"0.16\", expect_size=\"20101120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92467200\", alpha=\"0.17\", expect_size=\"46233600\"] \n  1 -> 8 [size =\"46233600\"]\n  1 -> 10 [size =\"46233600\"]\n  2 [size=\"72982528\", alpha=\"0.07\", expect_size=\"36491264\"] \n  2 -> 9 [size =\"36491264\"]\n  3 [size=\"55719936\", alpha=\"0.02\", expect_size=\"27859968\"] \n  3 -> 6 [size =\"27859968\"]\n  3 -> 7 [size =\"27859968\"]\n  3 -> 10 [size =\"27859968\"]\n  4 [size=\"19320832\", alpha=\"0.01\", expect_size=\"9660416\"] \n  4 -> 7 [size =\"9660416\"]\n  5 [size=\"100372480\", alpha=\"0.12\", expect_size=\"50186240\"] \n  5 -> 6 [size =\"50186240\"]\n  6 [size=\"54470656\", alpha=\"0.09\", expect_size=\"27235328\"] \n  6 -> 14 [size =\"27235328\"]\n  6 -> 15 [size =\"27235328\"]\n  7 [size=\"61972480\", alpha=\"0.14\", expect_size=\"30986240\"] \n  7 -> 11 [size =\"30986240\"]\n  7 -> 12 [size =\"30986240\"]\n  8 [size=\"64239616\", alpha=\"0.19\", expect_size=\"32119808\"] \n  8 -> 11 [size =\"32119808\"]\n  8 -> 13 [size =\"32119808\"]\n  9 [size=\"92837888\", alpha=\"0.13\", expect_size=\"46418944\"] \n  9 -> 12 [size =\"46418944\"]\n  10 [size=\"78446592\", alpha=\"0.14\", expect_size=\"39223296\"] \n  10 -> 15 [size =\"39223296\"]\n  11 [size=\"71514112\", alpha=\"0.14\", expect_size=\"35757056\"] \n  12 [size=\"59334656\", alpha=\"0.13\", expect_size=\"29667328\"] \n  13 [size=\"90400768\", alpha=\"0.12\", expect_size=\"45200384\"] \n  14 [size=\"98928640\", alpha=\"0.07\", expect_size=\"49464320\"] \n  15 [size=\"101500928\", alpha=\"0.07\", expect_size=\"50750464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18394453\", alpha=\"0.13\", expect_size=\"5518336\"] \n  2 [size=\"96201387\", alpha=\"0.18\", expect_size=\"28860416\"] \n  2 -> 3 [size =\"28860416\"]\n  2 -> 4 [size =\"28860416\"]\n  3 [size=\"149797547\", alpha=\"0.07\", expect_size=\"44939264\"] \n  3 -> 5 [size =\"44939264\"]\n  3 -> 7 [size =\"44939264\"]\n  4 [size=\"152036693\", alpha=\"0.07\", expect_size=\"45611008\"] \n  4 -> 5 [size =\"45611008\"]\n  4 -> 6 [size =\"45611008\"]\n  5 [size=\"130252800\", alpha=\"0.13\", expect_size=\"39075840\"] \n  5 -> 8 [size =\"39075840\"]\n  5 -> 9 [size =\"39075840\"]\n  6 [size=\"40352427\", alpha=\"0.11\", expect_size=\"12105728\"] \n  6 -> 9 [size =\"12105728\"]\n  7 [size=\"32795307\", alpha=\"0.15\", expect_size=\"9838592\"] \n  8 [size=\"121514667\", alpha=\"0.09\", expect_size=\"36454400\"] \n  8 -> 10 [size =\"36454400\"]\n  8 -> 11 [size =\"36454400\"]\n  9 [size=\"137922560\", alpha=\"0.20\", expect_size=\"41376768\"] \n  10 [size=\"139315200\", alpha=\"0.16\", expect_size=\"41794560\"] \n  10 -> 14 [size =\"41794560\"]\n  11 [size=\"42444800\", alpha=\"0.15\", expect_size=\"12733440\"] \n  11 -> 12 [size =\"12733440\"]\n  11 -> 13 [size =\"12733440\"]\n  12 [size=\"144424960\", alpha=\"0.13\", expect_size=\"43327488\"] \n  12 -> 15 [size =\"43327488\"]\n  13 [size=\"128037547\", alpha=\"0.03\", expect_size=\"38411264\"] \n  14 [size=\"29125973\", alpha=\"0.16\", expect_size=\"8737792\"] \n  15 [size=\"84456107\", alpha=\"0.07\", expect_size=\"25336832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28730880\", alpha=\"0.15\", expect_size=\"11492352\"] \n  1 -> 10 [size =\"11492352\"]\n  2 [size=\"42424320\", alpha=\"0.12\", expect_size=\"16969728\"] \n  2 -> 10 [size =\"16969728\"]\n  3 [size=\"18332160\", alpha=\"0.10\", expect_size=\"7332864\"] \n  3 -> 12 [size =\"7332864\"]\n  3 -> 13 [size =\"7332864\"]\n  3 -> 14 [size =\"7332864\"]\n  4 [size=\"40202240\", alpha=\"0.09\", expect_size=\"16080896\"] \n  4 -> 13 [size =\"16080896\"]\n  5 [size=\"129157120\", alpha=\"0.04\", expect_size=\"51662848\"] \n  6 [size=\"88980480\", alpha=\"0.01\", expect_size=\"35592192\"] \n  6 -> 15 [size =\"35592192\"]\n  7 [size=\"96814080\", alpha=\"0.01\", expect_size=\"38725632\"] \n  8 [size=\"90757120\", alpha=\"0.01\", expect_size=\"36302848\"] \n  8 -> 10 [size =\"36302848\"]\n  8 -> 11 [size =\"36302848\"]\n  9 [size=\"45084160\", alpha=\"0.07\", expect_size=\"18033664\"] \n  9 -> 11 [size =\"18033664\"]\n  9 -> 12 [size =\"18033664\"]\n  9 -> 13 [size =\"18033664\"]\n  10 [size=\"119311360\", alpha=\"0.13\", expect_size=\"47724544\"] \n  11 [size=\"83816960\", alpha=\"0.16\", expect_size=\"33526784\"] \n  12 [size=\"52344320\", alpha=\"0.08\", expect_size=\"20937728\"] \n  13 [size=\"121899520\", alpha=\"0.14\", expect_size=\"48759808\"] \n  14 [size=\"64360960\", alpha=\"0.18\", expect_size=\"25744384\"] \n  15 [size=\"115852800\", alpha=\"0.04\", expect_size=\"46341120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174103893\", alpha=\"0.09\", expect_size=\"52231168\"] \n  1 -> 2 [size =\"52231168\"]\n  1 -> 3 [size =\"52231168\"]\n  2 [size=\"49506987\", alpha=\"0.04\", expect_size=\"14852096\"] \n  2 -> 5 [size =\"14852096\"]\n  3 [size=\"114650453\", alpha=\"0.07\", expect_size=\"34395136\"] \n  3 -> 4 [size =\"34395136\"]\n  3 -> 5 [size =\"34395136\"]\n  4 [size=\"74448213\", alpha=\"0.08\", expect_size=\"22334464\"] \n  5 [size=\"164850347\", alpha=\"0.04\", expect_size=\"49455104\"] \n  5 -> 6 [size =\"49455104\"]\n  6 [size=\"22760107\", alpha=\"0.11\", expect_size=\"6828032\"] \n  6 -> 7 [size =\"6828032\"]\n  7 [size=\"80694613\", alpha=\"0.01\", expect_size=\"24208384\"] \n  7 -> 8 [size =\"24208384\"]\n  8 [size=\"39714133\", alpha=\"0.03\", expect_size=\"11914240\"] \n  8 -> 9 [size =\"11914240\"]\n  9 [size=\"69956267\", alpha=\"0.07\", expect_size=\"20986880\"] \n  9 -> 10 [size =\"20986880\"]\n  10 [size=\"94784853\", alpha=\"0.18\", expect_size=\"28435456\"] \n  10 -> 11 [size =\"28435456\"]\n  11 [size=\"103686827\", alpha=\"0.08\", expect_size=\"31106048\"] \n  11 -> 12 [size =\"31106048\"]\n  12 [size=\"20432213\", alpha=\"0.10\", expect_size=\"6129664\"] \n  12 -> 13 [size =\"6129664\"]\n  12 -> 14 [size =\"6129664\"]\n  13 [size=\"48124587\", alpha=\"0.07\", expect_size=\"14437376\"] \n  14 [size=\"104649387\", alpha=\"0.16\", expect_size=\"31394816\"] \n  14 -> 15 [size =\"31394816\"]\n  15 [size=\"168557227\", alpha=\"0.16\", expect_size=\"50567168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72259584\", alpha=\"0.18\", expect_size=\"36129792\"] \n  1 -> 4 [size =\"36129792\"]\n  2 [size=\"86138880\", alpha=\"0.09\", expect_size=\"43069440\"] \n  2 -> 3 [size =\"43069440\"]\n  3 [size=\"22441984\", alpha=\"0.14\", expect_size=\"11220992\"] \n  3 -> 5 [size =\"11220992\"]\n  3 -> 6 [size =\"11220992\"]\n  4 [size=\"11313152\", alpha=\"0.00\", expect_size=\"5656576\"] \n  4 -> 5 [size =\"5656576\"]\n  4 -> 6 [size =\"5656576\"]\n  5 [size=\"55406592\", alpha=\"0.13\", expect_size=\"27703296\"] \n  5 -> 7 [size =\"27703296\"]\n  5 -> 8 [size =\"27703296\"]\n  6 [size=\"95647744\", alpha=\"0.12\", expect_size=\"47823872\"] \n  6 -> 7 [size =\"47823872\"]\n  6 -> 8 [size =\"47823872\"]\n  7 [size=\"98426880\", alpha=\"0.13\", expect_size=\"49213440\"] \n  7 -> 9 [size =\"49213440\"]\n  8 [size=\"23922688\", alpha=\"0.10\", expect_size=\"11961344\"] \n  8 -> 10 [size =\"11961344\"]\n  9 [size=\"103759872\", alpha=\"0.10\", expect_size=\"51879936\"] \n  9 -> 11 [size =\"51879936\"]\n  10 [size=\"69347328\", alpha=\"0.15\", expect_size=\"34673664\"] \n  10 -> 11 [size =\"34673664\"]\n  10 -> 12 [size =\"34673664\"]\n  11 [size=\"47687680\", alpha=\"0.06\", expect_size=\"23843840\"] \n  11 -> 13 [size =\"23843840\"]\n  12 [size=\"36579328\", alpha=\"0.09\", expect_size=\"18289664\"] \n  13 [size=\"79624192\", alpha=\"0.08\", expect_size=\"39812096\"] \n  13 -> 14 [size =\"39812096\"]\n  14 [size=\"51994624\", alpha=\"0.02\", expect_size=\"25997312\"] \n  14 -> 15 [size =\"25997312\"]\n  15 [size=\"52674560\", alpha=\"0.19\", expect_size=\"26337280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16820224\", alpha=\"0.02\", expect_size=\"8410112\"] \n  1 -> 6 [size =\"8410112\"]\n  2 [size=\"35901440\", alpha=\"0.18\", expect_size=\"17950720\"] \n  2 -> 6 [size =\"17950720\"]\n  2 -> 7 [size =\"17950720\"]\n  2 -> 10 [size =\"17950720\"]\n  3 [size=\"88094720\", alpha=\"0.04\", expect_size=\"44047360\"] \n  3 -> 8 [size =\"44047360\"]\n  3 -> 10 [size =\"44047360\"]\n  4 [size=\"67338240\", alpha=\"0.19\", expect_size=\"33669120\"] \n  4 -> 7 [size =\"33669120\"]\n  4 -> 10 [size =\"33669120\"]\n  5 [size=\"14618624\", alpha=\"0.15\", expect_size=\"7309312\"] \n  5 -> 9 [size =\"7309312\"]\n  6 [size=\"94734336\", alpha=\"0.03\", expect_size=\"47367168\"] \n  7 [size=\"65372160\", alpha=\"0.08\", expect_size=\"32686080\"] \n  7 -> 11 [size =\"32686080\"]\n  7 -> 12 [size =\"32686080\"]\n  7 -> 14 [size =\"32686080\"]\n  7 -> 15 [size =\"32686080\"]\n  8 [size=\"44298240\", alpha=\"0.01\", expect_size=\"22149120\"] \n  8 -> 11 [size =\"22149120\"]\n  9 [size=\"40589312\", alpha=\"0.16\", expect_size=\"20294656\"] \n  9 -> 13 [size =\"20294656\"]\n  10 [size=\"45391872\", alpha=\"0.19\", expect_size=\"22695936\"] \n  10 -> 14 [size =\"22695936\"]\n  11 [size=\"40714240\", alpha=\"0.16\", expect_size=\"20357120\"] \n  12 [size=\"47888384\", alpha=\"0.13\", expect_size=\"23944192\"] \n  13 [size=\"36595712\", alpha=\"0.15\", expect_size=\"18297856\"] \n  14 [size=\"55920640\", alpha=\"0.10\", expect_size=\"27960320\"] \n  15 [size=\"50051072\", alpha=\"0.06\", expect_size=\"25025536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167775573\", alpha=\"0.05\", expect_size=\"50332672\"] \n  1 -> 2 [size =\"50332672\"]\n  2 [size=\"59982507\", alpha=\"0.16\", expect_size=\"17994752\"] \n  2 -> 3 [size =\"17994752\"]\n  3 [size=\"45690880\", alpha=\"0.12\", expect_size=\"13707264\"] \n  3 -> 4 [size =\"13707264\"]\n  4 [size=\"144025600\", alpha=\"0.09\", expect_size=\"43207680\"] \n  4 -> 5 [size =\"43207680\"]\n  5 [size=\"126696107\", alpha=\"0.18\", expect_size=\"38008832\"] \n  5 -> 6 [size =\"38008832\"]\n  6 [size=\"30532267\", alpha=\"0.18\", expect_size=\"9159680\"] \n  6 -> 7 [size =\"9159680\"]\n  7 [size=\"117295787\", alpha=\"0.02\", expect_size=\"35188736\"] \n  7 -> 8 [size =\"35188736\"]\n  8 [size=\"40649387\", alpha=\"0.11\", expect_size=\"12194816\"] \n  8 -> 9 [size =\"12194816\"]\n  9 [size=\"116978347\", alpha=\"0.03\", expect_size=\"35093504\"] \n  9 -> 10 [size =\"35093504\"]\n  10 [size=\"41687040\", alpha=\"0.19\", expect_size=\"12506112\"] \n  10 -> 11 [size =\"12506112\"]\n  11 [size=\"27886933\", alpha=\"0.13\", expect_size=\"8366080\"] \n  11 -> 12 [size =\"8366080\"]\n  12 [size=\"67522560\", alpha=\"0.09\", expect_size=\"20256768\"] \n  12 -> 13 [size =\"20256768\"]\n  13 [size=\"33218560\", alpha=\"0.02\", expect_size=\"9965568\"] \n  13 -> 14 [size =\"9965568\"]\n  14 [size=\"130590720\", alpha=\"0.19\", expect_size=\"39177216\"] \n  14 -> 15 [size =\"39177216\"]\n  15 [size=\"42376533\", alpha=\"0.00\", expect_size=\"12712960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77834240\", alpha=\"0.02\", expect_size=\"38917120\"] \n  1 -> 4 [size =\"38917120\"]\n  1 -> 5 [size =\"38917120\"]\n  2 [size=\"72904704\", alpha=\"0.07\", expect_size=\"36452352\"] \n  2 -> 6 [size =\"36452352\"]\n  3 [size=\"77316096\", alpha=\"0.18\", expect_size=\"38658048\"] \n  3 -> 4 [size =\"38658048\"]\n  4 [size=\"93814784\", alpha=\"0.16\", expect_size=\"46907392\"] \n  4 -> 7 [size =\"46907392\"]\n  4 -> 8 [size =\"46907392\"]\n  5 [size=\"26204160\", alpha=\"0.19\", expect_size=\"13102080\"] \n  6 [size=\"85960704\", alpha=\"0.17\", expect_size=\"42980352\"] \n  6 -> 8 [size =\"42980352\"]\n  6 -> 9 [size =\"42980352\"]\n  7 [size=\"36732928\", alpha=\"0.07\", expect_size=\"18366464\"] \n  8 [size=\"20168704\", alpha=\"0.01\", expect_size=\"10084352\"] \n  8 -> 10 [size =\"10084352\"]\n  8 -> 12 [size =\"10084352\"]\n  9 [size=\"89344000\", alpha=\"0.17\", expect_size=\"44672000\"] \n  9 -> 10 [size =\"44672000\"]\n  9 -> 11 [size =\"44672000\"]\n  10 [size=\"57335808\", alpha=\"0.19\", expect_size=\"28667904\"] \n  10 -> 14 [size =\"28667904\"]\n  11 [size=\"100646912\", alpha=\"0.10\", expect_size=\"50323456\"] \n  11 -> 13 [size =\"50323456\"]\n  11 -> 14 [size =\"50323456\"]\n  12 [size=\"15874048\", alpha=\"0.02\", expect_size=\"7937024\"] \n  13 [size=\"49047552\", alpha=\"0.01\", expect_size=\"24523776\"] \n  14 [size=\"39899136\", alpha=\"0.01\", expect_size=\"19949568\"] \n  14 -> 15 [size =\"19949568\"]\n  15 [size=\"20031488\", alpha=\"0.04\", expect_size=\"10015744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82720768\", alpha=\"0.19\", expect_size=\"41360384\"] \n  2 [size=\"48216064\", alpha=\"0.13\", expect_size=\"24108032\"] \n  2 -> 15 [size =\"24108032\"]\n  3 [size=\"77656064\", alpha=\"0.02\", expect_size=\"38828032\"] \n  4 [size=\"74113024\", alpha=\"0.01\", expect_size=\"37056512\"] \n  5 [size=\"93997056\", alpha=\"0.08\", expect_size=\"46998528\"] \n  5 -> 12 [size =\"46998528\"]\n  6 [size=\"87523328\", alpha=\"0.19\", expect_size=\"43761664\"] \n  6 -> 13 [size =\"43761664\"]\n  7 [size=\"65200128\", alpha=\"0.19\", expect_size=\"32600064\"] \n  7 -> 12 [size =\"32600064\"]\n  8 [size=\"68360192\", alpha=\"0.06\", expect_size=\"34180096\"] \n  8 -> 13 [size =\"34180096\"]\n  8 -> 14 [size =\"34180096\"]\n  9 [size=\"84977664\", alpha=\"0.19\", expect_size=\"42488832\"] \n  9 -> 13 [size =\"42488832\"]\n  10 [size=\"26212352\", alpha=\"0.11\", expect_size=\"13106176\"] \n  11 [size=\"40820736\", alpha=\"0.01\", expect_size=\"20410368\"] \n  12 [size=\"35147776\", alpha=\"0.19\", expect_size=\"17573888\"] \n  13 [size=\"94390272\", alpha=\"0.16\", expect_size=\"47195136\"] \n  14 [size=\"11632640\", alpha=\"0.16\", expect_size=\"5816320\"] \n  15 [size=\"16758784\", alpha=\"0.02\", expect_size=\"8379392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37632000\", alpha=\"0.10\", expect_size=\"18816000\"] \n  1 -> 2 [size =\"18816000\"]\n  2 [size=\"92311552\", alpha=\"0.12\", expect_size=\"46155776\"] \n  2 -> 3 [size =\"46155776\"]\n  3 [size=\"66111488\", alpha=\"0.04\", expect_size=\"33055744\"] \n  3 -> 4 [size =\"33055744\"]\n  4 [size=\"20301824\", alpha=\"0.05\", expect_size=\"10150912\"] \n  4 -> 5 [size =\"10150912\"]\n  5 [size=\"81115136\", alpha=\"0.05\", expect_size=\"40557568\"] \n  5 -> 6 [size =\"40557568\"]\n  6 [size=\"75821056\", alpha=\"0.08\", expect_size=\"37910528\"] \n  6 -> 7 [size =\"37910528\"]\n  7 [size=\"57296896\", alpha=\"0.10\", expect_size=\"28648448\"] \n  7 -> 8 [size =\"28648448\"]\n  8 [size=\"39401472\", alpha=\"0.00\", expect_size=\"19700736\"] \n  8 -> 9 [size =\"19700736\"]\n  9 [size=\"34744320\", alpha=\"0.03\", expect_size=\"17372160\"] \n  9 -> 10 [size =\"17372160\"]\n  10 [size=\"68614144\", alpha=\"0.10\", expect_size=\"34307072\"] \n  10 -> 11 [size =\"34307072\"]\n  11 [size=\"21469184\", alpha=\"0.16\", expect_size=\"10734592\"] \n  11 -> 12 [size =\"10734592\"]\n  12 [size=\"67035136\", alpha=\"0.00\", expect_size=\"33517568\"] \n  12 -> 13 [size =\"33517568\"]\n  13 [size=\"28837888\", alpha=\"0.03\", expect_size=\"14418944\"] \n  13 -> 14 [size =\"14418944\"]\n  14 [size=\"48443392\", alpha=\"0.13\", expect_size=\"24221696\"] \n  14 -> 15 [size =\"24221696\"]\n  15 [size=\"72620032\", alpha=\"0.09\", expect_size=\"36310016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116473173\", alpha=\"0.07\", expect_size=\"34941952\"] \n  1 -> 6 [size =\"34941952\"]\n  1 -> 8 [size =\"34941952\"]\n  1 -> 9 [size =\"34941952\"]\n  1 -> 10 [size =\"34941952\"]\n  2 [size=\"42516480\", alpha=\"0.07\", expect_size=\"12754944\"] \n  2 -> 6 [size =\"12754944\"]\n  2 -> 8 [size =\"12754944\"]\n  2 -> 10 [size =\"12754944\"]\n  2 -> 10 [size =\"12754944\"]\n  3 [size=\"17762987\", alpha=\"0.10\", expect_size=\"5328896\"] \n  3 -> 8 [size =\"5328896\"]\n  3 -> 9 [size =\"5328896\"]\n  3 -> 11 [size =\"5328896\"]\n  4 [size=\"67089067\", alpha=\"0.07\", expect_size=\"20126720\"] \n  4 -> 7 [size =\"20126720\"]\n  4 -> 11 [size =\"20126720\"]\n  5 [size=\"52705280\", alpha=\"0.17\", expect_size=\"15811584\"] \n  5 -> 6 [size =\"15811584\"]\n  5 -> 7 [size =\"15811584\"]\n  5 -> 8 [size =\"15811584\"]\n  5 -> 10 [size =\"15811584\"]\n  6 [size=\"165730987\", alpha=\"0.05\", expect_size=\"49719296\"] \n  6 -> 12 [size =\"49719296\"]\n  7 [size=\"20718933\", alpha=\"0.17\", expect_size=\"6215680\"] \n  7 -> 14 [size =\"6215680\"]\n  8 [size=\"49148587\", alpha=\"0.04\", expect_size=\"14744576\"] \n  8 -> 13 [size =\"14744576\"]\n  8 -> 14 [size =\"14744576\"]\n  9 [size=\"78906027\", alpha=\"0.06\", expect_size=\"23671808\"] \n  9 -> 13 [size =\"23671808\"]\n  10 [size=\"65761280\", alpha=\"0.06\", expect_size=\"19728384\"] \n  10 -> 14 [size =\"19728384\"]\n  11 [size=\"124419413\", alpha=\"0.12\", expect_size=\"37325824\"] \n  11 -> 12 [size =\"37325824\"]\n  11 -> 14 [size =\"37325824\"]\n  11 -> 15 [size =\"37325824\"]\n  12 [size=\"21265067\", alpha=\"0.07\", expect_size=\"6379520\"] \n  13 [size=\"72553813\", alpha=\"0.10\", expect_size=\"21766144\"] \n  14 [size=\"151534933\", alpha=\"0.13\", expect_size=\"45460480\"] \n  15 [size=\"52957867\", alpha=\"0.08\", expect_size=\"15887360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71090176\", alpha=\"0.08\", expect_size=\"35545088\"] \n  1 -> 2 [size =\"35545088\"]\n  2 [size=\"88612864\", alpha=\"0.18\", expect_size=\"44306432\"] \n  2 -> 3 [size =\"44306432\"]\n  3 [size=\"22550528\", alpha=\"0.02\", expect_size=\"11275264\"] \n  3 -> 4 [size =\"11275264\"]\n  4 [size=\"72704000\", alpha=\"0.13\", expect_size=\"36352000\"] \n  4 -> 5 [size =\"36352000\"]\n  5 [size=\"36933632\", alpha=\"0.09\", expect_size=\"18466816\"] \n  5 -> 6 [size =\"18466816\"]\n  6 [size=\"14049280\", alpha=\"0.15\", expect_size=\"7024640\"] \n  6 -> 7 [size =\"7024640\"]\n  7 [size=\"59187200\", alpha=\"0.09\", expect_size=\"29593600\"] \n  7 -> 8 [size =\"29593600\"]\n  8 [size=\"86179840\", alpha=\"0.05\", expect_size=\"43089920\"] \n  8 -> 9 [size =\"43089920\"]\n  9 [size=\"33093632\", alpha=\"0.08\", expect_size=\"16546816\"] \n  9 -> 10 [size =\"16546816\"]\n  10 [size=\"16730112\", alpha=\"0.04\", expect_size=\"8365056\"] \n  10 -> 11 [size =\"8365056\"]\n  11 [size=\"97650688\", alpha=\"0.06\", expect_size=\"48825344\"] \n  11 -> 12 [size =\"48825344\"]\n  12 [size=\"39245824\", alpha=\"0.09\", expect_size=\"19622912\"] \n  12 -> 13 [size =\"19622912\"]\n  13 [size=\"27824128\", alpha=\"0.14\", expect_size=\"13912064\"] \n  13 -> 14 [size =\"13912064\"]\n  14 [size=\"38197248\", alpha=\"0.09\", expect_size=\"19098624\"] \n  14 -> 15 [size =\"19098624\"]\n  15 [size=\"98930688\", alpha=\"0.15\", expect_size=\"49465344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118770347\", alpha=\"0.07\", expect_size=\"35631104\"] \n  2 [size=\"69829973\", alpha=\"0.10\", expect_size=\"20948992\"] \n  2 -> 3 [size =\"20948992\"]\n  3 [size=\"80414720\", alpha=\"0.19\", expect_size=\"24124416\"] \n  3 -> 4 [size =\"24124416\"]\n  4 [size=\"19387733\", alpha=\"0.04\", expect_size=\"5816320\"] \n  4 -> 5 [size =\"5816320\"]\n  5 [size=\"70676480\", alpha=\"0.03\", expect_size=\"21202944\"] \n  5 -> 6 [size =\"21202944\"]\n  5 -> 7 [size =\"21202944\"]\n  6 [size=\"103400107\", alpha=\"0.20\", expect_size=\"31020032\"] \n  6 -> 8 [size =\"31020032\"]\n  7 [size=\"103710720\", alpha=\"0.15\", expect_size=\"31113216\"] \n  7 -> 9 [size =\"31113216\"]\n  8 [size=\"124719787\", alpha=\"0.03\", expect_size=\"37415936\"] \n  9 [size=\"53084160\", alpha=\"0.05\", expect_size=\"15925248\"] \n  9 -> 10 [size =\"15925248\"]\n  10 [size=\"115776853\", alpha=\"0.02\", expect_size=\"34733056\"] \n  10 -> 11 [size =\"34733056\"]\n  11 [size=\"144213333\", alpha=\"0.00\", expect_size=\"43264000\"] \n  11 -> 12 [size =\"43264000\"]\n  12 [size=\"44526933\", alpha=\"0.01\", expect_size=\"13358080\"] \n  12 -> 13 [size =\"13358080\"]\n  12 -> 14 [size =\"13358080\"]\n  13 [size=\"119326720\", alpha=\"0.06\", expect_size=\"35798016\"] \n  14 [size=\"109895680\", alpha=\"0.00\", expect_size=\"32968704\"] \n  14 -> 15 [size =\"32968704\"]\n  15 [size=\"139154773\", alpha=\"0.12\", expect_size=\"41746432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54491136\", alpha=\"0.08\", expect_size=\"27245568\"] \n  1 -> 2 [size =\"27245568\"]\n  2 [size=\"65574912\", alpha=\"0.13\", expect_size=\"32787456\"] \n  2 -> 3 [size =\"32787456\"]\n  3 [size=\"88313856\", alpha=\"0.11\", expect_size=\"44156928\"] \n  3 -> 4 [size =\"44156928\"]\n  4 [size=\"15572992\", alpha=\"0.19\", expect_size=\"7786496\"] \n  4 -> 5 [size =\"7786496\"]\n  5 [size=\"60891136\", alpha=\"0.13\", expect_size=\"30445568\"] \n  5 -> 6 [size =\"30445568\"]\n  6 [size=\"101879808\", alpha=\"0.03\", expect_size=\"50939904\"] \n  6 -> 7 [size =\"50939904\"]\n  7 [size=\"71923712\", alpha=\"0.01\", expect_size=\"35961856\"] \n  7 -> 8 [size =\"35961856\"]\n  8 [size=\"87199744\", alpha=\"0.00\", expect_size=\"43599872\"] \n  8 -> 9 [size =\"43599872\"]\n  9 [size=\"54233088\", alpha=\"0.14\", expect_size=\"27116544\"] \n  9 -> 10 [size =\"27116544\"]\n  10 [size=\"98009088\", alpha=\"0.04\", expect_size=\"49004544\"] \n  10 -> 11 [size =\"49004544\"]\n  11 [size=\"80238592\", alpha=\"0.10\", expect_size=\"40119296\"] \n  11 -> 12 [size =\"40119296\"]\n  12 [size=\"25862144\", alpha=\"0.16\", expect_size=\"12931072\"] \n  12 -> 13 [size =\"12931072\"]\n  13 [size=\"87334912\", alpha=\"0.17\", expect_size=\"43667456\"] \n  13 -> 14 [size =\"43667456\"]\n  14 [size=\"47155200\", alpha=\"0.19\", expect_size=\"23577600\"] \n  14 -> 15 [size =\"23577600\"]\n  15 [size=\"43257856\", alpha=\"0.13\", expect_size=\"21628928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125651627\", alpha=\"0.12\", expect_size=\"37695488\"] \n  1 -> 7 [size =\"37695488\"]\n  1 -> 11 [size =\"37695488\"]\n  2 [size=\"103092907\", alpha=\"0.15\", expect_size=\"30927872\"] \n  2 -> 7 [size =\"30927872\"]\n  2 -> 10 [size =\"30927872\"]\n  2 -> 11 [size =\"30927872\"]\n  3 [size=\"45090133\", alpha=\"0.06\", expect_size=\"13527040\"] \n  3 -> 8 [size =\"13527040\"]\n  3 -> 9 [size =\"13527040\"]\n  4 [size=\"99508907\", alpha=\"0.16\", expect_size=\"29852672\"] \n  5 [size=\"79735467\", alpha=\"0.19\", expect_size=\"23920640\"] \n  5 -> 9 [size =\"23920640\"]\n  6 [size=\"171987627\", alpha=\"0.16\", expect_size=\"51596288\"] \n  6 -> 8 [size =\"51596288\"]\n  7 [size=\"87862613\", alpha=\"0.17\", expect_size=\"26358784\"] \n  7 -> 12 [size =\"26358784\"]\n  7 -> 14 [size =\"26358784\"]\n  8 [size=\"100826453\", alpha=\"0.08\", expect_size=\"30247936\"] \n  8 -> 12 [size =\"30247936\"]\n  9 [size=\"166062080\", alpha=\"0.06\", expect_size=\"49818624\"] \n  9 -> 12 [size =\"49818624\"]\n  9 -> 15 [size =\"49818624\"]\n  10 [size=\"52582400\", alpha=\"0.12\", expect_size=\"15774720\"] \n  10 -> 13 [size =\"15774720\"]\n  10 -> 15 [size =\"15774720\"]\n  11 [size=\"19756373\", alpha=\"0.08\", expect_size=\"5926912\"] \n  11 -> 13 [size =\"5926912\"]\n  11 -> 14 [size =\"5926912\"]\n  12 [size=\"115295573\", alpha=\"0.09\", expect_size=\"34588672\"] \n  13 [size=\"78499840\", alpha=\"0.13\", expect_size=\"23549952\"] \n  14 [size=\"124532053\", alpha=\"0.05\", expect_size=\"37359616\"] \n  15 [size=\"93166933\", alpha=\"0.09\", expect_size=\"27950080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66604373\", alpha=\"0.20\", expect_size=\"19981312\"] \n  1 -> 2 [size =\"19981312\"]\n  2 [size=\"153658027\", alpha=\"0.09\", expect_size=\"46097408\"] \n  2 -> 3 [size =\"46097408\"]\n  3 [size=\"25770667\", alpha=\"0.11\", expect_size=\"7731200\"] \n  3 -> 4 [size =\"7731200\"]\n  4 [size=\"172499627\", alpha=\"0.16\", expect_size=\"51749888\"] \n  4 -> 5 [size =\"51749888\"]\n  5 [size=\"148322987\", alpha=\"0.19\", expect_size=\"44496896\"] \n  5 -> 6 [size =\"44496896\"]\n  6 [size=\"167079253\", alpha=\"0.11\", expect_size=\"50123776\"] \n  6 -> 7 [size =\"50123776\"]\n  7 [size=\"72120320\", alpha=\"0.04\", expect_size=\"21636096\"] \n  7 -> 8 [size =\"21636096\"]\n  8 [size=\"79783253\", alpha=\"0.17\", expect_size=\"23934976\"] \n  8 -> 9 [size =\"23934976\"]\n  9 [size=\"139035307\", alpha=\"0.12\", expect_size=\"41710592\"] \n  9 -> 10 [size =\"41710592\"]\n  10 [size=\"157303467\", alpha=\"0.16\", expect_size=\"47191040\"] \n  10 -> 11 [size =\"47191040\"]\n  11 [size=\"44602027\", alpha=\"0.07\", expect_size=\"13380608\"] \n  11 -> 12 [size =\"13380608\"]\n  12 [size=\"42564267\", alpha=\"0.05\", expect_size=\"12769280\"] \n  12 -> 13 [size =\"12769280\"]\n  13 [size=\"113008640\", alpha=\"0.13\", expect_size=\"33902592\"] \n  13 -> 14 [size =\"33902592\"]\n  14 [size=\"44875093\", alpha=\"0.14\", expect_size=\"13462528\"] \n  14 -> 15 [size =\"13462528\"]\n  15 [size=\"171813547\", alpha=\"0.05\", expect_size=\"51544064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98959360\", alpha=\"0.09\", expect_size=\"29687808\"] \n  1 -> 4 [size =\"29687808\"]\n  2 [size=\"38130347\", alpha=\"0.15\", expect_size=\"11439104\"] \n  2 -> 3 [size =\"11439104\"]\n  2 -> 4 [size =\"11439104\"]\n  3 [size=\"55186773\", alpha=\"0.00\", expect_size=\"16556032\"] \n  3 -> 5 [size =\"16556032\"]\n  4 [size=\"58647893\", alpha=\"0.12\", expect_size=\"17594368\"] \n  5 [size=\"44561067\", alpha=\"0.16\", expect_size=\"13368320\"] \n  5 -> 6 [size =\"13368320\"]\n  5 -> 7 [size =\"13368320\"]\n  6 [size=\"89432747\", alpha=\"0.05\", expect_size=\"26829824\"] \n  6 -> 8 [size =\"26829824\"]\n  7 [size=\"133461333\", alpha=\"0.11\", expect_size=\"40038400\"] \n  8 [size=\"48889173\", alpha=\"0.10\", expect_size=\"14666752\"] \n  8 -> 9 [size =\"14666752\"]\n  8 -> 10 [size =\"14666752\"]\n  9 [size=\"49476267\", alpha=\"0.11\", expect_size=\"14842880\"] \n  9 -> 11 [size =\"14842880\"]\n  9 -> 12 [size =\"14842880\"]\n  10 [size=\"48346453\", alpha=\"0.06\", expect_size=\"14503936\"] \n  10 -> 11 [size =\"14503936\"]\n  11 [size=\"125487787\", alpha=\"0.11\", expect_size=\"37646336\"] \n  11 -> 13 [size =\"37646336\"]\n  11 -> 14 [size =\"37646336\"]\n  12 [size=\"37888000\", alpha=\"0.17\", expect_size=\"11366400\"] \n  12 -> 13 [size =\"11366400\"]\n  12 -> 14 [size =\"11366400\"]\n  13 [size=\"159040853\", alpha=\"0.15\", expect_size=\"47712256\"] \n  13 -> 15 [size =\"47712256\"]\n  14 [size=\"162143573\", alpha=\"0.10\", expect_size=\"48643072\"] \n  14 -> 15 [size =\"48643072\"]\n  15 [size=\"98833067\", alpha=\"0.17\", expect_size=\"29649920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84984320\", alpha=\"0.08\", expect_size=\"33993728\"] \n  1 -> 9 [size =\"33993728\"]\n  1 -> 13 [size =\"33993728\"]\n  1 -> 14 [size =\"33993728\"]\n  2 [size=\"64417280\", alpha=\"0.07\", expect_size=\"25766912\"] \n  2 -> 10 [size =\"25766912\"]\n  2 -> 13 [size =\"25766912\"]\n  2 -> 14 [size =\"25766912\"]\n  3 [size=\"25169920\", alpha=\"0.16\", expect_size=\"10067968\"] \n  3 -> 9 [size =\"10067968\"]\n  3 -> 10 [size =\"10067968\"]\n  3 -> 13 [size =\"10067968\"]\n  3 -> 14 [size =\"10067968\"]\n  4 [size=\"44730880\", alpha=\"0.08\", expect_size=\"17892352\"] \n  4 -> 9 [size =\"17892352\"]\n  4 -> 11 [size =\"17892352\"]\n  4 -> 12 [size =\"17892352\"]\n  4 -> 13 [size =\"17892352\"]\n  4 -> 14 [size =\"17892352\"]\n  5 [size=\"102195200\", alpha=\"0.16\", expect_size=\"40878080\"] \n  5 -> 11 [size =\"40878080\"]\n  5 -> 13 [size =\"40878080\"]\n  5 -> 14 [size =\"40878080\"]\n  6 [size=\"78059520\", alpha=\"0.11\", expect_size=\"31223808\"] \n  6 -> 10 [size =\"31223808\"]\n  6 -> 11 [size =\"31223808\"]\n  6 -> 12 [size =\"31223808\"]\n  6 -> 14 [size =\"31223808\"]\n  6 -> 15 [size =\"31223808\"]\n  7 [size=\"42045440\", alpha=\"0.15\", expect_size=\"16818176\"] \n  7 -> 9 [size =\"16818176\"]\n  7 -> 11 [size =\"16818176\"]\n  7 -> 14 [size =\"16818176\"]\n  8 [size=\"20318720\", alpha=\"0.09\", expect_size=\"8127488\"] \n  8 -> 9 [size =\"8127488\"]\n  8 -> 11 [size =\"8127488\"]\n  8 -> 14 [size =\"8127488\"]\n  9 [size=\"31769600\", alpha=\"0.09\", expect_size=\"12707840\"] \n  10 [size=\"37160960\", alpha=\"0.06\", expect_size=\"14864384\"] \n  11 [size=\"127746560\", alpha=\"0.18\", expect_size=\"51098624\"] \n  12 [size=\"55677440\", alpha=\"0.12\", expect_size=\"22270976\"] \n  13 [size=\"97418240\", alpha=\"0.06\", expect_size=\"38967296\"] \n  14 [size=\"71636480\", alpha=\"0.15\", expect_size=\"28654592\"] \n  15 [size=\"117765120\", alpha=\"0.18\", expect_size=\"47106048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28320427\", alpha=\"0.01\", expect_size=\"8496128\"] \n  1 -> 2 [size =\"8496128\"]\n  2 [size=\"99833173\", alpha=\"0.08\", expect_size=\"29949952\"] \n  2 -> 3 [size =\"29949952\"]\n  3 [size=\"76642987\", alpha=\"0.06\", expect_size=\"22992896\"] \n  3 -> 4 [size =\"22992896\"]\n  4 [size=\"74205867\", alpha=\"0.11\", expect_size=\"22261760\"] \n  4 -> 5 [size =\"22261760\"]\n  5 [size=\"17735680\", alpha=\"0.06\", expect_size=\"5320704\"] \n  5 -> 6 [size =\"5320704\"]\n  6 [size=\"39980373\", alpha=\"0.08\", expect_size=\"11994112\"] \n  6 -> 7 [size =\"11994112\"]\n  7 [size=\"151794347\", alpha=\"0.03\", expect_size=\"45538304\"] \n  7 -> 8 [size =\"45538304\"]\n  8 [size=\"53060267\", alpha=\"0.12\", expect_size=\"15918080\"] \n  8 -> 9 [size =\"15918080\"]\n  9 [size=\"164450987\", alpha=\"0.18\", expect_size=\"49335296\"] \n  9 -> 10 [size =\"49335296\"]\n  10 [size=\"20691627\", alpha=\"0.08\", expect_size=\"6207488\"] \n  10 -> 11 [size =\"6207488\"]\n  11 [size=\"57122133\", alpha=\"0.01\", expect_size=\"17136640\"] \n  11 -> 12 [size =\"17136640\"]\n  12 [size=\"68324693\", alpha=\"0.19\", expect_size=\"20497408\"] \n  12 -> 13 [size =\"20497408\"]\n  13 [size=\"128221867\", alpha=\"0.01\", expect_size=\"38466560\"] \n  13 -> 14 [size =\"38466560\"]\n  14 [size=\"174247253\", alpha=\"0.09\", expect_size=\"52274176\"] \n  14 -> 15 [size =\"52274176\"]\n  15 [size=\"105850880\", alpha=\"0.01\", expect_size=\"31755264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50580480\", alpha=\"0.02\", expect_size=\"20232192\"] \n  1 -> 14 [size =\"20232192\"]\n  1 -> 15 [size =\"20232192\"]\n  2 [size=\"50334720\", alpha=\"0.11\", expect_size=\"20133888\"] \n  2 -> 14 [size =\"20133888\"]\n  3 [size=\"50972160\", alpha=\"0.06\", expect_size=\"20388864\"] \n  3 -> 14 [size =\"20388864\"]\n  3 -> 15 [size =\"20388864\"]\n  4 [size=\"61675520\", alpha=\"0.02\", expect_size=\"24670208\"] \n  4 -> 15 [size =\"24670208\"]\n  4 -> 15 [size =\"24670208\"]\n  5 [size=\"38676480\", alpha=\"0.00\", expect_size=\"15470592\"] \n  5 -> 14 [size =\"15470592\"]\n  5 -> 15 [size =\"15470592\"]\n  6 [size=\"84075520\", alpha=\"0.14\", expect_size=\"33630208\"] \n  6 -> 15 [size =\"33630208\"]\n  7 [size=\"75289600\", alpha=\"0.10\", expect_size=\"30115840\"] \n  7 -> 15 [size =\"30115840\"]\n  8 [size=\"76334080\", alpha=\"0.17\", expect_size=\"30533632\"] \n  8 -> 13 [size =\"30533632\"]\n  9 [size=\"70330880\", alpha=\"0.16\", expect_size=\"28132352\"] \n  10 [size=\"65474560\", alpha=\"0.11\", expect_size=\"26189824\"] \n  10 -> 14 [size =\"26189824\"]\n  10 -> 15 [size =\"26189824\"]\n  11 [size=\"114567680\", alpha=\"0.09\", expect_size=\"45827072\"] \n  11 -> 14 [size =\"45827072\"]\n  11 -> 15 [size =\"45827072\"]\n  12 [size=\"128744960\", alpha=\"0.12\", expect_size=\"51497984\"] \n  12 -> 15 [size =\"51497984\"]\n  13 [size=\"73036800\", alpha=\"0.12\", expect_size=\"29214720\"] \n  14 [size=\"109808640\", alpha=\"0.03\", expect_size=\"43923456\"] \n  15 [size=\"120291840\", alpha=\"0.03\", expect_size=\"48116736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28868608\", alpha=\"0.12\", expect_size=\"14434304\"] \n  1 -> 3 [size =\"14434304\"]\n  2 [size=\"97009664\", alpha=\"0.14\", expect_size=\"48504832\"] \n  2 -> 3 [size =\"48504832\"]\n  3 [size=\"78190592\", alpha=\"0.15\", expect_size=\"39095296\"] \n  3 -> 4 [size =\"39095296\"]\n  4 [size=\"13731840\", alpha=\"0.14\", expect_size=\"6865920\"] \n  4 -> 5 [size =\"6865920\"]\n  4 -> 6 [size =\"6865920\"]\n  5 [size=\"13776896\", alpha=\"0.12\", expect_size=\"6888448\"] \n  5 -> 7 [size =\"6888448\"]\n  6 [size=\"102690816\", alpha=\"0.13\", expect_size=\"51345408\"] \n  6 -> 7 [size =\"51345408\"]\n  6 -> 8 [size =\"51345408\"]\n  7 [size=\"60733440\", alpha=\"0.09\", expect_size=\"30366720\"] \n  7 -> 9 [size =\"30366720\"]\n  8 [size=\"57856000\", alpha=\"0.17\", expect_size=\"28928000\"] \n  8 -> 9 [size =\"28928000\"]\n  9 [size=\"34234368\", alpha=\"0.02\", expect_size=\"17117184\"] \n  9 -> 10 [size =\"17117184\"]\n  10 [size=\"66516992\", alpha=\"0.14\", expect_size=\"33258496\"] \n  10 -> 11 [size =\"33258496\"]\n  11 [size=\"50405376\", alpha=\"0.08\", expect_size=\"25202688\"] \n  11 -> 12 [size =\"25202688\"]\n  11 -> 13 [size =\"25202688\"]\n  12 [size=\"12746752\", alpha=\"0.18\", expect_size=\"6373376\"] \n  12 -> 14 [size =\"6373376\"]\n  13 [size=\"80500736\", alpha=\"0.08\", expect_size=\"40250368\"] \n  13 -> 14 [size =\"40250368\"]\n  13 -> 15 [size =\"40250368\"]\n  14 [size=\"58499072\", alpha=\"0.03\", expect_size=\"29249536\"] \n  15 [size=\"31506432\", alpha=\"0.02\", expect_size=\"15753216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160167253\", alpha=\"0.12\", expect_size=\"48050176\"] \n  1 -> 2 [size =\"48050176\"]\n  2 [size=\"142711467\", alpha=\"0.13\", expect_size=\"42813440\"] \n  2 -> 3 [size =\"42813440\"]\n  3 [size=\"110708053\", alpha=\"0.15\", expect_size=\"33212416\"] \n  3 -> 4 [size =\"33212416\"]\n  4 [size=\"61276160\", alpha=\"0.18\", expect_size=\"18382848\"] \n  4 -> 5 [size =\"18382848\"]\n  5 [size=\"61934933\", alpha=\"0.11\", expect_size=\"18580480\"] \n  5 -> 6 [size =\"18580480\"]\n  6 [size=\"112715093\", alpha=\"0.06\", expect_size=\"33814528\"] \n  6 -> 7 [size =\"33814528\"]\n  7 [size=\"21551787\", alpha=\"0.06\", expect_size=\"6465536\"] \n  7 -> 8 [size =\"6465536\"]\n  8 [size=\"61528747\", alpha=\"0.08\", expect_size=\"18458624\"] \n  8 -> 9 [size =\"18458624\"]\n  9 [size=\"50257920\", alpha=\"0.05\", expect_size=\"15077376\"] \n  9 -> 10 [size =\"15077376\"]\n  10 [size=\"86633813\", alpha=\"0.09\", expect_size=\"25990144\"] \n  10 -> 11 [size =\"25990144\"]\n  11 [size=\"38679893\", alpha=\"0.16\", expect_size=\"11603968\"] \n  11 -> 12 [size =\"11603968\"]\n  12 [size=\"136925867\", alpha=\"0.17\", expect_size=\"41077760\"] \n  12 -> 13 [size =\"41077760\"]\n  13 [size=\"84353707\", alpha=\"0.16\", expect_size=\"25306112\"] \n  13 -> 14 [size =\"25306112\"]\n  14 [size=\"48418133\", alpha=\"0.02\", expect_size=\"14525440\"] \n  14 -> 15 [size =\"14525440\"]\n  15 [size=\"32290133\", alpha=\"0.02\", expect_size=\"9687040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83934720\", alpha=\"0.11\", expect_size=\"33573888\"] \n  1 -> 4 [size =\"33573888\"]\n  1 -> 5 [size =\"33573888\"]\n  2 [size=\"55943680\", alpha=\"0.11\", expect_size=\"22377472\"] \n  3 [size=\"29918720\", alpha=\"0.04\", expect_size=\"11967488\"] \n  3 -> 4 [size =\"11967488\"]\n  3 -> 5 [size =\"11967488\"]\n  4 [size=\"52500480\", alpha=\"0.13\", expect_size=\"21000192\"] \n  4 -> 6 [size =\"21000192\"]\n  4 -> 7 [size =\"21000192\"]\n  5 [size=\"94725120\", alpha=\"0.16\", expect_size=\"37890048\"] \n  6 [size=\"38172160\", alpha=\"0.01\", expect_size=\"15268864\"] \n  6 -> 8 [size =\"15268864\"]\n  7 [size=\"42762240\", alpha=\"0.07\", expect_size=\"17104896\"] \n  7 -> 8 [size =\"17104896\"]\n  7 -> 9 [size =\"17104896\"]\n  8 [size=\"94530560\", alpha=\"0.14\", expect_size=\"37812224\"] \n  8 -> 10 [size =\"37812224\"]\n  8 -> 11 [size =\"37812224\"]\n  9 [size=\"55280640\", alpha=\"0.16\", expect_size=\"22112256\"] \n  9 -> 10 [size =\"22112256\"]\n  9 -> 11 [size =\"22112256\"]\n  9 -> 12 [size =\"22112256\"]\n  10 [size=\"58772480\", alpha=\"0.13\", expect_size=\"23508992\"] \n  10 -> 13 [size =\"23508992\"]\n  10 -> 14 [size =\"23508992\"]\n  10 -> 15 [size =\"23508992\"]\n  11 [size=\"23429120\", alpha=\"0.17\", expect_size=\"9371648\"] \n  11 -> 13 [size =\"9371648\"]\n  11 -> 15 [size =\"9371648\"]\n  12 [size=\"87687680\", alpha=\"0.14\", expect_size=\"35075072\"] \n  12 -> 14 [size =\"35075072\"]\n  12 -> 15 [size =\"35075072\"]\n  13 [size=\"35944960\", alpha=\"0.00\", expect_size=\"14377984\"] \n  14 [size=\"57845760\", alpha=\"0.05\", expect_size=\"23138304\"] \n  15 [size=\"17943040\", alpha=\"0.02\", expect_size=\"7177216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108441600\", alpha=\"0.13\", expect_size=\"43376640\"] \n  1 -> 6 [size =\"43376640\"]\n  1 -> 8 [size =\"43376640\"]\n  1 -> 10 [size =\"43376640\"]\n  1 -> 11 [size =\"43376640\"]\n  1 -> 13 [size =\"43376640\"]\n  2 [size=\"109724160\", alpha=\"0.13\", expect_size=\"43889664\"] \n  2 -> 8 [size =\"43889664\"]\n  2 -> 9 [size =\"43889664\"]\n  3 [size=\"75432960\", alpha=\"0.08\", expect_size=\"30173184\"] \n  3 -> 6 [size =\"30173184\"]\n  3 -> 9 [size =\"30173184\"]\n  3 -> 12 [size =\"30173184\"]\n  4 [size=\"65034240\", alpha=\"0.03\", expect_size=\"26013696\"] \n  4 -> 7 [size =\"26013696\"]\n  4 -> 9 [size =\"26013696\"]\n  5 [size=\"42283520\", alpha=\"0.14\", expect_size=\"16913408\"] \n  5 -> 7 [size =\"16913408\"]\n  5 -> 8 [size =\"16913408\"]\n  5 -> 12 [size =\"16913408\"]\n  5 -> 13 [size =\"16913408\"]\n  6 [size=\"21532160\", alpha=\"0.19\", expect_size=\"8612864\"] \n  6 -> 15 [size =\"8612864\"]\n  7 [size=\"50014720\", alpha=\"0.05\", expect_size=\"20005888\"] \n  8 [size=\"95813120\", alpha=\"0.05\", expect_size=\"38325248\"] \n  8 -> 15 [size =\"38325248\"]\n  9 [size=\"21383680\", alpha=\"0.07\", expect_size=\"8553472\"] \n  9 -> 14 [size =\"8553472\"]\n  10 [size=\"22149120\", alpha=\"0.04\", expect_size=\"8859648\"] \n  10 -> 15 [size =\"8859648\"]\n  11 [size=\"96791040\", alpha=\"0.09\", expect_size=\"38716416\"] \n  12 [size=\"54274560\", alpha=\"0.05\", expect_size=\"21709824\"] \n  12 -> 14 [size =\"21709824\"]\n  13 [size=\"13332480\", alpha=\"0.12\", expect_size=\"5332992\"] \n  13 -> 15 [size =\"5332992\"]\n  14 [size=\"58401280\", alpha=\"0.00\", expect_size=\"23360512\"] \n  15 [size=\"77905920\", alpha=\"0.03\", expect_size=\"31162368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55555413\", alpha=\"0.02\", expect_size=\"16666624\"] \n  1 -> 14 [size =\"16666624\"]\n  2 [size=\"31003307\", alpha=\"0.08\", expect_size=\"9300992\"] \n  2 -> 13 [size =\"9300992\"]\n  2 -> 14 [size =\"9300992\"]\n  3 [size=\"138509653\", alpha=\"0.18\", expect_size=\"41552896\"] \n  3 -> 14 [size =\"41552896\"]\n  3 -> 15 [size =\"41552896\"]\n  4 [size=\"129529173\", alpha=\"0.10\", expect_size=\"38858752\"] \n  4 -> 14 [size =\"38858752\"]\n  5 [size=\"42059093\", alpha=\"0.10\", expect_size=\"12617728\"] \n  6 [size=\"131341653\", alpha=\"0.00\", expect_size=\"39402496\"] \n  7 [size=\"114380800\", alpha=\"0.13\", expect_size=\"34314240\"] \n  8 [size=\"20210347\", alpha=\"0.05\", expect_size=\"6063104\"] \n  8 -> 14 [size =\"6063104\"]\n  9 [size=\"124214613\", alpha=\"0.11\", expect_size=\"37264384\"] \n  9 -> 14 [size =\"37264384\"]\n  10 [size=\"170625707\", alpha=\"0.04\", expect_size=\"51187712\"] \n  10 -> 14 [size =\"51187712\"]\n  11 [size=\"127426560\", alpha=\"0.03\", expect_size=\"38227968\"] \n  11 -> 14 [size =\"38227968\"]\n  12 [size=\"142858240\", alpha=\"0.14\", expect_size=\"42857472\"] \n  12 -> 14 [size =\"42857472\"]\n  13 [size=\"47708160\", alpha=\"0.18\", expect_size=\"14312448\"] \n  14 [size=\"31385600\", alpha=\"0.13\", expect_size=\"9415680\"] \n  15 [size=\"112216747\", alpha=\"0.07\", expect_size=\"33665024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18515968\", alpha=\"0.05\", expect_size=\"9257984\"] \n  1 -> 2 [size =\"9257984\"]\n  2 [size=\"42899456\", alpha=\"0.15\", expect_size=\"21449728\"] \n  2 -> 3 [size =\"21449728\"]\n  3 [size=\"13203456\", alpha=\"0.15\", expect_size=\"6601728\"] \n  3 -> 4 [size =\"6601728\"]\n  4 [size=\"21645312\", alpha=\"0.12\", expect_size=\"10822656\"] \n  4 -> 5 [size =\"10822656\"]\n  5 [size=\"43563008\", alpha=\"0.12\", expect_size=\"21781504\"] \n  5 -> 6 [size =\"21781504\"]\n  6 [size=\"14114816\", alpha=\"0.03\", expect_size=\"7057408\"] \n  6 -> 7 [size =\"7057408\"]\n  7 [size=\"46432256\", alpha=\"0.12\", expect_size=\"23216128\"] \n  7 -> 8 [size =\"23216128\"]\n  8 [size=\"48488448\", alpha=\"0.01\", expect_size=\"24244224\"] \n  8 -> 9 [size =\"24244224\"]\n  9 [size=\"83738624\", alpha=\"0.19\", expect_size=\"41869312\"] \n  9 -> 10 [size =\"41869312\"]\n  10 [size=\"39196672\", alpha=\"0.02\", expect_size=\"19598336\"] \n  10 -> 11 [size =\"19598336\"]\n  11 [size=\"51445760\", alpha=\"0.18\", expect_size=\"25722880\"] \n  11 -> 12 [size =\"25722880\"]\n  12 [size=\"74186752\", alpha=\"0.15\", expect_size=\"37093376\"] \n  12 -> 13 [size =\"37093376\"]\n  13 [size=\"50329600\", alpha=\"0.16\", expect_size=\"25164800\"] \n  13 -> 14 [size =\"25164800\"]\n  14 [size=\"26120192\", alpha=\"0.19\", expect_size=\"13060096\"] \n  14 -> 15 [size =\"13060096\"]\n  15 [size=\"80754688\", alpha=\"0.14\", expect_size=\"40377344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100193280\", alpha=\"0.09\", expect_size=\"40077312\"] \n  1 -> 9 [size =\"40077312\"]\n  1 -> 10 [size =\"40077312\"]\n  2 [size=\"71674880\", alpha=\"0.10\", expect_size=\"28669952\"] \n  2 -> 9 [size =\"28669952\"]\n  3 [size=\"19000320\", alpha=\"0.17\", expect_size=\"7600128\"] \n  3 -> 6 [size =\"7600128\"]\n  3 -> 7 [size =\"7600128\"]\n  3 -> 8 [size =\"7600128\"]\n  4 [size=\"56079360\", alpha=\"0.03\", expect_size=\"22431744\"] \n  4 -> 6 [size =\"22431744\"]\n  4 -> 7 [size =\"22431744\"]\n  5 [size=\"74979840\", alpha=\"0.06\", expect_size=\"29991936\"] \n  5 -> 7 [size =\"29991936\"]\n  5 -> 8 [size =\"29991936\"]\n  5 -> 10 [size =\"29991936\"]\n  6 [size=\"102051840\", alpha=\"0.08\", expect_size=\"40820736\"] \n  6 -> 11 [size =\"40820736\"]\n  6 -> 12 [size =\"40820736\"]\n  7 [size=\"32688640\", alpha=\"0.00\", expect_size=\"13075456\"] \n  7 -> 12 [size =\"13075456\"]\n  8 [size=\"26270720\", alpha=\"0.01\", expect_size=\"10508288\"] \n  8 -> 15 [size =\"10508288\"]\n  9 [size=\"105356800\", alpha=\"0.05\", expect_size=\"42142720\"] \n  9 -> 13 [size =\"42142720\"]\n  10 [size=\"50667520\", alpha=\"0.12\", expect_size=\"20267008\"] \n  10 -> 11 [size =\"20267008\"]\n  10 -> 14 [size =\"20267008\"]\n  11 [size=\"104499200\", alpha=\"0.09\", expect_size=\"41799680\"] \n  12 [size=\"42391040\", alpha=\"0.11\", expect_size=\"16956416\"] \n  13 [size=\"100938240\", alpha=\"0.10\", expect_size=\"40375296\"] \n  14 [size=\"85084160\", alpha=\"0.14\", expect_size=\"34033664\"] \n  15 [size=\"100326400\", alpha=\"0.18\", expect_size=\"40130560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98201600\", alpha=\"0.16\", expect_size=\"49100800\"] \n  1 -> 2 [size =\"49100800\"]\n  2 [size=\"69320704\", alpha=\"0.01\", expect_size=\"34660352\"] \n  2 -> 3 [size =\"34660352\"]\n  3 [size=\"34476032\", alpha=\"0.05\", expect_size=\"17238016\"] \n  3 -> 4 [size =\"17238016\"]\n  4 [size=\"62076928\", alpha=\"0.18\", expect_size=\"31038464\"] \n  4 -> 5 [size =\"31038464\"]\n  5 [size=\"24102912\", alpha=\"0.07\", expect_size=\"12051456\"] \n  5 -> 6 [size =\"12051456\"]\n  6 [size=\"59207680\", alpha=\"0.01\", expect_size=\"29603840\"] \n  6 -> 7 [size =\"29603840\"]\n  7 [size=\"64407552\", alpha=\"0.15\", expect_size=\"32203776\"] \n  7 -> 8 [size =\"32203776\"]\n  8 [size=\"55672832\", alpha=\"0.18\", expect_size=\"27836416\"] \n  8 -> 9 [size =\"27836416\"]\n  9 [size=\"64942080\", alpha=\"0.17\", expect_size=\"32471040\"] \n  9 -> 10 [size =\"32471040\"]\n  10 [size=\"34621440\", alpha=\"0.13\", expect_size=\"17310720\"] \n  10 -> 11 [size =\"17310720\"]\n  11 [size=\"44042240\", alpha=\"0.05\", expect_size=\"22021120\"] \n  11 -> 12 [size =\"22021120\"]\n  12 [size=\"25378816\", alpha=\"0.04\", expect_size=\"12689408\"] \n  12 -> 13 [size =\"12689408\"]\n  13 [size=\"29292544\", alpha=\"0.12\", expect_size=\"14646272\"] \n  13 -> 14 [size =\"14646272\"]\n  14 [size=\"51333120\", alpha=\"0.04\", expect_size=\"25666560\"] \n  14 -> 15 [size =\"25666560\"]\n  15 [size=\"44214272\", alpha=\"0.05\", expect_size=\"22107136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58621952\", alpha=\"0.17\", expect_size=\"29310976\"] \n  1 -> 6 [size =\"29310976\"]\n  1 -> 11 [size =\"29310976\"]\n  2 [size=\"98293760\", alpha=\"0.04\", expect_size=\"49146880\"] \n  2 -> 7 [size =\"49146880\"]\n  2 -> 8 [size =\"49146880\"]\n  2 -> 9 [size =\"49146880\"]\n  2 -> 10 [size =\"49146880\"]\n  3 [size=\"46043136\", alpha=\"0.10\", expect_size=\"23021568\"] \n  3 -> 6 [size =\"23021568\"]\n  3 -> 7 [size =\"23021568\"]\n  3 -> 8 [size =\"23021568\"]\n  4 [size=\"53489664\", alpha=\"0.12\", expect_size=\"26744832\"] \n  4 -> 6 [size =\"26744832\"]\n  4 -> 8 [size =\"26744832\"]\n  4 -> 9 [size =\"26744832\"]\n  4 -> 10 [size =\"26744832\"]\n  5 [size=\"43225088\", alpha=\"0.17\", expect_size=\"21612544\"] \n  5 -> 6 [size =\"21612544\"]\n  5 -> 9 [size =\"21612544\"]\n  5 -> 10 [size =\"21612544\"]\n  6 [size=\"58454016\", alpha=\"0.04\", expect_size=\"29227008\"] \n  6 -> 14 [size =\"29227008\"]\n  6 -> 15 [size =\"29227008\"]\n  7 [size=\"91783168\", alpha=\"0.20\", expect_size=\"45891584\"] \n  7 -> 13 [size =\"45891584\"]\n  7 -> 14 [size =\"45891584\"]\n  7 -> 15 [size =\"45891584\"]\n  8 [size=\"10973184\", alpha=\"0.07\", expect_size=\"5486592\"] \n  8 -> 13 [size =\"5486592\"]\n  8 -> 15 [size =\"5486592\"]\n  9 [size=\"13811712\", alpha=\"0.09\", expect_size=\"6905856\"] \n  9 -> 13 [size =\"6905856\"]\n  9 -> 14 [size =\"6905856\"]\n  10 [size=\"81180672\", alpha=\"0.20\", expect_size=\"40590336\"] \n  10 -> 12 [size =\"40590336\"]\n  10 -> 13 [size =\"40590336\"]\n  11 [size=\"49227776\", alpha=\"0.01\", expect_size=\"24613888\"] \n  12 [size=\"35102720\", alpha=\"0.16\", expect_size=\"17551360\"] \n  13 [size=\"54988800\", alpha=\"0.16\", expect_size=\"27494400\"] \n  14 [size=\"102580224\", alpha=\"0.04\", expect_size=\"51290112\"] \n  15 [size=\"63420416\", alpha=\"0.12\", expect_size=\"31710208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41516373\", alpha=\"0.16\", expect_size=\"12454912\"] \n  1 -> 8 [size =\"12454912\"]\n  2 [size=\"120562347\", alpha=\"0.06\", expect_size=\"36168704\"] \n  2 -> 8 [size =\"36168704\"]\n  2 -> 9 [size =\"36168704\"]\n  2 -> 12 [size =\"36168704\"]\n  3 [size=\"103895040\", alpha=\"0.07\", expect_size=\"31168512\"] \n  3 -> 8 [size =\"31168512\"]\n  3 -> 9 [size =\"31168512\"]\n  3 -> 12 [size =\"31168512\"]\n  4 [size=\"137332053\", alpha=\"0.11\", expect_size=\"41199616\"] \n  4 -> 8 [size =\"41199616\"]\n  4 -> 12 [size =\"41199616\"]\n  5 [size=\"60009813\", alpha=\"0.07\", expect_size=\"18002944\"] \n  5 -> 8 [size =\"18002944\"]\n  5 -> 10 [size =\"18002944\"]\n  5 -> 12 [size =\"18002944\"]\n  6 [size=\"80319147\", alpha=\"0.07\", expect_size=\"24095744\"] \n  6 -> 8 [size =\"24095744\"]\n  6 -> 12 [size =\"24095744\"]\n  7 [size=\"170891947\", alpha=\"0.04\", expect_size=\"51267584\"] \n  7 -> 8 [size =\"51267584\"]\n  7 -> 9 [size =\"51267584\"]\n  7 -> 10 [size =\"51267584\"]\n  7 -> 11 [size =\"51267584\"]\n  7 -> 12 [size =\"51267584\"]\n  8 [size=\"91484160\", alpha=\"0.15\", expect_size=\"27445248\"] \n  8 -> 13 [size =\"27445248\"]\n  8 -> 14 [size =\"27445248\"]\n  8 -> 15 [size =\"27445248\"]\n  9 [size=\"164256427\", alpha=\"0.12\", expect_size=\"49276928\"] \n  9 -> 13 [size =\"49276928\"]\n  9 -> 14 [size =\"49276928\"]\n  9 -> 15 [size =\"49276928\"]\n  10 [size=\"94382080\", alpha=\"0.19\", expect_size=\"28314624\"] \n  10 -> 13 [size =\"28314624\"]\n  10 -> 15 [size =\"28314624\"]\n  11 [size=\"136475307\", alpha=\"0.08\", expect_size=\"40942592\"] \n  11 -> 13 [size =\"40942592\"]\n  12 [size=\"103929173\", alpha=\"0.15\", expect_size=\"31178752\"] \n  12 -> 13 [size =\"31178752\"]\n  12 -> 14 [size =\"31178752\"]\n  12 -> 15 [size =\"31178752\"]\n  13 [size=\"154733227\", alpha=\"0.15\", expect_size=\"46419968\"] \n  14 [size=\"49305600\", alpha=\"0.15\", expect_size=\"14791680\"] \n  15 [size=\"139004587\", alpha=\"0.11\", expect_size=\"41701376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51417088\", alpha=\"0.14\", expect_size=\"25708544\"] \n  2 [size=\"11229184\", alpha=\"0.01\", expect_size=\"5614592\"] \n  2 -> 3 [size =\"5614592\"]\n  2 -> 4 [size =\"5614592\"]\n  2 -> 5 [size =\"5614592\"]\n  3 [size=\"23021568\", alpha=\"0.14\", expect_size=\"11510784\"] \n  4 [size=\"25403392\", alpha=\"0.06\", expect_size=\"12701696\"] \n  4 -> 6 [size =\"12701696\"]\n  4 -> 7 [size =\"12701696\"]\n  5 [size=\"100376576\", alpha=\"0.12\", expect_size=\"50188288\"] \n  6 [size=\"19363840\", alpha=\"0.19\", expect_size=\"9681920\"] \n  6 -> 8 [size =\"9681920\"]\n  6 -> 9 [size =\"9681920\"]\n  7 [size=\"102699008\", alpha=\"0.17\", expect_size=\"51349504\"] \n  8 [size=\"25161728\", alpha=\"0.04\", expect_size=\"12580864\"] \n  8 -> 10 [size =\"12580864\"]\n  8 -> 11 [size =\"12580864\"]\n  9 [size=\"68169728\", alpha=\"0.12\", expect_size=\"34084864\"] \n  9 -> 10 [size =\"34084864\"]\n  9 -> 11 [size =\"34084864\"]\n  10 [size=\"95864832\", alpha=\"0.07\", expect_size=\"47932416\"] \n  10 -> 13 [size =\"47932416\"]\n  10 -> 14 [size =\"47932416\"]\n  11 [size=\"37158912\", alpha=\"0.15\", expect_size=\"18579456\"] \n  11 -> 12 [size =\"18579456\"]\n  11 -> 13 [size =\"18579456\"]\n  12 [size=\"10672128\", alpha=\"0.08\", expect_size=\"5336064\"] \n  13 [size=\"16834560\", alpha=\"0.09\", expect_size=\"8417280\"] \n  13 -> 15 [size =\"8417280\"]\n  14 [size=\"81991680\", alpha=\"0.17\", expect_size=\"40995840\"] \n  14 -> 15 [size =\"40995840\"]\n  15 [size=\"14700544\", alpha=\"0.17\", expect_size=\"7350272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105168213\", alpha=\"0.13\", expect_size=\"31550464\"] \n  1 -> 4 [size =\"31550464\"]\n  1 -> 5 [size =\"31550464\"]\n  2 [size=\"94641493\", alpha=\"0.10\", expect_size=\"28392448\"] \n  2 -> 4 [size =\"28392448\"]\n  3 [size=\"158057813\", alpha=\"0.19\", expect_size=\"47417344\"] \n  4 [size=\"37198507\", alpha=\"0.11\", expect_size=\"11159552\"] \n  4 -> 7 [size =\"11159552\"]\n  5 [size=\"117988693\", alpha=\"0.08\", expect_size=\"35396608\"] \n  5 -> 6 [size =\"35396608\"]\n  6 [size=\"144141653\", alpha=\"0.14\", expect_size=\"43242496\"] \n  6 -> 8 [size =\"43242496\"]\n  6 -> 9 [size =\"43242496\"]\n  7 [size=\"99444053\", alpha=\"0.12\", expect_size=\"29833216\"] \n  7 -> 9 [size =\"29833216\"]\n  8 [size=\"22019413\", alpha=\"0.00\", expect_size=\"6605824\"] \n  8 -> 11 [size =\"6605824\"]\n  8 -> 12 [size =\"6605824\"]\n  9 [size=\"41779200\", alpha=\"0.06\", expect_size=\"12533760\"] \n  9 -> 10 [size =\"12533760\"]\n  9 -> 12 [size =\"12533760\"]\n  10 [size=\"43943253\", alpha=\"0.03\", expect_size=\"13182976\"] \n  10 -> 13 [size =\"13182976\"]\n  11 [size=\"152961707\", alpha=\"0.17\", expect_size=\"45888512\"] \n  11 -> 14 [size =\"45888512\"]\n  11 -> 15 [size =\"45888512\"]\n  12 [size=\"101379413\", alpha=\"0.11\", expect_size=\"30413824\"] \n  12 -> 13 [size =\"30413824\"]\n  12 -> 14 [size =\"30413824\"]\n  12 -> 15 [size =\"30413824\"]\n  13 [size=\"23674880\", alpha=\"0.11\", expect_size=\"7102464\"] \n  14 [size=\"18391040\", alpha=\"0.02\", expect_size=\"5517312\"] \n  15 [size=\"103256747\", alpha=\"0.19\", expect_size=\"30977024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103188480\", alpha=\"0.00\", expect_size=\"30956544\"] \n  1 -> 3 [size =\"30956544\"]\n  1 -> 4 [size =\"30956544\"]\n  2 [size=\"171185493\", alpha=\"0.05\", expect_size=\"51355648\"] \n  2 -> 3 [size =\"51355648\"]\n  2 -> 4 [size =\"51355648\"]\n  3 [size=\"23237973\", alpha=\"0.00\", expect_size=\"6971392\"] \n  3 -> 5 [size =\"6971392\"]\n  3 -> 6 [size =\"6971392\"]\n  4 [size=\"162334720\", alpha=\"0.15\", expect_size=\"48700416\"] \n  4 -> 5 [size =\"48700416\"]\n  4 -> 6 [size =\"48700416\"]\n  5 [size=\"37242880\", alpha=\"0.20\", expect_size=\"11172864\"] \n  6 [size=\"128914773\", alpha=\"0.09\", expect_size=\"38674432\"] \n  6 -> 7 [size =\"38674432\"]\n  6 -> 8 [size =\"38674432\"]\n  7 [size=\"113315840\", alpha=\"0.17\", expect_size=\"33994752\"] \n  7 -> 10 [size =\"33994752\"]\n  8 [size=\"152671573\", alpha=\"0.10\", expect_size=\"45801472\"] \n  8 -> 9 [size =\"45801472\"]\n  8 -> 10 [size =\"45801472\"]\n  9 [size=\"74960213\", alpha=\"0.09\", expect_size=\"22488064\"] \n  9 -> 12 [size =\"22488064\"]\n  10 [size=\"23278933\", alpha=\"0.01\", expect_size=\"6983680\"] \n  10 -> 11 [size =\"6983680\"]\n  10 -> 12 [size =\"6983680\"]\n  11 [size=\"105297920\", alpha=\"0.08\", expect_size=\"31589376\"] \n  11 -> 13 [size =\"31589376\"]\n  11 -> 14 [size =\"31589376\"]\n  12 [size=\"109069653\", alpha=\"0.06\", expect_size=\"32720896\"] \n  12 -> 13 [size =\"32720896\"]\n  12 -> 14 [size =\"32720896\"]\n  13 [size=\"145698133\", alpha=\"0.08\", expect_size=\"43709440\"] \n  13 -> 15 [size =\"43709440\"]\n  14 [size=\"148381013\", alpha=\"0.11\", expect_size=\"44514304\"] \n  15 [size=\"112377173\", alpha=\"0.15\", expect_size=\"33713152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48906240\", alpha=\"0.07\", expect_size=\"19562496\"] \n  1 -> 2 [size =\"19562496\"]\n  2 [size=\"74787840\", alpha=\"0.08\", expect_size=\"29915136\"] \n  2 -> 3 [size =\"29915136\"]\n  3 [size=\"125560320\", alpha=\"0.12\", expect_size=\"50224128\"] \n  3 -> 4 [size =\"50224128\"]\n  3 -> 5 [size =\"50224128\"]\n  4 [size=\"104537600\", alpha=\"0.18\", expect_size=\"41815040\"] \n  4 -> 6 [size =\"41815040\"]\n  4 -> 7 [size =\"41815040\"]\n  5 [size=\"66964480\", alpha=\"0.18\", expect_size=\"26785792\"] \n  5 -> 6 [size =\"26785792\"]\n  6 [size=\"17359360\", alpha=\"0.01\", expect_size=\"6943744\"] \n  6 -> 8 [size =\"6943744\"]\n  7 [size=\"130608640\", alpha=\"0.08\", expect_size=\"52243456\"] \n  7 -> 8 [size =\"52243456\"]\n  8 [size=\"52057600\", alpha=\"0.20\", expect_size=\"20823040\"] \n  8 -> 9 [size =\"20823040\"]\n  9 [size=\"115983360\", alpha=\"0.06\", expect_size=\"46393344\"] \n  9 -> 10 [size =\"46393344\"]\n  9 -> 11 [size =\"46393344\"]\n  10 [size=\"70504960\", alpha=\"0.07\", expect_size=\"28201984\"] \n  10 -> 13 [size =\"28201984\"]\n  11 [size=\"75983360\", alpha=\"0.11\", expect_size=\"30393344\"] \n  11 -> 12 [size =\"30393344\"]\n  11 -> 13 [size =\"30393344\"]\n  12 [size=\"116170240\", alpha=\"0.01\", expect_size=\"46468096\"] \n  12 -> 14 [size =\"46468096\"]\n  13 [size=\"43660800\", alpha=\"0.03\", expect_size=\"17464320\"] \n  13 -> 14 [size =\"17464320\"]\n  14 [size=\"114531840\", alpha=\"0.09\", expect_size=\"45812736\"] \n  14 -> 15 [size =\"45812736\"]\n  15 [size=\"103485440\", alpha=\"0.16\", expect_size=\"41394176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79247360\", alpha=\"0.14\", expect_size=\"31698944\"] \n  1 -> 6 [size =\"31698944\"]\n  2 [size=\"103733760\", alpha=\"0.11\", expect_size=\"41493504\"] \n  2 -> 4 [size =\"41493504\"]\n  3 [size=\"28037120\", alpha=\"0.19\", expect_size=\"11214848\"] \n  3 -> 4 [size =\"11214848\"]\n  3 -> 5 [size =\"11214848\"]\n  4 [size=\"13726720\", alpha=\"0.05\", expect_size=\"5490688\"] \n  4 -> 7 [size =\"5490688\"]\n  4 -> 8 [size =\"5490688\"]\n  5 [size=\"69829120\", alpha=\"0.18\", expect_size=\"27931648\"] \n  6 [size=\"121474560\", alpha=\"0.06\", expect_size=\"48589824\"] \n  6 -> 9 [size =\"48589824\"]\n  7 [size=\"36395520\", alpha=\"0.07\", expect_size=\"14558208\"] \n  7 -> 10 [size =\"14558208\"]\n  8 [size=\"125637120\", alpha=\"0.04\", expect_size=\"50254848\"] \n  9 [size=\"27471360\", alpha=\"0.16\", expect_size=\"10988544\"] \n  9 -> 10 [size =\"10988544\"]\n  9 -> 11 [size =\"10988544\"]\n  9 -> 12 [size =\"10988544\"]\n  10 [size=\"105308160\", alpha=\"0.11\", expect_size=\"42123264\"] \n  10 -> 13 [size =\"42123264\"]\n  10 -> 15 [size =\"42123264\"]\n  11 [size=\"94625280\", alpha=\"0.11\", expect_size=\"37850112\"] \n  12 [size=\"59694080\", alpha=\"0.06\", expect_size=\"23877632\"] \n  12 -> 14 [size =\"23877632\"]\n  13 [size=\"126300160\", alpha=\"0.15\", expect_size=\"50520064\"] \n  14 [size=\"119610880\", alpha=\"0.14\", expect_size=\"47844352\"] \n  15 [size=\"30835200\", alpha=\"0.03\", expect_size=\"12334080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37998592\", alpha=\"0.15\", expect_size=\"18999296\"] \n  2 [size=\"104685568\", alpha=\"0.16\", expect_size=\"52342784\"] \n  2 -> 14 [size =\"52342784\"]\n  2 -> 15 [size =\"52342784\"]\n  3 [size=\"92981248\", alpha=\"0.12\", expect_size=\"46490624\"] \n  3 -> 12 [size =\"46490624\"]\n  3 -> 14 [size =\"46490624\"]\n  3 -> 15 [size =\"46490624\"]\n  4 [size=\"52404224\", alpha=\"0.01\", expect_size=\"26202112\"] \n  4 -> 12 [size =\"26202112\"]\n  4 -> 13 [size =\"26202112\"]\n  4 -> 14 [size =\"26202112\"]\n  4 -> 15 [size =\"26202112\"]\n  5 [size=\"55879680\", alpha=\"0.02\", expect_size=\"27939840\"] \n  5 -> 12 [size =\"27939840\"]\n  6 [size=\"10532864\", alpha=\"0.15\", expect_size=\"5266432\"] \n  6 -> 12 [size =\"5266432\"]\n  6 -> 13 [size =\"5266432\"]\n  6 -> 14 [size =\"5266432\"]\n  6 -> 15 [size =\"5266432\"]\n  7 [size=\"15472640\", alpha=\"0.04\", expect_size=\"7736320\"] \n  7 -> 13 [size =\"7736320\"]\n  7 -> 15 [size =\"7736320\"]\n  8 [size=\"50812928\", alpha=\"0.16\", expect_size=\"25406464\"] \n  8 -> 12 [size =\"25406464\"]\n  8 -> 13 [size =\"25406464\"]\n  9 [size=\"91559936\", alpha=\"0.18\", expect_size=\"45779968\"] \n  9 -> 12 [size =\"45779968\"]\n  9 -> 13 [size =\"45779968\"]\n  9 -> 14 [size =\"45779968\"]\n  9 -> 15 [size =\"45779968\"]\n  10 [size=\"32460800\", alpha=\"0.14\", expect_size=\"16230400\"] \n  10 -> 12 [size =\"16230400\"]\n  10 -> 13 [size =\"16230400\"]\n  10 -> 14 [size =\"16230400\"]\n  10 -> 15 [size =\"16230400\"]\n  11 [size=\"78094336\", alpha=\"0.11\", expect_size=\"39047168\"] \n  11 -> 12 [size =\"39047168\"]\n  11 -> 15 [size =\"39047168\"]\n  12 [size=\"56852480\", alpha=\"0.07\", expect_size=\"28426240\"] \n  13 [size=\"37142528\", alpha=\"0.05\", expect_size=\"18571264\"] \n  14 [size=\"91938816\", alpha=\"0.00\", expect_size=\"45969408\"] \n  15 [size=\"96073728\", alpha=\"0.17\", expect_size=\"48036864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119219200\", alpha=\"0.03\", expect_size=\"47687680\"] \n  1 -> 8 [size =\"47687680\"]\n  1 -> 9 [size =\"47687680\"]\n  1 -> 10 [size =\"47687680\"]\n  1 -> 11 [size =\"47687680\"]\n  1 -> 12 [size =\"47687680\"]\n  1 -> 13 [size =\"47687680\"]\n  1 -> 14 [size =\"47687680\"]\n  1 -> 15 [size =\"47687680\"]\n  2 [size=\"124372480\", alpha=\"0.18\", expect_size=\"49748992\"] \n  2 -> 9 [size =\"49748992\"]\n  2 -> 9 [size =\"49748992\"]\n  2 -> 11 [size =\"49748992\"]\n  2 -> 12 [size =\"49748992\"]\n  2 -> 14 [size =\"49748992\"]\n  3 [size=\"70835200\", alpha=\"0.12\", expect_size=\"28334080\"] \n  3 -> 8 [size =\"28334080\"]\n  3 -> 9 [size =\"28334080\"]\n  3 -> 11 [size =\"28334080\"]\n  3 -> 12 [size =\"28334080\"]\n  4 [size=\"104322560\", alpha=\"0.13\", expect_size=\"41729024\"] \n  4 -> 12 [size =\"41729024\"]\n  5 [size=\"127618560\", alpha=\"0.10\", expect_size=\"51047424\"] \n  5 -> 10 [size =\"51047424\"]\n  6 [size=\"17469440\", alpha=\"0.11\", expect_size=\"6987776\"] \n  7 [size=\"37552640\", alpha=\"0.12\", expect_size=\"15021056\"] \n  7 -> 8 [size =\"15021056\"]\n  7 -> 10 [size =\"15021056\"]\n  7 -> 11 [size =\"15021056\"]\n  7 -> 14 [size =\"15021056\"]\n  8 [size=\"93463040\", alpha=\"0.05\", expect_size=\"37385216\"] \n  9 [size=\"47613440\", alpha=\"0.12\", expect_size=\"19045376\"] \n  10 [size=\"57582080\", alpha=\"0.12\", expect_size=\"23032832\"] \n  11 [size=\"94461440\", alpha=\"0.12\", expect_size=\"37784576\"] \n  12 [size=\"111715840\", alpha=\"0.02\", expect_size=\"44686336\"] \n  13 [size=\"98142720\", alpha=\"0.03\", expect_size=\"39257088\"] \n  14 [size=\"51397120\", alpha=\"0.15\", expect_size=\"20558848\"] \n  15 [size=\"128307200\", alpha=\"0.11\", expect_size=\"51322880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54398293\", alpha=\"0.12\", expect_size=\"16319488\"] \n  1 -> 3 [size =\"16319488\"]\n  2 [size=\"77301760\", alpha=\"0.09\", expect_size=\"23190528\"] \n  2 -> 3 [size =\"23190528\"]\n  3 [size=\"128433493\", alpha=\"0.11\", expect_size=\"38530048\"] \n  3 -> 4 [size =\"38530048\"]\n  3 -> 5 [size =\"38530048\"]\n  4 [size=\"34068480\", alpha=\"0.17\", expect_size=\"10220544\"] \n  4 -> 6 [size =\"10220544\"]\n  5 [size=\"133270187\", alpha=\"0.18\", expect_size=\"39981056\"] \n  6 [size=\"46912853\", alpha=\"0.14\", expect_size=\"14073856\"] \n  6 -> 7 [size =\"14073856\"]\n  6 -> 8 [size =\"14073856\"]\n  7 [size=\"123347627\", alpha=\"0.00\", expect_size=\"37004288\"] \n  7 -> 9 [size =\"37004288\"]\n  8 [size=\"35840000\", alpha=\"0.03\", expect_size=\"10752000\"] \n  8 -> 9 [size =\"10752000\"]\n  9 [size=\"115244373\", alpha=\"0.13\", expect_size=\"34573312\"] \n  9 -> 10 [size =\"34573312\"]\n  9 -> 11 [size =\"34573312\"]\n  10 [size=\"18483200\", alpha=\"0.12\", expect_size=\"5544960\"] \n  10 -> 12 [size =\"5544960\"]\n  10 -> 13 [size =\"5544960\"]\n  11 [size=\"112885760\", alpha=\"0.05\", expect_size=\"33865728\"] \n  11 -> 12 [size =\"33865728\"]\n  11 -> 13 [size =\"33865728\"]\n  12 [size=\"49445547\", alpha=\"0.10\", expect_size=\"14833664\"] \n  12 -> 14 [size =\"14833664\"]\n  12 -> 15 [size =\"14833664\"]\n  13 [size=\"120743253\", alpha=\"0.07\", expect_size=\"36222976\"] \n  13 -> 15 [size =\"36222976\"]\n  14 [size=\"52241067\", alpha=\"0.15\", expect_size=\"15672320\"] \n  15 [size=\"28709547\", alpha=\"0.05\", expect_size=\"8612864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83259392\", alpha=\"0.16\", expect_size=\"41629696\"] \n  1 -> 6 [size =\"41629696\"]\n  1 -> 8 [size =\"41629696\"]\n  1 -> 9 [size =\"41629696\"]\n  1 -> 11 [size =\"41629696\"]\n  1 -> 12 [size =\"41629696\"]\n  2 [size=\"50837504\", alpha=\"0.04\", expect_size=\"25418752\"] \n  2 -> 6 [size =\"25418752\"]\n  2 -> 7 [size =\"25418752\"]\n  2 -> 8 [size =\"25418752\"]\n  2 -> 9 [size =\"25418752\"]\n  2 -> 10 [size =\"25418752\"]\n  2 -> 11 [size =\"25418752\"]\n  2 -> 12 [size =\"25418752\"]\n  3 [size=\"95348736\", alpha=\"0.08\", expect_size=\"47674368\"] \n  3 -> 6 [size =\"47674368\"]\n  3 -> 7 [size =\"47674368\"]\n  3 -> 9 [size =\"47674368\"]\n  3 -> 10 [size =\"47674368\"]\n  3 -> 12 [size =\"47674368\"]\n  4 [size=\"74385408\", alpha=\"0.19\", expect_size=\"37192704\"] \n  4 -> 6 [size =\"37192704\"]\n  4 -> 9 [size =\"37192704\"]\n  4 -> 10 [size =\"37192704\"]\n  4 -> 11 [size =\"37192704\"]\n  4 -> 12 [size =\"37192704\"]\n  5 [size=\"21585920\", alpha=\"0.12\", expect_size=\"10792960\"] \n  5 -> 6 [size =\"10792960\"]\n  5 -> 9 [size =\"10792960\"]\n  5 -> 10 [size =\"10792960\"]\n  5 -> 12 [size =\"10792960\"]\n  6 [size=\"103297024\", alpha=\"0.20\", expect_size=\"51648512\"] \n  6 -> 13 [size =\"51648512\"]\n  6 -> 14 [size =\"51648512\"]\n  7 [size=\"42057728\", alpha=\"0.03\", expect_size=\"21028864\"] \n  7 -> 14 [size =\"21028864\"]\n  8 [size=\"23154688\", alpha=\"0.02\", expect_size=\"11577344\"] \n  8 -> 14 [size =\"11577344\"]\n  8 -> 15 [size =\"11577344\"]\n  9 [size=\"62357504\", alpha=\"0.02\", expect_size=\"31178752\"] \n  9 -> 13 [size =\"31178752\"]\n  9 -> 15 [size =\"31178752\"]\n  10 [size=\"88956928\", alpha=\"0.02\", expect_size=\"44478464\"] \n  10 -> 13 [size =\"44478464\"]\n  10 -> 14 [size =\"44478464\"]\n  10 -> 15 [size =\"44478464\"]\n  11 [size=\"99033088\", alpha=\"0.19\", expect_size=\"49516544\"] \n  11 -> 14 [size =\"49516544\"]\n  11 -> 15 [size =\"49516544\"]\n  12 [size=\"82282496\", alpha=\"0.00\", expect_size=\"41141248\"] \n  13 [size=\"101775360\", alpha=\"0.13\", expect_size=\"50887680\"] \n  14 [size=\"46577664\", alpha=\"0.10\", expect_size=\"23288832\"] \n  15 [size=\"39995392\", alpha=\"0.04\", expect_size=\"19997696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119985493\", alpha=\"0.06\", expect_size=\"35995648\"] \n  2 [size=\"28641280\", alpha=\"0.05\", expect_size=\"8592384\"] \n  2 -> 4 [size =\"8592384\"]\n  2 -> 6 [size =\"8592384\"]\n  3 [size=\"172004693\", alpha=\"0.08\", expect_size=\"51601408\"] \n  3 -> 5 [size =\"51601408\"]\n  4 [size=\"102406827\", alpha=\"0.02\", expect_size=\"30722048\"] \n  5 [size=\"76199253\", alpha=\"0.03\", expect_size=\"22859776\"] \n  5 -> 7 [size =\"22859776\"]\n  6 [size=\"166396587\", alpha=\"0.18\", expect_size=\"49918976\"] \n  6 -> 7 [size =\"49918976\"]\n  6 -> 8 [size =\"49918976\"]\n  6 -> 9 [size =\"49918976\"]\n  7 [size=\"111458987\", alpha=\"0.01\", expect_size=\"33437696\"] \n  8 [size=\"166099627\", alpha=\"0.15\", expect_size=\"49829888\"] \n  8 -> 11 [size =\"49829888\"]\n  8 -> 12 [size =\"49829888\"]\n  9 [size=\"28153173\", alpha=\"0.11\", expect_size=\"8445952\"] \n  9 -> 10 [size =\"8445952\"]\n  10 [size=\"140130987\", alpha=\"0.15\", expect_size=\"42039296\"] \n  10 -> 13 [size =\"42039296\"]\n  11 [size=\"102983680\", alpha=\"0.18\", expect_size=\"30895104\"] \n  12 [size=\"152842240\", alpha=\"0.02\", expect_size=\"45852672\"] \n  12 -> 13 [size =\"45852672\"]\n  12 -> 14 [size =\"45852672\"]\n  13 [size=\"33006933\", alpha=\"0.11\", expect_size=\"9902080\"] \n  13 -> 15 [size =\"9902080\"]\n  14 [size=\"97870507\", alpha=\"0.02\", expect_size=\"29361152\"] \n  15 [size=\"115626667\", alpha=\"0.13\", expect_size=\"34688000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15390720\", alpha=\"0.14\", expect_size=\"7695360\"] \n  1 -> 10 [size =\"7695360\"]\n  1 -> 11 [size =\"7695360\"]\n  1 -> 13 [size =\"7695360\"]\n  1 -> 14 [size =\"7695360\"]\n  2 [size=\"92786688\", alpha=\"0.09\", expect_size=\"46393344\"] \n  2 -> 9 [size =\"46393344\"]\n  2 -> 11 [size =\"46393344\"]\n  3 [size=\"80168960\", alpha=\"0.11\", expect_size=\"40084480\"] \n  4 [size=\"37179392\", alpha=\"0.18\", expect_size=\"18589696\"] \n  4 -> 9 [size =\"18589696\"]\n  5 [size=\"53594112\", alpha=\"0.13\", expect_size=\"26797056\"] \n  5 -> 9 [size =\"26797056\"]\n  5 -> 10 [size =\"26797056\"]\n  5 -> 11 [size =\"26797056\"]\n  5 -> 13 [size =\"26797056\"]\n  6 [size=\"81946624\", alpha=\"0.06\", expect_size=\"40973312\"] \n  6 -> 9 [size =\"40973312\"]\n  6 -> 13 [size =\"40973312\"]\n  7 [size=\"15456256\", alpha=\"0.13\", expect_size=\"7728128\"] \n  7 -> 12 [size =\"7728128\"]\n  8 [size=\"62783488\", alpha=\"0.19\", expect_size=\"31391744\"] \n  8 -> 10 [size =\"31391744\"]\n  8 -> 14 [size =\"31391744\"]\n  9 [size=\"41965568\", alpha=\"0.17\", expect_size=\"20982784\"] \n  10 [size=\"85790720\", alpha=\"0.10\", expect_size=\"42895360\"] \n  11 [size=\"68595712\", alpha=\"0.12\", expect_size=\"34297856\"] \n  12 [size=\"40890368\", alpha=\"0.07\", expect_size=\"20445184\"] \n  13 [size=\"81408000\", alpha=\"0.00\", expect_size=\"40704000\"] \n  13 -> 15 [size =\"40704000\"]\n  14 [size=\"40243200\", alpha=\"0.02\", expect_size=\"20121600\"] \n  15 [size=\"30629888\", alpha=\"0.10\", expect_size=\"15314944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122273280\", alpha=\"0.20\", expect_size=\"48909312\"] \n  1 -> 15 [size =\"48909312\"]\n  2 [size=\"30873600\", alpha=\"0.17\", expect_size=\"12349440\"] \n  2 -> 15 [size =\"12349440\"]\n  3 [size=\"18193920\", alpha=\"0.14\", expect_size=\"7277568\"] \n  3 -> 14 [size =\"7277568\"]\n  4 [size=\"118172160\", alpha=\"0.13\", expect_size=\"47268864\"] \n  4 -> 13 [size =\"47268864\"]\n  4 -> 14 [size =\"47268864\"]\n  4 -> 15 [size =\"47268864\"]\n  5 [size=\"117468160\", alpha=\"0.16\", expect_size=\"46987264\"] \n  5 -> 13 [size =\"46987264\"]\n  5 -> 14 [size =\"46987264\"]\n  6 [size=\"33973760\", alpha=\"0.04\", expect_size=\"13589504\"] \n  6 -> 13 [size =\"13589504\"]\n  6 -> 14 [size =\"13589504\"]\n  7 [size=\"122485760\", alpha=\"0.13\", expect_size=\"48994304\"] \n  7 -> 12 [size =\"48994304\"]\n  7 -> 14 [size =\"48994304\"]\n  8 [size=\"58841600\", alpha=\"0.11\", expect_size=\"23536640\"] \n  8 -> 14 [size =\"23536640\"]\n  9 [size=\"117409280\", alpha=\"0.00\", expect_size=\"46963712\"] \n  9 -> 13 [size =\"46963712\"]\n  9 -> 14 [size =\"46963712\"]\n  10 [size=\"14028800\", alpha=\"0.13\", expect_size=\"5611520\"] \n  10 -> 13 [size =\"5611520\"]\n  11 [size=\"66101760\", alpha=\"0.16\", expect_size=\"26440704\"] \n  11 -> 14 [size =\"26440704\"]\n  12 [size=\"64245760\", alpha=\"0.18\", expect_size=\"25698304\"] \n  13 [size=\"44490240\", alpha=\"0.07\", expect_size=\"17796096\"] \n  14 [size=\"126520320\", alpha=\"0.09\", expect_size=\"50608128\"] \n  15 [size=\"87160320\", alpha=\"0.16\", expect_size=\"34864128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114889387\", alpha=\"0.04\", expect_size=\"34466816\"] \n  1 -> 12 [size =\"34466816\"]\n  1 -> 15 [size =\"34466816\"]\n  2 [size=\"38700373\", alpha=\"0.06\", expect_size=\"11610112\"] \n  2 -> 15 [size =\"11610112\"]\n  3 [size=\"140649813\", alpha=\"0.14\", expect_size=\"42194944\"] \n  3 -> 12 [size =\"42194944\"]\n  3 -> 13 [size =\"42194944\"]\n  3 -> 15 [size =\"42194944\"]\n  4 [size=\"69324800\", alpha=\"0.12\", expect_size=\"20797440\"] \n  4 -> 14 [size =\"20797440\"]\n  5 [size=\"166775467\", alpha=\"0.19\", expect_size=\"50032640\"] \n  5 -> 12 [size =\"50032640\"]\n  5 -> 14 [size =\"50032640\"]\n  6 [size=\"28067840\", alpha=\"0.13\", expect_size=\"8420352\"] \n  6 -> 15 [size =\"8420352\"]\n  7 [size=\"100519253\", alpha=\"0.17\", expect_size=\"30155776\"] \n  7 -> 14 [size =\"30155776\"]\n  8 [size=\"164164267\", alpha=\"0.17\", expect_size=\"49249280\"] \n  8 -> 12 [size =\"49249280\"]\n  9 [size=\"98068480\", alpha=\"0.08\", expect_size=\"29420544\"] \n  9 -> 14 [size =\"29420544\"]\n  9 -> 15 [size =\"29420544\"]\n  10 [size=\"40024747\", alpha=\"0.06\", expect_size=\"12007424\"] \n  10 -> 12 [size =\"12007424\"]\n  10 -> 14 [size =\"12007424\"]\n  10 -> 15 [size =\"12007424\"]\n  11 [size=\"55889920\", alpha=\"0.16\", expect_size=\"16766976\"] \n  11 -> 12 [size =\"16766976\"]\n  11 -> 15 [size =\"16766976\"]\n  12 [size=\"88261973\", alpha=\"0.12\", expect_size=\"26478592\"] \n  13 [size=\"132642133\", alpha=\"0.15\", expect_size=\"39792640\"] \n  14 [size=\"89265493\", alpha=\"0.09\", expect_size=\"26779648\"] \n  15 [size=\"28542293\", alpha=\"0.20\", expect_size=\"8562688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111275520\", alpha=\"0.12\", expect_size=\"44510208\"] \n  1 -> 7 [size =\"44510208\"]\n  2 [size=\"50373120\", alpha=\"0.03\", expect_size=\"20149248\"] \n  2 -> 6 [size =\"20149248\"]\n  2 -> 8 [size =\"20149248\"]\n  2 -> 9 [size =\"20149248\"]\n  3 [size=\"22159360\", alpha=\"0.14\", expect_size=\"8863744\"] \n  3 -> 9 [size =\"8863744\"]\n  3 -> 11 [size =\"8863744\"]\n  4 [size=\"117824000\", alpha=\"0.07\", expect_size=\"47129600\"] \n  4 -> 6 [size =\"47129600\"]\n  4 -> 9 [size =\"47129600\"]\n  4 -> 10 [size =\"47129600\"]\n  5 [size=\"106872320\", alpha=\"0.04\", expect_size=\"42748928\"] \n  5 -> 6 [size =\"42748928\"]\n  6 [size=\"16616960\", alpha=\"0.11\", expect_size=\"6646784\"] \n  6 -> 14 [size =\"6646784\"]\n  7 [size=\"44876800\", alpha=\"0.03\", expect_size=\"17950720\"] \n  7 -> 12 [size =\"17950720\"]\n  7 -> 14 [size =\"17950720\"]\n  7 -> 15 [size =\"17950720\"]\n  8 [size=\"68828160\", alpha=\"0.06\", expect_size=\"27531264\"] \n  9 [size=\"85706240\", alpha=\"0.13\", expect_size=\"34282496\"] \n  9 -> 12 [size =\"34282496\"]\n  9 -> 13 [size =\"34282496\"]\n  9 -> 15 [size =\"34282496\"]\n  10 [size=\"102988800\", alpha=\"0.08\", expect_size=\"41195520\"] \n  11 [size=\"47352320\", alpha=\"0.15\", expect_size=\"18940928\"] \n  11 -> 15 [size =\"18940928\"]\n  12 [size=\"116915200\", alpha=\"0.13\", expect_size=\"46766080\"] \n  13 [size=\"16806400\", alpha=\"0.08\", expect_size=\"6722560\"] \n  14 [size=\"100743680\", alpha=\"0.13\", expect_size=\"40297472\"] \n  15 [size=\"25815040\", alpha=\"0.16\", expect_size=\"10326016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61097984\", alpha=\"0.07\", expect_size=\"30548992\"] \n  1 -> 2 [size =\"30548992\"]\n  2 [size=\"43427840\", alpha=\"0.10\", expect_size=\"21713920\"] \n  2 -> 3 [size =\"21713920\"]\n  2 -> 4 [size =\"21713920\"]\n  3 [size=\"32362496\", alpha=\"0.17\", expect_size=\"16181248\"] \n  3 -> 5 [size =\"16181248\"]\n  4 [size=\"30724096\", alpha=\"0.09\", expect_size=\"15362048\"] \n  5 [size=\"45398016\", alpha=\"0.20\", expect_size=\"22699008\"] \n  5 -> 6 [size =\"22699008\"]\n  6 [size=\"78528512\", alpha=\"0.07\", expect_size=\"39264256\"] \n  6 -> 7 [size =\"39264256\"]\n  6 -> 8 [size =\"39264256\"]\n  7 [size=\"82298880\", alpha=\"0.09\", expect_size=\"41149440\"] \n  7 -> 9 [size =\"41149440\"]\n  8 [size=\"91152384\", alpha=\"0.18\", expect_size=\"45576192\"] \n  8 -> 10 [size =\"45576192\"]\n  9 [size=\"17590272\", alpha=\"0.09\", expect_size=\"8795136\"] \n  10 [size=\"18794496\", alpha=\"0.14\", expect_size=\"9397248\"] \n  10 -> 11 [size =\"9397248\"]\n  11 [size=\"88008704\", alpha=\"0.18\", expect_size=\"44004352\"] \n  11 -> 12 [size =\"44004352\"]\n  12 [size=\"28893184\", alpha=\"0.02\", expect_size=\"14446592\"] \n  12 -> 13 [size =\"14446592\"]\n  13 [size=\"77479936\", alpha=\"0.01\", expect_size=\"38739968\"] \n  13 -> 14 [size =\"38739968\"]\n  13 -> 15 [size =\"38739968\"]\n  14 [size=\"61911040\", alpha=\"0.18\", expect_size=\"30955520\"] \n  15 [size=\"10956800\", alpha=\"0.17\", expect_size=\"5478400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70303744\", alpha=\"0.05\", expect_size=\"35151872\"] \n  1 -> 2 [size =\"35151872\"]\n  2 [size=\"39100416\", alpha=\"0.17\", expect_size=\"19550208\"] \n  2 -> 3 [size =\"19550208\"]\n  3 [size=\"56438784\", alpha=\"0.12\", expect_size=\"28219392\"] \n  3 -> 4 [size =\"28219392\"]\n  4 [size=\"47429632\", alpha=\"0.03\", expect_size=\"23714816\"] \n  4 -> 5 [size =\"23714816\"]\n  5 [size=\"48054272\", alpha=\"0.18\", expect_size=\"24027136\"] \n  5 -> 6 [size =\"24027136\"]\n  6 [size=\"79048704\", alpha=\"0.06\", expect_size=\"39524352\"] \n  6 -> 7 [size =\"39524352\"]\n  7 [size=\"101562368\", alpha=\"0.08\", expect_size=\"50781184\"] \n  7 -> 8 [size =\"50781184\"]\n  8 [size=\"51777536\", alpha=\"0.10\", expect_size=\"25888768\"] \n  8 -> 9 [size =\"25888768\"]\n  9 [size=\"86949888\", alpha=\"0.15\", expect_size=\"43474944\"] \n  9 -> 10 [size =\"43474944\"]\n  10 [size=\"26394624\", alpha=\"0.14\", expect_size=\"13197312\"] \n  10 -> 11 [size =\"13197312\"]\n  11 [size=\"57567232\", alpha=\"0.12\", expect_size=\"28783616\"] \n  11 -> 12 [size =\"28783616\"]\n  12 [size=\"81928192\", alpha=\"0.15\", expect_size=\"40964096\"] \n  12 -> 13 [size =\"40964096\"]\n  13 [size=\"68403200\", alpha=\"0.12\", expect_size=\"34201600\"] \n  13 -> 14 [size =\"34201600\"]\n  14 [size=\"31537152\", alpha=\"0.01\", expect_size=\"15768576\"] \n  14 -> 15 [size =\"15768576\"]\n  15 [size=\"44488704\", alpha=\"0.12\", expect_size=\"22244352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62431232\", alpha=\"0.16\", expect_size=\"31215616\"] \n  1 -> 2 [size =\"31215616\"]\n  2 [size=\"75315200\", alpha=\"0.00\", expect_size=\"37657600\"] \n  2 -> 3 [size =\"37657600\"]\n  3 [size=\"66420736\", alpha=\"0.07\", expect_size=\"33210368\"] \n  3 -> 4 [size =\"33210368\"]\n  4 [size=\"43333632\", alpha=\"0.11\", expect_size=\"21666816\"] \n  4 -> 5 [size =\"21666816\"]\n  5 [size=\"37541888\", alpha=\"0.10\", expect_size=\"18770944\"] \n  5 -> 6 [size =\"18770944\"]\n  6 [size=\"100747264\", alpha=\"0.15\", expect_size=\"50373632\"] \n  6 -> 7 [size =\"50373632\"]\n  7 [size=\"86040576\", alpha=\"0.14\", expect_size=\"43020288\"] \n  7 -> 8 [size =\"43020288\"]\n  8 [size=\"30793728\", alpha=\"0.18\", expect_size=\"15396864\"] \n  8 -> 9 [size =\"15396864\"]\n  9 [size=\"29306880\", alpha=\"0.03\", expect_size=\"14653440\"] \n  9 -> 10 [size =\"14653440\"]\n  10 [size=\"46563328\", alpha=\"0.05\", expect_size=\"23281664\"] \n  10 -> 11 [size =\"23281664\"]\n  11 [size=\"29042688\", alpha=\"0.10\", expect_size=\"14521344\"] \n  11 -> 12 [size =\"14521344\"]\n  12 [size=\"103366656\", alpha=\"0.19\", expect_size=\"51683328\"] \n  12 -> 13 [size =\"51683328\"]\n  13 [size=\"103583744\", alpha=\"0.04\", expect_size=\"51791872\"] \n  13 -> 14 [size =\"51791872\"]\n  14 [size=\"42465280\", alpha=\"0.02\", expect_size=\"21232640\"] \n  14 -> 15 [size =\"21232640\"]\n  15 [size=\"95059968\", alpha=\"0.07\", expect_size=\"47529984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34727936\", alpha=\"0.00\", expect_size=\"17363968\"] \n  1 -> 2 [size =\"17363968\"]\n  1 -> 3 [size =\"17363968\"]\n  2 [size=\"67264512\", alpha=\"0.16\", expect_size=\"33632256\"] \n  2 -> 4 [size =\"33632256\"]\n  2 -> 5 [size =\"33632256\"]\n  3 [size=\"102615040\", alpha=\"0.16\", expect_size=\"51307520\"] \n  3 -> 4 [size =\"51307520\"]\n  3 -> 5 [size =\"51307520\"]\n  4 [size=\"18135040\", alpha=\"0.13\", expect_size=\"9067520\"] \n  4 -> 6 [size =\"9067520\"]\n  4 -> 7 [size =\"9067520\"]\n  5 [size=\"30308352\", alpha=\"0.12\", expect_size=\"15154176\"] \n  5 -> 6 [size =\"15154176\"]\n  5 -> 7 [size =\"15154176\"]\n  6 [size=\"40445952\", alpha=\"0.20\", expect_size=\"20222976\"] \n  6 -> 8 [size =\"20222976\"]\n  7 [size=\"28348416\", alpha=\"0.13\", expect_size=\"14174208\"] \n  7 -> 8 [size =\"14174208\"]\n  8 [size=\"29503488\", alpha=\"0.04\", expect_size=\"14751744\"] \n  8 -> 9 [size =\"14751744\"]\n  9 [size=\"24872960\", alpha=\"0.11\", expect_size=\"12436480\"] \n  9 -> 10 [size =\"12436480\"]\n  9 -> 11 [size =\"12436480\"]\n  10 [size=\"58636288\", alpha=\"0.06\", expect_size=\"29318144\"] \n  10 -> 13 [size =\"29318144\"]\n  11 [size=\"20590592\", alpha=\"0.12\", expect_size=\"10295296\"] \n  11 -> 12 [size =\"10295296\"]\n  11 -> 13 [size =\"10295296\"]\n  12 [size=\"21377024\", alpha=\"0.06\", expect_size=\"10688512\"] \n  12 -> 14 [size =\"10688512\"]\n  12 -> 15 [size =\"10688512\"]\n  13 [size=\"96808960\", alpha=\"0.18\", expect_size=\"48404480\"] \n  13 -> 14 [size =\"48404480\"]\n  13 -> 15 [size =\"48404480\"]\n  14 [size=\"79628288\", alpha=\"0.04\", expect_size=\"39814144\"] \n  15 [size=\"46503936\", alpha=\"0.17\", expect_size=\"23251968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39084032\", alpha=\"0.08\", expect_size=\"19542016\"] \n  1 -> 3 [size =\"19542016\"]\n  1 -> 4 [size =\"19542016\"]\n  2 [size=\"84144128\", alpha=\"0.18\", expect_size=\"42072064\"] \n  2 -> 3 [size =\"42072064\"]\n  2 -> 4 [size =\"42072064\"]\n  3 [size=\"53811200\", alpha=\"0.09\", expect_size=\"26905600\"] \n  3 -> 5 [size =\"26905600\"]\n  4 [size=\"21774336\", alpha=\"0.16\", expect_size=\"10887168\"] \n  4 -> 5 [size =\"10887168\"]\n  5 [size=\"17156096\", alpha=\"0.15\", expect_size=\"8578048\"] \n  5 -> 6 [size =\"8578048\"]\n  5 -> 7 [size =\"8578048\"]\n  6 [size=\"85929984\", alpha=\"0.11\", expect_size=\"42964992\"] \n  6 -> 8 [size =\"42964992\"]\n  7 [size=\"19755008\", alpha=\"0.08\", expect_size=\"9877504\"] \n  8 [size=\"12179456\", alpha=\"0.09\", expect_size=\"6089728\"] \n  8 -> 9 [size =\"6089728\"]\n  8 -> 10 [size =\"6089728\"]\n  9 [size=\"62382080\", alpha=\"0.05\", expect_size=\"31191040\"] \n  9 -> 11 [size =\"31191040\"]\n  10 [size=\"102459392\", alpha=\"0.09\", expect_size=\"51229696\"] \n  10 -> 11 [size =\"51229696\"]\n  11 [size=\"47894528\", alpha=\"0.06\", expect_size=\"23947264\"] \n  11 -> 12 [size =\"23947264\"]\n  11 -> 13 [size =\"23947264\"]\n  12 [size=\"85547008\", alpha=\"0.01\", expect_size=\"42773504\"] \n  12 -> 14 [size =\"42773504\"]\n  13 [size=\"75085824\", alpha=\"0.18\", expect_size=\"37542912\"] \n  13 -> 14 [size =\"37542912\"]\n  14 [size=\"24115200\", alpha=\"0.14\", expect_size=\"12057600\"] \n  14 -> 15 [size =\"12057600\"]\n  15 [size=\"100507648\", alpha=\"0.01\", expect_size=\"50253824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83376640\", alpha=\"0.13\", expect_size=\"33350656\"] \n  1 -> 2 [size =\"33350656\"]\n  2 [size=\"37544960\", alpha=\"0.15\", expect_size=\"15017984\"] \n  2 -> 3 [size =\"15017984\"]\n  2 -> 4 [size =\"15017984\"]\n  3 [size=\"109283840\", alpha=\"0.18\", expect_size=\"43713536\"] \n  3 -> 5 [size =\"43713536\"]\n  3 -> 6 [size =\"43713536\"]\n  4 [size=\"54983680\", alpha=\"0.09\", expect_size=\"21993472\"] \n  4 -> 5 [size =\"21993472\"]\n  4 -> 6 [size =\"21993472\"]\n  5 [size=\"122662400\", alpha=\"0.12\", expect_size=\"49064960\"] \n  5 -> 7 [size =\"49064960\"]\n  5 -> 8 [size =\"49064960\"]\n  6 [size=\"100218880\", alpha=\"0.07\", expect_size=\"40087552\"] \n  6 -> 7 [size =\"40087552\"]\n  7 [size=\"128120320\", alpha=\"0.08\", expect_size=\"51248128\"] \n  7 -> 9 [size =\"51248128\"]\n  7 -> 10 [size =\"51248128\"]\n  8 [size=\"33244160\", alpha=\"0.13\", expect_size=\"13297664\"] \n  8 -> 9 [size =\"13297664\"]\n  9 [size=\"111477760\", alpha=\"0.04\", expect_size=\"44591104\"] \n  9 -> 11 [size =\"44591104\"]\n  10 [size=\"81185280\", alpha=\"0.03\", expect_size=\"32474112\"] \n  10 -> 11 [size =\"32474112\"]\n  10 -> 12 [size =\"32474112\"]\n  11 [size=\"119119360\", alpha=\"0.20\", expect_size=\"47647744\"] \n  11 -> 13 [size =\"47647744\"]\n  11 -> 14 [size =\"47647744\"]\n  12 [size=\"78940160\", alpha=\"0.18\", expect_size=\"31576064\"] \n  12 -> 14 [size =\"31576064\"]\n  13 [size=\"51816960\", alpha=\"0.04\", expect_size=\"20726784\"] \n  13 -> 15 [size =\"20726784\"]\n  14 [size=\"37708800\", alpha=\"0.03\", expect_size=\"15083520\"] \n  15 [size=\"90199040\", alpha=\"0.13\", expect_size=\"36079616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32520192\", alpha=\"0.18\", expect_size=\"16260096\"] \n  1 -> 2 [size =\"16260096\"]\n  2 [size=\"80312320\", alpha=\"0.12\", expect_size=\"40156160\"] \n  2 -> 3 [size =\"40156160\"]\n  3 [size=\"60981248\", alpha=\"0.16\", expect_size=\"30490624\"] \n  3 -> 4 [size =\"30490624\"]\n  4 [size=\"28862464\", alpha=\"0.05\", expect_size=\"14431232\"] \n  4 -> 5 [size =\"14431232\"]\n  5 [size=\"91832320\", alpha=\"0.01\", expect_size=\"45916160\"] \n  5 -> 6 [size =\"45916160\"]\n  6 [size=\"95168512\", alpha=\"0.02\", expect_size=\"47584256\"] \n  6 -> 7 [size =\"47584256\"]\n  7 [size=\"73144320\", alpha=\"0.00\", expect_size=\"36572160\"] \n  7 -> 8 [size =\"36572160\"]\n  8 [size=\"90374144\", alpha=\"0.01\", expect_size=\"45187072\"] \n  8 -> 9 [size =\"45187072\"]\n  9 [size=\"83746816\", alpha=\"0.08\", expect_size=\"41873408\"] \n  9 -> 10 [size =\"41873408\"]\n  10 [size=\"81840128\", alpha=\"0.08\", expect_size=\"40920064\"] \n  10 -> 11 [size =\"40920064\"]\n  11 [size=\"58173440\", alpha=\"0.12\", expect_size=\"29086720\"] \n  11 -> 12 [size =\"29086720\"]\n  12 [size=\"49119232\", alpha=\"0.07\", expect_size=\"24559616\"] \n  12 -> 13 [size =\"24559616\"]\n  13 [size=\"104230912\", alpha=\"0.15\", expect_size=\"52115456\"] \n  13 -> 14 [size =\"52115456\"]\n  14 [size=\"87681024\", alpha=\"0.10\", expect_size=\"43840512\"] \n  14 -> 15 [size =\"43840512\"]\n  15 [size=\"15908864\", alpha=\"0.09\", expect_size=\"7954432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55347200\", alpha=\"0.16\", expect_size=\"22138880\"] \n  1 -> 3 [size =\"22138880\"]\n  1 -> 4 [size =\"22138880\"]\n  2 [size=\"82590720\", alpha=\"0.13\", expect_size=\"33036288\"] \n  3 [size=\"77537280\", alpha=\"0.12\", expect_size=\"31014912\"] \n  4 [size=\"82421760\", alpha=\"0.03\", expect_size=\"32968704\"] \n  4 -> 5 [size =\"32968704\"]\n  5 [size=\"105576960\", alpha=\"0.03\", expect_size=\"42230784\"] \n  5 -> 6 [size =\"42230784\"]\n  5 -> 7 [size =\"42230784\"]\n  6 [size=\"33249280\", alpha=\"0.15\", expect_size=\"13299712\"] \n  6 -> 8 [size =\"13299712\"]\n  7 [size=\"89525760\", alpha=\"0.02\", expect_size=\"35810304\"] \n  7 -> 8 [size =\"35810304\"]\n  7 -> 9 [size =\"35810304\"]\n  8 [size=\"38625280\", alpha=\"0.09\", expect_size=\"15450112\"] \n  9 [size=\"32816640\", alpha=\"0.12\", expect_size=\"13126656\"] \n  9 -> 10 [size =\"13126656\"]\n  10 [size=\"43258880\", alpha=\"0.13\", expect_size=\"17303552\"] \n  10 -> 11 [size =\"17303552\"]\n  11 [size=\"34662400\", alpha=\"0.18\", expect_size=\"13864960\"] \n  11 -> 12 [size =\"13864960\"]\n  12 [size=\"129446400\", alpha=\"0.13\", expect_size=\"51778560\"] \n  12 -> 13 [size =\"51778560\"]\n  13 [size=\"87331840\", alpha=\"0.11\", expect_size=\"34932736\"] \n  13 -> 14 [size =\"34932736\"]\n  13 -> 15 [size =\"34932736\"]\n  14 [size=\"41881600\", alpha=\"0.06\", expect_size=\"16752640\"] \n  15 [size=\"57175040\", alpha=\"0.07\", expect_size=\"22870016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94001152\", alpha=\"0.02\", expect_size=\"47000576\"] \n  2 [size=\"29526016\", alpha=\"0.01\", expect_size=\"14763008\"] \n  2 -> 3 [size =\"14763008\"]\n  3 [size=\"50124800\", alpha=\"0.00\", expect_size=\"25062400\"] \n  3 -> 4 [size =\"25062400\"]\n  3 -> 5 [size =\"25062400\"]\n  4 [size=\"50462720\", alpha=\"0.05\", expect_size=\"25231360\"] \n  4 -> 6 [size =\"25231360\"]\n  4 -> 7 [size =\"25231360\"]\n  5 [size=\"76908544\", alpha=\"0.12\", expect_size=\"38454272\"] \n  5 -> 6 [size =\"38454272\"]\n  6 [size=\"71452672\", alpha=\"0.13\", expect_size=\"35726336\"] \n  6 -> 8 [size =\"35726336\"]\n  7 [size=\"90920960\", alpha=\"0.07\", expect_size=\"45460480\"] \n  7 -> 8 [size =\"45460480\"]\n  8 [size=\"70961152\", alpha=\"0.07\", expect_size=\"35480576\"] \n  8 -> 9 [size =\"35480576\"]\n  8 -> 10 [size =\"35480576\"]\n  9 [size=\"32733184\", alpha=\"0.18\", expect_size=\"16366592\"] \n  10 [size=\"62490624\", alpha=\"0.01\", expect_size=\"31245312\"] \n  10 -> 11 [size =\"31245312\"]\n  11 [size=\"24952832\", alpha=\"0.14\", expect_size=\"12476416\"] \n  11 -> 12 [size =\"12476416\"]\n  11 -> 13 [size =\"12476416\"]\n  12 [size=\"35639296\", alpha=\"0.18\", expect_size=\"17819648\"] \n  12 -> 14 [size =\"17819648\"]\n  13 [size=\"42334208\", alpha=\"0.17\", expect_size=\"21167104\"] \n  14 [size=\"43462656\", alpha=\"0.05\", expect_size=\"21731328\"] \n  14 -> 15 [size =\"21731328\"]\n  15 [size=\"67194880\", alpha=\"0.01\", expect_size=\"33597440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91422720\", alpha=\"0.11\", expect_size=\"36569088\"] \n  1 -> 9 [size =\"36569088\"]\n  1 -> 10 [size =\"36569088\"]\n  2 [size=\"72125440\", alpha=\"0.08\", expect_size=\"28850176\"] \n  3 [size=\"110745600\", alpha=\"0.13\", expect_size=\"44298240\"] \n  3 -> 8 [size =\"44298240\"]\n  4 [size=\"71744000\", alpha=\"0.09\", expect_size=\"28697600\"] \n  4 -> 7 [size =\"28697600\"]\n  4 -> 11 [size =\"28697600\"]\n  5 [size=\"126535680\", alpha=\"0.02\", expect_size=\"50614272\"] \n  5 -> 9 [size =\"50614272\"]\n  6 [size=\"61376000\", alpha=\"0.13\", expect_size=\"24550400\"] \n  6 -> 9 [size =\"24550400\"]\n  7 [size=\"15354880\", alpha=\"0.13\", expect_size=\"6141952\"] \n  7 -> 12 [size =\"6141952\"]\n  8 [size=\"64509440\", alpha=\"0.09\", expect_size=\"25803776\"] \n  8 -> 14 [size =\"25803776\"]\n  9 [size=\"49244160\", alpha=\"0.15\", expect_size=\"19697664\"] \n  9 -> 14 [size =\"19697664\"]\n  10 [size=\"26444800\", alpha=\"0.04\", expect_size=\"10577920\"] \n  10 -> 14 [size =\"10577920\"]\n  10 -> 15 [size =\"10577920\"]\n  11 [size=\"111741440\", alpha=\"0.05\", expect_size=\"44696576\"] \n  11 -> 12 [size =\"44696576\"]\n  11 -> 13 [size =\"44696576\"]\n  11 -> 15 [size =\"44696576\"]\n  12 [size=\"61593600\", alpha=\"0.03\", expect_size=\"24637440\"] \n  13 [size=\"107868160\", alpha=\"0.18\", expect_size=\"43147264\"] \n  14 [size=\"66759680\", alpha=\"0.02\", expect_size=\"26703872\"] \n  15 [size=\"117539840\", alpha=\"0.18\", expect_size=\"47015936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146220373\", alpha=\"0.05\", expect_size=\"43866112\"] \n  1 -> 4 [size =\"43866112\"]\n  2 [size=\"158760960\", alpha=\"0.08\", expect_size=\"47628288\"] \n  2 -> 4 [size =\"47628288\"]\n  3 [size=\"64501760\", alpha=\"0.20\", expect_size=\"19350528\"] \n  3 -> 5 [size =\"19350528\"]\n  4 [size=\"60917760\", alpha=\"0.18\", expect_size=\"18275328\"] \n  4 -> 6 [size =\"18275328\"]\n  4 -> 7 [size =\"18275328\"]\n  5 [size=\"55132160\", alpha=\"0.07\", expect_size=\"16539648\"] \n  6 [size=\"33307307\", alpha=\"0.11\", expect_size=\"9992192\"] \n  6 -> 8 [size =\"9992192\"]\n  6 -> 9 [size =\"9992192\"]\n  7 [size=\"111025493\", alpha=\"0.00\", expect_size=\"33307648\"] \n  7 -> 9 [size =\"33307648\"]\n  8 [size=\"21606400\", alpha=\"0.12\", expect_size=\"6481920\"] \n  8 -> 10 [size =\"6481920\"]\n  9 [size=\"100833280\", alpha=\"0.13\", expect_size=\"30249984\"] \n  9 -> 11 [size =\"30249984\"]\n  10 [size=\"137526613\", alpha=\"0.13\", expect_size=\"41257984\"] \n  10 -> 12 [size =\"41257984\"]\n  11 [size=\"143042560\", alpha=\"0.18\", expect_size=\"42912768\"] \n  11 -> 13 [size =\"42912768\"]\n  12 [size=\"28026880\", alpha=\"0.07\", expect_size=\"8408064\"] \n  12 -> 15 [size =\"8408064\"]\n  13 [size=\"92873387\", alpha=\"0.01\", expect_size=\"27862016\"] \n  13 -> 14 [size =\"27862016\"]\n  13 -> 15 [size =\"27862016\"]\n  14 [size=\"90627413\", alpha=\"0.01\", expect_size=\"27188224\"] \n  15 [size=\"73758720\", alpha=\"0.11\", expect_size=\"22127616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96186368\", alpha=\"0.10\", expect_size=\"48093184\"] \n  1 -> 2 [size =\"48093184\"]\n  2 [size=\"37191680\", alpha=\"0.13\", expect_size=\"18595840\"] \n  2 -> 3 [size =\"18595840\"]\n  3 [size=\"101634048\", alpha=\"0.16\", expect_size=\"50817024\"] \n  3 -> 4 [size =\"50817024\"]\n  4 [size=\"13107200\", alpha=\"0.18\", expect_size=\"6553600\"] \n  4 -> 5 [size =\"6553600\"]\n  5 [size=\"97431552\", alpha=\"0.11\", expect_size=\"48715776\"] \n  5 -> 6 [size =\"48715776\"]\n  6 [size=\"87822336\", alpha=\"0.18\", expect_size=\"43911168\"] \n  6 -> 7 [size =\"43911168\"]\n  7 [size=\"58173440\", alpha=\"0.16\", expect_size=\"29086720\"] \n  7 -> 8 [size =\"29086720\"]\n  8 [size=\"53141504\", alpha=\"0.14\", expect_size=\"26570752\"] \n  8 -> 9 [size =\"26570752\"]\n  9 [size=\"88119296\", alpha=\"0.12\", expect_size=\"44059648\"] \n  9 -> 10 [size =\"44059648\"]\n  10 [size=\"19345408\", alpha=\"0.10\", expect_size=\"9672704\"] \n  10 -> 11 [size =\"9672704\"]\n  11 [size=\"83281920\", alpha=\"0.13\", expect_size=\"41640960\"] \n  11 -> 12 [size =\"41640960\"]\n  12 [size=\"37292032\", alpha=\"0.14\", expect_size=\"18646016\"] \n  12 -> 13 [size =\"18646016\"]\n  13 [size=\"99211264\", alpha=\"0.05\", expect_size=\"49605632\"] \n  13 -> 14 [size =\"49605632\"]\n  14 [size=\"78966784\", alpha=\"0.06\", expect_size=\"39483392\"] \n  14 -> 15 [size =\"39483392\"]\n  15 [size=\"70264832\", alpha=\"0.10\", expect_size=\"35132416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98420053\", alpha=\"0.18\", expect_size=\"29526016\"] \n  1 -> 8 [size =\"29526016\"]\n  1 -> 9 [size =\"29526016\"]\n  1 -> 10 [size =\"29526016\"]\n  1 -> 12 [size =\"29526016\"]\n  1 -> 13 [size =\"29526016\"]\n  2 [size=\"92986027\", alpha=\"0.20\", expect_size=\"27895808\"] \n  2 -> 10 [size =\"27895808\"]\n  2 -> 12 [size =\"27895808\"]\n  3 [size=\"34522453\", alpha=\"0.12\", expect_size=\"10356736\"] \n  3 -> 9 [size =\"10356736\"]\n  3 -> 10 [size =\"10356736\"]\n  4 [size=\"99027627\", alpha=\"0.13\", expect_size=\"29708288\"] \n  4 -> 11 [size =\"29708288\"]\n  4 -> 12 [size =\"29708288\"]\n  4 -> 13 [size =\"29708288\"]\n  5 [size=\"68642133\", alpha=\"0.11\", expect_size=\"20592640\"] \n  5 -> 9 [size =\"20592640\"]\n  5 -> 11 [size =\"20592640\"]\n  6 [size=\"43731627\", alpha=\"0.06\", expect_size=\"13119488\"] \n  6 -> 8 [size =\"13119488\"]\n  6 -> 9 [size =\"13119488\"]\n  6 -> 10 [size =\"13119488\"]\n  6 -> 11 [size =\"13119488\"]\n  6 -> 12 [size =\"13119488\"]\n  7 [size=\"107339093\", alpha=\"0.11\", expect_size=\"32201728\"] \n  7 -> 8 [size =\"32201728\"]\n  7 -> 10 [size =\"32201728\"]\n  7 -> 12 [size =\"32201728\"]\n  8 [size=\"172168533\", alpha=\"0.07\", expect_size=\"51650560\"] \n  8 -> 14 [size =\"51650560\"]\n  9 [size=\"65976320\", alpha=\"0.03\", expect_size=\"19792896\"] \n  10 [size=\"24893440\", alpha=\"0.17\", expect_size=\"7468032\"] \n  10 -> 14 [size =\"7468032\"]\n  10 -> 15 [size =\"7468032\"]\n  11 [size=\"149271893\", alpha=\"0.12\", expect_size=\"44781568\"] \n  11 -> 14 [size =\"44781568\"]\n  12 [size=\"131682987\", alpha=\"0.02\", expect_size=\"39504896\"] \n  13 [size=\"128819200\", alpha=\"0.11\", expect_size=\"38645760\"] \n  13 -> 14 [size =\"38645760\"]\n  14 [size=\"65221973\", alpha=\"0.01\", expect_size=\"19566592\"] \n  15 [size=\"169332053\", alpha=\"0.12\", expect_size=\"50799616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48549888\", alpha=\"0.03\", expect_size=\"24274944\"] \n  1 -> 13 [size =\"24274944\"]\n  2 [size=\"89593856\", alpha=\"0.12\", expect_size=\"44796928\"] \n  2 -> 15 [size =\"44796928\"]\n  3 [size=\"67350528\", alpha=\"0.09\", expect_size=\"33675264\"] \n  3 -> 15 [size =\"33675264\"]\n  4 [size=\"98326528\", alpha=\"0.03\", expect_size=\"49163264\"] \n  4 -> 13 [size =\"49163264\"]\n  5 [size=\"25423872\", alpha=\"0.08\", expect_size=\"12711936\"] \n  5 -> 13 [size =\"12711936\"]\n  6 [size=\"65882112\", alpha=\"0.05\", expect_size=\"32941056\"] \n  7 [size=\"54493184\", alpha=\"0.07\", expect_size=\"27246592\"] \n  7 -> 13 [size =\"27246592\"]\n  7 -> 14 [size =\"27246592\"]\n  8 [size=\"38311936\", alpha=\"0.00\", expect_size=\"19155968\"] \n  8 -> 13 [size =\"19155968\"]\n  9 [size=\"36597760\", alpha=\"0.02\", expect_size=\"18298880\"] \n  9 -> 13 [size =\"18298880\"]\n  10 [size=\"87709696\", alpha=\"0.16\", expect_size=\"43854848\"] \n  10 -> 13 [size =\"43854848\"]\n  10 -> 15 [size =\"43854848\"]\n  11 [size=\"41666560\", alpha=\"0.09\", expect_size=\"20833280\"] \n  11 -> 15 [size =\"20833280\"]\n  11 -> 15 [size =\"20833280\"]\n  12 [size=\"55119872\", alpha=\"0.13\", expect_size=\"27559936\"] \n  13 [size=\"17348608\", alpha=\"0.19\", expect_size=\"8674304\"] \n  14 [size=\"61550592\", alpha=\"0.06\", expect_size=\"30775296\"] \n  15 [size=\"73404416\", alpha=\"0.11\", expect_size=\"36702208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38373376\", alpha=\"0.05\", expect_size=\"19186688\"] \n  1 -> 9 [size =\"19186688\"]\n  1 -> 10 [size =\"19186688\"]\n  1 -> 11 [size =\"19186688\"]\n  1 -> 11 [size =\"19186688\"]\n  2 [size=\"50573312\", alpha=\"0.14\", expect_size=\"25286656\"] \n  2 -> 8 [size =\"25286656\"]\n  2 -> 9 [size =\"25286656\"]\n  2 -> 11 [size =\"25286656\"]\n  3 [size=\"99938304\", alpha=\"0.05\", expect_size=\"49969152\"] \n  3 -> 6 [size =\"49969152\"]\n  3 -> 9 [size =\"49969152\"]\n  4 [size=\"69445632\", alpha=\"0.13\", expect_size=\"34722816\"] \n  4 -> 7 [size =\"34722816\"]\n  4 -> 9 [size =\"34722816\"]\n  4 -> 10 [size =\"34722816\"]\n  4 -> 11 [size =\"34722816\"]\n  5 [size=\"26073088\", alpha=\"0.02\", expect_size=\"13036544\"] \n  5 -> 8 [size =\"13036544\"]\n  5 -> 9 [size =\"13036544\"]\n  5 -> 10 [size =\"13036544\"]\n  5 -> 11 [size =\"13036544\"]\n  6 [size=\"99344384\", alpha=\"0.02\", expect_size=\"49672192\"] \n  6 -> 12 [size =\"49672192\"]\n  6 -> 13 [size =\"49672192\"]\n  6 -> 14 [size =\"49672192\"]\n  6 -> 15 [size =\"49672192\"]\n  7 [size=\"37898240\", alpha=\"0.10\", expect_size=\"18949120\"] \n  7 -> 13 [size =\"18949120\"]\n  7 -> 14 [size =\"18949120\"]\n  7 -> 15 [size =\"18949120\"]\n  7 -> 15 [size =\"18949120\"]\n  8 [size=\"48666624\", alpha=\"0.03\", expect_size=\"24333312\"] \n  8 -> 14 [size =\"24333312\"]\n  8 -> 15 [size =\"24333312\"]\n  9 [size=\"19308544\", alpha=\"0.08\", expect_size=\"9654272\"] \n  9 -> 14 [size =\"9654272\"]\n  10 [size=\"11878400\", alpha=\"0.05\", expect_size=\"5939200\"] \n  10 -> 12 [size =\"5939200\"]\n  10 -> 13 [size =\"5939200\"]\n  10 -> 14 [size =\"5939200\"]\n  10 -> 15 [size =\"5939200\"]\n  11 [size=\"59215872\", alpha=\"0.05\", expect_size=\"29607936\"] \n  11 -> 12 [size =\"29607936\"]\n  11 -> 13 [size =\"29607936\"]\n  11 -> 14 [size =\"29607936\"]\n  11 -> 15 [size =\"29607936\"]\n  12 [size=\"84852736\", alpha=\"0.09\", expect_size=\"42426368\"] \n  13 [size=\"56903680\", alpha=\"0.18\", expect_size=\"28451840\"] \n  14 [size=\"79859712\", alpha=\"0.13\", expect_size=\"39929856\"] \n  15 [size=\"44771328\", alpha=\"0.17\", expect_size=\"22385664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104280747\", alpha=\"0.19\", expect_size=\"31284224\"] \n  1 -> 2 [size =\"31284224\"]\n  1 -> 3 [size =\"31284224\"]\n  2 [size=\"30849707\", alpha=\"0.13\", expect_size=\"9254912\"] \n  2 -> 4 [size =\"9254912\"]\n  3 [size=\"162123093\", alpha=\"0.17\", expect_size=\"48636928\"] \n  4 [size=\"88623787\", alpha=\"0.15\", expect_size=\"26587136\"] \n  4 -> 5 [size =\"26587136\"]\n  4 -> 6 [size =\"26587136\"]\n  5 [size=\"75403947\", alpha=\"0.17\", expect_size=\"22621184\"] \n  5 -> 7 [size =\"22621184\"]\n  6 [size=\"51452587\", alpha=\"0.15\", expect_size=\"15435776\"] \n  7 [size=\"93064533\", alpha=\"0.18\", expect_size=\"27919360\"] \n  7 -> 8 [size =\"27919360\"]\n  7 -> 9 [size =\"27919360\"]\n  8 [size=\"76868267\", alpha=\"0.16\", expect_size=\"23060480\"] \n  8 -> 10 [size =\"23060480\"]\n  9 [size=\"104062293\", alpha=\"0.01\", expect_size=\"31218688\"] \n  10 [size=\"49896107\", alpha=\"0.08\", expect_size=\"14968832\"] \n  10 -> 11 [size =\"14968832\"]\n  10 -> 12 [size =\"14968832\"]\n  11 [size=\"132242773\", alpha=\"0.01\", expect_size=\"39672832\"] \n  12 [size=\"128290133\", alpha=\"0.20\", expect_size=\"38487040\"] \n  12 -> 13 [size =\"38487040\"]\n  13 [size=\"71775573\", alpha=\"0.18\", expect_size=\"21532672\"] \n  13 -> 14 [size =\"21532672\"]\n  14 [size=\"47868587\", alpha=\"0.04\", expect_size=\"14360576\"] \n  14 -> 15 [size =\"14360576\"]\n  15 [size=\"164761600\", alpha=\"0.06\", expect_size=\"49428480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100401152\", alpha=\"0.17\", expect_size=\"50200576\"] \n  1 -> 3 [size =\"50200576\"]\n  1 -> 4 [size =\"50200576\"]\n  1 -> 5 [size =\"50200576\"]\n  2 [size=\"14434304\", alpha=\"0.18\", expect_size=\"7217152\"] \n  3 [size=\"51603456\", alpha=\"0.01\", expect_size=\"25801728\"] \n  3 -> 7 [size =\"25801728\"]\n  3 -> 8 [size =\"25801728\"]\n  4 [size=\"46815232\", alpha=\"0.19\", expect_size=\"23407616\"] \n  4 -> 7 [size =\"23407616\"]\n  5 [size=\"85739520\", alpha=\"0.12\", expect_size=\"42869760\"] \n  5 -> 6 [size =\"42869760\"]\n  5 -> 8 [size =\"42869760\"]\n  6 [size=\"50538496\", alpha=\"0.12\", expect_size=\"25269248\"] \n  6 -> 9 [size =\"25269248\"]\n  6 -> 10 [size =\"25269248\"]\n  6 -> 11 [size =\"25269248\"]\n  7 [size=\"12105728\", alpha=\"0.13\", expect_size=\"6052864\"] \n  8 [size=\"101883904\", alpha=\"0.12\", expect_size=\"50941952\"] \n  8 -> 9 [size =\"50941952\"]\n  8 -> 10 [size =\"50941952\"]\n  9 [size=\"89239552\", alpha=\"0.07\", expect_size=\"44619776\"] \n  9 -> 13 [size =\"44619776\"]\n  9 -> 14 [size =\"44619776\"]\n  10 [size=\"53473280\", alpha=\"0.17\", expect_size=\"26736640\"] \n  11 [size=\"36321280\", alpha=\"0.12\", expect_size=\"18160640\"] \n  11 -> 12 [size =\"18160640\"]\n  11 -> 14 [size =\"18160640\"]\n  12 [size=\"21510144\", alpha=\"0.03\", expect_size=\"10755072\"] \n  13 [size=\"104288256\", alpha=\"0.15\", expect_size=\"52144128\"] \n  13 -> 15 [size =\"52144128\"]\n  14 [size=\"16502784\", alpha=\"0.15\", expect_size=\"8251392\"] \n  15 [size=\"11765760\", alpha=\"0.18\", expect_size=\"5882880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68160853\", alpha=\"0.04\", expect_size=\"20448256\"] \n  2 [size=\"159474347\", alpha=\"0.11\", expect_size=\"47842304\"] \n  2 -> 8 [size =\"47842304\"]\n  2 -> 10 [size =\"47842304\"]\n  2 -> 11 [size =\"47842304\"]\n  3 [size=\"78441813\", alpha=\"0.01\", expect_size=\"23532544\"] \n  3 -> 8 [size =\"23532544\"]\n  3 -> 12 [size =\"23532544\"]\n  4 [size=\"25245013\", alpha=\"0.11\", expect_size=\"7573504\"] \n  4 -> 8 [size =\"7573504\"]\n  4 -> 10 [size =\"7573504\"]\n  4 -> 12 [size =\"7573504\"]\n  5 [size=\"132867413\", alpha=\"0.10\", expect_size=\"39860224\"] \n  5 -> 11 [size =\"39860224\"]\n  5 -> 12 [size =\"39860224\"]\n  6 [size=\"30467413\", alpha=\"0.18\", expect_size=\"9140224\"] \n  6 -> 11 [size =\"9140224\"]\n  6 -> 12 [size =\"9140224\"]\n  7 [size=\"42045440\", alpha=\"0.02\", expect_size=\"12613632\"] \n  7 -> 9 [size =\"12613632\"]\n  7 -> 11 [size =\"12613632\"]\n  7 -> 12 [size =\"12613632\"]\n  8 [size=\"88797867\", alpha=\"0.10\", expect_size=\"26639360\"] \n  9 [size=\"60258987\", alpha=\"0.08\", expect_size=\"18077696\"] \n  9 -> 14 [size =\"18077696\"]\n  10 [size=\"147141973\", alpha=\"0.15\", expect_size=\"44142592\"] \n  10 -> 14 [size =\"44142592\"]\n  10 -> 15 [size =\"44142592\"]\n  11 [size=\"121446400\", alpha=\"0.01\", expect_size=\"36433920\"] \n  11 -> 14 [size =\"36433920\"]\n  12 [size=\"154101760\", alpha=\"0.20\", expect_size=\"46230528\"] \n  12 -> 13 [size =\"46230528\"]\n  12 -> 15 [size =\"46230528\"]\n  13 [size=\"86835200\", alpha=\"0.01\", expect_size=\"26050560\"] \n  14 [size=\"92108800\", alpha=\"0.07\", expect_size=\"27632640\"] \n  15 [size=\"20828160\", alpha=\"0.02\", expect_size=\"6248448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20109312\", alpha=\"0.17\", expect_size=\"10054656\"] \n  1 -> 2 [size =\"10054656\"]\n  2 [size=\"47486976\", alpha=\"0.13\", expect_size=\"23743488\"] \n  2 -> 3 [size =\"23743488\"]\n  2 -> 4 [size =\"23743488\"]\n  3 [size=\"19644416\", alpha=\"0.19\", expect_size=\"9822208\"] \n  3 -> 5 [size =\"9822208\"]\n  4 [size=\"71522304\", alpha=\"0.15\", expect_size=\"35761152\"] \n  4 -> 5 [size =\"35761152\"]\n  5 [size=\"92624896\", alpha=\"0.18\", expect_size=\"46312448\"] \n  5 -> 6 [size =\"46312448\"]\n  5 -> 7 [size =\"46312448\"]\n  6 [size=\"26812416\", alpha=\"0.03\", expect_size=\"13406208\"] \n  6 -> 9 [size =\"13406208\"]\n  7 [size=\"103399424\", alpha=\"0.11\", expect_size=\"51699712\"] \n  7 -> 8 [size =\"51699712\"]\n  8 [size=\"12042240\", alpha=\"0.09\", expect_size=\"6021120\"] \n  8 -> 10 [size =\"6021120\"]\n  8 -> 11 [size =\"6021120\"]\n  9 [size=\"55281664\", alpha=\"0.02\", expect_size=\"27640832\"] \n  10 [size=\"19390464\", alpha=\"0.06\", expect_size=\"9695232\"] \n  10 -> 13 [size =\"9695232\"]\n  11 [size=\"71360512\", alpha=\"0.13\", expect_size=\"35680256\"] \n  11 -> 12 [size =\"35680256\"]\n  11 -> 13 [size =\"35680256\"]\n  12 [size=\"56680448\", alpha=\"0.13\", expect_size=\"28340224\"] \n  12 -> 14 [size =\"28340224\"]\n  13 [size=\"23064576\", alpha=\"0.04\", expect_size=\"11532288\"] \n  13 -> 14 [size =\"11532288\"]\n  14 [size=\"19120128\", alpha=\"0.05\", expect_size=\"9560064\"] \n  14 -> 15 [size =\"9560064\"]\n  15 [size=\"90064896\", alpha=\"0.12\", expect_size=\"45032448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141649920\", alpha=\"0.12\", expect_size=\"42494976\"] \n  2 [size=\"45076480\", alpha=\"0.20\", expect_size=\"13522944\"] \n  3 [size=\"18513920\", alpha=\"0.19\", expect_size=\"5554176\"] \n  3 -> 4 [size =\"5554176\"]\n  4 [size=\"28306773\", alpha=\"0.09\", expect_size=\"8492032\"] \n  4 -> 5 [size =\"8492032\"]\n  5 [size=\"46363307\", alpha=\"0.06\", expect_size=\"13908992\"] \n  5 -> 6 [size =\"13908992\"]\n  6 [size=\"31399253\", alpha=\"0.13\", expect_size=\"9419776\"] \n  6 -> 7 [size =\"9419776\"]\n  6 -> 8 [size =\"9419776\"]\n  6 -> 9 [size =\"9419776\"]\n  7 [size=\"147107840\", alpha=\"0.03\", expect_size=\"44132352\"] \n  7 -> 10 [size =\"44132352\"]\n  8 [size=\"116739413\", alpha=\"0.18\", expect_size=\"35021824\"] \n  8 -> 10 [size =\"35021824\"]\n  9 [size=\"121388373\", alpha=\"0.00\", expect_size=\"36416512\"] \n  10 [size=\"45134507\", alpha=\"0.17\", expect_size=\"13540352\"] \n  10 -> 11 [size =\"13540352\"]\n  10 -> 12 [size =\"13540352\"]\n  10 -> 13 [size =\"13540352\"]\n  10 -> 14 [size =\"13540352\"]\n  11 [size=\"140779520\", alpha=\"0.02\", expect_size=\"42233856\"] \n  11 -> 15 [size =\"42233856\"]\n  12 [size=\"81131520\", alpha=\"0.15\", expect_size=\"24339456\"] \n  13 [size=\"80421547\", alpha=\"0.16\", expect_size=\"24126464\"] \n  14 [size=\"74158080\", alpha=\"0.13\", expect_size=\"22247424\"] \n  14 -> 15 [size =\"22247424\"]\n  15 [size=\"148152320\", alpha=\"0.00\", expect_size=\"44445696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87731200\", alpha=\"0.08\", expect_size=\"35092480\"] \n  1 -> 12 [size =\"35092480\"]\n  2 [size=\"100328960\", alpha=\"0.15\", expect_size=\"40131584\"] \n  2 -> 12 [size =\"40131584\"]\n  2 -> 14 [size =\"40131584\"]\n  3 [size=\"108815360\", alpha=\"0.05\", expect_size=\"43526144\"] \n  3 -> 13 [size =\"43526144\"]\n  3 -> 14 [size =\"43526144\"]\n  3 -> 15 [size =\"43526144\"]\n  4 [size=\"29675520\", alpha=\"0.08\", expect_size=\"11870208\"] \n  4 -> 12 [size =\"11870208\"]\n  4 -> 13 [size =\"11870208\"]\n  4 -> 15 [size =\"11870208\"]\n  5 [size=\"120373760\", alpha=\"0.07\", expect_size=\"48149504\"] \n  5 -> 13 [size =\"48149504\"]\n  6 [size=\"118292480\", alpha=\"0.10\", expect_size=\"47316992\"] \n  6 -> 12 [size =\"47316992\"]\n  6 -> 14 [size =\"47316992\"]\n  7 [size=\"59576320\", alpha=\"0.17\", expect_size=\"23830528\"] \n  7 -> 13 [size =\"23830528\"]\n  7 -> 15 [size =\"23830528\"]\n  8 [size=\"106741760\", alpha=\"0.16\", expect_size=\"42696704\"] \n  9 [size=\"21178880\", alpha=\"0.17\", expect_size=\"8471552\"] \n  9 -> 12 [size =\"8471552\"]\n  10 [size=\"39260160\", alpha=\"0.11\", expect_size=\"15704064\"] \n  10 -> 12 [size =\"15704064\"]\n  10 -> 13 [size =\"15704064\"]\n  11 [size=\"118120960\", alpha=\"0.03\", expect_size=\"47248384\"] \n  11 -> 13 [size =\"47248384\"]\n  11 -> 14 [size =\"47248384\"]\n  12 [size=\"44812800\", alpha=\"0.05\", expect_size=\"17925120\"] \n  13 [size=\"16532480\", alpha=\"0.17\", expect_size=\"6612992\"] \n  14 [size=\"48954880\", alpha=\"0.11\", expect_size=\"19581952\"] \n  15 [size=\"93365760\", alpha=\"0.17\", expect_size=\"37346304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16969728\", alpha=\"0.08\", expect_size=\"8484864\"] \n  1 -> 5 [size =\"8484864\"]\n  2 [size=\"94996480\", alpha=\"0.10\", expect_size=\"47498240\"] \n  2 -> 4 [size =\"47498240\"]\n  3 [size=\"100823040\", alpha=\"0.20\", expect_size=\"50411520\"] \n  3 -> 4 [size =\"50411520\"]\n  3 -> 5 [size =\"50411520\"]\n  4 [size=\"104069120\", alpha=\"0.02\", expect_size=\"52034560\"] \n  4 -> 6 [size =\"52034560\"]\n  5 [size=\"80566272\", alpha=\"0.07\", expect_size=\"40283136\"] \n  5 -> 7 [size =\"40283136\"]\n  6 [size=\"56051712\", alpha=\"0.17\", expect_size=\"28025856\"] \n  6 -> 8 [size =\"28025856\"]\n  6 -> 9 [size =\"28025856\"]\n  7 [size=\"41900032\", alpha=\"0.15\", expect_size=\"20950016\"] \n  7 -> 8 [size =\"20950016\"]\n  7 -> 9 [size =\"20950016\"]\n  7 -> 10 [size =\"20950016\"]\n  8 [size=\"52717568\", alpha=\"0.06\", expect_size=\"26358784\"] \n  8 -> 11 [size =\"26358784\"]\n  9 [size=\"59910144\", alpha=\"0.13\", expect_size=\"29955072\"] \n  9 -> 11 [size =\"29955072\"]\n  9 -> 12 [size =\"29955072\"]\n  9 -> 13 [size =\"29955072\"]\n  10 [size=\"74362880\", alpha=\"0.10\", expect_size=\"37181440\"] \n  11 [size=\"77504512\", alpha=\"0.14\", expect_size=\"38752256\"] \n  11 -> 14 [size =\"38752256\"]\n  12 [size=\"21463040\", alpha=\"0.17\", expect_size=\"10731520\"] \n  12 -> 14 [size =\"10731520\"]\n  13 [size=\"69212160\", alpha=\"0.09\", expect_size=\"34606080\"] \n  13 -> 15 [size =\"34606080\"]\n  14 [size=\"68990976\", alpha=\"0.16\", expect_size=\"34495488\"] \n  15 [size=\"79050752\", alpha=\"0.12\", expect_size=\"39525376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116930560\", alpha=\"0.09\", expect_size=\"46772224\"] \n  1 -> 9 [size =\"46772224\"]\n  2 [size=\"47001600\", alpha=\"0.10\", expect_size=\"18800640\"] \n  2 -> 9 [size =\"18800640\"]\n  3 [size=\"79232000\", alpha=\"0.16\", expect_size=\"31692800\"] \n  3 -> 8 [size =\"31692800\"]\n  3 -> 10 [size =\"31692800\"]\n  3 -> 11 [size =\"31692800\"]\n  4 [size=\"43130880\", alpha=\"0.19\", expect_size=\"17252352\"] \n  4 -> 8 [size =\"17252352\"]\n  4 -> 11 [size =\"17252352\"]\n  5 [size=\"60794880\", alpha=\"0.13\", expect_size=\"24317952\"] \n  5 -> 11 [size =\"24317952\"]\n  6 [size=\"27363840\", alpha=\"0.09\", expect_size=\"10945536\"] \n  7 [size=\"81671680\", alpha=\"0.01\", expect_size=\"32668672\"] \n  7 -> 9 [size =\"32668672\"]\n  8 [size=\"105085440\", alpha=\"0.13\", expect_size=\"42034176\"] \n  8 -> 12 [size =\"42034176\"]\n  8 -> 14 [size =\"42034176\"]\n  9 [size=\"110233600\", alpha=\"0.18\", expect_size=\"44093440\"] \n  9 -> 12 [size =\"44093440\"]\n  9 -> 13 [size =\"44093440\"]\n  9 -> 14 [size =\"44093440\"]\n  10 [size=\"100072960\", alpha=\"0.01\", expect_size=\"40029184\"] \n  10 -> 12 [size =\"40029184\"]\n  10 -> 13 [size =\"40029184\"]\n  11 [size=\"71091200\", alpha=\"0.06\", expect_size=\"28436480\"] \n  11 -> 15 [size =\"28436480\"]\n  12 [size=\"126540800\", alpha=\"0.02\", expect_size=\"50616320\"] \n  13 [size=\"68902400\", alpha=\"0.15\", expect_size=\"27560960\"] \n  14 [size=\"48023040\", alpha=\"0.09\", expect_size=\"19209216\"] \n  15 [size=\"44833280\", alpha=\"0.13\", expect_size=\"17933312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58391040\", alpha=\"0.15\", expect_size=\"23356416\"] \n  1 -> 5 [size =\"23356416\"]\n  1 -> 7 [size =\"23356416\"]\n  2 [size=\"93821440\", alpha=\"0.11\", expect_size=\"37528576\"] \n  3 [size=\"50145280\", alpha=\"0.07\", expect_size=\"20058112\"] \n  3 -> 7 [size =\"20058112\"]\n  4 [size=\"79057920\", alpha=\"0.00\", expect_size=\"31623168\"] \n  4 -> 5 [size =\"31623168\"]\n  4 -> 6 [size =\"31623168\"]\n  4 -> 7 [size =\"31623168\"]\n  5 [size=\"125465600\", alpha=\"0.04\", expect_size=\"50186240\"] \n  6 [size=\"13821440\", alpha=\"0.05\", expect_size=\"5528576\"] \n  6 -> 8 [size =\"5528576\"]\n  7 [size=\"74828800\", alpha=\"0.15\", expect_size=\"29931520\"] \n  7 -> 8 [size =\"29931520\"]\n  7 -> 9 [size =\"29931520\"]\n  8 [size=\"41850880\", alpha=\"0.10\", expect_size=\"16740352\"] \n  9 [size=\"30348800\", alpha=\"0.17\", expect_size=\"12139520\"] \n  9 -> 10 [size =\"12139520\"]\n  10 [size=\"33103360\", alpha=\"0.05\", expect_size=\"13241344\"] \n  10 -> 11 [size =\"13241344\"]\n  11 [size=\"93624320\", alpha=\"0.08\", expect_size=\"37449728\"] \n  11 -> 12 [size =\"37449728\"]\n  11 -> 13 [size =\"37449728\"]\n  12 [size=\"62295040\", alpha=\"0.01\", expect_size=\"24918016\"] \n  12 -> 15 [size =\"24918016\"]\n  13 [size=\"128675840\", alpha=\"0.00\", expect_size=\"51470336\"] \n  13 -> 14 [size =\"51470336\"]\n  14 [size=\"49687040\", alpha=\"0.04\", expect_size=\"19874816\"] \n  15 [size=\"51560960\", alpha=\"0.16\", expect_size=\"20624384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127221760\", alpha=\"0.10\", expect_size=\"50888704\"] \n  1 -> 13 [size =\"50888704\"]\n  1 -> 14 [size =\"50888704\"]\n  2 [size=\"55134720\", alpha=\"0.19\", expect_size=\"22053888\"] \n  2 -> 14 [size =\"22053888\"]\n  2 -> 14 [size =\"22053888\"]\n  3 [size=\"41039360\", alpha=\"0.14\", expect_size=\"16415744\"] \n  3 -> 13 [size =\"16415744\"]\n  3 -> 14 [size =\"16415744\"]\n  4 [size=\"69094400\", alpha=\"0.18\", expect_size=\"27637760\"] \n  4 -> 13 [size =\"27637760\"]\n  4 -> 14 [size =\"27637760\"]\n  5 [size=\"124469760\", alpha=\"0.18\", expect_size=\"49787904\"] \n  5 -> 13 [size =\"49787904\"]\n  6 [size=\"94302720\", alpha=\"0.15\", expect_size=\"37721088\"] \n  6 -> 13 [size =\"37721088\"]\n  7 [size=\"103779840\", alpha=\"0.08\", expect_size=\"41511936\"] \n  8 [size=\"79687680\", alpha=\"0.19\", expect_size=\"31875072\"] \n  8 -> 13 [size =\"31875072\"]\n  8 -> 14 [size =\"31875072\"]\n  9 [size=\"14302720\", alpha=\"0.18\", expect_size=\"5721088\"] \n  9 -> 13 [size =\"5721088\"]\n  10 [size=\"89856000\", alpha=\"0.11\", expect_size=\"35942400\"] \n  10 -> 13 [size =\"35942400\"]\n  10 -> 14 [size =\"35942400\"]\n  11 [size=\"70415360\", alpha=\"0.04\", expect_size=\"28166144\"] \n  11 -> 13 [size =\"28166144\"]\n  12 [size=\"128048640\", alpha=\"0.09\", expect_size=\"51219456\"] \n  12 -> 13 [size =\"51219456\"]\n  12 -> 14 [size =\"51219456\"]\n  12 -> 15 [size =\"51219456\"]\n  13 [size=\"124459520\", alpha=\"0.07\", expect_size=\"49783808\"] \n  14 [size=\"88829440\", alpha=\"0.04\", expect_size=\"35531776\"] \n  15 [size=\"78382080\", alpha=\"0.19\", expect_size=\"31352832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21422080\", alpha=\"0.07\", expect_size=\"8568832\"] \n  2 [size=\"106931200\", alpha=\"0.01\", expect_size=\"42772480\"] \n  2 -> 14 [size =\"42772480\"]\n  3 [size=\"53777920\", alpha=\"0.14\", expect_size=\"21511168\"] \n  3 -> 12 [size =\"21511168\"]\n  3 -> 13 [size =\"21511168\"]\n  3 -> 15 [size =\"21511168\"]\n  4 [size=\"47897600\", alpha=\"0.10\", expect_size=\"19159040\"] \n  4 -> 13 [size =\"19159040\"]\n  4 -> 14 [size =\"19159040\"]\n  5 [size=\"63032320\", alpha=\"0.16\", expect_size=\"25212928\"] \n  5 -> 11 [size =\"25212928\"]\n  6 [size=\"38141440\", alpha=\"0.02\", expect_size=\"15256576\"] \n  6 -> 15 [size =\"15256576\"]\n  7 [size=\"120227840\", alpha=\"0.06\", expect_size=\"48091136\"] \n  7 -> 12 [size =\"48091136\"]\n  7 -> 15 [size =\"48091136\"]\n  8 [size=\"48570880\", alpha=\"0.19\", expect_size=\"19428352\"] \n  8 -> 15 [size =\"19428352\"]\n  8 -> 15 [size =\"19428352\"]\n  9 [size=\"121971200\", alpha=\"0.12\", expect_size=\"48788480\"] \n  10 [size=\"104012800\", alpha=\"0.19\", expect_size=\"41605120\"] \n  10 -> 13 [size =\"41605120\"]\n  11 [size=\"122933760\", alpha=\"0.15\", expect_size=\"49173504\"] \n  12 [size=\"46917120\", alpha=\"0.04\", expect_size=\"18766848\"] \n  13 [size=\"53816320\", alpha=\"0.05\", expect_size=\"21526528\"] \n  14 [size=\"20277760\", alpha=\"0.08\", expect_size=\"8111104\"] \n  15 [size=\"80867840\", alpha=\"0.12\", expect_size=\"32347136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109038933\", alpha=\"0.15\", expect_size=\"32711680\"] \n  1 -> 2 [size =\"32711680\"]\n  2 [size=\"122572800\", alpha=\"0.11\", expect_size=\"36771840\"] \n  2 -> 3 [size =\"36771840\"]\n  3 [size=\"20237653\", alpha=\"0.11\", expect_size=\"6071296\"] \n  3 -> 4 [size =\"6071296\"]\n  4 [size=\"36352000\", alpha=\"0.07\", expect_size=\"10905600\"] \n  4 -> 5 [size =\"10905600\"]\n  5 [size=\"157794987\", alpha=\"0.08\", expect_size=\"47338496\"] \n  5 -> 6 [size =\"47338496\"]\n  6 [size=\"123112107\", alpha=\"0.08\", expect_size=\"36933632\"] \n  6 -> 7 [size =\"36933632\"]\n  7 [size=\"72318293\", alpha=\"0.02\", expect_size=\"21695488\"] \n  7 -> 8 [size =\"21695488\"]\n  8 [size=\"109847893\", alpha=\"0.05\", expect_size=\"32954368\"] \n  8 -> 9 [size =\"32954368\"]\n  9 [size=\"103212373\", alpha=\"0.00\", expect_size=\"30963712\"] \n  9 -> 10 [size =\"30963712\"]\n  10 [size=\"43642880\", alpha=\"0.13\", expect_size=\"13092864\"] \n  10 -> 11 [size =\"13092864\"]\n  11 [size=\"108066133\", alpha=\"0.05\", expect_size=\"32419840\"] \n  11 -> 12 [size =\"32419840\"]\n  12 [size=\"67908267\", alpha=\"0.14\", expect_size=\"20372480\"] \n  12 -> 13 [size =\"20372480\"]\n  13 [size=\"155607040\", alpha=\"0.08\", expect_size=\"46682112\"] \n  13 -> 14 [size =\"46682112\"]\n  14 [size=\"84616533\", alpha=\"0.16\", expect_size=\"25384960\"] \n  14 -> 15 [size =\"25384960\"]\n  15 [size=\"139560960\", alpha=\"0.02\", expect_size=\"41868288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61972480\", alpha=\"0.12\", expect_size=\"18591744\"] \n  1 -> 13 [size =\"18591744\"]\n  1 -> 14 [size =\"18591744\"]\n  2 [size=\"45926400\", alpha=\"0.15\", expect_size=\"13777920\"] \n  2 -> 15 [size =\"13777920\"]\n  3 [size=\"28405760\", alpha=\"0.15\", expect_size=\"8521728\"] \n  4 [size=\"87599787\", alpha=\"0.14\", expect_size=\"26279936\"] \n  5 [size=\"79394133\", alpha=\"0.00\", expect_size=\"23818240\"] \n  5 -> 13 [size =\"23818240\"]\n  6 [size=\"60586667\", alpha=\"0.15\", expect_size=\"18176000\"] \n  7 [size=\"128078507\", alpha=\"0.12\", expect_size=\"38423552\"] \n  8 [size=\"63368533\", alpha=\"0.17\", expect_size=\"19010560\"] \n  9 [size=\"59886933\", alpha=\"0.19\", expect_size=\"17966080\"] \n  10 [size=\"101604693\", alpha=\"0.15\", expect_size=\"30481408\"] \n  10 -> 12 [size =\"30481408\"]\n  10 -> 13 [size =\"30481408\"]\n  11 [size=\"72345600\", alpha=\"0.16\", expect_size=\"21703680\"] \n  11 -> 13 [size =\"21703680\"]\n  12 [size=\"165628587\", alpha=\"0.04\", expect_size=\"49688576\"] \n  13 [size=\"124747093\", alpha=\"0.02\", expect_size=\"37424128\"] \n  14 [size=\"86234453\", alpha=\"0.08\", expect_size=\"25870336\"] \n  15 [size=\"42574507\", alpha=\"0.08\", expect_size=\"12772352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83865600\", alpha=\"0.06\", expect_size=\"25159680\"] \n  1 -> 2 [size =\"25159680\"]\n  2 [size=\"165758293\", alpha=\"0.17\", expect_size=\"49727488\"] \n  2 -> 3 [size =\"49727488\"]\n  3 [size=\"54657707\", alpha=\"0.01\", expect_size=\"16397312\"] \n  3 -> 4 [size =\"16397312\"]\n  4 [size=\"102481920\", alpha=\"0.04\", expect_size=\"30744576\"] \n  4 -> 5 [size =\"30744576\"]\n  5 [size=\"45199360\", alpha=\"0.13\", expect_size=\"13559808\"] \n  5 -> 6 [size =\"13559808\"]\n  6 [size=\"39147520\", alpha=\"0.06\", expect_size=\"11744256\"] \n  6 -> 7 [size =\"11744256\"]\n  7 [size=\"100078933\", alpha=\"0.05\", expect_size=\"30023680\"] \n  7 -> 8 [size =\"30023680\"]\n  8 [size=\"119193600\", alpha=\"0.12\", expect_size=\"35758080\"] \n  8 -> 9 [size =\"35758080\"]\n  9 [size=\"147384320\", alpha=\"0.17\", expect_size=\"44215296\"] \n  9 -> 10 [size =\"44215296\"]\n  10 [size=\"32283307\", alpha=\"0.14\", expect_size=\"9684992\"] \n  10 -> 11 [size =\"9684992\"]\n  11 [size=\"91299840\", alpha=\"0.11\", expect_size=\"27389952\"] \n  11 -> 12 [size =\"27389952\"]\n  12 [size=\"138605227\", alpha=\"0.03\", expect_size=\"41581568\"] \n  12 -> 13 [size =\"41581568\"]\n  13 [size=\"114363733\", alpha=\"0.03\", expect_size=\"34309120\"] \n  13 -> 14 [size =\"34309120\"]\n  14 [size=\"119374507\", alpha=\"0.09\", expect_size=\"35812352\"] \n  14 -> 15 [size =\"35812352\"]\n  15 [size=\"148776960\", alpha=\"0.13\", expect_size=\"44633088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73837227\", alpha=\"0.11\", expect_size=\"22151168\"] \n  1 -> 10 [size =\"22151168\"]\n  2 [size=\"70587733\", alpha=\"0.06\", expect_size=\"21176320\"] \n  2 -> 8 [size =\"21176320\"]\n  2 -> 9 [size =\"21176320\"]\n  3 [size=\"134075733\", alpha=\"0.12\", expect_size=\"40222720\"] \n  3 -> 6 [size =\"40222720\"]\n  3 -> 8 [size =\"40222720\"]\n  3 -> 9 [size =\"40222720\"]\n  4 [size=\"75270827\", alpha=\"0.17\", expect_size=\"22581248\"] \n  4 -> 6 [size =\"22581248\"]\n  4 -> 7 [size =\"22581248\"]\n  5 [size=\"148480000\", alpha=\"0.06\", expect_size=\"44544000\"] \n  5 -> 8 [size =\"44544000\"]\n  5 -> 10 [size =\"44544000\"]\n  6 [size=\"146336427\", alpha=\"0.10\", expect_size=\"43900928\"] \n  6 -> 11 [size =\"43900928\"]\n  6 -> 13 [size =\"43900928\"]\n  6 -> 14 [size =\"43900928\"]\n  7 [size=\"148531200\", alpha=\"0.05\", expect_size=\"44559360\"] \n  7 -> 11 [size =\"44559360\"]\n  7 -> 12 [size =\"44559360\"]\n  7 -> 14 [size =\"44559360\"]\n  8 [size=\"172567893\", alpha=\"0.02\", expect_size=\"51770368\"] \n  8 -> 12 [size =\"51770368\"]\n  8 -> 13 [size =\"51770368\"]\n  8 -> 15 [size =\"51770368\"]\n  9 [size=\"104188587\", alpha=\"0.15\", expect_size=\"31256576\"] \n  9 -> 11 [size =\"31256576\"]\n  9 -> 14 [size =\"31256576\"]\n  10 [size=\"72707413\", alpha=\"0.05\", expect_size=\"21812224\"] \n  10 -> 12 [size =\"21812224\"]\n  11 [size=\"71048533\", alpha=\"0.01\", expect_size=\"21314560\"] \n  12 [size=\"159040853\", alpha=\"0.10\", expect_size=\"47712256\"] \n  13 [size=\"46725120\", alpha=\"0.15\", expect_size=\"14017536\"] \n  14 [size=\"139048960\", alpha=\"0.14\", expect_size=\"41714688\"] \n  15 [size=\"115862187\", alpha=\"0.18\", expect_size=\"34758656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24309760\", alpha=\"0.04\", expect_size=\"9723904\"] \n  1 -> 14 [size =\"9723904\"]\n  2 [size=\"13240320\", alpha=\"0.00\", expect_size=\"5296128\"] \n  3 [size=\"118886400\", alpha=\"0.16\", expect_size=\"47554560\"] \n  4 [size=\"120491520\", alpha=\"0.11\", expect_size=\"48196608\"] \n  4 -> 14 [size =\"48196608\"]\n  5 [size=\"52620800\", alpha=\"0.12\", expect_size=\"21048320\"] \n  6 [size=\"54364160\", alpha=\"0.14\", expect_size=\"21745664\"] \n  7 [size=\"86891520\", alpha=\"0.07\", expect_size=\"34756608\"] \n  7 -> 14 [size =\"34756608\"]\n  8 [size=\"72604160\", alpha=\"0.14\", expect_size=\"29041664\"] \n  9 [size=\"73448960\", alpha=\"0.10\", expect_size=\"29379584\"] \n  10 [size=\"119065600\", alpha=\"0.09\", expect_size=\"47626240\"] \n  11 [size=\"35189760\", alpha=\"0.19\", expect_size=\"14075904\"] \n  12 [size=\"57994240\", alpha=\"0.10\", expect_size=\"23197696\"] \n  12 -> 15 [size =\"23197696\"]\n  13 [size=\"58675200\", alpha=\"0.08\", expect_size=\"23470080\"] \n  14 [size=\"35898880\", alpha=\"0.02\", expect_size=\"14359552\"] \n  15 [size=\"98114560\", alpha=\"0.17\", expect_size=\"39245824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62532267\", alpha=\"0.10\", expect_size=\"18759680\"] \n  1 -> 2 [size =\"18759680\"]\n  2 [size=\"170263893\", alpha=\"0.15\", expect_size=\"51079168\"] \n  2 -> 3 [size =\"51079168\"]\n  2 -> 4 [size =\"51079168\"]\n  3 [size=\"48489813\", alpha=\"0.07\", expect_size=\"14546944\"] \n  3 -> 5 [size =\"14546944\"]\n  4 [size=\"142237013\", alpha=\"0.01\", expect_size=\"42671104\"] \n  4 -> 5 [size =\"42671104\"]\n  5 [size=\"133881173\", alpha=\"0.11\", expect_size=\"40164352\"] \n  5 -> 6 [size =\"40164352\"]\n  6 [size=\"130471253\", alpha=\"0.15\", expect_size=\"39141376\"] \n  6 -> 7 [size =\"39141376\"]\n  6 -> 8 [size =\"39141376\"]\n  7 [size=\"19483307\", alpha=\"0.04\", expect_size=\"5844992\"] \n  7 -> 9 [size =\"5844992\"]\n  8 [size=\"82947413\", alpha=\"0.18\", expect_size=\"24884224\"] \n  8 -> 9 [size =\"24884224\"]\n  8 -> 10 [size =\"24884224\"]\n  9 [size=\"123996160\", alpha=\"0.12\", expect_size=\"37198848\"] \n  10 [size=\"92750507\", alpha=\"0.10\", expect_size=\"27825152\"] \n  10 -> 11 [size =\"27825152\"]\n  11 [size=\"52845227\", alpha=\"0.19\", expect_size=\"15853568\"] \n  11 -> 12 [size =\"15853568\"]\n  11 -> 13 [size =\"15853568\"]\n  12 [size=\"131188053\", alpha=\"0.17\", expect_size=\"39356416\"] \n  12 -> 14 [size =\"39356416\"]\n  12 -> 15 [size =\"39356416\"]\n  13 [size=\"92385280\", alpha=\"0.15\", expect_size=\"27715584\"] \n  13 -> 15 [size =\"27715584\"]\n  14 [size=\"150268587\", alpha=\"0.16\", expect_size=\"45080576\"] \n  15 [size=\"155286187\", alpha=\"0.16\", expect_size=\"46585856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84652032\", alpha=\"0.00\", expect_size=\"42326016\"] \n  1 -> 4 [size =\"42326016\"]\n  1 -> 5 [size =\"42326016\"]\n  1 -> 6 [size =\"42326016\"]\n  2 [size=\"18507776\", alpha=\"0.05\", expect_size=\"9253888\"] \n  2 -> 4 [size =\"9253888\"]\n  2 -> 5 [size =\"9253888\"]\n  2 -> 6 [size =\"9253888\"]\n  3 [size=\"102848512\", alpha=\"0.17\", expect_size=\"51424256\"] \n  4 [size=\"27353088\", alpha=\"0.18\", expect_size=\"13676544\"] \n  4 -> 7 [size =\"13676544\"]\n  5 [size=\"20029440\", alpha=\"0.06\", expect_size=\"10014720\"] \n  6 [size=\"63438848\", alpha=\"0.05\", expect_size=\"31719424\"] \n  6 -> 7 [size =\"31719424\"]\n  6 -> 8 [size =\"31719424\"]\n  7 [size=\"49909760\", alpha=\"0.19\", expect_size=\"24954880\"] \n  7 -> 9 [size =\"24954880\"]\n  8 [size=\"90644480\", alpha=\"0.11\", expect_size=\"45322240\"] \n  8 -> 10 [size =\"45322240\"]\n  9 [size=\"89247744\", alpha=\"0.03\", expect_size=\"44623872\"] \n  9 -> 12 [size =\"44623872\"]\n  10 [size=\"14112768\", alpha=\"0.15\", expect_size=\"7056384\"] \n  10 -> 11 [size =\"7056384\"]\n  10 -> 13 [size =\"7056384\"]\n  11 [size=\"56322048\", alpha=\"0.07\", expect_size=\"28161024\"] \n  11 -> 14 [size =\"28161024\"]\n  11 -> 15 [size =\"28161024\"]\n  12 [size=\"57577472\", alpha=\"0.03\", expect_size=\"28788736\"] \n  13 [size=\"80330752\", alpha=\"0.16\", expect_size=\"40165376\"] \n  13 -> 15 [size =\"40165376\"]\n  14 [size=\"63987712\", alpha=\"0.05\", expect_size=\"31993856\"] \n  15 [size=\"53504000\", alpha=\"0.06\", expect_size=\"26752000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34646016\", alpha=\"0.01\", expect_size=\"17323008\"] \n  1 -> 3 [size =\"17323008\"]\n  2 [size=\"37222400\", alpha=\"0.16\", expect_size=\"18611200\"] \n  2 -> 4 [size =\"18611200\"]\n  3 [size=\"67137536\", alpha=\"0.18\", expect_size=\"33568768\"] \n  3 -> 5 [size =\"33568768\"]\n  4 [size=\"103938048\", alpha=\"0.18\", expect_size=\"51969024\"] \n  4 -> 5 [size =\"51969024\"]\n  4 -> 6 [size =\"51969024\"]\n  5 [size=\"73957376\", alpha=\"0.20\", expect_size=\"36978688\"] \n  5 -> 7 [size =\"36978688\"]\n  5 -> 8 [size =\"36978688\"]\n  6 [size=\"46360576\", alpha=\"0.07\", expect_size=\"23180288\"] \n  6 -> 8 [size =\"23180288\"]\n  7 [size=\"80664576\", alpha=\"0.03\", expect_size=\"40332288\"] \n  7 -> 9 [size =\"40332288\"]\n  8 [size=\"17063936\", alpha=\"0.02\", expect_size=\"8531968\"] \n  9 [size=\"93372416\", alpha=\"0.11\", expect_size=\"46686208\"] \n  9 -> 10 [size =\"46686208\"]\n  9 -> 11 [size =\"46686208\"]\n  10 [size=\"82802688\", alpha=\"0.15\", expect_size=\"41401344\"] \n  11 [size=\"47212544\", alpha=\"0.12\", expect_size=\"23606272\"] \n  11 -> 12 [size =\"23606272\"]\n  11 -> 13 [size =\"23606272\"]\n  12 [size=\"53145600\", alpha=\"0.06\", expect_size=\"26572800\"] \n  12 -> 14 [size =\"26572800\"]\n  13 [size=\"34955264\", alpha=\"0.03\", expect_size=\"17477632\"] \n  14 [size=\"26812416\", alpha=\"0.20\", expect_size=\"13406208\"] \n  14 -> 15 [size =\"13406208\"]\n  15 [size=\"19550208\", alpha=\"0.13\", expect_size=\"9775104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58474496\", alpha=\"0.19\", expect_size=\"29237248\"] \n  1 -> 2 [size =\"29237248\"]\n  2 [size=\"91990016\", alpha=\"0.01\", expect_size=\"45995008\"] \n  2 -> 3 [size =\"45995008\"]\n  3 [size=\"82745344\", alpha=\"0.15\", expect_size=\"41372672\"] \n  3 -> 4 [size =\"41372672\"]\n  4 [size=\"87992320\", alpha=\"0.15\", expect_size=\"43996160\"] \n  4 -> 5 [size =\"43996160\"]\n  5 [size=\"21192704\", alpha=\"0.06\", expect_size=\"10596352\"] \n  5 -> 6 [size =\"10596352\"]\n  6 [size=\"83802112\", alpha=\"0.01\", expect_size=\"41901056\"] \n  6 -> 7 [size =\"41901056\"]\n  7 [size=\"28080128\", alpha=\"0.07\", expect_size=\"14040064\"] \n  7 -> 8 [size =\"14040064\"]\n  8 [size=\"58718208\", alpha=\"0.12\", expect_size=\"29359104\"] \n  8 -> 9 [size =\"29359104\"]\n  9 [size=\"80242688\", alpha=\"0.20\", expect_size=\"40121344\"] \n  9 -> 10 [size =\"40121344\"]\n  10 [size=\"21729280\", alpha=\"0.06\", expect_size=\"10864640\"] \n  10 -> 11 [size =\"10864640\"]\n  11 [size=\"95590400\", alpha=\"0.10\", expect_size=\"47795200\"] \n  11 -> 12 [size =\"47795200\"]\n  12 [size=\"89286656\", alpha=\"0.13\", expect_size=\"44643328\"] \n  12 -> 13 [size =\"44643328\"]\n  13 [size=\"94685184\", alpha=\"0.14\", expect_size=\"47342592\"] \n  13 -> 14 [size =\"47342592\"]\n  14 [size=\"69042176\", alpha=\"0.06\", expect_size=\"34521088\"] \n  14 -> 15 [size =\"34521088\"]\n  15 [size=\"47038464\", alpha=\"0.07\", expect_size=\"23519232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53049344\", alpha=\"0.17\", expect_size=\"26524672\"] \n  1 -> 3 [size =\"26524672\"]\n  2 [size=\"19142656\", alpha=\"0.04\", expect_size=\"9571328\"] \n  2 -> 4 [size =\"9571328\"]\n  3 [size=\"46804992\", alpha=\"0.15\", expect_size=\"23402496\"] \n  3 -> 5 [size =\"23402496\"]\n  3 -> 6 [size =\"23402496\"]\n  4 [size=\"98658304\", alpha=\"0.09\", expect_size=\"49329152\"] \n  4 -> 7 [size =\"49329152\"]\n  5 [size=\"81995776\", alpha=\"0.04\", expect_size=\"40997888\"] \n  6 [size=\"93827072\", alpha=\"0.20\", expect_size=\"46913536\"] \n  6 -> 8 [size =\"46913536\"]\n  7 [size=\"85129216\", alpha=\"0.14\", expect_size=\"42564608\"] \n  7 -> 9 [size =\"42564608\"]\n  8 [size=\"59244544\", alpha=\"0.08\", expect_size=\"29622272\"] \n  8 -> 11 [size =\"29622272\"]\n  9 [size=\"59858944\", alpha=\"0.10\", expect_size=\"29929472\"] \n  9 -> 10 [size =\"29929472\"]\n  9 -> 12 [size =\"29929472\"]\n  10 [size=\"14297088\", alpha=\"0.04\", expect_size=\"7148544\"] \n  10 -> 14 [size =\"7148544\"]\n  10 -> 15 [size =\"7148544\"]\n  11 [size=\"86880256\", alpha=\"0.11\", expect_size=\"43440128\"] \n  11 -> 13 [size =\"43440128\"]\n  12 [size=\"72013824\", alpha=\"0.09\", expect_size=\"36006912\"] \n  12 -> 13 [size =\"36006912\"]\n  13 [size=\"91633664\", alpha=\"0.08\", expect_size=\"45816832\"] \n  14 [size=\"70014976\", alpha=\"0.09\", expect_size=\"35007488\"] \n  15 [size=\"19800064\", alpha=\"0.09\", expect_size=\"9900032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43890688\", alpha=\"0.20\", expect_size=\"21945344\"] \n  1 -> 2 [size =\"21945344\"]\n  2 [size=\"71346176\", alpha=\"0.07\", expect_size=\"35673088\"] \n  2 -> 3 [size =\"35673088\"]\n  3 [size=\"104167424\", alpha=\"0.05\", expect_size=\"52083712\"] \n  3 -> 4 [size =\"52083712\"]\n  4 [size=\"34244608\", alpha=\"0.02\", expect_size=\"17122304\"] \n  4 -> 5 [size =\"17122304\"]\n  5 [size=\"96356352\", alpha=\"0.11\", expect_size=\"48178176\"] \n  5 -> 6 [size =\"48178176\"]\n  6 [size=\"82046976\", alpha=\"0.20\", expect_size=\"41023488\"] \n  6 -> 7 [size =\"41023488\"]\n  7 [size=\"93700096\", alpha=\"0.10\", expect_size=\"46850048\"] \n  7 -> 8 [size =\"46850048\"]\n  8 [size=\"19339264\", alpha=\"0.19\", expect_size=\"9669632\"] \n  8 -> 9 [size =\"9669632\"]\n  9 [size=\"15097856\", alpha=\"0.18\", expect_size=\"7548928\"] \n  9 -> 10 [size =\"7548928\"]\n  10 [size=\"18280448\", alpha=\"0.09\", expect_size=\"9140224\"] \n  10 -> 11 [size =\"9140224\"]\n  11 [size=\"42502144\", alpha=\"0.07\", expect_size=\"21251072\"] \n  11 -> 12 [size =\"21251072\"]\n  12 [size=\"42457088\", alpha=\"0.13\", expect_size=\"21228544\"] \n  12 -> 13 [size =\"21228544\"]\n  13 [size=\"76238848\", alpha=\"0.01\", expect_size=\"38119424\"] \n  13 -> 14 [size =\"38119424\"]\n  14 [size=\"97617920\", alpha=\"0.01\", expect_size=\"48808960\"] \n  14 -> 15 [size =\"48808960\"]\n  15 [size=\"14819328\", alpha=\"0.10\", expect_size=\"7409664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42717184\", alpha=\"0.03\", expect_size=\"21358592\"] \n  1 -> 7 [size =\"21358592\"]\n  2 [size=\"47667200\", alpha=\"0.11\", expect_size=\"23833600\"] \n  2 -> 8 [size =\"23833600\"]\n  3 [size=\"98166784\", alpha=\"0.17\", expect_size=\"49083392\"] \n  3 -> 5 [size =\"49083392\"]\n  3 -> 6 [size =\"49083392\"]\n  3 -> 8 [size =\"49083392\"]\n  4 [size=\"56588288\", alpha=\"0.15\", expect_size=\"28294144\"] \n  4 -> 5 [size =\"28294144\"]\n  4 -> 7 [size =\"28294144\"]\n  5 [size=\"83243008\", alpha=\"0.00\", expect_size=\"41621504\"] \n  5 -> 9 [size =\"41621504\"]\n  5 -> 13 [size =\"41621504\"]\n  5 -> 14 [size =\"41621504\"]\n  6 [size=\"13172736\", alpha=\"0.10\", expect_size=\"6586368\"] \n  6 -> 12 [size =\"6586368\"]\n  6 -> 13 [size =\"6586368\"]\n  6 -> 15 [size =\"6586368\"]\n  7 [size=\"19683328\", alpha=\"0.09\", expect_size=\"9841664\"] \n  7 -> 9 [size =\"9841664\"]\n  7 -> 11 [size =\"9841664\"]\n  7 -> 12 [size =\"9841664\"]\n  7 -> 15 [size =\"9841664\"]\n  8 [size=\"29937664\", alpha=\"0.11\", expect_size=\"14968832\"] \n  8 -> 9 [size =\"14968832\"]\n  8 -> 10 [size =\"14968832\"]\n  8 -> 13 [size =\"14968832\"]\n  9 [size=\"85471232\", alpha=\"0.13\", expect_size=\"42735616\"] \n  10 [size=\"103155712\", alpha=\"0.18\", expect_size=\"51577856\"] \n  11 [size=\"77307904\", alpha=\"0.06\", expect_size=\"38653952\"] \n  12 [size=\"91490304\", alpha=\"0.07\", expect_size=\"45745152\"] \n  13 [size=\"50135040\", alpha=\"0.16\", expect_size=\"25067520\"] \n  14 [size=\"36184064\", alpha=\"0.09\", expect_size=\"18092032\"] \n  15 [size=\"11012096\", alpha=\"0.14\", expect_size=\"5506048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128709120\", alpha=\"0.12\", expect_size=\"51483648\"] \n  1 -> 10 [size =\"51483648\"]\n  2 [size=\"26536960\", alpha=\"0.13\", expect_size=\"10614784\"] \n  2 -> 9 [size =\"10614784\"]\n  2 -> 10 [size =\"10614784\"]\n  2 -> 12 [size =\"10614784\"]\n  3 [size=\"83397120\", alpha=\"0.04\", expect_size=\"33358848\"] \n  3 -> 7 [size =\"33358848\"]\n  3 -> 8 [size =\"33358848\"]\n  3 -> 11 [size =\"33358848\"]\n  3 -> 12 [size =\"33358848\"]\n  4 [size=\"106076160\", alpha=\"0.04\", expect_size=\"42430464\"] \n  4 -> 10 [size =\"42430464\"]\n  4 -> 11 [size =\"42430464\"]\n  5 [size=\"94118400\", alpha=\"0.11\", expect_size=\"37647360\"] \n  5 -> 7 [size =\"37647360\"]\n  5 -> 10 [size =\"37647360\"]\n  6 [size=\"120576000\", alpha=\"0.13\", expect_size=\"48230400\"] \n  6 -> 7 [size =\"48230400\"]\n  6 -> 11 [size =\"48230400\"]\n  6 -> 12 [size =\"48230400\"]\n  7 [size=\"95877120\", alpha=\"0.14\", expect_size=\"38350848\"] \n  7 -> 13 [size =\"38350848\"]\n  7 -> 14 [size =\"38350848\"]\n  7 -> 15 [size =\"38350848\"]\n  8 [size=\"32061440\", alpha=\"0.19\", expect_size=\"12824576\"] \n  8 -> 14 [size =\"12824576\"]\n  8 -> 15 [size =\"12824576\"]\n  9 [size=\"34414080\", alpha=\"0.06\", expect_size=\"13765632\"] \n  10 [size=\"37744640\", alpha=\"0.17\", expect_size=\"15097856\"] \n  10 -> 14 [size =\"15097856\"]\n  11 [size=\"76823040\", alpha=\"0.03\", expect_size=\"30729216\"] \n  12 [size=\"28692480\", alpha=\"0.16\", expect_size=\"11476992\"] \n  12 -> 13 [size =\"11476992\"]\n  12 -> 14 [size =\"11476992\"]\n  13 [size=\"108098560\", alpha=\"0.14\", expect_size=\"43239424\"] \n  14 [size=\"128942080\", alpha=\"0.19\", expect_size=\"51576832\"] \n  15 [size=\"36651520\", alpha=\"0.12\", expect_size=\"14660608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35652267\", alpha=\"0.02\", expect_size=\"10695680\"] \n  1 -> 2 [size =\"10695680\"]\n  2 [size=\"144742400\", alpha=\"0.16\", expect_size=\"43422720\"] \n  2 -> 3 [size =\"43422720\"]\n  3 [size=\"68488533\", alpha=\"0.19\", expect_size=\"20546560\"] \n  3 -> 4 [size =\"20546560\"]\n  4 [size=\"117684907\", alpha=\"0.08\", expect_size=\"35305472\"] \n  4 -> 5 [size =\"35305472\"]\n  5 [size=\"32013653\", alpha=\"0.19\", expect_size=\"9604096\"] \n  5 -> 6 [size =\"9604096\"]\n  6 [size=\"90760533\", alpha=\"0.07\", expect_size=\"27228160\"] \n  6 -> 7 [size =\"27228160\"]\n  7 [size=\"81561600\", alpha=\"0.10\", expect_size=\"24468480\"] \n  7 -> 8 [size =\"24468480\"]\n  8 [size=\"166420480\", alpha=\"0.04\", expect_size=\"49926144\"] \n  8 -> 9 [size =\"49926144\"]\n  9 [size=\"54913707\", alpha=\"0.04\", expect_size=\"16474112\"] \n  9 -> 10 [size =\"16474112\"]\n  10 [size=\"134929067\", alpha=\"0.11\", expect_size=\"40478720\"] \n  10 -> 11 [size =\"40478720\"]\n  11 [size=\"89405440\", alpha=\"0.11\", expect_size=\"26821632\"] \n  11 -> 12 [size =\"26821632\"]\n  12 [size=\"103584427\", alpha=\"0.17\", expect_size=\"31075328\"] \n  12 -> 13 [size =\"31075328\"]\n  13 [size=\"71813120\", alpha=\"0.09\", expect_size=\"21543936\"] \n  13 -> 14 [size =\"21543936\"]\n  14 [size=\"65539413\", alpha=\"0.07\", expect_size=\"19661824\"] \n  14 -> 15 [size =\"19661824\"]\n  15 [size=\"126750720\", alpha=\"0.17\", expect_size=\"38025216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92788053\", alpha=\"0.06\", expect_size=\"27836416\"] \n  1 -> 5 [size =\"27836416\"]\n  1 -> 6 [size =\"27836416\"]\n  1 -> 7 [size =\"27836416\"]\n  2 [size=\"158900907\", alpha=\"0.10\", expect_size=\"47670272\"] \n  2 -> 6 [size =\"47670272\"]\n  2 -> 7 [size =\"47670272\"]\n  3 [size=\"69212160\", alpha=\"0.19\", expect_size=\"20763648\"] \n  4 [size=\"47254187\", alpha=\"0.17\", expect_size=\"14176256\"] \n  5 [size=\"35269973\", alpha=\"0.12\", expect_size=\"10580992\"] \n  5 -> 9 [size =\"10580992\"]\n  6 [size=\"164669440\", alpha=\"0.20\", expect_size=\"49400832\"] \n  6 -> 8 [size =\"49400832\"]\n  6 -> 10 [size =\"49400832\"]\n  7 [size=\"47950507\", alpha=\"0.07\", expect_size=\"14385152\"] \n  7 -> 8 [size =\"14385152\"]\n  8 [size=\"142991360\", alpha=\"0.14\", expect_size=\"42897408\"] \n  8 -> 11 [size =\"42897408\"]\n  9 [size=\"105485653\", alpha=\"0.11\", expect_size=\"31645696\"] \n  9 -> 11 [size =\"31645696\"]\n  10 [size=\"62378667\", alpha=\"0.16\", expect_size=\"18713600\"] \n  10 -> 11 [size =\"18713600\"]\n  10 -> 12 [size =\"18713600\"]\n  11 [size=\"142202880\", alpha=\"0.07\", expect_size=\"42660864\"] \n  11 -> 13 [size =\"42660864\"]\n  11 -> 14 [size =\"42660864\"]\n  11 -> 15 [size =\"42660864\"]\n  12 [size=\"34921813\", alpha=\"0.16\", expect_size=\"10476544\"] \n  12 -> 13 [size =\"10476544\"]\n  12 -> 14 [size =\"10476544\"]\n  12 -> 15 [size =\"10476544\"]\n  13 [size=\"110284800\", alpha=\"0.14\", expect_size=\"33085440\"] \n  14 [size=\"104188587\", alpha=\"0.15\", expect_size=\"31256576\"] \n  15 [size=\"82090667\", alpha=\"0.19\", expect_size=\"24627200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105254400\", alpha=\"0.00\", expect_size=\"42101760\"] \n  1 -> 5 [size =\"42101760\"]\n  2 [size=\"25546240\", alpha=\"0.03\", expect_size=\"10218496\"] \n  3 [size=\"36472320\", alpha=\"0.03\", expect_size=\"14588928\"] \n  3 -> 4 [size =\"14588928\"]\n  3 -> 5 [size =\"14588928\"]\n  3 -> 6 [size =\"14588928\"]\n  4 [size=\"124861440\", alpha=\"0.03\", expect_size=\"49944576\"] \n  4 -> 8 [size =\"49944576\"]\n  5 [size=\"80849920\", alpha=\"0.02\", expect_size=\"32339968\"] \n  5 -> 8 [size =\"32339968\"]\n  6 [size=\"75896320\", alpha=\"0.19\", expect_size=\"30358528\"] \n  6 -> 7 [size =\"30358528\"]\n  7 [size=\"77404160\", alpha=\"0.14\", expect_size=\"30961664\"] \n  7 -> 9 [size =\"30961664\"]\n  7 -> 10 [size =\"30961664\"]\n  8 [size=\"114823680\", alpha=\"0.04\", expect_size=\"45929472\"] \n  8 -> 9 [size =\"45929472\"]\n  9 [size=\"121134080\", alpha=\"0.15\", expect_size=\"48453632\"] \n  9 -> 11 [size =\"48453632\"]\n  10 [size=\"20810240\", alpha=\"0.12\", expect_size=\"8324096\"] \n  10 -> 12 [size =\"8324096\"]\n  10 -> 13 [size =\"8324096\"]\n  11 [size=\"70333440\", alpha=\"0.11\", expect_size=\"28133376\"] \n  11 -> 14 [size =\"28133376\"]\n  11 -> 15 [size =\"28133376\"]\n  12 [size=\"71454720\", alpha=\"0.11\", expect_size=\"28581888\"] \n  12 -> 14 [size =\"28581888\"]\n  12 -> 15 [size =\"28581888\"]\n  13 [size=\"89410560\", alpha=\"0.12\", expect_size=\"35764224\"] \n  14 [size=\"109719040\", alpha=\"0.06\", expect_size=\"43887616\"] \n  15 [size=\"126412800\", alpha=\"0.05\", expect_size=\"50565120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121456640\", alpha=\"0.07\", expect_size=\"36436992\"] \n  2 [size=\"145346560\", alpha=\"0.12\", expect_size=\"43603968\"] \n  2 -> 8 [size =\"43603968\"]\n  3 [size=\"120971947\", alpha=\"0.02\", expect_size=\"36291584\"] \n  3 -> 6 [size =\"36291584\"]\n  3 -> 8 [size =\"36291584\"]\n  4 [size=\"21408427\", alpha=\"0.15\", expect_size=\"6422528\"] \n  4 -> 7 [size =\"6422528\"]\n  5 [size=\"63061333\", alpha=\"0.09\", expect_size=\"18918400\"] \n  5 -> 7 [size =\"18918400\"]\n  6 [size=\"144063147\", alpha=\"0.18\", expect_size=\"43218944\"] \n  6 -> 9 [size =\"43218944\"]\n  6 -> 10 [size =\"43218944\"]\n  6 -> 11 [size =\"43218944\"]\n  7 [size=\"121668267\", alpha=\"0.07\", expect_size=\"36500480\"] \n  7 -> 11 [size =\"36500480\"]\n  7 -> 12 [size =\"36500480\"]\n  8 [size=\"144462507\", alpha=\"0.19\", expect_size=\"43338752\"] \n  8 -> 13 [size =\"43338752\"]\n  9 [size=\"98529280\", alpha=\"0.02\", expect_size=\"29558784\"] \n  10 [size=\"163061760\", alpha=\"0.10\", expect_size=\"48918528\"] \n  10 -> 15 [size =\"48918528\"]\n  11 [size=\"67126613\", alpha=\"0.09\", expect_size=\"20137984\"] \n  11 -> 14 [size =\"20137984\"]\n  11 -> 15 [size =\"20137984\"]\n  12 [size=\"122825387\", alpha=\"0.11\", expect_size=\"36847616\"] \n  12 -> 14 [size =\"36847616\"]\n  12 -> 15 [size =\"36847616\"]\n  13 [size=\"61310293\", alpha=\"0.00\", expect_size=\"18393088\"] \n  14 [size=\"74489173\", alpha=\"0.17\", expect_size=\"22346752\"] \n  15 [size=\"35150507\", alpha=\"0.11\", expect_size=\"10545152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52544853\", alpha=\"0.17\", expect_size=\"15763456\"] \n  1 -> 6 [size =\"15763456\"]\n  1 -> 8 [size =\"15763456\"]\n  1 -> 9 [size =\"15763456\"]\n  1 -> 10 [size =\"15763456\"]\n  2 [size=\"78230187\", alpha=\"0.17\", expect_size=\"23469056\"] \n  3 [size=\"17838080\", alpha=\"0.09\", expect_size=\"5351424\"] \n  3 -> 10 [size =\"5351424\"]\n  4 [size=\"128228693\", alpha=\"0.07\", expect_size=\"38468608\"] \n  4 -> 8 [size =\"38468608\"]\n  4 -> 10 [size =\"38468608\"]\n  5 [size=\"117254827\", alpha=\"0.14\", expect_size=\"35176448\"] \n  5 -> 7 [size =\"35176448\"]\n  5 -> 9 [size =\"35176448\"]\n  5 -> 10 [size =\"35176448\"]\n  5 -> 11 [size =\"35176448\"]\n  6 [size=\"166891520\", alpha=\"0.15\", expect_size=\"50067456\"] \n  6 -> 15 [size =\"50067456\"]\n  7 [size=\"87760213\", alpha=\"0.13\", expect_size=\"26328064\"] \n  8 [size=\"59163307\", alpha=\"0.12\", expect_size=\"17748992\"] \n  8 -> 15 [size =\"17748992\"]\n  9 [size=\"152893440\", alpha=\"0.15\", expect_size=\"45868032\"] \n  9 -> 14 [size =\"45868032\"]\n  9 -> 15 [size =\"45868032\"]\n  10 [size=\"22101333\", alpha=\"0.10\", expect_size=\"6630400\"] \n  10 -> 12 [size =\"6630400\"]\n  11 [size=\"44267520\", alpha=\"0.01\", expect_size=\"13280256\"] \n  11 -> 13 [size =\"13280256\"]\n  12 [size=\"18698240\", alpha=\"0.05\", expect_size=\"5609472\"] \n  13 [size=\"149456213\", alpha=\"0.12\", expect_size=\"44836864\"] \n  14 [size=\"61511680\", alpha=\"0.04\", expect_size=\"18453504\"] \n  15 [size=\"117562027\", alpha=\"0.19\", expect_size=\"35268608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12101632\", alpha=\"0.10\", expect_size=\"6050816\"] \n  2 [size=\"73594880\", alpha=\"0.17\", expect_size=\"36797440\"] \n  2 -> 3 [size =\"36797440\"]\n  3 [size=\"65853440\", alpha=\"0.09\", expect_size=\"32926720\"] \n  3 -> 4 [size =\"32926720\"]\n  3 -> 5 [size =\"32926720\"]\n  4 [size=\"82903040\", alpha=\"0.03\", expect_size=\"41451520\"] \n  4 -> 6 [size =\"41451520\"]\n  5 [size=\"85479424\", alpha=\"0.00\", expect_size=\"42739712\"] \n  6 [size=\"35383296\", alpha=\"0.15\", expect_size=\"17691648\"] \n  6 -> 7 [size =\"17691648\"]\n  6 -> 8 [size =\"17691648\"]\n  7 [size=\"15951872\", alpha=\"0.03\", expect_size=\"7975936\"] \n  7 -> 9 [size =\"7975936\"]\n  8 [size=\"91475968\", alpha=\"0.18\", expect_size=\"45737984\"] \n  8 -> 9 [size =\"45737984\"]\n  9 [size=\"95494144\", alpha=\"0.05\", expect_size=\"47747072\"] \n  9 -> 10 [size =\"47747072\"]\n  10 [size=\"95889408\", alpha=\"0.18\", expect_size=\"47944704\"] \n  10 -> 11 [size =\"47944704\"]\n  10 -> 12 [size =\"47944704\"]\n  11 [size=\"27553792\", alpha=\"0.17\", expect_size=\"13776896\"] \n  11 -> 13 [size =\"13776896\"]\n  11 -> 14 [size =\"13776896\"]\n  12 [size=\"74913792\", alpha=\"0.00\", expect_size=\"37456896\"] \n  12 -> 14 [size =\"37456896\"]\n  13 [size=\"62441472\", alpha=\"0.13\", expect_size=\"31220736\"] \n  13 -> 15 [size =\"31220736\"]\n  14 [size=\"11661312\", alpha=\"0.08\", expect_size=\"5830656\"] \n  15 [size=\"25049088\", alpha=\"0.11\", expect_size=\"12524544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93457920\", alpha=\"0.06\", expect_size=\"37383168\"] \n  2 [size=\"98554880\", alpha=\"0.05\", expect_size=\"39421952\"] \n  2 -> 7 [size =\"39421952\"]\n  3 [size=\"65387520\", alpha=\"0.16\", expect_size=\"26155008\"] \n  3 -> 10 [size =\"26155008\"]\n  4 [size=\"107745280\", alpha=\"0.03\", expect_size=\"43098112\"] \n  4 -> 10 [size =\"43098112\"]\n  5 [size=\"105679360\", alpha=\"0.04\", expect_size=\"42271744\"] \n  5 -> 8 [size =\"42271744\"]\n  5 -> 9 [size =\"42271744\"]\n  6 [size=\"112911360\", alpha=\"0.17\", expect_size=\"45164544\"] \n  6 -> 7 [size =\"45164544\"]\n  6 -> 9 [size =\"45164544\"]\n  7 [size=\"42375680\", alpha=\"0.08\", expect_size=\"16950272\"] \n  7 -> 13 [size =\"16950272\"]\n  7 -> 15 [size =\"16950272\"]\n  8 [size=\"67642880\", alpha=\"0.01\", expect_size=\"27057152\"] \n  8 -> 12 [size =\"27057152\"]\n  8 -> 13 [size =\"27057152\"]\n  9 [size=\"29972480\", alpha=\"0.09\", expect_size=\"11988992\"] \n  10 [size=\"57733120\", alpha=\"0.13\", expect_size=\"23093248\"] \n  10 -> 11 [size =\"23093248\"]\n  10 -> 12 [size =\"23093248\"]\n  10 -> 14 [size =\"23093248\"]\n  11 [size=\"100160000\", alpha=\"0.15\", expect_size=\"40064000\"] \n  12 [size=\"17879040\", alpha=\"0.17\", expect_size=\"7151616\"] \n  13 [size=\"45094400\", alpha=\"0.18\", expect_size=\"18037760\"] \n  14 [size=\"21360640\", alpha=\"0.03\", expect_size=\"8544256\"] \n  15 [size=\"37557760\", alpha=\"0.02\", expect_size=\"15023104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101742592\", alpha=\"0.10\", expect_size=\"50871296\"] \n  1 -> 14 [size =\"50871296\"]\n  1 -> 15 [size =\"50871296\"]\n  2 [size=\"33755136\", alpha=\"0.14\", expect_size=\"16877568\"] \n  2 -> 12 [size =\"16877568\"]\n  2 -> 15 [size =\"16877568\"]\n  3 [size=\"43005952\", alpha=\"0.01\", expect_size=\"21502976\"] \n  4 [size=\"69574656\", alpha=\"0.08\", expect_size=\"34787328\"] \n  4 -> 11 [size =\"34787328\"]\n  5 [size=\"69453824\", alpha=\"0.16\", expect_size=\"34726912\"] \n  5 -> 10 [size =\"34726912\"]\n  5 -> 11 [size =\"34726912\"]\n  5 -> 15 [size =\"34726912\"]\n  6 [size=\"79454208\", alpha=\"0.08\", expect_size=\"39727104\"] \n  6 -> 14 [size =\"39727104\"]\n  6 -> 15 [size =\"39727104\"]\n  7 [size=\"59498496\", alpha=\"0.02\", expect_size=\"29749248\"] \n  7 -> 12 [size =\"29749248\"]\n  7 -> 13 [size =\"29749248\"]\n  8 [size=\"73596928\", alpha=\"0.14\", expect_size=\"36798464\"] \n  8 -> 10 [size =\"36798464\"]\n  8 -> 13 [size =\"36798464\"]\n  9 [size=\"103340032\", alpha=\"0.09\", expect_size=\"51670016\"] \n  9 -> 10 [size =\"51670016\"]\n  9 -> 14 [size =\"51670016\"]\n  10 [size=\"65245184\", alpha=\"0.14\", expect_size=\"32622592\"] \n  11 [size=\"68380672\", alpha=\"0.00\", expect_size=\"34190336\"] \n  12 [size=\"19599360\", alpha=\"0.19\", expect_size=\"9799680\"] \n  13 [size=\"83986432\", alpha=\"0.11\", expect_size=\"41993216\"] \n  14 [size=\"89643008\", alpha=\"0.14\", expect_size=\"44821504\"] \n  15 [size=\"31287296\", alpha=\"0.08\", expect_size=\"15643648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87592960\", alpha=\"0.20\", expect_size=\"26277888\"] \n  1 -> 2 [size =\"26277888\"]\n  1 -> 3 [size =\"26277888\"]\n  2 [size=\"33689600\", alpha=\"0.14\", expect_size=\"10106880\"] \n  2 -> 4 [size =\"10106880\"]\n  2 -> 5 [size =\"10106880\"]\n  3 [size=\"57333760\", alpha=\"0.05\", expect_size=\"17200128\"] \n  3 -> 4 [size =\"17200128\"]\n  3 -> 5 [size =\"17200128\"]\n  4 [size=\"120814933\", alpha=\"0.00\", expect_size=\"36244480\"] \n  4 -> 7 [size =\"36244480\"]\n  5 [size=\"159440213\", alpha=\"0.03\", expect_size=\"47832064\"] \n  5 -> 6 [size =\"47832064\"]\n  5 -> 7 [size =\"47832064\"]\n  6 [size=\"158013440\", alpha=\"0.12\", expect_size=\"47404032\"] \n  6 -> 8 [size =\"47404032\"]\n  7 [size=\"48339627\", alpha=\"0.01\", expect_size=\"14501888\"] \n  7 -> 8 [size =\"14501888\"]\n  8 [size=\"25900373\", alpha=\"0.01\", expect_size=\"7770112\"] \n  8 -> 9 [size =\"7770112\"]\n  9 [size=\"80762880\", alpha=\"0.14\", expect_size=\"24228864\"] \n  9 -> 10 [size =\"24228864\"]\n  9 -> 11 [size =\"24228864\"]\n  10 [size=\"123170133\", alpha=\"0.20\", expect_size=\"36951040\"] \n  11 [size=\"56449707\", alpha=\"0.18\", expect_size=\"16934912\"] \n  11 -> 12 [size =\"16934912\"]\n  12 [size=\"53565440\", alpha=\"0.01\", expect_size=\"16069632\"] \n  12 -> 13 [size =\"16069632\"]\n  13 [size=\"160389120\", alpha=\"0.03\", expect_size=\"48116736\"] \n  13 -> 14 [size =\"48116736\"]\n  14 [size=\"41137493\", alpha=\"0.12\", expect_size=\"12341248\"] \n  14 -> 15 [size =\"12341248\"]\n  15 [size=\"43601920\", alpha=\"0.10\", expect_size=\"13080576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38016000\", alpha=\"0.08\", expect_size=\"15206400\"] \n  1 -> 5 [size =\"15206400\"]\n  1 -> 6 [size =\"15206400\"]\n  1 -> 7 [size =\"15206400\"]\n  1 -> 8 [size =\"15206400\"]\n  2 [size=\"113704960\", alpha=\"0.19\", expect_size=\"45481984\"] \n  2 -> 6 [size =\"45481984\"]\n  2 -> 7 [size =\"45481984\"]\n  2 -> 7 [size =\"45481984\"]\n  2 -> 8 [size =\"45481984\"]\n  3 [size=\"23303680\", alpha=\"0.04\", expect_size=\"9321472\"] \n  3 -> 6 [size =\"9321472\"]\n  4 [size=\"80962560\", alpha=\"0.01\", expect_size=\"32385024\"] \n  4 -> 5 [size =\"32385024\"]\n  4 -> 7 [size =\"32385024\"]\n  5 [size=\"75665920\", alpha=\"0.20\", expect_size=\"30266368\"] \n  5 -> 10 [size =\"30266368\"]\n  5 -> 11 [size =\"30266368\"]\n  5 -> 12 [size =\"30266368\"]\n  6 [size=\"19123200\", alpha=\"0.01\", expect_size=\"7649280\"] \n  6 -> 9 [size =\"7649280\"]\n  6 -> 11 [size =\"7649280\"]\n  6 -> 12 [size =\"7649280\"]\n  7 [size=\"119726080\", alpha=\"0.06\", expect_size=\"47890432\"] \n  7 -> 9 [size =\"47890432\"]\n  7 -> 10 [size =\"47890432\"]\n  7 -> 11 [size =\"47890432\"]\n  7 -> 12 [size =\"47890432\"]\n  8 [size=\"81779200\", alpha=\"0.16\", expect_size=\"32711680\"] \n  8 -> 9 [size =\"32711680\"]\n  8 -> 11 [size =\"32711680\"]\n  8 -> 12 [size =\"32711680\"]\n  9 [size=\"45964800\", alpha=\"0.11\", expect_size=\"18385920\"] \n  9 -> 13 [size =\"18385920\"]\n  9 -> 14 [size =\"18385920\"]\n  10 [size=\"65177600\", alpha=\"0.14\", expect_size=\"26071040\"] \n  10 -> 13 [size =\"26071040\"]\n  10 -> 14 [size =\"26071040\"]\n  11 [size=\"76738560\", alpha=\"0.17\", expect_size=\"30695424\"] \n  11 -> 13 [size =\"30695424\"]\n  11 -> 14 [size =\"30695424\"]\n  11 -> 15 [size =\"30695424\"]\n  12 [size=\"122245120\", alpha=\"0.08\", expect_size=\"48898048\"] \n  12 -> 13 [size =\"48898048\"]\n  12 -> 14 [size =\"48898048\"]\n  13 [size=\"115796480\", alpha=\"0.13\", expect_size=\"46318592\"] \n  14 [size=\"21754880\", alpha=\"0.05\", expect_size=\"8701952\"] \n  15 [size=\"25704960\", alpha=\"0.00\", expect_size=\"10281984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115602773\", alpha=\"0.02\", expect_size=\"34680832\"] \n  1 -> 3 [size =\"34680832\"]\n  2 [size=\"98720427\", alpha=\"0.11\", expect_size=\"29616128\"] \n  2 -> 3 [size =\"29616128\"]\n  3 [size=\"169441280\", alpha=\"0.16\", expect_size=\"50832384\"] \n  3 -> 4 [size =\"50832384\"]\n  3 -> 5 [size =\"50832384\"]\n  4 [size=\"158566400\", alpha=\"0.19\", expect_size=\"47569920\"] \n  5 [size=\"125702827\", alpha=\"0.18\", expect_size=\"37710848\"] \n  5 -> 6 [size =\"37710848\"]\n  6 [size=\"65628160\", alpha=\"0.05\", expect_size=\"19688448\"] \n  6 -> 7 [size =\"19688448\"]\n  6 -> 8 [size =\"19688448\"]\n  7 [size=\"51292160\", alpha=\"0.19\", expect_size=\"15387648\"] \n  7 -> 9 [size =\"15387648\"]\n  8 [size=\"67095893\", alpha=\"0.19\", expect_size=\"20128768\"] \n  8 -> 9 [size =\"20128768\"]\n  8 -> 10 [size =\"20128768\"]\n  9 [size=\"32754347\", alpha=\"0.11\", expect_size=\"9826304\"] \n  9 -> 12 [size =\"9826304\"]\n  10 [size=\"122412373\", alpha=\"0.10\", expect_size=\"36723712\"] \n  10 -> 11 [size =\"36723712\"]\n  11 [size=\"71413760\", alpha=\"0.02\", expect_size=\"21424128\"] \n  11 -> 13 [size =\"21424128\"]\n  11 -> 14 [size =\"21424128\"]\n  12 [size=\"86418773\", alpha=\"0.06\", expect_size=\"25925632\"] \n  12 -> 13 [size =\"25925632\"]\n  12 -> 14 [size =\"25925632\"]\n  13 [size=\"19087360\", alpha=\"0.14\", expect_size=\"5726208\"] \n  13 -> 15 [size =\"5726208\"]\n  14 [size=\"147015680\", alpha=\"0.12\", expect_size=\"44104704\"] \n  14 -> 15 [size =\"44104704\"]\n  15 [size=\"139120640\", alpha=\"0.19\", expect_size=\"41736192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70659413\", alpha=\"0.16\", expect_size=\"21197824\"] \n  1 -> 4 [size =\"21197824\"]\n  1 -> 6 [size =\"21197824\"]\n  2 [size=\"63730347\", alpha=\"0.08\", expect_size=\"19119104\"] \n  2 -> 4 [size =\"19119104\"]\n  2 -> 5 [size =\"19119104\"]\n  2 -> 6 [size =\"19119104\"]\n  3 [size=\"67850240\", alpha=\"0.11\", expect_size=\"20355072\"] \n  3 -> 5 [size =\"20355072\"]\n  3 -> 5 [size =\"20355072\"]\n  4 [size=\"78322347\", alpha=\"0.07\", expect_size=\"23496704\"] \n  4 -> 7 [size =\"23496704\"]\n  5 [size=\"62347947\", alpha=\"0.12\", expect_size=\"18704384\"] \n  5 -> 7 [size =\"18704384\"]\n  5 -> 8 [size =\"18704384\"]\n  6 [size=\"64481280\", alpha=\"0.13\", expect_size=\"19344384\"] \n  6 -> 8 [size =\"19344384\"]\n  7 [size=\"59654827\", alpha=\"0.03\", expect_size=\"17896448\"] \n  7 -> 9 [size =\"17896448\"]\n  7 -> 10 [size =\"17896448\"]\n  7 -> 11 [size =\"17896448\"]\n  8 [size=\"34682880\", alpha=\"0.02\", expect_size=\"10404864\"] \n  8 -> 9 [size =\"10404864\"]\n  8 -> 10 [size =\"10404864\"]\n  8 -> 11 [size =\"10404864\"]\n  9 [size=\"104222720\", alpha=\"0.18\", expect_size=\"31266816\"] \n  9 -> 12 [size =\"31266816\"]\n  10 [size=\"165178027\", alpha=\"0.07\", expect_size=\"49553408\"] \n  10 -> 13 [size =\"49553408\"]\n  11 [size=\"167116800\", alpha=\"0.08\", expect_size=\"50135040\"] \n  12 [size=\"133686613\", alpha=\"0.11\", expect_size=\"40105984\"] \n  12 -> 15 [size =\"40105984\"]\n  13 [size=\"42448213\", alpha=\"0.07\", expect_size=\"12734464\"] \n  13 -> 14 [size =\"12734464\"]\n  14 [size=\"129880747\", alpha=\"0.12\", expect_size=\"38964224\"] \n  15 [size=\"26487467\", alpha=\"0.16\", expect_size=\"7946240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15874560\", alpha=\"0.09\", expect_size=\"6349824\"] \n  1 -> 6 [size =\"6349824\"]\n  1 -> 8 [size =\"6349824\"]\n  1 -> 9 [size =\"6349824\"]\n  2 [size=\"78912000\", alpha=\"0.08\", expect_size=\"31564800\"] \n  2 -> 8 [size =\"31564800\"]\n  2 -> 9 [size =\"31564800\"]\n  3 [size=\"67456000\", alpha=\"0.05\", expect_size=\"26982400\"] \n  3 -> 7 [size =\"26982400\"]\n  3 -> 9 [size =\"26982400\"]\n  4 [size=\"27235840\", alpha=\"0.11\", expect_size=\"10894336\"] \n  4 -> 8 [size =\"10894336\"]\n  5 [size=\"107778560\", alpha=\"0.07\", expect_size=\"43111424\"] \n  5 -> 7 [size =\"43111424\"]\n  6 [size=\"91873280\", alpha=\"0.05\", expect_size=\"36749312\"] \n  6 -> 10 [size =\"36749312\"]\n  6 -> 11 [size =\"36749312\"]\n  6 -> 12 [size =\"36749312\"]\n  7 [size=\"119603200\", alpha=\"0.17\", expect_size=\"47841280\"] \n  7 -> 10 [size =\"47841280\"]\n  7 -> 13 [size =\"47841280\"]\n  8 [size=\"98304000\", alpha=\"0.11\", expect_size=\"39321600\"] \n  8 -> 14 [size =\"39321600\"]\n  8 -> 15 [size =\"39321600\"]\n  9 [size=\"130429440\", alpha=\"0.14\", expect_size=\"52171776\"] \n  9 -> 10 [size =\"52171776\"]\n  9 -> 13 [size =\"52171776\"]\n  10 [size=\"104750080\", alpha=\"0.17\", expect_size=\"41900032\"] \n  11 [size=\"103784960\", alpha=\"0.04\", expect_size=\"41513984\"] \n  12 [size=\"39232000\", alpha=\"0.06\", expect_size=\"15692800\"] \n  13 [size=\"86069760\", alpha=\"0.09\", expect_size=\"34427904\"] \n  14 [size=\"114629120\", alpha=\"0.17\", expect_size=\"45851648\"] \n  15 [size=\"60029440\", alpha=\"0.20\", expect_size=\"24011776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98027520\", alpha=\"0.08\", expect_size=\"39211008\"] \n  1 -> 2 [size =\"39211008\"]\n  2 [size=\"78179840\", alpha=\"0.17\", expect_size=\"31271936\"] \n  2 -> 3 [size =\"31271936\"]\n  3 [size=\"73016320\", alpha=\"0.02\", expect_size=\"29206528\"] \n  3 -> 4 [size =\"29206528\"]\n  4 [size=\"33968640\", alpha=\"0.20\", expect_size=\"13587456\"] \n  4 -> 5 [size =\"13587456\"]\n  5 [size=\"57861120\", alpha=\"0.06\", expect_size=\"23144448\"] \n  5 -> 6 [size =\"23144448\"]\n  6 [size=\"72168960\", alpha=\"0.06\", expect_size=\"28867584\"] \n  6 -> 7 [size =\"28867584\"]\n  7 [size=\"83302400\", alpha=\"0.20\", expect_size=\"33320960\"] \n  7 -> 8 [size =\"33320960\"]\n  8 [size=\"70440960\", alpha=\"0.14\", expect_size=\"28176384\"] \n  8 -> 9 [size =\"28176384\"]\n  9 [size=\"70883840\", alpha=\"0.17\", expect_size=\"28353536\"] \n  9 -> 10 [size =\"28353536\"]\n  10 [size=\"78028800\", alpha=\"0.17\", expect_size=\"31211520\"] \n  10 -> 11 [size =\"31211520\"]\n  11 [size=\"20682240\", alpha=\"0.07\", expect_size=\"8272896\"] \n  11 -> 12 [size =\"8272896\"]\n  12 [size=\"66629120\", alpha=\"0.14\", expect_size=\"26651648\"] \n  12 -> 13 [size =\"26651648\"]\n  13 [size=\"51573760\", alpha=\"0.05\", expect_size=\"20629504\"] \n  13 -> 14 [size =\"20629504\"]\n  14 [size=\"63784960\", alpha=\"0.13\", expect_size=\"25513984\"] \n  14 -> 15 [size =\"25513984\"]\n  15 [size=\"61242880\", alpha=\"0.04\", expect_size=\"24497152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29550592\", alpha=\"0.11\", expect_size=\"14775296\"] \n  1 -> 15 [size =\"14775296\"]\n  2 [size=\"42145792\", alpha=\"0.16\", expect_size=\"21072896\"] \n  2 -> 12 [size =\"21072896\"]\n  3 [size=\"68825088\", alpha=\"0.14\", expect_size=\"34412544\"] \n  3 -> 14 [size =\"34412544\"]\n  3 -> 15 [size =\"34412544\"]\n  4 [size=\"94339072\", alpha=\"0.12\", expect_size=\"47169536\"] \n  4 -> 14 [size =\"47169536\"]\n  4 -> 15 [size =\"47169536\"]\n  5 [size=\"10684416\", alpha=\"0.07\", expect_size=\"5342208\"] \n  5 -> 11 [size =\"5342208\"]\n  5 -> 12 [size =\"5342208\"]\n  5 -> 13 [size =\"5342208\"]\n  5 -> 14 [size =\"5342208\"]\n  6 [size=\"50499584\", alpha=\"0.04\", expect_size=\"25249792\"] \n  6 -> 11 [size =\"25249792\"]\n  6 -> 12 [size =\"25249792\"]\n  6 -> 13 [size =\"25249792\"]\n  6 -> 14 [size =\"25249792\"]\n  6 -> 15 [size =\"25249792\"]\n  7 [size=\"12767232\", alpha=\"0.19\", expect_size=\"6383616\"] \n  7 -> 11 [size =\"6383616\"]\n  7 -> 12 [size =\"6383616\"]\n  7 -> 14 [size =\"6383616\"]\n  7 -> 15 [size =\"6383616\"]\n  7 -> 15 [size =\"6383616\"]\n  8 [size=\"91090944\", alpha=\"0.18\", expect_size=\"45545472\"] \n  8 -> 11 [size =\"45545472\"]\n  9 [size=\"96151552\", alpha=\"0.14\", expect_size=\"48075776\"] \n  9 -> 13 [size =\"48075776\"]\n  10 [size=\"100890624\", alpha=\"0.19\", expect_size=\"50445312\"] \n  10 -> 11 [size =\"50445312\"]\n  11 [size=\"83189760\", alpha=\"0.16\", expect_size=\"41594880\"] \n  12 [size=\"41185280\", alpha=\"0.06\", expect_size=\"20592640\"] \n  13 [size=\"22988800\", alpha=\"0.12\", expect_size=\"11494400\"] \n  14 [size=\"87738368\", alpha=\"0.06\", expect_size=\"43869184\"] \n  15 [size=\"49903616\", alpha=\"0.19\", expect_size=\"24951808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126163627\", alpha=\"0.10\", expect_size=\"37849088\"] \n  1 -> 7 [size =\"37849088\"]\n  1 -> 8 [size =\"37849088\"]\n  1 -> 9 [size =\"37849088\"]\n  1 -> 12 [size =\"37849088\"]\n  2 [size=\"92767573\", alpha=\"0.15\", expect_size=\"27830272\"] \n  2 -> 7 [size =\"27830272\"]\n  2 -> 9 [size =\"27830272\"]\n  2 -> 11 [size =\"27830272\"]\n  2 -> 12 [size =\"27830272\"]\n  3 [size=\"138222933\", alpha=\"0.19\", expect_size=\"41466880\"] \n  3 -> 8 [size =\"41466880\"]\n  3 -> 9 [size =\"41466880\"]\n  3 -> 11 [size =\"41466880\"]\n  3 -> 12 [size =\"41466880\"]\n  4 [size=\"83828053\", alpha=\"0.07\", expect_size=\"25148416\"] \n  4 -> 7 [size =\"25148416\"]\n  4 -> 8 [size =\"25148416\"]\n  4 -> 9 [size =\"25148416\"]\n  4 -> 10 [size =\"25148416\"]\n  4 -> 11 [size =\"25148416\"]\n  5 [size=\"100829867\", alpha=\"0.00\", expect_size=\"30248960\"] \n  5 -> 9 [size =\"30248960\"]\n  5 -> 10 [size =\"30248960\"]\n  5 -> 11 [size =\"30248960\"]\n  5 -> 12 [size =\"30248960\"]\n  6 [size=\"103959893\", alpha=\"0.10\", expect_size=\"31187968\"] \n  6 -> 7 [size =\"31187968\"]\n  6 -> 8 [size =\"31187968\"]\n  6 -> 9 [size =\"31187968\"]\n  6 -> 12 [size =\"31187968\"]\n  7 [size=\"156518400\", alpha=\"0.15\", expect_size=\"46955520\"] \n  7 -> 14 [size =\"46955520\"]\n  7 -> 15 [size =\"46955520\"]\n  8 [size=\"93487787\", alpha=\"0.15\", expect_size=\"28046336\"] \n  8 -> 13 [size =\"28046336\"]\n  8 -> 14 [size =\"28046336\"]\n  8 -> 15 [size =\"28046336\"]\n  9 [size=\"93405867\", alpha=\"0.05\", expect_size=\"28021760\"] \n  9 -> 14 [size =\"28021760\"]\n  9 -> 15 [size =\"28021760\"]\n  10 [size=\"162123093\", alpha=\"0.04\", expect_size=\"48636928\"] \n  10 -> 15 [size =\"48636928\"]\n  11 [size=\"171072853\", alpha=\"0.01\", expect_size=\"51321856\"] \n  11 -> 13 [size =\"51321856\"]\n  11 -> 14 [size =\"51321856\"]\n  11 -> 15 [size =\"51321856\"]\n  12 [size=\"93904213\", alpha=\"0.04\", expect_size=\"28171264\"] \n  12 -> 14 [size =\"28171264\"]\n  12 -> 15 [size =\"28171264\"]\n  13 [size=\"55992320\", alpha=\"0.01\", expect_size=\"16797696\"] \n  14 [size=\"46503253\", alpha=\"0.17\", expect_size=\"13950976\"] \n  15 [size=\"101014187\", alpha=\"0.13\", expect_size=\"30304256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16689152\", alpha=\"0.19\", expect_size=\"8344576\"] \n  1 -> 2 [size =\"8344576\"]\n  2 [size=\"41963520\", alpha=\"0.14\", expect_size=\"20981760\"] \n  2 -> 3 [size =\"20981760\"]\n  3 [size=\"32747520\", alpha=\"0.12\", expect_size=\"16373760\"] \n  3 -> 4 [size =\"16373760\"]\n  4 [size=\"67946496\", alpha=\"0.17\", expect_size=\"33973248\"] \n  4 -> 5 [size =\"33973248\"]\n  5 [size=\"74475520\", alpha=\"0.02\", expect_size=\"37237760\"] \n  5 -> 6 [size =\"37237760\"]\n  6 [size=\"103450624\", alpha=\"0.15\", expect_size=\"51725312\"] \n  6 -> 7 [size =\"51725312\"]\n  7 [size=\"85454848\", alpha=\"0.13\", expect_size=\"42727424\"] \n  7 -> 8 [size =\"42727424\"]\n  8 [size=\"64653312\", alpha=\"0.01\", expect_size=\"32326656\"] \n  8 -> 9 [size =\"32326656\"]\n  9 [size=\"86562816\", alpha=\"0.06\", expect_size=\"43281408\"] \n  9 -> 10 [size =\"43281408\"]\n  10 [size=\"12578816\", alpha=\"0.10\", expect_size=\"6289408\"] \n  10 -> 11 [size =\"6289408\"]\n  11 [size=\"58808320\", alpha=\"0.04\", expect_size=\"29404160\"] \n  11 -> 12 [size =\"29404160\"]\n  12 [size=\"54857728\", alpha=\"0.04\", expect_size=\"27428864\"] \n  12 -> 13 [size =\"27428864\"]\n  13 [size=\"24260608\", alpha=\"0.02\", expect_size=\"12130304\"] \n  13 -> 14 [size =\"12130304\"]\n  14 [size=\"81332224\", alpha=\"0.19\", expect_size=\"40666112\"] \n  14 -> 15 [size =\"40666112\"]\n  15 [size=\"66002944\", alpha=\"0.17\", expect_size=\"33001472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99560960\", alpha=\"0.07\", expect_size=\"39824384\"] \n  1 -> 2 [size =\"39824384\"]\n  2 [size=\"50462720\", alpha=\"0.10\", expect_size=\"20185088\"] \n  2 -> 3 [size =\"20185088\"]\n  3 [size=\"24058880\", alpha=\"0.05\", expect_size=\"9623552\"] \n  3 -> 4 [size =\"9623552\"]\n  4 [size=\"112312320\", alpha=\"0.07\", expect_size=\"44924928\"] \n  4 -> 5 [size =\"44924928\"]\n  4 -> 6 [size =\"44924928\"]\n  5 [size=\"104230400\", alpha=\"0.12\", expect_size=\"41692160\"] \n  5 -> 7 [size =\"41692160\"]\n  6 [size=\"51763200\", alpha=\"0.02\", expect_size=\"20705280\"] \n  7 [size=\"26833920\", alpha=\"0.05\", expect_size=\"10733568\"] \n  7 -> 8 [size =\"10733568\"]\n  7 -> 9 [size =\"10733568\"]\n  8 [size=\"49057280\", alpha=\"0.13\", expect_size=\"19622912\"] \n  9 [size=\"59607040\", alpha=\"0.17\", expect_size=\"23842816\"] \n  9 -> 10 [size =\"23842816\"]\n  9 -> 11 [size =\"23842816\"]\n  10 [size=\"53944320\", alpha=\"0.14\", expect_size=\"21577728\"] \n  10 -> 13 [size =\"21577728\"]\n  11 [size=\"130050560\", alpha=\"0.15\", expect_size=\"52020224\"] \n  11 -> 12 [size =\"52020224\"]\n  12 [size=\"52024320\", alpha=\"0.05\", expect_size=\"20809728\"] \n  12 -> 15 [size =\"20809728\"]\n  13 [size=\"109762560\", alpha=\"0.05\", expect_size=\"43905024\"] \n  13 -> 14 [size =\"43905024\"]\n  14 [size=\"18383360\", alpha=\"0.01\", expect_size=\"7353344\"] \n  15 [size=\"59773440\", alpha=\"0.18\", expect_size=\"23909376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20295680\", alpha=\"0.13\", expect_size=\"6088704\"] \n  1 -> 10 [size =\"6088704\"]\n  1 -> 11 [size =\"6088704\"]\n  1 -> 12 [size =\"6088704\"]\n  1 -> 14 [size =\"6088704\"]\n  1 -> 15 [size =\"6088704\"]\n  2 [size=\"42717867\", alpha=\"0.12\", expect_size=\"12815360\"] \n  2 -> 10 [size =\"12815360\"]\n  2 -> 12 [size =\"12815360\"]\n  2 -> 12 [size =\"12815360\"]\n  2 -> 13 [size =\"12815360\"]\n  3 [size=\"167106560\", alpha=\"0.15\", expect_size=\"50131968\"] \n  4 [size=\"74151253\", alpha=\"0.18\", expect_size=\"22245376\"] \n  4 -> 10 [size =\"22245376\"]\n  4 -> 11 [size =\"22245376\"]\n  4 -> 15 [size =\"22245376\"]\n  5 [size=\"167287467\", alpha=\"0.19\", expect_size=\"50186240\"] \n  5 -> 10 [size =\"50186240\"]\n  5 -> 12 [size =\"50186240\"]\n  5 -> 14 [size =\"50186240\"]\n  6 [size=\"19179520\", alpha=\"0.13\", expect_size=\"5753856\"] \n  6 -> 10 [size =\"5753856\"]\n  6 -> 11 [size =\"5753856\"]\n  6 -> 12 [size =\"5753856\"]\n  6 -> 15 [size =\"5753856\"]\n  7 [size=\"89866240\", alpha=\"0.13\", expect_size=\"26959872\"] \n  7 -> 14 [size =\"26959872\"]\n  7 -> 15 [size =\"26959872\"]\n  8 [size=\"30634667\", alpha=\"0.16\", expect_size=\"9190400\"] \n  8 -> 11 [size =\"9190400\"]\n  8 -> 15 [size =\"9190400\"]\n  9 [size=\"44274347\", alpha=\"0.06\", expect_size=\"13282304\"] \n  9 -> 10 [size =\"13282304\"]\n  9 -> 12 [size =\"13282304\"]\n  9 -> 15 [size =\"13282304\"]\n  10 [size=\"150637227\", alpha=\"0.14\", expect_size=\"45191168\"] \n  11 [size=\"118070613\", alpha=\"0.08\", expect_size=\"35421184\"] \n  12 [size=\"64860160\", alpha=\"0.12\", expect_size=\"19458048\"] \n  13 [size=\"156187307\", alpha=\"0.08\", expect_size=\"46856192\"] \n  14 [size=\"116404907\", alpha=\"0.11\", expect_size=\"34921472\"] \n  15 [size=\"103017813\", alpha=\"0.19\", expect_size=\"30905344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103045120\", alpha=\"0.04\", expect_size=\"51522560\"] \n  1 -> 4 [size =\"51522560\"]\n  2 [size=\"99194880\", alpha=\"0.09\", expect_size=\"49597440\"] \n  2 -> 3 [size =\"49597440\"]\n  3 [size=\"40994816\", alpha=\"0.11\", expect_size=\"20497408\"] \n  3 -> 5 [size =\"20497408\"]\n  3 -> 6 [size =\"20497408\"]\n  4 [size=\"56979456\", alpha=\"0.02\", expect_size=\"28489728\"] \n  4 -> 6 [size =\"28489728\"]\n  5 [size=\"63442944\", alpha=\"0.17\", expect_size=\"31721472\"] \n  5 -> 7 [size =\"31721472\"]\n  5 -> 8 [size =\"31721472\"]\n  6 [size=\"103571456\", alpha=\"0.02\", expect_size=\"51785728\"] \n  6 -> 7 [size =\"51785728\"]\n  6 -> 8 [size =\"51785728\"]\n  7 [size=\"90806272\", alpha=\"0.20\", expect_size=\"45403136\"] \n  8 [size=\"27607040\", alpha=\"0.12\", expect_size=\"13803520\"] \n  8 -> 9 [size =\"13803520\"]\n  9 [size=\"86624256\", alpha=\"0.13\", expect_size=\"43312128\"] \n  9 -> 10 [size =\"43312128\"]\n  9 -> 11 [size =\"43312128\"]\n  10 [size=\"49342464\", alpha=\"0.16\", expect_size=\"24671232\"] \n  11 [size=\"55564288\", alpha=\"0.02\", expect_size=\"27782144\"] \n  11 -> 12 [size =\"27782144\"]\n  11 -> 13 [size =\"27782144\"]\n  12 [size=\"73381888\", alpha=\"0.12\", expect_size=\"36690944\"] \n  12 -> 14 [size =\"36690944\"]\n  13 [size=\"20680704\", alpha=\"0.19\", expect_size=\"10340352\"] \n  14 [size=\"72275968\", alpha=\"0.08\", expect_size=\"36137984\"] \n  14 -> 15 [size =\"36137984\"]\n  15 [size=\"83040256\", alpha=\"0.00\", expect_size=\"41520128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99443200\", alpha=\"0.18\", expect_size=\"39777280\"] \n  1 -> 10 [size =\"39777280\"]\n  1 -> 12 [size =\"39777280\"]\n  2 [size=\"18754560\", alpha=\"0.15\", expect_size=\"7501824\"] \n  2 -> 10 [size =\"7501824\"]\n  2 -> 11 [size =\"7501824\"]\n  2 -> 12 [size =\"7501824\"]\n  3 [size=\"93114880\", alpha=\"0.16\", expect_size=\"37245952\"] \n  3 -> 13 [size =\"37245952\"]\n  3 -> 15 [size =\"37245952\"]\n  4 [size=\"14745600\", alpha=\"0.13\", expect_size=\"5898240\"] \n  4 -> 10 [size =\"5898240\"]\n  4 -> 11 [size =\"5898240\"]\n  4 -> 14 [size =\"5898240\"]\n  5 [size=\"63362560\", alpha=\"0.14\", expect_size=\"25345024\"] \n  5 -> 12 [size =\"25345024\"]\n  5 -> 14 [size =\"25345024\"]\n  6 [size=\"22118400\", alpha=\"0.06\", expect_size=\"8847360\"] \n  6 -> 11 [size =\"8847360\"]\n  6 -> 12 [size =\"8847360\"]\n  6 -> 13 [size =\"8847360\"]\n  6 -> 15 [size =\"8847360\"]\n  7 [size=\"43745280\", alpha=\"0.10\", expect_size=\"17498112\"] \n  7 -> 10 [size =\"17498112\"]\n  7 -> 11 [size =\"17498112\"]\n  7 -> 14 [size =\"17498112\"]\n  8 [size=\"81520640\", alpha=\"0.04\", expect_size=\"32608256\"] \n  8 -> 10 [size =\"32608256\"]\n  8 -> 14 [size =\"32608256\"]\n  8 -> 15 [size =\"32608256\"]\n  9 [size=\"74836480\", alpha=\"0.03\", expect_size=\"29934592\"] \n  9 -> 10 [size =\"29934592\"]\n  9 -> 12 [size =\"29934592\"]\n  9 -> 13 [size =\"29934592\"]\n  10 [size=\"27043840\", alpha=\"0.10\", expect_size=\"10817536\"] \n  11 [size=\"20889600\", alpha=\"0.10\", expect_size=\"8355840\"] \n  12 [size=\"127150080\", alpha=\"0.03\", expect_size=\"50860032\"] \n  13 [size=\"99322880\", alpha=\"0.06\", expect_size=\"39729152\"] \n  14 [size=\"74406400\", alpha=\"0.01\", expect_size=\"29762560\"] \n  15 [size=\"30330880\", alpha=\"0.06\", expect_size=\"12132352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71045120\", alpha=\"0.10\", expect_size=\"35522560\"] \n  1 -> 7 [size =\"35522560\"]\n  1 -> 9 [size =\"35522560\"]\n  2 [size=\"41629696\", alpha=\"0.16\", expect_size=\"20814848\"] \n  2 -> 6 [size =\"20814848\"]\n  2 -> 10 [size =\"20814848\"]\n  3 [size=\"86980608\", alpha=\"0.07\", expect_size=\"43490304\"] \n  3 -> 4 [size =\"43490304\"]\n  3 -> 5 [size =\"43490304\"]\n  3 -> 7 [size =\"43490304\"]\n  3 -> 8 [size =\"43490304\"]\n  3 -> 10 [size =\"43490304\"]\n  4 [size=\"13787136\", alpha=\"0.18\", expect_size=\"6893568\"] \n  5 [size=\"24643584\", alpha=\"0.12\", expect_size=\"12321792\"] \n  5 -> 11 [size =\"12321792\"]\n  5 -> 12 [size =\"12321792\"]\n  5 -> 15 [size =\"12321792\"]\n  6 [size=\"34275328\", alpha=\"0.08\", expect_size=\"17137664\"] \n  6 -> 11 [size =\"17137664\"]\n  7 [size=\"35270656\", alpha=\"0.16\", expect_size=\"17635328\"] \n  7 -> 12 [size =\"17635328\"]\n  7 -> 14 [size =\"17635328\"]\n  8 [size=\"94185472\", alpha=\"0.18\", expect_size=\"47092736\"] \n  8 -> 12 [size =\"47092736\"]\n  8 -> 13 [size =\"47092736\"]\n  9 [size=\"68272128\", alpha=\"0.14\", expect_size=\"34136064\"] \n  9 -> 14 [size =\"34136064\"]\n  10 [size=\"69107712\", alpha=\"0.10\", expect_size=\"34553856\"] \n  10 -> 12 [size =\"34553856\"]\n  10 -> 15 [size =\"34553856\"]\n  11 [size=\"53204992\", alpha=\"0.05\", expect_size=\"26602496\"] \n  12 [size=\"98768896\", alpha=\"0.12\", expect_size=\"49384448\"] \n  13 [size=\"78129152\", alpha=\"0.18\", expect_size=\"39064576\"] \n  14 [size=\"14737408\", alpha=\"0.02\", expect_size=\"7368704\"] \n  15 [size=\"99485696\", alpha=\"0.03\", expect_size=\"49742848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79370240\", alpha=\"0.08\", expect_size=\"31748096\"] \n  1 -> 5 [size =\"31748096\"]\n  1 -> 6 [size =\"31748096\"]\n  2 [size=\"130068480\", alpha=\"0.13\", expect_size=\"52027392\"] \n  2 -> 4 [size =\"52027392\"]\n  3 [size=\"113548800\", alpha=\"0.18\", expect_size=\"45419520\"] \n  3 -> 4 [size =\"45419520\"]\n  3 -> 6 [size =\"45419520\"]\n  4 [size=\"82216960\", alpha=\"0.13\", expect_size=\"32886784\"] \n  4 -> 7 [size =\"32886784\"]\n  5 [size=\"90764800\", alpha=\"0.01\", expect_size=\"36305920\"] \n  5 -> 7 [size =\"36305920\"]\n  5 -> 8 [size =\"36305920\"]\n  6 [size=\"118648320\", alpha=\"0.11\", expect_size=\"47459328\"] \n  6 -> 8 [size =\"47459328\"]\n  7 [size=\"116226560\", alpha=\"0.07\", expect_size=\"46490624\"] \n  7 -> 11 [size =\"46490624\"]\n  8 [size=\"76400640\", alpha=\"0.08\", expect_size=\"30560256\"] \n  8 -> 9 [size =\"30560256\"]\n  8 -> 10 [size =\"30560256\"]\n  8 -> 11 [size =\"30560256\"]\n  9 [size=\"59407360\", alpha=\"0.20\", expect_size=\"23762944\"] \n  9 -> 14 [size =\"23762944\"]\n  10 [size=\"111759360\", alpha=\"0.12\", expect_size=\"44703744\"] \n  10 -> 13 [size =\"44703744\"]\n  11 [size=\"44835840\", alpha=\"0.11\", expect_size=\"17934336\"] \n  11 -> 12 [size =\"17934336\"]\n  11 -> 14 [size =\"17934336\"]\n  12 [size=\"92247040\", alpha=\"0.18\", expect_size=\"36898816\"] \n  12 -> 15 [size =\"36898816\"]\n  13 [size=\"52536320\", alpha=\"0.04\", expect_size=\"21014528\"] \n  14 [size=\"40094720\", alpha=\"0.02\", expect_size=\"16037888\"] \n  15 [size=\"115079680\", alpha=\"0.01\", expect_size=\"46031872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16616960\", alpha=\"0.03\", expect_size=\"6646784\"] \n  1 -> 3 [size =\"6646784\"]\n  1 -> 4 [size =\"6646784\"]\n  2 [size=\"53245440\", alpha=\"0.13\", expect_size=\"21298176\"] \n  3 [size=\"122892800\", alpha=\"0.20\", expect_size=\"49157120\"] \n  4 [size=\"103188480\", alpha=\"0.01\", expect_size=\"41275392\"] \n  4 -> 5 [size =\"41275392\"]\n  4 -> 6 [size =\"41275392\"]\n  5 [size=\"45335040\", alpha=\"0.10\", expect_size=\"18134016\"] \n  5 -> 8 [size =\"18134016\"]\n  6 [size=\"95065600\", alpha=\"0.16\", expect_size=\"38026240\"] \n  6 -> 7 [size =\"38026240\"]\n  7 [size=\"20884480\", alpha=\"0.18\", expect_size=\"8353792\"] \n  7 -> 10 [size =\"8353792\"]\n  7 -> 11 [size =\"8353792\"]\n  8 [size=\"96960000\", alpha=\"0.02\", expect_size=\"38784000\"] \n  8 -> 9 [size =\"38784000\"]\n  9 [size=\"36288000\", alpha=\"0.03\", expect_size=\"14515200\"] \n  9 -> 13 [size =\"14515200\"]\n  10 [size=\"86635520\", alpha=\"0.10\", expect_size=\"34654208\"] \n  10 -> 12 [size =\"34654208\"]\n  10 -> 13 [size =\"34654208\"]\n  11 [size=\"119610880\", alpha=\"0.00\", expect_size=\"47844352\"] \n  12 [size=\"20001280\", alpha=\"0.00\", expect_size=\"8000512\"] \n  12 -> 14 [size =\"8000512\"]\n  12 -> 15 [size =\"8000512\"]\n  13 [size=\"96391680\", alpha=\"0.17\", expect_size=\"38556672\"] \n  14 [size=\"96046080\", alpha=\"0.01\", expect_size=\"38418432\"] \n  15 [size=\"100162560\", alpha=\"0.04\", expect_size=\"40065024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49528832\", alpha=\"0.14\", expect_size=\"24764416\"] \n  1 -> 2 [size =\"24764416\"]\n  2 [size=\"97171456\", alpha=\"0.17\", expect_size=\"48585728\"] \n  2 -> 3 [size =\"48585728\"]\n  3 [size=\"19597312\", alpha=\"0.11\", expect_size=\"9798656\"] \n  3 -> 4 [size =\"9798656\"]\n  4 [size=\"36390912\", alpha=\"0.14\", expect_size=\"18195456\"] \n  4 -> 5 [size =\"18195456\"]\n  5 [size=\"38502400\", alpha=\"0.12\", expect_size=\"19251200\"] \n  5 -> 6 [size =\"19251200\"]\n  6 [size=\"41674752\", alpha=\"0.17\", expect_size=\"20837376\"] \n  6 -> 7 [size =\"20837376\"]\n  7 [size=\"55730176\", alpha=\"0.14\", expect_size=\"27865088\"] \n  7 -> 8 [size =\"27865088\"]\n  8 [size=\"84932608\", alpha=\"0.07\", expect_size=\"42466304\"] \n  8 -> 9 [size =\"42466304\"]\n  9 [size=\"48699392\", alpha=\"0.04\", expect_size=\"24349696\"] \n  9 -> 10 [size =\"24349696\"]\n  10 [size=\"29980672\", alpha=\"0.14\", expect_size=\"14990336\"] \n  10 -> 11 [size =\"14990336\"]\n  11 [size=\"15808512\", alpha=\"0.17\", expect_size=\"7904256\"] \n  11 -> 12 [size =\"7904256\"]\n  12 [size=\"79933440\", alpha=\"0.09\", expect_size=\"39966720\"] \n  12 -> 13 [size =\"39966720\"]\n  13 [size=\"63428608\", alpha=\"0.00\", expect_size=\"31714304\"] \n  13 -> 14 [size =\"31714304\"]\n  14 [size=\"19300352\", alpha=\"0.01\", expect_size=\"9650176\"] \n  14 -> 15 [size =\"9650176\"]\n  15 [size=\"83587072\", alpha=\"0.18\", expect_size=\"41793536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128324267\", alpha=\"0.05\", expect_size=\"38497280\"] \n  1 -> 10 [size =\"38497280\"]\n  1 -> 11 [size =\"38497280\"]\n  2 [size=\"130826240\", alpha=\"0.14\", expect_size=\"39247872\"] \n  2 -> 9 [size =\"39247872\"]\n  2 -> 10 [size =\"39247872\"]\n  2 -> 11 [size =\"39247872\"]\n  3 [size=\"94661973\", alpha=\"0.12\", expect_size=\"28398592\"] \n  3 -> 9 [size =\"28398592\"]\n  3 -> 11 [size =\"28398592\"]\n  4 [size=\"56569173\", alpha=\"0.07\", expect_size=\"16970752\"] \n  4 -> 9 [size =\"16970752\"]\n  5 [size=\"69454507\", alpha=\"0.04\", expect_size=\"20836352\"] \n  5 -> 8 [size =\"20836352\"]\n  6 [size=\"143575040\", alpha=\"0.19\", expect_size=\"43072512\"] \n  6 -> 9 [size =\"43072512\"]\n  6 -> 11 [size =\"43072512\"]\n  7 [size=\"49049600\", alpha=\"0.15\", expect_size=\"14714880\"] \n  7 -> 8 [size =\"14714880\"]\n  7 -> 9 [size =\"14714880\"]\n  8 [size=\"53364053\", alpha=\"0.02\", expect_size=\"16009216\"] \n  8 -> 12 [size =\"16009216\"]\n  8 -> 14 [size =\"16009216\"]\n  9 [size=\"45909333\", alpha=\"0.04\", expect_size=\"13772800\"] \n  9 -> 13 [size =\"13772800\"]\n  9 -> 14 [size =\"13772800\"]\n  10 [size=\"104529920\", alpha=\"0.06\", expect_size=\"31358976\"] \n  10 -> 12 [size =\"31358976\"]\n  11 [size=\"144134827\", alpha=\"0.11\", expect_size=\"43240448\"] \n  11 -> 12 [size =\"43240448\"]\n  11 -> 13 [size =\"43240448\"]\n  11 -> 15 [size =\"43240448\"]\n  12 [size=\"25883307\", alpha=\"0.05\", expect_size=\"7764992\"] \n  13 [size=\"139697493\", alpha=\"0.12\", expect_size=\"41909248\"] \n  14 [size=\"80151893\", alpha=\"0.15\", expect_size=\"24045568\"] \n  15 [size=\"131795627\", alpha=\"0.04\", expect_size=\"39538688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19453440\", alpha=\"0.13\", expect_size=\"7781376\"] \n  1 -> 4 [size =\"7781376\"]\n  2 [size=\"73533440\", alpha=\"0.08\", expect_size=\"29413376\"] \n  2 -> 3 [size =\"29413376\"]\n  2 -> 5 [size =\"29413376\"]\n  3 [size=\"26624000\", alpha=\"0.16\", expect_size=\"10649600\"] \n  4 [size=\"118768640\", alpha=\"0.16\", expect_size=\"47507456\"] \n  4 -> 6 [size =\"47507456\"]\n  4 -> 7 [size =\"47507456\"]\n  5 [size=\"26583040\", alpha=\"0.14\", expect_size=\"10633216\"] \n  6 [size=\"46021120\", alpha=\"0.07\", expect_size=\"18408448\"] \n  6 -> 10 [size =\"18408448\"]\n  7 [size=\"30988800\", alpha=\"0.07\", expect_size=\"12395520\"] \n  7 -> 8 [size =\"12395520\"]\n  7 -> 9 [size =\"12395520\"]\n  8 [size=\"18490880\", alpha=\"0.13\", expect_size=\"7396352\"] \n  8 -> 12 [size =\"7396352\"]\n  9 [size=\"100459520\", alpha=\"0.08\", expect_size=\"40183808\"] \n  9 -> 11 [size =\"40183808\"]\n  9 -> 12 [size =\"40183808\"]\n  10 [size=\"36840960\", alpha=\"0.11\", expect_size=\"14736384\"] \n  11 [size=\"115543040\", alpha=\"0.01\", expect_size=\"46217216\"] \n  12 [size=\"76633600\", alpha=\"0.08\", expect_size=\"30653440\"] \n  12 -> 13 [size =\"30653440\"]\n  12 -> 14 [size =\"30653440\"]\n  12 -> 15 [size =\"30653440\"]\n  13 [size=\"126108160\", alpha=\"0.17\", expect_size=\"50443264\"] \n  14 [size=\"104243200\", alpha=\"0.14\", expect_size=\"41697280\"] \n  15 [size=\"80145920\", alpha=\"0.09\", expect_size=\"32058368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43399168\", alpha=\"0.14\", expect_size=\"21699584\"] \n  1 -> 4 [size =\"21699584\"]\n  1 -> 7 [size =\"21699584\"]\n  1 -> 8 [size =\"21699584\"]\n  2 [size=\"99883008\", alpha=\"0.17\", expect_size=\"49941504\"] \n  2 -> 9 [size =\"49941504\"]\n  2 -> 10 [size =\"49941504\"]\n  3 [size=\"26118144\", alpha=\"0.19\", expect_size=\"13059072\"] \n  3 -> 4 [size =\"13059072\"]\n  3 -> 5 [size =\"13059072\"]\n  3 -> 6 [size =\"13059072\"]\n  3 -> 8 [size =\"13059072\"]\n  3 -> 10 [size =\"13059072\"]\n  3 -> 11 [size =\"13059072\"]\n  4 [size=\"63141888\", alpha=\"0.16\", expect_size=\"31570944\"] \n  4 -> 13 [size =\"31570944\"]\n  4 -> 14 [size =\"31570944\"]\n  4 -> 15 [size =\"31570944\"]\n  5 [size=\"34838528\", alpha=\"0.05\", expect_size=\"17419264\"] \n  5 -> 14 [size =\"17419264\"]\n  5 -> 14 [size =\"17419264\"]\n  5 -> 15 [size =\"17419264\"]\n  6 [size=\"29208576\", alpha=\"0.12\", expect_size=\"14604288\"] \n  6 -> 15 [size =\"14604288\"]\n  7 [size=\"40853504\", alpha=\"0.11\", expect_size=\"20426752\"] \n  7 -> 12 [size =\"20426752\"]\n  7 -> 13 [size =\"20426752\"]\n  7 -> 15 [size =\"20426752\"]\n  8 [size=\"29626368\", alpha=\"0.11\", expect_size=\"14813184\"] \n  8 -> 12 [size =\"14813184\"]\n  8 -> 13 [size =\"14813184\"]\n  9 [size=\"66234368\", alpha=\"0.18\", expect_size=\"33117184\"] \n  9 -> 13 [size =\"33117184\"]\n  10 [size=\"86800384\", alpha=\"0.16\", expect_size=\"43400192\"] \n  10 -> 14 [size =\"43400192\"]\n  11 [size=\"73791488\", alpha=\"0.18\", expect_size=\"36895744\"] \n  12 [size=\"45099008\", alpha=\"0.14\", expect_size=\"22549504\"] \n  13 [size=\"30191616\", alpha=\"0.02\", expect_size=\"15095808\"] \n  14 [size=\"25866240\", alpha=\"0.07\", expect_size=\"12933120\"] \n  15 [size=\"103471104\", alpha=\"0.04\", expect_size=\"51735552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103362560\", alpha=\"0.13\", expect_size=\"51681280\"] \n  1 -> 9 [size =\"51681280\"]\n  2 [size=\"25931776\", alpha=\"0.19\", expect_size=\"12965888\"] \n  2 -> 9 [size =\"12965888\"]\n  2 -> 11 [size =\"12965888\"]\n  3 [size=\"41476096\", alpha=\"0.15\", expect_size=\"20738048\"] \n  3 -> 8 [size =\"20738048\"]\n  3 -> 10 [size =\"20738048\"]\n  3 -> 12 [size =\"20738048\"]\n  4 [size=\"90976256\", alpha=\"0.06\", expect_size=\"45488128\"] \n  4 -> 10 [size =\"45488128\"]\n  5 [size=\"73570304\", alpha=\"0.05\", expect_size=\"36785152\"] \n  5 -> 8 [size =\"36785152\"]\n  5 -> 9 [size =\"36785152\"]\n  5 -> 13 [size =\"36785152\"]\n  6 [size=\"64722944\", alpha=\"0.15\", expect_size=\"32361472\"] \n  7 [size=\"50001920\", alpha=\"0.05\", expect_size=\"25000960\"] \n  7 -> 9 [size =\"25000960\"]\n  7 -> 10 [size =\"25000960\"]\n  7 -> 11 [size =\"25000960\"]\n  8 [size=\"24532992\", alpha=\"0.19\", expect_size=\"12266496\"] \n  9 [size=\"101715968\", alpha=\"0.20\", expect_size=\"50857984\"] \n  9 -> 15 [size =\"50857984\"]\n  10 [size=\"12711936\", alpha=\"0.14\", expect_size=\"6355968\"] \n  11 [size=\"103778304\", alpha=\"0.14\", expect_size=\"51889152\"] \n  12 [size=\"69312512\", alpha=\"0.02\", expect_size=\"34656256\"] \n  12 -> 15 [size =\"34656256\"]\n  13 [size=\"64571392\", alpha=\"0.20\", expect_size=\"32285696\"] \n  13 -> 14 [size =\"32285696\"]\n  14 [size=\"43261952\", alpha=\"0.17\", expect_size=\"21630976\"] \n  15 [size=\"71677952\", alpha=\"0.01\", expect_size=\"35838976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108066133\", alpha=\"0.20\", expect_size=\"32419840\"] \n  1 -> 4 [size =\"32419840\"]\n  1 -> 5 [size =\"32419840\"]\n  2 [size=\"105570987\", alpha=\"0.19\", expect_size=\"31671296\"] \n  2 -> 4 [size =\"31671296\"]\n  2 -> 5 [size =\"31671296\"]\n  3 [size=\"32754347\", alpha=\"0.19\", expect_size=\"9826304\"] \n  3 -> 4 [size =\"9826304\"]\n  3 -> 5 [size =\"9826304\"]\n  3 -> 6 [size =\"9826304\"]\n  4 [size=\"62033920\", alpha=\"0.12\", expect_size=\"18610176\"] \n  4 -> 7 [size =\"18610176\"]\n  4 -> 8 [size =\"18610176\"]\n  5 [size=\"63819093\", alpha=\"0.08\", expect_size=\"19145728\"] \n  5 -> 7 [size =\"19145728\"]\n  5 -> 8 [size =\"19145728\"]\n  5 -> 9 [size =\"19145728\"]\n  6 [size=\"81261227\", alpha=\"0.04\", expect_size=\"24378368\"] \n  6 -> 8 [size =\"24378368\"]\n  6 -> 9 [size =\"24378368\"]\n  7 [size=\"96669013\", alpha=\"0.07\", expect_size=\"29000704\"] \n  7 -> 10 [size =\"29000704\"]\n  7 -> 11 [size =\"29000704\"]\n  8 [size=\"74451627\", alpha=\"0.13\", expect_size=\"22335488\"] \n  8 -> 10 [size =\"22335488\"]\n  8 -> 11 [size =\"22335488\"]\n  8 -> 12 [size =\"22335488\"]\n  9 [size=\"114783573\", alpha=\"0.04\", expect_size=\"34435072\"] \n  9 -> 10 [size =\"34435072\"]\n  9 -> 11 [size =\"34435072\"]\n  9 -> 12 [size =\"34435072\"]\n  10 [size=\"44417707\", alpha=\"0.16\", expect_size=\"13325312\"] \n  10 -> 13 [size =\"13325312\"]\n  10 -> 14 [size =\"13325312\"]\n  11 [size=\"19240960\", alpha=\"0.14\", expect_size=\"5772288\"] \n  11 -> 13 [size =\"5772288\"]\n  11 -> 14 [size =\"5772288\"]\n  11 -> 15 [size =\"5772288\"]\n  12 [size=\"173079893\", alpha=\"0.14\", expect_size=\"51923968\"] \n  12 -> 13 [size =\"51923968\"]\n  12 -> 14 [size =\"51923968\"]\n  13 [size=\"162478080\", alpha=\"0.17\", expect_size=\"48743424\"] \n  14 [size=\"153924267\", alpha=\"0.19\", expect_size=\"46177280\"] \n  15 [size=\"87302827\", alpha=\"0.09\", expect_size=\"26190848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44482560\", alpha=\"0.00\", expect_size=\"17793024\"] \n  1 -> 6 [size =\"17793024\"]\n  2 [size=\"25973760\", alpha=\"0.03\", expect_size=\"10389504\"] \n  2 -> 6 [size =\"10389504\"]\n  2 -> 7 [size =\"10389504\"]\n  2 -> 8 [size =\"10389504\"]\n  2 -> 9 [size =\"10389504\"]\n  3 [size=\"32952320\", alpha=\"0.08\", expect_size=\"13180928\"] \n  4 [size=\"126236160\", alpha=\"0.15\", expect_size=\"50494464\"] \n  4 -> 8 [size =\"50494464\"]\n  4 -> 10 [size =\"50494464\"]\n  5 [size=\"72967680\", alpha=\"0.16\", expect_size=\"29187072\"] \n  5 -> 7 [size =\"29187072\"]\n  5 -> 8 [size =\"29187072\"]\n  5 -> 9 [size =\"29187072\"]\n  6 [size=\"113093120\", alpha=\"0.01\", expect_size=\"45237248\"] \n  6 -> 13 [size =\"45237248\"]\n  6 -> 15 [size =\"45237248\"]\n  7 [size=\"88010240\", alpha=\"0.05\", expect_size=\"35204096\"] \n  7 -> 12 [size =\"35204096\"]\n  7 -> 13 [size =\"35204096\"]\n  8 [size=\"79831040\", alpha=\"0.06\", expect_size=\"31932416\"] \n  9 [size=\"101089280\", alpha=\"0.15\", expect_size=\"40435712\"] \n  9 -> 11 [size =\"40435712\"]\n  9 -> 13 [size =\"40435712\"]\n  9 -> 14 [size =\"40435712\"]\n  10 [size=\"70105600\", alpha=\"0.02\", expect_size=\"28042240\"] \n  10 -> 15 [size =\"28042240\"]\n  11 [size=\"31590400\", alpha=\"0.07\", expect_size=\"12636160\"] \n  12 [size=\"33436160\", alpha=\"0.08\", expect_size=\"13374464\"] \n  13 [size=\"53360640\", alpha=\"0.07\", expect_size=\"21344256\"] \n  14 [size=\"102743040\", alpha=\"0.08\", expect_size=\"41097216\"] \n  15 [size=\"74910720\", alpha=\"0.17\", expect_size=\"29964288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46133760\", alpha=\"0.02\", expect_size=\"18453504\"] \n  1 -> 12 [size =\"18453504\"]\n  2 [size=\"126208000\", alpha=\"0.03\", expect_size=\"50483200\"] \n  2 -> 13 [size =\"50483200\"]\n  2 -> 15 [size =\"50483200\"]\n  3 [size=\"105318400\", alpha=\"0.09\", expect_size=\"42127360\"] \n  3 -> 12 [size =\"42127360\"]\n  3 -> 15 [size =\"42127360\"]\n  4 [size=\"41958400\", alpha=\"0.13\", expect_size=\"16783360\"] \n  5 [size=\"101557760\", alpha=\"0.16\", expect_size=\"40623104\"] \n  5 -> 15 [size =\"40623104\"]\n  6 [size=\"54650880\", alpha=\"0.01\", expect_size=\"21860352\"] \n  6 -> 15 [size =\"21860352\"]\n  7 [size=\"36208640\", alpha=\"0.01\", expect_size=\"14483456\"] \n  7 -> 13 [size =\"14483456\"]\n  8 [size=\"70832640\", alpha=\"0.05\", expect_size=\"28333056\"] \n  8 -> 14 [size =\"28333056\"]\n  9 [size=\"37079040\", alpha=\"0.10\", expect_size=\"14831616\"] \n  9 -> 12 [size =\"14831616\"]\n  10 [size=\"57525760\", alpha=\"0.20\", expect_size=\"23010304\"] \n  10 -> 12 [size =\"23010304\"]\n  10 -> 13 [size =\"23010304\"]\n  10 -> 15 [size =\"23010304\"]\n  11 [size=\"81779200\", alpha=\"0.08\", expect_size=\"32711680\"] \n  12 [size=\"90831360\", alpha=\"0.15\", expect_size=\"36332544\"] \n  13 [size=\"109570560\", alpha=\"0.01\", expect_size=\"43828224\"] \n  14 [size=\"47178240\", alpha=\"0.07\", expect_size=\"18871296\"] \n  15 [size=\"124236800\", alpha=\"0.05\", expect_size=\"49694720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14839808\", alpha=\"0.18\", expect_size=\"7419904\"] \n  1 -> 5 [size =\"7419904\"]\n  1 -> 8 [size =\"7419904\"]\n  2 [size=\"62664704\", alpha=\"0.08\", expect_size=\"31332352\"] \n  2 -> 6 [size =\"31332352\"]\n  2 -> 7 [size =\"31332352\"]\n  2 -> 8 [size =\"31332352\"]\n  3 [size=\"58304512\", alpha=\"0.01\", expect_size=\"29152256\"] \n  3 -> 6 [size =\"29152256\"]\n  3 -> 7 [size =\"29152256\"]\n  3 -> 8 [size =\"29152256\"]\n  4 [size=\"63719424\", alpha=\"0.05\", expect_size=\"31859712\"] \n  4 -> 7 [size =\"31859712\"]\n  5 [size=\"90308608\", alpha=\"0.18\", expect_size=\"45154304\"] \n  5 -> 9 [size =\"45154304\"]\n  5 -> 10 [size =\"45154304\"]\n  5 -> 13 [size =\"45154304\"]\n  5 -> 14 [size =\"45154304\"]\n  6 [size=\"69042176\", alpha=\"0.07\", expect_size=\"34521088\"] \n  6 -> 11 [size =\"34521088\"]\n  6 -> 13 [size =\"34521088\"]\n  6 -> 14 [size =\"34521088\"]\n  6 -> 15 [size =\"34521088\"]\n  7 [size=\"43706368\", alpha=\"0.14\", expect_size=\"21853184\"] \n  7 -> 10 [size =\"21853184\"]\n  7 -> 14 [size =\"21853184\"]\n  8 [size=\"103364608\", alpha=\"0.12\", expect_size=\"51682304\"] \n  8 -> 10 [size =\"51682304\"]\n  8 -> 11 [size =\"51682304\"]\n  8 -> 12 [size =\"51682304\"]\n  8 -> 13 [size =\"51682304\"]\n  8 -> 15 [size =\"51682304\"]\n  9 [size=\"60309504\", alpha=\"0.10\", expect_size=\"30154752\"] \n  10 [size=\"52684800\", alpha=\"0.10\", expect_size=\"26342400\"] \n  11 [size=\"41697280\", alpha=\"0.09\", expect_size=\"20848640\"] \n  12 [size=\"32090112\", alpha=\"0.04\", expect_size=\"16045056\"] \n  13 [size=\"68884480\", alpha=\"0.04\", expect_size=\"34442240\"] \n  14 [size=\"75008000\", alpha=\"0.19\", expect_size=\"37504000\"] \n  15 [size=\"96593920\", alpha=\"0.02\", expect_size=\"48296960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12001280\", alpha=\"0.07\", expect_size=\"6000640\"] \n  1 -> 3 [size =\"6000640\"]\n  2 [size=\"92491776\", alpha=\"0.05\", expect_size=\"46245888\"] \n  2 -> 3 [size =\"46245888\"]\n  3 [size=\"61464576\", alpha=\"0.00\", expect_size=\"30732288\"] \n  3 -> 4 [size =\"30732288\"]\n  3 -> 5 [size =\"30732288\"]\n  4 [size=\"76118016\", alpha=\"0.19\", expect_size=\"38059008\"] \n  4 -> 6 [size =\"38059008\"]\n  4 -> 7 [size =\"38059008\"]\n  5 [size=\"44109824\", alpha=\"0.19\", expect_size=\"22054912\"] \n  5 -> 6 [size =\"22054912\"]\n  5 -> 7 [size =\"22054912\"]\n  6 [size=\"29949952\", alpha=\"0.09\", expect_size=\"14974976\"] \n  6 -> 9 [size =\"14974976\"]\n  7 [size=\"47407104\", alpha=\"0.14\", expect_size=\"23703552\"] \n  7 -> 8 [size =\"23703552\"]\n  7 -> 9 [size =\"23703552\"]\n  8 [size=\"41592832\", alpha=\"0.14\", expect_size=\"20796416\"] \n  8 -> 10 [size =\"20796416\"]\n  9 [size=\"12421120\", alpha=\"0.01\", expect_size=\"6210560\"] \n  10 [size=\"38879232\", alpha=\"0.01\", expect_size=\"19439616\"] \n  10 -> 11 [size =\"19439616\"]\n  11 [size=\"56111104\", alpha=\"0.19\", expect_size=\"28055552\"] \n  11 -> 12 [size =\"28055552\"]\n  11 -> 13 [size =\"28055552\"]\n  12 [size=\"91461632\", alpha=\"0.04\", expect_size=\"45730816\"] \n  12 -> 14 [size =\"45730816\"]\n  13 [size=\"23013376\", alpha=\"0.12\", expect_size=\"11506688\"] \n  14 [size=\"24774656\", alpha=\"0.02\", expect_size=\"12387328\"] \n  14 -> 15 [size =\"12387328\"]\n  15 [size=\"22398976\", alpha=\"0.02\", expect_size=\"11199488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39119360\", alpha=\"0.19\", expect_size=\"15647744\"] \n  1 -> 2 [size =\"15647744\"]\n  1 -> 3 [size =\"15647744\"]\n  2 [size=\"37230080\", alpha=\"0.08\", expect_size=\"14892032\"] \n  2 -> 4 [size =\"14892032\"]\n  3 [size=\"65410560\", alpha=\"0.00\", expect_size=\"26164224\"] \n  4 [size=\"29176320\", alpha=\"0.15\", expect_size=\"11670528\"] \n  4 -> 5 [size =\"11670528\"]\n  5 [size=\"39406080\", alpha=\"0.13\", expect_size=\"15762432\"] \n  5 -> 6 [size =\"15762432\"]\n  5 -> 7 [size =\"15762432\"]\n  6 [size=\"127467520\", alpha=\"0.11\", expect_size=\"50987008\"] \n  7 [size=\"44738560\", alpha=\"0.14\", expect_size=\"17895424\"] \n  7 -> 8 [size =\"17895424\"]\n  8 [size=\"125560320\", alpha=\"0.01\", expect_size=\"50224128\"] \n  8 -> 9 [size =\"50224128\"]\n  8 -> 10 [size =\"50224128\"]\n  9 [size=\"88081920\", alpha=\"0.11\", expect_size=\"35232768\"] \n  9 -> 11 [size =\"35232768\"]\n  10 [size=\"79915520\", alpha=\"0.18\", expect_size=\"31966208\"] \n  10 -> 12 [size =\"31966208\"]\n  11 [size=\"24501760\", alpha=\"0.12\", expect_size=\"9800704\"] \n  11 -> 13 [size =\"9800704\"]\n  12 [size=\"20605440\", alpha=\"0.05\", expect_size=\"8242176\"] \n  13 [size=\"67435520\", alpha=\"0.13\", expect_size=\"26974208\"] \n  13 -> 14 [size =\"26974208\"]\n  14 [size=\"68828160\", alpha=\"0.15\", expect_size=\"27531264\"] \n  14 -> 15 [size =\"27531264\"]\n  15 [size=\"39767040\", alpha=\"0.14\", expect_size=\"15906816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31729664\", alpha=\"0.15\", expect_size=\"15864832\"] \n  2 [size=\"12589056\", alpha=\"0.01\", expect_size=\"6294528\"] \n  2 -> 3 [size =\"6294528\"]\n  3 [size=\"103094272\", alpha=\"0.04\", expect_size=\"51547136\"] \n  3 -> 4 [size =\"51547136\"]\n  3 -> 5 [size =\"51547136\"]\n  3 -> 6 [size =\"51547136\"]\n  4 [size=\"68552704\", alpha=\"0.20\", expect_size=\"34276352\"] \n  4 -> 7 [size =\"34276352\"]\n  4 -> 8 [size =\"34276352\"]\n  4 -> 9 [size =\"34276352\"]\n  4 -> 10 [size =\"34276352\"]\n  5 [size=\"85460992\", alpha=\"0.16\", expect_size=\"42730496\"] \n  5 -> 10 [size =\"42730496\"]\n  6 [size=\"76136448\", alpha=\"0.09\", expect_size=\"38068224\"] \n  6 -> 8 [size =\"38068224\"]\n  6 -> 9 [size =\"38068224\"]\n  7 [size=\"93937664\", alpha=\"0.08\", expect_size=\"46968832\"] \n  7 -> 11 [size =\"46968832\"]\n  7 -> 12 [size =\"46968832\"]\n  8 [size=\"32055296\", alpha=\"0.08\", expect_size=\"16027648\"] \n  8 -> 11 [size =\"16027648\"]\n  9 [size=\"74369024\", alpha=\"0.08\", expect_size=\"37184512\"] \n  9 -> 11 [size =\"37184512\"]\n  9 -> 12 [size =\"37184512\"]\n  9 -> 13 [size =\"37184512\"]\n  10 [size=\"46665728\", alpha=\"0.19\", expect_size=\"23332864\"] \n  10 -> 12 [size =\"23332864\"]\n  11 [size=\"68511744\", alpha=\"0.10\", expect_size=\"34255872\"] \n  11 -> 14 [size =\"34255872\"]\n  12 [size=\"43292672\", alpha=\"0.01\", expect_size=\"21646336\"] \n  13 [size=\"47828992\", alpha=\"0.03\", expect_size=\"23914496\"] \n  13 -> 15 [size =\"23914496\"]\n  14 [size=\"65978368\", alpha=\"0.08\", expect_size=\"32989184\"] \n  15 [size=\"63854592\", alpha=\"0.15\", expect_size=\"31927296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39434240\", alpha=\"0.18\", expect_size=\"19717120\"] \n  1 -> 15 [size =\"19717120\"]\n  2 [size=\"26288128\", alpha=\"0.12\", expect_size=\"13144064\"] \n  2 -> 12 [size =\"13144064\"]\n  2 -> 14 [size =\"13144064\"]\n  2 -> 15 [size =\"13144064\"]\n  3 [size=\"42313728\", alpha=\"0.01\", expect_size=\"21156864\"] \n  3 -> 13 [size =\"21156864\"]\n  3 -> 15 [size =\"21156864\"]\n  4 [size=\"44879872\", alpha=\"0.13\", expect_size=\"22439936\"] \n  4 -> 11 [size =\"22439936\"]\n  4 -> 12 [size =\"22439936\"]\n  4 -> 14 [size =\"22439936\"]\n  4 -> 15 [size =\"22439936\"]\n  5 [size=\"73439232\", alpha=\"0.12\", expect_size=\"36719616\"] \n  5 -> 12 [size =\"36719616\"]\n  6 [size=\"104517632\", alpha=\"0.03\", expect_size=\"52258816\"] \n  6 -> 12 [size =\"52258816\"]\n  6 -> 13 [size =\"52258816\"]\n  6 -> 14 [size =\"52258816\"]\n  7 [size=\"50253824\", alpha=\"0.01\", expect_size=\"25126912\"] \n  7 -> 12 [size =\"25126912\"]\n  7 -> 13 [size =\"25126912\"]\n  8 [size=\"29636608\", alpha=\"0.01\", expect_size=\"14818304\"] \n  8 -> 12 [size =\"14818304\"]\n  9 [size=\"39147520\", alpha=\"0.18\", expect_size=\"19573760\"] \n  9 -> 13 [size =\"19573760\"]\n  9 -> 15 [size =\"19573760\"]\n  10 [size=\"12208128\", alpha=\"0.00\", expect_size=\"6104064\"] \n  10 -> 11 [size =\"6104064\"]\n  10 -> 15 [size =\"6104064\"]\n  11 [size=\"43995136\", alpha=\"0.02\", expect_size=\"21997568\"] \n  12 [size=\"36208640\", alpha=\"0.01\", expect_size=\"18104320\"] \n  13 [size=\"93736960\", alpha=\"0.15\", expect_size=\"46868480\"] \n  14 [size=\"99989504\", alpha=\"0.10\", expect_size=\"49994752\"] \n  15 [size=\"68984832\", alpha=\"0.11\", expect_size=\"34492416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63758336\", alpha=\"0.00\", expect_size=\"31879168\"] \n  1 -> 12 [size =\"31879168\"]\n  1 -> 13 [size =\"31879168\"]\n  1 -> 13 [size =\"31879168\"]\n  1 -> 15 [size =\"31879168\"]\n  2 [size=\"67760128\", alpha=\"0.12\", expect_size=\"33880064\"] \n  3 [size=\"83974144\", alpha=\"0.08\", expect_size=\"41987072\"] \n  3 -> 12 [size =\"41987072\"]\n  4 [size=\"33144832\", alpha=\"0.11\", expect_size=\"16572416\"] \n  4 -> 12 [size =\"16572416\"]\n  5 [size=\"38221824\", alpha=\"0.14\", expect_size=\"19110912\"] \n  5 -> 12 [size =\"19110912\"]\n  5 -> 14 [size =\"19110912\"]\n  6 [size=\"87801856\", alpha=\"0.11\", expect_size=\"43900928\"] \n  6 -> 11 [size =\"43900928\"]\n  6 -> 14 [size =\"43900928\"]\n  6 -> 15 [size =\"43900928\"]\n  7 [size=\"41136128\", alpha=\"0.09\", expect_size=\"20568064\"] \n  7 -> 11 [size =\"20568064\"]\n  7 -> 14 [size =\"20568064\"]\n  7 -> 15 [size =\"20568064\"]\n  8 [size=\"67676160\", alpha=\"0.10\", expect_size=\"33838080\"] \n  8 -> 11 [size =\"33838080\"]\n  8 -> 13 [size =\"33838080\"]\n  8 -> 14 [size =\"33838080\"]\n  9 [size=\"36915200\", alpha=\"0.11\", expect_size=\"18457600\"] \n  9 -> 11 [size =\"18457600\"]\n  9 -> 14 [size =\"18457600\"]\n  9 -> 15 [size =\"18457600\"]\n  10 [size=\"84338688\", alpha=\"0.18\", expect_size=\"42169344\"] \n  10 -> 11 [size =\"42169344\"]\n  10 -> 12 [size =\"42169344\"]\n  10 -> 13 [size =\"42169344\"]\n  10 -> 15 [size =\"42169344\"]\n  11 [size=\"87547904\", alpha=\"0.03\", expect_size=\"43773952\"] \n  12 [size=\"89012224\", alpha=\"0.19\", expect_size=\"44506112\"] \n  13 [size=\"50239488\", alpha=\"0.02\", expect_size=\"25119744\"] \n  14 [size=\"87080960\", alpha=\"0.11\", expect_size=\"43540480\"] \n  15 [size=\"43737088\", alpha=\"0.07\", expect_size=\"21868544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109185707\", alpha=\"0.02\", expect_size=\"32755712\"] \n  1 -> 4 [size =\"32755712\"]\n  2 [size=\"60419413\", alpha=\"0.19\", expect_size=\"18125824\"] \n  2 -> 3 [size =\"18125824\"]\n  3 [size=\"93190827\", alpha=\"0.01\", expect_size=\"27957248\"] \n  3 -> 5 [size =\"27957248\"]\n  4 [size=\"171117227\", alpha=\"0.08\", expect_size=\"51335168\"] \n  5 [size=\"169028267\", alpha=\"0.06\", expect_size=\"50708480\"] \n  5 -> 6 [size =\"50708480\"]\n  5 -> 7 [size =\"50708480\"]\n  6 [size=\"99771733\", alpha=\"0.10\", expect_size=\"29931520\"] \n  7 [size=\"35003733\", alpha=\"0.02\", expect_size=\"10501120\"] \n  7 -> 8 [size =\"10501120\"]\n  8 [size=\"161187840\", alpha=\"0.11\", expect_size=\"48356352\"] \n  8 -> 9 [size =\"48356352\"]\n  9 [size=\"121569280\", alpha=\"0.13\", expect_size=\"36470784\"] \n  9 -> 10 [size =\"36470784\"]\n  10 [size=\"147411627\", alpha=\"0.02\", expect_size=\"44223488\"] \n  10 -> 11 [size =\"44223488\"]\n  10 -> 12 [size =\"44223488\"]\n  11 [size=\"124613973\", alpha=\"0.15\", expect_size=\"37384192\"] \n  11 -> 13 [size =\"37384192\"]\n  12 [size=\"137093120\", alpha=\"0.18\", expect_size=\"41127936\"] \n  13 [size=\"128450560\", alpha=\"0.09\", expect_size=\"38535168\"] \n  13 -> 14 [size =\"38535168\"]\n  13 -> 15 [size =\"38535168\"]\n  14 [size=\"137376427\", alpha=\"0.20\", expect_size=\"41212928\"] \n  15 [size=\"42963627\", alpha=\"0.09\", expect_size=\"12889088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92917760\", alpha=\"0.02\", expect_size=\"46458880\"] \n  1 -> 3 [size =\"46458880\"]\n  2 [size=\"91103232\", alpha=\"0.11\", expect_size=\"45551616\"] \n  2 -> 3 [size =\"45551616\"]\n  3 [size=\"51193856\", alpha=\"0.14\", expect_size=\"25596928\"] \n  3 -> 4 [size =\"25596928\"]\n  4 [size=\"104312832\", alpha=\"0.13\", expect_size=\"52156416\"] \n  4 -> 5 [size =\"52156416\"]\n  4 -> 6 [size =\"52156416\"]\n  5 [size=\"32163840\", alpha=\"0.12\", expect_size=\"16081920\"] \n  5 -> 7 [size =\"16081920\"]\n  6 [size=\"91916288\", alpha=\"0.05\", expect_size=\"45958144\"] \n  6 -> 7 [size =\"45958144\"]\n  7 [size=\"88473600\", alpha=\"0.15\", expect_size=\"44236800\"] \n  7 -> 8 [size =\"44236800\"]\n  8 [size=\"89659392\", alpha=\"0.17\", expect_size=\"44829696\"] \n  8 -> 9 [size =\"44829696\"]\n  9 [size=\"93880320\", alpha=\"0.03\", expect_size=\"46940160\"] \n  9 -> 10 [size =\"46940160\"]\n  10 [size=\"98760704\", alpha=\"0.15\", expect_size=\"49380352\"] \n  10 -> 11 [size =\"49380352\"]\n  11 [size=\"99016704\", alpha=\"0.12\", expect_size=\"49508352\"] \n  11 -> 12 [size =\"49508352\"]\n  12 [size=\"16156672\", alpha=\"0.09\", expect_size=\"8078336\"] \n  12 -> 13 [size =\"8078336\"]\n  12 -> 14 [size =\"8078336\"]\n  13 [size=\"67053568\", alpha=\"0.15\", expect_size=\"33526784\"] \n  13 -> 15 [size =\"33526784\"]\n  14 [size=\"38133760\", alpha=\"0.12\", expect_size=\"19066880\"] \n  14 -> 15 [size =\"19066880\"]\n  15 [size=\"101021696\", alpha=\"0.01\", expect_size=\"50510848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106344960\", alpha=\"0.02\", expect_size=\"42537984\"] \n  1 -> 2 [size =\"42537984\"]\n  2 [size=\"111989760\", alpha=\"0.17\", expect_size=\"44795904\"] \n  2 -> 3 [size =\"44795904\"]\n  3 [size=\"28136960\", alpha=\"0.19\", expect_size=\"11254784\"] \n  3 -> 4 [size =\"11254784\"]\n  4 [size=\"97891840\", alpha=\"0.11\", expect_size=\"39156736\"] \n  4 -> 5 [size =\"39156736\"]\n  5 [size=\"47293440\", alpha=\"0.18\", expect_size=\"18917376\"] \n  5 -> 6 [size =\"18917376\"]\n  6 [size=\"84080640\", alpha=\"0.05\", expect_size=\"33632256\"] \n  6 -> 7 [size =\"33632256\"]\n  7 [size=\"99000320\", alpha=\"0.05\", expect_size=\"39600128\"] \n  7 -> 8 [size =\"39600128\"]\n  8 [size=\"39623680\", alpha=\"0.13\", expect_size=\"15849472\"] \n  8 -> 9 [size =\"15849472\"]\n  9 [size=\"60259840\", alpha=\"0.15\", expect_size=\"24103936\"] \n  9 -> 10 [size =\"24103936\"]\n  10 [size=\"100497920\", alpha=\"0.15\", expect_size=\"40199168\"] \n  10 -> 11 [size =\"40199168\"]\n  11 [size=\"55966720\", alpha=\"0.19\", expect_size=\"22386688\"] \n  11 -> 12 [size =\"22386688\"]\n  12 [size=\"66396160\", alpha=\"0.12\", expect_size=\"26558464\"] \n  12 -> 13 [size =\"26558464\"]\n  13 [size=\"50193920\", alpha=\"0.18\", expect_size=\"20077568\"] \n  13 -> 14 [size =\"20077568\"]\n  14 [size=\"42821120\", alpha=\"0.07\", expect_size=\"17128448\"] \n  14 -> 15 [size =\"17128448\"]\n  15 [size=\"110182400\", alpha=\"0.06\", expect_size=\"44072960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44021760\", alpha=\"0.09\", expect_size=\"13206528\"] \n  1 -> 10 [size =\"13206528\"]\n  1 -> 11 [size =\"13206528\"]\n  2 [size=\"148104533\", alpha=\"0.16\", expect_size=\"44431360\"] \n  2 -> 11 [size =\"44431360\"]\n  3 [size=\"153255253\", alpha=\"0.03\", expect_size=\"45976576\"] \n  3 -> 9 [size =\"45976576\"]\n  4 [size=\"94160213\", alpha=\"0.02\", expect_size=\"28248064\"] \n  4 -> 11 [size =\"28248064\"]\n  5 [size=\"49479680\", alpha=\"0.02\", expect_size=\"14843904\"] \n  5 -> 9 [size =\"14843904\"]\n  5 -> 11 [size =\"14843904\"]\n  6 [size=\"51647147\", alpha=\"0.20\", expect_size=\"15494144\"] \n  6 -> 9 [size =\"15494144\"]\n  7 [size=\"131819520\", alpha=\"0.13\", expect_size=\"39545856\"] \n  7 -> 9 [size =\"39545856\"]\n  8 [size=\"122422613\", alpha=\"0.10\", expect_size=\"36726784\"] \n  8 -> 9 [size =\"36726784\"]\n  8 -> 10 [size =\"36726784\"]\n  9 [size=\"122535253\", alpha=\"0.11\", expect_size=\"36760576\"] \n  10 [size=\"67532800\", alpha=\"0.13\", expect_size=\"20259840\"] \n  10 -> 12 [size =\"20259840\"]\n  10 -> 14 [size =\"20259840\"]\n  10 -> 15 [size =\"20259840\"]\n  11 [size=\"24852480\", alpha=\"0.11\", expect_size=\"7455744\"] \n  11 -> 13 [size =\"7455744\"]\n  11 -> 14 [size =\"7455744\"]\n  11 -> 15 [size =\"7455744\"]\n  12 [size=\"93211307\", alpha=\"0.10\", expect_size=\"27963392\"] \n  13 [size=\"58859520\", alpha=\"0.03\", expect_size=\"17657856\"] \n  14 [size=\"83995307\", alpha=\"0.05\", expect_size=\"25198592\"] \n  15 [size=\"99686400\", alpha=\"0.06\", expect_size=\"29905920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41940992\", alpha=\"0.05\", expect_size=\"20970496\"] \n  1 -> 14 [size =\"20970496\"]\n  1 -> 14 [size =\"20970496\"]\n  2 [size=\"93095936\", alpha=\"0.01\", expect_size=\"46547968\"] \n  3 [size=\"94609408\", alpha=\"0.03\", expect_size=\"47304704\"] \n  4 [size=\"55986176\", alpha=\"0.14\", expect_size=\"27993088\"] \n  4 -> 14 [size =\"27993088\"]\n  5 [size=\"18147328\", alpha=\"0.09\", expect_size=\"9073664\"] \n  5 -> 13 [size =\"9073664\"]\n  5 -> 14 [size =\"9073664\"]\n  6 [size=\"23359488\", alpha=\"0.06\", expect_size=\"11679744\"] \n  6 -> 13 [size =\"11679744\"]\n  7 [size=\"23842816\", alpha=\"0.02\", expect_size=\"11921408\"] \n  7 -> 13 [size =\"11921408\"]\n  7 -> 15 [size =\"11921408\"]\n  8 [size=\"49156096\", alpha=\"0.07\", expect_size=\"24578048\"] \n  8 -> 13 [size =\"24578048\"]\n  8 -> 14 [size =\"24578048\"]\n  9 [size=\"47863808\", alpha=\"0.07\", expect_size=\"23931904\"] \n  9 -> 13 [size =\"23931904\"]\n  9 -> 14 [size =\"23931904\"]\n  10 [size=\"71870464\", alpha=\"0.01\", expect_size=\"35935232\"] \n  10 -> 13 [size =\"35935232\"]\n  11 [size=\"68732928\", alpha=\"0.17\", expect_size=\"34366464\"] \n  12 [size=\"93003776\", alpha=\"0.08\", expect_size=\"46501888\"] \n  12 -> 13 [size =\"46501888\"]\n  12 -> 14 [size =\"46501888\"]\n  13 [size=\"98627584\", alpha=\"0.09\", expect_size=\"49313792\"] \n  14 [size=\"19480576\", alpha=\"0.05\", expect_size=\"9740288\"] \n  15 [size=\"84637696\", alpha=\"0.07\", expect_size=\"42318848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37509120\", alpha=\"0.06\", expect_size=\"15003648\"] \n  1 -> 3 [size =\"15003648\"]\n  2 [size=\"83701760\", alpha=\"0.02\", expect_size=\"33480704\"] \n  2 -> 4 [size =\"33480704\"]\n  3 [size=\"77816320\", alpha=\"0.14\", expect_size=\"31126528\"] \n  4 [size=\"130831360\", alpha=\"0.16\", expect_size=\"52332544\"] \n  4 -> 5 [size =\"52332544\"]\n  5 [size=\"125560320\", alpha=\"0.03\", expect_size=\"50224128\"] \n  5 -> 6 [size =\"50224128\"]\n  5 -> 7 [size =\"50224128\"]\n  6 [size=\"24537600\", alpha=\"0.17\", expect_size=\"9815040\"] \n  7 [size=\"67788800\", alpha=\"0.06\", expect_size=\"27115520\"] \n  7 -> 8 [size =\"27115520\"]\n  8 [size=\"107343360\", alpha=\"0.02\", expect_size=\"42937344\"] \n  8 -> 9 [size =\"42937344\"]\n  8 -> 10 [size =\"42937344\"]\n  9 [size=\"41610240\", alpha=\"0.05\", expect_size=\"16644096\"] \n  9 -> 11 [size =\"16644096\"]\n  9 -> 12 [size =\"16644096\"]\n  10 [size=\"20659200\", alpha=\"0.08\", expect_size=\"8263680\"] \n  11 [size=\"80737280\", alpha=\"0.12\", expect_size=\"32294912\"] \n  12 [size=\"117854720\", alpha=\"0.18\", expect_size=\"47141888\"] \n  12 -> 13 [size =\"47141888\"]\n  13 [size=\"126743040\", alpha=\"0.14\", expect_size=\"50697216\"] \n  13 -> 14 [size =\"50697216\"]\n  13 -> 15 [size =\"50697216\"]\n  14 [size=\"88826880\", alpha=\"0.16\", expect_size=\"35530752\"] \n  15 [size=\"65594880\", alpha=\"0.07\", expect_size=\"26237952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116582400\", alpha=\"0.03\", expect_size=\"46632960\"] \n  1 -> 3 [size =\"46632960\"]\n  2 [size=\"119552000\", alpha=\"0.11\", expect_size=\"47820800\"] \n  2 -> 4 [size =\"47820800\"]\n  3 [size=\"68490240\", alpha=\"0.04\", expect_size=\"27396096\"] \n  3 -> 5 [size =\"27396096\"]\n  4 [size=\"117685760\", alpha=\"0.19\", expect_size=\"47074304\"] \n  5 [size=\"79674880\", alpha=\"0.18\", expect_size=\"31869952\"] \n  5 -> 6 [size =\"31869952\"]\n  6 [size=\"79055360\", alpha=\"0.15\", expect_size=\"31622144\"] \n  6 -> 7 [size =\"31622144\"]\n  6 -> 8 [size =\"31622144\"]\n  7 [size=\"55319040\", alpha=\"0.09\", expect_size=\"22127616\"] \n  8 [size=\"76142080\", alpha=\"0.01\", expect_size=\"30456832\"] \n  8 -> 9 [size =\"30456832\"]\n  8 -> 10 [size =\"30456832\"]\n  9 [size=\"81804800\", alpha=\"0.01\", expect_size=\"32721920\"] \n  9 -> 11 [size =\"32721920\"]\n  10 [size=\"53931520\", alpha=\"0.06\", expect_size=\"21572608\"] \n  10 -> 12 [size =\"21572608\"]\n  11 [size=\"127019520\", alpha=\"0.20\", expect_size=\"50807808\"] \n  12 [size=\"25246720\", alpha=\"0.08\", expect_size=\"10098688\"] \n  12 -> 13 [size =\"10098688\"]\n  13 [size=\"90926080\", alpha=\"0.01\", expect_size=\"36370432\"] \n  13 -> 14 [size =\"36370432\"]\n  13 -> 15 [size =\"36370432\"]\n  14 [size=\"115048960\", alpha=\"0.00\", expect_size=\"46019584\"] \n  15 [size=\"108464640\", alpha=\"0.08\", expect_size=\"43385856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98987520\", alpha=\"0.14\", expect_size=\"39595008\"] \n  1 -> 8 [size =\"39595008\"]\n  1 -> 10 [size =\"39595008\"]\n  2 [size=\"38666240\", alpha=\"0.14\", expect_size=\"15466496\"] \n  2 -> 7 [size =\"15466496\"]\n  3 [size=\"17612800\", alpha=\"0.09\", expect_size=\"7045120\"] \n  3 -> 6 [size =\"7045120\"]\n  3 -> 8 [size =\"7045120\"]\n  3 -> 9 [size =\"7045120\"]\n  3 -> 10 [size =\"7045120\"]\n  4 [size=\"36116480\", alpha=\"0.01\", expect_size=\"14446592\"] \n  4 -> 7 [size =\"14446592\"]\n  4 -> 8 [size =\"14446592\"]\n  4 -> 9 [size =\"14446592\"]\n  4 -> 10 [size =\"14446592\"]\n  5 [size=\"57574400\", alpha=\"0.14\", expect_size=\"23029760\"] \n  5 -> 8 [size =\"23029760\"]\n  5 -> 8 [size =\"23029760\"]\n  5 -> 10 [size =\"23029760\"]\n  5 -> 10 [size =\"23029760\"]\n  6 [size=\"102640640\", alpha=\"0.11\", expect_size=\"41056256\"] \n  6 -> 12 [size =\"41056256\"]\n  6 -> 13 [size =\"41056256\"]\n  6 -> 14 [size =\"41056256\"]\n  7 [size=\"31531520\", alpha=\"0.03\", expect_size=\"12612608\"] \n  7 -> 11 [size =\"12612608\"]\n  7 -> 13 [size =\"12612608\"]\n  8 [size=\"71915520\", alpha=\"0.13\", expect_size=\"28766208\"] \n  8 -> 11 [size =\"28766208\"]\n  8 -> 13 [size =\"28766208\"]\n  8 -> 14 [size =\"28766208\"]\n  8 -> 15 [size =\"28766208\"]\n  9 [size=\"39692800\", alpha=\"0.11\", expect_size=\"15877120\"] \n  9 -> 11 [size =\"15877120\"]\n  9 -> 14 [size =\"15877120\"]\n  9 -> 14 [size =\"15877120\"]\n  10 [size=\"41231360\", alpha=\"0.19\", expect_size=\"16492544\"] \n  10 -> 12 [size =\"16492544\"]\n  10 -> 13 [size =\"16492544\"]\n  10 -> 14 [size =\"16492544\"]\n  11 [size=\"58675200\", alpha=\"0.17\", expect_size=\"23470080\"] \n  12 [size=\"23152640\", alpha=\"0.03\", expect_size=\"9261056\"] \n  13 [size=\"108421120\", alpha=\"0.17\", expect_size=\"43368448\"] \n  14 [size=\"43763200\", alpha=\"0.07\", expect_size=\"17505280\"] \n  15 [size=\"47185920\", alpha=\"0.18\", expect_size=\"18874368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86120448\", alpha=\"0.15\", expect_size=\"43060224\"] \n  1 -> 2 [size =\"43060224\"]\n  2 [size=\"71976960\", alpha=\"0.14\", expect_size=\"35988480\"] \n  2 -> 3 [size =\"35988480\"]\n  3 [size=\"36143104\", alpha=\"0.08\", expect_size=\"18071552\"] \n  3 -> 4 [size =\"18071552\"]\n  4 [size=\"54480896\", alpha=\"0.02\", expect_size=\"27240448\"] \n  4 -> 5 [size =\"27240448\"]\n  5 [size=\"69591040\", alpha=\"0.13\", expect_size=\"34795520\"] \n  5 -> 6 [size =\"34795520\"]\n  6 [size=\"55980032\", alpha=\"0.09\", expect_size=\"27990016\"] \n  6 -> 7 [size =\"27990016\"]\n  7 [size=\"32870400\", alpha=\"0.13\", expect_size=\"16435200\"] \n  7 -> 8 [size =\"16435200\"]\n  8 [size=\"93542400\", alpha=\"0.02\", expect_size=\"46771200\"] \n  8 -> 9 [size =\"46771200\"]\n  9 [size=\"30943232\", alpha=\"0.07\", expect_size=\"15471616\"] \n  9 -> 10 [size =\"15471616\"]\n  10 [size=\"104474624\", alpha=\"0.19\", expect_size=\"52237312\"] \n  10 -> 11 [size =\"52237312\"]\n  11 [size=\"11659264\", alpha=\"0.17\", expect_size=\"5829632\"] \n  11 -> 12 [size =\"5829632\"]\n  12 [size=\"82790400\", alpha=\"0.18\", expect_size=\"41395200\"] \n  12 -> 13 [size =\"41395200\"]\n  13 [size=\"56784896\", alpha=\"0.02\", expect_size=\"28392448\"] \n  13 -> 14 [size =\"28392448\"]\n  14 [size=\"92993536\", alpha=\"0.16\", expect_size=\"46496768\"] \n  14 -> 15 [size =\"46496768\"]\n  15 [size=\"100560896\", alpha=\"0.18\", expect_size=\"50280448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98183680\", alpha=\"0.06\", expect_size=\"39273472\"] \n  1 -> 2 [size =\"39273472\"]\n  2 [size=\"17717760\", alpha=\"0.07\", expect_size=\"7087104\"] \n  2 -> 3 [size =\"7087104\"]\n  3 [size=\"117160960\", alpha=\"0.02\", expect_size=\"46864384\"] \n  3 -> 4 [size =\"46864384\"]\n  4 [size=\"63582720\", alpha=\"0.10\", expect_size=\"25433088\"] \n  4 -> 5 [size =\"25433088\"]\n  5 [size=\"74524160\", alpha=\"0.06\", expect_size=\"29809664\"] \n  5 -> 6 [size =\"29809664\"]\n  6 [size=\"38868480\", alpha=\"0.18\", expect_size=\"15547392\"] \n  6 -> 7 [size =\"15547392\"]\n  7 [size=\"22507520\", alpha=\"0.20\", expect_size=\"9003008\"] \n  7 -> 8 [size =\"9003008\"]\n  8 [size=\"32586240\", alpha=\"0.20\", expect_size=\"13034496\"] \n  8 -> 9 [size =\"13034496\"]\n  9 [size=\"85496320\", alpha=\"0.15\", expect_size=\"34198528\"] \n  9 -> 10 [size =\"34198528\"]\n  10 [size=\"97730560\", alpha=\"0.09\", expect_size=\"39092224\"] \n  10 -> 11 [size =\"39092224\"]\n  11 [size=\"38771200\", alpha=\"0.14\", expect_size=\"15508480\"] \n  11 -> 12 [size =\"15508480\"]\n  12 [size=\"72084480\", alpha=\"0.12\", expect_size=\"28833792\"] \n  12 -> 13 [size =\"28833792\"]\n  13 [size=\"115584000\", alpha=\"0.14\", expect_size=\"46233600\"] \n  13 -> 14 [size =\"46233600\"]\n  14 [size=\"130296320\", alpha=\"0.17\", expect_size=\"52118528\"] \n  14 -> 15 [size =\"52118528\"]\n  15 [size=\"71014400\", alpha=\"0.13\", expect_size=\"28405760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90890240\", alpha=\"0.01\", expect_size=\"45445120\"] \n  1 -> 3 [size =\"45445120\"]\n  2 [size=\"31367168\", alpha=\"0.06\", expect_size=\"15683584\"] \n  2 -> 3 [size =\"15683584\"]\n  3 [size=\"32774144\", alpha=\"0.07\", expect_size=\"16387072\"] \n  3 -> 4 [size =\"16387072\"]\n  3 -> 5 [size =\"16387072\"]\n  4 [size=\"94455808\", alpha=\"0.10\", expect_size=\"47227904\"] \n  4 -> 6 [size =\"47227904\"]\n  4 -> 7 [size =\"47227904\"]\n  5 [size=\"57618432\", alpha=\"0.17\", expect_size=\"28809216\"] \n  5 -> 6 [size =\"28809216\"]\n  5 -> 7 [size =\"28809216\"]\n  6 [size=\"64698368\", alpha=\"0.04\", expect_size=\"32349184\"] \n  6 -> 8 [size =\"32349184\"]\n  6 -> 9 [size =\"32349184\"]\n  7 [size=\"89116672\", alpha=\"0.09\", expect_size=\"44558336\"] \n  7 -> 8 [size =\"44558336\"]\n  8 [size=\"77619200\", alpha=\"0.16\", expect_size=\"38809600\"] \n  8 -> 10 [size =\"38809600\"]\n  9 [size=\"46716928\", alpha=\"0.14\", expect_size=\"23358464\"] \n  9 -> 11 [size =\"23358464\"]\n  10 [size=\"98801664\", alpha=\"0.07\", expect_size=\"49400832\"] \n  10 -> 12 [size =\"49400832\"]\n  11 [size=\"88778752\", alpha=\"0.05\", expect_size=\"44389376\"] \n  12 [size=\"95281152\", alpha=\"0.18\", expect_size=\"47640576\"] \n  12 -> 13 [size =\"47640576\"]\n  12 -> 14 [size =\"47640576\"]\n  13 [size=\"27631616\", alpha=\"0.10\", expect_size=\"13815808\"] \n  13 -> 15 [size =\"13815808\"]\n  14 [size=\"61149184\", alpha=\"0.08\", expect_size=\"30574592\"] \n  14 -> 15 [size =\"30574592\"]\n  15 [size=\"11925504\", alpha=\"0.16\", expect_size=\"5962752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70576128\", alpha=\"0.06\", expect_size=\"35288064\"] \n  1 -> 2 [size =\"35288064\"]\n  2 [size=\"50241536\", alpha=\"0.10\", expect_size=\"25120768\"] \n  2 -> 3 [size =\"25120768\"]\n  3 [size=\"56322048\", alpha=\"0.17\", expect_size=\"28161024\"] \n  3 -> 4 [size =\"28161024\"]\n  4 [size=\"93683712\", alpha=\"0.18\", expect_size=\"46841856\"] \n  4 -> 5 [size =\"46841856\"]\n  5 [size=\"48746496\", alpha=\"0.18\", expect_size=\"24373248\"] \n  5 -> 6 [size =\"24373248\"]\n  6 [size=\"52328448\", alpha=\"0.07\", expect_size=\"26164224\"] \n  6 -> 7 [size =\"26164224\"]\n  7 [size=\"96272384\", alpha=\"0.16\", expect_size=\"48136192\"] \n  7 -> 8 [size =\"48136192\"]\n  8 [size=\"51546112\", alpha=\"0.08\", expect_size=\"25773056\"] \n  8 -> 9 [size =\"25773056\"]\n  9 [size=\"57059328\", alpha=\"0.03\", expect_size=\"28529664\"] \n  9 -> 10 [size =\"28529664\"]\n  10 [size=\"97290240\", alpha=\"0.20\", expect_size=\"48645120\"] \n  10 -> 11 [size =\"48645120\"]\n  11 [size=\"95604736\", alpha=\"0.12\", expect_size=\"47802368\"] \n  11 -> 12 [size =\"47802368\"]\n  12 [size=\"30445568\", alpha=\"0.16\", expect_size=\"15222784\"] \n  12 -> 13 [size =\"15222784\"]\n  13 [size=\"78753792\", alpha=\"0.06\", expect_size=\"39376896\"] \n  13 -> 14 [size =\"39376896\"]\n  14 [size=\"66031616\", alpha=\"0.19\", expect_size=\"33015808\"] \n  14 -> 15 [size =\"33015808\"]\n  15 [size=\"58003456\", alpha=\"0.18\", expect_size=\"29001728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107728213\", alpha=\"0.17\", expect_size=\"32318464\"] \n  1 -> 14 [size =\"32318464\"]\n  2 [size=\"91586560\", alpha=\"0.04\", expect_size=\"27475968\"] \n  2 -> 14 [size =\"27475968\"]\n  3 [size=\"44779520\", alpha=\"0.16\", expect_size=\"13433856\"] \n  4 [size=\"57613653\", alpha=\"0.18\", expect_size=\"17284096\"] \n  4 -> 14 [size =\"17284096\"]\n  5 [size=\"170284373\", alpha=\"0.20\", expect_size=\"51085312\"] \n  5 -> 14 [size =\"51085312\"]\n  6 [size=\"150473387\", alpha=\"0.11\", expect_size=\"45142016\"] \n  7 [size=\"43543893\", alpha=\"0.19\", expect_size=\"13063168\"] \n  8 [size=\"114749440\", alpha=\"0.12\", expect_size=\"34424832\"] \n  8 -> 14 [size =\"34424832\"]\n  8 -> 15 [size =\"34424832\"]\n  9 [size=\"72181760\", alpha=\"0.13\", expect_size=\"21654528\"] \n  10 [size=\"105765547\", alpha=\"0.07\", expect_size=\"31729664\"] \n  11 [size=\"145397760\", alpha=\"0.03\", expect_size=\"43619328\"] \n  12 [size=\"119579307\", alpha=\"0.15\", expect_size=\"35873792\"] \n  13 [size=\"149821440\", alpha=\"0.09\", expect_size=\"44946432\"] \n  13 -> 15 [size =\"44946432\"]\n  14 [size=\"117766827\", alpha=\"0.08\", expect_size=\"35330048\"] \n  15 [size=\"104813227\", alpha=\"0.19\", expect_size=\"31443968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45657600\", alpha=\"0.18\", expect_size=\"18263040\"] \n  2 [size=\"108395520\", alpha=\"0.04\", expect_size=\"43358208\"] \n  2 -> 5 [size =\"43358208\"]\n  3 [size=\"14607360\", alpha=\"0.20\", expect_size=\"5842944\"] \n  4 [size=\"111818240\", alpha=\"0.04\", expect_size=\"44727296\"] \n  5 [size=\"55301120\", alpha=\"0.04\", expect_size=\"22120448\"] \n  5 -> 6 [size =\"22120448\"]\n  5 -> 7 [size =\"22120448\"]\n  6 [size=\"110740480\", alpha=\"0.06\", expect_size=\"44296192\"] \n  7 [size=\"74795520\", alpha=\"0.14\", expect_size=\"29918208\"] \n  7 -> 8 [size =\"29918208\"]\n  7 -> 9 [size =\"29918208\"]\n  8 [size=\"51816960\", alpha=\"0.18\", expect_size=\"20726784\"] \n  9 [size=\"40296960\", alpha=\"0.02\", expect_size=\"16118784\"] \n  9 -> 10 [size =\"16118784\"]\n  9 -> 11 [size =\"16118784\"]\n  9 -> 12 [size =\"16118784\"]\n  10 [size=\"90972160\", alpha=\"0.10\", expect_size=\"36388864\"] \n  11 [size=\"70630400\", alpha=\"0.15\", expect_size=\"28252160\"] \n  11 -> 13 [size =\"28252160\"]\n  12 [size=\"57164800\", alpha=\"0.07\", expect_size=\"22865920\"] \n  12 -> 14 [size =\"22865920\"]\n  13 [size=\"81871360\", alpha=\"0.06\", expect_size=\"32748544\"] \n  13 -> 15 [size =\"32748544\"]\n  14 [size=\"78924800\", alpha=\"0.03\", expect_size=\"31569920\"] \n  15 [size=\"101777920\", alpha=\"0.19\", expect_size=\"40711168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149162667\", alpha=\"0.10\", expect_size=\"44748800\"] \n  1 -> 2 [size =\"44748800\"]\n  2 [size=\"116350293\", alpha=\"0.18\", expect_size=\"34905088\"] \n  2 -> 3 [size =\"34905088\"]\n  2 -> 4 [size =\"34905088\"]\n  3 [size=\"129863680\", alpha=\"0.12\", expect_size=\"38959104\"] \n  3 -> 5 [size =\"38959104\"]\n  3 -> 6 [size =\"38959104\"]\n  4 [size=\"127327573\", alpha=\"0.17\", expect_size=\"38198272\"] \n  4 -> 5 [size =\"38198272\"]\n  4 -> 6 [size =\"38198272\"]\n  5 [size=\"135956480\", alpha=\"0.06\", expect_size=\"40786944\"] \n  5 -> 7 [size =\"40786944\"]\n  5 -> 8 [size =\"40786944\"]\n  6 [size=\"96904533\", alpha=\"0.12\", expect_size=\"29071360\"] \n  6 -> 7 [size =\"29071360\"]\n  7 [size=\"102509227\", alpha=\"0.03\", expect_size=\"30752768\"] \n  7 -> 9 [size =\"30752768\"]\n  8 [size=\"121972053\", alpha=\"0.19\", expect_size=\"36591616\"] \n  8 -> 9 [size =\"36591616\"]\n  9 [size=\"55159467\", alpha=\"0.06\", expect_size=\"16547840\"] \n  9 -> 10 [size =\"16547840\"]\n  10 [size=\"63972693\", alpha=\"0.04\", expect_size=\"19191808\"] \n  10 -> 11 [size =\"19191808\"]\n  10 -> 12 [size =\"19191808\"]\n  11 [size=\"152500907\", alpha=\"0.02\", expect_size=\"45750272\"] \n  11 -> 14 [size =\"45750272\"]\n  12 [size=\"77182293\", alpha=\"0.11\", expect_size=\"23154688\"] \n  12 -> 13 [size =\"23154688\"]\n  12 -> 14 [size =\"23154688\"]\n  13 [size=\"62262613\", alpha=\"0.19\", expect_size=\"18678784\"] \n  14 [size=\"155572907\", alpha=\"0.08\", expect_size=\"46671872\"] \n  14 -> 15 [size =\"46671872\"]\n  15 [size=\"128221867\", alpha=\"0.10\", expect_size=\"38466560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101609472\", alpha=\"0.05\", expect_size=\"50804736\"] \n  1 -> 3 [size =\"50804736\"]\n  1 -> 4 [size =\"50804736\"]\n  1 -> 5 [size =\"50804736\"]\n  2 [size=\"91346944\", alpha=\"0.06\", expect_size=\"45673472\"] \n  2 -> 3 [size =\"45673472\"]\n  2 -> 4 [size =\"45673472\"]\n  3 [size=\"79654912\", alpha=\"0.16\", expect_size=\"39827456\"] \n  3 -> 7 [size =\"39827456\"]\n  3 -> 8 [size =\"39827456\"]\n  4 [size=\"65089536\", alpha=\"0.10\", expect_size=\"32544768\"] \n  4 -> 6 [size =\"32544768\"]\n  5 [size=\"12662784\", alpha=\"0.09\", expect_size=\"6331392\"] \n  5 -> 7 [size =\"6331392\"]\n  5 -> 8 [size =\"6331392\"]\n  6 [size=\"72771584\", alpha=\"0.05\", expect_size=\"36385792\"] \n  6 -> 9 [size =\"36385792\"]\n  7 [size=\"101535744\", alpha=\"0.10\", expect_size=\"50767872\"] \n  7 -> 10 [size =\"50767872\"]\n  8 [size=\"31907840\", alpha=\"0.18\", expect_size=\"15953920\"] \n  8 -> 10 [size =\"15953920\"]\n  9 [size=\"64045056\", alpha=\"0.16\", expect_size=\"32022528\"] \n  9 -> 12 [size =\"32022528\"]\n  10 [size=\"84381696\", alpha=\"0.02\", expect_size=\"42190848\"] \n  10 -> 11 [size =\"42190848\"]\n  10 -> 12 [size =\"42190848\"]\n  11 [size=\"63440896\", alpha=\"0.02\", expect_size=\"31720448\"] \n  11 -> 13 [size =\"31720448\"]\n  11 -> 14 [size =\"31720448\"]\n  12 [size=\"85352448\", alpha=\"0.06\", expect_size=\"42676224\"] \n  12 -> 13 [size =\"42676224\"]\n  12 -> 14 [size =\"42676224\"]\n  13 [size=\"21536768\", alpha=\"0.05\", expect_size=\"10768384\"] \n  14 [size=\"99342336\", alpha=\"0.14\", expect_size=\"49671168\"] \n  14 -> 15 [size =\"49671168\"]\n  15 [size=\"50253824\", alpha=\"0.16\", expect_size=\"25126912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130424320\", alpha=\"0.02\", expect_size=\"52169728\"] \n  1 -> 2 [size =\"52169728\"]\n  1 -> 3 [size =\"52169728\"]\n  1 -> 4 [size =\"52169728\"]\n  2 [size=\"59673600\", alpha=\"0.11\", expect_size=\"23869440\"] \n  2 -> 6 [size =\"23869440\"]\n  2 -> 7 [size =\"23869440\"]\n  2 -> 8 [size =\"23869440\"]\n  3 [size=\"27059200\", alpha=\"0.18\", expect_size=\"10823680\"] \n  3 -> 5 [size =\"10823680\"]\n  3 -> 6 [size =\"10823680\"]\n  3 -> 7 [size =\"10823680\"]\n  4 [size=\"99686400\", alpha=\"0.19\", expect_size=\"39874560\"] \n  4 -> 5 [size =\"39874560\"]\n  4 -> 6 [size =\"39874560\"]\n  4 -> 7 [size =\"39874560\"]\n  4 -> 8 [size =\"39874560\"]\n  5 [size=\"113925120\", alpha=\"0.15\", expect_size=\"45570048\"] \n  5 -> 9 [size =\"45570048\"]\n  5 -> 11 [size =\"45570048\"]\n  6 [size=\"75563520\", alpha=\"0.12\", expect_size=\"30225408\"] \n  6 -> 9 [size =\"30225408\"]\n  6 -> 10 [size =\"30225408\"]\n  6 -> 12 [size =\"30225408\"]\n  7 [size=\"34242560\", alpha=\"0.10\", expect_size=\"13697024\"] \n  7 -> 12 [size =\"13697024\"]\n  8 [size=\"114805760\", alpha=\"0.11\", expect_size=\"45922304\"] \n  8 -> 9 [size =\"45922304\"]\n  9 [size=\"25523200\", alpha=\"0.02\", expect_size=\"10209280\"] \n  9 -> 13 [size =\"10209280\"]\n  10 [size=\"24555520\", alpha=\"0.08\", expect_size=\"9822208\"] \n  10 -> 13 [size =\"9822208\"]\n  11 [size=\"52160000\", alpha=\"0.09\", expect_size=\"20864000\"] \n  11 -> 13 [size =\"20864000\"]\n  11 -> 14 [size =\"20864000\"]\n  12 [size=\"65505280\", alpha=\"0.17\", expect_size=\"26202112\"] \n  12 -> 14 [size =\"26202112\"]\n  13 [size=\"129830400\", alpha=\"0.03\", expect_size=\"51932160\"] \n  14 [size=\"117854720\", alpha=\"0.02\", expect_size=\"47141888\"] \n  14 -> 15 [size =\"47141888\"]\n  15 [size=\"112302080\", alpha=\"0.19\", expect_size=\"44920832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121528320\", alpha=\"0.20\", expect_size=\"36458496\"] \n  1 -> 2 [size =\"36458496\"]\n  2 [size=\"56937813\", alpha=\"0.08\", expect_size=\"17081344\"] \n  2 -> 3 [size =\"17081344\"]\n  3 [size=\"40977067\", alpha=\"0.07\", expect_size=\"12293120\"] \n  3 -> 4 [size =\"12293120\"]\n  4 [size=\"41352533\", alpha=\"0.09\", expect_size=\"12405760\"] \n  4 -> 5 [size =\"12405760\"]\n  5 [size=\"138393600\", alpha=\"0.14\", expect_size=\"41518080\"] \n  5 -> 6 [size =\"41518080\"]\n  6 [size=\"73390080\", alpha=\"0.12\", expect_size=\"22017024\"] \n  6 -> 7 [size =\"22017024\"]\n  7 [size=\"167758507\", alpha=\"0.15\", expect_size=\"50327552\"] \n  7 -> 8 [size =\"50327552\"]\n  8 [size=\"117268480\", alpha=\"0.08\", expect_size=\"35180544\"] \n  8 -> 9 [size =\"35180544\"]\n  9 [size=\"74492587\", alpha=\"0.16\", expect_size=\"22347776\"] \n  9 -> 10 [size =\"22347776\"]\n  10 [size=\"133270187\", alpha=\"0.05\", expect_size=\"39981056\"] \n  10 -> 11 [size =\"39981056\"]\n  11 [size=\"36881067\", alpha=\"0.11\", expect_size=\"11064320\"] \n  11 -> 12 [size =\"11064320\"]\n  12 [size=\"34983253\", alpha=\"0.14\", expect_size=\"10494976\"] \n  12 -> 13 [size =\"10494976\"]\n  13 [size=\"96208213\", alpha=\"0.04\", expect_size=\"28862464\"] \n  13 -> 14 [size =\"28862464\"]\n  14 [size=\"148097707\", alpha=\"0.01\", expect_size=\"44429312\"] \n  14 -> 15 [size =\"44429312\"]\n  15 [size=\"60999680\", alpha=\"0.03\", expect_size=\"18299904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76978176\", alpha=\"0.01\", expect_size=\"38489088\"] \n  2 [size=\"21803008\", alpha=\"0.05\", expect_size=\"10901504\"] \n  2 -> 11 [size =\"10901504\"]\n  2 -> 12 [size =\"10901504\"]\n  2 -> 14 [size =\"10901504\"]\n  3 [size=\"42407936\", alpha=\"0.18\", expect_size=\"21203968\"] \n  3 -> 13 [size =\"21203968\"]\n  3 -> 15 [size =\"21203968\"]\n  4 [size=\"29048832\", alpha=\"0.01\", expect_size=\"14524416\"] \n  4 -> 13 [size =\"14524416\"]\n  5 [size=\"92545024\", alpha=\"0.13\", expect_size=\"46272512\"] \n  5 -> 11 [size =\"46272512\"]\n  5 -> 12 [size =\"46272512\"]\n  6 [size=\"59140096\", alpha=\"0.10\", expect_size=\"29570048\"] \n  6 -> 11 [size =\"29570048\"]\n  7 [size=\"13592576\", alpha=\"0.07\", expect_size=\"6796288\"] \n  7 -> 14 [size =\"6796288\"]\n  8 [size=\"17178624\", alpha=\"0.07\", expect_size=\"8589312\"] \n  8 -> 11 [size =\"8589312\"]\n  8 -> 12 [size =\"8589312\"]\n  8 -> 13 [size =\"8589312\"]\n  8 -> 15 [size =\"8589312\"]\n  9 [size=\"92051456\", alpha=\"0.06\", expect_size=\"46025728\"] \n  10 [size=\"88537088\", alpha=\"0.15\", expect_size=\"44268544\"] \n  10 -> 11 [size =\"44268544\"]\n  10 -> 12 [size =\"44268544\"]\n  10 -> 14 [size =\"44268544\"]\n  11 [size=\"13922304\", alpha=\"0.18\", expect_size=\"6961152\"] \n  12 [size=\"18155520\", alpha=\"0.17\", expect_size=\"9077760\"] \n  13 [size=\"40185856\", alpha=\"0.02\", expect_size=\"20092928\"] \n  14 [size=\"31782912\", alpha=\"0.16\", expect_size=\"15891456\"] \n  15 [size=\"35600384\", alpha=\"0.08\", expect_size=\"17800192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173998080\", alpha=\"0.01\", expect_size=\"52199424\"] \n  1 -> 2 [size =\"52199424\"]\n  2 [size=\"98959360\", alpha=\"0.13\", expect_size=\"29687808\"] \n  2 -> 3 [size =\"29687808\"]\n  3 [size=\"152685227\", alpha=\"0.16\", expect_size=\"45805568\"] \n  3 -> 4 [size =\"45805568\"]\n  4 [size=\"27262293\", alpha=\"0.05\", expect_size=\"8178688\"] \n  4 -> 5 [size =\"8178688\"]\n  5 [size=\"23951360\", alpha=\"0.09\", expect_size=\"7185408\"] \n  5 -> 6 [size =\"7185408\"]\n  6 [size=\"65908053\", alpha=\"0.09\", expect_size=\"19772416\"] \n  6 -> 7 [size =\"19772416\"]\n  7 [size=\"114333013\", alpha=\"0.08\", expect_size=\"34299904\"] \n  7 -> 8 [size =\"34299904\"]\n  8 [size=\"123613867\", alpha=\"0.14\", expect_size=\"37084160\"] \n  8 -> 9 [size =\"37084160\"]\n  9 [size=\"36478293\", alpha=\"0.03\", expect_size=\"10943488\"] \n  9 -> 10 [size =\"10943488\"]\n  10 [size=\"39055360\", alpha=\"0.15\", expect_size=\"11716608\"] \n  10 -> 11 [size =\"11716608\"]\n  11 [size=\"93733547\", alpha=\"0.06\", expect_size=\"28120064\"] \n  11 -> 12 [size =\"28120064\"]\n  12 [size=\"99676160\", alpha=\"0.12\", expect_size=\"29902848\"] \n  12 -> 13 [size =\"29902848\"]\n  13 [size=\"47755947\", alpha=\"0.17\", expect_size=\"14326784\"] \n  13 -> 14 [size =\"14326784\"]\n  14 [size=\"174165333\", alpha=\"0.13\", expect_size=\"52249600\"] \n  14 -> 15 [size =\"52249600\"]\n  15 [size=\"59716267\", alpha=\"0.12\", expect_size=\"17914880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61898240\", alpha=\"0.12\", expect_size=\"24759296\"] \n  2 [size=\"125066240\", alpha=\"0.17\", expect_size=\"50026496\"] \n  2 -> 4 [size =\"50026496\"]\n  2 -> 5 [size =\"50026496\"]\n  3 [size=\"101355520\", alpha=\"0.18\", expect_size=\"40542208\"] \n  3 -> 5 [size =\"40542208\"]\n  4 [size=\"59343360\", alpha=\"0.08\", expect_size=\"23737344\"] \n  4 -> 7 [size =\"23737344\"]\n  5 [size=\"29465600\", alpha=\"0.19\", expect_size=\"11786240\"] \n  5 -> 6 [size =\"11786240\"]\n  6 [size=\"93946880\", alpha=\"0.01\", expect_size=\"37578752\"] \n  6 -> 9 [size =\"37578752\"]\n  7 [size=\"102159360\", alpha=\"0.09\", expect_size=\"40863744\"] \n  7 -> 8 [size =\"40863744\"]\n  8 [size=\"89679360\", alpha=\"0.11\", expect_size=\"35871744\"] \n  9 [size=\"80686080\", alpha=\"0.19\", expect_size=\"32274432\"] \n  9 -> 10 [size =\"32274432\"]\n  9 -> 11 [size =\"32274432\"]\n  10 [size=\"129738240\", alpha=\"0.19\", expect_size=\"51895296\"] \n  10 -> 12 [size =\"51895296\"]\n  10 -> 13 [size =\"51895296\"]\n  11 [size=\"116449280\", alpha=\"0.01\", expect_size=\"46579712\"] \n  12 [size=\"66629120\", alpha=\"0.07\", expect_size=\"26651648\"] \n  12 -> 14 [size =\"26651648\"]\n  13 [size=\"47196160\", alpha=\"0.14\", expect_size=\"18878464\"] \n  13 -> 15 [size =\"18878464\"]\n  14 [size=\"37608960\", alpha=\"0.16\", expect_size=\"15043584\"] \n  15 [size=\"85941760\", alpha=\"0.12\", expect_size=\"34376704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98024960\", alpha=\"0.10\", expect_size=\"39209984\"] \n  1 -> 5 [size =\"39209984\"]\n  2 [size=\"15493120\", alpha=\"0.08\", expect_size=\"6197248\"] \n  2 -> 4 [size =\"6197248\"]\n  2 -> 5 [size =\"6197248\"]\n  3 [size=\"74736640\", alpha=\"0.05\", expect_size=\"29894656\"] \n  4 [size=\"31221760\", alpha=\"0.18\", expect_size=\"12488704\"] \n  5 [size=\"45414400\", alpha=\"0.12\", expect_size=\"18165760\"] \n  5 -> 6 [size =\"18165760\"]\n  5 -> 7 [size =\"18165760\"]\n  5 -> 8 [size =\"18165760\"]\n  6 [size=\"84472320\", alpha=\"0.02\", expect_size=\"33788928\"] \n  7 [size=\"75624960\", alpha=\"0.13\", expect_size=\"30249984\"] \n  7 -> 9 [size =\"30249984\"]\n  8 [size=\"97994240\", alpha=\"0.11\", expect_size=\"39197696\"] \n  8 -> 10 [size =\"39197696\"]\n  8 -> 11 [size =\"39197696\"]\n  9 [size=\"123717120\", alpha=\"0.15\", expect_size=\"49486848\"] \n  9 -> 13 [size =\"49486848\"]\n  10 [size=\"97346560\", alpha=\"0.10\", expect_size=\"38938624\"] \n  10 -> 13 [size =\"38938624\"]\n  10 -> 14 [size =\"38938624\"]\n  11 [size=\"96391680\", alpha=\"0.15\", expect_size=\"38556672\"] \n  11 -> 12 [size =\"38556672\"]\n  12 [size=\"37744640\", alpha=\"0.04\", expect_size=\"15097856\"] \n  12 -> 15 [size =\"15097856\"]\n  13 [size=\"83809280\", alpha=\"0.19\", expect_size=\"33523712\"] \n  14 [size=\"114936320\", alpha=\"0.08\", expect_size=\"45974528\"] \n  15 [size=\"100881920\", alpha=\"0.12\", expect_size=\"40352768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68764160\", alpha=\"0.03\", expect_size=\"27505664\"] \n  1 -> 3 [size =\"27505664\"]\n  2 [size=\"114088960\", alpha=\"0.17\", expect_size=\"45635584\"] \n  3 [size=\"102799360\", alpha=\"0.16\", expect_size=\"41119744\"] \n  3 -> 4 [size =\"41119744\"]\n  3 -> 5 [size =\"41119744\"]\n  4 [size=\"127342080\", alpha=\"0.12\", expect_size=\"50936832\"] \n  4 -> 6 [size =\"50936832\"]\n  5 [size=\"83645440\", alpha=\"0.10\", expect_size=\"33458176\"] \n  6 [size=\"39262720\", alpha=\"0.07\", expect_size=\"15705088\"] \n  6 -> 7 [size =\"15705088\"]\n  7 [size=\"53655040\", alpha=\"0.06\", expect_size=\"21462016\"] \n  7 -> 8 [size =\"21462016\"]\n  8 [size=\"129390080\", alpha=\"0.16\", expect_size=\"51756032\"] \n  8 -> 9 [size =\"51756032\"]\n  8 -> 10 [size =\"51756032\"]\n  9 [size=\"18245120\", alpha=\"0.05\", expect_size=\"7298048\"] \n  9 -> 11 [size =\"7298048\"]\n  9 -> 12 [size =\"7298048\"]\n  10 [size=\"90375680\", alpha=\"0.19\", expect_size=\"36150272\"] \n  11 [size=\"119805440\", alpha=\"0.12\", expect_size=\"47922176\"] \n  12 [size=\"18457600\", alpha=\"0.19\", expect_size=\"7383040\"] \n  12 -> 13 [size =\"7383040\"]\n  12 -> 14 [size =\"7383040\"]\n  13 [size=\"117729280\", alpha=\"0.11\", expect_size=\"47091712\"] \n  13 -> 15 [size =\"47091712\"]\n  14 [size=\"94200320\", alpha=\"0.00\", expect_size=\"37680128\"] \n  15 [size=\"45626880\", alpha=\"0.06\", expect_size=\"18250752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96903168\", alpha=\"0.20\", expect_size=\"48451584\"] \n  1 -> 3 [size =\"48451584\"]\n  1 -> 4 [size =\"48451584\"]\n  2 [size=\"99166208\", alpha=\"0.06\", expect_size=\"49583104\"] \n  2 -> 3 [size =\"49583104\"]\n  2 -> 4 [size =\"49583104\"]\n  3 [size=\"81850368\", alpha=\"0.03\", expect_size=\"40925184\"] \n  3 -> 5 [size =\"40925184\"]\n  3 -> 6 [size =\"40925184\"]\n  4 [size=\"27609088\", alpha=\"0.12\", expect_size=\"13804544\"] \n  5 [size=\"75601920\", alpha=\"0.11\", expect_size=\"37800960\"] \n  5 -> 7 [size =\"37800960\"]\n  6 [size=\"52559872\", alpha=\"0.11\", expect_size=\"26279936\"] \n  6 -> 7 [size =\"26279936\"]\n  7 [size=\"31381504\", alpha=\"0.17\", expect_size=\"15690752\"] \n  7 -> 8 [size =\"15690752\"]\n  8 [size=\"58875904\", alpha=\"0.07\", expect_size=\"29437952\"] \n  8 -> 9 [size =\"29437952\"]\n  8 -> 10 [size =\"29437952\"]\n  9 [size=\"23519232\", alpha=\"0.07\", expect_size=\"11759616\"] \n  9 -> 11 [size =\"11759616\"]\n  10 [size=\"12759040\", alpha=\"0.19\", expect_size=\"6379520\"] \n  10 -> 11 [size =\"6379520\"]\n  11 [size=\"86511616\", alpha=\"0.19\", expect_size=\"43255808\"] \n  11 -> 12 [size =\"43255808\"]\n  11 -> 13 [size =\"43255808\"]\n  12 [size=\"85669888\", alpha=\"0.18\", expect_size=\"42834944\"] \n  12 -> 14 [size =\"42834944\"]\n  12 -> 15 [size =\"42834944\"]\n  13 [size=\"19742720\", alpha=\"0.00\", expect_size=\"9871360\"] \n  13 -> 15 [size =\"9871360\"]\n  14 [size=\"31879168\", alpha=\"0.16\", expect_size=\"15939584\"] \n  15 [size=\"89503744\", alpha=\"0.16\", expect_size=\"44751872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53142187\", alpha=\"0.18\", expect_size=\"15942656\"] \n  1 -> 8 [size =\"15942656\"]\n  1 -> 9 [size =\"15942656\"]\n  1 -> 10 [size =\"15942656\"]\n  1 -> 12 [size =\"15942656\"]\n  1 -> 13 [size =\"15942656\"]\n  1 -> 14 [size =\"15942656\"]\n  2 [size=\"68290560\", alpha=\"0.04\", expect_size=\"20487168\"] \n  2 -> 8 [size =\"20487168\"]\n  2 -> 10 [size =\"20487168\"]\n  2 -> 11 [size =\"20487168\"]\n  2 -> 12 [size =\"20487168\"]\n  2 -> 14 [size =\"20487168\"]\n  3 [size=\"78370133\", alpha=\"0.20\", expect_size=\"23511040\"] \n  3 -> 7 [size =\"23511040\"]\n  3 -> 9 [size =\"23511040\"]\n  3 -> 10 [size =\"23511040\"]\n  3 -> 11 [size =\"23511040\"]\n  3 -> 12 [size =\"23511040\"]\n  3 -> 14 [size =\"23511040\"]\n  4 [size=\"144650240\", alpha=\"0.11\", expect_size=\"43395072\"] \n  4 -> 7 [size =\"43395072\"]\n  4 -> 9 [size =\"43395072\"]\n  4 -> 10 [size =\"43395072\"]\n  4 -> 11 [size =\"43395072\"]\n  4 -> 13 [size =\"43395072\"]\n  4 -> 15 [size =\"43395072\"]\n  5 [size=\"61064533\", alpha=\"0.19\", expect_size=\"18319360\"] \n  5 -> 9 [size =\"18319360\"]\n  5 -> 10 [size =\"18319360\"]\n  5 -> 10 [size =\"18319360\"]\n  5 -> 11 [size =\"18319360\"]\n  5 -> 12 [size =\"18319360\"]\n  5 -> 13 [size =\"18319360\"]\n  5 -> 14 [size =\"18319360\"]\n  6 [size=\"119425707\", alpha=\"0.12\", expect_size=\"35827712\"] \n  6 -> 7 [size =\"35827712\"]\n  6 -> 8 [size =\"35827712\"]\n  6 -> 11 [size =\"35827712\"]\n  6 -> 12 [size =\"35827712\"]\n  6 -> 14 [size =\"35827712\"]\n  7 [size=\"134580907\", alpha=\"0.08\", expect_size=\"40374272\"] \n  8 [size=\"59583147\", alpha=\"0.12\", expect_size=\"17874944\"] \n  9 [size=\"166051840\", alpha=\"0.04\", expect_size=\"49815552\"] \n  10 [size=\"166038187\", alpha=\"0.05\", expect_size=\"49811456\"] \n  11 [size=\"61559467\", alpha=\"0.12\", expect_size=\"18467840\"] \n  12 [size=\"42663253\", alpha=\"0.12\", expect_size=\"12798976\"] \n  13 [size=\"70546773\", alpha=\"0.14\", expect_size=\"21164032\"] \n  14 [size=\"70222507\", alpha=\"0.09\", expect_size=\"21066752\"] \n  15 [size=\"156562773\", alpha=\"0.02\", expect_size=\"46968832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73955840\", alpha=\"0.11\", expect_size=\"29582336\"] \n  1 -> 2 [size =\"29582336\"]\n  2 [size=\"30981120\", alpha=\"0.02\", expect_size=\"12392448\"] \n  2 -> 3 [size =\"12392448\"]\n  2 -> 4 [size =\"12392448\"]\n  3 [size=\"111257600\", alpha=\"0.09\", expect_size=\"44503040\"] \n  3 -> 5 [size =\"44503040\"]\n  4 [size=\"62448640\", alpha=\"0.18\", expect_size=\"24979456\"] \n  4 -> 6 [size =\"24979456\"]\n  5 [size=\"47303680\", alpha=\"0.17\", expect_size=\"18921472\"] \n  6 [size=\"21150720\", alpha=\"0.10\", expect_size=\"8460288\"] \n  6 -> 7 [size =\"8460288\"]\n  6 -> 8 [size =\"8460288\"]\n  7 [size=\"115059200\", alpha=\"0.09\", expect_size=\"46023680\"] \n  7 -> 9 [size =\"46023680\"]\n  8 [size=\"30830080\", alpha=\"0.06\", expect_size=\"12332032\"] \n  9 [size=\"27412480\", alpha=\"0.11\", expect_size=\"10964992\"] \n  9 -> 10 [size =\"10964992\"]\n  9 -> 11 [size =\"10964992\"]\n  10 [size=\"118115840\", alpha=\"0.01\", expect_size=\"47246336\"] \n  10 -> 12 [size =\"47246336\"]\n  10 -> 13 [size =\"47246336\"]\n  11 [size=\"88307200\", alpha=\"0.04\", expect_size=\"35322880\"] \n  12 [size=\"33656320\", alpha=\"0.19\", expect_size=\"13462528\"] \n  12 -> 14 [size =\"13462528\"]\n  13 [size=\"43717120\", alpha=\"0.02\", expect_size=\"17486848\"] \n  14 [size=\"96040960\", alpha=\"0.00\", expect_size=\"38416384\"] \n  14 -> 15 [size =\"38416384\"]\n  15 [size=\"83599360\", alpha=\"0.10\", expect_size=\"33439744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164980053\", alpha=\"0.02\", expect_size=\"49494016\"] \n  1 -> 12 [size =\"49494016\"]\n  1 -> 15 [size =\"49494016\"]\n  2 [size=\"50015573\", alpha=\"0.17\", expect_size=\"15004672\"] \n  2 -> 10 [size =\"15004672\"]\n  2 -> 14 [size =\"15004672\"]\n  2 -> 15 [size =\"15004672\"]\n  3 [size=\"34730667\", alpha=\"0.01\", expect_size=\"10419200\"] \n  3 -> 9 [size =\"10419200\"]\n  3 -> 13 [size =\"10419200\"]\n  4 [size=\"89316693\", alpha=\"0.15\", expect_size=\"26795008\"] \n  4 -> 11 [size =\"26795008\"]\n  4 -> 12 [size =\"26795008\"]\n  5 [size=\"55879680\", alpha=\"0.04\", expect_size=\"16763904\"] \n  5 -> 8 [size =\"16763904\"]\n  5 -> 11 [size =\"16763904\"]\n  5 -> 12 [size =\"16763904\"]\n  6 [size=\"49844907\", alpha=\"0.15\", expect_size=\"14953472\"] \n  6 -> 8 [size =\"14953472\"]\n  6 -> 13 [size =\"14953472\"]\n  6 -> 14 [size =\"14953472\"]\n  7 [size=\"101529600\", alpha=\"0.04\", expect_size=\"30458880\"] \n  7 -> 8 [size =\"30458880\"]\n  7 -> 11 [size =\"30458880\"]\n  7 -> 12 [size =\"30458880\"]\n  7 -> 13 [size =\"30458880\"]\n  7 -> 14 [size =\"30458880\"]\n  8 [size=\"57173333\", alpha=\"0.00\", expect_size=\"17152000\"] \n  9 [size=\"62068053\", alpha=\"0.11\", expect_size=\"18620416\"] \n  10 [size=\"48807253\", alpha=\"0.11\", expect_size=\"14642176\"] \n  11 [size=\"46807040\", alpha=\"0.13\", expect_size=\"14042112\"] \n  12 [size=\"64887467\", alpha=\"0.03\", expect_size=\"19466240\"] \n  13 [size=\"42250240\", alpha=\"0.11\", expect_size=\"12675072\"] \n  14 [size=\"47622827\", alpha=\"0.08\", expect_size=\"14286848\"] \n  15 [size=\"166215680\", alpha=\"0.08\", expect_size=\"49864704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125760000\", alpha=\"0.12\", expect_size=\"50304000\"] \n  1 -> 3 [size =\"50304000\"]\n  1 -> 4 [size =\"50304000\"]\n  2 [size=\"79646720\", alpha=\"0.13\", expect_size=\"31858688\"] \n  2 -> 3 [size =\"31858688\"]\n  2 -> 4 [size =\"31858688\"]\n  2 -> 5 [size =\"31858688\"]\n  3 [size=\"115870720\", alpha=\"0.19\", expect_size=\"46348288\"] \n  3 -> 7 [size =\"46348288\"]\n  3 -> 8 [size =\"46348288\"]\n  4 [size=\"21790720\", alpha=\"0.05\", expect_size=\"8716288\"] \n  4 -> 6 [size =\"8716288\"]\n  4 -> 7 [size =\"8716288\"]\n  4 -> 8 [size =\"8716288\"]\n  5 [size=\"23014400\", alpha=\"0.13\", expect_size=\"9205760\"] \n  5 -> 7 [size =\"9205760\"]\n  5 -> 8 [size =\"9205760\"]\n  6 [size=\"86635520\", alpha=\"0.06\", expect_size=\"34654208\"] \n  7 [size=\"73518080\", alpha=\"0.06\", expect_size=\"29407232\"] \n  8 [size=\"103526400\", alpha=\"0.09\", expect_size=\"41410560\"] \n  8 -> 9 [size =\"41410560\"]\n  8 -> 10 [size =\"41410560\"]\n  9 [size=\"130163200\", alpha=\"0.00\", expect_size=\"52065280\"] \n  9 -> 11 [size =\"52065280\"]\n  9 -> 12 [size =\"52065280\"]\n  10 [size=\"42749440\", alpha=\"0.03\", expect_size=\"17099776\"] \n  10 -> 11 [size =\"17099776\"]\n  10 -> 12 [size =\"17099776\"]\n  11 [size=\"127910400\", alpha=\"0.08\", expect_size=\"51164160\"] \n  11 -> 13 [size =\"51164160\"]\n  11 -> 14 [size =\"51164160\"]\n  12 [size=\"80322560\", alpha=\"0.14\", expect_size=\"32129024\"] \n  12 -> 14 [size =\"32129024\"]\n  13 [size=\"39569920\", alpha=\"0.18\", expect_size=\"15827968\"] \n  13 -> 15 [size =\"15827968\"]\n  14 [size=\"32343040\", alpha=\"0.13\", expect_size=\"12937216\"] \n  14 -> 15 [size =\"12937216\"]\n  15 [size=\"59970560\", alpha=\"0.17\", expect_size=\"23988224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58040320\", alpha=\"0.02\", expect_size=\"17412096\"] \n  2 [size=\"166488747\", alpha=\"0.14\", expect_size=\"49946624\"] \n  2 -> 3 [size =\"49946624\"]\n  2 -> 4 [size =\"49946624\"]\n  3 [size=\"71922347\", alpha=\"0.15\", expect_size=\"21576704\"] \n  4 [size=\"34211840\", alpha=\"0.16\", expect_size=\"10263552\"] \n  4 -> 5 [size =\"10263552\"]\n  5 [size=\"131338240\", alpha=\"0.05\", expect_size=\"39401472\"] \n  5 -> 6 [size =\"39401472\"]\n  5 -> 7 [size =\"39401472\"]\n  6 [size=\"53951147\", alpha=\"0.02\", expect_size=\"16185344\"] \n  6 -> 8 [size =\"16185344\"]\n  7 [size=\"122006187\", alpha=\"0.19\", expect_size=\"36601856\"] \n  8 [size=\"42420907\", alpha=\"0.12\", expect_size=\"12726272\"] \n  8 -> 9 [size =\"12726272\"]\n  8 -> 10 [size =\"12726272\"]\n  9 [size=\"65768107\", alpha=\"0.19\", expect_size=\"19730432\"] \n  9 -> 12 [size =\"19730432\"]\n  10 [size=\"158586880\", alpha=\"0.10\", expect_size=\"47576064\"] \n  10 -> 11 [size =\"47576064\"]\n  11 [size=\"53452800\", alpha=\"0.11\", expect_size=\"16035840\"] \n  12 [size=\"69850453\", alpha=\"0.11\", expect_size=\"20955136\"] \n  12 -> 13 [size =\"20955136\"]\n  12 -> 14 [size =\"20955136\"]\n  13 [size=\"24330240\", alpha=\"0.09\", expect_size=\"7299072\"] \n  14 [size=\"144349867\", alpha=\"0.07\", expect_size=\"43304960\"] \n  14 -> 15 [size =\"43304960\"]\n  15 [size=\"116739413\", alpha=\"0.18\", expect_size=\"35021824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36579328\", alpha=\"0.06\", expect_size=\"18289664\"] \n  1 -> 2 [size =\"18289664\"]\n  2 [size=\"11106304\", alpha=\"0.10\", expect_size=\"5553152\"] \n  2 -> 3 [size =\"5553152\"]\n  3 [size=\"43452416\", alpha=\"0.20\", expect_size=\"21726208\"] \n  3 -> 4 [size =\"21726208\"]\n  4 [size=\"77664256\", alpha=\"0.01\", expect_size=\"38832128\"] \n  4 -> 5 [size =\"38832128\"]\n  5 [size=\"65300480\", alpha=\"0.02\", expect_size=\"32650240\"] \n  5 -> 6 [size =\"32650240\"]\n  6 [size=\"97425408\", alpha=\"0.12\", expect_size=\"48712704\"] \n  6 -> 7 [size =\"48712704\"]\n  7 [size=\"74770432\", alpha=\"0.16\", expect_size=\"37385216\"] \n  7 -> 8 [size =\"37385216\"]\n  8 [size=\"78458880\", alpha=\"0.19\", expect_size=\"39229440\"] \n  8 -> 9 [size =\"39229440\"]\n  9 [size=\"73844736\", alpha=\"0.11\", expect_size=\"36922368\"] \n  9 -> 10 [size =\"36922368\"]\n  10 [size=\"67997696\", alpha=\"0.02\", expect_size=\"33998848\"] \n  10 -> 11 [size =\"33998848\"]\n  11 [size=\"40194048\", alpha=\"0.18\", expect_size=\"20097024\"] \n  11 -> 12 [size =\"20097024\"]\n  12 [size=\"68978688\", alpha=\"0.03\", expect_size=\"34489344\"] \n  12 -> 13 [size =\"34489344\"]\n  13 [size=\"20342784\", alpha=\"0.02\", expect_size=\"10171392\"] \n  13 -> 14 [size =\"10171392\"]\n  14 [size=\"20166656\", alpha=\"0.00\", expect_size=\"10083328\"] \n  14 -> 15 [size =\"10083328\"]\n  15 [size=\"26271744\", alpha=\"0.03\", expect_size=\"13135872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95808000\", alpha=\"0.17\", expect_size=\"38323200\"] \n  1 -> 2 [size =\"38323200\"]\n  2 [size=\"119224320\", alpha=\"0.13\", expect_size=\"47689728\"] \n  2 -> 3 [size =\"47689728\"]\n  3 [size=\"68067840\", alpha=\"0.05\", expect_size=\"27227136\"] \n  3 -> 4 [size =\"27227136\"]\n  4 [size=\"93455360\", alpha=\"0.00\", expect_size=\"37382144\"] \n  4 -> 5 [size =\"37382144\"]\n  5 [size=\"129228800\", alpha=\"0.05\", expect_size=\"51691520\"] \n  5 -> 6 [size =\"51691520\"]\n  6 [size=\"92006400\", alpha=\"0.11\", expect_size=\"36802560\"] \n  6 -> 7 [size =\"36802560\"]\n  7 [size=\"76551680\", alpha=\"0.13\", expect_size=\"30620672\"] \n  7 -> 8 [size =\"30620672\"]\n  8 [size=\"15846400\", alpha=\"0.08\", expect_size=\"6338560\"] \n  8 -> 9 [size =\"6338560\"]\n  9 [size=\"23854080\", alpha=\"0.00\", expect_size=\"9541632\"] \n  9 -> 10 [size =\"9541632\"]\n  10 [size=\"114567680\", alpha=\"0.14\", expect_size=\"45827072\"] \n  10 -> 11 [size =\"45827072\"]\n  11 [size=\"19888640\", alpha=\"0.08\", expect_size=\"7955456\"] \n  11 -> 12 [size =\"7955456\"]\n  12 [size=\"119495680\", alpha=\"0.19\", expect_size=\"47798272\"] \n  12 -> 13 [size =\"47798272\"]\n  13 [size=\"77327360\", alpha=\"0.06\", expect_size=\"30930944\"] \n  13 -> 14 [size =\"30930944\"]\n  14 [size=\"107566080\", alpha=\"0.04\", expect_size=\"43026432\"] \n  14 -> 15 [size =\"43026432\"]\n  15 [size=\"107975680\", alpha=\"0.10\", expect_size=\"43190272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21803008\", alpha=\"0.17\", expect_size=\"10901504\"] \n  1 -> 2 [size =\"10901504\"]\n  2 [size=\"37419008\", alpha=\"0.06\", expect_size=\"18709504\"] \n  2 -> 3 [size =\"18709504\"]\n  3 [size=\"64600064\", alpha=\"0.20\", expect_size=\"32300032\"] \n  3 -> 4 [size =\"32300032\"]\n  4 [size=\"70774784\", alpha=\"0.08\", expect_size=\"35387392\"] \n  4 -> 5 [size =\"35387392\"]\n  5 [size=\"45699072\", alpha=\"0.18\", expect_size=\"22849536\"] \n  5 -> 6 [size =\"22849536\"]\n  6 [size=\"48007168\", alpha=\"0.00\", expect_size=\"24003584\"] \n  6 -> 7 [size =\"24003584\"]\n  7 [size=\"45438976\", alpha=\"0.09\", expect_size=\"22719488\"] \n  7 -> 8 [size =\"22719488\"]\n  8 [size=\"38375424\", alpha=\"0.06\", expect_size=\"19187712\"] \n  8 -> 9 [size =\"19187712\"]\n  9 [size=\"55025664\", alpha=\"0.09\", expect_size=\"27512832\"] \n  9 -> 10 [size =\"27512832\"]\n  10 [size=\"63496192\", alpha=\"0.04\", expect_size=\"31748096\"] \n  10 -> 11 [size =\"31748096\"]\n  11 [size=\"80189440\", alpha=\"0.15\", expect_size=\"40094720\"] \n  11 -> 12 [size =\"40094720\"]\n  12 [size=\"67760128\", alpha=\"0.13\", expect_size=\"33880064\"] \n  12 -> 13 [size =\"33880064\"]\n  13 [size=\"94341120\", alpha=\"0.08\", expect_size=\"47170560\"] \n  13 -> 14 [size =\"47170560\"]\n  14 [size=\"93571072\", alpha=\"0.15\", expect_size=\"46785536\"] \n  14 -> 15 [size =\"46785536\"]\n  15 [size=\"38361088\", alpha=\"0.05\", expect_size=\"19180544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129583787\", alpha=\"0.07\", expect_size=\"38875136\"] \n  1 -> 3 [size =\"38875136\"]\n  2 [size=\"134686720\", alpha=\"0.16\", expect_size=\"40406016\"] \n  3 [size=\"160150187\", alpha=\"0.11\", expect_size=\"48045056\"] \n  3 -> 4 [size =\"48045056\"]\n  3 -> 5 [size =\"48045056\"]\n  4 [size=\"137314987\", alpha=\"0.14\", expect_size=\"41194496\"] \n  4 -> 6 [size =\"41194496\"]\n  5 [size=\"149073920\", alpha=\"0.08\", expect_size=\"44722176\"] \n  5 -> 6 [size =\"44722176\"]\n  6 [size=\"24374613\", alpha=\"0.12\", expect_size=\"7312384\"] \n  6 -> 7 [size =\"7312384\"]\n  7 [size=\"44605440\", alpha=\"0.12\", expect_size=\"13381632\"] \n  7 -> 8 [size =\"13381632\"]\n  8 [size=\"46892373\", alpha=\"0.16\", expect_size=\"14067712\"] \n  8 -> 9 [size =\"14067712\"]\n  8 -> 10 [size =\"14067712\"]\n  9 [size=\"66140160\", alpha=\"0.15\", expect_size=\"19842048\"] \n  9 -> 11 [size =\"19842048\"]\n  10 [size=\"123187200\", alpha=\"0.19\", expect_size=\"36956160\"] \n  11 [size=\"115554987\", alpha=\"0.05\", expect_size=\"34666496\"] \n  11 -> 12 [size =\"34666496\"]\n  11 -> 13 [size =\"34666496\"]\n  12 [size=\"171656533\", alpha=\"0.07\", expect_size=\"51496960\"] \n  13 [size=\"138792960\", alpha=\"0.10\", expect_size=\"41637888\"] \n  13 -> 14 [size =\"41637888\"]\n  14 [size=\"68468053\", alpha=\"0.04\", expect_size=\"20540416\"] \n  14 -> 15 [size =\"20540416\"]\n  15 [size=\"21050027\", alpha=\"0.14\", expect_size=\"6315008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16035840\", alpha=\"0.08\", expect_size=\"6414336\"] \n  1 -> 2 [size =\"6414336\"]\n  2 [size=\"90337280\", alpha=\"0.18\", expect_size=\"36134912\"] \n  2 -> 3 [size =\"36134912\"]\n  3 [size=\"32151040\", alpha=\"0.14\", expect_size=\"12860416\"] \n  3 -> 4 [size =\"12860416\"]\n  4 [size=\"80778240\", alpha=\"0.06\", expect_size=\"32311296\"] \n  4 -> 5 [size =\"32311296\"]\n  5 [size=\"40834560\", alpha=\"0.20\", expect_size=\"16333824\"] \n  5 -> 6 [size =\"16333824\"]\n  6 [size=\"83294720\", alpha=\"0.18\", expect_size=\"33317888\"] \n  6 -> 7 [size =\"33317888\"]\n  7 [size=\"32739840\", alpha=\"0.15\", expect_size=\"13095936\"] \n  7 -> 8 [size =\"13095936\"]\n  8 [size=\"75082240\", alpha=\"0.13\", expect_size=\"30032896\"] \n  8 -> 9 [size =\"30032896\"]\n  9 [size=\"107898880\", alpha=\"0.06\", expect_size=\"43159552\"] \n  9 -> 10 [size =\"43159552\"]\n  10 [size=\"96419840\", alpha=\"0.14\", expect_size=\"38567936\"] \n  10 -> 11 [size =\"38567936\"]\n  11 [size=\"113792000\", alpha=\"0.01\", expect_size=\"45516800\"] \n  11 -> 12 [size =\"45516800\"]\n  12 [size=\"40862720\", alpha=\"0.15\", expect_size=\"16345088\"] \n  12 -> 13 [size =\"16345088\"]\n  13 [size=\"30085120\", alpha=\"0.08\", expect_size=\"12034048\"] \n  13 -> 14 [size =\"12034048\"]\n  14 [size=\"114214400\", alpha=\"0.14\", expect_size=\"45685760\"] \n  14 -> 15 [size =\"45685760\"]\n  15 [size=\"32796160\", alpha=\"0.07\", expect_size=\"13118464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45404160\", alpha=\"0.14\", expect_size=\"13621248\"] \n  1 -> 13 [size =\"13621248\"]\n  2 [size=\"143551147\", alpha=\"0.20\", expect_size=\"43065344\"] \n  3 [size=\"157515093\", alpha=\"0.13\", expect_size=\"47254528\"] \n  4 [size=\"53319680\", alpha=\"0.10\", expect_size=\"15995904\"] \n  4 -> 13 [size =\"15995904\"]\n  5 [size=\"116913493\", alpha=\"0.15\", expect_size=\"35074048\"] \n  5 -> 13 [size =\"35074048\"]\n  5 -> 15 [size =\"35074048\"]\n  6 [size=\"160976213\", alpha=\"0.10\", expect_size=\"48292864\"] \n  6 -> 12 [size =\"48292864\"]\n  6 -> 13 [size =\"48292864\"]\n  6 -> 15 [size =\"48292864\"]\n  7 [size=\"26255360\", alpha=\"0.11\", expect_size=\"7876608\"] \n  8 [size=\"168212480\", alpha=\"0.05\", expect_size=\"50463744\"] \n  9 [size=\"54108160\", alpha=\"0.17\", expect_size=\"16232448\"] \n  9 -> 13 [size =\"16232448\"]\n  9 -> 15 [size =\"16232448\"]\n  10 [size=\"113196373\", alpha=\"0.08\", expect_size=\"33958912\"] \n  10 -> 12 [size =\"33958912\"]\n  10 -> 14 [size =\"33958912\"]\n  10 -> 15 [size =\"33958912\"]\n  11 [size=\"156293120\", alpha=\"0.20\", expect_size=\"46887936\"] \n  11 -> 12 [size =\"46887936\"]\n  12 [size=\"108465493\", alpha=\"0.01\", expect_size=\"32539648\"] \n  13 [size=\"107226453\", alpha=\"0.03\", expect_size=\"32167936\"] \n  14 [size=\"55920640\", alpha=\"0.12\", expect_size=\"16776192\"] \n  15 [size=\"132625067\", alpha=\"0.01\", expect_size=\"39787520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46760960\", alpha=\"0.11\", expect_size=\"18704384\"] \n  2 [size=\"101122560\", alpha=\"0.12\", expect_size=\"40449024\"] \n  3 [size=\"13675520\", alpha=\"0.14\", expect_size=\"5470208\"] \n  4 [size=\"78681600\", alpha=\"0.02\", expect_size=\"31472640\"] \n  4 -> 14 [size =\"31472640\"]\n  5 [size=\"86300160\", alpha=\"0.12\", expect_size=\"34520064\"] \n  6 [size=\"65832960\", alpha=\"0.07\", expect_size=\"26333184\"] \n  7 [size=\"96611840\", alpha=\"0.19\", expect_size=\"38644736\"] \n  8 [size=\"37813760\", alpha=\"0.14\", expect_size=\"15125504\"] \n  8 -> 14 [size =\"15125504\"]\n  8 -> 15 [size =\"15125504\"]\n  9 [size=\"32343040\", alpha=\"0.11\", expect_size=\"12937216\"] \n  10 [size=\"101470720\", alpha=\"0.06\", expect_size=\"40588288\"] \n  11 [size=\"54609920\", alpha=\"0.01\", expect_size=\"21843968\"] \n  12 [size=\"121507840\", alpha=\"0.06\", expect_size=\"48603136\"] \n  13 [size=\"72660480\", alpha=\"0.02\", expect_size=\"29064192\"] \n  13 -> 15 [size =\"29064192\"]\n  14 [size=\"36945920\", alpha=\"0.07\", expect_size=\"14778368\"] \n  15 [size=\"48343040\", alpha=\"0.15\", expect_size=\"19337216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76687360\", alpha=\"0.14\", expect_size=\"23006208\"] \n  1 -> 2 [size =\"23006208\"]\n  1 -> 3 [size =\"23006208\"]\n  2 [size=\"111827627\", alpha=\"0.09\", expect_size=\"33548288\"] \n  3 [size=\"170199040\", alpha=\"0.03\", expect_size=\"51059712\"] \n  3 -> 4 [size =\"51059712\"]\n  4 [size=\"72082773\", alpha=\"0.07\", expect_size=\"21624832\"] \n  4 -> 5 [size =\"21624832\"]\n  4 -> 6 [size =\"21624832\"]\n  5 [size=\"166140587\", alpha=\"0.03\", expect_size=\"49842176\"] \n  5 -> 7 [size =\"49842176\"]\n  6 [size=\"107878400\", alpha=\"0.05\", expect_size=\"32363520\"] \n  7 [size=\"75236693\", alpha=\"0.14\", expect_size=\"22571008\"] \n  7 -> 8 [size =\"22571008\"]\n  8 [size=\"63730347\", alpha=\"0.11\", expect_size=\"19119104\"] \n  8 -> 9 [size =\"19119104\"]\n  8 -> 10 [size =\"19119104\"]\n  9 [size=\"131778560\", alpha=\"0.11\", expect_size=\"39533568\"] \n  9 -> 11 [size =\"39533568\"]\n  10 [size=\"158965760\", alpha=\"0.00\", expect_size=\"47689728\"] \n  11 [size=\"113725440\", alpha=\"0.12\", expect_size=\"34117632\"] \n  11 -> 12 [size =\"34117632\"]\n  12 [size=\"65832960\", alpha=\"0.17\", expect_size=\"19749888\"] \n  12 -> 13 [size =\"19749888\"]\n  13 [size=\"140445013\", alpha=\"0.14\", expect_size=\"42133504\"] \n  13 -> 14 [size =\"42133504\"]\n  13 -> 15 [size =\"42133504\"]\n  14 [size=\"166761813\", alpha=\"0.03\", expect_size=\"50028544\"] \n  15 [size=\"66228907\", alpha=\"0.02\", expect_size=\"19868672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74196480\", alpha=\"0.03\", expect_size=\"29678592\"] \n  1 -> 7 [size =\"29678592\"]\n  1 -> 8 [size =\"29678592\"]\n  1 -> 10 [size =\"29678592\"]\n  2 [size=\"38676480\", alpha=\"0.15\", expect_size=\"15470592\"] \n  2 -> 7 [size =\"15470592\"]\n  2 -> 8 [size =\"15470592\"]\n  2 -> 9 [size =\"15470592\"]\n  3 [size=\"26877440\", alpha=\"0.04\", expect_size=\"10750976\"] \n  3 -> 10 [size =\"10750976\"]\n  3 -> 11 [size =\"10750976\"]\n  3 -> 12 [size =\"10750976\"]\n  4 [size=\"57190400\", alpha=\"0.02\", expect_size=\"22876160\"] \n  4 -> 8 [size =\"22876160\"]\n  4 -> 10 [size =\"22876160\"]\n  4 -> 11 [size =\"22876160\"]\n  4 -> 12 [size =\"22876160\"]\n  5 [size=\"96542720\", alpha=\"0.10\", expect_size=\"38617088\"] \n  5 -> 7 [size =\"38617088\"]\n  5 -> 8 [size =\"38617088\"]\n  5 -> 9 [size =\"38617088\"]\n  5 -> 10 [size =\"38617088\"]\n  5 -> 11 [size =\"38617088\"]\n  5 -> 12 [size =\"38617088\"]\n  6 [size=\"96563200\", alpha=\"0.20\", expect_size=\"38625280\"] \n  6 -> 7 [size =\"38625280\"]\n  6 -> 8 [size =\"38625280\"]\n  6 -> 12 [size =\"38625280\"]\n  7 [size=\"25390080\", alpha=\"0.14\", expect_size=\"10156032\"] \n  7 -> 14 [size =\"10156032\"]\n  8 [size=\"62804480\", alpha=\"0.10\", expect_size=\"25121792\"] \n  8 -> 13 [size =\"25121792\"]\n  8 -> 15 [size =\"25121792\"]\n  9 [size=\"108917760\", alpha=\"0.20\", expect_size=\"43567104\"] \n  9 -> 14 [size =\"43567104\"]\n  9 -> 15 [size =\"43567104\"]\n  10 [size=\"76666880\", alpha=\"0.15\", expect_size=\"30666752\"] \n  11 [size=\"17118720\", alpha=\"0.01\", expect_size=\"6847488\"] \n  11 -> 15 [size =\"6847488\"]\n  12 [size=\"32268800\", alpha=\"0.06\", expect_size=\"12907520\"] \n  13 [size=\"117844480\", alpha=\"0.01\", expect_size=\"47137792\"] \n  14 [size=\"23656960\", alpha=\"0.07\", expect_size=\"9462784\"] \n  15 [size=\"33600000\", alpha=\"0.03\", expect_size=\"13440000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57490773\", alpha=\"0.14\", expect_size=\"17247232\"] \n  1 -> 2 [size =\"17247232\"]\n  2 [size=\"81640107\", alpha=\"0.13\", expect_size=\"24492032\"] \n  2 -> 3 [size =\"24492032\"]\n  2 -> 4 [size =\"24492032\"]\n  3 [size=\"128774827\", alpha=\"0.02\", expect_size=\"38632448\"] \n  4 [size=\"68328107\", alpha=\"0.14\", expect_size=\"20498432\"] \n  4 -> 5 [size =\"20498432\"]\n  5 [size=\"46240427\", alpha=\"0.18\", expect_size=\"13872128\"] \n  5 -> 6 [size =\"13872128\"]\n  5 -> 7 [size =\"13872128\"]\n  6 [size=\"33563307\", alpha=\"0.14\", expect_size=\"10068992\"] \n  6 -> 8 [size =\"10068992\"]\n  6 -> 9 [size =\"10068992\"]\n  7 [size=\"36618240\", alpha=\"0.05\", expect_size=\"10985472\"] \n  7 -> 9 [size =\"10985472\"]\n  8 [size=\"98501973\", alpha=\"0.18\", expect_size=\"29550592\"] \n  8 -> 10 [size =\"29550592\"]\n  9 [size=\"123828907\", alpha=\"0.09\", expect_size=\"37148672\"] \n  9 -> 10 [size =\"37148672\"]\n  9 -> 11 [size =\"37148672\"]\n  10 [size=\"114701653\", alpha=\"0.16\", expect_size=\"34410496\"] \n  10 -> 12 [size =\"34410496\"]\n  11 [size=\"81585493\", alpha=\"0.16\", expect_size=\"24475648\"] \n  11 -> 12 [size =\"24475648\"]\n  12 [size=\"31232000\", alpha=\"0.08\", expect_size=\"9369600\"] \n  12 -> 13 [size =\"9369600\"]\n  13 [size=\"130362027\", alpha=\"0.08\", expect_size=\"39108608\"] \n  13 -> 14 [size =\"39108608\"]\n  13 -> 15 [size =\"39108608\"]\n  14 [size=\"145742507\", alpha=\"0.11\", expect_size=\"43722752\"] \n  15 [size=\"101164373\", alpha=\"0.10\", expect_size=\"30349312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18260480\", alpha=\"0.11\", expect_size=\"7304192\"] \n  1 -> 2 [size =\"7304192\"]\n  2 [size=\"128463360\", alpha=\"0.06\", expect_size=\"51385344\"] \n  2 -> 3 [size =\"51385344\"]\n  3 [size=\"109629440\", alpha=\"0.04\", expect_size=\"43851776\"] \n  3 -> 4 [size =\"43851776\"]\n  4 [size=\"111784960\", alpha=\"0.07\", expect_size=\"44713984\"] \n  4 -> 5 [size =\"44713984\"]\n  5 [size=\"82780160\", alpha=\"0.15\", expect_size=\"33112064\"] \n  5 -> 6 [size =\"33112064\"]\n  6 [size=\"130949120\", alpha=\"0.03\", expect_size=\"52379648\"] \n  6 -> 7 [size =\"52379648\"]\n  7 [size=\"96202240\", alpha=\"0.14\", expect_size=\"38480896\"] \n  7 -> 8 [size =\"38480896\"]\n  8 [size=\"97566720\", alpha=\"0.13\", expect_size=\"39026688\"] \n  8 -> 9 [size =\"39026688\"]\n  9 [size=\"91376640\", alpha=\"0.18\", expect_size=\"36550656\"] \n  9 -> 10 [size =\"36550656\"]\n  10 [size=\"14661120\", alpha=\"0.18\", expect_size=\"5864448\"] \n  10 -> 11 [size =\"5864448\"]\n  11 [size=\"79749120\", alpha=\"0.20\", expect_size=\"31899648\"] \n  11 -> 12 [size =\"31899648\"]\n  12 [size=\"27768320\", alpha=\"0.13\", expect_size=\"11107328\"] \n  12 -> 13 [size =\"11107328\"]\n  13 [size=\"61347840\", alpha=\"0.04\", expect_size=\"24539136\"] \n  13 -> 14 [size =\"24539136\"]\n  14 [size=\"82091520\", alpha=\"0.05\", expect_size=\"32836608\"] \n  14 -> 15 [size =\"32836608\"]\n  15 [size=\"121963520\", alpha=\"0.11\", expect_size=\"48785408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54466560\", alpha=\"0.02\", expect_size=\"27233280\"] \n  1 -> 2 [size =\"27233280\"]\n  2 [size=\"45215744\", alpha=\"0.09\", expect_size=\"22607872\"] \n  2 -> 3 [size =\"22607872\"]\n  3 [size=\"98353152\", alpha=\"0.08\", expect_size=\"49176576\"] \n  3 -> 4 [size =\"49176576\"]\n  4 [size=\"86059008\", alpha=\"0.05\", expect_size=\"43029504\"] \n  4 -> 5 [size =\"43029504\"]\n  5 [size=\"103680000\", alpha=\"0.08\", expect_size=\"51840000\"] \n  5 -> 6 [size =\"51840000\"]\n  6 [size=\"32919552\", alpha=\"0.12\", expect_size=\"16459776\"] \n  6 -> 7 [size =\"16459776\"]\n  7 [size=\"62322688\", alpha=\"0.10\", expect_size=\"31161344\"] \n  7 -> 8 [size =\"31161344\"]\n  8 [size=\"57989120\", alpha=\"0.11\", expect_size=\"28994560\"] \n  8 -> 9 [size =\"28994560\"]\n  9 [size=\"16408576\", alpha=\"0.07\", expect_size=\"8204288\"] \n  9 -> 10 [size =\"8204288\"]\n  10 [size=\"80056320\", alpha=\"0.09\", expect_size=\"40028160\"] \n  10 -> 11 [size =\"40028160\"]\n  11 [size=\"36263936\", alpha=\"0.18\", expect_size=\"18131968\"] \n  11 -> 12 [size =\"18131968\"]\n  12 [size=\"44654592\", alpha=\"0.17\", expect_size=\"22327296\"] \n  12 -> 13 [size =\"22327296\"]\n  13 [size=\"85278720\", alpha=\"0.17\", expect_size=\"42639360\"] \n  13 -> 14 [size =\"42639360\"]\n  14 [size=\"30466048\", alpha=\"0.07\", expect_size=\"15233024\"] \n  14 -> 15 [size =\"15233024\"]\n  15 [size=\"54882304\", alpha=\"0.07\", expect_size=\"27441152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24975360\", alpha=\"0.03\", expect_size=\"9990144\"] \n  1 -> 4 [size =\"9990144\"]\n  1 -> 5 [size =\"9990144\"]\n  2 [size=\"106135040\", alpha=\"0.20\", expect_size=\"42454016\"] \n  2 -> 3 [size =\"42454016\"]\n  2 -> 4 [size =\"42454016\"]\n  3 [size=\"22225920\", alpha=\"0.10\", expect_size=\"8890368\"] \n  3 -> 6 [size =\"8890368\"]\n  4 [size=\"57443840\", alpha=\"0.02\", expect_size=\"22977536\"] \n  4 -> 6 [size =\"22977536\"]\n  4 -> 7 [size =\"22977536\"]\n  5 [size=\"41776640\", alpha=\"0.01\", expect_size=\"16710656\"] \n  5 -> 6 [size =\"16710656\"]\n  5 -> 7 [size =\"16710656\"]\n  6 [size=\"16143360\", alpha=\"0.03\", expect_size=\"6457344\"] \n  6 -> 8 [size =\"6457344\"]\n  6 -> 9 [size =\"6457344\"]\n  6 -> 10 [size =\"6457344\"]\n  7 [size=\"100794880\", alpha=\"0.03\", expect_size=\"40317952\"] \n  7 -> 8 [size =\"40317952\"]\n  7 -> 10 [size =\"40317952\"]\n  8 [size=\"114375680\", alpha=\"0.10\", expect_size=\"45750272\"] \n  8 -> 12 [size =\"45750272\"]\n  9 [size=\"65679360\", alpha=\"0.01\", expect_size=\"26271744\"] \n  9 -> 11 [size =\"26271744\"]\n  10 [size=\"114280960\", alpha=\"0.06\", expect_size=\"45712384\"] \n  10 -> 11 [size =\"45712384\"]\n  10 -> 12 [size =\"45712384\"]\n  11 [size=\"101312000\", alpha=\"0.09\", expect_size=\"40524800\"] \n  11 -> 14 [size =\"40524800\"]\n  12 [size=\"120632320\", alpha=\"0.15\", expect_size=\"48252928\"] \n  12 -> 13 [size =\"48252928\"]\n  12 -> 14 [size =\"48252928\"]\n  12 -> 15 [size =\"48252928\"]\n  13 [size=\"119513600\", alpha=\"0.09\", expect_size=\"47805440\"] \n  14 [size=\"61739520\", alpha=\"0.05\", expect_size=\"24695808\"] \n  15 [size=\"74370560\", alpha=\"0.10\", expect_size=\"29748224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51920213\", alpha=\"0.17\", expect_size=\"15576064\"] \n  1 -> 8 [size =\"15576064\"]\n  1 -> 9 [size =\"15576064\"]\n  1 -> 12 [size =\"15576064\"]\n  2 [size=\"68891307\", alpha=\"0.16\", expect_size=\"20667392\"] \n  2 -> 7 [size =\"20667392\"]\n  2 -> 8 [size =\"20667392\"]\n  2 -> 9 [size =\"20667392\"]\n  2 -> 10 [size =\"20667392\"]\n  2 -> 11 [size =\"20667392\"]\n  2 -> 12 [size =\"20667392\"]\n  3 [size=\"90323627\", alpha=\"0.06\", expect_size=\"27097088\"] \n  3 -> 7 [size =\"27097088\"]\n  3 -> 11 [size =\"27097088\"]\n  4 [size=\"156863147\", alpha=\"0.20\", expect_size=\"47058944\"] \n  4 -> 7 [size =\"47058944\"]\n  4 -> 8 [size =\"47058944\"]\n  4 -> 12 [size =\"47058944\"]\n  5 [size=\"65085440\", alpha=\"0.13\", expect_size=\"19525632\"] \n  5 -> 7 [size =\"19525632\"]\n  5 -> 8 [size =\"19525632\"]\n  5 -> 11 [size =\"19525632\"]\n  5 -> 12 [size =\"19525632\"]\n  6 [size=\"39273813\", alpha=\"0.14\", expect_size=\"11782144\"] \n  6 -> 9 [size =\"11782144\"]\n  6 -> 10 [size =\"11782144\"]\n  6 -> 11 [size =\"11782144\"]\n  6 -> 12 [size =\"11782144\"]\n  6 -> 13 [size =\"11782144\"]\n  7 [size=\"118930773\", alpha=\"0.18\", expect_size=\"35679232\"] \n  8 [size=\"129979733\", alpha=\"0.02\", expect_size=\"38993920\"] \n  8 -> 14 [size =\"38993920\"]\n  9 [size=\"137693867\", alpha=\"0.13\", expect_size=\"41308160\"] \n  9 -> 15 [size =\"41308160\"]\n  10 [size=\"126767787\", alpha=\"0.10\", expect_size=\"38030336\"] \n  11 [size=\"51230720\", alpha=\"0.03\", expect_size=\"15369216\"] \n  12 [size=\"25173333\", alpha=\"0.17\", expect_size=\"7552000\"] \n  12 -> 14 [size =\"7552000\"]\n  12 -> 15 [size =\"7552000\"]\n  13 [size=\"147479893\", alpha=\"0.04\", expect_size=\"44243968\"] \n  14 [size=\"40106667\", alpha=\"0.10\", expect_size=\"12032000\"] \n  15 [size=\"39577600\", alpha=\"0.13\", expect_size=\"11873280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71088640\", alpha=\"0.10\", expect_size=\"28435456\"] \n  2 [size=\"58004480\", alpha=\"0.19\", expect_size=\"23201792\"] \n  3 [size=\"40399360\", alpha=\"0.20\", expect_size=\"16159744\"] \n  4 [size=\"77516800\", alpha=\"0.19\", expect_size=\"31006720\"] \n  5 [size=\"41405440\", alpha=\"0.03\", expect_size=\"16562176\"] \n  6 [size=\"66135040\", alpha=\"0.08\", expect_size=\"26454016\"] \n  6 -> 13 [size =\"26454016\"]\n  6 -> 14 [size =\"26454016\"]\n  6 -> 15 [size =\"26454016\"]\n  7 [size=\"63050240\", alpha=\"0.02\", expect_size=\"25220096\"] \n  8 [size=\"24791040\", alpha=\"0.07\", expect_size=\"9916416\"] \n  8 -> 13 [size =\"9916416\"]\n  9 [size=\"70612480\", alpha=\"0.06\", expect_size=\"28244992\"] \n  10 [size=\"110888960\", alpha=\"0.01\", expect_size=\"44355584\"] \n  10 -> 13 [size =\"44355584\"]\n  11 [size=\"92736000\", alpha=\"0.18\", expect_size=\"37094400\"] \n  12 [size=\"33374720\", alpha=\"0.01\", expect_size=\"13349888\"] \n  13 [size=\"28672000\", alpha=\"0.18\", expect_size=\"11468800\"] \n  14 [size=\"26191360\", alpha=\"0.11\", expect_size=\"10476544\"] \n  15 [size=\"22676480\", alpha=\"0.01\", expect_size=\"9070592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114076160\", alpha=\"0.15\", expect_size=\"45630464\"] \n  2 [size=\"18414080\", alpha=\"0.08\", expect_size=\"7365632\"] \n  2 -> 6 [size =\"7365632\"]\n  3 [size=\"28185600\", alpha=\"0.03\", expect_size=\"11274240\"] \n  3 -> 6 [size =\"11274240\"]\n  3 -> 7 [size =\"11274240\"]\n  3 -> 8 [size =\"11274240\"]\n  4 [size=\"34736640\", alpha=\"0.10\", expect_size=\"13894656\"] \n  4 -> 6 [size =\"13894656\"]\n  4 -> 7 [size =\"13894656\"]\n  5 [size=\"97520640\", alpha=\"0.13\", expect_size=\"39008256\"] \n  5 -> 9 [size =\"39008256\"]\n  6 [size=\"15201280\", alpha=\"0.07\", expect_size=\"6080512\"] \n  6 -> 13 [size =\"6080512\"]\n  6 -> 15 [size =\"6080512\"]\n  7 [size=\"42035200\", alpha=\"0.03\", expect_size=\"16814080\"] \n  7 -> 11 [size =\"16814080\"]\n  7 -> 14 [size =\"16814080\"]\n  7 -> 15 [size =\"16814080\"]\n  8 [size=\"32588800\", alpha=\"0.00\", expect_size=\"13035520\"] \n  8 -> 12 [size =\"13035520\"]\n  8 -> 14 [size =\"13035520\"]\n  9 [size=\"30192640\", alpha=\"0.15\", expect_size=\"12077056\"] \n  9 -> 10 [size =\"12077056\"]\n  9 -> 13 [size =\"12077056\"]\n  10 [size=\"121064960\", alpha=\"0.19\", expect_size=\"48425984\"] \n  11 [size=\"76674560\", alpha=\"0.09\", expect_size=\"30669824\"] \n  12 [size=\"50088960\", alpha=\"0.05\", expect_size=\"20035584\"] \n  13 [size=\"95767040\", alpha=\"0.12\", expect_size=\"38306816\"] \n  14 [size=\"112258560\", alpha=\"0.10\", expect_size=\"44903424\"] \n  15 [size=\"50741760\", alpha=\"0.01\", expect_size=\"20296704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96143360\", alpha=\"0.04\", expect_size=\"28843008\"] \n  1 -> 8 [size =\"28843008\"]\n  1 -> 10 [size =\"28843008\"]\n  2 [size=\"138868053\", alpha=\"0.10\", expect_size=\"41660416\"] \n  2 -> 7 [size =\"41660416\"]\n  3 [size=\"143742293\", alpha=\"0.09\", expect_size=\"43122688\"] \n  4 [size=\"173595307\", alpha=\"0.09\", expect_size=\"52078592\"] \n  5 [size=\"39912107\", alpha=\"0.04\", expect_size=\"11973632\"] \n  5 -> 9 [size =\"11973632\"]\n  5 -> 10 [size =\"11973632\"]\n  6 [size=\"82496853\", alpha=\"0.00\", expect_size=\"24749056\"] \n  6 -> 7 [size =\"24749056\"]\n  6 -> 9 [size =\"24749056\"]\n  6 -> 10 [size =\"24749056\"]\n  7 [size=\"74806613\", alpha=\"0.08\", expect_size=\"22441984\"] \n  8 [size=\"39021227\", alpha=\"0.09\", expect_size=\"11706368\"] \n  8 -> 13 [size =\"11706368\"]\n  9 [size=\"25429333\", alpha=\"0.18\", expect_size=\"7628800\"] \n  9 -> 11 [size =\"7628800\"]\n  9 -> 13 [size =\"7628800\"]\n  9 -> 14 [size =\"7628800\"]\n  9 -> 15 [size =\"7628800\"]\n  10 [size=\"121972053\", alpha=\"0.19\", expect_size=\"36591616\"] \n  10 -> 12 [size =\"36591616\"]\n  10 -> 14 [size =\"36591616\"]\n  10 -> 15 [size =\"36591616\"]\n  11 [size=\"79769600\", alpha=\"0.06\", expect_size=\"23930880\"] \n  12 [size=\"114281813\", alpha=\"0.14\", expect_size=\"34284544\"] \n  13 [size=\"35932160\", alpha=\"0.01\", expect_size=\"10779648\"] \n  14 [size=\"109523627\", alpha=\"0.12\", expect_size=\"32857088\"] \n  15 [size=\"25658027\", alpha=\"0.19\", expect_size=\"7697408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15489024\", alpha=\"0.04\", expect_size=\"7744512\"] \n  1 -> 2 [size =\"7744512\"]\n  2 [size=\"37793792\", alpha=\"0.13\", expect_size=\"18896896\"] \n  2 -> 3 [size =\"18896896\"]\n  3 [size=\"101142528\", alpha=\"0.02\", expect_size=\"50571264\"] \n  3 -> 4 [size =\"50571264\"]\n  4 [size=\"65374208\", alpha=\"0.17\", expect_size=\"32687104\"] \n  4 -> 5 [size =\"32687104\"]\n  5 [size=\"97720320\", alpha=\"0.00\", expect_size=\"48860160\"] \n  5 -> 6 [size =\"48860160\"]\n  6 [size=\"45973504\", alpha=\"0.17\", expect_size=\"22986752\"] \n  6 -> 7 [size =\"22986752\"]\n  7 [size=\"30230528\", alpha=\"0.12\", expect_size=\"15115264\"] \n  7 -> 8 [size =\"15115264\"]\n  8 [size=\"92190720\", alpha=\"0.12\", expect_size=\"46095360\"] \n  8 -> 9 [size =\"46095360\"]\n  9 [size=\"102336512\", alpha=\"0.09\", expect_size=\"51168256\"] \n  9 -> 10 [size =\"51168256\"]\n  10 [size=\"82083840\", alpha=\"0.02\", expect_size=\"41041920\"] \n  10 -> 11 [size =\"41041920\"]\n  11 [size=\"76660736\", alpha=\"0.16\", expect_size=\"38330368\"] \n  11 -> 12 [size =\"38330368\"]\n  12 [size=\"97462272\", alpha=\"0.18\", expect_size=\"48731136\"] \n  12 -> 13 [size =\"48731136\"]\n  13 [size=\"63571968\", alpha=\"0.08\", expect_size=\"31785984\"] \n  13 -> 14 [size =\"31785984\"]\n  14 [size=\"74407936\", alpha=\"0.04\", expect_size=\"37203968\"] \n  14 -> 15 [size =\"37203968\"]\n  15 [size=\"59117568\", alpha=\"0.02\", expect_size=\"29558784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93911040\", alpha=\"0.05\", expect_size=\"28173312\"] \n  1 -> 2 [size =\"28173312\"]\n  2 [size=\"126365013\", alpha=\"0.16\", expect_size=\"37909504\"] \n  2 -> 3 [size =\"37909504\"]\n  3 [size=\"31464107\", alpha=\"0.08\", expect_size=\"9439232\"] \n  3 -> 4 [size =\"9439232\"]\n  4 [size=\"106280960\", alpha=\"0.06\", expect_size=\"31884288\"] \n  4 -> 5 [size =\"31884288\"]\n  5 [size=\"71563947\", alpha=\"0.13\", expect_size=\"21469184\"] \n  5 -> 6 [size =\"21469184\"]\n  6 [size=\"39840427\", alpha=\"0.17\", expect_size=\"11952128\"] \n  6 -> 7 [size =\"11952128\"]\n  7 [size=\"31204693\", alpha=\"0.09\", expect_size=\"9361408\"] \n  7 -> 8 [size =\"9361408\"]\n  8 [size=\"47892480\", alpha=\"0.01\", expect_size=\"14367744\"] \n  8 -> 9 [size =\"14367744\"]\n  9 [size=\"83732480\", alpha=\"0.19\", expect_size=\"25119744\"] \n  9 -> 10 [size =\"25119744\"]\n  10 [size=\"24023040\", alpha=\"0.14\", expect_size=\"7206912\"] \n  10 -> 11 [size =\"7206912\"]\n  11 [size=\"171724800\", alpha=\"0.06\", expect_size=\"51517440\"] \n  11 -> 12 [size =\"51517440\"]\n  12 [size=\"56084480\", alpha=\"0.04\", expect_size=\"16825344\"] \n  12 -> 13 [size =\"16825344\"]\n  13 [size=\"25323520\", alpha=\"0.03\", expect_size=\"7597056\"] \n  13 -> 14 [size =\"7597056\"]\n  14 [size=\"84998827\", alpha=\"0.18\", expect_size=\"25499648\"] \n  14 -> 15 [size =\"25499648\"]\n  15 [size=\"129675947\", alpha=\"0.10\", expect_size=\"38902784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122016427\", alpha=\"0.06\", expect_size=\"36604928\"] \n  1 -> 3 [size =\"36604928\"]\n  2 [size=\"162498560\", alpha=\"0.18\", expect_size=\"48749568\"] \n  3 [size=\"70341973\", alpha=\"0.18\", expect_size=\"21102592\"] \n  3 -> 4 [size =\"21102592\"]\n  4 [size=\"170304853\", alpha=\"0.11\", expect_size=\"51091456\"] \n  4 -> 5 [size =\"51091456\"]\n  4 -> 6 [size =\"51091456\"]\n  5 [size=\"53695147\", alpha=\"0.14\", expect_size=\"16108544\"] \n  5 -> 7 [size =\"16108544\"]\n  5 -> 9 [size =\"16108544\"]\n  5 -> 10 [size =\"16108544\"]\n  6 [size=\"68720640\", alpha=\"0.00\", expect_size=\"20616192\"] \n  6 -> 7 [size =\"20616192\"]\n  6 -> 8 [size =\"20616192\"]\n  6 -> 10 [size =\"20616192\"]\n  7 [size=\"52094293\", alpha=\"0.14\", expect_size=\"15628288\"] \n  7 -> 12 [size =\"15628288\"]\n  7 -> 13 [size =\"15628288\"]\n  8 [size=\"139386880\", alpha=\"0.07\", expect_size=\"41816064\"] \n  8 -> 11 [size =\"41816064\"]\n  9 [size=\"35720533\", alpha=\"0.08\", expect_size=\"10716160\"] \n  9 -> 11 [size =\"10716160\"]\n  9 -> 13 [size =\"10716160\"]\n  10 [size=\"101632000\", alpha=\"0.19\", expect_size=\"30489600\"] \n  10 -> 11 [size =\"30489600\"]\n  10 -> 13 [size =\"30489600\"]\n  11 [size=\"170185387\", alpha=\"0.06\", expect_size=\"51055616\"] \n  11 -> 14 [size =\"51055616\"]\n  12 [size=\"61422933\", alpha=\"0.15\", expect_size=\"18426880\"] \n  12 -> 14 [size =\"18426880\"]\n  12 -> 15 [size =\"18426880\"]\n  13 [size=\"45363200\", alpha=\"0.13\", expect_size=\"13608960\"] \n  14 [size=\"29269333\", alpha=\"0.09\", expect_size=\"8780800\"] \n  15 [size=\"118923947\", alpha=\"0.18\", expect_size=\"35677184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101977600\", alpha=\"0.20\", expect_size=\"40791040\"] \n  1 -> 3 [size =\"40791040\"]\n  1 -> 4 [size =\"40791040\"]\n  2 [size=\"64975360\", alpha=\"0.14\", expect_size=\"25990144\"] \n  2 -> 4 [size =\"25990144\"]\n  2 -> 5 [size =\"25990144\"]\n  3 [size=\"64839680\", alpha=\"0.06\", expect_size=\"25935872\"] \n  3 -> 6 [size =\"25935872\"]\n  3 -> 7 [size =\"25935872\"]\n  3 -> 8 [size =\"25935872\"]\n  4 [size=\"111495680\", alpha=\"0.09\", expect_size=\"44598272\"] \n  4 -> 7 [size =\"44598272\"]\n  4 -> 8 [size =\"44598272\"]\n  5 [size=\"78415360\", alpha=\"0.16\", expect_size=\"31366144\"] \n  5 -> 7 [size =\"31366144\"]\n  5 -> 8 [size =\"31366144\"]\n  6 [size=\"40455680\", alpha=\"0.20\", expect_size=\"16182272\"] \n  6 -> 9 [size =\"16182272\"]\n  6 -> 10 [size =\"16182272\"]\n  7 [size=\"34352640\", alpha=\"0.12\", expect_size=\"13741056\"] \n  7 -> 9 [size =\"13741056\"]\n  7 -> 10 [size =\"13741056\"]\n  8 [size=\"126686720\", alpha=\"0.02\", expect_size=\"50674688\"] \n  8 -> 9 [size =\"50674688\"]\n  8 -> 10 [size =\"50674688\"]\n  9 [size=\"15715840\", alpha=\"0.15\", expect_size=\"6286336\"] \n  10 [size=\"22950400\", alpha=\"0.05\", expect_size=\"9180160\"] \n  10 -> 11 [size =\"9180160\"]\n  10 -> 12 [size =\"9180160\"]\n  11 [size=\"41881600\", alpha=\"0.14\", expect_size=\"16752640\"] \n  11 -> 13 [size =\"16752640\"]\n  11 -> 14 [size =\"16752640\"]\n  12 [size=\"39639040\", alpha=\"0.19\", expect_size=\"15855616\"] \n  12 -> 13 [size =\"15855616\"]\n  12 -> 14 [size =\"15855616\"]\n  13 [size=\"122723840\", alpha=\"0.17\", expect_size=\"49089536\"] \n  13 -> 15 [size =\"49089536\"]\n  14 [size=\"42680320\", alpha=\"0.13\", expect_size=\"17072128\"] \n  14 -> 15 [size =\"17072128\"]\n  15 [size=\"97157120\", alpha=\"0.15\", expect_size=\"38862848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89577472\", alpha=\"0.13\", expect_size=\"44788736\"] \n  1 -> 3 [size =\"44788736\"]\n  1 -> 4 [size =\"44788736\"]\n  2 [size=\"100341760\", alpha=\"0.10\", expect_size=\"50170880\"] \n  2 -> 3 [size =\"50170880\"]\n  2 -> 4 [size =\"50170880\"]\n  3 [size=\"13715456\", alpha=\"0.05\", expect_size=\"6857728\"] \n  4 [size=\"75382784\", alpha=\"0.17\", expect_size=\"37691392\"] \n  4 -> 5 [size =\"37691392\"]\n  4 -> 6 [size =\"37691392\"]\n  5 [size=\"92176384\", alpha=\"0.08\", expect_size=\"46088192\"] \n  5 -> 8 [size =\"46088192\"]\n  5 -> 9 [size =\"46088192\"]\n  6 [size=\"69296128\", alpha=\"0.08\", expect_size=\"34648064\"] \n  6 -> 7 [size =\"34648064\"]\n  7 [size=\"69111808\", alpha=\"0.10\", expect_size=\"34555904\"] \n  8 [size=\"69609472\", alpha=\"0.06\", expect_size=\"34804736\"] \n  9 [size=\"95201280\", alpha=\"0.11\", expect_size=\"47600640\"] \n  9 -> 10 [size =\"47600640\"]\n  9 -> 11 [size =\"47600640\"]\n  10 [size=\"66480128\", alpha=\"0.10\", expect_size=\"33240064\"] \n  10 -> 12 [size =\"33240064\"]\n  10 -> 13 [size =\"33240064\"]\n  11 [size=\"54720512\", alpha=\"0.11\", expect_size=\"27360256\"] \n  11 -> 13 [size =\"27360256\"]\n  11 -> 14 [size =\"27360256\"]\n  12 [size=\"20908032\", alpha=\"0.02\", expect_size=\"10454016\"] \n  13 [size=\"67770368\", alpha=\"0.10\", expect_size=\"33885184\"] \n  13 -> 15 [size =\"33885184\"]\n  14 [size=\"89315328\", alpha=\"0.06\", expect_size=\"44657664\"] \n  14 -> 15 [size =\"44657664\"]\n  15 [size=\"73598976\", alpha=\"0.11\", expect_size=\"36799488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96389120\", alpha=\"0.13\", expect_size=\"48194560\"] \n  1 -> 2 [size =\"48194560\"]\n  2 [size=\"45004800\", alpha=\"0.11\", expect_size=\"22502400\"] \n  2 -> 3 [size =\"22502400\"]\n  3 [size=\"45570048\", alpha=\"0.14\", expect_size=\"22785024\"] \n  3 -> 4 [size =\"22785024\"]\n  3 -> 5 [size =\"22785024\"]\n  4 [size=\"93057024\", alpha=\"0.01\", expect_size=\"46528512\"] \n  4 -> 6 [size =\"46528512\"]\n  5 [size=\"89622528\", alpha=\"0.12\", expect_size=\"44811264\"] \n  5 -> 6 [size =\"44811264\"]\n  6 [size=\"53008384\", alpha=\"0.07\", expect_size=\"26504192\"] \n  6 -> 7 [size =\"26504192\"]\n  7 [size=\"72529920\", alpha=\"0.16\", expect_size=\"36264960\"] \n  7 -> 8 [size =\"36264960\"]\n  7 -> 9 [size =\"36264960\"]\n  8 [size=\"24705024\", alpha=\"0.13\", expect_size=\"12352512\"] \n  8 -> 10 [size =\"12352512\"]\n  8 -> 11 [size =\"12352512\"]\n  9 [size=\"32796672\", alpha=\"0.05\", expect_size=\"16398336\"] \n  9 -> 10 [size =\"16398336\"]\n  9 -> 11 [size =\"16398336\"]\n  10 [size=\"26556416\", alpha=\"0.02\", expect_size=\"13278208\"] \n  10 -> 12 [size =\"13278208\"]\n  11 [size=\"24473600\", alpha=\"0.18\", expect_size=\"12236800\"] \n  12 [size=\"85422080\", alpha=\"0.11\", expect_size=\"42711040\"] \n  12 -> 13 [size =\"42711040\"]\n  12 -> 14 [size =\"42711040\"]\n  13 [size=\"43943936\", alpha=\"0.15\", expect_size=\"21971968\"] \n  13 -> 15 [size =\"21971968\"]\n  14 [size=\"15691776\", alpha=\"0.16\", expect_size=\"7845888\"] \n  14 -> 15 [size =\"7845888\"]\n  15 [size=\"19675136\", alpha=\"0.13\", expect_size=\"9837568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12576768\", alpha=\"0.10\", expect_size=\"6288384\"] \n  2 [size=\"104378368\", alpha=\"0.12\", expect_size=\"52189184\"] \n  2 -> 3 [size =\"52189184\"]\n  2 -> 4 [size =\"52189184\"]\n  3 [size=\"33826816\", alpha=\"0.01\", expect_size=\"16913408\"] \n  3 -> 6 [size =\"16913408\"]\n  3 -> 7 [size =\"16913408\"]\n  4 [size=\"97449984\", alpha=\"0.02\", expect_size=\"48724992\"] \n  4 -> 5 [size =\"48724992\"]\n  5 [size=\"59750400\", alpha=\"0.12\", expect_size=\"29875200\"] \n  5 -> 8 [size =\"29875200\"]\n  5 -> 9 [size =\"29875200\"]\n  6 [size=\"99706880\", alpha=\"0.17\", expect_size=\"49853440\"] \n  7 [size=\"62552064\", alpha=\"0.16\", expect_size=\"31276032\"] \n  8 [size=\"58853376\", alpha=\"0.06\", expect_size=\"29426688\"] \n  8 -> 11 [size =\"29426688\"]\n  9 [size=\"78452736\", alpha=\"0.05\", expect_size=\"39226368\"] \n  9 -> 10 [size =\"39226368\"]\n  10 [size=\"29339648\", alpha=\"0.01\", expect_size=\"14669824\"] \n  11 [size=\"12681216\", alpha=\"0.17\", expect_size=\"6340608\"] \n  11 -> 12 [size =\"6340608\"]\n  11 -> 13 [size =\"6340608\"]\n  11 -> 14 [size =\"6340608\"]\n  12 [size=\"58458112\", alpha=\"0.01\", expect_size=\"29229056\"] \n  13 [size=\"21387264\", alpha=\"0.08\", expect_size=\"10693632\"] \n  13 -> 15 [size =\"10693632\"]\n  14 [size=\"28282880\", alpha=\"0.16\", expect_size=\"14141440\"] \n  15 [size=\"39008256\", alpha=\"0.16\", expect_size=\"19504128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85268480\", alpha=\"0.13\", expect_size=\"34107392\"] \n  1 -> 3 [size =\"34107392\"]\n  2 [size=\"14656000\", alpha=\"0.08\", expect_size=\"5862400\"] \n  2 -> 4 [size =\"5862400\"]\n  2 -> 5 [size =\"5862400\"]\n  3 [size=\"113356800\", alpha=\"0.20\", expect_size=\"45342720\"] \n  3 -> 6 [size =\"45342720\"]\n  4 [size=\"105502720\", alpha=\"0.10\", expect_size=\"42201088\"] \n  4 -> 7 [size =\"42201088\"]\n  4 -> 8 [size =\"42201088\"]\n  5 [size=\"53655040\", alpha=\"0.04\", expect_size=\"21462016\"] \n  5 -> 6 [size =\"21462016\"]\n  5 -> 8 [size =\"21462016\"]\n  6 [size=\"113192960\", alpha=\"0.16\", expect_size=\"45277184\"] \n  7 [size=\"72906240\", alpha=\"0.03\", expect_size=\"29162496\"] \n  7 -> 9 [size =\"29162496\"]\n  8 [size=\"35896320\", alpha=\"0.10\", expect_size=\"14358528\"] \n  9 [size=\"85816320\", alpha=\"0.02\", expect_size=\"34326528\"] \n  9 -> 10 [size =\"34326528\"]\n  9 -> 11 [size =\"34326528\"]\n  10 [size=\"99765760\", alpha=\"0.17\", expect_size=\"39906304\"] \n  10 -> 12 [size =\"39906304\"]\n  11 [size=\"104926720\", alpha=\"0.04\", expect_size=\"41970688\"] \n  11 -> 13 [size =\"41970688\"]\n  11 -> 14 [size =\"41970688\"]\n  12 [size=\"63912960\", alpha=\"0.05\", expect_size=\"25565184\"] \n  13 [size=\"111966720\", alpha=\"0.12\", expect_size=\"44786688\"] \n  14 [size=\"110737920\", alpha=\"0.10\", expect_size=\"44295168\"] \n  14 -> 15 [size =\"44295168\"]\n  15 [size=\"51407360\", alpha=\"0.14\", expect_size=\"20562944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94756864\", alpha=\"0.07\", expect_size=\"47378432\"] \n  2 [size=\"13944832\", alpha=\"0.07\", expect_size=\"6972416\"] \n  2 -> 5 [size =\"6972416\"]\n  3 [size=\"99229696\", alpha=\"0.15\", expect_size=\"49614848\"] \n  3 -> 4 [size =\"49614848\"]\n  4 [size=\"97634304\", alpha=\"0.20\", expect_size=\"48817152\"] \n  4 -> 6 [size =\"48817152\"]\n  4 -> 8 [size =\"48817152\"]\n  5 [size=\"99946496\", alpha=\"0.01\", expect_size=\"49973248\"] \n  5 -> 7 [size =\"49973248\"]\n  5 -> 8 [size =\"49973248\"]\n  6 [size=\"99973120\", alpha=\"0.07\", expect_size=\"49986560\"] \n  6 -> 9 [size =\"49986560\"]\n  7 [size=\"50982912\", alpha=\"0.08\", expect_size=\"25491456\"] \n  8 [size=\"97163264\", alpha=\"0.19\", expect_size=\"48581632\"] \n  8 -> 10 [size =\"48581632\"]\n  9 [size=\"73220096\", alpha=\"0.03\", expect_size=\"36610048\"] \n  9 -> 11 [size =\"36610048\"]\n  10 [size=\"35301376\", alpha=\"0.10\", expect_size=\"17650688\"] \n  10 -> 12 [size =\"17650688\"]\n  11 [size=\"18677760\", alpha=\"0.11\", expect_size=\"9338880\"] \n  11 -> 13 [size =\"9338880\"]\n  11 -> 14 [size =\"9338880\"]\n  12 [size=\"51163136\", alpha=\"0.01\", expect_size=\"25581568\"] \n  12 -> 15 [size =\"25581568\"]\n  13 [size=\"86265856\", alpha=\"0.02\", expect_size=\"43132928\"] \n  14 [size=\"60366848\", alpha=\"0.13\", expect_size=\"30183424\"] \n  15 [size=\"58562560\", alpha=\"0.17\", expect_size=\"29281280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136864427\", alpha=\"0.04\", expect_size=\"41059328\"] \n  1 -> 7 [size =\"41059328\"]\n  1 -> 9 [size =\"41059328\"]\n  1 -> 10 [size =\"41059328\"]\n  2 [size=\"59398827\", alpha=\"0.10\", expect_size=\"17819648\"] \n  2 -> 9 [size =\"17819648\"]\n  2 -> 10 [size =\"17819648\"]\n  3 [size=\"68225707\", alpha=\"0.18\", expect_size=\"20467712\"] \n  3 -> 6 [size =\"20467712\"]\n  3 -> 9 [size =\"20467712\"]\n  3 -> 10 [size =\"20467712\"]\n  4 [size=\"129351680\", alpha=\"0.16\", expect_size=\"38805504\"] \n  4 -> 6 [size =\"38805504\"]\n  4 -> 7 [size =\"38805504\"]\n  4 -> 8 [size =\"38805504\"]\n  4 -> 9 [size =\"38805504\"]\n  4 -> 10 [size =\"38805504\"]\n  5 [size=\"82046293\", alpha=\"0.09\", expect_size=\"24613888\"] \n  5 -> 7 [size =\"24613888\"]\n  5 -> 8 [size =\"24613888\"]\n  5 -> 9 [size =\"24613888\"]\n  5 -> 10 [size =\"24613888\"]\n  6 [size=\"156794880\", alpha=\"0.16\", expect_size=\"47038464\"] \n  6 -> 11 [size =\"47038464\"]\n  6 -> 13 [size =\"47038464\"]\n  7 [size=\"70154240\", alpha=\"0.01\", expect_size=\"21046272\"] \n  7 -> 12 [size =\"21046272\"]\n  8 [size=\"137588053\", alpha=\"0.04\", expect_size=\"41276416\"] \n  8 -> 12 [size =\"41276416\"]\n  8 -> 14 [size =\"41276416\"]\n  8 -> 15 [size =\"41276416\"]\n  9 [size=\"27381760\", alpha=\"0.11\", expect_size=\"8214528\"] \n  9 -> 11 [size =\"8214528\"]\n  9 -> 14 [size =\"8214528\"]\n  10 [size=\"56070827\", alpha=\"0.00\", expect_size=\"16821248\"] \n  10 -> 11 [size =\"16821248\"]\n  10 -> 14 [size =\"16821248\"]\n  10 -> 15 [size =\"16821248\"]\n  11 [size=\"162696533\", alpha=\"0.04\", expect_size=\"48808960\"] \n  12 [size=\"35717120\", alpha=\"0.08\", expect_size=\"10715136\"] \n  13 [size=\"114210133\", alpha=\"0.19\", expect_size=\"34263040\"] \n  14 [size=\"95385600\", alpha=\"0.18\", expect_size=\"28615680\"] \n  15 [size=\"66109440\", alpha=\"0.11\", expect_size=\"19832832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60398080\", alpha=\"0.03\", expect_size=\"24159232\"] \n  1 -> 9 [size =\"24159232\"]\n  1 -> 10 [size =\"24159232\"]\n  2 [size=\"129940480\", alpha=\"0.02\", expect_size=\"51976192\"] \n  2 -> 9 [size =\"51976192\"]\n  2 -> 12 [size =\"51976192\"]\n  3 [size=\"71388160\", alpha=\"0.14\", expect_size=\"28555264\"] \n  3 -> 9 [size =\"28555264\"]\n  3 -> 11 [size =\"28555264\"]\n  4 [size=\"73999360\", alpha=\"0.06\", expect_size=\"29599744\"] \n  4 -> 11 [size =\"29599744\"]\n  4 -> 12 [size =\"29599744\"]\n  5 [size=\"52305920\", alpha=\"0.20\", expect_size=\"20922368\"] \n  5 -> 12 [size =\"20922368\"]\n  6 [size=\"104527360\", alpha=\"0.19\", expect_size=\"41810944\"] \n  6 -> 11 [size =\"41810944\"]\n  7 [size=\"124748800\", alpha=\"0.16\", expect_size=\"49899520\"] \n  8 [size=\"39774720\", alpha=\"0.03\", expect_size=\"15909888\"] \n  8 -> 9 [size =\"15909888\"]\n  9 [size=\"126041600\", alpha=\"0.03\", expect_size=\"50416640\"] \n  9 -> 14 [size =\"50416640\"]\n  10 [size=\"128814080\", alpha=\"0.09\", expect_size=\"51525632\"] \n  11 [size=\"103234560\", alpha=\"0.00\", expect_size=\"41293824\"] \n  11 -> 13 [size =\"41293824\"]\n  11 -> 15 [size =\"41293824\"]\n  12 [size=\"119065600\", alpha=\"0.16\", expect_size=\"47626240\"] \n  13 [size=\"14056960\", alpha=\"0.07\", expect_size=\"5622784\"] \n  14 [size=\"97090560\", alpha=\"0.09\", expect_size=\"38836224\"] \n  15 [size=\"14138880\", alpha=\"0.09\", expect_size=\"5655552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46667776\", alpha=\"0.03\", expect_size=\"23333888\"] \n  1 -> 4 [size =\"23333888\"]\n  2 [size=\"64438272\", alpha=\"0.16\", expect_size=\"32219136\"] \n  2 -> 3 [size =\"32219136\"]\n  2 -> 4 [size =\"32219136\"]\n  3 [size=\"25823232\", alpha=\"0.05\", expect_size=\"12911616\"] \n  3 -> 5 [size =\"12911616\"]\n  4 [size=\"93089792\", alpha=\"0.13\", expect_size=\"46544896\"] \n  4 -> 6 [size =\"46544896\"]\n  5 [size=\"87648256\", alpha=\"0.01\", expect_size=\"43824128\"] \n  5 -> 7 [size =\"43824128\"]\n  5 -> 8 [size =\"43824128\"]\n  6 [size=\"64159744\", alpha=\"0.04\", expect_size=\"32079872\"] \n  6 -> 7 [size =\"32079872\"]\n  7 [size=\"46989312\", alpha=\"0.07\", expect_size=\"23494656\"] \n  7 -> 9 [size =\"23494656\"]\n  8 [size=\"81559552\", alpha=\"0.14\", expect_size=\"40779776\"] \n  8 -> 9 [size =\"40779776\"]\n  8 -> 10 [size =\"40779776\"]\n  9 [size=\"88555520\", alpha=\"0.02\", expect_size=\"44277760\"] \n  9 -> 12 [size =\"44277760\"]\n  9 -> 13 [size =\"44277760\"]\n  10 [size=\"92307456\", alpha=\"0.14\", expect_size=\"46153728\"] \n  10 -> 11 [size =\"46153728\"]\n  11 [size=\"65026048\", alpha=\"0.08\", expect_size=\"32513024\"] \n  11 -> 14 [size =\"32513024\"]\n  11 -> 15 [size =\"32513024\"]\n  12 [size=\"80281600\", alpha=\"0.18\", expect_size=\"40140800\"] \n  12 -> 15 [size =\"40140800\"]\n  12 -> 15 [size =\"40140800\"]\n  13 [size=\"63000576\", alpha=\"0.14\", expect_size=\"31500288\"] \n  13 -> 14 [size =\"31500288\"]\n  14 [size=\"86546432\", alpha=\"0.04\", expect_size=\"43273216\"] \n  15 [size=\"54390784\", alpha=\"0.16\", expect_size=\"27195392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71603200\", alpha=\"0.16\", expect_size=\"28641280\"] \n  1 -> 15 [size =\"28641280\"]\n  2 [size=\"15454720\", alpha=\"0.19\", expect_size=\"6181888\"] \n  3 [size=\"111549440\", alpha=\"0.12\", expect_size=\"44619776\"] \n  3 -> 15 [size =\"44619776\"]\n  4 [size=\"113902080\", alpha=\"0.15\", expect_size=\"45560832\"] \n  4 -> 15 [size =\"45560832\"]\n  5 [size=\"44544000\", alpha=\"0.15\", expect_size=\"17817600\"] \n  6 [size=\"77329920\", alpha=\"0.03\", expect_size=\"30931968\"] \n  7 [size=\"100948480\", alpha=\"0.10\", expect_size=\"40379392\"] \n  8 [size=\"106675200\", alpha=\"0.17\", expect_size=\"42670080\"] \n  9 [size=\"127375360\", alpha=\"0.09\", expect_size=\"50950144\"] \n  10 [size=\"63127040\", alpha=\"0.05\", expect_size=\"25250816\"] \n  11 [size=\"116160000\", alpha=\"0.18\", expect_size=\"46464000\"] \n  12 [size=\"91796480\", alpha=\"0.07\", expect_size=\"36718592\"] \n  13 [size=\"88665600\", alpha=\"0.14\", expect_size=\"35466240\"] \n  13 -> 15 [size =\"35466240\"]\n  14 [size=\"40389120\", alpha=\"0.16\", expect_size=\"16155648\"] \n  15 [size=\"130805760\", alpha=\"0.20\", expect_size=\"52322304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109189120\", alpha=\"0.01\", expect_size=\"32756736\"] \n  1 -> 2 [size =\"32756736\"]\n  2 [size=\"163174400\", alpha=\"0.08\", expect_size=\"48952320\"] \n  2 -> 3 [size =\"48952320\"]\n  3 [size=\"58787840\", alpha=\"0.00\", expect_size=\"17636352\"] \n  3 -> 4 [size =\"17636352\"]\n  4 [size=\"110759253\", alpha=\"0.17\", expect_size=\"33227776\"] \n  4 -> 5 [size =\"33227776\"]\n  5 [size=\"36034560\", alpha=\"0.11\", expect_size=\"10810368\"] \n  5 -> 6 [size =\"10810368\"]\n  6 [size=\"121668267\", alpha=\"0.16\", expect_size=\"36500480\"] \n  6 -> 7 [size =\"36500480\"]\n  7 [size=\"136802987\", alpha=\"0.19\", expect_size=\"41040896\"] \n  7 -> 8 [size =\"41040896\"]\n  8 [size=\"129853440\", alpha=\"0.00\", expect_size=\"38956032\"] \n  8 -> 9 [size =\"38956032\"]\n  9 [size=\"41588053\", alpha=\"0.03\", expect_size=\"12476416\"] \n  9 -> 10 [size =\"12476416\"]\n  10 [size=\"147053227\", alpha=\"0.10\", expect_size=\"44115968\"] \n  10 -> 11 [size =\"44115968\"]\n  11 [size=\"27644587\", alpha=\"0.12\", expect_size=\"8293376\"] \n  11 -> 12 [size =\"8293376\"]\n  12 [size=\"37509120\", alpha=\"0.01\", expect_size=\"11252736\"] \n  12 -> 13 [size =\"11252736\"]\n  13 [size=\"96901120\", alpha=\"0.18\", expect_size=\"29070336\"] \n  13 -> 14 [size =\"29070336\"]\n  14 [size=\"100341760\", alpha=\"0.14\", expect_size=\"30102528\"] \n  14 -> 15 [size =\"30102528\"]\n  15 [size=\"80298667\", alpha=\"0.17\", expect_size=\"24089600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72644608\", alpha=\"0.09\", expect_size=\"36322304\"] \n  2 [size=\"22816768\", alpha=\"0.08\", expect_size=\"11408384\"] \n  2 -> 3 [size =\"11408384\"]\n  3 [size=\"11667456\", alpha=\"0.08\", expect_size=\"5833728\"] \n  3 -> 4 [size =\"5833728\"]\n  4 [size=\"36687872\", alpha=\"0.06\", expect_size=\"18343936\"] \n  4 -> 5 [size =\"18343936\"]\n  4 -> 6 [size =\"18343936\"]\n  5 [size=\"48078848\", alpha=\"0.05\", expect_size=\"24039424\"] \n  6 [size=\"29908992\", alpha=\"0.02\", expect_size=\"14954496\"] \n  6 -> 7 [size =\"14954496\"]\n  6 -> 8 [size =\"14954496\"]\n  7 [size=\"66369536\", alpha=\"0.15\", expect_size=\"33184768\"] \n  8 [size=\"47546368\", alpha=\"0.17\", expect_size=\"23773184\"] \n  8 -> 9 [size =\"23773184\"]\n  8 -> 10 [size =\"23773184\"]\n  9 [size=\"40171520\", alpha=\"0.09\", expect_size=\"20085760\"] \n  9 -> 11 [size =\"20085760\"]\n  10 [size=\"83716096\", alpha=\"0.18\", expect_size=\"41858048\"] \n  11 [size=\"76658688\", alpha=\"0.08\", expect_size=\"38329344\"] \n  11 -> 12 [size =\"38329344\"]\n  12 [size=\"22913024\", alpha=\"0.02\", expect_size=\"11456512\"] \n  12 -> 13 [size =\"11456512\"]\n  13 [size=\"59564032\", alpha=\"0.10\", expect_size=\"29782016\"] \n  13 -> 14 [size =\"29782016\"]\n  13 -> 15 [size =\"29782016\"]\n  14 [size=\"97421312\", alpha=\"0.05\", expect_size=\"48710656\"] \n  15 [size=\"30834688\", alpha=\"0.13\", expect_size=\"15417344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22829056\", alpha=\"0.12\", expect_size=\"11414528\"] \n  1 -> 2 [size =\"11414528\"]\n  1 -> 3 [size =\"11414528\"]\n  1 -> 4 [size =\"11414528\"]\n  2 [size=\"74539008\", alpha=\"0.05\", expect_size=\"37269504\"] \n  3 [size=\"79935488\", alpha=\"0.06\", expect_size=\"39967744\"] \n  3 -> 5 [size =\"39967744\"]\n  4 [size=\"93362176\", alpha=\"0.06\", expect_size=\"46681088\"] \n  4 -> 5 [size =\"46681088\"]\n  4 -> 6 [size =\"46681088\"]\n  4 -> 7 [size =\"46681088\"]\n  5 [size=\"67555328\", alpha=\"0.08\", expect_size=\"33777664\"] \n  6 [size=\"86790144\", alpha=\"0.14\", expect_size=\"43395072\"] \n  7 [size=\"26564608\", alpha=\"0.00\", expect_size=\"13282304\"] \n  7 -> 8 [size =\"13282304\"]\n  8 [size=\"37367808\", alpha=\"0.20\", expect_size=\"18683904\"] \n  8 -> 9 [size =\"18683904\"]\n  8 -> 10 [size =\"18683904\"]\n  8 -> 11 [size =\"18683904\"]\n  9 [size=\"39178240\", alpha=\"0.14\", expect_size=\"19589120\"] \n  9 -> 12 [size =\"19589120\"]\n  10 [size=\"45242368\", alpha=\"0.14\", expect_size=\"22621184\"] \n  11 [size=\"15605760\", alpha=\"0.16\", expect_size=\"7802880\"] \n  12 [size=\"71987200\", alpha=\"0.12\", expect_size=\"35993600\"] \n  12 -> 13 [size =\"35993600\"]\n  12 -> 14 [size =\"35993600\"]\n  12 -> 15 [size =\"35993600\"]\n  13 [size=\"94287872\", alpha=\"0.16\", expect_size=\"47143936\"] \n  14 [size=\"29282304\", alpha=\"0.14\", expect_size=\"14641152\"] \n  15 [size=\"56791040\", alpha=\"0.02\", expect_size=\"28395520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71407616\", alpha=\"0.20\", expect_size=\"35703808\"] \n  1 -> 2 [size =\"35703808\"]\n  2 [size=\"63326208\", alpha=\"0.04\", expect_size=\"31663104\"] \n  2 -> 3 [size =\"31663104\"]\n  3 [size=\"68927488\", alpha=\"0.02\", expect_size=\"34463744\"] \n  3 -> 4 [size =\"34463744\"]\n  4 [size=\"22839296\", alpha=\"0.14\", expect_size=\"11419648\"] \n  4 -> 5 [size =\"11419648\"]\n  5 [size=\"84402176\", alpha=\"0.00\", expect_size=\"42201088\"] \n  5 -> 6 [size =\"42201088\"]\n  6 [size=\"100728832\", alpha=\"0.06\", expect_size=\"50364416\"] \n  6 -> 7 [size =\"50364416\"]\n  7 [size=\"46784512\", alpha=\"0.15\", expect_size=\"23392256\"] \n  7 -> 8 [size =\"23392256\"]\n  8 [size=\"83451904\", alpha=\"0.11\", expect_size=\"41725952\"] \n  8 -> 9 [size =\"41725952\"]\n  9 [size=\"17745920\", alpha=\"0.16\", expect_size=\"8872960\"] \n  9 -> 10 [size =\"8872960\"]\n  10 [size=\"60870656\", alpha=\"0.05\", expect_size=\"30435328\"] \n  10 -> 11 [size =\"30435328\"]\n  11 [size=\"75522048\", alpha=\"0.07\", expect_size=\"37761024\"] \n  11 -> 12 [size =\"37761024\"]\n  12 [size=\"73441280\", alpha=\"0.02\", expect_size=\"36720640\"] \n  12 -> 13 [size =\"36720640\"]\n  13 [size=\"90771456\", alpha=\"0.14\", expect_size=\"45385728\"] \n  13 -> 14 [size =\"45385728\"]\n  14 [size=\"101756928\", alpha=\"0.15\", expect_size=\"50878464\"] \n  14 -> 15 [size =\"50878464\"]\n  15 [size=\"72947712\", alpha=\"0.08\", expect_size=\"36473856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66988032\", alpha=\"0.16\", expect_size=\"33494016\"] \n  1 -> 2 [size =\"33494016\"]\n  2 [size=\"70535168\", alpha=\"0.13\", expect_size=\"35267584\"] \n  2 -> 3 [size =\"35267584\"]\n  2 -> 4 [size =\"35267584\"]\n  3 [size=\"16138240\", alpha=\"0.10\", expect_size=\"8069120\"] \n  3 -> 5 [size =\"8069120\"]\n  3 -> 6 [size =\"8069120\"]\n  4 [size=\"99246080\", alpha=\"0.16\", expect_size=\"49623040\"] \n  4 -> 5 [size =\"49623040\"]\n  4 -> 6 [size =\"49623040\"]\n  5 [size=\"78512128\", alpha=\"0.17\", expect_size=\"39256064\"] \n  5 -> 7 [size =\"39256064\"]\n  5 -> 8 [size =\"39256064\"]\n  6 [size=\"65396736\", alpha=\"0.12\", expect_size=\"32698368\"] \n  6 -> 7 [size =\"32698368\"]\n  6 -> 8 [size =\"32698368\"]\n  7 [size=\"25993216\", alpha=\"0.12\", expect_size=\"12996608\"] \n  7 -> 9 [size =\"12996608\"]\n  7 -> 10 [size =\"12996608\"]\n  8 [size=\"74309632\", alpha=\"0.15\", expect_size=\"37154816\"] \n  8 -> 10 [size =\"37154816\"]\n  9 [size=\"30060544\", alpha=\"0.11\", expect_size=\"15030272\"] \n  9 -> 12 [size =\"15030272\"]\n  10 [size=\"13740032\", alpha=\"0.09\", expect_size=\"6870016\"] \n  10 -> 11 [size =\"6870016\"]\n  10 -> 12 [size =\"6870016\"]\n  11 [size=\"99708928\", alpha=\"0.14\", expect_size=\"49854464\"] \n  11 -> 13 [size =\"49854464\"]\n  11 -> 14 [size =\"49854464\"]\n  12 [size=\"78587904\", alpha=\"0.05\", expect_size=\"39293952\"] \n  12 -> 13 [size =\"39293952\"]\n  12 -> 14 [size =\"39293952\"]\n  13 [size=\"43950080\", alpha=\"0.14\", expect_size=\"21975040\"] \n  14 [size=\"91119616\", alpha=\"0.15\", expect_size=\"45559808\"] \n  14 -> 15 [size =\"45559808\"]\n  15 [size=\"74164224\", alpha=\"0.15\", expect_size=\"37082112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166031360\", alpha=\"0.02\", expect_size=\"49809408\"] \n  1 -> 2 [size =\"49809408\"]\n  1 -> 3 [size =\"49809408\"]\n  2 [size=\"93856427\", alpha=\"0.11\", expect_size=\"28156928\"] \n  2 -> 5 [size =\"28156928\"]\n  3 [size=\"70085973\", alpha=\"0.19\", expect_size=\"21025792\"] \n  3 -> 4 [size =\"21025792\"]\n  3 -> 5 [size =\"21025792\"]\n  4 [size=\"70632107\", alpha=\"0.12\", expect_size=\"21189632\"] \n  5 [size=\"104133973\", alpha=\"0.01\", expect_size=\"31240192\"] \n  5 -> 6 [size =\"31240192\"]\n  5 -> 7 [size =\"31240192\"]\n  6 [size=\"106591573\", alpha=\"0.15\", expect_size=\"31977472\"] \n  6 -> 8 [size =\"31977472\"]\n  7 [size=\"83701760\", alpha=\"0.14\", expect_size=\"25110528\"] \n  7 -> 8 [size =\"25110528\"]\n  8 [size=\"26746880\", alpha=\"0.18\", expect_size=\"8024064\"] \n  8 -> 9 [size =\"8024064\"]\n  9 [size=\"69273600\", alpha=\"0.08\", expect_size=\"20782080\"] \n  9 -> 10 [size =\"20782080\"]\n  10 [size=\"73011200\", alpha=\"0.13\", expect_size=\"21903360\"] \n  10 -> 11 [size =\"21903360\"]\n  11 [size=\"167697067\", alpha=\"0.16\", expect_size=\"50309120\"] \n  11 -> 12 [size =\"50309120\"]\n  12 [size=\"29040640\", alpha=\"0.02\", expect_size=\"8712192\"] \n  12 -> 13 [size =\"8712192\"]\n  13 [size=\"112554667\", alpha=\"0.10\", expect_size=\"33766400\"] \n  13 -> 14 [size =\"33766400\"]\n  14 [size=\"107537067\", alpha=\"0.19\", expect_size=\"32261120\"] \n  14 -> 15 [size =\"32261120\"]\n  15 [size=\"43803307\", alpha=\"0.08\", expect_size=\"13140992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85467136\", alpha=\"0.15\", expect_size=\"42733568\"] \n  1 -> 2 [size =\"42733568\"]\n  2 [size=\"12232704\", alpha=\"0.06\", expect_size=\"6116352\"] \n  2 -> 3 [size =\"6116352\"]\n  3 [size=\"90728448\", alpha=\"0.09\", expect_size=\"45364224\"] \n  3 -> 4 [size =\"45364224\"]\n  4 [size=\"67612672\", alpha=\"0.00\", expect_size=\"33806336\"] \n  4 -> 5 [size =\"33806336\"]\n  5 [size=\"56737792\", alpha=\"0.18\", expect_size=\"28368896\"] \n  5 -> 6 [size =\"28368896\"]\n  6 [size=\"57210880\", alpha=\"0.16\", expect_size=\"28605440\"] \n  6 -> 7 [size =\"28605440\"]\n  7 [size=\"104644608\", alpha=\"0.19\", expect_size=\"52322304\"] \n  7 -> 8 [size =\"52322304\"]\n  8 [size=\"102955008\", alpha=\"0.18\", expect_size=\"51477504\"] \n  8 -> 9 [size =\"51477504\"]\n  9 [size=\"79888384\", alpha=\"0.08\", expect_size=\"39944192\"] \n  9 -> 10 [size =\"39944192\"]\n  10 [size=\"18685952\", alpha=\"0.03\", expect_size=\"9342976\"] \n  10 -> 11 [size =\"9342976\"]\n  11 [size=\"36894720\", alpha=\"0.14\", expect_size=\"18447360\"] \n  11 -> 12 [size =\"18447360\"]\n  12 [size=\"14684160\", alpha=\"0.18\", expect_size=\"7342080\"] \n  12 -> 13 [size =\"7342080\"]\n  13 [size=\"40871936\", alpha=\"0.10\", expect_size=\"20435968\"] \n  13 -> 14 [size =\"20435968\"]\n  14 [size=\"82870272\", alpha=\"0.15\", expect_size=\"41435136\"] \n  14 -> 15 [size =\"41435136\"]\n  15 [size=\"85170176\", alpha=\"0.10\", expect_size=\"42585088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95840256\", alpha=\"0.11\", expect_size=\"47920128\"] \n  1 -> 2 [size =\"47920128\"]\n  2 [size=\"78512128\", alpha=\"0.12\", expect_size=\"39256064\"] \n  2 -> 3 [size =\"39256064\"]\n  3 [size=\"52647936\", alpha=\"0.17\", expect_size=\"26323968\"] \n  3 -> 4 [size =\"26323968\"]\n  4 [size=\"11530240\", alpha=\"0.19\", expect_size=\"5765120\"] \n  4 -> 5 [size =\"5765120\"]\n  5 [size=\"53827584\", alpha=\"0.18\", expect_size=\"26913792\"] \n  5 -> 6 [size =\"26913792\"]\n  6 [size=\"72370176\", alpha=\"0.14\", expect_size=\"36185088\"] \n  6 -> 7 [size =\"36185088\"]\n  7 [size=\"48246784\", alpha=\"0.14\", expect_size=\"24123392\"] \n  7 -> 8 [size =\"24123392\"]\n  8 [size=\"68397056\", alpha=\"0.06\", expect_size=\"34198528\"] \n  8 -> 9 [size =\"34198528\"]\n  9 [size=\"34101248\", alpha=\"0.11\", expect_size=\"17050624\"] \n  9 -> 10 [size =\"17050624\"]\n  10 [size=\"74502144\", alpha=\"0.06\", expect_size=\"37251072\"] \n  10 -> 11 [size =\"37251072\"]\n  11 [size=\"84359168\", alpha=\"0.10\", expect_size=\"42179584\"] \n  11 -> 12 [size =\"42179584\"]\n  12 [size=\"43104256\", alpha=\"0.15\", expect_size=\"21552128\"] \n  12 -> 13 [size =\"21552128\"]\n  13 [size=\"101308416\", alpha=\"0.11\", expect_size=\"50654208\"] \n  13 -> 14 [size =\"50654208\"]\n  14 [size=\"86362112\", alpha=\"0.00\", expect_size=\"43181056\"] \n  14 -> 15 [size =\"43181056\"]\n  15 [size=\"81764352\", alpha=\"0.14\", expect_size=\"40882176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54190080\", alpha=\"0.18\", expect_size=\"21676032\"] \n  1 -> 15 [size =\"21676032\"]\n  2 [size=\"90178560\", alpha=\"0.13\", expect_size=\"36071424\"] \n  2 -> 15 [size =\"36071424\"]\n  3 [size=\"42040320\", alpha=\"0.06\", expect_size=\"16816128\"] \n  4 [size=\"101455360\", alpha=\"0.07\", expect_size=\"40582144\"] \n  4 -> 15 [size =\"40582144\"]\n  5 [size=\"81984000\", alpha=\"0.11\", expect_size=\"32793600\"] \n  6 [size=\"82301440\", alpha=\"0.11\", expect_size=\"32920576\"] \n  6 -> 15 [size =\"32920576\"]\n  7 [size=\"43233280\", alpha=\"0.15\", expect_size=\"17293312\"] \n  8 [size=\"81080320\", alpha=\"0.08\", expect_size=\"32432128\"] \n  9 [size=\"114705920\", alpha=\"0.18\", expect_size=\"45882368\"] \n  9 -> 15 [size =\"45882368\"]\n  10 [size=\"131041280\", alpha=\"0.14\", expect_size=\"52416512\"] \n  11 [size=\"86361600\", alpha=\"0.02\", expect_size=\"34544640\"] \n  11 -> 15 [size =\"34544640\"]\n  12 [size=\"75110400\", alpha=\"0.02\", expect_size=\"30044160\"] \n  13 [size=\"35586560\", alpha=\"0.04\", expect_size=\"14234624\"] \n  13 -> 15 [size =\"14234624\"]\n  14 [size=\"69194240\", alpha=\"0.15\", expect_size=\"27677696\"] \n  15 [size=\"110284800\", alpha=\"0.12\", expect_size=\"44113920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79728640\", alpha=\"0.17\", expect_size=\"39864320\"] \n  1 -> 2 [size =\"39864320\"]\n  1 -> 3 [size =\"39864320\"]\n  1 -> 4 [size =\"39864320\"]\n  1 -> 5 [size =\"39864320\"]\n  2 [size=\"83658752\", alpha=\"0.01\", expect_size=\"41829376\"] \n  2 -> 6 [size =\"41829376\"]\n  2 -> 7 [size =\"41829376\"]\n  3 [size=\"43157504\", alpha=\"0.01\", expect_size=\"21578752\"] \n  3 -> 6 [size =\"21578752\"]\n  3 -> 7 [size =\"21578752\"]\n  4 [size=\"32815104\", alpha=\"0.12\", expect_size=\"16407552\"] \n  4 -> 7 [size =\"16407552\"]\n  5 [size=\"103593984\", alpha=\"0.08\", expect_size=\"51796992\"] \n  5 -> 6 [size =\"51796992\"]\n  5 -> 7 [size =\"51796992\"]\n  6 [size=\"72374272\", alpha=\"0.06\", expect_size=\"36187136\"] \n  6 -> 8 [size =\"36187136\"]\n  6 -> 9 [size =\"36187136\"]\n  6 -> 10 [size =\"36187136\"]\n  7 [size=\"97374208\", alpha=\"0.16\", expect_size=\"48687104\"] \n  7 -> 9 [size =\"48687104\"]\n  7 -> 10 [size =\"48687104\"]\n  8 [size=\"32339968\", alpha=\"0.13\", expect_size=\"16169984\"] \n  8 -> 12 [size =\"16169984\"]\n  8 -> 13 [size =\"16169984\"]\n  9 [size=\"20783104\", alpha=\"0.12\", expect_size=\"10391552\"] \n  9 -> 11 [size =\"10391552\"]\n  9 -> 12 [size =\"10391552\"]\n  10 [size=\"63606784\", alpha=\"0.07\", expect_size=\"31803392\"] \n  10 -> 13 [size =\"31803392\"]\n  11 [size=\"25438208\", alpha=\"0.12\", expect_size=\"12719104\"] \n  11 -> 14 [size =\"12719104\"]\n  12 [size=\"11968512\", alpha=\"0.08\", expect_size=\"5984256\"] \n  13 [size=\"18984960\", alpha=\"0.18\", expect_size=\"9492480\"] \n  13 -> 14 [size =\"9492480\"]\n  13 -> 15 [size =\"9492480\"]\n  14 [size=\"25540608\", alpha=\"0.16\", expect_size=\"12770304\"] \n  15 [size=\"83896320\", alpha=\"0.13\", expect_size=\"41948160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101443584\", alpha=\"0.09\", expect_size=\"50721792\"] \n  1 -> 4 [size =\"50721792\"]\n  1 -> 5 [size =\"50721792\"]\n  2 [size=\"53372928\", alpha=\"0.18\", expect_size=\"26686464\"] \n  3 [size=\"25632768\", alpha=\"0.11\", expect_size=\"12816384\"] \n  3 -> 4 [size =\"12816384\"]\n  4 [size=\"26513408\", alpha=\"0.13\", expect_size=\"13256704\"] \n  4 -> 6 [size =\"13256704\"]\n  4 -> 7 [size =\"13256704\"]\n  4 -> 8 [size =\"13256704\"]\n  5 [size=\"47265792\", alpha=\"0.01\", expect_size=\"23632896\"] \n  5 -> 8 [size =\"23632896\"]\n  6 [size=\"84477952\", alpha=\"0.12\", expect_size=\"42238976\"] \n  7 [size=\"48541696\", alpha=\"0.14\", expect_size=\"24270848\"] \n  7 -> 9 [size =\"24270848\"]\n  7 -> 10 [size =\"24270848\"]\n  8 [size=\"24637440\", alpha=\"0.06\", expect_size=\"12318720\"] \n  8 -> 11 [size =\"12318720\"]\n  9 [size=\"92884992\", alpha=\"0.11\", expect_size=\"46442496\"] \n  9 -> 12 [size =\"46442496\"]\n  9 -> 13 [size =\"46442496\"]\n  10 [size=\"51759104\", alpha=\"0.14\", expect_size=\"25879552\"] \n  10 -> 12 [size =\"25879552\"]\n  10 -> 13 [size =\"25879552\"]\n  11 [size=\"103008256\", alpha=\"0.01\", expect_size=\"51504128\"] \n  12 [size=\"53454848\", alpha=\"0.18\", expect_size=\"26727424\"] \n  12 -> 14 [size =\"26727424\"]\n  13 [size=\"44554240\", alpha=\"0.09\", expect_size=\"22277120\"] \n  13 -> 14 [size =\"22277120\"]\n  13 -> 15 [size =\"22277120\"]\n  14 [size=\"97519616\", alpha=\"0.15\", expect_size=\"48759808\"] \n  15 [size=\"65120256\", alpha=\"0.19\", expect_size=\"32560128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32721920\", alpha=\"0.00\", expect_size=\"13088768\"] \n  2 [size=\"128824320\", alpha=\"0.09\", expect_size=\"51529728\"] \n  2 -> 15 [size =\"51529728\"]\n  3 [size=\"81704960\", alpha=\"0.07\", expect_size=\"32681984\"] \n  4 [size=\"98560000\", alpha=\"0.13\", expect_size=\"39424000\"] \n  4 -> 15 [size =\"39424000\"]\n  5 [size=\"76633600\", alpha=\"0.13\", expect_size=\"30653440\"] \n  6 [size=\"34142720\", alpha=\"0.10\", expect_size=\"13657088\"] \n  7 [size=\"36349440\", alpha=\"0.19\", expect_size=\"14539776\"] \n  8 [size=\"49904640\", alpha=\"0.06\", expect_size=\"19961856\"] \n  9 [size=\"28518400\", alpha=\"0.19\", expect_size=\"11407360\"] \n  10 [size=\"59778560\", alpha=\"0.18\", expect_size=\"23911424\"] \n  11 [size=\"71818240\", alpha=\"0.15\", expect_size=\"28727296\"] \n  11 -> 15 [size =\"28727296\"]\n  12 [size=\"73177600\", alpha=\"0.18\", expect_size=\"29271040\"] \n  13 [size=\"124871680\", alpha=\"0.11\", expect_size=\"49948672\"] \n  14 [size=\"47644160\", alpha=\"0.20\", expect_size=\"19057664\"] \n  15 [size=\"125867520\", alpha=\"0.01\", expect_size=\"50347008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60866560\", alpha=\"0.14\", expect_size=\"24346624\"] \n  1 -> 3 [size =\"24346624\"]\n  1 -> 4 [size =\"24346624\"]\n  2 [size=\"106240000\", alpha=\"0.11\", expect_size=\"42496000\"] \n  3 [size=\"43944960\", alpha=\"0.01\", expect_size=\"17577984\"] \n  3 -> 5 [size =\"17577984\"]\n  4 [size=\"72481280\", alpha=\"0.14\", expect_size=\"28992512\"] \n  4 -> 6 [size =\"28992512\"]\n  5 [size=\"31616000\", alpha=\"0.17\", expect_size=\"12646400\"] \n  5 -> 9 [size =\"12646400\"]\n  6 [size=\"71447040\", alpha=\"0.01\", expect_size=\"28578816\"] \n  6 -> 7 [size =\"28578816\"]\n  6 -> 8 [size =\"28578816\"]\n  7 [size=\"50199040\", alpha=\"0.01\", expect_size=\"20079616\"] \n  7 -> 10 [size =\"20079616\"]\n  7 -> 12 [size =\"20079616\"]\n  8 [size=\"122096640\", alpha=\"0.11\", expect_size=\"48838656\"] \n  8 -> 11 [size =\"48838656\"]\n  9 [size=\"51834880\", alpha=\"0.19\", expect_size=\"20733952\"] \n  10 [size=\"84136960\", alpha=\"0.17\", expect_size=\"33654784\"] \n  10 -> 13 [size =\"33654784\"]\n  10 -> 15 [size =\"33654784\"]\n  11 [size=\"75338240\", alpha=\"0.18\", expect_size=\"30135296\"] \n  11 -> 13 [size =\"30135296\"]\n  11 -> 15 [size =\"30135296\"]\n  12 [size=\"39482880\", alpha=\"0.05\", expect_size=\"15793152\"] \n  12 -> 14 [size =\"15793152\"]\n  13 [size=\"104673280\", alpha=\"0.10\", expect_size=\"41869312\"] \n  14 [size=\"107886080\", alpha=\"0.11\", expect_size=\"43154432\"] \n  15 [size=\"74096640\", alpha=\"0.07\", expect_size=\"29638656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97101824\", alpha=\"0.15\", expect_size=\"48550912\"] \n  1 -> 2 [size =\"48550912\"]\n  2 [size=\"61212672\", alpha=\"0.20\", expect_size=\"30606336\"] \n  2 -> 3 [size =\"30606336\"]\n  3 [size=\"19533824\", alpha=\"0.06\", expect_size=\"9766912\"] \n  3 -> 4 [size =\"9766912\"]\n  4 [size=\"82661376\", alpha=\"0.19\", expect_size=\"41330688\"] \n  4 -> 5 [size =\"41330688\"]\n  5 [size=\"86355968\", alpha=\"0.03\", expect_size=\"43177984\"] \n  5 -> 6 [size =\"43177984\"]\n  6 [size=\"14893056\", alpha=\"0.08\", expect_size=\"7446528\"] \n  6 -> 7 [size =\"7446528\"]\n  7 [size=\"97540096\", alpha=\"0.13\", expect_size=\"48770048\"] \n  7 -> 8 [size =\"48770048\"]\n  8 [size=\"84604928\", alpha=\"0.05\", expect_size=\"42302464\"] \n  8 -> 9 [size =\"42302464\"]\n  9 [size=\"18731008\", alpha=\"0.13\", expect_size=\"9365504\"] \n  9 -> 10 [size =\"9365504\"]\n  10 [size=\"100864000\", alpha=\"0.00\", expect_size=\"50432000\"] \n  10 -> 11 [size =\"50432000\"]\n  11 [size=\"101148672\", alpha=\"0.08\", expect_size=\"50574336\"] \n  11 -> 12 [size =\"50574336\"]\n  12 [size=\"75970560\", alpha=\"0.01\", expect_size=\"37985280\"] \n  12 -> 13 [size =\"37985280\"]\n  13 [size=\"74457088\", alpha=\"0.06\", expect_size=\"37228544\"] \n  13 -> 14 [size =\"37228544\"]\n  14 [size=\"102158336\", alpha=\"0.10\", expect_size=\"51079168\"] \n  14 -> 15 [size =\"51079168\"]\n  15 [size=\"98988032\", alpha=\"0.16\", expect_size=\"49494016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111370240\", alpha=\"0.15\", expect_size=\"44548096\"] \n  1 -> 2 [size =\"44548096\"]\n  2 [size=\"62522880\", alpha=\"0.12\", expect_size=\"25009152\"] \n  2 -> 3 [size =\"25009152\"]\n  3 [size=\"95452160\", alpha=\"0.01\", expect_size=\"38180864\"] \n  3 -> 4 [size =\"38180864\"]\n  4 [size=\"97587200\", alpha=\"0.08\", expect_size=\"39034880\"] \n  4 -> 5 [size =\"39034880\"]\n  5 [size=\"34956800\", alpha=\"0.15\", expect_size=\"13982720\"] \n  5 -> 6 [size =\"13982720\"]\n  6 [size=\"44567040\", alpha=\"0.07\", expect_size=\"17826816\"] \n  6 -> 7 [size =\"17826816\"]\n  7 [size=\"41991680\", alpha=\"0.09\", expect_size=\"16796672\"] \n  7 -> 8 [size =\"16796672\"]\n  8 [size=\"18531840\", alpha=\"0.13\", expect_size=\"7412736\"] \n  8 -> 9 [size =\"7412736\"]\n  9 [size=\"125747200\", alpha=\"0.11\", expect_size=\"50298880\"] \n  9 -> 10 [size =\"50298880\"]\n  10 [size=\"89088000\", alpha=\"0.11\", expect_size=\"35635200\"] \n  10 -> 11 [size =\"35635200\"]\n  11 [size=\"86791680\", alpha=\"0.05\", expect_size=\"34716672\"] \n  11 -> 12 [size =\"34716672\"]\n  12 [size=\"57896960\", alpha=\"0.15\", expect_size=\"23158784\"] \n  12 -> 13 [size =\"23158784\"]\n  13 [size=\"13173760\", alpha=\"0.18\", expect_size=\"5269504\"] \n  13 -> 14 [size =\"5269504\"]\n  14 [size=\"16327680\", alpha=\"0.11\", expect_size=\"6531072\"] \n  14 -> 15 [size =\"6531072\"]\n  15 [size=\"60615680\", alpha=\"0.01\", expect_size=\"24246272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64290816\", alpha=\"0.11\", expect_size=\"32145408\"] \n  1 -> 5 [size =\"32145408\"]\n  2 [size=\"85637120\", alpha=\"0.00\", expect_size=\"42818560\"] \n  2 -> 3 [size =\"42818560\"]\n  2 -> 4 [size =\"42818560\"]\n  3 [size=\"73492480\", alpha=\"0.19\", expect_size=\"36746240\"] \n  3 -> 7 [size =\"36746240\"]\n  4 [size=\"82108416\", alpha=\"0.16\", expect_size=\"41054208\"] \n  4 -> 6 [size =\"41054208\"]\n  5 [size=\"87259136\", alpha=\"0.16\", expect_size=\"43629568\"] \n  5 -> 6 [size =\"43629568\"]\n  5 -> 7 [size =\"43629568\"]\n  6 [size=\"40353792\", alpha=\"0.06\", expect_size=\"20176896\"] \n  7 [size=\"75366400\", alpha=\"0.06\", expect_size=\"37683200\"] \n  7 -> 8 [size =\"37683200\"]\n  7 -> 9 [size =\"37683200\"]\n  7 -> 10 [size =\"37683200\"]\n  8 [size=\"66260992\", alpha=\"0.18\", expect_size=\"33130496\"] \n  8 -> 11 [size =\"33130496\"]\n  8 -> 12 [size =\"33130496\"]\n  8 -> 13 [size =\"33130496\"]\n  9 [size=\"12060672\", alpha=\"0.16\", expect_size=\"6030336\"] \n  9 -> 12 [size =\"6030336\"]\n  10 [size=\"20293632\", alpha=\"0.16\", expect_size=\"10146816\"] \n  11 [size=\"43638784\", alpha=\"0.12\", expect_size=\"21819392\"] \n  12 [size=\"93224960\", alpha=\"0.11\", expect_size=\"46612480\"] \n  12 -> 14 [size =\"46612480\"]\n  12 -> 15 [size =\"46612480\"]\n  13 [size=\"95092736\", alpha=\"0.02\", expect_size=\"47546368\"] \n  13 -> 14 [size =\"47546368\"]\n  14 [size=\"92438528\", alpha=\"0.14\", expect_size=\"46219264\"] \n  15 [size=\"72939520\", alpha=\"0.00\", expect_size=\"36469760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15/random.15.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:27 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74618880\", alpha=\"0.16\", expect_size=\"37309440\"] \n  1 -> 2 [size =\"37309440\"]\n  2 [size=\"29511680\", alpha=\"0.18\", expect_size=\"14755840\"] \n  2 -> 3 [size =\"14755840\"]\n  3 [size=\"50769920\", alpha=\"0.10\", expect_size=\"25384960\"] \n  3 -> 4 [size =\"25384960\"]\n  4 [size=\"24528896\", alpha=\"0.15\", expect_size=\"12264448\"] \n  4 -> 5 [size =\"12264448\"]\n  5 [size=\"103370752\", alpha=\"0.11\", expect_size=\"51685376\"] \n  5 -> 6 [size =\"51685376\"]\n  6 [size=\"81350656\", alpha=\"0.15\", expect_size=\"40675328\"] \n  6 -> 7 [size =\"40675328\"]\n  7 [size=\"99495936\", alpha=\"0.02\", expect_size=\"49747968\"] \n  7 -> 8 [size =\"49747968\"]\n  8 [size=\"22915072\", alpha=\"0.00\", expect_size=\"11457536\"] \n  8 -> 9 [size =\"11457536\"]\n  9 [size=\"35713024\", alpha=\"0.19\", expect_size=\"17856512\"] \n  9 -> 10 [size =\"17856512\"]\n  10 [size=\"68026368\", alpha=\"0.03\", expect_size=\"34013184\"] \n  10 -> 11 [size =\"34013184\"]\n  11 [size=\"63633408\", alpha=\"0.02\", expect_size=\"31816704\"] \n  11 -> 12 [size =\"31816704\"]\n  12 [size=\"46616576\", alpha=\"0.14\", expect_size=\"23308288\"] \n  12 -> 13 [size =\"23308288\"]\n  13 [size=\"38987776\", alpha=\"0.04\", expect_size=\"19493888\"] \n  13 -> 14 [size =\"19493888\"]\n  14 [size=\"88199168\", alpha=\"0.16\", expect_size=\"44099584\"] \n  14 -> 15 [size =\"44099584\"]\n  15 [size=\"62386176\", alpha=\"0.13\", expect_size=\"31193088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127086080\", alpha=\"0.09\", expect_size=\"50834432\"] \n  1 -> 2 [size =\"50834432\"]\n  2 [size=\"67161600\", alpha=\"0.04\", expect_size=\"26864640\"] \n  2 -> 3 [size =\"26864640\"]\n  3 [size=\"120622080\", alpha=\"0.13\", expect_size=\"48248832\"] \n  3 -> 4 [size =\"48248832\"]\n  4 [size=\"36953600\", alpha=\"0.08\", expect_size=\"14781440\"] \n  4 -> 5 [size =\"14781440\"]\n  5 [size=\"120189440\", alpha=\"0.18\", expect_size=\"48075776\"] \n  5 -> 6 [size =\"48075776\"]\n  6 [size=\"130129920\", alpha=\"0.10\", expect_size=\"52051968\"] \n  6 -> 7 [size =\"52051968\"]\n  7 [size=\"121958400\", alpha=\"0.17\", expect_size=\"48783360\"] \n  7 -> 8 [size =\"48783360\"]\n  8 [size=\"63175680\", alpha=\"0.16\", expect_size=\"25270272\"] \n  8 -> 9 [size =\"25270272\"]\n  9 [size=\"71449600\", alpha=\"0.16\", expect_size=\"28579840\"] \n  9 -> 10 [size =\"28579840\"]\n  10 [size=\"75781120\", alpha=\"0.08\", expect_size=\"30312448\"] \n  10 -> 11 [size =\"30312448\"]\n  11 [size=\"74449920\", alpha=\"0.08\", expect_size=\"29779968\"] \n  11 -> 12 [size =\"29779968\"]\n  12 [size=\"125813760\", alpha=\"0.06\", expect_size=\"50325504\"] \n  12 -> 13 [size =\"50325504\"]\n  13 [size=\"32066560\", alpha=\"0.06\", expect_size=\"12826624\"] \n  13 -> 14 [size =\"12826624\"]\n  14 [size=\"107194880\", alpha=\"0.09\", expect_size=\"42877952\"] \n  14 -> 15 [size =\"42877952\"]\n  15 [size=\"36976640\", alpha=\"0.16\", expect_size=\"14790656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44144640\", alpha=\"0.19\", expect_size=\"17657856\"] \n  2 [size=\"80506880\", alpha=\"0.04\", expect_size=\"32202752\"] \n  2 -> 8 [size =\"32202752\"]\n  2 -> 9 [size =\"32202752\"]\n  2 -> 11 [size =\"32202752\"]\n  3 [size=\"42155520\", alpha=\"0.07\", expect_size=\"16862208\"] \n  3 -> 10 [size =\"16862208\"]\n  4 [size=\"31165440\", alpha=\"0.19\", expect_size=\"12466176\"] \n  4 -> 7 [size =\"12466176\"]\n  4 -> 9 [size =\"12466176\"]\n  4 -> 10 [size =\"12466176\"]\n  5 [size=\"117355520\", alpha=\"0.09\", expect_size=\"46942208\"] \n  5 -> 8 [size =\"46942208\"]\n  5 -> 11 [size =\"46942208\"]\n  6 [size=\"53511680\", alpha=\"0.17\", expect_size=\"21404672\"] \n  6 -> 9 [size =\"21404672\"]\n  7 [size=\"74119680\", alpha=\"0.08\", expect_size=\"29647872\"] \n  7 -> 13 [size =\"29647872\"]\n  7 -> 14 [size =\"29647872\"]\n  8 [size=\"31749120\", alpha=\"0.06\", expect_size=\"12699648\"] \n  8 -> 15 [size =\"12699648\"]\n  9 [size=\"106846720\", alpha=\"0.00\", expect_size=\"42738688\"] \n  9 -> 13 [size =\"42738688\"]\n  9 -> 14 [size =\"42738688\"]\n  10 [size=\"38937600\", alpha=\"0.09\", expect_size=\"15575040\"] \n  10 -> 13 [size =\"15575040\"]\n  11 [size=\"102028800\", alpha=\"0.13\", expect_size=\"40811520\"] \n  11 -> 12 [size =\"40811520\"]\n  11 -> 13 [size =\"40811520\"]\n  11 -> 14 [size =\"40811520\"]\n  11 -> 15 [size =\"40811520\"]\n  12 [size=\"95178240\", alpha=\"0.05\", expect_size=\"38071296\"] \n  13 [size=\"116357120\", alpha=\"0.15\", expect_size=\"46542848\"] \n  14 [size=\"40709120\", alpha=\"0.08\", expect_size=\"16283648\"] \n  15 [size=\"37155840\", alpha=\"0.16\", expect_size=\"14862336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22384640\", alpha=\"0.08\", expect_size=\"6715392\"] \n  1 -> 7 [size =\"6715392\"]\n  1 -> 8 [size =\"6715392\"]\n  1 -> 11 [size =\"6715392\"]\n  1 -> 12 [size =\"6715392\"]\n  2 [size=\"29614080\", alpha=\"0.04\", expect_size=\"8884224\"] \n  2 -> 8 [size =\"8884224\"]\n  2 -> 9 [size =\"8884224\"]\n  3 [size=\"140055893\", alpha=\"0.16\", expect_size=\"42016768\"] \n  3 -> 7 [size =\"42016768\"]\n  3 -> 9 [size =\"42016768\"]\n  3 -> 10 [size =\"42016768\"]\n  3 -> 11 [size =\"42016768\"]\n  4 [size=\"78434987\", alpha=\"0.17\", expect_size=\"23530496\"] \n  4 -> 7 [size =\"23530496\"]\n  4 -> 9 [size =\"23530496\"]\n  4 -> 11 [size =\"23530496\"]\n  5 [size=\"122927787\", alpha=\"0.15\", expect_size=\"36878336\"] \n  5 -> 10 [size =\"36878336\"]\n  5 -> 11 [size =\"36878336\"]\n  6 [size=\"70519467\", alpha=\"0.03\", expect_size=\"21155840\"] \n  6 -> 8 [size =\"21155840\"]\n  6 -> 9 [size =\"21155840\"]\n  7 [size=\"98334720\", alpha=\"0.02\", expect_size=\"29500416\"] \n  8 [size=\"67170987\", alpha=\"0.02\", expect_size=\"20151296\"] \n  8 -> 13 [size =\"20151296\"]\n  8 -> 14 [size =\"20151296\"]\n  9 [size=\"71567360\", alpha=\"0.04\", expect_size=\"21470208\"] \n  9 -> 13 [size =\"21470208\"]\n  10 [size=\"71488853\", alpha=\"0.01\", expect_size=\"21446656\"] \n  10 -> 13 [size =\"21446656\"]\n  10 -> 14 [size =\"21446656\"]\n  11 [size=\"69703680\", alpha=\"0.12\", expect_size=\"20911104\"] \n  11 -> 13 [size =\"20911104\"]\n  11 -> 14 [size =\"20911104\"]\n  12 [size=\"136407040\", alpha=\"0.20\", expect_size=\"40922112\"] \n  12 -> 14 [size =\"40922112\"]\n  12 -> 15 [size =\"40922112\"]\n  13 [size=\"165833387\", alpha=\"0.03\", expect_size=\"49750016\"] \n  14 [size=\"131737600\", alpha=\"0.16\", expect_size=\"39521280\"] \n  15 [size=\"105171627\", alpha=\"0.09\", expect_size=\"31551488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33901227\", alpha=\"0.15\", expect_size=\"10170368\"] \n  1 -> 2 [size =\"10170368\"]\n  2 [size=\"66461013\", alpha=\"0.00\", expect_size=\"19938304\"] \n  2 -> 3 [size =\"19938304\"]\n  3 [size=\"58129067\", alpha=\"0.09\", expect_size=\"17438720\"] \n  3 -> 4 [size =\"17438720\"]\n  4 [size=\"144633173\", alpha=\"0.19\", expect_size=\"43389952\"] \n  4 -> 5 [size =\"43389952\"]\n  5 [size=\"145681067\", alpha=\"0.04\", expect_size=\"43704320\"] \n  5 -> 6 [size =\"43704320\"]\n  6 [size=\"23128747\", alpha=\"0.08\", expect_size=\"6938624\"] \n  6 -> 7 [size =\"6938624\"]\n  6 -> 8 [size =\"6938624\"]\n  7 [size=\"144786773\", alpha=\"0.14\", expect_size=\"43436032\"] \n  8 [size=\"174090240\", alpha=\"0.18\", expect_size=\"52227072\"] \n  8 -> 9 [size =\"52227072\"]\n  8 -> 10 [size =\"52227072\"]\n  9 [size=\"79312213\", alpha=\"0.14\", expect_size=\"23793664\"] \n  10 [size=\"78243840\", alpha=\"0.13\", expect_size=\"23473152\"] \n  10 -> 11 [size =\"23473152\"]\n  10 -> 12 [size =\"23473152\"]\n  11 [size=\"109045760\", alpha=\"0.16\", expect_size=\"32713728\"] \n  11 -> 13 [size =\"32713728\"]\n  11 -> 14 [size =\"32713728\"]\n  12 [size=\"66863787\", alpha=\"0.18\", expect_size=\"20059136\"] \n  12 -> 13 [size =\"20059136\"]\n  12 -> 14 [size =\"20059136\"]\n  13 [size=\"69317973\", alpha=\"0.12\", expect_size=\"20795392\"] \n  13 -> 15 [size =\"20795392\"]\n  14 [size=\"140257280\", alpha=\"0.15\", expect_size=\"42077184\"] \n  14 -> 15 [size =\"42077184\"]\n  15 [size=\"135823360\", alpha=\"0.20\", expect_size=\"40747008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51507200\", alpha=\"0.20\", expect_size=\"15452160\"] \n  1 -> 3 [size =\"15452160\"]\n  2 [size=\"70584320\", alpha=\"0.10\", expect_size=\"21175296\"] \n  3 [size=\"156214613\", alpha=\"0.12\", expect_size=\"46864384\"] \n  3 -> 4 [size =\"46864384\"]\n  4 [size=\"61395627\", alpha=\"0.05\", expect_size=\"18418688\"] \n  4 -> 5 [size =\"18418688\"]\n  5 [size=\"77813760\", alpha=\"0.05\", expect_size=\"23344128\"] \n  5 -> 6 [size =\"23344128\"]\n  5 -> 7 [size =\"23344128\"]\n  6 [size=\"125788160\", alpha=\"0.03\", expect_size=\"37736448\"] \n  6 -> 8 [size =\"37736448\"]\n  7 [size=\"108267520\", alpha=\"0.16\", expect_size=\"32480256\"] \n  7 -> 8 [size =\"32480256\"]\n  8 [size=\"39365973\", alpha=\"0.00\", expect_size=\"11809792\"] \n  8 -> 9 [size =\"11809792\"]\n  8 -> 10 [size =\"11809792\"]\n  9 [size=\"88497493\", alpha=\"0.06\", expect_size=\"26549248\"] \n  9 -> 11 [size =\"26549248\"]\n  9 -> 12 [size =\"26549248\"]\n  10 [size=\"170632533\", alpha=\"0.15\", expect_size=\"51189760\"] \n  10 -> 12 [size =\"51189760\"]\n  11 [size=\"110749013\", alpha=\"0.13\", expect_size=\"33224704\"] \n  11 -> 13 [size =\"33224704\"]\n  12 [size=\"109871787\", alpha=\"0.09\", expect_size=\"32961536\"] \n  12 -> 13 [size =\"32961536\"]\n  13 [size=\"32952320\", alpha=\"0.15\", expect_size=\"9885696\"] \n  13 -> 14 [size =\"9885696\"]\n  13 -> 15 [size =\"9885696\"]\n  14 [size=\"129324373\", alpha=\"0.04\", expect_size=\"38797312\"] \n  15 [size=\"166171307\", alpha=\"0.15\", expect_size=\"49851392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85792768\", alpha=\"0.13\", expect_size=\"42896384\"] \n  2 [size=\"80429056\", alpha=\"0.03\", expect_size=\"40214528\"] \n  2 -> 12 [size =\"40214528\"]\n  3 [size=\"11483136\", alpha=\"0.15\", expect_size=\"5741568\"] \n  4 [size=\"80633856\", alpha=\"0.09\", expect_size=\"40316928\"] \n  4 -> 14 [size =\"40316928\"]\n  5 [size=\"35704832\", alpha=\"0.05\", expect_size=\"17852416\"] \n  5 -> 15 [size =\"17852416\"]\n  6 [size=\"86231040\", alpha=\"0.02\", expect_size=\"43115520\"] \n  6 -> 12 [size =\"43115520\"]\n  6 -> 15 [size =\"43115520\"]\n  7 [size=\"65441792\", alpha=\"0.05\", expect_size=\"32720896\"] \n  7 -> 15 [size =\"32720896\"]\n  8 [size=\"84183040\", alpha=\"0.13\", expect_size=\"42091520\"] \n  8 -> 13 [size =\"42091520\"]\n  8 -> 15 [size =\"42091520\"]\n  9 [size=\"90957824\", alpha=\"0.15\", expect_size=\"45478912\"] \n  9 -> 12 [size =\"45478912\"]\n  10 [size=\"61286400\", alpha=\"0.10\", expect_size=\"30643200\"] \n  11 [size=\"92786688\", alpha=\"0.19\", expect_size=\"46393344\"] \n  12 [size=\"57683968\", alpha=\"0.04\", expect_size=\"28841984\"] \n  13 [size=\"73449472\", alpha=\"0.09\", expect_size=\"36724736\"] \n  14 [size=\"47654912\", alpha=\"0.15\", expect_size=\"23827456\"] \n  15 [size=\"88330240\", alpha=\"0.04\", expect_size=\"44165120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82384213\", alpha=\"0.00\", expect_size=\"24715264\"] \n  2 [size=\"48001707\", alpha=\"0.15\", expect_size=\"14400512\"] \n  3 [size=\"117370880\", alpha=\"0.15\", expect_size=\"35211264\"] \n  4 [size=\"30583467\", alpha=\"0.11\", expect_size=\"9175040\"] \n  4 -> 13 [size =\"9175040\"]\n  5 [size=\"138560853\", alpha=\"0.12\", expect_size=\"41568256\"] \n  5 -> 13 [size =\"41568256\"]\n  6 [size=\"151848960\", alpha=\"0.19\", expect_size=\"45554688\"] \n  7 [size=\"136168107\", alpha=\"0.04\", expect_size=\"40850432\"] \n  7 -> 13 [size =\"40850432\"]\n  8 [size=\"26272427\", alpha=\"0.02\", expect_size=\"7881728\"] \n  8 -> 13 [size =\"7881728\"]\n  9 [size=\"145059840\", alpha=\"0.19\", expect_size=\"43517952\"] \n  10 [size=\"129481387\", alpha=\"0.19\", expect_size=\"38844416\"] \n  10 -> 14 [size =\"38844416\"]\n  10 -> 15 [size =\"38844416\"]\n  11 [size=\"155968853\", alpha=\"0.11\", expect_size=\"46790656\"] \n  11 -> 13 [size =\"46790656\"]\n  11 -> 15 [size =\"46790656\"]\n  12 [size=\"156924587\", alpha=\"0.10\", expect_size=\"47077376\"] \n  12 -> 15 [size =\"47077376\"]\n  13 [size=\"120565760\", alpha=\"0.20\", expect_size=\"36169728\"] \n  14 [size=\"82722133\", alpha=\"0.02\", expect_size=\"24816640\"] \n  15 [size=\"169355947\", alpha=\"0.19\", expect_size=\"50806784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32311296\", alpha=\"0.13\", expect_size=\"16155648\"] \n  1 -> 7 [size =\"16155648\"]\n  1 -> 11 [size =\"16155648\"]\n  2 [size=\"28049408\", alpha=\"0.15\", expect_size=\"14024704\"] \n  3 [size=\"22239232\", alpha=\"0.18\", expect_size=\"11119616\"] \n  3 -> 8 [size =\"11119616\"]\n  3 -> 9 [size =\"11119616\"]\n  3 -> 10 [size =\"11119616\"]\n  3 -> 11 [size =\"11119616\"]\n  4 [size=\"48130048\", alpha=\"0.05\", expect_size=\"24065024\"] \n  4 -> 6 [size =\"24065024\"]\n  4 -> 8 [size =\"24065024\"]\n  4 -> 11 [size =\"24065024\"]\n  4 -> 11 [size =\"24065024\"]\n  5 [size=\"82655232\", alpha=\"0.07\", expect_size=\"41327616\"] \n  5 -> 6 [size =\"41327616\"]\n  5 -> 7 [size =\"41327616\"]\n  5 -> 8 [size =\"41327616\"]\n  6 [size=\"82907136\", alpha=\"0.08\", expect_size=\"41453568\"] \n  6 -> 13 [size =\"41453568\"]\n  6 -> 14 [size =\"41453568\"]\n  6 -> 15 [size =\"41453568\"]\n  7 [size=\"15613952\", alpha=\"0.06\", expect_size=\"7806976\"] \n  7 -> 14 [size =\"7806976\"]\n  7 -> 15 [size =\"7806976\"]\n  8 [size=\"20840448\", alpha=\"0.14\", expect_size=\"10420224\"] \n  9 [size=\"38461440\", alpha=\"0.06\", expect_size=\"19230720\"] \n  9 -> 14 [size =\"19230720\"]\n  10 [size=\"10553344\", alpha=\"0.06\", expect_size=\"5276672\"] \n  10 -> 12 [size =\"5276672\"]\n  10 -> 15 [size =\"5276672\"]\n  11 [size=\"59086848\", alpha=\"0.14\", expect_size=\"29543424\"] \n  11 -> 13 [size =\"29543424\"]\n  11 -> 14 [size =\"29543424\"]\n  11 -> 15 [size =\"29543424\"]\n  12 [size=\"24299520\", alpha=\"0.01\", expect_size=\"12149760\"] \n  13 [size=\"94228480\", alpha=\"0.16\", expect_size=\"47114240\"] \n  14 [size=\"84899840\", alpha=\"0.09\", expect_size=\"42449920\"] \n  15 [size=\"13744128\", alpha=\"0.19\", expect_size=\"6872064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45861547\", alpha=\"0.18\", expect_size=\"13758464\"] \n  1 -> 2 [size =\"13758464\"]\n  2 [size=\"119674880\", alpha=\"0.01\", expect_size=\"35902464\"] \n  2 -> 3 [size =\"35902464\"]\n  3 [size=\"42332160\", alpha=\"0.10\", expect_size=\"12699648\"] \n  3 -> 4 [size =\"12699648\"]\n  4 [size=\"27429547\", alpha=\"0.03\", expect_size=\"8228864\"] \n  4 -> 5 [size =\"8228864\"]\n  5 [size=\"45895680\", alpha=\"0.09\", expect_size=\"13768704\"] \n  5 -> 6 [size =\"13768704\"]\n  6 [size=\"131444053\", alpha=\"0.05\", expect_size=\"39433216\"] \n  6 -> 7 [size =\"39433216\"]\n  7 [size=\"71328427\", alpha=\"0.20\", expect_size=\"21398528\"] \n  7 -> 8 [size =\"21398528\"]\n  8 [size=\"82466133\", alpha=\"0.09\", expect_size=\"24739840\"] \n  8 -> 9 [size =\"24739840\"]\n  9 [size=\"58757120\", alpha=\"0.04\", expect_size=\"17627136\"] \n  9 -> 10 [size =\"17627136\"]\n  10 [size=\"172250453\", alpha=\"0.09\", expect_size=\"51675136\"] \n  10 -> 11 [size =\"51675136\"]\n  11 [size=\"129006933\", alpha=\"0.06\", expect_size=\"38702080\"] \n  11 -> 12 [size =\"38702080\"]\n  12 [size=\"112967680\", alpha=\"0.17\", expect_size=\"33890304\"] \n  12 -> 13 [size =\"33890304\"]\n  13 [size=\"117384533\", alpha=\"0.17\", expect_size=\"35215360\"] \n  13 -> 14 [size =\"35215360\"]\n  14 [size=\"42089813\", alpha=\"0.17\", expect_size=\"12626944\"] \n  14 -> 15 [size =\"12626944\"]\n  15 [size=\"62115840\", alpha=\"0.14\", expect_size=\"18634752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19140608\", alpha=\"0.18\", expect_size=\"9570304\"] \n  1 -> 2 [size =\"9570304\"]\n  2 [size=\"60196864\", alpha=\"0.13\", expect_size=\"30098432\"] \n  2 -> 3 [size =\"30098432\"]\n  3 [size=\"34582528\", alpha=\"0.15\", expect_size=\"17291264\"] \n  3 -> 4 [size =\"17291264\"]\n  4 [size=\"58542080\", alpha=\"0.11\", expect_size=\"29271040\"] \n  4 -> 5 [size =\"29271040\"]\n  5 [size=\"15761408\", alpha=\"0.01\", expect_size=\"7880704\"] \n  5 -> 6 [size =\"7880704\"]\n  6 [size=\"51798016\", alpha=\"0.14\", expect_size=\"25899008\"] \n  6 -> 7 [size =\"25899008\"]\n  7 [size=\"25307136\", alpha=\"0.16\", expect_size=\"12653568\"] \n  7 -> 8 [size =\"12653568\"]\n  8 [size=\"73238528\", alpha=\"0.16\", expect_size=\"36619264\"] \n  8 -> 9 [size =\"36619264\"]\n  9 [size=\"21778432\", alpha=\"0.12\", expect_size=\"10889216\"] \n  9 -> 10 [size =\"10889216\"]\n  10 [size=\"25432064\", alpha=\"0.09\", expect_size=\"12716032\"] \n  10 -> 11 [size =\"12716032\"]\n  11 [size=\"91521024\", alpha=\"0.03\", expect_size=\"45760512\"] \n  11 -> 12 [size =\"45760512\"]\n  12 [size=\"83679232\", alpha=\"0.10\", expect_size=\"41839616\"] \n  12 -> 13 [size =\"41839616\"]\n  13 [size=\"51705856\", alpha=\"0.18\", expect_size=\"25852928\"] \n  13 -> 14 [size =\"25852928\"]\n  14 [size=\"28071936\", alpha=\"0.07\", expect_size=\"14035968\"] \n  14 -> 15 [size =\"14035968\"]\n  15 [size=\"78092288\", alpha=\"0.07\", expect_size=\"39046144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113111040\", alpha=\"0.01\", expect_size=\"45244416\"] \n  2 [size=\"87109120\", alpha=\"0.17\", expect_size=\"34843648\"] \n  2 -> 4 [size =\"34843648\"]\n  2 -> 5 [size =\"34843648\"]\n  3 [size=\"107550720\", alpha=\"0.04\", expect_size=\"43020288\"] \n  3 -> 4 [size =\"43020288\"]\n  3 -> 5 [size =\"43020288\"]\n  4 [size=\"14917120\", alpha=\"0.19\", expect_size=\"5966848\"] \n  4 -> 6 [size =\"5966848\"]\n  4 -> 7 [size =\"5966848\"]\n  4 -> 8 [size =\"5966848\"]\n  5 [size=\"121459200\", alpha=\"0.16\", expect_size=\"48583680\"] \n  5 -> 6 [size =\"48583680\"]\n  5 -> 7 [size =\"48583680\"]\n  5 -> 8 [size =\"48583680\"]\n  6 [size=\"115763200\", alpha=\"0.10\", expect_size=\"46305280\"] \n  7 [size=\"69278720\", alpha=\"0.19\", expect_size=\"27711488\"] \n  7 -> 9 [size =\"27711488\"]\n  7 -> 11 [size =\"27711488\"]\n  8 [size=\"66931200\", alpha=\"0.14\", expect_size=\"26772480\"] \n  8 -> 9 [size =\"26772480\"]\n  8 -> 10 [size =\"26772480\"]\n  9 [size=\"34467840\", alpha=\"0.03\", expect_size=\"13787136\"] \n  9 -> 13 [size =\"13787136\"]\n  10 [size=\"14041600\", alpha=\"0.12\", expect_size=\"5616640\"] \n  10 -> 12 [size =\"5616640\"]\n  11 [size=\"67397120\", alpha=\"0.15\", expect_size=\"26958848\"] \n  11 -> 12 [size =\"26958848\"]\n  11 -> 13 [size =\"26958848\"]\n  12 [size=\"75540480\", alpha=\"0.01\", expect_size=\"30216192\"] \n  12 -> 15 [size =\"30216192\"]\n  13 [size=\"59806720\", alpha=\"0.00\", expect_size=\"23922688\"] \n  13 -> 14 [size =\"23922688\"]\n  14 [size=\"82040320\", alpha=\"0.01\", expect_size=\"32816128\"] \n  15 [size=\"76318720\", alpha=\"0.16\", expect_size=\"30527488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111892480\", alpha=\"0.03\", expect_size=\"33567744\"] \n  1 -> 2 [size =\"33567744\"]\n  1 -> 3 [size =\"33567744\"]\n  2 [size=\"85261653\", alpha=\"0.19\", expect_size=\"25578496\"] \n  3 [size=\"64747520\", alpha=\"0.09\", expect_size=\"19424256\"] \n  3 -> 4 [size =\"19424256\"]\n  4 [size=\"91917653\", alpha=\"0.15\", expect_size=\"27575296\"] \n  4 -> 5 [size =\"27575296\"]\n  4 -> 6 [size =\"27575296\"]\n  5 [size=\"84910080\", alpha=\"0.07\", expect_size=\"25473024\"] \n  5 -> 7 [size =\"25473024\"]\n  6 [size=\"70809600\", alpha=\"0.06\", expect_size=\"21242880\"] \n  7 [size=\"80872107\", alpha=\"0.02\", expect_size=\"24261632\"] \n  7 -> 8 [size =\"24261632\"]\n  8 [size=\"148473173\", alpha=\"0.09\", expect_size=\"44541952\"] \n  8 -> 9 [size =\"44541952\"]\n  9 [size=\"52701867\", alpha=\"0.13\", expect_size=\"15810560\"] \n  9 -> 10 [size =\"15810560\"]\n  10 [size=\"80493227\", alpha=\"0.20\", expect_size=\"24147968\"] \n  10 -> 11 [size =\"24147968\"]\n  11 [size=\"31170560\", alpha=\"0.01\", expect_size=\"9351168\"] \n  11 -> 12 [size =\"9351168\"]\n  11 -> 13 [size =\"9351168\"]\n  12 [size=\"57432747\", alpha=\"0.09\", expect_size=\"17229824\"] \n  12 -> 14 [size =\"17229824\"]\n  13 [size=\"53422080\", alpha=\"0.19\", expect_size=\"16026624\"] \n  14 [size=\"124429653\", alpha=\"0.04\", expect_size=\"37328896\"] \n  14 -> 15 [size =\"37328896\"]\n  15 [size=\"82786987\", alpha=\"0.01\", expect_size=\"24836096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159330987\", alpha=\"0.18\", expect_size=\"47799296\"] \n  1 -> 7 [size =\"47799296\"]\n  1 -> 8 [size =\"47799296\"]\n  1 -> 9 [size =\"47799296\"]\n  2 [size=\"63334400\", alpha=\"0.06\", expect_size=\"19000320\"] \n  2 -> 6 [size =\"19000320\"]\n  2 -> 7 [size =\"19000320\"]\n  2 -> 8 [size =\"19000320\"]\n  2 -> 9 [size =\"19000320\"]\n  2 -> 10 [size =\"19000320\"]\n  3 [size=\"161112747\", alpha=\"0.04\", expect_size=\"48333824\"] \n  3 -> 6 [size =\"48333824\"]\n  4 [size=\"88678400\", alpha=\"0.09\", expect_size=\"26603520\"] \n  4 -> 7 [size =\"26603520\"]\n  4 -> 8 [size =\"26603520\"]\n  5 [size=\"64535893\", alpha=\"0.10\", expect_size=\"19360768\"] \n  5 -> 6 [size =\"19360768\"]\n  5 -> 9 [size =\"19360768\"]\n  6 [size=\"131386027\", alpha=\"0.10\", expect_size=\"39415808\"] \n  6 -> 13 [size =\"39415808\"]\n  6 -> 15 [size =\"39415808\"]\n  7 [size=\"36311040\", alpha=\"0.12\", expect_size=\"10893312\"] \n  7 -> 12 [size =\"10893312\"]\n  7 -> 13 [size =\"10893312\"]\n  8 [size=\"34747733\", alpha=\"0.15\", expect_size=\"10424320\"] \n  8 -> 12 [size =\"10424320\"]\n  8 -> 13 [size =\"10424320\"]\n  8 -> 14 [size =\"10424320\"]\n  8 -> 15 [size =\"10424320\"]\n  9 [size=\"45219840\", alpha=\"0.13\", expect_size=\"13565952\"] \n  9 -> 11 [size =\"13565952\"]\n  9 -> 13 [size =\"13565952\"]\n  9 -> 15 [size =\"13565952\"]\n  10 [size=\"165249707\", alpha=\"0.17\", expect_size=\"49574912\"] \n  10 -> 14 [size =\"49574912\"]\n  10 -> 15 [size =\"49574912\"]\n  11 [size=\"108206080\", alpha=\"0.09\", expect_size=\"32461824\"] \n  12 [size=\"89371307\", alpha=\"0.03\", expect_size=\"26811392\"] \n  13 [size=\"134444373\", alpha=\"0.13\", expect_size=\"40333312\"] \n  14 [size=\"162416640\", alpha=\"0.19\", expect_size=\"48724992\"] \n  15 [size=\"75537067\", alpha=\"0.03\", expect_size=\"22661120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102130347\", alpha=\"0.04\", expect_size=\"30639104\"] \n  2 [size=\"149046613\", alpha=\"0.16\", expect_size=\"44713984\"] \n  3 [size=\"142066347\", alpha=\"0.07\", expect_size=\"42619904\"] \n  3 -> 13 [size =\"42619904\"]\n  4 [size=\"98566827\", alpha=\"0.03\", expect_size=\"29570048\"] \n  5 [size=\"42100053\", alpha=\"0.06\", expect_size=\"12630016\"] \n  6 [size=\"97792000\", alpha=\"0.17\", expect_size=\"29337600\"] \n  7 [size=\"34027520\", alpha=\"0.02\", expect_size=\"10208256\"] \n  8 [size=\"94276267\", alpha=\"0.17\", expect_size=\"28282880\"] \n  8 -> 14 [size =\"28282880\"]\n  9 [size=\"65167360\", alpha=\"0.11\", expect_size=\"19550208\"] \n  9 -> 15 [size =\"19550208\"]\n  10 [size=\"166621867\", alpha=\"0.07\", expect_size=\"49986560\"] \n  11 [size=\"106786133\", alpha=\"0.05\", expect_size=\"32035840\"] \n  11 -> 15 [size =\"32035840\"]\n  12 [size=\"139438080\", alpha=\"0.01\", expect_size=\"41831424\"] \n  13 [size=\"108148053\", alpha=\"0.11\", expect_size=\"32444416\"] \n  14 [size=\"165317973\", alpha=\"0.19\", expect_size=\"49595392\"] \n  15 [size=\"33334613\", alpha=\"0.06\", expect_size=\"10000384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47894528\", alpha=\"0.00\", expect_size=\"23947264\"] \n  1 -> 6 [size =\"23947264\"]\n  1 -> 7 [size =\"23947264\"]\n  1 -> 8 [size =\"23947264\"]\n  1 -> 12 [size =\"23947264\"]\n  2 [size=\"46714880\", alpha=\"0.04\", expect_size=\"23357440\"] \n  2 -> 6 [size =\"23357440\"]\n  2 -> 11 [size =\"23357440\"]\n  3 [size=\"32260096\", alpha=\"0.00\", expect_size=\"16130048\"] \n  3 -> 10 [size =\"16130048\"]\n  3 -> 13 [size =\"16130048\"]\n  4 [size=\"69234688\", alpha=\"0.13\", expect_size=\"34617344\"] \n  4 -> 12 [size =\"34617344\"]\n  4 -> 13 [size =\"34617344\"]\n  5 [size=\"81074176\", alpha=\"0.16\", expect_size=\"40537088\"] \n  5 -> 8 [size =\"40537088\"]\n  5 -> 9 [size =\"40537088\"]\n  5 -> 11 [size =\"40537088\"]\n  5 -> 12 [size =\"40537088\"]\n  6 [size=\"84985856\", alpha=\"0.17\", expect_size=\"42492928\"] \n  6 -> 14 [size =\"42492928\"]\n  6 -> 15 [size =\"42492928\"]\n  7 [size=\"12554240\", alpha=\"0.02\", expect_size=\"6277120\"] \n  7 -> 15 [size =\"6277120\"]\n  8 [size=\"68030464\", alpha=\"0.19\", expect_size=\"34015232\"] \n  8 -> 15 [size =\"34015232\"]\n  9 [size=\"91289600\", alpha=\"0.08\", expect_size=\"45644800\"] \n  9 -> 15 [size =\"45644800\"]\n  10 [size=\"13375488\", alpha=\"0.06\", expect_size=\"6687744\"] \n  11 [size=\"56047616\", alpha=\"0.16\", expect_size=\"28023808\"] \n  12 [size=\"56631296\", alpha=\"0.10\", expect_size=\"28315648\"] \n  13 [size=\"77131776\", alpha=\"0.18\", expect_size=\"38565888\"] \n  13 -> 14 [size =\"38565888\"]\n  14 [size=\"78221312\", alpha=\"0.04\", expect_size=\"39110656\"] \n  15 [size=\"44597248\", alpha=\"0.11\", expect_size=\"22298624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110574080\", alpha=\"0.18\", expect_size=\"44229632\"] \n  1 -> 3 [size =\"44229632\"]\n  1 -> 4 [size =\"44229632\"]\n  2 [size=\"85760000\", alpha=\"0.14\", expect_size=\"34304000\"] \n  2 -> 3 [size =\"34304000\"]\n  2 -> 4 [size =\"34304000\"]\n  3 [size=\"111413760\", alpha=\"0.13\", expect_size=\"44565504\"] \n  3 -> 5 [size =\"44565504\"]\n  3 -> 6 [size =\"44565504\"]\n  4 [size=\"127357440\", alpha=\"0.13\", expect_size=\"50942976\"] \n  4 -> 6 [size =\"50942976\"]\n  5 [size=\"53857280\", alpha=\"0.05\", expect_size=\"21542912\"] \n  5 -> 7 [size =\"21542912\"]\n  6 [size=\"113809920\", alpha=\"0.10\", expect_size=\"45523968\"] \n  6 -> 7 [size =\"45523968\"]\n  7 [size=\"15360000\", alpha=\"0.02\", expect_size=\"6144000\"] \n  7 -> 8 [size =\"6144000\"]\n  8 [size=\"96161280\", alpha=\"0.03\", expect_size=\"38464512\"] \n  8 -> 9 [size =\"38464512\"]\n  9 [size=\"22758400\", alpha=\"0.05\", expect_size=\"9103360\"] \n  9 -> 10 [size =\"9103360\"]\n  10 [size=\"55339520\", alpha=\"0.12\", expect_size=\"22135808\"] \n  10 -> 11 [size =\"22135808\"]\n  11 [size=\"44828160\", alpha=\"0.01\", expect_size=\"17931264\"] \n  11 -> 12 [size =\"17931264\"]\n  12 [size=\"35379200\", alpha=\"0.04\", expect_size=\"14151680\"] \n  12 -> 13 [size =\"14151680\"]\n  13 [size=\"116784640\", alpha=\"0.17\", expect_size=\"46713856\"] \n  13 -> 14 [size =\"46713856\"]\n  13 -> 15 [size =\"46713856\"]\n  14 [size=\"78018560\", alpha=\"0.19\", expect_size=\"31207424\"] \n  15 [size=\"34995200\", alpha=\"0.11\", expect_size=\"13998080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91750400\", alpha=\"0.01\", expect_size=\"45875200\"] \n  1 -> 3 [size =\"45875200\"]\n  2 [size=\"50458624\", alpha=\"0.04\", expect_size=\"25229312\"] \n  3 [size=\"59166720\", alpha=\"0.11\", expect_size=\"29583360\"] \n  3 -> 4 [size =\"29583360\"]\n  4 [size=\"61831168\", alpha=\"0.01\", expect_size=\"30915584\"] \n  4 -> 5 [size =\"30915584\"]\n  4 -> 6 [size =\"30915584\"]\n  4 -> 7 [size =\"30915584\"]\n  5 [size=\"56152064\", alpha=\"0.04\", expect_size=\"28076032\"] \n  5 -> 9 [size =\"28076032\"]\n  5 -> 10 [size =\"28076032\"]\n  6 [size=\"60264448\", alpha=\"0.20\", expect_size=\"30132224\"] \n  7 [size=\"28213248\", alpha=\"0.12\", expect_size=\"14106624\"] \n  7 -> 8 [size =\"14106624\"]\n  7 -> 9 [size =\"14106624\"]\n  8 [size=\"27064320\", alpha=\"0.09\", expect_size=\"13532160\"] \n  8 -> 11 [size =\"13532160\"]\n  8 -> 13 [size =\"13532160\"]\n  9 [size=\"55203840\", alpha=\"0.12\", expect_size=\"27601920\"] \n  9 -> 12 [size =\"27601920\"]\n  10 [size=\"23787520\", alpha=\"0.10\", expect_size=\"11893760\"] \n  10 -> 11 [size =\"11893760\"]\n  10 -> 14 [size =\"11893760\"]\n  11 [size=\"100841472\", alpha=\"0.18\", expect_size=\"50420736\"] \n  12 [size=\"11743232\", alpha=\"0.11\", expect_size=\"5871616\"] \n  13 [size=\"31727616\", alpha=\"0.13\", expect_size=\"15863808\"] \n  14 [size=\"85297152\", alpha=\"0.00\", expect_size=\"42648576\"] \n  14 -> 15 [size =\"42648576\"]\n  15 [size=\"89085952\", alpha=\"0.12\", expect_size=\"44542976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77104640\", alpha=\"0.11\", expect_size=\"30841856\"] \n  1 -> 3 [size =\"30841856\"]\n  1 -> 4 [size =\"30841856\"]\n  2 [size=\"40232960\", alpha=\"0.09\", expect_size=\"16093184\"] \n  2 -> 3 [size =\"16093184\"]\n  2 -> 4 [size =\"16093184\"]\n  2 -> 5 [size =\"16093184\"]\n  3 [size=\"15467520\", alpha=\"0.12\", expect_size=\"6187008\"] \n  3 -> 7 [size =\"6187008\"]\n  4 [size=\"130314240\", alpha=\"0.18\", expect_size=\"52125696\"] \n  4 -> 6 [size =\"52125696\"]\n  5 [size=\"64368640\", alpha=\"0.15\", expect_size=\"25747456\"] \n  6 [size=\"111096320\", alpha=\"0.07\", expect_size=\"44438528\"] \n  6 -> 9 [size =\"44438528\"]\n  7 [size=\"127257600\", alpha=\"0.14\", expect_size=\"50903040\"] \n  7 -> 8 [size =\"50903040\"]\n  7 -> 9 [size =\"50903040\"]\n  7 -> 10 [size =\"50903040\"]\n  8 [size=\"13788160\", alpha=\"0.15\", expect_size=\"5515264\"] \n  8 -> 11 [size =\"5515264\"]\n  8 -> 12 [size =\"5515264\"]\n  9 [size=\"95521280\", alpha=\"0.12\", expect_size=\"38208512\"] \n  9 -> 11 [size =\"38208512\"]\n  9 -> 13 [size =\"38208512\"]\n  10 [size=\"126453760\", alpha=\"0.04\", expect_size=\"50581504\"] \n  10 -> 12 [size =\"50581504\"]\n  11 [size=\"105689600\", alpha=\"0.03\", expect_size=\"42275840\"] \n  11 -> 14 [size =\"42275840\"]\n  11 -> 15 [size =\"42275840\"]\n  12 [size=\"51607040\", alpha=\"0.12\", expect_size=\"20642816\"] \n  12 -> 14 [size =\"20642816\"]\n  13 [size=\"107343360\", alpha=\"0.15\", expect_size=\"42937344\"] \n  14 [size=\"57868800\", alpha=\"0.13\", expect_size=\"23147520\"] \n  15 [size=\"44695040\", alpha=\"0.09\", expect_size=\"17878016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107031040\", alpha=\"0.15\", expect_size=\"42812416\"] \n  1 -> 2 [size =\"42812416\"]\n  2 [size=\"79626240\", alpha=\"0.16\", expect_size=\"31850496\"] \n  2 -> 3 [size =\"31850496\"]\n  3 [size=\"121292800\", alpha=\"0.13\", expect_size=\"48517120\"] \n  3 -> 4 [size =\"48517120\"]\n  4 [size=\"119339520\", alpha=\"0.17\", expect_size=\"47735808\"] \n  4 -> 5 [size =\"47735808\"]\n  4 -> 6 [size =\"47735808\"]\n  5 [size=\"21322240\", alpha=\"0.02\", expect_size=\"8528896\"] \n  6 [size=\"84976640\", alpha=\"0.01\", expect_size=\"33990656\"] \n  6 -> 7 [size =\"33990656\"]\n  7 [size=\"60116480\", alpha=\"0.06\", expect_size=\"24046592\"] \n  7 -> 8 [size =\"24046592\"]\n  7 -> 9 [size =\"24046592\"]\n  8 [size=\"79301120\", alpha=\"0.15\", expect_size=\"31720448\"] \n  8 -> 10 [size =\"31720448\"]\n  8 -> 11 [size =\"31720448\"]\n  9 [size=\"77056000\", alpha=\"0.10\", expect_size=\"30822400\"] \n  9 -> 10 [size =\"30822400\"]\n  9 -> 11 [size =\"30822400\"]\n  10 [size=\"23398400\", alpha=\"0.08\", expect_size=\"9359360\"] \n  10 -> 12 [size =\"9359360\"]\n  11 [size=\"19415040\", alpha=\"0.15\", expect_size=\"7766016\"] \n  11 -> 12 [size =\"7766016\"]\n  12 [size=\"105379840\", alpha=\"0.13\", expect_size=\"42151936\"] \n  12 -> 13 [size =\"42151936\"]\n  12 -> 14 [size =\"42151936\"]\n  13 [size=\"79139840\", alpha=\"0.09\", expect_size=\"31655936\"] \n  13 -> 15 [size =\"31655936\"]\n  14 [size=\"36654080\", alpha=\"0.18\", expect_size=\"14661632\"] \n  14 -> 15 [size =\"14661632\"]\n  15 [size=\"18854400\", alpha=\"0.07\", expect_size=\"7541760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91487573\", alpha=\"0.07\", expect_size=\"27446272\"] \n  1 -> 12 [size =\"27446272\"]\n  1 -> 14 [size =\"27446272\"]\n  2 [size=\"128310613\", alpha=\"0.13\", expect_size=\"38493184\"] \n  2 -> 12 [size =\"38493184\"]\n  2 -> 13 [size =\"38493184\"]\n  2 -> 14 [size =\"38493184\"]\n  2 -> 15 [size =\"38493184\"]\n  3 [size=\"58439680\", alpha=\"0.10\", expect_size=\"17531904\"] \n  3 -> 14 [size =\"17531904\"]\n  3 -> 15 [size =\"17531904\"]\n  4 [size=\"114442240\", alpha=\"0.17\", expect_size=\"34332672\"] \n  4 -> 13 [size =\"34332672\"]\n  4 -> 15 [size =\"34332672\"]\n  5 [size=\"24214187\", alpha=\"0.13\", expect_size=\"7264256\"] \n  5 -> 15 [size =\"7264256\"]\n  6 [size=\"165393067\", alpha=\"0.19\", expect_size=\"49617920\"] \n  6 -> 12 [size =\"49617920\"]\n  7 [size=\"102232747\", alpha=\"0.15\", expect_size=\"30669824\"] \n  7 -> 12 [size =\"30669824\"]\n  8 [size=\"143936853\", alpha=\"0.01\", expect_size=\"43181056\"] \n  9 [size=\"20476587\", alpha=\"0.05\", expect_size=\"6142976\"] \n  9 -> 11 [size =\"6142976\"]\n  9 -> 13 [size =\"6142976\"]\n  10 [size=\"98355200\", alpha=\"0.14\", expect_size=\"29506560\"] \n  10 -> 11 [size =\"29506560\"]\n  10 -> 12 [size =\"29506560\"]\n  10 -> 13 [size =\"29506560\"]\n  10 -> 15 [size =\"29506560\"]\n  11 [size=\"17506987\", alpha=\"0.15\", expect_size=\"5252096\"] \n  12 [size=\"71864320\", alpha=\"0.15\", expect_size=\"21559296\"] \n  13 [size=\"171110400\", alpha=\"0.06\", expect_size=\"51333120\"] \n  14 [size=\"89330347\", alpha=\"0.19\", expect_size=\"26799104\"] \n  15 [size=\"61982720\", alpha=\"0.05\", expect_size=\"18594816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17844224\", alpha=\"0.14\", expect_size=\"8922112\"] \n  1 -> 12 [size =\"8922112\"]\n  2 [size=\"24535040\", alpha=\"0.14\", expect_size=\"12267520\"] \n  2 -> 13 [size =\"12267520\"]\n  3 [size=\"45832192\", alpha=\"0.00\", expect_size=\"22916096\"] \n  3 -> 12 [size =\"22916096\"]\n  3 -> 13 [size =\"22916096\"]\n  3 -> 15 [size =\"22916096\"]\n  4 [size=\"52391936\", alpha=\"0.19\", expect_size=\"26195968\"] \n  4 -> 12 [size =\"26195968\"]\n  4 -> 13 [size =\"26195968\"]\n  5 [size=\"60561408\", alpha=\"0.10\", expect_size=\"30280704\"] \n  5 -> 12 [size =\"30280704\"]\n  5 -> 15 [size =\"30280704\"]\n  6 [size=\"55263232\", alpha=\"0.16\", expect_size=\"27631616\"] \n  6 -> 12 [size =\"27631616\"]\n  6 -> 14 [size =\"27631616\"]\n  7 [size=\"28440576\", alpha=\"0.13\", expect_size=\"14220288\"] \n  7 -> 12 [size =\"14220288\"]\n  8 [size=\"15611904\", alpha=\"0.01\", expect_size=\"7805952\"] \n  8 -> 13 [size =\"7805952\"]\n  9 [size=\"52797440\", alpha=\"0.19\", expect_size=\"26398720\"] \n  9 -> 12 [size =\"26398720\"]\n  10 [size=\"24983552\", alpha=\"0.12\", expect_size=\"12491776\"] \n  10 -> 12 [size =\"12491776\"]\n  11 [size=\"101851136\", alpha=\"0.17\", expect_size=\"50925568\"] \n  12 [size=\"75098112\", alpha=\"0.11\", expect_size=\"37549056\"] \n  13 [size=\"49098752\", alpha=\"0.15\", expect_size=\"24549376\"] \n  14 [size=\"49391616\", alpha=\"0.04\", expect_size=\"24695808\"] \n  15 [size=\"43218944\", alpha=\"0.19\", expect_size=\"21609472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122443093\", alpha=\"0.10\", expect_size=\"36732928\"] \n  1 -> 2 [size =\"36732928\"]\n  2 [size=\"171008000\", alpha=\"0.17\", expect_size=\"51302400\"] \n  2 -> 3 [size =\"51302400\"]\n  3 [size=\"58234880\", alpha=\"0.16\", expect_size=\"17470464\"] \n  3 -> 4 [size =\"17470464\"]\n  4 [size=\"142916267\", alpha=\"0.07\", expect_size=\"42874880\"] \n  4 -> 5 [size =\"42874880\"]\n  5 [size=\"27057493\", alpha=\"0.15\", expect_size=\"8117248\"] \n  5 -> 6 [size =\"8117248\"]\n  6 [size=\"35642027\", alpha=\"0.08\", expect_size=\"10692608\"] \n  6 -> 7 [size =\"10692608\"]\n  7 [size=\"63993173\", alpha=\"0.10\", expect_size=\"19197952\"] \n  7 -> 8 [size =\"19197952\"]\n  8 [size=\"77670400\", alpha=\"0.06\", expect_size=\"23301120\"] \n  8 -> 9 [size =\"23301120\"]\n  9 [size=\"74738347\", alpha=\"0.07\", expect_size=\"22421504\"] \n  9 -> 10 [size =\"22421504\"]\n  10 [size=\"37474987\", alpha=\"0.08\", expect_size=\"11242496\"] \n  10 -> 11 [size =\"11242496\"]\n  11 [size=\"117442560\", alpha=\"0.05\", expect_size=\"35232768\"] \n  11 -> 12 [size =\"35232768\"]\n  12 [size=\"38324907\", alpha=\"0.07\", expect_size=\"11497472\"] \n  12 -> 13 [size =\"11497472\"]\n  13 [size=\"168608427\", alpha=\"0.18\", expect_size=\"50582528\"] \n  13 -> 14 [size =\"50582528\"]\n  14 [size=\"135478613\", alpha=\"0.18\", expect_size=\"40643584\"] \n  14 -> 15 [size =\"40643584\"]\n  15 [size=\"34846720\", alpha=\"0.01\", expect_size=\"10454016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106542080\", alpha=\"0.19\", expect_size=\"42616832\"] \n  1 -> 7 [size =\"42616832\"]\n  1 -> 8 [size =\"42616832\"]\n  1 -> 9 [size =\"42616832\"]\n  1 -> 10 [size =\"42616832\"]\n  1 -> 11 [size =\"42616832\"]\n  1 -> 12 [size =\"42616832\"]\n  1 -> 14 [size =\"42616832\"]\n  2 [size=\"17395200\", alpha=\"0.08\", expect_size=\"6958080\"] \n  2 -> 7 [size =\"6958080\"]\n  2 -> 9 [size =\"6958080\"]\n  2 -> 9 [size =\"6958080\"]\n  2 -> 13 [size =\"6958080\"]\n  2 -> 14 [size =\"6958080\"]\n  3 [size=\"84067840\", alpha=\"0.11\", expect_size=\"33627136\"] \n  3 -> 7 [size =\"33627136\"]\n  3 -> 8 [size =\"33627136\"]\n  3 -> 9 [size =\"33627136\"]\n  3 -> 10 [size =\"33627136\"]\n  3 -> 14 [size =\"33627136\"]\n  4 [size=\"83624960\", alpha=\"0.13\", expect_size=\"33449984\"] \n  4 -> 7 [size =\"33449984\"]\n  4 -> 9 [size =\"33449984\"]\n  4 -> 13 [size =\"33449984\"]\n  4 -> 15 [size =\"33449984\"]\n  5 [size=\"72627200\", alpha=\"0.15\", expect_size=\"29050880\"] \n  5 -> 7 [size =\"29050880\"]\n  5 -> 10 [size =\"29050880\"]\n  5 -> 15 [size =\"29050880\"]\n  6 [size=\"17920000\", alpha=\"0.09\", expect_size=\"7168000\"] \n  6 -> 7 [size =\"7168000\"]\n  6 -> 8 [size =\"7168000\"]\n  6 -> 9 [size =\"7168000\"]\n  6 -> 10 [size =\"7168000\"]\n  6 -> 11 [size =\"7168000\"]\n  6 -> 14 [size =\"7168000\"]\n  7 [size=\"130024960\", alpha=\"0.20\", expect_size=\"52009984\"] \n  8 [size=\"19348480\", alpha=\"0.09\", expect_size=\"7739392\"] \n  9 [size=\"49070080\", alpha=\"0.17\", expect_size=\"19628032\"] \n  10 [size=\"63900160\", alpha=\"0.19\", expect_size=\"25560064\"] \n  11 [size=\"60587520\", alpha=\"0.09\", expect_size=\"24235008\"] \n  12 [size=\"55741440\", alpha=\"0.02\", expect_size=\"22296576\"] \n  13 [size=\"104376320\", alpha=\"0.04\", expect_size=\"41750528\"] \n  14 [size=\"51338240\", alpha=\"0.15\", expect_size=\"20535296\"] \n  15 [size=\"128389120\", alpha=\"0.17\", expect_size=\"51355648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73863680\", alpha=\"0.18\", expect_size=\"29545472\"] \n  1 -> 2 [size =\"29545472\"]\n  2 [size=\"65781760\", alpha=\"0.02\", expect_size=\"26312704\"] \n  2 -> 3 [size =\"26312704\"]\n  2 -> 4 [size =\"26312704\"]\n  3 [size=\"75706880\", alpha=\"0.07\", expect_size=\"30282752\"] \n  3 -> 5 [size =\"30282752\"]\n  4 [size=\"30891520\", alpha=\"0.04\", expect_size=\"12356608\"] \n  5 [size=\"57556480\", alpha=\"0.11\", expect_size=\"23022592\"] \n  5 -> 6 [size =\"23022592\"]\n  5 -> 7 [size =\"23022592\"]\n  6 [size=\"34186240\", alpha=\"0.18\", expect_size=\"13674496\"] \n  6 -> 8 [size =\"13674496\"]\n  6 -> 9 [size =\"13674496\"]\n  7 [size=\"46876160\", alpha=\"0.00\", expect_size=\"18750464\"] \n  7 -> 8 [size =\"18750464\"]\n  7 -> 9 [size =\"18750464\"]\n  8 [size=\"55872000\", alpha=\"0.01\", expect_size=\"22348800\"] \n  8 -> 10 [size =\"22348800\"]\n  9 [size=\"50201600\", alpha=\"0.01\", expect_size=\"20080640\"] \n  9 -> 10 [size =\"20080640\"]\n  10 [size=\"82240000\", alpha=\"0.03\", expect_size=\"32896000\"] \n  10 -> 11 [size =\"32896000\"]\n  11 [size=\"28318720\", alpha=\"0.19\", expect_size=\"11327488\"] \n  11 -> 12 [size =\"11327488\"]\n  11 -> 13 [size =\"11327488\"]\n  12 [size=\"16724480\", alpha=\"0.13\", expect_size=\"6689792\"] \n  12 -> 14 [size =\"6689792\"]\n  13 [size=\"29437440\", alpha=\"0.16\", expect_size=\"11774976\"] \n  14 [size=\"71790080\", alpha=\"0.01\", expect_size=\"28716032\"] \n  14 -> 15 [size =\"28716032\"]\n  15 [size=\"98186240\", alpha=\"0.13\", expect_size=\"39274496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90506240\", alpha=\"0.10\", expect_size=\"36202496\"] \n  2 [size=\"116871680\", alpha=\"0.04\", expect_size=\"46748672\"] \n  3 [size=\"101785600\", alpha=\"0.08\", expect_size=\"40714240\"] \n  3 -> 8 [size =\"40714240\"]\n  3 -> 9 [size =\"40714240\"]\n  3 -> 12 [size =\"40714240\"]\n  4 [size=\"53506560\", alpha=\"0.20\", expect_size=\"21402624\"] \n  4 -> 9 [size =\"21402624\"]\n  4 -> 11 [size =\"21402624\"]\n  4 -> 12 [size =\"21402624\"]\n  5 [size=\"74117120\", alpha=\"0.11\", expect_size=\"29646848\"] \n  5 -> 11 [size =\"29646848\"]\n  6 [size=\"103127040\", alpha=\"0.13\", expect_size=\"41250816\"] \n  6 -> 11 [size =\"41250816\"]\n  7 [size=\"71329280\", alpha=\"0.06\", expect_size=\"28531712\"] \n  7 -> 10 [size =\"28531712\"]\n  7 -> 11 [size =\"28531712\"]\n  8 [size=\"100096000\", alpha=\"0.14\", expect_size=\"40038400\"] \n  8 -> 15 [size =\"40038400\"]\n  9 [size=\"115640320\", alpha=\"0.11\", expect_size=\"46256128\"] \n  10 [size=\"85245440\", alpha=\"0.17\", expect_size=\"34098176\"] \n  11 [size=\"14164480\", alpha=\"0.04\", expect_size=\"5665792\"] \n  11 -> 14 [size =\"5665792\"]\n  12 [size=\"70561280\", alpha=\"0.14\", expect_size=\"28224512\"] \n  12 -> 13 [size =\"28224512\"]\n  12 -> 14 [size =\"28224512\"]\n  13 [size=\"95641600\", alpha=\"0.15\", expect_size=\"38256640\"] \n  14 [size=\"27409920\", alpha=\"0.00\", expect_size=\"10963968\"] \n  15 [size=\"25958400\", alpha=\"0.12\", expect_size=\"10383360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80392192\", alpha=\"0.17\", expect_size=\"40196096\"] \n  1 -> 3 [size =\"40196096\"]\n  2 [size=\"101617664\", alpha=\"0.09\", expect_size=\"50808832\"] \n  2 -> 3 [size =\"50808832\"]\n  3 [size=\"66328576\", alpha=\"0.02\", expect_size=\"33164288\"] \n  3 -> 4 [size =\"33164288\"]\n  4 [size=\"36284416\", alpha=\"0.16\", expect_size=\"18142208\"] \n  4 -> 5 [size =\"18142208\"]\n  5 [size=\"13211648\", alpha=\"0.08\", expect_size=\"6605824\"] \n  5 -> 6 [size =\"6605824\"]\n  5 -> 7 [size =\"6605824\"]\n  6 [size=\"23111680\", alpha=\"0.04\", expect_size=\"11555840\"] \n  7 [size=\"74067968\", alpha=\"0.14\", expect_size=\"37033984\"] \n  7 -> 8 [size =\"37033984\"]\n  8 [size=\"85542912\", alpha=\"0.00\", expect_size=\"42771456\"] \n  8 -> 9 [size =\"42771456\"]\n  9 [size=\"56446976\", alpha=\"0.02\", expect_size=\"28223488\"] \n  9 -> 10 [size =\"28223488\"]\n  9 -> 11 [size =\"28223488\"]\n  10 [size=\"17584128\", alpha=\"0.00\", expect_size=\"8792064\"] \n  10 -> 12 [size =\"8792064\"]\n  11 [size=\"25417728\", alpha=\"0.13\", expect_size=\"12708864\"] \n  12 [size=\"11608064\", alpha=\"0.02\", expect_size=\"5804032\"] \n  12 -> 13 [size =\"5804032\"]\n  12 -> 14 [size =\"5804032\"]\n  13 [size=\"55117824\", alpha=\"0.04\", expect_size=\"27558912\"] \n  13 -> 15 [size =\"27558912\"]\n  14 [size=\"63305728\", alpha=\"0.16\", expect_size=\"31652864\"] \n  14 -> 15 [size =\"31652864\"]\n  15 [size=\"43337728\", alpha=\"0.10\", expect_size=\"21668864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113930240\", alpha=\"0.12\", expect_size=\"45572096\"] \n  1 -> 2 [size =\"45572096\"]\n  2 [size=\"76193280\", alpha=\"0.18\", expect_size=\"30477312\"] \n  2 -> 3 [size =\"30477312\"]\n  3 [size=\"37757440\", alpha=\"0.15\", expect_size=\"15102976\"] \n  3 -> 4 [size =\"15102976\"]\n  4 [size=\"90240000\", alpha=\"0.11\", expect_size=\"36096000\"] \n  4 -> 5 [size =\"36096000\"]\n  5 [size=\"89625600\", alpha=\"0.06\", expect_size=\"35850240\"] \n  5 -> 6 [size =\"35850240\"]\n  6 [size=\"80609280\", alpha=\"0.05\", expect_size=\"32243712\"] \n  6 -> 7 [size =\"32243712\"]\n  7 [size=\"93212160\", alpha=\"0.16\", expect_size=\"37284864\"] \n  7 -> 8 [size =\"37284864\"]\n  8 [size=\"76687360\", alpha=\"0.20\", expect_size=\"30674944\"] \n  8 -> 9 [size =\"30674944\"]\n  9 [size=\"68759040\", alpha=\"0.02\", expect_size=\"27503616\"] \n  9 -> 10 [size =\"27503616\"]\n  10 [size=\"17684480\", alpha=\"0.01\", expect_size=\"7073792\"] \n  10 -> 11 [size =\"7073792\"]\n  11 [size=\"129932800\", alpha=\"0.18\", expect_size=\"51973120\"] \n  11 -> 12 [size =\"51973120\"]\n  12 [size=\"85475840\", alpha=\"0.06\", expect_size=\"34190336\"] \n  12 -> 13 [size =\"34190336\"]\n  13 [size=\"76175360\", alpha=\"0.00\", expect_size=\"30470144\"] \n  13 -> 14 [size =\"30470144\"]\n  14 [size=\"49571840\", alpha=\"0.17\", expect_size=\"19828736\"] \n  14 -> 15 [size =\"19828736\"]\n  15 [size=\"115284480\", alpha=\"0.04\", expect_size=\"46113792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59917653\", alpha=\"0.03\", expect_size=\"17975296\"] \n  1 -> 2 [size =\"17975296\"]\n  2 [size=\"82991787\", alpha=\"0.11\", expect_size=\"24897536\"] \n  2 -> 3 [size =\"24897536\"]\n  3 [size=\"66570240\", alpha=\"0.10\", expect_size=\"19971072\"] \n  3 -> 4 [size =\"19971072\"]\n  4 [size=\"112967680\", alpha=\"0.10\", expect_size=\"33890304\"] \n  4 -> 5 [size =\"33890304\"]\n  5 [size=\"22674773\", alpha=\"0.19\", expect_size=\"6802432\"] \n  5 -> 6 [size =\"6802432\"]\n  6 [size=\"142841173\", alpha=\"0.14\", expect_size=\"42852352\"] \n  6 -> 7 [size =\"42852352\"]\n  7 [size=\"97460907\", alpha=\"0.03\", expect_size=\"29238272\"] \n  7 -> 8 [size =\"29238272\"]\n  8 [size=\"66160640\", alpha=\"0.18\", expect_size=\"19848192\"] \n  8 -> 9 [size =\"19848192\"]\n  9 [size=\"72980480\", alpha=\"0.11\", expect_size=\"21894144\"] \n  9 -> 10 [size =\"21894144\"]\n  10 [size=\"55780693\", alpha=\"0.12\", expect_size=\"16734208\"] \n  10 -> 11 [size =\"16734208\"]\n  11 [size=\"124170240\", alpha=\"0.16\", expect_size=\"37251072\"] \n  11 -> 12 [size =\"37251072\"]\n  12 [size=\"148087467\", alpha=\"0.11\", expect_size=\"44426240\"] \n  12 -> 13 [size =\"44426240\"]\n  13 [size=\"79933440\", alpha=\"0.13\", expect_size=\"23980032\"] \n  13 -> 14 [size =\"23980032\"]\n  14 [size=\"161402880\", alpha=\"0.09\", expect_size=\"48420864\"] \n  14 -> 15 [size =\"48420864\"]\n  15 [size=\"79349760\", alpha=\"0.20\", expect_size=\"23804928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38295040\", alpha=\"0.15\", expect_size=\"15318016\"] \n  2 [size=\"44224000\", alpha=\"0.13\", expect_size=\"17689600\"] \n  2 -> 9 [size =\"17689600\"]\n  3 [size=\"63185920\", alpha=\"0.14\", expect_size=\"25274368\"] \n  3 -> 7 [size =\"25274368\"]\n  3 -> 10 [size =\"25274368\"]\n  4 [size=\"18739200\", alpha=\"0.18\", expect_size=\"7495680\"] \n  4 -> 10 [size =\"7495680\"]\n  5 [size=\"94315520\", alpha=\"0.04\", expect_size=\"37726208\"] \n  5 -> 7 [size =\"37726208\"]\n  5 -> 8 [size =\"37726208\"]\n  5 -> 9 [size =\"37726208\"]\n  6 [size=\"48803840\", alpha=\"0.04\", expect_size=\"19521536\"] \n  6 -> 7 [size =\"19521536\"]\n  6 -> 8 [size =\"19521536\"]\n  6 -> 10 [size =\"19521536\"]\n  7 [size=\"121707520\", alpha=\"0.05\", expect_size=\"48683008\"] \n  7 -> 12 [size =\"48683008\"]\n  8 [size=\"79969280\", alpha=\"0.08\", expect_size=\"31987712\"] \n  8 -> 11 [size =\"31987712\"]\n  8 -> 12 [size =\"31987712\"]\n  8 -> 14 [size =\"31987712\"]\n  8 -> 15 [size =\"31987712\"]\n  9 [size=\"122232320\", alpha=\"0.11\", expect_size=\"48892928\"] \n  9 -> 13 [size =\"48892928\"]\n  9 -> 14 [size =\"48892928\"]\n  10 [size=\"75706880\", alpha=\"0.13\", expect_size=\"30282752\"] \n  10 -> 15 [size =\"30282752\"]\n  11 [size=\"54159360\", alpha=\"0.19\", expect_size=\"21663744\"] \n  12 [size=\"23869440\", alpha=\"0.06\", expect_size=\"9547776\"] \n  13 [size=\"101125120\", alpha=\"0.09\", expect_size=\"40450048\"] \n  14 [size=\"67496960\", alpha=\"0.02\", expect_size=\"26998784\"] \n  15 [size=\"57866240\", alpha=\"0.03\", expect_size=\"23146496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171997867\", alpha=\"0.05\", expect_size=\"51599360\"] \n  1 -> 5 [size =\"51599360\"]\n  2 [size=\"110226773\", alpha=\"0.01\", expect_size=\"33068032\"] \n  3 [size=\"150422187\", alpha=\"0.08\", expect_size=\"45126656\"] \n  3 -> 6 [size =\"45126656\"]\n  4 [size=\"33426773\", alpha=\"0.04\", expect_size=\"10028032\"] \n  4 -> 5 [size =\"10028032\"]\n  5 [size=\"46015147\", alpha=\"0.17\", expect_size=\"13804544\"] \n  5 -> 7 [size =\"13804544\"]\n  5 -> 8 [size =\"13804544\"]\n  6 [size=\"20599467\", alpha=\"0.20\", expect_size=\"6179840\"] \n  6 -> 7 [size =\"6179840\"]\n  7 [size=\"19797333\", alpha=\"0.06\", expect_size=\"5939200\"] \n  7 -> 9 [size =\"5939200\"]\n  7 -> 10 [size =\"5939200\"]\n  8 [size=\"143674027\", alpha=\"0.03\", expect_size=\"43102208\"] \n  8 -> 10 [size =\"43102208\"]\n  9 [size=\"56166400\", alpha=\"0.12\", expect_size=\"16849920\"] \n  9 -> 11 [size =\"16849920\"]\n  9 -> 12 [size =\"16849920\"]\n  9 -> 13 [size =\"16849920\"]\n  10 [size=\"122060800\", alpha=\"0.05\", expect_size=\"36618240\"] \n  10 -> 11 [size =\"36618240\"]\n  10 -> 12 [size =\"36618240\"]\n  11 [size=\"71802880\", alpha=\"0.04\", expect_size=\"21540864\"] \n  12 [size=\"112797013\", alpha=\"0.17\", expect_size=\"33839104\"] \n  12 -> 15 [size =\"33839104\"]\n  13 [size=\"117906773\", alpha=\"0.12\", expect_size=\"35372032\"] \n  13 -> 14 [size =\"35372032\"]\n  14 [size=\"22623573\", alpha=\"0.00\", expect_size=\"6787072\"] \n  15 [size=\"54152533\", alpha=\"0.18\", expect_size=\"16245760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100706987\", alpha=\"0.15\", expect_size=\"30212096\"] \n  1 -> 2 [size =\"30212096\"]\n  2 [size=\"108400640\", alpha=\"0.20\", expect_size=\"32520192\"] \n  2 -> 3 [size =\"32520192\"]\n  3 [size=\"39570773\", alpha=\"0.05\", expect_size=\"11871232\"] \n  3 -> 4 [size =\"11871232\"]\n  4 [size=\"94293333\", alpha=\"0.05\", expect_size=\"28288000\"] \n  4 -> 5 [size =\"28288000\"]\n  5 [size=\"129218560\", alpha=\"0.06\", expect_size=\"38765568\"] \n  5 -> 6 [size =\"38765568\"]\n  6 [size=\"95829333\", alpha=\"0.01\", expect_size=\"28748800\"] \n  6 -> 7 [size =\"28748800\"]\n  7 [size=\"100188160\", alpha=\"0.02\", expect_size=\"30056448\"] \n  7 -> 8 [size =\"30056448\"]\n  8 [size=\"41390080\", alpha=\"0.13\", expect_size=\"12417024\"] \n  8 -> 9 [size =\"12417024\"]\n  9 [size=\"21940907\", alpha=\"0.16\", expect_size=\"6582272\"] \n  9 -> 10 [size =\"6582272\"]\n  10 [size=\"157487787\", alpha=\"0.04\", expect_size=\"47246336\"] \n  10 -> 11 [size =\"47246336\"]\n  11 [size=\"60576427\", alpha=\"0.09\", expect_size=\"18172928\"] \n  11 -> 12 [size =\"18172928\"]\n  12 [size=\"19138560\", alpha=\"0.03\", expect_size=\"5741568\"] \n  12 -> 13 [size =\"5741568\"]\n  13 [size=\"18991787\", alpha=\"0.10\", expect_size=\"5697536\"] \n  13 -> 14 [size =\"5697536\"]\n  14 [size=\"57060693\", alpha=\"0.03\", expect_size=\"17118208\"] \n  14 -> 15 [size =\"17118208\"]\n  15 [size=\"93736960\", alpha=\"0.15\", expect_size=\"28121088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37123413\", alpha=\"0.19\", expect_size=\"11137024\"] \n  1 -> 4 [size =\"11137024\"]\n  1 -> 5 [size =\"11137024\"]\n  2 [size=\"126382080\", alpha=\"0.09\", expect_size=\"37914624\"] \n  2 -> 3 [size =\"37914624\"]\n  2 -> 4 [size =\"37914624\"]\n  3 [size=\"91398827\", alpha=\"0.19\", expect_size=\"27419648\"] \n  3 -> 6 [size =\"27419648\"]\n  3 -> 7 [size =\"27419648\"]\n  4 [size=\"38642347\", alpha=\"0.19\", expect_size=\"11592704\"] \n  4 -> 7 [size =\"11592704\"]\n  4 -> 8 [size =\"11592704\"]\n  5 [size=\"99611307\", alpha=\"0.05\", expect_size=\"29883392\"] \n  5 -> 8 [size =\"29883392\"]\n  6 [size=\"51210240\", alpha=\"0.19\", expect_size=\"15363072\"] \n  6 -> 9 [size =\"15363072\"]\n  6 -> 10 [size =\"15363072\"]\n  7 [size=\"36051627\", alpha=\"0.02\", expect_size=\"10815488\"] \n  7 -> 9 [size =\"10815488\"]\n  7 -> 10 [size =\"10815488\"]\n  8 [size=\"139776000\", alpha=\"0.14\", expect_size=\"41932800\"] \n  9 [size=\"34945707\", alpha=\"0.07\", expect_size=\"10483712\"] \n  9 -> 12 [size =\"10483712\"]\n  10 [size=\"55517867\", alpha=\"0.08\", expect_size=\"16655360\"] \n  10 -> 11 [size =\"16655360\"]\n  11 [size=\"43827200\", alpha=\"0.18\", expect_size=\"13148160\"] \n  11 -> 13 [size =\"13148160\"]\n  12 [size=\"32382293\", alpha=\"0.11\", expect_size=\"9714688\"] \n  12 -> 13 [size =\"9714688\"]\n  12 -> 14 [size =\"9714688\"]\n  13 [size=\"103004160\", alpha=\"0.18\", expect_size=\"30901248\"] \n  13 -> 15 [size =\"30901248\"]\n  14 [size=\"93265920\", alpha=\"0.03\", expect_size=\"27979776\"] \n  14 -> 15 [size =\"27979776\"]\n  15 [size=\"85736107\", alpha=\"0.16\", expect_size=\"25720832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101416960\", alpha=\"0.17\", expect_size=\"40566784\"] \n  1 -> 2 [size =\"40566784\"]\n  1 -> 3 [size =\"40566784\"]\n  2 [size=\"113830400\", alpha=\"0.16\", expect_size=\"45532160\"] \n  2 -> 4 [size =\"45532160\"]\n  3 [size=\"52569600\", alpha=\"0.05\", expect_size=\"21027840\"] \n  3 -> 4 [size =\"21027840\"]\n  4 [size=\"52968960\", alpha=\"0.04\", expect_size=\"21187584\"] \n  4 -> 5 [size =\"21187584\"]\n  5 [size=\"58355200\", alpha=\"0.01\", expect_size=\"23342080\"] \n  5 -> 6 [size =\"23342080\"]\n  6 [size=\"126919680\", alpha=\"0.01\", expect_size=\"50767872\"] \n  6 -> 7 [size =\"50767872\"]\n  6 -> 8 [size =\"50767872\"]\n  7 [size=\"122728960\", alpha=\"0.19\", expect_size=\"49091584\"] \n  7 -> 9 [size =\"49091584\"]\n  8 [size=\"32115200\", alpha=\"0.04\", expect_size=\"12846080\"] \n  8 -> 9 [size =\"12846080\"]\n  9 [size=\"91315200\", alpha=\"0.08\", expect_size=\"36526080\"] \n  9 -> 10 [size =\"36526080\"]\n  10 [size=\"42869760\", alpha=\"0.12\", expect_size=\"17147904\"] \n  10 -> 11 [size =\"17147904\"]\n  10 -> 12 [size =\"17147904\"]\n  11 [size=\"42723840\", alpha=\"0.14\", expect_size=\"17089536\"] \n  11 -> 13 [size =\"17089536\"]\n  12 [size=\"23582720\", alpha=\"0.13\", expect_size=\"9433088\"] \n  12 -> 13 [size =\"9433088\"]\n  13 [size=\"115458560\", alpha=\"0.10\", expect_size=\"46183424\"] \n  13 -> 14 [size =\"46183424\"]\n  14 [size=\"29468160\", alpha=\"0.12\", expect_size=\"11787264\"] \n  14 -> 15 [size =\"11787264\"]\n  15 [size=\"53754880\", alpha=\"0.04\", expect_size=\"21501952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48742400\", alpha=\"0.05\", expect_size=\"19496960\"] \n  2 [size=\"98854400\", alpha=\"0.01\", expect_size=\"39541760\"] \n  2 -> 5 [size =\"39541760\"]\n  3 [size=\"92520960\", alpha=\"0.15\", expect_size=\"37008384\"] \n  3 -> 4 [size =\"37008384\"]\n  3 -> 5 [size =\"37008384\"]\n  4 [size=\"55168000\", alpha=\"0.14\", expect_size=\"22067200\"] \n  4 -> 8 [size =\"22067200\"]\n  5 [size=\"91494400\", alpha=\"0.19\", expect_size=\"36597760\"] \n  5 -> 6 [size =\"36597760\"]\n  5 -> 7 [size =\"36597760\"]\n  6 [size=\"74442240\", alpha=\"0.17\", expect_size=\"29776896\"] \n  6 -> 9 [size =\"29776896\"]\n  7 [size=\"16488960\", alpha=\"0.07\", expect_size=\"6595584\"] \n  7 -> 9 [size =\"6595584\"]\n  8 [size=\"29619200\", alpha=\"0.13\", expect_size=\"11847680\"] \n  8 -> 10 [size =\"11847680\"]\n  9 [size=\"119936000\", alpha=\"0.10\", expect_size=\"47974400\"] \n  9 -> 11 [size =\"47974400\"]\n  9 -> 12 [size =\"47974400\"]\n  10 [size=\"50286080\", alpha=\"0.19\", expect_size=\"20114432\"] \n  10 -> 12 [size =\"20114432\"]\n  11 [size=\"34682880\", alpha=\"0.03\", expect_size=\"13873152\"] \n  11 -> 13 [size =\"13873152\"]\n  11 -> 14 [size =\"13873152\"]\n  12 [size=\"65766400\", alpha=\"0.19\", expect_size=\"26306560\"] \n  12 -> 13 [size =\"26306560\"]\n  13 [size=\"71815680\", alpha=\"0.16\", expect_size=\"28726272\"] \n  13 -> 15 [size =\"28726272\"]\n  14 [size=\"45040640\", alpha=\"0.02\", expect_size=\"18016256\"] \n  14 -> 15 [size =\"18016256\"]\n  15 [size=\"130063360\", alpha=\"0.10\", expect_size=\"52025344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79280640\", alpha=\"0.11\", expect_size=\"31712256\"] \n  1 -> 2 [size =\"31712256\"]\n  2 [size=\"13644800\", alpha=\"0.13\", expect_size=\"5457920\"] \n  2 -> 3 [size =\"5457920\"]\n  2 -> 4 [size =\"5457920\"]\n  3 [size=\"68613120\", alpha=\"0.10\", expect_size=\"27445248\"] \n  3 -> 6 [size =\"27445248\"]\n  4 [size=\"93624320\", alpha=\"0.07\", expect_size=\"37449728\"] \n  4 -> 5 [size =\"37449728\"]\n  5 [size=\"28392960\", alpha=\"0.11\", expect_size=\"11357184\"] \n  5 -> 8 [size =\"11357184\"]\n  6 [size=\"73103360\", alpha=\"0.20\", expect_size=\"29241344\"] \n  6 -> 7 [size =\"29241344\"]\n  7 [size=\"81894400\", alpha=\"0.19\", expect_size=\"32757760\"] \n  7 -> 9 [size =\"32757760\"]\n  8 [size=\"120258560\", alpha=\"0.16\", expect_size=\"48103424\"] \n  9 [size=\"83379200\", alpha=\"0.01\", expect_size=\"33351680\"] \n  9 -> 10 [size =\"33351680\"]\n  9 -> 11 [size =\"33351680\"]\n  10 [size=\"52920320\", alpha=\"0.01\", expect_size=\"21168128\"] \n  10 -> 12 [size =\"21168128\"]\n  10 -> 13 [size =\"21168128\"]\n  11 [size=\"83522560\", alpha=\"0.18\", expect_size=\"33409024\"] \n  12 [size=\"32455680\", alpha=\"0.17\", expect_size=\"12982272\"] \n  13 [size=\"108999680\", alpha=\"0.08\", expect_size=\"43599872\"] \n  13 -> 14 [size =\"43599872\"]\n  14 [size=\"51289600\", alpha=\"0.13\", expect_size=\"20515840\"] \n  14 -> 15 [size =\"20515840\"]\n  15 [size=\"92966400\", alpha=\"0.06\", expect_size=\"37186560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87576576\", alpha=\"0.15\", expect_size=\"43788288\"] \n  1 -> 3 [size =\"43788288\"]\n  2 [size=\"24946688\", alpha=\"0.16\", expect_size=\"12473344\"] \n  3 [size=\"87173120\", alpha=\"0.15\", expect_size=\"43586560\"] \n  3 -> 4 [size =\"43586560\"]\n  3 -> 5 [size =\"43586560\"]\n  3 -> 6 [size =\"43586560\"]\n  3 -> 7 [size =\"43586560\"]\n  4 [size=\"43159552\", alpha=\"0.10\", expect_size=\"21579776\"] \n  4 -> 8 [size =\"21579776\"]\n  4 -> 9 [size =\"21579776\"]\n  4 -> 10 [size =\"21579776\"]\n  5 [size=\"17383424\", alpha=\"0.09\", expect_size=\"8691712\"] \n  5 -> 8 [size =\"8691712\"]\n  5 -> 9 [size =\"8691712\"]\n  5 -> 10 [size =\"8691712\"]\n  6 [size=\"29896704\", alpha=\"0.00\", expect_size=\"14948352\"] \n  6 -> 8 [size =\"14948352\"]\n  6 -> 9 [size =\"14948352\"]\n  6 -> 10 [size =\"14948352\"]\n  7 [size=\"48750592\", alpha=\"0.17\", expect_size=\"24375296\"] \n  7 -> 8 [size =\"24375296\"]\n  7 -> 9 [size =\"24375296\"]\n  8 [size=\"40476672\", alpha=\"0.07\", expect_size=\"20238336\"] \n  8 -> 11 [size =\"20238336\"]\n  9 [size=\"45740032\", alpha=\"0.18\", expect_size=\"22870016\"] \n  9 -> 11 [size =\"22870016\"]\n  10 [size=\"46010368\", alpha=\"0.19\", expect_size=\"23005184\"] \n  11 [size=\"36292608\", alpha=\"0.18\", expect_size=\"18146304\"] \n  11 -> 12 [size =\"18146304\"]\n  11 -> 13 [size =\"18146304\"]\n  12 [size=\"12849152\", alpha=\"0.05\", expect_size=\"6424576\"] \n  12 -> 14 [size =\"6424576\"]\n  13 [size=\"86796288\", alpha=\"0.19\", expect_size=\"43398144\"] \n  13 -> 14 [size =\"43398144\"]\n  14 [size=\"61112320\", alpha=\"0.12\", expect_size=\"30556160\"] \n  14 -> 15 [size =\"30556160\"]\n  15 [size=\"13717504\", alpha=\"0.13\", expect_size=\"6858752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104219307\", alpha=\"0.07\", expect_size=\"31265792\"] \n  1 -> 11 [size =\"31265792\"]\n  1 -> 13 [size =\"31265792\"]\n  2 [size=\"69570560\", alpha=\"0.20\", expect_size=\"20871168\"] \n  2 -> 8 [size =\"20871168\"]\n  2 -> 11 [size =\"20871168\"]\n  2 -> 13 [size =\"20871168\"]\n  3 [size=\"84718933\", alpha=\"0.15\", expect_size=\"25415680\"] \n  3 -> 8 [size =\"25415680\"]\n  3 -> 13 [size =\"25415680\"]\n  4 [size=\"171055787\", alpha=\"0.08\", expect_size=\"51316736\"] \n  4 -> 11 [size =\"51316736\"]\n  4 -> 14 [size =\"51316736\"]\n  5 [size=\"142496427\", alpha=\"0.12\", expect_size=\"42748928\"] \n  6 [size=\"154845867\", alpha=\"0.16\", expect_size=\"46453760\"] \n  6 -> 8 [size =\"46453760\"]\n  6 -> 9 [size =\"46453760\"]\n  6 -> 10 [size =\"46453760\"]\n  6 -> 12 [size =\"46453760\"]\n  6 -> 15 [size =\"46453760\"]\n  7 [size=\"51432107\", alpha=\"0.07\", expect_size=\"15429632\"] \n  8 [size=\"87521280\", alpha=\"0.09\", expect_size=\"26256384\"] \n  9 [size=\"68061867\", alpha=\"0.11\", expect_size=\"20418560\"] \n  10 [size=\"86865920\", alpha=\"0.05\", expect_size=\"26059776\"] \n  11 [size=\"68123307\", alpha=\"0.08\", expect_size=\"20436992\"] \n  12 [size=\"126266027\", alpha=\"0.05\", expect_size=\"37879808\"] \n  13 [size=\"124016640\", alpha=\"0.07\", expect_size=\"37204992\"] \n  14 [size=\"87688533\", alpha=\"0.00\", expect_size=\"26306560\"] \n  15 [size=\"148326400\", alpha=\"0.13\", expect_size=\"44497920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42001067\", alpha=\"0.15\", expect_size=\"12600320\"] \n  1 -> 13 [size =\"12600320\"]\n  2 [size=\"138895360\", alpha=\"0.12\", expect_size=\"41668608\"] \n  2 -> 11 [size =\"41668608\"]\n  2 -> 12 [size =\"41668608\"]\n  3 [size=\"23391573\", alpha=\"0.16\", expect_size=\"7017472\"] \n  3 -> 11 [size =\"7017472\"]\n  3 -> 15 [size =\"7017472\"]\n  4 [size=\"64563200\", alpha=\"0.20\", expect_size=\"19368960\"] \n  4 -> 11 [size =\"19368960\"]\n  4 -> 12 [size =\"19368960\"]\n  4 -> 13 [size =\"19368960\"]\n  5 [size=\"61095253\", alpha=\"0.09\", expect_size=\"18328576\"] \n  5 -> 11 [size =\"18328576\"]\n  5 -> 12 [size =\"18328576\"]\n  5 -> 13 [size =\"18328576\"]\n  5 -> 14 [size =\"18328576\"]\n  5 -> 15 [size =\"18328576\"]\n  6 [size=\"159238827\", alpha=\"0.03\", expect_size=\"47771648\"] \n  6 -> 11 [size =\"47771648\"]\n  6 -> 12 [size =\"47771648\"]\n  6 -> 15 [size =\"47771648\"]\n  7 [size=\"152780800\", alpha=\"0.05\", expect_size=\"45834240\"] \n  7 -> 11 [size =\"45834240\"]\n  7 -> 12 [size =\"45834240\"]\n  7 -> 15 [size =\"45834240\"]\n  8 [size=\"125617493\", alpha=\"0.08\", expect_size=\"37685248\"] \n  8 -> 12 [size =\"37685248\"]\n  8 -> 14 [size =\"37685248\"]\n  9 [size=\"134109867\", alpha=\"0.04\", expect_size=\"40232960\"] \n  9 -> 13 [size =\"40232960\"]\n  10 [size=\"28453547\", alpha=\"0.13\", expect_size=\"8536064\"] \n  10 -> 12 [size =\"8536064\"]\n  10 -> 13 [size =\"8536064\"]\n  10 -> 14 [size =\"8536064\"]\n  11 [size=\"139758933\", alpha=\"0.09\", expect_size=\"41927680\"] \n  12 [size=\"98635093\", alpha=\"0.10\", expect_size=\"29590528\"] \n  13 [size=\"32064853\", alpha=\"0.16\", expect_size=\"9619456\"] \n  14 [size=\"156180480\", alpha=\"0.15\", expect_size=\"46854144\"] \n  15 [size=\"154668373\", alpha=\"0.16\", expect_size=\"46400512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63584256\", alpha=\"0.01\", expect_size=\"31792128\"] \n  1 -> 11 [size =\"31792128\"]\n  1 -> 14 [size =\"31792128\"]\n  1 -> 15 [size =\"31792128\"]\n  2 [size=\"51343360\", alpha=\"0.09\", expect_size=\"25671680\"] \n  2 -> 11 [size =\"25671680\"]\n  2 -> 13 [size =\"25671680\"]\n  2 -> 14 [size =\"25671680\"]\n  3 [size=\"100352000\", alpha=\"0.16\", expect_size=\"50176000\"] \n  3 -> 15 [size =\"50176000\"]\n  4 [size=\"84361216\", alpha=\"0.03\", expect_size=\"42180608\"] \n  5 [size=\"34019328\", alpha=\"0.10\", expect_size=\"17009664\"] \n  6 [size=\"75671552\", alpha=\"0.03\", expect_size=\"37835776\"] \n  7 [size=\"17395712\", alpha=\"0.17\", expect_size=\"8697856\"] \n  8 [size=\"85596160\", alpha=\"0.17\", expect_size=\"42798080\"] \n  8 -> 12 [size =\"42798080\"]\n  8 -> 14 [size =\"42798080\"]\n  9 [size=\"92096512\", alpha=\"0.10\", expect_size=\"46048256\"] \n  9 -> 12 [size =\"46048256\"]\n  9 -> 14 [size =\"46048256\"]\n  10 [size=\"10860544\", alpha=\"0.20\", expect_size=\"5430272\"] \n  11 [size=\"100077568\", alpha=\"0.05\", expect_size=\"50038784\"] \n  12 [size=\"103745536\", alpha=\"0.08\", expect_size=\"51872768\"] \n  13 [size=\"52758528\", alpha=\"0.08\", expect_size=\"26379264\"] \n  14 [size=\"35307520\", alpha=\"0.02\", expect_size=\"17653760\"] \n  15 [size=\"48793600\", alpha=\"0.00\", expect_size=\"24396800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43343872\", alpha=\"0.15\", expect_size=\"21671936\"] \n  1 -> 2 [size =\"21671936\"]\n  2 [size=\"45381632\", alpha=\"0.05\", expect_size=\"22690816\"] \n  2 -> 3 [size =\"22690816\"]\n  3 [size=\"40810496\", alpha=\"0.01\", expect_size=\"20405248\"] \n  3 -> 4 [size =\"20405248\"]\n  4 [size=\"48482304\", alpha=\"0.06\", expect_size=\"24241152\"] \n  4 -> 5 [size =\"24241152\"]\n  5 [size=\"62152704\", alpha=\"0.13\", expect_size=\"31076352\"] \n  5 -> 6 [size =\"31076352\"]\n  6 [size=\"103612416\", alpha=\"0.09\", expect_size=\"51806208\"] \n  6 -> 7 [size =\"51806208\"]\n  7 [size=\"72988672\", alpha=\"0.07\", expect_size=\"36494336\"] \n  7 -> 8 [size =\"36494336\"]\n  8 [size=\"62003200\", alpha=\"0.18\", expect_size=\"31001600\"] \n  8 -> 9 [size =\"31001600\"]\n  9 [size=\"21803008\", alpha=\"0.15\", expect_size=\"10901504\"] \n  9 -> 10 [size =\"10901504\"]\n  10 [size=\"33077248\", alpha=\"0.00\", expect_size=\"16538624\"] \n  10 -> 11 [size =\"16538624\"]\n  11 [size=\"56469504\", alpha=\"0.08\", expect_size=\"28234752\"] \n  11 -> 12 [size =\"28234752\"]\n  12 [size=\"31688704\", alpha=\"0.17\", expect_size=\"15844352\"] \n  12 -> 13 [size =\"15844352\"]\n  13 [size=\"54286336\", alpha=\"0.03\", expect_size=\"27143168\"] \n  13 -> 14 [size =\"27143168\"]\n  14 [size=\"60284928\", alpha=\"0.19\", expect_size=\"30142464\"] \n  14 -> 15 [size =\"30142464\"]\n  15 [size=\"89948160\", alpha=\"0.03\", expect_size=\"44974080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115548160\", alpha=\"0.19\", expect_size=\"46219264\"] \n  1 -> 2 [size =\"46219264\"]\n  1 -> 3 [size =\"46219264\"]\n  2 [size=\"104360960\", alpha=\"0.14\", expect_size=\"41744384\"] \n  2 -> 5 [size =\"41744384\"]\n  3 [size=\"43174400\", alpha=\"0.15\", expect_size=\"17269760\"] \n  3 -> 4 [size =\"17269760\"]\n  3 -> 5 [size =\"17269760\"]\n  4 [size=\"100564480\", alpha=\"0.17\", expect_size=\"40225792\"] \n  4 -> 6 [size =\"40225792\"]\n  5 [size=\"61734400\", alpha=\"0.06\", expect_size=\"24693760\"] \n  5 -> 7 [size =\"24693760\"]\n  6 [size=\"53329920\", alpha=\"0.04\", expect_size=\"21331968\"] \n  6 -> 8 [size =\"21331968\"]\n  7 [size=\"61911040\", alpha=\"0.15\", expect_size=\"24764416\"] \n  7 -> 8 [size =\"24764416\"]\n  8 [size=\"94428160\", alpha=\"0.07\", expect_size=\"37771264\"] \n  8 -> 9 [size =\"37771264\"]\n  8 -> 10 [size =\"37771264\"]\n  9 [size=\"67896320\", alpha=\"0.13\", expect_size=\"27158528\"] \n  9 -> 12 [size =\"27158528\"]\n  10 [size=\"46484480\", alpha=\"0.16\", expect_size=\"18593792\"] \n  10 -> 11 [size =\"18593792\"]\n  10 -> 12 [size =\"18593792\"]\n  11 [size=\"126333440\", alpha=\"0.03\", expect_size=\"50533376\"] \n  12 [size=\"118502400\", alpha=\"0.20\", expect_size=\"47400960\"] \n  12 -> 13 [size =\"47400960\"]\n  13 [size=\"85419520\", alpha=\"0.14\", expect_size=\"34167808\"] \n  13 -> 14 [size =\"34167808\"]\n  13 -> 15 [size =\"34167808\"]\n  14 [size=\"56184320\", alpha=\"0.20\", expect_size=\"22473728\"] \n  15 [size=\"40578560\", alpha=\"0.13\", expect_size=\"16231424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101486080\", alpha=\"0.19\", expect_size=\"40594432\"] \n  1 -> 2 [size =\"40594432\"]\n  2 [size=\"94853120\", alpha=\"0.12\", expect_size=\"37941248\"] \n  2 -> 3 [size =\"37941248\"]\n  3 [size=\"44843520\", alpha=\"0.02\", expect_size=\"17937408\"] \n  3 -> 4 [size =\"17937408\"]\n  3 -> 5 [size =\"17937408\"]\n  4 [size=\"71915520\", alpha=\"0.01\", expect_size=\"28766208\"] \n  4 -> 6 [size =\"28766208\"]\n  4 -> 7 [size =\"28766208\"]\n  5 [size=\"73489920\", alpha=\"0.14\", expect_size=\"29395968\"] \n  5 -> 6 [size =\"29395968\"]\n  5 -> 7 [size =\"29395968\"]\n  6 [size=\"26122240\", alpha=\"0.10\", expect_size=\"10448896\"] \n  6 -> 8 [size =\"10448896\"]\n  7 [size=\"115875840\", alpha=\"0.13\", expect_size=\"46350336\"] \n  8 [size=\"47511040\", alpha=\"0.08\", expect_size=\"19004416\"] \n  8 -> 9 [size =\"19004416\"]\n  9 [size=\"122890240\", alpha=\"0.13\", expect_size=\"49156096\"] \n  9 -> 10 [size =\"49156096\"]\n  10 [size=\"31472640\", alpha=\"0.14\", expect_size=\"12589056\"] \n  10 -> 11 [size =\"12589056\"]\n  10 -> 12 [size =\"12589056\"]\n  11 [size=\"15682560\", alpha=\"0.15\", expect_size=\"6273024\"] \n  11 -> 13 [size =\"6273024\"]\n  12 [size=\"127365120\", alpha=\"0.19\", expect_size=\"50946048\"] \n  13 [size=\"77504000\", alpha=\"0.01\", expect_size=\"31001600\"] \n  13 -> 14 [size =\"31001600\"]\n  13 -> 15 [size =\"31001600\"]\n  14 [size=\"87959040\", alpha=\"0.01\", expect_size=\"35183616\"] \n  15 [size=\"94865920\", alpha=\"0.07\", expect_size=\"37946368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66818048\", alpha=\"0.06\", expect_size=\"33409024\"] \n  1 -> 2 [size =\"33409024\"]\n  2 [size=\"12244992\", alpha=\"0.03\", expect_size=\"6122496\"] \n  2 -> 3 [size =\"6122496\"]\n  3 [size=\"23179264\", alpha=\"0.05\", expect_size=\"11589632\"] \n  3 -> 4 [size =\"11589632\"]\n  4 [size=\"35571712\", alpha=\"0.01\", expect_size=\"17785856\"] \n  4 -> 5 [size =\"17785856\"]\n  5 [size=\"29675520\", alpha=\"0.01\", expect_size=\"14837760\"] \n  5 -> 6 [size =\"14837760\"]\n  6 [size=\"72998912\", alpha=\"0.16\", expect_size=\"36499456\"] \n  6 -> 7 [size =\"36499456\"]\n  7 [size=\"24590336\", alpha=\"0.06\", expect_size=\"12295168\"] \n  7 -> 8 [size =\"12295168\"]\n  8 [size=\"43778048\", alpha=\"0.02\", expect_size=\"21889024\"] \n  8 -> 9 [size =\"21889024\"]\n  9 [size=\"81584128\", alpha=\"0.10\", expect_size=\"40792064\"] \n  9 -> 10 [size =\"40792064\"]\n  10 [size=\"42250240\", alpha=\"0.01\", expect_size=\"21125120\"] \n  10 -> 11 [size =\"21125120\"]\n  11 [size=\"12828672\", alpha=\"0.00\", expect_size=\"6414336\"] \n  11 -> 12 [size =\"6414336\"]\n  12 [size=\"42258432\", alpha=\"0.09\", expect_size=\"21129216\"] \n  12 -> 13 [size =\"21129216\"]\n  13 [size=\"57364480\", alpha=\"0.08\", expect_size=\"28682240\"] \n  13 -> 14 [size =\"28682240\"]\n  14 [size=\"83214336\", alpha=\"0.12\", expect_size=\"41607168\"] \n  14 -> 15 [size =\"41607168\"]\n  15 [size=\"88225792\", alpha=\"0.07\", expect_size=\"44112896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98539520\", alpha=\"0.07\", expect_size=\"29561856\"] \n  1 -> 2 [size =\"29561856\"]\n  2 [size=\"81025707\", alpha=\"0.16\", expect_size=\"24307712\"] \n  2 -> 3 [size =\"24307712\"]\n  3 [size=\"55483733\", alpha=\"0.10\", expect_size=\"16645120\"] \n  3 -> 4 [size =\"16645120\"]\n  4 [size=\"52602880\", alpha=\"0.19\", expect_size=\"15780864\"] \n  4 -> 5 [size =\"15780864\"]\n  5 [size=\"31986347\", alpha=\"0.03\", expect_size=\"9595904\"] \n  5 -> 6 [size =\"9595904\"]\n  6 [size=\"79107413\", alpha=\"0.15\", expect_size=\"23732224\"] \n  6 -> 7 [size =\"23732224\"]\n  7 [size=\"172182187\", alpha=\"0.02\", expect_size=\"51654656\"] \n  7 -> 8 [size =\"51654656\"]\n  8 [size=\"37597867\", alpha=\"0.11\", expect_size=\"11279360\"] \n  8 -> 9 [size =\"11279360\"]\n  9 [size=\"117968213\", alpha=\"0.19\", expect_size=\"35390464\"] \n  9 -> 10 [size =\"35390464\"]\n  10 [size=\"103246507\", alpha=\"0.02\", expect_size=\"30973952\"] \n  10 -> 11 [size =\"30973952\"]\n  11 [size=\"130133333\", alpha=\"0.18\", expect_size=\"39040000\"] \n  11 -> 12 [size =\"39040000\"]\n  12 [size=\"26327040\", alpha=\"0.03\", expect_size=\"7898112\"] \n  12 -> 13 [size =\"7898112\"]\n  13 [size=\"152886613\", alpha=\"0.01\", expect_size=\"45865984\"] \n  13 -> 14 [size =\"45865984\"]\n  14 [size=\"76803413\", alpha=\"0.04\", expect_size=\"23041024\"] \n  14 -> 15 [size =\"23041024\"]\n  15 [size=\"72584533\", alpha=\"0.02\", expect_size=\"21775360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64066560\", alpha=\"0.17\", expect_size=\"25626624\"] \n  1 -> 2 [size =\"25626624\"]\n  2 [size=\"46999040\", alpha=\"0.19\", expect_size=\"18799616\"] \n  2 -> 3 [size =\"18799616\"]\n  3 [size=\"53964800\", alpha=\"0.15\", expect_size=\"21585920\"] \n  3 -> 4 [size =\"21585920\"]\n  4 [size=\"34117120\", alpha=\"0.18\", expect_size=\"13646848\"] \n  4 -> 5 [size =\"13646848\"]\n  5 [size=\"128483840\", alpha=\"0.06\", expect_size=\"51393536\"] \n  5 -> 6 [size =\"51393536\"]\n  6 [size=\"27010560\", alpha=\"0.04\", expect_size=\"10804224\"] \n  6 -> 7 [size =\"10804224\"]\n  7 [size=\"109120000\", alpha=\"0.09\", expect_size=\"43648000\"] \n  7 -> 8 [size =\"43648000\"]\n  8 [size=\"60160000\", alpha=\"0.09\", expect_size=\"24064000\"] \n  8 -> 9 [size =\"24064000\"]\n  9 [size=\"15441920\", alpha=\"0.17\", expect_size=\"6176768\"] \n  9 -> 10 [size =\"6176768\"]\n  10 [size=\"42475520\", alpha=\"0.03\", expect_size=\"16990208\"] \n  10 -> 11 [size =\"16990208\"]\n  11 [size=\"60546560\", alpha=\"0.16\", expect_size=\"24218624\"] \n  11 -> 12 [size =\"24218624\"]\n  12 [size=\"44935680\", alpha=\"0.08\", expect_size=\"17974272\"] \n  12 -> 13 [size =\"17974272\"]\n  13 [size=\"38876160\", alpha=\"0.14\", expect_size=\"15550464\"] \n  13 -> 14 [size =\"15550464\"]\n  14 [size=\"128294400\", alpha=\"0.06\", expect_size=\"51317760\"] \n  14 -> 15 [size =\"51317760\"]\n  15 [size=\"115604480\", alpha=\"0.08\", expect_size=\"46241792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52420608\", alpha=\"0.08\", expect_size=\"26210304\"] \n  1 -> 3 [size =\"26210304\"]\n  1 -> 4 [size =\"26210304\"]\n  2 [size=\"17324032\", alpha=\"0.07\", expect_size=\"8662016\"] \n  2 -> 3 [size =\"8662016\"]\n  2 -> 4 [size =\"8662016\"]\n  3 [size=\"67043328\", alpha=\"0.11\", expect_size=\"33521664\"] \n  3 -> 6 [size =\"33521664\"]\n  3 -> 7 [size =\"33521664\"]\n  4 [size=\"88190976\", alpha=\"0.18\", expect_size=\"44095488\"] \n  4 -> 5 [size =\"44095488\"]\n  4 -> 7 [size =\"44095488\"]\n  5 [size=\"57106432\", alpha=\"0.09\", expect_size=\"28553216\"] \n  5 -> 8 [size =\"28553216\"]\n  5 -> 9 [size =\"28553216\"]\n  6 [size=\"59635712\", alpha=\"0.10\", expect_size=\"29817856\"] \n  6 -> 8 [size =\"29817856\"]\n  6 -> 9 [size =\"29817856\"]\n  7 [size=\"52969472\", alpha=\"0.07\", expect_size=\"26484736\"] \n  7 -> 9 [size =\"26484736\"]\n  8 [size=\"33894400\", alpha=\"0.03\", expect_size=\"16947200\"] \n  8 -> 10 [size =\"16947200\"]\n  8 -> 11 [size =\"16947200\"]\n  8 -> 12 [size =\"16947200\"]\n  9 [size=\"37498880\", alpha=\"0.02\", expect_size=\"18749440\"] \n  9 -> 10 [size =\"18749440\"]\n  9 -> 11 [size =\"18749440\"]\n  10 [size=\"67987456\", alpha=\"0.06\", expect_size=\"33993728\"] \n  10 -> 13 [size =\"33993728\"]\n  10 -> 14 [size =\"33993728\"]\n  11 [size=\"64067584\", alpha=\"0.08\", expect_size=\"32033792\"] \n  11 -> 14 [size =\"32033792\"]\n  12 [size=\"103923712\", alpha=\"0.11\", expect_size=\"51961856\"] \n  12 -> 13 [size =\"51961856\"]\n  12 -> 14 [size =\"51961856\"]\n  13 [size=\"43716608\", alpha=\"0.09\", expect_size=\"21858304\"] \n  14 [size=\"96462848\", alpha=\"0.11\", expect_size=\"48231424\"] \n  14 -> 15 [size =\"48231424\"]\n  15 [size=\"85725184\", alpha=\"0.09\", expect_size=\"42862592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86233088\", alpha=\"0.12\", expect_size=\"43116544\"] \n  1 -> 13 [size =\"43116544\"]\n  2 [size=\"13121536\", alpha=\"0.02\", expect_size=\"6560768\"] \n  2 -> 12 [size =\"6560768\"]\n  2 -> 15 [size =\"6560768\"]\n  3 [size=\"79685632\", alpha=\"0.09\", expect_size=\"39842816\"] \n  4 [size=\"15616000\", alpha=\"0.17\", expect_size=\"7808000\"] \n  4 -> 13 [size =\"7808000\"]\n  4 -> 15 [size =\"7808000\"]\n  5 [size=\"70678528\", alpha=\"0.11\", expect_size=\"35339264\"] \n  5 -> 13 [size =\"35339264\"]\n  6 [size=\"95197184\", alpha=\"0.18\", expect_size=\"47598592\"] \n  7 [size=\"66621440\", alpha=\"0.04\", expect_size=\"33310720\"] \n  7 -> 13 [size =\"33310720\"]\n  7 -> 15 [size =\"33310720\"]\n  8 [size=\"10655744\", alpha=\"0.12\", expect_size=\"5327872\"] \n  9 [size=\"40085504\", alpha=\"0.16\", expect_size=\"20042752\"] \n  10 [size=\"49383424\", alpha=\"0.06\", expect_size=\"24691712\"] \n  10 -> 13 [size =\"24691712\"]\n  10 -> 14 [size =\"24691712\"]\n  11 [size=\"71196672\", alpha=\"0.02\", expect_size=\"35598336\"] \n  11 -> 13 [size =\"35598336\"]\n  11 -> 14 [size =\"35598336\"]\n  12 [size=\"35194880\", alpha=\"0.15\", expect_size=\"17597440\"] \n  13 [size=\"44064768\", alpha=\"0.20\", expect_size=\"22032384\"] \n  14 [size=\"86757376\", alpha=\"0.06\", expect_size=\"43378688\"] \n  15 [size=\"74823680\", alpha=\"0.03\", expect_size=\"37411840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49838080\", alpha=\"0.19\", expect_size=\"24919040\"] \n  1 -> 9 [size =\"24919040\"]\n  1 -> 11 [size =\"24919040\"]\n  1 -> 14 [size =\"24919040\"]\n  2 [size=\"48119808\", alpha=\"0.17\", expect_size=\"24059904\"] \n  2 -> 11 [size =\"24059904\"]\n  2 -> 11 [size =\"24059904\"]\n  2 -> 12 [size =\"24059904\"]\n  2 -> 14 [size =\"24059904\"]\n  3 [size=\"46993408\", alpha=\"0.08\", expect_size=\"23496704\"] \n  3 -> 10 [size =\"23496704\"]\n  4 [size=\"66338816\", alpha=\"0.12\", expect_size=\"33169408\"] \n  4 -> 10 [size =\"33169408\"]\n  4 -> 12 [size =\"33169408\"]\n  4 -> 13 [size =\"33169408\"]\n  5 [size=\"36272128\", alpha=\"0.08\", expect_size=\"18136064\"] \n  5 -> 9 [size =\"18136064\"]\n  5 -> 10 [size =\"18136064\"]\n  5 -> 14 [size =\"18136064\"]\n  6 [size=\"16463872\", alpha=\"0.15\", expect_size=\"8231936\"] \n  6 -> 11 [size =\"8231936\"]\n  6 -> 14 [size =\"8231936\"]\n  6 -> 14 [size =\"8231936\"]\n  7 [size=\"63983616\", alpha=\"0.15\", expect_size=\"31991808\"] \n  7 -> 10 [size =\"31991808\"]\n  7 -> 11 [size =\"31991808\"]\n  7 -> 12 [size =\"31991808\"]\n  7 -> 14 [size =\"31991808\"]\n  8 [size=\"67155968\", alpha=\"0.15\", expect_size=\"33577984\"] \n  8 -> 9 [size =\"33577984\"]\n  8 -> 11 [size =\"33577984\"]\n  8 -> 14 [size =\"33577984\"]\n  9 [size=\"82628608\", alpha=\"0.01\", expect_size=\"41314304\"] \n  9 -> 15 [size =\"41314304\"]\n  10 [size=\"65845248\", alpha=\"0.02\", expect_size=\"32922624\"] \n  10 -> 15 [size =\"32922624\"]\n  11 [size=\"104232960\", alpha=\"0.02\", expect_size=\"52116480\"] \n  11 -> 15 [size =\"52116480\"]\n  12 [size=\"101242880\", alpha=\"0.05\", expect_size=\"50621440\"] \n  12 -> 15 [size =\"50621440\"]\n  13 [size=\"86419456\", alpha=\"0.05\", expect_size=\"43209728\"] \n  13 -> 15 [size =\"43209728\"]\n  14 [size=\"27600896\", alpha=\"0.14\", expect_size=\"13800448\"] \n  14 -> 15 [size =\"13800448\"]\n  15 [size=\"86069248\", alpha=\"0.12\", expect_size=\"43034624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97969493\", alpha=\"0.17\", expect_size=\"29390848\"] \n  1 -> 14 [size =\"29390848\"]\n  2 [size=\"81879040\", alpha=\"0.15\", expect_size=\"24563712\"] \n  3 [size=\"88746667\", alpha=\"0.20\", expect_size=\"26624000\"] \n  4 [size=\"48841387\", alpha=\"0.02\", expect_size=\"14652416\"] \n  4 -> 14 [size =\"14652416\"]\n  4 -> 15 [size =\"14652416\"]\n  5 [size=\"112032427\", alpha=\"0.05\", expect_size=\"33609728\"] \n  5 -> 14 [size =\"33609728\"]\n  6 [size=\"167051947\", alpha=\"0.11\", expect_size=\"50115584\"] \n  7 [size=\"155842560\", alpha=\"0.00\", expect_size=\"46752768\"] \n  7 -> 14 [size =\"46752768\"]\n  8 [size=\"171717973\", alpha=\"0.10\", expect_size=\"51515392\"] \n  8 -> 14 [size =\"51515392\"]\n  9 [size=\"40403627\", alpha=\"0.13\", expect_size=\"12121088\"] \n  10 [size=\"121118720\", alpha=\"0.12\", expect_size=\"36335616\"] \n  11 [size=\"23821653\", alpha=\"0.03\", expect_size=\"7146496\"] \n  12 [size=\"157853013\", alpha=\"0.16\", expect_size=\"47355904\"] \n  13 [size=\"121838933\", alpha=\"0.17\", expect_size=\"36551680\"] \n  14 [size=\"119722667\", alpha=\"0.14\", expect_size=\"35916800\"] \n  15 [size=\"131700053\", alpha=\"0.18\", expect_size=\"39510016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78112768\", alpha=\"0.07\", expect_size=\"39056384\"] \n  1 -> 5 [size =\"39056384\"]\n  1 -> 6 [size =\"39056384\"]\n  1 -> 7 [size =\"39056384\"]\n  2 [size=\"44132352\", alpha=\"0.14\", expect_size=\"22066176\"] \n  2 -> 5 [size =\"22066176\"]\n  2 -> 8 [size =\"22066176\"]\n  3 [size=\"57651200\", alpha=\"0.14\", expect_size=\"28825600\"] \n  4 [size=\"73957376\", alpha=\"0.02\", expect_size=\"36978688\"] \n  4 -> 7 [size =\"36978688\"]\n  5 [size=\"21886976\", alpha=\"0.07\", expect_size=\"10943488\"] \n  5 -> 9 [size =\"10943488\"]\n  5 -> 10 [size =\"10943488\"]\n  5 -> 13 [size =\"10943488\"]\n  6 [size=\"44021760\", alpha=\"0.05\", expect_size=\"22010880\"] \n  6 -> 14 [size =\"22010880\"]\n  7 [size=\"48130048\", alpha=\"0.10\", expect_size=\"24065024\"] \n  7 -> 9 [size =\"24065024\"]\n  7 -> 11 [size =\"24065024\"]\n  7 -> 12 [size =\"24065024\"]\n  7 -> 13 [size =\"24065024\"]\n  8 [size=\"97845248\", alpha=\"0.11\", expect_size=\"48922624\"] \n  8 -> 9 [size =\"48922624\"]\n  8 -> 10 [size =\"48922624\"]\n  9 [size=\"40691712\", alpha=\"0.11\", expect_size=\"20345856\"] \n  9 -> 15 [size =\"20345856\"]\n  10 [size=\"55552000\", alpha=\"0.03\", expect_size=\"27776000\"] \n  11 [size=\"73621504\", alpha=\"0.20\", expect_size=\"36810752\"] \n  12 [size=\"10967040\", alpha=\"0.01\", expect_size=\"5483520\"] \n  12 -> 15 [size =\"5483520\"]\n  13 [size=\"78708736\", alpha=\"0.02\", expect_size=\"39354368\"] \n  13 -> 15 [size =\"39354368\"]\n  14 [size=\"49295360\", alpha=\"0.03\", expect_size=\"24647680\"] \n  15 [size=\"58916864\", alpha=\"0.03\", expect_size=\"29458432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63805440\", alpha=\"0.14\", expect_size=\"31902720\"] \n  1 -> 3 [size =\"31902720\"]\n  1 -> 4 [size =\"31902720\"]\n  2 [size=\"47779840\", alpha=\"0.17\", expect_size=\"23889920\"] \n  2 -> 3 [size =\"23889920\"]\n  2 -> 4 [size =\"23889920\"]\n  2 -> 5 [size =\"23889920\"]\n  3 [size=\"57700352\", alpha=\"0.01\", expect_size=\"28850176\"] \n  3 -> 7 [size =\"28850176\"]\n  4 [size=\"60698624\", alpha=\"0.00\", expect_size=\"30349312\"] \n  4 -> 7 [size =\"30349312\"]\n  5 [size=\"78850048\", alpha=\"0.13\", expect_size=\"39425024\"] \n  5 -> 6 [size =\"39425024\"]\n  5 -> 7 [size =\"39425024\"]\n  6 [size=\"94930944\", alpha=\"0.09\", expect_size=\"47465472\"] \n  6 -> 8 [size =\"47465472\"]\n  6 -> 9 [size =\"47465472\"]\n  6 -> 10 [size =\"47465472\"]\n  7 [size=\"103110656\", alpha=\"0.20\", expect_size=\"51555328\"] \n  7 -> 9 [size =\"51555328\"]\n  7 -> 10 [size =\"51555328\"]\n  8 [size=\"99362816\", alpha=\"0.08\", expect_size=\"49681408\"] \n  8 -> 11 [size =\"49681408\"]\n  8 -> 12 [size =\"49681408\"]\n  9 [size=\"84852736\", alpha=\"0.19\", expect_size=\"42426368\"] \n  9 -> 11 [size =\"42426368\"]\n  9 -> 12 [size =\"42426368\"]\n  9 -> 13 [size =\"42426368\"]\n  10 [size=\"11573248\", alpha=\"0.11\", expect_size=\"5786624\"] \n  10 -> 11 [size =\"5786624\"]\n  10 -> 12 [size =\"5786624\"]\n  11 [size=\"39333888\", alpha=\"0.20\", expect_size=\"19666944\"] \n  12 [size=\"103204864\", alpha=\"0.00\", expect_size=\"51602432\"] \n  12 -> 15 [size =\"51602432\"]\n  13 [size=\"88958976\", alpha=\"0.16\", expect_size=\"44479488\"] \n  13 -> 14 [size =\"44479488\"]\n  14 [size=\"95571968\", alpha=\"0.06\", expect_size=\"47785984\"] \n  15 [size=\"96614400\", alpha=\"0.10\", expect_size=\"48307200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128317440\", alpha=\"0.15\", expect_size=\"51326976\"] \n  1 -> 8 [size =\"51326976\"]\n  1 -> 10 [size =\"51326976\"]\n  2 [size=\"46819840\", alpha=\"0.06\", expect_size=\"18727936\"] \n  2 -> 8 [size =\"18727936\"]\n  2 -> 9 [size =\"18727936\"]\n  2 -> 10 [size =\"18727936\"]\n  2 -> 12 [size =\"18727936\"]\n  3 [size=\"20556800\", alpha=\"0.03\", expect_size=\"8222720\"] \n  3 -> 7 [size =\"8222720\"]\n  3 -> 9 [size =\"8222720\"]\n  3 -> 10 [size =\"8222720\"]\n  4 [size=\"107645440\", alpha=\"0.01\", expect_size=\"43058176\"] \n  4 -> 7 [size =\"43058176\"]\n  4 -> 8 [size =\"43058176\"]\n  4 -> 9 [size =\"43058176\"]\n  5 [size=\"66158080\", alpha=\"0.01\", expect_size=\"26463232\"] \n  5 -> 8 [size =\"26463232\"]\n  5 -> 9 [size =\"26463232\"]\n  5 -> 11 [size =\"26463232\"]\n  6 [size=\"25989120\", alpha=\"0.06\", expect_size=\"10395648\"] \n  6 -> 7 [size =\"10395648\"]\n  6 -> 10 [size =\"10395648\"]\n  6 -> 11 [size =\"10395648\"]\n  7 [size=\"72279040\", alpha=\"0.14\", expect_size=\"28911616\"] \n  7 -> 14 [size =\"28911616\"]\n  7 -> 15 [size =\"28911616\"]\n  8 [size=\"64898560\", alpha=\"0.08\", expect_size=\"25959424\"] \n  8 -> 13 [size =\"25959424\"]\n  8 -> 14 [size =\"25959424\"]\n  8 -> 15 [size =\"25959424\"]\n  9 [size=\"111155200\", alpha=\"0.01\", expect_size=\"44462080\"] \n  9 -> 13 [size =\"44462080\"]\n  9 -> 14 [size =\"44462080\"]\n  9 -> 15 [size =\"44462080\"]\n  10 [size=\"15290880\", alpha=\"0.18\", expect_size=\"6116352\"] \n  10 -> 13 [size =\"6116352\"]\n  10 -> 14 [size =\"6116352\"]\n  11 [size=\"113064960\", alpha=\"0.17\", expect_size=\"45225984\"] \n  11 -> 13 [size =\"45225984\"]\n  12 [size=\"81907200\", alpha=\"0.18\", expect_size=\"32762880\"] \n  12 -> 14 [size =\"32762880\"]\n  12 -> 15 [size =\"32762880\"]\n  13 [size=\"115865600\", alpha=\"0.19\", expect_size=\"46346240\"] \n  14 [size=\"18311680\", alpha=\"0.07\", expect_size=\"7324672\"] \n  15 [size=\"24619520\", alpha=\"0.14\", expect_size=\"9847808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21643264\", alpha=\"0.04\", expect_size=\"10821632\"] \n  1 -> 9 [size =\"10821632\"]\n  1 -> 12 [size =\"10821632\"]\n  1 -> 13 [size =\"10821632\"]\n  1 -> 14 [size =\"10821632\"]\n  2 [size=\"11374592\", alpha=\"0.08\", expect_size=\"5687296\"] \n  2 -> 10 [size =\"5687296\"]\n  2 -> 11 [size =\"5687296\"]\n  2 -> 12 [size =\"5687296\"]\n  3 [size=\"79788032\", alpha=\"0.20\", expect_size=\"39894016\"] \n  4 [size=\"67694592\", alpha=\"0.11\", expect_size=\"33847296\"] \n  4 -> 9 [size =\"33847296\"]\n  4 -> 12 [size =\"33847296\"]\n  4 -> 13 [size =\"33847296\"]\n  5 [size=\"92731392\", alpha=\"0.01\", expect_size=\"46365696\"] \n  5 -> 11 [size =\"46365696\"]\n  6 [size=\"104728576\", alpha=\"0.19\", expect_size=\"52364288\"] \n  6 -> 8 [size =\"52364288\"]\n  6 -> 9 [size =\"52364288\"]\n  6 -> 13 [size =\"52364288\"]\n  7 [size=\"68388864\", alpha=\"0.19\", expect_size=\"34194432\"] \n  7 -> 14 [size =\"34194432\"]\n  8 [size=\"95635456\", alpha=\"0.07\", expect_size=\"47817728\"] \n  9 [size=\"31889408\", alpha=\"0.04\", expect_size=\"15944704\"] \n  10 [size=\"34627584\", alpha=\"0.17\", expect_size=\"17313792\"] \n  10 -> 15 [size =\"17313792\"]\n  11 [size=\"75657216\", alpha=\"0.04\", expect_size=\"37828608\"] \n  11 -> 15 [size =\"37828608\"]\n  12 [size=\"92477440\", alpha=\"0.16\", expect_size=\"46238720\"] \n  13 [size=\"35825664\", alpha=\"0.18\", expect_size=\"17912832\"] \n  14 [size=\"35614720\", alpha=\"0.08\", expect_size=\"17807360\"] \n  14 -> 15 [size =\"17807360\"]\n  15 [size=\"86366208\", alpha=\"0.12\", expect_size=\"43183104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102253227\", alpha=\"0.04\", expect_size=\"30675968\"] \n  1 -> 13 [size =\"30675968\"]\n  1 -> 14 [size =\"30675968\"]\n  2 [size=\"114786987\", alpha=\"0.04\", expect_size=\"34436096\"] \n  2 -> 12 [size =\"34436096\"]\n  2 -> 14 [size =\"34436096\"]\n  3 [size=\"18944000\", alpha=\"0.12\", expect_size=\"5683200\"] \n  4 [size=\"67822933\", alpha=\"0.12\", expect_size=\"20346880\"] \n  4 -> 13 [size =\"20346880\"]\n  5 [size=\"20534613\", alpha=\"0.02\", expect_size=\"6160384\"] \n  5 -> 13 [size =\"6160384\"]\n  6 [size=\"32648533\", alpha=\"0.03\", expect_size=\"9794560\"] \n  7 [size=\"34286933\", alpha=\"0.11\", expect_size=\"10286080\"] \n  8 [size=\"48346453\", alpha=\"0.06\", expect_size=\"14503936\"] \n  8 -> 13 [size =\"14503936\"]\n  8 -> 14 [size =\"14503936\"]\n  9 [size=\"135260160\", alpha=\"0.12\", expect_size=\"40578048\"] \n  9 -> 14 [size =\"40578048\"]\n  9 -> 15 [size =\"40578048\"]\n  10 [size=\"143926613\", alpha=\"0.02\", expect_size=\"43177984\"] \n  10 -> 14 [size =\"43177984\"]\n  11 [size=\"67406507\", alpha=\"0.07\", expect_size=\"20221952\"] \n  11 -> 13 [size =\"20221952\"]\n  12 [size=\"97918293\", alpha=\"0.12\", expect_size=\"29375488\"] \n  13 [size=\"133014187\", alpha=\"0.00\", expect_size=\"39904256\"] \n  14 [size=\"67485013\", alpha=\"0.08\", expect_size=\"20245504\"] \n  15 [size=\"161297067\", alpha=\"0.04\", expect_size=\"48389120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59985920\", alpha=\"0.01\", expect_size=\"23994368\"] \n  2 [size=\"66432000\", alpha=\"0.02\", expect_size=\"26572800\"] \n  2 -> 6 [size =\"26572800\"]\n  3 [size=\"80506880\", alpha=\"0.03\", expect_size=\"32202752\"] \n  3 -> 6 [size =\"32202752\"]\n  3 -> 8 [size =\"32202752\"]\n  3 -> 11 [size =\"32202752\"]\n  3 -> 12 [size =\"32202752\"]\n  4 [size=\"96801280\", alpha=\"0.00\", expect_size=\"38720512\"] \n  4 -> 7 [size =\"38720512\"]\n  4 -> 9 [size =\"38720512\"]\n  5 [size=\"96599040\", alpha=\"0.12\", expect_size=\"38639616\"] \n  5 -> 10 [size =\"38639616\"]\n  5 -> 12 [size =\"38639616\"]\n  6 [size=\"103823360\", alpha=\"0.15\", expect_size=\"41529344\"] \n  6 -> 13 [size =\"41529344\"]\n  7 [size=\"51758080\", alpha=\"0.09\", expect_size=\"20703232\"] \n  8 [size=\"50542080\", alpha=\"0.13\", expect_size=\"20216832\"] \n  9 [size=\"13678080\", alpha=\"0.09\", expect_size=\"5471232\"] \n  9 -> 13 [size =\"5471232\"]\n  10 [size=\"38479360\", alpha=\"0.05\", expect_size=\"15391744\"] \n  10 -> 13 [size =\"15391744\"]\n  11 [size=\"114467840\", alpha=\"0.16\", expect_size=\"45787136\"] \n  11 -> 14 [size =\"45787136\"]\n  12 [size=\"121551360\", alpha=\"0.13\", expect_size=\"48620544\"] \n  12 -> 15 [size =\"48620544\"]\n  13 [size=\"17722880\", alpha=\"0.15\", expect_size=\"7089152\"] \n  14 [size=\"34608640\", alpha=\"0.19\", expect_size=\"13843456\"] \n  15 [size=\"34785280\", alpha=\"0.08\", expect_size=\"13914112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42749440\", alpha=\"0.19\", expect_size=\"17099776\"] \n  1 -> 14 [size =\"17099776\"]\n  2 [size=\"72560640\", alpha=\"0.18\", expect_size=\"29024256\"] \n  2 -> 13 [size =\"29024256\"]\n  2 -> 14 [size =\"29024256\"]\n  2 -> 15 [size =\"29024256\"]\n  3 [size=\"99658240\", alpha=\"0.12\", expect_size=\"39863296\"] \n  3 -> 13 [size =\"39863296\"]\n  3 -> 14 [size =\"39863296\"]\n  4 [size=\"68610560\", alpha=\"0.06\", expect_size=\"27444224\"] \n  4 -> 13 [size =\"27444224\"]\n  4 -> 14 [size =\"27444224\"]\n  4 -> 15 [size =\"27444224\"]\n  5 [size=\"70807040\", alpha=\"0.06\", expect_size=\"28322816\"] \n  5 -> 14 [size =\"28322816\"]\n  5 -> 15 [size =\"28322816\"]\n  6 [size=\"31667200\", alpha=\"0.06\", expect_size=\"12666880\"] \n  6 -> 15 [size =\"12666880\"]\n  6 -> 15 [size =\"12666880\"]\n  7 [size=\"119352320\", alpha=\"0.17\", expect_size=\"47740928\"] \n  7 -> 15 [size =\"47740928\"]\n  8 [size=\"35008000\", alpha=\"0.04\", expect_size=\"14003200\"] \n  8 -> 13 [size =\"14003200\"]\n  8 -> 15 [size =\"14003200\"]\n  9 [size=\"83112960\", alpha=\"0.19\", expect_size=\"33245184\"] \n  10 [size=\"79810560\", alpha=\"0.18\", expect_size=\"31924224\"] \n  10 -> 13 [size =\"31924224\"]\n  11 [size=\"99443200\", alpha=\"0.19\", expect_size=\"39777280\"] \n  12 [size=\"91274240\", alpha=\"0.03\", expect_size=\"36509696\"] \n  12 -> 14 [size =\"36509696\"]\n  13 [size=\"79936000\", alpha=\"0.08\", expect_size=\"31974400\"] \n  14 [size=\"35340800\", alpha=\"0.08\", expect_size=\"14136320\"] \n  15 [size=\"71234560\", alpha=\"0.10\", expect_size=\"28493824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67168256\", alpha=\"0.04\", expect_size=\"33584128\"] \n  2 [size=\"77840384\", alpha=\"0.20\", expect_size=\"38920192\"] \n  2 -> 3 [size =\"38920192\"]\n  3 [size=\"29306880\", alpha=\"0.16\", expect_size=\"14653440\"] \n  3 -> 4 [size =\"14653440\"]\n  4 [size=\"89090048\", alpha=\"0.02\", expect_size=\"44545024\"] \n  4 -> 5 [size =\"44545024\"]\n  4 -> 6 [size =\"44545024\"]\n  5 [size=\"52445184\", alpha=\"0.20\", expect_size=\"26222592\"] \n  5 -> 7 [size =\"26222592\"]\n  6 [size=\"98308096\", alpha=\"0.16\", expect_size=\"49154048\"] \n  6 -> 7 [size =\"49154048\"]\n  7 [size=\"53831680\", alpha=\"0.18\", expect_size=\"26915840\"] \n  7 -> 8 [size =\"26915840\"]\n  7 -> 9 [size =\"26915840\"]\n  8 [size=\"31217664\", alpha=\"0.20\", expect_size=\"15608832\"] \n  9 [size=\"28379136\", alpha=\"0.13\", expect_size=\"14189568\"] \n  9 -> 10 [size =\"14189568\"]\n  10 [size=\"46188544\", alpha=\"0.08\", expect_size=\"23094272\"] \n  10 -> 11 [size =\"23094272\"]\n  10 -> 12 [size =\"23094272\"]\n  11 [size=\"102981632\", alpha=\"0.07\", expect_size=\"51490816\"] \n  11 -> 13 [size =\"51490816\"]\n  11 -> 14 [size =\"51490816\"]\n  12 [size=\"25323520\", alpha=\"0.15\", expect_size=\"12661760\"] \n  12 -> 13 [size =\"12661760\"]\n  12 -> 14 [size =\"12661760\"]\n  13 [size=\"24713216\", alpha=\"0.08\", expect_size=\"12356608\"] \n  13 -> 15 [size =\"12356608\"]\n  14 [size=\"99414016\", alpha=\"0.09\", expect_size=\"49707008\"] \n  14 -> 15 [size =\"49707008\"]\n  15 [size=\"12615680\", alpha=\"0.02\", expect_size=\"6307840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53190656\", alpha=\"0.19\", expect_size=\"26595328\"] \n  2 [size=\"53841920\", alpha=\"0.07\", expect_size=\"26920960\"] \n  2 -> 3 [size =\"26920960\"]\n  3 [size=\"52445184\", alpha=\"0.06\", expect_size=\"26222592\"] \n  3 -> 4 [size =\"26222592\"]\n  4 [size=\"68157440\", alpha=\"0.09\", expect_size=\"34078720\"] \n  4 -> 5 [size =\"34078720\"]\n  5 [size=\"37959680\", alpha=\"0.13\", expect_size=\"18979840\"] \n  5 -> 6 [size =\"18979840\"]\n  6 [size=\"30625792\", alpha=\"0.15\", expect_size=\"15312896\"] \n  6 -> 7 [size =\"15312896\"]\n  7 [size=\"104484864\", alpha=\"0.05\", expect_size=\"52242432\"] \n  7 -> 8 [size =\"52242432\"]\n  7 -> 9 [size =\"52242432\"]\n  8 [size=\"48234496\", alpha=\"0.15\", expect_size=\"24117248\"] \n  8 -> 10 [size =\"24117248\"]\n  8 -> 11 [size =\"24117248\"]\n  9 [size=\"70033408\", alpha=\"0.11\", expect_size=\"35016704\"] \n  9 -> 10 [size =\"35016704\"]\n  10 [size=\"49934336\", alpha=\"0.01\", expect_size=\"24967168\"] \n  10 -> 12 [size =\"24967168\"]\n  11 [size=\"16750592\", alpha=\"0.15\", expect_size=\"8375296\"] \n  12 [size=\"12748800\", alpha=\"0.15\", expect_size=\"6374400\"] \n  12 -> 13 [size =\"6374400\"]\n  13 [size=\"46317568\", alpha=\"0.20\", expect_size=\"23158784\"] \n  13 -> 14 [size =\"23158784\"]\n  13 -> 15 [size =\"23158784\"]\n  14 [size=\"74321920\", alpha=\"0.07\", expect_size=\"37160960\"] \n  15 [size=\"23218176\", alpha=\"0.06\", expect_size=\"11609088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117674667\", alpha=\"0.12\", expect_size=\"35302400\"] \n  2 [size=\"171274240\", alpha=\"0.05\", expect_size=\"51382272\"] \n  2 -> 8 [size =\"51382272\"]\n  2 -> 9 [size =\"51382272\"]\n  2 -> 12 [size =\"51382272\"]\n  3 [size=\"121661440\", alpha=\"0.16\", expect_size=\"36498432\"] \n  3 -> 8 [size =\"36498432\"]\n  3 -> 9 [size =\"36498432\"]\n  3 -> 10 [size =\"36498432\"]\n  4 [size=\"98744320\", alpha=\"0.09\", expect_size=\"29623296\"] \n  4 -> 7 [size =\"29623296\"]\n  4 -> 8 [size =\"29623296\"]\n  4 -> 11 [size =\"29623296\"]\n  4 -> 12 [size =\"29623296\"]\n  5 [size=\"84002133\", alpha=\"0.09\", expect_size=\"25200640\"] \n  5 -> 11 [size =\"25200640\"]\n  6 [size=\"36235947\", alpha=\"0.15\", expect_size=\"10870784\"] \n  6 -> 8 [size =\"10870784\"]\n  6 -> 11 [size =\"10870784\"]\n  7 [size=\"89036800\", alpha=\"0.11\", expect_size=\"26711040\"] \n  7 -> 14 [size =\"26711040\"]\n  8 [size=\"83879253\", alpha=\"0.03\", expect_size=\"25163776\"] \n  8 -> 13 [size =\"25163776\"]\n  8 -> 14 [size =\"25163776\"]\n  9 [size=\"75823787\", alpha=\"0.03\", expect_size=\"22747136\"] \n  9 -> 13 [size =\"22747136\"]\n  9 -> 14 [size =\"22747136\"]\n  10 [size=\"21387947\", alpha=\"0.17\", expect_size=\"6416384\"] \n  10 -> 15 [size =\"6416384\"]\n  11 [size=\"62685867\", alpha=\"0.09\", expect_size=\"18805760\"] \n  11 -> 15 [size =\"18805760\"]\n  12 [size=\"157979307\", alpha=\"0.07\", expect_size=\"47393792\"] \n  13 [size=\"41362773\", alpha=\"0.10\", expect_size=\"12408832\"] \n  14 [size=\"163573760\", alpha=\"0.01\", expect_size=\"49072128\"] \n  15 [size=\"76076373\", alpha=\"0.06\", expect_size=\"22822912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75874987\", alpha=\"0.19\", expect_size=\"22762496\"] \n  2 [size=\"25586347\", alpha=\"0.09\", expect_size=\"7675904\"] \n  2 -> 11 [size =\"7675904\"]\n  2 -> 13 [size =\"7675904\"]\n  3 [size=\"76352853\", alpha=\"0.14\", expect_size=\"22905856\"] \n  3 -> 12 [size =\"22905856\"]\n  3 -> 13 [size =\"22905856\"]\n  4 [size=\"112865280\", alpha=\"0.03\", expect_size=\"33859584\"] \n  4 -> 12 [size =\"33859584\"]\n  4 -> 15 [size =\"33859584\"]\n  5 [size=\"164324693\", alpha=\"0.02\", expect_size=\"49297408\"] \n  5 -> 15 [size =\"49297408\"]\n  6 [size=\"19234133\", alpha=\"0.09\", expect_size=\"5770240\"] \n  6 -> 12 [size =\"5770240\"]\n  6 -> 14 [size =\"5770240\"]\n  6 -> 15 [size =\"5770240\"]\n  7 [size=\"160921600\", alpha=\"0.06\", expect_size=\"48276480\"] \n  7 -> 12 [size =\"48276480\"]\n  7 -> 15 [size =\"48276480\"]\n  8 [size=\"141626027\", alpha=\"0.01\", expect_size=\"42487808\"] \n  9 [size=\"28296533\", alpha=\"0.02\", expect_size=\"8488960\"] \n  9 -> 12 [size =\"8488960\"]\n  9 -> 15 [size =\"8488960\"]\n  10 [size=\"138697387\", alpha=\"0.12\", expect_size=\"41609216\"] \n  11 [size=\"69423787\", alpha=\"0.07\", expect_size=\"20827136\"] \n  12 [size=\"64846507\", alpha=\"0.11\", expect_size=\"19453952\"] \n  13 [size=\"138987520\", alpha=\"0.18\", expect_size=\"41696256\"] \n  14 [size=\"90381653\", alpha=\"0.15\", expect_size=\"27114496\"] \n  15 [size=\"117121707\", alpha=\"0.12\", expect_size=\"35136512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55060480\", alpha=\"0.07\", expect_size=\"27530240\"] \n  1 -> 14 [size =\"27530240\"]\n  1 -> 15 [size =\"27530240\"]\n  2 [size=\"56547328\", alpha=\"0.11\", expect_size=\"28273664\"] \n  2 -> 8 [size =\"28273664\"]\n  2 -> 9 [size =\"28273664\"]\n  2 -> 11 [size =\"28273664\"]\n  2 -> 14 [size =\"28273664\"]\n  2 -> 15 [size =\"28273664\"]\n  3 [size=\"55709696\", alpha=\"0.04\", expect_size=\"27854848\"] \n  3 -> 8 [size =\"27854848\"]\n  3 -> 9 [size =\"27854848\"]\n  3 -> 13 [size =\"27854848\"]\n  3 -> 15 [size =\"27854848\"]\n  4 [size=\"50403328\", alpha=\"0.05\", expect_size=\"25201664\"] \n  4 -> 9 [size =\"25201664\"]\n  4 -> 9 [size =\"25201664\"]\n  4 -> 11 [size =\"25201664\"]\n  4 -> 13 [size =\"25201664\"]\n  5 [size=\"49008640\", alpha=\"0.09\", expect_size=\"24504320\"] \n  5 -> 11 [size =\"24504320\"]\n  5 -> 15 [size =\"24504320\"]\n  6 [size=\"13264896\", alpha=\"0.05\", expect_size=\"6632448\"] \n  6 -> 9 [size =\"6632448\"]\n  6 -> 12 [size =\"6632448\"]\n  6 -> 13 [size =\"6632448\"]\n  7 [size=\"61874176\", alpha=\"0.13\", expect_size=\"30937088\"] \n  7 -> 10 [size =\"30937088\"]\n  7 -> 12 [size =\"30937088\"]\n  8 [size=\"12099584\", alpha=\"0.10\", expect_size=\"6049792\"] \n  9 [size=\"102139904\", alpha=\"0.16\", expect_size=\"51069952\"] \n  10 [size=\"46170112\", alpha=\"0.19\", expect_size=\"23085056\"] \n  11 [size=\"35037184\", alpha=\"0.08\", expect_size=\"17518592\"] \n  12 [size=\"66615296\", alpha=\"0.06\", expect_size=\"33307648\"] \n  13 [size=\"24741888\", alpha=\"0.16\", expect_size=\"12370944\"] \n  14 [size=\"43984896\", alpha=\"0.09\", expect_size=\"21992448\"] \n  15 [size=\"69132288\", alpha=\"0.14\", expect_size=\"34566144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16033792\", alpha=\"0.19\", expect_size=\"8016896\"] \n  1 -> 6 [size =\"8016896\"]\n  1 -> 8 [size =\"8016896\"]\n  1 -> 9 [size =\"8016896\"]\n  1 -> 12 [size =\"8016896\"]\n  2 [size=\"24182784\", alpha=\"0.12\", expect_size=\"12091392\"] \n  2 -> 7 [size =\"12091392\"]\n  2 -> 8 [size =\"12091392\"]\n  2 -> 11 [size =\"12091392\"]\n  3 [size=\"73879552\", alpha=\"0.05\", expect_size=\"36939776\"] \n  3 -> 9 [size =\"36939776\"]\n  3 -> 10 [size =\"36939776\"]\n  4 [size=\"50688000\", alpha=\"0.18\", expect_size=\"25344000\"] \n  4 -> 6 [size =\"25344000\"]\n  5 [size=\"74883072\", alpha=\"0.11\", expect_size=\"37441536\"] \n  5 -> 11 [size =\"37441536\"]\n  5 -> 12 [size =\"37441536\"]\n  6 [size=\"84150272\", alpha=\"0.04\", expect_size=\"42075136\"] \n  6 -> 13 [size =\"42075136\"]\n  6 -> 14 [size =\"42075136\"]\n  7 [size=\"37169152\", alpha=\"0.15\", expect_size=\"18584576\"] \n  7 -> 15 [size =\"18584576\"]\n  8 [size=\"39036928\", alpha=\"0.18\", expect_size=\"19518464\"] \n  8 -> 13 [size =\"19518464\"]\n  9 [size=\"14931968\", alpha=\"0.10\", expect_size=\"7465984\"] \n  9 -> 13 [size =\"7465984\"]\n  9 -> 15 [size =\"7465984\"]\n  10 [size=\"78858240\", alpha=\"0.04\", expect_size=\"39429120\"] \n  10 -> 13 [size =\"39429120\"]\n  10 -> 15 [size =\"39429120\"]\n  11 [size=\"39098368\", alpha=\"0.09\", expect_size=\"19549184\"] \n  12 [size=\"32595968\", alpha=\"0.12\", expect_size=\"16297984\"] \n  13 [size=\"88461312\", alpha=\"0.16\", expect_size=\"44230656\"] \n  14 [size=\"17590272\", alpha=\"0.14\", expect_size=\"8795136\"] \n  15 [size=\"101984256\", alpha=\"0.20\", expect_size=\"50992128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56204800\", alpha=\"0.14\", expect_size=\"22481920\"] \n  1 -> 4 [size =\"22481920\"]\n  1 -> 5 [size =\"22481920\"]\n  2 [size=\"112061440\", alpha=\"0.01\", expect_size=\"44824576\"] \n  3 [size=\"98731520\", alpha=\"0.17\", expect_size=\"39492608\"] \n  3 -> 5 [size =\"39492608\"]\n  4 [size=\"24691200\", alpha=\"0.02\", expect_size=\"9876480\"] \n  4 -> 6 [size =\"9876480\"]\n  4 -> 7 [size =\"9876480\"]\n  5 [size=\"32309760\", alpha=\"0.07\", expect_size=\"12923904\"] \n  5 -> 7 [size =\"12923904\"]\n  6 [size=\"117614080\", alpha=\"0.10\", expect_size=\"47045632\"] \n  7 [size=\"43194880\", alpha=\"0.06\", expect_size=\"17277952\"] \n  7 -> 8 [size =\"17277952\"]\n  7 -> 9 [size =\"17277952\"]\n  8 [size=\"122772480\", alpha=\"0.13\", expect_size=\"49108992\"] \n  8 -> 10 [size =\"49108992\"]\n  8 -> 11 [size =\"49108992\"]\n  8 -> 12 [size =\"49108992\"]\n  9 [size=\"65694720\", alpha=\"0.13\", expect_size=\"26277888\"] \n  10 [size=\"87050240\", alpha=\"0.05\", expect_size=\"34820096\"] \n  10 -> 13 [size =\"34820096\"]\n  10 -> 14 [size =\"34820096\"]\n  10 -> 15 [size =\"34820096\"]\n  11 [size=\"71610880\", alpha=\"0.09\", expect_size=\"28644352\"] \n  11 -> 14 [size =\"28644352\"]\n  12 [size=\"36037120\", alpha=\"0.14\", expect_size=\"14414848\"] \n  12 -> 15 [size =\"14414848\"]\n  13 [size=\"43978240\", alpha=\"0.13\", expect_size=\"17591296\"] \n  14 [size=\"28730880\", alpha=\"0.17\", expect_size=\"11492352\"] \n  15 [size=\"38394880\", alpha=\"0.05\", expect_size=\"15357952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43781120\", alpha=\"0.01\", expect_size=\"17512448\"] \n  2 [size=\"22126080\", alpha=\"0.10\", expect_size=\"8850432\"] \n  2 -> 3 [size =\"8850432\"]\n  3 [size=\"16883200\", alpha=\"0.11\", expect_size=\"6753280\"] \n  3 -> 4 [size =\"6753280\"]\n  3 -> 5 [size =\"6753280\"]\n  4 [size=\"40847360\", alpha=\"0.20\", expect_size=\"16338944\"] \n  4 -> 6 [size =\"16338944\"]\n  5 [size=\"58844160\", alpha=\"0.14\", expect_size=\"23537664\"] \n  6 [size=\"117255680\", alpha=\"0.06\", expect_size=\"46902272\"] \n  6 -> 7 [size =\"46902272\"]\n  7 [size=\"52938240\", alpha=\"0.14\", expect_size=\"21175296\"] \n  7 -> 8 [size =\"21175296\"]\n  7 -> 9 [size =\"21175296\"]\n  8 [size=\"33689600\", alpha=\"0.09\", expect_size=\"13475840\"] \n  8 -> 10 [size =\"13475840\"]\n  9 [size=\"73551360\", alpha=\"0.06\", expect_size=\"29420544\"] \n  9 -> 10 [size =\"29420544\"]\n  9 -> 11 [size =\"29420544\"]\n  10 [size=\"24903680\", alpha=\"0.12\", expect_size=\"9961472\"] \n  10 -> 12 [size =\"9961472\"]\n  11 [size=\"84879360\", alpha=\"0.20\", expect_size=\"33951744\"] \n  11 -> 12 [size =\"33951744\"]\n  12 [size=\"88268800\", alpha=\"0.17\", expect_size=\"35307520\"] \n  12 -> 13 [size =\"35307520\"]\n  13 [size=\"31385600\", alpha=\"0.09\", expect_size=\"12554240\"] \n  13 -> 14 [size =\"12554240\"]\n  13 -> 15 [size =\"12554240\"]\n  14 [size=\"96227840\", alpha=\"0.18\", expect_size=\"38491136\"] \n  15 [size=\"95633920\", alpha=\"0.13\", expect_size=\"38253568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79003648\", alpha=\"0.16\", expect_size=\"39501824\"] \n  2 [size=\"46030848\", alpha=\"0.15\", expect_size=\"23015424\"] \n  2 -> 3 [size =\"23015424\"]\n  3 [size=\"88647680\", alpha=\"0.11\", expect_size=\"44323840\"] \n  3 -> 4 [size =\"44323840\"]\n  3 -> 5 [size =\"44323840\"]\n  4 [size=\"95627264\", alpha=\"0.04\", expect_size=\"47813632\"] \n  4 -> 6 [size =\"47813632\"]\n  5 [size=\"75470848\", alpha=\"0.20\", expect_size=\"37735424\"] \n  5 -> 7 [size =\"37735424\"]\n  6 [size=\"90531840\", alpha=\"0.06\", expect_size=\"45265920\"] \n  6 -> 8 [size =\"45265920\"]\n  6 -> 9 [size =\"45265920\"]\n  6 -> 10 [size =\"45265920\"]\n  7 [size=\"90505216\", alpha=\"0.02\", expect_size=\"45252608\"] \n  7 -> 8 [size =\"45252608\"]\n  7 -> 9 [size =\"45252608\"]\n  7 -> 10 [size =\"45252608\"]\n  8 [size=\"28315648\", alpha=\"0.10\", expect_size=\"14157824\"] \n  8 -> 11 [size =\"14157824\"]\n  9 [size=\"37439488\", alpha=\"0.16\", expect_size=\"18719744\"] \n  9 -> 11 [size =\"18719744\"]\n  10 [size=\"12656640\", alpha=\"0.20\", expect_size=\"6328320\"] \n  10 -> 11 [size =\"6328320\"]\n  10 -> 12 [size =\"6328320\"]\n  11 [size=\"32245760\", alpha=\"0.05\", expect_size=\"16122880\"] \n  11 -> 13 [size =\"16122880\"]\n  11 -> 14 [size =\"16122880\"]\n  12 [size=\"11925504\", alpha=\"0.10\", expect_size=\"5962752\"] \n  12 -> 13 [size =\"5962752\"]\n  13 [size=\"80590848\", alpha=\"0.18\", expect_size=\"40295424\"] \n  14 [size=\"40216576\", alpha=\"0.00\", expect_size=\"20108288\"] \n  14 -> 15 [size =\"20108288\"]\n  15 [size=\"60569600\", alpha=\"0.09\", expect_size=\"30284800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49477120\", alpha=\"0.01\", expect_size=\"19790848\"] \n  2 [size=\"52782080\", alpha=\"0.16\", expect_size=\"21112832\"] \n  2 -> 3 [size =\"21112832\"]\n  3 [size=\"65146880\", alpha=\"0.00\", expect_size=\"26058752\"] \n  3 -> 4 [size =\"26058752\"]\n  3 -> 5 [size =\"26058752\"]\n  4 [size=\"18498560\", alpha=\"0.01\", expect_size=\"7399424\"] \n  4 -> 6 [size =\"7399424\"]\n  5 [size=\"119687680\", alpha=\"0.17\", expect_size=\"47875072\"] \n  6 [size=\"105315840\", alpha=\"0.06\", expect_size=\"42126336\"] \n  6 -> 7 [size =\"42126336\"]\n  7 [size=\"107870720\", alpha=\"0.16\", expect_size=\"43148288\"] \n  7 -> 8 [size =\"43148288\"]\n  8 [size=\"64192000\", alpha=\"0.12\", expect_size=\"25676800\"] \n  8 -> 9 [size =\"25676800\"]\n  8 -> 10 [size =\"25676800\"]\n  9 [size=\"116083200\", alpha=\"0.00\", expect_size=\"46433280\"] \n  10 [size=\"103664640\", alpha=\"0.17\", expect_size=\"41465856\"] \n  10 -> 11 [size =\"41465856\"]\n  11 [size=\"95948800\", alpha=\"0.01\", expect_size=\"38379520\"] \n  11 -> 12 [size =\"38379520\"]\n  11 -> 13 [size =\"38379520\"]\n  12 [size=\"100559360\", alpha=\"0.17\", expect_size=\"40223744\"] \n  13 [size=\"79447040\", alpha=\"0.16\", expect_size=\"31778816\"] \n  13 -> 14 [size =\"31778816\"]\n  13 -> 15 [size =\"31778816\"]\n  14 [size=\"82114560\", alpha=\"0.13\", expect_size=\"32845824\"] \n  15 [size=\"85073920\", alpha=\"0.05\", expect_size=\"34029568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126515200\", alpha=\"0.04\", expect_size=\"37954560\"] \n  1 -> 4 [size =\"37954560\"]\n  2 [size=\"71645867\", alpha=\"0.05\", expect_size=\"21493760\"] \n  2 -> 5 [size =\"21493760\"]\n  3 [size=\"17629867\", alpha=\"0.14\", expect_size=\"5288960\"] \n  3 -> 4 [size =\"5288960\"]\n  4 [size=\"174336000\", alpha=\"0.02\", expect_size=\"52300800\"] \n  4 -> 6 [size =\"52300800\"]\n  4 -> 7 [size =\"52300800\"]\n  5 [size=\"103191893\", alpha=\"0.09\", expect_size=\"30957568\"] \n  5 -> 7 [size =\"30957568\"]\n  6 [size=\"21971627\", alpha=\"0.02\", expect_size=\"6591488\"] \n  6 -> 8 [size =\"6591488\"]\n  7 [size=\"133816320\", alpha=\"0.08\", expect_size=\"40144896\"] \n  7 -> 8 [size =\"40144896\"]\n  7 -> 9 [size =\"40144896\"]\n  8 [size=\"112650240\", alpha=\"0.03\", expect_size=\"33795072\"] \n  8 -> 10 [size =\"33795072\"]\n  9 [size=\"66983253\", alpha=\"0.07\", expect_size=\"20094976\"] \n  9 -> 11 [size =\"20094976\"]\n  10 [size=\"130829653\", alpha=\"0.19\", expect_size=\"39248896\"] \n  10 -> 12 [size =\"39248896\"]\n  10 -> 14 [size =\"39248896\"]\n  11 [size=\"49759573\", alpha=\"0.04\", expect_size=\"14927872\"] \n  11 -> 12 [size =\"14927872\"]\n  11 -> 13 [size =\"14927872\"]\n  11 -> 14 [size =\"14927872\"]\n  12 [size=\"80684373\", alpha=\"0.18\", expect_size=\"24205312\"] \n  13 [size=\"120401920\", alpha=\"0.04\", expect_size=\"36120576\"] \n  14 [size=\"74977280\", alpha=\"0.09\", expect_size=\"22493184\"] \n  14 -> 15 [size =\"22493184\"]\n  15 [size=\"93173760\", alpha=\"0.01\", expect_size=\"27952128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95895552\", alpha=\"0.03\", expect_size=\"47947776\"] \n  1 -> 2 [size =\"47947776\"]\n  2 [size=\"73576448\", alpha=\"0.14\", expect_size=\"36788224\"] \n  2 -> 3 [size =\"36788224\"]\n  3 [size=\"74395648\", alpha=\"0.17\", expect_size=\"37197824\"] \n  3 -> 4 [size =\"37197824\"]\n  4 [size=\"97722368\", alpha=\"0.17\", expect_size=\"48861184\"] \n  4 -> 5 [size =\"48861184\"]\n  5 [size=\"25014272\", alpha=\"0.06\", expect_size=\"12507136\"] \n  5 -> 6 [size =\"12507136\"]\n  6 [size=\"22448128\", alpha=\"0.13\", expect_size=\"11224064\"] \n  6 -> 7 [size =\"11224064\"]\n  7 [size=\"38363136\", alpha=\"0.02\", expect_size=\"19181568\"] \n  7 -> 8 [size =\"19181568\"]\n  8 [size=\"94427136\", alpha=\"0.04\", expect_size=\"47213568\"] \n  8 -> 9 [size =\"47213568\"]\n  9 [size=\"80076800\", alpha=\"0.06\", expect_size=\"40038400\"] \n  9 -> 10 [size =\"40038400\"]\n  10 [size=\"14419968\", alpha=\"0.13\", expect_size=\"7209984\"] \n  10 -> 11 [size =\"7209984\"]\n  11 [size=\"49545216\", alpha=\"0.14\", expect_size=\"24772608\"] \n  11 -> 12 [size =\"24772608\"]\n  12 [size=\"62400512\", alpha=\"0.07\", expect_size=\"31200256\"] \n  12 -> 13 [size =\"31200256\"]\n  13 [size=\"35928064\", alpha=\"0.04\", expect_size=\"17964032\"] \n  13 -> 14 [size =\"17964032\"]\n  14 [size=\"20234240\", alpha=\"0.01\", expect_size=\"10117120\"] \n  14 -> 15 [size =\"10117120\"]\n  15 [size=\"99753984\", alpha=\"0.04\", expect_size=\"49876992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105039360\", alpha=\"0.07\", expect_size=\"42015744\"] \n  1 -> 3 [size =\"42015744\"]\n  2 [size=\"114398720\", alpha=\"0.01\", expect_size=\"45759488\"] \n  2 -> 4 [size =\"45759488\"]\n  3 [size=\"24783360\", alpha=\"0.02\", expect_size=\"9913344\"] \n  3 -> 6 [size =\"9913344\"]\n  4 [size=\"54853120\", alpha=\"0.10\", expect_size=\"21941248\"] \n  4 -> 5 [size =\"21941248\"]\n  5 [size=\"114639360\", alpha=\"0.01\", expect_size=\"45855744\"] \n  5 -> 7 [size =\"45855744\"]\n  6 [size=\"63196160\", alpha=\"0.10\", expect_size=\"25278464\"] \n  6 -> 7 [size =\"25278464\"]\n  6 -> 8 [size =\"25278464\"]\n  6 -> 9 [size =\"25278464\"]\n  7 [size=\"94103040\", alpha=\"0.06\", expect_size=\"37641216\"] \n  8 [size=\"45649920\", alpha=\"0.17\", expect_size=\"18259968\"] \n  8 -> 11 [size =\"18259968\"]\n  9 [size=\"95559680\", alpha=\"0.03\", expect_size=\"38223872\"] \n  9 -> 10 [size =\"38223872\"]\n  10 [size=\"41530880\", alpha=\"0.14\", expect_size=\"16612352\"] \n  10 -> 12 [size =\"16612352\"]\n  11 [size=\"65297920\", alpha=\"0.01\", expect_size=\"26119168\"] \n  11 -> 12 [size =\"26119168\"]\n  11 -> 13 [size =\"26119168\"]\n  11 -> 14 [size =\"26119168\"]\n  12 [size=\"107717120\", alpha=\"0.12\", expect_size=\"43086848\"] \n  13 [size=\"113297920\", alpha=\"0.17\", expect_size=\"45319168\"] \n  13 -> 15 [size =\"45319168\"]\n  14 [size=\"127552000\", alpha=\"0.12\", expect_size=\"51020800\"] \n  15 [size=\"67440640\", alpha=\"0.07\", expect_size=\"26976256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42203136\", alpha=\"0.14\", expect_size=\"21101568\"] \n  1 -> 2 [size =\"21101568\"]\n  1 -> 3 [size =\"21101568\"]\n  2 [size=\"34617344\", alpha=\"0.04\", expect_size=\"17308672\"] \n  2 -> 4 [size =\"17308672\"]\n  3 [size=\"37326848\", alpha=\"0.04\", expect_size=\"18663424\"] \n  3 -> 4 [size =\"18663424\"]\n  4 [size=\"43005952\", alpha=\"0.16\", expect_size=\"21502976\"] \n  4 -> 5 [size =\"21502976\"]\n  4 -> 6 [size =\"21502976\"]\n  5 [size=\"75988992\", alpha=\"0.03\", expect_size=\"37994496\"] \n  6 [size=\"80590848\", alpha=\"0.09\", expect_size=\"40295424\"] \n  6 -> 7 [size =\"40295424\"]\n  6 -> 8 [size =\"40295424\"]\n  7 [size=\"59740160\", alpha=\"0.12\", expect_size=\"29870080\"] \n  8 [size=\"42366976\", alpha=\"0.05\", expect_size=\"21183488\"] \n  8 -> 9 [size =\"21183488\"]\n  8 -> 10 [size =\"21183488\"]\n  9 [size=\"103276544\", alpha=\"0.14\", expect_size=\"51638272\"] \n  9 -> 11 [size =\"51638272\"]\n  10 [size=\"43327488\", alpha=\"0.14\", expect_size=\"21663744\"] \n  10 -> 11 [size =\"21663744\"]\n  11 [size=\"78446592\", alpha=\"0.01\", expect_size=\"39223296\"] \n  11 -> 12 [size =\"39223296\"]\n  12 [size=\"49764352\", alpha=\"0.02\", expect_size=\"24882176\"] \n  12 -> 13 [size =\"24882176\"]\n  13 [size=\"69535744\", alpha=\"0.19\", expect_size=\"34767872\"] \n  13 -> 14 [size =\"34767872\"]\n  14 [size=\"86099968\", alpha=\"0.12\", expect_size=\"43049984\"] \n  14 -> 15 [size =\"43049984\"]\n  15 [size=\"69103616\", alpha=\"0.02\", expect_size=\"34551808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168721067\", alpha=\"0.17\", expect_size=\"50616320\"] \n  1 -> 2 [size =\"50616320\"]\n  2 [size=\"138042027\", alpha=\"0.10\", expect_size=\"41412608\"] \n  2 -> 3 [size =\"41412608\"]\n  3 [size=\"138482347\", alpha=\"0.19\", expect_size=\"41544704\"] \n  3 -> 4 [size =\"41544704\"]\n  4 [size=\"166649173\", alpha=\"0.14\", expect_size=\"49994752\"] \n  4 -> 5 [size =\"49994752\"]\n  5 [size=\"30412800\", alpha=\"0.03\", expect_size=\"9123840\"] \n  5 -> 6 [size =\"9123840\"]\n  6 [size=\"148377600\", alpha=\"0.06\", expect_size=\"44513280\"] \n  6 -> 7 [size =\"44513280\"]\n  7 [size=\"74379947\", alpha=\"0.17\", expect_size=\"22313984\"] \n  7 -> 8 [size =\"22313984\"]\n  8 [size=\"138813440\", alpha=\"0.06\", expect_size=\"41644032\"] \n  8 -> 9 [size =\"41644032\"]\n  9 [size=\"153784320\", alpha=\"0.14\", expect_size=\"46135296\"] \n  9 -> 10 [size =\"46135296\"]\n  10 [size=\"22978560\", alpha=\"0.10\", expect_size=\"6893568\"] \n  10 -> 11 [size =\"6893568\"]\n  11 [size=\"62170453\", alpha=\"0.02\", expect_size=\"18651136\"] \n  11 -> 12 [size =\"18651136\"]\n  12 [size=\"34699947\", alpha=\"0.12\", expect_size=\"10409984\"] \n  12 -> 13 [size =\"10409984\"]\n  13 [size=\"114012160\", alpha=\"0.17\", expect_size=\"34203648\"] \n  13 -> 14 [size =\"34203648\"]\n  14 [size=\"106810027\", alpha=\"0.09\", expect_size=\"32043008\"] \n  14 -> 15 [size =\"32043008\"]\n  15 [size=\"57064107\", alpha=\"0.12\", expect_size=\"17119232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58414080\", alpha=\"0.07\", expect_size=\"23365632\"] \n  1 -> 2 [size =\"23365632\"]\n  2 [size=\"31559680\", alpha=\"0.03\", expect_size=\"12623872\"] \n  2 -> 3 [size =\"12623872\"]\n  3 [size=\"58099200\", alpha=\"0.14\", expect_size=\"23239680\"] \n  3 -> 4 [size =\"23239680\"]\n  4 [size=\"61616640\", alpha=\"0.02\", expect_size=\"24646656\"] \n  4 -> 5 [size =\"24646656\"]\n  5 [size=\"128322560\", alpha=\"0.16\", expect_size=\"51329024\"] \n  5 -> 6 [size =\"51329024\"]\n  6 [size=\"80038400\", alpha=\"0.05\", expect_size=\"32015360\"] \n  6 -> 7 [size =\"32015360\"]\n  7 [size=\"36881920\", alpha=\"0.13\", expect_size=\"14752768\"] \n  7 -> 8 [size =\"14752768\"]\n  8 [size=\"78215680\", alpha=\"0.04\", expect_size=\"31286272\"] \n  8 -> 9 [size =\"31286272\"]\n  9 [size=\"43407360\", alpha=\"0.03\", expect_size=\"17362944\"] \n  9 -> 10 [size =\"17362944\"]\n  10 [size=\"42293760\", alpha=\"0.01\", expect_size=\"16917504\"] \n  10 -> 11 [size =\"16917504\"]\n  11 [size=\"128460800\", alpha=\"0.20\", expect_size=\"51384320\"] \n  11 -> 12 [size =\"51384320\"]\n  12 [size=\"51968000\", alpha=\"0.17\", expect_size=\"20787200\"] \n  12 -> 13 [size =\"20787200\"]\n  13 [size=\"69219840\", alpha=\"0.09\", expect_size=\"27687936\"] \n  13 -> 14 [size =\"27687936\"]\n  14 [size=\"33049600\", alpha=\"0.11\", expect_size=\"13219840\"] \n  14 -> 15 [size =\"13219840\"]\n  15 [size=\"44833280\", alpha=\"0.18\", expect_size=\"17933312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106007040\", alpha=\"0.07\", expect_size=\"42402816\"] \n  1 -> 2 [size =\"42402816\"]\n  2 [size=\"15997440\", alpha=\"0.16\", expect_size=\"6398976\"] \n  2 -> 3 [size =\"6398976\"]\n  3 [size=\"127362560\", alpha=\"0.18\", expect_size=\"50945024\"] \n  3 -> 4 [size =\"50945024\"]\n  4 [size=\"112870400\", alpha=\"0.10\", expect_size=\"45148160\"] \n  4 -> 5 [size =\"45148160\"]\n  5 [size=\"53096960\", alpha=\"0.18\", expect_size=\"21238784\"] \n  5 -> 6 [size =\"21238784\"]\n  6 [size=\"44497920\", alpha=\"0.04\", expect_size=\"17799168\"] \n  6 -> 7 [size =\"17799168\"]\n  7 [size=\"13117440\", alpha=\"0.19\", expect_size=\"5246976\"] \n  7 -> 8 [size =\"5246976\"]\n  8 [size=\"46814720\", alpha=\"0.01\", expect_size=\"18725888\"] \n  8 -> 9 [size =\"18725888\"]\n  9 [size=\"24217600\", alpha=\"0.00\", expect_size=\"9687040\"] \n  9 -> 10 [size =\"9687040\"]\n  10 [size=\"60259840\", alpha=\"0.00\", expect_size=\"24103936\"] \n  10 -> 11 [size =\"24103936\"]\n  11 [size=\"25249280\", alpha=\"0.06\", expect_size=\"10099712\"] \n  11 -> 12 [size =\"10099712\"]\n  12 [size=\"68623360\", alpha=\"0.19\", expect_size=\"27449344\"] \n  12 -> 13 [size =\"27449344\"]\n  13 [size=\"42211840\", alpha=\"0.19\", expect_size=\"16884736\"] \n  13 -> 14 [size =\"16884736\"]\n  14 [size=\"32509440\", alpha=\"0.19\", expect_size=\"13003776\"] \n  14 -> 15 [size =\"13003776\"]\n  15 [size=\"91233280\", alpha=\"0.09\", expect_size=\"36493312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26741760\", alpha=\"0.09\", expect_size=\"10696704\"] \n  1 -> 4 [size =\"10696704\"]\n  1 -> 5 [size =\"10696704\"]\n  1 -> 6 [size =\"10696704\"]\n  2 [size=\"129047040\", alpha=\"0.05\", expect_size=\"51618816\"] \n  2 -> 6 [size =\"51618816\"]\n  3 [size=\"45352960\", alpha=\"0.02\", expect_size=\"18141184\"] \n  3 -> 5 [size =\"18141184\"]\n  4 [size=\"38640640\", alpha=\"0.00\", expect_size=\"15456256\"] \n  5 [size=\"127155200\", alpha=\"0.00\", expect_size=\"50862080\"] \n  5 -> 8 [size =\"50862080\"]\n  6 [size=\"20654080\", alpha=\"0.00\", expect_size=\"8261632\"] \n  6 -> 7 [size =\"8261632\"]\n  6 -> 8 [size =\"8261632\"]\n  7 [size=\"62784000\", alpha=\"0.07\", expect_size=\"25113600\"] \n  7 -> 9 [size =\"25113600\"]\n  8 [size=\"129075200\", alpha=\"0.08\", expect_size=\"51630080\"] \n  8 -> 10 [size =\"51630080\"]\n  9 [size=\"79843840\", alpha=\"0.13\", expect_size=\"31937536\"] \n  9 -> 11 [size =\"31937536\"]\n  9 -> 12 [size =\"31937536\"]\n  10 [size=\"103933440\", alpha=\"0.00\", expect_size=\"41573376\"] \n  10 -> 11 [size =\"41573376\"]\n  10 -> 12 [size =\"41573376\"]\n  11 [size=\"32655360\", alpha=\"0.17\", expect_size=\"13062144\"] \n  11 -> 13 [size =\"13062144\"]\n  11 -> 14 [size =\"13062144\"]\n  12 [size=\"87121920\", alpha=\"0.10\", expect_size=\"34848768\"] \n  12 -> 14 [size =\"34848768\"]\n  13 [size=\"118517760\", alpha=\"0.13\", expect_size=\"47407104\"] \n  13 -> 15 [size =\"47407104\"]\n  14 [size=\"130135040\", alpha=\"0.07\", expect_size=\"52054016\"] \n  15 [size=\"130826240\", alpha=\"0.10\", expect_size=\"52330496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50581504\", alpha=\"0.15\", expect_size=\"25290752\"] \n  1 -> 2 [size =\"25290752\"]\n  2 [size=\"82634752\", alpha=\"0.19\", expect_size=\"41317376\"] \n  2 -> 3 [size =\"41317376\"]\n  3 [size=\"30117888\", alpha=\"0.05\", expect_size=\"15058944\"] \n  3 -> 4 [size =\"15058944\"]\n  4 [size=\"49532928\", alpha=\"0.08\", expect_size=\"24766464\"] \n  4 -> 5 [size =\"24766464\"]\n  5 [size=\"19959808\", alpha=\"0.04\", expect_size=\"9979904\"] \n  5 -> 6 [size =\"9979904\"]\n  6 [size=\"87140352\", alpha=\"0.15\", expect_size=\"43570176\"] \n  6 -> 7 [size =\"43570176\"]\n  7 [size=\"83136512\", alpha=\"0.18\", expect_size=\"41568256\"] \n  7 -> 8 [size =\"41568256\"]\n  8 [size=\"14503936\", alpha=\"0.14\", expect_size=\"7251968\"] \n  8 -> 9 [size =\"7251968\"]\n  9 [size=\"67117056\", alpha=\"0.14\", expect_size=\"33558528\"] \n  9 -> 10 [size =\"33558528\"]\n  10 [size=\"44681216\", alpha=\"0.13\", expect_size=\"22340608\"] \n  10 -> 11 [size =\"22340608\"]\n  11 [size=\"103880704\", alpha=\"0.12\", expect_size=\"51940352\"] \n  11 -> 12 [size =\"51940352\"]\n  12 [size=\"79882240\", alpha=\"0.04\", expect_size=\"39941120\"] \n  12 -> 13 [size =\"39941120\"]\n  13 [size=\"72994816\", alpha=\"0.11\", expect_size=\"36497408\"] \n  13 -> 14 [size =\"36497408\"]\n  14 [size=\"97294336\", alpha=\"0.07\", expect_size=\"48647168\"] \n  14 -> 15 [size =\"48647168\"]\n  15 [size=\"39294976\", alpha=\"0.04\", expect_size=\"19647488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91697152\", alpha=\"0.06\", expect_size=\"45848576\"] \n  1 -> 2 [size =\"45848576\"]\n  2 [size=\"26523648\", alpha=\"0.12\", expect_size=\"13261824\"] \n  2 -> 3 [size =\"13261824\"]\n  3 [size=\"89606144\", alpha=\"0.10\", expect_size=\"44803072\"] \n  3 -> 4 [size =\"44803072\"]\n  4 [size=\"48060416\", alpha=\"0.16\", expect_size=\"24030208\"] \n  4 -> 5 [size =\"24030208\"]\n  5 [size=\"59590656\", alpha=\"0.08\", expect_size=\"29795328\"] \n  5 -> 6 [size =\"29795328\"]\n  6 [size=\"64985088\", alpha=\"0.04\", expect_size=\"32492544\"] \n  6 -> 7 [size =\"32492544\"]\n  7 [size=\"24186880\", alpha=\"0.15\", expect_size=\"12093440\"] \n  7 -> 8 [size =\"12093440\"]\n  8 [size=\"44947456\", alpha=\"0.13\", expect_size=\"22473728\"] \n  8 -> 9 [size =\"22473728\"]\n  9 [size=\"14280704\", alpha=\"0.14\", expect_size=\"7140352\"] \n  9 -> 10 [size =\"7140352\"]\n  10 [size=\"23128064\", alpha=\"0.05\", expect_size=\"11564032\"] \n  10 -> 11 [size =\"11564032\"]\n  11 [size=\"81606656\", alpha=\"0.12\", expect_size=\"40803328\"] \n  11 -> 12 [size =\"40803328\"]\n  12 [size=\"14153728\", alpha=\"0.00\", expect_size=\"7076864\"] \n  12 -> 13 [size =\"7076864\"]\n  13 [size=\"69363712\", alpha=\"0.06\", expect_size=\"34681856\"] \n  13 -> 14 [size =\"34681856\"]\n  14 [size=\"23678976\", alpha=\"0.12\", expect_size=\"11839488\"] \n  14 -> 15 [size =\"11839488\"]\n  15 [size=\"101511168\", alpha=\"0.03\", expect_size=\"50755584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28821504\", alpha=\"0.07\", expect_size=\"14410752\"] \n  1 -> 2 [size =\"14410752\"]\n  2 [size=\"51791872\", alpha=\"0.07\", expect_size=\"25895936\"] \n  2 -> 3 [size =\"25895936\"]\n  3 [size=\"62373888\", alpha=\"0.20\", expect_size=\"31186944\"] \n  3 -> 4 [size =\"31186944\"]\n  4 [size=\"86990848\", alpha=\"0.13\", expect_size=\"43495424\"] \n  4 -> 5 [size =\"43495424\"]\n  5 [size=\"85608448\", alpha=\"0.13\", expect_size=\"42804224\"] \n  5 -> 6 [size =\"42804224\"]\n  6 [size=\"13772800\", alpha=\"0.12\", expect_size=\"6886400\"] \n  6 -> 7 [size =\"6886400\"]\n  7 [size=\"39976960\", alpha=\"0.08\", expect_size=\"19988480\"] \n  7 -> 8 [size =\"19988480\"]\n  8 [size=\"96849920\", alpha=\"0.19\", expect_size=\"48424960\"] \n  8 -> 9 [size =\"48424960\"]\n  9 [size=\"87066624\", alpha=\"0.11\", expect_size=\"43533312\"] \n  9 -> 10 [size =\"43533312\"]\n  10 [size=\"15400960\", alpha=\"0.06\", expect_size=\"7700480\"] \n  10 -> 11 [size =\"7700480\"]\n  11 [size=\"70629376\", alpha=\"0.07\", expect_size=\"35314688\"] \n  11 -> 12 [size =\"35314688\"]\n  12 [size=\"102830080\", alpha=\"0.19\", expect_size=\"51415040\"] \n  12 -> 13 [size =\"51415040\"]\n  13 [size=\"43663360\", alpha=\"0.01\", expect_size=\"21831680\"] \n  13 -> 14 [size =\"21831680\"]\n  14 [size=\"43515904\", alpha=\"0.15\", expect_size=\"21757952\"] \n  14 -> 15 [size =\"21757952\"]\n  15 [size=\"11536384\", alpha=\"0.13\", expect_size=\"5768192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85806080\", alpha=\"0.08\", expect_size=\"34322432\"] \n  1 -> 2 [size =\"34322432\"]\n  2 [size=\"110748160\", alpha=\"0.00\", expect_size=\"44299264\"] \n  2 -> 3 [size =\"44299264\"]\n  3 [size=\"32330240\", alpha=\"0.05\", expect_size=\"12932096\"] \n  3 -> 4 [size =\"12932096\"]\n  4 [size=\"104627200\", alpha=\"0.12\", expect_size=\"41850880\"] \n  4 -> 5 [size =\"41850880\"]\n  5 [size=\"36060160\", alpha=\"0.05\", expect_size=\"14424064\"] \n  5 -> 6 [size =\"14424064\"]\n  6 [size=\"104683520\", alpha=\"0.02\", expect_size=\"41873408\"] \n  6 -> 7 [size =\"41873408\"]\n  7 [size=\"91143680\", alpha=\"0.04\", expect_size=\"36457472\"] \n  7 -> 8 [size =\"36457472\"]\n  8 [size=\"37706240\", alpha=\"0.08\", expect_size=\"15082496\"] \n  8 -> 9 [size =\"15082496\"]\n  9 [size=\"38955520\", alpha=\"0.10\", expect_size=\"15582208\"] \n  9 -> 10 [size =\"15582208\"]\n  10 [size=\"47014400\", alpha=\"0.17\", expect_size=\"18805760\"] \n  10 -> 11 [size =\"18805760\"]\n  11 [size=\"55633920\", alpha=\"0.15\", expect_size=\"22253568\"] \n  11 -> 12 [size =\"22253568\"]\n  12 [size=\"99901440\", alpha=\"0.04\", expect_size=\"39960576\"] \n  12 -> 13 [size =\"39960576\"]\n  13 [size=\"102758400\", alpha=\"0.14\", expect_size=\"41103360\"] \n  13 -> 14 [size =\"41103360\"]\n  14 [size=\"14074880\", alpha=\"0.07\", expect_size=\"5629952\"] \n  14 -> 15 [size =\"5629952\"]\n  15 [size=\"83604480\", alpha=\"0.19\", expect_size=\"33441792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38382933\", alpha=\"0.18\", expect_size=\"11514880\"] \n  1 -> 2 [size =\"11514880\"]\n  1 -> 3 [size =\"11514880\"]\n  2 [size=\"152948053\", alpha=\"0.19\", expect_size=\"45884416\"] \n  2 -> 4 [size =\"45884416\"]\n  3 [size=\"123159893\", alpha=\"0.20\", expect_size=\"36947968\"] \n  3 -> 5 [size =\"36947968\"]\n  4 [size=\"154760533\", alpha=\"0.15\", expect_size=\"46428160\"] \n  4 -> 7 [size =\"46428160\"]\n  5 [size=\"31054507\", alpha=\"0.07\", expect_size=\"9316352\"] \n  5 -> 6 [size =\"9316352\"]\n  6 [size=\"60668587\", alpha=\"0.07\", expect_size=\"18200576\"] \n  6 -> 8 [size =\"18200576\"]\n  7 [size=\"162638507\", alpha=\"0.10\", expect_size=\"48791552\"] \n  7 -> 8 [size =\"48791552\"]\n  8 [size=\"116565333\", alpha=\"0.05\", expect_size=\"34969600\"] \n  8 -> 9 [size =\"34969600\"]\n  9 [size=\"162566827\", alpha=\"0.08\", expect_size=\"48770048\"] \n  9 -> 10 [size =\"48770048\"]\n  10 [size=\"40243200\", alpha=\"0.17\", expect_size=\"12072960\"] \n  10 -> 11 [size =\"12072960\"]\n  11 [size=\"62003200\", alpha=\"0.02\", expect_size=\"18600960\"] \n  11 -> 12 [size =\"18600960\"]\n  11 -> 13 [size =\"18600960\"]\n  12 [size=\"49520640\", alpha=\"0.09\", expect_size=\"14856192\"] \n  13 [size=\"37823147\", alpha=\"0.00\", expect_size=\"11346944\"] \n  13 -> 14 [size =\"11346944\"]\n  14 [size=\"34672640\", alpha=\"0.06\", expect_size=\"10401792\"] \n  14 -> 15 [size =\"10401792\"]\n  15 [size=\"153480533\", alpha=\"0.04\", expect_size=\"46044160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59031040\", alpha=\"0.10\", expect_size=\"23612416\"] \n  1 -> 2 [size =\"23612416\"]\n  2 [size=\"19361280\", alpha=\"0.05\", expect_size=\"7744512\"] \n  2 -> 3 [size =\"7744512\"]\n  2 -> 4 [size =\"7744512\"]\n  3 [size=\"60282880\", alpha=\"0.15\", expect_size=\"24113152\"] \n  3 -> 5 [size =\"24113152\"]\n  4 [size=\"91479040\", alpha=\"0.08\", expect_size=\"36591616\"] \n  4 -> 5 [size =\"36591616\"]\n  5 [size=\"70320640\", alpha=\"0.13\", expect_size=\"28128256\"] \n  5 -> 6 [size =\"28128256\"]\n  5 -> 7 [size =\"28128256\"]\n  6 [size=\"13391360\", alpha=\"0.15\", expect_size=\"5356544\"] \n  6 -> 8 [size =\"5356544\"]\n  7 [size=\"58659840\", alpha=\"0.17\", expect_size=\"23463936\"] \n  8 [size=\"75878400\", alpha=\"0.01\", expect_size=\"30351360\"] \n  8 -> 9 [size =\"30351360\"]\n  8 -> 10 [size =\"30351360\"]\n  9 [size=\"75855360\", alpha=\"0.00\", expect_size=\"30342144\"] \n  9 -> 11 [size =\"30342144\"]\n  10 [size=\"104706560\", alpha=\"0.03\", expect_size=\"41882624\"] \n  10 -> 11 [size =\"41882624\"]\n  11 [size=\"59138560\", alpha=\"0.01\", expect_size=\"23655424\"] \n  11 -> 12 [size =\"23655424\"]\n  11 -> 13 [size =\"23655424\"]\n  12 [size=\"117662720\", alpha=\"0.11\", expect_size=\"47065088\"] \n  12 -> 14 [size =\"47065088\"]\n  13 [size=\"29959680\", alpha=\"0.15\", expect_size=\"11983872\"] \n  13 -> 14 [size =\"11983872\"]\n  14 [size=\"116044800\", alpha=\"0.01\", expect_size=\"46417920\"] \n  14 -> 15 [size =\"46417920\"]\n  15 [size=\"45286400\", alpha=\"0.15\", expect_size=\"18114560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148049920\", alpha=\"0.09\", expect_size=\"44414976\"] \n  1 -> 8 [size =\"44414976\"]\n  1 -> 9 [size =\"44414976\"]\n  1 -> 10 [size =\"44414976\"]\n  1 -> 12 [size =\"44414976\"]\n  1 -> 13 [size =\"44414976\"]\n  1 -> 14 [size =\"44414976\"]\n  2 [size=\"45352960\", alpha=\"0.05\", expect_size=\"13605888\"] \n  2 -> 12 [size =\"13605888\"]\n  2 -> 13 [size =\"13605888\"]\n  3 [size=\"68232533\", alpha=\"0.14\", expect_size=\"20469760\"] \n  3 -> 12 [size =\"20469760\"]\n  4 [size=\"48100693\", alpha=\"0.11\", expect_size=\"14430208\"] \n  4 -> 8 [size =\"14430208\"]\n  4 -> 14 [size =\"14430208\"]\n  5 [size=\"168779093\", alpha=\"0.09\", expect_size=\"50633728\"] \n  5 -> 8 [size =\"50633728\"]\n  5 -> 14 [size =\"50633728\"]\n  6 [size=\"34676053\", alpha=\"0.16\", expect_size=\"10402816\"] \n  6 -> 8 [size =\"10402816\"]\n  6 -> 9 [size =\"10402816\"]\n  6 -> 11 [size =\"10402816\"]\n  6 -> 13 [size =\"10402816\"]\n  6 -> 14 [size =\"10402816\"]\n  7 [size=\"157542400\", alpha=\"0.05\", expect_size=\"47262720\"] \n  7 -> 8 [size =\"47262720\"]\n  7 -> 10 [size =\"47262720\"]\n  8 [size=\"128686080\", alpha=\"0.19\", expect_size=\"38605824\"] \n  8 -> 15 [size =\"38605824\"]\n  9 [size=\"94863360\", alpha=\"0.01\", expect_size=\"28459008\"] \n  9 -> 15 [size =\"28459008\"]\n  10 [size=\"58193920\", alpha=\"0.00\", expect_size=\"17458176\"] \n  11 [size=\"73806507\", alpha=\"0.18\", expect_size=\"22141952\"] \n  11 -> 15 [size =\"22141952\"]\n  12 [size=\"142138027\", alpha=\"0.05\", expect_size=\"42641408\"] \n  13 [size=\"22203733\", alpha=\"0.07\", expect_size=\"6661120\"] \n  13 -> 15 [size =\"6661120\"]\n  14 [size=\"135727787\", alpha=\"0.10\", expect_size=\"40718336\"] \n  14 -> 15 [size =\"40718336\"]\n  15 [size=\"64392533\", alpha=\"0.02\", expect_size=\"19317760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54841344\", alpha=\"0.17\", expect_size=\"27420672\"] \n  1 -> 6 [size =\"27420672\"]\n  1 -> 7 [size =\"27420672\"]\n  1 -> 9 [size =\"27420672\"]\n  1 -> 10 [size =\"27420672\"]\n  1 -> 11 [size =\"27420672\"]\n  2 [size=\"48113664\", alpha=\"0.07\", expect_size=\"24056832\"] \n  2 -> 6 [size =\"24056832\"]\n  2 -> 7 [size =\"24056832\"]\n  2 -> 9 [size =\"24056832\"]\n  2 -> 11 [size =\"24056832\"]\n  2 -> 13 [size =\"24056832\"]\n  3 [size=\"56848384\", alpha=\"0.01\", expect_size=\"28424192\"] \n  3 -> 6 [size =\"28424192\"]\n  3 -> 7 [size =\"28424192\"]\n  3 -> 8 [size =\"28424192\"]\n  3 -> 10 [size =\"28424192\"]\n  3 -> 11 [size =\"28424192\"]\n  4 [size=\"57321472\", alpha=\"0.01\", expect_size=\"28660736\"] \n  4 -> 6 [size =\"28660736\"]\n  4 -> 7 [size =\"28660736\"]\n  4 -> 11 [size =\"28660736\"]\n  4 -> 13 [size =\"28660736\"]\n  5 [size=\"93517824\", alpha=\"0.09\", expect_size=\"46758912\"] \n  5 -> 6 [size =\"46758912\"]\n  5 -> 7 [size =\"46758912\"]\n  5 -> 9 [size =\"46758912\"]\n  5 -> 10 [size =\"46758912\"]\n  5 -> 11 [size =\"46758912\"]\n  5 -> 12 [size =\"46758912\"]\n  6 [size=\"57108480\", alpha=\"0.09\", expect_size=\"28554240\"] \n  7 [size=\"104550400\", alpha=\"0.10\", expect_size=\"52275200\"] \n  7 -> 14 [size =\"52275200\"]\n  8 [size=\"25907200\", alpha=\"0.07\", expect_size=\"12953600\"] \n  8 -> 14 [size =\"12953600\"]\n  8 -> 15 [size =\"12953600\"]\n  9 [size=\"46290944\", alpha=\"0.03\", expect_size=\"23145472\"] \n  10 [size=\"103567360\", alpha=\"0.09\", expect_size=\"51783680\"] \n  11 [size=\"75573248\", alpha=\"0.14\", expect_size=\"37786624\"] \n  11 -> 14 [size =\"37786624\"]\n  12 [size=\"63744000\", alpha=\"0.13\", expect_size=\"31872000\"] \n  13 [size=\"96471040\", alpha=\"0.06\", expect_size=\"48235520\"] \n  14 [size=\"100591616\", alpha=\"0.00\", expect_size=\"50295808\"] \n  15 [size=\"103188480\", alpha=\"0.00\", expect_size=\"51594240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37632000\", alpha=\"0.10\", expect_size=\"18816000\"] \n  1 -> 2 [size =\"18816000\"]\n  2 [size=\"92311552\", alpha=\"0.12\", expect_size=\"46155776\"] \n  2 -> 3 [size =\"46155776\"]\n  3 [size=\"66111488\", alpha=\"0.04\", expect_size=\"33055744\"] \n  3 -> 4 [size =\"33055744\"]\n  4 [size=\"20301824\", alpha=\"0.05\", expect_size=\"10150912\"] \n  4 -> 5 [size =\"10150912\"]\n  5 [size=\"81115136\", alpha=\"0.05\", expect_size=\"40557568\"] \n  5 -> 6 [size =\"40557568\"]\n  6 [size=\"75821056\", alpha=\"0.08\", expect_size=\"37910528\"] \n  6 -> 7 [size =\"37910528\"]\n  7 [size=\"57296896\", alpha=\"0.10\", expect_size=\"28648448\"] \n  7 -> 8 [size =\"28648448\"]\n  8 [size=\"39401472\", alpha=\"0.00\", expect_size=\"19700736\"] \n  8 -> 9 [size =\"19700736\"]\n  9 [size=\"34744320\", alpha=\"0.03\", expect_size=\"17372160\"] \n  9 -> 10 [size =\"17372160\"]\n  10 [size=\"68614144\", alpha=\"0.10\", expect_size=\"34307072\"] \n  10 -> 11 [size =\"34307072\"]\n  11 [size=\"21469184\", alpha=\"0.16\", expect_size=\"10734592\"] \n  11 -> 12 [size =\"10734592\"]\n  12 [size=\"67035136\", alpha=\"0.00\", expect_size=\"33517568\"] \n  12 -> 13 [size =\"33517568\"]\n  13 [size=\"28837888\", alpha=\"0.03\", expect_size=\"14418944\"] \n  13 -> 14 [size =\"14418944\"]\n  14 [size=\"48443392\", alpha=\"0.13\", expect_size=\"24221696\"] \n  14 -> 15 [size =\"24221696\"]\n  15 [size=\"72620032\", alpha=\"0.09\", expect_size=\"36310016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28868608\", alpha=\"0.12\", expect_size=\"14434304\"] \n  1 -> 3 [size =\"14434304\"]\n  2 [size=\"97009664\", alpha=\"0.14\", expect_size=\"48504832\"] \n  2 -> 3 [size =\"48504832\"]\n  3 [size=\"78190592\", alpha=\"0.15\", expect_size=\"39095296\"] \n  3 -> 4 [size =\"39095296\"]\n  4 [size=\"13731840\", alpha=\"0.14\", expect_size=\"6865920\"] \n  4 -> 5 [size =\"6865920\"]\n  4 -> 6 [size =\"6865920\"]\n  5 [size=\"13776896\", alpha=\"0.12\", expect_size=\"6888448\"] \n  5 -> 7 [size =\"6888448\"]\n  6 [size=\"102690816\", alpha=\"0.13\", expect_size=\"51345408\"] \n  6 -> 7 [size =\"51345408\"]\n  6 -> 8 [size =\"51345408\"]\n  7 [size=\"60733440\", alpha=\"0.09\", expect_size=\"30366720\"] \n  7 -> 9 [size =\"30366720\"]\n  8 [size=\"57856000\", alpha=\"0.17\", expect_size=\"28928000\"] \n  8 -> 9 [size =\"28928000\"]\n  9 [size=\"34234368\", alpha=\"0.02\", expect_size=\"17117184\"] \n  9 -> 10 [size =\"17117184\"]\n  10 [size=\"66516992\", alpha=\"0.14\", expect_size=\"33258496\"] \n  10 -> 11 [size =\"33258496\"]\n  11 [size=\"50405376\", alpha=\"0.08\", expect_size=\"25202688\"] \n  11 -> 12 [size =\"25202688\"]\n  11 -> 13 [size =\"25202688\"]\n  12 [size=\"12746752\", alpha=\"0.18\", expect_size=\"6373376\"] \n  12 -> 14 [size =\"6373376\"]\n  13 [size=\"80500736\", alpha=\"0.08\", expect_size=\"40250368\"] \n  13 -> 14 [size =\"40250368\"]\n  13 -> 15 [size =\"40250368\"]\n  14 [size=\"58499072\", alpha=\"0.03\", expect_size=\"29249536\"] \n  15 [size=\"31506432\", alpha=\"0.02\", expect_size=\"15753216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105168213\", alpha=\"0.13\", expect_size=\"31550464\"] \n  1 -> 4 [size =\"31550464\"]\n  1 -> 5 [size =\"31550464\"]\n  2 [size=\"94641493\", alpha=\"0.10\", expect_size=\"28392448\"] \n  2 -> 4 [size =\"28392448\"]\n  3 [size=\"158057813\", alpha=\"0.19\", expect_size=\"47417344\"] \n  4 [size=\"37198507\", alpha=\"0.11\", expect_size=\"11159552\"] \n  4 -> 7 [size =\"11159552\"]\n  5 [size=\"117988693\", alpha=\"0.08\", expect_size=\"35396608\"] \n  5 -> 6 [size =\"35396608\"]\n  6 [size=\"144141653\", alpha=\"0.14\", expect_size=\"43242496\"] \n  6 -> 8 [size =\"43242496\"]\n  6 -> 9 [size =\"43242496\"]\n  7 [size=\"99444053\", alpha=\"0.12\", expect_size=\"29833216\"] \n  7 -> 9 [size =\"29833216\"]\n  8 [size=\"22019413\", alpha=\"0.00\", expect_size=\"6605824\"] \n  8 -> 11 [size =\"6605824\"]\n  8 -> 12 [size =\"6605824\"]\n  9 [size=\"41779200\", alpha=\"0.06\", expect_size=\"12533760\"] \n  9 -> 10 [size =\"12533760\"]\n  9 -> 12 [size =\"12533760\"]\n  10 [size=\"43943253\", alpha=\"0.03\", expect_size=\"13182976\"] \n  10 -> 13 [size =\"13182976\"]\n  11 [size=\"152961707\", alpha=\"0.17\", expect_size=\"45888512\"] \n  11 -> 14 [size =\"45888512\"]\n  11 -> 15 [size =\"45888512\"]\n  12 [size=\"101379413\", alpha=\"0.11\", expect_size=\"30413824\"] \n  12 -> 13 [size =\"30413824\"]\n  12 -> 14 [size =\"30413824\"]\n  12 -> 15 [size =\"30413824\"]\n  13 [size=\"23674880\", alpha=\"0.11\", expect_size=\"7102464\"] \n  14 [size=\"18391040\", alpha=\"0.02\", expect_size=\"5517312\"] \n  15 [size=\"103256747\", alpha=\"0.19\", expect_size=\"30977024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114889387\", alpha=\"0.04\", expect_size=\"34466816\"] \n  1 -> 12 [size =\"34466816\"]\n  1 -> 15 [size =\"34466816\"]\n  2 [size=\"38700373\", alpha=\"0.06\", expect_size=\"11610112\"] \n  2 -> 15 [size =\"11610112\"]\n  3 [size=\"140649813\", alpha=\"0.14\", expect_size=\"42194944\"] \n  3 -> 12 [size =\"42194944\"]\n  3 -> 13 [size =\"42194944\"]\n  3 -> 15 [size =\"42194944\"]\n  4 [size=\"69324800\", alpha=\"0.12\", expect_size=\"20797440\"] \n  4 -> 14 [size =\"20797440\"]\n  5 [size=\"166775467\", alpha=\"0.19\", expect_size=\"50032640\"] \n  5 -> 12 [size =\"50032640\"]\n  5 -> 14 [size =\"50032640\"]\n  6 [size=\"28067840\", alpha=\"0.13\", expect_size=\"8420352\"] \n  6 -> 15 [size =\"8420352\"]\n  7 [size=\"100519253\", alpha=\"0.17\", expect_size=\"30155776\"] \n  7 -> 14 [size =\"30155776\"]\n  8 [size=\"164164267\", alpha=\"0.17\", expect_size=\"49249280\"] \n  8 -> 12 [size =\"49249280\"]\n  9 [size=\"98068480\", alpha=\"0.08\", expect_size=\"29420544\"] \n  9 -> 14 [size =\"29420544\"]\n  9 -> 15 [size =\"29420544\"]\n  10 [size=\"40024747\", alpha=\"0.06\", expect_size=\"12007424\"] \n  10 -> 12 [size =\"12007424\"]\n  10 -> 14 [size =\"12007424\"]\n  10 -> 15 [size =\"12007424\"]\n  11 [size=\"55889920\", alpha=\"0.16\", expect_size=\"16766976\"] \n  11 -> 12 [size =\"16766976\"]\n  11 -> 15 [size =\"16766976\"]\n  12 [size=\"88261973\", alpha=\"0.12\", expect_size=\"26478592\"] \n  13 [size=\"132642133\", alpha=\"0.15\", expect_size=\"39792640\"] \n  14 [size=\"89265493\", alpha=\"0.09\", expect_size=\"26779648\"] \n  15 [size=\"28542293\", alpha=\"0.20\", expect_size=\"8562688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91422720\", alpha=\"0.11\", expect_size=\"36569088\"] \n  1 -> 9 [size =\"36569088\"]\n  1 -> 10 [size =\"36569088\"]\n  2 [size=\"72125440\", alpha=\"0.08\", expect_size=\"28850176\"] \n  3 [size=\"110745600\", alpha=\"0.13\", expect_size=\"44298240\"] \n  3 -> 8 [size =\"44298240\"]\n  4 [size=\"71744000\", alpha=\"0.09\", expect_size=\"28697600\"] \n  4 -> 7 [size =\"28697600\"]\n  4 -> 11 [size =\"28697600\"]\n  5 [size=\"126535680\", alpha=\"0.02\", expect_size=\"50614272\"] \n  5 -> 9 [size =\"50614272\"]\n  6 [size=\"61376000\", alpha=\"0.13\", expect_size=\"24550400\"] \n  6 -> 9 [size =\"24550400\"]\n  7 [size=\"15354880\", alpha=\"0.13\", expect_size=\"6141952\"] \n  7 -> 12 [size =\"6141952\"]\n  8 [size=\"64509440\", alpha=\"0.09\", expect_size=\"25803776\"] \n  8 -> 14 [size =\"25803776\"]\n  9 [size=\"49244160\", alpha=\"0.15\", expect_size=\"19697664\"] \n  9 -> 14 [size =\"19697664\"]\n  10 [size=\"26444800\", alpha=\"0.04\", expect_size=\"10577920\"] \n  10 -> 14 [size =\"10577920\"]\n  10 -> 15 [size =\"10577920\"]\n  11 [size=\"111741440\", alpha=\"0.05\", expect_size=\"44696576\"] \n  11 -> 12 [size =\"44696576\"]\n  11 -> 13 [size =\"44696576\"]\n  11 -> 15 [size =\"44696576\"]\n  12 [size=\"61593600\", alpha=\"0.03\", expect_size=\"24637440\"] \n  13 [size=\"107868160\", alpha=\"0.18\", expect_size=\"43147264\"] \n  14 [size=\"66759680\", alpha=\"0.02\", expect_size=\"26703872\"] \n  15 [size=\"117539840\", alpha=\"0.18\", expect_size=\"47015936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87731200\", alpha=\"0.08\", expect_size=\"35092480\"] \n  1 -> 12 [size =\"35092480\"]\n  2 [size=\"100328960\", alpha=\"0.15\", expect_size=\"40131584\"] \n  2 -> 12 [size =\"40131584\"]\n  2 -> 14 [size =\"40131584\"]\n  3 [size=\"108815360\", alpha=\"0.05\", expect_size=\"43526144\"] \n  3 -> 13 [size =\"43526144\"]\n  3 -> 14 [size =\"43526144\"]\n  3 -> 15 [size =\"43526144\"]\n  4 [size=\"29675520\", alpha=\"0.08\", expect_size=\"11870208\"] \n  4 -> 12 [size =\"11870208\"]\n  4 -> 13 [size =\"11870208\"]\n  4 -> 15 [size =\"11870208\"]\n  5 [size=\"120373760\", alpha=\"0.07\", expect_size=\"48149504\"] \n  5 -> 13 [size =\"48149504\"]\n  6 [size=\"118292480\", alpha=\"0.10\", expect_size=\"47316992\"] \n  6 -> 12 [size =\"47316992\"]\n  6 -> 14 [size =\"47316992\"]\n  7 [size=\"59576320\", alpha=\"0.17\", expect_size=\"23830528\"] \n  7 -> 13 [size =\"23830528\"]\n  7 -> 15 [size =\"23830528\"]\n  8 [size=\"106741760\", alpha=\"0.16\", expect_size=\"42696704\"] \n  9 [size=\"21178880\", alpha=\"0.17\", expect_size=\"8471552\"] \n  9 -> 12 [size =\"8471552\"]\n  10 [size=\"39260160\", alpha=\"0.11\", expect_size=\"15704064\"] \n  10 -> 12 [size =\"15704064\"]\n  10 -> 13 [size =\"15704064\"]\n  11 [size=\"118120960\", alpha=\"0.03\", expect_size=\"47248384\"] \n  11 -> 13 [size =\"47248384\"]\n  11 -> 14 [size =\"47248384\"]\n  12 [size=\"44812800\", alpha=\"0.05\", expect_size=\"17925120\"] \n  13 [size=\"16532480\", alpha=\"0.17\", expect_size=\"6612992\"] \n  14 [size=\"48954880\", alpha=\"0.11\", expect_size=\"19581952\"] \n  15 [size=\"93365760\", alpha=\"0.17\", expect_size=\"37346304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62532267\", alpha=\"0.10\", expect_size=\"18759680\"] \n  1 -> 2 [size =\"18759680\"]\n  2 [size=\"170263893\", alpha=\"0.15\", expect_size=\"51079168\"] \n  2 -> 3 [size =\"51079168\"]\n  2 -> 4 [size =\"51079168\"]\n  3 [size=\"48489813\", alpha=\"0.07\", expect_size=\"14546944\"] \n  3 -> 5 [size =\"14546944\"]\n  4 [size=\"142237013\", alpha=\"0.01\", expect_size=\"42671104\"] \n  4 -> 5 [size =\"42671104\"]\n  5 [size=\"133881173\", alpha=\"0.11\", expect_size=\"40164352\"] \n  5 -> 6 [size =\"40164352\"]\n  6 [size=\"130471253\", alpha=\"0.15\", expect_size=\"39141376\"] \n  6 -> 7 [size =\"39141376\"]\n  6 -> 8 [size =\"39141376\"]\n  7 [size=\"19483307\", alpha=\"0.04\", expect_size=\"5844992\"] \n  7 -> 9 [size =\"5844992\"]\n  8 [size=\"82947413\", alpha=\"0.18\", expect_size=\"24884224\"] \n  8 -> 9 [size =\"24884224\"]\n  8 -> 10 [size =\"24884224\"]\n  9 [size=\"123996160\", alpha=\"0.12\", expect_size=\"37198848\"] \n  10 [size=\"92750507\", alpha=\"0.10\", expect_size=\"27825152\"] \n  10 -> 11 [size =\"27825152\"]\n  11 [size=\"52845227\", alpha=\"0.19\", expect_size=\"15853568\"] \n  11 -> 12 [size =\"15853568\"]\n  11 -> 13 [size =\"15853568\"]\n  12 [size=\"131188053\", alpha=\"0.17\", expect_size=\"39356416\"] \n  12 -> 14 [size =\"39356416\"]\n  12 -> 15 [size =\"39356416\"]\n  13 [size=\"92385280\", alpha=\"0.15\", expect_size=\"27715584\"] \n  13 -> 15 [size =\"27715584\"]\n  14 [size=\"150268587\", alpha=\"0.16\", expect_size=\"45080576\"] \n  15 [size=\"155286187\", alpha=\"0.16\", expect_size=\"46585856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:25 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121456640\", alpha=\"0.07\", expect_size=\"36436992\"] \n  2 [size=\"145346560\", alpha=\"0.12\", expect_size=\"43603968\"] \n  2 -> 8 [size =\"43603968\"]\n  3 [size=\"120971947\", alpha=\"0.02\", expect_size=\"36291584\"] \n  3 -> 6 [size =\"36291584\"]\n  3 -> 8 [size =\"36291584\"]\n  4 [size=\"21408427\", alpha=\"0.15\", expect_size=\"6422528\"] \n  4 -> 7 [size =\"6422528\"]\n  5 [size=\"63061333\", alpha=\"0.09\", expect_size=\"18918400\"] \n  5 -> 7 [size =\"18918400\"]\n  6 [size=\"144063147\", alpha=\"0.18\", expect_size=\"43218944\"] \n  6 -> 9 [size =\"43218944\"]\n  6 -> 10 [size =\"43218944\"]\n  6 -> 11 [size =\"43218944\"]\n  7 [size=\"121668267\", alpha=\"0.07\", expect_size=\"36500480\"] \n  7 -> 11 [size =\"36500480\"]\n  7 -> 12 [size =\"36500480\"]\n  8 [size=\"144462507\", alpha=\"0.19\", expect_size=\"43338752\"] \n  8 -> 13 [size =\"43338752\"]\n  9 [size=\"98529280\", alpha=\"0.02\", expect_size=\"29558784\"] \n  10 [size=\"163061760\", alpha=\"0.10\", expect_size=\"48918528\"] \n  10 -> 15 [size =\"48918528\"]\n  11 [size=\"67126613\", alpha=\"0.09\", expect_size=\"20137984\"] \n  11 -> 14 [size =\"20137984\"]\n  11 -> 15 [size =\"20137984\"]\n  12 [size=\"122825387\", alpha=\"0.11\", expect_size=\"36847616\"] \n  12 -> 14 [size =\"36847616\"]\n  12 -> 15 [size =\"36847616\"]\n  13 [size=\"61310293\", alpha=\"0.00\", expect_size=\"18393088\"] \n  14 [size=\"74489173\", alpha=\"0.17\", expect_size=\"22346752\"] \n  15 [size=\"35150507\", alpha=\"0.11\", expect_size=\"10545152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52544853\", alpha=\"0.17\", expect_size=\"15763456\"] \n  1 -> 6 [size =\"15763456\"]\n  1 -> 8 [size =\"15763456\"]\n  1 -> 9 [size =\"15763456\"]\n  1 -> 10 [size =\"15763456\"]\n  2 [size=\"78230187\", alpha=\"0.17\", expect_size=\"23469056\"] \n  3 [size=\"17838080\", alpha=\"0.09\", expect_size=\"5351424\"] \n  3 -> 10 [size =\"5351424\"]\n  4 [size=\"128228693\", alpha=\"0.07\", expect_size=\"38468608\"] \n  4 -> 8 [size =\"38468608\"]\n  4 -> 10 [size =\"38468608\"]\n  5 [size=\"117254827\", alpha=\"0.14\", expect_size=\"35176448\"] \n  5 -> 7 [size =\"35176448\"]\n  5 -> 9 [size =\"35176448\"]\n  5 -> 10 [size =\"35176448\"]\n  5 -> 11 [size =\"35176448\"]\n  6 [size=\"166891520\", alpha=\"0.15\", expect_size=\"50067456\"] \n  6 -> 15 [size =\"50067456\"]\n  7 [size=\"87760213\", alpha=\"0.13\", expect_size=\"26328064\"] \n  8 [size=\"59163307\", alpha=\"0.12\", expect_size=\"17748992\"] \n  8 -> 15 [size =\"17748992\"]\n  9 [size=\"152893440\", alpha=\"0.15\", expect_size=\"45868032\"] \n  9 -> 14 [size =\"45868032\"]\n  9 -> 15 [size =\"45868032\"]\n  10 [size=\"22101333\", alpha=\"0.10\", expect_size=\"6630400\"] \n  10 -> 12 [size =\"6630400\"]\n  11 [size=\"44267520\", alpha=\"0.01\", expect_size=\"13280256\"] \n  11 -> 13 [size =\"13280256\"]\n  12 [size=\"18698240\", alpha=\"0.05\", expect_size=\"5609472\"] \n  13 [size=\"149456213\", alpha=\"0.12\", expect_size=\"44836864\"] \n  14 [size=\"61511680\", alpha=\"0.04\", expect_size=\"18453504\"] \n  15 [size=\"117562027\", alpha=\"0.19\", expect_size=\"35268608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126163627\", alpha=\"0.10\", expect_size=\"37849088\"] \n  1 -> 7 [size =\"37849088\"]\n  1 -> 8 [size =\"37849088\"]\n  1 -> 9 [size =\"37849088\"]\n  1 -> 12 [size =\"37849088\"]\n  2 [size=\"92767573\", alpha=\"0.15\", expect_size=\"27830272\"] \n  2 -> 7 [size =\"27830272\"]\n  2 -> 9 [size =\"27830272\"]\n  2 -> 11 [size =\"27830272\"]\n  2 -> 12 [size =\"27830272\"]\n  3 [size=\"138222933\", alpha=\"0.19\", expect_size=\"41466880\"] \n  3 -> 8 [size =\"41466880\"]\n  3 -> 9 [size =\"41466880\"]\n  3 -> 11 [size =\"41466880\"]\n  3 -> 12 [size =\"41466880\"]\n  4 [size=\"83828053\", alpha=\"0.07\", expect_size=\"25148416\"] \n  4 -> 7 [size =\"25148416\"]\n  4 -> 8 [size =\"25148416\"]\n  4 -> 9 [size =\"25148416\"]\n  4 -> 10 [size =\"25148416\"]\n  4 -> 11 [size =\"25148416\"]\n  5 [size=\"100829867\", alpha=\"0.00\", expect_size=\"30248960\"] \n  5 -> 9 [size =\"30248960\"]\n  5 -> 10 [size =\"30248960\"]\n  5 -> 11 [size =\"30248960\"]\n  5 -> 12 [size =\"30248960\"]\n  6 [size=\"103959893\", alpha=\"0.10\", expect_size=\"31187968\"] \n  6 -> 7 [size =\"31187968\"]\n  6 -> 8 [size =\"31187968\"]\n  6 -> 9 [size =\"31187968\"]\n  6 -> 12 [size =\"31187968\"]\n  7 [size=\"156518400\", alpha=\"0.15\", expect_size=\"46955520\"] \n  7 -> 14 [size =\"46955520\"]\n  7 -> 15 [size =\"46955520\"]\n  8 [size=\"93487787\", alpha=\"0.15\", expect_size=\"28046336\"] \n  8 -> 13 [size =\"28046336\"]\n  8 -> 14 [size =\"28046336\"]\n  8 -> 15 [size =\"28046336\"]\n  9 [size=\"93405867\", alpha=\"0.05\", expect_size=\"28021760\"] \n  9 -> 14 [size =\"28021760\"]\n  9 -> 15 [size =\"28021760\"]\n  10 [size=\"162123093\", alpha=\"0.04\", expect_size=\"48636928\"] \n  10 -> 15 [size =\"48636928\"]\n  11 [size=\"171072853\", alpha=\"0.01\", expect_size=\"51321856\"] \n  11 -> 13 [size =\"51321856\"]\n  11 -> 14 [size =\"51321856\"]\n  11 -> 15 [size =\"51321856\"]\n  12 [size=\"93904213\", alpha=\"0.04\", expect_size=\"28171264\"] \n  12 -> 14 [size =\"28171264\"]\n  12 -> 15 [size =\"28171264\"]\n  13 [size=\"55992320\", alpha=\"0.01\", expect_size=\"16797696\"] \n  14 [size=\"46503253\", alpha=\"0.17\", expect_size=\"13950976\"] \n  15 [size=\"101014187\", alpha=\"0.13\", expect_size=\"30304256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19453440\", alpha=\"0.13\", expect_size=\"7781376\"] \n  1 -> 4 [size =\"7781376\"]\n  2 [size=\"73533440\", alpha=\"0.08\", expect_size=\"29413376\"] \n  2 -> 3 [size =\"29413376\"]\n  2 -> 5 [size =\"29413376\"]\n  3 [size=\"26624000\", alpha=\"0.16\", expect_size=\"10649600\"] \n  4 [size=\"118768640\", alpha=\"0.16\", expect_size=\"47507456\"] \n  4 -> 6 [size =\"47507456\"]\n  4 -> 7 [size =\"47507456\"]\n  5 [size=\"26583040\", alpha=\"0.14\", expect_size=\"10633216\"] \n  6 [size=\"46021120\", alpha=\"0.07\", expect_size=\"18408448\"] \n  6 -> 10 [size =\"18408448\"]\n  7 [size=\"30988800\", alpha=\"0.07\", expect_size=\"12395520\"] \n  7 -> 8 [size =\"12395520\"]\n  7 -> 9 [size =\"12395520\"]\n  8 [size=\"18490880\", alpha=\"0.13\", expect_size=\"7396352\"] \n  8 -> 12 [size =\"7396352\"]\n  9 [size=\"100459520\", alpha=\"0.08\", expect_size=\"40183808\"] \n  9 -> 11 [size =\"40183808\"]\n  9 -> 12 [size =\"40183808\"]\n  10 [size=\"36840960\", alpha=\"0.11\", expect_size=\"14736384\"] \n  11 [size=\"115543040\", alpha=\"0.01\", expect_size=\"46217216\"] \n  12 [size=\"76633600\", alpha=\"0.08\", expect_size=\"30653440\"] \n  12 -> 13 [size =\"30653440\"]\n  12 -> 14 [size =\"30653440\"]\n  12 -> 15 [size =\"30653440\"]\n  13 [size=\"126108160\", alpha=\"0.17\", expect_size=\"50443264\"] \n  14 [size=\"104243200\", alpha=\"0.14\", expect_size=\"41697280\"] \n  15 [size=\"80145920\", alpha=\"0.09\", expect_size=\"32058368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63758336\", alpha=\"0.00\", expect_size=\"31879168\"] \n  1 -> 12 [size =\"31879168\"]\n  1 -> 13 [size =\"31879168\"]\n  1 -> 13 [size =\"31879168\"]\n  1 -> 15 [size =\"31879168\"]\n  2 [size=\"67760128\", alpha=\"0.12\", expect_size=\"33880064\"] \n  3 [size=\"83974144\", alpha=\"0.08\", expect_size=\"41987072\"] \n  3 -> 12 [size =\"41987072\"]\n  4 [size=\"33144832\", alpha=\"0.11\", expect_size=\"16572416\"] \n  4 -> 12 [size =\"16572416\"]\n  5 [size=\"38221824\", alpha=\"0.14\", expect_size=\"19110912\"] \n  5 -> 12 [size =\"19110912\"]\n  5 -> 14 [size =\"19110912\"]\n  6 [size=\"87801856\", alpha=\"0.11\", expect_size=\"43900928\"] \n  6 -> 11 [size =\"43900928\"]\n  6 -> 14 [size =\"43900928\"]\n  6 -> 15 [size =\"43900928\"]\n  7 [size=\"41136128\", alpha=\"0.09\", expect_size=\"20568064\"] \n  7 -> 11 [size =\"20568064\"]\n  7 -> 14 [size =\"20568064\"]\n  7 -> 15 [size =\"20568064\"]\n  8 [size=\"67676160\", alpha=\"0.10\", expect_size=\"33838080\"] \n  8 -> 11 [size =\"33838080\"]\n  8 -> 13 [size =\"33838080\"]\n  8 -> 14 [size =\"33838080\"]\n  9 [size=\"36915200\", alpha=\"0.11\", expect_size=\"18457600\"] \n  9 -> 11 [size =\"18457600\"]\n  9 -> 14 [size =\"18457600\"]\n  9 -> 15 [size =\"18457600\"]\n  10 [size=\"84338688\", alpha=\"0.18\", expect_size=\"42169344\"] \n  10 -> 11 [size =\"42169344\"]\n  10 -> 12 [size =\"42169344\"]\n  10 -> 13 [size =\"42169344\"]\n  10 -> 15 [size =\"42169344\"]\n  11 [size=\"87547904\", alpha=\"0.03\", expect_size=\"43773952\"] \n  12 [size=\"89012224\", alpha=\"0.19\", expect_size=\"44506112\"] \n  13 [size=\"50239488\", alpha=\"0.02\", expect_size=\"25119744\"] \n  14 [size=\"87080960\", alpha=\"0.11\", expect_size=\"43540480\"] \n  15 [size=\"43737088\", alpha=\"0.07\", expect_size=\"21868544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90890240\", alpha=\"0.01\", expect_size=\"45445120\"] \n  1 -> 3 [size =\"45445120\"]\n  2 [size=\"31367168\", alpha=\"0.06\", expect_size=\"15683584\"] \n  2 -> 3 [size =\"15683584\"]\n  3 [size=\"32774144\", alpha=\"0.07\", expect_size=\"16387072\"] \n  3 -> 4 [size =\"16387072\"]\n  3 -> 5 [size =\"16387072\"]\n  4 [size=\"94455808\", alpha=\"0.10\", expect_size=\"47227904\"] \n  4 -> 6 [size =\"47227904\"]\n  4 -> 7 [size =\"47227904\"]\n  5 [size=\"57618432\", alpha=\"0.17\", expect_size=\"28809216\"] \n  5 -> 6 [size =\"28809216\"]\n  5 -> 7 [size =\"28809216\"]\n  6 [size=\"64698368\", alpha=\"0.04\", expect_size=\"32349184\"] \n  6 -> 8 [size =\"32349184\"]\n  6 -> 9 [size =\"32349184\"]\n  7 [size=\"89116672\", alpha=\"0.09\", expect_size=\"44558336\"] \n  7 -> 8 [size =\"44558336\"]\n  8 [size=\"77619200\", alpha=\"0.16\", expect_size=\"38809600\"] \n  8 -> 10 [size =\"38809600\"]\n  9 [size=\"46716928\", alpha=\"0.14\", expect_size=\"23358464\"] \n  9 -> 11 [size =\"23358464\"]\n  10 [size=\"98801664\", alpha=\"0.07\", expect_size=\"49400832\"] \n  10 -> 12 [size =\"49400832\"]\n  11 [size=\"88778752\", alpha=\"0.05\", expect_size=\"44389376\"] \n  12 [size=\"95281152\", alpha=\"0.18\", expect_size=\"47640576\"] \n  12 -> 13 [size =\"47640576\"]\n  12 -> 14 [size =\"47640576\"]\n  13 [size=\"27631616\", alpha=\"0.10\", expect_size=\"13815808\"] \n  13 -> 15 [size =\"13815808\"]\n  14 [size=\"61149184\", alpha=\"0.08\", expect_size=\"30574592\"] \n  14 -> 15 [size =\"30574592\"]\n  15 [size=\"11925504\", alpha=\"0.16\", expect_size=\"5962752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98024960\", alpha=\"0.10\", expect_size=\"39209984\"] \n  1 -> 5 [size =\"39209984\"]\n  2 [size=\"15493120\", alpha=\"0.08\", expect_size=\"6197248\"] \n  2 -> 4 [size =\"6197248\"]\n  2 -> 5 [size =\"6197248\"]\n  3 [size=\"74736640\", alpha=\"0.05\", expect_size=\"29894656\"] \n  4 [size=\"31221760\", alpha=\"0.18\", expect_size=\"12488704\"] \n  5 [size=\"45414400\", alpha=\"0.12\", expect_size=\"18165760\"] \n  5 -> 6 [size =\"18165760\"]\n  5 -> 7 [size =\"18165760\"]\n  5 -> 8 [size =\"18165760\"]\n  6 [size=\"84472320\", alpha=\"0.02\", expect_size=\"33788928\"] \n  7 [size=\"75624960\", alpha=\"0.13\", expect_size=\"30249984\"] \n  7 -> 9 [size =\"30249984\"]\n  8 [size=\"97994240\", alpha=\"0.11\", expect_size=\"39197696\"] \n  8 -> 10 [size =\"39197696\"]\n  8 -> 11 [size =\"39197696\"]\n  9 [size=\"123717120\", alpha=\"0.15\", expect_size=\"49486848\"] \n  9 -> 13 [size =\"49486848\"]\n  10 [size=\"97346560\", alpha=\"0.10\", expect_size=\"38938624\"] \n  10 -> 13 [size =\"38938624\"]\n  10 -> 14 [size =\"38938624\"]\n  11 [size=\"96391680\", alpha=\"0.15\", expect_size=\"38556672\"] \n  11 -> 12 [size =\"38556672\"]\n  12 [size=\"37744640\", alpha=\"0.04\", expect_size=\"15097856\"] \n  12 -> 15 [size =\"15097856\"]\n  13 [size=\"83809280\", alpha=\"0.19\", expect_size=\"33523712\"] \n  14 [size=\"114936320\", alpha=\"0.08\", expect_size=\"45974528\"] \n  15 [size=\"100881920\", alpha=\"0.12\", expect_size=\"40352768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129583787\", alpha=\"0.07\", expect_size=\"38875136\"] \n  1 -> 3 [size =\"38875136\"]\n  2 [size=\"134686720\", alpha=\"0.16\", expect_size=\"40406016\"] \n  3 [size=\"160150187\", alpha=\"0.11\", expect_size=\"48045056\"] \n  3 -> 4 [size =\"48045056\"]\n  3 -> 5 [size =\"48045056\"]\n  4 [size=\"137314987\", alpha=\"0.14\", expect_size=\"41194496\"] \n  4 -> 6 [size =\"41194496\"]\n  5 [size=\"149073920\", alpha=\"0.08\", expect_size=\"44722176\"] \n  5 -> 6 [size =\"44722176\"]\n  6 [size=\"24374613\", alpha=\"0.12\", expect_size=\"7312384\"] \n  6 -> 7 [size =\"7312384\"]\n  7 [size=\"44605440\", alpha=\"0.12\", expect_size=\"13381632\"] \n  7 -> 8 [size =\"13381632\"]\n  8 [size=\"46892373\", alpha=\"0.16\", expect_size=\"14067712\"] \n  8 -> 9 [size =\"14067712\"]\n  8 -> 10 [size =\"14067712\"]\n  9 [size=\"66140160\", alpha=\"0.15\", expect_size=\"19842048\"] \n  9 -> 11 [size =\"19842048\"]\n  10 [size=\"123187200\", alpha=\"0.19\", expect_size=\"36956160\"] \n  11 [size=\"115554987\", alpha=\"0.05\", expect_size=\"34666496\"] \n  11 -> 12 [size =\"34666496\"]\n  11 -> 13 [size =\"34666496\"]\n  12 [size=\"171656533\", alpha=\"0.07\", expect_size=\"51496960\"] \n  13 [size=\"138792960\", alpha=\"0.10\", expect_size=\"41637888\"] \n  13 -> 14 [size =\"41637888\"]\n  14 [size=\"68468053\", alpha=\"0.04\", expect_size=\"20540416\"] \n  14 -> 15 [size =\"20540416\"]\n  15 [size=\"21050027\", alpha=\"0.14\", expect_size=\"6315008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71088640\", alpha=\"0.10\", expect_size=\"28435456\"] \n  2 [size=\"58004480\", alpha=\"0.19\", expect_size=\"23201792\"] \n  3 [size=\"40399360\", alpha=\"0.20\", expect_size=\"16159744\"] \n  4 [size=\"77516800\", alpha=\"0.19\", expect_size=\"31006720\"] \n  5 [size=\"41405440\", alpha=\"0.03\", expect_size=\"16562176\"] \n  6 [size=\"66135040\", alpha=\"0.08\", expect_size=\"26454016\"] \n  6 -> 13 [size =\"26454016\"]\n  6 -> 14 [size =\"26454016\"]\n  6 -> 15 [size =\"26454016\"]\n  7 [size=\"63050240\", alpha=\"0.02\", expect_size=\"25220096\"] \n  8 [size=\"24791040\", alpha=\"0.07\", expect_size=\"9916416\"] \n  8 -> 13 [size =\"9916416\"]\n  9 [size=\"70612480\", alpha=\"0.06\", expect_size=\"28244992\"] \n  10 [size=\"110888960\", alpha=\"0.01\", expect_size=\"44355584\"] \n  10 -> 13 [size =\"44355584\"]\n  11 [size=\"92736000\", alpha=\"0.18\", expect_size=\"37094400\"] \n  12 [size=\"33374720\", alpha=\"0.01\", expect_size=\"13349888\"] \n  13 [size=\"28672000\", alpha=\"0.18\", expect_size=\"11468800\"] \n  14 [size=\"26191360\", alpha=\"0.11\", expect_size=\"10476544\"] \n  15 [size=\"22676480\", alpha=\"0.01\", expect_size=\"9070592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94756864\", alpha=\"0.07\", expect_size=\"47378432\"] \n  2 [size=\"13944832\", alpha=\"0.07\", expect_size=\"6972416\"] \n  2 -> 5 [size =\"6972416\"]\n  3 [size=\"99229696\", alpha=\"0.15\", expect_size=\"49614848\"] \n  3 -> 4 [size =\"49614848\"]\n  4 [size=\"97634304\", alpha=\"0.20\", expect_size=\"48817152\"] \n  4 -> 6 [size =\"48817152\"]\n  4 -> 8 [size =\"48817152\"]\n  5 [size=\"99946496\", alpha=\"0.01\", expect_size=\"49973248\"] \n  5 -> 7 [size =\"49973248\"]\n  5 -> 8 [size =\"49973248\"]\n  6 [size=\"99973120\", alpha=\"0.07\", expect_size=\"49986560\"] \n  6 -> 9 [size =\"49986560\"]\n  7 [size=\"50982912\", alpha=\"0.08\", expect_size=\"25491456\"] \n  8 [size=\"97163264\", alpha=\"0.19\", expect_size=\"48581632\"] \n  8 -> 10 [size =\"48581632\"]\n  9 [size=\"73220096\", alpha=\"0.03\", expect_size=\"36610048\"] \n  9 -> 11 [size =\"36610048\"]\n  10 [size=\"35301376\", alpha=\"0.10\", expect_size=\"17650688\"] \n  10 -> 12 [size =\"17650688\"]\n  11 [size=\"18677760\", alpha=\"0.11\", expect_size=\"9338880\"] \n  11 -> 13 [size =\"9338880\"]\n  11 -> 14 [size =\"9338880\"]\n  12 [size=\"51163136\", alpha=\"0.01\", expect_size=\"25581568\"] \n  12 -> 15 [size =\"25581568\"]\n  13 [size=\"86265856\", alpha=\"0.02\", expect_size=\"43132928\"] \n  14 [size=\"60366848\", alpha=\"0.13\", expect_size=\"30183424\"] \n  15 [size=\"58562560\", alpha=\"0.17\", expect_size=\"29281280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random15_test/random.15.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:59:26 2019\n// ./daggen --dot -n 15 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85467136\", alpha=\"0.15\", expect_size=\"42733568\"] \n  1 -> 2 [size =\"42733568\"]\n  2 [size=\"12232704\", alpha=\"0.06\", expect_size=\"6116352\"] \n  2 -> 3 [size =\"6116352\"]\n  3 [size=\"90728448\", alpha=\"0.09\", expect_size=\"45364224\"] \n  3 -> 4 [size =\"45364224\"]\n  4 [size=\"67612672\", alpha=\"0.00\", expect_size=\"33806336\"] \n  4 -> 5 [size =\"33806336\"]\n  5 [size=\"56737792\", alpha=\"0.18\", expect_size=\"28368896\"] \n  5 -> 6 [size =\"28368896\"]\n  6 [size=\"57210880\", alpha=\"0.16\", expect_size=\"28605440\"] \n  6 -> 7 [size =\"28605440\"]\n  7 [size=\"104644608\", alpha=\"0.19\", expect_size=\"52322304\"] \n  7 -> 8 [size =\"52322304\"]\n  8 [size=\"102955008\", alpha=\"0.18\", expect_size=\"51477504\"] \n  8 -> 9 [size =\"51477504\"]\n  9 [size=\"79888384\", alpha=\"0.08\", expect_size=\"39944192\"] \n  9 -> 10 [size =\"39944192\"]\n  10 [size=\"18685952\", alpha=\"0.03\", expect_size=\"9342976\"] \n  10 -> 11 [size =\"9342976\"]\n  11 [size=\"36894720\", alpha=\"0.14\", expect_size=\"18447360\"] \n  11 -> 12 [size =\"18447360\"]\n  12 [size=\"14684160\", alpha=\"0.18\", expect_size=\"7342080\"] \n  12 -> 13 [size =\"7342080\"]\n  13 [size=\"40871936\", alpha=\"0.10\", expect_size=\"20435968\"] \n  13 -> 14 [size =\"20435968\"]\n  14 [size=\"82870272\", alpha=\"0.15\", expect_size=\"41435136\"] \n  14 -> 15 [size =\"41435136\"]\n  15 [size=\"85170176\", alpha=\"0.10\", expect_size=\"42585088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78292480\", alpha=\"0.01\", expect_size=\"31316992\"] \n  2 [size=\"80872960\", alpha=\"0.18\", expect_size=\"32349184\"] \n  2 -> 3 [size =\"32349184\"]\n  3 [size=\"72074240\", alpha=\"0.19\", expect_size=\"28829696\"] \n  3 -> 4 [size =\"28829696\"]\n  4 [size=\"84124160\", alpha=\"0.06\", expect_size=\"33649664\"] \n  4 -> 5 [size =\"33649664\"]\n  4 -> 6 [size =\"33649664\"]\n  5 [size=\"101145600\", alpha=\"0.14\", expect_size=\"40458240\"] \n  6 [size=\"126031360\", alpha=\"0.10\", expect_size=\"50412544\"] \n  6 -> 7 [size =\"50412544\"]\n  7 [size=\"27896320\", alpha=\"0.06\", expect_size=\"11158528\"] \n  7 -> 8 [size =\"11158528\"]\n  8 [size=\"70384640\", alpha=\"0.13\", expect_size=\"28153856\"] \n  8 -> 9 [size =\"28153856\"]\n  9 [size=\"98792960\", alpha=\"0.04\", expect_size=\"39517184\"] \n  9 -> 10 [size =\"39517184\"]\n  10 [size=\"95744000\", alpha=\"0.19\", expect_size=\"38297600\"] \n  10 -> 11 [size =\"38297600\"]\n  11 [size=\"41968640\", alpha=\"0.18\", expect_size=\"16787456\"] \n  11 -> 12 [size =\"16787456\"]\n  11 -> 13 [size =\"16787456\"]\n  12 [size=\"46479360\", alpha=\"0.20\", expect_size=\"18591744\"] \n  13 [size=\"37506560\", alpha=\"0.12\", expect_size=\"15002624\"] \n  13 -> 14 [size =\"15002624\"]\n  13 -> 15 [size =\"15002624\"]\n  14 [size=\"28866560\", alpha=\"0.06\", expect_size=\"11546624\"] \n  14 -> 16 [size =\"11546624\"]\n  14 -> 17 [size =\"11546624\"]\n  15 [size=\"61550080\", alpha=\"0.01\", expect_size=\"24620032\"] \n  16 [size=\"28175360\", alpha=\"0.01\", expect_size=\"11270144\"] \n  16 -> 18 [size =\"11270144\"]\n  17 [size=\"88166400\", alpha=\"0.05\", expect_size=\"35266560\"] \n  17 -> 18 [size =\"35266560\"]\n  17 -> 19 [size =\"35266560\"]\n  18 [size=\"125680640\", alpha=\"0.14\", expect_size=\"50272256\"] \n  18 -> 20 [size =\"50272256\"]\n  19 [size=\"85020160\", alpha=\"0.05\", expect_size=\"34008064\"] \n  20 [size=\"105730560\", alpha=\"0.14\", expect_size=\"42292224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15613952\", alpha=\"0.15\", expect_size=\"7806976\"] \n  1 -> 6 [size =\"7806976\"]\n  1 -> 7 [size =\"7806976\"]\n  2 [size=\"27826176\", alpha=\"0.03\", expect_size=\"13913088\"] \n  2 -> 6 [size =\"13913088\"]\n  2 -> 7 [size =\"13913088\"]\n  3 [size=\"17637376\", alpha=\"0.01\", expect_size=\"8818688\"] \n  4 [size=\"45789184\", alpha=\"0.12\", expect_size=\"22894592\"] \n  4 -> 5 [size =\"22894592\"]\n  5 [size=\"99823616\", alpha=\"0.13\", expect_size=\"49911808\"] \n  5 -> 9 [size =\"49911808\"]\n  6 [size=\"76800000\", alpha=\"0.07\", expect_size=\"38400000\"] \n  6 -> 8 [size =\"38400000\"]\n  6 -> 9 [size =\"38400000\"]\n  6 -> 11 [size =\"38400000\"]\n  7 [size=\"73973760\", alpha=\"0.13\", expect_size=\"36986880\"] \n  7 -> 10 [size =\"36986880\"]\n  8 [size=\"68628480\", alpha=\"0.01\", expect_size=\"34314240\"] \n  8 -> 12 [size =\"34314240\"]\n  8 -> 14 [size =\"34314240\"]\n  9 [size=\"32272384\", alpha=\"0.11\", expect_size=\"16136192\"] \n  9 -> 13 [size =\"16136192\"]\n  9 -> 14 [size =\"16136192\"]\n  10 [size=\"12191744\", alpha=\"0.06\", expect_size=\"6095872\"] \n  10 -> 12 [size =\"6095872\"]\n  10 -> 13 [size =\"6095872\"]\n  11 [size=\"27428864\", alpha=\"0.12\", expect_size=\"13714432\"] \n  12 [size=\"98465792\", alpha=\"0.12\", expect_size=\"49232896\"] \n  13 [size=\"20291584\", alpha=\"0.15\", expect_size=\"10145792\"] \n  13 -> 15 [size =\"10145792\"]\n  13 -> 17 [size =\"10145792\"]\n  13 -> 18 [size =\"10145792\"]\n  14 [size=\"23093248\", alpha=\"0.13\", expect_size=\"11546624\"] \n  14 -> 16 [size =\"11546624\"]\n  14 -> 17 [size =\"11546624\"]\n  15 [size=\"79296512\", alpha=\"0.07\", expect_size=\"39648256\"] \n  15 -> 19 [size =\"39648256\"]\n  15 -> 20 [size =\"39648256\"]\n  16 [size=\"44900352\", alpha=\"0.04\", expect_size=\"22450176\"] \n  16 -> 19 [size =\"22450176\"]\n  17 [size=\"76341248\", alpha=\"0.08\", expect_size=\"38170624\"] \n  18 [size=\"43526144\", alpha=\"0.16\", expect_size=\"21763072\"] \n  18 -> 20 [size =\"21763072\"]\n  19 [size=\"49975296\", alpha=\"0.13\", expect_size=\"24987648\"] \n  20 [size=\"102713344\", alpha=\"0.00\", expect_size=\"51356672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87470080\", alpha=\"0.14\", expect_size=\"26241024\"] \n  2 [size=\"157515093\", alpha=\"0.08\", expect_size=\"47254528\"] \n  2 -> 7 [size =\"47254528\"]\n  3 [size=\"20029440\", alpha=\"0.16\", expect_size=\"6008832\"] \n  3 -> 5 [size =\"6008832\"]\n  3 -> 6 [size =\"6008832\"]\n  3 -> 8 [size =\"6008832\"]\n  4 [size=\"148439040\", alpha=\"0.20\", expect_size=\"44531712\"] \n  5 [size=\"171830613\", alpha=\"0.01\", expect_size=\"51549184\"] \n  5 -> 11 [size =\"51549184\"]\n  6 [size=\"116094293\", alpha=\"0.20\", expect_size=\"34828288\"] \n  7 [size=\"121313280\", alpha=\"0.02\", expect_size=\"36393984\"] \n  7 -> 9 [size =\"36393984\"]\n  7 -> 10 [size =\"36393984\"]\n  8 [size=\"130891093\", alpha=\"0.05\", expect_size=\"39267328\"] \n  8 -> 10 [size =\"39267328\"]\n  8 -> 10 [size =\"39267328\"]\n  8 -> 11 [size =\"39267328\"]\n  9 [size=\"60545707\", alpha=\"0.20\", expect_size=\"18163712\"] \n  9 -> 12 [size =\"18163712\"]\n  9 -> 13 [size =\"18163712\"]\n  9 -> 15 [size =\"18163712\"]\n  10 [size=\"85787307\", alpha=\"0.20\", expect_size=\"25736192\"] \n  10 -> 12 [size =\"25736192\"]\n  10 -> 14 [size =\"25736192\"]\n  11 [size=\"71338667\", alpha=\"0.20\", expect_size=\"21401600\"] \n  11 -> 12 [size =\"21401600\"]\n  11 -> 13 [size =\"21401600\"]\n  11 -> 15 [size =\"21401600\"]\n  12 [size=\"24446293\", alpha=\"0.05\", expect_size=\"7333888\"] \n  13 [size=\"85582507\", alpha=\"0.05\", expect_size=\"25674752\"] \n  13 -> 17 [size =\"25674752\"]\n  14 [size=\"57371307\", alpha=\"0.07\", expect_size=\"17211392\"] \n  14 -> 16 [size =\"17211392\"]\n  14 -> 17 [size =\"17211392\"]\n  15 [size=\"53838507\", alpha=\"0.06\", expect_size=\"16151552\"] \n  16 [size=\"58555733\", alpha=\"0.18\", expect_size=\"17566720\"] \n  16 -> 18 [size =\"17566720\"]\n  16 -> 19 [size =\"17566720\"]\n  17 [size=\"58190507\", alpha=\"0.02\", expect_size=\"17457152\"] \n  17 -> 18 [size =\"17457152\"]\n  17 -> 20 [size =\"17457152\"]\n  18 [size=\"77728427\", alpha=\"0.08\", expect_size=\"23318528\"] \n  19 [size=\"116916907\", alpha=\"0.11\", expect_size=\"35075072\"] \n  20 [size=\"114234027\", alpha=\"0.09\", expect_size=\"34270208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75227136\", alpha=\"0.10\", expect_size=\"37613568\"] \n  1 -> 2 [size =\"37613568\"]\n  2 [size=\"81954816\", alpha=\"0.12\", expect_size=\"40977408\"] \n  2 -> 3 [size =\"40977408\"]\n  3 [size=\"34119680\", alpha=\"0.19\", expect_size=\"17059840\"] \n  3 -> 4 [size =\"17059840\"]\n  4 [size=\"27281408\", alpha=\"0.09\", expect_size=\"13640704\"] \n  4 -> 5 [size =\"13640704\"]\n  5 [size=\"19298304\", alpha=\"0.13\", expect_size=\"9649152\"] \n  5 -> 6 [size =\"9649152\"]\n  6 [size=\"104091648\", alpha=\"0.02\", expect_size=\"52045824\"] \n  6 -> 7 [size =\"52045824\"]\n  7 [size=\"95100928\", alpha=\"0.12\", expect_size=\"47550464\"] \n  7 -> 8 [size =\"47550464\"]\n  8 [size=\"72826880\", alpha=\"0.11\", expect_size=\"36413440\"] \n  8 -> 9 [size =\"36413440\"]\n  9 [size=\"31047680\", alpha=\"0.09\", expect_size=\"15523840\"] \n  9 -> 10 [size =\"15523840\"]\n  10 [size=\"53364736\", alpha=\"0.15\", expect_size=\"26682368\"] \n  10 -> 11 [size =\"26682368\"]\n  11 [size=\"76859392\", alpha=\"0.15\", expect_size=\"38429696\"] \n  11 -> 12 [size =\"38429696\"]\n  12 [size=\"31328256\", alpha=\"0.19\", expect_size=\"15664128\"] \n  12 -> 13 [size =\"15664128\"]\n  13 [size=\"87388160\", alpha=\"0.15\", expect_size=\"43694080\"] \n  13 -> 14 [size =\"43694080\"]\n  14 [size=\"81831936\", alpha=\"0.04\", expect_size=\"40915968\"] \n  14 -> 15 [size =\"40915968\"]\n  15 [size=\"29489152\", alpha=\"0.04\", expect_size=\"14744576\"] \n  15 -> 16 [size =\"14744576\"]\n  16 [size=\"90689536\", alpha=\"0.04\", expect_size=\"45344768\"] \n  16 -> 17 [size =\"45344768\"]\n  17 [size=\"101683200\", alpha=\"0.14\", expect_size=\"50841600\"] \n  17 -> 18 [size =\"50841600\"]\n  18 [size=\"63748096\", alpha=\"0.17\", expect_size=\"31874048\"] \n  18 -> 19 [size =\"31874048\"]\n  19 [size=\"19396608\", alpha=\"0.03\", expect_size=\"9698304\"] \n  19 -> 20 [size =\"9698304\"]\n  20 [size=\"61296640\", alpha=\"0.10\", expect_size=\"30648320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57399296\", alpha=\"0.13\", expect_size=\"28699648\"] \n  1 -> 6 [size =\"28699648\"]\n  1 -> 7 [size =\"28699648\"]\n  2 [size=\"37441536\", alpha=\"0.05\", expect_size=\"18720768\"] \n  2 -> 5 [size =\"18720768\"]\n  2 -> 6 [size =\"18720768\"]\n  2 -> 7 [size =\"18720768\"]\n  3 [size=\"25962496\", alpha=\"0.17\", expect_size=\"12981248\"] \n  3 -> 5 [size =\"12981248\"]\n  3 -> 6 [size =\"12981248\"]\n  3 -> 7 [size =\"12981248\"]\n  4 [size=\"67428352\", alpha=\"0.14\", expect_size=\"33714176\"] \n  4 -> 6 [size =\"33714176\"]\n  4 -> 7 [size =\"33714176\"]\n  5 [size=\"64933888\", alpha=\"0.02\", expect_size=\"32466944\"] \n  5 -> 8 [size =\"32466944\"]\n  5 -> 9 [size =\"32466944\"]\n  6 [size=\"50890752\", alpha=\"0.13\", expect_size=\"25445376\"] \n  6 -> 8 [size =\"25445376\"]\n  6 -> 9 [size =\"25445376\"]\n  6 -> 10 [size =\"25445376\"]\n  7 [size=\"15996928\", alpha=\"0.14\", expect_size=\"7998464\"] \n  7 -> 8 [size =\"7998464\"]\n  7 -> 9 [size =\"7998464\"]\n  8 [size=\"23019520\", alpha=\"0.04\", expect_size=\"11509760\"] \n  8 -> 11 [size =\"11509760\"]\n  8 -> 12 [size =\"11509760\"]\n  8 -> 13 [size =\"11509760\"]\n  8 -> 14 [size =\"11509760\"]\n  9 [size=\"91150336\", alpha=\"0.06\", expect_size=\"45575168\"] \n  9 -> 11 [size =\"45575168\"]\n  9 -> 12 [size =\"45575168\"]\n  9 -> 14 [size =\"45575168\"]\n  10 [size=\"76468224\", alpha=\"0.06\", expect_size=\"38234112\"] \n  10 -> 11 [size =\"38234112\"]\n  10 -> 12 [size =\"38234112\"]\n  10 -> 13 [size =\"38234112\"]\n  10 -> 14 [size =\"38234112\"]\n  11 [size=\"47333376\", alpha=\"0.08\", expect_size=\"23666688\"] \n  11 -> 15 [size =\"23666688\"]\n  12 [size=\"14526464\", alpha=\"0.08\", expect_size=\"7263232\"] \n  12 -> 16 [size =\"7263232\"]\n  13 [size=\"36831232\", alpha=\"0.00\", expect_size=\"18415616\"] \n  13 -> 17 [size =\"18415616\"]\n  14 [size=\"21286912\", alpha=\"0.12\", expect_size=\"10643456\"] \n  14 -> 15 [size =\"10643456\"]\n  14 -> 17 [size =\"10643456\"]\n  15 [size=\"88530944\", alpha=\"0.09\", expect_size=\"44265472\"] \n  15 -> 18 [size =\"44265472\"]\n  15 -> 19 [size =\"44265472\"]\n  16 [size=\"99608576\", alpha=\"0.09\", expect_size=\"49804288\"] \n  17 [size=\"64745472\", alpha=\"0.02\", expect_size=\"32372736\"] \n  18 [size=\"38569984\", alpha=\"0.08\", expect_size=\"19284992\"] \n  19 [size=\"56571904\", alpha=\"0.20\", expect_size=\"28285952\"] \n  19 -> 20 [size =\"28285952\"]\n  20 [size=\"84996096\", alpha=\"0.16\", expect_size=\"42498048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106082987\", alpha=\"0.20\", expect_size=\"31824896\"] \n  2 [size=\"116493653\", alpha=\"0.18\", expect_size=\"34948096\"] \n  3 [size=\"108540587\", alpha=\"0.06\", expect_size=\"32562176\"] \n  4 [size=\"63883947\", alpha=\"0.11\", expect_size=\"19165184\"] \n  5 [size=\"57825280\", alpha=\"0.05\", expect_size=\"17347584\"] \n  6 [size=\"167505920\", alpha=\"0.02\", expect_size=\"50251776\"] \n  7 [size=\"78175573\", alpha=\"0.04\", expect_size=\"23452672\"] \n  8 [size=\"145943893\", alpha=\"0.01\", expect_size=\"43783168\"] \n  9 [size=\"174336000\", alpha=\"0.02\", expect_size=\"52300800\"] \n  10 [size=\"63870293\", alpha=\"0.08\", expect_size=\"19161088\"] \n  11 [size=\"53630293\", alpha=\"0.12\", expect_size=\"16089088\"] \n  12 [size=\"50500267\", alpha=\"0.01\", expect_size=\"15150080\"] \n  13 [size=\"36007253\", alpha=\"0.04\", expect_size=\"10802176\"] \n  14 [size=\"85579093\", alpha=\"0.01\", expect_size=\"25673728\"] \n  15 [size=\"169110187\", alpha=\"0.03\", expect_size=\"50733056\"] \n  16 [size=\"50353493\", alpha=\"0.05\", expect_size=\"15106048\"] \n  17 [size=\"64095573\", alpha=\"0.04\", expect_size=\"19228672\"] \n  18 [size=\"97399467\", alpha=\"0.18\", expect_size=\"29219840\"] \n  19 [size=\"108806827\", alpha=\"0.20\", expect_size=\"32642048\"] \n  20 [size=\"123354453\", alpha=\"0.08\", expect_size=\"37006336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38686720\", alpha=\"0.12\", expect_size=\"11606016\"] \n  1 -> 19 [size =\"11606016\"]\n  1 -> 20 [size =\"11606016\"]\n  2 [size=\"130167467\", alpha=\"0.09\", expect_size=\"39050240\"] \n  3 [size=\"115053227\", alpha=\"0.18\", expect_size=\"34515968\"] \n  3 -> 19 [size =\"34515968\"]\n  4 [size=\"117364053\", alpha=\"0.14\", expect_size=\"35209216\"] \n  4 -> 20 [size =\"35209216\"]\n  5 [size=\"22401707\", alpha=\"0.08\", expect_size=\"6720512\"] \n  6 [size=\"51066880\", alpha=\"0.04\", expect_size=\"15320064\"] \n  7 [size=\"26047147\", alpha=\"0.09\", expect_size=\"7814144\"] \n  8 [size=\"129341440\", alpha=\"0.17\", expect_size=\"38802432\"] \n  8 -> 20 [size =\"38802432\"]\n  9 [size=\"59712853\", alpha=\"0.11\", expect_size=\"17913856\"] \n  10 [size=\"166178133\", alpha=\"0.07\", expect_size=\"49853440\"] \n  10 -> 19 [size =\"49853440\"]\n  11 [size=\"67532800\", alpha=\"0.08\", expect_size=\"20259840\"] \n  12 [size=\"163075413\", alpha=\"0.04\", expect_size=\"48922624\"] \n  13 [size=\"75892053\", alpha=\"0.04\", expect_size=\"22767616\"] \n  14 [size=\"56753493\", alpha=\"0.09\", expect_size=\"17026048\"] \n  14 -> 19 [size =\"17026048\"]\n  15 [size=\"163618133\", alpha=\"0.07\", expect_size=\"49085440\"] \n  15 -> 19 [size =\"49085440\"]\n  16 [size=\"71881387\", alpha=\"0.00\", expect_size=\"21564416\"] \n  16 -> 20 [size =\"21564416\"]\n  17 [size=\"102116693\", alpha=\"0.13\", expect_size=\"30635008\"] \n  18 [size=\"173312000\", alpha=\"0.02\", expect_size=\"51993600\"] \n  18 -> 19 [size =\"51993600\"]\n  19 [size=\"149261653\", alpha=\"0.05\", expect_size=\"44778496\"] \n  20 [size=\"78912853\", alpha=\"0.02\", expect_size=\"23673856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18001920\", alpha=\"0.08\", expect_size=\"5400576\"] \n  2 [size=\"77503147\", alpha=\"0.01\", expect_size=\"23250944\"] \n  2 -> 11 [size =\"23250944\"]\n  3 [size=\"135403520\", alpha=\"0.02\", expect_size=\"40621056\"] \n  3 -> 10 [size =\"40621056\"]\n  3 -> 12 [size =\"40621056\"]\n  3 -> 13 [size =\"40621056\"]\n  4 [size=\"88190293\", alpha=\"0.10\", expect_size=\"26457088\"] \n  4 -> 8 [size =\"26457088\"]\n  4 -> 9 [size =\"26457088\"]\n  4 -> 13 [size =\"26457088\"]\n  5 [size=\"144288427\", alpha=\"0.10\", expect_size=\"43286528\"] \n  5 -> 9 [size =\"43286528\"]\n  5 -> 9 [size =\"43286528\"]\n  5 -> 13 [size =\"43286528\"]\n  6 [size=\"130723840\", alpha=\"0.05\", expect_size=\"39217152\"] \n  6 -> 10 [size =\"39217152\"]\n  6 -> 12 [size =\"39217152\"]\n  6 -> 13 [size =\"39217152\"]\n  7 [size=\"28132693\", alpha=\"0.06\", expect_size=\"8439808\"] \n  7 -> 9 [size =\"8439808\"]\n  7 -> 12 [size =\"8439808\"]\n  7 -> 13 [size =\"8439808\"]\n  8 [size=\"113466027\", alpha=\"0.08\", expect_size=\"34039808\"] \n  8 -> 16 [size =\"34039808\"]\n  8 -> 19 [size =\"34039808\"]\n  8 -> 20 [size =\"34039808\"]\n  9 [size=\"58125653\", alpha=\"0.08\", expect_size=\"17437696\"] \n  9 -> 15 [size =\"17437696\"]\n  9 -> 16 [size =\"17437696\"]\n  10 [size=\"47728640\", alpha=\"0.10\", expect_size=\"14318592\"] \n  10 -> 15 [size =\"14318592\"]\n  10 -> 19 [size =\"14318592\"]\n  11 [size=\"133167787\", alpha=\"0.08\", expect_size=\"39950336\"] \n  11 -> 16 [size =\"39950336\"]\n  12 [size=\"35546453\", alpha=\"0.05\", expect_size=\"10663936\"] \n  12 -> 14 [size =\"10663936\"]\n  12 -> 16 [size =\"10663936\"]\n  12 -> 18 [size =\"10663936\"]\n  12 -> 20 [size =\"10663936\"]\n  13 [size=\"41400320\", alpha=\"0.13\", expect_size=\"12420096\"] \n  13 -> 15 [size =\"12420096\"]\n  13 -> 17 [size =\"12420096\"]\n  14 [size=\"60446720\", alpha=\"0.19\", expect_size=\"18134016\"] \n  15 [size=\"140090027\", alpha=\"0.19\", expect_size=\"42027008\"] \n  16 [size=\"62450347\", alpha=\"0.12\", expect_size=\"18735104\"] \n  17 [size=\"105127253\", alpha=\"0.03\", expect_size=\"31538176\"] \n  18 [size=\"156078080\", alpha=\"0.19\", expect_size=\"46823424\"] \n  19 [size=\"61173760\", alpha=\"0.15\", expect_size=\"18352128\"] \n  20 [size=\"121722880\", alpha=\"0.19\", expect_size=\"36516864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118435840\", alpha=\"0.16\", expect_size=\"35530752\"] \n  1 -> 9 [size =\"35530752\"]\n  1 -> 11 [size =\"35530752\"]\n  1 -> 15 [size =\"35530752\"]\n  2 [size=\"112100693\", alpha=\"0.03\", expect_size=\"33630208\"] \n  2 -> 9 [size =\"33630208\"]\n  2 -> 15 [size =\"33630208\"]\n  2 -> 15 [size =\"33630208\"]\n  3 [size=\"82988373\", alpha=\"0.19\", expect_size=\"24896512\"] \n  3 -> 11 [size =\"24896512\"]\n  3 -> 13 [size =\"24896512\"]\n  4 [size=\"135277227\", alpha=\"0.20\", expect_size=\"40583168\"] \n  4 -> 10 [size =\"40583168\"]\n  4 -> 11 [size =\"40583168\"]\n  5 [size=\"130949120\", alpha=\"0.01\", expect_size=\"39284736\"] \n  5 -> 9 [size =\"39284736\"]\n  6 [size=\"33430187\", alpha=\"0.08\", expect_size=\"10029056\"] \n  6 -> 12 [size =\"10029056\"]\n  6 -> 14 [size =\"10029056\"]\n  7 [size=\"44212907\", alpha=\"0.11\", expect_size=\"13263872\"] \n  7 -> 10 [size =\"13263872\"]\n  7 -> 14 [size =\"13263872\"]\n  7 -> 15 [size =\"13263872\"]\n  8 [size=\"27187200\", alpha=\"0.06\", expect_size=\"8156160\"] \n  8 -> 9 [size =\"8156160\"]\n  8 -> 10 [size =\"8156160\"]\n  8 -> 11 [size =\"8156160\"]\n  8 -> 12 [size =\"8156160\"]\n  8 -> 15 [size =\"8156160\"]\n  9 [size=\"39461547\", alpha=\"0.20\", expect_size=\"11838464\"] \n  9 -> 18 [size =\"11838464\"]\n  10 [size=\"160979627\", alpha=\"0.09\", expect_size=\"48293888\"] \n  10 -> 17 [size =\"48293888\"]\n  11 [size=\"105229653\", alpha=\"0.14\", expect_size=\"31568896\"] \n  12 [size=\"76509867\", alpha=\"0.12\", expect_size=\"22952960\"] \n  12 -> 17 [size =\"22952960\"]\n  12 -> 20 [size =\"22952960\"]\n  13 [size=\"99147093\", alpha=\"0.11\", expect_size=\"29744128\"] \n  13 -> 17 [size =\"29744128\"]\n  14 [size=\"89668267\", alpha=\"0.10\", expect_size=\"26900480\"] \n  14 -> 16 [size =\"26900480\"]\n  14 -> 20 [size =\"26900480\"]\n  15 [size=\"87060480\", alpha=\"0.06\", expect_size=\"26118144\"] \n  15 -> 19 [size =\"26118144\"]\n  15 -> 20 [size =\"26118144\"]\n  16 [size=\"91409067\", alpha=\"0.06\", expect_size=\"27422720\"] \n  17 [size=\"155494400\", alpha=\"0.05\", expect_size=\"46648320\"] \n  18 [size=\"85667840\", alpha=\"0.10\", expect_size=\"25700352\"] \n  19 [size=\"133526187\", alpha=\"0.10\", expect_size=\"40057856\"] \n  20 [size=\"133335040\", alpha=\"0.02\", expect_size=\"40000512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34418688\", alpha=\"0.13\", expect_size=\"17209344\"] \n  1 -> 15 [size =\"17209344\"]\n  1 -> 17 [size =\"17209344\"]\n  1 -> 19 [size =\"17209344\"]\n  1 -> 20 [size =\"17209344\"]\n  2 [size=\"35252224\", alpha=\"0.00\", expect_size=\"17626112\"] \n  2 -> 15 [size =\"17626112\"]\n  2 -> 17 [size =\"17626112\"]\n  2 -> 19 [size =\"17626112\"]\n  3 [size=\"34930688\", alpha=\"0.09\", expect_size=\"17465344\"] \n  3 -> 15 [size =\"17465344\"]\n  3 -> 16 [size =\"17465344\"]\n  3 -> 17 [size =\"17465344\"]\n  3 -> 18 [size =\"17465344\"]\n  3 -> 20 [size =\"17465344\"]\n  4 [size=\"35831808\", alpha=\"0.01\", expect_size=\"17915904\"] \n  4 -> 15 [size =\"17915904\"]\n  4 -> 16 [size =\"17915904\"]\n  4 -> 17 [size =\"17915904\"]\n  4 -> 19 [size =\"17915904\"]\n  4 -> 20 [size =\"17915904\"]\n  5 [size=\"102291456\", alpha=\"0.14\", expect_size=\"51145728\"] \n  5 -> 15 [size =\"51145728\"]\n  5 -> 16 [size =\"51145728\"]\n  5 -> 17 [size =\"51145728\"]\n  5 -> 19 [size =\"51145728\"]\n  6 [size=\"63688704\", alpha=\"0.17\", expect_size=\"31844352\"] \n  6 -> 15 [size =\"31844352\"]\n  6 -> 16 [size =\"31844352\"]\n  6 -> 17 [size =\"31844352\"]\n  6 -> 18 [size =\"31844352\"]\n  6 -> 20 [size =\"31844352\"]\n  7 [size=\"16281600\", alpha=\"0.08\", expect_size=\"8140800\"] \n  7 -> 15 [size =\"8140800\"]\n  7 -> 16 [size =\"8140800\"]\n  7 -> 20 [size =\"8140800\"]\n  8 [size=\"39702528\", alpha=\"0.04\", expect_size=\"19851264\"] \n  8 -> 15 [size =\"19851264\"]\n  8 -> 18 [size =\"19851264\"]\n  8 -> 19 [size =\"19851264\"]\n  9 [size=\"32905216\", alpha=\"0.14\", expect_size=\"16452608\"] \n  9 -> 18 [size =\"16452608\"]\n  9 -> 19 [size =\"16452608\"]\n  10 [size=\"71186432\", alpha=\"0.10\", expect_size=\"35593216\"] \n  10 -> 15 [size =\"35593216\"]\n  10 -> 16 [size =\"35593216\"]\n  10 -> 19 [size =\"35593216\"]\n  11 [size=\"48975872\", alpha=\"0.16\", expect_size=\"24487936\"] \n  11 -> 16 [size =\"24487936\"]\n  11 -> 17 [size =\"24487936\"]\n  11 -> 18 [size =\"24487936\"]\n  11 -> 19 [size =\"24487936\"]\n  11 -> 20 [size =\"24487936\"]\n  12 [size=\"15572992\", alpha=\"0.13\", expect_size=\"7786496\"] \n  12 -> 16 [size =\"7786496\"]\n  12 -> 18 [size =\"7786496\"]\n  13 [size=\"16658432\", alpha=\"0.14\", expect_size=\"8329216\"] \n  13 -> 18 [size =\"8329216\"]\n  14 [size=\"58697728\", alpha=\"0.06\", expect_size=\"29348864\"] \n  14 -> 16 [size =\"29348864\"]\n  14 -> 17 [size =\"29348864\"]\n  14 -> 18 [size =\"29348864\"]\n  14 -> 20 [size =\"29348864\"]\n  15 [size=\"62758912\", alpha=\"0.19\", expect_size=\"31379456\"] \n  16 [size=\"33472512\", alpha=\"0.08\", expect_size=\"16736256\"] \n  17 [size=\"17182720\", alpha=\"0.04\", expect_size=\"8591360\"] \n  18 [size=\"52606976\", alpha=\"0.05\", expect_size=\"26303488\"] \n  19 [size=\"72060928\", alpha=\"0.06\", expect_size=\"36030464\"] \n  20 [size=\"44253184\", alpha=\"0.19\", expect_size=\"22126592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88886613\", alpha=\"0.01\", expect_size=\"26665984\"] \n  1 -> 2 [size =\"26665984\"]\n  2 [size=\"110219947\", alpha=\"0.03\", expect_size=\"33065984\"] \n  2 -> 3 [size =\"33065984\"]\n  2 -> 4 [size =\"33065984\"]\n  3 [size=\"128003413\", alpha=\"0.16\", expect_size=\"38401024\"] \n  3 -> 5 [size =\"38401024\"]\n  4 [size=\"103581013\", alpha=\"0.03\", expect_size=\"31074304\"] \n  4 -> 6 [size =\"31074304\"]\n  5 [size=\"41311573\", alpha=\"0.18\", expect_size=\"12393472\"] \n  5 -> 7 [size =\"12393472\"]\n  6 [size=\"137625600\", alpha=\"0.18\", expect_size=\"41287680\"] \n  6 -> 7 [size =\"41287680\"]\n  7 [size=\"151640747\", alpha=\"0.17\", expect_size=\"45492224\"] \n  7 -> 8 [size =\"45492224\"]\n  8 [size=\"153548800\", alpha=\"0.08\", expect_size=\"46064640\"] \n  8 -> 9 [size =\"46064640\"]\n  8 -> 10 [size =\"46064640\"]\n  9 [size=\"169151147\", alpha=\"0.03\", expect_size=\"50745344\"] \n  9 -> 11 [size =\"50745344\"]\n  10 [size=\"84486827\", alpha=\"0.10\", expect_size=\"25346048\"] \n  10 -> 11 [size =\"25346048\"]\n  11 [size=\"28416000\", alpha=\"0.11\", expect_size=\"8524800\"] \n  11 -> 12 [size =\"8524800\"]\n  12 [size=\"36188160\", alpha=\"0.09\", expect_size=\"10856448\"] \n  12 -> 13 [size =\"10856448\"]\n  12 -> 14 [size =\"10856448\"]\n  13 [size=\"59340800\", alpha=\"0.07\", expect_size=\"17802240\"] \n  13 -> 15 [size =\"17802240\"]\n  14 [size=\"24224427\", alpha=\"0.17\", expect_size=\"7267328\"] \n  15 [size=\"49397760\", alpha=\"0.16\", expect_size=\"14819328\"] \n  15 -> 16 [size =\"14819328\"]\n  15 -> 17 [size =\"14819328\"]\n  16 [size=\"31354880\", alpha=\"0.03\", expect_size=\"9406464\"] \n  16 -> 18 [size =\"9406464\"]\n  17 [size=\"18053120\", alpha=\"0.08\", expect_size=\"5415936\"] \n  18 [size=\"150282240\", alpha=\"0.17\", expect_size=\"45084672\"] \n  18 -> 19 [size =\"45084672\"]\n  18 -> 20 [size =\"45084672\"]\n  19 [size=\"54319787\", alpha=\"0.14\", expect_size=\"16295936\"] \n  20 [size=\"77803520\", alpha=\"0.02\", expect_size=\"23341056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169697280\", alpha=\"0.08\", expect_size=\"50909184\"] \n  1 -> 15 [size =\"50909184\"]\n  1 -> 20 [size =\"50909184\"]\n  2 [size=\"41065813\", alpha=\"0.04\", expect_size=\"12319744\"] \n  2 -> 15 [size =\"12319744\"]\n  2 -> 18 [size =\"12319744\"]\n  2 -> 20 [size =\"12319744\"]\n  3 [size=\"93921280\", alpha=\"0.20\", expect_size=\"28176384\"] \n  3 -> 15 [size =\"28176384\"]\n  3 -> 17 [size =\"28176384\"]\n  3 -> 18 [size =\"28176384\"]\n  3 -> 20 [size =\"28176384\"]\n  4 [size=\"162512213\", alpha=\"0.05\", expect_size=\"48753664\"] \n  4 -> 15 [size =\"48753664\"]\n  4 -> 16 [size =\"48753664\"]\n  4 -> 17 [size =\"48753664\"]\n  4 -> 18 [size =\"48753664\"]\n  4 -> 20 [size =\"48753664\"]\n  5 [size=\"166304427\", alpha=\"0.08\", expect_size=\"49891328\"] \n  5 -> 14 [size =\"49891328\"]\n  5 -> 17 [size =\"49891328\"]\n  5 -> 20 [size =\"49891328\"]\n  6 [size=\"116408320\", alpha=\"0.10\", expect_size=\"34922496\"] \n  6 -> 15 [size =\"34922496\"]\n  6 -> 16 [size =\"34922496\"]\n  6 -> 17 [size =\"34922496\"]\n  6 -> 20 [size =\"34922496\"]\n  7 [size=\"152804693\", alpha=\"0.04\", expect_size=\"45841408\"] \n  7 -> 16 [size =\"45841408\"]\n  7 -> 18 [size =\"45841408\"]\n  7 -> 20 [size =\"45841408\"]\n  8 [size=\"65471147\", alpha=\"0.03\", expect_size=\"19641344\"] \n  8 -> 15 [size =\"19641344\"]\n  8 -> 18 [size =\"19641344\"]\n  9 [size=\"31546027\", alpha=\"0.02\", expect_size=\"9463808\"] \n  9 -> 15 [size =\"9463808\"]\n  9 -> 16 [size =\"9463808\"]\n  9 -> 18 [size =\"9463808\"]\n  10 [size=\"82493440\", alpha=\"0.07\", expect_size=\"24748032\"] \n  10 -> 14 [size =\"24748032\"]\n  10 -> 15 [size =\"24748032\"]\n  10 -> 18 [size =\"24748032\"]\n  11 [size=\"148428800\", alpha=\"0.08\", expect_size=\"44528640\"] \n  11 -> 15 [size =\"44528640\"]\n  11 -> 15 [size =\"44528640\"]\n  11 -> 18 [size =\"44528640\"]\n  11 -> 19 [size =\"44528640\"]\n  11 -> 20 [size =\"44528640\"]\n  12 [size=\"51660800\", alpha=\"0.14\", expect_size=\"15498240\"] \n  12 -> 14 [size =\"15498240\"]\n  12 -> 15 [size =\"15498240\"]\n  12 -> 18 [size =\"15498240\"]\n  12 -> 20 [size =\"15498240\"]\n  12 -> 20 [size =\"15498240\"]\n  13 [size=\"82264747\", alpha=\"0.12\", expect_size=\"24679424\"] \n  13 -> 15 [size =\"24679424\"]\n  13 -> 20 [size =\"24679424\"]\n  14 [size=\"80189440\", alpha=\"0.16\", expect_size=\"24056832\"] \n  15 [size=\"120166400\", alpha=\"0.05\", expect_size=\"36049920\"] \n  16 [size=\"29081600\", alpha=\"0.01\", expect_size=\"8724480\"] \n  17 [size=\"104656213\", alpha=\"0.11\", expect_size=\"31396864\"] \n  18 [size=\"135096320\", alpha=\"0.00\", expect_size=\"40528896\"] \n  19 [size=\"155805013\", alpha=\"0.07\", expect_size=\"46741504\"] \n  20 [size=\"169253547\", alpha=\"0.00\", expect_size=\"50776064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96151040\", alpha=\"0.12\", expect_size=\"38460416\"] \n  1 -> 9 [size =\"38460416\"]\n  1 -> 11 [size =\"38460416\"]\n  1 -> 15 [size =\"38460416\"]\n  2 [size=\"71057920\", alpha=\"0.12\", expect_size=\"28423168\"] \n  2 -> 9 [size =\"28423168\"]\n  2 -> 10 [size =\"28423168\"]\n  2 -> 11 [size =\"28423168\"]\n  2 -> 12 [size =\"28423168\"]\n  3 [size=\"24394240\", alpha=\"0.15\", expect_size=\"9757696\"] \n  3 -> 12 [size =\"9757696\"]\n  4 [size=\"126545920\", alpha=\"0.08\", expect_size=\"50618368\"] \n  4 -> 13 [size =\"50618368\"]\n  4 -> 16 [size =\"50618368\"]\n  5 [size=\"60436480\", alpha=\"0.13\", expect_size=\"24174592\"] \n  5 -> 10 [size =\"24174592\"]\n  5 -> 13 [size =\"24174592\"]\n  5 -> 15 [size =\"24174592\"]\n  6 [size=\"89876480\", alpha=\"0.20\", expect_size=\"35950592\"] \n  6 -> 9 [size =\"35950592\"]\n  6 -> 11 [size =\"35950592\"]\n  6 -> 15 [size =\"35950592\"]\n  7 [size=\"84879360\", alpha=\"0.11\", expect_size=\"33951744\"] \n  7 -> 12 [size =\"33951744\"]\n  8 [size=\"119764480\", alpha=\"0.20\", expect_size=\"47905792\"] \n  8 -> 11 [size =\"47905792\"]\n  8 -> 12 [size =\"47905792\"]\n  8 -> 13 [size =\"47905792\"]\n  8 -> 14 [size =\"47905792\"]\n  8 -> 15 [size =\"47905792\"]\n  9 [size=\"96929280\", alpha=\"0.10\", expect_size=\"38771712\"] \n  9 -> 18 [size =\"38771712\"]\n  9 -> 19 [size =\"38771712\"]\n  10 [size=\"54223360\", alpha=\"0.05\", expect_size=\"21689344\"] \n  11 [size=\"121216000\", alpha=\"0.00\", expect_size=\"48486400\"] \n  11 -> 17 [size =\"48486400\"]\n  11 -> 20 [size =\"48486400\"]\n  12 [size=\"72304640\", alpha=\"0.16\", expect_size=\"28921856\"] \n  12 -> 17 [size =\"28921856\"]\n  12 -> 18 [size =\"28921856\"]\n  13 [size=\"23879680\", alpha=\"0.06\", expect_size=\"9551872\"] \n  13 -> 17 [size =\"9551872\"]\n  14 [size=\"110807040\", alpha=\"0.13\", expect_size=\"44322816\"] \n  14 -> 18 [size =\"44322816\"]\n  15 [size=\"42224640\", alpha=\"0.18\", expect_size=\"16889856\"] \n  16 [size=\"118264320\", alpha=\"0.04\", expect_size=\"47305728\"] \n  17 [size=\"117043200\", alpha=\"0.15\", expect_size=\"46817280\"] \n  18 [size=\"61473280\", alpha=\"0.17\", expect_size=\"24589312\"] \n  19 [size=\"59934720\", alpha=\"0.12\", expect_size=\"23973888\"] \n  20 [size=\"120665600\", alpha=\"0.06\", expect_size=\"48266240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85235200\", alpha=\"0.12\", expect_size=\"34094080\"] \n  2 [size=\"103329280\", alpha=\"0.08\", expect_size=\"41331712\"] \n  2 -> 12 [size =\"41331712\"]\n  3 [size=\"106060800\", alpha=\"0.18\", expect_size=\"42424320\"] \n  3 -> 8 [size =\"42424320\"]\n  4 [size=\"47912960\", alpha=\"0.02\", expect_size=\"19165184\"] \n  4 -> 8 [size =\"19165184\"]\n  4 -> 9 [size =\"19165184\"]\n  4 -> 10 [size =\"19165184\"]\n  4 -> 11 [size =\"19165184\"]\n  4 -> 12 [size =\"19165184\"]\n  5 [size=\"95936000\", alpha=\"0.13\", expect_size=\"38374400\"] \n  5 -> 8 [size =\"38374400\"]\n  5 -> 9 [size =\"38374400\"]\n  5 -> 10 [size =\"38374400\"]\n  5 -> 11 [size =\"38374400\"]\n  6 [size=\"120975360\", alpha=\"0.19\", expect_size=\"48390144\"] \n  6 -> 9 [size =\"48390144\"]\n  6 -> 10 [size =\"48390144\"]\n  6 -> 11 [size =\"48390144\"]\n  6 -> 12 [size =\"48390144\"]\n  7 [size=\"49530880\", alpha=\"0.00\", expect_size=\"19812352\"] \n  7 -> 8 [size =\"19812352\"]\n  7 -> 12 [size =\"19812352\"]\n  8 [size=\"78914560\", alpha=\"0.18\", expect_size=\"31565824\"] \n  8 -> 13 [size =\"31565824\"]\n  8 -> 14 [size =\"31565824\"]\n  8 -> 15 [size =\"31565824\"]\n  8 -> 19 [size =\"31565824\"]\n  9 [size=\"53795840\", alpha=\"0.09\", expect_size=\"21518336\"] \n  9 -> 14 [size =\"21518336\"]\n  9 -> 16 [size =\"21518336\"]\n  10 [size=\"109532160\", alpha=\"0.18\", expect_size=\"43812864\"] \n  10 -> 13 [size =\"43812864\"]\n  10 -> 15 [size =\"43812864\"]\n  10 -> 18 [size =\"43812864\"]\n  11 [size=\"13808640\", alpha=\"0.03\", expect_size=\"5523456\"] \n  11 -> 13 [size =\"5523456\"]\n  11 -> 17 [size =\"5523456\"]\n  12 [size=\"85370880\", alpha=\"0.13\", expect_size=\"34148352\"] \n  12 -> 15 [size =\"34148352\"]\n  12 -> 16 [size =\"34148352\"]\n  12 -> 19 [size =\"34148352\"]\n  13 [size=\"13749760\", alpha=\"0.00\", expect_size=\"5499904\"] \n  13 -> 20 [size =\"5499904\"]\n  14 [size=\"121955840\", alpha=\"0.06\", expect_size=\"48782336\"] \n  15 [size=\"13670400\", alpha=\"0.17\", expect_size=\"5468160\"] \n  16 [size=\"88053760\", alpha=\"0.06\", expect_size=\"35221504\"] \n  17 [size=\"80983040\", alpha=\"0.10\", expect_size=\"32393216\"] \n  18 [size=\"83655680\", alpha=\"0.07\", expect_size=\"33462272\"] \n  19 [size=\"68963840\", alpha=\"0.19\", expect_size=\"27585536\"] \n  20 [size=\"121692160\", alpha=\"0.15\", expect_size=\"48676864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95244800\", alpha=\"0.05\", expect_size=\"38097920\"] \n  1 -> 5 [size =\"38097920\"]\n  1 -> 6 [size =\"38097920\"]\n  1 -> 7 [size =\"38097920\"]\n  2 [size=\"27850240\", alpha=\"0.01\", expect_size=\"11140096\"] \n  2 -> 4 [size =\"11140096\"]\n  2 -> 5 [size =\"11140096\"]\n  3 [size=\"19699200\", alpha=\"0.02\", expect_size=\"7879680\"] \n  3 -> 4 [size =\"7879680\"]\n  3 -> 5 [size =\"7879680\"]\n  4 [size=\"117844480\", alpha=\"0.04\", expect_size=\"47137792\"] \n  4 -> 8 [size =\"47137792\"]\n  4 -> 10 [size =\"47137792\"]\n  5 [size=\"69632000\", alpha=\"0.02\", expect_size=\"27852800\"] \n  5 -> 8 [size =\"27852800\"]\n  5 -> 10 [size =\"27852800\"]\n  6 [size=\"115389440\", alpha=\"0.12\", expect_size=\"46155776\"] \n  6 -> 8 [size =\"46155776\"]\n  6 -> 9 [size =\"46155776\"]\n  6 -> 11 [size =\"46155776\"]\n  7 [size=\"119616000\", alpha=\"0.10\", expect_size=\"47846400\"] \n  7 -> 10 [size =\"47846400\"]\n  8 [size=\"19883520\", alpha=\"0.05\", expect_size=\"7953408\"] \n  8 -> 13 [size =\"7953408\"]\n  8 -> 14 [size =\"7953408\"]\n  9 [size=\"26027520\", alpha=\"0.10\", expect_size=\"10411008\"] \n  10 [size=\"121617920\", alpha=\"0.06\", expect_size=\"48647168\"] \n  10 -> 13 [size =\"48647168\"]\n  11 [size=\"112481280\", alpha=\"0.02\", expect_size=\"44992512\"] \n  11 -> 12 [size =\"44992512\"]\n  11 -> 13 [size =\"44992512\"]\n  11 -> 14 [size =\"44992512\"]\n  11 -> 15 [size =\"44992512\"]\n  12 [size=\"25103360\", alpha=\"0.03\", expect_size=\"10041344\"] \n  12 -> 16 [size =\"10041344\"]\n  12 -> 20 [size =\"10041344\"]\n  13 [size=\"31316480\", alpha=\"0.12\", expect_size=\"12526592\"] \n  13 -> 16 [size =\"12526592\"]\n  13 -> 17 [size =\"12526592\"]\n  13 -> 18 [size =\"12526592\"]\n  13 -> 19 [size =\"12526592\"]\n  13 -> 20 [size =\"12526592\"]\n  14 [size=\"45038080\", alpha=\"0.17\", expect_size=\"18015232\"] \n  14 -> 17 [size =\"18015232\"]\n  14 -> 18 [size =\"18015232\"]\n  14 -> 19 [size =\"18015232\"]\n  14 -> 20 [size =\"18015232\"]\n  15 [size=\"67696640\", alpha=\"0.19\", expect_size=\"27078656\"] \n  15 -> 18 [size =\"27078656\"]\n  15 -> 19 [size =\"27078656\"]\n  16 [size=\"81105920\", alpha=\"0.02\", expect_size=\"32442368\"] \n  17 [size=\"35571200\", alpha=\"0.04\", expect_size=\"14228480\"] \n  18 [size=\"93163520\", alpha=\"0.08\", expect_size=\"37265408\"] \n  19 [size=\"120931840\", alpha=\"0.07\", expect_size=\"48372736\"] \n  20 [size=\"61271040\", alpha=\"0.18\", expect_size=\"24508416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78348288\", alpha=\"0.03\", expect_size=\"39174144\"] \n  1 -> 2 [size =\"39174144\"]\n  2 [size=\"15636480\", alpha=\"0.10\", expect_size=\"7818240\"] \n  2 -> 3 [size =\"7818240\"]\n  2 -> 4 [size =\"7818240\"]\n  3 [size=\"98885632\", alpha=\"0.05\", expect_size=\"49442816\"] \n  3 -> 5 [size =\"49442816\"]\n  3 -> 6 [size =\"49442816\"]\n  4 [size=\"59475968\", alpha=\"0.11\", expect_size=\"29737984\"] \n  4 -> 5 [size =\"29737984\"]\n  4 -> 6 [size =\"29737984\"]\n  5 [size=\"52615168\", alpha=\"0.02\", expect_size=\"26307584\"] \n  5 -> 7 [size =\"26307584\"]\n  6 [size=\"50132992\", alpha=\"0.04\", expect_size=\"25066496\"] \n  7 [size=\"95019008\", alpha=\"0.18\", expect_size=\"47509504\"] \n  7 -> 8 [size =\"47509504\"]\n  8 [size=\"90341376\", alpha=\"0.00\", expect_size=\"45170688\"] \n  8 -> 9 [size =\"45170688\"]\n  8 -> 10 [size =\"45170688\"]\n  9 [size=\"45535232\", alpha=\"0.15\", expect_size=\"22767616\"] \n  9 -> 11 [size =\"22767616\"]\n  10 [size=\"16896000\", alpha=\"0.13\", expect_size=\"8448000\"] \n  10 -> 11 [size =\"8448000\"]\n  11 [size=\"90550272\", alpha=\"0.10\", expect_size=\"45275136\"] \n  11 -> 12 [size =\"45275136\"]\n  11 -> 13 [size =\"45275136\"]\n  12 [size=\"102832128\", alpha=\"0.10\", expect_size=\"51416064\"] \n  12 -> 14 [size =\"51416064\"]\n  12 -> 15 [size =\"51416064\"]\n  13 [size=\"57266176\", alpha=\"0.00\", expect_size=\"28633088\"] \n  13 -> 14 [size =\"28633088\"]\n  14 [size=\"81293312\", alpha=\"0.13\", expect_size=\"40646656\"] \n  14 -> 16 [size =\"40646656\"]\n  14 -> 17 [size =\"40646656\"]\n  15 [size=\"37025792\", alpha=\"0.02\", expect_size=\"18512896\"] \n  15 -> 16 [size =\"18512896\"]\n  15 -> 17 [size =\"18512896\"]\n  16 [size=\"46667776\", alpha=\"0.17\", expect_size=\"23333888\"] \n  16 -> 18 [size =\"23333888\"]\n  17 [size=\"64385024\", alpha=\"0.14\", expect_size=\"32192512\"] \n  17 -> 18 [size =\"32192512\"]\n  17 -> 19 [size =\"32192512\"]\n  18 [size=\"52920320\", alpha=\"0.17\", expect_size=\"26460160\"] \n  19 [size=\"54310912\", alpha=\"0.08\", expect_size=\"27155456\"] \n  19 -> 20 [size =\"27155456\"]\n  20 [size=\"30586880\", alpha=\"0.09\", expect_size=\"15293440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29893120\", alpha=\"0.18\", expect_size=\"11957248\"] \n  1 -> 2 [size =\"11957248\"]\n  2 [size=\"56849920\", alpha=\"0.08\", expect_size=\"22739968\"] \n  2 -> 3 [size =\"22739968\"]\n  3 [size=\"57602560\", alpha=\"0.02\", expect_size=\"23041024\"] \n  3 -> 4 [size =\"23041024\"]\n  4 [size=\"112481280\", alpha=\"0.16\", expect_size=\"44992512\"] \n  4 -> 5 [size =\"44992512\"]\n  5 [size=\"48657920\", alpha=\"0.17\", expect_size=\"19463168\"] \n  5 -> 6 [size =\"19463168\"]\n  6 [size=\"125854720\", alpha=\"0.02\", expect_size=\"50341888\"] \n  6 -> 7 [size =\"50341888\"]\n  7 [size=\"59141120\", alpha=\"0.09\", expect_size=\"23656448\"] \n  7 -> 8 [size =\"23656448\"]\n  8 [size=\"69148160\", alpha=\"0.11\", expect_size=\"27659264\"] \n  8 -> 9 [size =\"27659264\"]\n  9 [size=\"106513920\", alpha=\"0.02\", expect_size=\"42605568\"] \n  9 -> 10 [size =\"42605568\"]\n  10 [size=\"95987200\", alpha=\"0.20\", expect_size=\"38394880\"] \n  10 -> 11 [size =\"38394880\"]\n  11 [size=\"125708800\", alpha=\"0.17\", expect_size=\"50283520\"] \n  11 -> 12 [size =\"50283520\"]\n  12 [size=\"115630080\", alpha=\"0.06\", expect_size=\"46252032\"] \n  12 -> 13 [size =\"46252032\"]\n  13 [size=\"43998720\", alpha=\"0.06\", expect_size=\"17599488\"] \n  13 -> 14 [size =\"17599488\"]\n  14 [size=\"54656000\", alpha=\"0.04\", expect_size=\"21862400\"] \n  14 -> 15 [size =\"21862400\"]\n  15 [size=\"28648960\", alpha=\"0.08\", expect_size=\"11459584\"] \n  15 -> 16 [size =\"11459584\"]\n  16 [size=\"130841600\", alpha=\"0.13\", expect_size=\"52336640\"] \n  16 -> 17 [size =\"52336640\"]\n  17 [size=\"25717760\", alpha=\"0.05\", expect_size=\"10287104\"] \n  17 -> 18 [size =\"10287104\"]\n  18 [size=\"81044480\", alpha=\"0.11\", expect_size=\"32417792\"] \n  18 -> 19 [size =\"32417792\"]\n  19 [size=\"27397120\", alpha=\"0.04\", expect_size=\"10958848\"] \n  19 -> 20 [size =\"10958848\"]\n  20 [size=\"37583360\", alpha=\"0.07\", expect_size=\"15033344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95438848\", alpha=\"0.11\", expect_size=\"47719424\"] \n  1 -> 12 [size =\"47719424\"]\n  1 -> 14 [size =\"47719424\"]\n  1 -> 15 [size =\"47719424\"]\n  1 -> 18 [size =\"47719424\"]\n  1 -> 20 [size =\"47719424\"]\n  2 [size=\"12214272\", alpha=\"0.11\", expect_size=\"6107136\"] \n  2 -> 12 [size =\"6107136\"]\n  2 -> 14 [size =\"6107136\"]\n  2 -> 17 [size =\"6107136\"]\n  2 -> 18 [size =\"6107136\"]\n  2 -> 20 [size =\"6107136\"]\n  3 [size=\"100581376\", alpha=\"0.12\", expect_size=\"50290688\"] \n  3 -> 16 [size =\"50290688\"]\n  3 -> 18 [size =\"50290688\"]\n  3 -> 20 [size =\"50290688\"]\n  4 [size=\"12720128\", alpha=\"0.19\", expect_size=\"6360064\"] \n  4 -> 17 [size =\"6360064\"]\n  4 -> 18 [size =\"6360064\"]\n  4 -> 20 [size =\"6360064\"]\n  5 [size=\"41967616\", alpha=\"0.06\", expect_size=\"20983808\"] \n  5 -> 15 [size =\"20983808\"]\n  5 -> 17 [size =\"20983808\"]\n  6 [size=\"16203776\", alpha=\"0.12\", expect_size=\"8101888\"] \n  6 -> 13 [size =\"8101888\"]\n  6 -> 17 [size =\"8101888\"]\n  7 [size=\"38494208\", alpha=\"0.17\", expect_size=\"19247104\"] \n  7 -> 12 [size =\"19247104\"]\n  7 -> 15 [size =\"19247104\"]\n  7 -> 16 [size =\"19247104\"]\n  8 [size=\"22280192\", alpha=\"0.17\", expect_size=\"11140096\"] \n  8 -> 12 [size =\"11140096\"]\n  8 -> 15 [size =\"11140096\"]\n  8 -> 16 [size =\"11140096\"]\n  9 [size=\"87042048\", alpha=\"0.16\", expect_size=\"43521024\"] \n  9 -> 13 [size =\"43521024\"]\n  9 -> 14 [size =\"43521024\"]\n  10 [size=\"56506368\", alpha=\"0.14\", expect_size=\"28253184\"] \n  10 -> 12 [size =\"28253184\"]\n  10 -> 14 [size =\"28253184\"]\n  10 -> 16 [size =\"28253184\"]\n  10 -> 18 [size =\"28253184\"]\n  10 -> 19 [size =\"28253184\"]\n  11 [size=\"36569088\", alpha=\"0.19\", expect_size=\"18284544\"] \n  11 -> 12 [size =\"18284544\"]\n  11 -> 14 [size =\"18284544\"]\n  12 [size=\"86278144\", alpha=\"0.08\", expect_size=\"43139072\"] \n  13 [size=\"41879552\", alpha=\"0.19\", expect_size=\"20939776\"] \n  14 [size=\"99414016\", alpha=\"0.06\", expect_size=\"49707008\"] \n  15 [size=\"92545024\", alpha=\"0.16\", expect_size=\"46272512\"] \n  16 [size=\"24788992\", alpha=\"0.01\", expect_size=\"12394496\"] \n  17 [size=\"80001024\", alpha=\"0.11\", expect_size=\"40000512\"] \n  18 [size=\"64065536\", alpha=\"0.09\", expect_size=\"32032768\"] \n  19 [size=\"51238912\", alpha=\"0.17\", expect_size=\"25619456\"] \n  20 [size=\"31428608\", alpha=\"0.10\", expect_size=\"15714304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67529387\", alpha=\"0.03\", expect_size=\"20258816\"] \n  1 -> 2 [size =\"20258816\"]\n  2 [size=\"110383787\", alpha=\"0.08\", expect_size=\"33115136\"] \n  2 -> 3 [size =\"33115136\"]\n  3 [size=\"87190187\", alpha=\"0.15\", expect_size=\"26157056\"] \n  3 -> 4 [size =\"26157056\"]\n  4 [size=\"154173440\", alpha=\"0.07\", expect_size=\"46252032\"] \n  4 -> 5 [size =\"46252032\"]\n  4 -> 6 [size =\"46252032\"]\n  5 [size=\"132744533\", alpha=\"0.10\", expect_size=\"39823360\"] \n  5 -> 7 [size =\"39823360\"]\n  5 -> 8 [size =\"39823360\"]\n  6 [size=\"35979947\", alpha=\"0.12\", expect_size=\"10793984\"] \n  6 -> 7 [size =\"10793984\"]\n  6 -> 8 [size =\"10793984\"]\n  7 [size=\"54091093\", alpha=\"0.20\", expect_size=\"16227328\"] \n  7 -> 9 [size =\"16227328\"]\n  8 [size=\"37597867\", alpha=\"0.03\", expect_size=\"11279360\"] \n  8 -> 9 [size =\"11279360\"]\n  9 [size=\"56477013\", alpha=\"0.07\", expect_size=\"16943104\"] \n  9 -> 10 [size =\"16943104\"]\n  10 [size=\"76796587\", alpha=\"0.01\", expect_size=\"23038976\"] \n  10 -> 11 [size =\"23038976\"]\n  10 -> 12 [size =\"23038976\"]\n  11 [size=\"160406187\", alpha=\"0.09\", expect_size=\"48121856\"] \n  11 -> 13 [size =\"48121856\"]\n  12 [size=\"26139307\", alpha=\"0.12\", expect_size=\"7841792\"] \n  12 -> 13 [size =\"7841792\"]\n  13 [size=\"90658133\", alpha=\"0.14\", expect_size=\"27197440\"] \n  13 -> 14 [size =\"27197440\"]\n  14 [size=\"49571840\", alpha=\"0.02\", expect_size=\"14871552\"] \n  14 -> 15 [size =\"14871552\"]\n  14 -> 16 [size =\"14871552\"]\n  15 [size=\"100741120\", alpha=\"0.18\", expect_size=\"30222336\"] \n  16 [size=\"18732373\", alpha=\"0.05\", expect_size=\"5619712\"] \n  16 -> 17 [size =\"5619712\"]\n  16 -> 18 [size =\"5619712\"]\n  17 [size=\"113810773\", alpha=\"0.13\", expect_size=\"34143232\"] \n  17 -> 20 [size =\"34143232\"]\n  18 [size=\"109953707\", alpha=\"0.00\", expect_size=\"32986112\"] \n  18 -> 19 [size =\"32986112\"]\n  18 -> 20 [size =\"32986112\"]\n  19 [size=\"136151040\", alpha=\"0.18\", expect_size=\"40845312\"] \n  20 [size=\"37171200\", alpha=\"0.14\", expect_size=\"11151360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98891093\", alpha=\"0.01\", expect_size=\"29667328\"] \n  1 -> 17 [size =\"29667328\"]\n  2 [size=\"105973760\", alpha=\"0.12\", expect_size=\"31792128\"] \n  2 -> 20 [size =\"31792128\"]\n  3 [size=\"110472533\", alpha=\"0.03\", expect_size=\"33141760\"] \n  3 -> 16 [size =\"33141760\"]\n  3 -> 18 [size =\"33141760\"]\n  4 [size=\"120429227\", alpha=\"0.16\", expect_size=\"36128768\"] \n  4 -> 16 [size =\"36128768\"]\n  5 [size=\"138857813\", alpha=\"0.11\", expect_size=\"41657344\"] \n  5 -> 16 [size =\"41657344\"]\n  5 -> 19 [size =\"41657344\"]\n  6 [size=\"160044373\", alpha=\"0.04\", expect_size=\"48013312\"] \n  6 -> 16 [size =\"48013312\"]\n  6 -> 19 [size =\"48013312\"]\n  7 [size=\"143001600\", alpha=\"0.05\", expect_size=\"42900480\"] \n  7 -> 16 [size =\"42900480\"]\n  7 -> 19 [size =\"42900480\"]\n  8 [size=\"51456000\", alpha=\"0.14\", expect_size=\"15436800\"] \n  8 -> 16 [size =\"15436800\"]\n  8 -> 19 [size =\"15436800\"]\n  9 [size=\"60084907\", alpha=\"0.19\", expect_size=\"18025472\"] \n  9 -> 16 [size =\"18025472\"]\n  9 -> 19 [size =\"18025472\"]\n  10 [size=\"123398827\", alpha=\"0.17\", expect_size=\"37019648\"] \n  10 -> 16 [size =\"37019648\"]\n  10 -> 19 [size =\"37019648\"]\n  11 [size=\"72642560\", alpha=\"0.16\", expect_size=\"21792768\"] \n  11 -> 16 [size =\"21792768\"]\n  11 -> 17 [size =\"21792768\"]\n  11 -> 19 [size =\"21792768\"]\n  12 [size=\"82285227\", alpha=\"0.06\", expect_size=\"24685568\"] \n  12 -> 16 [size =\"24685568\"]\n  12 -> 19 [size =\"24685568\"]\n  12 -> 19 [size =\"24685568\"]\n  13 [size=\"17855147\", alpha=\"0.18\", expect_size=\"5356544\"] \n  13 -> 19 [size =\"5356544\"]\n  14 [size=\"44707840\", alpha=\"0.02\", expect_size=\"13412352\"] \n  14 -> 16 [size =\"13412352\"]\n  14 -> 18 [size =\"13412352\"]\n  14 -> 19 [size =\"13412352\"]\n  15 [size=\"167936000\", alpha=\"0.16\", expect_size=\"50380800\"] \n  15 -> 18 [size =\"50380800\"]\n  15 -> 19 [size =\"50380800\"]\n  16 [size=\"96539307\", alpha=\"0.19\", expect_size=\"28961792\"] \n  17 [size=\"129501867\", alpha=\"0.00\", expect_size=\"38850560\"] \n  18 [size=\"167447893\", alpha=\"0.01\", expect_size=\"50234368\"] \n  19 [size=\"121548800\", alpha=\"0.06\", expect_size=\"36464640\"] \n  20 [size=\"109772800\", alpha=\"0.15\", expect_size=\"32931840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22325248\", alpha=\"0.19\", expect_size=\"11162624\"] \n  1 -> 16 [size =\"11162624\"]\n  1 -> 18 [size =\"11162624\"]\n  1 -> 19 [size =\"11162624\"]\n  2 [size=\"11180032\", alpha=\"0.14\", expect_size=\"5590016\"] \n  2 -> 16 [size =\"5590016\"]\n  2 -> 18 [size =\"5590016\"]\n  2 -> 19 [size =\"5590016\"]\n  3 [size=\"29919232\", alpha=\"0.04\", expect_size=\"14959616\"] \n  3 -> 16 [size =\"14959616\"]\n  3 -> 17 [size =\"14959616\"]\n  3 -> 18 [size =\"14959616\"]\n  3 -> 19 [size =\"14959616\"]\n  4 [size=\"56043520\", alpha=\"0.08\", expect_size=\"28021760\"] \n  4 -> 16 [size =\"28021760\"]\n  4 -> 17 [size =\"28021760\"]\n  4 -> 18 [size =\"28021760\"]\n  4 -> 19 [size =\"28021760\"]\n  5 [size=\"82223104\", alpha=\"0.08\", expect_size=\"41111552\"] \n  5 -> 16 [size =\"41111552\"]\n  5 -> 17 [size =\"41111552\"]\n  5 -> 18 [size =\"41111552\"]\n  5 -> 20 [size =\"41111552\"]\n  6 [size=\"99303424\", alpha=\"0.01\", expect_size=\"49651712\"] \n  6 -> 17 [size =\"49651712\"]\n  6 -> 18 [size =\"49651712\"]\n  6 -> 18 [size =\"49651712\"]\n  7 [size=\"52963328\", alpha=\"0.03\", expect_size=\"26481664\"] \n  7 -> 16 [size =\"26481664\"]\n  7 -> 18 [size =\"26481664\"]\n  8 [size=\"54548480\", alpha=\"0.13\", expect_size=\"27274240\"] \n  8 -> 16 [size =\"27274240\"]\n  8 -> 17 [size =\"27274240\"]\n  8 -> 18 [size =\"27274240\"]\n  9 [size=\"29409280\", alpha=\"0.12\", expect_size=\"14704640\"] \n  9 -> 16 [size =\"14704640\"]\n  9 -> 17 [size =\"14704640\"]\n  9 -> 18 [size =\"14704640\"]\n  9 -> 19 [size =\"14704640\"]\n  10 [size=\"87199744\", alpha=\"0.05\", expect_size=\"43599872\"] \n  10 -> 16 [size =\"43599872\"]\n  10 -> 18 [size =\"43599872\"]\n  10 -> 18 [size =\"43599872\"]\n  11 [size=\"87703552\", alpha=\"0.07\", expect_size=\"43851776\"] \n  11 -> 16 [size =\"43851776\"]\n  12 [size=\"81244160\", alpha=\"0.02\", expect_size=\"40622080\"] \n  12 -> 16 [size =\"40622080\"]\n  12 -> 17 [size =\"40622080\"]\n  12 -> 19 [size =\"40622080\"]\n  13 [size=\"51318784\", alpha=\"0.17\", expect_size=\"25659392\"] \n  13 -> 16 [size =\"25659392\"]\n  13 -> 17 [size =\"25659392\"]\n  13 -> 19 [size =\"25659392\"]\n  14 [size=\"69484544\", alpha=\"0.17\", expect_size=\"34742272\"] \n  14 -> 16 [size =\"34742272\"]\n  14 -> 18 [size =\"34742272\"]\n  14 -> 19 [size =\"34742272\"]\n  15 [size=\"11941888\", alpha=\"0.09\", expect_size=\"5970944\"] \n  15 -> 16 [size =\"5970944\"]\n  15 -> 17 [size =\"5970944\"]\n  15 -> 19 [size =\"5970944\"]\n  16 [size=\"50921472\", alpha=\"0.20\", expect_size=\"25460736\"] \n  17 [size=\"54472704\", alpha=\"0.14\", expect_size=\"27236352\"] \n  18 [size=\"68810752\", alpha=\"0.04\", expect_size=\"34405376\"] \n  19 [size=\"37926912\", alpha=\"0.17\", expect_size=\"18963456\"] \n  20 [size=\"96167936\", alpha=\"0.11\", expect_size=\"48083968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109953707\", alpha=\"0.11\", expect_size=\"32986112\"] \n  1 -> 2 [size =\"32986112\"]\n  2 [size=\"49093973\", alpha=\"0.13\", expect_size=\"14728192\"] \n  2 -> 3 [size =\"14728192\"]\n  3 [size=\"34863787\", alpha=\"0.06\", expect_size=\"10459136\"] \n  3 -> 4 [size =\"10459136\"]\n  4 [size=\"163669333\", alpha=\"0.13\", expect_size=\"49100800\"] \n  4 -> 5 [size =\"49100800\"]\n  5 [size=\"58238293\", alpha=\"0.18\", expect_size=\"17471488\"] \n  5 -> 6 [size =\"17471488\"]\n  6 [size=\"105045333\", alpha=\"0.07\", expect_size=\"31513600\"] \n  6 -> 7 [size =\"31513600\"]\n  7 [size=\"147616427\", alpha=\"0.06\", expect_size=\"44284928\"] \n  7 -> 8 [size =\"44284928\"]\n  8 [size=\"23186773\", alpha=\"0.12\", expect_size=\"6956032\"] \n  8 -> 9 [size =\"6956032\"]\n  9 [size=\"21766827\", alpha=\"0.12\", expect_size=\"6530048\"] \n  9 -> 10 [size =\"6530048\"]\n  10 [size=\"64727040\", alpha=\"0.10\", expect_size=\"19418112\"] \n  10 -> 11 [size =\"19418112\"]\n  11 [size=\"121006080\", alpha=\"0.07\", expect_size=\"36301824\"] \n  11 -> 12 [size =\"36301824\"]\n  12 [size=\"50807467\", alpha=\"0.16\", expect_size=\"15242240\"] \n  12 -> 13 [size =\"15242240\"]\n  13 [size=\"149422080\", alpha=\"0.07\", expect_size=\"44826624\"] \n  13 -> 14 [size =\"44826624\"]\n  14 [size=\"38884693\", alpha=\"0.15\", expect_size=\"11665408\"] \n  14 -> 15 [size =\"11665408\"]\n  15 [size=\"140492800\", alpha=\"0.18\", expect_size=\"42147840\"] \n  15 -> 16 [size =\"42147840\"]\n  16 [size=\"123985920\", alpha=\"0.10\", expect_size=\"37195776\"] \n  16 -> 17 [size =\"37195776\"]\n  17 [size=\"18926933\", alpha=\"0.08\", expect_size=\"5678080\"] \n  17 -> 18 [size =\"5678080\"]\n  18 [size=\"65245867\", alpha=\"0.12\", expect_size=\"19573760\"] \n  18 -> 19 [size =\"19573760\"]\n  19 [size=\"158020267\", alpha=\"0.11\", expect_size=\"47406080\"] \n  19 -> 20 [size =\"47406080\"]\n  20 [size=\"96522240\", alpha=\"0.19\", expect_size=\"28956672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86128640\", alpha=\"0.20\", expect_size=\"25838592\"] \n  1 -> 3 [size =\"25838592\"]\n  2 [size=\"63685973\", alpha=\"0.05\", expect_size=\"19105792\"] \n  3 [size=\"161788587\", alpha=\"0.19\", expect_size=\"48536576\"] \n  3 -> 4 [size =\"48536576\"]\n  4 [size=\"84142080\", alpha=\"0.11\", expect_size=\"25242624\"] \n  4 -> 5 [size =\"25242624\"]\n  5 [size=\"161198080\", alpha=\"0.01\", expect_size=\"48359424\"] \n  5 -> 6 [size =\"48359424\"]\n  6 [size=\"40444587\", alpha=\"0.04\", expect_size=\"12133376\"] \n  6 -> 7 [size =\"12133376\"]\n  6 -> 8 [size =\"12133376\"]\n  7 [size=\"92767573\", alpha=\"0.07\", expect_size=\"27830272\"] \n  8 [size=\"74929493\", alpha=\"0.05\", expect_size=\"22478848\"] \n  8 -> 9 [size =\"22478848\"]\n  9 [size=\"62825813\", alpha=\"0.09\", expect_size=\"18847744\"] \n  9 -> 10 [size =\"18847744\"]\n  9 -> 11 [size =\"18847744\"]\n  10 [size=\"161071787\", alpha=\"0.11\", expect_size=\"48321536\"] \n  11 [size=\"38369280\", alpha=\"0.14\", expect_size=\"11510784\"] \n  11 -> 12 [size =\"11510784\"]\n  11 -> 13 [size =\"11510784\"]\n  12 [size=\"36857173\", alpha=\"0.17\", expect_size=\"11057152\"] \n  13 [size=\"73099947\", alpha=\"0.07\", expect_size=\"21929984\"] \n  13 -> 14 [size =\"21929984\"]\n  14 [size=\"63781547\", alpha=\"0.18\", expect_size=\"19134464\"] \n  14 -> 15 [size =\"19134464\"]\n  15 [size=\"146718720\", alpha=\"0.18\", expect_size=\"44015616\"] \n  15 -> 16 [size =\"44015616\"]\n  15 -> 17 [size =\"44015616\"]\n  16 [size=\"155221333\", alpha=\"0.09\", expect_size=\"46566400\"] \n  16 -> 18 [size =\"46566400\"]\n  17 [size=\"30894080\", alpha=\"0.07\", expect_size=\"9268224\"] \n  18 [size=\"89845760\", alpha=\"0.09\", expect_size=\"26953728\"] \n  18 -> 19 [size =\"26953728\"]\n  19 [size=\"126822400\", alpha=\"0.14\", expect_size=\"38046720\"] \n  19 -> 20 [size =\"38046720\"]\n  20 [size=\"42263893\", alpha=\"0.00\", expect_size=\"12679168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10604544\", alpha=\"0.14\", expect_size=\"5302272\"] \n  1 -> 2 [size =\"5302272\"]\n  2 [size=\"58384384\", alpha=\"0.01\", expect_size=\"29192192\"] \n  2 -> 3 [size =\"29192192\"]\n  3 [size=\"45232128\", alpha=\"0.18\", expect_size=\"22616064\"] \n  3 -> 4 [size =\"22616064\"]\n  3 -> 5 [size =\"22616064\"]\n  4 [size=\"62246912\", alpha=\"0.06\", expect_size=\"31123456\"] \n  5 [size=\"26802176\", alpha=\"0.18\", expect_size=\"13401088\"] \n  5 -> 6 [size =\"13401088\"]\n  6 [size=\"53577728\", alpha=\"0.07\", expect_size=\"26788864\"] \n  6 -> 7 [size =\"26788864\"]\n  6 -> 8 [size =\"26788864\"]\n  7 [size=\"103708672\", alpha=\"0.03\", expect_size=\"51854336\"] \n  7 -> 9 [size =\"51854336\"]\n  8 [size=\"45492224\", alpha=\"0.04\", expect_size=\"22746112\"] \n  8 -> 9 [size =\"22746112\"]\n  9 [size=\"74143744\", alpha=\"0.03\", expect_size=\"37071872\"] \n  9 -> 10 [size =\"37071872\"]\n  10 [size=\"17850368\", alpha=\"0.07\", expect_size=\"8925184\"] \n  10 -> 11 [size =\"8925184\"]\n  11 [size=\"99121152\", alpha=\"0.08\", expect_size=\"49560576\"] \n  11 -> 12 [size =\"49560576\"]\n  12 [size=\"69562368\", alpha=\"0.05\", expect_size=\"34781184\"] \n  12 -> 13 [size =\"34781184\"]\n  13 [size=\"72749056\", alpha=\"0.19\", expect_size=\"36374528\"] \n  13 -> 14 [size =\"36374528\"]\n  13 -> 15 [size =\"36374528\"]\n  14 [size=\"62578688\", alpha=\"0.18\", expect_size=\"31289344\"] \n  14 -> 16 [size =\"31289344\"]\n  15 [size=\"92354560\", alpha=\"0.12\", expect_size=\"46177280\"] \n  16 [size=\"82026496\", alpha=\"0.15\", expect_size=\"41013248\"] \n  16 -> 17 [size =\"41013248\"]\n  16 -> 18 [size =\"41013248\"]\n  17 [size=\"18831360\", alpha=\"0.19\", expect_size=\"9415680\"] \n  17 -> 19 [size =\"9415680\"]\n  18 [size=\"33988608\", alpha=\"0.12\", expect_size=\"16994304\"] \n  18 -> 19 [size =\"16994304\"]\n  19 [size=\"52572160\", alpha=\"0.10\", expect_size=\"26286080\"] \n  19 -> 20 [size =\"26286080\"]\n  20 [size=\"66521088\", alpha=\"0.02\", expect_size=\"33260544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39069013\", alpha=\"0.06\", expect_size=\"11720704\"] \n  2 [size=\"123443200\", alpha=\"0.18\", expect_size=\"37032960\"] \n  2 -> 3 [size =\"37032960\"]\n  2 -> 4 [size =\"37032960\"]\n  3 [size=\"134099627\", alpha=\"0.01\", expect_size=\"40229888\"] \n  3 -> 6 [size =\"40229888\"]\n  4 [size=\"29655040\", alpha=\"0.05\", expect_size=\"8896512\"] \n  4 -> 5 [size =\"8896512\"]\n  5 [size=\"110588587\", alpha=\"0.04\", expect_size=\"33176576\"] \n  5 -> 7 [size =\"33176576\"]\n  6 [size=\"166376107\", alpha=\"0.10\", expect_size=\"49912832\"] \n  6 -> 8 [size =\"49912832\"]\n  6 -> 9 [size =\"49912832\"]\n  7 [size=\"139963733\", alpha=\"0.01\", expect_size=\"41989120\"] \n  7 -> 12 [size =\"41989120\"]\n  8 [size=\"53971627\", alpha=\"0.04\", expect_size=\"16191488\"] \n  8 -> 11 [size =\"16191488\"]\n  9 [size=\"59224747\", alpha=\"0.11\", expect_size=\"17767424\"] \n  9 -> 10 [size =\"17767424\"]\n  9 -> 11 [size =\"17767424\"]\n  10 [size=\"134519467\", alpha=\"0.17\", expect_size=\"40355840\"] \n  10 -> 15 [size =\"40355840\"]\n  11 [size=\"111530667\", alpha=\"0.09\", expect_size=\"33459200\"] \n  11 -> 14 [size =\"33459200\"]\n  11 -> 15 [size =\"33459200\"]\n  11 -> 16 [size =\"33459200\"]\n  12 [size=\"159604053\", alpha=\"0.03\", expect_size=\"47881216\"] \n  12 -> 13 [size =\"47881216\"]\n  13 [size=\"143400960\", alpha=\"0.03\", expect_size=\"43020288\"] \n  13 -> 17 [size =\"43020288\"]\n  13 -> 18 [size =\"43020288\"]\n  14 [size=\"153364480\", alpha=\"0.03\", expect_size=\"46009344\"] \n  15 [size=\"33143467\", alpha=\"0.14\", expect_size=\"9943040\"] \n  15 -> 17 [size =\"9943040\"]\n  15 -> 18 [size =\"9943040\"]\n  15 -> 19 [size =\"9943040\"]\n  16 [size=\"66396160\", alpha=\"0.14\", expect_size=\"19918848\"] \n  16 -> 19 [size =\"19918848\"]\n  17 [size=\"147056640\", alpha=\"0.19\", expect_size=\"44116992\"] \n  17 -> 20 [size =\"44116992\"]\n  18 [size=\"151077547\", alpha=\"0.13\", expect_size=\"45323264\"] \n  19 [size=\"27422720\", alpha=\"0.08\", expect_size=\"8226816\"] \n  20 [size=\"112585387\", alpha=\"0.16\", expect_size=\"33775616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47312213\", alpha=\"0.07\", expect_size=\"14193664\"] \n  1 -> 2 [size =\"14193664\"]\n  1 -> 3 [size =\"14193664\"]\n  2 [size=\"104195413\", alpha=\"0.17\", expect_size=\"31258624\"] \n  2 -> 4 [size =\"31258624\"]\n  3 [size=\"99945813\", alpha=\"0.05\", expect_size=\"29983744\"] \n  3 -> 5 [size =\"29983744\"]\n  4 [size=\"163802453\", alpha=\"0.10\", expect_size=\"49140736\"] \n  5 [size=\"76004693\", alpha=\"0.07\", expect_size=\"22801408\"] \n  5 -> 6 [size =\"22801408\"]\n  6 [size=\"67167573\", alpha=\"0.17\", expect_size=\"20150272\"] \n  6 -> 7 [size =\"20150272\"]\n  7 [size=\"37068800\", alpha=\"0.01\", expect_size=\"11120640\"] \n  7 -> 8 [size =\"11120640\"]\n  8 [size=\"100352000\", alpha=\"0.13\", expect_size=\"30105600\"] \n  8 -> 9 [size =\"30105600\"]\n  8 -> 10 [size =\"30105600\"]\n  9 [size=\"28231680\", alpha=\"0.02\", expect_size=\"8469504\"] \n  9 -> 12 [size =\"8469504\"]\n  10 [size=\"148787200\", alpha=\"0.06\", expect_size=\"44636160\"] \n  10 -> 11 [size =\"44636160\"]\n  10 -> 12 [size =\"44636160\"]\n  11 [size=\"117736107\", alpha=\"0.12\", expect_size=\"35320832\"] \n  11 -> 13 [size =\"35320832\"]\n  12 [size=\"17694720\", alpha=\"0.03\", expect_size=\"5308416\"] \n  13 [size=\"148299093\", alpha=\"0.16\", expect_size=\"44489728\"] \n  13 -> 14 [size =\"44489728\"]\n  14 [size=\"33870507\", alpha=\"0.13\", expect_size=\"10161152\"] \n  14 -> 15 [size =\"10161152\"]\n  14 -> 16 [size =\"10161152\"]\n  15 [size=\"113332907\", alpha=\"0.07\", expect_size=\"33999872\"] \n  15 -> 17 [size =\"33999872\"]\n  16 [size=\"169216000\", alpha=\"0.09\", expect_size=\"50764800\"] \n  17 [size=\"146377387\", alpha=\"0.03\", expect_size=\"43913216\"] \n  17 -> 18 [size =\"43913216\"]\n  18 [size=\"150323200\", alpha=\"0.01\", expect_size=\"45096960\"] \n  18 -> 19 [size =\"45096960\"]\n  18 -> 20 [size =\"45096960\"]\n  19 [size=\"91951787\", alpha=\"0.03\", expect_size=\"27585536\"] \n  20 [size=\"107721387\", alpha=\"0.10\", expect_size=\"32316416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45273600\", alpha=\"0.17\", expect_size=\"18109440\"] \n  1 -> 8 [size =\"18109440\"]\n  1 -> 8 [size =\"18109440\"]\n  1 -> 12 [size =\"18109440\"]\n  1 -> 13 [size =\"18109440\"]\n  2 [size=\"28933120\", alpha=\"0.03\", expect_size=\"11573248\"] \n  2 -> 9 [size =\"11573248\"]\n  2 -> 10 [size =\"11573248\"]\n  2 -> 14 [size =\"11573248\"]\n  3 [size=\"47132160\", alpha=\"0.10\", expect_size=\"18852864\"] \n  3 -> 6 [size =\"18852864\"]\n  3 -> 7 [size =\"18852864\"]\n  3 -> 9 [size =\"18852864\"]\n  3 -> 10 [size =\"18852864\"]\n  3 -> 14 [size =\"18852864\"]\n  4 [size=\"61424640\", alpha=\"0.04\", expect_size=\"24569856\"] \n  4 -> 6 [size =\"24569856\"]\n  4 -> 8 [size =\"24569856\"]\n  4 -> 9 [size =\"24569856\"]\n  4 -> 10 [size =\"24569856\"]\n  4 -> 11 [size =\"24569856\"]\n  5 [size=\"40376320\", alpha=\"0.19\", expect_size=\"16150528\"] \n  5 -> 6 [size =\"16150528\"]\n  5 -> 8 [size =\"16150528\"]\n  5 -> 9 [size =\"16150528\"]\n  5 -> 10 [size =\"16150528\"]\n  5 -> 13 [size =\"16150528\"]\n  6 [size=\"90805760\", alpha=\"0.15\", expect_size=\"36322304\"] \n  6 -> 17 [size =\"36322304\"]\n  7 [size=\"93726720\", alpha=\"0.06\", expect_size=\"37490688\"] \n  7 -> 15 [size =\"37490688\"]\n  7 -> 17 [size =\"37490688\"]\n  7 -> 19 [size =\"37490688\"]\n  8 [size=\"68541440\", alpha=\"0.12\", expect_size=\"27416576\"] \n  8 -> 15 [size =\"27416576\"]\n  8 -> 16 [size =\"27416576\"]\n  8 -> 17 [size =\"27416576\"]\n  8 -> 18 [size =\"27416576\"]\n  8 -> 19 [size =\"27416576\"]\n  9 [size=\"18698240\", alpha=\"0.07\", expect_size=\"7479296\"] \n  9 -> 15 [size =\"7479296\"]\n  9 -> 17 [size =\"7479296\"]\n  9 -> 18 [size =\"7479296\"]\n  10 [size=\"44331520\", alpha=\"0.10\", expect_size=\"17732608\"] \n  10 -> 18 [size =\"17732608\"]\n  11 [size=\"22120960\", alpha=\"0.15\", expect_size=\"8848384\"] \n  11 -> 15 [size =\"8848384\"]\n  11 -> 16 [size =\"8848384\"]\n  11 -> 18 [size =\"8848384\"]\n  12 [size=\"119718400\", alpha=\"0.20\", expect_size=\"47887360\"] \n  12 -> 18 [size =\"47887360\"]\n  13 [size=\"18567680\", alpha=\"0.02\", expect_size=\"7427072\"] \n  13 -> 15 [size =\"7427072\"]\n  13 -> 17 [size =\"7427072\"]\n  13 -> 18 [size =\"7427072\"]\n  14 [size=\"78630400\", alpha=\"0.15\", expect_size=\"31452160\"] \n  14 -> 19 [size =\"31452160\"]\n  15 [size=\"102277120\", alpha=\"0.17\", expect_size=\"40910848\"] \n  15 -> 20 [size =\"40910848\"]\n  16 [size=\"97679360\", alpha=\"0.11\", expect_size=\"39071744\"] \n  17 [size=\"68526080\", alpha=\"0.14\", expect_size=\"27410432\"] \n  18 [size=\"105546240\", alpha=\"0.00\", expect_size=\"42218496\"] \n  19 [size=\"58598400\", alpha=\"0.09\", expect_size=\"23439360\"] \n  19 -> 20 [size =\"23439360\"]\n  20 [size=\"101163520\", alpha=\"0.11\", expect_size=\"40465408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76346880\", alpha=\"0.14\", expect_size=\"30538752\"] \n  1 -> 2 [size =\"30538752\"]\n  2 [size=\"76188160\", alpha=\"0.07\", expect_size=\"30475264\"] \n  2 -> 3 [size =\"30475264\"]\n  3 [size=\"113216000\", alpha=\"0.10\", expect_size=\"45286400\"] \n  3 -> 4 [size =\"45286400\"]\n  4 [size=\"15797760\", alpha=\"0.00\", expect_size=\"6319104\"] \n  4 -> 5 [size =\"6319104\"]\n  5 [size=\"39659520\", alpha=\"0.09\", expect_size=\"15863808\"] \n  5 -> 6 [size =\"15863808\"]\n  6 [size=\"91914240\", alpha=\"0.01\", expect_size=\"36765696\"] \n  6 -> 7 [size =\"36765696\"]\n  7 [size=\"45839360\", alpha=\"0.02\", expect_size=\"18335744\"] \n  7 -> 8 [size =\"18335744\"]\n  8 [size=\"85463040\", alpha=\"0.03\", expect_size=\"34185216\"] \n  8 -> 9 [size =\"34185216\"]\n  9 [size=\"46366720\", alpha=\"0.03\", expect_size=\"18546688\"] \n  9 -> 10 [size =\"18546688\"]\n  10 [size=\"121774080\", alpha=\"0.11\", expect_size=\"48709632\"] \n  10 -> 11 [size =\"48709632\"]\n  11 [size=\"58997760\", alpha=\"0.07\", expect_size=\"23599104\"] \n  11 -> 12 [size =\"23599104\"]\n  12 [size=\"23290880\", alpha=\"0.06\", expect_size=\"9316352\"] \n  12 -> 13 [size =\"9316352\"]\n  13 [size=\"66465280\", alpha=\"0.17\", expect_size=\"26586112\"] \n  13 -> 14 [size =\"26586112\"]\n  14 [size=\"126528000\", alpha=\"0.16\", expect_size=\"50611200\"] \n  14 -> 15 [size =\"50611200\"]\n  15 [size=\"128609280\", alpha=\"0.18\", expect_size=\"51443712\"] \n  15 -> 16 [size =\"51443712\"]\n  16 [size=\"61242880\", alpha=\"0.06\", expect_size=\"24497152\"] \n  16 -> 17 [size =\"24497152\"]\n  17 [size=\"68334080\", alpha=\"0.10\", expect_size=\"27333632\"] \n  17 -> 18 [size =\"27333632\"]\n  18 [size=\"83010560\", alpha=\"0.13\", expect_size=\"33204224\"] \n  18 -> 19 [size =\"33204224\"]\n  19 [size=\"99304960\", alpha=\"0.18\", expect_size=\"39721984\"] \n  19 -> 20 [size =\"39721984\"]\n  20 [size=\"115148800\", alpha=\"0.01\", expect_size=\"46059520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30736384\", alpha=\"0.14\", expect_size=\"15368192\"] \n  1 -> 6 [size =\"15368192\"]\n  2 [size=\"87769088\", alpha=\"0.08\", expect_size=\"43884544\"] \n  2 -> 5 [size =\"43884544\"]\n  3 [size=\"78297088\", alpha=\"0.02\", expect_size=\"39148544\"] \n  3 -> 5 [size =\"39148544\"]\n  3 -> 7 [size =\"39148544\"]\n  4 [size=\"46004224\", alpha=\"0.04\", expect_size=\"23002112\"] \n  4 -> 8 [size =\"23002112\"]\n  5 [size=\"11034624\", alpha=\"0.05\", expect_size=\"5517312\"] \n  6 [size=\"28024832\", alpha=\"0.13\", expect_size=\"14012416\"] \n  6 -> 10 [size =\"14012416\"]\n  6 -> 12 [size =\"14012416\"]\n  7 [size=\"71804928\", alpha=\"0.09\", expect_size=\"35902464\"] \n  7 -> 11 [size =\"35902464\"]\n  7 -> 12 [size =\"35902464\"]\n  8 [size=\"73250816\", alpha=\"0.19\", expect_size=\"36625408\"] \n  8 -> 9 [size =\"36625408\"]\n  8 -> 11 [size =\"36625408\"]\n  9 [size=\"84824064\", alpha=\"0.18\", expect_size=\"42412032\"] \n  9 -> 13 [size =\"42412032\"]\n  9 -> 14 [size =\"42412032\"]\n  9 -> 15 [size =\"42412032\"]\n  10 [size=\"44513280\", alpha=\"0.03\", expect_size=\"22256640\"] \n  11 [size=\"42797056\", alpha=\"0.03\", expect_size=\"21398528\"] \n  12 [size=\"14893056\", alpha=\"0.10\", expect_size=\"7446528\"] \n  12 -> 13 [size =\"7446528\"]\n  13 [size=\"52297728\", alpha=\"0.06\", expect_size=\"26148864\"] \n  13 -> 16 [size =\"26148864\"]\n  13 -> 17 [size =\"26148864\"]\n  13 -> 18 [size =\"26148864\"]\n  14 [size=\"62523392\", alpha=\"0.10\", expect_size=\"31261696\"] \n  14 -> 16 [size =\"31261696\"]\n  14 -> 17 [size =\"31261696\"]\n  15 [size=\"81125376\", alpha=\"0.09\", expect_size=\"40562688\"] \n  16 [size=\"10489856\", alpha=\"0.15\", expect_size=\"5244928\"] \n  16 -> 19 [size =\"5244928\"]\n  16 -> 20 [size =\"5244928\"]\n  17 [size=\"71415808\", alpha=\"0.01\", expect_size=\"35707904\"] \n  17 -> 19 [size =\"35707904\"]\n  18 [size=\"21813248\", alpha=\"0.17\", expect_size=\"10906624\"] \n  19 [size=\"17991680\", alpha=\"0.04\", expect_size=\"8995840\"] \n  20 [size=\"102868992\", alpha=\"0.19\", expect_size=\"51434496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11231232\", alpha=\"0.18\", expect_size=\"5615616\"] \n  1 -> 10 [size =\"5615616\"]\n  1 -> 13 [size =\"5615616\"]\n  2 [size=\"51212288\", alpha=\"0.06\", expect_size=\"25606144\"] \n  2 -> 8 [size =\"25606144\"]\n  2 -> 10 [size =\"25606144\"]\n  3 [size=\"103157760\", alpha=\"0.14\", expect_size=\"51578880\"] \n  3 -> 7 [size =\"51578880\"]\n  4 [size=\"58943488\", alpha=\"0.12\", expect_size=\"29471744\"] \n  4 -> 8 [size =\"29471744\"]\n  4 -> 13 [size =\"29471744\"]\n  4 -> 14 [size =\"29471744\"]\n  4 -> 16 [size =\"29471744\"]\n  5 [size=\"37498880\", alpha=\"0.14\", expect_size=\"18749440\"] \n  5 -> 7 [size =\"18749440\"]\n  5 -> 8 [size =\"18749440\"]\n  5 -> 11 [size =\"18749440\"]\n  5 -> 13 [size =\"18749440\"]\n  5 -> 14 [size =\"18749440\"]\n  5 -> 15 [size =\"18749440\"]\n  5 -> 16 [size =\"18749440\"]\n  6 [size=\"46430208\", alpha=\"0.08\", expect_size=\"23215104\"] \n  6 -> 9 [size =\"23215104\"]\n  6 -> 10 [size =\"23215104\"]\n  6 -> 12 [size =\"23215104\"]\n  7 [size=\"36968448\", alpha=\"0.08\", expect_size=\"18484224\"] \n  7 -> 18 [size =\"18484224\"]\n  8 [size=\"19214336\", alpha=\"0.18\", expect_size=\"9607168\"] \n  8 -> 18 [size =\"9607168\"]\n  8 -> 19 [size =\"9607168\"]\n  8 -> 20 [size =\"9607168\"]\n  9 [size=\"13916160\", alpha=\"0.01\", expect_size=\"6958080\"] \n  10 [size=\"104499200\", alpha=\"0.17\", expect_size=\"52249600\"] \n  11 [size=\"26515456\", alpha=\"0.09\", expect_size=\"13257728\"] \n  12 [size=\"18800640\", alpha=\"0.10\", expect_size=\"9400320\"] \n  12 -> 19 [size =\"9400320\"]\n  13 [size=\"47988736\", alpha=\"0.08\", expect_size=\"23994368\"] \n  13 -> 17 [size =\"23994368\"]\n  14 [size=\"20930560\", alpha=\"0.06\", expect_size=\"10465280\"] \n  15 [size=\"76019712\", alpha=\"0.07\", expect_size=\"38009856\"] \n  15 -> 19 [size =\"38009856\"]\n  16 [size=\"49285120\", alpha=\"0.13\", expect_size=\"24642560\"] \n  16 -> 18 [size =\"24642560\"]\n  17 [size=\"85716992\", alpha=\"0.07\", expect_size=\"42858496\"] \n  18 [size=\"26855424\", alpha=\"0.11\", expect_size=\"13427712\"] \n  19 [size=\"15597568\", alpha=\"0.11\", expect_size=\"7798784\"] \n  20 [size=\"22403072\", alpha=\"0.16\", expect_size=\"11201536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102936576\", alpha=\"0.13\", expect_size=\"51468288\"] \n  1 -> 6 [size =\"51468288\"]\n  1 -> 8 [size =\"51468288\"]\n  1 -> 9 [size =\"51468288\"]\n  1 -> 11 [size =\"51468288\"]\n  1 -> 13 [size =\"51468288\"]\n  2 [size=\"26791936\", alpha=\"0.03\", expect_size=\"13395968\"] \n  2 -> 6 [size =\"13395968\"]\n  2 -> 8 [size =\"13395968\"]\n  2 -> 9 [size =\"13395968\"]\n  2 -> 11 [size =\"13395968\"]\n  2 -> 13 [size =\"13395968\"]\n  3 [size=\"48242688\", alpha=\"0.06\", expect_size=\"24121344\"] \n  3 -> 6 [size =\"24121344\"]\n  3 -> 7 [size =\"24121344\"]\n  3 -> 8 [size =\"24121344\"]\n  3 -> 9 [size =\"24121344\"]\n  3 -> 12 [size =\"24121344\"]\n  3 -> 13 [size =\"24121344\"]\n  4 [size=\"13180928\", alpha=\"0.14\", expect_size=\"6590464\"] \n  4 -> 8 [size =\"6590464\"]\n  4 -> 9 [size =\"6590464\"]\n  4 -> 10 [size =\"6590464\"]\n  4 -> 13 [size =\"6590464\"]\n  5 [size=\"48965632\", alpha=\"0.05\", expect_size=\"24482816\"] \n  5 -> 6 [size =\"24482816\"]\n  5 -> 8 [size =\"24482816\"]\n  5 -> 9 [size =\"24482816\"]\n  5 -> 13 [size =\"24482816\"]\n  6 [size=\"19697664\", alpha=\"0.18\", expect_size=\"9848832\"] \n  6 -> 14 [size =\"9848832\"]\n  6 -> 15 [size =\"9848832\"]\n  6 -> 16 [size =\"9848832\"]\n  6 -> 19 [size =\"9848832\"]\n  7 [size=\"68382720\", alpha=\"0.01\", expect_size=\"34191360\"] \n  7 -> 14 [size =\"34191360\"]\n  7 -> 15 [size =\"34191360\"]\n  7 -> 16 [size =\"34191360\"]\n  7 -> 18 [size =\"34191360\"]\n  7 -> 19 [size =\"34191360\"]\n  8 [size=\"78163968\", alpha=\"0.19\", expect_size=\"39081984\"] \n  8 -> 14 [size =\"39081984\"]\n  8 -> 15 [size =\"39081984\"]\n  8 -> 16 [size =\"39081984\"]\n  8 -> 17 [size =\"39081984\"]\n  8 -> 19 [size =\"39081984\"]\n  9 [size=\"24850432\", alpha=\"0.15\", expect_size=\"12425216\"] \n  9 -> 14 [size =\"12425216\"]\n  9 -> 15 [size =\"12425216\"]\n  9 -> 18 [size =\"12425216\"]\n  9 -> 19 [size =\"12425216\"]\n  9 -> 19 [size =\"12425216\"]\n  10 [size=\"26376192\", alpha=\"0.01\", expect_size=\"13188096\"] \n  10 -> 14 [size =\"13188096\"]\n  10 -> 17 [size =\"13188096\"]\n  10 -> 18 [size =\"13188096\"]\n  11 [size=\"40613888\", alpha=\"0.18\", expect_size=\"20306944\"] \n  11 -> 14 [size =\"20306944\"]\n  11 -> 15 [size =\"20306944\"]\n  11 -> 18 [size =\"20306944\"]\n  12 [size=\"102610944\", alpha=\"0.06\", expect_size=\"51305472\"] \n  12 -> 14 [size =\"51305472\"]\n  12 -> 15 [size =\"51305472\"]\n  12 -> 16 [size =\"51305472\"]\n  12 -> 17 [size =\"51305472\"]\n  12 -> 19 [size =\"51305472\"]\n  13 [size=\"22900736\", alpha=\"0.17\", expect_size=\"11450368\"] \n  13 -> 14 [size =\"11450368\"]\n  13 -> 15 [size =\"11450368\"]\n  13 -> 19 [size =\"11450368\"]\n  14 [size=\"53188608\", alpha=\"0.19\", expect_size=\"26594304\"] \n  14 -> 20 [size =\"26594304\"]\n  15 [size=\"25948160\", alpha=\"0.04\", expect_size=\"12974080\"] \n  16 [size=\"51851264\", alpha=\"0.04\", expect_size=\"25925632\"] \n  16 -> 20 [size =\"25925632\"]\n  17 [size=\"42199040\", alpha=\"0.17\", expect_size=\"21099520\"] \n  17 -> 20 [size =\"21099520\"]\n  18 [size=\"48062464\", alpha=\"0.13\", expect_size=\"24031232\"] \n  19 [size=\"42391552\", alpha=\"0.17\", expect_size=\"21195776\"] \n  19 -> 20 [size =\"21195776\"]\n  20 [size=\"18167808\", alpha=\"0.14\", expect_size=\"9083904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142045867\", alpha=\"0.06\", expect_size=\"42613760\"] \n  1 -> 8 [size =\"42613760\"]\n  1 -> 9 [size =\"42613760\"]\n  1 -> 10 [size =\"42613760\"]\n  1 -> 13 [size =\"42613760\"]\n  1 -> 16 [size =\"42613760\"]\n  2 [size=\"77271040\", alpha=\"0.11\", expect_size=\"23181312\"] \n  2 -> 8 [size =\"23181312\"]\n  2 -> 13 [size =\"23181312\"]\n  2 -> 14 [size =\"23181312\"]\n  2 -> 16 [size =\"23181312\"]\n  3 [size=\"68792320\", alpha=\"0.17\", expect_size=\"20637696\"] \n  3 -> 10 [size =\"20637696\"]\n  3 -> 11 [size =\"20637696\"]\n  3 -> 12 [size =\"20637696\"]\n  3 -> 16 [size =\"20637696\"]\n  4 [size=\"37225813\", alpha=\"0.11\", expect_size=\"11167744\"] \n  4 -> 14 [size =\"11167744\"]\n  4 -> 15 [size =\"11167744\"]\n  5 [size=\"117067093\", alpha=\"0.16\", expect_size=\"35120128\"] \n  5 -> 9 [size =\"35120128\"]\n  5 -> 13 [size =\"35120128\"]\n  5 -> 15 [size =\"35120128\"]\n  6 [size=\"121944747\", alpha=\"0.14\", expect_size=\"36583424\"] \n  6 -> 7 [size =\"36583424\"]\n  6 -> 9 [size =\"36583424\"]\n  6 -> 14 [size =\"36583424\"]\n  6 -> 16 [size =\"36583424\"]\n  7 [size=\"19104427\", alpha=\"0.17\", expect_size=\"5731328\"] \n  7 -> 17 [size =\"5731328\"]\n  7 -> 18 [size =\"5731328\"]\n  8 [size=\"100283733\", alpha=\"0.15\", expect_size=\"30085120\"] \n  8 -> 20 [size =\"30085120\"]\n  9 [size=\"149159253\", alpha=\"0.07\", expect_size=\"44747776\"] \n  9 -> 17 [size =\"44747776\"]\n  9 -> 18 [size =\"44747776\"]\n  9 -> 20 [size =\"44747776\"]\n  10 [size=\"172086613\", alpha=\"0.05\", expect_size=\"51625984\"] \n  10 -> 18 [size =\"51625984\"]\n  10 -> 19 [size =\"51625984\"]\n  11 [size=\"154565973\", alpha=\"0.02\", expect_size=\"46369792\"] \n  11 -> 18 [size =\"46369792\"]\n  12 [size=\"45516800\", alpha=\"0.18\", expect_size=\"13655040\"] \n  12 -> 19 [size =\"13655040\"]\n  13 [size=\"130037760\", alpha=\"0.06\", expect_size=\"39011328\"] \n  13 -> 19 [size =\"39011328\"]\n  13 -> 20 [size =\"39011328\"]\n  14 [size=\"109277867\", alpha=\"0.09\", expect_size=\"32783360\"] \n  15 [size=\"39843840\", alpha=\"0.04\", expect_size=\"11953152\"] \n  15 -> 18 [size =\"11953152\"]\n  16 [size=\"163092480\", alpha=\"0.02\", expect_size=\"48927744\"] \n  17 [size=\"113851733\", alpha=\"0.03\", expect_size=\"34155520\"] \n  18 [size=\"94047573\", alpha=\"0.06\", expect_size=\"28214272\"] \n  19 [size=\"52411733\", alpha=\"0.03\", expect_size=\"15723520\"] \n  20 [size=\"106748587\", alpha=\"0.05\", expect_size=\"32024576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99924480\", alpha=\"0.11\", expect_size=\"39969792\"] \n  1 -> 2 [size =\"39969792\"]\n  2 [size=\"29032960\", alpha=\"0.01\", expect_size=\"11613184\"] \n  2 -> 3 [size =\"11613184\"]\n  3 [size=\"101171200\", alpha=\"0.12\", expect_size=\"40468480\"] \n  3 -> 4 [size =\"40468480\"]\n  4 [size=\"63513600\", alpha=\"0.20\", expect_size=\"25405440\"] \n  4 -> 5 [size =\"25405440\"]\n  4 -> 6 [size =\"25405440\"]\n  5 [size=\"88386560\", alpha=\"0.05\", expect_size=\"35354624\"] \n  5 -> 7 [size =\"35354624\"]\n  6 [size=\"16373760\", alpha=\"0.14\", expect_size=\"6549504\"] \n  7 [size=\"69639680\", alpha=\"0.04\", expect_size=\"27855872\"] \n  7 -> 8 [size =\"27855872\"]\n  7 -> 9 [size =\"27855872\"]\n  8 [size=\"120796160\", alpha=\"0.09\", expect_size=\"48318464\"] \n  9 [size=\"74071040\", alpha=\"0.02\", expect_size=\"29628416\"] \n  9 -> 10 [size =\"29628416\"]\n  9 -> 11 [size =\"29628416\"]\n  10 [size=\"73779200\", alpha=\"0.16\", expect_size=\"29511680\"] \n  11 [size=\"65566720\", alpha=\"0.17\", expect_size=\"26226688\"] \n  11 -> 12 [size =\"26226688\"]\n  11 -> 13 [size =\"26226688\"]\n  12 [size=\"131023360\", alpha=\"0.13\", expect_size=\"52409344\"] \n  13 [size=\"19351040\", alpha=\"0.09\", expect_size=\"7740416\"] \n  13 -> 14 [size =\"7740416\"]\n  13 -> 15 [size =\"7740416\"]\n  14 [size=\"92695040\", alpha=\"0.02\", expect_size=\"37078016\"] \n  14 -> 16 [size =\"37078016\"]\n  15 [size=\"91361280\", alpha=\"0.15\", expect_size=\"36544512\"] \n  16 [size=\"118638080\", alpha=\"0.04\", expect_size=\"47455232\"] \n  16 -> 17 [size =\"47455232\"]\n  16 -> 18 [size =\"47455232\"]\n  17 [size=\"85350400\", alpha=\"0.18\", expect_size=\"34140160\"] \n  17 -> 20 [size =\"34140160\"]\n  18 [size=\"110261760\", alpha=\"0.07\", expect_size=\"44104704\"] \n  18 -> 19 [size =\"44104704\"]\n  19 [size=\"46410240\", alpha=\"0.12\", expect_size=\"18564096\"] \n  20 [size=\"58905600\", alpha=\"0.07\", expect_size=\"23562240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33338027\", alpha=\"0.02\", expect_size=\"10001408\"] \n  1 -> 11 [size =\"10001408\"]\n  1 -> 13 [size =\"10001408\"]\n  1 -> 14 [size =\"10001408\"]\n  1 -> 15 [size =\"10001408\"]\n  1 -> 16 [size =\"10001408\"]\n  2 [size=\"47667200\", alpha=\"0.19\", expect_size=\"14300160\"] \n  2 -> 10 [size =\"14300160\"]\n  2 -> 15 [size =\"14300160\"]\n  2 -> 16 [size =\"14300160\"]\n  2 -> 19 [size =\"14300160\"]\n  3 [size=\"58637653\", alpha=\"0.19\", expect_size=\"17591296\"] \n  3 -> 10 [size =\"17591296\"]\n  3 -> 15 [size =\"17591296\"]\n  3 -> 16 [size =\"17591296\"]\n  4 [size=\"99034453\", alpha=\"0.07\", expect_size=\"29710336\"] \n  4 -> 11 [size =\"29710336\"]\n  4 -> 12 [size =\"29710336\"]\n  4 -> 14 [size =\"29710336\"]\n  4 -> 15 [size =\"29710336\"]\n  4 -> 16 [size =\"29710336\"]\n  4 -> 18 [size =\"29710336\"]\n  4 -> 20 [size =\"29710336\"]\n  5 [size=\"21968213\", alpha=\"0.10\", expect_size=\"6590464\"] \n  5 -> 11 [size =\"6590464\"]\n  5 -> 12 [size =\"6590464\"]\n  5 -> 15 [size =\"6590464\"]\n  5 -> 15 [size =\"6590464\"]\n  5 -> 16 [size =\"6590464\"]\n  5 -> 17 [size =\"6590464\"]\n  5 -> 20 [size =\"6590464\"]\n  6 [size=\"150401707\", alpha=\"0.02\", expect_size=\"45120512\"] \n  6 -> 15 [size =\"45120512\"]\n  6 -> 16 [size =\"45120512\"]\n  6 -> 17 [size =\"45120512\"]\n  6 -> 19 [size =\"45120512\"]\n  7 [size=\"93276160\", alpha=\"0.07\", expect_size=\"27982848\"] \n  7 -> 11 [size =\"27982848\"]\n  7 -> 16 [size =\"27982848\"]\n  7 -> 19 [size =\"27982848\"]\n  8 [size=\"153593173\", alpha=\"0.12\", expect_size=\"46077952\"] \n  8 -> 11 [size =\"46077952\"]\n  8 -> 15 [size =\"46077952\"]\n  8 -> 18 [size =\"46077952\"]\n  8 -> 19 [size =\"46077952\"]\n  9 [size=\"109154987\", alpha=\"0.04\", expect_size=\"32746496\"] \n  9 -> 11 [size =\"32746496\"]\n  9 -> 12 [size =\"32746496\"]\n  9 -> 13 [size =\"32746496\"]\n  9 -> 15 [size =\"32746496\"]\n  9 -> 16 [size =\"32746496\"]\n  9 -> 20 [size =\"32746496\"]\n  10 [size=\"35000320\", alpha=\"0.08\", expect_size=\"10500096\"] \n  11 [size=\"125276160\", alpha=\"0.19\", expect_size=\"37582848\"] \n  12 [size=\"139028480\", alpha=\"0.16\", expect_size=\"41708544\"] \n  13 [size=\"130747733\", alpha=\"0.19\", expect_size=\"39224320\"] \n  14 [size=\"124811947\", alpha=\"0.04\", expect_size=\"37443584\"] \n  15 [size=\"21910187\", alpha=\"0.14\", expect_size=\"6573056\"] \n  16 [size=\"101403307\", alpha=\"0.12\", expect_size=\"30420992\"] \n  17 [size=\"113742507\", alpha=\"0.17\", expect_size=\"34122752\"] \n  18 [size=\"167591253\", alpha=\"0.16\", expect_size=\"50277376\"] \n  19 [size=\"105861120\", alpha=\"0.09\", expect_size=\"31758336\"] \n  20 [size=\"141243733\", alpha=\"0.18\", expect_size=\"42373120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47136768\", alpha=\"0.07\", expect_size=\"23568384\"] \n  1 -> 2 [size =\"23568384\"]\n  2 [size=\"40706048\", alpha=\"0.02\", expect_size=\"20353024\"] \n  2 -> 3 [size =\"20353024\"]\n  2 -> 4 [size =\"20353024\"]\n  3 [size=\"88961024\", alpha=\"0.02\", expect_size=\"44480512\"] \n  3 -> 5 [size =\"44480512\"]\n  4 [size=\"95297536\", alpha=\"0.10\", expect_size=\"47648768\"] \n  4 -> 5 [size =\"47648768\"]\n  5 [size=\"57987072\", alpha=\"0.04\", expect_size=\"28993536\"] \n  5 -> 6 [size =\"28993536\"]\n  5 -> 7 [size =\"28993536\"]\n  6 [size=\"73744384\", alpha=\"0.12\", expect_size=\"36872192\"] \n  6 -> 8 [size =\"36872192\"]\n  7 [size=\"45621248\", alpha=\"0.11\", expect_size=\"22810624\"] \n  7 -> 8 [size =\"22810624\"]\n  8 [size=\"57767936\", alpha=\"0.12\", expect_size=\"28883968\"] \n  8 -> 9 [size =\"28883968\"]\n  9 [size=\"92395520\", alpha=\"0.02\", expect_size=\"46197760\"] \n  9 -> 10 [size =\"46197760\"]\n  10 [size=\"29691904\", alpha=\"0.00\", expect_size=\"14845952\"] \n  10 -> 11 [size =\"14845952\"]\n  11 [size=\"77238272\", alpha=\"0.18\", expect_size=\"38619136\"] \n  11 -> 12 [size =\"38619136\"]\n  11 -> 13 [size =\"38619136\"]\n  12 [size=\"17248256\", alpha=\"0.16\", expect_size=\"8624128\"] \n  12 -> 14 [size =\"8624128\"]\n  13 [size=\"28166144\", alpha=\"0.00\", expect_size=\"14083072\"] \n  13 -> 14 [size =\"14083072\"]\n  14 [size=\"37115904\", alpha=\"0.01\", expect_size=\"18557952\"] \n  14 -> 15 [size =\"18557952\"]\n  15 [size=\"83111936\", alpha=\"0.19\", expect_size=\"41555968\"] \n  15 -> 16 [size =\"41555968\"]\n  16 [size=\"104011776\", alpha=\"0.05\", expect_size=\"52005888\"] \n  16 -> 17 [size =\"52005888\"]\n  16 -> 18 [size =\"52005888\"]\n  17 [size=\"68009984\", alpha=\"0.15\", expect_size=\"34004992\"] \n  17 -> 19 [size =\"34004992\"]\n  17 -> 20 [size =\"34004992\"]\n  18 [size=\"27469824\", alpha=\"0.05\", expect_size=\"13734912\"] \n  18 -> 19 [size =\"13734912\"]\n  19 [size=\"84428800\", alpha=\"0.13\", expect_size=\"42214400\"] \n  20 [size=\"91951104\", alpha=\"0.01\", expect_size=\"45975552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115725653\", alpha=\"0.01\", expect_size=\"34717696\"] \n  1 -> 5 [size =\"34717696\"]\n  1 -> 6 [size =\"34717696\"]\n  1 -> 7 [size =\"34717696\"]\n  2 [size=\"74639360\", alpha=\"0.13\", expect_size=\"22391808\"] \n  2 -> 4 [size =\"22391808\"]\n  2 -> 5 [size =\"22391808\"]\n  2 -> 6 [size =\"22391808\"]\n  2 -> 7 [size =\"22391808\"]\n  3 [size=\"128996693\", alpha=\"0.15\", expect_size=\"38699008\"] \n  3 -> 4 [size =\"38699008\"]\n  3 -> 5 [size =\"38699008\"]\n  4 [size=\"41844053\", alpha=\"0.13\", expect_size=\"12553216\"] \n  4 -> 8 [size =\"12553216\"]\n  4 -> 9 [size =\"12553216\"]\n  5 [size=\"50384213\", alpha=\"0.07\", expect_size=\"15115264\"] \n  5 -> 8 [size =\"15115264\"]\n  5 -> 9 [size =\"15115264\"]\n  6 [size=\"85350400\", alpha=\"0.17\", expect_size=\"25605120\"] \n  6 -> 8 [size =\"25605120\"]\n  6 -> 9 [size =\"25605120\"]\n  7 [size=\"79233707\", alpha=\"0.09\", expect_size=\"23770112\"] \n  7 -> 8 [size =\"23770112\"]\n  7 -> 9 [size =\"23770112\"]\n  7 -> 10 [size =\"23770112\"]\n  8 [size=\"109554347\", alpha=\"0.07\", expect_size=\"32866304\"] \n  8 -> 11 [size =\"32866304\"]\n  8 -> 12 [size =\"32866304\"]\n  8 -> 13 [size =\"32866304\"]\n  9 [size=\"162891093\", alpha=\"0.15\", expect_size=\"48867328\"] \n  9 -> 12 [size =\"48867328\"]\n  9 -> 13 [size =\"48867328\"]\n  10 [size=\"44731733\", alpha=\"0.05\", expect_size=\"13419520\"] \n  10 -> 12 [size =\"13419520\"]\n  10 -> 13 [size =\"13419520\"]\n  11 [size=\"43769173\", alpha=\"0.04\", expect_size=\"13130752\"] \n  11 -> 14 [size =\"13130752\"]\n  11 -> 15 [size =\"13130752\"]\n  12 [size=\"54603093\", alpha=\"0.07\", expect_size=\"16380928\"] \n  12 -> 14 [size =\"16380928\"]\n  13 [size=\"153060693\", alpha=\"0.01\", expect_size=\"45918208\"] \n  13 -> 14 [size =\"45918208\"]\n  14 [size=\"114800640\", alpha=\"0.14\", expect_size=\"34440192\"] \n  14 -> 16 [size =\"34440192\"]\n  14 -> 17 [size =\"34440192\"]\n  14 -> 18 [size =\"34440192\"]\n  15 [size=\"63450453\", alpha=\"0.15\", expect_size=\"19035136\"] \n  15 -> 17 [size =\"19035136\"]\n  15 -> 18 [size =\"19035136\"]\n  16 [size=\"121722880\", alpha=\"0.18\", expect_size=\"36516864\"] \n  16 -> 19 [size =\"36516864\"]\n  16 -> 20 [size =\"36516864\"]\n  17 [size=\"98938880\", alpha=\"0.09\", expect_size=\"29681664\"] \n  17 -> 19 [size =\"29681664\"]\n  18 [size=\"167198720\", alpha=\"0.11\", expect_size=\"50159616\"] \n  18 -> 19 [size =\"50159616\"]\n  19 [size=\"67826347\", alpha=\"0.03\", expect_size=\"20347904\"] \n  20 [size=\"29791573\", alpha=\"0.18\", expect_size=\"8937472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74082304\", alpha=\"0.16\", expect_size=\"37041152\"] \n  1 -> 14 [size =\"37041152\"]\n  1 -> 16 [size =\"37041152\"]\n  2 [size=\"69978112\", alpha=\"0.16\", expect_size=\"34989056\"] \n  2 -> 14 [size =\"34989056\"]\n  2 -> 15 [size =\"34989056\"]\n  3 [size=\"18931712\", alpha=\"0.07\", expect_size=\"9465856\"] \n  4 [size=\"80201728\", alpha=\"0.10\", expect_size=\"40100864\"] \n  4 -> 13 [size =\"40100864\"]\n  5 [size=\"83292160\", alpha=\"0.03\", expect_size=\"41646080\"] \n  6 [size=\"48738304\", alpha=\"0.07\", expect_size=\"24369152\"] \n  6 -> 14 [size =\"24369152\"]\n  7 [size=\"81375232\", alpha=\"0.04\", expect_size=\"40687616\"] \n  8 [size=\"19556352\", alpha=\"0.12\", expect_size=\"9778176\"] \n  8 -> 12 [size =\"9778176\"]\n  9 [size=\"67153920\", alpha=\"0.13\", expect_size=\"33576960\"] \n  9 -> 12 [size =\"33576960\"]\n  9 -> 16 [size =\"33576960\"]\n  10 [size=\"13445120\", alpha=\"0.16\", expect_size=\"6722560\"] \n  10 -> 11 [size =\"6722560\"]\n  11 [size=\"71256064\", alpha=\"0.01\", expect_size=\"35628032\"] \n  11 -> 19 [size =\"35628032\"]\n  11 -> 20 [size =\"35628032\"]\n  12 [size=\"51841024\", alpha=\"0.10\", expect_size=\"25920512\"] \n  12 -> 17 [size =\"25920512\"]\n  13 [size=\"31737856\", alpha=\"0.10\", expect_size=\"15868928\"] \n  13 -> 17 [size =\"15868928\"]\n  14 [size=\"62445568\", alpha=\"0.12\", expect_size=\"31222784\"] \n  14 -> 17 [size =\"31222784\"]\n  15 [size=\"13694976\", alpha=\"0.20\", expect_size=\"6847488\"] \n  15 -> 18 [size =\"6847488\"]\n  15 -> 19 [size =\"6847488\"]\n  16 [size=\"29034496\", alpha=\"0.08\", expect_size=\"14517248\"] \n  16 -> 18 [size =\"14517248\"]\n  17 [size=\"61022208\", alpha=\"0.05\", expect_size=\"30511104\"] \n  18 [size=\"81328128\", alpha=\"0.14\", expect_size=\"40664064\"] \n  19 [size=\"45889536\", alpha=\"0.08\", expect_size=\"22944768\"] \n  20 [size=\"14907392\", alpha=\"0.01\", expect_size=\"7453696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83611648\", alpha=\"0.11\", expect_size=\"41805824\"] \n  1 -> 2 [size =\"41805824\"]\n  2 [size=\"99606528\", alpha=\"0.18\", expect_size=\"49803264\"] \n  2 -> 3 [size =\"49803264\"]\n  3 [size=\"94146560\", alpha=\"0.15\", expect_size=\"47073280\"] \n  3 -> 4 [size =\"47073280\"]\n  4 [size=\"16084992\", alpha=\"0.17\", expect_size=\"8042496\"] \n  4 -> 5 [size =\"8042496\"]\n  5 [size=\"27138048\", alpha=\"0.19\", expect_size=\"13569024\"] \n  5 -> 6 [size =\"13569024\"]\n  6 [size=\"14020608\", alpha=\"0.05\", expect_size=\"7010304\"] \n  6 -> 7 [size =\"7010304\"]\n  7 [size=\"79302656\", alpha=\"0.07\", expect_size=\"39651328\"] \n  7 -> 8 [size =\"39651328\"]\n  8 [size=\"38287360\", alpha=\"0.10\", expect_size=\"19143680\"] \n  8 -> 9 [size =\"19143680\"]\n  9 [size=\"30177280\", alpha=\"0.00\", expect_size=\"15088640\"] \n  9 -> 10 [size =\"15088640\"]\n  10 [size=\"77529088\", alpha=\"0.02\", expect_size=\"38764544\"] \n  10 -> 11 [size =\"38764544\"]\n  11 [size=\"16869376\", alpha=\"0.13\", expect_size=\"8434688\"] \n  11 -> 12 [size =\"8434688\"]\n  12 [size=\"70815744\", alpha=\"0.03\", expect_size=\"35407872\"] \n  12 -> 13 [size =\"35407872\"]\n  13 [size=\"59289600\", alpha=\"0.18\", expect_size=\"29644800\"] \n  13 -> 14 [size =\"29644800\"]\n  14 [size=\"34775040\", alpha=\"0.03\", expect_size=\"17387520\"] \n  14 -> 15 [size =\"17387520\"]\n  15 [size=\"20738048\", alpha=\"0.06\", expect_size=\"10369024\"] \n  15 -> 16 [size =\"10369024\"]\n  16 [size=\"15716352\", alpha=\"0.12\", expect_size=\"7858176\"] \n  16 -> 17 [size =\"7858176\"]\n  17 [size=\"38774784\", alpha=\"0.20\", expect_size=\"19387392\"] \n  17 -> 18 [size =\"19387392\"]\n  18 [size=\"71133184\", alpha=\"0.13\", expect_size=\"35566592\"] \n  18 -> 19 [size =\"35566592\"]\n  19 [size=\"23054336\", alpha=\"0.16\", expect_size=\"11527168\"] \n  19 -> 20 [size =\"11527168\"]\n  20 [size=\"25028608\", alpha=\"0.14\", expect_size=\"12514304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59228160\", alpha=\"0.15\", expect_size=\"29614080\"] \n  1 -> 4 [size =\"29614080\"]\n  1 -> 6 [size =\"29614080\"]\n  2 [size=\"35438592\", alpha=\"0.02\", expect_size=\"17719296\"] \n  2 -> 4 [size =\"17719296\"]\n  2 -> 5 [size =\"17719296\"]\n  2 -> 6 [size =\"17719296\"]\n  3 [size=\"99792896\", alpha=\"0.18\", expect_size=\"49896448\"] \n  3 -> 4 [size =\"49896448\"]\n  3 -> 5 [size =\"49896448\"]\n  3 -> 6 [size =\"49896448\"]\n  4 [size=\"99688448\", alpha=\"0.06\", expect_size=\"49844224\"] \n  4 -> 7 [size =\"49844224\"]\n  4 -> 8 [size =\"49844224\"]\n  4 -> 9 [size =\"49844224\"]\n  4 -> 10 [size =\"49844224\"]\n  5 [size=\"52723712\", alpha=\"0.18\", expect_size=\"26361856\"] \n  5 -> 7 [size =\"26361856\"]\n  5 -> 8 [size =\"26361856\"]\n  5 -> 9 [size =\"26361856\"]\n  6 [size=\"27584512\", alpha=\"0.04\", expect_size=\"13792256\"] \n  6 -> 7 [size =\"13792256\"]\n  6 -> 8 [size =\"13792256\"]\n  6 -> 9 [size =\"13792256\"]\n  6 -> 10 [size =\"13792256\"]\n  7 [size=\"98127872\", alpha=\"0.06\", expect_size=\"49063936\"] \n  7 -> 11 [size =\"49063936\"]\n  7 -> 13 [size =\"49063936\"]\n  8 [size=\"25563136\", alpha=\"0.14\", expect_size=\"12781568\"] \n  8 -> 11 [size =\"12781568\"]\n  8 -> 13 [size =\"12781568\"]\n  9 [size=\"100530176\", alpha=\"0.02\", expect_size=\"50265088\"] \n  9 -> 11 [size =\"50265088\"]\n  9 -> 13 [size =\"50265088\"]\n  10 [size=\"56436736\", alpha=\"0.17\", expect_size=\"28218368\"] \n  10 -> 11 [size =\"28218368\"]\n  10 -> 12 [size =\"28218368\"]\n  11 [size=\"14893056\", alpha=\"0.13\", expect_size=\"7446528\"] \n  11 -> 14 [size =\"7446528\"]\n  11 -> 15 [size =\"7446528\"]\n  11 -> 16 [size =\"7446528\"]\n  11 -> 17 [size =\"7446528\"]\n  12 [size=\"83763200\", alpha=\"0.14\", expect_size=\"41881600\"] \n  12 -> 16 [size =\"41881600\"]\n  12 -> 17 [size =\"41881600\"]\n  13 [size=\"95027200\", alpha=\"0.04\", expect_size=\"47513600\"] \n  13 -> 14 [size =\"47513600\"]\n  13 -> 15 [size =\"47513600\"]\n  13 -> 16 [size =\"47513600\"]\n  13 -> 17 [size =\"47513600\"]\n  14 [size=\"86999040\", alpha=\"0.02\", expect_size=\"43499520\"] \n  14 -> 20 [size =\"43499520\"]\n  14 -> 20 [size =\"43499520\"]\n  15 [size=\"18608128\", alpha=\"0.05\", expect_size=\"9304064\"] \n  15 -> 18 [size =\"9304064\"]\n  15 -> 19 [size =\"9304064\"]\n  15 -> 20 [size =\"9304064\"]\n  16 [size=\"10708992\", alpha=\"0.14\", expect_size=\"5354496\"] \n  17 [size=\"27924480\", alpha=\"0.01\", expect_size=\"13962240\"] \n  17 -> 18 [size =\"13962240\"]\n  17 -> 20 [size =\"13962240\"]\n  18 [size=\"56297472\", alpha=\"0.09\", expect_size=\"28148736\"] \n  19 [size=\"26107904\", alpha=\"0.04\", expect_size=\"13053952\"] \n  20 [size=\"37568512\", alpha=\"0.03\", expect_size=\"18784256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78840320\", alpha=\"0.17\", expect_size=\"31536128\"] \n  1 -> 2 [size =\"31536128\"]\n  2 [size=\"62597120\", alpha=\"0.16\", expect_size=\"25038848\"] \n  2 -> 3 [size =\"25038848\"]\n  3 [size=\"97274880\", alpha=\"0.02\", expect_size=\"38909952\"] \n  3 -> 4 [size =\"38909952\"]\n  4 [size=\"48404480\", alpha=\"0.13\", expect_size=\"19361792\"] \n  4 -> 5 [size =\"19361792\"]\n  5 [size=\"20715520\", alpha=\"0.00\", expect_size=\"8286208\"] \n  5 -> 6 [size =\"8286208\"]\n  6 [size=\"31580160\", alpha=\"0.15\", expect_size=\"12632064\"] \n  6 -> 7 [size =\"12632064\"]\n  7 [size=\"74736640\", alpha=\"0.04\", expect_size=\"29894656\"] \n  7 -> 8 [size =\"29894656\"]\n  8 [size=\"27092480\", alpha=\"0.19\", expect_size=\"10836992\"] \n  8 -> 9 [size =\"10836992\"]\n  9 [size=\"99384320\", alpha=\"0.16\", expect_size=\"39753728\"] \n  9 -> 10 [size =\"39753728\"]\n  10 [size=\"66176000\", alpha=\"0.13\", expect_size=\"26470400\"] \n  10 -> 11 [size =\"26470400\"]\n  11 [size=\"65400320\", alpha=\"0.09\", expect_size=\"26160128\"] \n  11 -> 12 [size =\"26160128\"]\n  12 [size=\"50081280\", alpha=\"0.16\", expect_size=\"20032512\"] \n  12 -> 13 [size =\"20032512\"]\n  13 [size=\"24202240\", alpha=\"0.07\", expect_size=\"9680896\"] \n  13 -> 14 [size =\"9680896\"]\n  14 [size=\"35287040\", alpha=\"0.01\", expect_size=\"14114816\"] \n  14 -> 15 [size =\"14114816\"]\n  15 [size=\"110359040\", alpha=\"0.18\", expect_size=\"44143616\"] \n  15 -> 16 [size =\"44143616\"]\n  16 [size=\"111552000\", alpha=\"0.04\", expect_size=\"44620800\"] \n  16 -> 17 [size =\"44620800\"]\n  17 [size=\"81986560\", alpha=\"0.18\", expect_size=\"32794624\"] \n  17 -> 18 [size =\"32794624\"]\n  18 [size=\"103710720\", alpha=\"0.00\", expect_size=\"41484288\"] \n  18 -> 19 [size =\"41484288\"]\n  19 [size=\"95979520\", alpha=\"0.00\", expect_size=\"38391808\"] \n  19 -> 20 [size =\"38391808\"]\n  20 [size=\"72473600\", alpha=\"0.16\", expect_size=\"28989440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21428224\", alpha=\"0.11\", expect_size=\"10714112\"] \n  1 -> 8 [size =\"10714112\"]\n  1 -> 10 [size =\"10714112\"]\n  1 -> 12 [size =\"10714112\"]\n  1 -> 13 [size =\"10714112\"]\n  1 -> 15 [size =\"10714112\"]\n  2 [size=\"35772416\", alpha=\"0.10\", expect_size=\"17886208\"] \n  2 -> 8 [size =\"17886208\"]\n  2 -> 9 [size =\"17886208\"]\n  2 -> 10 [size =\"17886208\"]\n  2 -> 12 [size =\"17886208\"]\n  2 -> 13 [size =\"17886208\"]\n  2 -> 14 [size =\"17886208\"]\n  2 -> 15 [size =\"17886208\"]\n  3 [size=\"60418048\", alpha=\"0.12\", expect_size=\"30209024\"] \n  3 -> 9 [size =\"30209024\"]\n  3 -> 10 [size =\"30209024\"]\n  3 -> 10 [size =\"30209024\"]\n  3 -> 11 [size =\"30209024\"]\n  3 -> 12 [size =\"30209024\"]\n  3 -> 15 [size =\"30209024\"]\n  4 [size=\"63447040\", alpha=\"0.17\", expect_size=\"31723520\"] \n  4 -> 10 [size =\"31723520\"]\n  4 -> 11 [size =\"31723520\"]\n  4 -> 14 [size =\"31723520\"]\n  5 [size=\"65744896\", alpha=\"0.03\", expect_size=\"32872448\"] \n  5 -> 11 [size =\"32872448\"]\n  5 -> 11 [size =\"32872448\"]\n  5 -> 12 [size =\"32872448\"]\n  5 -> 14 [size =\"32872448\"]\n  6 [size=\"28516352\", alpha=\"0.11\", expect_size=\"14258176\"] \n  6 -> 12 [size =\"14258176\"]\n  6 -> 14 [size =\"14258176\"]\n  7 [size=\"50571264\", alpha=\"0.11\", expect_size=\"25285632\"] \n  7 -> 10 [size =\"25285632\"]\n  7 -> 12 [size =\"25285632\"]\n  7 -> 13 [size =\"25285632\"]\n  7 -> 14 [size =\"25285632\"]\n  8 [size=\"10633216\", alpha=\"0.04\", expect_size=\"5316608\"] \n  8 -> 16 [size =\"5316608\"]\n  8 -> 17 [size =\"5316608\"]\n  8 -> 18 [size =\"5316608\"]\n  8 -> 19 [size =\"5316608\"]\n  9 [size=\"97949696\", alpha=\"0.00\", expect_size=\"48974848\"] \n  9 -> 18 [size =\"48974848\"]\n  9 -> 19 [size =\"48974848\"]\n  9 -> 20 [size =\"48974848\"]\n  10 [size=\"58327040\", alpha=\"0.13\", expect_size=\"29163520\"] \n  10 -> 17 [size =\"29163520\"]\n  10 -> 19 [size =\"29163520\"]\n  11 [size=\"35440640\", alpha=\"0.06\", expect_size=\"17720320\"] \n  11 -> 16 [size =\"17720320\"]\n  11 -> 18 [size =\"17720320\"]\n  11 -> 19 [size =\"17720320\"]\n  11 -> 20 [size =\"17720320\"]\n  12 [size=\"87179264\", alpha=\"0.05\", expect_size=\"43589632\"] \n  12 -> 16 [size =\"43589632\"]\n  12 -> 19 [size =\"43589632\"]\n  12 -> 20 [size =\"43589632\"]\n  13 [size=\"38144000\", alpha=\"0.18\", expect_size=\"19072000\"] \n  13 -> 16 [size =\"19072000\"]\n  13 -> 19 [size =\"19072000\"]\n  14 [size=\"92684288\", alpha=\"0.18\", expect_size=\"46342144\"] \n  14 -> 16 [size =\"46342144\"]\n  14 -> 17 [size =\"46342144\"]\n  14 -> 19 [size =\"46342144\"]\n  15 [size=\"77699072\", alpha=\"0.18\", expect_size=\"38849536\"] \n  15 -> 16 [size =\"38849536\"]\n  15 -> 18 [size =\"38849536\"]\n  15 -> 19 [size =\"38849536\"]\n  16 [size=\"92411904\", alpha=\"0.10\", expect_size=\"46205952\"] \n  17 [size=\"51859456\", alpha=\"0.06\", expect_size=\"25929728\"] \n  18 [size=\"101480448\", alpha=\"0.09\", expect_size=\"50740224\"] \n  19 [size=\"25286656\", alpha=\"0.04\", expect_size=\"12643328\"] \n  20 [size=\"26195968\", alpha=\"0.01\", expect_size=\"13097984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173182293\", alpha=\"0.12\", expect_size=\"51954688\"] \n  1 -> 7 [size =\"51954688\"]\n  1 -> 8 [size =\"51954688\"]\n  2 [size=\"127317333\", alpha=\"0.08\", expect_size=\"38195200\"] \n  2 -> 7 [size =\"38195200\"]\n  3 [size=\"74670080\", alpha=\"0.16\", expect_size=\"22401024\"] \n  3 -> 6 [size =\"22401024\"]\n  3 -> 7 [size =\"22401024\"]\n  3 -> 8 [size =\"22401024\"]\n  3 -> 9 [size =\"22401024\"]\n  3 -> 10 [size =\"22401024\"]\n  4 [size=\"96826027\", alpha=\"0.14\", expect_size=\"29047808\"] \n  4 -> 6 [size =\"29047808\"]\n  5 [size=\"29600427\", alpha=\"0.04\", expect_size=\"8880128\"] \n  5 -> 6 [size =\"8880128\"]\n  5 -> 10 [size =\"8880128\"]\n  6 [size=\"22613333\", alpha=\"0.15\", expect_size=\"6784000\"] \n  7 [size=\"89821867\", alpha=\"0.02\", expect_size=\"26946560\"] \n  7 -> 11 [size =\"26946560\"]\n  7 -> 13 [size =\"26946560\"]\n  8 [size=\"67293867\", alpha=\"0.13\", expect_size=\"20188160\"] \n  9 [size=\"133478400\", alpha=\"0.12\", expect_size=\"40043520\"] \n  9 -> 12 [size =\"40043520\"]\n  10 [size=\"33174187\", alpha=\"0.13\", expect_size=\"9952256\"] \n  10 -> 12 [size =\"9952256\"]\n  10 -> 13 [size =\"9952256\"]\n  11 [size=\"110131200\", alpha=\"0.13\", expect_size=\"33039360\"] \n  11 -> 14 [size =\"33039360\"]\n  12 [size=\"45755733\", alpha=\"0.07\", expect_size=\"13726720\"] \n  13 [size=\"108820480\", alpha=\"0.18\", expect_size=\"32646144\"] \n  13 -> 15 [size =\"32646144\"]\n  13 -> 16 [size =\"32646144\"]\n  14 [size=\"81073493\", alpha=\"0.16\", expect_size=\"24322048\"] \n  14 -> 17 [size =\"24322048\"]\n  15 [size=\"31303680\", alpha=\"0.15\", expect_size=\"9391104\"] \n  15 -> 18 [size =\"9391104\"]\n  16 [size=\"64972800\", alpha=\"0.19\", expect_size=\"19491840\"] \n  17 [size=\"28337493\", alpha=\"0.11\", expect_size=\"8501248\"] \n  17 -> 20 [size =\"8501248\"]\n  18 [size=\"45824000\", alpha=\"0.10\", expect_size=\"13747200\"] \n  18 -> 19 [size =\"13747200\"]\n  19 [size=\"145916587\", alpha=\"0.04\", expect_size=\"43774976\"] \n  20 [size=\"86575787\", alpha=\"0.04\", expect_size=\"25972736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44462080\", alpha=\"0.05\", expect_size=\"22231040\"] \n  1 -> 3 [size =\"22231040\"]\n  1 -> 4 [size =\"22231040\"]\n  2 [size=\"37910528\", alpha=\"0.20\", expect_size=\"18955264\"] \n  2 -> 3 [size =\"18955264\"]\n  3 [size=\"13223936\", alpha=\"0.11\", expect_size=\"6611968\"] \n  3 -> 5 [size =\"6611968\"]\n  3 -> 6 [size =\"6611968\"]\n  4 [size=\"13985792\", alpha=\"0.12\", expect_size=\"6992896\"] \n  4 -> 5 [size =\"6992896\"]\n  5 [size=\"18798592\", alpha=\"0.13\", expect_size=\"9399296\"] \n  5 -> 7 [size =\"9399296\"]\n  5 -> 8 [size =\"9399296\"]\n  6 [size=\"36020224\", alpha=\"0.04\", expect_size=\"18010112\"] \n  6 -> 7 [size =\"18010112\"]\n  7 [size=\"37793792\", alpha=\"0.14\", expect_size=\"18896896\"] \n  7 -> 9 [size =\"18896896\"]\n  7 -> 10 [size =\"18896896\"]\n  8 [size=\"25507840\", alpha=\"0.08\", expect_size=\"12753920\"] \n  8 -> 9 [size =\"12753920\"]\n  9 [size=\"33679360\", alpha=\"0.08\", expect_size=\"16839680\"] \n  10 [size=\"44064768\", alpha=\"0.02\", expect_size=\"22032384\"] \n  10 -> 11 [size =\"22032384\"]\n  11 [size=\"63012864\", alpha=\"0.09\", expect_size=\"31506432\"] \n  11 -> 12 [size =\"31506432\"]\n  11 -> 13 [size =\"31506432\"]\n  12 [size=\"88502272\", alpha=\"0.04\", expect_size=\"44251136\"] \n  12 -> 14 [size =\"44251136\"]\n  13 [size=\"87668736\", alpha=\"0.09\", expect_size=\"43834368\"] \n  13 -> 15 [size =\"43834368\"]\n  14 [size=\"46096384\", alpha=\"0.13\", expect_size=\"23048192\"] \n  14 -> 16 [size =\"23048192\"]\n  15 [size=\"103014400\", alpha=\"0.03\", expect_size=\"51507200\"] \n  16 [size=\"68724736\", alpha=\"0.00\", expect_size=\"34362368\"] \n  16 -> 17 [size =\"34362368\"]\n  17 [size=\"85493760\", alpha=\"0.09\", expect_size=\"42746880\"] \n  17 -> 18 [size =\"42746880\"]\n  17 -> 19 [size =\"42746880\"]\n  18 [size=\"59447296\", alpha=\"0.15\", expect_size=\"29723648\"] \n  18 -> 20 [size =\"29723648\"]\n  19 [size=\"96262144\", alpha=\"0.16\", expect_size=\"48131072\"] \n  20 [size=\"38080512\", alpha=\"0.20\", expect_size=\"19040256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39349760\", alpha=\"0.12\", expect_size=\"15739904\"] \n  1 -> 2 [size =\"15739904\"]\n  2 [size=\"115358720\", alpha=\"0.09\", expect_size=\"46143488\"] \n  2 -> 3 [size =\"46143488\"]\n  3 [size=\"81679360\", alpha=\"0.02\", expect_size=\"32671744\"] \n  3 -> 4 [size =\"32671744\"]\n  4 [size=\"52595200\", alpha=\"0.07\", expect_size=\"21038080\"] \n  4 -> 5 [size =\"21038080\"]\n  5 [size=\"97121280\", alpha=\"0.07\", expect_size=\"38848512\"] \n  5 -> 6 [size =\"38848512\"]\n  6 [size=\"42864640\", alpha=\"0.08\", expect_size=\"17145856\"] \n  6 -> 7 [size =\"17145856\"]\n  7 [size=\"112499200\", alpha=\"0.13\", expect_size=\"44999680\"] \n  7 -> 8 [size =\"44999680\"]\n  8 [size=\"83287040\", alpha=\"0.17\", expect_size=\"33314816\"] \n  8 -> 9 [size =\"33314816\"]\n  9 [size=\"18024960\", alpha=\"0.11\", expect_size=\"7209984\"] \n  9 -> 10 [size =\"7209984\"]\n  10 [size=\"92433920\", alpha=\"0.20\", expect_size=\"36973568\"] \n  10 -> 11 [size =\"36973568\"]\n  11 [size=\"44144640\", alpha=\"0.03\", expect_size=\"17657856\"] \n  11 -> 12 [size =\"17657856\"]\n  12 [size=\"117788160\", alpha=\"0.15\", expect_size=\"47115264\"] \n  12 -> 13 [size =\"47115264\"]\n  13 [size=\"54092800\", alpha=\"0.18\", expect_size=\"21637120\"] \n  13 -> 14 [size =\"21637120\"]\n  14 [size=\"64291840\", alpha=\"0.09\", expect_size=\"25716736\"] \n  14 -> 15 [size =\"25716736\"]\n  15 [size=\"107246080\", alpha=\"0.00\", expect_size=\"42898432\"] \n  15 -> 16 [size =\"42898432\"]\n  16 [size=\"31848960\", alpha=\"0.12\", expect_size=\"12739584\"] \n  16 -> 17 [size =\"12739584\"]\n  17 [size=\"76416000\", alpha=\"0.18\", expect_size=\"30566400\"] \n  17 -> 18 [size =\"30566400\"]\n  18 [size=\"37358080\", alpha=\"0.05\", expect_size=\"14943232\"] \n  18 -> 19 [size =\"14943232\"]\n  19 [size=\"18716160\", alpha=\"0.07\", expect_size=\"7486464\"] \n  19 -> 20 [size =\"7486464\"]\n  20 [size=\"85314560\", alpha=\"0.19\", expect_size=\"34125824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87964160\", alpha=\"0.20\", expect_size=\"35185664\"] \n  1 -> 9 [size =\"35185664\"]\n  1 -> 10 [size =\"35185664\"]\n  1 -> 15 [size =\"35185664\"]\n  2 [size=\"40972800\", alpha=\"0.07\", expect_size=\"16389120\"] \n  2 -> 9 [size =\"16389120\"]\n  2 -> 12 [size =\"16389120\"]\n  2 -> 13 [size =\"16389120\"]\n  2 -> 14 [size =\"16389120\"]\n  3 [size=\"67033600\", alpha=\"0.07\", expect_size=\"26813440\"] \n  3 -> 9 [size =\"26813440\"]\n  3 -> 12 [size =\"26813440\"]\n  4 [size=\"127749120\", alpha=\"0.05\", expect_size=\"51099648\"] \n  4 -> 8 [size =\"51099648\"]\n  4 -> 9 [size =\"51099648\"]\n  4 -> 10 [size =\"51099648\"]\n  4 -> 12 [size =\"51099648\"]\n  4 -> 15 [size =\"51099648\"]\n  5 [size=\"29304320\", alpha=\"0.01\", expect_size=\"11721728\"] \n  5 -> 9 [size =\"11721728\"]\n  5 -> 11 [size =\"11721728\"]\n  5 -> 12 [size =\"11721728\"]\n  5 -> 12 [size =\"11721728\"]\n  5 -> 15 [size =\"11721728\"]\n  6 [size=\"49932800\", alpha=\"0.17\", expect_size=\"19973120\"] \n  6 -> 10 [size =\"19973120\"]\n  6 -> 11 [size =\"19973120\"]\n  7 [size=\"44579840\", alpha=\"0.02\", expect_size=\"17831936\"] \n  7 -> 10 [size =\"17831936\"]\n  7 -> 14 [size =\"17831936\"]\n  7 -> 15 [size =\"17831936\"]\n  7 -> 16 [size =\"17831936\"]\n  8 [size=\"74716160\", alpha=\"0.20\", expect_size=\"29886464\"] \n  8 -> 17 [size =\"29886464\"]\n  8 -> 18 [size =\"29886464\"]\n  8 -> 19 [size =\"29886464\"]\n  9 [size=\"80570880\", alpha=\"0.19\", expect_size=\"32228352\"] \n  9 -> 17 [size =\"32228352\"]\n  9 -> 19 [size =\"32228352\"]\n  10 [size=\"45780480\", alpha=\"0.13\", expect_size=\"18312192\"] \n  10 -> 19 [size =\"18312192\"]\n  11 [size=\"55838720\", alpha=\"0.11\", expect_size=\"22335488\"] \n  11 -> 18 [size =\"22335488\"]\n  11 -> 19 [size =\"22335488\"]\n  12 [size=\"52966400\", alpha=\"0.15\", expect_size=\"21186560\"] \n  12 -> 19 [size =\"21186560\"]\n  12 -> 20 [size =\"21186560\"]\n  13 [size=\"92943360\", alpha=\"0.00\", expect_size=\"37177344\"] \n  13 -> 17 [size =\"37177344\"]\n  13 -> 19 [size =\"37177344\"]\n  14 [size=\"17029120\", alpha=\"0.11\", expect_size=\"6811648\"] \n  14 -> 17 [size =\"6811648\"]\n  15 [size=\"46054400\", alpha=\"0.11\", expect_size=\"18421760\"] \n  15 -> 17 [size =\"18421760\"]\n  16 [size=\"53063680\", alpha=\"0.09\", expect_size=\"21225472\"] \n  16 -> 17 [size =\"21225472\"]\n  16 -> 20 [size =\"21225472\"]\n  17 [size=\"36782080\", alpha=\"0.19\", expect_size=\"14712832\"] \n  18 [size=\"48908800\", alpha=\"0.18\", expect_size=\"19563520\"] \n  19 [size=\"48125440\", alpha=\"0.13\", expect_size=\"19250176\"] \n  20 [size=\"42634240\", alpha=\"0.18\", expect_size=\"17053696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88037376\", alpha=\"0.15\", expect_size=\"44018688\"] \n  1 -> 7 [size =\"44018688\"]\n  2 [size=\"77867008\", alpha=\"0.17\", expect_size=\"38933504\"] \n  3 [size=\"74563584\", alpha=\"0.04\", expect_size=\"37281792\"] \n  3 -> 5 [size =\"37281792\"]\n  4 [size=\"12359680\", alpha=\"0.07\", expect_size=\"6179840\"] \n  4 -> 5 [size =\"6179840\"]\n  4 -> 6 [size =\"6179840\"]\n  4 -> 7 [size =\"6179840\"]\n  5 [size=\"47857664\", alpha=\"0.02\", expect_size=\"23928832\"] \n  6 [size=\"27873280\", alpha=\"0.14\", expect_size=\"13936640\"] \n  6 -> 8 [size =\"13936640\"]\n  6 -> 9 [size =\"13936640\"]\n  6 -> 10 [size =\"13936640\"]\n  6 -> 11 [size =\"13936640\"]\n  7 [size=\"78090240\", alpha=\"0.02\", expect_size=\"39045120\"] \n  7 -> 9 [size =\"39045120\"]\n  7 -> 11 [size =\"39045120\"]\n  8 [size=\"73172992\", alpha=\"0.08\", expect_size=\"36586496\"] \n  8 -> 14 [size =\"36586496\"]\n  9 [size=\"70074368\", alpha=\"0.17\", expect_size=\"35037184\"] \n  9 -> 12 [size =\"35037184\"]\n  9 -> 15 [size =\"35037184\"]\n  10 [size=\"69476352\", alpha=\"0.01\", expect_size=\"34738176\"] \n  10 -> 12 [size =\"34738176\"]\n  10 -> 13 [size =\"34738176\"]\n  11 [size=\"82558976\", alpha=\"0.12\", expect_size=\"41279488\"] \n  11 -> 12 [size =\"41279488\"]\n  11 -> 15 [size =\"41279488\"]\n  12 [size=\"59521024\", alpha=\"0.08\", expect_size=\"29760512\"] \n  13 [size=\"44685312\", alpha=\"0.12\", expect_size=\"22342656\"] \n  13 -> 18 [size =\"22342656\"]\n  14 [size=\"65599488\", alpha=\"0.03\", expect_size=\"32799744\"] \n  14 -> 17 [size =\"32799744\"]\n  15 [size=\"98926592\", alpha=\"0.01\", expect_size=\"49463296\"] \n  15 -> 16 [size =\"49463296\"]\n  15 -> 17 [size =\"49463296\"]\n  16 [size=\"12130304\", alpha=\"0.14\", expect_size=\"6065152\"] \n  16 -> 20 [size =\"6065152\"]\n  17 [size=\"79869952\", alpha=\"0.01\", expect_size=\"39934976\"] \n  17 -> 19 [size =\"39934976\"]\n  18 [size=\"91645952\", alpha=\"0.02\", expect_size=\"45822976\"] \n  18 -> 19 [size =\"45822976\"]\n  18 -> 20 [size =\"45822976\"]\n  19 [size=\"34822144\", alpha=\"0.14\", expect_size=\"17411072\"] \n  20 [size=\"19709952\", alpha=\"0.19\", expect_size=\"9854976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38108160\", alpha=\"0.05\", expect_size=\"15243264\"] \n  1 -> 3 [size =\"15243264\"]\n  2 [size=\"37775360\", alpha=\"0.06\", expect_size=\"15110144\"] \n  2 -> 3 [size =\"15110144\"]\n  3 [size=\"19829760\", alpha=\"0.11\", expect_size=\"7931904\"] \n  3 -> 4 [size =\"7931904\"]\n  4 [size=\"54487040\", alpha=\"0.11\", expect_size=\"21794816\"] \n  4 -> 5 [size =\"21794816\"]\n  5 [size=\"117760000\", alpha=\"0.15\", expect_size=\"47104000\"] \n  5 -> 6 [size =\"47104000\"]\n  6 [size=\"108198400\", alpha=\"0.01\", expect_size=\"43279360\"] \n  6 -> 7 [size =\"43279360\"]\n  7 [size=\"15582720\", alpha=\"0.04\", expect_size=\"6233088\"] \n  7 -> 8 [size =\"6233088\"]\n  7 -> 9 [size =\"6233088\"]\n  8 [size=\"84482560\", alpha=\"0.12\", expect_size=\"33793024\"] \n  9 [size=\"123614720\", alpha=\"0.05\", expect_size=\"49445888\"] \n  9 -> 10 [size =\"49445888\"]\n  10 [size=\"104829440\", alpha=\"0.09\", expect_size=\"41931776\"] \n  10 -> 11 [size =\"41931776\"]\n  11 [size=\"122416640\", alpha=\"0.18\", expect_size=\"48966656\"] \n  11 -> 12 [size =\"48966656\"]\n  12 [size=\"36277760\", alpha=\"0.13\", expect_size=\"14511104\"] \n  12 -> 13 [size =\"14511104\"]\n  13 [size=\"72102400\", alpha=\"0.10\", expect_size=\"28840960\"] \n  13 -> 14 [size =\"28840960\"]\n  13 -> 15 [size =\"28840960\"]\n  14 [size=\"21268480\", alpha=\"0.13\", expect_size=\"8507392\"] \n  14 -> 16 [size =\"8507392\"]\n  14 -> 17 [size =\"8507392\"]\n  15 [size=\"86297600\", alpha=\"0.05\", expect_size=\"34519040\"] \n  15 -> 16 [size =\"34519040\"]\n  16 [size=\"57244160\", alpha=\"0.02\", expect_size=\"22897664\"] \n  16 -> 18 [size =\"22897664\"]\n  17 [size=\"64263680\", alpha=\"0.07\", expect_size=\"25705472\"] \n  18 [size=\"90455040\", alpha=\"0.12\", expect_size=\"36182016\"] \n  18 -> 19 [size =\"36182016\"]\n  19 [size=\"45365760\", alpha=\"0.05\", expect_size=\"18146304\"] \n  19 -> 20 [size =\"18146304\"]\n  20 [size=\"75970560\", alpha=\"0.06\", expect_size=\"30388224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102089387\", alpha=\"0.07\", expect_size=\"30626816\"] \n  1 -> 5 [size =\"30626816\"]\n  2 [size=\"76683947\", alpha=\"0.13\", expect_size=\"23005184\"] \n  2 -> 6 [size =\"23005184\"]\n  2 -> 7 [size =\"23005184\"]\n  3 [size=\"91944960\", alpha=\"0.14\", expect_size=\"27583488\"] \n  3 -> 4 [size =\"27583488\"]\n  3 -> 5 [size =\"27583488\"]\n  4 [size=\"163682987\", alpha=\"0.17\", expect_size=\"49104896\"] \n  4 -> 9 [size =\"49104896\"]\n  5 [size=\"60146347\", alpha=\"0.04\", expect_size=\"18043904\"] \n  6 [size=\"140107093\", alpha=\"0.09\", expect_size=\"42032128\"] \n  6 -> 10 [size =\"42032128\"]\n  7 [size=\"121330347\", alpha=\"0.11\", expect_size=\"36399104\"] \n  7 -> 8 [size =\"36399104\"]\n  7 -> 11 [size =\"36399104\"]\n  8 [size=\"101997227\", alpha=\"0.00\", expect_size=\"30599168\"] \n  8 -> 13 [size =\"30599168\"]\n  9 [size=\"71338667\", alpha=\"0.15\", expect_size=\"21401600\"] \n  9 -> 12 [size =\"21401600\"]\n  9 -> 14 [size =\"21401600\"]\n  10 [size=\"164959573\", alpha=\"0.17\", expect_size=\"49487872\"] \n  10 -> 12 [size =\"49487872\"]\n  10 -> 14 [size =\"49487872\"]\n  11 [size=\"98245973\", alpha=\"0.20\", expect_size=\"29473792\"] \n  11 -> 13 [size =\"29473792\"]\n  12 [size=\"155125760\", alpha=\"0.16\", expect_size=\"46537728\"] \n  12 -> 16 [size =\"46537728\"]\n  13 [size=\"101707093\", alpha=\"0.12\", expect_size=\"30512128\"] \n  13 -> 17 [size =\"30512128\"]\n  14 [size=\"54118400\", alpha=\"0.10\", expect_size=\"16235520\"] \n  14 -> 15 [size =\"16235520\"]\n  15 [size=\"34123093\", alpha=\"0.04\", expect_size=\"10236928\"] \n  15 -> 18 [size =\"10236928\"]\n  15 -> 19 [size =\"10236928\"]\n  16 [size=\"67850240\", alpha=\"0.15\", expect_size=\"20355072\"] \n  16 -> 20 [size =\"20355072\"]\n  17 [size=\"138209280\", alpha=\"0.01\", expect_size=\"41462784\"] \n  17 -> 19 [size =\"41462784\"]\n  18 [size=\"64133120\", alpha=\"0.15\", expect_size=\"19239936\"] \n  19 [size=\"65249280\", alpha=\"0.15\", expect_size=\"19574784\"] \n  20 [size=\"29289813\", alpha=\"0.19\", expect_size=\"8786944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82792960\", alpha=\"0.17\", expect_size=\"33117184\"] \n  2 [size=\"124131840\", alpha=\"0.05\", expect_size=\"49652736\"] \n  3 [size=\"41356800\", alpha=\"0.01\", expect_size=\"16542720\"] \n  4 [size=\"111078400\", alpha=\"0.16\", expect_size=\"44431360\"] \n  5 [size=\"60820480\", alpha=\"0.17\", expect_size=\"24328192\"] \n  6 [size=\"43258880\", alpha=\"0.03\", expect_size=\"17303552\"] \n  7 [size=\"76336640\", alpha=\"0.18\", expect_size=\"30534656\"] \n  8 [size=\"123581440\", alpha=\"0.02\", expect_size=\"49432576\"] \n  9 [size=\"43591680\", alpha=\"0.09\", expect_size=\"17436672\"] \n  10 [size=\"60408320\", alpha=\"0.02\", expect_size=\"24163328\"] \n  11 [size=\"60334080\", alpha=\"0.16\", expect_size=\"24133632\"] \n  12 [size=\"45378560\", alpha=\"0.16\", expect_size=\"18151424\"] \n  13 [size=\"76134400\", alpha=\"0.15\", expect_size=\"30453760\"] \n  14 [size=\"81628160\", alpha=\"0.15\", expect_size=\"32651264\"] \n  15 [size=\"55313920\", alpha=\"0.09\", expect_size=\"22125568\"] \n  16 [size=\"37588480\", alpha=\"0.07\", expect_size=\"15035392\"] \n  17 [size=\"56317440\", alpha=\"0.04\", expect_size=\"22526976\"] \n  18 [size=\"43251200\", alpha=\"0.18\", expect_size=\"17300480\"] \n  19 [size=\"57484800\", alpha=\"0.07\", expect_size=\"22993920\"] \n  20 [size=\"108157440\", alpha=\"0.09\", expect_size=\"43262976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98884267\", alpha=\"0.06\", expect_size=\"29665280\"] \n  2 [size=\"37963093\", alpha=\"0.01\", expect_size=\"11388928\"] \n  2 -> 3 [size =\"11388928\"]\n  3 [size=\"76195840\", alpha=\"0.00\", expect_size=\"22858752\"] \n  3 -> 4 [size =\"22858752\"]\n  4 [size=\"73844053\", alpha=\"0.12\", expect_size=\"22153216\"] \n  4 -> 5 [size =\"22153216\"]\n  5 [size=\"54640640\", alpha=\"0.17\", expect_size=\"16392192\"] \n  5 -> 6 [size =\"16392192\"]\n  5 -> 7 [size =\"16392192\"]\n  6 [size=\"113223680\", alpha=\"0.17\", expect_size=\"33967104\"] \n  7 [size=\"69201920\", alpha=\"0.03\", expect_size=\"20760576\"] \n  7 -> 8 [size =\"20760576\"]\n  8 [size=\"72034987\", alpha=\"0.12\", expect_size=\"21610496\"] \n  8 -> 9 [size =\"21610496\"]\n  8 -> 10 [size =\"21610496\"]\n  9 [size=\"70157653\", alpha=\"0.04\", expect_size=\"21047296\"] \n  10 [size=\"26439680\", alpha=\"0.20\", expect_size=\"7931904\"] \n  10 -> 11 [size =\"7931904\"]\n  11 [size=\"118715733\", alpha=\"0.13\", expect_size=\"35614720\"] \n  11 -> 12 [size =\"35614720\"]\n  11 -> 13 [size =\"35614720\"]\n  12 [size=\"162321067\", alpha=\"0.12\", expect_size=\"48696320\"] \n  12 -> 14 [size =\"48696320\"]\n  13 [size=\"170949973\", alpha=\"0.12\", expect_size=\"51284992\"] \n  13 -> 15 [size =\"51284992\"]\n  14 [size=\"172363093\", alpha=\"0.01\", expect_size=\"51708928\"] \n  14 -> 16 [size =\"51708928\"]\n  14 -> 17 [size =\"51708928\"]\n  15 [size=\"108349440\", alpha=\"0.19\", expect_size=\"32504832\"] \n  16 [size=\"82554880\", alpha=\"0.05\", expect_size=\"24766464\"] \n  16 -> 18 [size =\"24766464\"]\n  17 [size=\"55156053\", alpha=\"0.19\", expect_size=\"16546816\"] \n  17 -> 19 [size =\"16546816\"]\n  18 [size=\"76332373\", alpha=\"0.09\", expect_size=\"22899712\"] \n  18 -> 20 [size =\"22899712\"]\n  19 [size=\"170304853\", alpha=\"0.06\", expect_size=\"51091456\"] \n  20 [size=\"42202453\", alpha=\"0.01\", expect_size=\"12660736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113967787\", alpha=\"0.14\", expect_size=\"34190336\"] \n  1 -> 3 [size =\"34190336\"]\n  1 -> 4 [size =\"34190336\"]\n  2 [size=\"93651627\", alpha=\"0.19\", expect_size=\"28095488\"] \n  2 -> 3 [size =\"28095488\"]\n  3 [size=\"125392213\", alpha=\"0.12\", expect_size=\"37617664\"] \n  4 [size=\"135608320\", alpha=\"0.01\", expect_size=\"40682496\"] \n  4 -> 5 [size =\"40682496\"]\n  5 [size=\"124361387\", alpha=\"0.14\", expect_size=\"37308416\"] \n  5 -> 6 [size =\"37308416\"]\n  5 -> 7 [size =\"37308416\"]\n  6 [size=\"60835840\", alpha=\"0.11\", expect_size=\"18250752\"] \n  6 -> 8 [size =\"18250752\"]\n  6 -> 9 [size =\"18250752\"]\n  7 [size=\"50391040\", alpha=\"0.19\", expect_size=\"15117312\"] \n  7 -> 8 [size =\"15117312\"]\n  8 [size=\"153326933\", alpha=\"0.17\", expect_size=\"45998080\"] \n  8 -> 11 [size =\"45998080\"]\n  9 [size=\"28398933\", alpha=\"0.11\", expect_size=\"8519680\"] \n  9 -> 10 [size =\"8519680\"]\n  9 -> 11 [size =\"8519680\"]\n  10 [size=\"89166507\", alpha=\"0.14\", expect_size=\"26749952\"] \n  10 -> 12 [size =\"26749952\"]\n  11 [size=\"70840320\", alpha=\"0.17\", expect_size=\"21252096\"] \n  11 -> 12 [size =\"21252096\"]\n  12 [size=\"22060373\", alpha=\"0.16\", expect_size=\"6618112\"] \n  12 -> 13 [size =\"6618112\"]\n  13 [size=\"168915627\", alpha=\"0.09\", expect_size=\"50674688\"] \n  13 -> 14 [size =\"50674688\"]\n  13 -> 15 [size =\"50674688\"]\n  14 [size=\"107373227\", alpha=\"0.12\", expect_size=\"32211968\"] \n  15 [size=\"114005333\", alpha=\"0.18\", expect_size=\"34201600\"] \n  15 -> 16 [size =\"34201600\"]\n  16 [size=\"69229227\", alpha=\"0.06\", expect_size=\"20768768\"] \n  16 -> 17 [size =\"20768768\"]\n  16 -> 18 [size =\"20768768\"]\n  17 [size=\"154825387\", alpha=\"0.09\", expect_size=\"46447616\"] \n  18 [size=\"147889493\", alpha=\"0.05\", expect_size=\"44366848\"] \n  18 -> 19 [size =\"44366848\"]\n  19 [size=\"125460480\", alpha=\"0.10\", expect_size=\"37638144\"] \n  19 -> 20 [size =\"37638144\"]\n  20 [size=\"55138987\", alpha=\"0.12\", expect_size=\"16541696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92442624\", alpha=\"0.17\", expect_size=\"46221312\"] \n  1 -> 2 [size =\"46221312\"]\n  2 [size=\"37945344\", alpha=\"0.02\", expect_size=\"18972672\"] \n  2 -> 3 [size =\"18972672\"]\n  3 [size=\"97454080\", alpha=\"0.11\", expect_size=\"48727040\"] \n  3 -> 4 [size =\"48727040\"]\n  4 [size=\"42344448\", alpha=\"0.01\", expect_size=\"21172224\"] \n  4 -> 5 [size =\"21172224\"]\n  5 [size=\"40794112\", alpha=\"0.14\", expect_size=\"20397056\"] \n  5 -> 6 [size =\"20397056\"]\n  6 [size=\"39000064\", alpha=\"0.09\", expect_size=\"19500032\"] \n  6 -> 7 [size =\"19500032\"]\n  7 [size=\"67936256\", alpha=\"0.02\", expect_size=\"33968128\"] \n  7 -> 8 [size =\"33968128\"]\n  8 [size=\"11235328\", alpha=\"0.14\", expect_size=\"5617664\"] \n  8 -> 9 [size =\"5617664\"]\n  9 [size=\"36698112\", alpha=\"0.05\", expect_size=\"18349056\"] \n  9 -> 10 [size =\"18349056\"]\n  10 [size=\"86757376\", alpha=\"0.06\", expect_size=\"43378688\"] \n  10 -> 11 [size =\"43378688\"]\n  11 [size=\"103110656\", alpha=\"0.16\", expect_size=\"51555328\"] \n  11 -> 12 [size =\"51555328\"]\n  12 [size=\"90048512\", alpha=\"0.01\", expect_size=\"45024256\"] \n  12 -> 13 [size =\"45024256\"]\n  13 [size=\"101373952\", alpha=\"0.07\", expect_size=\"50686976\"] \n  13 -> 14 [size =\"50686976\"]\n  14 [size=\"59504640\", alpha=\"0.05\", expect_size=\"29752320\"] \n  14 -> 15 [size =\"29752320\"]\n  15 [size=\"65693696\", alpha=\"0.19\", expect_size=\"32846848\"] \n  15 -> 16 [size =\"32846848\"]\n  16 [size=\"35579904\", alpha=\"0.15\", expect_size=\"17789952\"] \n  16 -> 17 [size =\"17789952\"]\n  17 [size=\"79968256\", alpha=\"0.02\", expect_size=\"39984128\"] \n  17 -> 18 [size =\"39984128\"]\n  18 [size=\"90482688\", alpha=\"0.03\", expect_size=\"45241344\"] \n  18 -> 19 [size =\"45241344\"]\n  19 [size=\"62134272\", alpha=\"0.15\", expect_size=\"31067136\"] \n  19 -> 20 [size =\"31067136\"]\n  20 [size=\"87541760\", alpha=\"0.13\", expect_size=\"43770880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111267840\", alpha=\"0.13\", expect_size=\"33380352\"] \n  1 -> 7 [size =\"33380352\"]\n  2 [size=\"106615467\", alpha=\"0.19\", expect_size=\"31984640\"] \n  2 -> 4 [size =\"31984640\"]\n  2 -> 5 [size =\"31984640\"]\n  2 -> 6 [size =\"31984640\"]\n  2 -> 7 [size =\"31984640\"]\n  3 [size=\"32846507\", alpha=\"0.02\", expect_size=\"9853952\"] \n  3 -> 5 [size =\"9853952\"]\n  3 -> 6 [size =\"9853952\"]\n  3 -> 7 [size =\"9853952\"]\n  4 [size=\"75926187\", alpha=\"0.02\", expect_size=\"22777856\"] \n  4 -> 8 [size =\"22777856\"]\n  4 -> 10 [size =\"22777856\"]\n  5 [size=\"172489387\", alpha=\"0.15\", expect_size=\"51746816\"] \n  5 -> 8 [size =\"51746816\"]\n  5 -> 10 [size =\"51746816\"]\n  6 [size=\"25388373\", alpha=\"0.13\", expect_size=\"7616512\"] \n  6 -> 8 [size =\"7616512\"]\n  6 -> 10 [size =\"7616512\"]\n  7 [size=\"78585173\", alpha=\"0.20\", expect_size=\"23575552\"] \n  7 -> 8 [size =\"23575552\"]\n  7 -> 9 [size =\"23575552\"]\n  8 [size=\"141885440\", alpha=\"0.18\", expect_size=\"42565632\"] \n  8 -> 11 [size =\"42565632\"]\n  8 -> 12 [size =\"42565632\"]\n  8 -> 13 [size =\"42565632\"]\n  9 [size=\"172622507\", alpha=\"0.09\", expect_size=\"51786752\"] \n  9 -> 13 [size =\"51786752\"]\n  10 [size=\"68085760\", alpha=\"0.02\", expect_size=\"20425728\"] \n  10 -> 11 [size =\"20425728\"]\n  11 [size=\"94986240\", alpha=\"0.08\", expect_size=\"28495872\"] \n  11 -> 14 [size =\"28495872\"]\n  11 -> 16 [size =\"28495872\"]\n  11 -> 17 [size =\"28495872\"]\n  12 [size=\"38816427\", alpha=\"0.17\", expect_size=\"11644928\"] \n  12 -> 14 [size =\"11644928\"]\n  12 -> 15 [size =\"11644928\"]\n  13 [size=\"28146347\", alpha=\"0.08\", expect_size=\"8443904\"] \n  13 -> 14 [size =\"8443904\"]\n  13 -> 16 [size =\"8443904\"]\n  13 -> 17 [size =\"8443904\"]\n  14 [size=\"41700693\", alpha=\"0.06\", expect_size=\"12510208\"] \n  14 -> 18 [size =\"12510208\"]\n  14 -> 19 [size =\"12510208\"]\n  14 -> 20 [size =\"12510208\"]\n  15 [size=\"54295893\", alpha=\"0.06\", expect_size=\"16288768\"] \n  15 -> 18 [size =\"16288768\"]\n  15 -> 19 [size =\"16288768\"]\n  15 -> 20 [size =\"16288768\"]\n  16 [size=\"170120533\", alpha=\"0.04\", expect_size=\"51036160\"] \n  16 -> 18 [size =\"51036160\"]\n  16 -> 19 [size =\"51036160\"]\n  16 -> 20 [size =\"51036160\"]\n  17 [size=\"115636907\", alpha=\"0.14\", expect_size=\"34691072\"] \n  17 -> 18 [size =\"34691072\"]\n  17 -> 19 [size =\"34691072\"]\n  17 -> 20 [size =\"34691072\"]\n  18 [size=\"112223573\", alpha=\"0.15\", expect_size=\"33667072\"] \n  19 [size=\"98969600\", alpha=\"0.01\", expect_size=\"29690880\"] \n  20 [size=\"172226560\", alpha=\"0.12\", expect_size=\"51667968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91168768\", alpha=\"0.02\", expect_size=\"45584384\"] \n  1 -> 10 [size =\"45584384\"]\n  1 -> 11 [size =\"45584384\"]\n  1 -> 13 [size =\"45584384\"]\n  1 -> 15 [size =\"45584384\"]\n  2 [size=\"87435264\", alpha=\"0.05\", expect_size=\"43717632\"] \n  2 -> 10 [size =\"43717632\"]\n  2 -> 15 [size =\"43717632\"]\n  3 [size=\"32432128\", alpha=\"0.15\", expect_size=\"16216064\"] \n  3 -> 12 [size =\"16216064\"]\n  3 -> 14 [size =\"16216064\"]\n  3 -> 15 [size =\"16216064\"]\n  4 [size=\"47876096\", alpha=\"0.11\", expect_size=\"23938048\"] \n  4 -> 15 [size =\"23938048\"]\n  5 [size=\"84664320\", alpha=\"0.12\", expect_size=\"42332160\"] \n  5 -> 13 [size =\"42332160\"]\n  6 [size=\"92243968\", alpha=\"0.18\", expect_size=\"46121984\"] \n  6 -> 12 [size =\"46121984\"]\n  6 -> 13 [size =\"46121984\"]\n  6 -> 14 [size =\"46121984\"]\n  7 [size=\"24850432\", alpha=\"0.18\", expect_size=\"12425216\"] \n  7 -> 12 [size =\"12425216\"]\n  7 -> 14 [size =\"12425216\"]\n  8 [size=\"42577920\", alpha=\"0.08\", expect_size=\"21288960\"] \n  8 -> 9 [size =\"21288960\"]\n  8 -> 10 [size =\"21288960\"]\n  8 -> 14 [size =\"21288960\"]\n  9 [size=\"26816512\", alpha=\"0.11\", expect_size=\"13408256\"] \n  9 -> 16 [size =\"13408256\"]\n  9 -> 20 [size =\"13408256\"]\n  10 [size=\"30111744\", alpha=\"0.18\", expect_size=\"15055872\"] \n  11 [size=\"71520256\", alpha=\"0.09\", expect_size=\"35760128\"] \n  11 -> 16 [size =\"35760128\"]\n  11 -> 17 [size =\"35760128\"]\n  12 [size=\"81944576\", alpha=\"0.06\", expect_size=\"40972288\"] \n  12 -> 16 [size =\"40972288\"]\n  12 -> 19 [size =\"40972288\"]\n  13 [size=\"11286528\", alpha=\"0.15\", expect_size=\"5643264\"] \n  13 -> 18 [size =\"5643264\"]\n  13 -> 19 [size =\"5643264\"]\n  14 [size=\"82339840\", alpha=\"0.18\", expect_size=\"41169920\"] \n  14 -> 18 [size =\"41169920\"]\n  15 [size=\"41361408\", alpha=\"0.04\", expect_size=\"20680704\"] \n  15 -> 18 [size =\"20680704\"]\n  15 -> 20 [size =\"20680704\"]\n  16 [size=\"98394112\", alpha=\"0.20\", expect_size=\"49197056\"] \n  17 [size=\"86695936\", alpha=\"0.05\", expect_size=\"43347968\"] \n  18 [size=\"76292096\", alpha=\"0.15\", expect_size=\"38146048\"] \n  19 [size=\"18776064\", alpha=\"0.19\", expect_size=\"9388032\"] \n  20 [size=\"69228544\", alpha=\"0.13\", expect_size=\"34614272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16578560\", alpha=\"0.14\", expect_size=\"6631424\"] \n  1 -> 2 [size =\"6631424\"]\n  2 [size=\"88852480\", alpha=\"0.19\", expect_size=\"35540992\"] \n  2 -> 3 [size =\"35540992\"]\n  3 [size=\"110056960\", alpha=\"0.18\", expect_size=\"44022784\"] \n  3 -> 4 [size =\"44022784\"]\n  4 [size=\"92851200\", alpha=\"0.03\", expect_size=\"37140480\"] \n  4 -> 5 [size =\"37140480\"]\n  5 [size=\"57792000\", alpha=\"0.03\", expect_size=\"23116800\"] \n  5 -> 6 [size =\"23116800\"]\n  6 [size=\"44687360\", alpha=\"0.13\", expect_size=\"17874944\"] \n  6 -> 7 [size =\"17874944\"]\n  7 [size=\"99381760\", alpha=\"0.12\", expect_size=\"39752704\"] \n  7 -> 8 [size =\"39752704\"]\n  8 [size=\"97779200\", alpha=\"0.06\", expect_size=\"39111680\"] \n  8 -> 9 [size =\"39111680\"]\n  9 [size=\"125870080\", alpha=\"0.10\", expect_size=\"50348032\"] \n  9 -> 10 [size =\"50348032\"]\n  10 [size=\"86673920\", alpha=\"0.05\", expect_size=\"34669568\"] \n  10 -> 11 [size =\"34669568\"]\n  11 [size=\"43417600\", alpha=\"0.01\", expect_size=\"17367040\"] \n  11 -> 12 [size =\"17367040\"]\n  12 [size=\"124958720\", alpha=\"0.17\", expect_size=\"49983488\"] \n  12 -> 13 [size =\"49983488\"]\n  13 [size=\"117788160\", alpha=\"0.08\", expect_size=\"47115264\"] \n  13 -> 14 [size =\"47115264\"]\n  14 [size=\"105507840\", alpha=\"0.18\", expect_size=\"42203136\"] \n  14 -> 15 [size =\"42203136\"]\n  15 [size=\"121093120\", alpha=\"0.08\", expect_size=\"48437248\"] \n  15 -> 16 [size =\"48437248\"]\n  16 [size=\"18521600\", alpha=\"0.19\", expect_size=\"7408640\"] \n  16 -> 17 [size =\"7408640\"]\n  17 [size=\"97776640\", alpha=\"0.17\", expect_size=\"39110656\"] \n  17 -> 18 [size =\"39110656\"]\n  18 [size=\"48058880\", alpha=\"0.08\", expect_size=\"19223552\"] \n  18 -> 19 [size =\"19223552\"]\n  19 [size=\"81464320\", alpha=\"0.19\", expect_size=\"32585728\"] \n  19 -> 20 [size =\"32585728\"]\n  20 [size=\"21962240\", alpha=\"0.13\", expect_size=\"8784896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24780800\", alpha=\"0.15\", expect_size=\"12390400\"] \n  1 -> 14 [size =\"12390400\"]\n  1 -> 15 [size =\"12390400\"]\n  1 -> 19 [size =\"12390400\"]\n  2 [size=\"57317376\", alpha=\"0.11\", expect_size=\"28658688\"] \n  2 -> 15 [size =\"28658688\"]\n  2 -> 17 [size =\"28658688\"]\n  2 -> 19 [size =\"28658688\"]\n  3 [size=\"102610944\", alpha=\"0.10\", expect_size=\"51305472\"] \n  3 -> 14 [size =\"51305472\"]\n  3 -> 15 [size =\"51305472\"]\n  3 -> 17 [size =\"51305472\"]\n  3 -> 19 [size =\"51305472\"]\n  4 [size=\"95797248\", alpha=\"0.17\", expect_size=\"47898624\"] \n  4 -> 15 [size =\"47898624\"]\n  4 -> 15 [size =\"47898624\"]\n  4 -> 19 [size =\"47898624\"]\n  4 -> 19 [size =\"47898624\"]\n  4 -> 20 [size =\"47898624\"]\n  5 [size=\"13910016\", alpha=\"0.01\", expect_size=\"6955008\"] \n  5 -> 15 [size =\"6955008\"]\n  5 -> 16 [size =\"6955008\"]\n  5 -> 17 [size =\"6955008\"]\n  5 -> 18 [size =\"6955008\"]\n  5 -> 19 [size =\"6955008\"]\n  5 -> 20 [size =\"6955008\"]\n  6 [size=\"26171392\", alpha=\"0.09\", expect_size=\"13085696\"] \n  6 -> 15 [size =\"13085696\"]\n  6 -> 18 [size =\"13085696\"]\n  7 [size=\"26626048\", alpha=\"0.12\", expect_size=\"13313024\"] \n  7 -> 18 [size =\"13313024\"]\n  7 -> 19 [size =\"13313024\"]\n  7 -> 20 [size =\"13313024\"]\n  8 [size=\"46405632\", alpha=\"0.08\", expect_size=\"23202816\"] \n  8 -> 15 [size =\"23202816\"]\n  9 [size=\"80033792\", alpha=\"0.11\", expect_size=\"40016896\"] \n  9 -> 14 [size =\"40016896\"]\n  9 -> 17 [size =\"40016896\"]\n  9 -> 18 [size =\"40016896\"]\n  9 -> 19 [size =\"40016896\"]\n  10 [size=\"85825536\", alpha=\"0.00\", expect_size=\"42912768\"] \n  10 -> 14 [size =\"42912768\"]\n  10 -> 18 [size =\"42912768\"]\n  10 -> 18 [size =\"42912768\"]\n  10 -> 19 [size =\"42912768\"]\n  11 [size=\"88451072\", alpha=\"0.03\", expect_size=\"44225536\"] \n  11 -> 18 [size =\"44225536\"]\n  11 -> 18 [size =\"44225536\"]\n  11 -> 19 [size =\"44225536\"]\n  11 -> 19 [size =\"44225536\"]\n  12 [size=\"65382400\", alpha=\"0.18\", expect_size=\"32691200\"] \n  12 -> 16 [size =\"32691200\"]\n  12 -> 17 [size =\"32691200\"]\n  12 -> 20 [size =\"32691200\"]\n  13 [size=\"23099392\", alpha=\"0.20\", expect_size=\"11549696\"] \n  13 -> 15 [size =\"11549696\"]\n  13 -> 17 [size =\"11549696\"]\n  13 -> 18 [size =\"11549696\"]\n  13 -> 19 [size =\"11549696\"]\n  14 [size=\"70586368\", alpha=\"0.10\", expect_size=\"35293184\"] \n  15 [size=\"55390208\", alpha=\"0.03\", expect_size=\"27695104\"] \n  16 [size=\"57997312\", alpha=\"0.05\", expect_size=\"28998656\"] \n  17 [size=\"100743168\", alpha=\"0.13\", expect_size=\"50371584\"] \n  18 [size=\"62230528\", alpha=\"0.08\", expect_size=\"31115264\"] \n  19 [size=\"99201024\", alpha=\"0.07\", expect_size=\"49600512\"] \n  20 [size=\"58955776\", alpha=\"0.01\", expect_size=\"29477888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45304320\", alpha=\"0.19\", expect_size=\"18121728\"] \n  1 -> 9 [size =\"18121728\"]\n  1 -> 10 [size =\"18121728\"]\n  1 -> 12 [size =\"18121728\"]\n  1 -> 13 [size =\"18121728\"]\n  1 -> 16 [size =\"18121728\"]\n  2 [size=\"69539840\", alpha=\"0.12\", expect_size=\"27815936\"] \n  2 -> 11 [size =\"27815936\"]\n  2 -> 12 [size =\"27815936\"]\n  2 -> 16 [size =\"27815936\"]\n  3 [size=\"41059840\", alpha=\"0.04\", expect_size=\"16423936\"] \n  3 -> 12 [size =\"16423936\"]\n  4 [size=\"48473600\", alpha=\"0.00\", expect_size=\"19389440\"] \n  4 -> 12 [size =\"19389440\"]\n  4 -> 13 [size =\"19389440\"]\n  4 -> 14 [size =\"19389440\"]\n  5 [size=\"76677120\", alpha=\"0.14\", expect_size=\"30670848\"] \n  5 -> 9 [size =\"30670848\"]\n  5 -> 10 [size =\"30670848\"]\n  5 -> 12 [size =\"30670848\"]\n  5 -> 13 [size =\"30670848\"]\n  6 [size=\"15480320\", alpha=\"0.16\", expect_size=\"6192128\"] \n  6 -> 9 [size =\"6192128\"]\n  6 -> 11 [size =\"6192128\"]\n  6 -> 13 [size =\"6192128\"]\n  7 [size=\"68702720\", alpha=\"0.02\", expect_size=\"27481088\"] \n  7 -> 9 [size =\"27481088\"]\n  7 -> 12 [size =\"27481088\"]\n  7 -> 13 [size =\"27481088\"]\n  8 [size=\"37918720\", alpha=\"0.13\", expect_size=\"15167488\"] \n  8 -> 9 [size =\"15167488\"]\n  8 -> 13 [size =\"15167488\"]\n  8 -> 15 [size =\"15167488\"]\n  9 [size=\"52915200\", alpha=\"0.08\", expect_size=\"21166080\"] \n  9 -> 19 [size =\"21166080\"]\n  9 -> 20 [size =\"21166080\"]\n  10 [size=\"59571200\", alpha=\"0.05\", expect_size=\"23828480\"] \n  10 -> 17 [size =\"23828480\"]\n  10 -> 20 [size =\"23828480\"]\n  11 [size=\"89359360\", alpha=\"0.08\", expect_size=\"35743744\"] \n  11 -> 17 [size =\"35743744\"]\n  11 -> 18 [size =\"35743744\"]\n  11 -> 20 [size =\"35743744\"]\n  12 [size=\"81431040\", alpha=\"0.00\", expect_size=\"32572416\"] \n  12 -> 17 [size =\"32572416\"]\n  12 -> 18 [size =\"32572416\"]\n  12 -> 19 [size =\"32572416\"]\n  12 -> 20 [size =\"32572416\"]\n  13 [size=\"32017920\", alpha=\"0.01\", expect_size=\"12807168\"] \n  13 -> 18 [size =\"12807168\"]\n  13 -> 19 [size =\"12807168\"]\n  14 [size=\"58035200\", alpha=\"0.09\", expect_size=\"23214080\"] \n  14 -> 18 [size =\"23214080\"]\n  14 -> 20 [size =\"23214080\"]\n  15 [size=\"59320320\", alpha=\"0.17\", expect_size=\"23728128\"] \n  15 -> 17 [size =\"23728128\"]\n  15 -> 18 [size =\"23728128\"]\n  16 [size=\"22103040\", alpha=\"0.12\", expect_size=\"8841216\"] \n  17 [size=\"116902400\", alpha=\"0.02\", expect_size=\"46760960\"] \n  18 [size=\"129699840\", alpha=\"0.19\", expect_size=\"51879936\"] \n  19 [size=\"87168000\", alpha=\"0.04\", expect_size=\"34867200\"] \n  20 [size=\"17082880\", alpha=\"0.02\", expect_size=\"6833152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48234496\", alpha=\"0.09\", expect_size=\"24117248\"] \n  1 -> 2 [size =\"24117248\"]\n  2 [size=\"61773824\", alpha=\"0.06\", expect_size=\"30886912\"] \n  2 -> 3 [size =\"30886912\"]\n  3 [size=\"67434496\", alpha=\"0.01\", expect_size=\"33717248\"] \n  3 -> 4 [size =\"33717248\"]\n  4 [size=\"29818880\", alpha=\"0.14\", expect_size=\"14909440\"] \n  4 -> 5 [size =\"14909440\"]\n  5 [size=\"84662272\", alpha=\"0.11\", expect_size=\"42331136\"] \n  5 -> 6 [size =\"42331136\"]\n  6 [size=\"14606336\", alpha=\"0.17\", expect_size=\"7303168\"] \n  6 -> 7 [size =\"7303168\"]\n  7 [size=\"24477696\", alpha=\"0.17\", expect_size=\"12238848\"] \n  7 -> 8 [size =\"12238848\"]\n  8 [size=\"63766528\", alpha=\"0.20\", expect_size=\"31883264\"] \n  8 -> 9 [size =\"31883264\"]\n  9 [size=\"14157824\", alpha=\"0.01\", expect_size=\"7078912\"] \n  9 -> 10 [size =\"7078912\"]\n  10 [size=\"67989504\", alpha=\"0.04\", expect_size=\"33994752\"] \n  10 -> 11 [size =\"33994752\"]\n  11 [size=\"70557696\", alpha=\"0.02\", expect_size=\"35278848\"] \n  11 -> 12 [size =\"35278848\"]\n  12 [size=\"19214336\", alpha=\"0.03\", expect_size=\"9607168\"] \n  12 -> 13 [size =\"9607168\"]\n  13 [size=\"47665152\", alpha=\"0.01\", expect_size=\"23832576\"] \n  13 -> 14 [size =\"23832576\"]\n  14 [size=\"53581824\", alpha=\"0.01\", expect_size=\"26790912\"] \n  14 -> 15 [size =\"26790912\"]\n  15 [size=\"24938496\", alpha=\"0.18\", expect_size=\"12469248\"] \n  15 -> 16 [size =\"12469248\"]\n  16 [size=\"76773376\", alpha=\"0.18\", expect_size=\"38386688\"] \n  16 -> 17 [size =\"38386688\"]\n  17 [size=\"62857216\", alpha=\"0.08\", expect_size=\"31428608\"] \n  17 -> 18 [size =\"31428608\"]\n  18 [size=\"48723968\", alpha=\"0.07\", expect_size=\"24361984\"] \n  18 -> 19 [size =\"24361984\"]\n  19 [size=\"47740928\", alpha=\"0.09\", expect_size=\"23870464\"] \n  19 -> 20 [size =\"23870464\"]\n  20 [size=\"52746240\", alpha=\"0.01\", expect_size=\"26373120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50053120\", alpha=\"0.04\", expect_size=\"15015936\"] \n  1 -> 7 [size =\"15015936\"]\n  1 -> 8 [size =\"15015936\"]\n  2 [size=\"161252693\", alpha=\"0.11\", expect_size=\"48375808\"] \n  2 -> 7 [size =\"48375808\"]\n  2 -> 8 [size =\"48375808\"]\n  3 [size=\"113664000\", alpha=\"0.00\", expect_size=\"34099200\"] \n  3 -> 5 [size =\"34099200\"]\n  4 [size=\"169847467\", alpha=\"0.14\", expect_size=\"50954240\"] \n  4 -> 5 [size =\"50954240\"]\n  4 -> 6 [size =\"50954240\"]\n  4 -> 8 [size =\"50954240\"]\n  5 [size=\"83374080\", alpha=\"0.09\", expect_size=\"25012224\"] \n  5 -> 9 [size =\"25012224\"]\n  5 -> 10 [size =\"25012224\"]\n  5 -> 11 [size =\"25012224\"]\n  6 [size=\"110936747\", alpha=\"0.07\", expect_size=\"33281024\"] \n  6 -> 9 [size =\"33281024\"]\n  6 -> 10 [size =\"33281024\"]\n  6 -> 11 [size =\"33281024\"]\n  7 [size=\"125429760\", alpha=\"0.01\", expect_size=\"37628928\"] \n  7 -> 9 [size =\"37628928\"]\n  7 -> 10 [size =\"37628928\"]\n  8 [size=\"135123627\", alpha=\"0.01\", expect_size=\"40537088\"] \n  8 -> 11 [size =\"40537088\"]\n  9 [size=\"119487147\", alpha=\"0.15\", expect_size=\"35846144\"] \n  9 -> 12 [size =\"35846144\"]\n  9 -> 13 [size =\"35846144\"]\n  9 -> 14 [size =\"35846144\"]\n  9 -> 16 [size =\"35846144\"]\n  10 [size=\"19042987\", alpha=\"0.05\", expect_size=\"5712896\"] \n  10 -> 12 [size =\"5712896\"]\n  10 -> 13 [size =\"5712896\"]\n  10 -> 15 [size =\"5712896\"]\n  10 -> 16 [size =\"5712896\"]\n  11 [size=\"157242027\", alpha=\"0.09\", expect_size=\"47172608\"] \n  11 -> 12 [size =\"47172608\"]\n  11 -> 15 [size =\"47172608\"]\n  11 -> 16 [size =\"47172608\"]\n  12 [size=\"30955520\", alpha=\"0.00\", expect_size=\"9286656\"] \n  12 -> 18 [size =\"9286656\"]\n  13 [size=\"117507413\", alpha=\"0.01\", expect_size=\"35252224\"] \n  13 -> 17 [size =\"35252224\"]\n  13 -> 18 [size =\"35252224\"]\n  14 [size=\"117701973\", alpha=\"0.16\", expect_size=\"35310592\"] \n  14 -> 17 [size =\"35310592\"]\n  14 -> 18 [size =\"35310592\"]\n  15 [size=\"73919147\", alpha=\"0.18\", expect_size=\"22175744\"] \n  15 -> 17 [size =\"22175744\"]\n  15 -> 18 [size =\"22175744\"]\n  15 -> 19 [size =\"22175744\"]\n  16 [size=\"146070187\", alpha=\"0.16\", expect_size=\"43821056\"] \n  17 [size=\"45933227\", alpha=\"0.03\", expect_size=\"13779968\"] \n  17 -> 20 [size =\"13779968\"]\n  18 [size=\"57627307\", alpha=\"0.02\", expect_size=\"17288192\"] \n  18 -> 20 [size =\"17288192\"]\n  19 [size=\"65850027\", alpha=\"0.19\", expect_size=\"19755008\"] \n  19 -> 20 [size =\"19755008\"]\n  20 [size=\"23838720\", alpha=\"0.14\", expect_size=\"7151616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93801813\", alpha=\"0.02\", expect_size=\"28140544\"] \n  1 -> 2 [size =\"28140544\"]\n  1 -> 3 [size =\"28140544\"]\n  2 [size=\"135662933\", alpha=\"0.09\", expect_size=\"40698880\"] \n  2 -> 4 [size =\"40698880\"]\n  3 [size=\"34020693\", alpha=\"0.06\", expect_size=\"10206208\"] \n  3 -> 4 [size =\"10206208\"]\n  4 [size=\"113100800\", alpha=\"0.16\", expect_size=\"33930240\"] \n  4 -> 5 [size =\"33930240\"]\n  4 -> 6 [size =\"33930240\"]\n  5 [size=\"95651840\", alpha=\"0.13\", expect_size=\"28695552\"] \n  5 -> 7 [size =\"28695552\"]\n  6 [size=\"46421333\", alpha=\"0.15\", expect_size=\"13926400\"] \n  7 [size=\"126296747\", alpha=\"0.06\", expect_size=\"37889024\"] \n  7 -> 8 [size =\"37889024\"]\n  7 -> 9 [size =\"37889024\"]\n  8 [size=\"25914027\", alpha=\"0.15\", expect_size=\"7774208\"] \n  9 [size=\"76991147\", alpha=\"0.06\", expect_size=\"23097344\"] \n  9 -> 10 [size =\"23097344\"]\n  10 [size=\"86958080\", alpha=\"0.05\", expect_size=\"26087424\"] \n  10 -> 11 [size =\"26087424\"]\n  11 [size=\"32518827\", alpha=\"0.02\", expect_size=\"9755648\"] \n  11 -> 12 [size =\"9755648\"]\n  12 [size=\"51797333\", alpha=\"0.18\", expect_size=\"15539200\"] \n  12 -> 13 [size =\"15539200\"]\n  12 -> 14 [size =\"15539200\"]\n  13 [size=\"119511040\", alpha=\"0.02\", expect_size=\"35853312\"] \n  13 -> 15 [size =\"35853312\"]\n  14 [size=\"169325227\", alpha=\"0.05\", expect_size=\"50797568\"] \n  14 -> 15 [size =\"50797568\"]\n  15 [size=\"134260053\", alpha=\"0.08\", expect_size=\"40278016\"] \n  15 -> 16 [size =\"40278016\"]\n  15 -> 17 [size =\"40278016\"]\n  16 [size=\"77619200\", alpha=\"0.16\", expect_size=\"23285760\"] \n  16 -> 18 [size =\"23285760\"]\n  16 -> 19 [size =\"23285760\"]\n  17 [size=\"37212160\", alpha=\"0.13\", expect_size=\"11163648\"] \n  17 -> 19 [size =\"11163648\"]\n  18 [size=\"84729173\", alpha=\"0.06\", expect_size=\"25418752\"] \n  18 -> 20 [size =\"25418752\"]\n  19 [size=\"42427733\", alpha=\"0.05\", expect_size=\"12728320\"] \n  19 -> 20 [size =\"12728320\"]\n  20 [size=\"91849387\", alpha=\"0.02\", expect_size=\"27554816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106752000\", alpha=\"0.15\", expect_size=\"32025600\"] \n  1 -> 16 [size =\"32025600\"]\n  1 -> 17 [size =\"32025600\"]\n  1 -> 19 [size =\"32025600\"]\n  1 -> 20 [size =\"32025600\"]\n  2 [size=\"57903787\", alpha=\"0.18\", expect_size=\"17371136\"] \n  2 -> 17 [size =\"17371136\"]\n  2 -> 19 [size =\"17371136\"]\n  3 [size=\"82517333\", alpha=\"0.12\", expect_size=\"24755200\"] \n  3 -> 16 [size =\"24755200\"]\n  3 -> 17 [size =\"24755200\"]\n  3 -> 20 [size =\"24755200\"]\n  4 [size=\"126269440\", alpha=\"0.15\", expect_size=\"37880832\"] \n  4 -> 16 [size =\"37880832\"]\n  4 -> 17 [size =\"37880832\"]\n  4 -> 20 [size =\"37880832\"]\n  5 [size=\"168584533\", alpha=\"0.10\", expect_size=\"50575360\"] \n  5 -> 16 [size =\"50575360\"]\n  5 -> 17 [size =\"50575360\"]\n  5 -> 20 [size =\"50575360\"]\n  6 [size=\"138728107\", alpha=\"0.15\", expect_size=\"41618432\"] \n  6 -> 17 [size =\"41618432\"]\n  6 -> 18 [size =\"41618432\"]\n  6 -> 20 [size =\"41618432\"]\n  7 [size=\"55125333\", alpha=\"0.04\", expect_size=\"16537600\"] \n  7 -> 20 [size =\"16537600\"]\n  8 [size=\"149254827\", alpha=\"0.14\", expect_size=\"44776448\"] \n  8 -> 20 [size =\"44776448\"]\n  9 [size=\"80698027\", alpha=\"0.06\", expect_size=\"24209408\"] \n  9 -> 16 [size =\"24209408\"]\n  9 -> 18 [size =\"24209408\"]\n  9 -> 20 [size =\"24209408\"]\n  10 [size=\"142424747\", alpha=\"0.02\", expect_size=\"42727424\"] \n  10 -> 19 [size =\"42727424\"]\n  10 -> 20 [size =\"42727424\"]\n  11 [size=\"37147307\", alpha=\"0.06\", expect_size=\"11144192\"] \n  11 -> 18 [size =\"11144192\"]\n  11 -> 19 [size =\"11144192\"]\n  12 [size=\"151299413\", alpha=\"0.09\", expect_size=\"45389824\"] \n  12 -> 16 [size =\"45389824\"]\n  12 -> 17 [size =\"45389824\"]\n  12 -> 18 [size =\"45389824\"]\n  12 -> 19 [size =\"45389824\"]\n  13 [size=\"137113600\", alpha=\"0.04\", expect_size=\"41134080\"] \n  13 -> 15 [size =\"41134080\"]\n  13 -> 16 [size =\"41134080\"]\n  13 -> 18 [size =\"41134080\"]\n  13 -> 19 [size =\"41134080\"]\n  14 [size=\"70447787\", alpha=\"0.18\", expect_size=\"21134336\"] \n  14 -> 15 [size =\"21134336\"]\n  14 -> 16 [size =\"21134336\"]\n  14 -> 17 [size =\"21134336\"]\n  14 -> 18 [size =\"21134336\"]\n  14 -> 19 [size =\"21134336\"]\n  14 -> 20 [size =\"21134336\"]\n  15 [size=\"31105707\", alpha=\"0.14\", expect_size=\"9331712\"] \n  16 [size=\"106045440\", alpha=\"0.08\", expect_size=\"31813632\"] \n  17 [size=\"65587200\", alpha=\"0.04\", expect_size=\"19676160\"] \n  18 [size=\"98355200\", alpha=\"0.15\", expect_size=\"29506560\"] \n  19 [size=\"54080853\", alpha=\"0.05\", expect_size=\"16224256\"] \n  20 [size=\"101881173\", alpha=\"0.07\", expect_size=\"30564352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47579136\", alpha=\"0.03\", expect_size=\"23789568\"] \n  1 -> 2 [size =\"23789568\"]\n  2 [size=\"19030016\", alpha=\"0.04\", expect_size=\"9515008\"] \n  2 -> 3 [size =\"9515008\"]\n  3 [size=\"89178112\", alpha=\"0.00\", expect_size=\"44589056\"] \n  3 -> 4 [size =\"44589056\"]\n  4 [size=\"98893824\", alpha=\"0.01\", expect_size=\"49446912\"] \n  4 -> 5 [size =\"49446912\"]\n  5 [size=\"66785280\", alpha=\"0.08\", expect_size=\"33392640\"] \n  5 -> 6 [size =\"33392640\"]\n  6 [size=\"75991040\", alpha=\"0.15\", expect_size=\"37995520\"] \n  6 -> 7 [size =\"37995520\"]\n  7 [size=\"29233152\", alpha=\"0.04\", expect_size=\"14616576\"] \n  7 -> 8 [size =\"14616576\"]\n  8 [size=\"85952512\", alpha=\"0.14\", expect_size=\"42976256\"] \n  8 -> 9 [size =\"42976256\"]\n  9 [size=\"72824832\", alpha=\"0.19\", expect_size=\"36412416\"] \n  9 -> 10 [size =\"36412416\"]\n  10 [size=\"58585088\", alpha=\"0.00\", expect_size=\"29292544\"] \n  10 -> 11 [size =\"29292544\"]\n  11 [size=\"18788352\", alpha=\"0.09\", expect_size=\"9394176\"] \n  11 -> 12 [size =\"9394176\"]\n  12 [size=\"30941184\", alpha=\"0.20\", expect_size=\"15470592\"] \n  12 -> 13 [size =\"15470592\"]\n  13 [size=\"49397760\", alpha=\"0.18\", expect_size=\"24698880\"] \n  13 -> 14 [size =\"24698880\"]\n  14 [size=\"50509824\", alpha=\"0.05\", expect_size=\"25254912\"] \n  14 -> 15 [size =\"25254912\"]\n  15 [size=\"55140352\", alpha=\"0.16\", expect_size=\"27570176\"] \n  15 -> 16 [size =\"27570176\"]\n  16 [size=\"91858944\", alpha=\"0.10\", expect_size=\"45929472\"] \n  16 -> 17 [size =\"45929472\"]\n  17 [size=\"69476352\", alpha=\"0.05\", expect_size=\"34738176\"] \n  17 -> 18 [size =\"34738176\"]\n  18 [size=\"86978560\", alpha=\"0.01\", expect_size=\"43489280\"] \n  18 -> 19 [size =\"43489280\"]\n  19 [size=\"59164672\", alpha=\"0.05\", expect_size=\"29582336\"] \n  19 -> 20 [size =\"29582336\"]\n  20 [size=\"52766720\", alpha=\"0.06\", expect_size=\"26383360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169004373\", alpha=\"0.13\", expect_size=\"50701312\"] \n  1 -> 2 [size =\"50701312\"]\n  1 -> 3 [size =\"50701312\"]\n  2 [size=\"50647040\", alpha=\"0.19\", expect_size=\"15194112\"] \n  2 -> 4 [size =\"15194112\"]\n  2 -> 5 [size =\"15194112\"]\n  3 [size=\"80390827\", alpha=\"0.00\", expect_size=\"24117248\"] \n  3 -> 4 [size =\"24117248\"]\n  4 [size=\"22456320\", alpha=\"0.10\", expect_size=\"6736896\"] \n  4 -> 7 [size =\"6736896\"]\n  5 [size=\"41134080\", alpha=\"0.16\", expect_size=\"12340224\"] \n  5 -> 6 [size =\"12340224\"]\n  5 -> 7 [size =\"12340224\"]\n  6 [size=\"126276267\", alpha=\"0.11\", expect_size=\"37882880\"] \n  6 -> 8 [size =\"37882880\"]\n  6 -> 9 [size =\"37882880\"]\n  7 [size=\"165946027\", alpha=\"0.07\", expect_size=\"49783808\"] \n  7 -> 8 [size =\"49783808\"]\n  7 -> 9 [size =\"49783808\"]\n  8 [size=\"162474667\", alpha=\"0.20\", expect_size=\"48742400\"] \n  8 -> 10 [size =\"48742400\"]\n  9 [size=\"19797333\", alpha=\"0.02\", expect_size=\"5939200\"] \n  9 -> 10 [size =\"5939200\"]\n  9 -> 11 [size =\"5939200\"]\n  10 [size=\"112332800\", alpha=\"0.09\", expect_size=\"33699840\"] \n  10 -> 12 [size =\"33699840\"]\n  11 [size=\"83698347\", alpha=\"0.08\", expect_size=\"25109504\"] \n  11 -> 12 [size =\"25109504\"]\n  12 [size=\"27190613\", alpha=\"0.15\", expect_size=\"8157184\"] \n  12 -> 13 [size =\"8157184\"]\n  13 [size=\"20684800\", alpha=\"0.15\", expect_size=\"6205440\"] \n  13 -> 14 [size =\"6205440\"]\n  14 [size=\"23954773\", alpha=\"0.12\", expect_size=\"7186432\"] \n  14 -> 15 [size =\"7186432\"]\n  14 -> 16 [size =\"7186432\"]\n  15 [size=\"104861013\", alpha=\"0.17\", expect_size=\"31458304\"] \n  16 [size=\"73632427\", alpha=\"0.08\", expect_size=\"22089728\"] \n  16 -> 17 [size =\"22089728\"]\n  17 [size=\"162358613\", alpha=\"0.19\", expect_size=\"48707584\"] \n  17 -> 18 [size =\"48707584\"]\n  18 [size=\"59183787\", alpha=\"0.09\", expect_size=\"17755136\"] \n  18 -> 19 [size =\"17755136\"]\n  18 -> 20 [size =\"17755136\"]\n  19 [size=\"57043627\", alpha=\"0.01\", expect_size=\"17113088\"] \n  20 [size=\"76584960\", alpha=\"0.16\", expect_size=\"22975488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125907627\", alpha=\"0.19\", expect_size=\"37772288\"] \n  1 -> 2 [size =\"37772288\"]\n  2 [size=\"109151573\", alpha=\"0.02\", expect_size=\"32745472\"] \n  2 -> 3 [size =\"32745472\"]\n  3 [size=\"46062933\", alpha=\"0.18\", expect_size=\"13818880\"] \n  3 -> 4 [size =\"13818880\"]\n  4 [size=\"49257813\", alpha=\"0.17\", expect_size=\"14777344\"] \n  4 -> 5 [size =\"14777344\"]\n  5 [size=\"19875840\", alpha=\"0.10\", expect_size=\"5962752\"] \n  5 -> 6 [size =\"5962752\"]\n  6 [size=\"151190187\", alpha=\"0.06\", expect_size=\"45357056\"] \n  6 -> 7 [size =\"45357056\"]\n  7 [size=\"101795840\", alpha=\"0.01\", expect_size=\"30538752\"] \n  7 -> 8 [size =\"30538752\"]\n  8 [size=\"45223253\", alpha=\"0.14\", expect_size=\"13566976\"] \n  8 -> 9 [size =\"13566976\"]\n  9 [size=\"134813013\", alpha=\"0.05\", expect_size=\"40443904\"] \n  9 -> 10 [size =\"40443904\"]\n  10 [size=\"68345173\", alpha=\"0.12\", expect_size=\"20503552\"] \n  10 -> 11 [size =\"20503552\"]\n  11 [size=\"104188587\", alpha=\"0.05\", expect_size=\"31256576\"] \n  11 -> 12 [size =\"31256576\"]\n  12 [size=\"95180800\", alpha=\"0.15\", expect_size=\"28554240\"] \n  12 -> 13 [size =\"28554240\"]\n  13 [size=\"113442133\", alpha=\"0.09\", expect_size=\"34032640\"] \n  13 -> 14 [size =\"34032640\"]\n  14 [size=\"95515307\", alpha=\"0.16\", expect_size=\"28654592\"] \n  14 -> 15 [size =\"28654592\"]\n  15 [size=\"73144320\", alpha=\"0.10\", expect_size=\"21943296\"] \n  15 -> 16 [size =\"21943296\"]\n  16 [size=\"148565333\", alpha=\"0.06\", expect_size=\"44569600\"] \n  16 -> 17 [size =\"44569600\"]\n  17 [size=\"38311253\", alpha=\"0.17\", expect_size=\"11493376\"] \n  17 -> 18 [size =\"11493376\"]\n  18 [size=\"48158720\", alpha=\"0.02\", expect_size=\"14447616\"] \n  18 -> 19 [size =\"14447616\"]\n  19 [size=\"156784640\", alpha=\"0.15\", expect_size=\"47035392\"] \n  19 -> 20 [size =\"47035392\"]\n  20 [size=\"40389973\", alpha=\"0.05\", expect_size=\"12116992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122187093\", alpha=\"0.20\", expect_size=\"36656128\"] \n  1 -> 3 [size =\"36656128\"]\n  2 [size=\"85401600\", alpha=\"0.05\", expect_size=\"25620480\"] \n  3 [size=\"102601387\", alpha=\"0.15\", expect_size=\"30780416\"] \n  3 -> 4 [size =\"30780416\"]\n  3 -> 5 [size =\"30780416\"]\n  4 [size=\"70341973\", alpha=\"0.19\", expect_size=\"21102592\"] \n  4 -> 7 [size =\"21102592\"]\n  5 [size=\"105584640\", alpha=\"0.02\", expect_size=\"31675392\"] \n  5 -> 6 [size =\"31675392\"]\n  5 -> 7 [size =\"31675392\"]\n  6 [size=\"104574293\", alpha=\"0.11\", expect_size=\"31372288\"] \n  7 [size=\"55040000\", alpha=\"0.10\", expect_size=\"16512000\"] \n  7 -> 8 [size =\"16512000\"]\n  8 [size=\"174240427\", alpha=\"0.11\", expect_size=\"52272128\"] \n  8 -> 9 [size =\"52272128\"]\n  9 [size=\"101355520\", alpha=\"0.18\", expect_size=\"30406656\"] \n  9 -> 10 [size =\"30406656\"]\n  9 -> 11 [size =\"30406656\"]\n  10 [size=\"89859413\", alpha=\"0.18\", expect_size=\"26957824\"] \n  10 -> 13 [size =\"26957824\"]\n  11 [size=\"156453547\", alpha=\"0.16\", expect_size=\"46936064\"] \n  11 -> 12 [size =\"46936064\"]\n  11 -> 13 [size =\"46936064\"]\n  12 [size=\"153289387\", alpha=\"0.14\", expect_size=\"45986816\"] \n  13 [size=\"32610987\", alpha=\"0.10\", expect_size=\"9783296\"] \n  13 -> 14 [size =\"9783296\"]\n  14 [size=\"148940800\", alpha=\"0.16\", expect_size=\"44682240\"] \n  14 -> 15 [size =\"44682240\"]\n  14 -> 16 [size =\"44682240\"]\n  15 [size=\"138772480\", alpha=\"0.18\", expect_size=\"41631744\"] \n  15 -> 17 [size =\"41631744\"]\n  16 [size=\"152418987\", alpha=\"0.14\", expect_size=\"45725696\"] \n  17 [size=\"78830933\", alpha=\"0.13\", expect_size=\"23649280\"] \n  17 -> 18 [size =\"23649280\"]\n  17 -> 19 [size =\"23649280\"]\n  18 [size=\"161109333\", alpha=\"0.16\", expect_size=\"48332800\"] \n  18 -> 20 [size =\"48332800\"]\n  19 [size=\"90190507\", alpha=\"0.14\", expect_size=\"27057152\"] \n  19 -> 20 [size =\"27057152\"]\n  20 [size=\"75892053\", alpha=\"0.15\", expect_size=\"22767616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111223467\", alpha=\"0.01\", expect_size=\"33367040\"] \n  1 -> 19 [size =\"33367040\"]\n  2 [size=\"169594880\", alpha=\"0.17\", expect_size=\"50878464\"] \n  2 -> 17 [size =\"50878464\"]\n  2 -> 18 [size =\"50878464\"]\n  3 [size=\"170076160\", alpha=\"0.03\", expect_size=\"51022848\"] \n  3 -> 17 [size =\"51022848\"]\n  3 -> 19 [size =\"51022848\"]\n  4 [size=\"145230507\", alpha=\"0.05\", expect_size=\"43569152\"] \n  4 -> 16 [size =\"43569152\"]\n  4 -> 19 [size =\"43569152\"]\n  4 -> 20 [size =\"43569152\"]\n  5 [size=\"76936533\", alpha=\"0.06\", expect_size=\"23080960\"] \n  5 -> 20 [size =\"23080960\"]\n  6 [size=\"82660693\", alpha=\"0.17\", expect_size=\"24798208\"] \n  6 -> 20 [size =\"24798208\"]\n  7 [size=\"90344107\", alpha=\"0.15\", expect_size=\"27103232\"] \n  7 -> 16 [size =\"27103232\"]\n  7 -> 18 [size =\"27103232\"]\n  8 [size=\"103772160\", alpha=\"0.10\", expect_size=\"31131648\"] \n  8 -> 16 [size =\"31131648\"]\n  8 -> 17 [size =\"31131648\"]\n  8 -> 18 [size =\"31131648\"]\n  8 -> 20 [size =\"31131648\"]\n  9 [size=\"95877120\", alpha=\"0.05\", expect_size=\"28763136\"] \n  9 -> 16 [size =\"28763136\"]\n  10 [size=\"85227520\", alpha=\"0.03\", expect_size=\"25568256\"] \n  10 -> 18 [size =\"25568256\"]\n  10 -> 19 [size =\"25568256\"]\n  10 -> 20 [size =\"25568256\"]\n  11 [size=\"79008427\", alpha=\"0.01\", expect_size=\"23702528\"] \n  11 -> 17 [size =\"23702528\"]\n  11 -> 19 [size =\"23702528\"]\n  11 -> 20 [size =\"23702528\"]\n  12 [size=\"89251840\", alpha=\"0.16\", expect_size=\"26775552\"] \n  12 -> 16 [size =\"26775552\"]\n  13 [size=\"67119787\", alpha=\"0.08\", expect_size=\"20135936\"] \n  13 -> 16 [size =\"20135936\"]\n  13 -> 17 [size =\"20135936\"]\n  14 [size=\"93914453\", alpha=\"0.12\", expect_size=\"28174336\"] \n  14 -> 16 [size =\"28174336\"]\n  14 -> 17 [size =\"28174336\"]\n  14 -> 19 [size =\"28174336\"]\n  14 -> 20 [size =\"28174336\"]\n  15 [size=\"136021333\", alpha=\"0.00\", expect_size=\"40806400\"] \n  15 -> 18 [size =\"40806400\"]\n  15 -> 20 [size =\"40806400\"]\n  16 [size=\"24900267\", alpha=\"0.03\", expect_size=\"7470080\"] \n  17 [size=\"160706560\", alpha=\"0.10\", expect_size=\"48211968\"] \n  18 [size=\"119886507\", alpha=\"0.18\", expect_size=\"35965952\"] \n  19 [size=\"44042240\", alpha=\"0.17\", expect_size=\"13212672\"] \n  20 [size=\"81517227\", alpha=\"0.03\", expect_size=\"24455168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35099307\", alpha=\"0.03\", expect_size=\"10529792\"] \n  1 -> 2 [size =\"10529792\"]\n  2 [size=\"142619307\", alpha=\"0.09\", expect_size=\"42785792\"] \n  2 -> 3 [size =\"42785792\"]\n  3 [size=\"84080640\", alpha=\"0.18\", expect_size=\"25224192\"] \n  3 -> 4 [size =\"25224192\"]\n  4 [size=\"27644587\", alpha=\"0.11\", expect_size=\"8293376\"] \n  4 -> 5 [size =\"8293376\"]\n  5 [size=\"72837120\", alpha=\"0.12\", expect_size=\"21851136\"] \n  5 -> 6 [size =\"21851136\"]\n  6 [size=\"62436693\", alpha=\"0.11\", expect_size=\"18731008\"] \n  6 -> 7 [size =\"18731008\"]\n  7 [size=\"54558720\", alpha=\"0.16\", expect_size=\"16367616\"] \n  7 -> 8 [size =\"16367616\"]\n  8 [size=\"163044693\", alpha=\"0.07\", expect_size=\"48913408\"] \n  8 -> 9 [size =\"48913408\"]\n  9 [size=\"64184320\", alpha=\"0.13\", expect_size=\"19255296\"] \n  9 -> 10 [size =\"19255296\"]\n  10 [size=\"167471787\", alpha=\"0.14\", expect_size=\"50241536\"] \n  10 -> 11 [size =\"50241536\"]\n  11 [size=\"118193493\", alpha=\"0.03\", expect_size=\"35458048\"] \n  11 -> 12 [size =\"35458048\"]\n  12 [size=\"141038933\", alpha=\"0.20\", expect_size=\"42311680\"] \n  12 -> 13 [size =\"42311680\"]\n  13 [size=\"58460160\", alpha=\"0.17\", expect_size=\"17538048\"] \n  13 -> 14 [size =\"17538048\"]\n  14 [size=\"46062933\", alpha=\"0.17\", expect_size=\"13818880\"] \n  14 -> 15 [size =\"13818880\"]\n  15 [size=\"130911573\", alpha=\"0.01\", expect_size=\"39273472\"] \n  15 -> 16 [size =\"39273472\"]\n  16 [size=\"64443733\", alpha=\"0.14\", expect_size=\"19333120\"] \n  16 -> 17 [size =\"19333120\"]\n  17 [size=\"152190293\", alpha=\"0.17\", expect_size=\"45657088\"] \n  17 -> 18 [size =\"45657088\"]\n  18 [size=\"124416000\", alpha=\"0.04\", expect_size=\"37324800\"] \n  18 -> 19 [size =\"37324800\"]\n  19 [size=\"22521173\", alpha=\"0.08\", expect_size=\"6756352\"] \n  19 -> 20 [size =\"6756352\"]\n  20 [size=\"128061440\", alpha=\"0.11\", expect_size=\"38418432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127925760\", alpha=\"0.05\", expect_size=\"51170304\"] \n  1 -> 4 [size =\"51170304\"]\n  2 [size=\"74201600\", alpha=\"0.18\", expect_size=\"29680640\"] \n  2 -> 3 [size =\"29680640\"]\n  3 [size=\"73044480\", alpha=\"0.11\", expect_size=\"29217792\"] \n  4 [size=\"77777920\", alpha=\"0.06\", expect_size=\"31111168\"] \n  4 -> 5 [size =\"31111168\"]\n  5 [size=\"63902720\", alpha=\"0.05\", expect_size=\"25561088\"] \n  5 -> 6 [size =\"25561088\"]\n  5 -> 7 [size =\"25561088\"]\n  6 [size=\"84221440\", alpha=\"0.15\", expect_size=\"33688576\"] \n  6 -> 8 [size =\"33688576\"]\n  7 [size=\"64704000\", alpha=\"0.01\", expect_size=\"25881600\"] \n  7 -> 8 [size =\"25881600\"]\n  8 [size=\"26682880\", alpha=\"0.18\", expect_size=\"10673152\"] \n  8 -> 9 [size =\"10673152\"]\n  8 -> 10 [size =\"10673152\"]\n  9 [size=\"50516480\", alpha=\"0.02\", expect_size=\"20206592\"] \n  9 -> 11 [size =\"20206592\"]\n  10 [size=\"42775040\", alpha=\"0.01\", expect_size=\"17110016\"] \n  11 [size=\"81812480\", alpha=\"0.18\", expect_size=\"32724992\"] \n  11 -> 12 [size =\"32724992\"]\n  12 [size=\"109852160\", alpha=\"0.17\", expect_size=\"43940864\"] \n  12 -> 13 [size =\"43940864\"]\n  13 [size=\"97195520\", alpha=\"0.02\", expect_size=\"38878208\"] \n  13 -> 14 [size =\"38878208\"]\n  13 -> 15 [size =\"38878208\"]\n  14 [size=\"46041600\", alpha=\"0.13\", expect_size=\"18416640\"] \n  14 -> 16 [size =\"18416640\"]\n  14 -> 17 [size =\"18416640\"]\n  15 [size=\"83212800\", alpha=\"0.10\", expect_size=\"33285120\"] \n  15 -> 16 [size =\"33285120\"]\n  15 -> 17 [size =\"33285120\"]\n  16 [size=\"114216960\", alpha=\"0.04\", expect_size=\"45686784\"] \n  16 -> 18 [size =\"45686784\"]\n  17 [size=\"82631680\", alpha=\"0.10\", expect_size=\"33052672\"] \n  17 -> 18 [size =\"33052672\"]\n  17 -> 19 [size =\"33052672\"]\n  18 [size=\"87347200\", alpha=\"0.02\", expect_size=\"34938880\"] \n  19 [size=\"74583040\", alpha=\"0.15\", expect_size=\"29833216\"] \n  19 -> 20 [size =\"29833216\"]\n  20 [size=\"84689920\", alpha=\"0.02\", expect_size=\"33875968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33712128\", alpha=\"0.05\", expect_size=\"16856064\"] \n  1 -> 3 [size =\"16856064\"]\n  1 -> 4 [size =\"16856064\"]\n  1 -> 5 [size =\"16856064\"]\n  1 -> 6 [size =\"16856064\"]\n  2 [size=\"89280512\", alpha=\"0.02\", expect_size=\"44640256\"] \n  2 -> 6 [size =\"44640256\"]\n  3 [size=\"33417216\", alpha=\"0.02\", expect_size=\"16708608\"] \n  3 -> 10 [size =\"16708608\"]\n  4 [size=\"48263168\", alpha=\"0.11\", expect_size=\"24131584\"] \n  5 [size=\"97464320\", alpha=\"0.04\", expect_size=\"48732160\"] \n  5 -> 8 [size =\"48732160\"]\n  6 [size=\"69048320\", alpha=\"0.11\", expect_size=\"34524160\"] \n  6 -> 7 [size =\"34524160\"]\n  6 -> 8 [size =\"34524160\"]\n  6 -> 9 [size =\"34524160\"]\n  7 [size=\"98897920\", alpha=\"0.09\", expect_size=\"49448960\"] \n  7 -> 12 [size =\"49448960\"]\n  7 -> 13 [size =\"49448960\"]\n  7 -> 14 [size =\"49448960\"]\n  8 [size=\"30572544\", alpha=\"0.09\", expect_size=\"15286272\"] \n  8 -> 14 [size =\"15286272\"]\n  9 [size=\"51679232\", alpha=\"0.04\", expect_size=\"25839616\"] \n  9 -> 11 [size =\"25839616\"]\n  9 -> 12 [size =\"25839616\"]\n  9 -> 14 [size =\"25839616\"]\n  10 [size=\"15745024\", alpha=\"0.14\", expect_size=\"7872512\"] \n  11 [size=\"61474816\", alpha=\"0.19\", expect_size=\"30737408\"] \n  11 -> 15 [size =\"30737408\"]\n  12 [size=\"82739200\", alpha=\"0.08\", expect_size=\"41369600\"] \n  12 -> 16 [size =\"41369600\"]\n  13 [size=\"93034496\", alpha=\"0.12\", expect_size=\"46517248\"] \n  13 -> 15 [size =\"46517248\"]\n  14 [size=\"104728576\", alpha=\"0.18\", expect_size=\"52364288\"] \n  14 -> 16 [size =\"52364288\"]\n  14 -> 17 [size =\"52364288\"]\n  15 [size=\"62404608\", alpha=\"0.11\", expect_size=\"31202304\"] \n  15 -> 18 [size =\"31202304\"]\n  16 [size=\"80287744\", alpha=\"0.17\", expect_size=\"40143872\"] \n  16 -> 19 [size =\"40143872\"]\n  17 [size=\"35733504\", alpha=\"0.11\", expect_size=\"17866752\"] \n  17 -> 18 [size =\"17866752\"]\n  17 -> 20 [size =\"17866752\"]\n  18 [size=\"77477888\", alpha=\"0.20\", expect_size=\"38738944\"] \n  19 [size=\"26497024\", alpha=\"0.10\", expect_size=\"13248512\"] \n  20 [size=\"44693504\", alpha=\"0.12\", expect_size=\"22346752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162860373\", alpha=\"0.06\", expect_size=\"48858112\"] \n  1 -> 5 [size =\"48858112\"]\n  1 -> 7 [size =\"48858112\"]\n  2 [size=\"33815893\", alpha=\"0.06\", expect_size=\"10144768\"] \n  2 -> 4 [size =\"10144768\"]\n  2 -> 7 [size =\"10144768\"]\n  3 [size=\"38488747\", alpha=\"0.07\", expect_size=\"11546624\"] \n  3 -> 4 [size =\"11546624\"]\n  3 -> 6 [size =\"11546624\"]\n  4 [size=\"42147840\", alpha=\"0.10\", expect_size=\"12644352\"] \n  4 -> 9 [size =\"12644352\"]\n  5 [size=\"61351253\", alpha=\"0.08\", expect_size=\"18405376\"] \n  5 -> 8 [size =\"18405376\"]\n  5 -> 10 [size =\"18405376\"]\n  6 [size=\"123566080\", alpha=\"0.06\", expect_size=\"37069824\"] \n  6 -> 8 [size =\"37069824\"]\n  6 -> 9 [size =\"37069824\"]\n  6 -> 10 [size =\"37069824\"]\n  6 -> 11 [size =\"37069824\"]\n  7 [size=\"60542293\", alpha=\"0.05\", expect_size=\"18162688\"] \n  7 -> 10 [size =\"18162688\"]\n  7 -> 11 [size =\"18162688\"]\n  8 [size=\"120203947\", alpha=\"0.06\", expect_size=\"36061184\"] \n  8 -> 14 [size =\"36061184\"]\n  9 [size=\"169004373\", alpha=\"0.05\", expect_size=\"50701312\"] \n  9 -> 12 [size =\"50701312\"]\n  9 -> 13 [size =\"50701312\"]\n  9 -> 14 [size =\"50701312\"]\n  10 [size=\"155279360\", alpha=\"0.19\", expect_size=\"46583808\"] \n  10 -> 12 [size =\"46583808\"]\n  10 -> 13 [size =\"46583808\"]\n  11 [size=\"122760533\", alpha=\"0.01\", expect_size=\"36828160\"] \n  11 -> 13 [size =\"36828160\"]\n  11 -> 15 [size =\"36828160\"]\n  12 [size=\"170690560\", alpha=\"0.16\", expect_size=\"51207168\"] \n  12 -> 16 [size =\"51207168\"]\n  12 -> 17 [size =\"51207168\"]\n  12 -> 19 [size =\"51207168\"]\n  13 [size=\"58344107\", alpha=\"0.17\", expect_size=\"17503232\"] \n  13 -> 16 [size =\"17503232\"]\n  13 -> 17 [size =\"17503232\"]\n  13 -> 18 [size =\"17503232\"]\n  13 -> 19 [size =\"17503232\"]\n  14 [size=\"110308693\", alpha=\"0.15\", expect_size=\"33092608\"] \n  14 -> 17 [size =\"33092608\"]\n  15 [size=\"32204800\", alpha=\"0.12\", expect_size=\"9661440\"] \n  15 -> 16 [size =\"9661440\"]\n  15 -> 18 [size =\"9661440\"]\n  15 -> 19 [size =\"9661440\"]\n  16 [size=\"95378773\", alpha=\"0.11\", expect_size=\"28613632\"] \n  17 [size=\"139489280\", alpha=\"0.09\", expect_size=\"41846784\"] \n  17 -> 20 [size =\"41846784\"]\n  18 [size=\"23579307\", alpha=\"0.15\", expect_size=\"7073792\"] \n  18 -> 20 [size =\"7073792\"]\n  19 [size=\"74031787\", alpha=\"0.01\", expect_size=\"22209536\"] \n  20 [size=\"115036160\", alpha=\"0.05\", expect_size=\"34510848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100669440\", alpha=\"0.02\", expect_size=\"40267776\"] \n  1 -> 6 [size =\"40267776\"]\n  1 -> 9 [size =\"40267776\"]\n  1 -> 12 [size =\"40267776\"]\n  1 -> 14 [size =\"40267776\"]\n  1 -> 15 [size =\"40267776\"]\n  2 [size=\"83207680\", alpha=\"0.03\", expect_size=\"33283072\"] \n  2 -> 7 [size =\"33283072\"]\n  2 -> 8 [size =\"33283072\"]\n  2 -> 9 [size =\"33283072\"]\n  2 -> 11 [size =\"33283072\"]\n  2 -> 16 [size =\"33283072\"]\n  3 [size=\"85795840\", alpha=\"0.15\", expect_size=\"34318336\"] \n  3 -> 13 [size =\"34318336\"]\n  3 -> 14 [size =\"34318336\"]\n  4 [size=\"77550080\", alpha=\"0.06\", expect_size=\"31020032\"] \n  4 -> 10 [size =\"31020032\"]\n  4 -> 12 [size =\"31020032\"]\n  5 [size=\"121653760\", alpha=\"0.12\", expect_size=\"48661504\"] \n  5 -> 7 [size =\"48661504\"]\n  5 -> 9 [size =\"48661504\"]\n  5 -> 10 [size =\"48661504\"]\n  6 [size=\"124561920\", alpha=\"0.17\", expect_size=\"49824768\"] \n  7 [size=\"14000640\", alpha=\"0.00\", expect_size=\"5600256\"] \n  7 -> 17 [size =\"5600256\"]\n  8 [size=\"91015680\", alpha=\"0.11\", expect_size=\"36406272\"] \n  8 -> 20 [size =\"36406272\"]\n  9 [size=\"52833280\", alpha=\"0.14\", expect_size=\"21133312\"] \n  10 [size=\"92385280\", alpha=\"0.13\", expect_size=\"36954112\"] \n  10 -> 18 [size =\"36954112\"]\n  11 [size=\"60628480\", alpha=\"0.19\", expect_size=\"24251392\"] \n  11 -> 19 [size =\"24251392\"]\n  12 [size=\"74897920\", alpha=\"0.17\", expect_size=\"29959168\"] \n  13 [size=\"91558400\", alpha=\"0.02\", expect_size=\"36623360\"] \n  14 [size=\"63441920\", alpha=\"0.10\", expect_size=\"25376768\"] \n  14 -> 19 [size =\"25376768\"]\n  15 [size=\"97162240\", alpha=\"0.10\", expect_size=\"38864896\"] \n  15 -> 19 [size =\"38864896\"]\n  16 [size=\"49564160\", alpha=\"0.17\", expect_size=\"19825664\"] \n  17 [size=\"31308800\", alpha=\"0.00\", expect_size=\"12523520\"] \n  18 [size=\"33559040\", alpha=\"0.06\", expect_size=\"13423616\"] \n  19 [size=\"96857600\", alpha=\"0.13\", expect_size=\"38743040\"] \n  20 [size=\"64112640\", alpha=\"0.05\", expect_size=\"25645056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70280533\", alpha=\"0.13\", expect_size=\"21084160\"] \n  1 -> 20 [size =\"21084160\"]\n  2 [size=\"105861120\", alpha=\"0.20\", expect_size=\"31758336\"] \n  2 -> 20 [size =\"31758336\"]\n  3 [size=\"56975360\", alpha=\"0.16\", expect_size=\"17092608\"] \n  3 -> 20 [size =\"17092608\"]\n  4 [size=\"30655147\", alpha=\"0.20\", expect_size=\"9196544\"] \n  4 -> 20 [size =\"9196544\"]\n  5 [size=\"59409067\", alpha=\"0.07\", expect_size=\"17822720\"] \n  5 -> 20 [size =\"17822720\"]\n  6 [size=\"36590933\", alpha=\"0.13\", expect_size=\"10977280\"] \n  7 [size=\"172421120\", alpha=\"0.02\", expect_size=\"51726336\"] \n  8 [size=\"57531733\", alpha=\"0.15\", expect_size=\"17259520\"] \n  9 [size=\"166458027\", alpha=\"0.01\", expect_size=\"49937408\"] \n  10 [size=\"149343573\", alpha=\"0.19\", expect_size=\"44803072\"] \n  11 [size=\"109312000\", alpha=\"0.17\", expect_size=\"32793600\"] \n  12 [size=\"53265067\", alpha=\"0.03\", expect_size=\"15979520\"] \n  13 [size=\"51991893\", alpha=\"0.09\", expect_size=\"15597568\"] \n  13 -> 20 [size =\"15597568\"]\n  14 [size=\"21384533\", alpha=\"0.16\", expect_size=\"6415360\"] \n  15 [size=\"20637013\", alpha=\"0.02\", expect_size=\"6191104\"] \n  16 [size=\"73966933\", alpha=\"0.19\", expect_size=\"22190080\"] \n  17 [size=\"173479253\", alpha=\"0.01\", expect_size=\"52043776\"] \n  17 -> 20 [size =\"52043776\"]\n  18 [size=\"29381973\", alpha=\"0.14\", expect_size=\"8814592\"] \n  19 [size=\"144616107\", alpha=\"0.08\", expect_size=\"43384832\"] \n  19 -> 20 [size =\"43384832\"]\n  20 [size=\"150712320\", alpha=\"0.16\", expect_size=\"45213696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74493440\", alpha=\"0.10\", expect_size=\"29797376\"] \n  1 -> 8 [size =\"29797376\"]\n  1 -> 9 [size =\"29797376\"]\n  1 -> 10 [size =\"29797376\"]\n  1 -> 12 [size =\"29797376\"]\n  2 [size=\"17323520\", alpha=\"0.17\", expect_size=\"6929408\"] \n  2 -> 7 [size =\"6929408\"]\n  2 -> 11 [size =\"6929408\"]\n  3 [size=\"125414400\", alpha=\"0.08\", expect_size=\"50165760\"] \n  3 -> 9 [size =\"50165760\"]\n  3 -> 13 [size =\"50165760\"]\n  3 -> 14 [size =\"50165760\"]\n  4 [size=\"89594880\", alpha=\"0.05\", expect_size=\"35837952\"] \n  4 -> 9 [size =\"35837952\"]\n  4 -> 11 [size =\"35837952\"]\n  4 -> 12 [size =\"35837952\"]\n  4 -> 13 [size =\"35837952\"]\n  5 [size=\"43215360\", alpha=\"0.03\", expect_size=\"17286144\"] \n  5 -> 9 [size =\"17286144\"]\n  5 -> 11 [size =\"17286144\"]\n  5 -> 12 [size =\"17286144\"]\n  6 [size=\"38346240\", alpha=\"0.13\", expect_size=\"15338496\"] \n  6 -> 11 [size =\"15338496\"]\n  6 -> 12 [size =\"15338496\"]\n  6 -> 14 [size =\"15338496\"]\n  7 [size=\"98086400\", alpha=\"0.20\", expect_size=\"39234560\"] \n  7 -> 16 [size =\"39234560\"]\n  7 -> 19 [size =\"39234560\"]\n  8 [size=\"21857280\", alpha=\"0.07\", expect_size=\"8742912\"] \n  8 -> 15 [size =\"8742912\"]\n  8 -> 16 [size =\"8742912\"]\n  8 -> 20 [size =\"8742912\"]\n  9 [size=\"26478080\", alpha=\"0.09\", expect_size=\"10591232\"] \n  9 -> 17 [size =\"10591232\"]\n  10 [size=\"28403200\", alpha=\"0.01\", expect_size=\"11361280\"] \n  10 -> 17 [size =\"11361280\"]\n  10 -> 19 [size =\"11361280\"]\n  11 [size=\"80291840\", alpha=\"0.01\", expect_size=\"32116736\"] \n  11 -> 15 [size =\"32116736\"]\n  11 -> 20 [size =\"32116736\"]\n  12 [size=\"21575680\", alpha=\"0.13\", expect_size=\"8630272\"] \n  12 -> 15 [size =\"8630272\"]\n  12 -> 18 [size =\"8630272\"]\n  12 -> 19 [size =\"8630272\"]\n  13 [size=\"123095040\", alpha=\"0.19\", expect_size=\"49238016\"] \n  13 -> 17 [size =\"49238016\"]\n  13 -> 19 [size =\"49238016\"]\n  14 [size=\"53012480\", alpha=\"0.01\", expect_size=\"21204992\"] \n  14 -> 20 [size =\"21204992\"]\n  15 [size=\"82260480\", alpha=\"0.15\", expect_size=\"32904192\"] \n  16 [size=\"99719680\", alpha=\"0.14\", expect_size=\"39887872\"] \n  17 [size=\"55787520\", alpha=\"0.14\", expect_size=\"22315008\"] \n  18 [size=\"55137280\", alpha=\"0.18\", expect_size=\"22054912\"] \n  19 [size=\"98096640\", alpha=\"0.12\", expect_size=\"39238656\"] \n  20 [size=\"34790400\", alpha=\"0.09\", expect_size=\"13916160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151552000\", alpha=\"0.00\", expect_size=\"45465600\"] \n  1 -> 2 [size =\"45465600\"]\n  2 [size=\"50077013\", alpha=\"0.20\", expect_size=\"15023104\"] \n  2 -> 3 [size =\"15023104\"]\n  3 [size=\"90426027\", alpha=\"0.13\", expect_size=\"27127808\"] \n  3 -> 4 [size =\"27127808\"]\n  4 [size=\"33846613\", alpha=\"0.07\", expect_size=\"10153984\"] \n  4 -> 5 [size =\"10153984\"]\n  5 [size=\"65716907\", alpha=\"0.12\", expect_size=\"19715072\"] \n  5 -> 6 [size =\"19715072\"]\n  6 [size=\"121122133\", alpha=\"0.05\", expect_size=\"36336640\"] \n  6 -> 7 [size =\"36336640\"]\n  7 [size=\"126225067\", alpha=\"0.11\", expect_size=\"37867520\"] \n  7 -> 8 [size =\"37867520\"]\n  8 [size=\"34877440\", alpha=\"0.04\", expect_size=\"10463232\"] \n  8 -> 9 [size =\"10463232\"]\n  9 [size=\"53230933\", alpha=\"0.11\", expect_size=\"15969280\"] \n  9 -> 10 [size =\"15969280\"]\n  10 [size=\"56135680\", alpha=\"0.04\", expect_size=\"16840704\"] \n  10 -> 11 [size =\"16840704\"]\n  11 [size=\"67911680\", alpha=\"0.09\", expect_size=\"20373504\"] \n  11 -> 12 [size =\"20373504\"]\n  12 [size=\"70679893\", alpha=\"0.06\", expect_size=\"21203968\"] \n  12 -> 13 [size =\"21203968\"]\n  13 [size=\"68164267\", alpha=\"0.18\", expect_size=\"20449280\"] \n  13 -> 14 [size =\"20449280\"]\n  14 [size=\"170130773\", alpha=\"0.03\", expect_size=\"51039232\"] \n  14 -> 15 [size =\"51039232\"]\n  15 [size=\"70679893\", alpha=\"0.09\", expect_size=\"21203968\"] \n  15 -> 16 [size =\"21203968\"]\n  16 [size=\"163211947\", alpha=\"0.18\", expect_size=\"48963584\"] \n  16 -> 17 [size =\"48963584\"]\n  17 [size=\"42601813\", alpha=\"0.16\", expect_size=\"12780544\"] \n  17 -> 18 [size =\"12780544\"]\n  18 [size=\"126074880\", alpha=\"0.14\", expect_size=\"37822464\"] \n  18 -> 19 [size =\"37822464\"]\n  19 [size=\"156081493\", alpha=\"0.15\", expect_size=\"46824448\"] \n  19 -> 20 [size =\"46824448\"]\n  20 [size=\"83858773\", alpha=\"0.02\", expect_size=\"25157632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51660800\", alpha=\"0.07\", expect_size=\"15498240\"] \n  1 -> 11 [size =\"15498240\"]\n  2 [size=\"114834773\", alpha=\"0.09\", expect_size=\"34450432\"] \n  2 -> 8 [size =\"34450432\"]\n  2 -> 10 [size =\"34450432\"]\n  2 -> 11 [size =\"34450432\"]\n  3 [size=\"164389547\", alpha=\"0.19\", expect_size=\"49316864\"] \n  4 [size=\"130010453\", alpha=\"0.05\", expect_size=\"39003136\"] \n  4 -> 9 [size =\"39003136\"]\n  5 [size=\"76642987\", alpha=\"0.11\", expect_size=\"22992896\"] \n  5 -> 9 [size =\"22992896\"]\n  6 [size=\"79162027\", alpha=\"0.17\", expect_size=\"23748608\"] \n  6 -> 9 [size =\"23748608\"]\n  6 -> 10 [size =\"23748608\"]\n  7 [size=\"82899627\", alpha=\"0.06\", expect_size=\"24869888\"] \n  7 -> 9 [size =\"24869888\"]\n  8 [size=\"164423680\", alpha=\"0.09\", expect_size=\"49327104\"] \n  8 -> 12 [size =\"49327104\"]\n  9 [size=\"68396373\", alpha=\"0.00\", expect_size=\"20518912\"] \n  9 -> 13 [size =\"20518912\"]\n  9 -> 14 [size =\"20518912\"]\n  10 [size=\"136775680\", alpha=\"0.02\", expect_size=\"41032704\"] \n  10 -> 13 [size =\"41032704\"]\n  10 -> 15 [size =\"41032704\"]\n  11 [size=\"35973120\", alpha=\"0.15\", expect_size=\"10791936\"] \n  11 -> 15 [size =\"10791936\"]\n  12 [size=\"93385387\", alpha=\"0.05\", expect_size=\"28015616\"] \n  12 -> 16 [size =\"28015616\"]\n  12 -> 18 [size =\"28015616\"]\n  13 [size=\"166464853\", alpha=\"0.02\", expect_size=\"49939456\"] \n  13 -> 18 [size =\"49939456\"]\n  13 -> 19 [size =\"49939456\"]\n  13 -> 20 [size =\"49939456\"]\n  14 [size=\"160194560\", alpha=\"0.05\", expect_size=\"48058368\"] \n  14 -> 19 [size =\"48058368\"]\n  15 [size=\"44793173\", alpha=\"0.11\", expect_size=\"13437952\"] \n  15 -> 17 [size =\"13437952\"]\n  15 -> 20 [size =\"13437952\"]\n  16 [size=\"127808853\", alpha=\"0.11\", expect_size=\"38342656\"] \n  17 [size=\"106738347\", alpha=\"0.10\", expect_size=\"32021504\"] \n  18 [size=\"157644800\", alpha=\"0.17\", expect_size=\"47293440\"] \n  19 [size=\"71584427\", alpha=\"0.02\", expect_size=\"21475328\"] \n  20 [size=\"73830400\", alpha=\"0.07\", expect_size=\"22149120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21569536\", alpha=\"0.19\", expect_size=\"10784768\"] \n  1 -> 3 [size =\"10784768\"]\n  2 [size=\"20584448\", alpha=\"0.18\", expect_size=\"10292224\"] \n  3 [size=\"77258752\", alpha=\"0.11\", expect_size=\"38629376\"] \n  3 -> 4 [size =\"38629376\"]\n  4 [size=\"62896128\", alpha=\"0.18\", expect_size=\"31448064\"] \n  4 -> 5 [size =\"31448064\"]\n  4 -> 6 [size =\"31448064\"]\n  5 [size=\"10881024\", alpha=\"0.02\", expect_size=\"5440512\"] \n  5 -> 7 [size =\"5440512\"]\n  5 -> 8 [size =\"5440512\"]\n  6 [size=\"73138176\", alpha=\"0.12\", expect_size=\"36569088\"] \n  7 [size=\"98330624\", alpha=\"0.09\", expect_size=\"49165312\"] \n  8 [size=\"53157888\", alpha=\"0.08\", expect_size=\"26578944\"] \n  8 -> 9 [size =\"26578944\"]\n  9 [size=\"100950016\", alpha=\"0.12\", expect_size=\"50475008\"] \n  9 -> 10 [size =\"50475008\"]\n  9 -> 11 [size =\"50475008\"]\n  10 [size=\"50495488\", alpha=\"0.05\", expect_size=\"25247744\"] \n  10 -> 13 [size =\"25247744\"]\n  11 [size=\"85821440\", alpha=\"0.18\", expect_size=\"42910720\"] \n  11 -> 12 [size =\"42910720\"]\n  11 -> 13 [size =\"42910720\"]\n  12 [size=\"78764032\", alpha=\"0.00\", expect_size=\"39382016\"] \n  12 -> 14 [size =\"39382016\"]\n  13 [size=\"67696640\", alpha=\"0.06\", expect_size=\"33848320\"] \n  13 -> 14 [size =\"33848320\"]\n  14 [size=\"23361536\", alpha=\"0.16\", expect_size=\"11680768\"] \n  14 -> 15 [size =\"11680768\"]\n  15 [size=\"11927552\", alpha=\"0.07\", expect_size=\"5963776\"] \n  15 -> 16 [size =\"5963776\"]\n  16 [size=\"22198272\", alpha=\"0.14\", expect_size=\"11099136\"] \n  16 -> 17 [size =\"11099136\"]\n  17 [size=\"80652288\", alpha=\"0.11\", expect_size=\"40326144\"] \n  17 -> 18 [size =\"40326144\"]\n  17 -> 19 [size =\"40326144\"]\n  18 [size=\"27754496\", alpha=\"0.14\", expect_size=\"13877248\"] \n  18 -> 20 [size =\"13877248\"]\n  19 [size=\"64368640\", alpha=\"0.05\", expect_size=\"32184320\"] \n  19 -> 20 [size =\"32184320\"]\n  20 [size=\"27269120\", alpha=\"0.04\", expect_size=\"13634560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66322432\", alpha=\"0.08\", expect_size=\"33161216\"] \n  1 -> 18 [size =\"33161216\"]\n  2 [size=\"82616320\", alpha=\"0.12\", expect_size=\"41308160\"] \n  2 -> 20 [size =\"41308160\"]\n  3 [size=\"16484352\", alpha=\"0.10\", expect_size=\"8242176\"] \n  3 -> 18 [size =\"8242176\"]\n  4 [size=\"73678848\", alpha=\"0.20\", expect_size=\"36839424\"] \n  4 -> 18 [size =\"36839424\"]\n  5 [size=\"68890624\", alpha=\"0.06\", expect_size=\"34445312\"] \n  5 -> 18 [size =\"34445312\"]\n  6 [size=\"25282560\", alpha=\"0.15\", expect_size=\"12641280\"] \n  6 -> 18 [size =\"12641280\"]\n  7 [size=\"46067712\", alpha=\"0.19\", expect_size=\"23033856\"] \n  7 -> 18 [size =\"23033856\"]\n  7 -> 19 [size =\"23033856\"]\n  8 [size=\"88479744\", alpha=\"0.07\", expect_size=\"44239872\"] \n  8 -> 19 [size =\"44239872\"]\n  9 [size=\"100835328\", alpha=\"0.17\", expect_size=\"50417664\"] \n  10 [size=\"88893440\", alpha=\"0.11\", expect_size=\"44446720\"] \n  10 -> 18 [size =\"44446720\"]\n  10 -> 20 [size =\"44446720\"]\n  11 [size=\"51118080\", alpha=\"0.11\", expect_size=\"25559040\"] \n  11 -> 18 [size =\"25559040\"]\n  12 [size=\"88604672\", alpha=\"0.04\", expect_size=\"44302336\"] \n  13 [size=\"51402752\", alpha=\"0.02\", expect_size=\"25701376\"] \n  13 -> 18 [size =\"25701376\"]\n  14 [size=\"98160640\", alpha=\"0.02\", expect_size=\"49080320\"] \n  15 [size=\"97335296\", alpha=\"0.14\", expect_size=\"48667648\"] \n  15 -> 19 [size =\"48667648\"]\n  16 [size=\"31707136\", alpha=\"0.14\", expect_size=\"15853568\"] \n  17 [size=\"100214784\", alpha=\"0.02\", expect_size=\"50107392\"] \n  17 -> 18 [size =\"50107392\"]\n  18 [size=\"96399360\", alpha=\"0.12\", expect_size=\"48199680\"] \n  19 [size=\"36593664\", alpha=\"0.02\", expect_size=\"18296832\"] \n  20 [size=\"20449280\", alpha=\"0.15\", expect_size=\"10224640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125986133\", alpha=\"0.15\", expect_size=\"37795840\"] \n  2 [size=\"48551253\", alpha=\"0.04\", expect_size=\"14565376\"] \n  2 -> 19 [size =\"14565376\"]\n  3 [size=\"43362987\", alpha=\"0.00\", expect_size=\"13008896\"] \n  3 -> 16 [size =\"13008896\"]\n  3 -> 19 [size =\"13008896\"]\n  4 [size=\"171868160\", alpha=\"0.02\", expect_size=\"51560448\"] \n  5 [size=\"31330987\", alpha=\"0.03\", expect_size=\"9399296\"] \n  5 -> 17 [size =\"9399296\"]\n  5 -> 20 [size =\"9399296\"]\n  6 [size=\"44018347\", alpha=\"0.01\", expect_size=\"13205504\"] \n  6 -> 18 [size =\"13205504\"]\n  6 -> 19 [size =\"13205504\"]\n  6 -> 20 [size =\"13205504\"]\n  7 [size=\"96450560\", alpha=\"0.17\", expect_size=\"28935168\"] \n  7 -> 18 [size =\"28935168\"]\n  7 -> 20 [size =\"28935168\"]\n  7 -> 20 [size =\"28935168\"]\n  8 [size=\"103263573\", alpha=\"0.16\", expect_size=\"30979072\"] \n  8 -> 16 [size =\"30979072\"]\n  9 [size=\"72420693\", alpha=\"0.20\", expect_size=\"21726208\"] \n  9 -> 18 [size =\"21726208\"]\n  10 [size=\"84452693\", alpha=\"0.19\", expect_size=\"25335808\"] \n  10 -> 20 [size =\"25335808\"]\n  11 [size=\"71837013\", alpha=\"0.01\", expect_size=\"21551104\"] \n  11 -> 16 [size =\"21551104\"]\n  12 [size=\"33781760\", alpha=\"0.19\", expect_size=\"10134528\"] \n  13 [size=\"63235413\", alpha=\"0.20\", expect_size=\"18970624\"] \n  14 [size=\"63890773\", alpha=\"0.15\", expect_size=\"19167232\"] \n  15 [size=\"76888747\", alpha=\"0.15\", expect_size=\"23066624\"] \n  16 [size=\"101003947\", alpha=\"0.13\", expect_size=\"30301184\"] \n  17 [size=\"106096640\", alpha=\"0.03\", expect_size=\"31828992\"] \n  18 [size=\"81657173\", alpha=\"0.12\", expect_size=\"24497152\"] \n  19 [size=\"50254507\", alpha=\"0.08\", expect_size=\"15076352\"] \n  20 [size=\"47841280\", alpha=\"0.05\", expect_size=\"14352384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30027093\", alpha=\"0.11\", expect_size=\"9008128\"] \n  1 -> 3 [size =\"9008128\"]\n  2 [size=\"50107733\", alpha=\"0.17\", expect_size=\"15032320\"] \n  3 [size=\"42489173\", alpha=\"0.05\", expect_size=\"12746752\"] \n  3 -> 4 [size =\"12746752\"]\n  3 -> 5 [size =\"12746752\"]\n  4 [size=\"65017173\", alpha=\"0.06\", expect_size=\"19505152\"] \n  5 [size=\"62515200\", alpha=\"0.14\", expect_size=\"18754560\"] \n  5 -> 6 [size =\"18754560\"]\n  6 [size=\"107834027\", alpha=\"0.07\", expect_size=\"32350208\"] \n  6 -> 7 [size =\"32350208\"]\n  7 [size=\"147176107\", alpha=\"0.12\", expect_size=\"44152832\"] \n  7 -> 8 [size =\"44152832\"]\n  8 [size=\"167799467\", alpha=\"0.05\", expect_size=\"50339840\"] \n  8 -> 9 [size =\"50339840\"]\n  8 -> 10 [size =\"50339840\"]\n  9 [size=\"55080960\", alpha=\"0.19\", expect_size=\"16524288\"] \n  9 -> 11 [size =\"16524288\"]\n  10 [size=\"138499413\", alpha=\"0.11\", expect_size=\"41549824\"] \n  10 -> 11 [size =\"41549824\"]\n  11 [size=\"90511360\", alpha=\"0.09\", expect_size=\"27153408\"] \n  11 -> 12 [size =\"27153408\"]\n  12 [size=\"173400747\", alpha=\"0.15\", expect_size=\"52020224\"] \n  12 -> 13 [size =\"52020224\"]\n  12 -> 14 [size =\"52020224\"]\n  13 [size=\"152736427\", alpha=\"0.08\", expect_size=\"45820928\"] \n  14 [size=\"37181440\", alpha=\"0.16\", expect_size=\"11154432\"] \n  14 -> 15 [size =\"11154432\"]\n  14 -> 16 [size =\"11154432\"]\n  15 [size=\"80745813\", alpha=\"0.11\", expect_size=\"24223744\"] \n  15 -> 17 [size =\"24223744\"]\n  16 [size=\"32180907\", alpha=\"0.13\", expect_size=\"9654272\"] \n  17 [size=\"88480427\", alpha=\"0.10\", expect_size=\"26544128\"] \n  17 -> 18 [size =\"26544128\"]\n  17 -> 19 [size =\"26544128\"]\n  18 [size=\"26473813\", alpha=\"0.11\", expect_size=\"7942144\"] \n  18 -> 20 [size =\"7942144\"]\n  19 [size=\"62501547\", alpha=\"0.18\", expect_size=\"18750464\"] \n  20 [size=\"57231360\", alpha=\"0.10\", expect_size=\"17169408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79736832\", alpha=\"0.11\", expect_size=\"39868416\"] \n  1 -> 13 [size =\"39868416\"]\n  1 -> 14 [size =\"39868416\"]\n  1 -> 17 [size =\"39868416\"]\n  2 [size=\"60092416\", alpha=\"0.07\", expect_size=\"30046208\"] \n  2 -> 13 [size =\"30046208\"]\n  2 -> 17 [size =\"30046208\"]\n  2 -> 20 [size =\"30046208\"]\n  3 [size=\"91478016\", alpha=\"0.10\", expect_size=\"45739008\"] \n  3 -> 14 [size =\"45739008\"]\n  3 -> 18 [size =\"45739008\"]\n  4 [size=\"32741376\", alpha=\"0.01\", expect_size=\"16370688\"] \n  4 -> 18 [size =\"16370688\"]\n  5 [size=\"63092736\", alpha=\"0.01\", expect_size=\"31546368\"] \n  5 -> 16 [size =\"31546368\"]\n  5 -> 18 [size =\"31546368\"]\n  6 [size=\"47509504\", alpha=\"0.16\", expect_size=\"23754752\"] \n  6 -> 13 [size =\"23754752\"]\n  6 -> 15 [size =\"23754752\"]\n  6 -> 17 [size =\"23754752\"]\n  6 -> 20 [size =\"23754752\"]\n  7 [size=\"27977728\", alpha=\"0.14\", expect_size=\"13988864\"] \n  7 -> 13 [size =\"13988864\"]\n  7 -> 20 [size =\"13988864\"]\n  8 [size=\"68354048\", alpha=\"0.01\", expect_size=\"34177024\"] \n  8 -> 14 [size =\"34177024\"]\n  9 [size=\"95035392\", alpha=\"0.11\", expect_size=\"47517696\"] \n  9 -> 15 [size =\"47517696\"]\n  9 -> 16 [size =\"47517696\"]\n  9 -> 17 [size =\"47517696\"]\n  9 -> 18 [size =\"47517696\"]\n  10 [size=\"70815744\", alpha=\"0.13\", expect_size=\"35407872\"] \n  10 -> 14 [size =\"35407872\"]\n  10 -> 17 [size =\"35407872\"]\n  10 -> 20 [size =\"35407872\"]\n  11 [size=\"82282496\", alpha=\"0.10\", expect_size=\"41141248\"] \n  11 -> 13 [size =\"41141248\"]\n  11 -> 14 [size =\"41141248\"]\n  11 -> 15 [size =\"41141248\"]\n  11 -> 17 [size =\"41141248\"]\n  11 -> 18 [size =\"41141248\"]\n  11 -> 20 [size =\"41141248\"]\n  12 [size=\"37724160\", alpha=\"0.06\", expect_size=\"18862080\"] \n  12 -> 13 [size =\"18862080\"]\n  12 -> 15 [size =\"18862080\"]\n  12 -> 17 [size =\"18862080\"]\n  12 -> 17 [size =\"18862080\"]\n  12 -> 19 [size =\"18862080\"]\n  12 -> 20 [size =\"18862080\"]\n  13 [size=\"70273024\", alpha=\"0.04\", expect_size=\"35136512\"] \n  14 [size=\"24459264\", alpha=\"0.15\", expect_size=\"12229632\"] \n  15 [size=\"27928576\", alpha=\"0.17\", expect_size=\"13964288\"] \n  16 [size=\"33566720\", alpha=\"0.02\", expect_size=\"16783360\"] \n  17 [size=\"14465024\", alpha=\"0.07\", expect_size=\"7232512\"] \n  18 [size=\"78188544\", alpha=\"0.18\", expect_size=\"39094272\"] \n  19 [size=\"83845120\", alpha=\"0.09\", expect_size=\"41922560\"] \n  20 [size=\"42686464\", alpha=\"0.14\", expect_size=\"21343232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119575040\", alpha=\"0.20\", expect_size=\"47830016\"] \n  1 -> 14 [size =\"47830016\"]\n  1 -> 20 [size =\"47830016\"]\n  2 [size=\"22942720\", alpha=\"0.07\", expect_size=\"9177088\"] \n  2 -> 14 [size =\"9177088\"]\n  2 -> 15 [size =\"9177088\"]\n  2 -> 16 [size =\"9177088\"]\n  2 -> 17 [size =\"9177088\"]\n  3 [size=\"118051840\", alpha=\"0.01\", expect_size=\"47220736\"] \n  3 -> 14 [size =\"47220736\"]\n  3 -> 15 [size =\"47220736\"]\n  3 -> 17 [size =\"47220736\"]\n  3 -> 19 [size =\"47220736\"]\n  3 -> 20 [size =\"47220736\"]\n  4 [size=\"87772160\", alpha=\"0.16\", expect_size=\"35108864\"] \n  4 -> 17 [size =\"35108864\"]\n  4 -> 19 [size =\"35108864\"]\n  5 [size=\"20078080\", alpha=\"0.18\", expect_size=\"8031232\"] \n  5 -> 14 [size =\"8031232\"]\n  5 -> 17 [size =\"8031232\"]\n  5 -> 19 [size =\"8031232\"]\n  6 [size=\"40399360\", alpha=\"0.14\", expect_size=\"16159744\"] \n  6 -> 16 [size =\"16159744\"]\n  6 -> 17 [size =\"16159744\"]\n  6 -> 19 [size =\"16159744\"]\n  7 [size=\"107274240\", alpha=\"0.13\", expect_size=\"42909696\"] \n  7 -> 20 [size =\"42909696\"]\n  8 [size=\"76567040\", alpha=\"0.05\", expect_size=\"30626816\"] \n  8 -> 15 [size =\"30626816\"]\n  8 -> 16 [size =\"30626816\"]\n  9 [size=\"36469760\", alpha=\"0.07\", expect_size=\"14587904\"] \n  9 -> 13 [size =\"14587904\"]\n  9 -> 15 [size =\"14587904\"]\n  10 [size=\"35840000\", alpha=\"0.15\", expect_size=\"14336000\"] \n  10 -> 14 [size =\"14336000\"]\n  11 [size=\"103585280\", alpha=\"0.03\", expect_size=\"41434112\"] \n  11 -> 14 [size =\"41434112\"]\n  11 -> 15 [size =\"41434112\"]\n  11 -> 16 [size =\"41434112\"]\n  11 -> 18 [size =\"41434112\"]\n  12 [size=\"103201280\", alpha=\"0.19\", expect_size=\"41280512\"] \n  12 -> 17 [size =\"41280512\"]\n  12 -> 20 [size =\"41280512\"]\n  13 [size=\"28925440\", alpha=\"0.07\", expect_size=\"11570176\"] \n  14 [size=\"34301440\", alpha=\"0.05\", expect_size=\"13720576\"] \n  15 [size=\"127953920\", alpha=\"0.02\", expect_size=\"51181568\"] \n  16 [size=\"114344960\", alpha=\"0.05\", expect_size=\"45737984\"] \n  17 [size=\"77245440\", alpha=\"0.20\", expect_size=\"30898176\"] \n  18 [size=\"37450240\", alpha=\"0.17\", expect_size=\"14980096\"] \n  19 [size=\"64053760\", alpha=\"0.09\", expect_size=\"25621504\"] \n  20 [size=\"107002880\", alpha=\"0.06\", expect_size=\"42801152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169082880\", alpha=\"0.12\", expect_size=\"50724864\"] \n  1 -> 5 [size =\"50724864\"]\n  1 -> 6 [size =\"50724864\"]\n  2 [size=\"106926080\", alpha=\"0.14\", expect_size=\"32077824\"] \n  2 -> 5 [size =\"32077824\"]\n  2 -> 7 [size =\"32077824\"]\n  3 [size=\"159433387\", alpha=\"0.15\", expect_size=\"47830016\"] \n  4 [size=\"57436160\", alpha=\"0.11\", expect_size=\"17230848\"] \n  5 [size=\"20111360\", alpha=\"0.07\", expect_size=\"6033408\"] \n  5 -> 11 [size =\"6033408\"]\n  6 [size=\"108311893\", alpha=\"0.07\", expect_size=\"32493568\"] \n  6 -> 8 [size =\"32493568\"]\n  6 -> 10 [size =\"32493568\"]\n  7 [size=\"126849707\", alpha=\"0.11\", expect_size=\"38054912\"] \n  7 -> 8 [size =\"38054912\"]\n  7 -> 9 [size =\"38054912\"]\n  8 [size=\"27351040\", alpha=\"0.11\", expect_size=\"8205312\"] \n  8 -> 13 [size =\"8205312\"]\n  9 [size=\"121794560\", alpha=\"0.01\", expect_size=\"36538368\"] \n  9 -> 13 [size =\"36538368\"]\n  10 [size=\"126289920\", alpha=\"0.02\", expect_size=\"37886976\"] \n  10 -> 12 [size =\"37886976\"]\n  11 [size=\"58316800\", alpha=\"0.12\", expect_size=\"17495040\"] \n  12 [size=\"149026133\", alpha=\"0.01\", expect_size=\"44707840\"] \n  12 -> 14 [size =\"44707840\"]\n  12 -> 15 [size =\"44707840\"]\n  12 -> 17 [size =\"44707840\"]\n  13 [size=\"100369067\", alpha=\"0.12\", expect_size=\"30110720\"] \n  13 -> 16 [size =\"30110720\"]\n  14 [size=\"62242133\", alpha=\"0.08\", expect_size=\"18672640\"] \n  14 -> 18 [size =\"18672640\"]\n  15 [size=\"150200320\", alpha=\"0.07\", expect_size=\"45060096\"] \n  15 -> 18 [size =\"45060096\"]\n  15 -> 19 [size =\"45060096\"]\n  16 [size=\"47114240\", alpha=\"0.02\", expect_size=\"14134272\"] \n  17 [size=\"100048213\", alpha=\"0.05\", expect_size=\"30014464\"] \n  18 [size=\"25763840\", alpha=\"0.02\", expect_size=\"7729152\"] \n  18 -> 20 [size =\"7729152\"]\n  19 [size=\"114148693\", alpha=\"0.06\", expect_size=\"34244608\"] \n  20 [size=\"125603840\", alpha=\"0.09\", expect_size=\"37681152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42919253\", alpha=\"0.19\", expect_size=\"12875776\"] \n  1 -> 10 [size =\"12875776\"]\n  1 -> 12 [size =\"12875776\"]\n  1 -> 13 [size =\"12875776\"]\n  2 [size=\"61733547\", alpha=\"0.02\", expect_size=\"18520064\"] \n  2 -> 10 [size =\"18520064\"]\n  2 -> 12 [size =\"18520064\"]\n  2 -> 13 [size =\"18520064\"]\n  3 [size=\"133218987\", alpha=\"0.16\", expect_size=\"39965696\"] \n  3 -> 9 [size =\"39965696\"]\n  4 [size=\"93139627\", alpha=\"0.00\", expect_size=\"27941888\"] \n  4 -> 13 [size =\"27941888\"]\n  5 [size=\"121651200\", alpha=\"0.06\", expect_size=\"36495360\"] \n  5 -> 8 [size =\"36495360\"]\n  5 -> 9 [size =\"36495360\"]\n  5 -> 11 [size =\"36495360\"]\n  5 -> 12 [size =\"36495360\"]\n  5 -> 13 [size =\"36495360\"]\n  6 [size=\"163512320\", alpha=\"0.12\", expect_size=\"49053696\"] \n  6 -> 9 [size =\"49053696\"]\n  6 -> 11 [size =\"49053696\"]\n  6 -> 11 [size =\"49053696\"]\n  6 -> 12 [size =\"49053696\"]\n  7 [size=\"164188160\", alpha=\"0.10\", expect_size=\"49256448\"] \n  7 -> 11 [size =\"49256448\"]\n  7 -> 13 [size =\"49256448\"]\n  8 [size=\"60231680\", alpha=\"0.11\", expect_size=\"18069504\"] \n  8 -> 15 [size =\"18069504\"]\n  8 -> 16 [size =\"18069504\"]\n  9 [size=\"157556053\", alpha=\"0.19\", expect_size=\"47266816\"] \n  9 -> 14 [size =\"47266816\"]\n  9 -> 15 [size =\"47266816\"]\n  9 -> 16 [size =\"47266816\"]\n  9 -> 17 [size =\"47266816\"]\n  9 -> 20 [size =\"47266816\"]\n  10 [size=\"58518187\", alpha=\"0.03\", expect_size=\"17555456\"] \n  10 -> 14 [size =\"17555456\"]\n  10 -> 15 [size =\"17555456\"]\n  10 -> 16 [size =\"17555456\"]\n  10 -> 19 [size =\"17555456\"]\n  11 [size=\"154538667\", alpha=\"0.18\", expect_size=\"46361600\"] \n  11 -> 16 [size =\"46361600\"]\n  11 -> 17 [size =\"46361600\"]\n  12 [size=\"148821333\", alpha=\"0.09\", expect_size=\"44646400\"] \n  13 [size=\"165833387\", alpha=\"0.10\", expect_size=\"49750016\"] \n  13 -> 18 [size =\"49750016\"]\n  13 -> 20 [size =\"49750016\"]\n  14 [size=\"130706773\", alpha=\"0.00\", expect_size=\"39212032\"] \n  15 [size=\"134027947\", alpha=\"0.13\", expect_size=\"40208384\"] \n  16 [size=\"21326507\", alpha=\"0.09\", expect_size=\"6397952\"] \n  17 [size=\"112865280\", alpha=\"0.18\", expect_size=\"33859584\"] \n  18 [size=\"36720640\", alpha=\"0.01\", expect_size=\"11016192\"] \n  19 [size=\"120005973\", alpha=\"0.06\", expect_size=\"36001792\"] \n  20 [size=\"110434987\", alpha=\"0.16\", expect_size=\"33130496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115824640\", alpha=\"0.08\", expect_size=\"34747392\"] \n  1 -> 16 [size =\"34747392\"]\n  2 [size=\"107031893\", alpha=\"0.10\", expect_size=\"32109568\"] \n  2 -> 15 [size =\"32109568\"]\n  2 -> 18 [size =\"32109568\"]\n  2 -> 19 [size =\"32109568\"]\n  3 [size=\"39058773\", alpha=\"0.02\", expect_size=\"11717632\"] \n  3 -> 11 [size =\"11717632\"]\n  3 -> 12 [size =\"11717632\"]\n  3 -> 19 [size =\"11717632\"]\n  4 [size=\"31262720\", alpha=\"0.05\", expect_size=\"9378816\"] \n  4 -> 12 [size =\"9378816\"]\n  4 -> 13 [size =\"9378816\"]\n  4 -> 16 [size =\"9378816\"]\n  4 -> 18 [size =\"9378816\"]\n  4 -> 19 [size =\"9378816\"]\n  4 -> 20 [size =\"9378816\"]\n  5 [size=\"171683840\", alpha=\"0.00\", expect_size=\"51505152\"] \n  5 -> 18 [size =\"51505152\"]\n  5 -> 19 [size =\"51505152\"]\n  5 -> 20 [size =\"51505152\"]\n  6 [size=\"112745813\", alpha=\"0.13\", expect_size=\"33823744\"] \n  7 [size=\"165983573\", alpha=\"0.20\", expect_size=\"49795072\"] \n  7 -> 12 [size =\"49795072\"]\n  7 -> 15 [size =\"49795072\"]\n  7 -> 16 [size =\"49795072\"]\n  7 -> 20 [size =\"49795072\"]\n  8 [size=\"75837440\", alpha=\"0.01\", expect_size=\"22751232\"] \n  8 -> 13 [size =\"22751232\"]\n  8 -> 15 [size =\"22751232\"]\n  8 -> 16 [size =\"22751232\"]\n  8 -> 17 [size =\"22751232\"]\n  8 -> 18 [size =\"22751232\"]\n  9 [size=\"29559467\", alpha=\"0.14\", expect_size=\"8867840\"] \n  9 -> 12 [size =\"8867840\"]\n  9 -> 15 [size =\"8867840\"]\n  9 -> 16 [size =\"8867840\"]\n  9 -> 19 [size =\"8867840\"]\n  10 [size=\"18336427\", alpha=\"0.16\", expect_size=\"5500928\"] \n  10 -> 12 [size =\"5500928\"]\n  10 -> 13 [size =\"5500928\"]\n  10 -> 14 [size =\"5500928\"]\n  10 -> 15 [size =\"5500928\"]\n  10 -> 16 [size =\"5500928\"]\n  11 [size=\"142366720\", alpha=\"0.01\", expect_size=\"42710016\"] \n  12 [size=\"47807147\", alpha=\"0.13\", expect_size=\"14342144\"] \n  13 [size=\"129669120\", alpha=\"0.16\", expect_size=\"38900736\"] \n  14 [size=\"149265067\", alpha=\"0.16\", expect_size=\"44779520\"] \n  15 [size=\"31682560\", alpha=\"0.15\", expect_size=\"9504768\"] \n  16 [size=\"33303893\", alpha=\"0.03\", expect_size=\"9991168\"] \n  17 [size=\"132676267\", alpha=\"0.12\", expect_size=\"39802880\"] \n  18 [size=\"128907947\", alpha=\"0.11\", expect_size=\"38672384\"] \n  19 [size=\"132904960\", alpha=\"0.08\", expect_size=\"39871488\"] \n  20 [size=\"82688000\", alpha=\"0.05\", expect_size=\"24806400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80069973\", alpha=\"0.10\", expect_size=\"24020992\"] \n  1 -> 11 [size =\"24020992\"]\n  1 -> 13 [size =\"24020992\"]\n  1 -> 15 [size =\"24020992\"]\n  2 [size=\"143831040\", alpha=\"0.15\", expect_size=\"43149312\"] \n  2 -> 11 [size =\"43149312\"]\n  2 -> 13 [size =\"43149312\"]\n  2 -> 15 [size =\"43149312\"]\n  2 -> 17 [size =\"43149312\"]\n  3 [size=\"68229120\", alpha=\"0.08\", expect_size=\"20468736\"] \n  3 -> 11 [size =\"20468736\"]\n  3 -> 13 [size =\"20468736\"]\n  3 -> 14 [size =\"20468736\"]\n  3 -> 15 [size =\"20468736\"]\n  4 [size=\"62064640\", alpha=\"0.19\", expect_size=\"18619392\"] \n  4 -> 12 [size =\"18619392\"]\n  4 -> 13 [size =\"18619392\"]\n  4 -> 14 [size =\"18619392\"]\n  4 -> 15 [size =\"18619392\"]\n  5 [size=\"154641067\", alpha=\"0.02\", expect_size=\"46392320\"] \n  5 -> 12 [size =\"46392320\"]\n  5 -> 13 [size =\"46392320\"]\n  5 -> 14 [size =\"46392320\"]\n  5 -> 17 [size =\"46392320\"]\n  6 [size=\"60320427\", alpha=\"0.11\", expect_size=\"18096128\"] \n  6 -> 13 [size =\"18096128\"]\n  6 -> 14 [size =\"18096128\"]\n  6 -> 15 [size =\"18096128\"]\n  6 -> 16 [size =\"18096128\"]\n  7 [size=\"25739947\", alpha=\"0.02\", expect_size=\"7721984\"] \n  7 -> 13 [size =\"7721984\"]\n  7 -> 15 [size =\"7721984\"]\n  8 [size=\"153934507\", alpha=\"0.20\", expect_size=\"46180352\"] \n  8 -> 11 [size =\"46180352\"]\n  8 -> 12 [size =\"46180352\"]\n  8 -> 14 [size =\"46180352\"]\n  8 -> 15 [size =\"46180352\"]\n  9 [size=\"134744747\", alpha=\"0.12\", expect_size=\"40423424\"] \n  9 -> 11 [size =\"40423424\"]\n  9 -> 13 [size =\"40423424\"]\n  9 -> 15 [size =\"40423424\"]\n  9 -> 16 [size =\"40423424\"]\n  10 [size=\"105062400\", alpha=\"0.04\", expect_size=\"31518720\"] \n  10 -> 11 [size =\"31518720\"]\n  10 -> 13 [size =\"31518720\"]\n  10 -> 15 [size =\"31518720\"]\n  10 -> 17 [size =\"31518720\"]\n  10 -> 18 [size =\"31518720\"]\n  11 [size=\"61859840\", alpha=\"0.10\", expect_size=\"18557952\"] \n  12 [size=\"141257387\", alpha=\"0.12\", expect_size=\"42377216\"] \n  12 -> 20 [size =\"42377216\"]\n  13 [size=\"100495360\", alpha=\"0.14\", expect_size=\"30148608\"] \n  13 -> 19 [size =\"30148608\"]\n  13 -> 20 [size =\"30148608\"]\n  14 [size=\"163840000\", alpha=\"0.01\", expect_size=\"49152000\"] \n  14 -> 19 [size =\"49152000\"]\n  15 [size=\"156504747\", alpha=\"0.19\", expect_size=\"46951424\"] \n  15 -> 19 [size =\"46951424\"]\n  15 -> 20 [size =\"46951424\"]\n  16 [size=\"18425173\", alpha=\"0.08\", expect_size=\"5527552\"] \n  16 -> 19 [size =\"5527552\"]\n  17 [size=\"108796587\", alpha=\"0.15\", expect_size=\"32638976\"] \n  18 [size=\"123958613\", alpha=\"0.14\", expect_size=\"37187584\"] \n  18 -> 20 [size =\"37187584\"]\n  19 [size=\"120248320\", alpha=\"0.01\", expect_size=\"36074496\"] \n  20 [size=\"58839040\", alpha=\"0.04\", expect_size=\"17651712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35212800\", alpha=\"0.09\", expect_size=\"14085120\"] \n  1 -> 2 [size =\"14085120\"]\n  2 [size=\"43635200\", alpha=\"0.19\", expect_size=\"17454080\"] \n  2 -> 3 [size =\"17454080\"]\n  3 [size=\"24629760\", alpha=\"0.10\", expect_size=\"9851904\"] \n  3 -> 4 [size =\"9851904\"]\n  3 -> 5 [size =\"9851904\"]\n  4 [size=\"77265920\", alpha=\"0.11\", expect_size=\"30906368\"] \n  4 -> 7 [size =\"30906368\"]\n  5 [size=\"102353920\", alpha=\"0.14\", expect_size=\"40941568\"] \n  5 -> 6 [size =\"40941568\"]\n  6 [size=\"33937920\", alpha=\"0.18\", expect_size=\"13575168\"] \n  6 -> 8 [size =\"13575168\"]\n  7 [size=\"62937600\", alpha=\"0.17\", expect_size=\"25175040\"] \n  8 [size=\"76830720\", alpha=\"0.19\", expect_size=\"30732288\"] \n  8 -> 9 [size =\"30732288\"]\n  8 -> 10 [size =\"30732288\"]\n  9 [size=\"109754880\", alpha=\"0.03\", expect_size=\"43901952\"] \n  9 -> 11 [size =\"43901952\"]\n  10 [size=\"77370880\", alpha=\"0.05\", expect_size=\"30948352\"] \n  11 [size=\"127810560\", alpha=\"0.01\", expect_size=\"51124224\"] \n  11 -> 12 [size =\"51124224\"]\n  12 [size=\"64494080\", alpha=\"0.17\", expect_size=\"25797632\"] \n  12 -> 13 [size =\"25797632\"]\n  12 -> 14 [size =\"25797632\"]\n  13 [size=\"59850240\", alpha=\"0.15\", expect_size=\"23940096\"] \n  14 [size=\"116666880\", alpha=\"0.03\", expect_size=\"46666752\"] \n  14 -> 15 [size =\"46666752\"]\n  15 [size=\"64929280\", alpha=\"0.10\", expect_size=\"25971712\"] \n  15 -> 16 [size =\"25971712\"]\n  15 -> 17 [size =\"25971712\"]\n  16 [size=\"32238080\", alpha=\"0.20\", expect_size=\"12895232\"] \n  16 -> 18 [size =\"12895232\"]\n  17 [size=\"21409280\", alpha=\"0.19\", expect_size=\"8563712\"] \n  18 [size=\"121871360\", alpha=\"0.11\", expect_size=\"48748544\"] \n  18 -> 19 [size =\"48748544\"]\n  19 [size=\"115381760\", alpha=\"0.18\", expect_size=\"46152704\"] \n  19 -> 20 [size =\"46152704\"]\n  20 [size=\"14543360\", alpha=\"0.12\", expect_size=\"5817344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49647616\", alpha=\"0.13\", expect_size=\"24823808\"] \n  1 -> 14 [size =\"24823808\"]\n  1 -> 15 [size =\"24823808\"]\n  1 -> 19 [size =\"24823808\"]\n  1 -> 20 [size =\"24823808\"]\n  2 [size=\"64942080\", alpha=\"0.01\", expect_size=\"32471040\"] \n  2 -> 15 [size =\"32471040\"]\n  2 -> 20 [size =\"32471040\"]\n  3 [size=\"12722176\", alpha=\"0.09\", expect_size=\"6361088\"] \n  4 [size=\"19183616\", alpha=\"0.00\", expect_size=\"9591808\"] \n  4 -> 14 [size =\"9591808\"]\n  4 -> 15 [size =\"9591808\"]\n  5 [size=\"76105728\", alpha=\"0.04\", expect_size=\"38052864\"] \n  5 -> 14 [size =\"38052864\"]\n  5 -> 17 [size =\"38052864\"]\n  5 -> 18 [size =\"38052864\"]\n  5 -> 20 [size =\"38052864\"]\n  6 [size=\"19126272\", alpha=\"0.13\", expect_size=\"9563136\"] \n  6 -> 13 [size =\"9563136\"]\n  6 -> 16 [size =\"9563136\"]\n  6 -> 17 [size =\"9563136\"]\n  6 -> 20 [size =\"9563136\"]\n  7 [size=\"95963136\", alpha=\"0.18\", expect_size=\"47981568\"] \n  7 -> 15 [size =\"47981568\"]\n  7 -> 16 [size =\"47981568\"]\n  7 -> 17 [size =\"47981568\"]\n  7 -> 18 [size =\"47981568\"]\n  8 [size=\"56834048\", alpha=\"0.17\", expect_size=\"28417024\"] \n  8 -> 15 [size =\"28417024\"]\n  8 -> 17 [size =\"28417024\"]\n  8 -> 18 [size =\"28417024\"]\n  8 -> 20 [size =\"28417024\"]\n  9 [size=\"30459904\", alpha=\"0.07\", expect_size=\"15229952\"] \n  9 -> 16 [size =\"15229952\"]\n  9 -> 18 [size =\"15229952\"]\n  10 [size=\"27451392\", alpha=\"0.13\", expect_size=\"13725696\"] \n  10 -> 15 [size =\"13725696\"]\n  10 -> 16 [size =\"13725696\"]\n  10 -> 17 [size =\"13725696\"]\n  11 [size=\"11812864\", alpha=\"0.16\", expect_size=\"5906432\"] \n  11 -> 19 [size =\"5906432\"]\n  12 [size=\"73840640\", alpha=\"0.03\", expect_size=\"36920320\"] \n  12 -> 20 [size =\"36920320\"]\n  13 [size=\"78866432\", alpha=\"0.14\", expect_size=\"39433216\"] \n  14 [size=\"26867712\", alpha=\"0.06\", expect_size=\"13433856\"] \n  15 [size=\"28385280\", alpha=\"0.18\", expect_size=\"14192640\"] \n  16 [size=\"46268416\", alpha=\"0.18\", expect_size=\"23134208\"] \n  17 [size=\"12337152\", alpha=\"0.04\", expect_size=\"6168576\"] \n  18 [size=\"95350784\", alpha=\"0.19\", expect_size=\"47675392\"] \n  19 [size=\"79470592\", alpha=\"0.19\", expect_size=\"39735296\"] \n  20 [size=\"17061888\", alpha=\"0.05\", expect_size=\"8530944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92091733\", alpha=\"0.02\", expect_size=\"27627520\"] \n  1 -> 6 [size =\"27627520\"]\n  1 -> 8 [size =\"27627520\"]\n  2 [size=\"161344853\", alpha=\"0.13\", expect_size=\"48403456\"] \n  2 -> 6 [size =\"48403456\"]\n  2 -> 7 [size =\"48403456\"]\n  3 [size=\"155282773\", alpha=\"0.19\", expect_size=\"46584832\"] \n  4 [size=\"90958507\", alpha=\"0.10\", expect_size=\"27287552\"] \n  4 -> 6 [size =\"27287552\"]\n  5 [size=\"157197653\", alpha=\"0.09\", expect_size=\"47159296\"] \n  5 -> 6 [size =\"47159296\"]\n  5 -> 7 [size =\"47159296\"]\n  5 -> 8 [size =\"47159296\"]\n  6 [size=\"148862293\", alpha=\"0.18\", expect_size=\"44658688\"] \n  6 -> 10 [size =\"44658688\"]\n  6 -> 12 [size =\"44658688\"]\n  7 [size=\"124255573\", alpha=\"0.02\", expect_size=\"37276672\"] \n  7 -> 10 [size =\"37276672\"]\n  7 -> 12 [size =\"37276672\"]\n  7 -> 13 [size =\"37276672\"]\n  8 [size=\"20319573\", alpha=\"0.10\", expect_size=\"6095872\"] \n  8 -> 9 [size =\"6095872\"]\n  8 -> 10 [size =\"6095872\"]\n  8 -> 11 [size =\"6095872\"]\n  8 -> 12 [size =\"6095872\"]\n  9 [size=\"106816853\", alpha=\"0.18\", expect_size=\"32045056\"] \n  9 -> 15 [size =\"32045056\"]\n  10 [size=\"89644373\", alpha=\"0.04\", expect_size=\"26893312\"] \n  11 [size=\"130874027\", alpha=\"0.00\", expect_size=\"39262208\"] \n  11 -> 14 [size =\"39262208\"]\n  11 -> 15 [size =\"39262208\"]\n  12 [size=\"143455573\", alpha=\"0.14\", expect_size=\"43036672\"] \n  12 -> 14 [size =\"43036672\"]\n  12 -> 15 [size =\"43036672\"]\n  13 [size=\"85012480\", alpha=\"0.14\", expect_size=\"25503744\"] \n  13 -> 15 [size =\"25503744\"]\n  13 -> 15 [size =\"25503744\"]\n  14 [size=\"79370240\", alpha=\"0.09\", expect_size=\"23811072\"] \n  14 -> 16 [size =\"23811072\"]\n  14 -> 17 [size =\"23811072\"]\n  14 -> 18 [size =\"23811072\"]\n  15 [size=\"157341013\", alpha=\"0.03\", expect_size=\"47202304\"] \n  15 -> 16 [size =\"47202304\"]\n  15 -> 17 [size =\"47202304\"]\n  15 -> 18 [size =\"47202304\"]\n  16 [size=\"68874240\", alpha=\"0.14\", expect_size=\"20662272\"] \n  16 -> 19 [size =\"20662272\"]\n  16 -> 20 [size =\"20662272\"]\n  17 [size=\"51452587\", alpha=\"0.09\", expect_size=\"15435776\"] \n  17 -> 19 [size =\"15435776\"]\n  17 -> 20 [size =\"15435776\"]\n  18 [size=\"66088960\", alpha=\"0.08\", expect_size=\"19826688\"] \n  18 -> 20 [size =\"19826688\"]\n  19 [size=\"141056000\", alpha=\"0.04\", expect_size=\"42316800\"] \n  20 [size=\"121944747\", alpha=\"0.01\", expect_size=\"36583424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80814080\", alpha=\"0.09\", expect_size=\"32325632\"] \n  1 -> 2 [size =\"32325632\"]\n  2 [size=\"27479040\", alpha=\"0.04\", expect_size=\"10991616\"] \n  2 -> 3 [size =\"10991616\"]\n  3 [size=\"13268480\", alpha=\"0.12\", expect_size=\"5307392\"] \n  3 -> 4 [size =\"5307392\"]\n  4 [size=\"23854080\", alpha=\"0.13\", expect_size=\"9541632\"] \n  4 -> 5 [size =\"9541632\"]\n  5 [size=\"109455360\", alpha=\"0.18\", expect_size=\"43782144\"] \n  5 -> 6 [size =\"43782144\"]\n  6 [size=\"71354880\", alpha=\"0.12\", expect_size=\"28541952\"] \n  6 -> 7 [size =\"28541952\"]\n  7 [size=\"59855360\", alpha=\"0.03\", expect_size=\"23942144\"] \n  7 -> 8 [size =\"23942144\"]\n  8 [size=\"87129600\", alpha=\"0.17\", expect_size=\"34851840\"] \n  8 -> 9 [size =\"34851840\"]\n  9 [size=\"36065280\", alpha=\"0.04\", expect_size=\"14426112\"] \n  9 -> 10 [size =\"14426112\"]\n  10 [size=\"52014080\", alpha=\"0.10\", expect_size=\"20805632\"] \n  10 -> 11 [size =\"20805632\"]\n  11 [size=\"51176960\", alpha=\"0.08\", expect_size=\"20470784\"] \n  11 -> 12 [size =\"20470784\"]\n  12 [size=\"105551360\", alpha=\"0.11\", expect_size=\"42220544\"] \n  12 -> 13 [size =\"42220544\"]\n  13 [size=\"129994240\", alpha=\"0.09\", expect_size=\"51997696\"] \n  13 -> 14 [size =\"51997696\"]\n  14 [size=\"83968000\", alpha=\"0.14\", expect_size=\"33587200\"] \n  14 -> 15 [size =\"33587200\"]\n  15 [size=\"42544640\", alpha=\"0.10\", expect_size=\"17017856\"] \n  15 -> 16 [size =\"17017856\"]\n  16 [size=\"30448640\", alpha=\"0.09\", expect_size=\"12179456\"] \n  16 -> 17 [size =\"12179456\"]\n  17 [size=\"99886080\", alpha=\"0.12\", expect_size=\"39954432\"] \n  17 -> 18 [size =\"39954432\"]\n  18 [size=\"119508480\", alpha=\"0.04\", expect_size=\"47803392\"] \n  18 -> 19 [size =\"47803392\"]\n  19 [size=\"100344320\", alpha=\"0.15\", expect_size=\"40137728\"] \n  19 -> 20 [size =\"40137728\"]\n  20 [size=\"125698560\", alpha=\"0.16\", expect_size=\"50279424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79091712\", alpha=\"0.08\", expect_size=\"39545856\"] \n  1 -> 2 [size =\"39545856\"]\n  2 [size=\"45768704\", alpha=\"0.14\", expect_size=\"22884352\"] \n  2 -> 3 [size =\"22884352\"]\n  3 [size=\"51300352\", alpha=\"0.16\", expect_size=\"25650176\"] \n  3 -> 4 [size =\"25650176\"]\n  4 [size=\"79624192\", alpha=\"0.01\", expect_size=\"39812096\"] \n  4 -> 5 [size =\"39812096\"]\n  5 [size=\"37584896\", alpha=\"0.09\", expect_size=\"18792448\"] \n  5 -> 6 [size =\"18792448\"]\n  6 [size=\"89344000\", alpha=\"0.08\", expect_size=\"44672000\"] \n  6 -> 7 [size =\"44672000\"]\n  7 [size=\"89036800\", alpha=\"0.03\", expect_size=\"44518400\"] \n  7 -> 8 [size =\"44518400\"]\n  8 [size=\"18761728\", alpha=\"0.12\", expect_size=\"9380864\"] \n  8 -> 9 [size =\"9380864\"]\n  9 [size=\"82659328\", alpha=\"0.19\", expect_size=\"41329664\"] \n  9 -> 10 [size =\"41329664\"]\n  10 [size=\"36077568\", alpha=\"0.12\", expect_size=\"18038784\"] \n  10 -> 11 [size =\"18038784\"]\n  11 [size=\"19699712\", alpha=\"0.13\", expect_size=\"9849856\"] \n  11 -> 12 [size =\"9849856\"]\n  12 [size=\"55443456\", alpha=\"0.15\", expect_size=\"27721728\"] \n  12 -> 13 [size =\"27721728\"]\n  13 [size=\"25319424\", alpha=\"0.01\", expect_size=\"12659712\"] \n  13 -> 14 [size =\"12659712\"]\n  14 [size=\"102064128\", alpha=\"0.11\", expect_size=\"51032064\"] \n  14 -> 15 [size =\"51032064\"]\n  15 [size=\"14577664\", alpha=\"0.14\", expect_size=\"7288832\"] \n  15 -> 16 [size =\"7288832\"]\n  16 [size=\"58609664\", alpha=\"0.20\", expect_size=\"29304832\"] \n  16 -> 17 [size =\"29304832\"]\n  17 [size=\"94986240\", alpha=\"0.01\", expect_size=\"47493120\"] \n  17 -> 18 [size =\"47493120\"]\n  18 [size=\"13756416\", alpha=\"0.08\", expect_size=\"6878208\"] \n  18 -> 19 [size =\"6878208\"]\n  19 [size=\"72370176\", alpha=\"0.14\", expect_size=\"36185088\"] \n  19 -> 20 [size =\"36185088\"]\n  20 [size=\"65501184\", alpha=\"0.01\", expect_size=\"32750592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110382080\", alpha=\"0.05\", expect_size=\"44152832\"] \n  1 -> 2 [size =\"44152832\"]\n  1 -> 3 [size =\"44152832\"]\n  2 [size=\"85575680\", alpha=\"0.14\", expect_size=\"34230272\"] \n  2 -> 4 [size =\"34230272\"]\n  3 [size=\"56156160\", alpha=\"0.04\", expect_size=\"22462464\"] \n  3 -> 4 [size =\"22462464\"]\n  4 [size=\"28815360\", alpha=\"0.07\", expect_size=\"11526144\"] \n  4 -> 5 [size =\"11526144\"]\n  5 [size=\"122547200\", alpha=\"0.06\", expect_size=\"49018880\"] \n  5 -> 6 [size =\"49018880\"]\n  6 [size=\"17059840\", alpha=\"0.17\", expect_size=\"6823936\"] \n  6 -> 7 [size =\"6823936\"]\n  6 -> 8 [size =\"6823936\"]\n  7 [size=\"58293760\", alpha=\"0.18\", expect_size=\"23317504\"] \n  8 [size=\"125294080\", alpha=\"0.06\", expect_size=\"50117632\"] \n  8 -> 9 [size =\"50117632\"]\n  8 -> 10 [size =\"50117632\"]\n  9 [size=\"65428480\", alpha=\"0.08\", expect_size=\"26171392\"] \n  9 -> 11 [size =\"26171392\"]\n  10 [size=\"108385280\", alpha=\"0.06\", expect_size=\"43354112\"] \n  11 [size=\"48547840\", alpha=\"0.12\", expect_size=\"19419136\"] \n  11 -> 12 [size =\"19419136\"]\n  12 [size=\"76288000\", alpha=\"0.11\", expect_size=\"30515200\"] \n  12 -> 13 [size =\"30515200\"]\n  13 [size=\"38958080\", alpha=\"0.12\", expect_size=\"15583232\"] \n  13 -> 14 [size =\"15583232\"]\n  14 [size=\"62691840\", alpha=\"0.01\", expect_size=\"25076736\"] \n  14 -> 15 [size =\"25076736\"]\n  15 [size=\"104296960\", alpha=\"0.05\", expect_size=\"41718784\"] \n  15 -> 16 [size =\"41718784\"]\n  15 -> 17 [size =\"41718784\"]\n  16 [size=\"24384000\", alpha=\"0.10\", expect_size=\"9753600\"] \n  16 -> 18 [size =\"9753600\"]\n  16 -> 19 [size =\"9753600\"]\n  17 [size=\"122680320\", alpha=\"0.18\", expect_size=\"49072128\"] \n  17 -> 18 [size =\"49072128\"]\n  18 [size=\"110487040\", alpha=\"0.02\", expect_size=\"44194816\"] \n  18 -> 20 [size =\"44194816\"]\n  19 [size=\"28349440\", alpha=\"0.06\", expect_size=\"11339776\"] \n  19 -> 20 [size =\"11339776\"]\n  20 [size=\"73310720\", alpha=\"0.07\", expect_size=\"29324288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117534720\", alpha=\"0.18\", expect_size=\"35260416\"] \n  1 -> 7 [size =\"35260416\"]\n  2 [size=\"161737387\", alpha=\"0.12\", expect_size=\"48521216\"] \n  2 -> 6 [size =\"48521216\"]\n  3 [size=\"61047467\", alpha=\"0.08\", expect_size=\"18314240\"] \n  3 -> 5 [size =\"18314240\"]\n  3 -> 6 [size =\"18314240\"]\n  4 [size=\"51490133\", alpha=\"0.11\", expect_size=\"15447040\"] \n  4 -> 7 [size =\"15447040\"]\n  5 [size=\"101946027\", alpha=\"0.17\", expect_size=\"30583808\"] \n  5 -> 9 [size =\"30583808\"]\n  5 -> 10 [size =\"30583808\"]\n  5 -> 11 [size =\"30583808\"]\n  6 [size=\"40724480\", alpha=\"0.02\", expect_size=\"12217344\"] \n  6 -> 8 [size =\"12217344\"]\n  7 [size=\"102526293\", alpha=\"0.17\", expect_size=\"30757888\"] \n  7 -> 8 [size =\"30757888\"]\n  7 -> 10 [size =\"30757888\"]\n  8 [size=\"44523520\", alpha=\"0.17\", expect_size=\"13357056\"] \n  8 -> 12 [size =\"13357056\"]\n  9 [size=\"55381333\", alpha=\"0.04\", expect_size=\"16614400\"] \n  9 -> 12 [size =\"16614400\"]\n  9 -> 14 [size =\"16614400\"]\n  10 [size=\"165758293\", alpha=\"0.13\", expect_size=\"49727488\"] \n  10 -> 13 [size =\"49727488\"]\n  10 -> 15 [size =\"49727488\"]\n  11 [size=\"21275307\", alpha=\"0.14\", expect_size=\"6382592\"] \n  11 -> 13 [size =\"6382592\"]\n  11 -> 15 [size =\"6382592\"]\n  12 [size=\"163843413\", alpha=\"0.10\", expect_size=\"49153024\"] \n  12 -> 16 [size =\"49153024\"]\n  13 [size=\"99741013\", alpha=\"0.05\", expect_size=\"29922304\"] \n  13 -> 18 [size =\"29922304\"]\n  14 [size=\"163505493\", alpha=\"0.03\", expect_size=\"49051648\"] \n  14 -> 17 [size =\"49051648\"]\n  15 [size=\"96180907\", alpha=\"0.06\", expect_size=\"28854272\"] \n  15 -> 16 [size =\"28854272\"]\n  15 -> 17 [size =\"28854272\"]\n  15 -> 18 [size =\"28854272\"]\n  16 [size=\"74345813\", alpha=\"0.11\", expect_size=\"22303744\"] \n  17 [size=\"90736640\", alpha=\"0.04\", expect_size=\"27220992\"] \n  18 [size=\"65344853\", alpha=\"0.03\", expect_size=\"19603456\"] \n  18 -> 19 [size =\"19603456\"]\n  18 -> 20 [size =\"19603456\"]\n  19 [size=\"40970240\", alpha=\"0.03\", expect_size=\"12291072\"] \n  20 [size=\"76154880\", alpha=\"0.12\", expect_size=\"22846464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122944853\", alpha=\"0.10\", expect_size=\"36883456\"] \n  1 -> 14 [size =\"36883456\"]\n  2 [size=\"152528213\", alpha=\"0.00\", expect_size=\"45758464\"] \n  2 -> 11 [size =\"45758464\"]\n  2 -> 14 [size =\"45758464\"]\n  3 [size=\"109824000\", alpha=\"0.18\", expect_size=\"32947200\"] \n  3 -> 11 [size =\"32947200\"]\n  4 [size=\"108772693\", alpha=\"0.08\", expect_size=\"32631808\"] \n  4 -> 11 [size =\"32631808\"]\n  4 -> 12 [size =\"32631808\"]\n  4 -> 13 [size =\"32631808\"]\n  5 [size=\"117609813\", alpha=\"0.12\", expect_size=\"35282944\"] \n  6 [size=\"84326400\", alpha=\"0.00\", expect_size=\"25297920\"] \n  6 -> 11 [size =\"25297920\"]\n  6 -> 12 [size =\"25297920\"]\n  6 -> 14 [size =\"25297920\"]\n  7 [size=\"58108587\", alpha=\"0.07\", expect_size=\"17432576\"] \n  7 -> 10 [size =\"17432576\"]\n  7 -> 11 [size =\"17432576\"]\n  7 -> 13 [size =\"17432576\"]\n  8 [size=\"96535893\", alpha=\"0.15\", expect_size=\"28960768\"] \n  9 [size=\"27931307\", alpha=\"0.10\", expect_size=\"8379392\"] \n  9 -> 10 [size =\"8379392\"]\n  9 -> 14 [size =\"8379392\"]\n  10 [size=\"92576427\", alpha=\"0.14\", expect_size=\"27772928\"] \n  10 -> 17 [size =\"27772928\"]\n  10 -> 19 [size =\"27772928\"]\n  10 -> 20 [size =\"27772928\"]\n  11 [size=\"62399147\", alpha=\"0.19\", expect_size=\"18719744\"] \n  11 -> 16 [size =\"18719744\"]\n  12 [size=\"144875520\", alpha=\"0.13\", expect_size=\"43462656\"] \n  12 -> 16 [size =\"43462656\"]\n  12 -> 20 [size =\"43462656\"]\n  13 [size=\"147869013\", alpha=\"0.19\", expect_size=\"44360704\"] \n  13 -> 15 [size =\"44360704\"]\n  13 -> 20 [size =\"44360704\"]\n  14 [size=\"135004160\", alpha=\"0.06\", expect_size=\"40501248\"] \n  14 -> 15 [size =\"40501248\"]\n  14 -> 16 [size =\"40501248\"]\n  14 -> 17 [size =\"40501248\"]\n  14 -> 18 [size =\"40501248\"]\n  15 [size=\"39212373\", alpha=\"0.11\", expect_size=\"11763712\"] \n  16 [size=\"134106453\", alpha=\"0.00\", expect_size=\"40231936\"] \n  17 [size=\"135557120\", alpha=\"0.04\", expect_size=\"40667136\"] \n  18 [size=\"33375573\", alpha=\"0.16\", expect_size=\"10012672\"] \n  19 [size=\"153330347\", alpha=\"0.19\", expect_size=\"45999104\"] \n  20 [size=\"71222613\", alpha=\"0.17\", expect_size=\"21366784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85797547\", alpha=\"0.19\", expect_size=\"25739264\"] \n  1 -> 6 [size =\"25739264\"]\n  1 -> 7 [size =\"25739264\"]\n  2 [size=\"69771947\", alpha=\"0.18\", expect_size=\"20931584\"] \n  2 -> 5 [size =\"20931584\"]\n  2 -> 6 [size =\"20931584\"]\n  3 [size=\"60600320\", alpha=\"0.07\", expect_size=\"18180096\"] \n  3 -> 4 [size =\"18180096\"]\n  3 -> 5 [size =\"18180096\"]\n  3 -> 6 [size =\"18180096\"]\n  4 [size=\"96672427\", alpha=\"0.08\", expect_size=\"29001728\"] \n  4 -> 9 [size =\"29001728\"]\n  4 -> 10 [size =\"29001728\"]\n  5 [size=\"94638080\", alpha=\"0.04\", expect_size=\"28391424\"] \n  5 -> 8 [size =\"28391424\"]\n  5 -> 10 [size =\"28391424\"]\n  6 [size=\"120412160\", alpha=\"0.09\", expect_size=\"36123648\"] \n  6 -> 8 [size =\"36123648\"]\n  6 -> 9 [size =\"36123648\"]\n  6 -> 10 [size =\"36123648\"]\n  6 -> 11 [size =\"36123648\"]\n  7 [size=\"44503040\", alpha=\"0.07\", expect_size=\"13350912\"] \n  7 -> 8 [size =\"13350912\"]\n  7 -> 9 [size =\"13350912\"]\n  7 -> 10 [size =\"13350912\"]\n  7 -> 11 [size =\"13350912\"]\n  8 [size=\"116517547\", alpha=\"0.08\", expect_size=\"34955264\"] \n  8 -> 12 [size =\"34955264\"]\n  8 -> 13 [size =\"34955264\"]\n  8 -> 14 [size =\"34955264\"]\n  9 [size=\"142960640\", alpha=\"0.07\", expect_size=\"42888192\"] \n  9 -> 12 [size =\"42888192\"]\n  9 -> 13 [size =\"42888192\"]\n  9 -> 14 [size =\"42888192\"]\n  10 [size=\"97447253\", alpha=\"0.18\", expect_size=\"29234176\"] \n  10 -> 13 [size =\"29234176\"]\n  11 [size=\"47162027\", alpha=\"0.09\", expect_size=\"14148608\"] \n  11 -> 13 [size =\"14148608\"]\n  11 -> 14 [size =\"14148608\"]\n  12 [size=\"35778560\", alpha=\"0.15\", expect_size=\"10733568\"] \n  12 -> 15 [size =\"10733568\"]\n  12 -> 17 [size =\"10733568\"]\n  12 -> 18 [size =\"10733568\"]\n  13 [size=\"19165867\", alpha=\"0.06\", expect_size=\"5749760\"] \n  13 -> 15 [size =\"5749760\"]\n  13 -> 16 [size =\"5749760\"]\n  13 -> 17 [size =\"5749760\"]\n  14 [size=\"74905600\", alpha=\"0.01\", expect_size=\"22471680\"] \n  14 -> 15 [size =\"22471680\"]\n  14 -> 16 [size =\"22471680\"]\n  14 -> 17 [size =\"22471680\"]\n  14 -> 18 [size =\"22471680\"]\n  15 [size=\"135041707\", alpha=\"0.20\", expect_size=\"40512512\"] \n  15 -> 19 [size =\"40512512\"]\n  15 -> 20 [size =\"40512512\"]\n  16 [size=\"168028160\", alpha=\"0.05\", expect_size=\"50408448\"] \n  17 [size=\"80530773\", alpha=\"0.05\", expect_size=\"24159232\"] \n  17 -> 19 [size =\"24159232\"]\n  17 -> 20 [size =\"24159232\"]\n  18 [size=\"138383360\", alpha=\"0.04\", expect_size=\"41515008\"] \n  18 -> 19 [size =\"41515008\"]\n  19 [size=\"42506240\", alpha=\"0.07\", expect_size=\"12751872\"] \n  20 [size=\"94300160\", alpha=\"0.14\", expect_size=\"28290048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74964480\", alpha=\"0.07\", expect_size=\"29985792\"] \n  1 -> 5 [size =\"29985792\"]\n  1 -> 6 [size =\"29985792\"]\n  1 -> 7 [size =\"29985792\"]\n  1 -> 8 [size =\"29985792\"]\n  2 [size=\"24312320\", alpha=\"0.18\", expect_size=\"9724928\"] \n  2 -> 6 [size =\"9724928\"]\n  2 -> 7 [size =\"9724928\"]\n  2 -> 8 [size =\"9724928\"]\n  3 [size=\"129717760\", alpha=\"0.17\", expect_size=\"51887104\"] \n  3 -> 5 [size =\"51887104\"]\n  3 -> 8 [size =\"51887104\"]\n  4 [size=\"118707200\", alpha=\"0.04\", expect_size=\"47482880\"] \n  4 -> 5 [size =\"47482880\"]\n  4 -> 7 [size =\"47482880\"]\n  5 [size=\"23257600\", alpha=\"0.09\", expect_size=\"9303040\"] \n  5 -> 11 [size =\"9303040\"]\n  6 [size=\"82304000\", alpha=\"0.02\", expect_size=\"32921600\"] \n  6 -> 10 [size =\"32921600\"]\n  6 -> 11 [size =\"32921600\"]\n  7 [size=\"117442560\", alpha=\"0.11\", expect_size=\"46977024\"] \n  7 -> 9 [size =\"46977024\"]\n  7 -> 11 [size =\"46977024\"]\n  8 [size=\"101027840\", alpha=\"0.07\", expect_size=\"40411136\"] \n  8 -> 10 [size =\"40411136\"]\n  8 -> 11 [size =\"40411136\"]\n  9 [size=\"34501120\", alpha=\"0.01\", expect_size=\"13800448\"] \n  9 -> 14 [size =\"13800448\"]\n  9 -> 15 [size =\"13800448\"]\n  10 [size=\"49377280\", alpha=\"0.19\", expect_size=\"19750912\"] \n  10 -> 12 [size =\"19750912\"]\n  10 -> 14 [size =\"19750912\"]\n  10 -> 15 [size =\"19750912\"]\n  11 [size=\"90880000\", alpha=\"0.08\", expect_size=\"36352000\"] \n  11 -> 13 [size =\"36352000\"]\n  11 -> 14 [size =\"36352000\"]\n  11 -> 15 [size =\"36352000\"]\n  12 [size=\"14784000\", alpha=\"0.15\", expect_size=\"5913600\"] \n  12 -> 16 [size =\"5913600\"]\n  12 -> 17 [size =\"5913600\"]\n  12 -> 18 [size =\"5913600\"]\n  12 -> 19 [size =\"5913600\"]\n  13 [size=\"120130560\", alpha=\"0.18\", expect_size=\"48052224\"] \n  13 -> 19 [size =\"48052224\"]\n  14 [size=\"101798400\", alpha=\"0.05\", expect_size=\"40719360\"] \n  14 -> 16 [size =\"40719360\"]\n  14 -> 17 [size =\"40719360\"]\n  15 [size=\"124618240\", alpha=\"0.04\", expect_size=\"49847296\"] \n  15 -> 19 [size =\"49847296\"]\n  16 [size=\"59555840\", alpha=\"0.12\", expect_size=\"23822336\"] \n  17 [size=\"69301760\", alpha=\"0.11\", expect_size=\"27720704\"] \n  17 -> 20 [size =\"27720704\"]\n  18 [size=\"13529600\", alpha=\"0.15\", expect_size=\"5411840\"] \n  18 -> 20 [size =\"5411840\"]\n  19 [size=\"56857600\", alpha=\"0.17\", expect_size=\"22743040\"] \n  20 [size=\"62929920\", alpha=\"0.10\", expect_size=\"25171968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61079552\", alpha=\"0.04\", expect_size=\"30539776\"] \n  1 -> 14 [size =\"30539776\"]\n  1 -> 15 [size =\"30539776\"]\n  1 -> 16 [size =\"30539776\"]\n  1 -> 18 [size =\"30539776\"]\n  1 -> 19 [size =\"30539776\"]\n  2 [size=\"12070912\", alpha=\"0.17\", expect_size=\"6035456\"] \n  2 -> 19 [size =\"6035456\"]\n  2 -> 20 [size =\"6035456\"]\n  3 [size=\"83576832\", alpha=\"0.08\", expect_size=\"41788416\"] \n  3 -> 14 [size =\"41788416\"]\n  3 -> 15 [size =\"41788416\"]\n  3 -> 19 [size =\"41788416\"]\n  4 [size=\"46585856\", alpha=\"0.07\", expect_size=\"23292928\"] \n  4 -> 16 [size =\"23292928\"]\n  4 -> 17 [size =\"23292928\"]\n  4 -> 19 [size =\"23292928\"]\n  4 -> 20 [size =\"23292928\"]\n  5 [size=\"41072640\", alpha=\"0.07\", expect_size=\"20536320\"] \n  5 -> 14 [size =\"20536320\"]\n  5 -> 16 [size =\"20536320\"]\n  5 -> 17 [size =\"20536320\"]\n  5 -> 18 [size =\"20536320\"]\n  5 -> 19 [size =\"20536320\"]\n  5 -> 20 [size =\"20536320\"]\n  6 [size=\"56918016\", alpha=\"0.19\", expect_size=\"28459008\"] \n  6 -> 14 [size =\"28459008\"]\n  6 -> 16 [size =\"28459008\"]\n  6 -> 18 [size =\"28459008\"]\n  7 [size=\"26775552\", alpha=\"0.10\", expect_size=\"13387776\"] \n  7 -> 16 [size =\"13387776\"]\n  7 -> 17 [size =\"13387776\"]\n  7 -> 18 [size =\"13387776\"]\n  7 -> 19 [size =\"13387776\"]\n  8 [size=\"29800448\", alpha=\"0.08\", expect_size=\"14900224\"] \n  8 -> 17 [size =\"14900224\"]\n  8 -> 18 [size =\"14900224\"]\n  8 -> 18 [size =\"14900224\"]\n  9 [size=\"73443328\", alpha=\"0.00\", expect_size=\"36721664\"] \n  9 -> 19 [size =\"36721664\"]\n  9 -> 20 [size =\"36721664\"]\n  10 [size=\"40851456\", alpha=\"0.09\", expect_size=\"20425728\"] \n  10 -> 14 [size =\"20425728\"]\n  10 -> 15 [size =\"20425728\"]\n  10 -> 16 [size =\"20425728\"]\n  10 -> 19 [size =\"20425728\"]\n  10 -> 20 [size =\"20425728\"]\n  11 [size=\"33890304\", alpha=\"0.10\", expect_size=\"16945152\"] \n  11 -> 14 [size =\"16945152\"]\n  11 -> 15 [size =\"16945152\"]\n  11 -> 17 [size =\"16945152\"]\n  11 -> 19 [size =\"16945152\"]\n  11 -> 20 [size =\"16945152\"]\n  12 [size=\"52072448\", alpha=\"0.02\", expect_size=\"26036224\"] \n  12 -> 14 [size =\"26036224\"]\n  12 -> 15 [size =\"26036224\"]\n  12 -> 17 [size =\"26036224\"]\n  12 -> 20 [size =\"26036224\"]\n  13 [size=\"36407296\", alpha=\"0.09\", expect_size=\"18203648\"] \n  13 -> 16 [size =\"18203648\"]\n  13 -> 18 [size =\"18203648\"]\n  13 -> 20 [size =\"18203648\"]\n  14 [size=\"72312832\", alpha=\"0.13\", expect_size=\"36156416\"] \n  15 [size=\"11186176\", alpha=\"0.19\", expect_size=\"5593088\"] \n  16 [size=\"46053376\", alpha=\"0.12\", expect_size=\"23026688\"] \n  17 [size=\"39696384\", alpha=\"0.02\", expect_size=\"19848192\"] \n  18 [size=\"88541184\", alpha=\"0.14\", expect_size=\"44270592\"] \n  19 [size=\"33220608\", alpha=\"0.01\", expect_size=\"16610304\"] \n  20 [size=\"34891776\", alpha=\"0.11\", expect_size=\"17445888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26494293\", alpha=\"0.17\", expect_size=\"7948288\"] \n  1 -> 7 [size =\"7948288\"]\n  1 -> 12 [size =\"7948288\"]\n  2 [size=\"162225493\", alpha=\"0.00\", expect_size=\"48667648\"] \n  2 -> 10 [size =\"48667648\"]\n  2 -> 11 [size =\"48667648\"]\n  2 -> 12 [size =\"48667648\"]\n  3 [size=\"79639893\", alpha=\"0.10\", expect_size=\"23891968\"] \n  3 -> 10 [size =\"23891968\"]\n  4 [size=\"88453120\", alpha=\"0.14\", expect_size=\"26535936\"] \n  4 -> 7 [size =\"26535936\"]\n  4 -> 9 [size =\"26535936\"]\n  5 [size=\"53302613\", alpha=\"0.11\", expect_size=\"15990784\"] \n  5 -> 8 [size =\"15990784\"]\n  6 [size=\"56965120\", alpha=\"0.12\", expect_size=\"17089536\"] \n  6 -> 10 [size =\"17089536\"]\n  6 -> 11 [size =\"17089536\"]\n  7 [size=\"83165867\", alpha=\"0.01\", expect_size=\"24949760\"] \n  7 -> 16 [size =\"24949760\"]\n  8 [size=\"153780907\", alpha=\"0.05\", expect_size=\"46134272\"] \n  8 -> 13 [size =\"46134272\"]\n  8 -> 14 [size =\"46134272\"]\n  8 -> 15 [size =\"46134272\"]\n  9 [size=\"127047680\", alpha=\"0.05\", expect_size=\"38114304\"] \n  9 -> 14 [size =\"38114304\"]\n  9 -> 15 [size =\"38114304\"]\n  9 -> 16 [size =\"38114304\"]\n  9 -> 17 [size =\"38114304\"]\n  10 [size=\"148145493\", alpha=\"0.08\", expect_size=\"44443648\"] \n  10 -> 16 [size =\"44443648\"]\n  10 -> 18 [size =\"44443648\"]\n  11 [size=\"99952640\", alpha=\"0.07\", expect_size=\"29985792\"] \n  12 [size=\"73567573\", alpha=\"0.15\", expect_size=\"22070272\"] \n  12 -> 13 [size =\"22070272\"]\n  12 -> 16 [size =\"22070272\"]\n  12 -> 17 [size =\"22070272\"]\n  13 [size=\"76950187\", alpha=\"0.19\", expect_size=\"23085056\"] \n  14 [size=\"155374933\", alpha=\"0.15\", expect_size=\"46612480\"] \n  14 -> 19 [size =\"46612480\"]\n  15 [size=\"107765760\", alpha=\"0.05\", expect_size=\"32329728\"] \n  15 -> 20 [size =\"32329728\"]\n  16 [size=\"38027947\", alpha=\"0.11\", expect_size=\"11408384\"] \n  16 -> 20 [size =\"11408384\"]\n  17 [size=\"134400000\", alpha=\"0.00\", expect_size=\"40320000\"] \n  17 -> 20 [size =\"40320000\"]\n  18 [size=\"140346027\", alpha=\"0.02\", expect_size=\"42103808\"] \n  19 [size=\"18981547\", alpha=\"0.10\", expect_size=\"5694464\"] \n  20 [size=\"60986027\", alpha=\"0.04\", expect_size=\"18295808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15468544\", alpha=\"0.10\", expect_size=\"7734272\"] \n  1 -> 6 [size =\"7734272\"]\n  2 [size=\"28325888\", alpha=\"0.00\", expect_size=\"14162944\"] \n  2 -> 6 [size =\"14162944\"]\n  2 -> 7 [size =\"14162944\"]\n  3 [size=\"85891072\", alpha=\"0.16\", expect_size=\"42945536\"] \n  4 [size=\"21235712\", alpha=\"0.01\", expect_size=\"10617856\"] \n  5 [size=\"52000768\", alpha=\"0.09\", expect_size=\"26000384\"] \n  5 -> 6 [size =\"26000384\"]\n  5 -> 7 [size =\"26000384\"]\n  6 [size=\"78190592\", alpha=\"0.13\", expect_size=\"39095296\"] \n  6 -> 8 [size =\"39095296\"]\n  6 -> 9 [size =\"39095296\"]\n  7 [size=\"104151040\", alpha=\"0.20\", expect_size=\"52075520\"] \n  7 -> 8 [size =\"52075520\"]\n  8 [size=\"21248000\", alpha=\"0.01\", expect_size=\"10624000\"] \n  8 -> 11 [size =\"10624000\"]\n  8 -> 12 [size =\"10624000\"]\n  8 -> 13 [size =\"10624000\"]\n  8 -> 14 [size =\"10624000\"]\n  9 [size=\"104167424\", alpha=\"0.03\", expect_size=\"52083712\"] \n  9 -> 10 [size =\"52083712\"]\n  9 -> 11 [size =\"52083712\"]\n  9 -> 12 [size =\"52083712\"]\n  9 -> 13 [size =\"52083712\"]\n  9 -> 14 [size =\"52083712\"]\n  10 [size=\"32731136\", alpha=\"0.01\", expect_size=\"16365568\"] \n  10 -> 16 [size =\"16365568\"]\n  10 -> 18 [size =\"16365568\"]\n  10 -> 19 [size =\"16365568\"]\n  11 [size=\"22870016\", alpha=\"0.11\", expect_size=\"11435008\"] \n  11 -> 15 [size =\"11435008\"]\n  11 -> 16 [size =\"11435008\"]\n  11 -> 19 [size =\"11435008\"]\n  12 [size=\"69189632\", alpha=\"0.10\", expect_size=\"34594816\"] \n  12 -> 15 [size =\"34594816\"]\n  12 -> 17 [size =\"34594816\"]\n  13 [size=\"71378944\", alpha=\"0.11\", expect_size=\"35689472\"] \n  13 -> 15 [size =\"35689472\"]\n  13 -> 16 [size =\"35689472\"]\n  13 -> 18 [size =\"35689472\"]\n  14 [size=\"50812928\", alpha=\"0.12\", expect_size=\"25406464\"] \n  14 -> 16 [size =\"25406464\"]\n  14 -> 18 [size =\"25406464\"]\n  15 [size=\"54480896\", alpha=\"0.14\", expect_size=\"27240448\"] \n  16 [size=\"96925696\", alpha=\"0.10\", expect_size=\"48462848\"] \n  16 -> 20 [size =\"48462848\"]\n  17 [size=\"66197504\", alpha=\"0.17\", expect_size=\"33098752\"] \n  17 -> 20 [size =\"33098752\"]\n  18 [size=\"65126400\", alpha=\"0.04\", expect_size=\"32563200\"] \n  19 [size=\"70443008\", alpha=\"0.09\", expect_size=\"35221504\"] \n  19 -> 20 [size =\"35221504\"]\n  20 [size=\"82823168\", alpha=\"0.10\", expect_size=\"41411584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104435200\", alpha=\"0.12\", expect_size=\"41774080\"] \n  1 -> 7 [size =\"41774080\"]\n  2 [size=\"114316800\", alpha=\"0.07\", expect_size=\"45726720\"] \n  2 -> 5 [size =\"45726720\"]\n  3 [size=\"25088000\", alpha=\"0.15\", expect_size=\"10035200\"] \n  3 -> 6 [size =\"10035200\"]\n  4 [size=\"17067520\", alpha=\"0.01\", expect_size=\"6827008\"] \n  4 -> 7 [size =\"6827008\"]\n  5 [size=\"110727680\", alpha=\"0.02\", expect_size=\"44291072\"] \n  5 -> 8 [size =\"44291072\"]\n  5 -> 9 [size =\"44291072\"]\n  6 [size=\"51804160\", alpha=\"0.08\", expect_size=\"20721664\"] \n  7 [size=\"125777920\", alpha=\"0.08\", expect_size=\"50311168\"] \n  7 -> 8 [size =\"50311168\"]\n  7 -> 10 [size =\"50311168\"]\n  7 -> 11 [size =\"50311168\"]\n  8 [size=\"73274880\", alpha=\"0.14\", expect_size=\"29309952\"] \n  9 [size=\"99417600\", alpha=\"0.02\", expect_size=\"39767040\"] \n  10 [size=\"81794560\", alpha=\"0.18\", expect_size=\"32717824\"] \n  10 -> 12 [size =\"32717824\"]\n  10 -> 13 [size =\"32717824\"]\n  11 [size=\"62906880\", alpha=\"0.10\", expect_size=\"25162752\"] \n  11 -> 14 [size =\"25162752\"]\n  12 [size=\"16320000\", alpha=\"0.18\", expect_size=\"6528000\"] \n  13 [size=\"57702400\", alpha=\"0.11\", expect_size=\"23080960\"] \n  13 -> 15 [size =\"23080960\"]\n  13 -> 16 [size =\"23080960\"]\n  13 -> 17 [size =\"23080960\"]\n  14 [size=\"30538240\", alpha=\"0.00\", expect_size=\"12215296\"] \n  14 -> 18 [size =\"12215296\"]\n  15 [size=\"39080960\", alpha=\"0.18\", expect_size=\"15632384\"] \n  16 [size=\"50892800\", alpha=\"0.13\", expect_size=\"20357120\"] \n  17 [size=\"100774400\", alpha=\"0.18\", expect_size=\"40309760\"] \n  17 -> 19 [size =\"40309760\"]\n  17 -> 20 [size =\"40309760\"]\n  18 [size=\"31751680\", alpha=\"0.20\", expect_size=\"12700672\"] \n  18 -> 20 [size =\"12700672\"]\n  19 [size=\"113282560\", alpha=\"0.12\", expect_size=\"45313024\"] \n  20 [size=\"124172800\", alpha=\"0.14\", expect_size=\"49669120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100640768\", alpha=\"0.13\", expect_size=\"50320384\"] \n  1 -> 17 [size =\"50320384\"]\n  1 -> 18 [size =\"50320384\"]\n  2 [size=\"84160512\", alpha=\"0.04\", expect_size=\"42080256\"] \n  2 -> 17 [size =\"42080256\"]\n  3 [size=\"30760960\", alpha=\"0.19\", expect_size=\"15380480\"] \n  3 -> 19 [size =\"15380480\"]\n  4 [size=\"26812416\", alpha=\"0.05\", expect_size=\"13406208\"] \n  4 -> 18 [size =\"13406208\"]\n  4 -> 19 [size =\"13406208\"]\n  5 [size=\"34154496\", alpha=\"0.06\", expect_size=\"17077248\"] \n  5 -> 18 [size =\"17077248\"]\n  5 -> 19 [size =\"17077248\"]\n  6 [size=\"19755008\", alpha=\"0.14\", expect_size=\"9877504\"] \n  7 [size=\"80451584\", alpha=\"0.13\", expect_size=\"40225792\"] \n  7 -> 20 [size =\"40225792\"]\n  8 [size=\"72843264\", alpha=\"0.15\", expect_size=\"36421632\"] \n  8 -> 17 [size =\"36421632\"]\n  9 [size=\"41543680\", alpha=\"0.05\", expect_size=\"20771840\"] \n  9 -> 16 [size =\"20771840\"]\n  9 -> 19 [size =\"20771840\"]\n  10 [size=\"87148544\", alpha=\"0.01\", expect_size=\"43574272\"] \n  11 [size=\"61296640\", alpha=\"0.13\", expect_size=\"30648320\"] \n  11 -> 17 [size =\"30648320\"]\n  11 -> 18 [size =\"30648320\"]\n  11 -> 20 [size =\"30648320\"]\n  12 [size=\"29143040\", alpha=\"0.13\", expect_size=\"14571520\"] \n  12 -> 19 [size =\"14571520\"]\n  13 [size=\"46852096\", alpha=\"0.03\", expect_size=\"23426048\"] \n  13 -> 15 [size =\"23426048\"]\n  13 -> 17 [size =\"23426048\"]\n  13 -> 18 [size =\"23426048\"]\n  14 [size=\"42002432\", alpha=\"0.01\", expect_size=\"21001216\"] \n  15 [size=\"66326528\", alpha=\"0.00\", expect_size=\"33163264\"] \n  16 [size=\"95817728\", alpha=\"0.05\", expect_size=\"47908864\"] \n  17 [size=\"69048320\", alpha=\"0.14\", expect_size=\"34524160\"] \n  18 [size=\"33925120\", alpha=\"0.12\", expect_size=\"16962560\"] \n  19 [size=\"103262208\", alpha=\"0.20\", expect_size=\"51631104\"] \n  20 [size=\"31819776\", alpha=\"0.09\", expect_size=\"15909888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46510080\", alpha=\"0.01\", expect_size=\"23255040\"] \n  1 -> 2 [size =\"23255040\"]\n  2 [size=\"95268864\", alpha=\"0.14\", expect_size=\"47634432\"] \n  2 -> 3 [size =\"47634432\"]\n  3 [size=\"80683008\", alpha=\"0.19\", expect_size=\"40341504\"] \n  3 -> 4 [size =\"40341504\"]\n  4 [size=\"98744320\", alpha=\"0.09\", expect_size=\"49372160\"] \n  4 -> 5 [size =\"49372160\"]\n  5 [size=\"103686144\", alpha=\"0.04\", expect_size=\"51843072\"] \n  5 -> 6 [size =\"51843072\"]\n  6 [size=\"59111424\", alpha=\"0.18\", expect_size=\"29555712\"] \n  6 -> 7 [size =\"29555712\"]\n  7 [size=\"85374976\", alpha=\"0.12\", expect_size=\"42687488\"] \n  7 -> 8 [size =\"42687488\"]\n  8 [size=\"82397184\", alpha=\"0.06\", expect_size=\"41198592\"] \n  8 -> 9 [size =\"41198592\"]\n  9 [size=\"22241280\", alpha=\"0.04\", expect_size=\"11120640\"] \n  9 -> 10 [size =\"11120640\"]\n  10 [size=\"86165504\", alpha=\"0.06\", expect_size=\"43082752\"] \n  10 -> 11 [size =\"43082752\"]\n  11 [size=\"90144768\", alpha=\"0.06\", expect_size=\"45072384\"] \n  11 -> 12 [size =\"45072384\"]\n  12 [size=\"93546496\", alpha=\"0.14\", expect_size=\"46773248\"] \n  12 -> 13 [size =\"46773248\"]\n  13 [size=\"64894976\", alpha=\"0.10\", expect_size=\"32447488\"] \n  13 -> 14 [size =\"32447488\"]\n  14 [size=\"58429440\", alpha=\"0.03\", expect_size=\"29214720\"] \n  14 -> 15 [size =\"29214720\"]\n  15 [size=\"99158016\", alpha=\"0.08\", expect_size=\"49579008\"] \n  15 -> 16 [size =\"49579008\"]\n  16 [size=\"22216704\", alpha=\"0.08\", expect_size=\"11108352\"] \n  16 -> 17 [size =\"11108352\"]\n  17 [size=\"13113344\", alpha=\"0.03\", expect_size=\"6556672\"] \n  17 -> 18 [size =\"6556672\"]\n  18 [size=\"69783552\", alpha=\"0.09\", expect_size=\"34891776\"] \n  18 -> 19 [size =\"34891776\"]\n  19 [size=\"98781184\", alpha=\"0.09\", expect_size=\"49390592\"] \n  19 -> 20 [size =\"49390592\"]\n  20 [size=\"21295104\", alpha=\"0.12\", expect_size=\"10647552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77816320\", alpha=\"0.05\", expect_size=\"31126528\"] \n  1 -> 6 [size =\"31126528\"]\n  1 -> 7 [size =\"31126528\"]\n  2 [size=\"46279680\", alpha=\"0.07\", expect_size=\"18511872\"] \n  2 -> 5 [size =\"18511872\"]\n  2 -> 6 [size =\"18511872\"]\n  2 -> 7 [size =\"18511872\"]\n  3 [size=\"68761600\", alpha=\"0.19\", expect_size=\"27504640\"] \n  3 -> 6 [size =\"27504640\"]\n  3 -> 6 [size =\"27504640\"]\n  4 [size=\"127587840\", alpha=\"0.03\", expect_size=\"51035136\"] \n  5 [size=\"56166400\", alpha=\"0.17\", expect_size=\"22466560\"] \n  6 [size=\"27000320\", alpha=\"0.11\", expect_size=\"10800128\"] \n  6 -> 8 [size =\"10800128\"]\n  6 -> 9 [size =\"10800128\"]\n  7 [size=\"38814720\", alpha=\"0.15\", expect_size=\"15525888\"] \n  7 -> 9 [size =\"15525888\"]\n  7 -> 9 [size =\"15525888\"]\n  7 -> 10 [size =\"15525888\"]\n  8 [size=\"96849920\", alpha=\"0.13\", expect_size=\"38739968\"] \n  8 -> 12 [size =\"38739968\"]\n  8 -> 13 [size =\"38739968\"]\n  8 -> 14 [size =\"38739968\"]\n  9 [size=\"84520960\", alpha=\"0.18\", expect_size=\"33808384\"] \n  9 -> 11 [size =\"33808384\"]\n  9 -> 12 [size =\"33808384\"]\n  9 -> 13 [size =\"33808384\"]\n  9 -> 14 [size =\"33808384\"]\n  10 [size=\"93854720\", alpha=\"0.08\", expect_size=\"37541888\"] \n  10 -> 12 [size =\"37541888\"]\n  10 -> 13 [size =\"37541888\"]\n  10 -> 14 [size =\"37541888\"]\n  11 [size=\"101204480\", alpha=\"0.19\", expect_size=\"40481792\"] \n  11 -> 16 [size =\"40481792\"]\n  11 -> 17 [size =\"40481792\"]\n  12 [size=\"130726400\", alpha=\"0.12\", expect_size=\"52290560\"] \n  12 -> 15 [size =\"52290560\"]\n  12 -> 16 [size =\"52290560\"]\n  13 [size=\"51827200\", alpha=\"0.10\", expect_size=\"20730880\"] \n  13 -> 15 [size =\"20730880\"]\n  13 -> 16 [size =\"20730880\"]\n  14 [size=\"43458560\", alpha=\"0.09\", expect_size=\"17383424\"] \n  14 -> 15 [size =\"17383424\"]\n  14 -> 16 [size =\"17383424\"]\n  15 [size=\"58516480\", alpha=\"0.07\", expect_size=\"23406592\"] \n  15 -> 18 [size =\"23406592\"]\n  16 [size=\"40988160\", alpha=\"0.06\", expect_size=\"16395264\"] \n  16 -> 18 [size =\"16395264\"]\n  17 [size=\"107146240\", alpha=\"0.10\", expect_size=\"42858496\"] \n  17 -> 18 [size =\"42858496\"]\n  17 -> 19 [size =\"42858496\"]\n  17 -> 20 [size =\"42858496\"]\n  18 [size=\"79249920\", alpha=\"0.01\", expect_size=\"31699968\"] \n  19 [size=\"40778240\", alpha=\"0.09\", expect_size=\"16311296\"] \n  20 [size=\"29765120\", alpha=\"0.16\", expect_size=\"11906048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33390080\", alpha=\"0.18\", expect_size=\"13356032\"] \n  1 -> 14 [size =\"13356032\"]\n  1 -> 16 [size =\"13356032\"]\n  2 [size=\"92293120\", alpha=\"0.08\", expect_size=\"36917248\"] \n  2 -> 14 [size =\"36917248\"]\n  2 -> 15 [size =\"36917248\"]\n  2 -> 16 [size =\"36917248\"]\n  3 [size=\"65671680\", alpha=\"0.10\", expect_size=\"26268672\"] \n  3 -> 17 [size =\"26268672\"]\n  4 [size=\"52175360\", alpha=\"0.20\", expect_size=\"20870144\"] \n  4 -> 18 [size =\"20870144\"]\n  5 [size=\"40243200\", alpha=\"0.11\", expect_size=\"16097280\"] \n  5 -> 16 [size =\"16097280\"]\n  6 [size=\"92229120\", alpha=\"0.18\", expect_size=\"36891648\"] \n  6 -> 14 [size =\"36891648\"]\n  6 -> 20 [size =\"36891648\"]\n  7 [size=\"18933760\", alpha=\"0.19\", expect_size=\"7573504\"] \n  7 -> 16 [size =\"7573504\"]\n  7 -> 19 [size =\"7573504\"]\n  7 -> 20 [size =\"7573504\"]\n  8 [size=\"91857920\", alpha=\"0.14\", expect_size=\"36743168\"] \n  8 -> 14 [size =\"36743168\"]\n  8 -> 19 [size =\"36743168\"]\n  9 [size=\"95088640\", alpha=\"0.13\", expect_size=\"38035456\"] \n  9 -> 14 [size =\"38035456\"]\n  9 -> 17 [size =\"38035456\"]\n  9 -> 19 [size =\"38035456\"]\n  9 -> 20 [size =\"38035456\"]\n  10 [size=\"24885760\", alpha=\"0.17\", expect_size=\"9954304\"] \n  10 -> 20 [size =\"9954304\"]\n  11 [size=\"70264320\", alpha=\"0.15\", expect_size=\"28105728\"] \n  11 -> 16 [size =\"28105728\"]\n  11 -> 19 [size =\"28105728\"]\n  12 [size=\"58810880\", alpha=\"0.04\", expect_size=\"23524352\"] \n  12 -> 14 [size =\"23524352\"]\n  12 -> 15 [size =\"23524352\"]\n  12 -> 16 [size =\"23524352\"]\n  12 -> 19 [size =\"23524352\"]\n  13 [size=\"103244800\", alpha=\"0.02\", expect_size=\"41297920\"] \n  13 -> 14 [size =\"41297920\"]\n  14 [size=\"43914240\", alpha=\"0.02\", expect_size=\"17565696\"] \n  15 [size=\"41249280\", alpha=\"0.08\", expect_size=\"16499712\"] \n  16 [size=\"106577920\", alpha=\"0.18\", expect_size=\"42631168\"] \n  17 [size=\"92587520\", alpha=\"0.12\", expect_size=\"37035008\"] \n  18 [size=\"87874560\", alpha=\"0.19\", expect_size=\"35149824\"] \n  19 [size=\"49748480\", alpha=\"0.13\", expect_size=\"19899392\"] \n  20 [size=\"125534720\", alpha=\"0.02\", expect_size=\"50213888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45137920\", alpha=\"0.05\", expect_size=\"18055168\"] \n  1 -> 14 [size =\"18055168\"]\n  1 -> 15 [size =\"18055168\"]\n  1 -> 16 [size =\"18055168\"]\n  2 [size=\"84623360\", alpha=\"0.19\", expect_size=\"33849344\"] \n  2 -> 14 [size =\"33849344\"]\n  2 -> 18 [size =\"33849344\"]\n  2 -> 20 [size =\"33849344\"]\n  3 [size=\"77852160\", alpha=\"0.10\", expect_size=\"31140864\"] \n  3 -> 14 [size =\"31140864\"]\n  3 -> 18 [size =\"31140864\"]\n  3 -> 19 [size =\"31140864\"]\n  4 [size=\"30333440\", alpha=\"0.11\", expect_size=\"12133376\"] \n  4 -> 14 [size =\"12133376\"]\n  4 -> 15 [size =\"12133376\"]\n  5 [size=\"37038080\", alpha=\"0.18\", expect_size=\"14815232\"] \n  5 -> 15 [size =\"14815232\"]\n  5 -> 16 [size =\"14815232\"]\n  5 -> 20 [size =\"14815232\"]\n  6 [size=\"35197440\", alpha=\"0.04\", expect_size=\"14078976\"] \n  6 -> 17 [size =\"14078976\"]\n  6 -> 20 [size =\"14078976\"]\n  7 [size=\"34368000\", alpha=\"0.17\", expect_size=\"13747200\"] \n  7 -> 14 [size =\"13747200\"]\n  7 -> 15 [size =\"13747200\"]\n  7 -> 16 [size =\"13747200\"]\n  8 [size=\"118538240\", alpha=\"0.12\", expect_size=\"47415296\"] \n  8 -> 15 [size =\"47415296\"]\n  9 [size=\"24412160\", alpha=\"0.06\", expect_size=\"9764864\"] \n  9 -> 14 [size =\"9764864\"]\n  9 -> 15 [size =\"9764864\"]\n  10 [size=\"96371200\", alpha=\"0.15\", expect_size=\"38548480\"] \n  11 [size=\"120819200\", alpha=\"0.16\", expect_size=\"48327680\"] \n  11 -> 18 [size =\"48327680\"]\n  12 [size=\"34314240\", alpha=\"0.09\", expect_size=\"13725696\"] \n  12 -> 18 [size =\"13725696\"]\n  13 [size=\"29785600\", alpha=\"0.20\", expect_size=\"11914240\"] \n  13 -> 17 [size =\"11914240\"]\n  13 -> 20 [size =\"11914240\"]\n  14 [size=\"89930240\", alpha=\"0.06\", expect_size=\"35972096\"] \n  15 [size=\"39621120\", alpha=\"0.10\", expect_size=\"15848448\"] \n  16 [size=\"28771840\", alpha=\"0.18\", expect_size=\"11508736\"] \n  17 [size=\"51673600\", alpha=\"0.13\", expect_size=\"20669440\"] \n  18 [size=\"34257920\", alpha=\"0.09\", expect_size=\"13703168\"] \n  19 [size=\"107289600\", alpha=\"0.10\", expect_size=\"42915840\"] \n  20 [size=\"25602560\", alpha=\"0.13\", expect_size=\"10241024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46045184\", alpha=\"0.13\", expect_size=\"23022592\"] \n  1 -> 17 [size =\"23022592\"]\n  1 -> 19 [size =\"23022592\"]\n  1 -> 20 [size =\"23022592\"]\n  2 [size=\"62185472\", alpha=\"0.11\", expect_size=\"31092736\"] \n  2 -> 17 [size =\"31092736\"]\n  2 -> 20 [size =\"31092736\"]\n  2 -> 20 [size =\"31092736\"]\n  3 [size=\"25561088\", alpha=\"0.01\", expect_size=\"12780544\"] \n  4 [size=\"54812672\", alpha=\"0.14\", expect_size=\"27406336\"] \n  4 -> 19 [size =\"27406336\"]\n  5 [size=\"28035072\", alpha=\"0.15\", expect_size=\"14017536\"] \n  5 -> 19 [size =\"14017536\"]\n  6 [size=\"30844928\", alpha=\"0.10\", expect_size=\"15422464\"] \n  6 -> 19 [size =\"15422464\"]\n  7 [size=\"88342528\", alpha=\"0.15\", expect_size=\"44171264\"] \n  7 -> 17 [size =\"44171264\"]\n  7 -> 19 [size =\"44171264\"]\n  7 -> 20 [size =\"44171264\"]\n  8 [size=\"23339008\", alpha=\"0.02\", expect_size=\"11669504\"] \n  8 -> 18 [size =\"11669504\"]\n  8 -> 19 [size =\"11669504\"]\n  9 [size=\"11984896\", alpha=\"0.20\", expect_size=\"5992448\"] \n  9 -> 17 [size =\"5992448\"]\n  9 -> 18 [size =\"5992448\"]\n  10 [size=\"89237504\", alpha=\"0.13\", expect_size=\"44618752\"] \n  10 -> 17 [size =\"44618752\"]\n  10 -> 19 [size =\"44618752\"]\n  11 [size=\"92448768\", alpha=\"0.17\", expect_size=\"46224384\"] \n  11 -> 20 [size =\"46224384\"]\n  12 [size=\"58062848\", alpha=\"0.14\", expect_size=\"29031424\"] \n  12 -> 19 [size =\"29031424\"]\n  12 -> 20 [size =\"29031424\"]\n  13 [size=\"15865856\", alpha=\"0.08\", expect_size=\"7932928\"] \n  13 -> 19 [size =\"7932928\"]\n  13 -> 20 [size =\"7932928\"]\n  14 [size=\"18737152\", alpha=\"0.11\", expect_size=\"9368576\"] \n  14 -> 19 [size =\"9368576\"]\n  14 -> 20 [size =\"9368576\"]\n  15 [size=\"82833408\", alpha=\"0.03\", expect_size=\"41416704\"] \n  15 -> 19 [size =\"41416704\"]\n  15 -> 20 [size =\"41416704\"]\n  16 [size=\"61507584\", alpha=\"0.09\", expect_size=\"30753792\"] \n  16 -> 17 [size =\"30753792\"]\n  16 -> 18 [size =\"30753792\"]\n  17 [size=\"16336896\", alpha=\"0.06\", expect_size=\"8168448\"] \n  18 [size=\"88287232\", alpha=\"0.01\", expect_size=\"44143616\"] \n  19 [size=\"96141312\", alpha=\"0.11\", expect_size=\"48070656\"] \n  20 [size=\"96073728\", alpha=\"0.09\", expect_size=\"48036864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146077013\", alpha=\"0.20\", expect_size=\"43823104\"] \n  1 -> 8 [size =\"43823104\"]\n  1 -> 9 [size =\"43823104\"]\n  1 -> 14 [size =\"43823104\"]\n  2 [size=\"34990080\", alpha=\"0.15\", expect_size=\"10497024\"] \n  2 -> 8 [size =\"10497024\"]\n  2 -> 11 [size =\"10497024\"]\n  2 -> 14 [size =\"10497024\"]\n  2 -> 15 [size =\"10497024\"]\n  3 [size=\"155835733\", alpha=\"0.16\", expect_size=\"46750720\"] \n  3 -> 8 [size =\"46750720\"]\n  3 -> 9 [size =\"46750720\"]\n  3 -> 10 [size =\"46750720\"]\n  3 -> 14 [size =\"46750720\"]\n  3 -> 15 [size =\"46750720\"]\n  4 [size=\"162778453\", alpha=\"0.03\", expect_size=\"48833536\"] \n  4 -> 9 [size =\"48833536\"]\n  4 -> 11 [size =\"48833536\"]\n  4 -> 12 [size =\"48833536\"]\n  4 -> 13 [size =\"48833536\"]\n  4 -> 15 [size =\"48833536\"]\n  5 [size=\"26408960\", alpha=\"0.05\", expect_size=\"7922688\"] \n  5 -> 9 [size =\"7922688\"]\n  5 -> 11 [size =\"7922688\"]\n  6 [size=\"41922560\", alpha=\"0.10\", expect_size=\"12576768\"] \n  6 -> 12 [size =\"12576768\"]\n  7 [size=\"173172053\", alpha=\"0.08\", expect_size=\"51951616\"] \n  7 -> 8 [size =\"51951616\"]\n  7 -> 14 [size =\"51951616\"]\n  8 [size=\"131246080\", alpha=\"0.09\", expect_size=\"39373824\"] \n  8 -> 18 [size =\"39373824\"]\n  8 -> 20 [size =\"39373824\"]\n  9 [size=\"75868160\", alpha=\"0.09\", expect_size=\"22760448\"] \n  9 -> 19 [size =\"22760448\"]\n  10 [size=\"118374400\", alpha=\"0.07\", expect_size=\"35512320\"] \n  10 -> 17 [size =\"35512320\"]\n  11 [size=\"115981653\", alpha=\"0.07\", expect_size=\"34794496\"] \n  11 -> 16 [size =\"34794496\"]\n  11 -> 17 [size =\"34794496\"]\n  11 -> 19 [size =\"34794496\"]\n  11 -> 20 [size =\"34794496\"]\n  12 [size=\"114834773\", alpha=\"0.20\", expect_size=\"34450432\"] \n  12 -> 16 [size =\"34450432\"]\n  13 [size=\"79373653\", alpha=\"0.01\", expect_size=\"23812096\"] \n  13 -> 16 [size =\"23812096\"]\n  13 -> 20 [size =\"23812096\"]\n  14 [size=\"47605760\", alpha=\"0.16\", expect_size=\"14281728\"] \n  14 -> 17 [size =\"14281728\"]\n  14 -> 19 [size =\"14281728\"]\n  14 -> 20 [size =\"14281728\"]\n  15 [size=\"75052373\", alpha=\"0.09\", expect_size=\"22515712\"] \n  15 -> 18 [size =\"22515712\"]\n  15 -> 20 [size =\"22515712\"]\n  16 [size=\"114455893\", alpha=\"0.16\", expect_size=\"34336768\"] \n  17 [size=\"32194560\", alpha=\"0.20\", expect_size=\"9658368\"] \n  18 [size=\"93047467\", alpha=\"0.11\", expect_size=\"27914240\"] \n  19 [size=\"163068587\", alpha=\"0.14\", expect_size=\"48920576\"] \n  20 [size=\"80240640\", alpha=\"0.06\", expect_size=\"24072192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32638976\", alpha=\"0.01\", expect_size=\"16319488\"] \n  1 -> 3 [size =\"16319488\"]\n  1 -> 4 [size =\"16319488\"]\n  1 -> 5 [size =\"16319488\"]\n  1 -> 6 [size =\"16319488\"]\n  2 [size=\"17133568\", alpha=\"0.15\", expect_size=\"8566784\"] \n  2 -> 3 [size =\"8566784\"]\n  2 -> 4 [size =\"8566784\"]\n  3 [size=\"94377984\", alpha=\"0.20\", expect_size=\"47188992\"] \n  3 -> 7 [size =\"47188992\"]\n  3 -> 9 [size =\"47188992\"]\n  3 -> 10 [size =\"47188992\"]\n  4 [size=\"58025984\", alpha=\"0.01\", expect_size=\"29012992\"] \n  4 -> 9 [size =\"29012992\"]\n  4 -> 10 [size =\"29012992\"]\n  5 [size=\"26804224\", alpha=\"0.12\", expect_size=\"13402112\"] \n  5 -> 7 [size =\"13402112\"]\n  5 -> 8 [size =\"13402112\"]\n  5 -> 9 [size =\"13402112\"]\n  5 -> 10 [size =\"13402112\"]\n  6 [size=\"17944576\", alpha=\"0.04\", expect_size=\"8972288\"] \n  6 -> 7 [size =\"8972288\"]\n  6 -> 8 [size =\"8972288\"]\n  6 -> 9 [size =\"8972288\"]\n  6 -> 10 [size =\"8972288\"]\n  7 [size=\"58353664\", alpha=\"0.05\", expect_size=\"29176832\"] \n  7 -> 11 [size =\"29176832\"]\n  7 -> 12 [size =\"29176832\"]\n  7 -> 13 [size =\"29176832\"]\n  8 [size=\"46161920\", alpha=\"0.08\", expect_size=\"23080960\"] \n  8 -> 11 [size =\"23080960\"]\n  8 -> 12 [size =\"23080960\"]\n  8 -> 13 [size =\"23080960\"]\n  9 [size=\"54448128\", alpha=\"0.19\", expect_size=\"27224064\"] \n  9 -> 13 [size =\"27224064\"]\n  10 [size=\"97765376\", alpha=\"0.08\", expect_size=\"48882688\"] \n  10 -> 13 [size =\"48882688\"]\n  11 [size=\"34994176\", alpha=\"0.16\", expect_size=\"17497088\"] \n  11 -> 14 [size =\"17497088\"]\n  11 -> 15 [size =\"17497088\"]\n  11 -> 16 [size =\"17497088\"]\n  12 [size=\"39788544\", alpha=\"0.18\", expect_size=\"19894272\"] \n  12 -> 14 [size =\"19894272\"]\n  13 [size=\"14176256\", alpha=\"0.11\", expect_size=\"7088128\"] \n  13 -> 14 [size =\"7088128\"]\n  13 -> 15 [size =\"7088128\"]\n  14 [size=\"12161024\", alpha=\"0.17\", expect_size=\"6080512\"] \n  14 -> 18 [size =\"6080512\"]\n  15 [size=\"16408576\", alpha=\"0.09\", expect_size=\"8204288\"] \n  15 -> 18 [size =\"8204288\"]\n  16 [size=\"73228288\", alpha=\"0.02\", expect_size=\"36614144\"] \n  16 -> 17 [size =\"36614144\"]\n  16 -> 18 [size =\"36614144\"]\n  16 -> 19 [size =\"36614144\"]\n  17 [size=\"90863616\", alpha=\"0.19\", expect_size=\"45431808\"] \n  17 -> 20 [size =\"45431808\"]\n  18 [size=\"21708800\", alpha=\"0.01\", expect_size=\"10854400\"] \n  18 -> 20 [size =\"10854400\"]\n  19 [size=\"57487360\", alpha=\"0.17\", expect_size=\"28743680\"] \n  20 [size=\"54634496\", alpha=\"0.00\", expect_size=\"27317248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58197333\", alpha=\"0.20\", expect_size=\"17459200\"] \n  1 -> 2 [size =\"17459200\"]\n  2 [size=\"153166507\", alpha=\"0.09\", expect_size=\"45949952\"] \n  2 -> 3 [size =\"45949952\"]\n  3 [size=\"60607147\", alpha=\"0.01\", expect_size=\"18182144\"] \n  3 -> 4 [size =\"18182144\"]\n  4 [size=\"130280107\", alpha=\"0.07\", expect_size=\"39084032\"] \n  4 -> 5 [size =\"39084032\"]\n  5 [size=\"53572267\", alpha=\"0.19\", expect_size=\"16071680\"] \n  5 -> 6 [size =\"16071680\"]\n  6 [size=\"169891840\", alpha=\"0.00\", expect_size=\"50967552\"] \n  6 -> 7 [size =\"50967552\"]\n  7 [size=\"141991253\", alpha=\"0.14\", expect_size=\"42597376\"] \n  7 -> 8 [size =\"42597376\"]\n  8 [size=\"155617280\", alpha=\"0.05\", expect_size=\"46685184\"] \n  8 -> 9 [size =\"46685184\"]\n  9 [size=\"153896960\", alpha=\"0.03\", expect_size=\"46169088\"] \n  9 -> 10 [size =\"46169088\"]\n  10 [size=\"53647360\", alpha=\"0.11\", expect_size=\"16094208\"] \n  10 -> 11 [size =\"16094208\"]\n  11 [size=\"130891093\", alpha=\"0.15\", expect_size=\"39267328\"] \n  11 -> 12 [size =\"39267328\"]\n  12 [size=\"127378773\", alpha=\"0.08\", expect_size=\"38213632\"] \n  12 -> 13 [size =\"38213632\"]\n  13 [size=\"41966933\", alpha=\"0.10\", expect_size=\"12590080\"] \n  13 -> 14 [size =\"12590080\"]\n  14 [size=\"50111147\", alpha=\"0.02\", expect_size=\"15033344\"] \n  14 -> 15 [size =\"15033344\"]\n  15 [size=\"105669973\", alpha=\"0.08\", expect_size=\"31700992\"] \n  15 -> 16 [size =\"31700992\"]\n  16 [size=\"97580373\", alpha=\"0.01\", expect_size=\"29274112\"] \n  16 -> 17 [size =\"29274112\"]\n  17 [size=\"97682773\", alpha=\"0.04\", expect_size=\"29304832\"] \n  17 -> 18 [size =\"29304832\"]\n  18 [size=\"52834987\", alpha=\"0.06\", expect_size=\"15850496\"] \n  18 -> 19 [size =\"15850496\"]\n  19 [size=\"90408960\", alpha=\"0.00\", expect_size=\"27122688\"] \n  19 -> 20 [size =\"27122688\"]\n  20 [size=\"110547627\", alpha=\"0.11\", expect_size=\"33164288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41162240\", alpha=\"0.06\", expect_size=\"16464896\"] \n  1 -> 9 [size =\"16464896\"]\n  1 -> 11 [size =\"16464896\"]\n  1 -> 14 [size =\"16464896\"]\n  2 [size=\"104773120\", alpha=\"0.02\", expect_size=\"41909248\"] \n  2 -> 11 [size =\"41909248\"]\n  2 -> 12 [size =\"41909248\"]\n  2 -> 14 [size =\"41909248\"]\n  3 [size=\"117785600\", alpha=\"0.05\", expect_size=\"47114240\"] \n  3 -> 9 [size =\"47114240\"]\n  3 -> 14 [size =\"47114240\"]\n  3 -> 14 [size =\"47114240\"]\n  4 [size=\"52203520\", alpha=\"0.02\", expect_size=\"20881408\"] \n  4 -> 10 [size =\"20881408\"]\n  5 [size=\"109186560\", alpha=\"0.17\", expect_size=\"43674624\"] \n  5 -> 9 [size =\"43674624\"]\n  5 -> 10 [size =\"43674624\"]\n  5 -> 11 [size =\"43674624\"]\n  5 -> 13 [size =\"43674624\"]\n  6 [size=\"50263040\", alpha=\"0.18\", expect_size=\"20105216\"] \n  6 -> 9 [size =\"20105216\"]\n  6 -> 11 [size =\"20105216\"]\n  6 -> 11 [size =\"20105216\"]\n  6 -> 15 [size =\"20105216\"]\n  7 [size=\"50362880\", alpha=\"0.02\", expect_size=\"20145152\"] \n  7 -> 9 [size =\"20145152\"]\n  7 -> 10 [size =\"20145152\"]\n  7 -> 13 [size =\"20145152\"]\n  7 -> 14 [size =\"20145152\"]\n  8 [size=\"25105920\", alpha=\"0.04\", expect_size=\"10042368\"] \n  8 -> 11 [size =\"10042368\"]\n  8 -> 12 [size =\"10042368\"]\n  8 -> 14 [size =\"10042368\"]\n  8 -> 15 [size =\"10042368\"]\n  9 [size=\"77424640\", alpha=\"0.07\", expect_size=\"30969856\"] \n  9 -> 20 [size =\"30969856\"]\n  10 [size=\"112035840\", alpha=\"0.14\", expect_size=\"44814336\"] \n  10 -> 17 [size =\"44814336\"]\n  10 -> 18 [size =\"44814336\"]\n  11 [size=\"29506560\", alpha=\"0.16\", expect_size=\"11802624\"] \n  11 -> 17 [size =\"11802624\"]\n  11 -> 18 [size =\"11802624\"]\n  12 [size=\"66920960\", alpha=\"0.04\", expect_size=\"26768384\"] \n  12 -> 18 [size =\"26768384\"]\n  12 -> 19 [size =\"26768384\"]\n  12 -> 20 [size =\"26768384\"]\n  13 [size=\"79516160\", alpha=\"0.06\", expect_size=\"31806464\"] \n  13 -> 16 [size =\"31806464\"]\n  14 [size=\"111173120\", alpha=\"0.18\", expect_size=\"44469248\"] \n  14 -> 18 [size =\"44469248\"]\n  14 -> 19 [size =\"44469248\"]\n  14 -> 20 [size =\"44469248\"]\n  15 [size=\"125644800\", alpha=\"0.03\", expect_size=\"50257920\"] \n  15 -> 18 [size =\"50257920\"]\n  16 [size=\"106071040\", alpha=\"0.19\", expect_size=\"42428416\"] \n  17 [size=\"95265280\", alpha=\"0.07\", expect_size=\"38106112\"] \n  18 [size=\"108236800\", alpha=\"0.05\", expect_size=\"43294720\"] \n  19 [size=\"13744640\", alpha=\"0.20\", expect_size=\"5497856\"] \n  20 [size=\"55060480\", alpha=\"0.05\", expect_size=\"22024192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80435200\", alpha=\"0.09\", expect_size=\"24130560\"] \n  1 -> 17 [size =\"24130560\"]\n  1 -> 20 [size =\"24130560\"]\n  2 [size=\"135837013\", alpha=\"0.10\", expect_size=\"40751104\"] \n  2 -> 15 [size =\"40751104\"]\n  2 -> 17 [size =\"40751104\"]\n  2 -> 20 [size =\"40751104\"]\n  3 [size=\"50578773\", alpha=\"0.12\", expect_size=\"15173632\"] \n  3 -> 15 [size =\"15173632\"]\n  3 -> 17 [size =\"15173632\"]\n  3 -> 18 [size =\"15173632\"]\n  4 [size=\"109291520\", alpha=\"0.14\", expect_size=\"32787456\"] \n  4 -> 18 [size =\"32787456\"]\n  5 [size=\"111247360\", alpha=\"0.12\", expect_size=\"33374208\"] \n  5 -> 15 [size =\"33374208\"]\n  6 [size=\"151401813\", alpha=\"0.03\", expect_size=\"45420544\"] \n  6 -> 15 [size =\"45420544\"]\n  6 -> 16 [size =\"45420544\"]\n  7 [size=\"102461440\", alpha=\"0.16\", expect_size=\"30738432\"] \n  7 -> 20 [size =\"30738432\"]\n  8 [size=\"70557013\", alpha=\"0.17\", expect_size=\"21167104\"] \n  8 -> 15 [size =\"21167104\"]\n  8 -> 16 [size =\"21167104\"]\n  8 -> 17 [size =\"21167104\"]\n  9 [size=\"33454080\", alpha=\"0.08\", expect_size=\"10036224\"] \n  9 -> 17 [size =\"10036224\"]\n  10 [size=\"89576107\", alpha=\"0.03\", expect_size=\"26872832\"] \n  11 [size=\"115012267\", alpha=\"0.10\", expect_size=\"34503680\"] \n  11 -> 20 [size =\"34503680\"]\n  12 [size=\"31996587\", alpha=\"0.00\", expect_size=\"9598976\"] \n  12 -> 17 [size =\"9598976\"]\n  12 -> 18 [size =\"9598976\"]\n  12 -> 19 [size =\"9598976\"]\n  12 -> 20 [size =\"9598976\"]\n  13 [size=\"110421333\", alpha=\"0.01\", expect_size=\"33126400\"] \n  13 -> 19 [size =\"33126400\"]\n  13 -> 20 [size =\"33126400\"]\n  14 [size=\"50599253\", alpha=\"0.04\", expect_size=\"15179776\"] \n  14 -> 16 [size =\"15179776\"]\n  14 -> 20 [size =\"15179776\"]\n  15 [size=\"159197867\", alpha=\"0.08\", expect_size=\"47759360\"] \n  16 [size=\"93511680\", alpha=\"0.12\", expect_size=\"28053504\"] \n  17 [size=\"114059947\", alpha=\"0.00\", expect_size=\"34217984\"] \n  18 [size=\"79428267\", alpha=\"0.01\", expect_size=\"23828480\"] \n  19 [size=\"57954987\", alpha=\"0.09\", expect_size=\"17386496\"] \n  20 [size=\"122344107\", alpha=\"0.10\", expect_size=\"36703232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76861440\", alpha=\"0.14\", expect_size=\"38430720\"] \n  1 -> 2 [size =\"38430720\"]\n  2 [size=\"20035584\", alpha=\"0.07\", expect_size=\"10017792\"] \n  2 -> 3 [size =\"10017792\"]\n  3 [size=\"14856192\", alpha=\"0.12\", expect_size=\"7428096\"] \n  3 -> 4 [size =\"7428096\"]\n  4 [size=\"68583424\", alpha=\"0.11\", expect_size=\"34291712\"] \n  4 -> 5 [size =\"34291712\"]\n  5 [size=\"67919872\", alpha=\"0.12\", expect_size=\"33959936\"] \n  5 -> 6 [size =\"33959936\"]\n  6 [size=\"100599808\", alpha=\"0.16\", expect_size=\"50299904\"] \n  6 -> 7 [size =\"50299904\"]\n  7 [size=\"62451712\", alpha=\"0.11\", expect_size=\"31225856\"] \n  7 -> 8 [size =\"31225856\"]\n  8 [size=\"76326912\", alpha=\"0.20\", expect_size=\"38163456\"] \n  8 -> 9 [size =\"38163456\"]\n  9 [size=\"10645504\", alpha=\"0.03\", expect_size=\"5322752\"] \n  9 -> 10 [size =\"5322752\"]\n  10 [size=\"53825536\", alpha=\"0.05\", expect_size=\"26912768\"] \n  10 -> 11 [size =\"26912768\"]\n  11 [size=\"50870272\", alpha=\"0.15\", expect_size=\"25435136\"] \n  11 -> 12 [size =\"25435136\"]\n  12 [size=\"22808576\", alpha=\"0.16\", expect_size=\"11404288\"] \n  12 -> 13 [size =\"11404288\"]\n  13 [size=\"55162880\", alpha=\"0.02\", expect_size=\"27581440\"] \n  13 -> 14 [size =\"27581440\"]\n  14 [size=\"19243008\", alpha=\"0.09\", expect_size=\"9621504\"] \n  14 -> 15 [size =\"9621504\"]\n  15 [size=\"73406464\", alpha=\"0.15\", expect_size=\"36703232\"] \n  15 -> 16 [size =\"36703232\"]\n  16 [size=\"35039232\", alpha=\"0.16\", expect_size=\"17519616\"] \n  16 -> 17 [size =\"17519616\"]\n  17 [size=\"17680384\", alpha=\"0.13\", expect_size=\"8840192\"] \n  17 -> 18 [size =\"8840192\"]\n  18 [size=\"68999168\", alpha=\"0.08\", expect_size=\"34499584\"] \n  18 -> 19 [size =\"34499584\"]\n  19 [size=\"67342336\", alpha=\"0.05\", expect_size=\"33671168\"] \n  19 -> 20 [size =\"33671168\"]\n  20 [size=\"80351232\", alpha=\"0.01\", expect_size=\"40175616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85889707\", alpha=\"0.09\", expect_size=\"25766912\"] \n  1 -> 4 [size =\"25766912\"]\n  1 -> 6 [size =\"25766912\"]\n  1 -> 7 [size =\"25766912\"]\n  2 [size=\"156777813\", alpha=\"0.05\", expect_size=\"47033344\"] \n  2 -> 4 [size =\"47033344\"]\n  2 -> 7 [size =\"47033344\"]\n  3 [size=\"131945813\", alpha=\"0.11\", expect_size=\"39583744\"] \n  3 -> 5 [size =\"39583744\"]\n  4 [size=\"26722987\", alpha=\"0.18\", expect_size=\"8016896\"] \n  4 -> 8 [size =\"8016896\"]\n  5 [size=\"168263680\", alpha=\"0.17\", expect_size=\"50479104\"] \n  5 -> 10 [size =\"50479104\"]\n  6 [size=\"115490133\", alpha=\"0.06\", expect_size=\"34647040\"] \n  6 -> 8 [size =\"34647040\"]\n  6 -> 9 [size =\"34647040\"]\n  7 [size=\"89569280\", alpha=\"0.09\", expect_size=\"26870784\"] \n  7 -> 9 [size =\"26870784\"]\n  8 [size=\"126610773\", alpha=\"0.04\", expect_size=\"37983232\"] \n  8 -> 11 [size =\"37983232\"]\n  8 -> 13 [size =\"37983232\"]\n  8 -> 14 [size =\"37983232\"]\n  9 [size=\"18479787\", alpha=\"0.01\", expect_size=\"5543936\"] \n  9 -> 14 [size =\"5543936\"]\n  10 [size=\"36003840\", alpha=\"0.05\", expect_size=\"10801152\"] \n  10 -> 11 [size =\"10801152\"]\n  10 -> 12 [size =\"10801152\"]\n  11 [size=\"136113493\", alpha=\"0.08\", expect_size=\"40834048\"] \n  11 -> 15 [size =\"40834048\"]\n  11 -> 16 [size =\"40834048\"]\n  11 -> 17 [size =\"40834048\"]\n  12 [size=\"46967467\", alpha=\"0.01\", expect_size=\"14090240\"] \n  12 -> 15 [size =\"14090240\"]\n  12 -> 16 [size =\"14090240\"]\n  13 [size=\"83490133\", alpha=\"0.09\", expect_size=\"25047040\"] \n  14 [size=\"172124160\", alpha=\"0.15\", expect_size=\"51637248\"] \n  14 -> 17 [size =\"51637248\"]\n  15 [size=\"157873493\", alpha=\"0.01\", expect_size=\"47362048\"] \n  15 -> 19 [size =\"47362048\"]\n  15 -> 20 [size =\"47362048\"]\n  16 [size=\"131208533\", alpha=\"0.12\", expect_size=\"39362560\"] \n  16 -> 20 [size =\"39362560\"]\n  17 [size=\"24616960\", alpha=\"0.08\", expect_size=\"7385088\"] \n  17 -> 18 [size =\"7385088\"]\n  17 -> 19 [size =\"7385088\"]\n  18 [size=\"93897387\", alpha=\"0.13\", expect_size=\"28169216\"] \n  19 [size=\"127361707\", alpha=\"0.02\", expect_size=\"38208512\"] \n  20 [size=\"131386027\", alpha=\"0.04\", expect_size=\"39415808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117777067\", alpha=\"0.03\", expect_size=\"35333120\"] \n  1 -> 6 [size =\"35333120\"]\n  2 [size=\"86405120\", alpha=\"0.03\", expect_size=\"25921536\"] \n  3 [size=\"140223147\", alpha=\"0.10\", expect_size=\"42066944\"] \n  3 -> 5 [size =\"42066944\"]\n  4 [size=\"57419093\", alpha=\"0.18\", expect_size=\"17225728\"] \n  4 -> 5 [size =\"17225728\"]\n  4 -> 6 [size =\"17225728\"]\n  4 -> 7 [size =\"17225728\"]\n  5 [size=\"21831680\", alpha=\"0.07\", expect_size=\"6549504\"] \n  5 -> 8 [size =\"6549504\"]\n  5 -> 11 [size =\"6549504\"]\n  6 [size=\"35915093\", alpha=\"0.09\", expect_size=\"10774528\"] \n  7 [size=\"153347413\", alpha=\"0.16\", expect_size=\"46004224\"] \n  7 -> 9 [size =\"46004224\"]\n  7 -> 10 [size =\"46004224\"]\n  8 [size=\"128423253\", alpha=\"0.10\", expect_size=\"38526976\"] \n  8 -> 12 [size =\"38526976\"]\n  8 -> 14 [size =\"38526976\"]\n  8 -> 15 [size =\"38526976\"]\n  9 [size=\"30402560\", alpha=\"0.15\", expect_size=\"9120768\"] \n  10 [size=\"139799893\", alpha=\"0.05\", expect_size=\"41939968\"] \n  10 -> 13 [size =\"41939968\"]\n  11 [size=\"112158720\", alpha=\"0.09\", expect_size=\"33647616\"] \n  11 -> 14 [size =\"33647616\"]\n  12 [size=\"138816853\", alpha=\"0.10\", expect_size=\"41645056\"] \n  13 [size=\"163590827\", alpha=\"0.16\", expect_size=\"49077248\"] \n  13 -> 18 [size =\"49077248\"]\n  13 -> 19 [size =\"49077248\"]\n  14 [size=\"85661013\", alpha=\"0.04\", expect_size=\"25698304\"] \n  14 -> 16 [size =\"25698304\"]\n  14 -> 17 [size =\"25698304\"]\n  14 -> 18 [size =\"25698304\"]\n  15 [size=\"68075520\", alpha=\"0.09\", expect_size=\"20422656\"] \n  15 -> 16 [size =\"20422656\"]\n  15 -> 17 [size =\"20422656\"]\n  16 [size=\"123456853\", alpha=\"0.17\", expect_size=\"37037056\"] \n  17 [size=\"36263253\", alpha=\"0.00\", expect_size=\"10878976\"] \n  17 -> 20 [size =\"10878976\"]\n  18 [size=\"158972587\", alpha=\"0.03\", expect_size=\"47691776\"] \n  18 -> 20 [size =\"47691776\"]\n  19 [size=\"81551360\", alpha=\"0.18\", expect_size=\"24465408\"] \n  20 [size=\"40130560\", alpha=\"0.11\", expect_size=\"12039168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151511040\", alpha=\"0.16\", expect_size=\"45453312\"] \n  1 -> 7 [size =\"45453312\"]\n  2 [size=\"49349973\", alpha=\"0.03\", expect_size=\"14804992\"] \n  2 -> 5 [size =\"14804992\"]\n  2 -> 6 [size =\"14804992\"]\n  3 [size=\"170963627\", alpha=\"0.18\", expect_size=\"51289088\"] \n  3 -> 5 [size =\"51289088\"]\n  3 -> 6 [size =\"51289088\"]\n  4 [size=\"59241813\", alpha=\"0.09\", expect_size=\"17772544\"] \n  4 -> 5 [size =\"17772544\"]\n  4 -> 6 [size =\"17772544\"]\n  4 -> 7 [size =\"17772544\"]\n  5 [size=\"147623253\", alpha=\"0.14\", expect_size=\"44286976\"] \n  5 -> 9 [size =\"44286976\"]\n  5 -> 10 [size =\"44286976\"]\n  6 [size=\"38642347\", alpha=\"0.18\", expect_size=\"11592704\"] \n  6 -> 8 [size =\"11592704\"]\n  6 -> 9 [size =\"11592704\"]\n  7 [size=\"152852480\", alpha=\"0.06\", expect_size=\"45855744\"] \n  7 -> 9 [size =\"45855744\"]\n  8 [size=\"45967360\", alpha=\"0.05\", expect_size=\"13790208\"] \n  8 -> 12 [size =\"13790208\"]\n  8 -> 14 [size =\"13790208\"]\n  9 [size=\"124122453\", alpha=\"0.11\", expect_size=\"37236736\"] \n  9 -> 11 [size =\"37236736\"]\n  9 -> 12 [size =\"37236736\"]\n  9 -> 13 [size =\"37236736\"]\n  9 -> 14 [size =\"37236736\"]\n  10 [size=\"138407253\", alpha=\"0.14\", expect_size=\"41522176\"] \n  10 -> 11 [size =\"41522176\"]\n  10 -> 13 [size =\"41522176\"]\n  10 -> 14 [size =\"41522176\"]\n  11 [size=\"85678080\", alpha=\"0.05\", expect_size=\"25703424\"] \n  11 -> 15 [size =\"25703424\"]\n  12 [size=\"50435413\", alpha=\"0.09\", expect_size=\"15130624\"] \n  12 -> 15 [size =\"15130624\"]\n  12 -> 17 [size =\"15130624\"]\n  13 [size=\"72267093\", alpha=\"0.01\", expect_size=\"21680128\"] \n  13 -> 16 [size =\"21680128\"]\n  14 [size=\"54207147\", alpha=\"0.19\", expect_size=\"16262144\"] \n  15 [size=\"124525227\", alpha=\"0.13\", expect_size=\"37357568\"] \n  15 -> 19 [size =\"37357568\"]\n  15 -> 20 [size =\"37357568\"]\n  16 [size=\"79127893\", alpha=\"0.02\", expect_size=\"23738368\"] \n  16 -> 19 [size =\"23738368\"]\n  16 -> 20 [size =\"23738368\"]\n  17 [size=\"65710080\", alpha=\"0.05\", expect_size=\"19713024\"] \n  17 -> 18 [size =\"19713024\"]\n  17 -> 19 [size =\"19713024\"]\n  18 [size=\"114592427\", alpha=\"0.15\", expect_size=\"34377728\"] \n  19 [size=\"152616960\", alpha=\"0.17\", expect_size=\"45785088\"] \n  20 [size=\"80295253\", alpha=\"0.12\", expect_size=\"24088576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90836480\", alpha=\"0.11\", expect_size=\"36334592\"] \n  1 -> 4 [size =\"36334592\"]\n  1 -> 7 [size =\"36334592\"]\n  2 [size=\"78812160\", alpha=\"0.11\", expect_size=\"31524864\"] \n  2 -> 6 [size =\"31524864\"]\n  2 -> 7 [size =\"31524864\"]\n  3 [size=\"16931840\", alpha=\"0.11\", expect_size=\"6772736\"] \n  3 -> 5 [size =\"6772736\"]\n  3 -> 6 [size =\"6772736\"]\n  4 [size=\"69731840\", alpha=\"0.09\", expect_size=\"27892736\"] \n  4 -> 10 [size =\"27892736\"]\n  5 [size=\"113026560\", alpha=\"0.09\", expect_size=\"45210624\"] \n  5 -> 8 [size =\"45210624\"]\n  6 [size=\"40634880\", alpha=\"0.11\", expect_size=\"16253952\"] \n  6 -> 10 [size =\"16253952\"]\n  7 [size=\"121518080\", alpha=\"0.07\", expect_size=\"48607232\"] \n  7 -> 9 [size =\"48607232\"]\n  7 -> 11 [size =\"48607232\"]\n  8 [size=\"82222080\", alpha=\"0.17\", expect_size=\"32888832\"] \n  8 -> 12 [size =\"32888832\"]\n  8 -> 15 [size =\"32888832\"]\n  9 [size=\"41287680\", alpha=\"0.10\", expect_size=\"16515072\"] \n  10 [size=\"125744640\", alpha=\"0.01\", expect_size=\"50297856\"] \n  10 -> 13 [size =\"50297856\"]\n  10 -> 14 [size =\"50297856\"]\n  11 [size=\"75870720\", alpha=\"0.17\", expect_size=\"30348288\"] \n  11 -> 14 [size =\"30348288\"]\n  12 [size=\"21985280\", alpha=\"0.10\", expect_size=\"8794112\"] \n  12 -> 18 [size =\"8794112\"]\n  12 -> 19 [size =\"8794112\"]\n  13 [size=\"87447040\", alpha=\"0.00\", expect_size=\"34978816\"] \n  13 -> 16 [size =\"34978816\"]\n  13 -> 18 [size =\"34978816\"]\n  14 [size=\"33850880\", alpha=\"0.14\", expect_size=\"13540352\"] \n  14 -> 17 [size =\"13540352\"]\n  15 [size=\"85399040\", alpha=\"0.06\", expect_size=\"34159616\"] \n  15 -> 17 [size =\"34159616\"]\n  15 -> 19 [size =\"34159616\"]\n  16 [size=\"23403520\", alpha=\"0.06\", expect_size=\"9361408\"] \n  17 [size=\"89960960\", alpha=\"0.10\", expect_size=\"35984384\"] \n  17 -> 20 [size =\"35984384\"]\n  18 [size=\"14499840\", alpha=\"0.10\", expect_size=\"5799936\"] \n  19 [size=\"113784320\", alpha=\"0.17\", expect_size=\"45513728\"] \n  20 [size=\"52669440\", alpha=\"0.19\", expect_size=\"21067776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64826880\", alpha=\"0.10\", expect_size=\"25930752\"] \n  1 -> 8 [size =\"25930752\"]\n  1 -> 10 [size =\"25930752\"]\n  1 -> 14 [size =\"25930752\"]\n  2 [size=\"117680640\", alpha=\"0.03\", expect_size=\"47072256\"] \n  2 -> 11 [size =\"47072256\"]\n  2 -> 12 [size =\"47072256\"]\n  2 -> 14 [size =\"47072256\"]\n  3 [size=\"99566080\", alpha=\"0.18\", expect_size=\"39826432\"] \n  3 -> 10 [size =\"39826432\"]\n  3 -> 12 [size =\"39826432\"]\n  3 -> 14 [size =\"39826432\"]\n  4 [size=\"112540160\", alpha=\"0.01\", expect_size=\"45016064\"] \n  4 -> 8 [size =\"45016064\"]\n  4 -> 10 [size =\"45016064\"]\n  5 [size=\"120296960\", alpha=\"0.10\", expect_size=\"48118784\"] \n  5 -> 13 [size =\"48118784\"]\n  5 -> 14 [size =\"48118784\"]\n  6 [size=\"41978880\", alpha=\"0.13\", expect_size=\"16791552\"] \n  6 -> 9 [size =\"16791552\"]\n  7 [size=\"114007040\", alpha=\"0.06\", expect_size=\"45602816\"] \n  7 -> 10 [size =\"45602816\"]\n  8 [size=\"59627520\", alpha=\"0.06\", expect_size=\"23851008\"] \n  8 -> 15 [size =\"23851008\"]\n  8 -> 16 [size =\"23851008\"]\n  8 -> 20 [size =\"23851008\"]\n  9 [size=\"130618880\", alpha=\"0.20\", expect_size=\"52247552\"] \n  10 [size=\"130350080\", alpha=\"0.09\", expect_size=\"52140032\"] \n  10 -> 15 [size =\"52140032\"]\n  10 -> 17 [size =\"52140032\"]\n  11 [size=\"50790400\", alpha=\"0.18\", expect_size=\"20316160\"] \n  11 -> 19 [size =\"20316160\"]\n  12 [size=\"112606720\", alpha=\"0.16\", expect_size=\"45042688\"] \n  12 -> 18 [size =\"45042688\"]\n  13 [size=\"13555200\", alpha=\"0.20\", expect_size=\"5422080\"] \n  13 -> 15 [size =\"5422080\"]\n  13 -> 16 [size =\"5422080\"]\n  13 -> 17 [size =\"5422080\"]\n  14 [size=\"118082560\", alpha=\"0.02\", expect_size=\"47233024\"] \n  14 -> 15 [size =\"47233024\"]\n  14 -> 16 [size =\"47233024\"]\n  14 -> 17 [size =\"47233024\"]\n  14 -> 19 [size =\"47233024\"]\n  14 -> 20 [size =\"47233024\"]\n  15 [size=\"122521600\", alpha=\"0.03\", expect_size=\"49008640\"] \n  16 [size=\"60707840\", alpha=\"0.01\", expect_size=\"24283136\"] \n  17 [size=\"17256960\", alpha=\"0.20\", expect_size=\"6902784\"] \n  18 [size=\"55168000\", alpha=\"0.14\", expect_size=\"22067200\"] \n  19 [size=\"90278400\", alpha=\"0.08\", expect_size=\"36111360\"] \n  20 [size=\"89164800\", alpha=\"0.03\", expect_size=\"35665920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29429760\", alpha=\"0.09\", expect_size=\"8828928\"] \n  1 -> 10 [size =\"8828928\"]\n  1 -> 11 [size =\"8828928\"]\n  1 -> 15 [size =\"8828928\"]\n  2 [size=\"34075307\", alpha=\"0.05\", expect_size=\"10222592\"] \n  2 -> 10 [size =\"10222592\"]\n  2 -> 15 [size =\"10222592\"]\n  3 [size=\"158853120\", alpha=\"0.14\", expect_size=\"47655936\"] \n  3 -> 8 [size =\"47655936\"]\n  3 -> 9 [size =\"47655936\"]\n  3 -> 15 [size =\"47655936\"]\n  4 [size=\"39755093\", alpha=\"0.10\", expect_size=\"11926528\"] \n  4 -> 9 [size =\"11926528\"]\n  4 -> 11 [size =\"11926528\"]\n  5 [size=\"147005440\", alpha=\"0.10\", expect_size=\"44101632\"] \n  5 -> 9 [size =\"44101632\"]\n  6 [size=\"115968000\", alpha=\"0.05\", expect_size=\"34790400\"] \n  6 -> 8 [size =\"34790400\"]\n  7 [size=\"168164693\", alpha=\"0.11\", expect_size=\"50449408\"] \n  7 -> 9 [size =\"50449408\"]\n  7 -> 12 [size =\"50449408\"]\n  7 -> 13 [size =\"50449408\"]\n  7 -> 14 [size =\"50449408\"]\n  7 -> 15 [size =\"50449408\"]\n  8 [size=\"72034987\", alpha=\"0.04\", expect_size=\"21610496\"] \n  8 -> 17 [size =\"21610496\"]\n  8 -> 20 [size =\"21610496\"]\n  9 [size=\"155777707\", alpha=\"0.12\", expect_size=\"46733312\"] \n  9 -> 17 [size =\"46733312\"]\n  9 -> 19 [size =\"46733312\"]\n  10 [size=\"130177707\", alpha=\"0.08\", expect_size=\"39053312\"] \n  10 -> 16 [size =\"39053312\"]\n  10 -> 18 [size =\"39053312\"]\n  10 -> 19 [size =\"39053312\"]\n  11 [size=\"118985387\", alpha=\"0.04\", expect_size=\"35695616\"] \n  12 [size=\"34549760\", alpha=\"0.13\", expect_size=\"10364928\"] \n  12 -> 19 [size =\"10364928\"]\n  13 [size=\"76721493\", alpha=\"0.07\", expect_size=\"23016448\"] \n  13 -> 18 [size =\"23016448\"]\n  14 [size=\"30460587\", alpha=\"0.02\", expect_size=\"9138176\"] \n  14 -> 16 [size =\"9138176\"]\n  14 -> 17 [size =\"9138176\"]\n  14 -> 18 [size =\"9138176\"]\n  14 -> 19 [size =\"9138176\"]\n  15 [size=\"111595520\", alpha=\"0.10\", expect_size=\"33478656\"] \n  15 -> 16 [size =\"33478656\"]\n  15 -> 17 [size =\"33478656\"]\n  15 -> 18 [size =\"33478656\"]\n  15 -> 20 [size =\"33478656\"]\n  16 [size=\"32672427\", alpha=\"0.05\", expect_size=\"9801728\"] \n  17 [size=\"74905600\", alpha=\"0.01\", expect_size=\"22471680\"] \n  18 [size=\"162010453\", alpha=\"0.04\", expect_size=\"48603136\"] \n  19 [size=\"36959573\", alpha=\"0.01\", expect_size=\"11087872\"] \n  20 [size=\"131819520\", alpha=\"0.04\", expect_size=\"39545856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81612800\", alpha=\"0.14\", expect_size=\"24483840\"] \n  1 -> 2 [size =\"24483840\"]\n  2 [size=\"141701120\", alpha=\"0.02\", expect_size=\"42510336\"] \n  2 -> 3 [size =\"42510336\"]\n  3 [size=\"114582187\", alpha=\"0.10\", expect_size=\"34374656\"] \n  3 -> 4 [size =\"34374656\"]\n  4 [size=\"131150507\", alpha=\"0.01\", expect_size=\"39345152\"] \n  4 -> 5 [size =\"39345152\"]\n  5 [size=\"149729280\", alpha=\"0.15\", expect_size=\"44918784\"] \n  5 -> 6 [size =\"44918784\"]\n  6 [size=\"99392853\", alpha=\"0.12\", expect_size=\"29817856\"] \n  6 -> 7 [size =\"29817856\"]\n  7 [size=\"26763947\", alpha=\"0.13\", expect_size=\"8029184\"] \n  7 -> 8 [size =\"8029184\"]\n  8 [size=\"63341227\", alpha=\"0.12\", expect_size=\"19002368\"] \n  8 -> 9 [size =\"19002368\"]\n  9 [size=\"33607680\", alpha=\"0.07\", expect_size=\"10082304\"] \n  9 -> 10 [size =\"10082304\"]\n  10 [size=\"153292800\", alpha=\"0.07\", expect_size=\"45987840\"] \n  10 -> 11 [size =\"45987840\"]\n  11 [size=\"85995520\", alpha=\"0.08\", expect_size=\"25798656\"] \n  11 -> 12 [size =\"25798656\"]\n  12 [size=\"40878080\", alpha=\"0.04\", expect_size=\"12263424\"] \n  12 -> 13 [size =\"12263424\"]\n  13 [size=\"58955093\", alpha=\"0.09\", expect_size=\"17686528\"] \n  13 -> 14 [size =\"17686528\"]\n  14 [size=\"140683947\", alpha=\"0.18\", expect_size=\"42205184\"] \n  14 -> 15 [size =\"42205184\"]\n  15 [size=\"148968107\", alpha=\"0.17\", expect_size=\"44690432\"] \n  15 -> 16 [size =\"44690432\"]\n  16 [size=\"112302080\", alpha=\"0.05\", expect_size=\"33690624\"] \n  16 -> 17 [size =\"33690624\"]\n  17 [size=\"48114347\", alpha=\"0.20\", expect_size=\"14434304\"] \n  17 -> 18 [size =\"14434304\"]\n  18 [size=\"151442773\", alpha=\"0.15\", expect_size=\"45432832\"] \n  18 -> 19 [size =\"45432832\"]\n  19 [size=\"88104960\", alpha=\"0.10\", expect_size=\"26431488\"] \n  19 -> 20 [size =\"26431488\"]\n  20 [size=\"140851200\", alpha=\"0.06\", expect_size=\"42255360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63348736\", alpha=\"0.03\", expect_size=\"31674368\"] \n  1 -> 2 [size =\"31674368\"]\n  2 [size=\"14352384\", alpha=\"0.02\", expect_size=\"7176192\"] \n  2 -> 3 [size =\"7176192\"]\n  3 [size=\"62138368\", alpha=\"0.14\", expect_size=\"31069184\"] \n  3 -> 4 [size =\"31069184\"]\n  4 [size=\"91885568\", alpha=\"0.19\", expect_size=\"45942784\"] \n  4 -> 5 [size =\"45942784\"]\n  5 [size=\"39634944\", alpha=\"0.17\", expect_size=\"19817472\"] \n  5 -> 6 [size =\"19817472\"]\n  6 [size=\"44396544\", alpha=\"0.08\", expect_size=\"22198272\"] \n  6 -> 7 [size =\"22198272\"]\n  7 [size=\"56778752\", alpha=\"0.12\", expect_size=\"28389376\"] \n  7 -> 8 [size =\"28389376\"]\n  8 [size=\"33652736\", alpha=\"0.17\", expect_size=\"16826368\"] \n  8 -> 9 [size =\"16826368\"]\n  9 [size=\"25982976\", alpha=\"0.11\", expect_size=\"12991488\"] \n  9 -> 10 [size =\"12991488\"]\n  10 [size=\"85366784\", alpha=\"0.19\", expect_size=\"42683392\"] \n  10 -> 11 [size =\"42683392\"]\n  11 [size=\"76122112\", alpha=\"0.12\", expect_size=\"38061056\"] \n  11 -> 12 [size =\"38061056\"]\n  12 [size=\"88049664\", alpha=\"0.07\", expect_size=\"44024832\"] \n  12 -> 13 [size =\"44024832\"]\n  13 [size=\"95864832\", alpha=\"0.11\", expect_size=\"47932416\"] \n  13 -> 14 [size =\"47932416\"]\n  14 [size=\"69058560\", alpha=\"0.14\", expect_size=\"34529280\"] \n  14 -> 15 [size =\"34529280\"]\n  15 [size=\"66060288\", alpha=\"0.01\", expect_size=\"33030144\"] \n  15 -> 16 [size =\"33030144\"]\n  16 [size=\"49600512\", alpha=\"0.14\", expect_size=\"24800256\"] \n  16 -> 17 [size =\"24800256\"]\n  17 [size=\"85110784\", alpha=\"0.18\", expect_size=\"42555392\"] \n  17 -> 18 [size =\"42555392\"]\n  18 [size=\"48781312\", alpha=\"0.08\", expect_size=\"24390656\"] \n  18 -> 19 [size =\"24390656\"]\n  19 [size=\"35889152\", alpha=\"0.08\", expect_size=\"17944576\"] \n  19 -> 20 [size =\"17944576\"]\n  20 [size=\"85633024\", alpha=\"0.19\", expect_size=\"42816512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35977216\", alpha=\"0.02\", expect_size=\"17988608\"] \n  2 [size=\"95901696\", alpha=\"0.04\", expect_size=\"47950848\"] \n  2 -> 4 [size =\"47950848\"]\n  2 -> 5 [size =\"47950848\"]\n  2 -> 6 [size =\"47950848\"]\n  3 [size=\"14960640\", alpha=\"0.19\", expect_size=\"7480320\"] \n  3 -> 4 [size =\"7480320\"]\n  3 -> 5 [size =\"7480320\"]\n  3 -> 6 [size =\"7480320\"]\n  4 [size=\"17936384\", alpha=\"0.12\", expect_size=\"8968192\"] \n  4 -> 9 [size =\"8968192\"]\n  4 -> 10 [size =\"8968192\"]\n  5 [size=\"84379648\", alpha=\"0.04\", expect_size=\"42189824\"] \n  5 -> 10 [size =\"42189824\"]\n  6 [size=\"84170752\", alpha=\"0.16\", expect_size=\"42085376\"] \n  6 -> 7 [size =\"42085376\"]\n  6 -> 8 [size =\"42085376\"]\n  6 -> 9 [size =\"42085376\"]\n  7 [size=\"78581760\", alpha=\"0.19\", expect_size=\"39290880\"] \n  7 -> 12 [size =\"39290880\"]\n  7 -> 13 [size =\"39290880\"]\n  8 [size=\"62306304\", alpha=\"0.20\", expect_size=\"31153152\"] \n  8 -> 11 [size =\"31153152\"]\n  8 -> 12 [size =\"31153152\"]\n  9 [size=\"49090560\", alpha=\"0.05\", expect_size=\"24545280\"] \n  9 -> 11 [size =\"24545280\"]\n  9 -> 12 [size =\"24545280\"]\n  9 -> 13 [size =\"24545280\"]\n  9 -> 14 [size =\"24545280\"]\n  10 [size=\"24940544\", alpha=\"0.03\", expect_size=\"12470272\"] \n  10 -> 14 [size =\"12470272\"]\n  11 [size=\"52062208\", alpha=\"0.18\", expect_size=\"26031104\"] \n  11 -> 16 [size =\"26031104\"]\n  11 -> 18 [size =\"26031104\"]\n  12 [size=\"61530112\", alpha=\"0.03\", expect_size=\"30765056\"] \n  12 -> 15 [size =\"30765056\"]\n  12 -> 16 [size =\"30765056\"]\n  12 -> 17 [size =\"30765056\"]\n  12 -> 18 [size =\"30765056\"]\n  13 [size=\"78182400\", alpha=\"0.14\", expect_size=\"39091200\"] \n  13 -> 15 [size =\"39091200\"]\n  13 -> 16 [size =\"39091200\"]\n  13 -> 17 [size =\"39091200\"]\n  14 [size=\"74842112\", alpha=\"0.13\", expect_size=\"37421056\"] \n  14 -> 15 [size =\"37421056\"]\n  14 -> 17 [size =\"37421056\"]\n  15 [size=\"35475456\", alpha=\"0.18\", expect_size=\"17737728\"] \n  15 -> 19 [size =\"17737728\"]\n  15 -> 20 [size =\"17737728\"]\n  16 [size=\"54501376\", alpha=\"0.18\", expect_size=\"27250688\"] \n  16 -> 20 [size =\"27250688\"]\n  17 [size=\"33671168\", alpha=\"0.19\", expect_size=\"16835584\"] \n  18 [size=\"30089216\", alpha=\"0.17\", expect_size=\"15044608\"] \n  18 -> 19 [size =\"15044608\"]\n  19 [size=\"28610560\", alpha=\"0.04\", expect_size=\"14305280\"] \n  20 [size=\"52715520\", alpha=\"0.11\", expect_size=\"26357760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79816704\", alpha=\"0.16\", expect_size=\"39908352\"] \n  1 -> 7 [size =\"39908352\"]\n  2 [size=\"78262272\", alpha=\"0.16\", expect_size=\"39131136\"] \n  2 -> 5 [size =\"39131136\"]\n  2 -> 6 [size =\"39131136\"]\n  2 -> 7 [size =\"39131136\"]\n  2 -> 8 [size =\"39131136\"]\n  3 [size=\"58490880\", alpha=\"0.13\", expect_size=\"29245440\"] \n  4 [size=\"53719040\", alpha=\"0.17\", expect_size=\"26859520\"] \n  4 -> 6 [size =\"26859520\"]\n  4 -> 7 [size =\"26859520\"]\n  5 [size=\"22188032\", alpha=\"0.01\", expect_size=\"11094016\"] \n  5 -> 9 [size =\"11094016\"]\n  5 -> 10 [size =\"11094016\"]\n  5 -> 12 [size =\"11094016\"]\n  6 [size=\"91807744\", alpha=\"0.09\", expect_size=\"45903872\"] \n  6 -> 10 [size =\"45903872\"]\n  6 -> 11 [size =\"45903872\"]\n  6 -> 12 [size =\"45903872\"]\n  6 -> 13 [size =\"45903872\"]\n  7 [size=\"61468672\", alpha=\"0.10\", expect_size=\"30734336\"] \n  8 [size=\"48640000\", alpha=\"0.12\", expect_size=\"24320000\"] \n  8 -> 12 [size =\"24320000\"]\n  8 -> 13 [size =\"24320000\"]\n  9 [size=\"23654400\", alpha=\"0.06\", expect_size=\"11827200\"] \n  9 -> 15 [size =\"11827200\"]\n  9 -> 16 [size =\"11827200\"]\n  9 -> 17 [size =\"11827200\"]\n  10 [size=\"80560128\", alpha=\"0.19\", expect_size=\"40280064\"] \n  10 -> 14 [size =\"40280064\"]\n  10 -> 16 [size =\"40280064\"]\n  11 [size=\"13715456\", alpha=\"0.09\", expect_size=\"6857728\"] \n  11 -> 14 [size =\"6857728\"]\n  11 -> 15 [size =\"6857728\"]\n  12 [size=\"90839040\", alpha=\"0.00\", expect_size=\"45419520\"] \n  12 -> 16 [size =\"45419520\"]\n  13 [size=\"71944192\", alpha=\"0.17\", expect_size=\"35972096\"] \n  13 -> 17 [size =\"35972096\"]\n  14 [size=\"37392384\", alpha=\"0.08\", expect_size=\"18696192\"] \n  14 -> 18 [size =\"18696192\"]\n  14 -> 19 [size =\"18696192\"]\n  15 [size=\"24653824\", alpha=\"0.11\", expect_size=\"12326912\"] \n  16 [size=\"30339072\", alpha=\"0.19\", expect_size=\"15169536\"] \n  17 [size=\"72820736\", alpha=\"0.03\", expect_size=\"36410368\"] \n  17 -> 18 [size =\"36410368\"]\n  17 -> 19 [size =\"36410368\"]\n  17 -> 20 [size =\"36410368\"]\n  18 [size=\"27000832\", alpha=\"0.02\", expect_size=\"13500416\"] \n  19 [size=\"83873792\", alpha=\"0.06\", expect_size=\"41936896\"] \n  20 [size=\"16945152\", alpha=\"0.06\", expect_size=\"8472576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61006507\", alpha=\"0.13\", expect_size=\"18301952\"] \n  1 -> 8 [size =\"18301952\"]\n  1 -> 14 [size =\"18301952\"]\n  2 [size=\"129966080\", alpha=\"0.06\", expect_size=\"38989824\"] \n  2 -> 9 [size =\"38989824\"]\n  2 -> 10 [size =\"38989824\"]\n  2 -> 13 [size =\"38989824\"]\n  2 -> 14 [size =\"38989824\"]\n  3 [size=\"134625280\", alpha=\"0.07\", expect_size=\"40387584\"] \n  3 -> 9 [size =\"40387584\"]\n  3 -> 12 [size =\"40387584\"]\n  3 -> 13 [size =\"40387584\"]\n  4 [size=\"120299520\", alpha=\"0.09\", expect_size=\"36089856\"] \n  4 -> 9 [size =\"36089856\"]\n  4 -> 11 [size =\"36089856\"]\n  4 -> 13 [size =\"36089856\"]\n  5 [size=\"83322880\", alpha=\"0.13\", expect_size=\"24996864\"] \n  5 -> 11 [size =\"24996864\"]\n  6 [size=\"26490880\", alpha=\"0.10\", expect_size=\"7947264\"] \n  6 -> 9 [size =\"7947264\"]\n  6 -> 13 [size =\"7947264\"]\n  7 [size=\"96034133\", alpha=\"0.15\", expect_size=\"28810240\"] \n  8 [size=\"39819947\", alpha=\"0.16\", expect_size=\"11945984\"] \n  8 -> 16 [size =\"11945984\"]\n  8 -> 18 [size =\"11945984\"]\n  8 -> 18 [size =\"11945984\"]\n  8 -> 20 [size =\"11945984\"]\n  9 [size=\"148602880\", alpha=\"0.15\", expect_size=\"44580864\"] \n  9 -> 20 [size =\"44580864\"]\n  10 [size=\"76666880\", alpha=\"0.04\", expect_size=\"23000064\"] \n  10 -> 16 [size =\"23000064\"]\n  10 -> 19 [size =\"23000064\"]\n  11 [size=\"148292267\", alpha=\"0.17\", expect_size=\"44487680\"] \n  12 [size=\"96651947\", alpha=\"0.15\", expect_size=\"28995584\"] \n  12 -> 16 [size =\"28995584\"]\n  12 -> 17 [size =\"28995584\"]\n  12 -> 20 [size =\"28995584\"]\n  13 [size=\"147568640\", alpha=\"0.01\", expect_size=\"44270592\"] \n  13 -> 15 [size =\"44270592\"]\n  13 -> 18 [size =\"44270592\"]\n  13 -> 20 [size =\"44270592\"]\n  14 [size=\"41564160\", alpha=\"0.06\", expect_size=\"12469248\"] \n  14 -> 15 [size =\"12469248\"]\n  14 -> 16 [size =\"12469248\"]\n  14 -> 18 [size =\"12469248\"]\n  15 [size=\"109776213\", alpha=\"0.20\", expect_size=\"32932864\"] \n  16 [size=\"53708800\", alpha=\"0.07\", expect_size=\"16112640\"] \n  17 [size=\"131682987\", alpha=\"0.04\", expect_size=\"39504896\"] \n  18 [size=\"95481173\", alpha=\"0.04\", expect_size=\"28644352\"] \n  19 [size=\"65416533\", alpha=\"0.09\", expect_size=\"19624960\"] \n  20 [size=\"26009600\", alpha=\"0.02\", expect_size=\"7802880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79324160\", alpha=\"0.00\", expect_size=\"31729664\"] \n  1 -> 13 [size =\"31729664\"]\n  1 -> 14 [size =\"31729664\"]\n  2 [size=\"26539520\", alpha=\"0.20\", expect_size=\"10615808\"] \n  2 -> 13 [size =\"10615808\"]\n  3 [size=\"123407360\", alpha=\"0.17\", expect_size=\"49362944\"] \n  3 -> 13 [size =\"49362944\"]\n  3 -> 14 [size =\"49362944\"]\n  3 -> 15 [size =\"49362944\"]\n  3 -> 18 [size =\"49362944\"]\n  4 [size=\"30784000\", alpha=\"0.07\", expect_size=\"12313600\"] \n  4 -> 13 [size =\"12313600\"]\n  4 -> 16 [size =\"12313600\"]\n  4 -> 19 [size =\"12313600\"]\n  5 [size=\"121228800\", alpha=\"0.12\", expect_size=\"48491520\"] \n  5 -> 13 [size =\"48491520\"]\n  5 -> 14 [size =\"48491520\"]\n  5 -> 16 [size =\"48491520\"]\n  6 [size=\"33303040\", alpha=\"0.04\", expect_size=\"13321216\"] \n  6 -> 14 [size =\"13321216\"]\n  6 -> 15 [size =\"13321216\"]\n  6 -> 17 [size =\"13321216\"]\n  6 -> 18 [size =\"13321216\"]\n  6 -> 19 [size =\"13321216\"]\n  7 [size=\"88488960\", alpha=\"0.15\", expect_size=\"35395584\"] \n  8 [size=\"14269440\", alpha=\"0.08\", expect_size=\"5707776\"] \n  8 -> 13 [size =\"5707776\"]\n  8 -> 16 [size =\"5707776\"]\n  8 -> 18 [size =\"5707776\"]\n  8 -> 20 [size =\"5707776\"]\n  9 [size=\"98664960\", alpha=\"0.09\", expect_size=\"39465984\"] \n  9 -> 19 [size =\"39465984\"]\n  10 [size=\"116088320\", alpha=\"0.12\", expect_size=\"46435328\"] \n  10 -> 15 [size =\"46435328\"]\n  10 -> 16 [size =\"46435328\"]\n  11 [size=\"27709440\", alpha=\"0.20\", expect_size=\"11083776\"] \n  11 -> 19 [size =\"11083776\"]\n  12 [size=\"30371840\", alpha=\"0.19\", expect_size=\"12148736\"] \n  12 -> 16 [size =\"12148736\"]\n  12 -> 18 [size =\"12148736\"]\n  13 [size=\"29342720\", alpha=\"0.17\", expect_size=\"11737088\"] \n  14 [size=\"127329280\", alpha=\"0.06\", expect_size=\"50931712\"] \n  15 [size=\"48645120\", alpha=\"0.03\", expect_size=\"19458048\"] \n  16 [size=\"117345280\", alpha=\"0.02\", expect_size=\"46938112\"] \n  17 [size=\"22658560\", alpha=\"0.14\", expect_size=\"9063424\"] \n  18 [size=\"111116800\", alpha=\"0.06\", expect_size=\"44446720\"] \n  19 [size=\"42542080\", alpha=\"0.11\", expect_size=\"17016832\"] \n  20 [size=\"96586240\", alpha=\"0.03\", expect_size=\"38634496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84492288\", alpha=\"0.13\", expect_size=\"42246144\"] \n  1 -> 2 [size =\"42246144\"]\n  2 [size=\"34361344\", alpha=\"0.17\", expect_size=\"17180672\"] \n  2 -> 3 [size =\"17180672\"]\n  3 [size=\"71471104\", alpha=\"0.03\", expect_size=\"35735552\"] \n  3 -> 4 [size =\"35735552\"]\n  4 [size=\"10731520\", alpha=\"0.19\", expect_size=\"5365760\"] \n  4 -> 5 [size =\"5365760\"]\n  5 [size=\"18042880\", alpha=\"0.11\", expect_size=\"9021440\"] \n  5 -> 6 [size =\"9021440\"]\n  6 [size=\"54953984\", alpha=\"0.14\", expect_size=\"27476992\"] \n  6 -> 7 [size =\"27476992\"]\n  7 [size=\"15480832\", alpha=\"0.15\", expect_size=\"7740416\"] \n  7 -> 8 [size =\"7740416\"]\n  8 [size=\"48492544\", alpha=\"0.01\", expect_size=\"24246272\"] \n  8 -> 9 [size =\"24246272\"]\n  9 [size=\"42496000\", alpha=\"0.06\", expect_size=\"21248000\"] \n  9 -> 10 [size =\"21248000\"]\n  10 [size=\"37318656\", alpha=\"0.02\", expect_size=\"18659328\"] \n  10 -> 11 [size =\"18659328\"]\n  11 [size=\"86388736\", alpha=\"0.17\", expect_size=\"43194368\"] \n  11 -> 12 [size =\"43194368\"]\n  12 [size=\"53704704\", alpha=\"0.08\", expect_size=\"26852352\"] \n  12 -> 13 [size =\"26852352\"]\n  13 [size=\"41854976\", alpha=\"0.10\", expect_size=\"20927488\"] \n  13 -> 14 [size =\"20927488\"]\n  14 [size=\"54968320\", alpha=\"0.07\", expect_size=\"27484160\"] \n  14 -> 15 [size =\"27484160\"]\n  15 [size=\"52477952\", alpha=\"0.07\", expect_size=\"26238976\"] \n  15 -> 16 [size =\"26238976\"]\n  16 [size=\"102522880\", alpha=\"0.18\", expect_size=\"51261440\"] \n  16 -> 17 [size =\"51261440\"]\n  17 [size=\"73179136\", alpha=\"0.00\", expect_size=\"36589568\"] \n  17 -> 18 [size =\"36589568\"]\n  18 [size=\"51660800\", alpha=\"0.12\", expect_size=\"25830400\"] \n  18 -> 19 [size =\"25830400\"]\n  19 [size=\"54523904\", alpha=\"0.12\", expect_size=\"27261952\"] \n  19 -> 20 [size =\"27261952\"]\n  20 [size=\"81600512\", alpha=\"0.05\", expect_size=\"40800256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93384704\", alpha=\"0.15\", expect_size=\"46692352\"] \n  1 -> 2 [size =\"46692352\"]\n  2 [size=\"56465408\", alpha=\"0.01\", expect_size=\"28232704\"] \n  2 -> 3 [size =\"28232704\"]\n  2 -> 4 [size =\"28232704\"]\n  3 [size=\"92545024\", alpha=\"0.17\", expect_size=\"46272512\"] \n  3 -> 5 [size =\"46272512\"]\n  4 [size=\"73951232\", alpha=\"0.02\", expect_size=\"36975616\"] \n  4 -> 5 [size =\"36975616\"]\n  5 [size=\"33925120\", alpha=\"0.04\", expect_size=\"16962560\"] \n  5 -> 6 [size =\"16962560\"]\n  6 [size=\"47331328\", alpha=\"0.11\", expect_size=\"23665664\"] \n  6 -> 7 [size =\"23665664\"]\n  7 [size=\"59420672\", alpha=\"0.16\", expect_size=\"29710336\"] \n  7 -> 8 [size =\"29710336\"]\n  7 -> 9 [size =\"29710336\"]\n  8 [size=\"61067264\", alpha=\"0.07\", expect_size=\"30533632\"] \n  8 -> 10 [size =\"30533632\"]\n  8 -> 11 [size =\"30533632\"]\n  9 [size=\"26978304\", alpha=\"0.05\", expect_size=\"13489152\"] \n  9 -> 10 [size =\"13489152\"]\n  9 -> 11 [size =\"13489152\"]\n  10 [size=\"49840128\", alpha=\"0.11\", expect_size=\"24920064\"] \n  10 -> 12 [size =\"24920064\"]\n  10 -> 13 [size =\"24920064\"]\n  11 [size=\"72452096\", alpha=\"0.15\", expect_size=\"36226048\"] \n  11 -> 12 [size =\"36226048\"]\n  12 [size=\"48992256\", alpha=\"0.19\", expect_size=\"24496128\"] \n  12 -> 14 [size =\"24496128\"]\n  12 -> 15 [size =\"24496128\"]\n  13 [size=\"52572160\", alpha=\"0.04\", expect_size=\"26286080\"] \n  14 [size=\"39548928\", alpha=\"0.11\", expect_size=\"19774464\"] \n  14 -> 16 [size =\"19774464\"]\n  15 [size=\"50001920\", alpha=\"0.13\", expect_size=\"25000960\"] \n  15 -> 16 [size =\"25000960\"]\n  16 [size=\"71174144\", alpha=\"0.12\", expect_size=\"35587072\"] \n  16 -> 17 [size =\"35587072\"]\n  16 -> 18 [size =\"35587072\"]\n  17 [size=\"28268544\", alpha=\"0.05\", expect_size=\"14134272\"] \n  17 -> 19 [size =\"14134272\"]\n  18 [size=\"102316032\", alpha=\"0.00\", expect_size=\"51158016\"] \n  18 -> 19 [size =\"51158016\"]\n  19 [size=\"42489856\", alpha=\"0.13\", expect_size=\"21244928\"] \n  19 -> 20 [size =\"21244928\"]\n  20 [size=\"65781760\", alpha=\"0.06\", expect_size=\"32890880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26327040\", alpha=\"0.04\", expect_size=\"7898112\"] \n  2 [size=\"147715413\", alpha=\"0.05\", expect_size=\"44314624\"] \n  2 -> 3 [size =\"44314624\"]\n  2 -> 4 [size =\"44314624\"]\n  3 [size=\"153920853\", alpha=\"0.17\", expect_size=\"46176256\"] \n  4 [size=\"31327573\", alpha=\"0.11\", expect_size=\"9398272\"] \n  4 -> 5 [size =\"9398272\"]\n  5 [size=\"153954987\", alpha=\"0.11\", expect_size=\"46186496\"] \n  5 -> 6 [size =\"46186496\"]\n  5 -> 7 [size =\"46186496\"]\n  6 [size=\"74990933\", alpha=\"0.02\", expect_size=\"22497280\"] \n  6 -> 8 [size =\"22497280\"]\n  7 [size=\"163017387\", alpha=\"0.08\", expect_size=\"48905216\"] \n  7 -> 9 [size =\"48905216\"]\n  8 [size=\"116882773\", alpha=\"0.08\", expect_size=\"35064832\"] \n  9 [size=\"21306027\", alpha=\"0.01\", expect_size=\"6391808\"] \n  9 -> 10 [size =\"6391808\"]\n  10 [size=\"141769387\", alpha=\"0.07\", expect_size=\"42530816\"] \n  10 -> 11 [size =\"42530816\"]\n  11 [size=\"153893547\", alpha=\"0.05\", expect_size=\"46168064\"] \n  11 -> 12 [size =\"46168064\"]\n  11 -> 13 [size =\"46168064\"]\n  12 [size=\"27241813\", alpha=\"0.10\", expect_size=\"8172544\"] \n  12 -> 14 [size =\"8172544\"]\n  13 [size=\"64754347\", alpha=\"0.09\", expect_size=\"19426304\"] \n  13 -> 15 [size =\"19426304\"]\n  14 [size=\"41284267\", alpha=\"0.10\", expect_size=\"12385280\"] \n  14 -> 17 [size =\"12385280\"]\n  15 [size=\"127842987\", alpha=\"0.02\", expect_size=\"38352896\"] \n  15 -> 16 [size =\"38352896\"]\n  16 [size=\"55937707\", alpha=\"0.05\", expect_size=\"16781312\"] \n  16 -> 18 [size =\"16781312\"]\n  17 [size=\"74007893\", alpha=\"0.07\", expect_size=\"22202368\"] \n  18 [size=\"135881387\", alpha=\"0.03\", expect_size=\"40764416\"] \n  18 -> 19 [size =\"40764416\"]\n  19 [size=\"41274027\", alpha=\"0.14\", expect_size=\"12382208\"] \n  19 -> 20 [size =\"12382208\"]\n  20 [size=\"51527680\", alpha=\"0.12\", expect_size=\"15458304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106038613\", alpha=\"0.09\", expect_size=\"31811584\"] \n  1 -> 2 [size =\"31811584\"]\n  2 [size=\"52794027\", alpha=\"0.16\", expect_size=\"15838208\"] \n  2 -> 3 [size =\"15838208\"]\n  3 [size=\"169963520\", alpha=\"0.20\", expect_size=\"50989056\"] \n  3 -> 4 [size =\"50989056\"]\n  4 [size=\"133662720\", alpha=\"0.15\", expect_size=\"40098816\"] \n  4 -> 5 [size =\"40098816\"]\n  5 [size=\"169147733\", alpha=\"0.02\", expect_size=\"50744320\"] \n  5 -> 6 [size =\"50744320\"]\n  6 [size=\"109731840\", alpha=\"0.04\", expect_size=\"32919552\"] \n  6 -> 7 [size =\"32919552\"]\n  7 [size=\"71331840\", alpha=\"0.02\", expect_size=\"21399552\"] \n  7 -> 8 [size =\"21399552\"]\n  8 [size=\"131194880\", alpha=\"0.19\", expect_size=\"39358464\"] \n  8 -> 9 [size =\"39358464\"]\n  9 [size=\"152459947\", alpha=\"0.01\", expect_size=\"45737984\"] \n  9 -> 10 [size =\"45737984\"]\n  10 [size=\"20609707\", alpha=\"0.03\", expect_size=\"6182912\"] \n  10 -> 11 [size =\"6182912\"]\n  11 [size=\"123757227\", alpha=\"0.11\", expect_size=\"37127168\"] \n  11 -> 12 [size =\"37127168\"]\n  12 [size=\"37478400\", alpha=\"0.11\", expect_size=\"11243520\"] \n  12 -> 13 [size =\"11243520\"]\n  13 [size=\"159515307\", alpha=\"0.18\", expect_size=\"47854592\"] \n  13 -> 14 [size =\"47854592\"]\n  14 [size=\"158040747\", alpha=\"0.14\", expect_size=\"47412224\"] \n  14 -> 15 [size =\"47412224\"]\n  15 [size=\"119596373\", alpha=\"0.17\", expect_size=\"35878912\"] \n  15 -> 16 [size =\"35878912\"]\n  16 [size=\"133594453\", alpha=\"0.09\", expect_size=\"40078336\"] \n  16 -> 17 [size =\"40078336\"]\n  17 [size=\"163082240\", alpha=\"0.17\", expect_size=\"48924672\"] \n  17 -> 18 [size =\"48924672\"]\n  18 [size=\"22159360\", alpha=\"0.16\", expect_size=\"6647808\"] \n  18 -> 19 [size =\"6647808\"]\n  19 [size=\"173431467\", alpha=\"0.13\", expect_size=\"52029440\"] \n  19 -> 20 [size =\"52029440\"]\n  20 [size=\"24009387\", alpha=\"0.14\", expect_size=\"7202816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23186773\", alpha=\"0.20\", expect_size=\"6956032\"] \n  1 -> 2 [size =\"6956032\"]\n  2 [size=\"173701120\", alpha=\"0.11\", expect_size=\"52110336\"] \n  2 -> 3 [size =\"52110336\"]\n  3 [size=\"154897067\", alpha=\"0.09\", expect_size=\"46469120\"] \n  3 -> 4 [size =\"46469120\"]\n  3 -> 5 [size =\"46469120\"]\n  4 [size=\"136161280\", alpha=\"0.16\", expect_size=\"40848384\"] \n  4 -> 6 [size =\"40848384\"]\n  5 [size=\"127559680\", alpha=\"0.01\", expect_size=\"38267904\"] \n  5 -> 6 [size =\"38267904\"]\n  6 [size=\"46813867\", alpha=\"0.11\", expect_size=\"14044160\"] \n  6 -> 7 [size =\"14044160\"]\n  6 -> 8 [size =\"14044160\"]\n  7 [size=\"43595093\", alpha=\"0.08\", expect_size=\"13078528\"] \n  7 -> 9 [size =\"13078528\"]\n  8 [size=\"173765973\", alpha=\"0.06\", expect_size=\"52129792\"] \n  8 -> 9 [size =\"52129792\"]\n  8 -> 10 [size =\"52129792\"]\n  9 [size=\"31324160\", alpha=\"0.15\", expect_size=\"9397248\"] \n  9 -> 11 [size =\"9397248\"]\n  10 [size=\"58142720\", alpha=\"0.02\", expect_size=\"17442816\"] \n  10 -> 11 [size =\"17442816\"]\n  11 [size=\"139878400\", alpha=\"0.18\", expect_size=\"41963520\"] \n  11 -> 12 [size =\"41963520\"]\n  11 -> 13 [size =\"41963520\"]\n  12 [size=\"139202560\", alpha=\"0.12\", expect_size=\"41760768\"] \n  12 -> 14 [size =\"41760768\"]\n  13 [size=\"68365653\", alpha=\"0.02\", expect_size=\"20509696\"] \n  13 -> 14 [size =\"20509696\"]\n  14 [size=\"138786133\", alpha=\"0.10\", expect_size=\"41635840\"] \n  14 -> 15 [size =\"41635840\"]\n  15 [size=\"107386880\", alpha=\"0.18\", expect_size=\"32216064\"] \n  15 -> 16 [size =\"32216064\"]\n  16 [size=\"115295573\", alpha=\"0.07\", expect_size=\"34588672\"] \n  16 -> 17 [size =\"34588672\"]\n  17 [size=\"42014720\", alpha=\"0.06\", expect_size=\"12604416\"] \n  17 -> 18 [size =\"12604416\"]\n  18 [size=\"107475627\", alpha=\"0.12\", expect_size=\"32242688\"] \n  18 -> 19 [size =\"32242688\"]\n  19 [size=\"154214400\", alpha=\"0.06\", expect_size=\"46264320\"] \n  19 -> 20 [size =\"46264320\"]\n  20 [size=\"114063360\", alpha=\"0.05\", expect_size=\"34219008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27412480\", alpha=\"0.17\", expect_size=\"10964992\"] \n  1 -> 10 [size =\"10964992\"]\n  1 -> 11 [size =\"10964992\"]\n  1 -> 12 [size =\"10964992\"]\n  1 -> 13 [size =\"10964992\"]\n  1 -> 16 [size =\"10964992\"]\n  2 [size=\"19171840\", alpha=\"0.10\", expect_size=\"7668736\"] \n  2 -> 10 [size =\"7668736\"]\n  2 -> 11 [size =\"7668736\"]\n  2 -> 14 [size =\"7668736\"]\n  2 -> 16 [size =\"7668736\"]\n  3 [size=\"44462080\", alpha=\"0.16\", expect_size=\"17784832\"] \n  3 -> 10 [size =\"17784832\"]\n  3 -> 11 [size =\"17784832\"]\n  3 -> 16 [size =\"17784832\"]\n  4 [size=\"69212160\", alpha=\"0.07\", expect_size=\"27684864\"] \n  4 -> 10 [size =\"27684864\"]\n  4 -> 14 [size =\"27684864\"]\n  4 -> 16 [size =\"27684864\"]\n  5 [size=\"124218880\", alpha=\"0.16\", expect_size=\"49687552\"] \n  5 -> 11 [size =\"49687552\"]\n  5 -> 14 [size =\"49687552\"]\n  5 -> 16 [size =\"49687552\"]\n  6 [size=\"117608960\", alpha=\"0.18\", expect_size=\"47043584\"] \n  6 -> 12 [size =\"47043584\"]\n  6 -> 16 [size =\"47043584\"]\n  7 [size=\"32304640\", alpha=\"0.05\", expect_size=\"12921856\"] \n  7 -> 10 [size =\"12921856\"]\n  7 -> 12 [size =\"12921856\"]\n  7 -> 13 [size =\"12921856\"]\n  7 -> 15 [size =\"12921856\"]\n  8 [size=\"61795840\", alpha=\"0.07\", expect_size=\"24718336\"] \n  8 -> 10 [size =\"24718336\"]\n  8 -> 11 [size =\"24718336\"]\n  8 -> 12 [size =\"24718336\"]\n  8 -> 16 [size =\"24718336\"]\n  9 [size=\"95516160\", alpha=\"0.01\", expect_size=\"38206464\"] \n  9 -> 10 [size =\"38206464\"]\n  9 -> 12 [size =\"38206464\"]\n  9 -> 14 [size =\"38206464\"]\n  9 -> 16 [size =\"38206464\"]\n  10 [size=\"47477760\", alpha=\"0.08\", expect_size=\"18991104\"] \n  10 -> 18 [size =\"18991104\"]\n  10 -> 18 [size =\"18991104\"]\n  10 -> 19 [size =\"18991104\"]\n  11 [size=\"117235200\", alpha=\"0.16\", expect_size=\"46894080\"] \n  11 -> 17 [size =\"46894080\"]\n  11 -> 18 [size =\"46894080\"]\n  11 -> 19 [size =\"46894080\"]\n  12 [size=\"96770560\", alpha=\"0.05\", expect_size=\"38708224\"] \n  12 -> 17 [size =\"38708224\"]\n  12 -> 18 [size =\"38708224\"]\n  12 -> 19 [size =\"38708224\"]\n  13 [size=\"37255680\", alpha=\"0.13\", expect_size=\"14902272\"] \n  14 [size=\"128768000\", alpha=\"0.00\", expect_size=\"51507200\"] \n  14 -> 19 [size =\"51507200\"]\n  15 [size=\"51051520\", alpha=\"0.09\", expect_size=\"20420608\"] \n  15 -> 17 [size =\"20420608\"]\n  15 -> 18 [size =\"20420608\"]\n  15 -> 20 [size =\"20420608\"]\n  16 [size=\"30333440\", alpha=\"0.15\", expect_size=\"12133376\"] \n  16 -> 17 [size =\"12133376\"]\n  16 -> 18 [size =\"12133376\"]\n  16 -> 19 [size =\"12133376\"]\n  17 [size=\"15628800\", alpha=\"0.11\", expect_size=\"6251520\"] \n  18 [size=\"43514880\", alpha=\"0.05\", expect_size=\"17405952\"] \n  19 [size=\"83773440\", alpha=\"0.03\", expect_size=\"33509376\"] \n  20 [size=\"87680000\", alpha=\"0.15\", expect_size=\"35072000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14791680\", alpha=\"0.04\", expect_size=\"5916672\"] \n  1 -> 2 [size =\"5916672\"]\n  2 [size=\"127718400\", alpha=\"0.14\", expect_size=\"51087360\"] \n  2 -> 3 [size =\"51087360\"]\n  3 [size=\"101852160\", alpha=\"0.12\", expect_size=\"40740864\"] \n  3 -> 4 [size =\"40740864\"]\n  4 [size=\"89866240\", alpha=\"0.10\", expect_size=\"35946496\"] \n  4 -> 5 [size =\"35946496\"]\n  5 [size=\"55626240\", alpha=\"0.05\", expect_size=\"22250496\"] \n  5 -> 6 [size =\"22250496\"]\n  6 [size=\"83148800\", alpha=\"0.11\", expect_size=\"33259520\"] \n  6 -> 7 [size =\"33259520\"]\n  7 [size=\"87206400\", alpha=\"0.09\", expect_size=\"34882560\"] \n  7 -> 8 [size =\"34882560\"]\n  8 [size=\"81021440\", alpha=\"0.15\", expect_size=\"32408576\"] \n  8 -> 9 [size =\"32408576\"]\n  9 [size=\"76090880\", alpha=\"0.02\", expect_size=\"30436352\"] \n  9 -> 10 [size =\"30436352\"]\n  10 [size=\"48537600\", alpha=\"0.08\", expect_size=\"19415040\"] \n  10 -> 11 [size =\"19415040\"]\n  11 [size=\"124648960\", alpha=\"0.03\", expect_size=\"49859584\"] \n  11 -> 12 [size =\"49859584\"]\n  12 [size=\"29168640\", alpha=\"0.11\", expect_size=\"11667456\"] \n  12 -> 13 [size =\"11667456\"]\n  13 [size=\"109235200\", alpha=\"0.12\", expect_size=\"43694080\"] \n  13 -> 14 [size =\"43694080\"]\n  14 [size=\"59502080\", alpha=\"0.03\", expect_size=\"23800832\"] \n  14 -> 15 [size =\"23800832\"]\n  15 [size=\"118502400\", alpha=\"0.07\", expect_size=\"47400960\"] \n  15 -> 16 [size =\"47400960\"]\n  16 [size=\"31439360\", alpha=\"0.17\", expect_size=\"12575744\"] \n  16 -> 17 [size =\"12575744\"]\n  17 [size=\"94645760\", alpha=\"0.18\", expect_size=\"37858304\"] \n  17 -> 18 [size =\"37858304\"]\n  18 [size=\"32286720\", alpha=\"0.12\", expect_size=\"12914688\"] \n  18 -> 19 [size =\"12914688\"]\n  19 [size=\"120760320\", alpha=\"0.12\", expect_size=\"48304128\"] \n  19 -> 20 [size =\"48304128\"]\n  20 [size=\"15953920\", alpha=\"0.09\", expect_size=\"6381568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48332800\", alpha=\"0.12\", expect_size=\"19333120\"] \n  1 -> 11 [size =\"19333120\"]\n  1 -> 14 [size =\"19333120\"]\n  1 -> 16 [size =\"19333120\"]\n  2 [size=\"96371200\", alpha=\"0.12\", expect_size=\"38548480\"] \n  2 -> 11 [size =\"38548480\"]\n  2 -> 12 [size =\"38548480\"]\n  2 -> 15 [size =\"38548480\"]\n  2 -> 18 [size =\"38548480\"]\n  3 [size=\"97177600\", alpha=\"0.09\", expect_size=\"38871040\"] \n  3 -> 12 [size =\"38871040\"]\n  3 -> 15 [size =\"38871040\"]\n  3 -> 16 [size =\"38871040\"]\n  3 -> 18 [size =\"38871040\"]\n  4 [size=\"121356800\", alpha=\"0.01\", expect_size=\"48542720\"] \n  4 -> 11 [size =\"48542720\"]\n  4 -> 12 [size =\"48542720\"]\n  4 -> 19 [size =\"48542720\"]\n  4 -> 20 [size =\"48542720\"]\n  5 [size=\"48591360\", alpha=\"0.13\", expect_size=\"19436544\"] \n  5 -> 11 [size =\"19436544\"]\n  5 -> 12 [size =\"19436544\"]\n  5 -> 13 [size =\"19436544\"]\n  5 -> 15 [size =\"19436544\"]\n  5 -> 18 [size =\"19436544\"]\n  5 -> 20 [size =\"19436544\"]\n  6 [size=\"57152000\", alpha=\"0.19\", expect_size=\"22860800\"] \n  6 -> 15 [size =\"22860800\"]\n  6 -> 18 [size =\"22860800\"]\n  6 -> 19 [size =\"22860800\"]\n  6 -> 20 [size =\"22860800\"]\n  7 [size=\"31421440\", alpha=\"0.02\", expect_size=\"12568576\"] \n  7 -> 12 [size =\"12568576\"]\n  7 -> 15 [size =\"12568576\"]\n  7 -> 16 [size =\"12568576\"]\n  7 -> 19 [size =\"12568576\"]\n  8 [size=\"96808960\", alpha=\"0.03\", expect_size=\"38723584\"] \n  8 -> 12 [size =\"38723584\"]\n  8 -> 14 [size =\"38723584\"]\n  8 -> 15 [size =\"38723584\"]\n  8 -> 16 [size =\"38723584\"]\n  8 -> 18 [size =\"38723584\"]\n  9 [size=\"91783680\", alpha=\"0.05\", expect_size=\"36713472\"] \n  9 -> 17 [size =\"36713472\"]\n  9 -> 19 [size =\"36713472\"]\n  9 -> 20 [size =\"36713472\"]\n  10 [size=\"45276160\", alpha=\"0.08\", expect_size=\"18110464\"] \n  10 -> 16 [size =\"18110464\"]\n  11 [size=\"108377600\", alpha=\"0.06\", expect_size=\"43351040\"] \n  12 [size=\"61204480\", alpha=\"0.06\", expect_size=\"24481792\"] \n  13 [size=\"16709120\", alpha=\"0.18\", expect_size=\"6683648\"] \n  14 [size=\"71495680\", alpha=\"0.19\", expect_size=\"28598272\"] \n  15 [size=\"78466560\", alpha=\"0.15\", expect_size=\"31386624\"] \n  16 [size=\"34378240\", alpha=\"0.18\", expect_size=\"13751296\"] \n  17 [size=\"30200320\", alpha=\"0.05\", expect_size=\"12080128\"] \n  18 [size=\"40911360\", alpha=\"0.12\", expect_size=\"16364544\"] \n  19 [size=\"56299520\", alpha=\"0.11\", expect_size=\"22519808\"] \n  20 [size=\"86351360\", alpha=\"0.06\", expect_size=\"34540544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159129600\", alpha=\"0.19\", expect_size=\"47738880\"] \n  2 [size=\"118691840\", alpha=\"0.14\", expect_size=\"35607552\"] \n  3 [size=\"146278400\", alpha=\"0.10\", expect_size=\"43883520\"] \n  3 -> 19 [size =\"43883520\"]\n  4 [size=\"54551893\", alpha=\"0.03\", expect_size=\"16365568\"] \n  4 -> 19 [size =\"16365568\"]\n  5 [size=\"139707733\", alpha=\"0.10\", expect_size=\"41912320\"] \n  5 -> 19 [size =\"41912320\"]\n  6 [size=\"79394133\", alpha=\"0.06\", expect_size=\"23818240\"] \n  6 -> 19 [size =\"23818240\"]\n  7 [size=\"63102293\", alpha=\"0.10\", expect_size=\"18930688\"] \n  7 -> 19 [size =\"18930688\"]\n  8 [size=\"165321387\", alpha=\"0.12\", expect_size=\"49596416\"] \n  9 [size=\"107496107\", alpha=\"0.19\", expect_size=\"32248832\"] \n  9 -> 20 [size =\"32248832\"]\n  10 [size=\"77793280\", alpha=\"0.16\", expect_size=\"23337984\"] \n  11 [size=\"55425707\", alpha=\"0.16\", expect_size=\"16627712\"] \n  12 [size=\"49810773\", alpha=\"0.00\", expect_size=\"14943232\"] \n  13 [size=\"161215147\", alpha=\"0.06\", expect_size=\"48364544\"] \n  13 -> 19 [size =\"48364544\"]\n  14 [size=\"79114240\", alpha=\"0.03\", expect_size=\"23734272\"] \n  14 -> 19 [size =\"23734272\"]\n  15 [size=\"103700480\", alpha=\"0.17\", expect_size=\"31110144\"] \n  16 [size=\"22227627\", alpha=\"0.18\", expect_size=\"6668288\"] \n  16 -> 19 [size =\"6668288\"]\n  17 [size=\"66194773\", alpha=\"0.07\", expect_size=\"19858432\"] \n  18 [size=\"142663680\", alpha=\"0.12\", expect_size=\"42799104\"] \n  19 [size=\"76130987\", alpha=\"0.09\", expect_size=\"22839296\"] \n  20 [size=\"64426667\", alpha=\"0.19\", expect_size=\"19328000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123863040\", alpha=\"0.18\", expect_size=\"49545216\"] \n  1 -> 2 [size =\"49545216\"]\n  2 [size=\"94174720\", alpha=\"0.01\", expect_size=\"37669888\"] \n  2 -> 3 [size =\"37669888\"]\n  3 [size=\"71854080\", alpha=\"0.12\", expect_size=\"28741632\"] \n  3 -> 4 [size =\"28741632\"]\n  4 [size=\"15303680\", alpha=\"0.04\", expect_size=\"6121472\"] \n  4 -> 5 [size =\"6121472\"]\n  5 [size=\"37191680\", alpha=\"0.17\", expect_size=\"14876672\"] \n  5 -> 6 [size =\"14876672\"]\n  6 [size=\"17643520\", alpha=\"0.06\", expect_size=\"7057408\"] \n  6 -> 7 [size =\"7057408\"]\n  7 [size=\"53107200\", alpha=\"0.05\", expect_size=\"21242880\"] \n  7 -> 8 [size =\"21242880\"]\n  8 [size=\"53066240\", alpha=\"0.08\", expect_size=\"21226496\"] \n  8 -> 9 [size =\"21226496\"]\n  9 [size=\"25121280\", alpha=\"0.00\", expect_size=\"10048512\"] \n  9 -> 10 [size =\"10048512\"]\n  10 [size=\"66298880\", alpha=\"0.19\", expect_size=\"26519552\"] \n  10 -> 11 [size =\"26519552\"]\n  11 [size=\"79011840\", alpha=\"0.01\", expect_size=\"31604736\"] \n  11 -> 12 [size =\"31604736\"]\n  12 [size=\"66882560\", alpha=\"0.05\", expect_size=\"26753024\"] \n  12 -> 13 [size =\"26753024\"]\n  13 [size=\"71831040\", alpha=\"0.10\", expect_size=\"28732416\"] \n  13 -> 14 [size =\"28732416\"]\n  14 [size=\"26777600\", alpha=\"0.14\", expect_size=\"10711040\"] \n  14 -> 15 [size =\"10711040\"]\n  15 [size=\"48768000\", alpha=\"0.18\", expect_size=\"19507200\"] \n  15 -> 16 [size =\"19507200\"]\n  16 [size=\"32768000\", alpha=\"0.14\", expect_size=\"13107200\"] \n  16 -> 17 [size =\"13107200\"]\n  17 [size=\"68026880\", alpha=\"0.18\", expect_size=\"27210752\"] \n  17 -> 18 [size =\"27210752\"]\n  18 [size=\"95854080\", alpha=\"0.14\", expect_size=\"38341632\"] \n  18 -> 19 [size =\"38341632\"]\n  19 [size=\"26780160\", alpha=\"0.15\", expect_size=\"10712064\"] \n  19 -> 20 [size =\"10712064\"]\n  20 [size=\"29649920\", alpha=\"0.04\", expect_size=\"11859968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26839040\", alpha=\"0.04\", expect_size=\"10735616\"] \n  1 -> 15 [size =\"10735616\"]\n  1 -> 16 [size =\"10735616\"]\n  1 -> 17 [size =\"10735616\"]\n  1 -> 20 [size =\"10735616\"]\n  2 [size=\"17006080\", alpha=\"0.18\", expect_size=\"6802432\"] \n  2 -> 17 [size =\"6802432\"]\n  2 -> 20 [size =\"6802432\"]\n  3 [size=\"18810880\", alpha=\"0.10\", expect_size=\"7524352\"] \n  3 -> 14 [size =\"7524352\"]\n  3 -> 19 [size =\"7524352\"]\n  3 -> 20 [size =\"7524352\"]\n  4 [size=\"59384320\", alpha=\"0.17\", expect_size=\"23753728\"] \n  4 -> 15 [size =\"23753728\"]\n  4 -> 17 [size =\"23753728\"]\n  4 -> 20 [size =\"23753728\"]\n  5 [size=\"102092800\", alpha=\"0.04\", expect_size=\"40837120\"] \n  5 -> 14 [size =\"40837120\"]\n  5 -> 15 [size =\"40837120\"]\n  5 -> 17 [size =\"40837120\"]\n  5 -> 20 [size =\"40837120\"]\n  6 [size=\"67806720\", alpha=\"0.09\", expect_size=\"27122688\"] \n  6 -> 14 [size =\"27122688\"]\n  6 -> 16 [size =\"27122688\"]\n  6 -> 20 [size =\"27122688\"]\n  7 [size=\"83302400\", alpha=\"0.06\", expect_size=\"33320960\"] \n  7 -> 13 [size =\"33320960\"]\n  7 -> 14 [size =\"33320960\"]\n  7 -> 16 [size =\"33320960\"]\n  7 -> 17 [size =\"33320960\"]\n  7 -> 19 [size =\"33320960\"]\n  7 -> 20 [size =\"33320960\"]\n  8 [size=\"65369600\", alpha=\"0.00\", expect_size=\"26147840\"] \n  8 -> 14 [size =\"26147840\"]\n  8 -> 15 [size =\"26147840\"]\n  8 -> 16 [size =\"26147840\"]\n  8 -> 17 [size =\"26147840\"]\n  8 -> 19 [size =\"26147840\"]\n  9 [size=\"123243520\", alpha=\"0.16\", expect_size=\"49297408\"] \n  9 -> 14 [size =\"49297408\"]\n  9 -> 15 [size =\"49297408\"]\n  9 -> 17 [size =\"49297408\"]\n  9 -> 20 [size =\"49297408\"]\n  10 [size=\"91604480\", alpha=\"0.02\", expect_size=\"36641792\"] \n  10 -> 14 [size =\"36641792\"]\n  10 -> 15 [size =\"36641792\"]\n  10 -> 17 [size =\"36641792\"]\n  10 -> 19 [size =\"36641792\"]\n  10 -> 20 [size =\"36641792\"]\n  11 [size=\"34419200\", alpha=\"0.19\", expect_size=\"13767680\"] \n  11 -> 14 [size =\"13767680\"]\n  11 -> 15 [size =\"13767680\"]\n  11 -> 17 [size =\"13767680\"]\n  11 -> 19 [size =\"13767680\"]\n  11 -> 20 [size =\"13767680\"]\n  12 [size=\"58785280\", alpha=\"0.02\", expect_size=\"23514112\"] \n  12 -> 16 [size =\"23514112\"]\n  12 -> 18 [size =\"23514112\"]\n  12 -> 19 [size =\"23514112\"]\n  12 -> 20 [size =\"23514112\"]\n  13 [size=\"46484480\", alpha=\"0.04\", expect_size=\"18593792\"] \n  14 [size=\"108364800\", alpha=\"0.14\", expect_size=\"43345920\"] \n  15 [size=\"93473280\", alpha=\"0.05\", expect_size=\"37389312\"] \n  16 [size=\"119521280\", alpha=\"0.11\", expect_size=\"47808512\"] \n  17 [size=\"53652480\", alpha=\"0.05\", expect_size=\"21460992\"] \n  18 [size=\"90813440\", alpha=\"0.19\", expect_size=\"36325376\"] \n  19 [size=\"92600320\", alpha=\"0.02\", expect_size=\"37040128\"] \n  20 [size=\"71436800\", alpha=\"0.11\", expect_size=\"28574720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97472000\", alpha=\"0.01\", expect_size=\"38988800\"] \n  1 -> 14 [size =\"38988800\"]\n  1 -> 17 [size =\"38988800\"]\n  2 [size=\"127162880\", alpha=\"0.20\", expect_size=\"50865152\"] \n  2 -> 15 [size =\"50865152\"]\n  3 [size=\"89776640\", alpha=\"0.11\", expect_size=\"35910656\"] \n  3 -> 17 [size =\"35910656\"]\n  3 -> 20 [size =\"35910656\"]\n  4 [size=\"37265920\", alpha=\"0.19\", expect_size=\"14906368\"] \n  4 -> 14 [size =\"14906368\"]\n  4 -> 20 [size =\"14906368\"]\n  5 [size=\"98508800\", alpha=\"0.11\", expect_size=\"39403520\"] \n  5 -> 17 [size =\"39403520\"]\n  5 -> 18 [size =\"39403520\"]\n  5 -> 20 [size =\"39403520\"]\n  6 [size=\"128222720\", alpha=\"0.15\", expect_size=\"51289088\"] \n  6 -> 14 [size =\"51289088\"]\n  6 -> 16 [size =\"51289088\"]\n  6 -> 20 [size =\"51289088\"]\n  7 [size=\"98042880\", alpha=\"0.04\", expect_size=\"39217152\"] \n  7 -> 14 [size =\"39217152\"]\n  7 -> 16 [size =\"39217152\"]\n  7 -> 20 [size =\"39217152\"]\n  8 [size=\"32145920\", alpha=\"0.19\", expect_size=\"12858368\"] \n  8 -> 16 [size =\"12858368\"]\n  8 -> 18 [size =\"12858368\"]\n  8 -> 20 [size =\"12858368\"]\n  9 [size=\"110348800\", alpha=\"0.19\", expect_size=\"44139520\"] \n  9 -> 14 [size =\"44139520\"]\n  9 -> 16 [size =\"44139520\"]\n  9 -> 17 [size =\"44139520\"]\n  9 -> 19 [size =\"44139520\"]\n  9 -> 20 [size =\"44139520\"]\n  10 [size=\"43568640\", alpha=\"0.09\", expect_size=\"17427456\"] \n  10 -> 14 [size =\"17427456\"]\n  10 -> 20 [size =\"17427456\"]\n  11 [size=\"24002560\", alpha=\"0.18\", expect_size=\"9601024\"] \n  11 -> 14 [size =\"9601024\"]\n  11 -> 20 [size =\"9601024\"]\n  12 [size=\"31772160\", alpha=\"0.06\", expect_size=\"12708864\"] \n  12 -> 14 [size =\"12708864\"]\n  12 -> 15 [size =\"12708864\"]\n  12 -> 17 [size =\"12708864\"]\n  13 [size=\"28853760\", alpha=\"0.01\", expect_size=\"11541504\"] \n  13 -> 14 [size =\"11541504\"]\n  13 -> 16 [size =\"11541504\"]\n  13 -> 18 [size =\"11541504\"]\n  14 [size=\"91479040\", alpha=\"0.17\", expect_size=\"36591616\"] \n  15 [size=\"87024640\", alpha=\"0.06\", expect_size=\"34809856\"] \n  16 [size=\"35827200\", alpha=\"0.09\", expect_size=\"14330880\"] \n  17 [size=\"123576320\", alpha=\"0.15\", expect_size=\"49430528\"] \n  18 [size=\"28623360\", alpha=\"0.18\", expect_size=\"11449344\"] \n  19 [size=\"21946880\", alpha=\"0.08\", expect_size=\"8778752\"] \n  20 [size=\"18357760\", alpha=\"0.01\", expect_size=\"7343104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78149120\", alpha=\"0.05\", expect_size=\"31259648\"] \n  1 -> 5 [size =\"31259648\"]\n  1 -> 8 [size =\"31259648\"]\n  2 [size=\"72276480\", alpha=\"0.05\", expect_size=\"28910592\"] \n  2 -> 5 [size =\"28910592\"]\n  2 -> 6 [size =\"28910592\"]\n  2 -> 8 [size =\"28910592\"]\n  3 [size=\"47377920\", alpha=\"0.17\", expect_size=\"18951168\"] \n  3 -> 6 [size =\"18951168\"]\n  3 -> 6 [size =\"18951168\"]\n  3 -> 7 [size =\"18951168\"]\n  3 -> 8 [size =\"18951168\"]\n  4 [size=\"55127040\", alpha=\"0.02\", expect_size=\"22050816\"] \n  4 -> 9 [size =\"22050816\"]\n  5 [size=\"14205440\", alpha=\"0.07\", expect_size=\"5682176\"] \n  5 -> 10 [size =\"5682176\"]\n  5 -> 11 [size =\"5682176\"]\n  6 [size=\"13893120\", alpha=\"0.05\", expect_size=\"5557248\"] \n  6 -> 11 [size =\"5557248\"]\n  7 [size=\"60976640\", alpha=\"0.11\", expect_size=\"24390656\"] \n  7 -> 10 [size =\"24390656\"]\n  7 -> 12 [size =\"24390656\"]\n  7 -> 13 [size =\"24390656\"]\n  8 [size=\"90657280\", alpha=\"0.18\", expect_size=\"36262912\"] \n  8 -> 13 [size =\"36262912\"]\n  9 [size=\"13798400\", alpha=\"0.09\", expect_size=\"5519360\"] \n  9 -> 10 [size =\"5519360\"]\n  9 -> 12 [size =\"5519360\"]\n  9 -> 13 [size =\"5519360\"]\n  10 [size=\"126128640\", alpha=\"0.06\", expect_size=\"50451456\"] \n  10 -> 14 [size =\"50451456\"]\n  10 -> 16 [size =\"50451456\"]\n  10 -> 17 [size =\"50451456\"]\n  11 [size=\"112353280\", alpha=\"0.02\", expect_size=\"44941312\"] \n  12 [size=\"21079040\", alpha=\"0.13\", expect_size=\"8431616\"] \n  12 -> 15 [size =\"8431616\"]\n  13 [size=\"51545600\", alpha=\"0.15\", expect_size=\"20618240\"] \n  14 [size=\"32655360\", alpha=\"0.17\", expect_size=\"13062144\"] \n  14 -> 18 [size =\"13062144\"]\n  14 -> 20 [size =\"13062144\"]\n  15 [size=\"45739520\", alpha=\"0.10\", expect_size=\"18295808\"] \n  15 -> 18 [size =\"18295808\"]\n  15 -> 19 [size =\"18295808\"]\n  15 -> 20 [size =\"18295808\"]\n  16 [size=\"87900160\", alpha=\"0.17\", expect_size=\"35160064\"] \n  16 -> 19 [size =\"35160064\"]\n  16 -> 19 [size =\"35160064\"]\n  17 [size=\"118909440\", alpha=\"0.03\", expect_size=\"47563776\"] \n  17 -> 18 [size =\"47563776\"]\n  18 [size=\"67468800\", alpha=\"0.12\", expect_size=\"26987520\"] \n  19 [size=\"56038400\", alpha=\"0.16\", expect_size=\"22415360\"] \n  20 [size=\"107916800\", alpha=\"0.15\", expect_size=\"43166720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91746304\", alpha=\"0.12\", expect_size=\"45873152\"] \n  1 -> 2 [size =\"45873152\"]\n  2 [size=\"48175104\", alpha=\"0.08\", expect_size=\"24087552\"] \n  2 -> 3 [size =\"24087552\"]\n  3 [size=\"33034240\", alpha=\"0.13\", expect_size=\"16517120\"] \n  3 -> 4 [size =\"16517120\"]\n  4 [size=\"46374912\", alpha=\"0.07\", expect_size=\"23187456\"] \n  4 -> 5 [size =\"23187456\"]\n  5 [size=\"61429760\", alpha=\"0.19\", expect_size=\"30714880\"] \n  5 -> 6 [size =\"30714880\"]\n  6 [size=\"55121920\", alpha=\"0.01\", expect_size=\"27560960\"] \n  6 -> 7 [size =\"27560960\"]\n  7 [size=\"14024704\", alpha=\"0.00\", expect_size=\"7012352\"] \n  7 -> 8 [size =\"7012352\"]\n  8 [size=\"65841152\", alpha=\"0.12\", expect_size=\"32920576\"] \n  8 -> 9 [size =\"32920576\"]\n  9 [size=\"71983104\", alpha=\"0.19\", expect_size=\"35991552\"] \n  9 -> 10 [size =\"35991552\"]\n  10 [size=\"18059264\", alpha=\"0.10\", expect_size=\"9029632\"] \n  10 -> 11 [size =\"9029632\"]\n  11 [size=\"71571456\", alpha=\"0.18\", expect_size=\"35785728\"] \n  11 -> 12 [size =\"35785728\"]\n  12 [size=\"33859584\", alpha=\"0.00\", expect_size=\"16929792\"] \n  12 -> 13 [size =\"16929792\"]\n  13 [size=\"71786496\", alpha=\"0.08\", expect_size=\"35893248\"] \n  13 -> 14 [size =\"35893248\"]\n  14 [size=\"39202816\", alpha=\"0.16\", expect_size=\"19601408\"] \n  14 -> 15 [size =\"19601408\"]\n  15 [size=\"74131456\", alpha=\"0.10\", expect_size=\"37065728\"] \n  15 -> 16 [size =\"37065728\"]\n  16 [size=\"70825984\", alpha=\"0.12\", expect_size=\"35412992\"] \n  16 -> 17 [size =\"35412992\"]\n  17 [size=\"76601344\", alpha=\"0.09\", expect_size=\"38300672\"] \n  17 -> 18 [size =\"38300672\"]\n  18 [size=\"76703744\", alpha=\"0.07\", expect_size=\"38351872\"] \n  18 -> 19 [size =\"38351872\"]\n  19 [size=\"37208064\", alpha=\"0.19\", expect_size=\"18604032\"] \n  19 -> 20 [size =\"18604032\"]\n  20 [size=\"31737856\", alpha=\"0.11\", expect_size=\"15868928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74885120\", alpha=\"0.03\", expect_size=\"22465536\"] \n  1 -> 8 [size =\"22465536\"]\n  2 [size=\"157399040\", alpha=\"0.12\", expect_size=\"47219712\"] \n  2 -> 6 [size =\"47219712\"]\n  2 -> 7 [size =\"47219712\"]\n  2 -> 9 [size =\"47219712\"]\n  3 [size=\"154873173\", alpha=\"0.14\", expect_size=\"46461952\"] \n  3 -> 7 [size =\"46461952\"]\n  3 -> 8 [size =\"46461952\"]\n  3 -> 9 [size =\"46461952\"]\n  3 -> 10 [size =\"46461952\"]\n  4 [size=\"51394560\", alpha=\"0.16\", expect_size=\"15418368\"] \n  4 -> 7 [size =\"15418368\"]\n  4 -> 8 [size =\"15418368\"]\n  5 [size=\"106042027\", alpha=\"0.09\", expect_size=\"31812608\"] \n  5 -> 7 [size =\"31812608\"]\n  5 -> 8 [size =\"31812608\"]\n  6 [size=\"24634027\", alpha=\"0.11\", expect_size=\"7390208\"] \n  6 -> 11 [size =\"7390208\"]\n  6 -> 13 [size =\"7390208\"]\n  7 [size=\"125839360\", alpha=\"0.08\", expect_size=\"37751808\"] \n  7 -> 13 [size =\"37751808\"]\n  8 [size=\"129914880\", alpha=\"0.08\", expect_size=\"38974464\"] \n  8 -> 11 [size =\"38974464\"]\n  8 -> 12 [size =\"38974464\"]\n  9 [size=\"107936427\", alpha=\"0.07\", expect_size=\"32380928\"] \n  9 -> 12 [size =\"32380928\"]\n  10 [size=\"107694080\", alpha=\"0.02\", expect_size=\"32308224\"] \n  10 -> 11 [size =\"32308224\"]\n  10 -> 12 [size =\"32308224\"]\n  11 [size=\"157450240\", alpha=\"0.19\", expect_size=\"47235072\"] \n  11 -> 14 [size =\"47235072\"]\n  11 -> 16 [size =\"47235072\"]\n  11 -> 17 [size =\"47235072\"]\n  12 [size=\"27303253\", alpha=\"0.01\", expect_size=\"8190976\"] \n  12 -> 16 [size =\"8190976\"]\n  13 [size=\"119999147\", alpha=\"0.19\", expect_size=\"35999744\"] \n  13 -> 14 [size =\"35999744\"]\n  13 -> 15 [size =\"35999744\"]\n  14 [size=\"71860907\", alpha=\"0.05\", expect_size=\"21558272\"] \n  14 -> 19 [size =\"21558272\"]\n  14 -> 20 [size =\"21558272\"]\n  15 [size=\"43854507\", alpha=\"0.05\", expect_size=\"13156352\"] \n  15 -> 18 [size =\"13156352\"]\n  16 [size=\"110936747\", alpha=\"0.06\", expect_size=\"33281024\"] \n  16 -> 18 [size =\"33281024\"]\n  17 [size=\"39936000\", alpha=\"0.08\", expect_size=\"11980800\"] \n  17 -> 19 [size =\"11980800\"]\n  17 -> 20 [size =\"11980800\"]\n  18 [size=\"104598187\", alpha=\"0.05\", expect_size=\"31379456\"] \n  19 [size=\"167509333\", alpha=\"0.09\", expect_size=\"50252800\"] \n  20 [size=\"64252587\", alpha=\"0.01\", expect_size=\"19275776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74471424\", alpha=\"0.01\", expect_size=\"37235712\"] \n  1 -> 11 [size =\"37235712\"]\n  1 -> 12 [size =\"37235712\"]\n  1 -> 13 [size =\"37235712\"]\n  1 -> 13 [size =\"37235712\"]\n  1 -> 15 [size =\"37235712\"]\n  2 [size=\"81729536\", alpha=\"0.06\", expect_size=\"40864768\"] \n  2 -> 12 [size =\"40864768\"]\n  2 -> 13 [size =\"40864768\"]\n  2 -> 13 [size =\"40864768\"]\n  2 -> 15 [size =\"40864768\"]\n  3 [size=\"19836928\", alpha=\"0.14\", expect_size=\"9918464\"] \n  3 -> 12 [size =\"9918464\"]\n  3 -> 13 [size =\"9918464\"]\n  4 [size=\"37521408\", alpha=\"0.14\", expect_size=\"18760704\"] \n  4 -> 12 [size =\"18760704\"]\n  5 [size=\"73893888\", alpha=\"0.17\", expect_size=\"36946944\"] \n  5 -> 12 [size =\"36946944\"]\n  5 -> 13 [size =\"36946944\"]\n  5 -> 15 [size =\"36946944\"]\n  6 [size=\"32591872\", alpha=\"0.03\", expect_size=\"16295936\"] \n  6 -> 10 [size =\"16295936\"]\n  6 -> 13 [size =\"16295936\"]\n  6 -> 15 [size =\"16295936\"]\n  7 [size=\"51537920\", alpha=\"0.11\", expect_size=\"25768960\"] \n  7 -> 10 [size =\"25768960\"]\n  7 -> 12 [size =\"25768960\"]\n  7 -> 14 [size =\"25768960\"]\n  7 -> 15 [size =\"25768960\"]\n  8 [size=\"43190272\", alpha=\"0.04\", expect_size=\"21595136\"] \n  8 -> 12 [size =\"21595136\"]\n  8 -> 15 [size =\"21595136\"]\n  9 [size=\"63053824\", alpha=\"0.07\", expect_size=\"31526912\"] \n  9 -> 10 [size =\"31526912\"]\n  9 -> 11 [size =\"31526912\"]\n  9 -> 12 [size =\"31526912\"]\n  9 -> 13 [size =\"31526912\"]\n  9 -> 15 [size =\"31526912\"]\n  10 [size=\"30439424\", alpha=\"0.08\", expect_size=\"15219712\"] \n  10 -> 17 [size =\"15219712\"]\n  11 [size=\"66463744\", alpha=\"0.14\", expect_size=\"33231872\"] \n  11 -> 18 [size =\"33231872\"]\n  11 -> 19 [size =\"33231872\"]\n  12 [size=\"70989824\", alpha=\"0.14\", expect_size=\"35494912\"] \n  12 -> 16 [size =\"35494912\"]\n  12 -> 18 [size =\"35494912\"]\n  13 [size=\"98136064\", alpha=\"0.18\", expect_size=\"49068032\"] \n  13 -> 18 [size =\"49068032\"]\n  13 -> 18 [size =\"49068032\"]\n  14 [size=\"69486592\", alpha=\"0.01\", expect_size=\"34743296\"] \n  14 -> 16 [size =\"34743296\"]\n  15 [size=\"42311680\", alpha=\"0.13\", expect_size=\"21155840\"] \n  15 -> 18 [size =\"21155840\"]\n  16 [size=\"29149184\", alpha=\"0.06\", expect_size=\"14574592\"] \n  16 -> 20 [size =\"14574592\"]\n  17 [size=\"41922560\", alpha=\"0.15\", expect_size=\"20961280\"] \n  17 -> 20 [size =\"20961280\"]\n  18 [size=\"93016064\", alpha=\"0.17\", expect_size=\"46508032\"] \n  18 -> 20 [size =\"46508032\"]\n  19 [size=\"18712576\", alpha=\"0.00\", expect_size=\"9356288\"] \n  19 -> 20 [size =\"9356288\"]\n  20 [size=\"53954560\", alpha=\"0.10\", expect_size=\"26977280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65976320\", alpha=\"0.17\", expect_size=\"19792896\"] \n  1 -> 2 [size =\"19792896\"]\n  2 [size=\"118456320\", alpha=\"0.16\", expect_size=\"35536896\"] \n  2 -> 3 [size =\"35536896\"]\n  3 [size=\"20118187\", alpha=\"0.05\", expect_size=\"6035456\"] \n  3 -> 4 [size =\"6035456\"]\n  4 [size=\"62559573\", alpha=\"0.12\", expect_size=\"18767872\"] \n  4 -> 5 [size =\"18767872\"]\n  5 [size=\"163669333\", alpha=\"0.12\", expect_size=\"49100800\"] \n  5 -> 6 [size =\"49100800\"]\n  6 [size=\"170458453\", alpha=\"0.08\", expect_size=\"51137536\"] \n  6 -> 7 [size =\"51137536\"]\n  7 [size=\"145554773\", alpha=\"0.17\", expect_size=\"43666432\"] \n  7 -> 8 [size =\"43666432\"]\n  8 [size=\"84886187\", alpha=\"0.17\", expect_size=\"25465856\"] \n  8 -> 9 [size =\"25465856\"]\n  9 [size=\"145561600\", alpha=\"0.09\", expect_size=\"43668480\"] \n  9 -> 10 [size =\"43668480\"]\n  10 [size=\"150333440\", alpha=\"0.04\", expect_size=\"45100032\"] \n  10 -> 11 [size =\"45100032\"]\n  11 [size=\"79957333\", alpha=\"0.09\", expect_size=\"23987200\"] \n  11 -> 12 [size =\"23987200\"]\n  12 [size=\"53940907\", alpha=\"0.19\", expect_size=\"16182272\"] \n  12 -> 13 [size =\"16182272\"]\n  13 [size=\"22224213\", alpha=\"0.11\", expect_size=\"6667264\"] \n  13 -> 14 [size =\"6667264\"]\n  14 [size=\"59088213\", alpha=\"0.03\", expect_size=\"17726464\"] \n  14 -> 15 [size =\"17726464\"]\n  15 [size=\"154142720\", alpha=\"0.08\", expect_size=\"46242816\"] \n  15 -> 16 [size =\"46242816\"]\n  16 [size=\"95150080\", alpha=\"0.17\", expect_size=\"28545024\"] \n  16 -> 17 [size =\"28545024\"]\n  17 [size=\"156999680\", alpha=\"0.18\", expect_size=\"47099904\"] \n  17 -> 18 [size =\"47099904\"]\n  18 [size=\"133113173\", alpha=\"0.10\", expect_size=\"39933952\"] \n  18 -> 19 [size =\"39933952\"]\n  19 [size=\"108673707\", alpha=\"0.15\", expect_size=\"32602112\"] \n  19 -> 20 [size =\"32602112\"]\n  20 [size=\"25736533\", alpha=\"0.11\", expect_size=\"7720960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37297493\", alpha=\"0.18\", expect_size=\"11189248\"] \n  1 -> 2 [size =\"11189248\"]\n  2 [size=\"88692053\", alpha=\"0.15\", expect_size=\"26607616\"] \n  2 -> 3 [size =\"26607616\"]\n  3 [size=\"156487680\", alpha=\"0.05\", expect_size=\"46946304\"] \n  3 -> 4 [size =\"46946304\"]\n  4 [size=\"86005760\", alpha=\"0.08\", expect_size=\"25801728\"] \n  4 -> 5 [size =\"25801728\"]\n  5 [size=\"161153707\", alpha=\"0.10\", expect_size=\"48346112\"] \n  5 -> 6 [size =\"48346112\"]\n  5 -> 7 [size =\"48346112\"]\n  6 [size=\"77588480\", alpha=\"0.13\", expect_size=\"23276544\"] \n  6 -> 8 [size =\"23276544\"]\n  7 [size=\"142216533\", alpha=\"0.03\", expect_size=\"42664960\"] \n  7 -> 8 [size =\"42664960\"]\n  8 [size=\"52776960\", alpha=\"0.16\", expect_size=\"15833088\"] \n  8 -> 9 [size =\"15833088\"]\n  9 [size=\"73663147\", alpha=\"0.02\", expect_size=\"22098944\"] \n  9 -> 10 [size =\"22098944\"]\n  9 -> 11 [size =\"22098944\"]\n  10 [size=\"150558720\", alpha=\"0.03\", expect_size=\"45167616\"] \n  10 -> 12 [size =\"45167616\"]\n  10 -> 13 [size =\"45167616\"]\n  11 [size=\"133741227\", alpha=\"0.05\", expect_size=\"40122368\"] \n  11 -> 13 [size =\"40122368\"]\n  12 [size=\"114206720\", alpha=\"0.12\", expect_size=\"34262016\"] \n  12 -> 14 [size =\"34262016\"]\n  13 [size=\"73280853\", alpha=\"0.11\", expect_size=\"21984256\"] \n  13 -> 14 [size =\"21984256\"]\n  14 [size=\"113636693\", alpha=\"0.11\", expect_size=\"34091008\"] \n  14 -> 15 [size =\"34091008\"]\n  15 [size=\"22268587\", alpha=\"0.18\", expect_size=\"6680576\"] \n  15 -> 16 [size =\"6680576\"]\n  16 [size=\"101836800\", alpha=\"0.09\", expect_size=\"30551040\"] \n  16 -> 17 [size =\"30551040\"]\n  17 [size=\"49414827\", alpha=\"0.14\", expect_size=\"14824448\"] \n  17 -> 18 [size =\"14824448\"]\n  18 [size=\"74134187\", alpha=\"0.13\", expect_size=\"22240256\"] \n  18 -> 19 [size =\"22240256\"]\n  19 [size=\"39775573\", alpha=\"0.19\", expect_size=\"11932672\"] \n  19 -> 20 [size =\"11932672\"]\n  20 [size=\"52490240\", alpha=\"0.08\", expect_size=\"15747072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48663040\", alpha=\"0.02\", expect_size=\"19465216\"] \n  1 -> 13 [size =\"19465216\"]\n  1 -> 14 [size =\"19465216\"]\n  1 -> 15 [size =\"19465216\"]\n  1 -> 16 [size =\"19465216\"]\n  2 [size=\"97221120\", alpha=\"0.16\", expect_size=\"38888448\"] \n  2 -> 11 [size =\"38888448\"]\n  2 -> 13 [size =\"38888448\"]\n  2 -> 14 [size =\"38888448\"]\n  2 -> 15 [size =\"38888448\"]\n  2 -> 16 [size =\"38888448\"]\n  3 [size=\"47854080\", alpha=\"0.13\", expect_size=\"19141632\"] \n  3 -> 8 [size =\"19141632\"]\n  3 -> 9 [size =\"19141632\"]\n  3 -> 11 [size =\"19141632\"]\n  3 -> 13 [size =\"19141632\"]\n  3 -> 16 [size =\"19141632\"]\n  4 [size=\"25267200\", alpha=\"0.03\", expect_size=\"10106880\"] \n  4 -> 8 [size =\"10106880\"]\n  4 -> 11 [size =\"10106880\"]\n  4 -> 12 [size =\"10106880\"]\n  4 -> 15 [size =\"10106880\"]\n  4 -> 16 [size =\"10106880\"]\n  5 [size=\"127362560\", alpha=\"0.03\", expect_size=\"50945024\"] \n  5 -> 8 [size =\"50945024\"]\n  5 -> 9 [size =\"50945024\"]\n  5 -> 10 [size =\"50945024\"]\n  5 -> 11 [size =\"50945024\"]\n  5 -> 15 [size =\"50945024\"]\n  5 -> 16 [size =\"50945024\"]\n  6 [size=\"15301120\", alpha=\"0.02\", expect_size=\"6120448\"] \n  6 -> 8 [size =\"6120448\"]\n  6 -> 10 [size =\"6120448\"]\n  6 -> 11 [size =\"6120448\"]\n  6 -> 12 [size =\"6120448\"]\n  6 -> 14 [size =\"6120448\"]\n  6 -> 15 [size =\"6120448\"]\n  6 -> 16 [size =\"6120448\"]\n  7 [size=\"67312640\", alpha=\"0.03\", expect_size=\"26925056\"] \n  7 -> 9 [size =\"26925056\"]\n  7 -> 10 [size =\"26925056\"]\n  7 -> 14 [size =\"26925056\"]\n  7 -> 15 [size =\"26925056\"]\n  7 -> 16 [size =\"26925056\"]\n  8 [size=\"62366720\", alpha=\"0.07\", expect_size=\"24946688\"] \n  8 -> 17 [size =\"24946688\"]\n  9 [size=\"117370880\", alpha=\"0.01\", expect_size=\"46948352\"] \n  9 -> 19 [size =\"46948352\"]\n  10 [size=\"21030400\", alpha=\"0.17\", expect_size=\"8412160\"] \n  10 -> 19 [size =\"8412160\"]\n  11 [size=\"62494720\", alpha=\"0.12\", expect_size=\"24997888\"] \n  11 -> 17 [size =\"24997888\"]\n  11 -> 18 [size =\"24997888\"]\n  11 -> 19 [size =\"24997888\"]\n  12 [size=\"76902400\", alpha=\"0.03\", expect_size=\"30760960\"] \n  13 [size=\"55930880\", alpha=\"0.16\", expect_size=\"22372352\"] \n  13 -> 17 [size =\"22372352\"]\n  13 -> 20 [size =\"22372352\"]\n  14 [size=\"15255040\", alpha=\"0.08\", expect_size=\"6102016\"] \n  14 -> 17 [size =\"6102016\"]\n  14 -> 19 [size =\"6102016\"]\n  15 [size=\"30863360\", alpha=\"0.13\", expect_size=\"12345344\"] \n  15 -> 17 [size =\"12345344\"]\n  16 [size=\"49489920\", alpha=\"0.17\", expect_size=\"19795968\"] \n  16 -> 17 [size =\"19795968\"]\n  17 [size=\"61437440\", alpha=\"0.10\", expect_size=\"24574976\"] \n  18 [size=\"76810240\", alpha=\"0.04\", expect_size=\"30724096\"] \n  19 [size=\"119275520\", alpha=\"0.16\", expect_size=\"47710208\"] \n  20 [size=\"124746240\", alpha=\"0.14\", expect_size=\"49898496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98822144\", alpha=\"0.09\", expect_size=\"49411072\"] \n  1 -> 5 [size =\"49411072\"]\n  1 -> 6 [size =\"49411072\"]\n  1 -> 7 [size =\"49411072\"]\n  2 [size=\"101558272\", alpha=\"0.10\", expect_size=\"50779136\"] \n  2 -> 4 [size =\"50779136\"]\n  2 -> 5 [size =\"50779136\"]\n  3 [size=\"96083968\", alpha=\"0.12\", expect_size=\"48041984\"] \n  3 -> 4 [size =\"48041984\"]\n  3 -> 7 [size =\"48041984\"]\n  4 [size=\"94418944\", alpha=\"0.04\", expect_size=\"47209472\"] \n  5 [size=\"48893952\", alpha=\"0.15\", expect_size=\"24446976\"] \n  5 -> 8 [size =\"24446976\"]\n  5 -> 9 [size =\"24446976\"]\n  5 -> 11 [size =\"24446976\"]\n  6 [size=\"64309248\", alpha=\"0.18\", expect_size=\"32154624\"] \n  6 -> 9 [size =\"32154624\"]\n  7 [size=\"46315520\", alpha=\"0.06\", expect_size=\"23157760\"] \n  7 -> 9 [size =\"23157760\"]\n  7 -> 10 [size =\"23157760\"]\n  7 -> 11 [size =\"23157760\"]\n  8 [size=\"83947520\", alpha=\"0.14\", expect_size=\"41973760\"] \n  8 -> 12 [size =\"41973760\"]\n  8 -> 13 [size =\"41973760\"]\n  8 -> 14 [size =\"41973760\"]\n  9 [size=\"39133184\", alpha=\"0.06\", expect_size=\"19566592\"] \n  9 -> 12 [size =\"19566592\"]\n  10 [size=\"35141632\", alpha=\"0.19\", expect_size=\"17570816\"] \n  10 -> 14 [size =\"17570816\"]\n  11 [size=\"41271296\", alpha=\"0.01\", expect_size=\"20635648\"] \n  11 -> 14 [size =\"20635648\"]\n  12 [size=\"82294784\", alpha=\"0.15\", expect_size=\"41147392\"] \n  12 -> 15 [size =\"41147392\"]\n  12 -> 18 [size =\"41147392\"]\n  13 [size=\"33302528\", alpha=\"0.09\", expect_size=\"16651264\"] \n  13 -> 17 [size =\"16651264\"]\n  13 -> 18 [size =\"16651264\"]\n  14 [size=\"91615232\", alpha=\"0.01\", expect_size=\"45807616\"] \n  14 -> 15 [size =\"45807616\"]\n  14 -> 16 [size =\"45807616\"]\n  14 -> 17 [size =\"45807616\"]\n  15 [size=\"15116288\", alpha=\"0.02\", expect_size=\"7558144\"] \n  16 [size=\"85866496\", alpha=\"0.03\", expect_size=\"42933248\"] \n  16 -> 19 [size =\"42933248\"]\n  17 [size=\"74268672\", alpha=\"0.17\", expect_size=\"37134336\"] \n  17 -> 19 [size =\"37134336\"]\n  17 -> 20 [size =\"37134336\"]\n  18 [size=\"101175296\", alpha=\"0.02\", expect_size=\"50587648\"] \n  19 [size=\"71059456\", alpha=\"0.09\", expect_size=\"35529728\"] \n  20 [size=\"99733504\", alpha=\"0.04\", expect_size=\"49866752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32781653\", alpha=\"0.10\", expect_size=\"9834496\"] \n  1 -> 2 [size =\"9834496\"]\n  1 -> 3 [size =\"9834496\"]\n  2 [size=\"129699840\", alpha=\"0.07\", expect_size=\"38909952\"] \n  2 -> 4 [size =\"38909952\"]\n  3 [size=\"78701227\", alpha=\"0.09\", expect_size=\"23610368\"] \n  4 [size=\"113943893\", alpha=\"0.13\", expect_size=\"34183168\"] \n  4 -> 5 [size =\"34183168\"]\n  5 [size=\"48561493\", alpha=\"0.19\", expect_size=\"14568448\"] \n  5 -> 6 [size =\"14568448\"]\n  5 -> 7 [size =\"14568448\"]\n  6 [size=\"64723627\", alpha=\"0.04\", expect_size=\"19417088\"] \n  7 [size=\"56507733\", alpha=\"0.06\", expect_size=\"16952320\"] \n  7 -> 8 [size =\"16952320\"]\n  8 [size=\"137615360\", alpha=\"0.19\", expect_size=\"41284608\"] \n  8 -> 9 [size =\"41284608\"]\n  8 -> 10 [size =\"41284608\"]\n  9 [size=\"169403733\", alpha=\"0.12\", expect_size=\"50821120\"] \n  9 -> 11 [size =\"50821120\"]\n  10 [size=\"42038613\", alpha=\"0.06\", expect_size=\"12611584\"] \n  11 [size=\"89245013\", alpha=\"0.02\", expect_size=\"26773504\"] \n  11 -> 12 [size =\"26773504\"]\n  11 -> 13 [size =\"26773504\"]\n  12 [size=\"165266773\", alpha=\"0.18\", expect_size=\"49580032\"] \n  12 -> 15 [size =\"49580032\"]\n  13 [size=\"62627840\", alpha=\"0.11\", expect_size=\"18788352\"] \n  13 -> 14 [size =\"18788352\"]\n  14 [size=\"134550187\", alpha=\"0.18\", expect_size=\"40365056\"] \n  15 [size=\"76813653\", alpha=\"0.11\", expect_size=\"23044096\"] \n  15 -> 16 [size =\"23044096\"]\n  16 [size=\"72816640\", alpha=\"0.11\", expect_size=\"21844992\"] \n  16 -> 17 [size =\"21844992\"]\n  17 [size=\"106048853\", alpha=\"0.13\", expect_size=\"31814656\"] \n  17 -> 18 [size =\"31814656\"]\n  17 -> 19 [size =\"31814656\"]\n  18 [size=\"152019627\", alpha=\"0.15\", expect_size=\"45605888\"] \n  19 [size=\"143889067\", alpha=\"0.08\", expect_size=\"43166720\"] \n  19 -> 20 [size =\"43166720\"]\n  20 [size=\"77844480\", alpha=\"0.06\", expect_size=\"23353344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18455893\", alpha=\"0.12\", expect_size=\"5536768\"] \n  1 -> 3 [size =\"5536768\"]\n  2 [size=\"130846720\", alpha=\"0.05\", expect_size=\"39254016\"] \n  2 -> 3 [size =\"39254016\"]\n  3 [size=\"44468907\", alpha=\"0.01\", expect_size=\"13340672\"] \n  3 -> 4 [size =\"13340672\"]\n  3 -> 5 [size =\"13340672\"]\n  4 [size=\"61149867\", alpha=\"0.17\", expect_size=\"18344960\"] \n  4 -> 7 [size =\"18344960\"]\n  5 [size=\"62593707\", alpha=\"0.02\", expect_size=\"18778112\"] \n  5 -> 6 [size =\"18778112\"]\n  5 -> 7 [size =\"18778112\"]\n  6 [size=\"103550293\", alpha=\"0.08\", expect_size=\"31065088\"] \n  6 -> 8 [size =\"31065088\"]\n  7 [size=\"57125547\", alpha=\"0.14\", expect_size=\"17137664\"] \n  7 -> 8 [size =\"17137664\"]\n  8 [size=\"161781760\", alpha=\"0.02\", expect_size=\"48534528\"] \n  8 -> 9 [size =\"48534528\"]\n  8 -> 10 [size =\"48534528\"]\n  9 [size=\"153098240\", alpha=\"0.17\", expect_size=\"45929472\"] \n  9 -> 11 [size =\"45929472\"]\n  9 -> 12 [size =\"45929472\"]\n  10 [size=\"19810987\", alpha=\"0.11\", expect_size=\"5943296\"] \n  10 -> 11 [size =\"5943296\"]\n  10 -> 12 [size =\"5943296\"]\n  11 [size=\"117899947\", alpha=\"0.09\", expect_size=\"35369984\"] \n  11 -> 13 [size =\"35369984\"]\n  11 -> 14 [size =\"35369984\"]\n  12 [size=\"51623253\", alpha=\"0.16\", expect_size=\"15486976\"] \n  12 -> 13 [size =\"15486976\"]\n  12 -> 14 [size =\"15486976\"]\n  13 [size=\"89326933\", alpha=\"0.20\", expect_size=\"26798080\"] \n  14 [size=\"94218240\", alpha=\"0.17\", expect_size=\"28265472\"] \n  14 -> 15 [size =\"28265472\"]\n  15 [size=\"70932480\", alpha=\"0.08\", expect_size=\"21279744\"] \n  15 -> 16 [size =\"21279744\"]\n  16 [size=\"88651093\", alpha=\"0.11\", expect_size=\"26595328\"] \n  16 -> 17 [size =\"26595328\"]\n  16 -> 18 [size =\"26595328\"]\n  17 [size=\"155088213\", alpha=\"0.14\", expect_size=\"46526464\"] \n  17 -> 19 [size =\"46526464\"]\n  17 -> 20 [size =\"46526464\"]\n  18 [size=\"107089920\", alpha=\"0.10\", expect_size=\"32126976\"] \n  18 -> 20 [size =\"32126976\"]\n  19 [size=\"119159467\", alpha=\"0.04\", expect_size=\"35747840\"] \n  20 [size=\"98177707\", alpha=\"0.04\", expect_size=\"29453312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33317547\", alpha=\"0.15\", expect_size=\"9995264\"] \n  1 -> 4 [size =\"9995264\"]\n  2 [size=\"91613867\", alpha=\"0.19\", expect_size=\"27484160\"] \n  2 -> 4 [size =\"27484160\"]\n  2 -> 5 [size =\"27484160\"]\n  3 [size=\"145332907\", alpha=\"0.01\", expect_size=\"43599872\"] \n  3 -> 5 [size =\"43599872\"]\n  3 -> 6 [size =\"43599872\"]\n  4 [size=\"118903467\", alpha=\"0.15\", expect_size=\"35671040\"] \n  4 -> 7 [size =\"35671040\"]\n  5 [size=\"27511467\", alpha=\"0.14\", expect_size=\"8253440\"] \n  6 [size=\"79284907\", alpha=\"0.12\", expect_size=\"23785472\"] \n  6 -> 7 [size =\"23785472\"]\n  6 -> 8 [size =\"23785472\"]\n  6 -> 9 [size =\"23785472\"]\n  6 -> 10 [size =\"23785472\"]\n  7 [size=\"57446400\", alpha=\"0.11\", expect_size=\"17233920\"] \n  7 -> 11 [size =\"17233920\"]\n  8 [size=\"87900160\", alpha=\"0.01\", expect_size=\"26370048\"] \n  8 -> 12 [size =\"26370048\"]\n  8 -> 13 [size =\"26370048\"]\n  9 [size=\"95368533\", alpha=\"0.03\", expect_size=\"28610560\"] \n  9 -> 11 [size =\"28610560\"]\n  10 [size=\"59586560\", alpha=\"0.18\", expect_size=\"17875968\"] \n  11 [size=\"42052267\", alpha=\"0.16\", expect_size=\"12615680\"] \n  11 -> 16 [size =\"12615680\"]\n  11 -> 17 [size =\"12615680\"]\n  12 [size=\"162536107\", alpha=\"0.00\", expect_size=\"48760832\"] \n  12 -> 14 [size =\"48760832\"]\n  12 -> 16 [size =\"48760832\"]\n  13 [size=\"154722987\", alpha=\"0.11\", expect_size=\"46416896\"] \n  13 -> 15 [size =\"46416896\"]\n  14 [size=\"164983467\", alpha=\"0.05\", expect_size=\"49495040\"] \n  14 -> 20 [size =\"49495040\"]\n  15 [size=\"129157120\", alpha=\"0.15\", expect_size=\"38747136\"] \n  15 -> 19 [size =\"38747136\"]\n  15 -> 20 [size =\"38747136\"]\n  16 [size=\"78909440\", alpha=\"0.00\", expect_size=\"23672832\"] \n  16 -> 18 [size =\"23672832\"]\n  17 [size=\"173247147\", alpha=\"0.01\", expect_size=\"51974144\"] \n  17 -> 19 [size =\"51974144\"]\n  18 [size=\"100706987\", alpha=\"0.08\", expect_size=\"30212096\"] \n  19 [size=\"109827413\", alpha=\"0.18\", expect_size=\"32948224\"] \n  20 [size=\"134696960\", alpha=\"0.16\", expect_size=\"40409088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160000000\", alpha=\"0.15\", expect_size=\"48000000\"] \n  1 -> 15 [size =\"48000000\"]\n  1 -> 18 [size =\"48000000\"]\n  2 [size=\"173045760\", alpha=\"0.16\", expect_size=\"51913728\"] \n  2 -> 17 [size =\"51913728\"]\n  2 -> 19 [size =\"51913728\"]\n  3 [size=\"113138347\", alpha=\"0.15\", expect_size=\"33941504\"] \n  3 -> 15 [size =\"33941504\"]\n  3 -> 16 [size =\"33941504\"]\n  3 -> 19 [size =\"33941504\"]\n  4 [size=\"113343147\", alpha=\"0.19\", expect_size=\"34002944\"] \n  4 -> 15 [size =\"34002944\"]\n  5 [size=\"70027947\", alpha=\"0.09\", expect_size=\"21008384\"] \n  6 [size=\"101143893\", alpha=\"0.03\", expect_size=\"30343168\"] \n  6 -> 15 [size =\"30343168\"]\n  7 [size=\"118889813\", alpha=\"0.03\", expect_size=\"35666944\"] \n  8 [size=\"39591253\", alpha=\"0.10\", expect_size=\"11877376\"] \n  8 -> 19 [size =\"11877376\"]\n  9 [size=\"106888533\", alpha=\"0.01\", expect_size=\"32066560\"] \n  9 -> 15 [size =\"32066560\"]\n  10 [size=\"115585707\", alpha=\"0.16\", expect_size=\"34675712\"] \n  10 -> 15 [size =\"34675712\"]\n  10 -> 18 [size =\"34675712\"]\n  11 [size=\"80462507\", alpha=\"0.07\", expect_size=\"24138752\"] \n  11 -> 15 [size =\"24138752\"]\n  11 -> 19 [size =\"24138752\"]\n  12 [size=\"41000960\", alpha=\"0.17\", expect_size=\"12300288\"] \n  12 -> 15 [size =\"12300288\"]\n  12 -> 19 [size =\"12300288\"]\n  13 [size=\"168949760\", alpha=\"0.11\", expect_size=\"50684928\"] \n  13 -> 15 [size =\"50684928\"]\n  14 [size=\"133328213\", alpha=\"0.19\", expect_size=\"39998464\"] \n  14 -> 15 [size =\"39998464\"]\n  14 -> 20 [size =\"39998464\"]\n  15 [size=\"123678720\", alpha=\"0.09\", expect_size=\"37103616\"] \n  16 [size=\"39994027\", alpha=\"0.09\", expect_size=\"11998208\"] \n  17 [size=\"67229013\", alpha=\"0.08\", expect_size=\"20168704\"] \n  18 [size=\"92125867\", alpha=\"0.13\", expect_size=\"27637760\"] \n  19 [size=\"172267520\", alpha=\"0.10\", expect_size=\"51680256\"] \n  20 [size=\"26251947\", alpha=\"0.17\", expect_size=\"7875584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104116907\", alpha=\"0.02\", expect_size=\"31235072\"] \n  1 -> 3 [size =\"31235072\"]\n  2 [size=\"65239040\", alpha=\"0.16\", expect_size=\"19571712\"] \n  2 -> 3 [size =\"19571712\"]\n  3 [size=\"69188267\", alpha=\"0.14\", expect_size=\"20756480\"] \n  3 -> 4 [size =\"20756480\"]\n  4 [size=\"71949653\", alpha=\"0.00\", expect_size=\"21584896\"] \n  4 -> 5 [size =\"21584896\"]\n  5 [size=\"90395307\", alpha=\"0.11\", expect_size=\"27118592\"] \n  5 -> 6 [size =\"27118592\"]\n  5 -> 7 [size =\"27118592\"]\n  6 [size=\"47694507\", alpha=\"0.09\", expect_size=\"14308352\"] \n  6 -> 8 [size =\"14308352\"]\n  7 [size=\"114971307\", alpha=\"0.09\", expect_size=\"34491392\"] \n  7 -> 8 [size =\"34491392\"]\n  8 [size=\"55476907\", alpha=\"0.15\", expect_size=\"16643072\"] \n  8 -> 9 [size =\"16643072\"]\n  9 [size=\"130116267\", alpha=\"0.08\", expect_size=\"39034880\"] \n  9 -> 10 [size =\"39034880\"]\n  10 [size=\"90774187\", alpha=\"0.00\", expect_size=\"27232256\"] \n  10 -> 11 [size =\"27232256\"]\n  11 [size=\"108752213\", alpha=\"0.12\", expect_size=\"32625664\"] \n  11 -> 12 [size =\"32625664\"]\n  11 -> 13 [size =\"32625664\"]\n  12 [size=\"120917333\", alpha=\"0.01\", expect_size=\"36275200\"] \n  12 -> 15 [size =\"36275200\"]\n  13 [size=\"93231787\", alpha=\"0.01\", expect_size=\"27969536\"] \n  13 -> 14 [size =\"27969536\"]\n  13 -> 15 [size =\"27969536\"]\n  14 [size=\"43059200\", alpha=\"0.15\", expect_size=\"12917760\"] \n  14 -> 16 [size =\"12917760\"]\n  14 -> 17 [size =\"12917760\"]\n  15 [size=\"45769387\", alpha=\"0.12\", expect_size=\"13730816\"] \n  15 -> 16 [size =\"13730816\"]\n  15 -> 17 [size =\"13730816\"]\n  16 [size=\"130734080\", alpha=\"0.17\", expect_size=\"39220224\"] \n  16 -> 18 [size =\"39220224\"]\n  17 [size=\"40973653\", alpha=\"0.09\", expect_size=\"12292096\"] \n  17 -> 18 [size =\"12292096\"]\n  17 -> 19 [size =\"12292096\"]\n  18 [size=\"109175467\", alpha=\"0.08\", expect_size=\"32752640\"] \n  18 -> 20 [size =\"32752640\"]\n  19 [size=\"71260160\", alpha=\"0.15\", expect_size=\"21378048\"] \n  19 -> 20 [size =\"21378048\"]\n  20 [size=\"134580907\", alpha=\"0.17\", expect_size=\"40374272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79651840\", alpha=\"0.06\", expect_size=\"31860736\"] \n  1 -> 7 [size =\"31860736\"]\n  2 [size=\"103741440\", alpha=\"0.08\", expect_size=\"41496576\"] \n  2 -> 6 [size =\"41496576\"]\n  2 -> 7 [size =\"41496576\"]\n  3 [size=\"38753280\", alpha=\"0.20\", expect_size=\"15501312\"] \n  3 -> 6 [size =\"15501312\"]\n  4 [size=\"124016640\", alpha=\"0.07\", expect_size=\"49606656\"] \n  4 -> 5 [size =\"49606656\"]\n  5 [size=\"89469440\", alpha=\"0.02\", expect_size=\"35787776\"] \n  5 -> 8 [size =\"35787776\"]\n  6 [size=\"23296000\", alpha=\"0.14\", expect_size=\"9318400\"] \n  6 -> 9 [size =\"9318400\"]\n  6 -> 10 [size =\"9318400\"]\n  7 [size=\"128194560\", alpha=\"0.15\", expect_size=\"51277824\"] \n  7 -> 9 [size =\"51277824\"]\n  8 [size=\"98629120\", alpha=\"0.09\", expect_size=\"39451648\"] \n  8 -> 13 [size =\"39451648\"]\n  9 [size=\"52119040\", alpha=\"0.19\", expect_size=\"20847616\"] \n  9 -> 12 [size =\"20847616\"]\n  10 [size=\"69135360\", alpha=\"0.04\", expect_size=\"27654144\"] \n  10 -> 11 [size =\"27654144\"]\n  10 -> 12 [size =\"27654144\"]\n  11 [size=\"74670080\", alpha=\"0.04\", expect_size=\"29868032\"] \n  11 -> 14 [size =\"29868032\"]\n  11 -> 15 [size =\"29868032\"]\n  11 -> 16 [size =\"29868032\"]\n  12 [size=\"111513600\", alpha=\"0.16\", expect_size=\"44605440\"] \n  13 [size=\"43166720\", alpha=\"0.17\", expect_size=\"17266688\"] \n  13 -> 15 [size =\"17266688\"]\n  13 -> 16 [size =\"17266688\"]\n  14 [size=\"41523200\", alpha=\"0.03\", expect_size=\"16609280\"] \n  14 -> 17 [size =\"16609280\"]\n  15 [size=\"81587200\", alpha=\"0.13\", expect_size=\"32634880\"] \n  15 -> 18 [size =\"32634880\"]\n  16 [size=\"94927360\", alpha=\"0.14\", expect_size=\"37970944\"] \n  16 -> 19 [size =\"37970944\"]\n  17 [size=\"56688640\", alpha=\"0.12\", expect_size=\"22675456\"] \n  18 [size=\"25208320\", alpha=\"0.18\", expect_size=\"10083328\"] \n  19 [size=\"79790080\", alpha=\"0.10\", expect_size=\"31916032\"] \n  19 -> 20 [size =\"31916032\"]\n  20 [size=\"73364480\", alpha=\"0.11\", expect_size=\"29345792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59607040\", alpha=\"0.12\", expect_size=\"17882112\"] \n  1 -> 5 [size =\"17882112\"]\n  1 -> 6 [size =\"17882112\"]\n  1 -> 7 [size =\"17882112\"]\n  2 [size=\"93054293\", alpha=\"0.08\", expect_size=\"27916288\"] \n  2 -> 6 [size =\"27916288\"]\n  2 -> 7 [size =\"27916288\"]\n  3 [size=\"52394667\", alpha=\"0.00\", expect_size=\"15718400\"] \n  3 -> 5 [size =\"15718400\"]\n  3 -> 7 [size =\"15718400\"]\n  4 [size=\"159679147\", alpha=\"0.17\", expect_size=\"47903744\"] \n  4 -> 5 [size =\"47903744\"]\n  4 -> 7 [size =\"47903744\"]\n  5 [size=\"131505493\", alpha=\"0.12\", expect_size=\"39451648\"] \n  5 -> 8 [size =\"39451648\"]\n  5 -> 9 [size =\"39451648\"]\n  5 -> 10 [size =\"39451648\"]\n  6 [size=\"52183040\", alpha=\"0.17\", expect_size=\"15654912\"] \n  6 -> 8 [size =\"15654912\"]\n  6 -> 9 [size =\"15654912\"]\n  6 -> 10 [size =\"15654912\"]\n  6 -> 11 [size =\"15654912\"]\n  7 [size=\"117275307\", alpha=\"0.06\", expect_size=\"35182592\"] \n  7 -> 8 [size =\"35182592\"]\n  7 -> 9 [size =\"35182592\"]\n  7 -> 10 [size =\"35182592\"]\n  7 -> 11 [size =\"35182592\"]\n  8 [size=\"115636907\", alpha=\"0.09\", expect_size=\"34691072\"] \n  8 -> 12 [size =\"34691072\"]\n  8 -> 13 [size =\"34691072\"]\n  8 -> 14 [size =\"34691072\"]\n  9 [size=\"126842880\", alpha=\"0.11\", expect_size=\"38052864\"] \n  9 -> 12 [size =\"38052864\"]\n  9 -> 13 [size =\"38052864\"]\n  9 -> 14 [size =\"38052864\"]\n  10 [size=\"62190933\", alpha=\"0.08\", expect_size=\"18657280\"] \n  10 -> 12 [size =\"18657280\"]\n  10 -> 13 [size =\"18657280\"]\n  10 -> 14 [size =\"18657280\"]\n  11 [size=\"95890773\", alpha=\"0.01\", expect_size=\"28767232\"] \n  11 -> 12 [size =\"28767232\"]\n  11 -> 13 [size =\"28767232\"]\n  11 -> 14 [size =\"28767232\"]\n  12 [size=\"32986453\", alpha=\"0.07\", expect_size=\"9895936\"] \n  12 -> 15 [size =\"9895936\"]\n  12 -> 17 [size =\"9895936\"]\n  12 -> 18 [size =\"9895936\"]\n  13 [size=\"99549867\", alpha=\"0.13\", expect_size=\"29864960\"] \n  13 -> 15 [size =\"29864960\"]\n  13 -> 16 [size =\"29864960\"]\n  13 -> 18 [size =\"29864960\"]\n  14 [size=\"102198613\", alpha=\"0.09\", expect_size=\"30659584\"] \n  14 -> 15 [size =\"30659584\"]\n  14 -> 16 [size =\"30659584\"]\n  14 -> 18 [size =\"30659584\"]\n  15 [size=\"80247467\", alpha=\"0.18\", expect_size=\"24074240\"] \n  15 -> 20 [size =\"24074240\"]\n  16 [size=\"20176213\", alpha=\"0.08\", expect_size=\"6052864\"] \n  17 [size=\"150855680\", alpha=\"0.17\", expect_size=\"45256704\"] \n  17 -> 19 [size =\"45256704\"]\n  18 [size=\"41205760\", alpha=\"0.15\", expect_size=\"12361728\"] \n  18 -> 19 [size =\"12361728\"]\n  19 [size=\"111643307\", alpha=\"0.10\", expect_size=\"33492992\"] \n  20 [size=\"37410133\", alpha=\"0.10\", expect_size=\"11223040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44526080\", alpha=\"0.18\", expect_size=\"17810432\"] \n  1 -> 2 [size =\"17810432\"]\n  2 [size=\"22248960\", alpha=\"0.18\", expect_size=\"8899584\"] \n  2 -> 3 [size =\"8899584\"]\n  3 [size=\"98979840\", alpha=\"0.02\", expect_size=\"39591936\"] \n  3 -> 4 [size =\"39591936\"]\n  4 [size=\"81825280\", alpha=\"0.03\", expect_size=\"32730112\"] \n  4 -> 5 [size =\"32730112\"]\n  5 [size=\"129978880\", alpha=\"0.11\", expect_size=\"51991552\"] \n  5 -> 6 [size =\"51991552\"]\n  6 [size=\"38958080\", alpha=\"0.01\", expect_size=\"15583232\"] \n  6 -> 7 [size =\"15583232\"]\n  7 [size=\"127165440\", alpha=\"0.04\", expect_size=\"50866176\"] \n  7 -> 8 [size =\"50866176\"]\n  8 [size=\"45816320\", alpha=\"0.15\", expect_size=\"18326528\"] \n  8 -> 9 [size =\"18326528\"]\n  9 [size=\"96476160\", alpha=\"0.02\", expect_size=\"38590464\"] \n  9 -> 10 [size =\"38590464\"]\n  10 [size=\"116825600\", alpha=\"0.04\", expect_size=\"46730240\"] \n  10 -> 11 [size =\"46730240\"]\n  11 [size=\"34449920\", alpha=\"0.01\", expect_size=\"13779968\"] \n  11 -> 12 [size =\"13779968\"]\n  12 [size=\"23347200\", alpha=\"0.13\", expect_size=\"9338880\"] \n  12 -> 13 [size =\"9338880\"]\n  13 [size=\"129817600\", alpha=\"0.03\", expect_size=\"51927040\"] \n  13 -> 14 [size =\"51927040\"]\n  14 [size=\"24414720\", alpha=\"0.02\", expect_size=\"9765888\"] \n  14 -> 15 [size =\"9765888\"]\n  15 [size=\"41827840\", alpha=\"0.15\", expect_size=\"16731136\"] \n  15 -> 16 [size =\"16731136\"]\n  16 [size=\"109588480\", alpha=\"0.10\", expect_size=\"43835392\"] \n  16 -> 17 [size =\"43835392\"]\n  17 [size=\"117603840\", alpha=\"0.10\", expect_size=\"47041536\"] \n  17 -> 18 [size =\"47041536\"]\n  18 [size=\"25817600\", alpha=\"0.16\", expect_size=\"10327040\"] \n  18 -> 19 [size =\"10327040\"]\n  19 [size=\"114442240\", alpha=\"0.11\", expect_size=\"45776896\"] \n  19 -> 20 [size =\"45776896\"]\n  20 [size=\"123886080\", alpha=\"0.14\", expect_size=\"49554432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47532032\", alpha=\"0.16\", expect_size=\"23766016\"] \n  1 -> 2 [size =\"23766016\"]\n  2 [size=\"38563840\", alpha=\"0.07\", expect_size=\"19281920\"] \n  2 -> 3 [size =\"19281920\"]\n  3 [size=\"21884928\", alpha=\"0.05\", expect_size=\"10942464\"] \n  3 -> 4 [size =\"10942464\"]\n  4 [size=\"27293696\", alpha=\"0.00\", expect_size=\"13646848\"] \n  4 -> 5 [size =\"13646848\"]\n  5 [size=\"48795648\", alpha=\"0.11\", expect_size=\"24397824\"] \n  5 -> 6 [size =\"24397824\"]\n  6 [size=\"57159680\", alpha=\"0.06\", expect_size=\"28579840\"] \n  6 -> 7 [size =\"28579840\"]\n  7 [size=\"40964096\", alpha=\"0.12\", expect_size=\"20482048\"] \n  7 -> 8 [size =\"20482048\"]\n  8 [size=\"70977536\", alpha=\"0.18\", expect_size=\"35488768\"] \n  8 -> 9 [size =\"35488768\"]\n  9 [size=\"25632768\", alpha=\"0.03\", expect_size=\"12816384\"] \n  9 -> 10 [size =\"12816384\"]\n  10 [size=\"74668032\", alpha=\"0.13\", expect_size=\"37334016\"] \n  10 -> 11 [size =\"37334016\"]\n  11 [size=\"84680704\", alpha=\"0.01\", expect_size=\"42340352\"] \n  11 -> 12 [size =\"42340352\"]\n  12 [size=\"64724992\", alpha=\"0.12\", expect_size=\"32362496\"] \n  12 -> 13 [size =\"32362496\"]\n  13 [size=\"96227328\", alpha=\"0.10\", expect_size=\"48113664\"] \n  13 -> 14 [size =\"48113664\"]\n  14 [size=\"26294272\", alpha=\"0.12\", expect_size=\"13147136\"] \n  14 -> 15 [size =\"13147136\"]\n  15 [size=\"27289600\", alpha=\"0.01\", expect_size=\"13644800\"] \n  15 -> 16 [size =\"13644800\"]\n  16 [size=\"81100800\", alpha=\"0.01\", expect_size=\"40550400\"] \n  16 -> 17 [size =\"40550400\"]\n  17 [size=\"12867584\", alpha=\"0.18\", expect_size=\"6433792\"] \n  17 -> 18 [size =\"6433792\"]\n  18 [size=\"68542464\", alpha=\"0.16\", expect_size=\"34271232\"] \n  18 -> 19 [size =\"34271232\"]\n  19 [size=\"60018688\", alpha=\"0.04\", expect_size=\"30009344\"] \n  19 -> 20 [size =\"30009344\"]\n  20 [size=\"73537536\", alpha=\"0.09\", expect_size=\"36768768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126630400\", alpha=\"0.18\", expect_size=\"50652160\"] \n  1 -> 3 [size =\"50652160\"]\n  2 [size=\"65118720\", alpha=\"0.09\", expect_size=\"26047488\"] \n  2 -> 3 [size =\"26047488\"]\n  3 [size=\"77504000\", alpha=\"0.14\", expect_size=\"31001600\"] \n  3 -> 4 [size =\"31001600\"]\n  3 -> 5 [size =\"31001600\"]\n  4 [size=\"18979840\", alpha=\"0.16\", expect_size=\"7591936\"] \n  4 -> 6 [size =\"7591936\"]\n  5 [size=\"19246080\", alpha=\"0.09\", expect_size=\"7698432\"] \n  5 -> 6 [size =\"7698432\"]\n  5 -> 7 [size =\"7698432\"]\n  6 [size=\"50800640\", alpha=\"0.09\", expect_size=\"20320256\"] \n  6 -> 8 [size =\"20320256\"]\n  7 [size=\"57459200\", alpha=\"0.03\", expect_size=\"22983680\"] \n  8 [size=\"111680000\", alpha=\"0.11\", expect_size=\"44672000\"] \n  8 -> 9 [size =\"44672000\"]\n  8 -> 10 [size =\"44672000\"]\n  9 [size=\"43507200\", alpha=\"0.01\", expect_size=\"17402880\"] \n  9 -> 11 [size =\"17402880\"]\n  10 [size=\"83783680\", alpha=\"0.14\", expect_size=\"33513472\"] \n  11 [size=\"98949120\", alpha=\"0.17\", expect_size=\"39579648\"] \n  11 -> 12 [size =\"39579648\"]\n  12 [size=\"85926400\", alpha=\"0.15\", expect_size=\"34370560\"] \n  12 -> 13 [size =\"34370560\"]\n  12 -> 14 [size =\"34370560\"]\n  13 [size=\"19653120\", alpha=\"0.16\", expect_size=\"7861248\"] \n  13 -> 15 [size =\"7861248\"]\n  14 [size=\"102768640\", alpha=\"0.06\", expect_size=\"41107456\"] \n  14 -> 15 [size =\"41107456\"]\n  15 [size=\"79795200\", alpha=\"0.12\", expect_size=\"31918080\"] \n  15 -> 16 [size =\"31918080\"]\n  16 [size=\"16071680\", alpha=\"0.20\", expect_size=\"6428672\"] \n  16 -> 17 [size =\"6428672\"]\n  17 [size=\"66992640\", alpha=\"0.05\", expect_size=\"26797056\"] \n  17 -> 18 [size =\"26797056\"]\n  17 -> 19 [size =\"26797056\"]\n  18 [size=\"83013120\", alpha=\"0.02\", expect_size=\"33205248\"] \n  19 [size=\"32266240\", alpha=\"0.17\", expect_size=\"12906496\"] \n  19 -> 20 [size =\"12906496\"]\n  20 [size=\"39147520\", alpha=\"0.00\", expect_size=\"15659008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88876373\", alpha=\"0.05\", expect_size=\"26662912\"] \n  1 -> 2 [size =\"26662912\"]\n  1 -> 3 [size =\"26662912\"]\n  2 [size=\"92907520\", alpha=\"0.05\", expect_size=\"27872256\"] \n  2 -> 4 [size =\"27872256\"]\n  2 -> 5 [size =\"27872256\"]\n  3 [size=\"128006827\", alpha=\"0.12\", expect_size=\"38402048\"] \n  4 [size=\"144308907\", alpha=\"0.15\", expect_size=\"43292672\"] \n  4 -> 6 [size =\"43292672\"]\n  5 [size=\"172950187\", alpha=\"0.13\", expect_size=\"51885056\"] \n  5 -> 7 [size =\"51885056\"]\n  6 [size=\"169564160\", alpha=\"0.17\", expect_size=\"50869248\"] \n  7 [size=\"151596373\", alpha=\"0.14\", expect_size=\"45478912\"] \n  7 -> 8 [size =\"45478912\"]\n  8 [size=\"46397440\", alpha=\"0.17\", expect_size=\"13919232\"] \n  8 -> 9 [size =\"13919232\"]\n  9 [size=\"48906240\", alpha=\"0.00\", expect_size=\"14671872\"] \n  9 -> 10 [size =\"14671872\"]\n  10 [size=\"106240000\", alpha=\"0.19\", expect_size=\"31872000\"] \n  10 -> 11 [size =\"31872000\"]\n  11 [size=\"64805547\", alpha=\"0.10\", expect_size=\"19441664\"] \n  11 -> 12 [size =\"19441664\"]\n  11 -> 13 [size =\"19441664\"]\n  12 [size=\"105325227\", alpha=\"0.06\", expect_size=\"31597568\"] \n  12 -> 14 [size =\"31597568\"]\n  13 [size=\"147329707\", alpha=\"0.09\", expect_size=\"44198912\"] \n  14 [size=\"86889813\", alpha=\"0.09\", expect_size=\"26066944\"] \n  14 -> 15 [size =\"26066944\"]\n  15 [size=\"50684587\", alpha=\"0.03\", expect_size=\"15205376\"] \n  15 -> 16 [size =\"15205376\"]\n  15 -> 17 [size =\"15205376\"]\n  16 [size=\"153118720\", alpha=\"0.15\", expect_size=\"45935616\"] \n  16 -> 18 [size =\"45935616\"]\n  16 -> 19 [size =\"45935616\"]\n  17 [size=\"128020480\", alpha=\"0.18\", expect_size=\"38406144\"] \n  18 [size=\"78540800\", alpha=\"0.11\", expect_size=\"23562240\"] \n  18 -> 20 [size =\"23562240\"]\n  19 [size=\"53753173\", alpha=\"0.14\", expect_size=\"16125952\"] \n  20 [size=\"54002347\", alpha=\"0.12\", expect_size=\"16200704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103161856\", alpha=\"0.18\", expect_size=\"51580928\"] \n  1 -> 12 [size =\"51580928\"]\n  2 [size=\"45895680\", alpha=\"0.13\", expect_size=\"22947840\"] \n  2 -> 14 [size =\"22947840\"]\n  2 -> 15 [size =\"22947840\"]\n  3 [size=\"88252416\", alpha=\"0.11\", expect_size=\"44126208\"] \n  3 -> 14 [size =\"44126208\"]\n  4 [size=\"79519744\", alpha=\"0.09\", expect_size=\"39759872\"] \n  4 -> 13 [size =\"39759872\"]\n  4 -> 14 [size =\"39759872\"]\n  5 [size=\"57333760\", alpha=\"0.10\", expect_size=\"28666880\"] \n  5 -> 16 [size =\"28666880\"]\n  6 [size=\"24922112\", alpha=\"0.07\", expect_size=\"12461056\"] \n  6 -> 15 [size =\"12461056\"]\n  7 [size=\"82059264\", alpha=\"0.11\", expect_size=\"41029632\"] \n  7 -> 12 [size =\"41029632\"]\n  7 -> 13 [size =\"41029632\"]\n  7 -> 16 [size =\"41029632\"]\n  8 [size=\"97810432\", alpha=\"0.18\", expect_size=\"48905216\"] \n  8 -> 13 [size =\"48905216\"]\n  9 [size=\"17375232\", alpha=\"0.01\", expect_size=\"8687616\"] \n  9 -> 13 [size =\"8687616\"]\n  10 [size=\"43335680\", alpha=\"0.06\", expect_size=\"21667840\"] \n  11 [size=\"101210112\", alpha=\"0.09\", expect_size=\"50605056\"] \n  11 -> 13 [size =\"50605056\"]\n  11 -> 14 [size =\"50605056\"]\n  11 -> 15 [size =\"50605056\"]\n  12 [size=\"93636608\", alpha=\"0.01\", expect_size=\"46818304\"] \n  12 -> 18 [size =\"46818304\"]\n  12 -> 20 [size =\"46818304\"]\n  13 [size=\"60745728\", alpha=\"0.19\", expect_size=\"30372864\"] \n  13 -> 19 [size =\"30372864\"]\n  14 [size=\"17121280\", alpha=\"0.16\", expect_size=\"8560640\"] \n  14 -> 19 [size =\"8560640\"]\n  15 [size=\"57446400\", alpha=\"0.08\", expect_size=\"28723200\"] \n  15 -> 17 [size =\"28723200\"]\n  15 -> 20 [size =\"28723200\"]\n  16 [size=\"104263680\", alpha=\"0.09\", expect_size=\"52131840\"] \n  17 [size=\"41304064\", alpha=\"0.19\", expect_size=\"20652032\"] \n  18 [size=\"91414528\", alpha=\"0.14\", expect_size=\"45707264\"] \n  19 [size=\"80726016\", alpha=\"0.10\", expect_size=\"40363008\"] \n  20 [size=\"87252992\", alpha=\"0.05\", expect_size=\"43626496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64783360\", alpha=\"0.18\", expect_size=\"25913344\"] \n  1 -> 2 [size =\"25913344\"]\n  1 -> 3 [size =\"25913344\"]\n  2 [size=\"128422400\", alpha=\"0.11\", expect_size=\"51368960\"] \n  2 -> 4 [size =\"51368960\"]\n  2 -> 5 [size =\"51368960\"]\n  3 [size=\"61102080\", alpha=\"0.17\", expect_size=\"24440832\"] \n  3 -> 4 [size =\"24440832\"]\n  4 [size=\"62443520\", alpha=\"0.18\", expect_size=\"24977408\"] \n  4 -> 6 [size =\"24977408\"]\n  4 -> 7 [size =\"24977408\"]\n  5 [size=\"92945920\", alpha=\"0.09\", expect_size=\"37178368\"] \n  5 -> 6 [size =\"37178368\"]\n  6 [size=\"14218240\", alpha=\"0.12\", expect_size=\"5687296\"] \n  6 -> 8 [size =\"5687296\"]\n  7 [size=\"28433920\", alpha=\"0.06\", expect_size=\"11373568\"] \n  7 -> 8 [size =\"11373568\"]\n  8 [size=\"101913600\", alpha=\"0.03\", expect_size=\"40765440\"] \n  8 -> 9 [size =\"40765440\"]\n  8 -> 10 [size =\"40765440\"]\n  9 [size=\"54494720\", alpha=\"0.09\", expect_size=\"21797888\"] \n  9 -> 11 [size =\"21797888\"]\n  9 -> 12 [size =\"21797888\"]\n  10 [size=\"112801280\", alpha=\"0.16\", expect_size=\"45120512\"] \n  10 -> 11 [size =\"45120512\"]\n  11 [size=\"57973760\", alpha=\"0.04\", expect_size=\"23189504\"] \n  11 -> 13 [size =\"23189504\"]\n  12 [size=\"48194560\", alpha=\"0.05\", expect_size=\"19277824\"] \n  12 -> 13 [size =\"19277824\"]\n  13 [size=\"112046080\", alpha=\"0.15\", expect_size=\"44818432\"] \n  13 -> 14 [size =\"44818432\"]\n  14 [size=\"96634880\", alpha=\"0.10\", expect_size=\"38653952\"] \n  14 -> 15 [size =\"38653952\"]\n  15 [size=\"83394560\", alpha=\"0.06\", expect_size=\"33357824\"] \n  15 -> 16 [size =\"33357824\"]\n  15 -> 17 [size =\"33357824\"]\n  16 [size=\"20664320\", alpha=\"0.11\", expect_size=\"8265728\"] \n  16 -> 18 [size =\"8265728\"]\n  17 [size=\"89745920\", alpha=\"0.05\", expect_size=\"35898368\"] \n  17 -> 18 [size =\"35898368\"]\n  18 [size=\"125808640\", alpha=\"0.02\", expect_size=\"50323456\"] \n  18 -> 19 [size =\"50323456\"]\n  18 -> 20 [size =\"50323456\"]\n  19 [size=\"27788800\", alpha=\"0.02\", expect_size=\"11115520\"] \n  20 [size=\"78991360\", alpha=\"0.19\", expect_size=\"31596544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68085760\", alpha=\"0.09\", expect_size=\"20425728\"] \n  1 -> 17 [size =\"20425728\"]\n  2 [size=\"143414613\", alpha=\"0.06\", expect_size=\"43024384\"] \n  2 -> 16 [size =\"43024384\"]\n  2 -> 19 [size =\"43024384\"]\n  2 -> 20 [size =\"43024384\"]\n  3 [size=\"154449920\", alpha=\"0.08\", expect_size=\"46334976\"] \n  3 -> 18 [size =\"46334976\"]\n  4 [size=\"46182400\", alpha=\"0.01\", expect_size=\"13854720\"] \n  4 -> 16 [size =\"13854720\"]\n  5 [size=\"78929920\", alpha=\"0.17\", expect_size=\"23678976\"] \n  5 -> 15 [size =\"23678976\"]\n  5 -> 19 [size =\"23678976\"]\n  6 [size=\"103976960\", alpha=\"0.15\", expect_size=\"31193088\"] \n  6 -> 15 [size =\"31193088\"]\n  6 -> 16 [size =\"31193088\"]\n  6 -> 19 [size =\"31193088\"]\n  7 [size=\"36188160\", alpha=\"0.16\", expect_size=\"10856448\"] \n  7 -> 19 [size =\"10856448\"]\n  8 [size=\"98013867\", alpha=\"0.13\", expect_size=\"29404160\"] \n  8 -> 17 [size =\"29404160\"]\n  8 -> 18 [size =\"29404160\"]\n  8 -> 19 [size =\"29404160\"]\n  9 [size=\"52452693\", alpha=\"0.14\", expect_size=\"15735808\"] \n  9 -> 17 [size =\"15735808\"]\n  9 -> 18 [size =\"15735808\"]\n  9 -> 19 [size =\"15735808\"]\n  9 -> 20 [size =\"15735808\"]\n  10 [size=\"146623147\", alpha=\"0.10\", expect_size=\"43986944\"] \n  10 -> 17 [size =\"43986944\"]\n  10 -> 19 [size =\"43986944\"]\n  11 [size=\"45858133\", alpha=\"0.16\", expect_size=\"13757440\"] \n  11 -> 15 [size =\"13757440\"]\n  12 [size=\"113452373\", alpha=\"0.12\", expect_size=\"34035712\"] \n  12 -> 18 [size =\"34035712\"]\n  12 -> 20 [size =\"34035712\"]\n  13 [size=\"157436587\", alpha=\"0.05\", expect_size=\"47230976\"] \n  13 -> 17 [size =\"47230976\"]\n  13 -> 19 [size =\"47230976\"]\n  13 -> 20 [size =\"47230976\"]\n  14 [size=\"65252693\", alpha=\"0.12\", expect_size=\"19575808\"] \n  14 -> 19 [size =\"19575808\"]\n  15 [size=\"71331840\", alpha=\"0.09\", expect_size=\"21399552\"] \n  16 [size=\"45759147\", alpha=\"0.17\", expect_size=\"13727744\"] \n  17 [size=\"160064853\", alpha=\"0.16\", expect_size=\"48019456\"] \n  18 [size=\"131665920\", alpha=\"0.13\", expect_size=\"39499776\"] \n  19 [size=\"73506133\", alpha=\"0.00\", expect_size=\"22051840\"] \n  20 [size=\"24473600\", alpha=\"0.06\", expect_size=\"7342080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38375424\", alpha=\"0.01\", expect_size=\"19187712\"] \n  1 -> 2 [size =\"19187712\"]\n  2 [size=\"94437376\", alpha=\"0.10\", expect_size=\"47218688\"] \n  2 -> 3 [size =\"47218688\"]\n  3 [size=\"104441856\", alpha=\"0.05\", expect_size=\"52220928\"] \n  3 -> 4 [size =\"52220928\"]\n  4 [size=\"35033088\", alpha=\"0.15\", expect_size=\"17516544\"] \n  4 -> 5 [size =\"17516544\"]\n  5 [size=\"92057600\", alpha=\"0.18\", expect_size=\"46028800\"] \n  5 -> 6 [size =\"46028800\"]\n  6 [size=\"103284736\", alpha=\"0.13\", expect_size=\"51642368\"] \n  6 -> 7 [size =\"51642368\"]\n  7 [size=\"47218688\", alpha=\"0.01\", expect_size=\"23609344\"] \n  7 -> 8 [size =\"23609344\"]\n  8 [size=\"27928576\", alpha=\"0.04\", expect_size=\"13964288\"] \n  8 -> 9 [size =\"13964288\"]\n  9 [size=\"79486976\", alpha=\"0.04\", expect_size=\"39743488\"] \n  9 -> 10 [size =\"39743488\"]\n  10 [size=\"64067584\", alpha=\"0.11\", expect_size=\"32033792\"] \n  10 -> 11 [size =\"32033792\"]\n  11 [size=\"17254400\", alpha=\"0.13\", expect_size=\"8627200\"] \n  11 -> 12 [size =\"8627200\"]\n  12 [size=\"24160256\", alpha=\"0.17\", expect_size=\"12080128\"] \n  12 -> 13 [size =\"12080128\"]\n  13 [size=\"69464064\", alpha=\"0.02\", expect_size=\"34732032\"] \n  13 -> 14 [size =\"34732032\"]\n  14 [size=\"95125504\", alpha=\"0.05\", expect_size=\"47562752\"] \n  14 -> 15 [size =\"47562752\"]\n  15 [size=\"70754304\", alpha=\"0.18\", expect_size=\"35377152\"] \n  15 -> 16 [size =\"35377152\"]\n  16 [size=\"61304832\", alpha=\"0.09\", expect_size=\"30652416\"] \n  16 -> 17 [size =\"30652416\"]\n  17 [size=\"27822080\", alpha=\"0.05\", expect_size=\"13911040\"] \n  17 -> 18 [size =\"13911040\"]\n  18 [size=\"30773248\", alpha=\"0.20\", expect_size=\"15386624\"] \n  18 -> 19 [size =\"15386624\"]\n  19 [size=\"51992576\", alpha=\"0.11\", expect_size=\"25996288\"] \n  19 -> 20 [size =\"25996288\"]\n  20 [size=\"68618240\", alpha=\"0.04\", expect_size=\"34309120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14800896\", alpha=\"0.10\", expect_size=\"7400448\"] \n  1 -> 4 [size =\"7400448\"]\n  2 [size=\"89503744\", alpha=\"0.10\", expect_size=\"44751872\"] \n  2 -> 3 [size =\"44751872\"]\n  2 -> 5 [size =\"44751872\"]\n  3 [size=\"24231936\", alpha=\"0.08\", expect_size=\"12115968\"] \n  3 -> 6 [size =\"12115968\"]\n  3 -> 7 [size =\"12115968\"]\n  3 -> 10 [size =\"12115968\"]\n  4 [size=\"82384896\", alpha=\"0.12\", expect_size=\"41192448\"] \n  4 -> 7 [size =\"41192448\"]\n  4 -> 8 [size =\"41192448\"]\n  5 [size=\"88045568\", alpha=\"0.16\", expect_size=\"44022784\"] \n  5 -> 9 [size =\"44022784\"]\n  5 -> 10 [size =\"44022784\"]\n  6 [size=\"19517440\", alpha=\"0.16\", expect_size=\"9758720\"] \n  6 -> 12 [size =\"9758720\"]\n  6 -> 14 [size =\"9758720\"]\n  7 [size=\"87644160\", alpha=\"0.03\", expect_size=\"43822080\"] \n  7 -> 14 [size =\"43822080\"]\n  8 [size=\"35411968\", alpha=\"0.10\", expect_size=\"17705984\"] \n  8 -> 13 [size =\"17705984\"]\n  8 -> 14 [size =\"17705984\"]\n  9 [size=\"63944704\", alpha=\"0.13\", expect_size=\"31972352\"] \n  9 -> 11 [size =\"31972352\"]\n  10 [size=\"57724928\", alpha=\"0.20\", expect_size=\"28862464\"] \n  11 [size=\"81391616\", alpha=\"0.07\", expect_size=\"40695808\"] \n  11 -> 16 [size =\"40695808\"]\n  12 [size=\"33449984\", alpha=\"0.06\", expect_size=\"16724992\"] \n  12 -> 15 [size =\"16724992\"]\n  13 [size=\"82376704\", alpha=\"0.19\", expect_size=\"41188352\"] \n  14 [size=\"24655872\", alpha=\"0.13\", expect_size=\"12327936\"] \n  14 -> 15 [size =\"12327936\"]\n  14 -> 17 [size =\"12327936\"]\n  15 [size=\"80871424\", alpha=\"0.04\", expect_size=\"40435712\"] \n  15 -> 19 [size =\"40435712\"]\n  15 -> 20 [size =\"40435712\"]\n  16 [size=\"60487680\", alpha=\"0.09\", expect_size=\"30243840\"] \n  16 -> 18 [size =\"30243840\"]\n  17 [size=\"39561216\", alpha=\"0.01\", expect_size=\"19780608\"] \n  17 -> 19 [size =\"19780608\"]\n  17 -> 20 [size =\"19780608\"]\n  18 [size=\"55611392\", alpha=\"0.19\", expect_size=\"27805696\"] \n  19 [size=\"101081088\", alpha=\"0.18\", expect_size=\"50540544\"] \n  20 [size=\"70211584\", alpha=\"0.16\", expect_size=\"35105792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136140800\", alpha=\"0.14\", expect_size=\"40842240\"] \n  1 -> 2 [size =\"40842240\"]\n  1 -> 3 [size =\"40842240\"]\n  2 [size=\"29153280\", alpha=\"0.14\", expect_size=\"8745984\"] \n  2 -> 4 [size =\"8745984\"]\n  2 -> 5 [size =\"8745984\"]\n  3 [size=\"78281387\", alpha=\"0.14\", expect_size=\"23484416\"] \n  3 -> 4 [size =\"23484416\"]\n  4 [size=\"119043413\", alpha=\"0.06\", expect_size=\"35713024\"] \n  5 [size=\"106431147\", alpha=\"0.03\", expect_size=\"31929344\"] \n  5 -> 6 [size =\"31929344\"]\n  6 [size=\"108724907\", alpha=\"0.16\", expect_size=\"32617472\"] \n  6 -> 7 [size =\"32617472\"]\n  6 -> 8 [size =\"32617472\"]\n  7 [size=\"151773867\", alpha=\"0.07\", expect_size=\"45532160\"] \n  7 -> 9 [size =\"45532160\"]\n  8 [size=\"159160320\", alpha=\"0.00\", expect_size=\"47748096\"] \n  8 -> 10 [size =\"47748096\"]\n  9 [size=\"122685440\", alpha=\"0.02\", expect_size=\"36805632\"] \n  9 -> 11 [size =\"36805632\"]\n  10 [size=\"123774293\", alpha=\"0.09\", expect_size=\"37132288\"] \n  10 -> 12 [size =\"37132288\"]\n  11 [size=\"115667627\", alpha=\"0.07\", expect_size=\"34700288\"] \n  11 -> 13 [size =\"34700288\"]\n  11 -> 14 [size =\"34700288\"]\n  12 [size=\"65512107\", alpha=\"0.09\", expect_size=\"19653632\"] \n  12 -> 13 [size =\"19653632\"]\n  12 -> 14 [size =\"19653632\"]\n  13 [size=\"19595947\", alpha=\"0.08\", expect_size=\"5878784\"] \n  13 -> 15 [size =\"5878784\"]\n  14 [size=\"130256213\", alpha=\"0.08\", expect_size=\"39076864\"] \n  15 [size=\"173608960\", alpha=\"0.19\", expect_size=\"52082688\"] \n  15 -> 16 [size =\"52082688\"]\n  16 [size=\"40410453\", alpha=\"0.11\", expect_size=\"12123136\"] \n  16 -> 17 [size =\"12123136\"]\n  16 -> 18 [size =\"12123136\"]\n  17 [size=\"165526187\", alpha=\"0.14\", expect_size=\"49657856\"] \n  18 [size=\"60672000\", alpha=\"0.10\", expect_size=\"18201600\"] \n  18 -> 19 [size =\"18201600\"]\n  19 [size=\"64430080\", alpha=\"0.05\", expect_size=\"19329024\"] \n  19 -> 20 [size =\"19329024\"]\n  20 [size=\"84005547\", alpha=\"0.19\", expect_size=\"25201664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26924373\", alpha=\"0.01\", expect_size=\"8077312\"] \n  1 -> 2 [size =\"8077312\"]\n  2 [size=\"56343893\", alpha=\"0.00\", expect_size=\"16903168\"] \n  2 -> 3 [size =\"16903168\"]\n  3 [size=\"173346133\", alpha=\"0.15\", expect_size=\"52003840\"] \n  3 -> 4 [size =\"52003840\"]\n  4 [size=\"130123093\", alpha=\"0.05\", expect_size=\"39036928\"] \n  4 -> 5 [size =\"39036928\"]\n  5 [size=\"104990720\", alpha=\"0.19\", expect_size=\"31497216\"] \n  5 -> 6 [size =\"31497216\"]\n  6 [size=\"32143360\", alpha=\"0.08\", expect_size=\"9643008\"] \n  6 -> 7 [size =\"9643008\"]\n  7 [size=\"40529920\", alpha=\"0.02\", expect_size=\"12158976\"] \n  7 -> 8 [size =\"12158976\"]\n  8 [size=\"115237547\", alpha=\"0.17\", expect_size=\"34571264\"] \n  8 -> 9 [size =\"34571264\"]\n  9 [size=\"92347733\", alpha=\"0.09\", expect_size=\"27704320\"] \n  9 -> 10 [size =\"27704320\"]\n  10 [size=\"81868800\", alpha=\"0.00\", expect_size=\"24560640\"] \n  10 -> 11 [size =\"24560640\"]\n  11 [size=\"35539627\", alpha=\"0.16\", expect_size=\"10661888\"] \n  11 -> 12 [size =\"10661888\"]\n  12 [size=\"42721280\", alpha=\"0.11\", expect_size=\"12816384\"] \n  12 -> 13 [size =\"12816384\"]\n  13 [size=\"45448533\", alpha=\"0.02\", expect_size=\"13634560\"] \n  13 -> 14 [size =\"13634560\"]\n  14 [size=\"164509013\", alpha=\"0.12\", expect_size=\"49352704\"] \n  14 -> 15 [size =\"49352704\"]\n  15 [size=\"45851307\", alpha=\"0.15\", expect_size=\"13755392\"] \n  15 -> 16 [size =\"13755392\"]\n  16 [size=\"34921813\", alpha=\"0.01\", expect_size=\"10476544\"] \n  16 -> 17 [size =\"10476544\"]\n  17 [size=\"100638720\", alpha=\"0.10\", expect_size=\"30191616\"] \n  17 -> 18 [size =\"30191616\"]\n  18 [size=\"114882560\", alpha=\"0.03\", expect_size=\"34464768\"] \n  18 -> 19 [size =\"34464768\"]\n  19 [size=\"89285973\", alpha=\"0.03\", expect_size=\"26785792\"] \n  19 -> 20 [size =\"26785792\"]\n  20 [size=\"157272747\", alpha=\"0.06\", expect_size=\"47181824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97167360\", alpha=\"0.16\", expect_size=\"38866944\"] \n  1 -> 5 [size =\"38866944\"]\n  2 [size=\"112911360\", alpha=\"0.20\", expect_size=\"45164544\"] \n  2 -> 6 [size =\"45164544\"]\n  3 [size=\"78484480\", alpha=\"0.17\", expect_size=\"31393792\"] \n  3 -> 4 [size =\"31393792\"]\n  3 -> 6 [size =\"31393792\"]\n  4 [size=\"74483200\", alpha=\"0.14\", expect_size=\"29793280\"] \n  4 -> 7 [size =\"29793280\"]\n  4 -> 8 [size =\"29793280\"]\n  4 -> 10 [size =\"29793280\"]\n  5 [size=\"69946880\", alpha=\"0.04\", expect_size=\"27978752\"] \n  5 -> 7 [size =\"27978752\"]\n  5 -> 8 [size =\"27978752\"]\n  5 -> 9 [size =\"27978752\"]\n  6 [size=\"121830400\", alpha=\"0.10\", expect_size=\"48732160\"] \n  6 -> 9 [size =\"48732160\"]\n  6 -> 10 [size =\"48732160\"]\n  7 [size=\"95155200\", alpha=\"0.08\", expect_size=\"38062080\"] \n  7 -> 11 [size =\"38062080\"]\n  8 [size=\"123642880\", alpha=\"0.17\", expect_size=\"49457152\"] \n  8 -> 13 [size =\"49457152\"]\n  9 [size=\"102973440\", alpha=\"0.01\", expect_size=\"41189376\"] \n  9 -> 11 [size =\"41189376\"]\n  9 -> 12 [size =\"41189376\"]\n  10 [size=\"73346560\", alpha=\"0.09\", expect_size=\"29338624\"] \n  11 [size=\"23129600\", alpha=\"0.02\", expect_size=\"9251840\"] \n  11 -> 14 [size =\"9251840\"]\n  11 -> 16 [size =\"9251840\"]\n  12 [size=\"120238080\", alpha=\"0.12\", expect_size=\"48095232\"] \n  12 -> 14 [size =\"48095232\"]\n  12 -> 15 [size =\"48095232\"]\n  13 [size=\"118796800\", alpha=\"0.01\", expect_size=\"47518720\"] \n  14 [size=\"99397120\", alpha=\"0.07\", expect_size=\"39758848\"] \n  14 -> 19 [size =\"39758848\"]\n  15 [size=\"61460480\", alpha=\"0.18\", expect_size=\"24584192\"] \n  15 -> 18 [size =\"24584192\"]\n  15 -> 19 [size =\"24584192\"]\n  15 -> 20 [size =\"24584192\"]\n  16 [size=\"86807040\", alpha=\"0.17\", expect_size=\"34722816\"] \n  16 -> 17 [size =\"34722816\"]\n  16 -> 18 [size =\"34722816\"]\n  16 -> 20 [size =\"34722816\"]\n  17 [size=\"27965440\", alpha=\"0.07\", expect_size=\"11186176\"] \n  18 [size=\"78028800\", alpha=\"0.06\", expect_size=\"31211520\"] \n  19 [size=\"61521920\", alpha=\"0.09\", expect_size=\"24608768\"] \n  20 [size=\"64962560\", alpha=\"0.19\", expect_size=\"25985024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152726187\", alpha=\"0.06\", expect_size=\"45817856\"] \n  1 -> 2 [size =\"45817856\"]\n  1 -> 3 [size =\"45817856\"]\n  2 [size=\"165829973\", alpha=\"0.04\", expect_size=\"49748992\"] \n  2 -> 4 [size =\"49748992\"]\n  3 [size=\"76103680\", alpha=\"0.07\", expect_size=\"22831104\"] \n  3 -> 4 [size =\"22831104\"]\n  4 [size=\"23070720\", alpha=\"0.15\", expect_size=\"6921216\"] \n  4 -> 5 [size =\"6921216\"]\n  4 -> 6 [size =\"6921216\"]\n  5 [size=\"42850987\", alpha=\"0.17\", expect_size=\"12855296\"] \n  5 -> 7 [size =\"12855296\"]\n  6 [size=\"70328320\", alpha=\"0.10\", expect_size=\"21098496\"] \n  6 -> 7 [size =\"21098496\"]\n  7 [size=\"18032640\", alpha=\"0.10\", expect_size=\"5409792\"] \n  7 -> 8 [size =\"5409792\"]\n  7 -> 9 [size =\"5409792\"]\n  8 [size=\"74045440\", alpha=\"0.16\", expect_size=\"22213632\"] \n  8 -> 10 [size =\"22213632\"]\n  9 [size=\"155576320\", alpha=\"0.10\", expect_size=\"46672896\"] \n  9 -> 10 [size =\"46672896\"]\n  10 [size=\"145691307\", alpha=\"0.01\", expect_size=\"43707392\"] \n  10 -> 11 [size =\"43707392\"]\n  10 -> 12 [size =\"43707392\"]\n  11 [size=\"116623360\", alpha=\"0.02\", expect_size=\"34987008\"] \n  11 -> 13 [size =\"34987008\"]\n  11 -> 14 [size =\"34987008\"]\n  12 [size=\"167454720\", alpha=\"0.06\", expect_size=\"50236416\"] \n  12 -> 13 [size =\"50236416\"]\n  12 -> 14 [size =\"50236416\"]\n  13 [size=\"43560960\", alpha=\"0.13\", expect_size=\"13068288\"] \n  13 -> 15 [size =\"13068288\"]\n  13 -> 16 [size =\"13068288\"]\n  14 [size=\"101147307\", alpha=\"0.10\", expect_size=\"30344192\"] \n  14 -> 15 [size =\"30344192\"]\n  14 -> 16 [size =\"30344192\"]\n  15 [size=\"62030507\", alpha=\"0.19\", expect_size=\"18609152\"] \n  15 -> 17 [size =\"18609152\"]\n  16 [size=\"38980267\", alpha=\"0.12\", expect_size=\"11694080\"] \n  16 -> 17 [size =\"11694080\"]\n  16 -> 18 [size =\"11694080\"]\n  17 [size=\"117497173\", alpha=\"0.14\", expect_size=\"35249152\"] \n  17 -> 19 [size =\"35249152\"]\n  17 -> 20 [size =\"35249152\"]\n  18 [size=\"38331733\", alpha=\"0.15\", expect_size=\"11499520\"] \n  18 -> 19 [size =\"11499520\"]\n  18 -> 20 [size =\"11499520\"]\n  19 [size=\"160300373\", alpha=\"0.04\", expect_size=\"48090112\"] \n  20 [size=\"84121600\", alpha=\"0.04\", expect_size=\"25236480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167703893\", alpha=\"0.13\", expect_size=\"50311168\"] \n  1 -> 16 [size =\"50311168\"]\n  2 [size=\"167287467\", alpha=\"0.16\", expect_size=\"50186240\"] \n  2 -> 18 [size =\"50186240\"]\n  3 [size=\"102270293\", alpha=\"0.11\", expect_size=\"30681088\"] \n  3 -> 18 [size =\"30681088\"]\n  3 -> 19 [size =\"30681088\"]\n  3 -> 20 [size =\"30681088\"]\n  4 [size=\"37638827\", alpha=\"0.03\", expect_size=\"11291648\"] \n  4 -> 16 [size =\"11291648\"]\n  4 -> 18 [size =\"11291648\"]\n  5 [size=\"142295040\", alpha=\"0.00\", expect_size=\"42688512\"] \n  5 -> 17 [size =\"42688512\"]\n  5 -> 18 [size =\"42688512\"]\n  6 [size=\"52968107\", alpha=\"0.14\", expect_size=\"15890432\"] \n  6 -> 16 [size =\"15890432\"]\n  6 -> 20 [size =\"15890432\"]\n  7 [size=\"173632853\", alpha=\"0.05\", expect_size=\"52089856\"] \n  7 -> 16 [size =\"52089856\"]\n  7 -> 18 [size =\"52089856\"]\n  8 [size=\"91753813\", alpha=\"0.08\", expect_size=\"27526144\"] \n  8 -> 16 [size =\"27526144\"]\n  8 -> 19 [size =\"27526144\"]\n  8 -> 20 [size =\"27526144\"]\n  9 [size=\"135099733\", alpha=\"0.06\", expect_size=\"40529920\"] \n  9 -> 18 [size =\"40529920\"]\n  10 [size=\"111411200\", alpha=\"0.19\", expect_size=\"33423360\"] \n  10 -> 18 [size =\"33423360\"]\n  10 -> 19 [size =\"33423360\"]\n  10 -> 20 [size =\"33423360\"]\n  11 [size=\"161491627\", alpha=\"0.11\", expect_size=\"48447488\"] \n  11 -> 17 [size =\"48447488\"]\n  11 -> 19 [size =\"48447488\"]\n  11 -> 20 [size =\"48447488\"]\n  12 [size=\"104977067\", alpha=\"0.14\", expect_size=\"31493120\"] \n  12 -> 17 [size =\"31493120\"]\n  12 -> 19 [size =\"31493120\"]\n  12 -> 20 [size =\"31493120\"]\n  13 [size=\"77148160\", alpha=\"0.08\", expect_size=\"23144448\"] \n  13 -> 17 [size =\"23144448\"]\n  13 -> 20 [size =\"23144448\"]\n  14 [size=\"160720213\", alpha=\"0.11\", expect_size=\"48216064\"] \n  14 -> 17 [size =\"48216064\"]\n  14 -> 20 [size =\"48216064\"]\n  15 [size=\"29327360\", alpha=\"0.18\", expect_size=\"8798208\"] \n  15 -> 18 [size =\"8798208\"]\n  15 -> 19 [size =\"8798208\"]\n  15 -> 20 [size =\"8798208\"]\n  16 [size=\"32860160\", alpha=\"0.13\", expect_size=\"9858048\"] \n  17 [size=\"139171840\", alpha=\"0.05\", expect_size=\"41751552\"] \n  18 [size=\"23077547\", alpha=\"0.07\", expect_size=\"6923264\"] \n  19 [size=\"84797440\", alpha=\"0.11\", expect_size=\"25439232\"] \n  20 [size=\"133734400\", alpha=\"0.16\", expect_size=\"40120320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45987840\", alpha=\"0.13\", expect_size=\"22993920\"] \n  2 [size=\"43610112\", alpha=\"0.19\", expect_size=\"21805056\"] \n  2 -> 8 [size =\"21805056\"]\n  3 [size=\"100917248\", alpha=\"0.06\", expect_size=\"50458624\"] \n  3 -> 8 [size =\"50458624\"]\n  3 -> 9 [size =\"50458624\"]\n  4 [size=\"36284416\", alpha=\"0.05\", expect_size=\"18142208\"] \n  4 -> 6 [size =\"18142208\"]\n  4 -> 7 [size =\"18142208\"]\n  5 [size=\"70461440\", alpha=\"0.03\", expect_size=\"35230720\"] \n  5 -> 6 [size =\"35230720\"]\n  5 -> 7 [size =\"35230720\"]\n  5 -> 9 [size =\"35230720\"]\n  6 [size=\"33159168\", alpha=\"0.14\", expect_size=\"16579584\"] \n  6 -> 11 [size =\"16579584\"]\n  7 [size=\"63784960\", alpha=\"0.13\", expect_size=\"31892480\"] \n  7 -> 10 [size =\"31892480\"]\n  7 -> 11 [size =\"31892480\"]\n  8 [size=\"67082240\", alpha=\"0.15\", expect_size=\"33541120\"] \n  8 -> 11 [size =\"33541120\"]\n  9 [size=\"99680256\", alpha=\"0.07\", expect_size=\"49840128\"] \n  10 [size=\"11110400\", alpha=\"0.08\", expect_size=\"5555200\"] \n  10 -> 12 [size =\"5555200\"]\n  10 -> 14 [size =\"5555200\"]\n  10 -> 15 [size =\"5555200\"]\n  11 [size=\"95606784\", alpha=\"0.16\", expect_size=\"47803392\"] \n  11 -> 13 [size =\"47803392\"]\n  12 [size=\"62715904\", alpha=\"0.17\", expect_size=\"31357952\"] \n  12 -> 17 [size =\"31357952\"]\n  13 [size=\"58335232\", alpha=\"0.02\", expect_size=\"29167616\"] \n  13 -> 17 [size =\"29167616\"]\n  14 [size=\"84627456\", alpha=\"0.10\", expect_size=\"42313728\"] \n  14 -> 16 [size =\"42313728\"]\n  15 [size=\"14438400\", alpha=\"0.00\", expect_size=\"7219200\"] \n  15 -> 16 [size =\"7219200\"]\n  16 [size=\"27639808\", alpha=\"0.04\", expect_size=\"13819904\"] \n  16 -> 20 [size =\"13819904\"]\n  17 [size=\"95318016\", alpha=\"0.01\", expect_size=\"47659008\"] \n  17 -> 18 [size =\"47659008\"]\n  17 -> 19 [size =\"47659008\"]\n  17 -> 20 [size =\"47659008\"]\n  18 [size=\"64212992\", alpha=\"0.01\", expect_size=\"32106496\"] \n  19 [size=\"38580224\", alpha=\"0.18\", expect_size=\"19290112\"] \n  20 [size=\"73822208\", alpha=\"0.10\", expect_size=\"36911104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142417920\", alpha=\"0.02\", expect_size=\"42725376\"] \n  1 -> 2 [size =\"42725376\"]\n  2 [size=\"170205867\", alpha=\"0.06\", expect_size=\"51061760\"] \n  2 -> 3 [size =\"51061760\"]\n  3 [size=\"112442027\", alpha=\"0.14\", expect_size=\"33732608\"] \n  3 -> 4 [size =\"33732608\"]\n  4 [size=\"154705920\", alpha=\"0.15\", expect_size=\"46411776\"] \n  4 -> 5 [size =\"46411776\"]\n  5 [size=\"150647467\", alpha=\"0.13\", expect_size=\"45194240\"] \n  5 -> 6 [size =\"45194240\"]\n  6 [size=\"53278720\", alpha=\"0.05\", expect_size=\"15983616\"] \n  6 -> 7 [size =\"15983616\"]\n  7 [size=\"133181440\", alpha=\"0.16\", expect_size=\"39954432\"] \n  7 -> 8 [size =\"39954432\"]\n  8 [size=\"144964267\", alpha=\"0.11\", expect_size=\"43489280\"] \n  8 -> 9 [size =\"43489280\"]\n  9 [size=\"125849600\", alpha=\"0.15\", expect_size=\"37754880\"] \n  9 -> 10 [size =\"37754880\"]\n  10 [size=\"166253227\", alpha=\"0.06\", expect_size=\"49875968\"] \n  10 -> 11 [size =\"49875968\"]\n  11 [size=\"61313707\", alpha=\"0.13\", expect_size=\"18394112\"] \n  11 -> 12 [size =\"18394112\"]\n  12 [size=\"74605227\", alpha=\"0.13\", expect_size=\"22381568\"] \n  12 -> 13 [size =\"22381568\"]\n  13 [size=\"125440000\", alpha=\"0.03\", expect_size=\"37632000\"] \n  13 -> 14 [size =\"37632000\"]\n  14 [size=\"77851307\", alpha=\"0.07\", expect_size=\"23355392\"] \n  14 -> 15 [size =\"23355392\"]\n  15 [size=\"42059093\", alpha=\"0.05\", expect_size=\"12617728\"] \n  15 -> 16 [size =\"12617728\"]\n  16 [size=\"146104320\", alpha=\"0.09\", expect_size=\"43831296\"] \n  16 -> 17 [size =\"43831296\"]\n  17 [size=\"30136320\", alpha=\"0.08\", expect_size=\"9040896\"] \n  17 -> 18 [size =\"9040896\"]\n  18 [size=\"153862827\", alpha=\"0.03\", expect_size=\"46158848\"] \n  18 -> 19 [size =\"46158848\"]\n  19 [size=\"83377493\", alpha=\"0.13\", expect_size=\"25013248\"] \n  19 -> 20 [size =\"25013248\"]\n  20 [size=\"44028587\", alpha=\"0.10\", expect_size=\"13208576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49905664\", alpha=\"0.09\", expect_size=\"24952832\"] \n  1 -> 2 [size =\"24952832\"]\n  2 [size=\"28205056\", alpha=\"0.15\", expect_size=\"14102528\"] \n  2 -> 3 [size =\"14102528\"]\n  3 [size=\"104179712\", alpha=\"0.07\", expect_size=\"52089856\"] \n  3 -> 4 [size =\"52089856\"]\n  4 [size=\"54243328\", alpha=\"0.13\", expect_size=\"27121664\"] \n  4 -> 5 [size =\"27121664\"]\n  5 [size=\"81907712\", alpha=\"0.13\", expect_size=\"40953856\"] \n  5 -> 6 [size =\"40953856\"]\n  6 [size=\"104587264\", alpha=\"0.09\", expect_size=\"52293632\"] \n  6 -> 7 [size =\"52293632\"]\n  7 [size=\"18485248\", alpha=\"0.03\", expect_size=\"9242624\"] \n  7 -> 8 [size =\"9242624\"]\n  8 [size=\"73342976\", alpha=\"0.14\", expect_size=\"36671488\"] \n  8 -> 9 [size =\"36671488\"]\n  9 [size=\"23037952\", alpha=\"0.16\", expect_size=\"11518976\"] \n  9 -> 10 [size =\"11518976\"]\n  10 [size=\"79851520\", alpha=\"0.04\", expect_size=\"39925760\"] \n  10 -> 11 [size =\"39925760\"]\n  11 [size=\"45387776\", alpha=\"0.03\", expect_size=\"22693888\"] \n  11 -> 12 [size =\"22693888\"]\n  12 [size=\"89194496\", alpha=\"0.02\", expect_size=\"44597248\"] \n  12 -> 13 [size =\"44597248\"]\n  13 [size=\"65669120\", alpha=\"0.09\", expect_size=\"32834560\"] \n  13 -> 14 [size =\"32834560\"]\n  14 [size=\"98250752\", alpha=\"0.07\", expect_size=\"49125376\"] \n  14 -> 15 [size =\"49125376\"]\n  15 [size=\"63301632\", alpha=\"0.10\", expect_size=\"31650816\"] \n  15 -> 16 [size =\"31650816\"]\n  16 [size=\"30285824\", alpha=\"0.08\", expect_size=\"15142912\"] \n  16 -> 17 [size =\"15142912\"]\n  17 [size=\"73977856\", alpha=\"0.14\", expect_size=\"36988928\"] \n  17 -> 18 [size =\"36988928\"]\n  18 [size=\"87552000\", alpha=\"0.02\", expect_size=\"43776000\"] \n  18 -> 19 [size =\"43776000\"]\n  19 [size=\"58957824\", alpha=\"0.14\", expect_size=\"29478912\"] \n  19 -> 20 [size =\"29478912\"]\n  20 [size=\"39780352\", alpha=\"0.03\", expect_size=\"19890176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91745280\", alpha=\"0.14\", expect_size=\"36698112\"] \n  1 -> 10 [size =\"36698112\"]\n  1 -> 12 [size =\"36698112\"]\n  1 -> 15 [size =\"36698112\"]\n  1 -> 16 [size =\"36698112\"]\n  2 [size=\"77048320\", alpha=\"0.10\", expect_size=\"30819328\"] \n  2 -> 12 [size =\"30819328\"]\n  3 [size=\"55441920\", alpha=\"0.19\", expect_size=\"22176768\"] \n  3 -> 9 [size =\"22176768\"]\n  3 -> 11 [size =\"22176768\"]\n  3 -> 12 [size =\"22176768\"]\n  4 [size=\"56304640\", alpha=\"0.15\", expect_size=\"22521856\"] \n  5 [size=\"75816960\", alpha=\"0.07\", expect_size=\"30326784\"] \n  5 -> 12 [size =\"30326784\"]\n  5 -> 16 [size =\"30326784\"]\n  6 [size=\"106995200\", alpha=\"0.11\", expect_size=\"42798080\"] \n  6 -> 13 [size =\"42798080\"]\n  7 [size=\"80040960\", alpha=\"0.19\", expect_size=\"32016384\"] \n  7 -> 9 [size =\"32016384\"]\n  7 -> 11 [size =\"32016384\"]\n  7 -> 13 [size =\"32016384\"]\n  7 -> 14 [size =\"32016384\"]\n  8 [size=\"124572160\", alpha=\"0.09\", expect_size=\"49828864\"] \n  8 -> 10 [size =\"49828864\"]\n  8 -> 11 [size =\"49828864\"]\n  8 -> 12 [size =\"49828864\"]\n  9 [size=\"45678080\", alpha=\"0.12\", expect_size=\"18271232\"] \n  9 -> 18 [size =\"18271232\"]\n  10 [size=\"30274560\", alpha=\"0.05\", expect_size=\"12109824\"] \n  10 -> 18 [size =\"12109824\"]\n  10 -> 19 [size =\"12109824\"]\n  11 [size=\"74885120\", alpha=\"0.07\", expect_size=\"29954048\"] \n  11 -> 19 [size =\"29954048\"]\n  12 [size=\"41991680\", alpha=\"0.01\", expect_size=\"16796672\"] \n  12 -> 18 [size =\"16796672\"]\n  12 -> 20 [size =\"16796672\"]\n  13 [size=\"99248640\", alpha=\"0.03\", expect_size=\"39699456\"] \n  13 -> 18 [size =\"39699456\"]\n  13 -> 19 [size =\"39699456\"]\n  14 [size=\"90516480\", alpha=\"0.04\", expect_size=\"36206592\"] \n  14 -> 17 [size =\"36206592\"]\n  14 -> 19 [size =\"36206592\"]\n  15 [size=\"58575360\", alpha=\"0.14\", expect_size=\"23430144\"] \n  15 -> 18 [size =\"23430144\"]\n  16 [size=\"99013120\", alpha=\"0.13\", expect_size=\"39605248\"] \n  16 -> 18 [size =\"39605248\"]\n  16 -> 20 [size =\"39605248\"]\n  17 [size=\"48857600\", alpha=\"0.01\", expect_size=\"19543040\"] \n  18 [size=\"42296320\", alpha=\"0.15\", expect_size=\"16918528\"] \n  19 [size=\"92912640\", alpha=\"0.16\", expect_size=\"37165056\"] \n  20 [size=\"47011840\", alpha=\"0.08\", expect_size=\"18804736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168734720\", alpha=\"0.07\", expect_size=\"50620416\"] \n  1 -> 6 [size =\"50620416\"]\n  2 [size=\"103758507\", alpha=\"0.15\", expect_size=\"31127552\"] \n  2 -> 6 [size =\"31127552\"]\n  3 [size=\"94245547\", alpha=\"0.16\", expect_size=\"28273664\"] \n  3 -> 7 [size =\"28273664\"]\n  4 [size=\"152890027\", alpha=\"0.02\", expect_size=\"45867008\"] \n  4 -> 5 [size =\"45867008\"]\n  4 -> 7 [size =\"45867008\"]\n  5 [size=\"58200747\", alpha=\"0.09\", expect_size=\"17460224\"] \n  5 -> 8 [size =\"17460224\"]\n  6 [size=\"45199360\", alpha=\"0.12\", expect_size=\"13559808\"] \n  6 -> 9 [size =\"13559808\"]\n  7 [size=\"120654507\", alpha=\"0.08\", expect_size=\"36196352\"] \n  7 -> 8 [size =\"36196352\"]\n  7 -> 9 [size =\"36196352\"]\n  8 [size=\"38741333\", alpha=\"0.07\", expect_size=\"11622400\"] \n  8 -> 10 [size =\"11622400\"]\n  8 -> 11 [size =\"11622400\"]\n  8 -> 12 [size =\"11622400\"]\n  9 [size=\"149080747\", alpha=\"0.16\", expect_size=\"44724224\"] \n  10 [size=\"167348907\", alpha=\"0.16\", expect_size=\"50204672\"] \n  10 -> 13 [size =\"50204672\"]\n  10 -> 14 [size =\"50204672\"]\n  10 -> 16 [size =\"50204672\"]\n  10 -> 17 [size =\"50204672\"]\n  11 [size=\"68495360\", alpha=\"0.05\", expect_size=\"20548608\"] \n  11 -> 13 [size =\"20548608\"]\n  11 -> 15 [size =\"20548608\"]\n  11 -> 17 [size =\"20548608\"]\n  12 [size=\"120231253\", alpha=\"0.02\", expect_size=\"36069376\"] \n  12 -> 14 [size =\"36069376\"]\n  13 [size=\"81756160\", alpha=\"0.05\", expect_size=\"24526848\"] \n  13 -> 18 [size =\"24526848\"]\n  13 -> 19 [size =\"24526848\"]\n  13 -> 20 [size =\"24526848\"]\n  14 [size=\"50018987\", alpha=\"0.08\", expect_size=\"15005696\"] \n  14 -> 18 [size =\"15005696\"]\n  14 -> 19 [size =\"15005696\"]\n  14 -> 20 [size =\"15005696\"]\n  15 [size=\"63546027\", alpha=\"0.05\", expect_size=\"19063808\"] \n  16 [size=\"131232427\", alpha=\"0.14\", expect_size=\"39369728\"] \n  16 -> 18 [size =\"39369728\"]\n  16 -> 19 [size =\"39369728\"]\n  16 -> 20 [size =\"39369728\"]\n  17 [size=\"71488853\", alpha=\"0.02\", expect_size=\"21446656\"] \n  18 [size=\"134615040\", alpha=\"0.01\", expect_size=\"40384512\"] \n  19 [size=\"35751253\", alpha=\"0.14\", expect_size=\"10725376\"] \n  20 [size=\"161378987\", alpha=\"0.12\", expect_size=\"48413696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86067200\", alpha=\"0.13\", expect_size=\"43033600\"] \n  1 -> 10 [size =\"43033600\"]\n  1 -> 11 [size =\"43033600\"]\n  1 -> 13 [size =\"43033600\"]\n  1 -> 14 [size =\"43033600\"]\n  2 [size=\"81922048\", alpha=\"0.12\", expect_size=\"40961024\"] \n  2 -> 10 [size =\"40961024\"]\n  2 -> 11 [size =\"40961024\"]\n  2 -> 12 [size =\"40961024\"]\n  2 -> 14 [size =\"40961024\"]\n  2 -> 16 [size =\"40961024\"]\n  3 [size=\"12349440\", alpha=\"0.15\", expect_size=\"6174720\"] \n  3 -> 10 [size =\"6174720\"]\n  3 -> 12 [size =\"6174720\"]\n  3 -> 12 [size =\"6174720\"]\n  3 -> 13 [size =\"6174720\"]\n  3 -> 15 [size =\"6174720\"]\n  3 -> 16 [size =\"6174720\"]\n  4 [size=\"72650752\", alpha=\"0.14\", expect_size=\"36325376\"] \n  4 -> 12 [size =\"36325376\"]\n  4 -> 13 [size =\"36325376\"]\n  5 [size=\"99086336\", alpha=\"0.17\", expect_size=\"49543168\"] \n  5 -> 10 [size =\"49543168\"]\n  5 -> 12 [size =\"49543168\"]\n  5 -> 15 [size =\"49543168\"]\n  6 [size=\"73535488\", alpha=\"0.14\", expect_size=\"36767744\"] \n  6 -> 10 [size =\"36767744\"]\n  6 -> 16 [size =\"36767744\"]\n  7 [size=\"25487360\", alpha=\"0.03\", expect_size=\"12743680\"] \n  7 -> 11 [size =\"12743680\"]\n  7 -> 13 [size =\"12743680\"]\n  7 -> 14 [size =\"12743680\"]\n  7 -> 16 [size =\"12743680\"]\n  8 [size=\"93911040\", alpha=\"0.17\", expect_size=\"46955520\"] \n  8 -> 14 [size =\"46955520\"]\n  8 -> 15 [size =\"46955520\"]\n  9 [size=\"24002560\", alpha=\"0.04\", expect_size=\"12001280\"] \n  9 -> 11 [size =\"12001280\"]\n  9 -> 12 [size =\"12001280\"]\n  10 [size=\"43436032\", alpha=\"0.13\", expect_size=\"21718016\"] \n  10 -> 17 [size =\"21718016\"]\n  10 -> 20 [size =\"21718016\"]\n  11 [size=\"88543232\", alpha=\"0.03\", expect_size=\"44271616\"] \n  11 -> 17 [size =\"44271616\"]\n  11 -> 18 [size =\"44271616\"]\n  11 -> 20 [size =\"44271616\"]\n  12 [size=\"56109056\", alpha=\"0.18\", expect_size=\"28054528\"] \n  12 -> 18 [size =\"28054528\"]\n  12 -> 20 [size =\"28054528\"]\n  13 [size=\"17287168\", alpha=\"0.10\", expect_size=\"8643584\"] \n  13 -> 17 [size =\"8643584\"]\n  13 -> 18 [size =\"8643584\"]\n  14 [size=\"87177216\", alpha=\"0.04\", expect_size=\"43588608\"] \n  14 -> 17 [size =\"43588608\"]\n  14 -> 20 [size =\"43588608\"]\n  15 [size=\"59011072\", alpha=\"0.00\", expect_size=\"29505536\"] \n  15 -> 20 [size =\"29505536\"]\n  16 [size=\"45643776\", alpha=\"0.16\", expect_size=\"22821888\"] \n  16 -> 17 [size =\"22821888\"]\n  16 -> 19 [size =\"22821888\"]\n  17 [size=\"17723392\", alpha=\"0.11\", expect_size=\"8861696\"] \n  18 [size=\"33601536\", alpha=\"0.04\", expect_size=\"16800768\"] \n  19 [size=\"17250304\", alpha=\"0.19\", expect_size=\"8625152\"] \n  20 [size=\"37300224\", alpha=\"0.07\", expect_size=\"18650112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65671680\", alpha=\"0.12\", expect_size=\"26268672\"] \n  1 -> 10 [size =\"26268672\"]\n  1 -> 11 [size =\"26268672\"]\n  1 -> 13 [size =\"26268672\"]\n  1 -> 14 [size =\"26268672\"]\n  2 [size=\"129239040\", alpha=\"0.04\", expect_size=\"51695616\"] \n  2 -> 9 [size =\"51695616\"]\n  2 -> 10 [size =\"51695616\"]\n  2 -> 14 [size =\"51695616\"]\n  2 -> 14 [size =\"51695616\"]\n  2 -> 15 [size =\"51695616\"]\n  3 [size=\"95178240\", alpha=\"0.11\", expect_size=\"38071296\"] \n  3 -> 9 [size =\"38071296\"]\n  3 -> 10 [size =\"38071296\"]\n  3 -> 13 [size =\"38071296\"]\n  3 -> 15 [size =\"38071296\"]\n  4 [size=\"68482560\", alpha=\"0.14\", expect_size=\"27393024\"] \n  4 -> 10 [size =\"27393024\"]\n  4 -> 12 [size =\"27393024\"]\n  4 -> 13 [size =\"27393024\"]\n  4 -> 14 [size =\"27393024\"]\n  5 [size=\"56519680\", alpha=\"0.08\", expect_size=\"22607872\"] \n  5 -> 11 [size =\"22607872\"]\n  5 -> 13 [size =\"22607872\"]\n  5 -> 14 [size =\"22607872\"]\n  5 -> 15 [size =\"22607872\"]\n  6 [size=\"79959040\", alpha=\"0.07\", expect_size=\"31983616\"] \n  6 -> 13 [size =\"31983616\"]\n  7 [size=\"105397760\", alpha=\"0.19\", expect_size=\"42159104\"] \n  7 -> 9 [size =\"42159104\"]\n  7 -> 10 [size =\"42159104\"]\n  7 -> 13 [size =\"42159104\"]\n  8 [size=\"55751680\", alpha=\"0.15\", expect_size=\"22300672\"] \n  8 -> 13 [size =\"22300672\"]\n  8 -> 14 [size =\"22300672\"]\n  9 [size=\"78760960\", alpha=\"0.17\", expect_size=\"31504384\"] \n  9 -> 16 [size =\"31504384\"]\n  9 -> 19 [size =\"31504384\"]\n  9 -> 20 [size =\"31504384\"]\n  10 [size=\"25896960\", alpha=\"0.03\", expect_size=\"10358784\"] \n  10 -> 16 [size =\"10358784\"]\n  10 -> 17 [size =\"10358784\"]\n  10 -> 19 [size =\"10358784\"]\n  10 -> 20 [size =\"10358784\"]\n  11 [size=\"36408320\", alpha=\"0.10\", expect_size=\"14563328\"] \n  11 -> 16 [size =\"14563328\"]\n  11 -> 18 [size =\"14563328\"]\n  11 -> 20 [size =\"14563328\"]\n  12 [size=\"107776000\", alpha=\"0.07\", expect_size=\"43110400\"] \n  12 -> 16 [size =\"43110400\"]\n  12 -> 19 [size =\"43110400\"]\n  12 -> 20 [size =\"43110400\"]\n  13 [size=\"14359040\", alpha=\"0.20\", expect_size=\"5743616\"] \n  13 -> 16 [size =\"5743616\"]\n  13 -> 18 [size =\"5743616\"]\n  14 [size=\"82135040\", alpha=\"0.06\", expect_size=\"32854016\"] \n  14 -> 16 [size =\"32854016\"]\n  14 -> 19 [size =\"32854016\"]\n  14 -> 20 [size =\"32854016\"]\n  15 [size=\"46382080\", alpha=\"0.10\", expect_size=\"18552832\"] \n  15 -> 16 [size =\"18552832\"]\n  15 -> 17 [size =\"18552832\"]\n  15 -> 20 [size =\"18552832\"]\n  16 [size=\"93734400\", alpha=\"0.02\", expect_size=\"37493760\"] \n  17 [size=\"18959360\", alpha=\"0.16\", expect_size=\"7583744\"] \n  18 [size=\"128783360\", alpha=\"0.09\", expect_size=\"51513344\"] \n  19 [size=\"101708800\", alpha=\"0.07\", expect_size=\"40683520\"] \n  20 [size=\"86223360\", alpha=\"0.04\", expect_size=\"34489344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94144512\", alpha=\"0.16\", expect_size=\"47072256\"] \n  2 [size=\"16273408\", alpha=\"0.09\", expect_size=\"8136704\"] \n  2 -> 3 [size =\"8136704\"]\n  3 [size=\"98942976\", alpha=\"0.08\", expect_size=\"49471488\"] \n  3 -> 4 [size =\"49471488\"]\n  3 -> 5 [size =\"49471488\"]\n  4 [size=\"19562496\", alpha=\"0.16\", expect_size=\"9781248\"] \n  4 -> 6 [size =\"9781248\"]\n  4 -> 7 [size =\"9781248\"]\n  5 [size=\"66795520\", alpha=\"0.09\", expect_size=\"33397760\"] \n  5 -> 7 [size =\"33397760\"]\n  6 [size=\"19871744\", alpha=\"0.07\", expect_size=\"9935872\"] \n  6 -> 8 [size =\"9935872\"]\n  7 [size=\"81614848\", alpha=\"0.01\", expect_size=\"40807424\"] \n  7 -> 8 [size =\"40807424\"]\n  8 [size=\"42434560\", alpha=\"0.11\", expect_size=\"21217280\"] \n  8 -> 9 [size =\"21217280\"]\n  8 -> 10 [size =\"21217280\"]\n  9 [size=\"14622720\", alpha=\"0.18\", expect_size=\"7311360\"] \n  9 -> 11 [size =\"7311360\"]\n  9 -> 12 [size =\"7311360\"]\n  10 [size=\"48936960\", alpha=\"0.06\", expect_size=\"24468480\"] \n  10 -> 11 [size =\"24468480\"]\n  10 -> 12 [size =\"24468480\"]\n  11 [size=\"27258880\", alpha=\"0.09\", expect_size=\"13629440\"] \n  11 -> 14 [size =\"13629440\"]\n  12 [size=\"101351424\", alpha=\"0.08\", expect_size=\"50675712\"] \n  12 -> 13 [size =\"50675712\"]\n  13 [size=\"49510400\", alpha=\"0.08\", expect_size=\"24755200\"] \n  13 -> 15 [size =\"24755200\"]\n  14 [size=\"86116352\", alpha=\"0.02\", expect_size=\"43058176\"] \n  14 -> 15 [size =\"43058176\"]\n  15 [size=\"68866048\", alpha=\"0.05\", expect_size=\"34433024\"] \n  15 -> 16 [size =\"34433024\"]\n  16 [size=\"16345088\", alpha=\"0.15\", expect_size=\"8172544\"] \n  16 -> 17 [size =\"8172544\"]\n  17 [size=\"48011264\", alpha=\"0.07\", expect_size=\"24005632\"] \n  17 -> 18 [size =\"24005632\"]\n  18 [size=\"50747392\", alpha=\"0.03\", expect_size=\"25373696\"] \n  18 -> 19 [size =\"25373696\"]\n  18 -> 20 [size =\"25373696\"]\n  19 [size=\"10592256\", alpha=\"0.18\", expect_size=\"5296128\"] \n  20 [size=\"94797824\", alpha=\"0.17\", expect_size=\"47398912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57710592\", alpha=\"0.14\", expect_size=\"28855296\"] \n  1 -> 2 [size =\"28855296\"]\n  1 -> 3 [size =\"28855296\"]\n  2 [size=\"51738624\", alpha=\"0.07\", expect_size=\"25869312\"] \n  2 -> 4 [size =\"25869312\"]\n  2 -> 5 [size =\"25869312\"]\n  3 [size=\"83748864\", alpha=\"0.10\", expect_size=\"41874432\"] \n  4 [size=\"59590656\", alpha=\"0.06\", expect_size=\"29795328\"] \n  4 -> 6 [size =\"29795328\"]\n  5 [size=\"64999424\", alpha=\"0.07\", expect_size=\"32499712\"] \n  5 -> 7 [size =\"32499712\"]\n  6 [size=\"39870464\", alpha=\"0.12\", expect_size=\"19935232\"] \n  7 [size=\"75382784\", alpha=\"0.08\", expect_size=\"37691392\"] \n  7 -> 8 [size =\"37691392\"]\n  8 [size=\"50024448\", alpha=\"0.08\", expect_size=\"25012224\"] \n  8 -> 9 [size =\"25012224\"]\n  8 -> 10 [size =\"25012224\"]\n  9 [size=\"43859968\", alpha=\"0.06\", expect_size=\"21929984\"] \n  10 [size=\"47783936\", alpha=\"0.11\", expect_size=\"23891968\"] \n  10 -> 11 [size =\"23891968\"]\n  10 -> 12 [size =\"23891968\"]\n  11 [size=\"102805504\", alpha=\"0.04\", expect_size=\"51402752\"] \n  12 [size=\"76027904\", alpha=\"0.14\", expect_size=\"38013952\"] \n  12 -> 13 [size =\"38013952\"]\n  12 -> 14 [size =\"38013952\"]\n  13 [size=\"14784512\", alpha=\"0.17\", expect_size=\"7392256\"] \n  13 -> 15 [size =\"7392256\"]\n  14 [size=\"63168512\", alpha=\"0.16\", expect_size=\"31584256\"] \n  14 -> 16 [size =\"31584256\"]\n  15 [size=\"91060224\", alpha=\"0.08\", expect_size=\"45530112\"] \n  16 [size=\"30361600\", alpha=\"0.11\", expect_size=\"15180800\"] \n  16 -> 17 [size =\"15180800\"]\n  17 [size=\"86390784\", alpha=\"0.12\", expect_size=\"43195392\"] \n  17 -> 18 [size =\"43195392\"]\n  18 [size=\"29462528\", alpha=\"0.16\", expect_size=\"14731264\"] \n  18 -> 19 [size =\"14731264\"]\n  19 [size=\"66177024\", alpha=\"0.10\", expect_size=\"33088512\"] \n  19 -> 20 [size =\"33088512\"]\n  20 [size=\"96737280\", alpha=\"0.08\", expect_size=\"48368640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72136704\", alpha=\"0.01\", expect_size=\"36068352\"] \n  1 -> 4 [size =\"36068352\"]\n  1 -> 5 [size =\"36068352\"]\n  2 [size=\"77189120\", alpha=\"0.11\", expect_size=\"38594560\"] \n  2 -> 4 [size =\"38594560\"]\n  2 -> 5 [size =\"38594560\"]\n  2 -> 6 [size =\"38594560\"]\n  3 [size=\"93601792\", alpha=\"0.03\", expect_size=\"46800896\"] \n  3 -> 4 [size =\"46800896\"]\n  3 -> 6 [size =\"46800896\"]\n  4 [size=\"69914624\", alpha=\"0.10\", expect_size=\"34957312\"] \n  4 -> 7 [size =\"34957312\"]\n  4 -> 8 [size =\"34957312\"]\n  4 -> 9 [size =\"34957312\"]\n  5 [size=\"32258048\", alpha=\"0.16\", expect_size=\"16129024\"] \n  5 -> 9 [size =\"16129024\"]\n  6 [size=\"68360192\", alpha=\"0.03\", expect_size=\"34180096\"] \n  6 -> 7 [size =\"34180096\"]\n  6 -> 9 [size =\"34180096\"]\n  7 [size=\"80838656\", alpha=\"0.11\", expect_size=\"40419328\"] \n  7 -> 10 [size =\"40419328\"]\n  8 [size=\"80035840\", alpha=\"0.15\", expect_size=\"40017920\"] \n  8 -> 10 [size =\"40017920\"]\n  8 -> 11 [size =\"40017920\"]\n  8 -> 12 [size =\"40017920\"]\n  9 [size=\"87218176\", alpha=\"0.00\", expect_size=\"43609088\"] \n  9 -> 10 [size =\"43609088\"]\n  9 -> 11 [size =\"43609088\"]\n  10 [size=\"31176704\", alpha=\"0.19\", expect_size=\"15588352\"] \n  10 -> 13 [size =\"15588352\"]\n  10 -> 14 [size =\"15588352\"]\n  10 -> 15 [size =\"15588352\"]\n  10 -> 16 [size =\"15588352\"]\n  11 [size=\"24700928\", alpha=\"0.12\", expect_size=\"12350464\"] \n  11 -> 13 [size =\"12350464\"]\n  11 -> 14 [size =\"12350464\"]\n  11 -> 15 [size =\"12350464\"]\n  11 -> 16 [size =\"12350464\"]\n  12 [size=\"28747776\", alpha=\"0.16\", expect_size=\"14373888\"] \n  12 -> 13 [size =\"14373888\"]\n  12 -> 14 [size =\"14373888\"]\n  12 -> 15 [size =\"14373888\"]\n  12 -> 16 [size =\"14373888\"]\n  13 [size=\"80492544\", alpha=\"0.08\", expect_size=\"40246272\"] \n  13 -> 17 [size =\"40246272\"]\n  13 -> 18 [size =\"40246272\"]\n  13 -> 19 [size =\"40246272\"]\n  13 -> 20 [size =\"40246272\"]\n  14 [size=\"94611456\", alpha=\"0.04\", expect_size=\"47305728\"] \n  14 -> 17 [size =\"47305728\"]\n  14 -> 19 [size =\"47305728\"]\n  14 -> 19 [size =\"47305728\"]\n  15 [size=\"46571520\", alpha=\"0.16\", expect_size=\"23285760\"] \n  15 -> 17 [size =\"23285760\"]\n  15 -> 18 [size =\"23285760\"]\n  15 -> 20 [size =\"23285760\"]\n  16 [size=\"28194816\", alpha=\"0.14\", expect_size=\"14097408\"] \n  16 -> 17 [size =\"14097408\"]\n  16 -> 18 [size =\"14097408\"]\n  16 -> 19 [size =\"14097408\"]\n  17 [size=\"43677696\", alpha=\"0.05\", expect_size=\"21838848\"] \n  18 [size=\"94361600\", alpha=\"0.05\", expect_size=\"47180800\"] \n  19 [size=\"71886848\", alpha=\"0.06\", expect_size=\"35943424\"] \n  20 [size=\"73562112\", alpha=\"0.15\", expect_size=\"36781056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116405760\", alpha=\"0.14\", expect_size=\"46562304\"] \n  1 -> 3 [size =\"46562304\"]\n  2 [size=\"88261120\", alpha=\"0.03\", expect_size=\"35304448\"] \n  2 -> 4 [size =\"35304448\"]\n  3 [size=\"74984960\", alpha=\"0.18\", expect_size=\"29993984\"] \n  3 -> 6 [size =\"29993984\"]\n  4 [size=\"66900480\", alpha=\"0.07\", expect_size=\"26760192\"] \n  4 -> 5 [size =\"26760192\"]\n  5 [size=\"120852480\", alpha=\"0.10\", expect_size=\"48340992\"] \n  5 -> 8 [size =\"48340992\"]\n  6 [size=\"126935040\", alpha=\"0.04\", expect_size=\"50774016\"] \n  6 -> 7 [size =\"50774016\"]\n  7 [size=\"60203520\", alpha=\"0.20\", expect_size=\"24081408\"] \n  8 [size=\"129057280\", alpha=\"0.10\", expect_size=\"51622912\"] \n  8 -> 9 [size =\"51622912\"]\n  9 [size=\"49495040\", alpha=\"0.07\", expect_size=\"19798016\"] \n  9 -> 10 [size =\"19798016\"]\n  9 -> 11 [size =\"19798016\"]\n  10 [size=\"76436480\", alpha=\"0.05\", expect_size=\"30574592\"] \n  10 -> 12 [size =\"30574592\"]\n  10 -> 13 [size =\"30574592\"]\n  11 [size=\"44139520\", alpha=\"0.19\", expect_size=\"17655808\"] \n  12 [size=\"127475200\", alpha=\"0.10\", expect_size=\"50990080\"] \n  13 [size=\"28633600\", alpha=\"0.12\", expect_size=\"11453440\"] \n  13 -> 14 [size =\"11453440\"]\n  14 [size=\"19392000\", alpha=\"0.07\", expect_size=\"7756800\"] \n  14 -> 15 [size =\"7756800\"]\n  14 -> 16 [size =\"7756800\"]\n  15 [size=\"58191360\", alpha=\"0.11\", expect_size=\"23276544\"] \n  15 -> 17 [size =\"23276544\"]\n  16 [size=\"116149760\", alpha=\"0.04\", expect_size=\"46459904\"] \n  16 -> 18 [size =\"46459904\"]\n  17 [size=\"19054080\", alpha=\"0.15\", expect_size=\"7621632\"] \n  18 [size=\"17320960\", alpha=\"0.16\", expect_size=\"6928384\"] \n  18 -> 19 [size =\"6928384\"]\n  18 -> 20 [size =\"6928384\"]\n  19 [size=\"75758080\", alpha=\"0.15\", expect_size=\"30303232\"] \n  20 [size=\"119667200\", alpha=\"0.07\", expect_size=\"47866880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35604480\", alpha=\"0.04\", expect_size=\"10681344\"] \n  1 -> 17 [size =\"10681344\"]\n  1 -> 19 [size =\"10681344\"]\n  2 [size=\"66706773\", alpha=\"0.16\", expect_size=\"20012032\"] \n  2 -> 16 [size =\"20012032\"]\n  2 -> 17 [size =\"20012032\"]\n  3 [size=\"58839040\", alpha=\"0.15\", expect_size=\"17651712\"] \n  3 -> 16 [size =\"17651712\"]\n  3 -> 19 [size =\"17651712\"]\n  3 -> 20 [size =\"17651712\"]\n  4 [size=\"47964160\", alpha=\"0.16\", expect_size=\"14389248\"] \n  4 -> 16 [size =\"14389248\"]\n  4 -> 17 [size =\"14389248\"]\n  4 -> 18 [size =\"14389248\"]\n  4 -> 20 [size =\"14389248\"]\n  5 [size=\"114008747\", alpha=\"0.00\", expect_size=\"34202624\"] \n  5 -> 16 [size =\"34202624\"]\n  5 -> 19 [size =\"34202624\"]\n  5 -> 20 [size =\"34202624\"]\n  5 -> 20 [size =\"34202624\"]\n  6 [size=\"103270400\", alpha=\"0.15\", expect_size=\"30981120\"] \n  6 -> 15 [size =\"30981120\"]\n  6 -> 17 [size =\"30981120\"]\n  6 -> 19 [size =\"30981120\"]\n  6 -> 20 [size =\"30981120\"]\n  7 [size=\"31935147\", alpha=\"0.05\", expect_size=\"9580544\"] \n  7 -> 15 [size =\"9580544\"]\n  7 -> 17 [size =\"9580544\"]\n  7 -> 20 [size =\"9580544\"]\n  7 -> 20 [size =\"9580544\"]\n  8 [size=\"118992213\", alpha=\"0.09\", expect_size=\"35697664\"] \n  8 -> 15 [size =\"35697664\"]\n  8 -> 17 [size =\"35697664\"]\n  8 -> 18 [size =\"35697664\"]\n  8 -> 19 [size =\"35697664\"]\n  8 -> 20 [size =\"35697664\"]\n  9 [size=\"154736640\", alpha=\"0.17\", expect_size=\"46420992\"] \n  9 -> 15 [size =\"46420992\"]\n  9 -> 17 [size =\"46420992\"]\n  9 -> 19 [size =\"46420992\"]\n  9 -> 20 [size =\"46420992\"]\n  10 [size=\"19568640\", alpha=\"0.08\", expect_size=\"5870592\"] \n  10 -> 15 [size =\"5870592\"]\n  10 -> 16 [size =\"5870592\"]\n  10 -> 17 [size =\"5870592\"]\n  10 -> 19 [size =\"5870592\"]\n  10 -> 20 [size =\"5870592\"]\n  11 [size=\"162341547\", alpha=\"0.10\", expect_size=\"48702464\"] \n  11 -> 16 [size =\"48702464\"]\n  11 -> 17 [size =\"48702464\"]\n  11 -> 17 [size =\"48702464\"]\n  11 -> 19 [size =\"48702464\"]\n  11 -> 20 [size =\"48702464\"]\n  12 [size=\"35123200\", alpha=\"0.12\", expect_size=\"10536960\"] \n  12 -> 17 [size =\"10536960\"]\n  12 -> 20 [size =\"10536960\"]\n  13 [size=\"163403093\", alpha=\"0.03\", expect_size=\"49020928\"] \n  13 -> 17 [size =\"49020928\"]\n  13 -> 18 [size =\"49020928\"]\n  13 -> 19 [size =\"49020928\"]\n  14 [size=\"122791253\", alpha=\"0.03\", expect_size=\"36837376\"] \n  14 -> 16 [size =\"36837376\"]\n  14 -> 17 [size =\"36837376\"]\n  14 -> 20 [size =\"36837376\"]\n  15 [size=\"92293120\", alpha=\"0.12\", expect_size=\"27687936\"] \n  16 [size=\"95546027\", alpha=\"0.12\", expect_size=\"28663808\"] \n  17 [size=\"54626987\", alpha=\"0.09\", expect_size=\"16388096\"] \n  18 [size=\"90477227\", alpha=\"0.02\", expect_size=\"27143168\"] \n  19 [size=\"159996587\", alpha=\"0.12\", expect_size=\"47998976\"] \n  20 [size=\"136762027\", alpha=\"0.08\", expect_size=\"41028608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31385600\", alpha=\"0.01\", expect_size=\"15692800\"] \n  1 -> 20 [size =\"15692800\"]\n  2 [size=\"81799168\", alpha=\"0.08\", expect_size=\"40899584\"] \n  3 [size=\"45889536\", alpha=\"0.15\", expect_size=\"22944768\"] \n  3 -> 19 [size =\"22944768\"]\n  4 [size=\"12279808\", alpha=\"0.08\", expect_size=\"6139904\"] \n  4 -> 19 [size =\"6139904\"]\n  4 -> 20 [size =\"6139904\"]\n  5 [size=\"19791872\", alpha=\"0.18\", expect_size=\"9895936\"] \n  5 -> 20 [size =\"9895936\"]\n  6 [size=\"64843776\", alpha=\"0.01\", expect_size=\"32421888\"] \n  6 -> 19 [size =\"32421888\"]\n  6 -> 20 [size =\"32421888\"]\n  7 [size=\"33048576\", alpha=\"0.13\", expect_size=\"16524288\"] \n  7 -> 20 [size =\"16524288\"]\n  8 [size=\"47355904\", alpha=\"0.08\", expect_size=\"23677952\"] \n  8 -> 19 [size =\"23677952\"]\n  8 -> 20 [size =\"23677952\"]\n  9 [size=\"85602304\", alpha=\"0.01\", expect_size=\"42801152\"] \n  9 -> 20 [size =\"42801152\"]\n  9 -> 20 [size =\"42801152\"]\n  10 [size=\"24236032\", alpha=\"0.16\", expect_size=\"12118016\"] \n  10 -> 20 [size =\"12118016\"]\n  11 [size=\"46419968\", alpha=\"0.02\", expect_size=\"23209984\"] \n  11 -> 20 [size =\"23209984\"]\n  12 [size=\"52156416\", alpha=\"0.18\", expect_size=\"26078208\"] \n  12 -> 19 [size =\"26078208\"]\n  13 [size=\"90624000\", alpha=\"0.12\", expect_size=\"45312000\"] \n  13 -> 20 [size =\"45312000\"]\n  14 [size=\"68280320\", alpha=\"0.18\", expect_size=\"34140160\"] \n  15 [size=\"12865536\", alpha=\"0.16\", expect_size=\"6432768\"] \n  15 -> 20 [size =\"6432768\"]\n  16 [size=\"96651264\", alpha=\"0.14\", expect_size=\"48325632\"] \n  16 -> 19 [size =\"48325632\"]\n  17 [size=\"103110656\", alpha=\"0.02\", expect_size=\"51555328\"] \n  17 -> 18 [size =\"51555328\"]\n  17 -> 20 [size =\"51555328\"]\n  18 [size=\"69103616\", alpha=\"0.15\", expect_size=\"34551808\"] \n  19 [size=\"13238272\", alpha=\"0.03\", expect_size=\"6619136\"] \n  20 [size=\"17616896\", alpha=\"0.03\", expect_size=\"8808448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105117013\", alpha=\"0.19\", expect_size=\"31535104\"] \n  2 [size=\"84169387\", alpha=\"0.11\", expect_size=\"25250816\"] \n  3 [size=\"94849707\", alpha=\"0.08\", expect_size=\"28454912\"] \n  4 [size=\"139431253\", alpha=\"0.12\", expect_size=\"41829376\"] \n  5 [size=\"97426773\", alpha=\"0.16\", expect_size=\"29228032\"] \n  6 [size=\"55480320\", alpha=\"0.15\", expect_size=\"16644096\"] \n  7 [size=\"77414400\", alpha=\"0.11\", expect_size=\"23224320\"] \n  8 [size=\"22568960\", alpha=\"0.11\", expect_size=\"6770688\"] \n  9 [size=\"72782507\", alpha=\"0.06\", expect_size=\"21834752\"] \n  10 [size=\"129771520\", alpha=\"0.15\", expect_size=\"38931456\"] \n  11 [size=\"122763947\", alpha=\"0.01\", expect_size=\"36829184\"] \n  12 [size=\"111247360\", alpha=\"0.05\", expect_size=\"33374208\"] \n  13 [size=\"38611627\", alpha=\"0.15\", expect_size=\"11583488\"] \n  14 [size=\"98423467\", alpha=\"0.11\", expect_size=\"29527040\"] \n  15 [size=\"33385813\", alpha=\"0.03\", expect_size=\"10015744\"] \n  16 [size=\"159399253\", alpha=\"0.05\", expect_size=\"47819776\"] \n  17 [size=\"123217920\", alpha=\"0.12\", expect_size=\"36965376\"] \n  18 [size=\"50780160\", alpha=\"0.15\", expect_size=\"15234048\"] \n  19 [size=\"140916053\", alpha=\"0.19\", expect_size=\"42274816\"] \n  20 [size=\"29211307\", alpha=\"0.04\", expect_size=\"8763392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16194560\", alpha=\"0.09\", expect_size=\"6477824\"] \n  1 -> 2 [size =\"6477824\"]\n  2 [size=\"115980800\", alpha=\"0.06\", expect_size=\"46392320\"] \n  2 -> 3 [size =\"46392320\"]\n  3 [size=\"87546880\", alpha=\"0.08\", expect_size=\"35018752\"] \n  3 -> 4 [size =\"35018752\"]\n  4 [size=\"118786560\", alpha=\"0.12\", expect_size=\"47514624\"] \n  4 -> 5 [size =\"47514624\"]\n  5 [size=\"105323520\", alpha=\"0.13\", expect_size=\"42129408\"] \n  5 -> 6 [size =\"42129408\"]\n  6 [size=\"22159360\", alpha=\"0.18\", expect_size=\"8863744\"] \n  6 -> 7 [size =\"8863744\"]\n  7 [size=\"32232960\", alpha=\"0.09\", expect_size=\"12893184\"] \n  7 -> 8 [size =\"12893184\"]\n  8 [size=\"67417600\", alpha=\"0.07\", expect_size=\"26967040\"] \n  8 -> 9 [size =\"26967040\"]\n  9 [size=\"81154560\", alpha=\"0.02\", expect_size=\"32461824\"] \n  9 -> 10 [size =\"32461824\"]\n  10 [size=\"94149120\", alpha=\"0.15\", expect_size=\"37659648\"] \n  10 -> 11 [size =\"37659648\"]\n  11 [size=\"60049920\", alpha=\"0.18\", expect_size=\"24019968\"] \n  11 -> 12 [size =\"24019968\"]\n  12 [size=\"112565760\", alpha=\"0.09\", expect_size=\"45026304\"] \n  12 -> 13 [size =\"45026304\"]\n  13 [size=\"32179200\", alpha=\"0.02\", expect_size=\"12871680\"] \n  13 -> 14 [size =\"12871680\"]\n  14 [size=\"80384000\", alpha=\"0.12\", expect_size=\"32153600\"] \n  14 -> 15 [size =\"32153600\"]\n  15 [size=\"31109120\", alpha=\"0.10\", expect_size=\"12443648\"] \n  15 -> 16 [size =\"12443648\"]\n  16 [size=\"107909120\", alpha=\"0.01\", expect_size=\"43163648\"] \n  16 -> 17 [size =\"43163648\"]\n  17 [size=\"97684480\", alpha=\"0.13\", expect_size=\"39073792\"] \n  17 -> 18 [size =\"39073792\"]\n  18 [size=\"34621440\", alpha=\"0.09\", expect_size=\"13848576\"] \n  18 -> 19 [size =\"13848576\"]\n  19 [size=\"76797440\", alpha=\"0.17\", expect_size=\"30718976\"] \n  19 -> 20 [size =\"30718976\"]\n  20 [size=\"86420480\", alpha=\"0.17\", expect_size=\"34568192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27805696\", alpha=\"0.09\", expect_size=\"13902848\"] \n  2 [size=\"78229504\", alpha=\"0.12\", expect_size=\"39114752\"] \n  2 -> 6 [size =\"39114752\"]\n  2 -> 7 [size =\"39114752\"]\n  2 -> 8 [size =\"39114752\"]\n  3 [size=\"37926912\", alpha=\"0.06\", expect_size=\"18963456\"] \n  3 -> 6 [size =\"18963456\"]\n  3 -> 7 [size =\"18963456\"]\n  4 [size=\"84137984\", alpha=\"0.02\", expect_size=\"42068992\"] \n  4 -> 6 [size =\"42068992\"]\n  5 [size=\"24254464\", alpha=\"0.11\", expect_size=\"12127232\"] \n  6 [size=\"84621312\", alpha=\"0.17\", expect_size=\"42310656\"] \n  6 -> 9 [size =\"42310656\"]\n  6 -> 10 [size =\"42310656\"]\n  7 [size=\"21471232\", alpha=\"0.16\", expect_size=\"10735616\"] \n  8 [size=\"60295168\", alpha=\"0.20\", expect_size=\"30147584\"] \n  8 -> 10 [size =\"30147584\"]\n  8 -> 11 [size =\"30147584\"]\n  8 -> 12 [size =\"30147584\"]\n  9 [size=\"64348160\", alpha=\"0.05\", expect_size=\"32174080\"] \n  10 [size=\"38090752\", alpha=\"0.12\", expect_size=\"19045376\"] \n  10 -> 13 [size =\"19045376\"]\n  11 [size=\"20488192\", alpha=\"0.14\", expect_size=\"10244096\"] \n  11 -> 15 [size =\"10244096\"]\n  12 [size=\"62029824\", alpha=\"0.00\", expect_size=\"31014912\"] \n  12 -> 14 [size =\"31014912\"]\n  12 -> 15 [size =\"31014912\"]\n  13 [size=\"22335488\", alpha=\"0.05\", expect_size=\"11167744\"] \n  14 [size=\"48904192\", alpha=\"0.06\", expect_size=\"24452096\"] \n  14 -> 16 [size =\"24452096\"]\n  14 -> 18 [size =\"24452096\"]\n  15 [size=\"59705344\", alpha=\"0.09\", expect_size=\"29852672\"] \n  15 -> 17 [size =\"29852672\"]\n  16 [size=\"19566592\", alpha=\"0.06\", expect_size=\"9783296\"] \n  16 -> 20 [size =\"9783296\"]\n  17 [size=\"100880384\", alpha=\"0.14\", expect_size=\"50440192\"] \n  18 [size=\"83855360\", alpha=\"0.16\", expect_size=\"41927680\"] \n  18 -> 19 [size =\"41927680\"]\n  19 [size=\"83591168\", alpha=\"0.17\", expect_size=\"41795584\"] \n  20 [size=\"12791808\", alpha=\"0.06\", expect_size=\"6395904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98467840\", alpha=\"0.03\", expect_size=\"39387136\"] \n  1 -> 2 [size =\"39387136\"]\n  1 -> 3 [size =\"39387136\"]\n  2 [size=\"69480960\", alpha=\"0.11\", expect_size=\"27792384\"] \n  2 -> 4 [size =\"27792384\"]\n  3 [size=\"17858560\", alpha=\"0.05\", expect_size=\"7143424\"] \n  3 -> 4 [size =\"7143424\"]\n  4 [size=\"55329280\", alpha=\"0.10\", expect_size=\"22131712\"] \n  4 -> 5 [size =\"22131712\"]\n  4 -> 6 [size =\"22131712\"]\n  5 [size=\"105843200\", alpha=\"0.02\", expect_size=\"42337280\"] \n  5 -> 7 [size =\"42337280\"]\n  6 [size=\"25489920\", alpha=\"0.04\", expect_size=\"10195968\"] \n  7 [size=\"71879680\", alpha=\"0.05\", expect_size=\"28751872\"] \n  7 -> 8 [size =\"28751872\"]\n  7 -> 9 [size =\"28751872\"]\n  8 [size=\"37967360\", alpha=\"0.17\", expect_size=\"15186944\"] \n  8 -> 11 [size =\"15186944\"]\n  9 [size=\"36638720\", alpha=\"0.11\", expect_size=\"14655488\"] \n  9 -> 10 [size =\"14655488\"]\n  9 -> 11 [size =\"14655488\"]\n  10 [size=\"63400960\", alpha=\"0.01\", expect_size=\"25360384\"] \n  10 -> 12 [size =\"25360384\"]\n  11 [size=\"28180480\", alpha=\"0.12\", expect_size=\"11272192\"] \n  11 -> 12 [size =\"11272192\"]\n  12 [size=\"46054400\", alpha=\"0.06\", expect_size=\"18421760\"] \n  12 -> 13 [size =\"18421760\"]\n  12 -> 14 [size =\"18421760\"]\n  13 [size=\"111805440\", alpha=\"0.09\", expect_size=\"44722176\"] \n  13 -> 15 [size =\"44722176\"]\n  14 [size=\"26178560\", alpha=\"0.02\", expect_size=\"10471424\"] \n  15 [size=\"86691840\", alpha=\"0.03\", expect_size=\"34676736\"] \n  15 -> 16 [size =\"34676736\"]\n  15 -> 17 [size =\"34676736\"]\n  16 [size=\"98224640\", alpha=\"0.04\", expect_size=\"39289856\"] \n  16 -> 18 [size =\"39289856\"]\n  17 [size=\"124508160\", alpha=\"0.18\", expect_size=\"49803264\"] \n  18 [size=\"37608960\", alpha=\"0.17\", expect_size=\"15043584\"] \n  18 -> 19 [size =\"15043584\"]\n  18 -> 20 [size =\"15043584\"]\n  19 [size=\"19630080\", alpha=\"0.19\", expect_size=\"7852032\"] \n  20 [size=\"85662720\", alpha=\"0.17\", expect_size=\"34265088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66365440\", alpha=\"0.15\", expect_size=\"19909632\"] \n  1 -> 2 [size =\"19909632\"]\n  2 [size=\"72587947\", alpha=\"0.05\", expect_size=\"21776384\"] \n  2 -> 3 [size =\"21776384\"]\n  3 [size=\"168813227\", alpha=\"0.15\", expect_size=\"50643968\"] \n  3 -> 4 [size =\"50643968\"]\n  4 [size=\"118326613\", alpha=\"0.08\", expect_size=\"35497984\"] \n  4 -> 5 [size =\"35497984\"]\n  5 [size=\"123927893\", alpha=\"0.14\", expect_size=\"37178368\"] \n  5 -> 6 [size =\"37178368\"]\n  6 [size=\"49701547\", alpha=\"0.19\", expect_size=\"14910464\"] \n  6 -> 7 [size =\"14910464\"]\n  7 [size=\"90893653\", alpha=\"0.16\", expect_size=\"27268096\"] \n  7 -> 8 [size =\"27268096\"]\n  8 [size=\"143100587\", alpha=\"0.16\", expect_size=\"42930176\"] \n  8 -> 9 [size =\"42930176\"]\n  9 [size=\"114582187\", alpha=\"0.18\", expect_size=\"34374656\"] \n  9 -> 10 [size =\"34374656\"]\n  10 [size=\"166652587\", alpha=\"0.16\", expect_size=\"49995776\"] \n  10 -> 11 [size =\"49995776\"]\n  11 [size=\"64737280\", alpha=\"0.04\", expect_size=\"19421184\"] \n  11 -> 12 [size =\"19421184\"]\n  12 [size=\"25326933\", alpha=\"0.13\", expect_size=\"7598080\"] \n  12 -> 13 [size =\"7598080\"]\n  13 [size=\"61184000\", alpha=\"0.12\", expect_size=\"18355200\"] \n  13 -> 14 [size =\"18355200\"]\n  14 [size=\"25019733\", alpha=\"0.11\", expect_size=\"7505920\"] \n  14 -> 15 [size =\"7505920\"]\n  15 [size=\"84200107\", alpha=\"0.02\", expect_size=\"25260032\"] \n  15 -> 16 [size =\"25260032\"]\n  16 [size=\"40847360\", alpha=\"0.04\", expect_size=\"12254208\"] \n  16 -> 17 [size =\"12254208\"]\n  17 [size=\"29788160\", alpha=\"0.12\", expect_size=\"8936448\"] \n  17 -> 18 [size =\"8936448\"]\n  18 [size=\"158661973\", alpha=\"0.17\", expect_size=\"47598592\"] \n  18 -> 19 [size =\"47598592\"]\n  19 [size=\"129652053\", alpha=\"0.12\", expect_size=\"38895616\"] \n  19 -> 20 [size =\"38895616\"]\n  20 [size=\"110305280\", alpha=\"0.10\", expect_size=\"33091584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100608000\", alpha=\"0.08\", expect_size=\"40243200\"] \n  1 -> 17 [size =\"40243200\"]\n  1 -> 19 [size =\"40243200\"]\n  1 -> 20 [size =\"40243200\"]\n  2 [size=\"66933760\", alpha=\"0.07\", expect_size=\"26773504\"] \n  2 -> 17 [size =\"26773504\"]\n  2 -> 19 [size =\"26773504\"]\n  2 -> 20 [size =\"26773504\"]\n  3 [size=\"62735360\", alpha=\"0.17\", expect_size=\"25094144\"] \n  3 -> 17 [size =\"25094144\"]\n  3 -> 19 [size =\"25094144\"]\n  4 [size=\"28032000\", alpha=\"0.08\", expect_size=\"11212800\"] \n  4 -> 17 [size =\"11212800\"]\n  4 -> 19 [size =\"11212800\"]\n  5 [size=\"13178880\", alpha=\"0.14\", expect_size=\"5271552\"] \n  5 -> 19 [size =\"5271552\"]\n  5 -> 19 [size =\"5271552\"]\n  6 [size=\"95856640\", alpha=\"0.03\", expect_size=\"38342656\"] \n  6 -> 18 [size =\"38342656\"]\n  6 -> 19 [size =\"38342656\"]\n  6 -> 20 [size =\"38342656\"]\n  7 [size=\"124193280\", alpha=\"0.13\", expect_size=\"49677312\"] \n  7 -> 18 [size =\"49677312\"]\n  7 -> 19 [size =\"49677312\"]\n  7 -> 20 [size =\"49677312\"]\n  8 [size=\"81080320\", alpha=\"0.13\", expect_size=\"32432128\"] \n  8 -> 18 [size =\"32432128\"]\n  8 -> 19 [size =\"32432128\"]\n  8 -> 20 [size =\"32432128\"]\n  9 [size=\"114836480\", alpha=\"0.19\", expect_size=\"45934592\"] \n  9 -> 17 [size =\"45934592\"]\n  9 -> 18 [size =\"45934592\"]\n  9 -> 19 [size =\"45934592\"]\n  9 -> 20 [size =\"45934592\"]\n  10 [size=\"101120000\", alpha=\"0.15\", expect_size=\"40448000\"] \n  10 -> 17 [size =\"40448000\"]\n  10 -> 19 [size =\"40448000\"]\n  10 -> 19 [size =\"40448000\"]\n  10 -> 20 [size =\"40448000\"]\n  11 [size=\"25359360\", alpha=\"0.15\", expect_size=\"10143744\"] \n  11 -> 17 [size =\"10143744\"]\n  11 -> 19 [size =\"10143744\"]\n  11 -> 20 [size =\"10143744\"]\n  12 [size=\"71539200\", alpha=\"0.03\", expect_size=\"28615680\"] \n  12 -> 17 [size =\"28615680\"]\n  12 -> 18 [size =\"28615680\"]\n  12 -> 20 [size =\"28615680\"]\n  13 [size=\"112417280\", alpha=\"0.14\", expect_size=\"44966912\"] \n  13 -> 17 [size =\"44966912\"]\n  13 -> 20 [size =\"44966912\"]\n  14 [size=\"94080000\", alpha=\"0.10\", expect_size=\"37632000\"] \n  14 -> 17 [size =\"37632000\"]\n  14 -> 20 [size =\"37632000\"]\n  15 [size=\"25059840\", alpha=\"0.10\", expect_size=\"10023936\"] \n  15 -> 17 [size =\"10023936\"]\n  15 -> 19 [size =\"10023936\"]\n  15 -> 20 [size =\"10023936\"]\n  16 [size=\"105950720\", alpha=\"0.16\", expect_size=\"42380288\"] \n  16 -> 17 [size =\"42380288\"]\n  16 -> 19 [size =\"42380288\"]\n  17 [size=\"125504000\", alpha=\"0.15\", expect_size=\"50201600\"] \n  18 [size=\"83438080\", alpha=\"0.13\", expect_size=\"33375232\"] \n  19 [size=\"44851200\", alpha=\"0.10\", expect_size=\"17940480\"] \n  20 [size=\"37652480\", alpha=\"0.13\", expect_size=\"15060992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87682560\", alpha=\"0.08\", expect_size=\"35073024\"] \n  1 -> 6 [size =\"35073024\"]\n  1 -> 7 [size =\"35073024\"]\n  1 -> 9 [size =\"35073024\"]\n  1 -> 10 [size =\"35073024\"]\n  1 -> 12 [size =\"35073024\"]\n  1 -> 13 [size =\"35073024\"]\n  2 [size=\"90193920\", alpha=\"0.01\", expect_size=\"36077568\"] \n  2 -> 6 [size =\"36077568\"]\n  2 -> 7 [size =\"36077568\"]\n  2 -> 9 [size =\"36077568\"]\n  2 -> 12 [size =\"36077568\"]\n  2 -> 12 [size =\"36077568\"]\n  3 [size=\"99576320\", alpha=\"0.09\", expect_size=\"39830528\"] \n  3 -> 6 [size =\"39830528\"]\n  3 -> 7 [size =\"39830528\"]\n  3 -> 8 [size =\"39830528\"]\n  3 -> 9 [size =\"39830528\"]\n  3 -> 12 [size =\"39830528\"]\n  4 [size=\"25697280\", alpha=\"0.10\", expect_size=\"10278912\"] \n  4 -> 6 [size =\"10278912\"]\n  4 -> 7 [size =\"10278912\"]\n  4 -> 8 [size =\"10278912\"]\n  4 -> 9 [size =\"10278912\"]\n  4 -> 10 [size =\"10278912\"]\n  4 -> 11 [size =\"10278912\"]\n  5 [size=\"60994560\", alpha=\"0.15\", expect_size=\"24397824\"] \n  5 -> 7 [size =\"24397824\"]\n  5 -> 9 [size =\"24397824\"]\n  5 -> 12 [size =\"24397824\"]\n  6 [size=\"97154560\", alpha=\"0.12\", expect_size=\"38861824\"] \n  6 -> 16 [size =\"38861824\"]\n  6 -> 16 [size =\"38861824\"]\n  6 -> 17 [size =\"38861824\"]\n  6 -> 19 [size =\"38861824\"]\n  6 -> 20 [size =\"38861824\"]\n  7 [size=\"24217600\", alpha=\"0.07\", expect_size=\"9687040\"] \n  7 -> 14 [size =\"9687040\"]\n  7 -> 15 [size =\"9687040\"]\n  7 -> 17 [size =\"9687040\"]\n  7 -> 19 [size =\"9687040\"]\n  7 -> 20 [size =\"9687040\"]\n  8 [size=\"117365760\", alpha=\"0.06\", expect_size=\"46946304\"] \n  8 -> 17 [size =\"46946304\"]\n  8 -> 18 [size =\"46946304\"]\n  8 -> 19 [size =\"46946304\"]\n  8 -> 20 [size =\"46946304\"]\n  8 -> 20 [size =\"46946304\"]\n  9 [size=\"103016960\", alpha=\"0.18\", expect_size=\"41206784\"] \n  10 [size=\"61237760\", alpha=\"0.12\", expect_size=\"24495104\"] \n  10 -> 15 [size =\"24495104\"]\n  10 -> 16 [size =\"24495104\"]\n  10 -> 17 [size =\"24495104\"]\n  10 -> 19 [size =\"24495104\"]\n  10 -> 20 [size =\"24495104\"]\n  11 [size=\"102935040\", alpha=\"0.17\", expect_size=\"41174016\"] \n  11 -> 15 [size =\"41174016\"]\n  11 -> 17 [size =\"41174016\"]\n  11 -> 17 [size =\"41174016\"]\n  11 -> 19 [size =\"41174016\"]\n  11 -> 20 [size =\"41174016\"]\n  12 [size=\"32824320\", alpha=\"0.06\", expect_size=\"13129728\"] \n  12 -> 15 [size =\"13129728\"]\n  12 -> 16 [size =\"13129728\"]\n  12 -> 17 [size =\"13129728\"]\n  12 -> 18 [size =\"13129728\"]\n  12 -> 19 [size =\"13129728\"]\n  12 -> 20 [size =\"13129728\"]\n  13 [size=\"37662720\", alpha=\"0.04\", expect_size=\"15065088\"] \n  13 -> 15 [size =\"15065088\"]\n  13 -> 16 [size =\"15065088\"]\n  13 -> 17 [size =\"15065088\"]\n  13 -> 18 [size =\"15065088\"]\n  13 -> 20 [size =\"15065088\"]\n  14 [size=\"92119040\", alpha=\"0.04\", expect_size=\"36847616\"] \n  15 [size=\"32839680\", alpha=\"0.16\", expect_size=\"13135872\"] \n  16 [size=\"120906240\", alpha=\"0.16\", expect_size=\"48362496\"] \n  17 [size=\"74475520\", alpha=\"0.08\", expect_size=\"29790208\"] \n  18 [size=\"114897920\", alpha=\"0.11\", expect_size=\"45959168\"] \n  19 [size=\"33635840\", alpha=\"0.04\", expect_size=\"13454336\"] \n  20 [size=\"22906880\", alpha=\"0.18\", expect_size=\"9162752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153750187\", alpha=\"0.13\", expect_size=\"46125056\"] \n  1 -> 6 [size =\"46125056\"]\n  1 -> 7 [size =\"46125056\"]\n  1 -> 8 [size =\"46125056\"]\n  2 [size=\"79049387\", alpha=\"0.05\", expect_size=\"23714816\"] \n  2 -> 5 [size =\"23714816\"]\n  2 -> 6 [size =\"23714816\"]\n  3 [size=\"158467413\", alpha=\"0.09\", expect_size=\"47540224\"] \n  3 -> 7 [size =\"47540224\"]\n  4 [size=\"144851627\", alpha=\"0.15\", expect_size=\"43455488\"] \n  4 -> 8 [size =\"43455488\"]\n  5 [size=\"30173867\", alpha=\"0.15\", expect_size=\"9052160\"] \n  5 -> 9 [size =\"9052160\"]\n  5 -> 11 [size =\"9052160\"]\n  6 [size=\"45967360\", alpha=\"0.11\", expect_size=\"13790208\"] \n  7 [size=\"67423573\", alpha=\"0.04\", expect_size=\"20227072\"] \n  7 -> 10 [size =\"20227072\"]\n  7 -> 12 [size =\"20227072\"]\n  8 [size=\"36833280\", alpha=\"0.00\", expect_size=\"11049984\"] \n  8 -> 9 [size =\"11049984\"]\n  8 -> 10 [size =\"11049984\"]\n  9 [size=\"33904640\", alpha=\"0.10\", expect_size=\"10171392\"] \n  9 -> 14 [size =\"10171392\"]\n  10 [size=\"26385067\", alpha=\"0.13\", expect_size=\"7915520\"] \n  10 -> 14 [size =\"7915520\"]\n  10 -> 15 [size =\"7915520\"]\n  11 [size=\"158443520\", alpha=\"0.14\", expect_size=\"47533056\"] \n  12 [size=\"102280533\", alpha=\"0.11\", expect_size=\"30684160\"] \n  12 -> 13 [size =\"30684160\"]\n  12 -> 16 [size =\"30684160\"]\n  13 [size=\"145486507\", alpha=\"0.04\", expect_size=\"43645952\"] \n  13 -> 17 [size =\"43645952\"]\n  13 -> 19 [size =\"43645952\"]\n  14 [size=\"61818880\", alpha=\"0.02\", expect_size=\"18545664\"] \n  14 -> 18 [size =\"18545664\"]\n  15 [size=\"24091307\", alpha=\"0.18\", expect_size=\"7227392\"] \n  16 [size=\"139455147\", alpha=\"0.08\", expect_size=\"41836544\"] \n  16 -> 17 [size =\"41836544\"]\n  17 [size=\"70864213\", alpha=\"0.09\", expect_size=\"21259264\"] \n  17 -> 20 [size =\"21259264\"]\n  18 [size=\"103222613\", alpha=\"0.06\", expect_size=\"30966784\"] \n  19 [size=\"104325120\", alpha=\"0.17\", expect_size=\"31297536\"] \n  20 [size=\"28607147\", alpha=\"0.04\", expect_size=\"8582144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47202304\", alpha=\"0.18\", expect_size=\"23601152\"] \n  1 -> 2 [size =\"23601152\"]\n  2 [size=\"40587264\", alpha=\"0.01\", expect_size=\"20293632\"] \n  2 -> 3 [size =\"20293632\"]\n  3 [size=\"23728128\", alpha=\"0.00\", expect_size=\"11864064\"] \n  3 -> 4 [size =\"11864064\"]\n  4 [size=\"24875008\", alpha=\"0.10\", expect_size=\"12437504\"] \n  4 -> 5 [size =\"12437504\"]\n  5 [size=\"57049088\", alpha=\"0.08\", expect_size=\"28524544\"] \n  5 -> 6 [size =\"28524544\"]\n  6 [size=\"57167872\", alpha=\"0.20\", expect_size=\"28583936\"] \n  6 -> 7 [size =\"28583936\"]\n  7 [size=\"21620736\", alpha=\"0.01\", expect_size=\"10810368\"] \n  7 -> 8 [size =\"10810368\"]\n  8 [size=\"13058048\", alpha=\"0.05\", expect_size=\"6529024\"] \n  8 -> 9 [size =\"6529024\"]\n  9 [size=\"82411520\", alpha=\"0.00\", expect_size=\"41205760\"] \n  9 -> 10 [size =\"41205760\"]\n  10 [size=\"62259200\", alpha=\"0.20\", expect_size=\"31129600\"] \n  10 -> 11 [size =\"31129600\"]\n  11 [size=\"29224960\", alpha=\"0.06\", expect_size=\"14612480\"] \n  11 -> 12 [size =\"14612480\"]\n  12 [size=\"17508352\", alpha=\"0.12\", expect_size=\"8754176\"] \n  12 -> 13 [size =\"8754176\"]\n  13 [size=\"23840768\", alpha=\"0.02\", expect_size=\"11920384\"] \n  13 -> 14 [size =\"11920384\"]\n  14 [size=\"25325568\", alpha=\"0.19\", expect_size=\"12662784\"] \n  14 -> 15 [size =\"12662784\"]\n  15 [size=\"71518208\", alpha=\"0.08\", expect_size=\"35759104\"] \n  15 -> 16 [size =\"35759104\"]\n  16 [size=\"14802944\", alpha=\"0.12\", expect_size=\"7401472\"] \n  16 -> 17 [size =\"7401472\"]\n  17 [size=\"14135296\", alpha=\"0.01\", expect_size=\"7067648\"] \n  17 -> 18 [size =\"7067648\"]\n  18 [size=\"19828736\", alpha=\"0.03\", expect_size=\"9914368\"] \n  18 -> 19 [size =\"9914368\"]\n  19 [size=\"45051904\", alpha=\"0.03\", expect_size=\"22525952\"] \n  19 -> 20 [size =\"22525952\"]\n  20 [size=\"45608960\", alpha=\"0.00\", expect_size=\"22804480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19939840\", alpha=\"0.06\", expect_size=\"7975936\"] \n  1 -> 2 [size =\"7975936\"]\n  2 [size=\"82685440\", alpha=\"0.01\", expect_size=\"33074176\"] \n  2 -> 3 [size =\"33074176\"]\n  3 [size=\"24168960\", alpha=\"0.05\", expect_size=\"9667584\"] \n  3 -> 4 [size =\"9667584\"]\n  4 [size=\"50885120\", alpha=\"0.19\", expect_size=\"20354048\"] \n  4 -> 5 [size =\"20354048\"]\n  5 [size=\"130429440\", alpha=\"0.20\", expect_size=\"52171776\"] \n  5 -> 6 [size =\"52171776\"]\n  6 [size=\"57029120\", alpha=\"0.06\", expect_size=\"22811648\"] \n  6 -> 7 [size =\"22811648\"]\n  7 [size=\"24384000\", alpha=\"0.11\", expect_size=\"9753600\"] \n  7 -> 8 [size =\"9753600\"]\n  8 [size=\"17280000\", alpha=\"0.12\", expect_size=\"6912000\"] \n  8 -> 9 [size =\"6912000\"]\n  9 [size=\"58805760\", alpha=\"0.05\", expect_size=\"23522304\"] \n  9 -> 10 [size =\"23522304\"]\n  10 [size=\"78338560\", alpha=\"0.13\", expect_size=\"31335424\"] \n  10 -> 11 [size =\"31335424\"]\n  11 [size=\"77440000\", alpha=\"0.11\", expect_size=\"30976000\"] \n  11 -> 12 [size =\"30976000\"]\n  12 [size=\"113249280\", alpha=\"0.17\", expect_size=\"45299712\"] \n  12 -> 13 [size =\"45299712\"]\n  13 [size=\"119354880\", alpha=\"0.16\", expect_size=\"47741952\"] \n  13 -> 14 [size =\"47741952\"]\n  14 [size=\"28707840\", alpha=\"0.19\", expect_size=\"11483136\"] \n  14 -> 15 [size =\"11483136\"]\n  15 [size=\"20183040\", alpha=\"0.05\", expect_size=\"8073216\"] \n  15 -> 16 [size =\"8073216\"]\n  16 [size=\"18324480\", alpha=\"0.06\", expect_size=\"7329792\"] \n  16 -> 17 [size =\"7329792\"]\n  17 [size=\"54704640\", alpha=\"0.14\", expect_size=\"21881856\"] \n  17 -> 18 [size =\"21881856\"]\n  18 [size=\"120184320\", alpha=\"0.02\", expect_size=\"48073728\"] \n  18 -> 19 [size =\"48073728\"]\n  19 [size=\"70246400\", alpha=\"0.18\", expect_size=\"28098560\"] \n  19 -> 20 [size =\"28098560\"]\n  20 [size=\"99640320\", alpha=\"0.02\", expect_size=\"39856128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165635413\", alpha=\"0.02\", expect_size=\"49690624\"] \n  2 [size=\"19486720\", alpha=\"0.15\", expect_size=\"5846016\"] \n  2 -> 3 [size =\"5846016\"]\n  3 [size=\"142854827\", alpha=\"0.00\", expect_size=\"42856448\"] \n  3 -> 4 [size =\"42856448\"]\n  3 -> 5 [size =\"42856448\"]\n  4 [size=\"46865067\", alpha=\"0.04\", expect_size=\"14059520\"] \n  5 [size=\"172240213\", alpha=\"0.06\", expect_size=\"51672064\"] \n  5 -> 6 [size =\"51672064\"]\n  5 -> 7 [size =\"51672064\"]\n  6 [size=\"156733440\", alpha=\"0.07\", expect_size=\"47020032\"] \n  6 -> 8 [size =\"47020032\"]\n  7 [size=\"142120960\", alpha=\"0.02\", expect_size=\"42636288\"] \n  8 [size=\"93330773\", alpha=\"0.15\", expect_size=\"27999232\"] \n  8 -> 9 [size =\"27999232\"]\n  8 -> 10 [size =\"27999232\"]\n  9 [size=\"99290453\", alpha=\"0.15\", expect_size=\"29787136\"] \n  9 -> 11 [size =\"29787136\"]\n  10 [size=\"84520960\", alpha=\"0.10\", expect_size=\"25356288\"] \n  11 [size=\"55005867\", alpha=\"0.09\", expect_size=\"16501760\"] \n  11 -> 12 [size =\"16501760\"]\n  12 [size=\"67205120\", alpha=\"0.16\", expect_size=\"20161536\"] \n  12 -> 13 [size =\"20161536\"]\n  12 -> 14 [size =\"20161536\"]\n  13 [size=\"28258987\", alpha=\"0.10\", expect_size=\"8477696\"] \n  13 -> 15 [size =\"8477696\"]\n  13 -> 16 [size =\"8477696\"]\n  14 [size=\"31679147\", alpha=\"0.16\", expect_size=\"9503744\"] \n  15 [size=\"65290240\", alpha=\"0.05\", expect_size=\"19587072\"] \n  16 [size=\"115391147\", alpha=\"0.14\", expect_size=\"34617344\"] \n  16 -> 17 [size =\"34617344\"]\n  17 [size=\"166915413\", alpha=\"0.12\", expect_size=\"50074624\"] \n  17 -> 18 [size =\"50074624\"]\n  17 -> 19 [size =\"50074624\"]\n  18 [size=\"25490773\", alpha=\"0.14\", expect_size=\"7647232\"] \n  18 -> 20 [size =\"7647232\"]\n  19 [size=\"146834773\", alpha=\"0.03\", expect_size=\"44050432\"] \n  20 [size=\"108233387\", alpha=\"0.01\", expect_size=\"32470016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89411584\", alpha=\"0.02\", expect_size=\"44705792\"] \n  1 -> 12 [size =\"44705792\"]\n  1 -> 13 [size =\"44705792\"]\n  1 -> 14 [size =\"44705792\"]\n  1 -> 15 [size =\"44705792\"]\n  2 [size=\"35735552\", alpha=\"0.02\", expect_size=\"17867776\"] \n  2 -> 9 [size =\"17867776\"]\n  2 -> 10 [size =\"17867776\"]\n  2 -> 13 [size =\"17867776\"]\n  2 -> 14 [size =\"17867776\"]\n  3 [size=\"65656832\", alpha=\"0.12\", expect_size=\"32828416\"] \n  3 -> 10 [size =\"32828416\"]\n  3 -> 13 [size =\"32828416\"]\n  3 -> 14 [size =\"32828416\"]\n  3 -> 15 [size =\"32828416\"]\n  4 [size=\"69560320\", alpha=\"0.18\", expect_size=\"34780160\"] \n  5 [size=\"58617856\", alpha=\"0.18\", expect_size=\"29308928\"] \n  6 [size=\"72267776\", alpha=\"0.07\", expect_size=\"36133888\"] \n  6 -> 10 [size =\"36133888\"]\n  6 -> 11 [size =\"36133888\"]\n  6 -> 13 [size =\"36133888\"]\n  6 -> 14 [size =\"36133888\"]\n  7 [size=\"24559616\", alpha=\"0.11\", expect_size=\"12279808\"] \n  7 -> 11 [size =\"12279808\"]\n  7 -> 13 [size =\"12279808\"]\n  7 -> 15 [size =\"12279808\"]\n  8 [size=\"76115968\", alpha=\"0.08\", expect_size=\"38057984\"] \n  8 -> 9 [size =\"38057984\"]\n  8 -> 10 [size =\"38057984\"]\n  8 -> 11 [size =\"38057984\"]\n  8 -> 14 [size =\"38057984\"]\n  9 [size=\"79974400\", alpha=\"0.11\", expect_size=\"39987200\"] \n  9 -> 16 [size =\"39987200\"]\n  9 -> 18 [size =\"39987200\"]\n  9 -> 19 [size =\"39987200\"]\n  9 -> 20 [size =\"39987200\"]\n  10 [size=\"66291712\", alpha=\"0.18\", expect_size=\"33145856\"] \n  10 -> 16 [size =\"33145856\"]\n  10 -> 17 [size =\"33145856\"]\n  10 -> 20 [size =\"33145856\"]\n  11 [size=\"102555648\", alpha=\"0.10\", expect_size=\"51277824\"] \n  11 -> 16 [size =\"51277824\"]\n  11 -> 17 [size =\"51277824\"]\n  11 -> 20 [size =\"51277824\"]\n  12 [size=\"19412992\", alpha=\"0.18\", expect_size=\"9706496\"] \n  12 -> 17 [size =\"9706496\"]\n  12 -> 17 [size =\"9706496\"]\n  12 -> 18 [size =\"9706496\"]\n  12 -> 19 [size =\"9706496\"]\n  12 -> 20 [size =\"9706496\"]\n  13 [size=\"29030400\", alpha=\"0.07\", expect_size=\"14515200\"] \n  13 -> 19 [size =\"14515200\"]\n  14 [size=\"84480000\", alpha=\"0.19\", expect_size=\"42240000\"] \n  14 -> 16 [size =\"42240000\"]\n  14 -> 18 [size =\"42240000\"]\n  15 [size=\"77086720\", alpha=\"0.16\", expect_size=\"38543360\"] \n  15 -> 16 [size =\"38543360\"]\n  15 -> 18 [size =\"38543360\"]\n  16 [size=\"67520512\", alpha=\"0.09\", expect_size=\"33760256\"] \n  17 [size=\"99690496\", alpha=\"0.11\", expect_size=\"49845248\"] \n  18 [size=\"58763264\", alpha=\"0.00\", expect_size=\"29381632\"] \n  19 [size=\"98682880\", alpha=\"0.02\", expect_size=\"49341440\"] \n  20 [size=\"57505792\", alpha=\"0.17\", expect_size=\"28752896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70720000\", alpha=\"0.10\", expect_size=\"28288000\"] \n  1 -> 18 [size =\"28288000\"]\n  2 [size=\"20108800\", alpha=\"0.20\", expect_size=\"8043520\"] \n  2 -> 12 [size =\"8043520\"]\n  2 -> 15 [size =\"8043520\"]\n  2 -> 16 [size =\"8043520\"]\n  3 [size=\"38062080\", alpha=\"0.10\", expect_size=\"15224832\"] \n  3 -> 16 [size =\"15224832\"]\n  3 -> 18 [size =\"15224832\"]\n  3 -> 20 [size =\"15224832\"]\n  4 [size=\"120448000\", alpha=\"0.03\", expect_size=\"48179200\"] \n  4 -> 16 [size =\"48179200\"]\n  4 -> 17 [size =\"48179200\"]\n  4 -> 18 [size =\"48179200\"]\n  4 -> 20 [size =\"48179200\"]\n  5 [size=\"60695040\", alpha=\"0.15\", expect_size=\"24278016\"] \n  5 -> 20 [size =\"24278016\"]\n  6 [size=\"122306560\", alpha=\"0.09\", expect_size=\"48922624\"] \n  6 -> 13 [size =\"48922624\"]\n  6 -> 15 [size =\"48922624\"]\n  6 -> 18 [size =\"48922624\"]\n  7 [size=\"129203200\", alpha=\"0.00\", expect_size=\"51681280\"] \n  7 -> 12 [size =\"51681280\"]\n  7 -> 15 [size =\"51681280\"]\n  7 -> 16 [size =\"51681280\"]\n  8 [size=\"108326400\", alpha=\"0.08\", expect_size=\"43330560\"] \n  8 -> 14 [size =\"43330560\"]\n  9 [size=\"53365760\", alpha=\"0.06\", expect_size=\"21346304\"] \n  9 -> 12 [size =\"21346304\"]\n  9 -> 13 [size =\"21346304\"]\n  9 -> 14 [size =\"21346304\"]\n  9 -> 16 [size =\"21346304\"]\n  9 -> 18 [size =\"21346304\"]\n  10 [size=\"94528000\", alpha=\"0.12\", expect_size=\"37811200\"] \n  10 -> 13 [size =\"37811200\"]\n  10 -> 19 [size =\"37811200\"]\n  11 [size=\"112279040\", alpha=\"0.02\", expect_size=\"44911616\"] \n  11 -> 14 [size =\"44911616\"]\n  11 -> 15 [size =\"44911616\"]\n  11 -> 17 [size =\"44911616\"]\n  11 -> 18 [size =\"44911616\"]\n  11 -> 20 [size =\"44911616\"]\n  12 [size=\"50854400\", alpha=\"0.02\", expect_size=\"20341760\"] \n  13 [size=\"49720320\", alpha=\"0.17\", expect_size=\"19888128\"] \n  14 [size=\"107896320\", alpha=\"0.15\", expect_size=\"43158528\"] \n  15 [size=\"126622720\", alpha=\"0.04\", expect_size=\"50649088\"] \n  16 [size=\"97233920\", alpha=\"0.05\", expect_size=\"38893568\"] \n  17 [size=\"33356800\", alpha=\"0.20\", expect_size=\"13342720\"] \n  18 [size=\"35115520\", alpha=\"0.03\", expect_size=\"14046208\"] \n  19 [size=\"84815360\", alpha=\"0.05\", expect_size=\"33926144\"] \n  20 [size=\"117790720\", alpha=\"0.01\", expect_size=\"47116288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30976000\", alpha=\"0.16\", expect_size=\"15488000\"] \n  1 -> 2 [size =\"15488000\"]\n  2 [size=\"67254272\", alpha=\"0.07\", expect_size=\"33627136\"] \n  2 -> 3 [size =\"33627136\"]\n  3 [size=\"32839680\", alpha=\"0.06\", expect_size=\"16419840\"] \n  3 -> 4 [size =\"16419840\"]\n  4 [size=\"22071296\", alpha=\"0.18\", expect_size=\"11035648\"] \n  4 -> 5 [size =\"11035648\"]\n  5 [size=\"29526016\", alpha=\"0.20\", expect_size=\"14763008\"] \n  5 -> 6 [size =\"14763008\"]\n  6 [size=\"97355776\", alpha=\"0.08\", expect_size=\"48677888\"] \n  6 -> 7 [size =\"48677888\"]\n  7 [size=\"66285568\", alpha=\"0.16\", expect_size=\"33142784\"] \n  7 -> 8 [size =\"33142784\"]\n  8 [size=\"98945024\", alpha=\"0.08\", expect_size=\"49472512\"] \n  8 -> 9 [size =\"49472512\"]\n  9 [size=\"84731904\", alpha=\"0.02\", expect_size=\"42365952\"] \n  9 -> 10 [size =\"42365952\"]\n  10 [size=\"29728768\", alpha=\"0.12\", expect_size=\"14864384\"] \n  10 -> 11 [size =\"14864384\"]\n  11 [size=\"26341376\", alpha=\"0.00\", expect_size=\"13170688\"] \n  11 -> 12 [size =\"13170688\"]\n  12 [size=\"99670016\", alpha=\"0.02\", expect_size=\"49835008\"] \n  12 -> 13 [size =\"49835008\"]\n  13 [size=\"37396480\", alpha=\"0.20\", expect_size=\"18698240\"] \n  13 -> 14 [size =\"18698240\"]\n  14 [size=\"66465792\", alpha=\"0.16\", expect_size=\"33232896\"] \n  14 -> 15 [size =\"33232896\"]\n  15 [size=\"59287552\", alpha=\"0.18\", expect_size=\"29643776\"] \n  15 -> 16 [size =\"29643776\"]\n  16 [size=\"59062272\", alpha=\"0.16\", expect_size=\"29531136\"] \n  16 -> 17 [size =\"29531136\"]\n  17 [size=\"97087488\", alpha=\"0.14\", expect_size=\"48543744\"] \n  17 -> 18 [size =\"48543744\"]\n  18 [size=\"77232128\", alpha=\"0.11\", expect_size=\"38616064\"] \n  18 -> 19 [size =\"38616064\"]\n  19 [size=\"18925568\", alpha=\"0.13\", expect_size=\"9462784\"] \n  19 -> 20 [size =\"9462784\"]\n  20 [size=\"26533888\", alpha=\"0.07\", expect_size=\"13266944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24222720\", alpha=\"0.17\", expect_size=\"9689088\"] \n  1 -> 16 [size =\"9689088\"]\n  1 -> 17 [size =\"9689088\"]\n  2 [size=\"72286720\", alpha=\"0.02\", expect_size=\"28914688\"] \n  2 -> 16 [size =\"28914688\"]\n  2 -> 18 [size =\"28914688\"]\n  2 -> 20 [size =\"28914688\"]\n  3 [size=\"51246080\", alpha=\"0.00\", expect_size=\"20498432\"] \n  3 -> 15 [size =\"20498432\"]\n  3 -> 16 [size =\"20498432\"]\n  3 -> 18 [size =\"20498432\"]\n  3 -> 20 [size =\"20498432\"]\n  4 [size=\"99770880\", alpha=\"0.05\", expect_size=\"39908352\"] \n  4 -> 13 [size =\"39908352\"]\n  4 -> 15 [size =\"39908352\"]\n  4 -> 16 [size =\"39908352\"]\n  4 -> 18 [size =\"39908352\"]\n  4 -> 20 [size =\"39908352\"]\n  5 [size=\"58836480\", alpha=\"0.12\", expect_size=\"23534592\"] \n  5 -> 15 [size =\"23534592\"]\n  6 [size=\"66826240\", alpha=\"0.06\", expect_size=\"26730496\"] \n  6 -> 14 [size =\"26730496\"]\n  6 -> 17 [size =\"26730496\"]\n  7 [size=\"87436800\", alpha=\"0.08\", expect_size=\"34974720\"] \n  7 -> 17 [size =\"34974720\"]\n  8 [size=\"19084800\", alpha=\"0.08\", expect_size=\"7633920\"] \n  9 [size=\"103004160\", alpha=\"0.19\", expect_size=\"41201664\"] \n  9 -> 16 [size =\"41201664\"]\n  9 -> 18 [size =\"41201664\"]\n  9 -> 19 [size =\"41201664\"]\n  10 [size=\"50744320\", alpha=\"0.00\", expect_size=\"20297728\"] \n  10 -> 15 [size =\"20297728\"]\n  10 -> 16 [size =\"20297728\"]\n  10 -> 18 [size =\"20297728\"]\n  10 -> 19 [size =\"20297728\"]\n  11 [size=\"47961600\", alpha=\"0.03\", expect_size=\"19184640\"] \n  11 -> 19 [size =\"19184640\"]\n  12 [size=\"29913600\", alpha=\"0.17\", expect_size=\"11965440\"] \n  13 [size=\"39344640\", alpha=\"0.05\", expect_size=\"15737856\"] \n  14 [size=\"40686080\", alpha=\"0.10\", expect_size=\"16274432\"] \n  15 [size=\"71516160\", alpha=\"0.07\", expect_size=\"28606464\"] \n  16 [size=\"25848320\", alpha=\"0.15\", expect_size=\"10339328\"] \n  17 [size=\"58959360\", alpha=\"0.03\", expect_size=\"23583744\"] \n  18 [size=\"108352000\", alpha=\"0.05\", expect_size=\"43340800\"] \n  19 [size=\"34941440\", alpha=\"0.15\", expect_size=\"13976576\"] \n  20 [size=\"30453760\", alpha=\"0.06\", expect_size=\"12181504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103682560\", alpha=\"0.06\", expect_size=\"41473024\"] \n  1 -> 2 [size =\"41473024\"]\n  2 [size=\"105692160\", alpha=\"0.07\", expect_size=\"42276864\"] \n  2 -> 3 [size =\"42276864\"]\n  3 [size=\"33433600\", alpha=\"0.03\", expect_size=\"13373440\"] \n  3 -> 4 [size =\"13373440\"]\n  4 [size=\"123522560\", alpha=\"0.18\", expect_size=\"49409024\"] \n  4 -> 5 [size =\"49409024\"]\n  5 [size=\"41049600\", alpha=\"0.03\", expect_size=\"16419840\"] \n  5 -> 6 [size =\"16419840\"]\n  6 [size=\"125166080\", alpha=\"0.02\", expect_size=\"50066432\"] \n  6 -> 7 [size =\"50066432\"]\n  7 [size=\"26967040\", alpha=\"0.04\", expect_size=\"10786816\"] \n  7 -> 8 [size =\"10786816\"]\n  8 [size=\"30202880\", alpha=\"0.04\", expect_size=\"12081152\"] \n  8 -> 9 [size =\"12081152\"]\n  9 [size=\"13852160\", alpha=\"0.09\", expect_size=\"5540864\"] \n  9 -> 10 [size =\"5540864\"]\n  10 [size=\"128496640\", alpha=\"0.05\", expect_size=\"51398656\"] \n  10 -> 11 [size =\"51398656\"]\n  11 [size=\"81216000\", alpha=\"0.05\", expect_size=\"32486400\"] \n  11 -> 12 [size =\"32486400\"]\n  12 [size=\"118730240\", alpha=\"0.06\", expect_size=\"47492096\"] \n  12 -> 13 [size =\"47492096\"]\n  13 [size=\"39523840\", alpha=\"0.04\", expect_size=\"15809536\"] \n  13 -> 14 [size =\"15809536\"]\n  14 [size=\"55736320\", alpha=\"0.09\", expect_size=\"22294528\"] \n  14 -> 15 [size =\"22294528\"]\n  15 [size=\"45501440\", alpha=\"0.18\", expect_size=\"18200576\"] \n  15 -> 16 [size =\"18200576\"]\n  16 [size=\"65064960\", alpha=\"0.16\", expect_size=\"26025984\"] \n  16 -> 17 [size =\"26025984\"]\n  17 [size=\"76175360\", alpha=\"0.03\", expect_size=\"30470144\"] \n  17 -> 18 [size =\"30470144\"]\n  18 [size=\"97448960\", alpha=\"0.11\", expect_size=\"38979584\"] \n  18 -> 19 [size =\"38979584\"]\n  19 [size=\"121792000\", alpha=\"0.16\", expect_size=\"48716800\"] \n  19 -> 20 [size =\"48716800\"]\n  20 [size=\"58659840\", alpha=\"0.10\", expect_size=\"23463936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118338560\", alpha=\"0.18\", expect_size=\"47335424\"] \n  1 -> 8 [size =\"47335424\"]\n  1 -> 9 [size =\"47335424\"]\n  1 -> 11 [size =\"47335424\"]\n  1 -> 12 [size =\"47335424\"]\n  1 -> 13 [size =\"47335424\"]\n  1 -> 14 [size =\"47335424\"]\n  1 -> 15 [size =\"47335424\"]\n  2 [size=\"30745600\", alpha=\"0.01\", expect_size=\"12298240\"] \n  2 -> 14 [size =\"12298240\"]\n  3 [size=\"102113280\", alpha=\"0.07\", expect_size=\"40845312\"] \n  3 -> 9 [size =\"40845312\"]\n  3 -> 11 [size =\"40845312\"]\n  3 -> 12 [size =\"40845312\"]\n  3 -> 14 [size =\"40845312\"]\n  4 [size=\"51740160\", alpha=\"0.07\", expect_size=\"20696064\"] \n  4 -> 9 [size =\"20696064\"]\n  4 -> 11 [size =\"20696064\"]\n  4 -> 12 [size =\"20696064\"]\n  4 -> 13 [size =\"20696064\"]\n  4 -> 14 [size =\"20696064\"]\n  5 [size=\"33914880\", alpha=\"0.00\", expect_size=\"13565952\"] \n  5 -> 9 [size =\"13565952\"]\n  5 -> 10 [size =\"13565952\"]\n  5 -> 11 [size =\"13565952\"]\n  6 [size=\"94261760\", alpha=\"0.18\", expect_size=\"37704704\"] \n  6 -> 8 [size =\"37704704\"]\n  6 -> 9 [size =\"37704704\"]\n  6 -> 11 [size =\"37704704\"]\n  6 -> 12 [size =\"37704704\"]\n  7 [size=\"21163520\", alpha=\"0.00\", expect_size=\"8465408\"] \n  7 -> 8 [size =\"8465408\"]\n  7 -> 12 [size =\"8465408\"]\n  7 -> 13 [size =\"8465408\"]\n  7 -> 14 [size =\"8465408\"]\n  8 [size=\"73840640\", alpha=\"0.02\", expect_size=\"29536256\"] \n  8 -> 16 [size =\"29536256\"]\n  8 -> 19 [size =\"29536256\"]\n  8 -> 20 [size =\"29536256\"]\n  9 [size=\"105080320\", alpha=\"0.11\", expect_size=\"42032128\"] \n  9 -> 17 [size =\"42032128\"]\n  9 -> 19 [size =\"42032128\"]\n  9 -> 20 [size =\"42032128\"]\n  10 [size=\"71480320\", alpha=\"0.04\", expect_size=\"28592128\"] \n  10 -> 16 [size =\"28592128\"]\n  10 -> 20 [size =\"28592128\"]\n  11 [size=\"47936000\", alpha=\"0.05\", expect_size=\"19174400\"] \n  11 -> 17 [size =\"19174400\"]\n  11 -> 19 [size =\"19174400\"]\n  11 -> 20 [size =\"19174400\"]\n  12 [size=\"33738240\", alpha=\"0.00\", expect_size=\"13495296\"] \n  12 -> 19 [size =\"13495296\"]\n  12 -> 20 [size =\"13495296\"]\n  13 [size=\"38328320\", alpha=\"0.01\", expect_size=\"15331328\"] \n  13 -> 18 [size =\"15331328\"]\n  14 [size=\"82516480\", alpha=\"0.00\", expect_size=\"33006592\"] \n  15 [size=\"123210240\", alpha=\"0.07\", expect_size=\"49284096\"] \n  15 -> 17 [size =\"49284096\"]\n  16 [size=\"123394560\", alpha=\"0.15\", expect_size=\"49357824\"] \n  17 [size=\"112373760\", alpha=\"0.20\", expect_size=\"44949504\"] \n  18 [size=\"114703360\", alpha=\"0.05\", expect_size=\"45881344\"] \n  19 [size=\"124474880\", alpha=\"0.02\", expect_size=\"49789952\"] \n  20 [size=\"71713280\", alpha=\"0.08\", expect_size=\"28685312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60298240\", alpha=\"0.19\", expect_size=\"24119296\"] \n  1 -> 13 [size =\"24119296\"]\n  1 -> 16 [size =\"24119296\"]\n  1 -> 17 [size =\"24119296\"]\n  1 -> 18 [size =\"24119296\"]\n  1 -> 19 [size =\"24119296\"]\n  1 -> 20 [size =\"24119296\"]\n  2 [size=\"109204480\", alpha=\"0.17\", expect_size=\"43681792\"] \n  2 -> 13 [size =\"43681792\"]\n  2 -> 14 [size =\"43681792\"]\n  2 -> 15 [size =\"43681792\"]\n  2 -> 16 [size =\"43681792\"]\n  2 -> 18 [size =\"43681792\"]\n  3 [size=\"29862400\", alpha=\"0.11\", expect_size=\"11944960\"] \n  3 -> 16 [size =\"11944960\"]\n  3 -> 18 [size =\"11944960\"]\n  3 -> 20 [size =\"11944960\"]\n  4 [size=\"35422720\", alpha=\"0.11\", expect_size=\"14169088\"] \n  4 -> 15 [size =\"14169088\"]\n  4 -> 16 [size =\"14169088\"]\n  4 -> 17 [size =\"14169088\"]\n  4 -> 18 [size =\"14169088\"]\n  5 [size=\"50531840\", alpha=\"0.14\", expect_size=\"20212736\"] \n  5 -> 14 [size =\"20212736\"]\n  5 -> 15 [size =\"20212736\"]\n  5 -> 16 [size =\"20212736\"]\n  5 -> 17 [size =\"20212736\"]\n  5 -> 18 [size =\"20212736\"]\n  5 -> 19 [size =\"20212736\"]\n  5 -> 20 [size =\"20212736\"]\n  6 [size=\"74122240\", alpha=\"0.05\", expect_size=\"29648896\"] \n  6 -> 14 [size =\"29648896\"]\n  6 -> 16 [size =\"29648896\"]\n  6 -> 17 [size =\"29648896\"]\n  6 -> 17 [size =\"29648896\"]\n  6 -> 18 [size =\"29648896\"]\n  6 -> 20 [size =\"29648896\"]\n  7 [size=\"76341760\", alpha=\"0.02\", expect_size=\"30536704\"] \n  7 -> 12 [size =\"30536704\"]\n  7 -> 16 [size =\"30536704\"]\n  7 -> 18 [size =\"30536704\"]\n  7 -> 20 [size =\"30536704\"]\n  8 [size=\"41873920\", alpha=\"0.14\", expect_size=\"16749568\"] \n  8 -> 15 [size =\"16749568\"]\n  8 -> 16 [size =\"16749568\"]\n  8 -> 17 [size =\"16749568\"]\n  8 -> 18 [size =\"16749568\"]\n  8 -> 19 [size =\"16749568\"]\n  8 -> 20 [size =\"16749568\"]\n  9 [size=\"128806400\", alpha=\"0.09\", expect_size=\"51522560\"] \n  9 -> 15 [size =\"51522560\"]\n  9 -> 16 [size =\"51522560\"]\n  9 -> 17 [size =\"51522560\"]\n  9 -> 18 [size =\"51522560\"]\n  9 -> 20 [size =\"51522560\"]\n  9 -> 20 [size =\"51522560\"]\n  10 [size=\"90332160\", alpha=\"0.14\", expect_size=\"36132864\"] \n  10 -> 14 [size =\"36132864\"]\n  10 -> 16 [size =\"36132864\"]\n  10 -> 18 [size =\"36132864\"]\n  10 -> 20 [size =\"36132864\"]\n  11 [size=\"24960000\", alpha=\"0.14\", expect_size=\"9984000\"] \n  11 -> 14 [size =\"9984000\"]\n  11 -> 15 [size =\"9984000\"]\n  11 -> 19 [size =\"9984000\"]\n  11 -> 20 [size =\"9984000\"]\n  12 [size=\"17932800\", alpha=\"0.01\", expect_size=\"7173120\"] \n  13 [size=\"116697600\", alpha=\"0.10\", expect_size=\"46679040\"] \n  14 [size=\"63951360\", alpha=\"0.02\", expect_size=\"25580544\"] \n  15 [size=\"129277440\", alpha=\"0.14\", expect_size=\"51710976\"] \n  16 [size=\"91622400\", alpha=\"0.15\", expect_size=\"36648960\"] \n  17 [size=\"118269440\", alpha=\"0.18\", expect_size=\"47307776\"] \n  18 [size=\"130629120\", alpha=\"0.17\", expect_size=\"52251648\"] \n  19 [size=\"97221120\", alpha=\"0.20\", expect_size=\"38888448\"] \n  20 [size=\"35074560\", alpha=\"0.04\", expect_size=\"14029824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51169280\", alpha=\"0.01\", expect_size=\"15350784\"] \n  1 -> 2 [size =\"15350784\"]\n  2 [size=\"100181333\", alpha=\"0.14\", expect_size=\"30054400\"] \n  2 -> 3 [size =\"30054400\"]\n  3 [size=\"87866027\", alpha=\"0.14\", expect_size=\"26359808\"] \n  3 -> 4 [size =\"26359808\"]\n  4 [size=\"70707200\", alpha=\"0.03\", expect_size=\"21212160\"] \n  4 -> 5 [size =\"21212160\"]\n  5 [size=\"36509013\", alpha=\"0.16\", expect_size=\"10952704\"] \n  5 -> 6 [size =\"10952704\"]\n  6 [size=\"87012693\", alpha=\"0.18\", expect_size=\"26103808\"] \n  6 -> 7 [size =\"26103808\"]\n  7 [size=\"156590080\", alpha=\"0.00\", expect_size=\"46977024\"] \n  7 -> 8 [size =\"46977024\"]\n  8 [size=\"170707627\", alpha=\"0.19\", expect_size=\"51212288\"] \n  8 -> 9 [size =\"51212288\"]\n  9 [size=\"120183467\", alpha=\"0.10\", expect_size=\"36055040\"] \n  9 -> 10 [size =\"36055040\"]\n  10 [size=\"131140267\", alpha=\"0.09\", expect_size=\"39342080\"] \n  10 -> 11 [size =\"39342080\"]\n  11 [size=\"65122987\", alpha=\"0.05\", expect_size=\"19536896\"] \n  11 -> 12 [size =\"19536896\"]\n  12 [size=\"72543573\", alpha=\"0.04\", expect_size=\"21763072\"] \n  12 -> 13 [size =\"21763072\"]\n  13 [size=\"28405760\", alpha=\"0.06\", expect_size=\"8521728\"] \n  13 -> 14 [size =\"8521728\"]\n  14 [size=\"140219733\", alpha=\"0.16\", expect_size=\"42065920\"] \n  14 -> 15 [size =\"42065920\"]\n  15 [size=\"162372267\", alpha=\"0.06\", expect_size=\"48711680\"] \n  15 -> 16 [size =\"48711680\"]\n  16 [size=\"133870933\", alpha=\"0.12\", expect_size=\"40161280\"] \n  16 -> 17 [size =\"40161280\"]\n  17 [size=\"121128960\", alpha=\"0.03\", expect_size=\"36338688\"] \n  17 -> 18 [size =\"36338688\"]\n  18 [size=\"124296533\", alpha=\"0.14\", expect_size=\"37288960\"] \n  18 -> 19 [size =\"37288960\"]\n  19 [size=\"118398293\", alpha=\"0.12\", expect_size=\"35519488\"] \n  19 -> 20 [size =\"35519488\"]\n  20 [size=\"38038187\", alpha=\"0.12\", expect_size=\"11411456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53501440\", alpha=\"0.05\", expect_size=\"21400576\"] \n  1 -> 3 [size =\"21400576\"]\n  1 -> 4 [size =\"21400576\"]\n  2 [size=\"47388160\", alpha=\"0.08\", expect_size=\"18955264\"] \n  2 -> 3 [size =\"18955264\"]\n  2 -> 4 [size =\"18955264\"]\n  3 [size=\"81848320\", alpha=\"0.08\", expect_size=\"32739328\"] \n  3 -> 5 [size =\"32739328\"]\n  3 -> 6 [size =\"32739328\"]\n  4 [size=\"52718080\", alpha=\"0.19\", expect_size=\"21087232\"] \n  4 -> 5 [size =\"21087232\"]\n  4 -> 6 [size =\"21087232\"]\n  5 [size=\"100508160\", alpha=\"0.03\", expect_size=\"40203264\"] \n  5 -> 7 [size =\"40203264\"]\n  5 -> 8 [size =\"40203264\"]\n  6 [size=\"111626240\", alpha=\"0.07\", expect_size=\"44650496\"] \n  6 -> 7 [size =\"44650496\"]\n  6 -> 8 [size =\"44650496\"]\n  7 [size=\"63677440\", alpha=\"0.00\", expect_size=\"25470976\"] \n  7 -> 9 [size =\"25470976\"]\n  8 [size=\"16750080\", alpha=\"0.16\", expect_size=\"6700032\"] \n  8 -> 9 [size =\"6700032\"]\n  9 [size=\"38161920\", alpha=\"0.13\", expect_size=\"15264768\"] \n  9 -> 10 [size =\"15264768\"]\n  10 [size=\"99896320\", alpha=\"0.08\", expect_size=\"39958528\"] \n  10 -> 11 [size =\"39958528\"]\n  10 -> 12 [size =\"39958528\"]\n  11 [size=\"52472320\", alpha=\"0.02\", expect_size=\"20988928\"] \n  11 -> 13 [size =\"20988928\"]\n  11 -> 14 [size =\"20988928\"]\n  12 [size=\"84277760\", alpha=\"0.01\", expect_size=\"33711104\"] \n  12 -> 13 [size =\"33711104\"]\n  13 [size=\"15595520\", alpha=\"0.08\", expect_size=\"6238208\"] \n  13 -> 15 [size =\"6238208\"]\n  13 -> 16 [size =\"6238208\"]\n  14 [size=\"61125120\", alpha=\"0.16\", expect_size=\"24450048\"] \n  14 -> 15 [size =\"24450048\"]\n  14 -> 16 [size =\"24450048\"]\n  15 [size=\"53020160\", alpha=\"0.03\", expect_size=\"21208064\"] \n  15 -> 17 [size =\"21208064\"]\n  15 -> 18 [size =\"21208064\"]\n  16 [size=\"70978560\", alpha=\"0.12\", expect_size=\"28391424\"] \n  16 -> 17 [size =\"28391424\"]\n  16 -> 18 [size =\"28391424\"]\n  17 [size=\"114032640\", alpha=\"0.06\", expect_size=\"45613056\"] \n  17 -> 19 [size =\"45613056\"]\n  17 -> 20 [size =\"45613056\"]\n  18 [size=\"114657280\", alpha=\"0.11\", expect_size=\"45862912\"] \n  18 -> 19 [size =\"45862912\"]\n  18 -> 20 [size =\"45862912\"]\n  19 [size=\"92915200\", alpha=\"0.01\", expect_size=\"37166080\"] \n  20 [size=\"49088000\", alpha=\"0.09\", expect_size=\"19635200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68448256\", alpha=\"0.09\", expect_size=\"34224128\"] \n  1 -> 4 [size =\"34224128\"]\n  1 -> 6 [size =\"34224128\"]\n  2 [size=\"68812800\", alpha=\"0.11\", expect_size=\"34406400\"] \n  2 -> 5 [size =\"34406400\"]\n  2 -> 6 [size =\"34406400\"]\n  3 [size=\"93034496\", alpha=\"0.17\", expect_size=\"46517248\"] \n  3 -> 5 [size =\"46517248\"]\n  3 -> 6 [size =\"46517248\"]\n  4 [size=\"84387840\", alpha=\"0.15\", expect_size=\"42193920\"] \n  4 -> 7 [size =\"42193920\"]\n  5 [size=\"77719552\", alpha=\"0.10\", expect_size=\"38859776\"] \n  5 -> 7 [size =\"38859776\"]\n  5 -> 8 [size =\"38859776\"]\n  6 [size=\"89812992\", alpha=\"0.17\", expect_size=\"44906496\"] \n  6 -> 7 [size =\"44906496\"]\n  7 [size=\"68577280\", alpha=\"0.17\", expect_size=\"34288640\"] \n  7 -> 9 [size =\"34288640\"]\n  8 [size=\"15771648\", alpha=\"0.08\", expect_size=\"7885824\"] \n  8 -> 9 [size =\"7885824\"]\n  8 -> 10 [size =\"7885824\"]\n  8 -> 11 [size =\"7885824\"]\n  9 [size=\"49606656\", alpha=\"0.13\", expect_size=\"24803328\"] \n  9 -> 13 [size =\"24803328\"]\n  10 [size=\"92295168\", alpha=\"0.06\", expect_size=\"46147584\"] \n  10 -> 12 [size =\"46147584\"]\n  10 -> 13 [size =\"46147584\"]\n  11 [size=\"48588800\", alpha=\"0.15\", expect_size=\"24294400\"] \n  12 [size=\"89239552\", alpha=\"0.09\", expect_size=\"44619776\"] \n  12 -> 14 [size =\"44619776\"]\n  12 -> 16 [size =\"44619776\"]\n  12 -> 17 [size =\"44619776\"]\n  13 [size=\"45494272\", alpha=\"0.14\", expect_size=\"22747136\"] \n  13 -> 14 [size =\"22747136\"]\n  13 -> 15 [size =\"22747136\"]\n  13 -> 16 [size =\"22747136\"]\n  13 -> 17 [size =\"22747136\"]\n  14 [size=\"31475712\", alpha=\"0.16\", expect_size=\"15737856\"] \n  14 -> 18 [size =\"15737856\"]\n  14 -> 19 [size =\"15737856\"]\n  14 -> 20 [size =\"15737856\"]\n  15 [size=\"100499456\", alpha=\"0.16\", expect_size=\"50249728\"] \n  15 -> 18 [size =\"50249728\"]\n  15 -> 19 [size =\"50249728\"]\n  15 -> 20 [size =\"50249728\"]\n  16 [size=\"53252096\", alpha=\"0.16\", expect_size=\"26626048\"] \n  17 [size=\"38918144\", alpha=\"0.11\", expect_size=\"19459072\"] \n  17 -> 19 [size =\"19459072\"]\n  17 -> 20 [size =\"19459072\"]\n  18 [size=\"23740416\", alpha=\"0.12\", expect_size=\"11870208\"] \n  19 [size=\"63115264\", alpha=\"0.02\", expect_size=\"31557632\"] \n  20 [size=\"28854272\", alpha=\"0.12\", expect_size=\"14427136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82116608\", alpha=\"0.12\", expect_size=\"41058304\"] \n  1 -> 3 [size =\"41058304\"]\n  1 -> 6 [size =\"41058304\"]\n  2 [size=\"67137536\", alpha=\"0.20\", expect_size=\"33568768\"] \n  2 -> 3 [size =\"33568768\"]\n  2 -> 4 [size =\"33568768\"]\n  2 -> 5 [size =\"33568768\"]\n  2 -> 6 [size =\"33568768\"]\n  3 [size=\"42514432\", alpha=\"0.15\", expect_size=\"21257216\"] \n  3 -> 8 [size =\"21257216\"]\n  4 [size=\"83267584\", alpha=\"0.13\", expect_size=\"41633792\"] \n  4 -> 8 [size =\"41633792\"]\n  4 -> 9 [size =\"41633792\"]\n  4 -> 10 [size =\"41633792\"]\n  5 [size=\"21682176\", alpha=\"0.03\", expect_size=\"10841088\"] \n  5 -> 7 [size =\"10841088\"]\n  5 -> 9 [size =\"10841088\"]\n  6 [size=\"67960832\", alpha=\"0.15\", expect_size=\"33980416\"] \n  6 -> 7 [size =\"33980416\"]\n  6 -> 8 [size =\"33980416\"]\n  6 -> 9 [size =\"33980416\"]\n  6 -> 10 [size =\"33980416\"]\n  7 [size=\"39649280\", alpha=\"0.04\", expect_size=\"19824640\"] \n  7 -> 11 [size =\"19824640\"]\n  7 -> 13 [size =\"19824640\"]\n  7 -> 14 [size =\"19824640\"]\n  8 [size=\"79616000\", alpha=\"0.14\", expect_size=\"39808000\"] \n  8 -> 13 [size =\"39808000\"]\n  9 [size=\"72054784\", alpha=\"0.09\", expect_size=\"36027392\"] \n  9 -> 12 [size =\"36027392\"]\n  9 -> 13 [size =\"36027392\"]\n  9 -> 14 [size =\"36027392\"]\n  10 [size=\"55635968\", alpha=\"0.07\", expect_size=\"27817984\"] \n  10 -> 11 [size =\"27817984\"]\n  10 -> 14 [size =\"27817984\"]\n  11 [size=\"63840256\", alpha=\"0.11\", expect_size=\"31920128\"] \n  11 -> 16 [size =\"31920128\"]\n  11 -> 17 [size =\"31920128\"]\n  11 -> 18 [size =\"31920128\"]\n  12 [size=\"25415680\", alpha=\"0.14\", expect_size=\"12707840\"] \n  12 -> 18 [size =\"12707840\"]\n  12 -> 19 [size =\"12707840\"]\n  13 [size=\"24721408\", alpha=\"0.04\", expect_size=\"12360704\"] \n  13 -> 15 [size =\"12360704\"]\n  13 -> 16 [size =\"12360704\"]\n  13 -> 19 [size =\"12360704\"]\n  14 [size=\"96456704\", alpha=\"0.17\", expect_size=\"48228352\"] \n  14 -> 16 [size =\"48228352\"]\n  14 -> 18 [size =\"48228352\"]\n  15 [size=\"62812160\", alpha=\"0.08\", expect_size=\"31406080\"] \n  16 [size=\"75044864\", alpha=\"0.12\", expect_size=\"37522432\"] \n  17 [size=\"49620992\", alpha=\"0.04\", expect_size=\"24810496\"] \n  17 -> 20 [size =\"24810496\"]\n  18 [size=\"66648064\", alpha=\"0.09\", expect_size=\"33324032\"] \n  18 -> 20 [size =\"33324032\"]\n  19 [size=\"37525504\", alpha=\"0.15\", expect_size=\"18762752\"] \n  19 -> 20 [size =\"18762752\"]\n  20 [size=\"79734784\", alpha=\"0.13\", expect_size=\"39867392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54811307\", alpha=\"0.11\", expect_size=\"16443392\"] \n  1 -> 12 [size =\"16443392\"]\n  1 -> 16 [size =\"16443392\"]\n  1 -> 17 [size =\"16443392\"]\n  2 [size=\"172632747\", alpha=\"0.14\", expect_size=\"51789824\"] \n  2 -> 12 [size =\"51789824\"]\n  2 -> 13 [size =\"51789824\"]\n  2 -> 14 [size =\"51789824\"]\n  2 -> 16 [size =\"51789824\"]\n  2 -> 17 [size =\"51789824\"]\n  3 [size=\"60897280\", alpha=\"0.16\", expect_size=\"18269184\"] \n  3 -> 12 [size =\"18269184\"]\n  3 -> 13 [size =\"18269184\"]\n  3 -> 14 [size =\"18269184\"]\n  3 -> 16 [size =\"18269184\"]\n  4 [size=\"119657813\", alpha=\"0.05\", expect_size=\"35897344\"] \n  4 -> 12 [size =\"35897344\"]\n  4 -> 13 [size =\"35897344\"]\n  4 -> 14 [size =\"35897344\"]\n  4 -> 17 [size =\"35897344\"]\n  5 [size=\"48865280\", alpha=\"0.14\", expect_size=\"14659584\"] \n  5 -> 11 [size =\"14659584\"]\n  5 -> 12 [size =\"14659584\"]\n  5 -> 14 [size =\"14659584\"]\n  5 -> 15 [size =\"14659584\"]\n  5 -> 17 [size =\"14659584\"]\n  6 [size=\"98621440\", alpha=\"0.16\", expect_size=\"29586432\"] \n  6 -> 12 [size =\"29586432\"]\n  6 -> 13 [size =\"29586432\"]\n  6 -> 14 [size =\"29586432\"]\n  6 -> 15 [size =\"29586432\"]\n  6 -> 17 [size =\"29586432\"]\n  7 [size=\"132352000\", alpha=\"0.10\", expect_size=\"39705600\"] \n  7 -> 10 [size =\"39705600\"]\n  7 -> 13 [size =\"39705600\"]\n  7 -> 14 [size =\"39705600\"]\n  7 -> 16 [size =\"39705600\"]\n  7 -> 17 [size =\"39705600\"]\n  8 [size=\"62057813\", alpha=\"0.02\", expect_size=\"18617344\"] \n  8 -> 12 [size =\"18617344\"]\n  8 -> 14 [size =\"18617344\"]\n  8 -> 14 [size =\"18617344\"]\n  8 -> 16 [size =\"18617344\"]\n  8 -> 17 [size =\"18617344\"]\n  9 [size=\"39731200\", alpha=\"0.07\", expect_size=\"11919360\"] \n  9 -> 12 [size =\"11919360\"]\n  9 -> 16 [size =\"11919360\"]\n  9 -> 17 [size =\"11919360\"]\n  10 [size=\"159911253\", alpha=\"0.18\", expect_size=\"47973376\"] \n  10 -> 18 [size =\"47973376\"]\n  10 -> 20 [size =\"47973376\"]\n  11 [size=\"149674667\", alpha=\"0.04\", expect_size=\"44902400\"] \n  11 -> 18 [size =\"44902400\"]\n  11 -> 20 [size =\"44902400\"]\n  12 [size=\"76195840\", alpha=\"0.00\", expect_size=\"22858752\"] \n  12 -> 18 [size =\"22858752\"]\n  12 -> 20 [size =\"22858752\"]\n  13 [size=\"30392320\", alpha=\"0.03\", expect_size=\"9117696\"] \n  13 -> 18 [size =\"9117696\"]\n  13 -> 19 [size =\"9117696\"]\n  13 -> 20 [size =\"9117696\"]\n  14 [size=\"159723520\", alpha=\"0.15\", expect_size=\"47917056\"] \n  14 -> 18 [size =\"47917056\"]\n  14 -> 19 [size =\"47917056\"]\n  15 [size=\"41792853\", alpha=\"0.16\", expect_size=\"12537856\"] \n  15 -> 18 [size =\"12537856\"]\n  15 -> 19 [size =\"12537856\"]\n  15 -> 20 [size =\"12537856\"]\n  16 [size=\"148766720\", alpha=\"0.03\", expect_size=\"44630016\"] \n  16 -> 18 [size =\"44630016\"]\n  16 -> 19 [size =\"44630016\"]\n  17 [size=\"114780160\", alpha=\"0.16\", expect_size=\"34434048\"] \n  17 -> 18 [size =\"34434048\"]\n  17 -> 19 [size =\"34434048\"]\n  18 [size=\"33652053\", alpha=\"0.07\", expect_size=\"10095616\"] \n  19 [size=\"51493547\", alpha=\"0.16\", expect_size=\"15448064\"] \n  20 [size=\"104205653\", alpha=\"0.01\", expect_size=\"31261696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52379648\", alpha=\"0.05\", expect_size=\"26189824\"] \n  1 -> 3 [size =\"26189824\"]\n  2 [size=\"20774912\", alpha=\"0.04\", expect_size=\"10387456\"] \n  2 -> 3 [size =\"10387456\"]\n  3 [size=\"47380480\", alpha=\"0.18\", expect_size=\"23690240\"] \n  3 -> 4 [size =\"23690240\"]\n  3 -> 5 [size =\"23690240\"]\n  4 [size=\"41213952\", alpha=\"0.14\", expect_size=\"20606976\"] \n  4 -> 6 [size =\"20606976\"]\n  5 [size=\"79126528\", alpha=\"0.00\", expect_size=\"39563264\"] \n  5 -> 7 [size =\"39563264\"]\n  6 [size=\"59072512\", alpha=\"0.19\", expect_size=\"29536256\"] \n  6 -> 8 [size =\"29536256\"]\n  6 -> 9 [size =\"29536256\"]\n  7 [size=\"68741120\", alpha=\"0.07\", expect_size=\"34370560\"] \n  7 -> 8 [size =\"34370560\"]\n  7 -> 9 [size =\"34370560\"]\n  8 [size=\"25061376\", alpha=\"0.00\", expect_size=\"12530688\"] \n  9 [size=\"69513216\", alpha=\"0.08\", expect_size=\"34756608\"] \n  9 -> 10 [size =\"34756608\"]\n  10 [size=\"52137984\", alpha=\"0.02\", expect_size=\"26068992\"] \n  10 -> 11 [size =\"26068992\"]\n  10 -> 12 [size =\"26068992\"]\n  11 [size=\"18325504\", alpha=\"0.15\", expect_size=\"9162752\"] \n  12 [size=\"39886848\", alpha=\"0.13\", expect_size=\"19943424\"] \n  12 -> 13 [size =\"19943424\"]\n  13 [size=\"59047936\", alpha=\"0.17\", expect_size=\"29523968\"] \n  13 -> 14 [size =\"29523968\"]\n  13 -> 15 [size =\"29523968\"]\n  14 [size=\"51703808\", alpha=\"0.18\", expect_size=\"25851904\"] \n  14 -> 16 [size =\"25851904\"]\n  14 -> 17 [size =\"25851904\"]\n  15 [size=\"25176064\", alpha=\"0.18\", expect_size=\"12588032\"] \n  15 -> 16 [size =\"12588032\"]\n  15 -> 17 [size =\"12588032\"]\n  16 [size=\"27455488\", alpha=\"0.10\", expect_size=\"13727744\"] \n  16 -> 18 [size =\"13727744\"]\n  17 [size=\"22958080\", alpha=\"0.12\", expect_size=\"11479040\"] \n  17 -> 18 [size =\"11479040\"]\n  17 -> 19 [size =\"11479040\"]\n  18 [size=\"57075712\", alpha=\"0.12\", expect_size=\"28537856\"] \n  18 -> 20 [size =\"28537856\"]\n  19 [size=\"58775552\", alpha=\"0.06\", expect_size=\"29387776\"] \n  20 [size=\"96970752\", alpha=\"0.19\", expect_size=\"48485376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97313280\", alpha=\"0.14\", expect_size=\"38925312\"] \n  1 -> 12 [size =\"38925312\"]\n  1 -> 12 [size =\"38925312\"]\n  1 -> 13 [size =\"38925312\"]\n  1 -> 15 [size =\"38925312\"]\n  1 -> 16 [size =\"38925312\"]\n  1 -> 17 [size =\"38925312\"]\n  2 [size=\"87101440\", alpha=\"0.03\", expect_size=\"34840576\"] \n  2 -> 15 [size =\"34840576\"]\n  2 -> 16 [size =\"34840576\"]\n  2 -> 17 [size =\"34840576\"]\n  3 [size=\"78679040\", alpha=\"0.04\", expect_size=\"31471616\"] \n  4 [size=\"118673920\", alpha=\"0.15\", expect_size=\"47469568\"] \n  4 -> 10 [size =\"47469568\"]\n  4 -> 13 [size =\"47469568\"]\n  4 -> 18 [size =\"47469568\"]\n  5 [size=\"26941440\", alpha=\"0.13\", expect_size=\"10776576\"] \n  5 -> 10 [size =\"10776576\"]\n  5 -> 12 [size =\"10776576\"]\n  5 -> 16 [size =\"10776576\"]\n  5 -> 17 [size =\"10776576\"]\n  5 -> 18 [size =\"10776576\"]\n  6 [size=\"121210880\", alpha=\"0.07\", expect_size=\"48484352\"] \n  6 -> 15 [size =\"48484352\"]\n  6 -> 16 [size =\"48484352\"]\n  6 -> 17 [size =\"48484352\"]\n  7 [size=\"130979840\", alpha=\"0.07\", expect_size=\"52391936\"] \n  7 -> 11 [size =\"52391936\"]\n  7 -> 13 [size =\"52391936\"]\n  7 -> 15 [size =\"52391936\"]\n  7 -> 16 [size =\"52391936\"]\n  7 -> 17 [size =\"52391936\"]\n  8 [size=\"75655680\", alpha=\"0.03\", expect_size=\"30262272\"] \n  8 -> 11 [size =\"30262272\"]\n  8 -> 15 [size =\"30262272\"]\n  8 -> 16 [size =\"30262272\"]\n  8 -> 17 [size =\"30262272\"]\n  9 [size=\"48919040\", alpha=\"0.15\", expect_size=\"19567616\"] \n  9 -> 10 [size =\"19567616\"]\n  9 -> 12 [size =\"19567616\"]\n  9 -> 14 [size =\"19567616\"]\n  9 -> 15 [size =\"19567616\"]\n  10 [size=\"75210240\", alpha=\"0.13\", expect_size=\"30084096\"] \n  10 -> 19 [size =\"30084096\"]\n  11 [size=\"125880320\", alpha=\"0.15\", expect_size=\"50352128\"] \n  11 -> 19 [size =\"50352128\"]\n  11 -> 20 [size =\"50352128\"]\n  12 [size=\"89702400\", alpha=\"0.20\", expect_size=\"35880960\"] \n  12 -> 19 [size =\"35880960\"]\n  12 -> 20 [size =\"35880960\"]\n  13 [size=\"108341760\", alpha=\"0.17\", expect_size=\"43336704\"] \n  13 -> 19 [size =\"43336704\"]\n  13 -> 20 [size =\"43336704\"]\n  14 [size=\"16568320\", alpha=\"0.16\", expect_size=\"6627328\"] \n  14 -> 19 [size =\"6627328\"]\n  14 -> 20 [size =\"6627328\"]\n  15 [size=\"104110080\", alpha=\"0.12\", expect_size=\"41644032\"] \n  15 -> 19 [size =\"41644032\"]\n  15 -> 20 [size =\"41644032\"]\n  16 [size=\"64552960\", alpha=\"0.17\", expect_size=\"25821184\"] \n  17 [size=\"106570240\", alpha=\"0.01\", expect_size=\"42628096\"] \n  17 -> 20 [size =\"42628096\"]\n  18 [size=\"28357120\", alpha=\"0.17\", expect_size=\"11342848\"] \n  18 -> 20 [size =\"11342848\"]\n  19 [size=\"45844480\", alpha=\"0.07\", expect_size=\"18337792\"] \n  20 [size=\"15260160\", alpha=\"0.13\", expect_size=\"6104064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162583893\", alpha=\"0.18\", expect_size=\"48775168\"] \n  2 [size=\"34044587\", alpha=\"0.09\", expect_size=\"10213376\"] \n  2 -> 6 [size =\"10213376\"]\n  3 [size=\"134458027\", alpha=\"0.14\", expect_size=\"40337408\"] \n  3 -> 5 [size =\"40337408\"]\n  3 -> 7 [size =\"40337408\"]\n  4 [size=\"21401600\", alpha=\"0.04\", expect_size=\"6420480\"] \n  4 -> 6 [size =\"6420480\"]\n  4 -> 8 [size =\"6420480\"]\n  5 [size=\"60477440\", alpha=\"0.01\", expect_size=\"18143232\"] \n  5 -> 9 [size =\"18143232\"]\n  6 [size=\"84971520\", alpha=\"0.09\", expect_size=\"25491456\"] \n  6 -> 10 [size =\"25491456\"]\n  7 [size=\"124484267\", alpha=\"0.19\", expect_size=\"37345280\"] \n  7 -> 11 [size =\"37345280\"]\n  8 [size=\"158713173\", alpha=\"0.11\", expect_size=\"47613952\"] \n  8 -> 12 [size =\"47613952\"]\n  9 [size=\"149469867\", alpha=\"0.06\", expect_size=\"44840960\"] \n  9 -> 13 [size =\"44840960\"]\n  9 -> 14 [size =\"44840960\"]\n  10 [size=\"92764160\", alpha=\"0.16\", expect_size=\"27829248\"] \n  11 [size=\"157067947\", alpha=\"0.06\", expect_size=\"47120384\"] \n  11 -> 14 [size =\"47120384\"]\n  12 [size=\"144800427\", alpha=\"0.19\", expect_size=\"43440128\"] \n  12 -> 13 [size =\"43440128\"]\n  13 [size=\"59764053\", alpha=\"0.05\", expect_size=\"17929216\"] \n  13 -> 15 [size =\"17929216\"]\n  13 -> 18 [size =\"17929216\"]\n  14 [size=\"170492587\", alpha=\"0.10\", expect_size=\"51147776\"] \n  14 -> 16 [size =\"51147776\"]\n  14 -> 17 [size =\"51147776\"]\n  15 [size=\"48124587\", alpha=\"0.20\", expect_size=\"14437376\"] \n  16 [size=\"56787627\", alpha=\"0.09\", expect_size=\"17036288\"] \n  16 -> 19 [size =\"17036288\"]\n  16 -> 20 [size =\"17036288\"]\n  17 [size=\"127040853\", alpha=\"0.08\", expect_size=\"38112256\"] \n  17 -> 20 [size =\"38112256\"]\n  18 [size=\"115401387\", alpha=\"0.13\", expect_size=\"34620416\"] \n  19 [size=\"45977600\", alpha=\"0.14\", expect_size=\"13793280\"] \n  20 [size=\"91521707\", alpha=\"0.14\", expect_size=\"27456512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29622272\", alpha=\"0.07\", expect_size=\"14811136\"] \n  1 -> 2 [size =\"14811136\"]\n  2 [size=\"75868160\", alpha=\"0.08\", expect_size=\"37934080\"] \n  2 -> 3 [size =\"37934080\"]\n  3 [size=\"90757120\", alpha=\"0.10\", expect_size=\"45378560\"] \n  3 -> 4 [size =\"45378560\"]\n  4 [size=\"75857920\", alpha=\"0.08\", expect_size=\"37928960\"] \n  4 -> 5 [size =\"37928960\"]\n  5 [size=\"81405952\", alpha=\"0.11\", expect_size=\"40702976\"] \n  5 -> 6 [size =\"40702976\"]\n  6 [size=\"70975488\", alpha=\"0.14\", expect_size=\"35487744\"] \n  6 -> 7 [size =\"35487744\"]\n  7 [size=\"76947456\", alpha=\"0.10\", expect_size=\"38473728\"] \n  7 -> 8 [size =\"38473728\"]\n  8 [size=\"49700864\", alpha=\"0.11\", expect_size=\"24850432\"] \n  8 -> 9 [size =\"24850432\"]\n  9 [size=\"86568960\", alpha=\"0.10\", expect_size=\"43284480\"] \n  9 -> 10 [size =\"43284480\"]\n  10 [size=\"48539648\", alpha=\"0.13\", expect_size=\"24269824\"] \n  10 -> 11 [size =\"24269824\"]\n  11 [size=\"32333824\", alpha=\"0.14\", expect_size=\"16166912\"] \n  11 -> 12 [size =\"16166912\"]\n  12 [size=\"66842624\", alpha=\"0.16\", expect_size=\"33421312\"] \n  12 -> 13 [size =\"33421312\"]\n  13 [size=\"10680320\", alpha=\"0.12\", expect_size=\"5340160\"] \n  13 -> 14 [size =\"5340160\"]\n  14 [size=\"55662592\", alpha=\"0.04\", expect_size=\"27831296\"] \n  14 -> 15 [size =\"27831296\"]\n  15 [size=\"95068160\", alpha=\"0.10\", expect_size=\"47534080\"] \n  15 -> 16 [size =\"47534080\"]\n  16 [size=\"54421504\", alpha=\"0.03\", expect_size=\"27210752\"] \n  16 -> 17 [size =\"27210752\"]\n  17 [size=\"27461632\", alpha=\"0.07\", expect_size=\"13730816\"] \n  17 -> 18 [size =\"13730816\"]\n  18 [size=\"73646080\", alpha=\"0.07\", expect_size=\"36823040\"] \n  18 -> 19 [size =\"36823040\"]\n  19 [size=\"29868032\", alpha=\"0.11\", expect_size=\"14934016\"] \n  19 -> 20 [size =\"14934016\"]\n  20 [size=\"75227136\", alpha=\"0.19\", expect_size=\"37613568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115970560\", alpha=\"0.13\", expect_size=\"46388224\"] \n  1 -> 4 [size =\"46388224\"]\n  1 -> 5 [size =\"46388224\"]\n  2 [size=\"125235200\", alpha=\"0.12\", expect_size=\"50094080\"] \n  2 -> 4 [size =\"50094080\"]\n  2 -> 5 [size =\"50094080\"]\n  2 -> 7 [size =\"50094080\"]\n  3 [size=\"55211520\", alpha=\"0.14\", expect_size=\"22084608\"] \n  3 -> 5 [size =\"22084608\"]\n  3 -> 6 [size =\"22084608\"]\n  4 [size=\"57134080\", alpha=\"0.16\", expect_size=\"22853632\"] \n  5 [size=\"19991040\", alpha=\"0.17\", expect_size=\"7996416\"] \n  6 [size=\"91087360\", alpha=\"0.19\", expect_size=\"36434944\"] \n  6 -> 8 [size =\"36434944\"]\n  7 [size=\"85923840\", alpha=\"0.06\", expect_size=\"34369536\"] \n  7 -> 9 [size =\"34369536\"]\n  7 -> 10 [size =\"34369536\"]\n  8 [size=\"96010240\", alpha=\"0.07\", expect_size=\"38404096\"] \n  8 -> 11 [size =\"38404096\"]\n  8 -> 13 [size =\"38404096\"]\n  8 -> 14 [size =\"38404096\"]\n  9 [size=\"52193280\", alpha=\"0.05\", expect_size=\"20877312\"] \n  9 -> 11 [size =\"20877312\"]\n  9 -> 12 [size =\"20877312\"]\n  10 [size=\"94223360\", alpha=\"0.20\", expect_size=\"37689344\"] \n  10 -> 11 [size =\"37689344\"]\n  10 -> 12 [size =\"37689344\"]\n  11 [size=\"129582080\", alpha=\"0.03\", expect_size=\"51832832\"] \n  11 -> 15 [size =\"51832832\"]\n  11 -> 16 [size =\"51832832\"]\n  12 [size=\"88678400\", alpha=\"0.08\", expect_size=\"35471360\"] \n  12 -> 15 [size =\"35471360\"]\n  12 -> 16 [size =\"35471360\"]\n  12 -> 17 [size =\"35471360\"]\n  12 -> 18 [size =\"35471360\"]\n  13 [size=\"43637760\", alpha=\"0.08\", expect_size=\"17455104\"] \n  13 -> 15 [size =\"17455104\"]\n  13 -> 17 [size =\"17455104\"]\n  13 -> 17 [size =\"17455104\"]\n  13 -> 18 [size =\"17455104\"]\n  14 [size=\"124328960\", alpha=\"0.07\", expect_size=\"49731584\"] \n  15 [size=\"100195840\", alpha=\"0.11\", expect_size=\"40078336\"] \n  15 -> 20 [size =\"40078336\"]\n  16 [size=\"84170240\", alpha=\"0.16\", expect_size=\"33668096\"] \n  16 -> 20 [size =\"33668096\"]\n  17 [size=\"78809600\", alpha=\"0.14\", expect_size=\"31523840\"] \n  17 -> 19 [size =\"31523840\"]\n  18 [size=\"113364480\", alpha=\"0.17\", expect_size=\"45345792\"] \n  18 -> 20 [size =\"45345792\"]\n  19 [size=\"36331520\", alpha=\"0.04\", expect_size=\"14532608\"] \n  20 [size=\"64197120\", alpha=\"0.07\", expect_size=\"25678848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66547712\", alpha=\"0.05\", expect_size=\"33273856\"] \n  1 -> 5 [size =\"33273856\"]\n  1 -> 6 [size =\"33273856\"]\n  1 -> 7 [size =\"33273856\"]\n  2 [size=\"21790720\", alpha=\"0.19\", expect_size=\"10895360\"] \n  3 [size=\"25530368\", alpha=\"0.03\", expect_size=\"12765184\"] \n  3 -> 4 [size =\"12765184\"]\n  4 [size=\"85256192\", alpha=\"0.17\", expect_size=\"42628096\"] \n  4 -> 11 [size =\"42628096\"]\n  5 [size=\"99631104\", alpha=\"0.10\", expect_size=\"49815552\"] \n  5 -> 8 [size =\"49815552\"]\n  5 -> 9 [size =\"49815552\"]\n  5 -> 11 [size =\"49815552\"]\n  6 [size=\"35903488\", alpha=\"0.04\", expect_size=\"17951744\"] \n  6 -> 10 [size =\"17951744\"]\n  7 [size=\"17688576\", alpha=\"0.14\", expect_size=\"8844288\"] \n  7 -> 12 [size =\"8844288\"]\n  8 [size=\"19326976\", alpha=\"0.20\", expect_size=\"9663488\"] \n  8 -> 13 [size =\"9663488\"]\n  8 -> 14 [size =\"9663488\"]\n  8 -> 15 [size =\"9663488\"]\n  9 [size=\"63651840\", alpha=\"0.14\", expect_size=\"31825920\"] \n  9 -> 14 [size =\"31825920\"]\n  10 [size=\"60039168\", alpha=\"0.17\", expect_size=\"30019584\"] \n  11 [size=\"35655680\", alpha=\"0.12\", expect_size=\"17827840\"] \n  11 -> 14 [size =\"17827840\"]\n  12 [size=\"60628992\", alpha=\"0.17\", expect_size=\"30314496\"] \n  12 -> 15 [size =\"30314496\"]\n  13 [size=\"55214080\", alpha=\"0.09\", expect_size=\"27607040\"] \n  13 -> 18 [size =\"27607040\"]\n  14 [size=\"71084032\", alpha=\"0.06\", expect_size=\"35542016\"] \n  14 -> 17 [size =\"35542016\"]\n  14 -> 18 [size =\"35542016\"]\n  15 [size=\"54591488\", alpha=\"0.15\", expect_size=\"27295744\"] \n  15 -> 16 [size =\"27295744\"]\n  15 -> 17 [size =\"27295744\"]\n  15 -> 18 [size =\"27295744\"]\n  16 [size=\"102778880\", alpha=\"0.19\", expect_size=\"51389440\"] \n  16 -> 20 [size =\"51389440\"]\n  17 [size=\"27195392\", alpha=\"0.16\", expect_size=\"13597696\"] \n  17 -> 19 [size =\"13597696\"]\n  18 [size=\"94711808\", alpha=\"0.13\", expect_size=\"47355904\"] \n  18 -> 20 [size =\"47355904\"]\n  19 [size=\"92676096\", alpha=\"0.18\", expect_size=\"46338048\"] \n  20 [size=\"63873024\", alpha=\"0.12\", expect_size=\"31936512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69454507\", alpha=\"0.16\", expect_size=\"20836352\"] \n  1 -> 5 [size =\"20836352\"]\n  1 -> 6 [size =\"20836352\"]\n  2 [size=\"137721173\", alpha=\"0.19\", expect_size=\"41316352\"] \n  2 -> 3 [size =\"41316352\"]\n  2 -> 4 [size =\"41316352\"]\n  2 -> 5 [size =\"41316352\"]\n  3 [size=\"127102293\", alpha=\"0.14\", expect_size=\"38130688\"] \n  3 -> 8 [size =\"38130688\"]\n  4 [size=\"46028800\", alpha=\"0.06\", expect_size=\"13808640\"] \n  5 [size=\"142247253\", alpha=\"0.17\", expect_size=\"42674176\"] \n  5 -> 7 [size =\"42674176\"]\n  6 [size=\"29341013\", alpha=\"0.10\", expect_size=\"8802304\"] \n  6 -> 8 [size =\"8802304\"]\n  7 [size=\"138956800\", alpha=\"0.09\", expect_size=\"41687040\"] \n  7 -> 9 [size =\"41687040\"]\n  8 [size=\"20930560\", alpha=\"0.05\", expect_size=\"6279168\"] \n  8 -> 9 [size =\"6279168\"]\n  8 -> 10 [size =\"6279168\"]\n  9 [size=\"34979840\", alpha=\"0.06\", expect_size=\"10493952\"] \n  9 -> 11 [size =\"10493952\"]\n  9 -> 13 [size =\"10493952\"]\n  10 [size=\"46025387\", alpha=\"0.20\", expect_size=\"13807616\"] \n  10 -> 11 [size =\"13807616\"]\n  10 -> 12 [size =\"13807616\"]\n  10 -> 13 [size =\"13807616\"]\n  11 [size=\"173223253\", alpha=\"0.07\", expect_size=\"51966976\"] \n  11 -> 17 [size =\"51966976\"]\n  12 [size=\"138666667\", alpha=\"0.12\", expect_size=\"41600000\"] \n  12 -> 14 [size =\"41600000\"]\n  12 -> 16 [size =\"41600000\"]\n  13 [size=\"131027627\", alpha=\"0.15\", expect_size=\"39308288\"] \n  13 -> 15 [size =\"39308288\"]\n  14 [size=\"83657387\", alpha=\"0.12\", expect_size=\"25097216\"] \n  15 [size=\"133321387\", alpha=\"0.04\", expect_size=\"39996416\"] \n  15 -> 20 [size =\"39996416\"]\n  16 [size=\"111202987\", alpha=\"0.13\", expect_size=\"33360896\"] \n  16 -> 19 [size =\"33360896\"]\n  16 -> 20 [size =\"33360896\"]\n  17 [size=\"34641920\", alpha=\"0.05\", expect_size=\"10392576\"] \n  17 -> 18 [size =\"10392576\"]\n  18 [size=\"106625707\", alpha=\"0.06\", expect_size=\"31987712\"] \n  19 [size=\"147927040\", alpha=\"0.18\", expect_size=\"44378112\"] \n  20 [size=\"41359360\", alpha=\"0.00\", expect_size=\"12407808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97651200\", alpha=\"0.03\", expect_size=\"39060480\"] \n  1 -> 12 [size =\"39060480\"]\n  1 -> 16 [size =\"39060480\"]\n  2 [size=\"76608000\", alpha=\"0.10\", expect_size=\"30643200\"] \n  2 -> 13 [size =\"30643200\"]\n  3 [size=\"126215680\", alpha=\"0.02\", expect_size=\"50486272\"] \n  3 -> 11 [size =\"50486272\"]\n  3 -> 16 [size =\"50486272\"]\n  4 [size=\"44390400\", alpha=\"0.13\", expect_size=\"17756160\"] \n  4 -> 13 [size =\"17756160\"]\n  4 -> 15 [size =\"17756160\"]\n  5 [size=\"28638720\", alpha=\"0.08\", expect_size=\"11455488\"] \n  5 -> 15 [size =\"11455488\"]\n  6 [size=\"97902080\", alpha=\"0.16\", expect_size=\"39160832\"] \n  6 -> 12 [size =\"39160832\"]\n  6 -> 13 [size =\"39160832\"]\n  6 -> 14 [size =\"39160832\"]\n  7 [size=\"129671680\", alpha=\"0.14\", expect_size=\"51868672\"] \n  7 -> 11 [size =\"51868672\"]\n  7 -> 12 [size =\"51868672\"]\n  7 -> 13 [size =\"51868672\"]\n  7 -> 14 [size =\"51868672\"]\n  8 [size=\"130739200\", alpha=\"0.01\", expect_size=\"52295680\"] \n  8 -> 12 [size =\"52295680\"]\n  9 [size=\"116776960\", alpha=\"0.15\", expect_size=\"46710784\"] \n  9 -> 11 [size =\"46710784\"]\n  9 -> 13 [size =\"46710784\"]\n  9 -> 15 [size =\"46710784\"]\n  10 [size=\"16796160\", alpha=\"0.02\", expect_size=\"6718464\"] \n  10 -> 12 [size =\"6718464\"]\n  10 -> 15 [size =\"6718464\"]\n  11 [size=\"96179200\", alpha=\"0.09\", expect_size=\"38471680\"] \n  12 [size=\"110999040\", alpha=\"0.18\", expect_size=\"44399616\"] \n  12 -> 17 [size =\"44399616\"]\n  12 -> 20 [size =\"44399616\"]\n  13 [size=\"50529280\", alpha=\"0.14\", expect_size=\"20211712\"] \n  13 -> 20 [size =\"20211712\"]\n  14 [size=\"61271040\", alpha=\"0.00\", expect_size=\"24508416\"] \n  14 -> 17 [size =\"24508416\"]\n  14 -> 19 [size =\"24508416\"]\n  15 [size=\"18265600\", alpha=\"0.01\", expect_size=\"7306240\"] \n  15 -> 18 [size =\"7306240\"]\n  15 -> 19 [size =\"7306240\"]\n  16 [size=\"63475200\", alpha=\"0.04\", expect_size=\"25390080\"] \n  16 -> 19 [size =\"25390080\"]\n  17 [size=\"39989760\", alpha=\"0.14\", expect_size=\"15995904\"] \n  18 [size=\"120721920\", alpha=\"0.09\", expect_size=\"48288768\"] \n  19 [size=\"127226880\", alpha=\"0.04\", expect_size=\"50890752\"] \n  20 [size=\"95872000\", alpha=\"0.15\", expect_size=\"38348800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161679360\", alpha=\"0.01\", expect_size=\"48503808\"] \n  1 -> 3 [size =\"48503808\"]\n  1 -> 4 [size =\"48503808\"]\n  2 [size=\"162693120\", alpha=\"0.02\", expect_size=\"48807936\"] \n  3 [size=\"89685333\", alpha=\"0.02\", expect_size=\"26905600\"] \n  3 -> 6 [size =\"26905600\"]\n  4 [size=\"160443733\", alpha=\"0.19\", expect_size=\"48133120\"] \n  4 -> 5 [size =\"48133120\"]\n  5 [size=\"130160640\", alpha=\"0.06\", expect_size=\"39048192\"] \n  5 -> 7 [size =\"39048192\"]\n  6 [size=\"162880853\", alpha=\"0.15\", expect_size=\"48864256\"] \n  6 -> 7 [size =\"48864256\"]\n  6 -> 8 [size =\"48864256\"]\n  7 [size=\"88866133\", alpha=\"0.11\", expect_size=\"26659840\"] \n  7 -> 9 [size =\"26659840\"]\n  8 [size=\"66628267\", alpha=\"0.02\", expect_size=\"19988480\"] \n  8 -> 9 [size =\"19988480\"]\n  9 [size=\"107898880\", alpha=\"0.04\", expect_size=\"32369664\"] \n  9 -> 10 [size =\"32369664\"]\n  9 -> 11 [size =\"32369664\"]\n  10 [size=\"128440320\", alpha=\"0.03\", expect_size=\"38532096\"] \n  10 -> 12 [size =\"38532096\"]\n  11 [size=\"139554133\", alpha=\"0.05\", expect_size=\"41866240\"] \n  11 -> 12 [size =\"41866240\"]\n  12 [size=\"148080640\", alpha=\"0.13\", expect_size=\"44424192\"] \n  12 -> 13 [size =\"44424192\"]\n  13 [size=\"165232640\", alpha=\"0.12\", expect_size=\"49569792\"] \n  13 -> 14 [size =\"49569792\"]\n  14 [size=\"23818240\", alpha=\"0.00\", expect_size=\"7145472\"] \n  14 -> 15 [size =\"7145472\"]\n  15 [size=\"17708373\", alpha=\"0.10\", expect_size=\"5312512\"] \n  15 -> 16 [size =\"5312512\"]\n  15 -> 17 [size =\"5312512\"]\n  16 [size=\"60965547\", alpha=\"0.07\", expect_size=\"18289664\"] \n  16 -> 19 [size =\"18289664\"]\n  17 [size=\"24606720\", alpha=\"0.18\", expect_size=\"7382016\"] \n  17 -> 18 [size =\"7382016\"]\n  17 -> 19 [size =\"7382016\"]\n  18 [size=\"110670507\", alpha=\"0.14\", expect_size=\"33201152\"] \n  18 -> 20 [size =\"33201152\"]\n  19 [size=\"128665600\", alpha=\"0.10\", expect_size=\"38599680\"] \n  20 [size=\"162092373\", alpha=\"0.02\", expect_size=\"48627712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33928533\", alpha=\"0.06\", expect_size=\"10178560\"] \n  1 -> 4 [size =\"10178560\"]\n  2 [size=\"147408213\", alpha=\"0.17\", expect_size=\"44222464\"] \n  2 -> 3 [size =\"44222464\"]\n  2 -> 5 [size =\"44222464\"]\n  2 -> 6 [size =\"44222464\"]\n  3 [size=\"98228907\", alpha=\"0.19\", expect_size=\"29468672\"] \n  4 [size=\"61228373\", alpha=\"0.10\", expect_size=\"18368512\"] \n  4 -> 9 [size =\"18368512\"]\n  5 [size=\"60385280\", alpha=\"0.04\", expect_size=\"18115584\"] \n  5 -> 7 [size =\"18115584\"]\n  5 -> 9 [size =\"18115584\"]\n  6 [size=\"65071787\", alpha=\"0.18\", expect_size=\"19521536\"] \n  6 -> 7 [size =\"19521536\"]\n  6 -> 8 [size =\"19521536\"]\n  7 [size=\"42738347\", alpha=\"0.13\", expect_size=\"12821504\"] \n  7 -> 10 [size =\"12821504\"]\n  7 -> 12 [size =\"12821504\"]\n  8 [size=\"110598827\", alpha=\"0.20\", expect_size=\"33179648\"] \n  8 -> 11 [size =\"33179648\"]\n  8 -> 12 [size =\"33179648\"]\n  9 [size=\"148732587\", alpha=\"0.07\", expect_size=\"44619776\"] \n  9 -> 12 [size =\"44619776\"]\n  10 [size=\"69188267\", alpha=\"0.07\", expect_size=\"20756480\"] \n  10 -> 15 [size =\"20756480\"]\n  10 -> 16 [size =\"20756480\"]\n  11 [size=\"65867093\", alpha=\"0.11\", expect_size=\"19760128\"] \n  12 [size=\"111984640\", alpha=\"0.06\", expect_size=\"33595392\"] \n  12 -> 13 [size =\"33595392\"]\n  12 -> 14 [size =\"33595392\"]\n  12 -> 15 [size =\"33595392\"]\n  13 [size=\"90774187\", alpha=\"0.08\", expect_size=\"27232256\"] \n  14 [size=\"85053440\", alpha=\"0.16\", expect_size=\"25516032\"] \n  14 -> 17 [size =\"25516032\"]\n  14 -> 18 [size =\"25516032\"]\n  15 [size=\"161133227\", alpha=\"0.08\", expect_size=\"48339968\"] \n  15 -> 17 [size =\"48339968\"]\n  15 -> 18 [size =\"48339968\"]\n  16 [size=\"34556587\", alpha=\"0.11\", expect_size=\"10366976\"] \n  16 -> 18 [size =\"10366976\"]\n  17 [size=\"19363840\", alpha=\"0.08\", expect_size=\"5809152\"] \n  17 -> 19 [size =\"5809152\"]\n  17 -> 20 [size =\"5809152\"]\n  18 [size=\"120927573\", alpha=\"0.18\", expect_size=\"36278272\"] \n  18 -> 19 [size =\"36278272\"]\n  18 -> 20 [size =\"36278272\"]\n  19 [size=\"117248000\", alpha=\"0.17\", expect_size=\"35174400\"] \n  20 [size=\"173154987\", alpha=\"0.09\", expect_size=\"51946496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27164160\", alpha=\"0.08\", expect_size=\"10865664\"] \n  1 -> 3 [size =\"10865664\"]\n  1 -> 4 [size =\"10865664\"]\n  2 [size=\"89072640\", alpha=\"0.17\", expect_size=\"35629056\"] \n  2 -> 3 [size =\"35629056\"]\n  2 -> 4 [size =\"35629056\"]\n  3 [size=\"24852480\", alpha=\"0.16\", expect_size=\"9940992\"] \n  3 -> 5 [size =\"9940992\"]\n  3 -> 6 [size =\"9940992\"]\n  4 [size=\"97088000\", alpha=\"0.17\", expect_size=\"38835200\"] \n  4 -> 5 [size =\"38835200\"]\n  5 [size=\"86679040\", alpha=\"0.01\", expect_size=\"34671616\"] \n  5 -> 7 [size =\"34671616\"]\n  6 [size=\"46433280\", alpha=\"0.14\", expect_size=\"18573312\"] \n  7 [size=\"41751040\", alpha=\"0.14\", expect_size=\"16700416\"] \n  7 -> 8 [size =\"16700416\"]\n  7 -> 9 [size =\"16700416\"]\n  8 [size=\"57784320\", alpha=\"0.03\", expect_size=\"23113728\"] \n  8 -> 10 [size =\"23113728\"]\n  9 [size=\"22717440\", alpha=\"0.19\", expect_size=\"9086976\"] \n  9 -> 10 [size =\"9086976\"]\n  10 [size=\"77552640\", alpha=\"0.01\", expect_size=\"31021056\"] \n  10 -> 11 [size =\"31021056\"]\n  10 -> 12 [size =\"31021056\"]\n  11 [size=\"38699520\", alpha=\"0.02\", expect_size=\"15479808\"] \n  11 -> 13 [size =\"15479808\"]\n  12 [size=\"84298240\", alpha=\"0.01\", expect_size=\"33719296\"] \n  13 [size=\"69527040\", alpha=\"0.06\", expect_size=\"27810816\"] \n  13 -> 14 [size =\"27810816\"]\n  13 -> 15 [size =\"27810816\"]\n  14 [size=\"47060480\", alpha=\"0.14\", expect_size=\"18824192\"] \n  14 -> 16 [size =\"18824192\"]\n  15 [size=\"31713280\", alpha=\"0.00\", expect_size=\"12685312\"] \n  15 -> 16 [size =\"12685312\"]\n  16 [size=\"37107200\", alpha=\"0.02\", expect_size=\"14842880\"] \n  16 -> 17 [size =\"14842880\"]\n  17 [size=\"122001920\", alpha=\"0.01\", expect_size=\"48800768\"] \n  17 -> 18 [size =\"48800768\"]\n  18 [size=\"87339520\", alpha=\"0.19\", expect_size=\"34935808\"] \n  18 -> 19 [size =\"34935808\"]\n  18 -> 20 [size =\"34935808\"]\n  19 [size=\"105487360\", alpha=\"0.02\", expect_size=\"42194944\"] \n  20 [size=\"102021120\", alpha=\"0.11\", expect_size=\"40808448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50368512\", alpha=\"0.19\", expect_size=\"25184256\"] \n  1 -> 4 [size =\"25184256\"]\n  1 -> 6 [size =\"25184256\"]\n  2 [size=\"70084608\", alpha=\"0.18\", expect_size=\"35042304\"] \n  2 -> 4 [size =\"35042304\"]\n  2 -> 7 [size =\"35042304\"]\n  3 [size=\"102029312\", alpha=\"0.11\", expect_size=\"51014656\"] \n  3 -> 5 [size =\"51014656\"]\n  3 -> 7 [size =\"51014656\"]\n  4 [size=\"38977536\", alpha=\"0.10\", expect_size=\"19488768\"] \n  4 -> 8 [size =\"19488768\"]\n  4 -> 10 [size =\"19488768\"]\n  4 -> 10 [size =\"19488768\"]\n  5 [size=\"34705408\", alpha=\"0.17\", expect_size=\"17352704\"] \n  5 -> 8 [size =\"17352704\"]\n  5 -> 11 [size =\"17352704\"]\n  6 [size=\"49424384\", alpha=\"0.03\", expect_size=\"24712192\"] \n  6 -> 8 [size =\"24712192\"]\n  6 -> 9 [size =\"24712192\"]\n  6 -> 10 [size =\"24712192\"]\n  7 [size=\"40945664\", alpha=\"0.04\", expect_size=\"20472832\"] \n  7 -> 8 [size =\"20472832\"]\n  7 -> 9 [size =\"20472832\"]\n  7 -> 10 [size =\"20472832\"]\n  8 [size=\"51003392\", alpha=\"0.05\", expect_size=\"25501696\"] \n  8 -> 12 [size =\"25501696\"]\n  9 [size=\"52303872\", alpha=\"0.18\", expect_size=\"26151936\"] \n  9 -> 12 [size =\"26151936\"]\n  9 -> 13 [size =\"26151936\"]\n  10 [size=\"13651968\", alpha=\"0.05\", expect_size=\"6825984\"] \n  10 -> 12 [size =\"6825984\"]\n  10 -> 14 [size =\"6825984\"]\n  11 [size=\"97439744\", alpha=\"0.00\", expect_size=\"48719872\"] \n  11 -> 12 [size =\"48719872\"]\n  11 -> 13 [size =\"48719872\"]\n  11 -> 14 [size =\"48719872\"]\n  12 [size=\"90472448\", alpha=\"0.18\", expect_size=\"45236224\"] \n  12 -> 15 [size =\"45236224\"]\n  13 [size=\"79167488\", alpha=\"0.12\", expect_size=\"39583744\"] \n  13 -> 15 [size =\"39583744\"]\n  13 -> 16 [size =\"39583744\"]\n  13 -> 17 [size =\"39583744\"]\n  14 [size=\"37756928\", alpha=\"0.12\", expect_size=\"18878464\"] \n  14 -> 15 [size =\"18878464\"]\n  14 -> 16 [size =\"18878464\"]\n  14 -> 17 [size =\"18878464\"]\n  15 [size=\"83910656\", alpha=\"0.01\", expect_size=\"41955328\"] \n  15 -> 18 [size =\"41955328\"]\n  15 -> 19 [size =\"41955328\"]\n  16 [size=\"71649280\", alpha=\"0.03\", expect_size=\"35824640\"] \n  16 -> 18 [size =\"35824640\"]\n  16 -> 19 [size =\"35824640\"]\n  16 -> 20 [size =\"35824640\"]\n  17 [size=\"85039104\", alpha=\"0.05\", expect_size=\"42519552\"] \n  17 -> 19 [size =\"42519552\"]\n  18 [size=\"11411456\", alpha=\"0.04\", expect_size=\"5705728\"] \n  19 [size=\"33032192\", alpha=\"0.07\", expect_size=\"16516096\"] \n  20 [size=\"23521280\", alpha=\"0.15\", expect_size=\"11760640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57364480\", alpha=\"0.01\", expect_size=\"28682240\"] \n  1 -> 2 [size =\"28682240\"]\n  2 [size=\"17491968\", alpha=\"0.15\", expect_size=\"8745984\"] \n  2 -> 3 [size =\"8745984\"]\n  3 [size=\"16308224\", alpha=\"0.03\", expect_size=\"8154112\"] \n  3 -> 4 [size =\"8154112\"]\n  4 [size=\"91721728\", alpha=\"0.14\", expect_size=\"45860864\"] \n  4 -> 5 [size =\"45860864\"]\n  5 [size=\"66002944\", alpha=\"0.11\", expect_size=\"33001472\"] \n  5 -> 6 [size =\"33001472\"]\n  6 [size=\"14110720\", alpha=\"0.08\", expect_size=\"7055360\"] \n  6 -> 7 [size =\"7055360\"]\n  7 [size=\"46669824\", alpha=\"0.12\", expect_size=\"23334912\"] \n  7 -> 8 [size =\"23334912\"]\n  8 [size=\"82221056\", alpha=\"0.06\", expect_size=\"41110528\"] \n  8 -> 9 [size =\"41110528\"]\n  9 [size=\"86712320\", alpha=\"0.06\", expect_size=\"43356160\"] \n  9 -> 10 [size =\"43356160\"]\n  10 [size=\"52051968\", alpha=\"0.02\", expect_size=\"26025984\"] \n  10 -> 11 [size =\"26025984\"]\n  11 [size=\"14133248\", alpha=\"0.04\", expect_size=\"7066624\"] \n  11 -> 12 [size =\"7066624\"]\n  12 [size=\"20940800\", alpha=\"0.14\", expect_size=\"10470400\"] \n  12 -> 13 [size =\"10470400\"]\n  13 [size=\"90566656\", alpha=\"0.17\", expect_size=\"45283328\"] \n  13 -> 14 [size =\"45283328\"]\n  14 [size=\"10766336\", alpha=\"0.02\", expect_size=\"5383168\"] \n  14 -> 15 [size =\"5383168\"]\n  15 [size=\"76713984\", alpha=\"0.17\", expect_size=\"38356992\"] \n  15 -> 16 [size =\"38356992\"]\n  16 [size=\"33957888\", alpha=\"0.05\", expect_size=\"16978944\"] \n  16 -> 17 [size =\"16978944\"]\n  17 [size=\"70696960\", alpha=\"0.09\", expect_size=\"35348480\"] \n  17 -> 18 [size =\"35348480\"]\n  18 [size=\"33554432\", alpha=\"0.03\", expect_size=\"16777216\"] \n  18 -> 19 [size =\"16777216\"]\n  19 [size=\"61351936\", alpha=\"0.12\", expect_size=\"30675968\"] \n  19 -> 20 [size =\"30675968\"]\n  20 [size=\"91584512\", alpha=\"0.14\", expect_size=\"45792256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40072533\", alpha=\"0.01\", expect_size=\"12021760\"] \n  1 -> 4 [size =\"12021760\"]\n  1 -> 5 [size =\"12021760\"]\n  1 -> 6 [size =\"12021760\"]\n  2 [size=\"64621227\", alpha=\"0.04\", expect_size=\"19386368\"] \n  2 -> 5 [size =\"19386368\"]\n  3 [size=\"60156587\", alpha=\"0.01\", expect_size=\"18046976\"] \n  3 -> 6 [size =\"18046976\"]\n  4 [size=\"130676053\", alpha=\"0.00\", expect_size=\"39202816\"] \n  4 -> 8 [size =\"39202816\"]\n  4 -> 10 [size =\"39202816\"]\n  5 [size=\"39714133\", alpha=\"0.10\", expect_size=\"11914240\"] \n  6 [size=\"99123200\", alpha=\"0.18\", expect_size=\"29736960\"] \n  6 -> 7 [size =\"29736960\"]\n  6 -> 8 [size =\"29736960\"]\n  6 -> 9 [size =\"29736960\"]\n  6 -> 10 [size =\"29736960\"]\n  7 [size=\"61440000\", alpha=\"0.13\", expect_size=\"18432000\"] \n  8 [size=\"146022400\", alpha=\"0.17\", expect_size=\"43806720\"] \n  8 -> 11 [size =\"43806720\"]\n  9 [size=\"123050667\", alpha=\"0.07\", expect_size=\"36915200\"] \n  9 -> 11 [size =\"36915200\"]\n  9 -> 13 [size =\"36915200\"]\n  10 [size=\"74997760\", alpha=\"0.11\", expect_size=\"22499328\"] \n  10 -> 12 [size =\"22499328\"]\n  11 [size=\"47923200\", alpha=\"0.18\", expect_size=\"14376960\"] \n  12 [size=\"53439147\", alpha=\"0.16\", expect_size=\"16031744\"] \n  12 -> 14 [size =\"16031744\"]\n  13 [size=\"85104640\", alpha=\"0.02\", expect_size=\"25531392\"] \n  13 -> 15 [size =\"25531392\"]\n  14 [size=\"91555840\", alpha=\"0.10\", expect_size=\"27466752\"] \n  14 -> 17 [size =\"27466752\"]\n  14 -> 18 [size =\"27466752\"]\n  14 -> 20 [size =\"27466752\"]\n  15 [size=\"93648213\", alpha=\"0.14\", expect_size=\"28094464\"] \n  15 -> 16 [size =\"28094464\"]\n  15 -> 18 [size =\"28094464\"]\n  15 -> 19 [size =\"28094464\"]\n  16 [size=\"173772800\", alpha=\"0.15\", expect_size=\"52131840\"] \n  17 [size=\"154494293\", alpha=\"0.15\", expect_size=\"46348288\"] \n  18 [size=\"96471040\", alpha=\"0.18\", expect_size=\"28941312\"] \n  19 [size=\"72349013\", alpha=\"0.09\", expect_size=\"21704704\"] \n  20 [size=\"125931520\", alpha=\"0.08\", expect_size=\"37779456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86214656\", alpha=\"0.01\", expect_size=\"43107328\"] \n  1 -> 18 [size =\"43107328\"]\n  1 -> 19 [size =\"43107328\"]\n  1 -> 20 [size =\"43107328\"]\n  2 [size=\"83417088\", alpha=\"0.09\", expect_size=\"41708544\"] \n  2 -> 16 [size =\"41708544\"]\n  3 [size=\"71835648\", alpha=\"0.18\", expect_size=\"35917824\"] \n  3 -> 16 [size =\"35917824\"]\n  4 [size=\"13326336\", alpha=\"0.09\", expect_size=\"6663168\"] \n  4 -> 16 [size =\"6663168\"]\n  4 -> 19 [size =\"6663168\"]\n  5 [size=\"60538880\", alpha=\"0.05\", expect_size=\"30269440\"] \n  5 -> 16 [size =\"30269440\"]\n  5 -> 18 [size =\"30269440\"]\n  5 -> 20 [size =\"30269440\"]\n  6 [size=\"15149056\", alpha=\"0.11\", expect_size=\"7574528\"] \n  6 -> 18 [size =\"7574528\"]\n  6 -> 19 [size =\"7574528\"]\n  7 [size=\"25909248\", alpha=\"0.19\", expect_size=\"12954624\"] \n  7 -> 18 [size =\"12954624\"]\n  7 -> 19 [size =\"12954624\"]\n  8 [size=\"70039552\", alpha=\"0.10\", expect_size=\"35019776\"] \n  8 -> 16 [size =\"35019776\"]\n  8 -> 18 [size =\"35019776\"]\n  8 -> 19 [size =\"35019776\"]\n  8 -> 20 [size =\"35019776\"]\n  9 [size=\"63758336\", alpha=\"0.07\", expect_size=\"31879168\"] \n  9 -> 16 [size =\"31879168\"]\n  9 -> 18 [size =\"31879168\"]\n  9 -> 19 [size =\"31879168\"]\n  9 -> 20 [size =\"31879168\"]\n  10 [size=\"104028160\", alpha=\"0.19\", expect_size=\"52014080\"] \n  10 -> 16 [size =\"52014080\"]\n  10 -> 20 [size =\"52014080\"]\n  11 [size=\"87396352\", alpha=\"0.00\", expect_size=\"43698176\"] \n  12 [size=\"94388224\", alpha=\"0.08\", expect_size=\"47194112\"] \n  12 -> 19 [size =\"47194112\"]\n  12 -> 20 [size =\"47194112\"]\n  13 [size=\"44220416\", alpha=\"0.17\", expect_size=\"22110208\"] \n  13 -> 16 [size =\"22110208\"]\n  13 -> 20 [size =\"22110208\"]\n  14 [size=\"35350528\", alpha=\"0.19\", expect_size=\"17675264\"] \n  14 -> 16 [size =\"17675264\"]\n  14 -> 20 [size =\"17675264\"]\n  15 [size=\"76165120\", alpha=\"0.12\", expect_size=\"38082560\"] \n  15 -> 16 [size =\"38082560\"]\n  15 -> 17 [size =\"38082560\"]\n  15 -> 20 [size =\"38082560\"]\n  16 [size=\"98506752\", alpha=\"0.02\", expect_size=\"49253376\"] \n  17 [size=\"58329088\", alpha=\"0.15\", expect_size=\"29164544\"] \n  18 [size=\"52008960\", alpha=\"0.20\", expect_size=\"26004480\"] \n  19 [size=\"99602432\", alpha=\"0.14\", expect_size=\"49801216\"] \n  20 [size=\"37607424\", alpha=\"0.13\", expect_size=\"18803712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85475328\", alpha=\"0.17\", expect_size=\"42737664\"] \n  1 -> 2 [size =\"42737664\"]\n  2 [size=\"91383808\", alpha=\"0.19\", expect_size=\"45691904\"] \n  2 -> 3 [size =\"45691904\"]\n  3 [size=\"101562368\", alpha=\"0.00\", expect_size=\"50781184\"] \n  3 -> 4 [size =\"50781184\"]\n  4 [size=\"19605504\", alpha=\"0.17\", expect_size=\"9802752\"] \n  4 -> 5 [size =\"9802752\"]\n  5 [size=\"33404928\", alpha=\"0.11\", expect_size=\"16702464\"] \n  5 -> 6 [size =\"16702464\"]\n  6 [size=\"27551744\", alpha=\"0.03\", expect_size=\"13775872\"] \n  6 -> 7 [size =\"13775872\"]\n  7 [size=\"79818752\", alpha=\"0.05\", expect_size=\"39909376\"] \n  7 -> 8 [size =\"39909376\"]\n  8 [size=\"25067520\", alpha=\"0.13\", expect_size=\"12533760\"] \n  8 -> 9 [size =\"12533760\"]\n  9 [size=\"75120640\", alpha=\"0.14\", expect_size=\"37560320\"] \n  9 -> 10 [size =\"37560320\"]\n  10 [size=\"36782080\", alpha=\"0.03\", expect_size=\"18391040\"] \n  10 -> 11 [size =\"18391040\"]\n  11 [size=\"26511360\", alpha=\"0.17\", expect_size=\"13255680\"] \n  11 -> 12 [size =\"13255680\"]\n  12 [size=\"10584064\", alpha=\"0.01\", expect_size=\"5292032\"] \n  12 -> 13 [size =\"5292032\"]\n  13 [size=\"100685824\", alpha=\"0.13\", expect_size=\"50342912\"] \n  13 -> 14 [size =\"50342912\"]\n  14 [size=\"102481920\", alpha=\"0.06\", expect_size=\"51240960\"] \n  14 -> 15 [size =\"51240960\"]\n  15 [size=\"87916544\", alpha=\"0.07\", expect_size=\"43958272\"] \n  15 -> 16 [size =\"43958272\"]\n  16 [size=\"44636160\", alpha=\"0.02\", expect_size=\"22318080\"] \n  16 -> 17 [size =\"22318080\"]\n  17 [size=\"56981504\", alpha=\"0.02\", expect_size=\"28490752\"] \n  17 -> 18 [size =\"28490752\"]\n  18 [size=\"82554880\", alpha=\"0.19\", expect_size=\"41277440\"] \n  18 -> 19 [size =\"41277440\"]\n  19 [size=\"49459200\", alpha=\"0.16\", expect_size=\"24729600\"] \n  19 -> 20 [size =\"24729600\"]\n  20 [size=\"22013952\", alpha=\"0.04\", expect_size=\"11006976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89364480\", alpha=\"0.13\", expect_size=\"44682240\"] \n  1 -> 12 [size =\"44682240\"]\n  1 -> 13 [size =\"44682240\"]\n  1 -> 15 [size =\"44682240\"]\n  1 -> 16 [size =\"44682240\"]\n  2 [size=\"87066624\", alpha=\"0.17\", expect_size=\"43533312\"] \n  2 -> 11 [size =\"43533312\"]\n  2 -> 16 [size =\"43533312\"]\n  3 [size=\"39718912\", alpha=\"0.13\", expect_size=\"19859456\"] \n  3 -> 11 [size =\"19859456\"]\n  3 -> 12 [size =\"19859456\"]\n  3 -> 13 [size =\"19859456\"]\n  3 -> 15 [size =\"19859456\"]\n  3 -> 16 [size =\"19859456\"]\n  4 [size=\"27617280\", alpha=\"0.20\", expect_size=\"13808640\"] \n  4 -> 9 [size =\"13808640\"]\n  4 -> 11 [size =\"13808640\"]\n  4 -> 12 [size =\"13808640\"]\n  4 -> 15 [size =\"13808640\"]\n  4 -> 16 [size =\"13808640\"]\n  5 [size=\"102993920\", alpha=\"0.02\", expect_size=\"51496960\"] \n  5 -> 9 [size =\"51496960\"]\n  5 -> 10 [size =\"51496960\"]\n  5 -> 11 [size =\"51496960\"]\n  5 -> 14 [size =\"51496960\"]\n  5 -> 15 [size =\"51496960\"]\n  5 -> 16 [size =\"51496960\"]\n  6 [size=\"39186432\", alpha=\"0.09\", expect_size=\"19593216\"] \n  6 -> 10 [size =\"19593216\"]\n  6 -> 12 [size =\"19593216\"]\n  6 -> 15 [size =\"19593216\"]\n  6 -> 16 [size =\"19593216\"]\n  7 [size=\"90574848\", alpha=\"0.02\", expect_size=\"45287424\"] \n  7 -> 11 [size =\"45287424\"]\n  8 [size=\"25782272\", alpha=\"0.08\", expect_size=\"12891136\"] \n  8 -> 9 [size =\"12891136\"]\n  8 -> 13 [size =\"12891136\"]\n  9 [size=\"57305088\", alpha=\"0.15\", expect_size=\"28652544\"] \n  9 -> 17 [size =\"28652544\"]\n  10 [size=\"92977152\", alpha=\"0.14\", expect_size=\"46488576\"] \n  10 -> 17 [size =\"46488576\"]\n  10 -> 20 [size =\"46488576\"]\n  11 [size=\"94040064\", alpha=\"0.00\", expect_size=\"47020032\"] \n  11 -> 20 [size =\"47020032\"]\n  12 [size=\"61378560\", alpha=\"0.13\", expect_size=\"30689280\"] \n  12 -> 18 [size =\"30689280\"]\n  12 -> 19 [size =\"30689280\"]\n  12 -> 20 [size =\"30689280\"]\n  13 [size=\"49043456\", alpha=\"0.02\", expect_size=\"24521728\"] \n  13 -> 20 [size =\"24521728\"]\n  14 [size=\"18307072\", alpha=\"0.15\", expect_size=\"9153536\"] \n  15 [size=\"17612800\", alpha=\"0.14\", expect_size=\"8806400\"] \n  15 -> 17 [size =\"8806400\"]\n  16 [size=\"27179008\", alpha=\"0.08\", expect_size=\"13589504\"] \n  16 -> 17 [size =\"13589504\"]\n  17 [size=\"69324800\", alpha=\"0.03\", expect_size=\"34662400\"] \n  18 [size=\"79507456\", alpha=\"0.01\", expect_size=\"39753728\"] \n  19 [size=\"22341632\", alpha=\"0.05\", expect_size=\"11170816\"] \n  20 [size=\"91731968\", alpha=\"0.00\", expect_size=\"45865984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76282880\", alpha=\"0.20\", expect_size=\"30513152\"] \n  1 -> 4 [size =\"30513152\"]\n  1 -> 6 [size =\"30513152\"]\n  1 -> 7 [size =\"30513152\"]\n  1 -> 8 [size =\"30513152\"]\n  2 [size=\"128875520\", alpha=\"0.10\", expect_size=\"51550208\"] \n  2 -> 5 [size =\"51550208\"]\n  2 -> 8 [size =\"51550208\"]\n  3 [size=\"129505280\", alpha=\"0.10\", expect_size=\"51802112\"] \n  3 -> 4 [size =\"51802112\"]\n  3 -> 5 [size =\"51802112\"]\n  3 -> 6 [size =\"51802112\"]\n  3 -> 7 [size =\"51802112\"]\n  3 -> 8 [size =\"51802112\"]\n  4 [size=\"60574720\", alpha=\"0.13\", expect_size=\"24229888\"] \n  4 -> 10 [size =\"24229888\"]\n  4 -> 12 [size =\"24229888\"]\n  5 [size=\"35978240\", alpha=\"0.12\", expect_size=\"14391296\"] \n  5 -> 12 [size =\"14391296\"]\n  6 [size=\"126456320\", alpha=\"0.17\", expect_size=\"50582528\"] \n  6 -> 12 [size =\"50582528\"]\n  7 [size=\"27914240\", alpha=\"0.06\", expect_size=\"11165696\"] \n  7 -> 9 [size =\"11165696\"]\n  7 -> 11 [size =\"11165696\"]\n  7 -> 12 [size =\"11165696\"]\n  8 [size=\"59335680\", alpha=\"0.07\", expect_size=\"23734272\"] \n  8 -> 10 [size =\"23734272\"]\n  9 [size=\"85245440\", alpha=\"0.03\", expect_size=\"34098176\"] \n  9 -> 13 [size =\"34098176\"]\n  9 -> 15 [size =\"34098176\"]\n  10 [size=\"40087040\", alpha=\"0.17\", expect_size=\"16034816\"] \n  10 -> 13 [size =\"16034816\"]\n  10 -> 14 [size =\"16034816\"]\n  10 -> 15 [size =\"16034816\"]\n  11 [size=\"110428160\", alpha=\"0.12\", expect_size=\"44171264\"] \n  11 -> 13 [size =\"44171264\"]\n  11 -> 15 [size =\"44171264\"]\n  12 [size=\"108213760\", alpha=\"0.11\", expect_size=\"43285504\"] \n  12 -> 13 [size =\"43285504\"]\n  12 -> 14 [size =\"43285504\"]\n  12 -> 15 [size =\"43285504\"]\n  13 [size=\"49146880\", alpha=\"0.16\", expect_size=\"19658752\"] \n  13 -> 17 [size =\"19658752\"]\n  13 -> 18 [size =\"19658752\"]\n  13 -> 19 [size =\"19658752\"]\n  14 [size=\"105459200\", alpha=\"0.12\", expect_size=\"42183680\"] \n  14 -> 18 [size =\"42183680\"]\n  14 -> 19 [size =\"42183680\"]\n  15 [size=\"62026240\", alpha=\"0.13\", expect_size=\"24810496\"] \n  15 -> 16 [size =\"24810496\"]\n  15 -> 18 [size =\"24810496\"]\n  15 -> 19 [size =\"24810496\"]\n  16 [size=\"14110720\", alpha=\"0.06\", expect_size=\"5644288\"] \n  17 [size=\"114772480\", alpha=\"0.04\", expect_size=\"45908992\"] \n  17 -> 20 [size =\"45908992\"]\n  18 [size=\"34309120\", alpha=\"0.12\", expect_size=\"13723648\"] \n  18 -> 20 [size =\"13723648\"]\n  19 [size=\"77744640\", alpha=\"0.05\", expect_size=\"31097856\"] \n  19 -> 20 [size =\"31097856\"]\n  20 [size=\"97743360\", alpha=\"0.08\", expect_size=\"39097344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132860587\", alpha=\"0.11\", expect_size=\"39858176\"] \n  1 -> 2 [size =\"39858176\"]\n  2 [size=\"110336000\", alpha=\"0.17\", expect_size=\"33100800\"] \n  2 -> 3 [size =\"33100800\"]\n  3 [size=\"132625067\", alpha=\"0.12\", expect_size=\"39787520\"] \n  3 -> 4 [size =\"39787520\"]\n  4 [size=\"94624427\", alpha=\"0.01\", expect_size=\"28387328\"] \n  4 -> 5 [size =\"28387328\"]\n  5 [size=\"36041387\", alpha=\"0.04\", expect_size=\"10812416\"] \n  5 -> 6 [size =\"10812416\"]\n  6 [size=\"43209387\", alpha=\"0.19\", expect_size=\"12962816\"] \n  6 -> 7 [size =\"12962816\"]\n  7 [size=\"173441707\", alpha=\"0.02\", expect_size=\"52032512\"] \n  7 -> 8 [size =\"52032512\"]\n  8 [size=\"91863040\", alpha=\"0.07\", expect_size=\"27558912\"] \n  8 -> 9 [size =\"27558912\"]\n  9 [size=\"67710293\", alpha=\"0.14\", expect_size=\"20313088\"] \n  9 -> 10 [size =\"20313088\"]\n  10 [size=\"97542827\", alpha=\"0.15\", expect_size=\"29262848\"] \n  10 -> 11 [size =\"29262848\"]\n  11 [size=\"77001387\", alpha=\"0.07\", expect_size=\"23100416\"] \n  11 -> 12 [size =\"23100416\"]\n  12 [size=\"164495360\", alpha=\"0.08\", expect_size=\"49348608\"] \n  12 -> 13 [size =\"49348608\"]\n  13 [size=\"139281067\", alpha=\"0.04\", expect_size=\"41784320\"] \n  13 -> 14 [size =\"41784320\"]\n  14 [size=\"73891840\", alpha=\"0.10\", expect_size=\"22167552\"] \n  14 -> 15 [size =\"22167552\"]\n  15 [size=\"83623253\", alpha=\"0.01\", expect_size=\"25086976\"] \n  15 -> 16 [size =\"25086976\"]\n  16 [size=\"111766187\", alpha=\"0.03\", expect_size=\"33529856\"] \n  16 -> 17 [size =\"33529856\"]\n  17 [size=\"101546667\", alpha=\"0.06\", expect_size=\"30464000\"] \n  17 -> 18 [size =\"30464000\"]\n  18 [size=\"114701653\", alpha=\"0.06\", expect_size=\"34410496\"] \n  18 -> 19 [size =\"34410496\"]\n  19 [size=\"172916053\", alpha=\"0.05\", expect_size=\"51874816\"] \n  19 -> 20 [size =\"51874816\"]\n  20 [size=\"123832320\", alpha=\"0.07\", expect_size=\"37149696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136379733\", alpha=\"0.10\", expect_size=\"40913920\"] \n  1 -> 11 [size =\"40913920\"]\n  1 -> 12 [size =\"40913920\"]\n  1 -> 13 [size =\"40913920\"]\n  1 -> 15 [size =\"40913920\"]\n  2 [size=\"171141120\", alpha=\"0.04\", expect_size=\"51342336\"] \n  2 -> 11 [size =\"51342336\"]\n  2 -> 13 [size =\"51342336\"]\n  2 -> 14 [size =\"51342336\"]\n  2 -> 15 [size =\"51342336\"]\n  2 -> 16 [size =\"51342336\"]\n  3 [size=\"67345067\", alpha=\"0.03\", expect_size=\"20203520\"] \n  3 -> 11 [size =\"20203520\"]\n  3 -> 12 [size =\"20203520\"]\n  3 -> 14 [size =\"20203520\"]\n  3 -> 15 [size =\"20203520\"]\n  4 [size=\"110042453\", alpha=\"0.09\", expect_size=\"33012736\"] \n  4 -> 10 [size =\"33012736\"]\n  4 -> 15 [size =\"33012736\"]\n  5 [size=\"133393067\", alpha=\"0.04\", expect_size=\"40017920\"] \n  5 -> 11 [size =\"40017920\"]\n  5 -> 13 [size =\"40017920\"]\n  5 -> 16 [size =\"40017920\"]\n  6 [size=\"168847360\", alpha=\"0.18\", expect_size=\"50654208\"] \n  6 -> 13 [size =\"50654208\"]\n  6 -> 13 [size =\"50654208\"]\n  7 [size=\"44666880\", alpha=\"0.07\", expect_size=\"13400064\"] \n  7 -> 12 [size =\"13400064\"]\n  7 -> 13 [size =\"13400064\"]\n  7 -> 14 [size =\"13400064\"]\n  7 -> 15 [size =\"13400064\"]\n  7 -> 16 [size =\"13400064\"]\n  8 [size=\"23497387\", alpha=\"0.03\", expect_size=\"7049216\"] \n  8 -> 11 [size =\"7049216\"]\n  8 -> 14 [size =\"7049216\"]\n  9 [size=\"43799893\", alpha=\"0.02\", expect_size=\"13139968\"] \n  9 -> 11 [size =\"13139968\"]\n  9 -> 12 [size =\"13139968\"]\n  9 -> 13 [size =\"13139968\"]\n  9 -> 15 [size =\"13139968\"]\n  10 [size=\"106799787\", alpha=\"0.11\", expect_size=\"32039936\"] \n  10 -> 17 [size =\"32039936\"]\n  10 -> 18 [size =\"32039936\"]\n  11 [size=\"79458987\", alpha=\"0.09\", expect_size=\"23837696\"] \n  11 -> 17 [size =\"23837696\"]\n  11 -> 19 [size =\"23837696\"]\n  12 [size=\"154586453\", alpha=\"0.18\", expect_size=\"46375936\"] \n  12 -> 18 [size =\"46375936\"]\n  13 [size=\"28883627\", alpha=\"0.18\", expect_size=\"8665088\"] \n  13 -> 18 [size =\"8665088\"]\n  13 -> 20 [size =\"8665088\"]\n  14 [size=\"51520853\", alpha=\"0.07\", expect_size=\"15456256\"] \n  14 -> 19 [size =\"15456256\"]\n  14 -> 20 [size =\"15456256\"]\n  15 [size=\"120746667\", alpha=\"0.07\", expect_size=\"36224000\"] \n  15 -> 20 [size =\"36224000\"]\n  16 [size=\"149749760\", alpha=\"0.01\", expect_size=\"44924928\"] \n  16 -> 17 [size =\"44924928\"]\n  17 [size=\"130505387\", alpha=\"0.00\", expect_size=\"39151616\"] \n  18 [size=\"25262080\", alpha=\"0.06\", expect_size=\"7578624\"] \n  19 [size=\"48599040\", alpha=\"0.01\", expect_size=\"14579712\"] \n  20 [size=\"66362027\", alpha=\"0.10\", expect_size=\"19908608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16757760\", alpha=\"0.17\", expect_size=\"6703104\"] \n  1 -> 2 [size =\"6703104\"]\n  2 [size=\"22929920\", alpha=\"0.15\", expect_size=\"9171968\"] \n  2 -> 3 [size =\"9171968\"]\n  3 [size=\"81515520\", alpha=\"0.09\", expect_size=\"32606208\"] \n  3 -> 4 [size =\"32606208\"]\n  4 [size=\"43156480\", alpha=\"0.17\", expect_size=\"17262592\"] \n  4 -> 5 [size =\"17262592\"]\n  5 [size=\"76147200\", alpha=\"0.05\", expect_size=\"30458880\"] \n  5 -> 6 [size =\"30458880\"]\n  6 [size=\"50334720\", alpha=\"0.19\", expect_size=\"20133888\"] \n  6 -> 7 [size =\"20133888\"]\n  7 [size=\"51179520\", alpha=\"0.09\", expect_size=\"20471808\"] \n  7 -> 8 [size =\"20471808\"]\n  8 [size=\"53278720\", alpha=\"0.17\", expect_size=\"21311488\"] \n  8 -> 9 [size =\"21311488\"]\n  9 [size=\"59371520\", alpha=\"0.00\", expect_size=\"23748608\"] \n  9 -> 10 [size =\"23748608\"]\n  10 [size=\"49182720\", alpha=\"0.07\", expect_size=\"19673088\"] \n  10 -> 11 [size =\"19673088\"]\n  11 [size=\"50808320\", alpha=\"0.13\", expect_size=\"20323328\"] \n  11 -> 12 [size =\"20323328\"]\n  12 [size=\"34767360\", alpha=\"0.13\", expect_size=\"13906944\"] \n  12 -> 13 [size =\"13906944\"]\n  13 [size=\"123591680\", alpha=\"0.14\", expect_size=\"49436672\"] \n  13 -> 14 [size =\"49436672\"]\n  14 [size=\"58718720\", alpha=\"0.10\", expect_size=\"23487488\"] \n  14 -> 15 [size =\"23487488\"]\n  15 [size=\"42321920\", alpha=\"0.05\", expect_size=\"16928768\"] \n  15 -> 16 [size =\"16928768\"]\n  16 [size=\"72821760\", alpha=\"0.09\", expect_size=\"29128704\"] \n  16 -> 17 [size =\"29128704\"]\n  17 [size=\"68019200\", alpha=\"0.08\", expect_size=\"27207680\"] \n  17 -> 18 [size =\"27207680\"]\n  18 [size=\"120849920\", alpha=\"0.18\", expect_size=\"48339968\"] \n  18 -> 19 [size =\"48339968\"]\n  19 [size=\"102172160\", alpha=\"0.15\", expect_size=\"40868864\"] \n  19 -> 20 [size =\"40868864\"]\n  20 [size=\"102328320\", alpha=\"0.17\", expect_size=\"40931328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32665600\", alpha=\"0.13\", expect_size=\"9799680\"] \n  1 -> 3 [size =\"9799680\"]\n  1 -> 4 [size =\"9799680\"]\n  2 [size=\"23142400\", alpha=\"0.14\", expect_size=\"6942720\"] \n  2 -> 4 [size =\"6942720\"]\n  3 [size=\"41762133\", alpha=\"0.12\", expect_size=\"12528640\"] \n  4 [size=\"60887040\", alpha=\"0.05\", expect_size=\"18266112\"] \n  4 -> 5 [size =\"18266112\"]\n  4 -> 6 [size =\"18266112\"]\n  5 [size=\"149050027\", alpha=\"0.08\", expect_size=\"44715008\"] \n  5 -> 7 [size =\"44715008\"]\n  5 -> 8 [size =\"44715008\"]\n  5 -> 9 [size =\"44715008\"]\n  5 -> 10 [size =\"44715008\"]\n  6 [size=\"59726507\", alpha=\"0.09\", expect_size=\"17917952\"] \n  6 -> 7 [size =\"17917952\"]\n  6 -> 9 [size =\"17917952\"]\n  6 -> 10 [size =\"17917952\"]\n  7 [size=\"129215147\", alpha=\"0.19\", expect_size=\"38764544\"] \n  7 -> 11 [size =\"38764544\"]\n  7 -> 12 [size =\"38764544\"]\n  7 -> 13 [size =\"38764544\"]\n  7 -> 14 [size =\"38764544\"]\n  8 [size=\"117159253\", alpha=\"0.11\", expect_size=\"35147776\"] \n  8 -> 11 [size =\"35147776\"]\n  8 -> 13 [size =\"35147776\"]\n  8 -> 14 [size =\"35147776\"]\n  9 [size=\"137188693\", alpha=\"0.12\", expect_size=\"41156608\"] \n  9 -> 11 [size =\"41156608\"]\n  9 -> 13 [size =\"41156608\"]\n  9 -> 14 [size =\"41156608\"]\n  10 [size=\"64419840\", alpha=\"0.09\", expect_size=\"19325952\"] \n  10 -> 11 [size =\"19325952\"]\n  10 -> 13 [size =\"19325952\"]\n  10 -> 14 [size =\"19325952\"]\n  11 [size=\"130829653\", alpha=\"0.17\", expect_size=\"39248896\"] \n  11 -> 15 [size =\"39248896\"]\n  11 -> 16 [size =\"39248896\"]\n  11 -> 17 [size =\"39248896\"]\n  12 [size=\"76902400\", alpha=\"0.03\", expect_size=\"23070720\"] \n  12 -> 16 [size =\"23070720\"]\n  12 -> 17 [size =\"23070720\"]\n  12 -> 18 [size =\"23070720\"]\n  13 [size=\"29009920\", alpha=\"0.01\", expect_size=\"8702976\"] \n  13 -> 15 [size =\"8702976\"]\n  13 -> 16 [size =\"8702976\"]\n  13 -> 18 [size =\"8702976\"]\n  13 -> 19 [size =\"8702976\"]\n  14 [size=\"119879680\", alpha=\"0.06\", expect_size=\"35963904\"] \n  14 -> 15 [size =\"35963904\"]\n  14 -> 16 [size =\"35963904\"]\n  14 -> 18 [size =\"35963904\"]\n  14 -> 19 [size =\"35963904\"]\n  15 [size=\"157341013\", alpha=\"0.10\", expect_size=\"47202304\"] \n  15 -> 20 [size =\"47202304\"]\n  16 [size=\"61962240\", alpha=\"0.16\", expect_size=\"18588672\"] \n  16 -> 20 [size =\"18588672\"]\n  17 [size=\"134550187\", alpha=\"0.06\", expect_size=\"40365056\"] \n  17 -> 20 [size =\"40365056\"]\n  18 [size=\"127542613\", alpha=\"0.04\", expect_size=\"38262784\"] \n  18 -> 20 [size =\"38262784\"]\n  19 [size=\"55125333\", alpha=\"0.03\", expect_size=\"16537600\"] \n  19 -> 20 [size =\"16537600\"]\n  20 [size=\"146053120\", alpha=\"0.16\", expect_size=\"43815936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71180288\", alpha=\"0.10\", expect_size=\"35590144\"] \n  1 -> 17 [size =\"35590144\"]\n  1 -> 19 [size =\"35590144\"]\n  1 -> 20 [size =\"35590144\"]\n  2 [size=\"86353920\", alpha=\"0.14\", expect_size=\"43176960\"] \n  2 -> 20 [size =\"43176960\"]\n  3 [size=\"13832192\", alpha=\"0.11\", expect_size=\"6916096\"] \n  3 -> 15 [size =\"6916096\"]\n  3 -> 16 [size =\"6916096\"]\n  3 -> 19 [size =\"6916096\"]\n  3 -> 20 [size =\"6916096\"]\n  4 [size=\"68755456\", alpha=\"0.05\", expect_size=\"34377728\"] \n  4 -> 14 [size =\"34377728\"]\n  4 -> 16 [size =\"34377728\"]\n  4 -> 17 [size =\"34377728\"]\n  4 -> 19 [size =\"34377728\"]\n  4 -> 20 [size =\"34377728\"]\n  5 [size=\"47515648\", alpha=\"0.13\", expect_size=\"23757824\"] \n  5 -> 13 [size =\"23757824\"]\n  5 -> 20 [size =\"23757824\"]\n  6 [size=\"83451904\", alpha=\"0.13\", expect_size=\"41725952\"] \n  6 -> 14 [size =\"41725952\"]\n  6 -> 15 [size =\"41725952\"]\n  6 -> 16 [size =\"41725952\"]\n  6 -> 17 [size =\"41725952\"]\n  6 -> 18 [size =\"41725952\"]\n  6 -> 20 [size =\"41725952\"]\n  7 [size=\"40275968\", alpha=\"0.03\", expect_size=\"20137984\"] \n  7 -> 13 [size =\"20137984\"]\n  7 -> 16 [size =\"20137984\"]\n  8 [size=\"16351232\", alpha=\"0.13\", expect_size=\"8175616\"] \n  8 -> 14 [size =\"8175616\"]\n  8 -> 15 [size =\"8175616\"]\n  8 -> 17 [size =\"8175616\"]\n  9 [size=\"96581632\", alpha=\"0.06\", expect_size=\"48290816\"] \n  9 -> 14 [size =\"48290816\"]\n  9 -> 17 [size =\"48290816\"]\n  9 -> 18 [size =\"48290816\"]\n  10 [size=\"57878528\", alpha=\"0.13\", expect_size=\"28939264\"] \n  10 -> 14 [size =\"28939264\"]\n  10 -> 15 [size =\"28939264\"]\n  10 -> 17 [size =\"28939264\"]\n  11 [size=\"98504704\", alpha=\"0.07\", expect_size=\"49252352\"] \n  11 -> 14 [size =\"49252352\"]\n  11 -> 15 [size =\"49252352\"]\n  11 -> 19 [size =\"49252352\"]\n  11 -> 20 [size =\"49252352\"]\n  12 [size=\"52789248\", alpha=\"0.10\", expect_size=\"26394624\"] \n  12 -> 14 [size =\"26394624\"]\n  12 -> 15 [size =\"26394624\"]\n  12 -> 19 [size =\"26394624\"]\n  13 [size=\"23085056\", alpha=\"0.16\", expect_size=\"11542528\"] \n  14 [size=\"75304960\", alpha=\"0.16\", expect_size=\"37652480\"] \n  15 [size=\"99465216\", alpha=\"0.06\", expect_size=\"49732608\"] \n  16 [size=\"65202176\", alpha=\"0.08\", expect_size=\"32601088\"] \n  17 [size=\"32882688\", alpha=\"0.08\", expect_size=\"16441344\"] \n  18 [size=\"49033216\", alpha=\"0.07\", expect_size=\"24516608\"] \n  19 [size=\"17453056\", alpha=\"0.14\", expect_size=\"8726528\"] \n  20 [size=\"47136768\", alpha=\"0.19\", expect_size=\"23568384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55129600\", alpha=\"0.16\", expect_size=\"22051840\"] \n  2 [size=\"25280000\", alpha=\"0.20\", expect_size=\"10112000\"] \n  2 -> 4 [size =\"10112000\"]\n  2 -> 5 [size =\"10112000\"]\n  3 [size=\"81241600\", alpha=\"0.20\", expect_size=\"32496640\"] \n  4 [size=\"32755200\", alpha=\"0.18\", expect_size=\"13102080\"] \n  4 -> 6 [size =\"13102080\"]\n  4 -> 9 [size =\"13102080\"]\n  4 -> 10 [size =\"13102080\"]\n  5 [size=\"119997440\", alpha=\"0.20\", expect_size=\"47998976\"] \n  5 -> 6 [size =\"47998976\"]\n  5 -> 7 [size =\"47998976\"]\n  5 -> 8 [size =\"47998976\"]\n  6 [size=\"38597120\", alpha=\"0.04\", expect_size=\"15438848\"] \n  6 -> 11 [size =\"15438848\"]\n  6 -> 12 [size =\"15438848\"]\n  7 [size=\"108846080\", alpha=\"0.04\", expect_size=\"43538432\"] \n  7 -> 12 [size =\"43538432\"]\n  7 -> 13 [size =\"43538432\"]\n  7 -> 14 [size =\"43538432\"]\n  8 [size=\"22878720\", alpha=\"0.13\", expect_size=\"9151488\"] \n  9 [size=\"107276800\", alpha=\"0.14\", expect_size=\"42910720\"] \n  9 -> 12 [size =\"42910720\"]\n  10 [size=\"83458560\", alpha=\"0.12\", expect_size=\"33383424\"] \n  10 -> 13 [size =\"33383424\"]\n  11 [size=\"55485440\", alpha=\"0.08\", expect_size=\"22194176\"] \n  11 -> 15 [size =\"22194176\"]\n  11 -> 17 [size =\"22194176\"]\n  11 -> 19 [size =\"22194176\"]\n  12 [size=\"29199360\", alpha=\"0.18\", expect_size=\"11679744\"] \n  12 -> 15 [size =\"11679744\"]\n  12 -> 16 [size =\"11679744\"]\n  12 -> 18 [size =\"11679744\"]\n  13 [size=\"26572800\", alpha=\"0.06\", expect_size=\"10629120\"] \n  13 -> 16 [size =\"10629120\"]\n  13 -> 18 [size =\"10629120\"]\n  14 [size=\"24675840\", alpha=\"0.12\", expect_size=\"9870336\"] \n  14 -> 19 [size =\"9870336\"]\n  15 [size=\"14371840\", alpha=\"0.13\", expect_size=\"5748736\"] \n  16 [size=\"13493760\", alpha=\"0.09\", expect_size=\"5397504\"] \n  16 -> 20 [size =\"5397504\"]\n  17 [size=\"35128320\", alpha=\"0.02\", expect_size=\"14051328\"] \n  18 [size=\"58135040\", alpha=\"0.08\", expect_size=\"23254016\"] \n  19 [size=\"14553600\", alpha=\"0.01\", expect_size=\"5821440\"] \n  20 [size=\"95406080\", alpha=\"0.05\", expect_size=\"38162432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39198720\", alpha=\"0.05\", expect_size=\"19599360\"] \n  1 -> 6 [size =\"19599360\"]\n  2 [size=\"28766208\", alpha=\"0.08\", expect_size=\"14383104\"] \n  2 -> 7 [size =\"14383104\"]\n  3 [size=\"61579264\", alpha=\"0.04\", expect_size=\"30789632\"] \n  3 -> 7 [size =\"30789632\"]\n  4 [size=\"30488576\", alpha=\"0.04\", expect_size=\"15244288\"] \n  4 -> 5 [size =\"15244288\"]\n  5 [size=\"57673728\", alpha=\"0.12\", expect_size=\"28836864\"] \n  5 -> 10 [size =\"28836864\"]\n  5 -> 11 [size =\"28836864\"]\n  5 -> 12 [size =\"28836864\"]\n  6 [size=\"32614400\", alpha=\"0.04\", expect_size=\"16307200\"] \n  6 -> 8 [size =\"16307200\"]\n  6 -> 11 [size =\"16307200\"]\n  7 [size=\"30480384\", alpha=\"0.14\", expect_size=\"15240192\"] \n  7 -> 8 [size =\"15240192\"]\n  7 -> 9 [size =\"15240192\"]\n  7 -> 10 [size =\"15240192\"]\n  8 [size=\"78387200\", alpha=\"0.09\", expect_size=\"39193600\"] \n  8 -> 13 [size =\"39193600\"]\n  9 [size=\"42186752\", alpha=\"0.02\", expect_size=\"21093376\"] \n  9 -> 15 [size =\"21093376\"]\n  9 -> 16 [size =\"21093376\"]\n  10 [size=\"86796288\", alpha=\"0.18\", expect_size=\"43398144\"] \n  10 -> 15 [size =\"43398144\"]\n  11 [size=\"64088064\", alpha=\"0.07\", expect_size=\"32044032\"] \n  12 [size=\"86607872\", alpha=\"0.07\", expect_size=\"43303936\"] \n  12 -> 13 [size =\"43303936\"]\n  12 -> 14 [size =\"43303936\"]\n  12 -> 15 [size =\"43303936\"]\n  12 -> 16 [size =\"43303936\"]\n  13 [size=\"31438848\", alpha=\"0.05\", expect_size=\"15719424\"] \n  14 [size=\"51757056\", alpha=\"0.13\", expect_size=\"25878528\"] \n  14 -> 18 [size =\"25878528\"]\n  14 -> 20 [size =\"25878528\"]\n  15 [size=\"69922816\", alpha=\"0.11\", expect_size=\"34961408\"] \n  15 -> 17 [size =\"34961408\"]\n  15 -> 19 [size =\"34961408\"]\n  16 [size=\"32350208\", alpha=\"0.12\", expect_size=\"16175104\"] \n  16 -> 18 [size =\"16175104\"]\n  16 -> 19 [size =\"16175104\"]\n  17 [size=\"51462144\", alpha=\"0.15\", expect_size=\"25731072\"] \n  18 [size=\"23369728\", alpha=\"0.01\", expect_size=\"11684864\"] \n  19 [size=\"67178496\", alpha=\"0.14\", expect_size=\"33589248\"] \n  20 [size=\"75718656\", alpha=\"0.06\", expect_size=\"37859328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152872960\", alpha=\"0.18\", expect_size=\"45861888\"] \n  1 -> 2 [size =\"45861888\"]\n  2 [size=\"96372053\", alpha=\"0.10\", expect_size=\"28911616\"] \n  2 -> 3 [size =\"28911616\"]\n  3 [size=\"172059307\", alpha=\"0.12\", expect_size=\"51617792\"] \n  3 -> 4 [size =\"51617792\"]\n  3 -> 5 [size =\"51617792\"]\n  4 [size=\"108465493\", alpha=\"0.17\", expect_size=\"32539648\"] \n  4 -> 6 [size =\"32539648\"]\n  5 [size=\"37263360\", alpha=\"0.15\", expect_size=\"11179008\"] \n  6 [size=\"96334507\", alpha=\"0.20\", expect_size=\"28900352\"] \n  6 -> 7 [size =\"28900352\"]\n  6 -> 8 [size =\"28900352\"]\n  7 [size=\"105751893\", alpha=\"0.05\", expect_size=\"31725568\"] \n  7 -> 9 [size =\"31725568\"]\n  7 -> 10 [size =\"31725568\"]\n  8 [size=\"76881920\", alpha=\"0.20\", expect_size=\"23064576\"] \n  8 -> 10 [size =\"23064576\"]\n  9 [size=\"55589547\", alpha=\"0.03\", expect_size=\"16676864\"] \n  9 -> 11 [size =\"16676864\"]\n  10 [size=\"54596267\", alpha=\"0.01\", expect_size=\"16378880\"] \n  11 [size=\"22835200\", alpha=\"0.19\", expect_size=\"6850560\"] \n  11 -> 12 [size =\"6850560\"]\n  12 [size=\"166434133\", alpha=\"0.15\", expect_size=\"49930240\"] \n  12 -> 13 [size =\"49930240\"]\n  12 -> 14 [size =\"49930240\"]\n  13 [size=\"88920747\", alpha=\"0.14\", expect_size=\"26676224\"] \n  13 -> 15 [size =\"26676224\"]\n  13 -> 16 [size =\"26676224\"]\n  14 [size=\"26934613\", alpha=\"0.00\", expect_size=\"8080384\"] \n  14 -> 15 [size =\"8080384\"]\n  14 -> 16 [size =\"8080384\"]\n  15 [size=\"164461227\", alpha=\"0.17\", expect_size=\"49338368\"] \n  15 -> 17 [size =\"49338368\"]\n  15 -> 18 [size =\"49338368\"]\n  16 [size=\"122129067\", alpha=\"0.19\", expect_size=\"36638720\"] \n  17 [size=\"121460053\", alpha=\"0.07\", expect_size=\"36438016\"] \n  18 [size=\"159720107\", alpha=\"0.03\", expect_size=\"47916032\"] \n  18 -> 19 [size =\"47916032\"]\n  18 -> 20 [size =\"47916032\"]\n  19 [size=\"157798400\", alpha=\"0.04\", expect_size=\"47339520\"] \n  20 [size=\"21452800\", alpha=\"0.16\", expect_size=\"6435840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89036800\", alpha=\"0.04\", expect_size=\"26711040\"] \n  1 -> 9 [size =\"26711040\"]\n  1 -> 10 [size =\"26711040\"]\n  1 -> 12 [size =\"26711040\"]\n  2 [size=\"109428053\", alpha=\"0.15\", expect_size=\"32828416\"] \n  2 -> 7 [size =\"32828416\"]\n  2 -> 10 [size =\"32828416\"]\n  2 -> 12 [size =\"32828416\"]\n  3 [size=\"121381547\", alpha=\"0.15\", expect_size=\"36414464\"] \n  3 -> 7 [size =\"36414464\"]\n  3 -> 10 [size =\"36414464\"]\n  3 -> 11 [size =\"36414464\"]\n  3 -> 12 [size =\"36414464\"]\n  4 [size=\"32853333\", alpha=\"0.17\", expect_size=\"9856000\"] \n  4 -> 7 [size =\"9856000\"]\n  4 -> 8 [size =\"9856000\"]\n  4 -> 13 [size =\"9856000\"]\n  5 [size=\"147828053\", alpha=\"0.16\", expect_size=\"44348416\"] \n  5 -> 8 [size =\"44348416\"]\n  5 -> 13 [size =\"44348416\"]\n  6 [size=\"157381973\", alpha=\"0.12\", expect_size=\"47214592\"] \n  6 -> 7 [size =\"47214592\"]\n  6 -> 8 [size =\"47214592\"]\n  6 -> 10 [size =\"47214592\"]\n  6 -> 11 [size =\"47214592\"]\n  6 -> 13 [size =\"47214592\"]\n  6 -> 14 [size =\"47214592\"]\n  7 [size=\"129064960\", alpha=\"0.01\", expect_size=\"38719488\"] \n  7 -> 19 [size =\"38719488\"]\n  7 -> 20 [size =\"38719488\"]\n  8 [size=\"147660800\", alpha=\"0.05\", expect_size=\"44298240\"] \n  8 -> 15 [size =\"44298240\"]\n  8 -> 16 [size =\"44298240\"]\n  8 -> 18 [size =\"44298240\"]\n  9 [size=\"35525973\", alpha=\"0.15\", expect_size=\"10657792\"] \n  9 -> 15 [size =\"10657792\"]\n  9 -> 16 [size =\"10657792\"]\n  9 -> 18 [size =\"10657792\"]\n  9 -> 19 [size =\"10657792\"]\n  9 -> 20 [size =\"10657792\"]\n  10 [size=\"130600960\", alpha=\"0.07\", expect_size=\"39180288\"] \n  10 -> 15 [size =\"39180288\"]\n  10 -> 16 [size =\"39180288\"]\n  10 -> 19 [size =\"39180288\"]\n  10 -> 20 [size =\"39180288\"]\n  11 [size=\"28504747\", alpha=\"0.02\", expect_size=\"8551424\"] \n  11 -> 15 [size =\"8551424\"]\n  11 -> 16 [size =\"8551424\"]\n  11 -> 20 [size =\"8551424\"]\n  11 -> 20 [size =\"8551424\"]\n  12 [size=\"57436160\", alpha=\"0.09\", expect_size=\"17230848\"] \n  12 -> 15 [size =\"17230848\"]\n  12 -> 16 [size =\"17230848\"]\n  12 -> 17 [size =\"17230848\"]\n  12 -> 18 [size =\"17230848\"]\n  13 [size=\"18691413\", alpha=\"0.01\", expect_size=\"5607424\"] \n  13 -> 16 [size =\"5607424\"]\n  13 -> 18 [size =\"5607424\"]\n  13 -> 19 [size =\"5607424\"]\n  14 [size=\"138338987\", alpha=\"0.20\", expect_size=\"41501696\"] \n  14 -> 18 [size =\"41501696\"]\n  14 -> 18 [size =\"41501696\"]\n  14 -> 19 [size =\"41501696\"]\n  15 [size=\"115360427\", alpha=\"0.17\", expect_size=\"34608128\"] \n  16 [size=\"87790933\", alpha=\"0.13\", expect_size=\"26337280\"] \n  17 [size=\"24692053\", alpha=\"0.13\", expect_size=\"7407616\"] \n  18 [size=\"30914560\", alpha=\"0.04\", expect_size=\"9274368\"] \n  19 [size=\"69198507\", alpha=\"0.18\", expect_size=\"20759552\"] \n  20 [size=\"29648213\", alpha=\"0.17\", expect_size=\"8894464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98777600\", alpha=\"0.16\", expect_size=\"39511040\"] \n  1 -> 3 [size =\"39511040\"]\n  2 [size=\"28241920\", alpha=\"0.17\", expect_size=\"11296768\"] \n  2 -> 3 [size =\"11296768\"]\n  3 [size=\"58856960\", alpha=\"0.06\", expect_size=\"23542784\"] \n  3 -> 4 [size =\"23542784\"]\n  4 [size=\"76938240\", alpha=\"0.00\", expect_size=\"30775296\"] \n  4 -> 5 [size =\"30775296\"]\n  5 [size=\"56711680\", alpha=\"0.19\", expect_size=\"22684672\"] \n  5 -> 6 [size =\"22684672\"]\n  6 [size=\"55941120\", alpha=\"0.08\", expect_size=\"22376448\"] \n  6 -> 7 [size =\"22376448\"]\n  7 [size=\"67399680\", alpha=\"0.11\", expect_size=\"26959872\"] \n  7 -> 8 [size =\"26959872\"]\n  7 -> 9 [size =\"26959872\"]\n  8 [size=\"44881920\", alpha=\"0.18\", expect_size=\"17952768\"] \n  8 -> 10 [size =\"17952768\"]\n  9 [size=\"25187840\", alpha=\"0.00\", expect_size=\"10075136\"] \n  9 -> 10 [size =\"10075136\"]\n  10 [size=\"13893120\", alpha=\"0.07\", expect_size=\"5557248\"] \n  10 -> 11 [size =\"5557248\"]\n  11 [size=\"102702080\", alpha=\"0.04\", expect_size=\"41080832\"] \n  11 -> 12 [size =\"41080832\"]\n  11 -> 13 [size =\"41080832\"]\n  12 [size=\"76979200\", alpha=\"0.19\", expect_size=\"30791680\"] \n  12 -> 14 [size =\"30791680\"]\n  13 [size=\"56376320\", alpha=\"0.15\", expect_size=\"22550528\"] \n  13 -> 14 [size =\"22550528\"]\n  14 [size=\"91287040\", alpha=\"0.08\", expect_size=\"36514816\"] \n  14 -> 15 [size =\"36514816\"]\n  15 [size=\"93258240\", alpha=\"0.16\", expect_size=\"37303296\"] \n  15 -> 16 [size =\"37303296\"]\n  15 -> 17 [size =\"37303296\"]\n  16 [size=\"89059840\", alpha=\"0.12\", expect_size=\"35623936\"] \n  16 -> 18 [size =\"35623936\"]\n  17 [size=\"20999680\", alpha=\"0.10\", expect_size=\"8399872\"] \n  18 [size=\"86054400\", alpha=\"0.17\", expect_size=\"34421760\"] \n  18 -> 19 [size =\"34421760\"]\n  19 [size=\"76541440\", alpha=\"0.07\", expect_size=\"30616576\"] \n  19 -> 20 [size =\"30616576\"]\n  20 [size=\"77437440\", alpha=\"0.18\", expect_size=\"30974976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63518720\", alpha=\"0.10\", expect_size=\"31759360\"] \n  1 -> 16 [size =\"31759360\"]\n  1 -> 19 [size =\"31759360\"]\n  2 [size=\"16881664\", alpha=\"0.01\", expect_size=\"8440832\"] \n  2 -> 14 [size =\"8440832\"]\n  2 -> 15 [size =\"8440832\"]\n  3 [size=\"102615040\", alpha=\"0.03\", expect_size=\"51307520\"] \n  3 -> 18 [size =\"51307520\"]\n  4 [size=\"96270336\", alpha=\"0.03\", expect_size=\"48135168\"] \n  4 -> 13 [size =\"48135168\"]\n  4 -> 14 [size =\"48135168\"]\n  4 -> 19 [size =\"48135168\"]\n  5 [size=\"40785920\", alpha=\"0.12\", expect_size=\"20392960\"] \n  5 -> 13 [size =\"20392960\"]\n  5 -> 14 [size =\"20392960\"]\n  6 [size=\"46585856\", alpha=\"0.09\", expect_size=\"23292928\"] \n  6 -> 15 [size =\"23292928\"]\n  6 -> 16 [size =\"23292928\"]\n  6 -> 20 [size =\"23292928\"]\n  7 [size=\"94382080\", alpha=\"0.16\", expect_size=\"47191040\"] \n  7 -> 13 [size =\"47191040\"]\n  7 -> 14 [size =\"47191040\"]\n  7 -> 17 [size =\"47191040\"]\n  8 [size=\"12808192\", alpha=\"0.10\", expect_size=\"6404096\"] \n  8 -> 12 [size =\"6404096\"]\n  8 -> 13 [size =\"6404096\"]\n  8 -> 19 [size =\"6404096\"]\n  8 -> 20 [size =\"6404096\"]\n  9 [size=\"65486848\", alpha=\"0.11\", expect_size=\"32743424\"] \n  9 -> 13 [size =\"32743424\"]\n  9 -> 14 [size =\"32743424\"]\n  9 -> 17 [size =\"32743424\"]\n  9 -> 19 [size =\"32743424\"]\n  9 -> 20 [size =\"32743424\"]\n  10 [size=\"10854400\", alpha=\"0.15\", expect_size=\"5427200\"] \n  10 -> 20 [size =\"5427200\"]\n  11 [size=\"32880640\", alpha=\"0.20\", expect_size=\"16440320\"] \n  12 [size=\"78718976\", alpha=\"0.00\", expect_size=\"39359488\"] \n  13 [size=\"82771968\", alpha=\"0.00\", expect_size=\"41385984\"] \n  14 [size=\"94664704\", alpha=\"0.14\", expect_size=\"47332352\"] \n  15 [size=\"16009216\", alpha=\"0.18\", expect_size=\"8004608\"] \n  16 [size=\"71254016\", alpha=\"0.01\", expect_size=\"35627008\"] \n  17 [size=\"19064832\", alpha=\"0.09\", expect_size=\"9532416\"] \n  18 [size=\"93366272\", alpha=\"0.04\", expect_size=\"46683136\"] \n  19 [size=\"45441024\", alpha=\"0.02\", expect_size=\"22720512\"] \n  20 [size=\"96915456\", alpha=\"0.06\", expect_size=\"48457728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65580373\", alpha=\"0.09\", expect_size=\"19674112\"] \n  1 -> 3 [size =\"19674112\"]\n  2 [size=\"82425173\", alpha=\"0.15\", expect_size=\"24727552\"] \n  3 [size=\"101778773\", alpha=\"0.04\", expect_size=\"30533632\"] \n  3 -> 4 [size =\"30533632\"]\n  4 [size=\"138523307\", alpha=\"0.09\", expect_size=\"41556992\"] \n  4 -> 5 [size =\"41556992\"]\n  4 -> 6 [size =\"41556992\"]\n  5 [size=\"18367147\", alpha=\"0.15\", expect_size=\"5510144\"] \n  5 -> 7 [size =\"5510144\"]\n  6 [size=\"117449387\", alpha=\"0.13\", expect_size=\"35234816\"] \n  7 [size=\"126952107\", alpha=\"0.11\", expect_size=\"38085632\"] \n  7 -> 8 [size =\"38085632\"]\n  8 [size=\"25480533\", alpha=\"0.16\", expect_size=\"7644160\"] \n  8 -> 9 [size =\"7644160\"]\n  9 [size=\"125245440\", alpha=\"0.09\", expect_size=\"37573632\"] \n  9 -> 10 [size =\"37573632\"]\n  9 -> 11 [size =\"37573632\"]\n  10 [size=\"148302507\", alpha=\"0.19\", expect_size=\"44490752\"] \n  10 -> 12 [size =\"44490752\"]\n  10 -> 13 [size =\"44490752\"]\n  11 [size=\"33809067\", alpha=\"0.01\", expect_size=\"10142720\"] \n  12 [size=\"104751787\", alpha=\"0.12\", expect_size=\"31425536\"] \n  12 -> 14 [size =\"31425536\"]\n  12 -> 15 [size =\"31425536\"]\n  13 [size=\"69154133\", alpha=\"0.03\", expect_size=\"20746240\"] \n  14 [size=\"100078933\", alpha=\"0.17\", expect_size=\"30023680\"] \n  14 -> 16 [size =\"30023680\"]\n  15 [size=\"171687253\", alpha=\"0.13\", expect_size=\"51506176\"] \n  16 [size=\"130143573\", alpha=\"0.11\", expect_size=\"39043072\"] \n  16 -> 17 [size =\"39043072\"]\n  17 [size=\"76943360\", alpha=\"0.13\", expect_size=\"23083008\"] \n  17 -> 18 [size =\"23083008\"]\n  17 -> 19 [size =\"23083008\"]\n  18 [size=\"161556480\", alpha=\"0.15\", expect_size=\"48466944\"] \n  19 [size=\"128440320\", alpha=\"0.09\", expect_size=\"38532096\"] \n  19 -> 20 [size =\"38532096\"]\n  20 [size=\"43376640\", alpha=\"0.07\", expect_size=\"13012992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45232640\", alpha=\"0.04\", expect_size=\"18093056\"] \n  1 -> 16 [size =\"18093056\"]\n  1 -> 20 [size =\"18093056\"]\n  2 [size=\"125263360\", alpha=\"0.04\", expect_size=\"50105344\"] \n  2 -> 16 [size =\"50105344\"]\n  2 -> 19 [size =\"50105344\"]\n  3 [size=\"36439040\", alpha=\"0.13\", expect_size=\"14575616\"] \n  3 -> 16 [size =\"14575616\"]\n  3 -> 17 [size =\"14575616\"]\n  3 -> 19 [size =\"14575616\"]\n  3 -> 20 [size =\"14575616\"]\n  4 [size=\"78699520\", alpha=\"0.17\", expect_size=\"31479808\"] \n  4 -> 16 [size =\"31479808\"]\n  4 -> 19 [size =\"31479808\"]\n  5 [size=\"105914880\", alpha=\"0.06\", expect_size=\"42365952\"] \n  5 -> 16 [size =\"42365952\"]\n  5 -> 19 [size =\"42365952\"]\n  6 [size=\"123829760\", alpha=\"0.02\", expect_size=\"49531904\"] \n  6 -> 16 [size =\"49531904\"]\n  6 -> 19 [size =\"49531904\"]\n  7 [size=\"34001920\", alpha=\"0.02\", expect_size=\"13600768\"] \n  7 -> 16 [size =\"13600768\"]\n  7 -> 18 [size =\"13600768\"]\n  7 -> 20 [size =\"13600768\"]\n  8 [size=\"13975040\", alpha=\"0.08\", expect_size=\"5590016\"] \n  8 -> 16 [size =\"5590016\"]\n  8 -> 19 [size =\"5590016\"]\n  9 [size=\"62604800\", alpha=\"0.18\", expect_size=\"25041920\"] \n  9 -> 16 [size =\"25041920\"]\n  9 -> 19 [size =\"25041920\"]\n  10 [size=\"102325760\", alpha=\"0.11\", expect_size=\"40930304\"] \n  10 -> 18 [size =\"40930304\"]\n  10 -> 19 [size =\"40930304\"]\n  10 -> 20 [size =\"40930304\"]\n  11 [size=\"29760000\", alpha=\"0.11\", expect_size=\"11904000\"] \n  11 -> 17 [size =\"11904000\"]\n  11 -> 19 [size =\"11904000\"]\n  11 -> 20 [size =\"11904000\"]\n  12 [size=\"55808000\", alpha=\"0.01\", expect_size=\"22323200\"] \n  12 -> 16 [size =\"22323200\"]\n  12 -> 17 [size =\"22323200\"]\n  12 -> 19 [size =\"22323200\"]\n  12 -> 20 [size =\"22323200\"]\n  13 [size=\"81971200\", alpha=\"0.18\", expect_size=\"32788480\"] \n  13 -> 16 [size =\"32788480\"]\n  13 -> 17 [size =\"32788480\"]\n  13 -> 18 [size =\"32788480\"]\n  13 -> 19 [size =\"32788480\"]\n  14 [size=\"42150400\", alpha=\"0.14\", expect_size=\"16860160\"] \n  14 -> 18 [size =\"16860160\"]\n  14 -> 20 [size =\"16860160\"]\n  15 [size=\"27041280\", alpha=\"0.14\", expect_size=\"10816512\"] \n  15 -> 16 [size =\"10816512\"]\n  15 -> 18 [size =\"10816512\"]\n  15 -> 20 [size =\"10816512\"]\n  16 [size=\"63592960\", alpha=\"0.02\", expect_size=\"25437184\"] \n  17 [size=\"74460160\", alpha=\"0.15\", expect_size=\"29784064\"] \n  18 [size=\"85798400\", alpha=\"0.19\", expect_size=\"34319360\"] \n  19 [size=\"15802880\", alpha=\"0.02\", expect_size=\"6321152\"] \n  20 [size=\"123440640\", alpha=\"0.15\", expect_size=\"49376256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163976533\", alpha=\"0.19\", expect_size=\"49192960\"] \n  1 -> 2 [size =\"49192960\"]\n  2 [size=\"69311147\", alpha=\"0.17\", expect_size=\"20793344\"] \n  2 -> 3 [size =\"20793344\"]\n  3 [size=\"58579627\", alpha=\"0.15\", expect_size=\"17573888\"] \n  3 -> 4 [size =\"17573888\"]\n  3 -> 5 [size =\"17573888\"]\n  4 [size=\"117367467\", alpha=\"0.17\", expect_size=\"35210240\"] \n  4 -> 6 [size =\"35210240\"]\n  5 [size=\"30576640\", alpha=\"0.18\", expect_size=\"9172992\"] \n  5 -> 6 [size =\"9172992\"]\n  6 [size=\"158293333\", alpha=\"0.02\", expect_size=\"47488000\"] \n  6 -> 7 [size =\"47488000\"]\n  6 -> 8 [size =\"47488000\"]\n  7 [size=\"60736853\", alpha=\"0.04\", expect_size=\"18221056\"] \n  7 -> 9 [size =\"18221056\"]\n  8 [size=\"44226560\", alpha=\"0.11\", expect_size=\"13267968\"] \n  8 -> 9 [size =\"13267968\"]\n  9 [size=\"171943253\", alpha=\"0.14\", expect_size=\"51582976\"] \n  9 -> 10 [size =\"51582976\"]\n  10 [size=\"75031893\", alpha=\"0.14\", expect_size=\"22509568\"] \n  10 -> 11 [size =\"22509568\"]\n  10 -> 12 [size =\"22509568\"]\n  11 [size=\"118282240\", alpha=\"0.08\", expect_size=\"35484672\"] \n  11 -> 13 [size =\"35484672\"]\n  11 -> 14 [size =\"35484672\"]\n  12 [size=\"114107733\", alpha=\"0.06\", expect_size=\"34232320\"] \n  12 -> 13 [size =\"34232320\"]\n  12 -> 14 [size =\"34232320\"]\n  13 [size=\"87340373\", alpha=\"0.07\", expect_size=\"26202112\"] \n  14 [size=\"49534293\", alpha=\"0.04\", expect_size=\"14860288\"] \n  14 -> 15 [size =\"14860288\"]\n  15 [size=\"26214400\", alpha=\"0.07\", expect_size=\"7864320\"] \n  15 -> 16 [size =\"7864320\"]\n  16 [size=\"167748267\", alpha=\"0.16\", expect_size=\"50324480\"] \n  16 -> 17 [size =\"50324480\"]\n  17 [size=\"28521813\", alpha=\"0.19\", expect_size=\"8556544\"] \n  17 -> 18 [size =\"8556544\"]\n  17 -> 19 [size =\"8556544\"]\n  18 [size=\"61341013\", alpha=\"0.06\", expect_size=\"18402304\"] \n  18 -> 20 [size =\"18402304\"]\n  19 [size=\"144162133\", alpha=\"0.03\", expect_size=\"43248640\"] \n  19 -> 20 [size =\"43248640\"]\n  20 [size=\"99389440\", alpha=\"0.02\", expect_size=\"29816832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56301568\", alpha=\"0.09\", expect_size=\"28150784\"] \n  1 -> 14 [size =\"28150784\"]\n  1 -> 16 [size =\"28150784\"]\n  1 -> 17 [size =\"28150784\"]\n  2 [size=\"42313728\", alpha=\"0.18\", expect_size=\"21156864\"] \n  2 -> 13 [size =\"21156864\"]\n  2 -> 16 [size =\"21156864\"]\n  2 -> 17 [size =\"21156864\"]\n  2 -> 18 [size =\"21156864\"]\n  3 [size=\"50479104\", alpha=\"0.04\", expect_size=\"25239552\"] \n  3 -> 16 [size =\"25239552\"]\n  3 -> 16 [size =\"25239552\"]\n  3 -> 18 [size =\"25239552\"]\n  4 [size=\"77369344\", alpha=\"0.02\", expect_size=\"38684672\"] \n  4 -> 14 [size =\"38684672\"]\n  5 [size=\"34990080\", alpha=\"0.11\", expect_size=\"17495040\"] \n  5 -> 16 [size =\"17495040\"]\n  5 -> 18 [size =\"17495040\"]\n  6 [size=\"58042368\", alpha=\"0.15\", expect_size=\"29021184\"] \n  6 -> 13 [size =\"29021184\"]\n  6 -> 14 [size =\"29021184\"]\n  6 -> 16 [size =\"29021184\"]\n  6 -> 17 [size =\"29021184\"]\n  7 [size=\"55506944\", alpha=\"0.19\", expect_size=\"27753472\"] \n  8 [size=\"58157056\", alpha=\"0.07\", expect_size=\"29078528\"] \n  8 -> 13 [size =\"29078528\"]\n  8 -> 16 [size =\"29078528\"]\n  8 -> 20 [size =\"29078528\"]\n  9 [size=\"83664896\", alpha=\"0.16\", expect_size=\"41832448\"] \n  9 -> 13 [size =\"41832448\"]\n  9 -> 18 [size =\"41832448\"]\n  9 -> 20 [size =\"41832448\"]\n  10 [size=\"60762112\", alpha=\"0.18\", expect_size=\"30381056\"] \n  10 -> 13 [size =\"30381056\"]\n  10 -> 15 [size =\"30381056\"]\n  10 -> 19 [size =\"30381056\"]\n  11 [size=\"17584128\", alpha=\"0.14\", expect_size=\"8792064\"] \n  11 -> 13 [size =\"8792064\"]\n  11 -> 15 [size =\"8792064\"]\n  11 -> 20 [size =\"8792064\"]\n  12 [size=\"61319168\", alpha=\"0.12\", expect_size=\"30659584\"] \n  12 -> 16 [size =\"30659584\"]\n  12 -> 17 [size =\"30659584\"]\n  13 [size=\"52807680\", alpha=\"0.06\", expect_size=\"26403840\"] \n  14 [size=\"72615936\", alpha=\"0.04\", expect_size=\"36307968\"] \n  15 [size=\"81164288\", alpha=\"0.11\", expect_size=\"40582144\"] \n  16 [size=\"38715392\", alpha=\"0.16\", expect_size=\"19357696\"] \n  17 [size=\"15699968\", alpha=\"0.03\", expect_size=\"7849984\"] \n  18 [size=\"103192576\", alpha=\"0.05\", expect_size=\"51596288\"] \n  19 [size=\"41586688\", alpha=\"0.04\", expect_size=\"20793344\"] \n  20 [size=\"23652352\", alpha=\"0.17\", expect_size=\"11826176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110554453\", alpha=\"0.17\", expect_size=\"33166336\"] \n  1 -> 13 [size =\"33166336\"]\n  1 -> 18 [size =\"33166336\"]\n  1 -> 19 [size =\"33166336\"]\n  1 -> 20 [size =\"33166336\"]\n  2 [size=\"61504853\", alpha=\"0.10\", expect_size=\"18451456\"] \n  2 -> 13 [size =\"18451456\"]\n  2 -> 14 [size =\"18451456\"]\n  2 -> 15 [size =\"18451456\"]\n  2 -> 16 [size =\"18451456\"]\n  2 -> 17 [size =\"18451456\"]\n  2 -> 18 [size =\"18451456\"]\n  2 -> 20 [size =\"18451456\"]\n  3 [size=\"23098027\", alpha=\"0.05\", expect_size=\"6929408\"] \n  3 -> 13 [size =\"6929408\"]\n  3 -> 14 [size =\"6929408\"]\n  3 -> 16 [size =\"6929408\"]\n  3 -> 18 [size =\"6929408\"]\n  3 -> 20 [size =\"6929408\"]\n  4 [size=\"101376000\", alpha=\"0.14\", expect_size=\"30412800\"] \n  4 -> 13 [size =\"30412800\"]\n  4 -> 14 [size =\"30412800\"]\n  4 -> 17 [size =\"30412800\"]\n  4 -> 18 [size =\"30412800\"]\n  5 [size=\"134430720\", alpha=\"0.18\", expect_size=\"40329216\"] \n  5 -> 13 [size =\"40329216\"]\n  5 -> 14 [size =\"40329216\"]\n  5 -> 15 [size =\"40329216\"]\n  5 -> 18 [size =\"40329216\"]\n  5 -> 20 [size =\"40329216\"]\n  6 [size=\"22650880\", alpha=\"0.12\", expect_size=\"6795264\"] \n  6 -> 14 [size =\"6795264\"]\n  6 -> 14 [size =\"6795264\"]\n  7 [size=\"36631893\", alpha=\"0.17\", expect_size=\"10989568\"] \n  7 -> 14 [size =\"10989568\"]\n  7 -> 16 [size =\"10989568\"]\n  7 -> 18 [size =\"10989568\"]\n  8 [size=\"134939307\", alpha=\"0.06\", expect_size=\"40481792\"] \n  8 -> 14 [size =\"40481792\"]\n  8 -> 16 [size =\"40481792\"]\n  8 -> 18 [size =\"40481792\"]\n  8 -> 20 [size =\"40481792\"]\n  9 [size=\"126576640\", alpha=\"0.20\", expect_size=\"37972992\"] \n  9 -> 13 [size =\"37972992\"]\n  9 -> 14 [size =\"37972992\"]\n  9 -> 16 [size =\"37972992\"]\n  9 -> 18 [size =\"37972992\"]\n  9 -> 19 [size =\"37972992\"]\n  10 [size=\"120989013\", alpha=\"0.06\", expect_size=\"36296704\"] \n  10 -> 13 [size =\"36296704\"]\n  10 -> 15 [size =\"36296704\"]\n  10 -> 16 [size =\"36296704\"]\n  10 -> 18 [size =\"36296704\"]\n  11 [size=\"100130133\", alpha=\"0.05\", expect_size=\"30039040\"] \n  11 -> 13 [size =\"30039040\"]\n  11 -> 16 [size =\"30039040\"]\n  11 -> 18 [size =\"30039040\"]\n  11 -> 19 [size =\"30039040\"]\n  11 -> 20 [size =\"30039040\"]\n  12 [size=\"73390080\", alpha=\"0.07\", expect_size=\"22017024\"] \n  12 -> 13 [size =\"22017024\"]\n  12 -> 15 [size =\"22017024\"]\n  12 -> 18 [size =\"22017024\"]\n  12 -> 20 [size =\"22017024\"]\n  13 [size=\"151729493\", alpha=\"0.14\", expect_size=\"45518848\"] \n  14 [size=\"30105600\", alpha=\"0.09\", expect_size=\"9031680\"] \n  15 [size=\"138905600\", alpha=\"0.04\", expect_size=\"41671680\"] \n  16 [size=\"124863147\", alpha=\"0.17\", expect_size=\"37458944\"] \n  17 [size=\"58306560\", alpha=\"0.06\", expect_size=\"17491968\"] \n  18 [size=\"31508480\", alpha=\"0.17\", expect_size=\"9452544\"] \n  19 [size=\"79104000\", alpha=\"0.15\", expect_size=\"23731200\"] \n  20 [size=\"77813760\", alpha=\"0.12\", expect_size=\"23344128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38766080\", alpha=\"0.15\", expect_size=\"15506432\"] \n  1 -> 2 [size =\"15506432\"]\n  2 [size=\"19087360\", alpha=\"0.08\", expect_size=\"7634944\"] \n  2 -> 3 [size =\"7634944\"]\n  3 [size=\"43074560\", alpha=\"0.14\", expect_size=\"17229824\"] \n  3 -> 4 [size =\"17229824\"]\n  4 [size=\"69086720\", alpha=\"0.15\", expect_size=\"27634688\"] \n  4 -> 5 [size =\"27634688\"]\n  4 -> 6 [size =\"27634688\"]\n  5 [size=\"83443200\", alpha=\"0.03\", expect_size=\"33377280\"] \n  5 -> 7 [size =\"33377280\"]\n  5 -> 8 [size =\"33377280\"]\n  6 [size=\"44482560\", alpha=\"0.03\", expect_size=\"17793024\"] \n  7 [size=\"66900480\", alpha=\"0.05\", expect_size=\"26760192\"] \n  7 -> 9 [size =\"26760192\"]\n  8 [size=\"30781440\", alpha=\"0.02\", expect_size=\"12312576\"] \n  8 -> 10 [size =\"12312576\"]\n  9 [size=\"99550720\", alpha=\"0.02\", expect_size=\"39820288\"] \n  10 [size=\"68807680\", alpha=\"0.13\", expect_size=\"27523072\"] \n  10 -> 11 [size =\"27523072\"]\n  10 -> 12 [size =\"27523072\"]\n  11 [size=\"43755520\", alpha=\"0.16\", expect_size=\"17502208\"] \n  11 -> 13 [size =\"17502208\"]\n  12 [size=\"15982080\", alpha=\"0.16\", expect_size=\"6392832\"] \n  13 [size=\"61877760\", alpha=\"0.17\", expect_size=\"24751104\"] \n  13 -> 14 [size =\"24751104\"]\n  14 [size=\"28989440\", alpha=\"0.17\", expect_size=\"11595776\"] \n  14 -> 15 [size =\"11595776\"]\n  14 -> 16 [size =\"11595776\"]\n  15 [size=\"116748800\", alpha=\"0.12\", expect_size=\"46699520\"] \n  15 -> 17 [size =\"46699520\"]\n  16 [size=\"17152000\", alpha=\"0.03\", expect_size=\"6860800\"] \n  17 [size=\"36454400\", alpha=\"0.19\", expect_size=\"14581760\"] \n  17 -> 18 [size =\"14581760\"]\n  17 -> 19 [size =\"14581760\"]\n  18 [size=\"64619520\", alpha=\"0.08\", expect_size=\"25847808\"] \n  18 -> 20 [size =\"25847808\"]\n  19 [size=\"76147200\", alpha=\"0.01\", expect_size=\"30458880\"] \n  20 [size=\"89216000\", alpha=\"0.20\", expect_size=\"35686400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74460160\", alpha=\"0.12\", expect_size=\"29784064\"] \n  1 -> 5 [size =\"29784064\"]\n  1 -> 7 [size =\"29784064\"]\n  2 [size=\"41297920\", alpha=\"0.01\", expect_size=\"16519168\"] \n  2 -> 4 [size =\"16519168\"]\n  3 [size=\"26375680\", alpha=\"0.14\", expect_size=\"10550272\"] \n  3 -> 6 [size =\"10550272\"]\n  4 [size=\"48870400\", alpha=\"0.16\", expect_size=\"19548160\"] \n  4 -> 9 [size =\"19548160\"]\n  5 [size=\"127938560\", alpha=\"0.19\", expect_size=\"51175424\"] \n  5 -> 11 [size =\"51175424\"]\n  6 [size=\"124856320\", alpha=\"0.17\", expect_size=\"49942528\"] \n  6 -> 8 [size =\"49942528\"]\n  7 [size=\"58501120\", alpha=\"0.17\", expect_size=\"23400448\"] \n  7 -> 8 [size =\"23400448\"]\n  7 -> 9 [size =\"23400448\"]\n  7 -> 10 [size =\"23400448\"]\n  8 [size=\"59074560\", alpha=\"0.06\", expect_size=\"23629824\"] \n  8 -> 12 [size =\"23629824\"]\n  9 [size=\"69949440\", alpha=\"0.20\", expect_size=\"27979776\"] \n  9 -> 13 [size =\"27979776\"]\n  10 [size=\"53050880\", alpha=\"0.01\", expect_size=\"21220352\"] \n  10 -> 14 [size =\"21220352\"]\n  11 [size=\"49187840\", alpha=\"0.04\", expect_size=\"19675136\"] \n  11 -> 14 [size =\"19675136\"]\n  12 [size=\"121254400\", alpha=\"0.03\", expect_size=\"48501760\"] \n  12 -> 16 [size =\"48501760\"]\n  13 [size=\"124567040\", alpha=\"0.10\", expect_size=\"49826816\"] \n  13 -> 15 [size =\"49826816\"]\n  13 -> 16 [size =\"49826816\"]\n  14 [size=\"87774720\", alpha=\"0.15\", expect_size=\"35109888\"] \n  15 [size=\"63546880\", alpha=\"0.07\", expect_size=\"25418752\"] \n  15 -> 19 [size =\"25418752\"]\n  15 -> 20 [size =\"25418752\"]\n  16 [size=\"58119680\", alpha=\"0.13\", expect_size=\"23247872\"] \n  16 -> 17 [size =\"23247872\"]\n  16 -> 18 [size =\"23247872\"]\n  17 [size=\"37880320\", alpha=\"0.16\", expect_size=\"15152128\"] \n  18 [size=\"20544000\", alpha=\"0.11\", expect_size=\"8217600\"] \n  19 [size=\"53913600\", alpha=\"0.10\", expect_size=\"21565440\"] \n  20 [size=\"53488640\", alpha=\"0.15\", expect_size=\"21395456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143247360\", alpha=\"0.01\", expect_size=\"42974208\"] \n  1 -> 12 [size =\"42974208\"]\n  1 -> 14 [size =\"42974208\"]\n  1 -> 16 [size =\"42974208\"]\n  1 -> 17 [size =\"42974208\"]\n  1 -> 19 [size =\"42974208\"]\n  1 -> 20 [size =\"42974208\"]\n  2 [size=\"42618880\", alpha=\"0.13\", expect_size=\"12785664\"] \n  2 -> 14 [size =\"12785664\"]\n  2 -> 15 [size =\"12785664\"]\n  2 -> 16 [size =\"12785664\"]\n  2 -> 17 [size =\"12785664\"]\n  2 -> 19 [size =\"12785664\"]\n  2 -> 20 [size =\"12785664\"]\n  3 [size=\"57367893\", alpha=\"0.15\", expect_size=\"17210368\"] \n  3 -> 12 [size =\"17210368\"]\n  3 -> 17 [size =\"17210368\"]\n  3 -> 20 [size =\"17210368\"]\n  4 [size=\"45168640\", alpha=\"0.18\", expect_size=\"13550592\"] \n  4 -> 12 [size =\"13550592\"]\n  4 -> 13 [size =\"13550592\"]\n  4 -> 17 [size =\"13550592\"]\n  4 -> 19 [size =\"13550592\"]\n  4 -> 20 [size =\"13550592\"]\n  5 [size=\"49568427\", alpha=\"0.13\", expect_size=\"14870528\"] \n  5 -> 12 [size =\"14870528\"]\n  5 -> 19 [size =\"14870528\"]\n  6 [size=\"109141333\", alpha=\"0.14\", expect_size=\"32742400\"] \n  6 -> 12 [size =\"32742400\"]\n  6 -> 14 [size =\"32742400\"]\n  6 -> 18 [size =\"32742400\"]\n  6 -> 19 [size =\"32742400\"]\n  7 [size=\"80807253\", alpha=\"0.03\", expect_size=\"24242176\"] \n  7 -> 12 [size =\"24242176\"]\n  8 [size=\"52244480\", alpha=\"0.04\", expect_size=\"15673344\"] \n  8 -> 12 [size =\"15673344\"]\n  8 -> 13 [size =\"15673344\"]\n  8 -> 15 [size =\"15673344\"]\n  8 -> 19 [size =\"15673344\"]\n  8 -> 20 [size =\"15673344\"]\n  9 [size=\"20708693\", alpha=\"0.07\", expect_size=\"6212608\"] \n  9 -> 12 [size =\"6212608\"]\n  9 -> 15 [size =\"6212608\"]\n  9 -> 17 [size =\"6212608\"]\n  9 -> 19 [size =\"6212608\"]\n  9 -> 20 [size =\"6212608\"]\n  10 [size=\"158890667\", alpha=\"0.12\", expect_size=\"47667200\"] \n  10 -> 12 [size =\"47667200\"]\n  10 -> 15 [size =\"47667200\"]\n  10 -> 16 [size =\"47667200\"]\n  10 -> 17 [size =\"47667200\"]\n  10 -> 19 [size =\"47667200\"]\n  10 -> 20 [size =\"47667200\"]\n  11 [size=\"161573547\", alpha=\"0.06\", expect_size=\"48472064\"] \n  11 -> 12 [size =\"48472064\"]\n  11 -> 16 [size =\"48472064\"]\n  11 -> 19 [size =\"48472064\"]\n  11 -> 20 [size =\"48472064\"]\n  12 [size=\"171502933\", alpha=\"0.18\", expect_size=\"51450880\"] \n  13 [size=\"120343893\", alpha=\"0.02\", expect_size=\"36103168\"] \n  14 [size=\"82701653\", alpha=\"0.18\", expect_size=\"24810496\"] \n  15 [size=\"66088960\", alpha=\"0.10\", expect_size=\"19826688\"] \n  16 [size=\"165512533\", alpha=\"0.18\", expect_size=\"49653760\"] \n  17 [size=\"121245013\", alpha=\"0.02\", expect_size=\"36373504\"] \n  18 [size=\"142397440\", alpha=\"0.01\", expect_size=\"42719232\"] \n  19 [size=\"18544640\", alpha=\"0.14\", expect_size=\"5563392\"] \n  20 [size=\"74164907\", alpha=\"0.00\", expect_size=\"22249472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14684160\", alpha=\"0.11\", expect_size=\"7342080\"] \n  1 -> 2 [size =\"7342080\"]\n  2 [size=\"53864448\", alpha=\"0.03\", expect_size=\"26932224\"] \n  2 -> 3 [size =\"26932224\"]\n  3 [size=\"51589120\", alpha=\"0.11\", expect_size=\"25794560\"] \n  3 -> 4 [size =\"25794560\"]\n  4 [size=\"59664384\", alpha=\"0.20\", expect_size=\"29832192\"] \n  4 -> 5 [size =\"29832192\"]\n  5 [size=\"91926528\", alpha=\"0.17\", expect_size=\"45963264\"] \n  5 -> 6 [size =\"45963264\"]\n  6 [size=\"85278720\", alpha=\"0.03\", expect_size=\"42639360\"] \n  6 -> 7 [size =\"42639360\"]\n  7 [size=\"15714304\", alpha=\"0.20\", expect_size=\"7857152\"] \n  7 -> 8 [size =\"7857152\"]\n  8 [size=\"89073664\", alpha=\"0.13\", expect_size=\"44536832\"] \n  8 -> 9 [size =\"44536832\"]\n  9 [size=\"88625152\", alpha=\"0.13\", expect_size=\"44312576\"] \n  9 -> 10 [size =\"44312576\"]\n  10 [size=\"40706048\", alpha=\"0.18\", expect_size=\"20353024\"] \n  10 -> 11 [size =\"20353024\"]\n  11 [size=\"44355584\", alpha=\"0.04\", expect_size=\"22177792\"] \n  11 -> 12 [size =\"22177792\"]\n  12 [size=\"94937088\", alpha=\"0.13\", expect_size=\"47468544\"] \n  12 -> 13 [size =\"47468544\"]\n  13 [size=\"16269312\", alpha=\"0.04\", expect_size=\"8134656\"] \n  13 -> 14 [size =\"8134656\"]\n  14 [size=\"66590720\", alpha=\"0.15\", expect_size=\"33295360\"] \n  14 -> 15 [size =\"33295360\"]\n  15 [size=\"64448512\", alpha=\"0.04\", expect_size=\"32224256\"] \n  15 -> 16 [size =\"32224256\"]\n  16 [size=\"48984064\", alpha=\"0.15\", expect_size=\"24492032\"] \n  16 -> 17 [size =\"24492032\"]\n  17 [size=\"62502912\", alpha=\"0.03\", expect_size=\"31251456\"] \n  17 -> 18 [size =\"31251456\"]\n  18 [size=\"62496768\", alpha=\"0.11\", expect_size=\"31248384\"] \n  18 -> 19 [size =\"31248384\"]\n  19 [size=\"27310080\", alpha=\"0.14\", expect_size=\"13655040\"] \n  19 -> 20 [size =\"13655040\"]\n  20 [size=\"88895488\", alpha=\"0.08\", expect_size=\"44447744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10510336\", alpha=\"0.11\", expect_size=\"5255168\"] \n  1 -> 10 [size =\"5255168\"]\n  1 -> 11 [size =\"5255168\"]\n  1 -> 13 [size =\"5255168\"]\n  1 -> 15 [size =\"5255168\"]\n  2 [size=\"13381632\", alpha=\"0.20\", expect_size=\"6690816\"] \n  2 -> 14 [size =\"6690816\"]\n  2 -> 18 [size =\"6690816\"]\n  3 [size=\"13123584\", alpha=\"0.07\", expect_size=\"6561792\"] \n  3 -> 15 [size =\"6561792\"]\n  3 -> 16 [size =\"6561792\"]\n  3 -> 17 [size =\"6561792\"]\n  3 -> 18 [size =\"6561792\"]\n  4 [size=\"98478080\", alpha=\"0.14\", expect_size=\"49239040\"] \n  4 -> 15 [size =\"49239040\"]\n  5 [size=\"99964928\", alpha=\"0.13\", expect_size=\"49982464\"] \n  5 -> 11 [size =\"49982464\"]\n  5 -> 12 [size =\"49982464\"]\n  5 -> 17 [size =\"49982464\"]\n  5 -> 18 [size =\"49982464\"]\n  6 [size=\"24700928\", alpha=\"0.14\", expect_size=\"12350464\"] \n  6 -> 11 [size =\"12350464\"]\n  6 -> 16 [size =\"12350464\"]\n  6 -> 17 [size =\"12350464\"]\n  7 [size=\"49750016\", alpha=\"0.14\", expect_size=\"24875008\"] \n  7 -> 10 [size =\"24875008\"]\n  7 -> 15 [size =\"24875008\"]\n  8 [size=\"47859712\", alpha=\"0.08\", expect_size=\"23929856\"] \n  8 -> 12 [size =\"23929856\"]\n  8 -> 14 [size =\"23929856\"]\n  8 -> 15 [size =\"23929856\"]\n  8 -> 16 [size =\"23929856\"]\n  8 -> 17 [size =\"23929856\"]\n  8 -> 18 [size =\"23929856\"]\n  9 [size=\"51742720\", alpha=\"0.04\", expect_size=\"25871360\"] \n  9 -> 10 [size =\"25871360\"]\n  9 -> 12 [size =\"25871360\"]\n  9 -> 15 [size =\"25871360\"]\n  9 -> 16 [size =\"25871360\"]\n  9 -> 17 [size =\"25871360\"]\n  10 [size=\"38596608\", alpha=\"0.17\", expect_size=\"19298304\"] \n  10 -> 19 [size =\"19298304\"]\n  10 -> 20 [size =\"19298304\"]\n  11 [size=\"39927808\", alpha=\"0.13\", expect_size=\"19963904\"] \n  11 -> 20 [size =\"19963904\"]\n  12 [size=\"91652096\", alpha=\"0.00\", expect_size=\"45826048\"] \n  12 -> 19 [size =\"45826048\"]\n  13 [size=\"89931776\", alpha=\"0.06\", expect_size=\"44965888\"] \n  13 -> 20 [size =\"44965888\"]\n  14 [size=\"26826752\", alpha=\"0.18\", expect_size=\"13413376\"] \n  14 -> 19 [size =\"13413376\"]\n  15 [size=\"90984448\", alpha=\"0.06\", expect_size=\"45492224\"] \n  15 -> 20 [size =\"45492224\"]\n  16 [size=\"58075136\", alpha=\"0.03\", expect_size=\"29037568\"] \n  17 [size=\"30312448\", alpha=\"0.02\", expect_size=\"15156224\"] \n  17 -> 19 [size =\"15156224\"]\n  18 [size=\"98439168\", alpha=\"0.15\", expect_size=\"49219584\"] \n  18 -> 19 [size =\"49219584\"]\n  19 [size=\"39827456\", alpha=\"0.10\", expect_size=\"19913728\"] \n  20 [size=\"56535040\", alpha=\"0.17\", expect_size=\"28267520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30366720\", alpha=\"0.20\", expect_size=\"12146688\"] \n  1 -> 9 [size =\"12146688\"]\n  1 -> 10 [size =\"12146688\"]\n  1 -> 12 [size =\"12146688\"]\n  1 -> 13 [size =\"12146688\"]\n  2 [size=\"43745280\", alpha=\"0.12\", expect_size=\"17498112\"] \n  2 -> 11 [size =\"17498112\"]\n  2 -> 14 [size =\"17498112\"]\n  3 [size=\"96350720\", alpha=\"0.13\", expect_size=\"38540288\"] \n  3 -> 9 [size =\"38540288\"]\n  3 -> 10 [size =\"38540288\"]\n  4 [size=\"100989440\", alpha=\"0.13\", expect_size=\"40395776\"] \n  4 -> 10 [size =\"40395776\"]\n  4 -> 11 [size =\"40395776\"]\n  4 -> 13 [size =\"40395776\"]\n  5 [size=\"57848320\", alpha=\"0.04\", expect_size=\"23139328\"] \n  5 -> 8 [size =\"23139328\"]\n  5 -> 10 [size =\"23139328\"]\n  5 -> 11 [size =\"23139328\"]\n  5 -> 12 [size =\"23139328\"]\n  5 -> 13 [size =\"23139328\"]\n  5 -> 15 [size =\"23139328\"]\n  6 [size=\"78123520\", alpha=\"0.07\", expect_size=\"31249408\"] \n  6 -> 10 [size =\"31249408\"]\n  6 -> 11 [size =\"31249408\"]\n  6 -> 12 [size =\"31249408\"]\n  6 -> 12 [size =\"31249408\"]\n  6 -> 15 [size =\"31249408\"]\n  7 [size=\"17971200\", alpha=\"0.20\", expect_size=\"7188480\"] \n  7 -> 12 [size =\"7188480\"]\n  7 -> 13 [size =\"7188480\"]\n  8 [size=\"116318720\", alpha=\"0.06\", expect_size=\"46527488\"] \n  9 [size=\"54551040\", alpha=\"0.06\", expect_size=\"21820416\"] \n  9 -> 20 [size =\"21820416\"]\n  10 [size=\"19832320\", alpha=\"0.17\", expect_size=\"7932928\"] \n  10 -> 17 [size =\"7932928\"]\n  10 -> 20 [size =\"7932928\"]\n  11 [size=\"34452480\", alpha=\"0.10\", expect_size=\"13780992\"] \n  11 -> 18 [size =\"13780992\"]\n  12 [size=\"33858560\", alpha=\"0.19\", expect_size=\"13543424\"] \n  12 -> 17 [size =\"13543424\"]\n  12 -> 20 [size =\"13543424\"]\n  13 [size=\"104496640\", alpha=\"0.16\", expect_size=\"41798656\"] \n  13 -> 17 [size =\"41798656\"]\n  13 -> 18 [size =\"41798656\"]\n  14 [size=\"64640000\", alpha=\"0.10\", expect_size=\"25856000\"] \n  14 -> 17 [size =\"25856000\"]\n  14 -> 19 [size =\"25856000\"]\n  14 -> 20 [size =\"25856000\"]\n  15 [size=\"25861120\", alpha=\"0.05\", expect_size=\"10344448\"] \n  15 -> 16 [size =\"10344448\"]\n  15 -> 18 [size =\"10344448\"]\n  15 -> 19 [size =\"10344448\"]\n  15 -> 20 [size =\"10344448\"]\n  16 [size=\"48199680\", alpha=\"0.09\", expect_size=\"19279872\"] \n  17 [size=\"90872320\", alpha=\"0.16\", expect_size=\"36348928\"] \n  18 [size=\"88194560\", alpha=\"0.19\", expect_size=\"35277824\"] \n  19 [size=\"125232640\", alpha=\"0.07\", expect_size=\"50093056\"] \n  20 [size=\"45381120\", alpha=\"0.04\", expect_size=\"18152448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103575552\", alpha=\"0.15\", expect_size=\"51787776\"] \n  1 -> 2 [size =\"51787776\"]\n  2 [size=\"76148736\", alpha=\"0.01\", expect_size=\"38074368\"] \n  2 -> 3 [size =\"38074368\"]\n  3 [size=\"29868032\", alpha=\"0.12\", expect_size=\"14934016\"] \n  3 -> 4 [size =\"14934016\"]\n  4 [size=\"97067008\", alpha=\"0.14\", expect_size=\"48533504\"] \n  4 -> 5 [size =\"48533504\"]\n  5 [size=\"80324608\", alpha=\"0.19\", expect_size=\"40162304\"] \n  5 -> 6 [size =\"40162304\"]\n  6 [size=\"83742720\", alpha=\"0.09\", expect_size=\"41871360\"] \n  6 -> 7 [size =\"41871360\"]\n  7 [size=\"87111680\", alpha=\"0.06\", expect_size=\"43555840\"] \n  7 -> 8 [size =\"43555840\"]\n  8 [size=\"71733248\", alpha=\"0.07\", expect_size=\"35866624\"] \n  8 -> 9 [size =\"35866624\"]\n  9 [size=\"53702656\", alpha=\"0.12\", expect_size=\"26851328\"] \n  9 -> 10 [size =\"26851328\"]\n  10 [size=\"61734912\", alpha=\"0.11\", expect_size=\"30867456\"] \n  10 -> 11 [size =\"30867456\"]\n  11 [size=\"15783936\", alpha=\"0.03\", expect_size=\"7891968\"] \n  11 -> 12 [size =\"7891968\"]\n  12 [size=\"87162880\", alpha=\"0.10\", expect_size=\"43581440\"] \n  12 -> 13 [size =\"43581440\"]\n  13 [size=\"91486208\", alpha=\"0.04\", expect_size=\"45743104\"] \n  13 -> 14 [size =\"45743104\"]\n  14 [size=\"52971520\", alpha=\"0.09\", expect_size=\"26485760\"] \n  14 -> 15 [size =\"26485760\"]\n  15 [size=\"23336960\", alpha=\"0.18\", expect_size=\"11668480\"] \n  15 -> 16 [size =\"11668480\"]\n  16 [size=\"20041728\", alpha=\"0.06\", expect_size=\"10020864\"] \n  16 -> 17 [size =\"10020864\"]\n  17 [size=\"61370368\", alpha=\"0.08\", expect_size=\"30685184\"] \n  17 -> 18 [size =\"30685184\"]\n  18 [size=\"89894912\", alpha=\"0.10\", expect_size=\"44947456\"] \n  18 -> 19 [size =\"44947456\"]\n  19 [size=\"27326464\", alpha=\"0.04\", expect_size=\"13663232\"] \n  19 -> 20 [size =\"13663232\"]\n  20 [size=\"85852160\", alpha=\"0.12\", expect_size=\"42926080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28144640\", alpha=\"0.11\", expect_size=\"11257856\"] \n  1 -> 4 [size =\"11257856\"]\n  1 -> 5 [size =\"11257856\"]\n  2 [size=\"55372800\", alpha=\"0.17\", expect_size=\"22149120\"] \n  2 -> 4 [size =\"22149120\"]\n  2 -> 5 [size =\"22149120\"]\n  3 [size=\"62131200\", alpha=\"0.04\", expect_size=\"24852480\"] \n  3 -> 5 [size =\"24852480\"]\n  4 [size=\"66472960\", alpha=\"0.16\", expect_size=\"26589184\"] \n  4 -> 6 [size =\"26589184\"]\n  4 -> 7 [size =\"26589184\"]\n  4 -> 8 [size =\"26589184\"]\n  5 [size=\"112445440\", alpha=\"0.15\", expect_size=\"44978176\"] \n  5 -> 6 [size =\"44978176\"]\n  5 -> 7 [size =\"44978176\"]\n  6 [size=\"33031680\", alpha=\"0.06\", expect_size=\"13212672\"] \n  6 -> 9 [size =\"13212672\"]\n  6 -> 11 [size =\"13212672\"]\n  7 [size=\"14673920\", alpha=\"0.12\", expect_size=\"5869568\"] \n  7 -> 9 [size =\"5869568\"]\n  7 -> 10 [size =\"5869568\"]\n  8 [size=\"106083840\", alpha=\"0.10\", expect_size=\"42433536\"] \n  8 -> 10 [size =\"42433536\"]\n  9 [size=\"25123840\", alpha=\"0.17\", expect_size=\"10049536\"] \n  9 -> 12 [size =\"10049536\"]\n  9 -> 14 [size =\"10049536\"]\n  10 [size=\"74997760\", alpha=\"0.04\", expect_size=\"29999104\"] \n  10 -> 12 [size =\"29999104\"]\n  10 -> 14 [size =\"29999104\"]\n  11 [size=\"39493120\", alpha=\"0.10\", expect_size=\"15797248\"] \n  11 -> 13 [size =\"15797248\"]\n  12 [size=\"103027200\", alpha=\"0.06\", expect_size=\"41210880\"] \n  13 [size=\"84533760\", alpha=\"0.19\", expect_size=\"33813504\"] \n  13 -> 15 [size =\"33813504\"]\n  13 -> 16 [size =\"33813504\"]\n  13 -> 17 [size =\"33813504\"]\n  14 [size=\"109224960\", alpha=\"0.03\", expect_size=\"43689984\"] \n  14 -> 15 [size =\"43689984\"]\n  14 -> 17 [size =\"43689984\"]\n  15 [size=\"87257600\", alpha=\"0.16\", expect_size=\"34903040\"] \n  16 [size=\"57259520\", alpha=\"0.15\", expect_size=\"22903808\"] \n  16 -> 18 [size =\"22903808\"]\n  16 -> 19 [size =\"22903808\"]\n  16 -> 20 [size =\"22903808\"]\n  17 [size=\"90065920\", alpha=\"0.18\", expect_size=\"36026368\"] \n  17 -> 18 [size =\"36026368\"]\n  17 -> 20 [size =\"36026368\"]\n  18 [size=\"44605440\", alpha=\"0.19\", expect_size=\"17842176\"] \n  19 [size=\"103365120\", alpha=\"0.03\", expect_size=\"41346048\"] \n  20 [size=\"82979840\", alpha=\"0.15\", expect_size=\"33191936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38062080\", alpha=\"0.12\", expect_size=\"19031040\"] \n  1 -> 2 [size =\"19031040\"]\n  2 [size=\"76531712\", alpha=\"0.20\", expect_size=\"38265856\"] \n  2 -> 3 [size =\"38265856\"]\n  3 [size=\"16891904\", alpha=\"0.10\", expect_size=\"8445952\"] \n  3 -> 4 [size =\"8445952\"]\n  4 [size=\"76627968\", alpha=\"0.01\", expect_size=\"38313984\"] \n  4 -> 5 [size =\"38313984\"]\n  5 [size=\"74784768\", alpha=\"0.02\", expect_size=\"37392384\"] \n  5 -> 6 [size =\"37392384\"]\n  6 [size=\"101117952\", alpha=\"0.00\", expect_size=\"50558976\"] \n  6 -> 7 [size =\"50558976\"]\n  7 [size=\"27873280\", alpha=\"0.15\", expect_size=\"13936640\"] \n  7 -> 8 [size =\"13936640\"]\n  8 [size=\"16986112\", alpha=\"0.18\", expect_size=\"8493056\"] \n  8 -> 9 [size =\"8493056\"]\n  9 [size=\"19607552\", alpha=\"0.10\", expect_size=\"9803776\"] \n  9 -> 10 [size =\"9803776\"]\n  10 [size=\"50343936\", alpha=\"0.14\", expect_size=\"25171968\"] \n  10 -> 11 [size =\"25171968\"]\n  11 [size=\"19912704\", alpha=\"0.02\", expect_size=\"9956352\"] \n  11 -> 12 [size =\"9956352\"]\n  12 [size=\"75425792\", alpha=\"0.17\", expect_size=\"37712896\"] \n  12 -> 13 [size =\"37712896\"]\n  13 [size=\"74274816\", alpha=\"0.07\", expect_size=\"37137408\"] \n  13 -> 14 [size =\"37137408\"]\n  14 [size=\"26308608\", alpha=\"0.12\", expect_size=\"13154304\"] \n  14 -> 15 [size =\"13154304\"]\n  15 [size=\"28680192\", alpha=\"0.06\", expect_size=\"14340096\"] \n  15 -> 16 [size =\"14340096\"]\n  16 [size=\"37322752\", alpha=\"0.16\", expect_size=\"18661376\"] \n  16 -> 17 [size =\"18661376\"]\n  17 [size=\"38897664\", alpha=\"0.15\", expect_size=\"19448832\"] \n  17 -> 18 [size =\"19448832\"]\n  18 [size=\"13363200\", alpha=\"0.06\", expect_size=\"6681600\"] \n  18 -> 19 [size =\"6681600\"]\n  19 [size=\"96503808\", alpha=\"0.20\", expect_size=\"48251904\"] \n  19 -> 20 [size =\"48251904\"]\n  20 [size=\"50864128\", alpha=\"0.09\", expect_size=\"25432064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119552000\", alpha=\"0.13\", expect_size=\"35865600\"] \n  1 -> 8 [size =\"35865600\"]\n  1 -> 9 [size =\"35865600\"]\n  1 -> 10 [size =\"35865600\"]\n  1 -> 13 [size =\"35865600\"]\n  2 [size=\"67215360\", alpha=\"0.18\", expect_size=\"20164608\"] \n  2 -> 7 [size =\"20164608\"]\n  2 -> 8 [size =\"20164608\"]\n  2 -> 11 [size =\"20164608\"]\n  3 [size=\"160047787\", alpha=\"0.19\", expect_size=\"48014336\"] \n  3 -> 10 [size =\"48014336\"]\n  3 -> 12 [size =\"48014336\"]\n  4 [size=\"38690133\", alpha=\"0.01\", expect_size=\"11607040\"] \n  4 -> 8 [size =\"11607040\"]\n  4 -> 11 [size =\"11607040\"]\n  4 -> 12 [size =\"11607040\"]\n  5 [size=\"47878827\", alpha=\"0.02\", expect_size=\"14363648\"] \n  5 -> 10 [size =\"14363648\"]\n  5 -> 11 [size =\"14363648\"]\n  5 -> 12 [size =\"14363648\"]\n  6 [size=\"18520747\", alpha=\"0.10\", expect_size=\"5556224\"] \n  6 -> 8 [size =\"5556224\"]\n  6 -> 9 [size =\"5556224\"]\n  6 -> 11 [size =\"5556224\"]\n  6 -> 13 [size =\"5556224\"]\n  7 [size=\"96208213\", alpha=\"0.14\", expect_size=\"28862464\"] \n  7 -> 17 [size =\"28862464\"]\n  8 [size=\"88989013\", alpha=\"0.08\", expect_size=\"26696704\"] \n  8 -> 16 [size =\"26696704\"]\n  8 -> 17 [size =\"26696704\"]\n  9 [size=\"125515093\", alpha=\"0.20\", expect_size=\"37654528\"] \n  9 -> 17 [size =\"37654528\"]\n  9 -> 17 [size =\"37654528\"]\n  10 [size=\"165205333\", alpha=\"0.01\", expect_size=\"49561600\"] \n  10 -> 15 [size =\"49561600\"]\n  10 -> 16 [size =\"49561600\"]\n  11 [size=\"40837120\", alpha=\"0.16\", expect_size=\"12251136\"] \n  11 -> 15 [size =\"12251136\"]\n  11 -> 16 [size =\"12251136\"]\n  12 [size=\"143127893\", alpha=\"0.17\", expect_size=\"42938368\"] \n  12 -> 14 [size =\"42938368\"]\n  12 -> 16 [size =\"42938368\"]\n  13 [size=\"125173760\", alpha=\"0.16\", expect_size=\"37552128\"] \n  13 -> 14 [size =\"37552128\"]\n  13 -> 15 [size =\"37552128\"]\n  13 -> 17 [size =\"37552128\"]\n  13 -> 18 [size =\"37552128\"]\n  14 [size=\"118678187\", alpha=\"0.18\", expect_size=\"35603456\"] \n  14 -> 20 [size =\"35603456\"]\n  15 [size=\"128126293\", alpha=\"0.14\", expect_size=\"38437888\"] \n  15 -> 19 [size =\"38437888\"]\n  16 [size=\"144080213\", alpha=\"0.13\", expect_size=\"43224064\"] \n  17 [size=\"62358187\", alpha=\"0.12\", expect_size=\"18707456\"] \n  17 -> 19 [size =\"18707456\"]\n  18 [size=\"17981440\", alpha=\"0.02\", expect_size=\"5394432\"] \n  18 -> 19 [size =\"5394432\"]\n  18 -> 20 [size =\"5394432\"]\n  19 [size=\"84398080\", alpha=\"0.19\", expect_size=\"25319424\"] \n  20 [size=\"83278507\", alpha=\"0.02\", expect_size=\"24983552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23986176\", alpha=\"0.10\", expect_size=\"11993088\"] \n  1 -> 16 [size =\"11993088\"]\n  2 [size=\"76027904\", alpha=\"0.08\", expect_size=\"38013952\"] \n  2 -> 14 [size =\"38013952\"]\n  2 -> 15 [size =\"38013952\"]\n  3 [size=\"71215104\", alpha=\"0.18\", expect_size=\"35607552\"] \n  3 -> 17 [size =\"35607552\"]\n  3 -> 20 [size =\"35607552\"]\n  4 [size=\"83073024\", alpha=\"0.15\", expect_size=\"41536512\"] \n  4 -> 14 [size =\"41536512\"]\n  4 -> 18 [size =\"41536512\"]\n  5 [size=\"64593920\", alpha=\"0.01\", expect_size=\"32296960\"] \n  5 -> 14 [size =\"32296960\"]\n  5 -> 18 [size =\"32296960\"]\n  6 [size=\"87474176\", alpha=\"0.16\", expect_size=\"43737088\"] \n  6 -> 16 [size =\"43737088\"]\n  6 -> 19 [size =\"43737088\"]\n  7 [size=\"63940608\", alpha=\"0.08\", expect_size=\"31970304\"] \n  7 -> 14 [size =\"31970304\"]\n  8 [size=\"73383936\", alpha=\"0.18\", expect_size=\"36691968\"] \n  8 -> 14 [size =\"36691968\"]\n  9 [size=\"46917632\", alpha=\"0.07\", expect_size=\"23458816\"] \n  9 -> 14 [size =\"23458816\"]\n  9 -> 15 [size =\"23458816\"]\n  9 -> 16 [size =\"23458816\"]\n  9 -> 18 [size =\"23458816\"]\n  10 [size=\"98416640\", alpha=\"0.16\", expect_size=\"49208320\"] \n  10 -> 16 [size =\"49208320\"]\n  10 -> 17 [size =\"49208320\"]\n  10 -> 20 [size =\"49208320\"]\n  11 [size=\"63361024\", alpha=\"0.03\", expect_size=\"31680512\"] \n  11 -> 17 [size =\"31680512\"]\n  11 -> 18 [size =\"31680512\"]\n  12 [size=\"17135616\", alpha=\"0.00\", expect_size=\"8567808\"] \n  12 -> 16 [size =\"8567808\"]\n  12 -> 18 [size =\"8567808\"]\n  13 [size=\"54704128\", alpha=\"0.11\", expect_size=\"27352064\"] \n  13 -> 14 [size =\"27352064\"]\n  14 [size=\"46739456\", alpha=\"0.16\", expect_size=\"23369728\"] \n  15 [size=\"20944896\", alpha=\"0.15\", expect_size=\"10472448\"] \n  16 [size=\"24948736\", alpha=\"0.05\", expect_size=\"12474368\"] \n  17 [size=\"101709824\", alpha=\"0.16\", expect_size=\"50854912\"] \n  18 [size=\"43745280\", alpha=\"0.09\", expect_size=\"21872640\"] \n  19 [size=\"33232896\", alpha=\"0.14\", expect_size=\"16616448\"] \n  20 [size=\"65517568\", alpha=\"0.18\", expect_size=\"32758784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46426112\", alpha=\"0.02\", expect_size=\"23213056\"] \n  1 -> 8 [size =\"23213056\"]\n  1 -> 10 [size =\"23213056\"]\n  2 [size=\"104044544\", alpha=\"0.04\", expect_size=\"52022272\"] \n  2 -> 12 [size =\"52022272\"]\n  3 [size=\"51873792\", alpha=\"0.01\", expect_size=\"25936896\"] \n  3 -> 7 [size =\"25936896\"]\n  3 -> 9 [size =\"25936896\"]\n  3 -> 13 [size =\"25936896\"]\n  4 [size=\"42131456\", alpha=\"0.08\", expect_size=\"21065728\"] \n  4 -> 10 [size =\"21065728\"]\n  4 -> 11 [size =\"21065728\"]\n  4 -> 13 [size =\"21065728\"]\n  5 [size=\"49371136\", alpha=\"0.17\", expect_size=\"24685568\"] \n  5 -> 7 [size =\"24685568\"]\n  5 -> 9 [size =\"24685568\"]\n  5 -> 13 [size =\"24685568\"]\n  6 [size=\"71370752\", alpha=\"0.04\", expect_size=\"35685376\"] \n  6 -> 13 [size =\"35685376\"]\n  7 [size=\"86132736\", alpha=\"0.12\", expect_size=\"43066368\"] \n  8 [size=\"91643904\", alpha=\"0.14\", expect_size=\"45821952\"] \n  8 -> 15 [size =\"45821952\"]\n  8 -> 16 [size =\"45821952\"]\n  9 [size=\"14551040\", alpha=\"0.09\", expect_size=\"7275520\"] \n  9 -> 16 [size =\"7275520\"]\n  9 -> 19 [size =\"7275520\"]\n  10 [size=\"31852544\", alpha=\"0.14\", expect_size=\"15926272\"] \n  10 -> 14 [size =\"15926272\"]\n  10 -> 18 [size =\"15926272\"]\n  10 -> 19 [size =\"15926272\"]\n  11 [size=\"77778944\", alpha=\"0.17\", expect_size=\"38889472\"] \n  12 [size=\"86337536\", alpha=\"0.02\", expect_size=\"43168768\"] \n  12 -> 14 [size =\"43168768\"]\n  12 -> 16 [size =\"43168768\"]\n  12 -> 17 [size =\"43168768\"]\n  12 -> 18 [size =\"43168768\"]\n  13 [size=\"12730368\", alpha=\"0.04\", expect_size=\"6365184\"] \n  13 -> 15 [size =\"6365184\"]\n  13 -> 17 [size =\"6365184\"]\n  13 -> 18 [size =\"6365184\"]\n  14 [size=\"18247680\", alpha=\"0.15\", expect_size=\"9123840\"] \n  15 [size=\"55232512\", alpha=\"0.12\", expect_size=\"27616256\"] \n  16 [size=\"42616832\", alpha=\"0.16\", expect_size=\"21308416\"] \n  16 -> 20 [size =\"21308416\"]\n  17 [size=\"60325888\", alpha=\"0.15\", expect_size=\"30162944\"] \n  18 [size=\"24885248\", alpha=\"0.01\", expect_size=\"12442624\"] \n  19 [size=\"89987072\", alpha=\"0.03\", expect_size=\"44993536\"] \n  19 -> 20 [size =\"44993536\"]\n  20 [size=\"37070848\", alpha=\"0.13\", expect_size=\"18535424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112687787\", alpha=\"0.15\", expect_size=\"33806336\"] \n  1 -> 2 [size =\"33806336\"]\n  2 [size=\"108492800\", alpha=\"0.02\", expect_size=\"32547840\"] \n  2 -> 3 [size =\"32547840\"]\n  3 [size=\"140499627\", alpha=\"0.19\", expect_size=\"42149888\"] \n  3 -> 4 [size =\"42149888\"]\n  4 [size=\"83855360\", alpha=\"0.07\", expect_size=\"25156608\"] \n  4 -> 5 [size =\"25156608\"]\n  5 [size=\"90429440\", alpha=\"0.16\", expect_size=\"27128832\"] \n  5 -> 6 [size =\"27128832\"]\n  6 [size=\"158682453\", alpha=\"0.01\", expect_size=\"47604736\"] \n  6 -> 7 [size =\"47604736\"]\n  7 [size=\"114486613\", alpha=\"0.19\", expect_size=\"34345984\"] \n  7 -> 8 [size =\"34345984\"]\n  8 [size=\"30958933\", alpha=\"0.07\", expect_size=\"9287680\"] \n  8 -> 9 [size =\"9287680\"]\n  9 [size=\"106687147\", alpha=\"0.02\", expect_size=\"32006144\"] \n  9 -> 10 [size =\"32006144\"]\n  10 [size=\"123856213\", alpha=\"0.09\", expect_size=\"37156864\"] \n  10 -> 11 [size =\"37156864\"]\n  11 [size=\"32815787\", alpha=\"0.10\", expect_size=\"9844736\"] \n  11 -> 12 [size =\"9844736\"]\n  12 [size=\"147394560\", alpha=\"0.07\", expect_size=\"44218368\"] \n  12 -> 13 [size =\"44218368\"]\n  13 [size=\"165113173\", alpha=\"0.03\", expect_size=\"49533952\"] \n  13 -> 14 [size =\"49533952\"]\n  14 [size=\"156132693\", alpha=\"0.17\", expect_size=\"46839808\"] \n  14 -> 15 [size =\"46839808\"]\n  15 [size=\"56002560\", alpha=\"0.11\", expect_size=\"16800768\"] \n  15 -> 16 [size =\"16800768\"]\n  16 [size=\"21906773\", alpha=\"0.13\", expect_size=\"6572032\"] \n  16 -> 17 [size =\"6572032\"]\n  17 [size=\"26101760\", alpha=\"0.19\", expect_size=\"7830528\"] \n  17 -> 18 [size =\"7830528\"]\n  18 [size=\"173407573\", alpha=\"0.03\", expect_size=\"52022272\"] \n  18 -> 19 [size =\"52022272\"]\n  19 [size=\"71731200\", alpha=\"0.10\", expect_size=\"21519360\"] \n  19 -> 20 [size =\"21519360\"]\n  20 [size=\"84060160\", alpha=\"0.13\", expect_size=\"25218048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49116160\", alpha=\"0.17\", expect_size=\"19646464\"] \n  1 -> 5 [size =\"19646464\"]\n  1 -> 6 [size =\"19646464\"]\n  2 [size=\"117002240\", alpha=\"0.18\", expect_size=\"46800896\"] \n  2 -> 5 [size =\"46800896\"]\n  3 [size=\"113507840\", alpha=\"0.01\", expect_size=\"45403136\"] \n  3 -> 6 [size =\"45403136\"]\n  4 [size=\"48471040\", alpha=\"0.17\", expect_size=\"19388416\"] \n  4 -> 7 [size =\"19388416\"]\n  4 -> 8 [size =\"19388416\"]\n  5 [size=\"100375040\", alpha=\"0.07\", expect_size=\"40150016\"] \n  6 [size=\"105287680\", alpha=\"0.03\", expect_size=\"42115072\"] \n  6 -> 11 [size =\"42115072\"]\n  7 [size=\"79987200\", alpha=\"0.14\", expect_size=\"31994880\"] \n  7 -> 9 [size =\"31994880\"]\n  7 -> 10 [size =\"31994880\"]\n  7 -> 12 [size =\"31994880\"]\n  8 [size=\"20408320\", alpha=\"0.14\", expect_size=\"8163328\"] \n  8 -> 9 [size =\"8163328\"]\n  8 -> 11 [size =\"8163328\"]\n  8 -> 12 [size =\"8163328\"]\n  9 [size=\"30776320\", alpha=\"0.09\", expect_size=\"12310528\"] \n  9 -> 13 [size =\"12310528\"]\n  9 -> 15 [size =\"12310528\"]\n  9 -> 16 [size =\"12310528\"]\n  10 [size=\"13598720\", alpha=\"0.14\", expect_size=\"5439488\"] \n  10 -> 16 [size =\"5439488\"]\n  11 [size=\"22868480\", alpha=\"0.06\", expect_size=\"9147392\"] \n  11 -> 14 [size =\"9147392\"]\n  12 [size=\"125058560\", alpha=\"0.15\", expect_size=\"50023424\"] \n  12 -> 14 [size =\"50023424\"]\n  12 -> 15 [size =\"50023424\"]\n  13 [size=\"115325440\", alpha=\"0.13\", expect_size=\"46130176\"] \n  13 -> 17 [size =\"46130176\"]\n  13 -> 19 [size =\"46130176\"]\n  14 [size=\"120087040\", alpha=\"0.08\", expect_size=\"48034816\"] \n  14 -> 18 [size =\"48034816\"]\n  15 [size=\"105121280\", alpha=\"0.18\", expect_size=\"42048512\"] \n  16 [size=\"29114880\", alpha=\"0.01\", expect_size=\"11645952\"] \n  16 -> 18 [size =\"11645952\"]\n  16 -> 19 [size =\"11645952\"]\n  17 [size=\"46814720\", alpha=\"0.17\", expect_size=\"18725888\"] \n  17 -> 20 [size =\"18725888\"]\n  18 [size=\"14154240\", alpha=\"0.11\", expect_size=\"5661696\"] \n  19 [size=\"94809600\", alpha=\"0.03\", expect_size=\"37923840\"] \n  20 [size=\"31421440\", alpha=\"0.08\", expect_size=\"12568576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17515520\", alpha=\"0.04\", expect_size=\"7006208\"] \n  1 -> 3 [size =\"7006208\"]\n  1 -> 4 [size =\"7006208\"]\n  2 [size=\"28705280\", alpha=\"0.03\", expect_size=\"11482112\"] \n  2 -> 3 [size =\"11482112\"]\n  2 -> 4 [size =\"11482112\"]\n  3 [size=\"46709760\", alpha=\"0.08\", expect_size=\"18683904\"] \n  3 -> 5 [size =\"18683904\"]\n  3 -> 6 [size =\"18683904\"]\n  4 [size=\"84293120\", alpha=\"0.11\", expect_size=\"33717248\"] \n  4 -> 6 [size =\"33717248\"]\n  5 [size=\"103441920\", alpha=\"0.19\", expect_size=\"41376768\"] \n  5 -> 7 [size =\"41376768\"]\n  5 -> 8 [size =\"41376768\"]\n  6 [size=\"119191040\", alpha=\"0.08\", expect_size=\"47676416\"] \n  6 -> 8 [size =\"47676416\"]\n  7 [size=\"73635840\", alpha=\"0.07\", expect_size=\"29454336\"] \n  7 -> 9 [size =\"29454336\"]\n  7 -> 10 [size =\"29454336\"]\n  8 [size=\"45742080\", alpha=\"0.08\", expect_size=\"18296832\"] \n  8 -> 9 [size =\"18296832\"]\n  9 [size=\"108341760\", alpha=\"0.07\", expect_size=\"43336704\"] \n  9 -> 11 [size =\"43336704\"]\n  10 [size=\"114705920\", alpha=\"0.12\", expect_size=\"45882368\"] \n  11 [size=\"15406080\", alpha=\"0.03\", expect_size=\"6162432\"] \n  11 -> 12 [size =\"6162432\"]\n  11 -> 13 [size =\"6162432\"]\n  12 [size=\"41858560\", alpha=\"0.11\", expect_size=\"16743424\"] \n  12 -> 14 [size =\"16743424\"]\n  13 [size=\"57459200\", alpha=\"0.11\", expect_size=\"22983680\"] \n  14 [size=\"104273920\", alpha=\"0.19\", expect_size=\"41709568\"] \n  14 -> 15 [size =\"41709568\"]\n  14 -> 16 [size =\"41709568\"]\n  15 [size=\"49326080\", alpha=\"0.02\", expect_size=\"19730432\"] \n  15 -> 17 [size =\"19730432\"]\n  16 [size=\"44856320\", alpha=\"0.18\", expect_size=\"17942528\"] \n  16 -> 17 [size =\"17942528\"]\n  17 [size=\"91146240\", alpha=\"0.07\", expect_size=\"36458496\"] \n  17 -> 18 [size =\"36458496\"]\n  18 [size=\"14888960\", alpha=\"0.07\", expect_size=\"5955584\"] \n  18 -> 19 [size =\"5955584\"]\n  19 [size=\"59187200\", alpha=\"0.12\", expect_size=\"23674880\"] \n  19 -> 20 [size =\"23674880\"]\n  20 [size=\"101045760\", alpha=\"0.05\", expect_size=\"40418304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23291904\", alpha=\"0.03\", expect_size=\"11645952\"] \n  1 -> 2 [size =\"11645952\"]\n  1 -> 3 [size =\"11645952\"]\n  2 [size=\"56657920\", alpha=\"0.10\", expect_size=\"28328960\"] \n  2 -> 4 [size =\"28328960\"]\n  3 [size=\"20033536\", alpha=\"0.20\", expect_size=\"10016768\"] \n  4 [size=\"10518528\", alpha=\"0.10\", expect_size=\"5259264\"] \n  4 -> 5 [size =\"5259264\"]\n  4 -> 6 [size =\"5259264\"]\n  5 [size=\"77864960\", alpha=\"0.07\", expect_size=\"38932480\"] \n  6 [size=\"17272832\", alpha=\"0.02\", expect_size=\"8636416\"] \n  6 -> 7 [size =\"8636416\"]\n  7 [size=\"48238592\", alpha=\"0.03\", expect_size=\"24119296\"] \n  7 -> 8 [size =\"24119296\"]\n  8 [size=\"38875136\", alpha=\"0.13\", expect_size=\"19437568\"] \n  8 -> 9 [size =\"19437568\"]\n  8 -> 10 [size =\"19437568\"]\n  9 [size=\"15202304\", alpha=\"0.04\", expect_size=\"7601152\"] \n  9 -> 11 [size =\"7601152\"]\n  9 -> 12 [size =\"7601152\"]\n  10 [size=\"83060736\", alpha=\"0.16\", expect_size=\"41530368\"] \n  10 -> 11 [size =\"41530368\"]\n  11 [size=\"78886912\", alpha=\"0.06\", expect_size=\"39443456\"] \n  11 -> 14 [size =\"39443456\"]\n  12 [size=\"91854848\", alpha=\"0.14\", expect_size=\"45927424\"] \n  12 -> 13 [size =\"45927424\"]\n  12 -> 14 [size =\"45927424\"]\n  13 [size=\"45752320\", alpha=\"0.07\", expect_size=\"22876160\"] \n  13 -> 15 [size =\"22876160\"]\n  13 -> 16 [size =\"22876160\"]\n  14 [size=\"45447168\", alpha=\"0.10\", expect_size=\"22723584\"] \n  14 -> 16 [size =\"22723584\"]\n  15 [size=\"91043840\", alpha=\"0.01\", expect_size=\"45521920\"] \n  15 -> 17 [size =\"45521920\"]\n  16 [size=\"28846080\", alpha=\"0.10\", expect_size=\"14423040\"] \n  16 -> 17 [size =\"14423040\"]\n  17 [size=\"39211008\", alpha=\"0.17\", expect_size=\"19605504\"] \n  17 -> 18 [size =\"19605504\"]\n  17 -> 19 [size =\"19605504\"]\n  18 [size=\"55570432\", alpha=\"0.14\", expect_size=\"27785216\"] \n  18 -> 20 [size =\"27785216\"]\n  19 [size=\"20979712\", alpha=\"0.06\", expect_size=\"10489856\"] \n  19 -> 20 [size =\"10489856\"]\n  20 [size=\"41705472\", alpha=\"0.07\", expect_size=\"20852736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102039552\", alpha=\"0.14\", expect_size=\"51019776\"] \n  1 -> 5 [size =\"51019776\"]\n  1 -> 8 [size =\"51019776\"]\n  1 -> 8 [size =\"51019776\"]\n  2 [size=\"94218240\", alpha=\"0.18\", expect_size=\"47109120\"] \n  2 -> 6 [size =\"47109120\"]\n  2 -> 7 [size =\"47109120\"]\n  2 -> 8 [size =\"47109120\"]\n  3 [size=\"34754560\", alpha=\"0.10\", expect_size=\"17377280\"] \n  3 -> 6 [size =\"17377280\"]\n  4 [size=\"62898176\", alpha=\"0.19\", expect_size=\"31449088\"] \n  4 -> 5 [size =\"31449088\"]\n  4 -> 7 [size =\"31449088\"]\n  4 -> 8 [size =\"31449088\"]\n  5 [size=\"47917056\", alpha=\"0.06\", expect_size=\"23958528\"] \n  5 -> 9 [size =\"23958528\"]\n  5 -> 11 [size =\"23958528\"]\n  6 [size=\"20295680\", alpha=\"0.07\", expect_size=\"10147840\"] \n  6 -> 9 [size =\"10147840\"]\n  7 [size=\"99297280\", alpha=\"0.10\", expect_size=\"49648640\"] \n  7 -> 9 [size =\"49648640\"]\n  7 -> 10 [size =\"49648640\"]\n  8 [size=\"32251904\", alpha=\"0.01\", expect_size=\"16125952\"] \n  8 -> 9 [size =\"16125952\"]\n  8 -> 10 [size =\"16125952\"]\n  9 [size=\"42625024\", alpha=\"0.16\", expect_size=\"21312512\"] \n  9 -> 13 [size =\"21312512\"]\n  9 -> 14 [size =\"21312512\"]\n  9 -> 15 [size =\"21312512\"]\n  10 [size=\"58548224\", alpha=\"0.03\", expect_size=\"29274112\"] \n  10 -> 12 [size =\"29274112\"]\n  10 -> 14 [size =\"29274112\"]\n  10 -> 15 [size =\"29274112\"]\n  11 [size=\"49264640\", alpha=\"0.10\", expect_size=\"24632320\"] \n  11 -> 13 [size =\"24632320\"]\n  11 -> 14 [size =\"24632320\"]\n  11 -> 15 [size =\"24632320\"]\n  12 [size=\"20666368\", alpha=\"0.10\", expect_size=\"10333184\"] \n  12 -> 16 [size =\"10333184\"]\n  13 [size=\"104298496\", alpha=\"0.15\", expect_size=\"52149248\"] \n  13 -> 16 [size =\"52149248\"]\n  13 -> 18 [size =\"52149248\"]\n  14 [size=\"55863296\", alpha=\"0.02\", expect_size=\"27931648\"] \n  14 -> 16 [size =\"27931648\"]\n  14 -> 17 [size =\"27931648\"]\n  14 -> 18 [size =\"27931648\"]\n  15 [size=\"51611648\", alpha=\"0.10\", expect_size=\"25805824\"] \n  15 -> 16 [size =\"25805824\"]\n  16 [size=\"78538752\", alpha=\"0.18\", expect_size=\"39269376\"] \n  16 -> 19 [size =\"39269376\"]\n  16 -> 20 [size =\"39269376\"]\n  17 [size=\"19216384\", alpha=\"0.12\", expect_size=\"9608192\"] \n  17 -> 19 [size =\"9608192\"]\n  18 [size=\"64081920\", alpha=\"0.07\", expect_size=\"32040960\"] \n  18 -> 19 [size =\"32040960\"]\n  18 -> 20 [size =\"32040960\"]\n  19 [size=\"69675008\", alpha=\"0.13\", expect_size=\"34837504\"] \n  20 [size=\"52244480\", alpha=\"0.10\", expect_size=\"26122240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128345600\", alpha=\"0.04\", expect_size=\"51338240\"] \n  1 -> 3 [size =\"51338240\"]\n  2 [size=\"130099200\", alpha=\"0.05\", expect_size=\"52039680\"] \n  2 -> 3 [size =\"52039680\"]\n  3 [size=\"65013760\", alpha=\"0.06\", expect_size=\"26005504\"] \n  3 -> 4 [size =\"26005504\"]\n  4 [size=\"86917120\", alpha=\"0.03\", expect_size=\"34766848\"] \n  4 -> 5 [size =\"34766848\"]\n  4 -> 6 [size =\"34766848\"]\n  5 [size=\"61416960\", alpha=\"0.09\", expect_size=\"24566784\"] \n  5 -> 7 [size =\"24566784\"]\n  6 [size=\"96235520\", alpha=\"0.05\", expect_size=\"38494208\"] \n  7 [size=\"106388480\", alpha=\"0.18\", expect_size=\"42555392\"] \n  7 -> 8 [size =\"42555392\"]\n  8 [size=\"14287360\", alpha=\"0.02\", expect_size=\"5714944\"] \n  8 -> 9 [size =\"5714944\"]\n  9 [size=\"125094400\", alpha=\"0.13\", expect_size=\"50037760\"] \n  9 -> 10 [size =\"50037760\"]\n  9 -> 11 [size =\"50037760\"]\n  10 [size=\"128683520\", alpha=\"0.05\", expect_size=\"51473408\"] \n  10 -> 12 [size =\"51473408\"]\n  11 [size=\"51965440\", alpha=\"0.15\", expect_size=\"20786176\"] \n  11 -> 12 [size =\"20786176\"]\n  12 [size=\"78394880\", alpha=\"0.00\", expect_size=\"31357952\"] \n  12 -> 13 [size =\"31357952\"]\n  12 -> 14 [size =\"31357952\"]\n  13 [size=\"108922880\", alpha=\"0.15\", expect_size=\"43569152\"] \n  14 [size=\"29189120\", alpha=\"0.03\", expect_size=\"11675648\"] \n  14 -> 15 [size =\"11675648\"]\n  15 [size=\"46458880\", alpha=\"0.16\", expect_size=\"18583552\"] \n  15 -> 16 [size =\"18583552\"]\n  15 -> 17 [size =\"18583552\"]\n  16 [size=\"100774400\", alpha=\"0.18\", expect_size=\"40309760\"] \n  16 -> 19 [size =\"40309760\"]\n  17 [size=\"127408640\", alpha=\"0.05\", expect_size=\"50963456\"] \n  17 -> 18 [size =\"50963456\"]\n  17 -> 19 [size =\"50963456\"]\n  18 [size=\"116963840\", alpha=\"0.20\", expect_size=\"46785536\"] \n  19 [size=\"129937920\", alpha=\"0.00\", expect_size=\"51975168\"] \n  19 -> 20 [size =\"51975168\"]\n  20 [size=\"91481600\", alpha=\"0.15\", expect_size=\"36592640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60391424\", alpha=\"0.05\", expect_size=\"30195712\"] \n  1 -> 4 [size =\"30195712\"]\n  2 [size=\"62275584\", alpha=\"0.17\", expect_size=\"31137792\"] \n  2 -> 5 [size =\"31137792\"]\n  3 [size=\"100384768\", alpha=\"0.18\", expect_size=\"50192384\"] \n  3 -> 5 [size =\"50192384\"]\n  3 -> 6 [size =\"50192384\"]\n  3 -> 7 [size =\"50192384\"]\n  4 [size=\"18663424\", alpha=\"0.14\", expect_size=\"9331712\"] \n  4 -> 8 [size =\"9331712\"]\n  5 [size=\"18208768\", alpha=\"0.17\", expect_size=\"9104384\"] \n  6 [size=\"32100352\", alpha=\"0.07\", expect_size=\"16050176\"] \n  6 -> 9 [size =\"16050176\"]\n  7 [size=\"67508224\", alpha=\"0.11\", expect_size=\"33754112\"] \n  7 -> 10 [size =\"33754112\"]\n  8 [size=\"71311360\", alpha=\"0.16\", expect_size=\"35655680\"] \n  9 [size=\"22407168\", alpha=\"0.04\", expect_size=\"11203584\"] \n  9 -> 11 [size =\"11203584\"]\n  10 [size=\"53116928\", alpha=\"0.10\", expect_size=\"26558464\"] \n  10 -> 12 [size =\"26558464\"]\n  10 -> 13 [size =\"26558464\"]\n  11 [size=\"92743680\", alpha=\"0.08\", expect_size=\"46371840\"] \n  11 -> 14 [size =\"46371840\"]\n  12 [size=\"20310016\", alpha=\"0.19\", expect_size=\"10155008\"] \n  13 [size=\"102400000\", alpha=\"0.08\", expect_size=\"51200000\"] \n  13 -> 15 [size =\"51200000\"]\n  13 -> 16 [size =\"51200000\"]\n  14 [size=\"93194240\", alpha=\"0.18\", expect_size=\"46597120\"] \n  14 -> 17 [size =\"46597120\"]\n  15 [size=\"62939136\", alpha=\"0.00\", expect_size=\"31469568\"] \n  15 -> 18 [size =\"31469568\"]\n  15 -> 19 [size =\"31469568\"]\n  16 [size=\"47104000\", alpha=\"0.17\", expect_size=\"23552000\"] \n  17 [size=\"82249728\", alpha=\"0.14\", expect_size=\"41124864\"] \n  17 -> 20 [size =\"41124864\"]\n  18 [size=\"37646336\", alpha=\"0.00\", expect_size=\"18823168\"] \n  18 -> 20 [size =\"18823168\"]\n  19 [size=\"20785152\", alpha=\"0.05\", expect_size=\"10392576\"] \n  20 [size=\"39919616\", alpha=\"0.12\", expect_size=\"19959808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108761600\", alpha=\"0.11\", expect_size=\"43504640\"] \n  1 -> 2 [size =\"43504640\"]\n  2 [size=\"19392000\", alpha=\"0.14\", expect_size=\"7756800\"] \n  2 -> 3 [size =\"7756800\"]\n  2 -> 4 [size =\"7756800\"]\n  3 [size=\"122357760\", alpha=\"0.12\", expect_size=\"48943104\"] \n  3 -> 5 [size =\"48943104\"]\n  4 [size=\"109219840\", alpha=\"0.05\", expect_size=\"43687936\"] \n  5 [size=\"119134720\", alpha=\"0.19\", expect_size=\"47653888\"] \n  5 -> 6 [size =\"47653888\"]\n  6 [size=\"16724480\", alpha=\"0.03\", expect_size=\"6689792\"] \n  6 -> 7 [size =\"6689792\"]\n  7 [size=\"14717440\", alpha=\"0.12\", expect_size=\"5886976\"] \n  7 -> 8 [size =\"5886976\"]\n  8 [size=\"41218560\", alpha=\"0.15\", expect_size=\"16487424\"] \n  8 -> 9 [size =\"16487424\"]\n  9 [size=\"44487680\", alpha=\"0.16\", expect_size=\"17795072\"] \n  9 -> 10 [size =\"17795072\"]\n  10 [size=\"27386880\", alpha=\"0.07\", expect_size=\"10954752\"] \n  10 -> 11 [size =\"10954752\"]\n  11 [size=\"19543040\", alpha=\"0.06\", expect_size=\"7817216\"] \n  11 -> 12 [size =\"7817216\"]\n  12 [size=\"82920960\", alpha=\"0.03\", expect_size=\"33168384\"] \n  12 -> 13 [size =\"33168384\"]\n  12 -> 14 [size =\"33168384\"]\n  13 [size=\"49392640\", alpha=\"0.06\", expect_size=\"19757056\"] \n  13 -> 16 [size =\"19757056\"]\n  14 [size=\"119452160\", alpha=\"0.17\", expect_size=\"47780864\"] \n  14 -> 15 [size =\"47780864\"]\n  15 [size=\"28526080\", alpha=\"0.13\", expect_size=\"11410432\"] \n  15 -> 17 [size =\"11410432\"]\n  15 -> 18 [size =\"11410432\"]\n  16 [size=\"21086720\", alpha=\"0.13\", expect_size=\"8434688\"] \n  17 [size=\"41223680\", alpha=\"0.02\", expect_size=\"16489472\"] \n  18 [size=\"114429440\", alpha=\"0.14\", expect_size=\"45771776\"] \n  18 -> 19 [size =\"45771776\"]\n  18 -> 20 [size =\"45771776\"]\n  19 [size=\"82969600\", alpha=\"0.14\", expect_size=\"33187840\"] \n  20 [size=\"58613760\", alpha=\"0.07\", expect_size=\"23445504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51927040\", alpha=\"0.17\", expect_size=\"20770816\"] \n  1 -> 13 [size =\"20770816\"]\n  1 -> 14 [size =\"20770816\"]\n  2 [size=\"38586880\", alpha=\"0.12\", expect_size=\"15434752\"] \n  2 -> 12 [size =\"15434752\"]\n  2 -> 13 [size =\"15434752\"]\n  2 -> 14 [size =\"15434752\"]\n  3 [size=\"24289280\", alpha=\"0.10\", expect_size=\"9715712\"] \n  3 -> 13 [size =\"9715712\"]\n  4 [size=\"33049600\", alpha=\"0.05\", expect_size=\"13219840\"] \n  4 -> 12 [size =\"13219840\"]\n  5 [size=\"51317760\", alpha=\"0.19\", expect_size=\"20527104\"] \n  5 -> 12 [size =\"20527104\"]\n  5 -> 13 [size =\"20527104\"]\n  5 -> 15 [size =\"20527104\"]\n  6 [size=\"41628160\", alpha=\"0.11\", expect_size=\"16651264\"] \n  6 -> 12 [size =\"16651264\"]\n  6 -> 13 [size =\"16651264\"]\n  6 -> 15 [size =\"16651264\"]\n  7 [size=\"19591680\", alpha=\"0.06\", expect_size=\"7836672\"] \n  7 -> 12 [size =\"7836672\"]\n  7 -> 14 [size =\"7836672\"]\n  8 [size=\"76643840\", alpha=\"0.17\", expect_size=\"30657536\"] \n  8 -> 15 [size =\"30657536\"]\n  9 [size=\"17210880\", alpha=\"0.16\", expect_size=\"6884352\"] \n  9 -> 12 [size =\"6884352\"]\n  9 -> 14 [size =\"6884352\"]\n  9 -> 15 [size =\"6884352\"]\n  10 [size=\"125596160\", alpha=\"0.18\", expect_size=\"50238464\"] \n  10 -> 13 [size =\"50238464\"]\n  10 -> 14 [size =\"50238464\"]\n  11 [size=\"79608320\", alpha=\"0.12\", expect_size=\"31843328\"] \n  11 -> 13 [size =\"31843328\"]\n  11 -> 14 [size =\"31843328\"]\n  12 [size=\"64189440\", alpha=\"0.15\", expect_size=\"25675776\"] \n  12 -> 17 [size =\"25675776\"]\n  12 -> 18 [size =\"25675776\"]\n  13 [size=\"14376960\", alpha=\"0.19\", expect_size=\"5750784\"] \n  13 -> 18 [size =\"5750784\"]\n  13 -> 19 [size =\"5750784\"]\n  14 [size=\"71385600\", alpha=\"0.18\", expect_size=\"28554240\"] \n  14 -> 16 [size =\"28554240\"]\n  15 [size=\"101017600\", alpha=\"0.09\", expect_size=\"40407040\"] \n  15 -> 16 [size =\"40407040\"]\n  15 -> 17 [size =\"40407040\"]\n  16 [size=\"96901120\", alpha=\"0.07\", expect_size=\"38760448\"] \n  16 -> 20 [size =\"38760448\"]\n  17 [size=\"45608960\", alpha=\"0.15\", expect_size=\"18243584\"] \n  17 -> 20 [size =\"18243584\"]\n  18 [size=\"82270720\", alpha=\"0.19\", expect_size=\"32908288\"] \n  18 -> 20 [size =\"32908288\"]\n  19 [size=\"62696960\", alpha=\"0.01\", expect_size=\"25078784\"] \n  20 [size=\"40975360\", alpha=\"0.05\", expect_size=\"16390144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55971840\", alpha=\"0.12\", expect_size=\"16791552\"] \n  1 -> 9 [size =\"16791552\"]\n  1 -> 12 [size =\"16791552\"]\n  1 -> 14 [size =\"16791552\"]\n  2 [size=\"109397333\", alpha=\"0.05\", expect_size=\"32819200\"] \n  2 -> 12 [size =\"32819200\"]\n  3 [size=\"133645653\", alpha=\"0.10\", expect_size=\"40093696\"] \n  3 -> 11 [size =\"40093696\"]\n  4 [size=\"139455147\", alpha=\"0.18\", expect_size=\"41836544\"] \n  4 -> 8 [size =\"41836544\"]\n  4 -> 9 [size =\"41836544\"]\n  4 -> 11 [size =\"41836544\"]\n  5 [size=\"42304853\", alpha=\"0.02\", expect_size=\"12691456\"] \n  5 -> 11 [size =\"12691456\"]\n  5 -> 13 [size =\"12691456\"]\n  6 [size=\"149026133\", alpha=\"0.10\", expect_size=\"44707840\"] \n  6 -> 9 [size =\"44707840\"]\n  6 -> 10 [size =\"44707840\"]\n  6 -> 13 [size =\"44707840\"]\n  6 -> 14 [size =\"44707840\"]\n  7 [size=\"120558933\", alpha=\"0.02\", expect_size=\"36167680\"] \n  7 -> 9 [size =\"36167680\"]\n  7 -> 10 [size =\"36167680\"]\n  7 -> 13 [size =\"36167680\"]\n  7 -> 14 [size =\"36167680\"]\n  8 [size=\"135137280\", alpha=\"0.02\", expect_size=\"40541184\"] \n  9 [size=\"127395840\", alpha=\"0.04\", expect_size=\"38218752\"] \n  9 -> 15 [size =\"38218752\"]\n  9 -> 19 [size =\"38218752\"]\n  10 [size=\"98734080\", alpha=\"0.12\", expect_size=\"29620224\"] \n  10 -> 17 [size =\"29620224\"]\n  10 -> 19 [size =\"29620224\"]\n  11 [size=\"129901227\", alpha=\"0.16\", expect_size=\"38970368\"] \n  11 -> 17 [size =\"38970368\"]\n  11 -> 18 [size =\"38970368\"]\n  11 -> 19 [size =\"38970368\"]\n  12 [size=\"69137067\", alpha=\"0.12\", expect_size=\"20741120\"] \n  12 -> 16 [size =\"20741120\"]\n  12 -> 17 [size =\"20741120\"]\n  12 -> 20 [size =\"20741120\"]\n  13 [size=\"109520213\", alpha=\"0.14\", expect_size=\"32856064\"] \n  14 [size=\"32669013\", alpha=\"0.10\", expect_size=\"9800704\"] \n  14 -> 17 [size =\"9800704\"]\n  15 [size=\"18633387\", alpha=\"0.03\", expect_size=\"5590016\"] \n  16 [size=\"35570347\", alpha=\"0.04\", expect_size=\"10671104\"] \n  17 [size=\"117606400\", alpha=\"0.03\", expect_size=\"35281920\"] \n  18 [size=\"133082453\", alpha=\"0.13\", expect_size=\"39924736\"] \n  19 [size=\"147653973\", alpha=\"0.17\", expect_size=\"44296192\"] \n  20 [size=\"25251840\", alpha=\"0.04\", expect_size=\"7575552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94132224\", alpha=\"0.11\", expect_size=\"47066112\"] \n  1 -> 8 [size =\"47066112\"]\n  1 -> 9 [size =\"47066112\"]\n  1 -> 10 [size =\"47066112\"]\n  2 [size=\"39567360\", alpha=\"0.17\", expect_size=\"19783680\"] \n  2 -> 9 [size =\"19783680\"]\n  2 -> 10 [size =\"19783680\"]\n  2 -> 12 [size =\"19783680\"]\n  3 [size=\"96364544\", alpha=\"0.07\", expect_size=\"48182272\"] \n  3 -> 10 [size =\"48182272\"]\n  3 -> 13 [size =\"48182272\"]\n  4 [size=\"65284096\", alpha=\"0.08\", expect_size=\"32642048\"] \n  4 -> 8 [size =\"32642048\"]\n  4 -> 10 [size =\"32642048\"]\n  5 [size=\"65234944\", alpha=\"0.13\", expect_size=\"32617472\"] \n  6 [size=\"31858688\", alpha=\"0.13\", expect_size=\"15929344\"] \n  6 -> 8 [size =\"15929344\"]\n  6 -> 9 [size =\"15929344\"]\n  6 -> 10 [size =\"15929344\"]\n  7 [size=\"82987008\", alpha=\"0.07\", expect_size=\"41493504\"] \n  7 -> 8 [size =\"41493504\"]\n  7 -> 9 [size =\"41493504\"]\n  7 -> 11 [size =\"41493504\"]\n  7 -> 12 [size =\"41493504\"]\n  8 [size=\"30533632\", alpha=\"0.10\", expect_size=\"15266816\"] \n  8 -> 14 [size =\"15266816\"]\n  8 -> 15 [size =\"15266816\"]\n  8 -> 17 [size =\"15266816\"]\n  9 [size=\"19535872\", alpha=\"0.07\", expect_size=\"9767936\"] \n  9 -> 17 [size =\"9767936\"]\n  9 -> 19 [size =\"9767936\"]\n  9 -> 20 [size =\"9767936\"]\n  10 [size=\"34609152\", alpha=\"0.11\", expect_size=\"17304576\"] \n  10 -> 14 [size =\"17304576\"]\n  10 -> 15 [size =\"17304576\"]\n  11 [size=\"16150528\", alpha=\"0.13\", expect_size=\"8075264\"] \n  11 -> 15 [size =\"8075264\"]\n  11 -> 16 [size =\"8075264\"]\n  12 [size=\"68651008\", alpha=\"0.00\", expect_size=\"34325504\"] \n  12 -> 14 [size =\"34325504\"]\n  12 -> 15 [size =\"34325504\"]\n  12 -> 17 [size =\"34325504\"]\n  12 -> 18 [size =\"34325504\"]\n  12 -> 20 [size =\"34325504\"]\n  13 [size=\"56272896\", alpha=\"0.03\", expect_size=\"28136448\"] \n  13 -> 15 [size =\"28136448\"]\n  13 -> 16 [size =\"28136448\"]\n  13 -> 17 [size =\"28136448\"]\n  13 -> 18 [size =\"28136448\"]\n  13 -> 20 [size =\"28136448\"]\n  14 [size=\"88016896\", alpha=\"0.10\", expect_size=\"44008448\"] \n  15 [size=\"30945280\", alpha=\"0.11\", expect_size=\"15472640\"] \n  16 [size=\"91111424\", alpha=\"0.19\", expect_size=\"45555712\"] \n  17 [size=\"59754496\", alpha=\"0.16\", expect_size=\"29877248\"] \n  18 [size=\"92041216\", alpha=\"0.15\", expect_size=\"46020608\"] \n  19 [size=\"46155776\", alpha=\"0.03\", expect_size=\"23077888\"] \n  20 [size=\"79300608\", alpha=\"0.17\", expect_size=\"39650304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126986240\", alpha=\"0.07\", expect_size=\"50794496\"] \n  1 -> 6 [size =\"50794496\"]\n  1 -> 7 [size =\"50794496\"]\n  2 [size=\"22433280\", alpha=\"0.04\", expect_size=\"8973312\"] \n  2 -> 5 [size =\"8973312\"]\n  3 [size=\"38986240\", alpha=\"0.03\", expect_size=\"15594496\"] \n  4 [size=\"30062080\", alpha=\"0.17\", expect_size=\"12024832\"] \n  4 -> 6 [size =\"12024832\"]\n  5 [size=\"101455360\", alpha=\"0.15\", expect_size=\"40582144\"] \n  5 -> 8 [size =\"40582144\"]\n  5 -> 9 [size =\"40582144\"]\n  6 [size=\"91855360\", alpha=\"0.16\", expect_size=\"36742144\"] \n  7 [size=\"49364480\", alpha=\"0.14\", expect_size=\"19745792\"] \n  7 -> 8 [size =\"19745792\"]\n  7 -> 9 [size =\"19745792\"]\n  8 [size=\"33968640\", alpha=\"0.11\", expect_size=\"13587456\"] \n  8 -> 10 [size =\"13587456\"]\n  9 [size=\"125447680\", alpha=\"0.18\", expect_size=\"50179072\"] \n  9 -> 11 [size =\"50179072\"]\n  9 -> 12 [size =\"50179072\"]\n  9 -> 13 [size =\"50179072\"]\n  10 [size=\"15587840\", alpha=\"0.14\", expect_size=\"6235136\"] \n  10 -> 14 [size =\"6235136\"]\n  10 -> 15 [size =\"6235136\"]\n  11 [size=\"116126720\", alpha=\"0.11\", expect_size=\"46450688\"] \n  11 -> 15 [size =\"46450688\"]\n  11 -> 17 [size =\"46450688\"]\n  12 [size=\"37688320\", alpha=\"0.00\", expect_size=\"15075328\"] \n  12 -> 16 [size =\"15075328\"]\n  12 -> 18 [size =\"15075328\"]\n  13 [size=\"58739200\", alpha=\"0.12\", expect_size=\"23495680\"] \n  13 -> 14 [size =\"23495680\"]\n  14 [size=\"77373440\", alpha=\"0.01\", expect_size=\"30949376\"] \n  14 -> 19 [size =\"30949376\"]\n  14 -> 20 [size =\"30949376\"]\n  15 [size=\"60382720\", alpha=\"0.16\", expect_size=\"24153088\"] \n  15 -> 19 [size =\"24153088\"]\n  16 [size=\"30737920\", alpha=\"0.19\", expect_size=\"12295168\"] \n  17 [size=\"127393280\", alpha=\"0.00\", expect_size=\"50957312\"] \n  17 -> 20 [size =\"50957312\"]\n  18 [size=\"91991040\", alpha=\"0.03\", expect_size=\"36796416\"] \n  18 -> 20 [size =\"36796416\"]\n  19 [size=\"38632960\", alpha=\"0.18\", expect_size=\"15453184\"] \n  20 [size=\"28646400\", alpha=\"0.05\", expect_size=\"11458560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49053696\", alpha=\"0.09\", expect_size=\"24526848\"] \n  1 -> 15 [size =\"24526848\"]\n  1 -> 16 [size =\"24526848\"]\n  1 -> 17 [size =\"24526848\"]\n  2 [size=\"57374720\", alpha=\"0.20\", expect_size=\"28687360\"] \n  2 -> 16 [size =\"28687360\"]\n  2 -> 16 [size =\"28687360\"]\n  2 -> 17 [size =\"28687360\"]\n  2 -> 18 [size =\"28687360\"]\n  2 -> 19 [size =\"28687360\"]\n  2 -> 20 [size =\"28687360\"]\n  3 [size=\"102838272\", alpha=\"0.13\", expect_size=\"51419136\"] \n  3 -> 15 [size =\"51419136\"]\n  3 -> 17 [size =\"51419136\"]\n  3 -> 19 [size =\"51419136\"]\n  3 -> 20 [size =\"51419136\"]\n  4 [size=\"72665088\", alpha=\"0.09\", expect_size=\"36332544\"] \n  4 -> 15 [size =\"36332544\"]\n  4 -> 16 [size =\"36332544\"]\n  4 -> 17 [size =\"36332544\"]\n  4 -> 19 [size =\"36332544\"]\n  4 -> 20 [size =\"36332544\"]\n  5 [size=\"93259776\", alpha=\"0.08\", expect_size=\"46629888\"] \n  5 -> 16 [size =\"46629888\"]\n  5 -> 17 [size =\"46629888\"]\n  5 -> 17 [size =\"46629888\"]\n  5 -> 19 [size =\"46629888\"]\n  6 [size=\"73211904\", alpha=\"0.14\", expect_size=\"36605952\"] \n  6 -> 16 [size =\"36605952\"]\n  6 -> 19 [size =\"36605952\"]\n  7 [size=\"87021568\", alpha=\"0.05\", expect_size=\"43510784\"] \n  7 -> 15 [size =\"43510784\"]\n  7 -> 16 [size =\"43510784\"]\n  7 -> 19 [size =\"43510784\"]\n  8 [size=\"18311168\", alpha=\"0.08\", expect_size=\"9155584\"] \n  8 -> 16 [size =\"9155584\"]\n  8 -> 19 [size =\"9155584\"]\n  9 [size=\"51243008\", alpha=\"0.01\", expect_size=\"25621504\"] \n  9 -> 17 [size =\"25621504\"]\n  9 -> 19 [size =\"25621504\"]\n  10 [size=\"55547904\", alpha=\"0.13\", expect_size=\"27773952\"] \n  10 -> 15 [size =\"27773952\"]\n  10 -> 17 [size =\"27773952\"]\n  10 -> 19 [size =\"27773952\"]\n  11 [size=\"59768832\", alpha=\"0.13\", expect_size=\"29884416\"] \n  11 -> 16 [size =\"29884416\"]\n  11 -> 17 [size =\"29884416\"]\n  11 -> 19 [size =\"29884416\"]\n  12 [size=\"100315136\", alpha=\"0.14\", expect_size=\"50157568\"] \n  12 -> 16 [size =\"50157568\"]\n  12 -> 17 [size =\"50157568\"]\n  12 -> 18 [size =\"50157568\"]\n  12 -> 19 [size =\"50157568\"]\n  12 -> 20 [size =\"50157568\"]\n  13 [size=\"98607104\", alpha=\"0.15\", expect_size=\"49303552\"] \n  13 -> 16 [size =\"49303552\"]\n  13 -> 17 [size =\"49303552\"]\n  13 -> 19 [size =\"49303552\"]\n  14 [size=\"65253376\", alpha=\"0.13\", expect_size=\"32626688\"] \n  14 -> 16 [size =\"32626688\"]\n  15 [size=\"15585280\", alpha=\"0.03\", expect_size=\"7792640\"] \n  16 [size=\"53934080\", alpha=\"0.15\", expect_size=\"26967040\"] \n  17 [size=\"26013696\", alpha=\"0.03\", expect_size=\"13006848\"] \n  18 [size=\"50671616\", alpha=\"0.16\", expect_size=\"25335808\"] \n  19 [size=\"88561664\", alpha=\"0.16\", expect_size=\"44280832\"] \n  20 [size=\"95537152\", alpha=\"0.15\", expect_size=\"47768576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122402133\", alpha=\"0.19\", expect_size=\"36720640\"] \n  1 -> 8 [size =\"36720640\"]\n  1 -> 9 [size =\"36720640\"]\n  1 -> 10 [size =\"36720640\"]\n  1 -> 11 [size =\"36720640\"]\n  1 -> 13 [size =\"36720640\"]\n  1 -> 16 [size =\"36720640\"]\n  2 [size=\"57204053\", alpha=\"0.12\", expect_size=\"17161216\"] \n  2 -> 7 [size =\"17161216\"]\n  2 -> 10 [size =\"17161216\"]\n  2 -> 11 [size =\"17161216\"]\n  2 -> 15 [size =\"17161216\"]\n  3 [size=\"56651093\", alpha=\"0.20\", expect_size=\"16995328\"] \n  3 -> 7 [size =\"16995328\"]\n  3 -> 14 [size =\"16995328\"]\n  3 -> 15 [size =\"16995328\"]\n  4 [size=\"125422933\", alpha=\"0.07\", expect_size=\"37626880\"] \n  4 -> 7 [size =\"37626880\"]\n  4 -> 8 [size =\"37626880\"]\n  4 -> 12 [size =\"37626880\"]\n  4 -> 14 [size =\"37626880\"]\n  4 -> 15 [size =\"37626880\"]\n  4 -> 16 [size =\"37626880\"]\n  5 [size=\"83391147\", alpha=\"0.14\", expect_size=\"25017344\"] \n  5 -> 7 [size =\"25017344\"]\n  5 -> 8 [size =\"25017344\"]\n  5 -> 11 [size =\"25017344\"]\n  5 -> 14 [size =\"25017344\"]\n  6 [size=\"96102400\", alpha=\"0.19\", expect_size=\"28830720\"] \n  6 -> 11 [size =\"28830720\"]\n  6 -> 12 [size =\"28830720\"]\n  6 -> 15 [size =\"28830720\"]\n  7 [size=\"172523520\", alpha=\"0.06\", expect_size=\"51757056\"] \n  7 -> 17 [size =\"51757056\"]\n  7 -> 20 [size =\"51757056\"]\n  8 [size=\"38150827\", alpha=\"0.17\", expect_size=\"11445248\"] \n  9 [size=\"155637760\", alpha=\"0.02\", expect_size=\"46691328\"] \n  9 -> 17 [size =\"46691328\"]\n  10 [size=\"130723840\", alpha=\"0.19\", expect_size=\"39217152\"] \n  11 [size=\"133007360\", alpha=\"0.15\", expect_size=\"39902208\"] \n  11 -> 18 [size =\"39902208\"]\n  12 [size=\"123419307\", alpha=\"0.07\", expect_size=\"37025792\"] \n  13 [size=\"58941440\", alpha=\"0.00\", expect_size=\"17682432\"] \n  14 [size=\"56279040\", alpha=\"0.12\", expect_size=\"16883712\"] \n  14 -> 19 [size =\"16883712\"]\n  15 [size=\"112998400\", alpha=\"0.17\", expect_size=\"33899520\"] \n  16 [size=\"64764587\", alpha=\"0.08\", expect_size=\"19429376\"] \n  16 -> 20 [size =\"19429376\"]\n  17 [size=\"57794560\", alpha=\"0.11\", expect_size=\"17338368\"] \n  18 [size=\"108895573\", alpha=\"0.18\", expect_size=\"32668672\"] \n  19 [size=\"85432320\", alpha=\"0.03\", expect_size=\"25629696\"] \n  20 [size=\"101836800\", alpha=\"0.14\", expect_size=\"30551040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28491776\", alpha=\"0.16\", expect_size=\"14245888\"] \n  2 [size=\"72609792\", alpha=\"0.09\", expect_size=\"36304896\"] \n  3 [size=\"72118272\", alpha=\"0.08\", expect_size=\"36059136\"] \n  4 [size=\"26888192\", alpha=\"0.10\", expect_size=\"13444096\"] \n  5 [size=\"26355712\", alpha=\"0.16\", expect_size=\"13177856\"] \n  6 [size=\"21604352\", alpha=\"0.07\", expect_size=\"10802176\"] \n  7 [size=\"41986048\", alpha=\"0.11\", expect_size=\"20993024\"] \n  8 [size=\"15357952\", alpha=\"0.11\", expect_size=\"7678976\"] \n  9 [size=\"38232064\", alpha=\"0.05\", expect_size=\"19116032\"] \n  10 [size=\"96823296\", alpha=\"0.08\", expect_size=\"48411648\"] \n  11 [size=\"96178176\", alpha=\"0.11\", expect_size=\"48089088\"] \n  12 [size=\"77289472\", alpha=\"0.08\", expect_size=\"38644736\"] \n  13 [size=\"26873856\", alpha=\"0.12\", expect_size=\"13436928\"] \n  14 [size=\"65370112\", alpha=\"0.18\", expect_size=\"32685056\"] \n  15 [size=\"15966208\", alpha=\"0.15\", expect_size=\"7983104\"] \n  16 [size=\"93698048\", alpha=\"0.09\", expect_size=\"46849024\"] \n  17 [size=\"34158592\", alpha=\"0.10\", expect_size=\"17079296\"] \n  18 [size=\"88326144\", alpha=\"0.01\", expect_size=\"44163072\"] \n  19 [size=\"47439872\", alpha=\"0.16\", expect_size=\"23719936\"] \n  20 [size=\"70209536\", alpha=\"0.00\", expect_size=\"35104768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56992427\", alpha=\"0.02\", expect_size=\"17097728\"] \n  1 -> 5 [size =\"17097728\"]\n  2 [size=\"127976107\", alpha=\"0.16\", expect_size=\"38392832\"] \n  3 [size=\"62078293\", alpha=\"0.05\", expect_size=\"18623488\"] \n  3 -> 4 [size =\"18623488\"]\n  3 -> 5 [size =\"18623488\"]\n  4 [size=\"174049280\", alpha=\"0.06\", expect_size=\"52214784\"] \n  4 -> 7 [size =\"52214784\"]\n  4 -> 8 [size =\"52214784\"]\n  4 -> 9 [size =\"52214784\"]\n  5 [size=\"123648000\", alpha=\"0.14\", expect_size=\"37094400\"] \n  5 -> 6 [size =\"37094400\"]\n  5 -> 7 [size =\"37094400\"]\n  5 -> 8 [size =\"37094400\"]\n  5 -> 9 [size =\"37094400\"]\n  6 [size=\"92757333\", alpha=\"0.11\", expect_size=\"27827200\"] \n  6 -> 10 [size =\"27827200\"]\n  6 -> 11 [size =\"27827200\"]\n  6 -> 12 [size =\"27827200\"]\n  7 [size=\"139943253\", alpha=\"0.03\", expect_size=\"41982976\"] \n  7 -> 10 [size =\"41982976\"]\n  7 -> 11 [size =\"41982976\"]\n  7 -> 12 [size =\"41982976\"]\n  8 [size=\"116807680\", alpha=\"0.04\", expect_size=\"35042304\"] \n  8 -> 10 [size =\"35042304\"]\n  8 -> 11 [size =\"35042304\"]\n  8 -> 12 [size =\"35042304\"]\n  8 -> 13 [size =\"35042304\"]\n  9 [size=\"150889813\", alpha=\"0.18\", expect_size=\"45266944\"] \n  9 -> 10 [size =\"45266944\"]\n  9 -> 11 [size =\"45266944\"]\n  9 -> 12 [size =\"45266944\"]\n  9 -> 14 [size =\"45266944\"]\n  10 [size=\"142745600\", alpha=\"0.05\", expect_size=\"42823680\"] \n  11 [size=\"173834240\", alpha=\"0.11\", expect_size=\"52150272\"] \n  11 -> 16 [size =\"52150272\"]\n  12 [size=\"30562987\", alpha=\"0.04\", expect_size=\"9168896\"] \n  12 -> 16 [size =\"9168896\"]\n  13 [size=\"155347627\", alpha=\"0.00\", expect_size=\"46604288\"] \n  13 -> 15 [size =\"46604288\"]\n  13 -> 16 [size =\"46604288\"]\n  14 [size=\"38963200\", alpha=\"0.05\", expect_size=\"11688960\"] \n  14 -> 15 [size =\"11688960\"]\n  14 -> 16 [size =\"11688960\"]\n  15 [size=\"82377387\", alpha=\"0.10\", expect_size=\"24713216\"] \n  15 -> 17 [size =\"24713216\"]\n  15 -> 18 [size =\"24713216\"]\n  15 -> 19 [size =\"24713216\"]\n  16 [size=\"36283733\", alpha=\"0.07\", expect_size=\"10885120\"] \n  16 -> 17 [size =\"10885120\"]\n  16 -> 18 [size =\"10885120\"]\n  17 [size=\"123603627\", alpha=\"0.00\", expect_size=\"37081088\"] \n  17 -> 20 [size =\"37081088\"]\n  18 [size=\"149865813\", alpha=\"0.18\", expect_size=\"44959744\"] \n  18 -> 20 [size =\"44959744\"]\n  19 [size=\"22780587\", alpha=\"0.15\", expect_size=\"6834176\"] \n  19 -> 20 [size =\"6834176\"]\n  20 [size=\"167253333\", alpha=\"0.14\", expect_size=\"50176000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108950187\", alpha=\"0.05\", expect_size=\"32685056\"] \n  1 -> 9 [size =\"32685056\"]\n  1 -> 11 [size =\"32685056\"]\n  1 -> 13 [size =\"32685056\"]\n  2 [size=\"82193067\", alpha=\"0.08\", expect_size=\"24657920\"] \n  2 -> 8 [size =\"24657920\"]\n  2 -> 12 [size =\"24657920\"]\n  3 [size=\"56582827\", alpha=\"0.19\", expect_size=\"16974848\"] \n  3 -> 8 [size =\"16974848\"]\n  3 -> 10 [size =\"16974848\"]\n  3 -> 12 [size =\"16974848\"]\n  3 -> 13 [size =\"16974848\"]\n  3 -> 15 [size =\"16974848\"]\n  4 [size=\"30726827\", alpha=\"0.16\", expect_size=\"9218048\"] \n  4 -> 8 [size =\"9218048\"]\n  4 -> 10 [size =\"9218048\"]\n  4 -> 12 [size =\"9218048\"]\n  4 -> 15 [size =\"9218048\"]\n  5 [size=\"43482453\", alpha=\"0.15\", expect_size=\"13044736\"] \n  5 -> 8 [size =\"13044736\"]\n  5 -> 9 [size =\"13044736\"]\n  5 -> 12 [size =\"13044736\"]\n  5 -> 15 [size =\"13044736\"]\n  6 [size=\"40424107\", alpha=\"0.08\", expect_size=\"12127232\"] \n  6 -> 9 [size =\"12127232\"]\n  6 -> 10 [size =\"12127232\"]\n  6 -> 14 [size =\"12127232\"]\n  6 -> 15 [size =\"12127232\"]\n  7 [size=\"142639787\", alpha=\"0.11\", expect_size=\"42791936\"] \n  7 -> 10 [size =\"42791936\"]\n  7 -> 15 [size =\"42791936\"]\n  8 [size=\"173352960\", alpha=\"0.02\", expect_size=\"52005888\"] \n  8 -> 18 [size =\"52005888\"]\n  8 -> 18 [size =\"52005888\"]\n  8 -> 19 [size =\"52005888\"]\n  8 -> 20 [size =\"52005888\"]\n  9 [size=\"22241280\", alpha=\"0.19\", expect_size=\"6672384\"] \n  9 -> 19 [size =\"6672384\"]\n  9 -> 20 [size =\"6672384\"]\n  10 [size=\"79001600\", alpha=\"0.16\", expect_size=\"23700480\"] \n  10 -> 19 [size =\"23700480\"]\n  10 -> 20 [size =\"23700480\"]\n  11 [size=\"130211840\", alpha=\"0.14\", expect_size=\"39063552\"] \n  11 -> 17 [size =\"39063552\"]\n  12 [size=\"170820267\", alpha=\"0.11\", expect_size=\"51246080\"] \n  12 -> 17 [size =\"51246080\"]\n  13 [size=\"78974293\", alpha=\"0.15\", expect_size=\"23692288\"] \n  13 -> 16 [size =\"23692288\"]\n  13 -> 17 [size =\"23692288\"]\n  14 [size=\"70495573\", alpha=\"0.12\", expect_size=\"21148672\"] \n  14 -> 17 [size =\"21148672\"]\n  14 -> 18 [size =\"21148672\"]\n  14 -> 20 [size =\"21148672\"]\n  15 [size=\"39058773\", alpha=\"0.09\", expect_size=\"11717632\"] \n  15 -> 17 [size =\"11717632\"]\n  15 -> 18 [size =\"11717632\"]\n  15 -> 19 [size =\"11717632\"]\n  15 -> 20 [size =\"11717632\"]\n  16 [size=\"159658667\", alpha=\"0.09\", expect_size=\"47897600\"] \n  17 [size=\"61364907\", alpha=\"0.16\", expect_size=\"18409472\"] \n  18 [size=\"145305600\", alpha=\"0.11\", expect_size=\"43591680\"] \n  19 [size=\"159092053\", alpha=\"0.06\", expect_size=\"47727616\"] \n  20 [size=\"152937813\", alpha=\"0.11\", expect_size=\"45881344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23695360\", alpha=\"0.01\", expect_size=\"11847680\"] \n  1 -> 5 [size =\"11847680\"]\n  2 [size=\"50677760\", alpha=\"0.06\", expect_size=\"25338880\"] \n  2 -> 4 [size =\"25338880\"]\n  2 -> 6 [size =\"25338880\"]\n  3 [size=\"95098880\", alpha=\"0.16\", expect_size=\"47549440\"] \n  3 -> 6 [size =\"47549440\"]\n  3 -> 7 [size =\"47549440\"]\n  4 [size=\"66777088\", alpha=\"0.06\", expect_size=\"33388544\"] \n  4 -> 8 [size =\"33388544\"]\n  5 [size=\"14909440\", alpha=\"0.11\", expect_size=\"7454720\"] \n  5 -> 8 [size =\"7454720\"]\n  5 -> 9 [size =\"7454720\"]\n  6 [size=\"50302976\", alpha=\"0.16\", expect_size=\"25151488\"] \n  6 -> 9 [size =\"25151488\"]\n  6 -> 10 [size =\"25151488\"]\n  7 [size=\"54996992\", alpha=\"0.11\", expect_size=\"27498496\"] \n  7 -> 8 [size =\"27498496\"]\n  7 -> 9 [size =\"27498496\"]\n  7 -> 10 [size =\"27498496\"]\n  8 [size=\"52678656\", alpha=\"0.02\", expect_size=\"26339328\"] \n  8 -> 11 [size =\"26339328\"]\n  8 -> 12 [size =\"26339328\"]\n  9 [size=\"25032704\", alpha=\"0.16\", expect_size=\"12516352\"] \n  9 -> 12 [size =\"12516352\"]\n  9 -> 13 [size =\"12516352\"]\n  9 -> 14 [size =\"12516352\"]\n  10 [size=\"66258944\", alpha=\"0.01\", expect_size=\"33129472\"] \n  10 -> 11 [size =\"33129472\"]\n  10 -> 13 [size =\"33129472\"]\n  11 [size=\"38590464\", alpha=\"0.20\", expect_size=\"19295232\"] \n  11 -> 15 [size =\"19295232\"]\n  11 -> 17 [size =\"19295232\"]\n  12 [size=\"41912320\", alpha=\"0.14\", expect_size=\"20956160\"] \n  12 -> 15 [size =\"20956160\"]\n  12 -> 16 [size =\"20956160\"]\n  13 [size=\"68280320\", alpha=\"0.14\", expect_size=\"34140160\"] \n  13 -> 15 [size =\"34140160\"]\n  13 -> 16 [size =\"34140160\"]\n  14 [size=\"48879616\", alpha=\"0.08\", expect_size=\"24439808\"] \n  14 -> 16 [size =\"24439808\"]\n  14 -> 17 [size =\"24439808\"]\n  15 [size=\"77961216\", alpha=\"0.15\", expect_size=\"38980608\"] \n  15 -> 18 [size =\"38980608\"]\n  15 -> 19 [size =\"38980608\"]\n  15 -> 20 [size =\"38980608\"]\n  16 [size=\"34048000\", alpha=\"0.10\", expect_size=\"17024000\"] \n  16 -> 20 [size =\"17024000\"]\n  17 [size=\"14528512\", alpha=\"0.14\", expect_size=\"7264256\"] \n  17 -> 18 [size =\"7264256\"]\n  17 -> 19 [size =\"7264256\"]\n  17 -> 20 [size =\"7264256\"]\n  18 [size=\"64276480\", alpha=\"0.14\", expect_size=\"32138240\"] \n  19 [size=\"74815488\", alpha=\"0.17\", expect_size=\"37407744\"] \n  20 [size=\"54505472\", alpha=\"0.14\", expect_size=\"27252736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91156480\", alpha=\"0.13\", expect_size=\"36462592\"] \n  1 -> 2 [size =\"36462592\"]\n  2 [size=\"14850560\", alpha=\"0.13\", expect_size=\"5940224\"] \n  2 -> 3 [size =\"5940224\"]\n  3 [size=\"62970880\", alpha=\"0.13\", expect_size=\"25188352\"] \n  3 -> 4 [size =\"25188352\"]\n  4 [size=\"97031680\", alpha=\"0.10\", expect_size=\"38812672\"] \n  4 -> 5 [size =\"38812672\"]\n  5 [size=\"96399360\", alpha=\"0.07\", expect_size=\"38559744\"] \n  5 -> 6 [size =\"38559744\"]\n  6 [size=\"111687680\", alpha=\"0.15\", expect_size=\"44675072\"] \n  6 -> 7 [size =\"44675072\"]\n  7 [size=\"113123840\", alpha=\"0.16\", expect_size=\"45249536\"] \n  7 -> 8 [size =\"45249536\"]\n  8 [size=\"83430400\", alpha=\"0.00\", expect_size=\"33372160\"] \n  8 -> 9 [size =\"33372160\"]\n  9 [size=\"92976640\", alpha=\"0.10\", expect_size=\"37190656\"] \n  9 -> 10 [size =\"37190656\"]\n  10 [size=\"101135360\", alpha=\"0.08\", expect_size=\"40454144\"] \n  10 -> 11 [size =\"40454144\"]\n  11 [size=\"116111360\", alpha=\"0.19\", expect_size=\"46444544\"] \n  11 -> 12 [size =\"46444544\"]\n  12 [size=\"77488640\", alpha=\"0.17\", expect_size=\"30995456\"] \n  12 -> 13 [size =\"30995456\"]\n  13 [size=\"33479680\", alpha=\"0.13\", expect_size=\"13391872\"] \n  13 -> 14 [size =\"13391872\"]\n  14 [size=\"110576640\", alpha=\"0.10\", expect_size=\"44230656\"] \n  14 -> 15 [size =\"44230656\"]\n  15 [size=\"53201920\", alpha=\"0.07\", expect_size=\"21280768\"] \n  15 -> 16 [size =\"21280768\"]\n  16 [size=\"97349120\", alpha=\"0.18\", expect_size=\"38939648\"] \n  16 -> 17 [size =\"38939648\"]\n  17 [size=\"65277440\", alpha=\"0.01\", expect_size=\"26110976\"] \n  17 -> 18 [size =\"26110976\"]\n  18 [size=\"43271680\", alpha=\"0.06\", expect_size=\"17308672\"] \n  18 -> 19 [size =\"17308672\"]\n  19 [size=\"43343360\", alpha=\"0.17\", expect_size=\"17337344\"] \n  19 -> 20 [size =\"17337344\"]\n  20 [size=\"102528000\", alpha=\"0.13\", expect_size=\"41011200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65740800\", alpha=\"0.02\", expect_size=\"19722240\"] \n  1 -> 2 [size =\"19722240\"]\n  2 [size=\"57999360\", alpha=\"0.12\", expect_size=\"17399808\"] \n  2 -> 3 [size =\"17399808\"]\n  3 [size=\"71444480\", alpha=\"0.07\", expect_size=\"21433344\"] \n  3 -> 4 [size =\"21433344\"]\n  4 [size=\"149654187\", alpha=\"0.19\", expect_size=\"44896256\"] \n  4 -> 5 [size =\"44896256\"]\n  5 [size=\"121562453\", alpha=\"0.09\", expect_size=\"36468736\"] \n  5 -> 6 [size =\"36468736\"]\n  6 [size=\"42683733\", alpha=\"0.10\", expect_size=\"12805120\"] \n  6 -> 7 [size =\"12805120\"]\n  7 [size=\"58955093\", alpha=\"0.15\", expect_size=\"17686528\"] \n  7 -> 8 [size =\"17686528\"]\n  8 [size=\"101246293\", alpha=\"0.05\", expect_size=\"30373888\"] \n  8 -> 9 [size =\"30373888\"]\n  9 [size=\"130621440\", alpha=\"0.14\", expect_size=\"39186432\"] \n  9 -> 10 [size =\"39186432\"]\n  10 [size=\"120459947\", alpha=\"0.20\", expect_size=\"36137984\"] \n  10 -> 11 [size =\"36137984\"]\n  11 [size=\"34682880\", alpha=\"0.12\", expect_size=\"10404864\"] \n  11 -> 12 [size =\"10404864\"]\n  12 [size=\"47796907\", alpha=\"0.20\", expect_size=\"14339072\"] \n  12 -> 13 [size =\"14339072\"]\n  13 [size=\"140929707\", alpha=\"0.04\", expect_size=\"42278912\"] \n  13 -> 14 [size =\"42278912\"]\n  14 [size=\"38205440\", alpha=\"0.06\", expect_size=\"11461632\"] \n  14 -> 15 [size =\"11461632\"]\n  15 [size=\"26511360\", alpha=\"0.10\", expect_size=\"7953408\"] \n  15 -> 16 [size =\"7953408\"]\n  16 [size=\"93948587\", alpha=\"0.06\", expect_size=\"28184576\"] \n  16 -> 17 [size =\"28184576\"]\n  17 [size=\"173748907\", alpha=\"0.18\", expect_size=\"52124672\"] \n  17 -> 18 [size =\"52124672\"]\n  18 [size=\"136802987\", alpha=\"0.07\", expect_size=\"41040896\"] \n  18 -> 19 [size =\"41040896\"]\n  19 [size=\"20162560\", alpha=\"0.12\", expect_size=\"6048768\"] \n  19 -> 20 [size =\"6048768\"]\n  20 [size=\"127559680\", alpha=\"0.13\", expect_size=\"38267904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81217536\", alpha=\"0.17\", expect_size=\"40608768\"] \n  2 [size=\"60313600\", alpha=\"0.04\", expect_size=\"30156800\"] \n  2 -> 16 [size =\"30156800\"]\n  2 -> 18 [size =\"30156800\"]\n  2 -> 20 [size =\"30156800\"]\n  3 [size=\"92008448\", alpha=\"0.06\", expect_size=\"46004224\"] \n  3 -> 14 [size =\"46004224\"]\n  3 -> 15 [size =\"46004224\"]\n  3 -> 18 [size =\"46004224\"]\n  4 [size=\"33693696\", alpha=\"0.16\", expect_size=\"16846848\"] \n  4 -> 13 [size =\"16846848\"]\n  5 [size=\"33001472\", alpha=\"0.06\", expect_size=\"16500736\"] \n  5 -> 13 [size =\"16500736\"]\n  5 -> 14 [size =\"16500736\"]\n  5 -> 20 [size =\"16500736\"]\n  6 [size=\"47073280\", alpha=\"0.16\", expect_size=\"23536640\"] \n  6 -> 18 [size =\"23536640\"]\n  6 -> 20 [size =\"23536640\"]\n  7 [size=\"101289984\", alpha=\"0.00\", expect_size=\"50644992\"] \n  7 -> 14 [size =\"50644992\"]\n  7 -> 18 [size =\"50644992\"]\n  7 -> 20 [size =\"50644992\"]\n  8 [size=\"58867712\", alpha=\"0.01\", expect_size=\"29433856\"] \n  8 -> 18 [size =\"29433856\"]\n  8 -> 19 [size =\"29433856\"]\n  8 -> 20 [size =\"29433856\"]\n  9 [size=\"36720640\", alpha=\"0.11\", expect_size=\"18360320\"] \n  9 -> 17 [size =\"18360320\"]\n  9 -> 20 [size =\"18360320\"]\n  10 [size=\"56391680\", alpha=\"0.17\", expect_size=\"28195840\"] \n  11 [size=\"23470080\", alpha=\"0.10\", expect_size=\"11735040\"] \n  11 -> 15 [size =\"11735040\"]\n  12 [size=\"11282432\", alpha=\"0.16\", expect_size=\"5641216\"] \n  12 -> 16 [size =\"5641216\"]\n  12 -> 18 [size =\"5641216\"]\n  13 [size=\"30021632\", alpha=\"0.05\", expect_size=\"15010816\"] \n  14 [size=\"57753600\", alpha=\"0.01\", expect_size=\"28876800\"] \n  15 [size=\"38635520\", alpha=\"0.18\", expect_size=\"19317760\"] \n  16 [size=\"67614720\", alpha=\"0.02\", expect_size=\"33807360\"] \n  17 [size=\"47636480\", alpha=\"0.17\", expect_size=\"23818240\"] \n  18 [size=\"47716352\", alpha=\"0.03\", expect_size=\"23858176\"] \n  19 [size=\"53825536\", alpha=\"0.16\", expect_size=\"26912768\"] \n  20 [size=\"11212800\", alpha=\"0.12\", expect_size=\"5606400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12845056\", alpha=\"0.19\", expect_size=\"6422528\"] \n  1 -> 5 [size =\"6422528\"]\n  1 -> 6 [size =\"6422528\"]\n  1 -> 7 [size =\"6422528\"]\n  2 [size=\"67043328\", alpha=\"0.11\", expect_size=\"33521664\"] \n  2 -> 5 [size =\"33521664\"]\n  3 [size=\"67305472\", alpha=\"0.14\", expect_size=\"33652736\"] \n  3 -> 6 [size =\"33652736\"]\n  4 [size=\"82905088\", alpha=\"0.18\", expect_size=\"41452544\"] \n  4 -> 6 [size =\"41452544\"]\n  5 [size=\"18536448\", alpha=\"0.02\", expect_size=\"9268224\"] \n  5 -> 9 [size =\"9268224\"]\n  5 -> 10 [size =\"9268224\"]\n  5 -> 11 [size =\"9268224\"]\n  6 [size=\"43231232\", alpha=\"0.15\", expect_size=\"21615616\"] \n  6 -> 10 [size =\"21615616\"]\n  7 [size=\"85780480\", alpha=\"0.14\", expect_size=\"42890240\"] \n  7 -> 8 [size =\"42890240\"]\n  8 [size=\"57509888\", alpha=\"0.12\", expect_size=\"28754944\"] \n  8 -> 14 [size =\"28754944\"]\n  8 -> 15 [size =\"28754944\"]\n  9 [size=\"16793600\", alpha=\"0.02\", expect_size=\"8396800\"] \n  9 -> 13 [size =\"8396800\"]\n  9 -> 14 [size =\"8396800\"]\n  10 [size=\"97449984\", alpha=\"0.07\", expect_size=\"48724992\"] \n  10 -> 12 [size =\"48724992\"]\n  10 -> 13 [size =\"48724992\"]\n  10 -> 15 [size =\"48724992\"]\n  11 [size=\"47388672\", alpha=\"0.02\", expect_size=\"23694336\"] \n  12 [size=\"45008896\", alpha=\"0.09\", expect_size=\"22504448\"] \n  12 -> 18 [size =\"22504448\"]\n  13 [size=\"98772992\", alpha=\"0.17\", expect_size=\"49386496\"] \n  13 -> 16 [size =\"49386496\"]\n  14 [size=\"72521728\", alpha=\"0.10\", expect_size=\"36260864\"] \n  14 -> 16 [size =\"36260864\"]\n  14 -> 17 [size =\"36260864\"]\n  14 -> 18 [size =\"36260864\"]\n  15 [size=\"64620544\", alpha=\"0.02\", expect_size=\"32310272\"] \n  15 -> 18 [size =\"32310272\"]\n  16 [size=\"74711040\", alpha=\"0.10\", expect_size=\"37355520\"] \n  17 [size=\"51572736\", alpha=\"0.01\", expect_size=\"25786368\"] \n  17 -> 19 [size =\"25786368\"]\n  18 [size=\"23003136\", alpha=\"0.05\", expect_size=\"11501568\"] \n  18 -> 19 [size =\"11501568\"]\n  18 -> 20 [size =\"11501568\"]\n  19 [size=\"80904192\", alpha=\"0.20\", expect_size=\"40452096\"] \n  20 [size=\"89430016\", alpha=\"0.10\", expect_size=\"44715008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74452480\", alpha=\"0.19\", expect_size=\"29780992\"] \n  1 -> 2 [size =\"29780992\"]\n  2 [size=\"46382080\", alpha=\"0.19\", expect_size=\"18552832\"] \n  2 -> 3 [size =\"18552832\"]\n  3 [size=\"73610240\", alpha=\"0.19\", expect_size=\"29444096\"] \n  3 -> 4 [size =\"29444096\"]\n  4 [size=\"104153600\", alpha=\"0.11\", expect_size=\"41661440\"] \n  4 -> 5 [size =\"41661440\"]\n  5 [size=\"46809600\", alpha=\"0.07\", expect_size=\"18723840\"] \n  5 -> 6 [size =\"18723840\"]\n  6 [size=\"50424320\", alpha=\"0.16\", expect_size=\"20169728\"] \n  6 -> 7 [size =\"20169728\"]\n  7 [size=\"48112640\", alpha=\"0.14\", expect_size=\"19245056\"] \n  7 -> 8 [size =\"19245056\"]\n  8 [size=\"49943040\", alpha=\"0.10\", expect_size=\"19977216\"] \n  8 -> 9 [size =\"19977216\"]\n  9 [size=\"24010240\", alpha=\"0.09\", expect_size=\"9604096\"] \n  9 -> 10 [size =\"9604096\"]\n  10 [size=\"104801280\", alpha=\"0.20\", expect_size=\"41920512\"] \n  10 -> 11 [size =\"41920512\"]\n  11 [size=\"90181120\", alpha=\"0.17\", expect_size=\"36072448\"] \n  11 -> 12 [size =\"36072448\"]\n  12 [size=\"81512960\", alpha=\"0.01\", expect_size=\"32605184\"] \n  12 -> 13 [size =\"32605184\"]\n  13 [size=\"77562880\", alpha=\"0.20\", expect_size=\"31025152\"] \n  13 -> 14 [size =\"31025152\"]\n  14 [size=\"74298880\", alpha=\"0.08\", expect_size=\"29719552\"] \n  14 -> 15 [size =\"29719552\"]\n  15 [size=\"19855360\", alpha=\"0.01\", expect_size=\"7942144\"] \n  15 -> 16 [size =\"7942144\"]\n  16 [size=\"63907840\", alpha=\"0.19\", expect_size=\"25563136\"] \n  16 -> 17 [size =\"25563136\"]\n  17 [size=\"37532160\", alpha=\"0.18\", expect_size=\"15012864\"] \n  17 -> 18 [size =\"15012864\"]\n  18 [size=\"118504960\", alpha=\"0.13\", expect_size=\"47401984\"] \n  18 -> 19 [size =\"47401984\"]\n  19 [size=\"59740160\", alpha=\"0.10\", expect_size=\"23896064\"] \n  19 -> 20 [size =\"23896064\"]\n  20 [size=\"115553280\", alpha=\"0.15\", expect_size=\"46221312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34961920\", alpha=\"0.19\", expect_size=\"13984768\"] \n  1 -> 2 [size =\"13984768\"]\n  1 -> 3 [size =\"13984768\"]\n  2 [size=\"68523520\", alpha=\"0.05\", expect_size=\"27409408\"] \n  2 -> 4 [size =\"27409408\"]\n  2 -> 5 [size =\"27409408\"]\n  3 [size=\"125483520\", alpha=\"0.20\", expect_size=\"50193408\"] \n  3 -> 4 [size =\"50193408\"]\n  3 -> 5 [size =\"50193408\"]\n  4 [size=\"101944320\", alpha=\"0.02\", expect_size=\"40777728\"] \n  4 -> 6 [size =\"40777728\"]\n  5 [size=\"117370880\", alpha=\"0.05\", expect_size=\"46948352\"] \n  5 -> 6 [size =\"46948352\"]\n  6 [size=\"47493120\", alpha=\"0.01\", expect_size=\"18997248\"] \n  6 -> 7 [size =\"18997248\"]\n  7 [size=\"42472960\", alpha=\"0.03\", expect_size=\"16989184\"] \n  7 -> 8 [size =\"16989184\"]\n  8 [size=\"90611200\", alpha=\"0.00\", expect_size=\"36244480\"] \n  8 -> 9 [size =\"36244480\"]\n  9 [size=\"100277760\", alpha=\"0.07\", expect_size=\"40111104\"] \n  9 -> 10 [size =\"40111104\"]\n  9 -> 11 [size =\"40111104\"]\n  10 [size=\"87168000\", alpha=\"0.07\", expect_size=\"34867200\"] \n  10 -> 12 [size =\"34867200\"]\n  11 [size=\"110699520\", alpha=\"0.07\", expect_size=\"44279808\"] \n  12 [size=\"103408640\", alpha=\"0.06\", expect_size=\"41363456\"] \n  12 -> 13 [size =\"41363456\"]\n  12 -> 14 [size =\"41363456\"]\n  13 [size=\"14213120\", alpha=\"0.02\", expect_size=\"5685248\"] \n  13 -> 15 [size =\"5685248\"]\n  14 [size=\"130757120\", alpha=\"0.02\", expect_size=\"52302848\"] \n  14 -> 15 [size =\"52302848\"]\n  15 [size=\"25323520\", alpha=\"0.20\", expect_size=\"10129408\"] \n  15 -> 16 [size =\"10129408\"]\n  15 -> 17 [size =\"10129408\"]\n  16 [size=\"52344320\", alpha=\"0.03\", expect_size=\"20937728\"] \n  16 -> 18 [size =\"20937728\"]\n  17 [size=\"55918080\", alpha=\"0.14\", expect_size=\"22367232\"] \n  18 [size=\"71810560\", alpha=\"0.10\", expect_size=\"28724224\"] \n  18 -> 19 [size =\"28724224\"]\n  19 [size=\"73047040\", alpha=\"0.02\", expect_size=\"29218816\"] \n  19 -> 20 [size =\"29218816\"]\n  20 [size=\"113016320\", alpha=\"0.02\", expect_size=\"45206528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117050027\", alpha=\"0.01\", expect_size=\"35115008\"] \n  2 [size=\"92842667\", alpha=\"0.19\", expect_size=\"27852800\"] \n  3 [size=\"170615467\", alpha=\"0.09\", expect_size=\"51184640\"] \n  4 [size=\"73550507\", alpha=\"0.14\", expect_size=\"22065152\"] \n  5 [size=\"35570347\", alpha=\"0.02\", expect_size=\"10671104\"] \n  6 [size=\"159825920\", alpha=\"0.07\", expect_size=\"47947776\"] \n  7 [size=\"138478933\", alpha=\"0.02\", expect_size=\"41543680\"] \n  8 [size=\"53592747\", alpha=\"0.15\", expect_size=\"16077824\"] \n  9 [size=\"167635627\", alpha=\"0.06\", expect_size=\"50290688\"] \n  10 [size=\"36410027\", alpha=\"0.11\", expect_size=\"10923008\"] \n  11 [size=\"28798293\", alpha=\"0.12\", expect_size=\"8639488\"] \n  12 [size=\"39942827\", alpha=\"0.20\", expect_size=\"11982848\"] \n  13 [size=\"35990187\", alpha=\"0.04\", expect_size=\"10797056\"] \n  14 [size=\"105946453\", alpha=\"0.18\", expect_size=\"31783936\"] \n  15 [size=\"61160107\", alpha=\"0.12\", expect_size=\"18348032\"] \n  16 [size=\"79274667\", alpha=\"0.02\", expect_size=\"23782400\"] \n  17 [size=\"137342293\", alpha=\"0.20\", expect_size=\"41202688\"] \n  18 [size=\"149428907\", alpha=\"0.15\", expect_size=\"44828672\"] \n  19 [size=\"107188907\", alpha=\"0.06\", expect_size=\"32156672\"] \n  20 [size=\"154071040\", alpha=\"0.04\", expect_size=\"46221312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29931520\", alpha=\"0.06\", expect_size=\"14965760\"] \n  1 -> 9 [size =\"14965760\"]\n  1 -> 11 [size =\"14965760\"]\n  1 -> 12 [size =\"14965760\"]\n  1 -> 13 [size =\"14965760\"]\n  2 [size=\"28508160\", alpha=\"0.06\", expect_size=\"14254080\"] \n  2 -> 12 [size =\"14254080\"]\n  3 [size=\"67776512\", alpha=\"0.11\", expect_size=\"33888256\"] \n  4 [size=\"11390976\", alpha=\"0.03\", expect_size=\"5695488\"] \n  4 -> 9 [size =\"5695488\"]\n  4 -> 11 [size =\"5695488\"]\n  4 -> 12 [size =\"5695488\"]\n  4 -> 14 [size =\"5695488\"]\n  5 [size=\"12818432\", alpha=\"0.00\", expect_size=\"6409216\"] \n  5 -> 9 [size =\"6409216\"]\n  5 -> 11 [size =\"6409216\"]\n  5 -> 13 [size =\"6409216\"]\n  6 [size=\"33538048\", alpha=\"0.01\", expect_size=\"16769024\"] \n  6 -> 9 [size =\"16769024\"]\n  6 -> 10 [size =\"16769024\"]\n  6 -> 11 [size =\"16769024\"]\n  6 -> 15 [size =\"16769024\"]\n  7 [size=\"26726400\", alpha=\"0.20\", expect_size=\"13363200\"] \n  7 -> 9 [size =\"13363200\"]\n  7 -> 14 [size =\"13363200\"]\n  8 [size=\"27019264\", alpha=\"0.19\", expect_size=\"13509632\"] \n  8 -> 12 [size =\"13509632\"]\n  9 [size=\"26630144\", alpha=\"0.20\", expect_size=\"13315072\"] \n  9 -> 17 [size =\"13315072\"]\n  9 -> 18 [size =\"13315072\"]\n  9 -> 20 [size =\"13315072\"]\n  10 [size=\"82466816\", alpha=\"0.09\", expect_size=\"41233408\"] \n  10 -> 16 [size =\"41233408\"]\n  10 -> 17 [size =\"41233408\"]\n  10 -> 18 [size =\"41233408\"]\n  10 -> 19 [size =\"41233408\"]\n  10 -> 20 [size =\"41233408\"]\n  11 [size=\"98543616\", alpha=\"0.16\", expect_size=\"49271808\"] \n  11 -> 17 [size =\"49271808\"]\n  11 -> 20 [size =\"49271808\"]\n  12 [size=\"31950848\", alpha=\"0.07\", expect_size=\"15975424\"] \n  13 [size=\"60989440\", alpha=\"0.05\", expect_size=\"30494720\"] \n  13 -> 16 [size =\"30494720\"]\n  13 -> 19 [size =\"30494720\"]\n  13 -> 20 [size =\"30494720\"]\n  14 [size=\"17692672\", alpha=\"0.19\", expect_size=\"8846336\"] \n  14 -> 18 [size =\"8846336\"]\n  15 [size=\"33902592\", alpha=\"0.14\", expect_size=\"16951296\"] \n  15 -> 18 [size =\"16951296\"]\n  15 -> 20 [size =\"16951296\"]\n  16 [size=\"34131968\", alpha=\"0.06\", expect_size=\"17065984\"] \n  17 [size=\"38096896\", alpha=\"0.08\", expect_size=\"19048448\"] \n  18 [size=\"36478976\", alpha=\"0.16\", expect_size=\"18239488\"] \n  19 [size=\"32481280\", alpha=\"0.12\", expect_size=\"16240640\"] \n  20 [size=\"32382976\", alpha=\"0.01\", expect_size=\"16191488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97234944\", alpha=\"0.08\", expect_size=\"48617472\"] \n  1 -> 6 [size =\"48617472\"]\n  1 -> 7 [size =\"48617472\"]\n  2 [size=\"37267456\", alpha=\"0.17\", expect_size=\"18633728\"] \n  2 -> 5 [size =\"18633728\"]\n  2 -> 6 [size =\"18633728\"]\n  2 -> 7 [size =\"18633728\"]\n  3 [size=\"40773632\", alpha=\"0.13\", expect_size=\"20386816\"] \n  4 [size=\"53362688\", alpha=\"0.01\", expect_size=\"26681344\"] \n  5 [size=\"23986176\", alpha=\"0.04\", expect_size=\"11993088\"] \n  5 -> 8 [size =\"11993088\"]\n  5 -> 9 [size =\"11993088\"]\n  6 [size=\"85534720\", alpha=\"0.15\", expect_size=\"42767360\"] \n  6 -> 10 [size =\"42767360\"]\n  7 [size=\"71999488\", alpha=\"0.18\", expect_size=\"35999744\"] \n  7 -> 10 [size =\"35999744\"]\n  7 -> 11 [size =\"35999744\"]\n  8 [size=\"65478656\", alpha=\"0.13\", expect_size=\"32739328\"] \n  8 -> 12 [size =\"32739328\"]\n  8 -> 15 [size =\"32739328\"]\n  9 [size=\"59484160\", alpha=\"0.19\", expect_size=\"29742080\"] \n  9 -> 13 [size =\"29742080\"]\n  9 -> 14 [size =\"29742080\"]\n  10 [size=\"38729728\", alpha=\"0.13\", expect_size=\"19364864\"] \n  10 -> 13 [size =\"19364864\"]\n  10 -> 14 [size =\"19364864\"]\n  11 [size=\"14309376\", alpha=\"0.06\", expect_size=\"7154688\"] \n  11 -> 12 [size =\"7154688\"]\n  11 -> 14 [size =\"7154688\"]\n  12 [size=\"54411264\", alpha=\"0.14\", expect_size=\"27205632\"] \n  12 -> 16 [size =\"27205632\"]\n  12 -> 18 [size =\"27205632\"]\n  13 [size=\"42373120\", alpha=\"0.01\", expect_size=\"21186560\"] \n  13 -> 17 [size =\"21186560\"]\n  13 -> 19 [size =\"21186560\"]\n  14 [size=\"10651648\", alpha=\"0.03\", expect_size=\"5325824\"] \n  15 [size=\"14579712\", alpha=\"0.02\", expect_size=\"7289856\"] \n  16 [size=\"33400832\", alpha=\"0.12\", expect_size=\"16700416\"] \n  16 -> 20 [size =\"16700416\"]\n  17 [size=\"103266304\", alpha=\"0.20\", expect_size=\"51633152\"] \n  18 [size=\"93396992\", alpha=\"0.10\", expect_size=\"46698496\"] \n  19 [size=\"60227584\", alpha=\"0.17\", expect_size=\"30113792\"] \n  20 [size=\"54091776\", alpha=\"0.02\", expect_size=\"27045888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51699200\", alpha=\"0.18\", expect_size=\"20679680\"] \n  1 -> 2 [size =\"20679680\"]\n  2 [size=\"67594240\", alpha=\"0.06\", expect_size=\"27037696\"] \n  2 -> 3 [size =\"27037696\"]\n  3 [size=\"106275840\", alpha=\"0.13\", expect_size=\"42510336\"] \n  3 -> 4 [size =\"42510336\"]\n  4 [size=\"42076160\", alpha=\"0.15\", expect_size=\"16830464\"] \n  4 -> 5 [size =\"16830464\"]\n  5 [size=\"54568960\", alpha=\"0.04\", expect_size=\"21827584\"] \n  5 -> 6 [size =\"21827584\"]\n  6 [size=\"63587840\", alpha=\"0.17\", expect_size=\"25435136\"] \n  6 -> 7 [size =\"25435136\"]\n  7 [size=\"91343360\", alpha=\"0.16\", expect_size=\"36537344\"] \n  7 -> 8 [size =\"36537344\"]\n  8 [size=\"20910080\", alpha=\"0.18\", expect_size=\"8364032\"] \n  8 -> 9 [size =\"8364032\"]\n  9 [size=\"128614400\", alpha=\"0.15\", expect_size=\"51445760\"] \n  9 -> 10 [size =\"51445760\"]\n  10 [size=\"67192320\", alpha=\"0.06\", expect_size=\"26876928\"] \n  10 -> 11 [size =\"26876928\"]\n  11 [size=\"34375680\", alpha=\"0.03\", expect_size=\"13750272\"] \n  11 -> 12 [size =\"13750272\"]\n  12 [size=\"25428480\", alpha=\"0.05\", expect_size=\"10171392\"] \n  12 -> 13 [size =\"10171392\"]\n  13 [size=\"61250560\", alpha=\"0.14\", expect_size=\"24500224\"] \n  13 -> 14 [size =\"24500224\"]\n  14 [size=\"19171840\", alpha=\"0.18\", expect_size=\"7668736\"] \n  14 -> 15 [size =\"7668736\"]\n  15 [size=\"106306560\", alpha=\"0.10\", expect_size=\"42522624\"] \n  15 -> 16 [size =\"42522624\"]\n  16 [size=\"14592000\", alpha=\"0.06\", expect_size=\"5836800\"] \n  16 -> 17 [size =\"5836800\"]\n  17 [size=\"115399680\", alpha=\"0.12\", expect_size=\"46159872\"] \n  17 -> 18 [size =\"46159872\"]\n  18 [size=\"91445760\", alpha=\"0.12\", expect_size=\"36578304\"] \n  18 -> 19 [size =\"36578304\"]\n  19 [size=\"80586240\", alpha=\"0.04\", expect_size=\"32234496\"] \n  19 -> 20 [size =\"32234496\"]\n  20 [size=\"53091840\", alpha=\"0.08\", expect_size=\"21236736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103604224\", alpha=\"0.19\", expect_size=\"51802112\"] \n  1 -> 18 [size =\"51802112\"]\n  1 -> 19 [size =\"51802112\"]\n  1 -> 20 [size =\"51802112\"]\n  2 [size=\"21780480\", alpha=\"0.07\", expect_size=\"10890240\"] \n  2 -> 19 [size =\"10890240\"]\n  2 -> 20 [size =\"10890240\"]\n  3 [size=\"23783424\", alpha=\"0.18\", expect_size=\"11891712\"] \n  3 -> 19 [size =\"11891712\"]\n  4 [size=\"11679744\", alpha=\"0.00\", expect_size=\"5839872\"] \n  4 -> 18 [size =\"5839872\"]\n  4 -> 19 [size =\"5839872\"]\n  4 -> 20 [size =\"5839872\"]\n  5 [size=\"21923840\", alpha=\"0.17\", expect_size=\"10961920\"] \n  5 -> 18 [size =\"10961920\"]\n  5 -> 20 [size =\"10961920\"]\n  6 [size=\"65925120\", alpha=\"0.11\", expect_size=\"32962560\"] \n  6 -> 18 [size =\"32962560\"]\n  6 -> 19 [size =\"32962560\"]\n  6 -> 20 [size =\"32962560\"]\n  7 [size=\"102504448\", alpha=\"0.07\", expect_size=\"51252224\"] \n  7 -> 18 [size =\"51252224\"]\n  7 -> 19 [size =\"51252224\"]\n  8 [size=\"77279232\", alpha=\"0.15\", expect_size=\"38639616\"] \n  8 -> 18 [size =\"38639616\"]\n  8 -> 19 [size =\"38639616\"]\n  9 [size=\"30640128\", alpha=\"0.07\", expect_size=\"15320064\"] \n  9 -> 18 [size =\"15320064\"]\n  10 [size=\"93366272\", alpha=\"0.03\", expect_size=\"46683136\"] \n  10 -> 18 [size =\"46683136\"]\n  10 -> 19 [size =\"46683136\"]\n  11 [size=\"87048192\", alpha=\"0.16\", expect_size=\"43524096\"] \n  11 -> 20 [size =\"43524096\"]\n  12 [size=\"81930240\", alpha=\"0.03\", expect_size=\"40965120\"] \n  12 -> 20 [size =\"40965120\"]\n  13 [size=\"18421760\", alpha=\"0.05\", expect_size=\"9210880\"] \n  13 -> 17 [size =\"9210880\"]\n  13 -> 20 [size =\"9210880\"]\n  14 [size=\"11253760\", alpha=\"0.13\", expect_size=\"5626880\"] \n  14 -> 18 [size =\"5626880\"]\n  14 -> 20 [size =\"5626880\"]\n  15 [size=\"13088768\", alpha=\"0.09\", expect_size=\"6544384\"] \n  15 -> 18 [size =\"6544384\"]\n  15 -> 20 [size =\"6544384\"]\n  16 [size=\"92954624\", alpha=\"0.17\", expect_size=\"46477312\"] \n  16 -> 18 [size =\"46477312\"]\n  16 -> 20 [size =\"46477312\"]\n  17 [size=\"50520064\", alpha=\"0.17\", expect_size=\"25260032\"] \n  18 [size=\"82231296\", alpha=\"0.18\", expect_size=\"41115648\"] \n  19 [size=\"60542976\", alpha=\"0.05\", expect_size=\"30271488\"] \n  20 [size=\"92471296\", alpha=\"0.15\", expect_size=\"46235648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138257067\", alpha=\"0.01\", expect_size=\"41477120\"] \n  1 -> 10 [size =\"41477120\"]\n  1 -> 12 [size =\"41477120\"]\n  1 -> 14 [size =\"41477120\"]\n  2 [size=\"30132907\", alpha=\"0.15\", expect_size=\"9039872\"] \n  2 -> 10 [size =\"9039872\"]\n  2 -> 13 [size =\"9039872\"]\n  3 [size=\"141134507\", alpha=\"0.17\", expect_size=\"42340352\"] \n  3 -> 10 [size =\"42340352\"]\n  3 -> 11 [size =\"42340352\"]\n  3 -> 12 [size =\"42340352\"]\n  3 -> 15 [size =\"42340352\"]\n  4 [size=\"52442453\", alpha=\"0.02\", expect_size=\"15732736\"] \n  4 -> 9 [size =\"15732736\"]\n  4 -> 12 [size =\"15732736\"]\n  4 -> 13 [size =\"15732736\"]\n  4 -> 15 [size =\"15732736\"]\n  5 [size=\"128314027\", alpha=\"0.12\", expect_size=\"38494208\"] \n  5 -> 10 [size =\"38494208\"]\n  5 -> 12 [size =\"38494208\"]\n  5 -> 14 [size =\"38494208\"]\n  5 -> 15 [size =\"38494208\"]\n  6 [size=\"63713280\", alpha=\"0.02\", expect_size=\"19113984\"] \n  6 -> 9 [size =\"19113984\"]\n  6 -> 10 [size =\"19113984\"]\n  6 -> 12 [size =\"19113984\"]\n  6 -> 14 [size =\"19113984\"]\n  6 -> 15 [size =\"19113984\"]\n  7 [size=\"113578667\", alpha=\"0.09\", expect_size=\"34073600\"] \n  7 -> 9 [size =\"34073600\"]\n  7 -> 10 [size =\"34073600\"]\n  7 -> 12 [size =\"34073600\"]\n  7 -> 15 [size =\"34073600\"]\n  8 [size=\"98993493\", alpha=\"0.13\", expect_size=\"29698048\"] \n  8 -> 11 [size =\"29698048\"]\n  8 -> 12 [size =\"29698048\"]\n  8 -> 15 [size =\"29698048\"]\n  9 [size=\"55647573\", alpha=\"0.00\", expect_size=\"16694272\"] \n  9 -> 17 [size =\"16694272\"]\n  9 -> 19 [size =\"16694272\"]\n  10 [size=\"48913067\", alpha=\"0.05\", expect_size=\"14673920\"] \n  10 -> 17 [size =\"14673920\"]\n  10 -> 18 [size =\"14673920\"]\n  10 -> 19 [size =\"14673920\"]\n  10 -> 20 [size =\"14673920\"]\n  11 [size=\"63508480\", alpha=\"0.12\", expect_size=\"19052544\"] \n  11 -> 17 [size =\"19052544\"]\n  11 -> 18 [size =\"19052544\"]\n  11 -> 19 [size =\"19052544\"]\n  11 -> 20 [size =\"19052544\"]\n  12 [size=\"73308160\", alpha=\"0.10\", expect_size=\"21992448\"] \n  12 -> 19 [size =\"21992448\"]\n  12 -> 20 [size =\"21992448\"]\n  13 [size=\"34474667\", alpha=\"0.09\", expect_size=\"10342400\"] \n  13 -> 16 [size =\"10342400\"]\n  13 -> 19 [size =\"10342400\"]\n  13 -> 20 [size =\"10342400\"]\n  14 [size=\"166283947\", alpha=\"0.12\", expect_size=\"49885184\"] \n  14 -> 17 [size =\"49885184\"]\n  14 -> 19 [size =\"49885184\"]\n  15 [size=\"25726293\", alpha=\"0.16\", expect_size=\"7717888\"] \n  15 -> 17 [size =\"7717888\"]\n  15 -> 19 [size =\"7717888\"]\n  15 -> 20 [size =\"7717888\"]\n  16 [size=\"122999467\", alpha=\"0.13\", expect_size=\"36899840\"] \n  17 [size=\"142315520\", alpha=\"0.18\", expect_size=\"42694656\"] \n  18 [size=\"56398507\", alpha=\"0.03\", expect_size=\"16919552\"] \n  19 [size=\"156699307\", alpha=\"0.03\", expect_size=\"47009792\"] \n  20 [size=\"158504960\", alpha=\"0.15\", expect_size=\"47551488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45667840\", alpha=\"0.03\", expect_size=\"18267136\"] \n  1 -> 2 [size =\"18267136\"]\n  2 [size=\"96376320\", alpha=\"0.14\", expect_size=\"38550528\"] \n  2 -> 3 [size =\"38550528\"]\n  3 [size=\"80192000\", alpha=\"0.04\", expect_size=\"32076800\"] \n  3 -> 4 [size =\"32076800\"]\n  4 [size=\"31096320\", alpha=\"0.09\", expect_size=\"12438528\"] \n  4 -> 5 [size =\"12438528\"]\n  5 [size=\"100536320\", alpha=\"0.18\", expect_size=\"40214528\"] \n  5 -> 6 [size =\"40214528\"]\n  6 [size=\"63467520\", alpha=\"0.14\", expect_size=\"25387008\"] \n  6 -> 7 [size =\"25387008\"]\n  7 [size=\"123824640\", alpha=\"0.03\", expect_size=\"49529856\"] \n  7 -> 8 [size =\"49529856\"]\n  8 [size=\"119961600\", alpha=\"0.14\", expect_size=\"47984640\"] \n  8 -> 9 [size =\"47984640\"]\n  9 [size=\"88442880\", alpha=\"0.16\", expect_size=\"35377152\"] \n  9 -> 10 [size =\"35377152\"]\n  10 [size=\"97896960\", alpha=\"0.10\", expect_size=\"39158784\"] \n  10 -> 11 [size =\"39158784\"]\n  11 [size=\"122263040\", alpha=\"0.05\", expect_size=\"48905216\"] \n  11 -> 12 [size =\"48905216\"]\n  12 [size=\"22914560\", alpha=\"0.04\", expect_size=\"9165824\"] \n  12 -> 13 [size =\"9165824\"]\n  13 [size=\"105487360\", alpha=\"0.17\", expect_size=\"42194944\"] \n  13 -> 14 [size =\"42194944\"]\n  14 [size=\"13872640\", alpha=\"0.06\", expect_size=\"5549056\"] \n  14 -> 15 [size =\"5549056\"]\n  15 [size=\"69821440\", alpha=\"0.09\", expect_size=\"27928576\"] \n  15 -> 16 [size =\"27928576\"]\n  16 [size=\"56263680\", alpha=\"0.12\", expect_size=\"22505472\"] \n  16 -> 17 [size =\"22505472\"]\n  17 [size=\"19801600\", alpha=\"0.13\", expect_size=\"7920640\"] \n  17 -> 18 [size =\"7920640\"]\n  18 [size=\"37557760\", alpha=\"0.17\", expect_size=\"15023104\"] \n  18 -> 19 [size =\"15023104\"]\n  19 [size=\"117829120\", alpha=\"0.03\", expect_size=\"47131648\"] \n  19 -> 20 [size =\"47131648\"]\n  20 [size=\"95480320\", alpha=\"0.11\", expect_size=\"38192128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64682667\", alpha=\"0.11\", expect_size=\"19404800\"] \n  1 -> 15 [size =\"19404800\"]\n  1 -> 16 [size =\"19404800\"]\n  1 -> 16 [size =\"19404800\"]\n  1 -> 17 [size =\"19404800\"]\n  2 [size=\"165621760\", alpha=\"0.02\", expect_size=\"49686528\"] \n  2 -> 19 [size =\"49686528\"]\n  2 -> 20 [size =\"49686528\"]\n  3 [size=\"170178560\", alpha=\"0.20\", expect_size=\"51053568\"] \n  3 -> 14 [size =\"51053568\"]\n  3 -> 17 [size =\"51053568\"]\n  3 -> 19 [size =\"51053568\"]\n  4 [size=\"93108907\", alpha=\"0.07\", expect_size=\"27932672\"] \n  4 -> 14 [size =\"27932672\"]\n  4 -> 17 [size =\"27932672\"]\n  4 -> 18 [size =\"27932672\"]\n  5 [size=\"106738347\", alpha=\"0.09\", expect_size=\"32021504\"] \n  5 -> 14 [size =\"32021504\"]\n  5 -> 15 [size =\"32021504\"]\n  5 -> 16 [size =\"32021504\"]\n  5 -> 17 [size =\"32021504\"]\n  5 -> 19 [size =\"32021504\"]\n  6 [size=\"122804907\", alpha=\"0.10\", expect_size=\"36841472\"] \n  6 -> 14 [size =\"36841472\"]\n  6 -> 17 [size =\"36841472\"]\n  6 -> 19 [size =\"36841472\"]\n  7 [size=\"159948800\", alpha=\"0.01\", expect_size=\"47984640\"] \n  7 -> 14 [size =\"47984640\"]\n  7 -> 18 [size =\"47984640\"]\n  8 [size=\"163938987\", alpha=\"0.13\", expect_size=\"49181696\"] \n  8 -> 14 [size =\"49181696\"]\n  8 -> 15 [size =\"49181696\"]\n  8 -> 17 [size =\"49181696\"]\n  8 -> 18 [size =\"49181696\"]\n  8 -> 19 [size =\"49181696\"]\n  8 -> 20 [size =\"49181696\"]\n  9 [size=\"169898667\", alpha=\"0.18\", expect_size=\"50969600\"] \n  9 -> 15 [size =\"50969600\"]\n  9 -> 16 [size =\"50969600\"]\n  9 -> 19 [size =\"50969600\"]\n  9 -> 20 [size =\"50969600\"]\n  10 [size=\"136782507\", alpha=\"0.07\", expect_size=\"41034752\"] \n  10 -> 14 [size =\"41034752\"]\n  10 -> 15 [size =\"41034752\"]\n  10 -> 16 [size =\"41034752\"]\n  10 -> 18 [size =\"41034752\"]\n  10 -> 19 [size =\"41034752\"]\n  10 -> 20 [size =\"41034752\"]\n  11 [size=\"122938027\", alpha=\"0.18\", expect_size=\"36881408\"] \n  11 -> 15 [size =\"36881408\"]\n  11 -> 16 [size =\"36881408\"]\n  11 -> 16 [size =\"36881408\"]\n  11 -> 19 [size =\"36881408\"]\n  12 [size=\"52251307\", alpha=\"0.09\", expect_size=\"15675392\"] \n  12 -> 14 [size =\"15675392\"]\n  12 -> 15 [size =\"15675392\"]\n  12 -> 16 [size =\"15675392\"]\n  12 -> 17 [size =\"15675392\"]\n  13 [size=\"67662507\", alpha=\"0.11\", expect_size=\"20298752\"] \n  13 -> 15 [size =\"20298752\"]\n  13 -> 15 [size =\"20298752\"]\n  13 -> 16 [size =\"20298752\"]\n  13 -> 17 [size =\"20298752\"]\n  13 -> 18 [size =\"20298752\"]\n  14 [size=\"64808960\", alpha=\"0.17\", expect_size=\"19442688\"] \n  15 [size=\"116906667\", alpha=\"0.18\", expect_size=\"35072000\"] \n  16 [size=\"28388693\", alpha=\"0.19\", expect_size=\"8516608\"] \n  17 [size=\"110615893\", alpha=\"0.16\", expect_size=\"33184768\"] \n  18 [size=\"119159467\", alpha=\"0.14\", expect_size=\"35747840\"] \n  19 [size=\"63682560\", alpha=\"0.05\", expect_size=\"19104768\"] \n  20 [size=\"47059627\", alpha=\"0.18\", expect_size=\"14117888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23085056\", alpha=\"0.11\", expect_size=\"11542528\"] \n  1 -> 2 [size =\"11542528\"]\n  1 -> 3 [size =\"11542528\"]\n  2 [size=\"101681152\", alpha=\"0.04\", expect_size=\"50840576\"] \n  3 [size=\"53704704\", alpha=\"0.11\", expect_size=\"26852352\"] \n  3 -> 4 [size =\"26852352\"]\n  3 -> 5 [size =\"26852352\"]\n  4 [size=\"52195328\", alpha=\"0.04\", expect_size=\"26097664\"] \n  4 -> 6 [size =\"26097664\"]\n  5 [size=\"48459776\", alpha=\"0.08\", expect_size=\"24229888\"] \n  5 -> 7 [size =\"24229888\"]\n  6 [size=\"97617920\", alpha=\"0.08\", expect_size=\"48808960\"] \n  6 -> 8 [size =\"48808960\"]\n  7 [size=\"48683008\", alpha=\"0.03\", expect_size=\"24341504\"] \n  7 -> 8 [size =\"24341504\"]\n  8 [size=\"40173568\", alpha=\"0.11\", expect_size=\"20086784\"] \n  8 -> 9 [size =\"20086784\"]\n  8 -> 10 [size =\"20086784\"]\n  9 [size=\"29663232\", alpha=\"0.15\", expect_size=\"14831616\"] \n  9 -> 11 [size =\"14831616\"]\n  10 [size=\"85133312\", alpha=\"0.15\", expect_size=\"42566656\"] \n  10 -> 11 [size =\"42566656\"]\n  10 -> 12 [size =\"42566656\"]\n  11 [size=\"67344384\", alpha=\"0.14\", expect_size=\"33672192\"] \n  11 -> 13 [size =\"33672192\"]\n  12 [size=\"25690112\", alpha=\"0.10\", expect_size=\"12845056\"] \n  12 -> 13 [size =\"12845056\"]\n  13 [size=\"45252608\", alpha=\"0.07\", expect_size=\"22626304\"] \n  13 -> 14 [size =\"22626304\"]\n  13 -> 15 [size =\"22626304\"]\n  14 [size=\"98197504\", alpha=\"0.17\", expect_size=\"49098752\"] \n  14 -> 16 [size =\"49098752\"]\n  14 -> 17 [size =\"49098752\"]\n  15 [size=\"21329920\", alpha=\"0.19\", expect_size=\"10664960\"] \n  15 -> 16 [size =\"10664960\"]\n  15 -> 17 [size =\"10664960\"]\n  16 [size=\"59314176\", alpha=\"0.01\", expect_size=\"29657088\"] \n  16 -> 18 [size =\"29657088\"]\n  17 [size=\"97271808\", alpha=\"0.06\", expect_size=\"48635904\"] \n  17 -> 18 [size =\"48635904\"]\n  18 [size=\"16379904\", alpha=\"0.06\", expect_size=\"8189952\"] \n  18 -> 19 [size =\"8189952\"]\n  18 -> 20 [size =\"8189952\"]\n  19 [size=\"69650432\", alpha=\"0.00\", expect_size=\"34825216\"] \n  20 [size=\"46626816\", alpha=\"0.10\", expect_size=\"23313408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69480960\", alpha=\"0.13\", expect_size=\"27792384\"] \n  1 -> 8 [size =\"27792384\"]\n  1 -> 10 [size =\"27792384\"]\n  1 -> 11 [size =\"27792384\"]\n  2 [size=\"87226880\", alpha=\"0.13\", expect_size=\"34890752\"] \n  2 -> 8 [size =\"34890752\"]\n  2 -> 10 [size =\"34890752\"]\n  2 -> 11 [size =\"34890752\"]\n  2 -> 12 [size =\"34890752\"]\n  3 [size=\"81932800\", alpha=\"0.03\", expect_size=\"32773120\"] \n  3 -> 13 [size =\"32773120\"]\n  3 -> 15 [size =\"32773120\"]\n  4 [size=\"27624960\", alpha=\"0.02\", expect_size=\"11049984\"] \n  4 -> 12 [size =\"11049984\"]\n  4 -> 13 [size =\"11049984\"]\n  5 [size=\"118896640\", alpha=\"0.09\", expect_size=\"47558656\"] \n  5 -> 10 [size =\"47558656\"]\n  5 -> 14 [size =\"47558656\"]\n  5 -> 15 [size =\"47558656\"]\n  6 [size=\"60648960\", alpha=\"0.14\", expect_size=\"24259584\"] \n  6 -> 8 [size =\"24259584\"]\n  6 -> 10 [size =\"24259584\"]\n  6 -> 13 [size =\"24259584\"]\n  7 [size=\"70566400\", alpha=\"0.01\", expect_size=\"28226560\"] \n  7 -> 8 [size =\"28226560\"]\n  7 -> 9 [size =\"28226560\"]\n  7 -> 10 [size =\"28226560\"]\n  8 [size=\"93117440\", alpha=\"0.09\", expect_size=\"37246976\"] \n  8 -> 19 [size =\"37246976\"]\n  9 [size=\"53460480\", alpha=\"0.08\", expect_size=\"21384192\"] \n  10 [size=\"29537280\", alpha=\"0.05\", expect_size=\"11814912\"] \n  10 -> 16 [size =\"11814912\"]\n  11 [size=\"15692800\", alpha=\"0.03\", expect_size=\"6277120\"] \n  11 -> 18 [size =\"6277120\"]\n  11 -> 19 [size =\"6277120\"]\n  12 [size=\"95301120\", alpha=\"0.05\", expect_size=\"38120448\"] \n  12 -> 16 [size =\"38120448\"]\n  12 -> 19 [size =\"38120448\"]\n  13 [size=\"55795200\", alpha=\"0.16\", expect_size=\"22318080\"] \n  13 -> 17 [size =\"22318080\"]\n  14 [size=\"73052160\", alpha=\"0.13\", expect_size=\"29220864\"] \n  15 [size=\"85227520\", alpha=\"0.04\", expect_size=\"34091008\"] \n  15 -> 19 [size =\"34091008\"]\n  15 -> 20 [size =\"34091008\"]\n  16 [size=\"18718720\", alpha=\"0.09\", expect_size=\"7487488\"] \n  17 [size=\"98490880\", alpha=\"0.15\", expect_size=\"39396352\"] \n  18 [size=\"102958080\", alpha=\"0.14\", expect_size=\"41183232\"] \n  19 [size=\"37888000\", alpha=\"0.08\", expect_size=\"15155200\"] \n  20 [size=\"87226880\", alpha=\"0.07\", expect_size=\"34890752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58859520\", alpha=\"0.16\", expect_size=\"29429760\"] \n  2 [size=\"41390080\", alpha=\"0.06\", expect_size=\"20695040\"] \n  2 -> 17 [size =\"20695040\"]\n  3 [size=\"28948480\", alpha=\"0.00\", expect_size=\"14474240\"] \n  3 -> 18 [size =\"14474240\"]\n  4 [size=\"22927360\", alpha=\"0.01\", expect_size=\"11463680\"] \n  4 -> 19 [size =\"11463680\"]\n  5 [size=\"61253632\", alpha=\"0.13\", expect_size=\"30626816\"] \n  5 -> 17 [size =\"30626816\"]\n  5 -> 18 [size =\"30626816\"]\n  5 -> 19 [size =\"30626816\"]\n  6 [size=\"32329728\", alpha=\"0.13\", expect_size=\"16164864\"] \n  6 -> 17 [size =\"16164864\"]\n  7 [size=\"29431808\", alpha=\"0.17\", expect_size=\"14715904\"] \n  7 -> 17 [size =\"14715904\"]\n  8 [size=\"50307072\", alpha=\"0.11\", expect_size=\"25153536\"] \n  8 -> 17 [size =\"25153536\"]\n  8 -> 19 [size =\"25153536\"]\n  9 [size=\"40237056\", alpha=\"0.15\", expect_size=\"20118528\"] \n  9 -> 19 [size =\"20118528\"]\n  10 [size=\"59731968\", alpha=\"0.13\", expect_size=\"29865984\"] \n  10 -> 20 [size =\"29865984\"]\n  11 [size=\"18688000\", alpha=\"0.10\", expect_size=\"9344000\"] \n  12 [size=\"93003776\", alpha=\"0.19\", expect_size=\"46501888\"] \n  12 -> 17 [size =\"46501888\"]\n  12 -> 19 [size =\"46501888\"]\n  13 [size=\"24942592\", alpha=\"0.18\", expect_size=\"12471296\"] \n  13 -> 17 [size =\"12471296\"]\n  14 [size=\"26859520\", alpha=\"0.07\", expect_size=\"13429760\"] \n  14 -> 16 [size =\"13429760\"]\n  15 [size=\"30521344\", alpha=\"0.14\", expect_size=\"15260672\"] \n  15 -> 17 [size =\"15260672\"]\n  15 -> 19 [size =\"15260672\"]\n  16 [size=\"93181952\", alpha=\"0.11\", expect_size=\"46590976\"] \n  17 [size=\"62068736\", alpha=\"0.02\", expect_size=\"31034368\"] \n  18 [size=\"49381376\", alpha=\"0.19\", expect_size=\"24690688\"] \n  19 [size=\"102633472\", alpha=\"0.15\", expect_size=\"51316736\"] \n  20 [size=\"80357376\", alpha=\"0.07\", expect_size=\"40178688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36119893\", alpha=\"0.03\", expect_size=\"10835968\"] \n  2 [size=\"59897173\", alpha=\"0.17\", expect_size=\"17969152\"] \n  2 -> 19 [size =\"17969152\"]\n  3 [size=\"65781760\", alpha=\"0.11\", expect_size=\"19734528\"] \n  3 -> 16 [size =\"19734528\"]\n  4 [size=\"167850667\", alpha=\"0.03\", expect_size=\"50355200\"] \n  4 -> 18 [size =\"50355200\"]\n  5 [size=\"20852053\", alpha=\"0.11\", expect_size=\"6255616\"] \n  5 -> 17 [size =\"6255616\"]\n  6 [size=\"137045333\", alpha=\"0.10\", expect_size=\"41113600\"] \n  6 -> 16 [size =\"41113600\"]\n  7 [size=\"71837013\", alpha=\"0.16\", expect_size=\"21551104\"] \n  7 -> 17 [size =\"21551104\"]\n  7 -> 19 [size =\"21551104\"]\n  7 -> 20 [size =\"21551104\"]\n  8 [size=\"43322027\", alpha=\"0.11\", expect_size=\"12996608\"] \n  9 [size=\"133075627\", alpha=\"0.09\", expect_size=\"39922688\"] \n  10 [size=\"119691947\", alpha=\"0.01\", expect_size=\"35907584\"] \n  10 -> 19 [size =\"35907584\"]\n  11 [size=\"102645760\", alpha=\"0.01\", expect_size=\"30793728\"] \n  11 -> 18 [size =\"30793728\"]\n  11 -> 20 [size =\"30793728\"]\n  12 [size=\"127218347\", alpha=\"0.05\", expect_size=\"38165504\"] \n  12 -> 17 [size =\"38165504\"]\n  12 -> 19 [size =\"38165504\"]\n  12 -> 20 [size =\"38165504\"]\n  13 [size=\"106752000\", alpha=\"0.07\", expect_size=\"32025600\"] \n  13 -> 17 [size =\"32025600\"]\n  14 [size=\"34532693\", alpha=\"0.12\", expect_size=\"10359808\"] \n  14 -> 18 [size =\"10359808\"]\n  14 -> 19 [size =\"10359808\"]\n  15 [size=\"57279147\", alpha=\"0.18\", expect_size=\"17183744\"] \n  16 [size=\"140697600\", alpha=\"0.13\", expect_size=\"42209280\"] \n  17 [size=\"61791573\", alpha=\"0.06\", expect_size=\"18537472\"] \n  18 [size=\"26705920\", alpha=\"0.02\", expect_size=\"8011776\"] \n  19 [size=\"110127787\", alpha=\"0.16\", expect_size=\"33038336\"] \n  20 [size=\"24975360\", alpha=\"0.03\", expect_size=\"7492608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130460160\", alpha=\"0.04\", expect_size=\"52184064\"] \n  1 -> 2 [size =\"52184064\"]\n  2 [size=\"61672960\", alpha=\"0.10\", expect_size=\"24669184\"] \n  2 -> 3 [size =\"24669184\"]\n  3 [size=\"32020480\", alpha=\"0.03\", expect_size=\"12808192\"] \n  3 -> 4 [size =\"12808192\"]\n  4 [size=\"105602560\", alpha=\"0.10\", expect_size=\"42241024\"] \n  4 -> 5 [size =\"42241024\"]\n  5 [size=\"72389120\", alpha=\"0.12\", expect_size=\"28955648\"] \n  5 -> 6 [size =\"28955648\"]\n  6 [size=\"16340480\", alpha=\"0.20\", expect_size=\"6536192\"] \n  6 -> 7 [size =\"6536192\"]\n  7 [size=\"129640960\", alpha=\"0.16\", expect_size=\"51856384\"] \n  7 -> 8 [size =\"51856384\"]\n  8 [size=\"18772480\", alpha=\"0.07\", expect_size=\"7508992\"] \n  8 -> 9 [size =\"7508992\"]\n  9 [size=\"107056640\", alpha=\"0.11\", expect_size=\"42822656\"] \n  9 -> 10 [size =\"42822656\"]\n  10 [size=\"35522560\", alpha=\"0.13\", expect_size=\"14209024\"] \n  10 -> 11 [size =\"14209024\"]\n  11 [size=\"14497280\", alpha=\"0.09\", expect_size=\"5798912\"] \n  11 -> 12 [size =\"5798912\"]\n  12 [size=\"35970560\", alpha=\"0.14\", expect_size=\"14388224\"] \n  12 -> 13 [size =\"14388224\"]\n  13 [size=\"93547520\", alpha=\"0.06\", expect_size=\"37419008\"] \n  13 -> 14 [size =\"37419008\"]\n  14 [size=\"110343680\", alpha=\"0.08\", expect_size=\"44137472\"] \n  14 -> 15 [size =\"44137472\"]\n  15 [size=\"48412160\", alpha=\"0.14\", expect_size=\"19364864\"] \n  15 -> 16 [size =\"19364864\"]\n  16 [size=\"117347840\", alpha=\"0.05\", expect_size=\"46939136\"] \n  16 -> 17 [size =\"46939136\"]\n  17 [size=\"117017600\", alpha=\"0.14\", expect_size=\"46807040\"] \n  17 -> 18 [size =\"46807040\"]\n  18 [size=\"93381120\", alpha=\"0.19\", expect_size=\"37352448\"] \n  18 -> 19 [size =\"37352448\"]\n  19 [size=\"15278080\", alpha=\"0.04\", expect_size=\"6111232\"] \n  19 -> 20 [size =\"6111232\"]\n  20 [size=\"81180160\", alpha=\"0.15\", expect_size=\"32472064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68590933\", alpha=\"0.08\", expect_size=\"20577280\"] \n  1 -> 17 [size =\"20577280\"]\n  2 [size=\"119405227\", alpha=\"0.01\", expect_size=\"35821568\"] \n  3 [size=\"21118293\", alpha=\"0.11\", expect_size=\"6335488\"] \n  3 -> 16 [size =\"6335488\"]\n  4 [size=\"32658773\", alpha=\"0.17\", expect_size=\"9797632\"] \n  4 -> 16 [size =\"9797632\"]\n  4 -> 17 [size =\"9797632\"]\n  4 -> 19 [size =\"9797632\"]\n  5 [size=\"92876800\", alpha=\"0.15\", expect_size=\"27863040\"] \n  5 -> 14 [size =\"27863040\"]\n  5 -> 16 [size =\"27863040\"]\n  6 [size=\"65778347\", alpha=\"0.13\", expect_size=\"19733504\"] \n  6 -> 14 [size =\"19733504\"]\n  6 -> 15 [size =\"19733504\"]\n  7 [size=\"36799147\", alpha=\"0.01\", expect_size=\"11039744\"] \n  7 -> 14 [size =\"11039744\"]\n  7 -> 16 [size =\"11039744\"]\n  7 -> 17 [size =\"11039744\"]\n  8 [size=\"117220693\", alpha=\"0.19\", expect_size=\"35166208\"] \n  8 -> 14 [size =\"35166208\"]\n  8 -> 15 [size =\"35166208\"]\n  8 -> 16 [size =\"35166208\"]\n  8 -> 17 [size =\"35166208\"]\n  8 -> 20 [size =\"35166208\"]\n  9 [size=\"104997547\", alpha=\"0.16\", expect_size=\"31499264\"] \n  9 -> 14 [size =\"31499264\"]\n  9 -> 15 [size =\"31499264\"]\n  9 -> 18 [size =\"31499264\"]\n  10 [size=\"156538880\", alpha=\"0.17\", expect_size=\"46961664\"] \n  10 -> 14 [size =\"46961664\"]\n  10 -> 15 [size =\"46961664\"]\n  11 [size=\"84138667\", alpha=\"0.12\", expect_size=\"25241600\"] \n  11 -> 13 [size =\"25241600\"]\n  11 -> 15 [size =\"25241600\"]\n  11 -> 17 [size =\"25241600\"]\n  11 -> 18 [size =\"25241600\"]\n  12 [size=\"145049600\", alpha=\"0.05\", expect_size=\"43514880\"] \n  12 -> 13 [size =\"43514880\"]\n  12 -> 17 [size =\"43514880\"]\n  13 [size=\"151965013\", alpha=\"0.04\", expect_size=\"45589504\"] \n  14 [size=\"84572160\", alpha=\"0.01\", expect_size=\"25371648\"] \n  15 [size=\"59910827\", alpha=\"0.03\", expect_size=\"17973248\"] \n  16 [size=\"20070400\", alpha=\"0.03\", expect_size=\"6021120\"] \n  17 [size=\"119753387\", alpha=\"0.00\", expect_size=\"35926016\"] \n  18 [size=\"131409920\", alpha=\"0.15\", expect_size=\"39422976\"] \n  19 [size=\"120552107\", alpha=\"0.04\", expect_size=\"36165632\"] \n  20 [size=\"90507947\", alpha=\"0.20\", expect_size=\"27152384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60808533\", alpha=\"0.10\", expect_size=\"18242560\"] \n  1 -> 2 [size =\"18242560\"]\n  2 [size=\"156818773\", alpha=\"0.08\", expect_size=\"47045632\"] \n  2 -> 3 [size =\"47045632\"]\n  3 [size=\"94146560\", alpha=\"0.00\", expect_size=\"28243968\"] \n  3 -> 4 [size =\"28243968\"]\n  4 [size=\"100157440\", alpha=\"0.16\", expect_size=\"30047232\"] \n  4 -> 5 [size =\"30047232\"]\n  5 [size=\"79517013\", alpha=\"0.13\", expect_size=\"23855104\"] \n  5 -> 6 [size =\"23855104\"]\n  6 [size=\"41594880\", alpha=\"0.10\", expect_size=\"12478464\"] \n  6 -> 7 [size =\"12478464\"]\n  7 [size=\"142004907\", alpha=\"0.03\", expect_size=\"42601472\"] \n  7 -> 8 [size =\"42601472\"]\n  8 [size=\"157074773\", alpha=\"0.06\", expect_size=\"47122432\"] \n  8 -> 9 [size =\"47122432\"]\n  9 [size=\"71079253\", alpha=\"0.07\", expect_size=\"21323776\"] \n  9 -> 10 [size =\"21323776\"]\n  10 [size=\"168263680\", alpha=\"0.15\", expect_size=\"50479104\"] \n  10 -> 11 [size =\"50479104\"]\n  11 [size=\"163095893\", alpha=\"0.05\", expect_size=\"48928768\"] \n  11 -> 12 [size =\"48928768\"]\n  12 [size=\"83118080\", alpha=\"0.08\", expect_size=\"24935424\"] \n  12 -> 13 [size =\"24935424\"]\n  13 [size=\"146633387\", alpha=\"0.06\", expect_size=\"43990016\"] \n  13 -> 14 [size =\"43990016\"]\n  14 [size=\"148398080\", alpha=\"0.07\", expect_size=\"44519424\"] \n  14 -> 15 [size =\"44519424\"]\n  15 [size=\"113408000\", alpha=\"0.17\", expect_size=\"34022400\"] \n  15 -> 16 [size =\"34022400\"]\n  16 [size=\"61091840\", alpha=\"0.18\", expect_size=\"18327552\"] \n  16 -> 17 [size =\"18327552\"]\n  17 [size=\"143557973\", alpha=\"0.13\", expect_size=\"43067392\"] \n  17 -> 18 [size =\"43067392\"]\n  18 [size=\"169536853\", alpha=\"0.05\", expect_size=\"50861056\"] \n  18 -> 19 [size =\"50861056\"]\n  19 [size=\"60716373\", alpha=\"0.08\", expect_size=\"18214912\"] \n  19 -> 20 [size =\"18214912\"]\n  20 [size=\"118350507\", alpha=\"0.07\", expect_size=\"35505152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61245440\", alpha=\"0.13\", expect_size=\"30622720\"] \n  1 -> 20 [size =\"30622720\"]\n  2 [size=\"60893184\", alpha=\"0.15\", expect_size=\"30446592\"] \n  2 -> 20 [size =\"30446592\"]\n  3 [size=\"81127424\", alpha=\"0.12\", expect_size=\"40563712\"] \n  3 -> 13 [size =\"40563712\"]\n  3 -> 20 [size =\"40563712\"]\n  4 [size=\"33918976\", alpha=\"0.11\", expect_size=\"16959488\"] \n  4 -> 17 [size =\"16959488\"]\n  5 [size=\"53035008\", alpha=\"0.10\", expect_size=\"26517504\"] \n  5 -> 14 [size =\"26517504\"]\n  5 -> 16 [size =\"26517504\"]\n  5 -> 19 [size =\"26517504\"]\n  6 [size=\"45426688\", alpha=\"0.16\", expect_size=\"22713344\"] \n  6 -> 14 [size =\"22713344\"]\n  6 -> 18 [size =\"22713344\"]\n  7 [size=\"50081792\", alpha=\"0.08\", expect_size=\"25040896\"] \n  7 -> 14 [size =\"25040896\"]\n  7 -> 15 [size =\"25040896\"]\n  7 -> 18 [size =\"25040896\"]\n  7 -> 20 [size =\"25040896\"]\n  8 [size=\"69683200\", alpha=\"0.07\", expect_size=\"34841600\"] \n  8 -> 17 [size =\"34841600\"]\n  8 -> 18 [size =\"34841600\"]\n  8 -> 20 [size =\"34841600\"]\n  9 [size=\"95963136\", alpha=\"0.04\", expect_size=\"47981568\"] \n  9 -> 13 [size =\"47981568\"]\n  9 -> 14 [size =\"47981568\"]\n  9 -> 15 [size =\"47981568\"]\n  9 -> 18 [size =\"47981568\"]\n  10 [size=\"24786944\", alpha=\"0.03\", expect_size=\"12393472\"] \n  10 -> 15 [size =\"12393472\"]\n  10 -> 17 [size =\"12393472\"]\n  10 -> 18 [size =\"12393472\"]\n  10 -> 18 [size =\"12393472\"]\n  11 [size=\"90288128\", alpha=\"0.04\", expect_size=\"45144064\"] \n  11 -> 12 [size =\"45144064\"]\n  11 -> 14 [size =\"45144064\"]\n  11 -> 17 [size =\"45144064\"]\n  11 -> 18 [size =\"45144064\"]\n  11 -> 20 [size =\"45144064\"]\n  12 [size=\"54970368\", alpha=\"0.15\", expect_size=\"27485184\"] \n  13 [size=\"29186048\", alpha=\"0.12\", expect_size=\"14593024\"] \n  14 [size=\"86988800\", alpha=\"0.00\", expect_size=\"43494400\"] \n  15 [size=\"44886016\", alpha=\"0.10\", expect_size=\"22443008\"] \n  16 [size=\"89925632\", alpha=\"0.15\", expect_size=\"44962816\"] \n  17 [size=\"69722112\", alpha=\"0.17\", expect_size=\"34861056\"] \n  18 [size=\"12240896\", alpha=\"0.10\", expect_size=\"6120448\"] \n  19 [size=\"45707264\", alpha=\"0.15\", expect_size=\"22853632\"] \n  20 [size=\"63315968\", alpha=\"0.00\", expect_size=\"31657984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21724160\", alpha=\"0.06\", expect_size=\"8689664\"] \n  1 -> 2 [size =\"8689664\"]\n  2 [size=\"57907200\", alpha=\"0.17\", expect_size=\"23162880\"] \n  2 -> 3 [size =\"23162880\"]\n  3 [size=\"52899840\", alpha=\"0.08\", expect_size=\"21159936\"] \n  3 -> 4 [size =\"21159936\"]\n  4 [size=\"47718400\", alpha=\"0.12\", expect_size=\"19087360\"] \n  4 -> 5 [size =\"19087360\"]\n  5 [size=\"109391360\", alpha=\"0.15\", expect_size=\"43756544\"] \n  5 -> 6 [size =\"43756544\"]\n  6 [size=\"50048000\", alpha=\"0.01\", expect_size=\"20019200\"] \n  6 -> 7 [size =\"20019200\"]\n  7 [size=\"87869440\", alpha=\"0.01\", expect_size=\"35147776\"] \n  7 -> 8 [size =\"35147776\"]\n  8 [size=\"103918080\", alpha=\"0.06\", expect_size=\"41567232\"] \n  8 -> 9 [size =\"41567232\"]\n  9 [size=\"64168960\", alpha=\"0.14\", expect_size=\"25667584\"] \n  9 -> 10 [size =\"25667584\"]\n  10 [size=\"105146880\", alpha=\"0.07\", expect_size=\"42058752\"] \n  10 -> 11 [size =\"42058752\"]\n  11 [size=\"60088320\", alpha=\"0.11\", expect_size=\"24035328\"] \n  11 -> 12 [size =\"24035328\"]\n  12 [size=\"96289280\", alpha=\"0.14\", expect_size=\"38515712\"] \n  12 -> 13 [size =\"38515712\"]\n  13 [size=\"75747840\", alpha=\"0.17\", expect_size=\"30299136\"] \n  13 -> 14 [size =\"30299136\"]\n  14 [size=\"121405440\", alpha=\"0.17\", expect_size=\"48562176\"] \n  14 -> 15 [size =\"48562176\"]\n  15 [size=\"72788480\", alpha=\"0.01\", expect_size=\"29115392\"] \n  15 -> 16 [size =\"29115392\"]\n  16 [size=\"44410880\", alpha=\"0.14\", expect_size=\"17764352\"] \n  16 -> 17 [size =\"17764352\"]\n  17 [size=\"51737600\", alpha=\"0.04\", expect_size=\"20695040\"] \n  17 -> 18 [size =\"20695040\"]\n  18 [size=\"56911360\", alpha=\"0.16\", expect_size=\"22764544\"] \n  18 -> 19 [size =\"22764544\"]\n  19 [size=\"91701760\", alpha=\"0.07\", expect_size=\"36680704\"] \n  19 -> 20 [size =\"36680704\"]\n  20 [size=\"55772160\", alpha=\"0.16\", expect_size=\"22308864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58740736\", alpha=\"0.19\", expect_size=\"29370368\"] \n  1 -> 4 [size =\"29370368\"]\n  1 -> 6 [size =\"29370368\"]\n  2 [size=\"70422528\", alpha=\"0.18\", expect_size=\"35211264\"] \n  2 -> 5 [size =\"35211264\"]\n  2 -> 6 [size =\"35211264\"]\n  3 [size=\"60934144\", alpha=\"0.18\", expect_size=\"30467072\"] \n  3 -> 4 [size =\"30467072\"]\n  4 [size=\"38506496\", alpha=\"0.18\", expect_size=\"19253248\"] \n  4 -> 8 [size =\"19253248\"]\n  4 -> 9 [size =\"19253248\"]\n  4 -> 10 [size =\"19253248\"]\n  5 [size=\"59754496\", alpha=\"0.04\", expect_size=\"29877248\"] \n  5 -> 8 [size =\"29877248\"]\n  5 -> 9 [size =\"29877248\"]\n  5 -> 10 [size =\"29877248\"]\n  6 [size=\"83865600\", alpha=\"0.02\", expect_size=\"41932800\"] \n  6 -> 7 [size =\"41932800\"]\n  7 [size=\"61257728\", alpha=\"0.14\", expect_size=\"30628864\"] \n  7 -> 11 [size =\"30628864\"]\n  7 -> 13 [size =\"30628864\"]\n  8 [size=\"11067392\", alpha=\"0.07\", expect_size=\"5533696\"] \n  8 -> 11 [size =\"5533696\"]\n  8 -> 12 [size =\"5533696\"]\n  8 -> 13 [size =\"5533696\"]\n  9 [size=\"77221888\", alpha=\"0.14\", expect_size=\"38610944\"] \n  10 [size=\"52787200\", alpha=\"0.01\", expect_size=\"26393600\"] \n  10 -> 11 [size =\"26393600\"]\n  10 -> 12 [size =\"26393600\"]\n  11 [size=\"44156928\", alpha=\"0.19\", expect_size=\"22078464\"] \n  11 -> 14 [size =\"22078464\"]\n  11 -> 16 [size =\"22078464\"]\n  12 [size=\"40368128\", alpha=\"0.12\", expect_size=\"20184064\"] \n  12 -> 14 [size =\"20184064\"]\n  13 [size=\"29333504\", alpha=\"0.17\", expect_size=\"14666752\"] \n  13 -> 15 [size =\"14666752\"]\n  14 [size=\"20076544\", alpha=\"0.01\", expect_size=\"10038272\"] \n  14 -> 18 [size =\"10038272\"]\n  15 [size=\"11479040\", alpha=\"0.19\", expect_size=\"5739520\"] \n  15 -> 17 [size =\"5739520\"]\n  15 -> 20 [size =\"5739520\"]\n  16 [size=\"29122560\", alpha=\"0.12\", expect_size=\"14561280\"] \n  16 -> 18 [size =\"14561280\"]\n  16 -> 19 [size =\"14561280\"]\n  17 [size=\"37179392\", alpha=\"0.17\", expect_size=\"18589696\"] \n  18 [size=\"104491008\", alpha=\"0.08\", expect_size=\"52245504\"] \n  19 [size=\"44963840\", alpha=\"0.06\", expect_size=\"22481920\"] \n  20 [size=\"17436672\", alpha=\"0.11\", expect_size=\"8718336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80285696\", alpha=\"0.09\", expect_size=\"40142848\"] \n  1 -> 2 [size =\"40142848\"]\n  1 -> 3 [size =\"40142848\"]\n  2 [size=\"98918400\", alpha=\"0.17\", expect_size=\"49459200\"] \n  3 [size=\"97376256\", alpha=\"0.17\", expect_size=\"48688128\"] \n  3 -> 4 [size =\"48688128\"]\n  4 [size=\"61376512\", alpha=\"0.14\", expect_size=\"30688256\"] \n  4 -> 5 [size =\"30688256\"]\n  5 [size=\"52768768\", alpha=\"0.01\", expect_size=\"26384384\"] \n  5 -> 6 [size =\"26384384\"]\n  6 [size=\"10543104\", alpha=\"0.15\", expect_size=\"5271552\"] \n  6 -> 7 [size =\"5271552\"]\n  6 -> 8 [size =\"5271552\"]\n  7 [size=\"44408832\", alpha=\"0.19\", expect_size=\"22204416\"] \n  7 -> 9 [size =\"22204416\"]\n  8 [size=\"31676416\", alpha=\"0.09\", expect_size=\"15838208\"] \n  8 -> 9 [size =\"15838208\"]\n  9 [size=\"87216128\", alpha=\"0.13\", expect_size=\"43608064\"] \n  9 -> 10 [size =\"43608064\"]\n  9 -> 11 [size =\"43608064\"]\n  10 [size=\"61532160\", alpha=\"0.00\", expect_size=\"30766080\"] \n  10 -> 13 [size =\"30766080\"]\n  11 [size=\"53035008\", alpha=\"0.02\", expect_size=\"26517504\"] \n  11 -> 12 [size =\"26517504\"]\n  11 -> 13 [size =\"26517504\"]\n  12 [size=\"97087488\", alpha=\"0.07\", expect_size=\"48543744\"] \n  13 [size=\"84471808\", alpha=\"0.19\", expect_size=\"42235904\"] \n  13 -> 14 [size =\"42235904\"]\n  14 [size=\"72052736\", alpha=\"0.14\", expect_size=\"36026368\"] \n  14 -> 15 [size =\"36026368\"]\n  15 [size=\"41930752\", alpha=\"0.19\", expect_size=\"20965376\"] \n  15 -> 16 [size =\"20965376\"]\n  15 -> 17 [size =\"20965376\"]\n  16 [size=\"46964736\", alpha=\"0.07\", expect_size=\"23482368\"] \n  16 -> 18 [size =\"23482368\"]\n  17 [size=\"21340160\", alpha=\"0.04\", expect_size=\"10670080\"] \n  17 -> 18 [size =\"10670080\"]\n  18 [size=\"17692672\", alpha=\"0.05\", expect_size=\"8846336\"] \n  18 -> 19 [size =\"8846336\"]\n  19 [size=\"61261824\", alpha=\"0.13\", expect_size=\"30630912\"] \n  19 -> 20 [size =\"30630912\"]\n  20 [size=\"26812416\", alpha=\"0.09\", expect_size=\"13406208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101654528\", alpha=\"0.14\", expect_size=\"50827264\"] \n  2 [size=\"103577600\", alpha=\"0.01\", expect_size=\"51788800\"] \n  2 -> 5 [size =\"51788800\"]\n  2 -> 6 [size =\"51788800\"]\n  2 -> 7 [size =\"51788800\"]\n  3 [size=\"72286208\", alpha=\"0.18\", expect_size=\"36143104\"] \n  3 -> 4 [size =\"36143104\"]\n  3 -> 5 [size =\"36143104\"]\n  3 -> 6 [size =\"36143104\"]\n  3 -> 7 [size =\"36143104\"]\n  4 [size=\"24965120\", alpha=\"0.20\", expect_size=\"12482560\"] \n  4 -> 10 [size =\"12482560\"]\n  5 [size=\"40361984\", alpha=\"0.10\", expect_size=\"20180992\"] \n  5 -> 8 [size =\"20180992\"]\n  6 [size=\"12419072\", alpha=\"0.12\", expect_size=\"6209536\"] \n  6 -> 8 [size =\"6209536\"]\n  6 -> 9 [size =\"6209536\"]\n  6 -> 10 [size =\"6209536\"]\n  7 [size=\"103688192\", alpha=\"0.02\", expect_size=\"51844096\"] \n  7 -> 8 [size =\"51844096\"]\n  7 -> 9 [size =\"51844096\"]\n  8 [size=\"41216000\", alpha=\"0.13\", expect_size=\"20608000\"] \n  8 -> 13 [size =\"20608000\"]\n  8 -> 14 [size =\"20608000\"]\n  9 [size=\"30887936\", alpha=\"0.03\", expect_size=\"15443968\"] \n  9 -> 12 [size =\"15443968\"]\n  9 -> 13 [size =\"15443968\"]\n  10 [size=\"74352640\", alpha=\"0.05\", expect_size=\"37176320\"] \n  10 -> 11 [size =\"37176320\"]\n  10 -> 12 [size =\"37176320\"]\n  11 [size=\"102909952\", alpha=\"0.17\", expect_size=\"51454976\"] \n  11 -> 17 [size =\"51454976\"]\n  12 [size=\"74106880\", alpha=\"0.11\", expect_size=\"37053440\"] \n  12 -> 16 [size =\"37053440\"]\n  13 [size=\"78481408\", alpha=\"0.11\", expect_size=\"39240704\"] \n  13 -> 15 [size =\"39240704\"]\n  13 -> 16 [size =\"39240704\"]\n  14 [size=\"67844096\", alpha=\"0.19\", expect_size=\"33922048\"] \n  14 -> 16 [size =\"33922048\"]\n  15 [size=\"66787328\", alpha=\"0.11\", expect_size=\"33393664\"] \n  16 [size=\"19970048\", alpha=\"0.11\", expect_size=\"9985024\"] \n  16 -> 18 [size =\"9985024\"]\n  16 -> 19 [size =\"9985024\"]\n  16 -> 20 [size =\"9985024\"]\n  17 [size=\"76869632\", alpha=\"0.15\", expect_size=\"38434816\"] \n  17 -> 18 [size =\"38434816\"]\n  17 -> 19 [size =\"38434816\"]\n  18 [size=\"85553152\", alpha=\"0.14\", expect_size=\"42776576\"] \n  19 [size=\"54614016\", alpha=\"0.20\", expect_size=\"27307008\"] \n  20 [size=\"70932480\", alpha=\"0.17\", expect_size=\"35466240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82769920\", alpha=\"0.17\", expect_size=\"41384960\"] \n  1 -> 9 [size =\"41384960\"]\n  1 -> 10 [size =\"41384960\"]\n  1 -> 11 [size =\"41384960\"]\n  2 [size=\"25538560\", alpha=\"0.05\", expect_size=\"12769280\"] \n  3 [size=\"15411200\", alpha=\"0.18\", expect_size=\"7705600\"] \n  4 [size=\"103524352\", alpha=\"0.16\", expect_size=\"51762176\"] \n  4 -> 11 [size =\"51762176\"]\n  5 [size=\"49154048\", alpha=\"0.06\", expect_size=\"24577024\"] \n  5 -> 8 [size =\"24577024\"]\n  5 -> 11 [size =\"24577024\"]\n  6 [size=\"59719680\", alpha=\"0.12\", expect_size=\"29859840\"] \n  7 [size=\"32749568\", alpha=\"0.03\", expect_size=\"16374784\"] \n  7 -> 8 [size =\"16374784\"]\n  7 -> 10 [size =\"16374784\"]\n  7 -> 11 [size =\"16374784\"]\n  7 -> 12 [size =\"16374784\"]\n  8 [size=\"46514176\", alpha=\"0.04\", expect_size=\"23257088\"] \n  8 -> 13 [size =\"23257088\"]\n  8 -> 15 [size =\"23257088\"]\n  8 -> 17 [size =\"23257088\"]\n  8 -> 19 [size =\"23257088\"]\n  9 [size=\"42606592\", alpha=\"0.17\", expect_size=\"21303296\"] \n  9 -> 15 [size =\"21303296\"]\n  9 -> 16 [size =\"21303296\"]\n  9 -> 17 [size =\"21303296\"]\n  10 [size=\"89747456\", alpha=\"0.07\", expect_size=\"44873728\"] \n  10 -> 17 [size =\"44873728\"]\n  11 [size=\"53444608\", alpha=\"0.19\", expect_size=\"26722304\"] \n  11 -> 16 [size =\"26722304\"]\n  11 -> 18 [size =\"26722304\"]\n  12 [size=\"39012352\", alpha=\"0.04\", expect_size=\"19506176\"] \n  12 -> 13 [size =\"19506176\"]\n  12 -> 14 [size =\"19506176\"]\n  12 -> 15 [size =\"19506176\"]\n  13 [size=\"62498816\", alpha=\"0.04\", expect_size=\"31249408\"] \n  14 [size=\"55044096\", alpha=\"0.15\", expect_size=\"27522048\"] \n  14 -> 20 [size =\"27522048\"]\n  15 [size=\"37152768\", alpha=\"0.04\", expect_size=\"18576384\"] \n  15 -> 20 [size =\"18576384\"]\n  16 [size=\"63836160\", alpha=\"0.11\", expect_size=\"31918080\"] \n  16 -> 20 [size =\"31918080\"]\n  17 [size=\"24899584\", alpha=\"0.06\", expect_size=\"12449792\"] \n  18 [size=\"36941824\", alpha=\"0.13\", expect_size=\"18470912\"] \n  18 -> 20 [size =\"18470912\"]\n  19 [size=\"57800704\", alpha=\"0.14\", expect_size=\"28900352\"] \n  20 [size=\"44263424\", alpha=\"0.17\", expect_size=\"22131712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53753173\", alpha=\"0.15\", expect_size=\"16125952\"] \n  1 -> 12 [size =\"16125952\"]\n  1 -> 15 [size =\"16125952\"]\n  1 -> 16 [size =\"16125952\"]\n  2 [size=\"125767680\", alpha=\"0.06\", expect_size=\"37730304\"] \n  2 -> 9 [size =\"37730304\"]\n  2 -> 12 [size =\"37730304\"]\n  2 -> 15 [size =\"37730304\"]\n  2 -> 17 [size =\"37730304\"]\n  2 -> 18 [size =\"37730304\"]\n  3 [size=\"120678400\", alpha=\"0.07\", expect_size=\"36203520\"] \n  3 -> 9 [size =\"36203520\"]\n  3 -> 14 [size =\"36203520\"]\n  3 -> 18 [size =\"36203520\"]\n  4 [size=\"89477120\", alpha=\"0.17\", expect_size=\"26843136\"] \n  4 -> 12 [size =\"26843136\"]\n  4 -> 13 [size =\"26843136\"]\n  4 -> 16 [size =\"26843136\"]\n  4 -> 18 [size =\"26843136\"]\n  5 [size=\"28934827\", alpha=\"0.00\", expect_size=\"8680448\"] \n  5 -> 10 [size =\"8680448\"]\n  5 -> 12 [size =\"8680448\"]\n  5 -> 14 [size =\"8680448\"]\n  5 -> 18 [size =\"8680448\"]\n  6 [size=\"128054613\", alpha=\"0.13\", expect_size=\"38416384\"] \n  6 -> 12 [size =\"38416384\"]\n  6 -> 16 [size =\"38416384\"]\n  6 -> 18 [size =\"38416384\"]\n  7 [size=\"116363947\", alpha=\"0.17\", expect_size=\"34909184\"] \n  7 -> 11 [size =\"34909184\"]\n  7 -> 12 [size =\"34909184\"]\n  7 -> 15 [size =\"34909184\"]\n  7 -> 16 [size =\"34909184\"]\n  8 [size=\"166294187\", alpha=\"0.10\", expect_size=\"49888256\"] \n  8 -> 13 [size =\"49888256\"]\n  8 -> 14 [size =\"49888256\"]\n  8 -> 16 [size =\"49888256\"]\n  8 -> 18 [size =\"49888256\"]\n  9 [size=\"130000213\", alpha=\"0.16\", expect_size=\"39000064\"] \n  9 -> 19 [size =\"39000064\"]\n  10 [size=\"166297600\", alpha=\"0.12\", expect_size=\"49889280\"] \n  11 [size=\"19193173\", alpha=\"0.12\", expect_size=\"5757952\"] \n  12 [size=\"136024747\", alpha=\"0.15\", expect_size=\"40807424\"] \n  12 -> 19 [size =\"40807424\"]\n  12 -> 20 [size =\"40807424\"]\n  13 [size=\"26552320\", alpha=\"0.10\", expect_size=\"7965696\"] \n  14 [size=\"84428800\", alpha=\"0.01\", expect_size=\"25328640\"] \n  15 [size=\"63645013\", alpha=\"0.07\", expect_size=\"19093504\"] \n  16 [size=\"65873920\", alpha=\"0.15\", expect_size=\"19762176\"] \n  17 [size=\"167307947\", alpha=\"0.14\", expect_size=\"50192384\"] \n  18 [size=\"142267733\", alpha=\"0.17\", expect_size=\"42680320\"] \n  18 -> 19 [size =\"42680320\"]\n  19 [size=\"64651947\", alpha=\"0.09\", expect_size=\"19395584\"] \n  20 [size=\"32262827\", alpha=\"0.13\", expect_size=\"9678848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151046827\", alpha=\"0.13\", expect_size=\"45314048\"] \n  1 -> 2 [size =\"45314048\"]\n  2 [size=\"102464853\", alpha=\"0.15\", expect_size=\"30739456\"] \n  2 -> 3 [size =\"30739456\"]\n  2 -> 4 [size =\"30739456\"]\n  3 [size=\"141189120\", alpha=\"0.16\", expect_size=\"42356736\"] \n  3 -> 5 [size =\"42356736\"]\n  4 [size=\"29911040\", alpha=\"0.02\", expect_size=\"8973312\"] \n  4 -> 5 [size =\"8973312\"]\n  5 [size=\"83674453\", alpha=\"0.06\", expect_size=\"25102336\"] \n  5 -> 6 [size =\"25102336\"]\n  6 [size=\"161409707\", alpha=\"0.12\", expect_size=\"48422912\"] \n  6 -> 7 [size =\"48422912\"]\n  6 -> 8 [size =\"48422912\"]\n  7 [size=\"27781120\", alpha=\"0.19\", expect_size=\"8334336\"] \n  7 -> 9 [size =\"8334336\"]\n  8 [size=\"80233813\", alpha=\"0.07\", expect_size=\"24070144\"] \n  8 -> 9 [size =\"24070144\"]\n  9 [size=\"43492693\", alpha=\"0.14\", expect_size=\"13047808\"] \n  9 -> 10 [size =\"13047808\"]\n  9 -> 11 [size =\"13047808\"]\n  10 [size=\"157593600\", alpha=\"0.09\", expect_size=\"47278080\"] \n  10 -> 13 [size =\"47278080\"]\n  11 [size=\"106397013\", alpha=\"0.19\", expect_size=\"31919104\"] \n  11 -> 12 [size =\"31919104\"]\n  11 -> 13 [size =\"31919104\"]\n  12 [size=\"52302507\", alpha=\"0.00\", expect_size=\"15690752\"] \n  12 -> 14 [size =\"15690752\"]\n  13 [size=\"166772053\", alpha=\"0.15\", expect_size=\"50031616\"] \n  13 -> 14 [size =\"50031616\"]\n  14 [size=\"139219627\", alpha=\"0.03\", expect_size=\"41765888\"] \n  14 -> 15 [size =\"41765888\"]\n  14 -> 16 [size =\"41765888\"]\n  15 [size=\"156023467\", alpha=\"0.15\", expect_size=\"46807040\"] \n  16 [size=\"45591893\", alpha=\"0.18\", expect_size=\"13677568\"] \n  16 -> 17 [size =\"13677568\"]\n  17 [size=\"136717653\", alpha=\"0.15\", expect_size=\"41015296\"] \n  17 -> 18 [size =\"41015296\"]\n  17 -> 19 [size =\"41015296\"]\n  18 [size=\"128576853\", alpha=\"0.06\", expect_size=\"38573056\"] \n  18 -> 20 [size =\"38573056\"]\n  19 [size=\"27374933\", alpha=\"0.15\", expect_size=\"8212480\"] \n  20 [size=\"134263467\", alpha=\"0.07\", expect_size=\"40279040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58880000\", alpha=\"0.13\", expect_size=\"29440000\"] \n  1 -> 9 [size =\"29440000\"]\n  1 -> 11 [size =\"29440000\"]\n  1 -> 14 [size =\"29440000\"]\n  1 -> 16 [size =\"29440000\"]\n  2 [size=\"23199744\", alpha=\"0.01\", expect_size=\"11599872\"] \n  2 -> 9 [size =\"11599872\"]\n  2 -> 10 [size =\"11599872\"]\n  2 -> 14 [size =\"11599872\"]\n  2 -> 16 [size =\"11599872\"]\n  3 [size=\"57440256\", alpha=\"0.10\", expect_size=\"28720128\"] \n  3 -> 9 [size =\"28720128\"]\n  3 -> 10 [size =\"28720128\"]\n  3 -> 14 [size =\"28720128\"]\n  4 [size=\"16754688\", alpha=\"0.07\", expect_size=\"8377344\"] \n  4 -> 9 [size =\"8377344\"]\n  4 -> 10 [size =\"8377344\"]\n  4 -> 11 [size =\"8377344\"]\n  5 [size=\"96905216\", alpha=\"0.12\", expect_size=\"48452608\"] \n  5 -> 9 [size =\"48452608\"]\n  5 -> 13 [size =\"48452608\"]\n  5 -> 15 [size =\"48452608\"]\n  5 -> 16 [size =\"48452608\"]\n  6 [size=\"103116800\", alpha=\"0.19\", expect_size=\"51558400\"] \n  6 -> 9 [size =\"51558400\"]\n  6 -> 11 [size =\"51558400\"]\n  7 [size=\"43782144\", alpha=\"0.17\", expect_size=\"21891072\"] \n  7 -> 9 [size =\"21891072\"]\n  7 -> 11 [size =\"21891072\"]\n  7 -> 12 [size =\"21891072\"]\n  7 -> 13 [size =\"21891072\"]\n  7 -> 14 [size =\"21891072\"]\n  8 [size=\"92930048\", alpha=\"0.17\", expect_size=\"46465024\"] \n  8 -> 9 [size =\"46465024\"]\n  8 -> 14 [size =\"46465024\"]\n  9 [size=\"58494976\", alpha=\"0.01\", expect_size=\"29247488\"] \n  9 -> 19 [size =\"29247488\"]\n  9 -> 20 [size =\"29247488\"]\n  10 [size=\"97712128\", alpha=\"0.01\", expect_size=\"48856064\"] \n  10 -> 17 [size =\"48856064\"]\n  11 [size=\"76804096\", alpha=\"0.15\", expect_size=\"38402048\"] \n  12 [size=\"41875456\", alpha=\"0.02\", expect_size=\"20937728\"] \n  12 -> 17 [size =\"20937728\"]\n  13 [size=\"44756992\", alpha=\"0.07\", expect_size=\"22378496\"] \n  14 [size=\"93931520\", alpha=\"0.03\", expect_size=\"46965760\"] \n  14 -> 20 [size =\"46965760\"]\n  15 [size=\"31725568\", alpha=\"0.04\", expect_size=\"15862784\"] \n  15 -> 18 [size =\"15862784\"]\n  16 [size=\"86372352\", alpha=\"0.05\", expect_size=\"43186176\"] \n  16 -> 20 [size =\"43186176\"]\n  17 [size=\"81047552\", alpha=\"0.20\", expect_size=\"40523776\"] \n  18 [size=\"65583104\", alpha=\"0.01\", expect_size=\"32791552\"] \n  19 [size=\"52207616\", alpha=\"0.01\", expect_size=\"26103808\"] \n  20 [size=\"58263552\", alpha=\"0.11\", expect_size=\"29131776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158385493\", alpha=\"0.07\", expect_size=\"47515648\"] \n  1 -> 3 [size =\"47515648\"]\n  2 [size=\"80319147\", alpha=\"0.08\", expect_size=\"24095744\"] \n  2 -> 3 [size =\"24095744\"]\n  3 [size=\"79687680\", alpha=\"0.19\", expect_size=\"23906304\"] \n  3 -> 4 [size =\"23906304\"]\n  3 -> 5 [size =\"23906304\"]\n  4 [size=\"42717867\", alpha=\"0.07\", expect_size=\"12815360\"] \n  4 -> 6 [size =\"12815360\"]\n  5 [size=\"25845760\", alpha=\"0.18\", expect_size=\"7753728\"] \n  6 [size=\"49377280\", alpha=\"0.14\", expect_size=\"14813184\"] \n  6 -> 7 [size =\"14813184\"]\n  6 -> 8 [size =\"14813184\"]\n  7 [size=\"162884267\", alpha=\"0.11\", expect_size=\"48865280\"] \n  7 -> 9 [size =\"48865280\"]\n  8 [size=\"30341120\", alpha=\"0.13\", expect_size=\"9102336\"] \n  9 [size=\"165911893\", alpha=\"0.06\", expect_size=\"49773568\"] \n  9 -> 10 [size =\"49773568\"]\n  9 -> 11 [size =\"49773568\"]\n  10 [size=\"35857067\", alpha=\"0.13\", expect_size=\"10757120\"] \n  10 -> 12 [size =\"10757120\"]\n  10 -> 13 [size =\"10757120\"]\n  11 [size=\"95092053\", alpha=\"0.09\", expect_size=\"28527616\"] \n  12 [size=\"149207040\", alpha=\"0.12\", expect_size=\"44762112\"] \n  12 -> 14 [size =\"44762112\"]\n  12 -> 15 [size =\"44762112\"]\n  13 [size=\"51520853\", alpha=\"0.14\", expect_size=\"15456256\"] \n  14 [size=\"47489707\", alpha=\"0.16\", expect_size=\"14246912\"] \n  14 -> 16 [size =\"14246912\"]\n  15 [size=\"102301013\", alpha=\"0.11\", expect_size=\"30690304\"] \n  16 [size=\"89460053\", alpha=\"0.06\", expect_size=\"26838016\"] \n  16 -> 17 [size =\"26838016\"]\n  16 -> 18 [size =\"26838016\"]\n  17 [size=\"38877867\", alpha=\"0.06\", expect_size=\"11663360\"] \n  17 -> 19 [size =\"11663360\"]\n  18 [size=\"127918080\", alpha=\"0.18\", expect_size=\"38375424\"] \n  19 [size=\"71656107\", alpha=\"0.09\", expect_size=\"21496832\"] \n  19 -> 20 [size =\"21496832\"]\n  20 [size=\"117149013\", alpha=\"0.15\", expect_size=\"35144704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99338240\", alpha=\"0.01\", expect_size=\"39735296\"] \n  1 -> 2 [size =\"39735296\"]\n  2 [size=\"50621440\", alpha=\"0.10\", expect_size=\"20248576\"] \n  2 -> 3 [size =\"20248576\"]\n  3 [size=\"35996160\", alpha=\"0.07\", expect_size=\"14398464\"] \n  3 -> 4 [size =\"14398464\"]\n  4 [size=\"50316800\", alpha=\"0.16\", expect_size=\"20126720\"] \n  4 -> 5 [size =\"20126720\"]\n  5 [size=\"65899520\", alpha=\"0.12\", expect_size=\"26359808\"] \n  5 -> 6 [size =\"26359808\"]\n  6 [size=\"58997760\", alpha=\"0.04\", expect_size=\"23599104\"] \n  6 -> 7 [size =\"23599104\"]\n  7 [size=\"63846400\", alpha=\"0.10\", expect_size=\"25538560\"] \n  7 -> 8 [size =\"25538560\"]\n  8 [size=\"97781760\", alpha=\"0.04\", expect_size=\"39112704\"] \n  8 -> 9 [size =\"39112704\"]\n  9 [size=\"96798720\", alpha=\"0.19\", expect_size=\"38719488\"] \n  9 -> 10 [size =\"38719488\"]\n  10 [size=\"67719680\", alpha=\"0.14\", expect_size=\"27087872\"] \n  10 -> 11 [size =\"27087872\"]\n  11 [size=\"33295360\", alpha=\"0.15\", expect_size=\"13318144\"] \n  11 -> 12 [size =\"13318144\"]\n  12 [size=\"39544320\", alpha=\"0.11\", expect_size=\"15817728\"] \n  12 -> 13 [size =\"15817728\"]\n  13 [size=\"98073600\", alpha=\"0.07\", expect_size=\"39229440\"] \n  13 -> 14 [size =\"39229440\"]\n  14 [size=\"23654400\", alpha=\"0.15\", expect_size=\"9461760\"] \n  14 -> 15 [size =\"9461760\"]\n  15 [size=\"118476800\", alpha=\"0.12\", expect_size=\"47390720\"] \n  15 -> 16 [size =\"47390720\"]\n  16 [size=\"70919680\", alpha=\"0.10\", expect_size=\"28367872\"] \n  16 -> 17 [size =\"28367872\"]\n  17 [size=\"91617280\", alpha=\"0.03\", expect_size=\"36646912\"] \n  17 -> 18 [size =\"36646912\"]\n  18 [size=\"33996800\", alpha=\"0.09\", expect_size=\"13598720\"] \n  18 -> 19 [size =\"13598720\"]\n  19 [size=\"55590400\", alpha=\"0.01\", expect_size=\"22236160\"] \n  19 -> 20 [size =\"22236160\"]\n  20 [size=\"48181760\", alpha=\"0.16\", expect_size=\"19272704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122833920\", alpha=\"0.19\", expect_size=\"49133568\"] \n  1 -> 10 [size =\"49133568\"]\n  1 -> 11 [size =\"49133568\"]\n  1 -> 13 [size =\"49133568\"]\n  2 [size=\"107130880\", alpha=\"0.07\", expect_size=\"42852352\"] \n  3 [size=\"72230400\", alpha=\"0.10\", expect_size=\"28892160\"] \n  3 -> 10 [size =\"28892160\"]\n  4 [size=\"127444480\", alpha=\"0.16\", expect_size=\"50977792\"] \n  5 [size=\"32893440\", alpha=\"0.03\", expect_size=\"13157376\"] \n  5 -> 10 [size =\"13157376\"]\n  5 -> 11 [size =\"13157376\"]\n  6 [size=\"87938560\", alpha=\"0.17\", expect_size=\"35175424\"] \n  6 -> 14 [size =\"35175424\"]\n  7 [size=\"92239360\", alpha=\"0.01\", expect_size=\"36895744\"] \n  8 [size=\"41730560\", alpha=\"0.12\", expect_size=\"16692224\"] \n  8 -> 12 [size =\"16692224\"]\n  8 -> 15 [size =\"16692224\"]\n  9 [size=\"92344320\", alpha=\"0.09\", expect_size=\"36937728\"] \n  9 -> 10 [size =\"36937728\"]\n  9 -> 16 [size =\"36937728\"]\n  10 [size=\"84889600\", alpha=\"0.18\", expect_size=\"33955840\"] \n  10 -> 17 [size =\"33955840\"]\n  10 -> 19 [size =\"33955840\"]\n  11 [size=\"95720960\", alpha=\"0.14\", expect_size=\"38288384\"] \n  11 -> 18 [size =\"38288384\"]\n  12 [size=\"90030080\", alpha=\"0.16\", expect_size=\"36012032\"] \n  12 -> 18 [size =\"36012032\"]\n  12 -> 20 [size =\"36012032\"]\n  13 [size=\"14499840\", alpha=\"0.02\", expect_size=\"5799936\"] \n  13 -> 18 [size =\"5799936\"]\n  13 -> 19 [size =\"5799936\"]\n  14 [size=\"72046080\", alpha=\"0.04\", expect_size=\"28818432\"] \n  14 -> 17 [size =\"28818432\"]\n  14 -> 19 [size =\"28818432\"]\n  14 -> 20 [size =\"28818432\"]\n  15 [size=\"46663680\", alpha=\"0.06\", expect_size=\"18665472\"] \n  15 -> 19 [size =\"18665472\"]\n  15 -> 20 [size =\"18665472\"]\n  16 [size=\"65272320\", alpha=\"0.07\", expect_size=\"26108928\"] \n  16 -> 17 [size =\"26108928\"]\n  16 -> 18 [size =\"26108928\"]\n  17 [size=\"49843200\", alpha=\"0.06\", expect_size=\"19937280\"] \n  18 [size=\"56017920\", alpha=\"0.15\", expect_size=\"22407168\"] \n  19 [size=\"127260160\", alpha=\"0.16\", expect_size=\"50904064\"] \n  20 [size=\"60177920\", alpha=\"0.09\", expect_size=\"24071168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64534528\", alpha=\"0.18\", expect_size=\"32267264\"] \n  1 -> 9 [size =\"32267264\"]\n  1 -> 12 [size =\"32267264\"]\n  1 -> 13 [size =\"32267264\"]\n  2 [size=\"12541952\", alpha=\"0.19\", expect_size=\"6270976\"] \n  2 -> 9 [size =\"6270976\"]\n  3 [size=\"26875904\", alpha=\"0.06\", expect_size=\"13437952\"] \n  3 -> 9 [size =\"13437952\"]\n  3 -> 12 [size =\"13437952\"]\n  3 -> 13 [size =\"13437952\"]\n  3 -> 16 [size =\"13437952\"]\n  4 [size=\"36483072\", alpha=\"0.05\", expect_size=\"18241536\"] \n  4 -> 9 [size =\"18241536\"]\n  4 -> 13 [size =\"18241536\"]\n  4 -> 14 [size =\"18241536\"]\n  4 -> 16 [size =\"18241536\"]\n  5 [size=\"19087360\", alpha=\"0.14\", expect_size=\"9543680\"] \n  5 -> 9 [size =\"9543680\"]\n  5 -> 10 [size =\"9543680\"]\n  5 -> 13 [size =\"9543680\"]\n  5 -> 16 [size =\"9543680\"]\n  6 [size=\"12906496\", alpha=\"0.10\", expect_size=\"6453248\"] \n  6 -> 13 [size =\"6453248\"]\n  7 [size=\"84555776\", alpha=\"0.16\", expect_size=\"42277888\"] \n  7 -> 10 [size =\"42277888\"]\n  7 -> 11 [size =\"42277888\"]\n  7 -> 12 [size =\"42277888\"]\n  7 -> 15 [size =\"42277888\"]\n  8 [size=\"30142464\", alpha=\"0.11\", expect_size=\"15071232\"] \n  8 -> 11 [size =\"15071232\"]\n  8 -> 12 [size =\"15071232\"]\n  8 -> 12 [size =\"15071232\"]\n  8 -> 13 [size =\"15071232\"]\n  9 [size=\"17100800\", alpha=\"0.01\", expect_size=\"8550400\"] \n  9 -> 18 [size =\"8550400\"]\n  9 -> 19 [size =\"8550400\"]\n  10 [size=\"43421696\", alpha=\"0.17\", expect_size=\"21710848\"] \n  10 -> 18 [size =\"21710848\"]\n  10 -> 19 [size =\"21710848\"]\n  10 -> 20 [size =\"21710848\"]\n  11 [size=\"62130176\", alpha=\"0.01\", expect_size=\"31065088\"] \n  12 [size=\"52195328\", alpha=\"0.05\", expect_size=\"26097664\"] \n  13 [size=\"49580032\", alpha=\"0.11\", expect_size=\"24790016\"] \n  13 -> 17 [size =\"24790016\"]\n  13 -> 20 [size =\"24790016\"]\n  14 [size=\"79167488\", alpha=\"0.15\", expect_size=\"39583744\"] \n  14 -> 17 [size =\"39583744\"]\n  14 -> 20 [size =\"39583744\"]\n  15 [size=\"104677376\", alpha=\"0.15\", expect_size=\"52338688\"] \n  15 -> 18 [size =\"52338688\"]\n  16 [size=\"75331584\", alpha=\"0.02\", expect_size=\"37665792\"] \n  16 -> 19 [size =\"37665792\"]\n  17 [size=\"29782016\", alpha=\"0.19\", expect_size=\"14891008\"] \n  18 [size=\"10795008\", alpha=\"0.07\", expect_size=\"5397504\"] \n  19 [size=\"60688384\", alpha=\"0.02\", expect_size=\"30344192\"] \n  20 [size=\"66871296\", alpha=\"0.14\", expect_size=\"33435648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54064640\", alpha=\"0.09\", expect_size=\"21625856\"] \n  1 -> 3 [size =\"21625856\"]\n  1 -> 4 [size =\"21625856\"]\n  2 [size=\"74068480\", alpha=\"0.12\", expect_size=\"29627392\"] \n  2 -> 3 [size =\"29627392\"]\n  2 -> 4 [size =\"29627392\"]\n  3 [size=\"52259840\", alpha=\"0.14\", expect_size=\"20903936\"] \n  3 -> 5 [size =\"20903936\"]\n  4 [size=\"126599680\", alpha=\"0.08\", expect_size=\"50639872\"] \n  4 -> 5 [size =\"50639872\"]\n  5 [size=\"53107200\", alpha=\"0.03\", expect_size=\"21242880\"] \n  5 -> 6 [size =\"21242880\"]\n  6 [size=\"13424640\", alpha=\"0.04\", expect_size=\"5369856\"] \n  6 -> 7 [size =\"5369856\"]\n  7 [size=\"124418560\", alpha=\"0.06\", expect_size=\"49767424\"] \n  7 -> 8 [size =\"49767424\"]\n  7 -> 9 [size =\"49767424\"]\n  8 [size=\"128071680\", alpha=\"0.17\", expect_size=\"51228672\"] \n  8 -> 10 [size =\"51228672\"]\n  9 [size=\"22195200\", alpha=\"0.15\", expect_size=\"8878080\"] \n  9 -> 10 [size =\"8878080\"]\n  10 [size=\"13340160\", alpha=\"0.11\", expect_size=\"5336064\"] \n  10 -> 11 [size =\"5336064\"]\n  11 [size=\"128501760\", alpha=\"0.05\", expect_size=\"51400704\"] \n  11 -> 12 [size =\"51400704\"]\n  11 -> 13 [size =\"51400704\"]\n  12 [size=\"65551360\", alpha=\"0.05\", expect_size=\"26220544\"] \n  12 -> 14 [size =\"26220544\"]\n  12 -> 15 [size =\"26220544\"]\n  13 [size=\"18496000\", alpha=\"0.20\", expect_size=\"7398400\"] \n  13 -> 14 [size =\"7398400\"]\n  14 [size=\"100213760\", alpha=\"0.08\", expect_size=\"40085504\"] \n  14 -> 16 [size =\"40085504\"]\n  15 [size=\"28423680\", alpha=\"0.11\", expect_size=\"11369472\"] \n  15 -> 16 [size =\"11369472\"]\n  16 [size=\"46100480\", alpha=\"0.10\", expect_size=\"18440192\"] \n  16 -> 17 [size =\"18440192\"]\n  16 -> 18 [size =\"18440192\"]\n  17 [size=\"68390400\", alpha=\"0.01\", expect_size=\"27356160\"] \n  17 -> 19 [size =\"27356160\"]\n  18 [size=\"102993920\", alpha=\"0.01\", expect_size=\"41197568\"] \n  18 -> 19 [size =\"41197568\"]\n  18 -> 20 [size =\"41197568\"]\n  19 [size=\"85102080\", alpha=\"0.02\", expect_size=\"34040832\"] \n  20 [size=\"53760000\", alpha=\"0.11\", expect_size=\"21504000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32862720\", alpha=\"0.10\", expect_size=\"13145088\"] \n  2 [size=\"50849280\", alpha=\"0.10\", expect_size=\"20339712\"] \n  2 -> 8 [size =\"20339712\"]\n  2 -> 9 [size =\"20339712\"]\n  2 -> 12 [size =\"20339712\"]\n  2 -> 13 [size =\"20339712\"]\n  2 -> 14 [size =\"20339712\"]\n  3 [size=\"82552320\", alpha=\"0.12\", expect_size=\"33020928\"] \n  3 -> 8 [size =\"33020928\"]\n  3 -> 12 [size =\"33020928\"]\n  3 -> 12 [size =\"33020928\"]\n  4 [size=\"104184320\", alpha=\"0.14\", expect_size=\"41673728\"] \n  4 -> 8 [size =\"41673728\"]\n  4 -> 9 [size =\"41673728\"]\n  4 -> 12 [size =\"41673728\"]\n  5 [size=\"57630720\", alpha=\"0.20\", expect_size=\"23052288\"] \n  5 -> 10 [size =\"23052288\"]\n  5 -> 13 [size =\"23052288\"]\n  6 [size=\"128450560\", alpha=\"0.07\", expect_size=\"51380224\"] \n  6 -> 8 [size =\"51380224\"]\n  6 -> 10 [size =\"51380224\"]\n  6 -> 11 [size =\"51380224\"]\n  6 -> 14 [size =\"51380224\"]\n  7 [size=\"106242560\", alpha=\"0.13\", expect_size=\"42497024\"] \n  7 -> 10 [size =\"42497024\"]\n  7 -> 14 [size =\"42497024\"]\n  8 [size=\"111810560\", alpha=\"0.11\", expect_size=\"44724224\"] \n  8 -> 15 [size =\"44724224\"]\n  8 -> 17 [size =\"44724224\"]\n  9 [size=\"74967040\", alpha=\"0.12\", expect_size=\"29986816\"] \n  9 -> 17 [size =\"29986816\"]\n  9 -> 18 [size =\"29986816\"]\n  10 [size=\"60469760\", alpha=\"0.19\", expect_size=\"24187904\"] \n  10 -> 15 [size =\"24187904\"]\n  10 -> 17 [size =\"24187904\"]\n  11 [size=\"84787200\", alpha=\"0.06\", expect_size=\"33914880\"] \n  11 -> 16 [size =\"33914880\"]\n  11 -> 17 [size =\"33914880\"]\n  11 -> 19 [size =\"33914880\"]\n  12 [size=\"24926720\", alpha=\"0.10\", expect_size=\"9970688\"] \n  12 -> 18 [size =\"9970688\"]\n  12 -> 20 [size =\"9970688\"]\n  13 [size=\"83005440\", alpha=\"0.07\", expect_size=\"33202176\"] \n  13 -> 18 [size =\"33202176\"]\n  13 -> 20 [size =\"33202176\"]\n  14 [size=\"37511680\", alpha=\"0.16\", expect_size=\"15004672\"] \n  14 -> 15 [size =\"15004672\"]\n  14 -> 17 [size =\"15004672\"]\n  14 -> 20 [size =\"15004672\"]\n  15 [size=\"122232320\", alpha=\"0.03\", expect_size=\"48892928\"] \n  16 [size=\"122048000\", alpha=\"0.16\", expect_size=\"48819200\"] \n  17 [size=\"47150080\", alpha=\"0.14\", expect_size=\"18860032\"] \n  18 [size=\"122391040\", alpha=\"0.19\", expect_size=\"48956416\"] \n  19 [size=\"70243840\", alpha=\"0.03\", expect_size=\"28097536\"] \n  20 [size=\"24419840\", alpha=\"0.10\", expect_size=\"9767936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12806144\", alpha=\"0.06\", expect_size=\"6403072\"] \n  1 -> 2 [size =\"6403072\"]\n  2 [size=\"48048128\", alpha=\"0.05\", expect_size=\"24024064\"] \n  2 -> 3 [size =\"24024064\"]\n  3 [size=\"104790016\", alpha=\"0.18\", expect_size=\"52395008\"] \n  3 -> 4 [size =\"52395008\"]\n  4 [size=\"35561472\", alpha=\"0.05\", expect_size=\"17780736\"] \n  4 -> 5 [size =\"17780736\"]\n  5 [size=\"99377152\", alpha=\"0.02\", expect_size=\"49688576\"] \n  5 -> 6 [size =\"49688576\"]\n  6 [size=\"72597504\", alpha=\"0.03\", expect_size=\"36298752\"] \n  6 -> 7 [size =\"36298752\"]\n  7 [size=\"99678208\", alpha=\"0.08\", expect_size=\"49839104\"] \n  7 -> 8 [size =\"49839104\"]\n  8 [size=\"42354688\", alpha=\"0.10\", expect_size=\"21177344\"] \n  8 -> 9 [size =\"21177344\"]\n  9 [size=\"95406080\", alpha=\"0.06\", expect_size=\"47703040\"] \n  9 -> 10 [size =\"47703040\"]\n  10 [size=\"72044544\", alpha=\"0.03\", expect_size=\"36022272\"] \n  10 -> 11 [size =\"36022272\"]\n  11 [size=\"23920640\", alpha=\"0.12\", expect_size=\"11960320\"] \n  11 -> 12 [size =\"11960320\"]\n  12 [size=\"50900992\", alpha=\"0.08\", expect_size=\"25450496\"] \n  12 -> 13 [size =\"25450496\"]\n  13 [size=\"76453888\", alpha=\"0.17\", expect_size=\"38226944\"] \n  13 -> 14 [size =\"38226944\"]\n  14 [size=\"66011136\", alpha=\"0.20\", expect_size=\"33005568\"] \n  14 -> 15 [size =\"33005568\"]\n  15 [size=\"91103232\", alpha=\"0.19\", expect_size=\"45551616\"] \n  15 -> 16 [size =\"45551616\"]\n  16 [size=\"98615296\", alpha=\"0.08\", expect_size=\"49307648\"] \n  16 -> 17 [size =\"49307648\"]\n  17 [size=\"16384000\", alpha=\"0.08\", expect_size=\"8192000\"] \n  17 -> 18 [size =\"8192000\"]\n  18 [size=\"53651456\", alpha=\"0.18\", expect_size=\"26825728\"] \n  18 -> 19 [size =\"26825728\"]\n  19 [size=\"98879488\", alpha=\"0.11\", expect_size=\"49439744\"] \n  19 -> 20 [size =\"49439744\"]\n  20 [size=\"31617024\", alpha=\"0.06\", expect_size=\"15808512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68804608\", alpha=\"0.01\", expect_size=\"34402304\"] \n  1 -> 2 [size =\"34402304\"]\n  2 [size=\"36298752\", alpha=\"0.06\", expect_size=\"18149376\"] \n  2 -> 3 [size =\"18149376\"]\n  3 [size=\"31008768\", alpha=\"0.05\", expect_size=\"15504384\"] \n  3 -> 4 [size =\"15504384\"]\n  4 [size=\"40087552\", alpha=\"0.04\", expect_size=\"20043776\"] \n  4 -> 5 [size =\"20043776\"]\n  5 [size=\"70660096\", alpha=\"0.02\", expect_size=\"35330048\"] \n  5 -> 6 [size =\"35330048\"]\n  6 [size=\"71538688\", alpha=\"0.18\", expect_size=\"35769344\"] \n  6 -> 7 [size =\"35769344\"]\n  7 [size=\"57214976\", alpha=\"0.20\", expect_size=\"28607488\"] \n  7 -> 8 [size =\"28607488\"]\n  8 [size=\"66678784\", alpha=\"0.00\", expect_size=\"33339392\"] \n  8 -> 9 [size =\"33339392\"]\n  9 [size=\"38846464\", alpha=\"0.03\", expect_size=\"19423232\"] \n  9 -> 10 [size =\"19423232\"]\n  10 [size=\"100245504\", alpha=\"0.05\", expect_size=\"50122752\"] \n  10 -> 11 [size =\"50122752\"]\n  11 [size=\"70635520\", alpha=\"0.01\", expect_size=\"35317760\"] \n  11 -> 12 [size =\"35317760\"]\n  12 [size=\"77017088\", alpha=\"0.03\", expect_size=\"38508544\"] \n  12 -> 13 [size =\"38508544\"]\n  13 [size=\"13158400\", alpha=\"0.03\", expect_size=\"6579200\"] \n  13 -> 14 [size =\"6579200\"]\n  14 [size=\"35751936\", alpha=\"0.00\", expect_size=\"17875968\"] \n  14 -> 15 [size =\"17875968\"]\n  15 [size=\"52529152\", alpha=\"0.02\", expect_size=\"26264576\"] \n  15 -> 16 [size =\"26264576\"]\n  16 [size=\"60071936\", alpha=\"0.13\", expect_size=\"30035968\"] \n  16 -> 17 [size =\"30035968\"]\n  17 [size=\"48625664\", alpha=\"0.04\", expect_size=\"24312832\"] \n  17 -> 18 [size =\"24312832\"]\n  18 [size=\"46305280\", alpha=\"0.18\", expect_size=\"23152640\"] \n  18 -> 19 [size =\"23152640\"]\n  19 [size=\"47493120\", alpha=\"0.02\", expect_size=\"23746560\"] \n  19 -> 20 [size =\"23746560\"]\n  20 [size=\"63975424\", alpha=\"0.08\", expect_size=\"31987712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44864853\", alpha=\"0.15\", expect_size=\"13459456\"] \n  1 -> 3 [size =\"13459456\"]\n  2 [size=\"37212160\", alpha=\"0.05\", expect_size=\"11163648\"] \n  2 -> 3 [size =\"11163648\"]\n  3 [size=\"147268267\", alpha=\"0.11\", expect_size=\"44180480\"] \n  3 -> 4 [size =\"44180480\"]\n  3 -> 5 [size =\"44180480\"]\n  4 [size=\"49701547\", alpha=\"0.16\", expect_size=\"14910464\"] \n  4 -> 6 [size =\"14910464\"]\n  4 -> 7 [size =\"14910464\"]\n  5 [size=\"134652587\", alpha=\"0.17\", expect_size=\"40395776\"] \n  5 -> 6 [size =\"40395776\"]\n  5 -> 7 [size =\"40395776\"]\n  6 [size=\"110694400\", alpha=\"0.08\", expect_size=\"33208320\"] \n  6 -> 9 [size =\"33208320\"]\n  7 [size=\"47220053\", alpha=\"0.07\", expect_size=\"14166016\"] \n  7 -> 8 [size =\"14166016\"]\n  7 -> 9 [size =\"14166016\"]\n  8 [size=\"40560640\", alpha=\"0.15\", expect_size=\"12168192\"] \n  8 -> 10 [size =\"12168192\"]\n  9 [size=\"162549760\", alpha=\"0.19\", expect_size=\"48764928\"] \n  9 -> 10 [size =\"48764928\"]\n  10 [size=\"153282560\", alpha=\"0.05\", expect_size=\"45984768\"] \n  10 -> 11 [size =\"45984768\"]\n  10 -> 12 [size =\"45984768\"]\n  11 [size=\"136550400\", alpha=\"0.19\", expect_size=\"40965120\"] \n  11 -> 13 [size =\"40965120\"]\n  12 [size=\"94938453\", alpha=\"0.10\", expect_size=\"28481536\"] \n  13 [size=\"138038613\", alpha=\"0.04\", expect_size=\"41411584\"] \n  13 -> 14 [size =\"41411584\"]\n  14 [size=\"64832853\", alpha=\"0.07\", expect_size=\"19449856\"] \n  14 -> 15 [size =\"19449856\"]\n  14 -> 16 [size =\"19449856\"]\n  15 [size=\"31624533\", alpha=\"0.16\", expect_size=\"9487360\"] \n  15 -> 17 [size =\"9487360\"]\n  16 [size=\"164829867\", alpha=\"0.14\", expect_size=\"49448960\"] \n  16 -> 17 [size =\"49448960\"]\n  17 [size=\"72697173\", alpha=\"0.13\", expect_size=\"21809152\"] \n  17 -> 18 [size =\"21809152\"]\n  18 [size=\"126276267\", alpha=\"0.03\", expect_size=\"37882880\"] \n  18 -> 19 [size =\"37882880\"]\n  18 -> 20 [size =\"37882880\"]\n  19 [size=\"83527680\", alpha=\"0.01\", expect_size=\"25058304\"] \n  20 [size=\"76718080\", alpha=\"0.08\", expect_size=\"23015424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71477760\", alpha=\"0.17\", expect_size=\"28591104\"] \n  1 -> 7 [size =\"28591104\"]\n  1 -> 8 [size =\"28591104\"]\n  2 [size=\"84710400\", alpha=\"0.12\", expect_size=\"33884160\"] \n  2 -> 6 [size =\"33884160\"]\n  2 -> 7 [size =\"33884160\"]\n  3 [size=\"35758080\", alpha=\"0.14\", expect_size=\"14303232\"] \n  3 -> 6 [size =\"14303232\"]\n  3 -> 7 [size =\"14303232\"]\n  4 [size=\"30743040\", alpha=\"0.12\", expect_size=\"12297216\"] \n  4 -> 7 [size =\"12297216\"]\n  5 [size=\"90275840\", alpha=\"0.16\", expect_size=\"36110336\"] \n  5 -> 6 [size =\"36110336\"]\n  6 [size=\"29063680\", alpha=\"0.08\", expect_size=\"11625472\"] \n  6 -> 10 [size =\"11625472\"]\n  7 [size=\"41244160\", alpha=\"0.07\", expect_size=\"16497664\"] \n  7 -> 9 [size =\"16497664\"]\n  8 [size=\"98764800\", alpha=\"0.01\", expect_size=\"39505920\"] \n  9 [size=\"28646400\", alpha=\"0.07\", expect_size=\"11458560\"] \n  9 -> 11 [size =\"11458560\"]\n  9 -> 12 [size =\"11458560\"]\n  10 [size=\"31979520\", alpha=\"0.06\", expect_size=\"12791808\"] \n  10 -> 12 [size =\"12791808\"]\n  11 [size=\"70320640\", alpha=\"0.16\", expect_size=\"28128256\"] \n  11 -> 13 [size =\"28128256\"]\n  11 -> 14 [size =\"28128256\"]\n  11 -> 15 [size =\"28128256\"]\n  11 -> 17 [size =\"28128256\"]\n  12 [size=\"50782720\", alpha=\"0.14\", expect_size=\"20313088\"] \n  12 -> 14 [size =\"20313088\"]\n  12 -> 15 [size =\"20313088\"]\n  12 -> 16 [size =\"20313088\"]\n  13 [size=\"121180160\", alpha=\"0.20\", expect_size=\"48472064\"] \n  13 -> 20 [size =\"48472064\"]\n  14 [size=\"83568640\", alpha=\"0.19\", expect_size=\"33427456\"] \n  14 -> 18 [size =\"33427456\"]\n  14 -> 19 [size =\"33427456\"]\n  15 [size=\"36410880\", alpha=\"0.02\", expect_size=\"14564352\"] \n  16 [size=\"15042560\", alpha=\"0.14\", expect_size=\"6017024\"] \n  16 -> 20 [size =\"6017024\"]\n  17 [size=\"60846080\", alpha=\"0.08\", expect_size=\"24338432\"] \n  18 [size=\"101573120\", alpha=\"0.03\", expect_size=\"40629248\"] \n  19 [size=\"105021440\", alpha=\"0.15\", expect_size=\"42008576\"] \n  20 [size=\"29437440\", alpha=\"0.09\", expect_size=\"11774976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32268800\", alpha=\"0.07\", expect_size=\"12907520\"] \n  1 -> 3 [size =\"12907520\"]\n  2 [size=\"28003840\", alpha=\"0.09\", expect_size=\"11201536\"] \n  3 [size=\"126402560\", alpha=\"0.20\", expect_size=\"50561024\"] \n  3 -> 4 [size =\"50561024\"]\n  4 [size=\"87001600\", alpha=\"0.13\", expect_size=\"34800640\"] \n  4 -> 5 [size =\"34800640\"]\n  5 [size=\"43714560\", alpha=\"0.09\", expect_size=\"17485824\"] \n  5 -> 6 [size =\"17485824\"]\n  6 [size=\"30812160\", alpha=\"0.19\", expect_size=\"12324864\"] \n  6 -> 7 [size =\"12324864\"]\n  7 [size=\"49006080\", alpha=\"0.04\", expect_size=\"19602432\"] \n  7 -> 8 [size =\"19602432\"]\n  7 -> 9 [size =\"19602432\"]\n  8 [size=\"86725120\", alpha=\"0.18\", expect_size=\"34690048\"] \n  8 -> 10 [size =\"34690048\"]\n  9 [size=\"93350400\", alpha=\"0.14\", expect_size=\"37340160\"] \n  10 [size=\"87229440\", alpha=\"0.14\", expect_size=\"34891776\"] \n  10 -> 11 [size =\"34891776\"]\n  10 -> 12 [size =\"34891776\"]\n  11 [size=\"72028160\", alpha=\"0.05\", expect_size=\"28811264\"] \n  11 -> 13 [size =\"28811264\"]\n  12 [size=\"112140800\", alpha=\"0.16\", expect_size=\"44856320\"] \n  12 -> 14 [size =\"44856320\"]\n  13 [size=\"48276480\", alpha=\"0.00\", expect_size=\"19310592\"] \n  13 -> 15 [size =\"19310592\"]\n  14 [size=\"48253440\", alpha=\"0.04\", expect_size=\"19301376\"] \n  14 -> 16 [size =\"19301376\"]\n  15 [size=\"124111360\", alpha=\"0.06\", expect_size=\"49644544\"] \n  15 -> 17 [size =\"49644544\"]\n  16 [size=\"58086400\", alpha=\"0.14\", expect_size=\"23234560\"] \n  17 [size=\"54108160\", alpha=\"0.03\", expect_size=\"21643264\"] \n  17 -> 18 [size =\"21643264\"]\n  17 -> 19 [size =\"21643264\"]\n  18 [size=\"77662720\", alpha=\"0.19\", expect_size=\"31065088\"] \n  18 -> 20 [size =\"31065088\"]\n  19 [size=\"67502080\", alpha=\"0.13\", expect_size=\"27000832\"] \n  20 [size=\"30604800\", alpha=\"0.15\", expect_size=\"12241920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84659200\", alpha=\"0.08\", expect_size=\"33863680\"] \n  1 -> 2 [size =\"33863680\"]\n  2 [size=\"56801280\", alpha=\"0.02\", expect_size=\"22720512\"] \n  2 -> 3 [size =\"22720512\"]\n  3 [size=\"93452800\", alpha=\"0.13\", expect_size=\"37381120\"] \n  3 -> 4 [size =\"37381120\"]\n  4 [size=\"46174720\", alpha=\"0.17\", expect_size=\"18469888\"] \n  4 -> 5 [size =\"18469888\"]\n  5 [size=\"43927040\", alpha=\"0.05\", expect_size=\"17570816\"] \n  5 -> 6 [size =\"17570816\"]\n  6 [size=\"125145600\", alpha=\"0.14\", expect_size=\"50058240\"] \n  6 -> 7 [size =\"50058240\"]\n  7 [size=\"24527360\", alpha=\"0.03\", expect_size=\"9810944\"] \n  7 -> 8 [size =\"9810944\"]\n  8 [size=\"20766720\", alpha=\"0.18\", expect_size=\"8306688\"] \n  8 -> 9 [size =\"8306688\"]\n  9 [size=\"76915200\", alpha=\"0.18\", expect_size=\"30766080\"] \n  9 -> 10 [size =\"30766080\"]\n  10 [size=\"42099200\", alpha=\"0.07\", expect_size=\"16839680\"] \n  10 -> 11 [size =\"16839680\"]\n  11 [size=\"75635200\", alpha=\"0.04\", expect_size=\"30254080\"] \n  11 -> 12 [size =\"30254080\"]\n  12 [size=\"123750400\", alpha=\"0.07\", expect_size=\"49500160\"] \n  12 -> 13 [size =\"49500160\"]\n  13 [size=\"18132480\", alpha=\"0.07\", expect_size=\"7252992\"] \n  13 -> 14 [size =\"7252992\"]\n  14 [size=\"92328960\", alpha=\"0.19\", expect_size=\"36931584\"] \n  14 -> 15 [size =\"36931584\"]\n  15 [size=\"77271040\", alpha=\"0.15\", expect_size=\"30908416\"] \n  15 -> 16 [size =\"30908416\"]\n  16 [size=\"106385920\", alpha=\"0.06\", expect_size=\"42554368\"] \n  16 -> 17 [size =\"42554368\"]\n  17 [size=\"69102080\", alpha=\"0.18\", expect_size=\"27640832\"] \n  17 -> 18 [size =\"27640832\"]\n  18 [size=\"84172800\", alpha=\"0.15\", expect_size=\"33669120\"] \n  18 -> 19 [size =\"33669120\"]\n  19 [size=\"75084800\", alpha=\"0.15\", expect_size=\"30033920\"] \n  19 -> 20 [size =\"30033920\"]\n  20 [size=\"64332800\", alpha=\"0.17\", expect_size=\"25733120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18940587\", alpha=\"0.03\", expect_size=\"5682176\"] \n  1 -> 11 [size =\"5682176\"]\n  1 -> 12 [size =\"5682176\"]\n  1 -> 14 [size =\"5682176\"]\n  1 -> 16 [size =\"5682176\"]\n  1 -> 17 [size =\"5682176\"]\n  2 [size=\"41526613\", alpha=\"0.03\", expect_size=\"12457984\"] \n  2 -> 12 [size =\"12457984\"]\n  2 -> 13 [size =\"12457984\"]\n  2 -> 14 [size =\"12457984\"]\n  2 -> 16 [size =\"12457984\"]\n  2 -> 17 [size =\"12457984\"]\n  3 [size=\"34102613\", alpha=\"0.01\", expect_size=\"10230784\"] \n  3 -> 12 [size =\"10230784\"]\n  3 -> 13 [size =\"10230784\"]\n  3 -> 14 [size =\"10230784\"]\n  3 -> 16 [size =\"10230784\"]\n  4 [size=\"31481173\", alpha=\"0.12\", expect_size=\"9444352\"] \n  4 -> 12 [size =\"9444352\"]\n  4 -> 14 [size =\"9444352\"]\n  4 -> 14 [size =\"9444352\"]\n  4 -> 16 [size =\"9444352\"]\n  5 [size=\"158214827\", alpha=\"0.03\", expect_size=\"47464448\"] \n  5 -> 12 [size =\"47464448\"]\n  5 -> 16 [size =\"47464448\"]\n  6 [size=\"143175680\", alpha=\"0.05\", expect_size=\"42952704\"] \n  6 -> 12 [size =\"42952704\"]\n  6 -> 13 [size =\"42952704\"]\n  6 -> 15 [size =\"42952704\"]\n  6 -> 16 [size =\"42952704\"]\n  7 [size=\"87347200\", alpha=\"0.12\", expect_size=\"26204160\"] \n  7 -> 12 [size =\"26204160\"]\n  7 -> 14 [size =\"26204160\"]\n  8 [size=\"32750933\", alpha=\"0.12\", expect_size=\"9825280\"] \n  8 -> 11 [size =\"9825280\"]\n  9 [size=\"155422720\", alpha=\"0.08\", expect_size=\"46626816\"] \n  9 -> 12 [size =\"46626816\"]\n  9 -> 13 [size =\"46626816\"]\n  9 -> 14 [size =\"46626816\"]\n  9 -> 16 [size =\"46626816\"]\n  10 [size=\"64972800\", alpha=\"0.14\", expect_size=\"19491840\"] \n  10 -> 12 [size =\"19491840\"]\n  10 -> 13 [size =\"19491840\"]\n  10 -> 14 [size =\"19491840\"]\n  10 -> 17 [size =\"19491840\"]\n  11 [size=\"39710720\", alpha=\"0.05\", expect_size=\"11913216\"] \n  11 -> 19 [size =\"11913216\"]\n  11 -> 20 [size =\"11913216\"]\n  12 [size=\"62402560\", alpha=\"0.19\", expect_size=\"18720768\"] \n  12 -> 19 [size =\"18720768\"]\n  12 -> 20 [size =\"18720768\"]\n  13 [size=\"87654400\", alpha=\"0.19\", expect_size=\"26296320\"] \n  13 -> 18 [size =\"26296320\"]\n  13 -> 19 [size =\"26296320\"]\n  14 [size=\"97078613\", alpha=\"0.00\", expect_size=\"29123584\"] \n  14 -> 19 [size =\"29123584\"]\n  14 -> 20 [size =\"29123584\"]\n  15 [size=\"37447680\", alpha=\"0.02\", expect_size=\"11234304\"] \n  15 -> 19 [size =\"11234304\"]\n  15 -> 20 [size =\"11234304\"]\n  16 [size=\"64781653\", alpha=\"0.13\", expect_size=\"19434496\"] \n  16 -> 20 [size =\"19434496\"]\n  17 [size=\"102277120\", alpha=\"0.09\", expect_size=\"30683136\"] \n  17 -> 19 [size =\"30683136\"]\n  17 -> 20 [size =\"30683136\"]\n  18 [size=\"38908587\", alpha=\"0.10\", expect_size=\"11672576\"] \n  19 [size=\"130443947\", alpha=\"0.16\", expect_size=\"39133184\"] \n  20 [size=\"33795413\", alpha=\"0.01\", expect_size=\"10138624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52776960\", alpha=\"0.08\", expect_size=\"26388480\"] \n  1 -> 18 [size =\"26388480\"]\n  1 -> 19 [size =\"26388480\"]\n  2 [size=\"18976768\", alpha=\"0.16\", expect_size=\"9488384\"] \n  2 -> 18 [size =\"9488384\"]\n  2 -> 19 [size =\"9488384\"]\n  3 [size=\"36558848\", alpha=\"0.10\", expect_size=\"18279424\"] \n  3 -> 17 [size =\"18279424\"]\n  3 -> 19 [size =\"18279424\"]\n  4 [size=\"94414848\", alpha=\"0.04\", expect_size=\"47207424\"] \n  4 -> 19 [size =\"47207424\"]\n  5 [size=\"68116480\", alpha=\"0.09\", expect_size=\"34058240\"] \n  5 -> 18 [size =\"34058240\"]\n  5 -> 19 [size =\"34058240\"]\n  6 [size=\"77496320\", alpha=\"0.19\", expect_size=\"38748160\"] \n  6 -> 18 [size =\"38748160\"]\n  6 -> 19 [size =\"38748160\"]\n  7 [size=\"47495168\", alpha=\"0.04\", expect_size=\"23747584\"] \n  7 -> 19 [size =\"23747584\"]\n  8 [size=\"90699776\", alpha=\"0.00\", expect_size=\"45349888\"] \n  9 [size=\"11800576\", alpha=\"0.10\", expect_size=\"5900288\"] \n  9 -> 18 [size =\"5900288\"]\n  9 -> 19 [size =\"5900288\"]\n  9 -> 20 [size =\"5900288\"]\n  10 [size=\"13105152\", alpha=\"0.03\", expect_size=\"6552576\"] \n  10 -> 20 [size =\"6552576\"]\n  11 [size=\"72667136\", alpha=\"0.06\", expect_size=\"36333568\"] \n  12 [size=\"18124800\", alpha=\"0.04\", expect_size=\"9062400\"] \n  12 -> 19 [size =\"9062400\"]\n  13 [size=\"95889408\", alpha=\"0.20\", expect_size=\"47944704\"] \n  13 -> 19 [size =\"47944704\"]\n  14 [size=\"48910336\", alpha=\"0.07\", expect_size=\"24455168\"] \n  15 [size=\"65761280\", alpha=\"0.14\", expect_size=\"32880640\"] \n  16 [size=\"11583488\", alpha=\"0.08\", expect_size=\"5791744\"] \n  16 -> 18 [size =\"5791744\"]\n  16 -> 19 [size =\"5791744\"]\n  17 [size=\"98908160\", alpha=\"0.19\", expect_size=\"49454080\"] \n  18 [size=\"24518656\", alpha=\"0.00\", expect_size=\"12259328\"] \n  19 [size=\"25767936\", alpha=\"0.06\", expect_size=\"12883968\"] \n  20 [size=\"71913472\", alpha=\"0.07\", expect_size=\"35956736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96849920\", alpha=\"0.19\", expect_size=\"48424960\"] \n  1 -> 4 [size =\"48424960\"]\n  1 -> 5 [size =\"48424960\"]\n  1 -> 6 [size =\"48424960\"]\n  1 -> 8 [size =\"48424960\"]\n  2 [size=\"12623872\", alpha=\"0.14\", expect_size=\"6311936\"] \n  2 -> 4 [size =\"6311936\"]\n  2 -> 5 [size =\"6311936\"]\n  2 -> 6 [size =\"6311936\"]\n  2 -> 7 [size =\"6311936\"]\n  2 -> 8 [size =\"6311936\"]\n  3 [size=\"84494336\", alpha=\"0.15\", expect_size=\"42247168\"] \n  3 -> 4 [size =\"42247168\"]\n  3 -> 5 [size =\"42247168\"]\n  3 -> 6 [size =\"42247168\"]\n  3 -> 7 [size =\"42247168\"]\n  3 -> 8 [size =\"42247168\"]\n  4 [size=\"85231616\", alpha=\"0.12\", expect_size=\"42615808\"] \n  4 -> 10 [size =\"42615808\"]\n  5 [size=\"81541120\", alpha=\"0.04\", expect_size=\"40770560\"] \n  6 [size=\"69236736\", alpha=\"0.11\", expect_size=\"34618368\"] \n  6 -> 9 [size =\"34618368\"]\n  7 [size=\"55654400\", alpha=\"0.04\", expect_size=\"27827200\"] \n  8 [size=\"27731968\", alpha=\"0.16\", expect_size=\"13865984\"] \n  8 -> 9 [size =\"13865984\"]\n  8 -> 10 [size =\"13865984\"]\n  9 [size=\"64937984\", alpha=\"0.17\", expect_size=\"32468992\"] \n  9 -> 11 [size =\"32468992\"]\n  9 -> 12 [size =\"32468992\"]\n  9 -> 13 [size =\"32468992\"]\n  9 -> 14 [size =\"32468992\"]\n  10 [size=\"45676544\", alpha=\"0.18\", expect_size=\"22838272\"] \n  10 -> 11 [size =\"22838272\"]\n  10 -> 12 [size =\"22838272\"]\n  10 -> 13 [size =\"22838272\"]\n  10 -> 14 [size =\"22838272\"]\n  11 [size=\"55531520\", alpha=\"0.15\", expect_size=\"27765760\"] \n  11 -> 16 [size =\"27765760\"]\n  11 -> 17 [size =\"27765760\"]\n  12 [size=\"51130368\", alpha=\"0.10\", expect_size=\"25565184\"] \n  12 -> 16 [size =\"25565184\"]\n  12 -> 17 [size =\"25565184\"]\n  13 [size=\"23296000\", alpha=\"0.12\", expect_size=\"11648000\"] \n  13 -> 15 [size =\"11648000\"]\n  13 -> 16 [size =\"11648000\"]\n  14 [size=\"93716480\", alpha=\"0.06\", expect_size=\"46858240\"] \n  14 -> 16 [size =\"46858240\"]\n  15 [size=\"54790144\", alpha=\"0.17\", expect_size=\"27395072\"] \n  15 -> 18 [size =\"27395072\"]\n  15 -> 19 [size =\"27395072\"]\n  16 [size=\"71737344\", alpha=\"0.19\", expect_size=\"35868672\"] \n  16 -> 18 [size =\"35868672\"]\n  16 -> 19 [size =\"35868672\"]\n  17 [size=\"28069888\", alpha=\"0.08\", expect_size=\"14034944\"] \n  17 -> 19 [size =\"14034944\"]\n  18 [size=\"45496320\", alpha=\"0.11\", expect_size=\"22748160\"] \n  18 -> 20 [size =\"22748160\"]\n  19 [size=\"26247168\", alpha=\"0.13\", expect_size=\"13123584\"] \n  20 [size=\"12173312\", alpha=\"0.01\", expect_size=\"6086656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72450048\", alpha=\"0.03\", expect_size=\"36225024\"] \n  1 -> 19 [size =\"36225024\"]\n  1 -> 20 [size =\"36225024\"]\n  2 [size=\"54906880\", alpha=\"0.10\", expect_size=\"27453440\"] \n  2 -> 16 [size =\"27453440\"]\n  2 -> 17 [size =\"27453440\"]\n  2 -> 18 [size =\"27453440\"]\n  2 -> 19 [size =\"27453440\"]\n  3 [size=\"57217024\", alpha=\"0.01\", expect_size=\"28608512\"] \n  3 -> 16 [size =\"28608512\"]\n  3 -> 18 [size =\"28608512\"]\n  3 -> 18 [size =\"28608512\"]\n  3 -> 19 [size =\"28608512\"]\n  4 [size=\"60815360\", alpha=\"0.08\", expect_size=\"30407680\"] \n  4 -> 19 [size =\"30407680\"]\n  5 [size=\"64544768\", alpha=\"0.03\", expect_size=\"32272384\"] \n  5 -> 18 [size =\"32272384\"]\n  5 -> 20 [size =\"32272384\"]\n  6 [size=\"82407424\", alpha=\"0.11\", expect_size=\"41203712\"] \n  6 -> 18 [size =\"41203712\"]\n  7 [size=\"74256384\", alpha=\"0.10\", expect_size=\"37128192\"] \n  7 -> 16 [size =\"37128192\"]\n  8 [size=\"41406464\", alpha=\"0.09\", expect_size=\"20703232\"] \n  8 -> 16 [size =\"20703232\"]\n  8 -> 19 [size =\"20703232\"]\n  9 [size=\"90238976\", alpha=\"0.07\", expect_size=\"45119488\"] \n  9 -> 16 [size =\"45119488\"]\n  9 -> 19 [size =\"45119488\"]\n  10 [size=\"83531776\", alpha=\"0.19\", expect_size=\"41765888\"] \n  10 -> 16 [size =\"41765888\"]\n  10 -> 17 [size =\"41765888\"]\n  11 [size=\"15779840\", alpha=\"0.08\", expect_size=\"7889920\"] \n  11 -> 20 [size =\"7889920\"]\n  12 [size=\"30562304\", alpha=\"0.04\", expect_size=\"15281152\"] \n  12 -> 19 [size =\"15281152\"]\n  12 -> 20 [size =\"15281152\"]\n  13 [size=\"77977600\", alpha=\"0.07\", expect_size=\"38988800\"] \n  13 -> 18 [size =\"38988800\"]\n  13 -> 19 [size =\"38988800\"]\n  14 [size=\"81584128\", alpha=\"0.07\", expect_size=\"40792064\"] \n  14 -> 16 [size =\"40792064\"]\n  14 -> 18 [size =\"40792064\"]\n  15 [size=\"23412736\", alpha=\"0.20\", expect_size=\"11706368\"] \n  15 -> 18 [size =\"11706368\"]\n  15 -> 20 [size =\"11706368\"]\n  16 [size=\"37576704\", alpha=\"0.09\", expect_size=\"18788352\"] \n  17 [size=\"91392000\", alpha=\"0.05\", expect_size=\"45696000\"] \n  18 [size=\"46118912\", alpha=\"0.04\", expect_size=\"23059456\"] \n  19 [size=\"86454272\", alpha=\"0.16\", expect_size=\"43227136\"] \n  20 [size=\"25640960\", alpha=\"0.06\", expect_size=\"12820480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108448427\", alpha=\"0.08\", expect_size=\"32534528\"] \n  2 [size=\"104120320\", alpha=\"0.02\", expect_size=\"31236096\"] \n  2 -> 14 [size =\"31236096\"]\n  2 -> 15 [size =\"31236096\"]\n  2 -> 19 [size =\"31236096\"]\n  3 [size=\"63839573\", alpha=\"0.17\", expect_size=\"19151872\"] \n  3 -> 14 [size =\"19151872\"]\n  3 -> 15 [size =\"19151872\"]\n  3 -> 18 [size =\"19151872\"]\n  4 [size=\"145421653\", alpha=\"0.11\", expect_size=\"43626496\"] \n  4 -> 18 [size =\"43626496\"]\n  5 [size=\"31378773\", alpha=\"0.06\", expect_size=\"9413632\"] \n  5 -> 13 [size =\"9413632\"]\n  5 -> 14 [size =\"9413632\"]\n  6 [size=\"153497600\", alpha=\"0.17\", expect_size=\"46049280\"] \n  6 -> 12 [size =\"46049280\"]\n  6 -> 19 [size =\"46049280\"]\n  7 [size=\"80660480\", alpha=\"0.02\", expect_size=\"24198144\"] \n  7 -> 17 [size =\"24198144\"]\n  7 -> 18 [size =\"24198144\"]\n  8 [size=\"168755200\", alpha=\"0.06\", expect_size=\"50626560\"] \n  8 -> 14 [size =\"50626560\"]\n  8 -> 16 [size =\"50626560\"]\n  8 -> 18 [size =\"50626560\"]\n  9 [size=\"170646187\", alpha=\"0.08\", expect_size=\"51193856\"] \n  9 -> 15 [size =\"51193856\"]\n  9 -> 17 [size =\"51193856\"]\n  9 -> 18 [size =\"51193856\"]\n  9 -> 19 [size =\"51193856\"]\n  10 [size=\"59699200\", alpha=\"0.11\", expect_size=\"17909760\"] \n  10 -> 13 [size =\"17909760\"]\n  10 -> 15 [size =\"17909760\"]\n  10 -> 19 [size =\"17909760\"]\n  10 -> 19 [size =\"17909760\"]\n  11 [size=\"23002453\", alpha=\"0.01\", expect_size=\"6900736\"] \n  11 -> 12 [size =\"6900736\"]\n  11 -> 19 [size =\"6900736\"]\n  12 [size=\"88733013\", alpha=\"0.03\", expect_size=\"26619904\"] \n  13 [size=\"106455040\", alpha=\"0.05\", expect_size=\"31936512\"] \n  14 [size=\"85176320\", alpha=\"0.14\", expect_size=\"25552896\"] \n  15 [size=\"174028800\", alpha=\"0.15\", expect_size=\"52208640\"] \n  16 [size=\"64098987\", alpha=\"0.03\", expect_size=\"19229696\"] \n  16 -> 20 [size =\"19229696\"]\n  17 [size=\"37789013\", alpha=\"0.12\", expect_size=\"11336704\"] \n  18 [size=\"51053227\", alpha=\"0.20\", expect_size=\"15315968\"] \n  19 [size=\"95358293\", alpha=\"0.01\", expect_size=\"28607488\"] \n  20 [size=\"161720320\", alpha=\"0.09\", expect_size=\"48516096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74949973\", alpha=\"0.18\", expect_size=\"22484992\"] \n  1 -> 17 [size =\"22484992\"]\n  1 -> 18 [size =\"22484992\"]\n  1 -> 20 [size =\"22484992\"]\n  2 [size=\"72799573\", alpha=\"0.04\", expect_size=\"21839872\"] \n  2 -> 17 [size =\"21839872\"]\n  2 -> 18 [size =\"21839872\"]\n  3 [size=\"51186347\", alpha=\"0.01\", expect_size=\"15355904\"] \n  3 -> 15 [size =\"15355904\"]\n  3 -> 17 [size =\"15355904\"]\n  3 -> 18 [size =\"15355904\"]\n  3 -> 20 [size =\"15355904\"]\n  4 [size=\"124016640\", alpha=\"0.02\", expect_size=\"37204992\"] \n  4 -> 15 [size =\"37204992\"]\n  4 -> 16 [size =\"37204992\"]\n  4 -> 17 [size =\"37204992\"]\n  4 -> 19 [size =\"37204992\"]\n  4 -> 20 [size =\"37204992\"]\n  5 [size=\"101597867\", alpha=\"0.07\", expect_size=\"30479360\"] \n  5 -> 15 [size =\"30479360\"]\n  5 -> 18 [size =\"30479360\"]\n  5 -> 19 [size =\"30479360\"]\n  5 -> 20 [size =\"30479360\"]\n  6 [size=\"145459200\", alpha=\"0.04\", expect_size=\"43637760\"] \n  6 -> 15 [size =\"43637760\"]\n  6 -> 18 [size =\"43637760\"]\n  7 [size=\"89572693\", alpha=\"0.16\", expect_size=\"26871808\"] \n  7 -> 17 [size =\"26871808\"]\n  7 -> 20 [size =\"26871808\"]\n  8 [size=\"143882240\", alpha=\"0.17\", expect_size=\"43164672\"] \n  8 -> 17 [size =\"43164672\"]\n  8 -> 19 [size =\"43164672\"]\n  8 -> 20 [size =\"43164672\"]\n  9 [size=\"44800000\", alpha=\"0.14\", expect_size=\"13440000\"] \n  9 -> 18 [size =\"13440000\"]\n  9 -> 20 [size =\"13440000\"]\n  9 -> 20 [size =\"13440000\"]\n  10 [size=\"20080640\", alpha=\"0.05\", expect_size=\"6024192\"] \n  10 -> 15 [size =\"6024192\"]\n  10 -> 16 [size =\"6024192\"]\n  10 -> 18 [size =\"6024192\"]\n  10 -> 20 [size =\"6024192\"]\n  11 [size=\"166591147\", alpha=\"0.19\", expect_size=\"49977344\"] \n  11 -> 16 [size =\"49977344\"]\n  11 -> 18 [size =\"49977344\"]\n  11 -> 18 [size =\"49977344\"]\n  11 -> 20 [size =\"49977344\"]\n  12 [size=\"149179733\", alpha=\"0.05\", expect_size=\"44753920\"] \n  12 -> 16 [size =\"44753920\"]\n  12 -> 18 [size =\"44753920\"]\n  13 [size=\"19964587\", alpha=\"0.14\", expect_size=\"5989376\"] \n  13 -> 16 [size =\"5989376\"]\n  13 -> 18 [size =\"5989376\"]\n  13 -> 20 [size =\"5989376\"]\n  14 [size=\"31177387\", alpha=\"0.06\", expect_size=\"9353216\"] \n  14 -> 16 [size =\"9353216\"]\n  14 -> 18 [size =\"9353216\"]\n  14 -> 19 [size =\"9353216\"]\n  14 -> 20 [size =\"9353216\"]\n  15 [size=\"44561067\", alpha=\"0.06\", expect_size=\"13368320\"] \n  16 [size=\"102765227\", alpha=\"0.00\", expect_size=\"30829568\"] \n  17 [size=\"135819947\", alpha=\"0.20\", expect_size=\"40745984\"] \n  18 [size=\"107973973\", alpha=\"0.08\", expect_size=\"32392192\"] \n  19 [size=\"81991680\", alpha=\"0.05\", expect_size=\"24597504\"] \n  20 [size=\"37072213\", alpha=\"0.04\", expect_size=\"11121664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48984064\", alpha=\"0.05\", expect_size=\"24492032\"] \n  1 -> 18 [size =\"24492032\"]\n  2 [size=\"93687808\", alpha=\"0.01\", expect_size=\"46843904\"] \n  2 -> 20 [size =\"46843904\"]\n  3 [size=\"78276608\", alpha=\"0.03\", expect_size=\"39138304\"] \n  4 [size=\"35336192\", alpha=\"0.08\", expect_size=\"17668096\"] \n  5 [size=\"12103680\", alpha=\"0.07\", expect_size=\"6051840\"] \n  6 [size=\"17709056\", alpha=\"0.17\", expect_size=\"8854528\"] \n  7 [size=\"47986688\", alpha=\"0.07\", expect_size=\"23993344\"] \n  7 -> 18 [size =\"23993344\"]\n  8 [size=\"80936960\", alpha=\"0.05\", expect_size=\"40468480\"] \n  9 [size=\"61775872\", alpha=\"0.12\", expect_size=\"30887936\"] \n  9 -> 19 [size =\"30887936\"]\n  10 [size=\"62789632\", alpha=\"0.09\", expect_size=\"31394816\"] \n  10 -> 18 [size =\"31394816\"]\n  10 -> 19 [size =\"31394816\"]\n  10 -> 20 [size =\"31394816\"]\n  11 [size=\"13178880\", alpha=\"0.13\", expect_size=\"6589440\"] \n  11 -> 18 [size =\"6589440\"]\n  11 -> 20 [size =\"6589440\"]\n  11 -> 20 [size =\"6589440\"]\n  12 [size=\"36134912\", alpha=\"0.18\", expect_size=\"18067456\"] \n  12 -> 18 [size =\"18067456\"]\n  12 -> 20 [size =\"18067456\"]\n  13 [size=\"38576128\", alpha=\"0.06\", expect_size=\"19288064\"] \n  13 -> 20 [size =\"19288064\"]\n  14 [size=\"51355648\", alpha=\"0.09\", expect_size=\"25677824\"] \n  15 [size=\"89964544\", alpha=\"0.09\", expect_size=\"44982272\"] \n  15 -> 19 [size =\"44982272\"]\n  16 [size=\"30840832\", alpha=\"0.16\", expect_size=\"15420416\"] \n  17 [size=\"14755840\", alpha=\"0.06\", expect_size=\"7377920\"] \n  17 -> 20 [size =\"7377920\"]\n  18 [size=\"50067456\", alpha=\"0.06\", expect_size=\"25033728\"] \n  19 [size=\"72235008\", alpha=\"0.12\", expect_size=\"36117504\"] \n  20 [size=\"34734080\", alpha=\"0.08\", expect_size=\"17367040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91398144\", alpha=\"0.16\", expect_size=\"45699072\"] \n  2 [size=\"57042944\", alpha=\"0.17\", expect_size=\"28521472\"] \n  3 [size=\"22913024\", alpha=\"0.00\", expect_size=\"11456512\"] \n  3 -> 8 [size =\"11456512\"]\n  4 [size=\"49817600\", alpha=\"0.11\", expect_size=\"24908800\"] \n  4 -> 12 [size =\"24908800\"]\n  4 -> 13 [size =\"24908800\"]\n  5 [size=\"50587648\", alpha=\"0.17\", expect_size=\"25293824\"] \n  5 -> 8 [size =\"25293824\"]\n  5 -> 9 [size =\"25293824\"]\n  5 -> 11 [size =\"25293824\"]\n  6 [size=\"23296000\", alpha=\"0.02\", expect_size=\"11648000\"] \n  6 -> 10 [size =\"11648000\"]\n  6 -> 11 [size =\"11648000\"]\n  6 -> 14 [size =\"11648000\"]\n  7 [size=\"21512192\", alpha=\"0.11\", expect_size=\"10756096\"] \n  7 -> 8 [size =\"10756096\"]\n  7 -> 9 [size =\"10756096\"]\n  7 -> 14 [size =\"10756096\"]\n  8 [size=\"46211072\", alpha=\"0.12\", expect_size=\"23105536\"] \n  8 -> 18 [size =\"23105536\"]\n  9 [size=\"34494464\", alpha=\"0.14\", expect_size=\"17247232\"] \n  9 -> 15 [size =\"17247232\"]\n  9 -> 17 [size =\"17247232\"]\n  9 -> 18 [size =\"17247232\"]\n  10 [size=\"79507456\", alpha=\"0.19\", expect_size=\"39753728\"] \n  10 -> 16 [size =\"39753728\"]\n  10 -> 18 [size =\"39753728\"]\n  11 [size=\"30199808\", alpha=\"0.04\", expect_size=\"15099904\"] \n  11 -> 15 [size =\"15099904\"]\n  11 -> 16 [size =\"15099904\"]\n  12 [size=\"11474944\", alpha=\"0.10\", expect_size=\"5737472\"] \n  12 -> 16 [size =\"5737472\"]\n  12 -> 19 [size =\"5737472\"]\n  12 -> 20 [size =\"5737472\"]\n  13 [size=\"90290176\", alpha=\"0.12\", expect_size=\"45145088\"] \n  13 -> 17 [size =\"45145088\"]\n  14 [size=\"91510784\", alpha=\"0.16\", expect_size=\"45755392\"] \n  15 [size=\"47360000\", alpha=\"0.01\", expect_size=\"23680000\"] \n  16 [size=\"34062336\", alpha=\"0.12\", expect_size=\"17031168\"] \n  17 [size=\"45690880\", alpha=\"0.17\", expect_size=\"22845440\"] \n  18 [size=\"99473408\", alpha=\"0.03\", expect_size=\"49736704\"] \n  19 [size=\"63782912\", alpha=\"0.12\", expect_size=\"31891456\"] \n  20 [size=\"33409024\", alpha=\"0.05\", expect_size=\"16704512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18419712\", alpha=\"0.03\", expect_size=\"9209856\"] \n  1 -> 15 [size =\"9209856\"]\n  2 [size=\"33587200\", alpha=\"0.17\", expect_size=\"16793600\"] \n  2 -> 14 [size =\"16793600\"]\n  2 -> 15 [size =\"16793600\"]\n  3 [size=\"99956736\", alpha=\"0.02\", expect_size=\"49978368\"] \n  3 -> 14 [size =\"49978368\"]\n  3 -> 20 [size =\"49978368\"]\n  4 [size=\"89677824\", alpha=\"0.16\", expect_size=\"44838912\"] \n  4 -> 15 [size =\"44838912\"]\n  4 -> 20 [size =\"44838912\"]\n  5 [size=\"12220416\", alpha=\"0.12\", expect_size=\"6110208\"] \n  5 -> 18 [size =\"6110208\"]\n  6 [size=\"47419392\", alpha=\"0.18\", expect_size=\"23709696\"] \n  7 [size=\"83394560\", alpha=\"0.03\", expect_size=\"41697280\"] \n  8 [size=\"87668736\", alpha=\"0.06\", expect_size=\"43834368\"] \n  8 -> 14 [size =\"43834368\"]\n  8 -> 17 [size =\"43834368\"]\n  8 -> 19 [size =\"43834368\"]\n  8 -> 20 [size =\"43834368\"]\n  9 [size=\"15048704\", alpha=\"0.02\", expect_size=\"7524352\"] \n  9 -> 14 [size =\"7524352\"]\n  9 -> 17 [size =\"7524352\"]\n  9 -> 20 [size =\"7524352\"]\n  10 [size=\"87345152\", alpha=\"0.12\", expect_size=\"43672576\"] \n  10 -> 14 [size =\"43672576\"]\n  10 -> 15 [size =\"43672576\"]\n  10 -> 20 [size =\"43672576\"]\n  11 [size=\"96030720\", alpha=\"0.12\", expect_size=\"48015360\"] \n  11 -> 14 [size =\"48015360\"]\n  11 -> 20 [size =\"48015360\"]\n  12 [size=\"14417920\", alpha=\"0.16\", expect_size=\"7208960\"] \n  12 -> 14 [size =\"7208960\"]\n  12 -> 16 [size =\"7208960\"]\n  12 -> 18 [size =\"7208960\"]\n  12 -> 20 [size =\"7208960\"]\n  13 [size=\"96532480\", alpha=\"0.12\", expect_size=\"48266240\"] \n  13 -> 14 [size =\"48266240\"]\n  13 -> 15 [size =\"48266240\"]\n  13 -> 16 [size =\"48266240\"]\n  13 -> 20 [size =\"48266240\"]\n  14 [size=\"13752320\", alpha=\"0.17\", expect_size=\"6876160\"] \n  15 [size=\"90042368\", alpha=\"0.04\", expect_size=\"45021184\"] \n  16 [size=\"53768192\", alpha=\"0.14\", expect_size=\"26884096\"] \n  17 [size=\"42461184\", alpha=\"0.19\", expect_size=\"21230592\"] \n  18 [size=\"57661440\", alpha=\"0.06\", expect_size=\"28830720\"] \n  19 [size=\"84443136\", alpha=\"0.09\", expect_size=\"42221568\"] \n  20 [size=\"95961088\", alpha=\"0.08\", expect_size=\"47980544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81298773\", alpha=\"0.01\", expect_size=\"24389632\"] \n  1 -> 2 [size =\"24389632\"]\n  2 [size=\"24777387\", alpha=\"0.05\", expect_size=\"7433216\"] \n  2 -> 3 [size =\"7433216\"]\n  3 [size=\"167157760\", alpha=\"0.06\", expect_size=\"50147328\"] \n  3 -> 4 [size =\"50147328\"]\n  4 [size=\"83988480\", alpha=\"0.10\", expect_size=\"25196544\"] \n  4 -> 5 [size =\"25196544\"]\n  5 [size=\"149203627\", alpha=\"0.02\", expect_size=\"44761088\"] \n  5 -> 6 [size =\"44761088\"]\n  6 [size=\"149060267\", alpha=\"0.01\", expect_size=\"44718080\"] \n  6 -> 7 [size =\"44718080\"]\n  7 [size=\"142021973\", alpha=\"0.00\", expect_size=\"42606592\"] \n  7 -> 8 [size =\"42606592\"]\n  8 [size=\"163413333\", alpha=\"0.01\", expect_size=\"49024000\"] \n  8 -> 9 [size =\"49024000\"]\n  9 [size=\"148493653\", alpha=\"0.16\", expect_size=\"44548096\"] \n  9 -> 10 [size =\"44548096\"]\n  10 [size=\"65269760\", alpha=\"0.14\", expect_size=\"19580928\"] \n  10 -> 11 [size =\"19580928\"]\n  11 [size=\"174506667\", alpha=\"0.11\", expect_size=\"52352000\"] \n  11 -> 12 [size =\"52352000\"]\n  12 [size=\"25975467\", alpha=\"0.06\", expect_size=\"7792640\"] \n  12 -> 13 [size =\"7792640\"]\n  13 [size=\"62050987\", alpha=\"0.17\", expect_size=\"18615296\"] \n  13 -> 14 [size =\"18615296\"]\n  14 [size=\"107929600\", alpha=\"0.01\", expect_size=\"32378880\"] \n  14 -> 15 [size =\"32378880\"]\n  15 [size=\"26999467\", alpha=\"0.08\", expect_size=\"8099840\"] \n  15 -> 16 [size =\"8099840\"]\n  16 [size=\"46090240\", alpha=\"0.09\", expect_size=\"13827072\"] \n  16 -> 17 [size =\"13827072\"]\n  17 [size=\"54964907\", alpha=\"0.11\", expect_size=\"16489472\"] \n  17 -> 18 [size =\"16489472\"]\n  18 [size=\"58716160\", alpha=\"0.16\", expect_size=\"17614848\"] \n  18 -> 19 [size =\"17614848\"]\n  19 [size=\"65348267\", alpha=\"0.01\", expect_size=\"19604480\"] \n  19 -> 20 [size =\"19604480\"]\n  20 [size=\"34061653\", alpha=\"0.15\", expect_size=\"10218496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72767488\", alpha=\"0.03\", expect_size=\"36383744\"] \n  1 -> 5 [size =\"36383744\"]\n  1 -> 7 [size =\"36383744\"]\n  2 [size=\"70887424\", alpha=\"0.20\", expect_size=\"35443712\"] \n  2 -> 5 [size =\"35443712\"]\n  2 -> 6 [size =\"35443712\"]\n  2 -> 8 [size =\"35443712\"]\n  3 [size=\"41127936\", alpha=\"0.10\", expect_size=\"20563968\"] \n  3 -> 6 [size =\"20563968\"]\n  4 [size=\"27705344\", alpha=\"0.09\", expect_size=\"13852672\"] \n  4 -> 5 [size =\"13852672\"]\n  4 -> 7 [size =\"13852672\"]\n  5 [size=\"38285312\", alpha=\"0.11\", expect_size=\"19142656\"] \n  5 -> 9 [size =\"19142656\"]\n  5 -> 10 [size =\"19142656\"]\n  6 [size=\"99321856\", alpha=\"0.16\", expect_size=\"49660928\"] \n  6 -> 9 [size =\"49660928\"]\n  6 -> 11 [size =\"49660928\"]\n  7 [size=\"81707008\", alpha=\"0.18\", expect_size=\"40853504\"] \n  7 -> 9 [size =\"40853504\"]\n  7 -> 10 [size =\"40853504\"]\n  8 [size=\"50606080\", alpha=\"0.11\", expect_size=\"25303040\"] \n  9 [size=\"97699840\", alpha=\"0.06\", expect_size=\"48849920\"] \n  9 -> 12 [size =\"48849920\"]\n  9 -> 13 [size =\"48849920\"]\n  9 -> 15 [size =\"48849920\"]\n  10 [size=\"30875648\", alpha=\"0.13\", expect_size=\"15437824\"] \n  10 -> 14 [size =\"15437824\"]\n  11 [size=\"89837568\", alpha=\"0.04\", expect_size=\"44918784\"] \n  11 -> 15 [size =\"44918784\"]\n  12 [size=\"11141120\", alpha=\"0.08\", expect_size=\"5570560\"] \n  12 -> 17 [size =\"5570560\"]\n  13 [size=\"103825408\", alpha=\"0.08\", expect_size=\"51912704\"] \n  13 -> 16 [size =\"51912704\"]\n  14 [size=\"54695936\", alpha=\"0.05\", expect_size=\"27347968\"] \n  14 -> 17 [size =\"27347968\"]\n  14 -> 18 [size =\"27347968\"]\n  15 [size=\"96423936\", alpha=\"0.15\", expect_size=\"48211968\"] \n  15 -> 17 [size =\"48211968\"]\n  16 [size=\"54407168\", alpha=\"0.15\", expect_size=\"27203584\"] \n  16 -> 19 [size =\"27203584\"]\n  16 -> 20 [size =\"27203584\"]\n  17 [size=\"34967552\", alpha=\"0.19\", expect_size=\"17483776\"] \n  17 -> 19 [size =\"17483776\"]\n  18 [size=\"23445504\", alpha=\"0.18\", expect_size=\"11722752\"] \n  18 -> 19 [size =\"11722752\"]\n  19 [size=\"76195840\", alpha=\"0.16\", expect_size=\"38097920\"] \n  20 [size=\"104683520\", alpha=\"0.10\", expect_size=\"52341760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86466560\", alpha=\"0.12\", expect_size=\"34586624\"] \n  1 -> 2 [size =\"34586624\"]\n  1 -> 3 [size =\"34586624\"]\n  2 [size=\"96729600\", alpha=\"0.14\", expect_size=\"38691840\"] \n  2 -> 4 [size =\"38691840\"]\n  2 -> 5 [size =\"38691840\"]\n  3 [size=\"114055680\", alpha=\"0.01\", expect_size=\"45622272\"] \n  3 -> 5 [size =\"45622272\"]\n  4 [size=\"58357760\", alpha=\"0.15\", expect_size=\"23343104\"] \n  4 -> 6 [size =\"23343104\"]\n  5 [size=\"32757760\", alpha=\"0.17\", expect_size=\"13103104\"] \n  6 [size=\"35018240\", alpha=\"0.04\", expect_size=\"14007296\"] \n  6 -> 7 [size =\"14007296\"]\n  6 -> 8 [size =\"14007296\"]\n  7 [size=\"50577920\", alpha=\"0.02\", expect_size=\"20231168\"] \n  7 -> 9 [size =\"20231168\"]\n  8 [size=\"100341760\", alpha=\"0.13\", expect_size=\"40136704\"] \n  8 -> 9 [size =\"40136704\"]\n  8 -> 10 [size =\"40136704\"]\n  9 [size=\"27880960\", alpha=\"0.09\", expect_size=\"11152384\"] \n  9 -> 11 [size =\"11152384\"]\n  10 [size=\"123904000\", alpha=\"0.15\", expect_size=\"49561600\"] \n  10 -> 11 [size =\"49561600\"]\n  11 [size=\"80616960\", alpha=\"0.14\", expect_size=\"32246784\"] \n  11 -> 12 [size =\"32246784\"]\n  11 -> 13 [size =\"32246784\"]\n  12 [size=\"34467840\", alpha=\"0.04\", expect_size=\"13787136\"] \n  12 -> 14 [size =\"13787136\"]\n  12 -> 15 [size =\"13787136\"]\n  13 [size=\"115840000\", alpha=\"0.18\", expect_size=\"46336000\"] \n  13 -> 14 [size =\"46336000\"]\n  13 -> 15 [size =\"46336000\"]\n  14 [size=\"122990080\", alpha=\"0.19\", expect_size=\"49196032\"] \n  14 -> 16 [size =\"49196032\"]\n  14 -> 17 [size =\"49196032\"]\n  15 [size=\"90798080\", alpha=\"0.15\", expect_size=\"36319232\"] \n  15 -> 16 [size =\"36319232\"]\n  15 -> 17 [size =\"36319232\"]\n  16 [size=\"71011840\", alpha=\"0.19\", expect_size=\"28404736\"] \n  16 -> 18 [size =\"28404736\"]\n  17 [size=\"91742720\", alpha=\"0.15\", expect_size=\"36697088\"] \n  17 -> 18 [size =\"36697088\"]\n  18 [size=\"100820480\", alpha=\"0.05\", expect_size=\"40328192\"] \n  18 -> 19 [size =\"40328192\"]\n  19 [size=\"59307520\", alpha=\"0.08\", expect_size=\"23723008\"] \n  19 -> 20 [size =\"23723008\"]\n  20 [size=\"110126080\", alpha=\"0.15\", expect_size=\"44050432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25287680\", alpha=\"0.08\", expect_size=\"10115072\"] \n  1 -> 5 [size =\"10115072\"]\n  1 -> 6 [size =\"10115072\"]\n  1 -> 8 [size =\"10115072\"]\n  2 [size=\"69486080\", alpha=\"0.03\", expect_size=\"27794432\"] \n  2 -> 5 [size =\"27794432\"]\n  2 -> 6 [size =\"27794432\"]\n  2 -> 7 [size =\"27794432\"]\n  3 [size=\"122716160\", alpha=\"0.19\", expect_size=\"49086464\"] \n  3 -> 5 [size =\"49086464\"]\n  3 -> 6 [size =\"49086464\"]\n  3 -> 7 [size =\"49086464\"]\n  4 [size=\"74483200\", alpha=\"0.00\", expect_size=\"29793280\"] \n  4 -> 6 [size =\"29793280\"]\n  4 -> 7 [size =\"29793280\"]\n  4 -> 7 [size =\"29793280\"]\n  5 [size=\"79992320\", alpha=\"0.17\", expect_size=\"31996928\"] \n  5 -> 10 [size =\"31996928\"]\n  5 -> 11 [size =\"31996928\"]\n  5 -> 11 [size =\"31996928\"]\n  6 [size=\"90741760\", alpha=\"0.06\", expect_size=\"36296704\"] \n  7 [size=\"92531200\", alpha=\"0.04\", expect_size=\"37012480\"] \n  7 -> 11 [size =\"37012480\"]\n  8 [size=\"37616640\", alpha=\"0.06\", expect_size=\"15046656\"] \n  8 -> 9 [size =\"15046656\"]\n  8 -> 10 [size =\"15046656\"]\n  8 -> 11 [size =\"15046656\"]\n  9 [size=\"118021120\", alpha=\"0.04\", expect_size=\"47208448\"] \n  9 -> 12 [size =\"47208448\"]\n  9 -> 14 [size =\"47208448\"]\n  10 [size=\"118369280\", alpha=\"0.06\", expect_size=\"47347712\"] \n  10 -> 12 [size =\"47347712\"]\n  11 [size=\"60408320\", alpha=\"0.11\", expect_size=\"24163328\"] \n  11 -> 12 [size =\"24163328\"]\n  11 -> 13 [size =\"24163328\"]\n  12 [size=\"106273280\", alpha=\"0.15\", expect_size=\"42509312\"] \n  12 -> 16 [size =\"42509312\"]\n  13 [size=\"121679360\", alpha=\"0.09\", expect_size=\"48671744\"] \n  13 -> 15 [size =\"48671744\"]\n  13 -> 16 [size =\"48671744\"]\n  14 [size=\"115409920\", alpha=\"0.01\", expect_size=\"46163968\"] \n  14 -> 15 [size =\"46163968\"]\n  14 -> 17 [size =\"46163968\"]\n  15 [size=\"115458560\", alpha=\"0.04\", expect_size=\"46183424\"] \n  15 -> 18 [size =\"46183424\"]\n  15 -> 19 [size =\"46183424\"]\n  15 -> 20 [size =\"46183424\"]\n  16 [size=\"97236480\", alpha=\"0.20\", expect_size=\"38894592\"] \n  16 -> 18 [size =\"38894592\"]\n  16 -> 19 [size =\"38894592\"]\n  16 -> 20 [size =\"38894592\"]\n  17 [size=\"130252800\", alpha=\"0.02\", expect_size=\"52101120\"] \n  17 -> 18 [size =\"52101120\"]\n  17 -> 19 [size =\"52101120\"]\n  17 -> 20 [size =\"52101120\"]\n  18 [size=\"38049280\", alpha=\"0.09\", expect_size=\"15219712\"] \n  19 [size=\"75289600\", alpha=\"0.13\", expect_size=\"30115840\"] \n  20 [size=\"100144640\", alpha=\"0.18\", expect_size=\"40057856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68744533\", alpha=\"0.10\", expect_size=\"20623360\"] \n  1 -> 5 [size =\"20623360\"]\n  1 -> 7 [size =\"20623360\"]\n  1 -> 8 [size =\"20623360\"]\n  2 [size=\"40768853\", alpha=\"0.09\", expect_size=\"12230656\"] \n  2 -> 5 [size =\"12230656\"]\n  2 -> 6 [size =\"12230656\"]\n  2 -> 8 [size =\"12230656\"]\n  3 [size=\"132734293\", alpha=\"0.09\", expect_size=\"39820288\"] \n  3 -> 5 [size =\"39820288\"]\n  3 -> 7 [size =\"39820288\"]\n  3 -> 8 [size =\"39820288\"]\n  4 [size=\"86807893\", alpha=\"0.11\", expect_size=\"26042368\"] \n  4 -> 5 [size =\"26042368\"]\n  4 -> 6 [size =\"26042368\"]\n  4 -> 7 [size =\"26042368\"]\n  4 -> 8 [size =\"26042368\"]\n  5 [size=\"89036800\", alpha=\"0.10\", expect_size=\"26711040\"] \n  5 -> 9 [size =\"26711040\"]\n  5 -> 11 [size =\"26711040\"]\n  6 [size=\"59699200\", alpha=\"0.00\", expect_size=\"17909760\"] \n  6 -> 9 [size =\"17909760\"]\n  6 -> 10 [size =\"17909760\"]\n  6 -> 11 [size =\"17909760\"]\n  6 -> 12 [size =\"17909760\"]\n  7 [size=\"38652587\", alpha=\"0.13\", expect_size=\"11595776\"] \n  7 -> 10 [size =\"11595776\"]\n  7 -> 11 [size =\"11595776\"]\n  7 -> 11 [size =\"11595776\"]\n  8 [size=\"112039253\", alpha=\"0.19\", expect_size=\"33611776\"] \n  8 -> 9 [size =\"33611776\"]\n  8 -> 10 [size =\"33611776\"]\n  9 [size=\"36993707\", alpha=\"0.13\", expect_size=\"11098112\"] \n  10 [size=\"132683093\", alpha=\"0.13\", expect_size=\"39804928\"] \n  10 -> 13 [size =\"39804928\"]\n  10 -> 14 [size =\"39804928\"]\n  11 [size=\"46230187\", alpha=\"0.19\", expect_size=\"13869056\"] \n  11 -> 14 [size =\"13869056\"]\n  11 -> 14 [size =\"13869056\"]\n  11 -> 15 [size =\"13869056\"]\n  12 [size=\"124832427\", alpha=\"0.03\", expect_size=\"37449728\"] \n  13 [size=\"38983680\", alpha=\"0.20\", expect_size=\"11695104\"] \n  13 -> 16 [size =\"11695104\"]\n  13 -> 19 [size =\"11695104\"]\n  14 [size=\"106567680\", alpha=\"0.18\", expect_size=\"31970304\"] \n  14 -> 16 [size =\"31970304\"]\n  14 -> 17 [size =\"31970304\"]\n  14 -> 18 [size =\"31970304\"]\n  14 -> 19 [size =\"31970304\"]\n  15 [size=\"32385707\", alpha=\"0.08\", expect_size=\"9715712\"] \n  15 -> 16 [size =\"9715712\"]\n  15 -> 17 [size =\"9715712\"]\n  15 -> 19 [size =\"9715712\"]\n  16 [size=\"109356373\", alpha=\"0.12\", expect_size=\"32806912\"] \n  16 -> 20 [size =\"32806912\"]\n  17 [size=\"112640000\", alpha=\"0.03\", expect_size=\"33792000\"] \n  17 -> 20 [size =\"33792000\"]\n  18 [size=\"55429120\", alpha=\"0.04\", expect_size=\"16628736\"] \n  18 -> 20 [size =\"16628736\"]\n  19 [size=\"46185813\", alpha=\"0.16\", expect_size=\"13855744\"] \n  19 -> 20 [size =\"13855744\"]\n  20 [size=\"150282240\", alpha=\"0.12\", expect_size=\"45084672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60738560\", alpha=\"0.16\", expect_size=\"24295424\"] \n  1 -> 5 [size =\"24295424\"]\n  1 -> 6 [size =\"24295424\"]\n  2 [size=\"40076800\", alpha=\"0.11\", expect_size=\"16030720\"] \n  2 -> 5 [size =\"16030720\"]\n  3 [size=\"62709760\", alpha=\"0.07\", expect_size=\"25083904\"] \n  4 [size=\"46630400\", alpha=\"0.07\", expect_size=\"18652160\"] \n  5 [size=\"108628480\", alpha=\"0.17\", expect_size=\"43451392\"] \n  5 -> 8 [size =\"43451392\"]\n  5 -> 9 [size =\"43451392\"]\n  6 [size=\"81551360\", alpha=\"0.02\", expect_size=\"32620544\"] \n  6 -> 7 [size =\"32620544\"]\n  7 [size=\"15257600\", alpha=\"0.20\", expect_size=\"6103040\"] \n  7 -> 12 [size =\"6103040\"]\n  8 [size=\"97095680\", alpha=\"0.07\", expect_size=\"38838272\"] \n  8 -> 10 [size =\"38838272\"]\n  8 -> 11 [size =\"38838272\"]\n  9 [size=\"70709760\", alpha=\"0.11\", expect_size=\"28283904\"] \n  9 -> 11 [size =\"28283904\"]\n  10 [size=\"110284800\", alpha=\"0.09\", expect_size=\"44113920\"] \n  10 -> 13 [size =\"44113920\"]\n  10 -> 15 [size =\"44113920\"]\n  11 [size=\"56430080\", alpha=\"0.11\", expect_size=\"22572032\"] \n  12 [size=\"34252800\", alpha=\"0.06\", expect_size=\"13701120\"] \n  12 -> 14 [size =\"13701120\"]\n  12 -> 15 [size =\"13701120\"]\n  13 [size=\"96647680\", alpha=\"0.14\", expect_size=\"38659072\"] \n  13 -> 17 [size =\"38659072\"]\n  14 [size=\"20249600\", alpha=\"0.05\", expect_size=\"8099840\"] \n  14 -> 16 [size =\"8099840\"]\n  14 -> 18 [size =\"8099840\"]\n  14 -> 19 [size =\"8099840\"]\n  15 [size=\"59453440\", alpha=\"0.18\", expect_size=\"23781376\"] \n  15 -> 17 [size =\"23781376\"]\n  15 -> 18 [size =\"23781376\"]\n  15 -> 19 [size =\"23781376\"]\n  16 [size=\"43676160\", alpha=\"0.03\", expect_size=\"17470464\"] \n  16 -> 20 [size =\"17470464\"]\n  17 [size=\"53260800\", alpha=\"0.14\", expect_size=\"21304320\"] \n  18 [size=\"50595840\", alpha=\"0.15\", expect_size=\"20238336\"] \n  19 [size=\"90547200\", alpha=\"0.17\", expect_size=\"36218880\"] \n  19 -> 20 [size =\"36218880\"]\n  20 [size=\"37363200\", alpha=\"0.06\", expect_size=\"14945280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24367104\", alpha=\"0.04\", expect_size=\"12183552\"] \n  1 -> 2 [size =\"12183552\"]\n  2 [size=\"23021568\", alpha=\"0.10\", expect_size=\"11510784\"] \n  2 -> 3 [size =\"11510784\"]\n  3 [size=\"56246272\", alpha=\"0.01\", expect_size=\"28123136\"] \n  3 -> 4 [size =\"28123136\"]\n  4 [size=\"55365632\", alpha=\"0.07\", expect_size=\"27682816\"] \n  4 -> 5 [size =\"27682816\"]\n  5 [size=\"94984192\", alpha=\"0.12\", expect_size=\"47492096\"] \n  5 -> 6 [size =\"47492096\"]\n  6 [size=\"47110144\", alpha=\"0.18\", expect_size=\"23555072\"] \n  6 -> 7 [size =\"23555072\"]\n  7 [size=\"91971584\", alpha=\"0.05\", expect_size=\"45985792\"] \n  7 -> 8 [size =\"45985792\"]\n  8 [size=\"22636544\", alpha=\"0.19\", expect_size=\"11318272\"] \n  8 -> 9 [size =\"11318272\"]\n  8 -> 10 [size =\"11318272\"]\n  9 [size=\"68065280\", alpha=\"0.01\", expect_size=\"34032640\"] \n  9 -> 11 [size =\"34032640\"]\n  10 [size=\"52201472\", alpha=\"0.19\", expect_size=\"26100736\"] \n  11 [size=\"30726144\", alpha=\"0.11\", expect_size=\"15363072\"] \n  11 -> 12 [size =\"15363072\"]\n  12 [size=\"51517440\", alpha=\"0.06\", expect_size=\"25758720\"] \n  12 -> 13 [size =\"25758720\"]\n  13 [size=\"96544768\", alpha=\"0.06\", expect_size=\"48272384\"] \n  13 -> 14 [size =\"48272384\"]\n  13 -> 15 [size =\"48272384\"]\n  14 [size=\"100700160\", alpha=\"0.16\", expect_size=\"50350080\"] \n  14 -> 16 [size =\"50350080\"]\n  14 -> 17 [size =\"50350080\"]\n  15 [size=\"41566208\", alpha=\"0.19\", expect_size=\"20783104\"] \n  15 -> 16 [size =\"20783104\"]\n  16 [size=\"96057344\", alpha=\"0.11\", expect_size=\"48028672\"] \n  16 -> 19 [size =\"48028672\"]\n  17 [size=\"86175744\", alpha=\"0.06\", expect_size=\"43087872\"] \n  17 -> 18 [size =\"43087872\"]\n  18 [size=\"13295616\", alpha=\"0.11\", expect_size=\"6647808\"] \n  19 [size=\"102770688\", alpha=\"0.01\", expect_size=\"51385344\"] \n  19 -> 20 [size =\"51385344\"]\n  20 [size=\"12967936\", alpha=\"0.02\", expect_size=\"6483968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155422720\", alpha=\"0.00\", expect_size=\"46626816\"] \n  1 -> 2 [size =\"46626816\"]\n  2 [size=\"113616213\", alpha=\"0.19\", expect_size=\"34084864\"] \n  2 -> 3 [size =\"34084864\"]\n  3 [size=\"83572053\", alpha=\"0.18\", expect_size=\"25071616\"] \n  3 -> 4 [size =\"25071616\"]\n  4 [size=\"134427307\", alpha=\"0.09\", expect_size=\"40328192\"] \n  4 -> 5 [size =\"40328192\"]\n  4 -> 6 [size =\"40328192\"]\n  5 [size=\"157436587\", alpha=\"0.12\", expect_size=\"47230976\"] \n  6 [size=\"67488427\", alpha=\"0.16\", expect_size=\"20246528\"] \n  6 -> 7 [size =\"20246528\"]\n  7 [size=\"98536107\", alpha=\"0.18\", expect_size=\"29560832\"] \n  7 -> 8 [size =\"29560832\"]\n  8 [size=\"31699627\", alpha=\"0.08\", expect_size=\"9509888\"] \n  8 -> 9 [size =\"9509888\"]\n  8 -> 10 [size =\"9509888\"]\n  9 [size=\"123716267\", alpha=\"0.01\", expect_size=\"37114880\"] \n  9 -> 11 [size =\"37114880\"]\n  10 [size=\"165836800\", alpha=\"0.14\", expect_size=\"49751040\"] \n  11 [size=\"107496107\", alpha=\"0.18\", expect_size=\"32248832\"] \n  11 -> 12 [size =\"32248832\"]\n  11 -> 13 [size =\"32248832\"]\n  12 [size=\"109441707\", alpha=\"0.10\", expect_size=\"32832512\"] \n  12 -> 14 [size =\"32832512\"]\n  13 [size=\"103034880\", alpha=\"0.02\", expect_size=\"30910464\"] \n  14 [size=\"86370987\", alpha=\"0.12\", expect_size=\"25911296\"] \n  14 -> 15 [size =\"25911296\"]\n  14 -> 16 [size =\"25911296\"]\n  15 [size=\"155364693\", alpha=\"0.17\", expect_size=\"46609408\"] \n  15 -> 18 [size =\"46609408\"]\n  16 [size=\"90248533\", alpha=\"0.13\", expect_size=\"27074560\"] \n  16 -> 17 [size =\"27074560\"]\n  17 [size=\"58265600\", alpha=\"0.18\", expect_size=\"17479680\"] \n  18 [size=\"44687360\", alpha=\"0.08\", expect_size=\"13406208\"] \n  18 -> 19 [size =\"13406208\"]\n  18 -> 20 [size =\"13406208\"]\n  19 [size=\"108004693\", alpha=\"0.05\", expect_size=\"32401408\"] \n  20 [size=\"116660907\", alpha=\"0.00\", expect_size=\"34998272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46083413\", alpha=\"0.14\", expect_size=\"13825024\"] \n  1 -> 2 [size =\"13825024\"]\n  2 [size=\"52817920\", alpha=\"0.13\", expect_size=\"15845376\"] \n  2 -> 3 [size =\"15845376\"]\n  3 [size=\"155030187\", alpha=\"0.19\", expect_size=\"46509056\"] \n  3 -> 4 [size =\"46509056\"]\n  4 [size=\"64580267\", alpha=\"0.05\", expect_size=\"19374080\"] \n  4 -> 5 [size =\"19374080\"]\n  5 [size=\"84094293\", alpha=\"0.04\", expect_size=\"25228288\"] \n  5 -> 6 [size =\"25228288\"]\n  6 [size=\"80373760\", alpha=\"0.18\", expect_size=\"24112128\"] \n  6 -> 7 [size =\"24112128\"]\n  7 [size=\"33556480\", alpha=\"0.04\", expect_size=\"10066944\"] \n  7 -> 8 [size =\"10066944\"]\n  8 [size=\"138786133\", alpha=\"0.18\", expect_size=\"41635840\"] \n  8 -> 9 [size =\"41635840\"]\n  9 [size=\"156279467\", alpha=\"0.05\", expect_size=\"46883840\"] \n  9 -> 10 [size =\"46883840\"]\n  10 [size=\"171093333\", alpha=\"0.07\", expect_size=\"51328000\"] \n  10 -> 11 [size =\"51328000\"]\n  11 [size=\"166423893\", alpha=\"0.12\", expect_size=\"49927168\"] \n  11 -> 12 [size =\"49927168\"]\n  12 [size=\"115763200\", alpha=\"0.20\", expect_size=\"34728960\"] \n  12 -> 13 [size =\"34728960\"]\n  13 [size=\"59706027\", alpha=\"0.11\", expect_size=\"17911808\"] \n  13 -> 14 [size =\"17911808\"]\n  14 [size=\"53896533\", alpha=\"0.17\", expect_size=\"16168960\"] \n  14 -> 15 [size =\"16168960\"]\n  15 [size=\"95641600\", alpha=\"0.04\", expect_size=\"28692480\"] \n  15 -> 16 [size =\"28692480\"]\n  16 [size=\"130976427\", alpha=\"0.17\", expect_size=\"39292928\"] \n  16 -> 17 [size =\"39292928\"]\n  17 [size=\"116360533\", alpha=\"0.09\", expect_size=\"34908160\"] \n  17 -> 18 [size =\"34908160\"]\n  18 [size=\"143981227\", alpha=\"0.18\", expect_size=\"43194368\"] \n  18 -> 19 [size =\"43194368\"]\n  19 [size=\"130856960\", alpha=\"0.18\", expect_size=\"39257088\"] \n  19 -> 20 [size =\"39257088\"]\n  20 [size=\"169796267\", alpha=\"0.20\", expect_size=\"50938880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100717227\", alpha=\"0.09\", expect_size=\"30215168\"] \n  1 -> 19 [size =\"30215168\"]\n  1 -> 20 [size =\"30215168\"]\n  2 [size=\"51527680\", alpha=\"0.14\", expect_size=\"15458304\"] \n  2 -> 18 [size =\"15458304\"]\n  2 -> 19 [size =\"15458304\"]\n  2 -> 20 [size =\"15458304\"]\n  3 [size=\"165812907\", alpha=\"0.06\", expect_size=\"49743872\"] \n  3 -> 18 [size =\"49743872\"]\n  3 -> 19 [size =\"49743872\"]\n  4 [size=\"56589653\", alpha=\"0.05\", expect_size=\"16976896\"] \n  4 -> 19 [size =\"16976896\"]\n  4 -> 20 [size =\"16976896\"]\n  5 [size=\"74362880\", alpha=\"0.08\", expect_size=\"22308864\"] \n  5 -> 19 [size =\"22308864\"]\n  6 [size=\"39720960\", alpha=\"0.16\", expect_size=\"11916288\"] \n  6 -> 18 [size =\"11916288\"]\n  6 -> 19 [size =\"11916288\"]\n  7 [size=\"28002987\", alpha=\"0.06\", expect_size=\"8400896\"] \n  7 -> 19 [size =\"8400896\"]\n  8 [size=\"172909227\", alpha=\"0.08\", expect_size=\"51872768\"] \n  8 -> 18 [size =\"51872768\"]\n  9 [size=\"66604373\", alpha=\"0.06\", expect_size=\"19981312\"] \n  10 [size=\"166806187\", alpha=\"0.04\", expect_size=\"50041856\"] \n  10 -> 19 [size =\"50041856\"]\n  10 -> 20 [size =\"50041856\"]\n  11 [size=\"92033707\", alpha=\"0.19\", expect_size=\"27610112\"] \n  11 -> 19 [size =\"27610112\"]\n  11 -> 20 [size =\"27610112\"]\n  12 [size=\"161952427\", alpha=\"0.04\", expect_size=\"48585728\"] \n  12 -> 20 [size =\"48585728\"]\n  13 [size=\"111134720\", alpha=\"0.10\", expect_size=\"33340416\"] \n  13 -> 19 [size =\"33340416\"]\n  13 -> 20 [size =\"33340416\"]\n  14 [size=\"156613973\", alpha=\"0.09\", expect_size=\"46984192\"] \n  14 -> 18 [size =\"46984192\"]\n  14 -> 19 [size =\"46984192\"]\n  14 -> 20 [size =\"46984192\"]\n  15 [size=\"36410027\", alpha=\"0.11\", expect_size=\"10923008\"] \n  15 -> 20 [size =\"10923008\"]\n  16 [size=\"96126293\", alpha=\"0.11\", expect_size=\"28837888\"] \n  16 -> 19 [size =\"28837888\"]\n  16 -> 20 [size =\"28837888\"]\n  17 [size=\"62801920\", alpha=\"0.16\", expect_size=\"18840576\"] \n  17 -> 19 [size =\"18840576\"]\n  17 -> 20 [size =\"18840576\"]\n  18 [size=\"110974293\", alpha=\"0.15\", expect_size=\"33292288\"] \n  19 [size=\"174752427\", alpha=\"0.18\", expect_size=\"52425728\"] \n  20 [size=\"61706240\", alpha=\"0.19\", expect_size=\"18511872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123100160\", alpha=\"0.11\", expect_size=\"49240064\"] \n  1 -> 4 [size =\"49240064\"]\n  1 -> 5 [size =\"49240064\"]\n  2 [size=\"129937920\", alpha=\"0.11\", expect_size=\"51975168\"] \n  2 -> 4 [size =\"51975168\"]\n  2 -> 6 [size =\"51975168\"]\n  3 [size=\"100487680\", alpha=\"0.17\", expect_size=\"40195072\"] \n  3 -> 6 [size =\"40195072\"]\n  4 [size=\"16783360\", alpha=\"0.03\", expect_size=\"6713344\"] \n  4 -> 7 [size =\"6713344\"]\n  4 -> 8 [size =\"6713344\"]\n  4 -> 9 [size =\"6713344\"]\n  4 -> 10 [size =\"6713344\"]\n  5 [size=\"116997120\", alpha=\"0.04\", expect_size=\"46798848\"] \n  5 -> 9 [size =\"46798848\"]\n  6 [size=\"107906560\", alpha=\"0.05\", expect_size=\"43162624\"] \n  6 -> 7 [size =\"43162624\"]\n  6 -> 10 [size =\"43162624\"]\n  7 [size=\"62970880\", alpha=\"0.05\", expect_size=\"25188352\"] \n  8 [size=\"18695680\", alpha=\"0.12\", expect_size=\"7478272\"] \n  8 -> 12 [size =\"7478272\"]\n  9 [size=\"104448000\", alpha=\"0.19\", expect_size=\"41779200\"] \n  9 -> 11 [size =\"41779200\"]\n  9 -> 13 [size =\"41779200\"]\n  10 [size=\"61191680\", alpha=\"0.15\", expect_size=\"24476672\"] \n  10 -> 11 [size =\"24476672\"]\n  10 -> 12 [size =\"24476672\"]\n  11 [size=\"20723200\", alpha=\"0.00\", expect_size=\"8289280\"] \n  11 -> 14 [size =\"8289280\"]\n  11 -> 16 [size =\"8289280\"]\n  11 -> 17 [size =\"8289280\"]\n  12 [size=\"85946880\", alpha=\"0.06\", expect_size=\"34378752\"] \n  12 -> 15 [size =\"34378752\"]\n  13 [size=\"35381760\", alpha=\"0.13\", expect_size=\"14152704\"] \n  14 [size=\"16962560\", alpha=\"0.08\", expect_size=\"6785024\"] \n  14 -> 19 [size =\"6785024\"]\n  14 -> 20 [size =\"6785024\"]\n  15 [size=\"36904960\", alpha=\"0.20\", expect_size=\"14761984\"] \n  15 -> 18 [size =\"14761984\"]\n  15 -> 20 [size =\"14761984\"]\n  16 [size=\"61775360\", alpha=\"0.04\", expect_size=\"24710144\"] \n  16 -> 18 [size =\"24710144\"]\n  16 -> 20 [size =\"24710144\"]\n  17 [size=\"88875520\", alpha=\"0.01\", expect_size=\"35550208\"] \n  18 [size=\"116152320\", alpha=\"0.00\", expect_size=\"46460928\"] \n  19 [size=\"66181120\", alpha=\"0.02\", expect_size=\"26472448\"] \n  20 [size=\"57564160\", alpha=\"0.12\", expect_size=\"23025664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61812736\", alpha=\"0.02\", expect_size=\"30906368\"] \n  1 -> 12 [size =\"30906368\"]\n  1 -> 16 [size =\"30906368\"]\n  2 [size=\"25806848\", alpha=\"0.13\", expect_size=\"12903424\"] \n  2 -> 12 [size =\"12903424\"]\n  2 -> 14 [size =\"12903424\"]\n  3 [size=\"73627648\", alpha=\"0.08\", expect_size=\"36813824\"] \n  3 -> 13 [size =\"36813824\"]\n  3 -> 16 [size =\"36813824\"]\n  3 -> 18 [size =\"36813824\"]\n  3 -> 19 [size =\"36813824\"]\n  4 [size=\"15616000\", alpha=\"0.07\", expect_size=\"7808000\"] \n  4 -> 11 [size =\"7808000\"]\n  4 -> 12 [size =\"7808000\"]\n  4 -> 13 [size =\"7808000\"]\n  4 -> 17 [size =\"7808000\"]\n  5 [size=\"54220800\", alpha=\"0.14\", expect_size=\"27110400\"] \n  5 -> 16 [size =\"27110400\"]\n  6 [size=\"37144576\", alpha=\"0.07\", expect_size=\"18572288\"] \n  6 -> 13 [size =\"18572288\"]\n  6 -> 14 [size =\"18572288\"]\n  6 -> 15 [size =\"18572288\"]\n  7 [size=\"98269184\", alpha=\"0.20\", expect_size=\"49134592\"] \n  7 -> 12 [size =\"49134592\"]\n  7 -> 14 [size =\"49134592\"]\n  7 -> 16 [size =\"49134592\"]\n  8 [size=\"95719424\", alpha=\"0.03\", expect_size=\"47859712\"] \n  8 -> 11 [size =\"47859712\"]\n  8 -> 14 [size =\"47859712\"]\n  8 -> 16 [size =\"47859712\"]\n  8 -> 18 [size =\"47859712\"]\n  9 [size=\"101396480\", alpha=\"0.05\", expect_size=\"50698240\"] \n  9 -> 11 [size =\"50698240\"]\n  9 -> 14 [size =\"50698240\"]\n  9 -> 16 [size =\"50698240\"]\n  10 [size=\"13844480\", alpha=\"0.18\", expect_size=\"6922240\"] \n  10 -> 15 [size =\"6922240\"]\n  10 -> 16 [size =\"6922240\"]\n  11 [size=\"84011008\", alpha=\"0.02\", expect_size=\"42005504\"] \n  11 -> 20 [size =\"42005504\"]\n  12 [size=\"93859840\", alpha=\"0.09\", expect_size=\"46929920\"] \n  13 [size=\"62779392\", alpha=\"0.06\", expect_size=\"31389696\"] \n  14 [size=\"100827136\", alpha=\"0.05\", expect_size=\"50413568\"] \n  15 [size=\"38215680\", alpha=\"0.17\", expect_size=\"19107840\"] \n  15 -> 20 [size =\"19107840\"]\n  16 [size=\"10735616\", alpha=\"0.06\", expect_size=\"5367808\"] \n  16 -> 20 [size =\"5367808\"]\n  17 [size=\"45553664\", alpha=\"0.09\", expect_size=\"22776832\"] \n  18 [size=\"44417024\", alpha=\"0.16\", expect_size=\"22208512\"] \n  19 [size=\"60450816\", alpha=\"0.09\", expect_size=\"30225408\"] \n  20 [size=\"81876992\", alpha=\"0.20\", expect_size=\"40938496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129955840\", alpha=\"0.10\", expect_size=\"51982336\"] \n  1 -> 2 [size =\"51982336\"]\n  2 [size=\"37045760\", alpha=\"0.15\", expect_size=\"14818304\"] \n  2 -> 3 [size =\"14818304\"]\n  3 [size=\"19857920\", alpha=\"0.06\", expect_size=\"7943168\"] \n  3 -> 4 [size =\"7943168\"]\n  4 [size=\"50462720\", alpha=\"0.08\", expect_size=\"20185088\"] \n  4 -> 5 [size =\"20185088\"]\n  5 [size=\"50531840\", alpha=\"0.01\", expect_size=\"20212736\"] \n  5 -> 6 [size =\"20212736\"]\n  6 [size=\"114903040\", alpha=\"0.19\", expect_size=\"45961216\"] \n  6 -> 7 [size =\"45961216\"]\n  7 [size=\"49244160\", alpha=\"0.15\", expect_size=\"19697664\"] \n  7 -> 8 [size =\"19697664\"]\n  8 [size=\"89520640\", alpha=\"0.12\", expect_size=\"35808256\"] \n  8 -> 9 [size =\"35808256\"]\n  9 [size=\"94341120\", alpha=\"0.10\", expect_size=\"37736448\"] \n  9 -> 10 [size =\"37736448\"]\n  10 [size=\"89907200\", alpha=\"0.02\", expect_size=\"35962880\"] \n  10 -> 11 [size =\"35962880\"]\n  11 [size=\"60495360\", alpha=\"0.13\", expect_size=\"24198144\"] \n  11 -> 12 [size =\"24198144\"]\n  12 [size=\"120962560\", alpha=\"0.09\", expect_size=\"48385024\"] \n  12 -> 13 [size =\"48385024\"]\n  13 [size=\"93608960\", alpha=\"0.16\", expect_size=\"37443584\"] \n  13 -> 14 [size =\"37443584\"]\n  14 [size=\"13383680\", alpha=\"0.10\", expect_size=\"5353472\"] \n  14 -> 15 [size =\"5353472\"]\n  15 [size=\"60047360\", alpha=\"0.11\", expect_size=\"24018944\"] \n  15 -> 16 [size =\"24018944\"]\n  16 [size=\"68395520\", alpha=\"0.03\", expect_size=\"27358208\"] \n  16 -> 17 [size =\"27358208\"]\n  17 [size=\"61841920\", alpha=\"0.11\", expect_size=\"24736768\"] \n  17 -> 18 [size =\"24736768\"]\n  18 [size=\"34703360\", alpha=\"0.02\", expect_size=\"13881344\"] \n  18 -> 19 [size =\"13881344\"]\n  19 [size=\"106828800\", alpha=\"0.10\", expect_size=\"42731520\"] \n  19 -> 20 [size =\"42731520\"]\n  20 [size=\"44958720\", alpha=\"0.12\", expect_size=\"17983488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88419840\", alpha=\"0.18\", expect_size=\"35367936\"] \n  1 -> 2 [size =\"35367936\"]\n  2 [size=\"125038080\", alpha=\"0.05\", expect_size=\"50015232\"] \n  2 -> 3 [size =\"50015232\"]\n  3 [size=\"128842240\", alpha=\"0.10\", expect_size=\"51536896\"] \n  3 -> 4 [size =\"51536896\"]\n  4 [size=\"66129920\", alpha=\"0.06\", expect_size=\"26451968\"] \n  4 -> 5 [size =\"26451968\"]\n  5 [size=\"104788480\", alpha=\"0.12\", expect_size=\"41915392\"] \n  5 -> 6 [size =\"41915392\"]\n  6 [size=\"35773440\", alpha=\"0.14\", expect_size=\"14309376\"] \n  6 -> 7 [size =\"14309376\"]\n  7 [size=\"39900160\", alpha=\"0.14\", expect_size=\"15960064\"] \n  7 -> 8 [size =\"15960064\"]\n  8 [size=\"23659520\", alpha=\"0.07\", expect_size=\"9463808\"] \n  8 -> 9 [size =\"9463808\"]\n  9 [size=\"40983040\", alpha=\"0.03\", expect_size=\"16393216\"] \n  9 -> 10 [size =\"16393216\"]\n  10 [size=\"79761920\", alpha=\"0.04\", expect_size=\"31904768\"] \n  10 -> 11 [size =\"31904768\"]\n  11 [size=\"30010880\", alpha=\"0.06\", expect_size=\"12004352\"] \n  11 -> 12 [size =\"12004352\"]\n  12 [size=\"20943360\", alpha=\"0.12\", expect_size=\"8377344\"] \n  12 -> 13 [size =\"8377344\"]\n  13 [size=\"48417280\", alpha=\"0.17\", expect_size=\"19366912\"] \n  13 -> 14 [size =\"19366912\"]\n  14 [size=\"108884480\", alpha=\"0.06\", expect_size=\"43553792\"] \n  14 -> 15 [size =\"43553792\"]\n  15 [size=\"27100160\", alpha=\"0.04\", expect_size=\"10840064\"] \n  15 -> 16 [size =\"10840064\"]\n  16 [size=\"100736000\", alpha=\"0.12\", expect_size=\"40294400\"] \n  16 -> 17 [size =\"40294400\"]\n  17 [size=\"67988480\", alpha=\"0.17\", expect_size=\"27195392\"] \n  17 -> 18 [size =\"27195392\"]\n  18 [size=\"34982400\", alpha=\"0.14\", expect_size=\"13992960\"] \n  18 -> 19 [size =\"13992960\"]\n  19 [size=\"78371840\", alpha=\"0.06\", expect_size=\"31348736\"] \n  19 -> 20 [size =\"31348736\"]\n  20 [size=\"96696320\", alpha=\"0.13\", expect_size=\"38678528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64436907\", alpha=\"0.17\", expect_size=\"19331072\"] \n  1 -> 2 [size =\"19331072\"]\n  2 [size=\"50363733\", alpha=\"0.14\", expect_size=\"15109120\"] \n  2 -> 3 [size =\"15109120\"]\n  3 [size=\"83776853\", alpha=\"0.04\", expect_size=\"25133056\"] \n  3 -> 4 [size =\"25133056\"]\n  4 [size=\"112052907\", alpha=\"0.04\", expect_size=\"33615872\"] \n  4 -> 5 [size =\"33615872\"]\n  5 [size=\"136823467\", alpha=\"0.04\", expect_size=\"41047040\"] \n  5 -> 6 [size =\"41047040\"]\n  6 [size=\"24688640\", alpha=\"0.00\", expect_size=\"7406592\"] \n  6 -> 7 [size =\"7406592\"]\n  7 [size=\"45062827\", alpha=\"0.04\", expect_size=\"13518848\"] \n  7 -> 8 [size =\"13518848\"]\n  8 [size=\"27170133\", alpha=\"0.13\", expect_size=\"8151040\"] \n  8 -> 9 [size =\"8151040\"]\n  9 [size=\"146070187\", alpha=\"0.17\", expect_size=\"43821056\"] \n  9 -> 10 [size =\"43821056\"]\n  10 [size=\"98600960\", alpha=\"0.06\", expect_size=\"29580288\"] \n  10 -> 11 [size =\"29580288\"]\n  11 [size=\"162925227\", alpha=\"0.00\", expect_size=\"48877568\"] \n  11 -> 12 [size =\"48877568\"]\n  12 [size=\"137250133\", alpha=\"0.16\", expect_size=\"41175040\"] \n  12 -> 13 [size =\"41175040\"]\n  13 [size=\"90170027\", alpha=\"0.18\", expect_size=\"27051008\"] \n  13 -> 14 [size =\"27051008\"]\n  14 [size=\"122924373\", alpha=\"0.03\", expect_size=\"36877312\"] \n  14 -> 15 [size =\"36877312\"]\n  15 [size=\"157678933\", alpha=\"0.18\", expect_size=\"47303680\"] \n  15 -> 16 [size =\"47303680\"]\n  16 [size=\"28856320\", alpha=\"0.02\", expect_size=\"8656896\"] \n  16 -> 17 [size =\"8656896\"]\n  17 [size=\"29515093\", alpha=\"0.16\", expect_size=\"8854528\"] \n  17 -> 18 [size =\"8854528\"]\n  18 [size=\"57074347\", alpha=\"0.08\", expect_size=\"17122304\"] \n  18 -> 19 [size =\"17122304\"]\n  19 [size=\"156238507\", alpha=\"0.15\", expect_size=\"46871552\"] \n  19 -> 20 [size =\"46871552\"]\n  20 [size=\"131665920\", alpha=\"0.08\", expect_size=\"39499776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19695616\", alpha=\"0.07\", expect_size=\"9847808\"] \n  1 -> 10 [size =\"9847808\"]\n  1 -> 13 [size =\"9847808\"]\n  1 -> 16 [size =\"9847808\"]\n  2 [size=\"61640704\", alpha=\"0.02\", expect_size=\"30820352\"] \n  2 -> 10 [size =\"30820352\"]\n  2 -> 12 [size =\"30820352\"]\n  2 -> 13 [size =\"30820352\"]\n  2 -> 16 [size =\"30820352\"]\n  3 [size=\"89425920\", alpha=\"0.14\", expect_size=\"44712960\"] \n  3 -> 14 [size =\"44712960\"]\n  3 -> 16 [size =\"44712960\"]\n  4 [size=\"81559552\", alpha=\"0.15\", expect_size=\"40779776\"] \n  4 -> 10 [size =\"40779776\"]\n  4 -> 11 [size =\"40779776\"]\n  4 -> 13 [size =\"40779776\"]\n  4 -> 15 [size =\"40779776\"]\n  5 [size=\"22450176\", alpha=\"0.06\", expect_size=\"11225088\"] \n  5 -> 10 [size =\"11225088\"]\n  5 -> 11 [size =\"11225088\"]\n  5 -> 13 [size =\"11225088\"]\n  5 -> 14 [size =\"11225088\"]\n  5 -> 15 [size =\"11225088\"]\n  6 [size=\"39974912\", alpha=\"0.09\", expect_size=\"19987456\"] \n  6 -> 10 [size =\"19987456\"]\n  6 -> 11 [size =\"19987456\"]\n  6 -> 12 [size =\"19987456\"]\n  6 -> 13 [size =\"19987456\"]\n  6 -> 15 [size =\"19987456\"]\n  6 -> 16 [size =\"19987456\"]\n  7 [size=\"43120640\", alpha=\"0.19\", expect_size=\"21560320\"] \n  7 -> 10 [size =\"21560320\"]\n  7 -> 13 [size =\"21560320\"]\n  7 -> 14 [size =\"21560320\"]\n  7 -> 16 [size =\"21560320\"]\n  8 [size=\"78315520\", alpha=\"0.17\", expect_size=\"39157760\"] \n  8 -> 10 [size =\"39157760\"]\n  8 -> 13 [size =\"39157760\"]\n  8 -> 16 [size =\"39157760\"]\n  9 [size=\"10725376\", alpha=\"0.04\", expect_size=\"5362688\"] \n  9 -> 10 [size =\"5362688\"]\n  9 -> 13 [size =\"5362688\"]\n  9 -> 15 [size =\"5362688\"]\n  10 [size=\"98691072\", alpha=\"0.14\", expect_size=\"49345536\"] \n  10 -> 17 [size =\"49345536\"]\n  10 -> 20 [size =\"49345536\"]\n  11 [size=\"66541568\", alpha=\"0.17\", expect_size=\"33270784\"] \n  11 -> 17 [size =\"33270784\"]\n  11 -> 19 [size =\"33270784\"]\n  12 [size=\"100952064\", alpha=\"0.11\", expect_size=\"50476032\"] \n  12 -> 17 [size =\"50476032\"]\n  12 -> 18 [size =\"50476032\"]\n  12 -> 19 [size =\"50476032\"]\n  13 [size=\"16693248\", alpha=\"0.09\", expect_size=\"8346624\"] \n  13 -> 17 [size =\"8346624\"]\n  13 -> 18 [size =\"8346624\"]\n  14 [size=\"81770496\", alpha=\"0.16\", expect_size=\"40885248\"] \n  14 -> 18 [size =\"40885248\"]\n  14 -> 20 [size =\"40885248\"]\n  15 [size=\"59025408\", alpha=\"0.07\", expect_size=\"29512704\"] \n  15 -> 17 [size =\"29512704\"]\n  15 -> 18 [size =\"29512704\"]\n  15 -> 20 [size =\"29512704\"]\n  16 [size=\"88338432\", alpha=\"0.12\", expect_size=\"44169216\"] \n  16 -> 17 [size =\"44169216\"]\n  16 -> 18 [size =\"44169216\"]\n  16 -> 19 [size =\"44169216\"]\n  17 [size=\"34840576\", alpha=\"0.17\", expect_size=\"17420288\"] \n  18 [size=\"29110272\", alpha=\"0.20\", expect_size=\"14555136\"] \n  19 [size=\"12765184\", alpha=\"0.17\", expect_size=\"6382592\"] \n  20 [size=\"32788480\", alpha=\"0.09\", expect_size=\"16394240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79742976\", alpha=\"0.16\", expect_size=\"39871488\"] \n  1 -> 8 [size =\"39871488\"]\n  1 -> 10 [size =\"39871488\"]\n  1 -> 11 [size =\"39871488\"]\n  1 -> 12 [size =\"39871488\"]\n  1 -> 13 [size =\"39871488\"]\n  2 [size=\"34957312\", alpha=\"0.14\", expect_size=\"17478656\"] \n  2 -> 8 [size =\"17478656\"]\n  2 -> 11 [size =\"17478656\"]\n  2 -> 13 [size =\"17478656\"]\n  3 [size=\"57669632\", alpha=\"0.10\", expect_size=\"28834816\"] \n  3 -> 9 [size =\"28834816\"]\n  4 [size=\"62263296\", alpha=\"0.05\", expect_size=\"31131648\"] \n  4 -> 11 [size =\"31131648\"]\n  5 [size=\"14018560\", alpha=\"0.17\", expect_size=\"7009280\"] \n  5 -> 10 [size =\"7009280\"]\n  6 [size=\"75464704\", alpha=\"0.11\", expect_size=\"37732352\"] \n  6 -> 9 [size =\"37732352\"]\n  6 -> 10 [size =\"37732352\"]\n  6 -> 11 [size =\"37732352\"]\n  6 -> 13 [size =\"37732352\"]\n  7 [size=\"52172800\", alpha=\"0.13\", expect_size=\"26086400\"] \n  7 -> 11 [size =\"26086400\"]\n  7 -> 13 [size =\"26086400\"]\n  8 [size=\"25847808\", alpha=\"0.15\", expect_size=\"12923904\"] \n  8 -> 14 [size =\"12923904\"]\n  8 -> 18 [size =\"12923904\"]\n  9 [size=\"93079552\", alpha=\"0.16\", expect_size=\"46539776\"] \n  9 -> 14 [size =\"46539776\"]\n  9 -> 17 [size =\"46539776\"]\n  9 -> 18 [size =\"46539776\"]\n  10 [size=\"24123392\", alpha=\"0.02\", expect_size=\"12061696\"] \n  10 -> 14 [size =\"12061696\"]\n  10 -> 19 [size =\"12061696\"]\n  11 [size=\"95846400\", alpha=\"0.03\", expect_size=\"47923200\"] \n  11 -> 15 [size =\"47923200\"]\n  11 -> 16 [size =\"47923200\"]\n  11 -> 20 [size =\"47923200\"]\n  12 [size=\"77041664\", alpha=\"0.19\", expect_size=\"38520832\"] \n  12 -> 17 [size =\"38520832\"]\n  12 -> 18 [size =\"38520832\"]\n  12 -> 20 [size =\"38520832\"]\n  13 [size=\"49821696\", alpha=\"0.07\", expect_size=\"24910848\"] \n  13 -> 18 [size =\"24910848\"]\n  14 [size=\"97536000\", alpha=\"0.06\", expect_size=\"48768000\"] \n  15 [size=\"25155584\", alpha=\"0.04\", expect_size=\"12577792\"] \n  16 [size=\"103327744\", alpha=\"0.15\", expect_size=\"51663872\"] \n  17 [size=\"62281728\", alpha=\"0.08\", expect_size=\"31140864\"] \n  18 [size=\"30810112\", alpha=\"0.20\", expect_size=\"15405056\"] \n  19 [size=\"99579904\", alpha=\"0.11\", expect_size=\"49789952\"] \n  20 [size=\"82509824\", alpha=\"0.10\", expect_size=\"41254912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101117440\", alpha=\"0.08\", expect_size=\"40446976\"] \n  1 -> 5 [size =\"40446976\"]\n  2 [size=\"110638080\", alpha=\"0.19\", expect_size=\"44255232\"] \n  2 -> 3 [size =\"44255232\"]\n  2 -> 4 [size =\"44255232\"]\n  2 -> 5 [size =\"44255232\"]\n  2 -> 6 [size =\"44255232\"]\n  3 [size=\"52526080\", alpha=\"0.11\", expect_size=\"21010432\"] \n  3 -> 10 [size =\"21010432\"]\n  4 [size=\"39249920\", alpha=\"0.16\", expect_size=\"15699968\"] \n  4 -> 7 [size =\"15699968\"]\n  4 -> 8 [size =\"15699968\"]\n  4 -> 9 [size =\"15699968\"]\n  4 -> 11 [size =\"15699968\"]\n  5 [size=\"114897920\", alpha=\"0.17\", expect_size=\"45959168\"] \n  5 -> 10 [size =\"45959168\"]\n  5 -> 11 [size =\"45959168\"]\n  6 [size=\"97633280\", alpha=\"0.11\", expect_size=\"39053312\"] \n  6 -> 11 [size =\"39053312\"]\n  7 [size=\"121190400\", alpha=\"0.11\", expect_size=\"48476160\"] \n  7 -> 14 [size =\"48476160\"]\n  7 -> 15 [size =\"48476160\"]\n  7 -> 16 [size =\"48476160\"]\n  7 -> 16 [size =\"48476160\"]\n  8 [size=\"31569920\", alpha=\"0.05\", expect_size=\"12627968\"] \n  8 -> 12 [size =\"12627968\"]\n  8 -> 14 [size =\"12627968\"]\n  9 [size=\"66897920\", alpha=\"0.08\", expect_size=\"26759168\"] \n  9 -> 13 [size =\"26759168\"]\n  9 -> 14 [size =\"26759168\"]\n  9 -> 16 [size =\"26759168\"]\n  10 [size=\"23290880\", alpha=\"0.06\", expect_size=\"9316352\"] \n  11 [size=\"127649280\", alpha=\"0.05\", expect_size=\"51059712\"] \n  11 -> 13 [size =\"51059712\"]\n  11 -> 14 [size =\"51059712\"]\n  11 -> 15 [size =\"51059712\"]\n  11 -> 16 [size =\"51059712\"]\n  12 [size=\"55928320\", alpha=\"0.09\", expect_size=\"22371328\"] \n  12 -> 18 [size =\"22371328\"]\n  13 [size=\"48158720\", alpha=\"0.06\", expect_size=\"19263488\"] \n  13 -> 17 [size =\"19263488\"]\n  14 [size=\"113781760\", alpha=\"0.05\", expect_size=\"45512704\"] \n  14 -> 19 [size =\"45512704\"]\n  14 -> 20 [size =\"45512704\"]\n  15 [size=\"87352320\", alpha=\"0.07\", expect_size=\"34940928\"] \n  16 [size=\"71590400\", alpha=\"0.18\", expect_size=\"28636160\"] \n  17 [size=\"17088000\", alpha=\"0.11\", expect_size=\"6835200\"] \n  18 [size=\"82972160\", alpha=\"0.16\", expect_size=\"33188864\"] \n  19 [size=\"111600640\", alpha=\"0.14\", expect_size=\"44640256\"] \n  20 [size=\"41088000\", alpha=\"0.09\", expect_size=\"16435200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56302080\", alpha=\"0.19\", expect_size=\"22520832\"] \n  1 -> 2 [size =\"22520832\"]\n  2 [size=\"32517120\", alpha=\"0.10\", expect_size=\"13006848\"] \n  2 -> 3 [size =\"13006848\"]\n  3 [size=\"81940480\", alpha=\"0.19\", expect_size=\"32776192\"] \n  3 -> 4 [size =\"32776192\"]\n  4 [size=\"83028480\", alpha=\"0.06\", expect_size=\"33211392\"] \n  4 -> 5 [size =\"33211392\"]\n  5 [size=\"19133440\", alpha=\"0.07\", expect_size=\"7653376\"] \n  5 -> 6 [size =\"7653376\"]\n  6 [size=\"108188160\", alpha=\"0.01\", expect_size=\"43275264\"] \n  6 -> 7 [size =\"43275264\"]\n  7 [size=\"47383040\", alpha=\"0.08\", expect_size=\"18953216\"] \n  7 -> 8 [size =\"18953216\"]\n  8 [size=\"101168640\", alpha=\"0.11\", expect_size=\"40467456\"] \n  8 -> 9 [size =\"40467456\"]\n  9 [size=\"61427200\", alpha=\"0.08\", expect_size=\"24570880\"] \n  9 -> 10 [size =\"24570880\"]\n  10 [size=\"19302400\", alpha=\"0.08\", expect_size=\"7720960\"] \n  10 -> 11 [size =\"7720960\"]\n  11 [size=\"101201920\", alpha=\"0.01\", expect_size=\"40480768\"] \n  11 -> 12 [size =\"40480768\"]\n  12 [size=\"95106560\", alpha=\"0.03\", expect_size=\"38042624\"] \n  12 -> 13 [size =\"38042624\"]\n  13 [size=\"38768640\", alpha=\"0.17\", expect_size=\"15507456\"] \n  13 -> 14 [size =\"15507456\"]\n  14 [size=\"30935040\", alpha=\"0.09\", expect_size=\"12374016\"] \n  14 -> 15 [size =\"12374016\"]\n  15 [size=\"67563520\", alpha=\"0.11\", expect_size=\"27025408\"] \n  15 -> 16 [size =\"27025408\"]\n  16 [size=\"106257920\", alpha=\"0.17\", expect_size=\"42503168\"] \n  16 -> 17 [size =\"42503168\"]\n  17 [size=\"110433280\", alpha=\"0.02\", expect_size=\"44173312\"] \n  17 -> 18 [size =\"44173312\"]\n  18 [size=\"37178880\", alpha=\"0.10\", expect_size=\"14871552\"] \n  18 -> 19 [size =\"14871552\"]\n  19 [size=\"100764160\", alpha=\"0.02\", expect_size=\"40305664\"] \n  19 -> 20 [size =\"40305664\"]\n  20 [size=\"32650240\", alpha=\"0.12\", expect_size=\"13060096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75589632\", alpha=\"0.04\", expect_size=\"37794816\"] \n  1 -> 7 [size =\"37794816\"]\n  1 -> 8 [size =\"37794816\"]\n  1 -> 9 [size =\"37794816\"]\n  1 -> 10 [size =\"37794816\"]\n  1 -> 11 [size =\"37794816\"]\n  1 -> 12 [size =\"37794816\"]\n  2 [size=\"18604032\", alpha=\"0.18\", expect_size=\"9302016\"] \n  2 -> 7 [size =\"9302016\"]\n  2 -> 10 [size =\"9302016\"]\n  3 [size=\"37091328\", alpha=\"0.06\", expect_size=\"18545664\"] \n  3 -> 11 [size =\"18545664\"]\n  4 [size=\"94625792\", alpha=\"0.10\", expect_size=\"47312896\"] \n  4 -> 7 [size =\"47312896\"]\n  4 -> 8 [size =\"47312896\"]\n  4 -> 9 [size =\"47312896\"]\n  4 -> 12 [size =\"47312896\"]\n  5 [size=\"67069952\", alpha=\"0.19\", expect_size=\"33534976\"] \n  5 -> 6 [size =\"33534976\"]\n  5 -> 9 [size =\"33534976\"]\n  5 -> 11 [size =\"33534976\"]\n  5 -> 12 [size =\"33534976\"]\n  6 [size=\"39665664\", alpha=\"0.13\", expect_size=\"19832832\"] \n  6 -> 13 [size =\"19832832\"]\n  6 -> 15 [size =\"19832832\"]\n  6 -> 16 [size =\"19832832\"]\n  6 -> 18 [size =\"19832832\"]\n  7 [size=\"43003904\", alpha=\"0.19\", expect_size=\"21501952\"] \n  7 -> 18 [size =\"21501952\"]\n  7 -> 20 [size =\"21501952\"]\n  8 [size=\"85491712\", alpha=\"0.03\", expect_size=\"42745856\"] \n  8 -> 13 [size =\"42745856\"]\n  8 -> 14 [size =\"42745856\"]\n  8 -> 15 [size =\"42745856\"]\n  8 -> 17 [size =\"42745856\"]\n  9 [size=\"10719232\", alpha=\"0.06\", expect_size=\"5359616\"] \n  9 -> 15 [size =\"5359616\"]\n  9 -> 17 [size =\"5359616\"]\n  10 [size=\"16560128\", alpha=\"0.13\", expect_size=\"8280064\"] \n  10 -> 18 [size =\"8280064\"]\n  11 [size=\"102406144\", alpha=\"0.09\", expect_size=\"51203072\"] \n  11 -> 15 [size =\"51203072\"]\n  11 -> 19 [size =\"51203072\"]\n  12 [size=\"28022784\", alpha=\"0.17\", expect_size=\"14011392\"] \n  12 -> 16 [size =\"14011392\"]\n  12 -> 18 [size =\"14011392\"]\n  13 [size=\"18268160\", alpha=\"0.18\", expect_size=\"9134080\"] \n  14 [size=\"47659008\", alpha=\"0.08\", expect_size=\"23829504\"] \n  15 [size=\"92827648\", alpha=\"0.01\", expect_size=\"46413824\"] \n  16 [size=\"88541184\", alpha=\"0.09\", expect_size=\"44270592\"] \n  17 [size=\"55777280\", alpha=\"0.04\", expect_size=\"27888640\"] \n  18 [size=\"50466816\", alpha=\"0.06\", expect_size=\"25233408\"] \n  19 [size=\"63266816\", alpha=\"0.07\", expect_size=\"31633408\"] \n  20 [size=\"89960448\", alpha=\"0.08\", expect_size=\"44980224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41713664\", alpha=\"0.02\", expect_size=\"20856832\"] \n  1 -> 2 [size =\"20856832\"]\n  2 [size=\"102248448\", alpha=\"0.12\", expect_size=\"51124224\"] \n  2 -> 3 [size =\"51124224\"]\n  3 [size=\"86059008\", alpha=\"0.03\", expect_size=\"43029504\"] \n  3 -> 4 [size =\"43029504\"]\n  4 [size=\"51576832\", alpha=\"0.03\", expect_size=\"25788416\"] \n  4 -> 5 [size =\"25788416\"]\n  5 [size=\"47046656\", alpha=\"0.15\", expect_size=\"23523328\"] \n  5 -> 6 [size =\"23523328\"]\n  6 [size=\"32552960\", alpha=\"0.04\", expect_size=\"16276480\"] \n  6 -> 7 [size =\"16276480\"]\n  7 [size=\"60364800\", alpha=\"0.12\", expect_size=\"30182400\"] \n  7 -> 8 [size =\"30182400\"]\n  8 [size=\"31164416\", alpha=\"0.13\", expect_size=\"15582208\"] \n  8 -> 9 [size =\"15582208\"]\n  9 [size=\"98893824\", alpha=\"0.08\", expect_size=\"49446912\"] \n  9 -> 10 [size =\"49446912\"]\n  10 [size=\"95180800\", alpha=\"0.18\", expect_size=\"47590400\"] \n  10 -> 11 [size =\"47590400\"]\n  11 [size=\"76081152\", alpha=\"0.05\", expect_size=\"38040576\"] \n  11 -> 12 [size =\"38040576\"]\n  12 [size=\"84334592\", alpha=\"0.12\", expect_size=\"42167296\"] \n  12 -> 13 [size =\"42167296\"]\n  13 [size=\"47196160\", alpha=\"0.02\", expect_size=\"23598080\"] \n  13 -> 14 [size =\"23598080\"]\n  14 [size=\"61599744\", alpha=\"0.01\", expect_size=\"30799872\"] \n  14 -> 15 [size =\"30799872\"]\n  15 [size=\"77824000\", alpha=\"0.06\", expect_size=\"38912000\"] \n  15 -> 16 [size =\"38912000\"]\n  16 [size=\"56260608\", alpha=\"0.14\", expect_size=\"28130304\"] \n  16 -> 17 [size =\"28130304\"]\n  17 [size=\"72871936\", alpha=\"0.14\", expect_size=\"36435968\"] \n  17 -> 18 [size =\"36435968\"]\n  18 [size=\"36440064\", alpha=\"0.08\", expect_size=\"18220032\"] \n  18 -> 19 [size =\"18220032\"]\n  19 [size=\"98488320\", alpha=\"0.01\", expect_size=\"49244160\"] \n  19 -> 20 [size =\"49244160\"]\n  20 [size=\"42598400\", alpha=\"0.18\", expect_size=\"21299200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149879467\", alpha=\"0.19\", expect_size=\"44963840\"] \n  1 -> 11 [size =\"44963840\"]\n  2 [size=\"111155200\", alpha=\"0.08\", expect_size=\"33346560\"] \n  2 -> 10 [size =\"33346560\"]\n  2 -> 11 [size =\"33346560\"]\n  2 -> 13 [size =\"33346560\"]\n  3 [size=\"24876373\", alpha=\"0.07\", expect_size=\"7462912\"] \n  3 -> 9 [size =\"7462912\"]\n  3 -> 10 [size =\"7462912\"]\n  3 -> 11 [size =\"7462912\"]\n  4 [size=\"32645120\", alpha=\"0.10\", expect_size=\"9793536\"] \n  4 -> 10 [size =\"9793536\"]\n  4 -> 11 [size =\"9793536\"]\n  4 -> 12 [size =\"9793536\"]\n  4 -> 14 [size =\"9793536\"]\n  4 -> 15 [size =\"9793536\"]\n  5 [size=\"149121707\", alpha=\"0.15\", expect_size=\"44736512\"] \n  5 -> 11 [size =\"44736512\"]\n  5 -> 12 [size =\"44736512\"]\n  5 -> 15 [size =\"44736512\"]\n  6 [size=\"95982933\", alpha=\"0.05\", expect_size=\"28794880\"] \n  6 -> 12 [size =\"28794880\"]\n  6 -> 14 [size =\"28794880\"]\n  6 -> 16 [size =\"28794880\"]\n  7 [size=\"31092053\", alpha=\"0.06\", expect_size=\"9327616\"] \n  7 -> 10 [size =\"9327616\"]\n  7 -> 12 [size =\"9327616\"]\n  8 [size=\"107581440\", alpha=\"0.11\", expect_size=\"32274432\"] \n  8 -> 11 [size =\"32274432\"]\n  8 -> 12 [size =\"32274432\"]\n  9 [size=\"138141013\", alpha=\"0.05\", expect_size=\"41442304\"] \n  9 -> 17 [size =\"41442304\"]\n  9 -> 18 [size =\"41442304\"]\n  10 [size=\"42222933\", alpha=\"0.19\", expect_size=\"12666880\"] \n  10 -> 18 [size =\"12666880\"]\n  11 [size=\"17776640\", alpha=\"0.00\", expect_size=\"5332992\"] \n  12 [size=\"164304213\", alpha=\"0.13\", expect_size=\"49291264\"] \n  12 -> 17 [size =\"49291264\"]\n  12 -> 18 [size =\"49291264\"]\n  12 -> 19 [size =\"49291264\"]\n  12 -> 20 [size =\"49291264\"]\n  13 [size=\"67379200\", alpha=\"0.07\", expect_size=\"20213760\"] \n  13 -> 18 [size =\"20213760\"]\n  14 [size=\"125808640\", alpha=\"0.17\", expect_size=\"37742592\"] \n  14 -> 17 [size =\"37742592\"]\n  14 -> 18 [size =\"37742592\"]\n  15 [size=\"45902507\", alpha=\"0.15\", expect_size=\"13770752\"] \n  15 -> 17 [size =\"13770752\"]\n  16 [size=\"166891520\", alpha=\"0.13\", expect_size=\"50067456\"] \n  16 -> 17 [size =\"50067456\"]\n  16 -> 19 [size =\"50067456\"]\n  17 [size=\"49128107\", alpha=\"0.08\", expect_size=\"14738432\"] \n  18 [size=\"99188053\", alpha=\"0.17\", expect_size=\"29756416\"] \n  19 [size=\"27320320\", alpha=\"0.14\", expect_size=\"8196096\"] \n  20 [size=\"68123307\", alpha=\"0.05\", expect_size=\"20436992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170663253\", alpha=\"0.15\", expect_size=\"51198976\"] \n  1 -> 2 [size =\"51198976\"]\n  2 [size=\"142742187\", alpha=\"0.15\", expect_size=\"42822656\"] \n  2 -> 3 [size =\"42822656\"]\n  3 [size=\"158167040\", alpha=\"0.13\", expect_size=\"47450112\"] \n  3 -> 4 [size =\"47450112\"]\n  4 [size=\"105386667\", alpha=\"0.19\", expect_size=\"31616000\"] \n  4 -> 5 [size =\"31616000\"]\n  5 [size=\"168618667\", alpha=\"0.11\", expect_size=\"50585600\"] \n  5 -> 6 [size =\"50585600\"]\n  5 -> 7 [size =\"50585600\"]\n  6 [size=\"78093653\", alpha=\"0.19\", expect_size=\"23428096\"] \n  6 -> 8 [size =\"23428096\"]\n  7 [size=\"82158933\", alpha=\"0.09\", expect_size=\"24647680\"] \n  7 -> 9 [size =\"24647680\"]\n  8 [size=\"146561707\", alpha=\"0.05\", expect_size=\"43968512\"] \n  9 [size=\"28197547\", alpha=\"0.09\", expect_size=\"8459264\"] \n  9 -> 10 [size =\"8459264\"]\n  10 [size=\"142052693\", alpha=\"0.07\", expect_size=\"42615808\"] \n  10 -> 11 [size =\"42615808\"]\n  10 -> 12 [size =\"42615808\"]\n  11 [size=\"160361813\", alpha=\"0.02\", expect_size=\"48108544\"] \n  12 [size=\"118312960\", alpha=\"0.10\", expect_size=\"35493888\"] \n  12 -> 13 [size =\"35493888\"]\n  13 [size=\"76165120\", alpha=\"0.14\", expect_size=\"22849536\"] \n  13 -> 14 [size =\"22849536\"]\n  13 -> 15 [size =\"22849536\"]\n  14 [size=\"18776747\", alpha=\"0.15\", expect_size=\"5633024\"] \n  14 -> 17 [size =\"5633024\"]\n  15 [size=\"168652800\", alpha=\"0.18\", expect_size=\"50595840\"] \n  15 -> 16 [size =\"50595840\"]\n  16 [size=\"95720107\", alpha=\"0.06\", expect_size=\"28716032\"] \n  16 -> 18 [size =\"28716032\"]\n  16 -> 19 [size =\"28716032\"]\n  17 [size=\"87746560\", alpha=\"0.02\", expect_size=\"26323968\"] \n  18 [size=\"155613867\", alpha=\"0.16\", expect_size=\"46684160\"] \n  19 [size=\"37526187\", alpha=\"0.11\", expect_size=\"11257856\"] \n  19 -> 20 [size =\"11257856\"]\n  20 [size=\"110766080\", alpha=\"0.18\", expect_size=\"33229824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17072640\", alpha=\"0.11\", expect_size=\"6829056\"] \n  1 -> 2 [size =\"6829056\"]\n  2 [size=\"106795520\", alpha=\"0.08\", expect_size=\"42718208\"] \n  2 -> 3 [size =\"42718208\"]\n  3 [size=\"115950080\", alpha=\"0.14\", expect_size=\"46380032\"] \n  3 -> 4 [size =\"46380032\"]\n  4 [size=\"13381120\", alpha=\"0.17\", expect_size=\"5352448\"] \n  4 -> 5 [size =\"5352448\"]\n  5 [size=\"54602240\", alpha=\"0.09\", expect_size=\"21840896\"] \n  5 -> 6 [size =\"21840896\"]\n  6 [size=\"86970880\", alpha=\"0.10\", expect_size=\"34788352\"] \n  6 -> 7 [size =\"34788352\"]\n  7 [size=\"67353600\", alpha=\"0.08\", expect_size=\"26941440\"] \n  7 -> 8 [size =\"26941440\"]\n  8 [size=\"95454720\", alpha=\"0.11\", expect_size=\"38181888\"] \n  8 -> 9 [size =\"38181888\"]\n  9 [size=\"120752640\", alpha=\"0.15\", expect_size=\"48301056\"] \n  9 -> 10 [size =\"48301056\"]\n  10 [size=\"13324800\", alpha=\"0.00\", expect_size=\"5329920\"] \n  10 -> 11 [size =\"5329920\"]\n  11 [size=\"18979840\", alpha=\"0.16\", expect_size=\"7591936\"] \n  11 -> 12 [size =\"7591936\"]\n  12 [size=\"81684480\", alpha=\"0.06\", expect_size=\"32673792\"] \n  12 -> 13 [size =\"32673792\"]\n  13 [size=\"128947200\", alpha=\"0.17\", expect_size=\"51578880\"] \n  13 -> 14 [size =\"51578880\"]\n  14 [size=\"94571520\", alpha=\"0.09\", expect_size=\"37828608\"] \n  14 -> 15 [size =\"37828608\"]\n  15 [size=\"75238400\", alpha=\"0.12\", expect_size=\"30095360\"] \n  15 -> 16 [size =\"30095360\"]\n  16 [size=\"129018880\", alpha=\"0.12\", expect_size=\"51607552\"] \n  16 -> 17 [size =\"51607552\"]\n  17 [size=\"69173760\", alpha=\"0.03\", expect_size=\"27669504\"] \n  17 -> 18 [size =\"27669504\"]\n  18 [size=\"113415680\", alpha=\"0.15\", expect_size=\"45366272\"] \n  18 -> 19 [size =\"45366272\"]\n  19 [size=\"63009280\", alpha=\"0.16\", expect_size=\"25203712\"] \n  19 -> 20 [size =\"25203712\"]\n  20 [size=\"32752640\", alpha=\"0.03\", expect_size=\"13101056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47530667\", alpha=\"0.19\", expect_size=\"14259200\"] \n  1 -> 2 [size =\"14259200\"]\n  2 [size=\"25620480\", alpha=\"0.17\", expect_size=\"7686144\"] \n  2 -> 3 [size =\"7686144\"]\n  3 [size=\"144831147\", alpha=\"0.18\", expect_size=\"43449344\"] \n  3 -> 4 [size =\"43449344\"]\n  4 [size=\"120012800\", alpha=\"0.05\", expect_size=\"36003840\"] \n  4 -> 5 [size =\"36003840\"]\n  5 [size=\"69642240\", alpha=\"0.10\", expect_size=\"20892672\"] \n  5 -> 6 [size =\"20892672\"]\n  6 [size=\"171458560\", alpha=\"0.06\", expect_size=\"51437568\"] \n  6 -> 7 [size =\"51437568\"]\n  7 [size=\"81715200\", alpha=\"0.17\", expect_size=\"24514560\"] \n  7 -> 8 [size =\"24514560\"]\n  8 [size=\"44564480\", alpha=\"0.07\", expect_size=\"13369344\"] \n  8 -> 9 [size =\"13369344\"]\n  9 [size=\"95798613\", alpha=\"0.19\", expect_size=\"28739584\"] \n  9 -> 10 [size =\"28739584\"]\n  10 [size=\"168393387\", alpha=\"0.02\", expect_size=\"50518016\"] \n  10 -> 11 [size =\"50518016\"]\n  11 [size=\"71212373\", alpha=\"0.00\", expect_size=\"21363712\"] \n  11 -> 12 [size =\"21363712\"]\n  12 [size=\"63262720\", alpha=\"0.09\", expect_size=\"18978816\"] \n  12 -> 13 [size =\"18978816\"]\n  13 [size=\"43376640\", alpha=\"0.08\", expect_size=\"13012992\"] \n  13 -> 14 [size =\"13012992\"]\n  14 [size=\"29272747\", alpha=\"0.06\", expect_size=\"8781824\"] \n  14 -> 15 [size =\"8781824\"]\n  15 [size=\"69748053\", alpha=\"0.06\", expect_size=\"20924416\"] \n  15 -> 16 [size =\"20924416\"]\n  16 [size=\"151630507\", alpha=\"0.02\", expect_size=\"45489152\"] \n  16 -> 17 [size =\"45489152\"]\n  17 [size=\"38898347\", alpha=\"0.12\", expect_size=\"11669504\"] \n  17 -> 18 [size =\"11669504\"]\n  18 [size=\"170953387\", alpha=\"0.19\", expect_size=\"51286016\"] \n  18 -> 19 [size =\"51286016\"]\n  19 [size=\"67997013\", alpha=\"0.05\", expect_size=\"20399104\"] \n  19 -> 20 [size =\"20399104\"]\n  20 [size=\"58907307\", alpha=\"0.08\", expect_size=\"17672192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74519040\", alpha=\"0.15\", expect_size=\"29807616\"] \n  2 [size=\"105628160\", alpha=\"0.16\", expect_size=\"42251264\"] \n  2 -> 3 [size =\"42251264\"]\n  2 -> 4 [size =\"42251264\"]\n  3 [size=\"64002560\", alpha=\"0.00\", expect_size=\"25601024\"] \n  3 -> 5 [size =\"25601024\"]\n  3 -> 7 [size =\"25601024\"]\n  3 -> 8 [size =\"25601024\"]\n  3 -> 9 [size =\"25601024\"]\n  4 [size=\"110737920\", alpha=\"0.01\", expect_size=\"44295168\"] \n  4 -> 6 [size =\"44295168\"]\n  5 [size=\"37824000\", alpha=\"0.10\", expect_size=\"15129600\"] \n  5 -> 12 [size =\"15129600\"]\n  6 [size=\"55541760\", alpha=\"0.18\", expect_size=\"22216704\"] \n  6 -> 12 [size =\"22216704\"]\n  7 [size=\"111948800\", alpha=\"0.07\", expect_size=\"44779520\"] \n  8 [size=\"84154880\", alpha=\"0.02\", expect_size=\"33661952\"] \n  9 [size=\"91822080\", alpha=\"0.17\", expect_size=\"36728832\"] \n  9 -> 10 [size =\"36728832\"]\n  9 -> 11 [size =\"36728832\"]\n  10 [size=\"21601280\", alpha=\"0.01\", expect_size=\"8640512\"] \n  10 -> 13 [size =\"8640512\"]\n  10 -> 14 [size =\"8640512\"]\n  10 -> 16 [size =\"8640512\"]\n  11 [size=\"78935040\", alpha=\"0.18\", expect_size=\"31574016\"] \n  11 -> 13 [size =\"31574016\"]\n  11 -> 14 [size =\"31574016\"]\n  12 [size=\"46725120\", alpha=\"0.01\", expect_size=\"18690048\"] \n  12 -> 15 [size =\"18690048\"]\n  13 [size=\"24271360\", alpha=\"0.20\", expect_size=\"9708544\"] \n  13 -> 17 [size =\"9708544\"]\n  13 -> 18 [size =\"9708544\"]\n  14 [size=\"26283520\", alpha=\"0.07\", expect_size=\"10513408\"] \n  14 -> 17 [size =\"10513408\"]\n  14 -> 18 [size =\"10513408\"]\n  15 [size=\"32002560\", alpha=\"0.14\", expect_size=\"12801024\"] \n  16 [size=\"93885440\", alpha=\"0.10\", expect_size=\"37554176\"] \n  17 [size=\"83788800\", alpha=\"0.04\", expect_size=\"33515520\"] \n  17 -> 19 [size =\"33515520\"]\n  17 -> 20 [size =\"33515520\"]\n  18 [size=\"123476480\", alpha=\"0.20\", expect_size=\"49390592\"] \n  19 [size=\"16284160\", alpha=\"0.15\", expect_size=\"6513664\"] \n  20 [size=\"117432320\", alpha=\"0.01\", expect_size=\"46972928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92562773\", alpha=\"0.05\", expect_size=\"27768832\"] \n  1 -> 2 [size =\"27768832\"]\n  2 [size=\"22613333\", alpha=\"0.16\", expect_size=\"6784000\"] \n  2 -> 3 [size =\"6784000\"]\n  3 [size=\"118879573\", alpha=\"0.06\", expect_size=\"35663872\"] \n  3 -> 4 [size =\"35663872\"]\n  4 [size=\"159470933\", alpha=\"0.01\", expect_size=\"47841280\"] \n  4 -> 5 [size =\"47841280\"]\n  5 [size=\"54350507\", alpha=\"0.02\", expect_size=\"16305152\"] \n  5 -> 6 [size =\"16305152\"]\n  6 [size=\"35966293\", alpha=\"0.06\", expect_size=\"10789888\"] \n  6 -> 7 [size =\"10789888\"]\n  7 [size=\"53166080\", alpha=\"0.04\", expect_size=\"15949824\"] \n  7 -> 8 [size =\"15949824\"]\n  8 [size=\"100611413\", alpha=\"0.06\", expect_size=\"30183424\"] \n  8 -> 9 [size =\"30183424\"]\n  9 [size=\"27176960\", alpha=\"0.15\", expect_size=\"8153088\"] \n  9 -> 10 [size =\"8153088\"]\n  10 [size=\"56842240\", alpha=\"0.04\", expect_size=\"17052672\"] \n  10 -> 11 [size =\"17052672\"]\n  11 [size=\"140301653\", alpha=\"0.17\", expect_size=\"42090496\"] \n  11 -> 12 [size =\"42090496\"]\n  12 [size=\"24285867\", alpha=\"0.14\", expect_size=\"7285760\"] \n  12 -> 13 [size =\"7285760\"]\n  13 [size=\"149036373\", alpha=\"0.19\", expect_size=\"44710912\"] \n  13 -> 14 [size =\"44710912\"]\n  14 [size=\"36345173\", alpha=\"0.05\", expect_size=\"10903552\"] \n  14 -> 15 [size =\"10903552\"]\n  15 [size=\"46537387\", alpha=\"0.09\", expect_size=\"13961216\"] \n  15 -> 16 [size =\"13961216\"]\n  16 [size=\"63723520\", alpha=\"0.16\", expect_size=\"19117056\"] \n  16 -> 17 [size =\"19117056\"]\n  17 [size=\"113561600\", alpha=\"0.01\", expect_size=\"34068480\"] \n  17 -> 18 [size =\"34068480\"]\n  18 [size=\"147019093\", alpha=\"0.07\", expect_size=\"44105728\"] \n  18 -> 19 [size =\"44105728\"]\n  19 [size=\"40799573\", alpha=\"0.00\", expect_size=\"12239872\"] \n  19 -> 20 [size =\"12239872\"]\n  20 [size=\"160457387\", alpha=\"0.02\", expect_size=\"48137216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124955307\", alpha=\"0.12\", expect_size=\"37486592\"] \n  1 -> 8 [size =\"37486592\"]\n  1 -> 10 [size =\"37486592\"]\n  1 -> 11 [size =\"37486592\"]\n  1 -> 13 [size =\"37486592\"]\n  1 -> 14 [size =\"37486592\"]\n  1 -> 16 [size =\"37486592\"]\n  2 [size=\"163474773\", alpha=\"0.01\", expect_size=\"49042432\"] \n  2 -> 8 [size =\"49042432\"]\n  2 -> 9 [size =\"49042432\"]\n  2 -> 10 [size =\"49042432\"]\n  2 -> 11 [size =\"49042432\"]\n  2 -> 13 [size =\"49042432\"]\n  2 -> 15 [size =\"49042432\"]\n  2 -> 16 [size =\"49042432\"]\n  3 [size=\"106141013\", alpha=\"0.06\", expect_size=\"31842304\"] \n  3 -> 11 [size =\"31842304\"]\n  3 -> 12 [size =\"31842304\"]\n  3 -> 14 [size =\"31842304\"]\n  4 [size=\"161092267\", alpha=\"0.08\", expect_size=\"48327680\"] \n  4 -> 10 [size =\"48327680\"]\n  4 -> 11 [size =\"48327680\"]\n  4 -> 15 [size =\"48327680\"]\n  5 [size=\"151797760\", alpha=\"0.19\", expect_size=\"45539328\"] \n  5 -> 10 [size =\"45539328\"]\n  5 -> 11 [size =\"45539328\"]\n  5 -> 16 [size =\"45539328\"]\n  6 [size=\"146483200\", alpha=\"0.02\", expect_size=\"43944960\"] \n  6 -> 8 [size =\"43944960\"]\n  6 -> 9 [size =\"43944960\"]\n  6 -> 10 [size =\"43944960\"]\n  6 -> 11 [size =\"43944960\"]\n  6 -> 14 [size =\"43944960\"]\n  6 -> 16 [size =\"43944960\"]\n  7 [size=\"55374507\", alpha=\"0.06\", expect_size=\"16612352\"] \n  7 -> 8 [size =\"16612352\"]\n  7 -> 10 [size =\"16612352\"]\n  7 -> 14 [size =\"16612352\"]\n  7 -> 15 [size =\"16612352\"]\n  8 [size=\"148490240\", alpha=\"0.11\", expect_size=\"44547072\"] \n  8 -> 17 [size =\"44547072\"]\n  8 -> 18 [size =\"44547072\"]\n  8 -> 19 [size =\"44547072\"]\n  9 [size=\"36280320\", alpha=\"0.11\", expect_size=\"10884096\"] \n  9 -> 19 [size =\"10884096\"]\n  10 [size=\"26538667\", alpha=\"0.04\", expect_size=\"7961600\"] \n  10 -> 17 [size =\"7961600\"]\n  10 -> 19 [size =\"7961600\"]\n  10 -> 20 [size =\"7961600\"]\n  11 [size=\"23060480\", alpha=\"0.19\", expect_size=\"6918144\"] \n  11 -> 17 [size =\"6918144\"]\n  11 -> 18 [size =\"6918144\"]\n  11 -> 19 [size =\"6918144\"]\n  11 -> 20 [size =\"6918144\"]\n  12 [size=\"114821120\", alpha=\"0.13\", expect_size=\"34446336\"] \n  12 -> 18 [size =\"34446336\"]\n  12 -> 19 [size =\"34446336\"]\n  12 -> 19 [size =\"34446336\"]\n  13 [size=\"123002880\", alpha=\"0.09\", expect_size=\"36900864\"] \n  13 -> 20 [size =\"36900864\"]\n  14 [size=\"172888747\", alpha=\"0.02\", expect_size=\"51866624\"] \n  14 -> 18 [size =\"51866624\"]\n  14 -> 19 [size =\"51866624\"]\n  14 -> 20 [size =\"51866624\"]\n  15 [size=\"77687467\", alpha=\"0.13\", expect_size=\"23306240\"] \n  15 -> 17 [size =\"23306240\"]\n  15 -> 19 [size =\"23306240\"]\n  15 -> 20 [size =\"23306240\"]\n  16 [size=\"68980053\", alpha=\"0.20\", expect_size=\"20694016\"] \n  16 -> 17 [size =\"20694016\"]\n  16 -> 19 [size =\"20694016\"]\n  16 -> 20 [size =\"20694016\"]\n  17 [size=\"88569173\", alpha=\"0.03\", expect_size=\"26570752\"] \n  18 [size=\"132212053\", alpha=\"0.08\", expect_size=\"39663616\"] \n  19 [size=\"64092160\", alpha=\"0.07\", expect_size=\"19227648\"] \n  20 [size=\"147930453\", alpha=\"0.17\", expect_size=\"44379136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54162773\", alpha=\"0.15\", expect_size=\"16248832\"] \n  1 -> 3 [size =\"16248832\"]\n  2 [size=\"81479680\", alpha=\"0.04\", expect_size=\"24443904\"] \n  2 -> 4 [size =\"24443904\"]\n  3 [size=\"122627413\", alpha=\"0.17\", expect_size=\"36788224\"] \n  3 -> 5 [size =\"36788224\"]\n  4 [size=\"105977173\", alpha=\"0.06\", expect_size=\"31793152\"] \n  4 -> 6 [size =\"31793152\"]\n  5 [size=\"48544427\", alpha=\"0.20\", expect_size=\"14563328\"] \n  5 -> 7 [size =\"14563328\"]\n  6 [size=\"117920427\", alpha=\"0.05\", expect_size=\"35376128\"] \n  7 [size=\"72625493\", alpha=\"0.17\", expect_size=\"21787648\"] \n  7 -> 8 [size =\"21787648\"]\n  7 -> 9 [size =\"21787648\"]\n  8 [size=\"123211093\", alpha=\"0.17\", expect_size=\"36963328\"] \n  8 -> 10 [size =\"36963328\"]\n  9 [size=\"146452480\", alpha=\"0.01\", expect_size=\"43935744\"] \n  10 [size=\"103963307\", alpha=\"0.13\", expect_size=\"31188992\"] \n  10 -> 11 [size =\"31188992\"]\n  11 [size=\"58593280\", alpha=\"0.01\", expect_size=\"17577984\"] \n  11 -> 12 [size =\"17577984\"]\n  11 -> 13 [size =\"17577984\"]\n  12 [size=\"22080853\", alpha=\"0.20\", expect_size=\"6624256\"] \n  12 -> 14 [size =\"6624256\"]\n  13 [size=\"53504000\", alpha=\"0.15\", expect_size=\"16051200\"] \n  14 [size=\"28436480\", alpha=\"0.05\", expect_size=\"8530944\"] \n  14 -> 15 [size =\"8530944\"]\n  14 -> 16 [size =\"8530944\"]\n  15 [size=\"72628907\", alpha=\"0.14\", expect_size=\"21788672\"] \n  15 -> 17 [size =\"21788672\"]\n  16 [size=\"72045227\", alpha=\"0.07\", expect_size=\"21613568\"] \n  17 [size=\"114756267\", alpha=\"0.19\", expect_size=\"34426880\"] \n  17 -> 18 [size =\"34426880\"]\n  17 -> 19 [size =\"34426880\"]\n  18 [size=\"91163307\", alpha=\"0.04\", expect_size=\"27348992\"] \n  18 -> 20 [size =\"27348992\"]\n  19 [size=\"70591147\", alpha=\"0.04\", expect_size=\"21177344\"] \n  20 [size=\"74557440\", alpha=\"0.11\", expect_size=\"22367232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75567104\", alpha=\"0.10\", expect_size=\"37783552\"] \n  1 -> 2 [size =\"37783552\"]\n  1 -> 3 [size =\"37783552\"]\n  2 [size=\"66119680\", alpha=\"0.18\", expect_size=\"33059840\"] \n  3 [size=\"53272576\", alpha=\"0.15\", expect_size=\"26636288\"] \n  3 -> 4 [size =\"26636288\"]\n  4 [size=\"80848896\", alpha=\"0.18\", expect_size=\"40424448\"] \n  4 -> 5 [size =\"40424448\"]\n  5 [size=\"94865408\", alpha=\"0.15\", expect_size=\"47432704\"] \n  5 -> 6 [size =\"47432704\"]\n  6 [size=\"58810368\", alpha=\"0.12\", expect_size=\"29405184\"] \n  6 -> 7 [size =\"29405184\"]\n  7 [size=\"76326912\", alpha=\"0.01\", expect_size=\"38163456\"] \n  7 -> 8 [size =\"38163456\"]\n  7 -> 9 [size =\"38163456\"]\n  8 [size=\"25659392\", alpha=\"0.19\", expect_size=\"12829696\"] \n  8 -> 10 [size =\"12829696\"]\n  9 [size=\"51101696\", alpha=\"0.06\", expect_size=\"25550848\"] \n  9 -> 10 [size =\"25550848\"]\n  9 -> 11 [size =\"25550848\"]\n  10 [size=\"94455808\", alpha=\"0.03\", expect_size=\"47227904\"] \n  10 -> 12 [size =\"47227904\"]\n  11 [size=\"33556480\", alpha=\"0.08\", expect_size=\"16778240\"] \n  12 [size=\"80168960\", alpha=\"0.18\", expect_size=\"40084480\"] \n  12 -> 13 [size =\"40084480\"]\n  13 [size=\"71172096\", alpha=\"0.07\", expect_size=\"35586048\"] \n  13 -> 14 [size =\"35586048\"]\n  14 [size=\"47663104\", alpha=\"0.00\", expect_size=\"23831552\"] \n  14 -> 15 [size =\"23831552\"]\n  15 [size=\"37548032\", alpha=\"0.07\", expect_size=\"18774016\"] \n  15 -> 16 [size =\"18774016\"]\n  15 -> 17 [size =\"18774016\"]\n  16 [size=\"16119808\", alpha=\"0.02\", expect_size=\"8059904\"] \n  16 -> 18 [size =\"8059904\"]\n  16 -> 19 [size =\"8059904\"]\n  17 [size=\"70862848\", alpha=\"0.06\", expect_size=\"35431424\"] \n  18 [size=\"76886016\", alpha=\"0.08\", expect_size=\"38443008\"] \n  18 -> 20 [size =\"38443008\"]\n  19 [size=\"71139328\", alpha=\"0.18\", expect_size=\"35569664\"] \n  19 -> 20 [size =\"35569664\"]\n  20 [size=\"98748416\", alpha=\"0.18\", expect_size=\"49374208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112353280\", alpha=\"0.08\", expect_size=\"33705984\"] \n  1 -> 12 [size =\"33705984\"]\n  2 [size=\"110779733\", alpha=\"0.18\", expect_size=\"33233920\"] \n  2 -> 10 [size =\"33233920\"]\n  2 -> 12 [size =\"33233920\"]\n  3 [size=\"107147947\", alpha=\"0.16\", expect_size=\"32144384\"] \n  3 -> 10 [size =\"32144384\"]\n  4 [size=\"67594240\", alpha=\"0.07\", expect_size=\"20278272\"] \n  4 -> 13 [size =\"20278272\"]\n  5 [size=\"34556587\", alpha=\"0.00\", expect_size=\"10366976\"] \n  5 -> 8 [size =\"10366976\"]\n  5 -> 9 [size =\"10366976\"]\n  5 -> 12 [size =\"10366976\"]\n  5 -> 13 [size =\"10366976\"]\n  6 [size=\"92248747\", alpha=\"0.01\", expect_size=\"27674624\"] \n  6 -> 10 [size =\"27674624\"]\n  6 -> 11 [size =\"27674624\"]\n  6 -> 15 [size =\"27674624\"]\n  7 [size=\"105700693\", alpha=\"0.10\", expect_size=\"31710208\"] \n  7 -> 9 [size =\"31710208\"]\n  7 -> 11 [size =\"31710208\"]\n  7 -> 14 [size =\"31710208\"]\n  8 [size=\"49462613\", alpha=\"0.06\", expect_size=\"14838784\"] \n  8 -> 17 [size =\"14838784\"]\n  8 -> 19 [size =\"14838784\"]\n  9 [size=\"61999787\", alpha=\"0.18\", expect_size=\"18599936\"] \n  9 -> 16 [size =\"18599936\"]\n  9 -> 17 [size =\"18599936\"]\n  10 [size=\"134072320\", alpha=\"0.11\", expect_size=\"40221696\"] \n  10 -> 17 [size =\"40221696\"]\n  10 -> 20 [size =\"40221696\"]\n  11 [size=\"101027840\", alpha=\"0.08\", expect_size=\"30308352\"] \n  12 [size=\"164509013\", alpha=\"0.17\", expect_size=\"49352704\"] \n  12 -> 18 [size =\"49352704\"]\n  13 [size=\"145524053\", alpha=\"0.05\", expect_size=\"43657216\"] \n  13 -> 16 [size =\"43657216\"]\n  13 -> 18 [size =\"43657216\"]\n  13 -> 19 [size =\"43657216\"]\n  14 [size=\"111199573\", alpha=\"0.03\", expect_size=\"33359872\"] \n  14 -> 17 [size =\"33359872\"]\n  14 -> 18 [size =\"33359872\"]\n  14 -> 19 [size =\"33359872\"]\n  15 [size=\"164106240\", alpha=\"0.06\", expect_size=\"49231872\"] \n  15 -> 16 [size =\"49231872\"]\n  15 -> 18 [size =\"49231872\"]\n  15 -> 19 [size =\"49231872\"]\n  16 [size=\"167389867\", alpha=\"0.12\", expect_size=\"50216960\"] \n  17 [size=\"17616213\", alpha=\"0.00\", expect_size=\"5284864\"] \n  18 [size=\"94928213\", alpha=\"0.02\", expect_size=\"28478464\"] \n  19 [size=\"143834453\", alpha=\"0.03\", expect_size=\"43150336\"] \n  20 [size=\"128017067\", alpha=\"0.06\", expect_size=\"38405120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123040427\", alpha=\"0.14\", expect_size=\"36912128\"] \n  1 -> 3 [size =\"36912128\"]\n  1 -> 4 [size =\"36912128\"]\n  2 [size=\"156296533\", alpha=\"0.20\", expect_size=\"46888960\"] \n  2 -> 4 [size =\"46888960\"]\n  3 [size=\"90685440\", alpha=\"0.04\", expect_size=\"27205632\"] \n  3 -> 6 [size =\"27205632\"]\n  4 [size=\"145452373\", alpha=\"0.15\", expect_size=\"43635712\"] \n  4 -> 5 [size =\"43635712\"]\n  5 [size=\"153374720\", alpha=\"0.01\", expect_size=\"46012416\"] \n  5 -> 7 [size =\"46012416\"]\n  6 [size=\"53756587\", alpha=\"0.17\", expect_size=\"16126976\"] \n  6 -> 7 [size =\"16126976\"]\n  7 [size=\"26978987\", alpha=\"0.01\", expect_size=\"8093696\"] \n  7 -> 8 [size =\"8093696\"]\n  8 [size=\"50425173\", alpha=\"0.09\", expect_size=\"15127552\"] \n  8 -> 9 [size =\"15127552\"]\n  9 [size=\"76127573\", alpha=\"0.13\", expect_size=\"22838272\"] \n  9 -> 10 [size =\"22838272\"]\n  9 -> 11 [size =\"22838272\"]\n  10 [size=\"85558613\", alpha=\"0.20\", expect_size=\"25667584\"] \n  11 [size=\"156627627\", alpha=\"0.16\", expect_size=\"46988288\"] \n  11 -> 12 [size =\"46988288\"]\n  12 [size=\"108339200\", alpha=\"0.09\", expect_size=\"32501760\"] \n  12 -> 13 [size =\"32501760\"]\n  13 [size=\"105048747\", alpha=\"0.09\", expect_size=\"31514624\"] \n  13 -> 14 [size =\"31514624\"]\n  13 -> 15 [size =\"31514624\"]\n  14 [size=\"139472213\", alpha=\"0.10\", expect_size=\"41841664\"] \n  14 -> 16 [size =\"41841664\"]\n  15 [size=\"96310613\", alpha=\"0.07\", expect_size=\"28893184\"] \n  15 -> 16 [size =\"28893184\"]\n  16 [size=\"107243520\", alpha=\"0.19\", expect_size=\"32173056\"] \n  16 -> 17 [size =\"32173056\"]\n  17 [size=\"83503787\", alpha=\"0.15\", expect_size=\"25051136\"] \n  17 -> 18 [size =\"25051136\"]\n  18 [size=\"93754027\", alpha=\"0.04\", expect_size=\"28126208\"] \n  18 -> 19 [size =\"28126208\"]\n  19 [size=\"164829867\", alpha=\"0.05\", expect_size=\"49448960\"] \n  19 -> 20 [size =\"49448960\"]\n  20 [size=\"111933440\", alpha=\"0.13\", expect_size=\"33580032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100979200\", alpha=\"0.07\", expect_size=\"40391680\"] \n  1 -> 11 [size =\"40391680\"]\n  2 [size=\"50501120\", alpha=\"0.20\", expect_size=\"20200448\"] \n  2 -> 11 [size =\"20200448\"]\n  2 -> 14 [size =\"20200448\"]\n  2 -> 16 [size =\"20200448\"]\n  2 -> 18 [size =\"20200448\"]\n  3 [size=\"41600000\", alpha=\"0.12\", expect_size=\"16640000\"] \n  3 -> 13 [size =\"16640000\"]\n  3 -> 19 [size =\"16640000\"]\n  4 [size=\"86686720\", alpha=\"0.06\", expect_size=\"34674688\"] \n  4 -> 13 [size =\"34674688\"]\n  5 [size=\"75732480\", alpha=\"0.01\", expect_size=\"30292992\"] \n  5 -> 10 [size =\"30292992\"]\n  5 -> 14 [size =\"30292992\"]\n  6 [size=\"56230400\", alpha=\"0.14\", expect_size=\"22492160\"] \n  6 -> 10 [size =\"22492160\"]\n  6 -> 12 [size =\"22492160\"]\n  6 -> 15 [size =\"22492160\"]\n  7 [size=\"92610560\", alpha=\"0.05\", expect_size=\"37044224\"] \n  7 -> 11 [size =\"37044224\"]\n  7 -> 14 [size =\"37044224\"]\n  7 -> 15 [size =\"37044224\"]\n  8 [size=\"32944640\", alpha=\"0.15\", expect_size=\"13177856\"] \n  8 -> 11 [size =\"13177856\"]\n  8 -> 12 [size =\"13177856\"]\n  8 -> 13 [size =\"13177856\"]\n  8 -> 14 [size =\"13177856\"]\n  8 -> 15 [size =\"13177856\"]\n  8 -> 16 [size =\"13177856\"]\n  9 [size=\"34447360\", alpha=\"0.01\", expect_size=\"13778944\"] \n  9 -> 16 [size =\"13778944\"]\n  9 -> 17 [size =\"13778944\"]\n  9 -> 18 [size =\"13778944\"]\n  10 [size=\"128908800\", alpha=\"0.20\", expect_size=\"51563520\"] \n  10 -> 20 [size =\"51563520\"]\n  11 [size=\"57768960\", alpha=\"0.04\", expect_size=\"23107584\"] \n  11 -> 20 [size =\"23107584\"]\n  12 [size=\"98752000\", alpha=\"0.16\", expect_size=\"39500800\"] \n  13 [size=\"97917440\", alpha=\"0.14\", expect_size=\"39166976\"] \n  14 [size=\"51768320\", alpha=\"0.15\", expect_size=\"20707328\"] \n  15 [size=\"89932800\", alpha=\"0.05\", expect_size=\"35973120\"] \n  16 [size=\"96325120\", alpha=\"0.18\", expect_size=\"38530048\"] \n  17 [size=\"60736000\", alpha=\"0.13\", expect_size=\"24294400\"] \n  18 [size=\"89144320\", alpha=\"0.05\", expect_size=\"35657728\"] \n  19 [size=\"58342400\", alpha=\"0.09\", expect_size=\"23336960\"] \n  19 -> 20 [size =\"23336960\"]\n  20 [size=\"62735360\", alpha=\"0.11\", expect_size=\"25094144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23449600\", alpha=\"0.01\", expect_size=\"9379840\"] \n  1 -> 13 [size =\"9379840\"]\n  2 [size=\"30225920\", alpha=\"0.08\", expect_size=\"12090368\"] \n  2 -> 13 [size =\"12090368\"]\n  3 [size=\"120440320\", alpha=\"0.18\", expect_size=\"48176128\"] \n  3 -> 9 [size =\"48176128\"]\n  3 -> 14 [size =\"48176128\"]\n  4 [size=\"30566400\", alpha=\"0.09\", expect_size=\"12226560\"] \n  4 -> 10 [size =\"12226560\"]\n  4 -> 13 [size =\"12226560\"]\n  5 [size=\"55621120\", alpha=\"0.05\", expect_size=\"22248448\"] \n  5 -> 11 [size =\"22248448\"]\n  5 -> 12 [size =\"22248448\"]\n  6 [size=\"67840000\", alpha=\"0.06\", expect_size=\"27136000\"] \n  6 -> 9 [size =\"27136000\"]\n  6 -> 12 [size =\"27136000\"]\n  7 [size=\"94028800\", alpha=\"0.02\", expect_size=\"37611520\"] \n  7 -> 10 [size =\"37611520\"]\n  7 -> 12 [size =\"37611520\"]\n  8 [size=\"75968000\", alpha=\"0.11\", expect_size=\"30387200\"] \n  8 -> 10 [size =\"30387200\"]\n  8 -> 13 [size =\"30387200\"]\n  9 [size=\"116889600\", alpha=\"0.04\", expect_size=\"46755840\"] \n  10 [size=\"67212800\", alpha=\"0.04\", expect_size=\"26885120\"] \n  10 -> 17 [size =\"26885120\"]\n  11 [size=\"112314880\", alpha=\"0.20\", expect_size=\"44925952\"] \n  11 -> 17 [size =\"44925952\"]\n  11 -> 18 [size =\"44925952\"]\n  12 [size=\"116536320\", alpha=\"0.12\", expect_size=\"46614528\"] \n  12 -> 16 [size =\"46614528\"]\n  12 -> 17 [size =\"46614528\"]\n  12 -> 18 [size =\"46614528\"]\n  13 [size=\"46602240\", alpha=\"0.00\", expect_size=\"18640896\"] \n  13 -> 15 [size =\"18640896\"]\n  13 -> 16 [size =\"18640896\"]\n  13 -> 18 [size =\"18640896\"]\n  14 [size=\"37409280\", alpha=\"0.17\", expect_size=\"14963712\"] \n  14 -> 15 [size =\"14963712\"]\n  15 [size=\"89930240\", alpha=\"0.08\", expect_size=\"35972096\"] \n  15 -> 20 [size =\"35972096\"]\n  16 [size=\"118996480\", alpha=\"0.15\", expect_size=\"47598592\"] \n  16 -> 20 [size =\"47598592\"]\n  17 [size=\"33592320\", alpha=\"0.14\", expect_size=\"13436928\"] \n  17 -> 19 [size =\"13436928\"]\n  18 [size=\"47749120\", alpha=\"0.17\", expect_size=\"19099648\"] \n  19 [size=\"114214400\", alpha=\"0.10\", expect_size=\"45685760\"] \n  20 [size=\"20293120\", alpha=\"0.09\", expect_size=\"8117248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114716160\", alpha=\"0.12\", expect_size=\"45886464\"] \n  2 [size=\"28308480\", alpha=\"0.10\", expect_size=\"11323392\"] \n  2 -> 3 [size =\"11323392\"]\n  3 [size=\"116848640\", alpha=\"0.14\", expect_size=\"46739456\"] \n  3 -> 4 [size =\"46739456\"]\n  3 -> 5 [size =\"46739456\"]\n  4 [size=\"21696000\", alpha=\"0.01\", expect_size=\"8678400\"] \n  4 -> 6 [size =\"8678400\"]\n  5 [size=\"65756160\", alpha=\"0.15\", expect_size=\"26302464\"] \n  5 -> 6 [size =\"26302464\"]\n  6 [size=\"122301440\", alpha=\"0.18\", expect_size=\"48920576\"] \n  6 -> 7 [size =\"48920576\"]\n  7 [size=\"75496960\", alpha=\"0.07\", expect_size=\"30198784\"] \n  7 -> 8 [size =\"30198784\"]\n  8 [size=\"102097920\", alpha=\"0.11\", expect_size=\"40839168\"] \n  8 -> 9 [size =\"40839168\"]\n  9 [size=\"126714880\", alpha=\"0.20\", expect_size=\"50685952\"] \n  9 -> 10 [size =\"50685952\"]\n  10 [size=\"97105920\", alpha=\"0.05\", expect_size=\"38842368\"] \n  10 -> 11 [size =\"38842368\"]\n  11 [size=\"71285760\", alpha=\"0.09\", expect_size=\"28514304\"] \n  11 -> 12 [size =\"28514304\"]\n  12 [size=\"24192000\", alpha=\"0.15\", expect_size=\"9676800\"] \n  12 -> 13 [size =\"9676800\"]\n  13 [size=\"80258560\", alpha=\"0.17\", expect_size=\"32103424\"] \n  13 -> 14 [size =\"32103424\"]\n  13 -> 15 [size =\"32103424\"]\n  14 [size=\"46103040\", alpha=\"0.07\", expect_size=\"18441216\"] \n  14 -> 16 [size =\"18441216\"]\n  14 -> 17 [size =\"18441216\"]\n  15 [size=\"53224960\", alpha=\"0.18\", expect_size=\"21289984\"] \n  15 -> 16 [size =\"21289984\"]\n  15 -> 17 [size =\"21289984\"]\n  16 [size=\"26296320\", alpha=\"0.05\", expect_size=\"10518528\"] \n  16 -> 18 [size =\"10518528\"]\n  17 [size=\"130337280\", alpha=\"0.13\", expect_size=\"52134912\"] \n  18 [size=\"52044800\", alpha=\"0.05\", expect_size=\"20817920\"] \n  18 -> 19 [size =\"20817920\"]\n  18 -> 20 [size =\"20817920\"]\n  19 [size=\"119278080\", alpha=\"0.19\", expect_size=\"47711232\"] \n  20 [size=\"118932480\", alpha=\"0.08\", expect_size=\"47572992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35375787\", alpha=\"0.20\", expect_size=\"10612736\"] \n  1 -> 2 [size =\"10612736\"]\n  2 [size=\"166113280\", alpha=\"0.09\", expect_size=\"49833984\"] \n  2 -> 3 [size =\"49833984\"]\n  3 [size=\"170113707\", alpha=\"0.15\", expect_size=\"51034112\"] \n  3 -> 4 [size =\"51034112\"]\n  4 [size=\"78486187\", alpha=\"0.15\", expect_size=\"23545856\"] \n  4 -> 5 [size =\"23545856\"]\n  5 [size=\"68109653\", alpha=\"0.18\", expect_size=\"20432896\"] \n  5 -> 6 [size =\"20432896\"]\n  6 [size=\"39744853\", alpha=\"0.08\", expect_size=\"11923456\"] \n  6 -> 7 [size =\"11923456\"]\n  7 [size=\"168813227\", alpha=\"0.13\", expect_size=\"50643968\"] \n  7 -> 8 [size =\"50643968\"]\n  8 [size=\"81145173\", alpha=\"0.13\", expect_size=\"24343552\"] \n  8 -> 9 [size =\"24343552\"]\n  9 [size=\"57466880\", alpha=\"0.19\", expect_size=\"17240064\"] \n  9 -> 10 [size =\"17240064\"]\n  10 [size=\"70150827\", alpha=\"0.09\", expect_size=\"21045248\"] \n  10 -> 11 [size =\"21045248\"]\n  11 [size=\"86603093\", alpha=\"0.09\", expect_size=\"25980928\"] \n  11 -> 12 [size =\"25980928\"]\n  12 [size=\"85019307\", alpha=\"0.19\", expect_size=\"25505792\"] \n  12 -> 13 [size =\"25505792\"]\n  13 [size=\"154552320\", alpha=\"0.16\", expect_size=\"46365696\"] \n  13 -> 14 [size =\"46365696\"]\n  14 [size=\"113827840\", alpha=\"0.19\", expect_size=\"34148352\"] \n  14 -> 15 [size =\"34148352\"]\n  15 [size=\"74885120\", alpha=\"0.07\", expect_size=\"22465536\"] \n  15 -> 16 [size =\"22465536\"]\n  16 [size=\"61337600\", alpha=\"0.17\", expect_size=\"18401280\"] \n  16 -> 17 [size =\"18401280\"]\n  17 [size=\"123006293\", alpha=\"0.04\", expect_size=\"36901888\"] \n  17 -> 18 [size =\"36901888\"]\n  18 [size=\"65727147\", alpha=\"0.12\", expect_size=\"19718144\"] \n  18 -> 19 [size =\"19718144\"]\n  19 [size=\"169605120\", alpha=\"0.06\", expect_size=\"50881536\"] \n  19 -> 20 [size =\"50881536\"]\n  20 [size=\"160276480\", alpha=\"0.02\", expect_size=\"48082944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110205440\", alpha=\"0.04\", expect_size=\"44082176\"] \n  1 -> 19 [size =\"44082176\"]\n  2 [size=\"27253760\", alpha=\"0.18\", expect_size=\"10901504\"] \n  3 [size=\"124446720\", alpha=\"0.09\", expect_size=\"49778688\"] \n  4 [size=\"61734400\", alpha=\"0.09\", expect_size=\"24693760\"] \n  5 [size=\"103464960\", alpha=\"0.09\", expect_size=\"41385984\"] \n  5 -> 19 [size =\"41385984\"]\n  6 [size=\"34280960\", alpha=\"0.09\", expect_size=\"13712384\"] \n  6 -> 19 [size =\"13712384\"]\n  7 [size=\"106301440\", alpha=\"0.18\", expect_size=\"42520576\"] \n  7 -> 20 [size =\"42520576\"]\n  8 [size=\"39582720\", alpha=\"0.19\", expect_size=\"15833088\"] \n  9 [size=\"123248640\", alpha=\"0.19\", expect_size=\"49299456\"] \n  9 -> 20 [size =\"49299456\"]\n  10 [size=\"79964160\", alpha=\"0.14\", expect_size=\"31985664\"] \n  11 [size=\"111667200\", alpha=\"0.10\", expect_size=\"44666880\"] \n  11 -> 19 [size =\"44666880\"]\n  11 -> 20 [size =\"44666880\"]\n  12 [size=\"17000960\", alpha=\"0.14\", expect_size=\"6800384\"] \n  12 -> 19 [size =\"6800384\"]\n  13 [size=\"125744640\", alpha=\"0.03\", expect_size=\"50297856\"] \n  14 [size=\"63733760\", alpha=\"0.19\", expect_size=\"25493504\"] \n  14 -> 18 [size =\"25493504\"]\n  14 -> 20 [size =\"25493504\"]\n  15 [size=\"118896640\", alpha=\"0.14\", expect_size=\"47558656\"] \n  15 -> 20 [size =\"47558656\"]\n  15 -> 20 [size =\"47558656\"]\n  16 [size=\"55272960\", alpha=\"0.12\", expect_size=\"22109184\"] \n  17 [size=\"108075520\", alpha=\"0.14\", expect_size=\"43230208\"] \n  17 -> 20 [size =\"43230208\"]\n  18 [size=\"98388480\", alpha=\"0.05\", expect_size=\"39355392\"] \n  19 [size=\"89738240\", alpha=\"0.10\", expect_size=\"35895296\"] \n  20 [size=\"84595200\", alpha=\"0.19\", expect_size=\"33838080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63641600\", alpha=\"0.01\", expect_size=\"25456640\"] \n  1 -> 4 [size =\"25456640\"]\n  2 [size=\"23723520\", alpha=\"0.05\", expect_size=\"9489408\"] \n  2 -> 5 [size =\"9489408\"]\n  2 -> 6 [size =\"9489408\"]\n  2 -> 7 [size =\"9489408\"]\n  3 [size=\"88522240\", alpha=\"0.05\", expect_size=\"35408896\"] \n  3 -> 4 [size =\"35408896\"]\n  3 -> 6 [size =\"35408896\"]\n  3 -> 7 [size =\"35408896\"]\n  4 [size=\"87495680\", alpha=\"0.14\", expect_size=\"34998272\"] \n  4 -> 9 [size =\"34998272\"]\n  4 -> 10 [size =\"34998272\"]\n  4 -> 12 [size =\"34998272\"]\n  5 [size=\"107786240\", alpha=\"0.18\", expect_size=\"43114496\"] \n  5 -> 8 [size =\"43114496\"]\n  5 -> 9 [size =\"43114496\"]\n  5 -> 11 [size =\"43114496\"]\n  5 -> 12 [size =\"43114496\"]\n  6 [size=\"98365440\", alpha=\"0.09\", expect_size=\"39346176\"] \n  6 -> 8 [size =\"39346176\"]\n  6 -> 11 [size =\"39346176\"]\n  6 -> 12 [size =\"39346176\"]\n  7 [size=\"68838400\", alpha=\"0.17\", expect_size=\"27535360\"] \n  7 -> 10 [size =\"27535360\"]\n  7 -> 11 [size =\"27535360\"]\n  8 [size=\"30348800\", alpha=\"0.14\", expect_size=\"12139520\"] \n  8 -> 14 [size =\"12139520\"]\n  9 [size=\"90283520\", alpha=\"0.05\", expect_size=\"36113408\"] \n  9 -> 13 [size =\"36113408\"]\n  10 [size=\"81489920\", alpha=\"0.17\", expect_size=\"32595968\"] \n  10 -> 15 [size =\"32595968\"]\n  11 [size=\"88317440\", alpha=\"0.07\", expect_size=\"35326976\"] \n  11 -> 13 [size =\"35326976\"]\n  11 -> 14 [size =\"35326976\"]\n  12 [size=\"94246400\", alpha=\"0.07\", expect_size=\"37698560\"] \n  12 -> 13 [size =\"37698560\"]\n  12 -> 14 [size =\"37698560\"]\n  12 -> 15 [size =\"37698560\"]\n  13 [size=\"121428480\", alpha=\"0.18\", expect_size=\"48571392\"] \n  13 -> 17 [size =\"48571392\"]\n  13 -> 19 [size =\"48571392\"]\n  14 [size=\"32051200\", alpha=\"0.04\", expect_size=\"12820480\"] \n  14 -> 16 [size =\"12820480\"]\n  14 -> 18 [size =\"12820480\"]\n  14 -> 19 [size =\"12820480\"]\n  15 [size=\"114593280\", alpha=\"0.20\", expect_size=\"45837312\"] \n  15 -> 18 [size =\"45837312\"]\n  16 [size=\"105712640\", alpha=\"0.16\", expect_size=\"42285056\"] \n  17 [size=\"41377280\", alpha=\"0.03\", expect_size=\"16550912\"] \n  17 -> 20 [size =\"16550912\"]\n  18 [size=\"22361600\", alpha=\"0.06\", expect_size=\"8944640\"] \n  19 [size=\"102256640\", alpha=\"0.18\", expect_size=\"40902656\"] \n  20 [size=\"16023040\", alpha=\"0.18\", expect_size=\"6409216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109527040\", alpha=\"0.20\", expect_size=\"32858112\"] \n  1 -> 8 [size =\"32858112\"]\n  1 -> 13 [size =\"32858112\"]\n  2 [size=\"119432533\", alpha=\"0.03\", expect_size=\"35829760\"] \n  2 -> 9 [size =\"35829760\"]\n  2 -> 10 [size =\"35829760\"]\n  2 -> 13 [size =\"35829760\"]\n  2 -> 14 [size =\"35829760\"]\n  3 [size=\"136471893\", alpha=\"0.01\", expect_size=\"40941568\"] \n  4 [size=\"86432427\", alpha=\"0.04\", expect_size=\"25929728\"] \n  4 -> 7 [size =\"25929728\"]\n  4 -> 10 [size =\"25929728\"]\n  4 -> 11 [size =\"25929728\"]\n  4 -> 12 [size =\"25929728\"]\n  4 -> 14 [size =\"25929728\"]\n  4 -> 16 [size =\"25929728\"]\n  5 [size=\"103273813\", alpha=\"0.04\", expect_size=\"30982144\"] \n  5 -> 7 [size =\"30982144\"]\n  5 -> 10 [size =\"30982144\"]\n  5 -> 13 [size =\"30982144\"]\n  5 -> 14 [size =\"30982144\"]\n  5 -> 16 [size =\"30982144\"]\n  6 [size=\"125006507\", alpha=\"0.01\", expect_size=\"37501952\"] \n  6 -> 7 [size =\"37501952\"]\n  6 -> 15 [size =\"37501952\"]\n  6 -> 16 [size =\"37501952\"]\n  7 [size=\"147179520\", alpha=\"0.04\", expect_size=\"44153856\"] \n  7 -> 18 [size =\"44153856\"]\n  8 [size=\"162747733\", alpha=\"0.05\", expect_size=\"48824320\"] \n  9 [size=\"100433920\", alpha=\"0.16\", expect_size=\"30130176\"] \n  9 -> 18 [size =\"30130176\"]\n  9 -> 19 [size =\"30130176\"]\n  10 [size=\"155023360\", alpha=\"0.14\", expect_size=\"46507008\"] \n  10 -> 19 [size =\"46507008\"]\n  10 -> 20 [size =\"46507008\"]\n  11 [size=\"80831147\", alpha=\"0.13\", expect_size=\"24249344\"] \n  11 -> 19 [size =\"24249344\"]\n  12 [size=\"80312320\", alpha=\"0.05\", expect_size=\"24093696\"] \n  12 -> 18 [size =\"24093696\"]\n  12 -> 19 [size =\"24093696\"]\n  13 [size=\"105164800\", alpha=\"0.05\", expect_size=\"31549440\"] \n  13 -> 19 [size =\"31549440\"]\n  14 [size=\"113111040\", alpha=\"0.18\", expect_size=\"33933312\"] \n  15 [size=\"147933867\", alpha=\"0.02\", expect_size=\"44380160\"] \n  15 -> 17 [size =\"44380160\"]\n  16 [size=\"25808213\", alpha=\"0.04\", expect_size=\"7742464\"] \n  17 [size=\"35901440\", alpha=\"0.08\", expect_size=\"10770432\"] \n  18 [size=\"65938773\", alpha=\"0.05\", expect_size=\"19781632\"] \n  19 [size=\"105540267\", alpha=\"0.11\", expect_size=\"31662080\"] \n  20 [size=\"73710933\", alpha=\"0.00\", expect_size=\"22113280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99235840\", alpha=\"0.19\", expect_size=\"39694336\"] \n  1 -> 9 [size =\"39694336\"]\n  1 -> 10 [size =\"39694336\"]\n  1 -> 12 [size =\"39694336\"]\n  1 -> 13 [size =\"39694336\"]\n  1 -> 15 [size =\"39694336\"]\n  1 -> 16 [size =\"39694336\"]\n  2 [size=\"57448960\", alpha=\"0.16\", expect_size=\"22979584\"] \n  2 -> 9 [size =\"22979584\"]\n  2 -> 11 [size =\"22979584\"]\n  2 -> 12 [size =\"22979584\"]\n  2 -> 13 [size =\"22979584\"]\n  2 -> 15 [size =\"22979584\"]\n  2 -> 16 [size =\"22979584\"]\n  3 [size=\"64153600\", alpha=\"0.08\", expect_size=\"25661440\"] \n  3 -> 8 [size =\"25661440\"]\n  3 -> 11 [size =\"25661440\"]\n  3 -> 12 [size =\"25661440\"]\n  3 -> 13 [size =\"25661440\"]\n  4 [size=\"101504000\", alpha=\"0.14\", expect_size=\"40601600\"] \n  4 -> 8 [size =\"40601600\"]\n  4 -> 10 [size =\"40601600\"]\n  4 -> 11 [size =\"40601600\"]\n  4 -> 12 [size =\"40601600\"]\n  4 -> 14 [size =\"40601600\"]\n  4 -> 16 [size =\"40601600\"]\n  5 [size=\"69127680\", alpha=\"0.05\", expect_size=\"27651072\"] \n  5 -> 8 [size =\"27651072\"]\n  5 -> 10 [size =\"27651072\"]\n  5 -> 11 [size =\"27651072\"]\n  5 -> 12 [size =\"27651072\"]\n  5 -> 13 [size =\"27651072\"]\n  5 -> 14 [size =\"27651072\"]\n  5 -> 15 [size =\"27651072\"]\n  5 -> 16 [size =\"27651072\"]\n  6 [size=\"22840320\", alpha=\"0.05\", expect_size=\"9136128\"] \n  6 -> 11 [size =\"9136128\"]\n  6 -> 12 [size =\"9136128\"]\n  6 -> 13 [size =\"9136128\"]\n  6 -> 16 [size =\"9136128\"]\n  7 [size=\"124968960\", alpha=\"0.19\", expect_size=\"49987584\"] \n  7 -> 11 [size =\"49987584\"]\n  7 -> 13 [size =\"49987584\"]\n  7 -> 14 [size =\"49987584\"]\n  8 [size=\"119429120\", alpha=\"0.04\", expect_size=\"47771648\"] \n  8 -> 18 [size =\"47771648\"]\n  9 [size=\"65118720\", alpha=\"0.19\", expect_size=\"26047488\"] \n  9 -> 17 [size =\"26047488\"]\n  9 -> 20 [size =\"26047488\"]\n  10 [size=\"87872000\", alpha=\"0.14\", expect_size=\"35148800\"] \n  10 -> 18 [size =\"35148800\"]\n  10 -> 20 [size =\"35148800\"]\n  11 [size=\"45319680\", alpha=\"0.00\", expect_size=\"18127872\"] \n  11 -> 18 [size =\"18127872\"]\n  11 -> 20 [size =\"18127872\"]\n  12 [size=\"38853120\", alpha=\"0.14\", expect_size=\"15541248\"] \n  12 -> 18 [size =\"15541248\"]\n  12 -> 20 [size =\"15541248\"]\n  13 [size=\"130531840\", alpha=\"0.05\", expect_size=\"52212736\"] \n  13 -> 18 [size =\"52212736\"]\n  13 -> 19 [size =\"52212736\"]\n  13 -> 20 [size =\"52212736\"]\n  14 [size=\"57876480\", alpha=\"0.00\", expect_size=\"23150592\"] \n  14 -> 18 [size =\"23150592\"]\n  14 -> 19 [size =\"23150592\"]\n  15 [size=\"24404480\", alpha=\"0.01\", expect_size=\"9761792\"] \n  15 -> 20 [size =\"9761792\"]\n  16 [size=\"55779840\", alpha=\"0.10\", expect_size=\"22311936\"] \n  16 -> 20 [size =\"22311936\"]\n  17 [size=\"82362880\", alpha=\"0.13\", expect_size=\"32945152\"] \n  18 [size=\"76787200\", alpha=\"0.09\", expect_size=\"30714880\"] \n  19 [size=\"99714560\", alpha=\"0.09\", expect_size=\"39885824\"] \n  20 [size=\"94115840\", alpha=\"0.17\", expect_size=\"37646336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55526400\", alpha=\"0.11\", expect_size=\"22210560\"] \n  1 -> 2 [size =\"22210560\"]\n  2 [size=\"93652480\", alpha=\"0.15\", expect_size=\"37460992\"] \n  2 -> 3 [size =\"37460992\"]\n  3 [size=\"83855360\", alpha=\"0.14\", expect_size=\"33542144\"] \n  3 -> 4 [size =\"33542144\"]\n  4 [size=\"20620800\", alpha=\"0.06\", expect_size=\"8248320\"] \n  4 -> 5 [size =\"8248320\"]\n  5 [size=\"29032960\", alpha=\"0.03\", expect_size=\"11613184\"] \n  5 -> 6 [size =\"11613184\"]\n  6 [size=\"48775680\", alpha=\"0.05\", expect_size=\"19510272\"] \n  6 -> 7 [size =\"19510272\"]\n  7 [size=\"81715200\", alpha=\"0.07\", expect_size=\"32686080\"] \n  7 -> 8 [size =\"32686080\"]\n  8 [size=\"28244480\", alpha=\"0.08\", expect_size=\"11297792\"] \n  8 -> 9 [size =\"11297792\"]\n  9 [size=\"72814080\", alpha=\"0.15\", expect_size=\"29125632\"] \n  9 -> 10 [size =\"29125632\"]\n  10 [size=\"121029120\", alpha=\"0.04\", expect_size=\"48411648\"] \n  10 -> 11 [size =\"48411648\"]\n  11 [size=\"30970880\", alpha=\"0.15\", expect_size=\"12388352\"] \n  11 -> 12 [size =\"12388352\"]\n  12 [size=\"93890560\", alpha=\"0.12\", expect_size=\"37556224\"] \n  12 -> 13 [size =\"37556224\"]\n  13 [size=\"64688640\", alpha=\"0.08\", expect_size=\"25875456\"] \n  13 -> 14 [size =\"25875456\"]\n  14 [size=\"27632640\", alpha=\"0.05\", expect_size=\"11053056\"] \n  14 -> 15 [size =\"11053056\"]\n  15 [size=\"61048320\", alpha=\"0.17\", expect_size=\"24419328\"] \n  15 -> 16 [size =\"24419328\"]\n  16 [size=\"78571520\", alpha=\"0.06\", expect_size=\"31428608\"] \n  16 -> 17 [size =\"31428608\"]\n  17 [size=\"106918400\", alpha=\"0.03\", expect_size=\"42767360\"] \n  17 -> 18 [size =\"42767360\"]\n  18 [size=\"28467200\", alpha=\"0.14\", expect_size=\"11386880\"] \n  18 -> 19 [size =\"11386880\"]\n  19 [size=\"73052160\", alpha=\"0.08\", expect_size=\"29220864\"] \n  19 -> 20 [size =\"29220864\"]\n  20 [size=\"44902400\", alpha=\"0.19\", expect_size=\"17960960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72942080\", alpha=\"0.09\", expect_size=\"29176832\"] \n  1 -> 2 [size =\"29176832\"]\n  2 [size=\"122603520\", alpha=\"0.04\", expect_size=\"49041408\"] \n  2 -> 3 [size =\"49041408\"]\n  3 [size=\"74775040\", alpha=\"0.18\", expect_size=\"29910016\"] \n  3 -> 4 [size =\"29910016\"]\n  4 [size=\"95124480\", alpha=\"0.14\", expect_size=\"38049792\"] \n  4 -> 5 [size =\"38049792\"]\n  5 [size=\"83095040\", alpha=\"0.14\", expect_size=\"33238016\"] \n  5 -> 6 [size =\"33238016\"]\n  6 [size=\"87365120\", alpha=\"0.00\", expect_size=\"34946048\"] \n  6 -> 7 [size =\"34946048\"]\n  7 [size=\"72074240\", alpha=\"0.06\", expect_size=\"28829696\"] \n  7 -> 8 [size =\"28829696\"]\n  8 [size=\"80000000\", alpha=\"0.13\", expect_size=\"32000000\"] \n  8 -> 9 [size =\"32000000\"]\n  9 [size=\"19069440\", alpha=\"0.19\", expect_size=\"7627776\"] \n  9 -> 10 [size =\"7627776\"]\n  10 [size=\"110474240\", alpha=\"0.06\", expect_size=\"44189696\"] \n  10 -> 11 [size =\"44189696\"]\n  11 [size=\"118046720\", alpha=\"0.09\", expect_size=\"47218688\"] \n  11 -> 12 [size =\"47218688\"]\n  12 [size=\"52490240\", alpha=\"0.05\", expect_size=\"20996096\"] \n  12 -> 13 [size =\"20996096\"]\n  13 [size=\"78208000\", alpha=\"0.10\", expect_size=\"31283200\"] \n  13 -> 14 [size =\"31283200\"]\n  14 [size=\"64040960\", alpha=\"0.01\", expect_size=\"25616384\"] \n  14 -> 15 [size =\"25616384\"]\n  15 [size=\"28249600\", alpha=\"0.10\", expect_size=\"11299840\"] \n  15 -> 16 [size =\"11299840\"]\n  16 [size=\"111431680\", alpha=\"0.15\", expect_size=\"44572672\"] \n  16 -> 17 [size =\"44572672\"]\n  17 [size=\"114109440\", alpha=\"0.00\", expect_size=\"45643776\"] \n  17 -> 18 [size =\"45643776\"]\n  18 [size=\"30492160\", alpha=\"0.06\", expect_size=\"12196864\"] \n  18 -> 19 [size =\"12196864\"]\n  19 [size=\"106247680\", alpha=\"0.15\", expect_size=\"42499072\"] \n  19 -> 20 [size =\"42499072\"]\n  20 [size=\"100503040\", alpha=\"0.11\", expect_size=\"40201216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107269120\", alpha=\"0.10\", expect_size=\"42907648\"] \n  1 -> 5 [size =\"42907648\"]\n  1 -> 7 [size =\"42907648\"]\n  2 [size=\"86502400\", alpha=\"0.01\", expect_size=\"34600960\"] \n  2 -> 5 [size =\"34600960\"]\n  2 -> 6 [size =\"34600960\"]\n  2 -> 8 [size =\"34600960\"]\n  3 [size=\"103060480\", alpha=\"0.18\", expect_size=\"41224192\"] \n  3 -> 5 [size =\"41224192\"]\n  3 -> 6 [size =\"41224192\"]\n  3 -> 8 [size =\"41224192\"]\n  4 [size=\"64755200\", alpha=\"0.06\", expect_size=\"25902080\"] \n  4 -> 5 [size =\"25902080\"]\n  4 -> 6 [size =\"25902080\"]\n  4 -> 7 [size =\"25902080\"]\n  4 -> 8 [size =\"25902080\"]\n  5 [size=\"19363840\", alpha=\"0.18\", expect_size=\"7745536\"] \n  5 -> 9 [size =\"7745536\"]\n  5 -> 10 [size =\"7745536\"]\n  6 [size=\"108014080\", alpha=\"0.09\", expect_size=\"43205632\"] \n  6 -> 9 [size =\"43205632\"]\n  6 -> 10 [size =\"43205632\"]\n  7 [size=\"37632000\", alpha=\"0.10\", expect_size=\"15052800\"] \n  7 -> 9 [size =\"15052800\"]\n  7 -> 10 [size =\"15052800\"]\n  7 -> 11 [size =\"15052800\"]\n  8 [size=\"78812160\", alpha=\"0.19\", expect_size=\"31524864\"] \n  8 -> 9 [size =\"31524864\"]\n  8 -> 10 [size =\"31524864\"]\n  9 [size=\"66247680\", alpha=\"0.14\", expect_size=\"26499072\"] \n  9 -> 12 [size =\"26499072\"]\n  9 -> 13 [size =\"26499072\"]\n  10 [size=\"83901440\", alpha=\"0.01\", expect_size=\"33560576\"] \n  10 -> 12 [size =\"33560576\"]\n  10 -> 13 [size =\"33560576\"]\n  11 [size=\"22384640\", alpha=\"0.14\", expect_size=\"8953856\"] \n  11 -> 12 [size =\"8953856\"]\n  11 -> 14 [size =\"8953856\"]\n  12 [size=\"81528320\", alpha=\"0.19\", expect_size=\"32611328\"] \n  12 -> 15 [size =\"32611328\"]\n  12 -> 16 [size =\"32611328\"]\n  13 [size=\"85888000\", alpha=\"0.02\", expect_size=\"34355200\"] \n  13 -> 15 [size =\"34355200\"]\n  13 -> 16 [size =\"34355200\"]\n  13 -> 17 [size =\"34355200\"]\n  14 [size=\"74995200\", alpha=\"0.00\", expect_size=\"29998080\"] \n  14 -> 15 [size =\"29998080\"]\n  14 -> 16 [size =\"29998080\"]\n  14 -> 17 [size =\"29998080\"]\n  15 [size=\"108659200\", alpha=\"0.02\", expect_size=\"43463680\"] \n  15 -> 18 [size =\"43463680\"]\n  15 -> 19 [size =\"43463680\"]\n  15 -> 20 [size =\"43463680\"]\n  16 [size=\"99297280\", alpha=\"0.17\", expect_size=\"39718912\"] \n  16 -> 18 [size =\"39718912\"]\n  16 -> 19 [size =\"39718912\"]\n  16 -> 20 [size =\"39718912\"]\n  17 [size=\"34839040\", alpha=\"0.16\", expect_size=\"13935616\"] \n  17 -> 18 [size =\"13935616\"]\n  17 -> 19 [size =\"13935616\"]\n  17 -> 20 [size =\"13935616\"]\n  18 [size=\"92971520\", alpha=\"0.04\", expect_size=\"37188608\"] \n  19 [size=\"88468480\", alpha=\"0.10\", expect_size=\"35387392\"] \n  20 [size=\"55498240\", alpha=\"0.19\", expect_size=\"22199296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101785600\", alpha=\"0.12\", expect_size=\"30535680\"] \n  1 -> 3 [size =\"30535680\"]\n  1 -> 4 [size =\"30535680\"]\n  1 -> 5 [size =\"30535680\"]\n  1 -> 6 [size =\"30535680\"]\n  2 [size=\"85657600\", alpha=\"0.07\", expect_size=\"25697280\"] \n  2 -> 3 [size =\"25697280\"]\n  2 -> 4 [size =\"25697280\"]\n  2 -> 5 [size =\"25697280\"]\n  2 -> 6 [size =\"25697280\"]\n  3 [size=\"40820053\", alpha=\"0.13\", expect_size=\"12246016\"] \n  3 -> 9 [size =\"12246016\"]\n  3 -> 10 [size =\"12246016\"]\n  3 -> 11 [size =\"12246016\"]\n  4 [size=\"131054933\", alpha=\"0.07\", expect_size=\"39316480\"] \n  4 -> 7 [size =\"39316480\"]\n  4 -> 11 [size =\"39316480\"]\n  5 [size=\"132188160\", alpha=\"0.03\", expect_size=\"39656448\"] \n  5 -> 7 [size =\"39656448\"]\n  5 -> 9 [size =\"39656448\"]\n  5 -> 10 [size =\"39656448\"]\n  5 -> 11 [size =\"39656448\"]\n  6 [size=\"58176853\", alpha=\"0.03\", expect_size=\"17453056\"] \n  6 -> 8 [size =\"17453056\"]\n  6 -> 11 [size =\"17453056\"]\n  7 [size=\"58542080\", alpha=\"0.09\", expect_size=\"17562624\"] \n  7 -> 13 [size =\"17562624\"]\n  7 -> 14 [size =\"17562624\"]\n  8 [size=\"32040960\", alpha=\"0.16\", expect_size=\"9612288\"] \n  8 -> 12 [size =\"9612288\"]\n  8 -> 13 [size =\"9612288\"]\n  8 -> 14 [size =\"9612288\"]\n  9 [size=\"65344853\", alpha=\"0.11\", expect_size=\"19603456\"] \n  9 -> 14 [size =\"19603456\"]\n  10 [size=\"57460053\", alpha=\"0.09\", expect_size=\"17238016\"] \n  10 -> 13 [size =\"17238016\"]\n  10 -> 14 [size =\"17238016\"]\n  11 [size=\"98966187\", alpha=\"0.18\", expect_size=\"29689856\"] \n  11 -> 13 [size =\"29689856\"]\n  11 -> 14 [size =\"29689856\"]\n  12 [size=\"36488533\", alpha=\"0.20\", expect_size=\"10946560\"] \n  12 -> 15 [size =\"10946560\"]\n  12 -> 16 [size =\"10946560\"]\n  12 -> 17 [size =\"10946560\"]\n  12 -> 18 [size =\"10946560\"]\n  13 [size=\"91047253\", alpha=\"0.11\", expect_size=\"27314176\"] \n  13 -> 15 [size =\"27314176\"]\n  14 [size=\"36908373\", alpha=\"0.14\", expect_size=\"11072512\"] \n  14 -> 15 [size =\"11072512\"]\n  14 -> 16 [size =\"11072512\"]\n  14 -> 18 [size =\"11072512\"]\n  15 [size=\"90344107\", alpha=\"0.02\", expect_size=\"27103232\"] \n  15 -> 19 [size =\"27103232\"]\n  15 -> 20 [size =\"27103232\"]\n  16 [size=\"113250987\", alpha=\"0.18\", expect_size=\"33975296\"] \n  16 -> 19 [size =\"33975296\"]\n  17 [size=\"138909013\", alpha=\"0.02\", expect_size=\"41672704\"] \n  17 -> 19 [size =\"41672704\"]\n  17 -> 20 [size =\"41672704\"]\n  18 [size=\"49855147\", alpha=\"0.03\", expect_size=\"14956544\"] \n  18 -> 19 [size =\"14956544\"]\n  18 -> 20 [size =\"14956544\"]\n  19 [size=\"20449280\", alpha=\"0.05\", expect_size=\"6134784\"] \n  20 [size=\"104676693\", alpha=\"0.09\", expect_size=\"31403008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63260672\", alpha=\"0.05\", expect_size=\"31630336\"] \n  1 -> 15 [size =\"31630336\"]\n  1 -> 17 [size =\"31630336\"]\n  1 -> 19 [size =\"31630336\"]\n  1 -> 20 [size =\"31630336\"]\n  2 [size=\"77518848\", alpha=\"0.11\", expect_size=\"38759424\"] \n  2 -> 15 [size =\"38759424\"]\n  2 -> 17 [size =\"38759424\"]\n  2 -> 18 [size =\"38759424\"]\n  3 [size=\"31195136\", alpha=\"0.12\", expect_size=\"15597568\"] \n  3 -> 17 [size =\"15597568\"]\n  3 -> 18 [size =\"15597568\"]\n  3 -> 18 [size =\"15597568\"]\n  3 -> 19 [size =\"15597568\"]\n  3 -> 20 [size =\"15597568\"]\n  4 [size=\"27228160\", alpha=\"0.14\", expect_size=\"13614080\"] \n  4 -> 17 [size =\"13614080\"]\n  4 -> 19 [size =\"13614080\"]\n  5 [size=\"71544832\", alpha=\"0.10\", expect_size=\"35772416\"] \n  5 -> 15 [size =\"35772416\"]\n  5 -> 18 [size =\"35772416\"]\n  5 -> 19 [size =\"35772416\"]\n  6 [size=\"93325312\", alpha=\"0.04\", expect_size=\"46662656\"] \n  6 -> 15 [size =\"46662656\"]\n  6 -> 19 [size =\"46662656\"]\n  6 -> 19 [size =\"46662656\"]\n  7 [size=\"86147072\", alpha=\"0.15\", expect_size=\"43073536\"] \n  7 -> 17 [size =\"43073536\"]\n  7 -> 19 [size =\"43073536\"]\n  7 -> 20 [size =\"43073536\"]\n  8 [size=\"97206272\", alpha=\"0.03\", expect_size=\"48603136\"] \n  8 -> 15 [size =\"48603136\"]\n  8 -> 17 [size =\"48603136\"]\n  8 -> 19 [size =\"48603136\"]\n  9 [size=\"45359104\", alpha=\"0.15\", expect_size=\"22679552\"] \n  9 -> 15 [size =\"22679552\"]\n  9 -> 17 [size =\"22679552\"]\n  9 -> 18 [size =\"22679552\"]\n  10 [size=\"101089280\", alpha=\"0.10\", expect_size=\"50544640\"] \n  10 -> 15 [size =\"50544640\"]\n  11 [size=\"11667456\", alpha=\"0.06\", expect_size=\"5833728\"] \n  11 -> 16 [size =\"5833728\"]\n  11 -> 18 [size =\"5833728\"]\n  11 -> 20 [size =\"5833728\"]\n  12 [size=\"37607424\", alpha=\"0.01\", expect_size=\"18803712\"] \n  12 -> 17 [size =\"18803712\"]\n  12 -> 18 [size =\"18803712\"]\n  12 -> 19 [size =\"18803712\"]\n  13 [size=\"89843712\", alpha=\"0.04\", expect_size=\"44921856\"] \n  13 -> 17 [size =\"44921856\"]\n  13 -> 18 [size =\"44921856\"]\n  13 -> 19 [size =\"44921856\"]\n  14 [size=\"52918272\", alpha=\"0.03\", expect_size=\"26459136\"] \n  14 -> 15 [size =\"26459136\"]\n  14 -> 17 [size =\"26459136\"]\n  14 -> 20 [size =\"26459136\"]\n  15 [size=\"24129536\", alpha=\"0.16\", expect_size=\"12064768\"] \n  16 [size=\"71929856\", alpha=\"0.18\", expect_size=\"35964928\"] \n  17 [size=\"92483584\", alpha=\"0.06\", expect_size=\"46241792\"] \n  18 [size=\"70115328\", alpha=\"0.11\", expect_size=\"35057664\"] \n  19 [size=\"83707904\", alpha=\"0.11\", expect_size=\"41853952\"] \n  20 [size=\"61093888\", alpha=\"0.02\", expect_size=\"30546944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87275520\", alpha=\"0.07\", expect_size=\"34910208\"] \n  2 [size=\"119831040\", alpha=\"0.01\", expect_size=\"47932416\"] \n  2 -> 3 [size =\"47932416\"]\n  3 [size=\"65564160\", alpha=\"0.03\", expect_size=\"26225664\"] \n  3 -> 4 [size =\"26225664\"]\n  3 -> 5 [size =\"26225664\"]\n  4 [size=\"90874880\", alpha=\"0.12\", expect_size=\"36349952\"] \n  4 -> 6 [size =\"36349952\"]\n  5 [size=\"105940480\", alpha=\"0.09\", expect_size=\"42376192\"] \n  6 [size=\"82168320\", alpha=\"0.08\", expect_size=\"32867328\"] \n  6 -> 7 [size =\"32867328\"]\n  7 [size=\"126794240\", alpha=\"0.17\", expect_size=\"50717696\"] \n  7 -> 8 [size =\"50717696\"]\n  8 [size=\"25646080\", alpha=\"0.16\", expect_size=\"10258432\"] \n  8 -> 9 [size =\"10258432\"]\n  8 -> 10 [size =\"10258432\"]\n  9 [size=\"42526720\", alpha=\"0.02\", expect_size=\"17010688\"] \n  9 -> 11 [size =\"17010688\"]\n  10 [size=\"116495360\", alpha=\"0.17\", expect_size=\"46598144\"] \n  10 -> 11 [size =\"46598144\"]\n  11 [size=\"33648640\", alpha=\"0.19\", expect_size=\"13459456\"] \n  11 -> 12 [size =\"13459456\"]\n  12 [size=\"77137920\", alpha=\"0.09\", expect_size=\"30855168\"] \n  12 -> 13 [size =\"30855168\"]\n  13 [size=\"81871360\", alpha=\"0.19\", expect_size=\"32748544\"] \n  13 -> 14 [size =\"32748544\"]\n  13 -> 15 [size =\"32748544\"]\n  14 [size=\"101550080\", alpha=\"0.02\", expect_size=\"40620032\"] \n  14 -> 17 [size =\"40620032\"]\n  15 [size=\"54400000\", alpha=\"0.00\", expect_size=\"21760000\"] \n  15 -> 16 [size =\"21760000\"]\n  15 -> 17 [size =\"21760000\"]\n  16 [size=\"106585600\", alpha=\"0.06\", expect_size=\"42634240\"] \n  16 -> 18 [size =\"42634240\"]\n  16 -> 19 [size =\"42634240\"]\n  17 [size=\"36992000\", alpha=\"0.05\", expect_size=\"14796800\"] \n  17 -> 19 [size =\"14796800\"]\n  18 [size=\"18109440\", alpha=\"0.07\", expect_size=\"7243776\"] \n  19 [size=\"115351040\", alpha=\"0.15\", expect_size=\"46140416\"] \n  19 -> 20 [size =\"46140416\"]\n  20 [size=\"127331840\", alpha=\"0.04\", expect_size=\"50932736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103421440\", alpha=\"0.00\", expect_size=\"41368576\"] \n  1 -> 17 [size =\"41368576\"]\n  1 -> 20 [size =\"41368576\"]\n  2 [size=\"82531840\", alpha=\"0.05\", expect_size=\"33012736\"] \n  2 -> 17 [size =\"33012736\"]\n  2 -> 19 [size =\"33012736\"]\n  2 -> 20 [size =\"33012736\"]\n  3 [size=\"64458240\", alpha=\"0.03\", expect_size=\"25783296\"] \n  3 -> 20 [size =\"25783296\"]\n  4 [size=\"109562880\", alpha=\"0.18\", expect_size=\"43825152\"] \n  4 -> 18 [size =\"43825152\"]\n  4 -> 20 [size =\"43825152\"]\n  5 [size=\"84433920\", alpha=\"0.14\", expect_size=\"33773568\"] \n  5 -> 18 [size =\"33773568\"]\n  6 [size=\"63160320\", alpha=\"0.17\", expect_size=\"25264128\"] \n  6 -> 18 [size =\"25264128\"]\n  6 -> 20 [size =\"25264128\"]\n  7 [size=\"22366720\", alpha=\"0.11\", expect_size=\"8946688\"] \n  7 -> 17 [size =\"8946688\"]\n  8 [size=\"58897920\", alpha=\"0.01\", expect_size=\"23559168\"] \n  8 -> 18 [size =\"23559168\"]\n  9 [size=\"94538240\", alpha=\"0.02\", expect_size=\"37815296\"] \n  10 [size=\"35937280\", alpha=\"0.16\", expect_size=\"14374912\"] \n  10 -> 20 [size =\"14374912\"]\n  11 [size=\"118558720\", alpha=\"0.17\", expect_size=\"47423488\"] \n  11 -> 17 [size =\"47423488\"]\n  11 -> 20 [size =\"47423488\"]\n  12 [size=\"119247360\", alpha=\"0.01\", expect_size=\"47698944\"] \n  13 [size=\"28116480\", alpha=\"0.10\", expect_size=\"11246592\"] \n  13 -> 20 [size =\"11246592\"]\n  14 [size=\"44556800\", alpha=\"0.11\", expect_size=\"17822720\"] \n  14 -> 18 [size =\"17822720\"]\n  14 -> 19 [size =\"17822720\"]\n  15 [size=\"31992320\", alpha=\"0.01\", expect_size=\"12796928\"] \n  16 [size=\"117260800\", alpha=\"0.19\", expect_size=\"46904320\"] \n  16 -> 20 [size =\"46904320\"]\n  17 [size=\"99955200\", alpha=\"0.00\", expect_size=\"39982080\"] \n  18 [size=\"48081920\", alpha=\"0.03\", expect_size=\"19232768\"] \n  19 [size=\"53360640\", alpha=\"0.09\", expect_size=\"21344256\"] \n  20 [size=\"66455040\", alpha=\"0.19\", expect_size=\"26582016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108641280\", alpha=\"0.12\", expect_size=\"43456512\"] \n  1 -> 4 [size =\"43456512\"]\n  1 -> 5 [size =\"43456512\"]\n  1 -> 6 [size =\"43456512\"]\n  2 [size=\"30709760\", alpha=\"0.07\", expect_size=\"12283904\"] \n  2 -> 4 [size =\"12283904\"]\n  2 -> 5 [size =\"12283904\"]\n  3 [size=\"129456640\", alpha=\"0.18\", expect_size=\"51782656\"] \n  3 -> 5 [size =\"51782656\"]\n  4 [size=\"21762560\", alpha=\"0.05\", expect_size=\"8705024\"] \n  4 -> 7 [size =\"8705024\"]\n  4 -> 8 [size =\"8705024\"]\n  4 -> 9 [size =\"8705024\"]\n  5 [size=\"32212480\", alpha=\"0.04\", expect_size=\"12884992\"] \n  5 -> 7 [size =\"12884992\"]\n  5 -> 8 [size =\"12884992\"]\n  5 -> 9 [size =\"12884992\"]\n  6 [size=\"65963520\", alpha=\"0.02\", expect_size=\"26385408\"] \n  6 -> 9 [size =\"26385408\"]\n  7 [size=\"69985280\", alpha=\"0.13\", expect_size=\"27994112\"] \n  7 -> 11 [size =\"27994112\"]\n  7 -> 12 [size =\"27994112\"]\n  8 [size=\"104030720\", alpha=\"0.14\", expect_size=\"41612288\"] \n  8 -> 11 [size =\"41612288\"]\n  8 -> 12 [size =\"41612288\"]\n  9 [size=\"32478720\", alpha=\"0.01\", expect_size=\"12991488\"] \n  9 -> 10 [size =\"12991488\"]\n  9 -> 11 [size =\"12991488\"]\n  9 -> 12 [size =\"12991488\"]\n  10 [size=\"56204800\", alpha=\"0.12\", expect_size=\"22481920\"] \n  11 [size=\"105448960\", alpha=\"0.02\", expect_size=\"42179584\"] \n  11 -> 13 [size =\"42179584\"]\n  11 -> 15 [size =\"42179584\"]\n  12 [size=\"58588160\", alpha=\"0.15\", expect_size=\"23435264\"] \n  12 -> 13 [size =\"23435264\"]\n  12 -> 14 [size =\"23435264\"]\n  12 -> 15 [size =\"23435264\"]\n  13 [size=\"99763200\", alpha=\"0.17\", expect_size=\"39905280\"] \n  13 -> 16 [size =\"39905280\"]\n  13 -> 19 [size =\"39905280\"]\n  14 [size=\"86461440\", alpha=\"0.05\", expect_size=\"34584576\"] \n  14 -> 18 [size =\"34584576\"]\n  15 [size=\"117240320\", alpha=\"0.19\", expect_size=\"46896128\"] \n  15 -> 17 [size =\"46896128\"]\n  15 -> 18 [size =\"46896128\"]\n  16 [size=\"19988480\", alpha=\"0.02\", expect_size=\"7995392\"] \n  16 -> 20 [size =\"7995392\"]\n  17 [size=\"29104640\", alpha=\"0.03\", expect_size=\"11641856\"] \n  18 [size=\"103608320\", alpha=\"0.09\", expect_size=\"41443328\"] \n  19 [size=\"68449280\", alpha=\"0.15\", expect_size=\"27379712\"] \n  19 -> 20 [size =\"27379712\"]\n  20 [size=\"76241920\", alpha=\"0.09\", expect_size=\"30496768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90681344\", alpha=\"0.09\", expect_size=\"45340672\"] \n  1 -> 8 [size =\"45340672\"]\n  1 -> 10 [size =\"45340672\"]\n  2 [size=\"24614912\", alpha=\"0.13\", expect_size=\"12307456\"] \n  2 -> 8 [size =\"12307456\"]\n  2 -> 9 [size =\"12307456\"]\n  2 -> 12 [size =\"12307456\"]\n  2 -> 13 [size =\"12307456\"]\n  3 [size=\"37328896\", alpha=\"0.09\", expect_size=\"18664448\"] \n  3 -> 8 [size =\"18664448\"]\n  3 -> 12 [size =\"18664448\"]\n  4 [size=\"73396224\", alpha=\"0.12\", expect_size=\"36698112\"] \n  4 -> 9 [size =\"36698112\"]\n  5 [size=\"88305664\", alpha=\"0.20\", expect_size=\"44152832\"] \n  5 -> 7 [size =\"44152832\"]\n  5 -> 8 [size =\"44152832\"]\n  5 -> 9 [size =\"44152832\"]\n  5 -> 10 [size =\"44152832\"]\n  5 -> 11 [size =\"44152832\"]\n  5 -> 12 [size =\"44152832\"]\n  6 [size=\"26462208\", alpha=\"0.18\", expect_size=\"13231104\"] \n  6 -> 7 [size =\"13231104\"]\n  6 -> 8 [size =\"13231104\"]\n  6 -> 9 [size =\"13231104\"]\n  7 [size=\"86990848\", alpha=\"0.18\", expect_size=\"43495424\"] \n  7 -> 15 [size =\"43495424\"]\n  7 -> 16 [size =\"43495424\"]\n  7 -> 17 [size =\"43495424\"]\n  7 -> 19 [size =\"43495424\"]\n  7 -> 20 [size =\"43495424\"]\n  8 [size=\"16963584\", alpha=\"0.01\", expect_size=\"8481792\"] \n  8 -> 14 [size =\"8481792\"]\n  8 -> 17 [size =\"8481792\"]\n  9 [size=\"16279552\", alpha=\"0.19\", expect_size=\"8139776\"] \n  9 -> 14 [size =\"8139776\"]\n  9 -> 16 [size =\"8139776\"]\n  9 -> 17 [size =\"8139776\"]\n  9 -> 19 [size =\"8139776\"]\n  10 [size=\"55855104\", alpha=\"0.06\", expect_size=\"27927552\"] \n  10 -> 14 [size =\"27927552\"]\n  10 -> 15 [size =\"27927552\"]\n  10 -> 16 [size =\"27927552\"]\n  10 -> 18 [size =\"27927552\"]\n  10 -> 19 [size =\"27927552\"]\n  10 -> 20 [size =\"27927552\"]\n  11 [size=\"53858304\", alpha=\"0.01\", expect_size=\"26929152\"] \n  11 -> 14 [size =\"26929152\"]\n  12 [size=\"98684928\", alpha=\"0.09\", expect_size=\"49342464\"] \n  12 -> 14 [size =\"49342464\"]\n  12 -> 16 [size =\"49342464\"]\n  13 [size=\"66701312\", alpha=\"0.03\", expect_size=\"33350656\"] \n  13 -> 15 [size =\"33350656\"]\n  13 -> 16 [size =\"33350656\"]\n  13 -> 20 [size =\"33350656\"]\n  14 [size=\"16668672\", alpha=\"0.05\", expect_size=\"8334336\"] \n  15 [size=\"71079936\", alpha=\"0.04\", expect_size=\"35539968\"] \n  16 [size=\"69945344\", alpha=\"0.14\", expect_size=\"34972672\"] \n  17 [size=\"58224640\", alpha=\"0.02\", expect_size=\"29112320\"] \n  18 [size=\"47091712\", alpha=\"0.11\", expect_size=\"23545856\"] \n  19 [size=\"50915328\", alpha=\"0.01\", expect_size=\"25457664\"] \n  20 [size=\"47337472\", alpha=\"0.13\", expect_size=\"23668736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78576640\", alpha=\"0.06\", expect_size=\"31430656\"] \n  1 -> 2 [size =\"31430656\"]\n  2 [size=\"14392320\", alpha=\"0.07\", expect_size=\"5756928\"] \n  2 -> 3 [size =\"5756928\"]\n  2 -> 4 [size =\"5756928\"]\n  3 [size=\"73733120\", alpha=\"0.06\", expect_size=\"29493248\"] \n  3 -> 6 [size =\"29493248\"]\n  4 [size=\"85836800\", alpha=\"0.18\", expect_size=\"34334720\"] \n  4 -> 5 [size =\"34334720\"]\n  4 -> 6 [size =\"34334720\"]\n  5 [size=\"125283840\", alpha=\"0.03\", expect_size=\"50113536\"] \n  5 -> 7 [size =\"50113536\"]\n  5 -> 8 [size =\"50113536\"]\n  6 [size=\"81415680\", alpha=\"0.10\", expect_size=\"32566272\"] \n  6 -> 7 [size =\"32566272\"]\n  6 -> 8 [size =\"32566272\"]\n  7 [size=\"102574080\", alpha=\"0.10\", expect_size=\"41029632\"] \n  7 -> 9 [size =\"41029632\"]\n  8 [size=\"56634880\", alpha=\"0.07\", expect_size=\"22653952\"] \n  8 -> 9 [size =\"22653952\"]\n  9 [size=\"115417600\", alpha=\"0.06\", expect_size=\"46167040\"] \n  9 -> 10 [size =\"46167040\"]\n  9 -> 11 [size =\"46167040\"]\n  10 [size=\"79664640\", alpha=\"0.15\", expect_size=\"31865856\"] \n  10 -> 12 [size =\"31865856\"]\n  11 [size=\"44866560\", alpha=\"0.10\", expect_size=\"17946624\"] \n  11 -> 12 [size =\"17946624\"]\n  12 [size=\"81850880\", alpha=\"0.01\", expect_size=\"32740352\"] \n  12 -> 13 [size =\"32740352\"]\n  13 [size=\"120258560\", alpha=\"0.19\", expect_size=\"48103424\"] \n  13 -> 14 [size =\"48103424\"]\n  13 -> 15 [size =\"48103424\"]\n  14 [size=\"35164160\", alpha=\"0.10\", expect_size=\"14065664\"] \n  14 -> 16 [size =\"14065664\"]\n  14 -> 17 [size =\"14065664\"]\n  15 [size=\"26001920\", alpha=\"0.19\", expect_size=\"10400768\"] \n  15 -> 16 [size =\"10400768\"]\n  15 -> 17 [size =\"10400768\"]\n  16 [size=\"45831680\", alpha=\"0.03\", expect_size=\"18332672\"] \n  16 -> 18 [size =\"18332672\"]\n  17 [size=\"104834560\", alpha=\"0.18\", expect_size=\"41933824\"] \n  17 -> 18 [size =\"41933824\"]\n  18 [size=\"44413440\", alpha=\"0.02\", expect_size=\"17765376\"] \n  18 -> 19 [size =\"17765376\"]\n  19 [size=\"86492160\", alpha=\"0.12\", expect_size=\"34596864\"] \n  19 -> 20 [size =\"34596864\"]\n  20 [size=\"122711040\", alpha=\"0.07\", expect_size=\"49084416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66003627\", alpha=\"0.13\", expect_size=\"19801088\"] \n  1 -> 3 [size =\"19801088\"]\n  2 [size=\"123962027\", alpha=\"0.09\", expect_size=\"37188608\"] \n  2 -> 3 [size =\"37188608\"]\n  3 [size=\"119705600\", alpha=\"0.00\", expect_size=\"35911680\"] \n  3 -> 4 [size =\"35911680\"]\n  3 -> 5 [size =\"35911680\"]\n  4 [size=\"125286400\", alpha=\"0.10\", expect_size=\"37585920\"] \n  4 -> 6 [size =\"37585920\"]\n  4 -> 7 [size =\"37585920\"]\n  5 [size=\"77677227\", alpha=\"0.07\", expect_size=\"23303168\"] \n  5 -> 6 [size =\"23303168\"]\n  5 -> 7 [size =\"23303168\"]\n  6 [size=\"73427627\", alpha=\"0.09\", expect_size=\"22028288\"] \n  6 -> 9 [size =\"22028288\"]\n  7 [size=\"159873707\", alpha=\"0.02\", expect_size=\"47962112\"] \n  7 -> 8 [size =\"47962112\"]\n  8 [size=\"101488640\", alpha=\"0.19\", expect_size=\"30446592\"] \n  8 -> 10 [size =\"30446592\"]\n  8 -> 11 [size =\"30446592\"]\n  9 [size=\"115961173\", alpha=\"0.07\", expect_size=\"34788352\"] \n  9 -> 11 [size =\"34788352\"]\n  10 [size=\"134966613\", alpha=\"0.19\", expect_size=\"40489984\"] \n  10 -> 12 [size =\"40489984\"]\n  11 [size=\"19985067\", alpha=\"0.00\", expect_size=\"5995520\"] \n  12 [size=\"123709440\", alpha=\"0.01\", expect_size=\"37112832\"] \n  12 -> 13 [size =\"37112832\"]\n  12 -> 14 [size =\"37112832\"]\n  13 [size=\"35252907\", alpha=\"0.14\", expect_size=\"10575872\"] \n  13 -> 15 [size =\"10575872\"]\n  14 [size=\"38693547\", alpha=\"0.01\", expect_size=\"11608064\"] \n  14 -> 15 [size =\"11608064\"]\n  15 [size=\"114165760\", alpha=\"0.08\", expect_size=\"34249728\"] \n  15 -> 16 [size =\"34249728\"]\n  16 [size=\"166737920\", alpha=\"0.12\", expect_size=\"50021376\"] \n  16 -> 17 [size =\"50021376\"]\n  17 [size=\"77595307\", alpha=\"0.17\", expect_size=\"23278592\"] \n  17 -> 18 [size =\"23278592\"]\n  17 -> 19 [size =\"23278592\"]\n  18 [size=\"96395947\", alpha=\"0.00\", expect_size=\"28918784\"] \n  18 -> 20 [size =\"28918784\"]\n  19 [size=\"92299947\", alpha=\"0.16\", expect_size=\"27689984\"] \n  19 -> 20 [size =\"27689984\"]\n  20 [size=\"147725653\", alpha=\"0.15\", expect_size=\"44317696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63563093\", alpha=\"0.02\", expect_size=\"19068928\"] \n  1 -> 2 [size =\"19068928\"]\n  2 [size=\"31433387\", alpha=\"0.07\", expect_size=\"9430016\"] \n  2 -> 3 [size =\"9430016\"]\n  3 [size=\"60808533\", alpha=\"0.01\", expect_size=\"18242560\"] \n  3 -> 4 [size =\"18242560\"]\n  4 [size=\"146032640\", alpha=\"0.16\", expect_size=\"43809792\"] \n  4 -> 5 [size =\"43809792\"]\n  5 [size=\"40448000\", alpha=\"0.11\", expect_size=\"12134400\"] \n  5 -> 6 [size =\"12134400\"]\n  6 [size=\"173093547\", alpha=\"0.17\", expect_size=\"51928064\"] \n  6 -> 7 [size =\"51928064\"]\n  7 [size=\"43270827\", alpha=\"0.13\", expect_size=\"12981248\"] \n  7 -> 8 [size =\"12981248\"]\n  8 [size=\"158167040\", alpha=\"0.04\", expect_size=\"47450112\"] \n  8 -> 9 [size =\"47450112\"]\n  9 [size=\"64935253\", alpha=\"0.16\", expect_size=\"19480576\"] \n  9 -> 10 [size =\"19480576\"]\n  10 [size=\"149009067\", alpha=\"0.02\", expect_size=\"44702720\"] \n  10 -> 11 [size =\"44702720\"]\n  11 [size=\"143800320\", alpha=\"0.15\", expect_size=\"43140096\"] \n  11 -> 12 [size =\"43140096\"]\n  12 [size=\"156866560\", alpha=\"0.03\", expect_size=\"47059968\"] \n  12 -> 13 [size =\"47059968\"]\n  13 [size=\"51776853\", alpha=\"0.08\", expect_size=\"15533056\"] \n  13 -> 14 [size =\"15533056\"]\n  14 [size=\"56412160\", alpha=\"0.01\", expect_size=\"16923648\"] \n  14 -> 15 [size =\"16923648\"]\n  15 [size=\"23947947\", alpha=\"0.09\", expect_size=\"7184384\"] \n  15 -> 16 [size =\"7184384\"]\n  16 [size=\"112022187\", alpha=\"0.04\", expect_size=\"33606656\"] \n  16 -> 17 [size =\"33606656\"]\n  17 [size=\"91702613\", alpha=\"0.09\", expect_size=\"27510784\"] \n  17 -> 18 [size =\"27510784\"]\n  18 [size=\"37782187\", alpha=\"0.12\", expect_size=\"11334656\"] \n  18 -> 19 [size =\"11334656\"]\n  19 [size=\"73038507\", alpha=\"0.05\", expect_size=\"21911552\"] \n  19 -> 20 [size =\"21911552\"]\n  20 [size=\"41171627\", alpha=\"0.09\", expect_size=\"12351488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76062720\", alpha=\"0.02\", expect_size=\"30425088\"] \n  1 -> 5 [size =\"30425088\"]\n  1 -> 6 [size =\"30425088\"]\n  2 [size=\"67010560\", alpha=\"0.05\", expect_size=\"26804224\"] \n  2 -> 4 [size =\"26804224\"]\n  2 -> 6 [size =\"26804224\"]\n  3 [size=\"56926720\", alpha=\"0.10\", expect_size=\"22770688\"] \n  4 [size=\"71526400\", alpha=\"0.12\", expect_size=\"28610560\"] \n  4 -> 7 [size =\"28610560\"]\n  4 -> 9 [size =\"28610560\"]\n  4 -> 10 [size =\"28610560\"]\n  5 [size=\"96611840\", alpha=\"0.19\", expect_size=\"38644736\"] \n  5 -> 10 [size =\"38644736\"]\n  6 [size=\"99983360\", alpha=\"0.17\", expect_size=\"39993344\"] \n  6 -> 8 [size =\"39993344\"]\n  6 -> 9 [size =\"39993344\"]\n  7 [size=\"59850240\", alpha=\"0.14\", expect_size=\"23940096\"] \n  7 -> 11 [size =\"23940096\"]\n  7 -> 12 [size =\"23940096\"]\n  8 [size=\"26647040\", alpha=\"0.09\", expect_size=\"10658816\"] \n  8 -> 12 [size =\"10658816\"]\n  9 [size=\"59883520\", alpha=\"0.12\", expect_size=\"23953408\"] \n  10 [size=\"47802880\", alpha=\"0.07\", expect_size=\"19121152\"] \n  10 -> 13 [size =\"19121152\"]\n  11 [size=\"16975360\", alpha=\"0.02\", expect_size=\"6790144\"] \n  11 -> 17 [size =\"6790144\"]\n  12 [size=\"28958720\", alpha=\"0.17\", expect_size=\"11583488\"] \n  12 -> 14 [size =\"11583488\"]\n  12 -> 15 [size =\"11583488\"]\n  13 [size=\"59737600\", alpha=\"0.07\", expect_size=\"23895040\"] \n  13 -> 14 [size =\"23895040\"]\n  13 -> 16 [size =\"23895040\"]\n  14 [size=\"119247360\", alpha=\"0.15\", expect_size=\"47698944\"] \n  14 -> 18 [size =\"47698944\"]\n  14 -> 20 [size =\"47698944\"]\n  15 [size=\"71605760\", alpha=\"0.01\", expect_size=\"28642304\"] \n  15 -> 19 [size =\"28642304\"]\n  16 [size=\"65408000\", alpha=\"0.11\", expect_size=\"26163200\"] \n  16 -> 20 [size =\"26163200\"]\n  17 [size=\"46789120\", alpha=\"0.17\", expect_size=\"18715648\"] \n  17 -> 18 [size =\"18715648\"]\n  18 [size=\"130291200\", alpha=\"0.01\", expect_size=\"52116480\"] \n  19 [size=\"66536960\", alpha=\"0.15\", expect_size=\"26614784\"] \n  20 [size=\"21265920\", alpha=\"0.17\", expect_size=\"8506368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146128213\", alpha=\"0.10\", expect_size=\"43838464\"] \n  1 -> 2 [size =\"43838464\"]\n  2 [size=\"79977813\", alpha=\"0.16\", expect_size=\"23993344\"] \n  2 -> 3 [size =\"23993344\"]\n  3 [size=\"130611200\", alpha=\"0.07\", expect_size=\"39183360\"] \n  3 -> 4 [size =\"39183360\"]\n  4 [size=\"69686613\", alpha=\"0.10\", expect_size=\"20905984\"] \n  4 -> 5 [size =\"20905984\"]\n  4 -> 6 [size =\"20905984\"]\n  5 [size=\"72383147\", alpha=\"0.00\", expect_size=\"21714944\"] \n  5 -> 7 [size =\"21714944\"]\n  6 [size=\"100184747\", alpha=\"0.03\", expect_size=\"30055424\"] \n  7 [size=\"140980907\", alpha=\"0.05\", expect_size=\"42294272\"] \n  7 -> 8 [size =\"42294272\"]\n  7 -> 9 [size =\"42294272\"]\n  8 [size=\"77428053\", alpha=\"0.05\", expect_size=\"23228416\"] \n  8 -> 10 [size =\"23228416\"]\n  9 [size=\"83182933\", alpha=\"0.12\", expect_size=\"24954880\"] \n  9 -> 10 [size =\"24954880\"]\n  9 -> 11 [size =\"24954880\"]\n  10 [size=\"123815253\", alpha=\"0.19\", expect_size=\"37144576\"] \n  10 -> 12 [size =\"37144576\"]\n  11 [size=\"158904320\", alpha=\"0.01\", expect_size=\"47671296\"] \n  12 [size=\"80872107\", alpha=\"0.06\", expect_size=\"24261632\"] \n  12 -> 13 [size =\"24261632\"]\n  13 [size=\"50619733\", alpha=\"0.02\", expect_size=\"15185920\"] \n  13 -> 14 [size =\"15185920\"]\n  13 -> 15 [size =\"15185920\"]\n  14 [size=\"103239680\", alpha=\"0.13\", expect_size=\"30971904\"] \n  15 [size=\"26050560\", alpha=\"0.03\", expect_size=\"7815168\"] \n  15 -> 16 [size =\"7815168\"]\n  16 [size=\"26166613\", alpha=\"0.20\", expect_size=\"7849984\"] \n  16 -> 17 [size =\"7849984\"]\n  17 [size=\"51036160\", alpha=\"0.16\", expect_size=\"15310848\"] \n  17 -> 18 [size =\"15310848\"]\n  18 [size=\"87900160\", alpha=\"0.05\", expect_size=\"26370048\"] \n  18 -> 19 [size =\"26370048\"]\n  19 [size=\"128150187\", alpha=\"0.10\", expect_size=\"38445056\"] \n  19 -> 20 [size =\"38445056\"]\n  20 [size=\"64283307\", alpha=\"0.03\", expect_size=\"19284992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27796480\", alpha=\"0.08\", expect_size=\"11118592\"] \n  1 -> 3 [size =\"11118592\"]\n  1 -> 4 [size =\"11118592\"]\n  2 [size=\"104245760\", alpha=\"0.12\", expect_size=\"41698304\"] \n  2 -> 3 [size =\"41698304\"]\n  2 -> 4 [size =\"41698304\"]\n  3 [size=\"87142400\", alpha=\"0.07\", expect_size=\"34856960\"] \n  3 -> 5 [size =\"34856960\"]\n  4 [size=\"61440000\", alpha=\"0.17\", expect_size=\"24576000\"] \n  4 -> 5 [size =\"24576000\"]\n  5 [size=\"103577600\", alpha=\"0.10\", expect_size=\"41431040\"] \n  5 -> 6 [size =\"41431040\"]\n  6 [size=\"121676800\", alpha=\"0.03\", expect_size=\"48670720\"] \n  6 -> 7 [size =\"48670720\"]\n  7 [size=\"86423040\", alpha=\"0.03\", expect_size=\"34569216\"] \n  7 -> 8 [size =\"34569216\"]\n  7 -> 9 [size =\"34569216\"]\n  8 [size=\"92454400\", alpha=\"0.17\", expect_size=\"36981760\"] \n  9 [size=\"123166720\", alpha=\"0.11\", expect_size=\"49266688\"] \n  9 -> 10 [size =\"49266688\"]\n  10 [size=\"20753920\", alpha=\"0.03\", expect_size=\"8301568\"] \n  10 -> 11 [size =\"8301568\"]\n  10 -> 12 [size =\"8301568\"]\n  11 [size=\"42081280\", alpha=\"0.03\", expect_size=\"16832512\"] \n  12 [size=\"91934720\", alpha=\"0.16\", expect_size=\"36773888\"] \n  12 -> 13 [size =\"36773888\"]\n  12 -> 14 [size =\"36773888\"]\n  13 [size=\"45250560\", alpha=\"0.18\", expect_size=\"18100224\"] \n  13 -> 15 [size =\"18100224\"]\n  14 [size=\"87365120\", alpha=\"0.20\", expect_size=\"34946048\"] \n  14 -> 15 [size =\"34946048\"]\n  15 [size=\"72048640\", alpha=\"0.13\", expect_size=\"28819456\"] \n  15 -> 16 [size =\"28819456\"]\n  15 -> 17 [size =\"28819456\"]\n  16 [size=\"15859200\", alpha=\"0.05\", expect_size=\"6343680\"] \n  16 -> 19 [size =\"6343680\"]\n  17 [size=\"33584640\", alpha=\"0.17\", expect_size=\"13433856\"] \n  17 -> 18 [size =\"13433856\"]\n  17 -> 19 [size =\"13433856\"]\n  18 [size=\"52188160\", alpha=\"0.11\", expect_size=\"20875264\"] \n  19 [size=\"33733120\", alpha=\"0.02\", expect_size=\"13493248\"] \n  19 -> 20 [size =\"13493248\"]\n  20 [size=\"100116480\", alpha=\"0.08\", expect_size=\"40046592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88238080\", alpha=\"0.06\", expect_size=\"44119040\"] \n  1 -> 5 [size =\"44119040\"]\n  1 -> 6 [size =\"44119040\"]\n  2 [size=\"96276480\", alpha=\"0.04\", expect_size=\"48138240\"] \n  2 -> 4 [size =\"48138240\"]\n  2 -> 5 [size =\"48138240\"]\n  2 -> 6 [size =\"48138240\"]\n  3 [size=\"55005184\", alpha=\"0.13\", expect_size=\"27502592\"] \n  3 -> 4 [size =\"27502592\"]\n  3 -> 5 [size =\"27502592\"]\n  3 -> 6 [size =\"27502592\"]\n  4 [size=\"72247296\", alpha=\"0.09\", expect_size=\"36123648\"] \n  5 [size=\"33007616\", alpha=\"0.16\", expect_size=\"16503808\"] \n  6 [size=\"41541632\", alpha=\"0.14\", expect_size=\"20770816\"] \n  6 -> 7 [size =\"20770816\"]\n  6 -> 8 [size =\"20770816\"]\n  7 [size=\"15218688\", alpha=\"0.02\", expect_size=\"7609344\"] \n  7 -> 9 [size =\"7609344\"]\n  7 -> 10 [size =\"7609344\"]\n  8 [size=\"31172608\", alpha=\"0.10\", expect_size=\"15586304\"] \n  8 -> 9 [size =\"15586304\"]\n  8 -> 10 [size =\"15586304\"]\n  9 [size=\"60454912\", alpha=\"0.14\", expect_size=\"30227456\"] \n  9 -> 11 [size =\"30227456\"]\n  9 -> 12 [size =\"30227456\"]\n  9 -> 13 [size =\"30227456\"]\n  10 [size=\"103020544\", alpha=\"0.04\", expect_size=\"51510272\"] \n  10 -> 11 [size =\"51510272\"]\n  10 -> 12 [size =\"51510272\"]\n  10 -> 13 [size =\"51510272\"]\n  11 [size=\"50993152\", alpha=\"0.19\", expect_size=\"25496576\"] \n  11 -> 14 [size =\"25496576\"]\n  11 -> 15 [size =\"25496576\"]\n  12 [size=\"78526464\", alpha=\"0.19\", expect_size=\"39263232\"] \n  12 -> 14 [size =\"39263232\"]\n  13 [size=\"99563520\", alpha=\"0.16\", expect_size=\"49781760\"] \n  13 -> 14 [size =\"49781760\"]\n  14 [size=\"64630784\", alpha=\"0.05\", expect_size=\"32315392\"] \n  14 -> 17 [size =\"32315392\"]\n  15 [size=\"12195840\", alpha=\"0.04\", expect_size=\"6097920\"] \n  15 -> 16 [size =\"6097920\"]\n  15 -> 17 [size =\"6097920\"]\n  15 -> 18 [size =\"6097920\"]\n  16 [size=\"88381440\", alpha=\"0.01\", expect_size=\"44190720\"] \n  16 -> 19 [size =\"44190720\"]\n  16 -> 20 [size =\"44190720\"]\n  17 [size=\"61585408\", alpha=\"0.19\", expect_size=\"30792704\"] \n  17 -> 19 [size =\"30792704\"]\n  17 -> 20 [size =\"30792704\"]\n  18 [size=\"70471680\", alpha=\"0.16\", expect_size=\"35235840\"] \n  18 -> 19 [size =\"35235840\"]\n  19 [size=\"24209408\", alpha=\"0.15\", expect_size=\"12104704\"] \n  20 [size=\"90109952\", alpha=\"0.17\", expect_size=\"45054976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26272427\", alpha=\"0.01\", expect_size=\"7881728\"] \n  1 -> 5 [size =\"7881728\"]\n  2 [size=\"163068587\", alpha=\"0.06\", expect_size=\"48920576\"] \n  3 [size=\"131054933\", alpha=\"0.06\", expect_size=\"39316480\"] \n  3 -> 5 [size =\"39316480\"]\n  3 -> 6 [size =\"39316480\"]\n  3 -> 8 [size =\"39316480\"]\n  4 [size=\"87067307\", alpha=\"0.10\", expect_size=\"26120192\"] \n  4 -> 5 [size =\"26120192\"]\n  4 -> 7 [size =\"26120192\"]\n  4 -> 8 [size =\"26120192\"]\n  5 [size=\"43970560\", alpha=\"0.15\", expect_size=\"13191168\"] \n  6 [size=\"153753600\", alpha=\"0.04\", expect_size=\"46126080\"] \n  7 [size=\"25589760\", alpha=\"0.03\", expect_size=\"7676928\"] \n  7 -> 10 [size =\"7676928\"]\n  8 [size=\"87736320\", alpha=\"0.05\", expect_size=\"26320896\"] \n  8 -> 9 [size =\"26320896\"]\n  9 [size=\"67816107\", alpha=\"0.18\", expect_size=\"20344832\"] \n  9 -> 11 [size =\"20344832\"]\n  9 -> 13 [size =\"20344832\"]\n  9 -> 15 [size =\"20344832\"]\n  10 [size=\"167198720\", alpha=\"0.14\", expect_size=\"50159616\"] \n  10 -> 11 [size =\"50159616\"]\n  10 -> 12 [size =\"50159616\"]\n  10 -> 14 [size =\"50159616\"]\n  10 -> 15 [size =\"50159616\"]\n  11 [size=\"137891840\", alpha=\"0.18\", expect_size=\"41367552\"] \n  11 -> 20 [size =\"41367552\"]\n  12 [size=\"142967467\", alpha=\"0.17\", expect_size=\"42890240\"] \n  12 -> 17 [size =\"42890240\"]\n  13 [size=\"33324373\", alpha=\"0.12\", expect_size=\"9997312\"] \n  13 -> 19 [size =\"9997312\"]\n  14 [size=\"83206827\", alpha=\"0.07\", expect_size=\"24962048\"] \n  14 -> 16 [size =\"24962048\"]\n  14 -> 18 [size =\"24962048\"]\n  15 [size=\"158989653\", alpha=\"0.04\", expect_size=\"47696896\"] \n  15 -> 18 [size =\"47696896\"]\n  16 [size=\"120374613\", alpha=\"0.05\", expect_size=\"36112384\"] \n  17 [size=\"151275520\", alpha=\"0.10\", expect_size=\"45382656\"] \n  18 [size=\"18319360\", alpha=\"0.05\", expect_size=\"5495808\"] \n  19 [size=\"58405547\", alpha=\"0.07\", expect_size=\"17521664\"] \n  20 [size=\"39826773\", alpha=\"0.12\", expect_size=\"11948032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78169600\", alpha=\"0.03\", expect_size=\"31267840\"] \n  1 -> 2 [size =\"31267840\"]\n  2 [size=\"112363520\", alpha=\"0.03\", expect_size=\"44945408\"] \n  2 -> 3 [size =\"44945408\"]\n  3 [size=\"62922240\", alpha=\"0.00\", expect_size=\"25168896\"] \n  3 -> 4 [size =\"25168896\"]\n  4 [size=\"73725440\", alpha=\"0.17\", expect_size=\"29490176\"] \n  4 -> 5 [size =\"29490176\"]\n  5 [size=\"129164800\", alpha=\"0.17\", expect_size=\"51665920\"] \n  5 -> 6 [size =\"51665920\"]\n  6 [size=\"34316800\", alpha=\"0.05\", expect_size=\"13726720\"] \n  6 -> 7 [size =\"13726720\"]\n  7 [size=\"50746880\", alpha=\"0.08\", expect_size=\"20298752\"] \n  7 -> 8 [size =\"20298752\"]\n  8 [size=\"32125440\", alpha=\"0.00\", expect_size=\"12850176\"] \n  8 -> 9 [size =\"12850176\"]\n  9 [size=\"84618240\", alpha=\"0.14\", expect_size=\"33847296\"] \n  9 -> 10 [size =\"33847296\"]\n  10 [size=\"128762880\", alpha=\"0.10\", expect_size=\"51505152\"] \n  10 -> 11 [size =\"51505152\"]\n  11 [size=\"24158720\", alpha=\"0.14\", expect_size=\"9663488\"] \n  11 -> 12 [size =\"9663488\"]\n  12 [size=\"41187840\", alpha=\"0.09\", expect_size=\"16475136\"] \n  12 -> 13 [size =\"16475136\"]\n  13 [size=\"60561920\", alpha=\"0.13\", expect_size=\"24224768\"] \n  13 -> 14 [size =\"24224768\"]\n  14 [size=\"60718080\", alpha=\"0.01\", expect_size=\"24287232\"] \n  14 -> 15 [size =\"24287232\"]\n  15 [size=\"43932160\", alpha=\"0.15\", expect_size=\"17572864\"] \n  15 -> 16 [size =\"17572864\"]\n  16 [size=\"24501760\", alpha=\"0.19\", expect_size=\"9800704\"] \n  16 -> 17 [size =\"9800704\"]\n  17 [size=\"56184320\", alpha=\"0.04\", expect_size=\"22473728\"] \n  17 -> 18 [size =\"22473728\"]\n  18 [size=\"105310720\", alpha=\"0.11\", expect_size=\"42124288\"] \n  18 -> 19 [size =\"42124288\"]\n  19 [size=\"107015680\", alpha=\"0.17\", expect_size=\"42806272\"] \n  19 -> 20 [size =\"42806272\"]\n  20 [size=\"72312320\", alpha=\"0.08\", expect_size=\"28924928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74665984\", alpha=\"0.11\", expect_size=\"37332992\"] \n  1 -> 2 [size =\"37332992\"]\n  2 [size=\"16594944\", alpha=\"0.02\", expect_size=\"8297472\"] \n  2 -> 3 [size =\"8297472\"]\n  3 [size=\"40656896\", alpha=\"0.03\", expect_size=\"20328448\"] \n  3 -> 4 [size =\"20328448\"]\n  4 [size=\"21395456\", alpha=\"0.05\", expect_size=\"10697728\"] \n  4 -> 5 [size =\"10697728\"]\n  5 [size=\"48914432\", alpha=\"0.17\", expect_size=\"24457216\"] \n  5 -> 6 [size =\"24457216\"]\n  6 [size=\"101629952\", alpha=\"0.20\", expect_size=\"50814976\"] \n  6 -> 7 [size =\"50814976\"]\n  7 [size=\"75474944\", alpha=\"0.06\", expect_size=\"37737472\"] \n  7 -> 8 [size =\"37737472\"]\n  8 [size=\"61630464\", alpha=\"0.14\", expect_size=\"30815232\"] \n  8 -> 9 [size =\"30815232\"]\n  9 [size=\"18143232\", alpha=\"0.06\", expect_size=\"9071616\"] \n  9 -> 10 [size =\"9071616\"]\n  10 [size=\"39487488\", alpha=\"0.19\", expect_size=\"19743744\"] \n  10 -> 11 [size =\"19743744\"]\n  11 [size=\"79437824\", alpha=\"0.14\", expect_size=\"39718912\"] \n  11 -> 12 [size =\"39718912\"]\n  12 [size=\"35416064\", alpha=\"0.18\", expect_size=\"17708032\"] \n  12 -> 13 [size =\"17708032\"]\n  13 [size=\"45125632\", alpha=\"0.20\", expect_size=\"22562816\"] \n  13 -> 14 [size =\"22562816\"]\n  14 [size=\"60424192\", alpha=\"0.11\", expect_size=\"30212096\"] \n  14 -> 15 [size =\"30212096\"]\n  15 [size=\"82126848\", alpha=\"0.11\", expect_size=\"41063424\"] \n  15 -> 16 [size =\"41063424\"]\n  16 [size=\"67153920\", alpha=\"0.00\", expect_size=\"33576960\"] \n  16 -> 17 [size =\"33576960\"]\n  17 [size=\"66103296\", alpha=\"0.02\", expect_size=\"33051648\"] \n  17 -> 18 [size =\"33051648\"]\n  18 [size=\"94095360\", alpha=\"0.02\", expect_size=\"47047680\"] \n  18 -> 19 [size =\"47047680\"]\n  19 [size=\"64446464\", alpha=\"0.10\", expect_size=\"32223232\"] \n  19 -> 20 [size =\"32223232\"]\n  20 [size=\"91125760\", alpha=\"0.14\", expect_size=\"45562880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28856320\", alpha=\"0.12\", expect_size=\"8656896\"] \n  1 -> 10 [size =\"8656896\"]\n  1 -> 16 [size =\"8656896\"]\n  1 -> 17 [size =\"8656896\"]\n  2 [size=\"132522667\", alpha=\"0.11\", expect_size=\"39756800\"] \n  2 -> 10 [size =\"39756800\"]\n  3 [size=\"106001067\", alpha=\"0.07\", expect_size=\"31800320\"] \n  3 -> 10 [size =\"31800320\"]\n  3 -> 11 [size =\"31800320\"]\n  3 -> 14 [size =\"31800320\"]\n  3 -> 15 [size =\"31800320\"]\n  3 -> 17 [size =\"31800320\"]\n  4 [size=\"110964053\", alpha=\"0.18\", expect_size=\"33289216\"] \n  4 -> 11 [size =\"33289216\"]\n  5 [size=\"171171840\", alpha=\"0.11\", expect_size=\"51351552\"] \n  5 -> 10 [size =\"51351552\"]\n  5 -> 12 [size =\"51351552\"]\n  5 -> 17 [size =\"51351552\"]\n  6 [size=\"53302613\", alpha=\"0.08\", expect_size=\"15990784\"] \n  6 -> 15 [size =\"15990784\"]\n  6 -> 17 [size =\"15990784\"]\n  7 [size=\"127709867\", alpha=\"0.03\", expect_size=\"38312960\"] \n  7 -> 11 [size =\"38312960\"]\n  7 -> 12 [size =\"38312960\"]\n  7 -> 13 [size =\"38312960\"]\n  7 -> 15 [size =\"38312960\"]\n  7 -> 16 [size =\"38312960\"]\n  8 [size=\"79083520\", alpha=\"0.19\", expect_size=\"23725056\"] \n  8 -> 12 [size =\"23725056\"]\n  8 -> 13 [size =\"23725056\"]\n  8 -> 17 [size =\"23725056\"]\n  9 [size=\"43933013\", alpha=\"0.01\", expect_size=\"13179904\"] \n  9 -> 10 [size =\"13179904\"]\n  9 -> 13 [size =\"13179904\"]\n  9 -> 17 [size =\"13179904\"]\n  10 [size=\"161843200\", alpha=\"0.11\", expect_size=\"48552960\"] \n  10 -> 19 [size =\"48552960\"]\n  10 -> 20 [size =\"48552960\"]\n  11 [size=\"56890027\", alpha=\"0.19\", expect_size=\"17067008\"] \n  11 -> 20 [size =\"17067008\"]\n  12 [size=\"152852480\", alpha=\"0.11\", expect_size=\"45855744\"] \n  12 -> 19 [size =\"45855744\"]\n  13 [size=\"85811200\", alpha=\"0.08\", expect_size=\"25743360\"] \n  13 -> 18 [size =\"25743360\"]\n  14 [size=\"143455573\", alpha=\"0.02\", expect_size=\"43036672\"] \n  14 -> 19 [size =\"43036672\"]\n  15 [size=\"127167147\", alpha=\"0.07\", expect_size=\"38150144\"] \n  16 [size=\"53715627\", alpha=\"0.06\", expect_size=\"16114688\"] \n  16 -> 19 [size =\"16114688\"]\n  17 [size=\"115053227\", alpha=\"0.08\", expect_size=\"34515968\"] \n  17 -> 18 [size =\"34515968\"]\n  18 [size=\"141653333\", alpha=\"0.19\", expect_size=\"42496000\"] \n  19 [size=\"131898027\", alpha=\"0.08\", expect_size=\"39569408\"] \n  20 [size=\"138779307\", alpha=\"0.09\", expect_size=\"41633792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88511147\", alpha=\"0.14\", expect_size=\"26553344\"] \n  1 -> 6 [size =\"26553344\"]\n  1 -> 8 [size =\"26553344\"]\n  1 -> 9 [size =\"26553344\"]\n  2 [size=\"132324693\", alpha=\"0.04\", expect_size=\"39697408\"] \n  2 -> 7 [size =\"39697408\"]\n  2 -> 8 [size =\"39697408\"]\n  2 -> 9 [size =\"39697408\"]\n  3 [size=\"79598933\", alpha=\"0.18\", expect_size=\"23879680\"] \n  3 -> 10 [size =\"23879680\"]\n  4 [size=\"158167040\", alpha=\"0.01\", expect_size=\"47450112\"] \n  4 -> 6 [size =\"47450112\"]\n  4 -> 10 [size =\"47450112\"]\n  5 [size=\"113824427\", alpha=\"0.01\", expect_size=\"34147328\"] \n  5 -> 6 [size =\"34147328\"]\n  6 [size=\"65945600\", alpha=\"0.18\", expect_size=\"19783680\"] \n  6 -> 11 [size =\"19783680\"]\n  6 -> 13 [size =\"19783680\"]\n  6 -> 15 [size =\"19783680\"]\n  7 [size=\"151244800\", alpha=\"0.07\", expect_size=\"45373440\"] \n  7 -> 11 [size =\"45373440\"]\n  8 [size=\"26893653\", alpha=\"0.04\", expect_size=\"8068096\"] \n  8 -> 12 [size =\"8068096\"]\n  9 [size=\"41386667\", alpha=\"0.01\", expect_size=\"12416000\"] \n  9 -> 11 [size =\"12416000\"]\n  9 -> 13 [size =\"12416000\"]\n  9 -> 14 [size =\"12416000\"]\n  10 [size=\"31938560\", alpha=\"0.05\", expect_size=\"9581568\"] \n  11 [size=\"40475307\", alpha=\"0.19\", expect_size=\"12142592\"] \n  12 [size=\"148677973\", alpha=\"0.17\", expect_size=\"44603392\"] \n  13 [size=\"21957973\", alpha=\"0.13\", expect_size=\"6587392\"] \n  13 -> 16 [size =\"6587392\"]\n  14 [size=\"161102507\", alpha=\"0.16\", expect_size=\"48330752\"] \n  14 -> 17 [size =\"48330752\"]\n  15 [size=\"171738453\", alpha=\"0.00\", expect_size=\"51521536\"] \n  15 -> 16 [size =\"51521536\"]\n  16 [size=\"21046613\", alpha=\"0.11\", expect_size=\"6313984\"] \n  16 -> 19 [size =\"6313984\"]\n  17 [size=\"165734400\", alpha=\"0.11\", expect_size=\"49720320\"] \n  17 -> 18 [size =\"49720320\"]\n  18 [size=\"66239147\", alpha=\"0.13\", expect_size=\"19871744\"] \n  18 -> 20 [size =\"19871744\"]\n  19 [size=\"94986240\", alpha=\"0.13\", expect_size=\"28495872\"] \n  20 [size=\"101031253\", alpha=\"0.17\", expect_size=\"30309376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119621120\", alpha=\"0.06\", expect_size=\"47848448\"] \n  1 -> 2 [size =\"47848448\"]\n  2 [size=\"72007680\", alpha=\"0.10\", expect_size=\"28803072\"] \n  2 -> 3 [size =\"28803072\"]\n  3 [size=\"20060160\", alpha=\"0.09\", expect_size=\"8024064\"] \n  3 -> 4 [size =\"8024064\"]\n  3 -> 5 [size =\"8024064\"]\n  4 [size=\"126008320\", alpha=\"0.16\", expect_size=\"50403328\"] \n  5 [size=\"67763200\", alpha=\"0.19\", expect_size=\"27105280\"] \n  5 -> 6 [size =\"27105280\"]\n  5 -> 7 [size =\"27105280\"]\n  6 [size=\"50506240\", alpha=\"0.08\", expect_size=\"20202496\"] \n  7 [size=\"59796480\", alpha=\"0.09\", expect_size=\"23918592\"] \n  7 -> 8 [size =\"23918592\"]\n  7 -> 9 [size =\"23918592\"]\n  8 [size=\"42698240\", alpha=\"0.09\", expect_size=\"17079296\"] \n  8 -> 11 [size =\"17079296\"]\n  9 [size=\"122726400\", alpha=\"0.05\", expect_size=\"49090560\"] \n  9 -> 10 [size =\"49090560\"]\n  10 [size=\"111546880\", alpha=\"0.05\", expect_size=\"44618752\"] \n  11 [size=\"17689600\", alpha=\"0.13\", expect_size=\"7075840\"] \n  11 -> 12 [size =\"7075840\"]\n  12 [size=\"55656960\", alpha=\"0.05\", expect_size=\"22262784\"] \n  12 -> 13 [size =\"22262784\"]\n  12 -> 14 [size =\"22262784\"]\n  13 [size=\"115658240\", alpha=\"0.19\", expect_size=\"46263296\"] \n  13 -> 16 [size =\"46263296\"]\n  14 [size=\"48186880\", alpha=\"0.12\", expect_size=\"19274752\"] \n  14 -> 15 [size =\"19274752\"]\n  15 [size=\"27317760\", alpha=\"0.08\", expect_size=\"10927104\"] \n  15 -> 17 [size =\"10927104\"]\n  15 -> 18 [size =\"10927104\"]\n  16 [size=\"23375360\", alpha=\"0.05\", expect_size=\"9350144\"] \n  17 [size=\"70837760\", alpha=\"0.05\", expect_size=\"28335104\"] \n  18 [size=\"123968000\", alpha=\"0.17\", expect_size=\"49587200\"] \n  18 -> 19 [size =\"49587200\"]\n  19 [size=\"59033600\", alpha=\"0.14\", expect_size=\"23613440\"] \n  19 -> 20 [size =\"23613440\"]\n  20 [size=\"88778240\", alpha=\"0.11\", expect_size=\"35511296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157460480\", alpha=\"0.08\", expect_size=\"47238144\"] \n  1 -> 4 [size =\"47238144\"]\n  2 [size=\"105847467\", alpha=\"0.07\", expect_size=\"31754240\"] \n  3 [size=\"94798507\", alpha=\"0.17\", expect_size=\"28439552\"] \n  3 -> 5 [size =\"28439552\"]\n  4 [size=\"52469760\", alpha=\"0.02\", expect_size=\"15740928\"] \n  4 -> 6 [size =\"15740928\"]\n  5 [size=\"154743467\", alpha=\"0.06\", expect_size=\"46423040\"] \n  5 -> 7 [size =\"46423040\"]\n  6 [size=\"97631573\", alpha=\"0.18\", expect_size=\"29289472\"] \n  6 -> 9 [size =\"29289472\"]\n  6 -> 12 [size =\"29289472\"]\n  7 [size=\"56804693\", alpha=\"0.14\", expect_size=\"17041408\"] \n  7 -> 8 [size =\"17041408\"]\n  7 -> 10 [size =\"17041408\"]\n  7 -> 11 [size =\"17041408\"]\n  8 [size=\"67642027\", alpha=\"0.08\", expect_size=\"20292608\"] \n  8 -> 17 [size =\"20292608\"]\n  9 [size=\"109987840\", alpha=\"0.08\", expect_size=\"32996352\"] \n  9 -> 17 [size =\"32996352\"]\n  10 [size=\"132693333\", alpha=\"0.07\", expect_size=\"39808000\"] \n  10 -> 13 [size =\"39808000\"]\n  10 -> 14 [size =\"39808000\"]\n  10 -> 15 [size =\"39808000\"]\n  10 -> 16 [size =\"39808000\"]\n  11 [size=\"43072853\", alpha=\"0.05\", expect_size=\"12921856\"] \n  11 -> 13 [size =\"12921856\"]\n  11 -> 14 [size =\"12921856\"]\n  11 -> 16 [size =\"12921856\"]\n  12 [size=\"106171733\", alpha=\"0.13\", expect_size=\"31851520\"] \n  12 -> 13 [size =\"31851520\"]\n  12 -> 15 [size =\"31851520\"]\n  12 -> 16 [size =\"31851520\"]\n  12 -> 17 [size =\"31851520\"]\n  13 [size=\"158320640\", alpha=\"0.13\", expect_size=\"47496192\"] \n  13 -> 18 [size =\"47496192\"]\n  13 -> 20 [size =\"47496192\"]\n  14 [size=\"132966400\", alpha=\"0.10\", expect_size=\"39889920\"] \n  15 [size=\"150302720\", alpha=\"0.17\", expect_size=\"45090816\"] \n  15 -> 18 [size =\"45090816\"]\n  16 [size=\"42461867\", alpha=\"0.04\", expect_size=\"12738560\"] \n  16 -> 19 [size =\"12738560\"]\n  17 [size=\"24279040\", alpha=\"0.12\", expect_size=\"7283712\"] \n  17 -> 18 [size =\"7283712\"]\n  17 -> 19 [size =\"7283712\"]\n  18 [size=\"131710293\", alpha=\"0.02\", expect_size=\"39513088\"] \n  19 [size=\"39010987\", alpha=\"0.17\", expect_size=\"11703296\"] \n  20 [size=\"104120320\", alpha=\"0.12\", expect_size=\"31236096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54513664\", alpha=\"0.15\", expect_size=\"27256832\"] \n  1 -> 2 [size =\"27256832\"]\n  2 [size=\"23248896\", alpha=\"0.17\", expect_size=\"11624448\"] \n  2 -> 3 [size =\"11624448\"]\n  3 [size=\"21112832\", alpha=\"0.03\", expect_size=\"10556416\"] \n  3 -> 4 [size =\"10556416\"]\n  4 [size=\"15214592\", alpha=\"0.04\", expect_size=\"7607296\"] \n  4 -> 5 [size =\"7607296\"]\n  5 [size=\"93700096\", alpha=\"0.06\", expect_size=\"46850048\"] \n  5 -> 6 [size =\"46850048\"]\n  6 [size=\"77527040\", alpha=\"0.09\", expect_size=\"38763520\"] \n  6 -> 7 [size =\"38763520\"]\n  7 [size=\"74057728\", alpha=\"0.03\", expect_size=\"37028864\"] \n  7 -> 8 [size =\"37028864\"]\n  8 [size=\"69525504\", alpha=\"0.09\", expect_size=\"34762752\"] \n  8 -> 9 [size =\"34762752\"]\n  9 [size=\"79214592\", alpha=\"0.12\", expect_size=\"39607296\"] \n  9 -> 10 [size =\"39607296\"]\n  10 [size=\"52533248\", alpha=\"0.18\", expect_size=\"26266624\"] \n  10 -> 11 [size =\"26266624\"]\n  11 [size=\"71088128\", alpha=\"0.01\", expect_size=\"35544064\"] \n  11 -> 12 [size =\"35544064\"]\n  12 [size=\"48168960\", alpha=\"0.15\", expect_size=\"24084480\"] \n  12 -> 13 [size =\"24084480\"]\n  13 [size=\"35667968\", alpha=\"0.10\", expect_size=\"17833984\"] \n  13 -> 14 [size =\"17833984\"]\n  14 [size=\"51888128\", alpha=\"0.07\", expect_size=\"25944064\"] \n  14 -> 15 [size =\"25944064\"]\n  15 [size=\"68997120\", alpha=\"0.08\", expect_size=\"34498560\"] \n  15 -> 16 [size =\"34498560\"]\n  16 [size=\"98555904\", alpha=\"0.08\", expect_size=\"49277952\"] \n  16 -> 17 [size =\"49277952\"]\n  17 [size=\"44890112\", alpha=\"0.18\", expect_size=\"22445056\"] \n  17 -> 18 [size =\"22445056\"]\n  18 [size=\"60915712\", alpha=\"0.11\", expect_size=\"30457856\"] \n  18 -> 19 [size =\"30457856\"]\n  19 [size=\"11155456\", alpha=\"0.00\", expect_size=\"5577728\"] \n  19 -> 20 [size =\"5577728\"]\n  20 [size=\"70113280\", alpha=\"0.03\", expect_size=\"35056640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124873387\", alpha=\"0.02\", expect_size=\"37462016\"] \n  2 [size=\"25651200\", alpha=\"0.07\", expect_size=\"7695360\"] \n  2 -> 9 [size =\"7695360\"]\n  3 [size=\"119910400\", alpha=\"0.03\", expect_size=\"35973120\"] \n  3 -> 6 [size =\"35973120\"]\n  3 -> 8 [size =\"35973120\"]\n  4 [size=\"67604480\", alpha=\"0.15\", expect_size=\"20281344\"] \n  4 -> 8 [size =\"20281344\"]\n  4 -> 9 [size =\"20281344\"]\n  5 [size=\"83968000\", alpha=\"0.14\", expect_size=\"25190400\"] \n  5 -> 6 [size =\"25190400\"]\n  5 -> 7 [size =\"25190400\"]\n  6 [size=\"39284053\", alpha=\"0.05\", expect_size=\"11785216\"] \n  6 -> 10 [size =\"11785216\"]\n  7 [size=\"42468693\", alpha=\"0.15\", expect_size=\"12740608\"] \n  7 -> 10 [size =\"12740608\"]\n  7 -> 11 [size =\"12740608\"]\n  7 -> 12 [size =\"12740608\"]\n  8 [size=\"30733653\", alpha=\"0.07\", expect_size=\"9220096\"] \n  8 -> 13 [size =\"9220096\"]\n  9 [size=\"110865067\", alpha=\"0.06\", expect_size=\"33259520\"] \n  9 -> 12 [size =\"33259520\"]\n  9 -> 13 [size =\"33259520\"]\n  10 [size=\"93416107\", alpha=\"0.13\", expect_size=\"28024832\"] \n  10 -> 15 [size =\"28024832\"]\n  10 -> 16 [size =\"28024832\"]\n  11 [size=\"40086187\", alpha=\"0.01\", expect_size=\"12025856\"] \n  11 -> 14 [size =\"12025856\"]\n  11 -> 15 [size =\"12025856\"]\n  12 [size=\"56995840\", alpha=\"0.11\", expect_size=\"17098752\"] \n  12 -> 14 [size =\"17098752\"]\n  13 [size=\"114210133\", alpha=\"0.16\", expect_size=\"34263040\"] \n  14 [size=\"138267307\", alpha=\"0.16\", expect_size=\"41480192\"] \n  14 -> 17 [size =\"41480192\"]\n  14 -> 19 [size =\"41480192\"]\n  15 [size=\"96375467\", alpha=\"0.16\", expect_size=\"28912640\"] \n  15 -> 18 [size =\"28912640\"]\n  16 [size=\"51671040\", alpha=\"0.03\", expect_size=\"15501312\"] \n  16 -> 20 [size =\"15501312\"]\n  17 [size=\"90094933\", alpha=\"0.03\", expect_size=\"27028480\"] \n  18 [size=\"49418240\", alpha=\"0.02\", expect_size=\"14825472\"] \n  19 [size=\"100833280\", alpha=\"0.04\", expect_size=\"30249984\"] \n  20 [size=\"147705173\", alpha=\"0.20\", expect_size=\"44311552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49117867\", alpha=\"0.11\", expect_size=\"14735360\"] \n  2 [size=\"107758933\", alpha=\"0.13\", expect_size=\"32327680\"] \n  2 -> 3 [size =\"32327680\"]\n  2 -> 4 [size =\"32327680\"]\n  3 [size=\"19363840\", alpha=\"0.15\", expect_size=\"5809152\"] \n  3 -> 5 [size =\"5809152\"]\n  4 [size=\"41437867\", alpha=\"0.14\", expect_size=\"12431360\"] \n  4 -> 5 [size =\"12431360\"]\n  5 [size=\"66727253\", alpha=\"0.12\", expect_size=\"20018176\"] \n  5 -> 6 [size =\"20018176\"]\n  5 -> 7 [size =\"20018176\"]\n  6 [size=\"149725867\", alpha=\"0.01\", expect_size=\"44917760\"] \n  6 -> 8 [size =\"44917760\"]\n  7 [size=\"106072747\", alpha=\"0.08\", expect_size=\"31821824\"] \n  7 -> 8 [size =\"31821824\"]\n  8 [size=\"69560320\", alpha=\"0.05\", expect_size=\"20868096\"] \n  8 -> 9 [size =\"20868096\"]\n  8 -> 10 [size =\"20868096\"]\n  9 [size=\"122282667\", alpha=\"0.17\", expect_size=\"36684800\"] \n  10 [size=\"106891947\", alpha=\"0.07\", expect_size=\"32067584\"] \n  10 -> 11 [size =\"32067584\"]\n  11 [size=\"43830613\", alpha=\"0.13\", expect_size=\"13149184\"] \n  11 -> 12 [size =\"13149184\"]\n  12 [size=\"132556800\", alpha=\"0.07\", expect_size=\"39767040\"] \n  12 -> 13 [size =\"39767040\"]\n  12 -> 14 [size =\"39767040\"]\n  13 [size=\"77479253\", alpha=\"0.09\", expect_size=\"23243776\"] \n  13 -> 15 [size =\"23243776\"]\n  13 -> 16 [size =\"23243776\"]\n  14 [size=\"35358720\", alpha=\"0.06\", expect_size=\"10607616\"] \n  15 [size=\"141646507\", alpha=\"0.17\", expect_size=\"42493952\"] \n  15 -> 17 [size =\"42493952\"]\n  16 [size=\"80343040\", alpha=\"0.10\", expect_size=\"24102912\"] \n  17 [size=\"90388480\", alpha=\"0.17\", expect_size=\"27116544\"] \n  17 -> 18 [size =\"27116544\"]\n  18 [size=\"156668587\", alpha=\"0.08\", expect_size=\"47000576\"] \n  18 -> 19 [size =\"47000576\"]\n  18 -> 20 [size =\"47000576\"]\n  19 [size=\"36809387\", alpha=\"0.19\", expect_size=\"11042816\"] \n  20 [size=\"172806827\", alpha=\"0.20\", expect_size=\"51842048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82143232\", alpha=\"0.11\", expect_size=\"41071616\"] \n  1 -> 2 [size =\"41071616\"]\n  2 [size=\"69318656\", alpha=\"0.06\", expect_size=\"34659328\"] \n  2 -> 3 [size =\"34659328\"]\n  3 [size=\"53487616\", alpha=\"0.01\", expect_size=\"26743808\"] \n  3 -> 4 [size =\"26743808\"]\n  4 [size=\"39710720\", alpha=\"0.20\", expect_size=\"19855360\"] \n  4 -> 5 [size =\"19855360\"]\n  5 [size=\"38203392\", alpha=\"0.18\", expect_size=\"19101696\"] \n  5 -> 6 [size =\"19101696\"]\n  6 [size=\"44302336\", alpha=\"0.09\", expect_size=\"22151168\"] \n  6 -> 7 [size =\"22151168\"]\n  7 [size=\"57798656\", alpha=\"0.11\", expect_size=\"28899328\"] \n  7 -> 8 [size =\"28899328\"]\n  8 [size=\"103966720\", alpha=\"0.19\", expect_size=\"51983360\"] \n  8 -> 9 [size =\"51983360\"]\n  9 [size=\"85921792\", alpha=\"0.19\", expect_size=\"42960896\"] \n  9 -> 10 [size =\"42960896\"]\n  10 [size=\"80480256\", alpha=\"0.09\", expect_size=\"40240128\"] \n  10 -> 11 [size =\"40240128\"]\n  11 [size=\"65583104\", alpha=\"0.16\", expect_size=\"32791552\"] \n  11 -> 12 [size =\"32791552\"]\n  12 [size=\"24627200\", alpha=\"0.09\", expect_size=\"12313600\"] \n  12 -> 13 [size =\"12313600\"]\n  13 [size=\"51220480\", alpha=\"0.10\", expect_size=\"25610240\"] \n  13 -> 14 [size =\"25610240\"]\n  14 [size=\"54833152\", alpha=\"0.16\", expect_size=\"27416576\"] \n  14 -> 15 [size =\"27416576\"]\n  15 [size=\"52973568\", alpha=\"0.11\", expect_size=\"26486784\"] \n  15 -> 16 [size =\"26486784\"]\n  16 [size=\"42756096\", alpha=\"0.12\", expect_size=\"21378048\"] \n  16 -> 17 [size =\"21378048\"]\n  17 [size=\"85504000\", alpha=\"0.18\", expect_size=\"42752000\"] \n  17 -> 18 [size =\"42752000\"]\n  18 [size=\"41072640\", alpha=\"0.09\", expect_size=\"20536320\"] \n  18 -> 19 [size =\"20536320\"]\n  19 [size=\"35078144\", alpha=\"0.07\", expect_size=\"17539072\"] \n  19 -> 20 [size =\"17539072\"]\n  20 [size=\"28135424\", alpha=\"0.09\", expect_size=\"14067712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120240640\", alpha=\"0.10\", expect_size=\"48096256\"] \n  1 -> 2 [size =\"48096256\"]\n  2 [size=\"56867840\", alpha=\"0.05\", expect_size=\"22747136\"] \n  2 -> 3 [size =\"22747136\"]\n  3 [size=\"117143040\", alpha=\"0.15\", expect_size=\"46857216\"] \n  3 -> 4 [size =\"46857216\"]\n  4 [size=\"124687360\", alpha=\"0.18\", expect_size=\"49874944\"] \n  4 -> 5 [size =\"49874944\"]\n  5 [size=\"102553600\", alpha=\"0.09\", expect_size=\"41021440\"] \n  5 -> 6 [size =\"41021440\"]\n  6 [size=\"94932480\", alpha=\"0.05\", expect_size=\"37972992\"] \n  6 -> 7 [size =\"37972992\"]\n  7 [size=\"122813440\", alpha=\"0.20\", expect_size=\"49125376\"] \n  7 -> 8 [size =\"49125376\"]\n  8 [size=\"124249600\", alpha=\"0.04\", expect_size=\"49699840\"] \n  8 -> 9 [size =\"49699840\"]\n  9 [size=\"55495680\", alpha=\"0.02\", expect_size=\"22198272\"] \n  9 -> 10 [size =\"22198272\"]\n  10 [size=\"92229120\", alpha=\"0.11\", expect_size=\"36891648\"] \n  10 -> 11 [size =\"36891648\"]\n  11 [size=\"112614400\", alpha=\"0.10\", expect_size=\"45045760\"] \n  11 -> 12 [size =\"45045760\"]\n  12 [size=\"51271680\", alpha=\"0.02\", expect_size=\"20508672\"] \n  12 -> 13 [size =\"20508672\"]\n  13 [size=\"80788480\", alpha=\"0.11\", expect_size=\"32315392\"] \n  13 -> 14 [size =\"32315392\"]\n  14 [size=\"49518080\", alpha=\"0.01\", expect_size=\"19807232\"] \n  14 -> 15 [size =\"19807232\"]\n  15 [size=\"37201920\", alpha=\"0.04\", expect_size=\"14880768\"] \n  15 -> 16 [size =\"14880768\"]\n  16 [size=\"90214400\", alpha=\"0.00\", expect_size=\"36085760\"] \n  16 -> 17 [size =\"36085760\"]\n  17 [size=\"117941760\", alpha=\"0.14\", expect_size=\"47176704\"] \n  17 -> 18 [size =\"47176704\"]\n  18 [size=\"115975680\", alpha=\"0.10\", expect_size=\"46390272\"] \n  18 -> 19 [size =\"46390272\"]\n  19 [size=\"21166080\", alpha=\"0.12\", expect_size=\"8466432\"] \n  19 -> 20 [size =\"8466432\"]\n  20 [size=\"34014720\", alpha=\"0.09\", expect_size=\"13605888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18240853\", alpha=\"0.19\", expect_size=\"5472256\"] \n  1 -> 5 [size =\"5472256\"]\n  2 [size=\"82650453\", alpha=\"0.09\", expect_size=\"24795136\"] \n  2 -> 5 [size =\"24795136\"]\n  2 -> 7 [size =\"24795136\"]\n  3 [size=\"97979733\", alpha=\"0.15\", expect_size=\"29393920\"] \n  3 -> 6 [size =\"29393920\"]\n  3 -> 7 [size =\"29393920\"]\n  4 [size=\"147640320\", alpha=\"0.15\", expect_size=\"44292096\"] \n  4 -> 5 [size =\"44292096\"]\n  5 [size=\"67153920\", alpha=\"0.11\", expect_size=\"20146176\"] \n  5 -> 9 [size =\"20146176\"]\n  6 [size=\"106397013\", alpha=\"0.12\", expect_size=\"31919104\"] \n  6 -> 8 [size =\"31919104\"]\n  6 -> 11 [size =\"31919104\"]\n  7 [size=\"27248640\", alpha=\"0.16\", expect_size=\"8174592\"] \n  7 -> 9 [size =\"8174592\"]\n  7 -> 10 [size =\"8174592\"]\n  7 -> 11 [size =\"8174592\"]\n  8 [size=\"142206293\", alpha=\"0.11\", expect_size=\"42661888\"] \n  8 -> 13 [size =\"42661888\"]\n  9 [size=\"138690560\", alpha=\"0.14\", expect_size=\"41607168\"] \n  9 -> 12 [size =\"41607168\"]\n  9 -> 13 [size =\"41607168\"]\n  9 -> 14 [size =\"41607168\"]\n  10 [size=\"87422293\", alpha=\"0.10\", expect_size=\"26226688\"] \n  11 [size=\"109755733\", alpha=\"0.16\", expect_size=\"32926720\"] \n  11 -> 12 [size =\"32926720\"]\n  12 [size=\"103468373\", alpha=\"0.17\", expect_size=\"31040512\"] \n  12 -> 15 [size =\"31040512\"]\n  12 -> 16 [size =\"31040512\"]\n  12 -> 17 [size =\"31040512\"]\n  12 -> 18 [size =\"31040512\"]\n  13 [size=\"17725440\", alpha=\"0.07\", expect_size=\"5317632\"] \n  13 -> 17 [size =\"5317632\"]\n  14 [size=\"137202347\", alpha=\"0.10\", expect_size=\"41160704\"] \n  14 -> 16 [size =\"41160704\"]\n  15 [size=\"99150507\", alpha=\"0.00\", expect_size=\"29745152\"] \n  16 [size=\"27357867\", alpha=\"0.08\", expect_size=\"8207360\"] \n  16 -> 19 [size =\"8207360\"]\n  16 -> 20 [size =\"8207360\"]\n  17 [size=\"121985707\", alpha=\"0.11\", expect_size=\"36595712\"] \n  17 -> 19 [size =\"36595712\"]\n  18 [size=\"88514560\", alpha=\"0.20\", expect_size=\"26554368\"] \n  19 [size=\"18681173\", alpha=\"0.05\", expect_size=\"5604352\"] \n  20 [size=\"127317333\", alpha=\"0.15\", expect_size=\"38195200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83943424\", alpha=\"0.03\", expect_size=\"41971712\"] \n  1 -> 15 [size =\"41971712\"]\n  1 -> 17 [size =\"41971712\"]\n  1 -> 20 [size =\"41971712\"]\n  2 [size=\"65488896\", alpha=\"0.18\", expect_size=\"32744448\"] \n  2 -> 15 [size =\"32744448\"]\n  2 -> 17 [size =\"32744448\"]\n  2 -> 18 [size =\"32744448\"]\n  3 [size=\"17129472\", alpha=\"0.01\", expect_size=\"8564736\"] \n  3 -> 15 [size =\"8564736\"]\n  3 -> 17 [size =\"8564736\"]\n  4 [size=\"36755456\", alpha=\"0.02\", expect_size=\"18377728\"] \n  4 -> 16 [size =\"18377728\"]\n  4 -> 17 [size =\"18377728\"]\n  4 -> 19 [size =\"18377728\"]\n  5 [size=\"33411072\", alpha=\"0.11\", expect_size=\"16705536\"] \n  6 [size=\"84779008\", alpha=\"0.06\", expect_size=\"42389504\"] \n  6 -> 15 [size =\"42389504\"]\n  7 [size=\"75560960\", alpha=\"0.16\", expect_size=\"37780480\"] \n  7 -> 15 [size =\"37780480\"]\n  7 -> 17 [size =\"37780480\"]\n  7 -> 19 [size =\"37780480\"]\n  8 [size=\"90312704\", alpha=\"0.13\", expect_size=\"45156352\"] \n  8 -> 15 [size =\"45156352\"]\n  8 -> 16 [size =\"45156352\"]\n  9 [size=\"30265344\", alpha=\"0.02\", expect_size=\"15132672\"] \n  9 -> 17 [size =\"15132672\"]\n  9 -> 18 [size =\"15132672\"]\n  10 [size=\"75368448\", alpha=\"0.14\", expect_size=\"37684224\"] \n  10 -> 17 [size =\"37684224\"]\n  11 [size=\"71763968\", alpha=\"0.10\", expect_size=\"35881984\"] \n  11 -> 19 [size =\"35881984\"]\n  12 [size=\"87611392\", alpha=\"0.05\", expect_size=\"43805696\"] \n  12 -> 15 [size =\"43805696\"]\n  12 -> 20 [size =\"43805696\"]\n  13 [size=\"79308800\", alpha=\"0.16\", expect_size=\"39654400\"] \n  13 -> 17 [size =\"39654400\"]\n  13 -> 20 [size =\"39654400\"]\n  14 [size=\"83511296\", alpha=\"0.12\", expect_size=\"41755648\"] \n  14 -> 15 [size =\"41755648\"]\n  14 -> 17 [size =\"41755648\"]\n  14 -> 20 [size =\"41755648\"]\n  15 [size=\"94595072\", alpha=\"0.17\", expect_size=\"47297536\"] \n  16 [size=\"50184192\", alpha=\"0.11\", expect_size=\"25092096\"] \n  17 [size=\"79423488\", alpha=\"0.14\", expect_size=\"39711744\"] \n  18 [size=\"58525696\", alpha=\"0.15\", expect_size=\"29262848\"] \n  19 [size=\"25675776\", alpha=\"0.18\", expect_size=\"12837888\"] \n  20 [size=\"33794048\", alpha=\"0.18\", expect_size=\"16897024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47009792\", alpha=\"0.01\", expect_size=\"23504896\"] \n  1 -> 19 [size =\"23504896\"]\n  1 -> 20 [size =\"23504896\"]\n  2 [size=\"13168640\", alpha=\"0.10\", expect_size=\"6584320\"] \n  2 -> 19 [size =\"6584320\"]\n  3 [size=\"28045312\", alpha=\"0.11\", expect_size=\"14022656\"] \n  3 -> 19 [size =\"14022656\"]\n  3 -> 20 [size =\"14022656\"]\n  4 [size=\"67837952\", alpha=\"0.05\", expect_size=\"33918976\"] \n  4 -> 20 [size =\"33918976\"]\n  4 -> 20 [size =\"33918976\"]\n  5 [size=\"32450560\", alpha=\"0.08\", expect_size=\"16225280\"] \n  5 -> 20 [size =\"16225280\"]\n  6 [size=\"88215552\", alpha=\"0.13\", expect_size=\"44107776\"] \n  7 [size=\"42919936\", alpha=\"0.04\", expect_size=\"21459968\"] \n  7 -> 19 [size =\"21459968\"]\n  7 -> 20 [size =\"21459968\"]\n  8 [size=\"19863552\", alpha=\"0.03\", expect_size=\"9931776\"] \n  8 -> 19 [size =\"9931776\"]\n  8 -> 20 [size =\"9931776\"]\n  9 [size=\"71129088\", alpha=\"0.06\", expect_size=\"35564544\"] \n  9 -> 19 [size =\"35564544\"]\n  10 [size=\"41758720\", alpha=\"0.02\", expect_size=\"20879360\"] \n  10 -> 19 [size =\"20879360\"]\n  11 [size=\"22054912\", alpha=\"0.11\", expect_size=\"11027456\"] \n  11 -> 19 [size =\"11027456\"]\n  11 -> 20 [size =\"11027456\"]\n  12 [size=\"25821184\", alpha=\"0.00\", expect_size=\"12910592\"] \n  13 [size=\"73652224\", alpha=\"0.06\", expect_size=\"36826112\"] \n  14 [size=\"33001472\", alpha=\"0.08\", expect_size=\"16500736\"] \n  14 -> 20 [size =\"16500736\"]\n  15 [size=\"54517760\", alpha=\"0.01\", expect_size=\"27258880\"] \n  15 -> 19 [size =\"27258880\"]\n  16 [size=\"92370944\", alpha=\"0.13\", expect_size=\"46185472\"] \n  16 -> 20 [size =\"46185472\"]\n  17 [size=\"58755072\", alpha=\"0.09\", expect_size=\"29377536\"] \n  18 [size=\"77309952\", alpha=\"0.09\", expect_size=\"38654976\"] \n  18 -> 20 [size =\"38654976\"]\n  19 [size=\"89155584\", alpha=\"0.00\", expect_size=\"44577792\"] \n  20 [size=\"22065152\", alpha=\"0.15\", expect_size=\"11032576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162143573\", alpha=\"0.04\", expect_size=\"48643072\"] \n  1 -> 3 [size =\"48643072\"]\n  1 -> 4 [size =\"48643072\"]\n  2 [size=\"109554347\", alpha=\"0.07\", expect_size=\"32866304\"] \n  3 [size=\"170895360\", alpha=\"0.10\", expect_size=\"51268608\"] \n  3 -> 6 [size =\"51268608\"]\n  4 [size=\"157651627\", alpha=\"0.17\", expect_size=\"47295488\"] \n  4 -> 5 [size =\"47295488\"]\n  5 [size=\"165406720\", alpha=\"0.11\", expect_size=\"49622016\"] \n  5 -> 8 [size =\"49622016\"]\n  6 [size=\"90965333\", alpha=\"0.19\", expect_size=\"27289600\"] \n  6 -> 7 [size =\"27289600\"]\n  6 -> 8 [size =\"27289600\"]\n  7 [size=\"91173547\", alpha=\"0.11\", expect_size=\"27352064\"] \n  7 -> 9 [size =\"27352064\"]\n  8 [size=\"89692160\", alpha=\"0.09\", expect_size=\"26907648\"] \n  8 -> 10 [size =\"26907648\"]\n  9 [size=\"84650667\", alpha=\"0.01\", expect_size=\"25395200\"] \n  9 -> 11 [size =\"25395200\"]\n  9 -> 12 [size =\"25395200\"]\n  10 [size=\"130966187\", alpha=\"0.03\", expect_size=\"39289856\"] \n  10 -> 11 [size =\"39289856\"]\n  10 -> 12 [size =\"39289856\"]\n  11 [size=\"119709013\", alpha=\"0.20\", expect_size=\"35912704\"] \n  11 -> 13 [size =\"35912704\"]\n  12 [size=\"153091413\", alpha=\"0.15\", expect_size=\"45927424\"] \n  12 -> 13 [size =\"45927424\"]\n  13 [size=\"50503680\", alpha=\"0.14\", expect_size=\"15151104\"] \n  13 -> 14 [size =\"15151104\"]\n  13 -> 15 [size =\"15151104\"]\n  14 [size=\"126487893\", alpha=\"0.16\", expect_size=\"37946368\"] \n  15 [size=\"100584107\", alpha=\"0.18\", expect_size=\"30175232\"] \n  15 -> 16 [size =\"30175232\"]\n  16 [size=\"30539093\", alpha=\"0.17\", expect_size=\"9161728\"] \n  16 -> 17 [size =\"9161728\"]\n  17 [size=\"22702080\", alpha=\"0.07\", expect_size=\"6810624\"] \n  17 -> 18 [size =\"6810624\"]\n  18 [size=\"111718400\", alpha=\"0.09\", expect_size=\"33515520\"] \n  18 -> 19 [size =\"33515520\"]\n  18 -> 20 [size =\"33515520\"]\n  19 [size=\"28682240\", alpha=\"0.15\", expect_size=\"8604672\"] \n  20 [size=\"39185067\", alpha=\"0.09\", expect_size=\"11755520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79090347\", alpha=\"0.08\", expect_size=\"23727104\"] \n  1 -> 5 [size =\"23727104\"]\n  1 -> 6 [size =\"23727104\"]\n  2 [size=\"31641600\", alpha=\"0.05\", expect_size=\"9492480\"] \n  2 -> 5 [size =\"9492480\"]\n  2 -> 6 [size =\"9492480\"]\n  3 [size=\"52114773\", alpha=\"0.04\", expect_size=\"15634432\"] \n  4 [size=\"17810773\", alpha=\"0.17\", expect_size=\"5343232\"] \n  4 -> 5 [size =\"5343232\"]\n  4 -> 7 [size =\"5343232\"]\n  5 [size=\"73932800\", alpha=\"0.03\", expect_size=\"22179840\"] \n  5 -> 9 [size =\"22179840\"]\n  5 -> 10 [size =\"22179840\"]\n  6 [size=\"174185813\", alpha=\"0.11\", expect_size=\"52255744\"] \n  6 -> 8 [size =\"52255744\"]\n  6 -> 9 [size =\"52255744\"]\n  6 -> 10 [size =\"52255744\"]\n  7 [size=\"158382080\", alpha=\"0.09\", expect_size=\"47514624\"] \n  7 -> 8 [size =\"47514624\"]\n  7 -> 9 [size =\"47514624\"]\n  7 -> 10 [size =\"47514624\"]\n  7 -> 11 [size =\"47514624\"]\n  8 [size=\"73117013\", alpha=\"0.01\", expect_size=\"21935104\"] \n  8 -> 13 [size =\"21935104\"]\n  8 -> 14 [size =\"21935104\"]\n  8 -> 15 [size =\"21935104\"]\n  8 -> 15 [size =\"21935104\"]\n  9 [size=\"126846293\", alpha=\"0.10\", expect_size=\"38053888\"] \n  9 -> 12 [size =\"38053888\"]\n  9 -> 13 [size =\"38053888\"]\n  9 -> 14 [size =\"38053888\"]\n  10 [size=\"63133013\", alpha=\"0.06\", expect_size=\"18939904\"] \n  10 -> 14 [size =\"18939904\"]\n  11 [size=\"127382187\", alpha=\"0.09\", expect_size=\"38214656\"] \n  11 -> 12 [size =\"38214656\"]\n  11 -> 13 [size =\"38214656\"]\n  11 -> 14 [size =\"38214656\"]\n  11 -> 15 [size =\"38214656\"]\n  12 [size=\"33669120\", alpha=\"0.11\", expect_size=\"10100736\"] \n  12 -> 16 [size =\"10100736\"]\n  12 -> 17 [size =\"10100736\"]\n  13 [size=\"73103360\", alpha=\"0.00\", expect_size=\"21931008\"] \n  13 -> 16 [size =\"21931008\"]\n  13 -> 18 [size =\"21931008\"]\n  13 -> 19 [size =\"21931008\"]\n  14 [size=\"103574187\", alpha=\"0.13\", expect_size=\"31072256\"] \n  14 -> 18 [size =\"31072256\"]\n  14 -> 19 [size =\"31072256\"]\n  15 [size=\"83790507\", alpha=\"0.18\", expect_size=\"25137152\"] \n  15 -> 17 [size =\"25137152\"]\n  15 -> 19 [size =\"25137152\"]\n  16 [size=\"103516160\", alpha=\"0.08\", expect_size=\"31054848\"] \n  17 [size=\"36618240\", alpha=\"0.19\", expect_size=\"10985472\"] \n  17 -> 20 [size =\"10985472\"]\n  18 [size=\"110653440\", alpha=\"0.02\", expect_size=\"33196032\"] \n  18 -> 20 [size =\"33196032\"]\n  19 [size=\"122248533\", alpha=\"0.20\", expect_size=\"36674560\"] \n  19 -> 20 [size =\"36674560\"]\n  20 [size=\"45922987\", alpha=\"0.12\", expect_size=\"13776896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46458880\", alpha=\"0.20\", expect_size=\"13937664\"] \n  1 -> 3 [size =\"13937664\"]\n  2 [size=\"82210133\", alpha=\"0.12\", expect_size=\"24663040\"] \n  3 [size=\"140270933\", alpha=\"0.18\", expect_size=\"42081280\"] \n  3 -> 4 [size =\"42081280\"]\n  4 [size=\"69317973\", alpha=\"0.10\", expect_size=\"20795392\"] \n  4 -> 5 [size =\"20795392\"]\n  5 [size=\"159897600\", alpha=\"0.07\", expect_size=\"47969280\"] \n  5 -> 6 [size =\"47969280\"]\n  5 -> 7 [size =\"47969280\"]\n  6 [size=\"130672640\", alpha=\"0.06\", expect_size=\"39201792\"] \n  7 [size=\"173274453\", alpha=\"0.14\", expect_size=\"51982336\"] \n  7 -> 8 [size =\"51982336\"]\n  7 -> 9 [size =\"51982336\"]\n  8 [size=\"117521067\", alpha=\"0.07\", expect_size=\"35256320\"] \n  8 -> 11 [size =\"35256320\"]\n  9 [size=\"82722133\", alpha=\"0.02\", expect_size=\"24816640\"] \n  9 -> 10 [size =\"24816640\"]\n  10 [size=\"102891520\", alpha=\"0.02\", expect_size=\"30867456\"] \n  11 [size=\"30750720\", alpha=\"0.01\", expect_size=\"9225216\"] \n  11 -> 12 [size =\"9225216\"]\n  11 -> 13 [size =\"9225216\"]\n  12 [size=\"29822293\", alpha=\"0.16\", expect_size=\"8946688\"] \n  12 -> 14 [size =\"8946688\"]\n  13 [size=\"127177387\", alpha=\"0.08\", expect_size=\"38153216\"] \n  14 [size=\"114373973\", alpha=\"0.06\", expect_size=\"34312192\"] \n  14 -> 15 [size =\"34312192\"]\n  14 -> 16 [size =\"34312192\"]\n  15 [size=\"36915200\", alpha=\"0.11\", expect_size=\"11074560\"] \n  16 [size=\"92235093\", alpha=\"0.10\", expect_size=\"27670528\"] \n  16 -> 17 [size =\"27670528\"]\n  17 [size=\"141540693\", alpha=\"0.13\", expect_size=\"42462208\"] \n  17 -> 18 [size =\"42462208\"]\n  18 [size=\"95795200\", alpha=\"0.13\", expect_size=\"28738560\"] \n  18 -> 19 [size =\"28738560\"]\n  19 [size=\"147346773\", alpha=\"0.14\", expect_size=\"44204032\"] \n  19 -> 20 [size =\"44204032\"]\n  20 [size=\"161949013\", alpha=\"0.16\", expect_size=\"48584704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121141760\", alpha=\"0.06\", expect_size=\"48456704\"] \n  1 -> 2 [size =\"48456704\"]\n  2 [size=\"79211520\", alpha=\"0.19\", expect_size=\"31684608\"] \n  2 -> 3 [size =\"31684608\"]\n  3 [size=\"49832960\", alpha=\"0.00\", expect_size=\"19933184\"] \n  3 -> 4 [size =\"19933184\"]\n  4 [size=\"111139840\", alpha=\"0.04\", expect_size=\"44455936\"] \n  4 -> 5 [size =\"44455936\"]\n  5 [size=\"63232000\", alpha=\"0.05\", expect_size=\"25292800\"] \n  5 -> 6 [size =\"25292800\"]\n  6 [size=\"123384320\", alpha=\"0.11\", expect_size=\"49353728\"] \n  6 -> 7 [size =\"49353728\"]\n  7 [size=\"48412160\", alpha=\"0.20\", expect_size=\"19364864\"] \n  7 -> 8 [size =\"19364864\"]\n  8 [size=\"124152320\", alpha=\"0.17\", expect_size=\"49660928\"] \n  8 -> 9 [size =\"49660928\"]\n  9 [size=\"22571520\", alpha=\"0.13\", expect_size=\"9028608\"] \n  9 -> 10 [size =\"9028608\"]\n  10 [size=\"122872320\", alpha=\"0.16\", expect_size=\"49148928\"] \n  10 -> 11 [size =\"49148928\"]\n  11 [size=\"56148480\", alpha=\"0.00\", expect_size=\"22459392\"] \n  11 -> 12 [size =\"22459392\"]\n  12 [size=\"93250560\", alpha=\"0.17\", expect_size=\"37300224\"] \n  12 -> 13 [size =\"37300224\"]\n  13 [size=\"87910400\", alpha=\"0.20\", expect_size=\"35164160\"] \n  13 -> 14 [size =\"35164160\"]\n  14 [size=\"90659840\", alpha=\"0.13\", expect_size=\"36263936\"] \n  14 -> 15 [size =\"36263936\"]\n  15 [size=\"114178560\", alpha=\"0.12\", expect_size=\"45671424\"] \n  15 -> 16 [size =\"45671424\"]\n  16 [size=\"23618560\", alpha=\"0.07\", expect_size=\"9447424\"] \n  16 -> 17 [size =\"9447424\"]\n  17 [size=\"90785280\", alpha=\"0.05\", expect_size=\"36314112\"] \n  17 -> 18 [size =\"36314112\"]\n  18 [size=\"90741760\", alpha=\"0.01\", expect_size=\"36296704\"] \n  18 -> 19 [size =\"36296704\"]\n  19 [size=\"70305280\", alpha=\"0.10\", expect_size=\"28122112\"] \n  19 -> 20 [size =\"28122112\"]\n  20 [size=\"31306240\", alpha=\"0.17\", expect_size=\"12522496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53979136\", alpha=\"0.06\", expect_size=\"26989568\"] \n  1 -> 11 [size =\"26989568\"]\n  1 -> 14 [size =\"26989568\"]\n  1 -> 15 [size =\"26989568\"]\n  1 -> 16 [size =\"26989568\"]\n  2 [size=\"77170688\", alpha=\"0.12\", expect_size=\"38585344\"] \n  2 -> 16 [size =\"38585344\"]\n  3 [size=\"93896704\", alpha=\"0.19\", expect_size=\"46948352\"] \n  3 -> 11 [size =\"46948352\"]\n  3 -> 14 [size =\"46948352\"]\n  3 -> 16 [size =\"46948352\"]\n  4 [size=\"83347456\", alpha=\"0.15\", expect_size=\"41673728\"] \n  4 -> 13 [size =\"41673728\"]\n  4 -> 14 [size =\"41673728\"]\n  4 -> 16 [size =\"41673728\"]\n  5 [size=\"87889920\", alpha=\"0.05\", expect_size=\"43944960\"] \n  5 -> 10 [size =\"43944960\"]\n  5 -> 13 [size =\"43944960\"]\n  5 -> 14 [size =\"43944960\"]\n  5 -> 15 [size =\"43944960\"]\n  6 [size=\"98947072\", alpha=\"0.20\", expect_size=\"49473536\"] \n  6 -> 14 [size =\"49473536\"]\n  6 -> 15 [size =\"49473536\"]\n  6 -> 16 [size =\"49473536\"]\n  7 [size=\"90869760\", alpha=\"0.10\", expect_size=\"45434880\"] \n  7 -> 12 [size =\"45434880\"]\n  7 -> 13 [size =\"45434880\"]\n  7 -> 14 [size =\"45434880\"]\n  7 -> 15 [size =\"45434880\"]\n  8 [size=\"23015424\", alpha=\"0.12\", expect_size=\"11507712\"] \n  8 -> 13 [size =\"11507712\"]\n  8 -> 15 [size =\"11507712\"]\n  8 -> 16 [size =\"11507712\"]\n  9 [size=\"54550528\", alpha=\"0.13\", expect_size=\"27275264\"] \n  9 -> 11 [size =\"27275264\"]\n  9 -> 15 [size =\"27275264\"]\n  10 [size=\"25960448\", alpha=\"0.02\", expect_size=\"12980224\"] \n  10 -> 17 [size =\"12980224\"]\n  10 -> 19 [size =\"12980224\"]\n  10 -> 20 [size =\"12980224\"]\n  11 [size=\"90499072\", alpha=\"0.19\", expect_size=\"45249536\"] \n  11 -> 18 [size =\"45249536\"]\n  11 -> 20 [size =\"45249536\"]\n  12 [size=\"22980608\", alpha=\"0.00\", expect_size=\"11490304\"] \n  12 -> 17 [size =\"11490304\"]\n  12 -> 18 [size =\"11490304\"]\n  12 -> 19 [size =\"11490304\"]\n  13 [size=\"77387776\", alpha=\"0.08\", expect_size=\"38693888\"] \n  13 -> 17 [size =\"38693888\"]\n  13 -> 18 [size =\"38693888\"]\n  13 -> 19 [size =\"38693888\"]\n  14 [size=\"73347072\", alpha=\"0.16\", expect_size=\"36673536\"] \n  14 -> 17 [size =\"36673536\"]\n  14 -> 19 [size =\"36673536\"]\n  14 -> 20 [size =\"36673536\"]\n  15 [size=\"51863552\", alpha=\"0.19\", expect_size=\"25931776\"] \n  15 -> 18 [size =\"25931776\"]\n  15 -> 20 [size =\"25931776\"]\n  16 [size=\"74387456\", alpha=\"0.09\", expect_size=\"37193728\"] \n  16 -> 18 [size =\"37193728\"]\n  16 -> 19 [size =\"37193728\"]\n  17 [size=\"73799680\", alpha=\"0.14\", expect_size=\"36899840\"] \n  18 [size=\"27209728\", alpha=\"0.07\", expect_size=\"13604864\"] \n  19 [size=\"86007808\", alpha=\"0.13\", expect_size=\"43003904\"] \n  20 [size=\"53035008\", alpha=\"0.13\", expect_size=\"26517504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28177920\", alpha=\"0.03\", expect_size=\"11271168\"] \n  1 -> 2 [size =\"11271168\"]\n  2 [size=\"102671360\", alpha=\"0.19\", expect_size=\"41068544\"] \n  2 -> 3 [size =\"41068544\"]\n  2 -> 4 [size =\"41068544\"]\n  3 [size=\"74132480\", alpha=\"0.11\", expect_size=\"29652992\"] \n  3 -> 5 [size =\"29652992\"]\n  4 [size=\"50900480\", alpha=\"0.06\", expect_size=\"20360192\"] \n  4 -> 6 [size =\"20360192\"]\n  5 [size=\"45137920\", alpha=\"0.15\", expect_size=\"18055168\"] \n  5 -> 7 [size =\"18055168\"]\n  5 -> 8 [size =\"18055168\"]\n  6 [size=\"74933760\", alpha=\"0.09\", expect_size=\"29973504\"] \n  7 [size=\"117847040\", alpha=\"0.18\", expect_size=\"47138816\"] \n  7 -> 9 [size =\"47138816\"]\n  7 -> 10 [size =\"47138816\"]\n  8 [size=\"107174400\", alpha=\"0.15\", expect_size=\"42869760\"] \n  8 -> 9 [size =\"42869760\"]\n  9 [size=\"75560960\", alpha=\"0.14\", expect_size=\"30224384\"] \n  10 [size=\"44369920\", alpha=\"0.17\", expect_size=\"17747968\"] \n  10 -> 11 [size =\"17747968\"]\n  11 [size=\"129364480\", alpha=\"0.02\", expect_size=\"51745792\"] \n  11 -> 12 [size =\"51745792\"]\n  11 -> 13 [size =\"51745792\"]\n  12 [size=\"28124160\", alpha=\"0.17\", expect_size=\"11249664\"] \n  12 -> 15 [size =\"11249664\"]\n  13 [size=\"23206400\", alpha=\"0.02\", expect_size=\"9282560\"] \n  13 -> 14 [size =\"9282560\"]\n  14 [size=\"89062400\", alpha=\"0.16\", expect_size=\"35624960\"] \n  14 -> 16 [size =\"35624960\"]\n  14 -> 17 [size =\"35624960\"]\n  15 [size=\"124495360\", alpha=\"0.05\", expect_size=\"49798144\"] \n  15 -> 16 [size =\"49798144\"]\n  16 [size=\"92503040\", alpha=\"0.19\", expect_size=\"37001216\"] \n  16 -> 18 [size =\"37001216\"]\n  17 [size=\"28436480\", alpha=\"0.01\", expect_size=\"11374592\"] \n  18 [size=\"13962240\", alpha=\"0.16\", expect_size=\"5584896\"] \n  18 -> 19 [size =\"5584896\"]\n  18 -> 20 [size =\"5584896\"]\n  19 [size=\"103116800\", alpha=\"0.13\", expect_size=\"41246720\"] \n  20 [size=\"69022720\", alpha=\"0.01\", expect_size=\"27609088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67242667\", alpha=\"0.14\", expect_size=\"20172800\"] \n  1 -> 9 [size =\"20172800\"]\n  1 -> 11 [size =\"20172800\"]\n  2 [size=\"140946773\", alpha=\"0.07\", expect_size=\"42284032\"] \n  2 -> 9 [size =\"42284032\"]\n  2 -> 10 [size =\"42284032\"]\n  2 -> 12 [size =\"42284032\"]\n  2 -> 13 [size =\"42284032\"]\n  2 -> 14 [size =\"42284032\"]\n  3 [size=\"139175253\", alpha=\"0.11\", expect_size=\"41752576\"] \n  3 -> 7 [size =\"41752576\"]\n  3 -> 8 [size =\"41752576\"]\n  3 -> 9 [size =\"41752576\"]\n  3 -> 10 [size =\"41752576\"]\n  3 -> 11 [size =\"41752576\"]\n  3 -> 13 [size =\"41752576\"]\n  3 -> 14 [size =\"41752576\"]\n  4 [size=\"165082453\", alpha=\"0.13\", expect_size=\"49524736\"] \n  4 -> 8 [size =\"49524736\"]\n  4 -> 9 [size =\"49524736\"]\n  4 -> 13 [size =\"49524736\"]\n  4 -> 15 [size =\"49524736\"]\n  5 [size=\"125808640\", alpha=\"0.00\", expect_size=\"37742592\"] \n  5 -> 7 [size =\"37742592\"]\n  5 -> 9 [size =\"37742592\"]\n  5 -> 15 [size =\"37742592\"]\n  5 -> 15 [size =\"37742592\"]\n  6 [size=\"83022507\", alpha=\"0.04\", expect_size=\"24906752\"] \n  6 -> 7 [size =\"24906752\"]\n  6 -> 8 [size =\"24906752\"]\n  6 -> 9 [size =\"24906752\"]\n  6 -> 10 [size =\"24906752\"]\n  6 -> 14 [size =\"24906752\"]\n  6 -> 15 [size =\"24906752\"]\n  7 [size=\"166130347\", alpha=\"0.01\", expect_size=\"49839104\"] \n  7 -> 17 [size =\"49839104\"]\n  7 -> 19 [size =\"49839104\"]\n  7 -> 20 [size =\"49839104\"]\n  8 [size=\"56944640\", alpha=\"0.03\", expect_size=\"17083392\"] \n  8 -> 20 [size =\"17083392\"]\n  9 [size=\"86678187\", alpha=\"0.12\", expect_size=\"26003456\"] \n  9 -> 18 [size =\"26003456\"]\n  9 -> 20 [size =\"26003456\"]\n  10 [size=\"119760213\", alpha=\"0.07\", expect_size=\"35928064\"] \n  10 -> 16 [size =\"35928064\"]\n  10 -> 18 [size =\"35928064\"]\n  10 -> 19 [size =\"35928064\"]\n  11 [size=\"123101867\", alpha=\"0.12\", expect_size=\"36930560\"] \n  11 -> 19 [size =\"36930560\"]\n  11 -> 20 [size =\"36930560\"]\n  12 [size=\"72949760\", alpha=\"0.03\", expect_size=\"21884928\"] \n  12 -> 19 [size =\"21884928\"]\n  12 -> 20 [size =\"21884928\"]\n  13 [size=\"128832853\", alpha=\"0.07\", expect_size=\"38649856\"] \n  13 -> 17 [size =\"38649856\"]\n  13 -> 18 [size =\"38649856\"]\n  13 -> 19 [size =\"38649856\"]\n  13 -> 20 [size =\"38649856\"]\n  14 [size=\"58750293\", alpha=\"0.04\", expect_size=\"17625088\"] \n  14 -> 16 [size =\"17625088\"]\n  14 -> 17 [size =\"17625088\"]\n  14 -> 20 [size =\"17625088\"]\n  15 [size=\"158873600\", alpha=\"0.05\", expect_size=\"47662080\"] \n  15 -> 18 [size =\"47662080\"]\n  16 [size=\"158897493\", alpha=\"0.07\", expect_size=\"47669248\"] \n  17 [size=\"35908267\", alpha=\"0.10\", expect_size=\"10772480\"] \n  18 [size=\"45301760\", alpha=\"0.08\", expect_size=\"13590528\"] \n  19 [size=\"71659520\", alpha=\"0.16\", expect_size=\"21497856\"] \n  20 [size=\"167010987\", alpha=\"0.06\", expect_size=\"50103296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57446400\", alpha=\"0.19\", expect_size=\"28723200\"] \n  1 -> 7 [size =\"28723200\"]\n  2 [size=\"51232768\", alpha=\"0.17\", expect_size=\"25616384\"] \n  3 [size=\"79142912\", alpha=\"0.12\", expect_size=\"39571456\"] \n  3 -> 6 [size =\"39571456\"]\n  4 [size=\"19150848\", alpha=\"0.10\", expect_size=\"9575424\"] \n  5 [size=\"84459520\", alpha=\"0.17\", expect_size=\"42229760\"] \n  6 [size=\"13371392\", alpha=\"0.06\", expect_size=\"6685696\"] \n  6 -> 8 [size =\"6685696\"]\n  6 -> 9 [size =\"6685696\"]\n  7 [size=\"74915840\", alpha=\"0.11\", expect_size=\"37457920\"] \n  7 -> 9 [size =\"37457920\"]\n  8 [size=\"38643712\", alpha=\"0.14\", expect_size=\"19321856\"] \n  8 -> 10 [size =\"19321856\"]\n  8 -> 12 [size =\"19321856\"]\n  8 -> 14 [size =\"19321856\"]\n  9 [size=\"42905600\", alpha=\"0.15\", expect_size=\"21452800\"] \n  9 -> 10 [size =\"21452800\"]\n  9 -> 11 [size =\"21452800\"]\n  9 -> 13 [size =\"21452800\"]\n  9 -> 14 [size =\"21452800\"]\n  10 [size=\"54147072\", alpha=\"0.18\", expect_size=\"27073536\"] \n  10 -> 15 [size =\"27073536\"]\n  10 -> 16 [size =\"27073536\"]\n  11 [size=\"17723392\", alpha=\"0.10\", expect_size=\"8861696\"] \n  11 -> 15 [size =\"8861696\"]\n  12 [size=\"13568000\", alpha=\"0.14\", expect_size=\"6784000\"] \n  12 -> 15 [size =\"6784000\"]\n  12 -> 16 [size =\"6784000\"]\n  13 [size=\"95297536\", alpha=\"0.03\", expect_size=\"47648768\"] \n  14 [size=\"58062848\", alpha=\"0.12\", expect_size=\"29031424\"] \n  15 [size=\"11984896\", alpha=\"0.19\", expect_size=\"5992448\"] \n  15 -> 17 [size =\"5992448\"]\n  15 -> 18 [size =\"5992448\"]\n  15 -> 20 [size =\"5992448\"]\n  16 [size=\"91521024\", alpha=\"0.10\", expect_size=\"45760512\"] \n  16 -> 17 [size =\"45760512\"]\n  16 -> 18 [size =\"45760512\"]\n  16 -> 19 [size =\"45760512\"]\n  16 -> 20 [size =\"45760512\"]\n  17 [size=\"23416832\", alpha=\"0.06\", expect_size=\"11708416\"] \n  18 [size=\"76185600\", alpha=\"0.07\", expect_size=\"38092800\"] \n  19 [size=\"47949824\", alpha=\"0.05\", expect_size=\"23974912\"] \n  20 [size=\"26238976\", alpha=\"0.01\", expect_size=\"13119488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66992128\", alpha=\"0.06\", expect_size=\"33496064\"] \n  1 -> 3 [size =\"33496064\"]\n  2 [size=\"15396864\", alpha=\"0.15\", expect_size=\"7698432\"] \n  2 -> 3 [size =\"7698432\"]\n  3 [size=\"10602496\", alpha=\"0.09\", expect_size=\"5301248\"] \n  3 -> 4 [size =\"5301248\"]\n  3 -> 5 [size =\"5301248\"]\n  4 [size=\"61132800\", alpha=\"0.06\", expect_size=\"30566400\"] \n  4 -> 6 [size =\"30566400\"]\n  5 [size=\"57454592\", alpha=\"0.15\", expect_size=\"28727296\"] \n  5 -> 6 [size =\"28727296\"]\n  6 [size=\"43614208\", alpha=\"0.06\", expect_size=\"21807104\"] \n  6 -> 7 [size =\"21807104\"]\n  7 [size=\"81332224\", alpha=\"0.08\", expect_size=\"40666112\"] \n  7 -> 8 [size =\"40666112\"]\n  8 [size=\"32598016\", alpha=\"0.03\", expect_size=\"16299008\"] \n  8 -> 9 [size =\"16299008\"]\n  8 -> 10 [size =\"16299008\"]\n  9 [size=\"101156864\", alpha=\"0.15\", expect_size=\"50578432\"] \n  9 -> 11 [size =\"50578432\"]\n  9 -> 12 [size =\"50578432\"]\n  10 [size=\"74739712\", alpha=\"0.16\", expect_size=\"37369856\"] \n  11 [size=\"80025600\", alpha=\"0.17\", expect_size=\"40012800\"] \n  11 -> 13 [size =\"40012800\"]\n  12 [size=\"14620672\", alpha=\"0.00\", expect_size=\"7310336\"] \n  12 -> 13 [size =\"7310336\"]\n  13 [size=\"83902464\", alpha=\"0.04\", expect_size=\"41951232\"] \n  13 -> 14 [size =\"41951232\"]\n  13 -> 15 [size =\"41951232\"]\n  14 [size=\"31393792\", alpha=\"0.07\", expect_size=\"15696896\"] \n  14 -> 16 [size =\"15696896\"]\n  15 [size=\"59484160\", alpha=\"0.11\", expect_size=\"29742080\"] \n  15 -> 16 [size =\"29742080\"]\n  15 -> 17 [size =\"29742080\"]\n  16 [size=\"38189056\", alpha=\"0.04\", expect_size=\"19094528\"] \n  16 -> 18 [size =\"19094528\"]\n  17 [size=\"68399104\", alpha=\"0.10\", expect_size=\"34199552\"] \n  17 -> 18 [size =\"34199552\"]\n  18 [size=\"13406208\", alpha=\"0.19\", expect_size=\"6703104\"] \n  18 -> 19 [size =\"6703104\"]\n  19 [size=\"27248640\", alpha=\"0.08\", expect_size=\"13624320\"] \n  19 -> 20 [size =\"13624320\"]\n  20 [size=\"98914304\", alpha=\"0.02\", expect_size=\"49457152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118306133\", alpha=\"0.17\", expect_size=\"35491840\"] \n  1 -> 2 [size =\"35491840\"]\n  2 [size=\"60470613\", alpha=\"0.05\", expect_size=\"18141184\"] \n  2 -> 3 [size =\"18141184\"]\n  3 [size=\"82107733\", alpha=\"0.19\", expect_size=\"24632320\"] \n  3 -> 4 [size =\"24632320\"]\n  4 [size=\"91627520\", alpha=\"0.04\", expect_size=\"27488256\"] \n  4 -> 5 [size =\"27488256\"]\n  5 [size=\"126958933\", alpha=\"0.09\", expect_size=\"38087680\"] \n  5 -> 6 [size =\"38087680\"]\n  6 [size=\"103393280\", alpha=\"0.18\", expect_size=\"31017984\"] \n  6 -> 7 [size =\"31017984\"]\n  7 [size=\"152883200\", alpha=\"0.13\", expect_size=\"45864960\"] \n  7 -> 8 [size =\"45864960\"]\n  8 [size=\"32815787\", alpha=\"0.00\", expect_size=\"9844736\"] \n  8 -> 9 [size =\"9844736\"]\n  9 [size=\"57436160\", alpha=\"0.19\", expect_size=\"17230848\"] \n  9 -> 10 [size =\"17230848\"]\n  10 [size=\"83592533\", alpha=\"0.10\", expect_size=\"25077760\"] \n  10 -> 11 [size =\"25077760\"]\n  11 [size=\"91917653\", alpha=\"0.06\", expect_size=\"27575296\"] \n  11 -> 12 [size =\"27575296\"]\n  12 [size=\"67229013\", alpha=\"0.18\", expect_size=\"20168704\"] \n  12 -> 13 [size =\"20168704\"]\n  13 [size=\"106304853\", alpha=\"0.20\", expect_size=\"31891456\"] \n  13 -> 14 [size =\"31891456\"]\n  14 [size=\"98362027\", alpha=\"0.16\", expect_size=\"29508608\"] \n  14 -> 15 [size =\"29508608\"]\n  15 [size=\"131307520\", alpha=\"0.10\", expect_size=\"39392256\"] \n  15 -> 16 [size =\"39392256\"]\n  16 [size=\"43796480\", alpha=\"0.13\", expect_size=\"13138944\"] \n  16 -> 17 [size =\"13138944\"]\n  17 [size=\"26682027\", alpha=\"0.10\", expect_size=\"8004608\"] \n  17 -> 18 [size =\"8004608\"]\n  18 [size=\"131836587\", alpha=\"0.07\", expect_size=\"39550976\"] \n  18 -> 19 [size =\"39550976\"]\n  19 [size=\"133324800\", alpha=\"0.16\", expect_size=\"39997440\"] \n  19 -> 20 [size =\"39997440\"]\n  20 [size=\"125361493\", alpha=\"0.16\", expect_size=\"37608448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106165760\", alpha=\"0.15\", expect_size=\"42466304\"] \n  1 -> 2 [size =\"42466304\"]\n  2 [size=\"15344640\", alpha=\"0.14\", expect_size=\"6137856\"] \n  2 -> 3 [size =\"6137856\"]\n  3 [size=\"111500800\", alpha=\"0.13\", expect_size=\"44600320\"] \n  3 -> 4 [size =\"44600320\"]\n  4 [size=\"25262080\", alpha=\"0.02\", expect_size=\"10104832\"] \n  4 -> 5 [size =\"10104832\"]\n  5 [size=\"90263040\", alpha=\"0.10\", expect_size=\"36105216\"] \n  5 -> 6 [size =\"36105216\"]\n  6 [size=\"116034560\", alpha=\"0.13\", expect_size=\"46413824\"] \n  6 -> 7 [size =\"46413824\"]\n  7 [size=\"45831680\", alpha=\"0.02\", expect_size=\"18332672\"] \n  7 -> 8 [size =\"18332672\"]\n  8 [size=\"17021440\", alpha=\"0.05\", expect_size=\"6808576\"] \n  8 -> 9 [size =\"6808576\"]\n  9 [size=\"47728640\", alpha=\"0.12\", expect_size=\"19091456\"] \n  9 -> 10 [size =\"19091456\"]\n  10 [size=\"51246080\", alpha=\"0.11\", expect_size=\"20498432\"] \n  10 -> 11 [size =\"20498432\"]\n  11 [size=\"36741120\", alpha=\"0.09\", expect_size=\"14696448\"] \n  11 -> 12 [size =\"14696448\"]\n  12 [size=\"125127680\", alpha=\"0.00\", expect_size=\"50051072\"] \n  12 -> 13 [size =\"50051072\"]\n  13 [size=\"90672640\", alpha=\"0.00\", expect_size=\"36269056\"] \n  13 -> 14 [size =\"36269056\"]\n  14 [size=\"47713280\", alpha=\"0.02\", expect_size=\"19085312\"] \n  14 -> 15 [size =\"19085312\"]\n  15 [size=\"61048320\", alpha=\"0.02\", expect_size=\"24419328\"] \n  15 -> 16 [size =\"24419328\"]\n  16 [size=\"118625280\", alpha=\"0.01\", expect_size=\"47450112\"] \n  16 -> 17 [size =\"47450112\"]\n  17 [size=\"78356480\", alpha=\"0.06\", expect_size=\"31342592\"] \n  17 -> 18 [size =\"31342592\"]\n  18 [size=\"90933760\", alpha=\"0.08\", expect_size=\"36373504\"] \n  18 -> 19 [size =\"36373504\"]\n  19 [size=\"120634880\", alpha=\"0.01\", expect_size=\"48253952\"] \n  19 -> 20 [size =\"48253952\"]\n  20 [size=\"75002880\", alpha=\"0.06\", expect_size=\"30001152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77155840\", alpha=\"0.02\", expect_size=\"30862336\"] \n  1 -> 14 [size =\"30862336\"]\n  1 -> 16 [size =\"30862336\"]\n  1 -> 20 [size =\"30862336\"]\n  2 [size=\"58375680\", alpha=\"0.10\", expect_size=\"23350272\"] \n  2 -> 15 [size =\"23350272\"]\n  2 -> 16 [size =\"23350272\"]\n  3 [size=\"60715520\", alpha=\"0.05\", expect_size=\"24286208\"] \n  3 -> 17 [size =\"24286208\"]\n  3 -> 18 [size =\"24286208\"]\n  4 [size=\"32642560\", alpha=\"0.07\", expect_size=\"13057024\"] \n  4 -> 12 [size =\"13057024\"]\n  4 -> 16 [size =\"13057024\"]\n  4 -> 17 [size =\"13057024\"]\n  4 -> 18 [size =\"13057024\"]\n  4 -> 20 [size =\"13057024\"]\n  5 [size=\"18242560\", alpha=\"0.08\", expect_size=\"7297024\"] \n  5 -> 14 [size =\"7297024\"]\n  5 -> 16 [size =\"7297024\"]\n  6 [size=\"28702720\", alpha=\"0.04\", expect_size=\"11481088\"] \n  6 -> 12 [size =\"11481088\"]\n  6 -> 13 [size =\"11481088\"]\n  6 -> 14 [size =\"11481088\"]\n  6 -> 15 [size =\"11481088\"]\n  6 -> 16 [size =\"11481088\"]\n  7 [size=\"122734080\", alpha=\"0.13\", expect_size=\"49093632\"] \n  7 -> 12 [size =\"49093632\"]\n  7 -> 13 [size =\"49093632\"]\n  7 -> 14 [size =\"49093632\"]\n  8 [size=\"43366400\", alpha=\"0.03\", expect_size=\"17346560\"] \n  8 -> 12 [size =\"17346560\"]\n  8 -> 14 [size =\"17346560\"]\n  9 [size=\"42414080\", alpha=\"0.06\", expect_size=\"16965632\"] \n  9 -> 13 [size =\"16965632\"]\n  9 -> 14 [size =\"16965632\"]\n  9 -> 17 [size =\"16965632\"]\n  9 -> 19 [size =\"16965632\"]\n  10 [size=\"98634240\", alpha=\"0.10\", expect_size=\"39453696\"] \n  10 -> 13 [size =\"39453696\"]\n  10 -> 15 [size =\"39453696\"]\n  10 -> 16 [size =\"39453696\"]\n  10 -> 20 [size =\"39453696\"]\n  11 [size=\"25100800\", alpha=\"0.00\", expect_size=\"10040320\"] \n  11 -> 15 [size =\"10040320\"]\n  11 -> 19 [size =\"10040320\"]\n  11 -> 20 [size =\"10040320\"]\n  12 [size=\"35238400\", alpha=\"0.08\", expect_size=\"14095360\"] \n  13 [size=\"93547520\", alpha=\"0.11\", expect_size=\"37419008\"] \n  14 [size=\"125864960\", alpha=\"0.10\", expect_size=\"50345984\"] \n  15 [size=\"50716160\", alpha=\"0.15\", expect_size=\"20286464\"] \n  16 [size=\"96952320\", alpha=\"0.02\", expect_size=\"38780928\"] \n  17 [size=\"120473600\", alpha=\"0.01\", expect_size=\"48189440\"] \n  18 [size=\"79564800\", alpha=\"0.02\", expect_size=\"31825920\"] \n  19 [size=\"98951680\", alpha=\"0.10\", expect_size=\"39580672\"] \n  20 [size=\"18496000\", alpha=\"0.05\", expect_size=\"7398400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137045333\", alpha=\"0.05\", expect_size=\"41113600\"] \n  1 -> 2 [size =\"41113600\"]\n  2 [size=\"22091093\", alpha=\"0.02\", expect_size=\"6627328\"] \n  2 -> 3 [size =\"6627328\"]\n  3 [size=\"27958613\", alpha=\"0.10\", expect_size=\"8387584\"] \n  3 -> 4 [size =\"8387584\"]\n  3 -> 5 [size =\"8387584\"]\n  4 [size=\"116988587\", alpha=\"0.16\", expect_size=\"35096576\"] \n  5 [size=\"19841707\", alpha=\"0.11\", expect_size=\"5952512\"] \n  5 -> 6 [size =\"5952512\"]\n  5 -> 7 [size =\"5952512\"]\n  6 [size=\"84712107\", alpha=\"0.14\", expect_size=\"25413632\"] \n  6 -> 8 [size =\"25413632\"]\n  7 [size=\"30836053\", alpha=\"0.00\", expect_size=\"9250816\"] \n  8 [size=\"49220267\", alpha=\"0.01\", expect_size=\"14766080\"] \n  8 -> 9 [size =\"14766080\"]\n  9 [size=\"173349547\", alpha=\"0.11\", expect_size=\"52004864\"] \n  9 -> 10 [size =\"52004864\"]\n  10 [size=\"55906987\", alpha=\"0.11\", expect_size=\"16772096\"] \n  10 -> 11 [size =\"16772096\"]\n  11 [size=\"87862613\", alpha=\"0.15\", expect_size=\"26358784\"] \n  11 -> 12 [size =\"26358784\"]\n  11 -> 13 [size =\"26358784\"]\n  12 [size=\"124685653\", alpha=\"0.16\", expect_size=\"37405696\"] \n  12 -> 14 [size =\"37405696\"]\n  13 [size=\"139526827\", alpha=\"0.16\", expect_size=\"41858048\"] \n  14 [size=\"61511680\", alpha=\"0.20\", expect_size=\"18453504\"] \n  14 -> 15 [size =\"18453504\"]\n  15 [size=\"27371520\", alpha=\"0.17\", expect_size=\"8211456\"] \n  15 -> 16 [size =\"8211456\"]\n  16 [size=\"112015360\", alpha=\"0.18\", expect_size=\"33604608\"] \n  16 -> 17 [size =\"33604608\"]\n  16 -> 18 [size =\"33604608\"]\n  17 [size=\"63088640\", alpha=\"0.19\", expect_size=\"18926592\"] \n  18 [size=\"65805653\", alpha=\"0.01\", expect_size=\"19741696\"] \n  18 -> 19 [size =\"19741696\"]\n  19 [size=\"71338667\", alpha=\"0.09\", expect_size=\"21401600\"] \n  19 -> 20 [size =\"21401600\"]\n  20 [size=\"154453333\", alpha=\"0.17\", expect_size=\"46336000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57163093\", alpha=\"0.06\", expect_size=\"17148928\"] \n  1 -> 16 [size =\"17148928\"]\n  1 -> 18 [size =\"17148928\"]\n  1 -> 19 [size =\"17148928\"]\n  2 [size=\"59255467\", alpha=\"0.03\", expect_size=\"17776640\"] \n  2 -> 16 [size =\"17776640\"]\n  2 -> 20 [size =\"17776640\"]\n  3 [size=\"36959573\", alpha=\"0.06\", expect_size=\"11087872\"] \n  3 -> 13 [size =\"11087872\"]\n  3 -> 20 [size =\"11087872\"]\n  4 [size=\"145076907\", alpha=\"0.11\", expect_size=\"43523072\"] \n  4 -> 14 [size =\"43523072\"]\n  4 -> 17 [size =\"43523072\"]\n  4 -> 19 [size =\"43523072\"]\n  5 [size=\"18688000\", alpha=\"0.02\", expect_size=\"5606400\"] \n  5 -> 14 [size =\"5606400\"]\n  5 -> 16 [size =\"5606400\"]\n  5 -> 17 [size =\"5606400\"]\n  6 [size=\"125477547\", alpha=\"0.17\", expect_size=\"37643264\"] \n  6 -> 13 [size =\"37643264\"]\n  6 -> 14 [size =\"37643264\"]\n  6 -> 20 [size =\"37643264\"]\n  7 [size=\"130048000\", alpha=\"0.19\", expect_size=\"39014400\"] \n  7 -> 14 [size =\"39014400\"]\n  7 -> 14 [size =\"39014400\"]\n  7 -> 19 [size =\"39014400\"]\n  8 [size=\"54818133\", alpha=\"0.02\", expect_size=\"16445440\"] \n  8 -> 18 [size =\"16445440\"]\n  8 -> 20 [size =\"16445440\"]\n  9 [size=\"109230080\", alpha=\"0.04\", expect_size=\"32769024\"] \n  9 -> 14 [size =\"32769024\"]\n  9 -> 18 [size =\"32769024\"]\n  10 [size=\"170912427\", alpha=\"0.06\", expect_size=\"51273728\"] \n  10 -> 19 [size =\"51273728\"]\n  10 -> 20 [size =\"51273728\"]\n  11 [size=\"18046293\", alpha=\"0.12\", expect_size=\"5413888\"] \n  12 [size=\"68543147\", alpha=\"0.19\", expect_size=\"20562944\"] \n  12 -> 13 [size =\"20562944\"]\n  12 -> 15 [size =\"20562944\"]\n  12 -> 16 [size =\"20562944\"]\n  12 -> 19 [size =\"20562944\"]\n  13 [size=\"95788373\", alpha=\"0.08\", expect_size=\"28736512\"] \n  14 [size=\"144619520\", alpha=\"0.09\", expect_size=\"43385856\"] \n  15 [size=\"76745387\", alpha=\"0.01\", expect_size=\"23023616\"] \n  16 [size=\"95071573\", alpha=\"0.03\", expect_size=\"28521472\"] \n  17 [size=\"70628693\", alpha=\"0.17\", expect_size=\"21188608\"] \n  18 [size=\"64638293\", alpha=\"0.06\", expect_size=\"19391488\"] \n  19 [size=\"76997973\", alpha=\"0.19\", expect_size=\"23099392\"] \n  20 [size=\"106011307\", alpha=\"0.14\", expect_size=\"31803392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72465920\", alpha=\"0.10\", expect_size=\"28986368\"] \n  1 -> 2 [size =\"28986368\"]\n  1 -> 3 [size =\"28986368\"]\n  2 [size=\"40176640\", alpha=\"0.14\", expect_size=\"16070656\"] \n  3 [size=\"57584640\", alpha=\"0.08\", expect_size=\"23033856\"] \n  3 -> 4 [size =\"23033856\"]\n  4 [size=\"130941440\", alpha=\"0.01\", expect_size=\"52376576\"] \n  4 -> 5 [size =\"52376576\"]\n  4 -> 6 [size =\"52376576\"]\n  5 [size=\"16066560\", alpha=\"0.08\", expect_size=\"6426624\"] \n  5 -> 7 [size =\"6426624\"]\n  6 [size=\"28303360\", alpha=\"0.15\", expect_size=\"11321344\"] \n  7 [size=\"129530880\", alpha=\"0.13\", expect_size=\"51812352\"] \n  7 -> 8 [size =\"51812352\"]\n  8 [size=\"34398720\", alpha=\"0.05\", expect_size=\"13759488\"] \n  8 -> 9 [size =\"13759488\"]\n  8 -> 10 [size =\"13759488\"]\n  9 [size=\"125043200\", alpha=\"0.07\", expect_size=\"50017280\"] \n  9 -> 11 [size =\"50017280\"]\n  10 [size=\"105617920\", alpha=\"0.14\", expect_size=\"42247168\"] \n  10 -> 12 [size =\"42247168\"]\n  11 [size=\"67745280\", alpha=\"0.05\", expect_size=\"27098112\"] \n  12 [size=\"125304320\", alpha=\"0.05\", expect_size=\"50121728\"] \n  12 -> 13 [size =\"50121728\"]\n  13 [size=\"87316480\", alpha=\"0.02\", expect_size=\"34926592\"] \n  13 -> 14 [size =\"34926592\"]\n  14 [size=\"14082560\", alpha=\"0.00\", expect_size=\"5633024\"] \n  14 -> 15 [size =\"5633024\"]\n  14 -> 16 [size =\"5633024\"]\n  15 [size=\"20116480\", alpha=\"0.02\", expect_size=\"8046592\"] \n  15 -> 17 [size =\"8046592\"]\n  15 -> 18 [size =\"8046592\"]\n  16 [size=\"65697280\", alpha=\"0.02\", expect_size=\"26278912\"] \n  16 -> 17 [size =\"26278912\"]\n  17 [size=\"34119680\", alpha=\"0.10\", expect_size=\"13647872\"] \n  18 [size=\"113195520\", alpha=\"0.01\", expect_size=\"45278208\"] \n  18 -> 19 [size =\"45278208\"]\n  19 [size=\"22545920\", alpha=\"0.18\", expect_size=\"9018368\"] \n  19 -> 20 [size =\"9018368\"]\n  20 [size=\"65018880\", alpha=\"0.08\", expect_size=\"26007552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162194773\", alpha=\"0.14\", expect_size=\"48658432\"] \n  1 -> 6 [size =\"48658432\"]\n  1 -> 9 [size =\"48658432\"]\n  2 [size=\"24214187\", alpha=\"0.05\", expect_size=\"7264256\"] \n  2 -> 6 [size =\"7264256\"]\n  2 -> 8 [size =\"7264256\"]\n  3 [size=\"105895253\", alpha=\"0.05\", expect_size=\"31768576\"] \n  3 -> 6 [size =\"31768576\"]\n  3 -> 7 [size =\"31768576\"]\n  3 -> 8 [size =\"31768576\"]\n  3 -> 9 [size =\"31768576\"]\n  4 [size=\"131409920\", alpha=\"0.05\", expect_size=\"39422976\"] \n  4 -> 7 [size =\"39422976\"]\n  4 -> 8 [size =\"39422976\"]\n  5 [size=\"144203093\", alpha=\"0.02\", expect_size=\"43260928\"] \n  5 -> 7 [size =\"43260928\"]\n  5 -> 8 [size =\"43260928\"]\n  6 [size=\"165092693\", alpha=\"0.05\", expect_size=\"49527808\"] \n  6 -> 11 [size =\"49527808\"]\n  7 [size=\"27852800\", alpha=\"0.10\", expect_size=\"8355840\"] \n  7 -> 10 [size =\"8355840\"]\n  8 [size=\"68884480\", alpha=\"0.15\", expect_size=\"20665344\"] \n  8 -> 11 [size =\"20665344\"]\n  9 [size=\"73925973\", alpha=\"0.10\", expect_size=\"22177792\"] \n  9 -> 11 [size =\"22177792\"]\n  9 -> 12 [size =\"22177792\"]\n  10 [size=\"118278827\", alpha=\"0.14\", expect_size=\"35483648\"] \n  10 -> 13 [size =\"35483648\"]\n  10 -> 15 [size =\"35483648\"]\n  11 [size=\"152528213\", alpha=\"0.17\", expect_size=\"45758464\"] \n  11 -> 13 [size =\"45758464\"]\n  11 -> 14 [size =\"45758464\"]\n  11 -> 15 [size =\"45758464\"]\n  11 -> 16 [size =\"45758464\"]\n  12 [size=\"101819733\", alpha=\"0.16\", expect_size=\"30545920\"] \n  13 [size=\"144186027\", alpha=\"0.16\", expect_size=\"43255808\"] \n  13 -> 18 [size =\"43255808\"]\n  14 [size=\"24958293\", alpha=\"0.15\", expect_size=\"7487488\"] \n  15 [size=\"64488107\", alpha=\"0.02\", expect_size=\"19346432\"] \n  15 -> 17 [size =\"19346432\"]\n  15 -> 19 [size =\"19346432\"]\n  16 [size=\"83350187\", alpha=\"0.15\", expect_size=\"25005056\"] \n  16 -> 18 [size =\"25005056\"]\n  17 [size=\"119019520\", alpha=\"0.16\", expect_size=\"35705856\"] \n  18 [size=\"43062613\", alpha=\"0.15\", expect_size=\"12918784\"] \n  19 [size=\"160768000\", alpha=\"0.13\", expect_size=\"48230400\"] \n  19 -> 20 [size =\"48230400\"]\n  20 [size=\"85418667\", alpha=\"0.03\", expect_size=\"25625600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21790720\", alpha=\"0.03\", expect_size=\"8716288\"] \n  1 -> 9 [size =\"8716288\"]\n  1 -> 10 [size =\"8716288\"]\n  1 -> 11 [size =\"8716288\"]\n  1 -> 14 [size =\"8716288\"]\n  2 [size=\"45862400\", alpha=\"0.17\", expect_size=\"18344960\"] \n  2 -> 9 [size =\"18344960\"]\n  2 -> 14 [size =\"18344960\"]\n  3 [size=\"47429120\", alpha=\"0.09\", expect_size=\"18971648\"] \n  3 -> 8 [size =\"18971648\"]\n  3 -> 9 [size =\"18971648\"]\n  3 -> 10 [size =\"18971648\"]\n  3 -> 12 [size =\"18971648\"]\n  3 -> 14 [size =\"18971648\"]\n  3 -> 15 [size =\"18971648\"]\n  4 [size=\"31249920\", alpha=\"0.20\", expect_size=\"12499968\"] \n  4 -> 10 [size =\"12499968\"]\n  4 -> 11 [size =\"12499968\"]\n  4 -> 14 [size =\"12499968\"]\n  5 [size=\"66472960\", alpha=\"0.05\", expect_size=\"26589184\"] \n  5 -> 8 [size =\"26589184\"]\n  5 -> 10 [size =\"26589184\"]\n  5 -> 12 [size =\"26589184\"]\n  5 -> 15 [size =\"26589184\"]\n  6 [size=\"58362880\", alpha=\"0.00\", expect_size=\"23345152\"] \n  6 -> 9 [size =\"23345152\"]\n  6 -> 10 [size =\"23345152\"]\n  6 -> 13 [size =\"23345152\"]\n  7 [size=\"61301760\", alpha=\"0.14\", expect_size=\"24520704\"] \n  7 -> 8 [size =\"24520704\"]\n  7 -> 10 [size =\"24520704\"]\n  7 -> 11 [size =\"24520704\"]\n  7 -> 12 [size =\"24520704\"]\n  7 -> 14 [size =\"24520704\"]\n  8 [size=\"115584000\", alpha=\"0.08\", expect_size=\"46233600\"] \n  8 -> 16 [size =\"46233600\"]\n  8 -> 17 [size =\"46233600\"]\n  8 -> 19 [size =\"46233600\"]\n  9 [size=\"124121600\", alpha=\"0.15\", expect_size=\"49648640\"] \n  9 -> 16 [size =\"49648640\"]\n  9 -> 17 [size =\"49648640\"]\n  9 -> 18 [size =\"49648640\"]\n  9 -> 19 [size =\"49648640\"]\n  10 [size=\"97692160\", alpha=\"0.08\", expect_size=\"39076864\"] \n  10 -> 16 [size =\"39076864\"]\n  10 -> 19 [size =\"39076864\"]\n  10 -> 20 [size =\"39076864\"]\n  11 [size=\"93414400\", alpha=\"0.19\", expect_size=\"37365760\"] \n  11 -> 16 [size =\"37365760\"]\n  11 -> 17 [size =\"37365760\"]\n  11 -> 18 [size =\"37365760\"]\n  11 -> 19 [size =\"37365760\"]\n  11 -> 20 [size =\"37365760\"]\n  12 [size=\"111093760\", alpha=\"0.06\", expect_size=\"44437504\"] \n  12 -> 17 [size =\"44437504\"]\n  12 -> 18 [size =\"44437504\"]\n  12 -> 19 [size =\"44437504\"]\n  12 -> 20 [size =\"44437504\"]\n  13 [size=\"93040640\", alpha=\"0.13\", expect_size=\"37216256\"] \n  13 -> 18 [size =\"37216256\"]\n  13 -> 19 [size =\"37216256\"]\n  13 -> 20 [size =\"37216256\"]\n  14 [size=\"29352960\", alpha=\"0.09\", expect_size=\"11741184\"] \n  14 -> 16 [size =\"11741184\"]\n  14 -> 20 [size =\"11741184\"]\n  15 [size=\"26467840\", alpha=\"0.16\", expect_size=\"10587136\"] \n  15 -> 17 [size =\"10587136\"]\n  15 -> 18 [size =\"10587136\"]\n  15 -> 19 [size =\"10587136\"]\n  15 -> 20 [size =\"10587136\"]\n  16 [size=\"55400960\", alpha=\"0.16\", expect_size=\"22160384\"] \n  17 [size=\"56204800\", alpha=\"0.01\", expect_size=\"22481920\"] \n  18 [size=\"23603200\", alpha=\"0.11\", expect_size=\"9441280\"] \n  19 [size=\"73638400\", alpha=\"0.12\", expect_size=\"29455360\"] \n  20 [size=\"42086400\", alpha=\"0.14\", expect_size=\"16834560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28074667\", alpha=\"0.18\", expect_size=\"8422400\"] \n  1 -> 19 [size =\"8422400\"]\n  2 [size=\"110202880\", alpha=\"0.19\", expect_size=\"33060864\"] \n  3 [size=\"89132373\", alpha=\"0.07\", expect_size=\"26739712\"] \n  3 -> 18 [size =\"26739712\"]\n  3 -> 20 [size =\"26739712\"]\n  4 [size=\"61692587\", alpha=\"0.18\", expect_size=\"18507776\"] \n  4 -> 18 [size =\"18507776\"]\n  4 -> 19 [size =\"18507776\"]\n  4 -> 20 [size =\"18507776\"]\n  5 [size=\"167758507\", alpha=\"0.14\", expect_size=\"50327552\"] \n  5 -> 18 [size =\"50327552\"]\n  5 -> 19 [size =\"50327552\"]\n  6 [size=\"138577920\", alpha=\"0.16\", expect_size=\"41573376\"] \n  6 -> 19 [size =\"41573376\"]\n  7 [size=\"40598187\", alpha=\"0.13\", expect_size=\"12179456\"] \n  7 -> 18 [size =\"12179456\"]\n  7 -> 19 [size =\"12179456\"]\n  8 [size=\"89917440\", alpha=\"0.19\", expect_size=\"26975232\"] \n  8 -> 18 [size =\"26975232\"]\n  8 -> 19 [size =\"26975232\"]\n  8 -> 20 [size =\"26975232\"]\n  9 [size=\"70560427\", alpha=\"0.05\", expect_size=\"21168128\"] \n  9 -> 18 [size =\"21168128\"]\n  9 -> 19 [size =\"21168128\"]\n  10 [size=\"151647573\", alpha=\"0.00\", expect_size=\"45494272\"] \n  10 -> 18 [size =\"45494272\"]\n  11 [size=\"73823573\", alpha=\"0.14\", expect_size=\"22147072\"] \n  11 -> 18 [size =\"22147072\"]\n  11 -> 20 [size =\"22147072\"]\n  12 [size=\"61805227\", alpha=\"0.14\", expect_size=\"18541568\"] \n  12 -> 18 [size =\"18541568\"]\n  12 -> 19 [size =\"18541568\"]\n  13 [size=\"52592640\", alpha=\"0.04\", expect_size=\"15777792\"] \n  13 -> 18 [size =\"15777792\"]\n  14 [size=\"109994667\", alpha=\"0.13\", expect_size=\"32998400\"] \n  14 -> 19 [size =\"32998400\"]\n  15 [size=\"90548907\", alpha=\"0.10\", expect_size=\"27164672\"] \n  16 [size=\"43837440\", alpha=\"0.05\", expect_size=\"13151232\"] \n  16 -> 19 [size =\"13151232\"]\n  16 -> 20 [size =\"13151232\"]\n  17 [size=\"171557547\", alpha=\"0.06\", expect_size=\"51467264\"] \n  17 -> 18 [size =\"51467264\"]\n  17 -> 19 [size =\"51467264\"]\n  18 [size=\"120388267\", alpha=\"0.12\", expect_size=\"36116480\"] \n  19 [size=\"112469333\", alpha=\"0.19\", expect_size=\"33740800\"] \n  20 [size=\"149299200\", alpha=\"0.07\", expect_size=\"44789760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74227712\", alpha=\"0.16\", expect_size=\"37113856\"] \n  1 -> 20 [size =\"37113856\"]\n  2 [size=\"60936192\", alpha=\"0.11\", expect_size=\"30468096\"] \n  3 [size=\"64350208\", alpha=\"0.18\", expect_size=\"32175104\"] \n  3 -> 19 [size =\"32175104\"]\n  4 [size=\"68061184\", alpha=\"0.10\", expect_size=\"34030592\"] \n  4 -> 19 [size =\"34030592\"]\n  5 [size=\"99670016\", alpha=\"0.11\", expect_size=\"49835008\"] \n  6 [size=\"86573056\", alpha=\"0.13\", expect_size=\"43286528\"] \n  6 -> 19 [size =\"43286528\"]\n  6 -> 20 [size =\"43286528\"]\n  7 [size=\"38909952\", alpha=\"0.02\", expect_size=\"19454976\"] \n  8 [size=\"30707712\", alpha=\"0.18\", expect_size=\"15353856\"] \n  9 [size=\"36050944\", alpha=\"0.09\", expect_size=\"18025472\"] \n  9 -> 19 [size =\"18025472\"]\n  10 [size=\"57425920\", alpha=\"0.09\", expect_size=\"28712960\"] \n  10 -> 19 [size =\"28712960\"]\n  11 [size=\"41826304\", alpha=\"0.16\", expect_size=\"20913152\"] \n  12 [size=\"22536192\", alpha=\"0.00\", expect_size=\"11268096\"] \n  12 -> 20 [size =\"11268096\"]\n  13 [size=\"73125888\", alpha=\"0.13\", expect_size=\"36562944\"] \n  14 [size=\"62679040\", alpha=\"0.18\", expect_size=\"31339520\"] \n  14 -> 19 [size =\"31339520\"]\n  14 -> 20 [size =\"31339520\"]\n  15 [size=\"14194688\", alpha=\"0.14\", expect_size=\"7097344\"] \n  15 -> 20 [size =\"7097344\"]\n  16 [size=\"68329472\", alpha=\"0.07\", expect_size=\"34164736\"] \n  16 -> 19 [size =\"34164736\"]\n  17 [size=\"34766848\", alpha=\"0.20\", expect_size=\"17383424\"] \n  17 -> 19 [size =\"17383424\"]\n  18 [size=\"43296768\", alpha=\"0.05\", expect_size=\"21648384\"] \n  18 -> 19 [size =\"21648384\"]\n  19 [size=\"35745792\", alpha=\"0.20\", expect_size=\"17872896\"] \n  20 [size=\"76593152\", alpha=\"0.04\", expect_size=\"38296576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17687893\", alpha=\"0.20\", expect_size=\"5306368\"] \n  1 -> 8 [size =\"5306368\"]\n  1 -> 10 [size =\"5306368\"]\n  1 -> 12 [size =\"5306368\"]\n  1 -> 14 [size =\"5306368\"]\n  2 [size=\"88572587\", alpha=\"0.14\", expect_size=\"26571776\"] \n  2 -> 7 [size =\"26571776\"]\n  2 -> 10 [size =\"26571776\"]\n  2 -> 11 [size =\"26571776\"]\n  2 -> 12 [size =\"26571776\"]\n  2 -> 14 [size =\"26571776\"]\n  3 [size=\"144660480\", alpha=\"0.09\", expect_size=\"43398144\"] \n  3 -> 11 [size =\"43398144\"]\n  3 -> 12 [size =\"43398144\"]\n  4 [size=\"28945067\", alpha=\"0.09\", expect_size=\"8683520\"] \n  4 -> 7 [size =\"8683520\"]\n  4 -> 8 [size =\"8683520\"]\n  4 -> 12 [size =\"8683520\"]\n  4 -> 13 [size =\"8683520\"]\n  4 -> 14 [size =\"8683520\"]\n  5 [size=\"52609707\", alpha=\"0.17\", expect_size=\"15782912\"] \n  5 -> 11 [size =\"15782912\"]\n  5 -> 12 [size =\"15782912\"]\n  5 -> 13 [size =\"15782912\"]\n  6 [size=\"26702507\", alpha=\"0.09\", expect_size=\"8010752\"] \n  6 -> 8 [size =\"8010752\"]\n  6 -> 9 [size =\"8010752\"]\n  6 -> 11 [size =\"8010752\"]\n  6 -> 12 [size =\"8010752\"]\n  7 [size=\"57204053\", alpha=\"0.19\", expect_size=\"17161216\"] \n  7 -> 15 [size =\"17161216\"]\n  7 -> 16 [size =\"17161216\"]\n  7 -> 18 [size =\"17161216\"]\n  7 -> 18 [size =\"17161216\"]\n  7 -> 19 [size =\"17161216\"]\n  8 [size=\"138328747\", alpha=\"0.04\", expect_size=\"41498624\"] \n  8 -> 15 [size =\"41498624\"]\n  8 -> 16 [size =\"41498624\"]\n  8 -> 19 [size =\"41498624\"]\n  9 [size=\"118173013\", alpha=\"0.13\", expect_size=\"35451904\"] \n  9 -> 15 [size =\"35451904\"]\n  9 -> 16 [size =\"35451904\"]\n  9 -> 18 [size =\"35451904\"]\n  9 -> 19 [size =\"35451904\"]\n  10 [size=\"165963093\", alpha=\"0.06\", expect_size=\"49788928\"] \n  10 -> 15 [size =\"49788928\"]\n  10 -> 16 [size =\"49788928\"]\n  10 -> 19 [size =\"49788928\"]\n  11 [size=\"132177920\", alpha=\"0.10\", expect_size=\"39653376\"] \n  11 -> 17 [size =\"39653376\"]\n  12 [size=\"129276587\", alpha=\"0.02\", expect_size=\"38782976\"] \n  12 -> 15 [size =\"38782976\"]\n  12 -> 18 [size =\"38782976\"]\n  13 [size=\"80226987\", alpha=\"0.11\", expect_size=\"24068096\"] \n  13 -> 15 [size =\"24068096\"]\n  13 -> 18 [size =\"24068096\"]\n  13 -> 19 [size =\"24068096\"]\n  14 [size=\"149678080\", alpha=\"0.03\", expect_size=\"44903424\"] \n  14 -> 15 [size =\"44903424\"]\n  14 -> 16 [size =\"44903424\"]\n  14 -> 17 [size =\"44903424\"]\n  14 -> 18 [size =\"44903424\"]\n  14 -> 19 [size =\"44903424\"]\n  14 -> 20 [size =\"44903424\"]\n  15 [size=\"61207893\", alpha=\"0.02\", expect_size=\"18362368\"] \n  16 [size=\"36980053\", alpha=\"0.01\", expect_size=\"11094016\"] \n  17 [size=\"109240320\", alpha=\"0.02\", expect_size=\"32772096\"] \n  18 [size=\"104973653\", alpha=\"0.20\", expect_size=\"31492096\"] \n  19 [size=\"138038613\", alpha=\"0.03\", expect_size=\"41411584\"] \n  20 [size=\"82834773\", alpha=\"0.10\", expect_size=\"24850432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64997376\", alpha=\"0.18\", expect_size=\"32498688\"] \n  1 -> 2 [size =\"32498688\"]\n  2 [size=\"74960896\", alpha=\"0.06\", expect_size=\"37480448\"] \n  2 -> 3 [size =\"37480448\"]\n  3 [size=\"66295808\", alpha=\"0.16\", expect_size=\"33147904\"] \n  3 -> 4 [size =\"33147904\"]\n  4 [size=\"32251904\", alpha=\"0.14\", expect_size=\"16125952\"] \n  4 -> 5 [size =\"16125952\"]\n  5 [size=\"77819904\", alpha=\"0.07\", expect_size=\"38909952\"] \n  5 -> 6 [size =\"38909952\"]\n  6 [size=\"33169408\", alpha=\"0.10\", expect_size=\"16584704\"] \n  6 -> 7 [size =\"16584704\"]\n  7 [size=\"53045248\", alpha=\"0.20\", expect_size=\"26522624\"] \n  7 -> 8 [size =\"26522624\"]\n  8 [size=\"45559808\", alpha=\"0.07\", expect_size=\"22779904\"] \n  8 -> 9 [size =\"22779904\"]\n  9 [size=\"63102976\", alpha=\"0.09\", expect_size=\"31551488\"] \n  9 -> 10 [size =\"31551488\"]\n  10 [size=\"43425792\", alpha=\"0.08\", expect_size=\"21712896\"] \n  10 -> 11 [size =\"21712896\"]\n  11 [size=\"70025216\", alpha=\"0.04\", expect_size=\"35012608\"] \n  11 -> 12 [size =\"35012608\"]\n  12 [size=\"59678720\", alpha=\"0.08\", expect_size=\"29839360\"] \n  12 -> 13 [size =\"29839360\"]\n  13 [size=\"90277888\", alpha=\"0.08\", expect_size=\"45138944\"] \n  13 -> 14 [size =\"45138944\"]\n  14 [size=\"70262784\", alpha=\"0.11\", expect_size=\"35131392\"] \n  14 -> 15 [size =\"35131392\"]\n  15 [size=\"43147264\", alpha=\"0.01\", expect_size=\"21573632\"] \n  15 -> 16 [size =\"21573632\"]\n  16 [size=\"75763712\", alpha=\"0.20\", expect_size=\"37881856\"] \n  16 -> 17 [size =\"37881856\"]\n  17 [size=\"29472768\", alpha=\"0.04\", expect_size=\"14736384\"] \n  17 -> 18 [size =\"14736384\"]\n  18 [size=\"27148288\", alpha=\"0.14\", expect_size=\"13574144\"] \n  18 -> 19 [size =\"13574144\"]\n  19 [size=\"58908672\", alpha=\"0.01\", expect_size=\"29454336\"] \n  19 -> 20 [size =\"29454336\"]\n  20 [size=\"102520832\", alpha=\"0.05\", expect_size=\"51260416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139629227\", alpha=\"0.07\", expect_size=\"41888768\"] \n  1 -> 6 [size =\"41888768\"]\n  1 -> 8 [size =\"41888768\"]\n  1 -> 10 [size =\"41888768\"]\n  1 -> 12 [size =\"41888768\"]\n  1 -> 13 [size =\"41888768\"]\n  1 -> 14 [size =\"41888768\"]\n  2 [size=\"157467307\", alpha=\"0.18\", expect_size=\"47240192\"] \n  2 -> 7 [size =\"47240192\"]\n  2 -> 8 [size =\"47240192\"]\n  2 -> 10 [size =\"47240192\"]\n  2 -> 12 [size =\"47240192\"]\n  3 [size=\"39519573\", alpha=\"0.12\", expect_size=\"11855872\"] \n  3 -> 7 [size =\"11855872\"]\n  3 -> 9 [size =\"11855872\"]\n  3 -> 11 [size =\"11855872\"]\n  3 -> 12 [size =\"11855872\"]\n  3 -> 15 [size =\"11855872\"]\n  4 [size=\"122808320\", alpha=\"0.18\", expect_size=\"36842496\"] \n  4 -> 8 [size =\"36842496\"]\n  4 -> 13 [size =\"36842496\"]\n  4 -> 14 [size =\"36842496\"]\n  5 [size=\"104277333\", alpha=\"0.08\", expect_size=\"31283200\"] \n  5 -> 6 [size =\"31283200\"]\n  5 -> 7 [size =\"31283200\"]\n  5 -> 10 [size =\"31283200\"]\n  5 -> 11 [size =\"31283200\"]\n  5 -> 12 [size =\"31283200\"]\n  5 -> 14 [size =\"31283200\"]\n  5 -> 15 [size =\"31283200\"]\n  6 [size=\"67768320\", alpha=\"0.15\", expect_size=\"20330496\"] \n  6 -> 18 [size =\"20330496\"]\n  7 [size=\"89118720\", alpha=\"0.09\", expect_size=\"26735616\"] \n  7 -> 18 [size =\"26735616\"]\n  7 -> 20 [size =\"26735616\"]\n  8 [size=\"44216320\", alpha=\"0.10\", expect_size=\"13264896\"] \n  8 -> 16 [size =\"13264896\"]\n  8 -> 20 [size =\"13264896\"]\n  9 [size=\"80718507\", alpha=\"0.07\", expect_size=\"24215552\"] \n  9 -> 16 [size =\"24215552\"]\n  9 -> 20 [size =\"24215552\"]\n  10 [size=\"156491093\", alpha=\"0.04\", expect_size=\"46947328\"] \n  10 -> 16 [size =\"46947328\"]\n  10 -> 18 [size =\"46947328\"]\n  10 -> 20 [size =\"46947328\"]\n  11 [size=\"76352853\", alpha=\"0.02\", expect_size=\"22905856\"] \n  11 -> 16 [size =\"22905856\"]\n  11 -> 18 [size =\"22905856\"]\n  11 -> 19 [size =\"22905856\"]\n  11 -> 20 [size =\"22905856\"]\n  12 [size=\"132730880\", alpha=\"0.08\", expect_size=\"39819264\"] \n  12 -> 16 [size =\"39819264\"]\n  13 [size=\"117357227\", alpha=\"0.07\", expect_size=\"35207168\"] \n  13 -> 16 [size =\"35207168\"]\n  14 [size=\"51240960\", alpha=\"0.03\", expect_size=\"15372288\"] \n  14 -> 16 [size =\"15372288\"]\n  14 -> 17 [size =\"15372288\"]\n  14 -> 20 [size =\"15372288\"]\n  15 [size=\"34314240\", alpha=\"0.16\", expect_size=\"10294272\"] \n  15 -> 20 [size =\"10294272\"]\n  16 [size=\"95501653\", alpha=\"0.08\", expect_size=\"28650496\"] \n  17 [size=\"53329920\", alpha=\"0.04\", expect_size=\"15998976\"] \n  18 [size=\"122040320\", alpha=\"0.00\", expect_size=\"36612096\"] \n  19 [size=\"47250773\", alpha=\"0.10\", expect_size=\"14175232\"] \n  20 [size=\"106158080\", alpha=\"0.03\", expect_size=\"31847424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34870613\", alpha=\"0.10\", expect_size=\"10461184\"] \n  1 -> 5 [size =\"10461184\"]\n  1 -> 6 [size =\"10461184\"]\n  1 -> 7 [size =\"10461184\"]\n  2 [size=\"65884160\", alpha=\"0.08\", expect_size=\"19765248\"] \n  2 -> 4 [size =\"19765248\"]\n  3 [size=\"91456853\", alpha=\"0.07\", expect_size=\"27437056\"] \n  3 -> 5 [size =\"27437056\"]\n  3 -> 6 [size =\"27437056\"]\n  4 [size=\"91234987\", alpha=\"0.08\", expect_size=\"27370496\"] \n  4 -> 9 [size =\"27370496\"]\n  5 [size=\"49527467\", alpha=\"0.18\", expect_size=\"14858240\"] \n  5 -> 9 [size =\"14858240\"]\n  6 [size=\"105765547\", alpha=\"0.04\", expect_size=\"31729664\"] \n  6 -> 8 [size =\"31729664\"]\n  6 -> 10 [size =\"31729664\"]\n  7 [size=\"37338453\", alpha=\"0.19\", expect_size=\"11201536\"] \n  7 -> 11 [size =\"11201536\"]\n  8 [size=\"141707947\", alpha=\"0.20\", expect_size=\"42512384\"] \n  8 -> 13 [size =\"42512384\"]\n  9 [size=\"35126613\", alpha=\"0.13\", expect_size=\"10537984\"] \n  9 -> 12 [size =\"10537984\"]\n  9 -> 14 [size =\"10537984\"]\n  10 [size=\"128754347\", alpha=\"0.18\", expect_size=\"38626304\"] \n  10 -> 12 [size =\"38626304\"]\n  11 [size=\"97215147\", alpha=\"0.16\", expect_size=\"29164544\"] \n  11 -> 13 [size =\"29164544\"]\n  11 -> 14 [size =\"29164544\"]\n  12 [size=\"20544853\", alpha=\"0.15\", expect_size=\"6163456\"] \n  12 -> 15 [size =\"6163456\"]\n  12 -> 16 [size =\"6163456\"]\n  13 [size=\"83872427\", alpha=\"0.13\", expect_size=\"25161728\"] \n  13 -> 15 [size =\"25161728\"]\n  13 -> 16 [size =\"25161728\"]\n  13 -> 17 [size =\"25161728\"]\n  14 [size=\"142793387\", alpha=\"0.14\", expect_size=\"42838016\"] \n  14 -> 17 [size =\"42838016\"]\n  15 [size=\"50995200\", alpha=\"0.02\", expect_size=\"15298560\"] \n  15 -> 19 [size =\"15298560\"]\n  16 [size=\"31365120\", alpha=\"0.16\", expect_size=\"9409536\"] \n  16 -> 20 [size =\"9409536\"]\n  17 [size=\"59248640\", alpha=\"0.11\", expect_size=\"17774592\"] \n  17 -> 18 [size =\"17774592\"]\n  17 -> 20 [size =\"17774592\"]\n  18 [size=\"50090667\", alpha=\"0.15\", expect_size=\"15027200\"] \n  19 [size=\"49988267\", alpha=\"0.05\", expect_size=\"14996480\"] \n  20 [size=\"150159360\", alpha=\"0.04\", expect_size=\"45047808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96662187\", alpha=\"0.18\", expect_size=\"28998656\"] \n  1 -> 2 [size =\"28998656\"]\n  1 -> 3 [size =\"28998656\"]\n  2 [size=\"78714880\", alpha=\"0.12\", expect_size=\"23614464\"] \n  2 -> 4 [size =\"23614464\"]\n  2 -> 5 [size =\"23614464\"]\n  3 [size=\"58794667\", alpha=\"0.04\", expect_size=\"17638400\"] \n  3 -> 5 [size =\"17638400\"]\n  4 [size=\"114827947\", alpha=\"0.12\", expect_size=\"34448384\"] \n  4 -> 6 [size =\"34448384\"]\n  4 -> 7 [size =\"34448384\"]\n  5 [size=\"51141973\", alpha=\"0.14\", expect_size=\"15342592\"] \n  5 -> 6 [size =\"15342592\"]\n  5 -> 7 [size =\"15342592\"]\n  6 [size=\"74065920\", alpha=\"0.17\", expect_size=\"22219776\"] \n  6 -> 8 [size =\"22219776\"]\n  6 -> 9 [size =\"22219776\"]\n  7 [size=\"86360747\", alpha=\"0.11\", expect_size=\"25908224\"] \n  7 -> 8 [size =\"25908224\"]\n  7 -> 9 [size =\"25908224\"]\n  8 [size=\"174039040\", alpha=\"0.16\", expect_size=\"52211712\"] \n  8 -> 10 [size =\"52211712\"]\n  9 [size=\"148043093\", alpha=\"0.19\", expect_size=\"44412928\"] \n  9 -> 10 [size =\"44412928\"]\n  10 [size=\"144848213\", alpha=\"0.03\", expect_size=\"43454464\"] \n  10 -> 11 [size =\"43454464\"]\n  10 -> 12 [size =\"43454464\"]\n  11 [size=\"109643093\", alpha=\"0.00\", expect_size=\"32892928\"] \n  11 -> 13 [size =\"32892928\"]\n  12 [size=\"92682240\", alpha=\"0.09\", expect_size=\"27804672\"] \n  12 -> 13 [size =\"27804672\"]\n  13 [size=\"29006507\", alpha=\"0.20\", expect_size=\"8701952\"] \n  13 -> 14 [size =\"8701952\"]\n  14 [size=\"56674987\", alpha=\"0.08\", expect_size=\"17002496\"] \n  14 -> 15 [size =\"17002496\"]\n  14 -> 16 [size =\"17002496\"]\n  15 [size=\"149947733\", alpha=\"0.16\", expect_size=\"44984320\"] \n  15 -> 17 [size =\"44984320\"]\n  16 [size=\"101195093\", alpha=\"0.09\", expect_size=\"30358528\"] \n  16 -> 17 [size =\"30358528\"]\n  16 -> 18 [size =\"30358528\"]\n  17 [size=\"78445227\", alpha=\"0.01\", expect_size=\"23533568\"] \n  17 -> 19 [size =\"23533568\"]\n  18 [size=\"166239573\", alpha=\"0.05\", expect_size=\"49871872\"] \n  18 -> 19 [size =\"49871872\"]\n  19 [size=\"135089493\", alpha=\"0.20\", expect_size=\"40526848\"] \n  19 -> 20 [size =\"40526848\"]\n  20 [size=\"123856213\", alpha=\"0.14\", expect_size=\"37156864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17035264\", alpha=\"0.17\", expect_size=\"8517632\"] \n  1 -> 2 [size =\"8517632\"]\n  2 [size=\"38823936\", alpha=\"0.19\", expect_size=\"19411968\"] \n  2 -> 3 [size =\"19411968\"]\n  2 -> 4 [size =\"19411968\"]\n  3 [size=\"101881856\", alpha=\"0.03\", expect_size=\"50940928\"] \n  3 -> 6 [size =\"50940928\"]\n  4 [size=\"83048448\", alpha=\"0.13\", expect_size=\"41524224\"] \n  4 -> 5 [size =\"41524224\"]\n  5 [size=\"13697024\", alpha=\"0.06\", expect_size=\"6848512\"] \n  5 -> 8 [size =\"6848512\"]\n  6 [size=\"63303680\", alpha=\"0.15\", expect_size=\"31651840\"] \n  6 -> 7 [size =\"31651840\"]\n  6 -> 8 [size =\"31651840\"]\n  7 [size=\"63561728\", alpha=\"0.01\", expect_size=\"31780864\"] \n  7 -> 10 [size =\"31780864\"]\n  8 [size=\"45047808\", alpha=\"0.01\", expect_size=\"22523904\"] \n  8 -> 9 [size =\"22523904\"]\n  8 -> 10 [size =\"22523904\"]\n  9 [size=\"14895104\", alpha=\"0.12\", expect_size=\"7447552\"] \n  9 -> 11 [size =\"7447552\"]\n  9 -> 12 [size =\"7447552\"]\n  10 [size=\"36786176\", alpha=\"0.02\", expect_size=\"18393088\"] \n  11 [size=\"88442880\", alpha=\"0.14\", expect_size=\"44221440\"] \n  11 -> 14 [size =\"44221440\"]\n  12 [size=\"73138176\", alpha=\"0.19\", expect_size=\"36569088\"] \n  12 -> 13 [size =\"36569088\"]\n  12 -> 14 [size =\"36569088\"]\n  13 [size=\"70289408\", alpha=\"0.10\", expect_size=\"35144704\"] \n  13 -> 15 [size =\"35144704\"]\n  14 [size=\"85428224\", alpha=\"0.11\", expect_size=\"42714112\"] \n  14 -> 15 [size =\"42714112\"]\n  15 [size=\"53045248\", alpha=\"0.04\", expect_size=\"26522624\"] \n  15 -> 16 [size =\"26522624\"]\n  15 -> 17 [size =\"26522624\"]\n  16 [size=\"78997504\", alpha=\"0.04\", expect_size=\"39498752\"] \n  16 -> 18 [size =\"39498752\"]\n  17 [size=\"55185408\", alpha=\"0.11\", expect_size=\"27592704\"] \n  18 [size=\"58572800\", alpha=\"0.11\", expect_size=\"29286400\"] \n  18 -> 19 [size =\"29286400\"]\n  18 -> 20 [size =\"29286400\"]\n  19 [size=\"61943808\", alpha=\"0.02\", expect_size=\"30971904\"] \n  20 [size=\"24864768\", alpha=\"0.06\", expect_size=\"12432384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60675413\", alpha=\"0.17\", expect_size=\"18202624\"] \n  1 -> 6 [size =\"18202624\"]\n  1 -> 7 [size =\"18202624\"]\n  1 -> 8 [size =\"18202624\"]\n  2 [size=\"145390933\", alpha=\"0.07\", expect_size=\"43617280\"] \n  2 -> 5 [size =\"43617280\"]\n  2 -> 8 [size =\"43617280\"]\n  3 [size=\"76475733\", alpha=\"0.16\", expect_size=\"22942720\"] \n  3 -> 6 [size =\"22942720\"]\n  4 [size=\"52548267\", alpha=\"0.10\", expect_size=\"15764480\"] \n  4 -> 5 [size =\"15764480\"]\n  4 -> 7 [size =\"15764480\"]\n  4 -> 8 [size =\"15764480\"]\n  5 [size=\"73895253\", alpha=\"0.06\", expect_size=\"22168576\"] \n  5 -> 10 [size =\"22168576\"]\n  5 -> 11 [size =\"22168576\"]\n  6 [size=\"156122453\", alpha=\"0.18\", expect_size=\"46836736\"] \n  6 -> 9 [size =\"46836736\"]\n  6 -> 11 [size =\"46836736\"]\n  7 [size=\"95737173\", alpha=\"0.14\", expect_size=\"28721152\"] \n  7 -> 9 [size =\"28721152\"]\n  7 -> 10 [size =\"28721152\"]\n  8 [size=\"167703893\", alpha=\"0.07\", expect_size=\"50311168\"] \n  8 -> 10 [size =\"50311168\"]\n  9 [size=\"143121067\", alpha=\"0.20\", expect_size=\"42936320\"] \n  10 [size=\"50131627\", alpha=\"0.07\", expect_size=\"15039488\"] \n  10 -> 12 [size =\"15039488\"]\n  10 -> 13 [size =\"15039488\"]\n  11 [size=\"147892907\", alpha=\"0.10\", expect_size=\"44367872\"] \n  11 -> 12 [size =\"44367872\"]\n  11 -> 13 [size =\"44367872\"]\n  11 -> 14 [size =\"44367872\"]\n  12 [size=\"123060907\", alpha=\"0.11\", expect_size=\"36918272\"] \n  12 -> 15 [size =\"36918272\"]\n  13 [size=\"23968427\", alpha=\"0.15\", expect_size=\"7190528\"] \n  13 -> 15 [size =\"7190528\"]\n  13 -> 17 [size =\"7190528\"]\n  14 [size=\"152866133\", alpha=\"0.17\", expect_size=\"45859840\"] \n  14 -> 16 [size =\"45859840\"]\n  14 -> 17 [size =\"45859840\"]\n  15 [size=\"73656320\", alpha=\"0.05\", expect_size=\"22096896\"] \n  15 -> 18 [size =\"22096896\"]\n  15 -> 20 [size =\"22096896\"]\n  16 [size=\"121282560\", alpha=\"0.13\", expect_size=\"36384768\"] \n  16 -> 19 [size =\"36384768\"]\n  17 [size=\"104970240\", alpha=\"0.16\", expect_size=\"31491072\"] \n  17 -> 20 [size =\"31491072\"]\n  18 [size=\"56422400\", alpha=\"0.10\", expect_size=\"16926720\"] \n  19 [size=\"114903040\", alpha=\"0.15\", expect_size=\"34470912\"] \n  20 [size=\"112687787\", alpha=\"0.06\", expect_size=\"33806336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39098880\", alpha=\"0.06\", expect_size=\"15639552\"] \n  1 -> 2 [size =\"15639552\"]\n  2 [size=\"39121920\", alpha=\"0.18\", expect_size=\"15648768\"] \n  2 -> 3 [size =\"15648768\"]\n  3 [size=\"39498240\", alpha=\"0.14\", expect_size=\"15799296\"] \n  3 -> 4 [size =\"15799296\"]\n  4 [size=\"47544320\", alpha=\"0.01\", expect_size=\"19017728\"] \n  4 -> 5 [size =\"19017728\"]\n  5 [size=\"57244160\", alpha=\"0.14\", expect_size=\"22897664\"] \n  5 -> 6 [size =\"22897664\"]\n  6 [size=\"18055680\", alpha=\"0.01\", expect_size=\"7222272\"] \n  6 -> 7 [size =\"7222272\"]\n  7 [size=\"80417280\", alpha=\"0.05\", expect_size=\"32166912\"] \n  7 -> 8 [size =\"32166912\"]\n  8 [size=\"80509440\", alpha=\"0.01\", expect_size=\"32203776\"] \n  8 -> 9 [size =\"32203776\"]\n  9 [size=\"71526400\", alpha=\"0.10\", expect_size=\"28610560\"] \n  9 -> 10 [size =\"28610560\"]\n  10 [size=\"65786880\", alpha=\"0.17\", expect_size=\"26314752\"] \n  10 -> 11 [size =\"26314752\"]\n  11 [size=\"22883840\", alpha=\"0.15\", expect_size=\"9153536\"] \n  11 -> 12 [size =\"9153536\"]\n  12 [size=\"55774720\", alpha=\"0.14\", expect_size=\"22309888\"] \n  12 -> 13 [size =\"22309888\"]\n  13 [size=\"46650880\", alpha=\"0.02\", expect_size=\"18660352\"] \n  13 -> 14 [size =\"18660352\"]\n  14 [size=\"129909760\", alpha=\"0.09\", expect_size=\"51963904\"] \n  14 -> 15 [size =\"51963904\"]\n  15 [size=\"18030080\", alpha=\"0.10\", expect_size=\"7212032\"] \n  15 -> 16 [size =\"7212032\"]\n  16 [size=\"102366720\", alpha=\"0.01\", expect_size=\"40946688\"] \n  16 -> 17 [size =\"40946688\"]\n  17 [size=\"106329600\", alpha=\"0.15\", expect_size=\"42531840\"] \n  17 -> 18 [size =\"42531840\"]\n  18 [size=\"19806720\", alpha=\"0.10\", expect_size=\"7922688\"] \n  18 -> 19 [size =\"7922688\"]\n  19 [size=\"26270720\", alpha=\"0.19\", expect_size=\"10508288\"] \n  19 -> 20 [size =\"10508288\"]\n  20 [size=\"82337280\", alpha=\"0.05\", expect_size=\"32934912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19978240\", alpha=\"0.15\", expect_size=\"5993472\"] \n  1 -> 12 [size =\"5993472\"]\n  1 -> 13 [size =\"5993472\"]\n  1 -> 18 [size =\"5993472\"]\n  1 -> 19 [size =\"5993472\"]\n  1 -> 20 [size =\"5993472\"]\n  2 [size=\"106414080\", alpha=\"0.05\", expect_size=\"31924224\"] \n  2 -> 12 [size =\"31924224\"]\n  2 -> 14 [size =\"31924224\"]\n  2 -> 17 [size =\"31924224\"]\n  2 -> 18 [size =\"31924224\"]\n  2 -> 20 [size =\"31924224\"]\n  3 [size=\"167809707\", alpha=\"0.01\", expect_size=\"50342912\"] \n  3 -> 13 [size =\"50342912\"]\n  3 -> 18 [size =\"50342912\"]\n  4 [size=\"127109120\", alpha=\"0.16\", expect_size=\"38132736\"] \n  4 -> 15 [size =\"38132736\"]\n  4 -> 16 [size =\"38132736\"]\n  4 -> 18 [size =\"38132736\"]\n  4 -> 19 [size =\"38132736\"]\n  5 [size=\"65689600\", alpha=\"0.19\", expect_size=\"19706880\"] \n  5 -> 13 [size =\"19706880\"]\n  6 [size=\"100747947\", alpha=\"0.05\", expect_size=\"30224384\"] \n  6 -> 14 [size =\"30224384\"]\n  7 [size=\"167325013\", alpha=\"0.07\", expect_size=\"50197504\"] \n  7 -> 14 [size =\"50197504\"]\n  7 -> 15 [size =\"50197504\"]\n  7 -> 17 [size =\"50197504\"]\n  7 -> 20 [size =\"50197504\"]\n  8 [size=\"118848853\", alpha=\"0.12\", expect_size=\"35654656\"] \n  8 -> 13 [size =\"35654656\"]\n  8 -> 20 [size =\"35654656\"]\n  9 [size=\"114623147\", alpha=\"0.18\", expect_size=\"34386944\"] \n  9 -> 13 [size =\"34386944\"]\n  9 -> 18 [size =\"34386944\"]\n  9 -> 20 [size =\"34386944\"]\n  10 [size=\"97235627\", alpha=\"0.03\", expect_size=\"29170688\"] \n  10 -> 20 [size =\"29170688\"]\n  11 [size=\"87978667\", alpha=\"0.12\", expect_size=\"26393600\"] \n  11 -> 16 [size =\"26393600\"]\n  11 -> 19 [size =\"26393600\"]\n  12 [size=\"46574933\", alpha=\"0.12\", expect_size=\"13972480\"] \n  13 [size=\"86292480\", alpha=\"0.12\", expect_size=\"25887744\"] \n  14 [size=\"91975680\", alpha=\"0.15\", expect_size=\"27592704\"] \n  15 [size=\"61962240\", alpha=\"0.08\", expect_size=\"18588672\"] \n  16 [size=\"57736533\", alpha=\"0.03\", expect_size=\"17320960\"] \n  17 [size=\"93399040\", alpha=\"0.13\", expect_size=\"28019712\"] \n  18 [size=\"144902827\", alpha=\"0.12\", expect_size=\"43470848\"] \n  19 [size=\"78817280\", alpha=\"0.09\", expect_size=\"23645184\"] \n  20 [size=\"63539200\", alpha=\"0.10\", expect_size=\"19061760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69523456\", alpha=\"0.02\", expect_size=\"34761728\"] \n  1 -> 15 [size =\"34761728\"]\n  2 [size=\"11642880\", alpha=\"0.07\", expect_size=\"5821440\"] \n  2 -> 15 [size =\"5821440\"]\n  2 -> 17 [size =\"5821440\"]\n  2 -> 18 [size =\"5821440\"]\n  2 -> 19 [size =\"5821440\"]\n  3 [size=\"64555008\", alpha=\"0.11\", expect_size=\"32277504\"] \n  3 -> 14 [size =\"32277504\"]\n  3 -> 15 [size =\"32277504\"]\n  3 -> 18 [size =\"32277504\"]\n  3 -> 19 [size =\"32277504\"]\n  4 [size=\"60325888\", alpha=\"0.18\", expect_size=\"30162944\"] \n  4 -> 16 [size =\"30162944\"]\n  4 -> 17 [size =\"30162944\"]\n  4 -> 18 [size =\"30162944\"]\n  5 [size=\"38647808\", alpha=\"0.07\", expect_size=\"19323904\"] \n  5 -> 14 [size =\"19323904\"]\n  5 -> 15 [size =\"19323904\"]\n  5 -> 18 [size =\"19323904\"]\n  6 [size=\"16926720\", alpha=\"0.11\", expect_size=\"8463360\"] \n  6 -> 14 [size =\"8463360\"]\n  6 -> 18 [size =\"8463360\"]\n  7 [size=\"20832256\", alpha=\"0.05\", expect_size=\"10416128\"] \n  7 -> 15 [size =\"10416128\"]\n  7 -> 17 [size =\"10416128\"]\n  7 -> 19 [size =\"10416128\"]\n  7 -> 20 [size =\"10416128\"]\n  8 [size=\"48353280\", alpha=\"0.11\", expect_size=\"24176640\"] \n  8 -> 16 [size =\"24176640\"]\n  8 -> 17 [size =\"24176640\"]\n  8 -> 19 [size =\"24176640\"]\n  9 [size=\"15620096\", alpha=\"0.02\", expect_size=\"7810048\"] \n  10 [size=\"72321024\", alpha=\"0.11\", expect_size=\"36160512\"] \n  10 -> 14 [size =\"36160512\"]\n  10 -> 15 [size =\"36160512\"]\n  10 -> 16 [size =\"36160512\"]\n  10 -> 18 [size =\"36160512\"]\n  11 [size=\"97908736\", alpha=\"0.03\", expect_size=\"48954368\"] \n  11 -> 17 [size =\"48954368\"]\n  11 -> 18 [size =\"48954368\"]\n  12 [size=\"13860864\", alpha=\"0.18\", expect_size=\"6930432\"] \n  12 -> 15 [size =\"6930432\"]\n  13 [size=\"46706688\", alpha=\"0.01\", expect_size=\"23353344\"] \n  13 -> 14 [size =\"23353344\"]\n  13 -> 16 [size =\"23353344\"]\n  13 -> 17 [size =\"23353344\"]\n  14 [size=\"99704832\", alpha=\"0.01\", expect_size=\"49852416\"] \n  15 [size=\"92211200\", alpha=\"0.12\", expect_size=\"46105600\"] \n  16 [size=\"30468096\", alpha=\"0.05\", expect_size=\"15234048\"] \n  17 [size=\"83478528\", alpha=\"0.18\", expect_size=\"41739264\"] \n  18 [size=\"12384256\", alpha=\"0.16\", expect_size=\"6192128\"] \n  19 [size=\"64737280\", alpha=\"0.02\", expect_size=\"32368640\"] \n  20 [size=\"74881024\", alpha=\"0.07\", expect_size=\"37440512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100692480\", alpha=\"0.13\", expect_size=\"40276992\"] \n  1 -> 2 [size =\"40276992\"]\n  2 [size=\"87395840\", alpha=\"0.20\", expect_size=\"34958336\"] \n  2 -> 3 [size =\"34958336\"]\n  3 [size=\"67141120\", alpha=\"0.06\", expect_size=\"26856448\"] \n  3 -> 4 [size =\"26856448\"]\n  4 [size=\"103293440\", alpha=\"0.09\", expect_size=\"41317376\"] \n  4 -> 5 [size =\"41317376\"]\n  5 [size=\"55436800\", alpha=\"0.04\", expect_size=\"22174720\"] \n  5 -> 6 [size =\"22174720\"]\n  6 [size=\"52357120\", alpha=\"0.13\", expect_size=\"20942848\"] \n  6 -> 7 [size =\"20942848\"]\n  7 [size=\"44554240\", alpha=\"0.09\", expect_size=\"17821696\"] \n  7 -> 8 [size =\"17821696\"]\n  8 [size=\"112432640\", alpha=\"0.05\", expect_size=\"44973056\"] \n  8 -> 9 [size =\"44973056\"]\n  9 [size=\"114549760\", alpha=\"0.04\", expect_size=\"45819904\"] \n  9 -> 10 [size =\"45819904\"]\n  10 [size=\"20346880\", alpha=\"0.05\", expect_size=\"8138752\"] \n  10 -> 11 [size =\"8138752\"]\n  11 [size=\"123714560\", alpha=\"0.09\", expect_size=\"49485824\"] \n  11 -> 12 [size =\"49485824\"]\n  12 [size=\"81372160\", alpha=\"0.06\", expect_size=\"32548864\"] \n  12 -> 13 [size =\"32548864\"]\n  13 [size=\"81326080\", alpha=\"0.09\", expect_size=\"32530432\"] \n  13 -> 14 [size =\"32530432\"]\n  14 [size=\"113832960\", alpha=\"0.19\", expect_size=\"45533184\"] \n  14 -> 15 [size =\"45533184\"]\n  15 [size=\"47152640\", alpha=\"0.03\", expect_size=\"18861056\"] \n  15 -> 16 [size =\"18861056\"]\n  16 [size=\"69542400\", alpha=\"0.07\", expect_size=\"27816960\"] \n  16 -> 17 [size =\"27816960\"]\n  17 [size=\"25943040\", alpha=\"0.14\", expect_size=\"10377216\"] \n  17 -> 18 [size =\"10377216\"]\n  18 [size=\"79208960\", alpha=\"0.18\", expect_size=\"31683584\"] \n  18 -> 19 [size =\"31683584\"]\n  19 [size=\"106859520\", alpha=\"0.17\", expect_size=\"42743808\"] \n  19 -> 20 [size =\"42743808\"]\n  20 [size=\"14282240\", alpha=\"0.08\", expect_size=\"5712896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89251840\", alpha=\"0.07\", expect_size=\"44625920\"] \n  1 -> 20 [size =\"44625920\"]\n  2 [size=\"47640576\", alpha=\"0.11\", expect_size=\"23820288\"] \n  2 -> 20 [size =\"23820288\"]\n  3 [size=\"85291008\", alpha=\"0.12\", expect_size=\"42645504\"] \n  3 -> 20 [size =\"42645504\"]\n  4 [size=\"74000384\", alpha=\"0.13\", expect_size=\"37000192\"] \n  5 [size=\"82362368\", alpha=\"0.01\", expect_size=\"41181184\"] \n  6 [size=\"21952512\", alpha=\"0.04\", expect_size=\"10976256\"] \n  6 -> 20 [size =\"10976256\"]\n  7 [size=\"47718400\", alpha=\"0.01\", expect_size=\"23859200\"] \n  8 [size=\"46376960\", alpha=\"0.09\", expect_size=\"23188480\"] \n  9 [size=\"47009792\", alpha=\"0.19\", expect_size=\"23504896\"] \n  9 -> 20 [size =\"23504896\"]\n  10 [size=\"95696896\", alpha=\"0.17\", expect_size=\"47848448\"] \n  11 [size=\"41150464\", alpha=\"0.05\", expect_size=\"20575232\"] \n  11 -> 20 [size =\"20575232\"]\n  12 [size=\"73598976\", alpha=\"0.18\", expect_size=\"36799488\"] \n  12 -> 20 [size =\"36799488\"]\n  13 [size=\"28887040\", alpha=\"0.18\", expect_size=\"14443520\"] \n  13 -> 20 [size =\"14443520\"]\n  14 [size=\"85250048\", alpha=\"0.00\", expect_size=\"42625024\"] \n  14 -> 20 [size =\"42625024\"]\n  15 [size=\"49870848\", alpha=\"0.18\", expect_size=\"24935424\"] \n  16 [size=\"56406016\", alpha=\"0.07\", expect_size=\"28203008\"] \n  16 -> 20 [size =\"28203008\"]\n  17 [size=\"75823104\", alpha=\"0.03\", expect_size=\"37911552\"] \n  17 -> 20 [size =\"37911552\"]\n  18 [size=\"80928768\", alpha=\"0.10\", expect_size=\"40464384\"] \n  18 -> 20 [size =\"40464384\"]\n  19 [size=\"30687232\", alpha=\"0.11\", expect_size=\"15343616\"] \n  19 -> 20 [size =\"15343616\"]\n  20 [size=\"28092416\", alpha=\"0.06\", expect_size=\"14046208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17853440\", alpha=\"0.09\", expect_size=\"7141376\"] \n  1 -> 2 [size =\"7141376\"]\n  2 [size=\"27768320\", alpha=\"0.09\", expect_size=\"11107328\"] \n  2 -> 3 [size =\"11107328\"]\n  3 [size=\"108561920\", alpha=\"0.13\", expect_size=\"43424768\"] \n  3 -> 4 [size =\"43424768\"]\n  4 [size=\"76136960\", alpha=\"0.05\", expect_size=\"30454784\"] \n  4 -> 5 [size =\"30454784\"]\n  5 [size=\"46571520\", alpha=\"0.06\", expect_size=\"18628608\"] \n  5 -> 6 [size =\"18628608\"]\n  6 [size=\"130713600\", alpha=\"0.04\", expect_size=\"52285440\"] \n  6 -> 7 [size =\"52285440\"]\n  7 [size=\"85624320\", alpha=\"0.17\", expect_size=\"34249728\"] \n  7 -> 8 [size =\"34249728\"]\n  8 [size=\"99517440\", alpha=\"0.15\", expect_size=\"39806976\"] \n  8 -> 9 [size =\"39806976\"]\n  9 [size=\"67699200\", alpha=\"0.01\", expect_size=\"27079680\"] \n  9 -> 10 [size =\"27079680\"]\n  10 [size=\"118899200\", alpha=\"0.17\", expect_size=\"47559680\"] \n  10 -> 11 [size =\"47559680\"]\n  11 [size=\"122539520\", alpha=\"0.06\", expect_size=\"49015808\"] \n  11 -> 12 [size =\"49015808\"]\n  12 [size=\"58938880\", alpha=\"0.12\", expect_size=\"23575552\"] \n  12 -> 13 [size =\"23575552\"]\n  13 [size=\"109283840\", alpha=\"0.10\", expect_size=\"43713536\"] \n  13 -> 14 [size =\"43713536\"]\n  14 [size=\"68864000\", alpha=\"0.20\", expect_size=\"27545600\"] \n  14 -> 15 [size =\"27545600\"]\n  15 [size=\"98577920\", alpha=\"0.18\", expect_size=\"39431168\"] \n  15 -> 16 [size =\"39431168\"]\n  16 [size=\"14768640\", alpha=\"0.03\", expect_size=\"5907456\"] \n  16 -> 17 [size =\"5907456\"]\n  17 [size=\"35627520\", alpha=\"0.06\", expect_size=\"14251008\"] \n  17 -> 18 [size =\"14251008\"]\n  18 [size=\"16719360\", alpha=\"0.19\", expect_size=\"6687744\"] \n  18 -> 19 [size =\"6687744\"]\n  19 [size=\"103014400\", alpha=\"0.07\", expect_size=\"41205760\"] \n  19 -> 20 [size =\"41205760\"]\n  20 [size=\"109544960\", alpha=\"0.18\", expect_size=\"43817984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85120000\", alpha=\"0.10\", expect_size=\"34048000\"] \n  1 -> 4 [size =\"34048000\"]\n  1 -> 7 [size =\"34048000\"]\n  2 [size=\"52451840\", alpha=\"0.16\", expect_size=\"20980736\"] \n  2 -> 6 [size =\"20980736\"]\n  3 [size=\"95188480\", alpha=\"0.05\", expect_size=\"38075392\"] \n  3 -> 5 [size =\"38075392\"]\n  3 -> 7 [size =\"38075392\"]\n  4 [size=\"41955840\", alpha=\"0.14\", expect_size=\"16782336\"] \n  4 -> 8 [size =\"16782336\"]\n  5 [size=\"34920960\", alpha=\"0.14\", expect_size=\"13968384\"] \n  5 -> 8 [size =\"13968384\"]\n  5 -> 9 [size =\"13968384\"]\n  6 [size=\"77004800\", alpha=\"0.07\", expect_size=\"30801920\"] \n  6 -> 8 [size =\"30801920\"]\n  6 -> 10 [size =\"30801920\"]\n  7 [size=\"44275200\", alpha=\"0.14\", expect_size=\"17710080\"] \n  8 [size=\"109242880\", alpha=\"0.03\", expect_size=\"43697152\"] \n  8 -> 13 [size =\"43697152\"]\n  9 [size=\"96578560\", alpha=\"0.15\", expect_size=\"38631424\"] \n  9 -> 11 [size =\"38631424\"]\n  9 -> 12 [size =\"38631424\"]\n  9 -> 14 [size =\"38631424\"]\n  10 [size=\"101696000\", alpha=\"0.06\", expect_size=\"40678400\"] \n  10 -> 11 [size =\"40678400\"]\n  10 -> 14 [size =\"40678400\"]\n  11 [size=\"75141120\", alpha=\"0.10\", expect_size=\"30056448\"] \n  11 -> 16 [size =\"30056448\"]\n  11 -> 18 [size =\"30056448\"]\n  12 [size=\"17610240\", alpha=\"0.13\", expect_size=\"7044096\"] \n  13 [size=\"114112000\", alpha=\"0.10\", expect_size=\"45644800\"] \n  13 -> 15 [size =\"45644800\"]\n  13 -> 16 [size =\"45644800\"]\n  13 -> 17 [size =\"45644800\"]\n  13 -> 18 [size =\"45644800\"]\n  14 [size=\"22725120\", alpha=\"0.06\", expect_size=\"9090048\"] \n  14 -> 17 [size =\"9090048\"]\n  15 [size=\"102425600\", alpha=\"0.03\", expect_size=\"40970240\"] \n  16 [size=\"64785920\", alpha=\"0.10\", expect_size=\"25914368\"] \n  16 -> 19 [size =\"25914368\"]\n  16 -> 20 [size =\"25914368\"]\n  17 [size=\"107450880\", alpha=\"0.18\", expect_size=\"42980352\"] \n  17 -> 19 [size =\"42980352\"]\n  17 -> 20 [size =\"42980352\"]\n  18 [size=\"74772480\", alpha=\"0.05\", expect_size=\"29908992\"] \n  19 [size=\"93091840\", alpha=\"0.18\", expect_size=\"37236736\"] \n  20 [size=\"61219840\", alpha=\"0.05\", expect_size=\"24487936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52098560\", alpha=\"0.12\", expect_size=\"20839424\"] \n  1 -> 3 [size =\"20839424\"]\n  1 -> 6 [size =\"20839424\"]\n  2 [size=\"13201920\", alpha=\"0.03\", expect_size=\"5280768\"] \n  2 -> 4 [size =\"5280768\"]\n  2 -> 5 [size =\"5280768\"]\n  3 [size=\"130631680\", alpha=\"0.14\", expect_size=\"52252672\"] \n  4 [size=\"91151360\", alpha=\"0.04\", expect_size=\"36460544\"] \n  4 -> 9 [size =\"36460544\"]\n  5 [size=\"80245760\", alpha=\"0.16\", expect_size=\"32098304\"] \n  5 -> 7 [size =\"32098304\"]\n  5 -> 8 [size =\"32098304\"]\n  5 -> 10 [size =\"32098304\"]\n  6 [size=\"89536000\", alpha=\"0.12\", expect_size=\"35814400\"] \n  6 -> 8 [size =\"35814400\"]\n  6 -> 10 [size =\"35814400\"]\n  7 [size=\"39188480\", alpha=\"0.03\", expect_size=\"15675392\"] \n  8 [size=\"96097280\", alpha=\"0.15\", expect_size=\"38438912\"] \n  8 -> 12 [size =\"38438912\"]\n  9 [size=\"64650240\", alpha=\"0.13\", expect_size=\"25860096\"] \n  10 [size=\"23147520\", alpha=\"0.02\", expect_size=\"9259008\"] \n  10 -> 11 [size =\"9259008\"]\n  10 -> 13 [size =\"9259008\"]\n  11 [size=\"107586560\", alpha=\"0.18\", expect_size=\"43034624\"] \n  11 -> 15 [size =\"43034624\"]\n  12 [size=\"63016960\", alpha=\"0.11\", expect_size=\"25206784\"] \n  12 -> 14 [size =\"25206784\"]\n  13 [size=\"79564800\", alpha=\"0.20\", expect_size=\"31825920\"] \n  13 -> 16 [size =\"31825920\"]\n  14 [size=\"44915200\", alpha=\"0.03\", expect_size=\"17966080\"] \n  14 -> 17 [size =\"17966080\"]\n  15 [size=\"68636160\", alpha=\"0.06\", expect_size=\"27454464\"] \n  15 -> 18 [size =\"27454464\"]\n  15 -> 20 [size =\"27454464\"]\n  16 [size=\"47569920\", alpha=\"0.01\", expect_size=\"19027968\"] \n  16 -> 19 [size =\"19027968\"]\n  17 [size=\"118144000\", alpha=\"0.18\", expect_size=\"47257600\"] \n  18 [size=\"16107520\", alpha=\"0.19\", expect_size=\"6443008\"] \n  19 [size=\"107320320\", alpha=\"0.19\", expect_size=\"42928128\"] \n  20 [size=\"68515840\", alpha=\"0.07\", expect_size=\"27406336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135120213\", alpha=\"0.16\", expect_size=\"40536064\"] \n  2 [size=\"119876267\", alpha=\"0.08\", expect_size=\"35962880\"] \n  3 [size=\"52978347\", alpha=\"0.03\", expect_size=\"15893504\"] \n  4 [size=\"89115307\", alpha=\"0.01\", expect_size=\"26734592\"] \n  5 [size=\"124361387\", alpha=\"0.10\", expect_size=\"37308416\"] \n  5 -> 17 [size =\"37308416\"]\n  6 [size=\"51790507\", alpha=\"0.20\", expect_size=\"15537152\"] \n  6 -> 14 [size =\"15537152\"]\n  6 -> 15 [size =\"15537152\"]\n  7 [size=\"167359147\", alpha=\"0.03\", expect_size=\"50207744\"] \n  7 -> 16 [size =\"50207744\"]\n  7 -> 19 [size =\"50207744\"]\n  8 [size=\"68631893\", alpha=\"0.06\", expect_size=\"20589568\"] \n  8 -> 14 [size =\"20589568\"]\n  8 -> 15 [size =\"20589568\"]\n  9 [size=\"23282347\", alpha=\"0.04\", expect_size=\"6984704\"] \n  9 -> 18 [size =\"6984704\"]\n  9 -> 20 [size =\"6984704\"]\n  10 [size=\"155958613\", alpha=\"0.08\", expect_size=\"46787584\"] \n  10 -> 15 [size =\"46787584\"]\n  10 -> 16 [size =\"46787584\"]\n  10 -> 18 [size =\"46787584\"]\n  11 [size=\"112029013\", alpha=\"0.08\", expect_size=\"33608704\"] \n  11 -> 18 [size =\"33608704\"]\n  12 [size=\"81998507\", alpha=\"0.08\", expect_size=\"24599552\"] \n  12 -> 14 [size =\"24599552\"]\n  12 -> 16 [size =\"24599552\"]\n  12 -> 18 [size =\"24599552\"]\n  13 [size=\"141469013\", alpha=\"0.02\", expect_size=\"42440704\"] \n  13 -> 18 [size =\"42440704\"]\n  14 [size=\"167116800\", alpha=\"0.17\", expect_size=\"50135040\"] \n  15 [size=\"171441493\", alpha=\"0.09\", expect_size=\"51432448\"] \n  16 [size=\"94064640\", alpha=\"0.08\", expect_size=\"28219392\"] \n  17 [size=\"91501227\", alpha=\"0.12\", expect_size=\"27450368\"] \n  18 [size=\"116131840\", alpha=\"0.06\", expect_size=\"34839552\"] \n  19 [size=\"159853227\", alpha=\"0.07\", expect_size=\"47955968\"] \n  20 [size=\"31457280\", alpha=\"0.20\", expect_size=\"9437184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67125248\", alpha=\"0.12\", expect_size=\"33562624\"] \n  1 -> 8 [size =\"33562624\"]\n  1 -> 10 [size =\"33562624\"]\n  1 -> 11 [size =\"33562624\"]\n  1 -> 12 [size =\"33562624\"]\n  2 [size=\"36677632\", alpha=\"0.07\", expect_size=\"18338816\"] \n  2 -> 8 [size =\"18338816\"]\n  2 -> 9 [size =\"18338816\"]\n  2 -> 13 [size =\"18338816\"]\n  3 [size=\"90032128\", alpha=\"0.16\", expect_size=\"45016064\"] \n  3 -> 9 [size =\"45016064\"]\n  3 -> 15 [size =\"45016064\"]\n  4 [size=\"20443136\", alpha=\"0.04\", expect_size=\"10221568\"] \n  4 -> 12 [size =\"10221568\"]\n  5 [size=\"10940416\", alpha=\"0.15\", expect_size=\"5470208\"] \n  5 -> 10 [size =\"5470208\"]\n  5 -> 11 [size =\"5470208\"]\n  5 -> 12 [size =\"5470208\"]\n  5 -> 15 [size =\"5470208\"]\n  6 [size=\"90482688\", alpha=\"0.12\", expect_size=\"45241344\"] \n  6 -> 10 [size =\"45241344\"]\n  6 -> 11 [size =\"45241344\"]\n  6 -> 12 [size =\"45241344\"]\n  6 -> 14 [size =\"45241344\"]\n  6 -> 15 [size =\"45241344\"]\n  7 [size=\"92737536\", alpha=\"0.12\", expect_size=\"46368768\"] \n  7 -> 11 [size =\"46368768\"]\n  7 -> 11 [size =\"46368768\"]\n  7 -> 12 [size =\"46368768\"]\n  7 -> 15 [size =\"46368768\"]\n  7 -> 15 [size =\"46368768\"]\n  8 [size=\"71587840\", alpha=\"0.10\", expect_size=\"35793920\"] \n  9 [size=\"104376320\", alpha=\"0.01\", expect_size=\"52188160\"] \n  9 -> 17 [size =\"52188160\"]\n  9 -> 18 [size =\"52188160\"]\n  9 -> 20 [size =\"52188160\"]\n  10 [size=\"49369088\", alpha=\"0.12\", expect_size=\"24684544\"] \n  10 -> 17 [size =\"24684544\"]\n  10 -> 18 [size =\"24684544\"]\n  10 -> 19 [size =\"24684544\"]\n  11 [size=\"83396608\", alpha=\"0.05\", expect_size=\"41698304\"] \n  11 -> 17 [size =\"41698304\"]\n  11 -> 18 [size =\"41698304\"]\n  11 -> 19 [size =\"41698304\"]\n  12 [size=\"45764608\", alpha=\"0.05\", expect_size=\"22882304\"] \n  12 -> 16 [size =\"22882304\"]\n  12 -> 18 [size =\"22882304\"]\n  13 [size=\"78487552\", alpha=\"0.19\", expect_size=\"39243776\"] \n  13 -> 16 [size =\"39243776\"]\n  13 -> 19 [size =\"39243776\"]\n  14 [size=\"58769408\", alpha=\"0.02\", expect_size=\"29384704\"] \n  14 -> 18 [size =\"29384704\"]\n  14 -> 19 [size =\"29384704\"]\n  15 [size=\"75429888\", alpha=\"0.09\", expect_size=\"37714944\"] \n  15 -> 16 [size =\"37714944\"]\n  15 -> 19 [size =\"37714944\"]\n  15 -> 20 [size =\"37714944\"]\n  16 [size=\"53051392\", alpha=\"0.16\", expect_size=\"26525696\"] \n  17 [size=\"16871424\", alpha=\"0.08\", expect_size=\"8435712\"] \n  18 [size=\"72525824\", alpha=\"0.13\", expect_size=\"36262912\"] \n  19 [size=\"23695360\", alpha=\"0.01\", expect_size=\"11847680\"] \n  20 [size=\"27367424\", alpha=\"0.18\", expect_size=\"13683712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33099776\", alpha=\"0.01\", expect_size=\"16549888\"] \n  1 -> 6 [size =\"16549888\"]\n  1 -> 7 [size =\"16549888\"]\n  1 -> 8 [size =\"16549888\"]\n  1 -> 9 [size =\"16549888\"]\n  1 -> 11 [size =\"16549888\"]\n  1 -> 13 [size =\"16549888\"]\n  1 -> 14 [size =\"16549888\"]\n  1 -> 16 [size =\"16549888\"]\n  2 [size=\"104744960\", alpha=\"0.09\", expect_size=\"52372480\"] \n  2 -> 6 [size =\"52372480\"]\n  2 -> 7 [size =\"52372480\"]\n  2 -> 8 [size =\"52372480\"]\n  2 -> 10 [size =\"52372480\"]\n  2 -> 12 [size =\"52372480\"]\n  2 -> 13 [size =\"52372480\"]\n  2 -> 14 [size =\"52372480\"]\n  3 [size=\"58755072\", alpha=\"0.02\", expect_size=\"29377536\"] \n  3 -> 6 [size =\"29377536\"]\n  3 -> 8 [size =\"29377536\"]\n  3 -> 8 [size =\"29377536\"]\n  3 -> 11 [size =\"29377536\"]\n  3 -> 12 [size =\"29377536\"]\n  3 -> 14 [size =\"29377536\"]\n  3 -> 16 [size =\"29377536\"]\n  4 [size=\"48934912\", alpha=\"0.03\", expect_size=\"24467456\"] \n  4 -> 6 [size =\"24467456\"]\n  4 -> 8 [size =\"24467456\"]\n  4 -> 9 [size =\"24467456\"]\n  4 -> 10 [size =\"24467456\"]\n  4 -> 11 [size =\"24467456\"]\n  4 -> 12 [size =\"24467456\"]\n  4 -> 16 [size =\"24467456\"]\n  5 [size=\"97636352\", alpha=\"0.16\", expect_size=\"48818176\"] \n  5 -> 6 [size =\"48818176\"]\n  5 -> 7 [size =\"48818176\"]\n  5 -> 9 [size =\"48818176\"]\n  5 -> 13 [size =\"48818176\"]\n  5 -> 14 [size =\"48818176\"]\n  5 -> 15 [size =\"48818176\"]\n  5 -> 16 [size =\"48818176\"]\n  6 [size=\"32544768\", alpha=\"0.15\", expect_size=\"16272384\"] \n  6 -> 17 [size =\"16272384\"]\n  6 -> 20 [size =\"16272384\"]\n  7 [size=\"102971392\", alpha=\"0.07\", expect_size=\"51485696\"] \n  7 -> 19 [size =\"51485696\"]\n  8 [size=\"67776512\", alpha=\"0.08\", expect_size=\"33888256\"] \n  8 -> 17 [size =\"33888256\"]\n  8 -> 19 [size =\"33888256\"]\n  9 [size=\"46995456\", alpha=\"0.13\", expect_size=\"23497728\"] \n  9 -> 17 [size =\"23497728\"]\n  9 -> 19 [size =\"23497728\"]\n  10 [size=\"24236032\", alpha=\"0.11\", expect_size=\"12118016\"] \n  10 -> 19 [size =\"12118016\"]\n  10 -> 19 [size =\"12118016\"]\n  11 [size=\"68274176\", alpha=\"0.02\", expect_size=\"34137088\"] \n  11 -> 19 [size =\"34137088\"]\n  12 [size=\"72413184\", alpha=\"0.03\", expect_size=\"36206592\"] \n  12 -> 17 [size =\"36206592\"]\n  12 -> 19 [size =\"36206592\"]\n  13 [size=\"21352448\", alpha=\"0.17\", expect_size=\"10676224\"] \n  13 -> 19 [size =\"10676224\"]\n  14 [size=\"32323584\", alpha=\"0.12\", expect_size=\"16161792\"] \n  14 -> 17 [size =\"16161792\"]\n  14 -> 20 [size =\"16161792\"]\n  15 [size=\"47560704\", alpha=\"0.17\", expect_size=\"23780352\"] \n  15 -> 18 [size =\"23780352\"]\n  15 -> 20 [size =\"23780352\"]\n  16 [size=\"28055552\", alpha=\"0.10\", expect_size=\"14027776\"] \n  16 -> 17 [size =\"14027776\"]\n  16 -> 19 [size =\"14027776\"]\n  16 -> 20 [size =\"14027776\"]\n  17 [size=\"100108288\", alpha=\"0.10\", expect_size=\"50054144\"] \n  18 [size=\"37287936\", alpha=\"0.14\", expect_size=\"18643968\"] \n  19 [size=\"75474944\", alpha=\"0.16\", expect_size=\"37737472\"] \n  20 [size=\"44255232\", alpha=\"0.01\", expect_size=\"22127616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31887360\", alpha=\"0.15\", expect_size=\"15943680\"] \n  1 -> 3 [size =\"15943680\"]\n  2 [size=\"36345856\", alpha=\"0.01\", expect_size=\"18172928\"] \n  3 [size=\"76924928\", alpha=\"0.01\", expect_size=\"38462464\"] \n  3 -> 4 [size =\"38462464\"]\n  4 [size=\"37283840\", alpha=\"0.06\", expect_size=\"18641920\"] \n  4 -> 5 [size =\"18641920\"]\n  5 [size=\"44486656\", alpha=\"0.03\", expect_size=\"22243328\"] \n  5 -> 6 [size =\"22243328\"]\n  5 -> 7 [size =\"22243328\"]\n  6 [size=\"30783488\", alpha=\"0.10\", expect_size=\"15391744\"] \n  6 -> 8 [size =\"15391744\"]\n  7 [size=\"68943872\", alpha=\"0.10\", expect_size=\"34471936\"] \n  8 [size=\"101593088\", alpha=\"0.16\", expect_size=\"50796544\"] \n  8 -> 9 [size =\"50796544\"]\n  9 [size=\"85141504\", alpha=\"0.00\", expect_size=\"42570752\"] \n  9 -> 10 [size =\"42570752\"]\n  10 [size=\"47136768\", alpha=\"0.03\", expect_size=\"23568384\"] \n  10 -> 11 [size =\"23568384\"]\n  11 [size=\"12941312\", alpha=\"0.17\", expect_size=\"6470656\"] \n  11 -> 12 [size =\"6470656\"]\n  11 -> 13 [size =\"6470656\"]\n  12 [size=\"81573888\", alpha=\"0.02\", expect_size=\"40786944\"] \n  12 -> 14 [size =\"40786944\"]\n  13 [size=\"84447232\", alpha=\"0.19\", expect_size=\"42223616\"] \n  14 [size=\"88635392\", alpha=\"0.02\", expect_size=\"44317696\"] \n  14 -> 15 [size =\"44317696\"]\n  15 [size=\"22642688\", alpha=\"0.02\", expect_size=\"11321344\"] \n  15 -> 16 [size =\"11321344\"]\n  15 -> 17 [size =\"11321344\"]\n  16 [size=\"36661248\", alpha=\"0.12\", expect_size=\"18330624\"] \n  16 -> 18 [size =\"18330624\"]\n  17 [size=\"81883136\", alpha=\"0.15\", expect_size=\"40941568\"] \n  18 [size=\"36569088\", alpha=\"0.01\", expect_size=\"18284544\"] \n  18 -> 19 [size =\"18284544\"]\n  19 [size=\"16967680\", alpha=\"0.08\", expect_size=\"8483840\"] \n  19 -> 20 [size =\"8483840\"]\n  20 [size=\"17432576\", alpha=\"0.01\", expect_size=\"8716288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29033813\", alpha=\"0.18\", expect_size=\"8710144\"] \n  1 -> 20 [size =\"8710144\"]\n  2 [size=\"94126080\", alpha=\"0.03\", expect_size=\"28237824\"] \n  3 [size=\"107451733\", alpha=\"0.15\", expect_size=\"32235520\"] \n  4 [size=\"165741227\", alpha=\"0.07\", expect_size=\"49722368\"] \n  5 [size=\"40727893\", alpha=\"0.02\", expect_size=\"12218368\"] \n  6 [size=\"68724053\", alpha=\"0.20\", expect_size=\"20617216\"] \n  7 [size=\"161116160\", alpha=\"0.08\", expect_size=\"48334848\"] \n  8 [size=\"109165227\", alpha=\"0.04\", expect_size=\"32749568\"] \n  8 -> 18 [size =\"32749568\"]\n  8 -> 19 [size =\"32749568\"]\n  9 [size=\"148387840\", alpha=\"0.06\", expect_size=\"44516352\"] \n  10 [size=\"65802240\", alpha=\"0.04\", expect_size=\"19740672\"] \n  11 [size=\"19800747\", alpha=\"0.11\", expect_size=\"5940224\"] \n  12 [size=\"165027840\", alpha=\"0.16\", expect_size=\"49508352\"] \n  12 -> 19 [size =\"49508352\"]\n  13 [size=\"32976213\", alpha=\"0.20\", expect_size=\"9892864\"] \n  14 [size=\"148524373\", alpha=\"0.04\", expect_size=\"44557312\"] \n  15 [size=\"47237120\", alpha=\"0.01\", expect_size=\"14171136\"] \n  16 [size=\"66013867\", alpha=\"0.04\", expect_size=\"19804160\"] \n  16 -> 18 [size =\"19804160\"]\n  17 [size=\"63044267\", alpha=\"0.06\", expect_size=\"18913280\"] \n  17 -> 20 [size =\"18913280\"]\n  18 [size=\"126815573\", alpha=\"0.07\", expect_size=\"38044672\"] \n  19 [size=\"157098667\", alpha=\"0.03\", expect_size=\"47129600\"] \n  20 [size=\"44738560\", alpha=\"0.01\", expect_size=\"13421568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105556480\", alpha=\"0.19\", expect_size=\"42222592\"] \n  1 -> 5 [size =\"42222592\"]\n  1 -> 6 [size =\"42222592\"]\n  1 -> 8 [size =\"42222592\"]\n  2 [size=\"41587200\", alpha=\"0.07\", expect_size=\"16634880\"] \n  2 -> 5 [size =\"16634880\"]\n  2 -> 6 [size =\"16634880\"]\n  2 -> 8 [size =\"16634880\"]\n  3 [size=\"100746240\", alpha=\"0.10\", expect_size=\"40298496\"] \n  3 -> 5 [size =\"40298496\"]\n  3 -> 6 [size =\"40298496\"]\n  3 -> 8 [size =\"40298496\"]\n  4 [size=\"124825600\", alpha=\"0.15\", expect_size=\"49930240\"] \n  4 -> 5 [size =\"49930240\"]\n  4 -> 6 [size =\"49930240\"]\n  4 -> 7 [size =\"49930240\"]\n  4 -> 8 [size =\"49930240\"]\n  5 [size=\"127278080\", alpha=\"0.20\", expect_size=\"50911232\"] \n  5 -> 9 [size =\"50911232\"]\n  5 -> 12 [size =\"50911232\"]\n  5 -> 12 [size =\"50911232\"]\n  5 -> 14 [size =\"50911232\"]\n  5 -> 15 [size =\"50911232\"]\n  5 -> 17 [size =\"50911232\"]\n  6 [size=\"105994240\", alpha=\"0.14\", expect_size=\"42397696\"] \n  6 -> 10 [size =\"42397696\"]\n  6 -> 14 [size =\"42397696\"]\n  6 -> 16 [size =\"42397696\"]\n  6 -> 17 [size =\"42397696\"]\n  7 [size=\"47380480\", alpha=\"0.10\", expect_size=\"18952192\"] \n  7 -> 9 [size =\"18952192\"]\n  7 -> 12 [size =\"18952192\"]\n  7 -> 13 [size =\"18952192\"]\n  7 -> 14 [size =\"18952192\"]\n  7 -> 15 [size =\"18952192\"]\n  7 -> 16 [size =\"18952192\"]\n  7 -> 17 [size =\"18952192\"]\n  8 [size=\"87052800\", alpha=\"0.13\", expect_size=\"34821120\"] \n  8 -> 9 [size =\"34821120\"]\n  8 -> 11 [size =\"34821120\"]\n  8 -> 12 [size =\"34821120\"]\n  8 -> 13 [size =\"34821120\"]\n  8 -> 14 [size =\"34821120\"]\n  8 -> 15 [size =\"34821120\"]\n  8 -> 16 [size =\"34821120\"]\n  8 -> 17 [size =\"34821120\"]\n  9 [size=\"124213760\", alpha=\"0.12\", expect_size=\"49685504\"] \n  10 [size=\"19312640\", alpha=\"0.05\", expect_size=\"7725056\"] \n  10 -> 20 [size =\"7725056\"]\n  11 [size=\"80404480\", alpha=\"0.04\", expect_size=\"32161792\"] \n  11 -> 19 [size =\"32161792\"]\n  12 [size=\"73323520\", alpha=\"0.17\", expect_size=\"29329408\"] \n  12 -> 19 [size =\"29329408\"]\n  12 -> 20 [size =\"29329408\"]\n  13 [size=\"114176000\", alpha=\"0.02\", expect_size=\"45670400\"] \n  13 -> 19 [size =\"45670400\"]\n  14 [size=\"56089600\", alpha=\"0.04\", expect_size=\"22435840\"] \n  14 -> 18 [size =\"22435840\"]\n  14 -> 20 [size =\"22435840\"]\n  15 [size=\"27235840\", alpha=\"0.01\", expect_size=\"10894336\"] \n  15 -> 20 [size =\"10894336\"]\n  16 [size=\"27020800\", alpha=\"0.02\", expect_size=\"10808320\"] \n  16 -> 20 [size =\"10808320\"]\n  17 [size=\"107955200\", alpha=\"0.18\", expect_size=\"43182080\"] \n  17 -> 19 [size =\"43182080\"]\n  17 -> 20 [size =\"43182080\"]\n  18 [size=\"50342400\", alpha=\"0.02\", expect_size=\"20136960\"] \n  19 [size=\"127160320\", alpha=\"0.00\", expect_size=\"50864128\"] \n  20 [size=\"78487040\", alpha=\"0.19\", expect_size=\"31394816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35263147\", alpha=\"0.07\", expect_size=\"10578944\"] \n  2 [size=\"156078080\", alpha=\"0.12\", expect_size=\"46823424\"] \n  2 -> 3 [size =\"46823424\"]\n  3 [size=\"127621120\", alpha=\"0.04\", expect_size=\"38286336\"] \n  3 -> 4 [size =\"38286336\"]\n  4 [size=\"27552427\", alpha=\"0.12\", expect_size=\"8265728\"] \n  4 -> 5 [size =\"8265728\"]\n  4 -> 6 [size =\"8265728\"]\n  5 [size=\"43700907\", alpha=\"0.03\", expect_size=\"13110272\"] \n  6 [size=\"104973653\", alpha=\"0.20\", expect_size=\"31492096\"] \n  6 -> 7 [size =\"31492096\"]\n  6 -> 8 [size =\"31492096\"]\n  7 [size=\"161232213\", alpha=\"0.13\", expect_size=\"48369664\"] \n  8 [size=\"107243520\", alpha=\"0.16\", expect_size=\"32173056\"] \n  8 -> 9 [size =\"32173056\"]\n  9 [size=\"160273067\", alpha=\"0.17\", expect_size=\"48081920\"] \n  9 -> 10 [size =\"48081920\"]\n  10 [size=\"123839147\", alpha=\"0.13\", expect_size=\"37151744\"] \n  10 -> 11 [size =\"37151744\"]\n  11 [size=\"132973227\", alpha=\"0.07\", expect_size=\"39891968\"] \n  11 -> 12 [size =\"39891968\"]\n  11 -> 13 [size =\"39891968\"]\n  12 [size=\"29125973\", alpha=\"0.05\", expect_size=\"8737792\"] \n  12 -> 14 [size =\"8737792\"]\n  13 [size=\"126846293\", alpha=\"0.11\", expect_size=\"38053888\"] \n  14 [size=\"159590400\", alpha=\"0.11\", expect_size=\"47877120\"] \n  14 -> 15 [size =\"47877120\"]\n  14 -> 16 [size =\"47877120\"]\n  15 [size=\"96645120\", alpha=\"0.12\", expect_size=\"28993536\"] \n  15 -> 17 [size =\"28993536\"]\n  16 [size=\"119309653\", alpha=\"0.19\", expect_size=\"35792896\"] \n  17 [size=\"115404800\", alpha=\"0.12\", expect_size=\"34621440\"] \n  17 -> 18 [size =\"34621440\"]\n  17 -> 19 [size =\"34621440\"]\n  18 [size=\"58422613\", alpha=\"0.12\", expect_size=\"17526784\"] \n  18 -> 20 [size =\"17526784\"]\n  19 [size=\"27811840\", alpha=\"0.08\", expect_size=\"8343552\"] \n  20 [size=\"158068053\", alpha=\"0.06\", expect_size=\"47420416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94070784\", alpha=\"0.08\", expect_size=\"47035392\"] \n  1 -> 4 [size =\"47035392\"]\n  1 -> 6 [size =\"47035392\"]\n  2 [size=\"75341824\", alpha=\"0.18\", expect_size=\"37670912\"] \n  2 -> 5 [size =\"37670912\"]\n  2 -> 6 [size =\"37670912\"]\n  3 [size=\"68603904\", alpha=\"0.12\", expect_size=\"34301952\"] \n  3 -> 7 [size =\"34301952\"]\n  4 [size=\"66922496\", alpha=\"0.08\", expect_size=\"33461248\"] \n  4 -> 9 [size =\"33461248\"]\n  4 -> 10 [size =\"33461248\"]\n  4 -> 11 [size =\"33461248\"]\n  5 [size=\"36597760\", alpha=\"0.17\", expect_size=\"18298880\"] \n  5 -> 8 [size =\"18298880\"]\n  5 -> 9 [size =\"18298880\"]\n  5 -> 10 [size =\"18298880\"]\n  5 -> 11 [size =\"18298880\"]\n  6 [size=\"96421888\", alpha=\"0.06\", expect_size=\"48210944\"] \n  6 -> 11 [size =\"48210944\"]\n  7 [size=\"52011008\", alpha=\"0.02\", expect_size=\"26005504\"] \n  8 [size=\"52600832\", alpha=\"0.04\", expect_size=\"26300416\"] \n  8 -> 12 [size =\"26300416\"]\n  8 -> 14 [size =\"26300416\"]\n  9 [size=\"16926720\", alpha=\"0.17\", expect_size=\"8463360\"] \n  9 -> 12 [size =\"8463360\"]\n  9 -> 15 [size =\"8463360\"]\n  10 [size=\"100577280\", alpha=\"0.08\", expect_size=\"50288640\"] \n  10 -> 13 [size =\"50288640\"]\n  10 -> 14 [size =\"50288640\"]\n  11 [size=\"35350528\", alpha=\"0.16\", expect_size=\"17675264\"] \n  11 -> 13 [size =\"17675264\"]\n  11 -> 14 [size =\"17675264\"]\n  12 [size=\"73199616\", alpha=\"0.02\", expect_size=\"36599808\"] \n  13 [size=\"64657408\", alpha=\"0.15\", expect_size=\"32328704\"] \n  13 -> 16 [size =\"32328704\"]\n  13 -> 17 [size =\"32328704\"]\n  14 [size=\"26171392\", alpha=\"0.09\", expect_size=\"13085696\"] \n  14 -> 16 [size =\"13085696\"]\n  14 -> 18 [size =\"13085696\"]\n  14 -> 19 [size =\"13085696\"]\n  15 [size=\"64411648\", alpha=\"0.18\", expect_size=\"32205824\"] \n  15 -> 16 [size =\"32205824\"]\n  15 -> 18 [size =\"32205824\"]\n  16 [size=\"49313792\", alpha=\"0.10\", expect_size=\"24656896\"] \n  16 -> 20 [size =\"24656896\"]\n  17 [size=\"77699072\", alpha=\"0.11\", expect_size=\"38849536\"] \n  17 -> 20 [size =\"38849536\"]\n  18 [size=\"85262336\", alpha=\"0.18\", expect_size=\"42631168\"] \n  18 -> 20 [size =\"42631168\"]\n  19 [size=\"101978112\", alpha=\"0.05\", expect_size=\"50989056\"] \n  20 [size=\"88772608\", alpha=\"0.08\", expect_size=\"44386304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93952000\", alpha=\"0.10\", expect_size=\"28185600\"] \n  1 -> 2 [size =\"28185600\"]\n  2 [size=\"24528213\", alpha=\"0.00\", expect_size=\"7358464\"] \n  2 -> 3 [size =\"7358464\"]\n  3 [size=\"96423253\", alpha=\"0.10\", expect_size=\"28926976\"] \n  3 -> 4 [size =\"28926976\"]\n  4 [size=\"65870507\", alpha=\"0.06\", expect_size=\"19761152\"] \n  4 -> 5 [size =\"19761152\"]\n  5 [size=\"67426987\", alpha=\"0.14\", expect_size=\"20228096\"] \n  5 -> 6 [size =\"20228096\"]\n  6 [size=\"50575360\", alpha=\"0.17\", expect_size=\"15172608\"] \n  6 -> 7 [size =\"15172608\"]\n  7 [size=\"53295787\", alpha=\"0.14\", expect_size=\"15988736\"] \n  7 -> 8 [size =\"15988736\"]\n  8 [size=\"101478400\", alpha=\"0.12\", expect_size=\"30443520\"] \n  8 -> 9 [size =\"30443520\"]\n  9 [size=\"64566613\", alpha=\"0.13\", expect_size=\"19369984\"] \n  9 -> 10 [size =\"19369984\"]\n  10 [size=\"153654613\", alpha=\"0.16\", expect_size=\"46096384\"] \n  10 -> 11 [size =\"46096384\"]\n  11 [size=\"117302613\", alpha=\"0.07\", expect_size=\"35190784\"] \n  11 -> 12 [size =\"35190784\"]\n  12 [size=\"41748480\", alpha=\"0.15\", expect_size=\"12524544\"] \n  12 -> 13 [size =\"12524544\"]\n  13 [size=\"44431360\", alpha=\"0.12\", expect_size=\"13329408\"] \n  13 -> 14 [size =\"13329408\"]\n  14 [size=\"125265920\", alpha=\"0.18\", expect_size=\"37579776\"] \n  14 -> 15 [size =\"37579776\"]\n  15 [size=\"168970240\", alpha=\"0.04\", expect_size=\"50691072\"] \n  15 -> 16 [size =\"50691072\"]\n  16 [size=\"124914347\", alpha=\"0.05\", expect_size=\"37474304\"] \n  16 -> 17 [size =\"37474304\"]\n  17 [size=\"98228907\", alpha=\"0.16\", expect_size=\"29468672\"] \n  17 -> 18 [size =\"29468672\"]\n  18 [size=\"49469440\", alpha=\"0.12\", expect_size=\"14840832\"] \n  18 -> 19 [size =\"14840832\"]\n  19 [size=\"145739093\", alpha=\"0.19\", expect_size=\"43721728\"] \n  19 -> 20 [size =\"43721728\"]\n  20 [size=\"88091307\", alpha=\"0.16\", expect_size=\"26427392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88852480\", alpha=\"0.19\", expect_size=\"35540992\"] \n  1 -> 2 [size =\"35540992\"]\n  2 [size=\"107535360\", alpha=\"0.20\", expect_size=\"43014144\"] \n  2 -> 3 [size =\"43014144\"]\n  3 [size=\"123694080\", alpha=\"0.14\", expect_size=\"49477632\"] \n  3 -> 4 [size =\"49477632\"]\n  4 [size=\"66703360\", alpha=\"0.04\", expect_size=\"26681344\"] \n  4 -> 5 [size =\"26681344\"]\n  5 [size=\"47772160\", alpha=\"0.06\", expect_size=\"19108864\"] \n  5 -> 6 [size =\"19108864\"]\n  6 [size=\"20034560\", alpha=\"0.02\", expect_size=\"8013824\"] \n  6 -> 7 [size =\"8013824\"]\n  7 [size=\"92213760\", alpha=\"0.03\", expect_size=\"36885504\"] \n  7 -> 8 [size =\"36885504\"]\n  8 [size=\"13232640\", alpha=\"0.07\", expect_size=\"5293056\"] \n  8 -> 9 [size =\"5293056\"]\n  9 [size=\"57443840\", alpha=\"0.16\", expect_size=\"22977536\"] \n  9 -> 10 [size =\"22977536\"]\n  10 [size=\"108920320\", alpha=\"0.08\", expect_size=\"43568128\"] \n  10 -> 11 [size =\"43568128\"]\n  11 [size=\"61765120\", alpha=\"0.00\", expect_size=\"24706048\"] \n  11 -> 12 [size =\"24706048\"]\n  12 [size=\"53987840\", alpha=\"0.08\", expect_size=\"21595136\"] \n  12 -> 13 [size =\"21595136\"]\n  13 [size=\"52303360\", alpha=\"0.03\", expect_size=\"20921344\"] \n  13 -> 14 [size =\"20921344\"]\n  14 [size=\"18152960\", alpha=\"0.14\", expect_size=\"7261184\"] \n  14 -> 15 [size =\"7261184\"]\n  15 [size=\"40896000\", alpha=\"0.17\", expect_size=\"16358400\"] \n  15 -> 16 [size =\"16358400\"]\n  16 [size=\"73574400\", alpha=\"0.04\", expect_size=\"29429760\"] \n  16 -> 17 [size =\"29429760\"]\n  17 [size=\"86766080\", alpha=\"0.14\", expect_size=\"34706432\"] \n  17 -> 18 [size =\"34706432\"]\n  18 [size=\"103718400\", alpha=\"0.14\", expect_size=\"41487360\"] \n  18 -> 19 [size =\"41487360\"]\n  19 [size=\"29624320\", alpha=\"0.17\", expect_size=\"11849728\"] \n  19 -> 20 [size =\"11849728\"]\n  20 [size=\"125998080\", alpha=\"0.18\", expect_size=\"50399232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37191680\", alpha=\"0.03\", expect_size=\"14876672\"] \n  1 -> 19 [size =\"14876672\"]\n  1 -> 20 [size =\"14876672\"]\n  2 [size=\"88140800\", alpha=\"0.04\", expect_size=\"35256320\"] \n  2 -> 16 [size =\"35256320\"]\n  2 -> 19 [size =\"35256320\"]\n  2 -> 20 [size =\"35256320\"]\n  3 [size=\"100026880\", alpha=\"0.17\", expect_size=\"40010752\"] \n  3 -> 16 [size =\"40010752\"]\n  3 -> 19 [size =\"40010752\"]\n  4 [size=\"58444800\", alpha=\"0.20\", expect_size=\"23377920\"] \n  4 -> 16 [size =\"23377920\"]\n  4 -> 17 [size =\"23377920\"]\n  4 -> 18 [size =\"23377920\"]\n  5 [size=\"77524480\", alpha=\"0.16\", expect_size=\"31009792\"] \n  5 -> 16 [size =\"31009792\"]\n  5 -> 17 [size =\"31009792\"]\n  5 -> 18 [size =\"31009792\"]\n  5 -> 19 [size =\"31009792\"]\n  6 [size=\"130608640\", alpha=\"0.18\", expect_size=\"52243456\"] \n  6 -> 17 [size =\"52243456\"]\n  6 -> 19 [size =\"52243456\"]\n  7 [size=\"105198080\", alpha=\"0.07\", expect_size=\"42079232\"] \n  7 -> 19 [size =\"42079232\"]\n  7 -> 19 [size =\"42079232\"]\n  8 [size=\"76277760\", alpha=\"0.19\", expect_size=\"30511104\"] \n  8 -> 16 [size =\"30511104\"]\n  8 -> 17 [size =\"30511104\"]\n  8 -> 19 [size =\"30511104\"]\n  9 [size=\"54225920\", alpha=\"0.08\", expect_size=\"21690368\"] \n  9 -> 16 [size =\"21690368\"]\n  9 -> 17 [size =\"21690368\"]\n  9 -> 18 [size =\"21690368\"]\n  9 -> 19 [size =\"21690368\"]\n  10 [size=\"80611840\", alpha=\"0.02\", expect_size=\"32244736\"] \n  10 -> 16 [size =\"32244736\"]\n  10 -> 17 [size =\"32244736\"]\n  10 -> 19 [size =\"32244736\"]\n  10 -> 20 [size =\"32244736\"]\n  11 [size=\"99968000\", alpha=\"0.16\", expect_size=\"39987200\"] \n  11 -> 16 [size =\"39987200\"]\n  11 -> 17 [size =\"39987200\"]\n  11 -> 20 [size =\"39987200\"]\n  12 [size=\"115440640\", alpha=\"0.17\", expect_size=\"46176256\"] \n  12 -> 17 [size =\"46176256\"]\n  12 -> 17 [size =\"46176256\"]\n  12 -> 19 [size =\"46176256\"]\n  12 -> 20 [size =\"46176256\"]\n  13 [size=\"21061120\", alpha=\"0.01\", expect_size=\"8424448\"] \n  14 [size=\"120990720\", alpha=\"0.12\", expect_size=\"48396288\"] \n  14 -> 18 [size =\"48396288\"]\n  15 [size=\"118131200\", alpha=\"0.09\", expect_size=\"47252480\"] \n  16 [size=\"94146560\", alpha=\"0.08\", expect_size=\"37658624\"] \n  17 [size=\"84784640\", alpha=\"0.03\", expect_size=\"33913856\"] \n  18 [size=\"124416000\", alpha=\"0.19\", expect_size=\"49766400\"] \n  19 [size=\"117337600\", alpha=\"0.12\", expect_size=\"46935040\"] \n  20 [size=\"45437440\", alpha=\"0.18\", expect_size=\"18174976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45762560\", alpha=\"0.07\", expect_size=\"18305024\"] \n  1 -> 4 [size =\"18305024\"]\n  1 -> 6 [size =\"18305024\"]\n  2 [size=\"56529920\", alpha=\"0.04\", expect_size=\"22611968\"] \n  2 -> 4 [size =\"22611968\"]\n  2 -> 5 [size =\"22611968\"]\n  2 -> 6 [size =\"22611968\"]\n  2 -> 7 [size =\"22611968\"]\n  3 [size=\"111070720\", alpha=\"0.11\", expect_size=\"44428288\"] \n  3 -> 4 [size =\"44428288\"]\n  3 -> 6 [size =\"44428288\"]\n  4 [size=\"46141440\", alpha=\"0.11\", expect_size=\"18456576\"] \n  4 -> 8 [size =\"18456576\"]\n  5 [size=\"110855680\", alpha=\"0.19\", expect_size=\"44342272\"] \n  5 -> 8 [size =\"44342272\"]\n  6 [size=\"113620480\", alpha=\"0.16\", expect_size=\"45448192\"] \n  6 -> 8 [size =\"45448192\"]\n  7 [size=\"46845440\", alpha=\"0.15\", expect_size=\"18738176\"] \n  7 -> 9 [size =\"18738176\"]\n  7 -> 10 [size =\"18738176\"]\n  8 [size=\"74600960\", alpha=\"0.04\", expect_size=\"29840384\"] \n  8 -> 12 [size =\"29840384\"]\n  8 -> 13 [size =\"29840384\"]\n  9 [size=\"14231040\", alpha=\"0.04\", expect_size=\"5692416\"] \n  9 -> 12 [size =\"5692416\"]\n  9 -> 13 [size =\"5692416\"]\n  10 [size=\"50775040\", alpha=\"0.04\", expect_size=\"20310016\"] \n  10 -> 11 [size =\"20310016\"]\n  10 -> 12 [size =\"20310016\"]\n  11 [size=\"118970880\", alpha=\"0.10\", expect_size=\"47588352\"] \n  11 -> 14 [size =\"47588352\"]\n  12 [size=\"42091520\", alpha=\"0.17\", expect_size=\"16836608\"] \n  12 -> 14 [size =\"16836608\"]\n  12 -> 15 [size =\"16836608\"]\n  12 -> 17 [size =\"16836608\"]\n  13 [size=\"66711040\", alpha=\"0.08\", expect_size=\"26684416\"] \n  13 -> 14 [size =\"26684416\"]\n  13 -> 15 [size =\"26684416\"]\n  13 -> 16 [size =\"26684416\"]\n  14 [size=\"129223680\", alpha=\"0.12\", expect_size=\"51689472\"] \n  14 -> 18 [size =\"51689472\"]\n  14 -> 19 [size =\"51689472\"]\n  14 -> 20 [size =\"51689472\"]\n  15 [size=\"73233920\", alpha=\"0.07\", expect_size=\"29293568\"] \n  15 -> 19 [size =\"29293568\"]\n  15 -> 20 [size =\"29293568\"]\n  16 [size=\"64524800\", alpha=\"0.01\", expect_size=\"25809920\"] \n  16 -> 18 [size =\"25809920\"]\n  16 -> 19 [size =\"25809920\"]\n  17 [size=\"38405120\", alpha=\"0.19\", expect_size=\"15362048\"] \n  17 -> 18 [size =\"15362048\"]\n  17 -> 19 [size =\"15362048\"]\n  17 -> 20 [size =\"15362048\"]\n  18 [size=\"129108480\", alpha=\"0.11\", expect_size=\"51643392\"] \n  19 [size=\"34816000\", alpha=\"0.10\", expect_size=\"13926400\"] \n  20 [size=\"57320960\", alpha=\"0.17\", expect_size=\"22928384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64182272\", alpha=\"0.13\", expect_size=\"32091136\"] \n  1 -> 2 [size =\"32091136\"]\n  2 [size=\"12269568\", alpha=\"0.07\", expect_size=\"6134784\"] \n  2 -> 3 [size =\"6134784\"]\n  3 [size=\"28098560\", alpha=\"0.15\", expect_size=\"14049280\"] \n  3 -> 4 [size =\"14049280\"]\n  4 [size=\"41320448\", alpha=\"0.08\", expect_size=\"20660224\"] \n  4 -> 5 [size =\"20660224\"]\n  5 [size=\"24012800\", alpha=\"0.18\", expect_size=\"12006400\"] \n  5 -> 6 [size =\"12006400\"]\n  6 [size=\"11513856\", alpha=\"0.08\", expect_size=\"5756928\"] \n  6 -> 7 [size =\"5756928\"]\n  7 [size=\"94597120\", alpha=\"0.09\", expect_size=\"47298560\"] \n  7 -> 8 [size =\"47298560\"]\n  8 [size=\"36601856\", alpha=\"0.11\", expect_size=\"18300928\"] \n  8 -> 9 [size =\"18300928\"]\n  9 [size=\"53915648\", alpha=\"0.15\", expect_size=\"26957824\"] \n  9 -> 10 [size =\"26957824\"]\n  10 [size=\"56162304\", alpha=\"0.10\", expect_size=\"28081152\"] \n  10 -> 11 [size =\"28081152\"]\n  11 [size=\"62664704\", alpha=\"0.19\", expect_size=\"31332352\"] \n  11 -> 12 [size =\"31332352\"]\n  12 [size=\"29466624\", alpha=\"0.14\", expect_size=\"14733312\"] \n  12 -> 13 [size =\"14733312\"]\n  13 [size=\"63281152\", alpha=\"0.12\", expect_size=\"31640576\"] \n  13 -> 14 [size =\"31640576\"]\n  14 [size=\"40796160\", alpha=\"0.17\", expect_size=\"20398080\"] \n  14 -> 15 [size =\"20398080\"]\n  15 [size=\"77899776\", alpha=\"0.10\", expect_size=\"38949888\"] \n  15 -> 16 [size =\"38949888\"]\n  16 [size=\"68136960\", alpha=\"0.03\", expect_size=\"34068480\"] \n  16 -> 17 [size =\"34068480\"]\n  17 [size=\"11087872\", alpha=\"0.06\", expect_size=\"5543936\"] \n  17 -> 18 [size =\"5543936\"]\n  18 [size=\"51937280\", alpha=\"0.19\", expect_size=\"25968640\"] \n  18 -> 19 [size =\"25968640\"]\n  19 [size=\"10944512\", alpha=\"0.02\", expect_size=\"5472256\"] \n  19 -> 20 [size =\"5472256\"]\n  20 [size=\"83075072\", alpha=\"0.07\", expect_size=\"41537536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50240853\", alpha=\"0.11\", expect_size=\"15072256\"] \n  1 -> 2 [size =\"15072256\"]\n  2 [size=\"136062293\", alpha=\"0.06\", expect_size=\"40818688\"] \n  2 -> 3 [size =\"40818688\"]\n  3 [size=\"111325867\", alpha=\"0.19\", expect_size=\"33397760\"] \n  3 -> 4 [size =\"33397760\"]\n  4 [size=\"165632000\", alpha=\"0.05\", expect_size=\"49689600\"] \n  4 -> 5 [size =\"49689600\"]\n  5 [size=\"30204587\", alpha=\"0.18\", expect_size=\"9061376\"] \n  5 -> 6 [size =\"9061376\"]\n  6 [size=\"66519040\", alpha=\"0.13\", expect_size=\"19955712\"] \n  6 -> 7 [size =\"19955712\"]\n  7 [size=\"139584853\", alpha=\"0.17\", expect_size=\"41875456\"] \n  7 -> 8 [size =\"41875456\"]\n  8 [size=\"123405653\", alpha=\"0.15\", expect_size=\"37021696\"] \n  8 -> 9 [size =\"37021696\"]\n  9 [size=\"167150933\", alpha=\"0.07\", expect_size=\"50145280\"] \n  9 -> 10 [size =\"50145280\"]\n  10 [size=\"69051733\", alpha=\"0.09\", expect_size=\"20715520\"] \n  10 -> 11 [size =\"20715520\"]\n  11 [size=\"50128213\", alpha=\"0.00\", expect_size=\"15038464\"] \n  11 -> 12 [size =\"15038464\"]\n  12 [size=\"134819840\", alpha=\"0.14\", expect_size=\"40445952\"] \n  12 -> 13 [size =\"40445952\"]\n  13 [size=\"24517973\", alpha=\"0.10\", expect_size=\"7355392\"] \n  13 -> 14 [size =\"7355392\"]\n  14 [size=\"170055680\", alpha=\"0.19\", expect_size=\"51016704\"] \n  14 -> 15 [size =\"51016704\"]\n  15 [size=\"55200427\", alpha=\"0.09\", expect_size=\"16560128\"] \n  15 -> 16 [size =\"16560128\"]\n  16 [size=\"40915627\", alpha=\"0.08\", expect_size=\"12274688\"] \n  16 -> 17 [size =\"12274688\"]\n  17 [size=\"139304960\", alpha=\"0.08\", expect_size=\"41791488\"] \n  17 -> 18 [size =\"41791488\"]\n  18 [size=\"112107520\", alpha=\"0.15\", expect_size=\"33632256\"] \n  18 -> 19 [size =\"33632256\"]\n  19 [size=\"73854293\", alpha=\"0.02\", expect_size=\"22156288\"] \n  19 -> 20 [size =\"22156288\"]\n  20 [size=\"131822933\", alpha=\"0.10\", expect_size=\"39546880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120855893\", alpha=\"0.08\", expect_size=\"36256768\"] \n  1 -> 2 [size =\"36256768\"]\n  2 [size=\"102580907\", alpha=\"0.13\", expect_size=\"30774272\"] \n  2 -> 3 [size =\"30774272\"]\n  3 [size=\"87681707\", alpha=\"0.08\", expect_size=\"26304512\"] \n  3 -> 4 [size =\"26304512\"]\n  4 [size=\"75205973\", alpha=\"0.08\", expect_size=\"22561792\"] \n  4 -> 5 [size =\"22561792\"]\n  5 [size=\"146223787\", alpha=\"0.04\", expect_size=\"43867136\"] \n  5 -> 6 [size =\"43867136\"]\n  6 [size=\"37570560\", alpha=\"0.05\", expect_size=\"11271168\"] \n  6 -> 7 [size =\"11271168\"]\n  7 [size=\"173243733\", alpha=\"0.01\", expect_size=\"51973120\"] \n  7 -> 8 [size =\"51973120\"]\n  8 [size=\"113793707\", alpha=\"0.01\", expect_size=\"34138112\"] \n  8 -> 9 [size =\"34138112\"]\n  9 [size=\"128645120\", alpha=\"0.09\", expect_size=\"38593536\"] \n  9 -> 10 [size =\"38593536\"]\n  10 [size=\"19957760\", alpha=\"0.16\", expect_size=\"5987328\"] \n  10 -> 11 [size =\"5987328\"]\n  11 [size=\"57077760\", alpha=\"0.13\", expect_size=\"17123328\"] \n  11 -> 12 [size =\"17123328\"]\n  12 [size=\"121552213\", alpha=\"0.12\", expect_size=\"36465664\"] \n  12 -> 13 [size =\"36465664\"]\n  13 [size=\"65949013\", alpha=\"0.11\", expect_size=\"19784704\"] \n  13 -> 14 [size =\"19784704\"]\n  14 [size=\"128747520\", alpha=\"0.17\", expect_size=\"38624256\"] \n  14 -> 15 [size =\"38624256\"]\n  15 [size=\"34501973\", alpha=\"0.17\", expect_size=\"10350592\"] \n  15 -> 16 [size =\"10350592\"]\n  16 [size=\"69355520\", alpha=\"0.13\", expect_size=\"20806656\"] \n  16 -> 17 [size =\"20806656\"]\n  17 [size=\"105321813\", alpha=\"0.02\", expect_size=\"31596544\"] \n  17 -> 18 [size =\"31596544\"]\n  18 [size=\"114216960\", alpha=\"0.05\", expect_size=\"34265088\"] \n  18 -> 19 [size =\"34265088\"]\n  19 [size=\"122845867\", alpha=\"0.08\", expect_size=\"36853760\"] \n  19 -> 20 [size =\"36853760\"]\n  20 [size=\"35140267\", alpha=\"0.19\", expect_size=\"10542080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69345280\", alpha=\"0.12\", expect_size=\"34672640\"] \n  1 -> 15 [size =\"34672640\"]\n  2 [size=\"95469568\", alpha=\"0.01\", expect_size=\"47734784\"] \n  2 -> 20 [size =\"47734784\"]\n  3 [size=\"27283456\", alpha=\"0.08\", expect_size=\"13641728\"] \n  3 -> 17 [size =\"13641728\"]\n  3 -> 19 [size =\"13641728\"]\n  4 [size=\"74278912\", alpha=\"0.08\", expect_size=\"37139456\"] \n  4 -> 15 [size =\"37139456\"]\n  5 [size=\"102436864\", alpha=\"0.05\", expect_size=\"51218432\"] \n  5 -> 19 [size =\"51218432\"]\n  5 -> 20 [size =\"51218432\"]\n  6 [size=\"20332544\", alpha=\"0.14\", expect_size=\"10166272\"] \n  6 -> 15 [size =\"10166272\"]\n  6 -> 18 [size =\"10166272\"]\n  6 -> 20 [size =\"10166272\"]\n  7 [size=\"43704320\", alpha=\"0.09\", expect_size=\"21852160\"] \n  7 -> 18 [size =\"21852160\"]\n  7 -> 20 [size =\"21852160\"]\n  8 [size=\"104364032\", alpha=\"0.05\", expect_size=\"52182016\"] \n  8 -> 15 [size =\"52182016\"]\n  8 -> 17 [size =\"52182016\"]\n  9 [size=\"59021312\", alpha=\"0.02\", expect_size=\"29510656\"] \n  9 -> 19 [size =\"29510656\"]\n  10 [size=\"64016384\", alpha=\"0.13\", expect_size=\"32008192\"] \n  10 -> 17 [size =\"32008192\"]\n  11 [size=\"60674048\", alpha=\"0.19\", expect_size=\"30337024\"] \n  11 -> 15 [size =\"30337024\"]\n  11 -> 20 [size =\"30337024\"]\n  12 [size=\"22771712\", alpha=\"0.18\", expect_size=\"11385856\"] \n  12 -> 17 [size =\"11385856\"]\n  13 [size=\"27877376\", alpha=\"0.15\", expect_size=\"13938688\"] \n  13 -> 17 [size =\"13938688\"]\n  13 -> 18 [size =\"13938688\"]\n  13 -> 19 [size =\"13938688\"]\n  14 [size=\"67100672\", alpha=\"0.00\", expect_size=\"33550336\"] \n  14 -> 15 [size =\"33550336\"]\n  14 -> 16 [size =\"33550336\"]\n  14 -> 17 [size =\"33550336\"]\n  14 -> 18 [size =\"33550336\"]\n  14 -> 19 [size =\"33550336\"]\n  14 -> 20 [size =\"33550336\"]\n  15 [size=\"103094272\", alpha=\"0.01\", expect_size=\"51547136\"] \n  16 [size=\"31324160\", alpha=\"0.10\", expect_size=\"15662080\"] \n  17 [size=\"97732608\", alpha=\"0.04\", expect_size=\"48866304\"] \n  18 [size=\"45350912\", alpha=\"0.17\", expect_size=\"22675456\"] \n  19 [size=\"69779456\", alpha=\"0.11\", expect_size=\"34889728\"] \n  20 [size=\"80416768\", alpha=\"0.15\", expect_size=\"40208384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104333312\", alpha=\"0.07\", expect_size=\"52166656\"] \n  1 -> 2 [size =\"52166656\"]\n  2 [size=\"79800320\", alpha=\"0.04\", expect_size=\"39900160\"] \n  2 -> 3 [size =\"39900160\"]\n  3 [size=\"98351104\", alpha=\"0.16\", expect_size=\"49175552\"] \n  3 -> 4 [size =\"49175552\"]\n  4 [size=\"75773952\", alpha=\"0.11\", expect_size=\"37886976\"] \n  4 -> 5 [size =\"37886976\"]\n  5 [size=\"55992320\", alpha=\"0.20\", expect_size=\"27996160\"] \n  5 -> 6 [size =\"27996160\"]\n  6 [size=\"99975168\", alpha=\"0.13\", expect_size=\"49987584\"] \n  6 -> 7 [size =\"49987584\"]\n  7 [size=\"66349056\", alpha=\"0.14\", expect_size=\"33174528\"] \n  7 -> 8 [size =\"33174528\"]\n  8 [size=\"12939264\", alpha=\"0.15\", expect_size=\"6469632\"] \n  8 -> 9 [size =\"6469632\"]\n  9 [size=\"58648576\", alpha=\"0.04\", expect_size=\"29324288\"] \n  9 -> 10 [size =\"29324288\"]\n  10 [size=\"68272128\", alpha=\"0.01\", expect_size=\"34136064\"] \n  10 -> 11 [size =\"34136064\"]\n  11 [size=\"23586816\", alpha=\"0.17\", expect_size=\"11793408\"] \n  11 -> 12 [size =\"11793408\"]\n  12 [size=\"56569856\", alpha=\"0.09\", expect_size=\"28284928\"] \n  12 -> 13 [size =\"28284928\"]\n  13 [size=\"76961792\", alpha=\"0.10\", expect_size=\"38480896\"] \n  13 -> 14 [size =\"38480896\"]\n  14 [size=\"57710592\", alpha=\"0.09\", expect_size=\"28855296\"] \n  14 -> 15 [size =\"28855296\"]\n  15 [size=\"17547264\", alpha=\"0.12\", expect_size=\"8773632\"] \n  15 -> 16 [size =\"8773632\"]\n  16 [size=\"17051648\", alpha=\"0.02\", expect_size=\"8525824\"] \n  16 -> 17 [size =\"8525824\"]\n  17 [size=\"78931968\", alpha=\"0.07\", expect_size=\"39465984\"] \n  17 -> 18 [size =\"39465984\"]\n  18 [size=\"50296832\", alpha=\"0.13\", expect_size=\"25148416\"] \n  18 -> 19 [size =\"25148416\"]\n  19 [size=\"25020416\", alpha=\"0.08\", expect_size=\"12510208\"] \n  19 -> 20 [size =\"12510208\"]\n  20 [size=\"42297344\", alpha=\"0.15\", expect_size=\"21148672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148582400\", alpha=\"0.17\", expect_size=\"44574720\"] \n  2 [size=\"61979307\", alpha=\"0.15\", expect_size=\"18593792\"] \n  2 -> 19 [size =\"18593792\"]\n  2 -> 20 [size =\"18593792\"]\n  3 [size=\"158866773\", alpha=\"0.19\", expect_size=\"47660032\"] \n  4 [size=\"146824533\", alpha=\"0.12\", expect_size=\"44047360\"] \n  4 -> 19 [size =\"44047360\"]\n  5 [size=\"86596267\", alpha=\"0.19\", expect_size=\"25978880\"] \n  6 [size=\"121279147\", alpha=\"0.17\", expect_size=\"36383744\"] \n  7 [size=\"118125227\", alpha=\"0.05\", expect_size=\"35437568\"] \n  7 -> 20 [size =\"35437568\"]\n  8 [size=\"171250347\", alpha=\"0.04\", expect_size=\"51375104\"] \n  9 [size=\"151456427\", alpha=\"0.20\", expect_size=\"45436928\"] \n  9 -> 19 [size =\"45436928\"]\n  9 -> 20 [size =\"45436928\"]\n  10 [size=\"67990187\", alpha=\"0.20\", expect_size=\"20397056\"] \n  11 [size=\"86408533\", alpha=\"0.01\", expect_size=\"25922560\"] \n  12 [size=\"60439893\", alpha=\"0.09\", expect_size=\"18131968\"] \n  12 -> 19 [size =\"18131968\"]\n  12 -> 20 [size =\"18131968\"]\n  13 [size=\"18728960\", alpha=\"0.13\", expect_size=\"5618688\"] \n  13 -> 19 [size =\"5618688\"]\n  14 [size=\"168843947\", alpha=\"0.20\", expect_size=\"50653184\"] \n  14 -> 19 [size =\"50653184\"]\n  15 [size=\"104318293\", alpha=\"0.17\", expect_size=\"31295488\"] \n  15 -> 19 [size =\"31295488\"]\n  16 [size=\"99225600\", alpha=\"0.12\", expect_size=\"29767680\"] \n  17 [size=\"76154880\", alpha=\"0.00\", expect_size=\"22846464\"] \n  17 -> 19 [size =\"22846464\"]\n  18 [size=\"116910080\", alpha=\"0.12\", expect_size=\"35073024\"] \n  18 -> 20 [size =\"35073024\"]\n  19 [size=\"145172480\", alpha=\"0.11\", expect_size=\"43551744\"] \n  20 [size=\"143168853\", alpha=\"0.04\", expect_size=\"42950656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48814080\", alpha=\"0.14\", expect_size=\"14644224\"] \n  1 -> 8 [size =\"14644224\"]\n  1 -> 10 [size =\"14644224\"]\n  1 -> 11 [size =\"14644224\"]\n  1 -> 12 [size =\"14644224\"]\n  1 -> 13 [size =\"14644224\"]\n  1 -> 14 [size =\"14644224\"]\n  2 [size=\"112360107\", alpha=\"0.00\", expect_size=\"33708032\"] \n  2 -> 11 [size =\"33708032\"]\n  2 -> 13 [size =\"33708032\"]\n  2 -> 14 [size =\"33708032\"]\n  3 [size=\"155477333\", alpha=\"0.13\", expect_size=\"46643200\"] \n  3 -> 9 [size =\"46643200\"]\n  3 -> 11 [size =\"46643200\"]\n  3 -> 12 [size =\"46643200\"]\n  4 [size=\"117872640\", alpha=\"0.18\", expect_size=\"35361792\"] \n  4 -> 9 [size =\"35361792\"]\n  4 -> 12 [size =\"35361792\"]\n  5 [size=\"62545920\", alpha=\"0.04\", expect_size=\"18763776\"] \n  5 -> 9 [size =\"18763776\"]\n  5 -> 14 [size =\"18763776\"]\n  6 [size=\"117691733\", alpha=\"0.16\", expect_size=\"35307520\"] \n  6 -> 9 [size =\"35307520\"]\n  6 -> 12 [size =\"35307520\"]\n  6 -> 13 [size =\"35307520\"]\n  6 -> 14 [size =\"35307520\"]\n  7 [size=\"94774613\", alpha=\"0.04\", expect_size=\"28432384\"] \n  7 -> 10 [size =\"28432384\"]\n  7 -> 11 [size =\"28432384\"]\n  7 -> 12 [size =\"28432384\"]\n  8 [size=\"21896533\", alpha=\"0.05\", expect_size=\"6568960\"] \n  8 -> 16 [size =\"6568960\"]\n  8 -> 17 [size =\"6568960\"]\n  8 -> 18 [size =\"6568960\"]\n  8 -> 19 [size =\"6568960\"]\n  9 [size=\"72857600\", alpha=\"0.09\", expect_size=\"21857280\"] \n  9 -> 15 [size =\"21857280\"]\n  9 -> 16 [size =\"21857280\"]\n  9 -> 17 [size =\"21857280\"]\n  9 -> 18 [size =\"21857280\"]\n  10 [size=\"156501333\", alpha=\"0.18\", expect_size=\"46950400\"] \n  10 -> 16 [size =\"46950400\"]\n  10 -> 16 [size =\"46950400\"]\n  10 -> 18 [size =\"46950400\"]\n  11 [size=\"68089173\", alpha=\"0.12\", expect_size=\"20426752\"] \n  11 -> 15 [size =\"20426752\"]\n  11 -> 18 [size =\"20426752\"]\n  11 -> 19 [size =\"20426752\"]\n  12 [size=\"24623787\", alpha=\"0.08\", expect_size=\"7387136\"] \n  12 -> 17 [size =\"7387136\"]\n  12 -> 19 [size =\"7387136\"]\n  13 [size=\"26036907\", alpha=\"0.18\", expect_size=\"7811072\"] \n  13 -> 15 [size =\"7811072\"]\n  13 -> 17 [size =\"7811072\"]\n  13 -> 19 [size =\"7811072\"]\n  14 [size=\"127532373\", alpha=\"0.12\", expect_size=\"38259712\"] \n  14 -> 15 [size =\"38259712\"]\n  14 -> 18 [size =\"38259712\"]\n  14 -> 19 [size =\"38259712\"]\n  14 -> 20 [size =\"38259712\"]\n  15 [size=\"115237547\", alpha=\"0.08\", expect_size=\"34571264\"] \n  16 [size=\"144756053\", alpha=\"0.02\", expect_size=\"43426816\"] \n  17 [size=\"110752427\", alpha=\"0.05\", expect_size=\"33225728\"] \n  18 [size=\"145199787\", alpha=\"0.07\", expect_size=\"43559936\"] \n  19 [size=\"30429867\", alpha=\"0.01\", expect_size=\"9128960\"] \n  20 [size=\"100812800\", alpha=\"0.18\", expect_size=\"30243840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97511424\", alpha=\"0.11\", expect_size=\"48755712\"] \n  1 -> 2 [size =\"48755712\"]\n  2 [size=\"53297152\", alpha=\"0.12\", expect_size=\"26648576\"] \n  2 -> 3 [size =\"26648576\"]\n  3 [size=\"74733568\", alpha=\"0.07\", expect_size=\"37366784\"] \n  3 -> 4 [size =\"37366784\"]\n  4 [size=\"16574464\", alpha=\"0.05\", expect_size=\"8287232\"] \n  4 -> 5 [size =\"8287232\"]\n  5 [size=\"41777152\", alpha=\"0.02\", expect_size=\"20888576\"] \n  5 -> 6 [size =\"20888576\"]\n  6 [size=\"48211968\", alpha=\"0.19\", expect_size=\"24105984\"] \n  6 -> 7 [size =\"24105984\"]\n  7 [size=\"87042048\", alpha=\"0.10\", expect_size=\"43521024\"] \n  7 -> 8 [size =\"43521024\"]\n  8 [size=\"38731776\", alpha=\"0.18\", expect_size=\"19365888\"] \n  8 -> 9 [size =\"19365888\"]\n  9 [size=\"19081216\", alpha=\"0.03\", expect_size=\"9540608\"] \n  9 -> 10 [size =\"9540608\"]\n  10 [size=\"36818944\", alpha=\"0.13\", expect_size=\"18409472\"] \n  10 -> 11 [size =\"18409472\"]\n  11 [size=\"36188160\", alpha=\"0.15\", expect_size=\"18094080\"] \n  11 -> 12 [size =\"18094080\"]\n  12 [size=\"89176064\", alpha=\"0.05\", expect_size=\"44588032\"] \n  12 -> 13 [size =\"44588032\"]\n  13 [size=\"50124800\", alpha=\"0.09\", expect_size=\"25062400\"] \n  13 -> 14 [size =\"25062400\"]\n  14 [size=\"82624512\", alpha=\"0.12\", expect_size=\"41312256\"] \n  14 -> 15 [size =\"41312256\"]\n  15 [size=\"13881344\", alpha=\"0.15\", expect_size=\"6940672\"] \n  15 -> 16 [size =\"6940672\"]\n  16 [size=\"24328192\", alpha=\"0.11\", expect_size=\"12164096\"] \n  16 -> 17 [size =\"12164096\"]\n  17 [size=\"18247680\", alpha=\"0.20\", expect_size=\"9123840\"] \n  17 -> 18 [size =\"9123840\"]\n  18 [size=\"63705088\", alpha=\"0.18\", expect_size=\"31852544\"] \n  18 -> 19 [size =\"31852544\"]\n  19 [size=\"56322048\", alpha=\"0.04\", expect_size=\"28161024\"] \n  19 -> 20 [size =\"28161024\"]\n  20 [size=\"68253696\", alpha=\"0.04\", expect_size=\"34126848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62737067\", alpha=\"0.18\", expect_size=\"18821120\"] \n  1 -> 3 [size =\"18821120\"]\n  1 -> 4 [size =\"18821120\"]\n  2 [size=\"77612373\", alpha=\"0.11\", expect_size=\"23283712\"] \n  2 -> 3 [size =\"23283712\"]\n  2 -> 4 [size =\"23283712\"]\n  3 [size=\"133553493\", alpha=\"0.16\", expect_size=\"40066048\"] \n  4 [size=\"106441387\", alpha=\"0.09\", expect_size=\"31932416\"] \n  4 -> 5 [size =\"31932416\"]\n  4 -> 6 [size =\"31932416\"]\n  5 [size=\"126781440\", alpha=\"0.11\", expect_size=\"38034432\"] \n  5 -> 8 [size =\"38034432\"]\n  6 [size=\"111827627\", alpha=\"0.11\", expect_size=\"33548288\"] \n  6 -> 7 [size =\"33548288\"]\n  6 -> 8 [size =\"33548288\"]\n  7 [size=\"126382080\", alpha=\"0.04\", expect_size=\"37914624\"] \n  7 -> 9 [size =\"37914624\"]\n  8 [size=\"62542507\", alpha=\"0.03\", expect_size=\"18762752\"] \n  8 -> 10 [size =\"18762752\"]\n  9 [size=\"52695040\", alpha=\"0.14\", expect_size=\"15808512\"] \n  9 -> 11 [size =\"15808512\"]\n  9 -> 12 [size =\"15808512\"]\n  10 [size=\"53166080\", alpha=\"0.08\", expect_size=\"15949824\"] \n  10 -> 12 [size =\"15949824\"]\n  11 [size=\"54558720\", alpha=\"0.13\", expect_size=\"16367616\"] \n  11 -> 13 [size =\"16367616\"]\n  11 -> 14 [size =\"16367616\"]\n  12 [size=\"38444373\", alpha=\"0.16\", expect_size=\"11533312\"] \n  12 -> 14 [size =\"11533312\"]\n  13 [size=\"125545813\", alpha=\"0.04\", expect_size=\"37663744\"] \n  13 -> 15 [size =\"37663744\"]\n  14 [size=\"97249280\", alpha=\"0.18\", expect_size=\"29174784\"] \n  15 [size=\"171277653\", alpha=\"0.07\", expect_size=\"51383296\"] \n  15 -> 16 [size =\"51383296\"]\n  15 -> 17 [size =\"51383296\"]\n  16 [size=\"100304213\", alpha=\"0.09\", expect_size=\"30091264\"] \n  16 -> 18 [size =\"30091264\"]\n  17 [size=\"26968747\", alpha=\"0.06\", expect_size=\"8090624\"] \n  17 -> 18 [size =\"8090624\"]\n  17 -> 19 [size =\"8090624\"]\n  18 [size=\"54954667\", alpha=\"0.16\", expect_size=\"16486400\"] \n  18 -> 20 [size =\"16486400\"]\n  19 [size=\"79697920\", alpha=\"0.17\", expect_size=\"23909376\"] \n  19 -> 20 [size =\"23909376\"]\n  20 [size=\"33146880\", alpha=\"0.14\", expect_size=\"9944064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86748160\", alpha=\"0.01\", expect_size=\"34699264\"] \n  1 -> 8 [size =\"34699264\"]\n  1 -> 9 [size =\"34699264\"]\n  1 -> 10 [size =\"34699264\"]\n  1 -> 12 [size =\"34699264\"]\n  1 -> 13 [size =\"34699264\"]\n  1 -> 14 [size =\"34699264\"]\n  2 [size=\"45465600\", alpha=\"0.07\", expect_size=\"18186240\"] \n  2 -> 9 [size =\"18186240\"]\n  2 -> 11 [size =\"18186240\"]\n  2 -> 12 [size =\"18186240\"]\n  2 -> 13 [size =\"18186240\"]\n  2 -> 14 [size =\"18186240\"]\n  2 -> 14 [size =\"18186240\"]\n  3 [size=\"59223040\", alpha=\"0.12\", expect_size=\"23689216\"] \n  3 -> 9 [size =\"23689216\"]\n  3 -> 13 [size =\"23689216\"]\n  4 [size=\"19279360\", alpha=\"0.17\", expect_size=\"7711744\"] \n  4 -> 13 [size =\"7711744\"]\n  5 [size=\"78123520\", alpha=\"0.05\", expect_size=\"31249408\"] \n  5 -> 8 [size =\"31249408\"]\n  5 -> 12 [size =\"31249408\"]\n  5 -> 13 [size =\"31249408\"]\n  5 -> 14 [size =\"31249408\"]\n  6 [size=\"107968000\", alpha=\"0.14\", expect_size=\"43187200\"] \n  6 -> 8 [size =\"43187200\"]\n  6 -> 11 [size =\"43187200\"]\n  6 -> 13 [size =\"43187200\"]\n  6 -> 14 [size =\"43187200\"]\n  7 [size=\"110464000\", alpha=\"0.19\", expect_size=\"44185600\"] \n  7 -> 8 [size =\"44185600\"]\n  7 -> 9 [size =\"44185600\"]\n  7 -> 12 [size =\"44185600\"]\n  7 -> 14 [size =\"44185600\"]\n  8 [size=\"62054400\", alpha=\"0.01\", expect_size=\"24821760\"] \n  8 -> 15 [size =\"24821760\"]\n  8 -> 16 [size =\"24821760\"]\n  8 -> 19 [size =\"24821760\"]\n  9 [size=\"17239040\", alpha=\"0.17\", expect_size=\"6895616\"] \n  9 -> 15 [size =\"6895616\"]\n  9 -> 18 [size =\"6895616\"]\n  9 -> 19 [size =\"6895616\"]\n  10 [size=\"82767360\", alpha=\"0.05\", expect_size=\"33106944\"] \n  10 -> 15 [size =\"33106944\"]\n  10 -> 19 [size =\"33106944\"]\n  10 -> 19 [size =\"33106944\"]\n  10 -> 20 [size =\"33106944\"]\n  11 [size=\"112744960\", alpha=\"0.01\", expect_size=\"45097984\"] \n  11 -> 20 [size =\"45097984\"]\n  12 [size=\"118510080\", alpha=\"0.13\", expect_size=\"47404032\"] \n  12 -> 15 [size =\"47404032\"]\n  12 -> 16 [size =\"47404032\"]\n  12 -> 18 [size =\"47404032\"]\n  12 -> 20 [size =\"47404032\"]\n  13 [size=\"40916480\", alpha=\"0.04\", expect_size=\"16366592\"] \n  13 -> 15 [size =\"16366592\"]\n  13 -> 17 [size =\"16366592\"]\n  13 -> 18 [size =\"16366592\"]\n  13 -> 20 [size =\"16366592\"]\n  14 [size=\"113707520\", alpha=\"0.14\", expect_size=\"45483008\"] \n  14 -> 15 [size =\"45483008\"]\n  14 -> 18 [size =\"45483008\"]\n  14 -> 20 [size =\"45483008\"]\n  15 [size=\"98608640\", alpha=\"0.13\", expect_size=\"39443456\"] \n  16 [size=\"130944000\", alpha=\"0.06\", expect_size=\"52377600\"] \n  17 [size=\"97832960\", alpha=\"0.13\", expect_size=\"39133184\"] \n  18 [size=\"91673600\", alpha=\"0.04\", expect_size=\"36669440\"] \n  19 [size=\"95452160\", alpha=\"0.19\", expect_size=\"38180864\"] \n  20 [size=\"76006400\", alpha=\"0.01\", expect_size=\"30402560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137669973\", alpha=\"0.20\", expect_size=\"41300992\"] \n  1 -> 8 [size =\"41300992\"]\n  1 -> 14 [size =\"41300992\"]\n  2 [size=\"95511893\", alpha=\"0.19\", expect_size=\"28653568\"] \n  2 -> 11 [size =\"28653568\"]\n  2 -> 12 [size =\"28653568\"]\n  2 -> 14 [size =\"28653568\"]\n  2 -> 15 [size =\"28653568\"]\n  3 [size=\"105598293\", alpha=\"0.09\", expect_size=\"31679488\"] \n  3 -> 8 [size =\"31679488\"]\n  3 -> 9 [size =\"31679488\"]\n  3 -> 11 [size =\"31679488\"]\n  3 -> 13 [size =\"31679488\"]\n  4 [size=\"73355947\", alpha=\"0.17\", expect_size=\"22006784\"] \n  4 -> 10 [size =\"22006784\"]\n  4 -> 11 [size =\"22006784\"]\n  5 [size=\"91603627\", alpha=\"0.16\", expect_size=\"27481088\"] \n  5 -> 11 [size =\"27481088\"]\n  5 -> 13 [size =\"27481088\"]\n  5 -> 14 [size =\"27481088\"]\n  5 -> 15 [size =\"27481088\"]\n  6 [size=\"47721813\", alpha=\"0.18\", expect_size=\"14316544\"] \n  6 -> 15 [size =\"14316544\"]\n  7 [size=\"86159360\", alpha=\"0.14\", expect_size=\"25847808\"] \n  7 -> 8 [size =\"25847808\"]\n  7 -> 14 [size =\"25847808\"]\n  8 [size=\"155661653\", alpha=\"0.09\", expect_size=\"46698496\"] \n  8 -> 16 [size =\"46698496\"]\n  9 [size=\"85504000\", alpha=\"0.10\", expect_size=\"25651200\"] \n  9 -> 16 [size =\"25651200\"]\n  9 -> 18 [size =\"25651200\"]\n  9 -> 19 [size =\"25651200\"]\n  10 [size=\"148285440\", alpha=\"0.05\", expect_size=\"44485632\"] \n  10 -> 16 [size =\"44485632\"]\n  10 -> 19 [size =\"44485632\"]\n  11 [size=\"48046080\", alpha=\"0.18\", expect_size=\"14413824\"] \n  11 -> 16 [size =\"14413824\"]\n  11 -> 17 [size =\"14413824\"]\n  11 -> 19 [size =\"14413824\"]\n  11 -> 20 [size =\"14413824\"]\n  12 [size=\"47206400\", alpha=\"0.12\", expect_size=\"14161920\"] \n  12 -> 18 [size =\"14161920\"]\n  13 [size=\"40666453\", alpha=\"0.13\", expect_size=\"12199936\"] \n  13 -> 18 [size =\"12199936\"]\n  14 [size=\"111011840\", alpha=\"0.15\", expect_size=\"33303552\"] \n  14 -> 18 [size =\"33303552\"]\n  14 -> 20 [size =\"33303552\"]\n  15 [size=\"89463467\", alpha=\"0.11\", expect_size=\"26839040\"] \n  15 -> 16 [size =\"26839040\"]\n  15 -> 18 [size =\"26839040\"]\n  15 -> 20 [size =\"26839040\"]\n  16 [size=\"59907413\", alpha=\"0.11\", expect_size=\"17972224\"] \n  17 [size=\"40284160\", alpha=\"0.07\", expect_size=\"12085248\"] \n  18 [size=\"150910293\", alpha=\"0.07\", expect_size=\"45273088\"] \n  19 [size=\"67092480\", alpha=\"0.05\", expect_size=\"20127744\"] \n  20 [size=\"142718293\", alpha=\"0.05\", expect_size=\"42815488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60278784\", alpha=\"0.14\", expect_size=\"30139392\"] \n  1 -> 2 [size =\"30139392\"]\n  2 [size=\"100528128\", alpha=\"0.09\", expect_size=\"50264064\"] \n  2 -> 3 [size =\"50264064\"]\n  3 [size=\"47884288\", alpha=\"0.03\", expect_size=\"23942144\"] \n  3 -> 4 [size =\"23942144\"]\n  4 [size=\"21762048\", alpha=\"0.19\", expect_size=\"10881024\"] \n  4 -> 5 [size =\"10881024\"]\n  5 [size=\"76480512\", alpha=\"0.07\", expect_size=\"38240256\"] \n  5 -> 6 [size =\"38240256\"]\n  6 [size=\"34021376\", alpha=\"0.01\", expect_size=\"17010688\"] \n  6 -> 7 [size =\"17010688\"]\n  7 [size=\"13559808\", alpha=\"0.06\", expect_size=\"6779904\"] \n  7 -> 8 [size =\"6779904\"]\n  8 [size=\"68069376\", alpha=\"0.19\", expect_size=\"34034688\"] \n  8 -> 9 [size =\"34034688\"]\n  9 [size=\"89059328\", alpha=\"0.17\", expect_size=\"44529664\"] \n  9 -> 10 [size =\"44529664\"]\n  10 [size=\"57022464\", alpha=\"0.19\", expect_size=\"28511232\"] \n  10 -> 11 [size =\"28511232\"]\n  11 [size=\"39258112\", alpha=\"0.00\", expect_size=\"19629056\"] \n  11 -> 12 [size =\"19629056\"]\n  12 [size=\"12128256\", alpha=\"0.18\", expect_size=\"6064128\"] \n  12 -> 13 [size =\"6064128\"]\n  13 [size=\"55054336\", alpha=\"0.04\", expect_size=\"27527168\"] \n  13 -> 14 [size =\"27527168\"]\n  14 [size=\"66914304\", alpha=\"0.06\", expect_size=\"33457152\"] \n  14 -> 15 [size =\"33457152\"]\n  15 [size=\"60108800\", alpha=\"0.17\", expect_size=\"30054400\"] \n  15 -> 16 [size =\"30054400\"]\n  16 [size=\"91953152\", alpha=\"0.08\", expect_size=\"45976576\"] \n  16 -> 17 [size =\"45976576\"]\n  17 [size=\"97802240\", alpha=\"0.09\", expect_size=\"48901120\"] \n  17 -> 18 [size =\"48901120\"]\n  18 [size=\"31674368\", alpha=\"0.06\", expect_size=\"15837184\"] \n  18 -> 19 [size =\"15837184\"]\n  19 [size=\"28512256\", alpha=\"0.10\", expect_size=\"14256128\"] \n  19 -> 20 [size =\"14256128\"]\n  20 [size=\"16074752\", alpha=\"0.11\", expect_size=\"8037376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102717440\", alpha=\"0.17\", expect_size=\"30815232\"] \n  1 -> 6 [size =\"30815232\"]\n  1 -> 8 [size =\"30815232\"]\n  1 -> 10 [size =\"30815232\"]\n  1 -> 12 [size =\"30815232\"]\n  2 [size=\"164867413\", alpha=\"0.03\", expect_size=\"49460224\"] \n  2 -> 8 [size =\"49460224\"]\n  2 -> 10 [size =\"49460224\"]\n  2 -> 12 [size =\"49460224\"]\n  3 [size=\"79633067\", alpha=\"0.02\", expect_size=\"23889920\"] \n  3 -> 9 [size =\"23889920\"]\n  4 [size=\"89190400\", alpha=\"0.16\", expect_size=\"26757120\"] \n  4 -> 6 [size =\"26757120\"]\n  4 -> 8 [size =\"26757120\"]\n  5 [size=\"65338027\", alpha=\"0.07\", expect_size=\"19601408\"] \n  5 -> 7 [size =\"19601408\"]\n  5 -> 9 [size =\"19601408\"]\n  5 -> 11 [size =\"19601408\"]\n  5 -> 12 [size =\"19601408\"]\n  6 [size=\"168239787\", alpha=\"0.03\", expect_size=\"50471936\"] \n  6 -> 16 [size =\"50471936\"]\n  6 -> 17 [size =\"50471936\"]\n  6 -> 19 [size =\"50471936\"]\n  7 [size=\"40355840\", alpha=\"0.03\", expect_size=\"12106752\"] \n  7 -> 14 [size =\"12106752\"]\n  7 -> 15 [size =\"12106752\"]\n  7 -> 17 [size =\"12106752\"]\n  7 -> 19 [size =\"12106752\"]\n  8 [size=\"141243733\", alpha=\"0.06\", expect_size=\"42373120\"] \n  8 -> 17 [size =\"42373120\"]\n  8 -> 18 [size =\"42373120\"]\n  8 -> 19 [size =\"42373120\"]\n  8 -> 20 [size =\"42373120\"]\n  9 [size=\"127883947\", alpha=\"0.04\", expect_size=\"38365184\"] \n  9 -> 20 [size =\"38365184\"]\n  10 [size=\"140161707\", alpha=\"0.12\", expect_size=\"42048512\"] \n  10 -> 14 [size =\"42048512\"]\n  11 [size=\"72393387\", alpha=\"0.10\", expect_size=\"21718016\"] \n  11 -> 13 [size =\"21718016\"]\n  11 -> 14 [size =\"21718016\"]\n  11 -> 15 [size =\"21718016\"]\n  11 -> 18 [size =\"21718016\"]\n  11 -> 20 [size =\"21718016\"]\n  12 [size=\"52391253\", alpha=\"0.08\", expect_size=\"15717376\"] \n  12 -> 15 [size =\"15717376\"]\n  12 -> 17 [size =\"15717376\"]\n  12 -> 19 [size =\"15717376\"]\n  13 [size=\"79766187\", alpha=\"0.19\", expect_size=\"23929856\"] \n  14 [size=\"93463893\", alpha=\"0.06\", expect_size=\"28039168\"] \n  15 [size=\"65146880\", alpha=\"0.16\", expect_size=\"19544064\"] \n  16 [size=\"121398613\", alpha=\"0.08\", expect_size=\"36419584\"] \n  17 [size=\"145111040\", alpha=\"0.10\", expect_size=\"43533312\"] \n  18 [size=\"172008107\", alpha=\"0.18\", expect_size=\"51602432\"] \n  19 [size=\"59709440\", alpha=\"0.04\", expect_size=\"17912832\"] \n  20 [size=\"93071360\", alpha=\"0.09\", expect_size=\"27921408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72335360\", alpha=\"0.08\", expect_size=\"28934144\"] \n  1 -> 2 [size =\"28934144\"]\n  2 [size=\"99752960\", alpha=\"0.07\", expect_size=\"39901184\"] \n  2 -> 3 [size =\"39901184\"]\n  2 -> 4 [size =\"39901184\"]\n  3 [size=\"77521920\", alpha=\"0.06\", expect_size=\"31008768\"] \n  3 -> 5 [size =\"31008768\"]\n  3 -> 6 [size =\"31008768\"]\n  4 [size=\"81523200\", alpha=\"0.16\", expect_size=\"32609280\"] \n  4 -> 6 [size =\"32609280\"]\n  5 [size=\"114273280\", alpha=\"0.10\", expect_size=\"45709312\"] \n  5 -> 8 [size =\"45709312\"]\n  6 [size=\"102428160\", alpha=\"0.02\", expect_size=\"40971264\"] \n  6 -> 7 [size =\"40971264\"]\n  7 [size=\"25144320\", alpha=\"0.04\", expect_size=\"10057728\"] \n  7 -> 9 [size =\"10057728\"]\n  7 -> 10 [size =\"10057728\"]\n  8 [size=\"99584000\", alpha=\"0.17\", expect_size=\"39833600\"] \n  8 -> 9 [size =\"39833600\"]\n  8 -> 10 [size =\"39833600\"]\n  9 [size=\"63751680\", alpha=\"0.08\", expect_size=\"25500672\"] \n  9 -> 11 [size =\"25500672\"]\n  10 [size=\"21578240\", alpha=\"0.11\", expect_size=\"8631296\"] \n  10 -> 12 [size =\"8631296\"]\n  11 [size=\"111736320\", alpha=\"0.11\", expect_size=\"44694528\"] \n  11 -> 13 [size =\"44694528\"]\n  12 [size=\"40732160\", alpha=\"0.07\", expect_size=\"16292864\"] \n  12 -> 13 [size =\"16292864\"]\n  12 -> 14 [size =\"16292864\"]\n  13 [size=\"79324160\", alpha=\"0.03\", expect_size=\"31729664\"] \n  13 -> 15 [size =\"31729664\"]\n  13 -> 16 [size =\"31729664\"]\n  14 [size=\"114396160\", alpha=\"0.15\", expect_size=\"45758464\"] \n  15 [size=\"87971840\", alpha=\"0.03\", expect_size=\"35188736\"] \n  15 -> 17 [size =\"35188736\"]\n  16 [size=\"30699520\", alpha=\"0.00\", expect_size=\"12279808\"] \n  16 -> 17 [size =\"12279808\"]\n  17 [size=\"42147840\", alpha=\"0.03\", expect_size=\"16859136\"] \n  17 -> 18 [size =\"16859136\"]\n  18 [size=\"65556480\", alpha=\"0.17\", expect_size=\"26222592\"] \n  18 -> 19 [size =\"26222592\"]\n  18 -> 20 [size =\"26222592\"]\n  19 [size=\"50071040\", alpha=\"0.07\", expect_size=\"20028416\"] \n  20 [size=\"99281920\", alpha=\"0.18\", expect_size=\"39712768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102013440\", alpha=\"0.02\", expect_size=\"40805376\"] \n  1 -> 5 [size =\"40805376\"]\n  1 -> 6 [size =\"40805376\"]\n  1 -> 7 [size =\"40805376\"]\n  2 [size=\"90708480\", alpha=\"0.04\", expect_size=\"36283392\"] \n  2 -> 5 [size =\"36283392\"]\n  2 -> 6 [size =\"36283392\"]\n  3 [size=\"102627840\", alpha=\"0.16\", expect_size=\"41051136\"] \n  3 -> 5 [size =\"41051136\"]\n  3 -> 6 [size =\"41051136\"]\n  4 [size=\"115159040\", alpha=\"0.09\", expect_size=\"46063616\"] \n  4 -> 5 [size =\"46063616\"]\n  5 [size=\"40883200\", alpha=\"0.06\", expect_size=\"16353280\"] \n  5 -> 8 [size =\"16353280\"]\n  5 -> 9 [size =\"16353280\"]\n  5 -> 10 [size =\"16353280\"]\n  5 -> 11 [size =\"16353280\"]\n  6 [size=\"76272640\", alpha=\"0.12\", expect_size=\"30509056\"] \n  6 -> 10 [size =\"30509056\"]\n  7 [size=\"25536000\", alpha=\"0.11\", expect_size=\"10214400\"] \n  7 -> 9 [size =\"10214400\"]\n  7 -> 10 [size =\"10214400\"]\n  8 [size=\"36989440\", alpha=\"0.04\", expect_size=\"14795776\"] \n  8 -> 13 [size =\"14795776\"]\n  9 [size=\"105656320\", alpha=\"0.15\", expect_size=\"42262528\"] \n  9 -> 14 [size =\"42262528\"]\n  10 [size=\"21624320\", alpha=\"0.16\", expect_size=\"8649728\"] \n  10 -> 12 [size =\"8649728\"]\n  10 -> 14 [size =\"8649728\"]\n  11 [size=\"33175040\", alpha=\"0.16\", expect_size=\"13270016\"] \n  12 [size=\"43924480\", alpha=\"0.10\", expect_size=\"17569792\"] \n  12 -> 15 [size =\"17569792\"]\n  12 -> 16 [size =\"17569792\"]\n  12 -> 17 [size =\"17569792\"]\n  13 [size=\"69073920\", alpha=\"0.11\", expect_size=\"27629568\"] \n  13 -> 15 [size =\"27629568\"]\n  13 -> 16 [size =\"27629568\"]\n  13 -> 17 [size =\"27629568\"]\n  14 [size=\"43048960\", alpha=\"0.13\", expect_size=\"17219584\"] \n  14 -> 17 [size =\"17219584\"]\n  15 [size=\"98803200\", alpha=\"0.01\", expect_size=\"39521280\"] \n  15 -> 19 [size =\"39521280\"]\n  16 [size=\"13450240\", alpha=\"0.15\", expect_size=\"5380096\"] \n  16 -> 18 [size =\"5380096\"]\n  17 [size=\"86635520\", alpha=\"0.16\", expect_size=\"34654208\"] \n  18 [size=\"36113920\", alpha=\"0.03\", expect_size=\"14445568\"] \n  18 -> 20 [size =\"14445568\"]\n  19 [size=\"60451840\", alpha=\"0.13\", expect_size=\"24180736\"] \n  19 -> 20 [size =\"24180736\"]\n  20 [size=\"32471040\", alpha=\"0.06\", expect_size=\"12988416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48389120\", alpha=\"0.10\", expect_size=\"19355648\"] \n  1 -> 2 [size =\"19355648\"]\n  2 [size=\"121387520\", alpha=\"0.17\", expect_size=\"48555008\"] \n  2 -> 3 [size =\"48555008\"]\n  3 [size=\"38056960\", alpha=\"0.09\", expect_size=\"15222784\"] \n  3 -> 4 [size =\"15222784\"]\n  4 [size=\"54077440\", alpha=\"0.04\", expect_size=\"21630976\"] \n  4 -> 5 [size =\"21630976\"]\n  5 [size=\"21967360\", alpha=\"0.18\", expect_size=\"8786944\"] \n  5 -> 6 [size =\"8786944\"]\n  6 [size=\"55127040\", alpha=\"0.01\", expect_size=\"22050816\"] \n  6 -> 7 [size =\"22050816\"]\n  7 [size=\"50081280\", alpha=\"0.12\", expect_size=\"20032512\"] \n  7 -> 8 [size =\"20032512\"]\n  8 [size=\"62842880\", alpha=\"0.07\", expect_size=\"25137152\"] \n  8 -> 9 [size =\"25137152\"]\n  9 [size=\"53496320\", alpha=\"0.02\", expect_size=\"21398528\"] \n  9 -> 10 [size =\"21398528\"]\n  10 [size=\"38909440\", alpha=\"0.19\", expect_size=\"15563776\"] \n  10 -> 11 [size =\"15563776\"]\n  11 [size=\"32568320\", alpha=\"0.04\", expect_size=\"13027328\"] \n  11 -> 12 [size =\"13027328\"]\n  12 [size=\"92500480\", alpha=\"0.19\", expect_size=\"37000192\"] \n  12 -> 13 [size =\"37000192\"]\n  13 [size=\"75133440\", alpha=\"0.11\", expect_size=\"30053376\"] \n  13 -> 14 [size =\"30053376\"]\n  14 [size=\"130805760\", alpha=\"0.11\", expect_size=\"52322304\"] \n  14 -> 15 [size =\"52322304\"]\n  15 [size=\"36666880\", alpha=\"0.05\", expect_size=\"14666752\"] \n  15 -> 16 [size =\"14666752\"]\n  16 [size=\"23088640\", alpha=\"0.05\", expect_size=\"9235456\"] \n  16 -> 17 [size =\"9235456\"]\n  17 [size=\"28372480\", alpha=\"0.11\", expect_size=\"11348992\"] \n  17 -> 18 [size =\"11348992\"]\n  18 [size=\"100341760\", alpha=\"0.05\", expect_size=\"40136704\"] \n  18 -> 19 [size =\"40136704\"]\n  19 [size=\"25960960\", alpha=\"0.15\", expect_size=\"10384384\"] \n  19 -> 20 [size =\"10384384\"]\n  20 [size=\"37030400\", alpha=\"0.03\", expect_size=\"14812160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88539136\", alpha=\"0.15\", expect_size=\"44269568\"] \n  2 [size=\"46997504\", alpha=\"0.08\", expect_size=\"23498752\"] \n  3 [size=\"80406528\", alpha=\"0.15\", expect_size=\"40203264\"] \n  3 -> 13 [size =\"40203264\"]\n  3 -> 15 [size =\"40203264\"]\n  4 [size=\"17074176\", alpha=\"0.06\", expect_size=\"8537088\"] \n  4 -> 14 [size =\"8537088\"]\n  5 [size=\"72151040\", alpha=\"0.09\", expect_size=\"36075520\"] \n  5 -> 15 [size =\"36075520\"]\n  6 [size=\"33564672\", alpha=\"0.09\", expect_size=\"16782336\"] \n  6 -> 11 [size =\"16782336\"]\n  7 [size=\"46215168\", alpha=\"0.04\", expect_size=\"23107584\"] \n  7 -> 13 [size =\"23107584\"]\n  8 [size=\"78923776\", alpha=\"0.13\", expect_size=\"39461888\"] \n  8 -> 11 [size =\"39461888\"]\n  8 -> 12 [size =\"39461888\"]\n  8 -> 15 [size =\"39461888\"]\n  9 [size=\"11266048\", alpha=\"0.10\", expect_size=\"5633024\"] \n  9 -> 11 [size =\"5633024\"]\n  9 -> 13 [size =\"5633024\"]\n  10 [size=\"83494912\", alpha=\"0.11\", expect_size=\"41747456\"] \n  10 -> 12 [size =\"41747456\"]\n  10 -> 14 [size =\"41747456\"]\n  11 [size=\"16101376\", alpha=\"0.14\", expect_size=\"8050688\"] \n  11 -> 17 [size =\"8050688\"]\n  12 [size=\"88154112\", alpha=\"0.15\", expect_size=\"44077056\"] \n  12 -> 16 [size =\"44077056\"]\n  12 -> 18 [size =\"44077056\"]\n  12 -> 20 [size =\"44077056\"]\n  13 [size=\"31985664\", alpha=\"0.18\", expect_size=\"15992832\"] \n  13 -> 17 [size =\"15992832\"]\n  13 -> 18 [size =\"15992832\"]\n  13 -> 20 [size =\"15992832\"]\n  14 [size=\"102309888\", alpha=\"0.08\", expect_size=\"51154944\"] \n  14 -> 17 [size =\"51154944\"]\n  14 -> 19 [size =\"51154944\"]\n  15 [size=\"36141056\", alpha=\"0.13\", expect_size=\"18070528\"] \n  15 -> 16 [size =\"18070528\"]\n  16 [size=\"76675072\", alpha=\"0.19\", expect_size=\"38337536\"] \n  17 [size=\"25497600\", alpha=\"0.17\", expect_size=\"12748800\"] \n  18 [size=\"42115072\", alpha=\"0.04\", expect_size=\"21057536\"] \n  19 [size=\"103389184\", alpha=\"0.17\", expect_size=\"51694592\"] \n  20 [size=\"55812096\", alpha=\"0.10\", expect_size=\"27906048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168843947\", alpha=\"0.14\", expect_size=\"50653184\"] \n  1 -> 9 [size =\"50653184\"]\n  1 -> 11 [size =\"50653184\"]\n  1 -> 15 [size =\"50653184\"]\n  2 [size=\"112329387\", alpha=\"0.10\", expect_size=\"33698816\"] \n  2 -> 13 [size =\"33698816\"]\n  3 [size=\"80902827\", alpha=\"0.01\", expect_size=\"24270848\"] \n  3 -> 11 [size =\"24270848\"]\n  3 -> 15 [size =\"24270848\"]\n  4 [size=\"74745173\", alpha=\"0.15\", expect_size=\"22423552\"] \n  4 -> 12 [size =\"22423552\"]\n  4 -> 14 [size =\"22423552\"]\n  5 [size=\"105997653\", alpha=\"0.19\", expect_size=\"31799296\"] \n  5 -> 9 [size =\"31799296\"]\n  5 -> 15 [size =\"31799296\"]\n  6 [size=\"36246187\", alpha=\"0.12\", expect_size=\"10873856\"] \n  6 -> 14 [size =\"10873856\"]\n  7 [size=\"91921067\", alpha=\"0.18\", expect_size=\"27576320\"] \n  8 [size=\"122565973\", alpha=\"0.01\", expect_size=\"36769792\"] \n  8 -> 10 [size =\"36769792\"]\n  8 -> 13 [size =\"36769792\"]\n  8 -> 14 [size =\"36769792\"]\n  8 -> 15 [size =\"36769792\"]\n  9 [size=\"77253973\", alpha=\"0.02\", expect_size=\"23176192\"] \n  9 -> 16 [size =\"23176192\"]\n  9 -> 18 [size =\"23176192\"]\n  9 -> 20 [size =\"23176192\"]\n  10 [size=\"93440000\", alpha=\"0.10\", expect_size=\"28032000\"] \n  10 -> 16 [size =\"28032000\"]\n  10 -> 17 [size =\"28032000\"]\n  10 -> 18 [size =\"28032000\"]\n  11 [size=\"154309973\", alpha=\"0.10\", expect_size=\"46292992\"] \n  11 -> 16 [size =\"46292992\"]\n  12 [size=\"107158187\", alpha=\"0.13\", expect_size=\"32147456\"] \n  13 [size=\"30085120\", alpha=\"0.16\", expect_size=\"9025536\"] \n  13 -> 18 [size =\"9025536\"]\n  13 -> 19 [size =\"9025536\"]\n  13 -> 20 [size =\"9025536\"]\n  14 [size=\"39857493\", alpha=\"0.18\", expect_size=\"11957248\"] \n  14 -> 20 [size =\"11957248\"]\n  15 [size=\"161594027\", alpha=\"0.10\", expect_size=\"48478208\"] \n  16 [size=\"153490773\", alpha=\"0.12\", expect_size=\"46047232\"] \n  17 [size=\"89173333\", alpha=\"0.08\", expect_size=\"26752000\"] \n  18 [size=\"74209280\", alpha=\"0.03\", expect_size=\"22262784\"] \n  19 [size=\"82513920\", alpha=\"0.00\", expect_size=\"24754176\"] \n  20 [size=\"98938880\", alpha=\"0.10\", expect_size=\"29681664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129784320\", alpha=\"0.18\", expect_size=\"51913728\"] \n  2 [size=\"88371200\", alpha=\"0.04\", expect_size=\"35348480\"] \n  2 -> 19 [size =\"35348480\"]\n  3 [size=\"85824000\", alpha=\"0.13\", expect_size=\"34329600\"] \n  3 -> 19 [size =\"34329600\"]\n  4 [size=\"116976640\", alpha=\"0.14\", expect_size=\"46790656\"] \n  4 -> 20 [size =\"46790656\"]\n  5 [size=\"101678080\", alpha=\"0.19\", expect_size=\"40671232\"] \n  5 -> 20 [size =\"40671232\"]\n  6 [size=\"68495360\", alpha=\"0.18\", expect_size=\"27398144\"] \n  6 -> 18 [size =\"27398144\"]\n  7 [size=\"39889920\", alpha=\"0.04\", expect_size=\"15955968\"] \n  7 -> 18 [size =\"15955968\"]\n  7 -> 19 [size =\"15955968\"]\n  8 [size=\"29250560\", alpha=\"0.14\", expect_size=\"11700224\"] \n  8 -> 18 [size =\"11700224\"]\n  9 [size=\"67412480\", alpha=\"0.10\", expect_size=\"26964992\"] \n  9 -> 19 [size =\"26964992\"]\n  10 [size=\"97825280\", alpha=\"0.08\", expect_size=\"39130112\"] \n  10 -> 20 [size =\"39130112\"]\n  11 [size=\"62817280\", alpha=\"0.20\", expect_size=\"25126912\"] \n  11 -> 18 [size =\"25126912\"]\n  11 -> 20 [size =\"25126912\"]\n  12 [size=\"48847360\", alpha=\"0.16\", expect_size=\"19538944\"] \n  12 -> 18 [size =\"19538944\"]\n  12 -> 20 [size =\"19538944\"]\n  13 [size=\"75136000\", alpha=\"0.18\", expect_size=\"30054400\"] \n  13 -> 20 [size =\"30054400\"]\n  14 [size=\"34974720\", alpha=\"0.01\", expect_size=\"13989888\"] \n  14 -> 20 [size =\"13989888\"]\n  15 [size=\"120483840\", alpha=\"0.00\", expect_size=\"48193536\"] \n  16 [size=\"115558400\", alpha=\"0.10\", expect_size=\"46223360\"] \n  17 [size=\"104724480\", alpha=\"0.12\", expect_size=\"41889792\"] \n  18 [size=\"129986560\", alpha=\"0.14\", expect_size=\"51994624\"] \n  19 [size=\"96483840\", alpha=\"0.09\", expect_size=\"38593536\"] \n  20 [size=\"38952960\", alpha=\"0.14\", expect_size=\"15581184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158081707\", alpha=\"0.13\", expect_size=\"47424512\"] \n  1 -> 2 [size =\"47424512\"]\n  2 [size=\"81220267\", alpha=\"0.14\", expect_size=\"24366080\"] \n  2 -> 3 [size =\"24366080\"]\n  3 [size=\"82083840\", alpha=\"0.15\", expect_size=\"24625152\"] \n  3 -> 4 [size =\"24625152\"]\n  4 [size=\"156248747\", alpha=\"0.17\", expect_size=\"46874624\"] \n  4 -> 5 [size =\"46874624\"]\n  5 [size=\"83264853\", alpha=\"0.02\", expect_size=\"24979456\"] \n  5 -> 6 [size =\"24979456\"]\n  6 [size=\"45120853\", alpha=\"0.13\", expect_size=\"13536256\"] \n  6 -> 7 [size =\"13536256\"]\n  7 [size=\"95808853\", alpha=\"0.18\", expect_size=\"28742656\"] \n  7 -> 8 [size =\"28742656\"]\n  8 [size=\"125641387\", alpha=\"0.07\", expect_size=\"37692416\"] \n  8 -> 9 [size =\"37692416\"]\n  9 [size=\"22118400\", alpha=\"0.06\", expect_size=\"6635520\"] \n  9 -> 10 [size =\"6635520\"]\n  10 [size=\"153852587\", alpha=\"0.14\", expect_size=\"46155776\"] \n  10 -> 11 [size =\"46155776\"]\n  11 [size=\"36068693\", alpha=\"0.18\", expect_size=\"10820608\"] \n  11 -> 12 [size =\"10820608\"]\n  12 [size=\"137216000\", alpha=\"0.00\", expect_size=\"41164800\"] \n  12 -> 13 [size =\"41164800\"]\n  13 [size=\"90446507\", alpha=\"0.14\", expect_size=\"27133952\"] \n  13 -> 14 [size =\"27133952\"]\n  14 [size=\"48155307\", alpha=\"0.13\", expect_size=\"14446592\"] \n  14 -> 15 [size =\"14446592\"]\n  15 [size=\"21794133\", alpha=\"0.15\", expect_size=\"6538240\"] \n  15 -> 16 [size =\"6538240\"]\n  16 [size=\"34597547\", alpha=\"0.08\", expect_size=\"10379264\"] \n  16 -> 17 [size =\"10379264\"]\n  17 [size=\"134628693\", alpha=\"0.16\", expect_size=\"40388608\"] \n  17 -> 18 [size =\"40388608\"]\n  18 [size=\"116821333\", alpha=\"0.09\", expect_size=\"35046400\"] \n  18 -> 19 [size =\"35046400\"]\n  19 [size=\"174496427\", alpha=\"0.16\", expect_size=\"52348928\"] \n  19 -> 20 [size =\"52348928\"]\n  20 [size=\"61337600\", alpha=\"0.14\", expect_size=\"18401280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20947627\", alpha=\"0.01\", expect_size=\"6284288\"] \n  1 -> 2 [size =\"6284288\"]\n  2 [size=\"37584213\", alpha=\"0.13\", expect_size=\"11275264\"] \n  2 -> 3 [size =\"11275264\"]\n  3 [size=\"65771520\", alpha=\"0.08\", expect_size=\"19731456\"] \n  3 -> 4 [size =\"19731456\"]\n  4 [size=\"93361493\", alpha=\"0.14\", expect_size=\"28008448\"] \n  4 -> 5 [size =\"28008448\"]\n  5 [size=\"70888107\", alpha=\"0.12\", expect_size=\"21266432\"] \n  5 -> 6 [size =\"21266432\"]\n  6 [size=\"168342187\", alpha=\"0.07\", expect_size=\"50502656\"] \n  6 -> 7 [size =\"50502656\"]\n  7 [size=\"153442987\", alpha=\"0.15\", expect_size=\"46032896\"] \n  7 -> 8 [size =\"46032896\"]\n  8 [size=\"27658240\", alpha=\"0.11\", expect_size=\"8297472\"] \n  8 -> 9 [size =\"8297472\"]\n  9 [size=\"17517227\", alpha=\"0.07\", expect_size=\"5255168\"] \n  9 -> 10 [size =\"5255168\"]\n  10 [size=\"125897387\", alpha=\"0.03\", expect_size=\"37769216\"] \n  10 -> 11 [size =\"37769216\"]\n  11 [size=\"56845653\", alpha=\"0.09\", expect_size=\"17053696\"] \n  11 -> 12 [size =\"17053696\"]\n  12 [size=\"61911040\", alpha=\"0.10\", expect_size=\"18573312\"] \n  12 -> 13 [size =\"18573312\"]\n  13 [size=\"162826240\", alpha=\"0.01\", expect_size=\"48847872\"] \n  13 -> 14 [size =\"48847872\"]\n  14 [size=\"67307520\", alpha=\"0.04\", expect_size=\"20192256\"] \n  14 -> 15 [size =\"20192256\"]\n  15 [size=\"21077333\", alpha=\"0.12\", expect_size=\"6323200\"] \n  15 -> 16 [size =\"6323200\"]\n  16 [size=\"113827840\", alpha=\"0.10\", expect_size=\"34148352\"] \n  16 -> 17 [size =\"34148352\"]\n  17 [size=\"170379947\", alpha=\"0.15\", expect_size=\"51113984\"] \n  17 -> 18 [size =\"51113984\"]\n  18 [size=\"134444373\", alpha=\"0.01\", expect_size=\"40333312\"] \n  18 -> 19 [size =\"40333312\"]\n  19 [size=\"62750720\", alpha=\"0.01\", expect_size=\"18825216\"] \n  19 -> 20 [size =\"18825216\"]\n  20 [size=\"120244907\", alpha=\"0.11\", expect_size=\"36073472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144960853\", alpha=\"0.10\", expect_size=\"43488256\"] \n  1 -> 20 [size =\"43488256\"]\n  2 [size=\"91316907\", alpha=\"0.20\", expect_size=\"27395072\"] \n  2 -> 19 [size =\"27395072\"]\n  3 [size=\"89354240\", alpha=\"0.04\", expect_size=\"26806272\"] \n  3 -> 13 [size =\"26806272\"]\n  3 -> 18 [size =\"26806272\"]\n  4 [size=\"152879787\", alpha=\"0.01\", expect_size=\"45863936\"] \n  4 -> 13 [size =\"45863936\"]\n  4 -> 15 [size =\"45863936\"]\n  5 [size=\"129307307\", alpha=\"0.11\", expect_size=\"38792192\"] \n  5 -> 13 [size =\"38792192\"]\n  5 -> 15 [size =\"38792192\"]\n  6 [size=\"106741760\", alpha=\"0.08\", expect_size=\"32022528\"] \n  6 -> 15 [size =\"32022528\"]\n  6 -> 16 [size =\"32022528\"]\n  6 -> 18 [size =\"32022528\"]\n  7 [size=\"123770880\", alpha=\"0.09\", expect_size=\"37131264\"] \n  7 -> 12 [size =\"37131264\"]\n  7 -> 13 [size =\"37131264\"]\n  7 -> 15 [size =\"37131264\"]\n  8 [size=\"156016640\", alpha=\"0.12\", expect_size=\"46804992\"] \n  8 -> 13 [size =\"46804992\"]\n  8 -> 17 [size =\"46804992\"]\n  9 [size=\"55118507\", alpha=\"0.02\", expect_size=\"16535552\"] \n  9 -> 13 [size =\"16535552\"]\n  9 -> 15 [size =\"16535552\"]\n  9 -> 17 [size =\"16535552\"]\n  10 [size=\"115828053\", alpha=\"0.03\", expect_size=\"34748416\"] \n  10 -> 11 [size =\"34748416\"]\n  10 -> 14 [size =\"34748416\"]\n  10 -> 15 [size =\"34748416\"]\n  10 -> 20 [size =\"34748416\"]\n  11 [size=\"145107627\", alpha=\"0.03\", expect_size=\"43532288\"] \n  12 [size=\"65071787\", alpha=\"0.03\", expect_size=\"19521536\"] \n  13 [size=\"64996693\", alpha=\"0.15\", expect_size=\"19499008\"] \n  14 [size=\"100276907\", alpha=\"0.06\", expect_size=\"30083072\"] \n  15 [size=\"107383467\", alpha=\"0.11\", expect_size=\"32215040\"] \n  16 [size=\"38130347\", alpha=\"0.15\", expect_size=\"11439104\"] \n  17 [size=\"100044800\", alpha=\"0.03\", expect_size=\"30013440\"] \n  18 [size=\"170622293\", alpha=\"0.04\", expect_size=\"51186688\"] \n  19 [size=\"109810347\", alpha=\"0.03\", expect_size=\"32943104\"] \n  20 [size=\"124538880\", alpha=\"0.01\", expect_size=\"37361664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73541632\", alpha=\"0.18\", expect_size=\"36770816\"] \n  1 -> 9 [size =\"36770816\"]\n  1 -> 11 [size =\"36770816\"]\n  2 [size=\"78319616\", alpha=\"0.01\", expect_size=\"39159808\"] \n  2 -> 7 [size =\"39159808\"]\n  2 -> 9 [size =\"39159808\"]\n  2 -> 10 [size =\"39159808\"]\n  2 -> 11 [size =\"39159808\"]\n  3 [size=\"81874944\", alpha=\"0.04\", expect_size=\"40937472\"] \n  3 -> 7 [size =\"40937472\"]\n  3 -> 8 [size =\"40937472\"]\n  3 -> 9 [size =\"40937472\"]\n  3 -> 11 [size =\"40937472\"]\n  4 [size=\"46798848\", alpha=\"0.14\", expect_size=\"23399424\"] \n  4 -> 7 [size =\"23399424\"]\n  4 -> 8 [size =\"23399424\"]\n  4 -> 9 [size =\"23399424\"]\n  4 -> 10 [size =\"23399424\"]\n  5 [size=\"26339328\", alpha=\"0.02\", expect_size=\"13169664\"] \n  5 -> 8 [size =\"13169664\"]\n  5 -> 10 [size =\"13169664\"]\n  6 [size=\"16353280\", alpha=\"0.06\", expect_size=\"8176640\"] \n  6 -> 9 [size =\"8176640\"]\n  7 [size=\"60332032\", alpha=\"0.12\", expect_size=\"30166016\"] \n  7 -> 12 [size =\"30166016\"]\n  7 -> 13 [size =\"30166016\"]\n  7 -> 14 [size =\"30166016\"]\n  7 -> 15 [size =\"30166016\"]\n  7 -> 16 [size =\"30166016\"]\n  7 -> 18 [size =\"30166016\"]\n  7 -> 19 [size =\"30166016\"]\n  7 -> 20 [size =\"30166016\"]\n  8 [size=\"102848512\", alpha=\"0.03\", expect_size=\"51424256\"] \n  8 -> 12 [size =\"51424256\"]\n  8 -> 16 [size =\"51424256\"]\n  8 -> 18 [size =\"51424256\"]\n  8 -> 20 [size =\"51424256\"]\n  9 [size=\"43689984\", alpha=\"0.15\", expect_size=\"21844992\"] \n  9 -> 12 [size =\"21844992\"]\n  9 -> 14 [size =\"21844992\"]\n  9 -> 16 [size =\"21844992\"]\n  9 -> 18 [size =\"21844992\"]\n  9 -> 19 [size =\"21844992\"]\n  9 -> 20 [size =\"21844992\"]\n  10 [size=\"72984576\", alpha=\"0.15\", expect_size=\"36492288\"] \n  10 -> 12 [size =\"36492288\"]\n  10 -> 13 [size =\"36492288\"]\n  10 -> 14 [size =\"36492288\"]\n  10 -> 16 [size =\"36492288\"]\n  10 -> 17 [size =\"36492288\"]\n  10 -> 18 [size =\"36492288\"]\n  10 -> 19 [size =\"36492288\"]\n  10 -> 20 [size =\"36492288\"]\n  11 [size=\"65028096\", alpha=\"0.02\", expect_size=\"32514048\"] \n  11 -> 12 [size =\"32514048\"]\n  11 -> 13 [size =\"32514048\"]\n  11 -> 14 [size =\"32514048\"]\n  11 -> 15 [size =\"32514048\"]\n  11 -> 16 [size =\"32514048\"]\n  11 -> 18 [size =\"32514048\"]\n  11 -> 19 [size =\"32514048\"]\n  11 -> 20 [size =\"32514048\"]\n  12 [size=\"56623104\", alpha=\"0.04\", expect_size=\"28311552\"] \n  13 [size=\"63021056\", alpha=\"0.19\", expect_size=\"31510528\"] \n  14 [size=\"80424960\", alpha=\"0.02\", expect_size=\"40212480\"] \n  15 [size=\"51542016\", alpha=\"0.01\", expect_size=\"25771008\"] \n  16 [size=\"60579840\", alpha=\"0.15\", expect_size=\"30289920\"] \n  17 [size=\"90798080\", alpha=\"0.02\", expect_size=\"45399040\"] \n  18 [size=\"55191552\", alpha=\"0.14\", expect_size=\"27595776\"] \n  19 [size=\"70146048\", alpha=\"0.19\", expect_size=\"35073024\"] \n  20 [size=\"46798848\", alpha=\"0.10\", expect_size=\"23399424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101634048\", alpha=\"0.15\", expect_size=\"50817024\"] \n  1 -> 2 [size =\"50817024\"]\n  2 [size=\"92194816\", alpha=\"0.11\", expect_size=\"46097408\"] \n  2 -> 3 [size =\"46097408\"]\n  3 [size=\"17922048\", alpha=\"0.19\", expect_size=\"8961024\"] \n  3 -> 4 [size =\"8961024\"]\n  4 [size=\"46428160\", alpha=\"0.09\", expect_size=\"23214080\"] \n  4 -> 5 [size =\"23214080\"]\n  5 [size=\"31152128\", alpha=\"0.05\", expect_size=\"15576064\"] \n  5 -> 6 [size =\"15576064\"]\n  6 [size=\"52555776\", alpha=\"0.04\", expect_size=\"26277888\"] \n  6 -> 7 [size =\"26277888\"]\n  7 [size=\"22263808\", alpha=\"0.12\", expect_size=\"11131904\"] \n  7 -> 8 [size =\"11131904\"]\n  8 [size=\"94115840\", alpha=\"0.06\", expect_size=\"47057920\"] \n  8 -> 9 [size =\"47057920\"]\n  9 [size=\"70645760\", alpha=\"0.17\", expect_size=\"35322880\"] \n  9 -> 10 [size =\"35322880\"]\n  10 [size=\"50352128\", alpha=\"0.16\", expect_size=\"25176064\"] \n  10 -> 11 [size =\"25176064\"]\n  11 [size=\"54093824\", alpha=\"0.09\", expect_size=\"27046912\"] \n  11 -> 12 [size =\"27046912\"]\n  12 [size=\"31295488\", alpha=\"0.08\", expect_size=\"15647744\"] \n  12 -> 13 [size =\"15647744\"]\n  13 [size=\"81199104\", alpha=\"0.03\", expect_size=\"40599552\"] \n  13 -> 14 [size =\"40599552\"]\n  14 [size=\"77584384\", alpha=\"0.11\", expect_size=\"38792192\"] \n  14 -> 15 [size =\"38792192\"]\n  15 [size=\"23617536\", alpha=\"0.19\", expect_size=\"11808768\"] \n  15 -> 16 [size =\"11808768\"]\n  16 [size=\"45873152\", alpha=\"0.14\", expect_size=\"22936576\"] \n  16 -> 17 [size =\"22936576\"]\n  17 [size=\"62482432\", alpha=\"0.13\", expect_size=\"31241216\"] \n  17 -> 18 [size =\"31241216\"]\n  18 [size=\"24838144\", alpha=\"0.03\", expect_size=\"12419072\"] \n  18 -> 19 [size =\"12419072\"]\n  19 [size=\"52004864\", alpha=\"0.05\", expect_size=\"26002432\"] \n  19 -> 20 [size =\"26002432\"]\n  20 [size=\"40167424\", alpha=\"0.11\", expect_size=\"20083712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63371947\", alpha=\"0.05\", expect_size=\"19011584\"] \n  2 [size=\"62610773\", alpha=\"0.06\", expect_size=\"18783232\"] \n  2 -> 6 [size =\"18783232\"]\n  2 -> 8 [size =\"18783232\"]\n  3 [size=\"147845120\", alpha=\"0.07\", expect_size=\"44353536\"] \n  3 -> 7 [size =\"44353536\"]\n  4 [size=\"42137600\", alpha=\"0.03\", expect_size=\"12641280\"] \n  4 -> 5 [size =\"12641280\"]\n  4 -> 7 [size =\"12641280\"]\n  4 -> 8 [size =\"12641280\"]\n  5 [size=\"40878080\", alpha=\"0.17\", expect_size=\"12263424\"] \n  5 -> 9 [size =\"12263424\"]\n  5 -> 10 [size =\"12263424\"]\n  5 -> 11 [size =\"12263424\"]\n  5 -> 12 [size =\"12263424\"]\n  6 [size=\"112643413\", alpha=\"0.13\", expect_size=\"33793024\"] \n  6 -> 12 [size =\"33793024\"]\n  7 [size=\"33508693\", alpha=\"0.10\", expect_size=\"10052608\"] \n  7 -> 9 [size =\"10052608\"]\n  7 -> 11 [size =\"10052608\"]\n  7 -> 12 [size =\"10052608\"]\n  8 [size=\"94791680\", alpha=\"0.03\", expect_size=\"28437504\"] \n  8 -> 11 [size =\"28437504\"]\n  9 [size=\"17646933\", alpha=\"0.17\", expect_size=\"5294080\"] \n  9 -> 14 [size =\"5294080\"]\n  9 -> 15 [size =\"5294080\"]\n  9 -> 16 [size =\"5294080\"]\n  9 -> 17 [size =\"5294080\"]\n  10 [size=\"122013013\", alpha=\"0.15\", expect_size=\"36603904\"] \n  10 -> 16 [size =\"36603904\"]\n  10 -> 17 [size =\"36603904\"]\n  11 [size=\"58166613\", alpha=\"0.19\", expect_size=\"17449984\"] \n  11 -> 13 [size =\"17449984\"]\n  11 -> 17 [size =\"17449984\"]\n  12 [size=\"100352000\", alpha=\"0.00\", expect_size=\"30105600\"] \n  12 -> 13 [size =\"30105600\"]\n  12 -> 14 [size =\"30105600\"]\n  12 -> 16 [size =\"30105600\"]\n  13 [size=\"144288427\", alpha=\"0.10\", expect_size=\"43286528\"] \n  13 -> 18 [size =\"43286528\"]\n  13 -> 19 [size =\"43286528\"]\n  14 [size=\"42639360\", alpha=\"0.00\", expect_size=\"12791808\"] \n  14 -> 19 [size =\"12791808\"]\n  15 [size=\"65740800\", alpha=\"0.17\", expect_size=\"19722240\"] \n  16 [size=\"43991040\", alpha=\"0.02\", expect_size=\"13197312\"] \n  17 [size=\"148121600\", alpha=\"0.19\", expect_size=\"44436480\"] \n  17 -> 20 [size =\"44436480\"]\n  18 [size=\"67089067\", alpha=\"0.02\", expect_size=\"20126720\"] \n  19 [size=\"89637547\", alpha=\"0.14\", expect_size=\"26891264\"] \n  20 [size=\"62170453\", alpha=\"0.19\", expect_size=\"18651136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55859200\", alpha=\"0.14\", expect_size=\"16757760\"] \n  1 -> 12 [size =\"16757760\"]\n  2 [size=\"123825493\", alpha=\"0.09\", expect_size=\"37147648\"] \n  2 -> 14 [size =\"37147648\"]\n  2 -> 15 [size =\"37147648\"]\n  3 [size=\"70833493\", alpha=\"0.03\", expect_size=\"21250048\"] \n  3 -> 10 [size =\"21250048\"]\n  3 -> 13 [size =\"21250048\"]\n  3 -> 14 [size =\"21250048\"]\n  3 -> 15 [size =\"21250048\"]\n  4 [size=\"81957547\", alpha=\"0.11\", expect_size=\"24587264\"] \n  4 -> 13 [size =\"24587264\"]\n  5 [size=\"41014613\", alpha=\"0.18\", expect_size=\"12304384\"] \n  5 -> 11 [size =\"12304384\"]\n  5 -> 12 [size =\"12304384\"]\n  5 -> 13 [size =\"12304384\"]\n  5 -> 14 [size =\"12304384\"]\n  6 [size=\"24087893\", alpha=\"0.12\", expect_size=\"7226368\"] \n  6 -> 8 [size =\"7226368\"]\n  6 -> 13 [size =\"7226368\"]\n  7 [size=\"45315413\", alpha=\"0.15\", expect_size=\"13594624\"] \n  7 -> 9 [size =\"13594624\"]\n  7 -> 13 [size =\"13594624\"]\n  7 -> 15 [size =\"13594624\"]\n  8 [size=\"63846400\", alpha=\"0.04\", expect_size=\"19153920\"] \n  8 -> 17 [size =\"19153920\"]\n  8 -> 19 [size =\"19153920\"]\n  8 -> 20 [size =\"19153920\"]\n  9 [size=\"39693653\", alpha=\"0.05\", expect_size=\"11908096\"] \n  9 -> 16 [size =\"11908096\"]\n  9 -> 17 [size =\"11908096\"]\n  9 -> 18 [size =\"11908096\"]\n  10 [size=\"101529600\", alpha=\"0.04\", expect_size=\"30458880\"] \n  10 -> 17 [size =\"30458880\"]\n  10 -> 17 [size =\"30458880\"]\n  10 -> 18 [size =\"30458880\"]\n  11 [size=\"174028800\", alpha=\"0.02\", expect_size=\"52208640\"] \n  11 -> 18 [size =\"52208640\"]\n  12 [size=\"125098667\", alpha=\"0.15\", expect_size=\"37529600\"] \n  12 -> 16 [size =\"37529600\"]\n  12 -> 20 [size =\"37529600\"]\n  13 [size=\"36491947\", alpha=\"0.09\", expect_size=\"10947584\"] \n  13 -> 17 [size =\"10947584\"]\n  14 [size=\"60651520\", alpha=\"0.07\", expect_size=\"18195456\"] \n  14 -> 16 [size =\"18195456\"]\n  15 [size=\"144165547\", alpha=\"0.05\", expect_size=\"43249664\"] \n  16 [size=\"129273173\", alpha=\"0.09\", expect_size=\"38781952\"] \n  17 [size=\"65744213\", alpha=\"0.12\", expect_size=\"19723264\"] \n  18 [size=\"30153387\", alpha=\"0.13\", expect_size=\"9046016\"] \n  19 [size=\"63569920\", alpha=\"0.12\", expect_size=\"19070976\"] \n  20 [size=\"104389973\", alpha=\"0.14\", expect_size=\"31316992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97976320\", alpha=\"0.08\", expect_size=\"29392896\"] \n  1 -> 2 [size =\"29392896\"]\n  1 -> 3 [size =\"29392896\"]\n  2 [size=\"126829227\", alpha=\"0.18\", expect_size=\"38048768\"] \n  2 -> 4 [size =\"38048768\"]\n  3 [size=\"151456427\", alpha=\"0.03\", expect_size=\"45436928\"] \n  3 -> 4 [size =\"45436928\"]\n  4 [size=\"139574613\", alpha=\"0.02\", expect_size=\"41872384\"] \n  4 -> 5 [size =\"41872384\"]\n  4 -> 6 [size =\"41872384\"]\n  5 [size=\"163758080\", alpha=\"0.14\", expect_size=\"49127424\"] \n  5 -> 7 [size =\"49127424\"]\n  6 [size=\"85104640\", alpha=\"0.09\", expect_size=\"25531392\"] \n  6 -> 8 [size =\"25531392\"]\n  7 [size=\"125863253\", alpha=\"0.10\", expect_size=\"37758976\"] \n  7 -> 9 [size =\"37758976\"]\n  8 [size=\"111554560\", alpha=\"0.09\", expect_size=\"33466368\"] \n  8 -> 10 [size =\"33466368\"]\n  9 [size=\"150234453\", alpha=\"0.13\", expect_size=\"45070336\"] \n  10 [size=\"126481067\", alpha=\"0.20\", expect_size=\"37944320\"] \n  10 -> 11 [size =\"37944320\"]\n  11 [size=\"156924587\", alpha=\"0.12\", expect_size=\"47077376\"] \n  11 -> 12 [size =\"47077376\"]\n  11 -> 13 [size =\"47077376\"]\n  12 [size=\"60160000\", alpha=\"0.01\", expect_size=\"18048000\"] \n  13 [size=\"46622720\", alpha=\"0.18\", expect_size=\"13986816\"] \n  13 -> 14 [size =\"13986816\"]\n  14 [size=\"71280640\", alpha=\"0.12\", expect_size=\"21384192\"] \n  14 -> 15 [size =\"21384192\"]\n  14 -> 16 [size =\"21384192\"]\n  15 [size=\"84561920\", alpha=\"0.04\", expect_size=\"25368576\"] \n  15 -> 17 [size =\"25368576\"]\n  16 [size=\"40250027\", alpha=\"0.03\", expect_size=\"12075008\"] \n  16 -> 17 [size =\"12075008\"]\n  16 -> 18 [size =\"12075008\"]\n  17 [size=\"114401280\", alpha=\"0.00\", expect_size=\"34320384\"] \n  17 -> 19 [size =\"34320384\"]\n  18 [size=\"36437333\", alpha=\"0.15\", expect_size=\"10931200\"] \n  18 -> 19 [size =\"10931200\"]\n  19 [size=\"108701013\", alpha=\"0.03\", expect_size=\"32610304\"] \n  19 -> 20 [size =\"32610304\"]\n  20 [size=\"55825067\", alpha=\"0.07\", expect_size=\"16747520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124494507\", alpha=\"0.16\", expect_size=\"37348352\"] \n  1 -> 2 [size =\"37348352\"]\n  2 [size=\"27907413\", alpha=\"0.06\", expect_size=\"8372224\"] \n  2 -> 3 [size =\"8372224\"]\n  3 [size=\"121869653\", alpha=\"0.17\", expect_size=\"36560896\"] \n  3 -> 4 [size =\"36560896\"]\n  4 [size=\"96754347\", alpha=\"0.18\", expect_size=\"29026304\"] \n  4 -> 5 [size =\"29026304\"]\n  5 [size=\"170028373\", alpha=\"0.08\", expect_size=\"51008512\"] \n  5 -> 6 [size =\"51008512\"]\n  6 [size=\"22715733\", alpha=\"0.09\", expect_size=\"6814720\"] \n  6 -> 7 [size =\"6814720\"]\n  7 [size=\"120985600\", alpha=\"0.15\", expect_size=\"36295680\"] \n  7 -> 8 [size =\"36295680\"]\n  8 [size=\"97495040\", alpha=\"0.19\", expect_size=\"29248512\"] \n  8 -> 9 [size =\"29248512\"]\n  9 [size=\"138789547\", alpha=\"0.02\", expect_size=\"41636864\"] \n  9 -> 10 [size =\"41636864\"]\n  10 [size=\"74813440\", alpha=\"0.09\", expect_size=\"22444032\"] \n  10 -> 11 [size =\"22444032\"]\n  11 [size=\"98205013\", alpha=\"0.13\", expect_size=\"29461504\"] \n  11 -> 12 [size =\"29461504\"]\n  12 [size=\"62880427\", alpha=\"0.17\", expect_size=\"18864128\"] \n  12 -> 13 [size =\"18864128\"]\n  13 [size=\"111397547\", alpha=\"0.11\", expect_size=\"33419264\"] \n  13 -> 14 [size =\"33419264\"]\n  14 [size=\"91077973\", alpha=\"0.02\", expect_size=\"27323392\"] \n  14 -> 15 [size =\"27323392\"]\n  15 [size=\"78086827\", alpha=\"0.03\", expect_size=\"23426048\"] \n  15 -> 16 [size =\"23426048\"]\n  16 [size=\"144435200\", alpha=\"0.06\", expect_size=\"43330560\"] \n  16 -> 17 [size =\"43330560\"]\n  17 [size=\"60600320\", alpha=\"0.03\", expect_size=\"18180096\"] \n  17 -> 18 [size =\"18180096\"]\n  18 [size=\"18548053\", alpha=\"0.13\", expect_size=\"5564416\"] \n  18 -> 19 [size =\"5564416\"]\n  19 [size=\"164072107\", alpha=\"0.05\", expect_size=\"49221632\"] \n  19 -> 20 [size =\"49221632\"]\n  20 [size=\"22463147\", alpha=\"0.12\", expect_size=\"6738944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84992000\", alpha=\"0.05\", expect_size=\"25497600\"] \n  1 -> 9 [size =\"25497600\"]\n  1 -> 10 [size =\"25497600\"]\n  1 -> 12 [size =\"25497600\"]\n  2 [size=\"129518933\", alpha=\"0.19\", expect_size=\"38855680\"] \n  2 -> 7 [size =\"38855680\"]\n  2 -> 8 [size =\"38855680\"]\n  2 -> 12 [size =\"38855680\"]\n  3 [size=\"153811627\", alpha=\"0.20\", expect_size=\"46143488\"] \n  3 -> 7 [size =\"46143488\"]\n  3 -> 8 [size =\"46143488\"]\n  3 -> 9 [size =\"46143488\"]\n  3 -> 10 [size =\"46143488\"]\n  4 [size=\"74574507\", alpha=\"0.12\", expect_size=\"22372352\"] \n  4 -> 7 [size =\"22372352\"]\n  4 -> 11 [size =\"22372352\"]\n  5 [size=\"167386453\", alpha=\"0.05\", expect_size=\"50215936\"] \n  5 -> 7 [size =\"50215936\"]\n  6 [size=\"91207680\", alpha=\"0.15\", expect_size=\"27362304\"] \n  7 [size=\"123975680\", alpha=\"0.04\", expect_size=\"37192704\"] \n  7 -> 13 [size =\"37192704\"]\n  7 -> 16 [size =\"37192704\"]\n  8 [size=\"58821973\", alpha=\"0.01\", expect_size=\"17646592\"] \n  8 -> 18 [size =\"17646592\"]\n  9 [size=\"25552213\", alpha=\"0.15\", expect_size=\"7665664\"] \n  9 -> 18 [size =\"7665664\"]\n  10 [size=\"66911573\", alpha=\"0.18\", expect_size=\"20073472\"] \n  10 -> 13 [size =\"20073472\"]\n  10 -> 14 [size =\"20073472\"]\n  11 [size=\"168239787\", alpha=\"0.18\", expect_size=\"50471936\"] \n  11 -> 14 [size =\"50471936\"]\n  11 -> 16 [size =\"50471936\"]\n  11 -> 17 [size =\"50471936\"]\n  11 -> 18 [size =\"50471936\"]\n  12 [size=\"52903253\", alpha=\"0.05\", expect_size=\"15870976\"] \n  12 -> 13 [size =\"15870976\"]\n  12 -> 14 [size =\"15870976\"]\n  12 -> 15 [size =\"15870976\"]\n  13 [size=\"42588160\", alpha=\"0.14\", expect_size=\"12776448\"] \n  13 -> 19 [size =\"12776448\"]\n  14 [size=\"41714347\", alpha=\"0.15\", expect_size=\"12514304\"] \n  15 [size=\"134952960\", alpha=\"0.01\", expect_size=\"40485888\"] \n  15 -> 19 [size =\"40485888\"]\n  16 [size=\"17930240\", alpha=\"0.07\", expect_size=\"5379072\"] \n  16 -> 20 [size =\"5379072\"]\n  17 [size=\"139776000\", alpha=\"0.13\", expect_size=\"41932800\"] \n  17 -> 20 [size =\"41932800\"]\n  18 [size=\"167823360\", alpha=\"0.05\", expect_size=\"50347008\"] \n  18 -> 19 [size =\"50347008\"]\n  19 [size=\"21787307\", alpha=\"0.17\", expect_size=\"6536192\"] \n  20 [size=\"142257493\", alpha=\"0.15\", expect_size=\"42677248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39266304\", alpha=\"0.12\", expect_size=\"19633152\"] \n  2 [size=\"94343168\", alpha=\"0.06\", expect_size=\"47171584\"] \n  2 -> 4 [size =\"47171584\"]\n  2 -> 5 [size =\"47171584\"]\n  2 -> 6 [size =\"47171584\"]\n  3 [size=\"54812672\", alpha=\"0.10\", expect_size=\"27406336\"] \n  3 -> 4 [size =\"27406336\"]\n  3 -> 6 [size =\"27406336\"]\n  4 [size=\"87848960\", alpha=\"0.13\", expect_size=\"43924480\"] \n  4 -> 7 [size =\"43924480\"]\n  4 -> 8 [size =\"43924480\"]\n  4 -> 9 [size =\"43924480\"]\n  5 [size=\"85626880\", alpha=\"0.08\", expect_size=\"42813440\"] \n  6 [size=\"18677760\", alpha=\"0.03\", expect_size=\"9338880\"] \n  6 -> 7 [size =\"9338880\"]\n  6 -> 8 [size =\"9338880\"]\n  7 [size=\"78983168\", alpha=\"0.19\", expect_size=\"39491584\"] \n  7 -> 10 [size =\"39491584\"]\n  7 -> 12 [size =\"39491584\"]\n  8 [size=\"33228800\", alpha=\"0.00\", expect_size=\"16614400\"] \n  9 [size=\"78516224\", alpha=\"0.05\", expect_size=\"39258112\"] \n  9 -> 11 [size =\"39258112\"]\n  10 [size=\"11001856\", alpha=\"0.14\", expect_size=\"5500928\"] \n  10 -> 13 [size =\"5500928\"]\n  11 [size=\"104323072\", alpha=\"0.03\", expect_size=\"52161536\"] \n  12 [size=\"66940928\", alpha=\"0.18\", expect_size=\"33470464\"] \n  12 -> 13 [size =\"33470464\"]\n  12 -> 14 [size =\"33470464\"]\n  12 -> 15 [size =\"33470464\"]\n  13 [size=\"94994432\", alpha=\"0.19\", expect_size=\"47497216\"] \n  13 -> 16 [size =\"47497216\"]\n  13 -> 18 [size =\"47497216\"]\n  14 [size=\"48977920\", alpha=\"0.16\", expect_size=\"24488960\"] \n  14 -> 17 [size =\"24488960\"]\n  14 -> 18 [size =\"24488960\"]\n  15 [size=\"15294464\", alpha=\"0.05\", expect_size=\"7647232\"] \n  15 -> 17 [size =\"7647232\"]\n  16 [size=\"51546112\", alpha=\"0.16\", expect_size=\"25773056\"] \n  17 [size=\"64671744\", alpha=\"0.06\", expect_size=\"32335872\"] \n  17 -> 19 [size =\"32335872\"]\n  18 [size=\"61351936\", alpha=\"0.11\", expect_size=\"30675968\"] \n  18 -> 19 [size =\"30675968\"]\n  18 -> 20 [size =\"30675968\"]\n  19 [size=\"61472768\", alpha=\"0.19\", expect_size=\"30736384\"] \n  20 [size=\"85643264\", alpha=\"0.13\", expect_size=\"42821632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74516480\", alpha=\"0.03\", expect_size=\"22354944\"] \n  1 -> 19 [size =\"22354944\"]\n  1 -> 20 [size =\"22354944\"]\n  2 [size=\"78062933\", alpha=\"0.18\", expect_size=\"23418880\"] \n  3 [size=\"106543787\", alpha=\"0.18\", expect_size=\"31963136\"] \n  4 [size=\"32983040\", alpha=\"0.12\", expect_size=\"9894912\"] \n  4 -> 19 [size =\"9894912\"]\n  4 -> 20 [size =\"9894912\"]\n  5 [size=\"102925653\", alpha=\"0.04\", expect_size=\"30877696\"] \n  5 -> 20 [size =\"30877696\"]\n  6 [size=\"73086293\", alpha=\"0.03\", expect_size=\"21925888\"] \n  7 [size=\"115674453\", alpha=\"0.00\", expect_size=\"34702336\"] \n  8 [size=\"144121173\", alpha=\"0.14\", expect_size=\"43236352\"] \n  8 -> 17 [size =\"43236352\"]\n  8 -> 18 [size =\"43236352\"]\n  8 -> 19 [size =\"43236352\"]\n  9 [size=\"164911787\", alpha=\"0.09\", expect_size=\"49473536\"] \n  10 [size=\"81285120\", alpha=\"0.03\", expect_size=\"24385536\"] \n  10 -> 17 [size =\"24385536\"]\n  11 [size=\"151828480\", alpha=\"0.11\", expect_size=\"45548544\"] \n  12 [size=\"21695147\", alpha=\"0.06\", expect_size=\"6508544\"] \n  12 -> 18 [size =\"6508544\"]\n  13 [size=\"163403093\", alpha=\"0.11\", expect_size=\"49020928\"] \n  13 -> 19 [size =\"49020928\"]\n  14 [size=\"149975040\", alpha=\"0.13\", expect_size=\"44992512\"] \n  14 -> 20 [size =\"44992512\"]\n  15 [size=\"84172800\", alpha=\"0.02\", expect_size=\"25251840\"] \n  15 -> 20 [size =\"25251840\"]\n  16 [size=\"114513920\", alpha=\"0.03\", expect_size=\"34354176\"] \n  16 -> 20 [size =\"34354176\"]\n  17 [size=\"135212373\", alpha=\"0.13\", expect_size=\"40563712\"] \n  18 [size=\"136181760\", alpha=\"0.05\", expect_size=\"40854528\"] \n  19 [size=\"89070933\", alpha=\"0.12\", expect_size=\"26721280\"] \n  20 [size=\"159023787\", alpha=\"0.17\", expect_size=\"47707136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95889408\", alpha=\"0.00\", expect_size=\"47944704\"] \n  1 -> 4 [size =\"47944704\"]\n  2 [size=\"91043840\", alpha=\"0.08\", expect_size=\"45521920\"] \n  2 -> 3 [size =\"45521920\"]\n  2 -> 4 [size =\"45521920\"]\n  3 [size=\"97214464\", alpha=\"0.05\", expect_size=\"48607232\"] \n  3 -> 5 [size =\"48607232\"]\n  4 [size=\"20350976\", alpha=\"0.01\", expect_size=\"10175488\"] \n  4 -> 6 [size =\"10175488\"]\n  5 [size=\"63463424\", alpha=\"0.17\", expect_size=\"31731712\"] \n  5 -> 7 [size =\"31731712\"]\n  6 [size=\"81377280\", alpha=\"0.10\", expect_size=\"40688640\"] \n  6 -> 7 [size =\"40688640\"]\n  7 [size=\"54861824\", alpha=\"0.06\", expect_size=\"27430912\"] \n  7 -> 8 [size =\"27430912\"]\n  7 -> 9 [size =\"27430912\"]\n  8 [size=\"51644416\", alpha=\"0.17\", expect_size=\"25822208\"] \n  8 -> 10 [size =\"25822208\"]\n  9 [size=\"82255872\", alpha=\"0.16\", expect_size=\"41127936\"] \n  9 -> 10 [size =\"41127936\"]\n  10 [size=\"51515392\", alpha=\"0.15\", expect_size=\"25757696\"] \n  10 -> 11 [size =\"25757696\"]\n  10 -> 12 [size =\"25757696\"]\n  11 [size=\"91031552\", alpha=\"0.19\", expect_size=\"45515776\"] \n  11 -> 13 [size =\"45515776\"]\n  11 -> 14 [size =\"45515776\"]\n  12 [size=\"93118464\", alpha=\"0.10\", expect_size=\"46559232\"] \n  12 -> 14 [size =\"46559232\"]\n  13 [size=\"34308096\", alpha=\"0.09\", expect_size=\"17154048\"] \n  13 -> 15 [size =\"17154048\"]\n  13 -> 16 [size =\"17154048\"]\n  14 [size=\"59103232\", alpha=\"0.17\", expect_size=\"29551616\"] \n  14 -> 15 [size =\"29551616\"]\n  15 [size=\"62867456\", alpha=\"0.20\", expect_size=\"31433728\"] \n  16 [size=\"48517120\", alpha=\"0.12\", expect_size=\"24258560\"] \n  16 -> 17 [size =\"24258560\"]\n  17 [size=\"97843200\", alpha=\"0.03\", expect_size=\"48921600\"] \n  17 -> 18 [size =\"48921600\"]\n  17 -> 19 [size =\"48921600\"]\n  18 [size=\"31346688\", alpha=\"0.15\", expect_size=\"15673344\"] \n  18 -> 20 [size =\"15673344\"]\n  19 [size=\"15659008\", alpha=\"0.06\", expect_size=\"7829504\"] \n  19 -> 20 [size =\"7829504\"]\n  20 [size=\"93245440\", alpha=\"0.06\", expect_size=\"46622720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25749504\", alpha=\"0.06\", expect_size=\"12874752\"] \n  2 [size=\"68978688\", alpha=\"0.15\", expect_size=\"34489344\"] \n  2 -> 3 [size =\"34489344\"]\n  2 -> 4 [size =\"34489344\"]\n  3 [size=\"30715904\", alpha=\"0.10\", expect_size=\"15357952\"] \n  3 -> 6 [size =\"15357952\"]\n  3 -> 7 [size =\"15357952\"]\n  3 -> 8 [size =\"15357952\"]\n  4 [size=\"84195328\", alpha=\"0.18\", expect_size=\"42097664\"] \n  4 -> 5 [size =\"42097664\"]\n  4 -> 6 [size =\"42097664\"]\n  4 -> 8 [size =\"42097664\"]\n  5 [size=\"87431168\", alpha=\"0.18\", expect_size=\"43715584\"] \n  6 [size=\"31713280\", alpha=\"0.16\", expect_size=\"15856640\"] \n  6 -> 9 [size =\"15856640\"]\n  6 -> 12 [size =\"15856640\"]\n  7 [size=\"13780992\", alpha=\"0.16\", expect_size=\"6890496\"] \n  7 -> 11 [size =\"6890496\"]\n  8 [size=\"72714240\", alpha=\"0.03\", expect_size=\"36357120\"] \n  8 -> 10 [size =\"36357120\"]\n  9 [size=\"78702592\", alpha=\"0.05\", expect_size=\"39351296\"] \n  9 -> 14 [size =\"39351296\"]\n  9 -> 15 [size =\"39351296\"]\n  10 [size=\"38610944\", alpha=\"0.14\", expect_size=\"19305472\"] \n  10 -> 13 [size =\"19305472\"]\n  10 -> 15 [size =\"19305472\"]\n  11 [size=\"16973824\", alpha=\"0.15\", expect_size=\"8486912\"] \n  11 -> 13 [size =\"8486912\"]\n  11 -> 14 [size =\"8486912\"]\n  12 [size=\"44423168\", alpha=\"0.14\", expect_size=\"22211584\"] \n  12 -> 14 [size =\"22211584\"]\n  13 [size=\"20754432\", alpha=\"0.10\", expect_size=\"10377216\"] \n  13 -> 17 [size =\"10377216\"]\n  13 -> 18 [size =\"10377216\"]\n  13 -> 19 [size =\"10377216\"]\n  13 -> 20 [size =\"10377216\"]\n  14 [size=\"69189632\", alpha=\"0.19\", expect_size=\"34594816\"] \n  14 -> 16 [size =\"34594816\"]\n  15 [size=\"61147136\", alpha=\"0.14\", expect_size=\"30573568\"] \n  15 -> 16 [size =\"30573568\"]\n  15 -> 17 [size =\"30573568\"]\n  15 -> 20 [size =\"30573568\"]\n  16 [size=\"53465088\", alpha=\"0.11\", expect_size=\"26732544\"] \n  17 [size=\"34152448\", alpha=\"0.13\", expect_size=\"17076224\"] \n  18 [size=\"13686784\", alpha=\"0.10\", expect_size=\"6843392\"] \n  19 [size=\"29626368\", alpha=\"0.09\", expect_size=\"14813184\"] \n  20 [size=\"55216128\", alpha=\"0.02\", expect_size=\"27608064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56582144\", alpha=\"0.06\", expect_size=\"28291072\"] \n  1 -> 3 [size =\"28291072\"]\n  2 [size=\"98615296\", alpha=\"0.12\", expect_size=\"49307648\"] \n  3 [size=\"62595072\", alpha=\"0.04\", expect_size=\"31297536\"] \n  3 -> 4 [size =\"31297536\"]\n  4 [size=\"59975680\", alpha=\"0.11\", expect_size=\"29987840\"] \n  4 -> 5 [size =\"29987840\"]\n  5 [size=\"75327488\", alpha=\"0.10\", expect_size=\"37663744\"] \n  5 -> 6 [size =\"37663744\"]\n  6 [size=\"83927040\", alpha=\"0.07\", expect_size=\"41963520\"] \n  6 -> 7 [size =\"41963520\"]\n  6 -> 8 [size =\"41963520\"]\n  7 [size=\"29671424\", alpha=\"0.14\", expect_size=\"14835712\"] \n  8 [size=\"55588864\", alpha=\"0.01\", expect_size=\"27794432\"] \n  8 -> 9 [size =\"27794432\"]\n  9 [size=\"24315904\", alpha=\"0.07\", expect_size=\"12157952\"] \n  9 -> 10 [size =\"12157952\"]\n  9 -> 11 [size =\"12157952\"]\n  10 [size=\"68536320\", alpha=\"0.17\", expect_size=\"34268160\"] \n  10 -> 12 [size =\"34268160\"]\n  10 -> 13 [size =\"34268160\"]\n  11 [size=\"10883072\", alpha=\"0.11\", expect_size=\"5441536\"] \n  11 -> 13 [size =\"5441536\"]\n  12 [size=\"37208064\", alpha=\"0.05\", expect_size=\"18604032\"] \n  12 -> 14 [size =\"18604032\"]\n  13 [size=\"93700096\", alpha=\"0.01\", expect_size=\"46850048\"] \n  13 -> 14 [size =\"46850048\"]\n  14 [size=\"19955712\", alpha=\"0.01\", expect_size=\"9977856\"] \n  14 -> 15 [size =\"9977856\"]\n  15 [size=\"73865216\", alpha=\"0.02\", expect_size=\"36932608\"] \n  15 -> 16 [size =\"36932608\"]\n  15 -> 17 [size =\"36932608\"]\n  16 [size=\"26122240\", alpha=\"0.00\", expect_size=\"13061120\"] \n  16 -> 18 [size =\"13061120\"]\n  16 -> 19 [size =\"13061120\"]\n  17 [size=\"58484736\", alpha=\"0.03\", expect_size=\"29242368\"] \n  18 [size=\"29274112\", alpha=\"0.19\", expect_size=\"14637056\"] \n  19 [size=\"35858432\", alpha=\"0.13\", expect_size=\"17929216\"] \n  19 -> 20 [size =\"17929216\"]\n  20 [size=\"69224448\", alpha=\"0.19\", expect_size=\"34612224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140308480\", alpha=\"0.13\", expect_size=\"42092544\"] \n  1 -> 17 [size =\"42092544\"]\n  1 -> 18 [size =\"42092544\"]\n  1 -> 20 [size =\"42092544\"]\n  2 [size=\"119415467\", alpha=\"0.05\", expect_size=\"35824640\"] \n  2 -> 18 [size =\"35824640\"]\n  2 -> 19 [size =\"35824640\"]\n  3 [size=\"97000107\", alpha=\"0.10\", expect_size=\"29100032\"] \n  3 -> 17 [size =\"29100032\"]\n  3 -> 19 [size =\"29100032\"]\n  4 [size=\"157143040\", alpha=\"0.20\", expect_size=\"47142912\"] \n  4 -> 17 [size =\"47142912\"]\n  4 -> 18 [size =\"47142912\"]\n  4 -> 19 [size =\"47142912\"]\n  5 [size=\"91228160\", alpha=\"0.03\", expect_size=\"27368448\"] \n  5 -> 19 [size =\"27368448\"]\n  6 [size=\"89630720\", alpha=\"0.08\", expect_size=\"26889216\"] \n  6 -> 16 [size =\"26889216\"]\n  6 -> 17 [size =\"26889216\"]\n  6 -> 18 [size =\"26889216\"]\n  7 [size=\"47694507\", alpha=\"0.02\", expect_size=\"14308352\"] \n  7 -> 17 [size =\"14308352\"]\n  7 -> 18 [size =\"14308352\"]\n  8 [size=\"137096533\", alpha=\"0.10\", expect_size=\"41128960\"] \n  9 [size=\"111663787\", alpha=\"0.03\", expect_size=\"33499136\"] \n  9 -> 17 [size =\"33499136\"]\n  9 -> 19 [size =\"33499136\"]\n  10 [size=\"79773013\", alpha=\"0.15\", expect_size=\"23931904\"] \n  10 -> 17 [size =\"23931904\"]\n  10 -> 18 [size =\"23931904\"]\n  10 -> 19 [size =\"23931904\"]\n  10 -> 20 [size =\"23931904\"]\n  11 [size=\"40263680\", alpha=\"0.04\", expect_size=\"12079104\"] \n  11 -> 17 [size =\"12079104\"]\n  11 -> 19 [size =\"12079104\"]\n  12 [size=\"140898987\", alpha=\"0.06\", expect_size=\"42269696\"] \n  12 -> 15 [size =\"42269696\"]\n  12 -> 16 [size =\"42269696\"]\n  12 -> 18 [size =\"42269696\"]\n  12 -> 19 [size =\"42269696\"]\n  13 [size=\"23770453\", alpha=\"0.16\", expect_size=\"7131136\"] \n  13 -> 18 [size =\"7131136\"]\n  14 [size=\"99833173\", alpha=\"0.02\", expect_size=\"29949952\"] \n  14 -> 16 [size =\"29949952\"]\n  14 -> 17 [size =\"29949952\"]\n  14 -> 18 [size =\"29949952\"]\n  15 [size=\"97969493\", alpha=\"0.04\", expect_size=\"29390848\"] \n  16 [size=\"119521280\", alpha=\"0.16\", expect_size=\"35856384\"] \n  17 [size=\"27750400\", alpha=\"0.04\", expect_size=\"8325120\"] \n  18 [size=\"46264320\", alpha=\"0.13\", expect_size=\"13879296\"] \n  19 [size=\"128474453\", alpha=\"0.11\", expect_size=\"38542336\"] \n  20 [size=\"155402240\", alpha=\"0.15\", expect_size=\"46620672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22900736\", alpha=\"0.02\", expect_size=\"11450368\"] \n  1 -> 8 [size =\"11450368\"]\n  1 -> 9 [size =\"11450368\"]\n  1 -> 10 [size =\"11450368\"]\n  2 [size=\"41426944\", alpha=\"0.02\", expect_size=\"20713472\"] \n  2 -> 8 [size =\"20713472\"]\n  3 [size=\"69748736\", alpha=\"0.04\", expect_size=\"34874368\"] \n  3 -> 7 [size =\"34874368\"]\n  3 -> 11 [size =\"34874368\"]\n  4 [size=\"22046720\", alpha=\"0.09\", expect_size=\"11023360\"] \n  4 -> 7 [size =\"11023360\"]\n  4 -> 8 [size =\"11023360\"]\n  4 -> 10 [size =\"11023360\"]\n  5 [size=\"14194688\", alpha=\"0.10\", expect_size=\"7097344\"] \n  5 -> 7 [size =\"7097344\"]\n  5 -> 8 [size =\"7097344\"]\n  5 -> 9 [size =\"7097344\"]\n  5 -> 10 [size =\"7097344\"]\n  6 [size=\"102543360\", alpha=\"0.07\", expect_size=\"51271680\"] \n  6 -> 8 [size =\"51271680\"]\n  7 [size=\"15341568\", alpha=\"0.10\", expect_size=\"7670784\"] \n  7 -> 13 [size =\"7670784\"]\n  7 -> 15 [size =\"7670784\"]\n  7 -> 17 [size =\"7670784\"]\n  7 -> 18 [size =\"7670784\"]\n  7 -> 20 [size =\"7670784\"]\n  8 [size=\"49543168\", alpha=\"0.11\", expect_size=\"24771584\"] \n  8 -> 12 [size =\"24771584\"]\n  8 -> 13 [size =\"24771584\"]\n  8 -> 14 [size =\"24771584\"]\n  8 -> 19 [size =\"24771584\"]\n  8 -> 20 [size =\"24771584\"]\n  9 [size=\"41994240\", alpha=\"0.11\", expect_size=\"20997120\"] \n  9 -> 12 [size =\"20997120\"]\n  9 -> 14 [size =\"20997120\"]\n  9 -> 15 [size =\"20997120\"]\n  9 -> 17 [size =\"20997120\"]\n  9 -> 18 [size =\"20997120\"]\n  9 -> 19 [size =\"20997120\"]\n  10 [size=\"50153472\", alpha=\"0.12\", expect_size=\"25076736\"] \n  10 -> 12 [size =\"25076736\"]\n  10 -> 13 [size =\"25076736\"]\n  10 -> 14 [size =\"25076736\"]\n  10 -> 15 [size =\"25076736\"]\n  10 -> 16 [size =\"25076736\"]\n  10 -> 18 [size =\"25076736\"]\n  10 -> 19 [size =\"25076736\"]\n  11 [size=\"39823360\", alpha=\"0.03\", expect_size=\"19911680\"] \n  11 -> 13 [size =\"19911680\"]\n  11 -> 13 [size =\"19911680\"]\n  11 -> 14 [size =\"19911680\"]\n  11 -> 15 [size =\"19911680\"]\n  11 -> 17 [size =\"19911680\"]\n  12 [size=\"48775168\", alpha=\"0.20\", expect_size=\"24387584\"] \n  13 [size=\"60348416\", alpha=\"0.10\", expect_size=\"30174208\"] \n  14 [size=\"81008640\", alpha=\"0.02\", expect_size=\"40504320\"] \n  15 [size=\"30105600\", alpha=\"0.12\", expect_size=\"15052800\"] \n  16 [size=\"77041664\", alpha=\"0.17\", expect_size=\"38520832\"] \n  17 [size=\"15587328\", alpha=\"0.18\", expect_size=\"7793664\"] \n  18 [size=\"64370688\", alpha=\"0.08\", expect_size=\"32185344\"] \n  19 [size=\"20498432\", alpha=\"0.15\", expect_size=\"10249216\"] \n  20 [size=\"71802880\", alpha=\"0.08\", expect_size=\"35901440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99627520\", alpha=\"0.01\", expect_size=\"39851008\"] \n  1 -> 2 [size =\"39851008\"]\n  2 [size=\"72885760\", alpha=\"0.10\", expect_size=\"29154304\"] \n  2 -> 3 [size =\"29154304\"]\n  3 [size=\"27325440\", alpha=\"0.03\", expect_size=\"10930176\"] \n  3 -> 4 [size =\"10930176\"]\n  4 [size=\"57121280\", alpha=\"0.00\", expect_size=\"22848512\"] \n  4 -> 5 [size =\"22848512\"]\n  5 [size=\"28267520\", alpha=\"0.08\", expect_size=\"11307008\"] \n  5 -> 6 [size =\"11307008\"]\n  6 [size=\"61388800\", alpha=\"0.16\", expect_size=\"24555520\"] \n  6 -> 7 [size =\"24555520\"]\n  7 [size=\"87605760\", alpha=\"0.06\", expect_size=\"35042304\"] \n  7 -> 8 [size =\"35042304\"]\n  8 [size=\"110891520\", alpha=\"0.00\", expect_size=\"44356608\"] \n  8 -> 9 [size =\"44356608\"]\n  9 [size=\"111902720\", alpha=\"0.12\", expect_size=\"44761088\"] \n  9 -> 10 [size =\"44761088\"]\n  10 [size=\"24875520\", alpha=\"0.10\", expect_size=\"9950208\"] \n  10 -> 11 [size =\"9950208\"]\n  11 [size=\"87616000\", alpha=\"0.16\", expect_size=\"35046400\"] \n  11 -> 12 [size =\"35046400\"]\n  12 [size=\"91673600\", alpha=\"0.01\", expect_size=\"36669440\"] \n  12 -> 13 [size =\"36669440\"]\n  13 [size=\"30796800\", alpha=\"0.01\", expect_size=\"12318720\"] \n  13 -> 14 [size =\"12318720\"]\n  14 [size=\"47759360\", alpha=\"0.07\", expect_size=\"19103744\"] \n  14 -> 15 [size =\"19103744\"]\n  15 [size=\"49361920\", alpha=\"0.13\", expect_size=\"19744768\"] \n  15 -> 16 [size =\"19744768\"]\n  16 [size=\"96168960\", alpha=\"0.02\", expect_size=\"38467584\"] \n  16 -> 17 [size =\"38467584\"]\n  17 [size=\"71848960\", alpha=\"0.02\", expect_size=\"28739584\"] \n  17 -> 18 [size =\"28739584\"]\n  18 [size=\"107374080\", alpha=\"0.12\", expect_size=\"42949632\"] \n  18 -> 19 [size =\"42949632\"]\n  19 [size=\"108828160\", alpha=\"0.01\", expect_size=\"43531264\"] \n  19 -> 20 [size =\"43531264\"]\n  20 [size=\"59240960\", alpha=\"0.20\", expect_size=\"23696384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104108032\", alpha=\"0.08\", expect_size=\"52054016\"] \n  1 -> 18 [size =\"52054016\"]\n  1 -> 20 [size =\"52054016\"]\n  2 [size=\"13518848\", alpha=\"0.09\", expect_size=\"6759424\"] \n  2 -> 15 [size =\"6759424\"]\n  2 -> 18 [size =\"6759424\"]\n  3 [size=\"79245312\", alpha=\"0.00\", expect_size=\"39622656\"] \n  3 -> 15 [size =\"39622656\"]\n  3 -> 17 [size =\"39622656\"]\n  3 -> 18 [size =\"39622656\"]\n  4 [size=\"61163520\", alpha=\"0.14\", expect_size=\"30581760\"] \n  4 -> 16 [size =\"30581760\"]\n  4 -> 17 [size =\"30581760\"]\n  4 -> 18 [size =\"30581760\"]\n  5 [size=\"98936832\", alpha=\"0.17\", expect_size=\"49468416\"] \n  5 -> 16 [size =\"49468416\"]\n  5 -> 17 [size =\"49468416\"]\n  6 [size=\"59406336\", alpha=\"0.01\", expect_size=\"29703168\"] \n  6 -> 19 [size =\"29703168\"]\n  7 [size=\"56248320\", alpha=\"0.19\", expect_size=\"28124160\"] \n  7 -> 16 [size =\"28124160\"]\n  7 -> 19 [size =\"28124160\"]\n  7 -> 20 [size =\"28124160\"]\n  8 [size=\"34011136\", alpha=\"0.19\", expect_size=\"17005568\"] \n  8 -> 14 [size =\"17005568\"]\n  8 -> 15 [size =\"17005568\"]\n  8 -> 19 [size =\"17005568\"]\n  9 [size=\"99508224\", alpha=\"0.01\", expect_size=\"49754112\"] \n  9 -> 18 [size =\"49754112\"]\n  9 -> 19 [size =\"49754112\"]\n  9 -> 20 [size =\"49754112\"]\n  10 [size=\"72601600\", alpha=\"0.11\", expect_size=\"36300800\"] \n  10 -> 17 [size =\"36300800\"]\n  10 -> 18 [size =\"36300800\"]\n  10 -> 19 [size =\"36300800\"]\n  10 -> 20 [size =\"36300800\"]\n  11 [size=\"16234496\", alpha=\"0.16\", expect_size=\"8117248\"] \n  11 -> 14 [size =\"8117248\"]\n  11 -> 17 [size =\"8117248\"]\n  11 -> 19 [size =\"8117248\"]\n  12 [size=\"51892224\", alpha=\"0.17\", expect_size=\"25946112\"] \n  12 -> 14 [size =\"25946112\"]\n  12 -> 15 [size =\"25946112\"]\n  12 -> 18 [size =\"25946112\"]\n  12 -> 19 [size =\"25946112\"]\n  13 [size=\"93190144\", alpha=\"0.03\", expect_size=\"46595072\"] \n  13 -> 14 [size =\"46595072\"]\n  13 -> 16 [size =\"46595072\"]\n  13 -> 17 [size =\"46595072\"]\n  13 -> 18 [size =\"46595072\"]\n  14 [size=\"95461376\", alpha=\"0.11\", expect_size=\"47730688\"] \n  15 [size=\"66983936\", alpha=\"0.10\", expect_size=\"33491968\"] \n  16 [size=\"54427648\", alpha=\"0.17\", expect_size=\"27213824\"] \n  17 [size=\"60837888\", alpha=\"0.10\", expect_size=\"30418944\"] \n  18 [size=\"54571008\", alpha=\"0.08\", expect_size=\"27285504\"] \n  19 [size=\"49395712\", alpha=\"0.12\", expect_size=\"24697856\"] \n  20 [size=\"53850112\", alpha=\"0.14\", expect_size=\"26925056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139356160\", alpha=\"0.07\", expect_size=\"41806848\"] \n  1 -> 4 [size =\"41806848\"]\n  1 -> 5 [size =\"41806848\"]\n  1 -> 6 [size =\"41806848\"]\n  2 [size=\"91429547\", alpha=\"0.07\", expect_size=\"27428864\"] \n  3 [size=\"132608000\", alpha=\"0.19\", expect_size=\"39782400\"] \n  3 -> 5 [size =\"39782400\"]\n  3 -> 7 [size =\"39782400\"]\n  4 [size=\"156354560\", alpha=\"0.11\", expect_size=\"46906368\"] \n  4 -> 8 [size =\"46906368\"]\n  4 -> 9 [size =\"46906368\"]\n  4 -> 10 [size =\"46906368\"]\n  5 [size=\"136178347\", alpha=\"0.13\", expect_size=\"40853504\"] \n  5 -> 9 [size =\"40853504\"]\n  5 -> 10 [size =\"40853504\"]\n  6 [size=\"139554133\", alpha=\"0.00\", expect_size=\"41866240\"] \n  6 -> 9 [size =\"41866240\"]\n  6 -> 10 [size =\"41866240\"]\n  7 [size=\"149865813\", alpha=\"0.18\", expect_size=\"44959744\"] \n  7 -> 8 [size =\"44959744\"]\n  8 [size=\"116142080\", alpha=\"0.16\", expect_size=\"34842624\"] \n  8 -> 12 [size =\"34842624\"]\n  8 -> 13 [size =\"34842624\"]\n  9 [size=\"80100693\", alpha=\"0.11\", expect_size=\"24030208\"] \n  9 -> 11 [size =\"24030208\"]\n  9 -> 14 [size =\"24030208\"]\n  10 [size=\"96426667\", alpha=\"0.06\", expect_size=\"28928000\"] \n  10 -> 12 [size =\"28928000\"]\n  11 [size=\"172137813\", alpha=\"0.17\", expect_size=\"51641344\"] \n  11 -> 16 [size =\"51641344\"]\n  11 -> 17 [size =\"51641344\"]\n  11 -> 18 [size =\"51641344\"]\n  12 [size=\"69659307\", alpha=\"0.08\", expect_size=\"20897792\"] \n  12 -> 15 [size =\"20897792\"]\n  12 -> 17 [size =\"20897792\"]\n  13 [size=\"128047787\", alpha=\"0.04\", expect_size=\"38414336\"] \n  13 -> 16 [size =\"38414336\"]\n  14 [size=\"117459627\", alpha=\"0.09\", expect_size=\"35237888\"] \n  14 -> 16 [size =\"35237888\"]\n  14 -> 17 [size =\"35237888\"]\n  14 -> 18 [size =\"35237888\"]\n  15 [size=\"48442027\", alpha=\"0.17\", expect_size=\"14532608\"] \n  15 -> 20 [size =\"14532608\"]\n  16 [size=\"150111573\", alpha=\"0.04\", expect_size=\"45033472\"] \n  16 -> 19 [size =\"45033472\"]\n  17 [size=\"151862613\", alpha=\"0.12\", expect_size=\"45558784\"] \n  17 -> 19 [size =\"45558784\"]\n  18 [size=\"133905067\", alpha=\"0.18\", expect_size=\"40171520\"] \n  18 -> 19 [size =\"40171520\"]\n  18 -> 20 [size =\"40171520\"]\n  19 [size=\"104465067\", alpha=\"0.07\", expect_size=\"31339520\"] \n  20 [size=\"33119573\", alpha=\"0.15\", expect_size=\"9935872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127877120\", alpha=\"0.02\", expect_size=\"38363136\"] \n  1 -> 18 [size =\"38363136\"]\n  1 -> 19 [size =\"38363136\"]\n  2 [size=\"82688000\", alpha=\"0.12\", expect_size=\"24806400\"] \n  2 -> 18 [size =\"24806400\"]\n  2 -> 20 [size =\"24806400\"]\n  3 [size=\"166840320\", alpha=\"0.01\", expect_size=\"50052096\"] \n  3 -> 18 [size =\"50052096\"]\n  3 -> 19 [size =\"50052096\"]\n  4 [size=\"46342827\", alpha=\"0.08\", expect_size=\"13902848\"] \n  5 [size=\"159423147\", alpha=\"0.12\", expect_size=\"47826944\"] \n  6 [size=\"29129387\", alpha=\"0.14\", expect_size=\"8738816\"] \n  6 -> 19 [size =\"8738816\"]\n  6 -> 20 [size =\"8738816\"]\n  7 [size=\"60385280\", alpha=\"0.15\", expect_size=\"18115584\"] \n  8 [size=\"132604587\", alpha=\"0.17\", expect_size=\"39781376\"] \n  9 [size=\"140199253\", alpha=\"0.18\", expect_size=\"42059776\"] \n  10 [size=\"160771413\", alpha=\"0.17\", expect_size=\"48231424\"] \n  11 [size=\"90695680\", alpha=\"0.08\", expect_size=\"27208704\"] \n  11 -> 19 [size =\"27208704\"]\n  12 [size=\"108516693\", alpha=\"0.18\", expect_size=\"32555008\"] \n  12 -> 18 [size =\"32555008\"]\n  13 [size=\"48261120\", alpha=\"0.10\", expect_size=\"14478336\"] \n  13 -> 18 [size =\"14478336\"]\n  13 -> 19 [size =\"14478336\"]\n  14 [size=\"57842347\", alpha=\"0.11\", expect_size=\"17352704\"] \n  14 -> 18 [size =\"17352704\"]\n  15 [size=\"121402027\", alpha=\"0.06\", expect_size=\"36420608\"] \n  15 -> 18 [size =\"36420608\"]\n  16 [size=\"57207467\", alpha=\"0.09\", expect_size=\"17162240\"] \n  16 -> 18 [size =\"17162240\"]\n  16 -> 20 [size =\"17162240\"]\n  17 [size=\"169424213\", alpha=\"0.06\", expect_size=\"50827264\"] \n  17 -> 18 [size =\"50827264\"]\n  17 -> 19 [size =\"50827264\"]\n  18 [size=\"128948907\", alpha=\"0.12\", expect_size=\"38684672\"] \n  19 [size=\"106874880\", alpha=\"0.01\", expect_size=\"32062464\"] \n  20 [size=\"93347840\", alpha=\"0.13\", expect_size=\"28004352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39073792\", alpha=\"0.20\", expect_size=\"19536896\"] \n  1 -> 14 [size =\"19536896\"]\n  1 -> 15 [size =\"19536896\"]\n  1 -> 16 [size =\"19536896\"]\n  1 -> 18 [size =\"19536896\"]\n  1 -> 19 [size =\"19536896\"]\n  2 [size=\"90802176\", alpha=\"0.14\", expect_size=\"45401088\"] \n  2 -> 13 [size =\"45401088\"]\n  2 -> 14 [size =\"45401088\"]\n  2 -> 15 [size =\"45401088\"]\n  2 -> 17 [size =\"45401088\"]\n  2 -> 18 [size =\"45401088\"]\n  3 [size=\"62797824\", alpha=\"0.01\", expect_size=\"31398912\"] \n  3 -> 10 [size =\"31398912\"]\n  3 -> 12 [size =\"31398912\"]\n  3 -> 14 [size =\"31398912\"]\n  3 -> 17 [size =\"31398912\"]\n  3 -> 19 [size =\"31398912\"]\n  3 -> 20 [size =\"31398912\"]\n  4 [size=\"57645056\", alpha=\"0.10\", expect_size=\"28822528\"] \n  4 -> 10 [size =\"28822528\"]\n  4 -> 13 [size =\"28822528\"]\n  4 -> 14 [size =\"28822528\"]\n  4 -> 18 [size =\"28822528\"]\n  4 -> 20 [size =\"28822528\"]\n  5 [size=\"93204480\", alpha=\"0.19\", expect_size=\"46602240\"] \n  5 -> 10 [size =\"46602240\"]\n  5 -> 13 [size =\"46602240\"]\n  5 -> 15 [size =\"46602240\"]\n  5 -> 17 [size =\"46602240\"]\n  6 [size=\"66316288\", alpha=\"0.11\", expect_size=\"33158144\"] \n  6 -> 19 [size =\"33158144\"]\n  7 [size=\"48640000\", alpha=\"0.13\", expect_size=\"24320000\"] \n  7 -> 17 [size =\"24320000\"]\n  7 -> 18 [size =\"24320000\"]\n  8 [size=\"53745664\", alpha=\"0.16\", expect_size=\"26872832\"] \n  8 -> 10 [size =\"26872832\"]\n  8 -> 12 [size =\"26872832\"]\n  8 -> 15 [size =\"26872832\"]\n  9 [size=\"74745856\", alpha=\"0.02\", expect_size=\"37372928\"] \n  9 -> 10 [size =\"37372928\"]\n  9 -> 11 [size =\"37372928\"]\n  9 -> 20 [size =\"37372928\"]\n  10 [size=\"12021760\", alpha=\"0.05\", expect_size=\"6010880\"] \n  11 [size=\"94732288\", alpha=\"0.08\", expect_size=\"47366144\"] \n  12 [size=\"92510208\", alpha=\"0.02\", expect_size=\"46255104\"] \n  13 [size=\"64313344\", alpha=\"0.08\", expect_size=\"32156672\"] \n  14 [size=\"71221248\", alpha=\"0.05\", expect_size=\"35610624\"] \n  15 [size=\"24025088\", alpha=\"0.09\", expect_size=\"12012544\"] \n  16 [size=\"18937856\", alpha=\"0.09\", expect_size=\"9468928\"] \n  17 [size=\"68640768\", alpha=\"0.18\", expect_size=\"34320384\"] \n  18 [size=\"34301952\", alpha=\"0.12\", expect_size=\"17150976\"] \n  19 [size=\"15816704\", alpha=\"0.09\", expect_size=\"7908352\"] \n  20 [size=\"23603200\", alpha=\"0.06\", expect_size=\"11801600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22462464\", alpha=\"0.07\", expect_size=\"11231232\"] \n  2 [size=\"69507072\", alpha=\"0.13\", expect_size=\"34753536\"] \n  2 -> 3 [size =\"34753536\"]\n  3 [size=\"95041536\", alpha=\"0.11\", expect_size=\"47520768\"] \n  3 -> 4 [size =\"47520768\"]\n  3 -> 5 [size =\"47520768\"]\n  4 [size=\"65245184\", alpha=\"0.14\", expect_size=\"32622592\"] \n  4 -> 7 [size =\"32622592\"]\n  5 [size=\"28794880\", alpha=\"0.12\", expect_size=\"14397440\"] \n  5 -> 6 [size =\"14397440\"]\n  5 -> 7 [size =\"14397440\"]\n  6 [size=\"35985408\", alpha=\"0.03\", expect_size=\"17992704\"] \n  6 -> 9 [size =\"17992704\"]\n  7 [size=\"63176704\", alpha=\"0.07\", expect_size=\"31588352\"] \n  7 -> 8 [size =\"31588352\"]\n  7 -> 9 [size =\"31588352\"]\n  8 [size=\"54917120\", alpha=\"0.04\", expect_size=\"27458560\"] \n  8 -> 10 [size =\"27458560\"]\n  9 [size=\"83009536\", alpha=\"0.10\", expect_size=\"41504768\"] \n  9 -> 10 [size =\"41504768\"]\n  10 [size=\"51972096\", alpha=\"0.02\", expect_size=\"25986048\"] \n  10 -> 11 [size =\"25986048\"]\n  11 [size=\"35960832\", alpha=\"0.04\", expect_size=\"17980416\"] \n  11 -> 12 [size =\"17980416\"]\n  12 [size=\"70658048\", alpha=\"0.11\", expect_size=\"35329024\"] \n  12 -> 13 [size =\"35329024\"]\n  12 -> 14 [size =\"35329024\"]\n  13 [size=\"35678208\", alpha=\"0.18\", expect_size=\"17839104\"] \n  13 -> 15 [size =\"17839104\"]\n  14 [size=\"88496128\", alpha=\"0.19\", expect_size=\"44248064\"] \n  14 -> 16 [size =\"44248064\"]\n  15 [size=\"61403136\", alpha=\"0.14\", expect_size=\"30701568\"] \n  15 -> 17 [size =\"30701568\"]\n  15 -> 18 [size =\"30701568\"]\n  16 [size=\"25028608\", alpha=\"0.20\", expect_size=\"12514304\"] \n  16 -> 17 [size =\"12514304\"]\n  17 [size=\"40146944\", alpha=\"0.03\", expect_size=\"20073472\"] \n  17 -> 19 [size =\"20073472\"]\n  18 [size=\"74608640\", alpha=\"0.02\", expect_size=\"37304320\"] \n  18 -> 19 [size =\"37304320\"]\n  18 -> 20 [size =\"37304320\"]\n  19 [size=\"94660608\", alpha=\"0.10\", expect_size=\"47330304\"] \n  20 [size=\"48130048\", alpha=\"0.17\", expect_size=\"24065024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68666880\", alpha=\"0.05\", expect_size=\"27466752\"] \n  1 -> 16 [size =\"27466752\"]\n  2 [size=\"90703360\", alpha=\"0.06\", expect_size=\"36281344\"] \n  2 -> 9 [size =\"36281344\"]\n  3 [size=\"29760000\", alpha=\"0.13\", expect_size=\"11904000\"] \n  3 -> 10 [size =\"11904000\"]\n  3 -> 13 [size =\"11904000\"]\n  3 -> 15 [size =\"11904000\"]\n  3 -> 16 [size =\"11904000\"]\n  4 [size=\"64389120\", alpha=\"0.17\", expect_size=\"25755648\"] \n  4 -> 10 [size =\"25755648\"]\n  5 [size=\"19089920\", alpha=\"0.03\", expect_size=\"7635968\"] \n  5 -> 10 [size =\"7635968\"]\n  5 -> 13 [size =\"7635968\"]\n  5 -> 15 [size =\"7635968\"]\n  6 [size=\"47260160\", alpha=\"0.04\", expect_size=\"18904064\"] \n  6 -> 10 [size =\"18904064\"]\n  6 -> 14 [size =\"18904064\"]\n  6 -> 15 [size =\"18904064\"]\n  7 [size=\"36354560\", alpha=\"0.09\", expect_size=\"14541824\"] \n  7 -> 11 [size =\"14541824\"]\n  7 -> 14 [size =\"14541824\"]\n  8 [size=\"32340480\", alpha=\"0.01\", expect_size=\"12936192\"] \n  8 -> 9 [size =\"12936192\"]\n  8 -> 12 [size =\"12936192\"]\n  8 -> 15 [size =\"12936192\"]\n  9 [size=\"33492480\", alpha=\"0.06\", expect_size=\"13396992\"] \n  9 -> 17 [size =\"13396992\"]\n  9 -> 18 [size =\"13396992\"]\n  10 [size=\"48980480\", alpha=\"0.17\", expect_size=\"19592192\"] \n  10 -> 20 [size =\"19592192\"]\n  11 [size=\"51368960\", alpha=\"0.11\", expect_size=\"20547584\"] \n  11 -> 18 [size =\"20547584\"]\n  12 [size=\"79961600\", alpha=\"0.09\", expect_size=\"31984640\"] \n  12 -> 18 [size =\"31984640\"]\n  12 -> 19 [size =\"31984640\"]\n  13 [size=\"113684480\", alpha=\"0.01\", expect_size=\"45473792\"] \n  13 -> 18 [size =\"45473792\"]\n  14 [size=\"73431040\", alpha=\"0.06\", expect_size=\"29372416\"] \n  14 -> 19 [size =\"29372416\"]\n  15 [size=\"56519680\", alpha=\"0.20\", expect_size=\"22607872\"] \n  16 [size=\"75980800\", alpha=\"0.13\", expect_size=\"30392320\"] \n  16 -> 18 [size =\"30392320\"]\n  17 [size=\"101125120\", alpha=\"0.13\", expect_size=\"40450048\"] \n  18 [size=\"38126080\", alpha=\"0.18\", expect_size=\"15250432\"] \n  19 [size=\"43714560\", alpha=\"0.07\", expect_size=\"17485824\"] \n  20 [size=\"79592960\", alpha=\"0.09\", expect_size=\"31837184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84943360\", alpha=\"0.14\", expect_size=\"33977344\"] \n  1 -> 11 [size =\"33977344\"]\n  1 -> 13 [size =\"33977344\"]\n  2 [size=\"116595200\", alpha=\"0.08\", expect_size=\"46638080\"] \n  2 -> 12 [size =\"46638080\"]\n  3 [size=\"108377600\", alpha=\"0.10\", expect_size=\"43351040\"] \n  3 -> 16 [size =\"43351040\"]\n  4 [size=\"40716800\", alpha=\"0.17\", expect_size=\"16286720\"] \n  5 [size=\"127091200\", alpha=\"0.04\", expect_size=\"50836480\"] \n  5 -> 13 [size =\"50836480\"]\n  6 [size=\"33374720\", alpha=\"0.17\", expect_size=\"13349888\"] \n  7 [size=\"107581440\", alpha=\"0.14\", expect_size=\"43032576\"] \n  7 -> 12 [size =\"43032576\"]\n  7 -> 14 [size =\"43032576\"]\n  7 -> 15 [size =\"43032576\"]\n  8 [size=\"26905600\", alpha=\"0.19\", expect_size=\"10762240\"] \n  8 -> 12 [size =\"10762240\"]\n  8 -> 13 [size =\"10762240\"]\n  8 -> 15 [size =\"10762240\"]\n  8 -> 16 [size =\"10762240\"]\n  9 [size=\"19921920\", alpha=\"0.08\", expect_size=\"7968768\"] \n  9 -> 11 [size =\"7968768\"]\n  9 -> 13 [size =\"7968768\"]\n  9 -> 15 [size =\"7968768\"]\n  10 [size=\"16550400\", alpha=\"0.16\", expect_size=\"6620160\"] \n  10 -> 13 [size =\"6620160\"]\n  10 -> 13 [size =\"6620160\"]\n  10 -> 15 [size =\"6620160\"]\n  11 [size=\"90201600\", alpha=\"0.17\", expect_size=\"36080640\"] \n  11 -> 18 [size =\"36080640\"]\n  11 -> 20 [size =\"36080640\"]\n  12 [size=\"52759040\", alpha=\"0.07\", expect_size=\"21103616\"] \n  12 -> 17 [size =\"21103616\"]\n  12 -> 18 [size =\"21103616\"]\n  12 -> 19 [size =\"21103616\"]\n  13 [size=\"99366400\", alpha=\"0.20\", expect_size=\"39746560\"] \n  13 -> 18 [size =\"39746560\"]\n  13 -> 18 [size =\"39746560\"]\n  13 -> 20 [size =\"39746560\"]\n  14 [size=\"38072320\", alpha=\"0.06\", expect_size=\"15228928\"] \n  14 -> 19 [size =\"15228928\"]\n  15 [size=\"18862080\", alpha=\"0.07\", expect_size=\"7544832\"] \n  15 -> 17 [size =\"7544832\"]\n  16 [size=\"41295360\", alpha=\"0.17\", expect_size=\"16518144\"] \n  16 -> 17 [size =\"16518144\"]\n  16 -> 18 [size =\"16518144\"]\n  16 -> 20 [size =\"16518144\"]\n  17 [size=\"24035840\", alpha=\"0.04\", expect_size=\"9614336\"] \n  18 [size=\"106959360\", alpha=\"0.18\", expect_size=\"42783744\"] \n  19 [size=\"102282240\", alpha=\"0.01\", expect_size=\"40912896\"] \n  20 [size=\"34288640\", alpha=\"0.00\", expect_size=\"13715456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71997440\", alpha=\"0.05\", expect_size=\"28798976\"] \n  1 -> 2 [size =\"28798976\"]\n  2 [size=\"124707840\", alpha=\"0.03\", expect_size=\"49883136\"] \n  2 -> 3 [size =\"49883136\"]\n  3 [size=\"58024960\", alpha=\"0.07\", expect_size=\"23209984\"] \n  3 -> 4 [size =\"23209984\"]\n  4 [size=\"19264000\", alpha=\"0.07\", expect_size=\"7705600\"] \n  4 -> 5 [size =\"7705600\"]\n  5 [size=\"41088000\", alpha=\"0.12\", expect_size=\"16435200\"] \n  5 -> 6 [size =\"16435200\"]\n  6 [size=\"94551040\", alpha=\"0.04\", expect_size=\"37820416\"] \n  6 -> 7 [size =\"37820416\"]\n  7 [size=\"102420480\", alpha=\"0.14\", expect_size=\"40968192\"] \n  7 -> 8 [size =\"40968192\"]\n  8 [size=\"61729280\", alpha=\"0.04\", expect_size=\"24691712\"] \n  8 -> 9 [size =\"24691712\"]\n  9 [size=\"111421440\", alpha=\"0.12\", expect_size=\"44568576\"] \n  9 -> 10 [size =\"44568576\"]\n  10 [size=\"41523200\", alpha=\"0.03\", expect_size=\"16609280\"] \n  10 -> 11 [size =\"16609280\"]\n  11 [size=\"21657600\", alpha=\"0.11\", expect_size=\"8663040\"] \n  11 -> 12 [size =\"8663040\"]\n  12 [size=\"53606400\", alpha=\"0.03\", expect_size=\"21442560\"] \n  12 -> 13 [size =\"21442560\"]\n  13 [size=\"71685120\", alpha=\"0.02\", expect_size=\"28674048\"] \n  13 -> 14 [size =\"28674048\"]\n  14 [size=\"111836160\", alpha=\"0.17\", expect_size=\"44734464\"] \n  14 -> 15 [size =\"44734464\"]\n  15 [size=\"35886080\", alpha=\"0.17\", expect_size=\"14354432\"] \n  15 -> 16 [size =\"14354432\"]\n  16 [size=\"107292160\", alpha=\"0.09\", expect_size=\"42916864\"] \n  16 -> 17 [size =\"42916864\"]\n  17 [size=\"13468160\", alpha=\"0.12\", expect_size=\"5387264\"] \n  17 -> 18 [size =\"5387264\"]\n  18 [size=\"93875200\", alpha=\"0.11\", expect_size=\"37550080\"] \n  18 -> 19 [size =\"37550080\"]\n  19 [size=\"119639040\", alpha=\"0.16\", expect_size=\"47855616\"] \n  19 -> 20 [size =\"47855616\"]\n  20 [size=\"72944640\", alpha=\"0.05\", expect_size=\"29177856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39620608\", alpha=\"0.15\", expect_size=\"19810304\"] \n  1 -> 2 [size =\"19810304\"]\n  1 -> 3 [size =\"19810304\"]\n  2 [size=\"100077568\", alpha=\"0.13\", expect_size=\"50038784\"] \n  2 -> 4 [size =\"50038784\"]\n  3 [size=\"12681216\", alpha=\"0.14\", expect_size=\"6340608\"] \n  3 -> 5 [size =\"6340608\"]\n  4 [size=\"61607936\", alpha=\"0.16\", expect_size=\"30803968\"] \n  4 -> 6 [size =\"30803968\"]\n  5 [size=\"90425344\", alpha=\"0.14\", expect_size=\"45212672\"] \n  6 [size=\"57821184\", alpha=\"0.04\", expect_size=\"28910592\"] \n  6 -> 7 [size =\"28910592\"]\n  6 -> 8 [size =\"28910592\"]\n  7 [size=\"42346496\", alpha=\"0.00\", expect_size=\"21173248\"] \n  8 [size=\"48678912\", alpha=\"0.14\", expect_size=\"24339456\"] \n  8 -> 9 [size =\"24339456\"]\n  9 [size=\"59865088\", alpha=\"0.07\", expect_size=\"29932544\"] \n  9 -> 10 [size =\"29932544\"]\n  10 [size=\"72112128\", alpha=\"0.08\", expect_size=\"36056064\"] \n  10 -> 11 [size =\"36056064\"]\n  10 -> 12 [size =\"36056064\"]\n  11 [size=\"100964352\", alpha=\"0.03\", expect_size=\"50482176\"] \n  12 [size=\"77361152\", alpha=\"0.06\", expect_size=\"38680576\"] \n  12 -> 13 [size =\"38680576\"]\n  13 [size=\"43991040\", alpha=\"0.10\", expect_size=\"21995520\"] \n  13 -> 14 [size =\"21995520\"]\n  14 [size=\"14872576\", alpha=\"0.03\", expect_size=\"7436288\"] \n  14 -> 15 [size =\"7436288\"]\n  14 -> 16 [size =\"7436288\"]\n  15 [size=\"90783744\", alpha=\"0.13\", expect_size=\"45391872\"] \n  16 [size=\"61069312\", alpha=\"0.09\", expect_size=\"30534656\"] \n  16 -> 17 [size =\"30534656\"]\n  17 [size=\"79734784\", alpha=\"0.12\", expect_size=\"39867392\"] \n  17 -> 18 [size =\"39867392\"]\n  18 [size=\"81717248\", alpha=\"0.02\", expect_size=\"40858624\"] \n  18 -> 19 [size =\"40858624\"]\n  19 [size=\"51535872\", alpha=\"0.14\", expect_size=\"25767936\"] \n  19 -> 20 [size =\"25767936\"]\n  20 [size=\"85250048\", alpha=\"0.14\", expect_size=\"42625024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45519360\", alpha=\"0.16\", expect_size=\"18207744\"] \n  1 -> 2 [size =\"18207744\"]\n  2 [size=\"76326400\", alpha=\"0.13\", expect_size=\"30530560\"] \n  2 -> 3 [size =\"30530560\"]\n  2 -> 4 [size =\"30530560\"]\n  3 [size=\"114027520\", alpha=\"0.06\", expect_size=\"45611008\"] \n  3 -> 6 [size =\"45611008\"]\n  4 [size=\"106923520\", alpha=\"0.01\", expect_size=\"42769408\"] \n  4 -> 5 [size =\"42769408\"]\n  5 [size=\"62919680\", alpha=\"0.06\", expect_size=\"25167872\"] \n  5 -> 7 [size =\"25167872\"]\n  6 [size=\"26414080\", alpha=\"0.12\", expect_size=\"10565632\"] \n  6 -> 8 [size =\"10565632\"]\n  7 [size=\"55767040\", alpha=\"0.09\", expect_size=\"22306816\"] \n  7 -> 9 [size =\"22306816\"]\n  7 -> 10 [size =\"22306816\"]\n  8 [size=\"129077760\", alpha=\"0.07\", expect_size=\"51631104\"] \n  9 [size=\"15767040\", alpha=\"0.15\", expect_size=\"6306816\"] \n  10 [size=\"39293440\", alpha=\"0.16\", expect_size=\"15717376\"] \n  10 -> 11 [size =\"15717376\"]\n  10 -> 12 [size =\"15717376\"]\n  11 [size=\"119091200\", alpha=\"0.19\", expect_size=\"47636480\"] \n  11 -> 13 [size =\"47636480\"]\n  12 [size=\"96791040\", alpha=\"0.09\", expect_size=\"38716416\"] \n  13 [size=\"53752320\", alpha=\"0.08\", expect_size=\"21500928\"] \n  13 -> 14 [size =\"21500928\"]\n  13 -> 15 [size =\"21500928\"]\n  14 [size=\"86543360\", alpha=\"0.02\", expect_size=\"34617344\"] \n  15 [size=\"91397120\", alpha=\"0.00\", expect_size=\"36558848\"] \n  15 -> 16 [size =\"36558848\"]\n  16 [size=\"125875200\", alpha=\"0.07\", expect_size=\"50350080\"] \n  16 -> 17 [size =\"50350080\"]\n  17 [size=\"78364160\", alpha=\"0.08\", expect_size=\"31345664\"] \n  17 -> 18 [size =\"31345664\"]\n  18 [size=\"130693120\", alpha=\"0.04\", expect_size=\"52277248\"] \n  18 -> 19 [size =\"52277248\"]\n  19 [size=\"53306880\", alpha=\"0.11\", expect_size=\"21322752\"] \n  19 -> 20 [size =\"21322752\"]\n  20 [size=\"22576640\", alpha=\"0.20\", expect_size=\"9030656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93032448\", alpha=\"0.09\", expect_size=\"46516224\"] \n  1 -> 2 [size =\"46516224\"]\n  2 [size=\"80787456\", alpha=\"0.09\", expect_size=\"40393728\"] \n  2 -> 3 [size =\"40393728\"]\n  3 [size=\"13826048\", alpha=\"0.17\", expect_size=\"6913024\"] \n  3 -> 4 [size =\"6913024\"]\n  4 [size=\"57243648\", alpha=\"0.18\", expect_size=\"28621824\"] \n  4 -> 5 [size =\"28621824\"]\n  5 [size=\"64872448\", alpha=\"0.19\", expect_size=\"32436224\"] \n  5 -> 6 [size =\"32436224\"]\n  6 [size=\"31664128\", alpha=\"0.11\", expect_size=\"15832064\"] \n  6 -> 7 [size =\"15832064\"]\n  7 [size=\"61063168\", alpha=\"0.15\", expect_size=\"30531584\"] \n  7 -> 8 [size =\"30531584\"]\n  8 [size=\"81412096\", alpha=\"0.05\", expect_size=\"40706048\"] \n  8 -> 9 [size =\"40706048\"]\n  9 [size=\"44740608\", alpha=\"0.15\", expect_size=\"22370304\"] \n  9 -> 10 [size =\"22370304\"]\n  10 [size=\"56522752\", alpha=\"0.11\", expect_size=\"28261376\"] \n  10 -> 11 [size =\"28261376\"]\n  11 [size=\"90028032\", alpha=\"0.19\", expect_size=\"45014016\"] \n  11 -> 12 [size =\"45014016\"]\n  12 [size=\"37148672\", alpha=\"0.13\", expect_size=\"18574336\"] \n  12 -> 13 [size =\"18574336\"]\n  13 [size=\"78895104\", alpha=\"0.11\", expect_size=\"39447552\"] \n  13 -> 14 [size =\"39447552\"]\n  14 [size=\"62738432\", alpha=\"0.11\", expect_size=\"31369216\"] \n  14 -> 15 [size =\"31369216\"]\n  15 [size=\"54765568\", alpha=\"0.14\", expect_size=\"27382784\"] \n  15 -> 16 [size =\"27382784\"]\n  16 [size=\"49008640\", alpha=\"0.19\", expect_size=\"24504320\"] \n  16 -> 17 [size =\"24504320\"]\n  17 [size=\"101681152\", alpha=\"0.07\", expect_size=\"50840576\"] \n  17 -> 18 [size =\"50840576\"]\n  18 [size=\"76650496\", alpha=\"0.10\", expect_size=\"38325248\"] \n  18 -> 19 [size =\"38325248\"]\n  19 [size=\"100091904\", alpha=\"0.13\", expect_size=\"50045952\"] \n  19 -> 20 [size =\"50045952\"]\n  20 [size=\"75048960\", alpha=\"0.16\", expect_size=\"37524480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71929173\", alpha=\"0.15\", expect_size=\"21578752\"] \n  1 -> 3 [size =\"21578752\"]\n  2 [size=\"33716907\", alpha=\"0.11\", expect_size=\"10115072\"] \n  2 -> 3 [size =\"10115072\"]\n  3 [size=\"160802133\", alpha=\"0.00\", expect_size=\"48240640\"] \n  3 -> 4 [size =\"48240640\"]\n  3 -> 5 [size =\"48240640\"]\n  4 [size=\"102324907\", alpha=\"0.11\", expect_size=\"30697472\"] \n  4 -> 6 [size =\"30697472\"]\n  5 [size=\"46376960\", alpha=\"0.17\", expect_size=\"13913088\"] \n  6 [size=\"67392853\", alpha=\"0.05\", expect_size=\"20217856\"] \n  6 -> 7 [size =\"20217856\"]\n  6 -> 8 [size =\"20217856\"]\n  7 [size=\"28934827\", alpha=\"0.06\", expect_size=\"8680448\"] \n  7 -> 9 [size =\"8680448\"]\n  7 -> 10 [size =\"8680448\"]\n  8 [size=\"162170880\", alpha=\"0.06\", expect_size=\"48651264\"] \n  8 -> 9 [size =\"48651264\"]\n  9 [size=\"110045867\", alpha=\"0.19\", expect_size=\"33013760\"] \n  9 -> 11 [size =\"33013760\"]\n  10 [size=\"132515840\", alpha=\"0.13\", expect_size=\"39754752\"] \n  10 -> 11 [size =\"39754752\"]\n  11 [size=\"122364587\", alpha=\"0.19\", expect_size=\"36709376\"] \n  11 -> 12 [size =\"36709376\"]\n  11 -> 13 [size =\"36709376\"]\n  12 [size=\"84497067\", alpha=\"0.03\", expect_size=\"25349120\"] \n  13 [size=\"173492907\", alpha=\"0.02\", expect_size=\"52047872\"] \n  13 -> 14 [size =\"52047872\"]\n  14 [size=\"173769387\", alpha=\"0.06\", expect_size=\"52130816\"] \n  14 -> 15 [size =\"52130816\"]\n  14 -> 16 [size =\"52130816\"]\n  15 [size=\"101317973\", alpha=\"0.06\", expect_size=\"30395392\"] \n  15 -> 17 [size =\"30395392\"]\n  15 -> 18 [size =\"30395392\"]\n  16 [size=\"76789760\", alpha=\"0.06\", expect_size=\"23036928\"] \n  16 -> 17 [size =\"23036928\"]\n  17 [size=\"115080533\", alpha=\"0.16\", expect_size=\"34524160\"] \n  17 -> 20 [size =\"34524160\"]\n  18 [size=\"165324800\", alpha=\"0.16\", expect_size=\"49597440\"] \n  18 -> 19 [size =\"49597440\"]\n  18 -> 20 [size =\"49597440\"]\n  19 [size=\"56859307\", alpha=\"0.19\", expect_size=\"17057792\"] \n  20 [size=\"47725227\", alpha=\"0.13\", expect_size=\"14317568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119142400\", alpha=\"0.02\", expect_size=\"35742720\"] \n  1 -> 2 [size =\"35742720\"]\n  2 [size=\"140445013\", alpha=\"0.19\", expect_size=\"42133504\"] \n  2 -> 3 [size =\"42133504\"]\n  3 [size=\"137663147\", alpha=\"0.03\", expect_size=\"41298944\"] \n  3 -> 4 [size =\"41298944\"]\n  4 [size=\"154627413\", alpha=\"0.08\", expect_size=\"46388224\"] \n  4 -> 5 [size =\"46388224\"]\n  5 [size=\"60641280\", alpha=\"0.01\", expect_size=\"18192384\"] \n  5 -> 6 [size =\"18192384\"]\n  6 [size=\"117152427\", alpha=\"0.08\", expect_size=\"35145728\"] \n  6 -> 7 [size =\"35145728\"]\n  7 [size=\"73379840\", alpha=\"0.02\", expect_size=\"22013952\"] \n  7 -> 8 [size =\"22013952\"]\n  8 [size=\"111134720\", alpha=\"0.15\", expect_size=\"33340416\"] \n  8 -> 9 [size =\"33340416\"]\n  9 [size=\"171997867\", alpha=\"0.16\", expect_size=\"51599360\"] \n  9 -> 10 [size =\"51599360\"]\n  10 [size=\"99898027\", alpha=\"0.02\", expect_size=\"29969408\"] \n  10 -> 11 [size =\"29969408\"]\n  11 [size=\"145158827\", alpha=\"0.14\", expect_size=\"43547648\"] \n  11 -> 12 [size =\"43547648\"]\n  12 [size=\"160194560\", alpha=\"0.07\", expect_size=\"48058368\"] \n  12 -> 13 [size =\"48058368\"]\n  13 [size=\"154852693\", alpha=\"0.01\", expect_size=\"46455808\"] \n  13 -> 14 [size =\"46455808\"]\n  14 [size=\"24545280\", alpha=\"0.17\", expect_size=\"7363584\"] \n  14 -> 15 [size =\"7363584\"]\n  15 [size=\"89275733\", alpha=\"0.12\", expect_size=\"26782720\"] \n  15 -> 16 [size =\"26782720\"]\n  16 [size=\"95573333\", alpha=\"0.19\", expect_size=\"28672000\"] \n  16 -> 17 [size =\"28672000\"]\n  17 [size=\"156354560\", alpha=\"0.11\", expect_size=\"46906368\"] \n  17 -> 18 [size =\"46906368\"]\n  18 [size=\"18367147\", alpha=\"0.09\", expect_size=\"5510144\"] \n  18 -> 19 [size =\"5510144\"]\n  19 [size=\"139130880\", alpha=\"0.11\", expect_size=\"41739264\"] \n  19 -> 20 [size =\"41739264\"]\n  20 [size=\"105451520\", alpha=\"0.05\", expect_size=\"31635456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44805120\", alpha=\"0.01\", expect_size=\"17922048\"] \n  1 -> 9 [size =\"17922048\"]\n  1 -> 11 [size =\"17922048\"]\n  1 -> 14 [size =\"17922048\"]\n  2 [size=\"80176640\", alpha=\"0.17\", expect_size=\"32070656\"] \n  2 -> 9 [size =\"32070656\"]\n  2 -> 11 [size =\"32070656\"]\n  2 -> 12 [size =\"32070656\"]\n  2 -> 13 [size =\"32070656\"]\n  3 [size=\"119982080\", alpha=\"0.12\", expect_size=\"47992832\"] \n  3 -> 9 [size =\"47992832\"]\n  3 -> 10 [size =\"47992832\"]\n  3 -> 13 [size =\"47992832\"]\n  3 -> 15 [size =\"47992832\"]\n  4 [size=\"124974080\", alpha=\"0.14\", expect_size=\"49989632\"] \n  4 -> 11 [size =\"49989632\"]\n  4 -> 12 [size =\"49989632\"]\n  4 -> 15 [size =\"49989632\"]\n  4 -> 16 [size =\"49989632\"]\n  5 [size=\"64808960\", alpha=\"0.02\", expect_size=\"25923584\"] \n  5 -> 8 [size =\"25923584\"]\n  5 -> 16 [size =\"25923584\"]\n  6 [size=\"34383360\", alpha=\"0.06\", expect_size=\"13753344\"] \n  6 -> 11 [size =\"13753344\"]\n  6 -> 16 [size =\"13753344\"]\n  7 [size=\"42874880\", alpha=\"0.00\", expect_size=\"17149952\"] \n  7 -> 9 [size =\"17149952\"]\n  7 -> 10 [size =\"17149952\"]\n  7 -> 12 [size =\"17149952\"]\n  7 -> 16 [size =\"17149952\"]\n  8 [size=\"24637440\", alpha=\"0.04\", expect_size=\"9854976\"] \n  8 -> 20 [size =\"9854976\"]\n  9 [size=\"24266240\", alpha=\"0.20\", expect_size=\"9706496\"] \n  9 -> 19 [size =\"9706496\"]\n  10 [size=\"75832320\", alpha=\"0.14\", expect_size=\"30332928\"] \n  10 -> 17 [size =\"30332928\"]\n  10 -> 18 [size =\"30332928\"]\n  10 -> 20 [size =\"30332928\"]\n  11 [size=\"23577600\", alpha=\"0.19\", expect_size=\"9431040\"] \n  11 -> 17 [size =\"9431040\"]\n  12 [size=\"29616640\", alpha=\"0.15\", expect_size=\"11846656\"] \n  13 [size=\"13575680\", alpha=\"0.10\", expect_size=\"5430272\"] \n  13 -> 20 [size =\"5430272\"]\n  14 [size=\"82252800\", alpha=\"0.00\", expect_size=\"32901120\"] \n  14 -> 17 [size =\"32901120\"]\n  14 -> 20 [size =\"32901120\"]\n  15 [size=\"49766400\", alpha=\"0.08\", expect_size=\"19906560\"] \n  16 [size=\"64112640\", alpha=\"0.10\", expect_size=\"25645056\"] \n  16 -> 20 [size =\"25645056\"]\n  17 [size=\"98275840\", alpha=\"0.00\", expect_size=\"39310336\"] \n  18 [size=\"100848640\", alpha=\"0.19\", expect_size=\"40339456\"] \n  19 [size=\"122137600\", alpha=\"0.06\", expect_size=\"48855040\"] \n  20 [size=\"121582080\", alpha=\"0.02\", expect_size=\"48632832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51367936\", alpha=\"0.08\", expect_size=\"25683968\"] \n  1 -> 2 [size =\"25683968\"]\n  2 [size=\"82438144\", alpha=\"0.17\", expect_size=\"41219072\"] \n  2 -> 3 [size =\"41219072\"]\n  3 [size=\"66895872\", alpha=\"0.11\", expect_size=\"33447936\"] \n  3 -> 4 [size =\"33447936\"]\n  4 [size=\"68982784\", alpha=\"0.04\", expect_size=\"34491392\"] \n  4 -> 5 [size =\"34491392\"]\n  5 [size=\"26722304\", alpha=\"0.02\", expect_size=\"13361152\"] \n  5 -> 6 [size =\"13361152\"]\n  6 [size=\"82610176\", alpha=\"0.18\", expect_size=\"41305088\"] \n  6 -> 7 [size =\"41305088\"]\n  7 [size=\"25792512\", alpha=\"0.19\", expect_size=\"12896256\"] \n  7 -> 8 [size =\"12896256\"]\n  8 [size=\"98764800\", alpha=\"0.14\", expect_size=\"49382400\"] \n  8 -> 9 [size =\"49382400\"]\n  9 [size=\"59932672\", alpha=\"0.02\", expect_size=\"29966336\"] \n  9 -> 10 [size =\"29966336\"]\n  10 [size=\"37433344\", alpha=\"0.03\", expect_size=\"18716672\"] \n  10 -> 11 [size =\"18716672\"]\n  11 [size=\"77791232\", alpha=\"0.10\", expect_size=\"38895616\"] \n  11 -> 12 [size =\"38895616\"]\n  12 [size=\"21008384\", alpha=\"0.11\", expect_size=\"10504192\"] \n  12 -> 13 [size =\"10504192\"]\n  13 [size=\"103450624\", alpha=\"0.01\", expect_size=\"51725312\"] \n  13 -> 14 [size =\"51725312\"]\n  14 [size=\"59166720\", alpha=\"0.16\", expect_size=\"29583360\"] \n  14 -> 15 [size =\"29583360\"]\n  15 [size=\"78317568\", alpha=\"0.05\", expect_size=\"39158784\"] \n  15 -> 16 [size =\"39158784\"]\n  16 [size=\"88748032\", alpha=\"0.03\", expect_size=\"44374016\"] \n  16 -> 17 [size =\"44374016\"]\n  17 [size=\"79278080\", alpha=\"0.11\", expect_size=\"39639040\"] \n  17 -> 18 [size =\"39639040\"]\n  18 [size=\"76765184\", alpha=\"0.07\", expect_size=\"38382592\"] \n  18 -> 19 [size =\"38382592\"]\n  19 [size=\"50583552\", alpha=\"0.07\", expect_size=\"25291776\"] \n  19 -> 20 [size =\"25291776\"]\n  20 [size=\"57968640\", alpha=\"0.10\", expect_size=\"28984320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66045952\", alpha=\"0.06\", expect_size=\"33022976\"] \n  1 -> 2 [size =\"33022976\"]\n  2 [size=\"59351040\", alpha=\"0.17\", expect_size=\"29675520\"] \n  2 -> 3 [size =\"29675520\"]\n  3 [size=\"13613056\", alpha=\"0.15\", expect_size=\"6806528\"] \n  3 -> 4 [size =\"6806528\"]\n  4 [size=\"35651584\", alpha=\"0.12\", expect_size=\"17825792\"] \n  4 -> 5 [size =\"17825792\"]\n  5 [size=\"71718912\", alpha=\"0.03\", expect_size=\"35859456\"] \n  5 -> 6 [size =\"35859456\"]\n  6 [size=\"68401152\", alpha=\"0.14\", expect_size=\"34200576\"] \n  6 -> 7 [size =\"34200576\"]\n  7 [size=\"20586496\", alpha=\"0.19\", expect_size=\"10293248\"] \n  7 -> 8 [size =\"10293248\"]\n  8 [size=\"95944704\", alpha=\"0.20\", expect_size=\"47972352\"] \n  8 -> 9 [size =\"47972352\"]\n  9 [size=\"67584000\", alpha=\"0.05\", expect_size=\"33792000\"] \n  9 -> 10 [size =\"33792000\"]\n  10 [size=\"32997376\", alpha=\"0.15\", expect_size=\"16498688\"] \n  10 -> 11 [size =\"16498688\"]\n  11 [size=\"10491904\", alpha=\"0.14\", expect_size=\"5245952\"] \n  11 -> 12 [size =\"5245952\"]\n  12 [size=\"40302592\", alpha=\"0.15\", expect_size=\"20151296\"] \n  12 -> 13 [size =\"20151296\"]\n  13 [size=\"25780224\", alpha=\"0.02\", expect_size=\"12890112\"] \n  13 -> 14 [size =\"12890112\"]\n  14 [size=\"94865408\", alpha=\"0.13\", expect_size=\"47432704\"] \n  14 -> 15 [size =\"47432704\"]\n  15 [size=\"59344896\", alpha=\"0.08\", expect_size=\"29672448\"] \n  15 -> 16 [size =\"29672448\"]\n  16 [size=\"75808768\", alpha=\"0.03\", expect_size=\"37904384\"] \n  16 -> 17 [size =\"37904384\"]\n  17 [size=\"46479360\", alpha=\"0.09\", expect_size=\"23239680\"] \n  17 -> 18 [size =\"23239680\"]\n  18 [size=\"40488960\", alpha=\"0.20\", expect_size=\"20244480\"] \n  18 -> 19 [size =\"20244480\"]\n  19 [size=\"39860224\", alpha=\"0.14\", expect_size=\"19930112\"] \n  19 -> 20 [size =\"19930112\"]\n  20 [size=\"65744896\", alpha=\"0.03\", expect_size=\"32872448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47199573\", alpha=\"0.18\", expect_size=\"14159872\"] \n  1 -> 9 [size =\"14159872\"]\n  1 -> 11 [size =\"14159872\"]\n  1 -> 12 [size =\"14159872\"]\n  1 -> 13 [size =\"14159872\"]\n  1 -> 16 [size =\"14159872\"]\n  2 [size=\"54299307\", alpha=\"0.04\", expect_size=\"16289792\"] \n  2 -> 11 [size =\"16289792\"]\n  3 [size=\"82472960\", alpha=\"0.11\", expect_size=\"24741888\"] \n  3 -> 9 [size =\"24741888\"]\n  3 -> 15 [size =\"24741888\"]\n  3 -> 16 [size =\"24741888\"]\n  3 -> 17 [size =\"24741888\"]\n  4 [size=\"73332053\", alpha=\"0.14\", expect_size=\"21999616\"] \n  4 -> 9 [size =\"21999616\"]\n  4 -> 12 [size =\"21999616\"]\n  4 -> 14 [size =\"21999616\"]\n  4 -> 15 [size =\"21999616\"]\n  4 -> 17 [size =\"21999616\"]\n  5 [size=\"48117760\", alpha=\"0.04\", expect_size=\"14435328\"] \n  5 -> 9 [size =\"14435328\"]\n  5 -> 11 [size =\"14435328\"]\n  5 -> 17 [size =\"14435328\"]\n  6 [size=\"70700373\", alpha=\"0.15\", expect_size=\"21210112\"] \n  6 -> 9 [size =\"21210112\"]\n  6 -> 12 [size =\"21210112\"]\n  6 -> 14 [size =\"21210112\"]\n  6 -> 16 [size =\"21210112\"]\n  6 -> 17 [size =\"21210112\"]\n  7 [size=\"29491200\", alpha=\"0.15\", expect_size=\"8847360\"] \n  7 -> 16 [size =\"8847360\"]\n  7 -> 17 [size =\"8847360\"]\n  8 [size=\"170663253\", alpha=\"0.09\", expect_size=\"51198976\"] \n  8 -> 10 [size =\"51198976\"]\n  8 -> 12 [size =\"51198976\"]\n  8 -> 15 [size =\"51198976\"]\n  9 [size=\"137980587\", alpha=\"0.08\", expect_size=\"41394176\"] \n  9 -> 18 [size =\"41394176\"]\n  10 [size=\"131727360\", alpha=\"0.02\", expect_size=\"39518208\"] \n  11 [size=\"111721813\", alpha=\"0.18\", expect_size=\"33516544\"] \n  12 [size=\"92255573\", alpha=\"0.10\", expect_size=\"27676672\"] \n  13 [size=\"123289600\", alpha=\"0.06\", expect_size=\"36986880\"] \n  13 -> 18 [size =\"36986880\"]\n  14 [size=\"53179733\", alpha=\"0.02\", expect_size=\"15953920\"] \n  14 -> 20 [size =\"15953920\"]\n  15 [size=\"159409493\", alpha=\"0.12\", expect_size=\"47822848\"] \n  15 -> 19 [size =\"47822848\"]\n  16 [size=\"34993493\", alpha=\"0.14\", expect_size=\"10498048\"] \n  16 -> 19 [size =\"10498048\"]\n  17 [size=\"149224107\", alpha=\"0.18\", expect_size=\"44767232\"] \n  17 -> 18 [size =\"44767232\"]\n  17 -> 20 [size =\"44767232\"]\n  18 [size=\"110202880\", alpha=\"0.04\", expect_size=\"33060864\"] \n  19 [size=\"22674773\", alpha=\"0.13\", expect_size=\"6802432\"] \n  20 [size=\"83077120\", alpha=\"0.13\", expect_size=\"24923136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171776000\", alpha=\"0.04\", expect_size=\"51532800\"] \n  1 -> 19 [size =\"51532800\"]\n  2 [size=\"68010667\", alpha=\"0.14\", expect_size=\"20403200\"] \n  2 -> 19 [size =\"20403200\"]\n  3 [size=\"145244160\", alpha=\"0.07\", expect_size=\"43573248\"] \n  3 -> 19 [size =\"43573248\"]\n  4 [size=\"156334080\", alpha=\"0.08\", expect_size=\"46900224\"] \n  4 -> 19 [size =\"46900224\"]\n  5 [size=\"43315200\", alpha=\"0.07\", expect_size=\"12994560\"] \n  5 -> 19 [size =\"12994560\"]\n  5 -> 20 [size =\"12994560\"]\n  6 [size=\"134529707\", alpha=\"0.08\", expect_size=\"40358912\"] \n  6 -> 19 [size =\"40358912\"]\n  6 -> 20 [size =\"40358912\"]\n  7 [size=\"155723093\", alpha=\"0.13\", expect_size=\"46716928\"] \n  7 -> 19 [size =\"46716928\"]\n  8 [size=\"96682667\", alpha=\"0.15\", expect_size=\"29004800\"] \n  8 -> 19 [size =\"29004800\"]\n  9 [size=\"76335787\", alpha=\"0.02\", expect_size=\"22900736\"] \n  9 -> 20 [size =\"22900736\"]\n  10 [size=\"21405013\", alpha=\"0.19\", expect_size=\"6421504\"] \n  11 [size=\"27019947\", alpha=\"0.15\", expect_size=\"8105984\"] \n  12 [size=\"58869760\", alpha=\"0.05\", expect_size=\"17660928\"] \n  13 [size=\"165099520\", alpha=\"0.06\", expect_size=\"49529856\"] \n  13 -> 19 [size =\"49529856\"]\n  14 [size=\"61102080\", alpha=\"0.20\", expect_size=\"18330624\"] \n  15 [size=\"125525333\", alpha=\"0.02\", expect_size=\"37657600\"] \n  16 [size=\"25429333\", alpha=\"0.17\", expect_size=\"7628800\"] \n  16 -> 19 [size =\"7628800\"]\n  16 -> 20 [size =\"7628800\"]\n  17 [size=\"90449920\", alpha=\"0.01\", expect_size=\"27134976\"] \n  17 -> 19 [size =\"27134976\"]\n  18 [size=\"32648533\", alpha=\"0.09\", expect_size=\"9794560\"] \n  18 -> 19 [size =\"9794560\"]\n  18 -> 20 [size =\"9794560\"]\n  19 [size=\"153719467\", alpha=\"0.13\", expect_size=\"46115840\"] \n  20 [size=\"170960213\", alpha=\"0.12\", expect_size=\"51288064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170714453\", alpha=\"0.15\", expect_size=\"51214336\"] \n  1 -> 9 [size =\"51214336\"]\n  1 -> 10 [size =\"51214336\"]\n  1 -> 16 [size =\"51214336\"]\n  2 [size=\"125040640\", alpha=\"0.18\", expect_size=\"37512192\"] \n  2 -> 10 [size =\"37512192\"]\n  2 -> 14 [size =\"37512192\"]\n  2 -> 16 [size =\"37512192\"]\n  3 [size=\"136792747\", alpha=\"0.14\", expect_size=\"41037824\"] \n  3 -> 14 [size =\"41037824\"]\n  3 -> 16 [size =\"41037824\"]\n  4 [size=\"91118933\", alpha=\"0.13\", expect_size=\"27335680\"] \n  4 -> 9 [size =\"27335680\"]\n  4 -> 11 [size =\"27335680\"]\n  4 -> 16 [size =\"27335680\"]\n  5 [size=\"24169813\", alpha=\"0.15\", expect_size=\"7250944\"] \n  5 -> 9 [size =\"7250944\"]\n  5 -> 10 [size =\"7250944\"]\n  5 -> 11 [size =\"7250944\"]\n  5 -> 15 [size =\"7250944\"]\n  6 [size=\"115336533\", alpha=\"0.01\", expect_size=\"34600960\"] \n  6 -> 9 [size =\"34600960\"]\n  6 -> 10 [size =\"34600960\"]\n  6 -> 11 [size =\"34600960\"]\n  6 -> 14 [size =\"34600960\"]\n  6 -> 16 [size =\"34600960\"]\n  7 [size=\"144281600\", alpha=\"0.05\", expect_size=\"43284480\"] \n  7 -> 10 [size =\"43284480\"]\n  7 -> 11 [size =\"43284480\"]\n  7 -> 12 [size =\"43284480\"]\n  8 [size=\"160215040\", alpha=\"0.16\", expect_size=\"48064512\"] \n  8 -> 9 [size =\"48064512\"]\n  8 -> 10 [size =\"48064512\"]\n  8 -> 13 [size =\"48064512\"]\n  8 -> 14 [size =\"48064512\"]\n  8 -> 16 [size =\"48064512\"]\n  9 [size=\"106489173\", alpha=\"0.13\", expect_size=\"31946752\"] \n  9 -> 17 [size =\"31946752\"]\n  9 -> 20 [size =\"31946752\"]\n  10 [size=\"50705067\", alpha=\"0.10\", expect_size=\"15211520\"] \n  10 -> 17 [size =\"15211520\"]\n  10 -> 18 [size =\"15211520\"]\n  11 [size=\"143005013\", alpha=\"0.02\", expect_size=\"42901504\"] \n  11 -> 17 [size =\"42901504\"]\n  12 [size=\"105820160\", alpha=\"0.07\", expect_size=\"31746048\"] \n  12 -> 18 [size =\"31746048\"]\n  12 -> 20 [size =\"31746048\"]\n  13 [size=\"93883733\", alpha=\"0.14\", expect_size=\"28165120\"] \n  13 -> 17 [size =\"28165120\"]\n  14 [size=\"47902720\", alpha=\"0.15\", expect_size=\"14370816\"] \n  14 -> 17 [size =\"14370816\"]\n  15 [size=\"149954560\", alpha=\"0.19\", expect_size=\"44986368\"] \n  15 -> 17 [size =\"44986368\"]\n  15 -> 19 [size =\"44986368\"]\n  16 [size=\"114486613\", alpha=\"0.04\", expect_size=\"34345984\"] \n  16 -> 17 [size =\"34345984\"]\n  16 -> 18 [size =\"34345984\"]\n  16 -> 19 [size =\"34345984\"]\n  17 [size=\"118565547\", alpha=\"0.05\", expect_size=\"35569664\"] \n  18 [size=\"157696000\", alpha=\"0.20\", expect_size=\"47308800\"] \n  19 [size=\"125863253\", alpha=\"0.06\", expect_size=\"37758976\"] \n  20 [size=\"72011093\", alpha=\"0.03\", expect_size=\"21603328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35233280\", alpha=\"0.19\", expect_size=\"14093312\"] \n  1 -> 18 [size =\"14093312\"]\n  1 -> 19 [size =\"14093312\"]\n  1 -> 20 [size =\"14093312\"]\n  2 [size=\"95656960\", alpha=\"0.07\", expect_size=\"38262784\"] \n  2 -> 18 [size =\"38262784\"]\n  2 -> 20 [size =\"38262784\"]\n  3 [size=\"75463680\", alpha=\"0.17\", expect_size=\"30185472\"] \n  3 -> 20 [size =\"30185472\"]\n  4 [size=\"15902720\", alpha=\"0.02\", expect_size=\"6361088\"] \n  4 -> 19 [size =\"6361088\"]\n  4 -> 20 [size =\"6361088\"]\n  5 [size=\"86574080\", alpha=\"0.02\", expect_size=\"34629632\"] \n  5 -> 18 [size =\"34629632\"]\n  5 -> 20 [size =\"34629632\"]\n  6 [size=\"47554560\", alpha=\"0.11\", expect_size=\"19021824\"] \n  6 -> 18 [size =\"19021824\"]\n  7 [size=\"31690240\", alpha=\"0.09\", expect_size=\"12676096\"] \n  7 -> 18 [size =\"12676096\"]\n  7 -> 20 [size =\"12676096\"]\n  8 [size=\"128163840\", alpha=\"0.04\", expect_size=\"51265536\"] \n  8 -> 18 [size =\"51265536\"]\n  9 [size=\"95500800\", alpha=\"0.19\", expect_size=\"38200320\"] \n  9 -> 18 [size =\"38200320\"]\n  9 -> 20 [size =\"38200320\"]\n  10 [size=\"44139520\", alpha=\"0.15\", expect_size=\"17655808\"] \n  10 -> 20 [size =\"17655808\"]\n  11 [size=\"65978880\", alpha=\"0.07\", expect_size=\"26391552\"] \n  12 [size=\"58350080\", alpha=\"0.05\", expect_size=\"23340032\"] \n  12 -> 18 [size =\"23340032\"]\n  12 -> 19 [size =\"23340032\"]\n  12 -> 20 [size =\"23340032\"]\n  13 [size=\"99834880\", alpha=\"0.13\", expect_size=\"39933952\"] \n  14 [size=\"84766720\", alpha=\"0.08\", expect_size=\"33906688\"] \n  15 [size=\"97925120\", alpha=\"0.07\", expect_size=\"39170048\"] \n  16 [size=\"107842560\", alpha=\"0.07\", expect_size=\"43137024\"] \n  16 -> 18 [size =\"43137024\"]\n  17 [size=\"55208960\", alpha=\"0.05\", expect_size=\"22083584\"] \n  17 -> 18 [size =\"22083584\"]\n  17 -> 20 [size =\"22083584\"]\n  18 [size=\"106598400\", alpha=\"0.02\", expect_size=\"42639360\"] \n  19 [size=\"127523840\", alpha=\"0.11\", expect_size=\"51009536\"] \n  20 [size=\"123781120\", alpha=\"0.10\", expect_size=\"49512448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85703680\", alpha=\"0.19\", expect_size=\"34281472\"] \n  1 -> 2 [size =\"34281472\"]\n  1 -> 3 [size =\"34281472\"]\n  2 [size=\"52211200\", alpha=\"0.18\", expect_size=\"20884480\"] \n  2 -> 4 [size =\"20884480\"]\n  3 [size=\"50265600\", alpha=\"0.07\", expect_size=\"20106240\"] \n  3 -> 4 [size =\"20106240\"]\n  4 [size=\"99517440\", alpha=\"0.03\", expect_size=\"39806976\"] \n  4 -> 5 [size =\"39806976\"]\n  5 [size=\"29089280\", alpha=\"0.14\", expect_size=\"11635712\"] \n  5 -> 6 [size =\"11635712\"]\n  6 [size=\"120609280\", alpha=\"0.03\", expect_size=\"48243712\"] \n  6 -> 7 [size =\"48243712\"]\n  6 -> 8 [size =\"48243712\"]\n  7 [size=\"63400960\", alpha=\"0.08\", expect_size=\"25360384\"] \n  7 -> 9 [size =\"25360384\"]\n  8 [size=\"99724800\", alpha=\"0.11\", expect_size=\"39889920\"] \n  8 -> 9 [size =\"39889920\"]\n  9 [size=\"34519040\", alpha=\"0.03\", expect_size=\"13807616\"] \n  9 -> 10 [size =\"13807616\"]\n  10 [size=\"81464320\", alpha=\"0.14\", expect_size=\"32585728\"] \n  10 -> 11 [size =\"32585728\"]\n  10 -> 12 [size =\"32585728\"]\n  11 [size=\"48837120\", alpha=\"0.02\", expect_size=\"19534848\"] \n  11 -> 13 [size =\"19534848\"]\n  12 [size=\"43824640\", alpha=\"0.00\", expect_size=\"17529856\"] \n  12 -> 14 [size =\"17529856\"]\n  13 [size=\"30858240\", alpha=\"0.11\", expect_size=\"12343296\"] \n  13 -> 15 [size =\"12343296\"]\n  14 [size=\"72942080\", alpha=\"0.07\", expect_size=\"29176832\"] \n  15 [size=\"91228160\", alpha=\"0.04\", expect_size=\"36491264\"] \n  15 -> 16 [size =\"36491264\"]\n  15 -> 17 [size =\"36491264\"]\n  16 [size=\"53084160\", alpha=\"0.18\", expect_size=\"21233664\"] \n  16 -> 18 [size =\"21233664\"]\n  16 -> 19 [size =\"21233664\"]\n  17 [size=\"71467520\", alpha=\"0.18\", expect_size=\"28587008\"] \n  17 -> 19 [size =\"28587008\"]\n  18 [size=\"120092160\", alpha=\"0.10\", expect_size=\"48036864\"] \n  19 [size=\"66088960\", alpha=\"0.16\", expect_size=\"26435584\"] \n  19 -> 20 [size =\"26435584\"]\n  20 [size=\"82836480\", alpha=\"0.18\", expect_size=\"33134592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46878720\", alpha=\"0.06\", expect_size=\"14063616\"] \n  1 -> 20 [size =\"14063616\"]\n  2 [size=\"124248747\", alpha=\"0.06\", expect_size=\"37274624\"] \n  2 -> 20 [size =\"37274624\"]\n  3 [size=\"47196160\", alpha=\"0.15\", expect_size=\"14158848\"] \n  3 -> 20 [size =\"14158848\"]\n  4 [size=\"114053120\", alpha=\"0.18\", expect_size=\"34215936\"] \n  4 -> 20 [size =\"34215936\"]\n  5 [size=\"168352427\", alpha=\"0.01\", expect_size=\"50505728\"] \n  5 -> 20 [size =\"50505728\"]\n  6 [size=\"141438293\", alpha=\"0.14\", expect_size=\"42431488\"] \n  6 -> 20 [size =\"42431488\"]\n  7 [size=\"57176747\", alpha=\"0.09\", expect_size=\"17153024\"] \n  8 [size=\"114930347\", alpha=\"0.07\", expect_size=\"34479104\"] \n  8 -> 20 [size =\"34479104\"]\n  9 [size=\"112943787\", alpha=\"0.16\", expect_size=\"33883136\"] \n  10 [size=\"31894187\", alpha=\"0.14\", expect_size=\"9568256\"] \n  11 [size=\"134307840\", alpha=\"0.16\", expect_size=\"40292352\"] \n  12 [size=\"27972267\", alpha=\"0.15\", expect_size=\"8391680\"] \n  13 [size=\"74096640\", alpha=\"0.07\", expect_size=\"22228992\"] \n  14 [size=\"38007467\", alpha=\"0.18\", expect_size=\"11402240\"] \n  15 [size=\"18984960\", alpha=\"0.03\", expect_size=\"5695488\"] \n  16 [size=\"25757013\", alpha=\"0.09\", expect_size=\"7727104\"] \n  17 [size=\"132082347\", alpha=\"0.08\", expect_size=\"39624704\"] \n  17 -> 20 [size =\"39624704\"]\n  18 [size=\"48308907\", alpha=\"0.15\", expect_size=\"14492672\"] \n  18 -> 20 [size =\"14492672\"]\n  19 [size=\"104099840\", alpha=\"0.13\", expect_size=\"31229952\"] \n  19 -> 20 [size =\"31229952\"]\n  20 [size=\"74181973\", alpha=\"0.15\", expect_size=\"22254592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72048640\", alpha=\"0.05\", expect_size=\"21614592\"] \n  1 -> 6 [size =\"21614592\"]\n  1 -> 7 [size =\"21614592\"]\n  2 [size=\"137519787\", alpha=\"0.14\", expect_size=\"41255936\"] \n  2 -> 6 [size =\"41255936\"]\n  2 -> 7 [size =\"41255936\"]\n  3 [size=\"76025173\", alpha=\"0.02\", expect_size=\"22807552\"] \n  3 -> 6 [size =\"22807552\"]\n  3 -> 7 [size =\"22807552\"]\n  4 [size=\"142694400\", alpha=\"0.07\", expect_size=\"42808320\"] \n  4 -> 5 [size =\"42808320\"]\n  4 -> 6 [size =\"42808320\"]\n  4 -> 7 [size =\"42808320\"]\n  5 [size=\"61044053\", alpha=\"0.19\", expect_size=\"18313216\"] \n  5 -> 8 [size =\"18313216\"]\n  5 -> 10 [size =\"18313216\"]\n  5 -> 11 [size =\"18313216\"]\n  6 [size=\"37413547\", alpha=\"0.19\", expect_size=\"11224064\"] \n  6 -> 8 [size =\"11224064\"]\n  6 -> 9 [size =\"11224064\"]\n  6 -> 11 [size =\"11224064\"]\n  7 [size=\"140124160\", alpha=\"0.01\", expect_size=\"42037248\"] \n  7 -> 8 [size =\"42037248\"]\n  7 -> 9 [size =\"42037248\"]\n  7 -> 10 [size =\"42037248\"]\n  7 -> 11 [size =\"42037248\"]\n  8 [size=\"132768427\", alpha=\"0.01\", expect_size=\"39830528\"] \n  8 -> 12 [size =\"39830528\"]\n  8 -> 14 [size =\"39830528\"]\n  8 -> 15 [size =\"39830528\"]\n  9 [size=\"80486400\", alpha=\"0.07\", expect_size=\"24145920\"] \n  9 -> 14 [size =\"24145920\"]\n  9 -> 14 [size =\"24145920\"]\n  10 [size=\"64986453\", alpha=\"0.01\", expect_size=\"19495936\"] \n  10 -> 12 [size =\"19495936\"]\n  10 -> 15 [size =\"19495936\"]\n  11 [size=\"78663680\", alpha=\"0.12\", expect_size=\"23599104\"] \n  11 -> 13 [size =\"23599104\"]\n  11 -> 14 [size =\"23599104\"]\n  12 [size=\"118790827\", alpha=\"0.10\", expect_size=\"35637248\"] \n  12 -> 16 [size =\"35637248\"]\n  12 -> 18 [size =\"35637248\"]\n  12 -> 19 [size =\"35637248\"]\n  13 [size=\"67928747\", alpha=\"0.16\", expect_size=\"20378624\"] \n  13 -> 16 [size =\"20378624\"]\n  13 -> 19 [size =\"20378624\"]\n  13 -> 19 [size =\"20378624\"]\n  14 [size=\"82937173\", alpha=\"0.02\", expect_size=\"24881152\"] \n  14 -> 17 [size =\"24881152\"]\n  14 -> 18 [size =\"24881152\"]\n  15 [size=\"138970453\", alpha=\"0.07\", expect_size=\"41691136\"] \n  15 -> 16 [size =\"41691136\"]\n  15 -> 18 [size =\"41691136\"]\n  15 -> 19 [size =\"41691136\"]\n  16 [size=\"131921920\", alpha=\"0.12\", expect_size=\"39576576\"] \n  16 -> 20 [size =\"39576576\"]\n  17 [size=\"127085227\", alpha=\"0.04\", expect_size=\"38125568\"] \n  17 -> 20 [size =\"38125568\"]\n  18 [size=\"134676480\", alpha=\"0.11\", expect_size=\"40402944\"] \n  18 -> 20 [size =\"40402944\"]\n  19 [size=\"139485867\", alpha=\"0.11\", expect_size=\"41845760\"] \n  19 -> 20 [size =\"41845760\"]\n  20 [size=\"40338773\", alpha=\"0.10\", expect_size=\"12101632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101061973\", alpha=\"0.01\", expect_size=\"30318592\"] \n  1 -> 8 [size =\"30318592\"]\n  1 -> 10 [size =\"30318592\"]\n  1 -> 11 [size =\"30318592\"]\n  2 [size=\"28153173\", alpha=\"0.07\", expect_size=\"8445952\"] \n  2 -> 11 [size =\"8445952\"]\n  3 [size=\"163956053\", alpha=\"0.10\", expect_size=\"49186816\"] \n  3 -> 9 [size =\"49186816\"]\n  4 [size=\"44748800\", alpha=\"0.01\", expect_size=\"13424640\"] \n  4 -> 8 [size =\"13424640\"]\n  5 [size=\"51073707\", alpha=\"0.18\", expect_size=\"15322112\"] \n  5 -> 12 [size =\"15322112\"]\n  6 [size=\"42844160\", alpha=\"0.02\", expect_size=\"12853248\"] \n  6 -> 11 [size =\"12853248\"]\n  6 -> 12 [size =\"12853248\"]\n  7 [size=\"132689920\", alpha=\"0.04\", expect_size=\"39806976\"] \n  7 -> 12 [size =\"39806976\"]\n  8 [size=\"54504107\", alpha=\"0.19\", expect_size=\"16351232\"] \n  8 -> 14 [size =\"16351232\"]\n  8 -> 20 [size =\"16351232\"]\n  9 [size=\"114879147\", alpha=\"0.03\", expect_size=\"34463744\"] \n  9 -> 13 [size =\"34463744\"]\n  9 -> 15 [size =\"34463744\"]\n  9 -> 16 [size =\"34463744\"]\n  9 -> 17 [size =\"34463744\"]\n  10 [size=\"115981653\", alpha=\"0.06\", expect_size=\"34794496\"] \n  10 -> 13 [size =\"34794496\"]\n  10 -> 14 [size =\"34794496\"]\n  10 -> 19 [size =\"34794496\"]\n  11 [size=\"38048427\", alpha=\"0.17\", expect_size=\"11414528\"] \n  11 -> 15 [size =\"11414528\"]\n  12 [size=\"42082987\", alpha=\"0.19\", expect_size=\"12624896\"] \n  12 -> 18 [size =\"12624896\"]\n  12 -> 19 [size =\"12624896\"]\n  12 -> 20 [size =\"12624896\"]\n  13 [size=\"99065173\", alpha=\"0.18\", expect_size=\"29719552\"] \n  14 [size=\"19718827\", alpha=\"0.06\", expect_size=\"5915648\"] \n  15 [size=\"31105707\", alpha=\"0.19\", expect_size=\"9331712\"] \n  16 [size=\"169041920\", alpha=\"0.10\", expect_size=\"50712576\"] \n  17 [size=\"25941333\", alpha=\"0.13\", expect_size=\"7782400\"] \n  18 [size=\"57313280\", alpha=\"0.14\", expect_size=\"17193984\"] \n  19 [size=\"49923413\", alpha=\"0.04\", expect_size=\"14977024\"] \n  20 [size=\"71990613\", alpha=\"0.03\", expect_size=\"21597184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59947008\", alpha=\"0.03\", expect_size=\"29973504\"] \n  1 -> 2 [size =\"29973504\"]\n  2 [size=\"60995584\", alpha=\"0.01\", expect_size=\"30497792\"] \n  2 -> 3 [size =\"30497792\"]\n  2 -> 4 [size =\"30497792\"]\n  3 [size=\"43223040\", alpha=\"0.07\", expect_size=\"21611520\"] \n  3 -> 6 [size =\"21611520\"]\n  4 [size=\"63029248\", alpha=\"0.04\", expect_size=\"31514624\"] \n  4 -> 5 [size =\"31514624\"]\n  4 -> 6 [size =\"31514624\"]\n  5 [size=\"11511808\", alpha=\"0.10\", expect_size=\"5755904\"] \n  5 -> 7 [size =\"5755904\"]\n  6 [size=\"77324288\", alpha=\"0.07\", expect_size=\"38662144\"] \n  6 -> 7 [size =\"38662144\"]\n  7 [size=\"89131008\", alpha=\"0.20\", expect_size=\"44565504\"] \n  7 -> 8 [size =\"44565504\"]\n  7 -> 9 [size =\"44565504\"]\n  8 [size=\"58181632\", alpha=\"0.19\", expect_size=\"29090816\"] \n  8 -> 10 [size =\"29090816\"]\n  8 -> 11 [size =\"29090816\"]\n  9 [size=\"38406144\", alpha=\"0.18\", expect_size=\"19203072\"] \n  10 [size=\"95156224\", alpha=\"0.05\", expect_size=\"47578112\"] \n  10 -> 13 [size =\"47578112\"]\n  11 [size=\"92983296\", alpha=\"0.06\", expect_size=\"46491648\"] \n  11 -> 12 [size =\"46491648\"]\n  11 -> 13 [size =\"46491648\"]\n  12 [size=\"11276288\", alpha=\"0.04\", expect_size=\"5638144\"] \n  12 -> 14 [size =\"5638144\"]\n  12 -> 15 [size =\"5638144\"]\n  13 [size=\"15958016\", alpha=\"0.09\", expect_size=\"7979008\"] \n  13 -> 14 [size =\"7979008\"]\n  13 -> 15 [size =\"7979008\"]\n  14 [size=\"48375808\", alpha=\"0.08\", expect_size=\"24187904\"] \n  14 -> 16 [size =\"24187904\"]\n  14 -> 17 [size =\"24187904\"]\n  15 [size=\"67065856\", alpha=\"0.16\", expect_size=\"33532928\"] \n  15 -> 16 [size =\"33532928\"]\n  16 [size=\"21276672\", alpha=\"0.11\", expect_size=\"10638336\"] \n  16 -> 18 [size =\"10638336\"]\n  17 [size=\"55646208\", alpha=\"0.16\", expect_size=\"27823104\"] \n  18 [size=\"53344256\", alpha=\"0.10\", expect_size=\"26672128\"] \n  18 -> 19 [size =\"26672128\"]\n  19 [size=\"48146432\", alpha=\"0.18\", expect_size=\"24073216\"] \n  19 -> 20 [size =\"24073216\"]\n  20 [size=\"40665088\", alpha=\"0.14\", expect_size=\"20332544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98358613\", alpha=\"0.02\", expect_size=\"29507584\"] \n  1 -> 5 [size =\"29507584\"]\n  2 [size=\"138987520\", alpha=\"0.03\", expect_size=\"41696256\"] \n  2 -> 5 [size =\"41696256\"]\n  2 -> 8 [size =\"41696256\"]\n  3 [size=\"61760853\", alpha=\"0.01\", expect_size=\"18528256\"] \n  3 -> 5 [size =\"18528256\"]\n  4 [size=\"26210987\", alpha=\"0.09\", expect_size=\"7863296\"] \n  4 -> 5 [size =\"7863296\"]\n  4 -> 6 [size =\"7863296\"]\n  4 -> 7 [size =\"7863296\"]\n  5 [size=\"86411947\", alpha=\"0.18\", expect_size=\"25923584\"] \n  5 -> 9 [size =\"25923584\"]\n  5 -> 10 [size =\"25923584\"]\n  6 [size=\"167594667\", alpha=\"0.14\", expect_size=\"50278400\"] \n  6 -> 10 [size =\"50278400\"]\n  6 -> 11 [size =\"50278400\"]\n  6 -> 12 [size =\"50278400\"]\n  7 [size=\"42618880\", alpha=\"0.06\", expect_size=\"12785664\"] \n  7 -> 10 [size =\"12785664\"]\n  7 -> 12 [size =\"12785664\"]\n  8 [size=\"81745920\", alpha=\"0.08\", expect_size=\"24523776\"] \n  8 -> 10 [size =\"24523776\"]\n  9 [size=\"111742293\", alpha=\"0.05\", expect_size=\"33522688\"] \n  9 -> 13 [size =\"33522688\"]\n  9 -> 14 [size =\"33522688\"]\n  9 -> 15 [size =\"33522688\"]\n  10 [size=\"67232427\", alpha=\"0.00\", expect_size=\"20169728\"] \n  10 -> 13 [size =\"20169728\"]\n  10 -> 15 [size =\"20169728\"]\n  11 [size=\"131942400\", alpha=\"0.06\", expect_size=\"39582720\"] \n  11 -> 13 [size =\"39582720\"]\n  11 -> 14 [size =\"39582720\"]\n  12 [size=\"145701547\", alpha=\"0.16\", expect_size=\"43710464\"] \n  12 -> 13 [size =\"43710464\"]\n  12 -> 14 [size =\"43710464\"]\n  12 -> 15 [size =\"43710464\"]\n  13 [size=\"168857600\", alpha=\"0.08\", expect_size=\"50657280\"] \n  13 -> 17 [size =\"50657280\"]\n  13 -> 19 [size =\"50657280\"]\n  14 [size=\"18503680\", alpha=\"0.06\", expect_size=\"5551104\"] \n  14 -> 16 [size =\"5551104\"]\n  14 -> 18 [size =\"5551104\"]\n  15 [size=\"87818240\", alpha=\"0.10\", expect_size=\"26345472\"] \n  15 -> 17 [size =\"26345472\"]\n  15 -> 18 [size =\"26345472\"]\n  16 [size=\"70202027\", alpha=\"0.19\", expect_size=\"21060608\"] \n  16 -> 20 [size =\"21060608\"]\n  17 [size=\"22132053\", alpha=\"0.19\", expect_size=\"6639616\"] \n  17 -> 20 [size =\"6639616\"]\n  18 [size=\"70106453\", alpha=\"0.17\", expect_size=\"21031936\"] \n  18 -> 20 [size =\"21031936\"]\n  19 [size=\"134847147\", alpha=\"0.12\", expect_size=\"40454144\"] \n  19 -> 20 [size =\"40454144\"]\n  20 [size=\"170850987\", alpha=\"0.13\", expect_size=\"51255296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17597440\", alpha=\"0.08\", expect_size=\"7038976\"] \n  1 -> 2 [size =\"7038976\"]\n  2 [size=\"124303360\", alpha=\"0.19\", expect_size=\"49721344\"] \n  2 -> 3 [size =\"49721344\"]\n  3 [size=\"40384000\", alpha=\"0.02\", expect_size=\"16153600\"] \n  3 -> 4 [size =\"16153600\"]\n  4 [size=\"77593600\", alpha=\"0.13\", expect_size=\"31037440\"] \n  4 -> 5 [size =\"31037440\"]\n  5 [size=\"94609920\", alpha=\"0.02\", expect_size=\"37843968\"] \n  5 -> 6 [size =\"37843968\"]\n  6 [size=\"111851520\", alpha=\"0.17\", expect_size=\"44740608\"] \n  6 -> 7 [size =\"44740608\"]\n  7 [size=\"99456000\", alpha=\"0.06\", expect_size=\"39782400\"] \n  7 -> 8 [size =\"39782400\"]\n  8 [size=\"98206720\", alpha=\"0.08\", expect_size=\"39282688\"] \n  8 -> 9 [size =\"39282688\"]\n  9 [size=\"126184960\", alpha=\"0.07\", expect_size=\"50473984\"] \n  9 -> 10 [size =\"50473984\"]\n  10 [size=\"98910720\", alpha=\"0.14\", expect_size=\"39564288\"] \n  10 -> 11 [size =\"39564288\"]\n  11 [size=\"99243520\", alpha=\"0.05\", expect_size=\"39697408\"] \n  11 -> 12 [size =\"39697408\"]\n  12 [size=\"25899520\", alpha=\"0.18\", expect_size=\"10359808\"] \n  12 -> 13 [size =\"10359808\"]\n  13 [size=\"18856960\", alpha=\"0.04\", expect_size=\"7542784\"] \n  13 -> 14 [size =\"7542784\"]\n  14 [size=\"29806080\", alpha=\"0.01\", expect_size=\"11922432\"] \n  14 -> 15 [size =\"11922432\"]\n  15 [size=\"106956800\", alpha=\"0.04\", expect_size=\"42782720\"] \n  15 -> 16 [size =\"42782720\"]\n  16 [size=\"119877120\", alpha=\"0.15\", expect_size=\"47950848\"] \n  16 -> 17 [size =\"47950848\"]\n  17 [size=\"101900800\", alpha=\"0.19\", expect_size=\"40760320\"] \n  17 -> 18 [size =\"40760320\"]\n  18 [size=\"18368000\", alpha=\"0.03\", expect_size=\"7347200\"] \n  18 -> 19 [size =\"7347200\"]\n  19 [size=\"63088640\", alpha=\"0.08\", expect_size=\"25235456\"] \n  19 -> 20 [size =\"25235456\"]\n  20 [size=\"105295360\", alpha=\"0.02\", expect_size=\"42118144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24322560\", alpha=\"0.06\", expect_size=\"9729024\"] \n  1 -> 11 [size =\"9729024\"]\n  1 -> 12 [size =\"9729024\"]\n  1 -> 13 [size =\"9729024\"]\n  1 -> 15 [size =\"9729024\"]\n  2 [size=\"67281920\", alpha=\"0.06\", expect_size=\"26912768\"] \n  2 -> 12 [size =\"26912768\"]\n  2 -> 16 [size =\"26912768\"]\n  3 [size=\"26362880\", alpha=\"0.06\", expect_size=\"10545152\"] \n  3 -> 11 [size =\"10545152\"]\n  3 -> 17 [size =\"10545152\"]\n  4 [size=\"58903040\", alpha=\"0.00\", expect_size=\"23561216\"] \n  4 -> 15 [size =\"23561216\"]\n  4 -> 17 [size =\"23561216\"]\n  5 [size=\"59801600\", alpha=\"0.10\", expect_size=\"23920640\"] \n  5 -> 11 [size =\"23920640\"]\n  5 -> 15 [size =\"23920640\"]\n  5 -> 16 [size =\"23920640\"]\n  6 [size=\"38295040\", alpha=\"0.14\", expect_size=\"15318016\"] \n  6 -> 11 [size =\"15318016\"]\n  6 -> 13 [size =\"15318016\"]\n  6 -> 16 [size =\"15318016\"]\n  6 -> 17 [size =\"15318016\"]\n  7 [size=\"92659200\", alpha=\"0.04\", expect_size=\"37063680\"] \n  7 -> 11 [size =\"37063680\"]\n  7 -> 14 [size =\"37063680\"]\n  8 [size=\"22786560\", alpha=\"0.13\", expect_size=\"9114624\"] \n  8 -> 11 [size =\"9114624\"]\n  8 -> 17 [size =\"9114624\"]\n  9 [size=\"36149760\", alpha=\"0.03\", expect_size=\"14459904\"] \n  9 -> 11 [size =\"14459904\"]\n  9 -> 15 [size =\"14459904\"]\n  9 -> 16 [size =\"14459904\"]\n  10 [size=\"80250880\", alpha=\"0.13\", expect_size=\"32100352\"] \n  10 -> 12 [size =\"32100352\"]\n  10 -> 16 [size =\"32100352\"]\n  10 -> 17 [size =\"32100352\"]\n  11 [size=\"71843840\", alpha=\"0.03\", expect_size=\"28737536\"] \n  11 -> 18 [size =\"28737536\"]\n  11 -> 19 [size =\"28737536\"]\n  11 -> 20 [size =\"28737536\"]\n  12 [size=\"106772480\", alpha=\"0.13\", expect_size=\"42708992\"] \n  12 -> 18 [size =\"42708992\"]\n  12 -> 19 [size =\"42708992\"]\n  12 -> 20 [size =\"42708992\"]\n  13 [size=\"25507840\", alpha=\"0.13\", expect_size=\"10203136\"] \n  13 -> 18 [size =\"10203136\"]\n  13 -> 19 [size =\"10203136\"]\n  13 -> 20 [size =\"10203136\"]\n  14 [size=\"60531200\", alpha=\"0.10\", expect_size=\"24212480\"] \n  14 -> 18 [size =\"24212480\"]\n  14 -> 19 [size =\"24212480\"]\n  14 -> 20 [size =\"24212480\"]\n  15 [size=\"62064640\", alpha=\"0.13\", expect_size=\"24825856\"] \n  15 -> 18 [size =\"24825856\"]\n  15 -> 19 [size =\"24825856\"]\n  15 -> 20 [size =\"24825856\"]\n  16 [size=\"121136640\", alpha=\"0.19\", expect_size=\"48454656\"] \n  16 -> 20 [size =\"48454656\"]\n  17 [size=\"83509760\", alpha=\"0.05\", expect_size=\"33403904\"] \n  17 -> 19 [size =\"33403904\"]\n  17 -> 20 [size =\"33403904\"]\n  18 [size=\"105113600\", alpha=\"0.03\", expect_size=\"42045440\"] \n  19 [size=\"63726080\", alpha=\"0.08\", expect_size=\"25490432\"] \n  20 [size=\"84119040\", alpha=\"0.09\", expect_size=\"33647616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93442560\", alpha=\"0.18\", expect_size=\"37377024\"] \n  1 -> 4 [size =\"37377024\"]\n  1 -> 5 [size =\"37377024\"]\n  2 [size=\"46279680\", alpha=\"0.02\", expect_size=\"18511872\"] \n  2 -> 4 [size =\"18511872\"]\n  2 -> 5 [size =\"18511872\"]\n  3 [size=\"94507520\", alpha=\"0.10\", expect_size=\"37803008\"] \n  3 -> 4 [size =\"37803008\"]\n  3 -> 5 [size =\"37803008\"]\n  3 -> 6 [size =\"37803008\"]\n  3 -> 7 [size =\"37803008\"]\n  4 [size=\"50142720\", alpha=\"0.01\", expect_size=\"20057088\"] \n  4 -> 8 [size =\"20057088\"]\n  4 -> 9 [size =\"20057088\"]\n  5 [size=\"24716800\", alpha=\"0.06\", expect_size=\"9886720\"] \n  5 -> 8 [size =\"9886720\"]\n  6 [size=\"46231040\", alpha=\"0.18\", expect_size=\"18492416\"] \n  6 -> 8 [size =\"18492416\"]\n  6 -> 9 [size =\"18492416\"]\n  7 [size=\"17656320\", alpha=\"0.11\", expect_size=\"7062528\"] \n  7 -> 8 [size =\"7062528\"]\n  7 -> 9 [size =\"7062528\"]\n  8 [size=\"81863680\", alpha=\"0.16\", expect_size=\"32745472\"] \n  8 -> 10 [size =\"32745472\"]\n  8 -> 11 [size =\"32745472\"]\n  8 -> 12 [size =\"32745472\"]\n  8 -> 13 [size =\"32745472\"]\n  9 [size=\"107097600\", alpha=\"0.12\", expect_size=\"42839040\"] \n  9 -> 10 [size =\"42839040\"]\n  9 -> 11 [size =\"42839040\"]\n  9 -> 12 [size =\"42839040\"]\n  10 [size=\"110968320\", alpha=\"0.20\", expect_size=\"44387328\"] \n  10 -> 15 [size =\"44387328\"]\n  10 -> 15 [size =\"44387328\"]\n  10 -> 16 [size =\"44387328\"]\n  11 [size=\"79866880\", alpha=\"0.01\", expect_size=\"31946752\"] \n  11 -> 14 [size =\"31946752\"]\n  12 [size=\"70492160\", alpha=\"0.12\", expect_size=\"28196864\"] \n  12 -> 14 [size =\"28196864\"]\n  12 -> 15 [size =\"28196864\"]\n  13 [size=\"84518400\", alpha=\"0.01\", expect_size=\"33807360\"] \n  13 -> 14 [size =\"33807360\"]\n  13 -> 15 [size =\"33807360\"]\n  13 -> 16 [size =\"33807360\"]\n  14 [size=\"24862720\", alpha=\"0.10\", expect_size=\"9945088\"] \n  14 -> 19 [size =\"9945088\"]\n  14 -> 19 [size =\"9945088\"]\n  14 -> 20 [size =\"9945088\"]\n  15 [size=\"28072960\", alpha=\"0.04\", expect_size=\"11229184\"] \n  15 -> 17 [size =\"11229184\"]\n  15 -> 18 [size =\"11229184\"]\n  15 -> 20 [size =\"11229184\"]\n  16 [size=\"66240000\", alpha=\"0.07\", expect_size=\"26496000\"] \n  16 -> 17 [size =\"26496000\"]\n  16 -> 19 [size =\"26496000\"]\n  16 -> 20 [size =\"26496000\"]\n  17 [size=\"57167360\", alpha=\"0.05\", expect_size=\"22866944\"] \n  18 [size=\"123975680\", alpha=\"0.14\", expect_size=\"49590272\"] \n  19 [size=\"100177920\", alpha=\"0.13\", expect_size=\"40071168\"] \n  20 [size=\"52418560\", alpha=\"0.07\", expect_size=\"20967424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77018453\", alpha=\"0.04\", expect_size=\"23105536\"] \n  1 -> 14 [size =\"23105536\"]\n  1 -> 15 [size =\"23105536\"]\n  1 -> 16 [size =\"23105536\"]\n  1 -> 17 [size =\"23105536\"]\n  2 [size=\"160136533\", alpha=\"0.01\", expect_size=\"48040960\"] \n  3 [size=\"89122133\", alpha=\"0.09\", expect_size=\"26736640\"] \n  3 -> 10 [size =\"26736640\"]\n  3 -> 11 [size =\"26736640\"]\n  3 -> 12 [size =\"26736640\"]\n  4 [size=\"174571520\", alpha=\"0.20\", expect_size=\"52371456\"] \n  4 -> 10 [size =\"52371456\"]\n  4 -> 11 [size =\"52371456\"]\n  4 -> 12 [size =\"52371456\"]\n  5 [size=\"55347200\", alpha=\"0.01\", expect_size=\"16604160\"] \n  5 -> 10 [size =\"16604160\"]\n  5 -> 12 [size =\"16604160\"]\n  6 [size=\"173847893\", alpha=\"0.20\", expect_size=\"52154368\"] \n  6 -> 10 [size =\"52154368\"]\n  6 -> 16 [size =\"52154368\"]\n  6 -> 17 [size =\"52154368\"]\n  7 [size=\"80489813\", alpha=\"0.13\", expect_size=\"24146944\"] \n  7 -> 11 [size =\"24146944\"]\n  7 -> 13 [size =\"24146944\"]\n  7 -> 17 [size =\"24146944\"]\n  8 [size=\"97931947\", alpha=\"0.10\", expect_size=\"29379584\"] \n  8 -> 13 [size =\"29379584\"]\n  8 -> 15 [size =\"29379584\"]\n  8 -> 17 [size =\"29379584\"]\n  9 [size=\"173250560\", alpha=\"0.09\", expect_size=\"51975168\"] \n  9 -> 11 [size =\"51975168\"]\n  9 -> 15 [size =\"51975168\"]\n  9 -> 16 [size =\"51975168\"]\n  9 -> 17 [size =\"51975168\"]\n  10 [size=\"103748267\", alpha=\"0.11\", expect_size=\"31124480\"] \n  10 -> 20 [size =\"31124480\"]\n  11 [size=\"126033920\", alpha=\"0.16\", expect_size=\"37810176\"] \n  11 -> 19 [size =\"37810176\"]\n  11 -> 20 [size =\"37810176\"]\n  12 [size=\"154678613\", alpha=\"0.10\", expect_size=\"46403584\"] \n  12 -> 18 [size =\"46403584\"]\n  12 -> 19 [size =\"46403584\"]\n  13 [size=\"160372053\", alpha=\"0.11\", expect_size=\"48111616\"] \n  13 -> 18 [size =\"48111616\"]\n  13 -> 19 [size =\"48111616\"]\n  13 -> 20 [size =\"48111616\"]\n  14 [size=\"73557333\", alpha=\"0.02\", expect_size=\"22067200\"] \n  14 -> 18 [size =\"22067200\"]\n  14 -> 20 [size =\"22067200\"]\n  15 [size=\"70970027\", alpha=\"0.19\", expect_size=\"21291008\"] \n  15 -> 18 [size =\"21291008\"]\n  15 -> 19 [size =\"21291008\"]\n  16 [size=\"80817493\", alpha=\"0.19\", expect_size=\"24245248\"] \n  16 -> 18 [size =\"24245248\"]\n  16 -> 19 [size =\"24245248\"]\n  16 -> 20 [size =\"24245248\"]\n  17 [size=\"77042347\", alpha=\"0.01\", expect_size=\"23112704\"] \n  17 -> 18 [size =\"23112704\"]\n  17 -> 19 [size =\"23112704\"]\n  18 [size=\"25770667\", alpha=\"0.07\", expect_size=\"7731200\"] \n  19 [size=\"103731200\", alpha=\"0.10\", expect_size=\"31119360\"] \n  20 [size=\"172462080\", alpha=\"0.18\", expect_size=\"51738624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42234880\", alpha=\"0.02\", expect_size=\"16893952\"] \n  1 -> 13 [size =\"16893952\"]\n  1 -> 14 [size =\"16893952\"]\n  1 -> 17 [size =\"16893952\"]\n  1 -> 19 [size =\"16893952\"]\n  2 [size=\"27712000\", alpha=\"0.05\", expect_size=\"11084800\"] \n  2 -> 13 [size =\"11084800\"]\n  2 -> 20 [size =\"11084800\"]\n  3 [size=\"30492160\", alpha=\"0.11\", expect_size=\"12196864\"] \n  3 -> 20 [size =\"12196864\"]\n  3 -> 20 [size =\"12196864\"]\n  4 [size=\"104202240\", alpha=\"0.03\", expect_size=\"41680896\"] \n  4 -> 14 [size =\"41680896\"]\n  4 -> 15 [size =\"41680896\"]\n  4 -> 20 [size =\"41680896\"]\n  5 [size=\"127219200\", alpha=\"0.15\", expect_size=\"50887680\"] \n  5 -> 20 [size =\"50887680\"]\n  6 [size=\"82933760\", alpha=\"0.06\", expect_size=\"33173504\"] \n  6 -> 15 [size =\"33173504\"]\n  7 [size=\"27466240\", alpha=\"0.10\", expect_size=\"10986496\"] \n  7 -> 14 [size =\"10986496\"]\n  7 -> 16 [size =\"10986496\"]\n  7 -> 19 [size =\"10986496\"]\n  8 [size=\"62351360\", alpha=\"0.16\", expect_size=\"24940544\"] \n  8 -> 12 [size =\"24940544\"]\n  8 -> 13 [size =\"24940544\"]\n  8 -> 14 [size =\"24940544\"]\n  8 -> 15 [size =\"24940544\"]\n  8 -> 19 [size =\"24940544\"]\n  9 [size=\"62243840\", alpha=\"0.07\", expect_size=\"24897536\"] \n  9 -> 13 [size =\"24897536\"]\n  9 -> 18 [size =\"24897536\"]\n  10 [size=\"79884800\", alpha=\"0.05\", expect_size=\"31953920\"] \n  10 -> 12 [size =\"31953920\"]\n  10 -> 13 [size =\"31953920\"]\n  10 -> 14 [size =\"31953920\"]\n  10 -> 19 [size =\"31953920\"]\n  11 [size=\"74053120\", alpha=\"0.06\", expect_size=\"29621248\"] \n  11 -> 14 [size =\"29621248\"]\n  11 -> 19 [size =\"29621248\"]\n  11 -> 20 [size =\"29621248\"]\n  12 [size=\"88256000\", alpha=\"0.08\", expect_size=\"35302400\"] \n  13 [size=\"118622720\", alpha=\"0.11\", expect_size=\"47449088\"] \n  14 [size=\"67635200\", alpha=\"0.07\", expect_size=\"27054080\"] \n  15 [size=\"85849600\", alpha=\"0.20\", expect_size=\"34339840\"] \n  16 [size=\"53429760\", alpha=\"0.07\", expect_size=\"21371904\"] \n  17 [size=\"89013760\", alpha=\"0.07\", expect_size=\"35605504\"] \n  18 [size=\"30681600\", alpha=\"0.17\", expect_size=\"12272640\"] \n  19 [size=\"122711040\", alpha=\"0.04\", expect_size=\"49084416\"] \n  20 [size=\"44756480\", alpha=\"0.10\", expect_size=\"17902592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137434453\", alpha=\"0.18\", expect_size=\"41230336\"] \n  1 -> 2 [size =\"41230336\"]\n  2 [size=\"41898667\", alpha=\"0.15\", expect_size=\"12569600\"] \n  2 -> 3 [size =\"12569600\"]\n  3 [size=\"69519360\", alpha=\"0.10\", expect_size=\"20855808\"] \n  3 -> 4 [size =\"20855808\"]\n  4 [size=\"125634560\", alpha=\"0.03\", expect_size=\"37690368\"] \n  4 -> 5 [size =\"37690368\"]\n  5 [size=\"90344107\", alpha=\"0.16\", expect_size=\"27103232\"] \n  5 -> 6 [size =\"27103232\"]\n  6 [size=\"88320000\", alpha=\"0.03\", expect_size=\"26496000\"] \n  6 -> 7 [size =\"26496000\"]\n  7 [size=\"64081920\", alpha=\"0.09\", expect_size=\"19224576\"] \n  7 -> 8 [size =\"19224576\"]\n  8 [size=\"156064427\", alpha=\"0.01\", expect_size=\"46819328\"] \n  8 -> 9 [size =\"46819328\"]\n  9 [size=\"38993920\", alpha=\"0.03\", expect_size=\"11698176\"] \n  9 -> 10 [size =\"11698176\"]\n  10 [size=\"52473173\", alpha=\"0.18\", expect_size=\"15741952\"] \n  10 -> 11 [size =\"15741952\"]\n  11 [size=\"71673173\", alpha=\"0.20\", expect_size=\"21501952\"] \n  11 -> 12 [size =\"21501952\"]\n  12 [size=\"57081173\", alpha=\"0.08\", expect_size=\"17124352\"] \n  12 -> 13 [size =\"17124352\"]\n  13 [size=\"172537173\", alpha=\"0.04\", expect_size=\"51761152\"] \n  13 -> 14 [size =\"51761152\"]\n  14 [size=\"96805547\", alpha=\"0.04\", expect_size=\"29041664\"] \n  14 -> 15 [size =\"29041664\"]\n  15 [size=\"122408960\", alpha=\"0.11\", expect_size=\"36722688\"] \n  15 -> 16 [size =\"36722688\"]\n  16 [size=\"93842773\", alpha=\"0.09\", expect_size=\"28152832\"] \n  16 -> 17 [size =\"28152832\"]\n  17 [size=\"119869440\", alpha=\"0.02\", expect_size=\"35960832\"] \n  17 -> 18 [size =\"35960832\"]\n  18 [size=\"34140160\", alpha=\"0.18\", expect_size=\"10242048\"] \n  18 -> 19 [size =\"10242048\"]\n  19 [size=\"42554027\", alpha=\"0.02\", expect_size=\"12766208\"] \n  19 -> 20 [size =\"12766208\"]\n  20 [size=\"62443520\", alpha=\"0.09\", expect_size=\"18733056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64207360\", alpha=\"0.12\", expect_size=\"25682944\"] \n  1 -> 3 [size =\"25682944\"]\n  2 [size=\"22499840\", alpha=\"0.03\", expect_size=\"8999936\"] \n  3 [size=\"68270080\", alpha=\"0.01\", expect_size=\"27308032\"] \n  3 -> 4 [size =\"27308032\"]\n  4 [size=\"99264000\", alpha=\"0.16\", expect_size=\"39705600\"] \n  4 -> 5 [size =\"39705600\"]\n  4 -> 6 [size =\"39705600\"]\n  5 [size=\"40563200\", alpha=\"0.12\", expect_size=\"16225280\"] \n  5 -> 7 [size =\"16225280\"]\n  5 -> 8 [size =\"16225280\"]\n  6 [size=\"75456000\", alpha=\"0.11\", expect_size=\"30182400\"] \n  6 -> 8 [size =\"30182400\"]\n  7 [size=\"121338880\", alpha=\"0.03\", expect_size=\"48535552\"] \n  8 [size=\"77025280\", alpha=\"0.03\", expect_size=\"30810112\"] \n  8 -> 9 [size =\"30810112\"]\n  9 [size=\"38842880\", alpha=\"0.20\", expect_size=\"15537152\"] \n  9 -> 10 [size =\"15537152\"]\n  10 [size=\"73832960\", alpha=\"0.05\", expect_size=\"29533184\"] \n  10 -> 11 [size =\"29533184\"]\n  10 -> 12 [size =\"29533184\"]\n  11 [size=\"77568000\", alpha=\"0.08\", expect_size=\"31027200\"] \n  11 -> 13 [size =\"31027200\"]\n  12 [size=\"28590080\", alpha=\"0.15\", expect_size=\"11436032\"] \n  12 -> 13 [size =\"11436032\"]\n  13 [size=\"47239680\", alpha=\"0.12\", expect_size=\"18895872\"] \n  13 -> 14 [size =\"18895872\"]\n  13 -> 15 [size =\"18895872\"]\n  14 [size=\"55736320\", alpha=\"0.13\", expect_size=\"22294528\"] \n  15 [size=\"30781440\", alpha=\"0.13\", expect_size=\"12312576\"] \n  15 -> 16 [size =\"12312576\"]\n  16 [size=\"99532800\", alpha=\"0.02\", expect_size=\"39813120\"] \n  16 -> 17 [size =\"39813120\"]\n  16 -> 18 [size =\"39813120\"]\n  17 [size=\"45145600\", alpha=\"0.13\", expect_size=\"18058240\"] \n  18 [size=\"60042240\", alpha=\"0.10\", expect_size=\"24016896\"] \n  18 -> 19 [size =\"24016896\"]\n  19 [size=\"76231680\", alpha=\"0.10\", expect_size=\"30492672\"] \n  19 -> 20 [size =\"30492672\"]\n  20 [size=\"75745280\", alpha=\"0.02\", expect_size=\"30298112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85241856\", alpha=\"0.10\", expect_size=\"42620928\"] \n  1 -> 10 [size =\"42620928\"]\n  1 -> 12 [size =\"42620928\"]\n  1 -> 14 [size =\"42620928\"]\n  1 -> 15 [size =\"42620928\"]\n  1 -> 16 [size =\"42620928\"]\n  1 -> 17 [size =\"42620928\"]\n  2 [size=\"16588800\", alpha=\"0.17\", expect_size=\"8294400\"] \n  2 -> 10 [size =\"8294400\"]\n  2 -> 12 [size =\"8294400\"]\n  2 -> 14 [size =\"8294400\"]\n  2 -> 15 [size =\"8294400\"]\n  3 [size=\"53276672\", alpha=\"0.18\", expect_size=\"26638336\"] \n  3 -> 10 [size =\"26638336\"]\n  3 -> 12 [size =\"26638336\"]\n  3 -> 14 [size =\"26638336\"]\n  3 -> 15 [size =\"26638336\"]\n  3 -> 16 [size =\"26638336\"]\n  3 -> 17 [size =\"26638336\"]\n  4 [size=\"94914560\", alpha=\"0.18\", expect_size=\"47457280\"] \n  4 -> 10 [size =\"47457280\"]\n  4 -> 14 [size =\"47457280\"]\n  4 -> 14 [size =\"47457280\"]\n  4 -> 17 [size =\"47457280\"]\n  5 [size=\"103383040\", alpha=\"0.13\", expect_size=\"51691520\"] \n  5 -> 10 [size =\"51691520\"]\n  5 -> 11 [size =\"51691520\"]\n  5 -> 16 [size =\"51691520\"]\n  5 -> 17 [size =\"51691520\"]\n  6 [size=\"23412736\", alpha=\"0.18\", expect_size=\"11706368\"] \n  6 -> 10 [size =\"11706368\"]\n  6 -> 12 [size =\"11706368\"]\n  6 -> 15 [size =\"11706368\"]\n  7 [size=\"29999104\", alpha=\"0.08\", expect_size=\"14999552\"] \n  7 -> 12 [size =\"14999552\"]\n  7 -> 14 [size =\"14999552\"]\n  7 -> 16 [size =\"14999552\"]\n  8 [size=\"45088768\", alpha=\"0.05\", expect_size=\"22544384\"] \n  8 -> 11 [size =\"22544384\"]\n  8 -> 13 [size =\"22544384\"]\n  8 -> 15 [size =\"22544384\"]\n  8 -> 16 [size =\"22544384\"]\n  8 -> 17 [size =\"22544384\"]\n  9 [size=\"70619136\", alpha=\"0.06\", expect_size=\"35309568\"] \n  9 -> 10 [size =\"35309568\"]\n  9 -> 13 [size =\"35309568\"]\n  9 -> 14 [size =\"35309568\"]\n  9 -> 15 [size =\"35309568\"]\n  10 [size=\"77871104\", alpha=\"0.18\", expect_size=\"38935552\"] \n  10 -> 19 [size =\"38935552\"]\n  10 -> 20 [size =\"38935552\"]\n  11 [size=\"26187776\", alpha=\"0.15\", expect_size=\"13093888\"] \n  11 -> 19 [size =\"13093888\"]\n  12 [size=\"73472000\", alpha=\"0.14\", expect_size=\"36736000\"] \n  12 -> 18 [size =\"36736000\"]\n  12 -> 19 [size =\"36736000\"]\n  12 -> 20 [size =\"36736000\"]\n  13 [size=\"60471296\", alpha=\"0.16\", expect_size=\"30235648\"] \n  13 -> 18 [size =\"30235648\"]\n  13 -> 20 [size =\"30235648\"]\n  14 [size=\"52123648\", alpha=\"0.03\", expect_size=\"26061824\"] \n  14 -> 18 [size =\"26061824\"]\n  14 -> 19 [size =\"26061824\"]\n  15 [size=\"44959744\", alpha=\"0.02\", expect_size=\"22479872\"] \n  15 -> 18 [size =\"22479872\"]\n  15 -> 20 [size =\"22479872\"]\n  16 [size=\"10768384\", alpha=\"0.00\", expect_size=\"5384192\"] \n  16 -> 18 [size =\"5384192\"]\n  16 -> 20 [size =\"5384192\"]\n  17 [size=\"95512576\", alpha=\"0.06\", expect_size=\"47756288\"] \n  17 -> 18 [size =\"47756288\"]\n  17 -> 20 [size =\"47756288\"]\n  18 [size=\"37613568\", alpha=\"0.00\", expect_size=\"18806784\"] \n  19 [size=\"60026880\", alpha=\"0.14\", expect_size=\"30013440\"] \n  20 [size=\"88354816\", alpha=\"0.05\", expect_size=\"44177408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161556480\", alpha=\"0.06\", expect_size=\"48466944\"] \n  1 -> 2 [size =\"48466944\"]\n  2 [size=\"123897173\", alpha=\"0.15\", expect_size=\"37169152\"] \n  2 -> 3 [size =\"37169152\"]\n  3 [size=\"104772267\", alpha=\"0.14\", expect_size=\"31431680\"] \n  3 -> 4 [size =\"31431680\"]\n  4 [size=\"40028160\", alpha=\"0.03\", expect_size=\"12008448\"] \n  4 -> 5 [size =\"12008448\"]\n  4 -> 6 [size =\"12008448\"]\n  5 [size=\"44912640\", alpha=\"0.18\", expect_size=\"13473792\"] \n  5 -> 7 [size =\"13473792\"]\n  6 [size=\"166669653\", alpha=\"0.19\", expect_size=\"50000896\"] \n  7 [size=\"76885333\", alpha=\"0.08\", expect_size=\"23065600\"] \n  7 -> 8 [size =\"23065600\"]\n  7 -> 9 [size =\"23065600\"]\n  8 [size=\"33597440\", alpha=\"0.04\", expect_size=\"10079232\"] \n  8 -> 10 [size =\"10079232\"]\n  9 [size=\"37969920\", alpha=\"0.17\", expect_size=\"11390976\"] \n  10 [size=\"136256853\", alpha=\"0.11\", expect_size=\"40877056\"] \n  10 -> 11 [size =\"40877056\"]\n  10 -> 12 [size =\"40877056\"]\n  11 [size=\"130819413\", alpha=\"0.19\", expect_size=\"39245824\"] \n  11 -> 13 [size =\"39245824\"]\n  12 [size=\"23125333\", alpha=\"0.10\", expect_size=\"6937600\"] \n  12 -> 13 [size =\"6937600\"]\n  12 -> 14 [size =\"6937600\"]\n  13 [size=\"144749227\", alpha=\"0.16\", expect_size=\"43424768\"] \n  13 -> 15 [size =\"43424768\"]\n  13 -> 16 [size =\"43424768\"]\n  14 [size=\"101195093\", alpha=\"0.13\", expect_size=\"30358528\"] \n  14 -> 15 [size =\"30358528\"]\n  14 -> 16 [size =\"30358528\"]\n  15 [size=\"125842773\", alpha=\"0.04\", expect_size=\"37752832\"] \n  15 -> 17 [size =\"37752832\"]\n  16 [size=\"109329067\", alpha=\"0.14\", expect_size=\"32798720\"] \n  17 [size=\"105198933\", alpha=\"0.04\", expect_size=\"31559680\"] \n  17 -> 18 [size =\"31559680\"]\n  17 -> 19 [size =\"31559680\"]\n  18 [size=\"169826987\", alpha=\"0.04\", expect_size=\"50948096\"] \n  19 [size=\"44520107\", alpha=\"0.03\", expect_size=\"13356032\"] \n  19 -> 20 [size =\"13356032\"]\n  20 [size=\"18237440\", alpha=\"0.07\", expect_size=\"5471232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76326912\", alpha=\"0.03\", expect_size=\"38163456\"] \n  1 -> 2 [size =\"38163456\"]\n  2 [size=\"46655488\", alpha=\"0.02\", expect_size=\"23327744\"] \n  2 -> 3 [size =\"23327744\"]\n  3 [size=\"66285568\", alpha=\"0.02\", expect_size=\"33142784\"] \n  3 -> 4 [size =\"33142784\"]\n  4 [size=\"17385472\", alpha=\"0.07\", expect_size=\"8692736\"] \n  4 -> 5 [size =\"8692736\"]\n  5 [size=\"88614912\", alpha=\"0.09\", expect_size=\"44307456\"] \n  5 -> 6 [size =\"44307456\"]\n  6 [size=\"50124800\", alpha=\"0.19\", expect_size=\"25062400\"] \n  6 -> 7 [size =\"25062400\"]\n  7 [size=\"13977600\", alpha=\"0.15\", expect_size=\"6988800\"] \n  7 -> 8 [size =\"6988800\"]\n  8 [size=\"74631168\", alpha=\"0.05\", expect_size=\"37315584\"] \n  8 -> 9 [size =\"37315584\"]\n  9 [size=\"33818624\", alpha=\"0.12\", expect_size=\"16909312\"] \n  9 -> 10 [size =\"16909312\"]\n  10 [size=\"97679360\", alpha=\"0.10\", expect_size=\"48839680\"] \n  10 -> 11 [size =\"48839680\"]\n  11 [size=\"59428864\", alpha=\"0.09\", expect_size=\"29714432\"] \n  11 -> 12 [size =\"29714432\"]\n  12 [size=\"71305216\", alpha=\"0.05\", expect_size=\"35652608\"] \n  12 -> 13 [size =\"35652608\"]\n  13 [size=\"81848320\", alpha=\"0.03\", expect_size=\"40924160\"] \n  13 -> 14 [size =\"40924160\"]\n  14 [size=\"88977408\", alpha=\"0.17\", expect_size=\"44488704\"] \n  14 -> 15 [size =\"44488704\"]\n  15 [size=\"29509632\", alpha=\"0.15\", expect_size=\"14754816\"] \n  15 -> 16 [size =\"14754816\"]\n  16 [size=\"71573504\", alpha=\"0.10\", expect_size=\"35786752\"] \n  16 -> 17 [size =\"35786752\"]\n  17 [size=\"67651584\", alpha=\"0.16\", expect_size=\"33825792\"] \n  17 -> 18 [size =\"33825792\"]\n  18 [size=\"44554240\", alpha=\"0.04\", expect_size=\"22277120\"] \n  18 -> 19 [size =\"22277120\"]\n  19 [size=\"69160960\", alpha=\"0.01\", expect_size=\"34580480\"] \n  19 -> 20 [size =\"34580480\"]\n  20 [size=\"30507008\", alpha=\"0.11\", expect_size=\"15253504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135939413\", alpha=\"0.05\", expect_size=\"40781824\"] \n  2 [size=\"144855040\", alpha=\"0.17\", expect_size=\"43456512\"] \n  2 -> 3 [size =\"43456512\"]\n  3 [size=\"25132373\", alpha=\"0.12\", expect_size=\"7539712\"] \n  3 -> 4 [size =\"7539712\"]\n  4 [size=\"59023360\", alpha=\"0.10\", expect_size=\"17707008\"] \n  4 -> 5 [size =\"17707008\"]\n  5 [size=\"148640427\", alpha=\"0.04\", expect_size=\"44592128\"] \n  5 -> 6 [size =\"44592128\"]\n  6 [size=\"165048320\", alpha=\"0.06\", expect_size=\"49514496\"] \n  6 -> 7 [size =\"49514496\"]\n  7 [size=\"50694827\", alpha=\"0.15\", expect_size=\"15208448\"] \n  7 -> 8 [size =\"15208448\"]\n  7 -> 9 [size =\"15208448\"]\n  8 [size=\"102816427\", alpha=\"0.09\", expect_size=\"30844928\"] \n  8 -> 10 [size =\"30844928\"]\n  8 -> 11 [size =\"30844928\"]\n  9 [size=\"55845547\", alpha=\"0.12\", expect_size=\"16753664\"] \n  10 [size=\"117172907\", alpha=\"0.15\", expect_size=\"35151872\"] \n  10 -> 13 [size =\"35151872\"]\n  11 [size=\"98553173\", alpha=\"0.16\", expect_size=\"29565952\"] \n  11 -> 12 [size =\"29565952\"]\n  12 [size=\"135082667\", alpha=\"0.04\", expect_size=\"40524800\"] \n  12 -> 14 [size =\"40524800\"]\n  13 [size=\"110264320\", alpha=\"0.05\", expect_size=\"33079296\"] \n  13 -> 15 [size =\"33079296\"]\n  14 [size=\"51213653\", alpha=\"0.06\", expect_size=\"15364096\"] \n  15 [size=\"131252907\", alpha=\"0.02\", expect_size=\"39375872\"] \n  15 -> 16 [size =\"39375872\"]\n  16 [size=\"162344960\", alpha=\"0.07\", expect_size=\"48703488\"] \n  16 -> 17 [size =\"48703488\"]\n  17 [size=\"48650240\", alpha=\"0.17\", expect_size=\"14595072\"] \n  17 -> 18 [size =\"14595072\"]\n  18 [size=\"164365653\", alpha=\"0.01\", expect_size=\"49309696\"] \n  18 -> 19 [size =\"49309696\"]\n  19 [size=\"76410880\", alpha=\"0.05\", expect_size=\"22923264\"] \n  19 -> 20 [size =\"22923264\"]\n  20 [size=\"170840747\", alpha=\"0.15\", expect_size=\"51252224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115804160\", alpha=\"0.16\", expect_size=\"46321664\"] \n  1 -> 13 [size =\"46321664\"]\n  1 -> 15 [size =\"46321664\"]\n  1 -> 17 [size =\"46321664\"]\n  1 -> 19 [size =\"46321664\"]\n  2 [size=\"103224320\", alpha=\"0.16\", expect_size=\"41289728\"] \n  2 -> 12 [size =\"41289728\"]\n  2 -> 14 [size =\"41289728\"]\n  2 -> 17 [size =\"41289728\"]\n  2 -> 20 [size =\"41289728\"]\n  3 [size=\"107668480\", alpha=\"0.13\", expect_size=\"43067392\"] \n  3 -> 14 [size =\"43067392\"]\n  3 -> 18 [size =\"43067392\"]\n  3 -> 20 [size =\"43067392\"]\n  4 [size=\"95813120\", alpha=\"0.15\", expect_size=\"38325248\"] \n  4 -> 12 [size =\"38325248\"]\n  4 -> 13 [size =\"38325248\"]\n  4 -> 14 [size =\"38325248\"]\n  4 -> 18 [size =\"38325248\"]\n  4 -> 19 [size =\"38325248\"]\n  4 -> 20 [size =\"38325248\"]\n  5 [size=\"113387520\", alpha=\"0.08\", expect_size=\"45355008\"] \n  5 -> 12 [size =\"45355008\"]\n  5 -> 13 [size =\"45355008\"]\n  5 -> 14 [size =\"45355008\"]\n  5 -> 15 [size =\"45355008\"]\n  6 [size=\"100820480\", alpha=\"0.05\", expect_size=\"40328192\"] \n  6 -> 12 [size =\"40328192\"]\n  6 -> 14 [size =\"40328192\"]\n  6 -> 15 [size =\"40328192\"]\n  6 -> 18 [size =\"40328192\"]\n  6 -> 20 [size =\"40328192\"]\n  7 [size=\"127160320\", alpha=\"0.08\", expect_size=\"50864128\"] \n  7 -> 13 [size =\"50864128\"]\n  7 -> 15 [size =\"50864128\"]\n  7 -> 18 [size =\"50864128\"]\n  7 -> 19 [size =\"50864128\"]\n  7 -> 20 [size =\"50864128\"]\n  8 [size=\"53619200\", alpha=\"0.10\", expect_size=\"21447680\"] \n  8 -> 19 [size =\"21447680\"]\n  9 [size=\"60441600\", alpha=\"0.18\", expect_size=\"24176640\"] \n  9 -> 15 [size =\"24176640\"]\n  9 -> 16 [size =\"24176640\"]\n  9 -> 19 [size =\"24176640\"]\n  9 -> 20 [size =\"24176640\"]\n  10 [size=\"106749440\", alpha=\"0.03\", expect_size=\"42699776\"] \n  10 -> 12 [size =\"42699776\"]\n  10 -> 14 [size =\"42699776\"]\n  10 -> 15 [size =\"42699776\"]\n  10 -> 20 [size =\"42699776\"]\n  11 [size=\"36037120\", alpha=\"0.20\", expect_size=\"14414848\"] \n  11 -> 12 [size =\"14414848\"]\n  11 -> 14 [size =\"14414848\"]\n  11 -> 15 [size =\"14414848\"]\n  11 -> 20 [size =\"14414848\"]\n  12 [size=\"14886400\", alpha=\"0.09\", expect_size=\"5954560\"] \n  13 [size=\"107878400\", alpha=\"0.12\", expect_size=\"43151360\"] \n  14 [size=\"69002240\", alpha=\"0.14\", expect_size=\"27600896\"] \n  15 [size=\"41041920\", alpha=\"0.17\", expect_size=\"16416768\"] \n  16 [size=\"87014400\", alpha=\"0.10\", expect_size=\"34805760\"] \n  17 [size=\"113751040\", alpha=\"0.03\", expect_size=\"45500416\"] \n  18 [size=\"45265920\", alpha=\"0.07\", expect_size=\"18106368\"] \n  19 [size=\"105262080\", alpha=\"0.11\", expect_size=\"42104832\"] \n  20 [size=\"96079360\", alpha=\"0.14\", expect_size=\"38431744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128983040\", alpha=\"0.04\", expect_size=\"51593216\"] \n  1 -> 14 [size =\"51593216\"]\n  1 -> 16 [size =\"51593216\"]\n  2 [size=\"97233920\", alpha=\"0.18\", expect_size=\"38893568\"] \n  2 -> 14 [size =\"38893568\"]\n  2 -> 17 [size =\"38893568\"]\n  2 -> 18 [size =\"38893568\"]\n  2 -> 20 [size =\"38893568\"]\n  3 [size=\"121809920\", alpha=\"0.14\", expect_size=\"48723968\"] \n  3 -> 14 [size =\"48723968\"]\n  4 [size=\"17277440\", alpha=\"0.08\", expect_size=\"6910976\"] \n  4 -> 14 [size =\"6910976\"]\n  4 -> 15 [size =\"6910976\"]\n  4 -> 20 [size =\"6910976\"]\n  5 [size=\"53870080\", alpha=\"0.15\", expect_size=\"21548032\"] \n  5 -> 15 [size =\"21548032\"]\n  5 -> 18 [size =\"21548032\"]\n  5 -> 19 [size =\"21548032\"]\n  6 [size=\"46899200\", alpha=\"0.01\", expect_size=\"18759680\"] \n  6 -> 16 [size =\"18759680\"]\n  6 -> 18 [size =\"18759680\"]\n  6 -> 19 [size =\"18759680\"]\n  6 -> 20 [size =\"18759680\"]\n  7 [size=\"87239680\", alpha=\"0.17\", expect_size=\"34895872\"] \n  7 -> 18 [size =\"34895872\"]\n  7 -> 18 [size =\"34895872\"]\n  7 -> 20 [size =\"34895872\"]\n  8 [size=\"84526080\", alpha=\"0.20\", expect_size=\"33810432\"] \n  8 -> 15 [size =\"33810432\"]\n  8 -> 16 [size =\"33810432\"]\n  9 [size=\"112663040\", alpha=\"0.03\", expect_size=\"45065216\"] \n  9 -> 15 [size =\"45065216\"]\n  9 -> 16 [size =\"45065216\"]\n  9 -> 20 [size =\"45065216\"]\n  10 [size=\"125012480\", alpha=\"0.12\", expect_size=\"50004992\"] \n  10 -> 16 [size =\"50004992\"]\n  10 -> 18 [size =\"50004992\"]\n  11 [size=\"93332480\", alpha=\"0.12\", expect_size=\"37332992\"] \n  11 -> 14 [size =\"37332992\"]\n  11 -> 20 [size =\"37332992\"]\n  12 [size=\"116259840\", alpha=\"0.05\", expect_size=\"46503936\"] \n  12 -> 17 [size =\"46503936\"]\n  12 -> 20 [size =\"46503936\"]\n  13 [size=\"102699520\", alpha=\"0.01\", expect_size=\"41079808\"] \n  13 -> 16 [size =\"41079808\"]\n  13 -> 17 [size =\"41079808\"]\n  13 -> 18 [size =\"41079808\"]\n  14 [size=\"67000320\", alpha=\"0.10\", expect_size=\"26800128\"] \n  15 [size=\"111367680\", alpha=\"0.01\", expect_size=\"44547072\"] \n  16 [size=\"83586560\", alpha=\"0.03\", expect_size=\"33434624\"] \n  17 [size=\"91171840\", alpha=\"0.08\", expect_size=\"36468736\"] \n  18 [size=\"72529920\", alpha=\"0.12\", expect_size=\"29011968\"] \n  19 [size=\"71078400\", alpha=\"0.04\", expect_size=\"28431360\"] \n  20 [size=\"86650880\", alpha=\"0.12\", expect_size=\"34660352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68433920\", alpha=\"0.12\", expect_size=\"20530176\"] \n  1 -> 3 [size =\"20530176\"]\n  1 -> 4 [size =\"20530176\"]\n  2 [size=\"66167467\", alpha=\"0.08\", expect_size=\"19850240\"] \n  2 -> 4 [size =\"19850240\"]\n  3 [size=\"138117120\", alpha=\"0.05\", expect_size=\"41435136\"] \n  3 -> 5 [size =\"41435136\"]\n  4 [size=\"149708800\", alpha=\"0.09\", expect_size=\"44912640\"] \n  4 -> 5 [size =\"44912640\"]\n  4 -> 6 [size =\"44912640\"]\n  5 [size=\"57671680\", alpha=\"0.16\", expect_size=\"17301504\"] \n  5 -> 7 [size =\"17301504\"]\n  6 [size=\"106697387\", alpha=\"0.09\", expect_size=\"32009216\"] \n  6 -> 7 [size =\"32009216\"]\n  7 [size=\"36894720\", alpha=\"0.12\", expect_size=\"11068416\"] \n  7 -> 8 [size =\"11068416\"]\n  7 -> 9 [size =\"11068416\"]\n  8 [size=\"125088427\", alpha=\"0.10\", expect_size=\"37526528\"] \n  9 [size=\"42205867\", alpha=\"0.09\", expect_size=\"12661760\"] \n  9 -> 10 [size =\"12661760\"]\n  10 [size=\"75823787\", alpha=\"0.14\", expect_size=\"22747136\"] \n  10 -> 11 [size =\"22747136\"]\n  10 -> 12 [size =\"22747136\"]\n  11 [size=\"150766933\", alpha=\"0.04\", expect_size=\"45230080\"] \n  12 [size=\"91583147\", alpha=\"0.13\", expect_size=\"27474944\"] \n  12 -> 13 [size =\"27474944\"]\n  13 [size=\"151821653\", alpha=\"0.10\", expect_size=\"45546496\"] \n  13 -> 14 [size =\"45546496\"]\n  14 [size=\"32494933\", alpha=\"0.03\", expect_size=\"9748480\"] \n  14 -> 15 [size =\"9748480\"]\n  14 -> 16 [size =\"9748480\"]\n  15 [size=\"101451093\", alpha=\"0.03\", expect_size=\"30435328\"] \n  15 -> 17 [size =\"30435328\"]\n  16 [size=\"71120213\", alpha=\"0.05\", expect_size=\"21336064\"] \n  16 -> 17 [size =\"21336064\"]\n  17 [size=\"144619520\", alpha=\"0.19\", expect_size=\"43385856\"] \n  17 -> 18 [size =\"43385856\"]\n  18 [size=\"82124800\", alpha=\"0.16\", expect_size=\"24637440\"] \n  18 -> 19 [size =\"24637440\"]\n  19 [size=\"161058133\", alpha=\"0.14\", expect_size=\"48317440\"] \n  19 -> 20 [size =\"48317440\"]\n  20 [size=\"78329173\", alpha=\"0.18\", expect_size=\"23498752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36047360\", alpha=\"0.09\", expect_size=\"14418944\"] \n  1 -> 17 [size =\"14418944\"]\n  1 -> 18 [size =\"14418944\"]\n  2 [size=\"24734720\", alpha=\"0.11\", expect_size=\"9893888\"] \n  2 -> 15 [size =\"9893888\"]\n  2 -> 19 [size =\"9893888\"]\n  3 [size=\"89349120\", alpha=\"0.15\", expect_size=\"35739648\"] \n  3 -> 15 [size =\"35739648\"]\n  3 -> 18 [size =\"35739648\"]\n  3 -> 19 [size =\"35739648\"]\n  4 [size=\"94115840\", alpha=\"0.02\", expect_size=\"37646336\"] \n  4 -> 15 [size =\"37646336\"]\n  4 -> 20 [size =\"37646336\"]\n  5 [size=\"109473280\", alpha=\"0.10\", expect_size=\"43789312\"] \n  5 -> 14 [size =\"43789312\"]\n  5 -> 16 [size =\"43789312\"]\n  6 [size=\"54382080\", alpha=\"0.04\", expect_size=\"21752832\"] \n  6 -> 16 [size =\"21752832\"]\n  6 -> 17 [size =\"21752832\"]\n  7 [size=\"122342400\", alpha=\"0.13\", expect_size=\"48936960\"] \n  7 -> 15 [size =\"48936960\"]\n  7 -> 16 [size =\"48936960\"]\n  7 -> 18 [size =\"48936960\"]\n  7 -> 19 [size =\"48936960\"]\n  8 [size=\"24921600\", alpha=\"0.18\", expect_size=\"9968640\"] \n  8 -> 16 [size =\"9968640\"]\n  8 -> 19 [size =\"9968640\"]\n  9 [size=\"95191040\", alpha=\"0.10\", expect_size=\"38076416\"] \n  9 -> 15 [size =\"38076416\"]\n  9 -> 19 [size =\"38076416\"]\n  10 [size=\"39047680\", alpha=\"0.18\", expect_size=\"15619072\"] \n  10 -> 15 [size =\"15619072\"]\n  10 -> 17 [size =\"15619072\"]\n  10 -> 20 [size =\"15619072\"]\n  11 [size=\"84743680\", alpha=\"0.04\", expect_size=\"33897472\"] \n  11 -> 19 [size =\"33897472\"]\n  11 -> 20 [size =\"33897472\"]\n  12 [size=\"18065920\", alpha=\"0.06\", expect_size=\"7226368\"] \n  12 -> 14 [size =\"7226368\"]\n  12 -> 17 [size =\"7226368\"]\n  13 [size=\"85324800\", alpha=\"0.09\", expect_size=\"34129920\"] \n  13 -> 17 [size =\"34129920\"]\n  14 [size=\"54781440\", alpha=\"0.09\", expect_size=\"21912576\"] \n  15 [size=\"65395200\", alpha=\"0.18\", expect_size=\"26158080\"] \n  16 [size=\"124224000\", alpha=\"0.05\", expect_size=\"49689600\"] \n  17 [size=\"32279040\", alpha=\"0.15\", expect_size=\"12911616\"] \n  18 [size=\"110535680\", alpha=\"0.07\", expect_size=\"44214272\"] \n  19 [size=\"100672000\", alpha=\"0.15\", expect_size=\"40268800\"] \n  20 [size=\"43456000\", alpha=\"0.12\", expect_size=\"17382400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38197248\", alpha=\"0.06\", expect_size=\"19098624\"] \n  1 -> 11 [size =\"19098624\"]\n  1 -> 12 [size =\"19098624\"]\n  1 -> 13 [size =\"19098624\"]\n  1 -> 14 [size =\"19098624\"]\n  1 -> 16 [size =\"19098624\"]\n  1 -> 18 [size =\"19098624\"]\n  2 [size=\"13588480\", alpha=\"0.13\", expect_size=\"6794240\"] \n  2 -> 15 [size =\"6794240\"]\n  2 -> 16 [size =\"6794240\"]\n  2 -> 17 [size =\"6794240\"]\n  3 [size=\"81125376\", alpha=\"0.15\", expect_size=\"40562688\"] \n  3 -> 13 [size =\"40562688\"]\n  3 -> 14 [size =\"40562688\"]\n  3 -> 15 [size =\"40562688\"]\n  3 -> 16 [size =\"40562688\"]\n  3 -> 17 [size =\"40562688\"]\n  4 [size=\"57675776\", alpha=\"0.04\", expect_size=\"28837888\"] \n  4 -> 12 [size =\"28837888\"]\n  4 -> 13 [size =\"28837888\"]\n  4 -> 14 [size =\"28837888\"]\n  4 -> 15 [size =\"28837888\"]\n  4 -> 16 [size =\"28837888\"]\n  4 -> 17 [size =\"28837888\"]\n  4 -> 18 [size =\"28837888\"]\n  5 [size=\"37627904\", alpha=\"0.07\", expect_size=\"18813952\"] \n  5 -> 12 [size =\"18813952\"]\n  5 -> 16 [size =\"18813952\"]\n  5 -> 19 [size =\"18813952\"]\n  5 -> 20 [size =\"18813952\"]\n  6 [size=\"91975680\", alpha=\"0.01\", expect_size=\"45987840\"] \n  6 -> 12 [size =\"45987840\"]\n  6 -> 18 [size =\"45987840\"]\n  7 [size=\"62662656\", alpha=\"0.01\", expect_size=\"31331328\"] \n  7 -> 11 [size =\"31331328\"]\n  7 -> 16 [size =\"31331328\"]\n  7 -> 19 [size =\"31331328\"]\n  8 [size=\"40792064\", alpha=\"0.07\", expect_size=\"20396032\"] \n  8 -> 12 [size =\"20396032\"]\n  8 -> 19 [size =\"20396032\"]\n  9 [size=\"18982912\", alpha=\"0.13\", expect_size=\"9491456\"] \n  9 -> 11 [size =\"9491456\"]\n  9 -> 18 [size =\"9491456\"]\n  9 -> 19 [size =\"9491456\"]\n  9 -> 20 [size =\"9491456\"]\n  10 [size=\"40439808\", alpha=\"0.15\", expect_size=\"20219904\"] \n  10 -> 11 [size =\"20219904\"]\n  10 -> 14 [size =\"20219904\"]\n  10 -> 17 [size =\"20219904\"]\n  10 -> 20 [size =\"20219904\"]\n  11 [size=\"60047360\", alpha=\"0.04\", expect_size=\"30023680\"] \n  12 [size=\"87982080\", alpha=\"0.00\", expect_size=\"43991040\"] \n  13 [size=\"55152640\", alpha=\"0.17\", expect_size=\"27576320\"] \n  14 [size=\"31602688\", alpha=\"0.13\", expect_size=\"15801344\"] \n  15 [size=\"48795648\", alpha=\"0.10\", expect_size=\"24397824\"] \n  16 [size=\"81688576\", alpha=\"0.04\", expect_size=\"40844288\"] \n  17 [size=\"84371456\", alpha=\"0.06\", expect_size=\"42185728\"] \n  18 [size=\"89118720\", alpha=\"0.17\", expect_size=\"44559360\"] \n  19 [size=\"28045312\", alpha=\"0.02\", expect_size=\"14022656\"] \n  20 [size=\"91631616\", alpha=\"0.03\", expect_size=\"45815808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37460480\", alpha=\"0.19\", expect_size=\"14984192\"] \n  1 -> 2 [size =\"14984192\"]\n  2 [size=\"21800960\", alpha=\"0.06\", expect_size=\"8720384\"] \n  2 -> 3 [size =\"8720384\"]\n  3 [size=\"74629120\", alpha=\"0.17\", expect_size=\"29851648\"] \n  3 -> 4 [size =\"29851648\"]\n  4 [size=\"67246080\", alpha=\"0.04\", expect_size=\"26898432\"] \n  4 -> 5 [size =\"26898432\"]\n  5 [size=\"130480640\", alpha=\"0.05\", expect_size=\"52192256\"] \n  5 -> 6 [size =\"52192256\"]\n  6 [size=\"91133440\", alpha=\"0.06\", expect_size=\"36453376\"] \n  6 -> 7 [size =\"36453376\"]\n  7 [size=\"61043200\", alpha=\"0.16\", expect_size=\"24417280\"] \n  7 -> 8 [size =\"24417280\"]\n  8 [size=\"93186560\", alpha=\"0.18\", expect_size=\"37274624\"] \n  8 -> 9 [size =\"37274624\"]\n  9 [size=\"127313920\", alpha=\"0.03\", expect_size=\"50925568\"] \n  9 -> 10 [size =\"50925568\"]\n  10 [size=\"34810880\", alpha=\"0.06\", expect_size=\"13924352\"] \n  10 -> 11 [size =\"13924352\"]\n  11 [size=\"76907520\", alpha=\"0.10\", expect_size=\"30763008\"] \n  11 -> 12 [size =\"30763008\"]\n  12 [size=\"72363520\", alpha=\"0.20\", expect_size=\"28945408\"] \n  12 -> 13 [size =\"28945408\"]\n  13 [size=\"109875200\", alpha=\"0.13\", expect_size=\"43950080\"] \n  13 -> 14 [size =\"43950080\"]\n  14 [size=\"94133760\", alpha=\"0.10\", expect_size=\"37653504\"] \n  14 -> 15 [size =\"37653504\"]\n  15 [size=\"115064320\", alpha=\"0.04\", expect_size=\"46025728\"] \n  15 -> 16 [size =\"46025728\"]\n  16 [size=\"24698880\", alpha=\"0.08\", expect_size=\"9879552\"] \n  16 -> 17 [size =\"9879552\"]\n  17 [size=\"60080640\", alpha=\"0.09\", expect_size=\"24032256\"] \n  17 -> 18 [size =\"24032256\"]\n  18 [size=\"34252800\", alpha=\"0.07\", expect_size=\"13701120\"] \n  18 -> 19 [size =\"13701120\"]\n  19 [size=\"22886400\", alpha=\"0.10\", expect_size=\"9154560\"] \n  19 -> 20 [size =\"9154560\"]\n  20 [size=\"42565120\", alpha=\"0.12\", expect_size=\"17026048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39456768\", alpha=\"0.07\", expect_size=\"19728384\"] \n  1 -> 16 [size =\"19728384\"]\n  1 -> 20 [size =\"19728384\"]\n  2 [size=\"79038464\", alpha=\"0.17\", expect_size=\"39519232\"] \n  2 -> 16 [size =\"39519232\"]\n  2 -> 18 [size =\"39519232\"]\n  2 -> 19 [size =\"39519232\"]\n  3 [size=\"41584640\", alpha=\"0.17\", expect_size=\"20792320\"] \n  3 -> 18 [size =\"20792320\"]\n  3 -> 18 [size =\"20792320\"]\n  4 [size=\"81250304\", alpha=\"0.05\", expect_size=\"40625152\"] \n  4 -> 16 [size =\"40625152\"]\n  4 -> 17 [size =\"40625152\"]\n  4 -> 18 [size =\"40625152\"]\n  4 -> 19 [size =\"40625152\"]\n  4 -> 20 [size =\"40625152\"]\n  5 [size=\"95750144\", alpha=\"0.16\", expect_size=\"47875072\"] \n  5 -> 16 [size =\"47875072\"]\n  5 -> 20 [size =\"47875072\"]\n  6 [size=\"23840768\", alpha=\"0.16\", expect_size=\"11920384\"] \n  6 -> 16 [size =\"11920384\"]\n  6 -> 18 [size =\"11920384\"]\n  6 -> 20 [size =\"11920384\"]\n  7 [size=\"35305472\", alpha=\"0.08\", expect_size=\"17652736\"] \n  7 -> 14 [size =\"17652736\"]\n  7 -> 16 [size =\"17652736\"]\n  7 -> 20 [size =\"17652736\"]\n  8 [size=\"78632960\", alpha=\"0.04\", expect_size=\"39316480\"] \n  8 -> 15 [size =\"39316480\"]\n  8 -> 16 [size =\"39316480\"]\n  8 -> 18 [size =\"39316480\"]\n  8 -> 20 [size =\"39316480\"]\n  9 [size=\"18096128\", alpha=\"0.19\", expect_size=\"9048064\"] \n  9 -> 16 [size =\"9048064\"]\n  9 -> 18 [size =\"9048064\"]\n  9 -> 18 [size =\"9048064\"]\n  9 -> 20 [size =\"9048064\"]\n  10 [size=\"85471232\", alpha=\"0.07\", expect_size=\"42735616\"] \n  10 -> 18 [size =\"42735616\"]\n  10 -> 19 [size =\"42735616\"]\n  11 [size=\"42383360\", alpha=\"0.14\", expect_size=\"21191680\"] \n  11 -> 14 [size =\"21191680\"]\n  11 -> 16 [size =\"21191680\"]\n  11 -> 18 [size =\"21191680\"]\n  12 [size=\"76638208\", alpha=\"0.14\", expect_size=\"38319104\"] \n  12 -> 14 [size =\"38319104\"]\n  12 -> 16 [size =\"38319104\"]\n  12 -> 18 [size =\"38319104\"]\n  13 [size=\"63365120\", alpha=\"0.08\", expect_size=\"31682560\"] \n  13 -> 14 [size =\"31682560\"]\n  13 -> 16 [size =\"31682560\"]\n  13 -> 18 [size =\"31682560\"]\n  14 [size=\"48064512\", alpha=\"0.14\", expect_size=\"24032256\"] \n  15 [size=\"70971392\", alpha=\"0.04\", expect_size=\"35485696\"] \n  16 [size=\"53590016\", alpha=\"0.17\", expect_size=\"26795008\"] \n  17 [size=\"35733504\", alpha=\"0.19\", expect_size=\"17866752\"] \n  18 [size=\"72484864\", alpha=\"0.08\", expect_size=\"36242432\"] \n  19 [size=\"92567552\", alpha=\"0.14\", expect_size=\"46283776\"] \n  20 [size=\"88893440\", alpha=\"0.12\", expect_size=\"44446720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122260480\", alpha=\"0.15\", expect_size=\"48904192\"] \n  1 -> 4 [size =\"48904192\"]\n  2 [size=\"93603840\", alpha=\"0.19\", expect_size=\"37441536\"] \n  2 -> 3 [size =\"37441536\"]\n  3 [size=\"73080320\", alpha=\"0.07\", expect_size=\"29232128\"] \n  3 -> 5 [size =\"29232128\"]\n  3 -> 6 [size =\"29232128\"]\n  4 [size=\"107504640\", alpha=\"0.16\", expect_size=\"43001856\"] \n  4 -> 6 [size =\"43001856\"]\n  5 [size=\"68467200\", alpha=\"0.19\", expect_size=\"27386880\"] \n  5 -> 8 [size =\"27386880\"]\n  6 [size=\"20167680\", alpha=\"0.02\", expect_size=\"8067072\"] \n  6 -> 7 [size =\"8067072\"]\n  6 -> 8 [size =\"8067072\"]\n  7 [size=\"18905600\", alpha=\"0.19\", expect_size=\"7562240\"] \n  8 [size=\"78709760\", alpha=\"0.20\", expect_size=\"31483904\"] \n  8 -> 9 [size =\"31483904\"]\n  9 [size=\"128199680\", alpha=\"0.16\", expect_size=\"51279872\"] \n  9 -> 10 [size =\"51279872\"]\n  10 [size=\"125204480\", alpha=\"0.12\", expect_size=\"50081792\"] \n  10 -> 11 [size =\"50081792\"]\n  10 -> 12 [size =\"50081792\"]\n  11 [size=\"25246720\", alpha=\"0.10\", expect_size=\"10098688\"] \n  11 -> 13 [size =\"10098688\"]\n  11 -> 14 [size =\"10098688\"]\n  12 [size=\"114915840\", alpha=\"0.02\", expect_size=\"45966336\"] \n  12 -> 14 [size =\"45966336\"]\n  13 [size=\"106419200\", alpha=\"0.16\", expect_size=\"42567680\"] \n  13 -> 15 [size =\"42567680\"]\n  13 -> 16 [size =\"42567680\"]\n  14 [size=\"29895680\", alpha=\"0.03\", expect_size=\"11958272\"] \n  14 -> 16 [size =\"11958272\"]\n  15 [size=\"126205440\", alpha=\"0.19\", expect_size=\"50482176\"] \n  16 [size=\"119370240\", alpha=\"0.10\", expect_size=\"47748096\"] \n  16 -> 17 [size =\"47748096\"]\n  17 [size=\"129779200\", alpha=\"0.11\", expect_size=\"51911680\"] \n  17 -> 18 [size =\"51911680\"]\n  17 -> 19 [size =\"51911680\"]\n  18 [size=\"124029440\", alpha=\"0.07\", expect_size=\"49611776\"] \n  19 [size=\"122472960\", alpha=\"0.18\", expect_size=\"48989184\"] \n  19 -> 20 [size =\"48989184\"]\n  20 [size=\"101603840\", alpha=\"0.13\", expect_size=\"40641536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70785707\", alpha=\"0.17\", expect_size=\"21235712\"] \n  1 -> 14 [size =\"21235712\"]\n  1 -> 15 [size =\"21235712\"]\n  1 -> 18 [size =\"21235712\"]\n  2 [size=\"98054827\", alpha=\"0.12\", expect_size=\"29416448\"] \n  2 -> 12 [size =\"29416448\"]\n  2 -> 13 [size =\"29416448\"]\n  2 -> 14 [size =\"29416448\"]\n  2 -> 15 [size =\"29416448\"]\n  3 [size=\"68171093\", alpha=\"0.20\", expect_size=\"20451328\"] \n  3 -> 13 [size =\"20451328\"]\n  3 -> 15 [size =\"20451328\"]\n  4 [size=\"132396373\", alpha=\"0.15\", expect_size=\"39718912\"] \n  4 -> 10 [size =\"39718912\"]\n  4 -> 12 [size =\"39718912\"]\n  4 -> 15 [size =\"39718912\"]\n  4 -> 16 [size =\"39718912\"]\n  4 -> 17 [size =\"39718912\"]\n  4 -> 18 [size =\"39718912\"]\n  5 [size=\"112609280\", alpha=\"0.19\", expect_size=\"33782784\"] \n  5 -> 10 [size =\"33782784\"]\n  5 -> 11 [size =\"33782784\"]\n  5 -> 12 [size =\"33782784\"]\n  5 -> 17 [size =\"33782784\"]\n  5 -> 18 [size =\"33782784\"]\n  5 -> 18 [size =\"33782784\"]\n  6 [size=\"158808747\", alpha=\"0.10\", expect_size=\"47642624\"] \n  6 -> 10 [size =\"47642624\"]\n  6 -> 12 [size =\"47642624\"]\n  6 -> 12 [size =\"47642624\"]\n  6 -> 14 [size =\"47642624\"]\n  6 -> 17 [size =\"47642624\"]\n  7 [size=\"82435413\", alpha=\"0.01\", expect_size=\"24730624\"] \n  7 -> 15 [size =\"24730624\"]\n  7 -> 16 [size =\"24730624\"]\n  7 -> 17 [size =\"24730624\"]\n  8 [size=\"164290560\", alpha=\"0.17\", expect_size=\"49287168\"] \n  8 -> 15 [size =\"49287168\"]\n  8 -> 17 [size =\"49287168\"]\n  8 -> 18 [size =\"49287168\"]\n  9 [size=\"167895040\", alpha=\"0.14\", expect_size=\"50368512\"] \n  9 -> 12 [size =\"50368512\"]\n  9 -> 14 [size =\"50368512\"]\n  9 -> 17 [size =\"50368512\"]\n  9 -> 18 [size =\"50368512\"]\n  10 [size=\"141291520\", alpha=\"0.08\", expect_size=\"42387456\"] \n  10 -> 19 [size =\"42387456\"]\n  11 [size=\"80373760\", alpha=\"0.06\", expect_size=\"24112128\"] \n  12 [size=\"58593280\", alpha=\"0.15\", expect_size=\"17577984\"] \n  13 [size=\"150736213\", alpha=\"0.01\", expect_size=\"45220864\"] \n  13 -> 19 [size =\"45220864\"]\n  14 [size=\"147046400\", alpha=\"0.01\", expect_size=\"44113920\"] \n  14 -> 19 [size =\"44113920\"]\n  14 -> 20 [size =\"44113920\"]\n  15 [size=\"106670080\", alpha=\"0.20\", expect_size=\"32001024\"] \n  15 -> 19 [size =\"32001024\"]\n  16 [size=\"99788800\", alpha=\"0.10\", expect_size=\"29936640\"] \n  16 -> 20 [size =\"29936640\"]\n  17 [size=\"20442453\", alpha=\"0.15\", expect_size=\"6132736\"] \n  18 [size=\"29542400\", alpha=\"0.00\", expect_size=\"8862720\"] \n  18 -> 20 [size =\"8862720\"]\n  19 [size=\"164884480\", alpha=\"0.15\", expect_size=\"49465344\"] \n  20 [size=\"119978667\", alpha=\"0.05\", expect_size=\"35993600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92388693\", alpha=\"0.06\", expect_size=\"27716608\"] \n  1 -> 8 [size =\"27716608\"]\n  1 -> 9 [size =\"27716608\"]\n  1 -> 11 [size =\"27716608\"]\n  2 [size=\"132447573\", alpha=\"0.04\", expect_size=\"39734272\"] \n  2 -> 8 [size =\"39734272\"]\n  2 -> 9 [size =\"39734272\"]\n  2 -> 14 [size =\"39734272\"]\n  3 [size=\"172820480\", alpha=\"0.16\", expect_size=\"51846144\"] \n  3 -> 9 [size =\"51846144\"]\n  3 -> 12 [size =\"51846144\"]\n  3 -> 13 [size =\"51846144\"]\n  4 [size=\"21964800\", alpha=\"0.04\", expect_size=\"6589440\"] \n  4 -> 11 [size =\"6589440\"]\n  4 -> 12 [size =\"6589440\"]\n  4 -> 13 [size =\"6589440\"]\n  5 [size=\"20387840\", alpha=\"0.10\", expect_size=\"6116352\"] \n  5 -> 10 [size =\"6116352\"]\n  5 -> 11 [size =\"6116352\"]\n  6 [size=\"139926187\", alpha=\"0.03\", expect_size=\"41977856\"] \n  6 -> 8 [size =\"41977856\"]\n  6 -> 11 [size =\"41977856\"]\n  6 -> 14 [size =\"41977856\"]\n  7 [size=\"19657387\", alpha=\"0.06\", expect_size=\"5897216\"] \n  7 -> 8 [size =\"5897216\"]\n  7 -> 9 [size =\"5897216\"]\n  7 -> 11 [size =\"5897216\"]\n  8 [size=\"156463787\", alpha=\"0.15\", expect_size=\"46939136\"] \n  8 -> 19 [size =\"46939136\"]\n  8 -> 20 [size =\"46939136\"]\n  9 [size=\"70451200\", alpha=\"0.07\", expect_size=\"21135360\"] \n  9 -> 17 [size =\"21135360\"]\n  9 -> 18 [size =\"21135360\"]\n  9 -> 19 [size =\"21135360\"]\n  9 -> 20 [size =\"21135360\"]\n  10 [size=\"97187840\", alpha=\"0.07\", expect_size=\"29156352\"] \n  10 -> 17 [size =\"29156352\"]\n  10 -> 18 [size =\"29156352\"]\n  10 -> 20 [size =\"29156352\"]\n  11 [size=\"52462933\", alpha=\"0.02\", expect_size=\"15738880\"] \n  11 -> 15 [size =\"15738880\"]\n  11 -> 17 [size =\"15738880\"]\n  12 [size=\"99710293\", alpha=\"0.02\", expect_size=\"29913088\"] \n  12 -> 15 [size =\"29913088\"]\n  12 -> 17 [size =\"29913088\"]\n  12 -> 18 [size =\"29913088\"]\n  12 -> 19 [size =\"29913088\"]\n  13 [size=\"130146987\", alpha=\"0.09\", expect_size=\"39044096\"] \n  13 -> 15 [size =\"39044096\"]\n  13 -> 16 [size =\"39044096\"]\n  13 -> 17 [size =\"39044096\"]\n  13 -> 19 [size =\"39044096\"]\n  13 -> 20 [size =\"39044096\"]\n  14 [size=\"98133333\", alpha=\"0.11\", expect_size=\"29440000\"] \n  14 -> 15 [size =\"29440000\"]\n  14 -> 19 [size =\"29440000\"]\n  15 [size=\"133027840\", alpha=\"0.17\", expect_size=\"39908352\"] \n  16 [size=\"51118080\", alpha=\"0.14\", expect_size=\"15335424\"] \n  17 [size=\"72130560\", alpha=\"0.07\", expect_size=\"21639168\"] \n  18 [size=\"118084267\", alpha=\"0.01\", expect_size=\"35425280\"] \n  19 [size=\"81981440\", alpha=\"0.09\", expect_size=\"24594432\"] \n  20 [size=\"133990400\", alpha=\"0.07\", expect_size=\"40197120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53606400\", alpha=\"0.16\", expect_size=\"26803200\"] \n  1 -> 7 [size =\"26803200\"]\n  1 -> 9 [size =\"26803200\"]\n  2 [size=\"25763840\", alpha=\"0.03\", expect_size=\"12881920\"] \n  2 -> 5 [size =\"12881920\"]\n  2 -> 6 [size =\"12881920\"]\n  3 [size=\"89505792\", alpha=\"0.14\", expect_size=\"44752896\"] \n  3 -> 5 [size =\"44752896\"]\n  3 -> 6 [size =\"44752896\"]\n  4 [size=\"52533248\", alpha=\"0.00\", expect_size=\"26266624\"] \n  4 -> 5 [size =\"26266624\"]\n  4 -> 6 [size =\"26266624\"]\n  4 -> 8 [size =\"26266624\"]\n  4 -> 9 [size =\"26266624\"]\n  5 [size=\"74164224\", alpha=\"0.16\", expect_size=\"37082112\"] \n  5 -> 10 [size =\"37082112\"]\n  5 -> 12 [size =\"37082112\"]\n  6 [size=\"70379520\", alpha=\"0.01\", expect_size=\"35189760\"] \n  6 -> 10 [size =\"35189760\"]\n  6 -> 11 [size =\"35189760\"]\n  7 [size=\"91484160\", alpha=\"0.04\", expect_size=\"45742080\"] \n  7 -> 10 [size =\"45742080\"]\n  7 -> 11 [size =\"45742080\"]\n  7 -> 12 [size =\"45742080\"]\n  8 [size=\"80979968\", alpha=\"0.10\", expect_size=\"40489984\"] \n  8 -> 10 [size =\"40489984\"]\n  9 [size=\"82450432\", alpha=\"0.07\", expect_size=\"41225216\"] \n  9 -> 11 [size =\"41225216\"]\n  10 [size=\"18878464\", alpha=\"0.09\", expect_size=\"9439232\"] \n  10 -> 13 [size =\"9439232\"]\n  10 -> 14 [size =\"9439232\"]\n  10 -> 15 [size =\"9439232\"]\n  11 [size=\"42340352\", alpha=\"0.02\", expect_size=\"21170176\"] \n  11 -> 13 [size =\"21170176\"]\n  12 [size=\"24635392\", alpha=\"0.09\", expect_size=\"12317696\"] \n  12 -> 13 [size =\"12317696\"]\n  12 -> 14 [size =\"12317696\"]\n  12 -> 16 [size =\"12317696\"]\n  13 [size=\"36870144\", alpha=\"0.03\", expect_size=\"18435072\"] \n  13 -> 18 [size =\"18435072\"]\n  14 [size=\"104466432\", alpha=\"0.16\", expect_size=\"52233216\"] \n  14 -> 17 [size =\"52233216\"]\n  14 -> 18 [size =\"52233216\"]\n  15 [size=\"12079104\", alpha=\"0.09\", expect_size=\"6039552\"] \n  15 -> 17 [size =\"6039552\"]\n  16 [size=\"87007232\", alpha=\"0.01\", expect_size=\"43503616\"] \n  17 [size=\"91985920\", alpha=\"0.14\", expect_size=\"45992960\"] \n  17 -> 19 [size =\"45992960\"]\n  17 -> 20 [size =\"45992960\"]\n  18 [size=\"17567744\", alpha=\"0.07\", expect_size=\"8783872\"] \n  18 -> 19 [size =\"8783872\"]\n  19 [size=\"63180800\", alpha=\"0.13\", expect_size=\"31590400\"] \n  20 [size=\"93962240\", alpha=\"0.11\", expect_size=\"46981120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137263787\", alpha=\"0.04\", expect_size=\"41179136\"] \n  1 -> 9 [size =\"41179136\"]\n  1 -> 10 [size =\"41179136\"]\n  1 -> 11 [size =\"41179136\"]\n  2 [size=\"45950293\", alpha=\"0.09\", expect_size=\"13785088\"] \n  2 -> 9 [size =\"13785088\"]\n  2 -> 10 [size =\"13785088\"]\n  2 -> 11 [size =\"13785088\"]\n  2 -> 12 [size =\"13785088\"]\n  3 [size=\"148602880\", alpha=\"0.09\", expect_size=\"44580864\"] \n  3 -> 8 [size =\"44580864\"]\n  3 -> 14 [size =\"44580864\"]\n  3 -> 15 [size =\"44580864\"]\n  4 [size=\"118582613\", alpha=\"0.04\", expect_size=\"35574784\"] \n  4 -> 8 [size =\"35574784\"]\n  4 -> 10 [size =\"35574784\"]\n  4 -> 13 [size =\"35574784\"]\n  4 -> 14 [size =\"35574784\"]\n  4 -> 15 [size =\"35574784\"]\n  5 [size=\"154036907\", alpha=\"0.01\", expect_size=\"46211072\"] \n  5 -> 9 [size =\"46211072\"]\n  5 -> 15 [size =\"46211072\"]\n  6 [size=\"106390187\", alpha=\"0.09\", expect_size=\"31917056\"] \n  6 -> 8 [size =\"31917056\"]\n  6 -> 11 [size =\"31917056\"]\n  6 -> 15 [size =\"31917056\"]\n  7 [size=\"56480427\", alpha=\"0.16\", expect_size=\"16944128\"] \n  7 -> 8 [size =\"16944128\"]\n  8 [size=\"68317867\", alpha=\"0.13\", expect_size=\"20495360\"] \n  8 -> 17 [size =\"20495360\"]\n  8 -> 18 [size =\"20495360\"]\n  8 -> 19 [size =\"20495360\"]\n  9 [size=\"118889813\", alpha=\"0.12\", expect_size=\"35666944\"] \n  9 -> 17 [size =\"35666944\"]\n  10 [size=\"96522240\", alpha=\"0.06\", expect_size=\"28956672\"] \n  10 -> 16 [size =\"28956672\"]\n  10 -> 17 [size =\"28956672\"]\n  10 -> 18 [size =\"28956672\"]\n  11 [size=\"85981867\", alpha=\"0.16\", expect_size=\"25794560\"] \n  12 [size=\"116148907\", alpha=\"0.10\", expect_size=\"34844672\"] \n  12 -> 19 [size =\"34844672\"]\n  12 -> 20 [size =\"34844672\"]\n  13 [size=\"25743360\", alpha=\"0.17\", expect_size=\"7723008\"] \n  13 -> 16 [size =\"7723008\"]\n  13 -> 19 [size =\"7723008\"]\n  14 [size=\"97413120\", alpha=\"0.14\", expect_size=\"29223936\"] \n  14 -> 18 [size =\"29223936\"]\n  14 -> 19 [size =\"29223936\"]\n  15 [size=\"129204907\", alpha=\"0.15\", expect_size=\"38761472\"] \n  15 -> 17 [size =\"38761472\"]\n  15 -> 18 [size =\"38761472\"]\n  16 [size=\"137502720\", alpha=\"0.04\", expect_size=\"41250816\"] \n  17 [size=\"49814187\", alpha=\"0.04\", expect_size=\"14944256\"] \n  18 [size=\"18292053\", alpha=\"0.17\", expect_size=\"5487616\"] \n  19 [size=\"118405120\", alpha=\"0.03\", expect_size=\"35521536\"] \n  20 [size=\"58269013\", alpha=\"0.17\", expect_size=\"17480704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47824896\", alpha=\"0.03\", expect_size=\"23912448\"] \n  1 -> 8 [size =\"23912448\"]\n  1 -> 10 [size =\"23912448\"]\n  1 -> 12 [size =\"23912448\"]\n  1 -> 14 [size =\"23912448\"]\n  1 -> 15 [size =\"23912448\"]\n  1 -> 16 [size =\"23912448\"]\n  2 [size=\"95027200\", alpha=\"0.01\", expect_size=\"47513600\"] \n  2 -> 8 [size =\"47513600\"]\n  2 -> 9 [size =\"47513600\"]\n  2 -> 12 [size =\"47513600\"]\n  2 -> 14 [size =\"47513600\"]\n  2 -> 15 [size =\"47513600\"]\n  2 -> 16 [size =\"47513600\"]\n  3 [size=\"104339456\", alpha=\"0.15\", expect_size=\"52169728\"] \n  3 -> 8 [size =\"52169728\"]\n  3 -> 9 [size =\"52169728\"]\n  3 -> 10 [size =\"52169728\"]\n  3 -> 13 [size =\"52169728\"]\n  3 -> 14 [size =\"52169728\"]\n  3 -> 16 [size =\"52169728\"]\n  4 [size=\"51576832\", alpha=\"0.13\", expect_size=\"25788416\"] \n  4 -> 7 [size =\"25788416\"]\n  4 -> 8 [size =\"25788416\"]\n  4 -> 9 [size =\"25788416\"]\n  4 -> 11 [size =\"25788416\"]\n  4 -> 13 [size =\"25788416\"]\n  4 -> 14 [size =\"25788416\"]\n  4 -> 15 [size =\"25788416\"]\n  4 -> 16 [size =\"25788416\"]\n  5 [size=\"36501504\", alpha=\"0.01\", expect_size=\"18250752\"] \n  5 -> 8 [size =\"18250752\"]\n  5 -> 9 [size =\"18250752\"]\n  5 -> 15 [size =\"18250752\"]\n  5 -> 16 [size =\"18250752\"]\n  6 [size=\"51806208\", alpha=\"0.11\", expect_size=\"25903104\"] \n  6 -> 8 [size =\"25903104\"]\n  6 -> 10 [size =\"25903104\"]\n  6 -> 12 [size =\"25903104\"]\n  6 -> 14 [size =\"25903104\"]\n  6 -> 15 [size =\"25903104\"]\n  6 -> 16 [size =\"25903104\"]\n  7 [size=\"42579968\", alpha=\"0.00\", expect_size=\"21289984\"] \n  7 -> 19 [size =\"21289984\"]\n  7 -> 20 [size =\"21289984\"]\n  8 [size=\"35311616\", alpha=\"0.01\", expect_size=\"17655808\"] \n  8 -> 17 [size =\"17655808\"]\n  8 -> 18 [size =\"17655808\"]\n  8 -> 19 [size =\"17655808\"]\n  9 [size=\"11689984\", alpha=\"0.04\", expect_size=\"5844992\"] \n  9 -> 18 [size =\"5844992\"]\n  9 -> 19 [size =\"5844992\"]\n  10 [size=\"30035968\", alpha=\"0.04\", expect_size=\"15017984\"] \n  10 -> 17 [size =\"15017984\"]\n  11 [size=\"80324608\", alpha=\"0.02\", expect_size=\"40162304\"] \n  11 -> 17 [size =\"40162304\"]\n  11 -> 19 [size =\"40162304\"]\n  11 -> 20 [size =\"40162304\"]\n  12 [size=\"92301312\", alpha=\"0.17\", expect_size=\"46150656\"] \n  12 -> 17 [size =\"46150656\"]\n  12 -> 19 [size =\"46150656\"]\n  13 [size=\"94969856\", alpha=\"0.05\", expect_size=\"47484928\"] \n  13 -> 17 [size =\"47484928\"]\n  13 -> 18 [size =\"47484928\"]\n  13 -> 19 [size =\"47484928\"]\n  13 -> 20 [size =\"47484928\"]\n  14 [size=\"73252864\", alpha=\"0.13\", expect_size=\"36626432\"] \n  14 -> 17 [size =\"36626432\"]\n  14 -> 19 [size =\"36626432\"]\n  15 [size=\"42465280\", alpha=\"0.01\", expect_size=\"21232640\"] \n  15 -> 17 [size =\"21232640\"]\n  15 -> 20 [size =\"21232640\"]\n  16 [size=\"48814080\", alpha=\"0.07\", expect_size=\"24407040\"] \n  16 -> 17 [size =\"24407040\"]\n  16 -> 20 [size =\"24407040\"]\n  17 [size=\"102629376\", alpha=\"0.04\", expect_size=\"51314688\"] \n  18 [size=\"104640512\", alpha=\"0.15\", expect_size=\"52320256\"] \n  19 [size=\"13213696\", alpha=\"0.15\", expect_size=\"6606848\"] \n  20 [size=\"33540096\", alpha=\"0.16\", expect_size=\"16770048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51473067\", alpha=\"0.16\", expect_size=\"15441920\"] \n  1 -> 2 [size =\"15441920\"]\n  2 [size=\"59173547\", alpha=\"0.10\", expect_size=\"17752064\"] \n  2 -> 3 [size =\"17752064\"]\n  3 [size=\"167331840\", alpha=\"0.13\", expect_size=\"50199552\"] \n  3 -> 4 [size =\"50199552\"]\n  4 [size=\"71819947\", alpha=\"0.09\", expect_size=\"21545984\"] \n  4 -> 5 [size =\"21545984\"]\n  5 [size=\"121658027\", alpha=\"0.10\", expect_size=\"36497408\"] \n  5 -> 6 [size =\"36497408\"]\n  6 [size=\"159406080\", alpha=\"0.02\", expect_size=\"47821824\"] \n  6 -> 7 [size =\"47821824\"]\n  7 [size=\"60569600\", alpha=\"0.16\", expect_size=\"18170880\"] \n  7 -> 8 [size =\"18170880\"]\n  8 [size=\"123555840\", alpha=\"0.10\", expect_size=\"37066752\"] \n  8 -> 9 [size =\"37066752\"]\n  9 [size=\"124887040\", alpha=\"0.04\", expect_size=\"37466112\"] \n  9 -> 10 [size =\"37466112\"]\n  10 [size=\"85797547\", alpha=\"0.01\", expect_size=\"25739264\"] \n  10 -> 11 [size =\"25739264\"]\n  11 [size=\"25142613\", alpha=\"0.10\", expect_size=\"7542784\"] \n  11 -> 12 [size =\"7542784\"]\n  12 [size=\"149555200\", alpha=\"0.14\", expect_size=\"44866560\"] \n  12 -> 13 [size =\"44866560\"]\n  13 [size=\"73492480\", alpha=\"0.12\", expect_size=\"22047744\"] \n  13 -> 14 [size =\"22047744\"]\n  14 [size=\"18073600\", alpha=\"0.11\", expect_size=\"5422080\"] \n  14 -> 15 [size =\"5422080\"]\n  15 [size=\"92409173\", alpha=\"0.02\", expect_size=\"27722752\"] \n  15 -> 16 [size =\"27722752\"]\n  16 [size=\"172141227\", alpha=\"0.15\", expect_size=\"51642368\"] \n  16 -> 17 [size =\"51642368\"]\n  17 [size=\"34184533\", alpha=\"0.00\", expect_size=\"10255360\"] \n  17 -> 18 [size =\"10255360\"]\n  18 [size=\"157576533\", alpha=\"0.08\", expect_size=\"47272960\"] \n  18 -> 19 [size =\"47272960\"]\n  19 [size=\"82066773\", alpha=\"0.19\", expect_size=\"24620032\"] \n  19 -> 20 [size =\"24620032\"]\n  20 [size=\"115387733\", alpha=\"0.11\", expect_size=\"34616320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41164800\", alpha=\"0.13\", expect_size=\"12349440\"] \n  1 -> 3 [size =\"12349440\"]\n  2 [size=\"39007573\", alpha=\"0.19\", expect_size=\"11702272\"] \n  3 [size=\"76434773\", alpha=\"0.14\", expect_size=\"22930432\"] \n  3 -> 4 [size =\"22930432\"]\n  3 -> 5 [size =\"22930432\"]\n  4 [size=\"99908267\", alpha=\"0.10\", expect_size=\"29972480\"] \n  4 -> 6 [size =\"29972480\"]\n  5 [size=\"79199573\", alpha=\"0.07\", expect_size=\"23759872\"] \n  6 [size=\"95737173\", alpha=\"0.18\", expect_size=\"28721152\"] \n  6 -> 7 [size =\"28721152\"]\n  7 [size=\"119060480\", alpha=\"0.02\", expect_size=\"35718144\"] \n  7 -> 8 [size =\"35718144\"]\n  7 -> 9 [size =\"35718144\"]\n  8 [size=\"137086293\", alpha=\"0.09\", expect_size=\"41125888\"] \n  9 [size=\"132334933\", alpha=\"0.16\", expect_size=\"39700480\"] \n  9 -> 10 [size =\"39700480\"]\n  10 [size=\"121245013\", alpha=\"0.07\", expect_size=\"36373504\"] \n  10 -> 11 [size =\"36373504\"]\n  10 -> 12 [size =\"36373504\"]\n  11 [size=\"140827307\", alpha=\"0.09\", expect_size=\"42248192\"] \n  11 -> 13 [size =\"42248192\"]\n  12 [size=\"82650453\", alpha=\"0.04\", expect_size=\"24795136\"] \n  13 [size=\"75898880\", alpha=\"0.05\", expect_size=\"22769664\"] \n  13 -> 14 [size =\"22769664\"]\n  14 [size=\"31853227\", alpha=\"0.10\", expect_size=\"9555968\"] \n  14 -> 15 [size =\"9555968\"]\n  14 -> 16 [size =\"9555968\"]\n  15 [size=\"111056213\", alpha=\"0.06\", expect_size=\"33316864\"] \n  15 -> 17 [size =\"33316864\"]\n  16 [size=\"168850773\", alpha=\"0.10\", expect_size=\"50655232\"] \n  17 [size=\"155709440\", alpha=\"0.09\", expect_size=\"46712832\"] \n  17 -> 18 [size =\"46712832\"]\n  17 -> 19 [size =\"46712832\"]\n  18 [size=\"171386880\", alpha=\"0.18\", expect_size=\"51416064\"] \n  19 [size=\"84555093\", alpha=\"0.13\", expect_size=\"25366528\"] \n  19 -> 20 [size =\"25366528\"]\n  20 [size=\"51674453\", alpha=\"0.16\", expect_size=\"15502336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100163584\", alpha=\"0.11\", expect_size=\"50081792\"] \n  1 -> 5 [size =\"50081792\"]\n  1 -> 6 [size =\"50081792\"]\n  2 [size=\"91600896\", alpha=\"0.19\", expect_size=\"45800448\"] \n  2 -> 6 [size =\"45800448\"]\n  2 -> 7 [size =\"45800448\"]\n  2 -> 8 [size =\"45800448\"]\n  3 [size=\"80273408\", alpha=\"0.04\", expect_size=\"40136704\"] \n  3 -> 6 [size =\"40136704\"]\n  3 -> 7 [size =\"40136704\"]\n  3 -> 8 [size =\"40136704\"]\n  3 -> 9 [size =\"40136704\"]\n  4 [size=\"69146624\", alpha=\"0.20\", expect_size=\"34573312\"] \n  4 -> 7 [size =\"34573312\"]\n  5 [size=\"24748032\", alpha=\"0.15\", expect_size=\"12374016\"] \n  6 [size=\"10747904\", alpha=\"0.12\", expect_size=\"5373952\"] \n  6 -> 10 [size =\"5373952\"]\n  6 -> 11 [size =\"5373952\"]\n  7 [size=\"80941056\", alpha=\"0.09\", expect_size=\"40470528\"] \n  7 -> 10 [size =\"40470528\"]\n  7 -> 11 [size =\"40470528\"]\n  7 -> 12 [size =\"40470528\"]\n  8 [size=\"37726208\", alpha=\"0.00\", expect_size=\"18863104\"] \n  8 -> 12 [size =\"18863104\"]\n  9 [size=\"19699712\", alpha=\"0.16\", expect_size=\"9849856\"] \n  9 -> 10 [size =\"9849856\"]\n  9 -> 11 [size =\"9849856\"]\n  9 -> 12 [size =\"9849856\"]\n  10 [size=\"16797696\", alpha=\"0.12\", expect_size=\"8398848\"] \n  10 -> 15 [size =\"8398848\"]\n  11 [size=\"14571520\", alpha=\"0.03\", expect_size=\"7285760\"] \n  11 -> 13 [size =\"7285760\"]\n  11 -> 14 [size =\"7285760\"]\n  11 -> 16 [size =\"7285760\"]\n  12 [size=\"66686976\", alpha=\"0.03\", expect_size=\"33343488\"] \n  13 [size=\"60950528\", alpha=\"0.00\", expect_size=\"30475264\"] \n  13 -> 17 [size =\"30475264\"]\n  13 -> 18 [size =\"30475264\"]\n  13 -> 19 [size =\"30475264\"]\n  14 [size=\"81416192\", alpha=\"0.01\", expect_size=\"40708096\"] \n  14 -> 17 [size =\"40708096\"]\n  14 -> 18 [size =\"40708096\"]\n  14 -> 19 [size =\"40708096\"]\n  14 -> 20 [size =\"40708096\"]\n  15 [size=\"79503360\", alpha=\"0.13\", expect_size=\"39751680\"] \n  15 -> 17 [size =\"39751680\"]\n  15 -> 18 [size =\"39751680\"]\n  15 -> 20 [size =\"39751680\"]\n  16 [size=\"57255936\", alpha=\"0.16\", expect_size=\"28627968\"] \n  16 -> 20 [size =\"28627968\"]\n  17 [size=\"20029440\", alpha=\"0.19\", expect_size=\"10014720\"] \n  18 [size=\"61345792\", alpha=\"0.12\", expect_size=\"30672896\"] \n  19 [size=\"63510528\", alpha=\"0.00\", expect_size=\"31755264\"] \n  20 [size=\"42967040\", alpha=\"0.15\", expect_size=\"21483520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90316800\", alpha=\"0.18\", expect_size=\"27095040\"] \n  1 -> 8 [size =\"27095040\"]\n  1 -> 9 [size =\"27095040\"]\n  1 -> 10 [size =\"27095040\"]\n  1 -> 11 [size =\"27095040\"]\n  1 -> 12 [size =\"27095040\"]\n  1 -> 13 [size =\"27095040\"]\n  1 -> 14 [size =\"27095040\"]\n  1 -> 15 [size =\"27095040\"]\n  2 [size=\"141998080\", alpha=\"0.10\", expect_size=\"42599424\"] \n  2 -> 8 [size =\"42599424\"]\n  2 -> 9 [size =\"42599424\"]\n  2 -> 10 [size =\"42599424\"]\n  2 -> 11 [size =\"42599424\"]\n  2 -> 12 [size =\"42599424\"]\n  2 -> 14 [size =\"42599424\"]\n  2 -> 15 [size =\"42599424\"]\n  2 -> 15 [size =\"42599424\"]\n  3 [size=\"45929813\", alpha=\"0.11\", expect_size=\"13778944\"] \n  3 -> 8 [size =\"13778944\"]\n  3 -> 9 [size =\"13778944\"]\n  3 -> 10 [size =\"13778944\"]\n  3 -> 11 [size =\"13778944\"]\n  3 -> 12 [size =\"13778944\"]\n  3 -> 14 [size =\"13778944\"]\n  4 [size=\"42079573\", alpha=\"0.12\", expect_size=\"12623872\"] \n  4 -> 8 [size =\"12623872\"]\n  4 -> 11 [size =\"12623872\"]\n  4 -> 12 [size =\"12623872\"]\n  4 -> 15 [size =\"12623872\"]\n  5 [size=\"90624000\", alpha=\"0.04\", expect_size=\"27187200\"] \n  5 -> 9 [size =\"27187200\"]\n  5 -> 11 [size =\"27187200\"]\n  5 -> 12 [size =\"27187200\"]\n  5 -> 14 [size =\"27187200\"]\n  5 -> 15 [size =\"27187200\"]\n  6 [size=\"95842987\", alpha=\"0.13\", expect_size=\"28752896\"] \n  6 -> 9 [size =\"28752896\"]\n  6 -> 11 [size =\"28752896\"]\n  6 -> 12 [size =\"28752896\"]\n  6 -> 14 [size =\"28752896\"]\n  6 -> 15 [size =\"28752896\"]\n  7 [size=\"141916160\", alpha=\"0.10\", expect_size=\"42574848\"] \n  7 -> 9 [size =\"42574848\"]\n  7 -> 10 [size =\"42574848\"]\n  7 -> 11 [size =\"42574848\"]\n  7 -> 12 [size =\"42574848\"]\n  7 -> 14 [size =\"42574848\"]\n  7 -> 15 [size =\"42574848\"]\n  8 [size=\"36345173\", alpha=\"0.05\", expect_size=\"10903552\"] \n  8 -> 16 [size =\"10903552\"]\n  8 -> 18 [size =\"10903552\"]\n  8 -> 18 [size =\"10903552\"]\n  9 [size=\"111865173\", alpha=\"0.15\", expect_size=\"33559552\"] \n  9 -> 17 [size =\"33559552\"]\n  9 -> 18 [size =\"33559552\"]\n  9 -> 20 [size =\"33559552\"]\n  10 [size=\"121658027\", alpha=\"0.11\", expect_size=\"36497408\"] \n  10 -> 16 [size =\"36497408\"]\n  10 -> 17 [size =\"36497408\"]\n  10 -> 18 [size =\"36497408\"]\n  10 -> 20 [size =\"36497408\"]\n  11 [size=\"115053227\", alpha=\"0.08\", expect_size=\"34515968\"] \n  11 -> 16 [size =\"34515968\"]\n  11 -> 17 [size =\"34515968\"]\n  11 -> 20 [size =\"34515968\"]\n  12 [size=\"99034453\", alpha=\"0.01\", expect_size=\"29710336\"] \n  12 -> 16 [size =\"29710336\"]\n  12 -> 17 [size =\"29710336\"]\n  12 -> 18 [size =\"29710336\"]\n  12 -> 19 [size =\"29710336\"]\n  13 [size=\"174175573\", alpha=\"0.10\", expect_size=\"52252672\"] \n  13 -> 16 [size =\"52252672\"]\n  14 [size=\"106799787\", alpha=\"0.17\", expect_size=\"32039936\"] \n  14 -> 16 [size =\"32039936\"]\n  14 -> 17 [size =\"32039936\"]\n  14 -> 18 [size =\"32039936\"]\n  15 [size=\"46161920\", alpha=\"0.04\", expect_size=\"13848576\"] \n  15 -> 16 [size =\"13848576\"]\n  15 -> 17 [size =\"13848576\"]\n  15 -> 18 [size =\"13848576\"]\n  16 [size=\"76185600\", alpha=\"0.16\", expect_size=\"22855680\"] \n  17 [size=\"22804480\", alpha=\"0.16\", expect_size=\"6841344\"] \n  18 [size=\"102099627\", alpha=\"0.05\", expect_size=\"30629888\"] \n  19 [size=\"137680213\", alpha=\"0.20\", expect_size=\"41304064\"] \n  20 [size=\"97832960\", alpha=\"0.04\", expect_size=\"29349888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107932160\", alpha=\"0.19\", expect_size=\"43172864\"] \n  1 -> 4 [size =\"43172864\"]\n  2 [size=\"25185280\", alpha=\"0.12\", expect_size=\"10074112\"] \n  2 -> 3 [size =\"10074112\"]\n  3 [size=\"21278720\", alpha=\"0.11\", expect_size=\"8511488\"] \n  4 [size=\"86261760\", alpha=\"0.12\", expect_size=\"34504704\"] \n  4 -> 5 [size =\"34504704\"]\n  4 -> 6 [size =\"34504704\"]\n  5 [size=\"42664960\", alpha=\"0.17\", expect_size=\"17065984\"] \n  5 -> 8 [size =\"17065984\"]\n  6 [size=\"128020480\", alpha=\"0.09\", expect_size=\"51208192\"] \n  6 -> 7 [size =\"51208192\"]\n  7 [size=\"106186240\", alpha=\"0.09\", expect_size=\"42474496\"] \n  7 -> 9 [size =\"42474496\"]\n  8 [size=\"85434880\", alpha=\"0.16\", expect_size=\"34173952\"] \n  9 [size=\"126632960\", alpha=\"0.04\", expect_size=\"50653184\"] \n  9 -> 10 [size =\"50653184\"]\n  9 -> 11 [size =\"50653184\"]\n  10 [size=\"14574080\", alpha=\"0.14\", expect_size=\"5829632\"] \n  10 -> 12 [size =\"5829632\"]\n  11 [size=\"55920640\", alpha=\"0.08\", expect_size=\"22368256\"] \n  12 [size=\"50004480\", alpha=\"0.10\", expect_size=\"20001792\"] \n  12 -> 13 [size =\"20001792\"]\n  13 [size=\"121912320\", alpha=\"0.08\", expect_size=\"48764928\"] \n  13 -> 14 [size =\"48764928\"]\n  14 [size=\"69995520\", alpha=\"0.00\", expect_size=\"27998208\"] \n  14 -> 15 [size =\"27998208\"]\n  15 [size=\"23848960\", alpha=\"0.19\", expect_size=\"9539584\"] \n  15 -> 16 [size =\"9539584\"]\n  16 [size=\"122923520\", alpha=\"0.10\", expect_size=\"49169408\"] \n  16 -> 17 [size =\"49169408\"]\n  17 [size=\"57464320\", alpha=\"0.02\", expect_size=\"22985728\"] \n  17 -> 18 [size =\"22985728\"]\n  18 [size=\"113408000\", alpha=\"0.18\", expect_size=\"45363200\"] \n  18 -> 19 [size =\"45363200\"]\n  19 [size=\"90324480\", alpha=\"0.17\", expect_size=\"36129792\"] \n  19 -> 20 [size =\"36129792\"]\n  20 [size=\"112117760\", alpha=\"0.03\", expect_size=\"44847104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40507392\", alpha=\"0.09\", expect_size=\"20253696\"] \n  1 -> 2 [size =\"20253696\"]\n  2 [size=\"35203072\", alpha=\"0.08\", expect_size=\"17601536\"] \n  2 -> 3 [size =\"17601536\"]\n  3 [size=\"73197568\", alpha=\"0.09\", expect_size=\"36598784\"] \n  3 -> 4 [size =\"36598784\"]\n  4 [size=\"47943680\", alpha=\"0.13\", expect_size=\"23971840\"] \n  4 -> 5 [size =\"23971840\"]\n  5 [size=\"60219392\", alpha=\"0.05\", expect_size=\"30109696\"] \n  5 -> 6 [size =\"30109696\"]\n  6 [size=\"34054144\", alpha=\"0.15\", expect_size=\"17027072\"] \n  6 -> 7 [size =\"17027072\"]\n  7 [size=\"57139200\", alpha=\"0.12\", expect_size=\"28569600\"] \n  7 -> 8 [size =\"28569600\"]\n  8 [size=\"103557120\", alpha=\"0.02\", expect_size=\"51778560\"] \n  8 -> 9 [size =\"51778560\"]\n  9 [size=\"50868224\", alpha=\"0.09\", expect_size=\"25434112\"] \n  9 -> 10 [size =\"25434112\"]\n  10 [size=\"72339456\", alpha=\"0.17\", expect_size=\"36169728\"] \n  10 -> 11 [size =\"36169728\"]\n  11 [size=\"66424832\", alpha=\"0.06\", expect_size=\"33212416\"] \n  11 -> 12 [size =\"33212416\"]\n  12 [size=\"14303232\", alpha=\"0.17\", expect_size=\"7151616\"] \n  12 -> 13 [size =\"7151616\"]\n  13 [size=\"51310592\", alpha=\"0.17\", expect_size=\"25655296\"] \n  13 -> 14 [size =\"25655296\"]\n  14 [size=\"92606464\", alpha=\"0.06\", expect_size=\"46303232\"] \n  14 -> 15 [size =\"46303232\"]\n  15 [size=\"58558464\", alpha=\"0.05\", expect_size=\"29279232\"] \n  15 -> 16 [size =\"29279232\"]\n  16 [size=\"81756160\", alpha=\"0.12\", expect_size=\"40878080\"] \n  16 -> 17 [size =\"40878080\"]\n  17 [size=\"59430912\", alpha=\"0.10\", expect_size=\"29715456\"] \n  17 -> 18 [size =\"29715456\"]\n  18 [size=\"23402496\", alpha=\"0.06\", expect_size=\"11701248\"] \n  18 -> 19 [size =\"11701248\"]\n  19 [size=\"31207424\", alpha=\"0.05\", expect_size=\"15603712\"] \n  19 -> 20 [size =\"15603712\"]\n  20 [size=\"75898880\", alpha=\"0.08\", expect_size=\"37949440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75335680\", alpha=\"0.06\", expect_size=\"30134272\"] \n  2 [size=\"80337920\", alpha=\"0.05\", expect_size=\"32135168\"] \n  2 -> 3 [size =\"32135168\"]\n  2 -> 4 [size =\"32135168\"]\n  3 [size=\"41018880\", alpha=\"0.20\", expect_size=\"16407552\"] \n  4 [size=\"110402560\", alpha=\"0.00\", expect_size=\"44161024\"] \n  4 -> 5 [size =\"44161024\"]\n  4 -> 6 [size =\"44161024\"]\n  5 [size=\"50547200\", alpha=\"0.17\", expect_size=\"20218880\"] \n  5 -> 7 [size =\"20218880\"]\n  6 [size=\"22965760\", alpha=\"0.12\", expect_size=\"9186304\"] \n  7 [size=\"130519040\", alpha=\"0.05\", expect_size=\"52207616\"] \n  7 -> 8 [size =\"52207616\"]\n  7 -> 9 [size =\"52207616\"]\n  8 [size=\"40742400\", alpha=\"0.11\", expect_size=\"16296960\"] \n  8 -> 10 [size =\"16296960\"]\n  9 [size=\"67924480\", alpha=\"0.05\", expect_size=\"27169792\"] \n  9 -> 10 [size =\"27169792\"]\n  10 [size=\"128473600\", alpha=\"0.09\", expect_size=\"51389440\"] \n  10 -> 11 [size =\"51389440\"]\n  11 [size=\"99484160\", alpha=\"0.11\", expect_size=\"39793664\"] \n  11 -> 12 [size =\"39793664\"]\n  11 -> 13 [size =\"39793664\"]\n  12 [size=\"16302080\", alpha=\"0.05\", expect_size=\"6520832\"] \n  12 -> 14 [size =\"6520832\"]\n  12 -> 15 [size =\"6520832\"]\n  13 [size=\"47086080\", alpha=\"0.14\", expect_size=\"18834432\"] \n  14 [size=\"46635520\", alpha=\"0.13\", expect_size=\"18654208\"] \n  14 -> 17 [size =\"18654208\"]\n  15 [size=\"49500160\", alpha=\"0.04\", expect_size=\"19800064\"] \n  15 -> 16 [size =\"19800064\"]\n  16 [size=\"33623040\", alpha=\"0.14\", expect_size=\"13449216\"] \n  17 [size=\"105167360\", alpha=\"0.03\", expect_size=\"42066944\"] \n  17 -> 18 [size =\"42066944\"]\n  18 [size=\"19171840\", alpha=\"0.03\", expect_size=\"7668736\"] \n  18 -> 19 [size =\"7668736\"]\n  19 [size=\"83763200\", alpha=\"0.19\", expect_size=\"33505280\"] \n  19 -> 20 [size =\"33505280\"]\n  20 [size=\"112225280\", alpha=\"0.06\", expect_size=\"44890112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77219840\", alpha=\"0.04\", expect_size=\"23165952\"] \n  1 -> 12 [size =\"23165952\"]\n  1 -> 14 [size =\"23165952\"]\n  1 -> 16 [size =\"23165952\"]\n  2 [size=\"88743253\", alpha=\"0.06\", expect_size=\"26622976\"] \n  2 -> 9 [size =\"26622976\"]\n  2 -> 11 [size =\"26622976\"]\n  2 -> 12 [size =\"26622976\"]\n  2 -> 14 [size =\"26622976\"]\n  3 [size=\"124941653\", alpha=\"0.11\", expect_size=\"37482496\"] \n  3 -> 11 [size =\"37482496\"]\n  3 -> 13 [size =\"37482496\"]\n  3 -> 14 [size =\"37482496\"]\n  4 [size=\"105161387\", alpha=\"0.11\", expect_size=\"31548416\"] \n  4 -> 10 [size =\"31548416\"]\n  4 -> 11 [size =\"31548416\"]\n  4 -> 14 [size =\"31548416\"]\n  5 [size=\"129901227\", alpha=\"0.15\", expect_size=\"38970368\"] \n  5 -> 9 [size =\"38970368\"]\n  5 -> 10 [size =\"38970368\"]\n  5 -> 15 [size =\"38970368\"]\n  5 -> 17 [size =\"38970368\"]\n  6 [size=\"119425707\", alpha=\"0.02\", expect_size=\"35827712\"] \n  6 -> 9 [size =\"35827712\"]\n  6 -> 10 [size =\"35827712\"]\n  6 -> 13 [size =\"35827712\"]\n  6 -> 16 [size =\"35827712\"]\n  6 -> 17 [size =\"35827712\"]\n  7 [size=\"112735573\", alpha=\"0.14\", expect_size=\"33820672\"] \n  7 -> 9 [size =\"33820672\"]\n  7 -> 10 [size =\"33820672\"]\n  7 -> 12 [size =\"33820672\"]\n  7 -> 13 [size =\"33820672\"]\n  7 -> 14 [size =\"33820672\"]\n  7 -> 16 [size =\"33820672\"]\n  8 [size=\"172366507\", alpha=\"0.19\", expect_size=\"51709952\"] \n  8 -> 12 [size =\"51709952\"]\n  9 [size=\"136721067\", alpha=\"0.02\", expect_size=\"41016320\"] \n  9 -> 20 [size =\"41016320\"]\n  10 [size=\"149729280\", alpha=\"0.18\", expect_size=\"44918784\"] \n  10 -> 19 [size =\"44918784\"]\n  11 [size=\"113657173\", alpha=\"0.17\", expect_size=\"34097152\"] \n  11 -> 19 [size =\"34097152\"]\n  12 [size=\"148155733\", alpha=\"0.15\", expect_size=\"44446720\"] \n  13 [size=\"39058773\", alpha=\"0.06\", expect_size=\"11717632\"] \n  13 -> 18 [size =\"11717632\"]\n  13 -> 19 [size =\"11717632\"]\n  14 [size=\"123699200\", alpha=\"0.18\", expect_size=\"37109760\"] \n  14 -> 19 [size =\"37109760\"]\n  15 [size=\"54251520\", alpha=\"0.17\", expect_size=\"16275456\"] \n  15 -> 18 [size =\"16275456\"]\n  15 -> 19 [size =\"16275456\"]\n  16 [size=\"18083840\", alpha=\"0.18\", expect_size=\"5425152\"] \n  16 -> 19 [size =\"5425152\"]\n  17 [size=\"31819093\", alpha=\"0.03\", expect_size=\"9545728\"] \n  18 [size=\"145418240\", alpha=\"0.19\", expect_size=\"43625472\"] \n  19 [size=\"141448533\", alpha=\"0.14\", expect_size=\"42434560\"] \n  20 [size=\"160000000\", alpha=\"0.02\", expect_size=\"48000000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75158187\", alpha=\"0.11\", expect_size=\"22547456\"] \n  1 -> 3 [size =\"22547456\"]\n  1 -> 4 [size =\"22547456\"]\n  2 [size=\"39782400\", alpha=\"0.06\", expect_size=\"11934720\"] \n  3 [size=\"24367787\", alpha=\"0.15\", expect_size=\"7310336\"] \n  3 -> 6 [size =\"7310336\"]\n  4 [size=\"131491840\", alpha=\"0.19\", expect_size=\"39447552\"] \n  4 -> 5 [size =\"39447552\"]\n  5 [size=\"167936000\", alpha=\"0.08\", expect_size=\"50380800\"] \n  5 -> 7 [size =\"50380800\"]\n  6 [size=\"121893547\", alpha=\"0.05\", expect_size=\"36568064\"] \n  7 [size=\"110281387\", alpha=\"0.17\", expect_size=\"33084416\"] \n  7 -> 8 [size =\"33084416\"]\n  7 -> 9 [size =\"33084416\"]\n  8 [size=\"91194027\", alpha=\"0.14\", expect_size=\"27358208\"] \n  8 -> 11 [size =\"27358208\"]\n  9 [size=\"38365867\", alpha=\"0.04\", expect_size=\"11509760\"] \n  9 -> 10 [size =\"11509760\"]\n  10 [size=\"104587947\", alpha=\"0.15\", expect_size=\"31376384\"] \n  10 -> 12 [size =\"31376384\"]\n  11 [size=\"83544747\", alpha=\"0.20\", expect_size=\"25063424\"] \n  12 [size=\"169540267\", alpha=\"0.16\", expect_size=\"50862080\"] \n  12 -> 13 [size =\"50862080\"]\n  12 -> 14 [size =\"50862080\"]\n  13 [size=\"60153173\", alpha=\"0.14\", expect_size=\"18045952\"] \n  14 [size=\"19124907\", alpha=\"0.07\", expect_size=\"5737472\"] \n  14 -> 15 [size =\"5737472\"]\n  15 [size=\"172161707\", alpha=\"0.02\", expect_size=\"51648512\"] \n  15 -> 16 [size =\"51648512\"]\n  16 [size=\"78493013\", alpha=\"0.12\", expect_size=\"23547904\"] \n  16 -> 17 [size =\"23547904\"]\n  16 -> 18 [size =\"23547904\"]\n  17 [size=\"119046827\", alpha=\"0.18\", expect_size=\"35714048\"] \n  17 -> 19 [size =\"35714048\"]\n  18 [size=\"97389227\", alpha=\"0.05\", expect_size=\"29216768\"] \n  18 -> 20 [size =\"29216768\"]\n  19 [size=\"47766187\", alpha=\"0.16\", expect_size=\"14329856\"] \n  20 [size=\"78247253\", alpha=\"0.14\", expect_size=\"23474176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95166464\", alpha=\"0.11\", expect_size=\"47583232\"] \n  1 -> 4 [size =\"47583232\"]\n  1 -> 5 [size =\"47583232\"]\n  1 -> 6 [size =\"47583232\"]\n  2 [size=\"59768832\", alpha=\"0.04\", expect_size=\"29884416\"] \n  2 -> 3 [size =\"29884416\"]\n  2 -> 5 [size =\"29884416\"]\n  2 -> 6 [size =\"29884416\"]\n  2 -> 7 [size =\"29884416\"]\n  3 [size=\"73076736\", alpha=\"0.11\", expect_size=\"36538368\"] \n  4 [size=\"15595520\", alpha=\"0.07\", expect_size=\"7797760\"] \n  4 -> 8 [size =\"7797760\"]\n  4 -> 9 [size =\"7797760\"]\n  5 [size=\"97544192\", alpha=\"0.08\", expect_size=\"48772096\"] \n  5 -> 8 [size =\"48772096\"]\n  5 -> 10 [size =\"48772096\"]\n  6 [size=\"41132032\", alpha=\"0.14\", expect_size=\"20566016\"] \n  6 -> 8 [size =\"20566016\"]\n  6 -> 9 [size =\"20566016\"]\n  7 [size=\"96010240\", alpha=\"0.06\", expect_size=\"48005120\"] \n  8 [size=\"14671872\", alpha=\"0.08\", expect_size=\"7335936\"] \n  8 -> 13 [size =\"7335936\"]\n  9 [size=\"86976512\", alpha=\"0.06\", expect_size=\"43488256\"] \n  9 -> 11 [size =\"43488256\"]\n  9 -> 12 [size =\"43488256\"]\n  9 -> 14 [size =\"43488256\"]\n  10 [size=\"38168576\", alpha=\"0.20\", expect_size=\"19084288\"] \n  10 -> 11 [size =\"19084288\"]\n  10 -> 12 [size =\"19084288\"]\n  10 -> 13 [size =\"19084288\"]\n  10 -> 14 [size =\"19084288\"]\n  11 [size=\"48039936\", alpha=\"0.12\", expect_size=\"24019968\"] \n  11 -> 15 [size =\"24019968\"]\n  11 -> 17 [size =\"24019968\"]\n  11 -> 18 [size =\"24019968\"]\n  12 [size=\"98134016\", alpha=\"0.03\", expect_size=\"49067008\"] \n  12 -> 15 [size =\"49067008\"]\n  12 -> 16 [size =\"49067008\"]\n  13 [size=\"21571584\", alpha=\"0.10\", expect_size=\"10785792\"] \n  13 -> 15 [size =\"10785792\"]\n  13 -> 16 [size =\"10785792\"]\n  13 -> 18 [size =\"10785792\"]\n  14 [size=\"71454720\", alpha=\"0.13\", expect_size=\"35727360\"] \n  14 -> 16 [size =\"35727360\"]\n  14 -> 17 [size =\"35727360\"]\n  14 -> 18 [size =\"35727360\"]\n  15 [size=\"102739968\", alpha=\"0.18\", expect_size=\"51369984\"] \n  15 -> 19 [size =\"51369984\"]\n  15 -> 20 [size =\"51369984\"]\n  16 [size=\"44423168\", alpha=\"0.09\", expect_size=\"22211584\"] \n  17 [size=\"17330176\", alpha=\"0.13\", expect_size=\"8665088\"] \n  17 -> 20 [size =\"8665088\"]\n  18 [size=\"47632384\", alpha=\"0.06\", expect_size=\"23816192\"] \n  19 [size=\"83648512\", alpha=\"0.20\", expect_size=\"41824256\"] \n  20 [size=\"18616320\", alpha=\"0.07\", expect_size=\"9308160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59709440\", alpha=\"0.19\", expect_size=\"29854720\"] \n  1 -> 2 [size =\"29854720\"]\n  2 [size=\"100050944\", alpha=\"0.03\", expect_size=\"50025472\"] \n  2 -> 3 [size =\"50025472\"]\n  3 [size=\"79704064\", alpha=\"0.07\", expect_size=\"39852032\"] \n  3 -> 4 [size =\"39852032\"]\n  4 [size=\"57772032\", alpha=\"0.12\", expect_size=\"28886016\"] \n  4 -> 5 [size =\"28886016\"]\n  5 [size=\"81760256\", alpha=\"0.08\", expect_size=\"40880128\"] \n  5 -> 6 [size =\"40880128\"]\n  6 [size=\"86966272\", alpha=\"0.01\", expect_size=\"43483136\"] \n  6 -> 7 [size =\"43483136\"]\n  7 [size=\"104476672\", alpha=\"0.15\", expect_size=\"52238336\"] \n  7 -> 8 [size =\"52238336\"]\n  8 [size=\"64415744\", alpha=\"0.04\", expect_size=\"32207872\"] \n  8 -> 9 [size =\"32207872\"]\n  9 [size=\"12179456\", alpha=\"0.03\", expect_size=\"6089728\"] \n  9 -> 10 [size =\"6089728\"]\n  10 [size=\"62040064\", alpha=\"0.19\", expect_size=\"31020032\"] \n  10 -> 11 [size =\"31020032\"]\n  11 [size=\"65611776\", alpha=\"0.18\", expect_size=\"32805888\"] \n  11 -> 12 [size =\"32805888\"]\n  12 [size=\"61349888\", alpha=\"0.05\", expect_size=\"30674944\"] \n  12 -> 13 [size =\"30674944\"]\n  13 [size=\"76496896\", alpha=\"0.04\", expect_size=\"38248448\"] \n  13 -> 14 [size =\"38248448\"]\n  14 [size=\"13606912\", alpha=\"0.05\", expect_size=\"6803456\"] \n  14 -> 15 [size =\"6803456\"]\n  15 [size=\"71491584\", alpha=\"0.07\", expect_size=\"35745792\"] \n  15 -> 16 [size =\"35745792\"]\n  16 [size=\"16211968\", alpha=\"0.01\", expect_size=\"8105984\"] \n  16 -> 17 [size =\"8105984\"]\n  17 [size=\"19412992\", alpha=\"0.17\", expect_size=\"9706496\"] \n  17 -> 18 [size =\"9706496\"]\n  18 [size=\"87906304\", alpha=\"0.13\", expect_size=\"43953152\"] \n  18 -> 19 [size =\"43953152\"]\n  19 [size=\"11634688\", alpha=\"0.10\", expect_size=\"5817344\"] \n  19 -> 20 [size =\"5817344\"]\n  20 [size=\"27224064\", alpha=\"0.04\", expect_size=\"13612032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81633280\", alpha=\"0.19\", expect_size=\"32653312\"] \n  2 [size=\"122099200\", alpha=\"0.17\", expect_size=\"48839680\"] \n  3 [size=\"104704000\", alpha=\"0.07\", expect_size=\"41881600\"] \n  4 [size=\"83356160\", alpha=\"0.05\", expect_size=\"33342464\"] \n  5 [size=\"78141440\", alpha=\"0.18\", expect_size=\"31256576\"] \n  6 [size=\"118461440\", alpha=\"0.04\", expect_size=\"47384576\"] \n  7 [size=\"114951680\", alpha=\"0.11\", expect_size=\"45980672\"] \n  8 [size=\"55884800\", alpha=\"0.06\", expect_size=\"22353920\"] \n  9 [size=\"27448320\", alpha=\"0.16\", expect_size=\"10979328\"] \n  10 [size=\"74621440\", alpha=\"0.05\", expect_size=\"29848576\"] \n  11 [size=\"74242560\", alpha=\"0.19\", expect_size=\"29697024\"] \n  12 [size=\"67322880\", alpha=\"0.09\", expect_size=\"26929152\"] \n  13 [size=\"48678400\", alpha=\"0.04\", expect_size=\"19471360\"] \n  14 [size=\"91304960\", alpha=\"0.11\", expect_size=\"36521984\"] \n  15 [size=\"123010560\", alpha=\"0.00\", expect_size=\"49204224\"] \n  16 [size=\"110353920\", alpha=\"0.08\", expect_size=\"44141568\"] \n  17 [size=\"15413760\", alpha=\"0.11\", expect_size=\"6165504\"] \n  18 [size=\"79237120\", alpha=\"0.15\", expect_size=\"31694848\"] \n  19 [size=\"117386240\", alpha=\"0.08\", expect_size=\"46954496\"] \n  20 [size=\"96647680\", alpha=\"0.01\", expect_size=\"38659072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38483968\", alpha=\"0.15\", expect_size=\"19241984\"] \n  1 -> 2 [size =\"19241984\"]\n  2 [size=\"49786880\", alpha=\"0.01\", expect_size=\"24893440\"] \n  2 -> 3 [size =\"24893440\"]\n  3 [size=\"62597120\", alpha=\"0.04\", expect_size=\"31298560\"] \n  3 -> 4 [size =\"31298560\"]\n  4 [size=\"79583232\", alpha=\"0.08\", expect_size=\"39791616\"] \n  4 -> 5 [size =\"39791616\"]\n  5 [size=\"70328320\", alpha=\"0.19\", expect_size=\"35164160\"] \n  5 -> 6 [size =\"35164160\"]\n  6 [size=\"50118656\", alpha=\"0.11\", expect_size=\"25059328\"] \n  6 -> 7 [size =\"25059328\"]\n  7 [size=\"84021248\", alpha=\"0.11\", expect_size=\"42010624\"] \n  7 -> 8 [size =\"42010624\"]\n  8 [size=\"46821376\", alpha=\"0.02\", expect_size=\"23410688\"] \n  8 -> 9 [size =\"23410688\"]\n  9 [size=\"13285376\", alpha=\"0.18\", expect_size=\"6642688\"] \n  9 -> 10 [size =\"6642688\"]\n  10 [size=\"83525632\", alpha=\"0.20\", expect_size=\"41762816\"] \n  10 -> 11 [size =\"41762816\"]\n  11 [size=\"99840000\", alpha=\"0.02\", expect_size=\"49920000\"] \n  11 -> 12 [size =\"49920000\"]\n  12 [size=\"76396544\", alpha=\"0.08\", expect_size=\"38198272\"] \n  12 -> 13 [size =\"38198272\"]\n  13 [size=\"82112512\", alpha=\"0.12\", expect_size=\"41056256\"] \n  13 -> 14 [size =\"41056256\"]\n  14 [size=\"99422208\", alpha=\"0.11\", expect_size=\"49711104\"] \n  14 -> 15 [size =\"49711104\"]\n  15 [size=\"42123264\", alpha=\"0.17\", expect_size=\"21061632\"] \n  15 -> 16 [size =\"21061632\"]\n  16 [size=\"39243776\", alpha=\"0.11\", expect_size=\"19621888\"] \n  16 -> 17 [size =\"19621888\"]\n  17 [size=\"89047040\", alpha=\"0.02\", expect_size=\"44523520\"] \n  17 -> 18 [size =\"44523520\"]\n  18 [size=\"46731264\", alpha=\"0.16\", expect_size=\"23365632\"] \n  18 -> 19 [size =\"23365632\"]\n  19 [size=\"57577472\", alpha=\"0.09\", expect_size=\"28788736\"] \n  19 -> 20 [size =\"28788736\"]\n  20 [size=\"49778688\", alpha=\"0.10\", expect_size=\"24889344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141312000\", alpha=\"0.20\", expect_size=\"42393600\"] \n  1 -> 6 [size =\"42393600\"]\n  2 [size=\"49203200\", alpha=\"0.20\", expect_size=\"14760960\"] \n  2 -> 4 [size =\"14760960\"]\n  2 -> 5 [size =\"14760960\"]\n  3 [size=\"155275947\", alpha=\"0.09\", expect_size=\"46582784\"] \n  4 [size=\"132918613\", alpha=\"0.09\", expect_size=\"39875584\"] \n  4 -> 7 [size =\"39875584\"]\n  4 -> 8 [size =\"39875584\"]\n  4 -> 9 [size =\"39875584\"]\n  5 [size=\"91661653\", alpha=\"0.09\", expect_size=\"27498496\"] \n  5 -> 7 [size =\"27498496\"]\n  5 -> 8 [size =\"27498496\"]\n  6 [size=\"137431040\", alpha=\"0.04\", expect_size=\"41229312\"] \n  6 -> 10 [size =\"41229312\"]\n  7 [size=\"56442880\", alpha=\"0.00\", expect_size=\"16932864\"] \n  7 -> 11 [size =\"16932864\"]\n  7 -> 13 [size =\"16932864\"]\n  8 [size=\"114001920\", alpha=\"0.08\", expect_size=\"34200576\"] \n  8 -> 11 [size =\"34200576\"]\n  8 -> 12 [size =\"34200576\"]\n  8 -> 13 [size =\"34200576\"]\n  9 [size=\"55951360\", alpha=\"0.13\", expect_size=\"16785408\"] \n  9 -> 12 [size =\"16785408\"]\n  10 [size=\"40912213\", alpha=\"0.06\", expect_size=\"12273664\"] \n  10 -> 14 [size =\"12273664\"]\n  11 [size=\"99362133\", alpha=\"0.05\", expect_size=\"29808640\"] \n  12 [size=\"95474347\", alpha=\"0.08\", expect_size=\"28642304\"] \n  12 -> 15 [size =\"28642304\"]\n  12 -> 16 [size =\"28642304\"]\n  12 -> 17 [size =\"28642304\"]\n  13 [size=\"93047467\", alpha=\"0.13\", expect_size=\"27914240\"] \n  13 -> 16 [size =\"27914240\"]\n  13 -> 17 [size =\"27914240\"]\n  13 -> 18 [size =\"27914240\"]\n  14 [size=\"165765120\", alpha=\"0.15\", expect_size=\"49729536\"] \n  15 [size=\"78759253\", alpha=\"0.16\", expect_size=\"23627776\"] \n  15 -> 19 [size =\"23627776\"]\n  16 [size=\"151500800\", alpha=\"0.09\", expect_size=\"45450240\"] \n  16 -> 20 [size =\"45450240\"]\n  17 [size=\"23142400\", alpha=\"0.10\", expect_size=\"6942720\"] \n  18 [size=\"23432533\", alpha=\"0.08\", expect_size=\"7029760\"] \n  18 -> 19 [size =\"7029760\"]\n  18 -> 20 [size =\"7029760\"]\n  19 [size=\"85688320\", alpha=\"0.15\", expect_size=\"25706496\"] \n  20 [size=\"27600213\", alpha=\"0.16\", expect_size=\"8280064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24762368\", alpha=\"0.20\", expect_size=\"12381184\"] \n  2 [size=\"44091392\", alpha=\"0.02\", expect_size=\"22045696\"] \n  2 -> 3 [size =\"22045696\"]\n  3 [size=\"45320192\", alpha=\"0.19\", expect_size=\"22660096\"] \n  3 -> 4 [size =\"22660096\"]\n  4 [size=\"29833216\", alpha=\"0.08\", expect_size=\"14916608\"] \n  4 -> 5 [size =\"14916608\"]\n  4 -> 6 [size =\"14916608\"]\n  5 [size=\"57948160\", alpha=\"0.11\", expect_size=\"28974080\"] \n  5 -> 8 [size =\"28974080\"]\n  6 [size=\"102512640\", alpha=\"0.12\", expect_size=\"51256320\"] \n  6 -> 7 [size =\"51256320\"]\n  7 [size=\"103456768\", alpha=\"0.02\", expect_size=\"51728384\"] \n  8 [size=\"38699008\", alpha=\"0.03\", expect_size=\"19349504\"] \n  8 -> 9 [size =\"19349504\"]\n  9 [size=\"46907392\", alpha=\"0.06\", expect_size=\"23453696\"] \n  9 -> 10 [size =\"23453696\"]\n  10 [size=\"28915712\", alpha=\"0.14\", expect_size=\"14457856\"] \n  10 -> 11 [size =\"14457856\"]\n  11 [size=\"71077888\", alpha=\"0.03\", expect_size=\"35538944\"] \n  11 -> 12 [size =\"35538944\"]\n  12 [size=\"68902912\", alpha=\"0.00\", expect_size=\"34451456\"] \n  12 -> 13 [size =\"34451456\"]\n  13 [size=\"79198208\", alpha=\"0.02\", expect_size=\"39599104\"] \n  13 -> 14 [size =\"39599104\"]\n  14 [size=\"72439808\", alpha=\"0.12\", expect_size=\"36219904\"] \n  14 -> 15 [size =\"36219904\"]\n  14 -> 16 [size =\"36219904\"]\n  15 [size=\"18073600\", alpha=\"0.03\", expect_size=\"9036800\"] \n  16 [size=\"67743744\", alpha=\"0.08\", expect_size=\"33871872\"] \n  16 -> 17 [size =\"33871872\"]\n  16 -> 18 [size =\"33871872\"]\n  17 [size=\"28819456\", alpha=\"0.10\", expect_size=\"14409728\"] \n  18 [size=\"39921664\", alpha=\"0.12\", expect_size=\"19960832\"] \n  18 -> 19 [size =\"19960832\"]\n  19 [size=\"55619584\", alpha=\"0.01\", expect_size=\"27809792\"] \n  19 -> 20 [size =\"27809792\"]\n  20 [size=\"85895168\", alpha=\"0.04\", expect_size=\"42947584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19345408\", alpha=\"0.04\", expect_size=\"9672704\"] \n  1 -> 2 [size =\"9672704\"]\n  2 [size=\"64622592\", alpha=\"0.10\", expect_size=\"32311296\"] \n  2 -> 3 [size =\"32311296\"]\n  2 -> 4 [size =\"32311296\"]\n  3 [size=\"98029568\", alpha=\"0.03\", expect_size=\"49014784\"] \n  4 [size=\"85041152\", alpha=\"0.11\", expect_size=\"42520576\"] \n  4 -> 5 [size =\"42520576\"]\n  5 [size=\"61917184\", alpha=\"0.13\", expect_size=\"30958592\"] \n  5 -> 6 [size =\"30958592\"]\n  5 -> 7 [size =\"30958592\"]\n  6 [size=\"18143232\", alpha=\"0.14\", expect_size=\"9071616\"] \n  6 -> 8 [size =\"9071616\"]\n  6 -> 9 [size =\"9071616\"]\n  7 [size=\"55279616\", alpha=\"0.12\", expect_size=\"27639808\"] \n  7 -> 8 [size =\"27639808\"]\n  8 [size=\"64966656\", alpha=\"0.07\", expect_size=\"32483328\"] \n  8 -> 10 [size =\"32483328\"]\n  9 [size=\"15429632\", alpha=\"0.07\", expect_size=\"7714816\"] \n  10 [size=\"41981952\", alpha=\"0.04\", expect_size=\"20990976\"] \n  10 -> 11 [size =\"20990976\"]\n  10 -> 12 [size =\"20990976\"]\n  11 [size=\"101808128\", alpha=\"0.11\", expect_size=\"50904064\"] \n  12 [size=\"27648000\", alpha=\"0.00\", expect_size=\"13824000\"] \n  12 -> 13 [size =\"13824000\"]\n  12 -> 14 [size =\"13824000\"]\n  13 [size=\"72830976\", alpha=\"0.15\", expect_size=\"36415488\"] \n  13 -> 15 [size =\"36415488\"]\n  14 [size=\"88541184\", alpha=\"0.01\", expect_size=\"44270592\"] \n  15 [size=\"47656960\", alpha=\"0.02\", expect_size=\"23828480\"] \n  15 -> 16 [size =\"23828480\"]\n  16 [size=\"12511232\", alpha=\"0.11\", expect_size=\"6255616\"] \n  16 -> 17 [size =\"6255616\"]\n  16 -> 18 [size =\"6255616\"]\n  17 [size=\"77694976\", alpha=\"0.09\", expect_size=\"38847488\"] \n  17 -> 19 [size =\"38847488\"]\n  17 -> 20 [size =\"38847488\"]\n  18 [size=\"40816640\", alpha=\"0.04\", expect_size=\"20408320\"] \n  19 [size=\"76032000\", alpha=\"0.18\", expect_size=\"38016000\"] \n  20 [size=\"12937216\", alpha=\"0.00\", expect_size=\"6468608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96139947\", alpha=\"0.05\", expect_size=\"28841984\"] \n  1 -> 10 [size =\"28841984\"]\n  1 -> 11 [size =\"28841984\"]\n  1 -> 14 [size =\"28841984\"]\n  1 -> 15 [size =\"28841984\"]\n  1 -> 16 [size =\"28841984\"]\n  2 [size=\"53299200\", alpha=\"0.04\", expect_size=\"15989760\"] \n  2 -> 10 [size =\"15989760\"]\n  2 -> 14 [size =\"15989760\"]\n  2 -> 15 [size =\"15989760\"]\n  2 -> 16 [size =\"15989760\"]\n  3 [size=\"101795840\", alpha=\"0.03\", expect_size=\"30538752\"] \n  3 -> 12 [size =\"30538752\"]\n  3 -> 14 [size =\"30538752\"]\n  3 -> 16 [size =\"30538752\"]\n  3 -> 16 [size =\"30538752\"]\n  4 [size=\"171031893\", alpha=\"0.18\", expect_size=\"51309568\"] \n  4 -> 12 [size =\"51309568\"]\n  4 -> 13 [size =\"51309568\"]\n  5 [size=\"106584747\", alpha=\"0.20\", expect_size=\"31975424\"] \n  5 -> 11 [size =\"31975424\"]\n  6 [size=\"54855680\", alpha=\"0.15\", expect_size=\"16456704\"] \n  6 -> 11 [size =\"16456704\"]\n  6 -> 12 [size =\"16456704\"]\n  6 -> 13 [size =\"16456704\"]\n  6 -> 15 [size =\"16456704\"]\n  6 -> 16 [size =\"16456704\"]\n  7 [size=\"170280960\", alpha=\"0.03\", expect_size=\"51084288\"] \n  7 -> 11 [size =\"51084288\"]\n  8 [size=\"120753493\", alpha=\"0.17\", expect_size=\"36226048\"] \n  8 -> 10 [size =\"36226048\"]\n  8 -> 15 [size =\"36226048\"]\n  9 [size=\"77929813\", alpha=\"0.13\", expect_size=\"23378944\"] \n  9 -> 10 [size =\"23378944\"]\n  9 -> 14 [size =\"23378944\"]\n  9 -> 15 [size =\"23378944\"]\n  9 -> 16 [size =\"23378944\"]\n  10 [size=\"48165547\", alpha=\"0.00\", expect_size=\"14449664\"] \n  10 -> 19 [size =\"14449664\"]\n  11 [size=\"144435200\", alpha=\"0.08\", expect_size=\"43330560\"] \n  11 -> 19 [size =\"43330560\"]\n  11 -> 20 [size =\"43330560\"]\n  12 [size=\"26695680\", alpha=\"0.11\", expect_size=\"8008704\"] \n  12 -> 18 [size =\"8008704\"]\n  12 -> 20 [size =\"8008704\"]\n  13 [size=\"57053867\", alpha=\"0.04\", expect_size=\"17116160\"] \n  13 -> 17 [size =\"17116160\"]\n  13 -> 19 [size =\"17116160\"]\n  14 [size=\"77042347\", alpha=\"0.04\", expect_size=\"23112704\"] \n  14 -> 17 [size =\"23112704\"]\n  14 -> 18 [size =\"23112704\"]\n  15 [size=\"64863573\", alpha=\"0.10\", expect_size=\"19459072\"] \n  15 -> 17 [size =\"19459072\"]\n  15 -> 18 [size =\"19459072\"]\n  16 [size=\"64303787\", alpha=\"0.13\", expect_size=\"19291136\"] \n  16 -> 18 [size =\"19291136\"]\n  16 -> 19 [size =\"19291136\"]\n  16 -> 20 [size =\"19291136\"]\n  17 [size=\"23866027\", alpha=\"0.03\", expect_size=\"7159808\"] \n  18 [size=\"48636587\", alpha=\"0.02\", expect_size=\"14590976\"] \n  19 [size=\"21538133\", alpha=\"0.17\", expect_size=\"6461440\"] \n  20 [size=\"121446400\", alpha=\"0.09\", expect_size=\"36433920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72693760\", alpha=\"0.04\", expect_size=\"21808128\"] \n  1 -> 13 [size =\"21808128\"]\n  1 -> 14 [size =\"21808128\"]\n  1 -> 15 [size =\"21808128\"]\n  1 -> 19 [size =\"21808128\"]\n  1 -> 20 [size =\"21808128\"]\n  2 [size=\"90767360\", alpha=\"0.08\", expect_size=\"27230208\"] \n  2 -> 12 [size =\"27230208\"]\n  2 -> 15 [size =\"27230208\"]\n  2 -> 17 [size =\"27230208\"]\n  2 -> 18 [size =\"27230208\"]\n  2 -> 19 [size =\"27230208\"]\n  3 [size=\"89572693\", alpha=\"0.15\", expect_size=\"26871808\"] \n  3 -> 12 [size =\"26871808\"]\n  3 -> 14 [size =\"26871808\"]\n  3 -> 17 [size =\"26871808\"]\n  3 -> 19 [size =\"26871808\"]\n  4 [size=\"114892800\", alpha=\"0.07\", expect_size=\"34467840\"] \n  4 -> 13 [size =\"34467840\"]\n  4 -> 14 [size =\"34467840\"]\n  4 -> 17 [size =\"34467840\"]\n  4 -> 18 [size =\"34467840\"]\n  4 -> 20 [size =\"34467840\"]\n  5 [size=\"79988053\", alpha=\"0.03\", expect_size=\"23996416\"] \n  5 -> 13 [size =\"23996416\"]\n  5 -> 16 [size =\"23996416\"]\n  5 -> 17 [size =\"23996416\"]\n  5 -> 18 [size =\"23996416\"]\n  5 -> 19 [size =\"23996416\"]\n  5 -> 20 [size =\"23996416\"]\n  6 [size=\"90292907\", alpha=\"0.00\", expect_size=\"27087872\"] \n  6 -> 13 [size =\"27087872\"]\n  6 -> 14 [size =\"27087872\"]\n  6 -> 16 [size =\"27087872\"]\n  6 -> 17 [size =\"27087872\"]\n  6 -> 20 [size =\"27087872\"]\n  7 [size=\"156139520\", alpha=\"0.15\", expect_size=\"46841856\"] \n  7 -> 13 [size =\"46841856\"]\n  7 -> 14 [size =\"46841856\"]\n  7 -> 15 [size =\"46841856\"]\n  7 -> 16 [size =\"46841856\"]\n  7 -> 17 [size =\"46841856\"]\n  7 -> 20 [size =\"46841856\"]\n  8 [size=\"24954880\", alpha=\"0.05\", expect_size=\"7486464\"] \n  8 -> 14 [size =\"7486464\"]\n  8 -> 15 [size =\"7486464\"]\n  8 -> 16 [size =\"7486464\"]\n  8 -> 17 [size =\"7486464\"]\n  8 -> 17 [size =\"7486464\"]\n  9 [size=\"25770667\", alpha=\"0.18\", expect_size=\"7731200\"] \n  9 -> 12 [size =\"7731200\"]\n  9 -> 13 [size =\"7731200\"]\n  9 -> 14 [size =\"7731200\"]\n  9 -> 17 [size =\"7731200\"]\n  9 -> 19 [size =\"7731200\"]\n  10 [size=\"76926293\", alpha=\"0.02\", expect_size=\"23077888\"] \n  10 -> 13 [size =\"23077888\"]\n  10 -> 14 [size =\"23077888\"]\n  10 -> 15 [size =\"23077888\"]\n  10 -> 17 [size =\"23077888\"]\n  11 [size=\"72837120\", alpha=\"0.19\", expect_size=\"21851136\"] \n  11 -> 14 [size =\"21851136\"]\n  11 -> 15 [size =\"21851136\"]\n  11 -> 19 [size =\"21851136\"]\n  12 [size=\"107728213\", alpha=\"0.06\", expect_size=\"32318464\"] \n  13 [size=\"167618560\", alpha=\"0.06\", expect_size=\"50285568\"] \n  14 [size=\"126720000\", alpha=\"0.13\", expect_size=\"38016000\"] \n  15 [size=\"22429013\", alpha=\"0.14\", expect_size=\"6728704\"] \n  16 [size=\"42229760\", alpha=\"0.06\", expect_size=\"12668928\"] \n  17 [size=\"42461867\", alpha=\"0.01\", expect_size=\"12738560\"] \n  18 [size=\"159119360\", alpha=\"0.03\", expect_size=\"47735808\"] \n  19 [size=\"41205760\", alpha=\"0.14\", expect_size=\"12361728\"] \n  20 [size=\"22568960\", alpha=\"0.10\", expect_size=\"6770688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83632128\", alpha=\"0.16\", expect_size=\"41816064\"] \n  1 -> 5 [size =\"41816064\"]\n  1 -> 6 [size =\"41816064\"]\n  1 -> 7 [size =\"41816064\"]\n  2 [size=\"61161472\", alpha=\"0.08\", expect_size=\"30580736\"] \n  2 -> 5 [size =\"30580736\"]\n  2 -> 6 [size =\"30580736\"]\n  2 -> 7 [size =\"30580736\"]\n  2 -> 8 [size =\"30580736\"]\n  3 [size=\"61773824\", alpha=\"0.12\", expect_size=\"30886912\"] \n  3 -> 5 [size =\"30886912\"]\n  3 -> 7 [size =\"30886912\"]\n  3 -> 8 [size =\"30886912\"]\n  4 [size=\"82825216\", alpha=\"0.07\", expect_size=\"41412608\"] \n  4 -> 5 [size =\"41412608\"]\n  4 -> 6 [size =\"41412608\"]\n  4 -> 7 [size =\"41412608\"]\n  5 [size=\"97429504\", alpha=\"0.09\", expect_size=\"48714752\"] \n  5 -> 9 [size =\"48714752\"]\n  5 -> 10 [size =\"48714752\"]\n  5 -> 12 [size =\"48714752\"]\n  6 [size=\"53950464\", alpha=\"0.06\", expect_size=\"26975232\"] \n  6 -> 9 [size =\"26975232\"]\n  6 -> 10 [size =\"26975232\"]\n  6 -> 11 [size =\"26975232\"]\n  6 -> 12 [size =\"26975232\"]\n  7 [size=\"67776512\", alpha=\"0.19\", expect_size=\"33888256\"] \n  7 -> 9 [size =\"33888256\"]\n  7 -> 11 [size =\"33888256\"]\n  7 -> 11 [size =\"33888256\"]\n  8 [size=\"28512256\", alpha=\"0.15\", expect_size=\"14256128\"] \n  8 -> 9 [size =\"14256128\"]\n  9 [size=\"64874496\", alpha=\"0.07\", expect_size=\"32437248\"] \n  9 -> 13 [size =\"32437248\"]\n  9 -> 14 [size =\"32437248\"]\n  9 -> 16 [size =\"32437248\"]\n  10 [size=\"33632256\", alpha=\"0.01\", expect_size=\"16816128\"] \n  10 -> 15 [size =\"16816128\"]\n  10 -> 16 [size =\"16816128\"]\n  11 [size=\"102621184\", alpha=\"0.16\", expect_size=\"51310592\"] \n  11 -> 13 [size =\"51310592\"]\n  11 -> 14 [size =\"51310592\"]\n  11 -> 16 [size =\"51310592\"]\n  12 [size=\"84203520\", alpha=\"0.11\", expect_size=\"42101760\"] \n  12 -> 14 [size =\"42101760\"]\n  12 -> 14 [size =\"42101760\"]\n  12 -> 15 [size =\"42101760\"]\n  12 -> 16 [size =\"42101760\"]\n  13 [size=\"25749504\", alpha=\"0.18\", expect_size=\"12874752\"] \n  13 -> 17 [size =\"12874752\"]\n  13 -> 18 [size =\"12874752\"]\n  13 -> 19 [size =\"12874752\"]\n  14 [size=\"83521536\", alpha=\"0.17\", expect_size=\"41760768\"] \n  14 -> 17 [size =\"41760768\"]\n  14 -> 18 [size =\"41760768\"]\n  14 -> 19 [size =\"41760768\"]\n  15 [size=\"22054912\", alpha=\"0.07\", expect_size=\"11027456\"] \n  15 -> 18 [size =\"11027456\"]\n  15 -> 19 [size =\"11027456\"]\n  15 -> 20 [size =\"11027456\"]\n  16 [size=\"62439424\", alpha=\"0.13\", expect_size=\"31219712\"] \n  16 -> 17 [size =\"31219712\"]\n  16 -> 18 [size =\"31219712\"]\n  16 -> 19 [size =\"31219712\"]\n  17 [size=\"89137152\", alpha=\"0.14\", expect_size=\"44568576\"] \n  18 [size=\"83378176\", alpha=\"0.04\", expect_size=\"41689088\"] \n  19 [size=\"61519872\", alpha=\"0.14\", expect_size=\"30759936\"] \n  20 [size=\"95019008\", alpha=\"0.02\", expect_size=\"47509504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130063360\", alpha=\"0.02\", expect_size=\"52025344\"] \n  1 -> 17 [size =\"52025344\"]\n  2 [size=\"97361920\", alpha=\"0.08\", expect_size=\"38944768\"] \n  2 -> 17 [size =\"38944768\"]\n  3 [size=\"89157120\", alpha=\"0.08\", expect_size=\"35662848\"] \n  4 [size=\"114908160\", alpha=\"0.14\", expect_size=\"45963264\"] \n  4 -> 19 [size =\"45963264\"]\n  5 [size=\"41907200\", alpha=\"0.14\", expect_size=\"16762880\"] \n  5 -> 18 [size =\"16762880\"]\n  6 [size=\"124295680\", alpha=\"0.05\", expect_size=\"49718272\"] \n  6 -> 16 [size =\"49718272\"]\n  6 -> 19 [size =\"49718272\"]\n  7 [size=\"24417280\", alpha=\"0.13\", expect_size=\"9766912\"] \n  7 -> 16 [size =\"9766912\"]\n  7 -> 17 [size =\"9766912\"]\n  7 -> 20 [size =\"9766912\"]\n  8 [size=\"111864320\", alpha=\"0.18\", expect_size=\"44745728\"] \n  8 -> 17 [size =\"44745728\"]\n  9 [size=\"24317440\", alpha=\"0.19\", expect_size=\"9726976\"] \n  10 [size=\"93834240\", alpha=\"0.15\", expect_size=\"37533696\"] \n  11 [size=\"33669120\", alpha=\"0.01\", expect_size=\"13467648\"] \n  11 -> 16 [size =\"13467648\"]\n  11 -> 19 [size =\"13467648\"]\n  12 [size=\"44625920\", alpha=\"0.10\", expect_size=\"17850368\"] \n  12 -> 17 [size =\"17850368\"]\n  13 [size=\"90324480\", alpha=\"0.09\", expect_size=\"36129792\"] \n  13 -> 16 [size =\"36129792\"]\n  13 -> 17 [size =\"36129792\"]\n  13 -> 18 [size =\"36129792\"]\n  14 [size=\"18437120\", alpha=\"0.02\", expect_size=\"7374848\"] \n  14 -> 15 [size =\"7374848\"]\n  14 -> 16 [size =\"7374848\"]\n  14 -> 17 [size =\"7374848\"]\n  15 [size=\"101611520\", alpha=\"0.09\", expect_size=\"40644608\"] \n  16 [size=\"66147840\", alpha=\"0.17\", expect_size=\"26459136\"] \n  17 [size=\"94097920\", alpha=\"0.15\", expect_size=\"37639168\"] \n  18 [size=\"55339520\", alpha=\"0.05\", expect_size=\"22135808\"] \n  19 [size=\"40921600\", alpha=\"0.12\", expect_size=\"16368640\"] \n  20 [size=\"32734720\", alpha=\"0.07\", expect_size=\"13093888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88547328\", alpha=\"0.08\", expect_size=\"44273664\"] \n  1 -> 6 [size =\"44273664\"]\n  1 -> 7 [size =\"44273664\"]\n  1 -> 8 [size =\"44273664\"]\n  1 -> 9 [size =\"44273664\"]\n  2 [size=\"63850496\", alpha=\"0.06\", expect_size=\"31925248\"] \n  2 -> 7 [size =\"31925248\"]\n  3 [size=\"50708480\", alpha=\"0.15\", expect_size=\"25354240\"] \n  4 [size=\"49145856\", alpha=\"0.14\", expect_size=\"24572928\"] \n  4 -> 7 [size =\"24572928\"]\n  4 -> 9 [size =\"24572928\"]\n  5 [size=\"50403328\", alpha=\"0.13\", expect_size=\"25201664\"] \n  5 -> 8 [size =\"25201664\"]\n  5 -> 9 [size =\"25201664\"]\n  5 -> 10 [size =\"25201664\"]\n  6 [size=\"46452736\", alpha=\"0.12\", expect_size=\"23226368\"] \n  6 -> 12 [size =\"23226368\"]\n  6 -> 13 [size =\"23226368\"]\n  6 -> 15 [size =\"23226368\"]\n  6 -> 18 [size =\"23226368\"]\n  7 [size=\"102883328\", alpha=\"0.18\", expect_size=\"51441664\"] \n  7 -> 11 [size =\"51441664\"]\n  7 -> 12 [size =\"51441664\"]\n  7 -> 13 [size =\"51441664\"]\n  7 -> 14 [size =\"51441664\"]\n  7 -> 15 [size =\"51441664\"]\n  7 -> 17 [size =\"51441664\"]\n  7 -> 18 [size =\"51441664\"]\n  8 [size=\"85114880\", alpha=\"0.03\", expect_size=\"42557440\"] \n  8 -> 14 [size =\"42557440\"]\n  9 [size=\"38391808\", alpha=\"0.03\", expect_size=\"19195904\"] \n  9 -> 13 [size =\"19195904\"]\n  9 -> 14 [size =\"19195904\"]\n  9 -> 16 [size =\"19195904\"]\n  10 [size=\"60313600\", alpha=\"0.17\", expect_size=\"30156800\"] \n  10 -> 16 [size =\"30156800\"]\n  10 -> 19 [size =\"30156800\"]\n  11 [size=\"68947968\", alpha=\"0.19\", expect_size=\"34473984\"] \n  12 [size=\"12756992\", alpha=\"0.17\", expect_size=\"6378496\"] \n  12 -> 20 [size =\"6378496\"]\n  13 [size=\"38725632\", alpha=\"0.07\", expect_size=\"19362816\"] \n  14 [size=\"14659584\", alpha=\"0.01\", expect_size=\"7329792\"] \n  15 [size=\"79960064\", alpha=\"0.11\", expect_size=\"39980032\"] \n  16 [size=\"47118336\", alpha=\"0.08\", expect_size=\"23559168\"] \n  16 -> 20 [size =\"23559168\"]\n  17 [size=\"10723328\", alpha=\"0.14\", expect_size=\"5361664\"] \n  17 -> 20 [size =\"5361664\"]\n  18 [size=\"96196608\", alpha=\"0.13\", expect_size=\"48098304\"] \n  18 -> 20 [size =\"48098304\"]\n  19 [size=\"17119232\", alpha=\"0.11\", expect_size=\"8559616\"] \n  20 [size=\"33386496\", alpha=\"0.13\", expect_size=\"16693248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96548864\", alpha=\"0.11\", expect_size=\"48274432\"] \n  1 -> 18 [size =\"48274432\"]\n  1 -> 19 [size =\"48274432\"]\n  1 -> 20 [size =\"48274432\"]\n  2 [size=\"102998016\", alpha=\"0.15\", expect_size=\"51499008\"] \n  2 -> 16 [size =\"51499008\"]\n  2 -> 17 [size =\"51499008\"]\n  2 -> 19 [size =\"51499008\"]\n  3 [size=\"18825216\", alpha=\"0.09\", expect_size=\"9412608\"] \n  3 -> 15 [size =\"9412608\"]\n  4 [size=\"72615936\", alpha=\"0.12\", expect_size=\"36307968\"] \n  4 -> 20 [size =\"36307968\"]\n  5 [size=\"74448896\", alpha=\"0.03\", expect_size=\"37224448\"] \n  5 -> 16 [size =\"37224448\"]\n  5 -> 17 [size =\"37224448\"]\n  6 [size=\"15988736\", alpha=\"0.01\", expect_size=\"7994368\"] \n  6 -> 15 [size =\"7994368\"]\n  6 -> 17 [size =\"7994368\"]\n  6 -> 19 [size =\"7994368\"]\n  7 [size=\"27232256\", alpha=\"0.06\", expect_size=\"13616128\"] \n  7 -> 16 [size =\"13616128\"]\n  7 -> 17 [size =\"13616128\"]\n  8 [size=\"39761920\", alpha=\"0.14\", expect_size=\"19880960\"] \n  8 -> 17 [size =\"19880960\"]\n  9 [size=\"36814848\", alpha=\"0.04\", expect_size=\"18407424\"] \n  10 [size=\"76830720\", alpha=\"0.17\", expect_size=\"38415360\"] \n  11 [size=\"57692160\", alpha=\"0.14\", expect_size=\"28846080\"] \n  11 -> 15 [size =\"28846080\"]\n  11 -> 16 [size =\"28846080\"]\n  11 -> 17 [size =\"28846080\"]\n  11 -> 19 [size =\"28846080\"]\n  11 -> 20 [size =\"28846080\"]\n  12 [size=\"16947200\", alpha=\"0.11\", expect_size=\"8473600\"] \n  12 -> 16 [size =\"8473600\"]\n  12 -> 16 [size =\"8473600\"]\n  12 -> 17 [size =\"8473600\"]\n  12 -> 19 [size =\"8473600\"]\n  12 -> 20 [size =\"8473600\"]\n  13 [size=\"87855104\", alpha=\"0.14\", expect_size=\"43927552\"] \n  13 -> 15 [size =\"43927552\"]\n  13 -> 17 [size =\"43927552\"]\n  13 -> 17 [size =\"43927552\"]\n  13 -> 20 [size =\"43927552\"]\n  14 [size=\"37912576\", alpha=\"0.01\", expect_size=\"18956288\"] \n  14 -> 15 [size =\"18956288\"]\n  14 -> 19 [size =\"18956288\"]\n  15 [size=\"96843776\", alpha=\"0.12\", expect_size=\"48421888\"] \n  16 [size=\"17410048\", alpha=\"0.00\", expect_size=\"8705024\"] \n  17 [size=\"21057536\", alpha=\"0.07\", expect_size=\"10528768\"] \n  18 [size=\"49549312\", alpha=\"0.03\", expect_size=\"24774656\"] \n  19 [size=\"23230464\", alpha=\"0.12\", expect_size=\"11615232\"] \n  20 [size=\"40269824\", alpha=\"0.15\", expect_size=\"20134912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107919360\", alpha=\"0.14\", expect_size=\"32375808\"] \n  1 -> 4 [size =\"32375808\"]\n  1 -> 5 [size =\"32375808\"]\n  1 -> 6 [size =\"32375808\"]\n  2 [size=\"141448533\", alpha=\"0.20\", expect_size=\"42434560\"] \n  2 -> 4 [size =\"42434560\"]\n  2 -> 6 [size =\"42434560\"]\n  3 [size=\"42437973\", alpha=\"0.13\", expect_size=\"12731392\"] \n  3 -> 5 [size =\"12731392\"]\n  3 -> 6 [size =\"12731392\"]\n  3 -> 7 [size =\"12731392\"]\n  4 [size=\"167949653\", alpha=\"0.12\", expect_size=\"50384896\"] \n  4 -> 10 [size =\"50384896\"]\n  5 [size=\"67771733\", alpha=\"0.17\", expect_size=\"20331520\"] \n  5 -> 8 [size =\"20331520\"]\n  6 [size=\"88258560\", alpha=\"0.01\", expect_size=\"26477568\"] \n  6 -> 8 [size =\"26477568\"]\n  6 -> 9 [size =\"26477568\"]\n  6 -> 11 [size =\"26477568\"]\n  7 [size=\"64003413\", alpha=\"0.14\", expect_size=\"19201024\"] \n  7 -> 8 [size =\"19201024\"]\n  7 -> 9 [size =\"19201024\"]\n  8 [size=\"72570880\", alpha=\"0.17\", expect_size=\"21771264\"] \n  8 -> 14 [size =\"21771264\"]\n  9 [size=\"156982613\", alpha=\"0.09\", expect_size=\"47094784\"] \n  9 -> 12 [size =\"47094784\"]\n  10 [size=\"81291947\", alpha=\"0.08\", expect_size=\"24387584\"] \n  10 -> 12 [size =\"24387584\"]\n  10 -> 13 [size =\"24387584\"]\n  11 [size=\"69294080\", alpha=\"0.15\", expect_size=\"20788224\"] \n  11 -> 13 [size =\"20788224\"]\n  11 -> 14 [size =\"20788224\"]\n  12 [size=\"22336853\", alpha=\"0.05\", expect_size=\"6701056\"] \n  12 -> 15 [size =\"6701056\"]\n  12 -> 16 [size =\"6701056\"]\n  13 [size=\"19916800\", alpha=\"0.09\", expect_size=\"5975040\"] \n  14 [size=\"124340907\", alpha=\"0.20\", expect_size=\"37302272\"] \n  14 -> 15 [size =\"37302272\"]\n  14 -> 16 [size =\"37302272\"]\n  14 -> 17 [size =\"37302272\"]\n  14 -> 18 [size =\"37302272\"]\n  15 [size=\"59897173\", alpha=\"0.07\", expect_size=\"17969152\"] \n  15 -> 20 [size =\"17969152\"]\n  16 [size=\"32570027\", alpha=\"0.01\", expect_size=\"9771008\"] \n  16 -> 19 [size =\"9771008\"]\n  17 [size=\"41584640\", alpha=\"0.05\", expect_size=\"12475392\"] \n  17 -> 19 [size =\"12475392\"]\n  18 [size=\"152360960\", alpha=\"0.03\", expect_size=\"45708288\"] \n  18 -> 19 [size =\"45708288\"]\n  18 -> 20 [size =\"45708288\"]\n  19 [size=\"126815573\", alpha=\"0.08\", expect_size=\"38044672\"] \n  20 [size=\"42233173\", alpha=\"0.13\", expect_size=\"12669952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56872960\", alpha=\"0.02\", expect_size=\"22749184\"] \n  1 -> 3 [size =\"22749184\"]\n  2 [size=\"36751360\", alpha=\"0.09\", expect_size=\"14700544\"] \n  2 -> 3 [size =\"14700544\"]\n  3 [size=\"19202560\", alpha=\"0.16\", expect_size=\"7681024\"] \n  3 -> 4 [size =\"7681024\"]\n  3 -> 5 [size =\"7681024\"]\n  4 [size=\"101214720\", alpha=\"0.02\", expect_size=\"40485888\"] \n  5 [size=\"40424960\", alpha=\"0.19\", expect_size=\"16169984\"] \n  5 -> 6 [size =\"16169984\"]\n  6 [size=\"84751360\", alpha=\"0.08\", expect_size=\"33900544\"] \n  6 -> 7 [size =\"33900544\"]\n  7 [size=\"40107520\", alpha=\"0.14\", expect_size=\"16043008\"] \n  7 -> 8 [size =\"16043008\"]\n  8 [size=\"82849280\", alpha=\"0.03\", expect_size=\"33139712\"] \n  8 -> 9 [size =\"33139712\"]\n  9 [size=\"119267840\", alpha=\"0.03\", expect_size=\"47707136\"] \n  9 -> 10 [size =\"47707136\"]\n  10 [size=\"37150720\", alpha=\"0.19\", expect_size=\"14860288\"] \n  10 -> 11 [size =\"14860288\"]\n  11 [size=\"112837120\", alpha=\"0.07\", expect_size=\"45134848\"] \n  11 -> 12 [size =\"45134848\"]\n  12 [size=\"126064640\", alpha=\"0.11\", expect_size=\"50425856\"] \n  12 -> 13 [size =\"50425856\"]\n  13 [size=\"62699520\", alpha=\"0.03\", expect_size=\"25079808\"] \n  13 -> 14 [size =\"25079808\"]\n  14 [size=\"37888000\", alpha=\"0.15\", expect_size=\"15155200\"] \n  14 -> 15 [size =\"15155200\"]\n  14 -> 16 [size =\"15155200\"]\n  15 [size=\"51087360\", alpha=\"0.06\", expect_size=\"20434944\"] \n  15 -> 17 [size =\"20434944\"]\n  16 [size=\"45281280\", alpha=\"0.09\", expect_size=\"18112512\"] \n  16 -> 17 [size =\"18112512\"]\n  16 -> 18 [size =\"18112512\"]\n  17 [size=\"92303360\", alpha=\"0.15\", expect_size=\"36921344\"] \n  17 -> 20 [size =\"36921344\"]\n  18 [size=\"57039360\", alpha=\"0.07\", expect_size=\"22815744\"] \n  18 -> 19 [size =\"22815744\"]\n  18 -> 20 [size =\"22815744\"]\n  19 [size=\"72401920\", alpha=\"0.08\", expect_size=\"28960768\"] \n  20 [size=\"88481280\", alpha=\"0.08\", expect_size=\"35392512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93603840\", alpha=\"0.15\", expect_size=\"28081152\"] \n  1 -> 3 [size =\"28081152\"]\n  2 [size=\"163147093\", alpha=\"0.06\", expect_size=\"48944128\"] \n  3 [size=\"43844267\", alpha=\"0.19\", expect_size=\"13153280\"] \n  3 -> 4 [size =\"13153280\"]\n  4 [size=\"130283520\", alpha=\"0.19\", expect_size=\"39085056\"] \n  4 -> 5 [size =\"39085056\"]\n  5 [size=\"28685653\", alpha=\"0.06\", expect_size=\"8605696\"] \n  5 -> 6 [size =\"8605696\"]\n  5 -> 7 [size =\"8605696\"]\n  6 [size=\"146862080\", alpha=\"0.09\", expect_size=\"44058624\"] \n  6 -> 8 [size =\"44058624\"]\n  6 -> 9 [size =\"44058624\"]\n  7 [size=\"95788373\", alpha=\"0.10\", expect_size=\"28736512\"] \n  7 -> 9 [size =\"28736512\"]\n  8 [size=\"113664000\", alpha=\"0.00\", expect_size=\"34099200\"] \n  8 -> 11 [size =\"34099200\"]\n  9 [size=\"94317227\", alpha=\"0.15\", expect_size=\"28295168\"] \n  9 -> 10 [size =\"28295168\"]\n  9 -> 11 [size =\"28295168\"]\n  10 [size=\"127037440\", alpha=\"0.01\", expect_size=\"38111232\"] \n  10 -> 12 [size =\"38111232\"]\n  10 -> 13 [size =\"38111232\"]\n  11 [size=\"73765547\", alpha=\"0.13\", expect_size=\"22129664\"] \n  11 -> 12 [size =\"22129664\"]\n  11 -> 13 [size =\"22129664\"]\n  12 [size=\"34519040\", alpha=\"0.01\", expect_size=\"10355712\"] \n  12 -> 15 [size =\"10355712\"]\n  13 [size=\"78749013\", alpha=\"0.15\", expect_size=\"23624704\"] \n  13 -> 14 [size =\"23624704\"]\n  13 -> 15 [size =\"23624704\"]\n  14 [size=\"73420800\", alpha=\"0.03\", expect_size=\"22026240\"] \n  15 [size=\"63709867\", alpha=\"0.08\", expect_size=\"19112960\"] \n  15 -> 16 [size =\"19112960\"]\n  16 [size=\"114292053\", alpha=\"0.16\", expect_size=\"34287616\"] \n  16 -> 17 [size =\"34287616\"]\n  16 -> 18 [size =\"34287616\"]\n  17 [size=\"29371733\", alpha=\"0.08\", expect_size=\"8811520\"] \n  17 -> 19 [size =\"8811520\"]\n  18 [size=\"106581333\", alpha=\"0.11\", expect_size=\"31974400\"] \n  18 -> 19 [size =\"31974400\"]\n  19 [size=\"109294933\", alpha=\"0.12\", expect_size=\"32788480\"] \n  19 -> 20 [size =\"32788480\"]\n  20 [size=\"69089280\", alpha=\"0.02\", expect_size=\"20726784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34437120\", alpha=\"0.09\", expect_size=\"17218560\"] \n  1 -> 10 [size =\"17218560\"]\n  1 -> 12 [size =\"17218560\"]\n  1 -> 13 [size =\"17218560\"]\n  1 -> 14 [size =\"17218560\"]\n  1 -> 15 [size =\"17218560\"]\n  2 [size=\"19826688\", alpha=\"0.07\", expect_size=\"9913344\"] \n  2 -> 11 [size =\"9913344\"]\n  2 -> 12 [size =\"9913344\"]\n  3 [size=\"46094336\", alpha=\"0.12\", expect_size=\"23047168\"] \n  3 -> 10 [size =\"23047168\"]\n  3 -> 12 [size =\"23047168\"]\n  4 [size=\"54263808\", alpha=\"0.12\", expect_size=\"27131904\"] \n  4 -> 13 [size =\"27131904\"]\n  5 [size=\"73687040\", alpha=\"0.19\", expect_size=\"36843520\"] \n  5 -> 14 [size =\"36843520\"]\n  5 -> 16 [size =\"36843520\"]\n  6 [size=\"73492480\", alpha=\"0.07\", expect_size=\"36746240\"] \n  6 -> 13 [size =\"36746240\"]\n  7 [size=\"17526784\", alpha=\"0.13\", expect_size=\"8763392\"] \n  7 -> 15 [size =\"8763392\"]\n  8 [size=\"47990784\", alpha=\"0.03\", expect_size=\"23995392\"] \n  8 -> 9 [size =\"23995392\"]\n  8 -> 14 [size =\"23995392\"]\n  8 -> 15 [size =\"23995392\"]\n  9 [size=\"77723648\", alpha=\"0.10\", expect_size=\"38861824\"] \n  9 -> 19 [size =\"38861824\"]\n  9 -> 20 [size =\"38861824\"]\n  10 [size=\"28581888\", alpha=\"0.01\", expect_size=\"14290944\"] \n  11 [size=\"88576000\", alpha=\"0.10\", expect_size=\"44288000\"] \n  12 [size=\"38322176\", alpha=\"0.08\", expect_size=\"19161088\"] \n  12 -> 18 [size =\"19161088\"]\n  12 -> 19 [size =\"19161088\"]\n  13 [size=\"70162432\", alpha=\"0.19\", expect_size=\"35081216\"] \n  13 -> 18 [size =\"35081216\"]\n  13 -> 20 [size =\"35081216\"]\n  14 [size=\"33802240\", alpha=\"0.01\", expect_size=\"16901120\"] \n  15 [size=\"90529792\", alpha=\"0.07\", expect_size=\"45264896\"] \n  15 -> 18 [size =\"45264896\"]\n  16 [size=\"84398080\", alpha=\"0.07\", expect_size=\"42199040\"] \n  16 -> 17 [size =\"42199040\"]\n  16 -> 19 [size =\"42199040\"]\n  17 [size=\"20819968\", alpha=\"0.19\", expect_size=\"10409984\"] \n  18 [size=\"81868800\", alpha=\"0.20\", expect_size=\"40934400\"] \n  19 [size=\"97175552\", alpha=\"0.10\", expect_size=\"48587776\"] \n  20 [size=\"51998720\", alpha=\"0.18\", expect_size=\"25999360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59484160\", alpha=\"0.14\", expect_size=\"23793664\"] \n  1 -> 2 [size =\"23793664\"]\n  2 [size=\"76456960\", alpha=\"0.00\", expect_size=\"30582784\"] \n  2 -> 3 [size =\"30582784\"]\n  3 [size=\"64839680\", alpha=\"0.15\", expect_size=\"25935872\"] \n  3 -> 4 [size =\"25935872\"]\n  4 [size=\"22942720\", alpha=\"0.07\", expect_size=\"9177088\"] \n  4 -> 5 [size =\"9177088\"]\n  5 [size=\"111918080\", alpha=\"0.12\", expect_size=\"44767232\"] \n  5 -> 6 [size =\"44767232\"]\n  6 [size=\"24755200\", alpha=\"0.16\", expect_size=\"9902080\"] \n  6 -> 7 [size =\"9902080\"]\n  7 [size=\"25341440\", alpha=\"0.15\", expect_size=\"10136576\"] \n  7 -> 8 [size =\"10136576\"]\n  8 [size=\"14927360\", alpha=\"0.14\", expect_size=\"5970944\"] \n  8 -> 9 [size =\"5970944\"]\n  9 [size=\"37964800\", alpha=\"0.17\", expect_size=\"15185920\"] \n  9 -> 10 [size =\"15185920\"]\n  10 [size=\"89221120\", alpha=\"0.14\", expect_size=\"35688448\"] \n  10 -> 11 [size =\"35688448\"]\n  11 [size=\"118574080\", alpha=\"0.20\", expect_size=\"47429632\"] \n  11 -> 12 [size =\"47429632\"]\n  12 [size=\"82357760\", alpha=\"0.00\", expect_size=\"32943104\"] \n  12 -> 13 [size =\"32943104\"]\n  13 [size=\"82455040\", alpha=\"0.00\", expect_size=\"32982016\"] \n  13 -> 14 [size =\"32982016\"]\n  14 [size=\"54540800\", alpha=\"0.09\", expect_size=\"21816320\"] \n  14 -> 15 [size =\"21816320\"]\n  15 [size=\"98608640\", alpha=\"0.08\", expect_size=\"39443456\"] \n  15 -> 16 [size =\"39443456\"]\n  16 [size=\"53360640\", alpha=\"0.01\", expect_size=\"21344256\"] \n  16 -> 17 [size =\"21344256\"]\n  17 [size=\"31377920\", alpha=\"0.15\", expect_size=\"12551168\"] \n  17 -> 18 [size =\"12551168\"]\n  18 [size=\"121564160\", alpha=\"0.14\", expect_size=\"48625664\"] \n  18 -> 19 [size =\"48625664\"]\n  19 [size=\"86333440\", alpha=\"0.08\", expect_size=\"34533376\"] \n  19 -> 20 [size =\"34533376\"]\n  20 [size=\"66885120\", alpha=\"0.13\", expect_size=\"26754048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46858240\", alpha=\"0.12\", expect_size=\"14057472\"] \n  1 -> 2 [size =\"14057472\"]\n  1 -> 3 [size =\"14057472\"]\n  2 [size=\"119354027\", alpha=\"0.01\", expect_size=\"35806208\"] \n  2 -> 4 [size =\"35806208\"]\n  3 [size=\"144800427\", alpha=\"0.04\", expect_size=\"43440128\"] \n  3 -> 4 [size =\"43440128\"]\n  4 [size=\"20964693\", alpha=\"0.07\", expect_size=\"6289408\"] \n  4 -> 5 [size =\"6289408\"]\n  4 -> 6 [size =\"6289408\"]\n  5 [size=\"93177173\", alpha=\"0.02\", expect_size=\"27953152\"] \n  5 -> 8 [size =\"27953152\"]\n  6 [size=\"125119147\", alpha=\"0.08\", expect_size=\"37535744\"] \n  6 -> 7 [size =\"37535744\"]\n  6 -> 8 [size =\"37535744\"]\n  7 [size=\"141994667\", alpha=\"0.13\", expect_size=\"42598400\"] \n  7 -> 9 [size =\"42598400\"]\n  8 [size=\"125044053\", alpha=\"0.01\", expect_size=\"37513216\"] \n  9 [size=\"96535893\", alpha=\"0.10\", expect_size=\"28960768\"] \n  9 -> 10 [size =\"28960768\"]\n  9 -> 11 [size =\"28960768\"]\n  10 [size=\"103437653\", alpha=\"0.09\", expect_size=\"31031296\"] \n  10 -> 12 [size =\"31031296\"]\n  10 -> 13 [size =\"31031296\"]\n  11 [size=\"66167467\", alpha=\"0.10\", expect_size=\"19850240\"] \n  12 [size=\"158126080\", alpha=\"0.19\", expect_size=\"47437824\"] \n  12 -> 14 [size =\"47437824\"]\n  13 [size=\"165802667\", alpha=\"0.09\", expect_size=\"49740800\"] \n  13 -> 14 [size =\"49740800\"]\n  14 [size=\"36293973\", alpha=\"0.16\", expect_size=\"10888192\"] \n  14 -> 15 [size =\"10888192\"]\n  15 [size=\"91139413\", alpha=\"0.08\", expect_size=\"27341824\"] \n  15 -> 16 [size =\"27341824\"]\n  15 -> 17 [size =\"27341824\"]\n  16 [size=\"105885013\", alpha=\"0.11\", expect_size=\"31765504\"] \n  16 -> 18 [size =\"31765504\"]\n  16 -> 19 [size =\"31765504\"]\n  17 [size=\"170666667\", alpha=\"0.10\", expect_size=\"51200000\"] \n  17 -> 18 [size =\"51200000\"]\n  17 -> 19 [size =\"51200000\"]\n  18 [size=\"115647147\", alpha=\"0.06\", expect_size=\"34694144\"] \n  18 -> 20 [size =\"34694144\"]\n  19 [size=\"124474027\", alpha=\"0.02\", expect_size=\"37342208\"] \n  19 -> 20 [size =\"37342208\"]\n  20 [size=\"45940053\", alpha=\"0.10\", expect_size=\"13782016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102966613\", alpha=\"0.11\", expect_size=\"30889984\"] \n  1 -> 6 [size =\"30889984\"]\n  1 -> 7 [size =\"30889984\"]\n  2 [size=\"130167467\", alpha=\"0.15\", expect_size=\"39050240\"] \n  2 -> 4 [size =\"39050240\"]\n  2 -> 5 [size =\"39050240\"]\n  2 -> 6 [size =\"39050240\"]\n  2 -> 7 [size =\"39050240\"]\n  3 [size=\"28416000\", alpha=\"0.01\", expect_size=\"8524800\"] \n  3 -> 5 [size =\"8524800\"]\n  4 [size=\"18827947\", alpha=\"0.20\", expect_size=\"5648384\"] \n  4 -> 8 [size =\"5648384\"]\n  4 -> 10 [size =\"5648384\"]\n  5 [size=\"86824960\", alpha=\"0.12\", expect_size=\"26047488\"] \n  5 -> 9 [size =\"26047488\"]\n  5 -> 11 [size =\"26047488\"]\n  6 [size=\"142028800\", alpha=\"0.13\", expect_size=\"42608640\"] \n  6 -> 8 [size =\"42608640\"]\n  6 -> 10 [size =\"42608640\"]\n  7 [size=\"67188053\", alpha=\"0.00\", expect_size=\"20156416\"] \n  8 [size=\"173895680\", alpha=\"0.16\", expect_size=\"52168704\"] \n  8 -> 14 [size =\"52168704\"]\n  9 [size=\"120582827\", alpha=\"0.09\", expect_size=\"36174848\"] \n  10 [size=\"96320853\", alpha=\"0.13\", expect_size=\"28896256\"] \n  10 -> 13 [size =\"28896256\"]\n  10 -> 14 [size =\"28896256\"]\n  10 -> 15 [size =\"28896256\"]\n  11 [size=\"72748373\", alpha=\"0.15\", expect_size=\"21824512\"] \n  11 -> 12 [size =\"21824512\"]\n  12 [size=\"160610987\", alpha=\"0.07\", expect_size=\"48183296\"] \n  13 [size=\"123098453\", alpha=\"0.12\", expect_size=\"36929536\"] \n  13 -> 16 [size =\"36929536\"]\n  14 [size=\"133584213\", alpha=\"0.13\", expect_size=\"40075264\"] \n  14 -> 17 [size =\"40075264\"]\n  14 -> 18 [size =\"40075264\"]\n  15 [size=\"132205227\", alpha=\"0.06\", expect_size=\"39661568\"] \n  15 -> 17 [size =\"39661568\"]\n  15 -> 18 [size =\"39661568\"]\n  16 [size=\"71632213\", alpha=\"0.04\", expect_size=\"21489664\"] \n  17 [size=\"170816853\", alpha=\"0.13\", expect_size=\"51245056\"] \n  17 -> 20 [size =\"51245056\"]\n  18 [size=\"170919253\", alpha=\"0.11\", expect_size=\"51275776\"] \n  18 -> 19 [size =\"51275776\"]\n  19 [size=\"135720960\", alpha=\"0.15\", expect_size=\"40716288\"] \n  20 [size=\"47909547\", alpha=\"0.10\", expect_size=\"14372864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27058176\", alpha=\"0.16\", expect_size=\"13529088\"] \n  1 -> 13 [size =\"13529088\"]\n  1 -> 14 [size =\"13529088\"]\n  2 [size=\"82814976\", alpha=\"0.03\", expect_size=\"41407488\"] \n  2 -> 8 [size =\"41407488\"]\n  2 -> 9 [size =\"41407488\"]\n  2 -> 13 [size =\"41407488\"]\n  3 [size=\"46999552\", alpha=\"0.02\", expect_size=\"23499776\"] \n  3 -> 8 [size =\"23499776\"]\n  3 -> 15 [size =\"23499776\"]\n  4 [size=\"45740032\", alpha=\"0.01\", expect_size=\"22870016\"] \n  4 -> 9 [size =\"22870016\"]\n  4 -> 10 [size =\"22870016\"]\n  4 -> 12 [size =\"22870016\"]\n  4 -> 14 [size =\"22870016\"]\n  5 [size=\"98215936\", alpha=\"0.00\", expect_size=\"49107968\"] \n  5 -> 9 [size =\"49107968\"]\n  5 -> 13 [size =\"49107968\"]\n  5 -> 15 [size =\"49107968\"]\n  6 [size=\"88778752\", alpha=\"0.15\", expect_size=\"44389376\"] \n  6 -> 9 [size =\"44389376\"]\n  6 -> 10 [size =\"44389376\"]\n  6 -> 12 [size =\"44389376\"]\n  7 [size=\"48541696\", alpha=\"0.18\", expect_size=\"24270848\"] \n  7 -> 9 [size =\"24270848\"]\n  7 -> 11 [size =\"24270848\"]\n  7 -> 13 [size =\"24270848\"]\n  7 -> 15 [size =\"24270848\"]\n  8 [size=\"83986432\", alpha=\"0.08\", expect_size=\"41993216\"] \n  8 -> 16 [size =\"41993216\"]\n  9 [size=\"94468096\", alpha=\"0.18\", expect_size=\"47234048\"] \n  9 -> 18 [size =\"47234048\"]\n  9 -> 19 [size =\"47234048\"]\n  10 [size=\"47568896\", alpha=\"0.18\", expect_size=\"23784448\"] \n  10 -> 16 [size =\"23784448\"]\n  10 -> 18 [size =\"23784448\"]\n  10 -> 19 [size =\"23784448\"]\n  11 [size=\"90232832\", alpha=\"0.10\", expect_size=\"45116416\"] \n  11 -> 18 [size =\"45116416\"]\n  11 -> 18 [size =\"45116416\"]\n  11 -> 19 [size =\"45116416\"]\n  12 [size=\"70696960\", alpha=\"0.13\", expect_size=\"35348480\"] \n  12 -> 16 [size =\"35348480\"]\n  12 -> 19 [size =\"35348480\"]\n  13 [size=\"86835200\", alpha=\"0.05\", expect_size=\"43417600\"] \n  13 -> 16 [size =\"43417600\"]\n  13 -> 18 [size =\"43417600\"]\n  14 [size=\"95039488\", alpha=\"0.03\", expect_size=\"47519744\"] \n  14 -> 16 [size =\"47519744\"]\n  14 -> 17 [size =\"47519744\"]\n  14 -> 19 [size =\"47519744\"]\n  14 -> 20 [size =\"47519744\"]\n  15 [size=\"99926016\", alpha=\"0.11\", expect_size=\"49963008\"] \n  15 -> 19 [size =\"49963008\"]\n  16 [size=\"101996544\", alpha=\"0.10\", expect_size=\"50998272\"] \n  17 [size=\"79544320\", alpha=\"0.07\", expect_size=\"39772160\"] \n  18 [size=\"67807232\", alpha=\"0.15\", expect_size=\"33903616\"] \n  19 [size=\"13383680\", alpha=\"0.06\", expect_size=\"6691840\"] \n  20 [size=\"99018752\", alpha=\"0.19\", expect_size=\"49509376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61068800\", alpha=\"0.15\", expect_size=\"24427520\"] \n  1 -> 2 [size =\"24427520\"]\n  2 [size=\"26982400\", alpha=\"0.07\", expect_size=\"10792960\"] \n  2 -> 3 [size =\"10792960\"]\n  3 [size=\"112496640\", alpha=\"0.15\", expect_size=\"44998656\"] \n  3 -> 4 [size =\"44998656\"]\n  4 [size=\"76183040\", alpha=\"0.00\", expect_size=\"30473216\"] \n  4 -> 5 [size =\"30473216\"]\n  5 [size=\"54717440\", alpha=\"0.16\", expect_size=\"21886976\"] \n  5 -> 6 [size =\"21886976\"]\n  6 [size=\"48225280\", alpha=\"0.06\", expect_size=\"19290112\"] \n  6 -> 7 [size =\"19290112\"]\n  7 [size=\"79444480\", alpha=\"0.07\", expect_size=\"31777792\"] \n  7 -> 8 [size =\"31777792\"]\n  8 [size=\"35706880\", alpha=\"0.01\", expect_size=\"14282752\"] \n  8 -> 9 [size =\"14282752\"]\n  9 [size=\"35916800\", alpha=\"0.08\", expect_size=\"14366720\"] \n  9 -> 10 [size =\"14366720\"]\n  10 [size=\"123504640\", alpha=\"0.12\", expect_size=\"49401856\"] \n  10 -> 11 [size =\"49401856\"]\n  11 [size=\"98339840\", alpha=\"0.12\", expect_size=\"39335936\"] \n  11 -> 12 [size =\"39335936\"]\n  12 [size=\"68423680\", alpha=\"0.07\", expect_size=\"27369472\"] \n  12 -> 13 [size =\"27369472\"]\n  13 [size=\"111587840\", alpha=\"0.03\", expect_size=\"44635136\"] \n  13 -> 14 [size =\"44635136\"]\n  14 [size=\"82096640\", alpha=\"0.05\", expect_size=\"32838656\"] \n  14 -> 15 [size =\"32838656\"]\n  15 [size=\"83207680\", alpha=\"0.19\", expect_size=\"33283072\"] \n  15 -> 16 [size =\"33283072\"]\n  16 [size=\"62515200\", alpha=\"0.07\", expect_size=\"25006080\"] \n  16 -> 17 [size =\"25006080\"]\n  17 [size=\"99351040\", alpha=\"0.11\", expect_size=\"39740416\"] \n  17 -> 18 [size =\"39740416\"]\n  18 [size=\"24744960\", alpha=\"0.03\", expect_size=\"9897984\"] \n  18 -> 19 [size =\"9897984\"]\n  19 [size=\"29780480\", alpha=\"0.06\", expect_size=\"11912192\"] \n  19 -> 20 [size =\"11912192\"]\n  20 [size=\"75827200\", alpha=\"0.10\", expect_size=\"30330880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24569173\", alpha=\"0.13\", expect_size=\"7370752\"] \n  1 -> 2 [size =\"7370752\"]\n  2 [size=\"151637333\", alpha=\"0.07\", expect_size=\"45491200\"] \n  2 -> 3 [size =\"45491200\"]\n  3 [size=\"136154453\", alpha=\"0.19\", expect_size=\"40846336\"] \n  3 -> 4 [size =\"40846336\"]\n  4 [size=\"41745067\", alpha=\"0.18\", expect_size=\"12523520\"] \n  4 -> 5 [size =\"12523520\"]\n  5 [size=\"64354987\", alpha=\"0.17\", expect_size=\"19306496\"] \n  5 -> 6 [size =\"19306496\"]\n  6 [size=\"113558187\", alpha=\"0.02\", expect_size=\"34067456\"] \n  6 -> 7 [size =\"34067456\"]\n  7 [size=\"169355947\", alpha=\"0.06\", expect_size=\"50806784\"] \n  7 -> 8 [size =\"50806784\"]\n  8 [size=\"114080427\", alpha=\"0.06\", expect_size=\"34224128\"] \n  8 -> 9 [size =\"34224128\"]\n  9 [size=\"52145493\", alpha=\"0.11\", expect_size=\"15643648\"] \n  9 -> 10 [size =\"15643648\"]\n  10 [size=\"69000533\", alpha=\"0.03\", expect_size=\"20700160\"] \n  10 -> 11 [size =\"20700160\"]\n  11 [size=\"165338453\", alpha=\"0.05\", expect_size=\"49601536\"] \n  11 -> 12 [size =\"49601536\"]\n  12 [size=\"111066453\", alpha=\"0.09\", expect_size=\"33319936\"] \n  12 -> 13 [size =\"33319936\"]\n  13 [size=\"162706773\", alpha=\"0.13\", expect_size=\"48812032\"] \n  13 -> 14 [size =\"48812032\"]\n  14 [size=\"153238187\", alpha=\"0.20\", expect_size=\"45971456\"] \n  14 -> 15 [size =\"45971456\"]\n  15 [size=\"140171947\", alpha=\"0.10\", expect_size=\"42051584\"] \n  15 -> 16 [size =\"42051584\"]\n  16 [size=\"120224427\", alpha=\"0.03\", expect_size=\"36067328\"] \n  16 -> 17 [size =\"36067328\"]\n  17 [size=\"133389653\", alpha=\"0.15\", expect_size=\"40016896\"] \n  17 -> 18 [size =\"40016896\"]\n  18 [size=\"24702293\", alpha=\"0.11\", expect_size=\"7410688\"] \n  18 -> 19 [size =\"7410688\"]\n  19 [size=\"69850453\", alpha=\"0.17\", expect_size=\"20955136\"] \n  19 -> 20 [size =\"20955136\"]\n  20 [size=\"156965547\", alpha=\"0.05\", expect_size=\"47089664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58142720\", alpha=\"0.10\", expect_size=\"29071360\"] \n  1 -> 3 [size =\"29071360\"]\n  1 -> 4 [size =\"29071360\"]\n  2 [size=\"68243456\", alpha=\"0.09\", expect_size=\"34121728\"] \n  2 -> 3 [size =\"34121728\"]\n  2 -> 4 [size =\"34121728\"]\n  3 [size=\"76720128\", alpha=\"0.01\", expect_size=\"38360064\"] \n  3 -> 5 [size =\"38360064\"]\n  4 [size=\"20807680\", alpha=\"0.16\", expect_size=\"10403840\"] \n  5 [size=\"75665408\", alpha=\"0.03\", expect_size=\"37832704\"] \n  5 -> 6 [size =\"37832704\"]\n  6 [size=\"86114304\", alpha=\"0.17\", expect_size=\"43057152\"] \n  6 -> 7 [size =\"43057152\"]\n  6 -> 8 [size =\"43057152\"]\n  7 [size=\"83576832\", alpha=\"0.19\", expect_size=\"41788416\"] \n  7 -> 9 [size =\"41788416\"]\n  8 [size=\"53809152\", alpha=\"0.07\", expect_size=\"26904576\"] \n  8 -> 9 [size =\"26904576\"]\n  9 [size=\"96190464\", alpha=\"0.15\", expect_size=\"48095232\"] \n  9 -> 10 [size =\"48095232\"]\n  10 [size=\"65277952\", alpha=\"0.11\", expect_size=\"32638976\"] \n  10 -> 11 [size =\"32638976\"]\n  11 [size=\"85610496\", alpha=\"0.05\", expect_size=\"42805248\"] \n  11 -> 12 [size =\"42805248\"]\n  12 [size=\"36255744\", alpha=\"0.05\", expect_size=\"18127872\"] \n  12 -> 13 [size =\"18127872\"]\n  13 [size=\"78151680\", alpha=\"0.20\", expect_size=\"39075840\"] \n  13 -> 14 [size =\"39075840\"]\n  13 -> 15 [size =\"39075840\"]\n  14 [size=\"84727808\", alpha=\"0.13\", expect_size=\"42363904\"] \n  14 -> 16 [size =\"42363904\"]\n  14 -> 17 [size =\"42363904\"]\n  15 [size=\"65630208\", alpha=\"0.14\", expect_size=\"32815104\"] \n  15 -> 16 [size =\"32815104\"]\n  15 -> 17 [size =\"32815104\"]\n  16 [size=\"78604288\", alpha=\"0.16\", expect_size=\"39302144\"] \n  16 -> 18 [size =\"39302144\"]\n  17 [size=\"62908416\", alpha=\"0.04\", expect_size=\"31454208\"] \n  17 -> 19 [size =\"31454208\"]\n  18 [size=\"56582144\", alpha=\"0.14\", expect_size=\"28291072\"] \n  18 -> 20 [size =\"28291072\"]\n  19 [size=\"91408384\", alpha=\"0.03\", expect_size=\"45704192\"] \n  19 -> 20 [size =\"45704192\"]\n  20 [size=\"69511168\", alpha=\"0.05\", expect_size=\"34755584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52682240\", alpha=\"0.09\", expect_size=\"21072896\"] \n  1 -> 2 [size =\"21072896\"]\n  2 [size=\"112030720\", alpha=\"0.05\", expect_size=\"44812288\"] \n  2 -> 3 [size =\"44812288\"]\n  3 [size=\"24289280\", alpha=\"0.16\", expect_size=\"9715712\"] \n  3 -> 4 [size =\"9715712\"]\n  4 [size=\"61562880\", alpha=\"0.14\", expect_size=\"24625152\"] \n  4 -> 5 [size =\"24625152\"]\n  5 [size=\"96450560\", alpha=\"0.09\", expect_size=\"38580224\"] \n  5 -> 6 [size =\"38580224\"]\n  6 [size=\"102151680\", alpha=\"0.02\", expect_size=\"40860672\"] \n  6 -> 7 [size =\"40860672\"]\n  7 [size=\"47160320\", alpha=\"0.13\", expect_size=\"18864128\"] \n  7 -> 8 [size =\"18864128\"]\n  8 [size=\"127953920\", alpha=\"0.05\", expect_size=\"51181568\"] \n  8 -> 9 [size =\"51181568\"]\n  9 [size=\"46684160\", alpha=\"0.07\", expect_size=\"18673664\"] \n  9 -> 10 [size =\"18673664\"]\n  10 [size=\"26685440\", alpha=\"0.04\", expect_size=\"10674176\"] \n  10 -> 11 [size =\"10674176\"]\n  11 [size=\"115829760\", alpha=\"0.01\", expect_size=\"46331904\"] \n  11 -> 12 [size =\"46331904\"]\n  12 [size=\"52213760\", alpha=\"0.13\", expect_size=\"20885504\"] \n  12 -> 13 [size =\"20885504\"]\n  13 [size=\"80335360\", alpha=\"0.02\", expect_size=\"32134144\"] \n  13 -> 14 [size =\"32134144\"]\n  14 [size=\"56834560\", alpha=\"0.08\", expect_size=\"22733824\"] \n  14 -> 15 [size =\"22733824\"]\n  15 [size=\"22492160\", alpha=\"0.11\", expect_size=\"8996864\"] \n  15 -> 16 [size =\"8996864\"]\n  16 [size=\"74705920\", alpha=\"0.06\", expect_size=\"29882368\"] \n  16 -> 17 [size =\"29882368\"]\n  17 [size=\"85765120\", alpha=\"0.13\", expect_size=\"34306048\"] \n  17 -> 18 [size =\"34306048\"]\n  18 [size=\"44922880\", alpha=\"0.17\", expect_size=\"17969152\"] \n  18 -> 19 [size =\"17969152\"]\n  19 [size=\"72358400\", alpha=\"0.11\", expect_size=\"28943360\"] \n  19 -> 20 [size =\"28943360\"]\n  20 [size=\"111623680\", alpha=\"0.18\", expect_size=\"44649472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46094336\", alpha=\"0.00\", expect_size=\"23047168\"] \n  1 -> 10 [size =\"23047168\"]\n  1 -> 11 [size =\"23047168\"]\n  1 -> 13 [size =\"23047168\"]\n  1 -> 14 [size =\"23047168\"]\n  2 [size=\"93278208\", alpha=\"0.14\", expect_size=\"46639104\"] \n  2 -> 9 [size =\"46639104\"]\n  2 -> 11 [size =\"46639104\"]\n  2 -> 14 [size =\"46639104\"]\n  2 -> 15 [size =\"46639104\"]\n  3 [size=\"32593920\", alpha=\"0.04\", expect_size=\"16296960\"] \n  4 [size=\"47034368\", alpha=\"0.19\", expect_size=\"23517184\"] \n  4 -> 9 [size =\"23517184\"]\n  4 -> 13 [size =\"23517184\"]\n  5 [size=\"60176384\", alpha=\"0.13\", expect_size=\"30088192\"] \n  5 -> 11 [size =\"30088192\"]\n  5 -> 14 [size =\"30088192\"]\n  5 -> 15 [size =\"30088192\"]\n  6 [size=\"82458624\", alpha=\"0.20\", expect_size=\"41229312\"] \n  6 -> 12 [size =\"41229312\"]\n  6 -> 15 [size =\"41229312\"]\n  7 [size=\"52625408\", alpha=\"0.12\", expect_size=\"26312704\"] \n  8 [size=\"64821248\", alpha=\"0.00\", expect_size=\"32410624\"] \n  8 -> 11 [size =\"32410624\"]\n  9 [size=\"43104256\", alpha=\"0.11\", expect_size=\"21552128\"] \n  9 -> 16 [size =\"21552128\"]\n  9 -> 18 [size =\"21552128\"]\n  9 -> 19 [size =\"21552128\"]\n  10 [size=\"15523840\", alpha=\"0.13\", expect_size=\"7761920\"] \n  10 -> 16 [size =\"7761920\"]\n  10 -> 17 [size =\"7761920\"]\n  10 -> 20 [size =\"7761920\"]\n  11 [size=\"13408256\", alpha=\"0.02\", expect_size=\"6704128\"] \n  11 -> 16 [size =\"6704128\"]\n  11 -> 17 [size =\"6704128\"]\n  12 [size=\"13408256\", alpha=\"0.14\", expect_size=\"6704128\"] \n  12 -> 17 [size =\"6704128\"]\n  12 -> 18 [size =\"6704128\"]\n  12 -> 19 [size =\"6704128\"]\n  13 [size=\"81778688\", alpha=\"0.18\", expect_size=\"40889344\"] \n  13 -> 16 [size =\"40889344\"]\n  13 -> 18 [size =\"40889344\"]\n  14 [size=\"101050368\", alpha=\"0.07\", expect_size=\"50525184\"] \n  14 -> 19 [size =\"50525184\"]\n  15 [size=\"97832960\", alpha=\"0.11\", expect_size=\"48916480\"] \n  15 -> 16 [size =\"48916480\"]\n  15 -> 17 [size =\"48916480\"]\n  15 -> 19 [size =\"48916480\"]\n  15 -> 20 [size =\"48916480\"]\n  16 [size=\"65974272\", alpha=\"0.12\", expect_size=\"32987136\"] \n  17 [size=\"64389120\", alpha=\"0.10\", expect_size=\"32194560\"] \n  18 [size=\"25139200\", alpha=\"0.14\", expect_size=\"12569600\"] \n  19 [size=\"26830848\", alpha=\"0.14\", expect_size=\"13415424\"] \n  20 [size=\"78028800\", alpha=\"0.06\", expect_size=\"39014400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36277760\", alpha=\"0.09\", expect_size=\"14511104\"] \n  1 -> 3 [size =\"14511104\"]\n  1 -> 4 [size =\"14511104\"]\n  2 [size=\"125649920\", alpha=\"0.04\", expect_size=\"50259968\"] \n  2 -> 3 [size =\"50259968\"]\n  3 [size=\"31928320\", alpha=\"0.03\", expect_size=\"12771328\"] \n  3 -> 6 [size =\"12771328\"]\n  4 [size=\"21155840\", alpha=\"0.07\", expect_size=\"8462336\"] \n  4 -> 5 [size =\"8462336\"]\n  4 -> 6 [size =\"8462336\"]\n  5 [size=\"78182400\", alpha=\"0.19\", expect_size=\"31272960\"] \n  5 -> 7 [size =\"31272960\"]\n  5 -> 8 [size =\"31272960\"]\n  6 [size=\"43494400\", alpha=\"0.04\", expect_size=\"17397760\"] \n  6 -> 7 [size =\"17397760\"]\n  7 [size=\"49866240\", alpha=\"0.03\", expect_size=\"19946496\"] \n  8 [size=\"119375360\", alpha=\"0.09\", expect_size=\"47750144\"] \n  8 -> 9 [size =\"47750144\"]\n  9 [size=\"54425600\", alpha=\"0.13\", expect_size=\"21770240\"] \n  9 -> 10 [size =\"21770240\"]\n  10 [size=\"36129280\", alpha=\"0.08\", expect_size=\"14451712\"] \n  10 -> 11 [size =\"14451712\"]\n  10 -> 12 [size =\"14451712\"]\n  11 [size=\"40780800\", alpha=\"0.09\", expect_size=\"16312320\"] \n  11 -> 13 [size =\"16312320\"]\n  12 [size=\"95377920\", alpha=\"0.00\", expect_size=\"38151168\"] \n  13 [size=\"119841280\", alpha=\"0.08\", expect_size=\"47936512\"] \n  13 -> 14 [size =\"47936512\"]\n  13 -> 15 [size =\"47936512\"]\n  14 [size=\"19271680\", alpha=\"0.04\", expect_size=\"7708672\"] \n  14 -> 17 [size =\"7708672\"]\n  15 [size=\"60495360\", alpha=\"0.08\", expect_size=\"24198144\"] \n  15 -> 16 [size =\"24198144\"]\n  16 [size=\"56332800\", alpha=\"0.02\", expect_size=\"22533120\"] \n  16 -> 18 [size =\"22533120\"]\n  16 -> 19 [size =\"22533120\"]\n  17 [size=\"80179200\", alpha=\"0.13\", expect_size=\"32071680\"] \n  17 -> 18 [size =\"32071680\"]\n  17 -> 19 [size =\"32071680\"]\n  18 [size=\"98606080\", alpha=\"0.14\", expect_size=\"39442432\"] \n  18 -> 20 [size =\"39442432\"]\n  19 [size=\"33446400\", alpha=\"0.07\", expect_size=\"13378560\"] \n  20 [size=\"112453120\", alpha=\"0.19\", expect_size=\"44981248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68932267\", alpha=\"0.19\", expect_size=\"20679680\"] \n  1 -> 5 [size =\"20679680\"]\n  1 -> 7 [size =\"20679680\"]\n  2 [size=\"30071467\", alpha=\"0.07\", expect_size=\"9021440\"] \n  2 -> 6 [size =\"9021440\"]\n  3 [size=\"96327680\", alpha=\"0.19\", expect_size=\"28898304\"] \n  4 [size=\"155255467\", alpha=\"0.15\", expect_size=\"46576640\"] \n  4 -> 5 [size =\"46576640\"]\n  4 -> 7 [size =\"46576640\"]\n  5 [size=\"25207467\", alpha=\"0.16\", expect_size=\"7562240\"] \n  5 -> 8 [size =\"7562240\"]\n  5 -> 10 [size =\"7562240\"]\n  5 -> 11 [size =\"7562240\"]\n  6 [size=\"45841067\", alpha=\"0.02\", expect_size=\"13752320\"] \n  7 [size=\"98478080\", alpha=\"0.08\", expect_size=\"29543424\"] \n  7 -> 8 [size =\"29543424\"]\n  7 -> 9 [size =\"29543424\"]\n  7 -> 11 [size =\"29543424\"]\n  8 [size=\"41574400\", alpha=\"0.07\", expect_size=\"12472320\"] \n  8 -> 13 [size =\"12472320\"]\n  9 [size=\"103778987\", alpha=\"0.12\", expect_size=\"31133696\"] \n  9 -> 13 [size =\"31133696\"]\n  10 [size=\"55780693\", alpha=\"0.05\", expect_size=\"16734208\"] \n  10 -> 12 [size =\"16734208\"]\n  11 [size=\"38683307\", alpha=\"0.12\", expect_size=\"11604992\"] \n  11 -> 14 [size =\"11604992\"]\n  12 [size=\"31761067\", alpha=\"0.17\", expect_size=\"9528320\"] \n  12 -> 15 [size =\"9528320\"]\n  12 -> 16 [size =\"9528320\"]\n  12 -> 17 [size =\"9528320\"]\n  13 [size=\"88890027\", alpha=\"0.09\", expect_size=\"26667008\"] \n  13 -> 15 [size =\"26667008\"]\n  13 -> 16 [size =\"26667008\"]\n  13 -> 18 [size =\"26667008\"]\n  14 [size=\"80373760\", alpha=\"0.08\", expect_size=\"24112128\"] \n  14 -> 17 [size =\"24112128\"]\n  14 -> 18 [size =\"24112128\"]\n  15 [size=\"38772053\", alpha=\"0.03\", expect_size=\"11631616\"] \n  16 [size=\"163273387\", alpha=\"0.07\", expect_size=\"48982016\"] \n  16 -> 19 [size =\"48982016\"]\n  16 -> 20 [size =\"48982016\"]\n  17 [size=\"20268373\", alpha=\"0.10\", expect_size=\"6080512\"] \n  18 [size=\"80513707\", alpha=\"0.17\", expect_size=\"24154112\"] \n  19 [size=\"132157440\", alpha=\"0.16\", expect_size=\"39647232\"] \n  20 [size=\"70536533\", alpha=\"0.19\", expect_size=\"21160960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103529813\", alpha=\"0.05\", expect_size=\"31058944\"] \n  1 -> 5 [size =\"31058944\"]\n  2 [size=\"49087147\", alpha=\"0.12\", expect_size=\"14726144\"] \n  3 [size=\"63242240\", alpha=\"0.17\", expect_size=\"18972672\"] \n  3 -> 4 [size =\"18972672\"]\n  3 -> 5 [size =\"18972672\"]\n  3 -> 6 [size =\"18972672\"]\n  3 -> 7 [size =\"18972672\"]\n  4 [size=\"39079253\", alpha=\"0.07\", expect_size=\"11723776\"] \n  4 -> 8 [size =\"11723776\"]\n  4 -> 9 [size =\"11723776\"]\n  5 [size=\"161071787\", alpha=\"0.08\", expect_size=\"48321536\"] \n  5 -> 10 [size =\"48321536\"]\n  6 [size=\"122101760\", alpha=\"0.20\", expect_size=\"36630528\"] \n  6 -> 10 [size =\"36630528\"]\n  7 [size=\"141602133\", alpha=\"0.18\", expect_size=\"42480640\"] \n  7 -> 8 [size =\"42480640\"]\n  8 [size=\"114271573\", alpha=\"0.04\", expect_size=\"34281472\"] \n  8 -> 13 [size =\"34281472\"]\n  9 [size=\"63911253\", alpha=\"0.02\", expect_size=\"19173376\"] \n  9 -> 11 [size =\"19173376\"]\n  9 -> 12 [size =\"19173376\"]\n  9 -> 13 [size =\"19173376\"]\n  10 [size=\"99945813\", alpha=\"0.13\", expect_size=\"29983744\"] \n  10 -> 11 [size =\"29983744\"]\n  10 -> 12 [size =\"29983744\"]\n  11 [size=\"41666560\", alpha=\"0.06\", expect_size=\"12499968\"] \n  11 -> 14 [size =\"12499968\"]\n  11 -> 16 [size =\"12499968\"]\n  11 -> 17 [size =\"12499968\"]\n  12 [size=\"79977813\", alpha=\"0.09\", expect_size=\"23993344\"] \n  12 -> 15 [size =\"23993344\"]\n  13 [size=\"170656427\", alpha=\"0.10\", expect_size=\"51196928\"] \n  13 -> 16 [size =\"51196928\"]\n  14 [size=\"149858987\", alpha=\"0.13\", expect_size=\"44957696\"] \n  14 -> 20 [size =\"44957696\"]\n  15 [size=\"46021973\", alpha=\"0.06\", expect_size=\"13806592\"] \n  15 -> 18 [size =\"13806592\"]\n  15 -> 20 [size =\"13806592\"]\n  16 [size=\"112622933\", alpha=\"0.15\", expect_size=\"33786880\"] \n  16 -> 19 [size =\"33786880\"]\n  17 [size=\"112052907\", alpha=\"0.12\", expect_size=\"33615872\"] \n  17 -> 19 [size =\"33615872\"]\n  18 [size=\"97634987\", alpha=\"0.02\", expect_size=\"29290496\"] \n  19 [size=\"128215040\", alpha=\"0.02\", expect_size=\"38464512\"] \n  20 [size=\"146530987\", alpha=\"0.06\", expect_size=\"43959296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24784213\", alpha=\"0.02\", expect_size=\"7435264\"] \n  1 -> 2 [size =\"7435264\"]\n  2 [size=\"63112533\", alpha=\"0.10\", expect_size=\"18933760\"] \n  2 -> 3 [size =\"18933760\"]\n  3 [size=\"154589867\", alpha=\"0.09\", expect_size=\"46376960\"] \n  3 -> 4 [size =\"46376960\"]\n  4 [size=\"53360640\", alpha=\"0.16\", expect_size=\"16008192\"] \n  4 -> 5 [size =\"16008192\"]\n  5 [size=\"145302187\", alpha=\"0.14\", expect_size=\"43590656\"] \n  5 -> 6 [size =\"43590656\"]\n  6 [size=\"166413653\", alpha=\"0.02\", expect_size=\"49924096\"] \n  6 -> 7 [size =\"49924096\"]\n  7 [size=\"25026560\", alpha=\"0.05\", expect_size=\"7507968\"] \n  7 -> 8 [size =\"7507968\"]\n  8 [size=\"172554240\", alpha=\"0.10\", expect_size=\"51766272\"] \n  8 -> 9 [size =\"51766272\"]\n  9 [size=\"142274560\", alpha=\"0.11\", expect_size=\"42682368\"] \n  9 -> 10 [size =\"42682368\"]\n  10 [size=\"112080213\", alpha=\"0.16\", expect_size=\"33624064\"] \n  10 -> 11 [size =\"33624064\"]\n  11 [size=\"125392213\", alpha=\"0.04\", expect_size=\"37617664\"] \n  11 -> 12 [size =\"37617664\"]\n  12 [size=\"143148373\", alpha=\"0.04\", expect_size=\"42944512\"] \n  12 -> 13 [size =\"42944512\"]\n  13 [size=\"60747093\", alpha=\"0.12\", expect_size=\"18224128\"] \n  13 -> 14 [size =\"18224128\"]\n  14 [size=\"134324907\", alpha=\"0.15\", expect_size=\"40297472\"] \n  14 -> 15 [size =\"40297472\"]\n  15 [size=\"102512640\", alpha=\"0.01\", expect_size=\"30753792\"] \n  15 -> 16 [size =\"30753792\"]\n  16 [size=\"52838400\", alpha=\"0.10\", expect_size=\"15851520\"] \n  16 -> 17 [size =\"15851520\"]\n  17 [size=\"69703680\", alpha=\"0.13\", expect_size=\"20911104\"] \n  17 -> 18 [size =\"20911104\"]\n  18 [size=\"106147840\", alpha=\"0.16\", expect_size=\"31844352\"] \n  18 -> 19 [size =\"31844352\"]\n  19 [size=\"23722667\", alpha=\"0.15\", expect_size=\"7116800\"] \n  19 -> 20 [size =\"7116800\"]\n  20 [size=\"107786240\", alpha=\"0.05\", expect_size=\"32335872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38109184\", alpha=\"0.00\", expect_size=\"19054592\"] \n  1 -> 19 [size =\"19054592\"]\n  2 [size=\"88270848\", alpha=\"0.08\", expect_size=\"44135424\"] \n  2 -> 19 [size =\"44135424\"]\n  3 [size=\"63027200\", alpha=\"0.05\", expect_size=\"31513600\"] \n  3 -> 19 [size =\"31513600\"]\n  4 [size=\"27002880\", alpha=\"0.05\", expect_size=\"13501440\"] \n  4 -> 19 [size =\"13501440\"]\n  5 [size=\"49653760\", alpha=\"0.16\", expect_size=\"24826880\"] \n  6 [size=\"33853440\", alpha=\"0.01\", expect_size=\"16926720\"] \n  6 -> 19 [size =\"16926720\"]\n  7 [size=\"97026048\", alpha=\"0.02\", expect_size=\"48513024\"] \n  7 -> 18 [size =\"48513024\"]\n  8 [size=\"39780352\", alpha=\"0.01\", expect_size=\"19890176\"] \n  9 [size=\"83722240\", alpha=\"0.11\", expect_size=\"41861120\"] \n  10 [size=\"97761280\", alpha=\"0.06\", expect_size=\"48880640\"] \n  10 -> 19 [size =\"48880640\"]\n  11 [size=\"60061696\", alpha=\"0.02\", expect_size=\"30030848\"] \n  11 -> 19 [size =\"30030848\"]\n  12 [size=\"62015488\", alpha=\"0.03\", expect_size=\"31007744\"] \n  12 -> 18 [size =\"31007744\"]\n  12 -> 19 [size =\"31007744\"]\n  13 [size=\"99213312\", alpha=\"0.08\", expect_size=\"49606656\"] \n  13 -> 18 [size =\"49606656\"]\n  13 -> 19 [size =\"49606656\"]\n  13 -> 20 [size =\"49606656\"]\n  14 [size=\"29450240\", alpha=\"0.04\", expect_size=\"14725120\"] \n  14 -> 19 [size =\"14725120\"]\n  15 [size=\"50724864\", alpha=\"0.19\", expect_size=\"25362432\"] \n  15 -> 19 [size =\"25362432\"]\n  16 [size=\"30308352\", alpha=\"0.08\", expect_size=\"15154176\"] \n  16 -> 19 [size =\"15154176\"]\n  17 [size=\"35119104\", alpha=\"0.03\", expect_size=\"17559552\"] \n  18 [size=\"43055104\", alpha=\"0.12\", expect_size=\"21527552\"] \n  19 [size=\"50051072\", alpha=\"0.12\", expect_size=\"25025536\"] \n  20 [size=\"101273600\", alpha=\"0.17\", expect_size=\"50636800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52766720\", alpha=\"0.14\", expect_size=\"21106688\"] \n  1 -> 2 [size =\"21106688\"]\n  1 -> 3 [size =\"21106688\"]\n  2 [size=\"90457600\", alpha=\"0.06\", expect_size=\"36183040\"] \n  3 [size=\"117560320\", alpha=\"0.08\", expect_size=\"47024128\"] \n  3 -> 4 [size =\"47024128\"]\n  3 -> 5 [size =\"47024128\"]\n  4 [size=\"72442880\", alpha=\"0.19\", expect_size=\"28977152\"] \n  5 [size=\"18890240\", alpha=\"0.09\", expect_size=\"7556096\"] \n  5 -> 6 [size =\"7556096\"]\n  6 [size=\"101314560\", alpha=\"0.00\", expect_size=\"40525824\"] \n  6 -> 7 [size =\"40525824\"]\n  7 [size=\"41948160\", alpha=\"0.18\", expect_size=\"16779264\"] \n  7 -> 8 [size =\"16779264\"]\n  7 -> 9 [size =\"16779264\"]\n  8 [size=\"93944320\", alpha=\"0.14\", expect_size=\"37577728\"] \n  9 [size=\"125644800\", alpha=\"0.07\", expect_size=\"50257920\"] \n  9 -> 10 [size =\"50257920\"]\n  10 [size=\"56724480\", alpha=\"0.17\", expect_size=\"22689792\"] \n  10 -> 11 [size =\"22689792\"]\n  10 -> 12 [size =\"22689792\"]\n  11 [size=\"127854080\", alpha=\"0.05\", expect_size=\"51141632\"] \n  11 -> 13 [size =\"51141632\"]\n  12 [size=\"93667840\", alpha=\"0.11\", expect_size=\"37467136\"] \n  12 -> 13 [size =\"37467136\"]\n  12 -> 14 [size =\"37467136\"]\n  13 [size=\"131061760\", alpha=\"0.13\", expect_size=\"52424704\"] \n  13 -> 15 [size =\"52424704\"]\n  14 [size=\"59261440\", alpha=\"0.14\", expect_size=\"23704576\"] \n  14 -> 15 [size =\"23704576\"]\n  15 [size=\"50565120\", alpha=\"0.08\", expect_size=\"20226048\"] \n  15 -> 16 [size =\"20226048\"]\n  15 -> 17 [size =\"20226048\"]\n  16 [size=\"100899840\", alpha=\"0.10\", expect_size=\"40359936\"] \n  16 -> 18 [size =\"40359936\"]\n  16 -> 19 [size =\"40359936\"]\n  17 [size=\"101189120\", alpha=\"0.10\", expect_size=\"40475648\"] \n  17 -> 18 [size =\"40475648\"]\n  17 -> 19 [size =\"40475648\"]\n  18 [size=\"90048000\", alpha=\"0.18\", expect_size=\"36019200\"] \n  18 -> 20 [size =\"36019200\"]\n  19 [size=\"51985920\", alpha=\"0.05\", expect_size=\"20794368\"] \n  19 -> 20 [size =\"20794368\"]\n  20 [size=\"93509120\", alpha=\"0.09\", expect_size=\"37403648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47792640\", alpha=\"0.11\", expect_size=\"19117056\"] \n  1 -> 2 [size =\"19117056\"]\n  2 [size=\"104435200\", alpha=\"0.07\", expect_size=\"41774080\"] \n  2 -> 3 [size =\"41774080\"]\n  3 [size=\"108131840\", alpha=\"0.03\", expect_size=\"43252736\"] \n  3 -> 4 [size =\"43252736\"]\n  4 [size=\"37352960\", alpha=\"0.15\", expect_size=\"14941184\"] \n  4 -> 5 [size =\"14941184\"]\n  5 [size=\"44459520\", alpha=\"0.18\", expect_size=\"17783808\"] \n  5 -> 6 [size =\"17783808\"]\n  6 [size=\"71879680\", alpha=\"0.15\", expect_size=\"28751872\"] \n  6 -> 7 [size =\"28751872\"]\n  7 [size=\"64640000\", alpha=\"0.11\", expect_size=\"25856000\"] \n  7 -> 8 [size =\"25856000\"]\n  8 [size=\"109409280\", alpha=\"0.03\", expect_size=\"43763712\"] \n  8 -> 9 [size =\"43763712\"]\n  9 [size=\"33090560\", alpha=\"0.09\", expect_size=\"13236224\"] \n  9 -> 10 [size =\"13236224\"]\n  10 [size=\"29644800\", alpha=\"0.04\", expect_size=\"11857920\"] \n  10 -> 11 [size =\"11857920\"]\n  11 [size=\"29972480\", alpha=\"0.12\", expect_size=\"11988992\"] \n  11 -> 12 [size =\"11988992\"]\n  12 [size=\"92487680\", alpha=\"0.07\", expect_size=\"36995072\"] \n  12 -> 13 [size =\"36995072\"]\n  13 [size=\"14704640\", alpha=\"0.14\", expect_size=\"5881856\"] \n  13 -> 14 [size =\"5881856\"]\n  14 [size=\"34890240\", alpha=\"0.07\", expect_size=\"13956096\"] \n  14 -> 15 [size =\"13956096\"]\n  15 [size=\"123448320\", alpha=\"0.09\", expect_size=\"49379328\"] \n  15 -> 16 [size =\"49379328\"]\n  16 [size=\"110632960\", alpha=\"0.10\", expect_size=\"44253184\"] \n  16 -> 17 [size =\"44253184\"]\n  17 [size=\"83348480\", alpha=\"0.16\", expect_size=\"33339392\"] \n  17 -> 18 [size =\"33339392\"]\n  18 [size=\"27804160\", alpha=\"0.14\", expect_size=\"11121664\"] \n  18 -> 19 [size =\"11121664\"]\n  19 [size=\"44636160\", alpha=\"0.09\", expect_size=\"17854464\"] \n  19 -> 20 [size =\"17854464\"]\n  20 [size=\"97259520\", alpha=\"0.12\", expect_size=\"38903808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101613568\", alpha=\"0.16\", expect_size=\"50806784\"] \n  1 -> 5 [size =\"50806784\"]\n  1 -> 6 [size =\"50806784\"]\n  1 -> 7 [size =\"50806784\"]\n  1 -> 9 [size =\"50806784\"]\n  1 -> 10 [size =\"50806784\"]\n  1 -> 11 [size =\"50806784\"]\n  1 -> 12 [size =\"50806784\"]\n  1 -> 13 [size =\"50806784\"]\n  2 [size=\"68552704\", alpha=\"0.02\", expect_size=\"34276352\"] \n  2 -> 5 [size =\"34276352\"]\n  2 -> 6 [size =\"34276352\"]\n  2 -> 7 [size =\"34276352\"]\n  2 -> 9 [size =\"34276352\"]\n  2 -> 10 [size =\"34276352\"]\n  2 -> 11 [size =\"34276352\"]\n  2 -> 12 [size =\"34276352\"]\n  3 [size=\"96686080\", alpha=\"0.04\", expect_size=\"48343040\"] \n  3 -> 5 [size =\"48343040\"]\n  3 -> 6 [size =\"48343040\"]\n  3 -> 7 [size =\"48343040\"]\n  3 -> 8 [size =\"48343040\"]\n  3 -> 9 [size =\"48343040\"]\n  3 -> 11 [size =\"48343040\"]\n  3 -> 12 [size =\"48343040\"]\n  4 [size=\"15726592\", alpha=\"0.13\", expect_size=\"7863296\"] \n  4 -> 5 [size =\"7863296\"]\n  4 -> 6 [size =\"7863296\"]\n  4 -> 10 [size =\"7863296\"]\n  4 -> 11 [size =\"7863296\"]\n  4 -> 12 [size =\"7863296\"]\n  4 -> 13 [size =\"7863296\"]\n  5 [size=\"28594176\", alpha=\"0.10\", expect_size=\"14297088\"] \n  5 -> 18 [size =\"14297088\"]\n  6 [size=\"71260160\", alpha=\"0.13\", expect_size=\"35630080\"] \n  6 -> 14 [size =\"35630080\"]\n  6 -> 15 [size =\"35630080\"]\n  6 -> 18 [size =\"35630080\"]\n  7 [size=\"89194496\", alpha=\"0.13\", expect_size=\"44597248\"] \n  8 [size=\"34025472\", alpha=\"0.03\", expect_size=\"17012736\"] \n  8 -> 15 [size =\"17012736\"]\n  9 [size=\"60626944\", alpha=\"0.12\", expect_size=\"30313472\"] \n  9 -> 14 [size =\"30313472\"]\n  9 -> 18 [size =\"30313472\"]\n  10 [size=\"61679616\", alpha=\"0.15\", expect_size=\"30839808\"] \n  10 -> 14 [size =\"30839808\"]\n  10 -> 16 [size =\"30839808\"]\n  10 -> 17 [size =\"30839808\"]\n  10 -> 18 [size =\"30839808\"]\n  11 [size=\"101191680\", alpha=\"0.02\", expect_size=\"50595840\"] \n  12 [size=\"84060160\", alpha=\"0.01\", expect_size=\"42030080\"] \n  12 -> 14 [size =\"42030080\"]\n  12 -> 15 [size =\"42030080\"]\n  13 [size=\"93079552\", alpha=\"0.06\", expect_size=\"46539776\"] \n  13 -> 18 [size =\"46539776\"]\n  14 [size=\"18939904\", alpha=\"0.12\", expect_size=\"9469952\"] \n  14 -> 19 [size =\"9469952\"]\n  14 -> 20 [size =\"9469952\"]\n  15 [size=\"79017984\", alpha=\"0.01\", expect_size=\"39508992\"] \n  15 -> 19 [size =\"39508992\"]\n  16 [size=\"32983040\", alpha=\"0.13\", expect_size=\"16491520\"] \n  16 -> 19 [size =\"16491520\"]\n  17 [size=\"93272064\", alpha=\"0.18\", expect_size=\"46636032\"] \n  17 -> 19 [size =\"46636032\"]\n  18 [size=\"58021888\", alpha=\"0.10\", expect_size=\"29010944\"] \n  18 -> 19 [size =\"29010944\"]\n  18 -> 20 [size =\"29010944\"]\n  19 [size=\"71839744\", alpha=\"0.09\", expect_size=\"35919872\"] \n  20 [size=\"34617344\", alpha=\"0.02\", expect_size=\"17308672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73138176\", alpha=\"0.01\", expect_size=\"36569088\"] \n  1 -> 3 [size =\"36569088\"]\n  1 -> 4 [size =\"36569088\"]\n  2 [size=\"63424512\", alpha=\"0.08\", expect_size=\"31712256\"] \n  2 -> 3 [size =\"31712256\"]\n  2 -> 4 [size =\"31712256\"]\n  3 [size=\"102477824\", alpha=\"0.05\", expect_size=\"51238912\"] \n  3 -> 5 [size =\"51238912\"]\n  4 [size=\"33912832\", alpha=\"0.12\", expect_size=\"16956416\"] \n  4 -> 5 [size =\"16956416\"]\n  5 [size=\"31094784\", alpha=\"0.11\", expect_size=\"15547392\"] \n  5 -> 6 [size =\"15547392\"]\n  6 [size=\"32071680\", alpha=\"0.17\", expect_size=\"16035840\"] \n  6 -> 7 [size =\"16035840\"]\n  6 -> 8 [size =\"16035840\"]\n  7 [size=\"100984832\", alpha=\"0.02\", expect_size=\"50492416\"] \n  7 -> 9 [size =\"50492416\"]\n  8 [size=\"12425216\", alpha=\"0.18\", expect_size=\"6212608\"] \n  8 -> 9 [size =\"6212608\"]\n  8 -> 10 [size =\"6212608\"]\n  9 [size=\"63731712\", alpha=\"0.19\", expect_size=\"31865856\"] \n  9 -> 11 [size =\"31865856\"]\n  9 -> 12 [size =\"31865856\"]\n  10 [size=\"41891840\", alpha=\"0.01\", expect_size=\"20945920\"] \n  10 -> 11 [size =\"20945920\"]\n  10 -> 12 [size =\"20945920\"]\n  11 [size=\"91082752\", alpha=\"0.16\", expect_size=\"45541376\"] \n  11 -> 13 [size =\"45541376\"]\n  12 [size=\"96821248\", alpha=\"0.06\", expect_size=\"48410624\"] \n  12 -> 13 [size =\"48410624\"]\n  13 [size=\"40615936\", alpha=\"0.01\", expect_size=\"20307968\"] \n  13 -> 14 [size =\"20307968\"]\n  14 [size=\"64593920\", alpha=\"0.01\", expect_size=\"32296960\"] \n  14 -> 15 [size =\"32296960\"]\n  14 -> 16 [size =\"32296960\"]\n  15 [size=\"26238976\", alpha=\"0.12\", expect_size=\"13119488\"] \n  15 -> 17 [size =\"13119488\"]\n  16 [size=\"77826048\", alpha=\"0.14\", expect_size=\"38913024\"] \n  16 -> 17 [size =\"38913024\"]\n  17 [size=\"63512576\", alpha=\"0.06\", expect_size=\"31756288\"] \n  17 -> 18 [size =\"31756288\"]\n  18 [size=\"72034304\", alpha=\"0.15\", expect_size=\"36017152\"] \n  18 -> 19 [size =\"36017152\"]\n  18 -> 20 [size =\"36017152\"]\n  19 [size=\"61769728\", alpha=\"0.09\", expect_size=\"30884864\"] \n  20 [size=\"56956928\", alpha=\"0.11\", expect_size=\"28478464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76823893\", alpha=\"0.13\", expect_size=\"23047168\"] \n  1 -> 2 [size =\"23047168\"]\n  2 [size=\"135212373\", alpha=\"0.04\", expect_size=\"40563712\"] \n  2 -> 3 [size =\"40563712\"]\n  3 [size=\"173213013\", alpha=\"0.18\", expect_size=\"51963904\"] \n  3 -> 4 [size =\"51963904\"]\n  4 [size=\"52705280\", alpha=\"0.17\", expect_size=\"15811584\"] \n  4 -> 5 [size =\"15811584\"]\n  5 [size=\"110305280\", alpha=\"0.01\", expect_size=\"33091584\"] \n  5 -> 6 [size =\"33091584\"]\n  6 [size=\"64098987\", alpha=\"0.07\", expect_size=\"19229696\"] \n  6 -> 7 [size =\"19229696\"]\n  7 [size=\"111370240\", alpha=\"0.15\", expect_size=\"33411072\"] \n  7 -> 8 [size =\"33411072\"]\n  8 [size=\"104632320\", alpha=\"0.12\", expect_size=\"31389696\"] \n  8 -> 9 [size =\"31389696\"]\n  9 [size=\"68358827\", alpha=\"0.01\", expect_size=\"20507648\"] \n  9 -> 10 [size =\"20507648\"]\n  10 [size=\"56733013\", alpha=\"0.17\", expect_size=\"17019904\"] \n  10 -> 11 [size =\"17019904\"]\n  11 [size=\"103963307\", alpha=\"0.15\", expect_size=\"31188992\"] \n  11 -> 12 [size =\"31188992\"]\n  12 [size=\"49790293\", alpha=\"0.06\", expect_size=\"14937088\"] \n  12 -> 13 [size =\"14937088\"]\n  13 [size=\"77868373\", alpha=\"0.05\", expect_size=\"23360512\"] \n  13 -> 14 [size =\"23360512\"]\n  14 [size=\"64518827\", alpha=\"0.16\", expect_size=\"19355648\"] \n  14 -> 15 [size =\"19355648\"]\n  15 [size=\"42789547\", alpha=\"0.05\", expect_size=\"12836864\"] \n  15 -> 16 [size =\"12836864\"]\n  16 [size=\"52770133\", alpha=\"0.19\", expect_size=\"15831040\"] \n  16 -> 17 [size =\"15831040\"]\n  17 [size=\"104523093\", alpha=\"0.06\", expect_size=\"31356928\"] \n  17 -> 18 [size =\"31356928\"]\n  18 [size=\"67877547\", alpha=\"0.01\", expect_size=\"20363264\"] \n  18 -> 19 [size =\"20363264\"]\n  19 [size=\"160870400\", alpha=\"0.12\", expect_size=\"48261120\"] \n  19 -> 20 [size =\"48261120\"]\n  20 [size=\"172212907\", alpha=\"0.14\", expect_size=\"51663872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69504000\", alpha=\"0.05\", expect_size=\"27801600\"] \n  1 -> 5 [size =\"27801600\"]\n  1 -> 6 [size =\"27801600\"]\n  2 [size=\"83412480\", alpha=\"0.15\", expect_size=\"33364992\"] \n  2 -> 3 [size =\"33364992\"]\n  2 -> 4 [size =\"33364992\"]\n  3 [size=\"85465600\", alpha=\"0.14\", expect_size=\"34186240\"] \n  3 -> 10 [size =\"34186240\"]\n  3 -> 11 [size =\"34186240\"]\n  4 [size=\"58421760\", alpha=\"0.01\", expect_size=\"23368704\"] \n  4 -> 8 [size =\"23368704\"]\n  5 [size=\"90938880\", alpha=\"0.10\", expect_size=\"36375552\"] \n  5 -> 7 [size =\"36375552\"]\n  5 -> 8 [size =\"36375552\"]\n  5 -> 9 [size =\"36375552\"]\n  5 -> 11 [size =\"36375552\"]\n  6 [size=\"66275840\", alpha=\"0.09\", expect_size=\"26510336\"] \n  7 [size=\"129704960\", alpha=\"0.07\", expect_size=\"51881984\"] \n  8 [size=\"107614720\", alpha=\"0.16\", expect_size=\"43045888\"] \n  8 -> 12 [size =\"43045888\"]\n  9 [size=\"105141760\", alpha=\"0.10\", expect_size=\"42056704\"] \n  9 -> 14 [size =\"42056704\"]\n  10 [size=\"98869760\", alpha=\"0.01\", expect_size=\"39547904\"] \n  10 -> 13 [size =\"39547904\"]\n  10 -> 14 [size =\"39547904\"]\n  11 [size=\"119782400\", alpha=\"0.09\", expect_size=\"47912960\"] \n  11 -> 12 [size =\"47912960\"]\n  12 [size=\"33838080\", alpha=\"0.18\", expect_size=\"13535232\"] \n  12 -> 16 [size =\"13535232\"]\n  12 -> 17 [size =\"13535232\"]\n  13 [size=\"119882240\", alpha=\"0.05\", expect_size=\"47952896\"] \n  13 -> 15 [size =\"47952896\"]\n  13 -> 16 [size =\"47952896\"]\n  14 [size=\"87027200\", alpha=\"0.10\", expect_size=\"34810880\"] \n  14 -> 17 [size =\"34810880\"]\n  14 -> 18 [size =\"34810880\"]\n  15 [size=\"93017600\", alpha=\"0.12\", expect_size=\"37207040\"] \n  15 -> 19 [size =\"37207040\"]\n  16 [size=\"33566720\", alpha=\"0.13\", expect_size=\"13426688\"] \n  17 [size=\"87764480\", alpha=\"0.05\", expect_size=\"35105792\"] \n  18 [size=\"13680640\", alpha=\"0.16\", expect_size=\"5472256\"] \n  18 -> 19 [size =\"5472256\"]\n  18 -> 20 [size =\"5472256\"]\n  19 [size=\"108810240\", alpha=\"0.11\", expect_size=\"43524096\"] \n  20 [size=\"48627200\", alpha=\"0.12\", expect_size=\"19450880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89356800\", alpha=\"0.19\", expect_size=\"35742720\"] \n  1 -> 2 [size =\"35742720\"]\n  2 [size=\"37721600\", alpha=\"0.11\", expect_size=\"15088640\"] \n  2 -> 3 [size =\"15088640\"]\n  3 [size=\"48512000\", alpha=\"0.05\", expect_size=\"19404800\"] \n  3 -> 4 [size =\"19404800\"]\n  4 [size=\"65559040\", alpha=\"0.13\", expect_size=\"26223616\"] \n  4 -> 5 [size =\"26223616\"]\n  5 [size=\"125939200\", alpha=\"0.02\", expect_size=\"50375680\"] \n  5 -> 6 [size =\"50375680\"]\n  6 [size=\"118208000\", alpha=\"0.16\", expect_size=\"47283200\"] \n  6 -> 7 [size =\"47283200\"]\n  7 [size=\"55838720\", alpha=\"0.11\", expect_size=\"22335488\"] \n  7 -> 8 [size =\"22335488\"]\n  8 [size=\"53952000\", alpha=\"0.20\", expect_size=\"21580800\"] \n  8 -> 9 [size =\"21580800\"]\n  9 [size=\"108618240\", alpha=\"0.06\", expect_size=\"43447296\"] \n  9 -> 10 [size =\"43447296\"]\n  10 [size=\"124789760\", alpha=\"0.07\", expect_size=\"49915904\"] \n  10 -> 11 [size =\"49915904\"]\n  11 [size=\"116469760\", alpha=\"0.08\", expect_size=\"46587904\"] \n  11 -> 12 [size =\"46587904\"]\n  12 [size=\"110028800\", alpha=\"0.07\", expect_size=\"44011520\"] \n  12 -> 13 [size =\"44011520\"]\n  13 [size=\"59351040\", alpha=\"0.11\", expect_size=\"23740416\"] \n  13 -> 14 [size =\"23740416\"]\n  14 [size=\"89459200\", alpha=\"0.02\", expect_size=\"35783680\"] \n  14 -> 15 [size =\"35783680\"]\n  15 [size=\"45788160\", alpha=\"0.13\", expect_size=\"18315264\"] \n  15 -> 16 [size =\"18315264\"]\n  16 [size=\"58181120\", alpha=\"0.17\", expect_size=\"23272448\"] \n  16 -> 17 [size =\"23272448\"]\n  17 [size=\"35371520\", alpha=\"0.18\", expect_size=\"14148608\"] \n  17 -> 18 [size =\"14148608\"]\n  18 [size=\"103042560\", alpha=\"0.01\", expect_size=\"41217024\"] \n  18 -> 19 [size =\"41217024\"]\n  19 [size=\"102051840\", alpha=\"0.18\", expect_size=\"40820736\"] \n  19 -> 20 [size =\"40820736\"]\n  20 [size=\"19151360\", alpha=\"0.16\", expect_size=\"7660544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39206400\", alpha=\"0.14\", expect_size=\"15682560\"] \n  1 -> 4 [size =\"15682560\"]\n  2 [size=\"98734080\", alpha=\"0.02\", expect_size=\"39493632\"] \n  2 -> 3 [size =\"39493632\"]\n  2 -> 4 [size =\"39493632\"]\n  3 [size=\"123604480\", alpha=\"0.06\", expect_size=\"49441792\"] \n  3 -> 5 [size =\"49441792\"]\n  4 [size=\"33479680\", alpha=\"0.19\", expect_size=\"13391872\"] \n  4 -> 5 [size =\"13391872\"]\n  5 [size=\"61831680\", alpha=\"0.04\", expect_size=\"24732672\"] \n  5 -> 6 [size =\"24732672\"]\n  5 -> 7 [size =\"24732672\"]\n  6 [size=\"23813120\", alpha=\"0.01\", expect_size=\"9525248\"] \n  6 -> 8 [size =\"9525248\"]\n  7 [size=\"101995520\", alpha=\"0.18\", expect_size=\"40798208\"] \n  7 -> 8 [size =\"40798208\"]\n  8 [size=\"120778240\", alpha=\"0.04\", expect_size=\"48311296\"] \n  8 -> 9 [size =\"48311296\"]\n  8 -> 10 [size =\"48311296\"]\n  9 [size=\"69201920\", alpha=\"0.05\", expect_size=\"27680768\"] \n  9 -> 11 [size =\"27680768\"]\n  9 -> 12 [size =\"27680768\"]\n  10 [size=\"127726080\", alpha=\"0.15\", expect_size=\"51090432\"] \n  10 -> 11 [size =\"51090432\"]\n  10 -> 12 [size =\"51090432\"]\n  11 [size=\"113600000\", alpha=\"0.07\", expect_size=\"45440000\"] \n  11 -> 13 [size =\"45440000\"]\n  12 [size=\"77248000\", alpha=\"0.07\", expect_size=\"30899200\"] \n  12 -> 13 [size =\"30899200\"]\n  13 [size=\"90531840\", alpha=\"0.12\", expect_size=\"36212736\"] \n  13 -> 14 [size =\"36212736\"]\n  14 [size=\"124879360\", alpha=\"0.09\", expect_size=\"49951744\"] \n  14 -> 15 [size =\"49951744\"]\n  14 -> 16 [size =\"49951744\"]\n  15 [size=\"119068160\", alpha=\"0.09\", expect_size=\"47627264\"] \n  15 -> 17 [size =\"47627264\"]\n  15 -> 18 [size =\"47627264\"]\n  16 [size=\"26951680\", alpha=\"0.18\", expect_size=\"10780672\"] \n  16 -> 17 [size =\"10780672\"]\n  16 -> 18 [size =\"10780672\"]\n  17 [size=\"35368960\", alpha=\"0.19\", expect_size=\"14147584\"] \n  17 -> 19 [size =\"14147584\"]\n  17 -> 20 [size =\"14147584\"]\n  18 [size=\"24609280\", alpha=\"0.12\", expect_size=\"9843712\"] \n  18 -> 19 [size =\"9843712\"]\n  18 -> 20 [size =\"9843712\"]\n  19 [size=\"49454080\", alpha=\"0.03\", expect_size=\"19781632\"] \n  20 [size=\"81438720\", alpha=\"0.13\", expect_size=\"32575488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34799616\", alpha=\"0.00\", expect_size=\"17399808\"] \n  1 -> 9 [size =\"17399808\"]\n  1 -> 10 [size =\"17399808\"]\n  1 -> 11 [size =\"17399808\"]\n  2 [size=\"71661568\", alpha=\"0.12\", expect_size=\"35830784\"] \n  2 -> 9 [size =\"35830784\"]\n  2 -> 10 [size =\"35830784\"]\n  2 -> 12 [size =\"35830784\"]\n  3 [size=\"20779008\", alpha=\"0.14\", expect_size=\"10389504\"] \n  3 -> 9 [size =\"10389504\"]\n  3 -> 10 [size =\"10389504\"]\n  3 -> 12 [size =\"10389504\"]\n  3 -> 14 [size =\"10389504\"]\n  4 [size=\"60274688\", alpha=\"0.04\", expect_size=\"30137344\"] \n  4 -> 9 [size =\"30137344\"]\n  4 -> 11 [size =\"30137344\"]\n  4 -> 13 [size =\"30137344\"]\n  4 -> 14 [size =\"30137344\"]\n  5 [size=\"24633344\", alpha=\"0.13\", expect_size=\"12316672\"] \n  5 -> 9 [size =\"12316672\"]\n  5 -> 10 [size =\"12316672\"]\n  5 -> 11 [size =\"12316672\"]\n  5 -> 12 [size =\"12316672\"]\n  5 -> 14 [size =\"12316672\"]\n  5 -> 15 [size =\"12316672\"]\n  6 [size=\"41566208\", alpha=\"0.09\", expect_size=\"20783104\"] \n  6 -> 9 [size =\"20783104\"]\n  6 -> 12 [size =\"20783104\"]\n  6 -> 13 [size =\"20783104\"]\n  6 -> 14 [size =\"20783104\"]\n  6 -> 14 [size =\"20783104\"]\n  6 -> 15 [size =\"20783104\"]\n  7 [size=\"84957184\", alpha=\"0.04\", expect_size=\"42478592\"] \n  7 -> 10 [size =\"42478592\"]\n  7 -> 12 [size =\"42478592\"]\n  7 -> 15 [size =\"42478592\"]\n  8 [size=\"93755392\", alpha=\"0.03\", expect_size=\"46877696\"] \n  8 -> 9 [size =\"46877696\"]\n  8 -> 10 [size =\"46877696\"]\n  8 -> 11 [size =\"46877696\"]\n  8 -> 12 [size =\"46877696\"]\n  9 [size=\"57157632\", alpha=\"0.04\", expect_size=\"28578816\"] \n  9 -> 20 [size =\"28578816\"]\n  10 [size=\"57823232\", alpha=\"0.08\", expect_size=\"28911616\"] \n  10 -> 16 [size =\"28911616\"]\n  10 -> 17 [size =\"28911616\"]\n  10 -> 18 [size =\"28911616\"]\n  10 -> 20 [size =\"28911616\"]\n  11 [size=\"35966976\", alpha=\"0.01\", expect_size=\"17983488\"] \n  11 -> 16 [size =\"17983488\"]\n  11 -> 18 [size =\"17983488\"]\n  11 -> 18 [size =\"17983488\"]\n  12 [size=\"36835328\", alpha=\"0.04\", expect_size=\"18417664\"] \n  12 -> 16 [size =\"18417664\"]\n  12 -> 20 [size =\"18417664\"]\n  13 [size=\"94668800\", alpha=\"0.05\", expect_size=\"47334400\"] \n  13 -> 16 [size =\"47334400\"]\n  13 -> 17 [size =\"47334400\"]\n  13 -> 20 [size =\"47334400\"]\n  14 [size=\"67391488\", alpha=\"0.08\", expect_size=\"33695744\"] \n  14 -> 17 [size =\"33695744\"]\n  14 -> 17 [size =\"33695744\"]\n  14 -> 18 [size =\"33695744\"]\n  14 -> 19 [size =\"33695744\"]\n  14 -> 20 [size =\"33695744\"]\n  15 [size=\"84690944\", alpha=\"0.06\", expect_size=\"42345472\"] \n  15 -> 17 [size =\"42345472\"]\n  15 -> 20 [size =\"42345472\"]\n  16 [size=\"51750912\", alpha=\"0.17\", expect_size=\"25875456\"] \n  17 [size=\"93982720\", alpha=\"0.12\", expect_size=\"46991360\"] \n  18 [size=\"19105792\", alpha=\"0.12\", expect_size=\"9552896\"] \n  19 [size=\"33695744\", alpha=\"0.15\", expect_size=\"16847872\"] \n  20 [size=\"54224896\", alpha=\"0.14\", expect_size=\"27112448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103690240\", alpha=\"0.04\", expect_size=\"41476096\"] \n  1 -> 2 [size =\"41476096\"]\n  2 [size=\"61232640\", alpha=\"0.18\", expect_size=\"24493056\"] \n  2 -> 3 [size =\"24493056\"]\n  3 [size=\"72750080\", alpha=\"0.05\", expect_size=\"29100032\"] \n  3 -> 4 [size =\"29100032\"]\n  4 [size=\"33666560\", alpha=\"0.13\", expect_size=\"13466624\"] \n  4 -> 5 [size =\"13466624\"]\n  5 [size=\"130851840\", alpha=\"0.10\", expect_size=\"52340736\"] \n  5 -> 6 [size =\"52340736\"]\n  6 [size=\"64368640\", alpha=\"0.00\", expect_size=\"25747456\"] \n  6 -> 7 [size =\"25747456\"]\n  7 [size=\"121740800\", alpha=\"0.08\", expect_size=\"48696320\"] \n  7 -> 8 [size =\"48696320\"]\n  8 [size=\"117818880\", alpha=\"0.07\", expect_size=\"47127552\"] \n  8 -> 9 [size =\"47127552\"]\n  9 [size=\"113518080\", alpha=\"0.06\", expect_size=\"45407232\"] \n  9 -> 10 [size =\"45407232\"]\n  10 [size=\"96304640\", alpha=\"0.03\", expect_size=\"38521856\"] \n  10 -> 11 [size =\"38521856\"]\n  11 [size=\"104814080\", alpha=\"0.19\", expect_size=\"41925632\"] \n  11 -> 12 [size =\"41925632\"]\n  12 [size=\"13312000\", alpha=\"0.03\", expect_size=\"5324800\"] \n  12 -> 13 [size =\"5324800\"]\n  13 [size=\"121651200\", alpha=\"0.04\", expect_size=\"48660480\"] \n  13 -> 14 [size =\"48660480\"]\n  14 [size=\"33364480\", alpha=\"0.04\", expect_size=\"13345792\"] \n  14 -> 15 [size =\"13345792\"]\n  15 [size=\"111093760\", alpha=\"0.16\", expect_size=\"44437504\"] \n  15 -> 16 [size =\"44437504\"]\n  16 [size=\"53130240\", alpha=\"0.14\", expect_size=\"21252096\"] \n  16 -> 17 [size =\"21252096\"]\n  17 [size=\"55306240\", alpha=\"0.13\", expect_size=\"22122496\"] \n  17 -> 18 [size =\"22122496\"]\n  18 [size=\"102686720\", alpha=\"0.13\", expect_size=\"41074688\"] \n  18 -> 19 [size =\"41074688\"]\n  19 [size=\"26672640\", alpha=\"0.09\", expect_size=\"10669056\"] \n  19 -> 20 [size =\"10669056\"]\n  20 [size=\"62092800\", alpha=\"0.12\", expect_size=\"24837120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20568064\", alpha=\"0.04\", expect_size=\"10284032\"] \n  1 -> 2 [size =\"10284032\"]\n  2 [size=\"101666816\", alpha=\"0.10\", expect_size=\"50833408\"] \n  2 -> 3 [size =\"50833408\"]\n  3 [size=\"66615296\", alpha=\"0.07\", expect_size=\"33307648\"] \n  3 -> 4 [size =\"33307648\"]\n  4 [size=\"92573696\", alpha=\"0.08\", expect_size=\"46286848\"] \n  4 -> 5 [size =\"46286848\"]\n  5 [size=\"45146112\", alpha=\"0.06\", expect_size=\"22573056\"] \n  5 -> 6 [size =\"22573056\"]\n  6 [size=\"96770048\", alpha=\"0.03\", expect_size=\"48385024\"] \n  6 -> 7 [size =\"48385024\"]\n  7 [size=\"26118144\", alpha=\"0.19\", expect_size=\"13059072\"] \n  7 -> 8 [size =\"13059072\"]\n  8 [size=\"31076352\", alpha=\"0.06\", expect_size=\"15538176\"] \n  8 -> 9 [size =\"15538176\"]\n  9 [size=\"11073536\", alpha=\"0.07\", expect_size=\"5536768\"] \n  9 -> 10 [size =\"5536768\"]\n  10 [size=\"34052096\", alpha=\"0.02\", expect_size=\"17026048\"] \n  10 -> 11 [size =\"17026048\"]\n  11 [size=\"26562560\", alpha=\"0.10\", expect_size=\"13281280\"] \n  11 -> 12 [size =\"13281280\"]\n  12 [size=\"44165120\", alpha=\"0.08\", expect_size=\"22082560\"] \n  12 -> 13 [size =\"22082560\"]\n  13 [size=\"89040896\", alpha=\"0.06\", expect_size=\"44520448\"] \n  13 -> 14 [size =\"44520448\"]\n  14 [size=\"27297792\", alpha=\"0.01\", expect_size=\"13648896\"] \n  14 -> 15 [size =\"13648896\"]\n  15 [size=\"62955520\", alpha=\"0.14\", expect_size=\"31477760\"] \n  15 -> 16 [size =\"31477760\"]\n  16 [size=\"89622528\", alpha=\"0.06\", expect_size=\"44811264\"] \n  16 -> 17 [size =\"44811264\"]\n  17 [size=\"104822784\", alpha=\"0.03\", expect_size=\"52411392\"] \n  17 -> 18 [size =\"52411392\"]\n  18 [size=\"100034560\", alpha=\"0.10\", expect_size=\"50017280\"] \n  18 -> 19 [size =\"50017280\"]\n  19 [size=\"33132544\", alpha=\"0.12\", expect_size=\"16566272\"] \n  19 -> 20 [size =\"16566272\"]\n  20 [size=\"68431872\", alpha=\"0.06\", expect_size=\"34215936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117742080\", alpha=\"0.20\", expect_size=\"47096832\"] \n  1 -> 2 [size =\"47096832\"]\n  2 [size=\"25039360\", alpha=\"0.02\", expect_size=\"10015744\"] \n  2 -> 3 [size =\"10015744\"]\n  3 [size=\"41128960\", alpha=\"0.10\", expect_size=\"16451584\"] \n  3 -> 4 [size =\"16451584\"]\n  4 [size=\"81973760\", alpha=\"0.16\", expect_size=\"32789504\"] \n  4 -> 5 [size =\"32789504\"]\n  5 [size=\"63093760\", alpha=\"0.06\", expect_size=\"25237504\"] \n  5 -> 6 [size =\"25237504\"]\n  5 -> 7 [size =\"25237504\"]\n  6 [size=\"15211520\", alpha=\"0.09\", expect_size=\"6084608\"] \n  6 -> 8 [size =\"6084608\"]\n  6 -> 9 [size =\"6084608\"]\n  7 [size=\"44177920\", alpha=\"0.19\", expect_size=\"17671168\"] \n  7 -> 8 [size =\"17671168\"]\n  7 -> 9 [size =\"17671168\"]\n  8 [size=\"48990720\", alpha=\"0.17\", expect_size=\"19596288\"] \n  8 -> 10 [size =\"19596288\"]\n  9 [size=\"119221760\", alpha=\"0.14\", expect_size=\"47688704\"] \n  9 -> 11 [size =\"47688704\"]\n  10 [size=\"113451520\", alpha=\"0.01\", expect_size=\"45380608\"] \n  10 -> 12 [size =\"45380608\"]\n  11 [size=\"70568960\", alpha=\"0.14\", expect_size=\"28227584\"] \n  11 -> 13 [size =\"28227584\"]\n  12 [size=\"69678080\", alpha=\"0.08\", expect_size=\"27871232\"] \n  12 -> 14 [size =\"27871232\"]\n  12 -> 15 [size =\"27871232\"]\n  13 [size=\"82268160\", alpha=\"0.03\", expect_size=\"32907264\"] \n  13 -> 14 [size =\"32907264\"]\n  14 [size=\"24591360\", alpha=\"0.17\", expect_size=\"9836544\"] \n  14 -> 17 [size =\"9836544\"]\n  15 [size=\"119708160\", alpha=\"0.07\", expect_size=\"47883264\"] \n  15 -> 16 [size =\"47883264\"]\n  15 -> 17 [size =\"47883264\"]\n  16 [size=\"35082240\", alpha=\"0.06\", expect_size=\"14032896\"] \n  17 [size=\"90803200\", alpha=\"0.12\", expect_size=\"36321280\"] \n  17 -> 18 [size =\"36321280\"]\n  18 [size=\"85132800\", alpha=\"0.07\", expect_size=\"34053120\"] \n  18 -> 19 [size =\"34053120\"]\n  18 -> 20 [size =\"34053120\"]\n  19 [size=\"66864640\", alpha=\"0.18\", expect_size=\"26745856\"] \n  20 [size=\"29224960\", alpha=\"0.00\", expect_size=\"11689984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50853888\", alpha=\"0.05\", expect_size=\"25426944\"] \n  1 -> 3 [size =\"25426944\"]\n  1 -> 4 [size =\"25426944\"]\n  2 [size=\"58822656\", alpha=\"0.08\", expect_size=\"29411328\"] \n  2 -> 4 [size =\"29411328\"]\n  3 [size=\"23891968\", alpha=\"0.09\", expect_size=\"11945984\"] \n  3 -> 5 [size =\"11945984\"]\n  4 [size=\"38047744\", alpha=\"0.09\", expect_size=\"19023872\"] \n  4 -> 5 [size =\"19023872\"]\n  5 [size=\"77006848\", alpha=\"0.13\", expect_size=\"38503424\"] \n  5 -> 6 [size =\"38503424\"]\n  6 [size=\"80422912\", alpha=\"0.06\", expect_size=\"40211456\"] \n  6 -> 7 [size =\"40211456\"]\n  7 [size=\"89022464\", alpha=\"0.12\", expect_size=\"44511232\"] \n  7 -> 8 [size =\"44511232\"]\n  8 [size=\"26943488\", alpha=\"0.00\", expect_size=\"13471744\"] \n  8 -> 9 [size =\"13471744\"]\n  9 [size=\"22724608\", alpha=\"0.02\", expect_size=\"11362304\"] \n  9 -> 10 [size =\"11362304\"]\n  10 [size=\"41009152\", alpha=\"0.02\", expect_size=\"20504576\"] \n  10 -> 11 [size =\"20504576\"]\n  10 -> 12 [size =\"20504576\"]\n  11 [size=\"102027264\", alpha=\"0.02\", expect_size=\"51013632\"] \n  11 -> 13 [size =\"51013632\"]\n  11 -> 14 [size =\"51013632\"]\n  12 [size=\"31531008\", alpha=\"0.03\", expect_size=\"15765504\"] \n  12 -> 13 [size =\"15765504\"]\n  12 -> 14 [size =\"15765504\"]\n  13 [size=\"69421056\", alpha=\"0.04\", expect_size=\"34710528\"] \n  14 [size=\"18212864\", alpha=\"0.12\", expect_size=\"9106432\"] \n  14 -> 15 [size =\"9106432\"]\n  15 [size=\"59969536\", alpha=\"0.16\", expect_size=\"29984768\"] \n  15 -> 16 [size =\"29984768\"]\n  16 [size=\"25643008\", alpha=\"0.01\", expect_size=\"12821504\"] \n  16 -> 17 [size =\"12821504\"]\n  16 -> 18 [size =\"12821504\"]\n  17 [size=\"52924416\", alpha=\"0.08\", expect_size=\"26462208\"] \n  17 -> 19 [size =\"26462208\"]\n  18 [size=\"12916736\", alpha=\"0.03\", expect_size=\"6458368\"] \n  18 -> 19 [size =\"6458368\"]\n  19 [size=\"14082048\", alpha=\"0.10\", expect_size=\"7041024\"] \n  19 -> 20 [size =\"7041024\"]\n  20 [size=\"24340480\", alpha=\"0.16\", expect_size=\"12170240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112104107\", alpha=\"0.17\", expect_size=\"33631232\"] \n  1 -> 2 [size =\"33631232\"]\n  2 [size=\"70396587\", alpha=\"0.18\", expect_size=\"21118976\"] \n  2 -> 3 [size =\"21118976\"]\n  2 -> 4 [size =\"21118976\"]\n  3 [size=\"158306987\", alpha=\"0.15\", expect_size=\"47492096\"] \n  3 -> 5 [size =\"47492096\"]\n  3 -> 6 [size =\"47492096\"]\n  4 [size=\"81551360\", alpha=\"0.15\", expect_size=\"24465408\"] \n  4 -> 5 [size =\"24465408\"]\n  4 -> 6 [size =\"24465408\"]\n  5 [size=\"73383253\", alpha=\"0.02\", expect_size=\"22014976\"] \n  5 -> 7 [size =\"22014976\"]\n  6 [size=\"159798613\", alpha=\"0.19\", expect_size=\"47939584\"] \n  6 -> 7 [size =\"47939584\"]\n  7 [size=\"31105707\", alpha=\"0.13\", expect_size=\"9331712\"] \n  7 -> 8 [size =\"9331712\"]\n  8 [size=\"160778240\", alpha=\"0.19\", expect_size=\"48233472\"] \n  8 -> 9 [size =\"48233472\"]\n  9 [size=\"167567360\", alpha=\"0.20\", expect_size=\"50270208\"] \n  9 -> 10 [size =\"50270208\"]\n  9 -> 11 [size =\"50270208\"]\n  10 [size=\"135191893\", alpha=\"0.10\", expect_size=\"40557568\"] \n  10 -> 12 [size =\"40557568\"]\n  11 [size=\"95385600\", alpha=\"0.03\", expect_size=\"28615680\"] \n  11 -> 12 [size =\"28615680\"]\n  12 [size=\"69775360\", alpha=\"0.08\", expect_size=\"20932608\"] \n  12 -> 13 [size =\"20932608\"]\n  12 -> 14 [size =\"20932608\"]\n  13 [size=\"52026027\", alpha=\"0.09\", expect_size=\"15607808\"] \n  13 -> 15 [size =\"15607808\"]\n  13 -> 16 [size =\"15607808\"]\n  14 [size=\"167966720\", alpha=\"0.03\", expect_size=\"50390016\"] \n  14 -> 15 [size =\"50390016\"]\n  15 [size=\"126399147\", alpha=\"0.20\", expect_size=\"37919744\"] \n  15 -> 17 [size =\"37919744\"]\n  15 -> 18 [size =\"37919744\"]\n  16 [size=\"138656427\", alpha=\"0.15\", expect_size=\"41596928\"] \n  16 -> 17 [size =\"41596928\"]\n  16 -> 18 [size =\"41596928\"]\n  17 [size=\"131177813\", alpha=\"0.20\", expect_size=\"39353344\"] \n  17 -> 19 [size =\"39353344\"]\n  17 -> 20 [size =\"39353344\"]\n  18 [size=\"75461973\", alpha=\"0.07\", expect_size=\"22638592\"] \n  18 -> 20 [size =\"22638592\"]\n  19 [size=\"63846400\", alpha=\"0.06\", expect_size=\"19153920\"] \n  20 [size=\"62064640\", alpha=\"0.16\", expect_size=\"18619392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67445760\", alpha=\"0.14\", expect_size=\"26978304\"] \n  1 -> 11 [size =\"26978304\"]\n  1 -> 12 [size =\"26978304\"]\n  1 -> 14 [size =\"26978304\"]\n  1 -> 15 [size =\"26978304\"]\n  1 -> 17 [size =\"26978304\"]\n  1 -> 18 [size =\"26978304\"]\n  2 [size=\"102835200\", alpha=\"0.03\", expect_size=\"41134080\"] \n  2 -> 11 [size =\"41134080\"]\n  2 -> 15 [size =\"41134080\"]\n  2 -> 18 [size =\"41134080\"]\n  3 [size=\"67164160\", alpha=\"0.17\", expect_size=\"26865664\"] \n  3 -> 10 [size =\"26865664\"]\n  3 -> 11 [size =\"26865664\"]\n  3 -> 12 [size =\"26865664\"]\n  3 -> 15 [size =\"26865664\"]\n  4 [size=\"77219840\", alpha=\"0.12\", expect_size=\"30887936\"] \n  4 -> 13 [size =\"30887936\"]\n  4 -> 16 [size =\"30887936\"]\n  4 -> 17 [size =\"30887936\"]\n  4 -> 18 [size =\"30887936\"]\n  5 [size=\"101519360\", alpha=\"0.16\", expect_size=\"40607744\"] \n  5 -> 13 [size =\"40607744\"]\n  5 -> 16 [size =\"40607744\"]\n  6 [size=\"44436480\", alpha=\"0.13\", expect_size=\"17774592\"] \n  6 -> 10 [size =\"17774592\"]\n  6 -> 11 [size =\"17774592\"]\n  6 -> 13 [size =\"17774592\"]\n  6 -> 14 [size =\"17774592\"]\n  6 -> 17 [size =\"17774592\"]\n  7 [size=\"111764480\", alpha=\"0.18\", expect_size=\"44705792\"] \n  7 -> 12 [size =\"44705792\"]\n  7 -> 14 [size =\"44705792\"]\n  7 -> 17 [size =\"44705792\"]\n  8 [size=\"93806080\", alpha=\"0.05\", expect_size=\"37522432\"] \n  8 -> 11 [size =\"37522432\"]\n  8 -> 13 [size =\"37522432\"]\n  8 -> 14 [size =\"37522432\"]\n  8 -> 16 [size =\"37522432\"]\n  8 -> 17 [size =\"37522432\"]\n  9 [size=\"66920960\", alpha=\"0.17\", expect_size=\"26768384\"] \n  9 -> 11 [size =\"26768384\"]\n  9 -> 12 [size =\"26768384\"]\n  9 -> 14 [size =\"26768384\"]\n  9 -> 17 [size =\"26768384\"]\n  9 -> 18 [size =\"26768384\"]\n  10 [size=\"92062720\", alpha=\"0.13\", expect_size=\"36825088\"] \n  10 -> 20 [size =\"36825088\"]\n  11 [size=\"67947520\", alpha=\"0.14\", expect_size=\"27179008\"] \n  11 -> 19 [size =\"27179008\"]\n  12 [size=\"34711040\", alpha=\"0.16\", expect_size=\"13884416\"] \n  13 [size=\"54622720\", alpha=\"0.08\", expect_size=\"21849088\"] \n  13 -> 20 [size =\"21849088\"]\n  14 [size=\"34723840\", alpha=\"0.12\", expect_size=\"13889536\"] \n  15 [size=\"105638400\", alpha=\"0.16\", expect_size=\"42255360\"] \n  16 [size=\"81569280\", alpha=\"0.10\", expect_size=\"32627712\"] \n  16 -> 19 [size =\"32627712\"]\n  16 -> 20 [size =\"32627712\"]\n  17 [size=\"43123200\", alpha=\"0.16\", expect_size=\"17249280\"] \n  17 -> 20 [size =\"17249280\"]\n  18 [size=\"33876480\", alpha=\"0.12\", expect_size=\"13550592\"] \n  19 [size=\"64207360\", alpha=\"0.13\", expect_size=\"25682944\"] \n  20 [size=\"47938560\", alpha=\"0.12\", expect_size=\"19175424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88223744\", alpha=\"0.04\", expect_size=\"44111872\"] \n  1 -> 2 [size =\"44111872\"]\n  2 [size=\"26497024\", alpha=\"0.05\", expect_size=\"13248512\"] \n  2 -> 3 [size =\"13248512\"]\n  3 [size=\"27815936\", alpha=\"0.16\", expect_size=\"13907968\"] \n  3 -> 4 [size =\"13907968\"]\n  4 [size=\"104701952\", alpha=\"0.08\", expect_size=\"52350976\"] \n  4 -> 5 [size =\"52350976\"]\n  5 [size=\"22325248\", alpha=\"0.20\", expect_size=\"11162624\"] \n  5 -> 6 [size =\"11162624\"]\n  6 [size=\"58783744\", alpha=\"0.20\", expect_size=\"29391872\"] \n  6 -> 7 [size =\"29391872\"]\n  7 [size=\"30543872\", alpha=\"0.03\", expect_size=\"15271936\"] \n  7 -> 8 [size =\"15271936\"]\n  8 [size=\"91568128\", alpha=\"0.10\", expect_size=\"45784064\"] \n  8 -> 9 [size =\"45784064\"]\n  9 [size=\"73222144\", alpha=\"0.13\", expect_size=\"36611072\"] \n  9 -> 10 [size =\"36611072\"]\n  10 [size=\"78880768\", alpha=\"0.17\", expect_size=\"39440384\"] \n  10 -> 11 [size =\"39440384\"]\n  11 [size=\"35491840\", alpha=\"0.06\", expect_size=\"17745920\"] \n  11 -> 12 [size =\"17745920\"]\n  12 [size=\"55953408\", alpha=\"0.09\", expect_size=\"27976704\"] \n  12 -> 13 [size =\"27976704\"]\n  13 [size=\"81606656\", alpha=\"0.06\", expect_size=\"40803328\"] \n  13 -> 14 [size =\"40803328\"]\n  14 [size=\"60416000\", alpha=\"0.05\", expect_size=\"30208000\"] \n  14 -> 15 [size =\"30208000\"]\n  15 [size=\"97449984\", alpha=\"0.11\", expect_size=\"48724992\"] \n  15 -> 16 [size =\"48724992\"]\n  16 [size=\"97392640\", alpha=\"0.11\", expect_size=\"48696320\"] \n  16 -> 17 [size =\"48696320\"]\n  17 [size=\"96378880\", alpha=\"0.17\", expect_size=\"48189440\"] \n  17 -> 18 [size =\"48189440\"]\n  18 [size=\"13834240\", alpha=\"0.05\", expect_size=\"6917120\"] \n  18 -> 19 [size =\"6917120\"]\n  19 [size=\"59254784\", alpha=\"0.06\", expect_size=\"29627392\"] \n  19 -> 20 [size =\"29627392\"]\n  20 [size=\"27303936\", alpha=\"0.02\", expect_size=\"13651968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128358400\", alpha=\"0.13\", expect_size=\"51343360\"] \n  1 -> 2 [size =\"51343360\"]\n  2 [size=\"121909760\", alpha=\"0.05\", expect_size=\"48763904\"] \n  2 -> 3 [size =\"48763904\"]\n  3 [size=\"85744640\", alpha=\"0.19\", expect_size=\"34297856\"] \n  3 -> 4 [size =\"34297856\"]\n  4 [size=\"88729600\", alpha=\"0.16\", expect_size=\"35491840\"] \n  4 -> 5 [size =\"35491840\"]\n  5 [size=\"83537920\", alpha=\"0.11\", expect_size=\"33415168\"] \n  5 -> 6 [size =\"33415168\"]\n  6 [size=\"54919680\", alpha=\"0.05\", expect_size=\"21967872\"] \n  6 -> 7 [size =\"21967872\"]\n  7 [size=\"30632960\", alpha=\"0.11\", expect_size=\"12253184\"] \n  7 -> 8 [size =\"12253184\"]\n  8 [size=\"109568000\", alpha=\"0.04\", expect_size=\"43827200\"] \n  8 -> 9 [size =\"43827200\"]\n  9 [size=\"40314880\", alpha=\"0.16\", expect_size=\"16125952\"] \n  9 -> 10 [size =\"16125952\"]\n  10 [size=\"90703360\", alpha=\"0.07\", expect_size=\"36281344\"] \n  10 -> 11 [size =\"36281344\"]\n  11 [size=\"16153600\", alpha=\"0.09\", expect_size=\"6461440\"] \n  11 -> 12 [size =\"6461440\"]\n  12 [size=\"90073600\", alpha=\"0.11\", expect_size=\"36029440\"] \n  12 -> 13 [size =\"36029440\"]\n  13 [size=\"117744640\", alpha=\"0.16\", expect_size=\"47097856\"] \n  13 -> 14 [size =\"47097856\"]\n  14 [size=\"113561600\", alpha=\"0.20\", expect_size=\"45424640\"] \n  14 -> 15 [size =\"45424640\"]\n  15 [size=\"89725440\", alpha=\"0.13\", expect_size=\"35890176\"] \n  15 -> 16 [size =\"35890176\"]\n  16 [size=\"36016640\", alpha=\"0.09\", expect_size=\"14406656\"] \n  16 -> 17 [size =\"14406656\"]\n  17 [size=\"66229760\", alpha=\"0.02\", expect_size=\"26491904\"] \n  17 -> 18 [size =\"26491904\"]\n  18 [size=\"14443520\", alpha=\"0.15\", expect_size=\"5777408\"] \n  18 -> 19 [size =\"5777408\"]\n  19 [size=\"40281600\", alpha=\"0.10\", expect_size=\"16112640\"] \n  19 -> 20 [size =\"16112640\"]\n  20 [size=\"18823680\", alpha=\"0.12\", expect_size=\"7529472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68423680\", alpha=\"0.12\", expect_size=\"34211840\"] \n  1 -> 15 [size =\"34211840\"]\n  1 -> 19 [size =\"34211840\"]\n  1 -> 20 [size =\"34211840\"]\n  2 [size=\"62015488\", alpha=\"0.18\", expect_size=\"31007744\"] \n  2 -> 15 [size =\"31007744\"]\n  2 -> 20 [size =\"31007744\"]\n  3 [size=\"10958848\", alpha=\"0.04\", expect_size=\"5479424\"] \n  3 -> 15 [size =\"5479424\"]\n  3 -> 19 [size =\"5479424\"]\n  4 [size=\"86597632\", alpha=\"0.10\", expect_size=\"43298816\"] \n  4 -> 15 [size =\"43298816\"]\n  5 [size=\"15695872\", alpha=\"0.16\", expect_size=\"7847936\"] \n  5 -> 15 [size =\"7847936\"]\n  6 [size=\"46985216\", alpha=\"0.04\", expect_size=\"23492608\"] \n  6 -> 15 [size =\"23492608\"]\n  6 -> 16 [size =\"23492608\"]\n  6 -> 17 [size =\"23492608\"]\n  6 -> 18 [size =\"23492608\"]\n  6 -> 19 [size =\"23492608\"]\n  7 [size=\"21282816\", alpha=\"0.01\", expect_size=\"10641408\"] \n  7 -> 15 [size =\"10641408\"]\n  7 -> 19 [size =\"10641408\"]\n  8 [size=\"72361984\", alpha=\"0.14\", expect_size=\"36180992\"] \n  8 -> 15 [size =\"36180992\"]\n  8 -> 19 [size =\"36180992\"]\n  9 [size=\"59981824\", alpha=\"0.13\", expect_size=\"29990912\"] \n  9 -> 19 [size =\"29990912\"]\n  10 [size=\"81801216\", alpha=\"0.04\", expect_size=\"40900608\"] \n  10 -> 17 [size =\"40900608\"]\n  10 -> 19 [size =\"40900608\"]\n  11 [size=\"60991488\", alpha=\"0.01\", expect_size=\"30495744\"] \n  11 -> 17 [size =\"30495744\"]\n  11 -> 19 [size =\"30495744\"]\n  12 [size=\"25352192\", alpha=\"0.10\", expect_size=\"12676096\"] \n  12 -> 15 [size =\"12676096\"]\n  12 -> 16 [size =\"12676096\"]\n  12 -> 17 [size =\"12676096\"]\n  12 -> 19 [size =\"12676096\"]\n  13 [size=\"14080000\", alpha=\"0.20\", expect_size=\"7040000\"] \n  13 -> 17 [size =\"7040000\"]\n  13 -> 19 [size =\"7040000\"]\n  13 -> 20 [size =\"7040000\"]\n  14 [size=\"31438848\", alpha=\"0.19\", expect_size=\"15719424\"] \n  14 -> 17 [size =\"15719424\"]\n  14 -> 20 [size =\"15719424\"]\n  15 [size=\"79730688\", alpha=\"0.09\", expect_size=\"39865344\"] \n  16 [size=\"59432960\", alpha=\"0.18\", expect_size=\"29716480\"] \n  17 [size=\"76941312\", alpha=\"0.01\", expect_size=\"38470656\"] \n  18 [size=\"79321088\", alpha=\"0.13\", expect_size=\"39660544\"] \n  19 [size=\"49616896\", alpha=\"0.16\", expect_size=\"24808448\"] \n  20 [size=\"15693824\", alpha=\"0.13\", expect_size=\"7846912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134376107\", alpha=\"0.18\", expect_size=\"40312832\"] \n  1 -> 2 [size =\"40312832\"]\n  2 [size=\"77038933\", alpha=\"0.02\", expect_size=\"23111680\"] \n  2 -> 3 [size =\"23111680\"]\n  3 [size=\"162314240\", alpha=\"0.16\", expect_size=\"48694272\"] \n  3 -> 4 [size =\"48694272\"]\n  4 [size=\"73393493\", alpha=\"0.11\", expect_size=\"22018048\"] \n  4 -> 5 [size =\"22018048\"]\n  5 [size=\"89128960\", alpha=\"0.12\", expect_size=\"26738688\"] \n  5 -> 6 [size =\"26738688\"]\n  6 [size=\"165225813\", alpha=\"0.15\", expect_size=\"49567744\"] \n  6 -> 7 [size =\"49567744\"]\n  7 [size=\"159371947\", alpha=\"0.07\", expect_size=\"47811584\"] \n  7 -> 8 [size =\"47811584\"]\n  8 [size=\"111182507\", alpha=\"0.12\", expect_size=\"33354752\"] \n  8 -> 9 [size =\"33354752\"]\n  9 [size=\"48957440\", alpha=\"0.11\", expect_size=\"14687232\"] \n  9 -> 10 [size =\"14687232\"]\n  10 [size=\"148893013\", alpha=\"0.07\", expect_size=\"44667904\"] \n  10 -> 11 [size =\"44667904\"]\n  11 [size=\"147985067\", alpha=\"0.12\", expect_size=\"44395520\"] \n  11 -> 12 [size =\"44395520\"]\n  12 [size=\"134352213\", alpha=\"0.13\", expect_size=\"40305664\"] \n  12 -> 13 [size =\"40305664\"]\n  13 [size=\"153743360\", alpha=\"0.03\", expect_size=\"46123008\"] \n  13 -> 14 [size =\"46123008\"]\n  14 [size=\"122521600\", alpha=\"0.05\", expect_size=\"36756480\"] \n  14 -> 15 [size =\"36756480\"]\n  15 [size=\"53780480\", alpha=\"0.01\", expect_size=\"16134144\"] \n  15 -> 16 [size =\"16134144\"]\n  16 [size=\"145588907\", alpha=\"0.17\", expect_size=\"43676672\"] \n  16 -> 17 [size =\"43676672\"]\n  17 [size=\"103383040\", alpha=\"0.05\", expect_size=\"31014912\"] \n  17 -> 18 [size =\"31014912\"]\n  18 [size=\"161000107\", alpha=\"0.05\", expect_size=\"48300032\"] \n  18 -> 19 [size =\"48300032\"]\n  19 [size=\"101082453\", alpha=\"0.16\", expect_size=\"30324736\"] \n  19 -> 20 [size =\"30324736\"]\n  20 [size=\"29375147\", alpha=\"0.15\", expect_size=\"8812544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72747008\", alpha=\"0.18\", expect_size=\"36373504\"] \n  1 -> 8 [size =\"36373504\"]\n  1 -> 11 [size =\"36373504\"]\n  1 -> 14 [size =\"36373504\"]\n  1 -> 15 [size =\"36373504\"]\n  2 [size=\"92442624\", alpha=\"0.04\", expect_size=\"46221312\"] \n  2 -> 10 [size =\"46221312\"]\n  2 -> 11 [size =\"46221312\"]\n  2 -> 14 [size =\"46221312\"]\n  2 -> 15 [size =\"46221312\"]\n  3 [size=\"86179840\", alpha=\"0.19\", expect_size=\"43089920\"] \n  3 -> 9 [size =\"43089920\"]\n  3 -> 14 [size =\"43089920\"]\n  4 [size=\"62674944\", alpha=\"0.00\", expect_size=\"31337472\"] \n  4 -> 9 [size =\"31337472\"]\n  4 -> 12 [size =\"31337472\"]\n  4 -> 15 [size =\"31337472\"]\n  5 [size=\"42704896\", alpha=\"0.19\", expect_size=\"21352448\"] \n  5 -> 15 [size =\"21352448\"]\n  6 [size=\"28659712\", alpha=\"0.08\", expect_size=\"14329856\"] \n  6 -> 10 [size =\"14329856\"]\n  7 [size=\"92803072\", alpha=\"0.02\", expect_size=\"46401536\"] \n  7 -> 10 [size =\"46401536\"]\n  7 -> 13 [size =\"46401536\"]\n  7 -> 14 [size =\"46401536\"]\n  8 [size=\"55027712\", alpha=\"0.07\", expect_size=\"27513856\"] \n  8 -> 16 [size =\"27513856\"]\n  8 -> 20 [size =\"27513856\"]\n  9 [size=\"95494144\", alpha=\"0.19\", expect_size=\"47747072\"] \n  9 -> 17 [size =\"47747072\"]\n  9 -> 20 [size =\"47747072\"]\n  10 [size=\"87488512\", alpha=\"0.18\", expect_size=\"43744256\"] \n  11 [size=\"70281216\", alpha=\"0.15\", expect_size=\"35140608\"] \n  12 [size=\"62824448\", alpha=\"0.16\", expect_size=\"31412224\"] \n  12 -> 16 [size =\"31412224\"]\n  12 -> 17 [size =\"31412224\"]\n  12 -> 19 [size =\"31412224\"]\n  13 [size=\"83292160\", alpha=\"0.10\", expect_size=\"41646080\"] \n  13 -> 16 [size =\"41646080\"]\n  14 [size=\"77809664\", alpha=\"0.04\", expect_size=\"38904832\"] \n  14 -> 18 [size =\"38904832\"]\n  14 -> 20 [size =\"38904832\"]\n  15 [size=\"78465024\", alpha=\"0.04\", expect_size=\"39232512\"] \n  15 -> 16 [size =\"39232512\"]\n  15 -> 18 [size =\"39232512\"]\n  15 -> 20 [size =\"39232512\"]\n  16 [size=\"71493632\", alpha=\"0.11\", expect_size=\"35746816\"] \n  17 [size=\"13230080\", alpha=\"0.17\", expect_size=\"6615040\"] \n  18 [size=\"24047616\", alpha=\"0.18\", expect_size=\"12023808\"] \n  19 [size=\"55474176\", alpha=\"0.08\", expect_size=\"27737088\"] \n  20 [size=\"53073920\", alpha=\"0.07\", expect_size=\"26536960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27850240\", alpha=\"0.07\", expect_size=\"11140096\"] \n  1 -> 3 [size =\"11140096\"]\n  2 [size=\"61032960\", alpha=\"0.19\", expect_size=\"24413184\"] \n  3 [size=\"79938560\", alpha=\"0.15\", expect_size=\"31975424\"] \n  3 -> 4 [size =\"31975424\"]\n  3 -> 5 [size =\"31975424\"]\n  4 [size=\"53619200\", alpha=\"0.18\", expect_size=\"21447680\"] \n  4 -> 6 [size =\"21447680\"]\n  4 -> 7 [size =\"21447680\"]\n  5 [size=\"115622400\", alpha=\"0.02\", expect_size=\"46248960\"] \n  5 -> 6 [size =\"46248960\"]\n  6 [size=\"18324480\", alpha=\"0.18\", expect_size=\"7329792\"] \n  6 -> 8 [size =\"7329792\"]\n  7 [size=\"16576000\", alpha=\"0.17\", expect_size=\"6630400\"] \n  8 [size=\"112494080\", alpha=\"0.06\", expect_size=\"44997632\"] \n  8 -> 9 [size =\"44997632\"]\n  9 [size=\"64890880\", alpha=\"0.17\", expect_size=\"25956352\"] \n  9 -> 10 [size =\"25956352\"]\n  9 -> 11 [size =\"25956352\"]\n  10 [size=\"81564160\", alpha=\"0.07\", expect_size=\"32625664\"] \n  10 -> 12 [size =\"32625664\"]\n  11 [size=\"41774080\", alpha=\"0.12\", expect_size=\"16709632\"] \n  12 [size=\"80591360\", alpha=\"0.05\", expect_size=\"32236544\"] \n  12 -> 13 [size =\"32236544\"]\n  12 -> 14 [size =\"32236544\"]\n  13 [size=\"72709120\", alpha=\"0.05\", expect_size=\"29083648\"] \n  14 [size=\"41464320\", alpha=\"0.05\", expect_size=\"16585728\"] \n  14 -> 15 [size =\"16585728\"]\n  15 [size=\"28930560\", alpha=\"0.18\", expect_size=\"11572224\"] \n  15 -> 16 [size =\"11572224\"]\n  16 [size=\"42959360\", alpha=\"0.01\", expect_size=\"17183744\"] \n  16 -> 17 [size =\"17183744\"]\n  16 -> 18 [size =\"17183744\"]\n  17 [size=\"30359040\", alpha=\"0.05\", expect_size=\"12143616\"] \n  17 -> 19 [size =\"12143616\"]\n  17 -> 20 [size =\"12143616\"]\n  18 [size=\"130007040\", alpha=\"0.13\", expect_size=\"52002816\"] \n  18 -> 20 [size =\"52002816\"]\n  19 [size=\"50321920\", alpha=\"0.10\", expect_size=\"20128768\"] \n  20 [size=\"32217600\", alpha=\"0.06\", expect_size=\"12887040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153555627\", alpha=\"0.12\", expect_size=\"46066688\"] \n  1 -> 2 [size =\"46066688\"]\n  2 [size=\"119009280\", alpha=\"0.20\", expect_size=\"35702784\"] \n  2 -> 3 [size =\"35702784\"]\n  3 [size=\"53514240\", alpha=\"0.19\", expect_size=\"16054272\"] \n  3 -> 4 [size =\"16054272\"]\n  4 [size=\"103314773\", alpha=\"0.16\", expect_size=\"30994432\"] \n  4 -> 5 [size =\"30994432\"]\n  5 [size=\"45407573\", alpha=\"0.01\", expect_size=\"13622272\"] \n  5 -> 6 [size =\"13622272\"]\n  5 -> 7 [size =\"13622272\"]\n  6 [size=\"76185600\", alpha=\"0.10\", expect_size=\"22855680\"] \n  7 [size=\"123692373\", alpha=\"0.07\", expect_size=\"37107712\"] \n  7 -> 8 [size =\"37107712\"]\n  8 [size=\"138318507\", alpha=\"0.04\", expect_size=\"41495552\"] \n  8 -> 9 [size =\"41495552\"]\n  8 -> 10 [size =\"41495552\"]\n  9 [size=\"134304427\", alpha=\"0.09\", expect_size=\"40291328\"] \n  10 [size=\"33539413\", alpha=\"0.19\", expect_size=\"10061824\"] \n  10 -> 11 [size =\"10061824\"]\n  10 -> 12 [size =\"10061824\"]\n  11 [size=\"153903787\", alpha=\"0.08\", expect_size=\"46171136\"] \n  11 -> 13 [size =\"46171136\"]\n  11 -> 14 [size =\"46171136\"]\n  12 [size=\"88589653\", alpha=\"0.19\", expect_size=\"26576896\"] \n  13 [size=\"86681600\", alpha=\"0.16\", expect_size=\"26004480\"] \n  13 -> 15 [size =\"26004480\"]\n  14 [size=\"77247147\", alpha=\"0.12\", expect_size=\"23174144\"] \n  15 [size=\"46219947\", alpha=\"0.14\", expect_size=\"13865984\"] \n  15 -> 16 [size =\"13865984\"]\n  16 [size=\"55893333\", alpha=\"0.02\", expect_size=\"16768000\"] \n  16 -> 17 [size =\"16768000\"]\n  17 [size=\"132577280\", alpha=\"0.14\", expect_size=\"39773184\"] \n  17 -> 18 [size =\"39773184\"]\n  18 [size=\"30965760\", alpha=\"0.18\", expect_size=\"9289728\"] \n  18 -> 19 [size =\"9289728\"]\n  19 [size=\"60293120\", alpha=\"0.08\", expect_size=\"18087936\"] \n  19 -> 20 [size =\"18087936\"]\n  20 [size=\"132297387\", alpha=\"0.04\", expect_size=\"39689216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166557013\", alpha=\"0.16\", expect_size=\"49967104\"] \n  2 [size=\"68082347\", alpha=\"0.09\", expect_size=\"20424704\"] \n  2 -> 14 [size =\"20424704\"]\n  2 -> 15 [size =\"20424704\"]\n  3 [size=\"41359360\", alpha=\"0.12\", expect_size=\"12407808\"] \n  3 -> 13 [size =\"12407808\"]\n  3 -> 14 [size =\"12407808\"]\n  4 [size=\"123112107\", alpha=\"0.20\", expect_size=\"36933632\"] \n  4 -> 12 [size =\"36933632\"]\n  5 [size=\"48308907\", alpha=\"0.10\", expect_size=\"14492672\"] \n  5 -> 13 [size =\"14492672\"]\n  6 [size=\"93760853\", alpha=\"0.04\", expect_size=\"28128256\"] \n  6 -> 14 [size =\"28128256\"]\n  6 -> 15 [size =\"28128256\"]\n  7 [size=\"35225600\", alpha=\"0.03\", expect_size=\"10567680\"] \n  7 -> 13 [size =\"10567680\"]\n  7 -> 15 [size =\"10567680\"]\n  8 [size=\"162010453\", alpha=\"0.04\", expect_size=\"48603136\"] \n  8 -> 15 [size =\"48603136\"]\n  9 [size=\"51630080\", alpha=\"0.05\", expect_size=\"15489024\"] \n  9 -> 13 [size =\"15489024\"]\n  9 -> 14 [size =\"15489024\"]\n  10 [size=\"68010667\", alpha=\"0.07\", expect_size=\"20403200\"] \n  10 -> 13 [size =\"20403200\"]\n  10 -> 14 [size =\"20403200\"]\n  10 -> 15 [size =\"20403200\"]\n  11 [size=\"152374613\", alpha=\"0.19\", expect_size=\"45712384\"] \n  11 -> 13 [size =\"45712384\"]\n  11 -> 14 [size =\"45712384\"]\n  11 -> 15 [size =\"45712384\"]\n  12 [size=\"123118933\", alpha=\"0.14\", expect_size=\"36935680\"] \n  12 -> 20 [size =\"36935680\"]\n  13 [size=\"36683093\", alpha=\"0.19\", expect_size=\"11004928\"] \n  13 -> 16 [size =\"11004928\"]\n  13 -> 17 [size =\"11004928\"]\n  13 -> 19 [size =\"11004928\"]\n  14 [size=\"131580587\", alpha=\"0.08\", expect_size=\"39474176\"] \n  14 -> 16 [size =\"39474176\"]\n  14 -> 19 [size =\"39474176\"]\n  14 -> 20 [size =\"39474176\"]\n  15 [size=\"129989973\", alpha=\"0.02\", expect_size=\"38996992\"] \n  15 -> 17 [size =\"38996992\"]\n  15 -> 18 [size =\"38996992\"]\n  16 [size=\"51804160\", alpha=\"0.12\", expect_size=\"15541248\"] \n  17 [size=\"82544640\", alpha=\"0.15\", expect_size=\"24763392\"] \n  18 [size=\"102509227\", alpha=\"0.05\", expect_size=\"30752768\"] \n  19 [size=\"134758400\", alpha=\"0.03\", expect_size=\"40427520\"] \n  20 [size=\"19776853\", alpha=\"0.19\", expect_size=\"5933056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67043840\", alpha=\"0.01\", expect_size=\"26817536\"] \n  1 -> 9 [size =\"26817536\"]\n  1 -> 10 [size =\"26817536\"]\n  2 [size=\"110343680\", alpha=\"0.16\", expect_size=\"44137472\"] \n  2 -> 6 [size =\"44137472\"]\n  2 -> 8 [size =\"44137472\"]\n  2 -> 10 [size =\"44137472\"]\n  2 -> 11 [size =\"44137472\"]\n  2 -> 12 [size =\"44137472\"]\n  3 [size=\"45050880\", alpha=\"0.09\", expect_size=\"18020352\"] \n  3 -> 7 [size =\"18020352\"]\n  3 -> 8 [size =\"18020352\"]\n  3 -> 9 [size =\"18020352\"]\n  3 -> 11 [size =\"18020352\"]\n  3 -> 12 [size =\"18020352\"]\n  4 [size=\"74462720\", alpha=\"0.12\", expect_size=\"29785088\"] \n  4 -> 10 [size =\"29785088\"]\n  4 -> 11 [size =\"29785088\"]\n  5 [size=\"23710720\", alpha=\"0.17\", expect_size=\"9484288\"] \n  5 -> 9 [size =\"9484288\"]\n  6 [size=\"47408640\", alpha=\"0.14\", expect_size=\"18963456\"] \n  6 -> 14 [size =\"18963456\"]\n  7 [size=\"76546560\", alpha=\"0.07\", expect_size=\"30618624\"] \n  7 -> 14 [size =\"30618624\"]\n  7 -> 15 [size =\"30618624\"]\n  8 [size=\"126323200\", alpha=\"0.12\", expect_size=\"50529280\"] \n  8 -> 14 [size =\"50529280\"]\n  8 -> 17 [size =\"50529280\"]\n  9 [size=\"77242880\", alpha=\"0.10\", expect_size=\"30897152\"] \n  9 -> 13 [size =\"30897152\"]\n  9 -> 15 [size =\"30897152\"]\n  9 -> 17 [size =\"30897152\"]\n  10 [size=\"92357120\", alpha=\"0.13\", expect_size=\"36942848\"] \n  10 -> 13 [size =\"36942848\"]\n  10 -> 15 [size =\"36942848\"]\n  11 [size=\"101931520\", alpha=\"0.18\", expect_size=\"40772608\"] \n  12 [size=\"106119680\", alpha=\"0.09\", expect_size=\"42447872\"] \n  12 -> 16 [size =\"42447872\"]\n  13 [size=\"83860480\", alpha=\"0.18\", expect_size=\"33544192\"] \n  14 [size=\"20444160\", alpha=\"0.07\", expect_size=\"8177664\"] \n  14 -> 19 [size =\"8177664\"]\n  15 [size=\"91368960\", alpha=\"0.17\", expect_size=\"36547584\"] \n  15 -> 18 [size =\"36547584\"]\n  15 -> 19 [size =\"36547584\"]\n  16 [size=\"74245120\", alpha=\"0.14\", expect_size=\"29698048\"] \n  16 -> 18 [size =\"29698048\"]\n  16 -> 20 [size =\"29698048\"]\n  17 [size=\"39052800\", alpha=\"0.11\", expect_size=\"15621120\"] \n  17 -> 18 [size =\"15621120\"]\n  17 -> 19 [size =\"15621120\"]\n  17 -> 20 [size =\"15621120\"]\n  18 [size=\"80919040\", alpha=\"0.13\", expect_size=\"32367616\"] \n  19 [size=\"31464960\", alpha=\"0.10\", expect_size=\"12585984\"] \n  20 [size=\"92930560\", alpha=\"0.16\", expect_size=\"37172224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98501120\", alpha=\"0.04\", expect_size=\"39400448\"] \n  1 -> 12 [size =\"39400448\"]\n  1 -> 14 [size =\"39400448\"]\n  1 -> 17 [size =\"39400448\"]\n  2 [size=\"102814720\", alpha=\"0.13\", expect_size=\"41125888\"] \n  2 -> 17 [size =\"41125888\"]\n  3 [size=\"129185280\", alpha=\"0.05\", expect_size=\"51674112\"] \n  3 -> 12 [size =\"51674112\"]\n  4 [size=\"44825600\", alpha=\"0.19\", expect_size=\"17930240\"] \n  4 -> 12 [size =\"17930240\"]\n  4 -> 13 [size =\"17930240\"]\n  4 -> 15 [size =\"17930240\"]\n  4 -> 16 [size =\"17930240\"]\n  4 -> 17 [size =\"17930240\"]\n  4 -> 18 [size =\"17930240\"]\n  5 [size=\"16038400\", alpha=\"0.01\", expect_size=\"6415360\"] \n  5 -> 10 [size =\"6415360\"]\n  5 -> 15 [size =\"6415360\"]\n  5 -> 18 [size =\"6415360\"]\n  6 [size=\"42150400\", alpha=\"0.19\", expect_size=\"16860160\"] \n  6 -> 10 [size =\"16860160\"]\n  6 -> 11 [size =\"16860160\"]\n  6 -> 12 [size =\"16860160\"]\n  6 -> 17 [size =\"16860160\"]\n  7 [size=\"109327360\", alpha=\"0.02\", expect_size=\"43730944\"] \n  7 -> 12 [size =\"43730944\"]\n  7 -> 15 [size =\"43730944\"]\n  7 -> 18 [size =\"43730944\"]\n  8 [size=\"50882560\", alpha=\"0.10\", expect_size=\"20353024\"] \n  8 -> 12 [size =\"20353024\"]\n  8 -> 13 [size =\"20353024\"]\n  8 -> 15 [size =\"20353024\"]\n  9 [size=\"128524800\", alpha=\"0.10\", expect_size=\"51409920\"] \n  9 -> 10 [size =\"51409920\"]\n  9 -> 11 [size =\"51409920\"]\n  9 -> 12 [size =\"51409920\"]\n  9 -> 14 [size =\"51409920\"]\n  10 [size=\"43804160\", alpha=\"0.05\", expect_size=\"17521664\"] \n  11 [size=\"13314560\", alpha=\"0.11\", expect_size=\"5325824\"] \n  12 [size=\"35824640\", alpha=\"0.19\", expect_size=\"14329856\"] \n  13 [size=\"114245120\", alpha=\"0.05\", expect_size=\"45698048\"] \n  13 -> 20 [size =\"45698048\"]\n  14 [size=\"24816640\", alpha=\"0.18\", expect_size=\"9926656\"] \n  14 -> 20 [size =\"9926656\"]\n  15 [size=\"18403840\", alpha=\"0.17\", expect_size=\"7361536\"] \n  15 -> 19 [size =\"7361536\"]\n  15 -> 20 [size =\"7361536\"]\n  16 [size=\"23997440\", alpha=\"0.09\", expect_size=\"9598976\"] \n  16 -> 20 [size =\"9598976\"]\n  17 [size=\"20474880\", alpha=\"0.18\", expect_size=\"8189952\"] \n  17 -> 20 [size =\"8189952\"]\n  18 [size=\"31575040\", alpha=\"0.17\", expect_size=\"12630016\"] \n  19 [size=\"93363200\", alpha=\"0.02\", expect_size=\"37345280\"] \n  20 [size=\"34444800\", alpha=\"0.03\", expect_size=\"13777920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91381760\", alpha=\"0.16\", expect_size=\"45690880\"] \n  2 [size=\"18610176\", alpha=\"0.16\", expect_size=\"9305088\"] \n  2 -> 6 [size =\"9305088\"]\n  2 -> 7 [size =\"9305088\"]\n  3 [size=\"32524288\", alpha=\"0.06\", expect_size=\"16262144\"] \n  3 -> 6 [size =\"16262144\"]\n  3 -> 8 [size =\"16262144\"]\n  4 [size=\"98035712\", alpha=\"0.10\", expect_size=\"49017856\"] \n  4 -> 6 [size =\"49017856\"]\n  4 -> 8 [size =\"49017856\"]\n  5 [size=\"90605568\", alpha=\"0.02\", expect_size=\"45302784\"] \n  5 -> 8 [size =\"45302784\"]\n  6 [size=\"29149184\", alpha=\"0.11\", expect_size=\"14574592\"] \n  6 -> 10 [size =\"14574592\"]\n  6 -> 11 [size =\"14574592\"]\n  6 -> 12 [size =\"14574592\"]\n  7 [size=\"78436352\", alpha=\"0.07\", expect_size=\"39218176\"] \n  7 -> 9 [size =\"39218176\"]\n  8 [size=\"26341376\", alpha=\"0.10\", expect_size=\"13170688\"] \n  8 -> 11 [size =\"13170688\"]\n  8 -> 12 [size =\"13170688\"]\n  9 [size=\"53864448\", alpha=\"0.09\", expect_size=\"26932224\"] \n  9 -> 14 [size =\"26932224\"]\n  9 -> 15 [size =\"26932224\"]\n  10 [size=\"98662400\", alpha=\"0.03\", expect_size=\"49331200\"] \n  10 -> 13 [size =\"49331200\"]\n  10 -> 15 [size =\"49331200\"]\n  10 -> 16 [size =\"49331200\"]\n  11 [size=\"63899648\", alpha=\"0.10\", expect_size=\"31949824\"] \n  11 -> 13 [size =\"31949824\"]\n  11 -> 16 [size =\"31949824\"]\n  12 [size=\"45451264\", alpha=\"0.04\", expect_size=\"22725632\"] \n  12 -> 13 [size =\"22725632\"]\n  12 -> 14 [size =\"22725632\"]\n  12 -> 15 [size =\"22725632\"]\n  13 [size=\"28860416\", alpha=\"0.04\", expect_size=\"14430208\"] \n  13 -> 18 [size =\"14430208\"]\n  13 -> 19 [size =\"14430208\"]\n  13 -> 20 [size =\"14430208\"]\n  14 [size=\"55873536\", alpha=\"0.12\", expect_size=\"27936768\"] \n  14 -> 18 [size =\"27936768\"]\n  15 [size=\"103684096\", alpha=\"0.19\", expect_size=\"51842048\"] \n  15 -> 17 [size =\"51842048\"]\n  16 [size=\"19730432\", alpha=\"0.03\", expect_size=\"9865216\"] \n  16 -> 17 [size =\"9865216\"]\n  17 [size=\"72984576\", alpha=\"0.14\", expect_size=\"36492288\"] \n  18 [size=\"13637632\", alpha=\"0.05\", expect_size=\"6818816\"] \n  19 [size=\"63088640\", alpha=\"0.08\", expect_size=\"31544320\"] \n  20 [size=\"10924032\", alpha=\"0.03\", expect_size=\"5462016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142103893\", alpha=\"0.08\", expect_size=\"42631168\"] \n  1 -> 5 [size =\"42631168\"]\n  1 -> 6 [size =\"42631168\"]\n  1 -> 7 [size =\"42631168\"]\n  2 [size=\"47267840\", alpha=\"0.07\", expect_size=\"14180352\"] \n  2 -> 6 [size =\"14180352\"]\n  2 -> 7 [size =\"14180352\"]\n  2 -> 8 [size =\"14180352\"]\n  3 [size=\"25074347\", alpha=\"0.18\", expect_size=\"7522304\"] \n  3 -> 6 [size =\"7522304\"]\n  3 -> 7 [size =\"7522304\"]\n  3 -> 8 [size =\"7522304\"]\n  3 -> 9 [size =\"7522304\"]\n  4 [size=\"80435200\", alpha=\"0.07\", expect_size=\"24130560\"] \n  4 -> 5 [size =\"24130560\"]\n  4 -> 6 [size =\"24130560\"]\n  4 -> 7 [size =\"24130560\"]\n  4 -> 8 [size =\"24130560\"]\n  5 [size=\"74881707\", alpha=\"0.18\", expect_size=\"22464512\"] \n  5 -> 12 [size =\"22464512\"]\n  6 [size=\"69010773\", alpha=\"0.09\", expect_size=\"20703232\"] \n  6 -> 11 [size =\"20703232\"]\n  6 -> 12 [size =\"20703232\"]\n  7 [size=\"166065493\", alpha=\"0.16\", expect_size=\"49819648\"] \n  7 -> 10 [size =\"49819648\"]\n  7 -> 12 [size =\"49819648\"]\n  8 [size=\"106608640\", alpha=\"0.04\", expect_size=\"31982592\"] \n  8 -> 12 [size =\"31982592\"]\n  9 [size=\"27313493\", alpha=\"0.16\", expect_size=\"8194048\"] \n  9 -> 12 [size =\"8194048\"]\n  10 [size=\"152528213\", alpha=\"0.13\", expect_size=\"45758464\"] \n  10 -> 14 [size =\"45758464\"]\n  10 -> 14 [size =\"45758464\"]\n  10 -> 15 [size =\"45758464\"]\n  10 -> 16 [size =\"45758464\"]\n  10 -> 17 [size =\"45758464\"]\n  11 [size=\"72942933\", alpha=\"0.14\", expect_size=\"21882880\"] \n  11 -> 15 [size =\"21882880\"]\n  11 -> 16 [size =\"21882880\"]\n  11 -> 17 [size =\"21882880\"]\n  12 [size=\"133918720\", alpha=\"0.02\", expect_size=\"40175616\"] \n  12 -> 13 [size =\"40175616\"]\n  12 -> 14 [size =\"40175616\"]\n  12 -> 15 [size =\"40175616\"]\n  12 -> 16 [size =\"40175616\"]\n  12 -> 17 [size =\"40175616\"]\n  13 [size=\"29300053\", alpha=\"0.07\", expect_size=\"8790016\"] \n  13 -> 18 [size =\"8790016\"]\n  13 -> 19 [size =\"8790016\"]\n  13 -> 20 [size =\"8790016\"]\n  14 [size=\"167680000\", alpha=\"0.14\", expect_size=\"50304000\"] \n  14 -> 18 [size =\"50304000\"]\n  14 -> 19 [size =\"50304000\"]\n  14 -> 20 [size =\"50304000\"]\n  15 [size=\"66669227\", alpha=\"0.18\", expect_size=\"20000768\"] \n  15 -> 18 [size =\"20000768\"]\n  15 -> 19 [size =\"20000768\"]\n  15 -> 20 [size =\"20000768\"]\n  16 [size=\"54019413\", alpha=\"0.14\", expect_size=\"16205824\"] \n  16 -> 18 [size =\"16205824\"]\n  16 -> 20 [size =\"16205824\"]\n  17 [size=\"125187413\", alpha=\"0.13\", expect_size=\"37556224\"] \n  17 -> 18 [size =\"37556224\"]\n  17 -> 19 [size =\"37556224\"]\n  17 -> 20 [size =\"37556224\"]\n  18 [size=\"95098880\", alpha=\"0.02\", expect_size=\"28529664\"] \n  19 [size=\"123996160\", alpha=\"0.08\", expect_size=\"37198848\"] \n  20 [size=\"95436800\", alpha=\"0.20\", expect_size=\"28631040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100444160\", alpha=\"0.08\", expect_size=\"40177664\"] \n  1 -> 2 [size =\"40177664\"]\n  2 [size=\"24517120\", alpha=\"0.10\", expect_size=\"9806848\"] \n  2 -> 3 [size =\"9806848\"]\n  2 -> 4 [size =\"9806848\"]\n  3 [size=\"65382400\", alpha=\"0.14\", expect_size=\"26152960\"] \n  3 -> 5 [size =\"26152960\"]\n  4 [size=\"63252480\", alpha=\"0.10\", expect_size=\"25300992\"] \n  4 -> 5 [size =\"25300992\"]\n  4 -> 6 [size =\"25300992\"]\n  5 [size=\"53729280\", alpha=\"0.14\", expect_size=\"21491712\"] \n  5 -> 7 [size =\"21491712\"]\n  5 -> 8 [size =\"21491712\"]\n  6 [size=\"21314560\", alpha=\"0.17\", expect_size=\"8525824\"] \n  6 -> 7 [size =\"8525824\"]\n  6 -> 8 [size =\"8525824\"]\n  7 [size=\"122716160\", alpha=\"0.14\", expect_size=\"49086464\"] \n  7 -> 9 [size =\"49086464\"]\n  8 [size=\"32614400\", alpha=\"0.03\", expect_size=\"13045760\"] \n  8 -> 9 [size =\"13045760\"]\n  9 [size=\"68352000\", alpha=\"0.11\", expect_size=\"27340800\"] \n  9 -> 10 [size =\"27340800\"]\n  9 -> 11 [size =\"27340800\"]\n  10 [size=\"112601600\", alpha=\"0.10\", expect_size=\"45040640\"] \n  10 -> 12 [size =\"45040640\"]\n  11 [size=\"40299520\", alpha=\"0.05\", expect_size=\"16119808\"] \n  12 [size=\"87229440\", alpha=\"0.00\", expect_size=\"34891776\"] \n  12 -> 13 [size =\"34891776\"]\n  13 [size=\"25607680\", alpha=\"0.17\", expect_size=\"10243072\"] \n  13 -> 14 [size =\"10243072\"]\n  14 [size=\"107407360\", alpha=\"0.13\", expect_size=\"42962944\"] \n  14 -> 15 [size =\"42962944\"]\n  15 [size=\"47749120\", alpha=\"0.11\", expect_size=\"19099648\"] \n  15 -> 16 [size =\"19099648\"]\n  16 [size=\"130355200\", alpha=\"0.16\", expect_size=\"52142080\"] \n  16 -> 17 [size =\"52142080\"]\n  17 [size=\"109716480\", alpha=\"0.20\", expect_size=\"43886592\"] \n  17 -> 18 [size =\"43886592\"]\n  17 -> 19 [size =\"43886592\"]\n  18 [size=\"73185280\", alpha=\"0.20\", expect_size=\"29274112\"] \n  18 -> 20 [size =\"29274112\"]\n  19 [size=\"93486080\", alpha=\"0.01\", expect_size=\"37394432\"] \n  20 [size=\"38161920\", alpha=\"0.04\", expect_size=\"15264768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124480853\", alpha=\"0.01\", expect_size=\"37344256\"] \n  1 -> 6 [size =\"37344256\"]\n  2 [size=\"83049813\", alpha=\"0.18\", expect_size=\"24914944\"] \n  3 [size=\"49319253\", alpha=\"0.02\", expect_size=\"14795776\"] \n  3 -> 5 [size =\"14795776\"]\n  3 -> 7 [size =\"14795776\"]\n  4 [size=\"76376747\", alpha=\"0.12\", expect_size=\"22913024\"] \n  4 -> 7 [size =\"22913024\"]\n  4 -> 7 [size =\"22913024\"]\n  5 [size=\"163959467\", alpha=\"0.12\", expect_size=\"49187840\"] \n  5 -> 8 [size =\"49187840\"]\n  5 -> 9 [size =\"49187840\"]\n  5 -> 11 [size =\"49187840\"]\n  6 [size=\"37632000\", alpha=\"0.16\", expect_size=\"11289600\"] \n  6 -> 8 [size =\"11289600\"]\n  6 -> 10 [size =\"11289600\"]\n  7 [size=\"87053653\", alpha=\"0.15\", expect_size=\"26116096\"] \n  7 -> 11 [size =\"26116096\"]\n  7 -> 12 [size =\"26116096\"]\n  8 [size=\"162423467\", alpha=\"0.12\", expect_size=\"48727040\"] \n  9 [size=\"70454613\", alpha=\"0.03\", expect_size=\"21136384\"] \n  9 -> 13 [size =\"21136384\"]\n  9 -> 15 [size =\"21136384\"]\n  9 -> 16 [size =\"21136384\"]\n  10 [size=\"141581653\", alpha=\"0.15\", expect_size=\"42474496\"] \n  10 -> 14 [size =\"42474496\"]\n  11 [size=\"99857067\", alpha=\"0.15\", expect_size=\"29957120\"] \n  11 -> 15 [size =\"29957120\"]\n  12 [size=\"111400960\", alpha=\"0.10\", expect_size=\"33420288\"] \n  12 -> 15 [size =\"33420288\"]\n  13 [size=\"92453547\", alpha=\"0.18\", expect_size=\"27736064\"] \n  13 -> 17 [size =\"27736064\"]\n  13 -> 20 [size =\"27736064\"]\n  14 [size=\"107427840\", alpha=\"0.01\", expect_size=\"32228352\"] \n  14 -> 17 [size =\"32228352\"]\n  14 -> 20 [size =\"32228352\"]\n  15 [size=\"43625813\", alpha=\"0.11\", expect_size=\"13087744\"] \n  15 -> 18 [size =\"13087744\"]\n  16 [size=\"134734507\", alpha=\"0.12\", expect_size=\"40420352\"] \n  16 -> 17 [size =\"40420352\"]\n  16 -> 19 [size =\"40420352\"]\n  16 -> 20 [size =\"40420352\"]\n  17 [size=\"99925333\", alpha=\"0.10\", expect_size=\"29977600\"] \n  18 [size=\"59668480\", alpha=\"0.05\", expect_size=\"17900544\"] \n  19 [size=\"150213973\", alpha=\"0.11\", expect_size=\"45064192\"] \n  20 [size=\"173533867\", alpha=\"0.16\", expect_size=\"52060160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28520448\", alpha=\"0.02\", expect_size=\"14260224\"] \n  1 -> 4 [size =\"14260224\"]\n  2 [size=\"99991552\", alpha=\"0.17\", expect_size=\"49995776\"] \n  2 -> 3 [size =\"49995776\"]\n  3 [size=\"47491072\", alpha=\"0.13\", expect_size=\"23745536\"] \n  4 [size=\"73861120\", alpha=\"0.17\", expect_size=\"36930560\"] \n  4 -> 5 [size =\"36930560\"]\n  4 -> 6 [size =\"36930560\"]\n  5 [size=\"75376640\", alpha=\"0.02\", expect_size=\"37688320\"] \n  5 -> 7 [size =\"37688320\"]\n  5 -> 8 [size =\"37688320\"]\n  6 [size=\"33421312\", alpha=\"0.01\", expect_size=\"16710656\"] \n  7 [size=\"13248512\", alpha=\"0.12\", expect_size=\"6624256\"] \n  8 [size=\"83238912\", alpha=\"0.14\", expect_size=\"41619456\"] \n  8 -> 9 [size =\"41619456\"]\n  9 [size=\"104736768\", alpha=\"0.05\", expect_size=\"52368384\"] \n  9 -> 10 [size =\"52368384\"]\n  10 [size=\"49147904\", alpha=\"0.15\", expect_size=\"24573952\"] \n  10 -> 11 [size =\"24573952\"]\n  11 [size=\"18792448\", alpha=\"0.12\", expect_size=\"9396224\"] \n  11 -> 12 [size =\"9396224\"]\n  12 [size=\"25909248\", alpha=\"0.01\", expect_size=\"12954624\"] \n  12 -> 13 [size =\"12954624\"]\n  12 -> 14 [size =\"12954624\"]\n  13 [size=\"13275136\", alpha=\"0.07\", expect_size=\"6637568\"] \n  14 [size=\"75239424\", alpha=\"0.00\", expect_size=\"37619712\"] \n  14 -> 15 [size =\"37619712\"]\n  15 [size=\"60143616\", alpha=\"0.17\", expect_size=\"30071808\"] \n  15 -> 16 [size =\"30071808\"]\n  15 -> 17 [size =\"30071808\"]\n  16 [size=\"71747584\", alpha=\"0.16\", expect_size=\"35873792\"] \n  16 -> 19 [size =\"35873792\"]\n  17 [size=\"74600448\", alpha=\"0.10\", expect_size=\"37300224\"] \n  17 -> 18 [size =\"37300224\"]\n  18 [size=\"36876288\", alpha=\"0.07\", expect_size=\"18438144\"] \n  18 -> 20 [size =\"18438144\"]\n  19 [size=\"104777728\", alpha=\"0.06\", expect_size=\"52388864\"] \n  20 [size=\"33439744\", alpha=\"0.04\", expect_size=\"16719872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166710613\", alpha=\"0.03\", expect_size=\"50013184\"] \n  1 -> 6 [size =\"50013184\"]\n  1 -> 7 [size =\"50013184\"]\n  2 [size=\"29887147\", alpha=\"0.17\", expect_size=\"8966144\"] \n  2 -> 6 [size =\"8966144\"]\n  2 -> 7 [size =\"8966144\"]\n  3 [size=\"171468800\", alpha=\"0.17\", expect_size=\"51440640\"] \n  3 -> 5 [size =\"51440640\"]\n  3 -> 7 [size =\"51440640\"]\n  4 [size=\"173527040\", alpha=\"0.20\", expect_size=\"52058112\"] \n  4 -> 5 [size =\"52058112\"]\n  4 -> 7 [size =\"52058112\"]\n  5 [size=\"135335253\", alpha=\"0.18\", expect_size=\"40600576\"] \n  5 -> 9 [size =\"40600576\"]\n  5 -> 10 [size =\"40600576\"]\n  6 [size=\"58518187\", alpha=\"0.18\", expect_size=\"17555456\"] \n  6 -> 9 [size =\"17555456\"]\n  6 -> 10 [size =\"17555456\"]\n  7 [size=\"142359893\", alpha=\"0.15\", expect_size=\"42707968\"] \n  7 -> 8 [size =\"42707968\"]\n  7 -> 9 [size =\"42707968\"]\n  7 -> 10 [size =\"42707968\"]\n  8 [size=\"18633387\", alpha=\"0.01\", expect_size=\"5590016\"] \n  8 -> 12 [size =\"5590016\"]\n  8 -> 13 [size =\"5590016\"]\n  9 [size=\"57429333\", alpha=\"0.03\", expect_size=\"17228800\"] \n  9 -> 11 [size =\"17228800\"]\n  9 -> 12 [size =\"17228800\"]\n  9 -> 13 [size =\"17228800\"]\n  10 [size=\"84688213\", alpha=\"0.03\", expect_size=\"25406464\"] \n  10 -> 12 [size =\"25406464\"]\n  11 [size=\"93897387\", alpha=\"0.08\", expect_size=\"28169216\"] \n  11 -> 14 [size =\"28169216\"]\n  11 -> 15 [size =\"28169216\"]\n  11 -> 16 [size =\"28169216\"]\n  12 [size=\"114786987\", alpha=\"0.16\", expect_size=\"34436096\"] \n  12 -> 14 [size =\"34436096\"]\n  12 -> 15 [size =\"34436096\"]\n  12 -> 16 [size =\"34436096\"]\n  13 [size=\"90064213\", alpha=\"0.02\", expect_size=\"27019264\"] \n  13 -> 15 [size =\"27019264\"]\n  13 -> 17 [size =\"27019264\"]\n  14 [size=\"63685973\", alpha=\"0.08\", expect_size=\"19105792\"] \n  14 -> 18 [size =\"19105792\"]\n  15 [size=\"60241920\", alpha=\"0.02\", expect_size=\"18072576\"] \n  15 -> 18 [size =\"18072576\"]\n  15 -> 19 [size =\"18072576\"]\n  15 -> 20 [size =\"18072576\"]\n  16 [size=\"45349547\", alpha=\"0.14\", expect_size=\"13604864\"] \n  16 -> 18 [size =\"13604864\"]\n  16 -> 20 [size =\"13604864\"]\n  16 -> 20 [size =\"13604864\"]\n  17 [size=\"31546027\", alpha=\"0.07\", expect_size=\"9463808\"] \n  17 -> 20 [size =\"9463808\"]\n  18 [size=\"148432213\", alpha=\"0.15\", expect_size=\"44529664\"] \n  19 [size=\"159658667\", alpha=\"0.14\", expect_size=\"47897600\"] \n  20 [size=\"29399040\", alpha=\"0.00\", expect_size=\"8819712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28587520\", alpha=\"0.05\", expect_size=\"11435008\"] \n  1 -> 2 [size =\"11435008\"]\n  2 [size=\"44472320\", alpha=\"0.06\", expect_size=\"17788928\"] \n  2 -> 3 [size =\"17788928\"]\n  3 [size=\"19909120\", alpha=\"0.14\", expect_size=\"7963648\"] \n  3 -> 4 [size =\"7963648\"]\n  4 [size=\"101317120\", alpha=\"0.08\", expect_size=\"40526848\"] \n  4 -> 5 [size =\"40526848\"]\n  5 [size=\"29406720\", alpha=\"0.17\", expect_size=\"11762688\"] \n  5 -> 6 [size =\"11762688\"]\n  6 [size=\"42129920\", alpha=\"0.13\", expect_size=\"16851968\"] \n  6 -> 7 [size =\"16851968\"]\n  7 [size=\"37749760\", alpha=\"0.10\", expect_size=\"15099904\"] \n  7 -> 8 [size =\"15099904\"]\n  8 [size=\"39582720\", alpha=\"0.09\", expect_size=\"15833088\"] \n  8 -> 9 [size =\"15833088\"]\n  9 [size=\"124976640\", alpha=\"0.14\", expect_size=\"49990656\"] \n  9 -> 10 [size =\"49990656\"]\n  10 [size=\"38100480\", alpha=\"0.10\", expect_size=\"15240192\"] \n  10 -> 11 [size =\"15240192\"]\n  11 [size=\"83238400\", alpha=\"0.16\", expect_size=\"33295360\"] \n  11 -> 12 [size =\"33295360\"]\n  12 [size=\"111485440\", alpha=\"0.13\", expect_size=\"44594176\"] \n  12 -> 13 [size =\"44594176\"]\n  13 [size=\"30745600\", alpha=\"0.13\", expect_size=\"12298240\"] \n  13 -> 14 [size =\"12298240\"]\n  14 [size=\"114984960\", alpha=\"0.05\", expect_size=\"45993984\"] \n  14 -> 15 [size =\"45993984\"]\n  15 [size=\"45649920\", alpha=\"0.18\", expect_size=\"18259968\"] \n  15 -> 16 [size =\"18259968\"]\n  16 [size=\"29253120\", alpha=\"0.10\", expect_size=\"11701248\"] \n  16 -> 17 [size =\"11701248\"]\n  17 [size=\"108764160\", alpha=\"0.04\", expect_size=\"43505664\"] \n  17 -> 18 [size =\"43505664\"]\n  18 [size=\"47206400\", alpha=\"0.15\", expect_size=\"18882560\"] \n  18 -> 19 [size =\"18882560\"]\n  19 [size=\"98618880\", alpha=\"0.10\", expect_size=\"39447552\"] \n  19 -> 20 [size =\"39447552\"]\n  20 [size=\"60293120\", alpha=\"0.09\", expect_size=\"24117248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109432320\", alpha=\"0.17\", expect_size=\"43772928\"] \n  1 -> 2 [size =\"43772928\"]\n  2 [size=\"105341440\", alpha=\"0.04\", expect_size=\"42136576\"] \n  2 -> 3 [size =\"42136576\"]\n  2 -> 4 [size =\"42136576\"]\n  3 [size=\"88025600\", alpha=\"0.14\", expect_size=\"35210240\"] \n  3 -> 5 [size =\"35210240\"]\n  3 -> 6 [size =\"35210240\"]\n  4 [size=\"17848320\", alpha=\"0.12\", expect_size=\"7139328\"] \n  5 [size=\"59020800\", alpha=\"0.14\", expect_size=\"23608320\"] \n  5 -> 7 [size =\"23608320\"]\n  6 [size=\"75873280\", alpha=\"0.16\", expect_size=\"30349312\"] \n  6 -> 7 [size =\"30349312\"]\n  7 [size=\"116267520\", alpha=\"0.13\", expect_size=\"46507008\"] \n  7 -> 8 [size =\"46507008\"]\n  7 -> 9 [size =\"46507008\"]\n  8 [size=\"30300160\", alpha=\"0.14\", expect_size=\"12120064\"] \n  8 -> 10 [size =\"12120064\"]\n  9 [size=\"46392320\", alpha=\"0.00\", expect_size=\"18556928\"] \n  9 -> 10 [size =\"18556928\"]\n  10 [size=\"98667520\", alpha=\"0.14\", expect_size=\"39467008\"] \n  10 -> 11 [size =\"39467008\"]\n  11 [size=\"34301440\", alpha=\"0.12\", expect_size=\"13720576\"] \n  11 -> 12 [size =\"13720576\"]\n  11 -> 13 [size =\"13720576\"]\n  12 [size=\"17989120\", alpha=\"0.08\", expect_size=\"7195648\"] \n  13 [size=\"42480640\", alpha=\"0.12\", expect_size=\"16992256\"] \n  13 -> 14 [size =\"16992256\"]\n  14 [size=\"124249600\", alpha=\"0.12\", expect_size=\"49699840\"] \n  14 -> 15 [size =\"49699840\"]\n  15 [size=\"76262400\", alpha=\"0.14\", expect_size=\"30504960\"] \n  15 -> 16 [size =\"30504960\"]\n  15 -> 17 [size =\"30504960\"]\n  16 [size=\"42821120\", alpha=\"0.17\", expect_size=\"17128448\"] \n  16 -> 18 [size =\"17128448\"]\n  16 -> 19 [size =\"17128448\"]\n  17 [size=\"18836480\", alpha=\"0.11\", expect_size=\"7534592\"] \n  17 -> 18 [size =\"7534592\"]\n  17 -> 19 [size =\"7534592\"]\n  18 [size=\"94492160\", alpha=\"0.20\", expect_size=\"37796864\"] \n  18 -> 20 [size =\"37796864\"]\n  19 [size=\"56417280\", alpha=\"0.20\", expect_size=\"22566912\"] \n  20 [size=\"58216960\", alpha=\"0.16\", expect_size=\"23286784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78845440\", alpha=\"0.16\", expect_size=\"31538176\"] \n  1 -> 2 [size =\"31538176\"]\n  1 -> 3 [size =\"31538176\"]\n  2 [size=\"39569920\", alpha=\"0.14\", expect_size=\"15827968\"] \n  3 [size=\"75714560\", alpha=\"0.16\", expect_size=\"30285824\"] \n  3 -> 4 [size =\"30285824\"]\n  4 [size=\"24688640\", alpha=\"0.09\", expect_size=\"9875456\"] \n  4 -> 5 [size =\"9875456\"]\n  5 [size=\"19128320\", alpha=\"0.20\", expect_size=\"7651328\"] \n  5 -> 6 [size =\"7651328\"]\n  5 -> 7 [size =\"7651328\"]\n  6 [size=\"119329280\", alpha=\"0.07\", expect_size=\"47731712\"] \n  6 -> 8 [size =\"47731712\"]\n  6 -> 9 [size =\"47731712\"]\n  7 [size=\"36318720\", alpha=\"0.11\", expect_size=\"14527488\"] \n  7 -> 8 [size =\"14527488\"]\n  8 [size=\"93406720\", alpha=\"0.04\", expect_size=\"37362688\"] \n  8 -> 10 [size =\"37362688\"]\n  9 [size=\"123671040\", alpha=\"0.07\", expect_size=\"49468416\"] \n  9 -> 10 [size =\"49468416\"]\n  10 [size=\"65323520\", alpha=\"0.00\", expect_size=\"26129408\"] \n  10 -> 11 [size =\"26129408\"]\n  10 -> 12 [size =\"26129408\"]\n  11 [size=\"64061440\", alpha=\"0.06\", expect_size=\"25624576\"] \n  11 -> 13 [size =\"25624576\"]\n  12 [size=\"39846400\", alpha=\"0.02\", expect_size=\"15938560\"] \n  13 [size=\"124879360\", alpha=\"0.18\", expect_size=\"49951744\"] \n  13 -> 14 [size =\"49951744\"]\n  13 -> 15 [size =\"49951744\"]\n  14 [size=\"99947520\", alpha=\"0.13\", expect_size=\"39979008\"] \n  14 -> 16 [size =\"39979008\"]\n  15 [size=\"35048960\", alpha=\"0.09\", expect_size=\"14019584\"] \n  15 -> 16 [size =\"14019584\"]\n  16 [size=\"34362880\", alpha=\"0.02\", expect_size=\"13745152\"] \n  16 -> 17 [size =\"13745152\"]\n  16 -> 18 [size =\"13745152\"]\n  17 [size=\"75077120\", alpha=\"0.09\", expect_size=\"30030848\"] \n  17 -> 19 [size =\"30030848\"]\n  17 -> 20 [size =\"30030848\"]\n  18 [size=\"20047360\", alpha=\"0.08\", expect_size=\"8018944\"] \n  18 -> 19 [size =\"8018944\"]\n  18 -> 20 [size =\"8018944\"]\n  19 [size=\"43443200\", alpha=\"0.01\", expect_size=\"17377280\"] \n  20 [size=\"86051840\", alpha=\"0.04\", expect_size=\"34420736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162580480\", alpha=\"0.00\", expect_size=\"48774144\"] \n  1 -> 2 [size =\"48774144\"]\n  2 [size=\"21077333\", alpha=\"0.00\", expect_size=\"6323200\"] \n  2 -> 3 [size =\"6323200\"]\n  3 [size=\"131812693\", alpha=\"0.12\", expect_size=\"39543808\"] \n  3 -> 4 [size =\"39543808\"]\n  4 [size=\"141223253\", alpha=\"0.12\", expect_size=\"42366976\"] \n  4 -> 5 [size =\"42366976\"]\n  5 [size=\"140561067\", alpha=\"0.15\", expect_size=\"42168320\"] \n  5 -> 6 [size =\"42168320\"]\n  6 [size=\"141953707\", alpha=\"0.14\", expect_size=\"42586112\"] \n  6 -> 7 [size =\"42586112\"]\n  7 [size=\"113414827\", alpha=\"0.08\", expect_size=\"34024448\"] \n  7 -> 8 [size =\"34024448\"]\n  8 [size=\"110858240\", alpha=\"0.14\", expect_size=\"33257472\"] \n  8 -> 9 [size =\"33257472\"]\n  9 [size=\"136816640\", alpha=\"0.18\", expect_size=\"41044992\"] \n  9 -> 10 [size =\"41044992\"]\n  10 [size=\"72762027\", alpha=\"0.01\", expect_size=\"21828608\"] \n  10 -> 11 [size =\"21828608\"]\n  11 [size=\"50862080\", alpha=\"0.09\", expect_size=\"15258624\"] \n  11 -> 12 [size =\"15258624\"]\n  12 [size=\"52681387\", alpha=\"0.07\", expect_size=\"15804416\"] \n  12 -> 13 [size =\"15804416\"]\n  13 [size=\"55691947\", alpha=\"0.15\", expect_size=\"16707584\"] \n  13 -> 14 [size =\"16707584\"]\n  14 [size=\"149592747\", alpha=\"0.17\", expect_size=\"44877824\"] \n  14 -> 15 [size =\"44877824\"]\n  15 [size=\"88634027\", alpha=\"0.04\", expect_size=\"26590208\"] \n  15 -> 16 [size =\"26590208\"]\n  16 [size=\"47636480\", alpha=\"0.04\", expect_size=\"14290944\"] \n  16 -> 17 [size =\"14290944\"]\n  17 [size=\"161078613\", alpha=\"0.10\", expect_size=\"48323584\"] \n  17 -> 18 [size =\"48323584\"]\n  18 [size=\"66682880\", alpha=\"0.05\", expect_size=\"20004864\"] \n  18 -> 19 [size =\"20004864\"]\n  19 [size=\"18926933\", alpha=\"0.05\", expect_size=\"5678080\"] \n  19 -> 20 [size =\"5678080\"]\n  20 [size=\"162966187\", alpha=\"0.03\", expect_size=\"48889856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59755520\", alpha=\"0.17\", expect_size=\"23902208\"] \n  1 -> 19 [size =\"23902208\"]\n  2 [size=\"77286400\", alpha=\"0.18\", expect_size=\"30914560\"] \n  2 -> 15 [size =\"30914560\"]\n  2 -> 19 [size =\"30914560\"]\n  3 [size=\"57953280\", alpha=\"0.10\", expect_size=\"23181312\"] \n  3 -> 17 [size =\"23181312\"]\n  3 -> 19 [size =\"23181312\"]\n  4 [size=\"48217600\", alpha=\"0.05\", expect_size=\"19287040\"] \n  4 -> 16 [size =\"19287040\"]\n  4 -> 17 [size =\"19287040\"]\n  4 -> 19 [size =\"19287040\"]\n  4 -> 20 [size =\"19287040\"]\n  5 [size=\"102090240\", alpha=\"0.19\", expect_size=\"40836096\"] \n  5 -> 17 [size =\"40836096\"]\n  5 -> 20 [size =\"40836096\"]\n  6 [size=\"54860800\", alpha=\"0.03\", expect_size=\"21944320\"] \n  7 [size=\"19463680\", alpha=\"0.08\", expect_size=\"7785472\"] \n  7 -> 16 [size =\"7785472\"]\n  7 -> 19 [size =\"7785472\"]\n  8 [size=\"101519360\", alpha=\"0.19\", expect_size=\"40607744\"] \n  8 -> 20 [size =\"40607744\"]\n  9 [size=\"28218880\", alpha=\"0.05\", expect_size=\"11287552\"] \n  9 -> 18 [size =\"11287552\"]\n  9 -> 19 [size =\"11287552\"]\n  9 -> 20 [size =\"11287552\"]\n  10 [size=\"118430720\", alpha=\"0.10\", expect_size=\"47372288\"] \n  10 -> 14 [size =\"47372288\"]\n  11 [size=\"96965120\", alpha=\"0.05\", expect_size=\"38786048\"] \n  11 -> 15 [size =\"38786048\"]\n  11 -> 16 [size =\"38786048\"]\n  11 -> 17 [size =\"38786048\"]\n  12 [size=\"81886720\", alpha=\"0.09\", expect_size=\"32754688\"] \n  12 -> 16 [size =\"32754688\"]\n  12 -> 18 [size =\"32754688\"]\n  12 -> 19 [size =\"32754688\"]\n  12 -> 20 [size =\"32754688\"]\n  13 [size=\"70430720\", alpha=\"0.16\", expect_size=\"28172288\"] \n  13 -> 15 [size =\"28172288\"]\n  13 -> 19 [size =\"28172288\"]\n  14 [size=\"128908800\", alpha=\"0.07\", expect_size=\"51563520\"] \n  15 [size=\"41625600\", alpha=\"0.10\", expect_size=\"16650240\"] \n  16 [size=\"35210240\", alpha=\"0.10\", expect_size=\"14084096\"] \n  17 [size=\"55482880\", alpha=\"0.20\", expect_size=\"22193152\"] \n  18 [size=\"102886400\", alpha=\"0.07\", expect_size=\"41154560\"] \n  19 [size=\"98048000\", alpha=\"0.12\", expect_size=\"39219200\"] \n  20 [size=\"128619520\", alpha=\"0.08\", expect_size=\"51447808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97774933\", alpha=\"0.15\", expect_size=\"29332480\"] \n  1 -> 14 [size =\"29332480\"]\n  1 -> 19 [size =\"29332480\"]\n  2 [size=\"174336000\", alpha=\"0.10\", expect_size=\"52300800\"] \n  2 -> 14 [size =\"52300800\"]\n  2 -> 15 [size =\"52300800\"]\n  2 -> 18 [size =\"52300800\"]\n  2 -> 19 [size =\"52300800\"]\n  3 [size=\"18234027\", alpha=\"0.11\", expect_size=\"5470208\"] \n  3 -> 14 [size =\"5470208\"]\n  3 -> 15 [size =\"5470208\"]\n  3 -> 16 [size =\"5470208\"]\n  3 -> 19 [size =\"5470208\"]\n  3 -> 20 [size =\"5470208\"]\n  4 [size=\"39113387\", alpha=\"0.08\", expect_size=\"11734016\"] \n  4 -> 14 [size =\"11734016\"]\n  4 -> 15 [size =\"11734016\"]\n  4 -> 16 [size =\"11734016\"]\n  4 -> 19 [size =\"11734016\"]\n  5 [size=\"57825280\", alpha=\"0.17\", expect_size=\"17347584\"] \n  5 -> 14 [size =\"17347584\"]\n  5 -> 16 [size =\"17347584\"]\n  5 -> 16 [size =\"17347584\"]\n  5 -> 20 [size =\"17347584\"]\n  6 [size=\"81148587\", alpha=\"0.10\", expect_size=\"24344576\"] \n  6 -> 14 [size =\"24344576\"]\n  6 -> 17 [size =\"24344576\"]\n  6 -> 19 [size =\"24344576\"]\n  6 -> 20 [size =\"24344576\"]\n  7 [size=\"131481600\", alpha=\"0.17\", expect_size=\"39444480\"] \n  7 -> 15 [size =\"39444480\"]\n  7 -> 17 [size =\"39444480\"]\n  7 -> 19 [size =\"39444480\"]\n  8 [size=\"99659093\", alpha=\"0.09\", expect_size=\"29897728\"] \n  8 -> 16 [size =\"29897728\"]\n  8 -> 19 [size =\"29897728\"]\n  8 -> 20 [size =\"29897728\"]\n  9 [size=\"30651733\", alpha=\"0.10\", expect_size=\"9195520\"] \n  9 -> 15 [size =\"9195520\"]\n  9 -> 16 [size =\"9195520\"]\n  9 -> 19 [size =\"9195520\"]\n  9 -> 20 [size =\"9195520\"]\n  10 [size=\"106011307\", alpha=\"0.19\", expect_size=\"31803392\"] \n  10 -> 14 [size =\"31803392\"]\n  10 -> 17 [size =\"31803392\"]\n  10 -> 20 [size =\"31803392\"]\n  11 [size=\"129843200\", alpha=\"0.17\", expect_size=\"38952960\"] \n  11 -> 14 [size =\"38952960\"]\n  11 -> 16 [size =\"38952960\"]\n  11 -> 17 [size =\"38952960\"]\n  11 -> 20 [size =\"38952960\"]\n  12 [size=\"90344107\", alpha=\"0.15\", expect_size=\"27103232\"] \n  12 -> 14 [size =\"27103232\"]\n  12 -> 16 [size =\"27103232\"]\n  12 -> 17 [size =\"27103232\"]\n  12 -> 19 [size =\"27103232\"]\n  12 -> 20 [size =\"27103232\"]\n  13 [size=\"169482240\", alpha=\"0.06\", expect_size=\"50844672\"] \n  13 -> 14 [size =\"50844672\"]\n  13 -> 16 [size =\"50844672\"]\n  14 [size=\"95051093\", alpha=\"0.04\", expect_size=\"28515328\"] \n  15 [size=\"154514773\", alpha=\"0.15\", expect_size=\"46354432\"] \n  16 [size=\"127153493\", alpha=\"0.03\", expect_size=\"38146048\"] \n  17 [size=\"51046400\", alpha=\"0.16\", expect_size=\"15313920\"] \n  18 [size=\"24651093\", alpha=\"0.03\", expect_size=\"7395328\"] \n  19 [size=\"95003307\", alpha=\"0.17\", expect_size=\"28500992\"] \n  20 [size=\"170499413\", alpha=\"0.18\", expect_size=\"51149824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127559680\", alpha=\"0.15\", expect_size=\"38267904\"] \n  1 -> 2 [size =\"38267904\"]\n  1 -> 3 [size =\"38267904\"]\n  2 [size=\"170335573\", alpha=\"0.08\", expect_size=\"51100672\"] \n  3 [size=\"138089813\", alpha=\"0.17\", expect_size=\"41426944\"] \n  3 -> 4 [size =\"41426944\"]\n  4 [size=\"131170987\", alpha=\"0.15\", expect_size=\"39351296\"] \n  4 -> 5 [size =\"39351296\"]\n  4 -> 6 [size =\"39351296\"]\n  5 [size=\"62617600\", alpha=\"0.20\", expect_size=\"18785280\"] \n  5 -> 7 [size =\"18785280\"]\n  5 -> 8 [size =\"18785280\"]\n  6 [size=\"105314987\", alpha=\"0.13\", expect_size=\"31594496\"] \n  6 -> 8 [size =\"31594496\"]\n  7 [size=\"60467200\", alpha=\"0.13\", expect_size=\"18140160\"] \n  8 [size=\"77602133\", alpha=\"0.05\", expect_size=\"23280640\"] \n  8 -> 9 [size =\"23280640\"]\n  9 [size=\"145346560\", alpha=\"0.17\", expect_size=\"43603968\"] \n  9 -> 10 [size =\"43603968\"]\n  10 [size=\"83380907\", alpha=\"0.07\", expect_size=\"25014272\"] \n  10 -> 11 [size =\"25014272\"]\n  10 -> 12 [size =\"25014272\"]\n  11 [size=\"75482453\", alpha=\"0.17\", expect_size=\"22644736\"] \n  11 -> 13 [size =\"22644736\"]\n  11 -> 14 [size =\"22644736\"]\n  12 [size=\"32392533\", alpha=\"0.00\", expect_size=\"9717760\"] \n  12 -> 13 [size =\"9717760\"]\n  13 [size=\"98017280\", alpha=\"0.17\", expect_size=\"29405184\"] \n  14 [size=\"74519893\", alpha=\"0.01\", expect_size=\"22355968\"] \n  14 -> 15 [size =\"22355968\"]\n  14 -> 16 [size =\"22355968\"]\n  15 [size=\"34020693\", alpha=\"0.09\", expect_size=\"10206208\"] \n  15 -> 17 [size =\"10206208\"]\n  16 [size=\"30443520\", alpha=\"0.02\", expect_size=\"9133056\"] \n  16 -> 18 [size =\"9133056\"]\n  17 [size=\"134273707\", alpha=\"0.18\", expect_size=\"40282112\"] \n  17 -> 20 [size =\"40282112\"]\n  18 [size=\"76496213\", alpha=\"0.05\", expect_size=\"22948864\"] \n  18 -> 19 [size =\"22948864\"]\n  19 [size=\"114824533\", alpha=\"0.15\", expect_size=\"34447360\"] \n  20 [size=\"88081067\", alpha=\"0.19\", expect_size=\"26424320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153821867\", alpha=\"0.14\", expect_size=\"46146560\"] \n  1 -> 4 [size =\"46146560\"]\n  2 [size=\"151534933\", alpha=\"0.15\", expect_size=\"45460480\"] \n  3 [size=\"17916587\", alpha=\"0.04\", expect_size=\"5374976\"] \n  3 -> 5 [size =\"5374976\"]\n  3 -> 6 [size =\"5374976\"]\n  3 -> 7 [size =\"5374976\"]\n  4 [size=\"79086933\", alpha=\"0.19\", expect_size=\"23726080\"] \n  4 -> 9 [size =\"23726080\"]\n  4 -> 10 [size =\"23726080\"]\n  4 -> 11 [size =\"23726080\"]\n  5 [size=\"41748480\", alpha=\"0.20\", expect_size=\"12524544\"] \n  5 -> 8 [size =\"12524544\"]\n  6 [size=\"69833387\", alpha=\"0.10\", expect_size=\"20950016\"] \n  6 -> 8 [size =\"20950016\"]\n  6 -> 10 [size =\"20950016\"]\n  7 [size=\"135178240\", alpha=\"0.18\", expect_size=\"40553472\"] \n  7 -> 9 [size =\"40553472\"]\n  7 -> 11 [size =\"40553472\"]\n  8 [size=\"167256747\", alpha=\"0.06\", expect_size=\"50177024\"] \n  8 -> 13 [size =\"50177024\"]\n  9 [size=\"97518933\", alpha=\"0.02\", expect_size=\"29255680\"] \n  9 -> 13 [size =\"29255680\"]\n  10 [size=\"52684800\", alpha=\"0.01\", expect_size=\"15805440\"] \n  10 -> 12 [size =\"15805440\"]\n  11 [size=\"111373653\", alpha=\"0.05\", expect_size=\"33412096\"] \n  11 -> 14 [size =\"33412096\"]\n  12 [size=\"66983253\", alpha=\"0.06\", expect_size=\"20094976\"] \n  12 -> 15 [size =\"20094976\"]\n  12 -> 17 [size =\"20094976\"]\n  12 -> 18 [size =\"20094976\"]\n  13 [size=\"31488000\", alpha=\"0.17\", expect_size=\"9446400\"] \n  14 [size=\"64505173\", alpha=\"0.18\", expect_size=\"19351552\"] \n  14 -> 15 [size =\"19351552\"]\n  14 -> 16 [size =\"19351552\"]\n  15 [size=\"56050347\", alpha=\"0.11\", expect_size=\"16815104\"] \n  16 [size=\"55347200\", alpha=\"0.14\", expect_size=\"16604160\"] \n  16 -> 19 [size =\"16604160\"]\n  16 -> 20 [size =\"16604160\"]\n  17 [size=\"131563520\", alpha=\"0.00\", expect_size=\"39469056\"] \n  17 -> 19 [size =\"39469056\"]\n  18 [size=\"115206827\", alpha=\"0.07\", expect_size=\"34562048\"] \n  19 [size=\"160235520\", alpha=\"0.01\", expect_size=\"48070656\"] \n  20 [size=\"173448533\", alpha=\"0.19\", expect_size=\"52034560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51484160\", alpha=\"0.16\", expect_size=\"20593664\"] \n  1 -> 5 [size =\"20593664\"]\n  1 -> 6 [size =\"20593664\"]\n  1 -> 10 [size =\"20593664\"]\n  1 -> 11 [size =\"20593664\"]\n  1 -> 13 [size =\"20593664\"]\n  2 [size=\"23600640\", alpha=\"0.07\", expect_size=\"9440256\"] \n  2 -> 7 [size =\"9440256\"]\n  2 -> 8 [size =\"9440256\"]\n  2 -> 9 [size =\"9440256\"]\n  2 -> 13 [size =\"9440256\"]\n  3 [size=\"15667200\", alpha=\"0.12\", expect_size=\"6266880\"] \n  3 -> 8 [size =\"6266880\"]\n  3 -> 9 [size =\"6266880\"]\n  4 [size=\"49136640\", alpha=\"0.14\", expect_size=\"19654656\"] \n  4 -> 6 [size =\"19654656\"]\n  4 -> 11 [size =\"19654656\"]\n  4 -> 12 [size =\"19654656\"]\n  4 -> 13 [size =\"19654656\"]\n  5 [size=\"108776960\", alpha=\"0.10\", expect_size=\"43510784\"] \n  5 -> 17 [size =\"43510784\"]\n  5 -> 20 [size =\"43510784\"]\n  6 [size=\"17930240\", alpha=\"0.03\", expect_size=\"7172096\"] \n  6 -> 14 [size =\"7172096\"]\n  7 [size=\"65208320\", alpha=\"0.05\", expect_size=\"26083328\"] \n  7 -> 15 [size =\"26083328\"]\n  7 -> 17 [size =\"26083328\"]\n  7 -> 19 [size =\"26083328\"]\n  8 [size=\"96637440\", alpha=\"0.06\", expect_size=\"38654976\"] \n  8 -> 18 [size =\"38654976\"]\n  8 -> 20 [size =\"38654976\"]\n  9 [size=\"112691200\", alpha=\"0.08\", expect_size=\"45076480\"] \n  9 -> 15 [size =\"45076480\"]\n  9 -> 20 [size =\"45076480\"]\n  10 [size=\"41689600\", alpha=\"0.01\", expect_size=\"16675840\"] \n  10 -> 14 [size =\"16675840\"]\n  11 [size=\"20554240\", alpha=\"0.18\", expect_size=\"8221696\"] \n  11 -> 18 [size =\"8221696\"]\n  12 [size=\"116766720\", alpha=\"0.03\", expect_size=\"46706688\"] \n  12 -> 15 [size =\"46706688\"]\n  12 -> 16 [size =\"46706688\"]\n  13 [size=\"37719040\", alpha=\"0.15\", expect_size=\"15087616\"] \n  13 -> 14 [size =\"15087616\"]\n  13 -> 15 [size =\"15087616\"]\n  13 -> 16 [size =\"15087616\"]\n  13 -> 18 [size =\"15087616\"]\n  13 -> 19 [size =\"15087616\"]\n  13 -> 20 [size =\"15087616\"]\n  14 [size=\"108454400\", alpha=\"0.18\", expect_size=\"43381760\"] \n  15 [size=\"72494080\", alpha=\"0.16\", expect_size=\"28997632\"] \n  16 [size=\"128811520\", alpha=\"0.06\", expect_size=\"51524608\"] \n  17 [size=\"27788800\", alpha=\"0.17\", expect_size=\"11115520\"] \n  18 [size=\"55042560\", alpha=\"0.13\", expect_size=\"22017024\"] \n  19 [size=\"92884480\", alpha=\"0.13\", expect_size=\"37153792\"] \n  20 [size=\"24509440\", alpha=\"0.15\", expect_size=\"9803776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32716800\", alpha=\"0.03\", expect_size=\"16358400\"] \n  1 -> 13 [size =\"16358400\"]\n  1 -> 14 [size =\"16358400\"]\n  1 -> 17 [size =\"16358400\"]\n  1 -> 18 [size =\"16358400\"]\n  2 [size=\"56346624\", alpha=\"0.03\", expect_size=\"28173312\"] \n  2 -> 13 [size =\"28173312\"]\n  2 -> 15 [size =\"28173312\"]\n  2 -> 18 [size =\"28173312\"]\n  3 [size=\"81786880\", alpha=\"0.02\", expect_size=\"40893440\"] \n  3 -> 13 [size =\"40893440\"]\n  3 -> 14 [size =\"40893440\"]\n  3 -> 17 [size =\"40893440\"]\n  3 -> 19 [size =\"40893440\"]\n  4 [size=\"19542016\", alpha=\"0.17\", expect_size=\"9771008\"] \n  4 -> 13 [size =\"9771008\"]\n  4 -> 16 [size =\"9771008\"]\n  4 -> 18 [size =\"9771008\"]\n  5 [size=\"27691008\", alpha=\"0.19\", expect_size=\"13845504\"] \n  5 -> 14 [size =\"13845504\"]\n  5 -> 17 [size =\"13845504\"]\n  6 [size=\"37337088\", alpha=\"0.09\", expect_size=\"18668544\"] \n  6 -> 12 [size =\"18668544\"]\n  6 -> 15 [size =\"18668544\"]\n  6 -> 20 [size =\"18668544\"]\n  7 [size=\"93280256\", alpha=\"0.13\", expect_size=\"46640128\"] \n  7 -> 14 [size =\"46640128\"]\n  8 [size=\"44810240\", alpha=\"0.15\", expect_size=\"22405120\"] \n  8 -> 13 [size =\"22405120\"]\n  8 -> 14 [size =\"22405120\"]\n  8 -> 20 [size =\"22405120\"]\n  9 [size=\"55087104\", alpha=\"0.16\", expect_size=\"27543552\"] \n  9 -> 14 [size =\"27543552\"]\n  9 -> 16 [size =\"27543552\"]\n  9 -> 18 [size =\"27543552\"]\n  9 -> 19 [size =\"27543552\"]\n  10 [size=\"94308352\", alpha=\"0.20\", expect_size=\"47154176\"] \n  10 -> 15 [size =\"47154176\"]\n  10 -> 16 [size =\"47154176\"]\n  11 [size=\"81940480\", alpha=\"0.16\", expect_size=\"40970240\"] \n  11 -> 13 [size =\"40970240\"]\n  11 -> 18 [size =\"40970240\"]\n  11 -> 19 [size =\"40970240\"]\n  12 [size=\"96563200\", alpha=\"0.09\", expect_size=\"48281600\"] \n  13 [size=\"17125376\", alpha=\"0.15\", expect_size=\"8562688\"] \n  14 [size=\"27697152\", alpha=\"0.16\", expect_size=\"13848576\"] \n  15 [size=\"13006848\", alpha=\"0.10\", expect_size=\"6503424\"] \n  16 [size=\"103723008\", alpha=\"0.12\", expect_size=\"51861504\"] \n  17 [size=\"54097920\", alpha=\"0.00\", expect_size=\"27048960\"] \n  18 [size=\"21997568\", alpha=\"0.18\", expect_size=\"10998784\"] \n  19 [size=\"94150656\", alpha=\"0.18\", expect_size=\"47075328\"] \n  20 [size=\"76941312\", alpha=\"0.10\", expect_size=\"38470656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126685867\", alpha=\"0.04\", expect_size=\"38005760\"] \n  2 [size=\"156753920\", alpha=\"0.15\", expect_size=\"47026176\"] \n  2 -> 6 [size =\"47026176\"]\n  3 [size=\"113257813\", alpha=\"0.08\", expect_size=\"33977344\"] \n  3 -> 5 [size =\"33977344\"]\n  4 [size=\"157764267\", alpha=\"0.15\", expect_size=\"47329280\"] \n  4 -> 5 [size =\"47329280\"]\n  5 [size=\"166724267\", alpha=\"0.06\", expect_size=\"50017280\"] \n  5 -> 7 [size =\"50017280\"]\n  5 -> 9 [size =\"50017280\"]\n  6 [size=\"147196587\", alpha=\"0.12\", expect_size=\"44158976\"] \n  6 -> 7 [size =\"44158976\"]\n  6 -> 8 [size =\"44158976\"]\n  6 -> 9 [size =\"44158976\"]\n  6 -> 10 [size =\"44158976\"]\n  7 [size=\"39830187\", alpha=\"0.11\", expect_size=\"11949056\"] \n  7 -> 12 [size =\"11949056\"]\n  8 [size=\"78742187\", alpha=\"0.02\", expect_size=\"23622656\"] \n  8 -> 13 [size =\"23622656\"]\n  9 [size=\"105891840\", alpha=\"0.09\", expect_size=\"31767552\"] \n  9 -> 11 [size =\"31767552\"]\n  10 [size=\"125716480\", alpha=\"0.10\", expect_size=\"37714944\"] \n  11 [size=\"49752747\", alpha=\"0.19\", expect_size=\"14925824\"] \n  11 -> 14 [size =\"14925824\"]\n  11 -> 15 [size =\"14925824\"]\n  12 [size=\"79001600\", alpha=\"0.04\", expect_size=\"23700480\"] \n  12 -> 15 [size =\"23700480\"]\n  13 [size=\"40663040\", alpha=\"0.11\", expect_size=\"12198912\"] \n  14 [size=\"105335467\", alpha=\"0.15\", expect_size=\"31600640\"] \n  14 -> 16 [size =\"31600640\"]\n  14 -> 17 [size =\"31600640\"]\n  15 [size=\"68379307\", alpha=\"0.11\", expect_size=\"20513792\"] \n  16 [size=\"112005120\", alpha=\"0.16\", expect_size=\"33601536\"] \n  16 -> 19 [size =\"33601536\"]\n  17 [size=\"47889067\", alpha=\"0.16\", expect_size=\"14366720\"] \n  17 -> 18 [size =\"14366720\"]\n  18 [size=\"134242987\", alpha=\"0.16\", expect_size=\"40272896\"] \n  19 [size=\"148565333\", alpha=\"0.10\", expect_size=\"44569600\"] \n  19 -> 20 [size =\"44569600\"]\n  20 [size=\"60634453\", alpha=\"0.09\", expect_size=\"18190336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150889813\", alpha=\"0.17\", expect_size=\"45266944\"] \n  1 -> 2 [size =\"45266944\"]\n  2 [size=\"155688960\", alpha=\"0.05\", expect_size=\"46706688\"] \n  2 -> 3 [size =\"46706688\"]\n  3 [size=\"46714880\", alpha=\"0.20\", expect_size=\"14014464\"] \n  3 -> 4 [size =\"14014464\"]\n  4 [size=\"125610667\", alpha=\"0.05\", expect_size=\"37683200\"] \n  4 -> 5 [size =\"37683200\"]\n  5 [size=\"145861973\", alpha=\"0.03\", expect_size=\"43758592\"] \n  5 -> 6 [size =\"43758592\"]\n  6 [size=\"131529387\", alpha=\"0.01\", expect_size=\"39458816\"] \n  6 -> 7 [size =\"39458816\"]\n  7 [size=\"28774400\", alpha=\"0.13\", expect_size=\"8632320\"] \n  7 -> 8 [size =\"8632320\"]\n  8 [size=\"114100907\", alpha=\"0.16\", expect_size=\"34230272\"] \n  8 -> 9 [size =\"34230272\"]\n  9 [size=\"173492907\", alpha=\"0.18\", expect_size=\"52047872\"] \n  9 -> 10 [size =\"52047872\"]\n  10 [size=\"143073280\", alpha=\"0.06\", expect_size=\"42921984\"] \n  10 -> 11 [size =\"42921984\"]\n  11 [size=\"43407360\", alpha=\"0.11\", expect_size=\"13022208\"] \n  11 -> 12 [size =\"13022208\"]\n  12 [size=\"19189760\", alpha=\"0.12\", expect_size=\"5756928\"] \n  12 -> 13 [size =\"5756928\"]\n  13 [size=\"58767360\", alpha=\"0.13\", expect_size=\"17630208\"] \n  13 -> 14 [size =\"17630208\"]\n  14 [size=\"57197227\", alpha=\"0.02\", expect_size=\"17159168\"] \n  14 -> 15 [size =\"17159168\"]\n  15 [size=\"98635093\", alpha=\"0.01\", expect_size=\"29590528\"] \n  15 -> 16 [size =\"29590528\"]\n  16 [size=\"125832533\", alpha=\"0.01\", expect_size=\"37749760\"] \n  16 -> 17 [size =\"37749760\"]\n  17 [size=\"136768853\", alpha=\"0.12\", expect_size=\"41030656\"] \n  17 -> 18 [size =\"41030656\"]\n  18 [size=\"78346240\", alpha=\"0.19\", expect_size=\"23503872\"] \n  18 -> 19 [size =\"23503872\"]\n  19 [size=\"45516800\", alpha=\"0.11\", expect_size=\"13655040\"] \n  19 -> 20 [size =\"13655040\"]\n  20 [size=\"31525547\", alpha=\"0.01\", expect_size=\"9457664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65847296\", alpha=\"0.15\", expect_size=\"32923648\"] \n  1 -> 2 [size =\"32923648\"]\n  1 -> 3 [size =\"32923648\"]\n  2 [size=\"49526784\", alpha=\"0.12\", expect_size=\"24763392\"] \n  3 [size=\"65726464\", alpha=\"0.03\", expect_size=\"32863232\"] \n  3 -> 4 [size =\"32863232\"]\n  4 [size=\"15857664\", alpha=\"0.01\", expect_size=\"7928832\"] \n  4 -> 5 [size =\"7928832\"]\n  4 -> 6 [size =\"7928832\"]\n  5 [size=\"15155200\", alpha=\"0.14\", expect_size=\"7577600\"] \n  6 [size=\"57907200\", alpha=\"0.20\", expect_size=\"28953600\"] \n  6 -> 7 [size =\"28953600\"]\n  7 [size=\"57509888\", alpha=\"0.19\", expect_size=\"28754944\"] \n  7 -> 8 [size =\"28754944\"]\n  8 [size=\"103811072\", alpha=\"0.15\", expect_size=\"51905536\"] \n  8 -> 9 [size =\"51905536\"]\n  8 -> 10 [size =\"51905536\"]\n  9 [size=\"19161088\", alpha=\"0.08\", expect_size=\"9580544\"] \n  10 [size=\"38053888\", alpha=\"0.18\", expect_size=\"19026944\"] \n  10 -> 11 [size =\"19026944\"]\n  11 [size=\"71493632\", alpha=\"0.04\", expect_size=\"35746816\"] \n  11 -> 12 [size =\"35746816\"]\n  12 [size=\"49610752\", alpha=\"0.15\", expect_size=\"24805376\"] \n  12 -> 13 [size =\"24805376\"]\n  12 -> 14 [size =\"24805376\"]\n  13 [size=\"104488960\", alpha=\"0.13\", expect_size=\"52244480\"] \n  13 -> 15 [size =\"52244480\"]\n  14 [size=\"26609664\", alpha=\"0.07\", expect_size=\"13304832\"] \n  15 [size=\"30531584\", alpha=\"0.05\", expect_size=\"15265792\"] \n  15 -> 16 [size =\"15265792\"]\n  15 -> 17 [size =\"15265792\"]\n  16 [size=\"98787328\", alpha=\"0.20\", expect_size=\"49393664\"] \n  17 [size=\"96937984\", alpha=\"0.00\", expect_size=\"48468992\"] \n  17 -> 18 [size =\"48468992\"]\n  17 -> 19 [size =\"48468992\"]\n  18 [size=\"93972480\", alpha=\"0.04\", expect_size=\"46986240\"] \n  19 [size=\"70612992\", alpha=\"0.14\", expect_size=\"35306496\"] \n  19 -> 20 [size =\"35306496\"]\n  20 [size=\"11804672\", alpha=\"0.18\", expect_size=\"5902336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100355413\", alpha=\"0.09\", expect_size=\"30106624\"] \n  1 -> 2 [size =\"30106624\"]\n  1 -> 3 [size =\"30106624\"]\n  2 [size=\"28156587\", alpha=\"0.13\", expect_size=\"8446976\"] \n  2 -> 4 [size =\"8446976\"]\n  2 -> 5 [size =\"8446976\"]\n  3 [size=\"86678187\", alpha=\"0.08\", expect_size=\"26003456\"] \n  3 -> 4 [size =\"26003456\"]\n  3 -> 5 [size =\"26003456\"]\n  4 [size=\"53251413\", alpha=\"0.02\", expect_size=\"15975424\"] \n  4 -> 6 [size =\"15975424\"]\n  4 -> 7 [size =\"15975424\"]\n  5 [size=\"64054613\", alpha=\"0.10\", expect_size=\"19216384\"] \n  5 -> 6 [size =\"19216384\"]\n  5 -> 7 [size =\"19216384\"]\n  6 [size=\"90692267\", alpha=\"0.08\", expect_size=\"27207680\"] \n  6 -> 8 [size =\"27207680\"]\n  6 -> 9 [size =\"27207680\"]\n  7 [size=\"37314560\", alpha=\"0.18\", expect_size=\"11194368\"] \n  8 [size=\"166495573\", alpha=\"0.10\", expect_size=\"49948672\"] \n  8 -> 10 [size =\"49948672\"]\n  9 [size=\"144155307\", alpha=\"0.00\", expect_size=\"43246592\"] \n  9 -> 10 [size =\"43246592\"]\n  10 [size=\"95750827\", alpha=\"0.16\", expect_size=\"28725248\"] \n  10 -> 11 [size =\"28725248\"]\n  10 -> 12 [size =\"28725248\"]\n  11 [size=\"51425280\", alpha=\"0.13\", expect_size=\"15427584\"] \n  11 -> 13 [size =\"15427584\"]\n  11 -> 14 [size =\"15427584\"]\n  12 [size=\"123272533\", alpha=\"0.07\", expect_size=\"36981760\"] \n  12 -> 13 [size =\"36981760\"]\n  12 -> 14 [size =\"36981760\"]\n  13 [size=\"65088853\", alpha=\"0.06\", expect_size=\"19526656\"] \n  13 -> 16 [size =\"19526656\"]\n  14 [size=\"128597333\", alpha=\"0.16\", expect_size=\"38579200\"] \n  14 -> 15 [size =\"38579200\"]\n  14 -> 16 [size =\"38579200\"]\n  15 [size=\"140977493\", alpha=\"0.19\", expect_size=\"42293248\"] \n  15 -> 17 [size =\"42293248\"]\n  16 [size=\"62047573\", alpha=\"0.04\", expect_size=\"18614272\"] \n  16 -> 17 [size =\"18614272\"]\n  16 -> 18 [size =\"18614272\"]\n  17 [size=\"125900800\", alpha=\"0.14\", expect_size=\"37770240\"] \n  17 -> 19 [size =\"37770240\"]\n  17 -> 20 [size =\"37770240\"]\n  18 [size=\"106912427\", alpha=\"0.01\", expect_size=\"32073728\"] \n  18 -> 19 [size =\"32073728\"]\n  18 -> 20 [size =\"32073728\"]\n  19 [size=\"29368320\", alpha=\"0.10\", expect_size=\"8810496\"] \n  20 [size=\"31269547\", alpha=\"0.18\", expect_size=\"9380864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58145280\", alpha=\"0.10\", expect_size=\"23258112\"] \n  1 -> 2 [size =\"23258112\"]\n  2 [size=\"18967040\", alpha=\"0.09\", expect_size=\"7586816\"] \n  2 -> 3 [size =\"7586816\"]\n  3 [size=\"60078080\", alpha=\"0.02\", expect_size=\"24031232\"] \n  3 -> 4 [size =\"24031232\"]\n  4 [size=\"103823360\", alpha=\"0.16\", expect_size=\"41529344\"] \n  4 -> 5 [size =\"41529344\"]\n  5 [size=\"62499840\", alpha=\"0.01\", expect_size=\"24999936\"] \n  5 -> 6 [size =\"24999936\"]\n  6 [size=\"30464000\", alpha=\"0.16\", expect_size=\"12185600\"] \n  6 -> 7 [size =\"12185600\"]\n  7 [size=\"123054080\", alpha=\"0.15\", expect_size=\"49221632\"] \n  7 -> 8 [size =\"49221632\"]\n  8 [size=\"92369920\", alpha=\"0.18\", expect_size=\"36947968\"] \n  8 -> 9 [size =\"36947968\"]\n  9 [size=\"40852480\", alpha=\"0.10\", expect_size=\"16340992\"] \n  9 -> 10 [size =\"16340992\"]\n  10 [size=\"99412480\", alpha=\"0.07\", expect_size=\"39764992\"] \n  10 -> 11 [size =\"39764992\"]\n  11 [size=\"126635520\", alpha=\"0.09\", expect_size=\"50654208\"] \n  11 -> 12 [size =\"50654208\"]\n  12 [size=\"66222080\", alpha=\"0.11\", expect_size=\"26488832\"] \n  12 -> 13 [size =\"26488832\"]\n  13 [size=\"120552960\", alpha=\"0.05\", expect_size=\"48221184\"] \n  13 -> 14 [size =\"48221184\"]\n  14 [size=\"13803520\", alpha=\"0.10\", expect_size=\"5521408\"] \n  14 -> 15 [size =\"5521408\"]\n  15 [size=\"106465280\", alpha=\"0.04\", expect_size=\"42586112\"] \n  15 -> 16 [size =\"42586112\"]\n  16 [size=\"112826880\", alpha=\"0.19\", expect_size=\"45130752\"] \n  16 -> 17 [size =\"45130752\"]\n  17 [size=\"87083520\", alpha=\"0.05\", expect_size=\"34833408\"] \n  17 -> 18 [size =\"34833408\"]\n  18 [size=\"56985600\", alpha=\"0.18\", expect_size=\"22794240\"] \n  18 -> 19 [size =\"22794240\"]\n  19 [size=\"42242560\", alpha=\"0.12\", expect_size=\"16897024\"] \n  19 -> 20 [size =\"16897024\"]\n  20 [size=\"101588480\", alpha=\"0.16\", expect_size=\"40635392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66234368\", alpha=\"0.12\", expect_size=\"33117184\"] \n  1 -> 2 [size =\"33117184\"]\n  2 [size=\"72148992\", alpha=\"0.08\", expect_size=\"36074496\"] \n  2 -> 3 [size =\"36074496\"]\n  3 [size=\"12011520\", alpha=\"0.07\", expect_size=\"6005760\"] \n  3 -> 4 [size =\"6005760\"]\n  4 [size=\"29100032\", alpha=\"0.13\", expect_size=\"14550016\"] \n  4 -> 5 [size =\"14550016\"]\n  5 [size=\"18403328\", alpha=\"0.17\", expect_size=\"9201664\"] \n  5 -> 6 [size =\"9201664\"]\n  6 [size=\"21037056\", alpha=\"0.13\", expect_size=\"10518528\"] \n  6 -> 7 [size =\"10518528\"]\n  7 [size=\"36794368\", alpha=\"0.18\", expect_size=\"18397184\"] \n  7 -> 8 [size =\"18397184\"]\n  8 [size=\"14604288\", alpha=\"0.14\", expect_size=\"7302144\"] \n  8 -> 9 [size =\"7302144\"]\n  9 [size=\"34863104\", alpha=\"0.04\", expect_size=\"17431552\"] \n  9 -> 10 [size =\"17431552\"]\n  10 [size=\"38330368\", alpha=\"0.02\", expect_size=\"19165184\"] \n  10 -> 11 [size =\"19165184\"]\n  11 [size=\"58255360\", alpha=\"0.13\", expect_size=\"29127680\"] \n  11 -> 12 [size =\"29127680\"]\n  12 [size=\"19599360\", alpha=\"0.09\", expect_size=\"9799680\"] \n  12 -> 13 [size =\"9799680\"]\n  13 [size=\"56555520\", alpha=\"0.14\", expect_size=\"28277760\"] \n  13 -> 14 [size =\"28277760\"]\n  14 [size=\"90968064\", alpha=\"0.05\", expect_size=\"45484032\"] \n  14 -> 15 [size =\"45484032\"]\n  15 [size=\"55928832\", alpha=\"0.04\", expect_size=\"27964416\"] \n  15 -> 16 [size =\"27964416\"]\n  16 [size=\"42303488\", alpha=\"0.07\", expect_size=\"21151744\"] \n  16 -> 17 [size =\"21151744\"]\n  17 [size=\"10622976\", alpha=\"0.20\", expect_size=\"5311488\"] \n  17 -> 18 [size =\"5311488\"]\n  18 [size=\"93538304\", alpha=\"0.08\", expect_size=\"46769152\"] \n  18 -> 19 [size =\"46769152\"]\n  19 [size=\"66105344\", alpha=\"0.18\", expect_size=\"33052672\"] \n  19 -> 20 [size =\"33052672\"]\n  20 [size=\"86118400\", alpha=\"0.03\", expect_size=\"43059200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97871872\", alpha=\"0.06\", expect_size=\"48935936\"] \n  1 -> 3 [size =\"48935936\"]\n  2 [size=\"38436864\", alpha=\"0.05\", expect_size=\"19218432\"] \n  3 [size=\"70942720\", alpha=\"0.08\", expect_size=\"35471360\"] \n  3 -> 4 [size =\"35471360\"]\n  4 [size=\"82821120\", alpha=\"0.09\", expect_size=\"41410560\"] \n  4 -> 5 [size =\"41410560\"]\n  5 [size=\"24991744\", alpha=\"0.17\", expect_size=\"12495872\"] \n  5 -> 6 [size =\"12495872\"]\n  6 [size=\"86398976\", alpha=\"0.01\", expect_size=\"43199488\"] \n  6 -> 7 [size =\"43199488\"]\n  7 [size=\"37277696\", alpha=\"0.09\", expect_size=\"18638848\"] \n  7 -> 8 [size =\"18638848\"]\n  7 -> 9 [size =\"18638848\"]\n  8 [size=\"53708800\", alpha=\"0.14\", expect_size=\"26854400\"] \n  9 [size=\"11350016\", alpha=\"0.20\", expect_size=\"5675008\"] \n  9 -> 10 [size =\"5675008\"]\n  10 [size=\"73814016\", alpha=\"0.06\", expect_size=\"36907008\"] \n  10 -> 11 [size =\"36907008\"]\n  10 -> 12 [size =\"36907008\"]\n  11 [size=\"74854400\", alpha=\"0.14\", expect_size=\"37427200\"] \n  11 -> 14 [size =\"37427200\"]\n  12 [size=\"102406144\", alpha=\"0.05\", expect_size=\"51203072\"] \n  12 -> 13 [size =\"51203072\"]\n  13 [size=\"30330880\", alpha=\"0.05\", expect_size=\"15165440\"] \n  13 -> 15 [size =\"15165440\"]\n  14 [size=\"67743744\", alpha=\"0.02\", expect_size=\"33871872\"] \n  15 [size=\"14561280\", alpha=\"0.03\", expect_size=\"7280640\"] \n  15 -> 16 [size =\"7280640\"]\n  15 -> 17 [size =\"7280640\"]\n  16 [size=\"92483584\", alpha=\"0.04\", expect_size=\"46241792\"] \n  17 [size=\"96124928\", alpha=\"0.12\", expect_size=\"48062464\"] \n  17 -> 18 [size =\"48062464\"]\n  18 [size=\"42780672\", alpha=\"0.11\", expect_size=\"21390336\"] \n  18 -> 19 [size =\"21390336\"]\n  19 [size=\"13729792\", alpha=\"0.07\", expect_size=\"6864896\"] \n  19 -> 20 [size =\"6864896\"]\n  20 [size=\"11520000\", alpha=\"0.06\", expect_size=\"5760000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18718720\", alpha=\"0.02\", expect_size=\"5615616\"] \n  1 -> 9 [size =\"5615616\"]\n  1 -> 10 [size =\"5615616\"]\n  1 -> 11 [size =\"5615616\"]\n  1 -> 15 [size =\"5615616\"]\n  1 -> 16 [size =\"5615616\"]\n  2 [size=\"135970133\", alpha=\"0.03\", expect_size=\"40791040\"] \n  2 -> 14 [size =\"40791040\"]\n  3 [size=\"25931093\", alpha=\"0.20\", expect_size=\"7779328\"] \n  3 -> 9 [size =\"7779328\"]\n  3 -> 10 [size =\"7779328\"]\n  3 -> 12 [size =\"7779328\"]\n  3 -> 13 [size =\"7779328\"]\n  3 -> 15 [size =\"7779328\"]\n  4 [size=\"86193493\", alpha=\"0.10\", expect_size=\"25858048\"] \n  4 -> 12 [size =\"25858048\"]\n  4 -> 13 [size =\"25858048\"]\n  5 [size=\"71338667\", alpha=\"0.06\", expect_size=\"21401600\"] \n  6 [size=\"45711360\", alpha=\"0.08\", expect_size=\"13713408\"] \n  6 -> 12 [size =\"13713408\"]\n  6 -> 13 [size =\"13713408\"]\n  6 -> 15 [size =\"13713408\"]\n  6 -> 16 [size =\"13713408\"]\n  7 [size=\"134761813\", alpha=\"0.03\", expect_size=\"40428544\"] \n  7 -> 10 [size =\"40428544\"]\n  8 [size=\"52394667\", alpha=\"0.17\", expect_size=\"15718400\"] \n  8 -> 10 [size =\"15718400\"]\n  8 -> 13 [size =\"15718400\"]\n  9 [size=\"102539947\", alpha=\"0.09\", expect_size=\"30761984\"] \n  9 -> 20 [size =\"30761984\"]\n  10 [size=\"22575787\", alpha=\"0.20\", expect_size=\"6772736\"] \n  10 -> 19 [size =\"6772736\"]\n  11 [size=\"114548053\", alpha=\"0.15\", expect_size=\"34364416\"] \n  11 -> 20 [size =\"34364416\"]\n  12 [size=\"132775253\", alpha=\"0.12\", expect_size=\"39832576\"] \n  12 -> 20 [size =\"39832576\"]\n  13 [size=\"158341120\", alpha=\"0.18\", expect_size=\"47502336\"] \n  13 -> 18 [size =\"47502336\"]\n  14 [size=\"156207787\", alpha=\"0.07\", expect_size=\"46862336\"] \n  14 -> 17 [size =\"46862336\"]\n  14 -> 20 [size =\"46862336\"]\n  15 [size=\"76847787\", alpha=\"0.12\", expect_size=\"23054336\"] \n  15 -> 17 [size =\"23054336\"]\n  16 [size=\"127518720\", alpha=\"0.09\", expect_size=\"38255616\"] \n  16 -> 17 [size =\"38255616\"]\n  17 [size=\"30522027\", alpha=\"0.07\", expect_size=\"9156608\"] \n  18 [size=\"52807680\", alpha=\"0.04\", expect_size=\"15842304\"] \n  19 [size=\"30754133\", alpha=\"0.18\", expect_size=\"9226240\"] \n  20 [size=\"102799360\", alpha=\"0.07\", expect_size=\"30839808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63703040\", alpha=\"0.19\", expect_size=\"31851520\"] \n  1 -> 7 [size =\"31851520\"]\n  2 [size=\"84187136\", alpha=\"0.07\", expect_size=\"42093568\"] \n  2 -> 7 [size =\"42093568\"]\n  3 [size=\"40589312\", alpha=\"0.11\", expect_size=\"20294656\"] \n  3 -> 6 [size =\"20294656\"]\n  3 -> 8 [size =\"20294656\"]\n  3 -> 9 [size =\"20294656\"]\n  3 -> 10 [size =\"20294656\"]\n  4 [size=\"103815168\", alpha=\"0.03\", expect_size=\"51907584\"] \n  4 -> 6 [size =\"51907584\"]\n  4 -> 9 [size =\"51907584\"]\n  5 [size=\"91916288\", alpha=\"0.14\", expect_size=\"45958144\"] \n  5 -> 7 [size =\"45958144\"]\n  5 -> 8 [size =\"45958144\"]\n  5 -> 9 [size =\"45958144\"]\n  6 [size=\"61673472\", alpha=\"0.07\", expect_size=\"30836736\"] \n  6 -> 11 [size =\"30836736\"]\n  6 -> 13 [size =\"30836736\"]\n  7 [size=\"48328704\", alpha=\"0.06\", expect_size=\"24164352\"] \n  7 -> 13 [size =\"24164352\"]\n  7 -> 14 [size =\"24164352\"]\n  8 [size=\"38762496\", alpha=\"0.19\", expect_size=\"19381248\"] \n  8 -> 11 [size =\"19381248\"]\n  8 -> 12 [size =\"19381248\"]\n  8 -> 13 [size =\"19381248\"]\n  8 -> 14 [size =\"19381248\"]\n  9 [size=\"20862976\", alpha=\"0.17\", expect_size=\"10431488\"] \n  9 -> 14 [size =\"10431488\"]\n  10 [size=\"103051264\", alpha=\"0.11\", expect_size=\"51525632\"] \n  10 -> 11 [size =\"51525632\"]\n  11 [size=\"68988928\", alpha=\"0.10\", expect_size=\"34494464\"] \n  11 -> 15 [size =\"34494464\"]\n  11 -> 16 [size =\"34494464\"]\n  11 -> 17 [size =\"34494464\"]\n  12 [size=\"63848448\", alpha=\"0.15\", expect_size=\"31924224\"] \n  12 -> 15 [size =\"31924224\"]\n  12 -> 16 [size =\"31924224\"]\n  12 -> 17 [size =\"31924224\"]\n  13 [size=\"95166464\", alpha=\"0.10\", expect_size=\"47583232\"] \n  13 -> 15 [size =\"47583232\"]\n  13 -> 16 [size =\"47583232\"]\n  13 -> 18 [size =\"47583232\"]\n  14 [size=\"51535872\", alpha=\"0.15\", expect_size=\"25767936\"] \n  14 -> 17 [size =\"25767936\"]\n  15 [size=\"64874496\", alpha=\"0.17\", expect_size=\"32437248\"] \n  15 -> 20 [size =\"32437248\"]\n  16 [size=\"36595712\", alpha=\"0.15\", expect_size=\"18297856\"] \n  16 -> 19 [size =\"18297856\"]\n  16 -> 20 [size =\"18297856\"]\n  17 [size=\"67670016\", alpha=\"0.09\", expect_size=\"33835008\"] \n  17 -> 19 [size =\"33835008\"]\n  18 [size=\"95420416\", alpha=\"0.08\", expect_size=\"47710208\"] \n  18 -> 19 [size =\"47710208\"]\n  19 [size=\"90873856\", alpha=\"0.14\", expect_size=\"45436928\"] \n  20 [size=\"78839808\", alpha=\"0.14\", expect_size=\"39419904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18053120\", alpha=\"0.19\", expect_size=\"7221248\"] \n  1 -> 3 [size =\"7221248\"]\n  2 [size=\"34455040\", alpha=\"0.08\", expect_size=\"13782016\"] \n  2 -> 3 [size =\"13782016\"]\n  3 [size=\"125498880\", alpha=\"0.13\", expect_size=\"50199552\"] \n  3 -> 4 [size =\"50199552\"]\n  3 -> 5 [size =\"50199552\"]\n  4 [size=\"67773440\", alpha=\"0.13\", expect_size=\"27109376\"] \n  5 [size=\"88803840\", alpha=\"0.14\", expect_size=\"35521536\"] \n  5 -> 6 [size =\"35521536\"]\n  6 [size=\"51404800\", alpha=\"0.14\", expect_size=\"20561920\"] \n  6 -> 7 [size =\"20561920\"]\n  6 -> 8 [size =\"20561920\"]\n  7 [size=\"130946560\", alpha=\"0.18\", expect_size=\"52378624\"] \n  7 -> 9 [size =\"52378624\"]\n  7 -> 10 [size =\"52378624\"]\n  8 [size=\"106869760\", alpha=\"0.08\", expect_size=\"42747904\"] \n  9 [size=\"106851840\", alpha=\"0.09\", expect_size=\"42740736\"] \n  9 -> 11 [size =\"42740736\"]\n  9 -> 12 [size =\"42740736\"]\n  10 [size=\"93317120\", alpha=\"0.06\", expect_size=\"37326848\"] \n  10 -> 11 [size =\"37326848\"]\n  10 -> 12 [size =\"37326848\"]\n  11 [size=\"109227520\", alpha=\"0.18\", expect_size=\"43691008\"] \n  11 -> 13 [size =\"43691008\"]\n  12 [size=\"104837120\", alpha=\"0.08\", expect_size=\"41934848\"] \n  12 -> 13 [size =\"41934848\"]\n  13 [size=\"31723520\", alpha=\"0.18\", expect_size=\"12689408\"] \n  13 -> 14 [size =\"12689408\"]\n  13 -> 15 [size =\"12689408\"]\n  14 [size=\"111201280\", alpha=\"0.02\", expect_size=\"44480512\"] \n  14 -> 16 [size =\"44480512\"]\n  14 -> 17 [size =\"44480512\"]\n  15 [size=\"67212800\", alpha=\"0.07\", expect_size=\"26885120\"] \n  15 -> 16 [size =\"26885120\"]\n  16 [size=\"31782400\", alpha=\"0.09\", expect_size=\"12712960\"] \n  16 -> 18 [size =\"12712960\"]\n  17 [size=\"116006400\", alpha=\"0.04\", expect_size=\"46402560\"] \n  17 -> 18 [size =\"46402560\"]\n  17 -> 19 [size =\"46402560\"]\n  18 [size=\"104903680\", alpha=\"0.04\", expect_size=\"41961472\"] \n  18 -> 20 [size =\"41961472\"]\n  19 [size=\"34910720\", alpha=\"0.19\", expect_size=\"13964288\"] \n  20 [size=\"86167040\", alpha=\"0.11\", expect_size=\"34466816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62842880\", alpha=\"0.20\", expect_size=\"25137152\"] \n  1 -> 5 [size =\"25137152\"]\n  2 [size=\"20687360\", alpha=\"0.09\", expect_size=\"8274944\"] \n  2 -> 4 [size =\"8274944\"]\n  3 [size=\"54110720\", alpha=\"0.19\", expect_size=\"21644288\"] \n  3 -> 5 [size =\"21644288\"]\n  4 [size=\"25315840\", alpha=\"0.08\", expect_size=\"10126336\"] \n  4 -> 6 [size =\"10126336\"]\n  4 -> 7 [size =\"10126336\"]\n  4 -> 8 [size =\"10126336\"]\n  5 [size=\"112514560\", alpha=\"0.16\", expect_size=\"45005824\"] \n  5 -> 6 [size =\"45005824\"]\n  5 -> 8 [size =\"45005824\"]\n  6 [size=\"22016000\", alpha=\"0.07\", expect_size=\"8806400\"] \n  6 -> 10 [size =\"8806400\"]\n  6 -> 11 [size =\"8806400\"]\n  6 -> 13 [size =\"8806400\"]\n  7 [size=\"84421120\", alpha=\"0.12\", expect_size=\"33768448\"] \n  7 -> 9 [size =\"33768448\"]\n  7 -> 10 [size =\"33768448\"]\n  7 -> 13 [size =\"33768448\"]\n  8 [size=\"97945600\", alpha=\"0.17\", expect_size=\"39178240\"] \n  8 -> 10 [size =\"39178240\"]\n  8 -> 11 [size =\"39178240\"]\n  8 -> 12 [size =\"39178240\"]\n  9 [size=\"99712000\", alpha=\"0.17\", expect_size=\"39884800\"] \n  9 -> 15 [size =\"39884800\"]\n  9 -> 16 [size =\"39884800\"]\n  10 [size=\"29002240\", alpha=\"0.15\", expect_size=\"11600896\"] \n  10 -> 16 [size =\"11600896\"]\n  10 -> 17 [size =\"11600896\"]\n  11 [size=\"80980480\", alpha=\"0.17\", expect_size=\"32392192\"] \n  11 -> 15 [size =\"32392192\"]\n  11 -> 16 [size =\"32392192\"]\n  11 -> 17 [size =\"32392192\"]\n  12 [size=\"80401920\", alpha=\"0.04\", expect_size=\"32160768\"] \n  12 -> 14 [size =\"32160768\"]\n  13 [size=\"16371200\", alpha=\"0.09\", expect_size=\"6548480\"] \n  13 -> 16 [size =\"6548480\"]\n  13 -> 17 [size =\"6548480\"]\n  14 [size=\"127756800\", alpha=\"0.06\", expect_size=\"51102720\"] \n  14 -> 20 [size =\"51102720\"]\n  15 [size=\"57761280\", alpha=\"0.03\", expect_size=\"23104512\"] \n  15 -> 18 [size =\"23104512\"]\n  16 [size=\"36060160\", alpha=\"0.15\", expect_size=\"14424064\"] \n  17 [size=\"79313920\", alpha=\"0.19\", expect_size=\"31725568\"] \n  17 -> 19 [size =\"31725568\"]\n  17 -> 20 [size =\"31725568\"]\n  18 [size=\"34053120\", alpha=\"0.05\", expect_size=\"13621248\"] \n  19 [size=\"15027200\", alpha=\"0.18\", expect_size=\"6010880\"] \n  20 [size=\"116108800\", alpha=\"0.10\", expect_size=\"46443520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40106667\", alpha=\"0.02\", expect_size=\"12032000\"] \n  1 -> 3 [size =\"12032000\"]\n  1 -> 4 [size =\"12032000\"]\n  2 [size=\"54302720\", alpha=\"0.16\", expect_size=\"16290816\"] \n  2 -> 5 [size =\"16290816\"]\n  3 [size=\"41256960\", alpha=\"0.19\", expect_size=\"12377088\"] \n  4 [size=\"21309440\", alpha=\"0.19\", expect_size=\"6392832\"] \n  4 -> 6 [size =\"6392832\"]\n  4 -> 7 [size =\"6392832\"]\n  5 [size=\"132553387\", alpha=\"0.09\", expect_size=\"39766016\"] \n  5 -> 6 [size =\"39766016\"]\n  6 [size=\"46987947\", alpha=\"0.12\", expect_size=\"14096384\"] \n  6 -> 11 [size =\"14096384\"]\n  7 [size=\"106946560\", alpha=\"0.11\", expect_size=\"32083968\"] \n  7 -> 8 [size =\"32083968\"]\n  7 -> 9 [size =\"32083968\"]\n  7 -> 10 [size =\"32083968\"]\n  8 [size=\"35891200\", alpha=\"0.10\", expect_size=\"10767360\"] \n  8 -> 14 [size =\"10767360\"]\n  8 -> 15 [size =\"10767360\"]\n  9 [size=\"170874880\", alpha=\"0.16\", expect_size=\"51262464\"] \n  9 -> 12 [size =\"51262464\"]\n  10 [size=\"172209493\", alpha=\"0.11\", expect_size=\"51662848\"] \n  10 -> 12 [size =\"51662848\"]\n  11 [size=\"154190507\", alpha=\"0.05\", expect_size=\"46257152\"] \n  11 -> 13 [size =\"46257152\"]\n  11 -> 14 [size =\"46257152\"]\n  11 -> 15 [size =\"46257152\"]\n  12 [size=\"171472213\", alpha=\"0.03\", expect_size=\"51441664\"] \n  12 -> 16 [size =\"51441664\"]\n  13 [size=\"137738240\", alpha=\"0.10\", expect_size=\"41321472\"] \n  13 -> 17 [size =\"41321472\"]\n  13 -> 20 [size =\"41321472\"]\n  14 [size=\"127160320\", alpha=\"0.04\", expect_size=\"38148096\"] \n  14 -> 16 [size =\"38148096\"]\n  14 -> 19 [size =\"38148096\"]\n  14 -> 20 [size =\"38148096\"]\n  15 [size=\"117937493\", alpha=\"0.07\", expect_size=\"35381248\"] \n  15 -> 18 [size =\"35381248\"]\n  15 -> 19 [size =\"35381248\"]\n  16 [size=\"34249387\", alpha=\"0.18\", expect_size=\"10274816\"] \n  17 [size=\"131300693\", alpha=\"0.01\", expect_size=\"39390208\"] \n  18 [size=\"59746987\", alpha=\"0.01\", expect_size=\"17924096\"] \n  19 [size=\"134724267\", alpha=\"0.02\", expect_size=\"40417280\"] \n  20 [size=\"106741760\", alpha=\"0.14\", expect_size=\"32022528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13888000\", alpha=\"0.04\", expect_size=\"5555200\"] \n  1 -> 9 [size =\"5555200\"]\n  1 -> 10 [size =\"5555200\"]\n  1 -> 13 [size =\"5555200\"]\n  2 [size=\"95416320\", alpha=\"0.01\", expect_size=\"38166528\"] \n  3 [size=\"128432640\", alpha=\"0.12\", expect_size=\"51373056\"] \n  4 [size=\"32409600\", alpha=\"0.03\", expect_size=\"12963840\"] \n  4 -> 14 [size =\"12963840\"]\n  5 [size=\"120599040\", alpha=\"0.15\", expect_size=\"48239616\"] \n  5 -> 9 [size =\"48239616\"]\n  6 [size=\"54302720\", alpha=\"0.04\", expect_size=\"21721088\"] \n  6 -> 9 [size =\"21721088\"]\n  6 -> 11 [size =\"21721088\"]\n  6 -> 13 [size =\"21721088\"]\n  7 [size=\"102632960\", alpha=\"0.14\", expect_size=\"41053184\"] \n  7 -> 11 [size =\"41053184\"]\n  7 -> 12 [size =\"41053184\"]\n  8 [size=\"91942400\", alpha=\"0.14\", expect_size=\"36776960\"] \n  8 -> 10 [size =\"36776960\"]\n  8 -> 11 [size =\"36776960\"]\n  8 -> 12 [size =\"36776960\"]\n  8 -> 13 [size =\"36776960\"]\n  9 [size=\"18874880\", alpha=\"0.15\", expect_size=\"7549952\"] \n  9 -> 16 [size =\"7549952\"]\n  9 -> 18 [size =\"7549952\"]\n  10 [size=\"15943680\", alpha=\"0.19\", expect_size=\"6377472\"] \n  10 -> 15 [size =\"6377472\"]\n  10 -> 17 [size =\"6377472\"]\n  10 -> 20 [size =\"6377472\"]\n  11 [size=\"130667520\", alpha=\"0.10\", expect_size=\"52267008\"] \n  11 -> 15 [size =\"52267008\"]\n  11 -> 16 [size =\"52267008\"]\n  11 -> 19 [size =\"52267008\"]\n  11 -> 20 [size =\"52267008\"]\n  12 [size=\"34106880\", alpha=\"0.16\", expect_size=\"13642752\"] \n  12 -> 20 [size =\"13642752\"]\n  13 [size=\"42270720\", alpha=\"0.18\", expect_size=\"16908288\"] \n  13 -> 15 [size =\"16908288\"]\n  13 -> 19 [size =\"16908288\"]\n  14 [size=\"114327040\", alpha=\"0.01\", expect_size=\"45730816\"] \n  14 -> 19 [size =\"45730816\"]\n  14 -> 19 [size =\"45730816\"]\n  15 [size=\"15779840\", alpha=\"0.05\", expect_size=\"6311936\"] \n  16 [size=\"105684480\", alpha=\"0.08\", expect_size=\"42273792\"] \n  17 [size=\"129192960\", alpha=\"0.15\", expect_size=\"51677184\"] \n  18 [size=\"96337920\", alpha=\"0.08\", expect_size=\"38535168\"] \n  19 [size=\"63226880\", alpha=\"0.17\", expect_size=\"25290752\"] \n  20 [size=\"32350720\", alpha=\"0.17\", expect_size=\"12940288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84615680\", alpha=\"0.17\", expect_size=\"33846272\"] \n  1 -> 14 [size =\"33846272\"]\n  2 [size=\"48427520\", alpha=\"0.18\", expect_size=\"19371008\"] \n  2 -> 13 [size =\"19371008\"]\n  3 [size=\"60270080\", alpha=\"0.09\", expect_size=\"24108032\"] \n  3 -> 11 [size =\"24108032\"]\n  3 -> 13 [size =\"24108032\"]\n  4 [size=\"65280000\", alpha=\"0.19\", expect_size=\"26112000\"] \n  4 -> 11 [size =\"26112000\"]\n  5 [size=\"22842880\", alpha=\"0.12\", expect_size=\"9137152\"] \n  5 -> 11 [size =\"9137152\"]\n  5 -> 12 [size =\"9137152\"]\n  5 -> 14 [size =\"9137152\"]\n  6 [size=\"69831680\", alpha=\"0.06\", expect_size=\"27932672\"] \n  6 -> 14 [size =\"27932672\"]\n  6 -> 15 [size =\"27932672\"]\n  7 [size=\"64368640\", alpha=\"0.00\", expect_size=\"25747456\"] \n  7 -> 12 [size =\"25747456\"]\n  7 -> 14 [size =\"25747456\"]\n  8 [size=\"84776960\", alpha=\"0.00\", expect_size=\"33910784\"] \n  9 [size=\"32765440\", alpha=\"0.14\", expect_size=\"13106176\"] \n  9 -> 11 [size =\"13106176\"]\n  9 -> 14 [size =\"13106176\"]\n  10 [size=\"125027840\", alpha=\"0.16\", expect_size=\"50011136\"] \n  10 -> 11 [size =\"50011136\"]\n  10 -> 12 [size =\"50011136\"]\n  11 [size=\"31759360\", alpha=\"0.13\", expect_size=\"12703744\"] \n  11 -> 19 [size =\"12703744\"]\n  12 [size=\"15726080\", alpha=\"0.17\", expect_size=\"6290432\"] \n  13 [size=\"122035200\", alpha=\"0.19\", expect_size=\"48814080\"] \n  13 -> 19 [size =\"48814080\"]\n  14 [size=\"57272320\", alpha=\"0.08\", expect_size=\"22908928\"] \n  14 -> 16 [size =\"22908928\"]\n  14 -> 17 [size =\"22908928\"]\n  14 -> 19 [size =\"22908928\"]\n  15 [size=\"50216960\", alpha=\"0.07\", expect_size=\"20086784\"] \n  15 -> 17 [size =\"20086784\"]\n  15 -> 18 [size =\"20086784\"]\n  16 [size=\"122647040\", alpha=\"0.09\", expect_size=\"49058816\"] \n  16 -> 20 [size =\"49058816\"]\n  17 [size=\"39040000\", alpha=\"0.16\", expect_size=\"15616000\"] \n  18 [size=\"41671680\", alpha=\"0.16\", expect_size=\"16668672\"] \n  19 [size=\"41825280\", alpha=\"0.18\", expect_size=\"16730112\"] \n  19 -> 20 [size =\"16730112\"]\n  20 [size=\"124328960\", alpha=\"0.03\", expect_size=\"49731584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94169088\", alpha=\"0.03\", expect_size=\"47084544\"] \n  1 -> 2 [size =\"47084544\"]\n  2 [size=\"34863104\", alpha=\"0.09\", expect_size=\"17431552\"] \n  2 -> 3 [size =\"17431552\"]\n  3 [size=\"88338432\", alpha=\"0.11\", expect_size=\"44169216\"] \n  3 -> 4 [size =\"44169216\"]\n  4 [size=\"101799936\", alpha=\"0.01\", expect_size=\"50899968\"] \n  4 -> 5 [size =\"50899968\"]\n  5 [size=\"18847744\", alpha=\"0.19\", expect_size=\"9423872\"] \n  5 -> 6 [size =\"9423872\"]\n  6 [size=\"14309376\", alpha=\"0.06\", expect_size=\"7154688\"] \n  6 -> 7 [size =\"7154688\"]\n  7 [size=\"53080064\", alpha=\"0.10\", expect_size=\"26540032\"] \n  7 -> 8 [size =\"26540032\"]\n  7 -> 9 [size =\"26540032\"]\n  8 [size=\"91656192\", alpha=\"0.19\", expect_size=\"45828096\"] \n  8 -> 10 [size =\"45828096\"]\n  8 -> 11 [size =\"45828096\"]\n  9 [size=\"61960192\", alpha=\"0.12\", expect_size=\"30980096\"] \n  9 -> 10 [size =\"30980096\"]\n  10 [size=\"102488064\", alpha=\"0.05\", expect_size=\"51244032\"] \n  10 -> 12 [size =\"51244032\"]\n  10 -> 13 [size =\"51244032\"]\n  11 [size=\"64684032\", alpha=\"0.11\", expect_size=\"32342016\"] \n  11 -> 12 [size =\"32342016\"]\n  11 -> 13 [size =\"32342016\"]\n  12 [size=\"76937216\", alpha=\"0.15\", expect_size=\"38468608\"] \n  12 -> 14 [size =\"38468608\"]\n  13 [size=\"26892288\", alpha=\"0.09\", expect_size=\"13446144\"] \n  13 -> 14 [size =\"13446144\"]\n  14 [size=\"78542848\", alpha=\"0.14\", expect_size=\"39271424\"] \n  14 -> 15 [size =\"39271424\"]\n  14 -> 16 [size =\"39271424\"]\n  15 [size=\"83347456\", alpha=\"0.15\", expect_size=\"41673728\"] \n  15 -> 17 [size =\"41673728\"]\n  15 -> 18 [size =\"41673728\"]\n  16 [size=\"78721024\", alpha=\"0.06\", expect_size=\"39360512\"] \n  16 -> 17 [size =\"39360512\"]\n  16 -> 18 [size =\"39360512\"]\n  17 [size=\"13563904\", alpha=\"0.18\", expect_size=\"6781952\"] \n  17 -> 20 [size =\"6781952\"]\n  18 [size=\"58933248\", alpha=\"0.19\", expect_size=\"29466624\"] \n  18 -> 19 [size =\"29466624\"]\n  18 -> 20 [size =\"29466624\"]\n  19 [size=\"52279296\", alpha=\"0.12\", expect_size=\"26139648\"] \n  20 [size=\"13246464\", alpha=\"0.18\", expect_size=\"6623232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102479872\", alpha=\"0.19\", expect_size=\"51239936\"] \n  1 -> 2 [size =\"51239936\"]\n  2 [size=\"30830592\", alpha=\"0.10\", expect_size=\"15415296\"] \n  2 -> 3 [size =\"15415296\"]\n  3 [size=\"11864064\", alpha=\"0.13\", expect_size=\"5932032\"] \n  3 -> 4 [size =\"5932032\"]\n  4 [size=\"27047936\", alpha=\"0.14\", expect_size=\"13523968\"] \n  4 -> 5 [size =\"13523968\"]\n  5 [size=\"96692224\", alpha=\"0.01\", expect_size=\"48346112\"] \n  5 -> 6 [size =\"48346112\"]\n  6 [size=\"75747328\", alpha=\"0.04\", expect_size=\"37873664\"] \n  6 -> 7 [size =\"37873664\"]\n  7 [size=\"54693888\", alpha=\"0.11\", expect_size=\"27346944\"] \n  7 -> 8 [size =\"27346944\"]\n  8 [size=\"50010112\", alpha=\"0.00\", expect_size=\"25005056\"] \n  8 -> 9 [size =\"25005056\"]\n  9 [size=\"69400576\", alpha=\"0.05\", expect_size=\"34700288\"] \n  9 -> 10 [size =\"34700288\"]\n  10 [size=\"21866496\", alpha=\"0.17\", expect_size=\"10933248\"] \n  10 -> 11 [size =\"10933248\"]\n  11 [size=\"97140736\", alpha=\"0.13\", expect_size=\"48570368\"] \n  11 -> 12 [size =\"48570368\"]\n  12 [size=\"93214720\", alpha=\"0.17\", expect_size=\"46607360\"] \n  12 -> 13 [size =\"46607360\"]\n  13 [size=\"47591424\", alpha=\"0.17\", expect_size=\"23795712\"] \n  13 -> 14 [size =\"23795712\"]\n  14 [size=\"14088192\", alpha=\"0.13\", expect_size=\"7044096\"] \n  14 -> 15 [size =\"7044096\"]\n  15 [size=\"82296832\", alpha=\"0.11\", expect_size=\"41148416\"] \n  15 -> 16 [size =\"41148416\"]\n  16 [size=\"85794816\", alpha=\"0.18\", expect_size=\"42897408\"] \n  16 -> 17 [size =\"42897408\"]\n  17 [size=\"11380736\", alpha=\"0.00\", expect_size=\"5690368\"] \n  17 -> 18 [size =\"5690368\"]\n  18 [size=\"62545920\", alpha=\"0.11\", expect_size=\"31272960\"] \n  18 -> 19 [size =\"31272960\"]\n  19 [size=\"63188992\", alpha=\"0.19\", expect_size=\"31594496\"] \n  19 -> 20 [size =\"31594496\"]\n  20 [size=\"87101440\", alpha=\"0.02\", expect_size=\"43550720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158208000\", alpha=\"0.17\", expect_size=\"47462400\"] \n  1 -> 4 [size =\"47462400\"]\n  1 -> 6 [size =\"47462400\"]\n  1 -> 7 [size =\"47462400\"]\n  2 [size=\"174458880\", alpha=\"0.15\", expect_size=\"52337664\"] \n  2 -> 7 [size =\"52337664\"]\n  3 [size=\"59170133\", alpha=\"0.17\", expect_size=\"17751040\"] \n  3 -> 5 [size =\"17751040\"]\n  4 [size=\"43185493\", alpha=\"0.16\", expect_size=\"12955648\"] \n  4 -> 8 [size =\"12955648\"]\n  4 -> 10 [size =\"12955648\"]\n  5 [size=\"91972267\", alpha=\"0.02\", expect_size=\"27591680\"] \n  5 -> 8 [size =\"27591680\"]\n  5 -> 9 [size =\"27591680\"]\n  5 -> 10 [size =\"27591680\"]\n  5 -> 11 [size =\"27591680\"]\n  6 [size=\"85012480\", alpha=\"0.09\", expect_size=\"25503744\"] \n  7 [size=\"118063787\", alpha=\"0.19\", expect_size=\"35419136\"] \n  7 -> 10 [size =\"35419136\"]\n  7 -> 11 [size =\"35419136\"]\n  8 [size=\"77489493\", alpha=\"0.16\", expect_size=\"23246848\"] \n  8 -> 12 [size =\"23246848\"]\n  8 -> 15 [size =\"23246848\"]\n  8 -> 16 [size =\"23246848\"]\n  9 [size=\"21425493\", alpha=\"0.07\", expect_size=\"6427648\"] \n  9 -> 13 [size =\"6427648\"]\n  9 -> 14 [size =\"6427648\"]\n  9 -> 15 [size =\"6427648\"]\n  9 -> 16 [size =\"6427648\"]\n  10 [size=\"136686933\", alpha=\"0.10\", expect_size=\"41006080\"] \n  10 -> 13 [size =\"41006080\"]\n  11 [size=\"116787200\", alpha=\"0.18\", expect_size=\"35036160\"] \n  11 -> 12 [size =\"35036160\"]\n  11 -> 13 [size =\"35036160\"]\n  11 -> 14 [size =\"35036160\"]\n  12 [size=\"94795093\", alpha=\"0.17\", expect_size=\"28438528\"] \n  13 [size=\"54497280\", alpha=\"0.13\", expect_size=\"16349184\"] \n  14 [size=\"32286720\", alpha=\"0.10\", expect_size=\"9686016\"] \n  14 -> 17 [size =\"9686016\"]\n  14 -> 18 [size =\"9686016\"]\n  15 [size=\"161566720\", alpha=\"0.03\", expect_size=\"48470016\"] \n  16 [size=\"23466667\", alpha=\"0.00\", expect_size=\"7040000\"] \n  17 [size=\"95941973\", alpha=\"0.20\", expect_size=\"28782592\"] \n  17 -> 19 [size =\"28782592\"]\n  17 -> 20 [size =\"28782592\"]\n  18 [size=\"86135467\", alpha=\"0.06\", expect_size=\"25840640\"] \n  18 -> 20 [size =\"25840640\"]\n  19 [size=\"55814827\", alpha=\"0.19\", expect_size=\"16744448\"] \n  20 [size=\"114302293\", alpha=\"0.10\", expect_size=\"34290688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43448320\", alpha=\"0.05\", expect_size=\"17379328\"] \n  1 -> 2 [size =\"17379328\"]\n  2 [size=\"35724800\", alpha=\"0.18\", expect_size=\"14289920\"] \n  2 -> 3 [size =\"14289920\"]\n  3 [size=\"53660160\", alpha=\"0.00\", expect_size=\"21464064\"] \n  3 -> 4 [size =\"21464064\"]\n  4 [size=\"121518080\", alpha=\"0.00\", expect_size=\"48607232\"] \n  4 -> 5 [size =\"48607232\"]\n  5 [size=\"108293120\", alpha=\"0.02\", expect_size=\"43317248\"] \n  5 -> 6 [size =\"43317248\"]\n  6 [size=\"50636800\", alpha=\"0.04\", expect_size=\"20254720\"] \n  6 -> 7 [size =\"20254720\"]\n  7 [size=\"104120320\", alpha=\"0.08\", expect_size=\"41648128\"] \n  7 -> 8 [size =\"41648128\"]\n  8 [size=\"43228160\", alpha=\"0.19\", expect_size=\"17291264\"] \n  8 -> 9 [size =\"17291264\"]\n  9 [size=\"91256320\", alpha=\"0.10\", expect_size=\"36502528\"] \n  9 -> 10 [size =\"36502528\"]\n  10 [size=\"116748800\", alpha=\"0.07\", expect_size=\"46699520\"] \n  10 -> 11 [size =\"46699520\"]\n  11 [size=\"109304320\", alpha=\"0.18\", expect_size=\"43721728\"] \n  11 -> 12 [size =\"43721728\"]\n  12 [size=\"21987840\", alpha=\"0.10\", expect_size=\"8795136\"] \n  12 -> 13 [size =\"8795136\"]\n  13 [size=\"130726400\", alpha=\"0.15\", expect_size=\"52290560\"] \n  13 -> 14 [size =\"52290560\"]\n  14 [size=\"130787840\", alpha=\"0.20\", expect_size=\"52315136\"] \n  14 -> 15 [size =\"52315136\"]\n  15 [size=\"13829120\", alpha=\"0.01\", expect_size=\"5531648\"] \n  15 -> 16 [size =\"5531648\"]\n  16 [size=\"25551360\", alpha=\"0.19\", expect_size=\"10220544\"] \n  16 -> 17 [size =\"10220544\"]\n  17 [size=\"50703360\", alpha=\"0.16\", expect_size=\"20281344\"] \n  17 -> 18 [size =\"20281344\"]\n  18 [size=\"95185920\", alpha=\"0.15\", expect_size=\"38074368\"] \n  18 -> 19 [size =\"38074368\"]\n  19 [size=\"88158720\", alpha=\"0.10\", expect_size=\"35263488\"] \n  19 -> 20 [size =\"35263488\"]\n  20 [size=\"31288320\", alpha=\"0.02\", expect_size=\"12515328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51433472\", alpha=\"0.07\", expect_size=\"25716736\"] \n  1 -> 11 [size =\"25716736\"]\n  1 -> 12 [size =\"25716736\"]\n  1 -> 14 [size =\"25716736\"]\n  1 -> 16 [size =\"25716736\"]\n  1 -> 17 [size =\"25716736\"]\n  1 -> 18 [size =\"25716736\"]\n  2 [size=\"33636352\", alpha=\"0.01\", expect_size=\"16818176\"] \n  2 -> 11 [size =\"16818176\"]\n  2 -> 14 [size =\"16818176\"]\n  2 -> 15 [size =\"16818176\"]\n  2 -> 17 [size =\"16818176\"]\n  2 -> 18 [size =\"16818176\"]\n  2 -> 20 [size =\"16818176\"]\n  3 [size=\"16930816\", alpha=\"0.10\", expect_size=\"8465408\"] \n  3 -> 11 [size =\"8465408\"]\n  3 -> 17 [size =\"8465408\"]\n  4 [size=\"93034496\", alpha=\"0.20\", expect_size=\"46517248\"] \n  4 -> 11 [size =\"46517248\"]\n  4 -> 12 [size =\"46517248\"]\n  4 -> 18 [size =\"46517248\"]\n  4 -> 19 [size =\"46517248\"]\n  5 [size=\"86468608\", alpha=\"0.11\", expect_size=\"43234304\"] \n  5 -> 11 [size =\"43234304\"]\n  5 -> 13 [size =\"43234304\"]\n  5 -> 14 [size =\"43234304\"]\n  6 [size=\"91158528\", alpha=\"0.05\", expect_size=\"45579264\"] \n  6 -> 13 [size =\"45579264\"]\n  6 -> 14 [size =\"45579264\"]\n  6 -> 15 [size =\"45579264\"]\n  7 [size=\"93755392\", alpha=\"0.13\", expect_size=\"46877696\"] \n  7 -> 13 [size =\"46877696\"]\n  7 -> 15 [size =\"46877696\"]\n  7 -> 18 [size =\"46877696\"]\n  8 [size=\"49213440\", alpha=\"0.17\", expect_size=\"24606720\"] \n  8 -> 14 [size =\"24606720\"]\n  8 -> 15 [size =\"24606720\"]\n  8 -> 16 [size =\"24606720\"]\n  8 -> 17 [size =\"24606720\"]\n  8 -> 20 [size =\"24606720\"]\n  9 [size=\"79831040\", alpha=\"0.13\", expect_size=\"39915520\"] \n  9 -> 12 [size =\"39915520\"]\n  9 -> 15 [size =\"39915520\"]\n  9 -> 16 [size =\"39915520\"]\n  9 -> 20 [size =\"39915520\"]\n  10 [size=\"58836992\", alpha=\"0.17\", expect_size=\"29418496\"] \n  10 -> 13 [size =\"29418496\"]\n  10 -> 16 [size =\"29418496\"]\n  10 -> 20 [size =\"29418496\"]\n  11 [size=\"31188992\", alpha=\"0.02\", expect_size=\"15594496\"] \n  12 [size=\"66191360\", alpha=\"0.08\", expect_size=\"33095680\"] \n  13 [size=\"69347328\", alpha=\"0.15\", expect_size=\"34673664\"] \n  14 [size=\"21295104\", alpha=\"0.02\", expect_size=\"10647552\"] \n  15 [size=\"20965376\", alpha=\"0.02\", expect_size=\"10482688\"] \n  16 [size=\"74049536\", alpha=\"0.16\", expect_size=\"37024768\"] \n  17 [size=\"96759808\", alpha=\"0.09\", expect_size=\"48379904\"] \n  18 [size=\"62963712\", alpha=\"0.19\", expect_size=\"31481856\"] \n  19 [size=\"49049600\", alpha=\"0.02\", expect_size=\"24524800\"] \n  20 [size=\"16269312\", alpha=\"0.00\", expect_size=\"8134656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92768256\", alpha=\"0.14\", expect_size=\"46384128\"] \n  2 [size=\"63225856\", alpha=\"0.14\", expect_size=\"31612928\"] \n  2 -> 10 [size =\"31612928\"]\n  3 [size=\"10850304\", alpha=\"0.14\", expect_size=\"5425152\"] \n  3 -> 8 [size =\"5425152\"]\n  4 [size=\"73762816\", alpha=\"0.06\", expect_size=\"36881408\"] \n  4 -> 10 [size =\"36881408\"]\n  5 [size=\"49991680\", alpha=\"0.08\", expect_size=\"24995840\"] \n  5 -> 11 [size =\"24995840\"]\n  6 [size=\"69963776\", alpha=\"0.11\", expect_size=\"34981888\"] \n  6 -> 8 [size =\"34981888\"]\n  7 [size=\"81451008\", alpha=\"0.04\", expect_size=\"40725504\"] \n  7 -> 8 [size =\"40725504\"]\n  7 -> 9 [size =\"40725504\"]\n  7 -> 12 [size =\"40725504\"]\n  8 [size=\"59000832\", alpha=\"0.04\", expect_size=\"29500416\"] \n  8 -> 13 [size =\"29500416\"]\n  8 -> 14 [size =\"29500416\"]\n  8 -> 15 [size =\"29500416\"]\n  9 [size=\"15312896\", alpha=\"0.14\", expect_size=\"7656448\"] \n  9 -> 13 [size =\"7656448\"]\n  9 -> 14 [size =\"7656448\"]\n  10 [size=\"30986240\", alpha=\"0.14\", expect_size=\"15493120\"] \n  10 -> 16 [size =\"15493120\"]\n  10 -> 18 [size =\"15493120\"]\n  11 [size=\"82669568\", alpha=\"0.19\", expect_size=\"41334784\"] \n  11 -> 13 [size =\"41334784\"]\n  11 -> 14 [size =\"41334784\"]\n  11 -> 17 [size =\"41334784\"]\n  11 -> 18 [size =\"41334784\"]\n  11 -> 19 [size =\"41334784\"]\n  12 [size=\"54081536\", alpha=\"0.12\", expect_size=\"27040768\"] \n  12 -> 15 [size =\"27040768\"]\n  12 -> 17 [size =\"27040768\"]\n  12 -> 19 [size =\"27040768\"]\n  12 -> 20 [size =\"27040768\"]\n  13 [size=\"24956928\", alpha=\"0.12\", expect_size=\"12478464\"] \n  14 [size=\"92237824\", alpha=\"0.05\", expect_size=\"46118912\"] \n  15 [size=\"26697728\", alpha=\"0.04\", expect_size=\"13348864\"] \n  16 [size=\"64804864\", alpha=\"0.05\", expect_size=\"32402432\"] \n  17 [size=\"22464512\", alpha=\"0.17\", expect_size=\"11232256\"] \n  18 [size=\"39581696\", alpha=\"0.14\", expect_size=\"19790848\"] \n  19 [size=\"57362432\", alpha=\"0.11\", expect_size=\"28681216\"] \n  20 [size=\"27199488\", alpha=\"0.17\", expect_size=\"13599744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89994240\", alpha=\"0.02\", expect_size=\"35997696\"] \n  1 -> 16 [size =\"35997696\"]\n  2 [size=\"88307200\", alpha=\"0.04\", expect_size=\"35322880\"] \n  3 [size=\"107599360\", alpha=\"0.01\", expect_size=\"43039744\"] \n  3 -> 17 [size =\"43039744\"]\n  4 [size=\"76254720\", alpha=\"0.04\", expect_size=\"30501888\"] \n  4 -> 16 [size =\"30501888\"]\n  4 -> 17 [size =\"30501888\"]\n  5 [size=\"105973760\", alpha=\"0.16\", expect_size=\"42389504\"] \n  5 -> 16 [size =\"42389504\"]\n  5 -> 18 [size =\"42389504\"]\n  5 -> 19 [size =\"42389504\"]\n  5 -> 20 [size =\"42389504\"]\n  6 [size=\"122900480\", alpha=\"0.08\", expect_size=\"49160192\"] \n  6 -> 16 [size =\"49160192\"]\n  6 -> 18 [size =\"49160192\"]\n  7 [size=\"36034560\", alpha=\"0.19\", expect_size=\"14413824\"] \n  7 -> 18 [size =\"14413824\"]\n  8 [size=\"62858240\", alpha=\"0.16\", expect_size=\"25143296\"] \n  9 [size=\"84579840\", alpha=\"0.11\", expect_size=\"33831936\"] \n  9 -> 17 [size =\"33831936\"]\n  9 -> 19 [size =\"33831936\"]\n  10 [size=\"108147200\", alpha=\"0.04\", expect_size=\"43258880\"] \n  10 -> 18 [size =\"43258880\"]\n  10 -> 19 [size =\"43258880\"]\n  11 [size=\"33387520\", alpha=\"0.14\", expect_size=\"13355008\"] \n  12 [size=\"46963200\", alpha=\"0.10\", expect_size=\"18785280\"] \n  12 -> 17 [size =\"18785280\"]\n  12 -> 20 [size =\"18785280\"]\n  13 [size=\"73256960\", alpha=\"0.13\", expect_size=\"29302784\"] \n  13 -> 18 [size =\"29302784\"]\n  13 -> 19 [size =\"29302784\"]\n  13 -> 20 [size =\"29302784\"]\n  14 [size=\"77928960\", alpha=\"0.13\", expect_size=\"31171584\"] \n  14 -> 19 [size =\"31171584\"]\n  15 [size=\"103444480\", alpha=\"0.19\", expect_size=\"41377792\"] \n  15 -> 17 [size =\"41377792\"]\n  15 -> 19 [size =\"41377792\"]\n  16 [size=\"80291840\", alpha=\"0.10\", expect_size=\"32116736\"] \n  17 [size=\"128104960\", alpha=\"0.07\", expect_size=\"51241984\"] \n  18 [size=\"124958720\", alpha=\"0.06\", expect_size=\"49983488\"] \n  19 [size=\"100587520\", alpha=\"0.05\", expect_size=\"40235008\"] \n  20 [size=\"47549440\", alpha=\"0.04\", expect_size=\"19019776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81538560\", alpha=\"0.06\", expect_size=\"32615424\"] \n  1 -> 5 [size =\"32615424\"]\n  1 -> 6 [size =\"32615424\"]\n  1 -> 7 [size =\"32615424\"]\n  1 -> 8 [size =\"32615424\"]\n  2 [size=\"61829120\", alpha=\"0.01\", expect_size=\"24731648\"] \n  2 -> 5 [size =\"24731648\"]\n  2 -> 7 [size =\"24731648\"]\n  3 [size=\"55595520\", alpha=\"0.06\", expect_size=\"22238208\"] \n  3 -> 5 [size =\"22238208\"]\n  3 -> 7 [size =\"22238208\"]\n  4 [size=\"104125440\", alpha=\"0.03\", expect_size=\"41650176\"] \n  4 -> 5 [size =\"41650176\"]\n  4 -> 6 [size =\"41650176\"]\n  4 -> 7 [size =\"41650176\"]\n  5 [size=\"67427840\", alpha=\"0.05\", expect_size=\"26971136\"] \n  5 -> 9 [size =\"26971136\"]\n  5 -> 11 [size =\"26971136\"]\n  5 -> 12 [size =\"26971136\"]\n  6 [size=\"53260800\", alpha=\"0.08\", expect_size=\"21304320\"] \n  6 -> 9 [size =\"21304320\"]\n  6 -> 10 [size =\"21304320\"]\n  7 [size=\"91607040\", alpha=\"0.15\", expect_size=\"36642816\"] \n  7 -> 10 [size =\"36642816\"]\n  7 -> 11 [size =\"36642816\"]\n  8 [size=\"16304640\", alpha=\"0.15\", expect_size=\"6521856\"] \n  8 -> 10 [size =\"6521856\"]\n  8 -> 11 [size =\"6521856\"]\n  8 -> 12 [size =\"6521856\"]\n  9 [size=\"123448320\", alpha=\"0.12\", expect_size=\"49379328\"] \n  9 -> 13 [size =\"49379328\"]\n  9 -> 14 [size =\"49379328\"]\n  10 [size=\"87219200\", alpha=\"0.15\", expect_size=\"34887680\"] \n  10 -> 14 [size =\"34887680\"]\n  11 [size=\"85312000\", alpha=\"0.05\", expect_size=\"34124800\"] \n  11 -> 13 [size =\"34124800\"]\n  11 -> 14 [size =\"34124800\"]\n  11 -> 15 [size =\"34124800\"]\n  12 [size=\"122347520\", alpha=\"0.12\", expect_size=\"48939008\"] \n  12 -> 13 [size =\"48939008\"]\n  13 [size=\"129415680\", alpha=\"0.08\", expect_size=\"51766272\"] \n  13 -> 16 [size =\"51766272\"]\n  13 -> 17 [size =\"51766272\"]\n  13 -> 18 [size =\"51766272\"]\n  13 -> 19 [size =\"51766272\"]\n  14 [size=\"49408000\", alpha=\"0.13\", expect_size=\"19763200\"] \n  14 -> 17 [size =\"19763200\"]\n  14 -> 18 [size =\"19763200\"]\n  14 -> 19 [size =\"19763200\"]\n  14 -> 20 [size =\"19763200\"]\n  15 [size=\"69409280\", alpha=\"0.01\", expect_size=\"27763712\"] \n  15 -> 16 [size =\"27763712\"]\n  15 -> 17 [size =\"27763712\"]\n  15 -> 18 [size =\"27763712\"]\n  15 -> 19 [size =\"27763712\"]\n  15 -> 20 [size =\"27763712\"]\n  16 [size=\"96834560\", alpha=\"0.00\", expect_size=\"38733824\"] \n  17 [size=\"24117760\", alpha=\"0.19\", expect_size=\"9647104\"] \n  18 [size=\"113530880\", alpha=\"0.06\", expect_size=\"45412352\"] \n  19 [size=\"83223040\", alpha=\"0.19\", expect_size=\"33289216\"] \n  20 [size=\"38248960\", alpha=\"0.08\", expect_size=\"15299584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33789440\", alpha=\"0.20\", expect_size=\"13515776\"] \n  1 -> 2 [size =\"13515776\"]\n  1 -> 3 [size =\"13515776\"]\n  2 [size=\"106088960\", alpha=\"0.10\", expect_size=\"42435584\"] \n  2 -> 4 [size =\"42435584\"]\n  2 -> 5 [size =\"42435584\"]\n  3 [size=\"22028800\", alpha=\"0.18\", expect_size=\"8811520\"] \n  3 -> 4 [size =\"8811520\"]\n  3 -> 5 [size =\"8811520\"]\n  4 [size=\"118031360\", alpha=\"0.19\", expect_size=\"47212544\"] \n  4 -> 6 [size =\"47212544\"]\n  5 [size=\"98191360\", alpha=\"0.01\", expect_size=\"39276544\"] \n  5 -> 6 [size =\"39276544\"]\n  6 [size=\"61434880\", alpha=\"0.12\", expect_size=\"24573952\"] \n  6 -> 7 [size =\"24573952\"]\n  7 [size=\"45209600\", alpha=\"0.19\", expect_size=\"18083840\"] \n  7 -> 8 [size =\"18083840\"]\n  8 [size=\"47669760\", alpha=\"0.07\", expect_size=\"19067904\"] \n  8 -> 9 [size =\"19067904\"]\n  9 [size=\"109383680\", alpha=\"0.08\", expect_size=\"43753472\"] \n  9 -> 10 [size =\"43753472\"]\n  10 [size=\"72007680\", alpha=\"0.17\", expect_size=\"28803072\"] \n  10 -> 11 [size =\"28803072\"]\n  10 -> 12 [size =\"28803072\"]\n  11 [size=\"101985280\", alpha=\"0.18\", expect_size=\"40794112\"] \n  11 -> 13 [size =\"40794112\"]\n  12 [size=\"100636160\", alpha=\"0.19\", expect_size=\"40254464\"] \n  12 -> 13 [size =\"40254464\"]\n  13 [size=\"39882240\", alpha=\"0.05\", expect_size=\"15952896\"] \n  13 -> 14 [size =\"15952896\"]\n  14 [size=\"29035520\", alpha=\"0.09\", expect_size=\"11614208\"] \n  14 -> 15 [size =\"11614208\"]\n  14 -> 16 [size =\"11614208\"]\n  15 [size=\"22850560\", alpha=\"0.08\", expect_size=\"9140224\"] \n  15 -> 17 [size =\"9140224\"]\n  15 -> 18 [size =\"9140224\"]\n  16 [size=\"30492160\", alpha=\"0.08\", expect_size=\"12196864\"] \n  16 -> 17 [size =\"12196864\"]\n  16 -> 18 [size =\"12196864\"]\n  17 [size=\"99476480\", alpha=\"0.15\", expect_size=\"39790592\"] \n  17 -> 19 [size =\"39790592\"]\n  18 [size=\"92154880\", alpha=\"0.05\", expect_size=\"36861952\"] \n  19 [size=\"14699520\", alpha=\"0.16\", expect_size=\"5879808\"] \n  19 -> 20 [size =\"5879808\"]\n  20 [size=\"64721920\", alpha=\"0.19\", expect_size=\"25888768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67981312\", alpha=\"0.20\", expect_size=\"33990656\"] \n  2 [size=\"21477376\", alpha=\"0.16\", expect_size=\"10738688\"] \n  2 -> 3 [size =\"10738688\"]\n  3 [size=\"77639680\", alpha=\"0.06\", expect_size=\"38819840\"] \n  3 -> 4 [size =\"38819840\"]\n  4 [size=\"88500224\", alpha=\"0.00\", expect_size=\"44250112\"] \n  4 -> 5 [size =\"44250112\"]\n  5 [size=\"76263424\", alpha=\"0.12\", expect_size=\"38131712\"] \n  5 -> 6 [size =\"38131712\"]\n  6 [size=\"99840000\", alpha=\"0.03\", expect_size=\"49920000\"] \n  6 -> 7 [size =\"49920000\"]\n  7 [size=\"13479936\", alpha=\"0.08\", expect_size=\"6739968\"] \n  7 -> 8 [size =\"6739968\"]\n  7 -> 9 [size =\"6739968\"]\n  8 [size=\"24463360\", alpha=\"0.03\", expect_size=\"12231680\"] \n  8 -> 11 [size =\"12231680\"]\n  9 [size=\"13709312\", alpha=\"0.14\", expect_size=\"6854656\"] \n  9 -> 10 [size =\"6854656\"]\n  10 [size=\"28344320\", alpha=\"0.14\", expect_size=\"14172160\"] \n  10 -> 12 [size =\"14172160\"]\n  11 [size=\"75315200\", alpha=\"0.07\", expect_size=\"37657600\"] \n  12 [size=\"73865216\", alpha=\"0.01\", expect_size=\"36932608\"] \n  12 -> 13 [size =\"36932608\"]\n  12 -> 14 [size =\"36932608\"]\n  13 [size=\"55656448\", alpha=\"0.18\", expect_size=\"27828224\"] \n  14 [size=\"81917952\", alpha=\"0.04\", expect_size=\"40958976\"] \n  14 -> 15 [size =\"40958976\"]\n  15 [size=\"82055168\", alpha=\"0.03\", expect_size=\"41027584\"] \n  15 -> 16 [size =\"41027584\"]\n  15 -> 17 [size =\"41027584\"]\n  16 [size=\"44107776\", alpha=\"0.19\", expect_size=\"22053888\"] \n  16 -> 18 [size =\"22053888\"]\n  16 -> 19 [size =\"22053888\"]\n  17 [size=\"60223488\", alpha=\"0.18\", expect_size=\"30111744\"] \n  17 -> 18 [size =\"30111744\"]\n  17 -> 19 [size =\"30111744\"]\n  18 [size=\"99854336\", alpha=\"0.01\", expect_size=\"49927168\"] \n  18 -> 20 [size =\"49927168\"]\n  19 [size=\"19341312\", alpha=\"0.09\", expect_size=\"9670656\"] \n  20 [size=\"87230464\", alpha=\"0.11\", expect_size=\"43615232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39417173\", alpha=\"0.14\", expect_size=\"11825152\"] \n  1 -> 2 [size =\"11825152\"]\n  2 [size=\"42963627\", alpha=\"0.04\", expect_size=\"12889088\"] \n  2 -> 3 [size =\"12889088\"]\n  3 [size=\"77441707\", alpha=\"0.13\", expect_size=\"23232512\"] \n  3 -> 4 [size =\"23232512\"]\n  4 [size=\"50411520\", alpha=\"0.09\", expect_size=\"15123456\"] \n  4 -> 5 [size =\"15123456\"]\n  5 [size=\"26736640\", alpha=\"0.08\", expect_size=\"8020992\"] \n  5 -> 6 [size =\"8020992\"]\n  6 [size=\"62136320\", alpha=\"0.17\", expect_size=\"18640896\"] \n  6 -> 7 [size =\"18640896\"]\n  7 [size=\"62156800\", alpha=\"0.10\", expect_size=\"18647040\"] \n  7 -> 8 [size =\"18647040\"]\n  8 [size=\"78663680\", alpha=\"0.18\", expect_size=\"23599104\"] \n  8 -> 9 [size =\"23599104\"]\n  9 [size=\"163170987\", alpha=\"0.20\", expect_size=\"48951296\"] \n  9 -> 10 [size =\"48951296\"]\n  10 [size=\"148357120\", alpha=\"0.04\", expect_size=\"44507136\"] \n  10 -> 11 [size =\"44507136\"]\n  11 [size=\"52623360\", alpha=\"0.17\", expect_size=\"15787008\"] \n  11 -> 12 [size =\"15787008\"]\n  12 [size=\"164003840\", alpha=\"0.15\", expect_size=\"49201152\"] \n  12 -> 13 [size =\"49201152\"]\n  13 [size=\"36689920\", alpha=\"0.07\", expect_size=\"11006976\"] \n  13 -> 14 [size =\"11006976\"]\n  14 [size=\"135905280\", alpha=\"0.10\", expect_size=\"40771584\"] \n  14 -> 15 [size =\"40771584\"]\n  15 [size=\"48196267\", alpha=\"0.03\", expect_size=\"14458880\"] \n  15 -> 16 [size =\"14458880\"]\n  16 [size=\"107656533\", alpha=\"0.15\", expect_size=\"32296960\"] \n  16 -> 17 [size =\"32296960\"]\n  17 [size=\"80646827\", alpha=\"0.09\", expect_size=\"24194048\"] \n  17 -> 18 [size =\"24194048\"]\n  18 [size=\"161358507\", alpha=\"0.14\", expect_size=\"48407552\"] \n  18 -> 19 [size =\"48407552\"]\n  19 [size=\"145343147\", alpha=\"0.04\", expect_size=\"43602944\"] \n  19 -> 20 [size =\"43602944\"]\n  20 [size=\"145111040\", alpha=\"0.04\", expect_size=\"43533312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77299712\", alpha=\"0.06\", expect_size=\"38649856\"] \n  1 -> 2 [size =\"38649856\"]\n  2 [size=\"68812800\", alpha=\"0.00\", expect_size=\"34406400\"] \n  2 -> 3 [size =\"34406400\"]\n  3 [size=\"61757440\", alpha=\"0.07\", expect_size=\"30878720\"] \n  3 -> 4 [size =\"30878720\"]\n  4 [size=\"29384704\", alpha=\"0.11\", expect_size=\"14692352\"] \n  4 -> 5 [size =\"14692352\"]\n  5 [size=\"43501568\", alpha=\"0.01\", expect_size=\"21750784\"] \n  5 -> 6 [size =\"21750784\"]\n  6 [size=\"61618176\", alpha=\"0.17\", expect_size=\"30809088\"] \n  6 -> 7 [size =\"30809088\"]\n  7 [size=\"95031296\", alpha=\"0.04\", expect_size=\"47515648\"] \n  7 -> 8 [size =\"47515648\"]\n  8 [size=\"64210944\", alpha=\"0.06\", expect_size=\"32105472\"] \n  8 -> 9 [size =\"32105472\"]\n  9 [size=\"58836992\", alpha=\"0.12\", expect_size=\"29418496\"] \n  9 -> 10 [size =\"29418496\"]\n  10 [size=\"44593152\", alpha=\"0.06\", expect_size=\"22296576\"] \n  10 -> 11 [size =\"22296576\"]\n  11 [size=\"61124608\", alpha=\"0.09\", expect_size=\"30562304\"] \n  11 -> 12 [size =\"30562304\"]\n  12 [size=\"91168768\", alpha=\"0.02\", expect_size=\"45584384\"] \n  12 -> 13 [size =\"45584384\"]\n  13 [size=\"92225536\", alpha=\"0.16\", expect_size=\"46112768\"] \n  13 -> 14 [size =\"46112768\"]\n  14 [size=\"31397888\", alpha=\"0.18\", expect_size=\"15698944\"] \n  14 -> 15 [size =\"15698944\"]\n  15 [size=\"81592320\", alpha=\"0.17\", expect_size=\"40796160\"] \n  15 -> 16 [size =\"40796160\"]\n  16 [size=\"84047872\", alpha=\"0.01\", expect_size=\"42023936\"] \n  16 -> 17 [size =\"42023936\"]\n  17 [size=\"71002112\", alpha=\"0.16\", expect_size=\"35501056\"] \n  17 -> 18 [size =\"35501056\"]\n  18 [size=\"91856896\", alpha=\"0.08\", expect_size=\"45928448\"] \n  18 -> 19 [size =\"45928448\"]\n  19 [size=\"27037696\", alpha=\"0.03\", expect_size=\"13518848\"] \n  19 -> 20 [size =\"13518848\"]\n  20 [size=\"82405376\", alpha=\"0.00\", expect_size=\"41202688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28684800\", alpha=\"0.13\", expect_size=\"11473920\"] \n  1 -> 17 [size =\"11473920\"]\n  2 [size=\"78553600\", alpha=\"0.04\", expect_size=\"31421440\"] \n  2 -> 12 [size =\"31421440\"]\n  2 -> 17 [size =\"31421440\"]\n  3 [size=\"75015680\", alpha=\"0.12\", expect_size=\"30006272\"] \n  3 -> 12 [size =\"30006272\"]\n  3 -> 17 [size =\"30006272\"]\n  4 [size=\"59120640\", alpha=\"0.13\", expect_size=\"23648256\"] \n  4 -> 14 [size =\"23648256\"]\n  4 -> 17 [size =\"23648256\"]\n  5 [size=\"35171840\", alpha=\"0.03\", expect_size=\"14068736\"] \n  5 -> 12 [size =\"14068736\"]\n  5 -> 14 [size =\"14068736\"]\n  5 -> 16 [size =\"14068736\"]\n  6 [size=\"25226240\", alpha=\"0.17\", expect_size=\"10090496\"] \n  6 -> 14 [size =\"10090496\"]\n  6 -> 15 [size =\"10090496\"]\n  6 -> 17 [size =\"10090496\"]\n  7 [size=\"98265600\", alpha=\"0.17\", expect_size=\"39306240\"] \n  7 -> 14 [size =\"39306240\"]\n  7 -> 16 [size =\"39306240\"]\n  8 [size=\"29565440\", alpha=\"0.19\", expect_size=\"11826176\"] \n  8 -> 14 [size =\"11826176\"]\n  8 -> 18 [size =\"11826176\"]\n  9 [size=\"20352000\", alpha=\"0.17\", expect_size=\"8140800\"] \n  9 -> 13 [size =\"8140800\"]\n  9 -> 17 [size =\"8140800\"]\n  10 [size=\"47910400\", alpha=\"0.06\", expect_size=\"19164160\"] \n  10 -> 18 [size =\"19164160\"]\n  11 [size=\"47040000\", alpha=\"0.17\", expect_size=\"18816000\"] \n  11 -> 16 [size =\"18816000\"]\n  12 [size=\"125952000\", alpha=\"0.16\", expect_size=\"50380800\"] \n  13 [size=\"30054400\", alpha=\"0.00\", expect_size=\"12021760\"] \n  13 -> 19 [size =\"12021760\"]\n  14 [size=\"103639040\", alpha=\"0.01\", expect_size=\"41455616\"] \n  14 -> 19 [size =\"41455616\"]\n  15 [size=\"62471680\", alpha=\"0.05\", expect_size=\"24988672\"] \n  15 -> 19 [size =\"24988672\"]\n  15 -> 20 [size =\"24988672\"]\n  16 [size=\"81018880\", alpha=\"0.05\", expect_size=\"32407552\"] \n  16 -> 19 [size =\"32407552\"]\n  17 [size=\"63383040\", alpha=\"0.20\", expect_size=\"25353216\"] \n  18 [size=\"46673920\", alpha=\"0.09\", expect_size=\"18669568\"] \n  18 -> 19 [size =\"18669568\"]\n  19 [size=\"42104320\", alpha=\"0.10\", expect_size=\"16841728\"] \n  20 [size=\"21675520\", alpha=\"0.08\", expect_size=\"8670208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45197312\", alpha=\"0.01\", expect_size=\"22598656\"] \n  1 -> 2 [size =\"22598656\"]\n  2 [size=\"16027648\", alpha=\"0.04\", expect_size=\"8013824\"] \n  2 -> 3 [size =\"8013824\"]\n  3 [size=\"48529408\", alpha=\"0.17\", expect_size=\"24264704\"] \n  3 -> 4 [size =\"24264704\"]\n  4 [size=\"31838208\", alpha=\"0.05\", expect_size=\"15919104\"] \n  4 -> 5 [size =\"15919104\"]\n  5 [size=\"103553024\", alpha=\"0.07\", expect_size=\"51776512\"] \n  5 -> 6 [size =\"51776512\"]\n  6 [size=\"69369856\", alpha=\"0.20\", expect_size=\"34684928\"] \n  6 -> 7 [size =\"34684928\"]\n  7 [size=\"29366272\", alpha=\"0.14\", expect_size=\"14683136\"] \n  7 -> 8 [size =\"14683136\"]\n  8 [size=\"60213248\", alpha=\"0.14\", expect_size=\"30106624\"] \n  8 -> 9 [size =\"30106624\"]\n  9 [size=\"38871040\", alpha=\"0.07\", expect_size=\"19435520\"] \n  9 -> 10 [size =\"19435520\"]\n  10 [size=\"63199232\", alpha=\"0.03\", expect_size=\"31599616\"] \n  10 -> 11 [size =\"31599616\"]\n  11 [size=\"41338880\", alpha=\"0.13\", expect_size=\"20669440\"] \n  11 -> 12 [size =\"20669440\"]\n  12 [size=\"47755264\", alpha=\"0.10\", expect_size=\"23877632\"] \n  12 -> 13 [size =\"23877632\"]\n  13 [size=\"65267712\", alpha=\"0.07\", expect_size=\"32633856\"] \n  13 -> 14 [size =\"32633856\"]\n  14 [size=\"50380800\", alpha=\"0.15\", expect_size=\"25190400\"] \n  14 -> 15 [size =\"25190400\"]\n  15 [size=\"74283008\", alpha=\"0.19\", expect_size=\"37141504\"] \n  15 -> 16 [size =\"37141504\"]\n  16 [size=\"14794752\", alpha=\"0.07\", expect_size=\"7397376\"] \n  16 -> 17 [size =\"7397376\"]\n  17 [size=\"13115392\", alpha=\"0.15\", expect_size=\"6557696\"] \n  17 -> 18 [size =\"6557696\"]\n  18 [size=\"78862336\", alpha=\"0.11\", expect_size=\"39431168\"] \n  18 -> 19 [size =\"39431168\"]\n  19 [size=\"51523584\", alpha=\"0.08\", expect_size=\"25761792\"] \n  19 -> 20 [size =\"25761792\"]\n  20 [size=\"83486720\", alpha=\"0.11\", expect_size=\"41743360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136775680\", alpha=\"0.04\", expect_size=\"41032704\"] \n  1 -> 10 [size =\"41032704\"]\n  1 -> 16 [size =\"41032704\"]\n  1 -> 17 [size =\"41032704\"]\n  2 [size=\"70478507\", alpha=\"0.12\", expect_size=\"21143552\"] \n  2 -> 10 [size =\"21143552\"]\n  2 -> 13 [size =\"21143552\"]\n  2 -> 16 [size =\"21143552\"]\n  2 -> 17 [size =\"21143552\"]\n  3 [size=\"78312107\", alpha=\"0.14\", expect_size=\"23493632\"] \n  3 -> 13 [size =\"23493632\"]\n  3 -> 16 [size =\"23493632\"]\n  3 -> 17 [size =\"23493632\"]\n  4 [size=\"67799040\", alpha=\"0.01\", expect_size=\"20339712\"] \n  4 -> 11 [size =\"20339712\"]\n  4 -> 12 [size =\"20339712\"]\n  5 [size=\"104331947\", alpha=\"0.08\", expect_size=\"31299584\"] \n  5 -> 11 [size =\"31299584\"]\n  5 -> 12 [size =\"31299584\"]\n  5 -> 14 [size =\"31299584\"]\n  5 -> 16 [size =\"31299584\"]\n  5 -> 17 [size =\"31299584\"]\n  6 [size=\"128880640\", alpha=\"0.00\", expect_size=\"38664192\"] \n  6 -> 10 [size =\"38664192\"]\n  6 -> 11 [size =\"38664192\"]\n  6 -> 14 [size =\"38664192\"]\n  7 [size=\"34321067\", alpha=\"0.06\", expect_size=\"10296320\"] \n  7 -> 11 [size =\"10296320\"]\n  7 -> 11 [size =\"10296320\"]\n  7 -> 14 [size =\"10296320\"]\n  7 -> 15 [size =\"10296320\"]\n  8 [size=\"70079147\", alpha=\"0.07\", expect_size=\"21023744\"] \n  8 -> 17 [size =\"21023744\"]\n  9 [size=\"129952427\", alpha=\"0.07\", expect_size=\"38985728\"] \n  9 -> 10 [size =\"38985728\"]\n  9 -> 12 [size =\"38985728\"]\n  9 -> 13 [size =\"38985728\"]\n  9 -> 14 [size =\"38985728\"]\n  9 -> 17 [size =\"38985728\"]\n  10 [size=\"46076587\", alpha=\"0.19\", expect_size=\"13822976\"] \n  10 -> 20 [size =\"13822976\"]\n  11 [size=\"99549867\", alpha=\"0.09\", expect_size=\"29864960\"] \n  11 -> 19 [size =\"29864960\"]\n  11 -> 20 [size =\"29864960\"]\n  12 [size=\"132246187\", alpha=\"0.13\", expect_size=\"39673856\"] \n  12 -> 18 [size =\"39673856\"]\n  13 [size=\"66433707\", alpha=\"0.10\", expect_size=\"19930112\"] \n  13 -> 18 [size =\"19930112\"]\n  13 -> 20 [size =\"19930112\"]\n  14 [size=\"22685013\", alpha=\"0.17\", expect_size=\"6805504\"] \n  14 -> 20 [size =\"6805504\"]\n  15 [size=\"26712747\", alpha=\"0.10\", expect_size=\"8013824\"] \n  15 -> 18 [size =\"8013824\"]\n  15 -> 19 [size =\"8013824\"]\n  16 [size=\"88954880\", alpha=\"0.12\", expect_size=\"26686464\"] \n  16 -> 18 [size =\"26686464\"]\n  16 -> 19 [size =\"26686464\"]\n  16 -> 20 [size =\"26686464\"]\n  17 [size=\"92105387\", alpha=\"0.11\", expect_size=\"27631616\"] \n  17 -> 20 [size =\"27631616\"]\n  18 [size=\"140810240\", alpha=\"0.04\", expect_size=\"42243072\"] \n  19 [size=\"35867307\", alpha=\"0.05\", expect_size=\"10760192\"] \n  20 [size=\"93381973\", alpha=\"0.18\", expect_size=\"28014592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26388480\", alpha=\"0.14\", expect_size=\"7916544\"] \n  1 -> 6 [size =\"7916544\"]\n  2 [size=\"25866240\", alpha=\"0.11\", expect_size=\"7759872\"] \n  2 -> 7 [size =\"7759872\"]\n  3 [size=\"36232533\", alpha=\"0.10\", expect_size=\"10869760\"] \n  3 -> 6 [size =\"10869760\"]\n  4 [size=\"91016533\", alpha=\"0.18\", expect_size=\"27304960\"] \n  4 -> 5 [size =\"27304960\"]\n  5 [size=\"31668907\", alpha=\"0.03\", expect_size=\"9500672\"] \n  5 -> 8 [size =\"9500672\"]\n  5 -> 9 [size =\"9500672\"]\n  5 -> 10 [size =\"9500672\"]\n  6 [size=\"129201493\", alpha=\"0.01\", expect_size=\"38760448\"] \n  6 -> 8 [size =\"38760448\"]\n  7 [size=\"141352960\", alpha=\"0.15\", expect_size=\"42405888\"] \n  8 [size=\"33064960\", alpha=\"0.20\", expect_size=\"9919488\"] \n  8 -> 12 [size =\"9919488\"]\n  8 -> 13 [size =\"9919488\"]\n  9 [size=\"81302187\", alpha=\"0.08\", expect_size=\"24390656\"] \n  9 -> 11 [size =\"24390656\"]\n  9 -> 12 [size =\"24390656\"]\n  10 [size=\"151128747\", alpha=\"0.06\", expect_size=\"45338624\"] \n  11 [size=\"174417920\", alpha=\"0.11\", expect_size=\"52325376\"] \n  11 -> 16 [size =\"52325376\"]\n  12 [size=\"125801813\", alpha=\"0.18\", expect_size=\"37740544\"] \n  12 -> 14 [size =\"37740544\"]\n  12 -> 15 [size =\"37740544\"]\n  13 [size=\"54043307\", alpha=\"0.18\", expect_size=\"16212992\"] \n  13 -> 15 [size =\"16212992\"]\n  13 -> 16 [size =\"16212992\"]\n  13 -> 17 [size =\"16212992\"]\n  14 [size=\"133744640\", alpha=\"0.17\", expect_size=\"40123392\"] \n  14 -> 19 [size =\"40123392\"]\n  15 [size=\"121453227\", alpha=\"0.06\", expect_size=\"36435968\"] \n  15 -> 18 [size =\"36435968\"]\n  15 -> 19 [size =\"36435968\"]\n  16 [size=\"146926933\", alpha=\"0.13\", expect_size=\"44078080\"] \n  17 [size=\"154586453\", alpha=\"0.15\", expect_size=\"46375936\"] \n  17 -> 20 [size =\"46375936\"]\n  18 [size=\"115036160\", alpha=\"0.20\", expect_size=\"34510848\"] \n  19 [size=\"113285120\", alpha=\"0.01\", expect_size=\"33985536\"] \n  20 [size=\"19230720\", alpha=\"0.10\", expect_size=\"5769216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41244672\", alpha=\"0.06\", expect_size=\"20622336\"] \n  1 -> 2 [size =\"20622336\"]\n  2 [size=\"40079360\", alpha=\"0.12\", expect_size=\"20039680\"] \n  2 -> 3 [size =\"20039680\"]\n  3 [size=\"28866560\", alpha=\"0.19\", expect_size=\"14433280\"] \n  3 -> 4 [size =\"14433280\"]\n  4 [size=\"24459264\", alpha=\"0.20\", expect_size=\"12229632\"] \n  4 -> 5 [size =\"12229632\"]\n  5 [size=\"47589376\", alpha=\"0.01\", expect_size=\"23794688\"] \n  5 -> 6 [size =\"23794688\"]\n  6 [size=\"71176192\", alpha=\"0.07\", expect_size=\"35588096\"] \n  6 -> 7 [size =\"35588096\"]\n  7 [size=\"104740864\", alpha=\"0.11\", expect_size=\"52370432\"] \n  7 -> 8 [size =\"52370432\"]\n  8 [size=\"94818304\", alpha=\"0.10\", expect_size=\"47409152\"] \n  8 -> 9 [size =\"47409152\"]\n  9 [size=\"104054784\", alpha=\"0.08\", expect_size=\"52027392\"] \n  9 -> 10 [size =\"52027392\"]\n  10 [size=\"43984896\", alpha=\"0.08\", expect_size=\"21992448\"] \n  10 -> 11 [size =\"21992448\"]\n  11 [size=\"21213184\", alpha=\"0.05\", expect_size=\"10606592\"] \n  11 -> 12 [size =\"10606592\"]\n  12 [size=\"50292736\", alpha=\"0.01\", expect_size=\"25146368\"] \n  12 -> 13 [size =\"25146368\"]\n  13 [size=\"11548672\", alpha=\"0.01\", expect_size=\"5774336\"] \n  13 -> 14 [size =\"5774336\"]\n  14 [size=\"99434496\", alpha=\"0.15\", expect_size=\"49717248\"] \n  14 -> 15 [size =\"49717248\"]\n  15 [size=\"99373056\", alpha=\"0.09\", expect_size=\"49686528\"] \n  15 -> 16 [size =\"49686528\"]\n  16 [size=\"103589888\", alpha=\"0.06\", expect_size=\"51794944\"] \n  16 -> 17 [size =\"51794944\"]\n  17 [size=\"40681472\", alpha=\"0.09\", expect_size=\"20340736\"] \n  17 -> 18 [size =\"20340736\"]\n  18 [size=\"94298112\", alpha=\"0.09\", expect_size=\"47149056\"] \n  18 -> 19 [size =\"47149056\"]\n  19 [size=\"47532032\", alpha=\"0.10\", expect_size=\"23766016\"] \n  19 -> 20 [size =\"23766016\"]\n  20 [size=\"86091776\", alpha=\"0.20\", expect_size=\"43045888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96942080\", alpha=\"0.08\", expect_size=\"29082624\"] \n  1 -> 5 [size =\"29082624\"]\n  1 -> 6 [size =\"29082624\"]\n  1 -> 7 [size =\"29082624\"]\n  2 [size=\"79984640\", alpha=\"0.14\", expect_size=\"23995392\"] \n  3 [size=\"132450987\", alpha=\"0.20\", expect_size=\"39735296\"] \n  4 [size=\"66856960\", alpha=\"0.10\", expect_size=\"20057088\"] \n  4 -> 7 [size =\"20057088\"]\n  5 [size=\"76096853\", alpha=\"0.19\", expect_size=\"22829056\"] \n  5 -> 11 [size =\"22829056\"]\n  6 [size=\"165147307\", alpha=\"0.11\", expect_size=\"49544192\"] \n  6 -> 8 [size =\"49544192\"]\n  6 -> 9 [size =\"49544192\"]\n  6 -> 10 [size =\"49544192\"]\n  7 [size=\"130717013\", alpha=\"0.02\", expect_size=\"39215104\"] \n  7 -> 8 [size =\"39215104\"]\n  7 -> 11 [size =\"39215104\"]\n  8 [size=\"158692693\", alpha=\"0.05\", expect_size=\"47607808\"] \n  8 -> 12 [size =\"47607808\"]\n  8 -> 14 [size =\"47607808\"]\n  8 -> 15 [size =\"47607808\"]\n  9 [size=\"157429760\", alpha=\"0.07\", expect_size=\"47228928\"] \n  9 -> 14 [size =\"47228928\"]\n  10 [size=\"103662933\", alpha=\"0.09\", expect_size=\"31098880\"] \n  10 -> 13 [size =\"31098880\"]\n  11 [size=\"109271040\", alpha=\"0.08\", expect_size=\"32781312\"] \n  11 -> 12 [size =\"32781312\"]\n  11 -> 13 [size =\"32781312\"]\n  12 [size=\"17725440\", alpha=\"0.16\", expect_size=\"5317632\"] \n  12 -> 17 [size =\"5317632\"]\n  13 [size=\"127416320\", alpha=\"0.20\", expect_size=\"38224896\"] \n  13 -> 17 [size =\"38224896\"]\n  14 [size=\"124313600\", alpha=\"0.14\", expect_size=\"37294080\"] \n  14 -> 16 [size =\"37294080\"]\n  14 -> 18 [size =\"37294080\"]\n  15 [size=\"43680427\", alpha=\"0.06\", expect_size=\"13104128\"] \n  16 [size=\"37611520\", alpha=\"0.10\", expect_size=\"11283456\"] \n  16 -> 20 [size =\"11283456\"]\n  17 [size=\"123327147\", alpha=\"0.00\", expect_size=\"36998144\"] \n  17 -> 19 [size =\"36998144\"]\n  17 -> 20 [size =\"36998144\"]\n  18 [size=\"139301547\", alpha=\"0.02\", expect_size=\"41790464\"] \n  19 [size=\"23019520\", alpha=\"0.20\", expect_size=\"6905856\"] \n  20 [size=\"74789547\", alpha=\"0.11\", expect_size=\"22436864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78440448\", alpha=\"0.10\", expect_size=\"39220224\"] \n  1 -> 4 [size =\"39220224\"]\n  2 [size=\"15972352\", alpha=\"0.00\", expect_size=\"7986176\"] \n  2 -> 5 [size =\"7986176\"]\n  2 -> 7 [size =\"7986176\"]\n  3 [size=\"12681216\", alpha=\"0.19\", expect_size=\"6340608\"] \n  3 -> 5 [size =\"6340608\"]\n  3 -> 6 [size =\"6340608\"]\n  3 -> 7 [size =\"6340608\"]\n  4 [size=\"78510080\", alpha=\"0.10\", expect_size=\"39255040\"] \n  4 -> 9 [size =\"39255040\"]\n  5 [size=\"80730112\", alpha=\"0.02\", expect_size=\"40365056\"] \n  5 -> 9 [size =\"40365056\"]\n  6 [size=\"13287424\", alpha=\"0.15\", expect_size=\"6643712\"] \n  6 -> 8 [size =\"6643712\"]\n  7 [size=\"72585216\", alpha=\"0.20\", expect_size=\"36292608\"] \n  7 -> 10 [size =\"36292608\"]\n  8 [size=\"82544640\", alpha=\"0.17\", expect_size=\"41272320\"] \n  9 [size=\"66314240\", alpha=\"0.15\", expect_size=\"33157120\"] \n  9 -> 12 [size =\"33157120\"]\n  10 [size=\"90611712\", alpha=\"0.05\", expect_size=\"45305856\"] \n  10 -> 11 [size =\"45305856\"]\n  10 -> 13 [size =\"45305856\"]\n  10 -> 14 [size =\"45305856\"]\n  11 [size=\"40607744\", alpha=\"0.05\", expect_size=\"20303872\"] \n  11 -> 15 [size =\"20303872\"]\n  12 [size=\"89720832\", alpha=\"0.03\", expect_size=\"44860416\"] \n  12 -> 15 [size =\"44860416\"]\n  12 -> 16 [size =\"44860416\"]\n  13 [size=\"90767360\", alpha=\"0.19\", expect_size=\"45383680\"] \n  13 -> 17 [size =\"45383680\"]\n  14 [size=\"86188032\", alpha=\"0.11\", expect_size=\"43094016\"] \n  15 [size=\"39155712\", alpha=\"0.18\", expect_size=\"19577856\"] \n  16 [size=\"47570944\", alpha=\"0.20\", expect_size=\"23785472\"] \n  16 -> 18 [size =\"23785472\"]\n  16 -> 19 [size =\"23785472\"]\n  16 -> 20 [size =\"23785472\"]\n  17 [size=\"25591808\", alpha=\"0.09\", expect_size=\"12795904\"] \n  17 -> 20 [size =\"12795904\"]\n  18 [size=\"25327616\", alpha=\"0.15\", expect_size=\"12663808\"] \n  19 [size=\"12120064\", alpha=\"0.10\", expect_size=\"6060032\"] \n  20 [size=\"82833408\", alpha=\"0.01\", expect_size=\"41416704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53569536\", alpha=\"0.08\", expect_size=\"26784768\"] \n  1 -> 6 [size =\"26784768\"]\n  1 -> 14 [size =\"26784768\"]\n  2 [size=\"52334592\", alpha=\"0.03\", expect_size=\"26167296\"] \n  2 -> 6 [size =\"26167296\"]\n  2 -> 7 [size =\"26167296\"]\n  2 -> 11 [size =\"26167296\"]\n  2 -> 14 [size =\"26167296\"]\n  3 [size=\"32090112\", alpha=\"0.17\", expect_size=\"16045056\"] \n  3 -> 6 [size =\"16045056\"]\n  3 -> 8 [size =\"16045056\"]\n  3 -> 9 [size =\"16045056\"]\n  3 -> 13 [size =\"16045056\"]\n  4 [size=\"41385984\", alpha=\"0.09\", expect_size=\"20692992\"] \n  4 -> 7 [size =\"20692992\"]\n  4 -> 9 [size =\"20692992\"]\n  4 -> 11 [size =\"20692992\"]\n  4 -> 12 [size =\"20692992\"]\n  4 -> 14 [size =\"20692992\"]\n  5 [size=\"71041024\", alpha=\"0.01\", expect_size=\"35520512\"] \n  5 -> 8 [size =\"35520512\"]\n  5 -> 9 [size =\"35520512\"]\n  5 -> 10 [size =\"35520512\"]\n  5 -> 11 [size =\"35520512\"]\n  5 -> 13 [size =\"35520512\"]\n  6 [size=\"22984704\", alpha=\"0.15\", expect_size=\"11492352\"] \n  7 [size=\"70864896\", alpha=\"0.00\", expect_size=\"35432448\"] \n  7 -> 15 [size =\"35432448\"]\n  7 -> 17 [size =\"35432448\"]\n  8 [size=\"68880384\", alpha=\"0.18\", expect_size=\"34440192\"] \n  8 -> 16 [size =\"34440192\"]\n  8 -> 17 [size =\"34440192\"]\n  8 -> 20 [size =\"34440192\"]\n  9 [size=\"25194496\", alpha=\"0.20\", expect_size=\"12597248\"] \n  9 -> 16 [size =\"12597248\"]\n  9 -> 19 [size =\"12597248\"]\n  9 -> 20 [size =\"12597248\"]\n  10 [size=\"88295424\", alpha=\"0.14\", expect_size=\"44147712\"] \n  10 -> 19 [size =\"44147712\"]\n  11 [size=\"75280384\", alpha=\"0.11\", expect_size=\"37640192\"] \n  11 -> 17 [size =\"37640192\"]\n  11 -> 18 [size =\"37640192\"]\n  11 -> 19 [size =\"37640192\"]\n  11 -> 20 [size =\"37640192\"]\n  12 [size=\"19683328\", alpha=\"0.03\", expect_size=\"9841664\"] \n  12 -> 19 [size =\"9841664\"]\n  12 -> 20 [size =\"9841664\"]\n  13 [size=\"31979520\", alpha=\"0.02\", expect_size=\"15989760\"] \n  13 -> 17 [size =\"15989760\"]\n  14 [size=\"16265216\", alpha=\"0.10\", expect_size=\"8132608\"] \n  14 -> 17 [size =\"8132608\"]\n  15 [size=\"57126912\", alpha=\"0.08\", expect_size=\"28563456\"] \n  16 [size=\"59785216\", alpha=\"0.13\", expect_size=\"29892608\"] \n  17 [size=\"34455552\", alpha=\"0.13\", expect_size=\"17227776\"] \n  18 [size=\"35092480\", alpha=\"0.11\", expect_size=\"17546240\"] \n  19 [size=\"26963968\", alpha=\"0.00\", expect_size=\"13481984\"] \n  20 [size=\"25513984\", alpha=\"0.13\", expect_size=\"12756992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104679424\", alpha=\"0.02\", expect_size=\"52339712\"] \n  1 -> 2 [size =\"52339712\"]\n  2 [size=\"39469056\", alpha=\"0.08\", expect_size=\"19734528\"] \n  2 -> 3 [size =\"19734528\"]\n  3 [size=\"13373440\", alpha=\"0.09\", expect_size=\"6686720\"] \n  3 -> 4 [size =\"6686720\"]\n  4 [size=\"28880896\", alpha=\"0.09\", expect_size=\"14440448\"] \n  4 -> 5 [size =\"14440448\"]\n  5 [size=\"98236416\", alpha=\"0.20\", expect_size=\"49118208\"] \n  5 -> 6 [size =\"49118208\"]\n  6 [size=\"36868096\", alpha=\"0.13\", expect_size=\"18434048\"] \n  6 -> 7 [size =\"18434048\"]\n  7 [size=\"42795008\", alpha=\"0.01\", expect_size=\"21397504\"] \n  7 -> 8 [size =\"21397504\"]\n  8 [size=\"13438976\", alpha=\"0.03\", expect_size=\"6719488\"] \n  8 -> 9 [size =\"6719488\"]\n  9 [size=\"79507456\", alpha=\"0.12\", expect_size=\"39753728\"] \n  9 -> 10 [size =\"39753728\"]\n  10 [size=\"51722240\", alpha=\"0.12\", expect_size=\"25861120\"] \n  10 -> 11 [size =\"25861120\"]\n  11 [size=\"46821376\", alpha=\"0.04\", expect_size=\"23410688\"] \n  11 -> 12 [size =\"23410688\"]\n  12 [size=\"54589440\", alpha=\"0.08\", expect_size=\"27294720\"] \n  12 -> 13 [size =\"27294720\"]\n  13 [size=\"93327360\", alpha=\"0.02\", expect_size=\"46663680\"] \n  13 -> 14 [size =\"46663680\"]\n  14 [size=\"42252288\", alpha=\"0.18\", expect_size=\"21126144\"] \n  14 -> 15 [size =\"21126144\"]\n  15 [size=\"86036480\", alpha=\"0.11\", expect_size=\"43018240\"] \n  15 -> 16 [size =\"43018240\"]\n  16 [size=\"85313536\", alpha=\"0.15\", expect_size=\"42656768\"] \n  16 -> 17 [size =\"42656768\"]\n  17 [size=\"53420032\", alpha=\"0.08\", expect_size=\"26710016\"] \n  17 -> 18 [size =\"26710016\"]\n  18 [size=\"60215296\", alpha=\"0.09\", expect_size=\"30107648\"] \n  18 -> 19 [size =\"30107648\"]\n  19 [size=\"74487808\", alpha=\"0.01\", expect_size=\"37243904\"] \n  19 -> 20 [size =\"37243904\"]\n  20 [size=\"38629376\", alpha=\"0.17\", expect_size=\"19314688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96432640\", alpha=\"0.08\", expect_size=\"38573056\"] \n  1 -> 4 [size =\"38573056\"]\n  1 -> 6 [size =\"38573056\"]\n  2 [size=\"67261440\", alpha=\"0.03\", expect_size=\"26904576\"] \n  2 -> 5 [size =\"26904576\"]\n  3 [size=\"71859200\", alpha=\"0.01\", expect_size=\"28743680\"] \n  3 -> 4 [size =\"28743680\"]\n  4 [size=\"48424960\", alpha=\"0.00\", expect_size=\"19369984\"] \n  4 -> 7 [size =\"19369984\"]\n  4 -> 8 [size =\"19369984\"]\n  4 -> 9 [size =\"19369984\"]\n  5 [size=\"75980800\", alpha=\"0.15\", expect_size=\"30392320\"] \n  6 [size=\"119984640\", alpha=\"0.02\", expect_size=\"47993856\"] \n  6 -> 8 [size =\"47993856\"]\n  7 [size=\"59607040\", alpha=\"0.11\", expect_size=\"23842816\"] \n  7 -> 10 [size =\"23842816\"]\n  8 [size=\"29102080\", alpha=\"0.01\", expect_size=\"11640832\"] \n  8 -> 11 [size =\"11640832\"]\n  8 -> 12 [size =\"11640832\"]\n  9 [size=\"79536640\", alpha=\"0.11\", expect_size=\"31814656\"] \n  10 [size=\"90992640\", alpha=\"0.18\", expect_size=\"36397056\"] \n  11 [size=\"51607040\", alpha=\"0.03\", expect_size=\"20642816\"] \n  11 -> 13 [size =\"20642816\"]\n  12 [size=\"98713600\", alpha=\"0.06\", expect_size=\"39485440\"] \n  12 -> 14 [size =\"39485440\"]\n  12 -> 15 [size =\"39485440\"]\n  13 [size=\"114252800\", alpha=\"0.05\", expect_size=\"45701120\"] \n  13 -> 18 [size =\"45701120\"]\n  14 [size=\"121738240\", alpha=\"0.16\", expect_size=\"48695296\"] \n  14 -> 17 [size =\"48695296\"]\n  14 -> 18 [size =\"48695296\"]\n  15 [size=\"124400640\", alpha=\"0.04\", expect_size=\"49760256\"] \n  15 -> 16 [size =\"49760256\"]\n  16 [size=\"95313920\", alpha=\"0.19\", expect_size=\"38125568\"] \n  17 [size=\"105341440\", alpha=\"0.16\", expect_size=\"42136576\"] \n  18 [size=\"52994560\", alpha=\"0.18\", expect_size=\"21197824\"] \n  18 -> 19 [size =\"21197824\"]\n  18 -> 20 [size =\"21197824\"]\n  19 [size=\"61109760\", alpha=\"0.02\", expect_size=\"24443904\"] \n  20 [size=\"124771840\", alpha=\"0.09\", expect_size=\"49908736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59975680\", alpha=\"0.06\", expect_size=\"29987840\"] \n  1 -> 2 [size =\"29987840\"]\n  2 [size=\"57204736\", alpha=\"0.07\", expect_size=\"28602368\"] \n  2 -> 3 [size =\"28602368\"]\n  3 [size=\"34758656\", alpha=\"0.16\", expect_size=\"17379328\"] \n  3 -> 4 [size =\"17379328\"]\n  4 [size=\"80766976\", alpha=\"0.19\", expect_size=\"40383488\"] \n  4 -> 5 [size =\"40383488\"]\n  5 [size=\"21127168\", alpha=\"0.04\", expect_size=\"10563584\"] \n  5 -> 6 [size =\"10563584\"]\n  6 [size=\"75952128\", alpha=\"0.12\", expect_size=\"37976064\"] \n  6 -> 7 [size =\"37976064\"]\n  7 [size=\"56594432\", alpha=\"0.13\", expect_size=\"28297216\"] \n  7 -> 8 [size =\"28297216\"]\n  8 [size=\"54368256\", alpha=\"0.02\", expect_size=\"27184128\"] \n  8 -> 9 [size =\"27184128\"]\n  9 [size=\"16621568\", alpha=\"0.11\", expect_size=\"8310784\"] \n  9 -> 10 [size =\"8310784\"]\n  10 [size=\"79003648\", alpha=\"0.20\", expect_size=\"39501824\"] \n  10 -> 11 [size =\"39501824\"]\n  11 [size=\"18149376\", alpha=\"0.17\", expect_size=\"9074688\"] \n  11 -> 12 [size =\"9074688\"]\n  12 [size=\"47421440\", alpha=\"0.08\", expect_size=\"23710720\"] \n  12 -> 13 [size =\"23710720\"]\n  13 [size=\"80584704\", alpha=\"0.06\", expect_size=\"40292352\"] \n  13 -> 14 [size =\"40292352\"]\n  14 [size=\"63533056\", alpha=\"0.02\", expect_size=\"31766528\"] \n  14 -> 15 [size =\"31766528\"]\n  15 [size=\"60094464\", alpha=\"0.10\", expect_size=\"30047232\"] \n  15 -> 16 [size =\"30047232\"]\n  16 [size=\"79038464\", alpha=\"0.13\", expect_size=\"39519232\"] \n  16 -> 17 [size =\"39519232\"]\n  17 [size=\"40212480\", alpha=\"0.13\", expect_size=\"20106240\"] \n  17 -> 18 [size =\"20106240\"]\n  18 [size=\"102193152\", alpha=\"0.13\", expect_size=\"51096576\"] \n  18 -> 19 [size =\"51096576\"]\n  19 [size=\"16336896\", alpha=\"0.11\", expect_size=\"8168448\"] \n  19 -> 20 [size =\"8168448\"]\n  20 [size=\"70285312\", alpha=\"0.11\", expect_size=\"35142656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33765376\", alpha=\"0.19\", expect_size=\"16882688\"] \n  1 -> 2 [size =\"16882688\"]\n  2 [size=\"68550656\", alpha=\"0.06\", expect_size=\"34275328\"] \n  2 -> 3 [size =\"34275328\"]\n  3 [size=\"94988288\", alpha=\"0.12\", expect_size=\"47494144\"] \n  3 -> 4 [size =\"47494144\"]\n  4 [size=\"76320768\", alpha=\"0.07\", expect_size=\"38160384\"] \n  4 -> 5 [size =\"38160384\"]\n  5 [size=\"86720512\", alpha=\"0.10\", expect_size=\"43360256\"] \n  5 -> 6 [size =\"43360256\"]\n  6 [size=\"76007424\", alpha=\"0.10\", expect_size=\"38003712\"] \n  6 -> 7 [size =\"38003712\"]\n  7 [size=\"46182400\", alpha=\"0.06\", expect_size=\"23091200\"] \n  7 -> 8 [size =\"23091200\"]\n  8 [size=\"94261248\", alpha=\"0.19\", expect_size=\"47130624\"] \n  8 -> 9 [size =\"47130624\"]\n  9 [size=\"71673856\", alpha=\"0.16\", expect_size=\"35836928\"] \n  9 -> 10 [size =\"35836928\"]\n  10 [size=\"44482560\", alpha=\"0.16\", expect_size=\"22241280\"] \n  10 -> 11 [size =\"22241280\"]\n  11 [size=\"30085120\", alpha=\"0.01\", expect_size=\"15042560\"] \n  11 -> 12 [size =\"15042560\"]\n  12 [size=\"23117824\", alpha=\"0.06\", expect_size=\"11558912\"] \n  12 -> 13 [size =\"11558912\"]\n  13 [size=\"51202048\", alpha=\"0.17\", expect_size=\"25601024\"] \n  13 -> 14 [size =\"25601024\"]\n  14 [size=\"14002176\", alpha=\"0.19\", expect_size=\"7001088\"] \n  14 -> 15 [size =\"7001088\"]\n  15 [size=\"44740608\", alpha=\"0.02\", expect_size=\"22370304\"] \n  15 -> 16 [size =\"22370304\"]\n  16 [size=\"94152704\", alpha=\"0.04\", expect_size=\"47076352\"] \n  16 -> 17 [size =\"47076352\"]\n  17 [size=\"46475264\", alpha=\"0.01\", expect_size=\"23237632\"] \n  17 -> 18 [size =\"23237632\"]\n  18 [size=\"76394496\", alpha=\"0.17\", expect_size=\"38197248\"] \n  18 -> 19 [size =\"38197248\"]\n  19 [size=\"72087552\", alpha=\"0.11\", expect_size=\"36043776\"] \n  19 -> 20 [size =\"36043776\"]\n  20 [size=\"54571008\", alpha=\"0.03\", expect_size=\"27285504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110417920\", alpha=\"0.15\", expect_size=\"33125376\"] \n  2 [size=\"81073493\", alpha=\"0.16\", expect_size=\"24322048\"] \n  3 [size=\"156992853\", alpha=\"0.11\", expect_size=\"47097856\"] \n  4 [size=\"143209813\", alpha=\"0.07\", expect_size=\"42962944\"] \n  5 [size=\"75373227\", alpha=\"0.12\", expect_size=\"22611968\"] \n  6 [size=\"162085547\", alpha=\"0.04\", expect_size=\"48625664\"] \n  7 [size=\"80114347\", alpha=\"0.07\", expect_size=\"24034304\"] \n  7 -> 20 [size =\"24034304\"]\n  8 [size=\"153562453\", alpha=\"0.05\", expect_size=\"46068736\"] \n  9 [size=\"68382720\", alpha=\"0.06\", expect_size=\"20514816\"] \n  9 -> 20 [size =\"20514816\"]\n  10 [size=\"148841813\", alpha=\"0.05\", expect_size=\"44652544\"] \n  10 -> 19 [size =\"44652544\"]\n  10 -> 20 [size =\"44652544\"]\n  11 [size=\"60416000\", alpha=\"0.02\", expect_size=\"18124800\"] \n  11 -> 20 [size =\"18124800\"]\n  11 -> 20 [size =\"18124800\"]\n  12 [size=\"22084267\", alpha=\"0.16\", expect_size=\"6625280\"] \n  12 -> 18 [size =\"6625280\"]\n  12 -> 20 [size =\"6625280\"]\n  13 [size=\"144179200\", alpha=\"0.06\", expect_size=\"43253760\"] \n  13 -> 19 [size =\"43253760\"]\n  13 -> 20 [size =\"43253760\"]\n  14 [size=\"70444373\", alpha=\"0.15\", expect_size=\"21133312\"] \n  14 -> 20 [size =\"21133312\"]\n  15 [size=\"128290133\", alpha=\"0.00\", expect_size=\"38487040\"] \n  16 [size=\"62180693\", alpha=\"0.08\", expect_size=\"18654208\"] \n  16 -> 19 [size =\"18654208\"]\n  17 [size=\"90019840\", alpha=\"0.16\", expect_size=\"27005952\"] \n  17 -> 19 [size =\"27005952\"]\n  18 [size=\"143390720\", alpha=\"0.10\", expect_size=\"43017216\"] \n  19 [size=\"27910827\", alpha=\"0.09\", expect_size=\"8373248\"] \n  20 [size=\"75578027\", alpha=\"0.17\", expect_size=\"22673408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171349333\", alpha=\"0.17\", expect_size=\"51404800\"] \n  1 -> 9 [size =\"51404800\"]\n  1 -> 10 [size =\"51404800\"]\n  1 -> 11 [size =\"51404800\"]\n  1 -> 13 [size =\"51404800\"]\n  2 [size=\"161440427\", alpha=\"0.20\", expect_size=\"48432128\"] \n  2 -> 11 [size =\"48432128\"]\n  2 -> 12 [size =\"48432128\"]\n  2 -> 15 [size =\"48432128\"]\n  3 [size=\"42810027\", alpha=\"0.12\", expect_size=\"12843008\"] \n  3 -> 9 [size =\"12843008\"]\n  3 -> 15 [size =\"12843008\"]\n  4 [size=\"134314667\", alpha=\"0.07\", expect_size=\"40294400\"] \n  4 -> 8 [size =\"40294400\"]\n  4 -> 12 [size =\"40294400\"]\n  4 -> 13 [size =\"40294400\"]\n  4 -> 15 [size =\"40294400\"]\n  5 [size=\"127429973\", alpha=\"0.19\", expect_size=\"38228992\"] \n  5 -> 11 [size =\"38228992\"]\n  5 -> 15 [size =\"38228992\"]\n  6 [size=\"137055573\", alpha=\"0.11\", expect_size=\"41116672\"] \n  6 -> 8 [size =\"41116672\"]\n  6 -> 11 [size =\"41116672\"]\n  6 -> 12 [size =\"41116672\"]\n  7 [size=\"94542507\", alpha=\"0.02\", expect_size=\"28362752\"] \n  7 -> 9 [size =\"28362752\"]\n  7 -> 10 [size =\"28362752\"]\n  7 -> 11 [size =\"28362752\"]\n  7 -> 12 [size =\"28362752\"]\n  7 -> 14 [size =\"28362752\"]\n  7 -> 15 [size =\"28362752\"]\n  8 [size=\"40983893\", alpha=\"0.15\", expect_size=\"12295168\"] \n  8 -> 18 [size =\"12295168\"]\n  8 -> 19 [size =\"12295168\"]\n  9 [size=\"66754560\", alpha=\"0.19\", expect_size=\"20026368\"] \n  9 -> 18 [size =\"20026368\"]\n  10 [size=\"34764800\", alpha=\"0.14\", expect_size=\"10429440\"] \n  10 -> 19 [size =\"10429440\"]\n  10 -> 20 [size =\"10429440\"]\n  11 [size=\"143889067\", alpha=\"0.17\", expect_size=\"43166720\"] \n  11 -> 16 [size =\"43166720\"]\n  11 -> 17 [size =\"43166720\"]\n  12 [size=\"119251627\", alpha=\"0.04\", expect_size=\"35775488\"] \n  12 -> 17 [size =\"35775488\"]\n  13 [size=\"118490453\", alpha=\"0.05\", expect_size=\"35547136\"] \n  13 -> 17 [size =\"35547136\"]\n  13 -> 18 [size =\"35547136\"]\n  13 -> 19 [size =\"35547136\"]\n  13 -> 20 [size =\"35547136\"]\n  14 [size=\"58740053\", alpha=\"0.14\", expect_size=\"17622016\"] \n  14 -> 17 [size =\"17622016\"]\n  14 -> 18 [size =\"17622016\"]\n  14 -> 19 [size =\"17622016\"]\n  15 [size=\"113472853\", alpha=\"0.13\", expect_size=\"34041856\"] \n  15 -> 17 [size =\"34041856\"]\n  15 -> 18 [size =\"34041856\"]\n  15 -> 19 [size =\"34041856\"]\n  16 [size=\"104724480\", alpha=\"0.03\", expect_size=\"31417344\"] \n  17 [size=\"32221867\", alpha=\"0.08\", expect_size=\"9666560\"] \n  18 [size=\"48448853\", alpha=\"0.12\", expect_size=\"14534656\"] \n  19 [size=\"164587520\", alpha=\"0.12\", expect_size=\"49376256\"] \n  20 [size=\"157890560\", alpha=\"0.14\", expect_size=\"47367168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39123627\", alpha=\"0.02\", expect_size=\"11737088\"] \n  1 -> 5 [size =\"11737088\"]\n  2 [size=\"69550080\", alpha=\"0.09\", expect_size=\"20865024\"] \n  2 -> 7 [size =\"20865024\"]\n  3 [size=\"103444480\", alpha=\"0.07\", expect_size=\"31033344\"] \n  3 -> 6 [size =\"31033344\"]\n  4 [size=\"36345173\", alpha=\"0.09\", expect_size=\"10903552\"] \n  4 -> 5 [size =\"10903552\"]\n  5 [size=\"119545173\", alpha=\"0.14\", expect_size=\"35863552\"] \n  5 -> 9 [size =\"35863552\"]\n  6 [size=\"112042667\", alpha=\"0.07\", expect_size=\"33612800\"] \n  6 -> 10 [size =\"33612800\"]\n  7 [size=\"113728853\", alpha=\"0.13\", expect_size=\"34118656\"] \n  7 -> 8 [size =\"34118656\"]\n  8 [size=\"50189653\", alpha=\"0.01\", expect_size=\"15056896\"] \n  8 -> 11 [size =\"15056896\"]\n  8 -> 12 [size =\"15056896\"]\n  9 [size=\"150504107\", alpha=\"0.03\", expect_size=\"45151232\"] \n  9 -> 13 [size =\"45151232\"]\n  10 [size=\"40215893\", alpha=\"0.03\", expect_size=\"12064768\"] \n  10 -> 11 [size =\"12064768\"]\n  10 -> 12 [size =\"12064768\"]\n  11 [size=\"84920320\", alpha=\"0.02\", expect_size=\"25476096\"] \n  11 -> 14 [size =\"25476096\"]\n  11 -> 15 [size =\"25476096\"]\n  11 -> 16 [size =\"25476096\"]\n  11 -> 17 [size =\"25476096\"]\n  12 [size=\"101386240\", alpha=\"0.03\", expect_size=\"30415872\"] \n  12 -> 15 [size =\"30415872\"]\n  12 -> 17 [size =\"30415872\"]\n  13 [size=\"170833920\", alpha=\"0.14\", expect_size=\"51250176\"] \n  13 -> 14 [size =\"51250176\"]\n  14 [size=\"65082027\", alpha=\"0.10\", expect_size=\"19524608\"] \n  14 -> 18 [size =\"19524608\"]\n  14 -> 20 [size =\"19524608\"]\n  15 [size=\"138663253\", alpha=\"0.06\", expect_size=\"41598976\"] \n  15 -> 19 [size =\"41598976\"]\n  16 [size=\"87821653\", alpha=\"0.19\", expect_size=\"26346496\"] \n  16 -> 20 [size =\"26346496\"]\n  17 [size=\"140666880\", alpha=\"0.12\", expect_size=\"42200064\"] \n  17 -> 18 [size =\"42200064\"]\n  18 [size=\"84927147\", alpha=\"0.15\", expect_size=\"25478144\"] \n  19 [size=\"95822507\", alpha=\"0.16\", expect_size=\"28746752\"] \n  20 [size=\"120087893\", alpha=\"0.19\", expect_size=\"36026368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43730944\", alpha=\"0.04\", expect_size=\"21865472\"] \n  1 -> 5 [size =\"21865472\"]\n  1 -> 6 [size =\"21865472\"]\n  2 [size=\"104058880\", alpha=\"0.15\", expect_size=\"52029440\"] \n  3 [size=\"89618432\", alpha=\"0.16\", expect_size=\"44809216\"] \n  3 -> 6 [size =\"44809216\"]\n  3 -> 7 [size =\"44809216\"]\n  4 [size=\"12986368\", alpha=\"0.20\", expect_size=\"6493184\"] \n  4 -> 5 [size =\"6493184\"]\n  4 -> 6 [size =\"6493184\"]\n  4 -> 7 [size =\"6493184\"]\n  5 [size=\"12400640\", alpha=\"0.06\", expect_size=\"6200320\"] \n  5 -> 8 [size =\"6200320\"]\n  5 -> 10 [size =\"6200320\"]\n  5 -> 11 [size =\"6200320\"]\n  5 -> 12 [size =\"6200320\"]\n  6 [size=\"28592128\", alpha=\"0.11\", expect_size=\"14296064\"] \n  6 -> 9 [size =\"14296064\"]\n  7 [size=\"62400512\", alpha=\"0.11\", expect_size=\"31200256\"] \n  7 -> 8 [size =\"31200256\"]\n  7 -> 9 [size =\"31200256\"]\n  7 -> 10 [size =\"31200256\"]\n  7 -> 11 [size =\"31200256\"]\n  7 -> 12 [size =\"31200256\"]\n  8 [size=\"17487872\", alpha=\"0.14\", expect_size=\"8743936\"] \n  8 -> 13 [size =\"8743936\"]\n  8 -> 14 [size =\"8743936\"]\n  9 [size=\"15081472\", alpha=\"0.02\", expect_size=\"7540736\"] \n  9 -> 13 [size =\"7540736\"]\n  9 -> 14 [size =\"7540736\"]\n  10 [size=\"99923968\", alpha=\"0.09\", expect_size=\"49961984\"] \n  11 [size=\"73502720\", alpha=\"0.19\", expect_size=\"36751360\"] \n  11 -> 13 [size =\"36751360\"]\n  11 -> 15 [size =\"36751360\"]\n  12 [size=\"93220864\", alpha=\"0.01\", expect_size=\"46610432\"] \n  13 [size=\"70348800\", alpha=\"0.14\", expect_size=\"35174400\"] \n  13 -> 16 [size =\"35174400\"]\n  13 -> 17 [size =\"35174400\"]\n  14 [size=\"51662848\", alpha=\"0.07\", expect_size=\"25831424\"] \n  14 -> 16 [size =\"25831424\"]\n  14 -> 17 [size =\"25831424\"]\n  14 -> 18 [size =\"25831424\"]\n  15 [size=\"50354176\", alpha=\"0.10\", expect_size=\"25177088\"] \n  15 -> 16 [size =\"25177088\"]\n  15 -> 18 [size =\"25177088\"]\n  16 [size=\"79579136\", alpha=\"0.00\", expect_size=\"39789568\"] \n  16 -> 19 [size =\"39789568\"]\n  16 -> 20 [size =\"39789568\"]\n  17 [size=\"38486016\", alpha=\"0.02\", expect_size=\"19243008\"] \n  18 [size=\"90316800\", alpha=\"0.18\", expect_size=\"45158400\"] \n  18 -> 20 [size =\"45158400\"]\n  19 [size=\"59957248\", alpha=\"0.06\", expect_size=\"29978624\"] \n  20 [size=\"68089856\", alpha=\"0.19\", expect_size=\"34044928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103856640\", alpha=\"0.19\", expect_size=\"41542656\"] \n  1 -> 3 [size =\"41542656\"]\n  2 [size=\"15173120\", alpha=\"0.18\", expect_size=\"6069248\"] \n  3 [size=\"125644800\", alpha=\"0.06\", expect_size=\"50257920\"] \n  3 -> 4 [size =\"50257920\"]\n  4 [size=\"124106240\", alpha=\"0.10\", expect_size=\"49642496\"] \n  4 -> 5 [size =\"49642496\"]\n  5 [size=\"81016320\", alpha=\"0.10\", expect_size=\"32406528\"] \n  5 -> 6 [size =\"32406528\"]\n  6 [size=\"73789440\", alpha=\"0.06\", expect_size=\"29515776\"] \n  6 -> 7 [size =\"29515776\"]\n  6 -> 8 [size =\"29515776\"]\n  7 [size=\"50385920\", alpha=\"0.06\", expect_size=\"20154368\"] \n  7 -> 10 [size =\"20154368\"]\n  8 [size=\"97198080\", alpha=\"0.20\", expect_size=\"38879232\"] \n  8 -> 9 [size =\"38879232\"]\n  9 [size=\"47559680\", alpha=\"0.06\", expect_size=\"19023872\"] \n  9 -> 11 [size =\"19023872\"]\n  10 [size=\"126215680\", alpha=\"0.18\", expect_size=\"50486272\"] \n  10 -> 12 [size =\"50486272\"]\n  11 [size=\"25738240\", alpha=\"0.04\", expect_size=\"10295296\"] \n  11 -> 13 [size =\"10295296\"]\n  12 [size=\"20349440\", alpha=\"0.04\", expect_size=\"8139776\"] \n  12 -> 13 [size =\"8139776\"]\n  13 [size=\"128529920\", alpha=\"0.13\", expect_size=\"51411968\"] \n  13 -> 14 [size =\"51411968\"]\n  13 -> 15 [size =\"51411968\"]\n  14 [size=\"47452160\", alpha=\"0.20\", expect_size=\"18980864\"] \n  14 -> 17 [size =\"18980864\"]\n  15 [size=\"109271040\", alpha=\"0.19\", expect_size=\"43708416\"] \n  15 -> 16 [size =\"43708416\"]\n  15 -> 17 [size =\"43708416\"]\n  16 [size=\"48243200\", alpha=\"0.16\", expect_size=\"19297280\"] \n  16 -> 18 [size =\"19297280\"]\n  16 -> 19 [size =\"19297280\"]\n  17 [size=\"83796480\", alpha=\"0.17\", expect_size=\"33518592\"] \n  17 -> 19 [size =\"33518592\"]\n  18 [size=\"120279040\", alpha=\"0.02\", expect_size=\"48111616\"] \n  18 -> 20 [size =\"48111616\"]\n  19 [size=\"117345280\", alpha=\"0.00\", expect_size=\"46938112\"] \n  20 [size=\"34757120\", alpha=\"0.10\", expect_size=\"13902848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122895360\", alpha=\"0.12\", expect_size=\"49158144\"] \n  1 -> 3 [size =\"49158144\"]\n  1 -> 4 [size =\"49158144\"]\n  2 [size=\"119841280\", alpha=\"0.17\", expect_size=\"47936512\"] \n  2 -> 3 [size =\"47936512\"]\n  2 -> 4 [size =\"47936512\"]\n  3 [size=\"103674880\", alpha=\"0.18\", expect_size=\"41469952\"] \n  3 -> 5 [size =\"41469952\"]\n  3 -> 6 [size =\"41469952\"]\n  4 [size=\"77076480\", alpha=\"0.15\", expect_size=\"30830592\"] \n  5 [size=\"83640320\", alpha=\"0.07\", expect_size=\"33456128\"] \n  5 -> 7 [size =\"33456128\"]\n  5 -> 8 [size =\"33456128\"]\n  6 [size=\"18705920\", alpha=\"0.11\", expect_size=\"7482368\"] \n  7 [size=\"117662720\", alpha=\"0.14\", expect_size=\"47065088\"] \n  7 -> 9 [size =\"47065088\"]\n  7 -> 10 [size =\"47065088\"]\n  7 -> 12 [size =\"47065088\"]\n  8 [size=\"63989760\", alpha=\"0.14\", expect_size=\"25595904\"] \n  8 -> 10 [size =\"25595904\"]\n  8 -> 11 [size =\"25595904\"]\n  9 [size=\"71042560\", alpha=\"0.15\", expect_size=\"28417024\"] \n  9 -> 13 [size =\"28417024\"]\n  9 -> 14 [size =\"28417024\"]\n  10 [size=\"22220800\", alpha=\"0.11\", expect_size=\"8888320\"] \n  11 [size=\"47464960\", alpha=\"0.17\", expect_size=\"18985984\"] \n  11 -> 14 [size =\"18985984\"]\n  12 [size=\"119546880\", alpha=\"0.06\", expect_size=\"47818752\"] \n  12 -> 14 [size =\"47818752\"]\n  13 [size=\"103966720\", alpha=\"0.14\", expect_size=\"41586688\"] \n  13 -> 16 [size =\"41586688\"]\n  13 -> 17 [size =\"41586688\"]\n  13 -> 18 [size =\"41586688\"]\n  13 -> 19 [size =\"41586688\"]\n  14 [size=\"89223680\", alpha=\"0.20\", expect_size=\"35689472\"] \n  14 -> 15 [size =\"35689472\"]\n  14 -> 16 [size =\"35689472\"]\n  14 -> 18 [size =\"35689472\"]\n  14 -> 19 [size =\"35689472\"]\n  15 [size=\"62210560\", alpha=\"0.08\", expect_size=\"24884224\"] \n  15 -> 20 [size =\"24884224\"]\n  16 [size=\"102174720\", alpha=\"0.07\", expect_size=\"40869888\"] \n  16 -> 20 [size =\"40869888\"]\n  17 [size=\"46154240\", alpha=\"0.15\", expect_size=\"18461696\"] \n  17 -> 20 [size =\"18461696\"]\n  18 [size=\"127385600\", alpha=\"0.05\", expect_size=\"50954240\"] \n  18 -> 20 [size =\"50954240\"]\n  19 [size=\"92569600\", alpha=\"0.17\", expect_size=\"37027840\"] \n  20 [size=\"61813760\", alpha=\"0.12\", expect_size=\"24725504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110361600\", alpha=\"0.07\", expect_size=\"44144640\"] \n  1 -> 17 [size =\"44144640\"]\n  2 [size=\"130096640\", alpha=\"0.18\", expect_size=\"52038656\"] \n  2 -> 18 [size =\"52038656\"]\n  3 [size=\"90854400\", alpha=\"0.13\", expect_size=\"36341760\"] \n  3 -> 16 [size =\"36341760\"]\n  3 -> 17 [size =\"36341760\"]\n  3 -> 18 [size =\"36341760\"]\n  3 -> 19 [size =\"36341760\"]\n  4 [size=\"79208960\", alpha=\"0.12\", expect_size=\"31683584\"] \n  4 -> 16 [size =\"31683584\"]\n  4 -> 18 [size =\"31683584\"]\n  4 -> 18 [size =\"31683584\"]\n  5 [size=\"41889280\", alpha=\"0.12\", expect_size=\"16755712\"] \n  5 -> 18 [size =\"16755712\"]\n  5 -> 19 [size =\"16755712\"]\n  6 [size=\"85230080\", alpha=\"0.09\", expect_size=\"34092032\"] \n  6 -> 16 [size =\"34092032\"]\n  6 -> 18 [size =\"34092032\"]\n  7 [size=\"119521280\", alpha=\"0.13\", expect_size=\"47808512\"] \n  7 -> 16 [size =\"47808512\"]\n  7 -> 18 [size =\"47808512\"]\n  7 -> 20 [size =\"47808512\"]\n  8 [size=\"18992640\", alpha=\"0.19\", expect_size=\"7597056\"] \n  8 -> 16 [size =\"7597056\"]\n  8 -> 18 [size =\"7597056\"]\n  8 -> 19 [size =\"7597056\"]\n  8 -> 20 [size =\"7597056\"]\n  9 [size=\"42263040\", alpha=\"0.12\", expect_size=\"16905216\"] \n  9 -> 16 [size =\"16905216\"]\n  9 -> 18 [size =\"16905216\"]\n  10 [size=\"38231040\", alpha=\"0.11\", expect_size=\"15292416\"] \n  10 -> 16 [size =\"15292416\"]\n  10 -> 18 [size =\"15292416\"]\n  10 -> 19 [size =\"15292416\"]\n  11 [size=\"63879680\", alpha=\"0.17\", expect_size=\"25551872\"] \n  11 -> 17 [size =\"25551872\"]\n  11 -> 18 [size =\"25551872\"]\n  12 [size=\"102638080\", alpha=\"0.12\", expect_size=\"41055232\"] \n  12 -> 16 [size =\"41055232\"]\n  12 -> 17 [size =\"41055232\"]\n  12 -> 18 [size =\"41055232\"]\n  12 -> 20 [size =\"41055232\"]\n  13 [size=\"91015680\", alpha=\"0.06\", expect_size=\"36406272\"] \n  13 -> 16 [size =\"36406272\"]\n  13 -> 18 [size =\"36406272\"]\n  14 [size=\"50624000\", alpha=\"0.17\", expect_size=\"20249600\"] \n  14 -> 17 [size =\"20249600\"]\n  15 [size=\"119654400\", alpha=\"0.11\", expect_size=\"47861760\"] \n  15 -> 16 [size =\"47861760\"]\n  16 [size=\"74037760\", alpha=\"0.12\", expect_size=\"29615104\"] \n  17 [size=\"125027840\", alpha=\"0.15\", expect_size=\"50011136\"] \n  18 [size=\"85649920\", alpha=\"0.13\", expect_size=\"34259968\"] \n  19 [size=\"81064960\", alpha=\"0.07\", expect_size=\"32425984\"] \n  20 [size=\"31577600\", alpha=\"0.07\", expect_size=\"12631040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120965120\", alpha=\"0.02\", expect_size=\"36289536\"] \n  1 -> 4 [size =\"36289536\"]\n  2 [size=\"129798827\", alpha=\"0.08\", expect_size=\"38939648\"] \n  2 -> 3 [size =\"38939648\"]\n  2 -> 4 [size =\"38939648\"]\n  3 [size=\"145083733\", alpha=\"0.08\", expect_size=\"43525120\"] \n  4 [size=\"108414293\", alpha=\"0.18\", expect_size=\"32524288\"] \n  4 -> 5 [size =\"32524288\"]\n  4 -> 6 [size =\"32524288\"]\n  4 -> 7 [size =\"32524288\"]\n  5 [size=\"62027093\", alpha=\"0.05\", expect_size=\"18608128\"] \n  5 -> 8 [size =\"18608128\"]\n  5 -> 11 [size =\"18608128\"]\n  6 [size=\"96423253\", alpha=\"0.13\", expect_size=\"28926976\"] \n  6 -> 10 [size =\"28926976\"]\n  7 [size=\"78209707\", alpha=\"0.12\", expect_size=\"23462912\"] \n  7 -> 8 [size =\"23462912\"]\n  7 -> 9 [size =\"23462912\"]\n  7 -> 11 [size =\"23462912\"]\n  8 [size=\"121992533\", alpha=\"0.01\", expect_size=\"36597760\"] \n  9 [size=\"157569707\", alpha=\"0.09\", expect_size=\"47270912\"] \n  9 -> 13 [size =\"47270912\"]\n  10 [size=\"106246827\", alpha=\"0.11\", expect_size=\"31874048\"] \n  10 -> 12 [size =\"31874048\"]\n  10 -> 13 [size =\"31874048\"]\n  11 [size=\"90173440\", alpha=\"0.02\", expect_size=\"27052032\"] \n  12 [size=\"103778987\", alpha=\"0.06\", expect_size=\"31133696\"] \n  12 -> 14 [size =\"31133696\"]\n  12 -> 15 [size =\"31133696\"]\n  13 [size=\"165184853\", alpha=\"0.17\", expect_size=\"49555456\"] \n  13 -> 14 [size =\"49555456\"]\n  13 -> 15 [size =\"49555456\"]\n  14 [size=\"70519467\", alpha=\"0.01\", expect_size=\"21155840\"] \n  14 -> 18 [size =\"21155840\"]\n  14 -> 19 [size =\"21155840\"]\n  14 -> 20 [size =\"21155840\"]\n  15 [size=\"50940587\", alpha=\"0.05\", expect_size=\"15282176\"] \n  15 -> 16 [size =\"15282176\"]\n  15 -> 17 [size =\"15282176\"]\n  16 [size=\"87343787\", alpha=\"0.16\", expect_size=\"26203136\"] \n  17 [size=\"36075520\", alpha=\"0.15\", expect_size=\"10822656\"] \n  18 [size=\"132864000\", alpha=\"0.12\", expect_size=\"39859200\"] \n  19 [size=\"142564693\", alpha=\"0.10\", expect_size=\"42769408\"] \n  20 [size=\"59729920\", alpha=\"0.12\", expect_size=\"17918976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75137707\", alpha=\"0.15\", expect_size=\"22541312\"] \n  1 -> 2 [size =\"22541312\"]\n  1 -> 3 [size =\"22541312\"]\n  2 [size=\"39577600\", alpha=\"0.13\", expect_size=\"11873280\"] \n  2 -> 4 [size =\"11873280\"]\n  3 [size=\"91979093\", alpha=\"0.11\", expect_size=\"27593728\"] \n  3 -> 4 [size =\"27593728\"]\n  4 [size=\"136912213\", alpha=\"0.06\", expect_size=\"41073664\"] \n  4 -> 5 [size =\"41073664\"]\n  4 -> 6 [size =\"41073664\"]\n  5 [size=\"76584960\", alpha=\"0.13\", expect_size=\"22975488\"] \n  5 -> 7 [size =\"22975488\"]\n  5 -> 8 [size =\"22975488\"]\n  6 [size=\"106202453\", alpha=\"0.17\", expect_size=\"31860736\"] \n  6 -> 7 [size =\"31860736\"]\n  7 [size=\"135400107\", alpha=\"0.08\", expect_size=\"40620032\"] \n  7 -> 10 [size =\"40620032\"]\n  8 [size=\"46073173\", alpha=\"0.02\", expect_size=\"13821952\"] \n  8 -> 9 [size =\"13821952\"]\n  9 [size=\"36010667\", alpha=\"0.02\", expect_size=\"10803200\"] \n  9 -> 11 [size =\"10803200\"]\n  10 [size=\"78953813\", alpha=\"0.15\", expect_size=\"23686144\"] \n  10 -> 11 [size =\"23686144\"]\n  10 -> 12 [size =\"23686144\"]\n  11 [size=\"61259093\", alpha=\"0.09\", expect_size=\"18377728\"] \n  11 -> 13 [size =\"18377728\"]\n  11 -> 14 [size =\"18377728\"]\n  12 [size=\"18954240\", alpha=\"0.19\", expect_size=\"5686272\"] \n  12 -> 13 [size =\"5686272\"]\n  13 [size=\"120299520\", alpha=\"0.04\", expect_size=\"36089856\"] \n  13 -> 15 [size =\"36089856\"]\n  14 [size=\"49814187\", alpha=\"0.16\", expect_size=\"14944256\"] \n  14 -> 15 [size =\"14944256\"]\n  15 [size=\"96689493\", alpha=\"0.04\", expect_size=\"29006848\"] \n  15 -> 16 [size =\"29006848\"]\n  16 [size=\"45352960\", alpha=\"0.20\", expect_size=\"13605888\"] \n  16 -> 17 [size =\"13605888\"]\n  16 -> 18 [size =\"13605888\"]\n  17 [size=\"21582507\", alpha=\"0.19\", expect_size=\"6474752\"] \n  18 [size=\"83565227\", alpha=\"0.17\", expect_size=\"25069568\"] \n  18 -> 19 [size =\"25069568\"]\n  18 -> 20 [size =\"25069568\"]\n  19 [size=\"98153813\", alpha=\"0.15\", expect_size=\"29446144\"] \n  20 [size=\"111820800\", alpha=\"0.20\", expect_size=\"33546240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48168960\", alpha=\"0.08\", expect_size=\"14450688\"] \n  1 -> 5 [size =\"14450688\"]\n  1 -> 6 [size =\"14450688\"]\n  1 -> 7 [size =\"14450688\"]\n  2 [size=\"20640427\", alpha=\"0.04\", expect_size=\"6192128\"] \n  2 -> 5 [size =\"6192128\"]\n  2 -> 7 [size =\"6192128\"]\n  2 -> 7 [size =\"6192128\"]\n  3 [size=\"122702507\", alpha=\"0.14\", expect_size=\"36810752\"] \n  3 -> 4 [size =\"36810752\"]\n  4 [size=\"26842453\", alpha=\"0.13\", expect_size=\"8052736\"] \n  4 -> 8 [size =\"8052736\"]\n  4 -> 10 [size =\"8052736\"]\n  5 [size=\"74089813\", alpha=\"0.04\", expect_size=\"22226944\"] \n  5 -> 8 [size =\"22226944\"]\n  5 -> 9 [size =\"22226944\"]\n  6 [size=\"75308373\", alpha=\"0.01\", expect_size=\"22592512\"] \n  7 [size=\"70154240\", alpha=\"0.12\", expect_size=\"21046272\"] \n  7 -> 10 [size =\"21046272\"]\n  8 [size=\"89057280\", alpha=\"0.10\", expect_size=\"26717184\"] \n  8 -> 12 [size =\"26717184\"]\n  8 -> 13 [size =\"26717184\"]\n  8 -> 14 [size =\"26717184\"]\n  9 [size=\"171909120\", alpha=\"0.07\", expect_size=\"51572736\"] \n  9 -> 11 [size =\"51572736\"]\n  9 -> 12 [size =\"51572736\"]\n  9 -> 13 [size =\"51572736\"]\n  9 -> 14 [size =\"51572736\"]\n  10 [size=\"20510720\", alpha=\"0.18\", expect_size=\"6153216\"] \n  10 -> 13 [size =\"6153216\"]\n  10 -> 14 [size =\"6153216\"]\n  11 [size=\"158576640\", alpha=\"0.10\", expect_size=\"47572992\"] \n  11 -> 15 [size =\"47572992\"]\n  11 -> 18 [size =\"47572992\"]\n  12 [size=\"61726720\", alpha=\"0.14\", expect_size=\"18518016\"] \n  12 -> 16 [size =\"18518016\"]\n  13 [size=\"95016960\", alpha=\"0.10\", expect_size=\"28505088\"] \n  13 -> 15 [size =\"28505088\"]\n  13 -> 16 [size =\"28505088\"]\n  14 [size=\"50152107\", alpha=\"0.07\", expect_size=\"15045632\"] \n  14 -> 15 [size =\"15045632\"]\n  14 -> 16 [size =\"15045632\"]\n  14 -> 17 [size =\"15045632\"]\n  14 -> 18 [size =\"15045632\"]\n  15 [size=\"156091733\", alpha=\"0.09\", expect_size=\"46827520\"] \n  15 -> 19 [size =\"46827520\"]\n  15 -> 20 [size =\"46827520\"]\n  16 [size=\"29873493\", alpha=\"0.08\", expect_size=\"8962048\"] \n  16 -> 20 [size =\"8962048\"]\n  17 [size=\"36396373\", alpha=\"0.16\", expect_size=\"10918912\"] \n  17 -> 19 [size =\"10918912\"]\n  18 [size=\"129931947\", alpha=\"0.15\", expect_size=\"38979584\"] \n  18 -> 19 [size =\"38979584\"]\n  18 -> 20 [size =\"38979584\"]\n  19 [size=\"47902720\", alpha=\"0.03\", expect_size=\"14370816\"] \n  20 [size=\"102990507\", alpha=\"0.02\", expect_size=\"30897152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69519360\", alpha=\"0.18\", expect_size=\"20855808\"] \n  1 -> 2 [size =\"20855808\"]\n  2 [size=\"60026880\", alpha=\"0.07\", expect_size=\"18008064\"] \n  2 -> 3 [size =\"18008064\"]\n  3 [size=\"174592000\", alpha=\"0.03\", expect_size=\"52377600\"] \n  3 -> 4 [size =\"52377600\"]\n  4 [size=\"31378773\", alpha=\"0.05\", expect_size=\"9413632\"] \n  4 -> 5 [size =\"9413632\"]\n  5 [size=\"62068053\", alpha=\"0.20\", expect_size=\"18620416\"] \n  5 -> 6 [size =\"18620416\"]\n  6 [size=\"130010453\", alpha=\"0.08\", expect_size=\"39003136\"] \n  6 -> 7 [size =\"39003136\"]\n  7 [size=\"156897280\", alpha=\"0.02\", expect_size=\"47069184\"] \n  7 -> 8 [size =\"47069184\"]\n  8 [size=\"33242453\", alpha=\"0.11\", expect_size=\"9972736\"] \n  8 -> 9 [size =\"9972736\"]\n  9 [size=\"174076587\", alpha=\"0.00\", expect_size=\"52222976\"] \n  9 -> 10 [size =\"52222976\"]\n  10 [size=\"48680960\", alpha=\"0.15\", expect_size=\"14604288\"] \n  10 -> 11 [size =\"14604288\"]\n  11 [size=\"33488213\", alpha=\"0.14\", expect_size=\"10046464\"] \n  11 -> 12 [size =\"10046464\"]\n  12 [size=\"172458667\", alpha=\"0.10\", expect_size=\"51737600\"] \n  12 -> 13 [size =\"51737600\"]\n  13 [size=\"68304213\", alpha=\"0.16\", expect_size=\"20491264\"] \n  13 -> 14 [size =\"20491264\"]\n  14 [size=\"89825280\", alpha=\"0.10\", expect_size=\"26947584\"] \n  14 -> 15 [size =\"26947584\"]\n  15 [size=\"127627947\", alpha=\"0.07\", expect_size=\"38288384\"] \n  15 -> 16 [size =\"38288384\"]\n  16 [size=\"124446720\", alpha=\"0.20\", expect_size=\"37334016\"] \n  16 -> 17 [size =\"37334016\"]\n  17 [size=\"28883627\", alpha=\"0.02\", expect_size=\"8665088\"] \n  17 -> 18 [size =\"8665088\"]\n  18 [size=\"40888320\", alpha=\"0.16\", expect_size=\"12266496\"] \n  18 -> 19 [size =\"12266496\"]\n  19 [size=\"125996373\", alpha=\"0.13\", expect_size=\"37798912\"] \n  19 -> 20 [size =\"37798912\"]\n  20 [size=\"127808853\", alpha=\"0.14\", expect_size=\"38342656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93171712\", alpha=\"0.05\", expect_size=\"46585856\"] \n  2 [size=\"22814720\", alpha=\"0.02\", expect_size=\"11407360\"] \n  2 -> 14 [size =\"11407360\"]\n  2 -> 16 [size =\"11407360\"]\n  2 -> 17 [size =\"11407360\"]\n  3 [size=\"90562560\", alpha=\"0.07\", expect_size=\"45281280\"] \n  4 [size=\"35203072\", alpha=\"0.13\", expect_size=\"17601536\"] \n  4 -> 12 [size =\"17601536\"]\n  5 [size=\"93845504\", alpha=\"0.04\", expect_size=\"46922752\"] \n  5 -> 12 [size =\"46922752\"]\n  6 [size=\"68550656\", alpha=\"0.09\", expect_size=\"34275328\"] \n  6 -> 12 [size =\"34275328\"]\n  6 -> 16 [size =\"34275328\"]\n  6 -> 17 [size =\"34275328\"]\n  7 [size=\"16502784\", alpha=\"0.10\", expect_size=\"8251392\"] \n  7 -> 12 [size =\"8251392\"]\n  7 -> 15 [size =\"8251392\"]\n  7 -> 17 [size =\"8251392\"]\n  8 [size=\"79230976\", alpha=\"0.18\", expect_size=\"39615488\"] \n  8 -> 12 [size =\"39615488\"]\n  8 -> 15 [size =\"39615488\"]\n  8 -> 16 [size =\"39615488\"]\n  8 -> 17 [size =\"39615488\"]\n  9 [size=\"77244416\", alpha=\"0.14\", expect_size=\"38622208\"] \n  9 -> 14 [size =\"38622208\"]\n  9 -> 17 [size =\"38622208\"]\n  9 -> 18 [size =\"38622208\"]\n  10 [size=\"49219584\", alpha=\"0.14\", expect_size=\"24609792\"] \n  10 -> 13 [size =\"24609792\"]\n  10 -> 16 [size =\"24609792\"]\n  10 -> 17 [size =\"24609792\"]\n  11 [size=\"24774656\", alpha=\"0.10\", expect_size=\"12387328\"] \n  11 -> 14 [size =\"12387328\"]\n  12 [size=\"48623616\", alpha=\"0.15\", expect_size=\"24311808\"] \n  13 [size=\"57708544\", alpha=\"0.20\", expect_size=\"28854272\"] \n  13 -> 20 [size =\"28854272\"]\n  14 [size=\"90497024\", alpha=\"0.10\", expect_size=\"45248512\"] \n  15 [size=\"59088896\", alpha=\"0.01\", expect_size=\"29544448\"] \n  16 [size=\"79288320\", alpha=\"0.05\", expect_size=\"39644160\"] \n  16 -> 19 [size =\"39644160\"]\n  17 [size=\"29016064\", alpha=\"0.01\", expect_size=\"14508032\"] \n  18 [size=\"76449792\", alpha=\"0.06\", expect_size=\"38224896\"] \n  18 -> 19 [size =\"38224896\"]\n  19 [size=\"67581952\", alpha=\"0.03\", expect_size=\"33790976\"] \n  20 [size=\"39354368\", alpha=\"0.05\", expect_size=\"19677184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54960640\", alpha=\"0.03\", expect_size=\"21984256\"] \n  1 -> 16 [size =\"21984256\"]\n  1 -> 18 [size =\"21984256\"]\n  1 -> 19 [size =\"21984256\"]\n  2 [size=\"37250560\", alpha=\"0.17\", expect_size=\"14900224\"] \n  2 -> 15 [size =\"14900224\"]\n  2 -> 19 [size =\"14900224\"]\n  2 -> 19 [size =\"14900224\"]\n  3 [size=\"39024640\", alpha=\"0.15\", expect_size=\"15609856\"] \n  3 -> 17 [size =\"15609856\"]\n  3 -> 18 [size =\"15609856\"]\n  3 -> 19 [size =\"15609856\"]\n  3 -> 20 [size =\"15609856\"]\n  4 [size=\"35077120\", alpha=\"0.12\", expect_size=\"14030848\"] \n  4 -> 17 [size =\"14030848\"]\n  4 -> 20 [size =\"14030848\"]\n  5 [size=\"91955200\", alpha=\"0.19\", expect_size=\"36782080\"] \n  5 -> 20 [size =\"36782080\"]\n  6 [size=\"44264960\", alpha=\"0.11\", expect_size=\"17705984\"] \n  6 -> 15 [size =\"17705984\"]\n  6 -> 16 [size =\"17705984\"]\n  6 -> 20 [size =\"17705984\"]\n  7 [size=\"88337920\", alpha=\"0.04\", expect_size=\"35335168\"] \n  7 -> 16 [size =\"35335168\"]\n  7 -> 18 [size =\"35335168\"]\n  7 -> 19 [size =\"35335168\"]\n  8 [size=\"104581120\", alpha=\"0.15\", expect_size=\"41832448\"] \n  8 -> 18 [size =\"41832448\"]\n  9 [size=\"55790080\", alpha=\"0.00\", expect_size=\"22316032\"] \n  9 -> 16 [size =\"22316032\"]\n  9 -> 17 [size =\"22316032\"]\n  9 -> 18 [size =\"22316032\"]\n  10 [size=\"115914240\", alpha=\"0.11\", expect_size=\"46365696\"] \n  10 -> 15 [size =\"46365696\"]\n  10 -> 18 [size =\"46365696\"]\n  11 [size=\"98426880\", alpha=\"0.12\", expect_size=\"39370752\"] \n  11 -> 15 [size =\"39370752\"]\n  11 -> 16 [size =\"39370752\"]\n  11 -> 18 [size =\"39370752\"]\n  11 -> 20 [size =\"39370752\"]\n  12 [size=\"118832640\", alpha=\"0.09\", expect_size=\"47533056\"] \n  12 -> 17 [size =\"47533056\"]\n  12 -> 18 [size =\"47533056\"]\n  12 -> 19 [size =\"47533056\"]\n  12 -> 20 [size =\"47533056\"]\n  13 [size=\"101916160\", alpha=\"0.09\", expect_size=\"40766464\"] \n  13 -> 19 [size =\"40766464\"]\n  14 [size=\"73361920\", alpha=\"0.01\", expect_size=\"29344768\"] \n  14 -> 17 [size =\"29344768\"]\n  14 -> 18 [size =\"29344768\"]\n  14 -> 19 [size =\"29344768\"]\n  14 -> 20 [size =\"29344768\"]\n  15 [size=\"27302400\", alpha=\"0.17\", expect_size=\"10920960\"] \n  16 [size=\"19901440\", alpha=\"0.08\", expect_size=\"7960576\"] \n  17 [size=\"85959680\", alpha=\"0.02\", expect_size=\"34383872\"] \n  18 [size=\"110192640\", alpha=\"0.06\", expect_size=\"44077056\"] \n  19 [size=\"82746880\", alpha=\"0.18\", expect_size=\"33098752\"] \n  20 [size=\"85253120\", alpha=\"0.02\", expect_size=\"34101248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100864000\", alpha=\"0.11\", expect_size=\"50432000\"] \n  1 -> 14 [size =\"50432000\"]\n  1 -> 16 [size =\"50432000\"]\n  1 -> 18 [size =\"50432000\"]\n  2 [size=\"24020992\", alpha=\"0.09\", expect_size=\"12010496\"] \n  2 -> 17 [size =\"12010496\"]\n  3 [size=\"88553472\", alpha=\"0.06\", expect_size=\"44276736\"] \n  3 -> 15 [size =\"44276736\"]\n  3 -> 18 [size =\"44276736\"]\n  4 [size=\"11046912\", alpha=\"0.14\", expect_size=\"5523456\"] \n  4 -> 15 [size =\"5523456\"]\n  4 -> 20 [size =\"5523456\"]\n  5 [size=\"24340480\", alpha=\"0.16\", expect_size=\"12170240\"] \n  5 -> 14 [size =\"12170240\"]\n  5 -> 15 [size =\"12170240\"]\n  5 -> 18 [size =\"12170240\"]\n  6 [size=\"37576704\", alpha=\"0.08\", expect_size=\"18788352\"] \n  6 -> 14 [size =\"18788352\"]\n  6 -> 15 [size =\"18788352\"]\n  6 -> 19 [size =\"18788352\"]\n  7 [size=\"36528128\", alpha=\"0.02\", expect_size=\"18264064\"] \n  7 -> 15 [size =\"18264064\"]\n  7 -> 15 [size =\"18264064\"]\n  8 [size=\"58632192\", alpha=\"0.04\", expect_size=\"29316096\"] \n  8 -> 15 [size =\"29316096\"]\n  8 -> 19 [size =\"29316096\"]\n  9 [size=\"83415040\", alpha=\"0.04\", expect_size=\"41707520\"] \n  9 -> 14 [size =\"41707520\"]\n  9 -> 15 [size =\"41707520\"]\n  9 -> 18 [size =\"41707520\"]\n  10 [size=\"56672256\", alpha=\"0.09\", expect_size=\"28336128\"] \n  10 -> 15 [size =\"28336128\"]\n  10 -> 18 [size =\"28336128\"]\n  10 -> 18 [size =\"28336128\"]\n  10 -> 19 [size =\"28336128\"]\n  11 [size=\"26152960\", alpha=\"0.12\", expect_size=\"13076480\"] \n  11 -> 17 [size =\"13076480\"]\n  11 -> 18 [size =\"13076480\"]\n  11 -> 19 [size =\"13076480\"]\n  11 -> 19 [size =\"13076480\"]\n  12 [size=\"77080576\", alpha=\"0.14\", expect_size=\"38540288\"] \n  12 -> 18 [size =\"38540288\"]\n  12 -> 19 [size =\"38540288\"]\n  12 -> 19 [size =\"38540288\"]\n  13 [size=\"24717312\", alpha=\"0.08\", expect_size=\"12358656\"] \n  13 -> 14 [size =\"12358656\"]\n  13 -> 16 [size =\"12358656\"]\n  13 -> 17 [size =\"12358656\"]\n  13 -> 18 [size =\"12358656\"]\n  13 -> 19 [size =\"12358656\"]\n  14 [size=\"50694144\", alpha=\"0.16\", expect_size=\"25347072\"] \n  15 [size=\"23457792\", alpha=\"0.10\", expect_size=\"11728896\"] \n  16 [size=\"98826240\", alpha=\"0.18\", expect_size=\"49413120\"] \n  17 [size=\"40478720\", alpha=\"0.04\", expect_size=\"20239360\"] \n  18 [size=\"50763776\", alpha=\"0.08\", expect_size=\"25381888\"] \n  19 [size=\"71866368\", alpha=\"0.18\", expect_size=\"35933184\"] \n  20 [size=\"91086848\", alpha=\"0.16\", expect_size=\"45543424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63574016\", alpha=\"0.08\", expect_size=\"31787008\"] \n  1 -> 15 [size =\"31787008\"]\n  1 -> 19 [size =\"31787008\"]\n  2 [size=\"18452480\", alpha=\"0.01\", expect_size=\"9226240\"] \n  2 -> 16 [size =\"9226240\"]\n  2 -> 18 [size =\"9226240\"]\n  3 [size=\"98936832\", alpha=\"0.16\", expect_size=\"49468416\"] \n  3 -> 16 [size =\"49468416\"]\n  3 -> 18 [size =\"49468416\"]\n  3 -> 19 [size =\"49468416\"]\n  4 [size=\"88659968\", alpha=\"0.06\", expect_size=\"44329984\"] \n  4 -> 18 [size =\"44329984\"]\n  4 -> 19 [size =\"44329984\"]\n  5 [size=\"69754880\", alpha=\"0.03\", expect_size=\"34877440\"] \n  5 -> 16 [size =\"34877440\"]\n  5 -> 19 [size =\"34877440\"]\n  6 [size=\"40005632\", alpha=\"0.14\", expect_size=\"20002816\"] \n  6 -> 14 [size =\"20002816\"]\n  6 -> 15 [size =\"20002816\"]\n  6 -> 16 [size =\"20002816\"]\n  6 -> 19 [size =\"20002816\"]\n  6 -> 20 [size =\"20002816\"]\n  7 [size=\"49819648\", alpha=\"0.10\", expect_size=\"24909824\"] \n  7 -> 14 [size =\"24909824\"]\n  7 -> 16 [size =\"24909824\"]\n  7 -> 16 [size =\"24909824\"]\n  7 -> 17 [size =\"24909824\"]\n  7 -> 19 [size =\"24909824\"]\n  8 [size=\"33808384\", alpha=\"0.03\", expect_size=\"16904192\"] \n  8 -> 14 [size =\"16904192\"]\n  8 -> 17 [size =\"16904192\"]\n  8 -> 18 [size =\"16904192\"]\n  8 -> 19 [size =\"16904192\"]\n  8 -> 19 [size =\"16904192\"]\n  9 [size=\"27963392\", alpha=\"0.17\", expect_size=\"13981696\"] \n  9 -> 14 [size =\"13981696\"]\n  9 -> 15 [size =\"13981696\"]\n  10 [size=\"67827712\", alpha=\"0.07\", expect_size=\"33913856\"] \n  10 -> 14 [size =\"33913856\"]\n  10 -> 19 [size =\"33913856\"]\n  11 [size=\"20625408\", alpha=\"0.03\", expect_size=\"10312704\"] \n  11 -> 14 [size =\"10312704\"]\n  11 -> 16 [size =\"10312704\"]\n  12 [size=\"58755072\", alpha=\"0.09\", expect_size=\"29377536\"] \n  12 -> 14 [size =\"29377536\"]\n  12 -> 15 [size =\"29377536\"]\n  12 -> 16 [size =\"29377536\"]\n  13 [size=\"61650944\", alpha=\"0.16\", expect_size=\"30825472\"] \n  13 -> 15 [size =\"30825472\"]\n  13 -> 16 [size =\"30825472\"]\n  13 -> 18 [size =\"30825472\"]\n  13 -> 19 [size =\"30825472\"]\n  14 [size=\"41713664\", alpha=\"0.20\", expect_size=\"20856832\"] \n  15 [size=\"70811648\", alpha=\"0.03\", expect_size=\"35405824\"] \n  16 [size=\"85342208\", alpha=\"0.18\", expect_size=\"42671104\"] \n  17 [size=\"56664064\", alpha=\"0.16\", expect_size=\"28332032\"] \n  18 [size=\"104196096\", alpha=\"0.19\", expect_size=\"52098048\"] \n  19 [size=\"25819136\", alpha=\"0.07\", expect_size=\"12909568\"] \n  20 [size=\"13926400\", alpha=\"0.20\", expect_size=\"6963200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15638528\", alpha=\"0.18\", expect_size=\"7819264\"] \n  1 -> 2 [size =\"7819264\"]\n  2 [size=\"55912448\", alpha=\"0.13\", expect_size=\"27956224\"] \n  2 -> 3 [size =\"27956224\"]\n  3 [size=\"19496960\", alpha=\"0.11\", expect_size=\"9748480\"] \n  3 -> 4 [size =\"9748480\"]\n  4 [size=\"78876672\", alpha=\"0.15\", expect_size=\"39438336\"] \n  4 -> 5 [size =\"39438336\"]\n  5 [size=\"15126528\", alpha=\"0.04\", expect_size=\"7563264\"] \n  5 -> 6 [size =\"7563264\"]\n  6 [size=\"87838720\", alpha=\"0.04\", expect_size=\"43919360\"] \n  6 -> 7 [size =\"43919360\"]\n  7 [size=\"51877888\", alpha=\"0.15\", expect_size=\"25938944\"] \n  7 -> 8 [size =\"25938944\"]\n  8 [size=\"80730112\", alpha=\"0.04\", expect_size=\"40365056\"] \n  8 -> 9 [size =\"40365056\"]\n  9 [size=\"72216576\", alpha=\"0.06\", expect_size=\"36108288\"] \n  9 -> 10 [size =\"36108288\"]\n  10 [size=\"26437632\", alpha=\"0.09\", expect_size=\"13218816\"] \n  10 -> 11 [size =\"13218816\"]\n  11 [size=\"75253760\", alpha=\"0.19\", expect_size=\"37626880\"] \n  11 -> 12 [size =\"37626880\"]\n  12 [size=\"66435072\", alpha=\"0.11\", expect_size=\"33217536\"] \n  12 -> 13 [size =\"33217536\"]\n  13 [size=\"31045632\", alpha=\"0.06\", expect_size=\"15522816\"] \n  13 -> 14 [size =\"15522816\"]\n  14 [size=\"83466240\", alpha=\"0.03\", expect_size=\"41733120\"] \n  14 -> 15 [size =\"41733120\"]\n  15 [size=\"59090944\", alpha=\"0.14\", expect_size=\"29545472\"] \n  15 -> 16 [size =\"29545472\"]\n  16 [size=\"76179456\", alpha=\"0.05\", expect_size=\"38089728\"] \n  16 -> 17 [size =\"38089728\"]\n  17 [size=\"95322112\", alpha=\"0.16\", expect_size=\"47661056\"] \n  17 -> 18 [size =\"47661056\"]\n  18 [size=\"70068224\", alpha=\"0.01\", expect_size=\"35034112\"] \n  18 -> 19 [size =\"35034112\"]\n  19 [size=\"89825280\", alpha=\"0.18\", expect_size=\"44912640\"] \n  19 -> 20 [size =\"44912640\"]\n  20 [size=\"21452800\", alpha=\"0.02\", expect_size=\"10726400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104547840\", alpha=\"0.03\", expect_size=\"41819136\"] \n  1 -> 13 [size =\"41819136\"]\n  1 -> 20 [size =\"41819136\"]\n  2 [size=\"127539200\", alpha=\"0.04\", expect_size=\"51015680\"] \n  2 -> 18 [size =\"51015680\"]\n  2 -> 20 [size =\"51015680\"]\n  3 [size=\"91200000\", alpha=\"0.07\", expect_size=\"36480000\"] \n  3 -> 16 [size =\"36480000\"]\n  3 -> 20 [size =\"36480000\"]\n  4 [size=\"128624640\", alpha=\"0.00\", expect_size=\"51449856\"] \n  4 -> 18 [size =\"51449856\"]\n  4 -> 19 [size =\"51449856\"]\n  4 -> 20 [size =\"51449856\"]\n  5 [size=\"24714240\", alpha=\"0.18\", expect_size=\"9885696\"] \n  5 -> 14 [size =\"9885696\"]\n  5 -> 19 [size =\"9885696\"]\n  5 -> 20 [size =\"9885696\"]\n  6 [size=\"57297920\", alpha=\"0.07\", expect_size=\"22919168\"] \n  6 -> 15 [size =\"22919168\"]\n  7 [size=\"38110720\", alpha=\"0.16\", expect_size=\"15244288\"] \n  7 -> 15 [size =\"15244288\"]\n  7 -> 19 [size =\"15244288\"]\n  8 [size=\"100226560\", alpha=\"0.02\", expect_size=\"40090624\"] \n  8 -> 15 [size =\"40090624\"]\n  8 -> 16 [size =\"40090624\"]\n  8 -> 17 [size =\"40090624\"]\n  8 -> 18 [size =\"40090624\"]\n  9 [size=\"16954880\", alpha=\"0.05\", expect_size=\"6781952\"] \n  9 -> 14 [size =\"6781952\"]\n  9 -> 20 [size =\"6781952\"]\n  10 [size=\"116108800\", alpha=\"0.13\", expect_size=\"46443520\"] \n  10 -> 13 [size =\"46443520\"]\n  10 -> 14 [size =\"46443520\"]\n  11 [size=\"75335680\", alpha=\"0.15\", expect_size=\"30134272\"] \n  11 -> 13 [size =\"30134272\"]\n  12 [size=\"92195840\", alpha=\"0.10\", expect_size=\"36878336\"] \n  12 -> 15 [size =\"36878336\"]\n  12 -> 20 [size =\"36878336\"]\n  13 [size=\"117465600\", alpha=\"0.14\", expect_size=\"46986240\"] \n  14 [size=\"38525440\", alpha=\"0.10\", expect_size=\"15410176\"] \n  15 [size=\"40962560\", alpha=\"0.20\", expect_size=\"16385024\"] \n  16 [size=\"27617280\", alpha=\"0.11\", expect_size=\"11046912\"] \n  17 [size=\"69068800\", alpha=\"0.04\", expect_size=\"27627520\"] \n  18 [size=\"48384000\", alpha=\"0.15\", expect_size=\"19353600\"] \n  19 [size=\"60011520\", alpha=\"0.19\", expect_size=\"24004608\"] \n  20 [size=\"90493440\", alpha=\"0.01\", expect_size=\"36197376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90007552\", alpha=\"0.14\", expect_size=\"45003776\"] \n  1 -> 2 [size =\"45003776\"]\n  2 [size=\"54259712\", alpha=\"0.11\", expect_size=\"27129856\"] \n  2 -> 3 [size =\"27129856\"]\n  3 [size=\"98416640\", alpha=\"0.08\", expect_size=\"49208320\"] \n  3 -> 4 [size =\"49208320\"]\n  4 [size=\"102610944\", alpha=\"0.01\", expect_size=\"51305472\"] \n  4 -> 5 [size =\"51305472\"]\n  5 [size=\"100286464\", alpha=\"0.15\", expect_size=\"50143232\"] \n  5 -> 6 [size =\"50143232\"]\n  6 [size=\"53549056\", alpha=\"0.14\", expect_size=\"26774528\"] \n  6 -> 7 [size =\"26774528\"]\n  7 [size=\"81551360\", alpha=\"0.12\", expect_size=\"40775680\"] \n  7 -> 8 [size =\"40775680\"]\n  8 [size=\"19331072\", alpha=\"0.03\", expect_size=\"9665536\"] \n  8 -> 9 [size =\"9665536\"]\n  9 [size=\"77205504\", alpha=\"0.01\", expect_size=\"38602752\"] \n  9 -> 10 [size =\"38602752\"]\n  10 [size=\"52379648\", alpha=\"0.10\", expect_size=\"26189824\"] \n  10 -> 11 [size =\"26189824\"]\n  11 [size=\"67418112\", alpha=\"0.14\", expect_size=\"33709056\"] \n  11 -> 12 [size =\"33709056\"]\n  12 [size=\"40187904\", alpha=\"0.14\", expect_size=\"20093952\"] \n  12 -> 13 [size =\"20093952\"]\n  13 [size=\"90646528\", alpha=\"0.16\", expect_size=\"45323264\"] \n  13 -> 14 [size =\"45323264\"]\n  14 [size=\"35588096\", alpha=\"0.02\", expect_size=\"17794048\"] \n  14 -> 15 [size =\"17794048\"]\n  15 [size=\"38854656\", alpha=\"0.06\", expect_size=\"19427328\"] \n  15 -> 16 [size =\"19427328\"]\n  16 [size=\"15497216\", alpha=\"0.18\", expect_size=\"7748608\"] \n  16 -> 17 [size =\"7748608\"]\n  17 [size=\"83081216\", alpha=\"0.05\", expect_size=\"41540608\"] \n  17 -> 18 [size =\"41540608\"]\n  18 [size=\"43632640\", alpha=\"0.18\", expect_size=\"21816320\"] \n  18 -> 19 [size =\"21816320\"]\n  19 [size=\"58880000\", alpha=\"0.03\", expect_size=\"29440000\"] \n  19 -> 20 [size =\"29440000\"]\n  20 [size=\"64860160\", alpha=\"0.05\", expect_size=\"32430080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35686400\", alpha=\"0.03\", expect_size=\"10705920\"] \n  2 [size=\"135608320\", alpha=\"0.11\", expect_size=\"40682496\"] \n  2 -> 7 [size =\"40682496\"]\n  2 -> 8 [size =\"40682496\"]\n  3 [size=\"46950400\", alpha=\"0.01\", expect_size=\"14085120\"] \n  3 -> 7 [size =\"14085120\"]\n  4 [size=\"145005227\", alpha=\"0.15\", expect_size=\"43501568\"] \n  4 -> 6 [size =\"43501568\"]\n  4 -> 9 [size =\"43501568\"]\n  5 [size=\"57466880\", alpha=\"0.16\", expect_size=\"17240064\"] \n  5 -> 8 [size =\"17240064\"]\n  6 [size=\"69519360\", alpha=\"0.06\", expect_size=\"20855808\"] \n  6 -> 11 [size =\"20855808\"]\n  7 [size=\"115411627\", alpha=\"0.17\", expect_size=\"34623488\"] \n  7 -> 11 [size =\"34623488\"]\n  8 [size=\"173793280\", alpha=\"0.19\", expect_size=\"52137984\"] \n  8 -> 10 [size =\"52137984\"]\n  9 [size=\"139984213\", alpha=\"0.17\", expect_size=\"41995264\"] \n  10 [size=\"142206293\", alpha=\"0.19\", expect_size=\"42661888\"] \n  10 -> 12 [size =\"42661888\"]\n  10 -> 13 [size =\"42661888\"]\n  11 [size=\"141571413\", alpha=\"0.13\", expect_size=\"42471424\"] \n  11 -> 14 [size =\"42471424\"]\n  12 [size=\"165802667\", alpha=\"0.18\", expect_size=\"49740800\"] \n  12 -> 15 [size =\"49740800\"]\n  12 -> 17 [size =\"49740800\"]\n  13 [size=\"93794987\", alpha=\"0.16\", expect_size=\"28138496\"] \n  13 -> 15 [size =\"28138496\"]\n  13 -> 16 [size =\"28138496\"]\n  14 [size=\"100406613\", alpha=\"0.05\", expect_size=\"30121984\"] \n  14 -> 16 [size =\"30121984\"]\n  15 [size=\"57944747\", alpha=\"0.07\", expect_size=\"17383424\"] \n  15 -> 19 [size =\"17383424\"]\n  15 -> 20 [size =\"17383424\"]\n  16 [size=\"24784213\", alpha=\"0.05\", expect_size=\"7435264\"] \n  16 -> 18 [size =\"7435264\"]\n  17 [size=\"70932480\", alpha=\"0.01\", expect_size=\"21279744\"] \n  17 -> 19 [size =\"21279744\"]\n  18 [size=\"50742613\", alpha=\"0.08\", expect_size=\"15222784\"] \n  19 [size=\"43270827\", alpha=\"0.13\", expect_size=\"12981248\"] \n  20 [size=\"18114560\", alpha=\"0.05\", expect_size=\"5434368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128765440\", alpha=\"0.08\", expect_size=\"51506176\"] \n  1 -> 17 [size =\"51506176\"]\n  1 -> 20 [size =\"51506176\"]\n  2 [size=\"113034240\", alpha=\"0.08\", expect_size=\"45213696\"] \n  2 -> 17 [size =\"45213696\"]\n  2 -> 18 [size =\"45213696\"]\n  2 -> 20 [size =\"45213696\"]\n  3 [size=\"116513280\", alpha=\"0.07\", expect_size=\"46605312\"] \n  3 -> 16 [size =\"46605312\"]\n  3 -> 17 [size =\"46605312\"]\n  3 -> 18 [size =\"46605312\"]\n  3 -> 20 [size =\"46605312\"]\n  4 [size=\"27048960\", alpha=\"0.04\", expect_size=\"10819584\"] \n  4 -> 15 [size =\"10819584\"]\n  4 -> 17 [size =\"10819584\"]\n  4 -> 18 [size =\"10819584\"]\n  4 -> 20 [size =\"10819584\"]\n  5 [size=\"78543360\", alpha=\"0.12\", expect_size=\"31417344\"] \n  5 -> 17 [size =\"31417344\"]\n  5 -> 17 [size =\"31417344\"]\n  5 -> 18 [size =\"31417344\"]\n  5 -> 20 [size =\"31417344\"]\n  6 [size=\"62638080\", alpha=\"0.10\", expect_size=\"25055232\"] \n  6 -> 15 [size =\"25055232\"]\n  6 -> 17 [size =\"25055232\"]\n  6 -> 18 [size =\"25055232\"]\n  6 -> 19 [size =\"25055232\"]\n  6 -> 20 [size =\"25055232\"]\n  7 [size=\"129617920\", alpha=\"0.13\", expect_size=\"51847168\"] \n  7 -> 15 [size =\"51847168\"]\n  7 -> 17 [size =\"51847168\"]\n  8 [size=\"96519680\", alpha=\"0.10\", expect_size=\"38607872\"] \n  8 -> 17 [size =\"38607872\"]\n  8 -> 17 [size =\"38607872\"]\n  9 [size=\"54778880\", alpha=\"0.12\", expect_size=\"21911552\"] \n  9 -> 17 [size =\"21911552\"]\n  9 -> 20 [size =\"21911552\"]\n  10 [size=\"25753600\", alpha=\"0.09\", expect_size=\"10301440\"] \n  10 -> 15 [size =\"10301440\"]\n  10 -> 17 [size =\"10301440\"]\n  10 -> 19 [size =\"10301440\"]\n  10 -> 20 [size =\"10301440\"]\n  11 [size=\"61534720\", alpha=\"0.16\", expect_size=\"24613888\"] \n  11 -> 18 [size =\"24613888\"]\n  12 [size=\"105797120\", alpha=\"0.10\", expect_size=\"42318848\"] \n  12 -> 18 [size =\"42318848\"]\n  13 [size=\"33825280\", alpha=\"0.01\", expect_size=\"13530112\"] \n  13 -> 15 [size =\"13530112\"]\n  13 -> 18 [size =\"13530112\"]\n  14 [size=\"76715520\", alpha=\"0.08\", expect_size=\"30686208\"] \n  14 -> 15 [size =\"30686208\"]\n  14 -> 20 [size =\"30686208\"]\n  15 [size=\"102881280\", alpha=\"0.05\", expect_size=\"41152512\"] \n  16 [size=\"56445440\", alpha=\"0.12\", expect_size=\"22578176\"] \n  17 [size=\"114321920\", alpha=\"0.08\", expect_size=\"45728768\"] \n  18 [size=\"70241280\", alpha=\"0.17\", expect_size=\"28096512\"] \n  19 [size=\"129738240\", alpha=\"0.06\", expect_size=\"51895296\"] \n  20 [size=\"84295680\", alpha=\"0.07\", expect_size=\"33718272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49848320\", alpha=\"0.10\", expect_size=\"24924160\"] \n  1 -> 5 [size =\"24924160\"]\n  1 -> 6 [size =\"24924160\"]\n  2 [size=\"78008320\", alpha=\"0.19\", expect_size=\"39004160\"] \n  2 -> 5 [size =\"39004160\"]\n  3 [size=\"76326912\", alpha=\"0.01\", expect_size=\"38163456\"] \n  3 -> 5 [size =\"38163456\"]\n  3 -> 6 [size =\"38163456\"]\n  4 [size=\"34588672\", alpha=\"0.19\", expect_size=\"17294336\"] \n  4 -> 5 [size =\"17294336\"]\n  4 -> 6 [size =\"17294336\"]\n  4 -> 7 [size =\"17294336\"]\n  5 [size=\"32102400\", alpha=\"0.13\", expect_size=\"16051200\"] \n  5 -> 8 [size =\"16051200\"]\n  5 -> 9 [size =\"16051200\"]\n  5 -> 10 [size =\"16051200\"]\n  5 -> 11 [size =\"16051200\"]\n  6 [size=\"53776384\", alpha=\"0.19\", expect_size=\"26888192\"] \n  6 -> 8 [size =\"26888192\"]\n  6 -> 10 [size =\"26888192\"]\n  6 -> 11 [size =\"26888192\"]\n  7 [size=\"51539968\", alpha=\"0.16\", expect_size=\"25769984\"] \n  7 -> 8 [size =\"25769984\"]\n  7 -> 10 [size =\"25769984\"]\n  7 -> 11 [size =\"25769984\"]\n  8 [size=\"45885440\", alpha=\"0.15\", expect_size=\"22942720\"] \n  8 -> 12 [size =\"22942720\"]\n  8 -> 13 [size =\"22942720\"]\n  8 -> 14 [size =\"22942720\"]\n  9 [size=\"87318528\", alpha=\"0.18\", expect_size=\"43659264\"] \n  9 -> 12 [size =\"43659264\"]\n  9 -> 13 [size =\"43659264\"]\n  9 -> 14 [size =\"43659264\"]\n  10 [size=\"48803840\", alpha=\"0.03\", expect_size=\"24401920\"] \n  10 -> 12 [size =\"24401920\"]\n  10 -> 13 [size =\"24401920\"]\n  10 -> 14 [size =\"24401920\"]\n  11 [size=\"76742656\", alpha=\"0.13\", expect_size=\"38371328\"] \n  11 -> 12 [size =\"38371328\"]\n  11 -> 14 [size =\"38371328\"]\n  12 [size=\"29198336\", alpha=\"0.10\", expect_size=\"14599168\"] \n  12 -> 15 [size =\"14599168\"]\n  12 -> 17 [size =\"14599168\"]\n  13 [size=\"24688640\", alpha=\"0.17\", expect_size=\"12344320\"] \n  13 -> 15 [size =\"12344320\"]\n  13 -> 17 [size =\"12344320\"]\n  14 [size=\"29405184\", alpha=\"0.07\", expect_size=\"14702592\"] \n  14 -> 15 [size =\"14702592\"]\n  14 -> 16 [size =\"14702592\"]\n  15 [size=\"25880576\", alpha=\"0.03\", expect_size=\"12940288\"] \n  15 -> 19 [size =\"12940288\"]\n  16 [size=\"87142400\", alpha=\"0.14\", expect_size=\"43571200\"] \n  16 -> 18 [size =\"43571200\"]\n  16 -> 19 [size =\"43571200\"]\n  16 -> 20 [size =\"43571200\"]\n  17 [size=\"84219904\", alpha=\"0.04\", expect_size=\"42109952\"] \n  17 -> 19 [size =\"42109952\"]\n  18 [size=\"64964608\", alpha=\"0.00\", expect_size=\"32482304\"] \n  19 [size=\"42514432\", alpha=\"0.08\", expect_size=\"21257216\"] \n  20 [size=\"32729088\", alpha=\"0.16\", expect_size=\"16364544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23003136\", alpha=\"0.02\", expect_size=\"11501568\"] \n  1 -> 5 [size =\"11501568\"]\n  2 [size=\"93272064\", alpha=\"0.15\", expect_size=\"46636032\"] \n  2 -> 6 [size =\"46636032\"]\n  3 [size=\"56862720\", alpha=\"0.11\", expect_size=\"28431360\"] \n  3 -> 5 [size =\"28431360\"]\n  3 -> 6 [size =\"28431360\"]\n  3 -> 7 [size =\"28431360\"]\n  4 [size=\"25995264\", alpha=\"0.10\", expect_size=\"12997632\"] \n  4 -> 7 [size =\"12997632\"]\n  5 [size=\"20258816\", alpha=\"0.06\", expect_size=\"10129408\"] \n  5 -> 10 [size =\"10129408\"]\n  6 [size=\"62705664\", alpha=\"0.04\", expect_size=\"31352832\"] \n  6 -> 9 [size =\"31352832\"]\n  6 -> 10 [size =\"31352832\"]\n  7 [size=\"93360128\", alpha=\"0.04\", expect_size=\"46680064\"] \n  7 -> 8 [size =\"46680064\"]\n  7 -> 9 [size =\"46680064\"]\n  7 -> 10 [size =\"46680064\"]\n  8 [size=\"81020928\", alpha=\"0.17\", expect_size=\"40510464\"] \n  8 -> 11 [size =\"40510464\"]\n  8 -> 12 [size =\"40510464\"]\n  8 -> 13 [size =\"40510464\"]\n  8 -> 14 [size =\"40510464\"]\n  9 [size=\"59975680\", alpha=\"0.07\", expect_size=\"29987840\"] \n  9 -> 11 [size =\"29987840\"]\n  9 -> 12 [size =\"29987840\"]\n  9 -> 14 [size =\"29987840\"]\n  10 [size=\"78233600\", alpha=\"0.19\", expect_size=\"39116800\"] \n  10 -> 11 [size =\"39116800\"]\n  11 [size=\"53063680\", alpha=\"0.00\", expect_size=\"26531840\"] \n  11 -> 16 [size =\"26531840\"]\n  12 [size=\"62687232\", alpha=\"0.08\", expect_size=\"31343616\"] \n  12 -> 18 [size =\"31343616\"]\n  13 [size=\"40960000\", alpha=\"0.17\", expect_size=\"20480000\"] \n  13 -> 16 [size =\"20480000\"]\n  13 -> 17 [size =\"20480000\"]\n  13 -> 18 [size =\"20480000\"]\n  14 [size=\"90574848\", alpha=\"0.03\", expect_size=\"45287424\"] \n  14 -> 15 [size =\"45287424\"]\n  14 -> 16 [size =\"45287424\"]\n  14 -> 18 [size =\"45287424\"]\n  15 [size=\"41709568\", alpha=\"0.06\", expect_size=\"20854784\"] \n  15 -> 20 [size =\"20854784\"]\n  16 [size=\"68421632\", alpha=\"0.15\", expect_size=\"34210816\"] \n  16 -> 20 [size =\"34210816\"]\n  17 [size=\"87117824\", alpha=\"0.03\", expect_size=\"43558912\"] \n  18 [size=\"11573248\", alpha=\"0.13\", expect_size=\"5786624\"] \n  18 -> 19 [size =\"5786624\"]\n  19 [size=\"93702144\", alpha=\"0.18\", expect_size=\"46851072\"] \n  20 [size=\"30128128\", alpha=\"0.16\", expect_size=\"15064064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101529600\", alpha=\"0.02\", expect_size=\"30458880\"] \n  1 -> 2 [size =\"30458880\"]\n  1 -> 3 [size =\"30458880\"]\n  2 [size=\"127320747\", alpha=\"0.10\", expect_size=\"38196224\"] \n  2 -> 4 [size =\"38196224\"]\n  3 [size=\"90548907\", alpha=\"0.03\", expect_size=\"27164672\"] \n  3 -> 4 [size =\"27164672\"]\n  3 -> 5 [size =\"27164672\"]\n  4 [size=\"72014507\", alpha=\"0.17\", expect_size=\"21604352\"] \n  4 -> 6 [size =\"21604352\"]\n  4 -> 7 [size =\"21604352\"]\n  5 [size=\"156593493\", alpha=\"0.13\", expect_size=\"46978048\"] \n  5 -> 6 [size =\"46978048\"]\n  6 [size=\"45021867\", alpha=\"0.15\", expect_size=\"13506560\"] \n  7 [size=\"121801387\", alpha=\"0.11\", expect_size=\"36540416\"] \n  7 -> 8 [size =\"36540416\"]\n  8 [size=\"87552000\", alpha=\"0.05\", expect_size=\"26265600\"] \n  8 -> 9 [size =\"26265600\"]\n  8 -> 10 [size =\"26265600\"]\n  9 [size=\"143510187\", alpha=\"0.09\", expect_size=\"43053056\"] \n  9 -> 11 [size =\"43053056\"]\n  10 [size=\"72359253\", alpha=\"0.11\", expect_size=\"21707776\"] \n  11 [size=\"40116907\", alpha=\"0.01\", expect_size=\"12035072\"] \n  11 -> 12 [size =\"12035072\"]\n  11 -> 13 [size =\"12035072\"]\n  12 [size=\"53398187\", alpha=\"0.01\", expect_size=\"16019456\"] \n  12 -> 14 [size =\"16019456\"]\n  13 [size=\"130566827\", alpha=\"0.09\", expect_size=\"39170048\"] \n  13 -> 14 [size =\"39170048\"]\n  14 [size=\"156074667\", alpha=\"0.18\", expect_size=\"46822400\"] \n  14 -> 15 [size =\"46822400\"]\n  14 -> 16 [size =\"46822400\"]\n  15 [size=\"130488320\", alpha=\"0.11\", expect_size=\"39146496\"] \n  15 -> 17 [size =\"39146496\"]\n  16 [size=\"73516373\", alpha=\"0.11\", expect_size=\"22054912\"] \n  17 [size=\"34993493\", alpha=\"0.06\", expect_size=\"10498048\"] \n  17 -> 18 [size =\"10498048\"]\n  18 [size=\"121948160\", alpha=\"0.11\", expect_size=\"36584448\"] \n  18 -> 19 [size =\"36584448\"]\n  18 -> 20 [size =\"36584448\"]\n  19 [size=\"157583360\", alpha=\"0.10\", expect_size=\"47275008\"] \n  20 [size=\"69218987\", alpha=\"0.17\", expect_size=\"20765696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32109227\", alpha=\"0.10\", expect_size=\"9632768\"] \n  1 -> 3 [size =\"9632768\"]\n  2 [size=\"174462293\", alpha=\"0.11\", expect_size=\"52338688\"] \n  2 -> 3 [size =\"52338688\"]\n  3 [size=\"154371413\", alpha=\"0.01\", expect_size=\"46311424\"] \n  3 -> 4 [size =\"46311424\"]\n  4 [size=\"58774187\", alpha=\"0.13\", expect_size=\"17632256\"] \n  4 -> 5 [size =\"17632256\"]\n  4 -> 6 [size =\"17632256\"]\n  5 [size=\"141233493\", alpha=\"0.11\", expect_size=\"42370048\"] \n  5 -> 7 [size =\"42370048\"]\n  5 -> 8 [size =\"42370048\"]\n  6 [size=\"98829653\", alpha=\"0.12\", expect_size=\"29648896\"] \n  7 [size=\"91921067\", alpha=\"0.14\", expect_size=\"27576320\"] \n  7 -> 10 [size =\"27576320\"]\n  8 [size=\"154897067\", alpha=\"0.11\", expect_size=\"46469120\"] \n  8 -> 9 [size =\"46469120\"]\n  9 [size=\"93917867\", alpha=\"0.06\", expect_size=\"28175360\"] \n  9 -> 11 [size =\"28175360\"]\n  9 -> 12 [size =\"28175360\"]\n  10 [size=\"144100693\", alpha=\"0.15\", expect_size=\"43230208\"] \n  10 -> 11 [size =\"43230208\"]\n  10 -> 12 [size =\"43230208\"]\n  11 [size=\"130228907\", alpha=\"0.18\", expect_size=\"39068672\"] \n  11 -> 13 [size =\"39068672\"]\n  12 [size=\"49367040\", alpha=\"0.09\", expect_size=\"14810112\"] \n  12 -> 13 [size =\"14810112\"]\n  12 -> 14 [size =\"14810112\"]\n  13 [size=\"133085867\", alpha=\"0.05\", expect_size=\"39925760\"] \n  14 [size=\"143267840\", alpha=\"0.20\", expect_size=\"42980352\"] \n  14 -> 15 [size =\"42980352\"]\n  15 [size=\"92006400\", alpha=\"0.16\", expect_size=\"27601920\"] \n  15 -> 16 [size =\"27601920\"]\n  15 -> 17 [size =\"27601920\"]\n  16 [size=\"17974613\", alpha=\"0.13\", expect_size=\"5392384\"] \n  17 [size=\"114810880\", alpha=\"0.05\", expect_size=\"34443264\"] \n  17 -> 18 [size =\"34443264\"]\n  18 [size=\"71294293\", alpha=\"0.14\", expect_size=\"21388288\"] \n  18 -> 19 [size =\"21388288\"]\n  18 -> 20 [size =\"21388288\"]\n  19 [size=\"161024000\", alpha=\"0.15\", expect_size=\"48307200\"] \n  20 [size=\"54094507\", alpha=\"0.10\", expect_size=\"16228352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63877120\", alpha=\"0.01\", expect_size=\"31938560\"] \n  1 -> 9 [size =\"31938560\"]\n  2 [size=\"39127040\", alpha=\"0.19\", expect_size=\"19563520\"] \n  3 [size=\"94543872\", alpha=\"0.05\", expect_size=\"47271936\"] \n  3 -> 9 [size =\"47271936\"]\n  3 -> 10 [size =\"47271936\"]\n  3 -> 12 [size =\"47271936\"]\n  3 -> 15 [size =\"47271936\"]\n  4 [size=\"95944704\", alpha=\"0.10\", expect_size=\"47972352\"] \n  4 -> 9 [size =\"47972352\"]\n  4 -> 10 [size =\"47972352\"]\n  4 -> 11 [size =\"47972352\"]\n  5 [size=\"51009536\", alpha=\"0.02\", expect_size=\"25504768\"] \n  5 -> 8 [size =\"25504768\"]\n  5 -> 9 [size =\"25504768\"]\n  6 [size=\"36108288\", alpha=\"0.15\", expect_size=\"18054144\"] \n  6 -> 10 [size =\"18054144\"]\n  6 -> 14 [size =\"18054144\"]\n  6 -> 15 [size =\"18054144\"]\n  7 [size=\"47190016\", alpha=\"0.09\", expect_size=\"23595008\"] \n  7 -> 8 [size =\"23595008\"]\n  7 -> 13 [size =\"23595008\"]\n  7 -> 14 [size =\"23595008\"]\n  7 -> 15 [size =\"23595008\"]\n  8 [size=\"35753984\", alpha=\"0.09\", expect_size=\"17876992\"] \n  9 [size=\"98678784\", alpha=\"0.05\", expect_size=\"49339392\"] \n  9 -> 17 [size =\"49339392\"]\n  10 [size=\"80046080\", alpha=\"0.04\", expect_size=\"40023040\"] \n  10 -> 18 [size =\"40023040\"]\n  11 [size=\"81188864\", alpha=\"0.19\", expect_size=\"40594432\"] \n  11 -> 19 [size =\"40594432\"]\n  12 [size=\"87005184\", alpha=\"0.16\", expect_size=\"43502592\"] \n  12 -> 17 [size =\"43502592\"]\n  12 -> 20 [size =\"43502592\"]\n  13 [size=\"81264640\", alpha=\"0.05\", expect_size=\"40632320\"] \n  13 -> 16 [size =\"40632320\"]\n  13 -> 18 [size =\"40632320\"]\n  13 -> 20 [size =\"40632320\"]\n  14 [size=\"104519680\", alpha=\"0.20\", expect_size=\"52259840\"] \n  14 -> 18 [size =\"52259840\"]\n  14 -> 20 [size =\"52259840\"]\n  15 [size=\"55631872\", alpha=\"0.09\", expect_size=\"27815936\"] \n  15 -> 18 [size =\"27815936\"]\n  15 -> 20 [size =\"27815936\"]\n  16 [size=\"62803968\", alpha=\"0.01\", expect_size=\"31401984\"] \n  17 [size=\"37081088\", alpha=\"0.14\", expect_size=\"18540544\"] \n  18 [size=\"78368768\", alpha=\"0.01\", expect_size=\"39184384\"] \n  19 [size=\"28708864\", alpha=\"0.12\", expect_size=\"14354432\"] \n  20 [size=\"54441984\", alpha=\"0.12\", expect_size=\"27220992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51253248\", alpha=\"0.01\", expect_size=\"25626624\"] \n  1 -> 4 [size =\"25626624\"]\n  1 -> 5 [size =\"25626624\"]\n  1 -> 6 [size =\"25626624\"]\n  2 [size=\"102885376\", alpha=\"0.14\", expect_size=\"51442688\"] \n  3 [size=\"43057152\", alpha=\"0.17\", expect_size=\"21528576\"] \n  3 -> 4 [size =\"21528576\"]\n  3 -> 5 [size =\"21528576\"]\n  4 [size=\"37648384\", alpha=\"0.03\", expect_size=\"18824192\"] \n  4 -> 7 [size =\"18824192\"]\n  4 -> 8 [size =\"18824192\"]\n  5 [size=\"51546112\", alpha=\"0.10\", expect_size=\"25773056\"] \n  5 -> 7 [size =\"25773056\"]\n  5 -> 8 [size =\"25773056\"]\n  6 [size=\"63578112\", alpha=\"0.04\", expect_size=\"31789056\"] \n  6 -> 9 [size =\"31789056\"]\n  7 [size=\"34885632\", alpha=\"0.06\", expect_size=\"17442816\"] \n  7 -> 10 [size =\"17442816\"]\n  7 -> 12 [size =\"17442816\"]\n  8 [size=\"79140864\", alpha=\"0.09\", expect_size=\"39570432\"] \n  8 -> 10 [size =\"39570432\"]\n  9 [size=\"92067840\", alpha=\"0.11\", expect_size=\"46033920\"] \n  9 -> 11 [size =\"46033920\"]\n  9 -> 12 [size =\"46033920\"]\n  10 [size=\"16670720\", alpha=\"0.01\", expect_size=\"8335360\"] \n  10 -> 13 [size =\"8335360\"]\n  10 -> 15 [size =\"8335360\"]\n  11 [size=\"65708032\", alpha=\"0.12\", expect_size=\"32854016\"] \n  11 -> 15 [size =\"32854016\"]\n  12 [size=\"70703104\", alpha=\"0.13\", expect_size=\"35351552\"] \n  12 -> 14 [size =\"35351552\"]\n  13 [size=\"42352640\", alpha=\"0.12\", expect_size=\"21176320\"] \n  13 -> 17 [size =\"21176320\"]\n  14 [size=\"27101184\", alpha=\"0.14\", expect_size=\"13550592\"] \n  14 -> 17 [size =\"13550592\"]\n  14 -> 18 [size =\"13550592\"]\n  15 [size=\"40855552\", alpha=\"0.01\", expect_size=\"20427776\"] \n  15 -> 16 [size =\"20427776\"]\n  16 [size=\"86425600\", alpha=\"0.05\", expect_size=\"43212800\"] \n  16 -> 19 [size =\"43212800\"]\n  16 -> 20 [size =\"43212800\"]\n  17 [size=\"11843584\", alpha=\"0.02\", expect_size=\"5921792\"] \n  17 -> 20 [size =\"5921792\"]\n  18 [size=\"40630272\", alpha=\"0.00\", expect_size=\"20315136\"] \n  19 [size=\"82610176\", alpha=\"0.03\", expect_size=\"41305088\"] \n  20 [size=\"40867840\", alpha=\"0.07\", expect_size=\"20433920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65008640\", alpha=\"0.13\", expect_size=\"26003456\"] \n  1 -> 2 [size =\"26003456\"]\n  2 [size=\"86584320\", alpha=\"0.05\", expect_size=\"34633728\"] \n  2 -> 3 [size =\"34633728\"]\n  3 [size=\"13639680\", alpha=\"0.09\", expect_size=\"5455872\"] \n  3 -> 4 [size =\"5455872\"]\n  3 -> 5 [size =\"5455872\"]\n  4 [size=\"120120320\", alpha=\"0.14\", expect_size=\"48048128\"] \n  4 -> 6 [size =\"48048128\"]\n  5 [size=\"106900480\", alpha=\"0.18\", expect_size=\"42760192\"] \n  6 [size=\"72903680\", alpha=\"0.06\", expect_size=\"29161472\"] \n  6 -> 7 [size =\"29161472\"]\n  6 -> 8 [size =\"29161472\"]\n  7 [size=\"83210240\", alpha=\"0.02\", expect_size=\"33284096\"] \n  7 -> 9 [size =\"33284096\"]\n  8 [size=\"18667520\", alpha=\"0.07\", expect_size=\"7467008\"] \n  9 [size=\"80222720\", alpha=\"0.02\", expect_size=\"32089088\"] \n  9 -> 10 [size =\"32089088\"]\n  9 -> 11 [size =\"32089088\"]\n  10 [size=\"80007680\", alpha=\"0.12\", expect_size=\"32003072\"] \n  10 -> 12 [size =\"32003072\"]\n  11 [size=\"15047680\", alpha=\"0.07\", expect_size=\"6019072\"] \n  12 [size=\"92008960\", alpha=\"0.08\", expect_size=\"36803584\"] \n  12 -> 13 [size =\"36803584\"]\n  12 -> 14 [size =\"36803584\"]\n  13 [size=\"122810880\", alpha=\"0.10\", expect_size=\"49124352\"] \n  13 -> 16 [size =\"49124352\"]\n  14 [size=\"60510720\", alpha=\"0.14\", expect_size=\"24204288\"] \n  14 -> 15 [size =\"24204288\"]\n  15 [size=\"27778560\", alpha=\"0.18\", expect_size=\"11111424\"] \n  15 -> 17 [size =\"11111424\"]\n  16 [size=\"18342400\", alpha=\"0.12\", expect_size=\"7336960\"] \n  17 [size=\"50936320\", alpha=\"0.10\", expect_size=\"20374528\"] \n  17 -> 18 [size =\"20374528\"]\n  17 -> 19 [size =\"20374528\"]\n  18 [size=\"65180160\", alpha=\"0.07\", expect_size=\"26072064\"] \n  18 -> 20 [size =\"26072064\"]\n  19 [size=\"108377600\", alpha=\"0.07\", expect_size=\"43351040\"] \n  20 [size=\"119349760\", alpha=\"0.15\", expect_size=\"47739904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69350400\", alpha=\"0.17\", expect_size=\"27740160\"] \n  1 -> 14 [size =\"27740160\"]\n  1 -> 16 [size =\"27740160\"]\n  2 [size=\"67161600\", alpha=\"0.15\", expect_size=\"26864640\"] \n  2 -> 14 [size =\"26864640\"]\n  2 -> 15 [size =\"26864640\"]\n  3 [size=\"58547200\", alpha=\"0.04\", expect_size=\"23418880\"] \n  3 -> 11 [size =\"23418880\"]\n  3 -> 12 [size =\"23418880\"]\n  3 -> 13 [size =\"23418880\"]\n  3 -> 15 [size =\"23418880\"]\n  4 [size=\"48176640\", alpha=\"0.08\", expect_size=\"19270656\"] \n  4 -> 9 [size =\"19270656\"]\n  4 -> 11 [size =\"19270656\"]\n  4 -> 12 [size =\"19270656\"]\n  4 -> 14 [size =\"19270656\"]\n  4 -> 15 [size =\"19270656\"]\n  4 -> 16 [size =\"19270656\"]\n  4 -> 17 [size =\"19270656\"]\n  5 [size=\"32924160\", alpha=\"0.13\", expect_size=\"13169664\"] \n  5 -> 13 [size =\"13169664\"]\n  5 -> 15 [size =\"13169664\"]\n  5 -> 17 [size =\"13169664\"]\n  6 [size=\"61248000\", alpha=\"0.13\", expect_size=\"24499200\"] \n  6 -> 10 [size =\"24499200\"]\n  6 -> 11 [size =\"24499200\"]\n  6 -> 12 [size =\"24499200\"]\n  6 -> 13 [size =\"24499200\"]\n  6 -> 15 [size =\"24499200\"]\n  6 -> 16 [size =\"24499200\"]\n  7 [size=\"94182400\", alpha=\"0.13\", expect_size=\"37672960\"] \n  7 -> 10 [size =\"37672960\"]\n  7 -> 12 [size =\"37672960\"]\n  8 [size=\"85419520\", alpha=\"0.04\", expect_size=\"34167808\"] \n  8 -> 9 [size =\"34167808\"]\n  8 -> 11 [size =\"34167808\"]\n  8 -> 16 [size =\"34167808\"]\n  9 [size=\"21209600\", alpha=\"0.02\", expect_size=\"8483840\"] \n  9 -> 18 [size =\"8483840\"]\n  10 [size=\"58690560\", alpha=\"0.00\", expect_size=\"23476224\"] \n  10 -> 18 [size =\"23476224\"]\n  10 -> 20 [size =\"23476224\"]\n  11 [size=\"96222720\", alpha=\"0.16\", expect_size=\"38489088\"] \n  11 -> 19 [size =\"38489088\"]\n  12 [size=\"81438720\", alpha=\"0.19\", expect_size=\"32575488\"] \n  12 -> 19 [size =\"32575488\"]\n  13 [size=\"52861440\", alpha=\"0.19\", expect_size=\"21144576\"] \n  13 -> 18 [size =\"21144576\"]\n  14 [size=\"76518400\", alpha=\"0.19\", expect_size=\"30607360\"] \n  14 -> 18 [size =\"30607360\"]\n  15 [size=\"124971520\", alpha=\"0.09\", expect_size=\"49988608\"] \n  15 -> 19 [size =\"49988608\"]\n  16 [size=\"82099200\", alpha=\"0.01\", expect_size=\"32839680\"] \n  16 -> 18 [size =\"32839680\"]\n  16 -> 19 [size =\"32839680\"]\n  17 [size=\"38625280\", alpha=\"0.08\", expect_size=\"15450112\"] \n  17 -> 18 [size =\"15450112\"]\n  17 -> 19 [size =\"15450112\"]\n  18 [size=\"112719360\", alpha=\"0.01\", expect_size=\"45087744\"] \n  19 [size=\"17052160\", alpha=\"0.02\", expect_size=\"6820864\"] \n  20 [size=\"29294080\", alpha=\"0.15\", expect_size=\"11717632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31198720\", alpha=\"0.02\", expect_size=\"12479488\"] \n  1 -> 2 [size =\"12479488\"]\n  2 [size=\"116346880\", alpha=\"0.16\", expect_size=\"46538752\"] \n  2 -> 3 [size =\"46538752\"]\n  3 [size=\"60782080\", alpha=\"0.06\", expect_size=\"24312832\"] \n  3 -> 4 [size =\"24312832\"]\n  3 -> 5 [size =\"24312832\"]\n  4 [size=\"45911040\", alpha=\"0.02\", expect_size=\"18364416\"] \n  4 -> 6 [size =\"18364416\"]\n  5 [size=\"87884800\", alpha=\"0.20\", expect_size=\"35153920\"] \n  5 -> 6 [size =\"35153920\"]\n  6 [size=\"105525760\", alpha=\"0.03\", expect_size=\"42210304\"] \n  6 -> 7 [size =\"42210304\"]\n  7 [size=\"21637120\", alpha=\"0.12\", expect_size=\"8654848\"] \n  7 -> 8 [size =\"8654848\"]\n  7 -> 9 [size =\"8654848\"]\n  8 [size=\"95237120\", alpha=\"0.18\", expect_size=\"38094848\"] \n  8 -> 10 [size =\"38094848\"]\n  8 -> 11 [size =\"38094848\"]\n  9 [size=\"58511360\", alpha=\"0.16\", expect_size=\"23404544\"] \n  9 -> 10 [size =\"23404544\"]\n  9 -> 11 [size =\"23404544\"]\n  10 [size=\"125135360\", alpha=\"0.17\", expect_size=\"50054144\"] \n  10 -> 12 [size =\"50054144\"]\n  11 [size=\"79400960\", alpha=\"0.05\", expect_size=\"31760384\"] \n  11 -> 13 [size =\"31760384\"]\n  12 [size=\"91463680\", alpha=\"0.18\", expect_size=\"36585472\"] \n  12 -> 14 [size =\"36585472\"]\n  13 [size=\"69373440\", alpha=\"0.14\", expect_size=\"27749376\"] \n  13 -> 14 [size =\"27749376\"]\n  13 -> 15 [size =\"27749376\"]\n  14 [size=\"106854400\", alpha=\"0.12\", expect_size=\"42741760\"] \n  14 -> 16 [size =\"42741760\"]\n  14 -> 17 [size =\"42741760\"]\n  15 [size=\"118489600\", alpha=\"0.15\", expect_size=\"47395840\"] \n  15 -> 16 [size =\"47395840\"]\n  15 -> 17 [size =\"47395840\"]\n  16 [size=\"117473280\", alpha=\"0.10\", expect_size=\"46989312\"] \n  16 -> 18 [size =\"46989312\"]\n  17 [size=\"17953280\", alpha=\"0.10\", expect_size=\"7181312\"] \n  17 -> 18 [size =\"7181312\"]\n  18 [size=\"87198720\", alpha=\"0.14\", expect_size=\"34879488\"] \n  18 -> 19 [size =\"34879488\"]\n  18 -> 20 [size =\"34879488\"]\n  19 [size=\"76794880\", alpha=\"0.11\", expect_size=\"30717952\"] \n  20 [size=\"52080640\", alpha=\"0.20\", expect_size=\"20832256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43444224\", alpha=\"0.02\", expect_size=\"21722112\"] \n  1 -> 9 [size =\"21722112\"]\n  1 -> 10 [size =\"21722112\"]\n  2 [size=\"83787776\", alpha=\"0.07\", expect_size=\"41893888\"] \n  2 -> 8 [size =\"41893888\"]\n  2 -> 9 [size =\"41893888\"]\n  2 -> 12 [size =\"41893888\"]\n  2 -> 13 [size =\"41893888\"]\n  3 [size=\"46303232\", alpha=\"0.18\", expect_size=\"23151616\"] \n  3 -> 8 [size =\"23151616\"]\n  3 -> 13 [size =\"23151616\"]\n  4 [size=\"67559424\", alpha=\"0.17\", expect_size=\"33779712\"] \n  4 -> 10 [size =\"33779712\"]\n  4 -> 13 [size =\"33779712\"]\n  5 [size=\"64292864\", alpha=\"0.08\", expect_size=\"32146432\"] \n  5 -> 8 [size =\"32146432\"]\n  5 -> 10 [size =\"32146432\"]\n  5 -> 11 [size =\"32146432\"]\n  5 -> 12 [size =\"32146432\"]\n  5 -> 13 [size =\"32146432\"]\n  6 [size=\"87480320\", alpha=\"0.02\", expect_size=\"43740160\"] \n  6 -> 8 [size =\"43740160\"]\n  6 -> 9 [size =\"43740160\"]\n  6 -> 10 [size =\"43740160\"]\n  6 -> 11 [size =\"43740160\"]\n  6 -> 12 [size =\"43740160\"]\n  6 -> 14 [size =\"43740160\"]\n  7 [size=\"38197248\", alpha=\"0.05\", expect_size=\"19098624\"] \n  7 -> 8 [size =\"19098624\"]\n  7 -> 9 [size =\"19098624\"]\n  7 -> 10 [size =\"19098624\"]\n  7 -> 11 [size =\"19098624\"]\n  7 -> 13 [size =\"19098624\"]\n  7 -> 14 [size =\"19098624\"]\n  8 [size=\"83388416\", alpha=\"0.07\", expect_size=\"41694208\"] \n  8 -> 15 [size =\"41694208\"]\n  8 -> 16 [size =\"41694208\"]\n  8 -> 19 [size =\"41694208\"]\n  8 -> 20 [size =\"41694208\"]\n  9 [size=\"13832192\", alpha=\"0.07\", expect_size=\"6916096\"] \n  9 -> 18 [size =\"6916096\"]\n  9 -> 19 [size =\"6916096\"]\n  9 -> 20 [size =\"6916096\"]\n  10 [size=\"16353280\", alpha=\"0.12\", expect_size=\"8176640\"] \n  10 -> 18 [size =\"8176640\"]\n  10 -> 19 [size =\"8176640\"]\n  10 -> 20 [size =\"8176640\"]\n  11 [size=\"48560128\", alpha=\"0.00\", expect_size=\"24280064\"] \n  12 [size=\"56041472\", alpha=\"0.15\", expect_size=\"28020736\"] \n  12 -> 17 [size =\"28020736\"]\n  12 -> 18 [size =\"28020736\"]\n  12 -> 19 [size =\"28020736\"]\n  12 -> 20 [size =\"28020736\"]\n  13 [size=\"90415104\", alpha=\"0.08\", expect_size=\"45207552\"] \n  13 -> 15 [size =\"45207552\"]\n  13 -> 18 [size =\"45207552\"]\n  13 -> 19 [size =\"45207552\"]\n  14 [size=\"82087936\", alpha=\"0.02\", expect_size=\"41043968\"] \n  14 -> 15 [size =\"41043968\"]\n  14 -> 20 [size =\"41043968\"]\n  15 [size=\"69300224\", alpha=\"0.03\", expect_size=\"34650112\"] \n  16 [size=\"11198464\", alpha=\"0.02\", expect_size=\"5599232\"] \n  17 [size=\"19404800\", alpha=\"0.20\", expect_size=\"9702400\"] \n  18 [size=\"44011520\", alpha=\"0.06\", expect_size=\"22005760\"] \n  19 [size=\"77410304\", alpha=\"0.01\", expect_size=\"38705152\"] \n  20 [size=\"16328704\", alpha=\"0.19\", expect_size=\"8164352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75420160\", alpha=\"0.15\", expect_size=\"30168064\"] \n  1 -> 11 [size =\"30168064\"]\n  1 -> 12 [size =\"30168064\"]\n  1 -> 13 [size =\"30168064\"]\n  1 -> 17 [size =\"30168064\"]\n  2 [size=\"25070080\", alpha=\"0.04\", expect_size=\"10028032\"] \n  2 -> 11 [size =\"10028032\"]\n  2 -> 13 [size =\"10028032\"]\n  2 -> 16 [size =\"10028032\"]\n  2 -> 19 [size =\"10028032\"]\n  3 [size=\"93734400\", alpha=\"0.16\", expect_size=\"37493760\"] \n  3 -> 12 [size =\"37493760\"]\n  3 -> 13 [size =\"37493760\"]\n  3 -> 18 [size =\"37493760\"]\n  4 [size=\"54914560\", alpha=\"0.13\", expect_size=\"21965824\"] \n  4 -> 13 [size =\"21965824\"]\n  4 -> 14 [size =\"21965824\"]\n  4 -> 17 [size =\"21965824\"]\n  5 [size=\"13547520\", alpha=\"0.17\", expect_size=\"5419008\"] \n  5 -> 12 [size =\"5419008\"]\n  5 -> 14 [size =\"5419008\"]\n  6 [size=\"19735040\", alpha=\"0.18\", expect_size=\"7894016\"] \n  6 -> 12 [size =\"7894016\"]\n  6 -> 14 [size =\"7894016\"]\n  7 [size=\"31649280\", alpha=\"0.08\", expect_size=\"12659712\"] \n  7 -> 12 [size =\"12659712\"]\n  8 [size=\"90583040\", alpha=\"0.05\", expect_size=\"36233216\"] \n  8 -> 12 [size =\"36233216\"]\n  8 -> 15 [size =\"36233216\"]\n  8 -> 20 [size =\"36233216\"]\n  9 [size=\"122821120\", alpha=\"0.06\", expect_size=\"49128448\"] \n  9 -> 11 [size =\"49128448\"]\n  9 -> 13 [size =\"49128448\"]\n  9 -> 17 [size =\"49128448\"]\n  9 -> 18 [size =\"49128448\"]\n  9 -> 20 [size =\"49128448\"]\n  10 [size=\"76024320\", alpha=\"0.11\", expect_size=\"30409728\"] \n  11 [size=\"129725440\", alpha=\"0.09\", expect_size=\"51890176\"] \n  12 [size=\"101294080\", alpha=\"0.07\", expect_size=\"40517632\"] \n  13 [size=\"127411200\", alpha=\"0.11\", expect_size=\"50964480\"] \n  14 [size=\"101214720\", alpha=\"0.14\", expect_size=\"40485888\"] \n  15 [size=\"62328320\", alpha=\"0.07\", expect_size=\"24931328\"] \n  16 [size=\"44026880\", alpha=\"0.01\", expect_size=\"17610752\"] \n  17 [size=\"33425920\", alpha=\"0.08\", expect_size=\"13370368\"] \n  18 [size=\"82242560\", alpha=\"0.03\", expect_size=\"32897024\"] \n  19 [size=\"109509120\", alpha=\"0.13\", expect_size=\"43803648\"] \n  20 [size=\"26833920\", alpha=\"0.20\", expect_size=\"10733568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86855680\", alpha=\"0.14\", expect_size=\"26056704\"] \n  1 -> 2 [size =\"26056704\"]\n  2 [size=\"117606400\", alpha=\"0.02\", expect_size=\"35281920\"] \n  2 -> 3 [size =\"35281920\"]\n  3 [size=\"26374827\", alpha=\"0.19\", expect_size=\"7912448\"] \n  3 -> 4 [size =\"7912448\"]\n  4 [size=\"157897387\", alpha=\"0.09\", expect_size=\"47369216\"] \n  4 -> 5 [size =\"47369216\"]\n  5 [size=\"168192000\", alpha=\"0.05\", expect_size=\"50457600\"] \n  5 -> 6 [size =\"50457600\"]\n  6 [size=\"98399573\", alpha=\"0.03\", expect_size=\"29519872\"] \n  6 -> 7 [size =\"29519872\"]\n  7 [size=\"144107520\", alpha=\"0.07\", expect_size=\"43232256\"] \n  7 -> 8 [size =\"43232256\"]\n  8 [size=\"73782613\", alpha=\"0.16\", expect_size=\"22134784\"] \n  8 -> 9 [size =\"22134784\"]\n  9 [size=\"35549867\", alpha=\"0.16\", expect_size=\"10664960\"] \n  9 -> 10 [size =\"10664960\"]\n  10 [size=\"72966827\", alpha=\"0.10\", expect_size=\"21890048\"] \n  10 -> 11 [size =\"21890048\"]\n  11 [size=\"108605440\", alpha=\"0.18\", expect_size=\"32581632\"] \n  11 -> 12 [size =\"32581632\"]\n  12 [size=\"58504533\", alpha=\"0.09\", expect_size=\"17551360\"] \n  12 -> 13 [size =\"17551360\"]\n  13 [size=\"72492373\", alpha=\"0.07\", expect_size=\"21747712\"] \n  13 -> 14 [size =\"21747712\"]\n  14 [size=\"66706773\", alpha=\"0.14\", expect_size=\"20012032\"] \n  14 -> 15 [size =\"20012032\"]\n  15 [size=\"140096853\", alpha=\"0.12\", expect_size=\"42029056\"] \n  15 -> 16 [size =\"42029056\"]\n  16 [size=\"18667520\", alpha=\"0.06\", expect_size=\"5600256\"] \n  16 -> 17 [size =\"5600256\"]\n  17 [size=\"39949653\", alpha=\"0.09\", expect_size=\"11984896\"] \n  17 -> 18 [size =\"11984896\"]\n  18 [size=\"97416533\", alpha=\"0.10\", expect_size=\"29224960\"] \n  18 -> 19 [size =\"29224960\"]\n  19 [size=\"62102187\", alpha=\"0.18\", expect_size=\"18630656\"] \n  19 -> 20 [size =\"18630656\"]\n  20 [size=\"29300053\", alpha=\"0.01\", expect_size=\"8790016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100149248\", alpha=\"0.05\", expect_size=\"50074624\"] \n  1 -> 3 [size =\"50074624\"]\n  2 [size=\"19625984\", alpha=\"0.02\", expect_size=\"9812992\"] \n  2 -> 3 [size =\"9812992\"]\n  3 [size=\"15038464\", alpha=\"0.08\", expect_size=\"7519232\"] \n  3 -> 4 [size =\"7519232\"]\n  4 [size=\"60823552\", alpha=\"0.20\", expect_size=\"30411776\"] \n  4 -> 5 [size =\"30411776\"]\n  5 [size=\"85334016\", alpha=\"0.01\", expect_size=\"42667008\"] \n  5 -> 6 [size =\"42667008\"]\n  5 -> 7 [size =\"42667008\"]\n  6 [size=\"24094720\", alpha=\"0.09\", expect_size=\"12047360\"] \n  6 -> 8 [size =\"12047360\"]\n  6 -> 9 [size =\"12047360\"]\n  7 [size=\"37877760\", alpha=\"0.07\", expect_size=\"18938880\"] \n  7 -> 8 [size =\"18938880\"]\n  7 -> 9 [size =\"18938880\"]\n  8 [size=\"10881024\", alpha=\"0.15\", expect_size=\"5440512\"] \n  9 [size=\"21057536\", alpha=\"0.17\", expect_size=\"10528768\"] \n  9 -> 10 [size =\"10528768\"]\n  10 [size=\"39208960\", alpha=\"0.04\", expect_size=\"19604480\"] \n  10 -> 11 [size =\"19604480\"]\n  11 [size=\"28332032\", alpha=\"0.17\", expect_size=\"14166016\"] \n  11 -> 12 [size =\"14166016\"]\n  12 [size=\"52037632\", alpha=\"0.08\", expect_size=\"26018816\"] \n  12 -> 13 [size =\"26018816\"]\n  12 -> 14 [size =\"26018816\"]\n  13 [size=\"61487104\", alpha=\"0.10\", expect_size=\"30743552\"] \n  13 -> 15 [size =\"30743552\"]\n  14 [size=\"98842624\", alpha=\"0.11\", expect_size=\"49421312\"] \n  14 -> 15 [size =\"49421312\"]\n  15 [size=\"98492416\", alpha=\"0.05\", expect_size=\"49246208\"] \n  15 -> 16 [size =\"49246208\"]\n  16 [size=\"102696960\", alpha=\"0.13\", expect_size=\"51348480\"] \n  16 -> 17 [size =\"51348480\"]\n  16 -> 18 [size =\"51348480\"]\n  17 [size=\"49938432\", alpha=\"0.09\", expect_size=\"24969216\"] \n  17 -> 19 [size =\"24969216\"]\n  18 [size=\"84959232\", alpha=\"0.08\", expect_size=\"42479616\"] \n  18 -> 19 [size =\"42479616\"]\n  19 [size=\"62208000\", alpha=\"0.06\", expect_size=\"31104000\"] \n  19 -> 20 [size =\"31104000\"]\n  20 [size=\"47065088\", alpha=\"0.17\", expect_size=\"23532544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53934080\", alpha=\"0.00\", expect_size=\"16180224\"] \n  1 -> 2 [size =\"16180224\"]\n  2 [size=\"36775253\", alpha=\"0.00\", expect_size=\"11032576\"] \n  2 -> 3 [size =\"11032576\"]\n  3 [size=\"158685867\", alpha=\"0.07\", expect_size=\"47605760\"] \n  3 -> 4 [size =\"47605760\"]\n  4 [size=\"119879680\", alpha=\"0.16\", expect_size=\"35963904\"] \n  4 -> 5 [size =\"35963904\"]\n  5 [size=\"75656533\", alpha=\"0.17\", expect_size=\"22696960\"] \n  5 -> 6 [size =\"22696960\"]\n  6 [size=\"121879893\", alpha=\"0.14\", expect_size=\"36563968\"] \n  6 -> 7 [size =\"36563968\"]\n  7 [size=\"38949547\", alpha=\"0.05\", expect_size=\"11684864\"] \n  7 -> 8 [size =\"11684864\"]\n  8 [size=\"132300800\", alpha=\"0.16\", expect_size=\"39690240\"] \n  8 -> 9 [size =\"39690240\"]\n  9 [size=\"48575147\", alpha=\"0.03\", expect_size=\"14572544\"] \n  9 -> 10 [size =\"14572544\"]\n  10 [size=\"122354347\", alpha=\"0.02\", expect_size=\"36706304\"] \n  10 -> 11 [size =\"36706304\"]\n  11 [size=\"103509333\", alpha=\"0.15\", expect_size=\"31052800\"] \n  11 -> 12 [size =\"31052800\"]\n  12 [size=\"103611733\", alpha=\"0.05\", expect_size=\"31083520\"] \n  12 -> 13 [size =\"31083520\"]\n  13 [size=\"106158080\", alpha=\"0.18\", expect_size=\"31847424\"] \n  13 -> 14 [size =\"31847424\"]\n  14 [size=\"160546133\", alpha=\"0.15\", expect_size=\"48163840\"] \n  14 -> 15 [size =\"48163840\"]\n  15 [size=\"126798507\", alpha=\"0.07\", expect_size=\"38039552\"] \n  15 -> 16 [size =\"38039552\"]\n  16 [size=\"100133547\", alpha=\"0.12\", expect_size=\"30040064\"] \n  16 -> 17 [size =\"30040064\"]\n  17 [size=\"50684587\", alpha=\"0.11\", expect_size=\"15205376\"] \n  17 -> 18 [size =\"15205376\"]\n  18 [size=\"91364693\", alpha=\"0.01\", expect_size=\"27409408\"] \n  18 -> 19 [size =\"27409408\"]\n  19 [size=\"56593067\", alpha=\"0.07\", expect_size=\"16977920\"] \n  19 -> 20 [size =\"16977920\"]\n  20 [size=\"78448640\", alpha=\"0.19\", expect_size=\"23534592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41699328\", alpha=\"0.02\", expect_size=\"20849664\"] \n  1 -> 5 [size =\"20849664\"]\n  2 [size=\"89884672\", alpha=\"0.02\", expect_size=\"44942336\"] \n  2 -> 5 [size =\"44942336\"]\n  2 -> 7 [size =\"44942336\"]\n  2 -> 8 [size =\"44942336\"]\n  3 [size=\"90994688\", alpha=\"0.17\", expect_size=\"45497344\"] \n  3 -> 6 [size =\"45497344\"]\n  3 -> 8 [size =\"45497344\"]\n  4 [size=\"87011328\", alpha=\"0.14\", expect_size=\"43505664\"] \n  4 -> 8 [size =\"43505664\"]\n  5 [size=\"47585280\", alpha=\"0.08\", expect_size=\"23792640\"] \n  6 [size=\"93997056\", alpha=\"0.10\", expect_size=\"46998528\"] \n  6 -> 9 [size =\"46998528\"]\n  7 [size=\"89884672\", alpha=\"0.11\", expect_size=\"44942336\"] \n  7 -> 10 [size =\"44942336\"]\n  8 [size=\"39505920\", alpha=\"0.04\", expect_size=\"19752960\"] \n  8 -> 10 [size =\"19752960\"]\n  8 -> 11 [size =\"19752960\"]\n  9 [size=\"91471872\", alpha=\"0.08\", expect_size=\"45735936\"] \n  9 -> 12 [size =\"45735936\"]\n  10 [size=\"13012992\", alpha=\"0.10\", expect_size=\"6506496\"] \n  10 -> 12 [size =\"6506496\"]\n  10 -> 13 [size =\"6506496\"]\n  11 [size=\"66871296\", alpha=\"0.05\", expect_size=\"33435648\"] \n  11 -> 13 [size =\"33435648\"]\n  12 [size=\"78362624\", alpha=\"0.11\", expect_size=\"39181312\"] \n  12 -> 14 [size =\"39181312\"]\n  13 [size=\"86124544\", alpha=\"0.17\", expect_size=\"43062272\"] \n  13 -> 14 [size =\"43062272\"]\n  13 -> 15 [size =\"43062272\"]\n  14 [size=\"71524352\", alpha=\"0.15\", expect_size=\"35762176\"] \n  14 -> 16 [size =\"35762176\"]\n  14 -> 17 [size =\"35762176\"]\n  15 [size=\"45019136\", alpha=\"0.10\", expect_size=\"22509568\"] \n  16 [size=\"85061632\", alpha=\"0.09\", expect_size=\"42530816\"] \n  16 -> 18 [size =\"42530816\"]\n  17 [size=\"37498880\", alpha=\"0.01\", expect_size=\"18749440\"] \n  17 -> 18 [size =\"18749440\"]\n  17 -> 19 [size =\"18749440\"]\n  18 [size=\"89948160\", alpha=\"0.13\", expect_size=\"44974080\"] \n  18 -> 20 [size =\"44974080\"]\n  19 [size=\"16013312\", alpha=\"0.12\", expect_size=\"8006656\"] \n  20 [size=\"54415360\", alpha=\"0.13\", expect_size=\"27207680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48417280\", alpha=\"0.09\", expect_size=\"19366912\"] \n  1 -> 6 [size =\"19366912\"]\n  1 -> 7 [size =\"19366912\"]\n  2 [size=\"120665600\", alpha=\"0.13\", expect_size=\"48266240\"] \n  2 -> 6 [size =\"48266240\"]\n  2 -> 7 [size =\"48266240\"]\n  3 [size=\"86896640\", alpha=\"0.17\", expect_size=\"34758656\"] \n  3 -> 8 [size =\"34758656\"]\n  4 [size=\"95516160\", alpha=\"0.17\", expect_size=\"38206464\"] \n  4 -> 7 [size =\"38206464\"]\n  5 [size=\"42019840\", alpha=\"0.00\", expect_size=\"16807936\"] \n  5 -> 6 [size =\"16807936\"]\n  5 -> 8 [size =\"16807936\"]\n  6 [size=\"114598400\", alpha=\"0.02\", expect_size=\"45839360\"] \n  6 -> 9 [size =\"45839360\"]\n  6 -> 10 [size =\"45839360\"]\n  6 -> 11 [size =\"45839360\"]\n  7 [size=\"59712000\", alpha=\"0.15\", expect_size=\"23884800\"] \n  7 -> 11 [size =\"23884800\"]\n  8 [size=\"65838080\", alpha=\"0.18\", expect_size=\"26335232\"] \n  8 -> 9 [size =\"26335232\"]\n  9 [size=\"109521920\", alpha=\"0.06\", expect_size=\"43808768\"] \n  9 -> 14 [size =\"43808768\"]\n  10 [size=\"45486080\", alpha=\"0.16\", expect_size=\"18194432\"] \n  11 [size=\"108398080\", alpha=\"0.09\", expect_size=\"43359232\"] \n  11 -> 12 [size =\"43359232\"]\n  11 -> 13 [size =\"43359232\"]\n  11 -> 14 [size =\"43359232\"]\n  12 [size=\"41661440\", alpha=\"0.12\", expect_size=\"16664576\"] \n  12 -> 16 [size =\"16664576\"]\n  13 [size=\"119070720\", alpha=\"0.06\", expect_size=\"47628288\"] \n  13 -> 15 [size =\"47628288\"]\n  13 -> 17 [size =\"47628288\"]\n  13 -> 18 [size =\"47628288\"]\n  14 [size=\"98506240\", alpha=\"0.19\", expect_size=\"39402496\"] \n  14 -> 16 [size =\"39402496\"]\n  14 -> 18 [size =\"39402496\"]\n  15 [size=\"78067200\", alpha=\"0.00\", expect_size=\"31226880\"] \n  16 [size=\"80744960\", alpha=\"0.06\", expect_size=\"32297984\"] \n  16 -> 19 [size =\"32297984\"]\n  17 [size=\"93619200\", alpha=\"0.15\", expect_size=\"37447680\"] \n  17 -> 20 [size =\"37447680\"]\n  18 [size=\"62878720\", alpha=\"0.19\", expect_size=\"25151488\"] \n  18 -> 19 [size =\"25151488\"]\n  19 [size=\"52221440\", alpha=\"0.01\", expect_size=\"20888576\"] \n  20 [size=\"85445120\", alpha=\"0.10\", expect_size=\"34178048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79224320\", alpha=\"0.18\", expect_size=\"31689728\"] \n  1 -> 15 [size =\"31689728\"]\n  1 -> 16 [size =\"31689728\"]\n  1 -> 17 [size =\"31689728\"]\n  1 -> 19 [size =\"31689728\"]\n  2 [size=\"127831040\", alpha=\"0.15\", expect_size=\"51132416\"] \n  2 -> 14 [size =\"51132416\"]\n  2 -> 15 [size =\"51132416\"]\n  2 -> 16 [size =\"51132416\"]\n  2 -> 17 [size =\"51132416\"]\n  2 -> 18 [size =\"51132416\"]\n  3 [size=\"77079040\", alpha=\"0.13\", expect_size=\"30831616\"] \n  3 -> 20 [size =\"30831616\"]\n  4 [size=\"128284160\", alpha=\"0.15\", expect_size=\"51313664\"] \n  4 -> 15 [size =\"51313664\"]\n  4 -> 16 [size =\"51313664\"]\n  4 -> 17 [size =\"51313664\"]\n  4 -> 19 [size =\"51313664\"]\n  5 [size=\"49013760\", alpha=\"0.01\", expect_size=\"19605504\"] \n  5 -> 15 [size =\"19605504\"]\n  5 -> 16 [size =\"19605504\"]\n  6 [size=\"54361600\", alpha=\"0.17\", expect_size=\"21744640\"] \n  6 -> 15 [size =\"21744640\"]\n  6 -> 18 [size =\"21744640\"]\n  6 -> 19 [size =\"21744640\"]\n  7 [size=\"91028480\", alpha=\"0.14\", expect_size=\"36411392\"] \n  7 -> 13 [size =\"36411392\"]\n  7 -> 15 [size =\"36411392\"]\n  7 -> 16 [size =\"36411392\"]\n  7 -> 18 [size =\"36411392\"]\n  7 -> 20 [size =\"36411392\"]\n  8 [size=\"112535040\", alpha=\"0.08\", expect_size=\"45014016\"] \n  8 -> 13 [size =\"45014016\"]\n  8 -> 20 [size =\"45014016\"]\n  9 [size=\"30615040\", alpha=\"0.18\", expect_size=\"12246016\"] \n  9 -> 13 [size =\"12246016\"]\n  9 -> 18 [size =\"12246016\"]\n  10 [size=\"74961920\", alpha=\"0.20\", expect_size=\"29984768\"] \n  10 -> 13 [size =\"29984768\"]\n  10 -> 17 [size =\"29984768\"]\n  10 -> 18 [size =\"29984768\"]\n  10 -> 19 [size =\"29984768\"]\n  10 -> 20 [size =\"29984768\"]\n  11 [size=\"38996480\", alpha=\"0.09\", expect_size=\"15598592\"] \n  11 -> 13 [size =\"15598592\"]\n  11 -> 14 [size =\"15598592\"]\n  11 -> 15 [size =\"15598592\"]\n  11 -> 16 [size =\"15598592\"]\n  11 -> 17 [size =\"15598592\"]\n  12 [size=\"26657280\", alpha=\"0.09\", expect_size=\"10662912\"] \n  12 -> 14 [size =\"10662912\"]\n  12 -> 16 [size =\"10662912\"]\n  12 -> 17 [size =\"10662912\"]\n  13 [size=\"113909760\", alpha=\"0.11\", expect_size=\"45563904\"] \n  14 [size=\"72197120\", alpha=\"0.09\", expect_size=\"28878848\"] \n  15 [size=\"45493760\", alpha=\"0.01\", expect_size=\"18197504\"] \n  16 [size=\"51758080\", alpha=\"0.14\", expect_size=\"20703232\"] \n  17 [size=\"33420800\", alpha=\"0.03\", expect_size=\"13368320\"] \n  18 [size=\"117135360\", alpha=\"0.10\", expect_size=\"46854144\"] \n  19 [size=\"44305920\", alpha=\"0.17\", expect_size=\"17722368\"] \n  20 [size=\"31298560\", alpha=\"0.08\", expect_size=\"12519424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41454080\", alpha=\"0.13\", expect_size=\"16581632\"] \n  1 -> 5 [size =\"16581632\"]\n  1 -> 6 [size =\"16581632\"]\n  2 [size=\"42206720\", alpha=\"0.16\", expect_size=\"16882688\"] \n  2 -> 6 [size =\"16882688\"]\n  3 [size=\"39787520\", alpha=\"0.06\", expect_size=\"15915008\"] \n  3 -> 4 [size =\"15915008\"]\n  3 -> 7 [size =\"15915008\"]\n  4 [size=\"16829440\", alpha=\"0.18\", expect_size=\"6731776\"] \n  4 -> 8 [size =\"6731776\"]\n  5 [size=\"73428480\", alpha=\"0.06\", expect_size=\"29371392\"] \n  6 [size=\"21288960\", alpha=\"0.12\", expect_size=\"8515584\"] \n  6 -> 10 [size =\"8515584\"]\n  7 [size=\"48957440\", alpha=\"0.11\", expect_size=\"19582976\"] \n  7 -> 9 [size =\"19582976\"]\n  7 -> 11 [size =\"19582976\"]\n  8 [size=\"38753280\", alpha=\"0.13\", expect_size=\"15501312\"] \n  8 -> 12 [size =\"15501312\"]\n  8 -> 13 [size =\"15501312\"]\n  9 [size=\"44638720\", alpha=\"0.03\", expect_size=\"17855488\"] \n  9 -> 12 [size =\"17855488\"]\n  10 [size=\"123033600\", alpha=\"0.19\", expect_size=\"49213440\"] \n  10 -> 13 [size =\"49213440\"]\n  11 [size=\"112747520\", alpha=\"0.05\", expect_size=\"45099008\"] \n  12 [size=\"71662080\", alpha=\"0.09\", expect_size=\"28664832\"] \n  12 -> 14 [size =\"28664832\"]\n  12 -> 15 [size =\"28664832\"]\n  12 -> 16 [size =\"28664832\"]\n  12 -> 17 [size =\"28664832\"]\n  12 -> 18 [size =\"28664832\"]\n  13 [size=\"47884800\", alpha=\"0.06\", expect_size=\"19153920\"] \n  14 [size=\"81589760\", alpha=\"0.05\", expect_size=\"32635904\"] \n  14 -> 20 [size =\"32635904\"]\n  15 [size=\"66990080\", alpha=\"0.08\", expect_size=\"26796032\"] \n  15 -> 19 [size =\"26796032\"]\n  16 [size=\"102760960\", alpha=\"0.10\", expect_size=\"41104384\"] \n  17 [size=\"53575680\", alpha=\"0.07\", expect_size=\"21430272\"] \n  17 -> 19 [size =\"21430272\"]\n  18 [size=\"120343040\", alpha=\"0.09\", expect_size=\"48137216\"] \n  18 -> 19 [size =\"48137216\"]\n  19 [size=\"79093760\", alpha=\"0.16\", expect_size=\"31637504\"] \n  20 [size=\"99379200\", alpha=\"0.06\", expect_size=\"39751680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83443712\", alpha=\"0.16\", expect_size=\"41721856\"] \n  1 -> 2 [size =\"41721856\"]\n  2 [size=\"96317440\", alpha=\"0.10\", expect_size=\"48158720\"] \n  2 -> 3 [size =\"48158720\"]\n  3 [size=\"100448256\", alpha=\"0.11\", expect_size=\"50224128\"] \n  3 -> 4 [size =\"50224128\"]\n  3 -> 5 [size =\"50224128\"]\n  4 [size=\"41750528\", alpha=\"0.06\", expect_size=\"20875264\"] \n  4 -> 6 [size =\"20875264\"]\n  4 -> 7 [size =\"20875264\"]\n  5 [size=\"56936448\", alpha=\"0.15\", expect_size=\"28468224\"] \n  6 [size=\"37421056\", alpha=\"0.16\", expect_size=\"18710528\"] \n  6 -> 8 [size =\"18710528\"]\n  7 [size=\"70316032\", alpha=\"0.11\", expect_size=\"35158016\"] \n  8 [size=\"35674112\", alpha=\"0.20\", expect_size=\"17837056\"] \n  8 -> 9 [size =\"17837056\"]\n  9 [size=\"28262400\", alpha=\"0.18\", expect_size=\"14131200\"] \n  9 -> 10 [size =\"14131200\"]\n  9 -> 11 [size =\"14131200\"]\n  10 [size=\"45852672\", alpha=\"0.09\", expect_size=\"22926336\"] \n  10 -> 12 [size =\"22926336\"]\n  11 [size=\"44275712\", alpha=\"0.18\", expect_size=\"22137856\"] \n  12 [size=\"23773184\", alpha=\"0.06\", expect_size=\"11886592\"] \n  12 -> 13 [size =\"11886592\"]\n  12 -> 14 [size =\"11886592\"]\n  13 [size=\"70565888\", alpha=\"0.10\", expect_size=\"35282944\"] \n  13 -> 15 [size =\"35282944\"]\n  14 [size=\"25806848\", alpha=\"0.15\", expect_size=\"12903424\"] \n  14 -> 15 [size =\"12903424\"]\n  15 [size=\"54659072\", alpha=\"0.18\", expect_size=\"27329536\"] \n  15 -> 16 [size =\"27329536\"]\n  16 [size=\"32667648\", alpha=\"0.18\", expect_size=\"16333824\"] \n  16 -> 17 [size =\"16333824\"]\n  16 -> 18 [size =\"16333824\"]\n  17 [size=\"12800000\", alpha=\"0.03\", expect_size=\"6400000\"] \n  17 -> 19 [size =\"6400000\"]\n  17 -> 20 [size =\"6400000\"]\n  18 [size=\"63240192\", alpha=\"0.16\", expect_size=\"31620096\"] \n  19 [size=\"63105024\", alpha=\"0.14\", expect_size=\"31552512\"] \n  20 [size=\"55259136\", alpha=\"0.15\", expect_size=\"27629568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155992747\", alpha=\"0.00\", expect_size=\"46797824\"] \n  1 -> 12 [size =\"46797824\"]\n  1 -> 13 [size =\"46797824\"]\n  1 -> 14 [size =\"46797824\"]\n  1 -> 14 [size =\"46797824\"]\n  1 -> 15 [size =\"46797824\"]\n  1 -> 18 [size =\"46797824\"]\n  1 -> 19 [size =\"46797824\"]\n  2 [size=\"65078613\", alpha=\"0.00\", expect_size=\"19523584\"] \n  2 -> 12 [size =\"19523584\"]\n  2 -> 13 [size =\"19523584\"]\n  2 -> 16 [size =\"19523584\"]\n  2 -> 18 [size =\"19523584\"]\n  3 [size=\"156125867\", alpha=\"0.14\", expect_size=\"46837760\"] \n  3 -> 11 [size =\"46837760\"]\n  3 -> 15 [size =\"46837760\"]\n  3 -> 16 [size =\"46837760\"]\n  4 [size=\"167734613\", alpha=\"0.02\", expect_size=\"50320384\"] \n  4 -> 15 [size =\"50320384\"]\n  4 -> 15 [size =\"50320384\"]\n  4 -> 16 [size =\"50320384\"]\n  4 -> 19 [size =\"50320384\"]\n  5 [size=\"58873173\", alpha=\"0.13\", expect_size=\"17661952\"] \n  5 -> 15 [size =\"17661952\"]\n  5 -> 16 [size =\"17661952\"]\n  5 -> 19 [size =\"17661952\"]\n  5 -> 19 [size =\"17661952\"]\n  5 -> 20 [size =\"17661952\"]\n  6 [size=\"166331733\", alpha=\"0.17\", expect_size=\"49899520\"] \n  6 -> 16 [size =\"49899520\"]\n  6 -> 17 [size =\"49899520\"]\n  6 -> 19 [size =\"49899520\"]\n  6 -> 20 [size =\"49899520\"]\n  7 [size=\"34474667\", alpha=\"0.19\", expect_size=\"10342400\"] \n  7 -> 14 [size =\"10342400\"]\n  7 -> 16 [size =\"10342400\"]\n  7 -> 19 [size =\"10342400\"]\n  7 -> 20 [size =\"10342400\"]\n  8 [size=\"109595307\", alpha=\"0.16\", expect_size=\"32878592\"] \n  8 -> 19 [size =\"32878592\"]\n  8 -> 20 [size =\"32878592\"]\n  9 [size=\"163177813\", alpha=\"0.19\", expect_size=\"48953344\"] \n  9 -> 14 [size =\"48953344\"]\n  9 -> 15 [size =\"48953344\"]\n  9 -> 20 [size =\"48953344\"]\n  10 [size=\"163846827\", alpha=\"0.04\", expect_size=\"49154048\"] \n  10 -> 11 [size =\"49154048\"]\n  10 -> 12 [size =\"49154048\"]\n  10 -> 13 [size =\"49154048\"]\n  10 -> 14 [size =\"49154048\"]\n  10 -> 18 [size =\"49154048\"]\n  11 [size=\"113227093\", alpha=\"0.02\", expect_size=\"33968128\"] \n  12 [size=\"114022400\", alpha=\"0.06\", expect_size=\"34206720\"] \n  13 [size=\"116596053\", alpha=\"0.18\", expect_size=\"34978816\"] \n  14 [size=\"71144107\", alpha=\"0.14\", expect_size=\"21343232\"] \n  15 [size=\"85862400\", alpha=\"0.12\", expect_size=\"25758720\"] \n  16 [size=\"31426560\", alpha=\"0.18\", expect_size=\"9427968\"] \n  17 [size=\"161802240\", alpha=\"0.14\", expect_size=\"48540672\"] \n  18 [size=\"152746667\", alpha=\"0.19\", expect_size=\"45824000\"] \n  19 [size=\"117729280\", alpha=\"0.19\", expect_size=\"35318784\"] \n  20 [size=\"112595627\", alpha=\"0.14\", expect_size=\"33778688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96456704\", alpha=\"0.10\", expect_size=\"48228352\"] \n  1 -> 4 [size =\"48228352\"]\n  2 [size=\"35055616\", alpha=\"0.06\", expect_size=\"17527808\"] \n  2 -> 5 [size =\"17527808\"]\n  2 -> 7 [size =\"17527808\"]\n  3 [size=\"23791616\", alpha=\"0.15\", expect_size=\"11895808\"] \n  3 -> 4 [size =\"11895808\"]\n  3 -> 6 [size =\"11895808\"]\n  4 [size=\"38606848\", alpha=\"0.19\", expect_size=\"19303424\"] \n  4 -> 9 [size =\"19303424\"]\n  4 -> 11 [size =\"19303424\"]\n  4 -> 12 [size =\"19303424\"]\n  5 [size=\"74805248\", alpha=\"0.15\", expect_size=\"37402624\"] \n  5 -> 8 [size =\"37402624\"]\n  5 -> 10 [size =\"37402624\"]\n  5 -> 12 [size =\"37402624\"]\n  6 [size=\"49020928\", alpha=\"0.17\", expect_size=\"24510464\"] \n  6 -> 10 [size =\"24510464\"]\n  7 [size=\"29198336\", alpha=\"0.07\", expect_size=\"14599168\"] \n  7 -> 8 [size =\"14599168\"]\n  8 [size=\"96462848\", alpha=\"0.11\", expect_size=\"48231424\"] \n  8 -> 14 [size =\"48231424\"]\n  9 [size=\"56596480\", alpha=\"0.01\", expect_size=\"28298240\"] \n  9 -> 15 [size =\"28298240\"]\n  10 [size=\"55248896\", alpha=\"0.09\", expect_size=\"27624448\"] \n  10 -> 16 [size =\"27624448\"]\n  11 [size=\"78282752\", alpha=\"0.11\", expect_size=\"39141376\"] \n  11 -> 13 [size =\"39141376\"]\n  11 -> 15 [size =\"39141376\"]\n  11 -> 16 [size =\"39141376\"]\n  12 [size=\"30365696\", alpha=\"0.05\", expect_size=\"15182848\"] \n  12 -> 13 [size =\"15182848\"]\n  12 -> 14 [size =\"15182848\"]\n  12 -> 15 [size =\"15182848\"]\n  13 [size=\"56686592\", alpha=\"0.09\", expect_size=\"28343296\"] \n  13 -> 18 [size =\"28343296\"]\n  13 -> 19 [size =\"28343296\"]\n  14 [size=\"32733184\", alpha=\"0.10\", expect_size=\"16366592\"] \n  14 -> 17 [size =\"16366592\"]\n  15 [size=\"30347264\", alpha=\"0.03\", expect_size=\"15173632\"] \n  16 [size=\"101369856\", alpha=\"0.20\", expect_size=\"50684928\"] \n  16 -> 18 [size =\"50684928\"]\n  17 [size=\"85108736\", alpha=\"0.14\", expect_size=\"42554368\"] \n  17 -> 20 [size =\"42554368\"]\n  18 [size=\"23351296\", alpha=\"0.17\", expect_size=\"11675648\"] \n  19 [size=\"76003328\", alpha=\"0.10\", expect_size=\"38001664\"] \n  20 [size=\"81862656\", alpha=\"0.12\", expect_size=\"40931328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129679360\", alpha=\"0.14\", expect_size=\"51871744\"] \n  1 -> 3 [size =\"51871744\"]\n  2 [size=\"82222080\", alpha=\"0.15\", expect_size=\"32888832\"] \n  2 -> 3 [size =\"32888832\"]\n  3 [size=\"107829760\", alpha=\"0.06\", expect_size=\"43131904\"] \n  3 -> 4 [size =\"43131904\"]\n  4 [size=\"119275520\", alpha=\"0.14\", expect_size=\"47710208\"] \n  4 -> 5 [size =\"47710208\"]\n  4 -> 6 [size =\"47710208\"]\n  5 [size=\"54456320\", alpha=\"0.10\", expect_size=\"21782528\"] \n  6 [size=\"91200000\", alpha=\"0.09\", expect_size=\"36480000\"] \n  6 -> 7 [size =\"36480000\"]\n  7 [size=\"124408320\", alpha=\"0.20\", expect_size=\"49763328\"] \n  7 -> 8 [size =\"49763328\"]\n  8 [size=\"21470720\", alpha=\"0.13\", expect_size=\"8588288\"] \n  8 -> 9 [size =\"8588288\"]\n  8 -> 10 [size =\"8588288\"]\n  9 [size=\"117271040\", alpha=\"0.10\", expect_size=\"46908416\"] \n  9 -> 11 [size =\"46908416\"]\n  9 -> 12 [size =\"46908416\"]\n  10 [size=\"34457600\", alpha=\"0.10\", expect_size=\"13783040\"] \n  10 -> 11 [size =\"13783040\"]\n  10 -> 12 [size =\"13783040\"]\n  11 [size=\"66967040\", alpha=\"0.10\", expect_size=\"26786816\"] \n  11 -> 13 [size =\"26786816\"]\n  11 -> 14 [size =\"26786816\"]\n  12 [size=\"32832000\", alpha=\"0.03\", expect_size=\"13132800\"] \n  12 -> 13 [size =\"13132800\"]\n  12 -> 14 [size =\"13132800\"]\n  13 [size=\"119823360\", alpha=\"0.12\", expect_size=\"47929344\"] \n  13 -> 15 [size =\"47929344\"]\n  13 -> 16 [size =\"47929344\"]\n  14 [size=\"40135680\", alpha=\"0.17\", expect_size=\"16054272\"] \n  14 -> 15 [size =\"16054272\"]\n  15 [size=\"122304000\", alpha=\"0.14\", expect_size=\"48921600\"] \n  15 -> 17 [size =\"48921600\"]\n  16 [size=\"62517760\", alpha=\"0.06\", expect_size=\"25007104\"] \n  16 -> 17 [size =\"25007104\"]\n  17 [size=\"114856960\", alpha=\"0.01\", expect_size=\"45942784\"] \n  17 -> 18 [size =\"45942784\"]\n  18 [size=\"114508800\", alpha=\"0.17\", expect_size=\"45803520\"] \n  18 -> 19 [size =\"45803520\"]\n  19 [size=\"72335360\", alpha=\"0.08\", expect_size=\"28934144\"] \n  19 -> 20 [size =\"28934144\"]\n  20 [size=\"130053120\", alpha=\"0.03\", expect_size=\"52021248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58928640\", alpha=\"0.15\", expect_size=\"23571456\"] \n  1 -> 2 [size =\"23571456\"]\n  2 [size=\"79073280\", alpha=\"0.04\", expect_size=\"31629312\"] \n  2 -> 3 [size =\"31629312\"]\n  3 [size=\"101841920\", alpha=\"0.16\", expect_size=\"40736768\"] \n  3 -> 4 [size =\"40736768\"]\n  4 [size=\"33167360\", alpha=\"0.10\", expect_size=\"13266944\"] \n  4 -> 5 [size =\"13266944\"]\n  5 [size=\"130749440\", alpha=\"0.13\", expect_size=\"52299776\"] \n  5 -> 6 [size =\"52299776\"]\n  6 [size=\"99758080\", alpha=\"0.06\", expect_size=\"39903232\"] \n  6 -> 7 [size =\"39903232\"]\n  7 [size=\"63400960\", alpha=\"0.14\", expect_size=\"25360384\"] \n  7 -> 8 [size =\"25360384\"]\n  8 [size=\"33123840\", alpha=\"0.03\", expect_size=\"13249536\"] \n  8 -> 9 [size =\"13249536\"]\n  9 [size=\"126796800\", alpha=\"0.07\", expect_size=\"50718720\"] \n  9 -> 10 [size =\"50718720\"]\n  10 [size=\"111761920\", alpha=\"0.09\", expect_size=\"44704768\"] \n  10 -> 11 [size =\"44704768\"]\n  11 [size=\"48896000\", alpha=\"0.19\", expect_size=\"19558400\"] \n  11 -> 12 [size =\"19558400\"]\n  12 [size=\"18560000\", alpha=\"0.12\", expect_size=\"7424000\"] \n  12 -> 13 [size =\"7424000\"]\n  13 [size=\"40007680\", alpha=\"0.08\", expect_size=\"16003072\"] \n  13 -> 14 [size =\"16003072\"]\n  14 [size=\"19051520\", alpha=\"0.02\", expect_size=\"7620608\"] \n  14 -> 15 [size =\"7620608\"]\n  15 [size=\"77432320\", alpha=\"0.08\", expect_size=\"30972928\"] \n  15 -> 16 [size =\"30972928\"]\n  16 [size=\"37358080\", alpha=\"0.17\", expect_size=\"14943232\"] \n  16 -> 17 [size =\"14943232\"]\n  17 [size=\"71590400\", alpha=\"0.09\", expect_size=\"28636160\"] \n  17 -> 18 [size =\"28636160\"]\n  18 [size=\"38108160\", alpha=\"0.02\", expect_size=\"15243264\"] \n  18 -> 19 [size =\"15243264\"]\n  19 [size=\"56440320\", alpha=\"0.10\", expect_size=\"22576128\"] \n  19 -> 20 [size =\"22576128\"]\n  20 [size=\"99788800\", alpha=\"0.08\", expect_size=\"39915520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13780992\", alpha=\"0.13\", expect_size=\"6890496\"] \n  1 -> 2 [size =\"6890496\"]\n  2 [size=\"86329344\", alpha=\"0.03\", expect_size=\"43164672\"] \n  2 -> 3 [size =\"43164672\"]\n  3 [size=\"26963968\", alpha=\"0.00\", expect_size=\"13481984\"] \n  3 -> 4 [size =\"13481984\"]\n  4 [size=\"86120448\", alpha=\"0.08\", expect_size=\"43060224\"] \n  4 -> 5 [size =\"43060224\"]\n  5 [size=\"100698112\", alpha=\"0.04\", expect_size=\"50349056\"] \n  5 -> 6 [size =\"50349056\"]\n  6 [size=\"16406528\", alpha=\"0.11\", expect_size=\"8203264\"] \n  6 -> 7 [size =\"8203264\"]\n  7 [size=\"90374144\", alpha=\"0.03\", expect_size=\"45187072\"] \n  7 -> 8 [size =\"45187072\"]\n  8 [size=\"20992000\", alpha=\"0.18\", expect_size=\"10496000\"] \n  8 -> 9 [size =\"10496000\"]\n  9 [size=\"58820608\", alpha=\"0.11\", expect_size=\"29410304\"] \n  9 -> 10 [size =\"29410304\"]\n  10 [size=\"81457152\", alpha=\"0.00\", expect_size=\"40728576\"] \n  10 -> 11 [size =\"40728576\"]\n  11 [size=\"62199808\", alpha=\"0.13\", expect_size=\"31099904\"] \n  11 -> 12 [size =\"31099904\"]\n  12 [size=\"29638656\", alpha=\"0.15\", expect_size=\"14819328\"] \n  12 -> 13 [size =\"14819328\"]\n  13 [size=\"43646976\", alpha=\"0.19\", expect_size=\"21823488\"] \n  13 -> 14 [size =\"21823488\"]\n  14 [size=\"45273088\", alpha=\"0.08\", expect_size=\"22636544\"] \n  14 -> 15 [size =\"22636544\"]\n  15 [size=\"83832832\", alpha=\"0.10\", expect_size=\"41916416\"] \n  15 -> 16 [size =\"41916416\"]\n  16 [size=\"104273920\", alpha=\"0.06\", expect_size=\"52136960\"] \n  16 -> 17 [size =\"52136960\"]\n  17 [size=\"63817728\", alpha=\"0.15\", expect_size=\"31908864\"] \n  17 -> 18 [size =\"31908864\"]\n  18 [size=\"79843328\", alpha=\"0.03\", expect_size=\"39921664\"] \n  18 -> 19 [size =\"39921664\"]\n  19 [size=\"71852032\", alpha=\"0.05\", expect_size=\"35926016\"] \n  19 -> 20 [size =\"35926016\"]\n  20 [size=\"29460480\", alpha=\"0.08\", expect_size=\"14730240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61402453\", alpha=\"0.01\", expect_size=\"18420736\"] \n  1 -> 2 [size =\"18420736\"]\n  2 [size=\"139362987\", alpha=\"0.11\", expect_size=\"41808896\"] \n  2 -> 3 [size =\"41808896\"]\n  2 -> 4 [size =\"41808896\"]\n  3 [size=\"136304640\", alpha=\"0.16\", expect_size=\"40891392\"] \n  4 [size=\"29556053\", alpha=\"0.05\", expect_size=\"8866816\"] \n  4 -> 5 [size =\"8866816\"]\n  5 [size=\"140670293\", alpha=\"0.16\", expect_size=\"42201088\"] \n  5 -> 6 [size =\"42201088\"]\n  6 [size=\"56367787\", alpha=\"0.08\", expect_size=\"16910336\"] \n  6 -> 7 [size =\"16910336\"]\n  7 [size=\"98099200\", alpha=\"0.13\", expect_size=\"29429760\"] \n  7 -> 8 [size =\"29429760\"]\n  7 -> 9 [size =\"29429760\"]\n  8 [size=\"87753387\", alpha=\"0.16\", expect_size=\"26326016\"] \n  9 [size=\"142544213\", alpha=\"0.04\", expect_size=\"42763264\"] \n  9 -> 10 [size =\"42763264\"]\n  10 [size=\"55162880\", alpha=\"0.18\", expect_size=\"16548864\"] \n  10 -> 11 [size =\"16548864\"]\n  11 [size=\"56507733\", alpha=\"0.14\", expect_size=\"16952320\"] \n  11 -> 12 [size =\"16952320\"]\n  12 [size=\"60593493\", alpha=\"0.19\", expect_size=\"18178048\"] \n  12 -> 13 [size =\"18178048\"]\n  12 -> 14 [size =\"18178048\"]\n  13 [size=\"143680853\", alpha=\"0.07\", expect_size=\"43104256\"] \n  13 -> 15 [size =\"43104256\"]\n  14 [size=\"111237120\", alpha=\"0.03\", expect_size=\"33371136\"] \n  15 [size=\"152948053\", alpha=\"0.17\", expect_size=\"45884416\"] \n  15 -> 16 [size =\"45884416\"]\n  16 [size=\"118828373\", alpha=\"0.20\", expect_size=\"35648512\"] \n  16 -> 17 [size =\"35648512\"]\n  17 [size=\"21794133\", alpha=\"0.11\", expect_size=\"6538240\"] \n  17 -> 18 [size =\"6538240\"]\n  17 -> 19 [size =\"6538240\"]\n  18 [size=\"126812160\", alpha=\"0.05\", expect_size=\"38043648\"] \n  19 [size=\"94115840\", alpha=\"0.14\", expect_size=\"28234752\"] \n  19 -> 20 [size =\"28234752\"]\n  20 [size=\"125064533\", alpha=\"0.05\", expect_size=\"37519360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83619840\", alpha=\"0.03\", expect_size=\"41809920\"] \n  1 -> 8 [size =\"41809920\"]\n  1 -> 10 [size =\"41809920\"]\n  1 -> 12 [size =\"41809920\"]\n  1 -> 13 [size =\"41809920\"]\n  1 -> 14 [size =\"41809920\"]\n  2 [size=\"34689024\", alpha=\"0.00\", expect_size=\"17344512\"] \n  2 -> 11 [size =\"17344512\"]\n  2 -> 12 [size =\"17344512\"]\n  3 [size=\"86845440\", alpha=\"0.15\", expect_size=\"43422720\"] \n  3 -> 6 [size =\"43422720\"]\n  3 -> 8 [size =\"43422720\"]\n  3 -> 14 [size =\"43422720\"]\n  4 [size=\"25214976\", alpha=\"0.19\", expect_size=\"12607488\"] \n  4 -> 7 [size =\"12607488\"]\n  4 -> 9 [size =\"12607488\"]\n  5 [size=\"71208960\", alpha=\"0.08\", expect_size=\"35604480\"] \n  5 -> 9 [size =\"35604480\"]\n  5 -> 10 [size =\"35604480\"]\n  5 -> 12 [size =\"35604480\"]\n  5 -> 14 [size =\"35604480\"]\n  6 [size=\"19898368\", alpha=\"0.13\", expect_size=\"9949184\"] \n  6 -> 15 [size =\"9949184\"]\n  6 -> 16 [size =\"9949184\"]\n  7 [size=\"73000960\", alpha=\"0.15\", expect_size=\"36500480\"] \n  7 -> 16 [size =\"36500480\"]\n  7 -> 17 [size =\"36500480\"]\n  7 -> 19 [size =\"36500480\"]\n  8 [size=\"61151232\", alpha=\"0.13\", expect_size=\"30575616\"] \n  8 -> 15 [size =\"30575616\"]\n  8 -> 17 [size =\"30575616\"]\n  9 [size=\"102017024\", alpha=\"0.00\", expect_size=\"51008512\"] \n  9 -> 18 [size =\"51008512\"]\n  10 [size=\"24711168\", alpha=\"0.04\", expect_size=\"12355584\"] \n  10 -> 15 [size =\"12355584\"]\n  11 [size=\"15796224\", alpha=\"0.19\", expect_size=\"7898112\"] \n  12 [size=\"30537728\", alpha=\"0.04\", expect_size=\"15268864\"] \n  12 -> 15 [size =\"15268864\"]\n  12 -> 16 [size =\"15268864\"]\n  12 -> 17 [size =\"15268864\"]\n  12 -> 18 [size =\"15268864\"]\n  13 [size=\"32190464\", alpha=\"0.18\", expect_size=\"16095232\"] \n  13 -> 15 [size =\"16095232\"]\n  14 [size=\"102670336\", alpha=\"0.11\", expect_size=\"51335168\"] \n  14 -> 16 [size =\"51335168\"]\n  14 -> 18 [size =\"51335168\"]\n  15 [size=\"95819776\", alpha=\"0.08\", expect_size=\"47909888\"] \n  16 [size=\"40327168\", alpha=\"0.16\", expect_size=\"20163584\"] \n  16 -> 20 [size =\"20163584\"]\n  17 [size=\"100362240\", alpha=\"0.19\", expect_size=\"50181120\"] \n  18 [size=\"76978176\", alpha=\"0.13\", expect_size=\"38489088\"] \n  19 [size=\"44445696\", alpha=\"0.01\", expect_size=\"22222848\"] \n  20 [size=\"45764608\", alpha=\"0.02\", expect_size=\"22882304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103618560\", alpha=\"0.02\", expect_size=\"31085568\"] \n  1 -> 2 [size =\"31085568\"]\n  2 [size=\"81814187\", alpha=\"0.10\", expect_size=\"24544256\"] \n  2 -> 3 [size =\"24544256\"]\n  3 [size=\"41383253\", alpha=\"0.03\", expect_size=\"12414976\"] \n  3 -> 4 [size =\"12414976\"]\n  4 [size=\"18903040\", alpha=\"0.11\", expect_size=\"5670912\"] \n  4 -> 5 [size =\"5670912\"]\n  5 [size=\"105086293\", alpha=\"0.12\", expect_size=\"31525888\"] \n  5 -> 6 [size =\"31525888\"]\n  6 [size=\"49602560\", alpha=\"0.10\", expect_size=\"14880768\"] \n  6 -> 7 [size =\"14880768\"]\n  7 [size=\"26241707\", alpha=\"0.04\", expect_size=\"7872512\"] \n  7 -> 8 [size =\"7872512\"]\n  8 [size=\"157409280\", alpha=\"0.05\", expect_size=\"47222784\"] \n  8 -> 9 [size =\"47222784\"]\n  9 [size=\"42048853\", alpha=\"0.02\", expect_size=\"12614656\"] \n  9 -> 10 [size =\"12614656\"]\n  10 [size=\"123037013\", alpha=\"0.08\", expect_size=\"36911104\"] \n  10 -> 11 [size =\"36911104\"]\n  11 [size=\"112530773\", alpha=\"0.03\", expect_size=\"33759232\"] \n  11 -> 12 [size =\"33759232\"]\n  12 [size=\"125071360\", alpha=\"0.08\", expect_size=\"37521408\"] \n  12 -> 13 [size =\"37521408\"]\n  13 [size=\"47906133\", alpha=\"0.09\", expect_size=\"14371840\"] \n  13 -> 14 [size =\"14371840\"]\n  14 [size=\"74888533\", alpha=\"0.15\", expect_size=\"22466560\"] \n  14 -> 15 [size =\"22466560\"]\n  15 [size=\"164908373\", alpha=\"0.06\", expect_size=\"49472512\"] \n  15 -> 16 [size =\"49472512\"]\n  16 [size=\"105441280\", alpha=\"0.01\", expect_size=\"31632384\"] \n  16 -> 17 [size =\"31632384\"]\n  17 [size=\"27555840\", alpha=\"0.03\", expect_size=\"8266752\"] \n  17 -> 18 [size =\"8266752\"]\n  18 [size=\"58586453\", alpha=\"0.17\", expect_size=\"17575936\"] \n  18 -> 19 [size =\"17575936\"]\n  19 [size=\"98464427\", alpha=\"0.13\", expect_size=\"29539328\"] \n  19 -> 20 [size =\"29539328\"]\n  20 [size=\"115524267\", alpha=\"0.17\", expect_size=\"34657280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76697600\", alpha=\"0.10\", expect_size=\"38348800\"] \n  1 -> 2 [size =\"38348800\"]\n  2 [size=\"25774080\", alpha=\"0.10\", expect_size=\"12887040\"] \n  2 -> 3 [size =\"12887040\"]\n  3 [size=\"65597440\", alpha=\"0.17\", expect_size=\"32798720\"] \n  3 -> 4 [size =\"32798720\"]\n  4 [size=\"24754176\", alpha=\"0.20\", expect_size=\"12377088\"] \n  4 -> 5 [size =\"12377088\"]\n  5 [size=\"60272640\", alpha=\"0.04\", expect_size=\"30136320\"] \n  5 -> 6 [size =\"30136320\"]\n  6 [size=\"61960192\", alpha=\"0.16\", expect_size=\"30980096\"] \n  6 -> 7 [size =\"30980096\"]\n  7 [size=\"103909376\", alpha=\"0.13\", expect_size=\"51954688\"] \n  7 -> 8 [size =\"51954688\"]\n  8 [size=\"90349568\", alpha=\"0.00\", expect_size=\"45174784\"] \n  8 -> 9 [size =\"45174784\"]\n  9 [size=\"78467072\", alpha=\"0.06\", expect_size=\"39233536\"] \n  9 -> 10 [size =\"39233536\"]\n  10 [size=\"20219904\", alpha=\"0.10\", expect_size=\"10109952\"] \n  10 -> 11 [size =\"10109952\"]\n  11 [size=\"92168192\", alpha=\"0.07\", expect_size=\"46084096\"] \n  11 -> 12 [size =\"46084096\"]\n  12 [size=\"44216320\", alpha=\"0.11\", expect_size=\"22108160\"] \n  12 -> 13 [size =\"22108160\"]\n  13 [size=\"89112576\", alpha=\"0.01\", expect_size=\"44556288\"] \n  13 -> 14 [size =\"44556288\"]\n  14 [size=\"76453888\", alpha=\"0.11\", expect_size=\"38226944\"] \n  14 -> 15 [size =\"38226944\"]\n  15 [size=\"75053056\", alpha=\"0.10\", expect_size=\"37526528\"] \n  15 -> 16 [size =\"37526528\"]\n  16 [size=\"91777024\", alpha=\"0.11\", expect_size=\"45888512\"] \n  16 -> 17 [size =\"45888512\"]\n  17 [size=\"71475200\", alpha=\"0.01\", expect_size=\"35737600\"] \n  17 -> 18 [size =\"35737600\"]\n  18 [size=\"38457344\", alpha=\"0.10\", expect_size=\"19228672\"] \n  18 -> 19 [size =\"19228672\"]\n  19 [size=\"39710720\", alpha=\"0.11\", expect_size=\"19855360\"] \n  19 -> 20 [size =\"19855360\"]\n  20 [size=\"67342336\", alpha=\"0.00\", expect_size=\"33671168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110149120\", alpha=\"0.01\", expect_size=\"44059648\"] \n  1 -> 13 [size =\"44059648\"]\n  2 [size=\"109624320\", alpha=\"0.01\", expect_size=\"43849728\"] \n  2 -> 8 [size =\"43849728\"]\n  2 -> 10 [size =\"43849728\"]\n  3 [size=\"74539520\", alpha=\"0.04\", expect_size=\"29815808\"] \n  3 -> 11 [size =\"29815808\"]\n  3 -> 12 [size =\"29815808\"]\n  3 -> 14 [size =\"29815808\"]\n  4 [size=\"89684480\", alpha=\"0.02\", expect_size=\"35873792\"] \n  4 -> 10 [size =\"35873792\"]\n  4 -> 14 [size =\"35873792\"]\n  5 [size=\"34209280\", alpha=\"0.18\", expect_size=\"13683712\"] \n  5 -> 12 [size =\"13683712\"]\n  6 [size=\"20682240\", alpha=\"0.06\", expect_size=\"8272896\"] \n  6 -> 9 [size =\"8272896\"]\n  6 -> 10 [size =\"8272896\"]\n  6 -> 14 [size =\"8272896\"]\n  7 [size=\"66611200\", alpha=\"0.07\", expect_size=\"26644480\"] \n  7 -> 10 [size =\"26644480\"]\n  7 -> 11 [size =\"26644480\"]\n  7 -> 14 [size =\"26644480\"]\n  8 [size=\"86325760\", alpha=\"0.09\", expect_size=\"34530304\"] \n  8 -> 15 [size =\"34530304\"]\n  8 -> 17 [size =\"34530304\"]\n  8 -> 18 [size =\"34530304\"]\n  8 -> 19 [size =\"34530304\"]\n  9 [size=\"50595840\", alpha=\"0.15\", expect_size=\"20238336\"] \n  9 -> 17 [size =\"20238336\"]\n  9 -> 17 [size =\"20238336\"]\n  9 -> 18 [size =\"20238336\"]\n  10 [size=\"36454400\", alpha=\"0.19\", expect_size=\"14581760\"] \n  10 -> 15 [size =\"14581760\"]\n  10 -> 16 [size =\"14581760\"]\n  10 -> 18 [size =\"14581760\"]\n  10 -> 19 [size =\"14581760\"]\n  10 -> 20 [size =\"14581760\"]\n  11 [size=\"97628160\", alpha=\"0.06\", expect_size=\"39051264\"] \n  11 -> 15 [size =\"39051264\"]\n  11 -> 19 [size =\"39051264\"]\n  12 [size=\"103313920\", alpha=\"0.06\", expect_size=\"41325568\"] \n  12 -> 15 [size =\"41325568\"]\n  13 [size=\"110958080\", alpha=\"0.04\", expect_size=\"44383232\"] \n  13 -> 15 [size =\"44383232\"]\n  13 -> 16 [size =\"44383232\"]\n  13 -> 17 [size =\"44383232\"]\n  13 -> 18 [size =\"44383232\"]\n  13 -> 19 [size =\"44383232\"]\n  14 [size=\"16074240\", alpha=\"0.13\", expect_size=\"6429696\"] \n  14 -> 17 [size =\"6429696\"]\n  14 -> 18 [size =\"6429696\"]\n  14 -> 19 [size =\"6429696\"]\n  14 -> 20 [size =\"6429696\"]\n  15 [size=\"28615680\", alpha=\"0.17\", expect_size=\"11446272\"] \n  16 [size=\"19425280\", alpha=\"0.09\", expect_size=\"7770112\"] \n  17 [size=\"56957440\", alpha=\"0.16\", expect_size=\"22782976\"] \n  18 [size=\"100695040\", alpha=\"0.14\", expect_size=\"40278016\"] \n  19 [size=\"37440000\", alpha=\"0.04\", expect_size=\"14976000\"] \n  20 [size=\"123750400\", alpha=\"0.01\", expect_size=\"49500160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66263040\", alpha=\"0.06\", expect_size=\"33131520\"] \n  2 [size=\"79095808\", alpha=\"0.01\", expect_size=\"39547904\"] \n  2 -> 3 [size =\"39547904\"]\n  3 [size=\"62392320\", alpha=\"0.10\", expect_size=\"31196160\"] \n  3 -> 4 [size =\"31196160\"]\n  4 [size=\"57866240\", alpha=\"0.07\", expect_size=\"28933120\"] \n  4 -> 5 [size =\"28933120\"]\n  5 [size=\"68497408\", alpha=\"0.06\", expect_size=\"34248704\"] \n  5 -> 6 [size =\"34248704\"]\n  6 [size=\"76472320\", alpha=\"0.04\", expect_size=\"38236160\"] \n  6 -> 7 [size =\"38236160\"]\n  6 -> 8 [size =\"38236160\"]\n  7 [size=\"23439360\", alpha=\"0.10\", expect_size=\"11719680\"] \n  7 -> 9 [size =\"11719680\"]\n  7 -> 10 [size =\"11719680\"]\n  8 [size=\"40763392\", alpha=\"0.08\", expect_size=\"20381696\"] \n  9 [size=\"79855616\", alpha=\"0.04\", expect_size=\"39927808\"] \n  9 -> 11 [size =\"39927808\"]\n  10 [size=\"22956032\", alpha=\"0.01\", expect_size=\"11478016\"] \n  11 [size=\"81936384\", alpha=\"0.02\", expect_size=\"40968192\"] \n  11 -> 12 [size =\"40968192\"]\n  12 [size=\"14092288\", alpha=\"0.05\", expect_size=\"7046144\"] \n  12 -> 13 [size =\"7046144\"]\n  12 -> 14 [size =\"7046144\"]\n  13 [size=\"19728384\", alpha=\"0.13\", expect_size=\"9864192\"] \n  13 -> 15 [size =\"9864192\"]\n  14 [size=\"66105344\", alpha=\"0.19\", expect_size=\"33052672\"] \n  15 [size=\"99563520\", alpha=\"0.08\", expect_size=\"49781760\"] \n  15 -> 16 [size =\"49781760\"]\n  15 -> 17 [size =\"49781760\"]\n  16 [size=\"34136064\", alpha=\"0.19\", expect_size=\"17068032\"] \n  16 -> 19 [size =\"17068032\"]\n  17 [size=\"54222848\", alpha=\"0.19\", expect_size=\"27111424\"] \n  17 -> 18 [size =\"27111424\"]\n  18 [size=\"101337088\", alpha=\"0.13\", expect_size=\"50668544\"] \n  19 [size=\"45142016\", alpha=\"0.17\", expect_size=\"22571008\"] \n  19 -> 20 [size =\"22571008\"]\n  20 [size=\"62515200\", alpha=\"0.15\", expect_size=\"31257600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13705216\", alpha=\"0.11\", expect_size=\"6852608\"] \n  1 -> 15 [size =\"6852608\"]\n  2 [size=\"72302592\", alpha=\"0.00\", expect_size=\"36151296\"] \n  2 -> 13 [size =\"36151296\"]\n  2 -> 16 [size =\"36151296\"]\n  2 -> 17 [size =\"36151296\"]\n  2 -> 19 [size =\"36151296\"]\n  2 -> 20 [size =\"36151296\"]\n  3 [size=\"19501056\", alpha=\"0.08\", expect_size=\"9750528\"] \n  3 -> 16 [size =\"9750528\"]\n  3 -> 18 [size =\"9750528\"]\n  3 -> 20 [size =\"9750528\"]\n  4 [size=\"11341824\", alpha=\"0.05\", expect_size=\"5670912\"] \n  4 -> 16 [size =\"5670912\"]\n  4 -> 17 [size =\"5670912\"]\n  4 -> 18 [size =\"5670912\"]\n  4 -> 20 [size =\"5670912\"]\n  5 [size=\"64192512\", alpha=\"0.03\", expect_size=\"32096256\"] \n  5 -> 16 [size =\"32096256\"]\n  5 -> 17 [size =\"32096256\"]\n  5 -> 18 [size =\"32096256\"]\n  5 -> 20 [size =\"32096256\"]\n  6 [size=\"81190912\", alpha=\"0.18\", expect_size=\"40595456\"] \n  6 -> 13 [size =\"40595456\"]\n  6 -> 15 [size =\"40595456\"]\n  7 [size=\"28135424\", alpha=\"0.18\", expect_size=\"14067712\"] \n  7 -> 17 [size =\"14067712\"]\n  8 [size=\"79847424\", alpha=\"0.16\", expect_size=\"39923712\"] \n  8 -> 14 [size =\"39923712\"]\n  8 -> 15 [size =\"39923712\"]\n  9 [size=\"59854848\", alpha=\"0.10\", expect_size=\"29927424\"] \n  9 -> 15 [size =\"29927424\"]\n  9 -> 15 [size =\"29927424\"]\n  9 -> 20 [size =\"29927424\"]\n  10 [size=\"40095744\", alpha=\"0.12\", expect_size=\"20047872\"] \n  10 -> 14 [size =\"20047872\"]\n  10 -> 17 [size =\"20047872\"]\n  10 -> 19 [size =\"20047872\"]\n  11 [size=\"64817152\", alpha=\"0.11\", expect_size=\"32408576\"] \n  11 -> 19 [size =\"32408576\"]\n  12 [size=\"22272000\", alpha=\"0.13\", expect_size=\"11136000\"] \n  12 -> 14 [size =\"11136000\"]\n  12 -> 15 [size =\"11136000\"]\n  12 -> 18 [size =\"11136000\"]\n  13 [size=\"22429696\", alpha=\"0.02\", expect_size=\"11214848\"] \n  14 [size=\"61427712\", alpha=\"0.06\", expect_size=\"30713856\"] \n  15 [size=\"82722816\", alpha=\"0.15\", expect_size=\"41361408\"] \n  16 [size=\"96067584\", alpha=\"0.06\", expect_size=\"48033792\"] \n  17 [size=\"84795392\", alpha=\"0.16\", expect_size=\"42397696\"] \n  18 [size=\"74823680\", alpha=\"0.11\", expect_size=\"37411840\"] \n  19 [size=\"56954880\", alpha=\"0.08\", expect_size=\"28477440\"] \n  20 [size=\"103155712\", alpha=\"0.03\", expect_size=\"51577856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88460800\", alpha=\"0.08\", expect_size=\"35384320\"] \n  1 -> 17 [size =\"35384320\"]\n  2 [size=\"83415040\", alpha=\"0.02\", expect_size=\"33366016\"] \n  2 -> 17 [size =\"33366016\"]\n  3 [size=\"96366080\", alpha=\"0.19\", expect_size=\"38546432\"] \n  3 -> 19 [size =\"38546432\"]\n  3 -> 20 [size =\"38546432\"]\n  4 [size=\"52282880\", alpha=\"0.17\", expect_size=\"20913152\"] \n  4 -> 17 [size =\"20913152\"]\n  4 -> 18 [size =\"20913152\"]\n  4 -> 20 [size =\"20913152\"]\n  5 [size=\"78161920\", alpha=\"0.00\", expect_size=\"31264768\"] \n  5 -> 17 [size =\"31264768\"]\n  5 -> 20 [size =\"31264768\"]\n  6 [size=\"104744960\", alpha=\"0.04\", expect_size=\"41897984\"] \n  6 -> 17 [size =\"41897984\"]\n  7 [size=\"52113920\", alpha=\"0.16\", expect_size=\"20845568\"] \n  7 -> 17 [size =\"20845568\"]\n  8 [size=\"128232960\", alpha=\"0.05\", expect_size=\"51293184\"] \n  9 [size=\"124116480\", alpha=\"0.03\", expect_size=\"49646592\"] \n  9 -> 17 [size =\"49646592\"]\n  9 -> 19 [size =\"49646592\"]\n  10 [size=\"123916800\", alpha=\"0.00\", expect_size=\"49566720\"] \n  10 -> 17 [size =\"49566720\"]\n  10 -> 18 [size =\"49566720\"]\n  11 [size=\"16268800\", alpha=\"0.11\", expect_size=\"6507520\"] \n  11 -> 17 [size =\"6507520\"]\n  11 -> 18 [size =\"6507520\"]\n  12 [size=\"65382400\", alpha=\"0.08\", expect_size=\"26152960\"] \n  12 -> 18 [size =\"26152960\"]\n  12 -> 18 [size =\"26152960\"]\n  13 [size=\"76057600\", alpha=\"0.01\", expect_size=\"30423040\"] \n  13 -> 17 [size =\"30423040\"]\n  13 -> 18 [size =\"30423040\"]\n  13 -> 19 [size =\"30423040\"]\n  14 [size=\"67868160\", alpha=\"0.10\", expect_size=\"27147264\"] \n  14 -> 17 [size =\"27147264\"]\n  14 -> 18 [size =\"27147264\"]\n  15 [size=\"47475200\", alpha=\"0.08\", expect_size=\"18990080\"] \n  15 -> 17 [size =\"18990080\"]\n  15 -> 18 [size =\"18990080\"]\n  16 [size=\"47703040\", alpha=\"0.16\", expect_size=\"19081216\"] \n  16 -> 17 [size =\"19081216\"]\n  17 [size=\"71395840\", alpha=\"0.08\", expect_size=\"28558336\"] \n  18 [size=\"47290880\", alpha=\"0.13\", expect_size=\"18916352\"] \n  19 [size=\"78420480\", alpha=\"0.07\", expect_size=\"31368192\"] \n  20 [size=\"98227200\", alpha=\"0.07\", expect_size=\"39290880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32548864\", alpha=\"0.10\", expect_size=\"16274432\"] \n  1 -> 14 [size =\"16274432\"]\n  1 -> 15 [size =\"16274432\"]\n  1 -> 17 [size =\"16274432\"]\n  1 -> 19 [size =\"16274432\"]\n  2 [size=\"102840320\", alpha=\"0.18\", expect_size=\"51420160\"] \n  2 -> 15 [size =\"51420160\"]\n  2 -> 16 [size =\"51420160\"]\n  2 -> 17 [size =\"51420160\"]\n  2 -> 18 [size =\"51420160\"]\n  2 -> 20 [size =\"51420160\"]\n  3 [size=\"95242240\", alpha=\"0.16\", expect_size=\"47621120\"] \n  3 -> 14 [size =\"47621120\"]\n  3 -> 16 [size =\"47621120\"]\n  3 -> 20 [size =\"47621120\"]\n  4 [size=\"57032704\", alpha=\"0.07\", expect_size=\"28516352\"] \n  4 -> 18 [size =\"28516352\"]\n  4 -> 19 [size =\"28516352\"]\n  5 [size=\"101054464\", alpha=\"0.01\", expect_size=\"50527232\"] \n  5 -> 17 [size =\"50527232\"]\n  5 -> 19 [size =\"50527232\"]\n  6 [size=\"19998720\", alpha=\"0.01\", expect_size=\"9999360\"] \n  6 -> 15 [size =\"9999360\"]\n  6 -> 17 [size =\"9999360\"]\n  6 -> 18 [size =\"9999360\"]\n  6 -> 19 [size =\"9999360\"]\n  6 -> 20 [size =\"9999360\"]\n  7 [size=\"51240960\", alpha=\"0.04\", expect_size=\"25620480\"] \n  7 -> 17 [size =\"25620480\"]\n  7 -> 17 [size =\"25620480\"]\n  7 -> 18 [size =\"25620480\"]\n  7 -> 19 [size =\"25620480\"]\n  8 [size=\"69351424\", alpha=\"0.13\", expect_size=\"34675712\"] \n  8 -> 14 [size =\"34675712\"]\n  8 -> 15 [size =\"34675712\"]\n  8 -> 17 [size =\"34675712\"]\n  8 -> 20 [size =\"34675712\"]\n  9 [size=\"81123328\", alpha=\"0.03\", expect_size=\"40561664\"] \n  9 -> 16 [size =\"40561664\"]\n  9 -> 17 [size =\"40561664\"]\n  9 -> 18 [size =\"40561664\"]\n  9 -> 19 [size =\"40561664\"]\n  9 -> 20 [size =\"40561664\"]\n  10 [size=\"82630656\", alpha=\"0.06\", expect_size=\"41315328\"] \n  10 -> 15 [size =\"41315328\"]\n  10 -> 16 [size =\"41315328\"]\n  10 -> 18 [size =\"41315328\"]\n  10 -> 20 [size =\"41315328\"]\n  11 [size=\"92379136\", alpha=\"0.00\", expect_size=\"46189568\"] \n  11 -> 17 [size =\"46189568\"]\n  11 -> 19 [size =\"46189568\"]\n  12 [size=\"44271616\", alpha=\"0.07\", expect_size=\"22135808\"] \n  12 -> 14 [size =\"22135808\"]\n  12 -> 15 [size =\"22135808\"]\n  12 -> 17 [size =\"22135808\"]\n  13 [size=\"34447360\", alpha=\"0.07\", expect_size=\"17223680\"] \n  13 -> 14 [size =\"17223680\"]\n  13 -> 16 [size =\"17223680\"]\n  13 -> 19 [size =\"17223680\"]\n  13 -> 20 [size =\"17223680\"]\n  14 [size=\"16459776\", alpha=\"0.03\", expect_size=\"8229888\"] \n  15 [size=\"51382272\", alpha=\"0.02\", expect_size=\"25691136\"] \n  16 [size=\"57313280\", alpha=\"0.12\", expect_size=\"28656640\"] \n  17 [size=\"61825024\", alpha=\"0.13\", expect_size=\"30912512\"] \n  18 [size=\"82010112\", alpha=\"0.16\", expect_size=\"41005056\"] \n  19 [size=\"47603712\", alpha=\"0.11\", expect_size=\"23801856\"] \n  20 [size=\"62152704\", alpha=\"0.17\", expect_size=\"31076352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62375936\", alpha=\"0.14\", expect_size=\"31187968\"] \n  1 -> 14 [size =\"31187968\"]\n  1 -> 15 [size =\"31187968\"]\n  1 -> 19 [size =\"31187968\"]\n  1 -> 20 [size =\"31187968\"]\n  2 [size=\"82395136\", alpha=\"0.10\", expect_size=\"41197568\"] \n  2 -> 14 [size =\"41197568\"]\n  2 -> 15 [size =\"41197568\"]\n  3 [size=\"22390784\", alpha=\"0.19\", expect_size=\"11195392\"] \n  3 -> 14 [size =\"11195392\"]\n  3 -> 15 [size =\"11195392\"]\n  3 -> 18 [size =\"11195392\"]\n  4 [size=\"88070144\", alpha=\"0.10\", expect_size=\"44035072\"] \n  4 -> 16 [size =\"44035072\"]\n  4 -> 18 [size =\"44035072\"]\n  4 -> 19 [size =\"44035072\"]\n  4 -> 20 [size =\"44035072\"]\n  5 [size=\"60600320\", alpha=\"0.01\", expect_size=\"30300160\"] \n  5 -> 14 [size =\"30300160\"]\n  5 -> 16 [size =\"30300160\"]\n  5 -> 18 [size =\"30300160\"]\n  5 -> 20 [size =\"30300160\"]\n  6 [size=\"17547264\", alpha=\"0.14\", expect_size=\"8773632\"] \n  6 -> 13 [size =\"8773632\"]\n  6 -> 14 [size =\"8773632\"]\n  6 -> 16 [size =\"8773632\"]\n  6 -> 18 [size =\"8773632\"]\n  6 -> 20 [size =\"8773632\"]\n  7 [size=\"15527936\", alpha=\"0.18\", expect_size=\"7763968\"] \n  7 -> 14 [size =\"7763968\"]\n  7 -> 16 [size =\"7763968\"]\n  7 -> 17 [size =\"7763968\"]\n  7 -> 18 [size =\"7763968\"]\n  7 -> 20 [size =\"7763968\"]\n  8 [size=\"19494912\", alpha=\"0.14\", expect_size=\"9747456\"] \n  8 -> 14 [size =\"9747456\"]\n  8 -> 15 [size =\"9747456\"]\n  8 -> 16 [size =\"9747456\"]\n  8 -> 20 [size =\"9747456\"]\n  9 [size=\"64944128\", alpha=\"0.19\", expect_size=\"32472064\"] \n  9 -> 14 [size =\"32472064\"]\n  9 -> 18 [size =\"32472064\"]\n  9 -> 20 [size =\"32472064\"]\n  10 [size=\"94308352\", alpha=\"0.07\", expect_size=\"47154176\"] \n  10 -> 14 [size =\"47154176\"]\n  10 -> 15 [size =\"47154176\"]\n  10 -> 16 [size =\"47154176\"]\n  10 -> 17 [size =\"47154176\"]\n  10 -> 20 [size =\"47154176\"]\n  11 [size=\"78018560\", alpha=\"0.08\", expect_size=\"39009280\"] \n  11 -> 14 [size =\"39009280\"]\n  11 -> 16 [size =\"39009280\"]\n  11 -> 17 [size =\"39009280\"]\n  11 -> 19 [size =\"39009280\"]\n  11 -> 20 [size =\"39009280\"]\n  12 [size=\"51529728\", alpha=\"0.07\", expect_size=\"25764864\"] \n  12 -> 14 [size =\"25764864\"]\n  12 -> 16 [size =\"25764864\"]\n  12 -> 19 [size =\"25764864\"]\n  12 -> 19 [size =\"25764864\"]\n  12 -> 20 [size =\"25764864\"]\n  13 [size=\"96516096\", alpha=\"0.04\", expect_size=\"48258048\"] \n  14 [size=\"92786688\", alpha=\"0.18\", expect_size=\"46393344\"] \n  15 [size=\"44132352\", alpha=\"0.13\", expect_size=\"22066176\"] \n  16 [size=\"48797696\", alpha=\"0.14\", expect_size=\"24398848\"] \n  17 [size=\"19544064\", alpha=\"0.04\", expect_size=\"9772032\"] \n  18 [size=\"10962944\", alpha=\"0.03\", expect_size=\"5481472\"] \n  19 [size=\"77815808\", alpha=\"0.09\", expect_size=\"38907904\"] \n  20 [size=\"73492480\", alpha=\"0.06\", expect_size=\"36746240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16181248\", alpha=\"0.18\", expect_size=\"8090624\"] \n  1 -> 16 [size =\"8090624\"]\n  1 -> 17 [size =\"8090624\"]\n  1 -> 18 [size =\"8090624\"]\n  1 -> 19 [size =\"8090624\"]\n  1 -> 20 [size =\"8090624\"]\n  2 [size=\"91938816\", alpha=\"0.09\", expect_size=\"45969408\"] \n  2 -> 19 [size =\"45969408\"]\n  2 -> 20 [size =\"45969408\"]\n  3 [size=\"24682496\", alpha=\"0.00\", expect_size=\"12341248\"] \n  3 -> 17 [size =\"12341248\"]\n  3 -> 18 [size =\"12341248\"]\n  3 -> 19 [size =\"12341248\"]\n  4 [size=\"22585344\", alpha=\"0.15\", expect_size=\"11292672\"] \n  4 -> 17 [size =\"11292672\"]\n  4 -> 18 [size =\"11292672\"]\n  4 -> 19 [size =\"11292672\"]\n  4 -> 20 [size =\"11292672\"]\n  5 [size=\"56307712\", alpha=\"0.09\", expect_size=\"28153856\"] \n  5 -> 18 [size =\"28153856\"]\n  5 -> 18 [size =\"28153856\"]\n  5 -> 19 [size =\"28153856\"]\n  6 [size=\"94717952\", alpha=\"0.20\", expect_size=\"47358976\"] \n  6 -> 16 [size =\"47358976\"]\n  6 -> 17 [size =\"47358976\"]\n  6 -> 18 [size =\"47358976\"]\n  6 -> 19 [size =\"47358976\"]\n  7 [size=\"49326080\", alpha=\"0.08\", expect_size=\"24663040\"] \n  7 -> 16 [size =\"24663040\"]\n  7 -> 18 [size =\"24663040\"]\n  7 -> 18 [size =\"24663040\"]\n  7 -> 19 [size =\"24663040\"]\n  8 [size=\"52709376\", alpha=\"0.02\", expect_size=\"26354688\"] \n  8 -> 16 [size =\"26354688\"]\n  8 -> 17 [size =\"26354688\"]\n  8 -> 18 [size =\"26354688\"]\n  8 -> 19 [size =\"26354688\"]\n  9 [size=\"22024192\", alpha=\"0.08\", expect_size=\"11012096\"] \n  9 -> 16 [size =\"11012096\"]\n  9 -> 18 [size =\"11012096\"]\n  9 -> 19 [size =\"11012096\"]\n  9 -> 19 [size =\"11012096\"]\n  10 [size=\"100503552\", alpha=\"0.02\", expect_size=\"50251776\"] \n  10 -> 16 [size =\"50251776\"]\n  10 -> 18 [size =\"50251776\"]\n  10 -> 20 [size =\"50251776\"]\n  11 [size=\"43206656\", alpha=\"0.15\", expect_size=\"21603328\"] \n  11 -> 16 [size =\"21603328\"]\n  11 -> 18 [size =\"21603328\"]\n  11 -> 19 [size =\"21603328\"]\n  11 -> 20 [size =\"21603328\"]\n  12 [size=\"32780288\", alpha=\"0.10\", expect_size=\"16390144\"] \n  12 -> 16 [size =\"16390144\"]\n  12 -> 18 [size =\"16390144\"]\n  12 -> 19 [size =\"16390144\"]\n  12 -> 20 [size =\"16390144\"]\n  13 [size=\"75419648\", alpha=\"0.06\", expect_size=\"37709824\"] \n  13 -> 16 [size =\"37709824\"]\n  13 -> 19 [size =\"37709824\"]\n  14 [size=\"76142592\", alpha=\"0.09\", expect_size=\"38071296\"] \n  14 -> 16 [size =\"38071296\"]\n  14 -> 17 [size =\"38071296\"]\n  14 -> 19 [size =\"38071296\"]\n  14 -> 20 [size =\"38071296\"]\n  15 [size=\"51884032\", alpha=\"0.11\", expect_size=\"25942016\"] \n  15 -> 16 [size =\"25942016\"]\n  15 -> 20 [size =\"25942016\"]\n  16 [size=\"94990336\", alpha=\"0.20\", expect_size=\"47495168\"] \n  17 [size=\"94801920\", alpha=\"0.00\", expect_size=\"47400960\"] \n  18 [size=\"40179712\", alpha=\"0.12\", expect_size=\"20089856\"] \n  19 [size=\"49797120\", alpha=\"0.17\", expect_size=\"24898560\"] \n  20 [size=\"88713216\", alpha=\"0.16\", expect_size=\"44356608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100927488\", alpha=\"0.15\", expect_size=\"50463744\"] \n  1 -> 4 [size =\"50463744\"]\n  2 [size=\"54226944\", alpha=\"0.19\", expect_size=\"27113472\"] \n  2 -> 5 [size =\"27113472\"]\n  2 -> 6 [size =\"27113472\"]\n  3 [size=\"102526976\", alpha=\"0.09\", expect_size=\"51263488\"] \n  3 -> 4 [size =\"51263488\"]\n  3 -> 6 [size =\"51263488\"]\n  4 [size=\"57411584\", alpha=\"0.08\", expect_size=\"28705792\"] \n  5 [size=\"43978752\", alpha=\"0.11\", expect_size=\"21989376\"] \n  5 -> 7 [size =\"21989376\"]\n  5 -> 9 [size =\"21989376\"]\n  6 [size=\"70213632\", alpha=\"0.14\", expect_size=\"35106816\"] \n  6 -> 8 [size =\"35106816\"]\n  6 -> 9 [size =\"35106816\"]\n  6 -> 10 [size =\"35106816\"]\n  7 [size=\"60755968\", alpha=\"0.01\", expect_size=\"30377984\"] \n  7 -> 11 [size =\"30377984\"]\n  7 -> 12 [size =\"30377984\"]\n  8 [size=\"24793088\", alpha=\"0.01\", expect_size=\"12396544\"] \n  8 -> 12 [size =\"12396544\"]\n  8 -> 12 [size =\"12396544\"]\n  9 [size=\"74846208\", alpha=\"0.06\", expect_size=\"37423104\"] \n  9 -> 14 [size =\"37423104\"]\n  10 [size=\"43190272\", alpha=\"0.11\", expect_size=\"21595136\"] \n  10 -> 13 [size =\"21595136\"]\n  11 [size=\"24631296\", alpha=\"0.02\", expect_size=\"12315648\"] \n  11 -> 16 [size =\"12315648\"]\n  11 -> 17 [size =\"12315648\"]\n  12 [size=\"96309248\", alpha=\"0.02\", expect_size=\"48154624\"] \n  12 -> 15 [size =\"48154624\"]\n  12 -> 17 [size =\"48154624\"]\n  13 [size=\"91553792\", alpha=\"0.09\", expect_size=\"45776896\"] \n  14 [size=\"41129984\", alpha=\"0.15\", expect_size=\"20564992\"] \n  14 -> 15 [size =\"20564992\"]\n  15 [size=\"80504832\", alpha=\"0.12\", expect_size=\"40252416\"] \n  15 -> 18 [size =\"40252416\"]\n  15 -> 20 [size =\"40252416\"]\n  16 [size=\"38180864\", alpha=\"0.18\", expect_size=\"19090432\"] \n  16 -> 19 [size =\"19090432\"]\n  16 -> 20 [size =\"19090432\"]\n  17 [size=\"102709248\", alpha=\"0.09\", expect_size=\"51354624\"] \n  17 -> 19 [size =\"51354624\"]\n  17 -> 20 [size =\"51354624\"]\n  18 [size=\"11606016\", alpha=\"0.01\", expect_size=\"5803008\"] \n  19 [size=\"18487296\", alpha=\"0.02\", expect_size=\"9243648\"] \n  20 [size=\"45873152\", alpha=\"0.17\", expect_size=\"22936576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93770240\", alpha=\"0.08\", expect_size=\"37508096\"] \n  1 -> 3 [size =\"37508096\"]\n  1 -> 4 [size =\"37508096\"]\n  1 -> 5 [size =\"37508096\"]\n  2 [size=\"88256000\", alpha=\"0.16\", expect_size=\"35302400\"] \n  2 -> 4 [size =\"35302400\"]\n  2 -> 6 [size =\"35302400\"]\n  3 [size=\"105495040\", alpha=\"0.19\", expect_size=\"42198016\"] \n  3 -> 9 [size =\"42198016\"]\n  3 -> 10 [size =\"42198016\"]\n  3 -> 11 [size =\"42198016\"]\n  4 [size=\"63019520\", alpha=\"0.09\", expect_size=\"25207808\"] \n  4 -> 8 [size =\"25207808\"]\n  4 -> 9 [size =\"25207808\"]\n  4 -> 10 [size =\"25207808\"]\n  4 -> 11 [size =\"25207808\"]\n  5 [size=\"42565120\", alpha=\"0.14\", expect_size=\"17026048\"] \n  5 -> 7 [size =\"17026048\"]\n  6 [size=\"101806080\", alpha=\"0.19\", expect_size=\"40722432\"] \n  6 -> 7 [size =\"40722432\"]\n  6 -> 8 [size =\"40722432\"]\n  6 -> 10 [size =\"40722432\"]\n  7 [size=\"72696320\", alpha=\"0.10\", expect_size=\"29078528\"] \n  8 [size=\"79070720\", alpha=\"0.05\", expect_size=\"31628288\"] \n  8 -> 12 [size =\"31628288\"]\n  8 -> 13 [size =\"31628288\"]\n  8 -> 14 [size =\"31628288\"]\n  9 [size=\"64384000\", alpha=\"0.15\", expect_size=\"25753600\"] \n  9 -> 12 [size =\"25753600\"]\n  10 [size=\"37818880\", alpha=\"0.08\", expect_size=\"15127552\"] \n  10 -> 13 [size =\"15127552\"]\n  10 -> 14 [size =\"15127552\"]\n  11 [size=\"126410240\", alpha=\"0.01\", expect_size=\"50564096\"] \n  11 -> 13 [size =\"50564096\"]\n  11 -> 14 [size =\"50564096\"]\n  12 [size=\"53017600\", alpha=\"0.12\", expect_size=\"21207040\"] \n  12 -> 15 [size =\"21207040\"]\n  12 -> 17 [size =\"21207040\"]\n  13 [size=\"27330560\", alpha=\"0.01\", expect_size=\"10932224\"] \n  13 -> 15 [size =\"10932224\"]\n  13 -> 16 [size =\"10932224\"]\n  13 -> 17 [size =\"10932224\"]\n  13 -> 18 [size =\"10932224\"]\n  14 [size=\"22558720\", alpha=\"0.15\", expect_size=\"9023488\"] \n  14 -> 16 [size =\"9023488\"]\n  14 -> 18 [size =\"9023488\"]\n  15 [size=\"76646400\", alpha=\"0.08\", expect_size=\"30658560\"] \n  15 -> 20 [size =\"30658560\"]\n  16 [size=\"42603520\", alpha=\"0.12\", expect_size=\"17041408\"] \n  16 -> 19 [size =\"17041408\"]\n  17 [size=\"35998720\", alpha=\"0.03\", expect_size=\"14399488\"] \n  17 -> 20 [size =\"14399488\"]\n  18 [size=\"92078080\", alpha=\"0.19\", expect_size=\"36831232\"] \n  18 -> 19 [size =\"36831232\"]\n  18 -> 20 [size =\"36831232\"]\n  19 [size=\"118681600\", alpha=\"0.18\", expect_size=\"47472640\"] \n  20 [size=\"91929600\", alpha=\"0.04\", expect_size=\"36771840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86623573\", alpha=\"0.11\", expect_size=\"25987072\"] \n  1 -> 2 [size =\"25987072\"]\n  2 [size=\"93457067\", alpha=\"0.20\", expect_size=\"28037120\"] \n  2 -> 3 [size =\"28037120\"]\n  2 -> 4 [size =\"28037120\"]\n  3 [size=\"72710827\", alpha=\"0.03\", expect_size=\"21813248\"] \n  3 -> 5 [size =\"21813248\"]\n  4 [size=\"45824000\", alpha=\"0.10\", expect_size=\"13747200\"] \n  4 -> 5 [size =\"13747200\"]\n  5 [size=\"78465707\", alpha=\"0.10\", expect_size=\"23539712\"] \n  5 -> 6 [size =\"23539712\"]\n  5 -> 7 [size =\"23539712\"]\n  6 [size=\"150353920\", alpha=\"0.17\", expect_size=\"45106176\"] \n  7 [size=\"51677867\", alpha=\"0.18\", expect_size=\"15503360\"] \n  7 -> 8 [size =\"15503360\"]\n  8 [size=\"50967893\", alpha=\"0.16\", expect_size=\"15290368\"] \n  8 -> 9 [size =\"15290368\"]\n  8 -> 10 [size =\"15290368\"]\n  9 [size=\"86258347\", alpha=\"0.12\", expect_size=\"25877504\"] \n  10 [size=\"18264747\", alpha=\"0.14\", expect_size=\"5479424\"] \n  10 -> 11 [size =\"5479424\"]\n  11 [size=\"27371520\", alpha=\"0.11\", expect_size=\"8211456\"] \n  11 -> 12 [size =\"8211456\"]\n  11 -> 13 [size =\"8211456\"]\n  12 [size=\"114223787\", alpha=\"0.04\", expect_size=\"34267136\"] \n  12 -> 14 [size =\"34267136\"]\n  13 [size=\"110564693\", alpha=\"0.11\", expect_size=\"33169408\"] \n  13 -> 14 [size =\"33169408\"]\n  13 -> 15 [size =\"33169408\"]\n  14 [size=\"133864107\", alpha=\"0.01\", expect_size=\"40159232\"] \n  14 -> 16 [size =\"40159232\"]\n  15 [size=\"53766827\", alpha=\"0.10\", expect_size=\"16130048\"] \n  15 -> 17 [size =\"16130048\"]\n  16 [size=\"129918293\", alpha=\"0.13\", expect_size=\"38975488\"] \n  17 [size=\"105468587\", alpha=\"0.14\", expect_size=\"31640576\"] \n  17 -> 18 [size =\"31640576\"]\n  18 [size=\"89282560\", alpha=\"0.19\", expect_size=\"26784768\"] \n  18 -> 19 [size =\"26784768\"]\n  19 [size=\"58736640\", alpha=\"0.04\", expect_size=\"17620992\"] \n  19 -> 20 [size =\"17620992\"]\n  20 [size=\"155545600\", alpha=\"0.10\", expect_size=\"46663680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18766507\", alpha=\"0.17\", expect_size=\"5629952\"] \n  2 [size=\"93979307\", alpha=\"0.08\", expect_size=\"28193792\"] \n  3 [size=\"105168213\", alpha=\"0.12\", expect_size=\"31550464\"] \n  3 -> 13 [size =\"31550464\"]\n  4 [size=\"62518613\", alpha=\"0.18\", expect_size=\"18755584\"] \n  4 -> 15 [size =\"18755584\"]\n  5 [size=\"130304000\", alpha=\"0.15\", expect_size=\"39091200\"] \n  5 -> 14 [size =\"39091200\"]\n  6 [size=\"129351680\", alpha=\"0.01\", expect_size=\"38805504\"] \n  6 -> 12 [size =\"38805504\"]\n  6 -> 15 [size =\"38805504\"]\n  7 [size=\"138222933\", alpha=\"0.06\", expect_size=\"41466880\"] \n  8 [size=\"119173120\", alpha=\"0.00\", expect_size=\"35751936\"] \n  8 -> 13 [size =\"35751936\"]\n  8 -> 15 [size =\"35751936\"]\n  9 [size=\"100601173\", alpha=\"0.15\", expect_size=\"30180352\"] \n  10 [size=\"96808960\", alpha=\"0.18\", expect_size=\"29042688\"] \n  10 -> 13 [size =\"29042688\"]\n  11 [size=\"141636267\", alpha=\"0.04\", expect_size=\"42490880\"] \n  12 [size=\"118241280\", alpha=\"0.06\", expect_size=\"35472384\"] \n  12 -> 16 [size =\"35472384\"]\n  12 -> 18 [size =\"35472384\"]\n  12 -> 20 [size =\"35472384\"]\n  13 [size=\"23934293\", alpha=\"0.17\", expect_size=\"7180288\"] \n  13 -> 19 [size =\"7180288\"]\n  13 -> 20 [size =\"7180288\"]\n  14 [size=\"116039680\", alpha=\"0.01\", expect_size=\"34811904\"] \n  14 -> 17 [size =\"34811904\"]\n  15 [size=\"101867520\", alpha=\"0.13\", expect_size=\"30560256\"] \n  15 -> 17 [size =\"30560256\"]\n  15 -> 18 [size =\"30560256\"]\n  16 [size=\"65737387\", alpha=\"0.02\", expect_size=\"19721216\"] \n  17 [size=\"75397120\", alpha=\"0.17\", expect_size=\"22619136\"] \n  18 [size=\"120234667\", alpha=\"0.05\", expect_size=\"36070400\"] \n  19 [size=\"121251840\", alpha=\"0.10\", expect_size=\"36375552\"] \n  20 [size=\"85565440\", alpha=\"0.14\", expect_size=\"25669632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68720640\", alpha=\"0.00\", expect_size=\"27488256\"] \n  1 -> 12 [size =\"27488256\"]\n  1 -> 12 [size =\"27488256\"]\n  1 -> 13 [size =\"27488256\"]\n  2 [size=\"80675840\", alpha=\"0.16\", expect_size=\"32270336\"] \n  2 -> 13 [size =\"32270336\"]\n  2 -> 15 [size =\"32270336\"]\n  3 [size=\"109296640\", alpha=\"0.02\", expect_size=\"43718656\"] \n  3 -> 9 [size =\"43718656\"]\n  3 -> 10 [size =\"43718656\"]\n  3 -> 11 [size =\"43718656\"]\n  3 -> 12 [size =\"43718656\"]\n  4 [size=\"130460160\", alpha=\"0.08\", expect_size=\"52184064\"] \n  4 -> 9 [size =\"52184064\"]\n  4 -> 10 [size =\"52184064\"]\n  4 -> 11 [size =\"52184064\"]\n  4 -> 12 [size =\"52184064\"]\n  4 -> 13 [size =\"52184064\"]\n  4 -> 14 [size =\"52184064\"]\n  5 [size=\"84070400\", alpha=\"0.11\", expect_size=\"33628160\"] \n  5 -> 11 [size =\"33628160\"]\n  5 -> 12 [size =\"33628160\"]\n  5 -> 13 [size =\"33628160\"]\n  6 [size=\"48184320\", alpha=\"0.16\", expect_size=\"19273728\"] \n  6 -> 9 [size =\"19273728\"]\n  6 -> 10 [size =\"19273728\"]\n  6 -> 11 [size =\"19273728\"]\n  6 -> 12 [size =\"19273728\"]\n  6 -> 13 [size =\"19273728\"]\n  7 [size=\"35302400\", alpha=\"0.08\", expect_size=\"14120960\"] \n  7 -> 11 [size =\"14120960\"]\n  7 -> 12 [size =\"14120960\"]\n  7 -> 13 [size =\"14120960\"]\n  7 -> 15 [size =\"14120960\"]\n  8 [size=\"112757760\", alpha=\"0.13\", expect_size=\"45103104\"] \n  8 -> 11 [size =\"45103104\"]\n  8 -> 12 [size =\"45103104\"]\n  8 -> 13 [size =\"45103104\"]\n  8 -> 14 [size =\"45103104\"]\n  9 [size=\"28016640\", alpha=\"0.05\", expect_size=\"11206656\"] \n  9 -> 16 [size =\"11206656\"]\n  9 -> 18 [size =\"11206656\"]\n  9 -> 19 [size =\"11206656\"]\n  9 -> 20 [size =\"11206656\"]\n  10 [size=\"56320000\", alpha=\"0.12\", expect_size=\"22528000\"] \n  10 -> 16 [size =\"22528000\"]\n  11 [size=\"79434240\", alpha=\"0.04\", expect_size=\"31773696\"] \n  11 -> 16 [size =\"31773696\"]\n  11 -> 18 [size =\"31773696\"]\n  11 -> 19 [size =\"31773696\"]\n  12 [size=\"81497600\", alpha=\"0.04\", expect_size=\"32599040\"] \n  12 -> 18 [size =\"32599040\"]\n  12 -> 18 [size =\"32599040\"]\n  12 -> 19 [size =\"32599040\"]\n  13 [size=\"60451840\", alpha=\"0.16\", expect_size=\"24180736\"] \n  13 -> 17 [size =\"24180736\"]\n  13 -> 20 [size =\"24180736\"]\n  14 [size=\"69560320\", alpha=\"0.04\", expect_size=\"27824128\"] \n  14 -> 18 [size =\"27824128\"]\n  14 -> 20 [size =\"27824128\"]\n  15 [size=\"115811840\", alpha=\"0.16\", expect_size=\"46324736\"] \n  15 -> 16 [size =\"46324736\"]\n  15 -> 18 [size =\"46324736\"]\n  15 -> 20 [size =\"46324736\"]\n  16 [size=\"65356800\", alpha=\"0.15\", expect_size=\"26142720\"] \n  17 [size=\"40565760\", alpha=\"0.13\", expect_size=\"16226304\"] \n  18 [size=\"89213440\", alpha=\"0.10\", expect_size=\"35685376\"] \n  19 [size=\"48263680\", alpha=\"0.11\", expect_size=\"19305472\"] \n  20 [size=\"76039680\", alpha=\"0.02\", expect_size=\"30415872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86787413\", alpha=\"0.05\", expect_size=\"26036224\"] \n  1 -> 2 [size =\"26036224\"]\n  2 [size=\"121545387\", alpha=\"0.07\", expect_size=\"36463616\"] \n  2 -> 3 [size =\"36463616\"]\n  3 [size=\"108762453\", alpha=\"0.05\", expect_size=\"32628736\"] \n  3 -> 4 [size =\"32628736\"]\n  4 [size=\"154661547\", alpha=\"0.19\", expect_size=\"46398464\"] \n  4 -> 5 [size =\"46398464\"]\n  5 [size=\"104260267\", alpha=\"0.11\", expect_size=\"31278080\"] \n  5 -> 6 [size =\"31278080\"]\n  6 [size=\"20920320\", alpha=\"0.07\", expect_size=\"6276096\"] \n  6 -> 7 [size =\"6276096\"]\n  7 [size=\"113257813\", alpha=\"0.17\", expect_size=\"33977344\"] \n  7 -> 8 [size =\"33977344\"]\n  8 [size=\"57582933\", alpha=\"0.13\", expect_size=\"17274880\"] \n  8 -> 9 [size =\"17274880\"]\n  9 [size=\"132246187\", alpha=\"0.04\", expect_size=\"39673856\"] \n  9 -> 10 [size =\"39673856\"]\n  10 [size=\"54818133\", alpha=\"0.07\", expect_size=\"16445440\"] \n  10 -> 11 [size =\"16445440\"]\n  11 [size=\"19292160\", alpha=\"0.03\", expect_size=\"5787648\"] \n  11 -> 12 [size =\"5787648\"]\n  12 [size=\"62286507\", alpha=\"0.20\", expect_size=\"18685952\"] \n  12 -> 13 [size =\"18685952\"]\n  13 [size=\"113855147\", alpha=\"0.10\", expect_size=\"34156544\"] \n  13 -> 14 [size =\"34156544\"]\n  14 [size=\"149548373\", alpha=\"0.12\", expect_size=\"44864512\"] \n  14 -> 15 [size =\"44864512\"]\n  15 [size=\"142325760\", alpha=\"0.11\", expect_size=\"42697728\"] \n  15 -> 16 [size =\"42697728\"]\n  16 [size=\"74253653\", alpha=\"0.08\", expect_size=\"22276096\"] \n  16 -> 17 [size =\"22276096\"]\n  17 [size=\"131498667\", alpha=\"0.14\", expect_size=\"39449600\"] \n  17 -> 18 [size =\"39449600\"]\n  18 [size=\"108076373\", alpha=\"0.19\", expect_size=\"32422912\"] \n  18 -> 19 [size =\"32422912\"]\n  19 [size=\"53278720\", alpha=\"0.11\", expect_size=\"15983616\"] \n  19 -> 20 [size =\"15983616\"]\n  20 [size=\"81005227\", alpha=\"0.15\", expect_size=\"24301568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42754560\", alpha=\"0.08\", expect_size=\"17101824\"] \n  1 -> 8 [size =\"17101824\"]\n  2 [size=\"15011840\", alpha=\"0.11\", expect_size=\"6004736\"] \n  2 -> 8 [size =\"6004736\"]\n  2 -> 10 [size =\"6004736\"]\n  3 [size=\"31168000\", alpha=\"0.14\", expect_size=\"12467200\"] \n  3 -> 8 [size =\"12467200\"]\n  3 -> 9 [size =\"12467200\"]\n  4 [size=\"24757760\", alpha=\"0.17\", expect_size=\"9903104\"] \n  4 -> 11 [size =\"9903104\"]\n  4 -> 12 [size =\"9903104\"]\n  4 -> 13 [size =\"9903104\"]\n  5 [size=\"64821760\", alpha=\"0.03\", expect_size=\"25928704\"] \n  5 -> 9 [size =\"25928704\"]\n  5 -> 13 [size =\"25928704\"]\n  5 -> 14 [size =\"25928704\"]\n  6 [size=\"21145600\", alpha=\"0.11\", expect_size=\"8458240\"] \n  6 -> 8 [size =\"8458240\"]\n  6 -> 9 [size =\"8458240\"]\n  6 -> 12 [size =\"8458240\"]\n  6 -> 14 [size =\"8458240\"]\n  7 [size=\"60579840\", alpha=\"0.18\", expect_size=\"24231936\"] \n  7 -> 8 [size =\"24231936\"]\n  7 -> 11 [size =\"24231936\"]\n  7 -> 12 [size =\"24231936\"]\n  7 -> 14 [size =\"24231936\"]\n  7 -> 15 [size =\"24231936\"]\n  8 [size=\"43750400\", alpha=\"0.20\", expect_size=\"17500160\"] \n  8 -> 18 [size =\"17500160\"]\n  8 -> 20 [size =\"17500160\"]\n  9 [size=\"60769280\", alpha=\"0.20\", expect_size=\"24307712\"] \n  9 -> 17 [size =\"24307712\"]\n  9 -> 19 [size =\"24307712\"]\n  10 [size=\"51417600\", alpha=\"0.10\", expect_size=\"20567040\"] \n  10 -> 18 [size =\"20567040\"]\n  10 -> 19 [size =\"20567040\"]\n  11 [size=\"99169280\", alpha=\"0.16\", expect_size=\"39667712\"] \n  11 -> 18 [size =\"39667712\"]\n  11 -> 19 [size =\"39667712\"]\n  12 [size=\"28236800\", alpha=\"0.20\", expect_size=\"11294720\"] \n  12 -> 19 [size =\"11294720\"]\n  13 [size=\"92060160\", alpha=\"0.13\", expect_size=\"36824064\"] \n  13 -> 16 [size =\"36824064\"]\n  13 -> 18 [size =\"36824064\"]\n  14 [size=\"59243520\", alpha=\"0.05\", expect_size=\"23697408\"] \n  14 -> 17 [size =\"23697408\"]\n  15 [size=\"42137600\", alpha=\"0.12\", expect_size=\"16855040\"] \n  15 -> 17 [size =\"16855040\"]\n  15 -> 18 [size =\"16855040\"]\n  16 [size=\"56906240\", alpha=\"0.04\", expect_size=\"22762496\"] \n  17 [size=\"124666880\", alpha=\"0.07\", expect_size=\"49866752\"] \n  18 [size=\"111838720\", alpha=\"0.13\", expect_size=\"44735488\"] \n  19 [size=\"110113280\", alpha=\"0.01\", expect_size=\"44045312\"] \n  20 [size=\"108139520\", alpha=\"0.18\", expect_size=\"43255808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125764267\", alpha=\"0.07\", expect_size=\"37729280\"] \n  1 -> 2 [size =\"37729280\"]\n  1 -> 3 [size =\"37729280\"]\n  2 [size=\"134266880\", alpha=\"0.09\", expect_size=\"40280064\"] \n  2 -> 4 [size =\"40280064\"]\n  3 [size=\"164061867\", alpha=\"0.01\", expect_size=\"49218560\"] \n  3 -> 4 [size =\"49218560\"]\n  4 [size=\"32808960\", alpha=\"0.15\", expect_size=\"9842688\"] \n  4 -> 5 [size =\"9842688\"]\n  4 -> 6 [size =\"9842688\"]\n  5 [size=\"137134080\", alpha=\"0.16\", expect_size=\"41140224\"] \n  5 -> 7 [size =\"41140224\"]\n  6 [size=\"114350080\", alpha=\"0.12\", expect_size=\"34305024\"] \n  6 -> 7 [size =\"34305024\"]\n  6 -> 8 [size =\"34305024\"]\n  7 [size=\"140175360\", alpha=\"0.12\", expect_size=\"42052608\"] \n  7 -> 9 [size =\"42052608\"]\n  8 [size=\"124061013\", alpha=\"0.19\", expect_size=\"37218304\"] \n  8 -> 9 [size =\"37218304\"]\n  9 [size=\"83995307\", alpha=\"0.02\", expect_size=\"25198592\"] \n  9 -> 10 [size =\"25198592\"]\n  9 -> 11 [size =\"25198592\"]\n  10 [size=\"136024747\", alpha=\"0.13\", expect_size=\"40807424\"] \n  10 -> 12 [size =\"40807424\"]\n  10 -> 13 [size =\"40807424\"]\n  11 [size=\"122057387\", alpha=\"0.00\", expect_size=\"36617216\"] \n  11 -> 12 [size =\"36617216\"]\n  11 -> 13 [size =\"36617216\"]\n  12 [size=\"22838613\", alpha=\"0.13\", expect_size=\"6851584\"] \n  12 -> 14 [size =\"6851584\"]\n  13 [size=\"96481280\", alpha=\"0.18\", expect_size=\"28944384\"] \n  13 -> 14 [size =\"28944384\"]\n  14 [size=\"100717227\", alpha=\"0.01\", expect_size=\"30215168\"] \n  14 -> 15 [size =\"30215168\"]\n  15 [size=\"59473920\", alpha=\"0.09\", expect_size=\"17842176\"] \n  15 -> 16 [size =\"17842176\"]\n  16 [size=\"30706347\", alpha=\"0.12\", expect_size=\"9211904\"] \n  16 -> 17 [size =\"9211904\"]\n  16 -> 18 [size =\"9211904\"]\n  17 [size=\"122354347\", alpha=\"0.11\", expect_size=\"36706304\"] \n  17 -> 19 [size =\"36706304\"]\n  17 -> 20 [size =\"36706304\"]\n  18 [size=\"59002880\", alpha=\"0.05\", expect_size=\"17700864\"] \n  18 -> 20 [size =\"17700864\"]\n  19 [size=\"49998507\", alpha=\"0.14\", expect_size=\"14999552\"] \n  20 [size=\"65884160\", alpha=\"0.07\", expect_size=\"19765248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66380800\", alpha=\"0.15\", expect_size=\"26552320\"] \n  1 -> 15 [size =\"26552320\"]\n  2 [size=\"56803840\", alpha=\"0.12\", expect_size=\"22721536\"] \n  2 -> 15 [size =\"22721536\"]\n  2 -> 16 [size =\"22721536\"]\n  3 [size=\"28454400\", alpha=\"0.07\", expect_size=\"11381760\"] \n  3 -> 16 [size =\"11381760\"]\n  3 -> 18 [size =\"11381760\"]\n  3 -> 19 [size =\"11381760\"]\n  4 [size=\"31109120\", alpha=\"0.12\", expect_size=\"12443648\"] \n  4 -> 18 [size =\"12443648\"]\n  5 [size=\"123991040\", alpha=\"0.16\", expect_size=\"49596416\"] \n  6 [size=\"92638720\", alpha=\"0.14\", expect_size=\"37055488\"] \n  6 -> 16 [size =\"37055488\"]\n  6 -> 19 [size =\"37055488\"]\n  7 [size=\"41479680\", alpha=\"0.11\", expect_size=\"16591872\"] \n  7 -> 15 [size =\"16591872\"]\n  7 -> 16 [size =\"16591872\"]\n  7 -> 18 [size =\"16591872\"]\n  8 [size=\"28546560\", alpha=\"0.12\", expect_size=\"11418624\"] \n  8 -> 16 [size =\"11418624\"]\n  8 -> 19 [size =\"11418624\"]\n  9 [size=\"85568000\", alpha=\"0.01\", expect_size=\"34227200\"] \n  9 -> 16 [size =\"34227200\"]\n  9 -> 19 [size =\"34227200\"]\n  10 [size=\"78144000\", alpha=\"0.13\", expect_size=\"31257600\"] \n  10 -> 18 [size =\"31257600\"]\n  11 [size=\"49991680\", alpha=\"0.03\", expect_size=\"19996672\"] \n  11 -> 18 [size =\"19996672\"]\n  12 [size=\"18519040\", alpha=\"0.09\", expect_size=\"7407616\"] \n  12 -> 18 [size =\"7407616\"]\n  12 -> 19 [size =\"7407616\"]\n  12 -> 20 [size =\"7407616\"]\n  13 [size=\"87436800\", alpha=\"0.06\", expect_size=\"34974720\"] \n  14 [size=\"129569280\", alpha=\"0.04\", expect_size=\"51827712\"] \n  14 -> 17 [size =\"51827712\"]\n  15 [size=\"81095680\", alpha=\"0.10\", expect_size=\"32438272\"] \n  16 [size=\"57940480\", alpha=\"0.16\", expect_size=\"23176192\"] \n  17 [size=\"24046080\", alpha=\"0.01\", expect_size=\"9618432\"] \n  18 [size=\"88499200\", alpha=\"0.14\", expect_size=\"35399680\"] \n  19 [size=\"38760960\", alpha=\"0.15\", expect_size=\"15504384\"] \n  20 [size=\"45294080\", alpha=\"0.11\", expect_size=\"18117632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169635840\", alpha=\"0.15\", expect_size=\"50890752\"] \n  2 [size=\"17534293\", alpha=\"0.08\", expect_size=\"5260288\"] \n  2 -> 4 [size =\"5260288\"]\n  2 -> 6 [size =\"5260288\"]\n  3 [size=\"51172693\", alpha=\"0.07\", expect_size=\"15351808\"] \n  3 -> 5 [size =\"15351808\"]\n  4 [size=\"141598720\", alpha=\"0.04\", expect_size=\"42479616\"] \n  4 -> 7 [size =\"42479616\"]\n  5 [size=\"152074240\", alpha=\"0.08\", expect_size=\"45622272\"] \n  5 -> 8 [size =\"45622272\"]\n  5 -> 9 [size =\"45622272\"]\n  6 [size=\"39031467\", alpha=\"0.08\", expect_size=\"11709440\"] \n  6 -> 8 [size =\"11709440\"]\n  6 -> 9 [size =\"11709440\"]\n  6 -> 10 [size =\"11709440\"]\n  7 [size=\"48820907\", alpha=\"0.07\", expect_size=\"14646272\"] \n  7 -> 11 [size =\"14646272\"]\n  7 -> 12 [size =\"14646272\"]\n  7 -> 14 [size =\"14646272\"]\n  8 [size=\"50698240\", alpha=\"0.15\", expect_size=\"15209472\"] \n  8 -> 11 [size =\"15209472\"]\n  8 -> 13 [size =\"15209472\"]\n  9 [size=\"146264747\", alpha=\"0.19\", expect_size=\"43879424\"] \n  10 [size=\"86647467\", alpha=\"0.00\", expect_size=\"25994240\"] \n  10 -> 12 [size =\"25994240\"]\n  11 [size=\"53401600\", alpha=\"0.17\", expect_size=\"16020480\"] \n  11 -> 15 [size =\"16020480\"]\n  11 -> 16 [size =\"16020480\"]\n  12 [size=\"174660267\", alpha=\"0.02\", expect_size=\"52398080\"] \n  13 [size=\"76967253\", alpha=\"0.07\", expect_size=\"23090176\"] \n  14 [size=\"129303893\", alpha=\"0.20\", expect_size=\"38791168\"] \n  14 -> 16 [size =\"38791168\"]\n  15 [size=\"160109227\", alpha=\"0.05\", expect_size=\"48032768\"] \n  15 -> 17 [size =\"48032768\"]\n  15 -> 19 [size =\"48032768\"]\n  16 [size=\"62607360\", alpha=\"0.15\", expect_size=\"18782208\"] \n  16 -> 18 [size =\"18782208\"]\n  16 -> 20 [size =\"18782208\"]\n  17 [size=\"124753920\", alpha=\"0.19\", expect_size=\"37426176\"] \n  18 [size=\"22142293\", alpha=\"0.15\", expect_size=\"6642688\"] \n  19 [size=\"142670507\", alpha=\"0.19\", expect_size=\"42801152\"] \n  20 [size=\"131242667\", alpha=\"0.13\", expect_size=\"39372800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96877227\", alpha=\"0.08\", expect_size=\"29063168\"] \n  1 -> 2 [size =\"29063168\"]\n  2 [size=\"35273387\", alpha=\"0.03\", expect_size=\"10582016\"] \n  2 -> 3 [size =\"10582016\"]\n  3 [size=\"133526187\", alpha=\"0.09\", expect_size=\"40057856\"] \n  3 -> 4 [size =\"40057856\"]\n  4 [size=\"152494080\", alpha=\"0.11\", expect_size=\"45748224\"] \n  4 -> 5 [size =\"45748224\"]\n  5 [size=\"70638933\", alpha=\"0.04\", expect_size=\"21191680\"] \n  5 -> 6 [size =\"21191680\"]\n  6 [size=\"139366400\", alpha=\"0.18\", expect_size=\"41809920\"] \n  6 -> 7 [size =\"41809920\"]\n  7 [size=\"130061653\", alpha=\"0.01\", expect_size=\"39018496\"] \n  7 -> 8 [size =\"39018496\"]\n  8 [size=\"163747840\", alpha=\"0.01\", expect_size=\"49124352\"] \n  8 -> 9 [size =\"49124352\"]\n  9 [size=\"66218667\", alpha=\"0.05\", expect_size=\"19865600\"] \n  9 -> 10 [size =\"19865600\"]\n  10 [size=\"136997547\", alpha=\"0.09\", expect_size=\"41099264\"] \n  10 -> 11 [size =\"41099264\"]\n  11 [size=\"145872213\", alpha=\"0.14\", expect_size=\"43761664\"] \n  11 -> 12 [size =\"43761664\"]\n  12 [size=\"48537600\", alpha=\"0.06\", expect_size=\"14561280\"] \n  12 -> 13 [size =\"14561280\"]\n  13 [size=\"71331840\", alpha=\"0.08\", expect_size=\"21399552\"] \n  13 -> 14 [size =\"21399552\"]\n  14 [size=\"141547520\", alpha=\"0.08\", expect_size=\"42464256\"] \n  14 -> 15 [size =\"42464256\"]\n  15 [size=\"68621653\", alpha=\"0.03\", expect_size=\"20586496\"] \n  15 -> 16 [size =\"20586496\"]\n  16 [size=\"100904960\", alpha=\"0.02\", expect_size=\"30271488\"] \n  16 -> 17 [size =\"30271488\"]\n  17 [size=\"82657280\", alpha=\"0.18\", expect_size=\"24797184\"] \n  17 -> 18 [size =\"24797184\"]\n  18 [size=\"89128960\", alpha=\"0.09\", expect_size=\"26738688\"] \n  18 -> 19 [size =\"26738688\"]\n  19 [size=\"95931733\", alpha=\"0.05\", expect_size=\"28779520\"] \n  19 -> 20 [size =\"28779520\"]\n  20 [size=\"132809387\", alpha=\"0.05\", expect_size=\"39842816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110382080\", alpha=\"0.16\", expect_size=\"44152832\"] \n  2 [size=\"32378880\", alpha=\"0.11\", expect_size=\"12951552\"] \n  2 -> 20 [size =\"12951552\"]\n  3 [size=\"129000960\", alpha=\"0.15\", expect_size=\"51600384\"] \n  4 [size=\"73702400\", alpha=\"0.20\", expect_size=\"29480960\"] \n  5 [size=\"105538560\", alpha=\"0.06\", expect_size=\"42215424\"] \n  5 -> 20 [size =\"42215424\"]\n  6 [size=\"99683840\", alpha=\"0.08\", expect_size=\"39873536\"] \n  6 -> 20 [size =\"39873536\"]\n  7 [size=\"30387200\", alpha=\"0.06\", expect_size=\"12154880\"] \n  8 [size=\"54594560\", alpha=\"0.12\", expect_size=\"21837824\"] \n  8 -> 20 [size =\"21837824\"]\n  9 [size=\"90137600\", alpha=\"0.13\", expect_size=\"36055040\"] \n  9 -> 20 [size =\"36055040\"]\n  10 [size=\"128847360\", alpha=\"0.09\", expect_size=\"51538944\"] \n  10 -> 19 [size =\"51538944\"]\n  10 -> 20 [size =\"51538944\"]\n  11 [size=\"105873920\", alpha=\"0.05\", expect_size=\"42349568\"] \n  11 -> 20 [size =\"42349568\"]\n  12 [size=\"82839040\", alpha=\"0.13\", expect_size=\"33135616\"] \n  13 [size=\"27509760\", alpha=\"0.20\", expect_size=\"11003904\"] \n  13 -> 20 [size =\"11003904\"]\n  14 [size=\"114053120\", alpha=\"0.06\", expect_size=\"45621248\"] \n  15 [size=\"112245760\", alpha=\"0.18\", expect_size=\"44898304\"] \n  15 -> 19 [size =\"44898304\"]\n  16 [size=\"31472640\", alpha=\"0.11\", expect_size=\"12589056\"] \n  17 [size=\"76692480\", alpha=\"0.17\", expect_size=\"30676992\"] \n  18 [size=\"111080960\", alpha=\"0.19\", expect_size=\"44432384\"] \n  19 [size=\"65077760\", alpha=\"0.19\", expect_size=\"26031104\"] \n  20 [size=\"22635520\", alpha=\"0.04\", expect_size=\"9054208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164130133\", alpha=\"0.14\", expect_size=\"49239040\"] \n  1 -> 16 [size =\"49239040\"]\n  1 -> 18 [size =\"49239040\"]\n  1 -> 19 [size =\"49239040\"]\n  2 [size=\"34515627\", alpha=\"0.02\", expect_size=\"10354688\"] \n  2 -> 19 [size =\"10354688\"]\n  3 [size=\"111489707\", alpha=\"0.15\", expect_size=\"33446912\"] \n  3 -> 19 [size =\"33446912\"]\n  4 [size=\"71413760\", alpha=\"0.12\", expect_size=\"21424128\"] \n  4 -> 18 [size =\"21424128\"]\n  4 -> 19 [size =\"21424128\"]\n  5 [size=\"139154773\", alpha=\"0.14\", expect_size=\"41746432\"] \n  5 -> 19 [size =\"41746432\"]\n  6 [size=\"138724693\", alpha=\"0.14\", expect_size=\"41617408\"] \n  6 -> 15 [size =\"41617408\"]\n  6 -> 18 [size =\"41617408\"]\n  7 [size=\"64890880\", alpha=\"0.14\", expect_size=\"19467264\"] \n  7 -> 15 [size =\"19467264\"]\n  7 -> 16 [size =\"19467264\"]\n  8 [size=\"112827733\", alpha=\"0.11\", expect_size=\"33848320\"] \n  8 -> 15 [size =\"33848320\"]\n  8 -> 16 [size =\"33848320\"]\n  8 -> 19 [size =\"33848320\"]\n  9 [size=\"31177387\", alpha=\"0.17\", expect_size=\"9353216\"] \n  9 -> 16 [size =\"9353216\"]\n  9 -> 18 [size =\"9353216\"]\n  9 -> 20 [size =\"9353216\"]\n  10 [size=\"115920213\", alpha=\"0.07\", expect_size=\"34776064\"] \n  10 -> 16 [size =\"34776064\"]\n  10 -> 17 [size =\"34776064\"]\n  10 -> 18 [size =\"34776064\"]\n  11 [size=\"137011200\", alpha=\"0.16\", expect_size=\"41103360\"] \n  11 -> 16 [size =\"41103360\"]\n  11 -> 18 [size =\"41103360\"]\n  11 -> 18 [size =\"41103360\"]\n  11 -> 20 [size =\"41103360\"]\n  12 [size=\"85995520\", alpha=\"0.09\", expect_size=\"25798656\"] \n  12 -> 16 [size =\"25798656\"]\n  12 -> 17 [size =\"25798656\"]\n  12 -> 18 [size =\"25798656\"]\n  12 -> 19 [size =\"25798656\"]\n  13 [size=\"105492480\", alpha=\"0.19\", expect_size=\"31647744\"] \n  13 -> 15 [size =\"31647744\"]\n  13 -> 17 [size =\"31647744\"]\n  13 -> 18 [size =\"31647744\"]\n  14 [size=\"67048107\", alpha=\"0.11\", expect_size=\"20114432\"] \n  14 -> 15 [size =\"20114432\"]\n  14 -> 16 [size =\"20114432\"]\n  14 -> 18 [size =\"20114432\"]\n  15 [size=\"160027307\", alpha=\"0.01\", expect_size=\"48008192\"] \n  16 [size=\"109899093\", alpha=\"0.11\", expect_size=\"32969728\"] \n  17 [size=\"64211627\", alpha=\"0.10\", expect_size=\"19263488\"] \n  18 [size=\"174189227\", alpha=\"0.11\", expect_size=\"52256768\"] \n  19 [size=\"106577920\", alpha=\"0.09\", expect_size=\"31973376\"] \n  20 [size=\"79199573\", alpha=\"0.18\", expect_size=\"23759872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113367040\", alpha=\"0.04\", expect_size=\"45346816\"] \n  1 -> 4 [size =\"45346816\"]\n  1 -> 5 [size =\"45346816\"]\n  1 -> 7 [size =\"45346816\"]\n  2 [size=\"92277760\", alpha=\"0.13\", expect_size=\"36911104\"] \n  2 -> 4 [size =\"36911104\"]\n  2 -> 7 [size =\"36911104\"]\n  3 [size=\"62300160\", alpha=\"0.15\", expect_size=\"24920064\"] \n  3 -> 4 [size =\"24920064\"]\n  3 -> 5 [size =\"24920064\"]\n  3 -> 6 [size =\"24920064\"]\n  3 -> 7 [size =\"24920064\"]\n  4 [size=\"67048960\", alpha=\"0.16\", expect_size=\"26819584\"] \n  4 -> 8 [size =\"26819584\"]\n  4 -> 9 [size =\"26819584\"]\n  4 -> 10 [size =\"26819584\"]\n  4 -> 11 [size =\"26819584\"]\n  5 [size=\"118261760\", alpha=\"0.09\", expect_size=\"47304704\"] \n  5 -> 9 [size =\"47304704\"]\n  6 [size=\"79091200\", alpha=\"0.07\", expect_size=\"31636480\"] \n  6 -> 9 [size =\"31636480\"]\n  6 -> 10 [size =\"31636480\"]\n  7 [size=\"74769920\", alpha=\"0.10\", expect_size=\"29907968\"] \n  7 -> 9 [size =\"29907968\"]\n  7 -> 10 [size =\"29907968\"]\n  8 [size=\"43740160\", alpha=\"0.15\", expect_size=\"17496064\"] \n  8 -> 12 [size =\"17496064\"]\n  8 -> 13 [size =\"17496064\"]\n  8 -> 14 [size =\"17496064\"]\n  9 [size=\"99069440\", alpha=\"0.14\", expect_size=\"39627776\"] \n  9 -> 13 [size =\"39627776\"]\n  9 -> 13 [size =\"39627776\"]\n  9 -> 14 [size =\"39627776\"]\n  10 [size=\"44638720\", alpha=\"0.15\", expect_size=\"17855488\"] \n  10 -> 12 [size =\"17855488\"]\n  11 [size=\"50649600\", alpha=\"0.10\", expect_size=\"20259840\"] \n  11 -> 12 [size =\"20259840\"]\n  11 -> 14 [size =\"20259840\"]\n  12 [size=\"75399680\", alpha=\"0.15\", expect_size=\"30159872\"] \n  12 -> 15 [size =\"30159872\"]\n  12 -> 17 [size =\"30159872\"]\n  13 [size=\"36234240\", alpha=\"0.19\", expect_size=\"14493696\"] \n  13 -> 15 [size =\"14493696\"]\n  13 -> 17 [size =\"14493696\"]\n  14 [size=\"125685760\", alpha=\"0.10\", expect_size=\"50274304\"] \n  14 -> 15 [size =\"50274304\"]\n  14 -> 16 [size =\"50274304\"]\n  14 -> 17 [size =\"50274304\"]\n  15 [size=\"102233600\", alpha=\"0.01\", expect_size=\"40893440\"] \n  15 -> 18 [size =\"40893440\"]\n  15 -> 19 [size =\"40893440\"]\n  16 [size=\"37158400\", alpha=\"0.03\", expect_size=\"14863360\"] \n  16 -> 18 [size =\"14863360\"]\n  16 -> 20 [size =\"14863360\"]\n  17 [size=\"78581760\", alpha=\"0.14\", expect_size=\"31432704\"] \n  18 [size=\"20782080\", alpha=\"0.04\", expect_size=\"8312832\"] \n  19 [size=\"110179840\", alpha=\"0.20\", expect_size=\"44071936\"] \n  20 [size=\"77066240\", alpha=\"0.17\", expect_size=\"30826496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70901760\", alpha=\"0.08\", expect_size=\"35450880\"] \n  1 -> 18 [size =\"35450880\"]\n  2 [size=\"103741440\", alpha=\"0.16\", expect_size=\"51870720\"] \n  3 [size=\"87443456\", alpha=\"0.16\", expect_size=\"43721728\"] \n  3 -> 18 [size =\"43721728\"]\n  4 [size=\"56297472\", alpha=\"0.06\", expect_size=\"28148736\"] \n  5 [size=\"32561152\", alpha=\"0.08\", expect_size=\"16280576\"] \n  5 -> 18 [size =\"16280576\"]\n  6 [size=\"87934976\", alpha=\"0.17\", expect_size=\"43967488\"] \n  7 [size=\"65437696\", alpha=\"0.00\", expect_size=\"32718848\"] \n  7 -> 20 [size =\"32718848\"]\n  8 [size=\"18087936\", alpha=\"0.10\", expect_size=\"9043968\"] \n  8 -> 18 [size =\"9043968\"]\n  9 [size=\"96770048\", alpha=\"0.14\", expect_size=\"48385024\"] \n  9 -> 18 [size =\"48385024\"]\n  9 -> 19 [size =\"48385024\"]\n  10 [size=\"92346368\", alpha=\"0.13\", expect_size=\"46173184\"] \n  11 [size=\"24793088\", alpha=\"0.18\", expect_size=\"12396544\"] \n  11 -> 20 [size =\"12396544\"]\n  12 [size=\"63422464\", alpha=\"0.09\", expect_size=\"31711232\"] \n  13 [size=\"44681216\", alpha=\"0.06\", expect_size=\"22340608\"] \n  14 [size=\"24909824\", alpha=\"0.10\", expect_size=\"12454912\"] \n  15 [size=\"52756480\", alpha=\"0.17\", expect_size=\"26378240\"] \n  16 [size=\"90910720\", alpha=\"0.13\", expect_size=\"45455360\"] \n  17 [size=\"77062144\", alpha=\"0.16\", expect_size=\"38531072\"] \n  17 -> 20 [size =\"38531072\"]\n  18 [size=\"77682688\", alpha=\"0.05\", expect_size=\"38841344\"] \n  19 [size=\"28905472\", alpha=\"0.18\", expect_size=\"14452736\"] \n  20 [size=\"94156800\", alpha=\"0.17\", expect_size=\"47078400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92856320\", alpha=\"0.19\", expect_size=\"46428160\"] \n  1 -> 10 [size =\"46428160\"]\n  1 -> 14 [size =\"46428160\"]\n  2 [size=\"38068224\", alpha=\"0.19\", expect_size=\"19034112\"] \n  2 -> 9 [size =\"19034112\"]\n  2 -> 10 [size =\"19034112\"]\n  2 -> 11 [size =\"19034112\"]\n  2 -> 12 [size =\"19034112\"]\n  3 [size=\"58402816\", alpha=\"0.06\", expect_size=\"29201408\"] \n  3 -> 10 [size =\"29201408\"]\n  3 -> 11 [size =\"29201408\"]\n  3 -> 12 [size =\"29201408\"]\n  4 [size=\"12347392\", alpha=\"0.04\", expect_size=\"6173696\"] \n  4 -> 9 [size =\"6173696\"]\n  4 -> 11 [size =\"6173696\"]\n  4 -> 13 [size =\"6173696\"]\n  4 -> 14 [size =\"6173696\"]\n  5 [size=\"85303296\", alpha=\"0.17\", expect_size=\"42651648\"] \n  5 -> 9 [size =\"42651648\"]\n  5 -> 11 [size =\"42651648\"]\n  6 [size=\"72845312\", alpha=\"0.15\", expect_size=\"36422656\"] \n  6 -> 9 [size =\"36422656\"]\n  6 -> 10 [size =\"36422656\"]\n  6 -> 12 [size =\"36422656\"]\n  6 -> 13 [size =\"36422656\"]\n  6 -> 14 [size =\"36422656\"]\n  7 [size=\"83351552\", alpha=\"0.17\", expect_size=\"41675776\"] \n  7 -> 10 [size =\"41675776\"]\n  7 -> 12 [size =\"41675776\"]\n  7 -> 13 [size =\"41675776\"]\n  7 -> 14 [size =\"41675776\"]\n  8 [size=\"51644416\", alpha=\"0.07\", expect_size=\"25822208\"] \n  8 -> 10 [size =\"25822208\"]\n  8 -> 13 [size =\"25822208\"]\n  8 -> 14 [size =\"25822208\"]\n  9 [size=\"61034496\", alpha=\"0.10\", expect_size=\"30517248\"] \n  9 -> 18 [size =\"30517248\"]\n  9 -> 20 [size =\"30517248\"]\n  10 [size=\"27979776\", alpha=\"0.12\", expect_size=\"13989888\"] \n  10 -> 17 [size =\"13989888\"]\n  11 [size=\"51324928\", alpha=\"0.18\", expect_size=\"25662464\"] \n  11 -> 15 [size =\"25662464\"]\n  11 -> 16 [size =\"25662464\"]\n  12 [size=\"44912640\", alpha=\"0.06\", expect_size=\"22456320\"] \n  12 -> 16 [size =\"22456320\"]\n  13 [size=\"38225920\", alpha=\"0.12\", expect_size=\"19112960\"] \n  13 -> 17 [size =\"19112960\"]\n  14 [size=\"67710976\", alpha=\"0.10\", expect_size=\"33855488\"] \n  14 -> 19 [size =\"33855488\"]\n  15 [size=\"88563712\", alpha=\"0.06\", expect_size=\"44281856\"] \n  16 [size=\"74764288\", alpha=\"0.19\", expect_size=\"37382144\"] \n  17 [size=\"49514496\", alpha=\"0.17\", expect_size=\"24757248\"] \n  18 [size=\"33400832\", alpha=\"0.16\", expect_size=\"16700416\"] \n  19 [size=\"65626112\", alpha=\"0.04\", expect_size=\"32813056\"] \n  20 [size=\"18835456\", alpha=\"0.05\", expect_size=\"9417728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58937344\", alpha=\"0.18\", expect_size=\"29468672\"] \n  1 -> 9 [size =\"29468672\"]\n  1 -> 11 [size =\"29468672\"]\n  2 [size=\"11880448\", alpha=\"0.01\", expect_size=\"5940224\"] \n  2 -> 9 [size =\"5940224\"]\n  2 -> 12 [size =\"5940224\"]\n  2 -> 13 [size =\"5940224\"]\n  2 -> 15 [size =\"5940224\"]\n  3 [size=\"27252736\", alpha=\"0.03\", expect_size=\"13626368\"] \n  3 -> 9 [size =\"13626368\"]\n  3 -> 10 [size =\"13626368\"]\n  4 [size=\"40978432\", alpha=\"0.14\", expect_size=\"20489216\"] \n  4 -> 9 [size =\"20489216\"]\n  4 -> 14 [size =\"20489216\"]\n  5 [size=\"77778944\", alpha=\"0.08\", expect_size=\"38889472\"] \n  5 -> 11 [size =\"38889472\"]\n  5 -> 12 [size =\"38889472\"]\n  5 -> 14 [size =\"38889472\"]\n  6 [size=\"15075328\", alpha=\"0.18\", expect_size=\"7537664\"] \n  6 -> 11 [size =\"7537664\"]\n  6 -> 12 [size =\"7537664\"]\n  6 -> 14 [size =\"7537664\"]\n  7 [size=\"46581760\", alpha=\"0.02\", expect_size=\"23290880\"] \n  7 -> 11 [size =\"23290880\"]\n  7 -> 12 [size =\"23290880\"]\n  8 [size=\"95213568\", alpha=\"0.15\", expect_size=\"47606784\"] \n  8 -> 14 [size =\"47606784\"]\n  8 -> 15 [size =\"47606784\"]\n  9 [size=\"51050496\", alpha=\"0.03\", expect_size=\"25525248\"] \n  9 -> 18 [size =\"25525248\"]\n  9 -> 19 [size =\"25525248\"]\n  10 [size=\"97449984\", alpha=\"0.12\", expect_size=\"48724992\"] \n  10 -> 19 [size =\"48724992\"]\n  11 [size=\"36458496\", alpha=\"0.05\", expect_size=\"18229248\"] \n  11 -> 19 [size =\"18229248\"]\n  11 -> 20 [size =\"18229248\"]\n  12 [size=\"24662016\", alpha=\"0.04\", expect_size=\"12331008\"] \n  12 -> 19 [size =\"12331008\"]\n  13 [size=\"28602368\", alpha=\"0.01\", expect_size=\"14301184\"] \n  13 -> 16 [size =\"14301184\"]\n  13 -> 19 [size =\"14301184\"]\n  14 [size=\"41648128\", alpha=\"0.01\", expect_size=\"20824064\"] \n  14 -> 17 [size =\"20824064\"]\n  14 -> 20 [size =\"20824064\"]\n  15 [size=\"13961216\", alpha=\"0.04\", expect_size=\"6980608\"] \n  15 -> 16 [size =\"6980608\"]\n  15 -> 18 [size =\"6980608\"]\n  15 -> 20 [size =\"6980608\"]\n  16 [size=\"50323456\", alpha=\"0.04\", expect_size=\"25161728\"] \n  17 [size=\"39071744\", alpha=\"0.00\", expect_size=\"19535872\"] \n  18 [size=\"46225408\", alpha=\"0.09\", expect_size=\"23112704\"] \n  19 [size=\"24156160\", alpha=\"0.10\", expect_size=\"12078080\"] \n  20 [size=\"37171200\", alpha=\"0.09\", expect_size=\"18585600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13285376\", alpha=\"0.05\", expect_size=\"6642688\"] \n  1 -> 2 [size =\"6642688\"]\n  2 [size=\"88170496\", alpha=\"0.08\", expect_size=\"44085248\"] \n  2 -> 3 [size =\"44085248\"]\n  3 [size=\"75790336\", alpha=\"0.15\", expect_size=\"37895168\"] \n  3 -> 4 [size =\"37895168\"]\n  4 [size=\"36286464\", alpha=\"0.08\", expect_size=\"18143232\"] \n  4 -> 5 [size =\"18143232\"]\n  5 [size=\"14319616\", alpha=\"0.11\", expect_size=\"7159808\"] \n  5 -> 6 [size =\"7159808\"]\n  6 [size=\"16115712\", alpha=\"0.16\", expect_size=\"8057856\"] \n  6 -> 7 [size =\"8057856\"]\n  7 [size=\"70676480\", alpha=\"0.13\", expect_size=\"35338240\"] \n  7 -> 8 [size =\"35338240\"]\n  8 [size=\"57016320\", alpha=\"0.15\", expect_size=\"28508160\"] \n  8 -> 9 [size =\"28508160\"]\n  9 [size=\"67893248\", alpha=\"0.08\", expect_size=\"33946624\"] \n  9 -> 10 [size =\"33946624\"]\n  10 [size=\"21219328\", alpha=\"0.07\", expect_size=\"10609664\"] \n  10 -> 11 [size =\"10609664\"]\n  11 [size=\"53123072\", alpha=\"0.07\", expect_size=\"26561536\"] \n  11 -> 12 [size =\"26561536\"]\n  12 [size=\"75773952\", alpha=\"0.14\", expect_size=\"37886976\"] \n  12 -> 13 [size =\"37886976\"]\n  13 [size=\"17145856\", alpha=\"0.01\", expect_size=\"8572928\"] \n  13 -> 14 [size =\"8572928\"]\n  14 [size=\"89831424\", alpha=\"0.14\", expect_size=\"44915712\"] \n  14 -> 15 [size =\"44915712\"]\n  15 [size=\"31569920\", alpha=\"0.06\", expect_size=\"15784960\"] \n  15 -> 16 [size =\"15784960\"]\n  16 [size=\"82452480\", alpha=\"0.15\", expect_size=\"41226240\"] \n  16 -> 17 [size =\"41226240\"]\n  17 [size=\"61632512\", alpha=\"0.17\", expect_size=\"30816256\"] \n  17 -> 18 [size =\"30816256\"]\n  18 [size=\"26742784\", alpha=\"0.18\", expect_size=\"13371392\"] \n  18 -> 19 [size =\"13371392\"]\n  19 [size=\"98519040\", alpha=\"0.14\", expect_size=\"49259520\"] \n  19 -> 20 [size =\"49259520\"]\n  20 [size=\"41721856\", alpha=\"0.17\", expect_size=\"20860928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77596672\", alpha=\"0.11\", expect_size=\"38798336\"] \n  2 [size=\"44388352\", alpha=\"0.16\", expect_size=\"22194176\"] \n  2 -> 3 [size =\"22194176\"]\n  3 [size=\"24668160\", alpha=\"0.12\", expect_size=\"12334080\"] \n  3 -> 4 [size =\"12334080\"]\n  4 [size=\"70090752\", alpha=\"0.06\", expect_size=\"35045376\"] \n  4 -> 5 [size =\"35045376\"]\n  4 -> 6 [size =\"35045376\"]\n  5 [size=\"87889920\", alpha=\"0.04\", expect_size=\"43944960\"] \n  5 -> 7 [size =\"43944960\"]\n  5 -> 8 [size =\"43944960\"]\n  6 [size=\"98652160\", alpha=\"0.07\", expect_size=\"49326080\"] \n  7 [size=\"82092032\", alpha=\"0.09\", expect_size=\"41046016\"] \n  7 -> 9 [size =\"41046016\"]\n  8 [size=\"62375936\", alpha=\"0.04\", expect_size=\"31187968\"] \n  8 -> 10 [size =\"31187968\"]\n  9 [size=\"10981376\", alpha=\"0.19\", expect_size=\"5490688\"] \n  10 [size=\"12126208\", alpha=\"0.15\", expect_size=\"6063104\"] \n  10 -> 11 [size =\"6063104\"]\n  11 [size=\"99246080\", alpha=\"0.18\", expect_size=\"49623040\"] \n  11 -> 12 [size =\"49623040\"]\n  12 [size=\"56332288\", alpha=\"0.17\", expect_size=\"28166144\"] \n  12 -> 13 [size =\"28166144\"]\n  12 -> 14 [size =\"28166144\"]\n  13 [size=\"38772736\", alpha=\"0.20\", expect_size=\"19386368\"] \n  14 [size=\"94488576\", alpha=\"0.11\", expect_size=\"47244288\"] \n  14 -> 15 [size =\"47244288\"]\n  15 [size=\"28938240\", alpha=\"0.03\", expect_size=\"14469120\"] \n  15 -> 16 [size =\"14469120\"]\n  16 [size=\"47710208\", alpha=\"0.11\", expect_size=\"23855104\"] \n  16 -> 17 [size =\"23855104\"]\n  16 -> 18 [size =\"23855104\"]\n  17 [size=\"82638848\", alpha=\"0.20\", expect_size=\"41319424\"] \n  17 -> 20 [size =\"41319424\"]\n  18 [size=\"28968960\", alpha=\"0.07\", expect_size=\"14484480\"] \n  18 -> 19 [size =\"14484480\"]\n  19 [size=\"46524416\", alpha=\"0.17\", expect_size=\"23262208\"] \n  20 [size=\"41392128\", alpha=\"0.15\", expect_size=\"20696064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62697472\", alpha=\"0.02\", expect_size=\"31348736\"] \n  1 -> 18 [size =\"31348736\"]\n  1 -> 19 [size =\"31348736\"]\n  1 -> 20 [size =\"31348736\"]\n  2 [size=\"39540736\", alpha=\"0.03\", expect_size=\"19770368\"] \n  2 -> 14 [size =\"19770368\"]\n  2 -> 16 [size =\"19770368\"]\n  2 -> 19 [size =\"19770368\"]\n  2 -> 20 [size =\"19770368\"]\n  3 [size=\"32786432\", alpha=\"0.07\", expect_size=\"16393216\"] \n  3 -> 19 [size =\"16393216\"]\n  3 -> 20 [size =\"16393216\"]\n  4 [size=\"102115328\", alpha=\"0.14\", expect_size=\"51057664\"] \n  4 -> 14 [size =\"51057664\"]\n  4 -> 16 [size =\"51057664\"]\n  4 -> 19 [size =\"51057664\"]\n  4 -> 20 [size =\"51057664\"]\n  5 [size=\"49836032\", alpha=\"0.03\", expect_size=\"24918016\"] \n  5 -> 18 [size =\"24918016\"]\n  5 -> 19 [size =\"24918016\"]\n  5 -> 19 [size =\"24918016\"]\n  6 [size=\"76134400\", alpha=\"0.01\", expect_size=\"38067200\"] \n  7 [size=\"93261824\", alpha=\"0.09\", expect_size=\"46630912\"] \n  7 -> 14 [size =\"46630912\"]\n  7 -> 15 [size =\"46630912\"]\n  8 [size=\"92008448\", alpha=\"0.11\", expect_size=\"46004224\"] \n  8 -> 14 [size =\"46004224\"]\n  9 [size=\"12668928\", alpha=\"0.15\", expect_size=\"6334464\"] \n  9 -> 14 [size =\"6334464\"]\n  9 -> 16 [size =\"6334464\"]\n  10 [size=\"26218496\", alpha=\"0.01\", expect_size=\"13109248\"] \n  10 -> 14 [size =\"13109248\"]\n  10 -> 16 [size =\"13109248\"]\n  10 -> 17 [size =\"13109248\"]\n  10 -> 18 [size =\"13109248\"]\n  10 -> 20 [size =\"13109248\"]\n  11 [size=\"34291712\", alpha=\"0.03\", expect_size=\"17145856\"] \n  11 -> 14 [size =\"17145856\"]\n  11 -> 16 [size =\"17145856\"]\n  11 -> 17 [size =\"17145856\"]\n  11 -> 19 [size =\"17145856\"]\n  11 -> 20 [size =\"17145856\"]\n  12 [size=\"43624448\", alpha=\"0.14\", expect_size=\"21812224\"] \n  12 -> 14 [size =\"21812224\"]\n  12 -> 16 [size =\"21812224\"]\n  13 [size=\"59799552\", alpha=\"0.04\", expect_size=\"29899776\"] \n  13 -> 14 [size =\"29899776\"]\n  13 -> 16 [size =\"29899776\"]\n  13 -> 18 [size =\"29899776\"]\n  13 -> 19 [size =\"29899776\"]\n  13 -> 20 [size =\"29899776\"]\n  14 [size=\"94959616\", alpha=\"0.18\", expect_size=\"47479808\"] \n  15 [size=\"65546240\", alpha=\"0.12\", expect_size=\"32773120\"] \n  16 [size=\"80795648\", alpha=\"0.15\", expect_size=\"40397824\"] \n  17 [size=\"83601408\", alpha=\"0.03\", expect_size=\"41800704\"] \n  18 [size=\"31113216\", alpha=\"0.04\", expect_size=\"15556608\"] \n  19 [size=\"80826368\", alpha=\"0.13\", expect_size=\"40413184\"] \n  20 [size=\"55132160\", alpha=\"0.03\", expect_size=\"27566080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39497728\", alpha=\"0.11\", expect_size=\"19748864\"] \n  1 -> 2 [size =\"19748864\"]\n  2 [size=\"85395456\", alpha=\"0.06\", expect_size=\"42697728\"] \n  2 -> 3 [size =\"42697728\"]\n  3 [size=\"59043840\", alpha=\"0.02\", expect_size=\"29521920\"] \n  3 -> 4 [size =\"29521920\"]\n  4 [size=\"11345920\", alpha=\"0.03\", expect_size=\"5672960\"] \n  4 -> 5 [size =\"5672960\"]\n  5 [size=\"97771520\", alpha=\"0.12\", expect_size=\"48885760\"] \n  5 -> 6 [size =\"48885760\"]\n  6 [size=\"74246144\", alpha=\"0.16\", expect_size=\"37123072\"] \n  6 -> 7 [size =\"37123072\"]\n  7 [size=\"50935808\", alpha=\"0.19\", expect_size=\"25467904\"] \n  7 -> 8 [size =\"25467904\"]\n  8 [size=\"40259584\", alpha=\"0.14\", expect_size=\"20129792\"] \n  8 -> 9 [size =\"20129792\"]\n  9 [size=\"22796288\", alpha=\"0.03\", expect_size=\"11398144\"] \n  9 -> 10 [size =\"11398144\"]\n  10 [size=\"91035648\", alpha=\"0.07\", expect_size=\"45517824\"] \n  10 -> 11 [size =\"45517824\"]\n  11 [size=\"88686592\", alpha=\"0.11\", expect_size=\"44343296\"] \n  11 -> 12 [size =\"44343296\"]\n  12 [size=\"45185024\", alpha=\"0.07\", expect_size=\"22592512\"] \n  12 -> 13 [size =\"22592512\"]\n  13 [size=\"71751680\", alpha=\"0.09\", expect_size=\"35875840\"] \n  13 -> 14 [size =\"35875840\"]\n  14 [size=\"83365888\", alpha=\"0.11\", expect_size=\"41682944\"] \n  14 -> 15 [size =\"41682944\"]\n  15 [size=\"98998272\", alpha=\"0.16\", expect_size=\"49499136\"] \n  15 -> 16 [size =\"49499136\"]\n  16 [size=\"61110272\", alpha=\"0.06\", expect_size=\"30555136\"] \n  16 -> 17 [size =\"30555136\"]\n  17 [size=\"40151040\", alpha=\"0.03\", expect_size=\"20075520\"] \n  17 -> 18 [size =\"20075520\"]\n  18 [size=\"36532224\", alpha=\"0.12\", expect_size=\"18266112\"] \n  18 -> 19 [size =\"18266112\"]\n  19 [size=\"101662720\", alpha=\"0.03\", expect_size=\"50831360\"] \n  19 -> 20 [size =\"50831360\"]\n  20 [size=\"22190080\", alpha=\"0.15\", expect_size=\"11095040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83802112\", alpha=\"0.02\", expect_size=\"41901056\"] \n  1 -> 16 [size =\"41901056\"]\n  1 -> 19 [size =\"41901056\"]\n  1 -> 20 [size =\"41901056\"]\n  2 [size=\"24076288\", alpha=\"0.07\", expect_size=\"12038144\"] \n  2 -> 17 [size =\"12038144\"]\n  3 [size=\"103780352\", alpha=\"0.18\", expect_size=\"51890176\"] \n  3 -> 16 [size =\"51890176\"]\n  3 -> 20 [size =\"51890176\"]\n  4 [size=\"51718144\", alpha=\"0.08\", expect_size=\"25859072\"] \n  4 -> 15 [size =\"25859072\"]\n  4 -> 16 [size =\"25859072\"]\n  4 -> 18 [size =\"25859072\"]\n  4 -> 20 [size =\"25859072\"]\n  5 [size=\"71229440\", alpha=\"0.02\", expect_size=\"35614720\"] \n  5 -> 15 [size =\"35614720\"]\n  5 -> 16 [size =\"35614720\"]\n  5 -> 20 [size =\"35614720\"]\n  6 [size=\"10899456\", alpha=\"0.06\", expect_size=\"5449728\"] \n  6 -> 15 [size =\"5449728\"]\n  7 [size=\"101601280\", alpha=\"0.09\", expect_size=\"50800640\"] \n  7 -> 18 [size =\"50800640\"]\n  7 -> 20 [size =\"50800640\"]\n  8 [size=\"15353856\", alpha=\"0.15\", expect_size=\"7676928\"] \n  8 -> 18 [size =\"7676928\"]\n  9 [size=\"53157888\", alpha=\"0.16\", expect_size=\"26578944\"] \n  9 -> 15 [size =\"26578944\"]\n  9 -> 17 [size =\"26578944\"]\n  9 -> 19 [size =\"26578944\"]\n  10 [size=\"25372672\", alpha=\"0.12\", expect_size=\"12686336\"] \n  10 -> 18 [size =\"12686336\"]\n  10 -> 19 [size =\"12686336\"]\n  10 -> 19 [size =\"12686336\"]\n  11 [size=\"95690752\", alpha=\"0.03\", expect_size=\"47845376\"] \n  11 -> 15 [size =\"47845376\"]\n  11 -> 17 [size =\"47845376\"]\n  11 -> 19 [size =\"47845376\"]\n  12 [size=\"12865536\", alpha=\"0.11\", expect_size=\"6432768\"] \n  12 -> 15 [size =\"6432768\"]\n  12 -> 17 [size =\"6432768\"]\n  12 -> 19 [size =\"6432768\"]\n  13 [size=\"45615104\", alpha=\"0.18\", expect_size=\"22807552\"] \n  13 -> 15 [size =\"22807552\"]\n  13 -> 17 [size =\"22807552\"]\n  13 -> 20 [size =\"22807552\"]\n  14 [size=\"37150720\", alpha=\"0.09\", expect_size=\"18575360\"] \n  14 -> 17 [size =\"18575360\"]\n  14 -> 18 [size =\"18575360\"]\n  14 -> 20 [size =\"18575360\"]\n  15 [size=\"77121536\", alpha=\"0.17\", expect_size=\"38560768\"] \n  16 [size=\"85809152\", alpha=\"0.19\", expect_size=\"42904576\"] \n  17 [size=\"20252672\", alpha=\"0.15\", expect_size=\"10126336\"] \n  18 [size=\"62928896\", alpha=\"0.10\", expect_size=\"31464448\"] \n  19 [size=\"39229440\", alpha=\"0.00\", expect_size=\"19614720\"] \n  20 [size=\"22087680\", alpha=\"0.07\", expect_size=\"11043840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38590464\", alpha=\"0.04\", expect_size=\"19295232\"] \n  1 -> 5 [size =\"19295232\"]\n  1 -> 7 [size =\"19295232\"]\n  1 -> 8 [size =\"19295232\"]\n  2 [size=\"94932992\", alpha=\"0.09\", expect_size=\"47466496\"] \n  2 -> 8 [size =\"47466496\"]\n  3 [size=\"49229824\", alpha=\"0.01\", expect_size=\"24614912\"] \n  3 -> 5 [size =\"24614912\"]\n  3 -> 7 [size =\"24614912\"]\n  3 -> 8 [size =\"24614912\"]\n  4 [size=\"67516416\", alpha=\"0.03\", expect_size=\"33758208\"] \n  4 -> 6 [size =\"33758208\"]\n  4 -> 7 [size =\"33758208\"]\n  4 -> 8 [size =\"33758208\"]\n  5 [size=\"84152320\", alpha=\"0.16\", expect_size=\"42076160\"] \n  5 -> 10 [size =\"42076160\"]\n  5 -> 11 [size =\"42076160\"]\n  5 -> 12 [size =\"42076160\"]\n  6 [size=\"73066496\", alpha=\"0.11\", expect_size=\"36533248\"] \n  6 -> 9 [size =\"36533248\"]\n  6 -> 10 [size =\"36533248\"]\n  6 -> 11 [size =\"36533248\"]\n  6 -> 12 [size =\"36533248\"]\n  7 [size=\"71094272\", alpha=\"0.03\", expect_size=\"35547136\"] \n  7 -> 10 [size =\"35547136\"]\n  7 -> 11 [size =\"35547136\"]\n  7 -> 12 [size =\"35547136\"]\n  8 [size=\"62853120\", alpha=\"0.01\", expect_size=\"31426560\"] \n  8 -> 10 [size =\"31426560\"]\n  8 -> 11 [size =\"31426560\"]\n  8 -> 12 [size =\"31426560\"]\n  9 [size=\"16922624\", alpha=\"0.18\", expect_size=\"8461312\"] \n  9 -> 14 [size =\"8461312\"]\n  9 -> 15 [size =\"8461312\"]\n  9 -> 16 [size =\"8461312\"]\n  10 [size=\"14952448\", alpha=\"0.09\", expect_size=\"7476224\"] \n  10 -> 14 [size =\"7476224\"]\n  10 -> 15 [size =\"7476224\"]\n  11 [size=\"101613568\", alpha=\"0.18\", expect_size=\"50806784\"] \n  11 -> 13 [size =\"50806784\"]\n  11 -> 15 [size =\"50806784\"]\n  12 [size=\"28467200\", alpha=\"0.00\", expect_size=\"14233600\"] \n  12 -> 14 [size =\"14233600\"]\n  12 -> 15 [size =\"14233600\"]\n  12 -> 16 [size =\"14233600\"]\n  13 [size=\"69070848\", alpha=\"0.05\", expect_size=\"34535424\"] \n  13 -> 17 [size =\"34535424\"]\n  13 -> 19 [size =\"34535424\"]\n  13 -> 20 [size =\"34535424\"]\n  14 [size=\"75571200\", alpha=\"0.10\", expect_size=\"37785600\"] \n  14 -> 17 [size =\"37785600\"]\n  14 -> 18 [size =\"37785600\"]\n  15 [size=\"87375872\", alpha=\"0.03\", expect_size=\"43687936\"] \n  15 -> 17 [size =\"43687936\"]\n  15 -> 19 [size =\"43687936\"]\n  15 -> 20 [size =\"43687936\"]\n  16 [size=\"66316288\", alpha=\"0.08\", expect_size=\"33158144\"] \n  16 -> 17 [size =\"33158144\"]\n  16 -> 19 [size =\"33158144\"]\n  16 -> 20 [size =\"33158144\"]\n  17 [size=\"23279616\", alpha=\"0.06\", expect_size=\"11639808\"] \n  18 [size=\"39020544\", alpha=\"0.17\", expect_size=\"19510272\"] \n  19 [size=\"45807616\", alpha=\"0.10\", expect_size=\"22903808\"] \n  20 [size=\"36667392\", alpha=\"0.17\", expect_size=\"18333696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85637120\", alpha=\"0.17\", expect_size=\"34254848\"] \n  1 -> 4 [size =\"34254848\"]\n  1 -> 5 [size =\"34254848\"]\n  2 [size=\"126853120\", alpha=\"0.09\", expect_size=\"50741248\"] \n  2 -> 5 [size =\"50741248\"]\n  3 [size=\"40317440\", alpha=\"0.03\", expect_size=\"16126976\"] \n  3 -> 4 [size =\"16126976\"]\n  3 -> 6 [size =\"16126976\"]\n  4 [size=\"93017600\", alpha=\"0.05\", expect_size=\"37207040\"] \n  4 -> 7 [size =\"37207040\"]\n  5 [size=\"45102080\", alpha=\"0.03\", expect_size=\"18040832\"] \n  5 -> 8 [size =\"18040832\"]\n  6 [size=\"32320000\", alpha=\"0.02\", expect_size=\"12928000\"] \n  6 -> 7 [size =\"12928000\"]\n  6 -> 9 [size =\"12928000\"]\n  7 [size=\"85911040\", alpha=\"0.13\", expect_size=\"34364416\"] \n  8 [size=\"56092160\", alpha=\"0.11\", expect_size=\"22436864\"] \n  8 -> 10 [size =\"22436864\"]\n  8 -> 11 [size =\"22436864\"]\n  9 [size=\"104376320\", alpha=\"0.13\", expect_size=\"41750528\"] \n  9 -> 10 [size =\"41750528\"]\n  9 -> 11 [size =\"41750528\"]\n  9 -> 12 [size =\"41750528\"]\n  10 [size=\"44633600\", alpha=\"0.02\", expect_size=\"17853440\"] \n  11 [size=\"111582720\", alpha=\"0.09\", expect_size=\"44633088\"] \n  11 -> 13 [size =\"44633088\"]\n  11 -> 14 [size =\"44633088\"]\n  11 -> 15 [size =\"44633088\"]\n  12 [size=\"95237120\", alpha=\"0.17\", expect_size=\"38094848\"] \n  12 -> 13 [size =\"38094848\"]\n  13 [size=\"29145600\", alpha=\"0.08\", expect_size=\"11658240\"] \n  13 -> 16 [size =\"11658240\"]\n  13 -> 17 [size =\"11658240\"]\n  13 -> 18 [size =\"11658240\"]\n  14 [size=\"46402560\", alpha=\"0.10\", expect_size=\"18561024\"] \n  14 -> 16 [size =\"18561024\"]\n  14 -> 17 [size =\"18561024\"]\n  15 [size=\"76203520\", alpha=\"0.18\", expect_size=\"30481408\"] \n  16 [size=\"92871680\", alpha=\"0.14\", expect_size=\"37148672\"] \n  16 -> 19 [size =\"37148672\"]\n  16 -> 20 [size =\"37148672\"]\n  17 [size=\"106135040\", alpha=\"0.08\", expect_size=\"42454016\"] \n  17 -> 20 [size =\"42454016\"]\n  18 [size=\"66951680\", alpha=\"0.18\", expect_size=\"26780672\"] \n  18 -> 19 [size =\"26780672\"]\n  19 [size=\"13575680\", alpha=\"0.13\", expect_size=\"5430272\"] \n  20 [size=\"88919040\", alpha=\"0.13\", expect_size=\"35567616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49503573\", alpha=\"0.01\", expect_size=\"14851072\"] \n  1 -> 4 [size =\"14851072\"]\n  1 -> 5 [size =\"14851072\"]\n  1 -> 6 [size =\"14851072\"]\n  2 [size=\"171915947\", alpha=\"0.05\", expect_size=\"51574784\"] \n  3 [size=\"148490240\", alpha=\"0.11\", expect_size=\"44547072\"] \n  3 -> 5 [size =\"44547072\"]\n  4 [size=\"102318080\", alpha=\"0.13\", expect_size=\"30695424\"] \n  4 -> 7 [size =\"30695424\"]\n  4 -> 8 [size =\"30695424\"]\n  4 -> 9 [size =\"30695424\"]\n  5 [size=\"110861653\", alpha=\"0.05\", expect_size=\"33258496\"] \n  6 [size=\"28067840\", alpha=\"0.01\", expect_size=\"8420352\"] \n  6 -> 7 [size =\"8420352\"]\n  7 [size=\"29207893\", alpha=\"0.11\", expect_size=\"8762368\"] \n  7 -> 11 [size =\"8762368\"]\n  7 -> 12 [size =\"8762368\"]\n  8 [size=\"25043627\", alpha=\"0.05\", expect_size=\"7513088\"] \n  9 [size=\"44823893\", alpha=\"0.09\", expect_size=\"13447168\"] \n  9 -> 10 [size =\"13447168\"]\n  9 -> 12 [size =\"13447168\"]\n  10 [size=\"65778347\", alpha=\"0.07\", expect_size=\"19733504\"] \n  10 -> 13 [size =\"19733504\"]\n  10 -> 14 [size =\"19733504\"]\n  10 -> 15 [size =\"19733504\"]\n  11 [size=\"111192747\", alpha=\"0.06\", expect_size=\"33357824\"] \n  12 [size=\"115841707\", alpha=\"0.10\", expect_size=\"34752512\"] \n  12 -> 14 [size =\"34752512\"]\n  13 [size=\"153681920\", alpha=\"0.02\", expect_size=\"46104576\"] \n  13 -> 16 [size =\"46104576\"]\n  13 -> 18 [size =\"46104576\"]\n  14 [size=\"84954453\", alpha=\"0.14\", expect_size=\"25486336\"] \n  14 -> 19 [size =\"25486336\"]\n  15 [size=\"27658240\", alpha=\"0.05\", expect_size=\"8297472\"] \n  15 -> 17 [size =\"8297472\"]\n  15 -> 18 [size =\"8297472\"]\n  16 [size=\"66242560\", alpha=\"0.15\", expect_size=\"19872768\"] \n  16 -> 20 [size =\"19872768\"]\n  17 [size=\"76584960\", alpha=\"0.17\", expect_size=\"22975488\"] \n  18 [size=\"163273387\", alpha=\"0.10\", expect_size=\"48982016\"] \n  19 [size=\"48390827\", alpha=\"0.04\", expect_size=\"14517248\"] \n  20 [size=\"121262080\", alpha=\"0.20\", expect_size=\"36378624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74401792\", alpha=\"0.20\", expect_size=\"37200896\"] \n  1 -> 2 [size =\"37200896\"]\n  2 [size=\"81170432\", alpha=\"0.01\", expect_size=\"40585216\"] \n  2 -> 3 [size =\"40585216\"]\n  3 [size=\"13680640\", alpha=\"0.05\", expect_size=\"6840320\"] \n  3 -> 4 [size =\"6840320\"]\n  4 [size=\"83877888\", alpha=\"0.12\", expect_size=\"41938944\"] \n  4 -> 5 [size =\"41938944\"]\n  5 [size=\"71903232\", alpha=\"0.07\", expect_size=\"35951616\"] \n  5 -> 6 [size =\"35951616\"]\n  6 [size=\"68089856\", alpha=\"0.07\", expect_size=\"34044928\"] \n  6 -> 7 [size =\"34044928\"]\n  7 [size=\"48646144\", alpha=\"0.11\", expect_size=\"24323072\"] \n  7 -> 8 [size =\"24323072\"]\n  8 [size=\"48775168\", alpha=\"0.02\", expect_size=\"24387584\"] \n  8 -> 9 [size =\"24387584\"]\n  9 [size=\"90056704\", alpha=\"0.12\", expect_size=\"45028352\"] \n  9 -> 10 [size =\"45028352\"]\n  10 [size=\"80998400\", alpha=\"0.03\", expect_size=\"40499200\"] \n  10 -> 11 [size =\"40499200\"]\n  11 [size=\"26210304\", alpha=\"0.20\", expect_size=\"13105152\"] \n  11 -> 12 [size =\"13105152\"]\n  12 [size=\"23924736\", alpha=\"0.10\", expect_size=\"11962368\"] \n  12 -> 13 [size =\"11962368\"]\n  13 [size=\"27418624\", alpha=\"0.09\", expect_size=\"13709312\"] \n  13 -> 14 [size =\"13709312\"]\n  14 [size=\"49895424\", alpha=\"0.09\", expect_size=\"24947712\"] \n  14 -> 15 [size =\"24947712\"]\n  15 [size=\"104826880\", alpha=\"0.06\", expect_size=\"52413440\"] \n  15 -> 16 [size =\"52413440\"]\n  16 [size=\"44163072\", alpha=\"0.09\", expect_size=\"22081536\"] \n  16 -> 17 [size =\"22081536\"]\n  17 [size=\"79075328\", alpha=\"0.02\", expect_size=\"39537664\"] \n  17 -> 18 [size =\"39537664\"]\n  18 [size=\"38598656\", alpha=\"0.17\", expect_size=\"19299328\"] \n  18 -> 19 [size =\"19299328\"]\n  19 [size=\"49635328\", alpha=\"0.03\", expect_size=\"24817664\"] \n  19 -> 20 [size =\"24817664\"]\n  20 [size=\"12103680\", alpha=\"0.12\", expect_size=\"6051840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61406720\", alpha=\"0.16\", expect_size=\"24562688\"] \n  1 -> 9 [size =\"24562688\"]\n  1 -> 10 [size =\"24562688\"]\n  1 -> 11 [size =\"24562688\"]\n  1 -> 12 [size =\"24562688\"]\n  2 [size=\"98972160\", alpha=\"0.03\", expect_size=\"39588864\"] \n  2 -> 9 [size =\"39588864\"]\n  2 -> 13 [size =\"39588864\"]\n  2 -> 14 [size =\"39588864\"]\n  2 -> 15 [size =\"39588864\"]\n  3 [size=\"55864320\", alpha=\"0.17\", expect_size=\"22345728\"] \n  3 -> 10 [size =\"22345728\"]\n  3 -> 15 [size =\"22345728\"]\n  4 [size=\"112094720\", alpha=\"0.01\", expect_size=\"44837888\"] \n  4 -> 10 [size =\"44837888\"]\n  5 [size=\"59566080\", alpha=\"0.13\", expect_size=\"23826432\"] \n  5 -> 10 [size =\"23826432\"]\n  5 -> 12 [size =\"23826432\"]\n  5 -> 13 [size =\"23826432\"]\n  5 -> 14 [size =\"23826432\"]\n  6 [size=\"60270080\", alpha=\"0.06\", expect_size=\"24108032\"] \n  6 -> 8 [size =\"24108032\"]\n  6 -> 9 [size =\"24108032\"]\n  6 -> 10 [size =\"24108032\"]\n  6 -> 12 [size =\"24108032\"]\n  7 [size=\"125432320\", alpha=\"0.20\", expect_size=\"50172928\"] \n  7 -> 11 [size =\"50172928\"]\n  7 -> 12 [size =\"50172928\"]\n  7 -> 14 [size =\"50172928\"]\n  8 [size=\"68861440\", alpha=\"0.19\", expect_size=\"27544576\"] \n  8 -> 16 [size =\"27544576\"]\n  8 -> 20 [size =\"27544576\"]\n  9 [size=\"109826560\", alpha=\"0.08\", expect_size=\"43930624\"] \n  9 -> 17 [size =\"43930624\"]\n  9 -> 18 [size =\"43930624\"]\n  9 -> 19 [size =\"43930624\"]\n  9 -> 20 [size =\"43930624\"]\n  10 [size=\"97850880\", alpha=\"0.02\", expect_size=\"39140352\"] \n  10 -> 16 [size =\"39140352\"]\n  10 -> 20 [size =\"39140352\"]\n  11 [size=\"86259200\", alpha=\"0.18\", expect_size=\"34503680\"] \n  11 -> 17 [size =\"34503680\"]\n  11 -> 19 [size =\"34503680\"]\n  11 -> 20 [size =\"34503680\"]\n  12 [size=\"60981760\", alpha=\"0.06\", expect_size=\"24392704\"] \n  12 -> 20 [size =\"24392704\"]\n  13 [size=\"78074880\", alpha=\"0.16\", expect_size=\"31229952\"] \n  13 -> 17 [size =\"31229952\"]\n  14 [size=\"62553600\", alpha=\"0.17\", expect_size=\"25021440\"] \n  14 -> 16 [size =\"25021440\"]\n  14 -> 17 [size =\"25021440\"]\n  14 -> 19 [size =\"25021440\"]\n  15 [size=\"66058240\", alpha=\"0.12\", expect_size=\"26423296\"] \n  15 -> 17 [size =\"26423296\"]\n  16 [size=\"25960960\", alpha=\"0.17\", expect_size=\"10384384\"] \n  17 [size=\"63185920\", alpha=\"0.04\", expect_size=\"25274368\"] \n  18 [size=\"61240320\", alpha=\"0.03\", expect_size=\"24496128\"] \n  19 [size=\"54627840\", alpha=\"0.12\", expect_size=\"21851136\"] \n  20 [size=\"101073920\", alpha=\"0.01\", expect_size=\"40429568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29159424\", alpha=\"0.19\", expect_size=\"14579712\"] \n  1 -> 9 [size =\"14579712\"]\n  2 [size=\"102625280\", alpha=\"0.11\", expect_size=\"51312640\"] \n  2 -> 7 [size =\"51312640\"]\n  2 -> 8 [size =\"51312640\"]\n  2 -> 10 [size =\"51312640\"]\n  2 -> 11 [size =\"51312640\"]\n  3 [size=\"14417920\", alpha=\"0.03\", expect_size=\"7208960\"] \n  3 -> 8 [size =\"7208960\"]\n  3 -> 10 [size =\"7208960\"]\n  4 [size=\"71553024\", alpha=\"0.07\", expect_size=\"35776512\"] \n  5 [size=\"70244352\", alpha=\"0.16\", expect_size=\"35122176\"] \n  5 -> 7 [size =\"35122176\"]\n  6 [size=\"17076224\", alpha=\"0.12\", expect_size=\"8538112\"] \n  6 -> 8 [size =\"8538112\"]\n  7 [size=\"37894144\", alpha=\"0.19\", expect_size=\"18947072\"] \n  7 -> 14 [size =\"18947072\"]\n  8 [size=\"53712896\", alpha=\"0.05\", expect_size=\"26856448\"] \n  8 -> 14 [size =\"26856448\"]\n  8 -> 16 [size =\"26856448\"]\n  9 [size=\"68304896\", alpha=\"0.10\", expect_size=\"34152448\"] \n  9 -> 12 [size =\"34152448\"]\n  9 -> 13 [size =\"34152448\"]\n  9 -> 14 [size =\"34152448\"]\n  9 -> 16 [size =\"34152448\"]\n  10 [size=\"94552064\", alpha=\"0.10\", expect_size=\"47276032\"] \n  10 -> 13 [size =\"47276032\"]\n  10 -> 14 [size =\"47276032\"]\n  10 -> 16 [size =\"47276032\"]\n  11 [size=\"52701184\", alpha=\"0.05\", expect_size=\"26350592\"] \n  11 -> 12 [size =\"26350592\"]\n  11 -> 15 [size =\"26350592\"]\n  12 [size=\"48760832\", alpha=\"0.10\", expect_size=\"24380416\"] \n  12 -> 18 [size =\"24380416\"]\n  12 -> 20 [size =\"24380416\"]\n  13 [size=\"99901440\", alpha=\"0.14\", expect_size=\"49950720\"] \n  13 -> 18 [size =\"49950720\"]\n  13 -> 19 [size =\"49950720\"]\n  14 [size=\"20054016\", alpha=\"0.15\", expect_size=\"10027008\"] \n  14 -> 18 [size =\"10027008\"]\n  14 -> 19 [size =\"10027008\"]\n  14 -> 20 [size =\"10027008\"]\n  15 [size=\"50987008\", alpha=\"0.19\", expect_size=\"25493504\"] \n  15 -> 19 [size =\"25493504\"]\n  16 [size=\"32487424\", alpha=\"0.18\", expect_size=\"16243712\"] \n  16 -> 17 [size =\"16243712\"]\n  16 -> 18 [size =\"16243712\"]\n  17 [size=\"87406592\", alpha=\"0.03\", expect_size=\"43703296\"] \n  18 [size=\"83378176\", alpha=\"0.01\", expect_size=\"41689088\"] \n  19 [size=\"11782144\", alpha=\"0.02\", expect_size=\"5891072\"] \n  20 [size=\"57708544\", alpha=\"0.03\", expect_size=\"28854272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28905472\", alpha=\"0.03\", expect_size=\"14452736\"] \n  1 -> 10 [size =\"14452736\"]\n  1 -> 11 [size =\"14452736\"]\n  1 -> 13 [size =\"14452736\"]\n  1 -> 14 [size =\"14452736\"]\n  2 [size=\"27320320\", alpha=\"0.07\", expect_size=\"13660160\"] \n  2 -> 8 [size =\"13660160\"]\n  2 -> 10 [size =\"13660160\"]\n  2 -> 13 [size =\"13660160\"]\n  2 -> 14 [size =\"13660160\"]\n  2 -> 16 [size =\"13660160\"]\n  3 [size=\"30199808\", alpha=\"0.00\", expect_size=\"15099904\"] \n  3 -> 9 [size =\"15099904\"]\n  3 -> 14 [size =\"15099904\"]\n  3 -> 15 [size =\"15099904\"]\n  4 [size=\"100483072\", alpha=\"0.00\", expect_size=\"50241536\"] \n  4 -> 12 [size =\"50241536\"]\n  4 -> 15 [size =\"50241536\"]\n  4 -> 16 [size =\"50241536\"]\n  4 -> 17 [size =\"50241536\"]\n  5 [size=\"80650240\", alpha=\"0.05\", expect_size=\"40325120\"] \n  5 -> 10 [size =\"40325120\"]\n  5 -> 13 [size =\"40325120\"]\n  5 -> 16 [size =\"40325120\"]\n  6 [size=\"75231232\", alpha=\"0.02\", expect_size=\"37615616\"] \n  6 -> 10 [size =\"37615616\"]\n  6 -> 11 [size =\"37615616\"]\n  6 -> 13 [size =\"37615616\"]\n  6 -> 16 [size =\"37615616\"]\n  7 [size=\"27955200\", alpha=\"0.10\", expect_size=\"13977600\"] \n  7 -> 11 [size =\"13977600\"]\n  7 -> 14 [size =\"13977600\"]\n  7 -> 15 [size =\"13977600\"]\n  8 [size=\"49176576\", alpha=\"0.16\", expect_size=\"24588288\"] \n  8 -> 19 [size =\"24588288\"]\n  8 -> 20 [size =\"24588288\"]\n  9 [size=\"69398528\", alpha=\"0.13\", expect_size=\"34699264\"] \n  10 [size=\"77365248\", alpha=\"0.10\", expect_size=\"38682624\"] \n  10 -> 18 [size =\"38682624\"]\n  10 -> 19 [size =\"38682624\"]\n  11 [size=\"41185280\", alpha=\"0.12\", expect_size=\"20592640\"] \n  11 -> 18 [size =\"20592640\"]\n  12 [size=\"57604096\", alpha=\"0.13\", expect_size=\"28802048\"] \n  12 -> 18 [size =\"28802048\"]\n  13 [size=\"92764160\", alpha=\"0.14\", expect_size=\"46382080\"] \n  13 -> 18 [size =\"46382080\"]\n  14 [size=\"94898176\", alpha=\"0.19\", expect_size=\"47449088\"] \n  14 -> 18 [size =\"47449088\"]\n  14 -> 19 [size =\"47449088\"]\n  15 [size=\"95252480\", alpha=\"0.09\", expect_size=\"47626240\"] \n  15 -> 18 [size =\"47626240\"]\n  15 -> 20 [size =\"47626240\"]\n  16 [size=\"22206464\", alpha=\"0.17\", expect_size=\"11103232\"] \n  16 -> 18 [size =\"11103232\"]\n  16 -> 19 [size =\"11103232\"]\n  16 -> 20 [size =\"11103232\"]\n  17 [size=\"33079296\", alpha=\"0.00\", expect_size=\"16539648\"] \n  17 -> 20 [size =\"16539648\"]\n  18 [size=\"78366720\", alpha=\"0.19\", expect_size=\"39183360\"] \n  19 [size=\"59195392\", alpha=\"0.04\", expect_size=\"29597696\"] \n  20 [size=\"27607040\", alpha=\"0.00\", expect_size=\"13803520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73274027\", alpha=\"0.03\", expect_size=\"21982208\"] \n  1 -> 2 [size =\"21982208\"]\n  1 -> 3 [size =\"21982208\"]\n  2 [size=\"74192213\", alpha=\"0.02\", expect_size=\"22257664\"] \n  2 -> 5 [size =\"22257664\"]\n  3 [size=\"130501973\", alpha=\"0.06\", expect_size=\"39150592\"] \n  3 -> 4 [size =\"39150592\"]\n  4 [size=\"112414720\", alpha=\"0.07\", expect_size=\"33724416\"] \n  4 -> 6 [size =\"33724416\"]\n  5 [size=\"76888747\", alpha=\"0.10\", expect_size=\"23066624\"] \n  6 [size=\"172530347\", alpha=\"0.19\", expect_size=\"51759104\"] \n  6 -> 7 [size =\"51759104\"]\n  6 -> 8 [size =\"51759104\"]\n  7 [size=\"48592213\", alpha=\"0.13\", expect_size=\"14577664\"] \n  7 -> 9 [size =\"14577664\"]\n  8 [size=\"101645653\", alpha=\"0.16\", expect_size=\"30493696\"] \n  9 [size=\"86316373\", alpha=\"0.15\", expect_size=\"25894912\"] \n  9 -> 10 [size =\"25894912\"]\n  9 -> 11 [size =\"25894912\"]\n  10 [size=\"67529387\", alpha=\"0.02\", expect_size=\"20258816\"] \n  10 -> 12 [size =\"20258816\"]\n  11 [size=\"108243627\", alpha=\"0.02\", expect_size=\"32473088\"] \n  11 -> 12 [size =\"32473088\"]\n  12 [size=\"134287360\", alpha=\"0.17\", expect_size=\"40286208\"] \n  12 -> 13 [size =\"40286208\"]\n  12 -> 14 [size =\"40286208\"]\n  13 [size=\"146193067\", alpha=\"0.12\", expect_size=\"43857920\"] \n  13 -> 16 [size =\"43857920\"]\n  14 [size=\"35642027\", alpha=\"0.17\", expect_size=\"10692608\"] \n  14 -> 15 [size =\"10692608\"]\n  14 -> 16 [size =\"10692608\"]\n  15 [size=\"94330880\", alpha=\"0.01\", expect_size=\"28299264\"] \n  16 [size=\"18776747\", alpha=\"0.07\", expect_size=\"5633024\"] \n  16 -> 17 [size =\"5633024\"]\n  16 -> 18 [size =\"5633024\"]\n  17 [size=\"167509333\", alpha=\"0.07\", expect_size=\"50252800\"] \n  18 [size=\"115298987\", alpha=\"0.05\", expect_size=\"34589696\"] \n  18 -> 19 [size =\"34589696\"]\n  19 [size=\"81373867\", alpha=\"0.07\", expect_size=\"24412160\"] \n  19 -> 20 [size =\"24412160\"]\n  20 [size=\"45004800\", alpha=\"0.20\", expect_size=\"13501440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173260800\", alpha=\"0.06\", expect_size=\"51978240\"] \n  1 -> 6 [size =\"51978240\"]\n  1 -> 8 [size =\"51978240\"]\n  1 -> 9 [size =\"51978240\"]\n  1 -> 10 [size =\"51978240\"]\n  1 -> 11 [size =\"51978240\"]\n  2 [size=\"139690667\", alpha=\"0.10\", expect_size=\"41907200\"] \n  2 -> 7 [size =\"41907200\"]\n  2 -> 8 [size =\"41907200\"]\n  2 -> 9 [size =\"41907200\"]\n  2 -> 10 [size =\"41907200\"]\n  2 -> 11 [size =\"41907200\"]\n  2 -> 12 [size =\"41907200\"]\n  3 [size=\"140035413\", alpha=\"0.18\", expect_size=\"42010624\"] \n  3 -> 9 [size =\"42010624\"]\n  3 -> 10 [size =\"42010624\"]\n  3 -> 11 [size =\"42010624\"]\n  3 -> 12 [size =\"42010624\"]\n  4 [size=\"145506987\", alpha=\"0.17\", expect_size=\"43652096\"] \n  4 -> 6 [size =\"43652096\"]\n  4 -> 8 [size =\"43652096\"]\n  4 -> 12 [size =\"43652096\"]\n  5 [size=\"149009067\", alpha=\"0.01\", expect_size=\"44702720\"] \n  6 [size=\"78107307\", alpha=\"0.00\", expect_size=\"23432192\"] \n  6 -> 13 [size =\"23432192\"]\n  6 -> 14 [size =\"23432192\"]\n  6 -> 20 [size =\"23432192\"]\n  7 [size=\"37266773\", alpha=\"0.14\", expect_size=\"11180032\"] \n  7 -> 13 [size =\"11180032\"]\n  7 -> 18 [size =\"11180032\"]\n  8 [size=\"37201920\", alpha=\"0.18\", expect_size=\"11160576\"] \n  8 -> 14 [size =\"11160576\"]\n  8 -> 17 [size =\"11160576\"]\n  8 -> 20 [size =\"11160576\"]\n  9 [size=\"123931307\", alpha=\"0.19\", expect_size=\"37179392\"] \n  9 -> 13 [size =\"37179392\"]\n  9 -> 17 [size =\"37179392\"]\n  9 -> 20 [size =\"37179392\"]\n  10 [size=\"104349013\", alpha=\"0.05\", expect_size=\"31304704\"] \n  10 -> 15 [size =\"31304704\"]\n  10 -> 19 [size =\"31304704\"]\n  11 [size=\"68864000\", alpha=\"0.05\", expect_size=\"20659200\"] \n  11 -> 13 [size =\"20659200\"]\n  11 -> 15 [size =\"20659200\"]\n  11 -> 18 [size =\"20659200\"]\n  12 [size=\"114780160\", alpha=\"0.12\", expect_size=\"34434048\"] \n  12 -> 16 [size =\"34434048\"]\n  12 -> 17 [size =\"34434048\"]\n  12 -> 18 [size =\"34434048\"]\n  12 -> 20 [size =\"34434048\"]\n  13 [size=\"33232213\", alpha=\"0.11\", expect_size=\"9969664\"] \n  14 [size=\"21097813\", alpha=\"0.04\", expect_size=\"6329344\"] \n  15 [size=\"152439467\", alpha=\"0.20\", expect_size=\"45731840\"] \n  16 [size=\"162856960\", alpha=\"0.19\", expect_size=\"48857088\"] \n  17 [size=\"165816320\", alpha=\"0.04\", expect_size=\"49744896\"] \n  18 [size=\"117418667\", alpha=\"0.11\", expect_size=\"35225600\"] \n  19 [size=\"101198507\", alpha=\"0.12\", expect_size=\"30359552\"] \n  20 [size=\"97129813\", alpha=\"0.14\", expect_size=\"29138944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128302080\", alpha=\"0.11\", expect_size=\"51320832\"] \n  1 -> 10 [size =\"51320832\"]\n  1 -> 11 [size =\"51320832\"]\n  1 -> 12 [size =\"51320832\"]\n  1 -> 15 [size =\"51320832\"]\n  1 -> 15 [size =\"51320832\"]\n  2 [size=\"86630400\", alpha=\"0.02\", expect_size=\"34652160\"] \n  2 -> 9 [size =\"34652160\"]\n  2 -> 11 [size =\"34652160\"]\n  2 -> 12 [size =\"34652160\"]\n  3 [size=\"18792960\", alpha=\"0.13\", expect_size=\"7517184\"] \n  3 -> 9 [size =\"7517184\"]\n  3 -> 11 [size =\"7517184\"]\n  3 -> 12 [size =\"7517184\"]\n  4 [size=\"20098560\", alpha=\"0.09\", expect_size=\"8039424\"] \n  4 -> 9 [size =\"8039424\"]\n  4 -> 10 [size =\"8039424\"]\n  4 -> 13 [size =\"8039424\"]\n  5 [size=\"81774080\", alpha=\"0.06\", expect_size=\"32709632\"] \n  5 -> 8 [size =\"32709632\"]\n  5 -> 9 [size =\"32709632\"]\n  5 -> 10 [size =\"32709632\"]\n  5 -> 13 [size =\"32709632\"]\n  6 [size=\"67220480\", alpha=\"0.18\", expect_size=\"26888192\"] \n  6 -> 12 [size =\"26888192\"]\n  6 -> 13 [size =\"26888192\"]\n  7 [size=\"119439360\", alpha=\"0.09\", expect_size=\"47775744\"] \n  7 -> 11 [size =\"47775744\"]\n  7 -> 12 [size =\"47775744\"]\n  7 -> 13 [size =\"47775744\"]\n  7 -> 14 [size =\"47775744\"]\n  7 -> 15 [size =\"47775744\"]\n  8 [size=\"110684160\", alpha=\"0.13\", expect_size=\"44273664\"] \n  8 -> 17 [size =\"44273664\"]\n  9 [size=\"60802560\", alpha=\"0.08\", expect_size=\"24321024\"] \n  9 -> 19 [size =\"24321024\"]\n  9 -> 20 [size =\"24321024\"]\n  10 [size=\"92134400\", alpha=\"0.19\", expect_size=\"36853760\"] \n  10 -> 18 [size =\"36853760\"]\n  10 -> 20 [size =\"36853760\"]\n  11 [size=\"71610880\", alpha=\"0.15\", expect_size=\"28644352\"] \n  11 -> 17 [size =\"28644352\"]\n  11 -> 19 [size =\"28644352\"]\n  12 [size=\"19228160\", alpha=\"0.19\", expect_size=\"7691264\"] \n  12 -> 17 [size =\"7691264\"]\n  12 -> 18 [size =\"7691264\"]\n  13 [size=\"30215680\", alpha=\"0.01\", expect_size=\"12086272\"] \n  13 -> 16 [size =\"12086272\"]\n  13 -> 17 [size =\"12086272\"]\n  14 [size=\"109107200\", alpha=\"0.11\", expect_size=\"43642880\"] \n  14 -> 16 [size =\"43642880\"]\n  14 -> 18 [size =\"43642880\"]\n  15 [size=\"46443520\", alpha=\"0.05\", expect_size=\"18577408\"] \n  15 -> 16 [size =\"18577408\"]\n  16 [size=\"79687680\", alpha=\"0.16\", expect_size=\"31875072\"] \n  17 [size=\"68331520\", alpha=\"0.16\", expect_size=\"27332608\"] \n  18 [size=\"123054080\", alpha=\"0.03\", expect_size=\"49221632\"] \n  19 [size=\"80130560\", alpha=\"0.16\", expect_size=\"32052224\"] \n  20 [size=\"129889280\", alpha=\"0.18\", expect_size=\"51955712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64796160\", alpha=\"0.03\", expect_size=\"25918464\"] \n  1 -> 10 [size =\"25918464\"]\n  1 -> 13 [size =\"25918464\"]\n  2 [size=\"72765440\", alpha=\"0.17\", expect_size=\"29106176\"] \n  2 -> 13 [size =\"29106176\"]\n  2 -> 14 [size =\"29106176\"]\n  2 -> 19 [size =\"29106176\"]\n  3 [size=\"38320640\", alpha=\"0.02\", expect_size=\"15328256\"] \n  3 -> 15 [size =\"15328256\"]\n  3 -> 18 [size =\"15328256\"]\n  4 [size=\"13570560\", alpha=\"0.01\", expect_size=\"5428224\"] \n  4 -> 16 [size =\"5428224\"]\n  5 [size=\"68001280\", alpha=\"0.02\", expect_size=\"27200512\"] \n  5 -> 12 [size =\"27200512\"]\n  5 -> 16 [size =\"27200512\"]\n  5 -> 17 [size =\"27200512\"]\n  6 [size=\"51560960\", alpha=\"0.08\", expect_size=\"20624384\"] \n  6 -> 19 [size =\"20624384\"]\n  7 [size=\"20979200\", alpha=\"0.09\", expect_size=\"8391680\"] \n  7 -> 10 [size =\"8391680\"]\n  7 -> 17 [size =\"8391680\"]\n  7 -> 19 [size =\"8391680\"]\n  7 -> 20 [size =\"8391680\"]\n  8 [size=\"98920960\", alpha=\"0.06\", expect_size=\"39568384\"] \n  8 -> 10 [size =\"39568384\"]\n  8 -> 12 [size =\"39568384\"]\n  8 -> 19 [size =\"39568384\"]\n  9 [size=\"81587200\", alpha=\"0.08\", expect_size=\"32634880\"] \n  9 -> 10 [size =\"32634880\"]\n  9 -> 11 [size =\"32634880\"]\n  9 -> 19 [size =\"32634880\"]\n  10 [size=\"81338880\", alpha=\"0.10\", expect_size=\"32535552\"] \n  11 [size=\"61992960\", alpha=\"0.03\", expect_size=\"24797184\"] \n  12 [size=\"82624000\", alpha=\"0.10\", expect_size=\"33049600\"] \n  13 [size=\"64030720\", alpha=\"0.14\", expect_size=\"25612288\"] \n  14 [size=\"78714880\", alpha=\"0.02\", expect_size=\"31485952\"] \n  15 [size=\"86960640\", alpha=\"0.02\", expect_size=\"34784256\"] \n  16 [size=\"98347520\", alpha=\"0.19\", expect_size=\"39339008\"] \n  17 [size=\"24888320\", alpha=\"0.20\", expect_size=\"9955328\"] \n  18 [size=\"75415040\", alpha=\"0.16\", expect_size=\"30166016\"] \n  19 [size=\"112104960\", alpha=\"0.03\", expect_size=\"44841984\"] \n  20 [size=\"38384640\", alpha=\"0.11\", expect_size=\"15353856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28846080\", alpha=\"0.16\", expect_size=\"14423040\"] \n  1 -> 2 [size =\"14423040\"]\n  2 [size=\"52934656\", alpha=\"0.05\", expect_size=\"26467328\"] \n  2 -> 3 [size =\"26467328\"]\n  3 [size=\"102651904\", alpha=\"0.11\", expect_size=\"51325952\"] \n  3 -> 4 [size =\"51325952\"]\n  4 [size=\"74510336\", alpha=\"0.18\", expect_size=\"37255168\"] \n  4 -> 5 [size =\"37255168\"]\n  5 [size=\"89335808\", alpha=\"0.13\", expect_size=\"44667904\"] \n  5 -> 6 [size =\"44667904\"]\n  6 [size=\"45631488\", alpha=\"0.04\", expect_size=\"22815744\"] \n  6 -> 7 [size =\"22815744\"]\n  7 [size=\"38567936\", alpha=\"0.02\", expect_size=\"19283968\"] \n  7 -> 8 [size =\"19283968\"]\n  8 [size=\"98463744\", alpha=\"0.15\", expect_size=\"49231872\"] \n  8 -> 9 [size =\"49231872\"]\n  9 [size=\"66652160\", alpha=\"0.14\", expect_size=\"33326080\"] \n  9 -> 10 [size =\"33326080\"]\n  10 [size=\"14469120\", alpha=\"0.18\", expect_size=\"7234560\"] \n  10 -> 11 [size =\"7234560\"]\n  11 [size=\"31987712\", alpha=\"0.01\", expect_size=\"15993856\"] \n  11 -> 12 [size =\"15993856\"]\n  12 [size=\"14573568\", alpha=\"0.15\", expect_size=\"7286784\"] \n  12 -> 13 [size =\"7286784\"]\n  13 [size=\"37908480\", alpha=\"0.19\", expect_size=\"18954240\"] \n  13 -> 14 [size =\"18954240\"]\n  14 [size=\"88213504\", alpha=\"0.12\", expect_size=\"44106752\"] \n  14 -> 15 [size =\"44106752\"]\n  15 [size=\"78139392\", alpha=\"0.15\", expect_size=\"39069696\"] \n  15 -> 16 [size =\"39069696\"]\n  16 [size=\"44984320\", alpha=\"0.07\", expect_size=\"22492160\"] \n  16 -> 17 [size =\"22492160\"]\n  17 [size=\"65206272\", alpha=\"0.06\", expect_size=\"32603136\"] \n  17 -> 18 [size =\"32603136\"]\n  18 [size=\"74577920\", alpha=\"0.11\", expect_size=\"37288960\"] \n  18 -> 19 [size =\"37288960\"]\n  19 [size=\"52101120\", alpha=\"0.14\", expect_size=\"26050560\"] \n  19 -> 20 [size =\"26050560\"]\n  20 [size=\"21938176\", alpha=\"0.15\", expect_size=\"10969088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59726507\", alpha=\"0.17\", expect_size=\"17917952\"] \n  1 -> 4 [size =\"17917952\"]\n  2 [size=\"145404587\", alpha=\"0.12\", expect_size=\"43621376\"] \n  2 -> 3 [size =\"43621376\"]\n  3 [size=\"98252800\", alpha=\"0.15\", expect_size=\"29475840\"] \n  3 -> 5 [size =\"29475840\"]\n  4 [size=\"53155840\", alpha=\"0.04\", expect_size=\"15946752\"] \n  5 [size=\"51063467\", alpha=\"0.12\", expect_size=\"15319040\"] \n  5 -> 6 [size =\"15319040\"]\n  6 [size=\"53357227\", alpha=\"0.08\", expect_size=\"16007168\"] \n  6 -> 7 [size =\"16007168\"]\n  7 [size=\"144554667\", alpha=\"0.10\", expect_size=\"43366400\"] \n  7 -> 8 [size =\"43366400\"]\n  7 -> 9 [size =\"43366400\"]\n  8 [size=\"50039467\", alpha=\"0.08\", expect_size=\"15011840\"] \n  8 -> 11 [size =\"15011840\"]\n  9 [size=\"174592000\", alpha=\"0.17\", expect_size=\"52377600\"] \n  9 -> 10 [size =\"52377600\"]\n  10 [size=\"105294507\", alpha=\"0.10\", expect_size=\"31588352\"] \n  10 -> 12 [size =\"31588352\"]\n  11 [size=\"100758187\", alpha=\"0.08\", expect_size=\"30227456\"] \n  12 [size=\"76369920\", alpha=\"0.15\", expect_size=\"22910976\"] \n  12 -> 13 [size =\"22910976\"]\n  13 [size=\"174595413\", alpha=\"0.12\", expect_size=\"52378624\"] \n  13 -> 14 [size =\"52378624\"]\n  13 -> 15 [size =\"52378624\"]\n  14 [size=\"132887893\", alpha=\"0.16\", expect_size=\"39866368\"] \n  14 -> 16 [size =\"39866368\"]\n  15 [size=\"166642347\", alpha=\"0.14\", expect_size=\"49992704\"] \n  16 [size=\"102014293\", alpha=\"0.10\", expect_size=\"30604288\"] \n  16 -> 17 [size =\"30604288\"]\n  16 -> 18 [size =\"30604288\"]\n  17 [size=\"161781760\", alpha=\"0.06\", expect_size=\"48534528\"] \n  17 -> 19 [size =\"48534528\"]\n  17 -> 20 [size =\"48534528\"]\n  18 [size=\"86930773\", alpha=\"0.10\", expect_size=\"26079232\"] \n  19 [size=\"151019520\", alpha=\"0.14\", expect_size=\"45305856\"] \n  20 [size=\"125262507\", alpha=\"0.02\", expect_size=\"37578752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11048960\", alpha=\"0.01\", expect_size=\"5524480\"] \n  1 -> 4 [size =\"5524480\"]\n  1 -> 5 [size =\"5524480\"]\n  1 -> 6 [size =\"5524480\"]\n  2 [size=\"78370816\", alpha=\"0.19\", expect_size=\"39185408\"] \n  3 [size=\"35268608\", alpha=\"0.18\", expect_size=\"17634304\"] \n  3 -> 5 [size =\"17634304\"]\n  3 -> 6 [size =\"17634304\"]\n  4 [size=\"81360896\", alpha=\"0.18\", expect_size=\"40680448\"] \n  5 [size=\"104431616\", alpha=\"0.19\", expect_size=\"52215808\"] \n  5 -> 7 [size =\"52215808\"]\n  5 -> 8 [size =\"52215808\"]\n  5 -> 10 [size =\"52215808\"]\n  6 [size=\"41168896\", alpha=\"0.18\", expect_size=\"20584448\"] \n  6 -> 9 [size =\"20584448\"]\n  7 [size=\"24872960\", alpha=\"0.06\", expect_size=\"12436480\"] \n  7 -> 12 [size =\"12436480\"]\n  8 [size=\"53430272\", alpha=\"0.18\", expect_size=\"26715136\"] \n  9 [size=\"18280448\", alpha=\"0.04\", expect_size=\"9140224\"] \n  9 -> 11 [size =\"9140224\"]\n  10 [size=\"88510464\", alpha=\"0.10\", expect_size=\"44255232\"] \n  11 [size=\"71417856\", alpha=\"0.02\", expect_size=\"35708928\"] \n  11 -> 13 [size =\"35708928\"]\n  12 [size=\"74496000\", alpha=\"0.05\", expect_size=\"37248000\"] \n  12 -> 14 [size =\"37248000\"]\n  12 -> 15 [size =\"37248000\"]\n  13 [size=\"70580224\", alpha=\"0.02\", expect_size=\"35290112\"] \n  13 -> 17 [size =\"35290112\"]\n  14 [size=\"60663808\", alpha=\"0.06\", expect_size=\"30331904\"] \n  14 -> 16 [size =\"30331904\"]\n  14 -> 17 [size =\"30331904\"]\n  14 -> 19 [size =\"30331904\"]\n  15 [size=\"50065408\", alpha=\"0.02\", expect_size=\"25032704\"] \n  15 -> 16 [size =\"25032704\"]\n  15 -> 18 [size =\"25032704\"]\n  15 -> 20 [size =\"25032704\"]\n  16 [size=\"47458304\", alpha=\"0.14\", expect_size=\"23729152\"] \n  17 [size=\"39923712\", alpha=\"0.07\", expect_size=\"19961856\"] \n  18 [size=\"68096000\", alpha=\"0.05\", expect_size=\"34048000\"] \n  19 [size=\"59887616\", alpha=\"0.09\", expect_size=\"29943808\"] \n  20 [size=\"80474112\", alpha=\"0.13\", expect_size=\"40237056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52889600\", alpha=\"0.13\", expect_size=\"15866880\"] \n  1 -> 5 [size =\"15866880\"]\n  2 [size=\"156723200\", alpha=\"0.06\", expect_size=\"47016960\"] \n  2 -> 7 [size =\"47016960\"]\n  3 [size=\"27118933\", alpha=\"0.08\", expect_size=\"8135680\"] \n  3 -> 6 [size =\"8135680\"]\n  3 -> 7 [size =\"8135680\"]\n  4 [size=\"122183680\", alpha=\"0.08\", expect_size=\"36655104\"] \n  5 [size=\"155361280\", alpha=\"0.02\", expect_size=\"46608384\"] \n  5 -> 10 [size =\"46608384\"]\n  5 -> 11 [size =\"46608384\"]\n  6 [size=\"84722347\", alpha=\"0.13\", expect_size=\"25416704\"] \n  6 -> 9 [size =\"25416704\"]\n  6 -> 10 [size =\"25416704\"]\n  7 [size=\"33935360\", alpha=\"0.14\", expect_size=\"10180608\"] \n  7 -> 8 [size =\"10180608\"]\n  8 [size=\"149275307\", alpha=\"0.11\", expect_size=\"44782592\"] \n  8 -> 12 [size =\"44782592\"]\n  8 -> 15 [size =\"44782592\"]\n  9 [size=\"144128000\", alpha=\"0.13\", expect_size=\"43238400\"] \n  10 [size=\"120207360\", alpha=\"0.06\", expect_size=\"36062208\"] \n  10 -> 13 [size =\"36062208\"]\n  10 -> 14 [size =\"36062208\"]\n  11 [size=\"82254507\", alpha=\"0.20\", expect_size=\"24676352\"] \n  11 -> 13 [size =\"24676352\"]\n  11 -> 15 [size =\"24676352\"]\n  12 [size=\"25862827\", alpha=\"0.03\", expect_size=\"7758848\"] \n  13 [size=\"69877760\", alpha=\"0.13\", expect_size=\"20963328\"] \n  13 -> 16 [size =\"20963328\"]\n  13 -> 18 [size =\"20963328\"]\n  13 -> 19 [size =\"20963328\"]\n  14 [size=\"128897707\", alpha=\"0.03\", expect_size=\"38669312\"] \n  14 -> 16 [size =\"38669312\"]\n  14 -> 17 [size =\"38669312\"]\n  14 -> 19 [size =\"38669312\"]\n  15 [size=\"36539733\", alpha=\"0.06\", expect_size=\"10961920\"] \n  15 -> 18 [size =\"10961920\"]\n  16 [size=\"54319787\", alpha=\"0.16\", expect_size=\"16295936\"] \n  16 -> 20 [size =\"16295936\"]\n  17 [size=\"157743787\", alpha=\"0.08\", expect_size=\"47323136\"] \n  17 -> 20 [size =\"47323136\"]\n  18 [size=\"112479573\", alpha=\"0.09\", expect_size=\"33743872\"] \n  19 [size=\"39127040\", alpha=\"0.01\", expect_size=\"11738112\"] \n  20 [size=\"143469227\", alpha=\"0.05\", expect_size=\"43040768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126095360\", alpha=\"0.10\", expect_size=\"50438144\"] \n  1 -> 13 [size =\"50438144\"]\n  1 -> 15 [size =\"50438144\"]\n  1 -> 16 [size =\"50438144\"]\n  1 -> 17 [size =\"50438144\"]\n  1 -> 19 [size =\"50438144\"]\n  2 [size=\"96378880\", alpha=\"0.16\", expect_size=\"38551552\"] \n  2 -> 13 [size =\"38551552\"]\n  2 -> 14 [size =\"38551552\"]\n  2 -> 16 [size =\"38551552\"]\n  2 -> 20 [size =\"38551552\"]\n  3 [size=\"102663680\", alpha=\"0.04\", expect_size=\"41065472\"] \n  3 -> 16 [size =\"41065472\"]\n  3 -> 18 [size =\"41065472\"]\n  3 -> 20 [size =\"41065472\"]\n  4 [size=\"26286080\", alpha=\"0.11\", expect_size=\"10514432\"] \n  4 -> 14 [size =\"10514432\"]\n  4 -> 16 [size =\"10514432\"]\n  4 -> 17 [size =\"10514432\"]\n  5 [size=\"115517440\", alpha=\"0.18\", expect_size=\"46206976\"] \n  5 -> 15 [size =\"46206976\"]\n  5 -> 16 [size =\"46206976\"]\n  5 -> 17 [size =\"46206976\"]\n  5 -> 20 [size =\"46206976\"]\n  6 [size=\"125516800\", alpha=\"0.09\", expect_size=\"50206720\"] \n  6 -> 14 [size =\"50206720\"]\n  6 -> 16 [size =\"50206720\"]\n  7 [size=\"104122880\", alpha=\"0.19\", expect_size=\"41649152\"] \n  7 -> 12 [size =\"41649152\"]\n  7 -> 16 [size =\"41649152\"]\n  7 -> 18 [size =\"41649152\"]\n  7 -> 20 [size =\"41649152\"]\n  8 [size=\"121175040\", alpha=\"0.01\", expect_size=\"48470016\"] \n  8 -> 13 [size =\"48470016\"]\n  8 -> 20 [size =\"48470016\"]\n  9 [size=\"30922240\", alpha=\"0.15\", expect_size=\"12368896\"] \n  9 -> 13 [size =\"12368896\"]\n  9 -> 14 [size =\"12368896\"]\n  9 -> 15 [size =\"12368896\"]\n  9 -> 18 [size =\"12368896\"]\n  10 [size=\"93798400\", alpha=\"0.20\", expect_size=\"37519360\"] \n  10 -> 13 [size =\"37519360\"]\n  10 -> 14 [size =\"37519360\"]\n  10 -> 18 [size =\"37519360\"]\n  10 -> 20 [size =\"37519360\"]\n  11 [size=\"89062400\", alpha=\"0.16\", expect_size=\"35624960\"] \n  11 -> 13 [size =\"35624960\"]\n  11 -> 14 [size =\"35624960\"]\n  11 -> 16 [size =\"35624960\"]\n  11 -> 17 [size =\"35624960\"]\n  12 [size=\"30878720\", alpha=\"0.05\", expect_size=\"12351488\"] \n  13 [size=\"123171840\", alpha=\"0.16\", expect_size=\"49268736\"] \n  14 [size=\"29593600\", alpha=\"0.14\", expect_size=\"11837440\"] \n  15 [size=\"97139200\", alpha=\"0.05\", expect_size=\"38855680\"] \n  16 [size=\"84689920\", alpha=\"0.01\", expect_size=\"33875968\"] \n  17 [size=\"22627840\", alpha=\"0.12\", expect_size=\"9051136\"] \n  18 [size=\"14410240\", alpha=\"0.03\", expect_size=\"5764096\"] \n  19 [size=\"22983680\", alpha=\"0.08\", expect_size=\"9193472\"] \n  20 [size=\"112947200\", alpha=\"0.20\", expect_size=\"45178880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66856960\", alpha=\"0.13\", expect_size=\"26742784\"] \n  1 -> 9 [size =\"26742784\"]\n  1 -> 10 [size =\"26742784\"]\n  1 -> 11 [size =\"26742784\"]\n  1 -> 12 [size =\"26742784\"]\n  1 -> 13 [size =\"26742784\"]\n  1 -> 14 [size =\"26742784\"]\n  2 [size=\"33730560\", alpha=\"0.07\", expect_size=\"13492224\"] \n  2 -> 8 [size =\"13492224\"]\n  2 -> 9 [size =\"13492224\"]\n  2 -> 13 [size =\"13492224\"]\n  3 [size=\"99289600\", alpha=\"0.09\", expect_size=\"39715840\"] \n  3 -> 9 [size =\"39715840\"]\n  3 -> 10 [size =\"39715840\"]\n  3 -> 11 [size =\"39715840\"]\n  3 -> 13 [size =\"39715840\"]\n  4 [size=\"33669120\", alpha=\"0.17\", expect_size=\"13467648\"] \n  4 -> 9 [size =\"13467648\"]\n  4 -> 11 [size =\"13467648\"]\n  5 [size=\"73674240\", alpha=\"0.20\", expect_size=\"29469696\"] \n  5 -> 9 [size =\"29469696\"]\n  5 -> 11 [size =\"29469696\"]\n  5 -> 13 [size =\"29469696\"]\n  5 -> 14 [size =\"29469696\"]\n  6 [size=\"91031040\", alpha=\"0.08\", expect_size=\"36412416\"] \n  6 -> 10 [size =\"36412416\"]\n  6 -> 11 [size =\"36412416\"]\n  6 -> 13 [size =\"36412416\"]\n  6 -> 14 [size =\"36412416\"]\n  7 [size=\"31708160\", alpha=\"0.03\", expect_size=\"12683264\"] \n  7 -> 9 [size =\"12683264\"]\n  7 -> 10 [size =\"12683264\"]\n  7 -> 11 [size =\"12683264\"]\n  7 -> 13 [size =\"12683264\"]\n  7 -> 14 [size =\"12683264\"]\n  8 [size=\"17689600\", alpha=\"0.01\", expect_size=\"7075840\"] \n  8 -> 15 [size =\"7075840\"]\n  8 -> 19 [size =\"7075840\"]\n  8 -> 20 [size =\"7075840\"]\n  9 [size=\"88465920\", alpha=\"0.16\", expect_size=\"35386368\"] \n  9 -> 17 [size =\"35386368\"]\n  9 -> 20 [size =\"35386368\"]\n  10 [size=\"47528960\", alpha=\"0.02\", expect_size=\"19011584\"] \n  10 -> 15 [size =\"19011584\"]\n  10 -> 18 [size =\"19011584\"]\n  10 -> 20 [size =\"19011584\"]\n  11 [size=\"113914880\", alpha=\"0.10\", expect_size=\"45565952\"] \n  11 -> 15 [size =\"45565952\"]\n  11 -> 16 [size =\"45565952\"]\n  11 -> 18 [size =\"45565952\"]\n  11 -> 19 [size =\"45565952\"]\n  11 -> 20 [size =\"45565952\"]\n  12 [size=\"72289280\", alpha=\"0.07\", expect_size=\"28915712\"] \n  12 -> 15 [size =\"28915712\"]\n  12 -> 16 [size =\"28915712\"]\n  12 -> 19 [size =\"28915712\"]\n  12 -> 20 [size =\"28915712\"]\n  13 [size=\"115898880\", alpha=\"0.12\", expect_size=\"46359552\"] \n  13 -> 15 [size =\"46359552\"]\n  13 -> 16 [size =\"46359552\"]\n  14 [size=\"49251840\", alpha=\"0.15\", expect_size=\"19700736\"] \n  14 -> 15 [size =\"19700736\"]\n  14 -> 18 [size =\"19700736\"]\n  14 -> 20 [size =\"19700736\"]\n  15 [size=\"31662080\", alpha=\"0.00\", expect_size=\"12664832\"] \n  16 [size=\"29432320\", alpha=\"0.16\", expect_size=\"11772928\"] \n  17 [size=\"78520320\", alpha=\"0.13\", expect_size=\"31408128\"] \n  18 [size=\"97221120\", alpha=\"0.14\", expect_size=\"38888448\"] \n  19 [size=\"105625600\", alpha=\"0.13\", expect_size=\"42250240\"] \n  20 [size=\"83576320\", alpha=\"0.01\", expect_size=\"33430528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19248640\", alpha=\"0.05\", expect_size=\"7699456\"] \n  1 -> 2 [size =\"7699456\"]\n  2 [size=\"118097920\", alpha=\"0.10\", expect_size=\"47239168\"] \n  2 -> 3 [size =\"47239168\"]\n  3 [size=\"128440320\", alpha=\"0.03\", expect_size=\"51376128\"] \n  3 -> 4 [size =\"51376128\"]\n  4 [size=\"122211840\", alpha=\"0.06\", expect_size=\"48884736\"] \n  4 -> 5 [size =\"48884736\"]\n  5 [size=\"76183040\", alpha=\"0.08\", expect_size=\"30473216\"] \n  5 -> 6 [size =\"30473216\"]\n  6 [size=\"104524800\", alpha=\"0.15\", expect_size=\"41809920\"] \n  6 -> 7 [size =\"41809920\"]\n  7 [size=\"99752960\", alpha=\"0.13\", expect_size=\"39901184\"] \n  7 -> 8 [size =\"39901184\"]\n  8 [size=\"69248000\", alpha=\"0.13\", expect_size=\"27699200\"] \n  8 -> 9 [size =\"27699200\"]\n  9 [size=\"101826560\", alpha=\"0.01\", expect_size=\"40730624\"] \n  9 -> 10 [size =\"40730624\"]\n  10 [size=\"56657920\", alpha=\"0.02\", expect_size=\"22663168\"] \n  10 -> 11 [size =\"22663168\"]\n  11 [size=\"129461760\", alpha=\"0.17\", expect_size=\"51784704\"] \n  11 -> 12 [size =\"51784704\"]\n  12 [size=\"39472640\", alpha=\"0.17\", expect_size=\"15789056\"] \n  12 -> 13 [size =\"15789056\"]\n  13 [size=\"96696320\", alpha=\"0.08\", expect_size=\"38678528\"] \n  13 -> 14 [size =\"38678528\"]\n  14 [size=\"111728640\", alpha=\"0.18\", expect_size=\"44691456\"] \n  14 -> 15 [size =\"44691456\"]\n  15 [size=\"27430400\", alpha=\"0.12\", expect_size=\"10972160\"] \n  15 -> 16 [size =\"10972160\"]\n  16 [size=\"72120320\", alpha=\"0.07\", expect_size=\"28848128\"] \n  16 -> 17 [size =\"28848128\"]\n  17 [size=\"45337600\", alpha=\"0.02\", expect_size=\"18135040\"] \n  17 -> 18 [size =\"18135040\"]\n  18 [size=\"124331520\", alpha=\"0.02\", expect_size=\"49732608\"] \n  18 -> 19 [size =\"49732608\"]\n  19 [size=\"82196480\", alpha=\"0.18\", expect_size=\"32878592\"] \n  19 -> 20 [size =\"32878592\"]\n  20 [size=\"90577920\", alpha=\"0.05\", expect_size=\"36231168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54999040\", alpha=\"0.11\", expect_size=\"16499712\"] \n  1 -> 8 [size =\"16499712\"]\n  1 -> 10 [size =\"16499712\"]\n  1 -> 12 [size =\"16499712\"]\n  1 -> 14 [size =\"16499712\"]\n  1 -> 15 [size =\"16499712\"]\n  1 -> 16 [size =\"16499712\"]\n  2 [size=\"115305813\", alpha=\"0.02\", expect_size=\"34591744\"] \n  2 -> 8 [size =\"34591744\"]\n  2 -> 10 [size =\"34591744\"]\n  2 -> 12 [size =\"34591744\"]\n  2 -> 13 [size =\"34591744\"]\n  2 -> 14 [size =\"34591744\"]\n  2 -> 17 [size =\"34591744\"]\n  3 [size=\"28962133\", alpha=\"0.12\", expect_size=\"8688640\"] \n  3 -> 9 [size =\"8688640\"]\n  3 -> 10 [size =\"8688640\"]\n  3 -> 13 [size =\"8688640\"]\n  3 -> 14 [size =\"8688640\"]\n  4 [size=\"140810240\", alpha=\"0.16\", expect_size=\"42243072\"] \n  4 -> 8 [size =\"42243072\"]\n  4 -> 9 [size =\"42243072\"]\n  4 -> 10 [size =\"42243072\"]\n  4 -> 13 [size =\"42243072\"]\n  4 -> 14 [size =\"42243072\"]\n  4 -> 15 [size =\"42243072\"]\n  5 [size=\"73714347\", alpha=\"0.11\", expect_size=\"22114304\"] \n  5 -> 8 [size =\"22114304\"]\n  5 -> 9 [size =\"22114304\"]\n  5 -> 11 [size =\"22114304\"]\n  5 -> 12 [size =\"22114304\"]\n  5 -> 15 [size =\"22114304\"]\n  6 [size=\"86736213\", alpha=\"0.14\", expect_size=\"26020864\"] \n  6 -> 8 [size =\"26020864\"]\n  6 -> 11 [size =\"26020864\"]\n  6 -> 12 [size =\"26020864\"]\n  7 [size=\"156361387\", alpha=\"0.03\", expect_size=\"46908416\"] \n  7 -> 13 [size =\"46908416\"]\n  7 -> 14 [size =\"46908416\"]\n  8 [size=\"90975573\", alpha=\"0.18\", expect_size=\"27292672\"] \n  8 -> 20 [size =\"27292672\"]\n  9 [size=\"85551787\", alpha=\"0.02\", expect_size=\"25665536\"] \n  9 -> 20 [size =\"25665536\"]\n  10 [size=\"138588160\", alpha=\"0.00\", expect_size=\"41576448\"] \n  10 -> 18 [size =\"41576448\"]\n  10 -> 19 [size =\"41576448\"]\n  10 -> 20 [size =\"41576448\"]\n  11 [size=\"103304533\", alpha=\"0.03\", expect_size=\"30991360\"] \n  11 -> 19 [size =\"30991360\"]\n  11 -> 20 [size =\"30991360\"]\n  12 [size=\"29866667\", alpha=\"0.04\", expect_size=\"8960000\"] \n  12 -> 18 [size =\"8960000\"]\n  13 [size=\"44762453\", alpha=\"0.09\", expect_size=\"13428736\"] \n  14 [size=\"136949760\", alpha=\"0.17\", expect_size=\"41084928\"] \n  15 [size=\"108847787\", alpha=\"0.17\", expect_size=\"32654336\"] \n  15 -> 20 [size =\"32654336\"]\n  16 [size=\"36928853\", alpha=\"0.06\", expect_size=\"11078656\"] \n  17 [size=\"148729173\", alpha=\"0.19\", expect_size=\"44618752\"] \n  17 -> 20 [size =\"44618752\"]\n  18 [size=\"172161707\", alpha=\"0.18\", expect_size=\"51648512\"] \n  19 [size=\"159126187\", alpha=\"0.15\", expect_size=\"47737856\"] \n  20 [size=\"171120640\", alpha=\"0.19\", expect_size=\"51336192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38475093\", alpha=\"0.05\", expect_size=\"11542528\"] \n  1 -> 8 [size =\"11542528\"]\n  1 -> 11 [size =\"11542528\"]\n  2 [size=\"96525653\", alpha=\"0.02\", expect_size=\"28957696\"] \n  2 -> 7 [size =\"28957696\"]\n  3 [size=\"88715947\", alpha=\"0.15\", expect_size=\"26614784\"] \n  3 -> 7 [size =\"26614784\"]\n  3 -> 10 [size =\"26614784\"]\n  3 -> 11 [size =\"26614784\"]\n  4 [size=\"36679680\", alpha=\"0.17\", expect_size=\"11003904\"] \n  4 -> 7 [size =\"11003904\"]\n  4 -> 8 [size =\"11003904\"]\n  4 -> 9 [size =\"11003904\"]\n  4 -> 10 [size =\"11003904\"]\n  4 -> 11 [size =\"11003904\"]\n  5 [size=\"137390080\", alpha=\"0.12\", expect_size=\"41217024\"] \n  5 -> 9 [size =\"41217024\"]\n  5 -> 10 [size =\"41217024\"]\n  5 -> 11 [size =\"41217024\"]\n  6 [size=\"61610667\", alpha=\"0.04\", expect_size=\"18483200\"] \n  6 -> 9 [size =\"18483200\"]\n  6 -> 10 [size =\"18483200\"]\n  6 -> 11 [size =\"18483200\"]\n  7 [size=\"134690133\", alpha=\"0.19\", expect_size=\"40407040\"] \n  7 -> 12 [size =\"40407040\"]\n  7 -> 14 [size =\"40407040\"]\n  7 -> 17 [size =\"40407040\"]\n  8 [size=\"32938667\", alpha=\"0.07\", expect_size=\"9881600\"] \n  8 -> 13 [size =\"9881600\"]\n  8 -> 14 [size =\"9881600\"]\n  8 -> 15 [size =\"9881600\"]\n  8 -> 16 [size =\"9881600\"]\n  8 -> 17 [size =\"9881600\"]\n  8 -> 18 [size =\"9881600\"]\n  8 -> 19 [size =\"9881600\"]\n  8 -> 20 [size =\"9881600\"]\n  9 [size=\"109475840\", alpha=\"0.03\", expect_size=\"32842752\"] \n  9 -> 13 [size =\"32842752\"]\n  9 -> 14 [size =\"32842752\"]\n  9 -> 16 [size =\"32842752\"]\n  9 -> 19 [size =\"32842752\"]\n  9 -> 20 [size =\"32842752\"]\n  10 [size=\"65542827\", alpha=\"0.05\", expect_size=\"19662848\"] \n  10 -> 12 [size =\"19662848\"]\n  10 -> 13 [size =\"19662848\"]\n  10 -> 14 [size =\"19662848\"]\n  10 -> 15 [size =\"19662848\"]\n  10 -> 16 [size =\"19662848\"]\n  10 -> 19 [size =\"19662848\"]\n  10 -> 20 [size =\"19662848\"]\n  11 [size=\"47407787\", alpha=\"0.13\", expect_size=\"14222336\"] \n  11 -> 12 [size =\"14222336\"]\n  11 -> 13 [size =\"14222336\"]\n  11 -> 16 [size =\"14222336\"]\n  11 -> 18 [size =\"14222336\"]\n  11 -> 19 [size =\"14222336\"]\n  12 [size=\"85097813\", alpha=\"0.11\", expect_size=\"25529344\"] \n  13 [size=\"100802560\", alpha=\"0.10\", expect_size=\"30240768\"] \n  14 [size=\"62341120\", alpha=\"0.06\", expect_size=\"18702336\"] \n  15 [size=\"35423573\", alpha=\"0.19\", expect_size=\"10627072\"] \n  16 [size=\"130955947\", alpha=\"0.15\", expect_size=\"39286784\"] \n  17 [size=\"159034027\", alpha=\"0.09\", expect_size=\"47710208\"] \n  18 [size=\"151517867\", alpha=\"0.15\", expect_size=\"45455360\"] \n  19 [size=\"47267840\", alpha=\"0.20\", expect_size=\"14180352\"] \n  20 [size=\"67109547\", alpha=\"0.10\", expect_size=\"20132864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93745152\", alpha=\"0.20\", expect_size=\"46872576\"] \n  2 [size=\"55439360\", alpha=\"0.13\", expect_size=\"27719680\"] \n  2 -> 15 [size =\"27719680\"]\n  2 -> 16 [size =\"27719680\"]\n  2 -> 17 [size =\"27719680\"]\n  3 [size=\"77279232\", alpha=\"0.16\", expect_size=\"38639616\"] \n  4 [size=\"49420288\", alpha=\"0.20\", expect_size=\"24710144\"] \n  4 -> 15 [size =\"24710144\"]\n  4 -> 18 [size =\"24710144\"]\n  4 -> 20 [size =\"24710144\"]\n  5 [size=\"39548928\", alpha=\"0.07\", expect_size=\"19774464\"] \n  5 -> 16 [size =\"19774464\"]\n  5 -> 17 [size =\"19774464\"]\n  5 -> 18 [size =\"19774464\"]\n  5 -> 19 [size =\"19774464\"]\n  5 -> 20 [size =\"19774464\"]\n  6 [size=\"64813056\", alpha=\"0.16\", expect_size=\"32406528\"] \n  6 -> 15 [size =\"32406528\"]\n  6 -> 16 [size =\"32406528\"]\n  6 -> 17 [size =\"32406528\"]\n  6 -> 18 [size =\"32406528\"]\n  6 -> 20 [size =\"32406528\"]\n  7 [size=\"44566528\", alpha=\"0.01\", expect_size=\"22283264\"] \n  7 -> 16 [size =\"22283264\"]\n  7 -> 17 [size =\"22283264\"]\n  7 -> 18 [size =\"22283264\"]\n  7 -> 20 [size =\"22283264\"]\n  8 [size=\"48080896\", alpha=\"0.19\", expect_size=\"24040448\"] \n  8 -> 18 [size =\"24040448\"]\n  8 -> 19 [size =\"24040448\"]\n  8 -> 20 [size =\"24040448\"]\n  9 [size=\"90298368\", alpha=\"0.01\", expect_size=\"45149184\"] \n  9 -> 16 [size =\"45149184\"]\n  9 -> 18 [size =\"45149184\"]\n  9 -> 20 [size =\"45149184\"]\n  10 [size=\"77998080\", alpha=\"0.13\", expect_size=\"38999040\"] \n  10 -> 15 [size =\"38999040\"]\n  10 -> 18 [size =\"38999040\"]\n  10 -> 19 [size =\"38999040\"]\n  11 [size=\"103432192\", alpha=\"0.10\", expect_size=\"51716096\"] \n  11 -> 15 [size =\"51716096\"]\n  11 -> 18 [size =\"51716096\"]\n  12 [size=\"102041600\", alpha=\"0.17\", expect_size=\"51020800\"] \n  12 -> 15 [size =\"51020800\"]\n  12 -> 17 [size =\"51020800\"]\n  12 -> 18 [size =\"51020800\"]\n  13 [size=\"69042176\", alpha=\"0.02\", expect_size=\"34521088\"] \n  13 -> 15 [size =\"34521088\"]\n  14 [size=\"49414144\", alpha=\"0.14\", expect_size=\"24707072\"] \n  14 -> 16 [size =\"24707072\"]\n  14 -> 19 [size =\"24707072\"]\n  15 [size=\"49274880\", alpha=\"0.10\", expect_size=\"24637440\"] \n  16 [size=\"83410944\", alpha=\"0.16\", expect_size=\"41705472\"] \n  17 [size=\"63236096\", alpha=\"0.06\", expect_size=\"31618048\"] \n  18 [size=\"70236160\", alpha=\"0.15\", expect_size=\"35118080\"] \n  19 [size=\"63901696\", alpha=\"0.11\", expect_size=\"31950848\"] \n  20 [size=\"67076096\", alpha=\"0.12\", expect_size=\"33538048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95433387\", alpha=\"0.19\", expect_size=\"28630016\"] \n  1 -> 2 [size =\"28630016\"]\n  2 [size=\"116251307\", alpha=\"0.18\", expect_size=\"34875392\"] \n  2 -> 3 [size =\"34875392\"]\n  3 [size=\"135403520\", alpha=\"0.04\", expect_size=\"40621056\"] \n  3 -> 4 [size =\"40621056\"]\n  4 [size=\"68454400\", alpha=\"0.10\", expect_size=\"20536320\"] \n  4 -> 5 [size =\"20536320\"]\n  5 [size=\"82848427\", alpha=\"0.01\", expect_size=\"24854528\"] \n  5 -> 6 [size =\"24854528\"]\n  6 [size=\"137649493\", alpha=\"0.02\", expect_size=\"41294848\"] \n  6 -> 7 [size =\"41294848\"]\n  7 [size=\"95901013\", alpha=\"0.00\", expect_size=\"28770304\"] \n  7 -> 8 [size =\"28770304\"]\n  8 [size=\"65095680\", alpha=\"0.18\", expect_size=\"19528704\"] \n  8 -> 9 [size =\"19528704\"]\n  9 [size=\"79895893\", alpha=\"0.02\", expect_size=\"23968768\"] \n  9 -> 10 [size =\"23968768\"]\n  10 [size=\"113821013\", alpha=\"0.16\", expect_size=\"34146304\"] \n  10 -> 11 [size =\"34146304\"]\n  11 [size=\"50776747\", alpha=\"0.08\", expect_size=\"15233024\"] \n  11 -> 12 [size =\"15233024\"]\n  12 [size=\"45656747\", alpha=\"0.16\", expect_size=\"13697024\"] \n  12 -> 13 [size =\"13697024\"]\n  13 [size=\"26347520\", alpha=\"0.10\", expect_size=\"7904256\"] \n  13 -> 14 [size =\"7904256\"]\n  14 [size=\"58173440\", alpha=\"0.05\", expect_size=\"17452032\"] \n  14 -> 15 [size =\"17452032\"]\n  15 [size=\"139096747\", alpha=\"0.09\", expect_size=\"41729024\"] \n  15 -> 16 [size =\"41729024\"]\n  16 [size=\"144322560\", alpha=\"0.12\", expect_size=\"43296768\"] \n  16 -> 17 [size =\"43296768\"]\n  17 [size=\"159890773\", alpha=\"0.10\", expect_size=\"47967232\"] \n  17 -> 18 [size =\"47967232\"]\n  18 [size=\"161498453\", alpha=\"0.04\", expect_size=\"48449536\"] \n  18 -> 19 [size =\"48449536\"]\n  19 [size=\"145602560\", alpha=\"0.03\", expect_size=\"43680768\"] \n  19 -> 20 [size =\"43680768\"]\n  20 [size=\"160409600\", alpha=\"0.14\", expect_size=\"48122880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82536960\", alpha=\"0.14\", expect_size=\"33014784\"] \n  1 -> 12 [size =\"33014784\"]\n  1 -> 12 [size =\"33014784\"]\n  1 -> 16 [size =\"33014784\"]\n  1 -> 19 [size =\"33014784\"]\n  1 -> 20 [size =\"33014784\"]\n  2 [size=\"113925120\", alpha=\"0.16\", expect_size=\"45570048\"] \n  2 -> 18 [size =\"45570048\"]\n  2 -> 20 [size =\"45570048\"]\n  3 [size=\"63106560\", alpha=\"0.06\", expect_size=\"25242624\"] \n  3 -> 11 [size =\"25242624\"]\n  4 [size=\"19386880\", alpha=\"0.14\", expect_size=\"7754752\"] \n  4 -> 11 [size =\"7754752\"]\n  4 -> 12 [size =\"7754752\"]\n  4 -> 14 [size =\"7754752\"]\n  4 -> 15 [size =\"7754752\"]\n  4 -> 18 [size =\"7754752\"]\n  5 [size=\"44505600\", alpha=\"0.02\", expect_size=\"17802240\"] \n  5 -> 14 [size =\"17802240\"]\n  5 -> 16 [size =\"17802240\"]\n  5 -> 18 [size =\"17802240\"]\n  5 -> 20 [size =\"17802240\"]\n  6 [size=\"86592000\", alpha=\"0.08\", expect_size=\"34636800\"] \n  6 -> 13 [size =\"34636800\"]\n  7 [size=\"29486080\", alpha=\"0.07\", expect_size=\"11794432\"] \n  7 -> 17 [size =\"11794432\"]\n  7 -> 19 [size =\"11794432\"]\n  7 -> 20 [size =\"11794432\"]\n  8 [size=\"115584000\", alpha=\"0.17\", expect_size=\"46233600\"] \n  8 -> 11 [size =\"46233600\"]\n  8 -> 13 [size =\"46233600\"]\n  8 -> 16 [size =\"46233600\"]\n  8 -> 17 [size =\"46233600\"]\n  9 [size=\"91873280\", alpha=\"0.18\", expect_size=\"36749312\"] \n  9 -> 12 [size =\"36749312\"]\n  9 -> 13 [size =\"36749312\"]\n  9 -> 14 [size =\"36749312\"]\n  9 -> 19 [size =\"36749312\"]\n  10 [size=\"66191360\", alpha=\"0.18\", expect_size=\"26476544\"] \n  10 -> 11 [size =\"26476544\"]\n  10 -> 12 [size =\"26476544\"]\n  10 -> 14 [size =\"26476544\"]\n  10 -> 18 [size =\"26476544\"]\n  10 -> 19 [size =\"26476544\"]\n  11 [size=\"115420160\", alpha=\"0.01\", expect_size=\"46168064\"] \n  12 [size=\"81899520\", alpha=\"0.17\", expect_size=\"32759808\"] \n  13 [size=\"61094400\", alpha=\"0.08\", expect_size=\"24437760\"] \n  14 [size=\"99033600\", alpha=\"0.12\", expect_size=\"39613440\"] \n  15 [size=\"63111680\", alpha=\"0.04\", expect_size=\"25244672\"] \n  16 [size=\"72061440\", alpha=\"0.06\", expect_size=\"28824576\"] \n  17 [size=\"121454080\", alpha=\"0.10\", expect_size=\"48581632\"] \n  18 [size=\"46840320\", alpha=\"0.07\", expect_size=\"18736128\"] \n  19 [size=\"26603520\", alpha=\"0.08\", expect_size=\"10641408\"] \n  20 [size=\"130142720\", alpha=\"0.07\", expect_size=\"52057088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58616320\", alpha=\"0.06\", expect_size=\"23446528\"] \n  1 -> 4 [size =\"23446528\"]\n  2 [size=\"43768320\", alpha=\"0.09\", expect_size=\"17507328\"] \n  2 -> 3 [size =\"17507328\"]\n  3 [size=\"32476160\", alpha=\"0.05\", expect_size=\"12990464\"] \n  3 -> 5 [size =\"12990464\"]\n  3 -> 6 [size =\"12990464\"]\n  4 [size=\"48363520\", alpha=\"0.06\", expect_size=\"19345408\"] \n  5 [size=\"87360000\", alpha=\"0.16\", expect_size=\"34944000\"] \n  5 -> 7 [size =\"34944000\"]\n  5 -> 8 [size =\"34944000\"]\n  6 [size=\"85015040\", alpha=\"0.12\", expect_size=\"34006016\"] \n  7 [size=\"84433920\", alpha=\"0.07\", expect_size=\"33773568\"] \n  7 -> 9 [size =\"33773568\"]\n  8 [size=\"54832640\", alpha=\"0.03\", expect_size=\"21933056\"] \n  9 [size=\"65528320\", alpha=\"0.13\", expect_size=\"26211328\"] \n  9 -> 10 [size =\"26211328\"]\n  10 [size=\"56307200\", alpha=\"0.08\", expect_size=\"22522880\"] \n  10 -> 11 [size =\"22522880\"]\n  10 -> 12 [size =\"22522880\"]\n  11 [size=\"38656000\", alpha=\"0.08\", expect_size=\"15462400\"] \n  11 -> 13 [size =\"15462400\"]\n  12 [size=\"75322880\", alpha=\"0.19\", expect_size=\"30129152\"] \n  12 -> 14 [size =\"30129152\"]\n  13 [size=\"128793600\", alpha=\"0.09\", expect_size=\"51517440\"] \n  13 -> 15 [size =\"51517440\"]\n  13 -> 16 [size =\"51517440\"]\n  14 [size=\"41425920\", alpha=\"0.05\", expect_size=\"16570368\"] \n  15 [size=\"76044800\", alpha=\"0.11\", expect_size=\"30417920\"] \n  15 -> 17 [size =\"30417920\"]\n  15 -> 18 [size =\"30417920\"]\n  16 [size=\"53790720\", alpha=\"0.02\", expect_size=\"21516288\"] \n  17 [size=\"123589120\", alpha=\"0.16\", expect_size=\"49435648\"] \n  17 -> 20 [size =\"49435648\"]\n  18 [size=\"45719040\", alpha=\"0.04\", expect_size=\"18287616\"] \n  18 -> 19 [size =\"18287616\"]\n  19 [size=\"62464000\", alpha=\"0.18\", expect_size=\"24985600\"] \n  20 [size=\"21775360\", alpha=\"0.03\", expect_size=\"8710144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143025493\", alpha=\"0.09\", expect_size=\"42907648\"] \n  1 -> 14 [size =\"42907648\"]\n  1 -> 20 [size =\"42907648\"]\n  1 -> 20 [size =\"42907648\"]\n  2 [size=\"133365760\", alpha=\"0.10\", expect_size=\"40009728\"] \n  2 -> 14 [size =\"40009728\"]\n  2 -> 17 [size =\"40009728\"]\n  2 -> 19 [size =\"40009728\"]\n  3 [size=\"40202240\", alpha=\"0.07\", expect_size=\"12060672\"] \n  3 -> 19 [size =\"12060672\"]\n  4 [size=\"127460693\", alpha=\"0.18\", expect_size=\"38238208\"] \n  4 -> 20 [size =\"38238208\"]\n  5 [size=\"53773653\", alpha=\"0.16\", expect_size=\"16132096\"] \n  5 -> 14 [size =\"16132096\"]\n  5 -> 18 [size =\"16132096\"]\n  6 [size=\"124101973\", alpha=\"0.11\", expect_size=\"37230592\"] \n  6 -> 16 [size =\"37230592\"]\n  6 -> 18 [size =\"37230592\"]\n  6 -> 19 [size =\"37230592\"]\n  7 [size=\"84459520\", alpha=\"0.04\", expect_size=\"25337856\"] \n  7 -> 14 [size =\"25337856\"]\n  7 -> 18 [size =\"25337856\"]\n  7 -> 19 [size =\"25337856\"]\n  7 -> 20 [size =\"25337856\"]\n  8 [size=\"72594773\", alpha=\"0.05\", expect_size=\"21778432\"] \n  8 -> 14 [size =\"21778432\"]\n  8 -> 18 [size =\"21778432\"]\n  8 -> 19 [size =\"21778432\"]\n  8 -> 20 [size =\"21778432\"]\n  9 [size=\"96686080\", alpha=\"0.15\", expect_size=\"29005824\"] \n  9 -> 14 [size =\"29005824\"]\n  9 -> 17 [size =\"29005824\"]\n  9 -> 18 [size =\"29005824\"]\n  9 -> 19 [size =\"29005824\"]\n  10 [size=\"49210027\", alpha=\"0.04\", expect_size=\"14763008\"] \n  10 -> 16 [size =\"14763008\"]\n  10 -> 18 [size =\"14763008\"]\n  10 -> 19 [size =\"14763008\"]\n  11 [size=\"60084907\", alpha=\"0.03\", expect_size=\"18025472\"] \n  11 -> 15 [size =\"18025472\"]\n  11 -> 20 [size =\"18025472\"]\n  12 [size=\"131089067\", alpha=\"0.07\", expect_size=\"39326720\"] \n  12 -> 14 [size =\"39326720\"]\n  12 -> 18 [size =\"39326720\"]\n  12 -> 20 [size =\"39326720\"]\n  13 [size=\"52947627\", alpha=\"0.16\", expect_size=\"15884288\"] \n  13 -> 14 [size =\"15884288\"]\n  13 -> 17 [size =\"15884288\"]\n  13 -> 20 [size =\"15884288\"]\n  14 [size=\"109397333\", alpha=\"0.11\", expect_size=\"32819200\"] \n  15 [size=\"93982720\", alpha=\"0.10\", expect_size=\"28194816\"] \n  16 [size=\"62798507\", alpha=\"0.18\", expect_size=\"18839552\"] \n  17 [size=\"151746560\", alpha=\"0.06\", expect_size=\"45523968\"] \n  18 [size=\"22493867\", alpha=\"0.01\", expect_size=\"6748160\"] \n  19 [size=\"61057707\", alpha=\"0.18\", expect_size=\"18317312\"] \n  20 [size=\"21306027\", alpha=\"0.17\", expect_size=\"6391808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92567552\", alpha=\"0.14\", expect_size=\"46283776\"] \n  1 -> 3 [size =\"46283776\"]\n  2 [size=\"81750016\", alpha=\"0.01\", expect_size=\"40875008\"] \n  3 [size=\"13248512\", alpha=\"0.02\", expect_size=\"6624256\"] \n  3 -> 4 [size =\"6624256\"]\n  4 [size=\"78155776\", alpha=\"0.09\", expect_size=\"39077888\"] \n  4 -> 5 [size =\"39077888\"]\n  5 [size=\"83355648\", alpha=\"0.07\", expect_size=\"41677824\"] \n  5 -> 6 [size =\"41677824\"]\n  6 [size=\"25016320\", alpha=\"0.15\", expect_size=\"12508160\"] \n  6 -> 7 [size =\"12508160\"]\n  7 [size=\"63248384\", alpha=\"0.01\", expect_size=\"31624192\"] \n  7 -> 8 [size =\"31624192\"]\n  8 [size=\"80263168\", alpha=\"0.03\", expect_size=\"40131584\"] \n  8 -> 9 [size =\"40131584\"]\n  9 [size=\"57389056\", alpha=\"0.11\", expect_size=\"28694528\"] \n  9 -> 10 [size =\"28694528\"]\n  9 -> 11 [size =\"28694528\"]\n  10 [size=\"12613632\", alpha=\"0.11\", expect_size=\"6306816\"] \n  10 -> 12 [size =\"6306816\"]\n  11 [size=\"80271360\", alpha=\"0.14\", expect_size=\"40135680\"] \n  11 -> 13 [size =\"40135680\"]\n  12 [size=\"52897792\", alpha=\"0.12\", expect_size=\"26448896\"] \n  12 -> 14 [size =\"26448896\"]\n  13 [size=\"59955200\", alpha=\"0.14\", expect_size=\"29977600\"] \n  14 [size=\"69175296\", alpha=\"0.08\", expect_size=\"34587648\"] \n  14 -> 15 [size =\"34587648\"]\n  14 -> 16 [size =\"34587648\"]\n  15 [size=\"15310848\", alpha=\"0.07\", expect_size=\"7655424\"] \n  16 [size=\"47104000\", alpha=\"0.20\", expect_size=\"23552000\"] \n  16 -> 17 [size =\"23552000\"]\n  16 -> 18 [size =\"23552000\"]\n  17 [size=\"21985280\", alpha=\"0.14\", expect_size=\"10992640\"] \n  17 -> 19 [size =\"10992640\"]\n  18 [size=\"27215872\", alpha=\"0.17\", expect_size=\"13607936\"] \n  19 [size=\"41494528\", alpha=\"0.12\", expect_size=\"20747264\"] \n  19 -> 20 [size =\"20747264\"]\n  20 [size=\"91742208\", alpha=\"0.18\", expect_size=\"45871104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93478400\", alpha=\"0.15\", expect_size=\"37391360\"] \n  1 -> 6 [size =\"37391360\"]\n  1 -> 7 [size =\"37391360\"]\n  2 [size=\"59635200\", alpha=\"0.18\", expect_size=\"23854080\"] \n  2 -> 5 [size =\"23854080\"]\n  2 -> 7 [size =\"23854080\"]\n  3 [size=\"84625920\", alpha=\"0.06\", expect_size=\"33850368\"] \n  3 -> 5 [size =\"33850368\"]\n  3 -> 6 [size =\"33850368\"]\n  4 [size=\"75018240\", alpha=\"0.03\", expect_size=\"30007296\"] \n  5 [size=\"96739840\", alpha=\"0.03\", expect_size=\"38695936\"] \n  6 [size=\"70307840\", alpha=\"0.13\", expect_size=\"28123136\"] \n  7 [size=\"90606080\", alpha=\"0.03\", expect_size=\"36242432\"] \n  7 -> 8 [size =\"36242432\"]\n  7 -> 9 [size =\"36242432\"]\n  8 [size=\"85178880\", alpha=\"0.17\", expect_size=\"34071552\"] \n  8 -> 13 [size =\"34071552\"]\n  9 [size=\"72389120\", alpha=\"0.18\", expect_size=\"28955648\"] \n  9 -> 10 [size =\"28955648\"]\n  9 -> 11 [size =\"28955648\"]\n  9 -> 12 [size =\"28955648\"]\n  10 [size=\"38714880\", alpha=\"0.20\", expect_size=\"15485952\"] \n  10 -> 14 [size =\"15485952\"]\n  10 -> 15 [size =\"15485952\"]\n  10 -> 16 [size =\"15485952\"]\n  11 [size=\"58718720\", alpha=\"0.07\", expect_size=\"23487488\"] \n  11 -> 15 [size =\"23487488\"]\n  11 -> 16 [size =\"23487488\"]\n  12 [size=\"29271040\", alpha=\"0.14\", expect_size=\"11708416\"] \n  13 [size=\"16624640\", alpha=\"0.08\", expect_size=\"6649856\"] \n  14 [size=\"49763840\", alpha=\"0.03\", expect_size=\"19905536\"] \n  14 -> 18 [size =\"19905536\"]\n  15 [size=\"65367040\", alpha=\"0.07\", expect_size=\"26146816\"] \n  15 -> 19 [size =\"26146816\"]\n  16 [size=\"80348160\", alpha=\"0.14\", expect_size=\"32139264\"] \n  16 -> 17 [size =\"32139264\"]\n  16 -> 18 [size =\"32139264\"]\n  16 -> 19 [size =\"32139264\"]\n  17 [size=\"40691200\", alpha=\"0.00\", expect_size=\"16276480\"] \n  17 -> 20 [size =\"16276480\"]\n  18 [size=\"58242560\", alpha=\"0.09\", expect_size=\"23297024\"] \n  19 [size=\"42831360\", alpha=\"0.03\", expect_size=\"17132544\"] \n  19 -> 20 [size =\"17132544\"]\n  20 [size=\"28323840\", alpha=\"0.20\", expect_size=\"11329536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153060693\", alpha=\"0.08\", expect_size=\"45918208\"] \n  1 -> 2 [size =\"45918208\"]\n  2 [size=\"29876907\", alpha=\"0.13\", expect_size=\"8963072\"] \n  2 -> 3 [size =\"8963072\"]\n  3 [size=\"58924373\", alpha=\"0.06\", expect_size=\"17677312\"] \n  3 -> 4 [size =\"17677312\"]\n  4 [size=\"30948693\", alpha=\"0.18\", expect_size=\"9284608\"] \n  4 -> 5 [size =\"9284608\"]\n  5 [size=\"116988587\", alpha=\"0.06\", expect_size=\"35096576\"] \n  5 -> 6 [size =\"35096576\"]\n  6 [size=\"47008427\", alpha=\"0.14\", expect_size=\"14102528\"] \n  6 -> 7 [size =\"14102528\"]\n  7 [size=\"89927680\", alpha=\"0.02\", expect_size=\"26978304\"] \n  7 -> 8 [size =\"26978304\"]\n  8 [size=\"155265707\", alpha=\"0.06\", expect_size=\"46579712\"] \n  8 -> 9 [size =\"46579712\"]\n  9 [size=\"31429973\", alpha=\"0.10\", expect_size=\"9428992\"] \n  9 -> 10 [size =\"9428992\"]\n  10 [size=\"171724800\", alpha=\"0.01\", expect_size=\"51517440\"] \n  10 -> 11 [size =\"51517440\"]\n  11 [size=\"20411733\", alpha=\"0.16\", expect_size=\"6123520\"] \n  11 -> 12 [size =\"6123520\"]\n  12 [size=\"82961067\", alpha=\"0.19\", expect_size=\"24888320\"] \n  12 -> 13 [size =\"24888320\"]\n  13 [size=\"23992320\", alpha=\"0.20\", expect_size=\"7197696\"] \n  13 -> 14 [size =\"7197696\"]\n  14 [size=\"72516267\", alpha=\"0.12\", expect_size=\"21754880\"] \n  14 -> 15 [size =\"21754880\"]\n  15 [size=\"60009813\", alpha=\"0.17\", expect_size=\"18002944\"] \n  15 -> 16 [size =\"18002944\"]\n  16 [size=\"104021333\", alpha=\"0.03\", expect_size=\"31206400\"] \n  16 -> 17 [size =\"31206400\"]\n  17 [size=\"53220693\", alpha=\"0.09\", expect_size=\"15966208\"] \n  17 -> 18 [size =\"15966208\"]\n  18 [size=\"69512533\", alpha=\"0.08\", expect_size=\"20853760\"] \n  18 -> 19 [size =\"20853760\"]\n  19 [size=\"117845333\", alpha=\"0.11\", expect_size=\"35353600\"] \n  19 -> 20 [size =\"35353600\"]\n  20 [size=\"41943040\", alpha=\"0.19\", expect_size=\"12582912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67153920\", alpha=\"0.02\", expect_size=\"20146176\"] \n  1 -> 2 [size =\"20146176\"]\n  1 -> 3 [size =\"20146176\"]\n  2 [size=\"136110080\", alpha=\"0.18\", expect_size=\"40833024\"] \n  2 -> 4 [size =\"40833024\"]\n  3 [size=\"152743253\", alpha=\"0.07\", expect_size=\"45822976\"] \n  3 -> 4 [size =\"45822976\"]\n  4 [size=\"143407787\", alpha=\"0.02\", expect_size=\"43022336\"] \n  4 -> 5 [size =\"43022336\"]\n  4 -> 6 [size =\"43022336\"]\n  5 [size=\"108656640\", alpha=\"0.19\", expect_size=\"32596992\"] \n  5 -> 8 [size =\"32596992\"]\n  6 [size=\"94194347\", alpha=\"0.17\", expect_size=\"28258304\"] \n  6 -> 7 [size =\"28258304\"]\n  7 [size=\"145537707\", alpha=\"0.01\", expect_size=\"43661312\"] \n  7 -> 9 [size =\"43661312\"]\n  7 -> 10 [size =\"43661312\"]\n  8 [size=\"145005227\", alpha=\"0.11\", expect_size=\"43501568\"] \n  8 -> 9 [size =\"43501568\"]\n  8 -> 10 [size =\"43501568\"]\n  9 [size=\"163194880\", alpha=\"0.03\", expect_size=\"48958464\"] \n  9 -> 11 [size =\"48958464\"]\n  10 [size=\"20299093\", alpha=\"0.03\", expect_size=\"6089728\"] \n  10 -> 11 [size =\"6089728\"]\n  11 [size=\"99102720\", alpha=\"0.16\", expect_size=\"29730816\"] \n  11 -> 12 [size =\"29730816\"]\n  12 [size=\"118466560\", alpha=\"0.02\", expect_size=\"35539968\"] \n  12 -> 13 [size =\"35539968\"]\n  12 -> 14 [size =\"35539968\"]\n  13 [size=\"104267093\", alpha=\"0.12\", expect_size=\"31280128\"] \n  13 -> 15 [size =\"31280128\"]\n  14 [size=\"159252480\", alpha=\"0.09\", expect_size=\"47775744\"] \n  14 -> 15 [size =\"47775744\"]\n  15 [size=\"173274453\", alpha=\"0.12\", expect_size=\"51982336\"] \n  15 -> 16 [size =\"51982336\"]\n  16 [size=\"163700053\", alpha=\"0.17\", expect_size=\"49110016\"] \n  16 -> 17 [size =\"49110016\"]\n  16 -> 18 [size =\"49110016\"]\n  17 [size=\"139072853\", alpha=\"0.18\", expect_size=\"41721856\"] \n  17 -> 19 [size =\"41721856\"]\n  18 [size=\"149056853\", alpha=\"0.19\", expect_size=\"44717056\"] \n  18 -> 19 [size =\"44717056\"]\n  18 -> 20 [size =\"44717056\"]\n  19 [size=\"81053013\", alpha=\"0.06\", expect_size=\"24315904\"] \n  20 [size=\"105731413\", alpha=\"0.02\", expect_size=\"31719424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42158080\", alpha=\"0.14\", expect_size=\"21079040\"] \n  1 -> 4 [size =\"21079040\"]\n  1 -> 7 [size =\"21079040\"]\n  2 [size=\"34873344\", alpha=\"0.06\", expect_size=\"17436672\"] \n  2 -> 5 [size =\"17436672\"]\n  2 -> 7 [size =\"17436672\"]\n  3 [size=\"86059008\", alpha=\"0.13\", expect_size=\"43029504\"] \n  3 -> 5 [size =\"43029504\"]\n  3 -> 6 [size =\"43029504\"]\n  4 [size=\"14168064\", alpha=\"0.06\", expect_size=\"7084032\"] \n  4 -> 10 [size =\"7084032\"]\n  4 -> 11 [size =\"7084032\"]\n  5 [size=\"38060032\", alpha=\"0.03\", expect_size=\"19030016\"] \n  5 -> 8 [size =\"19030016\"]\n  5 -> 10 [size =\"19030016\"]\n  6 [size=\"100450304\", alpha=\"0.11\", expect_size=\"50225152\"] \n  6 -> 10 [size =\"50225152\"]\n  7 [size=\"14501888\", alpha=\"0.12\", expect_size=\"7250944\"] \n  7 -> 8 [size =\"7250944\"]\n  7 -> 9 [size =\"7250944\"]\n  8 [size=\"88156160\", alpha=\"0.07\", expect_size=\"44078080\"] \n  8 -> 12 [size =\"44078080\"]\n  8 -> 13 [size =\"44078080\"]\n  9 [size=\"63963136\", alpha=\"0.00\", expect_size=\"31981568\"] \n  9 -> 14 [size =\"31981568\"]\n  9 -> 15 [size =\"31981568\"]\n  10 [size=\"47267840\", alpha=\"0.06\", expect_size=\"23633920\"] \n  10 -> 15 [size =\"23633920\"]\n  11 [size=\"41887744\", alpha=\"0.15\", expect_size=\"20943872\"] \n  11 -> 15 [size =\"20943872\"]\n  12 [size=\"13268992\", alpha=\"0.14\", expect_size=\"6634496\"] \n  12 -> 17 [size =\"6634496\"]\n  13 [size=\"42983424\", alpha=\"0.02\", expect_size=\"21491712\"] \n  14 [size=\"103620608\", alpha=\"0.15\", expect_size=\"51810304\"] \n  14 -> 18 [size =\"51810304\"]\n  15 [size=\"38991872\", alpha=\"0.08\", expect_size=\"19495936\"] \n  15 -> 16 [size =\"19495936\"]\n  16 [size=\"52455424\", alpha=\"0.02\", expect_size=\"26227712\"] \n  17 [size=\"104646656\", alpha=\"0.13\", expect_size=\"52323328\"] \n  17 -> 19 [size =\"52323328\"]\n  17 -> 20 [size =\"52323328\"]\n  18 [size=\"66007040\", alpha=\"0.06\", expect_size=\"33003520\"] \n  19 [size=\"96851968\", alpha=\"0.00\", expect_size=\"48425984\"] \n  20 [size=\"99076096\", alpha=\"0.07\", expect_size=\"49538048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61941760\", alpha=\"0.12\", expect_size=\"24776704\"] \n  1 -> 9 [size =\"24776704\"]\n  1 -> 11 [size =\"24776704\"]\n  1 -> 12 [size =\"24776704\"]\n  1 -> 14 [size =\"24776704\"]\n  2 [size=\"65789440\", alpha=\"0.06\", expect_size=\"26315776\"] \n  2 -> 9 [size =\"26315776\"]\n  2 -> 11 [size =\"26315776\"]\n  2 -> 12 [size =\"26315776\"]\n  3 [size=\"47482880\", alpha=\"0.08\", expect_size=\"18993152\"] \n  3 -> 9 [size =\"18993152\"]\n  3 -> 11 [size =\"18993152\"]\n  3 -> 12 [size =\"18993152\"]\n  4 [size=\"39877120\", alpha=\"0.06\", expect_size=\"15950848\"] \n  4 -> 10 [size =\"15950848\"]\n  4 -> 12 [size =\"15950848\"]\n  4 -> 14 [size =\"15950848\"]\n  5 [size=\"24939520\", alpha=\"0.13\", expect_size=\"9975808\"] \n  5 -> 9 [size =\"9975808\"]\n  5 -> 13 [size =\"9975808\"]\n  5 -> 14 [size =\"9975808\"]\n  6 [size=\"78305280\", alpha=\"0.19\", expect_size=\"31322112\"] \n  6 -> 14 [size =\"31322112\"]\n  7 [size=\"126484480\", alpha=\"0.19\", expect_size=\"50593792\"] \n  7 -> 10 [size =\"50593792\"]\n  7 -> 13 [size =\"50593792\"]\n  8 [size=\"14909440\", alpha=\"0.13\", expect_size=\"5963776\"] \n  8 -> 12 [size =\"5963776\"]\n  9 [size=\"115146240\", alpha=\"0.18\", expect_size=\"46058496\"] \n  9 -> 16 [size =\"46058496\"]\n  9 -> 17 [size =\"46058496\"]\n  9 -> 18 [size =\"46058496\"]\n  9 -> 19 [size =\"46058496\"]\n  10 [size=\"103598080\", alpha=\"0.03\", expect_size=\"41439232\"] \n  10 -> 17 [size =\"41439232\"]\n  11 [size=\"55741440\", alpha=\"0.05\", expect_size=\"22296576\"] \n  11 -> 15 [size =\"22296576\"]\n  11 -> 18 [size =\"22296576\"]\n  11 -> 20 [size =\"22296576\"]\n  12 [size=\"129095680\", alpha=\"0.17\", expect_size=\"51638272\"] \n  12 -> 15 [size =\"51638272\"]\n  12 -> 20 [size =\"51638272\"]\n  13 [size=\"48944640\", alpha=\"0.18\", expect_size=\"19577856\"] \n  13 -> 15 [size =\"19577856\"]\n  13 -> 17 [size =\"19577856\"]\n  13 -> 20 [size =\"19577856\"]\n  14 [size=\"96325120\", alpha=\"0.17\", expect_size=\"38530048\"] \n  14 -> 16 [size =\"38530048\"]\n  14 -> 17 [size =\"38530048\"]\n  14 -> 20 [size =\"38530048\"]\n  15 [size=\"130969600\", alpha=\"0.05\", expect_size=\"52387840\"] \n  16 [size=\"91187200\", alpha=\"0.04\", expect_size=\"36474880\"] \n  17 [size=\"87191040\", alpha=\"0.14\", expect_size=\"34876416\"] \n  18 [size=\"79493120\", alpha=\"0.08\", expect_size=\"31797248\"] \n  19 [size=\"41067520\", alpha=\"0.11\", expect_size=\"16427008\"] \n  20 [size=\"26854400\", alpha=\"0.07\", expect_size=\"10741760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74288640\", alpha=\"0.09\", expect_size=\"29715456\"] \n  1 -> 2 [size =\"29715456\"]\n  2 [size=\"69237760\", alpha=\"0.14\", expect_size=\"27695104\"] \n  2 -> 3 [size =\"27695104\"]\n  2 -> 4 [size =\"27695104\"]\n  3 [size=\"72309760\", alpha=\"0.11\", expect_size=\"28923904\"] \n  3 -> 6 [size =\"28923904\"]\n  4 [size=\"84556800\", alpha=\"0.00\", expect_size=\"33822720\"] \n  4 -> 5 [size =\"33822720\"]\n  4 -> 6 [size =\"33822720\"]\n  5 [size=\"70891520\", alpha=\"0.14\", expect_size=\"28356608\"] \n  5 -> 7 [size =\"28356608\"]\n  6 [size=\"113354240\", alpha=\"0.16\", expect_size=\"45341696\"] \n  6 -> 7 [size =\"45341696\"]\n  6 -> 8 [size =\"45341696\"]\n  7 [size=\"25902080\", alpha=\"0.15\", expect_size=\"10360832\"] \n  7 -> 9 [size =\"10360832\"]\n  8 [size=\"117383680\", alpha=\"0.02\", expect_size=\"46953472\"] \n  8 -> 9 [size =\"46953472\"]\n  9 [size=\"65231360\", alpha=\"0.08\", expect_size=\"26092544\"] \n  9 -> 10 [size =\"26092544\"]\n  9 -> 11 [size =\"26092544\"]\n  10 [size=\"115714560\", alpha=\"0.01\", expect_size=\"46285824\"] \n  10 -> 12 [size =\"46285824\"]\n  10 -> 13 [size =\"46285824\"]\n  11 [size=\"68951040\", alpha=\"0.14\", expect_size=\"27580416\"] \n  11 -> 12 [size =\"27580416\"]\n  12 [size=\"123028480\", alpha=\"0.01\", expect_size=\"49211392\"] \n  13 [size=\"85135360\", alpha=\"0.06\", expect_size=\"34054144\"] \n  13 -> 14 [size =\"34054144\"]\n  14 [size=\"33454080\", alpha=\"0.12\", expect_size=\"13381632\"] \n  14 -> 15 [size =\"13381632\"]\n  15 [size=\"33676800\", alpha=\"0.12\", expect_size=\"13470720\"] \n  15 -> 16 [size =\"13470720\"]\n  16 [size=\"117918720\", alpha=\"0.12\", expect_size=\"47167488\"] \n  16 -> 17 [size =\"47167488\"]\n  16 -> 18 [size =\"47167488\"]\n  17 [size=\"94174720\", alpha=\"0.11\", expect_size=\"37669888\"] \n  17 -> 19 [size =\"37669888\"]\n  17 -> 20 [size =\"37669888\"]\n  18 [size=\"61975040\", alpha=\"0.04\", expect_size=\"24790016\"] \n  18 -> 19 [size =\"24790016\"]\n  19 [size=\"75138560\", alpha=\"0.07\", expect_size=\"30055424\"] \n  20 [size=\"124600320\", alpha=\"0.00\", expect_size=\"49840128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52662272\", alpha=\"0.11\", expect_size=\"26331136\"] \n  1 -> 2 [size =\"26331136\"]\n  2 [size=\"62920704\", alpha=\"0.09\", expect_size=\"31460352\"] \n  2 -> 3 [size =\"31460352\"]\n  3 [size=\"100290560\", alpha=\"0.01\", expect_size=\"50145280\"] \n  3 -> 4 [size =\"50145280\"]\n  4 [size=\"67942400\", alpha=\"0.11\", expect_size=\"33971200\"] \n  4 -> 5 [size =\"33971200\"]\n  5 [size=\"101398528\", alpha=\"0.19\", expect_size=\"50699264\"] \n  5 -> 6 [size =\"50699264\"]\n  6 [size=\"57100288\", alpha=\"0.05\", expect_size=\"28550144\"] \n  6 -> 7 [size =\"28550144\"]\n  7 [size=\"70004736\", alpha=\"0.17\", expect_size=\"35002368\"] \n  7 -> 8 [size =\"35002368\"]\n  8 [size=\"69558272\", alpha=\"0.15\", expect_size=\"34779136\"] \n  8 -> 9 [size =\"34779136\"]\n  9 [size=\"81956864\", alpha=\"0.13\", expect_size=\"40978432\"] \n  9 -> 10 [size =\"40978432\"]\n  10 [size=\"67778560\", alpha=\"0.14\", expect_size=\"33889280\"] \n  10 -> 11 [size =\"33889280\"]\n  11 [size=\"99678208\", alpha=\"0.08\", expect_size=\"49839104\"] \n  11 -> 12 [size =\"49839104\"]\n  12 [size=\"54929408\", alpha=\"0.17\", expect_size=\"27464704\"] \n  12 -> 13 [size =\"27464704\"]\n  13 [size=\"98846720\", alpha=\"0.10\", expect_size=\"49423360\"] \n  13 -> 14 [size =\"49423360\"]\n  14 [size=\"103985152\", alpha=\"0.01\", expect_size=\"51992576\"] \n  14 -> 15 [size =\"51992576\"]\n  15 [size=\"59914240\", alpha=\"0.03\", expect_size=\"29957120\"] \n  15 -> 16 [size =\"29957120\"]\n  16 [size=\"55420928\", alpha=\"0.11\", expect_size=\"27710464\"] \n  16 -> 17 [size =\"27710464\"]\n  17 [size=\"77754368\", alpha=\"0.08\", expect_size=\"38877184\"] \n  17 -> 18 [size =\"38877184\"]\n  18 [size=\"62566400\", alpha=\"0.04\", expect_size=\"31283200\"] \n  18 -> 19 [size =\"31283200\"]\n  19 [size=\"39106560\", alpha=\"0.13\", expect_size=\"19553280\"] \n  19 -> 20 [size =\"19553280\"]\n  20 [size=\"99166208\", alpha=\"0.09\", expect_size=\"49583104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97286827\", alpha=\"0.01\", expect_size=\"29186048\"] \n  1 -> 6 [size =\"29186048\"]\n  2 [size=\"139066027\", alpha=\"0.16\", expect_size=\"41719808\"] \n  2 -> 5 [size =\"41719808\"]\n  2 -> 7 [size =\"41719808\"]\n  2 -> 8 [size =\"41719808\"]\n  3 [size=\"130150400\", alpha=\"0.12\", expect_size=\"39045120\"] \n  4 [size=\"65583787\", alpha=\"0.08\", expect_size=\"19675136\"] \n  4 -> 5 [size =\"19675136\"]\n  4 -> 6 [size =\"19675136\"]\n  4 -> 8 [size =\"19675136\"]\n  5 [size=\"168843947\", alpha=\"0.02\", expect_size=\"50653184\"] \n  5 -> 12 [size =\"50653184\"]\n  6 [size=\"63348053\", alpha=\"0.06\", expect_size=\"19004416\"] \n  6 -> 10 [size =\"19004416\"]\n  6 -> 12 [size =\"19004416\"]\n  7 [size=\"164625067\", alpha=\"0.17\", expect_size=\"49387520\"] \n  7 -> 10 [size =\"49387520\"]\n  7 -> 11 [size =\"49387520\"]\n  7 -> 12 [size =\"49387520\"]\n  8 [size=\"98375680\", alpha=\"0.05\", expect_size=\"29512704\"] \n  8 -> 9 [size =\"29512704\"]\n  8 -> 10 [size =\"29512704\"]\n  9 [size=\"62228480\", alpha=\"0.18\", expect_size=\"18668544\"] \n  9 -> 13 [size =\"18668544\"]\n  9 -> 15 [size =\"18668544\"]\n  10 [size=\"163358720\", alpha=\"0.06\", expect_size=\"49007616\"] \n  10 -> 14 [size =\"49007616\"]\n  10 -> 15 [size =\"49007616\"]\n  11 [size=\"127624533\", alpha=\"0.11\", expect_size=\"38287360\"] \n  11 -> 14 [size =\"38287360\"]\n  12 [size=\"133239467\", alpha=\"0.01\", expect_size=\"39971840\"] \n  12 -> 16 [size =\"39971840\"]\n  13 [size=\"100782080\", alpha=\"0.06\", expect_size=\"30234624\"] \n  13 -> 17 [size =\"30234624\"]\n  13 -> 19 [size =\"30234624\"]\n  14 [size=\"38072320\", alpha=\"0.10\", expect_size=\"11421696\"] \n  15 [size=\"102877867\", alpha=\"0.13\", expect_size=\"30863360\"] \n  15 -> 19 [size =\"30863360\"]\n  16 [size=\"117131947\", alpha=\"0.02\", expect_size=\"35139584\"] \n  16 -> 18 [size =\"35139584\"]\n  16 -> 19 [size =\"35139584\"]\n  17 [size=\"163802453\", alpha=\"0.01\", expect_size=\"49140736\"] \n  18 [size=\"143329280\", alpha=\"0.05\", expect_size=\"42998784\"] \n  19 [size=\"23022933\", alpha=\"0.04\", expect_size=\"6906880\"] \n  19 -> 20 [size =\"6906880\"]\n  20 [size=\"167055360\", alpha=\"0.14\", expect_size=\"50116608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32348160\", alpha=\"0.17\", expect_size=\"16174080\"] \n  1 -> 2 [size =\"16174080\"]\n  2 [size=\"60923904\", alpha=\"0.18\", expect_size=\"30461952\"] \n  2 -> 3 [size =\"30461952\"]\n  3 [size=\"84463616\", alpha=\"0.08\", expect_size=\"42231808\"] \n  3 -> 4 [size =\"42231808\"]\n  4 [size=\"91279360\", alpha=\"0.17\", expect_size=\"45639680\"] \n  4 -> 5 [size =\"45639680\"]\n  5 [size=\"91777024\", alpha=\"0.11\", expect_size=\"45888512\"] \n  5 -> 6 [size =\"45888512\"]\n  6 [size=\"22409216\", alpha=\"0.05\", expect_size=\"11204608\"] \n  6 -> 7 [size =\"11204608\"]\n  7 [size=\"52119552\", alpha=\"0.04\", expect_size=\"26059776\"] \n  7 -> 8 [size =\"26059776\"]\n  8 [size=\"102213632\", alpha=\"0.04\", expect_size=\"51106816\"] \n  8 -> 9 [size =\"51106816\"]\n  9 [size=\"86726656\", alpha=\"0.09\", expect_size=\"43363328\"] \n  9 -> 10 [size =\"43363328\"]\n  10 [size=\"93642752\", alpha=\"0.06\", expect_size=\"46821376\"] \n  10 -> 11 [size =\"46821376\"]\n  11 [size=\"44775424\", alpha=\"0.14\", expect_size=\"22387712\"] \n  11 -> 12 [size =\"22387712\"]\n  12 [size=\"29067264\", alpha=\"0.11\", expect_size=\"14533632\"] \n  12 -> 13 [size =\"14533632\"]\n  13 [size=\"17612800\", alpha=\"0.09\", expect_size=\"8806400\"] \n  13 -> 14 [size =\"8806400\"]\n  14 [size=\"57262080\", alpha=\"0.20\", expect_size=\"28631040\"] \n  14 -> 15 [size =\"28631040\"]\n  15 [size=\"41361408\", alpha=\"0.15\", expect_size=\"20680704\"] \n  15 -> 16 [size =\"20680704\"]\n  16 [size=\"91426816\", alpha=\"0.04\", expect_size=\"45713408\"] \n  16 -> 17 [size =\"45713408\"]\n  17 [size=\"21389312\", alpha=\"0.16\", expect_size=\"10694656\"] \n  17 -> 18 [size =\"10694656\"]\n  18 [size=\"40054784\", alpha=\"0.11\", expect_size=\"20027392\"] \n  18 -> 19 [size =\"20027392\"]\n  19 [size=\"60241920\", alpha=\"0.07\", expect_size=\"30120960\"] \n  19 -> 20 [size =\"30120960\"]\n  20 [size=\"101359616\", alpha=\"0.02\", expect_size=\"50679808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157631147\", alpha=\"0.05\", expect_size=\"47289344\"] \n  1 -> 2 [size =\"47289344\"]\n  2 [size=\"63726933\", alpha=\"0.17\", expect_size=\"19118080\"] \n  2 -> 3 [size =\"19118080\"]\n  3 [size=\"131341653\", alpha=\"0.03\", expect_size=\"39402496\"] \n  3 -> 4 [size =\"39402496\"]\n  4 [size=\"18742613\", alpha=\"0.05\", expect_size=\"5622784\"] \n  4 -> 5 [size =\"5622784\"]\n  5 [size=\"71574187\", alpha=\"0.02\", expect_size=\"21472256\"] \n  5 -> 6 [size =\"21472256\"]\n  6 [size=\"93334187\", alpha=\"0.11\", expect_size=\"28000256\"] \n  6 -> 7 [size =\"28000256\"]\n  7 [size=\"158023680\", alpha=\"0.14\", expect_size=\"47407104\"] \n  7 -> 8 [size =\"47407104\"]\n  8 [size=\"167065600\", alpha=\"0.00\", expect_size=\"50119680\"] \n  8 -> 9 [size =\"50119680\"]\n  9 [size=\"158996480\", alpha=\"0.03\", expect_size=\"47698944\"] \n  9 -> 10 [size =\"47698944\"]\n  10 [size=\"150766933\", alpha=\"0.18\", expect_size=\"45230080\"] \n  10 -> 11 [size =\"45230080\"]\n  11 [size=\"43714560\", alpha=\"0.19\", expect_size=\"13114368\"] \n  11 -> 12 [size =\"13114368\"]\n  12 [size=\"83899733\", alpha=\"0.16\", expect_size=\"25169920\"] \n  12 -> 13 [size =\"25169920\"]\n  13 [size=\"61399040\", alpha=\"0.12\", expect_size=\"18419712\"] \n  13 -> 14 [size =\"18419712\"]\n  14 [size=\"81687893\", alpha=\"0.18\", expect_size=\"24506368\"] \n  14 -> 15 [size =\"24506368\"]\n  15 [size=\"122890240\", alpha=\"0.10\", expect_size=\"36867072\"] \n  15 -> 16 [size =\"36867072\"]\n  16 [size=\"139724800\", alpha=\"0.06\", expect_size=\"41917440\"] \n  16 -> 17 [size =\"41917440\"]\n  17 [size=\"71062187\", alpha=\"0.17\", expect_size=\"21318656\"] \n  17 -> 18 [size =\"21318656\"]\n  18 [size=\"20913493\", alpha=\"0.17\", expect_size=\"6274048\"] \n  18 -> 19 [size =\"6274048\"]\n  19 [size=\"22493867\", alpha=\"0.09\", expect_size=\"6748160\"] \n  19 -> 20 [size =\"6748160\"]\n  20 [size=\"48172373\", alpha=\"0.20\", expect_size=\"14451712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90067627\", alpha=\"0.10\", expect_size=\"27020288\"] \n  2 [size=\"111998293\", alpha=\"0.10\", expect_size=\"33599488\"] \n  2 -> 19 [size =\"33599488\"]\n  3 [size=\"154716160\", alpha=\"0.02\", expect_size=\"46414848\"] \n  4 [size=\"138547200\", alpha=\"0.01\", expect_size=\"41564160\"] \n  5 [size=\"105031680\", alpha=\"0.16\", expect_size=\"31509504\"] \n  5 -> 20 [size =\"31509504\"]\n  6 [size=\"18189653\", alpha=\"0.03\", expect_size=\"5456896\"] \n  6 -> 20 [size =\"5456896\"]\n  7 [size=\"101331627\", alpha=\"0.03\", expect_size=\"30399488\"] \n  7 -> 20 [size =\"30399488\"]\n  8 [size=\"101379413\", alpha=\"0.06\", expect_size=\"30413824\"] \n  8 -> 20 [size =\"30413824\"]\n  9 [size=\"118213973\", alpha=\"0.16\", expect_size=\"35464192\"] \n  9 -> 19 [size =\"35464192\"]\n  9 -> 20 [size =\"35464192\"]\n  10 [size=\"38324907\", alpha=\"0.13\", expect_size=\"11497472\"] \n  11 [size=\"142431573\", alpha=\"0.03\", expect_size=\"42729472\"] \n  12 [size=\"64768000\", alpha=\"0.16\", expect_size=\"19430400\"] \n  13 [size=\"143588693\", alpha=\"0.02\", expect_size=\"43076608\"] \n  14 [size=\"155566080\", alpha=\"0.15\", expect_size=\"46669824\"] \n  15 [size=\"163734187\", alpha=\"0.06\", expect_size=\"49120256\"] \n  16 [size=\"133922133\", alpha=\"0.09\", expect_size=\"40176640\"] \n  17 [size=\"156323840\", alpha=\"0.01\", expect_size=\"46897152\"] \n  17 -> 19 [size =\"46897152\"]\n  17 -> 20 [size =\"46897152\"]\n  18 [size=\"24241493\", alpha=\"0.18\", expect_size=\"7272448\"] \n  18 -> 19 [size =\"7272448\"]\n  18 -> 20 [size =\"7272448\"]\n  19 [size=\"73669973\", alpha=\"0.02\", expect_size=\"22100992\"] \n  20 [size=\"44127573\", alpha=\"0.12\", expect_size=\"13238272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92584960\", alpha=\"0.10\", expect_size=\"37033984\"] \n  1 -> 2 [size =\"37033984\"]\n  2 [size=\"127142400\", alpha=\"0.15\", expect_size=\"50856960\"] \n  2 -> 3 [size =\"50856960\"]\n  3 [size=\"80015360\", alpha=\"0.16\", expect_size=\"32006144\"] \n  3 -> 4 [size =\"32006144\"]\n  3 -> 5 [size =\"32006144\"]\n  4 [size=\"104558080\", alpha=\"0.12\", expect_size=\"41823232\"] \n  4 -> 6 [size =\"41823232\"]\n  5 [size=\"13217280\", alpha=\"0.05\", expect_size=\"5286912\"] \n  6 [size=\"21166080\", alpha=\"0.06\", expect_size=\"8466432\"] \n  6 -> 7 [size =\"8466432\"]\n  7 [size=\"95080960\", alpha=\"0.07\", expect_size=\"38032384\"] \n  7 -> 8 [size =\"38032384\"]\n  8 [size=\"24519680\", alpha=\"0.07\", expect_size=\"9807872\"] \n  8 -> 9 [size =\"9807872\"]\n  8 -> 10 [size =\"9807872\"]\n  9 [size=\"78553600\", alpha=\"0.19\", expect_size=\"31421440\"] \n  9 -> 12 [size =\"31421440\"]\n  10 [size=\"129994240\", alpha=\"0.19\", expect_size=\"51997696\"] \n  10 -> 11 [size =\"51997696\"]\n  11 [size=\"70312960\", alpha=\"0.10\", expect_size=\"28125184\"] \n  12 [size=\"13898240\", alpha=\"0.14\", expect_size=\"5559296\"] \n  12 -> 13 [size =\"5559296\"]\n  13 [size=\"101427200\", alpha=\"0.19\", expect_size=\"40570880\"] \n  13 -> 14 [size =\"40570880\"]\n  14 [size=\"76894720\", alpha=\"0.11\", expect_size=\"30757888\"] \n  14 -> 15 [size =\"30757888\"]\n  14 -> 16 [size =\"30757888\"]\n  15 [size=\"29903360\", alpha=\"0.06\", expect_size=\"11961344\"] \n  16 [size=\"58214400\", alpha=\"0.11\", expect_size=\"23285760\"] \n  16 -> 17 [size =\"23285760\"]\n  17 [size=\"94604800\", alpha=\"0.03\", expect_size=\"37841920\"] \n  17 -> 18 [size =\"37841920\"]\n  18 [size=\"18252800\", alpha=\"0.07\", expect_size=\"7301120\"] \n  18 -> 19 [size =\"7301120\"]\n  19 [size=\"58124800\", alpha=\"0.13\", expect_size=\"23249920\"] \n  19 -> 20 [size =\"23249920\"]\n  20 [size=\"50247680\", alpha=\"0.03\", expect_size=\"20099072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85964800\", alpha=\"0.12\", expect_size=\"34385920\"] \n  1 -> 5 [size =\"34385920\"]\n  2 [size=\"86231040\", alpha=\"0.08\", expect_size=\"34492416\"] \n  2 -> 7 [size =\"34492416\"]\n  3 [size=\"99187200\", alpha=\"0.00\", expect_size=\"39674880\"] \n  3 -> 6 [size =\"39674880\"]\n  4 [size=\"60608000\", alpha=\"0.01\", expect_size=\"24243200\"] \n  4 -> 6 [size =\"24243200\"]\n  5 [size=\"59781120\", alpha=\"0.06\", expect_size=\"23912448\"] \n  5 -> 8 [size =\"23912448\"]\n  5 -> 9 [size =\"23912448\"]\n  5 -> 10 [size =\"23912448\"]\n  5 -> 11 [size =\"23912448\"]\n  6 [size=\"111692800\", alpha=\"0.00\", expect_size=\"44677120\"] \n  6 -> 11 [size =\"44677120\"]\n  7 [size=\"40704000\", alpha=\"0.19\", expect_size=\"16281600\"] \n  8 [size=\"127813120\", alpha=\"0.17\", expect_size=\"51125248\"] \n  9 [size=\"65996800\", alpha=\"0.04\", expect_size=\"26398720\"] \n  9 -> 12 [size =\"26398720\"]\n  9 -> 13 [size =\"26398720\"]\n  9 -> 14 [size =\"26398720\"]\n  10 [size=\"27036160\", alpha=\"0.08\", expect_size=\"10814464\"] \n  10 -> 13 [size =\"10814464\"]\n  11 [size=\"24834560\", alpha=\"0.02\", expect_size=\"9933824\"] \n  11 -> 12 [size =\"9933824\"]\n  11 -> 14 [size =\"9933824\"]\n  12 [size=\"94545920\", alpha=\"0.04\", expect_size=\"37818368\"] \n  12 -> 17 [size =\"37818368\"]\n  13 [size=\"25297920\", alpha=\"0.09\", expect_size=\"10119168\"] \n  13 -> 15 [size =\"10119168\"]\n  13 -> 16 [size =\"10119168\"]\n  14 [size=\"27389440\", alpha=\"0.10\", expect_size=\"10955776\"] \n  15 [size=\"33881600\", alpha=\"0.05\", expect_size=\"13552640\"] \n  15 -> 18 [size =\"13552640\"]\n  16 [size=\"70986240\", alpha=\"0.05\", expect_size=\"28394496\"] \n  16 -> 19 [size =\"28394496\"]\n  16 -> 20 [size =\"28394496\"]\n  17 [size=\"71936000\", alpha=\"0.09\", expect_size=\"28774400\"] \n  17 -> 20 [size =\"28774400\"]\n  18 [size=\"68093440\", alpha=\"0.02\", expect_size=\"27237376\"] \n  19 [size=\"53127680\", alpha=\"0.11\", expect_size=\"21251072\"] \n  20 [size=\"74836480\", alpha=\"0.05\", expect_size=\"29934592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104552960\", alpha=\"0.12\", expect_size=\"41821184\"] \n  1 -> 17 [size =\"41821184\"]\n  1 -> 18 [size =\"41821184\"]\n  1 -> 19 [size =\"41821184\"]\n  2 [size=\"63014400\", alpha=\"0.05\", expect_size=\"25205760\"] \n  2 -> 17 [size =\"25205760\"]\n  3 [size=\"95900160\", alpha=\"0.02\", expect_size=\"38360064\"] \n  3 -> 18 [size =\"38360064\"]\n  3 -> 19 [size =\"38360064\"]\n  3 -> 20 [size =\"38360064\"]\n  4 [size=\"99983360\", alpha=\"0.07\", expect_size=\"39993344\"] \n  4 -> 18 [size =\"39993344\"]\n  5 [size=\"13137920\", alpha=\"0.08\", expect_size=\"5255168\"] \n  5 -> 14 [size =\"5255168\"]\n  5 -> 18 [size =\"5255168\"]\n  5 -> 20 [size =\"5255168\"]\n  6 [size=\"81812480\", alpha=\"0.02\", expect_size=\"32724992\"] \n  6 -> 14 [size =\"32724992\"]\n  6 -> 15 [size =\"32724992\"]\n  6 -> 18 [size =\"32724992\"]\n  6 -> 19 [size =\"32724992\"]\n  7 [size=\"126051840\", alpha=\"0.17\", expect_size=\"50420736\"] \n  7 -> 14 [size =\"50420736\"]\n  7 -> 15 [size =\"50420736\"]\n  8 [size=\"42319360\", alpha=\"0.03\", expect_size=\"16927744\"] \n  8 -> 14 [size =\"16927744\"]\n  8 -> 15 [size =\"16927744\"]\n  8 -> 17 [size =\"16927744\"]\n  8 -> 19 [size =\"16927744\"]\n  8 -> 20 [size =\"16927744\"]\n  9 [size=\"117294080\", alpha=\"0.17\", expect_size=\"46917632\"] \n  9 -> 15 [size =\"46917632\"]\n  9 -> 15 [size =\"46917632\"]\n  9 -> 16 [size =\"46917632\"]\n  9 -> 18 [size =\"46917632\"]\n  9 -> 19 [size =\"46917632\"]\n  9 -> 20 [size =\"46917632\"]\n  10 [size=\"71572480\", alpha=\"0.07\", expect_size=\"28628992\"] \n  10 -> 15 [size =\"28628992\"]\n  10 -> 19 [size =\"28628992\"]\n  10 -> 20 [size =\"28628992\"]\n  11 [size=\"28551680\", alpha=\"0.05\", expect_size=\"11420672\"] \n  11 -> 15 [size =\"11420672\"]\n  11 -> 20 [size =\"11420672\"]\n  12 [size=\"99840000\", alpha=\"0.02\", expect_size=\"39936000\"] \n  12 -> 14 [size =\"39936000\"]\n  13 [size=\"130977280\", alpha=\"0.07\", expect_size=\"52390912\"] \n  14 [size=\"27668480\", alpha=\"0.18\", expect_size=\"11067392\"] \n  15 [size=\"69222400\", alpha=\"0.14\", expect_size=\"27688960\"] \n  16 [size=\"114990080\", alpha=\"0.00\", expect_size=\"45996032\"] \n  17 [size=\"126714880\", alpha=\"0.19\", expect_size=\"50685952\"] \n  18 [size=\"110292480\", alpha=\"0.13\", expect_size=\"44116992\"] \n  19 [size=\"130493440\", alpha=\"0.10\", expect_size=\"52197376\"] \n  20 [size=\"112284160\", alpha=\"0.04\", expect_size=\"44913664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67608576\", alpha=\"0.05\", expect_size=\"33804288\"] \n  1 -> 2 [size =\"33804288\"]\n  2 [size=\"104267776\", alpha=\"0.03\", expect_size=\"52133888\"] \n  2 -> 3 [size =\"52133888\"]\n  3 [size=\"39501824\", alpha=\"0.11\", expect_size=\"19750912\"] \n  3 -> 4 [size =\"19750912\"]\n  4 [size=\"22667264\", alpha=\"0.15\", expect_size=\"11333632\"] \n  4 -> 5 [size =\"11333632\"]\n  5 [size=\"19142656\", alpha=\"0.16\", expect_size=\"9571328\"] \n  5 -> 6 [size =\"9571328\"]\n  6 [size=\"16666624\", alpha=\"0.07\", expect_size=\"8333312\"] \n  6 -> 7 [size =\"8333312\"]\n  7 [size=\"50229248\", alpha=\"0.16\", expect_size=\"25114624\"] \n  7 -> 8 [size =\"25114624\"]\n  8 [size=\"16730112\", alpha=\"0.13\", expect_size=\"8365056\"] \n  8 -> 9 [size =\"8365056\"]\n  9 [size=\"59949056\", alpha=\"0.08\", expect_size=\"29974528\"] \n  9 -> 10 [size =\"29974528\"]\n  10 [size=\"83890176\", alpha=\"0.01\", expect_size=\"41945088\"] \n  10 -> 11 [size =\"41945088\"]\n  11 [size=\"76898304\", alpha=\"0.02\", expect_size=\"38449152\"] \n  11 -> 12 [size =\"38449152\"]\n  12 [size=\"102348800\", alpha=\"0.15\", expect_size=\"51174400\"] \n  12 -> 13 [size =\"51174400\"]\n  13 [size=\"20580352\", alpha=\"0.10\", expect_size=\"10290176\"] \n  13 -> 14 [size =\"10290176\"]\n  14 [size=\"71051264\", alpha=\"0.19\", expect_size=\"35525632\"] \n  14 -> 15 [size =\"35525632\"]\n  15 [size=\"47255552\", alpha=\"0.15\", expect_size=\"23627776\"] \n  15 -> 16 [size =\"23627776\"]\n  16 [size=\"27404288\", alpha=\"0.18\", expect_size=\"13702144\"] \n  16 -> 17 [size =\"13702144\"]\n  17 [size=\"60545024\", alpha=\"0.18\", expect_size=\"30272512\"] \n  17 -> 18 [size =\"30272512\"]\n  18 [size=\"42594304\", alpha=\"0.18\", expect_size=\"21297152\"] \n  18 -> 19 [size =\"21297152\"]\n  19 [size=\"103462912\", alpha=\"0.09\", expect_size=\"51731456\"] \n  19 -> 20 [size =\"51731456\"]\n  20 [size=\"45592576\", alpha=\"0.02\", expect_size=\"22796288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95792640\", alpha=\"0.10\", expect_size=\"38317056\"] \n  2 [size=\"20764160\", alpha=\"0.14\", expect_size=\"8305664\"] \n  3 [size=\"123176960\", alpha=\"0.11\", expect_size=\"49270784\"] \n  3 -> 19 [size =\"49270784\"]\n  4 [size=\"98877440\", alpha=\"0.11\", expect_size=\"39550976\"] \n  5 [size=\"45972480\", alpha=\"0.15\", expect_size=\"18388992\"] \n  5 -> 18 [size =\"18388992\"]\n  6 [size=\"94855680\", alpha=\"0.16\", expect_size=\"37942272\"] \n  6 -> 18 [size =\"37942272\"]\n  6 -> 19 [size =\"37942272\"]\n  7 [size=\"85363200\", alpha=\"0.08\", expect_size=\"34145280\"] \n  7 -> 19 [size =\"34145280\"]\n  8 [size=\"34168320\", alpha=\"0.04\", expect_size=\"13667328\"] \n  9 [size=\"24330240\", alpha=\"0.06\", expect_size=\"9732096\"] \n  9 -> 19 [size =\"9732096\"]\n  10 [size=\"14074880\", alpha=\"0.04\", expect_size=\"5629952\"] \n  10 -> 19 [size =\"5629952\"]\n  11 [size=\"26805760\", alpha=\"0.05\", expect_size=\"10722304\"] \n  11 -> 18 [size =\"10722304\"]\n  12 [size=\"83128320\", alpha=\"0.19\", expect_size=\"33251328\"] \n  12 -> 18 [size =\"33251328\"]\n  13 [size=\"46187520\", alpha=\"0.08\", expect_size=\"18475008\"] \n  13 -> 20 [size =\"18475008\"]\n  14 [size=\"109132800\", alpha=\"0.19\", expect_size=\"43653120\"] \n  15 [size=\"58250240\", alpha=\"0.19\", expect_size=\"23300096\"] \n  15 -> 18 [size =\"23300096\"]\n  16 [size=\"28695040\", alpha=\"0.18\", expect_size=\"11478016\"] \n  17 [size=\"120962560\", alpha=\"0.19\", expect_size=\"48385024\"] \n  17 -> 19 [size =\"48385024\"]\n  18 [size=\"49431040\", alpha=\"0.09\", expect_size=\"19772416\"] \n  19 [size=\"70430720\", alpha=\"0.04\", expect_size=\"28172288\"] \n  20 [size=\"106416640\", alpha=\"0.04\", expect_size=\"42566656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55603200\", alpha=\"0.13\", expect_size=\"16680960\"] \n  1 -> 2 [size =\"16680960\"]\n  2 [size=\"131877547\", alpha=\"0.02\", expect_size=\"39563264\"] \n  2 -> 3 [size =\"39563264\"]\n  3 [size=\"130280107\", alpha=\"0.04\", expect_size=\"39084032\"] \n  3 -> 4 [size =\"39084032\"]\n  4 [size=\"134758400\", alpha=\"0.13\", expect_size=\"40427520\"] \n  4 -> 5 [size =\"40427520\"]\n  5 [size=\"101311147\", alpha=\"0.06\", expect_size=\"30393344\"] \n  5 -> 6 [size =\"30393344\"]\n  6 [size=\"76178773\", alpha=\"0.12\", expect_size=\"22853632\"] \n  6 -> 7 [size =\"22853632\"]\n  7 [size=\"145988267\", alpha=\"0.15\", expect_size=\"43796480\"] \n  7 -> 8 [size =\"43796480\"]\n  8 [size=\"92805120\", alpha=\"0.17\", expect_size=\"27841536\"] \n  8 -> 9 [size =\"27841536\"]\n  9 [size=\"102096213\", alpha=\"0.10\", expect_size=\"30628864\"] \n  9 -> 10 [size =\"30628864\"]\n  10 [size=\"120036693\", alpha=\"0.01\", expect_size=\"36011008\"] \n  10 -> 11 [size =\"36011008\"]\n  11 [size=\"80121173\", alpha=\"0.14\", expect_size=\"24036352\"] \n  11 -> 12 [size =\"24036352\"]\n  12 [size=\"28412587\", alpha=\"0.17\", expect_size=\"8523776\"] \n  12 -> 13 [size =\"8523776\"]\n  13 [size=\"42127360\", alpha=\"0.19\", expect_size=\"12638208\"] \n  13 -> 14 [size =\"12638208\"]\n  14 [size=\"75745280\", alpha=\"0.12\", expect_size=\"22723584\"] \n  14 -> 15 [size =\"22723584\"]\n  15 [size=\"19421867\", alpha=\"0.14\", expect_size=\"5826560\"] \n  15 -> 16 [size =\"5826560\"]\n  16 [size=\"70045013\", alpha=\"0.13\", expect_size=\"21013504\"] \n  16 -> 17 [size =\"21013504\"]\n  17 [size=\"164853760\", alpha=\"0.20\", expect_size=\"49456128\"] \n  17 -> 18 [size =\"49456128\"]\n  18 [size=\"121968640\", alpha=\"0.14\", expect_size=\"36590592\"] \n  18 -> 19 [size =\"36590592\"]\n  19 [size=\"100096000\", alpha=\"0.18\", expect_size=\"30028800\"] \n  19 -> 20 [size =\"30028800\"]\n  20 [size=\"24077653\", alpha=\"0.04\", expect_size=\"7223296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51699200\", alpha=\"0.15\", expect_size=\"20679680\"] \n  1 -> 8 [size =\"20679680\"]\n  1 -> 12 [size =\"20679680\"]\n  1 -> 14 [size =\"20679680\"]\n  1 -> 15 [size =\"20679680\"]\n  2 [size=\"14451200\", alpha=\"0.01\", expect_size=\"5780480\"] \n  2 -> 8 [size =\"5780480\"]\n  2 -> 11 [size =\"5780480\"]\n  2 -> 12 [size =\"5780480\"]\n  2 -> 13 [size =\"5780480\"]\n  3 [size=\"107944960\", alpha=\"0.04\", expect_size=\"43177984\"] \n  3 -> 10 [size =\"43177984\"]\n  3 -> 13 [size =\"43177984\"]\n  4 [size=\"124966400\", alpha=\"0.19\", expect_size=\"49986560\"] \n  4 -> 12 [size =\"49986560\"]\n  4 -> 13 [size =\"49986560\"]\n  4 -> 14 [size =\"49986560\"]\n  4 -> 15 [size =\"49986560\"]\n  5 [size=\"23654400\", alpha=\"0.04\", expect_size=\"9461760\"] \n  5 -> 9 [size =\"9461760\"]\n  5 -> 13 [size =\"9461760\"]\n  5 -> 14 [size =\"9461760\"]\n  6 [size=\"125557760\", alpha=\"0.18\", expect_size=\"50223104\"] \n  6 -> 14 [size =\"50223104\"]\n  6 -> 15 [size =\"50223104\"]\n  7 [size=\"105579520\", alpha=\"0.20\", expect_size=\"42231808\"] \n  7 -> 8 [size =\"42231808\"]\n  7 -> 13 [size =\"42231808\"]\n  7 -> 14 [size =\"42231808\"]\n  8 [size=\"23477760\", alpha=\"0.03\", expect_size=\"9391104\"] \n  8 -> 19 [size =\"9391104\"]\n  8 -> 20 [size =\"9391104\"]\n  9 [size=\"78796800\", alpha=\"0.18\", expect_size=\"31518720\"] \n  9 -> 18 [size =\"31518720\"]\n  9 -> 19 [size =\"31518720\"]\n  9 -> 20 [size =\"31518720\"]\n  10 [size=\"60380160\", alpha=\"0.10\", expect_size=\"24152064\"] \n  10 -> 16 [size =\"24152064\"]\n  10 -> 18 [size =\"24152064\"]\n  10 -> 20 [size =\"24152064\"]\n  11 [size=\"71590400\", alpha=\"0.15\", expect_size=\"28636160\"] \n  11 -> 16 [size =\"28636160\"]\n  11 -> 18 [size =\"28636160\"]\n  11 -> 20 [size =\"28636160\"]\n  12 [size=\"42426880\", alpha=\"0.06\", expect_size=\"16970752\"] \n  12 -> 19 [size =\"16970752\"]\n  12 -> 20 [size =\"16970752\"]\n  12 -> 20 [size =\"16970752\"]\n  13 [size=\"47221760\", alpha=\"0.19\", expect_size=\"18888704\"] \n  13 -> 19 [size =\"18888704\"]\n  14 [size=\"72583680\", alpha=\"0.03\", expect_size=\"29033472\"] \n  14 -> 16 [size =\"29033472\"]\n  14 -> 17 [size =\"29033472\"]\n  14 -> 18 [size =\"29033472\"]\n  15 [size=\"67709440\", alpha=\"0.03\", expect_size=\"27083776\"] \n  15 -> 17 [size =\"27083776\"]\n  15 -> 18 [size =\"27083776\"]\n  15 -> 19 [size =\"27083776\"]\n  16 [size=\"88803840\", alpha=\"0.04\", expect_size=\"35521536\"] \n  17 [size=\"77580800\", alpha=\"0.16\", expect_size=\"31032320\"] \n  18 [size=\"76472320\", alpha=\"0.08\", expect_size=\"30588928\"] \n  19 [size=\"95541760\", alpha=\"0.06\", expect_size=\"38216704\"] \n  20 [size=\"84093440\", alpha=\"0.08\", expect_size=\"33637376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95580160\", alpha=\"0.02\", expect_size=\"38232064\"] \n  1 -> 13 [size =\"38232064\"]\n  1 -> 16 [size =\"38232064\"]\n  1 -> 18 [size =\"38232064\"]\n  2 [size=\"35883520\", alpha=\"0.13\", expect_size=\"14353408\"] \n  2 -> 13 [size =\"14353408\"]\n  2 -> 17 [size =\"14353408\"]\n  3 [size=\"89792000\", alpha=\"0.04\", expect_size=\"35916800\"] \n  3 -> 13 [size =\"35916800\"]\n  3 -> 14 [size =\"35916800\"]\n  3 -> 17 [size =\"35916800\"]\n  3 -> 20 [size =\"35916800\"]\n  4 [size=\"76456960\", alpha=\"0.15\", expect_size=\"30582784\"] \n  4 -> 15 [size =\"30582784\"]\n  4 -> 17 [size =\"30582784\"]\n  4 -> 17 [size =\"30582784\"]\n  4 -> 18 [size =\"30582784\"]\n  4 -> 19 [size =\"30582784\"]\n  4 -> 20 [size =\"30582784\"]\n  5 [size=\"123970560\", alpha=\"0.17\", expect_size=\"49588224\"] \n  5 -> 14 [size =\"49588224\"]\n  5 -> 15 [size =\"49588224\"]\n  5 -> 16 [size =\"49588224\"]\n  6 [size=\"37276160\", alpha=\"0.18\", expect_size=\"14910464\"] \n  6 -> 13 [size =\"14910464\"]\n  6 -> 14 [size =\"14910464\"]\n  6 -> 15 [size =\"14910464\"]\n  6 -> 17 [size =\"14910464\"]\n  6 -> 20 [size =\"14910464\"]\n  7 [size=\"18603520\", alpha=\"0.10\", expect_size=\"7441408\"] \n  7 -> 13 [size =\"7441408\"]\n  7 -> 16 [size =\"7441408\"]\n  7 -> 20 [size =\"7441408\"]\n  8 [size=\"40145920\", alpha=\"0.10\", expect_size=\"16058368\"] \n  8 -> 16 [size =\"16058368\"]\n  9 [size=\"22159360\", alpha=\"0.12\", expect_size=\"8863744\"] \n  9 -> 17 [size =\"8863744\"]\n  9 -> 20 [size =\"8863744\"]\n  10 [size=\"75046400\", alpha=\"0.19\", expect_size=\"30018560\"] \n  10 -> 14 [size =\"30018560\"]\n  10 -> 15 [size =\"30018560\"]\n  10 -> 20 [size =\"30018560\"]\n  11 [size=\"127406080\", alpha=\"0.09\", expect_size=\"50962432\"] \n  11 -> 14 [size =\"50962432\"]\n  11 -> 15 [size =\"50962432\"]\n  11 -> 17 [size =\"50962432\"]\n  11 -> 19 [size =\"50962432\"]\n  11 -> 20 [size =\"50962432\"]\n  12 [size=\"19018240\", alpha=\"0.13\", expect_size=\"7607296\"] \n  12 -> 13 [size =\"7607296\"]\n  12 -> 16 [size =\"7607296\"]\n  13 [size=\"93299200\", alpha=\"0.03\", expect_size=\"37319680\"] \n  14 [size=\"117657600\", alpha=\"0.08\", expect_size=\"47063040\"] \n  15 [size=\"91010560\", alpha=\"0.18\", expect_size=\"36404224\"] \n  16 [size=\"73308160\", alpha=\"0.14\", expect_size=\"29323264\"] \n  17 [size=\"62080000\", alpha=\"0.12\", expect_size=\"24832000\"] \n  18 [size=\"120578560\", alpha=\"0.03\", expect_size=\"48231424\"] \n  19 [size=\"64007680\", alpha=\"0.12\", expect_size=\"25603072\"] \n  20 [size=\"17175040\", alpha=\"0.04\", expect_size=\"6870016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45731840\", alpha=\"0.18\", expect_size=\"22865920\"] \n  1 -> 2 [size =\"22865920\"]\n  2 [size=\"77344768\", alpha=\"0.14\", expect_size=\"38672384\"] \n  2 -> 3 [size =\"38672384\"]\n  3 [size=\"78743552\", alpha=\"0.20\", expect_size=\"39371776\"] \n  3 -> 4 [size =\"39371776\"]\n  3 -> 5 [size =\"39371776\"]\n  4 [size=\"47831040\", alpha=\"0.20\", expect_size=\"23915520\"] \n  4 -> 6 [size =\"23915520\"]\n  4 -> 7 [size =\"23915520\"]\n  5 [size=\"55076864\", alpha=\"0.06\", expect_size=\"27538432\"] \n  5 -> 6 [size =\"27538432\"]\n  5 -> 7 [size =\"27538432\"]\n  6 [size=\"36968448\", alpha=\"0.17\", expect_size=\"18484224\"] \n  6 -> 8 [size =\"18484224\"]\n  6 -> 9 [size =\"18484224\"]\n  7 [size=\"44613632\", alpha=\"0.03\", expect_size=\"22306816\"] \n  7 -> 8 [size =\"22306816\"]\n  7 -> 9 [size =\"22306816\"]\n  8 [size=\"101578752\", alpha=\"0.16\", expect_size=\"50789376\"] \n  8 -> 10 [size =\"50789376\"]\n  8 -> 11 [size =\"50789376\"]\n  9 [size=\"96931840\", alpha=\"0.11\", expect_size=\"48465920\"] \n  9 -> 10 [size =\"48465920\"]\n  9 -> 11 [size =\"48465920\"]\n  10 [size=\"15486976\", alpha=\"0.08\", expect_size=\"7743488\"] \n  10 -> 12 [size =\"7743488\"]\n  11 [size=\"67076096\", alpha=\"0.06\", expect_size=\"33538048\"] \n  11 -> 12 [size =\"33538048\"]\n  12 [size=\"59506688\", alpha=\"0.01\", expect_size=\"29753344\"] \n  12 -> 13 [size =\"29753344\"]\n  12 -> 14 [size =\"29753344\"]\n  13 [size=\"32747520\", alpha=\"0.14\", expect_size=\"16373760\"] \n  13 -> 15 [size =\"16373760\"]\n  14 [size=\"31735808\", alpha=\"0.03\", expect_size=\"15867904\"] \n  14 -> 15 [size =\"15867904\"]\n  15 [size=\"31023104\", alpha=\"0.13\", expect_size=\"15511552\"] \n  15 -> 16 [size =\"15511552\"]\n  16 [size=\"61423616\", alpha=\"0.16\", expect_size=\"30711808\"] \n  16 -> 17 [size =\"30711808\"]\n  16 -> 18 [size =\"30711808\"]\n  17 [size=\"46757888\", alpha=\"0.04\", expect_size=\"23378944\"] \n  17 -> 19 [size =\"23378944\"]\n  17 -> 20 [size =\"23378944\"]\n  18 [size=\"60524544\", alpha=\"0.11\", expect_size=\"30262272\"] \n  18 -> 19 [size =\"30262272\"]\n  18 -> 20 [size =\"30262272\"]\n  19 [size=\"39450624\", alpha=\"0.02\", expect_size=\"19725312\"] \n  20 [size=\"89753600\", alpha=\"0.18\", expect_size=\"44876800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87957504\", alpha=\"0.16\", expect_size=\"43978752\"] \n  1 -> 2 [size =\"43978752\"]\n  2 [size=\"76134400\", alpha=\"0.09\", expect_size=\"38067200\"] \n  2 -> 3 [size =\"38067200\"]\n  3 [size=\"94889984\", alpha=\"0.19\", expect_size=\"47444992\"] \n  3 -> 4 [size =\"47444992\"]\n  4 [size=\"81754112\", alpha=\"0.15\", expect_size=\"40877056\"] \n  4 -> 5 [size =\"40877056\"]\n  5 [size=\"43231232\", alpha=\"0.10\", expect_size=\"21615616\"] \n  5 -> 6 [size =\"21615616\"]\n  6 [size=\"25532416\", alpha=\"0.14\", expect_size=\"12766208\"] \n  6 -> 7 [size =\"12766208\"]\n  7 [size=\"54251520\", alpha=\"0.20\", expect_size=\"27125760\"] \n  7 -> 8 [size =\"27125760\"]\n  8 [size=\"76742656\", alpha=\"0.07\", expect_size=\"38371328\"] \n  8 -> 9 [size =\"38371328\"]\n  9 [size=\"27158528\", alpha=\"0.13\", expect_size=\"13579264\"] \n  9 -> 10 [size =\"13579264\"]\n  10 [size=\"80863232\", alpha=\"0.15\", expect_size=\"40431616\"] \n  10 -> 11 [size =\"40431616\"]\n  11 [size=\"37857280\", alpha=\"0.17\", expect_size=\"18928640\"] \n  11 -> 12 [size =\"18928640\"]\n  12 [size=\"18847744\", alpha=\"0.06\", expect_size=\"9423872\"] \n  12 -> 13 [size =\"9423872\"]\n  13 [size=\"59269120\", alpha=\"0.01\", expect_size=\"29634560\"] \n  13 -> 14 [size =\"29634560\"]\n  14 [size=\"55764992\", alpha=\"0.02\", expect_size=\"27882496\"] \n  14 -> 15 [size =\"27882496\"]\n  15 [size=\"33171456\", alpha=\"0.12\", expect_size=\"16585728\"] \n  15 -> 16 [size =\"16585728\"]\n  16 [size=\"80771072\", alpha=\"0.03\", expect_size=\"40385536\"] \n  16 -> 17 [size =\"40385536\"]\n  17 [size=\"50302976\", alpha=\"0.01\", expect_size=\"25151488\"] \n  17 -> 18 [size =\"25151488\"]\n  18 [size=\"48736256\", alpha=\"0.03\", expect_size=\"24368128\"] \n  18 -> 19 [size =\"24368128\"]\n  19 [size=\"80117760\", alpha=\"0.03\", expect_size=\"40058880\"] \n  19 -> 20 [size =\"40058880\"]\n  20 [size=\"49096704\", alpha=\"0.07\", expect_size=\"24548352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157870080\", alpha=\"0.10\", expect_size=\"47361024\"] \n  1 -> 6 [size =\"47361024\"]\n  2 [size=\"170550613\", alpha=\"0.00\", expect_size=\"51165184\"] \n  2 -> 7 [size =\"51165184\"]\n  3 [size=\"119599787\", alpha=\"0.08\", expect_size=\"35879936\"] \n  3 -> 6 [size =\"35879936\"]\n  4 [size=\"136314880\", alpha=\"0.16\", expect_size=\"40894464\"] \n  4 -> 5 [size =\"40894464\"]\n  4 -> 7 [size =\"40894464\"]\n  5 [size=\"172663467\", alpha=\"0.09\", expect_size=\"51799040\"] \n  5 -> 8 [size =\"51799040\"]\n  5 -> 9 [size =\"51799040\"]\n  5 -> 11 [size =\"51799040\"]\n  6 [size=\"128153600\", alpha=\"0.09\", expect_size=\"38446080\"] \n  6 -> 8 [size =\"38446080\"]\n  6 -> 9 [size =\"38446080\"]\n  7 [size=\"160372053\", alpha=\"0.16\", expect_size=\"48111616\"] \n  7 -> 10 [size =\"48111616\"]\n  8 [size=\"33546240\", alpha=\"0.18\", expect_size=\"10063872\"] \n  9 [size=\"65788587\", alpha=\"0.06\", expect_size=\"19736576\"] \n  9 -> 12 [size =\"19736576\"]\n  10 [size=\"146370560\", alpha=\"0.20\", expect_size=\"43911168\"] \n  10 -> 13 [size =\"43911168\"]\n  10 -> 14 [size =\"43911168\"]\n  11 [size=\"70058667\", alpha=\"0.18\", expect_size=\"21017600\"] \n  11 -> 14 [size =\"21017600\"]\n  12 [size=\"145431893\", alpha=\"0.13\", expect_size=\"43629568\"] \n  12 -> 16 [size =\"43629568\"]\n  12 -> 17 [size =\"43629568\"]\n  12 -> 18 [size =\"43629568\"]\n  13 [size=\"146032640\", alpha=\"0.05\", expect_size=\"43809792\"] \n  13 -> 15 [size =\"43809792\"]\n  13 -> 16 [size =\"43809792\"]\n  13 -> 17 [size =\"43809792\"]\n  14 [size=\"49138347\", alpha=\"0.03\", expect_size=\"14741504\"] \n  14 -> 15 [size =\"14741504\"]\n  15 [size=\"172434773\", alpha=\"0.01\", expect_size=\"51730432\"] \n  15 -> 20 [size =\"51730432\"]\n  16 [size=\"89518080\", alpha=\"0.05\", expect_size=\"26855424\"] \n  16 -> 19 [size =\"26855424\"]\n  17 [size=\"159716693\", alpha=\"0.02\", expect_size=\"47915008\"] \n  17 -> 19 [size =\"47915008\"]\n  18 [size=\"131979947\", alpha=\"0.05\", expect_size=\"39593984\"] \n  19 [size=\"115302400\", alpha=\"0.18\", expect_size=\"34590720\"] \n  20 [size=\"164563627\", alpha=\"0.19\", expect_size=\"49369088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100532907\", alpha=\"0.19\", expect_size=\"30159872\"] \n  1 -> 8 [size =\"30159872\"]\n  1 -> 9 [size =\"30159872\"]\n  1 -> 10 [size =\"30159872\"]\n  1 -> 12 [size =\"30159872\"]\n  1 -> 15 [size =\"30159872\"]\n  2 [size=\"115237547\", alpha=\"0.02\", expect_size=\"34571264\"] \n  2 -> 9 [size =\"34571264\"]\n  2 -> 9 [size =\"34571264\"]\n  2 -> 10 [size =\"34571264\"]\n  2 -> 12 [size =\"34571264\"]\n  2 -> 13 [size =\"34571264\"]\n  2 -> 15 [size =\"34571264\"]\n  3 [size=\"119842133\", alpha=\"0.07\", expect_size=\"35952640\"] \n  3 -> 8 [size =\"35952640\"]\n  3 -> 9 [size =\"35952640\"]\n  3 -> 10 [size =\"35952640\"]\n  3 -> 11 [size =\"35952640\"]\n  3 -> 13 [size =\"35952640\"]\n  3 -> 15 [size =\"35952640\"]\n  4 [size=\"168751787\", alpha=\"0.08\", expect_size=\"50625536\"] \n  4 -> 8 [size =\"50625536\"]\n  4 -> 14 [size =\"50625536\"]\n  5 [size=\"125474133\", alpha=\"0.06\", expect_size=\"37642240\"] \n  5 -> 8 [size =\"37642240\"]\n  5 -> 9 [size =\"37642240\"]\n  5 -> 11 [size =\"37642240\"]\n  5 -> 12 [size =\"37642240\"]\n  5 -> 14 [size =\"37642240\"]\n  5 -> 15 [size =\"37642240\"]\n  6 [size=\"78387200\", alpha=\"0.03\", expect_size=\"23516160\"] \n  6 -> 8 [size =\"23516160\"]\n  6 -> 9 [size =\"23516160\"]\n  6 -> 10 [size =\"23516160\"]\n  6 -> 14 [size =\"23516160\"]\n  6 -> 15 [size =\"23516160\"]\n  7 [size=\"69236053\", alpha=\"0.04\", expect_size=\"20770816\"] \n  7 -> 8 [size =\"20770816\"]\n  7 -> 9 [size =\"20770816\"]\n  7 -> 10 [size =\"20770816\"]\n  7 -> 12 [size =\"20770816\"]\n  7 -> 15 [size =\"20770816\"]\n  8 [size=\"78489600\", alpha=\"0.05\", expect_size=\"23546880\"] \n  8 -> 17 [size =\"23546880\"]\n  8 -> 19 [size =\"23546880\"]\n  9 [size=\"98826240\", alpha=\"0.01\", expect_size=\"29647872\"] \n  9 -> 16 [size =\"29647872\"]\n  9 -> 17 [size =\"29647872\"]\n  9 -> 19 [size =\"29647872\"]\n  9 -> 20 [size =\"29647872\"]\n  10 [size=\"106772480\", alpha=\"0.16\", expect_size=\"32031744\"] \n  10 -> 16 [size =\"32031744\"]\n  10 -> 17 [size =\"32031744\"]\n  10 -> 19 [size =\"32031744\"]\n  10 -> 20 [size =\"32031744\"]\n  11 [size=\"126098773\", alpha=\"0.07\", expect_size=\"37829632\"] \n  11 -> 18 [size =\"37829632\"]\n  11 -> 19 [size =\"37829632\"]\n  11 -> 20 [size =\"37829632\"]\n  12 [size=\"120227840\", alpha=\"0.17\", expect_size=\"36068352\"] \n  13 [size=\"135560533\", alpha=\"0.03\", expect_size=\"40668160\"] \n  13 -> 16 [size =\"40668160\"]\n  13 -> 18 [size =\"40668160\"]\n  14 [size=\"31167147\", alpha=\"0.06\", expect_size=\"9350144\"] \n  14 -> 16 [size =\"9350144\"]\n  14 -> 18 [size =\"9350144\"]\n  14 -> 19 [size =\"9350144\"]\n  14 -> 20 [size =\"9350144\"]\n  15 [size=\"90528427\", alpha=\"0.03\", expect_size=\"27158528\"] \n  15 -> 16 [size =\"27158528\"]\n  15 -> 18 [size =\"27158528\"]\n  16 [size=\"141578240\", alpha=\"0.07\", expect_size=\"42473472\"] \n  17 [size=\"162321067\", alpha=\"0.09\", expect_size=\"48696320\"] \n  18 [size=\"37369173\", alpha=\"0.16\", expect_size=\"11210752\"] \n  19 [size=\"78793387\", alpha=\"0.03\", expect_size=\"23638016\"] \n  20 [size=\"85964800\", alpha=\"0.15\", expect_size=\"25789440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39170560\", alpha=\"0.08\", expect_size=\"15668224\"] \n  2 [size=\"59788800\", alpha=\"0.02\", expect_size=\"23915520\"] \n  2 -> 20 [size =\"23915520\"]\n  3 [size=\"95488000\", alpha=\"0.06\", expect_size=\"38195200\"] \n  3 -> 18 [size =\"38195200\"]\n  3 -> 19 [size =\"38195200\"]\n  4 [size=\"89566720\", alpha=\"0.16\", expect_size=\"35826688\"] \n  5 [size=\"112980480\", alpha=\"0.13\", expect_size=\"45192192\"] \n  6 [size=\"111813120\", alpha=\"0.10\", expect_size=\"44725248\"] \n  7 [size=\"43486720\", alpha=\"0.00\", expect_size=\"17394688\"] \n  8 [size=\"63308800\", alpha=\"0.06\", expect_size=\"25323520\"] \n  8 -> 18 [size =\"25323520\"]\n  8 -> 19 [size =\"25323520\"]\n  8 -> 20 [size =\"25323520\"]\n  9 [size=\"31633920\", alpha=\"0.00\", expect_size=\"12653568\"] \n  9 -> 19 [size =\"12653568\"]\n  10 [size=\"30003200\", alpha=\"0.19\", expect_size=\"12001280\"] \n  11 [size=\"97387520\", alpha=\"0.03\", expect_size=\"38955008\"] \n  11 -> 18 [size =\"38955008\"]\n  12 [size=\"28687360\", alpha=\"0.19\", expect_size=\"11474944\"] \n  13 [size=\"37591040\", alpha=\"0.05\", expect_size=\"15036416\"] \n  13 -> 18 [size =\"15036416\"]\n  14 [size=\"72517120\", alpha=\"0.01\", expect_size=\"29006848\"] \n  15 [size=\"47275520\", alpha=\"0.02\", expect_size=\"18910208\"] \n  16 [size=\"125056000\", alpha=\"0.18\", expect_size=\"50022400\"] \n  16 -> 18 [size =\"50022400\"]\n  17 [size=\"67921920\", alpha=\"0.06\", expect_size=\"27168768\"] \n  17 -> 18 [size =\"27168768\"]\n  18 [size=\"69734400\", alpha=\"0.12\", expect_size=\"27893760\"] \n  19 [size=\"105530880\", alpha=\"0.00\", expect_size=\"42212352\"] \n  20 [size=\"107468800\", alpha=\"0.05\", expect_size=\"42987520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69123413\", alpha=\"0.16\", expect_size=\"20737024\"] \n  2 [size=\"149572267\", alpha=\"0.13\", expect_size=\"44871680\"] \n  2 -> 14 [size =\"44871680\"]\n  2 -> 19 [size =\"44871680\"]\n  3 [size=\"145223680\", alpha=\"0.06\", expect_size=\"43567104\"] \n  3 -> 14 [size =\"43567104\"]\n  3 -> 20 [size =\"43567104\"]\n  4 [size=\"170868053\", alpha=\"0.18\", expect_size=\"51260416\"] \n  4 -> 16 [size =\"51260416\"]\n  4 -> 17 [size =\"51260416\"]\n  5 [size=\"69949440\", alpha=\"0.00\", expect_size=\"20984832\"] \n  5 -> 14 [size =\"20984832\"]\n  5 -> 17 [size =\"20984832\"]\n  6 [size=\"154241707\", alpha=\"0.17\", expect_size=\"46272512\"] \n  6 -> 18 [size =\"46272512\"]\n  7 [size=\"160143360\", alpha=\"0.08\", expect_size=\"48043008\"] \n  7 -> 14 [size =\"48043008\"]\n  7 -> 18 [size =\"48043008\"]\n  8 [size=\"123357867\", alpha=\"0.15\", expect_size=\"37007360\"] \n  8 -> 14 [size =\"37007360\"]\n  8 -> 16 [size =\"37007360\"]\n  9 [size=\"109100373\", alpha=\"0.04\", expect_size=\"32730112\"] \n  9 -> 14 [size =\"32730112\"]\n  10 [size=\"139762347\", alpha=\"0.07\", expect_size=\"41928704\"] \n  10 -> 16 [size =\"41928704\"]\n  10 -> 19 [size =\"41928704\"]\n  11 [size=\"123723093\", alpha=\"0.03\", expect_size=\"37116928\"] \n  11 -> 16 [size =\"37116928\"]\n  11 -> 20 [size =\"37116928\"]\n  12 [size=\"90122240\", alpha=\"0.15\", expect_size=\"27036672\"] \n  12 -> 16 [size =\"27036672\"]\n  12 -> 20 [size =\"27036672\"]\n  13 [size=\"37628587\", alpha=\"0.14\", expect_size=\"11288576\"] \n  13 -> 15 [size =\"11288576\"]\n  14 [size=\"87306240\", alpha=\"0.16\", expect_size=\"26191872\"] \n  15 [size=\"70085973\", alpha=\"0.16\", expect_size=\"21025792\"] \n  16 [size=\"73813333\", alpha=\"0.19\", expect_size=\"22144000\"] \n  17 [size=\"48762880\", alpha=\"0.09\", expect_size=\"14628864\"] \n  18 [size=\"115261440\", alpha=\"0.05\", expect_size=\"34578432\"] \n  19 [size=\"78196053\", alpha=\"0.01\", expect_size=\"23458816\"] \n  20 [size=\"110349653\", alpha=\"0.01\", expect_size=\"33104896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136966827\", alpha=\"0.03\", expect_size=\"41090048\"] \n  1 -> 4 [size =\"41090048\"]\n  1 -> 5 [size =\"41090048\"]\n  2 [size=\"70765227\", alpha=\"0.17\", expect_size=\"21229568\"] \n  3 [size=\"174585173\", alpha=\"0.09\", expect_size=\"52375552\"] \n  3 -> 4 [size =\"52375552\"]\n  4 [size=\"79233707\", alpha=\"0.01\", expect_size=\"23770112\"] \n  4 -> 6 [size =\"23770112\"]\n  4 -> 7 [size =\"23770112\"]\n  4 -> 8 [size =\"23770112\"]\n  5 [size=\"44414293\", alpha=\"0.03\", expect_size=\"13324288\"] \n  5 -> 6 [size =\"13324288\"]\n  5 -> 7 [size =\"13324288\"]\n  5 -> 8 [size =\"13324288\"]\n  6 [size=\"70413653\", alpha=\"0.05\", expect_size=\"21124096\"] \n  6 -> 10 [size =\"21124096\"]\n  6 -> 12 [size =\"21124096\"]\n  7 [size=\"54067200\", alpha=\"0.14\", expect_size=\"16220160\"] \n  7 -> 11 [size =\"16220160\"]\n  7 -> 12 [size =\"16220160\"]\n  7 -> 13 [size =\"16220160\"]\n  8 [size=\"80547840\", alpha=\"0.15\", expect_size=\"24164352\"] \n  8 -> 9 [size =\"24164352\"]\n  8 -> 11 [size =\"24164352\"]\n  8 -> 13 [size =\"24164352\"]\n  9 [size=\"140806827\", alpha=\"0.04\", expect_size=\"42242048\"] \n  9 -> 14 [size =\"42242048\"]\n  10 [size=\"132447573\", alpha=\"0.09\", expect_size=\"39734272\"] \n  10 -> 14 [size =\"39734272\"]\n  10 -> 15 [size =\"39734272\"]\n  11 [size=\"20043093\", alpha=\"0.18\", expect_size=\"6012928\"] \n  11 -> 15 [size =\"6012928\"]\n  12 [size=\"44574720\", alpha=\"0.04\", expect_size=\"13372416\"] \n  12 -> 15 [size =\"13372416\"]\n  13 [size=\"23507627\", alpha=\"0.00\", expect_size=\"7052288\"] \n  13 -> 14 [size =\"7052288\"]\n  14 [size=\"92719787\", alpha=\"0.19\", expect_size=\"27815936\"] \n  14 -> 16 [size =\"27815936\"]\n  14 -> 17 [size =\"27815936\"]\n  14 -> 18 [size =\"27815936\"]\n  15 [size=\"99222187\", alpha=\"0.10\", expect_size=\"29766656\"] \n  15 -> 18 [size =\"29766656\"]\n  16 [size=\"122528427\", alpha=\"0.18\", expect_size=\"36758528\"] \n  16 -> 19 [size =\"36758528\"]\n  16 -> 20 [size =\"36758528\"]\n  17 [size=\"163082240\", alpha=\"0.08\", expect_size=\"48924672\"] \n  17 -> 19 [size =\"48924672\"]\n  18 [size=\"112872107\", alpha=\"0.17\", expect_size=\"33861632\"] \n  19 [size=\"73898667\", alpha=\"0.10\", expect_size=\"22169600\"] \n  20 [size=\"103488853\", alpha=\"0.06\", expect_size=\"31046656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59499520\", alpha=\"0.01\", expect_size=\"23799808\"] \n  2 [size=\"87795200\", alpha=\"0.11\", expect_size=\"35118080\"] \n  2 -> 3 [size =\"35118080\"]\n  2 -> 4 [size =\"35118080\"]\n  2 -> 5 [size =\"35118080\"]\n  3 [size=\"111695360\", alpha=\"0.05\", expect_size=\"44678144\"] \n  3 -> 6 [size =\"44678144\"]\n  3 -> 7 [size =\"44678144\"]\n  4 [size=\"65369600\", alpha=\"0.04\", expect_size=\"26147840\"] \n  4 -> 6 [size =\"26147840\"]\n  4 -> 8 [size =\"26147840\"]\n  5 [size=\"111091200\", alpha=\"0.15\", expect_size=\"44436480\"] \n  5 -> 7 [size =\"44436480\"]\n  6 [size=\"34816000\", alpha=\"0.18\", expect_size=\"13926400\"] \n  6 -> 11 [size =\"13926400\"]\n  6 -> 12 [size =\"13926400\"]\n  7 [size=\"65098240\", alpha=\"0.10\", expect_size=\"26039296\"] \n  7 -> 10 [size =\"26039296\"]\n  7 -> 11 [size =\"26039296\"]\n  8 [size=\"90401280\", alpha=\"0.03\", expect_size=\"36160512\"] \n  8 -> 9 [size =\"36160512\"]\n  8 -> 10 [size =\"36160512\"]\n  8 -> 12 [size =\"36160512\"]\n  9 [size=\"41502720\", alpha=\"0.12\", expect_size=\"16601088\"] \n  9 -> 15 [size =\"16601088\"]\n  9 -> 17 [size =\"16601088\"]\n  10 [size=\"77637120\", alpha=\"0.09\", expect_size=\"31054848\"] \n  10 -> 13 [size =\"31054848\"]\n  10 -> 14 [size =\"31054848\"]\n  11 [size=\"19450880\", alpha=\"0.04\", expect_size=\"7780352\"] \n  11 -> 13 [size =\"7780352\"]\n  11 -> 16 [size =\"7780352\"]\n  12 [size=\"24696320\", alpha=\"0.05\", expect_size=\"9878528\"] \n  12 -> 14 [size =\"9878528\"]\n  12 -> 15 [size =\"9878528\"]\n  12 -> 16 [size =\"9878528\"]\n  13 [size=\"89763840\", alpha=\"0.09\", expect_size=\"35905536\"] \n  13 -> 20 [size =\"35905536\"]\n  14 [size=\"120780800\", alpha=\"0.01\", expect_size=\"48312320\"] \n  14 -> 18 [size =\"48312320\"]\n  15 [size=\"29150720\", alpha=\"0.03\", expect_size=\"11660288\"] \n  15 -> 18 [size =\"11660288\"]\n  15 -> 19 [size =\"11660288\"]\n  16 [size=\"118768640\", alpha=\"0.10\", expect_size=\"47507456\"] \n  17 [size=\"109831680\", alpha=\"0.02\", expect_size=\"43932672\"] \n  17 -> 20 [size =\"43932672\"]\n  18 [size=\"53137920\", alpha=\"0.02\", expect_size=\"21255168\"] \n  19 [size=\"69913600\", alpha=\"0.05\", expect_size=\"27965440\"] \n  20 [size=\"20170240\", alpha=\"0.01\", expect_size=\"8068096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29102080\", alpha=\"0.05\", expect_size=\"14551040\"] \n  1 -> 2 [size =\"14551040\"]\n  2 [size=\"25421824\", alpha=\"0.04\", expect_size=\"12710912\"] \n  2 -> 3 [size =\"12710912\"]\n  3 [size=\"50307072\", alpha=\"0.12\", expect_size=\"25153536\"] \n  3 -> 4 [size =\"25153536\"]\n  4 [size=\"60774400\", alpha=\"0.13\", expect_size=\"30387200\"] \n  4 -> 5 [size =\"30387200\"]\n  5 [size=\"65484800\", alpha=\"0.05\", expect_size=\"32742400\"] \n  5 -> 6 [size =\"32742400\"]\n  6 [size=\"67561472\", alpha=\"0.05\", expect_size=\"33780736\"] \n  6 -> 7 [size =\"33780736\"]\n  7 [size=\"53008384\", alpha=\"0.02\", expect_size=\"26504192\"] \n  7 -> 8 [size =\"26504192\"]\n  8 [size=\"86329344\", alpha=\"0.15\", expect_size=\"43164672\"] \n  8 -> 9 [size =\"43164672\"]\n  9 [size=\"48297984\", alpha=\"0.02\", expect_size=\"24148992\"] \n  9 -> 10 [size =\"24148992\"]\n  10 [size=\"24664064\", alpha=\"0.01\", expect_size=\"12332032\"] \n  10 -> 11 [size =\"12332032\"]\n  11 [size=\"70686720\", alpha=\"0.06\", expect_size=\"35343360\"] \n  11 -> 12 [size =\"35343360\"]\n  12 [size=\"92753920\", alpha=\"0.00\", expect_size=\"46376960\"] \n  12 -> 13 [size =\"46376960\"]\n  13 [size=\"15527936\", alpha=\"0.01\", expect_size=\"7763968\"] \n  13 -> 14 [size =\"7763968\"]\n  14 [size=\"69801984\", alpha=\"0.11\", expect_size=\"34900992\"] \n  14 -> 15 [size =\"34900992\"]\n  15 [size=\"38983680\", alpha=\"0.01\", expect_size=\"19491840\"] \n  15 -> 16 [size =\"19491840\"]\n  16 [size=\"63399936\", alpha=\"0.06\", expect_size=\"31699968\"] \n  16 -> 17 [size =\"31699968\"]\n  17 [size=\"88330240\", alpha=\"0.12\", expect_size=\"44165120\"] \n  17 -> 18 [size =\"44165120\"]\n  18 [size=\"96567296\", alpha=\"0.10\", expect_size=\"48283648\"] \n  18 -> 19 [size =\"48283648\"]\n  19 [size=\"73306112\", alpha=\"0.14\", expect_size=\"36653056\"] \n  19 -> 20 [size =\"36653056\"]\n  20 [size=\"83689472\", alpha=\"0.16\", expect_size=\"41844736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36728320\", alpha=\"0.05\", expect_size=\"14691328\"] \n  1 -> 3 [size =\"14691328\"]\n  1 -> 4 [size =\"14691328\"]\n  2 [size=\"85299200\", alpha=\"0.06\", expect_size=\"34119680\"] \n  2 -> 3 [size =\"34119680\"]\n  3 [size=\"108643840\", alpha=\"0.17\", expect_size=\"43457536\"] \n  4 [size=\"29273600\", alpha=\"0.03\", expect_size=\"11709440\"] \n  4 -> 5 [size =\"11709440\"]\n  5 [size=\"88204800\", alpha=\"0.19\", expect_size=\"35281920\"] \n  5 -> 6 [size =\"35281920\"]\n  6 [size=\"102146560\", alpha=\"0.04\", expect_size=\"40858624\"] \n  6 -> 7 [size =\"40858624\"]\n  7 [size=\"80069120\", alpha=\"0.07\", expect_size=\"32027648\"] \n  7 -> 8 [size =\"32027648\"]\n  7 -> 9 [size =\"32027648\"]\n  8 [size=\"106342400\", alpha=\"0.00\", expect_size=\"42536960\"] \n  8 -> 10 [size =\"42536960\"]\n  9 [size=\"14799360\", alpha=\"0.13\", expect_size=\"5919744\"] \n  9 -> 10 [size =\"5919744\"]\n  10 [size=\"13406720\", alpha=\"0.02\", expect_size=\"5362688\"] \n  10 -> 11 [size =\"5362688\"]\n  11 [size=\"127086080\", alpha=\"0.08\", expect_size=\"50834432\"] \n  11 -> 12 [size =\"50834432\"]\n  11 -> 13 [size =\"50834432\"]\n  12 [size=\"40926720\", alpha=\"0.17\", expect_size=\"16370688\"] \n  13 [size=\"76774400\", alpha=\"0.03\", expect_size=\"30709760\"] \n  13 -> 14 [size =\"30709760\"]\n  13 -> 15 [size =\"30709760\"]\n  14 [size=\"59453440\", alpha=\"0.11\", expect_size=\"23781376\"] \n  14 -> 16 [size =\"23781376\"]\n  14 -> 17 [size =\"23781376\"]\n  15 [size=\"78609920\", alpha=\"0.08\", expect_size=\"31443968\"] \n  15 -> 16 [size =\"31443968\"]\n  16 [size=\"72335360\", alpha=\"0.12\", expect_size=\"28934144\"] \n  16 -> 18 [size =\"28934144\"]\n  17 [size=\"95669760\", alpha=\"0.12\", expect_size=\"38267904\"] \n  17 -> 18 [size =\"38267904\"]\n  18 [size=\"17966080\", alpha=\"0.01\", expect_size=\"7186432\"] \n  18 -> 19 [size =\"7186432\"]\n  18 -> 20 [size =\"7186432\"]\n  19 [size=\"18595840\", alpha=\"0.18\", expect_size=\"7438336\"] \n  20 [size=\"95255040\", alpha=\"0.13\", expect_size=\"38102016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172441600\", alpha=\"0.11\", expect_size=\"51732480\"] \n  1 -> 2 [size =\"51732480\"]\n  2 [size=\"39748267\", alpha=\"0.02\", expect_size=\"11924480\"] \n  2 -> 3 [size =\"11924480\"]\n  3 [size=\"58432853\", alpha=\"0.09\", expect_size=\"17529856\"] \n  3 -> 4 [size =\"17529856\"]\n  4 [size=\"62836053\", alpha=\"0.10\", expect_size=\"18850816\"] \n  4 -> 5 [size =\"18850816\"]\n  5 [size=\"94805333\", alpha=\"0.17\", expect_size=\"28441600\"] \n  5 -> 6 [size =\"28441600\"]\n  6 [size=\"56985600\", alpha=\"0.16\", expect_size=\"17095680\"] \n  6 -> 7 [size =\"17095680\"]\n  7 [size=\"139997867\", alpha=\"0.09\", expect_size=\"41999360\"] \n  7 -> 8 [size =\"41999360\"]\n  8 [size=\"44581547\", alpha=\"0.05\", expect_size=\"13374464\"] \n  8 -> 9 [size =\"13374464\"]\n  9 [size=\"171533653\", alpha=\"0.09\", expect_size=\"51460096\"] \n  9 -> 10 [size =\"51460096\"]\n  10 [size=\"89702400\", alpha=\"0.13\", expect_size=\"26910720\"] \n  10 -> 11 [size =\"26910720\"]\n  11 [size=\"33024000\", alpha=\"0.02\", expect_size=\"9907200\"] \n  11 -> 12 [size =\"9907200\"]\n  12 [size=\"119627093\", alpha=\"0.15\", expect_size=\"35888128\"] \n  12 -> 13 [size =\"35888128\"]\n  13 [size=\"136205653\", alpha=\"0.11\", expect_size=\"40861696\"] \n  13 -> 14 [size =\"40861696\"]\n  14 [size=\"50124800\", alpha=\"0.10\", expect_size=\"15037440\"] \n  14 -> 15 [size =\"15037440\"]\n  15 [size=\"126474240\", alpha=\"0.14\", expect_size=\"37942272\"] \n  15 -> 16 [size =\"37942272\"]\n  16 [size=\"103191893\", alpha=\"0.20\", expect_size=\"30957568\"] \n  16 -> 17 [size =\"30957568\"]\n  17 [size=\"72082773\", alpha=\"0.01\", expect_size=\"21624832\"] \n  17 -> 18 [size =\"21624832\"]\n  18 [size=\"145152000\", alpha=\"0.07\", expect_size=\"43545600\"] \n  18 -> 19 [size =\"43545600\"]\n  19 [size=\"25033387\", alpha=\"0.19\", expect_size=\"7510016\"] \n  19 -> 20 [size =\"7510016\"]\n  20 [size=\"92869973\", alpha=\"0.10\", expect_size=\"27860992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73932800\", alpha=\"0.07\", expect_size=\"36966400\"] \n  1 -> 6 [size =\"36966400\"]\n  1 -> 7 [size =\"36966400\"]\n  2 [size=\"88985600\", alpha=\"0.02\", expect_size=\"44492800\"] \n  2 -> 5 [size =\"44492800\"]\n  2 -> 6 [size =\"44492800\"]\n  3 [size=\"17532928\", alpha=\"0.05\", expect_size=\"8766464\"] \n  3 -> 5 [size =\"8766464\"]\n  3 -> 6 [size =\"8766464\"]\n  4 [size=\"21327872\", alpha=\"0.00\", expect_size=\"10663936\"] \n  4 -> 5 [size =\"10663936\"]\n  4 -> 7 [size =\"10663936\"]\n  5 [size=\"18491392\", alpha=\"0.13\", expect_size=\"9245696\"] \n  5 -> 9 [size =\"9245696\"]\n  5 -> 10 [size =\"9245696\"]\n  5 -> 11 [size =\"9245696\"]\n  6 [size=\"18001920\", alpha=\"0.08\", expect_size=\"9000960\"] \n  6 -> 8 [size =\"9000960\"]\n  7 [size=\"19177472\", alpha=\"0.04\", expect_size=\"9588736\"] \n  7 -> 8 [size =\"9588736\"]\n  7 -> 9 [size =\"9588736\"]\n  7 -> 11 [size =\"9588736\"]\n  8 [size=\"33337344\", alpha=\"0.19\", expect_size=\"16668672\"] \n  8 -> 12 [size =\"16668672\"]\n  8 -> 13 [size =\"16668672\"]\n  9 [size=\"74434560\", alpha=\"0.19\", expect_size=\"37217280\"] \n  9 -> 12 [size =\"37217280\"]\n  10 [size=\"60919808\", alpha=\"0.02\", expect_size=\"30459904\"] \n  10 -> 13 [size =\"30459904\"]\n  11 [size=\"18515968\", alpha=\"0.04\", expect_size=\"9257984\"] \n  11 -> 14 [size =\"9257984\"]\n  12 [size=\"53477376\", alpha=\"0.13\", expect_size=\"26738688\"] \n  12 -> 15 [size =\"26738688\"]\n  12 -> 17 [size =\"26738688\"]\n  13 [size=\"62783488\", alpha=\"0.01\", expect_size=\"31391744\"] \n  14 [size=\"86874112\", alpha=\"0.18\", expect_size=\"43437056\"] \n  14 -> 15 [size =\"43437056\"]\n  14 -> 16 [size =\"43437056\"]\n  15 [size=\"88700928\", alpha=\"0.07\", expect_size=\"44350464\"] \n  15 -> 18 [size =\"44350464\"]\n  15 -> 19 [size =\"44350464\"]\n  15 -> 20 [size =\"44350464\"]\n  16 [size=\"54693888\", alpha=\"0.17\", expect_size=\"27346944\"] \n  16 -> 18 [size =\"27346944\"]\n  17 [size=\"92022784\", alpha=\"0.18\", expect_size=\"46011392\"] \n  18 [size=\"15960064\", alpha=\"0.11\", expect_size=\"7980032\"] \n  19 [size=\"103987200\", alpha=\"0.19\", expect_size=\"51993600\"] \n  20 [size=\"100698112\", alpha=\"0.07\", expect_size=\"50349056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89678507\", alpha=\"0.20\", expect_size=\"26903552\"] \n  1 -> 14 [size =\"26903552\"]\n  1 -> 17 [size =\"26903552\"]\n  1 -> 19 [size =\"26903552\"]\n  2 [size=\"172974080\", alpha=\"0.04\", expect_size=\"51892224\"] \n  2 -> 14 [size =\"51892224\"]\n  2 -> 15 [size =\"51892224\"]\n  2 -> 17 [size =\"51892224\"]\n  3 [size=\"92511573\", alpha=\"0.09\", expect_size=\"27753472\"] \n  3 -> 17 [size =\"27753472\"]\n  4 [size=\"161723733\", alpha=\"0.00\", expect_size=\"48517120\"] \n  4 -> 15 [size =\"48517120\"]\n  4 -> 16 [size =\"48517120\"]\n  4 -> 19 [size =\"48517120\"]\n  5 [size=\"53985280\", alpha=\"0.04\", expect_size=\"16195584\"] \n  5 -> 15 [size =\"16195584\"]\n  5 -> 18 [size =\"16195584\"]\n  6 [size=\"102440960\", alpha=\"0.06\", expect_size=\"30732288\"] \n  6 -> 14 [size =\"30732288\"]\n  6 -> 15 [size =\"30732288\"]\n  6 -> 17 [size =\"30732288\"]\n  6 -> 18 [size =\"30732288\"]\n  7 [size=\"139383467\", alpha=\"0.17\", expect_size=\"41815040\"] \n  7 -> 15 [size =\"41815040\"]\n  7 -> 20 [size =\"41815040\"]\n  8 [size=\"116019200\", alpha=\"0.00\", expect_size=\"34805760\"] \n  8 -> 20 [size =\"34805760\"]\n  9 [size=\"33184427\", alpha=\"0.16\", expect_size=\"9955328\"] \n  10 [size=\"103021227\", alpha=\"0.05\", expect_size=\"30906368\"] \n  10 -> 17 [size =\"30906368\"]\n  11 [size=\"80220160\", alpha=\"0.08\", expect_size=\"24066048\"] \n  11 -> 17 [size =\"24066048\"]\n  12 [size=\"79387307\", alpha=\"0.06\", expect_size=\"23816192\"] \n  12 -> 14 [size =\"23816192\"]\n  12 -> 15 [size =\"23816192\"]\n  12 -> 17 [size =\"23816192\"]\n  13 [size=\"111851520\", alpha=\"0.16\", expect_size=\"33555456\"] \n  13 -> 20 [size =\"33555456\"]\n  14 [size=\"22050133\", alpha=\"0.03\", expect_size=\"6615040\"] \n  15 [size=\"23801173\", alpha=\"0.14\", expect_size=\"7140352\"] \n  16 [size=\"55572480\", alpha=\"0.13\", expect_size=\"16671744\"] \n  17 [size=\"99833173\", alpha=\"0.17\", expect_size=\"29949952\"] \n  18 [size=\"76957013\", alpha=\"0.18\", expect_size=\"23087104\"] \n  19 [size=\"79032320\", alpha=\"0.00\", expect_size=\"23709696\"] \n  20 [size=\"49274880\", alpha=\"0.08\", expect_size=\"14782464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140827307\", alpha=\"0.09\", expect_size=\"42248192\"] \n  1 -> 13 [size =\"42248192\"]\n  2 [size=\"113872213\", alpha=\"0.12\", expect_size=\"34161664\"] \n  2 -> 10 [size =\"34161664\"]\n  2 -> 14 [size =\"34161664\"]\n  2 -> 15 [size =\"34161664\"]\n  2 -> 17 [size =\"34161664\"]\n  2 -> 18 [size =\"34161664\"]\n  3 [size=\"43636053\", alpha=\"0.15\", expect_size=\"13090816\"] \n  3 -> 10 [size =\"13090816\"]\n  3 -> 11 [size =\"13090816\"]\n  3 -> 14 [size =\"13090816\"]\n  3 -> 16 [size =\"13090816\"]\n  3 -> 17 [size =\"13090816\"]\n  4 [size=\"123627520\", alpha=\"0.14\", expect_size=\"37088256\"] \n  4 -> 10 [size =\"37088256\"]\n  4 -> 11 [size =\"37088256\"]\n  4 -> 14 [size =\"37088256\"]\n  4 -> 16 [size =\"37088256\"]\n  4 -> 18 [size =\"37088256\"]\n  5 [size=\"166481920\", alpha=\"0.11\", expect_size=\"49944576\"] \n  5 -> 12 [size =\"49944576\"]\n  5 -> 18 [size =\"49944576\"]\n  6 [size=\"72594773\", alpha=\"0.08\", expect_size=\"21778432\"] \n  6 -> 10 [size =\"21778432\"]\n  6 -> 13 [size =\"21778432\"]\n  6 -> 16 [size =\"21778432\"]\n  6 -> 18 [size =\"21778432\"]\n  7 [size=\"62730240\", alpha=\"0.07\", expect_size=\"18819072\"] \n  7 -> 10 [size =\"18819072\"]\n  7 -> 15 [size =\"18819072\"]\n  8 [size=\"174697813\", alpha=\"0.10\", expect_size=\"52409344\"] \n  8 -> 14 [size =\"52409344\"]\n  8 -> 16 [size =\"52409344\"]\n  9 [size=\"97781760\", alpha=\"0.03\", expect_size=\"29334528\"] \n  9 -> 13 [size =\"29334528\"]\n  9 -> 15 [size =\"29334528\"]\n  9 -> 16 [size =\"29334528\"]\n  10 [size=\"115735893\", alpha=\"0.17\", expect_size=\"34720768\"] \n  10 -> 19 [size =\"34720768\"]\n  11 [size=\"125637973\", alpha=\"0.04\", expect_size=\"37691392\"] \n  11 -> 19 [size =\"37691392\"]\n  12 [size=\"35741013\", alpha=\"0.20\", expect_size=\"10722304\"] \n  12 -> 20 [size =\"10722304\"]\n  13 [size=\"127849813\", alpha=\"0.09\", expect_size=\"38354944\"] \n  13 -> 20 [size =\"38354944\"]\n  14 [size=\"86609920\", alpha=\"0.11\", expect_size=\"25982976\"] \n  15 [size=\"41219413\", alpha=\"0.02\", expect_size=\"12365824\"] \n  16 [size=\"129908053\", alpha=\"0.04\", expect_size=\"38972416\"] \n  16 -> 19 [size =\"38972416\"]\n  17 [size=\"37710507\", alpha=\"0.20\", expect_size=\"11313152\"] \n  18 [size=\"94583467\", alpha=\"0.19\", expect_size=\"28375040\"] \n  18 -> 20 [size =\"28375040\"]\n  19 [size=\"17643520\", alpha=\"0.09\", expect_size=\"5293056\"] \n  20 [size=\"43035307\", alpha=\"0.12\", expect_size=\"12910592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98480128\", alpha=\"0.15\", expect_size=\"49240064\"] \n  1 -> 2 [size =\"49240064\"]\n  2 [size=\"98635776\", alpha=\"0.18\", expect_size=\"49317888\"] \n  2 -> 3 [size =\"49317888\"]\n  3 [size=\"26783744\", alpha=\"0.19\", expect_size=\"13391872\"] \n  3 -> 4 [size =\"13391872\"]\n  4 [size=\"99121152\", alpha=\"0.18\", expect_size=\"49560576\"] \n  4 -> 5 [size =\"49560576\"]\n  5 [size=\"28602368\", alpha=\"0.17\", expect_size=\"14301184\"] \n  5 -> 6 [size =\"14301184\"]\n  5 -> 7 [size =\"14301184\"]\n  6 [size=\"66260992\", alpha=\"0.01\", expect_size=\"33130496\"] \n  6 -> 8 [size =\"33130496\"]\n  7 [size=\"12150784\", alpha=\"0.18\", expect_size=\"6075392\"] \n  7 -> 8 [size =\"6075392\"]\n  8 [size=\"43991040\", alpha=\"0.12\", expect_size=\"21995520\"] \n  8 -> 9 [size =\"21995520\"]\n  9 [size=\"28758016\", alpha=\"0.13\", expect_size=\"14379008\"] \n  9 -> 10 [size =\"14379008\"]\n  9 -> 11 [size =\"14379008\"]\n  10 [size=\"74141696\", alpha=\"0.17\", expect_size=\"37070848\"] \n  10 -> 12 [size =\"37070848\"]\n  10 -> 13 [size =\"37070848\"]\n  11 [size=\"14745600\", alpha=\"0.09\", expect_size=\"7372800\"] \n  11 -> 12 [size =\"7372800\"]\n  12 [size=\"84738048\", alpha=\"0.11\", expect_size=\"42369024\"] \n  12 -> 14 [size =\"42369024\"]\n  13 [size=\"75479040\", alpha=\"0.13\", expect_size=\"37739520\"] \n  13 -> 14 [size =\"37739520\"]\n  14 [size=\"72232960\", alpha=\"0.12\", expect_size=\"36116480\"] \n  14 -> 15 [size =\"36116480\"]\n  15 [size=\"63709184\", alpha=\"0.18\", expect_size=\"31854592\"] \n  15 -> 16 [size =\"31854592\"]\n  16 [size=\"51105792\", alpha=\"0.04\", expect_size=\"25552896\"] \n  16 -> 17 [size =\"25552896\"]\n  16 -> 18 [size =\"25552896\"]\n  17 [size=\"54554624\", alpha=\"0.15\", expect_size=\"27277312\"] \n  18 [size=\"45955072\", alpha=\"0.13\", expect_size=\"22977536\"] \n  18 -> 19 [size =\"22977536\"]\n  19 [size=\"103356416\", alpha=\"0.01\", expect_size=\"51678208\"] \n  19 -> 20 [size =\"51678208\"]\n  20 [size=\"72517632\", alpha=\"0.04\", expect_size=\"36258816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63330304\", alpha=\"0.16\", expect_size=\"31665152\"] \n  1 -> 4 [size =\"31665152\"]\n  1 -> 5 [size =\"31665152\"]\n  1 -> 6 [size =\"31665152\"]\n  1 -> 7 [size =\"31665152\"]\n  2 [size=\"58482688\", alpha=\"0.08\", expect_size=\"29241344\"] \n  2 -> 7 [size =\"29241344\"]\n  3 [size=\"84514816\", alpha=\"0.04\", expect_size=\"42257408\"] \n  3 -> 5 [size =\"42257408\"]\n  3 -> 6 [size =\"42257408\"]\n  3 -> 7 [size =\"42257408\"]\n  4 [size=\"37957632\", alpha=\"0.03\", expect_size=\"18978816\"] \n  4 -> 8 [size =\"18978816\"]\n  4 -> 9 [size =\"18978816\"]\n  4 -> 10 [size =\"18978816\"]\n  4 -> 11 [size =\"18978816\"]\n  5 [size=\"22738944\", alpha=\"0.04\", expect_size=\"11369472\"] \n  5 -> 8 [size =\"11369472\"]\n  5 -> 10 [size =\"11369472\"]\n  5 -> 11 [size =\"11369472\"]\n  6 [size=\"58871808\", alpha=\"0.07\", expect_size=\"29435904\"] \n  6 -> 8 [size =\"29435904\"]\n  6 -> 9 [size =\"29435904\"]\n  6 -> 11 [size =\"29435904\"]\n  7 [size=\"50870272\", alpha=\"0.07\", expect_size=\"25435136\"] \n  7 -> 8 [size =\"25435136\"]\n  7 -> 9 [size =\"25435136\"]\n  7 -> 10 [size =\"25435136\"]\n  7 -> 11 [size =\"25435136\"]\n  8 [size=\"86439936\", alpha=\"0.09\", expect_size=\"43219968\"] \n  8 -> 12 [size =\"43219968\"]\n  8 -> 13 [size =\"43219968\"]\n  8 -> 14 [size =\"43219968\"]\n  8 -> 15 [size =\"43219968\"]\n  9 [size=\"20285440\", alpha=\"0.05\", expect_size=\"10142720\"] \n  9 -> 12 [size =\"10142720\"]\n  9 -> 13 [size =\"10142720\"]\n  9 -> 14 [size =\"10142720\"]\n  9 -> 15 [size =\"10142720\"]\n  10 [size=\"93595648\", alpha=\"0.17\", expect_size=\"46797824\"] \n  10 -> 12 [size =\"46797824\"]\n  10 -> 13 [size =\"46797824\"]\n  10 -> 15 [size =\"46797824\"]\n  11 [size=\"29026304\", alpha=\"0.17\", expect_size=\"14513152\"] \n  11 -> 12 [size =\"14513152\"]\n  11 -> 13 [size =\"14513152\"]\n  11 -> 15 [size =\"14513152\"]\n  12 [size=\"11339776\", alpha=\"0.07\", expect_size=\"5669888\"] \n  12 -> 18 [size =\"5669888\"]\n  13 [size=\"48289792\", alpha=\"0.13\", expect_size=\"24144896\"] \n  13 -> 16 [size =\"24144896\"]\n  13 -> 17 [size =\"24144896\"]\n  13 -> 18 [size =\"24144896\"]\n  13 -> 19 [size =\"24144896\"]\n  14 [size=\"65785856\", alpha=\"0.09\", expect_size=\"32892928\"] \n  14 -> 17 [size =\"32892928\"]\n  15 [size=\"78067712\", alpha=\"0.15\", expect_size=\"39033856\"] \n  15 -> 17 [size =\"39033856\"]\n  15 -> 18 [size =\"39033856\"]\n  16 [size=\"98306048\", alpha=\"0.16\", expect_size=\"49153024\"] \n  16 -> 20 [size =\"49153024\"]\n  17 [size=\"37867520\", alpha=\"0.14\", expect_size=\"18933760\"] \n  18 [size=\"72419328\", alpha=\"0.02\", expect_size=\"36209664\"] \n  18 -> 20 [size =\"36209664\"]\n  19 [size=\"19218432\", alpha=\"0.12\", expect_size=\"9609216\"] \n  19 -> 20 [size =\"9609216\"]\n  20 [size=\"44869632\", alpha=\"0.13\", expect_size=\"22434816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128416427\", alpha=\"0.05\", expect_size=\"38524928\"] \n  1 -> 8 [size =\"38524928\"]\n  1 -> 9 [size =\"38524928\"]\n  1 -> 10 [size =\"38524928\"]\n  1 -> 12 [size =\"38524928\"]\n  1 -> 13 [size =\"38524928\"]\n  2 [size=\"61436587\", alpha=\"0.18\", expect_size=\"18430976\"] \n  2 -> 8 [size =\"18430976\"]\n  2 -> 9 [size =\"18430976\"]\n  2 -> 12 [size =\"18430976\"]\n  3 [size=\"44994560\", alpha=\"0.04\", expect_size=\"13498368\"] \n  3 -> 8 [size =\"13498368\"]\n  3 -> 9 [size =\"13498368\"]\n  3 -> 10 [size =\"13498368\"]\n  3 -> 12 [size =\"13498368\"]\n  4 [size=\"30607360\", alpha=\"0.13\", expect_size=\"9182208\"] \n  4 -> 10 [size =\"9182208\"]\n  5 [size=\"49892693\", alpha=\"0.03\", expect_size=\"14967808\"] \n  6 [size=\"19234133\", alpha=\"0.17\", expect_size=\"5770240\"] \n  6 -> 10 [size =\"5770240\"]\n  6 -> 12 [size =\"5770240\"]\n  7 [size=\"35573760\", alpha=\"0.02\", expect_size=\"10672128\"] \n  7 -> 10 [size =\"10672128\"]\n  7 -> 11 [size =\"10672128\"]\n  8 [size=\"77202773\", alpha=\"0.15\", expect_size=\"23160832\"] \n  8 -> 14 [size =\"23160832\"]\n  8 -> 17 [size =\"23160832\"]\n  8 -> 20 [size =\"23160832\"]\n  9 [size=\"125508267\", alpha=\"0.01\", expect_size=\"37652480\"] \n  9 -> 15 [size =\"37652480\"]\n  9 -> 17 [size =\"37652480\"]\n  9 -> 20 [size =\"37652480\"]\n  10 [size=\"147227307\", alpha=\"0.04\", expect_size=\"44168192\"] \n  10 -> 16 [size =\"44168192\"]\n  10 -> 19 [size =\"44168192\"]\n  10 -> 20 [size =\"44168192\"]\n  11 [size=\"49653760\", alpha=\"0.14\", expect_size=\"14896128\"] \n  11 -> 17 [size =\"14896128\"]\n  12 [size=\"89668267\", alpha=\"0.05\", expect_size=\"26900480\"] \n  12 -> 15 [size =\"26900480\"]\n  12 -> 18 [size =\"26900480\"]\n  12 -> 20 [size =\"26900480\"]\n  13 [size=\"77073067\", alpha=\"0.05\", expect_size=\"23121920\"] \n  13 -> 15 [size =\"23121920\"]\n  14 [size=\"110243840\", alpha=\"0.13\", expect_size=\"33073152\"] \n  15 [size=\"57275733\", alpha=\"0.17\", expect_size=\"17182720\"] \n  16 [size=\"81216853\", alpha=\"0.18\", expect_size=\"24365056\"] \n  17 [size=\"57845760\", alpha=\"0.18\", expect_size=\"17353728\"] \n  18 [size=\"72389973\", alpha=\"0.05\", expect_size=\"21716992\"] \n  19 [size=\"36918613\", alpha=\"0.16\", expect_size=\"11075584\"] \n  20 [size=\"44871680\", alpha=\"0.14\", expect_size=\"13461504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36134400\", alpha=\"0.13\", expect_size=\"14453760\"] \n  1 -> 5 [size =\"14453760\"]\n  1 -> 8 [size =\"14453760\"]\n  1 -> 9 [size =\"14453760\"]\n  2 [size=\"16627200\", alpha=\"0.00\", expect_size=\"6650880\"] \n  3 [size=\"76029440\", alpha=\"0.01\", expect_size=\"30411776\"] \n  3 -> 5 [size =\"30411776\"]\n  3 -> 7 [size =\"30411776\"]\n  4 [size=\"30195200\", alpha=\"0.00\", expect_size=\"12078080\"] \n  4 -> 6 [size =\"12078080\"]\n  4 -> 8 [size =\"12078080\"]\n  5 [size=\"34196480\", alpha=\"0.08\", expect_size=\"13678592\"] \n  6 [size=\"71347200\", alpha=\"0.18\", expect_size=\"28538880\"] \n  6 -> 12 [size =\"28538880\"]\n  6 -> 13 [size =\"28538880\"]\n  6 -> 14 [size =\"28538880\"]\n  7 [size=\"111224320\", alpha=\"0.16\", expect_size=\"44489728\"] \n  7 -> 10 [size =\"44489728\"]\n  7 -> 12 [size =\"44489728\"]\n  7 -> 14 [size =\"44489728\"]\n  8 [size=\"35563520\", alpha=\"0.05\", expect_size=\"14225408\"] \n  9 [size=\"92587520\", alpha=\"0.16\", expect_size=\"37035008\"] \n  9 -> 10 [size =\"37035008\"]\n  9 -> 11 [size =\"37035008\"]\n  10 [size=\"90731520\", alpha=\"0.03\", expect_size=\"36292608\"] \n  10 -> 15 [size =\"36292608\"]\n  10 -> 16 [size =\"36292608\"]\n  10 -> 17 [size =\"36292608\"]\n  11 [size=\"71075840\", alpha=\"0.13\", expect_size=\"28430336\"] \n  11 -> 15 [size =\"28430336\"]\n  12 [size=\"30369280\", alpha=\"0.19\", expect_size=\"12147712\"] \n  13 [size=\"32957440\", alpha=\"0.17\", expect_size=\"13182976\"] \n  13 -> 16 [size =\"13182976\"]\n  14 [size=\"36160000\", alpha=\"0.20\", expect_size=\"14464000\"] \n  14 -> 16 [size =\"14464000\"]\n  14 -> 17 [size =\"14464000\"]\n  15 [size=\"38103040\", alpha=\"0.18\", expect_size=\"15241216\"] \n  15 -> 18 [size =\"15241216\"]\n  16 [size=\"85114880\", alpha=\"0.12\", expect_size=\"34045952\"] \n  16 -> 20 [size =\"34045952\"]\n  17 [size=\"71178240\", alpha=\"0.19\", expect_size=\"28471296\"] \n  17 -> 19 [size =\"28471296\"]\n  18 [size=\"48284160\", alpha=\"0.00\", expect_size=\"19313664\"] \n  19 [size=\"76167680\", alpha=\"0.11\", expect_size=\"30467072\"] \n  20 [size=\"50636800\", alpha=\"0.02\", expect_size=\"20254720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50624000\", alpha=\"0.11\", expect_size=\"20249600\"] \n  1 -> 5 [size =\"20249600\"]\n  1 -> 6 [size =\"20249600\"]\n  2 [size=\"36380160\", alpha=\"0.18\", expect_size=\"14552064\"] \n  2 -> 6 [size =\"14552064\"]\n  3 [size=\"105336320\", alpha=\"0.20\", expect_size=\"42134528\"] \n  4 [size=\"59248640\", alpha=\"0.04\", expect_size=\"23699456\"] \n  4 -> 6 [size =\"23699456\"]\n  5 [size=\"107668480\", alpha=\"0.18\", expect_size=\"43067392\"] \n  5 -> 7 [size =\"43067392\"]\n  5 -> 8 [size =\"43067392\"]\n  5 -> 9 [size =\"43067392\"]\n  6 [size=\"105920000\", alpha=\"0.05\", expect_size=\"42368000\"] \n  6 -> 8 [size =\"42368000\"]\n  6 -> 9 [size =\"42368000\"]\n  7 [size=\"104128000\", alpha=\"0.18\", expect_size=\"41651200\"] \n  7 -> 11 [size =\"41651200\"]\n  7 -> 12 [size =\"41651200\"]\n  8 [size=\"122483200\", alpha=\"0.16\", expect_size=\"48993280\"] \n  8 -> 12 [size =\"48993280\"]\n  9 [size=\"109483520\", alpha=\"0.05\", expect_size=\"43793408\"] \n  9 -> 10 [size =\"43793408\"]\n  9 -> 12 [size =\"43793408\"]\n  10 [size=\"49169920\", alpha=\"0.15\", expect_size=\"19667968\"] \n  10 -> 13 [size =\"19667968\"]\n  11 [size=\"107904000\", alpha=\"0.15\", expect_size=\"43161600\"] \n  11 -> 13 [size =\"43161600\"]\n  11 -> 14 [size =\"43161600\"]\n  11 -> 15 [size =\"43161600\"]\n  12 [size=\"54556160\", alpha=\"0.09\", expect_size=\"21822464\"] \n  12 -> 13 [size =\"21822464\"]\n  12 -> 15 [size =\"21822464\"]\n  13 [size=\"43473920\", alpha=\"0.06\", expect_size=\"17389568\"] \n  13 -> 16 [size =\"17389568\"]\n  13 -> 19 [size =\"17389568\"]\n  14 [size=\"42037760\", alpha=\"0.15\", expect_size=\"16815104\"] \n  14 -> 16 [size =\"16815104\"]\n  14 -> 17 [size =\"16815104\"]\n  14 -> 18 [size =\"16815104\"]\n  14 -> 19 [size =\"16815104\"]\n  15 [size=\"65689600\", alpha=\"0.19\", expect_size=\"26275840\"] \n  15 -> 16 [size =\"26275840\"]\n  15 -> 19 [size =\"26275840\"]\n  16 [size=\"53893120\", alpha=\"0.09\", expect_size=\"21557248\"] \n  16 -> 20 [size =\"21557248\"]\n  17 [size=\"80944640\", alpha=\"0.15\", expect_size=\"32377856\"] \n  18 [size=\"71948800\", alpha=\"0.14\", expect_size=\"28779520\"] \n  18 -> 20 [size =\"28779520\"]\n  19 [size=\"47303680\", alpha=\"0.15\", expect_size=\"18921472\"] \n  19 -> 20 [size =\"18921472\"]\n  20 [size=\"75284480\", alpha=\"0.02\", expect_size=\"30113792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88532480\", alpha=\"0.15\", expect_size=\"35412992\"] \n  1 -> 3 [size =\"35412992\"]\n  1 -> 4 [size =\"35412992\"]\n  2 [size=\"114969600\", alpha=\"0.05\", expect_size=\"45987840\"] \n  2 -> 3 [size =\"45987840\"]\n  2 -> 4 [size =\"45987840\"]\n  3 [size=\"97871360\", alpha=\"0.08\", expect_size=\"39148544\"] \n  3 -> 5 [size =\"39148544\"]\n  3 -> 6 [size =\"39148544\"]\n  4 [size=\"47828480\", alpha=\"0.03\", expect_size=\"19131392\"] \n  4 -> 6 [size =\"19131392\"]\n  5 [size=\"60544000\", alpha=\"0.19\", expect_size=\"24217600\"] \n  5 -> 7 [size =\"24217600\"]\n  5 -> 8 [size =\"24217600\"]\n  6 [size=\"18872320\", alpha=\"0.15\", expect_size=\"7548928\"] \n  6 -> 7 [size =\"7548928\"]\n  6 -> 8 [size =\"7548928\"]\n  7 [size=\"69248000\", alpha=\"0.11\", expect_size=\"27699200\"] \n  8 [size=\"58882560\", alpha=\"0.15\", expect_size=\"23553024\"] \n  8 -> 9 [size =\"23553024\"]\n  9 [size=\"111856640\", alpha=\"0.12\", expect_size=\"44742656\"] \n  9 -> 10 [size =\"44742656\"]\n  10 [size=\"71308800\", alpha=\"0.14\", expect_size=\"28523520\"] \n  10 -> 11 [size =\"28523520\"]\n  10 -> 12 [size =\"28523520\"]\n  11 [size=\"115709440\", alpha=\"0.20\", expect_size=\"46283776\"] \n  11 -> 13 [size =\"46283776\"]\n  11 -> 14 [size =\"46283776\"]\n  12 [size=\"85916160\", alpha=\"0.19\", expect_size=\"34366464\"] \n  12 -> 13 [size =\"34366464\"]\n  12 -> 14 [size =\"34366464\"]\n  13 [size=\"115801600\", alpha=\"0.18\", expect_size=\"46320640\"] \n  13 -> 15 [size =\"46320640\"]\n  14 [size=\"45775360\", alpha=\"0.12\", expect_size=\"18310144\"] \n  14 -> 16 [size =\"18310144\"]\n  15 [size=\"65697280\", alpha=\"0.15\", expect_size=\"26278912\"] \n  15 -> 18 [size =\"26278912\"]\n  16 [size=\"58841600\", alpha=\"0.08\", expect_size=\"23536640\"] \n  16 -> 17 [size =\"23536640\"]\n  16 -> 18 [size =\"23536640\"]\n  17 [size=\"32125440\", alpha=\"0.19\", expect_size=\"12850176\"] \n  18 [size=\"95421440\", alpha=\"0.06\", expect_size=\"38168576\"] \n  18 -> 19 [size =\"38168576\"]\n  19 [size=\"66350080\", alpha=\"0.06\", expect_size=\"26540032\"] \n  19 -> 20 [size =\"26540032\"]\n  20 [size=\"22074880\", alpha=\"0.02\", expect_size=\"8829952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23938560\", alpha=\"0.04\", expect_size=\"9575424\"] \n  1 -> 15 [size =\"9575424\"]\n  2 [size=\"88535040\", alpha=\"0.15\", expect_size=\"35414016\"] \n  3 [size=\"30059520\", alpha=\"0.11\", expect_size=\"12023808\"] \n  3 -> 14 [size =\"12023808\"]\n  3 -> 17 [size =\"12023808\"]\n  3 -> 19 [size =\"12023808\"]\n  3 -> 20 [size =\"12023808\"]\n  4 [size=\"114606080\", alpha=\"0.03\", expect_size=\"45842432\"] \n  4 -> 17 [size =\"45842432\"]\n  5 [size=\"87621120\", alpha=\"0.18\", expect_size=\"35048448\"] \n  5 -> 19 [size =\"35048448\"]\n  6 [size=\"97021440\", alpha=\"0.15\", expect_size=\"38808576\"] \n  6 -> 17 [size =\"38808576\"]\n  6 -> 19 [size =\"38808576\"]\n  7 [size=\"29967360\", alpha=\"0.06\", expect_size=\"11986944\"] \n  7 -> 15 [size =\"11986944\"]\n  7 -> 18 [size =\"11986944\"]\n  7 -> 20 [size =\"11986944\"]\n  8 [size=\"81408000\", alpha=\"0.15\", expect_size=\"32563200\"] \n  8 -> 16 [size =\"32563200\"]\n  8 -> 19 [size =\"32563200\"]\n  8 -> 20 [size =\"32563200\"]\n  9 [size=\"26731520\", alpha=\"0.09\", expect_size=\"10692608\"] \n  9 -> 20 [size =\"10692608\"]\n  10 [size=\"108395520\", alpha=\"0.14\", expect_size=\"43358208\"] \n  10 -> 19 [size =\"43358208\"]\n  10 -> 20 [size =\"43358208\"]\n  11 [size=\"86128640\", alpha=\"0.04\", expect_size=\"34451456\"] \n  11 -> 16 [size =\"34451456\"]\n  11 -> 20 [size =\"34451456\"]\n  12 [size=\"110008320\", alpha=\"0.18\", expect_size=\"44003328\"] \n  12 -> 16 [size =\"44003328\"]\n  12 -> 17 [size =\"44003328\"]\n  12 -> 18 [size =\"44003328\"]\n  12 -> 20 [size =\"44003328\"]\n  13 [size=\"80071680\", alpha=\"0.18\", expect_size=\"32028672\"] \n  13 -> 16 [size =\"32028672\"]\n  14 [size=\"26101760\", alpha=\"0.12\", expect_size=\"10440704\"] \n  15 [size=\"41761280\", alpha=\"0.03\", expect_size=\"16704512\"] \n  16 [size=\"27883520\", alpha=\"0.19\", expect_size=\"11153408\"] \n  17 [size=\"113489920\", alpha=\"0.16\", expect_size=\"45395968\"] \n  18 [size=\"29967360\", alpha=\"0.12\", expect_size=\"11986944\"] \n  19 [size=\"120842240\", alpha=\"0.02\", expect_size=\"48336896\"] \n  20 [size=\"53468160\", alpha=\"0.18\", expect_size=\"21387264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111936000\", alpha=\"0.04\", expect_size=\"44774400\"] \n  1 -> 4 [size =\"44774400\"]\n  1 -> 5 [size =\"44774400\"]\n  2 [size=\"20546560\", alpha=\"0.20\", expect_size=\"8218624\"] \n  2 -> 5 [size =\"8218624\"]\n  3 [size=\"100170240\", alpha=\"0.19\", expect_size=\"40068096\"] \n  3 -> 5 [size =\"40068096\"]\n  3 -> 6 [size =\"40068096\"]\n  4 [size=\"42293760\", alpha=\"0.04\", expect_size=\"16917504\"] \n  5 [size=\"19164160\", alpha=\"0.09\", expect_size=\"7665664\"] \n  5 -> 7 [size =\"7665664\"]\n  5 -> 8 [size =\"7665664\"]\n  5 -> 9 [size =\"7665664\"]\n  6 [size=\"95644160\", alpha=\"0.05\", expect_size=\"38257664\"] \n  6 -> 9 [size =\"38257664\"]\n  7 [size=\"99353600\", alpha=\"0.17\", expect_size=\"39741440\"] \n  7 -> 10 [size =\"39741440\"]\n  7 -> 11 [size =\"39741440\"]\n  8 [size=\"85788160\", alpha=\"0.11\", expect_size=\"34315264\"] \n  8 -> 12 [size =\"34315264\"]\n  9 [size=\"24773120\", alpha=\"0.15\", expect_size=\"9909248\"] \n  9 -> 10 [size =\"9909248\"]\n  9 -> 12 [size =\"9909248\"]\n  9 -> 13 [size =\"9909248\"]\n  10 [size=\"98823680\", alpha=\"0.06\", expect_size=\"39529472\"] \n  10 -> 14 [size =\"39529472\"]\n  11 [size=\"92674560\", alpha=\"0.01\", expect_size=\"37069824\"] \n  11 -> 15 [size =\"37069824\"]\n  12 [size=\"114603520\", alpha=\"0.15\", expect_size=\"45841408\"] \n  12 -> 15 [size =\"45841408\"]\n  13 [size=\"114019840\", alpha=\"0.18\", expect_size=\"45607936\"] \n  13 -> 14 [size =\"45607936\"]\n  14 [size=\"110315520\", alpha=\"0.02\", expect_size=\"44126208\"] \n  14 -> 16 [size =\"44126208\"]\n  14 -> 17 [size =\"44126208\"]\n  14 -> 18 [size =\"44126208\"]\n  14 -> 19 [size =\"44126208\"]\n  15 [size=\"13189120\", alpha=\"0.08\", expect_size=\"5275648\"] \n  15 -> 17 [size =\"5275648\"]\n  15 -> 18 [size =\"5275648\"]\n  15 -> 19 [size =\"5275648\"]\n  16 [size=\"66071040\", alpha=\"0.05\", expect_size=\"26428416\"] \n  17 [size=\"97579520\", alpha=\"0.16\", expect_size=\"39031808\"] \n  18 [size=\"82460160\", alpha=\"0.04\", expect_size=\"32984064\"] \n  19 [size=\"27673600\", alpha=\"0.16\", expect_size=\"11069440\"] \n  19 -> 20 [size =\"11069440\"]\n  20 [size=\"114245120\", alpha=\"0.09\", expect_size=\"45698048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44856320\", alpha=\"0.01\", expect_size=\"17942528\"] \n  1 -> 8 [size =\"17942528\"]\n  1 -> 10 [size =\"17942528\"]\n  1 -> 11 [size =\"17942528\"]\n  1 -> 12 [size =\"17942528\"]\n  1 -> 13 [size =\"17942528\"]\n  1 -> 14 [size =\"17942528\"]\n  2 [size=\"92290560\", alpha=\"0.17\", expect_size=\"36916224\"] \n  2 -> 8 [size =\"36916224\"]\n  2 -> 9 [size =\"36916224\"]\n  2 -> 10 [size =\"36916224\"]\n  2 -> 13 [size =\"36916224\"]\n  3 [size=\"55188480\", alpha=\"0.10\", expect_size=\"22075392\"] \n  3 -> 8 [size =\"22075392\"]\n  3 -> 10 [size =\"22075392\"]\n  3 -> 10 [size =\"22075392\"]\n  3 -> 12 [size =\"22075392\"]\n  3 -> 13 [size =\"22075392\"]\n  4 [size=\"48422400\", alpha=\"0.12\", expect_size=\"19368960\"] \n  4 -> 8 [size =\"19368960\"]\n  4 -> 10 [size =\"19368960\"]\n  4 -> 12 [size =\"19368960\"]\n  4 -> 13 [size =\"19368960\"]\n  5 [size=\"59092480\", alpha=\"0.15\", expect_size=\"23636992\"] \n  5 -> 8 [size =\"23636992\"]\n  5 -> 10 [size =\"23636992\"]\n  5 -> 12 [size =\"23636992\"]\n  6 [size=\"20817920\", alpha=\"0.19\", expect_size=\"8327168\"] \n  6 -> 8 [size =\"8327168\"]\n  6 -> 12 [size =\"8327168\"]\n  7 [size=\"20119040\", alpha=\"0.11\", expect_size=\"8047616\"] \n  7 -> 8 [size =\"8047616\"]\n  7 -> 12 [size =\"8047616\"]\n  7 -> 13 [size =\"8047616\"]\n  8 [size=\"99153920\", alpha=\"0.09\", expect_size=\"39661568\"] \n  8 -> 15 [size =\"39661568\"]\n  8 -> 17 [size =\"39661568\"]\n  8 -> 18 [size =\"39661568\"]\n  8 -> 20 [size =\"39661568\"]\n  9 [size=\"44546560\", alpha=\"0.12\", expect_size=\"17818624\"] \n  9 -> 17 [size =\"17818624\"]\n  9 -> 19 [size =\"17818624\"]\n  10 [size=\"104166400\", alpha=\"0.01\", expect_size=\"41666560\"] \n  10 -> 16 [size =\"41666560\"]\n  10 -> 17 [size =\"41666560\"]\n  10 -> 20 [size =\"41666560\"]\n  11 [size=\"22095360\", alpha=\"0.20\", expect_size=\"8838144\"] \n  11 -> 15 [size =\"8838144\"]\n  11 -> 16 [size =\"8838144\"]\n  11 -> 17 [size =\"8838144\"]\n  11 -> 19 [size =\"8838144\"]\n  11 -> 20 [size =\"8838144\"]\n  12 [size=\"25059840\", alpha=\"0.18\", expect_size=\"10023936\"] \n  12 -> 17 [size =\"10023936\"]\n  12 -> 19 [size =\"10023936\"]\n  12 -> 20 [size =\"10023936\"]\n  13 [size=\"127539200\", alpha=\"0.20\", expect_size=\"51015680\"] \n  13 -> 15 [size =\"51015680\"]\n  13 -> 17 [size =\"51015680\"]\n  13 -> 18 [size =\"51015680\"]\n  13 -> 20 [size =\"51015680\"]\n  14 [size=\"69959680\", alpha=\"0.17\", expect_size=\"27983872\"] \n  14 -> 16 [size =\"27983872\"]\n  14 -> 17 [size =\"27983872\"]\n  14 -> 18 [size =\"27983872\"]\n  14 -> 19 [size =\"27983872\"]\n  15 [size=\"23124480\", alpha=\"0.19\", expect_size=\"9249792\"] \n  16 [size=\"114488320\", alpha=\"0.07\", expect_size=\"45795328\"] \n  17 [size=\"107394560\", alpha=\"0.09\", expect_size=\"42957824\"] \n  18 [size=\"56985600\", alpha=\"0.03\", expect_size=\"22794240\"] \n  19 [size=\"111930880\", alpha=\"0.19\", expect_size=\"44772352\"] \n  20 [size=\"61992960\", alpha=\"0.19\", expect_size=\"24797184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81216000\", alpha=\"0.10\", expect_size=\"32486400\"] \n  1 -> 2 [size =\"32486400\"]\n  2 [size=\"108218880\", alpha=\"0.13\", expect_size=\"43287552\"] \n  2 -> 3 [size =\"43287552\"]\n  3 [size=\"57336320\", alpha=\"0.10\", expect_size=\"22934528\"] \n  3 -> 4 [size =\"22934528\"]\n  4 [size=\"94727680\", alpha=\"0.08\", expect_size=\"37891072\"] \n  4 -> 5 [size =\"37891072\"]\n  5 [size=\"69936640\", alpha=\"0.06\", expect_size=\"27974656\"] \n  5 -> 6 [size =\"27974656\"]\n  6 [size=\"106114560\", alpha=\"0.14\", expect_size=\"42445824\"] \n  6 -> 7 [size =\"42445824\"]\n  7 [size=\"108029440\", alpha=\"0.14\", expect_size=\"43211776\"] \n  7 -> 8 [size =\"43211776\"]\n  8 [size=\"60715520\", alpha=\"0.06\", expect_size=\"24286208\"] \n  8 -> 9 [size =\"24286208\"]\n  9 [size=\"53949440\", alpha=\"0.02\", expect_size=\"21579776\"] \n  9 -> 10 [size =\"21579776\"]\n  10 [size=\"50503680\", alpha=\"0.11\", expect_size=\"20201472\"] \n  10 -> 11 [size =\"20201472\"]\n  11 [size=\"73502720\", alpha=\"0.04\", expect_size=\"29401088\"] \n  11 -> 12 [size =\"29401088\"]\n  12 [size=\"15267840\", alpha=\"0.18\", expect_size=\"6107136\"] \n  12 -> 13 [size =\"6107136\"]\n  13 [size=\"91077120\", alpha=\"0.11\", expect_size=\"36430848\"] \n  13 -> 14 [size =\"36430848\"]\n  14 [size=\"29634560\", alpha=\"0.10\", expect_size=\"11853824\"] \n  14 -> 15 [size =\"11853824\"]\n  15 [size=\"76065280\", alpha=\"0.18\", expect_size=\"30426112\"] \n  15 -> 16 [size =\"30426112\"]\n  16 [size=\"111395840\", alpha=\"0.16\", expect_size=\"44558336\"] \n  16 -> 17 [size =\"44558336\"]\n  17 [size=\"74677760\", alpha=\"0.12\", expect_size=\"29871104\"] \n  17 -> 18 [size =\"29871104\"]\n  18 [size=\"40465920\", alpha=\"0.06\", expect_size=\"16186368\"] \n  18 -> 19 [size =\"16186368\"]\n  19 [size=\"76595200\", alpha=\"0.11\", expect_size=\"30638080\"] \n  19 -> 20 [size =\"30638080\"]\n  20 [size=\"89413120\", alpha=\"0.12\", expect_size=\"35765248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32483328\", alpha=\"0.08\", expect_size=\"16241664\"] \n  1 -> 2 [size =\"16241664\"]\n  2 [size=\"16295936\", alpha=\"0.12\", expect_size=\"8147968\"] \n  2 -> 3 [size =\"8147968\"]\n  3 [size=\"39733248\", alpha=\"0.04\", expect_size=\"19866624\"] \n  3 -> 4 [size =\"19866624\"]\n  4 [size=\"89550848\", alpha=\"0.16\", expect_size=\"44775424\"] \n  4 -> 5 [size =\"44775424\"]\n  5 [size=\"53618688\", alpha=\"0.07\", expect_size=\"26809344\"] \n  5 -> 6 [size =\"26809344\"]\n  6 [size=\"70467584\", alpha=\"0.10\", expect_size=\"35233792\"] \n  6 -> 7 [size =\"35233792\"]\n  7 [size=\"80918528\", alpha=\"0.03\", expect_size=\"40459264\"] \n  7 -> 8 [size =\"40459264\"]\n  8 [size=\"92532736\", alpha=\"0.12\", expect_size=\"46266368\"] \n  8 -> 9 [size =\"46266368\"]\n  9 [size=\"97470464\", alpha=\"0.16\", expect_size=\"48735232\"] \n  9 -> 10 [size =\"48735232\"]\n  10 [size=\"35301376\", alpha=\"0.13\", expect_size=\"17650688\"] \n  10 -> 11 [size =\"17650688\"]\n  11 [size=\"85051392\", alpha=\"0.18\", expect_size=\"42525696\"] \n  11 -> 12 [size =\"42525696\"]\n  12 [size=\"30509056\", alpha=\"0.01\", expect_size=\"15254528\"] \n  12 -> 13 [size =\"15254528\"]\n  13 [size=\"88377344\", alpha=\"0.12\", expect_size=\"44188672\"] \n  13 -> 14 [size =\"44188672\"]\n  14 [size=\"10838016\", alpha=\"0.07\", expect_size=\"5419008\"] \n  14 -> 15 [size =\"5419008\"]\n  15 [size=\"87480320\", alpha=\"0.02\", expect_size=\"43740160\"] \n  15 -> 16 [size =\"43740160\"]\n  16 [size=\"27217920\", alpha=\"0.06\", expect_size=\"13608960\"] \n  16 -> 17 [size =\"13608960\"]\n  17 [size=\"72181760\", alpha=\"0.01\", expect_size=\"36090880\"] \n  17 -> 18 [size =\"36090880\"]\n  18 [size=\"88383488\", alpha=\"0.19\", expect_size=\"44191744\"] \n  18 -> 19 [size =\"44191744\"]\n  19 [size=\"48386048\", alpha=\"0.19\", expect_size=\"24193024\"] \n  19 -> 20 [size =\"24193024\"]\n  20 [size=\"29947904\", alpha=\"0.16\", expect_size=\"14973952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35363840\", alpha=\"0.07\", expect_size=\"14145536\"] \n  1 -> 10 [size =\"14145536\"]\n  1 -> 11 [size =\"14145536\"]\n  1 -> 13 [size =\"14145536\"]\n  1 -> 14 [size =\"14145536\"]\n  1 -> 15 [size =\"14145536\"]\n  1 -> 16 [size =\"14145536\"]\n  2 [size=\"52741120\", alpha=\"0.14\", expect_size=\"21096448\"] \n  2 -> 9 [size =\"21096448\"]\n  2 -> 12 [size =\"21096448\"]\n  2 -> 13 [size =\"21096448\"]\n  2 -> 14 [size =\"21096448\"]\n  2 -> 16 [size =\"21096448\"]\n  3 [size=\"114920960\", alpha=\"0.10\", expect_size=\"45968384\"] \n  3 -> 10 [size =\"45968384\"]\n  3 -> 12 [size =\"45968384\"]\n  3 -> 13 [size =\"45968384\"]\n  3 -> 14 [size =\"45968384\"]\n  3 -> 16 [size =\"45968384\"]\n  4 [size=\"96296960\", alpha=\"0.01\", expect_size=\"38518784\"] \n  4 -> 14 [size =\"38518784\"]\n  4 -> 15 [size =\"38518784\"]\n  4 -> 16 [size =\"38518784\"]\n  5 [size=\"89221120\", alpha=\"0.07\", expect_size=\"35688448\"] \n  5 -> 9 [size =\"35688448\"]\n  5 -> 10 [size =\"35688448\"]\n  5 -> 12 [size =\"35688448\"]\n  5 -> 13 [size =\"35688448\"]\n  5 -> 16 [size =\"35688448\"]\n  6 [size=\"39303680\", alpha=\"0.07\", expect_size=\"15721472\"] \n  6 -> 9 [size =\"15721472\"]\n  6 -> 11 [size =\"15721472\"]\n  6 -> 12 [size =\"15721472\"]\n  6 -> 15 [size =\"15721472\"]\n  6 -> 16 [size =\"15721472\"]\n  7 [size=\"58158080\", alpha=\"0.16\", expect_size=\"23263232\"] \n  7 -> 9 [size =\"23263232\"]\n  7 -> 12 [size =\"23263232\"]\n  7 -> 14 [size =\"23263232\"]\n  7 -> 15 [size =\"23263232\"]\n  7 -> 16 [size =\"23263232\"]\n  8 [size=\"84321280\", alpha=\"0.14\", expect_size=\"33728512\"] \n  8 -> 9 [size =\"33728512\"]\n  8 -> 10 [size =\"33728512\"]\n  8 -> 11 [size =\"33728512\"]\n  8 -> 14 [size =\"33728512\"]\n  8 -> 15 [size =\"33728512\"]\n  8 -> 16 [size =\"33728512\"]\n  9 [size=\"123484160\", alpha=\"0.19\", expect_size=\"49393664\"] \n  9 -> 18 [size =\"49393664\"]\n  9 -> 19 [size =\"49393664\"]\n  10 [size=\"67788800\", alpha=\"0.18\", expect_size=\"27115520\"] \n  10 -> 17 [size =\"27115520\"]\n  10 -> 18 [size =\"27115520\"]\n  10 -> 19 [size =\"27115520\"]\n  11 [size=\"81856000\", alpha=\"0.09\", expect_size=\"32742400\"] \n  11 -> 17 [size =\"32742400\"]\n  11 -> 18 [size =\"32742400\"]\n  11 -> 19 [size =\"32742400\"]\n  11 -> 20 [size =\"32742400\"]\n  12 [size=\"123025920\", alpha=\"0.03\", expect_size=\"49210368\"] \n  12 -> 18 [size =\"49210368\"]\n  12 -> 19 [size =\"49210368\"]\n  12 -> 20 [size =\"49210368\"]\n  12 -> 20 [size =\"49210368\"]\n  13 [size=\"87703040\", alpha=\"0.16\", expect_size=\"35081216\"] \n  13 -> 18 [size =\"35081216\"]\n  13 -> 20 [size =\"35081216\"]\n  14 [size=\"26608640\", alpha=\"0.19\", expect_size=\"10643456\"] \n  14 -> 18 [size =\"10643456\"]\n  14 -> 19 [size =\"10643456\"]\n  14 -> 20 [size =\"10643456\"]\n  15 [size=\"32663040\", alpha=\"0.13\", expect_size=\"13065216\"] \n  15 -> 18 [size =\"13065216\"]\n  15 -> 20 [size =\"13065216\"]\n  15 -> 20 [size =\"13065216\"]\n  16 [size=\"74982400\", alpha=\"0.20\", expect_size=\"29992960\"] \n  16 -> 18 [size =\"29992960\"]\n  17 [size=\"118937600\", alpha=\"0.16\", expect_size=\"47575040\"] \n  18 [size=\"95096320\", alpha=\"0.18\", expect_size=\"38038528\"] \n  19 [size=\"62387200\", alpha=\"0.15\", expect_size=\"24954880\"] \n  20 [size=\"57418240\", alpha=\"0.09\", expect_size=\"22967296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111255040\", alpha=\"0.06\", expect_size=\"44502016\"] \n  1 -> 8 [size =\"44502016\"]\n  1 -> 12 [size =\"44502016\"]\n  1 -> 13 [size =\"44502016\"]\n  2 [size=\"79390720\", alpha=\"0.06\", expect_size=\"31756288\"] \n  2 -> 9 [size =\"31756288\"]\n  2 -> 10 [size =\"31756288\"]\n  2 -> 11 [size =\"31756288\"]\n  2 -> 12 [size =\"31756288\"]\n  3 [size=\"76472320\", alpha=\"0.16\", expect_size=\"30588928\"] \n  3 -> 10 [size =\"30588928\"]\n  3 -> 10 [size =\"30588928\"]\n  3 -> 11 [size =\"30588928\"]\n  4 [size=\"14707200\", alpha=\"0.01\", expect_size=\"5882880\"] \n  4 -> 9 [size =\"5882880\"]\n  4 -> 10 [size =\"5882880\"]\n  4 -> 11 [size =\"5882880\"]\n  4 -> 15 [size =\"5882880\"]\n  5 [size=\"21532160\", alpha=\"0.18\", expect_size=\"8612864\"] \n  5 -> 8 [size =\"8612864\"]\n  5 -> 12 [size =\"8612864\"]\n  5 -> 15 [size =\"8612864\"]\n  6 [size=\"26892800\", alpha=\"0.10\", expect_size=\"10757120\"] \n  6 -> 8 [size =\"10757120\"]\n  6 -> 9 [size =\"10757120\"]\n  6 -> 10 [size =\"10757120\"]\n  6 -> 11 [size =\"10757120\"]\n  6 -> 12 [size =\"10757120\"]\n  7 [size=\"13145600\", alpha=\"0.11\", expect_size=\"5258240\"] \n  7 -> 9 [size =\"5258240\"]\n  7 -> 10 [size =\"5258240\"]\n  7 -> 11 [size =\"5258240\"]\n  7 -> 12 [size =\"5258240\"]\n  7 -> 14 [size =\"5258240\"]\n  7 -> 15 [size =\"5258240\"]\n  8 [size=\"80893440\", alpha=\"0.13\", expect_size=\"32357376\"] \n  8 -> 18 [size =\"32357376\"]\n  8 -> 19 [size =\"32357376\"]\n  8 -> 20 [size =\"32357376\"]\n  9 [size=\"53263360\", alpha=\"0.12\", expect_size=\"21305344\"] \n  9 -> 16 [size =\"21305344\"]\n  9 -> 19 [size =\"21305344\"]\n  10 [size=\"97041920\", alpha=\"0.07\", expect_size=\"38816768\"] \n  10 -> 16 [size =\"38816768\"]\n  10 -> 19 [size =\"38816768\"]\n  11 [size=\"123804160\", alpha=\"0.16\", expect_size=\"49521664\"] \n  11 -> 16 [size =\"49521664\"]\n  11 -> 17 [size =\"49521664\"]\n  11 -> 18 [size =\"49521664\"]\n  11 -> 20 [size =\"49521664\"]\n  12 [size=\"40430080\", alpha=\"0.01\", expect_size=\"16172032\"] \n  12 -> 16 [size =\"16172032\"]\n  12 -> 18 [size =\"16172032\"]\n  13 [size=\"77511680\", alpha=\"0.15\", expect_size=\"31004672\"] \n  13 -> 17 [size =\"31004672\"]\n  14 [size=\"54970880\", alpha=\"0.10\", expect_size=\"21988352\"] \n  14 -> 16 [size =\"21988352\"]\n  14 -> 17 [size =\"21988352\"]\n  14 -> 18 [size =\"21988352\"]\n  14 -> 19 [size =\"21988352\"]\n  15 [size=\"59427840\", alpha=\"0.11\", expect_size=\"23771136\"] \n  15 -> 16 [size =\"23771136\"]\n  15 -> 19 [size =\"23771136\"]\n  16 [size=\"46543360\", alpha=\"0.15\", expect_size=\"18617344\"] \n  17 [size=\"108014080\", alpha=\"0.19\", expect_size=\"43205632\"] \n  18 [size=\"54236160\", alpha=\"0.00\", expect_size=\"21694464\"] \n  19 [size=\"130508800\", alpha=\"0.11\", expect_size=\"52203520\"] \n  20 [size=\"82173440\", alpha=\"0.04\", expect_size=\"32869376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69035520\", alpha=\"0.08\", expect_size=\"27614208\"] \n  1 -> 2 [size =\"27614208\"]\n  2 [size=\"70179840\", alpha=\"0.13\", expect_size=\"28071936\"] \n  2 -> 3 [size =\"28071936\"]\n  3 [size=\"23237120\", alpha=\"0.05\", expect_size=\"9294848\"] \n  3 -> 4 [size =\"9294848\"]\n  3 -> 5 [size =\"9294848\"]\n  4 [size=\"72908800\", alpha=\"0.11\", expect_size=\"29163520\"] \n  5 [size=\"36684800\", alpha=\"0.04\", expect_size=\"14673920\"] \n  5 -> 6 [size =\"14673920\"]\n  6 [size=\"120051200\", alpha=\"0.06\", expect_size=\"48020480\"] \n  6 -> 7 [size =\"48020480\"]\n  7 [size=\"40514560\", alpha=\"0.11\", expect_size=\"16205824\"] \n  7 -> 8 [size =\"16205824\"]\n  8 [size=\"67343360\", alpha=\"0.19\", expect_size=\"26937344\"] \n  8 -> 9 [size =\"26937344\"]\n  9 [size=\"57510400\", alpha=\"0.02\", expect_size=\"23004160\"] \n  9 -> 10 [size =\"23004160\"]\n  9 -> 11 [size =\"23004160\"]\n  10 [size=\"71969280\", alpha=\"0.09\", expect_size=\"28787712\"] \n  10 -> 13 [size =\"28787712\"]\n  11 [size=\"14064640\", alpha=\"0.07\", expect_size=\"5625856\"] \n  11 -> 12 [size =\"5625856\"]\n  12 [size=\"61885440\", alpha=\"0.17\", expect_size=\"24754176\"] \n  12 -> 14 [size =\"24754176\"]\n  13 [size=\"20526080\", alpha=\"0.09\", expect_size=\"8210432\"] \n  14 [size=\"52016640\", alpha=\"0.19\", expect_size=\"20806656\"] \n  14 -> 15 [size =\"20806656\"]\n  15 [size=\"116078080\", alpha=\"0.13\", expect_size=\"46431232\"] \n  15 -> 16 [size =\"46431232\"]\n  15 -> 17 [size =\"46431232\"]\n  16 [size=\"20582400\", alpha=\"0.13\", expect_size=\"8232960\"] \n  16 -> 18 [size =\"8232960\"]\n  17 [size=\"53890560\", alpha=\"0.12\", expect_size=\"21556224\"] \n  18 [size=\"119728640\", alpha=\"0.16\", expect_size=\"47891456\"] \n  18 -> 19 [size =\"47891456\"]\n  18 -> 20 [size =\"47891456\"]\n  19 [size=\"111567360\", alpha=\"0.15\", expect_size=\"44626944\"] \n  20 [size=\"123481600\", alpha=\"0.09\", expect_size=\"49392640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119482880\", alpha=\"0.19\", expect_size=\"47793152\"] \n  1 -> 2 [size =\"47793152\"]\n  2 [size=\"116979200\", alpha=\"0.16\", expect_size=\"46791680\"] \n  2 -> 3 [size =\"46791680\"]\n  3 [size=\"96494080\", alpha=\"0.10\", expect_size=\"38597632\"] \n  3 -> 4 [size =\"38597632\"]\n  4 [size=\"69893120\", alpha=\"0.10\", expect_size=\"27957248\"] \n  4 -> 5 [size =\"27957248\"]\n  5 [size=\"26004480\", alpha=\"0.07\", expect_size=\"10401792\"] \n  5 -> 6 [size =\"10401792\"]\n  6 [size=\"32087040\", alpha=\"0.15\", expect_size=\"12834816\"] \n  6 -> 7 [size =\"12834816\"]\n  6 -> 8 [size =\"12834816\"]\n  7 [size=\"83466240\", alpha=\"0.18\", expect_size=\"33386496\"] \n  7 -> 10 [size =\"33386496\"]\n  8 [size=\"104040960\", alpha=\"0.17\", expect_size=\"41616384\"] \n  8 -> 9 [size =\"41616384\"]\n  8 -> 10 [size =\"41616384\"]\n  9 [size=\"108047360\", alpha=\"0.11\", expect_size=\"43218944\"] \n  9 -> 11 [size =\"43218944\"]\n  10 [size=\"43622400\", alpha=\"0.11\", expect_size=\"17448960\"] \n  11 [size=\"102750720\", alpha=\"0.16\", expect_size=\"41100288\"] \n  11 -> 12 [size =\"41100288\"]\n  11 -> 13 [size =\"41100288\"]\n  12 [size=\"96192000\", alpha=\"0.03\", expect_size=\"38476800\"] \n  12 -> 15 [size =\"38476800\"]\n  13 [size=\"73356800\", alpha=\"0.03\", expect_size=\"29342720\"] \n  13 -> 14 [size =\"29342720\"]\n  14 [size=\"17169920\", alpha=\"0.12\", expect_size=\"6867968\"] \n  14 -> 16 [size =\"6867968\"]\n  15 [size=\"73740800\", alpha=\"0.10\", expect_size=\"29496320\"] \n  15 -> 16 [size =\"29496320\"]\n  16 [size=\"113620480\", alpha=\"0.19\", expect_size=\"45448192\"] \n  16 -> 17 [size =\"45448192\"]\n  17 [size=\"85245440\", alpha=\"0.09\", expect_size=\"34098176\"] \n  17 -> 18 [size =\"34098176\"]\n  17 -> 19 [size =\"34098176\"]\n  18 [size=\"74309120\", alpha=\"0.09\", expect_size=\"29723648\"] \n  19 [size=\"59525120\", alpha=\"0.07\", expect_size=\"23810048\"] \n  19 -> 20 [size =\"23810048\"]\n  20 [size=\"126679040\", alpha=\"0.07\", expect_size=\"50671616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125002240\", alpha=\"0.09\", expect_size=\"50000896\"] \n  1 -> 2 [size =\"50000896\"]\n  2 [size=\"44162560\", alpha=\"0.18\", expect_size=\"17665024\"] \n  2 -> 3 [size =\"17665024\"]\n  3 [size=\"118863360\", alpha=\"0.02\", expect_size=\"47545344\"] \n  3 -> 4 [size =\"47545344\"]\n  4 [size=\"126748160\", alpha=\"0.16\", expect_size=\"50699264\"] \n  4 -> 5 [size =\"50699264\"]\n  5 [size=\"97013760\", alpha=\"0.11\", expect_size=\"38805504\"] \n  5 -> 6 [size =\"38805504\"]\n  6 [size=\"39971840\", alpha=\"0.16\", expect_size=\"15988736\"] \n  6 -> 7 [size =\"15988736\"]\n  7 [size=\"46848000\", alpha=\"0.16\", expect_size=\"18739200\"] \n  7 -> 8 [size =\"18739200\"]\n  8 [size=\"72171520\", alpha=\"0.15\", expect_size=\"28868608\"] \n  8 -> 9 [size =\"28868608\"]\n  9 [size=\"21048320\", alpha=\"0.01\", expect_size=\"8419328\"] \n  9 -> 10 [size =\"8419328\"]\n  10 [size=\"39150080\", alpha=\"0.06\", expect_size=\"15660032\"] \n  10 -> 11 [size =\"15660032\"]\n  11 [size=\"55815680\", alpha=\"0.13\", expect_size=\"22326272\"] \n  11 -> 12 [size =\"22326272\"]\n  12 [size=\"108349440\", alpha=\"0.02\", expect_size=\"43339776\"] \n  12 -> 13 [size =\"43339776\"]\n  13 [size=\"96640000\", alpha=\"0.01\", expect_size=\"38656000\"] \n  13 -> 14 [size =\"38656000\"]\n  14 [size=\"108098560\", alpha=\"0.09\", expect_size=\"43239424\"] \n  14 -> 15 [size =\"43239424\"]\n  15 [size=\"86067200\", alpha=\"0.18\", expect_size=\"34426880\"] \n  15 -> 16 [size =\"34426880\"]\n  16 [size=\"34365440\", alpha=\"0.09\", expect_size=\"13746176\"] \n  16 -> 17 [size =\"13746176\"]\n  17 [size=\"126922240\", alpha=\"0.12\", expect_size=\"50768896\"] \n  17 -> 18 [size =\"50768896\"]\n  18 [size=\"106112000\", alpha=\"0.02\", expect_size=\"42444800\"] \n  18 -> 19 [size =\"42444800\"]\n  19 [size=\"75153920\", alpha=\"0.10\", expect_size=\"30061568\"] \n  19 -> 20 [size =\"30061568\"]\n  20 [size=\"81978880\", alpha=\"0.19\", expect_size=\"32791552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85335040\", alpha=\"0.07\", expect_size=\"34134016\"] \n  1 -> 8 [size =\"34134016\"]\n  1 -> 12 [size =\"34134016\"]\n  1 -> 13 [size =\"34134016\"]\n  1 -> 15 [size =\"34134016\"]\n  2 [size=\"78397440\", alpha=\"0.17\", expect_size=\"31358976\"] \n  2 -> 10 [size =\"31358976\"]\n  2 -> 17 [size =\"31358976\"]\n  3 [size=\"28928000\", alpha=\"0.10\", expect_size=\"11571200\"] \n  3 -> 9 [size =\"11571200\"]\n  3 -> 11 [size =\"11571200\"]\n  3 -> 12 [size =\"11571200\"]\n  3 -> 14 [size =\"11571200\"]\n  3 -> 15 [size =\"11571200\"]\n  4 [size=\"40857600\", alpha=\"0.04\", expect_size=\"16343040\"] \n  4 -> 7 [size =\"16343040\"]\n  4 -> 13 [size =\"16343040\"]\n  4 -> 16 [size =\"16343040\"]\n  5 [size=\"35630080\", alpha=\"0.06\", expect_size=\"14252032\"] \n  5 -> 7 [size =\"14252032\"]\n  5 -> 9 [size =\"14252032\"]\n  5 -> 13 [size =\"14252032\"]\n  5 -> 15 [size =\"14252032\"]\n  5 -> 16 [size =\"14252032\"]\n  6 [size=\"69542400\", alpha=\"0.14\", expect_size=\"27816960\"] \n  6 -> 9 [size =\"27816960\"]\n  6 -> 12 [size =\"27816960\"]\n  6 -> 16 [size =\"27816960\"]\n  7 [size=\"71608320\", alpha=\"0.13\", expect_size=\"28643328\"] \n  7 -> 19 [size =\"28643328\"]\n  8 [size=\"107758080\", alpha=\"0.05\", expect_size=\"43103232\"] \n  8 -> 18 [size =\"43103232\"]\n  9 [size=\"108577280\", alpha=\"0.10\", expect_size=\"43430912\"] \n  9 -> 18 [size =\"43430912\"]\n  10 [size=\"61980160\", alpha=\"0.08\", expect_size=\"24792064\"] \n  10 -> 18 [size =\"24792064\"]\n  10 -> 20 [size =\"24792064\"]\n  11 [size=\"75855360\", alpha=\"0.07\", expect_size=\"30342144\"] \n  11 -> 18 [size =\"30342144\"]\n  12 [size=\"114344960\", alpha=\"0.08\", expect_size=\"45737984\"] \n  13 [size=\"99123200\", alpha=\"0.00\", expect_size=\"39649280\"] \n  13 -> 20 [size =\"39649280\"]\n  14 [size=\"41943040\", alpha=\"0.20\", expect_size=\"16777216\"] \n  15 [size=\"65943040\", alpha=\"0.14\", expect_size=\"26377216\"] \n  15 -> 19 [size =\"26377216\"]\n  16 [size=\"101089280\", alpha=\"0.05\", expect_size=\"40435712\"] \n  16 -> 18 [size =\"40435712\"]\n  17 [size=\"63444480\", alpha=\"0.05\", expect_size=\"25377792\"] \n  17 -> 20 [size =\"25377792\"]\n  18 [size=\"20436480\", alpha=\"0.15\", expect_size=\"8174592\"] \n  19 [size=\"51041280\", alpha=\"0.16\", expect_size=\"20416512\"] \n  20 [size=\"110384640\", alpha=\"0.02\", expect_size=\"44153856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47060992\", alpha=\"0.01\", expect_size=\"23530496\"] \n  1 -> 12 [size =\"23530496\"]\n  1 -> 14 [size =\"23530496\"]\n  2 [size=\"99524608\", alpha=\"0.05\", expect_size=\"49762304\"] \n  2 -> 12 [size =\"49762304\"]\n  2 -> 13 [size =\"49762304\"]\n  2 -> 14 [size =\"49762304\"]\n  2 -> 17 [size =\"49762304\"]\n  2 -> 18 [size =\"49762304\"]\n  3 [size=\"77154304\", alpha=\"0.02\", expect_size=\"38577152\"] \n  3 -> 12 [size =\"38577152\"]\n  3 -> 15 [size =\"38577152\"]\n  3 -> 16 [size =\"38577152\"]\n  4 [size=\"30701568\", alpha=\"0.19\", expect_size=\"15350784\"] \n  4 -> 12 [size =\"15350784\"]\n  4 -> 14 [size =\"15350784\"]\n  4 -> 18 [size =\"15350784\"]\n  5 [size=\"80003072\", alpha=\"0.10\", expect_size=\"40001536\"] \n  5 -> 12 [size =\"40001536\"]\n  5 -> 14 [size =\"40001536\"]\n  5 -> 16 [size =\"40001536\"]\n  6 [size=\"24516608\", alpha=\"0.12\", expect_size=\"12258304\"] \n  6 -> 13 [size =\"12258304\"]\n  7 [size=\"97095680\", alpha=\"0.10\", expect_size=\"48547840\"] \n  7 -> 13 [size =\"48547840\"]\n  7 -> 16 [size =\"48547840\"]\n  8 [size=\"94668800\", alpha=\"0.06\", expect_size=\"47334400\"] \n  8 -> 13 [size =\"47334400\"]\n  8 -> 14 [size =\"47334400\"]\n  8 -> 18 [size =\"47334400\"]\n  9 [size=\"46493696\", alpha=\"0.12\", expect_size=\"23246848\"] \n  9 -> 12 [size =\"23246848\"]\n  9 -> 14 [size =\"23246848\"]\n  9 -> 16 [size =\"23246848\"]\n  9 -> 18 [size =\"23246848\"]\n  10 [size=\"68308992\", alpha=\"0.03\", expect_size=\"34154496\"] \n  10 -> 13 [size =\"34154496\"]\n  10 -> 15 [size =\"34154496\"]\n  10 -> 16 [size =\"34154496\"]\n  11 [size=\"81817600\", alpha=\"0.11\", expect_size=\"40908800\"] \n  11 -> 12 [size =\"40908800\"]\n  11 -> 19 [size =\"40908800\"]\n  12 [size=\"86935552\", alpha=\"0.14\", expect_size=\"43467776\"] \n  13 [size=\"16347136\", alpha=\"0.19\", expect_size=\"8173568\"] \n  14 [size=\"25509888\", alpha=\"0.02\", expect_size=\"12754944\"] \n  15 [size=\"22003712\", alpha=\"0.02\", expect_size=\"11001856\"] \n  16 [size=\"68835328\", alpha=\"0.02\", expect_size=\"34417664\"] \n  17 [size=\"30169088\", alpha=\"0.09\", expect_size=\"15084544\"] \n  18 [size=\"77570048\", alpha=\"0.16\", expect_size=\"38785024\"] \n  18 -> 20 [size =\"38785024\"]\n  19 [size=\"12695552\", alpha=\"0.01\", expect_size=\"6347776\"] \n  19 -> 20 [size =\"6347776\"]\n  20 [size=\"68114432\", alpha=\"0.06\", expect_size=\"34057216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80928768\", alpha=\"0.15\", expect_size=\"40464384\"] \n  1 -> 17 [size =\"40464384\"]\n  1 -> 18 [size =\"40464384\"]\n  1 -> 19 [size =\"40464384\"]\n  2 [size=\"104247296\", alpha=\"0.05\", expect_size=\"52123648\"] \n  2 -> 17 [size =\"52123648\"]\n  2 -> 18 [size =\"52123648\"]\n  2 -> 19 [size =\"52123648\"]\n  3 [size=\"44480512\", alpha=\"0.15\", expect_size=\"22240256\"] \n  3 -> 17 [size =\"22240256\"]\n  3 -> 18 [size =\"22240256\"]\n  3 -> 19 [size =\"22240256\"]\n  4 [size=\"97077248\", alpha=\"0.05\", expect_size=\"48538624\"] \n  5 [size=\"99389440\", alpha=\"0.07\", expect_size=\"49694720\"] \n  5 -> 18 [size =\"49694720\"]\n  5 -> 20 [size =\"49694720\"]\n  6 [size=\"12367872\", alpha=\"0.16\", expect_size=\"6183936\"] \n  6 -> 17 [size =\"6183936\"]\n  6 -> 20 [size =\"6183936\"]\n  7 [size=\"32110592\", alpha=\"0.05\", expect_size=\"16055296\"] \n  7 -> 17 [size =\"16055296\"]\n  8 [size=\"80072704\", alpha=\"0.06\", expect_size=\"40036352\"] \n  8 -> 17 [size =\"40036352\"]\n  8 -> 19 [size =\"40036352\"]\n  8 -> 20 [size =\"40036352\"]\n  9 [size=\"78745600\", alpha=\"0.09\", expect_size=\"39372800\"] \n  9 -> 17 [size =\"39372800\"]\n  9 -> 18 [size =\"39372800\"]\n  9 -> 19 [size =\"39372800\"]\n  9 -> 20 [size =\"39372800\"]\n  10 [size=\"76937216\", alpha=\"0.02\", expect_size=\"38468608\"] \n  10 -> 19 [size =\"38468608\"]\n  10 -> 20 [size =\"38468608\"]\n  11 [size=\"67258368\", alpha=\"0.02\", expect_size=\"33629184\"] \n  11 -> 17 [size =\"33629184\"]\n  11 -> 18 [size =\"33629184\"]\n  11 -> 19 [size =\"33629184\"]\n  11 -> 20 [size =\"33629184\"]\n  12 [size=\"43587584\", alpha=\"0.16\", expect_size=\"21793792\"] \n  12 -> 17 [size =\"21793792\"]\n  12 -> 18 [size =\"21793792\"]\n  12 -> 19 [size =\"21793792\"]\n  12 -> 20 [size =\"21793792\"]\n  13 [size=\"65693696\", alpha=\"0.13\", expect_size=\"32846848\"] \n  13 -> 17 [size =\"32846848\"]\n  13 -> 18 [size =\"32846848\"]\n  13 -> 19 [size =\"32846848\"]\n  14 [size=\"41867264\", alpha=\"0.13\", expect_size=\"20933632\"] \n  14 -> 17 [size =\"20933632\"]\n  14 -> 18 [size =\"20933632\"]\n  14 -> 19 [size =\"20933632\"]\n  14 -> 20 [size =\"20933632\"]\n  15 [size=\"67117056\", alpha=\"0.06\", expect_size=\"33558528\"] \n  15 -> 18 [size =\"33558528\"]\n  15 -> 18 [size =\"33558528\"]\n  15 -> 19 [size =\"33558528\"]\n  16 [size=\"102264832\", alpha=\"0.07\", expect_size=\"51132416\"] \n  16 -> 17 [size =\"51132416\"]\n  16 -> 18 [size =\"51132416\"]\n  16 -> 19 [size =\"51132416\"]\n  16 -> 20 [size =\"51132416\"]\n  17 [size=\"81465344\", alpha=\"0.07\", expect_size=\"40732672\"] \n  18 [size=\"104646656\", alpha=\"0.14\", expect_size=\"52323328\"] \n  19 [size=\"39022592\", alpha=\"0.19\", expect_size=\"19511296\"] \n  20 [size=\"81588224\", alpha=\"0.16\", expect_size=\"40794112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69166080\", alpha=\"0.15\", expect_size=\"27666432\"] \n  1 -> 5 [size =\"27666432\"]\n  2 [size=\"101109760\", alpha=\"0.08\", expect_size=\"40443904\"] \n  2 -> 4 [size =\"40443904\"]\n  3 [size=\"63910400\", alpha=\"0.05\", expect_size=\"25564160\"] \n  3 -> 4 [size =\"25564160\"]\n  3 -> 5 [size =\"25564160\"]\n  4 [size=\"19568640\", alpha=\"0.12\", expect_size=\"7827456\"] \n  4 -> 6 [size =\"7827456\"]\n  4 -> 8 [size =\"7827456\"]\n  5 [size=\"58076160\", alpha=\"0.03\", expect_size=\"23230464\"] \n  5 -> 6 [size =\"23230464\"]\n  5 -> 7 [size =\"23230464\"]\n  5 -> 8 [size =\"23230464\"]\n  6 [size=\"70694400\", alpha=\"0.05\", expect_size=\"28277760\"] \n  7 [size=\"31144960\", alpha=\"0.13\", expect_size=\"12457984\"] \n  8 [size=\"53652480\", alpha=\"0.00\", expect_size=\"21460992\"] \n  8 -> 9 [size =\"21460992\"]\n  8 -> 10 [size =\"21460992\"]\n  9 [size=\"80289280\", alpha=\"0.04\", expect_size=\"32115712\"] \n  9 -> 11 [size =\"32115712\"]\n  9 -> 12 [size =\"32115712\"]\n  10 [size=\"94433280\", alpha=\"0.11\", expect_size=\"37773312\"] \n  10 -> 11 [size =\"37773312\"]\n  10 -> 12 [size =\"37773312\"]\n  11 [size=\"15114240\", alpha=\"0.12\", expect_size=\"6045696\"] \n  11 -> 14 [size =\"6045696\"]\n  11 -> 15 [size =\"6045696\"]\n  12 [size=\"106004480\", alpha=\"0.19\", expect_size=\"42401792\"] \n  12 -> 13 [size =\"42401792\"]\n  12 -> 14 [size =\"42401792\"]\n  12 -> 15 [size =\"42401792\"]\n  13 [size=\"32407040\", alpha=\"0.10\", expect_size=\"12962816\"] \n  13 -> 17 [size =\"12962816\"]\n  14 [size=\"60933120\", alpha=\"0.19\", expect_size=\"24373248\"] \n  14 -> 16 [size =\"24373248\"]\n  14 -> 18 [size =\"24373248\"]\n  15 [size=\"15032320\", alpha=\"0.12\", expect_size=\"6012928\"] \n  15 -> 16 [size =\"6012928\"]\n  15 -> 18 [size =\"6012928\"]\n  16 [size=\"33986560\", alpha=\"0.18\", expect_size=\"13594624\"] \n  17 [size=\"66406400\", alpha=\"0.11\", expect_size=\"26562560\"] \n  17 -> 19 [size =\"26562560\"]\n  17 -> 20 [size =\"26562560\"]\n  18 [size=\"25154560\", alpha=\"0.03\", expect_size=\"10061824\"] \n  18 -> 19 [size =\"10061824\"]\n  19 [size=\"27064320\", alpha=\"0.02\", expect_size=\"10825728\"] \n  20 [size=\"48860160\", alpha=\"0.09\", expect_size=\"19544064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85511680\", alpha=\"0.12\", expect_size=\"34204672\"] \n  1 -> 4 [size =\"34204672\"]\n  1 -> 5 [size =\"34204672\"]\n  1 -> 6 [size =\"34204672\"]\n  2 [size=\"38983680\", alpha=\"0.11\", expect_size=\"15593472\"] \n  2 -> 4 [size =\"15593472\"]\n  2 -> 5 [size =\"15593472\"]\n  3 [size=\"87162880\", alpha=\"0.08\", expect_size=\"34865152\"] \n  3 -> 6 [size =\"34865152\"]\n  4 [size=\"13235200\", alpha=\"0.12\", expect_size=\"5294080\"] \n  4 -> 7 [size =\"5294080\"]\n  4 -> 8 [size =\"5294080\"]\n  5 [size=\"109363200\", alpha=\"0.11\", expect_size=\"43745280\"] \n  5 -> 7 [size =\"43745280\"]\n  5 -> 8 [size =\"43745280\"]\n  5 -> 9 [size =\"43745280\"]\n  6 [size=\"101882880\", alpha=\"0.05\", expect_size=\"40753152\"] \n  6 -> 8 [size =\"40753152\"]\n  6 -> 9 [size =\"40753152\"]\n  7 [size=\"46215680\", alpha=\"0.12\", expect_size=\"18486272\"] \n  7 -> 10 [size =\"18486272\"]\n  7 -> 12 [size =\"18486272\"]\n  7 -> 13 [size =\"18486272\"]\n  8 [size=\"21061120\", alpha=\"0.10\", expect_size=\"8424448\"] \n  8 -> 10 [size =\"8424448\"]\n  8 -> 12 [size =\"8424448\"]\n  8 -> 13 [size =\"8424448\"]\n  9 [size=\"51299840\", alpha=\"0.11\", expect_size=\"20519936\"] \n  9 -> 10 [size =\"20519936\"]\n  9 -> 11 [size =\"20519936\"]\n  10 [size=\"105702400\", alpha=\"0.11\", expect_size=\"42280960\"] \n  10 -> 15 [size =\"42280960\"]\n  10 -> 16 [size =\"42280960\"]\n  10 -> 17 [size =\"42280960\"]\n  11 [size=\"91755520\", alpha=\"0.09\", expect_size=\"36702208\"] \n  11 -> 14 [size =\"36702208\"]\n  11 -> 15 [size =\"36702208\"]\n  11 -> 17 [size =\"36702208\"]\n  12 [size=\"43161600\", alpha=\"0.05\", expect_size=\"17264640\"] \n  12 -> 15 [size =\"17264640\"]\n  12 -> 16 [size =\"17264640\"]\n  13 [size=\"110661120\", alpha=\"0.15\", expect_size=\"44264448\"] \n  13 -> 15 [size =\"44264448\"]\n  14 [size=\"41889280\", alpha=\"0.07\", expect_size=\"16755712\"] \n  14 -> 18 [size =\"16755712\"]\n  15 [size=\"111175680\", alpha=\"0.06\", expect_size=\"44470272\"] \n  15 -> 18 [size =\"44470272\"]\n  15 -> 19 [size =\"44470272\"]\n  16 [size=\"55872000\", alpha=\"0.07\", expect_size=\"22348800\"] \n  16 -> 18 [size =\"22348800\"]\n  16 -> 19 [size =\"22348800\"]\n  17 [size=\"83855360\", alpha=\"0.02\", expect_size=\"33542144\"] \n  17 -> 19 [size =\"33542144\"]\n  17 -> 20 [size =\"33542144\"]\n  18 [size=\"34449920\", alpha=\"0.09\", expect_size=\"13779968\"] \n  19 [size=\"91376640\", alpha=\"0.18\", expect_size=\"36550656\"] \n  20 [size=\"36820480\", alpha=\"0.03\", expect_size=\"14728192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100024320\", alpha=\"0.06\", expect_size=\"50012160\"] \n  1 -> 11 [size =\"50012160\"]\n  1 -> 15 [size =\"50012160\"]\n  2 [size=\"89020416\", alpha=\"0.04\", expect_size=\"44510208\"] \n  2 -> 13 [size =\"44510208\"]\n  3 [size=\"46778368\", alpha=\"0.18\", expect_size=\"23389184\"] \n  3 -> 10 [size =\"23389184\"]\n  3 -> 16 [size =\"23389184\"]\n  4 [size=\"50659328\", alpha=\"0.18\", expect_size=\"25329664\"] \n  4 -> 11 [size =\"25329664\"]\n  4 -> 14 [size =\"25329664\"]\n  4 -> 16 [size =\"25329664\"]\n  5 [size=\"49651712\", alpha=\"0.12\", expect_size=\"24825856\"] \n  5 -> 10 [size =\"24825856\"]\n  5 -> 11 [size =\"24825856\"]\n  5 -> 13 [size =\"24825856\"]\n  5 -> 14 [size =\"24825856\"]\n  5 -> 15 [size =\"24825856\"]\n  5 -> 16 [size =\"24825856\"]\n  6 [size=\"29016064\", alpha=\"0.13\", expect_size=\"14508032\"] \n  6 -> 11 [size =\"14508032\"]\n  6 -> 13 [size =\"14508032\"]\n  6 -> 13 [size =\"14508032\"]\n  7 [size=\"91086848\", alpha=\"0.09\", expect_size=\"45543424\"] \n  7 -> 10 [size =\"45543424\"]\n  7 -> 11 [size =\"45543424\"]\n  7 -> 12 [size =\"45543424\"]\n  7 -> 14 [size =\"45543424\"]\n  8 [size=\"79548416\", alpha=\"0.10\", expect_size=\"39774208\"] \n  8 -> 10 [size =\"39774208\"]\n  8 -> 16 [size =\"39774208\"]\n  9 [size=\"52854784\", alpha=\"0.12\", expect_size=\"26427392\"] \n  9 -> 10 [size =\"26427392\"]\n  9 -> 12 [size =\"26427392\"]\n  9 -> 14 [size =\"26427392\"]\n  9 -> 15 [size =\"26427392\"]\n  10 [size=\"61876224\", alpha=\"0.19\", expect_size=\"30938112\"] \n  10 -> 20 [size =\"30938112\"]\n  10 -> 20 [size =\"30938112\"]\n  11 [size=\"20744192\", alpha=\"0.06\", expect_size=\"10372096\"] \n  11 -> 17 [size =\"10372096\"]\n  12 [size=\"50987008\", alpha=\"0.17\", expect_size=\"25493504\"] \n  12 -> 19 [size =\"25493504\"]\n  13 [size=\"69419008\", alpha=\"0.13\", expect_size=\"34709504\"] \n  13 -> 17 [size =\"34709504\"]\n  13 -> 19 [size =\"34709504\"]\n  14 [size=\"59162624\", alpha=\"0.04\", expect_size=\"29581312\"] \n  14 -> 19 [size =\"29581312\"]\n  14 -> 19 [size =\"29581312\"]\n  15 [size=\"49186816\", alpha=\"0.04\", expect_size=\"24593408\"] \n  16 [size=\"12234752\", alpha=\"0.19\", expect_size=\"6117376\"] \n  16 -> 18 [size =\"6117376\"]\n  16 -> 20 [size =\"6117376\"]\n  17 [size=\"75139072\", alpha=\"0.08\", expect_size=\"37569536\"] \n  18 [size=\"24909824\", alpha=\"0.02\", expect_size=\"12454912\"] \n  19 [size=\"70785024\", alpha=\"0.02\", expect_size=\"35392512\"] \n  20 [size=\"32292864\", alpha=\"0.19\", expect_size=\"16146432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23649280\", alpha=\"0.01\", expect_size=\"9459712\"] \n  1 -> 3 [size =\"9459712\"]\n  1 -> 4 [size =\"9459712\"]\n  1 -> 5 [size =\"9459712\"]\n  1 -> 6 [size =\"9459712\"]\n  2 [size=\"109544960\", alpha=\"0.14\", expect_size=\"43817984\"] \n  2 -> 3 [size =\"43817984\"]\n  2 -> 4 [size =\"43817984\"]\n  2 -> 5 [size =\"43817984\"]\n  2 -> 6 [size =\"43817984\"]\n  3 [size=\"33792000\", alpha=\"0.06\", expect_size=\"13516800\"] \n  3 -> 7 [size =\"13516800\"]\n  3 -> 8 [size =\"13516800\"]\n  4 [size=\"109624320\", alpha=\"0.11\", expect_size=\"43849728\"] \n  4 -> 7 [size =\"43849728\"]\n  4 -> 8 [size =\"43849728\"]\n  4 -> 10 [size =\"43849728\"]\n  5 [size=\"79938560\", alpha=\"0.19\", expect_size=\"31975424\"] \n  5 -> 8 [size =\"31975424\"]\n  5 -> 10 [size =\"31975424\"]\n  6 [size=\"114516480\", alpha=\"0.03\", expect_size=\"45806592\"] \n  6 -> 7 [size =\"45806592\"]\n  6 -> 9 [size =\"45806592\"]\n  7 [size=\"87398400\", alpha=\"0.06\", expect_size=\"34959360\"] \n  7 -> 11 [size =\"34959360\"]\n  7 -> 12 [size =\"34959360\"]\n  8 [size=\"93450240\", alpha=\"0.05\", expect_size=\"37380096\"] \n  8 -> 11 [size =\"37380096\"]\n  8 -> 12 [size =\"37380096\"]\n  9 [size=\"94842880\", alpha=\"0.18\", expect_size=\"37937152\"] \n  9 -> 12 [size =\"37937152\"]\n  10 [size=\"104752640\", alpha=\"0.03\", expect_size=\"41901056\"] \n  10 -> 12 [size =\"41901056\"]\n  11 [size=\"51463680\", alpha=\"0.19\", expect_size=\"20585472\"] \n  11 -> 13 [size =\"20585472\"]\n  11 -> 14 [size =\"20585472\"]\n  11 -> 15 [size =\"20585472\"]\n  11 -> 16 [size =\"20585472\"]\n  12 [size=\"56990720\", alpha=\"0.04\", expect_size=\"22796288\"] \n  12 -> 13 [size =\"22796288\"]\n  12 -> 14 [size =\"22796288\"]\n  12 -> 15 [size =\"22796288\"]\n  12 -> 16 [size =\"22796288\"]\n  13 [size=\"23948800\", alpha=\"0.01\", expect_size=\"9579520\"] \n  13 -> 17 [size =\"9579520\"]\n  13 -> 19 [size =\"9579520\"]\n  14 [size=\"62197760\", alpha=\"0.13\", expect_size=\"24879104\"] \n  14 -> 18 [size =\"24879104\"]\n  14 -> 19 [size =\"24879104\"]\n  15 [size=\"129543680\", alpha=\"0.19\", expect_size=\"51817472\"] \n  15 -> 18 [size =\"51817472\"]\n  15 -> 19 [size =\"51817472\"]\n  16 [size=\"123456000\", alpha=\"0.03\", expect_size=\"49382400\"] \n  16 -> 17 [size =\"49382400\"]\n  16 -> 19 [size =\"49382400\"]\n  17 [size=\"26032640\", alpha=\"0.01\", expect_size=\"10413056\"] \n  17 -> 20 [size =\"10413056\"]\n  18 [size=\"63754240\", alpha=\"0.05\", expect_size=\"25501696\"] \n  18 -> 20 [size =\"25501696\"]\n  19 [size=\"93532160\", alpha=\"0.03\", expect_size=\"37412864\"] \n  20 [size=\"83740160\", alpha=\"0.15\", expect_size=\"33496064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36515840\", alpha=\"0.18\", expect_size=\"18257920\"] \n  1 -> 5 [size =\"18257920\"]\n  1 -> 6 [size =\"18257920\"]\n  1 -> 7 [size =\"18257920\"]\n  2 [size=\"78700544\", alpha=\"0.01\", expect_size=\"39350272\"] \n  2 -> 5 [size =\"39350272\"]\n  2 -> 6 [size =\"39350272\"]\n  2 -> 7 [size =\"39350272\"]\n  3 [size=\"13365248\", alpha=\"0.07\", expect_size=\"6682624\"] \n  3 -> 5 [size =\"6682624\"]\n  3 -> 6 [size =\"6682624\"]\n  3 -> 7 [size =\"6682624\"]\n  4 [size=\"34381824\", alpha=\"0.03\", expect_size=\"17190912\"] \n  4 -> 5 [size =\"17190912\"]\n  4 -> 6 [size =\"17190912\"]\n  4 -> 7 [size =\"17190912\"]\n  5 [size=\"54763520\", alpha=\"0.19\", expect_size=\"27381760\"] \n  5 -> 8 [size =\"27381760\"]\n  5 -> 9 [size =\"27381760\"]\n  5 -> 10 [size =\"27381760\"]\n  6 [size=\"64403456\", alpha=\"0.09\", expect_size=\"32201728\"] \n  6 -> 10 [size =\"32201728\"]\n  7 [size=\"24733696\", alpha=\"0.07\", expect_size=\"12366848\"] \n  7 -> 9 [size =\"12366848\"]\n  7 -> 10 [size =\"12366848\"]\n  8 [size=\"79595520\", alpha=\"0.07\", expect_size=\"39797760\"] \n  8 -> 11 [size =\"39797760\"]\n  8 -> 12 [size =\"39797760\"]\n  8 -> 14 [size =\"39797760\"]\n  9 [size=\"11495424\", alpha=\"0.08\", expect_size=\"5747712\"] \n  9 -> 12 [size =\"5747712\"]\n  9 -> 14 [size =\"5747712\"]\n  10 [size=\"37496832\", alpha=\"0.09\", expect_size=\"18748416\"] \n  10 -> 11 [size =\"18748416\"]\n  10 -> 12 [size =\"18748416\"]\n  10 -> 13 [size =\"18748416\"]\n  10 -> 14 [size =\"18748416\"]\n  11 [size=\"56823808\", alpha=\"0.03\", expect_size=\"28411904\"] \n  11 -> 17 [size =\"28411904\"]\n  12 [size=\"49145856\", alpha=\"0.10\", expect_size=\"24572928\"] \n  12 -> 17 [size =\"24572928\"]\n  13 [size=\"52979712\", alpha=\"0.06\", expect_size=\"26489856\"] \n  13 -> 15 [size =\"26489856\"]\n  13 -> 17 [size =\"26489856\"]\n  14 [size=\"87226368\", alpha=\"0.20\", expect_size=\"43613184\"] \n  14 -> 16 [size =\"43613184\"]\n  14 -> 17 [size =\"43613184\"]\n  15 [size=\"103100416\", alpha=\"0.18\", expect_size=\"51550208\"] \n  15 -> 19 [size =\"51550208\"]\n  15 -> 20 [size =\"51550208\"]\n  16 [size=\"99254272\", alpha=\"0.14\", expect_size=\"49627136\"] \n  16 -> 18 [size =\"49627136\"]\n  16 -> 19 [size =\"49627136\"]\n  16 -> 20 [size =\"49627136\"]\n  17 [size=\"47929344\", alpha=\"0.06\", expect_size=\"23964672\"] \n  17 -> 19 [size =\"23964672\"]\n  17 -> 20 [size =\"23964672\"]\n  18 [size=\"79054848\", alpha=\"0.13\", expect_size=\"39527424\"] \n  19 [size=\"17987584\", alpha=\"0.16\", expect_size=\"8993792\"] \n  20 [size=\"54120448\", alpha=\"0.13\", expect_size=\"27060224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25958400\", alpha=\"0.14\", expect_size=\"10383360\"] \n  1 -> 2 [size =\"10383360\"]\n  2 [size=\"37153280\", alpha=\"0.01\", expect_size=\"14861312\"] \n  2 -> 3 [size =\"14861312\"]\n  3 [size=\"43230720\", alpha=\"0.02\", expect_size=\"17292288\"] \n  3 -> 4 [size =\"17292288\"]\n  4 [size=\"70581760\", alpha=\"0.11\", expect_size=\"28232704\"] \n  4 -> 5 [size =\"28232704\"]\n  5 [size=\"53698560\", alpha=\"0.18\", expect_size=\"21479424\"] \n  5 -> 6 [size =\"21479424\"]\n  6 [size=\"108029440\", alpha=\"0.18\", expect_size=\"43211776\"] \n  6 -> 7 [size =\"43211776\"]\n  7 [size=\"81879040\", alpha=\"0.06\", expect_size=\"32751616\"] \n  7 -> 8 [size =\"32751616\"]\n  8 [size=\"66050560\", alpha=\"0.13\", expect_size=\"26420224\"] \n  8 -> 9 [size =\"26420224\"]\n  9 [size=\"53644800\", alpha=\"0.16\", expect_size=\"21457920\"] \n  9 -> 10 [size =\"21457920\"]\n  10 [size=\"119626240\", alpha=\"0.14\", expect_size=\"47850496\"] \n  10 -> 11 [size =\"47850496\"]\n  11 [size=\"87951360\", alpha=\"0.07\", expect_size=\"35180544\"] \n  11 -> 12 [size =\"35180544\"]\n  12 [size=\"51612160\", alpha=\"0.10\", expect_size=\"20644864\"] \n  12 -> 13 [size =\"20644864\"]\n  13 [size=\"60129280\", alpha=\"0.03\", expect_size=\"24051712\"] \n  13 -> 14 [size =\"24051712\"]\n  14 [size=\"69731840\", alpha=\"0.18\", expect_size=\"27892736\"] \n  14 -> 15 [size =\"27892736\"]\n  15 [size=\"14604800\", alpha=\"0.01\", expect_size=\"5841920\"] \n  15 -> 16 [size =\"5841920\"]\n  16 [size=\"121290240\", alpha=\"0.06\", expect_size=\"48516096\"] \n  16 -> 17 [size =\"48516096\"]\n  17 [size=\"110149120\", alpha=\"0.03\", expect_size=\"44059648\"] \n  17 -> 18 [size =\"44059648\"]\n  18 [size=\"27788800\", alpha=\"0.07\", expect_size=\"11115520\"] \n  18 -> 19 [size =\"11115520\"]\n  19 [size=\"103288320\", alpha=\"0.08\", expect_size=\"41315328\"] \n  19 -> 20 [size =\"41315328\"]\n  20 [size=\"81896960\", alpha=\"0.12\", expect_size=\"32758784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83220480\", alpha=\"0.05\", expect_size=\"33288192\"] \n  1 -> 2 [size =\"33288192\"]\n  2 [size=\"101053440\", alpha=\"0.05\", expect_size=\"40421376\"] \n  2 -> 3 [size =\"40421376\"]\n  3 [size=\"106618880\", alpha=\"0.19\", expect_size=\"42647552\"] \n  3 -> 4 [size =\"42647552\"]\n  4 [size=\"21954560\", alpha=\"0.14\", expect_size=\"8781824\"] \n  4 -> 5 [size =\"8781824\"]\n  4 -> 6 [size =\"8781824\"]\n  5 [size=\"15621120\", alpha=\"0.02\", expect_size=\"6248448\"] \n  6 [size=\"70126080\", alpha=\"0.06\", expect_size=\"28050432\"] \n  6 -> 7 [size =\"28050432\"]\n  7 [size=\"127677440\", alpha=\"0.03\", expect_size=\"51070976\"] \n  7 -> 8 [size =\"51070976\"]\n  7 -> 9 [size =\"51070976\"]\n  8 [size=\"20349440\", alpha=\"0.20\", expect_size=\"8139776\"] \n  8 -> 10 [size =\"8139776\"]\n  9 [size=\"96212480\", alpha=\"0.08\", expect_size=\"38484992\"] \n  9 -> 11 [size =\"38484992\"]\n  10 [size=\"118763520\", alpha=\"0.18\", expect_size=\"47505408\"] \n  10 -> 12 [size =\"47505408\"]\n  10 -> 13 [size =\"47505408\"]\n  11 [size=\"99036160\", alpha=\"0.06\", expect_size=\"39614464\"] \n  11 -> 12 [size =\"39614464\"]\n  12 [size=\"126090240\", alpha=\"0.07\", expect_size=\"50436096\"] \n  13 [size=\"38021120\", alpha=\"0.19\", expect_size=\"15208448\"] \n  13 -> 14 [size =\"15208448\"]\n  14 [size=\"31664640\", alpha=\"0.10\", expect_size=\"12665856\"] \n  14 -> 15 [size =\"12665856\"]\n  15 [size=\"111311360\", alpha=\"0.15\", expect_size=\"44524544\"] \n  15 -> 16 [size =\"44524544\"]\n  16 [size=\"124933120\", alpha=\"0.03\", expect_size=\"49973248\"] \n  16 -> 17 [size =\"49973248\"]\n  17 [size=\"42211840\", alpha=\"0.12\", expect_size=\"16884736\"] \n  17 -> 18 [size =\"16884736\"]\n  18 [size=\"57269760\", alpha=\"0.16\", expect_size=\"22907904\"] \n  18 -> 19 [size =\"22907904\"]\n  18 -> 20 [size =\"22907904\"]\n  19 [size=\"56816640\", alpha=\"0.20\", expect_size=\"22726656\"] \n  20 [size=\"101760000\", alpha=\"0.07\", expect_size=\"40704000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99075413\", alpha=\"0.05\", expect_size=\"29722624\"] \n  1 -> 2 [size =\"29722624\"]\n  1 -> 3 [size =\"29722624\"]\n  2 [size=\"117848747\", alpha=\"0.08\", expect_size=\"35354624\"] \n  3 [size=\"81742507\", alpha=\"0.04\", expect_size=\"24522752\"] \n  3 -> 4 [size =\"24522752\"]\n  4 [size=\"102888107\", alpha=\"0.12\", expect_size=\"30866432\"] \n  4 -> 5 [size =\"30866432\"]\n  5 [size=\"83991893\", alpha=\"0.05\", expect_size=\"25197568\"] \n  5 -> 6 [size =\"25197568\"]\n  5 -> 7 [size =\"25197568\"]\n  6 [size=\"131986773\", alpha=\"0.15\", expect_size=\"39596032\"] \n  7 [size=\"147022507\", alpha=\"0.09\", expect_size=\"44106752\"] \n  7 -> 8 [size =\"44106752\"]\n  8 [size=\"152497493\", alpha=\"0.09\", expect_size=\"45749248\"] \n  8 -> 9 [size =\"45749248\"]\n  9 [size=\"114387627\", alpha=\"0.17\", expect_size=\"34316288\"] \n  9 -> 10 [size =\"34316288\"]\n  9 -> 11 [size =\"34316288\"]\n  10 [size=\"117442560\", alpha=\"0.19\", expect_size=\"35232768\"] \n  10 -> 12 [size =\"35232768\"]\n  11 [size=\"89354240\", alpha=\"0.05\", expect_size=\"26806272\"] \n  11 -> 12 [size =\"26806272\"]\n  11 -> 13 [size =\"26806272\"]\n  12 [size=\"130959360\", alpha=\"0.03\", expect_size=\"39287808\"] \n  12 -> 14 [size =\"39287808\"]\n  13 [size=\"37573973\", alpha=\"0.13\", expect_size=\"11272192\"] \n  13 -> 14 [size =\"11272192\"]\n  14 [size=\"68751360\", alpha=\"0.03\", expect_size=\"20625408\"] \n  14 -> 15 [size =\"20625408\"]\n  15 [size=\"164174507\", alpha=\"0.02\", expect_size=\"49252352\"] \n  15 -> 16 [size =\"49252352\"]\n  16 [size=\"47418027\", alpha=\"0.09\", expect_size=\"14225408\"] \n  16 -> 17 [size =\"14225408\"]\n  17 [size=\"168546987\", alpha=\"0.19\", expect_size=\"50564096\"] \n  17 -> 18 [size =\"50564096\"]\n  18 [size=\"85292373\", alpha=\"0.18\", expect_size=\"25587712\"] \n  18 -> 19 [size =\"25587712\"]\n  18 -> 20 [size =\"25587712\"]\n  19 [size=\"153483947\", alpha=\"0.02\", expect_size=\"46045184\"] \n  20 [size=\"128696320\", alpha=\"0.14\", expect_size=\"38608896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118673920\", alpha=\"0.14\", expect_size=\"47469568\"] \n  1 -> 10 [size =\"47469568\"]\n  1 -> 13 [size =\"47469568\"]\n  2 [size=\"13125120\", alpha=\"0.12\", expect_size=\"5250048\"] \n  2 -> 11 [size =\"5250048\"]\n  2 -> 15 [size =\"5250048\"]\n  2 -> 16 [size =\"5250048\"]\n  3 [size=\"69248000\", alpha=\"0.13\", expect_size=\"27699200\"] \n  3 -> 10 [size =\"27699200\"]\n  3 -> 12 [size =\"27699200\"]\n  3 -> 13 [size =\"27699200\"]\n  3 -> 15 [size =\"27699200\"]\n  3 -> 16 [size =\"27699200\"]\n  4 [size=\"112688640\", alpha=\"0.13\", expect_size=\"45075456\"] \n  4 -> 15 [size =\"45075456\"]\n  4 -> 16 [size =\"45075456\"]\n  5 [size=\"76083200\", alpha=\"0.17\", expect_size=\"30433280\"] \n  5 -> 10 [size =\"30433280\"]\n  5 -> 14 [size =\"30433280\"]\n  5 -> 15 [size =\"30433280\"]\n  6 [size=\"43379200\", alpha=\"0.09\", expect_size=\"17351680\"] \n  6 -> 10 [size =\"17351680\"]\n  6 -> 13 [size =\"17351680\"]\n  7 [size=\"38963200\", alpha=\"0.02\", expect_size=\"15585280\"] \n  8 [size=\"99010560\", alpha=\"0.12\", expect_size=\"39604224\"] \n  8 -> 10 [size =\"39604224\"]\n  8 -> 11 [size =\"39604224\"]\n  8 -> 14 [size =\"39604224\"]\n  8 -> 15 [size =\"39604224\"]\n  8 -> 17 [size =\"39604224\"]\n  9 [size=\"24901120\", alpha=\"0.05\", expect_size=\"9960448\"] \n  9 -> 12 [size =\"9960448\"]\n  10 [size=\"58920960\", alpha=\"0.17\", expect_size=\"23568384\"] \n  10 -> 20 [size =\"23568384\"]\n  11 [size=\"38814720\", alpha=\"0.10\", expect_size=\"15525888\"] \n  11 -> 19 [size =\"15525888\"]\n  11 -> 20 [size =\"15525888\"]\n  12 [size=\"122693120\", alpha=\"0.05\", expect_size=\"49077248\"] \n  12 -> 19 [size =\"49077248\"]\n  13 [size=\"74872320\", alpha=\"0.18\", expect_size=\"29948928\"] \n  13 -> 19 [size =\"29948928\"]\n  13 -> 20 [size =\"29948928\"]\n  14 [size=\"35330560\", alpha=\"0.01\", expect_size=\"14132224\"] \n  14 -> 20 [size =\"14132224\"]\n  15 [size=\"114608640\", alpha=\"0.10\", expect_size=\"45843456\"] \n  16 [size=\"97802240\", alpha=\"0.04\", expect_size=\"39120896\"] \n  17 [size=\"35660800\", alpha=\"0.11\", expect_size=\"14264320\"] \n  17 -> 18 [size =\"14264320\"]\n  17 -> 20 [size =\"14264320\"]\n  18 [size=\"50204160\", alpha=\"0.09\", expect_size=\"20081664\"] \n  19 [size=\"121272320\", alpha=\"0.18\", expect_size=\"48508928\"] \n  20 [size=\"34339840\", alpha=\"0.00\", expect_size=\"13735936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43687253\", alpha=\"0.07\", expect_size=\"13106176\"] \n  1 -> 8 [size =\"13106176\"]\n  2 [size=\"159590400\", alpha=\"0.17\", expect_size=\"47877120\"] \n  2 -> 5 [size =\"47877120\"]\n  2 -> 6 [size =\"47877120\"]\n  2 -> 8 [size =\"47877120\"]\n  3 [size=\"56046933\", alpha=\"0.06\", expect_size=\"16814080\"] \n  3 -> 5 [size =\"16814080\"]\n  4 [size=\"164638720\", alpha=\"0.06\", expect_size=\"49391616\"] \n  4 -> 7 [size =\"49391616\"]\n  5 [size=\"20930560\", alpha=\"0.11\", expect_size=\"6279168\"] \n  5 -> 9 [size =\"6279168\"]\n  5 -> 11 [size =\"6279168\"]\n  6 [size=\"98348373\", alpha=\"0.09\", expect_size=\"29504512\"] \n  6 -> 10 [size =\"29504512\"]\n  6 -> 11 [size =\"29504512\"]\n  7 [size=\"95965867\", alpha=\"0.10\", expect_size=\"28789760\"] \n  7 -> 9 [size =\"28789760\"]\n  7 -> 11 [size =\"28789760\"]\n  8 [size=\"66276693\", alpha=\"0.18\", expect_size=\"19883008\"] \n  8 -> 9 [size =\"19883008\"]\n  8 -> 10 [size =\"19883008\"]\n  8 -> 11 [size =\"19883008\"]\n  9 [size=\"167823360\", alpha=\"0.14\", expect_size=\"50347008\"] \n  9 -> 13 [size =\"50347008\"]\n  9 -> 14 [size =\"50347008\"]\n  10 [size=\"42014720\", alpha=\"0.06\", expect_size=\"12604416\"] \n  10 -> 12 [size =\"12604416\"]\n  10 -> 15 [size =\"12604416\"]\n  11 [size=\"116800853\", alpha=\"0.17\", expect_size=\"35040256\"] \n  11 -> 12 [size =\"35040256\"]\n  11 -> 13 [size =\"35040256\"]\n  11 -> 14 [size =\"35040256\"]\n  12 [size=\"174595413\", alpha=\"0.15\", expect_size=\"52378624\"] \n  12 -> 17 [size =\"52378624\"]\n  12 -> 18 [size =\"52378624\"]\n  12 -> 19 [size =\"52378624\"]\n  13 [size=\"149684907\", alpha=\"0.19\", expect_size=\"44905472\"] \n  13 -> 17 [size =\"44905472\"]\n  13 -> 18 [size =\"44905472\"]\n  13 -> 19 [size =\"44905472\"]\n  14 [size=\"39994027\", alpha=\"0.02\", expect_size=\"11998208\"] \n  14 -> 16 [size =\"11998208\"]\n  14 -> 17 [size =\"11998208\"]\n  14 -> 18 [size =\"11998208\"]\n  14 -> 19 [size =\"11998208\"]\n  15 [size=\"85678080\", alpha=\"0.16\", expect_size=\"25703424\"] \n  15 -> 17 [size =\"25703424\"]\n  15 -> 18 [size =\"25703424\"]\n  16 [size=\"171813547\", alpha=\"0.05\", expect_size=\"51544064\"] \n  16 -> 20 [size =\"51544064\"]\n  17 [size=\"83124907\", alpha=\"0.04\", expect_size=\"24937472\"] \n  18 [size=\"165031253\", alpha=\"0.16\", expect_size=\"49509376\"] \n  19 [size=\"145899520\", alpha=\"0.01\", expect_size=\"43769856\"] \n  19 -> 20 [size =\"43769856\"]\n  20 [size=\"101099520\", alpha=\"0.02\", expect_size=\"30329856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46701227\", alpha=\"0.16\", expect_size=\"14010368\"] \n  1 -> 2 [size =\"14010368\"]\n  2 [size=\"44346027\", alpha=\"0.18\", expect_size=\"13303808\"] \n  2 -> 3 [size =\"13303808\"]\n  3 [size=\"85357227\", alpha=\"0.06\", expect_size=\"25607168\"] \n  3 -> 4 [size =\"25607168\"]\n  4 [size=\"174141440\", alpha=\"0.03\", expect_size=\"52242432\"] \n  4 -> 5 [size =\"52242432\"]\n  5 [size=\"120896853\", alpha=\"0.01\", expect_size=\"36269056\"] \n  5 -> 6 [size =\"36269056\"]\n  6 [size=\"31682560\", alpha=\"0.09\", expect_size=\"9504768\"] \n  6 -> 7 [size =\"9504768\"]\n  7 [size=\"132096000\", alpha=\"0.00\", expect_size=\"39628800\"] \n  7 -> 8 [size =\"39628800\"]\n  8 [size=\"44233387\", alpha=\"0.01\", expect_size=\"13270016\"] \n  8 -> 9 [size =\"13270016\"]\n  9 [size=\"171421013\", alpha=\"0.08\", expect_size=\"51426304\"] \n  9 -> 10 [size =\"51426304\"]\n  10 [size=\"173247147\", alpha=\"0.16\", expect_size=\"51974144\"] \n  10 -> 11 [size =\"51974144\"]\n  11 [size=\"19947520\", alpha=\"0.19\", expect_size=\"5984256\"] \n  11 -> 12 [size =\"5984256\"]\n  12 [size=\"147851947\", alpha=\"0.18\", expect_size=\"44355584\"] \n  12 -> 13 [size =\"44355584\"]\n  13 [size=\"132867413\", alpha=\"0.12\", expect_size=\"39860224\"] \n  13 -> 14 [size =\"39860224\"]\n  14 [size=\"25722880\", alpha=\"0.15\", expect_size=\"7716864\"] \n  14 -> 15 [size =\"7716864\"]\n  15 [size=\"47059627\", alpha=\"0.05\", expect_size=\"14117888\"] \n  15 -> 16 [size =\"14117888\"]\n  16 [size=\"57497600\", alpha=\"0.13\", expect_size=\"17249280\"] \n  16 -> 17 [size =\"17249280\"]\n  17 [size=\"128802133\", alpha=\"0.10\", expect_size=\"38640640\"] \n  17 -> 18 [size =\"38640640\"]\n  18 [size=\"132590933\", alpha=\"0.01\", expect_size=\"39777280\"] \n  18 -> 19 [size =\"39777280\"]\n  19 [size=\"143469227\", alpha=\"0.17\", expect_size=\"43040768\"] \n  19 -> 20 [size =\"43040768\"]\n  20 [size=\"52340053\", alpha=\"0.10\", expect_size=\"15702016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48508928\", alpha=\"0.16\", expect_size=\"24254464\"] \n  1 -> 11 [size =\"24254464\"]\n  1 -> 12 [size =\"24254464\"]\n  1 -> 15 [size =\"24254464\"]\n  1 -> 15 [size =\"24254464\"]\n  1 -> 17 [size =\"24254464\"]\n  1 -> 20 [size =\"24254464\"]\n  2 [size=\"43462656\", alpha=\"0.04\", expect_size=\"21731328\"] \n  2 -> 11 [size =\"21731328\"]\n  2 -> 12 [size =\"21731328\"]\n  2 -> 14 [size =\"21731328\"]\n  2 -> 15 [size =\"21731328\"]\n  2 -> 19 [size =\"21731328\"]\n  3 [size=\"65064960\", alpha=\"0.09\", expect_size=\"32532480\"] \n  3 -> 11 [size =\"32532480\"]\n  3 -> 12 [size =\"32532480\"]\n  3 -> 14 [size =\"32532480\"]\n  3 -> 15 [size =\"32532480\"]\n  3 -> 16 [size =\"32532480\"]\n  4 [size=\"102600704\", alpha=\"0.08\", expect_size=\"51300352\"] \n  4 -> 11 [size =\"51300352\"]\n  4 -> 12 [size =\"51300352\"]\n  4 -> 14 [size =\"51300352\"]\n  4 -> 16 [size =\"51300352\"]\n  4 -> 18 [size =\"51300352\"]\n  4 -> 19 [size =\"51300352\"]\n  5 [size=\"81598464\", alpha=\"0.17\", expect_size=\"40799232\"] \n  5 -> 11 [size =\"40799232\"]\n  5 -> 12 [size =\"40799232\"]\n  5 -> 14 [size =\"40799232\"]\n  5 -> 16 [size =\"40799232\"]\n  5 -> 19 [size =\"40799232\"]\n  6 [size=\"88743936\", alpha=\"0.17\", expect_size=\"44371968\"] \n  6 -> 11 [size =\"44371968\"]\n  6 -> 12 [size =\"44371968\"]\n  6 -> 14 [size =\"44371968\"]\n  6 -> 19 [size =\"44371968\"]\n  6 -> 19 [size =\"44371968\"]\n  7 [size=\"40271872\", alpha=\"0.14\", expect_size=\"20135936\"] \n  7 -> 11 [size =\"20135936\"]\n  7 -> 12 [size =\"20135936\"]\n  7 -> 14 [size =\"20135936\"]\n  7 -> 15 [size =\"20135936\"]\n  7 -> 19 [size =\"20135936\"]\n  8 [size=\"47804416\", alpha=\"0.17\", expect_size=\"23902208\"] \n  8 -> 11 [size =\"23902208\"]\n  8 -> 13 [size =\"23902208\"]\n  8 -> 15 [size =\"23902208\"]\n  8 -> 19 [size =\"23902208\"]\n  8 -> 19 [size =\"23902208\"]\n  8 -> 20 [size =\"23902208\"]\n  9 [size=\"41656320\", alpha=\"0.20\", expect_size=\"20828160\"] \n  9 -> 12 [size =\"20828160\"]\n  9 -> 14 [size =\"20828160\"]\n  9 -> 15 [size =\"20828160\"]\n  9 -> 20 [size =\"20828160\"]\n  10 [size=\"19847168\", alpha=\"0.00\", expect_size=\"9923584\"] \n  10 -> 11 [size =\"9923584\"]\n  10 -> 12 [size =\"9923584\"]\n  10 -> 14 [size =\"9923584\"]\n  10 -> 15 [size =\"9923584\"]\n  10 -> 19 [size =\"9923584\"]\n  10 -> 20 [size =\"9923584\"]\n  11 [size=\"65452032\", alpha=\"0.12\", expect_size=\"32726016\"] \n  12 [size=\"46172160\", alpha=\"0.14\", expect_size=\"23086080\"] \n  13 [size=\"67160064\", alpha=\"0.08\", expect_size=\"33580032\"] \n  14 [size=\"15556608\", alpha=\"0.15\", expect_size=\"7778304\"] \n  15 [size=\"53661696\", alpha=\"0.00\", expect_size=\"26830848\"] \n  16 [size=\"40914944\", alpha=\"0.16\", expect_size=\"20457472\"] \n  17 [size=\"25565184\", alpha=\"0.00\", expect_size=\"12782592\"] \n  18 [size=\"92092416\", alpha=\"0.08\", expect_size=\"46046208\"] \n  19 [size=\"77645824\", alpha=\"0.19\", expect_size=\"38822912\"] \n  20 [size=\"76158976\", alpha=\"0.07\", expect_size=\"38079488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111608320\", alpha=\"0.04\", expect_size=\"44643328\"] \n  1 -> 4 [size =\"44643328\"]\n  1 -> 5 [size =\"44643328\"]\n  2 [size=\"61957120\", alpha=\"0.06\", expect_size=\"24782848\"] \n  2 -> 5 [size =\"24782848\"]\n  3 [size=\"31508480\", alpha=\"0.15\", expect_size=\"12603392\"] \n  3 -> 4 [size =\"12603392\"]\n  3 -> 6 [size =\"12603392\"]\n  4 [size=\"36318720\", alpha=\"0.08\", expect_size=\"14527488\"] \n  4 -> 8 [size =\"14527488\"]\n  5 [size=\"93946880\", alpha=\"0.10\", expect_size=\"37578752\"] \n  6 [size=\"53719040\", alpha=\"0.03\", expect_size=\"21487616\"] \n  6 -> 7 [size =\"21487616\"]\n  6 -> 9 [size =\"21487616\"]\n  6 -> 10 [size =\"21487616\"]\n  7 [size=\"58178560\", alpha=\"0.06\", expect_size=\"23271424\"] \n  7 -> 11 [size =\"23271424\"]\n  8 [size=\"70850560\", alpha=\"0.05\", expect_size=\"28340224\"] \n  8 -> 11 [size =\"28340224\"]\n  8 -> 13 [size =\"28340224\"]\n  8 -> 14 [size =\"28340224\"]\n  9 [size=\"90851840\", alpha=\"0.12\", expect_size=\"36340736\"] \n  10 [size=\"33845760\", alpha=\"0.15\", expect_size=\"13538304\"] \n  10 -> 12 [size =\"13538304\"]\n  10 -> 13 [size =\"13538304\"]\n  10 -> 14 [size =\"13538304\"]\n  11 [size=\"128368640\", alpha=\"0.12\", expect_size=\"51347456\"] \n  11 -> 15 [size =\"51347456\"]\n  12 [size=\"34168320\", alpha=\"0.01\", expect_size=\"13667328\"] \n  13 [size=\"71247360\", alpha=\"0.12\", expect_size=\"28498944\"] \n  13 -> 16 [size =\"28498944\"]\n  14 [size=\"42219520\", alpha=\"0.07\", expect_size=\"16887808\"] \n  14 -> 17 [size =\"16887808\"]\n  15 [size=\"86830080\", alpha=\"0.00\", expect_size=\"34732032\"] \n  15 -> 18 [size =\"34732032\"]\n  16 [size=\"26017280\", alpha=\"0.13\", expect_size=\"10406912\"] \n  17 [size=\"45634560\", alpha=\"0.20\", expect_size=\"18253824\"] \n  17 -> 19 [size =\"18253824\"]\n  17 -> 20 [size =\"18253824\"]\n  18 [size=\"79096320\", alpha=\"0.14\", expect_size=\"31638528\"] \n  19 [size=\"110579200\", alpha=\"0.13\", expect_size=\"44231680\"] \n  20 [size=\"61452800\", alpha=\"0.06\", expect_size=\"24581120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79699968\", alpha=\"0.12\", expect_size=\"39849984\"] \n  1 -> 3 [size =\"39849984\"]\n  2 [size=\"48455680\", alpha=\"0.10\", expect_size=\"24227840\"] \n  3 [size=\"69380096\", alpha=\"0.01\", expect_size=\"34690048\"] \n  3 -> 4 [size =\"34690048\"]\n  3 -> 5 [size =\"34690048\"]\n  4 [size=\"95647744\", alpha=\"0.06\", expect_size=\"47823872\"] \n  4 -> 6 [size =\"47823872\"]\n  5 [size=\"28975104\", alpha=\"0.08\", expect_size=\"14487552\"] \n  6 [size=\"46903296\", alpha=\"0.07\", expect_size=\"23451648\"] \n  6 -> 7 [size =\"23451648\"]\n  6 -> 8 [size =\"23451648\"]\n  7 [size=\"60219392\", alpha=\"0.14\", expect_size=\"30109696\"] \n  7 -> 9 [size =\"30109696\"]\n  8 [size=\"16648192\", alpha=\"0.15\", expect_size=\"8324096\"] \n  8 -> 9 [size =\"8324096\"]\n  9 [size=\"55353344\", alpha=\"0.07\", expect_size=\"27676672\"] \n  9 -> 10 [size =\"27676672\"]\n  10 [size=\"102537216\", alpha=\"0.06\", expect_size=\"51268608\"] \n  10 -> 11 [size =\"51268608\"]\n  11 [size=\"19623936\", alpha=\"0.18\", expect_size=\"9811968\"] \n  11 -> 12 [size =\"9811968\"]\n  12 [size=\"76605440\", alpha=\"0.09\", expect_size=\"38302720\"] \n  12 -> 13 [size =\"38302720\"]\n  12 -> 14 [size =\"38302720\"]\n  13 [size=\"29364224\", alpha=\"0.08\", expect_size=\"14682112\"] \n  14 [size=\"32542720\", alpha=\"0.05\", expect_size=\"16271360\"] \n  14 -> 15 [size =\"16271360\"]\n  15 [size=\"59426816\", alpha=\"0.12\", expect_size=\"29713408\"] \n  15 -> 16 [size =\"29713408\"]\n  15 -> 17 [size =\"29713408\"]\n  16 [size=\"95197184\", alpha=\"0.20\", expect_size=\"47598592\"] \n  16 -> 19 [size =\"47598592\"]\n  17 [size=\"33562624\", alpha=\"0.20\", expect_size=\"16781312\"] \n  17 -> 18 [size =\"16781312\"]\n  17 -> 19 [size =\"16781312\"]\n  18 [size=\"99538944\", alpha=\"0.05\", expect_size=\"49769472\"] \n  18 -> 20 [size =\"49769472\"]\n  19 [size=\"76257280\", alpha=\"0.16\", expect_size=\"38128640\"] \n  20 [size=\"13342720\", alpha=\"0.20\", expect_size=\"6671360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104263680\", alpha=\"0.14\", expect_size=\"52131840\"] \n  1 -> 8 [size =\"52131840\"]\n  1 -> 9 [size =\"52131840\"]\n  1 -> 11 [size =\"52131840\"]\n  1 -> 12 [size =\"52131840\"]\n  2 [size=\"36689920\", alpha=\"0.18\", expect_size=\"18344960\"] \n  2 -> 9 [size =\"18344960\"]\n  2 -> 13 [size =\"18344960\"]\n  2 -> 15 [size =\"18344960\"]\n  3 [size=\"34170880\", alpha=\"0.09\", expect_size=\"17085440\"] \n  3 -> 9 [size =\"17085440\"]\n  3 -> 14 [size =\"17085440\"]\n  4 [size=\"34918400\", alpha=\"0.04\", expect_size=\"17459200\"] \n  4 -> 12 [size =\"17459200\"]\n  4 -> 13 [size =\"17459200\"]\n  4 -> 14 [size =\"17459200\"]\n  5 [size=\"60721152\", alpha=\"0.19\", expect_size=\"30360576\"] \n  5 -> 10 [size =\"30360576\"]\n  5 -> 13 [size =\"30360576\"]\n  5 -> 14 [size =\"30360576\"]\n  5 -> 15 [size =\"30360576\"]\n  5 -> 16 [size =\"30360576\"]\n  6 [size=\"53374976\", alpha=\"0.15\", expect_size=\"26687488\"] \n  6 -> 7 [size =\"26687488\"]\n  6 -> 10 [size =\"26687488\"]\n  6 -> 11 [size =\"26687488\"]\n  6 -> 12 [size =\"26687488\"]\n  6 -> 15 [size =\"26687488\"]\n  7 [size=\"63006720\", alpha=\"0.13\", expect_size=\"31503360\"] \n  8 [size=\"85463040\", alpha=\"0.02\", expect_size=\"42731520\"] \n  9 [size=\"82571264\", alpha=\"0.00\", expect_size=\"41285632\"] \n  9 -> 18 [size =\"41285632\"]\n  9 -> 20 [size =\"41285632\"]\n  10 [size=\"21178368\", alpha=\"0.19\", expect_size=\"10589184\"] \n  10 -> 19 [size =\"10589184\"]\n  11 [size=\"89548800\", alpha=\"0.08\", expect_size=\"44774400\"] \n  12 [size=\"59451392\", alpha=\"0.18\", expect_size=\"29725696\"] \n  12 -> 17 [size =\"29725696\"]\n  13 [size=\"51822592\", alpha=\"0.18\", expect_size=\"25911296\"] \n  14 [size=\"94930944\", alpha=\"0.12\", expect_size=\"47465472\"] \n  15 [size=\"20772864\", alpha=\"0.02\", expect_size=\"10386432\"] \n  16 [size=\"13971456\", alpha=\"0.18\", expect_size=\"6985728\"] \n  17 [size=\"86190080\", alpha=\"0.07\", expect_size=\"43095040\"] \n  18 [size=\"52264960\", alpha=\"0.02\", expect_size=\"26132480\"] \n  19 [size=\"62709760\", alpha=\"0.03\", expect_size=\"31354880\"] \n  20 [size=\"63481856\", alpha=\"0.08\", expect_size=\"31740928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78356480\", alpha=\"0.14\", expect_size=\"31342592\"] \n  1 -> 4 [size =\"31342592\"]\n  2 [size=\"124190720\", alpha=\"0.19\", expect_size=\"49676288\"] \n  2 -> 3 [size =\"49676288\"]\n  2 -> 4 [size =\"49676288\"]\n  3 [size=\"51947520\", alpha=\"0.08\", expect_size=\"20779008\"] \n  4 [size=\"89935360\", alpha=\"0.17\", expect_size=\"35974144\"] \n  4 -> 5 [size =\"35974144\"]\n  5 [size=\"41121280\", alpha=\"0.00\", expect_size=\"16448512\"] \n  5 -> 6 [size =\"16448512\"]\n  5 -> 7 [size =\"16448512\"]\n  6 [size=\"29107200\", alpha=\"0.02\", expect_size=\"11642880\"] \n  6 -> 8 [size =\"11642880\"]\n  7 [size=\"51156480\", alpha=\"0.18\", expect_size=\"20462592\"] \n  7 -> 8 [size =\"20462592\"]\n  7 -> 9 [size =\"20462592\"]\n  8 [size=\"89543680\", alpha=\"0.13\", expect_size=\"35817472\"] \n  8 -> 10 [size =\"35817472\"]\n  9 [size=\"103406080\", alpha=\"0.15\", expect_size=\"41362432\"] \n  10 [size=\"47247360\", alpha=\"0.06\", expect_size=\"18898944\"] \n  10 -> 11 [size =\"18898944\"]\n  10 -> 12 [size =\"18898944\"]\n  11 [size=\"79472640\", alpha=\"0.12\", expect_size=\"31789056\"] \n  12 [size=\"42726400\", alpha=\"0.18\", expect_size=\"17090560\"] \n  12 -> 13 [size =\"17090560\"]\n  13 [size=\"36328960\", alpha=\"0.01\", expect_size=\"14531584\"] \n  13 -> 14 [size =\"14531584\"]\n  13 -> 15 [size =\"14531584\"]\n  14 [size=\"83182080\", alpha=\"0.18\", expect_size=\"33272832\"] \n  14 -> 16 [size =\"33272832\"]\n  14 -> 17 [size =\"33272832\"]\n  15 [size=\"67540480\", alpha=\"0.11\", expect_size=\"27016192\"] \n  16 [size=\"68928000\", alpha=\"0.06\", expect_size=\"27571200\"] \n  16 -> 18 [size =\"27571200\"]\n  16 -> 19 [size =\"27571200\"]\n  17 [size=\"82334720\", alpha=\"0.19\", expect_size=\"32933888\"] \n  17 -> 18 [size =\"32933888\"]\n  18 [size=\"70771200\", alpha=\"0.04\", expect_size=\"28308480\"] \n  19 [size=\"31902720\", alpha=\"0.09\", expect_size=\"12761088\"] \n  19 -> 20 [size =\"12761088\"]\n  20 [size=\"120834560\", alpha=\"0.12\", expect_size=\"48333824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20308480\", alpha=\"0.05\", expect_size=\"8123392\"] \n  1 -> 2 [size =\"8123392\"]\n  2 [size=\"87687680\", alpha=\"0.03\", expect_size=\"35075072\"] \n  2 -> 3 [size =\"35075072\"]\n  3 [size=\"67123200\", alpha=\"0.09\", expect_size=\"26849280\"] \n  3 -> 4 [size =\"26849280\"]\n  4 [size=\"45273600\", alpha=\"0.11\", expect_size=\"18109440\"] \n  4 -> 5 [size =\"18109440\"]\n  5 [size=\"118415360\", alpha=\"0.17\", expect_size=\"47366144\"] \n  5 -> 6 [size =\"47366144\"]\n  6 [size=\"17336320\", alpha=\"0.01\", expect_size=\"6934528\"] \n  6 -> 7 [size =\"6934528\"]\n  7 [size=\"97689600\", alpha=\"0.03\", expect_size=\"39075840\"] \n  7 -> 8 [size =\"39075840\"]\n  8 [size=\"45560320\", alpha=\"0.00\", expect_size=\"18224128\"] \n  8 -> 9 [size =\"18224128\"]\n  9 [size=\"37754880\", alpha=\"0.18\", expect_size=\"15101952\"] \n  9 -> 10 [size =\"15101952\"]\n  10 [size=\"119851520\", alpha=\"0.13\", expect_size=\"47940608\"] \n  10 -> 11 [size =\"47940608\"]\n  11 [size=\"57792000\", alpha=\"0.18\", expect_size=\"23116800\"] \n  11 -> 12 [size =\"23116800\"]\n  12 [size=\"87905280\", alpha=\"0.03\", expect_size=\"35162112\"] \n  12 -> 13 [size =\"35162112\"]\n  13 [size=\"107596800\", alpha=\"0.14\", expect_size=\"43038720\"] \n  13 -> 14 [size =\"43038720\"]\n  14 [size=\"41807360\", alpha=\"0.06\", expect_size=\"16722944\"] \n  14 -> 15 [size =\"16722944\"]\n  15 [size=\"108170240\", alpha=\"0.06\", expect_size=\"43268096\"] \n  15 -> 16 [size =\"43268096\"]\n  16 [size=\"89072640\", alpha=\"0.18\", expect_size=\"35629056\"] \n  16 -> 17 [size =\"35629056\"]\n  17 [size=\"96345600\", alpha=\"0.13\", expect_size=\"38538240\"] \n  17 -> 18 [size =\"38538240\"]\n  18 [size=\"114472960\", alpha=\"0.20\", expect_size=\"45789184\"] \n  18 -> 19 [size =\"45789184\"]\n  19 [size=\"116935680\", alpha=\"0.10\", expect_size=\"46774272\"] \n  19 -> 20 [size =\"46774272\"]\n  20 [size=\"104627200\", alpha=\"0.01\", expect_size=\"41850880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62242133\", alpha=\"0.10\", expect_size=\"18672640\"] \n  1 -> 2 [size =\"18672640\"]\n  2 [size=\"34396160\", alpha=\"0.14\", expect_size=\"10318848\"] \n  2 -> 3 [size =\"10318848\"]\n  3 [size=\"155077973\", alpha=\"0.07\", expect_size=\"46523392\"] \n  3 -> 4 [size =\"46523392\"]\n  4 [size=\"43264000\", alpha=\"0.17\", expect_size=\"12979200\"] \n  4 -> 5 [size =\"12979200\"]\n  5 [size=\"163345067\", alpha=\"0.18\", expect_size=\"49003520\"] \n  5 -> 6 [size =\"49003520\"]\n  6 [size=\"143056213\", alpha=\"0.07\", expect_size=\"42916864\"] \n  6 -> 7 [size =\"42916864\"]\n  7 [size=\"149080747\", alpha=\"0.07\", expect_size=\"44724224\"] \n  7 -> 8 [size =\"44724224\"]\n  7 -> 9 [size =\"44724224\"]\n  8 [size=\"149650773\", alpha=\"0.02\", expect_size=\"44895232\"] \n  8 -> 10 [size =\"44895232\"]\n  9 [size=\"31580160\", alpha=\"0.03\", expect_size=\"9474048\"] \n  10 [size=\"19776853\", alpha=\"0.14\", expect_size=\"5933056\"] \n  10 -> 11 [size =\"5933056\"]\n  10 -> 12 [size =\"5933056\"]\n  11 [size=\"123596800\", alpha=\"0.05\", expect_size=\"37079040\"] \n  11 -> 13 [size =\"37079040\"]\n  12 [size=\"46383787\", alpha=\"0.11\", expect_size=\"13915136\"] \n  13 [size=\"155576320\", alpha=\"0.14\", expect_size=\"46672896\"] \n  13 -> 14 [size =\"46672896\"]\n  13 -> 15 [size =\"46672896\"]\n  14 [size=\"55077547\", alpha=\"0.16\", expect_size=\"16523264\"] \n  15 [size=\"33355093\", alpha=\"0.08\", expect_size=\"10006528\"] \n  15 -> 16 [size =\"10006528\"]\n  16 [size=\"172130987\", alpha=\"0.07\", expect_size=\"51639296\"] \n  16 -> 17 [size =\"51639296\"]\n  16 -> 18 [size =\"51639296\"]\n  17 [size=\"66051413\", alpha=\"0.15\", expect_size=\"19815424\"] \n  17 -> 19 [size =\"19815424\"]\n  18 [size=\"118476800\", alpha=\"0.10\", expect_size=\"35543040\"] \n  18 -> 20 [size =\"35543040\"]\n  19 [size=\"134277120\", alpha=\"0.02\", expect_size=\"40283136\"] \n  20 [size=\"161426773\", alpha=\"0.16\", expect_size=\"48428032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19412480\", alpha=\"0.09\", expect_size=\"7764992\"] \n  1 -> 8 [size =\"7764992\"]\n  1 -> 11 [size =\"7764992\"]\n  1 -> 13 [size =\"7764992\"]\n  2 [size=\"32509440\", alpha=\"0.17\", expect_size=\"13003776\"] \n  2 -> 9 [size =\"13003776\"]\n  2 -> 10 [size =\"13003776\"]\n  2 -> 14 [size =\"13003776\"]\n  3 [size=\"63449600\", alpha=\"0.05\", expect_size=\"25379840\"] \n  3 -> 10 [size =\"25379840\"]\n  3 -> 11 [size =\"25379840\"]\n  3 -> 12 [size =\"25379840\"]\n  3 -> 14 [size =\"25379840\"]\n  4 [size=\"127232000\", alpha=\"0.13\", expect_size=\"50892800\"] \n  4 -> 8 [size =\"50892800\"]\n  4 -> 9 [size =\"50892800\"]\n  4 -> 10 [size =\"50892800\"]\n  4 -> 14 [size =\"50892800\"]\n  5 [size=\"37539840\", alpha=\"0.01\", expect_size=\"15015936\"] \n  5 -> 9 [size =\"15015936\"]\n  5 -> 14 [size =\"15015936\"]\n  6 [size=\"71831040\", alpha=\"0.07\", expect_size=\"28732416\"] \n  6 -> 10 [size =\"28732416\"]\n  6 -> 14 [size =\"28732416\"]\n  7 [size=\"129620480\", alpha=\"0.12\", expect_size=\"51848192\"] \n  7 -> 12 [size =\"51848192\"]\n  8 [size=\"87206400\", alpha=\"0.16\", expect_size=\"34882560\"] \n  8 -> 17 [size =\"34882560\"]\n  8 -> 19 [size =\"34882560\"]\n  8 -> 20 [size =\"34882560\"]\n  9 [size=\"51333120\", alpha=\"0.10\", expect_size=\"20533248\"] \n  9 -> 15 [size =\"20533248\"]\n  9 -> 19 [size =\"20533248\"]\n  10 [size=\"76421120\", alpha=\"0.16\", expect_size=\"30568448\"] \n  10 -> 16 [size =\"30568448\"]\n  10 -> 19 [size =\"30568448\"]\n  11 [size=\"34449920\", alpha=\"0.13\", expect_size=\"13779968\"] \n  11 -> 16 [size =\"13779968\"]\n  11 -> 17 [size =\"13779968\"]\n  11 -> 18 [size =\"13779968\"]\n  11 -> 19 [size =\"13779968\"]\n  12 [size=\"87047680\", alpha=\"0.10\", expect_size=\"34819072\"] \n  12 -> 16 [size =\"34819072\"]\n  12 -> 17 [size =\"34819072\"]\n  13 [size=\"70645760\", alpha=\"0.12\", expect_size=\"28258304\"] \n  13 -> 17 [size =\"28258304\"]\n  14 [size=\"100067840\", alpha=\"0.15\", expect_size=\"40027136\"] \n  14 -> 15 [size =\"40027136\"]\n  14 -> 17 [size =\"40027136\"]\n  14 -> 18 [size =\"40027136\"]\n  14 -> 19 [size =\"40027136\"]\n  15 [size=\"58071040\", alpha=\"0.13\", expect_size=\"23228416\"] \n  16 [size=\"62599680\", alpha=\"0.06\", expect_size=\"25039872\"] \n  17 [size=\"102679040\", alpha=\"0.07\", expect_size=\"41071616\"] \n  18 [size=\"55994880\", alpha=\"0.18\", expect_size=\"22397952\"] \n  19 [size=\"30343680\", alpha=\"0.04\", expect_size=\"12137472\"] \n  20 [size=\"90670080\", alpha=\"0.11\", expect_size=\"36268032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29839360\", alpha=\"0.13\", expect_size=\"11935744\"] \n  1 -> 3 [size =\"11935744\"]\n  1 -> 4 [size =\"11935744\"]\n  2 [size=\"65866240\", alpha=\"0.18\", expect_size=\"26346496\"] \n  2 -> 3 [size =\"26346496\"]\n  2 -> 4 [size =\"26346496\"]\n  3 [size=\"29173760\", alpha=\"0.12\", expect_size=\"11669504\"] \n  4 [size=\"109800960\", alpha=\"0.07\", expect_size=\"43920384\"] \n  4 -> 5 [size =\"43920384\"]\n  5 [size=\"34127360\", alpha=\"0.00\", expect_size=\"13650944\"] \n  5 -> 6 [size =\"13650944\"]\n  5 -> 7 [size =\"13650944\"]\n  6 [size=\"69772800\", alpha=\"0.18\", expect_size=\"27909120\"] \n  6 -> 8 [size =\"27909120\"]\n  6 -> 9 [size =\"27909120\"]\n  7 [size=\"84853760\", alpha=\"0.16\", expect_size=\"33941504\"] \n  7 -> 8 [size =\"33941504\"]\n  7 -> 9 [size =\"33941504\"]\n  8 [size=\"17976320\", alpha=\"0.07\", expect_size=\"7190528\"] \n  8 -> 10 [size =\"7190528\"]\n  9 [size=\"94745600\", alpha=\"0.03\", expect_size=\"37898240\"] \n  9 -> 11 [size =\"37898240\"]\n  10 [size=\"118755840\", alpha=\"0.16\", expect_size=\"47502336\"] \n  10 -> 12 [size =\"47502336\"]\n  10 -> 13 [size =\"47502336\"]\n  11 [size=\"117150720\", alpha=\"0.02\", expect_size=\"46860288\"] \n  11 -> 12 [size =\"46860288\"]\n  12 [size=\"76208640\", alpha=\"0.08\", expect_size=\"30483456\"] \n  12 -> 14 [size =\"30483456\"]\n  12 -> 15 [size =\"30483456\"]\n  13 [size=\"62479360\", alpha=\"0.19\", expect_size=\"24991744\"] \n  13 -> 15 [size =\"24991744\"]\n  14 [size=\"17103360\", alpha=\"0.13\", expect_size=\"6841344\"] \n  15 [size=\"59896320\", alpha=\"0.11\", expect_size=\"23958528\"] \n  15 -> 16 [size =\"23958528\"]\n  16 [size=\"62136320\", alpha=\"0.12\", expect_size=\"24854528\"] \n  16 -> 17 [size =\"24854528\"]\n  17 [size=\"48862720\", alpha=\"0.13\", expect_size=\"19545088\"] \n  17 -> 18 [size =\"19545088\"]\n  17 -> 19 [size =\"19545088\"]\n  18 [size=\"22499840\", alpha=\"0.04\", expect_size=\"8999936\"] \n  18 -> 20 [size =\"8999936\"]\n  19 [size=\"61209600\", alpha=\"0.09\", expect_size=\"24483840\"] \n  19 -> 20 [size =\"24483840\"]\n  20 [size=\"78039040\", alpha=\"0.17\", expect_size=\"31215616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55927467\", alpha=\"0.15\", expect_size=\"16778240\"] \n  1 -> 18 [size =\"16778240\"]\n  1 -> 19 [size =\"16778240\"]\n  1 -> 20 [size =\"16778240\"]\n  2 [size=\"156153173\", alpha=\"0.09\", expect_size=\"46845952\"] \n  2 -> 18 [size =\"46845952\"]\n  2 -> 19 [size =\"46845952\"]\n  3 [size=\"169280853\", alpha=\"0.12\", expect_size=\"50784256\"] \n  3 -> 17 [size =\"50784256\"]\n  3 -> 18 [size =\"50784256\"]\n  4 [size=\"106386773\", alpha=\"0.05\", expect_size=\"31916032\"] \n  4 -> 17 [size =\"31916032\"]\n  4 -> 18 [size =\"31916032\"]\n  4 -> 19 [size =\"31916032\"]\n  5 [size=\"36020907\", alpha=\"0.05\", expect_size=\"10806272\"] \n  5 -> 17 [size =\"10806272\"]\n  5 -> 18 [size =\"10806272\"]\n  5 -> 20 [size =\"10806272\"]\n  6 [size=\"26286080\", alpha=\"0.18\", expect_size=\"7885824\"] \n  6 -> 17 [size =\"7885824\"]\n  6 -> 18 [size =\"7885824\"]\n  6 -> 20 [size =\"7885824\"]\n  7 [size=\"170298027\", alpha=\"0.19\", expect_size=\"51089408\"] \n  7 -> 17 [size =\"51089408\"]\n  7 -> 18 [size =\"51089408\"]\n  7 -> 19 [size =\"51089408\"]\n  7 -> 20 [size =\"51089408\"]\n  8 [size=\"69570560\", alpha=\"0.10\", expect_size=\"20871168\"] \n  8 -> 18 [size =\"20871168\"]\n  8 -> 20 [size =\"20871168\"]\n  9 [size=\"125044053\", alpha=\"0.09\", expect_size=\"37513216\"] \n  9 -> 17 [size =\"37513216\"]\n  9 -> 18 [size =\"37513216\"]\n  9 -> 19 [size =\"37513216\"]\n  9 -> 20 [size =\"37513216\"]\n  10 [size=\"114568533\", alpha=\"0.04\", expect_size=\"34370560\"] \n  10 -> 17 [size =\"34370560\"]\n  10 -> 18 [size =\"34370560\"]\n  10 -> 20 [size =\"34370560\"]\n  10 -> 20 [size =\"34370560\"]\n  11 [size=\"128969387\", alpha=\"0.18\", expect_size=\"38690816\"] \n  11 -> 17 [size =\"38690816\"]\n  11 -> 19 [size =\"38690816\"]\n  12 [size=\"87927467\", alpha=\"0.06\", expect_size=\"26378240\"] \n  12 -> 17 [size =\"26378240\"]\n  12 -> 18 [size =\"26378240\"]\n  12 -> 20 [size =\"26378240\"]\n  13 [size=\"157364907\", alpha=\"0.18\", expect_size=\"47209472\"] \n  13 -> 17 [size =\"47209472\"]\n  13 -> 18 [size =\"47209472\"]\n  13 -> 20 [size =\"47209472\"]\n  14 [size=\"94931627\", alpha=\"0.03\", expect_size=\"28479488\"] \n  14 -> 17 [size =\"28479488\"]\n  14 -> 18 [size =\"28479488\"]\n  14 -> 19 [size =\"28479488\"]\n  14 -> 20 [size =\"28479488\"]\n  15 [size=\"131157333\", alpha=\"0.05\", expect_size=\"39347200\"] \n  15 -> 17 [size =\"39347200\"]\n  15 -> 18 [size =\"39347200\"]\n  15 -> 19 [size =\"39347200\"]\n  15 -> 20 [size =\"39347200\"]\n  16 [size=\"173407573\", alpha=\"0.02\", expect_size=\"52022272\"] \n  16 -> 17 [size =\"52022272\"]\n  16 -> 18 [size =\"52022272\"]\n  17 [size=\"161546240\", alpha=\"0.04\", expect_size=\"48463872\"] \n  18 [size=\"153313280\", alpha=\"0.15\", expect_size=\"45993984\"] \n  19 [size=\"76745387\", alpha=\"0.19\", expect_size=\"23023616\"] \n  20 [size=\"149367467\", alpha=\"0.14\", expect_size=\"44810240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22904832\", alpha=\"0.17\", expect_size=\"11452416\"] \n  1 -> 2 [size =\"11452416\"]\n  2 [size=\"66291712\", alpha=\"0.20\", expect_size=\"33145856\"] \n  2 -> 3 [size =\"33145856\"]\n  3 [size=\"69419008\", alpha=\"0.03\", expect_size=\"34709504\"] \n  3 -> 4 [size =\"34709504\"]\n  4 [size=\"35950592\", alpha=\"0.03\", expect_size=\"17975296\"] \n  4 -> 5 [size =\"17975296\"]\n  5 [size=\"28616704\", alpha=\"0.10\", expect_size=\"14308352\"] \n  5 -> 6 [size =\"14308352\"]\n  6 [size=\"39249920\", alpha=\"0.12\", expect_size=\"19624960\"] \n  6 -> 7 [size =\"19624960\"]\n  7 [size=\"90048512\", alpha=\"0.07\", expect_size=\"45024256\"] \n  7 -> 8 [size =\"45024256\"]\n  8 [size=\"102344704\", alpha=\"0.09\", expect_size=\"51172352\"] \n  8 -> 9 [size =\"51172352\"]\n  9 [size=\"87623680\", alpha=\"0.10\", expect_size=\"43811840\"] \n  9 -> 10 [size =\"43811840\"]\n  10 [size=\"101238784\", alpha=\"0.05\", expect_size=\"50619392\"] \n  10 -> 11 [size =\"50619392\"]\n  11 [size=\"78925824\", alpha=\"0.09\", expect_size=\"39462912\"] \n  11 -> 12 [size =\"39462912\"]\n  12 [size=\"66846720\", alpha=\"0.00\", expect_size=\"33423360\"] \n  12 -> 13 [size =\"33423360\"]\n  13 [size=\"66351104\", alpha=\"0.03\", expect_size=\"33175552\"] \n  13 -> 14 [size =\"33175552\"]\n  14 [size=\"82847744\", alpha=\"0.13\", expect_size=\"41423872\"] \n  14 -> 15 [size =\"41423872\"]\n  15 [size=\"98000896\", alpha=\"0.10\", expect_size=\"49000448\"] \n  15 -> 16 [size =\"49000448\"]\n  16 [size=\"50341888\", alpha=\"0.04\", expect_size=\"25170944\"] \n  16 -> 17 [size =\"25170944\"]\n  17 [size=\"13000704\", alpha=\"0.20\", expect_size=\"6500352\"] \n  17 -> 18 [size =\"6500352\"]\n  18 [size=\"47990784\", alpha=\"0.13\", expect_size=\"23995392\"] \n  18 -> 19 [size =\"23995392\"]\n  19 [size=\"89968640\", alpha=\"0.09\", expect_size=\"44984320\"] \n  19 -> 20 [size =\"44984320\"]\n  20 [size=\"42049536\", alpha=\"0.17\", expect_size=\"21024768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66183680\", alpha=\"0.19\", expect_size=\"26473472\"] \n  1 -> 3 [size =\"26473472\"]\n  2 [size=\"14261760\", alpha=\"0.13\", expect_size=\"5704704\"] \n  3 [size=\"82636800\", alpha=\"0.16\", expect_size=\"33054720\"] \n  3 -> 4 [size =\"33054720\"]\n  4 [size=\"46087680\", alpha=\"0.00\", expect_size=\"18435072\"] \n  4 -> 5 [size =\"18435072\"]\n  4 -> 6 [size =\"18435072\"]\n  5 [size=\"125757440\", alpha=\"0.00\", expect_size=\"50302976\"] \n  6 [size=\"114667520\", alpha=\"0.15\", expect_size=\"45867008\"] \n  6 -> 7 [size =\"45867008\"]\n  6 -> 8 [size =\"45867008\"]\n  7 [size=\"79493120\", alpha=\"0.04\", expect_size=\"31797248\"] \n  7 -> 9 [size =\"31797248\"]\n  8 [size=\"76405760\", alpha=\"0.10\", expect_size=\"30562304\"] \n  9 [size=\"56399360\", alpha=\"0.14\", expect_size=\"22559744\"] \n  9 -> 10 [size =\"22559744\"]\n  9 -> 11 [size =\"22559744\"]\n  10 [size=\"48706560\", alpha=\"0.08\", expect_size=\"19482624\"] \n  10 -> 12 [size =\"19482624\"]\n  11 [size=\"93017600\", alpha=\"0.10\", expect_size=\"37207040\"] \n  12 [size=\"88977920\", alpha=\"0.03\", expect_size=\"35591168\"] \n  12 -> 13 [size =\"35591168\"]\n  13 [size=\"48742400\", alpha=\"0.08\", expect_size=\"19496960\"] \n  13 -> 14 [size =\"19496960\"]\n  13 -> 15 [size =\"19496960\"]\n  14 [size=\"27043840\", alpha=\"0.05\", expect_size=\"10817536\"] \n  14 -> 16 [size =\"10817536\"]\n  14 -> 17 [size =\"10817536\"]\n  15 [size=\"28252160\", alpha=\"0.06\", expect_size=\"11300864\"] \n  16 [size=\"28664320\", alpha=\"0.05\", expect_size=\"11465728\"] \n  16 -> 18 [size =\"11465728\"]\n  17 [size=\"116154880\", alpha=\"0.08\", expect_size=\"46461952\"] \n  17 -> 19 [size =\"46461952\"]\n  18 [size=\"22323200\", alpha=\"0.11\", expect_size=\"8929280\"] \n  18 -> 20 [size =\"8929280\"]\n  19 [size=\"78822400\", alpha=\"0.16\", expect_size=\"31528960\"] \n  20 [size=\"40760320\", alpha=\"0.15\", expect_size=\"16304128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19788800\", alpha=\"0.16\", expect_size=\"7915520\"] \n  1 -> 6 [size =\"7915520\"]\n  1 -> 7 [size =\"7915520\"]\n  1 -> 8 [size =\"7915520\"]\n  2 [size=\"25989120\", alpha=\"0.01\", expect_size=\"10395648\"] \n  2 -> 6 [size =\"10395648\"]\n  2 -> 7 [size =\"10395648\"]\n  2 -> 8 [size =\"10395648\"]\n  3 [size=\"93841920\", alpha=\"0.02\", expect_size=\"37536768\"] \n  3 -> 6 [size =\"37536768\"]\n  3 -> 8 [size =\"37536768\"]\n  4 [size=\"59402240\", alpha=\"0.03\", expect_size=\"23760896\"] \n  4 -> 5 [size =\"23760896\"]\n  4 -> 7 [size =\"23760896\"]\n  5 [size=\"19514880\", alpha=\"0.19\", expect_size=\"7805952\"] \n  6 [size=\"123438080\", alpha=\"0.12\", expect_size=\"49375232\"] \n  6 -> 9 [size =\"49375232\"]\n  6 -> 11 [size =\"49375232\"]\n  7 [size=\"128977920\", alpha=\"0.20\", expect_size=\"51591168\"] \n  7 -> 9 [size =\"51591168\"]\n  7 -> 10 [size =\"51591168\"]\n  7 -> 11 [size =\"51591168\"]\n  8 [size=\"120414720\", alpha=\"0.01\", expect_size=\"48165888\"] \n  8 -> 9 [size =\"48165888\"]\n  8 -> 11 [size =\"48165888\"]\n  9 [size=\"130078720\", alpha=\"0.13\", expect_size=\"52031488\"] \n  10 [size=\"20513280\", alpha=\"0.20\", expect_size=\"8205312\"] \n  10 -> 12 [size =\"8205312\"]\n  10 -> 13 [size =\"8205312\"]\n  10 -> 14 [size =\"8205312\"]\n  11 [size=\"105387520\", alpha=\"0.14\", expect_size=\"42155008\"] \n  11 -> 13 [size =\"42155008\"]\n  11 -> 14 [size =\"42155008\"]\n  12 [size=\"83366400\", alpha=\"0.08\", expect_size=\"33346560\"] \n  12 -> 16 [size =\"33346560\"]\n  13 [size=\"89812480\", alpha=\"0.09\", expect_size=\"35924992\"] \n  13 -> 16 [size =\"35924992\"]\n  13 -> 17 [size =\"35924992\"]\n  14 [size=\"100282880\", alpha=\"0.06\", expect_size=\"40113152\"] \n  14 -> 15 [size =\"40113152\"]\n  14 -> 17 [size =\"40113152\"]\n  15 [size=\"119936000\", alpha=\"0.05\", expect_size=\"47974400\"] \n  15 -> 18 [size =\"47974400\"]\n  15 -> 19 [size =\"47974400\"]\n  15 -> 20 [size =\"47974400\"]\n  16 [size=\"112289280\", alpha=\"0.08\", expect_size=\"44915712\"] \n  17 [size=\"64217600\", alpha=\"0.07\", expect_size=\"25687040\"] \n  17 -> 19 [size =\"25687040\"]\n  17 -> 20 [size =\"25687040\"]\n  18 [size=\"62220800\", alpha=\"0.08\", expect_size=\"24888320\"] \n  19 [size=\"67880960\", alpha=\"0.08\", expect_size=\"27152384\"] \n  20 [size=\"23795200\", alpha=\"0.10\", expect_size=\"9518080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25139200\", alpha=\"0.16\", expect_size=\"12569600\"] \n  1 -> 3 [size =\"12569600\"]\n  2 [size=\"79800320\", alpha=\"0.19\", expect_size=\"39900160\"] \n  2 -> 3 [size =\"39900160\"]\n  3 [size=\"79859712\", alpha=\"0.01\", expect_size=\"39929856\"] \n  3 -> 4 [size =\"39929856\"]\n  4 [size=\"66097152\", alpha=\"0.08\", expect_size=\"33048576\"] \n  4 -> 5 [size =\"33048576\"]\n  5 [size=\"45469696\", alpha=\"0.06\", expect_size=\"22734848\"] \n  5 -> 6 [size =\"22734848\"]\n  6 [size=\"32151552\", alpha=\"0.14\", expect_size=\"16075776\"] \n  6 -> 7 [size =\"16075776\"]\n  6 -> 8 [size =\"16075776\"]\n  7 [size=\"92092416\", alpha=\"0.17\", expect_size=\"46046208\"] \n  7 -> 9 [size =\"46046208\"]\n  7 -> 10 [size =\"46046208\"]\n  8 [size=\"21682176\", alpha=\"0.10\", expect_size=\"10841088\"] \n  8 -> 9 [size =\"10841088\"]\n  8 -> 10 [size =\"10841088\"]\n  9 [size=\"94715904\", alpha=\"0.09\", expect_size=\"47357952\"] \n  9 -> 11 [size =\"47357952\"]\n  10 [size=\"73248768\", alpha=\"0.16\", expect_size=\"36624384\"] \n  10 -> 11 [size =\"36624384\"]\n  10 -> 12 [size =\"36624384\"]\n  11 [size=\"24125440\", alpha=\"0.07\", expect_size=\"12062720\"] \n  11 -> 14 [size =\"12062720\"]\n  12 [size=\"99835904\", alpha=\"0.01\", expect_size=\"49917952\"] \n  12 -> 13 [size =\"49917952\"]\n  13 [size=\"93140992\", alpha=\"0.12\", expect_size=\"46570496\"] \n  13 -> 15 [size =\"46570496\"]\n  13 -> 16 [size =\"46570496\"]\n  14 [size=\"95905792\", alpha=\"0.09\", expect_size=\"47952896\"] \n  14 -> 16 [size =\"47952896\"]\n  15 [size=\"41512960\", alpha=\"0.16\", expect_size=\"20756480\"] \n  15 -> 17 [size =\"20756480\"]\n  15 -> 18 [size =\"20756480\"]\n  16 [size=\"67821568\", alpha=\"0.19\", expect_size=\"33910784\"] \n  16 -> 17 [size =\"33910784\"]\n  17 [size=\"39213056\", alpha=\"0.10\", expect_size=\"19606528\"] \n  17 -> 19 [size =\"19606528\"]\n  18 [size=\"26710016\", alpha=\"0.06\", expect_size=\"13355008\"] \n  18 -> 19 [size =\"13355008\"]\n  19 [size=\"75943936\", alpha=\"0.18\", expect_size=\"37971968\"] \n  19 -> 20 [size =\"37971968\"]\n  20 [size=\"22896640\", alpha=\"0.03\", expect_size=\"11448320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131365547\", alpha=\"0.00\", expect_size=\"39409664\"] \n  1 -> 2 [size =\"39409664\"]\n  2 [size=\"29579947\", alpha=\"0.07\", expect_size=\"8873984\"] \n  2 -> 3 [size =\"8873984\"]\n  3 [size=\"68246187\", alpha=\"0.19\", expect_size=\"20473856\"] \n  3 -> 4 [size =\"20473856\"]\n  4 [size=\"144073387\", alpha=\"0.06\", expect_size=\"43222016\"] \n  4 -> 5 [size =\"43222016\"]\n  5 [size=\"101874347\", alpha=\"0.04\", expect_size=\"30562304\"] \n  5 -> 6 [size =\"30562304\"]\n  6 [size=\"116104533\", alpha=\"0.14\", expect_size=\"34831360\"] \n  6 -> 7 [size =\"34831360\"]\n  7 [size=\"22500693\", alpha=\"0.03\", expect_size=\"6750208\"] \n  7 -> 8 [size =\"6750208\"]\n  8 [size=\"134707200\", alpha=\"0.08\", expect_size=\"40412160\"] \n  8 -> 9 [size =\"40412160\"]\n  9 [size=\"98000213\", alpha=\"0.13\", expect_size=\"29400064\"] \n  9 -> 10 [size =\"29400064\"]\n  10 [size=\"114790400\", alpha=\"0.19\", expect_size=\"34437120\"] \n  10 -> 11 [size =\"34437120\"]\n  11 [size=\"47045973\", alpha=\"0.02\", expect_size=\"14113792\"] \n  11 -> 12 [size =\"14113792\"]\n  12 [size=\"48158720\", alpha=\"0.00\", expect_size=\"14447616\"] \n  12 -> 13 [size =\"14447616\"]\n  13 [size=\"102181547\", alpha=\"0.14\", expect_size=\"30654464\"] \n  13 -> 14 [size =\"30654464\"]\n  14 [size=\"91347627\", alpha=\"0.03\", expect_size=\"27404288\"] \n  14 -> 15 [size =\"27404288\"]\n  15 [size=\"136290987\", alpha=\"0.18\", expect_size=\"40887296\"] \n  15 -> 16 [size =\"40887296\"]\n  16 [size=\"165092693\", alpha=\"0.14\", expect_size=\"49527808\"] \n  16 -> 17 [size =\"49527808\"]\n  17 [size=\"115230720\", alpha=\"0.02\", expect_size=\"34569216\"] \n  17 -> 18 [size =\"34569216\"]\n  18 [size=\"135618560\", alpha=\"0.13\", expect_size=\"40685568\"] \n  18 -> 19 [size =\"40685568\"]\n  19 [size=\"44001280\", alpha=\"0.05\", expect_size=\"13200384\"] \n  19 -> 20 [size =\"13200384\"]\n  20 [size=\"145640107\", alpha=\"0.02\", expect_size=\"43692032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101700267\", alpha=\"0.01\", expect_size=\"30510080\"] \n  1 -> 8 [size =\"30510080\"]\n  1 -> 9 [size =\"30510080\"]\n  1 -> 12 [size =\"30510080\"]\n  2 [size=\"51968000\", alpha=\"0.03\", expect_size=\"15590400\"] \n  2 -> 8 [size =\"15590400\"]\n  2 -> 9 [size =\"15590400\"]\n  2 -> 14 [size =\"15590400\"]\n  3 [size=\"35208533\", alpha=\"0.10\", expect_size=\"10562560\"] \n  3 -> 11 [size =\"10562560\"]\n  4 [size=\"31085227\", alpha=\"0.01\", expect_size=\"9325568\"] \n  4 -> 8 [size =\"9325568\"]\n  4 -> 9 [size =\"9325568\"]\n  4 -> 10 [size =\"9325568\"]\n  4 -> 13 [size =\"9325568\"]\n  4 -> 14 [size =\"9325568\"]\n  5 [size=\"39966720\", alpha=\"0.05\", expect_size=\"11990016\"] \n  5 -> 8 [size =\"11990016\"]\n  5 -> 9 [size =\"11990016\"]\n  5 -> 10 [size =\"11990016\"]\n  5 -> 12 [size =\"11990016\"]\n  5 -> 13 [size =\"11990016\"]\n  5 -> 14 [size =\"11990016\"]\n  6 [size=\"49687893\", alpha=\"0.17\", expect_size=\"14906368\"] \n  6 -> 8 [size =\"14906368\"]\n  6 -> 9 [size =\"14906368\"]\n  6 -> 13 [size =\"14906368\"]\n  6 -> 14 [size =\"14906368\"]\n  7 [size=\"56777387\", alpha=\"0.16\", expect_size=\"17033216\"] \n  7 -> 8 [size =\"17033216\"]\n  7 -> 9 [size =\"17033216\"]\n  8 [size=\"150637227\", alpha=\"0.05\", expect_size=\"45191168\"] \n  8 -> 15 [size =\"45191168\"]\n  8 -> 16 [size =\"45191168\"]\n  8 -> 17 [size =\"45191168\"]\n  9 [size=\"106581333\", alpha=\"0.08\", expect_size=\"31974400\"] \n  9 -> 15 [size =\"31974400\"]\n  10 [size=\"43915947\", alpha=\"0.10\", expect_size=\"13174784\"] \n  10 -> 15 [size =\"13174784\"]\n  10 -> 18 [size =\"13174784\"]\n  10 -> 19 [size =\"13174784\"]\n  10 -> 20 [size =\"13174784\"]\n  11 [size=\"25494187\", alpha=\"0.19\", expect_size=\"7648256\"] \n  11 -> 15 [size =\"7648256\"]\n  11 -> 19 [size =\"7648256\"]\n  12 [size=\"31723520\", alpha=\"0.09\", expect_size=\"9517056\"] \n  12 -> 15 [size =\"9517056\"]\n  12 -> 18 [size =\"9517056\"]\n  13 [size=\"53872640\", alpha=\"0.13\", expect_size=\"16161792\"] \n  13 -> 15 [size =\"16161792\"]\n  13 -> 18 [size =\"16161792\"]\n  14 [size=\"135649280\", alpha=\"0.10\", expect_size=\"40694784\"] \n  14 -> 15 [size =\"40694784\"]\n  14 -> 19 [size =\"40694784\"]\n  15 [size=\"140615680\", alpha=\"0.10\", expect_size=\"42184704\"] \n  16 [size=\"21818027\", alpha=\"0.08\", expect_size=\"6545408\"] \n  17 [size=\"157259093\", alpha=\"0.16\", expect_size=\"47177728\"] \n  18 [size=\"127412907\", alpha=\"0.12\", expect_size=\"38223872\"] \n  19 [size=\"163891200\", alpha=\"0.04\", expect_size=\"49167360\"] \n  20 [size=\"72744960\", alpha=\"0.17\", expect_size=\"21823488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27320320\", alpha=\"0.20\", expect_size=\"8196096\"] \n  1 -> 2 [size =\"8196096\"]\n  2 [size=\"159822507\", alpha=\"0.14\", expect_size=\"47946752\"] \n  2 -> 3 [size =\"47946752\"]\n  3 [size=\"70813013\", alpha=\"0.17\", expect_size=\"21243904\"] \n  3 -> 4 [size =\"21243904\"]\n  4 [size=\"70280533\", alpha=\"0.10\", expect_size=\"21084160\"] \n  4 -> 5 [size =\"21084160\"]\n  5 [size=\"37273600\", alpha=\"0.20\", expect_size=\"11182080\"] \n  5 -> 6 [size =\"11182080\"]\n  6 [size=\"76984320\", alpha=\"0.06\", expect_size=\"23095296\"] \n  6 -> 7 [size =\"23095296\"]\n  7 [size=\"135249920\", alpha=\"0.13\", expect_size=\"40574976\"] \n  7 -> 8 [size =\"40574976\"]\n  8 [size=\"174479360\", alpha=\"0.19\", expect_size=\"52343808\"] \n  8 -> 9 [size =\"52343808\"]\n  9 [size=\"19111253\", alpha=\"0.19\", expect_size=\"5733376\"] \n  9 -> 10 [size =\"5733376\"]\n  10 [size=\"97614507\", alpha=\"0.14\", expect_size=\"29284352\"] \n  10 -> 11 [size =\"29284352\"]\n  11 [size=\"154238293\", alpha=\"0.17\", expect_size=\"46271488\"] \n  11 -> 12 [size =\"46271488\"]\n  12 [size=\"154125653\", alpha=\"0.08\", expect_size=\"46237696\"] \n  12 -> 13 [size =\"46237696\"]\n  13 [size=\"109144747\", alpha=\"0.00\", expect_size=\"32743424\"] \n  13 -> 14 [size =\"32743424\"]\n  14 [size=\"87565653\", alpha=\"0.10\", expect_size=\"26269696\"] \n  14 -> 15 [size =\"26269696\"]\n  15 [size=\"166710613\", alpha=\"0.05\", expect_size=\"50013184\"] \n  15 -> 16 [size =\"50013184\"]\n  16 [size=\"165710507\", alpha=\"0.05\", expect_size=\"49713152\"] \n  16 -> 17 [size =\"49713152\"]\n  17 [size=\"53978453\", alpha=\"0.15\", expect_size=\"16193536\"] \n  17 -> 18 [size =\"16193536\"]\n  18 [size=\"156013227\", alpha=\"0.16\", expect_size=\"46803968\"] \n  18 -> 19 [size =\"46803968\"]\n  19 [size=\"145001813\", alpha=\"0.06\", expect_size=\"43500544\"] \n  19 -> 20 [size =\"43500544\"]\n  20 [size=\"135714133\", alpha=\"0.17\", expect_size=\"40714240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74926080\", alpha=\"0.13\", expect_size=\"29970432\"] \n  1 -> 5 [size =\"29970432\"]\n  1 -> 6 [size =\"29970432\"]\n  2 [size=\"76316160\", alpha=\"0.17\", expect_size=\"30526464\"] \n  2 -> 4 [size =\"30526464\"]\n  2 -> 6 [size =\"30526464\"]\n  2 -> 7 [size =\"30526464\"]\n  3 [size=\"83043840\", alpha=\"0.20\", expect_size=\"33217536\"] \n  3 -> 4 [size =\"33217536\"]\n  4 [size=\"124119040\", alpha=\"0.11\", expect_size=\"49647616\"] \n  5 [size=\"33285120\", alpha=\"0.14\", expect_size=\"13314048\"] \n  6 [size=\"104104960\", alpha=\"0.13\", expect_size=\"41641984\"] \n  6 -> 8 [size =\"41641984\"]\n  6 -> 9 [size =\"41641984\"]\n  6 -> 10 [size =\"41641984\"]\n  7 [size=\"71511040\", alpha=\"0.05\", expect_size=\"28604416\"] \n  7 -> 10 [size =\"28604416\"]\n  8 [size=\"18360320\", alpha=\"0.20\", expect_size=\"7344128\"] \n  8 -> 13 [size =\"7344128\"]\n  9 [size=\"42424320\", alpha=\"0.12\", expect_size=\"16969728\"] \n  9 -> 12 [size =\"16969728\"]\n  9 -> 13 [size =\"16969728\"]\n  10 [size=\"89090560\", alpha=\"0.05\", expect_size=\"35636224\"] \n  10 -> 11 [size =\"35636224\"]\n  10 -> 14 [size =\"35636224\"]\n  11 [size=\"105948160\", alpha=\"0.04\", expect_size=\"42379264\"] \n  11 -> 16 [size =\"42379264\"]\n  11 -> 17 [size =\"42379264\"]\n  11 -> 18 [size =\"42379264\"]\n  12 [size=\"66677760\", alpha=\"0.19\", expect_size=\"26671104\"] \n  12 -> 15 [size =\"26671104\"]\n  12 -> 17 [size =\"26671104\"]\n  13 [size=\"46364160\", alpha=\"0.12\", expect_size=\"18545664\"] \n  13 -> 15 [size =\"18545664\"]\n  14 [size=\"44879360\", alpha=\"0.19\", expect_size=\"17951744\"] \n  14 -> 18 [size =\"17951744\"]\n  15 [size=\"111308800\", alpha=\"0.03\", expect_size=\"44523520\"] \n  15 -> 20 [size =\"44523520\"]\n  16 [size=\"78169600\", alpha=\"0.01\", expect_size=\"31267840\"] \n  16 -> 19 [size =\"31267840\"]\n  17 [size=\"38164480\", alpha=\"0.05\", expect_size=\"15265792\"] \n  18 [size=\"70533120\", alpha=\"0.06\", expect_size=\"28213248\"] \n  19 [size=\"68369920\", alpha=\"0.15\", expect_size=\"27347968\"] \n  20 [size=\"21296640\", alpha=\"0.16\", expect_size=\"8518656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46180352\", alpha=\"0.17\", expect_size=\"23090176\"] \n  1 -> 2 [size =\"23090176\"]\n  2 [size=\"50147328\", alpha=\"0.13\", expect_size=\"25073664\"] \n  2 -> 3 [size =\"25073664\"]\n  3 [size=\"30707712\", alpha=\"0.05\", expect_size=\"15353856\"] \n  3 -> 4 [size =\"15353856\"]\n  4 [size=\"23070720\", alpha=\"0.07\", expect_size=\"11535360\"] \n  4 -> 5 [size =\"11535360\"]\n  5 [size=\"18319360\", alpha=\"0.02\", expect_size=\"9159680\"] \n  5 -> 6 [size =\"9159680\"]\n  6 [size=\"65222656\", alpha=\"0.07\", expect_size=\"32611328\"] \n  6 -> 7 [size =\"32611328\"]\n  7 [size=\"70920192\", alpha=\"0.12\", expect_size=\"35460096\"] \n  7 -> 8 [size =\"35460096\"]\n  8 [size=\"51937280\", alpha=\"0.10\", expect_size=\"25968640\"] \n  8 -> 9 [size =\"25968640\"]\n  9 [size=\"26734592\", alpha=\"0.17\", expect_size=\"13367296\"] \n  9 -> 10 [size =\"13367296\"]\n  10 [size=\"49543168\", alpha=\"0.18\", expect_size=\"24771584\"] \n  10 -> 11 [size =\"24771584\"]\n  11 [size=\"99235840\", alpha=\"0.06\", expect_size=\"49617920\"] \n  11 -> 12 [size =\"49617920\"]\n  12 [size=\"83517440\", alpha=\"0.06\", expect_size=\"41758720\"] \n  12 -> 13 [size =\"41758720\"]\n  13 [size=\"51300352\", alpha=\"0.05\", expect_size=\"25650176\"] \n  13 -> 14 [size =\"25650176\"]\n  14 [size=\"76374016\", alpha=\"0.05\", expect_size=\"38187008\"] \n  14 -> 15 [size =\"38187008\"]\n  15 [size=\"14657536\", alpha=\"0.15\", expect_size=\"7328768\"] \n  15 -> 16 [size =\"7328768\"]\n  16 [size=\"26439680\", alpha=\"0.07\", expect_size=\"13219840\"] \n  16 -> 17 [size =\"13219840\"]\n  17 [size=\"61784064\", alpha=\"0.14\", expect_size=\"30892032\"] \n  17 -> 18 [size =\"30892032\"]\n  18 [size=\"22534144\", alpha=\"0.05\", expect_size=\"11267072\"] \n  18 -> 19 [size =\"11267072\"]\n  19 [size=\"68304896\", alpha=\"0.06\", expect_size=\"34152448\"] \n  19 -> 20 [size =\"34152448\"]\n  20 [size=\"54345728\", alpha=\"0.18\", expect_size=\"27172864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89710592\", alpha=\"0.04\", expect_size=\"44855296\"] \n  1 -> 3 [size =\"44855296\"]\n  2 [size=\"32370688\", alpha=\"0.17\", expect_size=\"16185344\"] \n  2 -> 3 [size =\"16185344\"]\n  3 [size=\"81410048\", alpha=\"0.20\", expect_size=\"40705024\"] \n  3 -> 4 [size =\"40705024\"]\n  4 [size=\"94455808\", alpha=\"0.03\", expect_size=\"47227904\"] \n  4 -> 5 [size =\"47227904\"]\n  5 [size=\"66527232\", alpha=\"0.17\", expect_size=\"33263616\"] \n  5 -> 6 [size =\"33263616\"]\n  6 [size=\"56547328\", alpha=\"0.20\", expect_size=\"28273664\"] \n  6 -> 7 [size =\"28273664\"]\n  7 [size=\"89253888\", alpha=\"0.07\", expect_size=\"44626944\"] \n  7 -> 8 [size =\"44626944\"]\n  7 -> 9 [size =\"44626944\"]\n  8 [size=\"25053184\", alpha=\"0.11\", expect_size=\"12526592\"] \n  8 -> 10 [size =\"12526592\"]\n  9 [size=\"84275200\", alpha=\"0.15\", expect_size=\"42137600\"] \n  9 -> 10 [size =\"42137600\"]\n  10 [size=\"35282944\", alpha=\"0.14\", expect_size=\"17641472\"] \n  10 -> 11 [size =\"17641472\"]\n  10 -> 12 [size =\"17641472\"]\n  11 [size=\"48306176\", alpha=\"0.01\", expect_size=\"24153088\"] \n  12 [size=\"66084864\", alpha=\"0.12\", expect_size=\"33042432\"] \n  12 -> 13 [size =\"33042432\"]\n  13 [size=\"51591168\", alpha=\"0.09\", expect_size=\"25795584\"] \n  13 -> 14 [size =\"25795584\"]\n  14 [size=\"50882560\", alpha=\"0.05\", expect_size=\"25441280\"] \n  14 -> 15 [size =\"25441280\"]\n  15 [size=\"66693120\", alpha=\"0.13\", expect_size=\"33346560\"] \n  15 -> 16 [size =\"33346560\"]\n  15 -> 17 [size =\"33346560\"]\n  16 [size=\"52686848\", alpha=\"0.11\", expect_size=\"26343424\"] \n  16 -> 18 [size =\"26343424\"]\n  16 -> 19 [size =\"26343424\"]\n  17 [size=\"51173376\", alpha=\"0.19\", expect_size=\"25586688\"] \n  18 [size=\"83505152\", alpha=\"0.03\", expect_size=\"41752576\"] \n  18 -> 20 [size =\"41752576\"]\n  19 [size=\"40863744\", alpha=\"0.15\", expect_size=\"20431872\"] \n  19 -> 20 [size =\"20431872\"]\n  20 [size=\"16969728\", alpha=\"0.05\", expect_size=\"8484864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121269760\", alpha=\"0.11\", expect_size=\"48507904\"] \n  1 -> 10 [size =\"48507904\"]\n  1 -> 13 [size =\"48507904\"]\n  1 -> 13 [size =\"48507904\"]\n  1 -> 14 [size =\"48507904\"]\n  2 [size=\"68451840\", alpha=\"0.18\", expect_size=\"27380736\"] \n  2 -> 14 [size =\"27380736\"]\n  3 [size=\"116416000\", alpha=\"0.10\", expect_size=\"46566400\"] \n  3 -> 10 [size =\"46566400\"]\n  3 -> 11 [size =\"46566400\"]\n  3 -> 12 [size =\"46566400\"]\n  4 [size=\"36659200\", alpha=\"0.19\", expect_size=\"14663680\"] \n  4 -> 10 [size =\"14663680\"]\n  4 -> 12 [size =\"14663680\"]\n  4 -> 12 [size =\"14663680\"]\n  4 -> 15 [size =\"14663680\"]\n  5 [size=\"46315520\", alpha=\"0.12\", expect_size=\"18526208\"] \n  5 -> 11 [size =\"18526208\"]\n  6 [size=\"65766400\", alpha=\"0.00\", expect_size=\"26306560\"] \n  6 -> 15 [size =\"26306560\"]\n  7 [size=\"130060800\", alpha=\"0.03\", expect_size=\"52024320\"] \n  7 -> 10 [size =\"52024320\"]\n  7 -> 11 [size =\"52024320\"]\n  8 [size=\"62338560\", alpha=\"0.02\", expect_size=\"24935424\"] \n  8 -> 12 [size =\"24935424\"]\n  8 -> 13 [size =\"24935424\"]\n  9 [size=\"52175360\", alpha=\"0.15\", expect_size=\"20870144\"] \n  9 -> 11 [size =\"20870144\"]\n  9 -> 12 [size =\"20870144\"]\n  9 -> 13 [size =\"20870144\"]\n  10 [size=\"38848000\", alpha=\"0.00\", expect_size=\"15539200\"] \n  10 -> 16 [size =\"15539200\"]\n  10 -> 17 [size =\"15539200\"]\n  10 -> 20 [size =\"15539200\"]\n  11 [size=\"51484160\", alpha=\"0.17\", expect_size=\"20593664\"] \n  11 -> 19 [size =\"20593664\"]\n  11 -> 20 [size =\"20593664\"]\n  12 [size=\"113687040\", alpha=\"0.10\", expect_size=\"45474816\"] \n  12 -> 19 [size =\"45474816\"]\n  13 [size=\"100761600\", alpha=\"0.17\", expect_size=\"40304640\"] \n  13 -> 20 [size =\"40304640\"]\n  14 [size=\"39063040\", alpha=\"0.03\", expect_size=\"15625216\"] \n  14 -> 18 [size =\"15625216\"]\n  14 -> 19 [size =\"15625216\"]\n  15 [size=\"33843200\", alpha=\"0.05\", expect_size=\"13537280\"] \n  15 -> 18 [size =\"13537280\"]\n  16 [size=\"107271680\", alpha=\"0.02\", expect_size=\"42908672\"] \n  17 [size=\"108592640\", alpha=\"0.07\", expect_size=\"43437056\"] \n  18 [size=\"126110720\", alpha=\"0.19\", expect_size=\"50444288\"] \n  19 [size=\"21967360\", alpha=\"0.08\", expect_size=\"8786944\"] \n  20 [size=\"109416960\", alpha=\"0.12\", expect_size=\"43766784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86128640\", alpha=\"0.09\", expect_size=\"25838592\"] \n  1 -> 3 [size =\"25838592\"]\n  2 [size=\"40741547\", alpha=\"0.03\", expect_size=\"12222464\"] \n  2 -> 3 [size =\"12222464\"]\n  3 [size=\"41403733\", alpha=\"0.03\", expect_size=\"12421120\"] \n  3 -> 4 [size =\"12421120\"]\n  4 [size=\"78202880\", alpha=\"0.01\", expect_size=\"23460864\"] \n  4 -> 5 [size =\"23460864\"]\n  5 [size=\"22360747\", alpha=\"0.12\", expect_size=\"6708224\"] \n  5 -> 6 [size =\"6708224\"]\n  5 -> 7 [size =\"6708224\"]\n  6 [size=\"153094827\", alpha=\"0.03\", expect_size=\"45928448\"] \n  7 [size=\"168372907\", alpha=\"0.04\", expect_size=\"50511872\"] \n  7 -> 8 [size =\"50511872\"]\n  8 [size=\"125532160\", alpha=\"0.18\", expect_size=\"37659648\"] \n  8 -> 9 [size =\"37659648\"]\n  8 -> 10 [size =\"37659648\"]\n  9 [size=\"162372267\", alpha=\"0.09\", expect_size=\"48711680\"] \n  9 -> 11 [size =\"48711680\"]\n  10 [size=\"56944640\", alpha=\"0.09\", expect_size=\"17083392\"] \n  11 [size=\"124907520\", alpha=\"0.03\", expect_size=\"37472256\"] \n  11 -> 12 [size =\"37472256\"]\n  11 -> 13 [size =\"37472256\"]\n  12 [size=\"39864320\", alpha=\"0.19\", expect_size=\"11959296\"] \n  12 -> 14 [size =\"11959296\"]\n  12 -> 15 [size =\"11959296\"]\n  13 [size=\"65675947\", alpha=\"0.01\", expect_size=\"19702784\"] \n  13 -> 14 [size =\"19702784\"]\n  13 -> 15 [size =\"19702784\"]\n  14 [size=\"86719147\", alpha=\"0.19\", expect_size=\"26015744\"] \n  15 [size=\"96740693\", alpha=\"0.03\", expect_size=\"29022208\"] \n  15 -> 16 [size =\"29022208\"]\n  16 [size=\"37324800\", alpha=\"0.02\", expect_size=\"11197440\"] \n  16 -> 17 [size =\"11197440\"]\n  16 -> 18 [size =\"11197440\"]\n  17 [size=\"58453333\", alpha=\"0.05\", expect_size=\"17536000\"] \n  18 [size=\"88562347\", alpha=\"0.18\", expect_size=\"26568704\"] \n  18 -> 19 [size =\"26568704\"]\n  19 [size=\"70103040\", alpha=\"0.11\", expect_size=\"21030912\"] \n  19 -> 20 [size =\"21030912\"]\n  20 [size=\"137379840\", alpha=\"0.19\", expect_size=\"41213952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66235733\", alpha=\"0.11\", expect_size=\"19870720\"] \n  1 -> 2 [size =\"19870720\"]\n  2 [size=\"40157867\", alpha=\"0.11\", expect_size=\"12047360\"] \n  2 -> 3 [size =\"12047360\"]\n  3 [size=\"91347627\", alpha=\"0.06\", expect_size=\"27404288\"] \n  3 -> 4 [size =\"27404288\"]\n  4 [size=\"98119680\", alpha=\"0.11\", expect_size=\"29435904\"] \n  4 -> 5 [size =\"29435904\"]\n  5 [size=\"86739627\", alpha=\"0.05\", expect_size=\"26021888\"] \n  5 -> 6 [size =\"26021888\"]\n  6 [size=\"102584320\", alpha=\"0.03\", expect_size=\"30775296\"] \n  6 -> 7 [size =\"30775296\"]\n  7 [size=\"154511360\", alpha=\"0.08\", expect_size=\"46353408\"] \n  7 -> 8 [size =\"46353408\"]\n  8 [size=\"53121707\", alpha=\"0.04\", expect_size=\"15936512\"] \n  8 -> 9 [size =\"15936512\"]\n  9 [size=\"138601813\", alpha=\"0.16\", expect_size=\"41580544\"] \n  9 -> 10 [size =\"41580544\"]\n  10 [size=\"112097280\", alpha=\"0.11\", expect_size=\"33629184\"] \n  10 -> 11 [size =\"33629184\"]\n  11 [size=\"111800320\", alpha=\"0.15\", expect_size=\"33540096\"] \n  11 -> 12 [size =\"33540096\"]\n  12 [size=\"41226240\", alpha=\"0.02\", expect_size=\"12367872\"] \n  12 -> 13 [size =\"12367872\"]\n  13 [size=\"125525333\", alpha=\"0.15\", expect_size=\"37657600\"] \n  13 -> 14 [size =\"37657600\"]\n  14 [size=\"19036160\", alpha=\"0.09\", expect_size=\"5710848\"] \n  14 -> 15 [size =\"5710848\"]\n  15 [size=\"106192213\", alpha=\"0.19\", expect_size=\"31857664\"] \n  15 -> 16 [size =\"31857664\"]\n  16 [size=\"146165760\", alpha=\"0.18\", expect_size=\"43849728\"] \n  16 -> 17 [size =\"43849728\"]\n  17 [size=\"172997973\", alpha=\"0.19\", expect_size=\"51899392\"] \n  17 -> 18 [size =\"51899392\"]\n  18 [size=\"76878507\", alpha=\"0.02\", expect_size=\"23063552\"] \n  18 -> 19 [size =\"23063552\"]\n  19 [size=\"108083200\", alpha=\"0.14\", expect_size=\"32424960\"] \n  19 -> 20 [size =\"32424960\"]\n  20 [size=\"80404480\", alpha=\"0.10\", expect_size=\"24121344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125173760\", alpha=\"0.02\", expect_size=\"37552128\"] \n  1 -> 2 [size =\"37552128\"]\n  2 [size=\"66249387\", alpha=\"0.06\", expect_size=\"19874816\"] \n  2 -> 3 [size =\"19874816\"]\n  2 -> 4 [size =\"19874816\"]\n  3 [size=\"87179947\", alpha=\"0.16\", expect_size=\"26153984\"] \n  3 -> 5 [size =\"26153984\"]\n  4 [size=\"92726613\", alpha=\"0.10\", expect_size=\"27817984\"] \n  5 [size=\"173049173\", alpha=\"0.08\", expect_size=\"51914752\"] \n  5 -> 6 [size =\"51914752\"]\n  6 [size=\"85688320\", alpha=\"0.07\", expect_size=\"25706496\"] \n  6 -> 7 [size =\"25706496\"]\n  7 [size=\"138598400\", alpha=\"0.14\", expect_size=\"41579520\"] \n  7 -> 8 [size =\"41579520\"]\n  8 [size=\"159668907\", alpha=\"0.18\", expect_size=\"47900672\"] \n  8 -> 9 [size =\"47900672\"]\n  9 [size=\"141161813\", alpha=\"0.07\", expect_size=\"42348544\"] \n  9 -> 10 [size =\"42348544\"]\n  10 [size=\"157818880\", alpha=\"0.05\", expect_size=\"47345664\"] \n  10 -> 11 [size =\"47345664\"]\n  10 -> 12 [size =\"47345664\"]\n  11 [size=\"85087573\", alpha=\"0.09\", expect_size=\"25526272\"] \n  11 -> 13 [size =\"25526272\"]\n  12 [size=\"101454507\", alpha=\"0.18\", expect_size=\"30436352\"] \n  12 -> 13 [size =\"30436352\"]\n  13 [size=\"151036587\", alpha=\"0.16\", expect_size=\"45310976\"] \n  13 -> 14 [size =\"45310976\"]\n  14 [size=\"118524587\", alpha=\"0.03\", expect_size=\"35557376\"] \n  14 -> 15 [size =\"35557376\"]\n  15 [size=\"40273920\", alpha=\"0.06\", expect_size=\"12082176\"] \n  15 -> 16 [size =\"12082176\"]\n  15 -> 17 [size =\"12082176\"]\n  16 [size=\"105144320\", alpha=\"0.13\", expect_size=\"31543296\"] \n  16 -> 18 [size =\"31543296\"]\n  16 -> 19 [size =\"31543296\"]\n  17 [size=\"157829120\", alpha=\"0.10\", expect_size=\"47348736\"] \n  17 -> 18 [size =\"47348736\"]\n  17 -> 19 [size =\"47348736\"]\n  18 [size=\"108547413\", alpha=\"0.15\", expect_size=\"32564224\"] \n  18 -> 20 [size =\"32564224\"]\n  19 [size=\"94283093\", alpha=\"0.07\", expect_size=\"28284928\"] \n  19 -> 20 [size =\"28284928\"]\n  20 [size=\"150401707\", alpha=\"0.12\", expect_size=\"45120512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100092587\", alpha=\"0.07\", expect_size=\"30027776\"] \n  1 -> 17 [size =\"30027776\"]\n  1 -> 18 [size =\"30027776\"]\n  2 [size=\"63126187\", alpha=\"0.10\", expect_size=\"18937856\"] \n  2 -> 18 [size =\"18937856\"]\n  2 -> 18 [size =\"18937856\"]\n  2 -> 19 [size =\"18937856\"]\n  2 -> 20 [size =\"18937856\"]\n  3 [size=\"69365760\", alpha=\"0.08\", expect_size=\"20809728\"] \n  3 -> 18 [size =\"20809728\"]\n  3 -> 19 [size =\"20809728\"]\n  4 [size=\"59450027\", alpha=\"0.05\", expect_size=\"17835008\"] \n  5 [size=\"77598720\", alpha=\"0.11\", expect_size=\"23279616\"] \n  5 -> 18 [size =\"23279616\"]\n  5 -> 20 [size =\"23279616\"]\n  6 [size=\"132143787\", alpha=\"0.03\", expect_size=\"39643136\"] \n  6 -> 17 [size =\"39643136\"]\n  6 -> 18 [size =\"39643136\"]\n  6 -> 19 [size =\"39643136\"]\n  6 -> 20 [size =\"39643136\"]\n  7 [size=\"108875093\", alpha=\"0.07\", expect_size=\"32662528\"] \n  8 [size=\"34266453\", alpha=\"0.09\", expect_size=\"10279936\"] \n  8 -> 18 [size =\"10279936\"]\n  8 -> 20 [size =\"10279936\"]\n  9 [size=\"140561067\", alpha=\"0.13\", expect_size=\"42168320\"] \n  10 [size=\"133386240\", alpha=\"0.07\", expect_size=\"40015872\"] \n  10 -> 18 [size =\"40015872\"]\n  11 [size=\"145039360\", alpha=\"0.06\", expect_size=\"43511808\"] \n  11 -> 20 [size =\"43511808\"]\n  12 [size=\"39659520\", alpha=\"0.03\", expect_size=\"11897856\"] \n  13 [size=\"118650880\", alpha=\"0.14\", expect_size=\"35595264\"] \n  13 -> 18 [size =\"35595264\"]\n  13 -> 20 [size =\"35595264\"]\n  14 [size=\"21749760\", alpha=\"0.02\", expect_size=\"6524928\"] \n  14 -> 19 [size =\"6524928\"]\n  15 [size=\"59446613\", alpha=\"0.01\", expect_size=\"17833984\"] \n  15 -> 18 [size =\"17833984\"]\n  16 [size=\"145210027\", alpha=\"0.01\", expect_size=\"43563008\"] \n  17 [size=\"165782187\", alpha=\"0.10\", expect_size=\"49734656\"] \n  18 [size=\"62832640\", alpha=\"0.14\", expect_size=\"18849792\"] \n  19 [size=\"130979840\", alpha=\"0.02\", expect_size=\"39293952\"] \n  20 [size=\"79039147\", alpha=\"0.15\", expect_size=\"23711744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75390293\", alpha=\"0.18\", expect_size=\"22617088\"] \n  1 -> 2 [size =\"22617088\"]\n  2 [size=\"137137493\", alpha=\"0.19\", expect_size=\"41141248\"] \n  2 -> 3 [size =\"41141248\"]\n  3 [size=\"132225707\", alpha=\"0.15\", expect_size=\"39667712\"] \n  3 -> 4 [size =\"39667712\"]\n  4 [size=\"151691947\", alpha=\"0.18\", expect_size=\"45507584\"] \n  4 -> 5 [size =\"45507584\"]\n  4 -> 6 [size =\"45507584\"]\n  5 [size=\"50049707\", alpha=\"0.07\", expect_size=\"15014912\"] \n  5 -> 8 [size =\"15014912\"]\n  6 [size=\"154378240\", alpha=\"0.15\", expect_size=\"46313472\"] \n  6 -> 7 [size =\"46313472\"]\n  6 -> 8 [size =\"46313472\"]\n  7 [size=\"60180480\", alpha=\"0.17\", expect_size=\"18054144\"] \n  7 -> 10 [size =\"18054144\"]\n  8 [size=\"170127360\", alpha=\"0.09\", expect_size=\"51038208\"] \n  8 -> 9 [size =\"51038208\"]\n  8 -> 10 [size =\"51038208\"]\n  9 [size=\"27528533\", alpha=\"0.13\", expect_size=\"8258560\"] \n  10 [size=\"169734827\", alpha=\"0.07\", expect_size=\"50920448\"] \n  10 -> 11 [size =\"50920448\"]\n  11 [size=\"145309013\", alpha=\"0.05\", expect_size=\"43592704\"] \n  11 -> 12 [size =\"43592704\"]\n  11 -> 13 [size =\"43592704\"]\n  12 [size=\"131188053\", alpha=\"0.02\", expect_size=\"39356416\"] \n  12 -> 14 [size =\"39356416\"]\n  13 [size=\"124354560\", alpha=\"0.13\", expect_size=\"37306368\"] \n  13 -> 14 [size =\"37306368\"]\n  14 [size=\"85592747\", alpha=\"0.07\", expect_size=\"25677824\"] \n  14 -> 15 [size =\"25677824\"]\n  14 -> 16 [size =\"25677824\"]\n  15 [size=\"69051733\", alpha=\"0.13\", expect_size=\"20715520\"] \n  15 -> 17 [size =\"20715520\"]\n  16 [size=\"125422933\", alpha=\"0.00\", expect_size=\"37626880\"] \n  16 -> 17 [size =\"37626880\"]\n  17 [size=\"83954347\", alpha=\"0.10\", expect_size=\"25186304\"] \n  17 -> 18 [size =\"25186304\"]\n  17 -> 19 [size =\"25186304\"]\n  18 [size=\"60825600\", alpha=\"0.15\", expect_size=\"18247680\"] \n  19 [size=\"128563200\", alpha=\"0.19\", expect_size=\"38568960\"] \n  19 -> 20 [size =\"38568960\"]\n  20 [size=\"73710933\", alpha=\"0.04\", expect_size=\"22113280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47575040\", alpha=\"0.06\", expect_size=\"19030016\"] \n  1 -> 2 [size =\"19030016\"]\n  1 -> 3 [size =\"19030016\"]\n  2 [size=\"102750720\", alpha=\"0.17\", expect_size=\"41100288\"] \n  3 [size=\"29242880\", alpha=\"0.12\", expect_size=\"11697152\"] \n  3 -> 4 [size =\"11697152\"]\n  4 [size=\"91737600\", alpha=\"0.03\", expect_size=\"36695040\"] \n  4 -> 5 [size =\"36695040\"]\n  5 [size=\"33223680\", alpha=\"0.10\", expect_size=\"13289472\"] \n  5 -> 6 [size =\"13289472\"]\n  6 [size=\"25223680\", alpha=\"0.04\", expect_size=\"10089472\"] \n  6 -> 7 [size =\"10089472\"]\n  7 [size=\"53204480\", alpha=\"0.06\", expect_size=\"21281792\"] \n  7 -> 8 [size =\"21281792\"]\n  8 [size=\"73866240\", alpha=\"0.09\", expect_size=\"29546496\"] \n  8 -> 9 [size =\"29546496\"]\n  9 [size=\"21237760\", alpha=\"0.08\", expect_size=\"8495104\"] \n  9 -> 10 [size =\"8495104\"]\n  9 -> 11 [size =\"8495104\"]\n  10 [size=\"70407680\", alpha=\"0.17\", expect_size=\"28163072\"] \n  10 -> 12 [size =\"28163072\"]\n  11 [size=\"52884480\", alpha=\"0.12\", expect_size=\"21153792\"] \n  12 [size=\"87014400\", alpha=\"0.18\", expect_size=\"34805760\"] \n  12 -> 13 [size =\"34805760\"]\n  12 -> 14 [size =\"34805760\"]\n  13 [size=\"72171520\", alpha=\"0.11\", expect_size=\"28868608\"] \n  13 -> 15 [size =\"28868608\"]\n  14 [size=\"24427520\", alpha=\"0.08\", expect_size=\"9771008\"] \n  15 [size=\"39296000\", alpha=\"0.09\", expect_size=\"15718400\"] \n  15 -> 16 [size =\"15718400\"]\n  15 -> 17 [size =\"15718400\"]\n  16 [size=\"97925120\", alpha=\"0.11\", expect_size=\"39170048\"] \n  17 [size=\"124303360\", alpha=\"0.19\", expect_size=\"49721344\"] \n  17 -> 18 [size =\"49721344\"]\n  18 [size=\"40517120\", alpha=\"0.13\", expect_size=\"16206848\"] \n  18 -> 19 [size =\"16206848\"]\n  18 -> 20 [size =\"16206848\"]\n  19 [size=\"96184320\", alpha=\"0.14\", expect_size=\"38473728\"] \n  20 [size=\"24614400\", alpha=\"0.06\", expect_size=\"9845760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53690880\", alpha=\"0.03\", expect_size=\"21476352\"] \n  1 -> 2 [size =\"21476352\"]\n  1 -> 3 [size =\"21476352\"]\n  2 [size=\"51921920\", alpha=\"0.12\", expect_size=\"20768768\"] \n  3 [size=\"75888640\", alpha=\"0.11\", expect_size=\"30355456\"] \n  3 -> 4 [size =\"30355456\"]\n  4 [size=\"54784000\", alpha=\"0.16\", expect_size=\"21913600\"] \n  4 -> 5 [size =\"21913600\"]\n  4 -> 6 [size =\"21913600\"]\n  5 [size=\"79669760\", alpha=\"0.15\", expect_size=\"31867904\"] \n  6 [size=\"89402880\", alpha=\"0.01\", expect_size=\"35761152\"] \n  6 -> 7 [size =\"35761152\"]\n  7 [size=\"37107200\", alpha=\"0.19\", expect_size=\"14842880\"] \n  7 -> 8 [size =\"14842880\"]\n  8 [size=\"88872960\", alpha=\"0.20\", expect_size=\"35549184\"] \n  8 -> 9 [size =\"35549184\"]\n  9 [size=\"62640640\", alpha=\"0.01\", expect_size=\"25056256\"] \n  9 -> 10 [size =\"25056256\"]\n  9 -> 11 [size =\"25056256\"]\n  10 [size=\"115330560\", alpha=\"0.17\", expect_size=\"46132224\"] \n  10 -> 12 [size =\"46132224\"]\n  11 [size=\"122058240\", alpha=\"0.02\", expect_size=\"48823296\"] \n  11 -> 13 [size =\"48823296\"]\n  12 [size=\"20917760\", alpha=\"0.05\", expect_size=\"8367104\"] \n  13 [size=\"92963840\", alpha=\"0.20\", expect_size=\"37185536\"] \n  13 -> 14 [size =\"37185536\"]\n  14 [size=\"42552320\", alpha=\"0.03\", expect_size=\"17020928\"] \n  14 -> 15 [size =\"17020928\"]\n  15 [size=\"21452800\", alpha=\"0.14\", expect_size=\"8581120\"] \n  15 -> 16 [size =\"8581120\"]\n  15 -> 17 [size =\"8581120\"]\n  16 [size=\"108633600\", alpha=\"0.01\", expect_size=\"43453440\"] \n  17 [size=\"114792960\", alpha=\"0.15\", expect_size=\"45917184\"] \n  17 -> 18 [size =\"45917184\"]\n  17 -> 19 [size =\"45917184\"]\n  18 [size=\"109058560\", alpha=\"0.12\", expect_size=\"43623424\"] \n  18 -> 20 [size =\"43623424\"]\n  19 [size=\"106216960\", alpha=\"0.02\", expect_size=\"42486784\"] \n  20 [size=\"110771200\", alpha=\"0.07\", expect_size=\"44308480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31257600\", alpha=\"0.13\", expect_size=\"12503040\"] \n  1 -> 2 [size =\"12503040\"]\n  2 [size=\"130805760\", alpha=\"0.01\", expect_size=\"52322304\"] \n  2 -> 3 [size =\"52322304\"]\n  3 [size=\"122186240\", alpha=\"0.07\", expect_size=\"48874496\"] \n  3 -> 4 [size =\"48874496\"]\n  3 -> 5 [size =\"48874496\"]\n  4 [size=\"127124480\", alpha=\"0.12\", expect_size=\"50849792\"] \n  4 -> 6 [size =\"50849792\"]\n  5 [size=\"103408640\", alpha=\"0.09\", expect_size=\"41363456\"] \n  5 -> 7 [size =\"41363456\"]\n  6 [size=\"61094400\", alpha=\"0.11\", expect_size=\"24437760\"] \n  6 -> 8 [size =\"24437760\"]\n  6 -> 9 [size =\"24437760\"]\n  7 [size=\"64176640\", alpha=\"0.00\", expect_size=\"25670656\"] \n  7 -> 9 [size =\"25670656\"]\n  8 [size=\"127255040\", alpha=\"0.11\", expect_size=\"50902016\"] \n  8 -> 10 [size =\"50902016\"]\n  9 [size=\"96688640\", alpha=\"0.17\", expect_size=\"38675456\"] \n  9 -> 11 [size =\"38675456\"]\n  10 [size=\"64266240\", alpha=\"0.18\", expect_size=\"25706496\"] \n  10 -> 13 [size =\"25706496\"]\n  11 [size=\"18780160\", alpha=\"0.05\", expect_size=\"7512064\"] \n  11 -> 12 [size =\"7512064\"]\n  11 -> 13 [size =\"7512064\"]\n  12 [size=\"92930560\", alpha=\"0.01\", expect_size=\"37172224\"] \n  12 -> 14 [size =\"37172224\"]\n  13 [size=\"96524800\", alpha=\"0.05\", expect_size=\"38609920\"] \n  14 [size=\"19980800\", alpha=\"0.16\", expect_size=\"7992320\"] \n  14 -> 15 [size =\"7992320\"]\n  14 -> 16 [size =\"7992320\"]\n  15 [size=\"88650240\", alpha=\"0.16\", expect_size=\"35460096\"] \n  15 -> 17 [size =\"35460096\"]\n  16 [size=\"23697920\", alpha=\"0.11\", expect_size=\"9479168\"] \n  17 [size=\"90158080\", alpha=\"0.14\", expect_size=\"36063232\"] \n  17 -> 18 [size =\"36063232\"]\n  18 [size=\"91432960\", alpha=\"0.12\", expect_size=\"36573184\"] \n  18 -> 19 [size =\"36573184\"]\n  18 -> 20 [size =\"36573184\"]\n  19 [size=\"40588800\", alpha=\"0.08\", expect_size=\"16235520\"] \n  20 [size=\"22261760\", alpha=\"0.13\", expect_size=\"8904704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101758976\", alpha=\"0.08\", expect_size=\"50879488\"] \n  2 [size=\"95381504\", alpha=\"0.18\", expect_size=\"47690752\"] \n  2 -> 5 [size =\"47690752\"]\n  3 [size=\"97601536\", alpha=\"0.06\", expect_size=\"48800768\"] \n  3 -> 6 [size =\"48800768\"]\n  4 [size=\"15683584\", alpha=\"0.18\", expect_size=\"7841792\"] \n  4 -> 7 [size =\"7841792\"]\n  5 [size=\"50640896\", alpha=\"0.06\", expect_size=\"25320448\"] \n  5 -> 10 [size =\"25320448\"]\n  5 -> 11 [size =\"25320448\"]\n  6 [size=\"54816768\", alpha=\"0.17\", expect_size=\"27408384\"] \n  6 -> 9 [size =\"27408384\"]\n  6 -> 10 [size =\"27408384\"]\n  7 [size=\"15509504\", alpha=\"0.08\", expect_size=\"7754752\"] \n  7 -> 8 [size =\"7754752\"]\n  7 -> 9 [size =\"7754752\"]\n  7 -> 11 [size =\"7754752\"]\n  8 [size=\"43921408\", alpha=\"0.18\", expect_size=\"21960704\"] \n  8 -> 14 [size =\"21960704\"]\n  9 [size=\"39882752\", alpha=\"0.02\", expect_size=\"19941376\"] \n  9 -> 14 [size =\"19941376\"]\n  9 -> 15 [size =\"19941376\"]\n  10 [size=\"92268544\", alpha=\"0.05\", expect_size=\"46134272\"] \n  10 -> 12 [size =\"46134272\"]\n  10 -> 14 [size =\"46134272\"]\n  10 -> 15 [size =\"46134272\"]\n  11 [size=\"92506112\", alpha=\"0.05\", expect_size=\"46253056\"] \n  11 -> 12 [size =\"46253056\"]\n  11 -> 13 [size =\"46253056\"]\n  12 [size=\"34908160\", alpha=\"0.14\", expect_size=\"17454080\"] \n  12 -> 16 [size =\"17454080\"]\n  12 -> 18 [size =\"17454080\"]\n  13 [size=\"24682496\", alpha=\"0.19\", expect_size=\"12341248\"] \n  13 -> 17 [size =\"12341248\"]\n  14 [size=\"53485568\", alpha=\"0.07\", expect_size=\"26742784\"] \n  14 -> 16 [size =\"26742784\"]\n  14 -> 17 [size =\"26742784\"]\n  14 -> 18 [size =\"26742784\"]\n  15 [size=\"42149888\", alpha=\"0.12\", expect_size=\"21074944\"] \n  15 -> 16 [size =\"21074944\"]\n  15 -> 17 [size =\"21074944\"]\n  15 -> 18 [size =\"21074944\"]\n  16 [size=\"71809024\", alpha=\"0.09\", expect_size=\"35904512\"] \n  17 [size=\"55683072\", alpha=\"0.04\", expect_size=\"27841536\"] \n  17 -> 20 [size =\"27841536\"]\n  18 [size=\"92784640\", alpha=\"0.16\", expect_size=\"46392320\"] \n  18 -> 19 [size =\"46392320\"]\n  19 [size=\"82429952\", alpha=\"0.03\", expect_size=\"41214976\"] \n  20 [size=\"91615232\", alpha=\"0.04\", expect_size=\"45807616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68526080\", alpha=\"0.03\", expect_size=\"34263040\"] \n  1 -> 6 [size =\"34263040\"]\n  1 -> 7 [size =\"34263040\"]\n  2 [size=\"88643584\", alpha=\"0.16\", expect_size=\"44321792\"] \n  2 -> 5 [size =\"44321792\"]\n  3 [size=\"92016640\", alpha=\"0.12\", expect_size=\"46008320\"] \n  3 -> 4 [size =\"46008320\"]\n  4 [size=\"70717440\", alpha=\"0.00\", expect_size=\"35358720\"] \n  4 -> 9 [size =\"35358720\"]\n  4 -> 10 [size =\"35358720\"]\n  5 [size=\"76441600\", alpha=\"0.04\", expect_size=\"38220800\"] \n  5 -> 10 [size =\"38220800\"]\n  6 [size=\"36337664\", alpha=\"0.07\", expect_size=\"18168832\"] \n  7 [size=\"61384704\", alpha=\"0.14\", expect_size=\"30692352\"] \n  7 -> 8 [size =\"30692352\"]\n  8 [size=\"64593920\", alpha=\"0.08\", expect_size=\"32296960\"] \n  8 -> 11 [size =\"32296960\"]\n  9 [size=\"17152000\", alpha=\"0.02\", expect_size=\"8576000\"] \n  9 -> 11 [size =\"8576000\"]\n  9 -> 13 [size =\"8576000\"]\n  10 [size=\"51142656\", alpha=\"0.13\", expect_size=\"25571328\"] \n  10 -> 12 [size =\"25571328\"]\n  10 -> 13 [size =\"25571328\"]\n  10 -> 14 [size =\"25571328\"]\n  11 [size=\"44003328\", alpha=\"0.07\", expect_size=\"22001664\"] \n  11 -> 18 [size =\"22001664\"]\n  12 [size=\"58695680\", alpha=\"0.02\", expect_size=\"29347840\"] \n  12 -> 15 [size =\"29347840\"]\n  12 -> 17 [size =\"29347840\"]\n  13 [size=\"39000064\", alpha=\"0.06\", expect_size=\"19500032\"] \n  13 -> 15 [size =\"19500032\"]\n  13 -> 16 [size =\"19500032\"]\n  14 [size=\"95363072\", alpha=\"0.01\", expect_size=\"47681536\"] \n  14 -> 17 [size =\"47681536\"]\n  15 [size=\"96428032\", alpha=\"0.18\", expect_size=\"48214016\"] \n  15 -> 19 [size =\"48214016\"]\n  15 -> 20 [size =\"48214016\"]\n  16 [size=\"21897216\", alpha=\"0.05\", expect_size=\"10948608\"] \n  16 -> 19 [size =\"10948608\"]\n  16 -> 20 [size =\"10948608\"]\n  17 [size=\"54986752\", alpha=\"0.00\", expect_size=\"27493376\"] \n  18 [size=\"28508160\", alpha=\"0.17\", expect_size=\"14254080\"] \n  19 [size=\"68577280\", alpha=\"0.00\", expect_size=\"34288640\"] \n  20 [size=\"80195584\", alpha=\"0.15\", expect_size=\"40097792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42321920\", alpha=\"0.11\", expect_size=\"12696576\"] \n  1 -> 14 [size =\"12696576\"]\n  1 -> 15 [size =\"12696576\"]\n  1 -> 16 [size =\"12696576\"]\n  1 -> 17 [size =\"12696576\"]\n  1 -> 18 [size =\"12696576\"]\n  1 -> 19 [size =\"12696576\"]\n  1 -> 20 [size =\"12696576\"]\n  2 [size=\"165553493\", alpha=\"0.11\", expect_size=\"49666048\"] \n  2 -> 14 [size =\"49666048\"]\n  2 -> 15 [size =\"49666048\"]\n  2 -> 16 [size =\"49666048\"]\n  2 -> 17 [size =\"49666048\"]\n  2 -> 18 [size =\"49666048\"]\n  2 -> 19 [size =\"49666048\"]\n  3 [size=\"95754240\", alpha=\"0.20\", expect_size=\"28726272\"] \n  3 -> 15 [size =\"28726272\"]\n  3 -> 17 [size =\"28726272\"]\n  3 -> 18 [size =\"28726272\"]\n  3 -> 19 [size =\"28726272\"]\n  4 [size=\"129488213\", alpha=\"0.17\", expect_size=\"38846464\"] \n  4 -> 16 [size =\"38846464\"]\n  4 -> 17 [size =\"38846464\"]\n  4 -> 18 [size =\"38846464\"]\n  4 -> 19 [size =\"38846464\"]\n  5 [size=\"140912640\", alpha=\"0.05\", expect_size=\"42273792\"] \n  5 -> 14 [size =\"42273792\"]\n  5 -> 15 [size =\"42273792\"]\n  5 -> 16 [size =\"42273792\"]\n  5 -> 17 [size =\"42273792\"]\n  5 -> 18 [size =\"42273792\"]\n  5 -> 20 [size =\"42273792\"]\n  6 [size=\"81087147\", alpha=\"0.11\", expect_size=\"24326144\"] \n  6 -> 14 [size =\"24326144\"]\n  6 -> 16 [size =\"24326144\"]\n  6 -> 17 [size =\"24326144\"]\n  6 -> 18 [size =\"24326144\"]\n  6 -> 18 [size =\"24326144\"]\n  7 [size=\"167621973\", alpha=\"0.06\", expect_size=\"50286592\"] \n  7 -> 14 [size =\"50286592\"]\n  7 -> 16 [size =\"50286592\"]\n  7 -> 17 [size =\"50286592\"]\n  8 [size=\"27931307\", alpha=\"0.14\", expect_size=\"8379392\"] \n  8 -> 14 [size =\"8379392\"]\n  8 -> 17 [size =\"8379392\"]\n  8 -> 19 [size =\"8379392\"]\n  8 -> 20 [size =\"8379392\"]\n  9 [size=\"65795413\", alpha=\"0.06\", expect_size=\"19738624\"] \n  9 -> 14 [size =\"19738624\"]\n  9 -> 17 [size =\"19738624\"]\n  9 -> 20 [size =\"19738624\"]\n  10 [size=\"97962667\", alpha=\"0.15\", expect_size=\"29388800\"] \n  10 -> 14 [size =\"29388800\"]\n  10 -> 15 [size =\"29388800\"]\n  10 -> 17 [size =\"29388800\"]\n  10 -> 18 [size =\"29388800\"]\n  10 -> 20 [size =\"29388800\"]\n  11 [size=\"24391680\", alpha=\"0.11\", expect_size=\"7317504\"] \n  11 -> 14 [size =\"7317504\"]\n  11 -> 15 [size =\"7317504\"]\n  11 -> 16 [size =\"7317504\"]\n  11 -> 17 [size =\"7317504\"]\n  11 -> 18 [size =\"7317504\"]\n  11 -> 19 [size =\"7317504\"]\n  11 -> 20 [size =\"7317504\"]\n  12 [size=\"109264213\", alpha=\"0.15\", expect_size=\"32779264\"] \n  12 -> 14 [size =\"32779264\"]\n  12 -> 18 [size =\"32779264\"]\n  12 -> 19 [size =\"32779264\"]\n  12 -> 20 [size =\"32779264\"]\n  13 [size=\"37502293\", alpha=\"0.06\", expect_size=\"11250688\"] \n  13 -> 14 [size =\"11250688\"]\n  13 -> 15 [size =\"11250688\"]\n  13 -> 17 [size =\"11250688\"]\n  13 -> 18 [size =\"11250688\"]\n  13 -> 19 [size =\"11250688\"]\n  13 -> 20 [size =\"11250688\"]\n  14 [size=\"37294080\", alpha=\"0.10\", expect_size=\"11188224\"] \n  15 [size=\"172868267\", alpha=\"0.10\", expect_size=\"51860480\"] \n  16 [size=\"51032747\", alpha=\"0.06\", expect_size=\"15309824\"] \n  17 [size=\"141240320\", alpha=\"0.17\", expect_size=\"42372096\"] \n  18 [size=\"27927893\", alpha=\"0.07\", expect_size=\"8378368\"] \n  19 [size=\"135639040\", alpha=\"0.02\", expect_size=\"40691712\"] \n  20 [size=\"22282240\", alpha=\"0.12\", expect_size=\"6684672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24168960\", alpha=\"0.14\", expect_size=\"9667584\"] \n  1 -> 2 [size =\"9667584\"]\n  1 -> 3 [size =\"9667584\"]\n  2 [size=\"119733760\", alpha=\"0.04\", expect_size=\"47893504\"] \n  2 -> 4 [size =\"47893504\"]\n  3 [size=\"35960320\", alpha=\"0.19\", expect_size=\"14384128\"] \n  3 -> 5 [size =\"14384128\"]\n  4 [size=\"31301120\", alpha=\"0.13\", expect_size=\"12520448\"] \n  4 -> 6 [size =\"12520448\"]\n  5 [size=\"128468480\", alpha=\"0.16\", expect_size=\"51387392\"] \n  6 [size=\"31731200\", alpha=\"0.11\", expect_size=\"12692480\"] \n  6 -> 7 [size =\"12692480\"]\n  7 [size=\"85944320\", alpha=\"0.19\", expect_size=\"34377728\"] \n  7 -> 8 [size =\"34377728\"]\n  8 [size=\"16578560\", alpha=\"0.01\", expect_size=\"6631424\"] \n  8 -> 9 [size =\"6631424\"]\n  9 [size=\"44776960\", alpha=\"0.02\", expect_size=\"17910784\"] \n  9 -> 10 [size =\"17910784\"]\n  10 [size=\"107202560\", alpha=\"0.17\", expect_size=\"42881024\"] \n  10 -> 11 [size =\"42881024\"]\n  11 [size=\"94755840\", alpha=\"0.06\", expect_size=\"37902336\"] \n  11 -> 12 [size =\"37902336\"]\n  12 [size=\"59297280\", alpha=\"0.18\", expect_size=\"23718912\"] \n  12 -> 13 [size =\"23718912\"]\n  13 [size=\"81459200\", alpha=\"0.14\", expect_size=\"32583680\"] \n  13 -> 14 [size =\"32583680\"]\n  14 [size=\"78259200\", alpha=\"0.19\", expect_size=\"31303680\"] \n  14 -> 15 [size =\"31303680\"]\n  14 -> 16 [size =\"31303680\"]\n  15 [size=\"35509760\", alpha=\"0.02\", expect_size=\"14203904\"] \n  15 -> 17 [size =\"14203904\"]\n  16 [size=\"127152640\", alpha=\"0.02\", expect_size=\"50861056\"] \n  17 [size=\"73167360\", alpha=\"0.10\", expect_size=\"29266944\"] \n  17 -> 18 [size =\"29266944\"]\n  17 -> 19 [size =\"29266944\"]\n  18 [size=\"64665600\", alpha=\"0.01\", expect_size=\"25866240\"] \n  18 -> 20 [size =\"25866240\"]\n  19 [size=\"69304320\", alpha=\"0.13\", expect_size=\"27721728\"] \n  20 [size=\"78543360\", alpha=\"0.13\", expect_size=\"31417344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83458048\", alpha=\"0.03\", expect_size=\"41729024\"] \n  1 -> 9 [size =\"41729024\"]\n  1 -> 10 [size =\"41729024\"]\n  1 -> 12 [size =\"41729024\"]\n  2 [size=\"78536704\", alpha=\"0.08\", expect_size=\"39268352\"] \n  2 -> 9 [size =\"39268352\"]\n  2 -> 10 [size =\"39268352\"]\n  3 [size=\"13647872\", alpha=\"0.16\", expect_size=\"6823936\"] \n  4 [size=\"16695296\", alpha=\"0.06\", expect_size=\"8347648\"] \n  5 [size=\"52799488\", alpha=\"0.12\", expect_size=\"26399744\"] \n  5 -> 8 [size =\"26399744\"]\n  5 -> 9 [size =\"26399744\"]\n  5 -> 11 [size =\"26399744\"]\n  6 [size=\"30992384\", alpha=\"0.16\", expect_size=\"15496192\"] \n  6 -> 8 [size =\"15496192\"]\n  7 [size=\"65898496\", alpha=\"0.08\", expect_size=\"32949248\"] \n  7 -> 8 [size =\"32949248\"]\n  7 -> 9 [size =\"32949248\"]\n  8 [size=\"66951168\", alpha=\"0.10\", expect_size=\"33475584\"] \n  9 [size=\"71421952\", alpha=\"0.10\", expect_size=\"35710976\"] \n  9 -> 13 [size =\"35710976\"]\n  9 -> 15 [size =\"35710976\"]\n  9 -> 18 [size =\"35710976\"]\n  10 [size=\"14168064\", alpha=\"0.17\", expect_size=\"7084032\"] \n  10 -> 13 [size =\"7084032\"]\n  10 -> 14 [size =\"7084032\"]\n  10 -> 15 [size =\"7084032\"]\n  10 -> 17 [size =\"7084032\"]\n  10 -> 18 [size =\"7084032\"]\n  11 [size=\"70389760\", alpha=\"0.14\", expect_size=\"35194880\"] \n  11 -> 15 [size =\"35194880\"]\n  11 -> 16 [size =\"35194880\"]\n  11 -> 17 [size =\"35194880\"]\n  12 [size=\"82585600\", alpha=\"0.18\", expect_size=\"41292800\"] \n  12 -> 14 [size =\"41292800\"]\n  13 [size=\"26216448\", alpha=\"0.05\", expect_size=\"13108224\"] \n  13 -> 19 [size =\"13108224\"]\n  14 [size=\"104071168\", alpha=\"0.00\", expect_size=\"52035584\"] \n  14 -> 20 [size =\"52035584\"]\n  15 [size=\"38545408\", alpha=\"0.09\", expect_size=\"19272704\"] \n  16 [size=\"92934144\", alpha=\"0.04\", expect_size=\"46467072\"] \n  16 -> 20 [size =\"46467072\"]\n  17 [size=\"72644608\", alpha=\"0.15\", expect_size=\"36322304\"] \n  17 -> 19 [size =\"36322304\"]\n  18 [size=\"17782784\", alpha=\"0.17\", expect_size=\"8891392\"] \n  18 -> 19 [size =\"8891392\"]\n  18 -> 20 [size =\"8891392\"]\n  19 [size=\"66158592\", alpha=\"0.13\", expect_size=\"33079296\"] \n  20 [size=\"18014208\", alpha=\"0.11\", expect_size=\"9007104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102688768\", alpha=\"0.03\", expect_size=\"51344384\"] \n  1 -> 12 [size =\"51344384\"]\n  1 -> 14 [size =\"51344384\"]\n  1 -> 16 [size =\"51344384\"]\n  1 -> 17 [size =\"51344384\"]\n  2 [size=\"35962880\", alpha=\"0.06\", expect_size=\"17981440\"] \n  2 -> 14 [size =\"17981440\"]\n  2 -> 19 [size =\"17981440\"]\n  3 [size=\"89255936\", alpha=\"0.01\", expect_size=\"44627968\"] \n  3 -> 13 [size =\"44627968\"]\n  3 -> 15 [size =\"44627968\"]\n  3 -> 17 [size =\"44627968\"]\n  3 -> 19 [size =\"44627968\"]\n  4 [size=\"28239872\", alpha=\"0.14\", expect_size=\"14119936\"] \n  4 -> 12 [size =\"14119936\"]\n  4 -> 14 [size =\"14119936\"]\n  4 -> 17 [size =\"14119936\"]\n  4 -> 18 [size =\"14119936\"]\n  5 [size=\"33097728\", alpha=\"0.06\", expect_size=\"16548864\"] \n  6 [size=\"104470528\", alpha=\"0.01\", expect_size=\"52235264\"] \n  6 -> 11 [size =\"52235264\"]\n  6 -> 12 [size =\"52235264\"]\n  6 -> 16 [size =\"52235264\"]\n  6 -> 18 [size =\"52235264\"]\n  7 [size=\"47798272\", alpha=\"0.00\", expect_size=\"23899136\"] \n  7 -> 11 [size =\"23899136\"]\n  7 -> 14 [size =\"23899136\"]\n  7 -> 15 [size =\"23899136\"]\n  7 -> 16 [size =\"23899136\"]\n  7 -> 18 [size =\"23899136\"]\n  7 -> 19 [size =\"23899136\"]\n  7 -> 20 [size =\"23899136\"]\n  8 [size=\"38862848\", alpha=\"0.01\", expect_size=\"19431424\"] \n  8 -> 12 [size =\"19431424\"]\n  8 -> 15 [size =\"19431424\"]\n  8 -> 16 [size =\"19431424\"]\n  9 [size=\"17500160\", alpha=\"0.17\", expect_size=\"8750080\"] \n  9 -> 14 [size =\"8750080\"]\n  9 -> 17 [size =\"8750080\"]\n  10 [size=\"48660480\", alpha=\"0.19\", expect_size=\"24330240\"] \n  10 -> 16 [size =\"24330240\"]\n  10 -> 17 [size =\"24330240\"]\n  10 -> 18 [size =\"24330240\"]\n  10 -> 20 [size =\"24330240\"]\n  11 [size=\"96997376\", alpha=\"0.04\", expect_size=\"48498688\"] \n  12 [size=\"16369664\", alpha=\"0.01\", expect_size=\"8184832\"] \n  13 [size=\"46213120\", alpha=\"0.03\", expect_size=\"23106560\"] \n  14 [size=\"51728384\", alpha=\"0.15\", expect_size=\"25864192\"] \n  15 [size=\"21194752\", alpha=\"0.10\", expect_size=\"10597376\"] \n  16 [size=\"51394560\", alpha=\"0.20\", expect_size=\"25697280\"] \n  17 [size=\"56207360\", alpha=\"0.18\", expect_size=\"28103680\"] \n  18 [size=\"56655872\", alpha=\"0.16\", expect_size=\"28327936\"] \n  19 [size=\"63377408\", alpha=\"0.04\", expect_size=\"31688704\"] \n  20 [size=\"49020928\", alpha=\"0.19\", expect_size=\"24510464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108741973\", alpha=\"0.09\", expect_size=\"32622592\"] \n  1 -> 5 [size =\"32622592\"]\n  1 -> 6 [size =\"32622592\"]\n  2 [size=\"56767147\", alpha=\"0.10\", expect_size=\"17030144\"] \n  2 -> 7 [size =\"17030144\"]\n  2 -> 8 [size =\"17030144\"]\n  3 [size=\"86753280\", alpha=\"0.15\", expect_size=\"26025984\"] \n  4 [size=\"42110293\", alpha=\"0.01\", expect_size=\"12633088\"] \n  5 [size=\"74789547\", alpha=\"0.11\", expect_size=\"22436864\"] \n  5 -> 9 [size =\"22436864\"]\n  6 [size=\"99341653\", alpha=\"0.01\", expect_size=\"29802496\"] \n  6 -> 10 [size =\"29802496\"]\n  6 -> 11 [size =\"29802496\"]\n  7 [size=\"74028373\", alpha=\"0.00\", expect_size=\"22208512\"] \n  8 [size=\"146735787\", alpha=\"0.01\", expect_size=\"44020736\"] \n  8 -> 10 [size =\"44020736\"]\n  8 -> 11 [size =\"44020736\"]\n  9 [size=\"172677120\", alpha=\"0.18\", expect_size=\"51803136\"] \n  9 -> 13 [size =\"51803136\"]\n  9 -> 14 [size =\"51803136\"]\n  10 [size=\"28631040\", alpha=\"0.08\", expect_size=\"8589312\"] \n  11 [size=\"140916053\", alpha=\"0.16\", expect_size=\"42274816\"] \n  11 -> 12 [size =\"42274816\"]\n  12 [size=\"54155947\", alpha=\"0.18\", expect_size=\"16246784\"] \n  12 -> 16 [size =\"16246784\"]\n  12 -> 17 [size =\"16246784\"]\n  12 -> 18 [size =\"16246784\"]\n  13 [size=\"135191893\", alpha=\"0.03\", expect_size=\"40557568\"] \n  13 -> 15 [size =\"40557568\"]\n  14 [size=\"92224853\", alpha=\"0.07\", expect_size=\"27667456\"] \n  14 -> 15 [size =\"27667456\"]\n  14 -> 18 [size =\"27667456\"]\n  15 [size=\"96822613\", alpha=\"0.15\", expect_size=\"29046784\"] \n  15 -> 20 [size =\"29046784\"]\n  16 [size=\"25398613\", alpha=\"0.13\", expect_size=\"7619584\"] \n  16 -> 19 [size =\"7619584\"]\n  16 -> 20 [size =\"7619584\"]\n  17 [size=\"33239040\", alpha=\"0.14\", expect_size=\"9971712\"] \n  17 -> 19 [size =\"9971712\"]\n  18 [size=\"33576960\", alpha=\"0.05\", expect_size=\"10073088\"] \n  19 [size=\"40192000\", alpha=\"0.12\", expect_size=\"12057600\"] \n  20 [size=\"21674667\", alpha=\"0.07\", expect_size=\"6502400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75497472\", alpha=\"0.07\", expect_size=\"37748736\"] \n  1 -> 2 [size =\"37748736\"]\n  2 [size=\"37914624\", alpha=\"0.20\", expect_size=\"18957312\"] \n  2 -> 3 [size =\"18957312\"]\n  3 [size=\"97372160\", alpha=\"0.05\", expect_size=\"48686080\"] \n  3 -> 4 [size =\"48686080\"]\n  4 [size=\"26472448\", alpha=\"0.16\", expect_size=\"13236224\"] \n  4 -> 5 [size =\"13236224\"]\n  5 [size=\"89440256\", alpha=\"0.16\", expect_size=\"44720128\"] \n  5 -> 6 [size =\"44720128\"]\n  6 [size=\"78598144\", alpha=\"0.02\", expect_size=\"39299072\"] \n  6 -> 7 [size =\"39299072\"]\n  7 [size=\"31449088\", alpha=\"0.00\", expect_size=\"15724544\"] \n  7 -> 8 [size =\"15724544\"]\n  8 [size=\"88186880\", alpha=\"0.05\", expect_size=\"44093440\"] \n  8 -> 9 [size =\"44093440\"]\n  9 [size=\"30560256\", alpha=\"0.07\", expect_size=\"15280128\"] \n  9 -> 10 [size =\"15280128\"]\n  10 [size=\"35596288\", alpha=\"0.12\", expect_size=\"17798144\"] \n  10 -> 11 [size =\"17798144\"]\n  11 [size=\"102273024\", alpha=\"0.04\", expect_size=\"51136512\"] \n  11 -> 12 [size =\"51136512\"]\n  12 [size=\"38623232\", alpha=\"0.11\", expect_size=\"19311616\"] \n  12 -> 13 [size =\"19311616\"]\n  13 [size=\"38576128\", alpha=\"0.05\", expect_size=\"19288064\"] \n  13 -> 14 [size =\"19288064\"]\n  14 [size=\"60340224\", alpha=\"0.09\", expect_size=\"30170112\"] \n  14 -> 15 [size =\"30170112\"]\n  15 [size=\"39501824\", alpha=\"0.07\", expect_size=\"19750912\"] \n  15 -> 16 [size =\"19750912\"]\n  16 [size=\"20754432\", alpha=\"0.08\", expect_size=\"10377216\"] \n  16 -> 17 [size =\"10377216\"]\n  17 [size=\"30517248\", alpha=\"0.10\", expect_size=\"15258624\"] \n  17 -> 18 [size =\"15258624\"]\n  18 [size=\"32598016\", alpha=\"0.19\", expect_size=\"16299008\"] \n  18 -> 19 [size =\"16299008\"]\n  19 [size=\"57524224\", alpha=\"0.02\", expect_size=\"28762112\"] \n  19 -> 20 [size =\"28762112\"]\n  20 [size=\"89473024\", alpha=\"0.17\", expect_size=\"44736512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47290880\", alpha=\"0.15\", expect_size=\"18916352\"] \n  1 -> 19 [size =\"18916352\"]\n  2 [size=\"23887360\", alpha=\"0.12\", expect_size=\"9554944\"] \n  2 -> 19 [size =\"9554944\"]\n  3 [size=\"91397120\", alpha=\"0.02\", expect_size=\"36558848\"] \n  3 -> 19 [size =\"36558848\"]\n  3 -> 20 [size =\"36558848\"]\n  4 [size=\"31403520\", alpha=\"0.20\", expect_size=\"12561408\"] \n  5 [size=\"34846720\", alpha=\"0.18\", expect_size=\"13938688\"] \n  5 -> 19 [size =\"13938688\"]\n  6 [size=\"81049600\", alpha=\"0.00\", expect_size=\"32419840\"] \n  6 -> 19 [size =\"32419840\"]\n  6 -> 20 [size =\"32419840\"]\n  7 [size=\"110225920\", alpha=\"0.04\", expect_size=\"44090368\"] \n  7 -> 19 [size =\"44090368\"]\n  7 -> 20 [size =\"44090368\"]\n  8 [size=\"74480640\", alpha=\"0.19\", expect_size=\"29792256\"] \n  8 -> 20 [size =\"29792256\"]\n  9 [size=\"110394880\", alpha=\"0.18\", expect_size=\"44157952\"] \n  9 -> 20 [size =\"44157952\"]\n  10 [size=\"45905920\", alpha=\"0.13\", expect_size=\"18362368\"] \n  10 -> 17 [size =\"18362368\"]\n  11 [size=\"103587840\", alpha=\"0.16\", expect_size=\"41435136\"] \n  11 -> 20 [size =\"41435136\"]\n  12 [size=\"73825280\", alpha=\"0.06\", expect_size=\"29530112\"] \n  12 -> 18 [size =\"29530112\"]\n  12 -> 19 [size =\"29530112\"]\n  13 [size=\"24719360\", alpha=\"0.18\", expect_size=\"9887744\"] \n  14 [size=\"37921280\", alpha=\"0.19\", expect_size=\"15168512\"] \n  14 -> 20 [size =\"15168512\"]\n  15 [size=\"35898880\", alpha=\"0.18\", expect_size=\"14359552\"] \n  16 [size=\"24611840\", alpha=\"0.01\", expect_size=\"9844736\"] \n  16 -> 20 [size =\"9844736\"]\n  17 [size=\"26429440\", alpha=\"0.05\", expect_size=\"10571776\"] \n  18 [size=\"51591680\", alpha=\"0.10\", expect_size=\"20636672\"] \n  19 [size=\"44113920\", alpha=\"0.12\", expect_size=\"17645568\"] \n  20 [size=\"31121920\", alpha=\"0.11\", expect_size=\"12448768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170291200\", alpha=\"0.13\", expect_size=\"51087360\"] \n  1 -> 2 [size =\"51087360\"]\n  2 [size=\"138072747\", alpha=\"0.08\", expect_size=\"41421824\"] \n  2 -> 3 [size =\"41421824\"]\n  3 [size=\"56688640\", alpha=\"0.02\", expect_size=\"17006592\"] \n  3 -> 4 [size =\"17006592\"]\n  4 [size=\"160894293\", alpha=\"0.11\", expect_size=\"48268288\"] \n  4 -> 5 [size =\"48268288\"]\n  5 [size=\"132031147\", alpha=\"0.07\", expect_size=\"39609344\"] \n  5 -> 6 [size =\"39609344\"]\n  6 [size=\"71877973\", alpha=\"0.02\", expect_size=\"21563392\"] \n  6 -> 7 [size =\"21563392\"]\n  7 [size=\"99570347\", alpha=\"0.17\", expect_size=\"29871104\"] \n  7 -> 8 [size =\"29871104\"]\n  8 [size=\"120616960\", alpha=\"0.14\", expect_size=\"36185088\"] \n  8 -> 9 [size =\"36185088\"]\n  9 [size=\"56159573\", alpha=\"0.02\", expect_size=\"16847872\"] \n  9 -> 10 [size =\"16847872\"]\n  10 [size=\"99003733\", alpha=\"0.13\", expect_size=\"29701120\"] \n  10 -> 11 [size =\"29701120\"]\n  11 [size=\"74659840\", alpha=\"0.19\", expect_size=\"22397952\"] \n  11 -> 12 [size =\"22397952\"]\n  12 [size=\"173230080\", alpha=\"0.04\", expect_size=\"51969024\"] \n  12 -> 13 [size =\"51969024\"]\n  13 [size=\"79629653\", alpha=\"0.04\", expect_size=\"23888896\"] \n  13 -> 14 [size =\"23888896\"]\n  14 [size=\"93310293\", alpha=\"0.07\", expect_size=\"27993088\"] \n  14 -> 15 [size =\"27993088\"]\n  15 [size=\"25156267\", alpha=\"0.18\", expect_size=\"7546880\"] \n  15 -> 16 [size =\"7546880\"]\n  16 [size=\"82824533\", alpha=\"0.10\", expect_size=\"24847360\"] \n  16 -> 17 [size =\"24847360\"]\n  17 [size=\"100085760\", alpha=\"0.08\", expect_size=\"30025728\"] \n  17 -> 18 [size =\"30025728\"]\n  18 [size=\"78622720\", alpha=\"0.05\", expect_size=\"23586816\"] \n  18 -> 19 [size =\"23586816\"]\n  19 [size=\"32525653\", alpha=\"0.05\", expect_size=\"9757696\"] \n  19 -> 20 [size =\"9757696\"]\n  20 [size=\"50667520\", alpha=\"0.08\", expect_size=\"15200256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13191680\", alpha=\"0.10\", expect_size=\"5276672\"] \n  1 -> 18 [size =\"5276672\"]\n  1 -> 19 [size =\"5276672\"]\n  2 [size=\"69140480\", alpha=\"0.05\", expect_size=\"27656192\"] \n  2 -> 16 [size =\"27656192\"]\n  2 -> 19 [size =\"27656192\"]\n  3 [size=\"58631680\", alpha=\"0.13\", expect_size=\"23452672\"] \n  3 -> 16 [size =\"23452672\"]\n  3 -> 17 [size =\"23452672\"]\n  3 -> 18 [size =\"23452672\"]\n  3 -> 20 [size =\"23452672\"]\n  4 [size=\"107824640\", alpha=\"0.04\", expect_size=\"43129856\"] \n  4 -> 18 [size =\"43129856\"]\n  5 [size=\"89894400\", alpha=\"0.03\", expect_size=\"35957760\"] \n  5 -> 19 [size =\"35957760\"]\n  6 [size=\"87802880\", alpha=\"0.13\", expect_size=\"35121152\"] \n  6 -> 17 [size =\"35121152\"]\n  6 -> 18 [size =\"35121152\"]\n  7 [size=\"85409280\", alpha=\"0.01\", expect_size=\"34163712\"] \n  8 [size=\"72675840\", alpha=\"0.17\", expect_size=\"29070336\"] \n  8 -> 18 [size =\"29070336\"]\n  9 [size=\"91445760\", alpha=\"0.05\", expect_size=\"36578304\"] \n  9 -> 19 [size =\"36578304\"]\n  10 [size=\"17095680\", alpha=\"0.19\", expect_size=\"6838272\"] \n  10 -> 17 [size =\"6838272\"]\n  10 -> 19 [size =\"6838272\"]\n  10 -> 20 [size =\"6838272\"]\n  11 [size=\"33792000\", alpha=\"0.08\", expect_size=\"13516800\"] \n  11 -> 16 [size =\"13516800\"]\n  11 -> 17 [size =\"13516800\"]\n  11 -> 18 [size =\"13516800\"]\n  11 -> 19 [size =\"13516800\"]\n  12 [size=\"90913280\", alpha=\"0.07\", expect_size=\"36365312\"] \n  12 -> 16 [size =\"36365312\"]\n  12 -> 18 [size =\"36365312\"]\n  13 [size=\"122109440\", alpha=\"0.06\", expect_size=\"48843776\"] \n  13 -> 18 [size =\"48843776\"]\n  13 -> 19 [size =\"48843776\"]\n  13 -> 20 [size =\"48843776\"]\n  14 [size=\"80903680\", alpha=\"0.09\", expect_size=\"32361472\"] \n  14 -> 16 [size =\"32361472\"]\n  15 [size=\"103467520\", alpha=\"0.05\", expect_size=\"41387008\"] \n  15 -> 19 [size =\"41387008\"]\n  15 -> 20 [size =\"41387008\"]\n  16 [size=\"119114240\", alpha=\"0.13\", expect_size=\"47645696\"] \n  17 [size=\"79631360\", alpha=\"0.12\", expect_size=\"31852544\"] \n  18 [size=\"82931200\", alpha=\"0.05\", expect_size=\"33172480\"] \n  19 [size=\"66214400\", alpha=\"0.03\", expect_size=\"26485760\"] \n  20 [size=\"97553920\", alpha=\"0.11\", expect_size=\"39021568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62202880\", alpha=\"0.07\", expect_size=\"24881152\"] \n  1 -> 4 [size =\"24881152\"]\n  1 -> 6 [size =\"24881152\"]\n  2 [size=\"130649600\", alpha=\"0.13\", expect_size=\"52259840\"] \n  2 -> 4 [size =\"52259840\"]\n  2 -> 7 [size =\"52259840\"]\n  2 -> 8 [size =\"52259840\"]\n  3 [size=\"27991040\", alpha=\"0.16\", expect_size=\"11196416\"] \n  3 -> 5 [size =\"11196416\"]\n  3 -> 6 [size =\"11196416\"]\n  3 -> 7 [size =\"11196416\"]\n  4 [size=\"28861440\", alpha=\"0.20\", expect_size=\"11544576\"] \n  4 -> 11 [size =\"11544576\"]\n  4 -> 12 [size =\"11544576\"]\n  5 [size=\"91089920\", alpha=\"0.20\", expect_size=\"36435968\"] \n  5 -> 10 [size =\"36435968\"]\n  5 -> 11 [size =\"36435968\"]\n  6 [size=\"102392320\", alpha=\"0.19\", expect_size=\"40956928\"] \n  6 -> 10 [size =\"40956928\"]\n  6 -> 12 [size =\"40956928\"]\n  7 [size=\"42168320\", alpha=\"0.16\", expect_size=\"16867328\"] \n  7 -> 9 [size =\"16867328\"]\n  7 -> 10 [size =\"16867328\"]\n  7 -> 11 [size =\"16867328\"]\n  7 -> 12 [size =\"16867328\"]\n  8 [size=\"22853120\", alpha=\"0.19\", expect_size=\"9141248\"] \n  8 -> 9 [size =\"9141248\"]\n  8 -> 10 [size =\"9141248\"]\n  8 -> 11 [size =\"9141248\"]\n  8 -> 12 [size =\"9141248\"]\n  9 [size=\"32023040\", alpha=\"0.07\", expect_size=\"12809216\"] \n  10 [size=\"28185600\", alpha=\"0.19\", expect_size=\"11274240\"] \n  10 -> 14 [size =\"11274240\"]\n  11 [size=\"128693760\", alpha=\"0.12\", expect_size=\"51477504\"] \n  11 -> 15 [size =\"51477504\"]\n  12 [size=\"52508160\", alpha=\"0.14\", expect_size=\"21003264\"] \n  12 -> 13 [size =\"21003264\"]\n  12 -> 15 [size =\"21003264\"]\n  12 -> 16 [size =\"21003264\"]\n  13 [size=\"13491200\", alpha=\"0.13\", expect_size=\"5396480\"] \n  13 -> 18 [size =\"5396480\"]\n  13 -> 19 [size =\"5396480\"]\n  14 [size=\"107192320\", alpha=\"0.18\", expect_size=\"42876928\"] \n  15 [size=\"106631680\", alpha=\"0.04\", expect_size=\"42652672\"] \n  15 -> 17 [size =\"42652672\"]\n  15 -> 19 [size =\"42652672\"]\n  15 -> 20 [size =\"42652672\"]\n  16 [size=\"105249280\", alpha=\"0.15\", expect_size=\"42099712\"] \n  16 -> 17 [size =\"42099712\"]\n  16 -> 18 [size =\"42099712\"]\n  16 -> 20 [size =\"42099712\"]\n  17 [size=\"97313280\", alpha=\"0.17\", expect_size=\"38925312\"] \n  18 [size=\"75589120\", alpha=\"0.03\", expect_size=\"30235648\"] \n  19 [size=\"69619200\", alpha=\"0.15\", expect_size=\"27847680\"] \n  20 [size=\"112192000\", alpha=\"0.20\", expect_size=\"44876800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103690240\", alpha=\"0.17\", expect_size=\"41476096\"] \n  2 [size=\"23298560\", alpha=\"0.01\", expect_size=\"9319424\"] \n  2 -> 20 [size =\"9319424\"]\n  3 [size=\"80524800\", alpha=\"0.15\", expect_size=\"32209920\"] \n  4 [size=\"45662720\", alpha=\"0.17\", expect_size=\"18265088\"] \n  4 -> 20 [size =\"18265088\"]\n  5 [size=\"21437440\", alpha=\"0.06\", expect_size=\"8574976\"] \n  6 [size=\"107722240\", alpha=\"0.17\", expect_size=\"43088896\"] \n  7 [size=\"63188480\", alpha=\"0.09\", expect_size=\"25275392\"] \n  8 [size=\"126382080\", alpha=\"0.13\", expect_size=\"50552832\"] \n  8 -> 20 [size =\"50552832\"]\n  9 [size=\"112647680\", alpha=\"0.03\", expect_size=\"45059072\"] \n  10 [size=\"55539200\", alpha=\"0.20\", expect_size=\"22215680\"] \n  11 [size=\"106967040\", alpha=\"0.01\", expect_size=\"42786816\"] \n  12 [size=\"86868480\", alpha=\"0.15\", expect_size=\"34747392\"] \n  12 -> 20 [size =\"34747392\"]\n  13 [size=\"94451200\", alpha=\"0.17\", expect_size=\"37780480\"] \n  13 -> 20 [size =\"37780480\"]\n  14 [size=\"67627520\", alpha=\"0.08\", expect_size=\"27051008\"] \n  14 -> 20 [size =\"27051008\"]\n  15 [size=\"51829760\", alpha=\"0.18\", expect_size=\"20731904\"] \n  15 -> 20 [size =\"20731904\"]\n  16 [size=\"86476800\", alpha=\"0.14\", expect_size=\"34590720\"] \n  16 -> 20 [size =\"34590720\"]\n  17 [size=\"66849280\", alpha=\"0.08\", expect_size=\"26739712\"] \n  17 -> 20 [size =\"26739712\"]\n  18 [size=\"122411520\", alpha=\"0.12\", expect_size=\"48964608\"] \n  18 -> 20 [size =\"48964608\"]\n  19 [size=\"83430400\", alpha=\"0.06\", expect_size=\"33372160\"] \n  19 -> 20 [size =\"33372160\"]\n  20 [size=\"98662400\", alpha=\"0.04\", expect_size=\"39464960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95465472\", alpha=\"0.07\", expect_size=\"47732736\"] \n  1 -> 2 [size =\"47732736\"]\n  2 [size=\"103620608\", alpha=\"0.15\", expect_size=\"51810304\"] \n  2 -> 3 [size =\"51810304\"]\n  3 [size=\"57649152\", alpha=\"0.13\", expect_size=\"28824576\"] \n  3 -> 4 [size =\"28824576\"]\n  4 [size=\"84545536\", alpha=\"0.05\", expect_size=\"42272768\"] \n  4 -> 5 [size =\"42272768\"]\n  5 [size=\"64970752\", alpha=\"0.20\", expect_size=\"32485376\"] \n  5 -> 6 [size =\"32485376\"]\n  6 [size=\"85626880\", alpha=\"0.08\", expect_size=\"42813440\"] \n  6 -> 7 [size =\"42813440\"]\n  7 [size=\"33044480\", alpha=\"0.03\", expect_size=\"16522240\"] \n  7 -> 8 [size =\"16522240\"]\n  8 [size=\"97841152\", alpha=\"0.18\", expect_size=\"48920576\"] \n  8 -> 9 [size =\"48920576\"]\n  9 [size=\"40853504\", alpha=\"0.11\", expect_size=\"20426752\"] \n  9 -> 10 [size =\"20426752\"]\n  10 [size=\"27322368\", alpha=\"0.05\", expect_size=\"13661184\"] \n  10 -> 11 [size =\"13661184\"]\n  11 [size=\"56580096\", alpha=\"0.18\", expect_size=\"28290048\"] \n  11 -> 12 [size =\"28290048\"]\n  12 [size=\"88328192\", alpha=\"0.10\", expect_size=\"44164096\"] \n  12 -> 13 [size =\"44164096\"]\n  13 [size=\"66863104\", alpha=\"0.13\", expect_size=\"33431552\"] \n  13 -> 14 [size =\"33431552\"]\n  14 [size=\"32202752\", alpha=\"0.00\", expect_size=\"16101376\"] \n  14 -> 15 [size =\"16101376\"]\n  15 [size=\"56850432\", alpha=\"0.01\", expect_size=\"28425216\"] \n  15 -> 16 [size =\"28425216\"]\n  16 [size=\"54962176\", alpha=\"0.20\", expect_size=\"27481088\"] \n  16 -> 17 [size =\"27481088\"]\n  17 [size=\"91502592\", alpha=\"0.11\", expect_size=\"45751296\"] \n  17 -> 18 [size =\"45751296\"]\n  18 [size=\"10981376\", alpha=\"0.00\", expect_size=\"5490688\"] \n  18 -> 19 [size =\"5490688\"]\n  19 [size=\"95483904\", alpha=\"0.12\", expect_size=\"47741952\"] \n  19 -> 20 [size =\"47741952\"]\n  20 [size=\"53837824\", alpha=\"0.08\", expect_size=\"26918912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10743808\", alpha=\"0.02\", expect_size=\"5371904\"] \n  1 -> 3 [size =\"5371904\"]\n  2 [size=\"31539200\", alpha=\"0.11\", expect_size=\"15769600\"] \n  3 [size=\"23437312\", alpha=\"0.05\", expect_size=\"11718656\"] \n  3 -> 4 [size =\"11718656\"]\n  3 -> 5 [size =\"11718656\"]\n  4 [size=\"80873472\", alpha=\"0.01\", expect_size=\"40436736\"] \n  4 -> 7 [size =\"40436736\"]\n  5 [size=\"79874048\", alpha=\"0.01\", expect_size=\"39937024\"] \n  5 -> 6 [size =\"39937024\"]\n  6 [size=\"88076288\", alpha=\"0.02\", expect_size=\"44038144\"] \n  6 -> 9 [size =\"44038144\"]\n  7 [size=\"73496576\", alpha=\"0.18\", expect_size=\"36748288\"] \n  7 -> 8 [size =\"36748288\"]\n  8 [size=\"60231680\", alpha=\"0.14\", expect_size=\"30115840\"] \n  9 [size=\"25296896\", alpha=\"0.19\", expect_size=\"12648448\"] \n  9 -> 10 [size =\"12648448\"]\n  9 -> 11 [size =\"12648448\"]\n  10 [size=\"65847296\", alpha=\"0.14\", expect_size=\"32923648\"] \n  11 [size=\"23605248\", alpha=\"0.17\", expect_size=\"11802624\"] \n  11 -> 12 [size =\"11802624\"]\n  11 -> 13 [size =\"11802624\"]\n  12 [size=\"31545344\", alpha=\"0.01\", expect_size=\"15772672\"] \n  13 [size=\"84541440\", alpha=\"0.02\", expect_size=\"42270720\"] \n  13 -> 14 [size =\"42270720\"]\n  14 [size=\"15747072\", alpha=\"0.17\", expect_size=\"7873536\"] \n  14 -> 15 [size =\"7873536\"]\n  15 [size=\"21809152\", alpha=\"0.15\", expect_size=\"10904576\"] \n  15 -> 16 [size =\"10904576\"]\n  16 [size=\"26327040\", alpha=\"0.14\", expect_size=\"13163520\"] \n  16 -> 17 [size =\"13163520\"]\n  17 [size=\"35616768\", alpha=\"0.15\", expect_size=\"17808384\"] \n  17 -> 18 [size =\"17808384\"]\n  17 -> 19 [size =\"17808384\"]\n  18 [size=\"27815936\", alpha=\"0.08\", expect_size=\"13907968\"] \n  19 [size=\"95764480\", alpha=\"0.01\", expect_size=\"47882240\"] \n  19 -> 20 [size =\"47882240\"]\n  20 [size=\"90310656\", alpha=\"0.19\", expect_size=\"45155328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43304960\", alpha=\"0.02\", expect_size=\"21652480\"] \n  1 -> 3 [size =\"21652480\"]\n  2 [size=\"104345600\", alpha=\"0.15\", expect_size=\"52172800\"] \n  2 -> 3 [size =\"52172800\"]\n  2 -> 4 [size =\"52172800\"]\n  3 [size=\"51755008\", alpha=\"0.14\", expect_size=\"25877504\"] \n  3 -> 5 [size =\"25877504\"]\n  3 -> 6 [size =\"25877504\"]\n  4 [size=\"92270592\", alpha=\"0.19\", expect_size=\"46135296\"] \n  4 -> 5 [size =\"46135296\"]\n  4 -> 6 [size =\"46135296\"]\n  5 [size=\"11233280\", alpha=\"0.17\", expect_size=\"5616640\"] \n  5 -> 7 [size =\"5616640\"]\n  6 [size=\"97331200\", alpha=\"0.11\", expect_size=\"48665600\"] \n  6 -> 7 [size =\"48665600\"]\n  7 [size=\"39565312\", alpha=\"0.10\", expect_size=\"19782656\"] \n  7 -> 8 [size =\"19782656\"]\n  7 -> 9 [size =\"19782656\"]\n  8 [size=\"31995904\", alpha=\"0.09\", expect_size=\"15997952\"] \n  9 [size=\"101756928\", alpha=\"0.11\", expect_size=\"50878464\"] \n  9 -> 10 [size =\"50878464\"]\n  9 -> 11 [size =\"50878464\"]\n  10 [size=\"85452800\", alpha=\"0.06\", expect_size=\"42726400\"] \n  11 [size=\"47249408\", alpha=\"0.18\", expect_size=\"23624704\"] \n  11 -> 12 [size =\"23624704\"]\n  12 [size=\"54849536\", alpha=\"0.09\", expect_size=\"27424768\"] \n  12 -> 13 [size =\"27424768\"]\n  13 [size=\"30656512\", alpha=\"0.08\", expect_size=\"15328256\"] \n  13 -> 14 [size =\"15328256\"]\n  13 -> 15 [size =\"15328256\"]\n  14 [size=\"95547392\", alpha=\"0.01\", expect_size=\"47773696\"] \n  14 -> 16 [size =\"47773696\"]\n  14 -> 17 [size =\"47773696\"]\n  15 [size=\"92622848\", alpha=\"0.05\", expect_size=\"46311424\"] \n  16 [size=\"77185024\", alpha=\"0.15\", expect_size=\"38592512\"] \n  16 -> 18 [size =\"38592512\"]\n  16 -> 19 [size =\"38592512\"]\n  17 [size=\"33548288\", alpha=\"0.16\", expect_size=\"16774144\"] \n  17 -> 18 [size =\"16774144\"]\n  17 -> 19 [size =\"16774144\"]\n  18 [size=\"79054848\", alpha=\"0.07\", expect_size=\"39527424\"] \n  18 -> 20 [size =\"39527424\"]\n  19 [size=\"25899008\", alpha=\"0.05\", expect_size=\"12949504\"] \n  20 [size=\"78645248\", alpha=\"0.15\", expect_size=\"39322624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30912512\", alpha=\"0.05\", expect_size=\"15456256\"] \n  2 [size=\"33855488\", alpha=\"0.13\", expect_size=\"16927744\"] \n  2 -> 5 [size =\"16927744\"]\n  2 -> 6 [size =\"16927744\"]\n  3 [size=\"77674496\", alpha=\"0.19\", expect_size=\"38837248\"] \n  3 -> 6 [size =\"38837248\"]\n  3 -> 7 [size =\"38837248\"]\n  4 [size=\"53198848\", alpha=\"0.17\", expect_size=\"26599424\"] \n  4 -> 5 [size =\"26599424\"]\n  4 -> 7 [size =\"26599424\"]\n  5 [size=\"84932608\", alpha=\"0.20\", expect_size=\"42466304\"] \n  5 -> 9 [size =\"42466304\"]\n  6 [size=\"16416768\", alpha=\"0.10\", expect_size=\"8208384\"] \n  6 -> 8 [size =\"8208384\"]\n  7 [size=\"72771584\", alpha=\"0.07\", expect_size=\"36385792\"] \n  7 -> 8 [size =\"36385792\"]\n  7 -> 9 [size =\"36385792\"]\n  8 [size=\"29542400\", alpha=\"0.11\", expect_size=\"14771200\"] \n  8 -> 11 [size =\"14771200\"]\n  8 -> 12 [size =\"14771200\"]\n  8 -> 13 [size =\"14771200\"]\n  9 [size=\"103290880\", alpha=\"0.12\", expect_size=\"51645440\"] \n  9 -> 10 [size =\"51645440\"]\n  10 [size=\"69572608\", alpha=\"0.16\", expect_size=\"34786304\"] \n  10 -> 16 [size =\"34786304\"]\n  11 [size=\"29673472\", alpha=\"0.15\", expect_size=\"14836736\"] \n  11 -> 15 [size =\"14836736\"]\n  11 -> 16 [size =\"14836736\"]\n  12 [size=\"55361536\", alpha=\"0.03\", expect_size=\"27680768\"] \n  12 -> 15 [size =\"27680768\"]\n  13 [size=\"23461888\", alpha=\"0.15\", expect_size=\"11730944\"] \n  13 -> 14 [size =\"11730944\"]\n  14 [size=\"16627712\", alpha=\"0.00\", expect_size=\"8313856\"] \n  14 -> 17 [size =\"8313856\"]\n  15 [size=\"95905792\", alpha=\"0.07\", expect_size=\"47952896\"] \n  15 -> 18 [size =\"47952896\"]\n  16 [size=\"95365120\", alpha=\"0.11\", expect_size=\"47682560\"] \n  16 -> 19 [size =\"47682560\"]\n  17 [size=\"47194112\", alpha=\"0.07\", expect_size=\"23597056\"] \n  18 [size=\"79032320\", alpha=\"0.10\", expect_size=\"39516160\"] \n  19 [size=\"38490112\", alpha=\"0.19\", expect_size=\"19245056\"] \n  19 -> 20 [size =\"19245056\"]\n  20 [size=\"95117312\", alpha=\"0.15\", expect_size=\"47558656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170536960\", alpha=\"0.09\", expect_size=\"51161088\"] \n  1 -> 2 [size =\"51161088\"]\n  2 [size=\"88026453\", alpha=\"0.02\", expect_size=\"26407936\"] \n  2 -> 3 [size =\"26407936\"]\n  3 [size=\"122736640\", alpha=\"0.17\", expect_size=\"36820992\"] \n  3 -> 4 [size =\"36820992\"]\n  4 [size=\"62320640\", alpha=\"0.17\", expect_size=\"18696192\"] \n  4 -> 5 [size =\"18696192\"]\n  5 [size=\"155914240\", alpha=\"0.03\", expect_size=\"46774272\"] \n  5 -> 6 [size =\"46774272\"]\n  6 [size=\"28262400\", alpha=\"0.08\", expect_size=\"8478720\"] \n  6 -> 7 [size =\"8478720\"]\n  7 [size=\"154043733\", alpha=\"0.17\", expect_size=\"46213120\"] \n  7 -> 8 [size =\"46213120\"]\n  8 [size=\"37369173\", alpha=\"0.16\", expect_size=\"11210752\"] \n  8 -> 9 [size =\"11210752\"]\n  9 [size=\"85374293\", alpha=\"0.03\", expect_size=\"25612288\"] \n  9 -> 10 [size =\"25612288\"]\n  10 [size=\"54418773\", alpha=\"0.17\", expect_size=\"16325632\"] \n  10 -> 11 [size =\"16325632\"]\n  11 [size=\"148333227\", alpha=\"0.19\", expect_size=\"44499968\"] \n  11 -> 12 [size =\"44499968\"]\n  12 [size=\"61760853\", alpha=\"0.07\", expect_size=\"18528256\"] \n  12 -> 13 [size =\"18528256\"]\n  13 [size=\"76789760\", alpha=\"0.01\", expect_size=\"23036928\"] \n  13 -> 14 [size =\"23036928\"]\n  14 [size=\"54599680\", alpha=\"0.06\", expect_size=\"16379904\"] \n  14 -> 15 [size =\"16379904\"]\n  15 [size=\"31167147\", alpha=\"0.15\", expect_size=\"9350144\"] \n  15 -> 16 [size =\"9350144\"]\n  16 [size=\"51090773\", alpha=\"0.05\", expect_size=\"15327232\"] \n  16 -> 17 [size =\"15327232\"]\n  17 [size=\"116718933\", alpha=\"0.16\", expect_size=\"35015680\"] \n  17 -> 18 [size =\"35015680\"]\n  18 [size=\"92883627\", alpha=\"0.03\", expect_size=\"27865088\"] \n  18 -> 19 [size =\"27865088\"]\n  19 [size=\"61562880\", alpha=\"0.20\", expect_size=\"18468864\"] \n  19 -> 20 [size =\"18468864\"]\n  20 [size=\"82537813\", alpha=\"0.03\", expect_size=\"24761344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89236480\", alpha=\"0.08\", expect_size=\"35694592\"] \n  1 -> 2 [size =\"35694592\"]\n  2 [size=\"98475520\", alpha=\"0.12\", expect_size=\"39390208\"] \n  2 -> 3 [size =\"39390208\"]\n  3 [size=\"87203840\", alpha=\"0.02\", expect_size=\"34881536\"] \n  3 -> 4 [size =\"34881536\"]\n  4 [size=\"67371520\", alpha=\"0.16\", expect_size=\"26948608\"] \n  4 -> 5 [size =\"26948608\"]\n  5 [size=\"59189760\", alpha=\"0.15\", expect_size=\"23675904\"] \n  5 -> 6 [size =\"23675904\"]\n  6 [size=\"126187520\", alpha=\"0.15\", expect_size=\"50475008\"] \n  6 -> 7 [size =\"50475008\"]\n  7 [size=\"55831040\", alpha=\"0.18\", expect_size=\"22332416\"] \n  7 -> 8 [size =\"22332416\"]\n  8 [size=\"90496000\", alpha=\"0.03\", expect_size=\"36198400\"] \n  8 -> 9 [size =\"36198400\"]\n  9 [size=\"23134720\", alpha=\"0.19\", expect_size=\"9253888\"] \n  9 -> 10 [size =\"9253888\"]\n  10 [size=\"104624640\", alpha=\"0.11\", expect_size=\"41849856\"] \n  10 -> 11 [size =\"41849856\"]\n  11 [size=\"98754560\", alpha=\"0.06\", expect_size=\"39501824\"] \n  11 -> 12 [size =\"39501824\"]\n  12 [size=\"26877440\", alpha=\"0.04\", expect_size=\"10750976\"] \n  12 -> 13 [size =\"10750976\"]\n  13 [size=\"97287680\", alpha=\"0.17\", expect_size=\"38915072\"] \n  13 -> 14 [size =\"38915072\"]\n  14 [size=\"108523520\", alpha=\"0.18\", expect_size=\"43409408\"] \n  14 -> 15 [size =\"43409408\"]\n  15 [size=\"86615040\", alpha=\"0.14\", expect_size=\"34646016\"] \n  15 -> 16 [size =\"34646016\"]\n  16 [size=\"56204800\", alpha=\"0.12\", expect_size=\"22481920\"] \n  16 -> 17 [size =\"22481920\"]\n  17 [size=\"28974080\", alpha=\"0.13\", expect_size=\"11589632\"] \n  17 -> 18 [size =\"11589632\"]\n  18 [size=\"15610880\", alpha=\"0.05\", expect_size=\"6244352\"] \n  18 -> 19 [size =\"6244352\"]\n  19 [size=\"34703360\", alpha=\"0.09\", expect_size=\"13881344\"] \n  19 -> 20 [size =\"13881344\"]\n  20 [size=\"27322880\", alpha=\"0.20\", expect_size=\"10929152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79357440\", alpha=\"0.00\", expect_size=\"31742976\"] \n  1 -> 12 [size =\"31742976\"]\n  1 -> 13 [size =\"31742976\"]\n  1 -> 14 [size =\"31742976\"]\n  1 -> 15 [size =\"31742976\"]\n  2 [size=\"100523520\", alpha=\"0.15\", expect_size=\"40209408\"] \n  2 -> 13 [size =\"40209408\"]\n  2 -> 13 [size =\"40209408\"]\n  2 -> 14 [size =\"40209408\"]\n  2 -> 16 [size =\"40209408\"]\n  3 [size=\"45816320\", alpha=\"0.08\", expect_size=\"18326528\"] \n  3 -> 14 [size =\"18326528\"]\n  4 [size=\"20907520\", alpha=\"0.00\", expect_size=\"8363008\"] \n  4 -> 15 [size =\"8363008\"]\n  5 [size=\"93416960\", alpha=\"0.17\", expect_size=\"37366784\"] \n  5 -> 14 [size =\"37366784\"]\n  6 [size=\"130352640\", alpha=\"0.15\", expect_size=\"52141056\"] \n  6 -> 11 [size =\"52141056\"]\n  6 -> 14 [size =\"52141056\"]\n  7 [size=\"50045440\", alpha=\"0.19\", expect_size=\"20018176\"] \n  7 -> 13 [size =\"20018176\"]\n  7 -> 14 [size =\"20018176\"]\n  7 -> 15 [size =\"20018176\"]\n  8 [size=\"55493120\", alpha=\"0.10\", expect_size=\"22197248\"] \n  8 -> 12 [size =\"22197248\"]\n  9 [size=\"13222400\", alpha=\"0.01\", expect_size=\"5288960\"] \n  10 [size=\"102208000\", alpha=\"0.06\", expect_size=\"40883200\"] \n  10 -> 12 [size =\"40883200\"]\n  10 -> 13 [size =\"40883200\"]\n  10 -> 14 [size =\"40883200\"]\n  10 -> 15 [size =\"40883200\"]\n  11 [size=\"24734720\", alpha=\"0.15\", expect_size=\"9893888\"] \n  11 -> 20 [size =\"9893888\"]\n  12 [size=\"25722880\", alpha=\"0.05\", expect_size=\"10289152\"] \n  12 -> 17 [size =\"10289152\"]\n  12 -> 18 [size =\"10289152\"]\n  13 [size=\"117045760\", alpha=\"0.01\", expect_size=\"46818304\"] \n  13 -> 18 [size =\"46818304\"]\n  13 -> 20 [size =\"46818304\"]\n  14 [size=\"45542400\", alpha=\"0.01\", expect_size=\"18216960\"] \n  14 -> 19 [size =\"18216960\"]\n  14 -> 20 [size =\"18216960\"]\n  15 [size=\"47605760\", alpha=\"0.02\", expect_size=\"19042304\"] \n  15 -> 20 [size =\"19042304\"]\n  16 [size=\"31416320\", alpha=\"0.17\", expect_size=\"12566528\"] \n  16 -> 19 [size =\"12566528\"]\n  17 [size=\"122539520\", alpha=\"0.03\", expect_size=\"49015808\"] \n  18 [size=\"116080640\", alpha=\"0.13\", expect_size=\"46432256\"] \n  19 [size=\"59865600\", alpha=\"0.19\", expect_size=\"23946240\"] \n  20 [size=\"66859520\", alpha=\"0.02\", expect_size=\"26743808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121643520\", alpha=\"0.14\", expect_size=\"48657408\"] \n  1 -> 2 [size =\"48657408\"]\n  2 [size=\"35630080\", alpha=\"0.20\", expect_size=\"14252032\"] \n  2 -> 3 [size =\"14252032\"]\n  3 [size=\"65840640\", alpha=\"0.09\", expect_size=\"26336256\"] \n  3 -> 4 [size =\"26336256\"]\n  4 [size=\"35724800\", alpha=\"0.02\", expect_size=\"14289920\"] \n  4 -> 5 [size =\"14289920\"]\n  5 [size=\"45025280\", alpha=\"0.16\", expect_size=\"18010112\"] \n  5 -> 6 [size =\"18010112\"]\n  6 [size=\"80312320\", alpha=\"0.15\", expect_size=\"32124928\"] \n  6 -> 7 [size =\"32124928\"]\n  7 [size=\"30512640\", alpha=\"0.14\", expect_size=\"12205056\"] \n  7 -> 8 [size =\"12205056\"]\n  8 [size=\"127805440\", alpha=\"0.02\", expect_size=\"51122176\"] \n  8 -> 9 [size =\"51122176\"]\n  9 [size=\"24908800\", alpha=\"0.04\", expect_size=\"9963520\"] \n  9 -> 10 [size =\"9963520\"]\n  10 [size=\"72947200\", alpha=\"0.11\", expect_size=\"29178880\"] \n  10 -> 11 [size =\"29178880\"]\n  11 [size=\"24061440\", alpha=\"0.10\", expect_size=\"9624576\"] \n  11 -> 12 [size =\"9624576\"]\n  12 [size=\"105162240\", alpha=\"0.06\", expect_size=\"42064896\"] \n  12 -> 13 [size =\"42064896\"]\n  13 [size=\"104765440\", alpha=\"0.14\", expect_size=\"41906176\"] \n  13 -> 14 [size =\"41906176\"]\n  14 [size=\"39198720\", alpha=\"0.04\", expect_size=\"15679488\"] \n  14 -> 15 [size =\"15679488\"]\n  15 [size=\"50058240\", alpha=\"0.13\", expect_size=\"20023296\"] \n  15 -> 16 [size =\"20023296\"]\n  16 [size=\"25848320\", alpha=\"0.11\", expect_size=\"10339328\"] \n  16 -> 17 [size =\"10339328\"]\n  17 [size=\"115368960\", alpha=\"0.16\", expect_size=\"46147584\"] \n  17 -> 18 [size =\"46147584\"]\n  18 [size=\"80775680\", alpha=\"0.06\", expect_size=\"32310272\"] \n  18 -> 19 [size =\"32310272\"]\n  19 [size=\"89861120\", alpha=\"0.06\", expect_size=\"35944448\"] \n  19 -> 20 [size =\"35944448\"]\n  20 [size=\"110965760\", alpha=\"0.14\", expect_size=\"44386304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116654080\", alpha=\"0.06\", expect_size=\"34996224\"] \n  1 -> 2 [size =\"34996224\"]\n  2 [size=\"142711467\", alpha=\"0.18\", expect_size=\"42813440\"] \n  2 -> 3 [size =\"42813440\"]\n  3 [size=\"27921067\", alpha=\"0.14\", expect_size=\"8376320\"] \n  3 -> 4 [size =\"8376320\"]\n  4 [size=\"36505600\", alpha=\"0.08\", expect_size=\"10951680\"] \n  4 -> 5 [size =\"10951680\"]\n  5 [size=\"86060373\", alpha=\"0.12\", expect_size=\"25818112\"] \n  5 -> 6 [size =\"25818112\"]\n  6 [size=\"22746453\", alpha=\"0.12\", expect_size=\"6823936\"] \n  6 -> 7 [size =\"6823936\"]\n  7 [size=\"94808747\", alpha=\"0.16\", expect_size=\"28442624\"] \n  7 -> 8 [size =\"28442624\"]\n  8 [size=\"70782293\", alpha=\"0.08\", expect_size=\"21234688\"] \n  8 -> 9 [size =\"21234688\"]\n  9 [size=\"35502080\", alpha=\"0.07\", expect_size=\"10650624\"] \n  9 -> 10 [size =\"10650624\"]\n  10 [size=\"105178453\", alpha=\"0.06\", expect_size=\"31553536\"] \n  10 -> 11 [size =\"31553536\"]\n  11 [size=\"35973120\", alpha=\"0.13\", expect_size=\"10791936\"] \n  11 -> 12 [size =\"10791936\"]\n  12 [size=\"80384000\", alpha=\"0.03\", expect_size=\"24115200\"] \n  12 -> 13 [size =\"24115200\"]\n  13 [size=\"67495253\", alpha=\"0.02\", expect_size=\"20248576\"] \n  13 -> 14 [size =\"20248576\"]\n  14 [size=\"20585813\", alpha=\"0.08\", expect_size=\"6175744\"] \n  14 -> 15 [size =\"6175744\"]\n  15 [size=\"86743040\", alpha=\"0.12\", expect_size=\"26022912\"] \n  15 -> 16 [size =\"26022912\"]\n  16 [size=\"20480000\", alpha=\"0.18\", expect_size=\"6144000\"] \n  16 -> 17 [size =\"6144000\"]\n  17 [size=\"118019413\", alpha=\"0.10\", expect_size=\"35405824\"] \n  17 -> 18 [size =\"35405824\"]\n  18 [size=\"88985600\", alpha=\"0.15\", expect_size=\"26695680\"] \n  18 -> 19 [size =\"26695680\"]\n  19 [size=\"149053440\", alpha=\"0.01\", expect_size=\"44716032\"] \n  19 -> 20 [size =\"44716032\"]\n  20 [size=\"47435093\", alpha=\"0.20\", expect_size=\"14230528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102234112\", alpha=\"0.06\", expect_size=\"51117056\"] \n  1 -> 2 [size =\"51117056\"]\n  1 -> 3 [size =\"51117056\"]\n  2 [size=\"32034816\", alpha=\"0.08\", expect_size=\"16017408\"] \n  2 -> 5 [size =\"16017408\"]\n  3 [size=\"85727232\", alpha=\"0.14\", expect_size=\"42863616\"] \n  3 -> 4 [size =\"42863616\"]\n  4 [size=\"16562176\", alpha=\"0.08\", expect_size=\"8281088\"] \n  4 -> 7 [size =\"8281088\"]\n  5 [size=\"12050432\", alpha=\"0.09\", expect_size=\"6025216\"] \n  5 -> 6 [size =\"6025216\"]\n  6 [size=\"84568064\", alpha=\"0.17\", expect_size=\"42284032\"] \n  6 -> 8 [size =\"42284032\"]\n  6 -> 9 [size =\"42284032\"]\n  7 [size=\"51359744\", alpha=\"0.14\", expect_size=\"25679872\"] \n  8 [size=\"48898048\", alpha=\"0.19\", expect_size=\"24449024\"] \n  8 -> 10 [size =\"24449024\"]\n  9 [size=\"54413312\", alpha=\"0.07\", expect_size=\"27206656\"] \n  10 [size=\"90150912\", alpha=\"0.05\", expect_size=\"45075456\"] \n  10 -> 11 [size =\"45075456\"]\n  11 [size=\"80199680\", alpha=\"0.13\", expect_size=\"40099840\"] \n  11 -> 12 [size =\"40099840\"]\n  12 [size=\"16492544\", alpha=\"0.00\", expect_size=\"8246272\"] \n  12 -> 13 [size =\"8246272\"]\n  13 [size=\"54863872\", alpha=\"0.19\", expect_size=\"27431936\"] \n  13 -> 14 [size =\"27431936\"]\n  14 [size=\"28065792\", alpha=\"0.19\", expect_size=\"14032896\"] \n  14 -> 15 [size =\"14032896\"]\n  15 [size=\"66842624\", alpha=\"0.17\", expect_size=\"33421312\"] \n  15 -> 16 [size =\"33421312\"]\n  16 [size=\"12912640\", alpha=\"0.09\", expect_size=\"6456320\"] \n  16 -> 17 [size =\"6456320\"]\n  16 -> 18 [size =\"6456320\"]\n  17 [size=\"95305728\", alpha=\"0.01\", expect_size=\"47652864\"] \n  17 -> 19 [size =\"47652864\"]\n  18 [size=\"65310720\", alpha=\"0.14\", expect_size=\"32655360\"] \n  18 -> 19 [size =\"32655360\"]\n  18 -> 20 [size =\"32655360\"]\n  19 [size=\"61401088\", alpha=\"0.15\", expect_size=\"30700544\"] \n  20 [size=\"93349888\", alpha=\"0.17\", expect_size=\"46674944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69621760\", alpha=\"0.18\", expect_size=\"27848704\"] \n  1 -> 10 [size =\"27848704\"]\n  1 -> 12 [size =\"27848704\"]\n  2 [size=\"114805760\", alpha=\"0.18\", expect_size=\"45922304\"] \n  2 -> 9 [size =\"45922304\"]\n  2 -> 11 [size =\"45922304\"]\n  2 -> 13 [size =\"45922304\"]\n  2 -> 14 [size =\"45922304\"]\n  3 [size=\"82452480\", alpha=\"0.15\", expect_size=\"32980992\"] \n  3 -> 10 [size =\"32980992\"]\n  4 [size=\"127889920\", alpha=\"0.10\", expect_size=\"51155968\"] \n  4 -> 13 [size =\"51155968\"]\n  5 [size=\"45189120\", alpha=\"0.08\", expect_size=\"18075648\"] \n  5 -> 8 [size =\"18075648\"]\n  6 [size=\"123394560\", alpha=\"0.17\", expect_size=\"49357824\"] \n  6 -> 8 [size =\"49357824\"]\n  6 -> 10 [size =\"49357824\"]\n  6 -> 11 [size =\"49357824\"]\n  7 [size=\"73162240\", alpha=\"0.04\", expect_size=\"29264896\"] \n  7 -> 8 [size =\"29264896\"]\n  7 -> 10 [size =\"29264896\"]\n  7 -> 11 [size =\"29264896\"]\n  7 -> 12 [size =\"29264896\"]\n  7 -> 14 [size =\"29264896\"]\n  8 [size=\"25233920\", alpha=\"0.12\", expect_size=\"10093568\"] \n  8 -> 15 [size =\"10093568\"]\n  8 -> 18 [size =\"10093568\"]\n  9 [size=\"52019200\", alpha=\"0.15\", expect_size=\"20807680\"] \n  9 -> 15 [size =\"20807680\"]\n  9 -> 17 [size =\"20807680\"]\n  9 -> 20 [size =\"20807680\"]\n  10 [size=\"85268480\", alpha=\"0.03\", expect_size=\"34107392\"] \n  10 -> 16 [size =\"34107392\"]\n  10 -> 20 [size =\"34107392\"]\n  11 [size=\"36154880\", alpha=\"0.12\", expect_size=\"14461952\"] \n  11 -> 16 [size =\"14461952\"]\n  12 [size=\"25702400\", alpha=\"0.09\", expect_size=\"10280960\"] \n  12 -> 15 [size =\"10280960\"]\n  12 -> 19 [size =\"10280960\"]\n  12 -> 20 [size =\"10280960\"]\n  13 [size=\"14474240\", alpha=\"0.15\", expect_size=\"5789696\"] \n  13 -> 15 [size =\"5789696\"]\n  13 -> 16 [size =\"5789696\"]\n  13 -> 19 [size =\"5789696\"]\n  13 -> 20 [size =\"5789696\"]\n  14 [size=\"102730240\", alpha=\"0.19\", expect_size=\"41092096\"] \n  14 -> 16 [size =\"41092096\"]\n  15 [size=\"46289920\", alpha=\"0.07\", expect_size=\"18515968\"] \n  16 [size=\"92252160\", alpha=\"0.13\", expect_size=\"36900864\"] \n  17 [size=\"75906560\", alpha=\"0.17\", expect_size=\"30362624\"] \n  18 [size=\"98396160\", alpha=\"0.07\", expect_size=\"39358464\"] \n  19 [size=\"52052480\", alpha=\"0.01\", expect_size=\"20820992\"] \n  20 [size=\"22410240\", alpha=\"0.15\", expect_size=\"8964096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49532928\", alpha=\"0.12\", expect_size=\"24766464\"] \n  1 -> 2 [size =\"24766464\"]\n  2 [size=\"83462144\", alpha=\"0.17\", expect_size=\"41731072\"] \n  2 -> 3 [size =\"41731072\"]\n  3 [size=\"95109120\", alpha=\"0.11\", expect_size=\"47554560\"] \n  3 -> 4 [size =\"47554560\"]\n  4 [size=\"92213248\", alpha=\"0.04\", expect_size=\"46106624\"] \n  4 -> 5 [size =\"46106624\"]\n  5 [size=\"41783296\", alpha=\"0.03\", expect_size=\"20891648\"] \n  5 -> 6 [size =\"20891648\"]\n  6 [size=\"25894912\", alpha=\"0.03\", expect_size=\"12947456\"] \n  6 -> 7 [size =\"12947456\"]\n  7 [size=\"85927936\", alpha=\"0.04\", expect_size=\"42963968\"] \n  7 -> 8 [size =\"42963968\"]\n  8 [size=\"74864640\", alpha=\"0.07\", expect_size=\"37432320\"] \n  8 -> 9 [size =\"37432320\"]\n  9 [size=\"73003008\", alpha=\"0.13\", expect_size=\"36501504\"] \n  9 -> 10 [size =\"36501504\"]\n  10 [size=\"41551872\", alpha=\"0.18\", expect_size=\"20775936\"] \n  10 -> 11 [size =\"20775936\"]\n  11 [size=\"60854272\", alpha=\"0.18\", expect_size=\"30427136\"] \n  11 -> 12 [size =\"30427136\"]\n  12 [size=\"22224896\", alpha=\"0.07\", expect_size=\"11112448\"] \n  12 -> 13 [size =\"11112448\"]\n  13 [size=\"100757504\", alpha=\"0.12\", expect_size=\"50378752\"] \n  13 -> 14 [size =\"50378752\"]\n  14 [size=\"60041216\", alpha=\"0.07\", expect_size=\"30020608\"] \n  14 -> 15 [size =\"30020608\"]\n  15 [size=\"80855040\", alpha=\"0.14\", expect_size=\"40427520\"] \n  15 -> 16 [size =\"40427520\"]\n  16 [size=\"95823872\", alpha=\"0.01\", expect_size=\"47911936\"] \n  16 -> 17 [size =\"47911936\"]\n  17 [size=\"14999552\", alpha=\"0.18\", expect_size=\"7499776\"] \n  17 -> 18 [size =\"7499776\"]\n  18 [size=\"31670272\", alpha=\"0.12\", expect_size=\"15835136\"] \n  18 -> 19 [size =\"15835136\"]\n  19 [size=\"64450560\", alpha=\"0.05\", expect_size=\"32225280\"] \n  19 -> 20 [size =\"32225280\"]\n  20 [size=\"32030720\", alpha=\"0.02\", expect_size=\"16015360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64629760\", alpha=\"0.05\", expect_size=\"25851904\"] \n  1 -> 7 [size =\"25851904\"]\n  2 [size=\"28876800\", alpha=\"0.18\", expect_size=\"11550720\"] \n  2 -> 6 [size =\"11550720\"]\n  2 -> 8 [size =\"11550720\"]\n  2 -> 10 [size =\"11550720\"]\n  3 [size=\"92572160\", alpha=\"0.02\", expect_size=\"37028864\"] \n  3 -> 6 [size =\"37028864\"]\n  3 -> 8 [size =\"37028864\"]\n  3 -> 9 [size =\"37028864\"]\n  3 -> 10 [size =\"37028864\"]\n  4 [size=\"63096320\", alpha=\"0.01\", expect_size=\"25238528\"] \n  4 -> 7 [size =\"25238528\"]\n  4 -> 8 [size =\"25238528\"]\n  4 -> 9 [size =\"25238528\"]\n  4 -> 10 [size =\"25238528\"]\n  5 [size=\"44715520\", alpha=\"0.11\", expect_size=\"17886208\"] \n  5 -> 6 [size =\"17886208\"]\n  5 -> 9 [size =\"17886208\"]\n  6 [size=\"20920320\", alpha=\"0.00\", expect_size=\"8368128\"] \n  7 [size=\"75015680\", alpha=\"0.16\", expect_size=\"30006272\"] \n  7 -> 12 [size =\"30006272\"]\n  8 [size=\"110712320\", alpha=\"0.15\", expect_size=\"44284928\"] \n  8 -> 11 [size =\"44284928\"]\n  9 [size=\"13959680\", alpha=\"0.13\", expect_size=\"5583872\"] \n  9 -> 11 [size =\"5583872\"]\n  9 -> 12 [size =\"5583872\"]\n  10 [size=\"107699200\", alpha=\"0.05\", expect_size=\"43079680\"] \n  10 -> 12 [size =\"43079680\"]\n  11 [size=\"72691200\", alpha=\"0.09\", expect_size=\"29076480\"] \n  11 -> 13 [size =\"29076480\"]\n  11 -> 14 [size =\"29076480\"]\n  11 -> 15 [size =\"29076480\"]\n  11 -> 16 [size =\"29076480\"]\n  12 [size=\"99888640\", alpha=\"0.03\", expect_size=\"39955456\"] \n  12 -> 14 [size =\"39955456\"]\n  12 -> 16 [size =\"39955456\"]\n  13 [size=\"88929280\", alpha=\"0.03\", expect_size=\"35571712\"] \n  14 [size=\"99599360\", alpha=\"0.07\", expect_size=\"39839744\"] \n  14 -> 19 [size =\"39839744\"]\n  14 -> 20 [size =\"39839744\"]\n  15 [size=\"104092160\", alpha=\"0.20\", expect_size=\"41636864\"] \n  15 -> 17 [size =\"41636864\"]\n  15 -> 18 [size =\"41636864\"]\n  15 -> 19 [size =\"41636864\"]\n  16 [size=\"49612800\", alpha=\"0.13\", expect_size=\"19845120\"] \n  17 [size=\"50613760\", alpha=\"0.01\", expect_size=\"20245504\"] \n  18 [size=\"27681280\", alpha=\"0.04\", expect_size=\"11072512\"] \n  19 [size=\"118696960\", alpha=\"0.04\", expect_size=\"47478784\"] \n  20 [size=\"76700160\", alpha=\"0.08\", expect_size=\"30680064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31393792\", alpha=\"0.08\", expect_size=\"15696896\"] \n  1 -> 9 [size =\"15696896\"]\n  1 -> 10 [size =\"15696896\"]\n  1 -> 12 [size =\"15696896\"]\n  1 -> 15 [size =\"15696896\"]\n  2 [size=\"98498560\", alpha=\"0.15\", expect_size=\"49249280\"] \n  2 -> 9 [size =\"49249280\"]\n  2 -> 12 [size =\"49249280\"]\n  3 [size=\"93165568\", alpha=\"0.10\", expect_size=\"46582784\"] \n  3 -> 10 [size =\"46582784\"]\n  3 -> 16 [size =\"46582784\"]\n  4 [size=\"37007360\", alpha=\"0.08\", expect_size=\"18503680\"] \n  4 -> 10 [size =\"18503680\"]\n  5 [size=\"72179712\", alpha=\"0.16\", expect_size=\"36089856\"] \n  5 -> 9 [size =\"36089856\"]\n  5 -> 14 [size =\"36089856\"]\n  6 [size=\"58021888\", alpha=\"0.04\", expect_size=\"29010944\"] \n  6 -> 16 [size =\"29010944\"]\n  7 [size=\"35614720\", alpha=\"0.05\", expect_size=\"17807360\"] \n  7 -> 9 [size =\"17807360\"]\n  7 -> 13 [size =\"17807360\"]\n  7 -> 16 [size =\"17807360\"]\n  8 [size=\"89974784\", alpha=\"0.05\", expect_size=\"44987392\"] \n  8 -> 11 [size =\"44987392\"]\n  8 -> 14 [size =\"44987392\"]\n  8 -> 16 [size =\"44987392\"]\n  9 [size=\"14319616\", alpha=\"0.13\", expect_size=\"7159808\"] \n  10 [size=\"35160064\", alpha=\"0.05\", expect_size=\"17580032\"] \n  10 -> 18 [size =\"17580032\"]\n  11 [size=\"61284352\", alpha=\"0.17\", expect_size=\"30642176\"] \n  11 -> 20 [size =\"30642176\"]\n  12 [size=\"96966656\", alpha=\"0.03\", expect_size=\"48483328\"] \n  13 [size=\"72839168\", alpha=\"0.01\", expect_size=\"36419584\"] \n  13 -> 19 [size =\"36419584\"]\n  14 [size=\"25382912\", alpha=\"0.05\", expect_size=\"12691456\"] \n  14 -> 17 [size =\"12691456\"]\n  14 -> 20 [size =\"12691456\"]\n  15 [size=\"63762432\", alpha=\"0.03\", expect_size=\"31881216\"] \n  15 -> 19 [size =\"31881216\"]\n  15 -> 20 [size =\"31881216\"]\n  16 [size=\"44529664\", alpha=\"0.00\", expect_size=\"22264832\"] \n  16 -> 18 [size =\"22264832\"]\n  16 -> 20 [size =\"22264832\"]\n  17 [size=\"64405504\", alpha=\"0.09\", expect_size=\"32202752\"] \n  18 [size=\"89571328\", alpha=\"0.04\", expect_size=\"44785664\"] \n  19 [size=\"18454528\", alpha=\"0.03\", expect_size=\"9227264\"] \n  20 [size=\"78301184\", alpha=\"0.14\", expect_size=\"39150592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58373120\", alpha=\"0.09\", expect_size=\"23349248\"] \n  1 -> 15 [size =\"23349248\"]\n  1 -> 17 [size =\"23349248\"]\n  1 -> 19 [size =\"23349248\"]\n  2 [size=\"51038720\", alpha=\"0.08\", expect_size=\"20415488\"] \n  2 -> 19 [size =\"20415488\"]\n  3 [size=\"55265280\", alpha=\"0.09\", expect_size=\"22106112\"] \n  3 -> 16 [size =\"22106112\"]\n  3 -> 18 [size =\"22106112\"]\n  3 -> 20 [size =\"22106112\"]\n  4 [size=\"51238400\", alpha=\"0.06\", expect_size=\"20495360\"] \n  4 -> 16 [size =\"20495360\"]\n  4 -> 18 [size =\"20495360\"]\n  4 -> 19 [size =\"20495360\"]\n  4 -> 20 [size =\"20495360\"]\n  5 [size=\"59409920\", alpha=\"0.05\", expect_size=\"23763968\"] \n  5 -> 16 [size =\"23763968\"]\n  5 -> 20 [size =\"23763968\"]\n  6 [size=\"51763200\", alpha=\"0.14\", expect_size=\"20705280\"] \n  6 -> 14 [size =\"20705280\"]\n  6 -> 16 [size =\"20705280\"]\n  6 -> 19 [size =\"20705280\"]\n  6 -> 20 [size =\"20705280\"]\n  7 [size=\"114406400\", alpha=\"0.16\", expect_size=\"45762560\"] \n  7 -> 20 [size =\"45762560\"]\n  8 [size=\"14609920\", alpha=\"0.04\", expect_size=\"5843968\"] \n  8 -> 12 [size =\"5843968\"]\n  8 -> 13 [size =\"5843968\"]\n  8 -> 14 [size =\"5843968\"]\n  8 -> 16 [size =\"5843968\"]\n  8 -> 17 [size =\"5843968\"]\n  8 -> 18 [size =\"5843968\"]\n  8 -> 19 [size =\"5843968\"]\n  9 [size=\"33203200\", alpha=\"0.13\", expect_size=\"13281280\"] \n  9 -> 13 [size =\"13281280\"]\n  9 -> 17 [size =\"13281280\"]\n  9 -> 20 [size =\"13281280\"]\n  10 [size=\"103577600\", alpha=\"0.19\", expect_size=\"41431040\"] \n  10 -> 13 [size =\"41431040\"]\n  10 -> 17 [size =\"41431040\"]\n  10 -> 20 [size =\"41431040\"]\n  11 [size=\"38394880\", alpha=\"0.06\", expect_size=\"15357952\"] \n  11 -> 19 [size =\"15357952\"]\n  12 [size=\"90288640\", alpha=\"0.19\", expect_size=\"36115456\"] \n  13 [size=\"20838400\", alpha=\"0.00\", expect_size=\"8335360\"] \n  14 [size=\"73410560\", alpha=\"0.12\", expect_size=\"29364224\"] \n  15 [size=\"108610560\", alpha=\"0.04\", expect_size=\"43444224\"] \n  16 [size=\"21972480\", alpha=\"0.12\", expect_size=\"8788992\"] \n  17 [size=\"102999040\", alpha=\"0.19\", expect_size=\"41199616\"] \n  18 [size=\"81937920\", alpha=\"0.05\", expect_size=\"32775168\"] \n  19 [size=\"108477440\", alpha=\"0.04\", expect_size=\"43390976\"] \n  20 [size=\"66534400\", alpha=\"0.04\", expect_size=\"26613760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94559573\", alpha=\"0.14\", expect_size=\"28367872\"] \n  1 -> 2 [size =\"28367872\"]\n  2 [size=\"133737813\", alpha=\"0.13\", expect_size=\"40121344\"] \n  2 -> 3 [size =\"40121344\"]\n  3 [size=\"28654933\", alpha=\"0.06\", expect_size=\"8596480\"] \n  3 -> 4 [size =\"8596480\"]\n  4 [size=\"154654720\", alpha=\"0.16\", expect_size=\"46396416\"] \n  4 -> 5 [size =\"46396416\"]\n  5 [size=\"118347093\", alpha=\"0.06\", expect_size=\"35504128\"] \n  5 -> 6 [size =\"35504128\"]\n  6 [size=\"165939200\", alpha=\"0.04\", expect_size=\"49781760\"] \n  6 -> 7 [size =\"49781760\"]\n  7 [size=\"86473387\", alpha=\"0.18\", expect_size=\"25942016\"] \n  7 -> 8 [size =\"25942016\"]\n  8 [size=\"158296747\", alpha=\"0.16\", expect_size=\"47489024\"] \n  8 -> 9 [size =\"47489024\"]\n  9 [size=\"141342720\", alpha=\"0.05\", expect_size=\"42402816\"] \n  9 -> 10 [size =\"42402816\"]\n  10 [size=\"159744000\", alpha=\"0.11\", expect_size=\"47923200\"] \n  10 -> 11 [size =\"47923200\"]\n  11 [size=\"80510293\", alpha=\"0.10\", expect_size=\"24153088\"] \n  11 -> 12 [size =\"24153088\"]\n  12 [size=\"34850133\", alpha=\"0.05\", expect_size=\"10455040\"] \n  12 -> 13 [size =\"10455040\"]\n  13 [size=\"139059200\", alpha=\"0.01\", expect_size=\"41717760\"] \n  13 -> 14 [size =\"41717760\"]\n  14 [size=\"29583360\", alpha=\"0.05\", expect_size=\"8875008\"] \n  14 -> 15 [size =\"8875008\"]\n  15 [size=\"158849707\", alpha=\"0.09\", expect_size=\"47654912\"] \n  15 -> 16 [size =\"47654912\"]\n  16 [size=\"51814400\", alpha=\"0.18\", expect_size=\"15544320\"] \n  16 -> 17 [size =\"15544320\"]\n  17 [size=\"81858560\", alpha=\"0.06\", expect_size=\"24557568\"] \n  17 -> 18 [size =\"24557568\"]\n  18 [size=\"66085547\", alpha=\"0.17\", expect_size=\"19825664\"] \n  18 -> 19 [size =\"19825664\"]\n  19 [size=\"31293440\", alpha=\"0.15\", expect_size=\"9388032\"] \n  19 -> 20 [size =\"9388032\"]\n  20 [size=\"72598187\", alpha=\"0.01\", expect_size=\"21779456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118121813\", alpha=\"0.14\", expect_size=\"35436544\"] \n  1 -> 11 [size =\"35436544\"]\n  1 -> 14 [size =\"35436544\"]\n  2 [size=\"111233707\", alpha=\"0.12\", expect_size=\"33370112\"] \n  2 -> 12 [size =\"33370112\"]\n  2 -> 14 [size =\"33370112\"]\n  3 [size=\"156064427\", alpha=\"0.09\", expect_size=\"46819328\"] \n  3 -> 11 [size =\"46819328\"]\n  3 -> 12 [size =\"46819328\"]\n  3 -> 13 [size =\"46819328\"]\n  3 -> 15 [size =\"46819328\"]\n  4 [size=\"125289813\", alpha=\"0.17\", expect_size=\"37586944\"] \n  4 -> 9 [size =\"37586944\"]\n  4 -> 10 [size =\"37586944\"]\n  4 -> 12 [size =\"37586944\"]\n  4 -> 13 [size =\"37586944\"]\n  4 -> 15 [size =\"37586944\"]\n  5 [size=\"81599147\", alpha=\"0.08\", expect_size=\"24479744\"] \n  5 -> 9 [size =\"24479744\"]\n  5 -> 12 [size =\"24479744\"]\n  5 -> 13 [size =\"24479744\"]\n  5 -> 15 [size =\"24479744\"]\n  6 [size=\"121111893\", alpha=\"0.03\", expect_size=\"36333568\"] \n  6 -> 9 [size =\"36333568\"]\n  7 [size=\"31191040\", alpha=\"0.20\", expect_size=\"9357312\"] \n  7 -> 9 [size =\"9357312\"]\n  7 -> 11 [size =\"9357312\"]\n  7 -> 13 [size =\"9357312\"]\n  7 -> 14 [size =\"9357312\"]\n  8 [size=\"51285333\", alpha=\"0.20\", expect_size=\"15385600\"] \n  8 -> 9 [size =\"15385600\"]\n  8 -> 12 [size =\"15385600\"]\n  8 -> 14 [size =\"15385600\"]\n  9 [size=\"50206720\", alpha=\"0.00\", expect_size=\"15062016\"] \n  9 -> 20 [size =\"15062016\"]\n  10 [size=\"167096320\", alpha=\"0.02\", expect_size=\"50128896\"] \n  10 -> 18 [size =\"50128896\"]\n  10 -> 19 [size =\"50128896\"]\n  10 -> 20 [size =\"50128896\"]\n  11 [size=\"24210773\", alpha=\"0.06\", expect_size=\"7263232\"] \n  11 -> 16 [size =\"7263232\"]\n  11 -> 18 [size =\"7263232\"]\n  11 -> 19 [size =\"7263232\"]\n  12 [size=\"134574080\", alpha=\"0.07\", expect_size=\"40372224\"] \n  12 -> 17 [size =\"40372224\"]\n  12 -> 18 [size =\"40372224\"]\n  13 [size=\"67829760\", alpha=\"0.17\", expect_size=\"20348928\"] \n  13 -> 17 [size =\"20348928\"]\n  13 -> 18 [size =\"20348928\"]\n  13 -> 19 [size =\"20348928\"]\n  14 [size=\"141206187\", alpha=\"0.07\", expect_size=\"42361856\"] \n  14 -> 18 [size =\"42361856\"]\n  14 -> 18 [size =\"42361856\"]\n  14 -> 19 [size =\"42361856\"]\n  14 -> 20 [size =\"42361856\"]\n  15 [size=\"118224213\", alpha=\"0.07\", expect_size=\"35467264\"] \n  15 -> 18 [size =\"35467264\"]\n  15 -> 19 [size =\"35467264\"]\n  15 -> 19 [size =\"35467264\"]\n  16 [size=\"20514133\", alpha=\"0.13\", expect_size=\"6154240\"] \n  17 [size=\"42697387\", alpha=\"0.15\", expect_size=\"12809216\"] \n  18 [size=\"40915627\", alpha=\"0.08\", expect_size=\"12274688\"] \n  19 [size=\"40772267\", alpha=\"0.18\", expect_size=\"12231680\"] \n  20 [size=\"42304853\", alpha=\"0.03\", expect_size=\"12691456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50982400\", alpha=\"0.14\", expect_size=\"20392960\"] \n  1 -> 5 [size =\"20392960\"]\n  1 -> 6 [size =\"20392960\"]\n  1 -> 7 [size =\"20392960\"]\n  2 [size=\"19468800\", alpha=\"0.16\", expect_size=\"7787520\"] \n  2 -> 5 [size =\"7787520\"]\n  3 [size=\"130152960\", alpha=\"0.07\", expect_size=\"52061184\"] \n  3 -> 6 [size =\"52061184\"]\n  3 -> 7 [size =\"52061184\"]\n  4 [size=\"52252160\", alpha=\"0.08\", expect_size=\"20900864\"] \n  4 -> 5 [size =\"20900864\"]\n  4 -> 6 [size =\"20900864\"]\n  5 [size=\"78133760\", alpha=\"0.06\", expect_size=\"31253504\"] \n  5 -> 8 [size =\"31253504\"]\n  5 -> 9 [size =\"31253504\"]\n  6 [size=\"37017600\", alpha=\"0.15\", expect_size=\"14807040\"] \n  6 -> 8 [size =\"14807040\"]\n  6 -> 9 [size =\"14807040\"]\n  6 -> 10 [size =\"14807040\"]\n  7 [size=\"93619200\", alpha=\"0.09\", expect_size=\"37447680\"] \n  7 -> 8 [size =\"37447680\"]\n  7 -> 10 [size =\"37447680\"]\n  7 -> 11 [size =\"37447680\"]\n  8 [size=\"25968640\", alpha=\"0.13\", expect_size=\"10387456\"] \n  8 -> 13 [size =\"10387456\"]\n  8 -> 14 [size =\"10387456\"]\n  9 [size=\"36116480\", alpha=\"0.01\", expect_size=\"14446592\"] \n  9 -> 13 [size =\"14446592\"]\n  9 -> 14 [size =\"14446592\"]\n  10 [size=\"118566400\", alpha=\"0.12\", expect_size=\"47426560\"] \n  10 -> 12 [size =\"47426560\"]\n  10 -> 13 [size =\"47426560\"]\n  10 -> 14 [size =\"47426560\"]\n  11 [size=\"17797120\", alpha=\"0.16\", expect_size=\"7118848\"] \n  11 -> 12 [size =\"7118848\"]\n  11 -> 13 [size =\"7118848\"]\n  12 [size=\"99146240\", alpha=\"0.16\", expect_size=\"39658496\"] \n  12 -> 15 [size =\"39658496\"]\n  12 -> 16 [size =\"39658496\"]\n  12 -> 17 [size =\"39658496\"]\n  12 -> 18 [size =\"39658496\"]\n  13 [size=\"74828800\", alpha=\"0.18\", expect_size=\"29931520\"] \n  13 -> 15 [size =\"29931520\"]\n  13 -> 16 [size =\"29931520\"]\n  14 [size=\"115089920\", alpha=\"0.05\", expect_size=\"46035968\"] \n  14 -> 15 [size =\"46035968\"]\n  14 -> 16 [size =\"46035968\"]\n  14 -> 17 [size =\"46035968\"]\n  15 [size=\"45772800\", alpha=\"0.18\", expect_size=\"18309120\"] \n  16 [size=\"80199680\", alpha=\"0.09\", expect_size=\"32079872\"] \n  16 -> 20 [size =\"32079872\"]\n  17 [size=\"49318400\", alpha=\"0.11\", expect_size=\"19727360\"] \n  17 -> 19 [size =\"19727360\"]\n  18 [size=\"99732480\", alpha=\"0.15\", expect_size=\"39892992\"] \n  19 [size=\"58196480\", alpha=\"0.18\", expect_size=\"23278592\"] \n  20 [size=\"66818560\", alpha=\"0.06\", expect_size=\"26727424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97689600\", alpha=\"0.02\", expect_size=\"48844800\"] \n  1 -> 6 [size =\"48844800\"]\n  1 -> 7 [size =\"48844800\"]\n  1 -> 10 [size =\"48844800\"]\n  1 -> 11 [size =\"48844800\"]\n  2 [size=\"61874176\", alpha=\"0.06\", expect_size=\"30937088\"] \n  2 -> 9 [size =\"30937088\"]\n  3 [size=\"31707136\", alpha=\"0.12\", expect_size=\"15853568\"] \n  3 -> 6 [size =\"15853568\"]\n  3 -> 7 [size =\"15853568\"]\n  3 -> 9 [size =\"15853568\"]\n  4 [size=\"85663744\", alpha=\"0.17\", expect_size=\"42831872\"] \n  4 -> 8 [size =\"42831872\"]\n  4 -> 9 [size =\"42831872\"]\n  5 [size=\"34373632\", alpha=\"0.19\", expect_size=\"17186816\"] \n  5 -> 6 [size =\"17186816\"]\n  5 -> 8 [size =\"17186816\"]\n  6 [size=\"99196928\", alpha=\"0.09\", expect_size=\"49598464\"] \n  6 -> 12 [size =\"49598464\"]\n  6 -> 15 [size =\"49598464\"]\n  6 -> 18 [size =\"49598464\"]\n  7 [size=\"87291904\", alpha=\"0.10\", expect_size=\"43645952\"] \n  7 -> 12 [size =\"43645952\"]\n  7 -> 13 [size =\"43645952\"]\n  7 -> 14 [size =\"43645952\"]\n  7 -> 18 [size =\"43645952\"]\n  7 -> 19 [size =\"43645952\"]\n  8 [size=\"24154112\", alpha=\"0.17\", expect_size=\"12077056\"] \n  9 [size=\"10827776\", alpha=\"0.06\", expect_size=\"5413888\"] \n  9 -> 14 [size =\"5413888\"]\n  9 -> 18 [size =\"5413888\"]\n  9 -> 20 [size =\"5413888\"]\n  10 [size=\"51181568\", alpha=\"0.11\", expect_size=\"25590784\"] \n  10 -> 12 [size =\"25590784\"]\n  10 -> 13 [size =\"25590784\"]\n  10 -> 16 [size =\"25590784\"]\n  10 -> 17 [size =\"25590784\"]\n  10 -> 19 [size =\"25590784\"]\n  11 [size=\"32761856\", alpha=\"0.19\", expect_size=\"16380928\"] \n  11 -> 13 [size =\"16380928\"]\n  11 -> 16 [size =\"16380928\"]\n  11 -> 17 [size =\"16380928\"]\n  11 -> 20 [size =\"16380928\"]\n  12 [size=\"41084928\", alpha=\"0.14\", expect_size=\"20542464\"] \n  13 [size=\"69541888\", alpha=\"0.05\", expect_size=\"34770944\"] \n  14 [size=\"33579008\", alpha=\"0.09\", expect_size=\"16789504\"] \n  15 [size=\"17174528\", alpha=\"0.13\", expect_size=\"8587264\"] \n  16 [size=\"11798528\", alpha=\"0.03\", expect_size=\"5899264\"] \n  17 [size=\"53254144\", alpha=\"0.02\", expect_size=\"26627072\"] \n  18 [size=\"98924544\", alpha=\"0.13\", expect_size=\"49462272\"] \n  19 [size=\"84895744\", alpha=\"0.01\", expect_size=\"42447872\"] \n  20 [size=\"17059840\", alpha=\"0.12\", expect_size=\"8529920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20682240\", alpha=\"0.01\", expect_size=\"8272896\"] \n  1 -> 8 [size =\"8272896\"]\n  1 -> 9 [size =\"8272896\"]\n  1 -> 10 [size =\"8272896\"]\n  1 -> 13 [size =\"8272896\"]\n  1 -> 15 [size =\"8272896\"]\n  2 [size=\"44556800\", alpha=\"0.08\", expect_size=\"17822720\"] \n  2 -> 8 [size =\"17822720\"]\n  2 -> 9 [size =\"17822720\"]\n  2 -> 10 [size =\"17822720\"]\n  2 -> 15 [size =\"17822720\"]\n  3 [size=\"118615040\", alpha=\"0.19\", expect_size=\"47446016\"] \n  3 -> 9 [size =\"47446016\"]\n  3 -> 10 [size =\"47446016\"]\n  3 -> 10 [size =\"47446016\"]\n  3 -> 12 [size =\"47446016\"]\n  3 -> 14 [size =\"47446016\"]\n  4 [size=\"83837440\", alpha=\"0.16\", expect_size=\"33534976\"] \n  4 -> 9 [size =\"33534976\"]\n  4 -> 10 [size =\"33534976\"]\n  4 -> 11 [size =\"33534976\"]\n  4 -> 15 [size =\"33534976\"]\n  5 [size=\"92492800\", alpha=\"0.19\", expect_size=\"36997120\"] \n  5 -> 10 [size =\"36997120\"]\n  5 -> 13 [size =\"36997120\"]\n  5 -> 14 [size =\"36997120\"]\n  5 -> 15 [size =\"36997120\"]\n  6 [size=\"51724800\", alpha=\"0.02\", expect_size=\"20689920\"] \n  6 -> 9 [size =\"20689920\"]\n  6 -> 15 [size =\"20689920\"]\n  7 [size=\"122058240\", alpha=\"0.05\", expect_size=\"48823296\"] \n  7 -> 8 [size =\"48823296\"]\n  7 -> 10 [size =\"48823296\"]\n  7 -> 15 [size =\"48823296\"]\n  8 [size=\"84556800\", alpha=\"0.15\", expect_size=\"33822720\"] \n  8 -> 17 [size =\"33822720\"]\n  8 -> 18 [size =\"33822720\"]\n  8 -> 19 [size =\"33822720\"]\n  9 [size=\"59901440\", alpha=\"0.18\", expect_size=\"23960576\"] \n  9 -> 17 [size =\"23960576\"]\n  9 -> 19 [size =\"23960576\"]\n  9 -> 19 [size =\"23960576\"]\n  10 [size=\"32655360\", alpha=\"0.10\", expect_size=\"13062144\"] \n  10 -> 19 [size =\"13062144\"]\n  11 [size=\"81075200\", alpha=\"0.15\", expect_size=\"32430080\"] \n  11 -> 18 [size =\"32430080\"]\n  12 [size=\"84628480\", alpha=\"0.03\", expect_size=\"33851392\"] \n  12 -> 17 [size =\"33851392\"]\n  12 -> 18 [size =\"33851392\"]\n  12 -> 19 [size =\"33851392\"]\n  12 -> 20 [size =\"33851392\"]\n  13 [size=\"15354880\", alpha=\"0.13\", expect_size=\"6141952\"] \n  13 -> 17 [size =\"6141952\"]\n  13 -> 18 [size =\"6141952\"]\n  13 -> 19 [size =\"6141952\"]\n  13 -> 20 [size =\"6141952\"]\n  14 [size=\"126576640\", alpha=\"0.10\", expect_size=\"50630656\"] \n  14 -> 16 [size =\"50630656\"]\n  14 -> 17 [size =\"50630656\"]\n  14 -> 18 [size =\"50630656\"]\n  14 -> 20 [size =\"50630656\"]\n  15 [size=\"104084480\", alpha=\"0.01\", expect_size=\"41633792\"] \n  15 -> 17 [size =\"41633792\"]\n  15 -> 18 [size =\"41633792\"]\n  15 -> 19 [size =\"41633792\"]\n  16 [size=\"100697600\", alpha=\"0.07\", expect_size=\"40279040\"] \n  17 [size=\"110533120\", alpha=\"0.14\", expect_size=\"44213248\"] \n  18 [size=\"19120640\", alpha=\"0.05\", expect_size=\"7648256\"] \n  19 [size=\"109859840\", alpha=\"0.16\", expect_size=\"43943936\"] \n  20 [size=\"98823680\", alpha=\"0.15\", expect_size=\"39529472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55483733\", alpha=\"0.05\", expect_size=\"16645120\"] \n  1 -> 2 [size =\"16645120\"]\n  2 [size=\"93511680\", alpha=\"0.20\", expect_size=\"28053504\"] \n  2 -> 3 [size =\"28053504\"]\n  3 [size=\"128802133\", alpha=\"0.15\", expect_size=\"38640640\"] \n  3 -> 4 [size =\"38640640\"]\n  4 [size=\"26388480\", alpha=\"0.08\", expect_size=\"7916544\"] \n  4 -> 5 [size =\"7916544\"]\n  5 [size=\"169236480\", alpha=\"0.12\", expect_size=\"50770944\"] \n  5 -> 6 [size =\"50770944\"]\n  6 [size=\"114606080\", alpha=\"0.02\", expect_size=\"34381824\"] \n  6 -> 7 [size =\"34381824\"]\n  7 [size=\"29139627\", alpha=\"0.13\", expect_size=\"8741888\"] \n  7 -> 8 [size =\"8741888\"]\n  8 [size=\"39379627\", alpha=\"0.01\", expect_size=\"11813888\"] \n  8 -> 9 [size =\"11813888\"]\n  9 [size=\"27798187\", alpha=\"0.13\", expect_size=\"8339456\"] \n  9 -> 10 [size =\"8339456\"]\n  10 [size=\"20360533\", alpha=\"0.18\", expect_size=\"6108160\"] \n  10 -> 11 [size =\"6108160\"]\n  11 [size=\"120746667\", alpha=\"0.19\", expect_size=\"36224000\"] \n  11 -> 12 [size =\"36224000\"]\n  12 [size=\"162607787\", alpha=\"0.10\", expect_size=\"48782336\"] \n  12 -> 13 [size =\"48782336\"]\n  13 [size=\"160969387\", alpha=\"0.06\", expect_size=\"48290816\"] \n  13 -> 14 [size =\"48290816\"]\n  14 [size=\"124784640\", alpha=\"0.05\", expect_size=\"37435392\"] \n  14 -> 15 [size =\"37435392\"]\n  15 [size=\"27187200\", alpha=\"0.13\", expect_size=\"8156160\"] \n  15 -> 16 [size =\"8156160\"]\n  16 [size=\"119613440\", alpha=\"0.12\", expect_size=\"35884032\"] \n  16 -> 17 [size =\"35884032\"]\n  17 [size=\"132314453\", alpha=\"0.11\", expect_size=\"39694336\"] \n  17 -> 18 [size =\"39694336\"]\n  18 [size=\"77260800\", alpha=\"0.05\", expect_size=\"23178240\"] \n  18 -> 19 [size =\"23178240\"]\n  19 [size=\"86507520\", alpha=\"0.16\", expect_size=\"25952256\"] \n  19 -> 20 [size =\"25952256\"]\n  20 [size=\"32890880\", alpha=\"0.16\", expect_size=\"9867264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128696320\", alpha=\"0.14\", expect_size=\"38608896\"] \n  1 -> 2 [size =\"38608896\"]\n  2 [size=\"21684907\", alpha=\"0.19\", expect_size=\"6505472\"] \n  2 -> 3 [size =\"6505472\"]\n  3 [size=\"38328320\", alpha=\"0.03\", expect_size=\"11498496\"] \n  3 -> 4 [size =\"11498496\"]\n  4 [size=\"141707947\", alpha=\"0.09\", expect_size=\"42512384\"] \n  4 -> 5 [size =\"42512384\"]\n  5 [size=\"137891840\", alpha=\"0.10\", expect_size=\"41367552\"] \n  5 -> 6 [size =\"41367552\"]\n  6 [size=\"74840747\", alpha=\"0.04\", expect_size=\"22452224\"] \n  6 -> 7 [size =\"22452224\"]\n  7 [size=\"122637653\", alpha=\"0.04\", expect_size=\"36791296\"] \n  7 -> 8 [size =\"36791296\"]\n  8 [size=\"23562240\", alpha=\"0.13\", expect_size=\"7068672\"] \n  8 -> 9 [size =\"7068672\"]\n  9 [size=\"90839040\", alpha=\"0.14\", expect_size=\"27251712\"] \n  9 -> 10 [size =\"27251712\"]\n  10 [size=\"56586240\", alpha=\"0.02\", expect_size=\"16975872\"] \n  10 -> 11 [size =\"16975872\"]\n  11 [size=\"72809813\", alpha=\"0.13\", expect_size=\"21842944\"] \n  11 -> 12 [size =\"21842944\"]\n  12 [size=\"23961600\", alpha=\"0.17\", expect_size=\"7188480\"] \n  12 -> 13 [size =\"7188480\"]\n  13 [size=\"169782613\", alpha=\"0.03\", expect_size=\"50934784\"] \n  13 -> 14 [size =\"50934784\"]\n  14 [size=\"32839680\", alpha=\"0.17\", expect_size=\"9851904\"] \n  14 -> 15 [size =\"9851904\"]\n  15 [size=\"101730987\", alpha=\"0.02\", expect_size=\"30519296\"] \n  15 -> 16 [size =\"30519296\"]\n  16 [size=\"25333760\", alpha=\"0.08\", expect_size=\"7600128\"] \n  16 -> 17 [size =\"7600128\"]\n  17 [size=\"53261653\", alpha=\"0.12\", expect_size=\"15978496\"] \n  17 -> 18 [size =\"15978496\"]\n  18 [size=\"82213547\", alpha=\"0.17\", expect_size=\"24664064\"] \n  18 -> 19 [size =\"24664064\"]\n  19 [size=\"28422827\", alpha=\"0.11\", expect_size=\"8526848\"] \n  19 -> 20 [size =\"8526848\"]\n  20 [size=\"141878613\", alpha=\"0.09\", expect_size=\"42563584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37388288\", alpha=\"0.06\", expect_size=\"18694144\"] \n  1 -> 3 [size =\"18694144\"]\n  2 [size=\"61394944\", alpha=\"0.19\", expect_size=\"30697472\"] \n  2 -> 4 [size =\"30697472\"]\n  3 [size=\"46919680\", alpha=\"0.13\", expect_size=\"23459840\"] \n  3 -> 5 [size =\"23459840\"]\n  4 [size=\"78938112\", alpha=\"0.09\", expect_size=\"39469056\"] \n  5 [size=\"69660672\", alpha=\"0.09\", expect_size=\"34830336\"] \n  5 -> 6 [size =\"34830336\"]\n  5 -> 7 [size =\"34830336\"]\n  6 [size=\"75048960\", alpha=\"0.06\", expect_size=\"37524480\"] \n  6 -> 8 [size =\"37524480\"]\n  7 [size=\"49997824\", alpha=\"0.03\", expect_size=\"24998912\"] \n  8 [size=\"51986432\", alpha=\"0.07\", expect_size=\"25993216\"] \n  8 -> 9 [size =\"25993216\"]\n  9 [size=\"103624704\", alpha=\"0.12\", expect_size=\"51812352\"] \n  9 -> 10 [size =\"51812352\"]\n  10 [size=\"17256448\", alpha=\"0.16\", expect_size=\"8628224\"] \n  10 -> 11 [size =\"8628224\"]\n  10 -> 12 [size =\"8628224\"]\n  11 [size=\"67373056\", alpha=\"0.17\", expect_size=\"33686528\"] \n  12 [size=\"97333248\", alpha=\"0.19\", expect_size=\"48666624\"] \n  12 -> 13 [size =\"48666624\"]\n  12 -> 14 [size =\"48666624\"]\n  13 [size=\"93937664\", alpha=\"0.02\", expect_size=\"46968832\"] \n  13 -> 15 [size =\"46968832\"]\n  14 [size=\"63225856\", alpha=\"0.03\", expect_size=\"31612928\"] \n  15 [size=\"11491328\", alpha=\"0.17\", expect_size=\"5745664\"] \n  15 -> 16 [size =\"5745664\"]\n  16 [size=\"54861824\", alpha=\"0.10\", expect_size=\"27430912\"] \n  16 -> 17 [size =\"27430912\"]\n  17 [size=\"81942528\", alpha=\"0.05\", expect_size=\"40971264\"] \n  17 -> 18 [size =\"40971264\"]\n  18 [size=\"94830592\", alpha=\"0.09\", expect_size=\"47415296\"] \n  18 -> 19 [size =\"47415296\"]\n  18 -> 20 [size =\"47415296\"]\n  19 [size=\"33792000\", alpha=\"0.06\", expect_size=\"16896000\"] \n  20 [size=\"89792512\", alpha=\"0.05\", expect_size=\"44896256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79038464\", alpha=\"0.08\", expect_size=\"39519232\"] \n  1 -> 11 [size =\"39519232\"]\n  1 -> 13 [size =\"39519232\"]\n  1 -> 15 [size =\"39519232\"]\n  1 -> 15 [size =\"39519232\"]\n  1 -> 16 [size =\"39519232\"]\n  1 -> 17 [size =\"39519232\"]\n  2 [size=\"43999232\", alpha=\"0.13\", expect_size=\"21999616\"] \n  2 -> 13 [size =\"21999616\"]\n  2 -> 15 [size =\"21999616\"]\n  2 -> 15 [size =\"21999616\"]\n  2 -> 16 [size =\"21999616\"]\n  2 -> 16 [size =\"21999616\"]\n  2 -> 18 [size =\"21999616\"]\n  2 -> 19 [size =\"21999616\"]\n  2 -> 20 [size =\"21999616\"]\n  3 [size=\"33679360\", alpha=\"0.12\", expect_size=\"16839680\"] \n  3 -> 12 [size =\"16839680\"]\n  3 -> 15 [size =\"16839680\"]\n  3 -> 17 [size =\"16839680\"]\n  3 -> 19 [size =\"16839680\"]\n  3 -> 20 [size =\"16839680\"]\n  4 [size=\"49582080\", alpha=\"0.13\", expect_size=\"24791040\"] \n  4 -> 13 [size =\"24791040\"]\n  4 -> 20 [size =\"24791040\"]\n  5 [size=\"34932736\", alpha=\"0.03\", expect_size=\"17466368\"] \n  5 -> 11 [size =\"17466368\"]\n  5 -> 13 [size =\"17466368\"]\n  5 -> 20 [size =\"17466368\"]\n  6 [size=\"15863808\", alpha=\"0.06\", expect_size=\"7931904\"] \n  6 -> 13 [size =\"7931904\"]\n  6 -> 16 [size =\"7931904\"]\n  6 -> 17 [size =\"7931904\"]\n  6 -> 20 [size =\"7931904\"]\n  7 [size=\"59336704\", alpha=\"0.01\", expect_size=\"29668352\"] \n  7 -> 11 [size =\"29668352\"]\n  7 -> 13 [size =\"29668352\"]\n  7 -> 15 [size =\"29668352\"]\n  7 -> 17 [size =\"29668352\"]\n  7 -> 18 [size =\"29668352\"]\n  7 -> 20 [size =\"29668352\"]\n  8 [size=\"53135360\", alpha=\"0.18\", expect_size=\"26567680\"] \n  8 -> 11 [size =\"26567680\"]\n  8 -> 13 [size =\"26567680\"]\n  8 -> 14 [size =\"26567680\"]\n  8 -> 15 [size =\"26567680\"]\n  8 -> 17 [size =\"26567680\"]\n  8 -> 18 [size =\"26567680\"]\n  8 -> 20 [size =\"26567680\"]\n  9 [size=\"60303360\", alpha=\"0.02\", expect_size=\"30151680\"] \n  9 -> 13 [size =\"30151680\"]\n  9 -> 15 [size =\"30151680\"]\n  9 -> 16 [size =\"30151680\"]\n  9 -> 17 [size =\"30151680\"]\n  9 -> 17 [size =\"30151680\"]\n  9 -> 18 [size =\"30151680\"]\n  9 -> 19 [size =\"30151680\"]\n  9 -> 20 [size =\"30151680\"]\n  10 [size=\"37814272\", alpha=\"0.03\", expect_size=\"18907136\"] \n  10 -> 11 [size =\"18907136\"]\n  10 -> 12 [size =\"18907136\"]\n  10 -> 13 [size =\"18907136\"]\n  10 -> 15 [size =\"18907136\"]\n  10 -> 17 [size =\"18907136\"]\n  10 -> 20 [size =\"18907136\"]\n  11 [size=\"43139072\", alpha=\"0.13\", expect_size=\"21569536\"] \n  12 [size=\"79382528\", alpha=\"0.02\", expect_size=\"39691264\"] \n  13 [size=\"44578816\", alpha=\"0.20\", expect_size=\"22289408\"] \n  14 [size=\"100880384\", alpha=\"0.10\", expect_size=\"50440192\"] \n  15 [size=\"65595392\", alpha=\"0.09\", expect_size=\"32797696\"] \n  16 [size=\"81696768\", alpha=\"0.18\", expect_size=\"40848384\"] \n  17 [size=\"13350912\", alpha=\"0.03\", expect_size=\"6675456\"] \n  18 [size=\"19585024\", alpha=\"0.03\", expect_size=\"9792512\"] \n  19 [size=\"103917568\", alpha=\"0.14\", expect_size=\"51958784\"] \n  20 [size=\"21313536\", alpha=\"0.02\", expect_size=\"10656768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41615360\", alpha=\"0.07\", expect_size=\"12484608\"] \n  1 -> 7 [size =\"12484608\"]\n  2 [size=\"28491093\", alpha=\"0.15\", expect_size=\"8547328\"] \n  2 -> 5 [size =\"8547328\"]\n  2 -> 6 [size =\"8547328\"]\n  3 [size=\"144537600\", alpha=\"0.15\", expect_size=\"43361280\"] \n  4 [size=\"72093013\", alpha=\"0.02\", expect_size=\"21627904\"] \n  4 -> 8 [size =\"21627904\"]\n  5 [size=\"75663360\", alpha=\"0.13\", expect_size=\"22699008\"] \n  5 -> 10 [size =\"22699008\"]\n  5 -> 12 [size =\"22699008\"]\n  6 [size=\"151767040\", alpha=\"0.14\", expect_size=\"45530112\"] \n  6 -> 11 [size =\"45530112\"]\n  7 [size=\"165041493\", alpha=\"0.09\", expect_size=\"49512448\"] \n  7 -> 9 [size =\"49512448\"]\n  8 [size=\"167789227\", alpha=\"0.08\", expect_size=\"50336768\"] \n  8 -> 9 [size =\"50336768\"]\n  8 -> 12 [size =\"50336768\"]\n  9 [size=\"109957120\", alpha=\"0.06\", expect_size=\"32987136\"] \n  10 [size=\"83285333\", alpha=\"0.11\", expect_size=\"24985600\"] \n  10 -> 16 [size =\"24985600\"]\n  11 [size=\"129761280\", alpha=\"0.16\", expect_size=\"38928384\"] \n  11 -> 15 [size =\"38928384\"]\n  12 [size=\"28388693\", alpha=\"0.08\", expect_size=\"8516608\"] \n  12 -> 13 [size =\"8516608\"]\n  12 -> 14 [size =\"8516608\"]\n  12 -> 16 [size =\"8516608\"]\n  13 [size=\"144298667\", alpha=\"0.03\", expect_size=\"43289600\"] \n  13 -> 18 [size =\"43289600\"]\n  14 [size=\"103604907\", alpha=\"0.13\", expect_size=\"31081472\"] \n  15 [size=\"116947627\", alpha=\"0.05\", expect_size=\"35084288\"] \n  16 [size=\"63798613\", alpha=\"0.15\", expect_size=\"19139584\"] \n  16 -> 17 [size =\"19139584\"]\n  16 -> 18 [size =\"19139584\"]\n  16 -> 19 [size =\"19139584\"]\n  17 [size=\"173018453\", alpha=\"0.02\", expect_size=\"51905536\"] \n  18 [size=\"86251520\", alpha=\"0.18\", expect_size=\"25875456\"] \n  18 -> 20 [size =\"25875456\"]\n  19 [size=\"152152747\", alpha=\"0.09\", expect_size=\"45645824\"] \n  20 [size=\"42458453\", alpha=\"0.13\", expect_size=\"12737536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50644480\", alpha=\"0.08\", expect_size=\"20257792\"] \n  1 -> 2 [size =\"20257792\"]\n  2 [size=\"125127680\", alpha=\"0.06\", expect_size=\"50051072\"] \n  2 -> 3 [size =\"50051072\"]\n  3 [size=\"117222400\", alpha=\"0.00\", expect_size=\"46888960\"] \n  3 -> 4 [size =\"46888960\"]\n  4 [size=\"20582400\", alpha=\"0.10\", expect_size=\"8232960\"] \n  4 -> 5 [size =\"8232960\"]\n  5 [size=\"45585920\", alpha=\"0.15\", expect_size=\"18234368\"] \n  5 -> 6 [size =\"18234368\"]\n  6 [size=\"60200960\", alpha=\"0.13\", expect_size=\"24080384\"] \n  6 -> 7 [size =\"24080384\"]\n  7 [size=\"38448640\", alpha=\"0.18\", expect_size=\"15379456\"] \n  7 -> 8 [size =\"15379456\"]\n  8 [size=\"113881600\", alpha=\"0.20\", expect_size=\"45552640\"] \n  8 -> 9 [size =\"45552640\"]\n  9 [size=\"35901440\", alpha=\"0.05\", expect_size=\"14360576\"] \n  9 -> 10 [size =\"14360576\"]\n  10 [size=\"83530240\", alpha=\"0.11\", expect_size=\"33412096\"] \n  10 -> 11 [size =\"33412096\"]\n  11 [size=\"16401920\", alpha=\"0.10\", expect_size=\"6560768\"] \n  11 -> 12 [size =\"6560768\"]\n  12 [size=\"61987840\", alpha=\"0.09\", expect_size=\"24795136\"] \n  12 -> 13 [size =\"24795136\"]\n  13 [size=\"99914240\", alpha=\"0.06\", expect_size=\"39965696\"] \n  13 -> 14 [size =\"39965696\"]\n  14 [size=\"100766720\", alpha=\"0.03\", expect_size=\"40306688\"] \n  14 -> 15 [size =\"40306688\"]\n  15 [size=\"39784960\", alpha=\"0.09\", expect_size=\"15913984\"] \n  15 -> 16 [size =\"15913984\"]\n  16 [size=\"128399360\", alpha=\"0.19\", expect_size=\"51359744\"] \n  16 -> 17 [size =\"51359744\"]\n  17 [size=\"84920320\", alpha=\"0.19\", expect_size=\"33968128\"] \n  17 -> 18 [size =\"33968128\"]\n  18 [size=\"70382080\", alpha=\"0.11\", expect_size=\"28152832\"] \n  18 -> 19 [size =\"28152832\"]\n  19 [size=\"69742080\", alpha=\"0.17\", expect_size=\"27896832\"] \n  19 -> 20 [size =\"27896832\"]\n  20 [size=\"101626880\", alpha=\"0.15\", expect_size=\"40650752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74768384\", alpha=\"0.03\", expect_size=\"37384192\"] \n  1 -> 2 [size =\"37384192\"]\n  2 [size=\"70680576\", alpha=\"0.09\", expect_size=\"35340288\"] \n  2 -> 3 [size =\"35340288\"]\n  3 [size=\"16648192\", alpha=\"0.03\", expect_size=\"8324096\"] \n  3 -> 4 [size =\"8324096\"]\n  4 [size=\"90761216\", alpha=\"0.16\", expect_size=\"45380608\"] \n  4 -> 5 [size =\"45380608\"]\n  4 -> 6 [size =\"45380608\"]\n  5 [size=\"79472640\", alpha=\"0.03\", expect_size=\"39736320\"] \n  5 -> 7 [size =\"39736320\"]\n  5 -> 8 [size =\"39736320\"]\n  6 [size=\"14688256\", alpha=\"0.04\", expect_size=\"7344128\"] \n  6 -> 7 [size =\"7344128\"]\n  6 -> 8 [size =\"7344128\"]\n  7 [size=\"18444288\", alpha=\"0.04\", expect_size=\"9222144\"] \n  7 -> 9 [size =\"9222144\"]\n  8 [size=\"82358272\", alpha=\"0.12\", expect_size=\"41179136\"] \n  8 -> 9 [size =\"41179136\"]\n  9 [size=\"89491456\", alpha=\"0.15\", expect_size=\"44745728\"] \n  9 -> 10 [size =\"44745728\"]\n  10 [size=\"31182848\", alpha=\"0.03\", expect_size=\"15591424\"] \n  10 -> 11 [size =\"15591424\"]\n  11 [size=\"97685504\", alpha=\"0.18\", expect_size=\"48842752\"] \n  11 -> 12 [size =\"48842752\"]\n  11 -> 13 [size =\"48842752\"]\n  12 [size=\"16340992\", alpha=\"0.03\", expect_size=\"8170496\"] \n  12 -> 14 [size =\"8170496\"]\n  13 [size=\"58486784\", alpha=\"0.19\", expect_size=\"29243392\"] \n  13 -> 14 [size =\"29243392\"]\n  14 [size=\"74768384\", alpha=\"0.14\", expect_size=\"37384192\"] \n  14 -> 15 [size =\"37384192\"]\n  15 [size=\"53936128\", alpha=\"0.17\", expect_size=\"26968064\"] \n  15 -> 16 [size =\"26968064\"]\n  15 -> 17 [size =\"26968064\"]\n  16 [size=\"69404672\", alpha=\"0.04\", expect_size=\"34702336\"] \n  16 -> 18 [size =\"34702336\"]\n  17 [size=\"87990272\", alpha=\"0.19\", expect_size=\"43995136\"] \n  17 -> 18 [size =\"43995136\"]\n  18 [size=\"10868736\", alpha=\"0.16\", expect_size=\"5434368\"] \n  18 -> 19 [size =\"5434368\"]\n  18 -> 20 [size =\"5434368\"]\n  19 [size=\"65705984\", alpha=\"0.11\", expect_size=\"32852992\"] \n  20 [size=\"40286208\", alpha=\"0.04\", expect_size=\"20143104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66306048\", alpha=\"0.04\", expect_size=\"33153024\"] \n  1 -> 2 [size =\"33153024\"]\n  2 [size=\"96854016\", alpha=\"0.14\", expect_size=\"48427008\"] \n  2 -> 3 [size =\"48427008\"]\n  3 [size=\"76505088\", alpha=\"0.07\", expect_size=\"38252544\"] \n  3 -> 4 [size =\"38252544\"]\n  4 [size=\"38125568\", alpha=\"0.15\", expect_size=\"19062784\"] \n  4 -> 5 [size =\"19062784\"]\n  5 [size=\"72089600\", alpha=\"0.06\", expect_size=\"36044800\"] \n  5 -> 6 [size =\"36044800\"]\n  6 [size=\"11210752\", alpha=\"0.02\", expect_size=\"5605376\"] \n  6 -> 7 [size =\"5605376\"]\n  7 [size=\"57430016\", alpha=\"0.04\", expect_size=\"28715008\"] \n  7 -> 8 [size =\"28715008\"]\n  8 [size=\"26314752\", alpha=\"0.08\", expect_size=\"13157376\"] \n  8 -> 9 [size =\"13157376\"]\n  9 [size=\"77070336\", alpha=\"0.00\", expect_size=\"38535168\"] \n  9 -> 10 [size =\"38535168\"]\n  10 [size=\"88440832\", alpha=\"0.01\", expect_size=\"44220416\"] \n  10 -> 11 [size =\"44220416\"]\n  11 [size=\"94750720\", alpha=\"0.14\", expect_size=\"47375360\"] \n  11 -> 12 [size =\"47375360\"]\n  12 [size=\"17756160\", alpha=\"0.01\", expect_size=\"8878080\"] \n  12 -> 13 [size =\"8878080\"]\n  13 [size=\"85940224\", alpha=\"0.13\", expect_size=\"42970112\"] \n  13 -> 14 [size =\"42970112\"]\n  14 [size=\"25346048\", alpha=\"0.09\", expect_size=\"12673024\"] \n  14 -> 15 [size =\"12673024\"]\n  15 [size=\"97368064\", alpha=\"0.17\", expect_size=\"48684032\"] \n  15 -> 16 [size =\"48684032\"]\n  16 [size=\"31944704\", alpha=\"0.18\", expect_size=\"15972352\"] \n  16 -> 17 [size =\"15972352\"]\n  17 [size=\"43735040\", alpha=\"0.13\", expect_size=\"21867520\"] \n  17 -> 18 [size =\"21867520\"]\n  18 [size=\"62746624\", alpha=\"0.12\", expect_size=\"31373312\"] \n  18 -> 19 [size =\"31373312\"]\n  19 [size=\"101947392\", alpha=\"0.14\", expect_size=\"50973696\"] \n  19 -> 20 [size =\"50973696\"]\n  20 [size=\"103688192\", alpha=\"0.20\", expect_size=\"51844096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129034240\", alpha=\"0.18\", expect_size=\"51613696\"] \n  1 -> 2 [size =\"51613696\"]\n  2 [size=\"118028800\", alpha=\"0.16\", expect_size=\"47211520\"] \n  2 -> 3 [size =\"47211520\"]\n  3 [size=\"82524160\", alpha=\"0.05\", expect_size=\"33009664\"] \n  3 -> 4 [size =\"33009664\"]\n  4 [size=\"93276160\", alpha=\"0.10\", expect_size=\"37310464\"] \n  4 -> 5 [size =\"37310464\"]\n  4 -> 6 [size =\"37310464\"]\n  5 [size=\"17955840\", alpha=\"0.10\", expect_size=\"7182336\"] \n  6 [size=\"32291840\", alpha=\"0.15\", expect_size=\"12916736\"] \n  6 -> 7 [size =\"12916736\"]\n  6 -> 8 [size =\"12916736\"]\n  7 [size=\"53893120\", alpha=\"0.06\", expect_size=\"21557248\"] \n  7 -> 9 [size =\"21557248\"]\n  8 [size=\"58542080\", alpha=\"0.12\", expect_size=\"23416832\"] \n  9 [size=\"87416320\", alpha=\"0.13\", expect_size=\"34966528\"] \n  9 -> 10 [size =\"34966528\"]\n  10 [size=\"89208320\", alpha=\"0.06\", expect_size=\"35683328\"] \n  10 -> 11 [size =\"35683328\"]\n  11 [size=\"32657920\", alpha=\"0.10\", expect_size=\"13063168\"] \n  11 -> 12 [size =\"13063168\"]\n  12 [size=\"22228480\", alpha=\"0.15\", expect_size=\"8891392\"] \n  12 -> 13 [size =\"8891392\"]\n  13 [size=\"114585600\", alpha=\"0.08\", expect_size=\"45834240\"] \n  13 -> 14 [size =\"45834240\"]\n  14 [size=\"28392960\", alpha=\"0.00\", expect_size=\"11357184\"] \n  14 -> 15 [size =\"11357184\"]\n  15 [size=\"88888320\", alpha=\"0.08\", expect_size=\"35555328\"] \n  15 -> 16 [size =\"35555328\"]\n  15 -> 17 [size =\"35555328\"]\n  16 [size=\"30807040\", alpha=\"0.00\", expect_size=\"12322816\"] \n  16 -> 18 [size =\"12322816\"]\n  16 -> 19 [size =\"12322816\"]\n  17 [size=\"120097280\", alpha=\"0.07\", expect_size=\"48038912\"] \n  18 [size=\"39424000\", alpha=\"0.15\", expect_size=\"15769600\"] \n  19 [size=\"111623680\", alpha=\"0.07\", expect_size=\"44649472\"] \n  19 -> 20 [size =\"44649472\"]\n  20 [size=\"69143040\", alpha=\"0.12\", expect_size=\"27657216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138024960\", alpha=\"0.08\", expect_size=\"41407488\"] \n  2 [size=\"83585707\", alpha=\"0.07\", expect_size=\"25075712\"] \n  3 [size=\"147316053\", alpha=\"0.13\", expect_size=\"44194816\"] \n  3 -> 4 [size =\"44194816\"]\n  3 -> 5 [size =\"44194816\"]\n  4 [size=\"88166400\", alpha=\"0.05\", expect_size=\"26449920\"] \n  4 -> 7 [size =\"26449920\"]\n  4 -> 8 [size =\"26449920\"]\n  4 -> 9 [size =\"26449920\"]\n  4 -> 10 [size =\"26449920\"]\n  5 [size=\"66218667\", alpha=\"0.18\", expect_size=\"19865600\"] \n  5 -> 6 [size =\"19865600\"]\n  5 -> 7 [size =\"19865600\"]\n  6 [size=\"159982933\", alpha=\"0.18\", expect_size=\"47994880\"] \n  6 -> 11 [size =\"47994880\"]\n  6 -> 12 [size =\"47994880\"]\n  6 -> 13 [size =\"47994880\"]\n  7 [size=\"134898347\", alpha=\"0.11\", expect_size=\"40469504\"] \n  7 -> 13 [size =\"40469504\"]\n  8 [size=\"84449280\", alpha=\"0.01\", expect_size=\"25334784\"] \n  8 -> 12 [size =\"25334784\"]\n  8 -> 14 [size =\"25334784\"]\n  9 [size=\"138018133\", alpha=\"0.02\", expect_size=\"41405440\"] \n  9 -> 12 [size =\"41405440\"]\n  9 -> 15 [size =\"41405440\"]\n  10 [size=\"116012373\", alpha=\"0.14\", expect_size=\"34803712\"] \n  10 -> 15 [size =\"34803712\"]\n  11 [size=\"38533120\", alpha=\"0.17\", expect_size=\"11559936\"] \n  11 -> 16 [size =\"11559936\"]\n  11 -> 18 [size =\"11559936\"]\n  12 [size=\"103744853\", alpha=\"0.01\", expect_size=\"31123456\"] \n  12 -> 16 [size =\"31123456\"]\n  12 -> 18 [size =\"31123456\"]\n  13 [size=\"160477867\", alpha=\"0.16\", expect_size=\"48143360\"] \n  13 -> 17 [size =\"48143360\"]\n  13 -> 19 [size =\"48143360\"]\n  14 [size=\"107434667\", alpha=\"0.03\", expect_size=\"32230400\"] \n  15 [size=\"144179200\", alpha=\"0.18\", expect_size=\"43253760\"] \n  15 -> 18 [size =\"43253760\"]\n  16 [size=\"127266133\", alpha=\"0.18\", expect_size=\"38179840\"] \n  17 [size=\"113599147\", alpha=\"0.01\", expect_size=\"34079744\"] \n  18 [size=\"43482453\", alpha=\"0.16\", expect_size=\"13044736\"] \n  19 [size=\"53913600\", alpha=\"0.17\", expect_size=\"16174080\"] \n  19 -> 20 [size =\"16174080\"]\n  20 [size=\"66713600\", alpha=\"0.16\", expect_size=\"20014080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65169920\", alpha=\"0.05\", expect_size=\"26067968\"] \n  1 -> 6 [size =\"26067968\"]\n  1 -> 7 [size =\"26067968\"]\n  2 [size=\"15055360\", alpha=\"0.04\", expect_size=\"6022144\"] \n  2 -> 7 [size =\"6022144\"]\n  3 [size=\"33612800\", alpha=\"0.07\", expect_size=\"13445120\"] \n  3 -> 5 [size =\"13445120\"]\n  4 [size=\"28846080\", alpha=\"0.04\", expect_size=\"11538432\"] \n  4 -> 5 [size =\"11538432\"]\n  4 -> 7 [size =\"11538432\"]\n  5 [size=\"101271040\", alpha=\"0.01\", expect_size=\"40508416\"] \n  5 -> 8 [size =\"40508416\"]\n  5 -> 10 [size =\"40508416\"]\n  5 -> 11 [size =\"40508416\"]\n  6 [size=\"15449600\", alpha=\"0.08\", expect_size=\"6179840\"] \n  6 -> 10 [size =\"6179840\"]\n  6 -> 11 [size =\"6179840\"]\n  6 -> 12 [size =\"6179840\"]\n  7 [size=\"29025280\", alpha=\"0.02\", expect_size=\"11610112\"] \n  7 -> 8 [size =\"11610112\"]\n  7 -> 9 [size =\"11610112\"]\n  7 -> 11 [size =\"11610112\"]\n  7 -> 12 [size =\"11610112\"]\n  8 [size=\"125143040\", alpha=\"0.18\", expect_size=\"50057216\"] \n  9 [size=\"32657920\", alpha=\"0.09\", expect_size=\"13063168\"] \n  9 -> 15 [size =\"13063168\"]\n  10 [size=\"72312320\", alpha=\"0.18\", expect_size=\"28924928\"] \n  10 -> 14 [size =\"28924928\"]\n  10 -> 15 [size =\"28924928\"]\n  11 [size=\"67166720\", alpha=\"0.08\", expect_size=\"26866688\"] \n  11 -> 14 [size =\"26866688\"]\n  12 [size=\"97436160\", alpha=\"0.20\", expect_size=\"38974464\"] \n  12 -> 13 [size =\"38974464\"]\n  12 -> 14 [size =\"38974464\"]\n  13 [size=\"123755520\", alpha=\"0.12\", expect_size=\"49502208\"] \n  13 -> 18 [size =\"49502208\"]\n  13 -> 19 [size =\"49502208\"]\n  14 [size=\"46325760\", alpha=\"0.19\", expect_size=\"18530304\"] \n  14 -> 16 [size =\"18530304\"]\n  14 -> 17 [size =\"18530304\"]\n  14 -> 20 [size =\"18530304\"]\n  15 [size=\"70425600\", alpha=\"0.03\", expect_size=\"28170240\"] \n  15 -> 16 [size =\"28170240\"]\n  16 [size=\"74076160\", alpha=\"0.12\", expect_size=\"29630464\"] \n  17 [size=\"120399360\", alpha=\"0.16\", expect_size=\"48159744\"] \n  18 [size=\"130826240\", alpha=\"0.02\", expect_size=\"52330496\"] \n  19 [size=\"119165440\", alpha=\"0.01\", expect_size=\"47666176\"] \n  20 [size=\"54773760\", alpha=\"0.20\", expect_size=\"21909504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151357440\", alpha=\"0.05\", expect_size=\"45407232\"] \n  1 -> 6 [size =\"45407232\"]\n  2 [size=\"56449707\", alpha=\"0.19\", expect_size=\"16934912\"] \n  2 -> 6 [size =\"16934912\"]\n  3 [size=\"167594667\", alpha=\"0.06\", expect_size=\"50278400\"] \n  3 -> 5 [size =\"50278400\"]\n  3 -> 7 [size =\"50278400\"]\n  4 [size=\"108175360\", alpha=\"0.12\", expect_size=\"32452608\"] \n  4 -> 6 [size =\"32452608\"]\n  5 [size=\"153698987\", alpha=\"0.02\", expect_size=\"46109696\"] \n  5 -> 8 [size =\"46109696\"]\n  5 -> 9 [size =\"46109696\"]\n  6 [size=\"66645333\", alpha=\"0.03\", expect_size=\"19993600\"] \n  6 -> 8 [size =\"19993600\"]\n  6 -> 9 [size =\"19993600\"]\n  7 [size=\"27661653\", alpha=\"0.14\", expect_size=\"8298496\"] \n  7 -> 8 [size =\"8298496\"]\n  7 -> 9 [size =\"8298496\"]\n  8 [size=\"113121280\", alpha=\"0.04\", expect_size=\"33936384\"] \n  8 -> 10 [size =\"33936384\"]\n  8 -> 12 [size =\"33936384\"]\n  9 [size=\"77684053\", alpha=\"0.06\", expect_size=\"23305216\"] \n  9 -> 10 [size =\"23305216\"]\n  9 -> 11 [size =\"23305216\"]\n  9 -> 12 [size =\"23305216\"]\n  10 [size=\"94562987\", alpha=\"0.14\", expect_size=\"28368896\"] \n  10 -> 13 [size =\"28368896\"]\n  10 -> 14 [size =\"28368896\"]\n  10 -> 15 [size =\"28368896\"]\n  10 -> 16 [size =\"28368896\"]\n  11 [size=\"48926720\", alpha=\"0.06\", expect_size=\"14678016\"] \n  11 -> 14 [size =\"14678016\"]\n  11 -> 16 [size =\"14678016\"]\n  12 [size=\"89514667\", alpha=\"0.06\", expect_size=\"26854400\"] \n  12 -> 13 [size =\"26854400\"]\n  12 -> 16 [size =\"26854400\"]\n  13 [size=\"78400853\", alpha=\"0.19\", expect_size=\"23520256\"] \n  14 [size=\"123381760\", alpha=\"0.14\", expect_size=\"37014528\"] \n  14 -> 17 [size =\"37014528\"]\n  15 [size=\"57340587\", alpha=\"0.18\", expect_size=\"17202176\"] \n  15 -> 18 [size =\"17202176\"]\n  16 [size=\"76117333\", alpha=\"0.06\", expect_size=\"22835200\"] \n  16 -> 19 [size =\"22835200\"]\n  17 [size=\"101290667\", alpha=\"0.13\", expect_size=\"30387200\"] \n  18 [size=\"54292480\", alpha=\"0.09\", expect_size=\"16287744\"] \n  19 [size=\"89149440\", alpha=\"0.09\", expect_size=\"26744832\"] \n  19 -> 20 [size =\"26744832\"]\n  20 [size=\"134656000\", alpha=\"0.05\", expect_size=\"40396800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39833600\", alpha=\"0.14\", expect_size=\"11950080\"] \n  1 -> 7 [size =\"11950080\"]\n  1 -> 8 [size =\"11950080\"]\n  1 -> 9 [size =\"11950080\"]\n  1 -> 10 [size =\"11950080\"]\n  1 -> 11 [size =\"11950080\"]\n  1 -> 12 [size =\"11950080\"]\n  2 [size=\"155054080\", alpha=\"0.12\", expect_size=\"46516224\"] \n  2 -> 7 [size =\"46516224\"]\n  2 -> 9 [size =\"46516224\"]\n  2 -> 9 [size =\"46516224\"]\n  2 -> 12 [size =\"46516224\"]\n  3 [size=\"87152640\", alpha=\"0.06\", expect_size=\"26145792\"] \n  3 -> 8 [size =\"26145792\"]\n  3 -> 9 [size =\"26145792\"]\n  3 -> 10 [size =\"26145792\"]\n  3 -> 11 [size =\"26145792\"]\n  4 [size=\"64341333\", alpha=\"0.16\", expect_size=\"19302400\"] \n  4 -> 7 [size =\"19302400\"]\n  4 -> 10 [size =\"19302400\"]\n  4 -> 11 [size =\"19302400\"]\n  4 -> 11 [size =\"19302400\"]\n  4 -> 12 [size =\"19302400\"]\n  5 [size=\"27333973\", alpha=\"0.05\", expect_size=\"8200192\"] \n  5 -> 7 [size =\"8200192\"]\n  5 -> 9 [size =\"8200192\"]\n  5 -> 11 [size =\"8200192\"]\n  5 -> 12 [size =\"8200192\"]\n  6 [size=\"56313173\", alpha=\"0.03\", expect_size=\"16893952\"] \n  6 -> 9 [size =\"16893952\"]\n  6 -> 10 [size =\"16893952\"]\n  6 -> 11 [size =\"16893952\"]\n  6 -> 12 [size =\"16893952\"]\n  7 [size=\"115305813\", alpha=\"0.17\", expect_size=\"34591744\"] \n  7 -> 13 [size =\"34591744\"]\n  7 -> 14 [size =\"34591744\"]\n  7 -> 16 [size =\"34591744\"]\n  8 [size=\"142892373\", alpha=\"0.14\", expect_size=\"42867712\"] \n  8 -> 13 [size =\"42867712\"]\n  8 -> 14 [size =\"42867712\"]\n  8 -> 17 [size =\"42867712\"]\n  9 [size=\"63839573\", alpha=\"0.00\", expect_size=\"19151872\"] \n  9 -> 13 [size =\"19151872\"]\n  9 -> 14 [size =\"19151872\"]\n  9 -> 15 [size =\"19151872\"]\n  10 [size=\"114196480\", alpha=\"0.04\", expect_size=\"34258944\"] \n  10 -> 13 [size =\"34258944\"]\n  10 -> 17 [size =\"34258944\"]\n  11 [size=\"164597760\", alpha=\"0.06\", expect_size=\"49379328\"] \n  12 [size=\"116538027\", alpha=\"0.17\", expect_size=\"34961408\"] \n  12 -> 14 [size =\"34961408\"]\n  13 [size=\"54254933\", alpha=\"0.11\", expect_size=\"16276480\"] \n  13 -> 19 [size =\"16276480\"]\n  13 -> 20 [size =\"16276480\"]\n  14 [size=\"99689813\", alpha=\"0.09\", expect_size=\"29906944\"] \n  14 -> 20 [size =\"29906944\"]\n  15 [size=\"66304000\", alpha=\"0.10\", expect_size=\"19891200\"] \n  15 -> 18 [size =\"19891200\"]\n  15 -> 20 [size =\"19891200\"]\n  16 [size=\"106277547\", alpha=\"0.15\", expect_size=\"31883264\"] \n  16 -> 19 [size =\"31883264\"]\n  16 -> 20 [size =\"31883264\"]\n  17 [size=\"131563520\", alpha=\"0.08\", expect_size=\"39469056\"] \n  17 -> 19 [size =\"39469056\"]\n  17 -> 20 [size =\"39469056\"]\n  18 [size=\"109390507\", alpha=\"0.20\", expect_size=\"32817152\"] \n  19 [size=\"58572800\", alpha=\"0.00\", expect_size=\"17571840\"] \n  20 [size=\"59313493\", alpha=\"0.08\", expect_size=\"17794048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129707520\", alpha=\"0.05\", expect_size=\"51883008\"] \n  2 [size=\"35814400\", alpha=\"0.19\", expect_size=\"14325760\"] \n  3 [size=\"64624640\", alpha=\"0.18\", expect_size=\"25849856\"] \n  4 [size=\"102883840\", alpha=\"0.04\", expect_size=\"41153536\"] \n  5 [size=\"19107840\", alpha=\"0.14\", expect_size=\"7643136\"] \n  6 [size=\"122936320\", alpha=\"0.19\", expect_size=\"49174528\"] \n  7 [size=\"34196480\", alpha=\"0.14\", expect_size=\"13678592\"] \n  8 [size=\"37250560\", alpha=\"0.12\", expect_size=\"14900224\"] \n  9 [size=\"13888000\", alpha=\"0.01\", expect_size=\"5555200\"] \n  10 [size=\"104243200\", alpha=\"0.19\", expect_size=\"41697280\"] \n  11 [size=\"102686720\", alpha=\"0.02\", expect_size=\"41074688\"] \n  12 [size=\"13268480\", alpha=\"0.19\", expect_size=\"5307392\"] \n  13 [size=\"122421760\", alpha=\"0.13\", expect_size=\"48968704\"] \n  14 [size=\"112939520\", alpha=\"0.20\", expect_size=\"45175808\"] \n  15 [size=\"21263360\", alpha=\"0.02\", expect_size=\"8505344\"] \n  16 [size=\"103201280\", alpha=\"0.18\", expect_size=\"41280512\"] \n  17 [size=\"97804800\", alpha=\"0.04\", expect_size=\"39121920\"] \n  18 [size=\"64023040\", alpha=\"0.06\", expect_size=\"25609216\"] \n  19 [size=\"17172480\", alpha=\"0.02\", expect_size=\"6868992\"] \n  20 [size=\"25820160\", alpha=\"0.11\", expect_size=\"10328064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36845568\", alpha=\"0.11\", expect_size=\"18422784\"] \n  1 -> 15 [size =\"18422784\"]\n  1 -> 18 [size =\"18422784\"]\n  1 -> 19 [size =\"18422784\"]\n  2 [size=\"36122624\", alpha=\"0.01\", expect_size=\"18061312\"] \n  2 -> 15 [size =\"18061312\"]\n  2 -> 16 [size =\"18061312\"]\n  2 -> 18 [size =\"18061312\"]\n  2 -> 19 [size =\"18061312\"]\n  2 -> 20 [size =\"18061312\"]\n  3 [size=\"44066816\", alpha=\"0.16\", expect_size=\"22033408\"] \n  3 -> 18 [size =\"22033408\"]\n  3 -> 19 [size =\"22033408\"]\n  3 -> 20 [size =\"22033408\"]\n  4 [size=\"24897536\", alpha=\"0.13\", expect_size=\"12448768\"] \n  4 -> 18 [size =\"12448768\"]\n  4 -> 20 [size =\"12448768\"]\n  5 [size=\"66344960\", alpha=\"0.06\", expect_size=\"33172480\"] \n  5 -> 18 [size =\"33172480\"]\n  6 [size=\"42891264\", alpha=\"0.00\", expect_size=\"21445632\"] \n  7 [size=\"101668864\", alpha=\"0.02\", expect_size=\"50834432\"] \n  7 -> 16 [size =\"50834432\"]\n  7 -> 17 [size =\"50834432\"]\n  8 [size=\"45961216\", alpha=\"0.10\", expect_size=\"22980608\"] \n  9 [size=\"31717376\", alpha=\"0.19\", expect_size=\"15858688\"] \n  10 [size=\"16920576\", alpha=\"0.14\", expect_size=\"8460288\"] \n  10 -> 18 [size =\"8460288\"]\n  11 [size=\"46915584\", alpha=\"0.01\", expect_size=\"23457792\"] \n  12 [size=\"100173824\", alpha=\"0.14\", expect_size=\"50086912\"] \n  12 -> 17 [size =\"50086912\"]\n  12 -> 18 [size =\"50086912\"]\n  13 [size=\"103118848\", alpha=\"0.06\", expect_size=\"51559424\"] \n  13 -> 17 [size =\"51559424\"]\n  13 -> 20 [size =\"51559424\"]\n  14 [size=\"82849792\", alpha=\"0.17\", expect_size=\"41424896\"] \n  14 -> 18 [size =\"41424896\"]\n  15 [size=\"50821120\", alpha=\"0.19\", expect_size=\"25410560\"] \n  16 [size=\"79282176\", alpha=\"0.06\", expect_size=\"39641088\"] \n  17 [size=\"80343040\", alpha=\"0.13\", expect_size=\"40171520\"] \n  18 [size=\"91740160\", alpha=\"0.05\", expect_size=\"45870080\"] \n  19 [size=\"42461184\", alpha=\"0.14\", expect_size=\"21230592\"] \n  20 [size=\"39886848\", alpha=\"0.18\", expect_size=\"19943424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68730880\", alpha=\"0.11\", expect_size=\"34365440\"] \n  1 -> 2 [size =\"34365440\"]\n  2 [size=\"69550080\", alpha=\"0.19\", expect_size=\"34775040\"] \n  2 -> 3 [size =\"34775040\"]\n  3 [size=\"25018368\", alpha=\"0.03\", expect_size=\"12509184\"] \n  3 -> 4 [size =\"12509184\"]\n  4 [size=\"77248512\", alpha=\"0.12\", expect_size=\"38624256\"] \n  4 -> 5 [size =\"38624256\"]\n  5 [size=\"43882496\", alpha=\"0.12\", expect_size=\"21941248\"] \n  5 -> 6 [size =\"21941248\"]\n  6 [size=\"37777408\", alpha=\"0.20\", expect_size=\"18888704\"] \n  6 -> 7 [size =\"18888704\"]\n  7 [size=\"49541120\", alpha=\"0.05\", expect_size=\"24770560\"] \n  7 -> 8 [size =\"24770560\"]\n  8 [size=\"31434752\", alpha=\"0.12\", expect_size=\"15717376\"] \n  8 -> 9 [size =\"15717376\"]\n  9 [size=\"56801280\", alpha=\"0.03\", expect_size=\"28400640\"] \n  9 -> 10 [size =\"28400640\"]\n  10 [size=\"72859648\", alpha=\"0.08\", expect_size=\"36429824\"] \n  10 -> 11 [size =\"36429824\"]\n  11 [size=\"10680320\", alpha=\"0.07\", expect_size=\"5340160\"] \n  11 -> 12 [size =\"5340160\"]\n  12 [size=\"61034496\", alpha=\"0.07\", expect_size=\"30517248\"] \n  12 -> 13 [size =\"30517248\"]\n  13 [size=\"55812096\", alpha=\"0.15\", expect_size=\"27906048\"] \n  13 -> 14 [size =\"27906048\"]\n  14 [size=\"71589888\", alpha=\"0.03\", expect_size=\"35794944\"] \n  14 -> 15 [size =\"35794944\"]\n  15 [size=\"33069056\", alpha=\"0.10\", expect_size=\"16534528\"] \n  15 -> 16 [size =\"16534528\"]\n  16 [size=\"91521024\", alpha=\"0.00\", expect_size=\"45760512\"] \n  16 -> 17 [size =\"45760512\"]\n  17 [size=\"91039744\", alpha=\"0.10\", expect_size=\"45519872\"] \n  17 -> 18 [size =\"45519872\"]\n  18 [size=\"21258240\", alpha=\"0.10\", expect_size=\"10629120\"] \n  18 -> 19 [size =\"10629120\"]\n  19 [size=\"77651968\", alpha=\"0.01\", expect_size=\"38825984\"] \n  19 -> 20 [size =\"38825984\"]\n  20 [size=\"91002880\", alpha=\"0.09\", expect_size=\"45501440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172974080\", alpha=\"0.06\", expect_size=\"51892224\"] \n  1 -> 11 [size =\"51892224\"]\n  1 -> 12 [size =\"51892224\"]\n  1 -> 13 [size =\"51892224\"]\n  1 -> 15 [size =\"51892224\"]\n  1 -> 19 [size =\"51892224\"]\n  1 -> 20 [size =\"51892224\"]\n  2 [size=\"41622187\", alpha=\"0.14\", expect_size=\"12486656\"] \n  2 -> 11 [size =\"12486656\"]\n  2 -> 12 [size =\"12486656\"]\n  2 -> 13 [size =\"12486656\"]\n  2 -> 16 [size =\"12486656\"]\n  2 -> 20 [size =\"12486656\"]\n  3 [size=\"29463893\", alpha=\"0.16\", expect_size=\"8839168\"] \n  3 -> 10 [size =\"8839168\"]\n  3 -> 11 [size =\"8839168\"]\n  3 -> 12 [size =\"8839168\"]\n  3 -> 14 [size =\"8839168\"]\n  3 -> 15 [size =\"8839168\"]\n  3 -> 16 [size =\"8839168\"]\n  3 -> 17 [size =\"8839168\"]\n  3 -> 18 [size =\"8839168\"]\n  3 -> 19 [size =\"8839168\"]\n  3 -> 20 [size =\"8839168\"]\n  4 [size=\"143080107\", alpha=\"0.07\", expect_size=\"42924032\"] \n  4 -> 10 [size =\"42924032\"]\n  4 -> 12 [size =\"42924032\"]\n  4 -> 12 [size =\"42924032\"]\n  4 -> 14 [size =\"42924032\"]\n  4 -> 15 [size =\"42924032\"]\n  4 -> 16 [size =\"42924032\"]\n  4 -> 17 [size =\"42924032\"]\n  4 -> 20 [size =\"42924032\"]\n  5 [size=\"104997547\", alpha=\"0.01\", expect_size=\"31499264\"] \n  5 -> 10 [size =\"31499264\"]\n  5 -> 12 [size =\"31499264\"]\n  5 -> 13 [size =\"31499264\"]\n  5 -> 14 [size =\"31499264\"]\n  5 -> 16 [size =\"31499264\"]\n  5 -> 16 [size =\"31499264\"]\n  5 -> 17 [size =\"31499264\"]\n  5 -> 20 [size =\"31499264\"]\n  6 [size=\"80151893\", alpha=\"0.03\", expect_size=\"24045568\"] \n  6 -> 10 [size =\"24045568\"]\n  6 -> 11 [size =\"24045568\"]\n  6 -> 12 [size =\"24045568\"]\n  6 -> 14 [size =\"24045568\"]\n  6 -> 15 [size =\"24045568\"]\n  6 -> 17 [size =\"24045568\"]\n  6 -> 19 [size =\"24045568\"]\n  6 -> 20 [size =\"24045568\"]\n  7 [size=\"57364480\", alpha=\"0.09\", expect_size=\"17209344\"] \n  7 -> 11 [size =\"17209344\"]\n  7 -> 14 [size =\"17209344\"]\n  7 -> 15 [size =\"17209344\"]\n  7 -> 17 [size =\"17209344\"]\n  7 -> 20 [size =\"17209344\"]\n  8 [size=\"73830400\", alpha=\"0.08\", expect_size=\"22149120\"] \n  8 -> 11 [size =\"22149120\"]\n  8 -> 12 [size =\"22149120\"]\n  8 -> 14 [size =\"22149120\"]\n  8 -> 19 [size =\"22149120\"]\n  8 -> 20 [size =\"22149120\"]\n  9 [size=\"105861120\", alpha=\"0.07\", expect_size=\"31758336\"] \n  9 -> 11 [size =\"31758336\"]\n  9 -> 13 [size =\"31758336\"]\n  9 -> 15 [size =\"31758336\"]\n  9 -> 16 [size =\"31758336\"]\n  9 -> 17 [size =\"31758336\"]\n  9 -> 20 [size =\"31758336\"]\n  10 [size=\"146688000\", alpha=\"0.20\", expect_size=\"44006400\"] \n  11 [size=\"142004907\", alpha=\"0.03\", expect_size=\"42601472\"] \n  12 [size=\"32006827\", alpha=\"0.15\", expect_size=\"9602048\"] \n  13 [size=\"143926613\", alpha=\"0.04\", expect_size=\"43177984\"] \n  14 [size=\"116152320\", alpha=\"0.16\", expect_size=\"34845696\"] \n  15 [size=\"174056107\", alpha=\"0.15\", expect_size=\"52216832\"] \n  16 [size=\"21258240\", alpha=\"0.08\", expect_size=\"6377472\"] \n  17 [size=\"46298453\", alpha=\"0.09\", expect_size=\"13889536\"] \n  18 [size=\"114356907\", alpha=\"0.19\", expect_size=\"34307072\"] \n  19 [size=\"19305813\", alpha=\"0.04\", expect_size=\"5791744\"] \n  20 [size=\"73314987\", alpha=\"0.17\", expect_size=\"21994496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67017387\", alpha=\"0.14\", expect_size=\"20105216\"] \n  2 [size=\"111646720\", alpha=\"0.12\", expect_size=\"33494016\"] \n  2 -> 4 [size =\"33494016\"]\n  2 -> 5 [size =\"33494016\"]\n  3 [size=\"85947733\", alpha=\"0.11\", expect_size=\"25784320\"] \n  3 -> 5 [size =\"25784320\"]\n  3 -> 6 [size =\"25784320\"]\n  4 [size=\"154948267\", alpha=\"0.08\", expect_size=\"46484480\"] \n  4 -> 8 [size =\"46484480\"]\n  5 [size=\"96590507\", alpha=\"0.18\", expect_size=\"28977152\"] \n  5 -> 7 [size =\"28977152\"]\n  5 -> 9 [size =\"28977152\"]\n  6 [size=\"41243307\", alpha=\"0.12\", expect_size=\"12372992\"] \n  6 -> 7 [size =\"12372992\"]\n  7 [size=\"165942613\", alpha=\"0.19\", expect_size=\"49782784\"] \n  7 -> 10 [size =\"49782784\"]\n  7 -> 11 [size =\"49782784\"]\n  7 -> 13 [size =\"49782784\"]\n  8 [size=\"118490453\", alpha=\"0.19\", expect_size=\"35547136\"] \n  8 -> 12 [size =\"35547136\"]\n  9 [size=\"74984107\", alpha=\"0.05\", expect_size=\"22495232\"] \n  9 -> 10 [size =\"22495232\"]\n  9 -> 11 [size =\"22495232\"]\n  9 -> 13 [size =\"22495232\"]\n  10 [size=\"89340587\", alpha=\"0.18\", expect_size=\"26802176\"] \n  11 [size=\"103799467\", alpha=\"0.04\", expect_size=\"31139840\"] \n  11 -> 15 [size =\"31139840\"]\n  11 -> 16 [size =\"31139840\"]\n  12 [size=\"53978453\", alpha=\"0.01\", expect_size=\"16193536\"] \n  12 -> 14 [size =\"16193536\"]\n  13 [size=\"151115093\", alpha=\"0.20\", expect_size=\"45334528\"] \n  13 -> 17 [size =\"45334528\"]\n  14 [size=\"77803520\", alpha=\"0.08\", expect_size=\"23341056\"] \n  14 -> 18 [size =\"23341056\"]\n  14 -> 20 [size =\"23341056\"]\n  15 [size=\"143872000\", alpha=\"0.17\", expect_size=\"43161600\"] \n  16 [size=\"126566400\", alpha=\"0.14\", expect_size=\"37969920\"] \n  16 -> 19 [size =\"37969920\"]\n  16 -> 20 [size =\"37969920\"]\n  17 [size=\"62167040\", alpha=\"0.01\", expect_size=\"18650112\"] \n  17 -> 18 [size =\"18650112\"]\n  18 [size=\"57384960\", alpha=\"0.11\", expect_size=\"17215488\"] \n  19 [size=\"47172267\", alpha=\"0.09\", expect_size=\"14151680\"] \n  20 [size=\"83165867\", alpha=\"0.02\", expect_size=\"24949760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77463040\", alpha=\"0.05\", expect_size=\"30985216\"] \n  1 -> 2 [size =\"30985216\"]\n  2 [size=\"112898560\", alpha=\"0.06\", expect_size=\"45159424\"] \n  2 -> 3 [size =\"45159424\"]\n  3 [size=\"119869440\", alpha=\"0.14\", expect_size=\"47947776\"] \n  3 -> 4 [size =\"47947776\"]\n  4 [size=\"81758720\", alpha=\"0.06\", expect_size=\"32703488\"] \n  4 -> 5 [size =\"32703488\"]\n  5 [size=\"96376320\", alpha=\"0.05\", expect_size=\"38550528\"] \n  5 -> 6 [size =\"38550528\"]\n  6 [size=\"41935360\", alpha=\"0.16\", expect_size=\"16774144\"] \n  6 -> 7 [size =\"16774144\"]\n  7 [size=\"29411840\", alpha=\"0.11\", expect_size=\"11764736\"] \n  7 -> 8 [size =\"11764736\"]\n  8 [size=\"72358400\", alpha=\"0.06\", expect_size=\"28943360\"] \n  8 -> 9 [size =\"28943360\"]\n  9 [size=\"81638400\", alpha=\"0.12\", expect_size=\"32655360\"] \n  9 -> 10 [size =\"32655360\"]\n  10 [size=\"53240320\", alpha=\"0.00\", expect_size=\"21296128\"] \n  10 -> 11 [size =\"21296128\"]\n  11 [size=\"90032640\", alpha=\"0.06\", expect_size=\"36013056\"] \n  11 -> 12 [size =\"36013056\"]\n  12 [size=\"119582720\", alpha=\"0.04\", expect_size=\"47833088\"] \n  12 -> 13 [size =\"47833088\"]\n  13 [size=\"39472640\", alpha=\"0.05\", expect_size=\"15789056\"] \n  13 -> 14 [size =\"15789056\"]\n  14 [size=\"124774400\", alpha=\"0.17\", expect_size=\"49909760\"] \n  14 -> 15 [size =\"49909760\"]\n  15 [size=\"41978880\", alpha=\"0.03\", expect_size=\"16791552\"] \n  15 -> 16 [size =\"16791552\"]\n  16 [size=\"71042560\", alpha=\"0.00\", expect_size=\"28417024\"] \n  16 -> 17 [size =\"28417024\"]\n  17 [size=\"46031360\", alpha=\"0.14\", expect_size=\"18412544\"] \n  17 -> 18 [size =\"18412544\"]\n  18 [size=\"112256000\", alpha=\"0.16\", expect_size=\"44902400\"] \n  18 -> 19 [size =\"44902400\"]\n  19 [size=\"30351360\", alpha=\"0.18\", expect_size=\"12140544\"] \n  19 -> 20 [size =\"12140544\"]\n  20 [size=\"101890560\", alpha=\"0.10\", expect_size=\"40756224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143732053\", alpha=\"0.18\", expect_size=\"43119616\"] \n  1 -> 14 [size =\"43119616\"]\n  1 -> 15 [size =\"43119616\"]\n  1 -> 16 [size =\"43119616\"]\n  1 -> 17 [size =\"43119616\"]\n  1 -> 18 [size =\"43119616\"]\n  1 -> 19 [size =\"43119616\"]\n  1 -> 20 [size =\"43119616\"]\n  2 [size=\"92395520\", alpha=\"0.10\", expect_size=\"27718656\"] \n  2 -> 15 [size =\"27718656\"]\n  2 -> 16 [size =\"27718656\"]\n  2 -> 17 [size =\"27718656\"]\n  2 -> 18 [size =\"27718656\"]\n  2 -> 19 [size =\"27718656\"]\n  2 -> 19 [size =\"27718656\"]\n  2 -> 20 [size =\"27718656\"]\n  3 [size=\"81438720\", alpha=\"0.18\", expect_size=\"24431616\"] \n  3 -> 12 [size =\"24431616\"]\n  4 [size=\"59480747\", alpha=\"0.14\", expect_size=\"17844224\"] \n  4 -> 16 [size =\"17844224\"]\n  5 [size=\"17902933\", alpha=\"0.02\", expect_size=\"5370880\"] \n  6 [size=\"92992853\", alpha=\"0.13\", expect_size=\"27897856\"] \n  6 -> 15 [size =\"27897856\"]\n  6 -> 16 [size =\"27897856\"]\n  6 -> 17 [size =\"27897856\"]\n  6 -> 18 [size =\"27897856\"]\n  6 -> 19 [size =\"27897856\"]\n  6 -> 20 [size =\"27897856\"]\n  7 [size=\"124924587\", alpha=\"0.13\", expect_size=\"37477376\"] \n  7 -> 12 [size =\"37477376\"]\n  7 -> 18 [size =\"37477376\"]\n  7 -> 19 [size =\"37477376\"]\n  8 [size=\"29989547\", alpha=\"0.05\", expect_size=\"8996864\"] \n  8 -> 12 [size =\"8996864\"]\n  8 -> 20 [size =\"8996864\"]\n  9 [size=\"145524053\", alpha=\"0.08\", expect_size=\"43657216\"] \n  9 -> 12 [size =\"43657216\"]\n  9 -> 13 [size =\"43657216\"]\n  9 -> 14 [size =\"43657216\"]\n  10 [size=\"48448853\", alpha=\"0.14\", expect_size=\"14534656\"] \n  10 -> 16 [size =\"14534656\"]\n  10 -> 17 [size =\"14534656\"]\n  10 -> 18 [size =\"14534656\"]\n  11 [size=\"118790827\", alpha=\"0.05\", expect_size=\"35637248\"] \n  11 -> 15 [size =\"35637248\"]\n  11 -> 18 [size =\"35637248\"]\n  11 -> 19 [size =\"35637248\"]\n  12 [size=\"103546880\", alpha=\"0.10\", expect_size=\"31064064\"] \n  13 [size=\"21701973\", alpha=\"0.09\", expect_size=\"6510592\"] \n  14 [size=\"159757653\", alpha=\"0.00\", expect_size=\"47927296\"] \n  15 [size=\"108769280\", alpha=\"0.14\", expect_size=\"32630784\"] \n  16 [size=\"126805333\", alpha=\"0.20\", expect_size=\"38041600\"] \n  17 [size=\"68000427\", alpha=\"0.07\", expect_size=\"20400128\"] \n  18 [size=\"169407147\", alpha=\"0.14\", expect_size=\"50822144\"] \n  19 [size=\"53913600\", alpha=\"0.03\", expect_size=\"16174080\"] \n  20 [size=\"115496960\", alpha=\"0.20\", expect_size=\"34649088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40386560\", alpha=\"0.08\", expect_size=\"16154624\"] \n  1 -> 18 [size =\"16154624\"]\n  2 [size=\"70758400\", alpha=\"0.00\", expect_size=\"28303360\"] \n  2 -> 17 [size =\"28303360\"]\n  3 [size=\"26759680\", alpha=\"0.12\", expect_size=\"10703872\"] \n  3 -> 9 [size =\"10703872\"]\n  3 -> 12 [size =\"10703872\"]\n  3 -> 13 [size =\"10703872\"]\n  3 -> 14 [size =\"10703872\"]\n  3 -> 17 [size =\"10703872\"]\n  4 [size=\"54840320\", alpha=\"0.20\", expect_size=\"21936128\"] \n  4 -> 12 [size =\"21936128\"]\n  4 -> 13 [size =\"21936128\"]\n  4 -> 18 [size =\"21936128\"]\n  5 [size=\"89113600\", alpha=\"0.10\", expect_size=\"35645440\"] \n  5 -> 10 [size =\"35645440\"]\n  5 -> 11 [size =\"35645440\"]\n  5 -> 12 [size =\"35645440\"]\n  5 -> 14 [size =\"35645440\"]\n  5 -> 15 [size =\"35645440\"]\n  6 [size=\"34019840\", alpha=\"0.07\", expect_size=\"13607936\"] \n  6 -> 10 [size =\"13607936\"]\n  6 -> 11 [size =\"13607936\"]\n  6 -> 12 [size =\"13607936\"]\n  6 -> 13 [size =\"13607936\"]\n  6 -> 14 [size =\"13607936\"]\n  6 -> 15 [size =\"13607936\"]\n  6 -> 17 [size =\"13607936\"]\n  6 -> 18 [size =\"13607936\"]\n  7 [size=\"130401280\", alpha=\"0.17\", expect_size=\"52160512\"] \n  7 -> 9 [size =\"52160512\"]\n  7 -> 17 [size =\"52160512\"]\n  7 -> 18 [size =\"52160512\"]\n  8 [size=\"112504320\", alpha=\"0.05\", expect_size=\"45001728\"] \n  8 -> 16 [size =\"45001728\"]\n  8 -> 17 [size =\"45001728\"]\n  8 -> 18 [size =\"45001728\"]\n  9 [size=\"112215040\", alpha=\"0.07\", expect_size=\"44886016\"] \n  9 -> 19 [size =\"44886016\"]\n  10 [size=\"23851520\", alpha=\"0.02\", expect_size=\"9540608\"] \n  10 -> 19 [size =\"9540608\"]\n  11 [size=\"13493760\", alpha=\"0.08\", expect_size=\"5397504\"] \n  11 -> 19 [size =\"5397504\"]\n  12 [size=\"63377920\", alpha=\"0.09\", expect_size=\"25351168\"] \n  12 -> 19 [size =\"25351168\"]\n  13 [size=\"66135040\", alpha=\"0.08\", expect_size=\"26454016\"] \n  13 -> 20 [size =\"26454016\"]\n  14 [size=\"18667520\", alpha=\"0.13\", expect_size=\"7467008\"] \n  14 -> 19 [size =\"7467008\"]\n  14 -> 20 [size =\"7467008\"]\n  15 [size=\"17948160\", alpha=\"0.03\", expect_size=\"7179264\"] \n  15 -> 20 [size =\"7179264\"]\n  15 -> 20 [size =\"7179264\"]\n  16 [size=\"79073280\", alpha=\"0.02\", expect_size=\"31629312\"] \n  17 [size=\"119086080\", alpha=\"0.14\", expect_size=\"47634432\"] \n  17 -> 20 [size =\"47634432\"]\n  18 [size=\"99671040\", alpha=\"0.09\", expect_size=\"39868416\"] \n  18 -> 19 [size =\"39868416\"]\n  18 -> 20 [size =\"39868416\"]\n  19 [size=\"129167360\", alpha=\"0.11\", expect_size=\"51666944\"] \n  20 [size=\"51837440\", alpha=\"0.03\", expect_size=\"20734976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55154688\", alpha=\"0.19\", expect_size=\"27577344\"] \n  1 -> 2 [size =\"27577344\"]\n  2 [size=\"63787008\", alpha=\"0.14\", expect_size=\"31893504\"] \n  2 -> 3 [size =\"31893504\"]\n  3 [size=\"25006080\", alpha=\"0.05\", expect_size=\"12503040\"] \n  3 -> 4 [size =\"12503040\"]\n  4 [size=\"53221376\", alpha=\"0.20\", expect_size=\"26610688\"] \n  4 -> 5 [size =\"26610688\"]\n  5 [size=\"15405056\", alpha=\"0.17\", expect_size=\"7702528\"] \n  5 -> 6 [size =\"7702528\"]\n  6 [size=\"75694080\", alpha=\"0.11\", expect_size=\"37847040\"] \n  6 -> 7 [size =\"37847040\"]\n  7 [size=\"90722304\", alpha=\"0.16\", expect_size=\"45361152\"] \n  7 -> 8 [size =\"45361152\"]\n  8 [size=\"35514368\", alpha=\"0.19\", expect_size=\"17757184\"] \n  8 -> 9 [size =\"17757184\"]\n  9 [size=\"24387584\", alpha=\"0.10\", expect_size=\"12193792\"] \n  9 -> 10 [size =\"12193792\"]\n  10 [size=\"103669760\", alpha=\"0.01\", expect_size=\"51834880\"] \n  10 -> 11 [size =\"51834880\"]\n  11 [size=\"34998272\", alpha=\"0.13\", expect_size=\"17499136\"] \n  11 -> 12 [size =\"17499136\"]\n  12 [size=\"30715904\", alpha=\"0.09\", expect_size=\"15357952\"] \n  12 -> 13 [size =\"15357952\"]\n  13 [size=\"95019008\", alpha=\"0.03\", expect_size=\"47509504\"] \n  13 -> 14 [size =\"47509504\"]\n  14 [size=\"25169920\", alpha=\"0.19\", expect_size=\"12584960\"] \n  14 -> 15 [size =\"12584960\"]\n  15 [size=\"23412736\", alpha=\"0.05\", expect_size=\"11706368\"] \n  15 -> 16 [size =\"11706368\"]\n  16 [size=\"103243776\", alpha=\"0.09\", expect_size=\"51621888\"] \n  16 -> 17 [size =\"51621888\"]\n  17 [size=\"60635136\", alpha=\"0.15\", expect_size=\"30317568\"] \n  17 -> 18 [size =\"30317568\"]\n  18 [size=\"44036096\", alpha=\"0.19\", expect_size=\"22018048\"] \n  18 -> 19 [size =\"22018048\"]\n  19 [size=\"41158656\", alpha=\"0.13\", expect_size=\"20579328\"] \n  19 -> 20 [size =\"20579328\"]\n  20 [size=\"90269696\", alpha=\"0.17\", expect_size=\"45134848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53436416\", alpha=\"0.14\", expect_size=\"26718208\"] \n  1 -> 3 [size =\"26718208\"]\n  2 [size=\"64172032\", alpha=\"0.12\", expect_size=\"32086016\"] \n  2 -> 3 [size =\"32086016\"]\n  2 -> 4 [size =\"32086016\"]\n  3 [size=\"21886976\", alpha=\"0.07\", expect_size=\"10943488\"] \n  3 -> 5 [size =\"10943488\"]\n  3 -> 6 [size =\"10943488\"]\n  4 [size=\"86945792\", alpha=\"0.13\", expect_size=\"43472896\"] \n  4 -> 5 [size =\"43472896\"]\n  4 -> 6 [size =\"43472896\"]\n  5 [size=\"17754112\", alpha=\"0.09\", expect_size=\"8877056\"] \n  5 -> 8 [size =\"8877056\"]\n  6 [size=\"65667072\", alpha=\"0.08\", expect_size=\"32833536\"] \n  6 -> 7 [size =\"32833536\"]\n  6 -> 8 [size =\"32833536\"]\n  7 [size=\"58697728\", alpha=\"0.18\", expect_size=\"29348864\"] \n  7 -> 9 [size =\"29348864\"]\n  8 [size=\"59432960\", alpha=\"0.06\", expect_size=\"29716480\"] \n  8 -> 9 [size =\"29716480\"]\n  9 [size=\"83064832\", alpha=\"0.15\", expect_size=\"41532416\"] \n  9 -> 10 [size =\"41532416\"]\n  9 -> 11 [size =\"41532416\"]\n  10 [size=\"29775872\", alpha=\"0.04\", expect_size=\"14887936\"] \n  11 [size=\"75780096\", alpha=\"0.04\", expect_size=\"37890048\"] \n  11 -> 12 [size =\"37890048\"]\n  12 [size=\"48005120\", alpha=\"0.03\", expect_size=\"24002560\"] \n  12 -> 13 [size =\"24002560\"]\n  13 [size=\"104536064\", alpha=\"0.07\", expect_size=\"52268032\"] \n  13 -> 14 [size =\"52268032\"]\n  14 [size=\"44523520\", alpha=\"0.12\", expect_size=\"22261760\"] \n  14 -> 15 [size =\"22261760\"]\n  15 [size=\"11005952\", alpha=\"0.04\", expect_size=\"5502976\"] \n  15 -> 16 [size =\"5502976\"]\n  16 [size=\"53565440\", alpha=\"0.05\", expect_size=\"26782720\"] \n  16 -> 17 [size =\"26782720\"]\n  16 -> 18 [size =\"26782720\"]\n  17 [size=\"90441728\", alpha=\"0.18\", expect_size=\"45220864\"] \n  17 -> 19 [size =\"45220864\"]\n  18 [size=\"80744448\", alpha=\"0.07\", expect_size=\"40372224\"] \n  18 -> 19 [size =\"40372224\"]\n  19 [size=\"16951296\", alpha=\"0.01\", expect_size=\"8475648\"] \n  19 -> 20 [size =\"8475648\"]\n  20 [size=\"89765888\", alpha=\"0.10\", expect_size=\"44882944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78167040\", alpha=\"0.13\", expect_size=\"31266816\"] \n  1 -> 17 [size =\"31266816\"]\n  1 -> 17 [size =\"31266816\"]\n  2 [size=\"126612480\", alpha=\"0.08\", expect_size=\"50644992\"] \n  2 -> 16 [size =\"50644992\"]\n  3 [size=\"23229440\", alpha=\"0.04\", expect_size=\"9291776\"] \n  3 -> 17 [size =\"9291776\"]\n  3 -> 19 [size =\"9291776\"]\n  4 [size=\"20047360\", alpha=\"0.18\", expect_size=\"8018944\"] \n  4 -> 16 [size =\"8018944\"]\n  4 -> 18 [size =\"8018944\"]\n  5 [size=\"111047680\", alpha=\"0.05\", expect_size=\"44419072\"] \n  5 -> 20 [size =\"44419072\"]\n  6 [size=\"65064960\", alpha=\"0.12\", expect_size=\"26025984\"] \n  6 -> 16 [size =\"26025984\"]\n  6 -> 17 [size =\"26025984\"]\n  6 -> 20 [size =\"26025984\"]\n  7 [size=\"57351680\", alpha=\"0.04\", expect_size=\"22940672\"] \n  7 -> 16 [size =\"22940672\"]\n  8 [size=\"41807360\", alpha=\"0.04\", expect_size=\"16722944\"] \n  8 -> 19 [size =\"16722944\"]\n  9 [size=\"94522880\", alpha=\"0.02\", expect_size=\"37809152\"] \n  9 -> 16 [size =\"37809152\"]\n  9 -> 19 [size =\"37809152\"]\n  10 [size=\"25390080\", alpha=\"0.14\", expect_size=\"10156032\"] \n  10 -> 16 [size =\"10156032\"]\n  10 -> 19 [size =\"10156032\"]\n  11 [size=\"14092800\", alpha=\"0.07\", expect_size=\"5637120\"] \n  11 -> 16 [size =\"5637120\"]\n  11 -> 19 [size =\"5637120\"]\n  12 [size=\"89602560\", alpha=\"0.01\", expect_size=\"35841024\"] \n  12 -> 17 [size =\"35841024\"]\n  12 -> 19 [size =\"35841024\"]\n  13 [size=\"19466240\", alpha=\"0.05\", expect_size=\"7786496\"] \n  13 -> 16 [size =\"7786496\"]\n  13 -> 17 [size =\"7786496\"]\n  14 [size=\"44579840\", alpha=\"0.09\", expect_size=\"17831936\"] \n  14 -> 16 [size =\"17831936\"]\n  14 -> 17 [size =\"17831936\"]\n  15 [size=\"30571520\", alpha=\"0.18\", expect_size=\"12228608\"] \n  15 -> 16 [size =\"12228608\"]\n  15 -> 17 [size =\"12228608\"]\n  15 -> 18 [size =\"12228608\"]\n  16 [size=\"59978240\", alpha=\"0.19\", expect_size=\"23991296\"] \n  17 [size=\"15050240\", alpha=\"0.09\", expect_size=\"6020096\"] \n  18 [size=\"36879360\", alpha=\"0.13\", expect_size=\"14751744\"] \n  19 [size=\"63001600\", alpha=\"0.09\", expect_size=\"25200640\"] \n  20 [size=\"75023360\", alpha=\"0.20\", expect_size=\"30009344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39616000\", alpha=\"0.14\", expect_size=\"15846400\"] \n  1 -> 6 [size =\"15846400\"]\n  1 -> 7 [size =\"15846400\"]\n  1 -> 8 [size =\"15846400\"]\n  2 [size=\"95726080\", alpha=\"0.16\", expect_size=\"38290432\"] \n  2 -> 8 [size =\"38290432\"]\n  3 [size=\"84157440\", alpha=\"0.07\", expect_size=\"33662976\"] \n  3 -> 7 [size =\"33662976\"]\n  3 -> 8 [size =\"33662976\"]\n  4 [size=\"14307840\", alpha=\"0.08\", expect_size=\"5723136\"] \n  5 [size=\"26408960\", alpha=\"0.05\", expect_size=\"10563584\"] \n  5 -> 7 [size =\"10563584\"]\n  6 [size=\"107202560\", alpha=\"0.15\", expect_size=\"42881024\"] \n  6 -> 9 [size =\"42881024\"]\n  6 -> 10 [size =\"42881024\"]\n  6 -> 12 [size =\"42881024\"]\n  6 -> 13 [size =\"42881024\"]\n  7 [size=\"128094720\", alpha=\"0.02\", expect_size=\"51237888\"] \n  7 -> 9 [size =\"51237888\"]\n  7 -> 10 [size =\"51237888\"]\n  7 -> 11 [size =\"51237888\"]\n  7 -> 12 [size =\"51237888\"]\n  8 [size=\"78620160\", alpha=\"0.04\", expect_size=\"31448064\"] \n  8 -> 9 [size =\"31448064\"]\n  8 -> 10 [size =\"31448064\"]\n  8 -> 11 [size =\"31448064\"]\n  8 -> 12 [size =\"31448064\"]\n  8 -> 13 [size =\"31448064\"]\n  9 [size=\"51840000\", alpha=\"0.10\", expect_size=\"20736000\"] \n  10 [size=\"32322560\", alpha=\"0.13\", expect_size=\"12929024\"] \n  10 -> 14 [size =\"12929024\"]\n  10 -> 15 [size =\"12929024\"]\n  11 [size=\"104002560\", alpha=\"0.12\", expect_size=\"41601024\"] \n  12 [size=\"69767680\", alpha=\"0.12\", expect_size=\"27907072\"] \n  13 [size=\"49113600\", alpha=\"0.06\", expect_size=\"19645440\"] \n  14 [size=\"91919360\", alpha=\"0.12\", expect_size=\"36767744\"] \n  14 -> 16 [size =\"36767744\"]\n  14 -> 17 [size =\"36767744\"]\n  15 [size=\"22515200\", alpha=\"0.10\", expect_size=\"9006080\"] \n  15 -> 16 [size =\"9006080\"]\n  15 -> 17 [size =\"9006080\"]\n  16 [size=\"50526720\", alpha=\"0.11\", expect_size=\"20210688\"] \n  16 -> 19 [size =\"20210688\"]\n  16 -> 20 [size =\"20210688\"]\n  17 [size=\"20249600\", alpha=\"0.04\", expect_size=\"8099840\"] \n  17 -> 18 [size =\"8099840\"]\n  17 -> 19 [size =\"8099840\"]\n  17 -> 20 [size =\"8099840\"]\n  18 [size=\"31395840\", alpha=\"0.04\", expect_size=\"12558336\"] \n  19 [size=\"56632320\", alpha=\"0.19\", expect_size=\"22652928\"] \n  20 [size=\"113111040\", alpha=\"0.16\", expect_size=\"45244416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31186944\", alpha=\"0.17\", expect_size=\"15593472\"] \n  1 -> 17 [size =\"15593472\"]\n  1 -> 18 [size =\"15593472\"]\n  1 -> 19 [size =\"15593472\"]\n  2 [size=\"32897024\", alpha=\"0.07\", expect_size=\"16448512\"] \n  2 -> 17 [size =\"16448512\"]\n  2 -> 18 [size =\"16448512\"]\n  3 [size=\"90142720\", alpha=\"0.09\", expect_size=\"45071360\"] \n  3 -> 17 [size =\"45071360\"]\n  3 -> 18 [size =\"45071360\"]\n  3 -> 20 [size =\"45071360\"]\n  4 [size=\"15622144\", alpha=\"0.02\", expect_size=\"7811072\"] \n  4 -> 17 [size =\"7811072\"]\n  4 -> 18 [size =\"7811072\"]\n  4 -> 20 [size =\"7811072\"]\n  5 [size=\"50706432\", alpha=\"0.01\", expect_size=\"25353216\"] \n  5 -> 17 [size =\"25353216\"]\n  5 -> 18 [size =\"25353216\"]\n  5 -> 19 [size =\"25353216\"]\n  5 -> 20 [size =\"25353216\"]\n  6 [size=\"65511424\", alpha=\"0.08\", expect_size=\"32755712\"] \n  6 -> 17 [size =\"32755712\"]\n  6 -> 18 [size =\"32755712\"]\n  6 -> 19 [size =\"32755712\"]\n  6 -> 20 [size =\"32755712\"]\n  7 [size=\"81133568\", alpha=\"0.05\", expect_size=\"40566784\"] \n  7 -> 17 [size =\"40566784\"]\n  7 -> 18 [size =\"40566784\"]\n  7 -> 19 [size =\"40566784\"]\n  7 -> 20 [size =\"40566784\"]\n  8 [size=\"60733440\", alpha=\"0.12\", expect_size=\"30366720\"] \n  8 -> 17 [size =\"30366720\"]\n  8 -> 18 [size =\"30366720\"]\n  8 -> 19 [size =\"30366720\"]\n  9 [size=\"102305792\", alpha=\"0.12\", expect_size=\"51152896\"] \n  9 -> 17 [size =\"51152896\"]\n  9 -> 19 [size =\"51152896\"]\n  9 -> 19 [size =\"51152896\"]\n  10 [size=\"27901952\", alpha=\"0.05\", expect_size=\"13950976\"] \n  10 -> 17 [size =\"13950976\"]\n  10 -> 18 [size =\"13950976\"]\n  11 [size=\"98422784\", alpha=\"0.08\", expect_size=\"49211392\"] \n  11 -> 18 [size =\"49211392\"]\n  11 -> 19 [size =\"49211392\"]\n  12 [size=\"86142976\", alpha=\"0.01\", expect_size=\"43071488\"] \n  12 -> 17 [size =\"43071488\"]\n  12 -> 19 [size =\"43071488\"]\n  12 -> 20 [size =\"43071488\"]\n  13 [size=\"23234560\", alpha=\"0.13\", expect_size=\"11617280\"] \n  13 -> 17 [size =\"11617280\"]\n  13 -> 19 [size =\"11617280\"]\n  13 -> 20 [size =\"11617280\"]\n  14 [size=\"65314816\", alpha=\"0.08\", expect_size=\"32657408\"] \n  14 -> 17 [size =\"32657408\"]\n  14 -> 19 [size =\"32657408\"]\n  14 -> 20 [size =\"32657408\"]\n  15 [size=\"72964096\", alpha=\"0.16\", expect_size=\"36482048\"] \n  15 -> 17 [size =\"36482048\"]\n  15 -> 20 [size =\"36482048\"]\n  15 -> 20 [size =\"36482048\"]\n  16 [size=\"78348288\", alpha=\"0.12\", expect_size=\"39174144\"] \n  16 -> 17 [size =\"39174144\"]\n  16 -> 18 [size =\"39174144\"]\n  16 -> 19 [size =\"39174144\"]\n  16 -> 20 [size =\"39174144\"]\n  17 [size=\"22538240\", alpha=\"0.18\", expect_size=\"11269120\"] \n  18 [size=\"46407680\", alpha=\"0.11\", expect_size=\"23203840\"] \n  19 [size=\"101462016\", alpha=\"0.11\", expect_size=\"50731008\"] \n  20 [size=\"64845824\", alpha=\"0.16\", expect_size=\"32422912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85336747\", alpha=\"0.06\", expect_size=\"25601024\"] \n  2 [size=\"170741760\", alpha=\"0.01\", expect_size=\"51222528\"] \n  2 -> 7 [size =\"51222528\"]\n  3 [size=\"48325973\", alpha=\"0.16\", expect_size=\"14497792\"] \n  3 -> 6 [size =\"14497792\"]\n  3 -> 7 [size =\"14497792\"]\n  4 [size=\"85760000\", alpha=\"0.14\", expect_size=\"25728000\"] \n  5 [size=\"135280640\", alpha=\"0.18\", expect_size=\"40584192\"] \n  6 [size=\"124211200\", alpha=\"0.03\", expect_size=\"37263360\"] \n  6 -> 8 [size =\"37263360\"]\n  6 -> 9 [size =\"37263360\"]\n  7 [size=\"27869867\", alpha=\"0.18\", expect_size=\"8360960\"] \n  7 -> 10 [size =\"8360960\"]\n  8 [size=\"68751360\", alpha=\"0.00\", expect_size=\"20625408\"] \n  8 -> 11 [size =\"20625408\"]\n  8 -> 12 [size =\"20625408\"]\n  8 -> 13 [size =\"20625408\"]\n  9 [size=\"48957440\", alpha=\"0.07\", expect_size=\"14687232\"] \n  10 [size=\"94245547\", alpha=\"0.00\", expect_size=\"28273664\"] \n  10 -> 11 [size =\"28273664\"]\n  10 -> 12 [size =\"28273664\"]\n  11 [size=\"152756907\", alpha=\"0.10\", expect_size=\"45827072\"] \n  11 -> 15 [size =\"45827072\"]\n  12 [size=\"40686933\", alpha=\"0.18\", expect_size=\"12206080\"] \n  13 [size=\"49776640\", alpha=\"0.16\", expect_size=\"14932992\"] \n  13 -> 14 [size =\"14932992\"]\n  13 -> 15 [size =\"14932992\"]\n  14 [size=\"20524373\", alpha=\"0.18\", expect_size=\"6157312\"] \n  14 -> 17 [size =\"6157312\"]\n  14 -> 18 [size =\"6157312\"]\n  14 -> 19 [size =\"6157312\"]\n  15 [size=\"132966400\", alpha=\"0.17\", expect_size=\"39889920\"] \n  15 -> 16 [size =\"39889920\"]\n  15 -> 17 [size =\"39889920\"]\n  15 -> 18 [size =\"39889920\"]\n  16 [size=\"120238080\", alpha=\"0.13\", expect_size=\"36071424\"] \n  17 [size=\"146838187\", alpha=\"0.01\", expect_size=\"44051456\"] \n  17 -> 20 [size =\"44051456\"]\n  18 [size=\"129921707\", alpha=\"0.08\", expect_size=\"38976512\"] \n  18 -> 20 [size =\"38976512\"]\n  19 [size=\"130829653\", alpha=\"0.16\", expect_size=\"39248896\"] \n  20 [size=\"26511360\", alpha=\"0.10\", expect_size=\"7953408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162935467\", alpha=\"0.13\", expect_size=\"48880640\"] \n  1 -> 13 [size =\"48880640\"]\n  1 -> 16 [size =\"48880640\"]\n  2 [size=\"31648427\", alpha=\"0.01\", expect_size=\"9494528\"] \n  2 -> 9 [size =\"9494528\"]\n  2 -> 10 [size =\"9494528\"]\n  2 -> 12 [size =\"9494528\"]\n  2 -> 13 [size =\"9494528\"]\n  2 -> 14 [size =\"9494528\"]\n  2 -> 15 [size =\"9494528\"]\n  3 [size=\"167239680\", alpha=\"0.14\", expect_size=\"50171904\"] \n  3 -> 11 [size =\"50171904\"]\n  3 -> 13 [size =\"50171904\"]\n  4 [size=\"73308160\", alpha=\"0.08\", expect_size=\"21992448\"] \n  4 -> 9 [size =\"21992448\"]\n  4 -> 10 [size =\"21992448\"]\n  4 -> 12 [size =\"21992448\"]\n  4 -> 13 [size =\"21992448\"]\n  5 [size=\"131809280\", alpha=\"0.13\", expect_size=\"39542784\"] \n  5 -> 11 [size =\"39542784\"]\n  5 -> 15 [size =\"39542784\"]\n  5 -> 16 [size =\"39542784\"]\n  6 [size=\"32256000\", alpha=\"0.11\", expect_size=\"9676800\"] \n  6 -> 10 [size =\"9676800\"]\n  6 -> 11 [size =\"9676800\"]\n  6 -> 14 [size =\"9676800\"]\n  6 -> 16 [size =\"9676800\"]\n  7 [size=\"99112960\", alpha=\"0.01\", expect_size=\"29733888\"] \n  7 -> 9 [size =\"29733888\"]\n  7 -> 10 [size =\"29733888\"]\n  7 -> 11 [size =\"29733888\"]\n  7 -> 14 [size =\"29733888\"]\n  7 -> 16 [size =\"29733888\"]\n  8 [size=\"114756267\", alpha=\"0.17\", expect_size=\"34426880\"] \n  8 -> 10 [size =\"34426880\"]\n  8 -> 11 [size =\"34426880\"]\n  8 -> 11 [size =\"34426880\"]\n  8 -> 14 [size =\"34426880\"]\n  8 -> 15 [size =\"34426880\"]\n  8 -> 16 [size =\"34426880\"]\n  9 [size=\"60269227\", alpha=\"0.19\", expect_size=\"18080768\"] \n  9 -> 20 [size =\"18080768\"]\n  10 [size=\"52804267\", alpha=\"0.17\", expect_size=\"15841280\"] \n  10 -> 17 [size =\"15841280\"]\n  10 -> 20 [size =\"15841280\"]\n  11 [size=\"121084587\", alpha=\"0.09\", expect_size=\"36325376\"] \n  12 [size=\"62225067\", alpha=\"0.20\", expect_size=\"18667520\"] \n  12 -> 18 [size =\"18667520\"]\n  12 -> 20 [size =\"18667520\"]\n  13 [size=\"73560747\", alpha=\"0.20\", expect_size=\"22068224\"] \n  13 -> 17 [size =\"22068224\"]\n  13 -> 19 [size =\"22068224\"]\n  13 -> 20 [size =\"22068224\"]\n  14 [size=\"27828907\", alpha=\"0.06\", expect_size=\"8348672\"] \n  14 -> 20 [size =\"8348672\"]\n  15 [size=\"90941440\", alpha=\"0.11\", expect_size=\"27282432\"] \n  15 -> 18 [size =\"27282432\"]\n  16 [size=\"35959467\", alpha=\"0.03\", expect_size=\"10787840\"] \n  16 -> 18 [size =\"10787840\"]\n  17 [size=\"122511360\", alpha=\"0.04\", expect_size=\"36753408\"] \n  18 [size=\"127460693\", alpha=\"0.14\", expect_size=\"38238208\"] \n  19 [size=\"100594347\", alpha=\"0.04\", expect_size=\"30178304\"] \n  20 [size=\"94334293\", alpha=\"0.06\", expect_size=\"28300288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64307200\", alpha=\"0.01\", expect_size=\"32153600\"] \n  1 -> 8 [size =\"32153600\"]\n  1 -> 11 [size =\"32153600\"]\n  1 -> 12 [size =\"32153600\"]\n  1 -> 13 [size =\"32153600\"]\n  2 [size=\"40534016\", alpha=\"0.14\", expect_size=\"20267008\"] \n  3 [size=\"22648832\", alpha=\"0.11\", expect_size=\"11324416\"] \n  3 -> 11 [size =\"11324416\"]\n  3 -> 13 [size =\"11324416\"]\n  3 -> 14 [size =\"11324416\"]\n  4 [size=\"73357312\", alpha=\"0.08\", expect_size=\"36678656\"] \n  4 -> 10 [size =\"36678656\"]\n  4 -> 13 [size =\"36678656\"]\n  5 [size=\"72413184\", alpha=\"0.14\", expect_size=\"36206592\"] \n  5 -> 9 [size =\"36206592\"]\n  5 -> 14 [size =\"36206592\"]\n  5 -> 15 [size =\"36206592\"]\n  6 [size=\"104112128\", alpha=\"0.04\", expect_size=\"52056064\"] \n  6 -> 7 [size =\"52056064\"]\n  7 [size=\"23791616\", alpha=\"0.16\", expect_size=\"11895808\"] \n  7 -> 17 [size =\"11895808\"]\n  8 [size=\"66463744\", alpha=\"0.05\", expect_size=\"33231872\"] \n  8 -> 16 [size =\"33231872\"]\n  8 -> 18 [size =\"33231872\"]\n  9 [size=\"74727424\", alpha=\"0.02\", expect_size=\"37363712\"] \n  9 -> 16 [size =\"37363712\"]\n  9 -> 17 [size =\"37363712\"]\n  10 [size=\"55470080\", alpha=\"0.17\", expect_size=\"27735040\"] \n  10 -> 16 [size =\"27735040\"]\n  10 -> 17 [size =\"27735040\"]\n  10 -> 19 [size =\"27735040\"]\n  11 [size=\"12242944\", alpha=\"0.06\", expect_size=\"6121472\"] \n  11 -> 18 [size =\"6121472\"]\n  12 [size=\"18870272\", alpha=\"0.08\", expect_size=\"9435136\"] \n  12 -> 20 [size =\"9435136\"]\n  13 [size=\"83619840\", alpha=\"0.19\", expect_size=\"41809920\"] \n  14 [size=\"39874560\", alpha=\"0.17\", expect_size=\"19937280\"] \n  14 -> 16 [size =\"19937280\"]\n  14 -> 18 [size =\"19937280\"]\n  14 -> 19 [size =\"19937280\"]\n  15 [size=\"76521472\", alpha=\"0.10\", expect_size=\"38260736\"] \n  15 -> 17 [size =\"38260736\"]\n  15 -> 18 [size =\"38260736\"]\n  16 [size=\"46641152\", alpha=\"0.08\", expect_size=\"23320576\"] \n  17 [size=\"65523712\", alpha=\"0.08\", expect_size=\"32761856\"] \n  18 [size=\"44730368\", alpha=\"0.18\", expect_size=\"22365184\"] \n  19 [size=\"68878336\", alpha=\"0.12\", expect_size=\"34439168\"] \n  20 [size=\"77985792\", alpha=\"0.12\", expect_size=\"38992896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127879680\", alpha=\"0.08\", expect_size=\"51151872\"] \n  1 -> 2 [size =\"51151872\"]\n  1 -> 3 [size =\"51151872\"]\n  2 [size=\"81594880\", alpha=\"0.04\", expect_size=\"32637952\"] \n  2 -> 4 [size =\"32637952\"]\n  3 [size=\"117504000\", alpha=\"0.07\", expect_size=\"47001600\"] \n  4 [size=\"102476800\", alpha=\"0.11\", expect_size=\"40990720\"] \n  4 -> 5 [size =\"40990720\"]\n  4 -> 6 [size =\"40990720\"]\n  5 [size=\"20495360\", alpha=\"0.04\", expect_size=\"8198144\"] \n  5 -> 7 [size =\"8198144\"]\n  5 -> 8 [size =\"8198144\"]\n  6 [size=\"23093760\", alpha=\"0.15\", expect_size=\"9237504\"] \n  6 -> 8 [size =\"9237504\"]\n  7 [size=\"98629120\", alpha=\"0.06\", expect_size=\"39451648\"] \n  7 -> 9 [size =\"39451648\"]\n  8 [size=\"116480000\", alpha=\"0.03\", expect_size=\"46592000\"] \n  8 -> 9 [size =\"46592000\"]\n  9 [size=\"118476800\", alpha=\"0.17\", expect_size=\"47390720\"] \n  9 -> 10 [size =\"47390720\"]\n  9 -> 11 [size =\"47390720\"]\n  10 [size=\"95285760\", alpha=\"0.08\", expect_size=\"38114304\"] \n  10 -> 12 [size =\"38114304\"]\n  10 -> 13 [size =\"38114304\"]\n  11 [size=\"20733440\", alpha=\"0.19\", expect_size=\"8293376\"] \n  11 -> 12 [size =\"8293376\"]\n  12 [size=\"65679360\", alpha=\"0.09\", expect_size=\"26271744\"] \n  12 -> 14 [size =\"26271744\"]\n  12 -> 15 [size =\"26271744\"]\n  13 [size=\"92037120\", alpha=\"0.14\", expect_size=\"36814848\"] \n  14 [size=\"16396800\", alpha=\"0.12\", expect_size=\"6558720\"] \n  14 -> 16 [size =\"6558720\"]\n  15 [size=\"79943680\", alpha=\"0.11\", expect_size=\"31977472\"] \n  15 -> 16 [size =\"31977472\"]\n  15 -> 17 [size =\"31977472\"]\n  16 [size=\"103006720\", alpha=\"0.19\", expect_size=\"41202688\"] \n  16 -> 18 [size =\"41202688\"]\n  17 [size=\"73290240\", alpha=\"0.08\", expect_size=\"29316096\"] \n  17 -> 18 [size =\"29316096\"]\n  17 -> 19 [size =\"29316096\"]\n  18 [size=\"109857280\", alpha=\"0.11\", expect_size=\"43942912\"] \n  18 -> 20 [size =\"43942912\"]\n  19 [size=\"129205760\", alpha=\"0.04\", expect_size=\"51682304\"] \n  20 [size=\"114081280\", alpha=\"0.14\", expect_size=\"45632512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90576896\", alpha=\"0.19\", expect_size=\"45288448\"] \n  1 -> 10 [size =\"45288448\"]\n  1 -> 11 [size =\"45288448\"]\n  1 -> 15 [size =\"45288448\"]\n  2 [size=\"82227200\", alpha=\"0.08\", expect_size=\"41113600\"] \n  2 -> 10 [size =\"41113600\"]\n  2 -> 15 [size =\"41113600\"]\n  3 [size=\"54374400\", alpha=\"0.14\", expect_size=\"27187200\"] \n  3 -> 10 [size =\"27187200\"]\n  3 -> 12 [size =\"27187200\"]\n  3 -> 14 [size =\"27187200\"]\n  3 -> 15 [size =\"27187200\"]\n  4 [size=\"35846144\", alpha=\"0.17\", expect_size=\"17923072\"] \n  4 -> 10 [size =\"17923072\"]\n  4 -> 12 [size =\"17923072\"]\n  4 -> 16 [size =\"17923072\"]\n  5 [size=\"104093696\", alpha=\"0.05\", expect_size=\"52046848\"] \n  5 -> 12 [size =\"52046848\"]\n  5 -> 15 [size =\"52046848\"]\n  6 [size=\"82413568\", alpha=\"0.10\", expect_size=\"41206784\"] \n  6 -> 10 [size =\"41206784\"]\n  6 -> 12 [size =\"41206784\"]\n  6 -> 14 [size =\"41206784\"]\n  6 -> 16 [size =\"41206784\"]\n  7 [size=\"44009472\", alpha=\"0.15\", expect_size=\"22004736\"] \n  7 -> 10 [size =\"22004736\"]\n  7 -> 14 [size =\"22004736\"]\n  7 -> 15 [size =\"22004736\"]\n  7 -> 16 [size =\"22004736\"]\n  8 [size=\"11339776\", alpha=\"0.02\", expect_size=\"5669888\"] \n  8 -> 13 [size =\"5669888\"]\n  8 -> 15 [size =\"5669888\"]\n  8 -> 16 [size =\"5669888\"]\n  9 [size=\"53940224\", alpha=\"0.07\", expect_size=\"26970112\"] \n  9 -> 10 [size =\"26970112\"]\n  9 -> 13 [size =\"26970112\"]\n  9 -> 15 [size =\"26970112\"]\n  9 -> 16 [size =\"26970112\"]\n  10 [size=\"51896320\", alpha=\"0.15\", expect_size=\"25948160\"] \n  10 -> 17 [size =\"25948160\"]\n  10 -> 18 [size =\"25948160\"]\n  10 -> 20 [size =\"25948160\"]\n  11 [size=\"75759616\", alpha=\"0.09\", expect_size=\"37879808\"] \n  11 -> 17 [size =\"37879808\"]\n  12 [size=\"71413760\", alpha=\"0.15\", expect_size=\"35706880\"] \n  12 -> 17 [size =\"35706880\"]\n  12 -> 18 [size =\"35706880\"]\n  12 -> 19 [size =\"35706880\"]\n  13 [size=\"15609856\", alpha=\"0.16\", expect_size=\"7804928\"] \n  13 -> 17 [size =\"7804928\"]\n  13 -> 18 [size =\"7804928\"]\n  13 -> 19 [size =\"7804928\"]\n  13 -> 20 [size =\"7804928\"]\n  14 [size=\"80232448\", alpha=\"0.08\", expect_size=\"40116224\"] \n  14 -> 17 [size =\"40116224\"]\n  14 -> 18 [size =\"40116224\"]\n  14 -> 19 [size =\"40116224\"]\n  14 -> 20 [size =\"40116224\"]\n  15 [size=\"66603008\", alpha=\"0.06\", expect_size=\"33301504\"] \n  15 -> 18 [size =\"33301504\"]\n  15 -> 18 [size =\"33301504\"]\n  15 -> 19 [size =\"33301504\"]\n  15 -> 20 [size =\"33301504\"]\n  16 [size=\"89376768\", alpha=\"0.16\", expect_size=\"44688384\"] \n  16 -> 17 [size =\"44688384\"]\n  16 -> 18 [size =\"44688384\"]\n  16 -> 19 [size =\"44688384\"]\n  16 -> 20 [size =\"44688384\"]\n  17 [size=\"41285632\", alpha=\"0.12\", expect_size=\"20642816\"] \n  18 [size=\"19097600\", alpha=\"0.00\", expect_size=\"9548800\"] \n  19 [size=\"28096512\", alpha=\"0.02\", expect_size=\"14048256\"] \n  20 [size=\"61294592\", alpha=\"0.18\", expect_size=\"30647296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70054400\", alpha=\"0.00\", expect_size=\"28021760\"] \n  1 -> 7 [size =\"28021760\"]\n  1 -> 8 [size =\"28021760\"]\n  2 [size=\"29025280\", alpha=\"0.00\", expect_size=\"11610112\"] \n  2 -> 6 [size =\"11610112\"]\n  2 -> 7 [size =\"11610112\"]\n  2 -> 8 [size =\"11610112\"]\n  3 [size=\"80565760\", alpha=\"0.07\", expect_size=\"32226304\"] \n  3 -> 6 [size =\"32226304\"]\n  3 -> 7 [size =\"32226304\"]\n  3 -> 8 [size =\"32226304\"]\n  4 [size=\"120642560\", alpha=\"0.05\", expect_size=\"48257024\"] \n  4 -> 6 [size =\"48257024\"]\n  4 -> 7 [size =\"48257024\"]\n  4 -> 8 [size =\"48257024\"]\n  5 [size=\"89658880\", alpha=\"0.03\", expect_size=\"35863552\"] \n  5 -> 6 [size =\"35863552\"]\n  5 -> 7 [size =\"35863552\"]\n  5 -> 8 [size =\"35863552\"]\n  6 [size=\"67824640\", alpha=\"0.10\", expect_size=\"27129856\"] \n  6 -> 9 [size =\"27129856\"]\n  6 -> 10 [size =\"27129856\"]\n  6 -> 11 [size =\"27129856\"]\n  7 [size=\"127306240\", alpha=\"0.00\", expect_size=\"50922496\"] \n  7 -> 9 [size =\"50922496\"]\n  7 -> 10 [size =\"50922496\"]\n  7 -> 11 [size =\"50922496\"]\n  8 [size=\"113472000\", alpha=\"0.09\", expect_size=\"45388800\"] \n  8 -> 9 [size =\"45388800\"]\n  8 -> 10 [size =\"45388800\"]\n  8 -> 11 [size =\"45388800\"]\n  9 [size=\"33103360\", alpha=\"0.14\", expect_size=\"13241344\"] \n  9 -> 13 [size =\"13241344\"]\n  9 -> 14 [size =\"13241344\"]\n  10 [size=\"75235840\", alpha=\"0.05\", expect_size=\"30094336\"] \n  11 [size=\"121756160\", alpha=\"0.03\", expect_size=\"48702464\"] \n  11 -> 12 [size =\"48702464\"]\n  11 -> 13 [size =\"48702464\"]\n  12 [size=\"123888640\", alpha=\"0.14\", expect_size=\"49555456\"] \n  12 -> 15 [size =\"49555456\"]\n  12 -> 17 [size =\"49555456\"]\n  13 [size=\"124672000\", alpha=\"0.19\", expect_size=\"49868800\"] \n  13 -> 15 [size =\"49868800\"]\n  13 -> 16 [size =\"49868800\"]\n  13 -> 17 [size =\"49868800\"]\n  14 [size=\"46394880\", alpha=\"0.13\", expect_size=\"18557952\"] \n  14 -> 15 [size =\"18557952\"]\n  14 -> 17 [size =\"18557952\"]\n  14 -> 18 [size =\"18557952\"]\n  15 [size=\"77900800\", alpha=\"0.01\", expect_size=\"31160320\"] \n  15 -> 19 [size =\"31160320\"]\n  15 -> 20 [size =\"31160320\"]\n  16 [size=\"93452800\", alpha=\"0.15\", expect_size=\"37381120\"] \n  16 -> 19 [size =\"37381120\"]\n  16 -> 20 [size =\"37381120\"]\n  17 [size=\"34859520\", alpha=\"0.02\", expect_size=\"13943808\"] \n  17 -> 19 [size =\"13943808\"]\n  17 -> 20 [size =\"13943808\"]\n  18 [size=\"36098560\", alpha=\"0.17\", expect_size=\"14439424\"] \n  18 -> 19 [size =\"14439424\"]\n  18 -> 20 [size =\"14439424\"]\n  19 [size=\"92067840\", alpha=\"0.11\", expect_size=\"36827136\"] \n  20 [size=\"54653440\", alpha=\"0.15\", expect_size=\"21861376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87536640\", alpha=\"0.17\", expect_size=\"35014656\"] \n  1 -> 10 [size =\"35014656\"]\n  1 -> 11 [size =\"35014656\"]\n  1 -> 14 [size =\"35014656\"]\n  2 [size=\"96424960\", alpha=\"0.03\", expect_size=\"38569984\"] \n  2 -> 9 [size =\"38569984\"]\n  2 -> 10 [size =\"38569984\"]\n  2 -> 11 [size =\"38569984\"]\n  3 [size=\"49208320\", alpha=\"0.07\", expect_size=\"19683328\"] \n  3 -> 10 [size =\"19683328\"]\n  3 -> 10 [size =\"19683328\"]\n  3 -> 16 [size =\"19683328\"]\n  4 [size=\"116515840\", alpha=\"0.17\", expect_size=\"46606336\"] \n  4 -> 11 [size =\"46606336\"]\n  4 -> 12 [size =\"46606336\"]\n  4 -> 13 [size =\"46606336\"]\n  4 -> 15 [size =\"46606336\"]\n  5 [size=\"111434240\", alpha=\"0.16\", expect_size=\"44573696\"] \n  5 -> 9 [size =\"44573696\"]\n  5 -> 12 [size =\"44573696\"]\n  5 -> 15 [size =\"44573696\"]\n  5 -> 16 [size =\"44573696\"]\n  6 [size=\"17694720\", alpha=\"0.16\", expect_size=\"7077888\"] \n  6 -> 9 [size =\"7077888\"]\n  6 -> 13 [size =\"7077888\"]\n  6 -> 15 [size =\"7077888\"]\n  6 -> 16 [size =\"7077888\"]\n  7 [size=\"22177280\", alpha=\"0.15\", expect_size=\"8870912\"] \n  7 -> 9 [size =\"8870912\"]\n  7 -> 10 [size =\"8870912\"]\n  7 -> 12 [size =\"8870912\"]\n  7 -> 13 [size =\"8870912\"]\n  7 -> 14 [size =\"8870912\"]\n  7 -> 15 [size =\"8870912\"]\n  8 [size=\"123205120\", alpha=\"0.19\", expect_size=\"49282048\"] \n  8 -> 10 [size =\"49282048\"]\n  8 -> 14 [size =\"49282048\"]\n  8 -> 15 [size =\"49282048\"]\n  9 [size=\"101552640\", alpha=\"0.03\", expect_size=\"40621056\"] \n  10 [size=\"61708800\", alpha=\"0.13\", expect_size=\"24683520\"] \n  10 -> 17 [size =\"24683520\"]\n  10 -> 18 [size =\"24683520\"]\n  11 [size=\"57661440\", alpha=\"0.02\", expect_size=\"23064576\"] \n  11 -> 17 [size =\"23064576\"]\n  12 [size=\"38801920\", alpha=\"0.02\", expect_size=\"15520768\"] \n  12 -> 17 [size =\"15520768\"]\n  12 -> 18 [size =\"15520768\"]\n  13 [size=\"54656000\", alpha=\"0.14\", expect_size=\"21862400\"] \n  13 -> 17 [size =\"21862400\"]\n  13 -> 19 [size =\"21862400\"]\n  14 [size=\"94438400\", alpha=\"0.00\", expect_size=\"37775360\"] \n  14 -> 17 [size =\"37775360\"]\n  14 -> 18 [size =\"37775360\"]\n  15 [size=\"74170880\", alpha=\"0.13\", expect_size=\"29668352\"] \n  15 -> 18 [size =\"29668352\"]\n  16 [size=\"51317760\", alpha=\"0.07\", expect_size=\"20527104\"] \n  16 -> 17 [size =\"20527104\"]\n  16 -> 20 [size =\"20527104\"]\n  17 [size=\"26519040\", alpha=\"0.09\", expect_size=\"10607616\"] \n  18 [size=\"116375040\", alpha=\"0.16\", expect_size=\"46550016\"] \n  19 [size=\"110440960\", alpha=\"0.15\", expect_size=\"44176384\"] \n  20 [size=\"125291520\", alpha=\"0.07\", expect_size=\"50116608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63825920\", alpha=\"0.05\", expect_size=\"25530368\"] \n  1 -> 2 [size =\"25530368\"]\n  1 -> 3 [size =\"25530368\"]\n  2 [size=\"129605120\", alpha=\"0.19\", expect_size=\"51842048\"] \n  3 [size=\"16422400\", alpha=\"0.14\", expect_size=\"6568960\"] \n  3 -> 4 [size =\"6568960\"]\n  4 [size=\"76136960\", alpha=\"0.08\", expect_size=\"30454784\"] \n  4 -> 5 [size =\"30454784\"]\n  5 [size=\"48046080\", alpha=\"0.03\", expect_size=\"19218432\"] \n  5 -> 6 [size =\"19218432\"]\n  5 -> 7 [size =\"19218432\"]\n  6 [size=\"30246400\", alpha=\"0.03\", expect_size=\"12098560\"] \n  6 -> 9 [size =\"12098560\"]\n  7 [size=\"76961280\", alpha=\"0.05\", expect_size=\"30784512\"] \n  7 -> 8 [size =\"30784512\"]\n  7 -> 9 [size =\"30784512\"]\n  8 [size=\"109383680\", alpha=\"0.00\", expect_size=\"43753472\"] \n  8 -> 10 [size =\"43753472\"]\n  9 [size=\"101457920\", alpha=\"0.05\", expect_size=\"40583168\"] \n  9 -> 10 [size =\"40583168\"]\n  9 -> 11 [size =\"40583168\"]\n  10 [size=\"99182080\", alpha=\"0.09\", expect_size=\"39672832\"] \n  10 -> 13 [size =\"39672832\"]\n  11 [size=\"62090240\", alpha=\"0.15\", expect_size=\"24836096\"] \n  11 -> 12 [size =\"24836096\"]\n  11 -> 13 [size =\"24836096\"]\n  12 [size=\"92794880\", alpha=\"0.12\", expect_size=\"37117952\"] \n  12 -> 14 [size =\"37117952\"]\n  13 [size=\"85030400\", alpha=\"0.10\", expect_size=\"34012160\"] \n  14 [size=\"49136640\", alpha=\"0.11\", expect_size=\"19654656\"] \n  14 -> 15 [size =\"19654656\"]\n  14 -> 16 [size =\"19654656\"]\n  15 [size=\"96862720\", alpha=\"0.08\", expect_size=\"38745088\"] \n  15 -> 17 [size =\"38745088\"]\n  16 [size=\"115110400\", alpha=\"0.13\", expect_size=\"46044160\"] \n  16 -> 17 [size =\"46044160\"]\n  17 [size=\"16020480\", alpha=\"0.16\", expect_size=\"6408192\"] \n  17 -> 18 [size =\"6408192\"]\n  18 [size=\"43520000\", alpha=\"0.15\", expect_size=\"17408000\"] \n  18 -> 19 [size =\"17408000\"]\n  18 -> 20 [size =\"17408000\"]\n  19 [size=\"45555200\", alpha=\"0.05\", expect_size=\"18222080\"] \n  20 [size=\"76843520\", alpha=\"0.18\", expect_size=\"30737408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16560640\", alpha=\"0.03\", expect_size=\"6624256\"] \n  1 -> 3 [size =\"6624256\"]\n  1 -> 4 [size =\"6624256\"]\n  2 [size=\"53893120\", alpha=\"0.06\", expect_size=\"21557248\"] \n  2 -> 4 [size =\"21557248\"]\n  3 [size=\"53890560\", alpha=\"0.06\", expect_size=\"21556224\"] \n  3 -> 6 [size =\"21556224\"]\n  4 [size=\"123118080\", alpha=\"0.17\", expect_size=\"49247232\"] \n  4 -> 5 [size =\"49247232\"]\n  4 -> 6 [size =\"49247232\"]\n  5 [size=\"101084160\", alpha=\"0.01\", expect_size=\"40433664\"] \n  6 [size=\"109752320\", alpha=\"0.17\", expect_size=\"43900928\"] \n  6 -> 7 [size =\"43900928\"]\n  7 [size=\"63754240\", alpha=\"0.11\", expect_size=\"25501696\"] \n  7 -> 8 [size =\"25501696\"]\n  8 [size=\"112325120\", alpha=\"0.15\", expect_size=\"44930048\"] \n  8 -> 9 [size =\"44930048\"]\n  9 [size=\"71119360\", alpha=\"0.12\", expect_size=\"28447744\"] \n  9 -> 10 [size =\"28447744\"]\n  9 -> 11 [size =\"28447744\"]\n  10 [size=\"88209920\", alpha=\"0.02\", expect_size=\"35283968\"] \n  10 -> 12 [size =\"35283968\"]\n  11 [size=\"86062080\", alpha=\"0.18\", expect_size=\"34424832\"] \n  11 -> 12 [size =\"34424832\"]\n  12 [size=\"106314240\", alpha=\"0.05\", expect_size=\"42525696\"] \n  12 -> 13 [size =\"42525696\"]\n  12 -> 14 [size =\"42525696\"]\n  13 [size=\"25041920\", alpha=\"0.16\", expect_size=\"10016768\"] \n  13 -> 15 [size =\"10016768\"]\n  14 [size=\"59555840\", alpha=\"0.11\", expect_size=\"23822336\"] \n  14 -> 15 [size =\"23822336\"]\n  15 [size=\"41820160\", alpha=\"0.07\", expect_size=\"16728064\"] \n  15 -> 16 [size =\"16728064\"]\n  15 -> 17 [size =\"16728064\"]\n  16 [size=\"45196800\", alpha=\"0.14\", expect_size=\"18078720\"] \n  16 -> 18 [size =\"18078720\"]\n  17 [size=\"30031360\", alpha=\"0.15\", expect_size=\"12012544\"] \n  17 -> 18 [size =\"12012544\"]\n  18 [size=\"94394880\", alpha=\"0.01\", expect_size=\"37757952\"] \n  18 -> 19 [size =\"37757952\"]\n  18 -> 20 [size =\"37757952\"]\n  19 [size=\"66849280\", alpha=\"0.09\", expect_size=\"26739712\"] \n  20 [size=\"21990400\", alpha=\"0.10\", expect_size=\"8796160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164498773\", alpha=\"0.11\", expect_size=\"49349632\"] \n  1 -> 16 [size =\"49349632\"]\n  1 -> 18 [size =\"49349632\"]\n  1 -> 19 [size =\"49349632\"]\n  2 [size=\"24292693\", alpha=\"0.01\", expect_size=\"7287808\"] \n  3 [size=\"66839893\", alpha=\"0.11\", expect_size=\"20051968\"] \n  3 -> 17 [size =\"20051968\"]\n  3 -> 18 [size =\"20051968\"]\n  3 -> 19 [size =\"20051968\"]\n  4 [size=\"39594667\", alpha=\"0.15\", expect_size=\"11878400\"] \n  4 -> 15 [size =\"11878400\"]\n  4 -> 17 [size =\"11878400\"]\n  4 -> 18 [size =\"11878400\"]\n  4 -> 19 [size =\"11878400\"]\n  5 [size=\"149067093\", alpha=\"0.04\", expect_size=\"44720128\"] \n  5 -> 18 [size =\"44720128\"]\n  6 [size=\"84981760\", alpha=\"0.14\", expect_size=\"25494528\"] \n  7 [size=\"75564373\", alpha=\"0.19\", expect_size=\"22669312\"] \n  7 -> 16 [size =\"22669312\"]\n  7 -> 17 [size =\"22669312\"]\n  8 [size=\"91480747\", alpha=\"0.12\", expect_size=\"27444224\"] \n  9 [size=\"95539200\", alpha=\"0.12\", expect_size=\"28661760\"] \n  9 -> 17 [size =\"28661760\"]\n  9 -> 19 [size =\"28661760\"]\n  10 [size=\"67928747\", alpha=\"0.03\", expect_size=\"20378624\"] \n  10 -> 15 [size =\"20378624\"]\n  10 -> 17 [size =\"20378624\"]\n  10 -> 18 [size =\"20378624\"]\n  10 -> 20 [size =\"20378624\"]\n  11 [size=\"160293547\", alpha=\"0.17\", expect_size=\"48088064\"] \n  11 -> 18 [size =\"48088064\"]\n  12 [size=\"88941227\", alpha=\"0.06\", expect_size=\"26682368\"] \n  12 -> 15 [size =\"26682368\"]\n  12 -> 16 [size =\"26682368\"]\n  13 [size=\"93269333\", alpha=\"0.03\", expect_size=\"27980800\"] \n  14 [size=\"18616320\", alpha=\"0.11\", expect_size=\"5584896\"] \n  15 [size=\"138246827\", alpha=\"0.20\", expect_size=\"41474048\"] \n  16 [size=\"168639147\", alpha=\"0.09\", expect_size=\"50591744\"] \n  17 [size=\"121272320\", alpha=\"0.17\", expect_size=\"36381696\"] \n  18 [size=\"112117760\", alpha=\"0.15\", expect_size=\"33635328\"] \n  19 [size=\"49902933\", alpha=\"0.14\", expect_size=\"14970880\"] \n  20 [size=\"147302400\", alpha=\"0.14\", expect_size=\"44190720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105615360\", alpha=\"0.11\", expect_size=\"42246144\"] \n  1 -> 14 [size =\"42246144\"]\n  2 [size=\"91906560\", alpha=\"0.05\", expect_size=\"36762624\"] \n  2 -> 17 [size =\"36762624\"]\n  2 -> 18 [size =\"36762624\"]\n  2 -> 19 [size =\"36762624\"]\n  3 [size=\"68613120\", alpha=\"0.13\", expect_size=\"27445248\"] \n  3 -> 17 [size =\"27445248\"]\n  3 -> 18 [size =\"27445248\"]\n  3 -> 19 [size =\"27445248\"]\n  4 [size=\"49922560\", alpha=\"0.03\", expect_size=\"19969024\"] \n  4 -> 17 [size =\"19969024\"]\n  4 -> 18 [size =\"19969024\"]\n  4 -> 19 [size =\"19969024\"]\n  5 [size=\"46333440\", alpha=\"0.04\", expect_size=\"18533376\"] \n  5 -> 14 [size =\"18533376\"]\n  5 -> 19 [size =\"18533376\"]\n  5 -> 20 [size =\"18533376\"]\n  6 [size=\"59827200\", alpha=\"0.14\", expect_size=\"23930880\"] \n  6 -> 14 [size =\"23930880\"]\n  6 -> 16 [size =\"23930880\"]\n  7 [size=\"40064000\", alpha=\"0.07\", expect_size=\"16025600\"] \n  8 [size=\"71319040\", alpha=\"0.14\", expect_size=\"28527616\"] \n  8 -> 15 [size =\"28527616\"]\n  8 -> 20 [size =\"28527616\"]\n  9 [size=\"97320960\", alpha=\"0.00\", expect_size=\"38928384\"] \n  9 -> 19 [size =\"38928384\"]\n  9 -> 20 [size =\"38928384\"]\n  10 [size=\"14899200\", alpha=\"0.07\", expect_size=\"5959680\"] \n  10 -> 14 [size =\"5959680\"]\n  10 -> 18 [size =\"5959680\"]\n  10 -> 20 [size =\"5959680\"]\n  11 [size=\"17085440\", alpha=\"0.08\", expect_size=\"6834176\"] \n  11 -> 19 [size =\"6834176\"]\n  12 [size=\"83392000\", alpha=\"0.16\", expect_size=\"33356800\"] \n  12 -> 17 [size =\"33356800\"]\n  12 -> 18 [size =\"33356800\"]\n  13 [size=\"112624640\", alpha=\"0.12\", expect_size=\"45049856\"] \n  13 -> 14 [size =\"45049856\"]\n  13 -> 19 [size =\"45049856\"]\n  14 [size=\"71572480\", alpha=\"0.08\", expect_size=\"28628992\"] \n  15 [size=\"87700480\", alpha=\"0.10\", expect_size=\"35080192\"] \n  16 [size=\"112911360\", alpha=\"0.04\", expect_size=\"45164544\"] \n  17 [size=\"74600960\", alpha=\"0.12\", expect_size=\"29840384\"] \n  18 [size=\"115353600\", alpha=\"0.09\", expect_size=\"46141440\"] \n  19 [size=\"81548800\", alpha=\"0.08\", expect_size=\"32619520\"] \n  20 [size=\"83392000\", alpha=\"0.10\", expect_size=\"33356800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28583936\", alpha=\"0.12\", expect_size=\"14291968\"] \n  1 -> 10 [size =\"14291968\"]\n  1 -> 12 [size =\"14291968\"]\n  1 -> 13 [size =\"14291968\"]\n  1 -> 14 [size =\"14291968\"]\n  1 -> 15 [size =\"14291968\"]\n  1 -> 16 [size =\"14291968\"]\n  2 [size=\"19406848\", alpha=\"0.02\", expect_size=\"9703424\"] \n  2 -> 13 [size =\"9703424\"]\n  2 -> 14 [size =\"9703424\"]\n  3 [size=\"103309312\", alpha=\"0.13\", expect_size=\"51654656\"] \n  3 -> 11 [size =\"51654656\"]\n  3 -> 13 [size =\"51654656\"]\n  3 -> 14 [size =\"51654656\"]\n  4 [size=\"18733056\", alpha=\"0.05\", expect_size=\"9366528\"] \n  4 -> 9 [size =\"9366528\"]\n  4 -> 11 [size =\"9366528\"]\n  4 -> 12 [size =\"9366528\"]\n  5 [size=\"11524096\", alpha=\"0.18\", expect_size=\"5762048\"] \n  5 -> 11 [size =\"5762048\"]\n  6 [size=\"65730560\", alpha=\"0.17\", expect_size=\"32865280\"] \n  6 -> 12 [size =\"32865280\"]\n  7 [size=\"11593728\", alpha=\"0.04\", expect_size=\"5796864\"] \n  7 -> 15 [size =\"5796864\"]\n  8 [size=\"83257344\", alpha=\"0.12\", expect_size=\"41628672\"] \n  8 -> 9 [size =\"41628672\"]\n  8 -> 12 [size =\"41628672\"]\n  8 -> 13 [size =\"41628672\"]\n  8 -> 15 [size =\"41628672\"]\n  8 -> 16 [size =\"41628672\"]\n  9 [size=\"40177664\", alpha=\"0.02\", expect_size=\"20088832\"] \n  9 -> 17 [size =\"20088832\"]\n  9 -> 19 [size =\"20088832\"]\n  10 [size=\"89804800\", alpha=\"0.19\", expect_size=\"44902400\"] \n  10 -> 18 [size =\"44902400\"]\n  11 [size=\"31830016\", alpha=\"0.08\", expect_size=\"15915008\"] \n  11 -> 18 [size =\"15915008\"]\n  12 [size=\"88932352\", alpha=\"0.04\", expect_size=\"44466176\"] \n  12 -> 18 [size =\"44466176\"]\n  13 [size=\"96114688\", alpha=\"0.18\", expect_size=\"48057344\"] \n  13 -> 19 [size =\"48057344\"]\n  13 -> 20 [size =\"48057344\"]\n  14 [size=\"61143040\", alpha=\"0.02\", expect_size=\"30571520\"] \n  14 -> 18 [size =\"30571520\"]\n  14 -> 20 [size =\"30571520\"]\n  15 [size=\"85413888\", alpha=\"0.04\", expect_size=\"42706944\"] \n  15 -> 18 [size =\"42706944\"]\n  15 -> 19 [size =\"42706944\"]\n  16 [size=\"77430784\", alpha=\"0.04\", expect_size=\"38715392\"] \n  16 -> 17 [size =\"38715392\"]\n  16 -> 19 [size =\"38715392\"]\n  17 [size=\"64436224\", alpha=\"0.08\", expect_size=\"32218112\"] \n  18 [size=\"85450752\", alpha=\"0.12\", expect_size=\"42725376\"] \n  19 [size=\"49389568\", alpha=\"0.05\", expect_size=\"24694784\"] \n  20 [size=\"61122560\", alpha=\"0.10\", expect_size=\"30561280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42117120\", alpha=\"0.01\", expect_size=\"21058560\"] \n  1 -> 15 [size =\"21058560\"]\n  1 -> 18 [size =\"21058560\"]\n  1 -> 18 [size =\"21058560\"]\n  1 -> 19 [size =\"21058560\"]\n  2 [size=\"87898112\", alpha=\"0.04\", expect_size=\"43949056\"] \n  2 -> 16 [size =\"43949056\"]\n  2 -> 19 [size =\"43949056\"]\n  3 [size=\"25329664\", alpha=\"0.09\", expect_size=\"12664832\"] \n  3 -> 13 [size =\"12664832\"]\n  3 -> 14 [size =\"12664832\"]\n  3 -> 16 [size =\"12664832\"]\n  3 -> 19 [size =\"12664832\"]\n  4 [size=\"94955520\", alpha=\"0.05\", expect_size=\"47477760\"] \n  4 -> 13 [size =\"47477760\"]\n  4 -> 16 [size =\"47477760\"]\n  4 -> 17 [size =\"47477760\"]\n  4 -> 18 [size =\"47477760\"]\n  5 [size=\"51650560\", alpha=\"0.09\", expect_size=\"25825280\"] \n  5 -> 11 [size =\"25825280\"]\n  5 -> 12 [size =\"25825280\"]\n  6 [size=\"102856704\", alpha=\"0.10\", expect_size=\"51428352\"] \n  6 -> 16 [size =\"51428352\"]\n  6 -> 18 [size =\"51428352\"]\n  7 [size=\"22597632\", alpha=\"0.19\", expect_size=\"11298816\"] \n  7 -> 15 [size =\"11298816\"]\n  7 -> 16 [size =\"11298816\"]\n  7 -> 18 [size =\"11298816\"]\n  7 -> 19 [size =\"11298816\"]\n  8 [size=\"80304128\", alpha=\"0.01\", expect_size=\"40152064\"] \n  8 -> 14 [size =\"40152064\"]\n  8 -> 15 [size =\"40152064\"]\n  8 -> 18 [size =\"40152064\"]\n  8 -> 19 [size =\"40152064\"]\n  9 [size=\"78118912\", alpha=\"0.15\", expect_size=\"39059456\"] \n  9 -> 13 [size =\"39059456\"]\n  9 -> 15 [size =\"39059456\"]\n  10 [size=\"18542592\", alpha=\"0.09\", expect_size=\"9271296\"] \n  10 -> 14 [size =\"9271296\"]\n  10 -> 15 [size =\"9271296\"]\n  10 -> 18 [size =\"9271296\"]\n  10 -> 19 [size =\"9271296\"]\n  11 [size=\"17881088\", alpha=\"0.05\", expect_size=\"8940544\"] \n  12 [size=\"22513664\", alpha=\"0.03\", expect_size=\"11256832\"] \n  13 [size=\"40433664\", alpha=\"0.17\", expect_size=\"20216832\"] \n  13 -> 20 [size =\"20216832\"]\n  14 [size=\"83523584\", alpha=\"0.14\", expect_size=\"41761792\"] \n  15 [size=\"12216320\", alpha=\"0.02\", expect_size=\"6108160\"] \n  16 [size=\"54568960\", alpha=\"0.09\", expect_size=\"27284480\"] \n  17 [size=\"102971392\", alpha=\"0.12\", expect_size=\"51485696\"] \n  18 [size=\"100331520\", alpha=\"0.15\", expect_size=\"50165760\"] \n  19 [size=\"104679424\", alpha=\"0.12\", expect_size=\"52339712\"] \n  20 [size=\"82274304\", alpha=\"0.05\", expect_size=\"41137152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30010880\", alpha=\"0.01\", expect_size=\"12004352\"] \n  1 -> 2 [size =\"12004352\"]\n  2 [size=\"95377920\", alpha=\"0.11\", expect_size=\"38151168\"] \n  2 -> 3 [size =\"38151168\"]\n  3 [size=\"65679360\", alpha=\"0.01\", expect_size=\"26271744\"] \n  3 -> 4 [size =\"26271744\"]\n  4 [size=\"56348160\", alpha=\"0.10\", expect_size=\"22539264\"] \n  4 -> 5 [size =\"22539264\"]\n  5 [size=\"114283520\", alpha=\"0.20\", expect_size=\"45713408\"] \n  5 -> 6 [size =\"45713408\"]\n  6 [size=\"74083840\", alpha=\"0.00\", expect_size=\"29633536\"] \n  6 -> 7 [size =\"29633536\"]\n  7 [size=\"75205120\", alpha=\"0.17\", expect_size=\"30082048\"] \n  7 -> 8 [size =\"30082048\"]\n  8 [size=\"39646720\", alpha=\"0.10\", expect_size=\"15858688\"] \n  8 -> 9 [size =\"15858688\"]\n  9 [size=\"31982080\", alpha=\"0.07\", expect_size=\"12792832\"] \n  9 -> 10 [size =\"12792832\"]\n  10 [size=\"124994560\", alpha=\"0.14\", expect_size=\"49997824\"] \n  10 -> 11 [size =\"49997824\"]\n  11 [size=\"81152000\", alpha=\"0.08\", expect_size=\"32460800\"] \n  11 -> 12 [size =\"32460800\"]\n  12 [size=\"85946880\", alpha=\"0.12\", expect_size=\"34378752\"] \n  12 -> 13 [size =\"34378752\"]\n  13 [size=\"34396160\", alpha=\"0.03\", expect_size=\"13758464\"] \n  13 -> 14 [size =\"13758464\"]\n  14 [size=\"38988800\", alpha=\"0.09\", expect_size=\"15595520\"] \n  14 -> 15 [size =\"15595520\"]\n  15 [size=\"99376640\", alpha=\"0.17\", expect_size=\"39750656\"] \n  15 -> 16 [size =\"39750656\"]\n  16 [size=\"96980480\", alpha=\"0.14\", expect_size=\"38792192\"] \n  16 -> 17 [size =\"38792192\"]\n  17 [size=\"98506240\", alpha=\"0.17\", expect_size=\"39402496\"] \n  17 -> 18 [size =\"39402496\"]\n  18 [size=\"78300160\", alpha=\"0.05\", expect_size=\"31320064\"] \n  18 -> 19 [size =\"31320064\"]\n  19 [size=\"20912640\", alpha=\"0.08\", expect_size=\"8365056\"] \n  19 -> 20 [size =\"8365056\"]\n  20 [size=\"62635520\", alpha=\"0.00\", expect_size=\"25054208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103331840\", alpha=\"0.20\", expect_size=\"41332736\"] \n  2 [size=\"41469440\", alpha=\"0.06\", expect_size=\"16587776\"] \n  2 -> 3 [size =\"16587776\"]\n  3 [size=\"111311360\", alpha=\"0.09\", expect_size=\"44524544\"] \n  3 -> 4 [size =\"44524544\"]\n  3 -> 5 [size =\"44524544\"]\n  4 [size=\"30049280\", alpha=\"0.17\", expect_size=\"12019712\"] \n  4 -> 6 [size =\"12019712\"]\n  5 [size=\"69967360\", alpha=\"0.00\", expect_size=\"27986944\"] \n  5 -> 6 [size =\"27986944\"]\n  6 [size=\"75671040\", alpha=\"0.06\", expect_size=\"30268416\"] \n  6 -> 7 [size =\"30268416\"]\n  7 [size=\"40358400\", alpha=\"0.07\", expect_size=\"16143360\"] \n  7 -> 8 [size =\"16143360\"]\n  8 [size=\"90969600\", alpha=\"0.09\", expect_size=\"36387840\"] \n  8 -> 9 [size =\"36387840\"]\n  9 [size=\"21130240\", alpha=\"0.03\", expect_size=\"8452096\"] \n  9 -> 10 [size =\"8452096\"]\n  10 [size=\"91865600\", alpha=\"0.04\", expect_size=\"36746240\"] \n  10 -> 11 [size =\"36746240\"]\n  11 [size=\"57121280\", alpha=\"0.07\", expect_size=\"22848512\"] \n  11 -> 12 [size =\"22848512\"]\n  11 -> 13 [size =\"22848512\"]\n  12 [size=\"57062400\", alpha=\"0.06\", expect_size=\"22824960\"] \n  12 -> 14 [size =\"22824960\"]\n  12 -> 15 [size =\"22824960\"]\n  13 [size=\"91822080\", alpha=\"0.05\", expect_size=\"36728832\"] \n  13 -> 14 [size =\"36728832\"]\n  14 [size=\"26616320\", alpha=\"0.16\", expect_size=\"10646528\"] \n  14 -> 16 [size =\"10646528\"]\n  14 -> 17 [size =\"10646528\"]\n  15 [size=\"129692160\", alpha=\"0.01\", expect_size=\"51876864\"] \n  15 -> 16 [size =\"51876864\"]\n  16 [size=\"130160640\", alpha=\"0.19\", expect_size=\"52064256\"] \n  16 -> 18 [size =\"52064256\"]\n  17 [size=\"50245120\", alpha=\"0.20\", expect_size=\"20098048\"] \n  17 -> 18 [size =\"20098048\"]\n  18 [size=\"91688960\", alpha=\"0.06\", expect_size=\"36675584\"] \n  18 -> 19 [size =\"36675584\"]\n  19 [size=\"27115520\", alpha=\"0.11\", expect_size=\"10846208\"] \n  19 -> 20 [size =\"10846208\"]\n  20 [size=\"47424000\", alpha=\"0.07\", expect_size=\"18969600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81201152\", alpha=\"0.17\", expect_size=\"40600576\"] \n  1 -> 8 [size =\"40600576\"]\n  1 -> 10 [size =\"40600576\"]\n  1 -> 11 [size =\"40600576\"]\n  1 -> 12 [size =\"40600576\"]\n  1 -> 14 [size =\"40600576\"]\n  2 [size=\"102846464\", alpha=\"0.10\", expect_size=\"51423232\"] \n  2 -> 10 [size =\"51423232\"]\n  2 -> 11 [size =\"51423232\"]\n  2 -> 11 [size =\"51423232\"]\n  2 -> 12 [size =\"51423232\"]\n  2 -> 14 [size =\"51423232\"]\n  3 [size=\"25221120\", alpha=\"0.08\", expect_size=\"12610560\"] \n  3 -> 9 [size =\"12610560\"]\n  3 -> 10 [size =\"12610560\"]\n  3 -> 11 [size =\"12610560\"]\n  3 -> 13 [size =\"12610560\"]\n  3 -> 14 [size =\"12610560\"]\n  4 [size=\"38047744\", alpha=\"0.14\", expect_size=\"19023872\"] \n  4 -> 10 [size =\"19023872\"]\n  4 -> 11 [size =\"19023872\"]\n  4 -> 12 [size =\"19023872\"]\n  5 [size=\"74768384\", alpha=\"0.10\", expect_size=\"37384192\"] \n  5 -> 14 [size =\"37384192\"]\n  6 [size=\"69296128\", alpha=\"0.19\", expect_size=\"34648064\"] \n  6 -> 10 [size =\"34648064\"]\n  6 -> 11 [size =\"34648064\"]\n  6 -> 12 [size =\"34648064\"]\n  6 -> 14 [size =\"34648064\"]\n  7 [size=\"98846720\", alpha=\"0.04\", expect_size=\"49423360\"] \n  7 -> 9 [size =\"49423360\"]\n  7 -> 10 [size =\"49423360\"]\n  7 -> 11 [size =\"49423360\"]\n  7 -> 12 [size =\"49423360\"]\n  7 -> 14 [size =\"49423360\"]\n  8 [size=\"66824192\", alpha=\"0.16\", expect_size=\"33412096\"] \n  8 -> 16 [size =\"33412096\"]\n  9 [size=\"44996608\", alpha=\"0.12\", expect_size=\"22498304\"] \n  9 -> 16 [size =\"22498304\"]\n  9 -> 17 [size =\"22498304\"]\n  10 [size=\"81569792\", alpha=\"0.15\", expect_size=\"40784896\"] \n  10 -> 17 [size =\"40784896\"]\n  10 -> 19 [size =\"40784896\"]\n  10 -> 20 [size =\"40784896\"]\n  11 [size=\"15855616\", alpha=\"0.13\", expect_size=\"7927808\"] \n  11 -> 15 [size =\"7927808\"]\n  11 -> 17 [size =\"7927808\"]\n  11 -> 18 [size =\"7927808\"]\n  11 -> 20 [size =\"7927808\"]\n  12 [size=\"97761280\", alpha=\"0.17\", expect_size=\"48880640\"] \n  12 -> 15 [size =\"48880640\"]\n  12 -> 16 [size =\"48880640\"]\n  12 -> 17 [size =\"48880640\"]\n  12 -> 18 [size =\"48880640\"]\n  12 -> 19 [size =\"48880640\"]\n  13 [size=\"52054016\", alpha=\"0.02\", expect_size=\"26027008\"] \n  13 -> 16 [size =\"26027008\"]\n  13 -> 17 [size =\"26027008\"]\n  13 -> 17 [size =\"26027008\"]\n  13 -> 19 [size =\"26027008\"]\n  14 [size=\"91648000\", alpha=\"0.15\", expect_size=\"45824000\"] \n  14 -> 17 [size =\"45824000\"]\n  14 -> 19 [size =\"45824000\"]\n  15 [size=\"61839360\", alpha=\"0.15\", expect_size=\"30919680\"] \n  16 [size=\"16799744\", alpha=\"0.10\", expect_size=\"8399872\"] \n  17 [size=\"10500096\", alpha=\"0.08\", expect_size=\"5250048\"] \n  18 [size=\"27709440\", alpha=\"0.17\", expect_size=\"13854720\"] \n  19 [size=\"101804032\", alpha=\"0.05\", expect_size=\"50902016\"] \n  20 [size=\"66154496\", alpha=\"0.02\", expect_size=\"33077248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118228480\", alpha=\"0.16\", expect_size=\"47291392\"] \n  1 -> 8 [size =\"47291392\"]\n  1 -> 9 [size =\"47291392\"]\n  1 -> 11 [size =\"47291392\"]\n  1 -> 12 [size =\"47291392\"]\n  1 -> 13 [size =\"47291392\"]\n  1 -> 16 [size =\"47291392\"]\n  2 [size=\"95989760\", alpha=\"0.03\", expect_size=\"38395904\"] \n  2 -> 9 [size =\"38395904\"]\n  2 -> 10 [size =\"38395904\"]\n  2 -> 11 [size =\"38395904\"]\n  2 -> 12 [size =\"38395904\"]\n  2 -> 13 [size =\"38395904\"]\n  2 -> 14 [size =\"38395904\"]\n  2 -> 16 [size =\"38395904\"]\n  3 [size=\"51760640\", alpha=\"0.15\", expect_size=\"20704256\"] \n  3 -> 6 [size =\"20704256\"]\n  3 -> 9 [size =\"20704256\"]\n  3 -> 10 [size =\"20704256\"]\n  3 -> 11 [size =\"20704256\"]\n  3 -> 12 [size =\"20704256\"]\n  3 -> 13 [size =\"20704256\"]\n  3 -> 14 [size =\"20704256\"]\n  3 -> 16 [size =\"20704256\"]\n  4 [size=\"83563520\", alpha=\"0.03\", expect_size=\"33425408\"] \n  4 -> 7 [size =\"33425408\"]\n  4 -> 9 [size =\"33425408\"]\n  4 -> 12 [size =\"33425408\"]\n  4 -> 13 [size =\"33425408\"]\n  4 -> 14 [size =\"33425408\"]\n  4 -> 16 [size =\"33425408\"]\n  5 [size=\"25310720\", alpha=\"0.01\", expect_size=\"10124288\"] \n  5 -> 7 [size =\"10124288\"]\n  5 -> 9 [size =\"10124288\"]\n  5 -> 10 [size =\"10124288\"]\n  5 -> 11 [size =\"10124288\"]\n  5 -> 12 [size =\"10124288\"]\n  5 -> 13 [size =\"10124288\"]\n  5 -> 14 [size =\"10124288\"]\n  5 -> 15 [size =\"10124288\"]\n  5 -> 16 [size =\"10124288\"]\n  6 [size=\"14666240\", alpha=\"0.02\", expect_size=\"5866496\"] \n  6 -> 17 [size =\"5866496\"]\n  6 -> 18 [size =\"5866496\"]\n  6 -> 20 [size =\"5866496\"]\n  7 [size=\"77870080\", alpha=\"0.19\", expect_size=\"31148032\"] \n  7 -> 19 [size =\"31148032\"]\n  7 -> 20 [size =\"31148032\"]\n  8 [size=\"20318720\", alpha=\"0.04\", expect_size=\"8127488\"] \n  8 -> 19 [size =\"8127488\"]\n  8 -> 20 [size =\"8127488\"]\n  9 [size=\"44062720\", alpha=\"0.05\", expect_size=\"17625088\"] \n  9 -> 18 [size =\"17625088\"]\n  9 -> 19 [size =\"17625088\"]\n  9 -> 20 [size =\"17625088\"]\n  10 [size=\"130114560\", alpha=\"0.04\", expect_size=\"52045824\"] \n  10 -> 18 [size =\"52045824\"]\n  11 [size=\"60500480\", alpha=\"0.10\", expect_size=\"24200192\"] \n  11 -> 18 [size =\"24200192\"]\n  11 -> 20 [size =\"24200192\"]\n  12 [size=\"38164480\", alpha=\"0.15\", expect_size=\"15265792\"] \n  12 -> 17 [size =\"15265792\"]\n  12 -> 18 [size =\"15265792\"]\n  12 -> 20 [size =\"15265792\"]\n  13 [size=\"53253120\", alpha=\"0.11\", expect_size=\"21301248\"] \n  13 -> 18 [size =\"21301248\"]\n  13 -> 19 [size =\"21301248\"]\n  13 -> 20 [size =\"21301248\"]\n  14 [size=\"23152640\", alpha=\"0.06\", expect_size=\"9261056\"] \n  14 -> 17 [size =\"9261056\"]\n  14 -> 19 [size =\"9261056\"]\n  14 -> 20 [size =\"9261056\"]\n  15 [size=\"43100160\", alpha=\"0.03\", expect_size=\"17240064\"] \n  16 [size=\"49392640\", alpha=\"0.05\", expect_size=\"19757056\"] \n  16 -> 20 [size =\"19757056\"]\n  17 [size=\"58882560\", alpha=\"0.01\", expect_size=\"23553024\"] \n  18 [size=\"50339840\", alpha=\"0.19\", expect_size=\"20135936\"] \n  19 [size=\"74908160\", alpha=\"0.02\", expect_size=\"29963264\"] \n  20 [size=\"104903680\", alpha=\"0.06\", expect_size=\"41961472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63155200\", alpha=\"0.05\", expect_size=\"25262080\"] \n  1 -> 4 [size =\"25262080\"]\n  1 -> 5 [size =\"25262080\"]\n  2 [size=\"130693120\", alpha=\"0.11\", expect_size=\"52277248\"] \n  2 -> 8 [size =\"52277248\"]\n  3 [size=\"60275200\", alpha=\"0.13\", expect_size=\"24110080\"] \n  3 -> 6 [size =\"24110080\"]\n  3 -> 7 [size =\"24110080\"]\n  4 [size=\"74798080\", alpha=\"0.02\", expect_size=\"29919232\"] \n  4 -> 9 [size =\"29919232\"]\n  4 -> 10 [size =\"29919232\"]\n  4 -> 12 [size =\"29919232\"]\n  5 [size=\"119316480\", alpha=\"0.15\", expect_size=\"47726592\"] \n  5 -> 9 [size =\"47726592\"]\n  5 -> 11 [size =\"47726592\"]\n  6 [size=\"90808320\", alpha=\"0.13\", expect_size=\"36323328\"] \n  7 [size=\"74705920\", alpha=\"0.13\", expect_size=\"29882368\"] \n  8 [size=\"90493440\", alpha=\"0.08\", expect_size=\"36197376\"] \n  8 -> 9 [size =\"36197376\"]\n  9 [size=\"98913280\", alpha=\"0.04\", expect_size=\"39565312\"] \n  9 -> 13 [size =\"39565312\"]\n  9 -> 14 [size =\"39565312\"]\n  10 [size=\"41830400\", alpha=\"0.16\", expect_size=\"16732160\"] \n  10 -> 13 [size =\"16732160\"]\n  11 [size=\"71715840\", alpha=\"0.14\", expect_size=\"28686336\"] \n  11 -> 13 [size =\"28686336\"]\n  12 [size=\"100037120\", alpha=\"0.19\", expect_size=\"40014848\"] \n  13 [size=\"49303040\", alpha=\"0.06\", expect_size=\"19721216\"] \n  13 -> 15 [size =\"19721216\"]\n  13 -> 17 [size =\"19721216\"]\n  13 -> 18 [size =\"19721216\"]\n  14 [size=\"126415360\", alpha=\"0.01\", expect_size=\"50566144\"] \n  14 -> 16 [size =\"50566144\"]\n  14 -> 17 [size =\"50566144\"]\n  14 -> 18 [size =\"50566144\"]\n  15 [size=\"18278400\", alpha=\"0.09\", expect_size=\"7311360\"] \n  15 -> 19 [size =\"7311360\"]\n  15 -> 20 [size =\"7311360\"]\n  16 [size=\"103984640\", alpha=\"0.03\", expect_size=\"41593856\"] \n  17 [size=\"65182720\", alpha=\"0.11\", expect_size=\"26073088\"] \n  17 -> 19 [size =\"26073088\"]\n  17 -> 20 [size =\"26073088\"]\n  18 [size=\"21393920\", alpha=\"0.17\", expect_size=\"8557568\"] \n  18 -> 19 [size =\"8557568\"]\n  18 -> 20 [size =\"8557568\"]\n  19 [size=\"66521600\", alpha=\"0.09\", expect_size=\"26608640\"] \n  20 [size=\"87587840\", alpha=\"0.02\", expect_size=\"35035136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155886933\", alpha=\"0.02\", expect_size=\"46766080\"] \n  1 -> 2 [size =\"46766080\"]\n  2 [size=\"84200107\", alpha=\"0.18\", expect_size=\"25260032\"] \n  2 -> 3 [size =\"25260032\"]\n  3 [size=\"105854293\", alpha=\"0.20\", expect_size=\"31756288\"] \n  3 -> 4 [size =\"31756288\"]\n  4 [size=\"100382720\", alpha=\"0.01\", expect_size=\"30114816\"] \n  4 -> 5 [size =\"30114816\"]\n  5 [size=\"41577813\", alpha=\"0.15\", expect_size=\"12473344\"] \n  5 -> 6 [size =\"12473344\"]\n  6 [size=\"120958293\", alpha=\"0.08\", expect_size=\"36287488\"] \n  6 -> 7 [size =\"36287488\"]\n  7 [size=\"115606187\", alpha=\"0.01\", expect_size=\"34681856\"] \n  7 -> 8 [size =\"34681856\"]\n  8 [size=\"84278613\", alpha=\"0.05\", expect_size=\"25283584\"] \n  8 -> 9 [size =\"25283584\"]\n  9 [size=\"156941653\", alpha=\"0.04\", expect_size=\"47082496\"] \n  9 -> 10 [size =\"47082496\"]\n  10 [size=\"96512000\", alpha=\"0.20\", expect_size=\"28953600\"] \n  10 -> 11 [size =\"28953600\"]\n  11 [size=\"137485653\", alpha=\"0.05\", expect_size=\"41245696\"] \n  11 -> 12 [size =\"41245696\"]\n  12 [size=\"150944427\", alpha=\"0.15\", expect_size=\"45283328\"] \n  12 -> 13 [size =\"45283328\"]\n  13 [size=\"131515733\", alpha=\"0.16\", expect_size=\"39454720\"] \n  13 -> 14 [size =\"39454720\"]\n  14 [size=\"129764693\", alpha=\"0.16\", expect_size=\"38929408\"] \n  14 -> 15 [size =\"38929408\"]\n  15 [size=\"137697280\", alpha=\"0.18\", expect_size=\"41309184\"] \n  15 -> 16 [size =\"41309184\"]\n  16 [size=\"94450347\", alpha=\"0.04\", expect_size=\"28335104\"] \n  16 -> 17 [size =\"28335104\"]\n  17 [size=\"153477120\", alpha=\"0.17\", expect_size=\"46043136\"] \n  17 -> 18 [size =\"46043136\"]\n  18 [size=\"160703147\", alpha=\"0.08\", expect_size=\"48210944\"] \n  18 -> 19 [size =\"48210944\"]\n  19 [size=\"43294720\", alpha=\"0.01\", expect_size=\"12988416\"] \n  19 -> 20 [size =\"12988416\"]\n  20 [size=\"75014827\", alpha=\"0.17\", expect_size=\"22504448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16737280\", alpha=\"0.00\", expect_size=\"6694912\"] \n  1 -> 2 [size =\"6694912\"]\n  2 [size=\"92595200\", alpha=\"0.17\", expect_size=\"37038080\"] \n  2 -> 3 [size =\"37038080\"]\n  3 [size=\"129943040\", alpha=\"0.14\", expect_size=\"51977216\"] \n  3 -> 4 [size =\"51977216\"]\n  4 [size=\"91648000\", alpha=\"0.09\", expect_size=\"36659200\"] \n  4 -> 5 [size =\"36659200\"]\n  5 [size=\"27333120\", alpha=\"0.16\", expect_size=\"10933248\"] \n  5 -> 6 [size =\"10933248\"]\n  6 [size=\"130644480\", alpha=\"0.13\", expect_size=\"52257792\"] \n  6 -> 7 [size =\"52257792\"]\n  7 [size=\"78714880\", alpha=\"0.00\", expect_size=\"31485952\"] \n  7 -> 8 [size =\"31485952\"]\n  8 [size=\"57996800\", alpha=\"0.10\", expect_size=\"23198720\"] \n  8 -> 9 [size =\"23198720\"]\n  9 [size=\"125376000\", alpha=\"0.08\", expect_size=\"50150400\"] \n  9 -> 10 [size =\"50150400\"]\n  10 [size=\"123712000\", alpha=\"0.02\", expect_size=\"49484800\"] \n  10 -> 11 [size =\"49484800\"]\n  11 [size=\"16668160\", alpha=\"0.10\", expect_size=\"6667264\"] \n  11 -> 12 [size =\"6667264\"]\n  12 [size=\"16832000\", alpha=\"0.09\", expect_size=\"6732800\"] \n  12 -> 13 [size =\"6732800\"]\n  13 [size=\"116789760\", alpha=\"0.18\", expect_size=\"46715904\"] \n  13 -> 14 [size =\"46715904\"]\n  14 [size=\"80061440\", alpha=\"0.12\", expect_size=\"32024576\"] \n  14 -> 15 [size =\"32024576\"]\n  15 [size=\"17518080\", alpha=\"0.11\", expect_size=\"7007232\"] \n  15 -> 16 [size =\"7007232\"]\n  16 [size=\"110466560\", alpha=\"0.03\", expect_size=\"44186624\"] \n  16 -> 17 [size =\"44186624\"]\n  17 [size=\"70840320\", alpha=\"0.14\", expect_size=\"28336128\"] \n  17 -> 18 [size =\"28336128\"]\n  18 [size=\"71848960\", alpha=\"0.10\", expect_size=\"28739584\"] \n  18 -> 19 [size =\"28739584\"]\n  19 [size=\"15700480\", alpha=\"0.18\", expect_size=\"6280192\"] \n  19 -> 20 [size =\"6280192\"]\n  20 [size=\"62584320\", alpha=\"0.09\", expect_size=\"25033728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84631040\", alpha=\"0.13\", expect_size=\"33852416\"] \n  1 -> 4 [size =\"33852416\"]\n  1 -> 5 [size =\"33852416\"]\n  1 -> 6 [size =\"33852416\"]\n  2 [size=\"115745280\", alpha=\"0.02\", expect_size=\"46298112\"] \n  2 -> 3 [size =\"46298112\"]\n  2 -> 5 [size =\"46298112\"]\n  2 -> 6 [size =\"46298112\"]\n  3 [size=\"107929600\", alpha=\"0.16\", expect_size=\"43171840\"] \n  3 -> 8 [size =\"43171840\"]\n  4 [size=\"33966080\", alpha=\"0.00\", expect_size=\"13586432\"] \n  4 -> 7 [size =\"13586432\"]\n  4 -> 8 [size =\"13586432\"]\n  4 -> 9 [size =\"13586432\"]\n  5 [size=\"30405120\", alpha=\"0.16\", expect_size=\"12162048\"] \n  5 -> 7 [size =\"12162048\"]\n  6 [size=\"97789440\", alpha=\"0.04\", expect_size=\"39115776\"] \n  7 [size=\"106972160\", alpha=\"0.15\", expect_size=\"42788864\"] \n  8 [size=\"83980800\", alpha=\"0.04\", expect_size=\"33592320\"] \n  8 -> 10 [size =\"33592320\"]\n  8 -> 11 [size =\"33592320\"]\n  9 [size=\"99763200\", alpha=\"0.15\", expect_size=\"39905280\"] \n  10 [size=\"129423360\", alpha=\"0.08\", expect_size=\"51769344\"] \n  10 -> 12 [size =\"51769344\"]\n  10 -> 14 [size =\"51769344\"]\n  11 [size=\"113976320\", alpha=\"0.04\", expect_size=\"45590528\"] \n  11 -> 13 [size =\"45590528\"]\n  11 -> 15 [size =\"45590528\"]\n  12 [size=\"72394240\", alpha=\"0.16\", expect_size=\"28957696\"] \n  12 -> 16 [size =\"28957696\"]\n  12 -> 18 [size =\"28957696\"]\n  13 [size=\"85678080\", alpha=\"0.07\", expect_size=\"34271232\"] \n  13 -> 18 [size =\"34271232\"]\n  14 [size=\"60518400\", alpha=\"0.03\", expect_size=\"24207360\"] \n  14 -> 20 [size =\"24207360\"]\n  15 [size=\"62279680\", alpha=\"0.16\", expect_size=\"24911872\"] \n  15 -> 16 [size =\"24911872\"]\n  15 -> 17 [size =\"24911872\"]\n  15 -> 19 [size =\"24911872\"]\n  16 [size=\"39057920\", alpha=\"0.09\", expect_size=\"15623168\"] \n  17 [size=\"62213120\", alpha=\"0.09\", expect_size=\"24885248\"] \n  18 [size=\"33093120\", alpha=\"0.02\", expect_size=\"13237248\"] \n  19 [size=\"56798720\", alpha=\"0.19\", expect_size=\"22719488\"] \n  20 [size=\"29107200\", alpha=\"0.19\", expect_size=\"11642880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43881813\", alpha=\"0.16\", expect_size=\"13164544\"] \n  2 [size=\"71103147\", alpha=\"0.11\", expect_size=\"21330944\"] \n  2 -> 3 [size =\"21330944\"]\n  3 [size=\"81418240\", alpha=\"0.20\", expect_size=\"24425472\"] \n  3 -> 4 [size =\"24425472\"]\n  3 -> 5 [size =\"24425472\"]\n  4 [size=\"158310400\", alpha=\"0.08\", expect_size=\"47493120\"] \n  5 [size=\"142059520\", alpha=\"0.07\", expect_size=\"42617856\"] \n  5 -> 6 [size =\"42617856\"]\n  6 [size=\"152285867\", alpha=\"0.09\", expect_size=\"45685760\"] \n  6 -> 7 [size =\"45685760\"]\n  7 [size=\"151429120\", alpha=\"0.05\", expect_size=\"45428736\"] \n  7 -> 8 [size =\"45428736\"]\n  8 [size=\"65597440\", alpha=\"0.07\", expect_size=\"19679232\"] \n  8 -> 9 [size =\"19679232\"]\n  8 -> 10 [size =\"19679232\"]\n  9 [size=\"158931627\", alpha=\"0.18\", expect_size=\"47679488\"] \n  9 -> 11 [size =\"47679488\"]\n  10 [size=\"81551360\", alpha=\"0.19\", expect_size=\"24465408\"] \n  10 -> 11 [size =\"24465408\"]\n  11 [size=\"51848533\", alpha=\"0.11\", expect_size=\"15554560\"] \n  11 -> 12 [size =\"15554560\"]\n  11 -> 13 [size =\"15554560\"]\n  12 [size=\"17947307\", alpha=\"0.05\", expect_size=\"5384192\"] \n  12 -> 14 [size =\"5384192\"]\n  12 -> 15 [size =\"5384192\"]\n  13 [size=\"106629120\", alpha=\"0.18\", expect_size=\"31988736\"] \n  13 -> 15 [size =\"31988736\"]\n  14 [size=\"104847360\", alpha=\"0.16\", expect_size=\"31454208\"] \n  15 [size=\"168523093\", alpha=\"0.04\", expect_size=\"50556928\"] \n  15 -> 16 [size =\"50556928\"]\n  15 -> 17 [size =\"50556928\"]\n  16 [size=\"63860053\", alpha=\"0.19\", expect_size=\"19158016\"] \n  17 [size=\"131420160\", alpha=\"0.01\", expect_size=\"39426048\"] \n  17 -> 18 [size =\"39426048\"]\n  18 [size=\"172622507\", alpha=\"0.06\", expect_size=\"51786752\"] \n  18 -> 19 [size =\"51786752\"]\n  18 -> 20 [size =\"51786752\"]\n  19 [size=\"68959573\", alpha=\"0.15\", expect_size=\"20687872\"] \n  20 [size=\"55575893\", alpha=\"0.01\", expect_size=\"16672768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24381440\", alpha=\"0.00\", expect_size=\"9752576\"] \n  1 -> 9 [size =\"9752576\"]\n  1 -> 12 [size =\"9752576\"]\n  1 -> 13 [size =\"9752576\"]\n  1 -> 15 [size =\"9752576\"]\n  2 [size=\"50478080\", alpha=\"0.04\", expect_size=\"20191232\"] \n  2 -> 9 [size =\"20191232\"]\n  2 -> 11 [size =\"20191232\"]\n  2 -> 13 [size =\"20191232\"]\n  2 -> 14 [size =\"20191232\"]\n  3 [size=\"34245120\", alpha=\"0.17\", expect_size=\"13698048\"] \n  3 -> 9 [size =\"13698048\"]\n  3 -> 15 [size =\"13698048\"]\n  4 [size=\"26810880\", alpha=\"0.02\", expect_size=\"10724352\"] \n  4 -> 9 [size =\"10724352\"]\n  4 -> 11 [size =\"10724352\"]\n  5 [size=\"96499200\", alpha=\"0.04\", expect_size=\"38599680\"] \n  5 -> 10 [size =\"38599680\"]\n  5 -> 11 [size =\"38599680\"]\n  5 -> 12 [size =\"38599680\"]\n  6 [size=\"66731520\", alpha=\"0.16\", expect_size=\"26692608\"] \n  6 -> 10 [size =\"26692608\"]\n  6 -> 11 [size =\"26692608\"]\n  6 -> 15 [size =\"26692608\"]\n  7 [size=\"84224000\", alpha=\"0.03\", expect_size=\"33689600\"] \n  7 -> 11 [size =\"33689600\"]\n  7 -> 15 [size =\"33689600\"]\n  8 [size=\"56931840\", alpha=\"0.07\", expect_size=\"22772736\"] \n  8 -> 11 [size =\"22772736\"]\n  8 -> 13 [size =\"22772736\"]\n  8 -> 15 [size =\"22772736\"]\n  9 [size=\"40857600\", alpha=\"0.18\", expect_size=\"16343040\"] \n  9 -> 16 [size =\"16343040\"]\n  9 -> 17 [size =\"16343040\"]\n  9 -> 19 [size =\"16343040\"]\n  9 -> 20 [size =\"16343040\"]\n  10 [size=\"92615680\", alpha=\"0.01\", expect_size=\"37046272\"] \n  10 -> 16 [size =\"37046272\"]\n  11 [size=\"85660160\", alpha=\"0.03\", expect_size=\"34264064\"] \n  11 -> 19 [size =\"34264064\"]\n  12 [size=\"88573440\", alpha=\"0.08\", expect_size=\"35429376\"] \n  12 -> 18 [size =\"35429376\"]\n  12 -> 19 [size =\"35429376\"]\n  13 [size=\"110986240\", alpha=\"0.05\", expect_size=\"44394496\"] \n  13 -> 16 [size =\"44394496\"]\n  13 -> 17 [size =\"44394496\"]\n  13 -> 19 [size =\"44394496\"]\n  14 [size=\"95964160\", alpha=\"0.10\", expect_size=\"38385664\"] \n  14 -> 17 [size =\"38385664\"]\n  15 [size=\"107287040\", alpha=\"0.04\", expect_size=\"42914816\"] \n  15 -> 16 [size =\"42914816\"]\n  16 [size=\"14008320\", alpha=\"0.09\", expect_size=\"5603328\"] \n  17 [size=\"110750720\", alpha=\"0.15\", expect_size=\"44300288\"] \n  18 [size=\"129402880\", alpha=\"0.10\", expect_size=\"51761152\"] \n  19 [size=\"50257920\", alpha=\"0.01\", expect_size=\"20103168\"] \n  20 [size=\"40862720\", alpha=\"0.07\", expect_size=\"16345088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79904768\", alpha=\"0.09\", expect_size=\"39952384\"] \n  1 -> 12 [size =\"39952384\"]\n  2 [size=\"14145536\", alpha=\"0.16\", expect_size=\"7072768\"] \n  2 -> 9 [size =\"7072768\"]\n  2 -> 10 [size =\"7072768\"]\n  2 -> 14 [size =\"7072768\"]\n  3 [size=\"90572800\", alpha=\"0.14\", expect_size=\"45286400\"] \n  3 -> 8 [size =\"45286400\"]\n  3 -> 9 [size =\"45286400\"]\n  3 -> 10 [size =\"45286400\"]\n  3 -> 13 [size =\"45286400\"]\n  3 -> 14 [size =\"45286400\"]\n  4 [size=\"50036736\", alpha=\"0.02\", expect_size=\"25018368\"] \n  4 -> 8 [size =\"25018368\"]\n  5 [size=\"22448128\", alpha=\"0.05\", expect_size=\"11224064\"] \n  5 -> 8 [size =\"11224064\"]\n  5 -> 14 [size =\"11224064\"]\n  6 [size=\"89942016\", alpha=\"0.09\", expect_size=\"44971008\"] \n  6 -> 11 [size =\"44971008\"]\n  6 -> 14 [size =\"44971008\"]\n  7 [size=\"77744128\", alpha=\"0.08\", expect_size=\"38872064\"] \n  7 -> 9 [size =\"38872064\"]\n  7 -> 10 [size =\"38872064\"]\n  7 -> 12 [size =\"38872064\"]\n  7 -> 13 [size =\"38872064\"]\n  8 [size=\"41865216\", alpha=\"0.15\", expect_size=\"20932608\"] \n  8 -> 16 [size =\"20932608\"]\n  8 -> 19 [size =\"20932608\"]\n  8 -> 20 [size =\"20932608\"]\n  9 [size=\"22611968\", alpha=\"0.11\", expect_size=\"11305984\"] \n  9 -> 15 [size =\"11305984\"]\n  9 -> 19 [size =\"11305984\"]\n  10 [size=\"96243712\", alpha=\"0.20\", expect_size=\"48121856\"] \n  10 -> 20 [size =\"48121856\"]\n  11 [size=\"100648960\", alpha=\"0.19\", expect_size=\"50324480\"] \n  11 -> 16 [size =\"50324480\"]\n  11 -> 17 [size =\"50324480\"]\n  11 -> 18 [size =\"50324480\"]\n  11 -> 19 [size =\"50324480\"]\n  12 [size=\"50311168\", alpha=\"0.16\", expect_size=\"25155584\"] \n  12 -> 15 [size =\"25155584\"]\n  12 -> 18 [size =\"25155584\"]\n  12 -> 20 [size =\"25155584\"]\n  13 [size=\"31545344\", alpha=\"0.13\", expect_size=\"15772672\"] \n  13 -> 16 [size =\"15772672\"]\n  14 [size=\"97267712\", alpha=\"0.01\", expect_size=\"48633856\"] \n  14 -> 16 [size =\"48633856\"]\n  14 -> 19 [size =\"48633856\"]\n  15 [size=\"104718336\", alpha=\"0.02\", expect_size=\"52359168\"] \n  16 [size=\"32724992\", alpha=\"0.13\", expect_size=\"16362496\"] \n  17 [size=\"76482560\", alpha=\"0.17\", expect_size=\"38241280\"] \n  18 [size=\"19724288\", alpha=\"0.12\", expect_size=\"9862144\"] \n  19 [size=\"90126336\", alpha=\"0.16\", expect_size=\"45063168\"] \n  20 [size=\"47124480\", alpha=\"0.09\", expect_size=\"23562240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88957440\", alpha=\"0.17\", expect_size=\"35582976\"] \n  1 -> 17 [size =\"35582976\"]\n  1 -> 20 [size =\"35582976\"]\n  2 [size=\"118988800\", alpha=\"0.08\", expect_size=\"47595520\"] \n  3 [size=\"119211520\", alpha=\"0.08\", expect_size=\"47684608\"] \n  4 [size=\"72706560\", alpha=\"0.09\", expect_size=\"29082624\"] \n  4 -> 16 [size =\"29082624\"]\n  4 -> 19 [size =\"29082624\"]\n  5 [size=\"18344960\", alpha=\"0.18\", expect_size=\"7337984\"] \n  6 [size=\"41973760\", alpha=\"0.07\", expect_size=\"16789504\"] \n  7 [size=\"22970880\", alpha=\"0.12\", expect_size=\"9188352\"] \n  7 -> 19 [size =\"9188352\"]\n  8 [size=\"26263040\", alpha=\"0.13\", expect_size=\"10505216\"] \n  8 -> 18 [size =\"10505216\"]\n  8 -> 19 [size =\"10505216\"]\n  9 [size=\"28551680\", alpha=\"0.18\", expect_size=\"11420672\"] \n  9 -> 16 [size =\"11420672\"]\n  10 [size=\"87559680\", alpha=\"0.10\", expect_size=\"35023872\"] \n  10 -> 19 [size =\"35023872\"]\n  10 -> 20 [size =\"35023872\"]\n  11 [size=\"58065920\", alpha=\"0.18\", expect_size=\"23226368\"] \n  12 [size=\"38791680\", alpha=\"0.13\", expect_size=\"15516672\"] \n  12 -> 18 [size =\"15516672\"]\n  13 [size=\"86704640\", alpha=\"0.03\", expect_size=\"34681856\"] \n  14 [size=\"13969920\", alpha=\"0.07\", expect_size=\"5587968\"] \n  14 -> 19 [size =\"5587968\"]\n  15 [size=\"68853760\", alpha=\"0.08\", expect_size=\"27541504\"] \n  15 -> 19 [size =\"27541504\"]\n  16 [size=\"58777600\", alpha=\"0.12\", expect_size=\"23511040\"] \n  17 [size=\"101050880\", alpha=\"0.18\", expect_size=\"40420352\"] \n  18 [size=\"52592640\", alpha=\"0.03\", expect_size=\"21037056\"] \n  19 [size=\"128122880\", alpha=\"0.12\", expect_size=\"51249152\"] \n  20 [size=\"113871360\", alpha=\"0.04\", expect_size=\"45548544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55375872\", alpha=\"0.10\", expect_size=\"27687936\"] \n  1 -> 7 [size =\"27687936\"]\n  2 [size=\"74536960\", alpha=\"0.07\", expect_size=\"37268480\"] \n  2 -> 5 [size =\"37268480\"]\n  2 -> 6 [size =\"37268480\"]\n  2 -> 7 [size =\"37268480\"]\n  2 -> 8 [size =\"37268480\"]\n  3 [size=\"58992640\", alpha=\"0.01\", expect_size=\"29496320\"] \n  3 -> 7 [size =\"29496320\"]\n  3 -> 8 [size =\"29496320\"]\n  4 [size=\"100413440\", alpha=\"0.06\", expect_size=\"50206720\"] \n  4 -> 8 [size =\"50206720\"]\n  5 [size=\"67121152\", alpha=\"0.05\", expect_size=\"33560576\"] \n  6 [size=\"49375232\", alpha=\"0.17\", expect_size=\"24687616\"] \n  6 -> 10 [size =\"24687616\"]\n  6 -> 11 [size =\"24687616\"]\n  7 [size=\"32186368\", alpha=\"0.01\", expect_size=\"16093184\"] \n  7 -> 12 [size =\"16093184\"]\n  8 [size=\"46860288\", alpha=\"0.15\", expect_size=\"23430144\"] \n  8 -> 9 [size =\"23430144\"]\n  8 -> 10 [size =\"23430144\"]\n  9 [size=\"90017792\", alpha=\"0.07\", expect_size=\"45008896\"] \n  10 [size=\"66537472\", alpha=\"0.11\", expect_size=\"33268736\"] \n  10 -> 13 [size =\"33268736\"]\n  11 [size=\"98873344\", alpha=\"0.11\", expect_size=\"49436672\"] \n  11 -> 14 [size =\"49436672\"]\n  11 -> 16 [size =\"49436672\"]\n  12 [size=\"53057536\", alpha=\"0.19\", expect_size=\"26528768\"] \n  12 -> 14 [size =\"26528768\"]\n  12 -> 15 [size =\"26528768\"]\n  13 [size=\"84559872\", alpha=\"0.11\", expect_size=\"42279936\"] \n  14 [size=\"87699456\", alpha=\"0.16\", expect_size=\"43849728\"] \n  14 -> 17 [size =\"43849728\"]\n  14 -> 18 [size =\"43849728\"]\n  15 [size=\"19742720\", alpha=\"0.10\", expect_size=\"9871360\"] \n  15 -> 17 [size =\"9871360\"]\n  15 -> 19 [size =\"9871360\"]\n  16 [size=\"42029056\", alpha=\"0.00\", expect_size=\"21014528\"] \n  16 -> 17 [size =\"21014528\"]\n  17 [size=\"29093888\", alpha=\"0.02\", expect_size=\"14546944\"] \n  17 -> 20 [size =\"14546944\"]\n  18 [size=\"34873344\", alpha=\"0.04\", expect_size=\"17436672\"] \n  18 -> 20 [size =\"17436672\"]\n  19 [size=\"13305856\", alpha=\"0.02\", expect_size=\"6652928\"] \n  20 [size=\"46313472\", alpha=\"0.11\", expect_size=\"23156736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74154667\", alpha=\"0.12\", expect_size=\"22246400\"] \n  1 -> 9 [size =\"22246400\"]\n  1 -> 11 [size =\"22246400\"]\n  1 -> 12 [size =\"22246400\"]\n  1 -> 13 [size =\"22246400\"]\n  1 -> 17 [size =\"22246400\"]\n  1 -> 18 [size =\"22246400\"]\n  1 -> 20 [size =\"22246400\"]\n  2 [size=\"62921387\", alpha=\"0.12\", expect_size=\"18876416\"] \n  2 -> 9 [size =\"18876416\"]\n  2 -> 10 [size =\"18876416\"]\n  2 -> 11 [size =\"18876416\"]\n  2 -> 12 [size =\"18876416\"]\n  2 -> 13 [size =\"18876416\"]\n  2 -> 16 [size =\"18876416\"]\n  2 -> 17 [size =\"18876416\"]\n  2 -> 18 [size =\"18876416\"]\n  2 -> 20 [size =\"18876416\"]\n  3 [size=\"38092800\", alpha=\"0.19\", expect_size=\"11427840\"] \n  3 -> 11 [size =\"11427840\"]\n  3 -> 12 [size =\"11427840\"]\n  3 -> 13 [size =\"11427840\"]\n  3 -> 14 [size =\"11427840\"]\n  3 -> 16 [size =\"11427840\"]\n  3 -> 16 [size =\"11427840\"]\n  3 -> 18 [size =\"11427840\"]\n  3 -> 18 [size =\"11427840\"]\n  3 -> 19 [size =\"11427840\"]\n  3 -> 20 [size =\"11427840\"]\n  4 [size=\"121965227\", alpha=\"0.14\", expect_size=\"36589568\"] \n  4 -> 10 [size =\"36589568\"]\n  4 -> 16 [size =\"36589568\"]\n  4 -> 20 [size =\"36589568\"]\n  5 [size=\"99976533\", alpha=\"0.13\", expect_size=\"29992960\"] \n  5 -> 9 [size =\"29992960\"]\n  5 -> 10 [size =\"29992960\"]\n  5 -> 12 [size =\"29992960\"]\n  5 -> 13 [size =\"29992960\"]\n  5 -> 14 [size =\"29992960\"]\n  5 -> 19 [size =\"29992960\"]\n  6 [size=\"146148693\", alpha=\"0.00\", expect_size=\"43844608\"] \n  6 -> 9 [size =\"43844608\"]\n  6 -> 10 [size =\"43844608\"]\n  6 -> 12 [size =\"43844608\"]\n  6 -> 13 [size =\"43844608\"]\n  6 -> 14 [size =\"43844608\"]\n  6 -> 16 [size =\"43844608\"]\n  6 -> 17 [size =\"43844608\"]\n  6 -> 19 [size =\"43844608\"]\n  6 -> 20 [size =\"43844608\"]\n  7 [size=\"157846187\", alpha=\"0.08\", expect_size=\"47353856\"] \n  7 -> 11 [size =\"47353856\"]\n  7 -> 12 [size =\"47353856\"]\n  7 -> 15 [size =\"47353856\"]\n  7 -> 16 [size =\"47353856\"]\n  7 -> 17 [size =\"47353856\"]\n  8 [size=\"114841600\", alpha=\"0.02\", expect_size=\"34452480\"] \n  8 -> 9 [size =\"34452480\"]\n  8 -> 10 [size =\"34452480\"]\n  8 -> 11 [size =\"34452480\"]\n  8 -> 13 [size =\"34452480\"]\n  8 -> 15 [size =\"34452480\"]\n  8 -> 16 [size =\"34452480\"]\n  8 -> 17 [size =\"34452480\"]\n  8 -> 19 [size =\"34452480\"]\n  9 [size=\"95703040\", alpha=\"0.06\", expect_size=\"28710912\"] \n  10 [size=\"162017280\", alpha=\"0.07\", expect_size=\"48605184\"] \n  11 [size=\"147599360\", alpha=\"0.10\", expect_size=\"44279808\"] \n  12 [size=\"81524053\", alpha=\"0.14\", expect_size=\"24457216\"] \n  13 [size=\"17790293\", alpha=\"0.01\", expect_size=\"5337088\"] \n  14 [size=\"164290560\", alpha=\"0.08\", expect_size=\"49287168\"] \n  15 [size=\"114657280\", alpha=\"0.15\", expect_size=\"34397184\"] \n  16 [size=\"60467200\", alpha=\"0.05\", expect_size=\"18140160\"] \n  17 [size=\"64078507\", alpha=\"0.06\", expect_size=\"19223552\"] \n  18 [size=\"130314240\", alpha=\"0.10\", expect_size=\"39094272\"] \n  19 [size=\"143240533\", alpha=\"0.16\", expect_size=\"42972160\"] \n  20 [size=\"29801813\", alpha=\"0.18\", expect_size=\"8940544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107077120\", alpha=\"0.05\", expect_size=\"42830848\"] \n  1 -> 8 [size =\"42830848\"]\n  1 -> 12 [size =\"42830848\"]\n  1 -> 13 [size =\"42830848\"]\n  1 -> 13 [size =\"42830848\"]\n  2 [size=\"122475520\", alpha=\"0.15\", expect_size=\"48990208\"] \n  2 -> 8 [size =\"48990208\"]\n  2 -> 9 [size =\"48990208\"]\n  2 -> 10 [size =\"48990208\"]\n  2 -> 12 [size =\"48990208\"]\n  3 [size=\"16204800\", alpha=\"0.10\", expect_size=\"6481920\"] \n  3 -> 8 [size =\"6481920\"]\n  3 -> 10 [size =\"6481920\"]\n  3 -> 12 [size =\"6481920\"]\n  4 [size=\"87413760\", alpha=\"0.00\", expect_size=\"34965504\"] \n  4 -> 8 [size =\"34965504\"]\n  4 -> 10 [size =\"34965504\"]\n  4 -> 12 [size =\"34965504\"]\n  4 -> 13 [size =\"34965504\"]\n  5 [size=\"49000960\", alpha=\"0.07\", expect_size=\"19600384\"] \n  5 -> 8 [size =\"19600384\"]\n  5 -> 12 [size =\"19600384\"]\n  5 -> 13 [size =\"19600384\"]\n  6 [size=\"117923840\", alpha=\"0.11\", expect_size=\"47169536\"] \n  6 -> 8 [size =\"47169536\"]\n  6 -> 11 [size =\"47169536\"]\n  6 -> 13 [size =\"47169536\"]\n  7 [size=\"30535680\", alpha=\"0.17\", expect_size=\"12214272\"] \n  7 -> 8 [size =\"12214272\"]\n  7 -> 10 [size =\"12214272\"]\n  7 -> 12 [size =\"12214272\"]\n  7 -> 13 [size =\"12214272\"]\n  8 [size=\"33256960\", alpha=\"0.18\", expect_size=\"13302784\"] \n  8 -> 15 [size =\"13302784\"]\n  8 -> 17 [size =\"13302784\"]\n  8 -> 18 [size =\"13302784\"]\n  8 -> 20 [size =\"13302784\"]\n  9 [size=\"95009280\", alpha=\"0.11\", expect_size=\"38003712\"] \n  9 -> 14 [size =\"38003712\"]\n  9 -> 15 [size =\"38003712\"]\n  9 -> 17 [size =\"38003712\"]\n  9 -> 20 [size =\"38003712\"]\n  10 [size=\"53073920\", alpha=\"0.16\", expect_size=\"21229568\"] \n  10 -> 14 [size =\"21229568\"]\n  10 -> 15 [size =\"21229568\"]\n  10 -> 17 [size =\"21229568\"]\n  10 -> 18 [size =\"21229568\"]\n  10 -> 20 [size =\"21229568\"]\n  11 [size=\"49264640\", alpha=\"0.15\", expect_size=\"19705856\"] \n  11 -> 15 [size =\"19705856\"]\n  11 -> 16 [size =\"19705856\"]\n  11 -> 18 [size =\"19705856\"]\n  11 -> 19 [size =\"19705856\"]\n  11 -> 20 [size =\"19705856\"]\n  12 [size=\"76741120\", alpha=\"0.08\", expect_size=\"30696448\"] \n  12 -> 16 [size =\"30696448\"]\n  12 -> 18 [size =\"30696448\"]\n  12 -> 20 [size =\"30696448\"]\n  13 [size=\"46627840\", alpha=\"0.18\", expect_size=\"18651136\"] \n  13 -> 15 [size =\"18651136\"]\n  13 -> 16 [size =\"18651136\"]\n  13 -> 19 [size =\"18651136\"]\n  13 -> 20 [size =\"18651136\"]\n  14 [size=\"104570880\", alpha=\"0.13\", expect_size=\"41828352\"] \n  15 [size=\"105896960\", alpha=\"0.14\", expect_size=\"42358784\"] \n  16 [size=\"29291520\", alpha=\"0.11\", expect_size=\"11716608\"] \n  17 [size=\"93194240\", alpha=\"0.17\", expect_size=\"37277696\"] \n  18 [size=\"77442560\", alpha=\"0.08\", expect_size=\"30977024\"] \n  19 [size=\"68331520\", alpha=\"0.18\", expect_size=\"27332608\"] \n  20 [size=\"15646720\", alpha=\"0.13\", expect_size=\"6258688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118818133\", alpha=\"0.07\", expect_size=\"35645440\"] \n  1 -> 6 [size =\"35645440\"]\n  1 -> 8 [size =\"35645440\"]\n  2 [size=\"125955413\", alpha=\"0.16\", expect_size=\"37786624\"] \n  2 -> 5 [size =\"37786624\"]\n  2 -> 6 [size =\"37786624\"]\n  3 [size=\"163024213\", alpha=\"0.10\", expect_size=\"48907264\"] \n  3 -> 5 [size =\"48907264\"]\n  3 -> 7 [size =\"48907264\"]\n  3 -> 8 [size =\"48907264\"]\n  4 [size=\"129921707\", alpha=\"0.07\", expect_size=\"38976512\"] \n  4 -> 6 [size =\"38976512\"]\n  5 [size=\"59105280\", alpha=\"0.14\", expect_size=\"17731584\"] \n  5 -> 10 [size =\"17731584\"]\n  6 [size=\"55831893\", alpha=\"0.12\", expect_size=\"16749568\"] \n  6 -> 9 [size =\"16749568\"]\n  7 [size=\"114247680\", alpha=\"0.17\", expect_size=\"34274304\"] \n  8 [size=\"28115627\", alpha=\"0.03\", expect_size=\"8434688\"] \n  8 -> 9 [size =\"8434688\"]\n  8 -> 10 [size =\"8434688\"]\n  9 [size=\"25313280\", alpha=\"0.14\", expect_size=\"7593984\"] \n  9 -> 11 [size =\"7593984\"]\n  9 -> 12 [size =\"7593984\"]\n  9 -> 13 [size =\"7593984\"]\n  10 [size=\"36157440\", alpha=\"0.11\", expect_size=\"10847232\"] \n  10 -> 11 [size =\"10847232\"]\n  10 -> 12 [size =\"10847232\"]\n  10 -> 13 [size =\"10847232\"]\n  11 [size=\"62877013\", alpha=\"0.16\", expect_size=\"18863104\"] \n  11 -> 14 [size =\"18863104\"]\n  11 -> 15 [size =\"18863104\"]\n  11 -> 18 [size =\"18863104\"]\n  12 [size=\"117964800\", alpha=\"0.16\", expect_size=\"35389440\"] \n  12 -> 14 [size =\"35389440\"]\n  12 -> 16 [size =\"35389440\"]\n  13 [size=\"87859200\", alpha=\"0.13\", expect_size=\"26357760\"] \n  13 -> 16 [size =\"26357760\"]\n  13 -> 17 [size =\"26357760\"]\n  14 [size=\"164464640\", alpha=\"0.01\", expect_size=\"49339392\"] \n  14 -> 19 [size =\"49339392\"]\n  14 -> 20 [size =\"49339392\"]\n  15 [size=\"65464320\", alpha=\"0.04\", expect_size=\"19639296\"] \n  15 -> 19 [size =\"19639296\"]\n  15 -> 20 [size =\"19639296\"]\n  16 [size=\"171861333\", alpha=\"0.19\", expect_size=\"51558400\"] \n  16 -> 19 [size =\"51558400\"]\n  17 [size=\"108492800\", alpha=\"0.09\", expect_size=\"32547840\"] \n  17 -> 19 [size =\"32547840\"]\n  18 [size=\"81565013\", alpha=\"0.11\", expect_size=\"24469504\"] \n  18 -> 20 [size =\"24469504\"]\n  19 [size=\"107560960\", alpha=\"0.04\", expect_size=\"32268288\"] \n  20 [size=\"64177493\", alpha=\"0.06\", expect_size=\"19253248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45404160\", alpha=\"0.09\", expect_size=\"22702080\"] \n  1 -> 7 [size =\"22702080\"]\n  1 -> 9 [size =\"22702080\"]\n  2 [size=\"44775424\", alpha=\"0.13\", expect_size=\"22387712\"] \n  2 -> 5 [size =\"22387712\"]\n  2 -> 6 [size =\"22387712\"]\n  2 -> 9 [size =\"22387712\"]\n  3 [size=\"32475136\", alpha=\"0.19\", expect_size=\"16237568\"] \n  3 -> 5 [size =\"16237568\"]\n  4 [size=\"70879232\", alpha=\"0.08\", expect_size=\"35439616\"] \n  4 -> 8 [size =\"35439616\"]\n  5 [size=\"25372672\", alpha=\"0.16\", expect_size=\"12686336\"] \n  5 -> 10 [size =\"12686336\"]\n  5 -> 11 [size =\"12686336\"]\n  6 [size=\"91633664\", alpha=\"0.17\", expect_size=\"45816832\"] \n  6 -> 13 [size =\"45816832\"]\n  7 [size=\"65492992\", alpha=\"0.05\", expect_size=\"32746496\"] \n  7 -> 11 [size =\"32746496\"]\n  7 -> 13 [size =\"32746496\"]\n  8 [size=\"54646784\", alpha=\"0.16\", expect_size=\"27323392\"] \n  9 [size=\"85223424\", alpha=\"0.14\", expect_size=\"42611712\"] \n  9 -> 11 [size =\"42611712\"]\n  9 -> 12 [size =\"42611712\"]\n  10 [size=\"54540288\", alpha=\"0.07\", expect_size=\"27270144\"] \n  10 -> 15 [size =\"27270144\"]\n  11 [size=\"65112064\", alpha=\"0.14\", expect_size=\"32556032\"] \n  12 [size=\"14297088\", alpha=\"0.14\", expect_size=\"7148544\"] \n  12 -> 14 [size =\"7148544\"]\n  12 -> 15 [size =\"7148544\"]\n  13 [size=\"73988096\", alpha=\"0.04\", expect_size=\"36994048\"] \n  13 -> 14 [size =\"36994048\"]\n  14 [size=\"71168000\", alpha=\"0.09\", expect_size=\"35584000\"] \n  14 -> 17 [size =\"35584000\"]\n  14 -> 18 [size =\"35584000\"]\n  14 -> 19 [size =\"35584000\"]\n  15 [size=\"14419968\", alpha=\"0.09\", expect_size=\"7209984\"] \n  15 -> 16 [size =\"7209984\"]\n  15 -> 18 [size =\"7209984\"]\n  15 -> 19 [size =\"7209984\"]\n  16 [size=\"91846656\", alpha=\"0.11\", expect_size=\"45923328\"] \n  17 [size=\"76582912\", alpha=\"0.11\", expect_size=\"38291456\"] \n  18 [size=\"99891200\", alpha=\"0.17\", expect_size=\"49945600\"] \n  18 -> 20 [size =\"49945600\"]\n  19 [size=\"80203776\", alpha=\"0.19\", expect_size=\"40101888\"] \n  20 [size=\"49659904\", alpha=\"0.01\", expect_size=\"24829952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38699520\", alpha=\"0.01\", expect_size=\"15479808\"] \n  1 -> 9 [size =\"15479808\"]\n  1 -> 14 [size =\"15479808\"]\n  1 -> 15 [size =\"15479808\"]\n  2 [size=\"24051200\", alpha=\"0.02\", expect_size=\"9620480\"] \n  2 -> 9 [size =\"9620480\"]\n  2 -> 10 [size =\"9620480\"]\n  2 -> 12 [size =\"9620480\"]\n  3 [size=\"76057600\", alpha=\"0.09\", expect_size=\"30423040\"] \n  3 -> 10 [size =\"30423040\"]\n  3 -> 13 [size =\"30423040\"]\n  4 [size=\"76444160\", alpha=\"0.19\", expect_size=\"30577664\"] \n  4 -> 12 [size =\"30577664\"]\n  4 -> 13 [size =\"30577664\"]\n  5 [size=\"79283200\", alpha=\"0.19\", expect_size=\"31713280\"] \n  5 -> 13 [size =\"31713280\"]\n  5 -> 15 [size =\"31713280\"]\n  6 [size=\"77598720\", alpha=\"0.10\", expect_size=\"31039488\"] \n  6 -> 8 [size =\"31039488\"]\n  6 -> 9 [size =\"31039488\"]\n  6 -> 10 [size =\"31039488\"]\n  6 -> 11 [size =\"31039488\"]\n  6 -> 12 [size =\"31039488\"]\n  6 -> 15 [size =\"31039488\"]\n  7 [size=\"127751680\", alpha=\"0.12\", expect_size=\"51100672\"] \n  7 -> 10 [size =\"51100672\"]\n  7 -> 14 [size =\"51100672\"]\n  7 -> 15 [size =\"51100672\"]\n  8 [size=\"18639360\", alpha=\"0.04\", expect_size=\"7455744\"] \n  8 -> 19 [size =\"7455744\"]\n  9 [size=\"56217600\", alpha=\"0.19\", expect_size=\"22487040\"] \n  9 -> 17 [size =\"22487040\"]\n  9 -> 18 [size =\"22487040\"]\n  10 [size=\"16960000\", alpha=\"0.13\", expect_size=\"6784000\"] \n  10 -> 19 [size =\"6784000\"]\n  11 [size=\"50329600\", alpha=\"0.04\", expect_size=\"20131840\"] \n  11 -> 18 [size =\"20131840\"]\n  11 -> 20 [size =\"20131840\"]\n  12 [size=\"57067520\", alpha=\"0.03\", expect_size=\"22827008\"] \n  12 -> 16 [size =\"22827008\"]\n  12 -> 18 [size =\"22827008\"]\n  12 -> 20 [size =\"22827008\"]\n  13 [size=\"66140160\", alpha=\"0.03\", expect_size=\"26456064\"] \n  13 -> 16 [size =\"26456064\"]\n  13 -> 17 [size =\"26456064\"]\n  13 -> 18 [size =\"26456064\"]\n  14 [size=\"120614400\", alpha=\"0.15\", expect_size=\"48245760\"] \n  14 -> 17 [size =\"48245760\"]\n  14 -> 17 [size =\"48245760\"]\n  14 -> 18 [size =\"48245760\"]\n  14 -> 20 [size =\"48245760\"]\n  15 [size=\"115909120\", alpha=\"0.08\", expect_size=\"46363648\"] \n  15 -> 17 [size =\"46363648\"]\n  15 -> 20 [size =\"46363648\"]\n  16 [size=\"108303360\", alpha=\"0.14\", expect_size=\"43321344\"] \n  17 [size=\"46407680\", alpha=\"0.15\", expect_size=\"18563072\"] \n  18 [size=\"116328960\", alpha=\"0.14\", expect_size=\"46531584\"] \n  19 [size=\"19729920\", alpha=\"0.04\", expect_size=\"7891968\"] \n  20 [size=\"130193920\", alpha=\"0.04\", expect_size=\"52077568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35364864\", alpha=\"0.03\", expect_size=\"17682432\"] \n  1 -> 2 [size =\"17682432\"]\n  2 [size=\"61087744\", alpha=\"0.20\", expect_size=\"30543872\"] \n  2 -> 3 [size =\"30543872\"]\n  2 -> 4 [size =\"30543872\"]\n  3 [size=\"51959808\", alpha=\"0.01\", expect_size=\"25979904\"] \n  3 -> 5 [size =\"25979904\"]\n  4 [size=\"50946048\", alpha=\"0.08\", expect_size=\"25473024\"] \n  5 [size=\"25696256\", alpha=\"0.17\", expect_size=\"12848128\"] \n  5 -> 6 [size =\"12848128\"]\n  6 [size=\"40218624\", alpha=\"0.05\", expect_size=\"20109312\"] \n  6 -> 7 [size =\"20109312\"]\n  6 -> 8 [size =\"20109312\"]\n  7 [size=\"76826624\", alpha=\"0.10\", expect_size=\"38413312\"] \n  7 -> 9 [size =\"38413312\"]\n  7 -> 10 [size =\"38413312\"]\n  8 [size=\"78120960\", alpha=\"0.06\", expect_size=\"39060480\"] \n  9 [size=\"66959360\", alpha=\"0.17\", expect_size=\"33479680\"] \n  9 -> 11 [size =\"33479680\"]\n  9 -> 12 [size =\"33479680\"]\n  10 [size=\"75816960\", alpha=\"0.09\", expect_size=\"37908480\"] \n  11 [size=\"91478016\", alpha=\"0.01\", expect_size=\"45739008\"] \n  11 -> 13 [size =\"45739008\"]\n  12 [size=\"104265728\", alpha=\"0.01\", expect_size=\"52132864\"] \n  13 [size=\"102463488\", alpha=\"0.07\", expect_size=\"51231744\"] \n  13 -> 14 [size =\"51231744\"]\n  13 -> 15 [size =\"51231744\"]\n  14 [size=\"12736512\", alpha=\"0.02\", expect_size=\"6368256\"] \n  15 [size=\"52457472\", alpha=\"0.02\", expect_size=\"26228736\"] \n  15 -> 16 [size =\"26228736\"]\n  16 [size=\"37173248\", alpha=\"0.11\", expect_size=\"18586624\"] \n  16 -> 17 [size =\"18586624\"]\n  17 [size=\"60217344\", alpha=\"0.17\", expect_size=\"30108672\"] \n  17 -> 18 [size =\"30108672\"]\n  17 -> 19 [size =\"30108672\"]\n  18 [size=\"12908544\", alpha=\"0.19\", expect_size=\"6454272\"] \n  18 -> 20 [size =\"6454272\"]\n  19 [size=\"43223040\", alpha=\"0.06\", expect_size=\"21611520\"] \n  20 [size=\"29415424\", alpha=\"0.02\", expect_size=\"14707712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113879040\", alpha=\"0.10\", expect_size=\"45551616\"] \n  1 -> 9 [size =\"45551616\"]\n  1 -> 11 [size =\"45551616\"]\n  1 -> 13 [size =\"45551616\"]\n  1 -> 15 [size =\"45551616\"]\n  2 [size=\"108805120\", alpha=\"0.14\", expect_size=\"43522048\"] \n  2 -> 12 [size =\"43522048\"]\n  3 [size=\"95516160\", alpha=\"0.16\", expect_size=\"38206464\"] \n  3 -> 12 [size =\"38206464\"]\n  3 -> 14 [size =\"38206464\"]\n  3 -> 15 [size =\"38206464\"]\n  4 [size=\"111508480\", alpha=\"0.19\", expect_size=\"44603392\"] \n  4 -> 12 [size =\"44603392\"]\n  4 -> 14 [size =\"44603392\"]\n  5 [size=\"127974400\", alpha=\"0.19\", expect_size=\"51189760\"] \n  5 -> 8 [size =\"51189760\"]\n  6 [size=\"63280640\", alpha=\"0.12\", expect_size=\"25312256\"] \n  6 -> 9 [size =\"25312256\"]\n  6 -> 10 [size =\"25312256\"]\n  6 -> 11 [size =\"25312256\"]\n  6 -> 12 [size =\"25312256\"]\n  6 -> 13 [size =\"25312256\"]\n  6 -> 15 [size =\"25312256\"]\n  7 [size=\"80458240\", alpha=\"0.07\", expect_size=\"32183296\"] \n  7 -> 9 [size =\"32183296\"]\n  7 -> 13 [size =\"32183296\"]\n  7 -> 15 [size =\"32183296\"]\n  8 [size=\"71482880\", alpha=\"0.02\", expect_size=\"28593152\"] \n  8 -> 17 [size =\"28593152\"]\n  8 -> 20 [size =\"28593152\"]\n  9 [size=\"100756480\", alpha=\"0.01\", expect_size=\"40302592\"] \n  9 -> 18 [size =\"40302592\"]\n  9 -> 19 [size =\"40302592\"]\n  10 [size=\"101424640\", alpha=\"0.12\", expect_size=\"40569856\"] \n  10 -> 20 [size =\"40569856\"]\n  11 [size=\"28887040\", alpha=\"0.00\", expect_size=\"11554816\"] \n  11 -> 18 [size =\"11554816\"]\n  12 [size=\"87301120\", alpha=\"0.01\", expect_size=\"34920448\"] \n  12 -> 17 [size =\"34920448\"]\n  12 -> 19 [size =\"34920448\"]\n  13 [size=\"49994240\", alpha=\"0.02\", expect_size=\"19997696\"] \n  13 -> 17 [size =\"19997696\"]\n  13 -> 18 [size =\"19997696\"]\n  13 -> 19 [size =\"19997696\"]\n  14 [size=\"24135680\", alpha=\"0.16\", expect_size=\"9654272\"] \n  14 -> 18 [size =\"9654272\"]\n  15 [size=\"16803840\", alpha=\"0.05\", expect_size=\"6721536\"] \n  15 -> 16 [size =\"6721536\"]\n  15 -> 20 [size =\"6721536\"]\n  16 [size=\"129786880\", alpha=\"0.18\", expect_size=\"51914752\"] \n  17 [size=\"84108800\", alpha=\"0.07\", expect_size=\"33643520\"] \n  18 [size=\"122644480\", alpha=\"0.14\", expect_size=\"49057792\"] \n  19 [size=\"15426560\", alpha=\"0.08\", expect_size=\"6170624\"] \n  20 [size=\"21685760\", alpha=\"0.06\", expect_size=\"8674304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104503296\", alpha=\"0.19\", expect_size=\"52251648\"] \n  1 -> 12 [size =\"52251648\"]\n  2 [size=\"13821952\", alpha=\"0.06\", expect_size=\"6910976\"] \n  2 -> 14 [size =\"6910976\"]\n  3 [size=\"45434880\", alpha=\"0.12\", expect_size=\"22717440\"] \n  3 -> 14 [size =\"22717440\"]\n  3 -> 15 [size =\"22717440\"]\n  3 -> 16 [size =\"22717440\"]\n  3 -> 17 [size =\"22717440\"]\n  4 [size=\"23654400\", alpha=\"0.08\", expect_size=\"11827200\"] \n  4 -> 15 [size =\"11827200\"]\n  4 -> 16 [size =\"11827200\"]\n  5 [size=\"47872000\", alpha=\"0.20\", expect_size=\"23936000\"] \n  5 -> 16 [size =\"23936000\"]\n  5 -> 17 [size =\"23936000\"]\n  6 [size=\"40249344\", alpha=\"0.15\", expect_size=\"20124672\"] \n  6 -> 16 [size =\"20124672\"]\n  7 [size=\"27799552\", alpha=\"0.11\", expect_size=\"13899776\"] \n  7 -> 12 [size =\"13899776\"]\n  8 [size=\"100945920\", alpha=\"0.00\", expect_size=\"50472960\"] \n  8 -> 12 [size =\"50472960\"]\n  8 -> 16 [size =\"50472960\"]\n  8 -> 17 [size =\"50472960\"]\n  9 [size=\"70782976\", alpha=\"0.14\", expect_size=\"35391488\"] \n  9 -> 12 [size =\"35391488\"]\n  9 -> 13 [size =\"35391488\"]\n  9 -> 17 [size =\"35391488\"]\n  10 [size=\"56346624\", alpha=\"0.01\", expect_size=\"28173312\"] \n  10 -> 12 [size =\"28173312\"]\n  11 [size=\"102645760\", alpha=\"0.07\", expect_size=\"51322880\"] \n  11 -> 12 [size =\"51322880\"]\n  11 -> 16 [size =\"51322880\"]\n  12 [size=\"96696320\", alpha=\"0.09\", expect_size=\"48348160\"] \n  12 -> 19 [size =\"48348160\"]\n  13 [size=\"30142464\", alpha=\"0.10\", expect_size=\"15071232\"] \n  13 -> 19 [size =\"15071232\"]\n  14 [size=\"87193600\", alpha=\"0.06\", expect_size=\"43596800\"] \n  14 -> 18 [size =\"43596800\"]\n  14 -> 20 [size =\"43596800\"]\n  15 [size=\"32540672\", alpha=\"0.03\", expect_size=\"16270336\"] \n  15 -> 19 [size =\"16270336\"]\n  15 -> 20 [size =\"16270336\"]\n  16 [size=\"31219712\", alpha=\"0.12\", expect_size=\"15609856\"] \n  16 -> 20 [size =\"15609856\"]\n  17 [size=\"102670336\", alpha=\"0.10\", expect_size=\"51335168\"] \n  17 -> 18 [size =\"51335168\"]\n  17 -> 19 [size =\"51335168\"]\n  18 [size=\"61939712\", alpha=\"0.06\", expect_size=\"30969856\"] \n  19 [size=\"62889984\", alpha=\"0.14\", expect_size=\"31444992\"] \n  20 [size=\"32710656\", alpha=\"0.20\", expect_size=\"16355328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101995520\", alpha=\"0.08\", expect_size=\"40798208\"] \n  1 -> 4 [size =\"40798208\"]\n  1 -> 5 [size =\"40798208\"]\n  1 -> 6 [size =\"40798208\"]\n  2 [size=\"17236480\", alpha=\"0.18\", expect_size=\"6894592\"] \n  2 -> 4 [size =\"6894592\"]\n  2 -> 6 [size =\"6894592\"]\n  3 [size=\"123589120\", alpha=\"0.18\", expect_size=\"49435648\"] \n  3 -> 5 [size =\"49435648\"]\n  3 -> 6 [size =\"49435648\"]\n  4 [size=\"108505600\", alpha=\"0.00\", expect_size=\"43402240\"] \n  4 -> 7 [size =\"43402240\"]\n  4 -> 9 [size =\"43402240\"]\n  5 [size=\"35970560\", alpha=\"0.18\", expect_size=\"14388224\"] \n  5 -> 7 [size =\"14388224\"]\n  5 -> 8 [size =\"14388224\"]\n  5 -> 9 [size =\"14388224\"]\n  6 [size=\"105395200\", alpha=\"0.06\", expect_size=\"42158080\"] \n  6 -> 7 [size =\"42158080\"]\n  6 -> 8 [size =\"42158080\"]\n  6 -> 9 [size =\"42158080\"]\n  7 [size=\"120010240\", alpha=\"0.08\", expect_size=\"48004096\"] \n  7 -> 10 [size =\"48004096\"]\n  7 -> 11 [size =\"48004096\"]\n  7 -> 12 [size =\"48004096\"]\n  7 -> 13 [size =\"48004096\"]\n  8 [size=\"15001600\", alpha=\"0.16\", expect_size=\"6000640\"] \n  8 -> 10 [size =\"6000640\"]\n  8 -> 11 [size =\"6000640\"]\n  8 -> 12 [size =\"6000640\"]\n  8 -> 13 [size =\"6000640\"]\n  9 [size=\"95833600\", alpha=\"0.20\", expect_size=\"38333440\"] \n  9 -> 10 [size =\"38333440\"]\n  9 -> 11 [size =\"38333440\"]\n  10 [size=\"106728960\", alpha=\"0.13\", expect_size=\"42691584\"] \n  10 -> 14 [size =\"42691584\"]\n  10 -> 16 [size =\"42691584\"]\n  10 -> 17 [size =\"42691584\"]\n  11 [size=\"32929280\", alpha=\"0.17\", expect_size=\"13171712\"] \n  11 -> 14 [size =\"13171712\"]\n  11 -> 17 [size =\"13171712\"]\n  12 [size=\"80197120\", alpha=\"0.18\", expect_size=\"32078848\"] \n  12 -> 14 [size =\"32078848\"]\n  12 -> 15 [size =\"32078848\"]\n  12 -> 17 [size =\"32078848\"]\n  13 [size=\"71029760\", alpha=\"0.16\", expect_size=\"28411904\"] \n  13 -> 14 [size =\"28411904\"]\n  13 -> 15 [size =\"28411904\"]\n  13 -> 16 [size =\"28411904\"]\n  13 -> 17 [size =\"28411904\"]\n  14 [size=\"58862080\", alpha=\"0.00\", expect_size=\"23544832\"] \n  14 -> 18 [size =\"23544832\"]\n  14 -> 19 [size =\"23544832\"]\n  14 -> 20 [size =\"23544832\"]\n  15 [size=\"59558400\", alpha=\"0.16\", expect_size=\"23823360\"] \n  15 -> 18 [size =\"23823360\"]\n  15 -> 19 [size =\"23823360\"]\n  15 -> 20 [size =\"23823360\"]\n  16 [size=\"46766080\", alpha=\"0.01\", expect_size=\"18706432\"] \n  16 -> 19 [size =\"18706432\"]\n  16 -> 20 [size =\"18706432\"]\n  17 [size=\"81966080\", alpha=\"0.16\", expect_size=\"32786432\"] \n  17 -> 18 [size =\"32786432\"]\n  17 -> 19 [size =\"32786432\"]\n  17 -> 20 [size =\"32786432\"]\n  18 [size=\"130926080\", alpha=\"0.08\", expect_size=\"52370432\"] \n  19 [size=\"106219520\", alpha=\"0.01\", expect_size=\"42487808\"] \n  20 [size=\"103662080\", alpha=\"0.07\", expect_size=\"41464832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55922688\", alpha=\"0.10\", expect_size=\"27961344\"] \n  1 -> 5 [size =\"27961344\"]\n  2 [size=\"77633536\", alpha=\"0.15\", expect_size=\"38816768\"] \n  3 [size=\"33875968\", alpha=\"0.18\", expect_size=\"16937984\"] \n  3 -> 5 [size =\"16937984\"]\n  3 -> 6 [size =\"16937984\"]\n  4 [size=\"80179200\", alpha=\"0.11\", expect_size=\"40089600\"] \n  4 -> 5 [size =\"40089600\"]\n  5 [size=\"19273728\", alpha=\"0.01\", expect_size=\"9636864\"] \n  5 -> 9 [size =\"9636864\"]\n  6 [size=\"48846848\", alpha=\"0.11\", expect_size=\"24423424\"] \n  6 -> 7 [size =\"24423424\"]\n  6 -> 8 [size =\"24423424\"]\n  7 [size=\"93960192\", alpha=\"0.17\", expect_size=\"46980096\"] \n  7 -> 10 [size =\"46980096\"]\n  7 -> 11 [size =\"46980096\"]\n  7 -> 13 [size =\"46980096\"]\n  8 [size=\"51089408\", alpha=\"0.19\", expect_size=\"25544704\"] \n  8 -> 10 [size =\"25544704\"]\n  9 [size=\"54034432\", alpha=\"0.19\", expect_size=\"27017216\"] \n  9 -> 10 [size =\"27017216\"]\n  9 -> 12 [size =\"27017216\"]\n  9 -> 13 [size =\"27017216\"]\n  10 [size=\"73244672\", alpha=\"0.10\", expect_size=\"36622336\"] \n  10 -> 14 [size =\"36622336\"]\n  11 [size=\"103739392\", alpha=\"0.06\", expect_size=\"51869696\"] \n  11 -> 14 [size =\"51869696\"]\n  11 -> 16 [size =\"51869696\"]\n  12 [size=\"58462208\", alpha=\"0.18\", expect_size=\"29231104\"] \n  12 -> 14 [size =\"29231104\"]\n  12 -> 16 [size =\"29231104\"]\n  12 -> 17 [size =\"29231104\"]\n  13 [size=\"35467264\", alpha=\"0.08\", expect_size=\"17733632\"] \n  13 -> 15 [size =\"17733632\"]\n  13 -> 17 [size =\"17733632\"]\n  13 -> 17 [size =\"17733632\"]\n  14 [size=\"25309184\", alpha=\"0.10\", expect_size=\"12654592\"] \n  14 -> 19 [size =\"12654592\"]\n  14 -> 20 [size =\"12654592\"]\n  15 [size=\"77131776\", alpha=\"0.02\", expect_size=\"38565888\"] \n  16 [size=\"82206720\", alpha=\"0.05\", expect_size=\"41103360\"] \n  17 [size=\"40818688\", alpha=\"0.11\", expect_size=\"20409344\"] \n  17 -> 18 [size =\"20409344\"]\n  17 -> 20 [size =\"20409344\"]\n  18 [size=\"27535360\", alpha=\"0.16\", expect_size=\"13767680\"] \n  19 [size=\"22575104\", alpha=\"0.18\", expect_size=\"11287552\"] \n  20 [size=\"19431424\", alpha=\"0.15\", expect_size=\"9715712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119918080\", alpha=\"0.08\", expect_size=\"47967232\"] \n  1 -> 4 [size =\"47967232\"]\n  2 [size=\"84165120\", alpha=\"0.01\", expect_size=\"33666048\"] \n  2 -> 3 [size =\"33666048\"]\n  2 -> 5 [size =\"33666048\"]\n  3 [size=\"85934080\", alpha=\"0.03\", expect_size=\"34373632\"] \n  3 -> 6 [size =\"34373632\"]\n  4 [size=\"63370240\", alpha=\"0.10\", expect_size=\"25348096\"] \n  4 -> 6 [size =\"25348096\"]\n  4 -> 7 [size =\"25348096\"]\n  5 [size=\"123850240\", alpha=\"0.00\", expect_size=\"49540096\"] \n  5 -> 8 [size =\"49540096\"]\n  6 [size=\"22039040\", alpha=\"0.17\", expect_size=\"8815616\"] \n  6 -> 10 [size =\"8815616\"]\n  7 [size=\"97461760\", alpha=\"0.16\", expect_size=\"38984704\"] \n  7 -> 10 [size =\"38984704\"]\n  7 -> 11 [size =\"38984704\"]\n  8 [size=\"125322240\", alpha=\"0.04\", expect_size=\"50128896\"] \n  8 -> 9 [size =\"50128896\"]\n  9 [size=\"128819200\", alpha=\"0.10\", expect_size=\"51527680\"] \n  9 -> 13 [size =\"51527680\"]\n  9 -> 14 [size =\"51527680\"]\n  10 [size=\"60165120\", alpha=\"0.15\", expect_size=\"24066048\"] \n  10 -> 12 [size =\"24066048\"]\n  10 -> 13 [size =\"24066048\"]\n  11 [size=\"25121280\", alpha=\"0.08\", expect_size=\"10048512\"] \n  12 [size=\"69975040\", alpha=\"0.09\", expect_size=\"27990016\"] \n  13 [size=\"75850240\", alpha=\"0.07\", expect_size=\"30340096\"] \n  13 -> 16 [size =\"30340096\"]\n  13 -> 17 [size =\"30340096\"]\n  14 [size=\"94374400\", alpha=\"0.18\", expect_size=\"37749760\"] \n  14 -> 15 [size =\"37749760\"]\n  14 -> 16 [size =\"37749760\"]\n  15 [size=\"32888320\", alpha=\"0.12\", expect_size=\"13155328\"] \n  15 -> 19 [size =\"13155328\"]\n  15 -> 20 [size =\"13155328\"]\n  16 [size=\"34547200\", alpha=\"0.18\", expect_size=\"13818880\"] \n  16 -> 18 [size =\"13818880\"]\n  17 [size=\"15982080\", alpha=\"0.14\", expect_size=\"6392832\"] \n  17 -> 18 [size =\"6392832\"]\n  17 -> 20 [size =\"6392832\"]\n  18 [size=\"112693760\", alpha=\"0.05\", expect_size=\"45077504\"] \n  19 [size=\"17323520\", alpha=\"0.03\", expect_size=\"6929408\"] \n  20 [size=\"76254720\", alpha=\"0.09\", expect_size=\"30501888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41785344\", alpha=\"0.09\", expect_size=\"20892672\"] \n  1 -> 2 [size =\"20892672\"]\n  2 [size=\"60672000\", alpha=\"0.03\", expect_size=\"30336000\"] \n  2 -> 3 [size =\"30336000\"]\n  3 [size=\"74754048\", alpha=\"0.12\", expect_size=\"37377024\"] \n  3 -> 4 [size =\"37377024\"]\n  4 [size=\"27629568\", alpha=\"0.07\", expect_size=\"13814784\"] \n  4 -> 5 [size =\"13814784\"]\n  5 [size=\"43374592\", alpha=\"0.18\", expect_size=\"21687296\"] \n  5 -> 6 [size =\"21687296\"]\n  6 [size=\"20439040\", alpha=\"0.17\", expect_size=\"10219520\"] \n  6 -> 7 [size =\"10219520\"]\n  7 [size=\"66787328\", alpha=\"0.18\", expect_size=\"33393664\"] \n  7 -> 8 [size =\"33393664\"]\n  8 [size=\"30541824\", alpha=\"0.05\", expect_size=\"15270912\"] \n  8 -> 9 [size =\"15270912\"]\n  9 [size=\"50769920\", alpha=\"0.16\", expect_size=\"25384960\"] \n  9 -> 10 [size =\"25384960\"]\n  10 [size=\"77316096\", alpha=\"0.13\", expect_size=\"38658048\"] \n  10 -> 11 [size =\"38658048\"]\n  11 [size=\"101169152\", alpha=\"0.15\", expect_size=\"50584576\"] \n  11 -> 12 [size =\"50584576\"]\n  12 [size=\"51109888\", alpha=\"0.01\", expect_size=\"25554944\"] \n  12 -> 13 [size =\"25554944\"]\n  13 [size=\"66156544\", alpha=\"0.05\", expect_size=\"33078272\"] \n  13 -> 14 [size =\"33078272\"]\n  14 [size=\"30216192\", alpha=\"0.03\", expect_size=\"15108096\"] \n  14 -> 15 [size =\"15108096\"]\n  15 [size=\"64378880\", alpha=\"0.19\", expect_size=\"32189440\"] \n  15 -> 16 [size =\"32189440\"]\n  16 [size=\"56455168\", alpha=\"0.10\", expect_size=\"28227584\"] \n  16 -> 17 [size =\"28227584\"]\n  17 [size=\"40986624\", alpha=\"0.05\", expect_size=\"20493312\"] \n  17 -> 18 [size =\"20493312\"]\n  18 [size=\"29650944\", alpha=\"0.18\", expect_size=\"14825472\"] \n  18 -> 19 [size =\"14825472\"]\n  19 [size=\"50937856\", alpha=\"0.08\", expect_size=\"25468928\"] \n  19 -> 20 [size =\"25468928\"]\n  20 [size=\"31494144\", alpha=\"0.00\", expect_size=\"15747072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171598507\", alpha=\"0.18\", expect_size=\"51479552\"] \n  1 -> 2 [size =\"51479552\"]\n  2 [size=\"139847680\", alpha=\"0.02\", expect_size=\"41954304\"] \n  2 -> 3 [size =\"41954304\"]\n  3 [size=\"34007040\", alpha=\"0.06\", expect_size=\"10202112\"] \n  3 -> 4 [size =\"10202112\"]\n  4 [size=\"66949120\", alpha=\"0.05\", expect_size=\"20084736\"] \n  4 -> 5 [size =\"20084736\"]\n  5 [size=\"144612693\", alpha=\"0.19\", expect_size=\"43383808\"] \n  5 -> 6 [size =\"43383808\"]\n  6 [size=\"164423680\", alpha=\"0.02\", expect_size=\"49327104\"] \n  6 -> 7 [size =\"49327104\"]\n  7 [size=\"20080640\", alpha=\"0.07\", expect_size=\"6024192\"] \n  7 -> 8 [size =\"6024192\"]\n  8 [size=\"120159573\", alpha=\"0.20\", expect_size=\"36047872\"] \n  8 -> 9 [size =\"36047872\"]\n  9 [size=\"91787947\", alpha=\"0.09\", expect_size=\"27536384\"] \n  9 -> 10 [size =\"27536384\"]\n  10 [size=\"114858667\", alpha=\"0.14\", expect_size=\"34457600\"] \n  10 -> 11 [size =\"34457600\"]\n  11 [size=\"127310507\", alpha=\"0.19\", expect_size=\"38193152\"] \n  11 -> 12 [size =\"38193152\"]\n  12 [size=\"108223147\", alpha=\"0.14\", expect_size=\"32466944\"] \n  12 -> 13 [size =\"32466944\"]\n  13 [size=\"127477760\", alpha=\"0.06\", expect_size=\"38243328\"] \n  13 -> 14 [size =\"38243328\"]\n  14 [size=\"18896213\", alpha=\"0.09\", expect_size=\"5668864\"] \n  14 -> 15 [size =\"5668864\"]\n  15 [size=\"61457067\", alpha=\"0.12\", expect_size=\"18437120\"] \n  15 -> 16 [size =\"18437120\"]\n  16 [size=\"56180053\", alpha=\"0.18\", expect_size=\"16854016\"] \n  16 -> 17 [size =\"16854016\"]\n  17 [size=\"73564160\", alpha=\"0.02\", expect_size=\"22069248\"] \n  17 -> 18 [size =\"22069248\"]\n  18 [size=\"124859733\", alpha=\"0.09\", expect_size=\"37457920\"] \n  18 -> 19 [size =\"37457920\"]\n  19 [size=\"121306453\", alpha=\"0.04\", expect_size=\"36391936\"] \n  19 -> 20 [size =\"36391936\"]\n  20 [size=\"37744640\", alpha=\"0.11\", expect_size=\"11323392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26588160\", alpha=\"0.05\", expect_size=\"10635264\"] \n  1 -> 2 [size =\"10635264\"]\n  2 [size=\"14064640\", alpha=\"0.01\", expect_size=\"5625856\"] \n  2 -> 3 [size =\"5625856\"]\n  3 [size=\"14330880\", alpha=\"0.10\", expect_size=\"5732352\"] \n  3 -> 4 [size =\"5732352\"]\n  4 [size=\"63298560\", alpha=\"0.03\", expect_size=\"25319424\"] \n  4 -> 5 [size =\"25319424\"]\n  5 [size=\"41710080\", alpha=\"0.20\", expect_size=\"16684032\"] \n  5 -> 6 [size =\"16684032\"]\n  6 [size=\"40599040\", alpha=\"0.07\", expect_size=\"16239616\"] \n  6 -> 7 [size =\"16239616\"]\n  7 [size=\"119434240\", alpha=\"0.05\", expect_size=\"47773696\"] \n  7 -> 8 [size =\"47773696\"]\n  8 [size=\"78197760\", alpha=\"0.14\", expect_size=\"31279104\"] \n  8 -> 9 [size =\"31279104\"]\n  9 [size=\"68472320\", alpha=\"0.02\", expect_size=\"27388928\"] \n  9 -> 10 [size =\"27388928\"]\n  10 [size=\"127838720\", alpha=\"0.14\", expect_size=\"51135488\"] \n  10 -> 11 [size =\"51135488\"]\n  11 [size=\"115448320\", alpha=\"0.11\", expect_size=\"46179328\"] \n  11 -> 12 [size =\"46179328\"]\n  12 [size=\"29916160\", alpha=\"0.05\", expect_size=\"11966464\"] \n  12 -> 13 [size =\"11966464\"]\n  13 [size=\"38159360\", alpha=\"0.14\", expect_size=\"15263744\"] \n  13 -> 14 [size =\"15263744\"]\n  14 [size=\"94945280\", alpha=\"0.01\", expect_size=\"37978112\"] \n  14 -> 15 [size =\"37978112\"]\n  15 [size=\"113384960\", alpha=\"0.01\", expect_size=\"45353984\"] \n  15 -> 16 [size =\"45353984\"]\n  16 [size=\"112094720\", alpha=\"0.12\", expect_size=\"44837888\"] \n  16 -> 17 [size =\"44837888\"]\n  17 [size=\"35553280\", alpha=\"0.03\", expect_size=\"14221312\"] \n  17 -> 18 [size =\"14221312\"]\n  18 [size=\"62822400\", alpha=\"0.04\", expect_size=\"25128960\"] \n  18 -> 19 [size =\"25128960\"]\n  19 [size=\"24965120\", alpha=\"0.01\", expect_size=\"9986048\"] \n  19 -> 20 [size =\"9986048\"]\n  20 [size=\"34690560\", alpha=\"0.12\", expect_size=\"13876224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60282880\", alpha=\"0.17\", expect_size=\"30141440\"] \n  1 -> 2 [size =\"30141440\"]\n  1 -> 3 [size =\"30141440\"]\n  2 [size=\"92979200\", alpha=\"0.10\", expect_size=\"46489600\"] \n  3 [size=\"79149056\", alpha=\"0.19\", expect_size=\"39574528\"] \n  3 -> 4 [size =\"39574528\"]\n  4 [size=\"75694080\", alpha=\"0.13\", expect_size=\"37847040\"] \n  4 -> 5 [size =\"37847040\"]\n  4 -> 6 [size =\"37847040\"]\n  5 [size=\"61505536\", alpha=\"0.18\", expect_size=\"30752768\"] \n  5 -> 7 [size =\"30752768\"]\n  6 [size=\"27527168\", alpha=\"0.12\", expect_size=\"13763584\"] \n  6 -> 8 [size =\"13763584\"]\n  7 [size=\"64712704\", alpha=\"0.17\", expect_size=\"32356352\"] \n  8 [size=\"62423040\", alpha=\"0.07\", expect_size=\"31211520\"] \n  8 -> 9 [size =\"31211520\"]\n  8 -> 10 [size =\"31211520\"]\n  9 [size=\"23488512\", alpha=\"0.19\", expect_size=\"11744256\"] \n  9 -> 12 [size =\"11744256\"]\n  10 [size=\"75708416\", alpha=\"0.06\", expect_size=\"37854208\"] \n  10 -> 11 [size =\"37854208\"]\n  11 [size=\"99807232\", alpha=\"0.12\", expect_size=\"49903616\"] \n  11 -> 13 [size =\"49903616\"]\n  12 [size=\"83619840\", alpha=\"0.06\", expect_size=\"41809920\"] \n  13 [size=\"38174720\", alpha=\"0.01\", expect_size=\"19087360\"] \n  13 -> 14 [size =\"19087360\"]\n  13 -> 15 [size =\"19087360\"]\n  14 [size=\"32630784\", alpha=\"0.17\", expect_size=\"16315392\"] \n  14 -> 16 [size =\"16315392\"]\n  14 -> 17 [size =\"16315392\"]\n  15 [size=\"96051200\", alpha=\"0.06\", expect_size=\"48025600\"] \n  16 [size=\"84310016\", alpha=\"0.17\", expect_size=\"42155008\"] \n  17 [size=\"47546368\", alpha=\"0.01\", expect_size=\"23773184\"] \n  17 -> 18 [size =\"23773184\"]\n  18 [size=\"32278528\", alpha=\"0.03\", expect_size=\"16139264\"] \n  18 -> 19 [size =\"16139264\"]\n  19 [size=\"66902016\", alpha=\"0.10\", expect_size=\"33451008\"] \n  19 -> 20 [size =\"33451008\"]\n  20 [size=\"61124608\", alpha=\"0.00\", expect_size=\"30562304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49564160\", alpha=\"0.04\", expect_size=\"19825664\"] \n  1 -> 9 [size =\"19825664\"]\n  2 [size=\"98286080\", alpha=\"0.04\", expect_size=\"39314432\"] \n  2 -> 6 [size =\"39314432\"]\n  2 -> 8 [size =\"39314432\"]\n  2 -> 9 [size =\"39314432\"]\n  3 [size=\"19842560\", alpha=\"0.16\", expect_size=\"7937024\"] \n  3 -> 7 [size =\"7937024\"]\n  4 [size=\"101176320\", alpha=\"0.14\", expect_size=\"40470528\"] \n  4 -> 5 [size =\"40470528\"]\n  4 -> 7 [size =\"40470528\"]\n  5 [size=\"60695040\", alpha=\"0.08\", expect_size=\"24278016\"] \n  5 -> 11 [size =\"24278016\"]\n  6 [size=\"18757120\", alpha=\"0.10\", expect_size=\"7502848\"] \n  6 -> 10 [size =\"7502848\"]\n  6 -> 11 [size =\"7502848\"]\n  7 [size=\"87306240\", alpha=\"0.17\", expect_size=\"34922496\"] \n  7 -> 11 [size =\"34922496\"]\n  7 -> 12 [size =\"34922496\"]\n  8 [size=\"103221760\", alpha=\"0.14\", expect_size=\"41288704\"] \n  9 [size=\"53130240\", alpha=\"0.14\", expect_size=\"21252096\"] \n  9 -> 12 [size =\"21252096\"]\n  10 [size=\"92352000\", alpha=\"0.08\", expect_size=\"36940800\"] \n  11 [size=\"29798400\", alpha=\"0.05\", expect_size=\"11919360\"] \n  11 -> 13 [size =\"11919360\"]\n  11 -> 14 [size =\"11919360\"]\n  11 -> 15 [size =\"11919360\"]\n  12 [size=\"51307520\", alpha=\"0.19\", expect_size=\"20523008\"] \n  13 [size=\"74283520\", alpha=\"0.02\", expect_size=\"29713408\"] \n  13 -> 17 [size =\"29713408\"]\n  13 -> 18 [size =\"29713408\"]\n  14 [size=\"49105920\", alpha=\"0.17\", expect_size=\"19642368\"] \n  14 -> 16 [size =\"19642368\"]\n  14 -> 18 [size =\"19642368\"]\n  14 -> 19 [size =\"19642368\"]\n  15 [size=\"15424000\", alpha=\"0.08\", expect_size=\"6169600\"] \n  16 [size=\"64407040\", alpha=\"0.20\", expect_size=\"25762816\"] \n  17 [size=\"124183040\", alpha=\"0.20\", expect_size=\"49673216\"] \n  18 [size=\"108462080\", alpha=\"0.17\", expect_size=\"43384832\"] \n  19 [size=\"73290240\", alpha=\"0.07\", expect_size=\"29316096\"] \n  19 -> 20 [size =\"29316096\"]\n  20 [size=\"35013120\", alpha=\"0.18\", expect_size=\"14005248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126896640\", alpha=\"0.18\", expect_size=\"50758656\"] \n  1 -> 13 [size =\"50758656\"]\n  1 -> 20 [size =\"50758656\"]\n  2 [size=\"102228480\", alpha=\"0.20\", expect_size=\"40891392\"] \n  2 -> 20 [size =\"40891392\"]\n  3 [size=\"57136640\", alpha=\"0.02\", expect_size=\"22854656\"] \n  3 -> 14 [size =\"22854656\"]\n  3 -> 15 [size =\"22854656\"]\n  3 -> 20 [size =\"22854656\"]\n  4 [size=\"44336640\", alpha=\"0.06\", expect_size=\"17734656\"] \n  4 -> 17 [size =\"17734656\"]\n  4 -> 19 [size =\"17734656\"]\n  5 [size=\"43599360\", alpha=\"0.10\", expect_size=\"17439744\"] \n  5 -> 14 [size =\"17439744\"]\n  5 -> 15 [size =\"17439744\"]\n  5 -> 17 [size =\"17439744\"]\n  5 -> 20 [size =\"17439744\"]\n  6 [size=\"22343680\", alpha=\"0.06\", expect_size=\"8937472\"] \n  6 -> 13 [size =\"8937472\"]\n  6 -> 15 [size =\"8937472\"]\n  6 -> 18 [size =\"8937472\"]\n  7 [size=\"24898560\", alpha=\"0.09\", expect_size=\"9959424\"] \n  7 -> 13 [size =\"9959424\"]\n  7 -> 20 [size =\"9959424\"]\n  8 [size=\"94417920\", alpha=\"0.18\", expect_size=\"37767168\"] \n  9 [size=\"25136640\", alpha=\"0.11\", expect_size=\"10054656\"] \n  10 [size=\"127232000\", alpha=\"0.13\", expect_size=\"50892800\"] \n  10 -> 15 [size =\"50892800\"]\n  10 -> 16 [size =\"50892800\"]\n  10 -> 17 [size =\"50892800\"]\n  10 -> 18 [size =\"50892800\"]\n  11 [size=\"93975040\", alpha=\"0.01\", expect_size=\"37590016\"] \n  11 -> 16 [size =\"37590016\"]\n  12 [size=\"80588800\", alpha=\"0.12\", expect_size=\"32235520\"] \n  12 -> 14 [size =\"32235520\"]\n  13 [size=\"77923840\", alpha=\"0.07\", expect_size=\"31169536\"] \n  14 [size=\"92016640\", alpha=\"0.15\", expect_size=\"36806656\"] \n  15 [size=\"124756480\", alpha=\"0.05\", expect_size=\"49902592\"] \n  16 [size=\"66762240\", alpha=\"0.14\", expect_size=\"26704896\"] \n  17 [size=\"104074240\", alpha=\"0.03\", expect_size=\"41629696\"] \n  18 [size=\"41441280\", alpha=\"0.07\", expect_size=\"16576512\"] \n  19 [size=\"29271040\", alpha=\"0.15\", expect_size=\"11708416\"] \n  20 [size=\"93468160\", alpha=\"0.19\", expect_size=\"37387264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64337920\", alpha=\"0.00\", expect_size=\"32168960\"] \n  1 -> 2 [size =\"32168960\"]\n  2 [size=\"82339840\", alpha=\"0.19\", expect_size=\"41169920\"] \n  2 -> 3 [size =\"41169920\"]\n  3 [size=\"38862848\", alpha=\"0.11\", expect_size=\"19431424\"] \n  3 -> 4 [size =\"19431424\"]\n  4 [size=\"43167744\", alpha=\"0.08\", expect_size=\"21583872\"] \n  4 -> 5 [size =\"21583872\"]\n  5 [size=\"24537088\", alpha=\"0.03\", expect_size=\"12268544\"] \n  5 -> 6 [size =\"12268544\"]\n  6 [size=\"34269184\", alpha=\"0.14\", expect_size=\"17134592\"] \n  6 -> 7 [size =\"17134592\"]\n  7 [size=\"76574720\", alpha=\"0.12\", expect_size=\"38287360\"] \n  7 -> 8 [size =\"38287360\"]\n  8 [size=\"97224704\", alpha=\"0.09\", expect_size=\"48612352\"] \n  8 -> 9 [size =\"48612352\"]\n  9 [size=\"25671680\", alpha=\"0.03\", expect_size=\"12835840\"] \n  9 -> 10 [size =\"12835840\"]\n  10 [size=\"35952640\", alpha=\"0.09\", expect_size=\"17976320\"] \n  10 -> 11 [size =\"17976320\"]\n  11 [size=\"72280064\", alpha=\"0.02\", expect_size=\"36140032\"] \n  11 -> 12 [size =\"36140032\"]\n  12 [size=\"73613312\", alpha=\"0.14\", expect_size=\"36806656\"] \n  12 -> 13 [size =\"36806656\"]\n  13 [size=\"70973440\", alpha=\"0.08\", expect_size=\"35486720\"] \n  13 -> 14 [size =\"35486720\"]\n  14 [size=\"30160896\", alpha=\"0.19\", expect_size=\"15080448\"] \n  14 -> 15 [size =\"15080448\"]\n  15 [size=\"67735552\", alpha=\"0.10\", expect_size=\"33867776\"] \n  15 -> 16 [size =\"33867776\"]\n  16 [size=\"82642944\", alpha=\"0.19\", expect_size=\"41321472\"] \n  16 -> 17 [size =\"41321472\"]\n  17 [size=\"53747712\", alpha=\"0.14\", expect_size=\"26873856\"] \n  17 -> 18 [size =\"26873856\"]\n  18 [size=\"15153152\", alpha=\"0.10\", expect_size=\"7576576\"] \n  18 -> 19 [size =\"7576576\"]\n  19 [size=\"58363904\", alpha=\"0.11\", expect_size=\"29181952\"] \n  19 -> 20 [size =\"29181952\"]\n  20 [size=\"70852608\", alpha=\"0.17\", expect_size=\"35426304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57163093\", alpha=\"0.08\", expect_size=\"17148928\"] \n  2 [size=\"105523200\", alpha=\"0.07\", expect_size=\"31656960\"] \n  2 -> 7 [size =\"31656960\"]\n  3 [size=\"121477120\", alpha=\"0.15\", expect_size=\"36443136\"] \n  3 -> 5 [size =\"36443136\"]\n  3 -> 6 [size =\"36443136\"]\n  4 [size=\"109301760\", alpha=\"0.05\", expect_size=\"32790528\"] \n  4 -> 6 [size =\"32790528\"]\n  4 -> 7 [size =\"32790528\"]\n  5 [size=\"123634347\", alpha=\"0.14\", expect_size=\"37090304\"] \n  5 -> 8 [size =\"37090304\"]\n  5 -> 9 [size =\"37090304\"]\n  5 -> 10 [size =\"37090304\"]\n  6 [size=\"58893653\", alpha=\"0.10\", expect_size=\"17668096\"] \n  7 [size=\"103301120\", alpha=\"0.14\", expect_size=\"30990336\"] \n  7 -> 8 [size =\"30990336\"]\n  8 [size=\"103017813\", alpha=\"0.09\", expect_size=\"30905344\"] \n  8 -> 14 [size =\"30905344\"]\n  9 [size=\"64788480\", alpha=\"0.12\", expect_size=\"19436544\"] \n  9 -> 14 [size =\"19436544\"]\n  10 [size=\"71447893\", alpha=\"0.11\", expect_size=\"21434368\"] \n  10 -> 11 [size =\"21434368\"]\n  10 -> 12 [size =\"21434368\"]\n  10 -> 13 [size =\"21434368\"]\n  11 [size=\"126829227\", alpha=\"0.12\", expect_size=\"38048768\"] \n  11 -> 15 [size =\"38048768\"]\n  11 -> 16 [size =\"38048768\"]\n  11 -> 17 [size =\"38048768\"]\n  12 [size=\"32959147\", alpha=\"0.06\", expect_size=\"9887744\"] \n  13 [size=\"86592853\", alpha=\"0.03\", expect_size=\"25977856\"] \n  13 -> 15 [size =\"25977856\"]\n  13 -> 18 [size =\"25977856\"]\n  14 [size=\"47489707\", alpha=\"0.02\", expect_size=\"14246912\"] \n  15 [size=\"89890133\", alpha=\"0.16\", expect_size=\"26967040\"] \n  16 [size=\"43066027\", alpha=\"0.04\", expect_size=\"12919808\"] \n  16 -> 20 [size =\"12919808\"]\n  17 [size=\"119879680\", alpha=\"0.13\", expect_size=\"35963904\"] \n  17 -> 19 [size =\"35963904\"]\n  18 [size=\"73058987\", alpha=\"0.17\", expect_size=\"21917696\"] \n  18 -> 19 [size =\"21917696\"]\n  18 -> 20 [size =\"21917696\"]\n  19 [size=\"144315733\", alpha=\"0.13\", expect_size=\"43294720\"] \n  20 [size=\"77957120\", alpha=\"0.06\", expect_size=\"23387136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55681024\", alpha=\"0.00\", expect_size=\"27840512\"] \n  1 -> 5 [size =\"27840512\"]\n  2 [size=\"79796224\", alpha=\"0.13\", expect_size=\"39898112\"] \n  2 -> 5 [size =\"39898112\"]\n  2 -> 6 [size =\"39898112\"]\n  3 [size=\"102029312\", alpha=\"0.05\", expect_size=\"51014656\"] \n  3 -> 4 [size =\"51014656\"]\n  3 -> 5 [size =\"51014656\"]\n  3 -> 6 [size =\"51014656\"]\n  4 [size=\"58640384\", alpha=\"0.16\", expect_size=\"29320192\"] \n  4 -> 8 [size =\"29320192\"]\n  4 -> 9 [size =\"29320192\"]\n  5 [size=\"17070080\", alpha=\"0.07\", expect_size=\"8535040\"] \n  5 -> 8 [size =\"8535040\"]\n  5 -> 9 [size =\"8535040\"]\n  6 [size=\"46497792\", alpha=\"0.15\", expect_size=\"23248896\"] \n  6 -> 7 [size =\"23248896\"]\n  6 -> 8 [size =\"23248896\"]\n  6 -> 9 [size =\"23248896\"]\n  7 [size=\"59207680\", alpha=\"0.03\", expect_size=\"29603840\"] \n  7 -> 10 [size =\"29603840\"]\n  7 -> 11 [size =\"29603840\"]\n  7 -> 13 [size =\"29603840\"]\n  8 [size=\"99958784\", alpha=\"0.02\", expect_size=\"49979392\"] \n  8 -> 10 [size =\"49979392\"]\n  8 -> 11 [size =\"49979392\"]\n  8 -> 12 [size =\"49979392\"]\n  8 -> 13 [size =\"49979392\"]\n  9 [size=\"62220288\", alpha=\"0.11\", expect_size=\"31110144\"] \n  9 -> 10 [size =\"31110144\"]\n  9 -> 11 [size =\"31110144\"]\n  9 -> 12 [size =\"31110144\"]\n  9 -> 13 [size =\"31110144\"]\n  10 [size=\"76378112\", alpha=\"0.08\", expect_size=\"38189056\"] \n  10 -> 14 [size =\"38189056\"]\n  10 -> 15 [size =\"38189056\"]\n  10 -> 16 [size =\"38189056\"]\n  11 [size=\"57180160\", alpha=\"0.10\", expect_size=\"28590080\"] \n  11 -> 14 [size =\"28590080\"]\n  11 -> 15 [size =\"28590080\"]\n  11 -> 17 [size =\"28590080\"]\n  12 [size=\"58832896\", alpha=\"0.05\", expect_size=\"29416448\"] \n  12 -> 14 [size =\"29416448\"]\n  12 -> 15 [size =\"29416448\"]\n  12 -> 17 [size =\"29416448\"]\n  13 [size=\"27574272\", alpha=\"0.14\", expect_size=\"13787136\"] \n  13 -> 14 [size =\"13787136\"]\n  13 -> 15 [size =\"13787136\"]\n  13 -> 17 [size =\"13787136\"]\n  14 [size=\"50163712\", alpha=\"0.01\", expect_size=\"25081856\"] \n  14 -> 18 [size =\"25081856\"]\n  14 -> 20 [size =\"25081856\"]\n  15 [size=\"31655936\", alpha=\"0.12\", expect_size=\"15827968\"] \n  15 -> 18 [size =\"15827968\"]\n  15 -> 19 [size =\"15827968\"]\n  15 -> 20 [size =\"15827968\"]\n  16 [size=\"65062912\", alpha=\"0.08\", expect_size=\"32531456\"] \n  16 -> 18 [size =\"32531456\"]\n  16 -> 20 [size =\"32531456\"]\n  17 [size=\"40437760\", alpha=\"0.16\", expect_size=\"20218880\"] \n  18 [size=\"52910080\", alpha=\"0.15\", expect_size=\"26455040\"] \n  19 [size=\"61714432\", alpha=\"0.19\", expect_size=\"30857216\"] \n  20 [size=\"18997248\", alpha=\"0.14\", expect_size=\"9498624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173318827\", alpha=\"0.14\", expect_size=\"51995648\"] \n  1 -> 2 [size =\"51995648\"]\n  2 [size=\"170400427\", alpha=\"0.07\", expect_size=\"51120128\"] \n  2 -> 3 [size =\"51120128\"]\n  3 [size=\"23968427\", alpha=\"0.12\", expect_size=\"7190528\"] \n  3 -> 4 [size =\"7190528\"]\n  4 [size=\"128972800\", alpha=\"0.12\", expect_size=\"38691840\"] \n  4 -> 5 [size =\"38691840\"]\n  5 [size=\"94081707\", alpha=\"0.05\", expect_size=\"28224512\"] \n  5 -> 6 [size =\"28224512\"]\n  6 [size=\"126160213\", alpha=\"0.19\", expect_size=\"37848064\"] \n  6 -> 7 [size =\"37848064\"]\n  7 [size=\"159901013\", alpha=\"0.07\", expect_size=\"47970304\"] \n  7 -> 8 [size =\"47970304\"]\n  8 [size=\"123869867\", alpha=\"0.12\", expect_size=\"37160960\"] \n  8 -> 9 [size =\"37160960\"]\n  9 [size=\"131235840\", alpha=\"0.01\", expect_size=\"39370752\"] \n  9 -> 10 [size =\"39370752\"]\n  10 [size=\"161402880\", alpha=\"0.10\", expect_size=\"48420864\"] \n  10 -> 11 [size =\"48420864\"]\n  11 [size=\"58808320\", alpha=\"0.19\", expect_size=\"17642496\"] \n  11 -> 12 [size =\"17642496\"]\n  12 [size=\"172192427\", alpha=\"0.08\", expect_size=\"51657728\"] \n  12 -> 13 [size =\"51657728\"]\n  13 [size=\"67642027\", alpha=\"0.15\", expect_size=\"20292608\"] \n  13 -> 14 [size =\"20292608\"]\n  14 [size=\"163109547\", alpha=\"0.20\", expect_size=\"48932864\"] \n  14 -> 15 [size =\"48932864\"]\n  15 [size=\"97624747\", alpha=\"0.10\", expect_size=\"29287424\"] \n  15 -> 16 [size =\"29287424\"]\n  16 [size=\"138335573\", alpha=\"0.05\", expect_size=\"41500672\"] \n  16 -> 17 [size =\"41500672\"]\n  17 [size=\"131136853\", alpha=\"0.12\", expect_size=\"39341056\"] \n  17 -> 18 [size =\"39341056\"]\n  18 [size=\"29105493\", alpha=\"0.19\", expect_size=\"8731648\"] \n  18 -> 19 [size =\"8731648\"]\n  19 [size=\"125972480\", alpha=\"0.01\", expect_size=\"37791744\"] \n  19 -> 20 [size =\"37791744\"]\n  20 [size=\"131597653\", alpha=\"0.19\", expect_size=\"39479296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108533760\", alpha=\"0.02\", expect_size=\"43413504\"] \n  1 -> 3 [size =\"43413504\"]\n  1 -> 4 [size =\"43413504\"]\n  2 [size=\"47938560\", alpha=\"0.02\", expect_size=\"19175424\"] \n  3 [size=\"90616320\", alpha=\"0.07\", expect_size=\"36246528\"] \n  3 -> 5 [size =\"36246528\"]\n  3 -> 6 [size =\"36246528\"]\n  3 -> 8 [size =\"36246528\"]\n  4 [size=\"20584960\", alpha=\"0.17\", expect_size=\"8233984\"] \n  4 -> 7 [size =\"8233984\"]\n  4 -> 8 [size =\"8233984\"]\n  4 -> 9 [size =\"8233984\"]\n  5 [size=\"93555200\", alpha=\"0.12\", expect_size=\"37422080\"] \n  5 -> 11 [size =\"37422080\"]\n  5 -> 12 [size =\"37422080\"]\n  6 [size=\"29601280\", alpha=\"0.19\", expect_size=\"11840512\"] \n  6 -> 12 [size =\"11840512\"]\n  7 [size=\"108741120\", alpha=\"0.15\", expect_size=\"43496448\"] \n  7 -> 10 [size =\"43496448\"]\n  8 [size=\"109035520\", alpha=\"0.11\", expect_size=\"43614208\"] \n  9 [size=\"14533120\", alpha=\"0.08\", expect_size=\"5813248\"] \n  9 -> 12 [size =\"5813248\"]\n  10 [size=\"52538880\", alpha=\"0.02\", expect_size=\"21015552\"] \n  10 -> 13 [size =\"21015552\"]\n  11 [size=\"102768640\", alpha=\"0.16\", expect_size=\"41107456\"] \n  11 -> 13 [size =\"41107456\"]\n  11 -> 14 [size =\"41107456\"]\n  12 [size=\"111820800\", alpha=\"0.13\", expect_size=\"44728320\"] \n  13 [size=\"121239040\", alpha=\"0.17\", expect_size=\"48495616\"] \n  13 -> 15 [size =\"48495616\"]\n  13 -> 16 [size =\"48495616\"]\n  13 -> 17 [size =\"48495616\"]\n  14 [size=\"45099520\", alpha=\"0.14\", expect_size=\"18039808\"] \n  14 -> 15 [size =\"18039808\"]\n  14 -> 18 [size =\"18039808\"]\n  15 [size=\"27404800\", alpha=\"0.17\", expect_size=\"10961920\"] \n  15 -> 19 [size =\"10961920\"]\n  16 [size=\"99089920\", alpha=\"0.02\", expect_size=\"39635968\"] \n  16 -> 20 [size =\"39635968\"]\n  17 [size=\"92715520\", alpha=\"0.12\", expect_size=\"37086208\"] \n  18 [size=\"62499840\", alpha=\"0.09\", expect_size=\"24999936\"] \n  18 -> 19 [size =\"24999936\"]\n  19 [size=\"124887040\", alpha=\"0.08\", expect_size=\"49954816\"] \n  20 [size=\"53232640\", alpha=\"0.09\", expect_size=\"21293056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126650880\", alpha=\"0.09\", expect_size=\"50660352\"] \n  1 -> 18 [size =\"50660352\"]\n  1 -> 19 [size =\"50660352\"]\n  1 -> 20 [size =\"50660352\"]\n  2 [size=\"85944320\", alpha=\"0.08\", expect_size=\"34377728\"] \n  2 -> 16 [size =\"34377728\"]\n  3 [size=\"53877760\", alpha=\"0.06\", expect_size=\"21551104\"] \n  3 -> 15 [size =\"21551104\"]\n  3 -> 16 [size =\"21551104\"]\n  4 [size=\"87946240\", alpha=\"0.15\", expect_size=\"35178496\"] \n  4 -> 16 [size =\"35178496\"]\n  4 -> 17 [size =\"35178496\"]\n  4 -> 18 [size =\"35178496\"]\n  5 [size=\"93575680\", alpha=\"0.18\", expect_size=\"37430272\"] \n  5 -> 14 [size =\"37430272\"]\n  6 [size=\"58088960\", alpha=\"0.20\", expect_size=\"23235584\"] \n  6 -> 15 [size =\"23235584\"]\n  6 -> 17 [size =\"23235584\"]\n  6 -> 19 [size =\"23235584\"]\n  7 [size=\"45949440\", alpha=\"0.01\", expect_size=\"18379776\"] \n  7 -> 14 [size =\"18379776\"]\n  7 -> 16 [size =\"18379776\"]\n  7 -> 17 [size =\"18379776\"]\n  7 -> 19 [size =\"18379776\"]\n  8 [size=\"66677760\", alpha=\"0.05\", expect_size=\"26671104\"] \n  8 -> 16 [size =\"26671104\"]\n  8 -> 17 [size =\"26671104\"]\n  9 [size=\"57553920\", alpha=\"0.20\", expect_size=\"23021568\"] \n  9 -> 14 [size =\"23021568\"]\n  10 [size=\"67322880\", alpha=\"0.08\", expect_size=\"26929152\"] \n  10 -> 20 [size =\"26929152\"]\n  11 [size=\"58969600\", alpha=\"0.17\", expect_size=\"23587840\"] \n  11 -> 15 [size =\"23587840\"]\n  11 -> 17 [size =\"23587840\"]\n  11 -> 19 [size =\"23587840\"]\n  11 -> 20 [size =\"23587840\"]\n  12 [size=\"110712320\", alpha=\"0.20\", expect_size=\"44284928\"] \n  12 -> 17 [size =\"44284928\"]\n  13 [size=\"39111680\", alpha=\"0.14\", expect_size=\"15644672\"] \n  14 [size=\"75340800\", alpha=\"0.12\", expect_size=\"30136320\"] \n  15 [size=\"46105600\", alpha=\"0.17\", expect_size=\"18442240\"] \n  16 [size=\"36257280\", alpha=\"0.12\", expect_size=\"14502912\"] \n  17 [size=\"35494400\", alpha=\"0.15\", expect_size=\"14197760\"] \n  18 [size=\"39134720\", alpha=\"0.03\", expect_size=\"15653888\"] \n  19 [size=\"68823040\", alpha=\"0.15\", expect_size=\"27529216\"] \n  20 [size=\"66091520\", alpha=\"0.10\", expect_size=\"26436608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55715840\", alpha=\"0.09\", expect_size=\"22286336\"] \n  1 -> 5 [size =\"22286336\"]\n  1 -> 6 [size =\"22286336\"]\n  1 -> 7 [size =\"22286336\"]\n  2 [size=\"60881920\", alpha=\"0.19\", expect_size=\"24352768\"] \n  2 -> 6 [size =\"24352768\"]\n  2 -> 7 [size =\"24352768\"]\n  3 [size=\"92449280\", alpha=\"0.13\", expect_size=\"36979712\"] \n  3 -> 5 [size =\"36979712\"]\n  3 -> 7 [size =\"36979712\"]\n  4 [size=\"93107200\", alpha=\"0.18\", expect_size=\"37242880\"] \n  5 [size=\"84495360\", alpha=\"0.18\", expect_size=\"33798144\"] \n  5 -> 8 [size =\"33798144\"]\n  5 -> 9 [size =\"33798144\"]\n  6 [size=\"107898880\", alpha=\"0.04\", expect_size=\"43159552\"] \n  6 -> 8 [size =\"43159552\"]\n  6 -> 9 [size =\"43159552\"]\n  6 -> 11 [size =\"43159552\"]\n  7 [size=\"53127680\", alpha=\"0.06\", expect_size=\"21251072\"] \n  7 -> 8 [size =\"21251072\"]\n  7 -> 9 [size =\"21251072\"]\n  7 -> 10 [size =\"21251072\"]\n  7 -> 11 [size =\"21251072\"]\n  8 [size=\"71608320\", alpha=\"0.12\", expect_size=\"28643328\"] \n  8 -> 12 [size =\"28643328\"]\n  8 -> 13 [size =\"28643328\"]\n  9 [size=\"67041280\", alpha=\"0.17\", expect_size=\"26816512\"] \n  9 -> 12 [size =\"26816512\"]\n  10 [size=\"15997440\", alpha=\"0.03\", expect_size=\"6398976\"] \n  10 -> 12 [size =\"6398976\"]\n  10 -> 13 [size =\"6398976\"]\n  11 [size=\"81871360\", alpha=\"0.12\", expect_size=\"32748544\"] \n  11 -> 12 [size =\"32748544\"]\n  11 -> 13 [size =\"32748544\"]\n  12 [size=\"17664000\", alpha=\"0.09\", expect_size=\"7065600\"] \n  12 -> 14 [size =\"7065600\"]\n  12 -> 15 [size =\"7065600\"]\n  13 [size=\"130560000\", alpha=\"0.16\", expect_size=\"52224000\"] \n  13 -> 14 [size =\"52224000\"]\n  13 -> 15 [size =\"52224000\"]\n  13 -> 16 [size =\"52224000\"]\n  14 [size=\"90900480\", alpha=\"0.01\", expect_size=\"36360192\"] \n  14 -> 17 [size =\"36360192\"]\n  14 -> 19 [size =\"36360192\"]\n  14 -> 20 [size =\"36360192\"]\n  15 [size=\"80025600\", alpha=\"0.18\", expect_size=\"32010240\"] \n  15 -> 17 [size =\"32010240\"]\n  15 -> 18 [size =\"32010240\"]\n  15 -> 19 [size =\"32010240\"]\n  15 -> 20 [size =\"32010240\"]\n  16 [size=\"70638080\", alpha=\"0.06\", expect_size=\"28255232\"] \n  16 -> 18 [size =\"28255232\"]\n  16 -> 20 [size =\"28255232\"]\n  17 [size=\"93386240\", alpha=\"0.00\", expect_size=\"37354496\"] \n  18 [size=\"127805440\", alpha=\"0.03\", expect_size=\"51122176\"] \n  19 [size=\"78425600\", alpha=\"0.19\", expect_size=\"31370240\"] \n  20 [size=\"58972160\", alpha=\"0.17\", expect_size=\"23588864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26876587\", alpha=\"0.07\", expect_size=\"8062976\"] \n  1 -> 2 [size =\"8062976\"]\n  2 [size=\"84872533\", alpha=\"0.13\", expect_size=\"25461760\"] \n  2 -> 3 [size =\"25461760\"]\n  3 [size=\"128092160\", alpha=\"0.17\", expect_size=\"38427648\"] \n  3 -> 4 [size =\"38427648\"]\n  4 [size=\"48827733\", alpha=\"0.03\", expect_size=\"14648320\"] \n  4 -> 5 [size =\"14648320\"]\n  5 [size=\"61061120\", alpha=\"0.18\", expect_size=\"18318336\"] \n  5 -> 6 [size =\"18318336\"]\n  6 [size=\"87842133\", alpha=\"0.10\", expect_size=\"26352640\"] \n  6 -> 7 [size =\"26352640\"]\n  7 [size=\"98501973\", alpha=\"0.01\", expect_size=\"29550592\"] \n  7 -> 8 [size =\"29550592\"]\n  8 [size=\"151760213\", alpha=\"0.11\", expect_size=\"45528064\"] \n  8 -> 9 [size =\"45528064\"]\n  9 [size=\"65525760\", alpha=\"0.13\", expect_size=\"19657728\"] \n  9 -> 10 [size =\"19657728\"]\n  10 [size=\"165259947\", alpha=\"0.12\", expect_size=\"49577984\"] \n  10 -> 11 [size =\"49577984\"]\n  11 [size=\"107154773\", alpha=\"0.00\", expect_size=\"32146432\"] \n  11 -> 12 [size =\"32146432\"]\n  12 [size=\"159078400\", alpha=\"0.06\", expect_size=\"47723520\"] \n  12 -> 13 [size =\"47723520\"]\n  13 [size=\"104813227\", alpha=\"0.04\", expect_size=\"31443968\"] \n  13 -> 14 [size =\"31443968\"]\n  14 [size=\"78209707\", alpha=\"0.08\", expect_size=\"23462912\"] \n  14 -> 15 [size =\"23462912\"]\n  15 [size=\"105376427\", alpha=\"0.05\", expect_size=\"31612928\"] \n  15 -> 16 [size =\"31612928\"]\n  16 [size=\"90722987\", alpha=\"0.02\", expect_size=\"27216896\"] \n  16 -> 17 [size =\"27216896\"]\n  17 [size=\"167529813\", alpha=\"0.00\", expect_size=\"50258944\"] \n  17 -> 18 [size =\"50258944\"]\n  18 [size=\"19783680\", alpha=\"0.04\", expect_size=\"5935104\"] \n  18 -> 19 [size =\"5935104\"]\n  19 [size=\"103697067\", alpha=\"0.11\", expect_size=\"31109120\"] \n  19 -> 20 [size =\"31109120\"]\n  20 [size=\"45209600\", alpha=\"0.06\", expect_size=\"13562880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93112320\", alpha=\"0.19\", expect_size=\"46556160\"] \n  1 -> 8 [size =\"46556160\"]\n  1 -> 9 [size =\"46556160\"]\n  1 -> 11 [size =\"46556160\"]\n  1 -> 12 [size =\"46556160\"]\n  2 [size=\"86452224\", alpha=\"0.04\", expect_size=\"43226112\"] \n  2 -> 9 [size =\"43226112\"]\n  2 -> 9 [size =\"43226112\"]\n  2 -> 13 [size =\"43226112\"]\n  2 -> 15 [size =\"43226112\"]\n  2 -> 16 [size =\"43226112\"]\n  2 -> 18 [size =\"43226112\"]\n  2 -> 19 [size =\"43226112\"]\n  3 [size=\"80640000\", alpha=\"0.12\", expect_size=\"40320000\"] \n  3 -> 10 [size =\"40320000\"]\n  3 -> 11 [size =\"40320000\"]\n  3 -> 13 [size =\"40320000\"]\n  3 -> 14 [size =\"40320000\"]\n  3 -> 17 [size =\"40320000\"]\n  3 -> 18 [size =\"40320000\"]\n  4 [size=\"83861504\", alpha=\"0.03\", expect_size=\"41930752\"] \n  4 -> 8 [size =\"41930752\"]\n  4 -> 11 [size =\"41930752\"]\n  4 -> 13 [size =\"41930752\"]\n  5 [size=\"59226112\", alpha=\"0.19\", expect_size=\"29613056\"] \n  5 -> 11 [size =\"29613056\"]\n  5 -> 13 [size =\"29613056\"]\n  5 -> 13 [size =\"29613056\"]\n  5 -> 15 [size =\"29613056\"]\n  5 -> 17 [size =\"29613056\"]\n  5 -> 18 [size =\"29613056\"]\n  6 [size=\"46166016\", alpha=\"0.04\", expect_size=\"23083008\"] \n  6 -> 9 [size =\"23083008\"]\n  6 -> 11 [size =\"23083008\"]\n  6 -> 16 [size =\"23083008\"]\n  6 -> 18 [size =\"23083008\"]\n  7 [size=\"12453888\", alpha=\"0.04\", expect_size=\"6226944\"] \n  7 -> 9 [size =\"6226944\"]\n  7 -> 12 [size =\"6226944\"]\n  7 -> 16 [size =\"6226944\"]\n  8 [size=\"82059264\", alpha=\"0.13\", expect_size=\"41029632\"] \n  8 -> 20 [size =\"41029632\"]\n  9 [size=\"36831232\", alpha=\"0.07\", expect_size=\"18415616\"] \n  9 -> 20 [size =\"18415616\"]\n  10 [size=\"97601536\", alpha=\"0.15\", expect_size=\"48800768\"] \n  10 -> 20 [size =\"48800768\"]\n  11 [size=\"29513728\", alpha=\"0.06\", expect_size=\"14756864\"] \n  12 [size=\"24090624\", alpha=\"0.19\", expect_size=\"12045312\"] \n  12 -> 20 [size =\"12045312\"]\n  13 [size=\"40960000\", alpha=\"0.16\", expect_size=\"20480000\"] \n  14 [size=\"98148352\", alpha=\"0.07\", expect_size=\"49074176\"] \n  14 -> 20 [size =\"49074176\"]\n  15 [size=\"16230400\", alpha=\"0.08\", expect_size=\"8115200\"] \n  15 -> 20 [size =\"8115200\"]\n  16 [size=\"13119488\", alpha=\"0.17\", expect_size=\"6559744\"] \n  17 [size=\"33171456\", alpha=\"0.12\", expect_size=\"16585728\"] \n  18 [size=\"50202624\", alpha=\"0.04\", expect_size=\"25101312\"] \n  18 -> 20 [size =\"25101312\"]\n  19 [size=\"15714304\", alpha=\"0.04\", expect_size=\"7857152\"] \n  20 [size=\"47904768\", alpha=\"0.06\", expect_size=\"23952384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44259328\", alpha=\"0.03\", expect_size=\"22129664\"] \n  1 -> 2 [size =\"22129664\"]\n  2 [size=\"97634304\", alpha=\"0.02\", expect_size=\"48817152\"] \n  2 -> 3 [size =\"48817152\"]\n  3 [size=\"15675392\", alpha=\"0.14\", expect_size=\"7837696\"] \n  3 -> 4 [size =\"7837696\"]\n  4 [size=\"102019072\", alpha=\"0.10\", expect_size=\"51009536\"] \n  4 -> 5 [size =\"51009536\"]\n  5 [size=\"29650944\", alpha=\"0.00\", expect_size=\"14825472\"] \n  5 -> 6 [size =\"14825472\"]\n  6 [size=\"68349952\", alpha=\"0.11\", expect_size=\"34174976\"] \n  6 -> 7 [size =\"34174976\"]\n  7 [size=\"44965888\", alpha=\"0.19\", expect_size=\"22482944\"] \n  7 -> 8 [size =\"22482944\"]\n  8 [size=\"33796096\", alpha=\"0.11\", expect_size=\"16898048\"] \n  8 -> 9 [size =\"16898048\"]\n  9 [size=\"49362944\", alpha=\"0.10\", expect_size=\"24681472\"] \n  9 -> 10 [size =\"24681472\"]\n  10 [size=\"84072448\", alpha=\"0.15\", expect_size=\"42036224\"] \n  10 -> 11 [size =\"42036224\"]\n  11 [size=\"63932416\", alpha=\"0.08\", expect_size=\"31966208\"] \n  11 -> 12 [size =\"31966208\"]\n  12 [size=\"78241792\", alpha=\"0.02\", expect_size=\"39120896\"] \n  12 -> 13 [size =\"39120896\"]\n  13 [size=\"86198272\", alpha=\"0.05\", expect_size=\"43099136\"] \n  13 -> 14 [size =\"43099136\"]\n  14 [size=\"59320320\", alpha=\"0.09\", expect_size=\"29660160\"] \n  14 -> 15 [size =\"29660160\"]\n  15 [size=\"11466752\", alpha=\"0.10\", expect_size=\"5733376\"] \n  15 -> 16 [size =\"5733376\"]\n  16 [size=\"12433408\", alpha=\"0.08\", expect_size=\"6216704\"] \n  16 -> 17 [size =\"6216704\"]\n  17 [size=\"63309824\", alpha=\"0.13\", expect_size=\"31654912\"] \n  17 -> 18 [size =\"31654912\"]\n  18 [size=\"58966016\", alpha=\"0.06\", expect_size=\"29483008\"] \n  18 -> 19 [size =\"29483008\"]\n  19 [size=\"15237120\", alpha=\"0.11\", expect_size=\"7618560\"] \n  19 -> 20 [size =\"7618560\"]\n  20 [size=\"60086272\", alpha=\"0.16\", expect_size=\"30043136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59856213\", alpha=\"0.20\", expect_size=\"17956864\"] \n  1 -> 6 [size =\"17956864\"]\n  1 -> 7 [size =\"17956864\"]\n  2 [size=\"76376747\", alpha=\"0.12\", expect_size=\"22913024\"] \n  3 [size=\"128730453\", alpha=\"0.05\", expect_size=\"38619136\"] \n  3 -> 5 [size =\"38619136\"]\n  3 -> 7 [size =\"38619136\"]\n  4 [size=\"85019307\", alpha=\"0.12\", expect_size=\"25505792\"] \n  4 -> 6 [size =\"25505792\"]\n  5 [size=\"64662187\", alpha=\"0.15\", expect_size=\"19398656\"] \n  5 -> 8 [size =\"19398656\"]\n  5 -> 9 [size =\"19398656\"]\n  6 [size=\"23197013\", alpha=\"0.18\", expect_size=\"6959104\"] \n  6 -> 10 [size =\"6959104\"]\n  7 [size=\"43472213\", alpha=\"0.10\", expect_size=\"13041664\"] \n  7 -> 9 [size =\"13041664\"]\n  8 [size=\"137714347\", alpha=\"0.12\", expect_size=\"41314304\"] \n  8 -> 11 [size =\"41314304\"]\n  8 -> 13 [size =\"41314304\"]\n  9 [size=\"83496960\", alpha=\"0.12\", expect_size=\"25049088\"] \n  9 -> 12 [size =\"25049088\"]\n  10 [size=\"93764267\", alpha=\"0.07\", expect_size=\"28129280\"] \n  11 [size=\"123914240\", alpha=\"0.19\", expect_size=\"37174272\"] \n  11 -> 14 [size =\"37174272\"]\n  11 -> 16 [size =\"37174272\"]\n  12 [size=\"120439467\", alpha=\"0.11\", expect_size=\"36131840\"] \n  12 -> 15 [size =\"36131840\"]\n  13 [size=\"54558720\", alpha=\"0.09\", expect_size=\"16367616\"] \n  13 -> 16 [size =\"16367616\"]\n  13 -> 17 [size =\"16367616\"]\n  14 [size=\"91234987\", alpha=\"0.06\", expect_size=\"27370496\"] \n  14 -> 20 [size =\"27370496\"]\n  15 [size=\"27852800\", alpha=\"0.19\", expect_size=\"8355840\"] \n  15 -> 19 [size =\"8355840\"]\n  16 [size=\"143213227\", alpha=\"0.06\", expect_size=\"42963968\"] \n  17 [size=\"130416640\", alpha=\"0.13\", expect_size=\"39124992\"] \n  17 -> 18 [size =\"39124992\"]\n  18 [size=\"52841813\", alpha=\"0.08\", expect_size=\"15852544\"] \n  19 [size=\"143810560\", alpha=\"0.19\", expect_size=\"43143168\"] \n  20 [size=\"84077227\", alpha=\"0.11\", expect_size=\"25223168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95682560\", alpha=\"0.01\", expect_size=\"28704768\"] \n  1 -> 2 [size =\"28704768\"]\n  2 [size=\"42605227\", alpha=\"0.11\", expect_size=\"12781568\"] \n  2 -> 3 [size =\"12781568\"]\n  3 [size=\"169728000\", alpha=\"0.18\", expect_size=\"50918400\"] \n  3 -> 4 [size =\"50918400\"]\n  4 [size=\"110346240\", alpha=\"0.18\", expect_size=\"33103872\"] \n  4 -> 5 [size =\"33103872\"]\n  5 [size=\"119569067\", alpha=\"0.01\", expect_size=\"35870720\"] \n  5 -> 6 [size =\"35870720\"]\n  6 [size=\"84561920\", alpha=\"0.06\", expect_size=\"25368576\"] \n  6 -> 7 [size =\"25368576\"]\n  7 [size=\"138280960\", alpha=\"0.18\", expect_size=\"41484288\"] \n  7 -> 8 [size =\"41484288\"]\n  8 [size=\"43871573\", alpha=\"0.05\", expect_size=\"13161472\"] \n  8 -> 9 [size =\"13161472\"]\n  9 [size=\"85961387\", alpha=\"0.02\", expect_size=\"25788416\"] \n  9 -> 10 [size =\"25788416\"]\n  10 [size=\"122132480\", alpha=\"0.15\", expect_size=\"36639744\"] \n  10 -> 11 [size =\"36639744\"]\n  11 [size=\"139277653\", alpha=\"0.10\", expect_size=\"41783296\"] \n  11 -> 12 [size =\"41783296\"]\n  12 [size=\"148036267\", alpha=\"0.13\", expect_size=\"44410880\"] \n  12 -> 13 [size =\"44410880\"]\n  13 [size=\"75823787\", alpha=\"0.05\", expect_size=\"22747136\"] \n  13 -> 14 [size =\"22747136\"]\n  14 [size=\"59709440\", alpha=\"0.02\", expect_size=\"17912832\"] \n  14 -> 15 [size =\"17912832\"]\n  15 [size=\"42574507\", alpha=\"0.10\", expect_size=\"12772352\"] \n  15 -> 16 [size =\"12772352\"]\n  16 [size=\"50008747\", alpha=\"0.13\", expect_size=\"15002624\"] \n  16 -> 17 [size =\"15002624\"]\n  17 [size=\"96621227\", alpha=\"0.05\", expect_size=\"28986368\"] \n  17 -> 18 [size =\"28986368\"]\n  18 [size=\"77465600\", alpha=\"0.12\", expect_size=\"23239680\"] \n  18 -> 19 [size =\"23239680\"]\n  19 [size=\"118425600\", alpha=\"0.11\", expect_size=\"35527680\"] \n  19 -> 20 [size =\"35527680\"]\n  20 [size=\"136424107\", alpha=\"0.10\", expect_size=\"40927232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92043947\", alpha=\"0.00\", expect_size=\"27613184\"] \n  1 -> 4 [size =\"27613184\"]\n  1 -> 5 [size =\"27613184\"]\n  2 [size=\"136195413\", alpha=\"0.02\", expect_size=\"40858624\"] \n  2 -> 6 [size =\"40858624\"]\n  3 [size=\"125876907\", alpha=\"0.02\", expect_size=\"37763072\"] \n  3 -> 4 [size =\"37763072\"]\n  3 -> 5 [size =\"37763072\"]\n  4 [size=\"139929600\", alpha=\"0.01\", expect_size=\"41978880\"] \n  4 -> 7 [size =\"41978880\"]\n  4 -> 10 [size =\"41978880\"]\n  5 [size=\"102772053\", alpha=\"0.03\", expect_size=\"30831616\"] \n  5 -> 7 [size =\"30831616\"]\n  5 -> 9 [size =\"30831616\"]\n  5 -> 10 [size =\"30831616\"]\n  6 [size=\"72796160\", alpha=\"0.08\", expect_size=\"21838848\"] \n  6 -> 7 [size =\"21838848\"]\n  6 -> 8 [size =\"21838848\"]\n  6 -> 9 [size =\"21838848\"]\n  6 -> 10 [size =\"21838848\"]\n  7 [size=\"39802880\", alpha=\"0.18\", expect_size=\"11940864\"] \n  7 -> 11 [size =\"11940864\"]\n  7 -> 12 [size =\"11940864\"]\n  7 -> 13 [size =\"11940864\"]\n  8 [size=\"168232960\", alpha=\"0.04\", expect_size=\"50469888\"] \n  8 -> 12 [size =\"50469888\"]\n  8 -> 13 [size =\"50469888\"]\n  8 -> 13 [size =\"50469888\"]\n  9 [size=\"37256533\", alpha=\"0.12\", expect_size=\"11176960\"] \n  10 [size=\"130720427\", alpha=\"0.05\", expect_size=\"39216128\"] \n  10 -> 11 [size =\"39216128\"]\n  10 -> 12 [size =\"39216128\"]\n  10 -> 13 [size =\"39216128\"]\n  11 [size=\"94095360\", alpha=\"0.14\", expect_size=\"28228608\"] \n  11 -> 14 [size =\"28228608\"]\n  11 -> 15 [size =\"28228608\"]\n  11 -> 17 [size =\"28228608\"]\n  12 [size=\"95853227\", alpha=\"0.02\", expect_size=\"28755968\"] \n  12 -> 16 [size =\"28755968\"]\n  12 -> 17 [size =\"28755968\"]\n  13 [size=\"107915947\", alpha=\"0.20\", expect_size=\"32374784\"] \n  13 -> 16 [size =\"32374784\"]\n  14 [size=\"120603307\", alpha=\"0.12\", expect_size=\"36180992\"] \n  14 -> 18 [size =\"36180992\"]\n  14 -> 19 [size =\"36180992\"]\n  15 [size=\"128703147\", alpha=\"0.00\", expect_size=\"38610944\"] \n  15 -> 19 [size =\"38610944\"]\n  15 -> 19 [size =\"38610944\"]\n  15 -> 20 [size =\"38610944\"]\n  16 [size=\"151569067\", alpha=\"0.10\", expect_size=\"45470720\"] \n  16 -> 19 [size =\"45470720\"]\n  16 -> 20 [size =\"45470720\"]\n  16 -> 20 [size =\"45470720\"]\n  17 [size=\"58105173\", alpha=\"0.20\", expect_size=\"17431552\"] \n  17 -> 20 [size =\"17431552\"]\n  18 [size=\"41069227\", alpha=\"0.01\", expect_size=\"12320768\"] \n  19 [size=\"76113920\", alpha=\"0.07\", expect_size=\"22834176\"] \n  20 [size=\"171772587\", alpha=\"0.19\", expect_size=\"51531776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98777088\", alpha=\"0.04\", expect_size=\"49388544\"] \n  2 [size=\"28614656\", alpha=\"0.02\", expect_size=\"14307328\"] \n  2 -> 12 [size =\"14307328\"]\n  3 [size=\"97259520\", alpha=\"0.08\", expect_size=\"48629760\"] \n  3 -> 14 [size =\"48629760\"]\n  4 [size=\"56395776\", alpha=\"0.01\", expect_size=\"28197888\"] \n  4 -> 13 [size =\"28197888\"]\n  5 [size=\"75767808\", alpha=\"0.02\", expect_size=\"37883904\"] \n  5 -> 13 [size =\"37883904\"]\n  6 [size=\"50311168\", alpha=\"0.06\", expect_size=\"25155584\"] \n  6 -> 14 [size =\"25155584\"]\n  7 [size=\"100401152\", alpha=\"0.13\", expect_size=\"50200576\"] \n  8 [size=\"66453504\", alpha=\"0.16\", expect_size=\"33226752\"] \n  8 -> 14 [size =\"33226752\"]\n  9 [size=\"42637312\", alpha=\"0.17\", expect_size=\"21318656\"] \n  9 -> 13 [size =\"21318656\"]\n  9 -> 15 [size =\"21318656\"]\n  10 [size=\"43356160\", alpha=\"0.01\", expect_size=\"21678080\"] \n  10 -> 16 [size =\"21678080\"]\n  11 [size=\"62121984\", alpha=\"0.01\", expect_size=\"31060992\"] \n  12 [size=\"81766400\", alpha=\"0.02\", expect_size=\"40883200\"] \n  12 -> 17 [size =\"40883200\"]\n  12 -> 18 [size =\"40883200\"]\n  12 -> 19 [size =\"40883200\"]\n  13 [size=\"93245440\", alpha=\"0.01\", expect_size=\"46622720\"] \n  13 -> 20 [size =\"46622720\"]\n  14 [size=\"36626432\", alpha=\"0.00\", expect_size=\"18313216\"] \n  14 -> 17 [size =\"18313216\"]\n  14 -> 18 [size =\"18313216\"]\n  14 -> 20 [size =\"18313216\"]\n  15 [size=\"42625024\", alpha=\"0.19\", expect_size=\"21312512\"] \n  16 [size=\"50157568\", alpha=\"0.14\", expect_size=\"25078784\"] \n  17 [size=\"77516800\", alpha=\"0.02\", expect_size=\"38758400\"] \n  18 [size=\"44279808\", alpha=\"0.11\", expect_size=\"22139904\"] \n  19 [size=\"26429440\", alpha=\"0.06\", expect_size=\"13214720\"] \n  20 [size=\"12251136\", alpha=\"0.20\", expect_size=\"6125568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125189120\", alpha=\"0.16\", expect_size=\"50075648\"] \n  1 -> 2 [size =\"50075648\"]\n  2 [size=\"120209920\", alpha=\"0.19\", expect_size=\"48083968\"] \n  2 -> 3 [size =\"48083968\"]\n  3 [size=\"42726400\", alpha=\"0.20\", expect_size=\"17090560\"] \n  3 -> 4 [size =\"17090560\"]\n  4 [size=\"72266240\", alpha=\"0.13\", expect_size=\"28906496\"] \n  4 -> 5 [size =\"28906496\"]\n  5 [size=\"18140160\", alpha=\"0.04\", expect_size=\"7256064\"] \n  5 -> 6 [size =\"7256064\"]\n  6 [size=\"122698240\", alpha=\"0.03\", expect_size=\"49079296\"] \n  6 -> 7 [size =\"49079296\"]\n  7 [size=\"77555200\", alpha=\"0.15\", expect_size=\"31022080\"] \n  7 -> 8 [size =\"31022080\"]\n  8 [size=\"14248960\", alpha=\"0.11\", expect_size=\"5699584\"] \n  8 -> 9 [size =\"5699584\"]\n  9 [size=\"24442880\", alpha=\"0.13\", expect_size=\"9777152\"] \n  9 -> 10 [size =\"9777152\"]\n  10 [size=\"122314240\", alpha=\"0.20\", expect_size=\"48925696\"] \n  10 -> 11 [size =\"48925696\"]\n  11 [size=\"74240000\", alpha=\"0.12\", expect_size=\"29696000\"] \n  11 -> 12 [size =\"29696000\"]\n  12 [size=\"49231360\", alpha=\"0.03\", expect_size=\"19692544\"] \n  12 -> 13 [size =\"19692544\"]\n  13 [size=\"41669120\", alpha=\"0.09\", expect_size=\"16667648\"] \n  13 -> 14 [size =\"16667648\"]\n  14 [size=\"38901760\", alpha=\"0.11\", expect_size=\"15560704\"] \n  14 -> 15 [size =\"15560704\"]\n  15 [size=\"112744960\", alpha=\"0.20\", expect_size=\"45097984\"] \n  15 -> 16 [size =\"45097984\"]\n  16 [size=\"19540480\", alpha=\"0.11\", expect_size=\"7816192\"] \n  16 -> 17 [size =\"7816192\"]\n  17 [size=\"35330560\", alpha=\"0.08\", expect_size=\"14132224\"] \n  17 -> 18 [size =\"14132224\"]\n  18 [size=\"121984000\", alpha=\"0.19\", expect_size=\"48793600\"] \n  18 -> 19 [size =\"48793600\"]\n  19 [size=\"67484160\", alpha=\"0.12\", expect_size=\"26993664\"] \n  19 -> 20 [size =\"26993664\"]\n  20 [size=\"28103680\", alpha=\"0.07\", expect_size=\"11241472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40089600\", alpha=\"0.07\", expect_size=\"12026880\"] \n  1 -> 4 [size =\"12026880\"]\n  1 -> 7 [size =\"12026880\"]\n  2 [size=\"138147840\", alpha=\"0.01\", expect_size=\"41444352\"] \n  2 -> 6 [size =\"41444352\"]\n  3 [size=\"33594027\", alpha=\"0.11\", expect_size=\"10078208\"] \n  3 -> 5 [size =\"10078208\"]\n  3 -> 7 [size =\"10078208\"]\n  4 [size=\"102894933\", alpha=\"0.03\", expect_size=\"30868480\"] \n  4 -> 8 [size =\"30868480\"]\n  4 -> 11 [size =\"30868480\"]\n  5 [size=\"50537813\", alpha=\"0.12\", expect_size=\"15161344\"] \n  5 -> 8 [size =\"15161344\"]\n  5 -> 9 [size =\"15161344\"]\n  5 -> 10 [size =\"15161344\"]\n  6 [size=\"125675520\", alpha=\"0.03\", expect_size=\"37702656\"] \n  6 -> 8 [size =\"37702656\"]\n  6 -> 11 [size =\"37702656\"]\n  7 [size=\"22664533\", alpha=\"0.13\", expect_size=\"6799360\"] \n  7 -> 11 [size =\"6799360\"]\n  8 [size=\"40768853\", alpha=\"0.13\", expect_size=\"12230656\"] \n  8 -> 12 [size =\"12230656\"]\n  8 -> 13 [size =\"12230656\"]\n  8 -> 15 [size =\"12230656\"]\n  9 [size=\"71304533\", alpha=\"0.10\", expect_size=\"21391360\"] \n  9 -> 14 [size =\"21391360\"]\n  9 -> 15 [size =\"21391360\"]\n  10 [size=\"57852587\", alpha=\"0.05\", expect_size=\"17355776\"] \n  10 -> 12 [size =\"17355776\"]\n  10 -> 13 [size =\"17355776\"]\n  10 -> 14 [size =\"17355776\"]\n  11 [size=\"73168213\", alpha=\"0.19\", expect_size=\"21950464\"] \n  11 -> 12 [size =\"21950464\"]\n  11 -> 15 [size =\"21950464\"]\n  12 [size=\"128300373\", alpha=\"0.09\", expect_size=\"38490112\"] \n  12 -> 16 [size =\"38490112\"]\n  12 -> 18 [size =\"38490112\"]\n  12 -> 19 [size =\"38490112\"]\n  13 [size=\"137076053\", alpha=\"0.13\", expect_size=\"41122816\"] \n  13 -> 17 [size =\"41122816\"]\n  13 -> 18 [size =\"41122816\"]\n  13 -> 19 [size =\"41122816\"]\n  14 [size=\"64658773\", alpha=\"0.06\", expect_size=\"19397632\"] \n  14 -> 16 [size =\"19397632\"]\n  15 [size=\"87975253\", alpha=\"0.05\", expect_size=\"26392576\"] \n  15 -> 16 [size =\"26392576\"]\n  15 -> 18 [size =\"26392576\"]\n  16 [size=\"23924053\", alpha=\"0.19\", expect_size=\"7177216\"] \n  16 -> 20 [size =\"7177216\"]\n  17 [size=\"47233707\", alpha=\"0.07\", expect_size=\"14170112\"] \n  18 [size=\"152432640\", alpha=\"0.20\", expect_size=\"45729792\"] \n  18 -> 20 [size =\"45729792\"]\n  19 [size=\"93863253\", alpha=\"0.00\", expect_size=\"28158976\"] \n  19 -> 20 [size =\"28158976\"]\n  20 [size=\"171758933\", alpha=\"0.15\", expect_size=\"51527680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48102400\", alpha=\"0.19\", expect_size=\"19240960\"] \n  1 -> 5 [size =\"19240960\"]\n  1 -> 6 [size =\"19240960\"]\n  1 -> 7 [size =\"19240960\"]\n  1 -> 8 [size =\"19240960\"]\n  2 [size=\"72104960\", alpha=\"0.08\", expect_size=\"28841984\"] \n  2 -> 7 [size =\"28841984\"]\n  2 -> 8 [size =\"28841984\"]\n  3 [size=\"106536960\", alpha=\"0.09\", expect_size=\"42614784\"] \n  3 -> 7 [size =\"42614784\"]\n  4 [size=\"78458880\", alpha=\"0.12\", expect_size=\"31383552\"] \n  4 -> 5 [size =\"31383552\"]\n  4 -> 8 [size =\"31383552\"]\n  5 [size=\"100044800\", alpha=\"0.06\", expect_size=\"40017920\"] \n  5 -> 12 [size =\"40017920\"]\n  6 [size=\"83340800\", alpha=\"0.10\", expect_size=\"33336320\"] \n  6 -> 10 [size =\"33336320\"]\n  6 -> 11 [size =\"33336320\"]\n  6 -> 12 [size =\"33336320\"]\n  7 [size=\"113134080\", alpha=\"0.01\", expect_size=\"45253632\"] \n  7 -> 11 [size =\"45253632\"]\n  8 [size=\"112168960\", alpha=\"0.11\", expect_size=\"44867584\"] \n  8 -> 9 [size =\"44867584\"]\n  9 [size=\"62704640\", alpha=\"0.02\", expect_size=\"25081856\"] \n  9 -> 13 [size =\"25081856\"]\n  9 -> 15 [size =\"25081856\"]\n  10 [size=\"105346560\", alpha=\"0.03\", expect_size=\"42138624\"] \n  10 -> 14 [size =\"42138624\"]\n  11 [size=\"89372160\", alpha=\"0.12\", expect_size=\"35748864\"] \n  12 [size=\"81722880\", alpha=\"0.19\", expect_size=\"32689152\"] \n  12 -> 14 [size =\"32689152\"]\n  12 -> 15 [size =\"32689152\"]\n  13 [size=\"129328640\", alpha=\"0.20\", expect_size=\"51731456\"] \n  13 -> 16 [size =\"51731456\"]\n  13 -> 17 [size =\"51731456\"]\n  14 [size=\"65704960\", alpha=\"0.03\", expect_size=\"26281984\"] \n  14 -> 16 [size =\"26281984\"]\n  15 [size=\"17912320\", alpha=\"0.18\", expect_size=\"7164928\"] \n  15 -> 16 [size =\"7164928\"]\n  15 -> 17 [size =\"7164928\"]\n  16 [size=\"52651520\", alpha=\"0.06\", expect_size=\"21060608\"] \n  16 -> 18 [size =\"21060608\"]\n  16 -> 19 [size =\"21060608\"]\n  17 [size=\"110479360\", alpha=\"0.18\", expect_size=\"44191744\"] \n  17 -> 18 [size =\"44191744\"]\n  17 -> 19 [size =\"44191744\"]\n  18 [size=\"114844160\", alpha=\"0.13\", expect_size=\"45937664\"] \n  18 -> 20 [size =\"45937664\"]\n  19 [size=\"64360960\", alpha=\"0.02\", expect_size=\"25744384\"] \n  19 -> 20 [size =\"25744384\"]\n  20 [size=\"75164160\", alpha=\"0.13\", expect_size=\"30065664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109585067\", alpha=\"0.01\", expect_size=\"32875520\"] \n  1 -> 7 [size =\"32875520\"]\n  1 -> 8 [size =\"32875520\"]\n  2 [size=\"33737387\", alpha=\"0.14\", expect_size=\"10121216\"] \n  2 -> 8 [size =\"10121216\"]\n  3 [size=\"128351573\", alpha=\"0.10\", expect_size=\"38505472\"] \n  3 -> 5 [size =\"38505472\"]\n  3 -> 7 [size =\"38505472\"]\n  4 [size=\"155654827\", alpha=\"0.04\", expect_size=\"46696448\"] \n  4 -> 5 [size =\"46696448\"]\n  4 -> 6 [size =\"46696448\"]\n  4 -> 8 [size =\"46696448\"]\n  5 [size=\"171588267\", alpha=\"0.18\", expect_size=\"51476480\"] \n  5 -> 11 [size =\"51476480\"]\n  6 [size=\"159252480\", alpha=\"0.13\", expect_size=\"47775744\"] \n  6 -> 10 [size =\"47775744\"]\n  6 -> 12 [size =\"47775744\"]\n  7 [size=\"87889920\", alpha=\"0.00\", expect_size=\"26366976\"] \n  7 -> 10 [size =\"26366976\"]\n  7 -> 12 [size =\"26366976\"]\n  8 [size=\"84493653\", alpha=\"0.08\", expect_size=\"25348096\"] \n  8 -> 9 [size =\"25348096\"]\n  8 -> 10 [size =\"25348096\"]\n  8 -> 11 [size =\"25348096\"]\n  9 [size=\"143605760\", alpha=\"0.18\", expect_size=\"43081728\"] \n  10 [size=\"84538027\", alpha=\"0.08\", expect_size=\"25361408\"] \n  10 -> 14 [size =\"25361408\"]\n  11 [size=\"81380693\", alpha=\"0.15\", expect_size=\"24414208\"] \n  11 -> 13 [size =\"24414208\"]\n  11 -> 14 [size =\"24414208\"]\n  12 [size=\"92644693\", alpha=\"0.06\", expect_size=\"27793408\"] \n  12 -> 13 [size =\"27793408\"]\n  12 -> 14 [size =\"27793408\"]\n  13 [size=\"45817173\", alpha=\"0.14\", expect_size=\"13745152\"] \n  13 -> 16 [size =\"13745152\"]\n  13 -> 17 [size =\"13745152\"]\n  14 [size=\"125190827\", alpha=\"0.02\", expect_size=\"37557248\"] \n  14 -> 15 [size =\"37557248\"]\n  14 -> 17 [size =\"37557248\"]\n  15 [size=\"157207893\", alpha=\"0.03\", expect_size=\"47162368\"] \n  15 -> 18 [size =\"47162368\"]\n  15 -> 20 [size =\"47162368\"]\n  16 [size=\"138325333\", alpha=\"0.03\", expect_size=\"41497600\"] \n  16 -> 19 [size =\"41497600\"]\n  17 [size=\"80083627\", alpha=\"0.19\", expect_size=\"24025088\"] \n  17 -> 18 [size =\"24025088\"]\n  17 -> 19 [size =\"24025088\"]\n  18 [size=\"80711680\", alpha=\"0.19\", expect_size=\"24213504\"] \n  19 [size=\"140148053\", alpha=\"0.16\", expect_size=\"42044416\"] \n  20 [size=\"123825493\", alpha=\"0.12\", expect_size=\"37147648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74369707\", alpha=\"0.16\", expect_size=\"22310912\"] \n  1 -> 10 [size =\"22310912\"]\n  2 [size=\"93146453\", alpha=\"0.06\", expect_size=\"27943936\"] \n  2 -> 5 [size =\"27943936\"]\n  2 -> 7 [size =\"27943936\"]\n  2 -> 8 [size =\"27943936\"]\n  2 -> 9 [size =\"27943936\"]\n  2 -> 10 [size =\"27943936\"]\n  3 [size=\"102905173\", alpha=\"0.10\", expect_size=\"30871552\"] \n  3 -> 5 [size =\"30871552\"]\n  3 -> 7 [size =\"30871552\"]\n  3 -> 8 [size =\"30871552\"]\n  4 [size=\"96938667\", alpha=\"0.16\", expect_size=\"29081600\"] \n  4 -> 5 [size =\"29081600\"]\n  4 -> 6 [size =\"29081600\"]\n  4 -> 8 [size =\"29081600\"]\n  5 [size=\"62723413\", alpha=\"0.07\", expect_size=\"18817024\"] \n  5 -> 13 [size =\"18817024\"]\n  5 -> 14 [size =\"18817024\"]\n  5 -> 15 [size =\"18817024\"]\n  6 [size=\"79278080\", alpha=\"0.00\", expect_size=\"23783424\"] \n  6 -> 11 [size =\"23783424\"]\n  6 -> 16 [size =\"23783424\"]\n  6 -> 17 [size =\"23783424\"]\n  6 -> 18 [size =\"23783424\"]\n  7 [size=\"161675947\", alpha=\"0.18\", expect_size=\"48502784\"] \n  7 -> 12 [size =\"48502784\"]\n  7 -> 13 [size =\"48502784\"]\n  7 -> 14 [size =\"48502784\"]\n  7 -> 18 [size =\"48502784\"]\n  7 -> 19 [size =\"48502784\"]\n  8 [size=\"61061120\", alpha=\"0.17\", expect_size=\"18318336\"] \n  8 -> 13 [size =\"18318336\"]\n  8 -> 18 [size =\"18318336\"]\n  9 [size=\"52684800\", alpha=\"0.01\", expect_size=\"15805440\"] \n  9 -> 11 [size =\"15805440\"]\n  9 -> 13 [size =\"15805440\"]\n  9 -> 14 [size =\"15805440\"]\n  10 [size=\"55272107\", alpha=\"0.16\", expect_size=\"16581632\"] \n  10 -> 12 [size =\"16581632\"]\n  10 -> 19 [size =\"16581632\"]\n  11 [size=\"156644693\", alpha=\"0.04\", expect_size=\"46993408\"] \n  11 -> 20 [size =\"46993408\"]\n  12 [size=\"127023787\", alpha=\"0.18\", expect_size=\"38107136\"] \n  13 [size=\"170646187\", alpha=\"0.18\", expect_size=\"51193856\"] \n  14 [size=\"94030507\", alpha=\"0.08\", expect_size=\"28209152\"] \n  15 [size=\"63204693\", alpha=\"0.13\", expect_size=\"18961408\"] \n  16 [size=\"121961813\", alpha=\"0.14\", expect_size=\"36588544\"] \n  17 [size=\"124863147\", alpha=\"0.12\", expect_size=\"37458944\"] \n  18 [size=\"111813973\", alpha=\"0.10\", expect_size=\"33544192\"] \n  19 [size=\"84930560\", alpha=\"0.01\", expect_size=\"25479168\"] \n  20 [size=\"92508160\", alpha=\"0.18\", expect_size=\"27752448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61440000\", alpha=\"0.17\", expect_size=\"18432000\"] \n  1 -> 12 [size =\"18432000\"]\n  1 -> 14 [size =\"18432000\"]\n  2 [size=\"100461227\", alpha=\"0.06\", expect_size=\"30138368\"] \n  2 -> 12 [size =\"30138368\"]\n  2 -> 13 [size =\"30138368\"]\n  2 -> 14 [size =\"30138368\"]\n  2 -> 15 [size =\"30138368\"]\n  3 [size=\"86609920\", alpha=\"0.17\", expect_size=\"25982976\"] \n  3 -> 11 [size =\"25982976\"]\n  3 -> 12 [size =\"25982976\"]\n  3 -> 14 [size =\"25982976\"]\n  4 [size=\"144418133\", alpha=\"0.09\", expect_size=\"43325440\"] \n  4 -> 12 [size =\"43325440\"]\n  5 [size=\"129665707\", alpha=\"0.15\", expect_size=\"38899712\"] \n  5 -> 11 [size =\"38899712\"]\n  5 -> 13 [size =\"38899712\"]\n  6 [size=\"135157760\", alpha=\"0.13\", expect_size=\"40547328\"] \n  7 [size=\"113872213\", alpha=\"0.02\", expect_size=\"34161664\"] \n  8 [size=\"74004480\", alpha=\"0.17\", expect_size=\"22201344\"] \n  8 -> 10 [size =\"22201344\"]\n  9 [size=\"48906240\", alpha=\"0.12\", expect_size=\"14671872\"] \n  9 -> 12 [size =\"14671872\"]\n  10 [size=\"136335360\", alpha=\"0.16\", expect_size=\"40900608\"] \n  10 -> 18 [size =\"40900608\"]\n  11 [size=\"109974187\", alpha=\"0.00\", expect_size=\"32992256\"] \n  11 -> 18 [size =\"32992256\"]\n  11 -> 19 [size =\"32992256\"]\n  12 [size=\"87947947\", alpha=\"0.11\", expect_size=\"26384384\"] \n  12 -> 16 [size =\"26384384\"]\n  12 -> 18 [size =\"26384384\"]\n  12 -> 19 [size =\"26384384\"]\n  12 -> 20 [size =\"26384384\"]\n  13 [size=\"133502293\", alpha=\"0.02\", expect_size=\"40050688\"] \n  13 -> 17 [size =\"40050688\"]\n  13 -> 19 [size =\"40050688\"]\n  13 -> 20 [size =\"40050688\"]\n  14 [size=\"109137920\", alpha=\"0.04\", expect_size=\"32741376\"] \n  14 -> 16 [size =\"32741376\"]\n  15 [size=\"25033387\", alpha=\"0.07\", expect_size=\"7510016\"] \n  15 -> 20 [size =\"7510016\"]\n  16 [size=\"143575040\", alpha=\"0.01\", expect_size=\"43072512\"] \n  17 [size=\"90265600\", alpha=\"0.17\", expect_size=\"27079680\"] \n  18 [size=\"106659840\", alpha=\"0.11\", expect_size=\"31997952\"] \n  19 [size=\"80110933\", alpha=\"0.19\", expect_size=\"24033280\"] \n  20 [size=\"20213760\", alpha=\"0.01\", expect_size=\"6064128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56586240\", alpha=\"0.18\", expect_size=\"16975872\"] \n  1 -> 4 [size =\"16975872\"]\n  1 -> 5 [size =\"16975872\"]\n  1 -> 6 [size =\"16975872\"]\n  2 [size=\"34447360\", alpha=\"0.13\", expect_size=\"10334208\"] \n  2 -> 4 [size =\"10334208\"]\n  2 -> 5 [size =\"10334208\"]\n  2 -> 6 [size =\"10334208\"]\n  3 [size=\"34583893\", alpha=\"0.19\", expect_size=\"10375168\"] \n  4 [size=\"38205440\", alpha=\"0.06\", expect_size=\"11461632\"] \n  4 -> 8 [size =\"11461632\"]\n  4 -> 9 [size =\"11461632\"]\n  4 -> 10 [size =\"11461632\"]\n  5 [size=\"117227520\", alpha=\"0.16\", expect_size=\"35168256\"] \n  5 -> 9 [size =\"35168256\"]\n  5 -> 11 [size =\"35168256\"]\n  6 [size=\"52292267\", alpha=\"0.17\", expect_size=\"15687680\"] \n  6 -> 7 [size =\"15687680\"]\n  6 -> 8 [size =\"15687680\"]\n  6 -> 10 [size =\"15687680\"]\n  7 [size=\"67679573\", alpha=\"0.15\", expect_size=\"20303872\"] \n  7 -> 12 [size =\"20303872\"]\n  7 -> 14 [size =\"20303872\"]\n  8 [size=\"110619307\", alpha=\"0.15\", expect_size=\"33185792\"] \n  8 -> 12 [size =\"33185792\"]\n  9 [size=\"94552747\", alpha=\"0.05\", expect_size=\"28365824\"] \n  9 -> 12 [size =\"28365824\"]\n  9 -> 13 [size =\"28365824\"]\n  10 [size=\"84930560\", alpha=\"0.07\", expect_size=\"25479168\"] \n  10 -> 13 [size =\"25479168\"]\n  10 -> 13 [size =\"25479168\"]\n  10 -> 14 [size =\"25479168\"]\n  11 [size=\"53951147\", alpha=\"0.10\", expect_size=\"16185344\"] \n  11 -> 12 [size =\"16185344\"]\n  11 -> 14 [size =\"16185344\"]\n  12 [size=\"38591147\", alpha=\"0.01\", expect_size=\"11577344\"] \n  12 -> 16 [size =\"11577344\"]\n  13 [size=\"144124587\", alpha=\"0.15\", expect_size=\"43237376\"] \n  13 -> 15 [size =\"43237376\"]\n  14 [size=\"136410453\", alpha=\"0.15\", expect_size=\"40923136\"] \n  14 -> 15 [size =\"40923136\"]\n  14 -> 16 [size =\"40923136\"]\n  15 [size=\"23961600\", alpha=\"0.06\", expect_size=\"7188480\"] \n  15 -> 17 [size =\"7188480\"]\n  15 -> 19 [size =\"7188480\"]\n  15 -> 20 [size =\"7188480\"]\n  16 [size=\"151210667\", alpha=\"0.20\", expect_size=\"45363200\"] \n  16 -> 18 [size =\"45363200\"]\n  16 -> 19 [size =\"45363200\"]\n  17 [size=\"127631360\", alpha=\"0.13\", expect_size=\"38289408\"] \n  18 [size=\"89043627\", alpha=\"0.04\", expect_size=\"26713088\"] \n  19 [size=\"49885867\", alpha=\"0.04\", expect_size=\"14965760\"] \n  20 [size=\"88480427\", alpha=\"0.13\", expect_size=\"26544128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121364480\", alpha=\"0.11\", expect_size=\"36409344\"] \n  1 -> 4 [size =\"36409344\"]\n  1 -> 5 [size =\"36409344\"]\n  1 -> 6 [size =\"36409344\"]\n  1 -> 7 [size =\"36409344\"]\n  2 [size=\"121460053\", alpha=\"0.10\", expect_size=\"36438016\"] \n  2 -> 3 [size =\"36438016\"]\n  3 [size=\"94436693\", alpha=\"0.07\", expect_size=\"28331008\"] \n  4 [size=\"55313067\", alpha=\"0.04\", expect_size=\"16593920\"] \n  4 -> 8 [size =\"16593920\"]\n  4 -> 9 [size =\"16593920\"]\n  5 [size=\"91504640\", alpha=\"0.13\", expect_size=\"27451392\"] \n  5 -> 8 [size =\"27451392\"]\n  6 [size=\"62883840\", alpha=\"0.13\", expect_size=\"18865152\"] \n  6 -> 8 [size =\"18865152\"]\n  6 -> 10 [size =\"18865152\"]\n  6 -> 11 [size =\"18865152\"]\n  7 [size=\"147077120\", alpha=\"0.03\", expect_size=\"44123136\"] \n  7 -> 11 [size =\"44123136\"]\n  8 [size=\"163109547\", alpha=\"0.13\", expect_size=\"48932864\"] \n  8 -> 12 [size =\"48932864\"]\n  9 [size=\"172963840\", alpha=\"0.07\", expect_size=\"51889152\"] \n  9 -> 13 [size =\"51889152\"]\n  10 [size=\"44393813\", alpha=\"0.10\", expect_size=\"13318144\"] \n  10 -> 13 [size =\"13318144\"]\n  11 [size=\"122624000\", alpha=\"0.12\", expect_size=\"36787200\"] \n  11 -> 12 [size =\"36787200\"]\n  12 [size=\"51961173\", alpha=\"0.10\", expect_size=\"15588352\"] \n  12 -> 16 [size =\"15588352\"]\n  13 [size=\"133451093\", alpha=\"0.04\", expect_size=\"40035328\"] \n  13 -> 14 [size =\"40035328\"]\n  13 -> 15 [size =\"40035328\"]\n  13 -> 17 [size =\"40035328\"]\n  14 [size=\"32522240\", alpha=\"0.07\", expect_size=\"9756672\"] \n  14 -> 19 [size =\"9756672\"]\n  15 [size=\"63638187\", alpha=\"0.05\", expect_size=\"19091456\"] \n  15 -> 18 [size =\"19091456\"]\n  15 -> 19 [size =\"19091456\"]\n  16 [size=\"167178240\", alpha=\"0.08\", expect_size=\"50153472\"] \n  17 [size=\"110609067\", alpha=\"0.07\", expect_size=\"33182720\"] \n  17 -> 18 [size =\"33182720\"]\n  18 [size=\"138001067\", alpha=\"0.12\", expect_size=\"41400320\"] \n  18 -> 20 [size =\"41400320\"]\n  19 [size=\"86698667\", alpha=\"0.14\", expect_size=\"26009600\"] \n  20 [size=\"141475840\", alpha=\"0.08\", expect_size=\"42442752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103058773\", alpha=\"0.19\", expect_size=\"30917632\"] \n  1 -> 16 [size =\"30917632\"]\n  1 -> 18 [size =\"30917632\"]\n  1 -> 19 [size =\"30917632\"]\n  2 [size=\"55965013\", alpha=\"0.05\", expect_size=\"16789504\"] \n  2 -> 14 [size =\"16789504\"]\n  2 -> 15 [size =\"16789504\"]\n  2 -> 18 [size =\"16789504\"]\n  2 -> 19 [size =\"16789504\"]\n  3 [size=\"98225493\", alpha=\"0.12\", expect_size=\"29467648\"] \n  3 -> 15 [size =\"29467648\"]\n  3 -> 18 [size =\"29467648\"]\n  4 [size=\"173963947\", alpha=\"0.06\", expect_size=\"52189184\"] \n  4 -> 15 [size =\"52189184\"]\n  4 -> 17 [size =\"52189184\"]\n  5 [size=\"85811200\", alpha=\"0.07\", expect_size=\"25743360\"] \n  5 -> 14 [size =\"25743360\"]\n  5 -> 19 [size =\"25743360\"]\n  6 [size=\"145520640\", alpha=\"0.07\", expect_size=\"43656192\"] \n  6 -> 14 [size =\"43656192\"]\n  6 -> 18 [size =\"43656192\"]\n  7 [size=\"167611733\", alpha=\"0.02\", expect_size=\"50283520\"] \n  7 -> 14 [size =\"50283520\"]\n  8 [size=\"110830933\", alpha=\"0.13\", expect_size=\"33249280\"] \n  8 -> 14 [size =\"33249280\"]\n  8 -> 18 [size =\"33249280\"]\n  8 -> 19 [size =\"33249280\"]\n  9 [size=\"123794773\", alpha=\"0.15\", expect_size=\"37138432\"] \n  9 -> 17 [size =\"37138432\"]\n  9 -> 18 [size =\"37138432\"]\n  10 [size=\"77434880\", alpha=\"0.18\", expect_size=\"23230464\"] \n  10 -> 18 [size =\"23230464\"]\n  10 -> 19 [size =\"23230464\"]\n  11 [size=\"49353387\", alpha=\"0.20\", expect_size=\"14806016\"] \n  11 -> 16 [size =\"14806016\"]\n  11 -> 17 [size =\"14806016\"]\n  11 -> 19 [size =\"14806016\"]\n  11 -> 20 [size =\"14806016\"]\n  12 [size=\"42960213\", alpha=\"0.09\", expect_size=\"12888064\"] \n  13 [size=\"81247573\", alpha=\"0.15\", expect_size=\"24374272\"] \n  13 -> 15 [size =\"24374272\"]\n  13 -> 17 [size =\"24374272\"]\n  13 -> 19 [size =\"24374272\"]\n  14 [size=\"174155093\", alpha=\"0.03\", expect_size=\"52246528\"] \n  15 [size=\"64822613\", alpha=\"0.04\", expect_size=\"19446784\"] \n  16 [size=\"122139307\", alpha=\"0.14\", expect_size=\"36641792\"] \n  17 [size=\"19722240\", alpha=\"0.11\", expect_size=\"5916672\"] \n  18 [size=\"37963093\", alpha=\"0.07\", expect_size=\"11388928\"] \n  19 [size=\"137407147\", alpha=\"0.06\", expect_size=\"41222144\"] \n  20 [size=\"98836480\", alpha=\"0.11\", expect_size=\"29650944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89643520\", alpha=\"0.07\", expect_size=\"35857408\"] \n  1 -> 13 [size =\"35857408\"]\n  1 -> 14 [size =\"35857408\"]\n  1 -> 18 [size =\"35857408\"]\n  1 -> 20 [size =\"35857408\"]\n  2 [size=\"93980160\", alpha=\"0.17\", expect_size=\"37592064\"] \n  2 -> 12 [size =\"37592064\"]\n  2 -> 14 [size =\"37592064\"]\n  2 -> 16 [size =\"37592064\"]\n  2 -> 17 [size =\"37592064\"]\n  3 [size=\"86645760\", alpha=\"0.12\", expect_size=\"34658304\"] \n  3 -> 13 [size =\"34658304\"]\n  3 -> 16 [size =\"34658304\"]\n  4 [size=\"109550080\", alpha=\"0.08\", expect_size=\"43820032\"] \n  4 -> 13 [size =\"43820032\"]\n  4 -> 16 [size =\"43820032\"]\n  4 -> 18 [size =\"43820032\"]\n  5 [size=\"62218240\", alpha=\"0.15\", expect_size=\"24887296\"] \n  5 -> 19 [size =\"24887296\"]\n  6 [size=\"53342720\", alpha=\"0.13\", expect_size=\"21337088\"] \n  6 -> 13 [size =\"21337088\"]\n  6 -> 16 [size =\"21337088\"]\n  6 -> 17 [size =\"21337088\"]\n  6 -> 19 [size =\"21337088\"]\n  6 -> 20 [size =\"21337088\"]\n  7 [size=\"83596800\", alpha=\"0.00\", expect_size=\"33438720\"] \n  7 -> 13 [size =\"33438720\"]\n  7 -> 19 [size =\"33438720\"]\n  8 [size=\"52497920\", alpha=\"0.12\", expect_size=\"20999168\"] \n  8 -> 12 [size =\"20999168\"]\n  8 -> 16 [size =\"20999168\"]\n  8 -> 19 [size =\"20999168\"]\n  9 [size=\"83125760\", alpha=\"0.09\", expect_size=\"33250304\"] \n  9 -> 13 [size =\"33250304\"]\n  9 -> 15 [size =\"33250304\"]\n  10 [size=\"72906240\", alpha=\"0.06\", expect_size=\"29162496\"] \n  10 -> 13 [size =\"29162496\"]\n  10 -> 16 [size =\"29162496\"]\n  10 -> 17 [size =\"29162496\"]\n  10 -> 19 [size =\"29162496\"]\n  11 [size=\"31349760\", alpha=\"0.01\", expect_size=\"12539904\"] \n  11 -> 13 [size =\"12539904\"]\n  11 -> 16 [size =\"12539904\"]\n  11 -> 20 [size =\"12539904\"]\n  12 [size=\"70003200\", alpha=\"0.14\", expect_size=\"28001280\"] \n  13 [size=\"50416640\", alpha=\"0.13\", expect_size=\"20166656\"] \n  14 [size=\"122416640\", alpha=\"0.18\", expect_size=\"48966656\"] \n  15 [size=\"52764160\", alpha=\"0.07\", expect_size=\"21105664\"] \n  16 [size=\"20815360\", alpha=\"0.05\", expect_size=\"8326144\"] \n  17 [size=\"100398080\", alpha=\"0.14\", expect_size=\"40159232\"] \n  18 [size=\"103272960\", alpha=\"0.19\", expect_size=\"41309184\"] \n  19 [size=\"55424000\", alpha=\"0.07\", expect_size=\"22169600\"] \n  20 [size=\"107827200\", alpha=\"0.16\", expect_size=\"43130880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161532587\", alpha=\"0.05\", expect_size=\"48459776\"] \n  2 [size=\"35853653\", alpha=\"0.03\", expect_size=\"10756096\"] \n  2 -> 5 [size =\"10756096\"]\n  2 -> 6 [size =\"10756096\"]\n  3 [size=\"20186453\", alpha=\"0.18\", expect_size=\"6055936\"] \n  3 -> 5 [size =\"6055936\"]\n  3 -> 6 [size =\"6055936\"]\n  4 [size=\"157426347\", alpha=\"0.17\", expect_size=\"47227904\"] \n  4 -> 7 [size =\"47227904\"]\n  5 [size=\"142250667\", alpha=\"0.15\", expect_size=\"42675200\"] \n  5 -> 8 [size =\"42675200\"]\n  6 [size=\"24692053\", alpha=\"0.01\", expect_size=\"7407616\"] \n  6 -> 9 [size =\"7407616\"]\n  7 [size=\"48148480\", alpha=\"0.00\", expect_size=\"14444544\"] \n  7 -> 9 [size =\"14444544\"]\n  7 -> 10 [size =\"14444544\"]\n  8 [size=\"58712747\", alpha=\"0.13\", expect_size=\"17613824\"] \n  8 -> 11 [size =\"17613824\"]\n  9 [size=\"46028800\", alpha=\"0.02\", expect_size=\"13808640\"] \n  9 -> 12 [size =\"13808640\"]\n  10 [size=\"85749760\", alpha=\"0.16\", expect_size=\"25724928\"] \n  10 -> 13 [size =\"25724928\"]\n  11 [size=\"26835627\", alpha=\"0.14\", expect_size=\"8050688\"] \n  11 -> 14 [size =\"8050688\"]\n  11 -> 17 [size =\"8050688\"]\n  12 [size=\"63385600\", alpha=\"0.17\", expect_size=\"19015680\"] \n  12 -> 15 [size =\"19015680\"]\n  12 -> 16 [size =\"19015680\"]\n  13 [size=\"85258240\", alpha=\"0.07\", expect_size=\"25577472\"] \n  14 [size=\"69058560\", alpha=\"0.19\", expect_size=\"20717568\"] \n  14 -> 18 [size =\"20717568\"]\n  14 -> 19 [size =\"20717568\"]\n  14 -> 20 [size =\"20717568\"]\n  15 [size=\"48114347\", alpha=\"0.09\", expect_size=\"14434304\"] \n  16 [size=\"164379307\", alpha=\"0.08\", expect_size=\"49313792\"] \n  16 -> 19 [size =\"49313792\"]\n  17 [size=\"18544640\", alpha=\"0.09\", expect_size=\"5563392\"] \n  17 -> 20 [size =\"5563392\"]\n  18 [size=\"20029440\", alpha=\"0.11\", expect_size=\"6008832\"] \n  19 [size=\"119224320\", alpha=\"0.06\", expect_size=\"35767296\"] \n  20 [size=\"135611733\", alpha=\"0.07\", expect_size=\"40683520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69065387\", alpha=\"0.08\", expect_size=\"20719616\"] \n  1 -> 4 [size =\"20719616\"]\n  2 [size=\"146288640\", alpha=\"0.18\", expect_size=\"43886592\"] \n  2 -> 3 [size =\"43886592\"]\n  3 [size=\"126306987\", alpha=\"0.18\", expect_size=\"37892096\"] \n  3 -> 5 [size =\"37892096\"]\n  4 [size=\"122736640\", alpha=\"0.07\", expect_size=\"36820992\"] \n  5 [size=\"44578133\", alpha=\"0.19\", expect_size=\"13373440\"] \n  5 -> 6 [size =\"13373440\"]\n  6 [size=\"123665067\", alpha=\"0.06\", expect_size=\"37099520\"] \n  6 -> 7 [size =\"37099520\"]\n  6 -> 8 [size =\"37099520\"]\n  7 [size=\"165345280\", alpha=\"0.02\", expect_size=\"49603584\"] \n  7 -> 9 [size =\"49603584\"]\n  7 -> 10 [size =\"49603584\"]\n  8 [size=\"65191253\", alpha=\"0.13\", expect_size=\"19557376\"] \n  9 [size=\"155398827\", alpha=\"0.03\", expect_size=\"46619648\"] \n  10 [size=\"53319680\", alpha=\"0.17\", expect_size=\"15995904\"] \n  10 -> 11 [size =\"15995904\"]\n  11 [size=\"48909653\", alpha=\"0.19\", expect_size=\"14672896\"] \n  11 -> 12 [size =\"14672896\"]\n  11 -> 13 [size =\"14672896\"]\n  12 [size=\"110407680\", alpha=\"0.08\", expect_size=\"33122304\"] \n  12 -> 14 [size =\"33122304\"]\n  13 [size=\"95945387\", alpha=\"0.05\", expect_size=\"28783616\"] \n  14 [size=\"80049493\", alpha=\"0.12\", expect_size=\"24014848\"] \n  14 -> 15 [size =\"24014848\"]\n  14 -> 16 [size =\"24014848\"]\n  15 [size=\"132372480\", alpha=\"0.02\", expect_size=\"39711744\"] \n  15 -> 18 [size =\"39711744\"]\n  16 [size=\"124456960\", alpha=\"0.19\", expect_size=\"37337088\"] \n  16 -> 17 [size =\"37337088\"]\n  17 [size=\"168912213\", alpha=\"0.12\", expect_size=\"50673664\"] \n  17 -> 19 [size =\"50673664\"]\n  18 [size=\"25224533\", alpha=\"0.15\", expect_size=\"7567360\"] \n  18 -> 20 [size =\"7567360\"]\n  19 [size=\"128211627\", alpha=\"0.00\", expect_size=\"38463488\"] \n  20 [size=\"155600213\", alpha=\"0.02\", expect_size=\"46680064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61255680\", alpha=\"0.05\", expect_size=\"30627840\"] \n  1 -> 2 [size =\"30627840\"]\n  2 [size=\"64126976\", alpha=\"0.10\", expect_size=\"32063488\"] \n  2 -> 3 [size =\"32063488\"]\n  3 [size=\"44617728\", alpha=\"0.00\", expect_size=\"22308864\"] \n  3 -> 4 [size =\"22308864\"]\n  4 [size=\"95565824\", alpha=\"0.11\", expect_size=\"47782912\"] \n  4 -> 5 [size =\"47782912\"]\n  5 [size=\"13324288\", alpha=\"0.13\", expect_size=\"6662144\"] \n  5 -> 6 [size =\"6662144\"]\n  6 [size=\"54335488\", alpha=\"0.00\", expect_size=\"27167744\"] \n  6 -> 7 [size =\"27167744\"]\n  7 [size=\"17272832\", alpha=\"0.20\", expect_size=\"8636416\"] \n  7 -> 8 [size =\"8636416\"]\n  8 [size=\"33390592\", alpha=\"0.12\", expect_size=\"16695296\"] \n  8 -> 9 [size =\"16695296\"]\n  9 [size=\"54556672\", alpha=\"0.07\", expect_size=\"27278336\"] \n  9 -> 10 [size =\"27278336\"]\n  10 [size=\"37904384\", alpha=\"0.08\", expect_size=\"18952192\"] \n  10 -> 11 [size =\"18952192\"]\n  11 [size=\"99346432\", alpha=\"0.14\", expect_size=\"49673216\"] \n  11 -> 12 [size =\"49673216\"]\n  12 [size=\"28321792\", alpha=\"0.16\", expect_size=\"14160896\"] \n  12 -> 13 [size =\"14160896\"]\n  13 [size=\"73347072\", alpha=\"0.17\", expect_size=\"36673536\"] \n  13 -> 14 [size =\"36673536\"]\n  14 [size=\"74016768\", alpha=\"0.00\", expect_size=\"37008384\"] \n  14 -> 15 [size =\"37008384\"]\n  15 [size=\"30439424\", alpha=\"0.13\", expect_size=\"15219712\"] \n  15 -> 16 [size =\"15219712\"]\n  16 [size=\"92823552\", alpha=\"0.06\", expect_size=\"46411776\"] \n  16 -> 17 [size =\"46411776\"]\n  17 [size=\"95008768\", alpha=\"0.17\", expect_size=\"47504384\"] \n  17 -> 18 [size =\"47504384\"]\n  18 [size=\"93247488\", alpha=\"0.15\", expect_size=\"46623744\"] \n  18 -> 19 [size =\"46623744\"]\n  19 [size=\"56170496\", alpha=\"0.10\", expect_size=\"28085248\"] \n  19 -> 20 [size =\"28085248\"]\n  20 [size=\"88209408\", alpha=\"0.14\", expect_size=\"44104704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82657280\", alpha=\"0.19\", expect_size=\"41328640\"] \n  1 -> 6 [size =\"41328640\"]\n  1 -> 11 [size =\"41328640\"]\n  1 -> 13 [size =\"41328640\"]\n  1 -> 14 [size =\"41328640\"]\n  2 [size=\"18618368\", alpha=\"0.11\", expect_size=\"9309184\"] \n  2 -> 7 [size =\"9309184\"]\n  2 -> 8 [size =\"9309184\"]\n  2 -> 9 [size =\"9309184\"]\n  2 -> 12 [size =\"9309184\"]\n  3 [size=\"22740992\", alpha=\"0.12\", expect_size=\"11370496\"] \n  3 -> 6 [size =\"11370496\"]\n  3 -> 7 [size =\"11370496\"]\n  3 -> 9 [size =\"11370496\"]\n  3 -> 13 [size =\"11370496\"]\n  3 -> 14 [size =\"11370496\"]\n  3 -> 15 [size =\"11370496\"]\n  3 -> 16 [size =\"11370496\"]\n  4 [size=\"51169280\", alpha=\"0.17\", expect_size=\"25584640\"] \n  4 -> 8 [size =\"25584640\"]\n  4 -> 10 [size =\"25584640\"]\n  4 -> 16 [size =\"25584640\"]\n  5 [size=\"72280064\", alpha=\"0.09\", expect_size=\"36140032\"] \n  5 -> 6 [size =\"36140032\"]\n  6 [size=\"54038528\", alpha=\"0.04\", expect_size=\"27019264\"] \n  6 -> 18 [size =\"27019264\"]\n  6 -> 20 [size =\"27019264\"]\n  7 [size=\"46540800\", alpha=\"0.16\", expect_size=\"23270400\"] \n  8 [size=\"18563072\", alpha=\"0.06\", expect_size=\"9281536\"] \n  8 -> 18 [size =\"9281536\"]\n  9 [size=\"100208640\", alpha=\"0.11\", expect_size=\"50104320\"] \n  9 -> 18 [size =\"50104320\"]\n  9 -> 20 [size =\"50104320\"]\n  10 [size=\"47874048\", alpha=\"0.10\", expect_size=\"23937024\"] \n  10 -> 19 [size =\"23937024\"]\n  11 [size=\"101828608\", alpha=\"0.16\", expect_size=\"50914304\"] \n  12 [size=\"97511424\", alpha=\"0.20\", expect_size=\"48755712\"] \n  12 -> 17 [size =\"48755712\"]\n  12 -> 19 [size =\"48755712\"]\n  13 [size=\"56930304\", alpha=\"0.04\", expect_size=\"28465152\"] \n  13 -> 19 [size =\"28465152\"]\n  14 [size=\"20692992\", alpha=\"0.10\", expect_size=\"10346496\"] \n  14 -> 18 [size =\"10346496\"]\n  14 -> 20 [size =\"10346496\"]\n  15 [size=\"101216256\", alpha=\"0.04\", expect_size=\"50608128\"] \n  15 -> 20 [size =\"50608128\"]\n  16 [size=\"50284544\", alpha=\"0.03\", expect_size=\"25142272\"] \n  16 -> 20 [size =\"25142272\"]\n  17 [size=\"67530752\", alpha=\"0.17\", expect_size=\"33765376\"] \n  18 [size=\"49661952\", alpha=\"0.15\", expect_size=\"24830976\"] \n  19 [size=\"76204032\", alpha=\"0.19\", expect_size=\"38102016\"] \n  20 [size=\"31791104\", alpha=\"0.08\", expect_size=\"15895552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102819840\", alpha=\"0.12\", expect_size=\"51409920\"] \n  1 -> 17 [size =\"51409920\"]\n  1 -> 19 [size =\"51409920\"]\n  2 [size=\"21377024\", alpha=\"0.02\", expect_size=\"10688512\"] \n  2 -> 17 [size =\"10688512\"]\n  2 -> 18 [size =\"10688512\"]\n  2 -> 19 [size =\"10688512\"]\n  3 [size=\"103438336\", alpha=\"0.04\", expect_size=\"51719168\"] \n  3 -> 17 [size =\"51719168\"]\n  3 -> 20 [size =\"51719168\"]\n  4 [size=\"67112960\", alpha=\"0.20\", expect_size=\"33556480\"] \n  5 [size=\"88449024\", alpha=\"0.05\", expect_size=\"44224512\"] \n  5 -> 17 [size =\"44224512\"]\n  5 -> 18 [size =\"44224512\"]\n  6 [size=\"34150400\", alpha=\"0.19\", expect_size=\"17075200\"] \n  7 [size=\"95129600\", alpha=\"0.05\", expect_size=\"47564800\"] \n  7 -> 17 [size =\"47564800\"]\n  7 -> 19 [size =\"47564800\"]\n  8 [size=\"50147328\", alpha=\"0.07\", expect_size=\"25073664\"] \n  8 -> 19 [size =\"25073664\"]\n  9 [size=\"95954944\", alpha=\"0.19\", expect_size=\"47977472\"] \n  9 -> 17 [size =\"47977472\"]\n  9 -> 19 [size =\"47977472\"]\n  10 [size=\"54315008\", alpha=\"0.16\", expect_size=\"27157504\"] \n  10 -> 20 [size =\"27157504\"]\n  11 [size=\"72435712\", alpha=\"0.20\", expect_size=\"36217856\"] \n  11 -> 17 [size =\"36217856\"]\n  12 [size=\"34906112\", alpha=\"0.13\", expect_size=\"17453056\"] \n  12 -> 19 [size =\"17453056\"]\n  13 [size=\"42393600\", alpha=\"0.01\", expect_size=\"21196800\"] \n  13 -> 17 [size =\"21196800\"]\n  13 -> 19 [size =\"21196800\"]\n  14 [size=\"62619648\", alpha=\"0.03\", expect_size=\"31309824\"] \n  15 [size=\"60592128\", alpha=\"0.14\", expect_size=\"30296064\"] \n  15 -> 17 [size =\"30296064\"]\n  16 [size=\"81907712\", alpha=\"0.05\", expect_size=\"40953856\"] \n  16 -> 17 [size =\"40953856\"]\n  16 -> 18 [size =\"40953856\"]\n  16 -> 20 [size =\"40953856\"]\n  17 [size=\"77510656\", alpha=\"0.00\", expect_size=\"38755328\"] \n  18 [size=\"101404672\", alpha=\"0.06\", expect_size=\"50702336\"] \n  19 [size=\"41359360\", alpha=\"0.16\", expect_size=\"20679680\"] \n  20 [size=\"37386240\", alpha=\"0.11\", expect_size=\"18693120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102574080\", alpha=\"0.03\", expect_size=\"30772224\"] \n  1 -> 2 [size =\"30772224\"]\n  2 [size=\"42898773\", alpha=\"0.06\", expect_size=\"12869632\"] \n  2 -> 3 [size =\"12869632\"]\n  3 [size=\"147063467\", alpha=\"0.03\", expect_size=\"44119040\"] \n  3 -> 4 [size =\"44119040\"]\n  4 [size=\"110315520\", alpha=\"0.13\", expect_size=\"33094656\"] \n  4 -> 5 [size =\"33094656\"]\n  5 [size=\"34402987\", alpha=\"0.01\", expect_size=\"10320896\"] \n  5 -> 6 [size =\"10320896\"]\n  6 [size=\"29583360\", alpha=\"0.08\", expect_size=\"8875008\"] \n  6 -> 7 [size =\"8875008\"]\n  7 [size=\"134656000\", alpha=\"0.19\", expect_size=\"40396800\"] \n  7 -> 8 [size =\"40396800\"]\n  8 [size=\"92436480\", alpha=\"0.08\", expect_size=\"27730944\"] \n  8 -> 9 [size =\"27730944\"]\n  9 [size=\"26361173\", alpha=\"0.07\", expect_size=\"7908352\"] \n  9 -> 10 [size =\"7908352\"]\n  10 [size=\"39953067\", alpha=\"0.05\", expect_size=\"11985920\"] \n  10 -> 11 [size =\"11985920\"]\n  11 [size=\"83022507\", alpha=\"0.03\", expect_size=\"24906752\"] \n  11 -> 12 [size =\"24906752\"]\n  12 [size=\"107380053\", alpha=\"0.07\", expect_size=\"32214016\"] \n  12 -> 13 [size =\"32214016\"]\n  13 [size=\"157330773\", alpha=\"0.06\", expect_size=\"47199232\"] \n  13 -> 14 [size =\"47199232\"]\n  14 [size=\"21633707\", alpha=\"0.15\", expect_size=\"6490112\"] \n  14 -> 15 [size =\"6490112\"]\n  15 [size=\"127569920\", alpha=\"0.06\", expect_size=\"38270976\"] \n  15 -> 16 [size =\"38270976\"]\n  16 [size=\"132775253\", alpha=\"0.08\", expect_size=\"39832576\"] \n  16 -> 17 [size =\"39832576\"]\n  17 [size=\"41205760\", alpha=\"0.12\", expect_size=\"12361728\"] \n  17 -> 18 [size =\"12361728\"]\n  18 [size=\"35481600\", alpha=\"0.14\", expect_size=\"10644480\"] \n  18 -> 19 [size =\"10644480\"]\n  19 [size=\"97273173\", alpha=\"0.03\", expect_size=\"29181952\"] \n  19 -> 20 [size =\"29181952\"]\n  20 [size=\"150196907\", alpha=\"0.07\", expect_size=\"45059072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43727360\", alpha=\"0.05\", expect_size=\"17490944\"] \n  1 -> 2 [size =\"17490944\"]\n  2 [size=\"45777920\", alpha=\"0.05\", expect_size=\"18311168\"] \n  2 -> 3 [size =\"18311168\"]\n  3 [size=\"125862400\", alpha=\"0.19\", expect_size=\"50344960\"] \n  3 -> 4 [size =\"50344960\"]\n  4 [size=\"76262400\", alpha=\"0.11\", expect_size=\"30504960\"] \n  4 -> 5 [size =\"30504960\"]\n  5 [size=\"47705600\", alpha=\"0.07\", expect_size=\"19082240\"] \n  5 -> 6 [size =\"19082240\"]\n  6 [size=\"20948480\", alpha=\"0.17\", expect_size=\"8379392\"] \n  6 -> 7 [size =\"8379392\"]\n  7 [size=\"86474240\", alpha=\"0.13\", expect_size=\"34589696\"] \n  7 -> 8 [size =\"34589696\"]\n  8 [size=\"58519040\", alpha=\"0.06\", expect_size=\"23407616\"] \n  8 -> 9 [size =\"23407616\"]\n  9 [size=\"27752960\", alpha=\"0.12\", expect_size=\"11101184\"] \n  9 -> 10 [size =\"11101184\"]\n  10 [size=\"102814720\", alpha=\"0.12\", expect_size=\"41125888\"] \n  10 -> 11 [size =\"41125888\"]\n  11 [size=\"16204800\", alpha=\"0.18\", expect_size=\"6481920\"] \n  11 -> 12 [size =\"6481920\"]\n  12 [size=\"48220160\", alpha=\"0.07\", expect_size=\"19288064\"] \n  12 -> 13 [size =\"19288064\"]\n  13 [size=\"79544320\", alpha=\"0.17\", expect_size=\"31817728\"] \n  13 -> 14 [size =\"31817728\"]\n  14 [size=\"70950400\", alpha=\"0.13\", expect_size=\"28380160\"] \n  14 -> 15 [size =\"28380160\"]\n  15 [size=\"16814080\", alpha=\"0.09\", expect_size=\"6725632\"] \n  15 -> 16 [size =\"6725632\"]\n  16 [size=\"59745280\", alpha=\"0.10\", expect_size=\"23898112\"] \n  16 -> 17 [size =\"23898112\"]\n  17 [size=\"40296960\", alpha=\"0.11\", expect_size=\"16118784\"] \n  17 -> 18 [size =\"16118784\"]\n  18 [size=\"115650560\", alpha=\"0.10\", expect_size=\"46260224\"] \n  18 -> 19 [size =\"46260224\"]\n  19 [size=\"30284800\", alpha=\"0.15\", expect_size=\"12113920\"] \n  19 -> 20 [size =\"12113920\"]\n  20 [size=\"101511680\", alpha=\"0.11\", expect_size=\"40604672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67348480\", alpha=\"0.03\", expect_size=\"26939392\"] \n  1 -> 12 [size =\"26939392\"]\n  1 -> 15 [size =\"26939392\"]\n  1 -> 16 [size =\"26939392\"]\n  1 -> 17 [size =\"26939392\"]\n  1 -> 18 [size =\"26939392\"]\n  2 [size=\"94407680\", alpha=\"0.12\", expect_size=\"37763072\"] \n  2 -> 12 [size =\"37763072\"]\n  2 -> 14 [size =\"37763072\"]\n  2 -> 18 [size =\"37763072\"]\n  3 [size=\"127301120\", alpha=\"0.15\", expect_size=\"50920448\"] \n  3 -> 12 [size =\"50920448\"]\n  4 [size=\"123292160\", alpha=\"0.05\", expect_size=\"49316864\"] \n  4 -> 13 [size =\"49316864\"]\n  4 -> 14 [size =\"49316864\"]\n  4 -> 16 [size =\"49316864\"]\n  5 [size=\"41318400\", alpha=\"0.12\", expect_size=\"16527360\"] \n  5 -> 13 [size =\"16527360\"]\n  5 -> 14 [size =\"16527360\"]\n  5 -> 15 [size =\"16527360\"]\n  5 -> 18 [size =\"16527360\"]\n  6 [size=\"116902400\", alpha=\"0.18\", expect_size=\"46760960\"] \n  6 -> 13 [size =\"46760960\"]\n  6 -> 14 [size =\"46760960\"]\n  6 -> 16 [size =\"46760960\"]\n  7 [size=\"61268480\", alpha=\"0.00\", expect_size=\"24507392\"] \n  7 -> 12 [size =\"24507392\"]\n  7 -> 13 [size =\"24507392\"]\n  7 -> 16 [size =\"24507392\"]\n  7 -> 18 [size =\"24507392\"]\n  8 [size=\"55884800\", alpha=\"0.07\", expect_size=\"22353920\"] \n  8 -> 12 [size =\"22353920\"]\n  8 -> 13 [size =\"22353920\"]\n  8 -> 16 [size =\"22353920\"]\n  9 [size=\"58321920\", alpha=\"0.13\", expect_size=\"23328768\"] \n  9 -> 13 [size =\"23328768\"]\n  9 -> 14 [size =\"23328768\"]\n  9 -> 16 [size =\"23328768\"]\n  9 -> 18 [size =\"23328768\"]\n  9 -> 19 [size =\"23328768\"]\n  10 [size=\"16601600\", alpha=\"0.14\", expect_size=\"6640640\"] \n  10 -> 14 [size =\"6640640\"]\n  10 -> 16 [size =\"6640640\"]\n  10 -> 18 [size =\"6640640\"]\n  11 [size=\"86517760\", alpha=\"0.07\", expect_size=\"34607104\"] \n  11 -> 12 [size =\"34607104\"]\n  11 -> 13 [size =\"34607104\"]\n  11 -> 14 [size =\"34607104\"]\n  11 -> 18 [size =\"34607104\"]\n  11 -> 19 [size =\"34607104\"]\n  12 [size=\"104919040\", alpha=\"0.10\", expect_size=\"41967616\"] \n  12 -> 20 [size =\"41967616\"]\n  13 [size=\"59755520\", alpha=\"0.06\", expect_size=\"23902208\"] \n  14 [size=\"27412480\", alpha=\"0.02\", expect_size=\"10964992\"] \n  14 -> 20 [size =\"10964992\"]\n  15 [size=\"57899520\", alpha=\"0.02\", expect_size=\"23159808\"] \n  16 [size=\"127508480\", alpha=\"0.14\", expect_size=\"51003392\"] \n  16 -> 20 [size =\"51003392\"]\n  17 [size=\"114649600\", alpha=\"0.07\", expect_size=\"45859840\"] \n  18 [size=\"115072000\", alpha=\"0.01\", expect_size=\"46028800\"] \n  19 [size=\"39226880\", alpha=\"0.13\", expect_size=\"15690752\"] \n  20 [size=\"114918400\", alpha=\"0.12\", expect_size=\"45967360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146496853\", alpha=\"0.02\", expect_size=\"43949056\"] \n  1 -> 12 [size =\"43949056\"]\n  1 -> 15 [size =\"43949056\"]\n  2 [size=\"51524267\", alpha=\"0.04\", expect_size=\"15457280\"] \n  2 -> 12 [size =\"15457280\"]\n  2 -> 15 [size =\"15457280\"]\n  3 [size=\"130184533\", alpha=\"0.15\", expect_size=\"39055360\"] \n  3 -> 11 [size =\"39055360\"]\n  3 -> 12 [size =\"39055360\"]\n  4 [size=\"145909760\", alpha=\"0.14\", expect_size=\"43772928\"] \n  4 -> 14 [size =\"43772928\"]\n  4 -> 15 [size =\"43772928\"]\n  5 [size=\"60354560\", alpha=\"0.13\", expect_size=\"18106368\"] \n  5 -> 11 [size =\"18106368\"]\n  5 -> 13 [size =\"18106368\"]\n  5 -> 15 [size =\"18106368\"]\n  6 [size=\"29812053\", alpha=\"0.11\", expect_size=\"8943616\"] \n  6 -> 11 [size =\"8943616\"]\n  6 -> 13 [size =\"8943616\"]\n  6 -> 15 [size =\"8943616\"]\n  7 [size=\"136983893\", alpha=\"0.18\", expect_size=\"41095168\"] \n  7 -> 11 [size =\"41095168\"]\n  7 -> 12 [size =\"41095168\"]\n  8 [size=\"31836160\", alpha=\"0.07\", expect_size=\"9550848\"] \n  9 [size=\"26170027\", alpha=\"0.07\", expect_size=\"7851008\"] \n  10 [size=\"79445333\", alpha=\"0.11\", expect_size=\"23833600\"] \n  10 -> 11 [size =\"23833600\"]\n  10 -> 15 [size =\"23833600\"]\n  11 [size=\"123054080\", alpha=\"0.11\", expect_size=\"36916224\"] \n  11 -> 16 [size =\"36916224\"]\n  11 -> 19 [size =\"36916224\"]\n  12 [size=\"135103147\", alpha=\"0.05\", expect_size=\"40530944\"] \n  12 -> 18 [size =\"40530944\"]\n  12 -> 20 [size =\"40530944\"]\n  13 [size=\"166843733\", alpha=\"0.09\", expect_size=\"50053120\"] \n  14 [size=\"124538880\", alpha=\"0.01\", expect_size=\"37361664\"] \n  14 -> 20 [size =\"37361664\"]\n  15 [size=\"77725013\", alpha=\"0.03\", expect_size=\"23317504\"] \n  15 -> 17 [size =\"23317504\"]\n  15 -> 18 [size =\"23317504\"]\n  15 -> 20 [size =\"23317504\"]\n  16 [size=\"23842133\", alpha=\"0.18\", expect_size=\"7152640\"] \n  17 [size=\"106711040\", alpha=\"0.12\", expect_size=\"32013312\"] \n  18 [size=\"92238507\", alpha=\"0.18\", expect_size=\"27671552\"] \n  19 [size=\"147568640\", alpha=\"0.20\", expect_size=\"44270592\"] \n  20 [size=\"43905707\", alpha=\"0.17\", expect_size=\"13171712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56709120\", alpha=\"0.07\", expect_size=\"17012736\"] \n  1 -> 2 [size =\"17012736\"]\n  1 -> 3 [size =\"17012736\"]\n  2 [size=\"116247893\", alpha=\"0.18\", expect_size=\"34874368\"] \n  2 -> 4 [size =\"34874368\"]\n  3 [size=\"103499093\", alpha=\"0.12\", expect_size=\"31049728\"] \n  3 -> 4 [size =\"31049728\"]\n  4 [size=\"136874667\", alpha=\"0.04\", expect_size=\"41062400\"] \n  4 -> 5 [size =\"41062400\"]\n  4 -> 6 [size =\"41062400\"]\n  5 [size=\"142100480\", alpha=\"0.06\", expect_size=\"42630144\"] \n  5 -> 7 [size =\"42630144\"]\n  6 [size=\"62760960\", alpha=\"0.07\", expect_size=\"18828288\"] \n  6 -> 7 [size =\"18828288\"]\n  7 [size=\"48585387\", alpha=\"0.19\", expect_size=\"14575616\"] \n  7 -> 8 [size =\"14575616\"]\n  7 -> 9 [size =\"14575616\"]\n  8 [size=\"49984853\", alpha=\"0.07\", expect_size=\"14995456\"] \n  9 [size=\"86958080\", alpha=\"0.20\", expect_size=\"26087424\"] \n  9 -> 10 [size =\"26087424\"]\n  10 [size=\"134188373\", alpha=\"0.05\", expect_size=\"40256512\"] \n  10 -> 11 [size =\"40256512\"]\n  11 [size=\"125617493\", alpha=\"0.08\", expect_size=\"37685248\"] \n  11 -> 12 [size =\"37685248\"]\n  11 -> 13 [size =\"37685248\"]\n  12 [size=\"25241600\", alpha=\"0.13\", expect_size=\"7572480\"] \n  12 -> 14 [size =\"7572480\"]\n  12 -> 15 [size =\"7572480\"]\n  13 [size=\"168683520\", alpha=\"0.04\", expect_size=\"50605056\"] \n  13 -> 14 [size =\"50605056\"]\n  13 -> 15 [size =\"50605056\"]\n  14 [size=\"102809600\", alpha=\"0.01\", expect_size=\"30842880\"] \n  14 -> 16 [size =\"30842880\"]\n  15 [size=\"131259733\", alpha=\"0.16\", expect_size=\"39377920\"] \n  16 [size=\"20333227\", alpha=\"0.12\", expect_size=\"6099968\"] \n  16 -> 17 [size =\"6099968\"]\n  16 -> 18 [size =\"6099968\"]\n  17 [size=\"74024960\", alpha=\"0.11\", expect_size=\"22207488\"] \n  17 -> 19 [size =\"22207488\"]\n  18 [size=\"65146880\", alpha=\"0.03\", expect_size=\"19544064\"] \n  19 [size=\"121364480\", alpha=\"0.09\", expect_size=\"36409344\"] \n  19 -> 20 [size =\"36409344\"]\n  20 [size=\"121064107\", alpha=\"0.07\", expect_size=\"36319232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100884480\", alpha=\"0.11\", expect_size=\"40353792\"] \n  1 -> 9 [size =\"40353792\"]\n  1 -> 11 [size =\"40353792\"]\n  1 -> 13 [size =\"40353792\"]\n  2 [size=\"29383680\", alpha=\"0.07\", expect_size=\"11753472\"] \n  2 -> 9 [size =\"11753472\"]\n  2 -> 10 [size =\"11753472\"]\n  2 -> 11 [size =\"11753472\"]\n  2 -> 12 [size =\"11753472\"]\n  2 -> 13 [size =\"11753472\"]\n  2 -> 14 [size =\"11753472\"]\n  3 [size=\"49968640\", alpha=\"0.18\", expect_size=\"19987456\"] \n  3 -> 12 [size =\"19987456\"]\n  3 -> 15 [size =\"19987456\"]\n  4 [size=\"77555200\", alpha=\"0.05\", expect_size=\"31022080\"] \n  4 -> 11 [size =\"31022080\"]\n  4 -> 12 [size =\"31022080\"]\n  4 -> 15 [size =\"31022080\"]\n  5 [size=\"23285760\", alpha=\"0.13\", expect_size=\"9314304\"] \n  5 -> 11 [size =\"9314304\"]\n  5 -> 12 [size =\"9314304\"]\n  5 -> 13 [size =\"9314304\"]\n  5 -> 14 [size =\"9314304\"]\n  6 [size=\"91366400\", alpha=\"0.04\", expect_size=\"36546560\"] \n  6 -> 9 [size =\"36546560\"]\n  6 -> 12 [size =\"36546560\"]\n  6 -> 13 [size =\"36546560\"]\n  7 [size=\"88401920\", alpha=\"0.10\", expect_size=\"35360768\"] \n  7 -> 9 [size =\"35360768\"]\n  7 -> 13 [size =\"35360768\"]\n  7 -> 15 [size =\"35360768\"]\n  8 [size=\"107125760\", alpha=\"0.04\", expect_size=\"42850304\"] \n  8 -> 11 [size =\"42850304\"]\n  8 -> 15 [size =\"42850304\"]\n  9 [size=\"93882880\", alpha=\"0.08\", expect_size=\"37553152\"] \n  9 -> 16 [size =\"37553152\"]\n  9 -> 19 [size =\"37553152\"]\n  9 -> 20 [size =\"37553152\"]\n  10 [size=\"74124800\", alpha=\"0.13\", expect_size=\"29649920\"] \n  10 -> 19 [size =\"29649920\"]\n  10 -> 20 [size =\"29649920\"]\n  11 [size=\"110461440\", alpha=\"0.11\", expect_size=\"44184576\"] \n  11 -> 16 [size =\"44184576\"]\n  11 -> 19 [size =\"44184576\"]\n  12 [size=\"56783360\", alpha=\"0.17\", expect_size=\"22713344\"] \n  12 -> 16 [size =\"22713344\"]\n  13 [size=\"97587200\", alpha=\"0.04\", expect_size=\"39034880\"] \n  13 -> 16 [size =\"39034880\"]\n  13 -> 17 [size =\"39034880\"]\n  14 [size=\"83612160\", alpha=\"0.15\", expect_size=\"33444864\"] \n  14 -> 16 [size =\"33444864\"]\n  14 -> 17 [size =\"33444864\"]\n  15 [size=\"111275520\", alpha=\"0.19\", expect_size=\"44510208\"] \n  15 -> 17 [size =\"44510208\"]\n  15 -> 18 [size =\"44510208\"]\n  15 -> 19 [size =\"44510208\"]\n  16 [size=\"70999040\", alpha=\"0.14\", expect_size=\"28399616\"] \n  17 [size=\"93882880\", alpha=\"0.14\", expect_size=\"37553152\"] \n  18 [size=\"35371520\", alpha=\"0.17\", expect_size=\"14148608\"] \n  19 [size=\"60720640\", alpha=\"0.16\", expect_size=\"24288256\"] \n  20 [size=\"110154240\", alpha=\"0.11\", expect_size=\"44061696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130396160\", alpha=\"0.14\", expect_size=\"39118848\"] \n  2 [size=\"50442240\", alpha=\"0.04\", expect_size=\"15132672\"] \n  2 -> 20 [size =\"15132672\"]\n  3 [size=\"137772373\", alpha=\"0.07\", expect_size=\"41331712\"] \n  4 [size=\"154316800\", alpha=\"0.14\", expect_size=\"46295040\"] \n  4 -> 20 [size =\"46295040\"]\n  5 [size=\"129549653\", alpha=\"0.16\", expect_size=\"38864896\"] \n  5 -> 19 [size =\"38864896\"]\n  5 -> 20 [size =\"38864896\"]\n  6 [size=\"167714133\", alpha=\"0.15\", expect_size=\"50314240\"] \n  6 -> 20 [size =\"50314240\"]\n  7 [size=\"82841600\", alpha=\"0.12\", expect_size=\"24852480\"] \n  8 [size=\"115442347\", alpha=\"0.12\", expect_size=\"34632704\"] \n  8 -> 20 [size =\"34632704\"]\n  9 [size=\"151316480\", alpha=\"0.06\", expect_size=\"45394944\"] \n  9 -> 19 [size =\"45394944\"]\n  10 [size=\"154146133\", alpha=\"0.02\", expect_size=\"46243840\"] \n  10 -> 20 [size =\"46243840\"]\n  11 [size=\"72031573\", alpha=\"0.07\", expect_size=\"21609472\"] \n  11 -> 20 [size =\"21609472\"]\n  12 [size=\"22094507\", alpha=\"0.11\", expect_size=\"6628352\"] \n  12 -> 20 [size =\"6628352\"]\n  13 [size=\"55859200\", alpha=\"0.13\", expect_size=\"16757760\"] \n  13 -> 20 [size =\"16757760\"]\n  14 [size=\"111445333\", alpha=\"0.18\", expect_size=\"33433600\"] \n  14 -> 19 [size =\"33433600\"]\n  14 -> 20 [size =\"33433600\"]\n  15 [size=\"66116267\", alpha=\"0.17\", expect_size=\"19834880\"] \n  15 -> 20 [size =\"19834880\"]\n  16 [size=\"31412907\", alpha=\"0.12\", expect_size=\"9423872\"] \n  17 [size=\"146749440\", alpha=\"0.04\", expect_size=\"44024832\"] \n  18 [size=\"85493760\", alpha=\"0.04\", expect_size=\"25648128\"] \n  19 [size=\"22029653\", alpha=\"0.19\", expect_size=\"6608896\"] \n  20 [size=\"66245973\", alpha=\"0.17\", expect_size=\"19873792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19998720\", alpha=\"0.10\", expect_size=\"7999488\"] \n  1 -> 2 [size =\"7999488\"]\n  2 [size=\"55892480\", alpha=\"0.11\", expect_size=\"22356992\"] \n  2 -> 3 [size =\"22356992\"]\n  3 [size=\"44651520\", alpha=\"0.09\", expect_size=\"17860608\"] \n  3 -> 4 [size =\"17860608\"]\n  4 [size=\"71229440\", alpha=\"0.10\", expect_size=\"28491776\"] \n  4 -> 5 [size =\"28491776\"]\n  5 [size=\"47987200\", alpha=\"0.17\", expect_size=\"19194880\"] \n  5 -> 6 [size =\"19194880\"]\n  6 [size=\"53790720\", alpha=\"0.16\", expect_size=\"21516288\"] \n  6 -> 7 [size =\"21516288\"]\n  7 [size=\"89530880\", alpha=\"0.01\", expect_size=\"35812352\"] \n  7 -> 8 [size =\"35812352\"]\n  8 [size=\"74214400\", alpha=\"0.12\", expect_size=\"29685760\"] \n  8 -> 9 [size =\"29685760\"]\n  9 [size=\"52116480\", alpha=\"0.10\", expect_size=\"20846592\"] \n  9 -> 10 [size =\"20846592\"]\n  10 [size=\"68549120\", alpha=\"0.13\", expect_size=\"27419648\"] \n  10 -> 11 [size =\"27419648\"]\n  11 [size=\"15820800\", alpha=\"0.06\", expect_size=\"6328320\"] \n  11 -> 12 [size =\"6328320\"]\n  12 [size=\"76144640\", alpha=\"0.05\", expect_size=\"30457856\"] \n  12 -> 13 [size =\"30457856\"]\n  13 [size=\"22988800\", alpha=\"0.19\", expect_size=\"9195520\"] \n  13 -> 14 [size =\"9195520\"]\n  14 [size=\"77168640\", alpha=\"0.01\", expect_size=\"30867456\"] \n  14 -> 15 [size =\"30867456\"]\n  15 [size=\"20377600\", alpha=\"0.10\", expect_size=\"8151040\"] \n  15 -> 16 [size =\"8151040\"]\n  16 [size=\"122572800\", alpha=\"0.11\", expect_size=\"49029120\"] \n  16 -> 17 [size =\"49029120\"]\n  17 [size=\"100523520\", alpha=\"0.10\", expect_size=\"40209408\"] \n  17 -> 18 [size =\"40209408\"]\n  18 [size=\"106810880\", alpha=\"0.03\", expect_size=\"42724352\"] \n  18 -> 19 [size =\"42724352\"]\n  19 [size=\"60958720\", alpha=\"0.10\", expect_size=\"24383488\"] \n  19 -> 20 [size =\"24383488\"]\n  20 [size=\"120145920\", alpha=\"0.07\", expect_size=\"48058368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85032960\", alpha=\"0.18\", expect_size=\"25509888\"] \n  1 -> 11 [size =\"25509888\"]\n  1 -> 13 [size =\"25509888\"]\n  1 -> 16 [size =\"25509888\"]\n  1 -> 17 [size =\"25509888\"]\n  2 [size=\"110953813\", alpha=\"0.08\", expect_size=\"33286144\"] \n  2 -> 11 [size =\"33286144\"]\n  2 -> 12 [size =\"33286144\"]\n  2 -> 13 [size =\"33286144\"]\n  2 -> 14 [size =\"33286144\"]\n  2 -> 15 [size =\"33286144\"]\n  2 -> 16 [size =\"33286144\"]\n  2 -> 17 [size =\"33286144\"]\n  2 -> 18 [size =\"33286144\"]\n  2 -> 20 [size =\"33286144\"]\n  3 [size=\"94344533\", alpha=\"0.18\", expect_size=\"28303360\"] \n  3 -> 11 [size =\"28303360\"]\n  3 -> 13 [size =\"28303360\"]\n  3 -> 15 [size =\"28303360\"]\n  3 -> 16 [size =\"28303360\"]\n  3 -> 18 [size =\"28303360\"]\n  3 -> 20 [size =\"28303360\"]\n  4 [size=\"99283627\", alpha=\"0.08\", expect_size=\"29785088\"] \n  4 -> 11 [size =\"29785088\"]\n  4 -> 15 [size =\"29785088\"]\n  4 -> 15 [size =\"29785088\"]\n  4 -> 16 [size =\"29785088\"]\n  4 -> 18 [size =\"29785088\"]\n  4 -> 20 [size =\"29785088\"]\n  5 [size=\"124770987\", alpha=\"0.10\", expect_size=\"37431296\"] \n  5 -> 11 [size =\"37431296\"]\n  5 -> 12 [size =\"37431296\"]\n  5 -> 13 [size =\"37431296\"]\n  5 -> 15 [size =\"37431296\"]\n  5 -> 18 [size =\"37431296\"]\n  5 -> 19 [size =\"37431296\"]\n  6 [size=\"20026027\", alpha=\"0.18\", expect_size=\"6007808\"] \n  6 -> 11 [size =\"6007808\"]\n  6 -> 13 [size =\"6007808\"]\n  6 -> 15 [size =\"6007808\"]\n  6 -> 17 [size =\"6007808\"]\n  7 [size=\"129122987\", alpha=\"0.18\", expect_size=\"38736896\"] \n  7 -> 12 [size =\"38736896\"]\n  7 -> 13 [size =\"38736896\"]\n  7 -> 15 [size =\"38736896\"]\n  7 -> 17 [size =\"38736896\"]\n  7 -> 18 [size =\"38736896\"]\n  8 [size=\"113889280\", alpha=\"0.10\", expect_size=\"34166784\"] \n  8 -> 11 [size =\"34166784\"]\n  8 -> 12 [size =\"34166784\"]\n  8 -> 16 [size =\"34166784\"]\n  9 [size=\"127027200\", alpha=\"0.03\", expect_size=\"38108160\"] \n  9 -> 11 [size =\"38108160\"]\n  9 -> 15 [size =\"38108160\"]\n  9 -> 18 [size =\"38108160\"]\n  10 [size=\"38184960\", alpha=\"0.08\", expect_size=\"11455488\"] \n  10 -> 11 [size =\"11455488\"]\n  10 -> 13 [size =\"11455488\"]\n  10 -> 15 [size =\"11455488\"]\n  10 -> 16 [size =\"11455488\"]\n  10 -> 18 [size =\"11455488\"]\n  11 [size=\"137427627\", alpha=\"0.08\", expect_size=\"41228288\"] \n  12 [size=\"124719787\", alpha=\"0.02\", expect_size=\"37415936\"] \n  13 [size=\"29576533\", alpha=\"0.10\", expect_size=\"8872960\"] \n  14 [size=\"169755307\", alpha=\"0.07\", expect_size=\"50926592\"] \n  15 [size=\"78277973\", alpha=\"0.13\", expect_size=\"23483392\"] \n  16 [size=\"157651627\", alpha=\"0.14\", expect_size=\"47295488\"] \n  17 [size=\"138571093\", alpha=\"0.19\", expect_size=\"41571328\"] \n  18 [size=\"125808640\", alpha=\"0.07\", expect_size=\"37742592\"] \n  19 [size=\"48663893\", alpha=\"0.09\", expect_size=\"14599168\"] \n  20 [size=\"71543467\", alpha=\"0.16\", expect_size=\"21463040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36775253\", alpha=\"0.01\", expect_size=\"11032576\"] \n  1 -> 8 [size =\"11032576\"]\n  1 -> 14 [size =\"11032576\"]\n  2 [size=\"77953707\", alpha=\"0.02\", expect_size=\"23386112\"] \n  2 -> 8 [size =\"23386112\"]\n  2 -> 9 [size =\"23386112\"]\n  2 -> 10 [size =\"23386112\"]\n  2 -> 14 [size =\"23386112\"]\n  2 -> 15 [size =\"23386112\"]\n  3 [size=\"28726613\", alpha=\"0.17\", expect_size=\"8617984\"] \n  3 -> 9 [size =\"8617984\"]\n  3 -> 11 [size =\"8617984\"]\n  3 -> 12 [size =\"8617984\"]\n  3 -> 14 [size =\"8617984\"]\n  4 [size=\"120463360\", alpha=\"0.03\", expect_size=\"36139008\"] \n  4 -> 8 [size =\"36139008\"]\n  4 -> 12 [size =\"36139008\"]\n  5 [size=\"130611200\", alpha=\"0.11\", expect_size=\"39183360\"] \n  5 -> 8 [size =\"39183360\"]\n  5 -> 10 [size =\"39183360\"]\n  6 [size=\"158808747\", alpha=\"0.17\", expect_size=\"47642624\"] \n  6 -> 9 [size =\"47642624\"]\n  6 -> 14 [size =\"47642624\"]\n  6 -> 15 [size =\"47642624\"]\n  7 [size=\"76038827\", alpha=\"0.07\", expect_size=\"22811648\"] \n  7 -> 8 [size =\"22811648\"]\n  7 -> 11 [size =\"22811648\"]\n  7 -> 13 [size =\"22811648\"]\n  8 [size=\"73932800\", alpha=\"0.12\", expect_size=\"22179840\"] \n  8 -> 17 [size =\"22179840\"]\n  8 -> 20 [size =\"22179840\"]\n  9 [size=\"165195093\", alpha=\"0.05\", expect_size=\"49558528\"] \n  9 -> 16 [size =\"49558528\"]\n  9 -> 17 [size =\"49558528\"]\n  10 [size=\"26193920\", alpha=\"0.04\", expect_size=\"7858176\"] \n  10 -> 19 [size =\"7858176\"]\n  11 [size=\"30958933\", alpha=\"0.19\", expect_size=\"9287680\"] \n  11 -> 19 [size =\"9287680\"]\n  12 [size=\"35741013\", alpha=\"0.19\", expect_size=\"10722304\"] \n  12 -> 17 [size =\"10722304\"]\n  12 -> 18 [size =\"10722304\"]\n  12 -> 19 [size =\"10722304\"]\n  12 -> 20 [size =\"10722304\"]\n  13 [size=\"50350080\", alpha=\"0.17\", expect_size=\"15105024\"] \n  13 -> 19 [size =\"15105024\"]\n  14 [size=\"24477013\", alpha=\"0.17\", expect_size=\"7343104\"] \n  14 -> 16 [size =\"7343104\"]\n  14 -> 17 [size =\"7343104\"]\n  14 -> 19 [size =\"7343104\"]\n  15 [size=\"48861867\", alpha=\"0.14\", expect_size=\"14658560\"] \n  15 -> 16 [size =\"14658560\"]\n  15 -> 17 [size =\"14658560\"]\n  15 -> 18 [size =\"14658560\"]\n  15 -> 19 [size =\"14658560\"]\n  16 [size=\"132546560\", alpha=\"0.18\", expect_size=\"39763968\"] \n  17 [size=\"107226453\", alpha=\"0.04\", expect_size=\"32167936\"] \n  18 [size=\"160109227\", alpha=\"0.03\", expect_size=\"48032768\"] \n  19 [size=\"96081920\", alpha=\"0.19\", expect_size=\"28824576\"] \n  20 [size=\"132447573\", alpha=\"0.05\", expect_size=\"39734272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82501632\", alpha=\"0.19\", expect_size=\"41250816\"] \n  1 -> 7 [size =\"41250816\"]\n  1 -> 11 [size =\"41250816\"]\n  1 -> 13 [size =\"41250816\"]\n  1 -> 14 [size =\"41250816\"]\n  1 -> 15 [size =\"41250816\"]\n  2 [size=\"67735552\", alpha=\"0.14\", expect_size=\"33867776\"] \n  2 -> 6 [size =\"33867776\"]\n  2 -> 8 [size =\"33867776\"]\n  3 [size=\"80402432\", alpha=\"0.03\", expect_size=\"40201216\"] \n  3 -> 7 [size =\"40201216\"]\n  3 -> 9 [size =\"40201216\"]\n  3 -> 12 [size =\"40201216\"]\n  3 -> 14 [size =\"40201216\"]\n  4 [size=\"53630976\", alpha=\"0.03\", expect_size=\"26815488\"] \n  4 -> 10 [size =\"26815488\"]\n  4 -> 12 [size =\"26815488\"]\n  4 -> 13 [size =\"26815488\"]\n  4 -> 14 [size =\"26815488\"]\n  4 -> 15 [size =\"26815488\"]\n  5 [size=\"23515136\", alpha=\"0.11\", expect_size=\"11757568\"] \n  5 -> 7 [size =\"11757568\"]\n  5 -> 10 [size =\"11757568\"]\n  5 -> 11 [size =\"11757568\"]\n  5 -> 12 [size =\"11757568\"]\n  5 -> 15 [size =\"11757568\"]\n  6 [size=\"37304320\", alpha=\"0.10\", expect_size=\"18652160\"] \n  7 [size=\"55736320\", alpha=\"0.01\", expect_size=\"27868160\"] \n  7 -> 18 [size =\"27868160\"]\n  8 [size=\"40327168\", alpha=\"0.10\", expect_size=\"20163584\"] \n  8 -> 20 [size =\"20163584\"]\n  9 [size=\"41381888\", alpha=\"0.07\", expect_size=\"20690944\"] \n  9 -> 20 [size =\"20690944\"]\n  10 [size=\"84432896\", alpha=\"0.03\", expect_size=\"42216448\"] \n  11 [size=\"49907712\", alpha=\"0.16\", expect_size=\"24953856\"] \n  11 -> 16 [size =\"24953856\"]\n  11 -> 19 [size =\"24953856\"]\n  12 [size=\"47101952\", alpha=\"0.07\", expect_size=\"23550976\"] \n  12 -> 17 [size =\"23550976\"]\n  12 -> 19 [size =\"23550976\"]\n  13 [size=\"18954240\", alpha=\"0.05\", expect_size=\"9477120\"] \n  13 -> 17 [size =\"9477120\"]\n  13 -> 18 [size =\"9477120\"]\n  13 -> 20 [size =\"9477120\"]\n  14 [size=\"33751040\", alpha=\"0.08\", expect_size=\"16875520\"] \n  14 -> 19 [size =\"16875520\"]\n  15 [size=\"46520320\", alpha=\"0.02\", expect_size=\"23260160\"] \n  15 -> 17 [size =\"23260160\"]\n  15 -> 19 [size =\"23260160\"]\n  16 [size=\"99102720\", alpha=\"0.12\", expect_size=\"49551360\"] \n  17 [size=\"50012160\", alpha=\"0.16\", expect_size=\"25006080\"] \n  18 [size=\"57001984\", alpha=\"0.04\", expect_size=\"28500992\"] \n  19 [size=\"10520576\", alpha=\"0.14\", expect_size=\"5260288\"] \n  20 [size=\"43874304\", alpha=\"0.08\", expect_size=\"21937152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128051200\", alpha=\"0.07\", expect_size=\"38415360\"] \n  1 -> 2 [size =\"38415360\"]\n  2 [size=\"48124587\", alpha=\"0.17\", expect_size=\"14437376\"] \n  2 -> 3 [size =\"14437376\"]\n  3 [size=\"119057067\", alpha=\"0.06\", expect_size=\"35717120\"] \n  3 -> 4 [size =\"35717120\"]\n  4 [size=\"65583787\", alpha=\"0.11\", expect_size=\"19675136\"] \n  4 -> 5 [size =\"19675136\"]\n  5 [size=\"68457813\", alpha=\"0.06\", expect_size=\"20537344\"] \n  5 -> 6 [size =\"20537344\"]\n  6 [size=\"60986027\", alpha=\"0.10\", expect_size=\"18295808\"] \n  6 -> 7 [size =\"18295808\"]\n  7 [size=\"53845333\", alpha=\"0.09\", expect_size=\"16153600\"] \n  7 -> 8 [size =\"16153600\"]\n  8 [size=\"124777813\", alpha=\"0.13\", expect_size=\"37433344\"] \n  8 -> 9 [size =\"37433344\"]\n  9 [size=\"89125547\", alpha=\"0.13\", expect_size=\"26737664\"] \n  9 -> 10 [size =\"26737664\"]\n  10 [size=\"131181227\", alpha=\"0.01\", expect_size=\"39354368\"] \n  10 -> 11 [size =\"39354368\"]\n  11 [size=\"52834987\", alpha=\"0.08\", expect_size=\"15850496\"] \n  11 -> 12 [size =\"15850496\"]\n  12 [size=\"104352427\", alpha=\"0.09\", expect_size=\"31305728\"] \n  12 -> 13 [size =\"31305728\"]\n  13 [size=\"81087147\", alpha=\"0.17\", expect_size=\"24326144\"] \n  13 -> 14 [size =\"24326144\"]\n  14 [size=\"124921173\", alpha=\"0.10\", expect_size=\"37476352\"] \n  14 -> 15 [size =\"37476352\"]\n  15 [size=\"55763627\", alpha=\"0.14\", expect_size=\"16729088\"] \n  15 -> 16 [size =\"16729088\"]\n  16 [size=\"100655787\", alpha=\"0.20\", expect_size=\"30196736\"] \n  16 -> 17 [size =\"30196736\"]\n  17 [size=\"18401280\", alpha=\"0.09\", expect_size=\"5520384\"] \n  17 -> 18 [size =\"5520384\"]\n  18 [size=\"92982613\", alpha=\"0.10\", expect_size=\"27894784\"] \n  18 -> 19 [size =\"27894784\"]\n  19 [size=\"36034560\", alpha=\"0.14\", expect_size=\"10810368\"] \n  19 -> 20 [size =\"10810368\"]\n  20 [size=\"139540480\", alpha=\"0.16\", expect_size=\"41862144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74629120\", alpha=\"0.12\", expect_size=\"22388736\"] \n  1 -> 13 [size =\"22388736\"]\n  1 -> 15 [size =\"22388736\"]\n  1 -> 16 [size =\"22388736\"]\n  1 -> 17 [size =\"22388736\"]\n  2 [size=\"160802133\", alpha=\"0.05\", expect_size=\"48240640\"] \n  2 -> 13 [size =\"48240640\"]\n  2 -> 15 [size =\"48240640\"]\n  3 [size=\"121825280\", alpha=\"0.19\", expect_size=\"36547584\"] \n  3 -> 13 [size =\"36547584\"]\n  4 [size=\"90248533\", alpha=\"0.02\", expect_size=\"27074560\"] \n  4 -> 13 [size =\"27074560\"]\n  4 -> 14 [size =\"27074560\"]\n  5 [size=\"85882880\", alpha=\"0.08\", expect_size=\"25764864\"] \n  5 -> 12 [size =\"25764864\"]\n  6 [size=\"56623787\", alpha=\"0.17\", expect_size=\"16987136\"] \n  6 -> 16 [size =\"16987136\"]\n  7 [size=\"174639787\", alpha=\"0.09\", expect_size=\"52391936\"] \n  7 -> 13 [size =\"52391936\"]\n  7 -> 14 [size =\"52391936\"]\n  7 -> 15 [size =\"52391936\"]\n  7 -> 16 [size =\"52391936\"]\n  8 [size=\"90262187\", alpha=\"0.11\", expect_size=\"27078656\"] \n  8 -> 16 [size =\"27078656\"]\n  9 [size=\"143865173\", alpha=\"0.09\", expect_size=\"43159552\"] \n  9 -> 13 [size =\"43159552\"]\n  9 -> 16 [size =\"43159552\"]\n  10 [size=\"74506240\", alpha=\"0.16\", expect_size=\"22351872\"] \n  10 -> 14 [size =\"22351872\"]\n  11 [size=\"97744213\", alpha=\"0.12\", expect_size=\"29323264\"] \n  11 -> 14 [size =\"29323264\"]\n  11 -> 15 [size =\"29323264\"]\n  12 [size=\"30917973\", alpha=\"0.13\", expect_size=\"9275392\"] \n  13 [size=\"67157333\", alpha=\"0.02\", expect_size=\"20147200\"] \n  13 -> 19 [size =\"20147200\"]\n  14 [size=\"62153387\", alpha=\"0.10\", expect_size=\"18646016\"] \n  14 -> 20 [size =\"18646016\"]\n  15 [size=\"77267627\", alpha=\"0.02\", expect_size=\"23180288\"] \n  15 -> 18 [size =\"23180288\"]\n  15 -> 19 [size =\"23180288\"]\n  16 [size=\"137407147\", alpha=\"0.09\", expect_size=\"41222144\"] \n  16 -> 18 [size =\"41222144\"]\n  16 -> 20 [size =\"41222144\"]\n  17 [size=\"113305600\", alpha=\"0.14\", expect_size=\"33991680\"] \n  17 -> 18 [size =\"33991680\"]\n  17 -> 19 [size =\"33991680\"]\n  17 -> 20 [size =\"33991680\"]\n  18 [size=\"24661333\", alpha=\"0.10\", expect_size=\"7398400\"] \n  19 [size=\"113524053\", alpha=\"0.09\", expect_size=\"34057216\"] \n  20 [size=\"24425813\", alpha=\"0.08\", expect_size=\"7327744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97976320\", alpha=\"0.00\", expect_size=\"29392896\"] \n  2 [size=\"118630400\", alpha=\"0.07\", expect_size=\"35589120\"] \n  2 -> 14 [size =\"35589120\"]\n  2 -> 15 [size =\"35589120\"]\n  2 -> 17 [size =\"35589120\"]\n  2 -> 19 [size =\"35589120\"]\n  3 [size=\"150306133\", alpha=\"0.16\", expect_size=\"45091840\"] \n  3 -> 12 [size =\"45091840\"]\n  3 -> 14 [size =\"45091840\"]\n  3 -> 15 [size =\"45091840\"]\n  3 -> 17 [size =\"45091840\"]\n  4 [size=\"61395627\", alpha=\"0.02\", expect_size=\"18418688\"] \n  4 -> 12 [size =\"18418688\"]\n  4 -> 15 [size =\"18418688\"]\n  4 -> 16 [size =\"18418688\"]\n  4 -> 19 [size =\"18418688\"]\n  5 [size=\"154422613\", alpha=\"0.18\", expect_size=\"46326784\"] \n  5 -> 13 [size =\"46326784\"]\n  5 -> 16 [size =\"46326784\"]\n  5 -> 18 [size =\"46326784\"]\n  6 [size=\"41833813\", alpha=\"0.00\", expect_size=\"12550144\"] \n  6 -> 11 [size =\"12550144\"]\n  6 -> 13 [size =\"12550144\"]\n  6 -> 14 [size =\"12550144\"]\n  6 -> 16 [size =\"12550144\"]\n  6 -> 18 [size =\"12550144\"]\n  6 -> 19 [size =\"12550144\"]\n  7 [size=\"38031360\", alpha=\"0.14\", expect_size=\"11409408\"] \n  7 -> 15 [size =\"11409408\"]\n  7 -> 18 [size =\"11409408\"]\n  8 [size=\"166731093\", alpha=\"0.10\", expect_size=\"50019328\"] \n  8 -> 16 [size =\"50019328\"]\n  8 -> 18 [size =\"50019328\"]\n  9 [size=\"53032960\", alpha=\"0.02\", expect_size=\"15909888\"] \n  10 [size=\"38126933\", alpha=\"0.05\", expect_size=\"11438080\"] \n  10 -> 19 [size =\"11438080\"]\n  11 [size=\"78848000\", alpha=\"0.09\", expect_size=\"23654400\"] \n  11 -> 20 [size =\"23654400\"]\n  12 [size=\"82544640\", alpha=\"0.12\", expect_size=\"24763392\"] \n  13 [size=\"137454933\", alpha=\"0.02\", expect_size=\"41236480\"] \n  14 [size=\"106137600\", alpha=\"0.12\", expect_size=\"31841280\"] \n  15 [size=\"120227840\", alpha=\"0.12\", expect_size=\"36068352\"] \n  16 [size=\"108093440\", alpha=\"0.15\", expect_size=\"32428032\"] \n  17 [size=\"108950187\", alpha=\"0.18\", expect_size=\"32685056\"] \n  17 -> 20 [size =\"32685056\"]\n  18 [size=\"60972373\", alpha=\"0.04\", expect_size=\"18291712\"] \n  18 -> 20 [size =\"18291712\"]\n  19 [size=\"140209493\", alpha=\"0.18\", expect_size=\"42062848\"] \n  20 [size=\"153429333\", alpha=\"0.16\", expect_size=\"46028800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59676672\", alpha=\"0.09\", expect_size=\"29838336\"] \n  2 [size=\"44193792\", alpha=\"0.19\", expect_size=\"22096896\"] \n  3 [size=\"42186752\", alpha=\"0.18\", expect_size=\"21093376\"] \n  4 [size=\"75921408\", alpha=\"0.12\", expect_size=\"37960704\"] \n  5 [size=\"75575296\", alpha=\"0.14\", expect_size=\"37787648\"] \n  6 [size=\"100990976\", alpha=\"0.19\", expect_size=\"50495488\"] \n  7 [size=\"20736000\", alpha=\"0.07\", expect_size=\"10368000\"] \n  8 [size=\"18870272\", alpha=\"0.11\", expect_size=\"9435136\"] \n  9 [size=\"32008192\", alpha=\"0.19\", expect_size=\"16004096\"] \n  10 [size=\"84137984\", alpha=\"0.12\", expect_size=\"42068992\"] \n  11 [size=\"83496960\", alpha=\"0.10\", expect_size=\"41748480\"] \n  12 [size=\"32487424\", alpha=\"0.00\", expect_size=\"16243712\"] \n  13 [size=\"26572800\", alpha=\"0.07\", expect_size=\"13286400\"] \n  14 [size=\"15681536\", alpha=\"0.08\", expect_size=\"7840768\"] \n  15 [size=\"73971712\", alpha=\"0.01\", expect_size=\"36985856\"] \n  16 [size=\"44734464\", alpha=\"0.15\", expect_size=\"22367232\"] \n  17 [size=\"41244672\", alpha=\"0.09\", expect_size=\"20622336\"] \n  18 [size=\"75812864\", alpha=\"0.12\", expect_size=\"37906432\"] \n  19 [size=\"33183744\", alpha=\"0.17\", expect_size=\"16591872\"] \n  20 [size=\"27883520\", alpha=\"0.16\", expect_size=\"13941760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153142613\", alpha=\"0.01\", expect_size=\"45942784\"] \n  1 -> 13 [size =\"45942784\"]\n  1 -> 15 [size =\"45942784\"]\n  1 -> 20 [size =\"45942784\"]\n  2 [size=\"90368000\", alpha=\"0.05\", expect_size=\"27110400\"] \n  2 -> 12 [size =\"27110400\"]\n  2 -> 17 [size =\"27110400\"]\n  2 -> 19 [size =\"27110400\"]\n  3 [size=\"89562453\", alpha=\"0.10\", expect_size=\"26868736\"] \n  3 -> 16 [size =\"26868736\"]\n  3 -> 20 [size =\"26868736\"]\n  4 [size=\"36788907\", alpha=\"0.02\", expect_size=\"11036672\"] \n  4 -> 13 [size =\"11036672\"]\n  4 -> 15 [size =\"11036672\"]\n  4 -> 20 [size =\"11036672\"]\n  5 [size=\"107250347\", alpha=\"0.17\", expect_size=\"32175104\"] \n  5 -> 14 [size =\"32175104\"]\n  5 -> 15 [size =\"32175104\"]\n  5 -> 19 [size =\"32175104\"]\n  6 [size=\"88111787\", alpha=\"0.20\", expect_size=\"26433536\"] \n  6 -> 13 [size =\"26433536\"]\n  6 -> 16 [size =\"26433536\"]\n  6 -> 20 [size =\"26433536\"]\n  7 [size=\"40676693\", alpha=\"0.11\", expect_size=\"12203008\"] \n  7 -> 13 [size =\"12203008\"]\n  7 -> 14 [size =\"12203008\"]\n  7 -> 17 [size =\"12203008\"]\n  7 -> 20 [size =\"12203008\"]\n  8 [size=\"164379307\", alpha=\"0.15\", expect_size=\"49313792\"] \n  8 -> 14 [size =\"49313792\"]\n  8 -> 18 [size =\"49313792\"]\n  8 -> 19 [size =\"49313792\"]\n  9 [size=\"83408213\", alpha=\"0.07\", expect_size=\"25022464\"] \n  9 -> 12 [size =\"25022464\"]\n  9 -> 15 [size =\"25022464\"]\n  9 -> 16 [size =\"25022464\"]\n  9 -> 20 [size =\"25022464\"]\n  10 [size=\"128576853\", alpha=\"0.05\", expect_size=\"38573056\"] \n  10 -> 13 [size =\"38573056\"]\n  10 -> 16 [size =\"38573056\"]\n  10 -> 19 [size =\"38573056\"]\n  11 [size=\"128532480\", alpha=\"0.08\", expect_size=\"38559744\"] \n  11 -> 13 [size =\"38559744\"]\n  11 -> 18 [size =\"38559744\"]\n  12 [size=\"137984000\", alpha=\"0.16\", expect_size=\"41395200\"] \n  13 [size=\"173929813\", alpha=\"0.16\", expect_size=\"52178944\"] \n  14 [size=\"97177600\", alpha=\"0.17\", expect_size=\"29153280\"] \n  15 [size=\"111124480\", alpha=\"0.13\", expect_size=\"33337344\"] \n  16 [size=\"89460053\", alpha=\"0.13\", expect_size=\"26838016\"] \n  17 [size=\"86132053\", alpha=\"0.18\", expect_size=\"25839616\"] \n  18 [size=\"172789760\", alpha=\"0.06\", expect_size=\"51836928\"] \n  19 [size=\"131140267\", alpha=\"0.18\", expect_size=\"39342080\"] \n  20 [size=\"27637760\", alpha=\"0.05\", expect_size=\"8291328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38291456\", alpha=\"0.19\", expect_size=\"19145728\"] \n  1 -> 2 [size =\"19145728\"]\n  2 [size=\"74518528\", alpha=\"0.04\", expect_size=\"37259264\"] \n  2 -> 3 [size =\"37259264\"]\n  3 [size=\"89839616\", alpha=\"0.11\", expect_size=\"44919808\"] \n  3 -> 4 [size =\"44919808\"]\n  4 [size=\"89382912\", alpha=\"0.14\", expect_size=\"44691456\"] \n  4 -> 5 [size =\"44691456\"]\n  5 [size=\"25749504\", alpha=\"0.20\", expect_size=\"12874752\"] \n  5 -> 6 [size =\"12874752\"]\n  6 [size=\"18960384\", alpha=\"0.11\", expect_size=\"9480192\"] \n  6 -> 7 [size =\"9480192\"]\n  7 [size=\"96219136\", alpha=\"0.15\", expect_size=\"48109568\"] \n  7 -> 8 [size =\"48109568\"]\n  8 [size=\"51986432\", alpha=\"0.02\", expect_size=\"25993216\"] \n  8 -> 9 [size =\"25993216\"]\n  9 [size=\"23013376\", alpha=\"0.17\", expect_size=\"11506688\"] \n  9 -> 10 [size =\"11506688\"]\n  10 [size=\"44421120\", alpha=\"0.05\", expect_size=\"22210560\"] \n  10 -> 11 [size =\"22210560\"]\n  11 [size=\"25991168\", alpha=\"0.12\", expect_size=\"12995584\"] \n  11 -> 12 [size =\"12995584\"]\n  12 [size=\"22212608\", alpha=\"0.19\", expect_size=\"11106304\"] \n  12 -> 13 [size =\"11106304\"]\n  13 [size=\"40966144\", alpha=\"0.09\", expect_size=\"20483072\"] \n  13 -> 14 [size =\"20483072\"]\n  14 [size=\"91346944\", alpha=\"0.11\", expect_size=\"45673472\"] \n  14 -> 15 [size =\"45673472\"]\n  15 [size=\"61687808\", alpha=\"0.13\", expect_size=\"30843904\"] \n  15 -> 16 [size =\"30843904\"]\n  16 [size=\"59389952\", alpha=\"0.12\", expect_size=\"29694976\"] \n  16 -> 17 [size =\"29694976\"]\n  17 [size=\"17907712\", alpha=\"0.13\", expect_size=\"8953856\"] \n  17 -> 18 [size =\"8953856\"]\n  18 [size=\"87851008\", alpha=\"0.03\", expect_size=\"43925504\"] \n  18 -> 19 [size =\"43925504\"]\n  19 [size=\"99463168\", alpha=\"0.14\", expect_size=\"49731584\"] \n  19 -> 20 [size =\"49731584\"]\n  20 [size=\"83400704\", alpha=\"0.14\", expect_size=\"41700352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:43 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56463360\", alpha=\"0.11\", expect_size=\"16939008\"] \n  2 [size=\"122033493\", alpha=\"0.10\", expect_size=\"36610048\"] \n  2 -> 12 [size =\"36610048\"]\n  3 [size=\"163884373\", alpha=\"0.09\", expect_size=\"49165312\"] \n  3 -> 11 [size =\"49165312\"]\n  3 -> 12 [size =\"49165312\"]\n  3 -> 13 [size =\"49165312\"]\n  3 -> 14 [size =\"49165312\"]\n  4 [size=\"108868267\", alpha=\"0.11\", expect_size=\"32660480\"] \n  4 -> 12 [size =\"32660480\"]\n  4 -> 14 [size =\"32660480\"]\n  5 [size=\"30013440\", alpha=\"0.05\", expect_size=\"9004032\"] \n  5 -> 10 [size =\"9004032\"]\n  5 -> 12 [size =\"9004032\"]\n  6 [size=\"174462293\", alpha=\"0.00\", expect_size=\"52338688\"] \n  7 [size=\"56794453\", alpha=\"0.16\", expect_size=\"17038336\"] \n  7 -> 12 [size =\"17038336\"]\n  8 [size=\"103130453\", alpha=\"0.09\", expect_size=\"30939136\"] \n  8 -> 10 [size =\"30939136\"]\n  9 [size=\"30320640\", alpha=\"0.15\", expect_size=\"9096192\"] \n  9 -> 10 [size =\"9096192\"]\n  9 -> 13 [size =\"9096192\"]\n  9 -> 14 [size =\"9096192\"]\n  10 [size=\"163590827\", alpha=\"0.17\", expect_size=\"49077248\"] \n  10 -> 17 [size =\"49077248\"]\n  10 -> 18 [size =\"49077248\"]\n  11 [size=\"143998293\", alpha=\"0.11\", expect_size=\"43199488\"] \n  11 -> 20 [size =\"43199488\"]\n  12 [size=\"75902293\", alpha=\"0.15\", expect_size=\"22770688\"] \n  12 -> 17 [size =\"22770688\"]\n  12 -> 19 [size =\"22770688\"]\n  13 [size=\"152207360\", alpha=\"0.17\", expect_size=\"45662208\"] \n  13 -> 15 [size =\"45662208\"]\n  13 -> 19 [size =\"45662208\"]\n  14 [size=\"62778027\", alpha=\"0.04\", expect_size=\"18833408\"] \n  14 -> 15 [size =\"18833408\"]\n  14 -> 16 [size =\"18833408\"]\n  14 -> 17 [size =\"18833408\"]\n  15 [size=\"145780053\", alpha=\"0.09\", expect_size=\"43734016\"] \n  16 [size=\"30822400\", alpha=\"0.15\", expect_size=\"9246720\"] \n  17 [size=\"32030720\", alpha=\"0.16\", expect_size=\"9609216\"] \n  18 [size=\"155917653\", alpha=\"0.09\", expect_size=\"46775296\"] \n  19 [size=\"71884800\", alpha=\"0.05\", expect_size=\"21565440\"] \n  20 [size=\"36164267\", alpha=\"0.15\", expect_size=\"10849280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42280960\", alpha=\"0.08\", expect_size=\"16912384\"] \n  2 [size=\"34854400\", alpha=\"0.18\", expect_size=\"13941760\"] \n  2 -> 5 [size =\"13941760\"]\n  2 -> 6 [size =\"13941760\"]\n  3 [size=\"105651200\", alpha=\"0.00\", expect_size=\"42260480\"] \n  3 -> 6 [size =\"42260480\"]\n  3 -> 7 [size =\"42260480\"]\n  4 [size=\"126144000\", alpha=\"0.11\", expect_size=\"50457600\"] \n  4 -> 6 [size =\"50457600\"]\n  5 [size=\"81239040\", alpha=\"0.04\", expect_size=\"32495616\"] \n  5 -> 9 [size =\"32495616\"]\n  5 -> 10 [size =\"32495616\"]\n  6 [size=\"91279360\", alpha=\"0.18\", expect_size=\"36511744\"] \n  6 -> 8 [size =\"36511744\"]\n  6 -> 9 [size =\"36511744\"]\n  7 [size=\"40663040\", alpha=\"0.02\", expect_size=\"16265216\"] \n  7 -> 8 [size =\"16265216\"]\n  8 [size=\"32995840\", alpha=\"0.14\", expect_size=\"13198336\"] \n  9 [size=\"45857280\", alpha=\"0.00\", expect_size=\"18342912\"] \n  9 -> 12 [size =\"18342912\"]\n  9 -> 13 [size =\"18342912\"]\n  10 [size=\"79290880\", alpha=\"0.11\", expect_size=\"31716352\"] \n  10 -> 11 [size =\"31716352\"]\n  10 -> 12 [size =\"31716352\"]\n  10 -> 13 [size =\"31716352\"]\n  11 [size=\"106368000\", alpha=\"0.03\", expect_size=\"42547200\"] \n  11 -> 14 [size =\"42547200\"]\n  12 [size=\"35770880\", alpha=\"0.04\", expect_size=\"14308352\"] \n  12 -> 14 [size =\"14308352\"]\n  12 -> 15 [size =\"14308352\"]\n  12 -> 17 [size =\"14308352\"]\n  13 [size=\"25976320\", alpha=\"0.04\", expect_size=\"10390528\"] \n  13 -> 15 [size =\"10390528\"]\n  13 -> 16 [size =\"10390528\"]\n  13 -> 17 [size =\"10390528\"]\n  14 [size=\"26242560\", alpha=\"0.11\", expect_size=\"10497024\"] \n  15 [size=\"92469760\", alpha=\"0.06\", expect_size=\"36987904\"] \n  15 -> 18 [size =\"36987904\"]\n  15 -> 19 [size =\"36987904\"]\n  15 -> 20 [size =\"36987904\"]\n  16 [size=\"118894080\", alpha=\"0.10\", expect_size=\"47557632\"] \n  16 -> 18 [size =\"47557632\"]\n  16 -> 19 [size =\"47557632\"]\n  16 -> 20 [size =\"47557632\"]\n  17 [size=\"107082240\", alpha=\"0.11\", expect_size=\"42832896\"] \n  17 -> 19 [size =\"42832896\"]\n  17 -> 20 [size =\"42832896\"]\n  18 [size=\"118097920\", alpha=\"0.03\", expect_size=\"47239168\"] \n  19 [size=\"84142080\", alpha=\"0.10\", expect_size=\"33656832\"] \n  20 [size=\"85946880\", alpha=\"0.02\", expect_size=\"34378752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123101867\", alpha=\"0.08\", expect_size=\"36930560\"] \n  1 -> 10 [size =\"36930560\"]\n  1 -> 11 [size =\"36930560\"]\n  2 [size=\"70068907\", alpha=\"0.06\", expect_size=\"21020672\"] \n  2 -> 10 [size =\"21020672\"]\n  2 -> 12 [size =\"21020672\"]\n  3 [size=\"87128747\", alpha=\"0.08\", expect_size=\"26138624\"] \n  4 [size=\"95081813\", alpha=\"0.20\", expect_size=\"28524544\"] \n  4 -> 10 [size =\"28524544\"]\n  4 -> 14 [size =\"28524544\"]\n  5 [size=\"71362560\", alpha=\"0.17\", expect_size=\"21408768\"] \n  5 -> 11 [size =\"21408768\"]\n  6 [size=\"121804800\", alpha=\"0.19\", expect_size=\"36541440\"] \n  6 -> 13 [size =\"36541440\"]\n  7 [size=\"30382080\", alpha=\"0.00\", expect_size=\"9114624\"] \n  7 -> 11 [size =\"9114624\"]\n  7 -> 12 [size =\"9114624\"]\n  7 -> 13 [size =\"9114624\"]\n  7 -> 14 [size =\"9114624\"]\n  8 [size=\"85053440\", alpha=\"0.15\", expect_size=\"25516032\"] \n  8 -> 12 [size =\"25516032\"]\n  9 [size=\"58828800\", alpha=\"0.13\", expect_size=\"17648640\"] \n  9 -> 11 [size =\"17648640\"]\n  9 -> 12 [size =\"17648640\"]\n  9 -> 14 [size =\"17648640\"]\n  10 [size=\"117203627\", alpha=\"0.14\", expect_size=\"35161088\"] \n  10 -> 16 [size =\"35161088\"]\n  10 -> 17 [size =\"35161088\"]\n  10 -> 19 [size =\"35161088\"]\n  11 [size=\"147374080\", alpha=\"0.11\", expect_size=\"44212224\"] \n  11 -> 16 [size =\"44212224\"]\n  11 -> 17 [size =\"44212224\"]\n  12 [size=\"51821227\", alpha=\"0.10\", expect_size=\"15546368\"] \n  12 -> 15 [size =\"15546368\"]\n  13 [size=\"101932373\", alpha=\"0.13\", expect_size=\"30579712\"] \n  13 -> 15 [size =\"30579712\"]\n  13 -> 17 [size =\"30579712\"]\n  13 -> 18 [size =\"30579712\"]\n  14 [size=\"165386240\", alpha=\"0.16\", expect_size=\"49615872\"] \n  14 -> 15 [size =\"49615872\"]\n  14 -> 17 [size =\"49615872\"]\n  14 -> 20 [size =\"49615872\"]\n  15 [size=\"161938773\", alpha=\"0.03\", expect_size=\"48581632\"] \n  16 [size=\"139233280\", alpha=\"0.19\", expect_size=\"41769984\"] \n  17 [size=\"130286933\", alpha=\"0.14\", expect_size=\"39086080\"] \n  18 [size=\"132819627\", alpha=\"0.05\", expect_size=\"39845888\"] \n  19 [size=\"89838933\", alpha=\"0.12\", expect_size=\"26951680\"] \n  20 [size=\"36249600\", alpha=\"0.17\", expect_size=\"10874880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47080960\", alpha=\"0.04\", expect_size=\"18832384\"] \n  1 -> 9 [size =\"18832384\"]\n  1 -> 12 [size =\"18832384\"]\n  1 -> 15 [size =\"18832384\"]\n  1 -> 20 [size =\"18832384\"]\n  2 [size=\"51248640\", alpha=\"0.01\", expect_size=\"20499456\"] \n  2 -> 14 [size =\"20499456\"]\n  3 [size=\"121251840\", alpha=\"0.02\", expect_size=\"48500736\"] \n  3 -> 13 [size =\"48500736\"]\n  3 -> 16 [size =\"48500736\"]\n  3 -> 18 [size =\"48500736\"]\n  3 -> 19 [size =\"48500736\"]\n  4 [size=\"97095680\", alpha=\"0.15\", expect_size=\"38838272\"] \n  4 -> 11 [size =\"38838272\"]\n  4 -> 16 [size =\"38838272\"]\n  4 -> 20 [size =\"38838272\"]\n  5 [size=\"65387520\", alpha=\"0.04\", expect_size=\"26155008\"] \n  5 -> 11 [size =\"26155008\"]\n  5 -> 12 [size =\"26155008\"]\n  5 -> 13 [size =\"26155008\"]\n  5 -> 16 [size =\"26155008\"]\n  6 [size=\"55882240\", alpha=\"0.11\", expect_size=\"22352896\"] \n  6 -> 11 [size =\"22352896\"]\n  6 -> 12 [size =\"22352896\"]\n  6 -> 13 [size =\"22352896\"]\n  6 -> 14 [size =\"22352896\"]\n  6 -> 17 [size =\"22352896\"]\n  6 -> 20 [size =\"22352896\"]\n  7 [size=\"20433920\", alpha=\"0.03\", expect_size=\"8173568\"] \n  7 -> 10 [size =\"8173568\"]\n  7 -> 11 [size =\"8173568\"]\n  7 -> 12 [size =\"8173568\"]\n  7 -> 17 [size =\"8173568\"]\n  7 -> 20 [size =\"8173568\"]\n  8 [size=\"39956480\", alpha=\"0.09\", expect_size=\"15982592\"] \n  8 -> 12 [size =\"15982592\"]\n  8 -> 16 [size =\"15982592\"]\n  8 -> 18 [size =\"15982592\"]\n  8 -> 20 [size =\"15982592\"]\n  9 [size=\"85007360\", alpha=\"0.10\", expect_size=\"34002944\"] \n  10 [size=\"41766400\", alpha=\"0.12\", expect_size=\"16706560\"] \n  11 [size=\"84451840\", alpha=\"0.18\", expect_size=\"33780736\"] \n  12 [size=\"107253760\", alpha=\"0.19\", expect_size=\"42901504\"] \n  13 [size=\"113528320\", alpha=\"0.11\", expect_size=\"45411328\"] \n  14 [size=\"128005120\", alpha=\"0.16\", expect_size=\"51202048\"] \n  15 [size=\"98206720\", alpha=\"0.01\", expect_size=\"39282688\"] \n  16 [size=\"122570240\", alpha=\"0.02\", expect_size=\"49028096\"] \n  17 [size=\"71086080\", alpha=\"0.05\", expect_size=\"28434432\"] \n  18 [size=\"90585600\", alpha=\"0.12\", expect_size=\"36234240\"] \n  19 [size=\"24555520\", alpha=\"0.04\", expect_size=\"9822208\"] \n  20 [size=\"85230080\", alpha=\"0.11\", expect_size=\"34092032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36776960\", alpha=\"0.10\", expect_size=\"14710784\"] \n  1 -> 19 [size =\"14710784\"]\n  2 [size=\"71070720\", alpha=\"0.09\", expect_size=\"28428288\"] \n  2 -> 16 [size =\"28428288\"]\n  2 -> 19 [size =\"28428288\"]\n  2 -> 20 [size =\"28428288\"]\n  3 [size=\"112171520\", alpha=\"0.03\", expect_size=\"44868608\"] \n  3 -> 16 [size =\"44868608\"]\n  3 -> 20 [size =\"44868608\"]\n  4 [size=\"96312320\", alpha=\"0.18\", expect_size=\"38524928\"] \n  4 -> 16 [size =\"38524928\"]\n  4 -> 17 [size =\"38524928\"]\n  4 -> 19 [size =\"38524928\"]\n  5 [size=\"122457600\", alpha=\"0.05\", expect_size=\"48983040\"] \n  5 -> 15 [size =\"48983040\"]\n  5 -> 16 [size =\"48983040\"]\n  5 -> 20 [size =\"48983040\"]\n  6 [size=\"91655680\", alpha=\"0.01\", expect_size=\"36662272\"] \n  6 -> 15 [size =\"36662272\"]\n  6 -> 16 [size =\"36662272\"]\n  7 [size=\"47472640\", alpha=\"0.16\", expect_size=\"18989056\"] \n  7 -> 15 [size =\"18989056\"]\n  7 -> 16 [size =\"18989056\"]\n  7 -> 17 [size =\"18989056\"]\n  7 -> 19 [size =\"18989056\"]\n  8 [size=\"54983680\", alpha=\"0.18\", expect_size=\"21993472\"] \n  8 -> 16 [size =\"21993472\"]\n  8 -> 17 [size =\"21993472\"]\n  8 -> 18 [size =\"21993472\"]\n  9 [size=\"43189760\", alpha=\"0.16\", expect_size=\"17275904\"] \n  10 [size=\"96051200\", alpha=\"0.09\", expect_size=\"38420480\"] \n  10 -> 17 [size =\"38420480\"]\n  11 [size=\"49323520\", alpha=\"0.15\", expect_size=\"19729408\"] \n  11 -> 15 [size =\"19729408\"]\n  11 -> 17 [size =\"19729408\"]\n  12 [size=\"108142080\", alpha=\"0.17\", expect_size=\"43256832\"] \n  12 -> 16 [size =\"43256832\"]\n  12 -> 17 [size =\"43256832\"]\n  12 -> 18 [size =\"43256832\"]\n  13 [size=\"42316800\", alpha=\"0.04\", expect_size=\"16926720\"] \n  13 -> 17 [size =\"16926720\"]\n  13 -> 20 [size =\"16926720\"]\n  14 [size=\"60654080\", alpha=\"0.14\", expect_size=\"24261632\"] \n  14 -> 19 [size =\"24261632\"]\n  14 -> 20 [size =\"24261632\"]\n  15 [size=\"49774080\", alpha=\"0.07\", expect_size=\"19909632\"] \n  16 [size=\"80135680\", alpha=\"0.19\", expect_size=\"32054272\"] \n  17 [size=\"86771200\", alpha=\"0.01\", expect_size=\"34708480\"] \n  18 [size=\"61102080\", alpha=\"0.12\", expect_size=\"24440832\"] \n  19 [size=\"47964160\", alpha=\"0.16\", expect_size=\"19185664\"] \n  20 [size=\"24919040\", alpha=\"0.10\", expect_size=\"9967616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87480320\", alpha=\"0.14\", expect_size=\"26244096\"] \n  1 -> 2 [size =\"26244096\"]\n  2 [size=\"34450773\", alpha=\"0.07\", expect_size=\"10335232\"] \n  2 -> 3 [size =\"10335232\"]\n  3 [size=\"125552640\", alpha=\"0.10\", expect_size=\"37665792\"] \n  3 -> 4 [size =\"37665792\"]\n  4 [size=\"71826773\", alpha=\"0.08\", expect_size=\"21548032\"] \n  4 -> 5 [size =\"21548032\"]\n  5 [size=\"139847680\", alpha=\"0.16\", expect_size=\"41954304\"] \n  5 -> 6 [size =\"41954304\"]\n  6 [size=\"40666453\", alpha=\"0.03\", expect_size=\"12199936\"] \n  6 -> 7 [size =\"12199936\"]\n  7 [size=\"124835840\", alpha=\"0.13\", expect_size=\"37450752\"] \n  7 -> 8 [size =\"37450752\"]\n  8 [size=\"152814933\", alpha=\"0.09\", expect_size=\"45844480\"] \n  8 -> 9 [size =\"45844480\"]\n  9 [size=\"155211093\", alpha=\"0.10\", expect_size=\"46563328\"] \n  9 -> 10 [size =\"46563328\"]\n  10 [size=\"96228693\", alpha=\"0.00\", expect_size=\"28868608\"] \n  10 -> 11 [size =\"28868608\"]\n  11 [size=\"78134613\", alpha=\"0.14\", expect_size=\"23440384\"] \n  11 -> 12 [size =\"23440384\"]\n  12 [size=\"29955413\", alpha=\"0.05\", expect_size=\"8986624\"] \n  12 -> 13 [size =\"8986624\"]\n  13 [size=\"85582507\", alpha=\"0.17\", expect_size=\"25674752\"] \n  13 -> 14 [size =\"25674752\"]\n  14 [size=\"163758080\", alpha=\"0.16\", expect_size=\"49127424\"] \n  14 -> 15 [size =\"49127424\"]\n  15 [size=\"65993387\", alpha=\"0.01\", expect_size=\"19798016\"] \n  15 -> 16 [size =\"19798016\"]\n  16 [size=\"32119467\", alpha=\"0.04\", expect_size=\"9635840\"] \n  16 -> 17 [size =\"9635840\"]\n  17 [size=\"54012587\", alpha=\"0.17\", expect_size=\"16203776\"] \n  17 -> 18 [size =\"16203776\"]\n  18 [size=\"158897493\", alpha=\"0.10\", expect_size=\"47669248\"] \n  18 -> 19 [size =\"47669248\"]\n  19 [size=\"74052267\", alpha=\"0.02\", expect_size=\"22215680\"] \n  19 -> 20 [size =\"22215680\"]\n  20 [size=\"154388480\", alpha=\"0.17\", expect_size=\"46316544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31051093\", alpha=\"0.12\", expect_size=\"9315328\"] \n  1 -> 2 [size =\"9315328\"]\n  2 [size=\"150623573\", alpha=\"0.16\", expect_size=\"45187072\"] \n  2 -> 3 [size =\"45187072\"]\n  3 [size=\"112322560\", alpha=\"0.04\", expect_size=\"33696768\"] \n  3 -> 4 [size =\"33696768\"]\n  4 [size=\"91361280\", alpha=\"0.06\", expect_size=\"27408384\"] \n  4 -> 5 [size =\"27408384\"]\n  5 [size=\"132109653\", alpha=\"0.17\", expect_size=\"39632896\"] \n  5 -> 6 [size =\"39632896\"]\n  6 [size=\"169581227\", alpha=\"0.18\", expect_size=\"50874368\"] \n  6 -> 7 [size =\"50874368\"]\n  7 [size=\"32174080\", alpha=\"0.12\", expect_size=\"9652224\"] \n  7 -> 8 [size =\"9652224\"]\n  8 [size=\"142042453\", alpha=\"0.14\", expect_size=\"42612736\"] \n  8 -> 9 [size =\"42612736\"]\n  9 [size=\"161099093\", alpha=\"0.04\", expect_size=\"48329728\"] \n  9 -> 10 [size =\"48329728\"]\n  10 [size=\"81104213\", alpha=\"0.01\", expect_size=\"24331264\"] \n  10 -> 11 [size =\"24331264\"]\n  11 [size=\"114561707\", alpha=\"0.18\", expect_size=\"34368512\"] \n  11 -> 12 [size =\"34368512\"]\n  12 [size=\"52357120\", alpha=\"0.17\", expect_size=\"15707136\"] \n  12 -> 13 [size =\"15707136\"]\n  13 [size=\"23838720\", alpha=\"0.17\", expect_size=\"7151616\"] \n  13 -> 14 [size =\"7151616\"]\n  14 [size=\"53691733\", alpha=\"0.11\", expect_size=\"16107520\"] \n  14 -> 15 [size =\"16107520\"]\n  15 [size=\"99198293\", alpha=\"0.12\", expect_size=\"29759488\"] \n  15 -> 16 [size =\"29759488\"]\n  16 [size=\"73594880\", alpha=\"0.11\", expect_size=\"22078464\"] \n  16 -> 17 [size =\"22078464\"]\n  17 [size=\"60262400\", alpha=\"0.01\", expect_size=\"18078720\"] \n  17 -> 18 [size =\"18078720\"]\n  18 [size=\"156781227\", alpha=\"0.09\", expect_size=\"47034368\"] \n  18 -> 19 [size =\"47034368\"]\n  19 [size=\"111363413\", alpha=\"0.04\", expect_size=\"33409024\"] \n  19 -> 20 [size =\"33409024\"]\n  20 [size=\"139950080\", alpha=\"0.14\", expect_size=\"41985024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94130176\", alpha=\"0.07\", expect_size=\"47065088\"] \n  1 -> 3 [size =\"47065088\"]\n  2 [size=\"35350528\", alpha=\"0.11\", expect_size=\"17675264\"] \n  2 -> 4 [size =\"17675264\"]\n  3 [size=\"33163264\", alpha=\"0.10\", expect_size=\"16581632\"] \n  4 [size=\"19922944\", alpha=\"0.16\", expect_size=\"9961472\"] \n  4 -> 5 [size =\"9961472\"]\n  5 [size=\"61081600\", alpha=\"0.18\", expect_size=\"30540800\"] \n  5 -> 6 [size =\"30540800\"]\n  5 -> 7 [size =\"30540800\"]\n  6 [size=\"68417536\", alpha=\"0.14\", expect_size=\"34208768\"] \n  7 [size=\"29597696\", alpha=\"0.08\", expect_size=\"14798848\"] \n  7 -> 8 [size =\"14798848\"]\n  7 -> 9 [size =\"14798848\"]\n  8 [size=\"87209984\", alpha=\"0.14\", expect_size=\"43604992\"] \n  8 -> 10 [size =\"43604992\"]\n  9 [size=\"13737984\", alpha=\"0.02\", expect_size=\"6868992\"] \n  10 [size=\"34834432\", alpha=\"0.20\", expect_size=\"17417216\"] \n  10 -> 11 [size =\"17417216\"]\n  11 [size=\"103915520\", alpha=\"0.08\", expect_size=\"51957760\"] \n  11 -> 12 [size =\"51957760\"]\n  12 [size=\"43837440\", alpha=\"0.03\", expect_size=\"21918720\"] \n  12 -> 13 [size =\"21918720\"]\n  13 [size=\"95455232\", alpha=\"0.02\", expect_size=\"47727616\"] \n  13 -> 14 [size =\"47727616\"]\n  14 [size=\"50419712\", alpha=\"0.01\", expect_size=\"25209856\"] \n  14 -> 15 [size =\"25209856\"]\n  15 [size=\"30828544\", alpha=\"0.09\", expect_size=\"15414272\"] \n  15 -> 16 [size =\"15414272\"]\n  16 [size=\"20717568\", alpha=\"0.08\", expect_size=\"10358784\"] \n  16 -> 17 [size =\"10358784\"]\n  16 -> 18 [size =\"10358784\"]\n  17 [size=\"87959552\", alpha=\"0.06\", expect_size=\"43979776\"] \n  17 -> 19 [size =\"43979776\"]\n  18 [size=\"31766528\", alpha=\"0.11\", expect_size=\"15883264\"] \n  18 -> 20 [size =\"15883264\"]\n  19 [size=\"98703360\", alpha=\"0.20\", expect_size=\"49351680\"] \n  20 [size=\"12118016\", alpha=\"0.12\", expect_size=\"6059008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67319808\", alpha=\"0.09\", expect_size=\"33659904\"] \n  1 -> 9 [size =\"33659904\"]\n  1 -> 14 [size =\"33659904\"]\n  1 -> 15 [size =\"33659904\"]\n  2 [size=\"25819136\", alpha=\"0.09\", expect_size=\"12909568\"] \n  2 -> 11 [size =\"12909568\"]\n  2 -> 14 [size =\"12909568\"]\n  2 -> 15 [size =\"12909568\"]\n  3 [size=\"63121408\", alpha=\"0.18\", expect_size=\"31560704\"] \n  3 -> 13 [size =\"31560704\"]\n  3 -> 14 [size =\"31560704\"]\n  4 [size=\"50587648\", alpha=\"0.03\", expect_size=\"25293824\"] \n  4 -> 9 [size =\"25293824\"]\n  5 [size=\"21348352\", alpha=\"0.04\", expect_size=\"10674176\"] \n  5 -> 9 [size =\"10674176\"]\n  5 -> 11 [size =\"10674176\"]\n  5 -> 13 [size =\"10674176\"]\n  5 -> 14 [size =\"10674176\"]\n  6 [size=\"44120064\", alpha=\"0.06\", expect_size=\"22060032\"] \n  6 -> 9 [size =\"22060032\"]\n  6 -> 11 [size =\"22060032\"]\n  7 [size=\"103266304\", alpha=\"0.08\", expect_size=\"51633152\"] \n  7 -> 9 [size =\"51633152\"]\n  7 -> 11 [size =\"51633152\"]\n  7 -> 12 [size =\"51633152\"]\n  8 [size=\"59332608\", alpha=\"0.04\", expect_size=\"29666304\"] \n  8 -> 9 [size =\"29666304\"]\n  8 -> 10 [size =\"29666304\"]\n  8 -> 11 [size =\"29666304\"]\n  9 [size=\"90411008\", alpha=\"0.02\", expect_size=\"45205504\"] \n  9 -> 17 [size =\"45205504\"]\n  9 -> 20 [size =\"45205504\"]\n  10 [size=\"92561408\", alpha=\"0.09\", expect_size=\"46280704\"] \n  10 -> 17 [size =\"46280704\"]\n  10 -> 19 [size =\"46280704\"]\n  10 -> 20 [size =\"46280704\"]\n  11 [size=\"44435456\", alpha=\"0.14\", expect_size=\"22217728\"] \n  11 -> 16 [size =\"22217728\"]\n  11 -> 17 [size =\"22217728\"]\n  12 [size=\"88076288\", alpha=\"0.02\", expect_size=\"44038144\"] \n  12 -> 16 [size =\"44038144\"]\n  12 -> 20 [size =\"44038144\"]\n  13 [size=\"33972224\", alpha=\"0.16\", expect_size=\"16986112\"] \n  13 -> 16 [size =\"16986112\"]\n  13 -> 20 [size =\"16986112\"]\n  14 [size=\"22839296\", alpha=\"0.12\", expect_size=\"11419648\"] \n  14 -> 20 [size =\"11419648\"]\n  15 [size=\"39133184\", alpha=\"0.19\", expect_size=\"19566592\"] \n  15 -> 18 [size =\"19566592\"]\n  16 [size=\"59793408\", alpha=\"0.18\", expect_size=\"29896704\"] \n  17 [size=\"90120192\", alpha=\"0.18\", expect_size=\"45060096\"] \n  18 [size=\"33323008\", alpha=\"0.12\", expect_size=\"16661504\"] \n  19 [size=\"51937280\", alpha=\"0.01\", expect_size=\"25968640\"] \n  20 [size=\"61702144\", alpha=\"0.05\", expect_size=\"30851072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31101440\", alpha=\"0.20\", expect_size=\"12440576\"] \n  1 -> 10 [size =\"12440576\"]\n  1 -> 12 [size =\"12440576\"]\n  1 -> 14 [size =\"12440576\"]\n  2 [size=\"117882880\", alpha=\"0.02\", expect_size=\"47153152\"] \n  2 -> 10 [size =\"47153152\"]\n  2 -> 14 [size =\"47153152\"]\n  3 [size=\"28203520\", alpha=\"0.03\", expect_size=\"11281408\"] \n  4 [size=\"26293760\", alpha=\"0.17\", expect_size=\"10517504\"] \n  4 -> 15 [size =\"10517504\"]\n  5 [size=\"104885760\", alpha=\"0.01\", expect_size=\"41954304\"] \n  5 -> 11 [size =\"41954304\"]\n  6 [size=\"115752960\", alpha=\"0.09\", expect_size=\"46301184\"] \n  6 -> 11 [size =\"46301184\"]\n  6 -> 13 [size =\"46301184\"]\n  6 -> 16 [size =\"46301184\"]\n  7 [size=\"112727040\", alpha=\"0.14\", expect_size=\"45090816\"] \n  7 -> 11 [size =\"45090816\"]\n  7 -> 12 [size =\"45090816\"]\n  7 -> 13 [size =\"45090816\"]\n  7 -> 14 [size =\"45090816\"]\n  8 [size=\"89651200\", alpha=\"0.03\", expect_size=\"35860480\"] \n  8 -> 14 [size =\"35860480\"]\n  9 [size=\"13898240\", alpha=\"0.11\", expect_size=\"5559296\"] \n  9 -> 10 [size =\"5559296\"]\n  9 -> 12 [size =\"5559296\"]\n  9 -> 16 [size =\"5559296\"]\n  10 [size=\"103626240\", alpha=\"0.18\", expect_size=\"41450496\"] \n  10 -> 19 [size =\"41450496\"]\n  10 -> 20 [size =\"41450496\"]\n  11 [size=\"36523520\", alpha=\"0.16\", expect_size=\"14609408\"] \n  11 -> 18 [size =\"14609408\"]\n  11 -> 19 [size =\"14609408\"]\n  11 -> 20 [size =\"14609408\"]\n  12 [size=\"34972160\", alpha=\"0.18\", expect_size=\"13988864\"] \n  12 -> 17 [size =\"13988864\"]\n  12 -> 18 [size =\"13988864\"]\n  12 -> 20 [size =\"13988864\"]\n  13 [size=\"46650880\", alpha=\"0.13\", expect_size=\"18660352\"] \n  13 -> 17 [size =\"18660352\"]\n  13 -> 18 [size =\"18660352\"]\n  14 [size=\"67215360\", alpha=\"0.11\", expect_size=\"26886144\"] \n  15 [size=\"51389440\", alpha=\"0.09\", expect_size=\"20555776\"] \n  15 -> 19 [size =\"20555776\"]\n  16 [size=\"58670080\", alpha=\"0.20\", expect_size=\"23468032\"] \n  16 -> 20 [size =\"23468032\"]\n  17 [size=\"113359360\", alpha=\"0.03\", expect_size=\"45343744\"] \n  18 [size=\"80378880\", alpha=\"0.07\", expect_size=\"32151552\"] \n  19 [size=\"100828160\", alpha=\"0.11\", expect_size=\"40331264\"] \n  20 [size=\"49418240\", alpha=\"0.12\", expect_size=\"19767296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104048640\", alpha=\"0.14\", expect_size=\"52024320\"] \n  1 -> 2 [size =\"52024320\"]\n  1 -> 3 [size =\"52024320\"]\n  2 [size=\"36149248\", alpha=\"0.05\", expect_size=\"18074624\"] \n  2 -> 4 [size =\"18074624\"]\n  3 [size=\"91328512\", alpha=\"0.09\", expect_size=\"45664256\"] \n  3 -> 4 [size =\"45664256\"]\n  4 [size=\"61188096\", alpha=\"0.12\", expect_size=\"30594048\"] \n  4 -> 5 [size =\"30594048\"]\n  4 -> 6 [size =\"30594048\"]\n  5 [size=\"75534336\", alpha=\"0.18\", expect_size=\"37767168\"] \n  5 -> 7 [size =\"37767168\"]\n  5 -> 8 [size =\"37767168\"]\n  6 [size=\"44054528\", alpha=\"0.20\", expect_size=\"22027264\"] \n  6 -> 7 [size =\"22027264\"]\n  7 [size=\"54552576\", alpha=\"0.01\", expect_size=\"27276288\"] \n  8 [size=\"34947072\", alpha=\"0.19\", expect_size=\"17473536\"] \n  8 -> 9 [size =\"17473536\"]\n  8 -> 10 [size =\"17473536\"]\n  9 [size=\"92469248\", alpha=\"0.03\", expect_size=\"46234624\"] \n  9 -> 11 [size =\"46234624\"]\n  9 -> 12 [size =\"46234624\"]\n  10 [size=\"26058752\", alpha=\"0.13\", expect_size=\"13029376\"] \n  11 [size=\"17848320\", alpha=\"0.10\", expect_size=\"8924160\"] \n  12 [size=\"83482624\", alpha=\"0.02\", expect_size=\"41741312\"] \n  12 -> 13 [size =\"41741312\"]\n  12 -> 14 [size =\"41741312\"]\n  13 [size=\"13107200\", alpha=\"0.14\", expect_size=\"6553600\"] \n  13 -> 15 [size =\"6553600\"]\n  14 [size=\"55578624\", alpha=\"0.13\", expect_size=\"27789312\"] \n  14 -> 15 [size =\"27789312\"]\n  15 [size=\"18245632\", alpha=\"0.05\", expect_size=\"9122816\"] \n  15 -> 16 [size =\"9122816\"]\n  16 [size=\"102526976\", alpha=\"0.19\", expect_size=\"51263488\"] \n  16 -> 17 [size =\"51263488\"]\n  16 -> 18 [size =\"51263488\"]\n  17 [size=\"101926912\", alpha=\"0.06\", expect_size=\"50963456\"] \n  18 [size=\"104632320\", alpha=\"0.08\", expect_size=\"52316160\"] \n  18 -> 19 [size =\"52316160\"]\n  19 [size=\"100440064\", alpha=\"0.04\", expect_size=\"50220032\"] \n  19 -> 20 [size =\"50220032\"]\n  20 [size=\"21514240\", alpha=\"0.16\", expect_size=\"10757120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99233792\", alpha=\"0.12\", expect_size=\"49616896\"] \n  1 -> 16 [size =\"49616896\"]\n  1 -> 17 [size =\"49616896\"]\n  1 -> 18 [size =\"49616896\"]\n  1 -> 20 [size =\"49616896\"]\n  2 [size=\"65796096\", alpha=\"0.02\", expect_size=\"32898048\"] \n  2 -> 17 [size =\"32898048\"]\n  2 -> 17 [size =\"32898048\"]\n  2 -> 18 [size =\"32898048\"]\n  2 -> 20 [size =\"32898048\"]\n  3 [size=\"21860352\", alpha=\"0.06\", expect_size=\"10930176\"] \n  3 -> 16 [size =\"10930176\"]\n  3 -> 18 [size =\"10930176\"]\n  3 -> 19 [size =\"10930176\"]\n  3 -> 20 [size =\"10930176\"]\n  4 [size=\"102649856\", alpha=\"0.13\", expect_size=\"51324928\"] \n  4 -> 16 [size =\"51324928\"]\n  4 -> 17 [size =\"51324928\"]\n  4 -> 18 [size =\"51324928\"]\n  4 -> 20 [size =\"51324928\"]\n  5 [size=\"87410688\", alpha=\"0.06\", expect_size=\"43705344\"] \n  5 -> 16 [size =\"43705344\"]\n  5 -> 18 [size =\"43705344\"]\n  5 -> 19 [size =\"43705344\"]\n  5 -> 20 [size =\"43705344\"]\n  6 [size=\"92821504\", alpha=\"0.17\", expect_size=\"46410752\"] \n  6 -> 16 [size =\"46410752\"]\n  6 -> 20 [size =\"46410752\"]\n  7 [size=\"87175168\", alpha=\"0.03\", expect_size=\"43587584\"] \n  7 -> 17 [size =\"43587584\"]\n  7 -> 20 [size =\"43587584\"]\n  8 [size=\"63389696\", alpha=\"0.12\", expect_size=\"31694848\"] \n  8 -> 17 [size =\"31694848\"]\n  8 -> 18 [size =\"31694848\"]\n  8 -> 20 [size =\"31694848\"]\n  9 [size=\"29698048\", alpha=\"0.12\", expect_size=\"14849024\"] \n  9 -> 16 [size =\"14849024\"]\n  9 -> 17 [size =\"14849024\"]\n  9 -> 18 [size =\"14849024\"]\n  9 -> 20 [size =\"14849024\"]\n  10 [size=\"20963328\", alpha=\"0.06\", expect_size=\"10481664\"] \n  10 -> 16 [size =\"10481664\"]\n  10 -> 18 [size =\"10481664\"]\n  11 [size=\"10549248\", alpha=\"0.11\", expect_size=\"5274624\"] \n  11 -> 16 [size =\"5274624\"]\n  11 -> 18 [size =\"5274624\"]\n  12 [size=\"65120256\", alpha=\"0.05\", expect_size=\"32560128\"] \n  12 -> 16 [size =\"32560128\"]\n  12 -> 18 [size =\"32560128\"]\n  12 -> 20 [size =\"32560128\"]\n  13 [size=\"72314880\", alpha=\"0.16\", expect_size=\"36157440\"] \n  13 -> 16 [size =\"36157440\"]\n  13 -> 17 [size =\"36157440\"]\n  13 -> 18 [size =\"36157440\"]\n  13 -> 20 [size =\"36157440\"]\n  14 [size=\"99940352\", alpha=\"0.08\", expect_size=\"49970176\"] \n  14 -> 16 [size =\"49970176\"]\n  14 -> 18 [size =\"49970176\"]\n  14 -> 20 [size =\"49970176\"]\n  15 [size=\"65810432\", alpha=\"0.19\", expect_size=\"32905216\"] \n  15 -> 16 [size =\"32905216\"]\n  15 -> 19 [size =\"32905216\"]\n  15 -> 20 [size =\"32905216\"]\n  16 [size=\"94775296\", alpha=\"0.16\", expect_size=\"47387648\"] \n  17 [size=\"78798848\", alpha=\"0.03\", expect_size=\"39399424\"] \n  18 [size=\"91295744\", alpha=\"0.09\", expect_size=\"45647872\"] \n  19 [size=\"54661120\", alpha=\"0.18\", expect_size=\"27330560\"] \n  20 [size=\"18376704\", alpha=\"0.15\", expect_size=\"9188352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128832853\", alpha=\"0.15\", expect_size=\"38649856\"] \n  1 -> 11 [size =\"38649856\"]\n  1 -> 12 [size =\"38649856\"]\n  1 -> 14 [size =\"38649856\"]\n  1 -> 15 [size =\"38649856\"]\n  1 -> 16 [size =\"38649856\"]\n  2 [size=\"138567680\", alpha=\"0.01\", expect_size=\"41570304\"] \n  2 -> 11 [size =\"41570304\"]\n  2 -> 12 [size =\"41570304\"]\n  2 -> 16 [size =\"41570304\"]\n  3 [size=\"142923093\", alpha=\"0.19\", expect_size=\"42876928\"] \n  3 -> 11 [size =\"42876928\"]\n  3 -> 14 [size =\"42876928\"]\n  3 -> 16 [size =\"42876928\"]\n  3 -> 17 [size =\"42876928\"]\n  3 -> 18 [size =\"42876928\"]\n  4 [size=\"145343147\", alpha=\"0.06\", expect_size=\"43602944\"] \n  4 -> 14 [size =\"43602944\"]\n  4 -> 18 [size =\"43602944\"]\n  5 [size=\"87309653\", alpha=\"0.13\", expect_size=\"26192896\"] \n  5 -> 14 [size =\"26192896\"]\n  6 [size=\"159491413\", alpha=\"0.11\", expect_size=\"47847424\"] \n  6 -> 13 [size =\"47847424\"]\n  6 -> 16 [size =\"47847424\"]\n  6 -> 17 [size =\"47847424\"]\n  7 [size=\"137482240\", alpha=\"0.03\", expect_size=\"41244672\"] \n  7 -> 13 [size =\"41244672\"]\n  7 -> 14 [size =\"41244672\"]\n  7 -> 18 [size =\"41244672\"]\n  8 [size=\"169622187\", alpha=\"0.07\", expect_size=\"50886656\"] \n  8 -> 12 [size =\"50886656\"]\n  8 -> 15 [size =\"50886656\"]\n  8 -> 16 [size =\"50886656\"]\n  8 -> 18 [size =\"50886656\"]\n  9 [size=\"103782400\", alpha=\"0.01\", expect_size=\"31134720\"] \n  9 -> 11 [size =\"31134720\"]\n  9 -> 12 [size =\"31134720\"]\n  9 -> 13 [size =\"31134720\"]\n  9 -> 14 [size =\"31134720\"]\n  9 -> 17 [size =\"31134720\"]\n  9 -> 18 [size =\"31134720\"]\n  10 [size=\"44055893\", alpha=\"0.04\", expect_size=\"13216768\"] \n  10 -> 12 [size =\"13216768\"]\n  10 -> 13 [size =\"13216768\"]\n  10 -> 15 [size =\"13216768\"]\n  10 -> 16 [size =\"13216768\"]\n  10 -> 17 [size =\"13216768\"]\n  11 [size=\"98570240\", alpha=\"0.11\", expect_size=\"29571072\"] \n  11 -> 19 [size =\"29571072\"]\n  12 [size=\"58712747\", alpha=\"0.10\", expect_size=\"17613824\"] \n  12 -> 19 [size =\"17613824\"]\n  13 [size=\"64174080\", alpha=\"0.07\", expect_size=\"19252224\"] \n  13 -> 19 [size =\"19252224\"]\n  13 -> 20 [size =\"19252224\"]\n  14 [size=\"57838933\", alpha=\"0.03\", expect_size=\"17351680\"] \n  15 [size=\"102987093\", alpha=\"0.20\", expect_size=\"30896128\"] \n  15 -> 20 [size =\"30896128\"]\n  16 [size=\"49821013\", alpha=\"0.16\", expect_size=\"14946304\"] \n  16 -> 19 [size =\"14946304\"]\n  16 -> 20 [size =\"14946304\"]\n  17 [size=\"132553387\", alpha=\"0.01\", expect_size=\"39766016\"] \n  17 -> 19 [size =\"39766016\"]\n  17 -> 20 [size =\"39766016\"]\n  18 [size=\"159245653\", alpha=\"0.11\", expect_size=\"47773696\"] \n  18 -> 20 [size =\"47773696\"]\n  19 [size=\"53558613\", alpha=\"0.09\", expect_size=\"16067584\"] \n  20 [size=\"60955307\", alpha=\"0.12\", expect_size=\"18286592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43827200\", alpha=\"0.13\", expect_size=\"13148160\"] \n  1 -> 2 [size =\"13148160\"]\n  2 [size=\"160279893\", alpha=\"0.00\", expect_size=\"48083968\"] \n  2 -> 3 [size =\"48083968\"]\n  3 [size=\"134270293\", alpha=\"0.01\", expect_size=\"40281088\"] \n  3 -> 4 [size =\"40281088\"]\n  4 [size=\"122624000\", alpha=\"0.01\", expect_size=\"36787200\"] \n  4 -> 5 [size =\"36787200\"]\n  5 [size=\"115206827\", alpha=\"0.08\", expect_size=\"34562048\"] \n  5 -> 6 [size =\"34562048\"]\n  6 [size=\"153886720\", alpha=\"0.08\", expect_size=\"46166016\"] \n  6 -> 7 [size =\"46166016\"]\n  7 [size=\"161518933\", alpha=\"0.07\", expect_size=\"48455680\"] \n  7 -> 8 [size =\"48455680\"]\n  8 [size=\"57214293\", alpha=\"0.19\", expect_size=\"17164288\"] \n  8 -> 9 [size =\"17164288\"]\n  9 [size=\"119118507\", alpha=\"0.07\", expect_size=\"35735552\"] \n  9 -> 10 [size =\"35735552\"]\n  10 [size=\"152292693\", alpha=\"0.13\", expect_size=\"45687808\"] \n  10 -> 11 [size =\"45687808\"]\n  11 [size=\"94952107\", alpha=\"0.10\", expect_size=\"28485632\"] \n  11 -> 12 [size =\"28485632\"]\n  12 [size=\"38563840\", alpha=\"0.09\", expect_size=\"11569152\"] \n  12 -> 13 [size =\"11569152\"]\n  13 [size=\"39004160\", alpha=\"0.07\", expect_size=\"11701248\"] \n  13 -> 14 [size =\"11701248\"]\n  14 [size=\"50312533\", alpha=\"0.15\", expect_size=\"15093760\"] \n  14 -> 15 [size =\"15093760\"]\n  15 [size=\"57610240\", alpha=\"0.13\", expect_size=\"17283072\"] \n  15 -> 16 [size =\"17283072\"]\n  16 [size=\"119767040\", alpha=\"0.03\", expect_size=\"35930112\"] \n  16 -> 17 [size =\"35930112\"]\n  17 [size=\"23480320\", alpha=\"0.17\", expect_size=\"7044096\"] \n  17 -> 18 [size =\"7044096\"]\n  18 [size=\"79418027\", alpha=\"0.16\", expect_size=\"23825408\"] \n  18 -> 19 [size =\"23825408\"]\n  19 [size=\"75059200\", alpha=\"0.01\", expect_size=\"22517760\"] \n  19 -> 20 [size =\"22517760\"]\n  20 [size=\"128037547\", alpha=\"0.10\", expect_size=\"38411264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19409920\", alpha=\"0.15\", expect_size=\"7763968\"] \n  1 -> 2 [size =\"7763968\"]\n  1 -> 3 [size =\"7763968\"]\n  2 [size=\"102878720\", alpha=\"0.18\", expect_size=\"41151488\"] \n  2 -> 4 [size =\"41151488\"]\n  3 [size=\"28106240\", alpha=\"0.16\", expect_size=\"11242496\"] \n  3 -> 4 [size =\"11242496\"]\n  4 [size=\"102433280\", alpha=\"0.13\", expect_size=\"40973312\"] \n  4 -> 5 [size =\"40973312\"]\n  4 -> 6 [size =\"40973312\"]\n  5 [size=\"125089280\", alpha=\"0.01\", expect_size=\"50035712\"] \n  5 -> 7 [size =\"50035712\"]\n  5 -> 8 [size =\"50035712\"]\n  6 [size=\"114508800\", alpha=\"0.15\", expect_size=\"45803520\"] \n  6 -> 7 [size =\"45803520\"]\n  6 -> 8 [size =\"45803520\"]\n  7 [size=\"120570880\", alpha=\"0.03\", expect_size=\"48228352\"] \n  7 -> 9 [size =\"48228352\"]\n  7 -> 10 [size =\"48228352\"]\n  8 [size=\"98298880\", alpha=\"0.20\", expect_size=\"39319552\"] \n  8 -> 9 [size =\"39319552\"]\n  9 [size=\"107535360\", alpha=\"0.01\", expect_size=\"43014144\"] \n  9 -> 11 [size =\"43014144\"]\n  10 [size=\"75092480\", alpha=\"0.06\", expect_size=\"30036992\"] \n  11 [size=\"54384640\", alpha=\"0.01\", expect_size=\"21753856\"] \n  11 -> 12 [size =\"21753856\"]\n  11 -> 13 [size =\"21753856\"]\n  12 [size=\"24683520\", alpha=\"0.01\", expect_size=\"9873408\"] \n  12 -> 14 [size =\"9873408\"]\n  13 [size=\"128076800\", alpha=\"0.09\", expect_size=\"51230720\"] \n  14 [size=\"103687680\", alpha=\"0.10\", expect_size=\"41475072\"] \n  14 -> 15 [size =\"41475072\"]\n  14 -> 16 [size =\"41475072\"]\n  15 [size=\"59599360\", alpha=\"0.07\", expect_size=\"23839744\"] \n  15 -> 17 [size =\"23839744\"]\n  15 -> 18 [size =\"23839744\"]\n  16 [size=\"64230400\", alpha=\"0.10\", expect_size=\"25692160\"] \n  17 [size=\"36441600\", alpha=\"0.06\", expect_size=\"14576640\"] \n  18 [size=\"51394560\", alpha=\"0.14\", expect_size=\"20557824\"] \n  18 -> 19 [size =\"20557824\"]\n  19 [size=\"49064960\", alpha=\"0.20\", expect_size=\"19625984\"] \n  19 -> 20 [size =\"19625984\"]\n  20 [size=\"54453760\", alpha=\"0.03\", expect_size=\"21781504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24017920\", alpha=\"0.17\", expect_size=\"9607168\"] \n  1 -> 2 [size =\"9607168\"]\n  2 [size=\"27709440\", alpha=\"0.07\", expect_size=\"11083776\"] \n  2 -> 3 [size =\"11083776\"]\n  3 [size=\"129692160\", alpha=\"0.12\", expect_size=\"51876864\"] \n  3 -> 4 [size =\"51876864\"]\n  4 [size=\"76367360\", alpha=\"0.05\", expect_size=\"30546944\"] \n  4 -> 5 [size =\"30546944\"]\n  5 [size=\"126894080\", alpha=\"0.20\", expect_size=\"50757632\"] \n  5 -> 6 [size =\"50757632\"]\n  6 [size=\"108782080\", alpha=\"0.03\", expect_size=\"43512832\"] \n  6 -> 7 [size =\"43512832\"]\n  7 [size=\"86873600\", alpha=\"0.12\", expect_size=\"34749440\"] \n  7 -> 8 [size =\"34749440\"]\n  8 [size=\"73692160\", alpha=\"0.13\", expect_size=\"29476864\"] \n  8 -> 9 [size =\"29476864\"]\n  9 [size=\"97013760\", alpha=\"0.05\", expect_size=\"38805504\"] \n  9 -> 10 [size =\"38805504\"]\n  10 [size=\"72555520\", alpha=\"0.14\", expect_size=\"29022208\"] \n  10 -> 11 [size =\"29022208\"]\n  11 [size=\"83988480\", alpha=\"0.07\", expect_size=\"33595392\"] \n  11 -> 12 [size =\"33595392\"]\n  12 [size=\"65920000\", alpha=\"0.03\", expect_size=\"26368000\"] \n  12 -> 13 [size =\"26368000\"]\n  13 [size=\"108933120\", alpha=\"0.15\", expect_size=\"43573248\"] \n  13 -> 14 [size =\"43573248\"]\n  14 [size=\"62932480\", alpha=\"0.17\", expect_size=\"25172992\"] \n  14 -> 15 [size =\"25172992\"]\n  15 [size=\"90186240\", alpha=\"0.04\", expect_size=\"36074496\"] \n  15 -> 16 [size =\"36074496\"]\n  16 [size=\"89699840\", alpha=\"0.11\", expect_size=\"35879936\"] \n  16 -> 17 [size =\"35879936\"]\n  17 [size=\"107294720\", alpha=\"0.07\", expect_size=\"42917888\"] \n  17 -> 18 [size =\"42917888\"]\n  18 [size=\"62289920\", alpha=\"0.19\", expect_size=\"24915968\"] \n  18 -> 19 [size =\"24915968\"]\n  19 [size=\"19261440\", alpha=\"0.14\", expect_size=\"7704576\"] \n  19 -> 20 [size =\"7704576\"]\n  20 [size=\"48565760\", alpha=\"0.05\", expect_size=\"19426304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103396693\", alpha=\"0.06\", expect_size=\"31019008\"] \n  1 -> 3 [size =\"31019008\"]\n  2 [size=\"149944320\", alpha=\"0.15\", expect_size=\"44983296\"] \n  2 -> 4 [size =\"44983296\"]\n  3 [size=\"145448960\", alpha=\"0.08\", expect_size=\"43634688\"] \n  3 -> 5 [size =\"43634688\"]\n  4 [size=\"60398933\", alpha=\"0.09\", expect_size=\"18119680\"] \n  4 -> 5 [size =\"18119680\"]\n  5 [size=\"98416640\", alpha=\"0.04\", expect_size=\"29524992\"] \n  5 -> 6 [size =\"29524992\"]\n  6 [size=\"149818027\", alpha=\"0.19\", expect_size=\"44945408\"] \n  6 -> 7 [size =\"44945408\"]\n  7 [size=\"51391147\", alpha=\"0.04\", expect_size=\"15417344\"] \n  7 -> 8 [size =\"15417344\"]\n  8 [size=\"123129173\", alpha=\"0.12\", expect_size=\"36938752\"] \n  8 -> 9 [size =\"36938752\"]\n  9 [size=\"137468587\", alpha=\"0.10\", expect_size=\"41240576\"] \n  9 -> 10 [size =\"41240576\"]\n  10 [size=\"150142293\", alpha=\"0.06\", expect_size=\"45042688\"] \n  10 -> 11 [size =\"45042688\"]\n  11 [size=\"103806293\", alpha=\"0.20\", expect_size=\"31141888\"] \n  11 -> 12 [size =\"31141888\"]\n  12 [size=\"152183467\", alpha=\"0.19\", expect_size=\"45655040\"] \n  12 -> 13 [size =\"45655040\"]\n  12 -> 14 [size =\"45655040\"]\n  13 [size=\"113373867\", alpha=\"0.14\", expect_size=\"34012160\"] \n  13 -> 15 [size =\"34012160\"]\n  14 [size=\"174015147\", alpha=\"0.01\", expect_size=\"52204544\"] \n  15 [size=\"84616533\", alpha=\"0.08\", expect_size=\"25384960\"] \n  15 -> 16 [size =\"25384960\"]\n  16 [size=\"114957653\", alpha=\"0.11\", expect_size=\"34487296\"] \n  16 -> 17 [size =\"34487296\"]\n  16 -> 18 [size =\"34487296\"]\n  17 [size=\"107680427\", alpha=\"0.03\", expect_size=\"32304128\"] \n  17 -> 19 [size =\"32304128\"]\n  17 -> 20 [size =\"32304128\"]\n  18 [size=\"135359147\", alpha=\"0.02\", expect_size=\"40607744\"] \n  19 [size=\"70813013\", alpha=\"0.05\", expect_size=\"21243904\"] \n  20 [size=\"150746453\", alpha=\"0.14\", expect_size=\"45223936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50167808\", alpha=\"0.09\", expect_size=\"25083904\"] \n  1 -> 3 [size =\"25083904\"]\n  2 [size=\"61237248\", alpha=\"0.05\", expect_size=\"30618624\"] \n  2 -> 3 [size =\"30618624\"]\n  3 [size=\"82827264\", alpha=\"0.08\", expect_size=\"41413632\"] \n  3 -> 4 [size =\"41413632\"]\n  4 [size=\"27908096\", alpha=\"0.05\", expect_size=\"13954048\"] \n  4 -> 5 [size =\"13954048\"]\n  5 [size=\"40052736\", alpha=\"0.08\", expect_size=\"20026368\"] \n  5 -> 6 [size =\"20026368\"]\n  5 -> 7 [size =\"20026368\"]\n  6 [size=\"59318272\", alpha=\"0.12\", expect_size=\"29659136\"] \n  6 -> 8 [size =\"29659136\"]\n  7 [size=\"17907712\", alpha=\"0.01\", expect_size=\"8953856\"] \n  7 -> 8 [size =\"8953856\"]\n  8 [size=\"22927360\", alpha=\"0.09\", expect_size=\"11463680\"] \n  8 -> 9 [size =\"11463680\"]\n  9 [size=\"32995328\", alpha=\"0.13\", expect_size=\"16497664\"] \n  9 -> 10 [size =\"16497664\"]\n  9 -> 11 [size =\"16497664\"]\n  10 [size=\"15910912\", alpha=\"0.11\", expect_size=\"7955456\"] \n  10 -> 12 [size =\"7955456\"]\n  11 [size=\"75835392\", alpha=\"0.05\", expect_size=\"37917696\"] \n  11 -> 12 [size =\"37917696\"]\n  12 [size=\"25540608\", alpha=\"0.02\", expect_size=\"12770304\"] \n  12 -> 13 [size =\"12770304\"]\n  12 -> 14 [size =\"12770304\"]\n  13 [size=\"47319040\", alpha=\"0.10\", expect_size=\"23659520\"] \n  13 -> 15 [size =\"23659520\"]\n  13 -> 16 [size =\"23659520\"]\n  14 [size=\"87422976\", alpha=\"0.03\", expect_size=\"43711488\"] \n  14 -> 15 [size =\"43711488\"]\n  14 -> 16 [size =\"43711488\"]\n  15 [size=\"15314944\", alpha=\"0.00\", expect_size=\"7657472\"] \n  15 -> 17 [size =\"7657472\"]\n  15 -> 18 [size =\"7657472\"]\n  16 [size=\"54059008\", alpha=\"0.17\", expect_size=\"27029504\"] \n  16 -> 17 [size =\"27029504\"]\n  16 -> 18 [size =\"27029504\"]\n  17 [size=\"14403584\", alpha=\"0.15\", expect_size=\"7201792\"] \n  17 -> 19 [size =\"7201792\"]\n  17 -> 20 [size =\"7201792\"]\n  18 [size=\"20160512\", alpha=\"0.05\", expect_size=\"10080256\"] \n  18 -> 19 [size =\"10080256\"]\n  19 [size=\"63647744\", alpha=\"0.05\", expect_size=\"31823872\"] \n  20 [size=\"32083968\", alpha=\"0.05\", expect_size=\"16041984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20/random.20.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:44 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30737067\", alpha=\"0.09\", expect_size=\"9221120\"] \n  1 -> 13 [size =\"9221120\"]\n  1 -> 14 [size =\"9221120\"]\n  1 -> 18 [size =\"9221120\"]\n  2 [size=\"70761813\", alpha=\"0.12\", expect_size=\"21228544\"] \n  2 -> 13 [size =\"21228544\"]\n  2 -> 14 [size =\"21228544\"]\n  2 -> 18 [size =\"21228544\"]\n  3 [size=\"145250987\", alpha=\"0.09\", expect_size=\"43575296\"] \n  3 -> 13 [size =\"43575296\"]\n  3 -> 14 [size =\"43575296\"]\n  3 -> 15 [size =\"43575296\"]\n  4 [size=\"131846827\", alpha=\"0.10\", expect_size=\"39554048\"] \n  4 -> 13 [size =\"39554048\"]\n  4 -> 14 [size =\"39554048\"]\n  4 -> 18 [size =\"39554048\"]\n  4 -> 19 [size =\"39554048\"]\n  4 -> 20 [size =\"39554048\"]\n  5 [size=\"44284587\", alpha=\"0.08\", expect_size=\"13285376\"] \n  5 -> 13 [size =\"13285376\"]\n  5 -> 14 [size =\"13285376\"]\n  5 -> 17 [size =\"13285376\"]\n  5 -> 18 [size =\"13285376\"]\n  5 -> 19 [size =\"13285376\"]\n  5 -> 20 [size =\"13285376\"]\n  6 [size=\"74530133\", alpha=\"0.02\", expect_size=\"22359040\"] \n  6 -> 13 [size =\"22359040\"]\n  6 -> 14 [size =\"22359040\"]\n  6 -> 15 [size =\"22359040\"]\n  6 -> 17 [size =\"22359040\"]\n  6 -> 18 [size =\"22359040\"]\n  6 -> 19 [size =\"22359040\"]\n  6 -> 20 [size =\"22359040\"]\n  7 [size=\"23784107\", alpha=\"0.12\", expect_size=\"7135232\"] \n  7 -> 14 [size =\"7135232\"]\n  7 -> 15 [size =\"7135232\"]\n  7 -> 17 [size =\"7135232\"]\n  7 -> 18 [size =\"7135232\"]\n  7 -> 18 [size =\"7135232\"]\n  8 [size=\"75113813\", alpha=\"0.05\", expect_size=\"22534144\"] \n  8 -> 15 [size =\"22534144\"]\n  8 -> 15 [size =\"22534144\"]\n  8 -> 16 [size =\"22534144\"]\n  8 -> 18 [size =\"22534144\"]\n  9 [size=\"59275947\", alpha=\"0.04\", expect_size=\"17782784\"] \n  9 -> 14 [size =\"17782784\"]\n  9 -> 18 [size =\"17782784\"]\n  9 -> 19 [size =\"17782784\"]\n  10 [size=\"165577387\", alpha=\"0.09\", expect_size=\"49673216\"] \n  10 -> 13 [size =\"49673216\"]\n  10 -> 15 [size =\"49673216\"]\n  10 -> 16 [size =\"49673216\"]\n  10 -> 17 [size =\"49673216\"]\n  10 -> 18 [size =\"49673216\"]\n  10 -> 19 [size =\"49673216\"]\n  11 [size=\"151552000\", alpha=\"0.03\", expect_size=\"45465600\"] \n  11 -> 13 [size =\"45465600\"]\n  11 -> 14 [size =\"45465600\"]\n  11 -> 15 [size =\"45465600\"]\n  11 -> 16 [size =\"45465600\"]\n  11 -> 17 [size =\"45465600\"]\n  11 -> 18 [size =\"45465600\"]\n  11 -> 19 [size =\"45465600\"]\n  11 -> 20 [size =\"45465600\"]\n  12 [size=\"65897813\", alpha=\"0.20\", expect_size=\"19769344\"] \n  12 -> 13 [size =\"19769344\"]\n  12 -> 14 [size =\"19769344\"]\n  12 -> 15 [size =\"19769344\"]\n  12 -> 16 [size =\"19769344\"]\n  12 -> 19 [size =\"19769344\"]\n  13 [size=\"158713173\", alpha=\"0.19\", expect_size=\"47613952\"] \n  14 [size=\"72492373\", alpha=\"0.18\", expect_size=\"21747712\"] \n  15 [size=\"153716053\", alpha=\"0.05\", expect_size=\"46114816\"] \n  16 [size=\"58077867\", alpha=\"0.08\", expect_size=\"17423360\"] \n  17 [size=\"70591147\", alpha=\"0.08\", expect_size=\"21177344\"] \n  18 [size=\"161447253\", alpha=\"0.12\", expect_size=\"48434176\"] \n  19 [size=\"44612267\", alpha=\"0.08\", expect_size=\"13383680\"] \n  20 [size=\"73745067\", alpha=\"0.04\", expect_size=\"22123520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78292480\", alpha=\"0.01\", expect_size=\"31316992\"] \n  2 [size=\"80872960\", alpha=\"0.18\", expect_size=\"32349184\"] \n  2 -> 3 [size =\"32349184\"]\n  3 [size=\"72074240\", alpha=\"0.19\", expect_size=\"28829696\"] \n  3 -> 4 [size =\"28829696\"]\n  4 [size=\"84124160\", alpha=\"0.06\", expect_size=\"33649664\"] \n  4 -> 5 [size =\"33649664\"]\n  4 -> 6 [size =\"33649664\"]\n  5 [size=\"101145600\", alpha=\"0.14\", expect_size=\"40458240\"] \n  6 [size=\"126031360\", alpha=\"0.10\", expect_size=\"50412544\"] \n  6 -> 7 [size =\"50412544\"]\n  7 [size=\"27896320\", alpha=\"0.06\", expect_size=\"11158528\"] \n  7 -> 8 [size =\"11158528\"]\n  8 [size=\"70384640\", alpha=\"0.13\", expect_size=\"28153856\"] \n  8 -> 9 [size =\"28153856\"]\n  9 [size=\"98792960\", alpha=\"0.04\", expect_size=\"39517184\"] \n  9 -> 10 [size =\"39517184\"]\n  10 [size=\"95744000\", alpha=\"0.19\", expect_size=\"38297600\"] \n  10 -> 11 [size =\"38297600\"]\n  11 [size=\"41968640\", alpha=\"0.18\", expect_size=\"16787456\"] \n  11 -> 12 [size =\"16787456\"]\n  11 -> 13 [size =\"16787456\"]\n  12 [size=\"46479360\", alpha=\"0.20\", expect_size=\"18591744\"] \n  13 [size=\"37506560\", alpha=\"0.12\", expect_size=\"15002624\"] \n  13 -> 14 [size =\"15002624\"]\n  13 -> 15 [size =\"15002624\"]\n  14 [size=\"28866560\", alpha=\"0.06\", expect_size=\"11546624\"] \n  14 -> 16 [size =\"11546624\"]\n  14 -> 17 [size =\"11546624\"]\n  15 [size=\"61550080\", alpha=\"0.01\", expect_size=\"24620032\"] \n  16 [size=\"28175360\", alpha=\"0.01\", expect_size=\"11270144\"] \n  16 -> 18 [size =\"11270144\"]\n  17 [size=\"88166400\", alpha=\"0.05\", expect_size=\"35266560\"] \n  17 -> 18 [size =\"35266560\"]\n  17 -> 19 [size =\"35266560\"]\n  18 [size=\"125680640\", alpha=\"0.14\", expect_size=\"50272256\"] \n  18 -> 20 [size =\"50272256\"]\n  19 [size=\"85020160\", alpha=\"0.05\", expect_size=\"34008064\"] \n  20 [size=\"105730560\", alpha=\"0.14\", expect_size=\"42292224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15613952\", alpha=\"0.15\", expect_size=\"7806976\"] \n  1 -> 6 [size =\"7806976\"]\n  1 -> 7 [size =\"7806976\"]\n  2 [size=\"27826176\", alpha=\"0.03\", expect_size=\"13913088\"] \n  2 -> 6 [size =\"13913088\"]\n  2 -> 7 [size =\"13913088\"]\n  3 [size=\"17637376\", alpha=\"0.01\", expect_size=\"8818688\"] \n  4 [size=\"45789184\", alpha=\"0.12\", expect_size=\"22894592\"] \n  4 -> 5 [size =\"22894592\"]\n  5 [size=\"99823616\", alpha=\"0.13\", expect_size=\"49911808\"] \n  5 -> 9 [size =\"49911808\"]\n  6 [size=\"76800000\", alpha=\"0.07\", expect_size=\"38400000\"] \n  6 -> 8 [size =\"38400000\"]\n  6 -> 9 [size =\"38400000\"]\n  6 -> 11 [size =\"38400000\"]\n  7 [size=\"73973760\", alpha=\"0.13\", expect_size=\"36986880\"] \n  7 -> 10 [size =\"36986880\"]\n  8 [size=\"68628480\", alpha=\"0.01\", expect_size=\"34314240\"] \n  8 -> 12 [size =\"34314240\"]\n  8 -> 14 [size =\"34314240\"]\n  9 [size=\"32272384\", alpha=\"0.11\", expect_size=\"16136192\"] \n  9 -> 13 [size =\"16136192\"]\n  9 -> 14 [size =\"16136192\"]\n  10 [size=\"12191744\", alpha=\"0.06\", expect_size=\"6095872\"] \n  10 -> 12 [size =\"6095872\"]\n  10 -> 13 [size =\"6095872\"]\n  11 [size=\"27428864\", alpha=\"0.12\", expect_size=\"13714432\"] \n  12 [size=\"98465792\", alpha=\"0.12\", expect_size=\"49232896\"] \n  13 [size=\"20291584\", alpha=\"0.15\", expect_size=\"10145792\"] \n  13 -> 15 [size =\"10145792\"]\n  13 -> 17 [size =\"10145792\"]\n  13 -> 18 [size =\"10145792\"]\n  14 [size=\"23093248\", alpha=\"0.13\", expect_size=\"11546624\"] \n  14 -> 16 [size =\"11546624\"]\n  14 -> 17 [size =\"11546624\"]\n  15 [size=\"79296512\", alpha=\"0.07\", expect_size=\"39648256\"] \n  15 -> 19 [size =\"39648256\"]\n  15 -> 20 [size =\"39648256\"]\n  16 [size=\"44900352\", alpha=\"0.04\", expect_size=\"22450176\"] \n  16 -> 19 [size =\"22450176\"]\n  17 [size=\"76341248\", alpha=\"0.08\", expect_size=\"38170624\"] \n  18 [size=\"43526144\", alpha=\"0.16\", expect_size=\"21763072\"] \n  18 -> 20 [size =\"21763072\"]\n  19 [size=\"49975296\", alpha=\"0.13\", expect_size=\"24987648\"] \n  20 [size=\"102713344\", alpha=\"0.00\", expect_size=\"51356672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87470080\", alpha=\"0.14\", expect_size=\"26241024\"] \n  2 [size=\"157515093\", alpha=\"0.08\", expect_size=\"47254528\"] \n  2 -> 7 [size =\"47254528\"]\n  3 [size=\"20029440\", alpha=\"0.16\", expect_size=\"6008832\"] \n  3 -> 5 [size =\"6008832\"]\n  3 -> 6 [size =\"6008832\"]\n  3 -> 8 [size =\"6008832\"]\n  4 [size=\"148439040\", alpha=\"0.20\", expect_size=\"44531712\"] \n  5 [size=\"171830613\", alpha=\"0.01\", expect_size=\"51549184\"] \n  5 -> 11 [size =\"51549184\"]\n  6 [size=\"116094293\", alpha=\"0.20\", expect_size=\"34828288\"] \n  7 [size=\"121313280\", alpha=\"0.02\", expect_size=\"36393984\"] \n  7 -> 9 [size =\"36393984\"]\n  7 -> 10 [size =\"36393984\"]\n  8 [size=\"130891093\", alpha=\"0.05\", expect_size=\"39267328\"] \n  8 -> 10 [size =\"39267328\"]\n  8 -> 10 [size =\"39267328\"]\n  8 -> 11 [size =\"39267328\"]\n  9 [size=\"60545707\", alpha=\"0.20\", expect_size=\"18163712\"] \n  9 -> 12 [size =\"18163712\"]\n  9 -> 13 [size =\"18163712\"]\n  9 -> 15 [size =\"18163712\"]\n  10 [size=\"85787307\", alpha=\"0.20\", expect_size=\"25736192\"] \n  10 -> 12 [size =\"25736192\"]\n  10 -> 14 [size =\"25736192\"]\n  11 [size=\"71338667\", alpha=\"0.20\", expect_size=\"21401600\"] \n  11 -> 12 [size =\"21401600\"]\n  11 -> 13 [size =\"21401600\"]\n  11 -> 15 [size =\"21401600\"]\n  12 [size=\"24446293\", alpha=\"0.05\", expect_size=\"7333888\"] \n  13 [size=\"85582507\", alpha=\"0.05\", expect_size=\"25674752\"] \n  13 -> 17 [size =\"25674752\"]\n  14 [size=\"57371307\", alpha=\"0.07\", expect_size=\"17211392\"] \n  14 -> 16 [size =\"17211392\"]\n  14 -> 17 [size =\"17211392\"]\n  15 [size=\"53838507\", alpha=\"0.06\", expect_size=\"16151552\"] \n  16 [size=\"58555733\", alpha=\"0.18\", expect_size=\"17566720\"] \n  16 -> 18 [size =\"17566720\"]\n  16 -> 19 [size =\"17566720\"]\n  17 [size=\"58190507\", alpha=\"0.02\", expect_size=\"17457152\"] \n  17 -> 18 [size =\"17457152\"]\n  17 -> 20 [size =\"17457152\"]\n  18 [size=\"77728427\", alpha=\"0.08\", expect_size=\"23318528\"] \n  19 [size=\"116916907\", alpha=\"0.11\", expect_size=\"35075072\"] \n  20 [size=\"114234027\", alpha=\"0.09\", expect_size=\"34270208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85235200\", alpha=\"0.12\", expect_size=\"34094080\"] \n  2 [size=\"103329280\", alpha=\"0.08\", expect_size=\"41331712\"] \n  2 -> 12 [size =\"41331712\"]\n  3 [size=\"106060800\", alpha=\"0.18\", expect_size=\"42424320\"] \n  3 -> 8 [size =\"42424320\"]\n  4 [size=\"47912960\", alpha=\"0.02\", expect_size=\"19165184\"] \n  4 -> 8 [size =\"19165184\"]\n  4 -> 9 [size =\"19165184\"]\n  4 -> 10 [size =\"19165184\"]\n  4 -> 11 [size =\"19165184\"]\n  4 -> 12 [size =\"19165184\"]\n  5 [size=\"95936000\", alpha=\"0.13\", expect_size=\"38374400\"] \n  5 -> 8 [size =\"38374400\"]\n  5 -> 9 [size =\"38374400\"]\n  5 -> 10 [size =\"38374400\"]\n  5 -> 11 [size =\"38374400\"]\n  6 [size=\"120975360\", alpha=\"0.19\", expect_size=\"48390144\"] \n  6 -> 9 [size =\"48390144\"]\n  6 -> 10 [size =\"48390144\"]\n  6 -> 11 [size =\"48390144\"]\n  6 -> 12 [size =\"48390144\"]\n  7 [size=\"49530880\", alpha=\"0.00\", expect_size=\"19812352\"] \n  7 -> 8 [size =\"19812352\"]\n  7 -> 12 [size =\"19812352\"]\n  8 [size=\"78914560\", alpha=\"0.18\", expect_size=\"31565824\"] \n  8 -> 13 [size =\"31565824\"]\n  8 -> 14 [size =\"31565824\"]\n  8 -> 15 [size =\"31565824\"]\n  8 -> 19 [size =\"31565824\"]\n  9 [size=\"53795840\", alpha=\"0.09\", expect_size=\"21518336\"] \n  9 -> 14 [size =\"21518336\"]\n  9 -> 16 [size =\"21518336\"]\n  10 [size=\"109532160\", alpha=\"0.18\", expect_size=\"43812864\"] \n  10 -> 13 [size =\"43812864\"]\n  10 -> 15 [size =\"43812864\"]\n  10 -> 18 [size =\"43812864\"]\n  11 [size=\"13808640\", alpha=\"0.03\", expect_size=\"5523456\"] \n  11 -> 13 [size =\"5523456\"]\n  11 -> 17 [size =\"5523456\"]\n  12 [size=\"85370880\", alpha=\"0.13\", expect_size=\"34148352\"] \n  12 -> 15 [size =\"34148352\"]\n  12 -> 16 [size =\"34148352\"]\n  12 -> 19 [size =\"34148352\"]\n  13 [size=\"13749760\", alpha=\"0.00\", expect_size=\"5499904\"] \n  13 -> 20 [size =\"5499904\"]\n  14 [size=\"121955840\", alpha=\"0.06\", expect_size=\"48782336\"] \n  15 [size=\"13670400\", alpha=\"0.17\", expect_size=\"5468160\"] \n  16 [size=\"88053760\", alpha=\"0.06\", expect_size=\"35221504\"] \n  17 [size=\"80983040\", alpha=\"0.10\", expect_size=\"32393216\"] \n  18 [size=\"83655680\", alpha=\"0.07\", expect_size=\"33462272\"] \n  19 [size=\"68963840\", alpha=\"0.19\", expect_size=\"27585536\"] \n  20 [size=\"121692160\", alpha=\"0.15\", expect_size=\"48676864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39069013\", alpha=\"0.06\", expect_size=\"11720704\"] \n  2 [size=\"123443200\", alpha=\"0.18\", expect_size=\"37032960\"] \n  2 -> 3 [size =\"37032960\"]\n  2 -> 4 [size =\"37032960\"]\n  3 [size=\"134099627\", alpha=\"0.01\", expect_size=\"40229888\"] \n  3 -> 6 [size =\"40229888\"]\n  4 [size=\"29655040\", alpha=\"0.05\", expect_size=\"8896512\"] \n  4 -> 5 [size =\"8896512\"]\n  5 [size=\"110588587\", alpha=\"0.04\", expect_size=\"33176576\"] \n  5 -> 7 [size =\"33176576\"]\n  6 [size=\"166376107\", alpha=\"0.10\", expect_size=\"49912832\"] \n  6 -> 8 [size =\"49912832\"]\n  6 -> 9 [size =\"49912832\"]\n  7 [size=\"139963733\", alpha=\"0.01\", expect_size=\"41989120\"] \n  7 -> 12 [size =\"41989120\"]\n  8 [size=\"53971627\", alpha=\"0.04\", expect_size=\"16191488\"] \n  8 -> 11 [size =\"16191488\"]\n  9 [size=\"59224747\", alpha=\"0.11\", expect_size=\"17767424\"] \n  9 -> 10 [size =\"17767424\"]\n  9 -> 11 [size =\"17767424\"]\n  10 [size=\"134519467\", alpha=\"0.17\", expect_size=\"40355840\"] \n  10 -> 15 [size =\"40355840\"]\n  11 [size=\"111530667\", alpha=\"0.09\", expect_size=\"33459200\"] \n  11 -> 14 [size =\"33459200\"]\n  11 -> 15 [size =\"33459200\"]\n  11 -> 16 [size =\"33459200\"]\n  12 [size=\"159604053\", alpha=\"0.03\", expect_size=\"47881216\"] \n  12 -> 13 [size =\"47881216\"]\n  13 [size=\"143400960\", alpha=\"0.03\", expect_size=\"43020288\"] \n  13 -> 17 [size =\"43020288\"]\n  13 -> 18 [size =\"43020288\"]\n  14 [size=\"153364480\", alpha=\"0.03\", expect_size=\"46009344\"] \n  15 [size=\"33143467\", alpha=\"0.14\", expect_size=\"9943040\"] \n  15 -> 17 [size =\"9943040\"]\n  15 -> 18 [size =\"9943040\"]\n  15 -> 19 [size =\"9943040\"]\n  16 [size=\"66396160\", alpha=\"0.14\", expect_size=\"19918848\"] \n  16 -> 19 [size =\"19918848\"]\n  17 [size=\"147056640\", alpha=\"0.19\", expect_size=\"44116992\"] \n  17 -> 20 [size =\"44116992\"]\n  18 [size=\"151077547\", alpha=\"0.13\", expect_size=\"45323264\"] \n  19 [size=\"27422720\", alpha=\"0.08\", expect_size=\"8226816\"] \n  20 [size=\"112585387\", alpha=\"0.16\", expect_size=\"33775616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115725653\", alpha=\"0.01\", expect_size=\"34717696\"] \n  1 -> 5 [size =\"34717696\"]\n  1 -> 6 [size =\"34717696\"]\n  1 -> 7 [size =\"34717696\"]\n  2 [size=\"74639360\", alpha=\"0.13\", expect_size=\"22391808\"] \n  2 -> 4 [size =\"22391808\"]\n  2 -> 5 [size =\"22391808\"]\n  2 -> 6 [size =\"22391808\"]\n  2 -> 7 [size =\"22391808\"]\n  3 [size=\"128996693\", alpha=\"0.15\", expect_size=\"38699008\"] \n  3 -> 4 [size =\"38699008\"]\n  3 -> 5 [size =\"38699008\"]\n  4 [size=\"41844053\", alpha=\"0.13\", expect_size=\"12553216\"] \n  4 -> 8 [size =\"12553216\"]\n  4 -> 9 [size =\"12553216\"]\n  5 [size=\"50384213\", alpha=\"0.07\", expect_size=\"15115264\"] \n  5 -> 8 [size =\"15115264\"]\n  5 -> 9 [size =\"15115264\"]\n  6 [size=\"85350400\", alpha=\"0.17\", expect_size=\"25605120\"] \n  6 -> 8 [size =\"25605120\"]\n  6 -> 9 [size =\"25605120\"]\n  7 [size=\"79233707\", alpha=\"0.09\", expect_size=\"23770112\"] \n  7 -> 8 [size =\"23770112\"]\n  7 -> 9 [size =\"23770112\"]\n  7 -> 10 [size =\"23770112\"]\n  8 [size=\"109554347\", alpha=\"0.07\", expect_size=\"32866304\"] \n  8 -> 11 [size =\"32866304\"]\n  8 -> 12 [size =\"32866304\"]\n  8 -> 13 [size =\"32866304\"]\n  9 [size=\"162891093\", alpha=\"0.15\", expect_size=\"48867328\"] \n  9 -> 12 [size =\"48867328\"]\n  9 -> 13 [size =\"48867328\"]\n  10 [size=\"44731733\", alpha=\"0.05\", expect_size=\"13419520\"] \n  10 -> 12 [size =\"13419520\"]\n  10 -> 13 [size =\"13419520\"]\n  11 [size=\"43769173\", alpha=\"0.04\", expect_size=\"13130752\"] \n  11 -> 14 [size =\"13130752\"]\n  11 -> 15 [size =\"13130752\"]\n  12 [size=\"54603093\", alpha=\"0.07\", expect_size=\"16380928\"] \n  12 -> 14 [size =\"16380928\"]\n  13 [size=\"153060693\", alpha=\"0.01\", expect_size=\"45918208\"] \n  13 -> 14 [size =\"45918208\"]\n  14 [size=\"114800640\", alpha=\"0.14\", expect_size=\"34440192\"] \n  14 -> 16 [size =\"34440192\"]\n  14 -> 17 [size =\"34440192\"]\n  14 -> 18 [size =\"34440192\"]\n  15 [size=\"63450453\", alpha=\"0.15\", expect_size=\"19035136\"] \n  15 -> 17 [size =\"19035136\"]\n  15 -> 18 [size =\"19035136\"]\n  16 [size=\"121722880\", alpha=\"0.18\", expect_size=\"36516864\"] \n  16 -> 19 [size =\"36516864\"]\n  16 -> 20 [size =\"36516864\"]\n  17 [size=\"98938880\", alpha=\"0.09\", expect_size=\"29681664\"] \n  17 -> 19 [size =\"29681664\"]\n  18 [size=\"167198720\", alpha=\"0.11\", expect_size=\"50159616\"] \n  18 -> 19 [size =\"50159616\"]\n  19 [size=\"67826347\", alpha=\"0.03\", expect_size=\"20347904\"] \n  20 [size=\"29791573\", alpha=\"0.18\", expect_size=\"8937472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38108160\", alpha=\"0.05\", expect_size=\"15243264\"] \n  1 -> 3 [size =\"15243264\"]\n  2 [size=\"37775360\", alpha=\"0.06\", expect_size=\"15110144\"] \n  2 -> 3 [size =\"15110144\"]\n  3 [size=\"19829760\", alpha=\"0.11\", expect_size=\"7931904\"] \n  3 -> 4 [size =\"7931904\"]\n  4 [size=\"54487040\", alpha=\"0.11\", expect_size=\"21794816\"] \n  4 -> 5 [size =\"21794816\"]\n  5 [size=\"117760000\", alpha=\"0.15\", expect_size=\"47104000\"] \n  5 -> 6 [size =\"47104000\"]\n  6 [size=\"108198400\", alpha=\"0.01\", expect_size=\"43279360\"] \n  6 -> 7 [size =\"43279360\"]\n  7 [size=\"15582720\", alpha=\"0.04\", expect_size=\"6233088\"] \n  7 -> 8 [size =\"6233088\"]\n  7 -> 9 [size =\"6233088\"]\n  8 [size=\"84482560\", alpha=\"0.12\", expect_size=\"33793024\"] \n  9 [size=\"123614720\", alpha=\"0.05\", expect_size=\"49445888\"] \n  9 -> 10 [size =\"49445888\"]\n  10 [size=\"104829440\", alpha=\"0.09\", expect_size=\"41931776\"] \n  10 -> 11 [size =\"41931776\"]\n  11 [size=\"122416640\", alpha=\"0.18\", expect_size=\"48966656\"] \n  11 -> 12 [size =\"48966656\"]\n  12 [size=\"36277760\", alpha=\"0.13\", expect_size=\"14511104\"] \n  12 -> 13 [size =\"14511104\"]\n  13 [size=\"72102400\", alpha=\"0.10\", expect_size=\"28840960\"] \n  13 -> 14 [size =\"28840960\"]\n  13 -> 15 [size =\"28840960\"]\n  14 [size=\"21268480\", alpha=\"0.13\", expect_size=\"8507392\"] \n  14 -> 16 [size =\"8507392\"]\n  14 -> 17 [size =\"8507392\"]\n  15 [size=\"86297600\", alpha=\"0.05\", expect_size=\"34519040\"] \n  15 -> 16 [size =\"34519040\"]\n  16 [size=\"57244160\", alpha=\"0.02\", expect_size=\"22897664\"] \n  16 -> 18 [size =\"22897664\"]\n  17 [size=\"64263680\", alpha=\"0.07\", expect_size=\"25705472\"] \n  18 [size=\"90455040\", alpha=\"0.12\", expect_size=\"36182016\"] \n  18 -> 19 [size =\"36182016\"]\n  19 [size=\"45365760\", alpha=\"0.05\", expect_size=\"18146304\"] \n  19 -> 20 [size =\"18146304\"]\n  20 [size=\"75970560\", alpha=\"0.06\", expect_size=\"30388224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48234496\", alpha=\"0.09\", expect_size=\"24117248\"] \n  1 -> 2 [size =\"24117248\"]\n  2 [size=\"61773824\", alpha=\"0.06\", expect_size=\"30886912\"] \n  2 -> 3 [size =\"30886912\"]\n  3 [size=\"67434496\", alpha=\"0.01\", expect_size=\"33717248\"] \n  3 -> 4 [size =\"33717248\"]\n  4 [size=\"29818880\", alpha=\"0.14\", expect_size=\"14909440\"] \n  4 -> 5 [size =\"14909440\"]\n  5 [size=\"84662272\", alpha=\"0.11\", expect_size=\"42331136\"] \n  5 -> 6 [size =\"42331136\"]\n  6 [size=\"14606336\", alpha=\"0.17\", expect_size=\"7303168\"] \n  6 -> 7 [size =\"7303168\"]\n  7 [size=\"24477696\", alpha=\"0.17\", expect_size=\"12238848\"] \n  7 -> 8 [size =\"12238848\"]\n  8 [size=\"63766528\", alpha=\"0.20\", expect_size=\"31883264\"] \n  8 -> 9 [size =\"31883264\"]\n  9 [size=\"14157824\", alpha=\"0.01\", expect_size=\"7078912\"] \n  9 -> 10 [size =\"7078912\"]\n  10 [size=\"67989504\", alpha=\"0.04\", expect_size=\"33994752\"] \n  10 -> 11 [size =\"33994752\"]\n  11 [size=\"70557696\", alpha=\"0.02\", expect_size=\"35278848\"] \n  11 -> 12 [size =\"35278848\"]\n  12 [size=\"19214336\", alpha=\"0.03\", expect_size=\"9607168\"] \n  12 -> 13 [size =\"9607168\"]\n  13 [size=\"47665152\", alpha=\"0.01\", expect_size=\"23832576\"] \n  13 -> 14 [size =\"23832576\"]\n  14 [size=\"53581824\", alpha=\"0.01\", expect_size=\"26790912\"] \n  14 -> 15 [size =\"26790912\"]\n  15 [size=\"24938496\", alpha=\"0.18\", expect_size=\"12469248\"] \n  15 -> 16 [size =\"12469248\"]\n  16 [size=\"76773376\", alpha=\"0.18\", expect_size=\"38386688\"] \n  16 -> 17 [size =\"38386688\"]\n  17 [size=\"62857216\", alpha=\"0.08\", expect_size=\"31428608\"] \n  17 -> 18 [size =\"31428608\"]\n  18 [size=\"48723968\", alpha=\"0.07\", expect_size=\"24361984\"] \n  18 -> 19 [size =\"24361984\"]\n  19 [size=\"47740928\", alpha=\"0.09\", expect_size=\"23870464\"] \n  19 -> 20 [size =\"23870464\"]\n  20 [size=\"52746240\", alpha=\"0.01\", expect_size=\"26373120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33712128\", alpha=\"0.05\", expect_size=\"16856064\"] \n  1 -> 3 [size =\"16856064\"]\n  1 -> 4 [size =\"16856064\"]\n  1 -> 5 [size =\"16856064\"]\n  1 -> 6 [size =\"16856064\"]\n  2 [size=\"89280512\", alpha=\"0.02\", expect_size=\"44640256\"] \n  2 -> 6 [size =\"44640256\"]\n  3 [size=\"33417216\", alpha=\"0.02\", expect_size=\"16708608\"] \n  3 -> 10 [size =\"16708608\"]\n  4 [size=\"48263168\", alpha=\"0.11\", expect_size=\"24131584\"] \n  5 [size=\"97464320\", alpha=\"0.04\", expect_size=\"48732160\"] \n  5 -> 8 [size =\"48732160\"]\n  6 [size=\"69048320\", alpha=\"0.11\", expect_size=\"34524160\"] \n  6 -> 7 [size =\"34524160\"]\n  6 -> 8 [size =\"34524160\"]\n  6 -> 9 [size =\"34524160\"]\n  7 [size=\"98897920\", alpha=\"0.09\", expect_size=\"49448960\"] \n  7 -> 12 [size =\"49448960\"]\n  7 -> 13 [size =\"49448960\"]\n  7 -> 14 [size =\"49448960\"]\n  8 [size=\"30572544\", alpha=\"0.09\", expect_size=\"15286272\"] \n  8 -> 14 [size =\"15286272\"]\n  9 [size=\"51679232\", alpha=\"0.04\", expect_size=\"25839616\"] \n  9 -> 11 [size =\"25839616\"]\n  9 -> 12 [size =\"25839616\"]\n  9 -> 14 [size =\"25839616\"]\n  10 [size=\"15745024\", alpha=\"0.14\", expect_size=\"7872512\"] \n  11 [size=\"61474816\", alpha=\"0.19\", expect_size=\"30737408\"] \n  11 -> 15 [size =\"30737408\"]\n  12 [size=\"82739200\", alpha=\"0.08\", expect_size=\"41369600\"] \n  12 -> 16 [size =\"41369600\"]\n  13 [size=\"93034496\", alpha=\"0.12\", expect_size=\"46517248\"] \n  13 -> 15 [size =\"46517248\"]\n  14 [size=\"104728576\", alpha=\"0.18\", expect_size=\"52364288\"] \n  14 -> 16 [size =\"52364288\"]\n  14 -> 17 [size =\"52364288\"]\n  15 [size=\"62404608\", alpha=\"0.11\", expect_size=\"31202304\"] \n  15 -> 18 [size =\"31202304\"]\n  16 [size=\"80287744\", alpha=\"0.17\", expect_size=\"40143872\"] \n  16 -> 19 [size =\"40143872\"]\n  17 [size=\"35733504\", alpha=\"0.11\", expect_size=\"17866752\"] \n  17 -> 18 [size =\"17866752\"]\n  17 -> 20 [size =\"17866752\"]\n  18 [size=\"77477888\", alpha=\"0.20\", expect_size=\"38738944\"] \n  19 [size=\"26497024\", alpha=\"0.10\", expect_size=\"13248512\"] \n  20 [size=\"44693504\", alpha=\"0.12\", expect_size=\"22346752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79736832\", alpha=\"0.11\", expect_size=\"39868416\"] \n  1 -> 13 [size =\"39868416\"]\n  1 -> 14 [size =\"39868416\"]\n  1 -> 17 [size =\"39868416\"]\n  2 [size=\"60092416\", alpha=\"0.07\", expect_size=\"30046208\"] \n  2 -> 13 [size =\"30046208\"]\n  2 -> 17 [size =\"30046208\"]\n  2 -> 20 [size =\"30046208\"]\n  3 [size=\"91478016\", alpha=\"0.10\", expect_size=\"45739008\"] \n  3 -> 14 [size =\"45739008\"]\n  3 -> 18 [size =\"45739008\"]\n  4 [size=\"32741376\", alpha=\"0.01\", expect_size=\"16370688\"] \n  4 -> 18 [size =\"16370688\"]\n  5 [size=\"63092736\", alpha=\"0.01\", expect_size=\"31546368\"] \n  5 -> 16 [size =\"31546368\"]\n  5 -> 18 [size =\"31546368\"]\n  6 [size=\"47509504\", alpha=\"0.16\", expect_size=\"23754752\"] \n  6 -> 13 [size =\"23754752\"]\n  6 -> 15 [size =\"23754752\"]\n  6 -> 17 [size =\"23754752\"]\n  6 -> 20 [size =\"23754752\"]\n  7 [size=\"27977728\", alpha=\"0.14\", expect_size=\"13988864\"] \n  7 -> 13 [size =\"13988864\"]\n  7 -> 20 [size =\"13988864\"]\n  8 [size=\"68354048\", alpha=\"0.01\", expect_size=\"34177024\"] \n  8 -> 14 [size =\"34177024\"]\n  9 [size=\"95035392\", alpha=\"0.11\", expect_size=\"47517696\"] \n  9 -> 15 [size =\"47517696\"]\n  9 -> 16 [size =\"47517696\"]\n  9 -> 17 [size =\"47517696\"]\n  9 -> 18 [size =\"47517696\"]\n  10 [size=\"70815744\", alpha=\"0.13\", expect_size=\"35407872\"] \n  10 -> 14 [size =\"35407872\"]\n  10 -> 17 [size =\"35407872\"]\n  10 -> 20 [size =\"35407872\"]\n  11 [size=\"82282496\", alpha=\"0.10\", expect_size=\"41141248\"] \n  11 -> 13 [size =\"41141248\"]\n  11 -> 14 [size =\"41141248\"]\n  11 -> 15 [size =\"41141248\"]\n  11 -> 17 [size =\"41141248\"]\n  11 -> 18 [size =\"41141248\"]\n  11 -> 20 [size =\"41141248\"]\n  12 [size=\"37724160\", alpha=\"0.06\", expect_size=\"18862080\"] \n  12 -> 13 [size =\"18862080\"]\n  12 -> 15 [size =\"18862080\"]\n  12 -> 17 [size =\"18862080\"]\n  12 -> 17 [size =\"18862080\"]\n  12 -> 19 [size =\"18862080\"]\n  12 -> 20 [size =\"18862080\"]\n  13 [size=\"70273024\", alpha=\"0.04\", expect_size=\"35136512\"] \n  14 [size=\"24459264\", alpha=\"0.15\", expect_size=\"12229632\"] \n  15 [size=\"27928576\", alpha=\"0.17\", expect_size=\"13964288\"] \n  16 [size=\"33566720\", alpha=\"0.02\", expect_size=\"16783360\"] \n  17 [size=\"14465024\", alpha=\"0.07\", expect_size=\"7232512\"] \n  18 [size=\"78188544\", alpha=\"0.18\", expect_size=\"39094272\"] \n  19 [size=\"83845120\", alpha=\"0.09\", expect_size=\"41922560\"] \n  20 [size=\"42686464\", alpha=\"0.14\", expect_size=\"21343232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110382080\", alpha=\"0.05\", expect_size=\"44152832\"] \n  1 -> 2 [size =\"44152832\"]\n  1 -> 3 [size =\"44152832\"]\n  2 [size=\"85575680\", alpha=\"0.14\", expect_size=\"34230272\"] \n  2 -> 4 [size =\"34230272\"]\n  3 [size=\"56156160\", alpha=\"0.04\", expect_size=\"22462464\"] \n  3 -> 4 [size =\"22462464\"]\n  4 [size=\"28815360\", alpha=\"0.07\", expect_size=\"11526144\"] \n  4 -> 5 [size =\"11526144\"]\n  5 [size=\"122547200\", alpha=\"0.06\", expect_size=\"49018880\"] \n  5 -> 6 [size =\"49018880\"]\n  6 [size=\"17059840\", alpha=\"0.17\", expect_size=\"6823936\"] \n  6 -> 7 [size =\"6823936\"]\n  6 -> 8 [size =\"6823936\"]\n  7 [size=\"58293760\", alpha=\"0.18\", expect_size=\"23317504\"] \n  8 [size=\"125294080\", alpha=\"0.06\", expect_size=\"50117632\"] \n  8 -> 9 [size =\"50117632\"]\n  8 -> 10 [size =\"50117632\"]\n  9 [size=\"65428480\", alpha=\"0.08\", expect_size=\"26171392\"] \n  9 -> 11 [size =\"26171392\"]\n  10 [size=\"108385280\", alpha=\"0.06\", expect_size=\"43354112\"] \n  11 [size=\"48547840\", alpha=\"0.12\", expect_size=\"19419136\"] \n  11 -> 12 [size =\"19419136\"]\n  12 [size=\"76288000\", alpha=\"0.11\", expect_size=\"30515200\"] \n  12 -> 13 [size =\"30515200\"]\n  13 [size=\"38958080\", alpha=\"0.12\", expect_size=\"15583232\"] \n  13 -> 14 [size =\"15583232\"]\n  14 [size=\"62691840\", alpha=\"0.01\", expect_size=\"25076736\"] \n  14 -> 15 [size =\"25076736\"]\n  15 [size=\"104296960\", alpha=\"0.05\", expect_size=\"41718784\"] \n  15 -> 16 [size =\"41718784\"]\n  15 -> 17 [size =\"41718784\"]\n  16 [size=\"24384000\", alpha=\"0.10\", expect_size=\"9753600\"] \n  16 -> 18 [size =\"9753600\"]\n  16 -> 19 [size =\"9753600\"]\n  17 [size=\"122680320\", alpha=\"0.18\", expect_size=\"49072128\"] \n  17 -> 18 [size =\"49072128\"]\n  18 [size=\"110487040\", alpha=\"0.02\", expect_size=\"44194816\"] \n  18 -> 20 [size =\"44194816\"]\n  19 [size=\"28349440\", alpha=\"0.06\", expect_size=\"11339776\"] \n  19 -> 20 [size =\"11339776\"]\n  20 [size=\"73310720\", alpha=\"0.07\", expect_size=\"29324288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77816320\", alpha=\"0.05\", expect_size=\"31126528\"] \n  1 -> 6 [size =\"31126528\"]\n  1 -> 7 [size =\"31126528\"]\n  2 [size=\"46279680\", alpha=\"0.07\", expect_size=\"18511872\"] \n  2 -> 5 [size =\"18511872\"]\n  2 -> 6 [size =\"18511872\"]\n  2 -> 7 [size =\"18511872\"]\n  3 [size=\"68761600\", alpha=\"0.19\", expect_size=\"27504640\"] \n  3 -> 6 [size =\"27504640\"]\n  3 -> 6 [size =\"27504640\"]\n  4 [size=\"127587840\", alpha=\"0.03\", expect_size=\"51035136\"] \n  5 [size=\"56166400\", alpha=\"0.17\", expect_size=\"22466560\"] \n  6 [size=\"27000320\", alpha=\"0.11\", expect_size=\"10800128\"] \n  6 -> 8 [size =\"10800128\"]\n  6 -> 9 [size =\"10800128\"]\n  7 [size=\"38814720\", alpha=\"0.15\", expect_size=\"15525888\"] \n  7 -> 9 [size =\"15525888\"]\n  7 -> 9 [size =\"15525888\"]\n  7 -> 10 [size =\"15525888\"]\n  8 [size=\"96849920\", alpha=\"0.13\", expect_size=\"38739968\"] \n  8 -> 12 [size =\"38739968\"]\n  8 -> 13 [size =\"38739968\"]\n  8 -> 14 [size =\"38739968\"]\n  9 [size=\"84520960\", alpha=\"0.18\", expect_size=\"33808384\"] \n  9 -> 11 [size =\"33808384\"]\n  9 -> 12 [size =\"33808384\"]\n  9 -> 13 [size =\"33808384\"]\n  9 -> 14 [size =\"33808384\"]\n  10 [size=\"93854720\", alpha=\"0.08\", expect_size=\"37541888\"] \n  10 -> 12 [size =\"37541888\"]\n  10 -> 13 [size =\"37541888\"]\n  10 -> 14 [size =\"37541888\"]\n  11 [size=\"101204480\", alpha=\"0.19\", expect_size=\"40481792\"] \n  11 -> 16 [size =\"40481792\"]\n  11 -> 17 [size =\"40481792\"]\n  12 [size=\"130726400\", alpha=\"0.12\", expect_size=\"52290560\"] \n  12 -> 15 [size =\"52290560\"]\n  12 -> 16 [size =\"52290560\"]\n  13 [size=\"51827200\", alpha=\"0.10\", expect_size=\"20730880\"] \n  13 -> 15 [size =\"20730880\"]\n  13 -> 16 [size =\"20730880\"]\n  14 [size=\"43458560\", alpha=\"0.09\", expect_size=\"17383424\"] \n  14 -> 15 [size =\"17383424\"]\n  14 -> 16 [size =\"17383424\"]\n  15 [size=\"58516480\", alpha=\"0.07\", expect_size=\"23406592\"] \n  15 -> 18 [size =\"23406592\"]\n  16 [size=\"40988160\", alpha=\"0.06\", expect_size=\"16395264\"] \n  16 -> 18 [size =\"16395264\"]\n  17 [size=\"107146240\", alpha=\"0.10\", expect_size=\"42858496\"] \n  17 -> 18 [size =\"42858496\"]\n  17 -> 19 [size =\"42858496\"]\n  17 -> 20 [size =\"42858496\"]\n  18 [size=\"79249920\", alpha=\"0.01\", expect_size=\"31699968\"] \n  19 [size=\"40778240\", alpha=\"0.09\", expect_size=\"16311296\"] \n  20 [size=\"29765120\", alpha=\"0.16\", expect_size=\"11906048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117777067\", alpha=\"0.03\", expect_size=\"35333120\"] \n  1 -> 6 [size =\"35333120\"]\n  2 [size=\"86405120\", alpha=\"0.03\", expect_size=\"25921536\"] \n  3 [size=\"140223147\", alpha=\"0.10\", expect_size=\"42066944\"] \n  3 -> 5 [size =\"42066944\"]\n  4 [size=\"57419093\", alpha=\"0.18\", expect_size=\"17225728\"] \n  4 -> 5 [size =\"17225728\"]\n  4 -> 6 [size =\"17225728\"]\n  4 -> 7 [size =\"17225728\"]\n  5 [size=\"21831680\", alpha=\"0.07\", expect_size=\"6549504\"] \n  5 -> 8 [size =\"6549504\"]\n  5 -> 11 [size =\"6549504\"]\n  6 [size=\"35915093\", alpha=\"0.09\", expect_size=\"10774528\"] \n  7 [size=\"153347413\", alpha=\"0.16\", expect_size=\"46004224\"] \n  7 -> 9 [size =\"46004224\"]\n  7 -> 10 [size =\"46004224\"]\n  8 [size=\"128423253\", alpha=\"0.10\", expect_size=\"38526976\"] \n  8 -> 12 [size =\"38526976\"]\n  8 -> 14 [size =\"38526976\"]\n  8 -> 15 [size =\"38526976\"]\n  9 [size=\"30402560\", alpha=\"0.15\", expect_size=\"9120768\"] \n  10 [size=\"139799893\", alpha=\"0.05\", expect_size=\"41939968\"] \n  10 -> 13 [size =\"41939968\"]\n  11 [size=\"112158720\", alpha=\"0.09\", expect_size=\"33647616\"] \n  11 -> 14 [size =\"33647616\"]\n  12 [size=\"138816853\", alpha=\"0.10\", expect_size=\"41645056\"] \n  13 [size=\"163590827\", alpha=\"0.16\", expect_size=\"49077248\"] \n  13 -> 18 [size =\"49077248\"]\n  13 -> 19 [size =\"49077248\"]\n  14 [size=\"85661013\", alpha=\"0.04\", expect_size=\"25698304\"] \n  14 -> 16 [size =\"25698304\"]\n  14 -> 17 [size =\"25698304\"]\n  14 -> 18 [size =\"25698304\"]\n  15 [size=\"68075520\", alpha=\"0.09\", expect_size=\"20422656\"] \n  15 -> 16 [size =\"20422656\"]\n  15 -> 17 [size =\"20422656\"]\n  16 [size=\"123456853\", alpha=\"0.17\", expect_size=\"37037056\"] \n  17 [size=\"36263253\", alpha=\"0.00\", expect_size=\"10878976\"] \n  17 -> 20 [size =\"10878976\"]\n  18 [size=\"158972587\", alpha=\"0.03\", expect_size=\"47691776\"] \n  18 -> 20 [size =\"47691776\"]\n  19 [size=\"81551360\", alpha=\"0.18\", expect_size=\"24465408\"] \n  20 [size=\"40130560\", alpha=\"0.11\", expect_size=\"12039168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151511040\", alpha=\"0.16\", expect_size=\"45453312\"] \n  1 -> 7 [size =\"45453312\"]\n  2 [size=\"49349973\", alpha=\"0.03\", expect_size=\"14804992\"] \n  2 -> 5 [size =\"14804992\"]\n  2 -> 6 [size =\"14804992\"]\n  3 [size=\"170963627\", alpha=\"0.18\", expect_size=\"51289088\"] \n  3 -> 5 [size =\"51289088\"]\n  3 -> 6 [size =\"51289088\"]\n  4 [size=\"59241813\", alpha=\"0.09\", expect_size=\"17772544\"] \n  4 -> 5 [size =\"17772544\"]\n  4 -> 6 [size =\"17772544\"]\n  4 -> 7 [size =\"17772544\"]\n  5 [size=\"147623253\", alpha=\"0.14\", expect_size=\"44286976\"] \n  5 -> 9 [size =\"44286976\"]\n  5 -> 10 [size =\"44286976\"]\n  6 [size=\"38642347\", alpha=\"0.18\", expect_size=\"11592704\"] \n  6 -> 8 [size =\"11592704\"]\n  6 -> 9 [size =\"11592704\"]\n  7 [size=\"152852480\", alpha=\"0.06\", expect_size=\"45855744\"] \n  7 -> 9 [size =\"45855744\"]\n  8 [size=\"45967360\", alpha=\"0.05\", expect_size=\"13790208\"] \n  8 -> 12 [size =\"13790208\"]\n  8 -> 14 [size =\"13790208\"]\n  9 [size=\"124122453\", alpha=\"0.11\", expect_size=\"37236736\"] \n  9 -> 11 [size =\"37236736\"]\n  9 -> 12 [size =\"37236736\"]\n  9 -> 13 [size =\"37236736\"]\n  9 -> 14 [size =\"37236736\"]\n  10 [size=\"138407253\", alpha=\"0.14\", expect_size=\"41522176\"] \n  10 -> 11 [size =\"41522176\"]\n  10 -> 13 [size =\"41522176\"]\n  10 -> 14 [size =\"41522176\"]\n  11 [size=\"85678080\", alpha=\"0.05\", expect_size=\"25703424\"] \n  11 -> 15 [size =\"25703424\"]\n  12 [size=\"50435413\", alpha=\"0.09\", expect_size=\"15130624\"] \n  12 -> 15 [size =\"15130624\"]\n  12 -> 17 [size =\"15130624\"]\n  13 [size=\"72267093\", alpha=\"0.01\", expect_size=\"21680128\"] \n  13 -> 16 [size =\"21680128\"]\n  14 [size=\"54207147\", alpha=\"0.19\", expect_size=\"16262144\"] \n  15 [size=\"124525227\", alpha=\"0.13\", expect_size=\"37357568\"] \n  15 -> 19 [size =\"37357568\"]\n  15 -> 20 [size =\"37357568\"]\n  16 [size=\"79127893\", alpha=\"0.02\", expect_size=\"23738368\"] \n  16 -> 19 [size =\"23738368\"]\n  16 -> 20 [size =\"23738368\"]\n  17 [size=\"65710080\", alpha=\"0.05\", expect_size=\"19713024\"] \n  17 -> 18 [size =\"19713024\"]\n  17 -> 19 [size =\"19713024\"]\n  18 [size=\"114592427\", alpha=\"0.15\", expect_size=\"34377728\"] \n  19 [size=\"152616960\", alpha=\"0.17\", expect_size=\"45785088\"] \n  20 [size=\"80295253\", alpha=\"0.12\", expect_size=\"24088576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93384704\", alpha=\"0.15\", expect_size=\"46692352\"] \n  1 -> 2 [size =\"46692352\"]\n  2 [size=\"56465408\", alpha=\"0.01\", expect_size=\"28232704\"] \n  2 -> 3 [size =\"28232704\"]\n  2 -> 4 [size =\"28232704\"]\n  3 [size=\"92545024\", alpha=\"0.17\", expect_size=\"46272512\"] \n  3 -> 5 [size =\"46272512\"]\n  4 [size=\"73951232\", alpha=\"0.02\", expect_size=\"36975616\"] \n  4 -> 5 [size =\"36975616\"]\n  5 [size=\"33925120\", alpha=\"0.04\", expect_size=\"16962560\"] \n  5 -> 6 [size =\"16962560\"]\n  6 [size=\"47331328\", alpha=\"0.11\", expect_size=\"23665664\"] \n  6 -> 7 [size =\"23665664\"]\n  7 [size=\"59420672\", alpha=\"0.16\", expect_size=\"29710336\"] \n  7 -> 8 [size =\"29710336\"]\n  7 -> 9 [size =\"29710336\"]\n  8 [size=\"61067264\", alpha=\"0.07\", expect_size=\"30533632\"] \n  8 -> 10 [size =\"30533632\"]\n  8 -> 11 [size =\"30533632\"]\n  9 [size=\"26978304\", alpha=\"0.05\", expect_size=\"13489152\"] \n  9 -> 10 [size =\"13489152\"]\n  9 -> 11 [size =\"13489152\"]\n  10 [size=\"49840128\", alpha=\"0.11\", expect_size=\"24920064\"] \n  10 -> 12 [size =\"24920064\"]\n  10 -> 13 [size =\"24920064\"]\n  11 [size=\"72452096\", alpha=\"0.15\", expect_size=\"36226048\"] \n  11 -> 12 [size =\"36226048\"]\n  12 [size=\"48992256\", alpha=\"0.19\", expect_size=\"24496128\"] \n  12 -> 14 [size =\"24496128\"]\n  12 -> 15 [size =\"24496128\"]\n  13 [size=\"52572160\", alpha=\"0.04\", expect_size=\"26286080\"] \n  14 [size=\"39548928\", alpha=\"0.11\", expect_size=\"19774464\"] \n  14 -> 16 [size =\"19774464\"]\n  15 [size=\"50001920\", alpha=\"0.13\", expect_size=\"25000960\"] \n  15 -> 16 [size =\"25000960\"]\n  16 [size=\"71174144\", alpha=\"0.12\", expect_size=\"35587072\"] \n  16 -> 17 [size =\"35587072\"]\n  16 -> 18 [size =\"35587072\"]\n  17 [size=\"28268544\", alpha=\"0.05\", expect_size=\"14134272\"] \n  17 -> 19 [size =\"14134272\"]\n  18 [size=\"102316032\", alpha=\"0.00\", expect_size=\"51158016\"] \n  18 -> 19 [size =\"51158016\"]\n  19 [size=\"42489856\", alpha=\"0.13\", expect_size=\"21244928\"] \n  19 -> 20 [size =\"21244928\"]\n  20 [size=\"65781760\", alpha=\"0.06\", expect_size=\"32890880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78149120\", alpha=\"0.05\", expect_size=\"31259648\"] \n  1 -> 5 [size =\"31259648\"]\n  1 -> 8 [size =\"31259648\"]\n  2 [size=\"72276480\", alpha=\"0.05\", expect_size=\"28910592\"] \n  2 -> 5 [size =\"28910592\"]\n  2 -> 6 [size =\"28910592\"]\n  2 -> 8 [size =\"28910592\"]\n  3 [size=\"47377920\", alpha=\"0.17\", expect_size=\"18951168\"] \n  3 -> 6 [size =\"18951168\"]\n  3 -> 6 [size =\"18951168\"]\n  3 -> 7 [size =\"18951168\"]\n  3 -> 8 [size =\"18951168\"]\n  4 [size=\"55127040\", alpha=\"0.02\", expect_size=\"22050816\"] \n  4 -> 9 [size =\"22050816\"]\n  5 [size=\"14205440\", alpha=\"0.07\", expect_size=\"5682176\"] \n  5 -> 10 [size =\"5682176\"]\n  5 -> 11 [size =\"5682176\"]\n  6 [size=\"13893120\", alpha=\"0.05\", expect_size=\"5557248\"] \n  6 -> 11 [size =\"5557248\"]\n  7 [size=\"60976640\", alpha=\"0.11\", expect_size=\"24390656\"] \n  7 -> 10 [size =\"24390656\"]\n  7 -> 12 [size =\"24390656\"]\n  7 -> 13 [size =\"24390656\"]\n  8 [size=\"90657280\", alpha=\"0.18\", expect_size=\"36262912\"] \n  8 -> 13 [size =\"36262912\"]\n  9 [size=\"13798400\", alpha=\"0.09\", expect_size=\"5519360\"] \n  9 -> 10 [size =\"5519360\"]\n  9 -> 12 [size =\"5519360\"]\n  9 -> 13 [size =\"5519360\"]\n  10 [size=\"126128640\", alpha=\"0.06\", expect_size=\"50451456\"] \n  10 -> 14 [size =\"50451456\"]\n  10 -> 16 [size =\"50451456\"]\n  10 -> 17 [size =\"50451456\"]\n  11 [size=\"112353280\", alpha=\"0.02\", expect_size=\"44941312\"] \n  12 [size=\"21079040\", alpha=\"0.13\", expect_size=\"8431616\"] \n  12 -> 15 [size =\"8431616\"]\n  13 [size=\"51545600\", alpha=\"0.15\", expect_size=\"20618240\"] \n  14 [size=\"32655360\", alpha=\"0.17\", expect_size=\"13062144\"] \n  14 -> 18 [size =\"13062144\"]\n  14 -> 20 [size =\"13062144\"]\n  15 [size=\"45739520\", alpha=\"0.10\", expect_size=\"18295808\"] \n  15 -> 18 [size =\"18295808\"]\n  15 -> 19 [size =\"18295808\"]\n  15 -> 20 [size =\"18295808\"]\n  16 [size=\"87900160\", alpha=\"0.17\", expect_size=\"35160064\"] \n  16 -> 19 [size =\"35160064\"]\n  16 -> 19 [size =\"35160064\"]\n  17 [size=\"118909440\", alpha=\"0.03\", expect_size=\"47563776\"] \n  17 -> 18 [size =\"47563776\"]\n  18 [size=\"67468800\", alpha=\"0.12\", expect_size=\"26987520\"] \n  19 [size=\"56038400\", alpha=\"0.16\", expect_size=\"22415360\"] \n  20 [size=\"107916800\", alpha=\"0.15\", expect_size=\"43166720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160000000\", alpha=\"0.15\", expect_size=\"48000000\"] \n  1 -> 15 [size =\"48000000\"]\n  1 -> 18 [size =\"48000000\"]\n  2 [size=\"173045760\", alpha=\"0.16\", expect_size=\"51913728\"] \n  2 -> 17 [size =\"51913728\"]\n  2 -> 19 [size =\"51913728\"]\n  3 [size=\"113138347\", alpha=\"0.15\", expect_size=\"33941504\"] \n  3 -> 15 [size =\"33941504\"]\n  3 -> 16 [size =\"33941504\"]\n  3 -> 19 [size =\"33941504\"]\n  4 [size=\"113343147\", alpha=\"0.19\", expect_size=\"34002944\"] \n  4 -> 15 [size =\"34002944\"]\n  5 [size=\"70027947\", alpha=\"0.09\", expect_size=\"21008384\"] \n  6 [size=\"101143893\", alpha=\"0.03\", expect_size=\"30343168\"] \n  6 -> 15 [size =\"30343168\"]\n  7 [size=\"118889813\", alpha=\"0.03\", expect_size=\"35666944\"] \n  8 [size=\"39591253\", alpha=\"0.10\", expect_size=\"11877376\"] \n  8 -> 19 [size =\"11877376\"]\n  9 [size=\"106888533\", alpha=\"0.01\", expect_size=\"32066560\"] \n  9 -> 15 [size =\"32066560\"]\n  10 [size=\"115585707\", alpha=\"0.16\", expect_size=\"34675712\"] \n  10 -> 15 [size =\"34675712\"]\n  10 -> 18 [size =\"34675712\"]\n  11 [size=\"80462507\", alpha=\"0.07\", expect_size=\"24138752\"] \n  11 -> 15 [size =\"24138752\"]\n  11 -> 19 [size =\"24138752\"]\n  12 [size=\"41000960\", alpha=\"0.17\", expect_size=\"12300288\"] \n  12 -> 15 [size =\"12300288\"]\n  12 -> 19 [size =\"12300288\"]\n  13 [size=\"168949760\", alpha=\"0.11\", expect_size=\"50684928\"] \n  13 -> 15 [size =\"50684928\"]\n  14 [size=\"133328213\", alpha=\"0.19\", expect_size=\"39998464\"] \n  14 -> 15 [size =\"39998464\"]\n  14 -> 20 [size =\"39998464\"]\n  15 [size=\"123678720\", alpha=\"0.09\", expect_size=\"37103616\"] \n  16 [size=\"39994027\", alpha=\"0.09\", expect_size=\"11998208\"] \n  17 [size=\"67229013\", alpha=\"0.08\", expect_size=\"20168704\"] \n  18 [size=\"92125867\", alpha=\"0.13\", expect_size=\"27637760\"] \n  19 [size=\"172267520\", alpha=\"0.10\", expect_size=\"51680256\"] \n  20 [size=\"26251947\", alpha=\"0.17\", expect_size=\"7875584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38375424\", alpha=\"0.01\", expect_size=\"19187712\"] \n  1 -> 2 [size =\"19187712\"]\n  2 [size=\"94437376\", alpha=\"0.10\", expect_size=\"47218688\"] \n  2 -> 3 [size =\"47218688\"]\n  3 [size=\"104441856\", alpha=\"0.05\", expect_size=\"52220928\"] \n  3 -> 4 [size =\"52220928\"]\n  4 [size=\"35033088\", alpha=\"0.15\", expect_size=\"17516544\"] \n  4 -> 5 [size =\"17516544\"]\n  5 [size=\"92057600\", alpha=\"0.18\", expect_size=\"46028800\"] \n  5 -> 6 [size =\"46028800\"]\n  6 [size=\"103284736\", alpha=\"0.13\", expect_size=\"51642368\"] \n  6 -> 7 [size =\"51642368\"]\n  7 [size=\"47218688\", alpha=\"0.01\", expect_size=\"23609344\"] \n  7 -> 8 [size =\"23609344\"]\n  8 [size=\"27928576\", alpha=\"0.04\", expect_size=\"13964288\"] \n  8 -> 9 [size =\"13964288\"]\n  9 [size=\"79486976\", alpha=\"0.04\", expect_size=\"39743488\"] \n  9 -> 10 [size =\"39743488\"]\n  10 [size=\"64067584\", alpha=\"0.11\", expect_size=\"32033792\"] \n  10 -> 11 [size =\"32033792\"]\n  11 [size=\"17254400\", alpha=\"0.13\", expect_size=\"8627200\"] \n  11 -> 12 [size =\"8627200\"]\n  12 [size=\"24160256\", alpha=\"0.17\", expect_size=\"12080128\"] \n  12 -> 13 [size =\"12080128\"]\n  13 [size=\"69464064\", alpha=\"0.02\", expect_size=\"34732032\"] \n  13 -> 14 [size =\"34732032\"]\n  14 [size=\"95125504\", alpha=\"0.05\", expect_size=\"47562752\"] \n  14 -> 15 [size =\"47562752\"]\n  15 [size=\"70754304\", alpha=\"0.18\", expect_size=\"35377152\"] \n  15 -> 16 [size =\"35377152\"]\n  16 [size=\"61304832\", alpha=\"0.09\", expect_size=\"30652416\"] \n  16 -> 17 [size =\"30652416\"]\n  17 [size=\"27822080\", alpha=\"0.05\", expect_size=\"13911040\"] \n  17 -> 18 [size =\"13911040\"]\n  18 [size=\"30773248\", alpha=\"0.20\", expect_size=\"15386624\"] \n  18 -> 19 [size =\"15386624\"]\n  19 [size=\"51992576\", alpha=\"0.11\", expect_size=\"25996288\"] \n  19 -> 20 [size =\"25996288\"]\n  20 [size=\"68618240\", alpha=\"0.04\", expect_size=\"34309120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168734720\", alpha=\"0.07\", expect_size=\"50620416\"] \n  1 -> 6 [size =\"50620416\"]\n  2 [size=\"103758507\", alpha=\"0.15\", expect_size=\"31127552\"] \n  2 -> 6 [size =\"31127552\"]\n  3 [size=\"94245547\", alpha=\"0.16\", expect_size=\"28273664\"] \n  3 -> 7 [size =\"28273664\"]\n  4 [size=\"152890027\", alpha=\"0.02\", expect_size=\"45867008\"] \n  4 -> 5 [size =\"45867008\"]\n  4 -> 7 [size =\"45867008\"]\n  5 [size=\"58200747\", alpha=\"0.09\", expect_size=\"17460224\"] \n  5 -> 8 [size =\"17460224\"]\n  6 [size=\"45199360\", alpha=\"0.12\", expect_size=\"13559808\"] \n  6 -> 9 [size =\"13559808\"]\n  7 [size=\"120654507\", alpha=\"0.08\", expect_size=\"36196352\"] \n  7 -> 8 [size =\"36196352\"]\n  7 -> 9 [size =\"36196352\"]\n  8 [size=\"38741333\", alpha=\"0.07\", expect_size=\"11622400\"] \n  8 -> 10 [size =\"11622400\"]\n  8 -> 11 [size =\"11622400\"]\n  8 -> 12 [size =\"11622400\"]\n  9 [size=\"149080747\", alpha=\"0.16\", expect_size=\"44724224\"] \n  10 [size=\"167348907\", alpha=\"0.16\", expect_size=\"50204672\"] \n  10 -> 13 [size =\"50204672\"]\n  10 -> 14 [size =\"50204672\"]\n  10 -> 16 [size =\"50204672\"]\n  10 -> 17 [size =\"50204672\"]\n  11 [size=\"68495360\", alpha=\"0.05\", expect_size=\"20548608\"] \n  11 -> 13 [size =\"20548608\"]\n  11 -> 15 [size =\"20548608\"]\n  11 -> 17 [size =\"20548608\"]\n  12 [size=\"120231253\", alpha=\"0.02\", expect_size=\"36069376\"] \n  12 -> 14 [size =\"36069376\"]\n  13 [size=\"81756160\", alpha=\"0.05\", expect_size=\"24526848\"] \n  13 -> 18 [size =\"24526848\"]\n  13 -> 19 [size =\"24526848\"]\n  13 -> 20 [size =\"24526848\"]\n  14 [size=\"50018987\", alpha=\"0.08\", expect_size=\"15005696\"] \n  14 -> 18 [size =\"15005696\"]\n  14 -> 19 [size =\"15005696\"]\n  14 -> 20 [size =\"15005696\"]\n  15 [size=\"63546027\", alpha=\"0.05\", expect_size=\"19063808\"] \n  16 [size=\"131232427\", alpha=\"0.14\", expect_size=\"39369728\"] \n  16 -> 18 [size =\"39369728\"]\n  16 -> 19 [size =\"39369728\"]\n  16 -> 20 [size =\"39369728\"]\n  17 [size=\"71488853\", alpha=\"0.02\", expect_size=\"21446656\"] \n  18 [size=\"134615040\", alpha=\"0.01\", expect_size=\"40384512\"] \n  19 [size=\"35751253\", alpha=\"0.14\", expect_size=\"10725376\"] \n  20 [size=\"161378987\", alpha=\"0.12\", expect_size=\"48413696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27805696\", alpha=\"0.09\", expect_size=\"13902848\"] \n  2 [size=\"78229504\", alpha=\"0.12\", expect_size=\"39114752\"] \n  2 -> 6 [size =\"39114752\"]\n  2 -> 7 [size =\"39114752\"]\n  2 -> 8 [size =\"39114752\"]\n  3 [size=\"37926912\", alpha=\"0.06\", expect_size=\"18963456\"] \n  3 -> 6 [size =\"18963456\"]\n  3 -> 7 [size =\"18963456\"]\n  4 [size=\"84137984\", alpha=\"0.02\", expect_size=\"42068992\"] \n  4 -> 6 [size =\"42068992\"]\n  5 [size=\"24254464\", alpha=\"0.11\", expect_size=\"12127232\"] \n  6 [size=\"84621312\", alpha=\"0.17\", expect_size=\"42310656\"] \n  6 -> 9 [size =\"42310656\"]\n  6 -> 10 [size =\"42310656\"]\n  7 [size=\"21471232\", alpha=\"0.16\", expect_size=\"10735616\"] \n  8 [size=\"60295168\", alpha=\"0.20\", expect_size=\"30147584\"] \n  8 -> 10 [size =\"30147584\"]\n  8 -> 11 [size =\"30147584\"]\n  8 -> 12 [size =\"30147584\"]\n  9 [size=\"64348160\", alpha=\"0.05\", expect_size=\"32174080\"] \n  10 [size=\"38090752\", alpha=\"0.12\", expect_size=\"19045376\"] \n  10 -> 13 [size =\"19045376\"]\n  11 [size=\"20488192\", alpha=\"0.14\", expect_size=\"10244096\"] \n  11 -> 15 [size =\"10244096\"]\n  12 [size=\"62029824\", alpha=\"0.00\", expect_size=\"31014912\"] \n  12 -> 14 [size =\"31014912\"]\n  12 -> 15 [size =\"31014912\"]\n  13 [size=\"22335488\", alpha=\"0.05\", expect_size=\"11167744\"] \n  14 [size=\"48904192\", alpha=\"0.06\", expect_size=\"24452096\"] \n  14 -> 16 [size =\"24452096\"]\n  14 -> 18 [size =\"24452096\"]\n  15 [size=\"59705344\", alpha=\"0.09\", expect_size=\"29852672\"] \n  15 -> 17 [size =\"29852672\"]\n  16 [size=\"19566592\", alpha=\"0.06\", expect_size=\"9783296\"] \n  16 -> 20 [size =\"9783296\"]\n  17 [size=\"100880384\", alpha=\"0.14\", expect_size=\"50440192\"] \n  18 [size=\"83855360\", alpha=\"0.16\", expect_size=\"41927680\"] \n  18 -> 19 [size =\"41927680\"]\n  19 [size=\"83591168\", alpha=\"0.17\", expect_size=\"41795584\"] \n  20 [size=\"12791808\", alpha=\"0.06\", expect_size=\"6395904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30976000\", alpha=\"0.16\", expect_size=\"15488000\"] \n  1 -> 2 [size =\"15488000\"]\n  2 [size=\"67254272\", alpha=\"0.07\", expect_size=\"33627136\"] \n  2 -> 3 [size =\"33627136\"]\n  3 [size=\"32839680\", alpha=\"0.06\", expect_size=\"16419840\"] \n  3 -> 4 [size =\"16419840\"]\n  4 [size=\"22071296\", alpha=\"0.18\", expect_size=\"11035648\"] \n  4 -> 5 [size =\"11035648\"]\n  5 [size=\"29526016\", alpha=\"0.20\", expect_size=\"14763008\"] \n  5 -> 6 [size =\"14763008\"]\n  6 [size=\"97355776\", alpha=\"0.08\", expect_size=\"48677888\"] \n  6 -> 7 [size =\"48677888\"]\n  7 [size=\"66285568\", alpha=\"0.16\", expect_size=\"33142784\"] \n  7 -> 8 [size =\"33142784\"]\n  8 [size=\"98945024\", alpha=\"0.08\", expect_size=\"49472512\"] \n  8 -> 9 [size =\"49472512\"]\n  9 [size=\"84731904\", alpha=\"0.02\", expect_size=\"42365952\"] \n  9 -> 10 [size =\"42365952\"]\n  10 [size=\"29728768\", alpha=\"0.12\", expect_size=\"14864384\"] \n  10 -> 11 [size =\"14864384\"]\n  11 [size=\"26341376\", alpha=\"0.00\", expect_size=\"13170688\"] \n  11 -> 12 [size =\"13170688\"]\n  12 [size=\"99670016\", alpha=\"0.02\", expect_size=\"49835008\"] \n  12 -> 13 [size =\"49835008\"]\n  13 [size=\"37396480\", alpha=\"0.20\", expect_size=\"18698240\"] \n  13 -> 14 [size =\"18698240\"]\n  14 [size=\"66465792\", alpha=\"0.16\", expect_size=\"33232896\"] \n  14 -> 15 [size =\"33232896\"]\n  15 [size=\"59287552\", alpha=\"0.18\", expect_size=\"29643776\"] \n  15 -> 16 [size =\"29643776\"]\n  16 [size=\"59062272\", alpha=\"0.16\", expect_size=\"29531136\"] \n  16 -> 17 [size =\"29531136\"]\n  17 [size=\"97087488\", alpha=\"0.14\", expect_size=\"48543744\"] \n  17 -> 18 [size =\"48543744\"]\n  18 [size=\"77232128\", alpha=\"0.11\", expect_size=\"38616064\"] \n  18 -> 19 [size =\"38616064\"]\n  19 [size=\"18925568\", alpha=\"0.13\", expect_size=\"9462784\"] \n  19 -> 20 [size =\"9462784\"]\n  20 [size=\"26533888\", alpha=\"0.07\", expect_size=\"13266944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97313280\", alpha=\"0.14\", expect_size=\"38925312\"] \n  1 -> 12 [size =\"38925312\"]\n  1 -> 12 [size =\"38925312\"]\n  1 -> 13 [size =\"38925312\"]\n  1 -> 15 [size =\"38925312\"]\n  1 -> 16 [size =\"38925312\"]\n  1 -> 17 [size =\"38925312\"]\n  2 [size=\"87101440\", alpha=\"0.03\", expect_size=\"34840576\"] \n  2 -> 15 [size =\"34840576\"]\n  2 -> 16 [size =\"34840576\"]\n  2 -> 17 [size =\"34840576\"]\n  3 [size=\"78679040\", alpha=\"0.04\", expect_size=\"31471616\"] \n  4 [size=\"118673920\", alpha=\"0.15\", expect_size=\"47469568\"] \n  4 -> 10 [size =\"47469568\"]\n  4 -> 13 [size =\"47469568\"]\n  4 -> 18 [size =\"47469568\"]\n  5 [size=\"26941440\", alpha=\"0.13\", expect_size=\"10776576\"] \n  5 -> 10 [size =\"10776576\"]\n  5 -> 12 [size =\"10776576\"]\n  5 -> 16 [size =\"10776576\"]\n  5 -> 17 [size =\"10776576\"]\n  5 -> 18 [size =\"10776576\"]\n  6 [size=\"121210880\", alpha=\"0.07\", expect_size=\"48484352\"] \n  6 -> 15 [size =\"48484352\"]\n  6 -> 16 [size =\"48484352\"]\n  6 -> 17 [size =\"48484352\"]\n  7 [size=\"130979840\", alpha=\"0.07\", expect_size=\"52391936\"] \n  7 -> 11 [size =\"52391936\"]\n  7 -> 13 [size =\"52391936\"]\n  7 -> 15 [size =\"52391936\"]\n  7 -> 16 [size =\"52391936\"]\n  7 -> 17 [size =\"52391936\"]\n  8 [size=\"75655680\", alpha=\"0.03\", expect_size=\"30262272\"] \n  8 -> 11 [size =\"30262272\"]\n  8 -> 15 [size =\"30262272\"]\n  8 -> 16 [size =\"30262272\"]\n  8 -> 17 [size =\"30262272\"]\n  9 [size=\"48919040\", alpha=\"0.15\", expect_size=\"19567616\"] \n  9 -> 10 [size =\"19567616\"]\n  9 -> 12 [size =\"19567616\"]\n  9 -> 14 [size =\"19567616\"]\n  9 -> 15 [size =\"19567616\"]\n  10 [size=\"75210240\", alpha=\"0.13\", expect_size=\"30084096\"] \n  10 -> 19 [size =\"30084096\"]\n  11 [size=\"125880320\", alpha=\"0.15\", expect_size=\"50352128\"] \n  11 -> 19 [size =\"50352128\"]\n  11 -> 20 [size =\"50352128\"]\n  12 [size=\"89702400\", alpha=\"0.20\", expect_size=\"35880960\"] \n  12 -> 19 [size =\"35880960\"]\n  12 -> 20 [size =\"35880960\"]\n  13 [size=\"108341760\", alpha=\"0.17\", expect_size=\"43336704\"] \n  13 -> 19 [size =\"43336704\"]\n  13 -> 20 [size =\"43336704\"]\n  14 [size=\"16568320\", alpha=\"0.16\", expect_size=\"6627328\"] \n  14 -> 19 [size =\"6627328\"]\n  14 -> 20 [size =\"6627328\"]\n  15 [size=\"104110080\", alpha=\"0.12\", expect_size=\"41644032\"] \n  15 -> 19 [size =\"41644032\"]\n  15 -> 20 [size =\"41644032\"]\n  16 [size=\"64552960\", alpha=\"0.17\", expect_size=\"25821184\"] \n  17 [size=\"106570240\", alpha=\"0.01\", expect_size=\"42628096\"] \n  17 -> 20 [size =\"42628096\"]\n  18 [size=\"28357120\", alpha=\"0.17\", expect_size=\"11342848\"] \n  18 -> 20 [size =\"11342848\"]\n  19 [size=\"45844480\", alpha=\"0.07\", expect_size=\"18337792\"] \n  20 [size=\"15260160\", alpha=\"0.13\", expect_size=\"6104064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57364480\", alpha=\"0.01\", expect_size=\"28682240\"] \n  1 -> 2 [size =\"28682240\"]\n  2 [size=\"17491968\", alpha=\"0.15\", expect_size=\"8745984\"] \n  2 -> 3 [size =\"8745984\"]\n  3 [size=\"16308224\", alpha=\"0.03\", expect_size=\"8154112\"] \n  3 -> 4 [size =\"8154112\"]\n  4 [size=\"91721728\", alpha=\"0.14\", expect_size=\"45860864\"] \n  4 -> 5 [size =\"45860864\"]\n  5 [size=\"66002944\", alpha=\"0.11\", expect_size=\"33001472\"] \n  5 -> 6 [size =\"33001472\"]\n  6 [size=\"14110720\", alpha=\"0.08\", expect_size=\"7055360\"] \n  6 -> 7 [size =\"7055360\"]\n  7 [size=\"46669824\", alpha=\"0.12\", expect_size=\"23334912\"] \n  7 -> 8 [size =\"23334912\"]\n  8 [size=\"82221056\", alpha=\"0.06\", expect_size=\"41110528\"] \n  8 -> 9 [size =\"41110528\"]\n  9 [size=\"86712320\", alpha=\"0.06\", expect_size=\"43356160\"] \n  9 -> 10 [size =\"43356160\"]\n  10 [size=\"52051968\", alpha=\"0.02\", expect_size=\"26025984\"] \n  10 -> 11 [size =\"26025984\"]\n  11 [size=\"14133248\", alpha=\"0.04\", expect_size=\"7066624\"] \n  11 -> 12 [size =\"7066624\"]\n  12 [size=\"20940800\", alpha=\"0.14\", expect_size=\"10470400\"] \n  12 -> 13 [size =\"10470400\"]\n  13 [size=\"90566656\", alpha=\"0.17\", expect_size=\"45283328\"] \n  13 -> 14 [size =\"45283328\"]\n  14 [size=\"10766336\", alpha=\"0.02\", expect_size=\"5383168\"] \n  14 -> 15 [size =\"5383168\"]\n  15 [size=\"76713984\", alpha=\"0.17\", expect_size=\"38356992\"] \n  15 -> 16 [size =\"38356992\"]\n  16 [size=\"33957888\", alpha=\"0.05\", expect_size=\"16978944\"] \n  16 -> 17 [size =\"16978944\"]\n  17 [size=\"70696960\", alpha=\"0.09\", expect_size=\"35348480\"] \n  17 -> 18 [size =\"35348480\"]\n  18 [size=\"33554432\", alpha=\"0.03\", expect_size=\"16777216\"] \n  18 -> 19 [size =\"16777216\"]\n  19 [size=\"61351936\", alpha=\"0.12\", expect_size=\"30675968\"] \n  19 -> 20 [size =\"30675968\"]\n  20 [size=\"91584512\", alpha=\"0.14\", expect_size=\"45792256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55129600\", alpha=\"0.16\", expect_size=\"22051840\"] \n  2 [size=\"25280000\", alpha=\"0.20\", expect_size=\"10112000\"] \n  2 -> 4 [size =\"10112000\"]\n  2 -> 5 [size =\"10112000\"]\n  3 [size=\"81241600\", alpha=\"0.20\", expect_size=\"32496640\"] \n  4 [size=\"32755200\", alpha=\"0.18\", expect_size=\"13102080\"] \n  4 -> 6 [size =\"13102080\"]\n  4 -> 9 [size =\"13102080\"]\n  4 -> 10 [size =\"13102080\"]\n  5 [size=\"119997440\", alpha=\"0.20\", expect_size=\"47998976\"] \n  5 -> 6 [size =\"47998976\"]\n  5 -> 7 [size =\"47998976\"]\n  5 -> 8 [size =\"47998976\"]\n  6 [size=\"38597120\", alpha=\"0.04\", expect_size=\"15438848\"] \n  6 -> 11 [size =\"15438848\"]\n  6 -> 12 [size =\"15438848\"]\n  7 [size=\"108846080\", alpha=\"0.04\", expect_size=\"43538432\"] \n  7 -> 12 [size =\"43538432\"]\n  7 -> 13 [size =\"43538432\"]\n  7 -> 14 [size =\"43538432\"]\n  8 [size=\"22878720\", alpha=\"0.13\", expect_size=\"9151488\"] \n  9 [size=\"107276800\", alpha=\"0.14\", expect_size=\"42910720\"] \n  9 -> 12 [size =\"42910720\"]\n  10 [size=\"83458560\", alpha=\"0.12\", expect_size=\"33383424\"] \n  10 -> 13 [size =\"33383424\"]\n  11 [size=\"55485440\", alpha=\"0.08\", expect_size=\"22194176\"] \n  11 -> 15 [size =\"22194176\"]\n  11 -> 17 [size =\"22194176\"]\n  11 -> 19 [size =\"22194176\"]\n  12 [size=\"29199360\", alpha=\"0.18\", expect_size=\"11679744\"] \n  12 -> 15 [size =\"11679744\"]\n  12 -> 16 [size =\"11679744\"]\n  12 -> 18 [size =\"11679744\"]\n  13 [size=\"26572800\", alpha=\"0.06\", expect_size=\"10629120\"] \n  13 -> 16 [size =\"10629120\"]\n  13 -> 18 [size =\"10629120\"]\n  14 [size=\"24675840\", alpha=\"0.12\", expect_size=\"9870336\"] \n  14 -> 19 [size =\"9870336\"]\n  15 [size=\"14371840\", alpha=\"0.13\", expect_size=\"5748736\"] \n  16 [size=\"13493760\", alpha=\"0.09\", expect_size=\"5397504\"] \n  16 -> 20 [size =\"5397504\"]\n  17 [size=\"35128320\", alpha=\"0.02\", expect_size=\"14051328\"] \n  18 [size=\"58135040\", alpha=\"0.08\", expect_size=\"23254016\"] \n  19 [size=\"14553600\", alpha=\"0.01\", expect_size=\"5821440\"] \n  20 [size=\"95406080\", alpha=\"0.05\", expect_size=\"38162432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39198720\", alpha=\"0.05\", expect_size=\"19599360\"] \n  1 -> 6 [size =\"19599360\"]\n  2 [size=\"28766208\", alpha=\"0.08\", expect_size=\"14383104\"] \n  2 -> 7 [size =\"14383104\"]\n  3 [size=\"61579264\", alpha=\"0.04\", expect_size=\"30789632\"] \n  3 -> 7 [size =\"30789632\"]\n  4 [size=\"30488576\", alpha=\"0.04\", expect_size=\"15244288\"] \n  4 -> 5 [size =\"15244288\"]\n  5 [size=\"57673728\", alpha=\"0.12\", expect_size=\"28836864\"] \n  5 -> 10 [size =\"28836864\"]\n  5 -> 11 [size =\"28836864\"]\n  5 -> 12 [size =\"28836864\"]\n  6 [size=\"32614400\", alpha=\"0.04\", expect_size=\"16307200\"] \n  6 -> 8 [size =\"16307200\"]\n  6 -> 11 [size =\"16307200\"]\n  7 [size=\"30480384\", alpha=\"0.14\", expect_size=\"15240192\"] \n  7 -> 8 [size =\"15240192\"]\n  7 -> 9 [size =\"15240192\"]\n  7 -> 10 [size =\"15240192\"]\n  8 [size=\"78387200\", alpha=\"0.09\", expect_size=\"39193600\"] \n  8 -> 13 [size =\"39193600\"]\n  9 [size=\"42186752\", alpha=\"0.02\", expect_size=\"21093376\"] \n  9 -> 15 [size =\"21093376\"]\n  9 -> 16 [size =\"21093376\"]\n  10 [size=\"86796288\", alpha=\"0.18\", expect_size=\"43398144\"] \n  10 -> 15 [size =\"43398144\"]\n  11 [size=\"64088064\", alpha=\"0.07\", expect_size=\"32044032\"] \n  12 [size=\"86607872\", alpha=\"0.07\", expect_size=\"43303936\"] \n  12 -> 13 [size =\"43303936\"]\n  12 -> 14 [size =\"43303936\"]\n  12 -> 15 [size =\"43303936\"]\n  12 -> 16 [size =\"43303936\"]\n  13 [size=\"31438848\", alpha=\"0.05\", expect_size=\"15719424\"] \n  14 [size=\"51757056\", alpha=\"0.13\", expect_size=\"25878528\"] \n  14 -> 18 [size =\"25878528\"]\n  14 -> 20 [size =\"25878528\"]\n  15 [size=\"69922816\", alpha=\"0.11\", expect_size=\"34961408\"] \n  15 -> 17 [size =\"34961408\"]\n  15 -> 19 [size =\"34961408\"]\n  16 [size=\"32350208\", alpha=\"0.12\", expect_size=\"16175104\"] \n  16 -> 18 [size =\"16175104\"]\n  16 -> 19 [size =\"16175104\"]\n  17 [size=\"51462144\", alpha=\"0.15\", expect_size=\"25731072\"] \n  18 [size=\"23369728\", alpha=\"0.01\", expect_size=\"11684864\"] \n  19 [size=\"67178496\", alpha=\"0.14\", expect_size=\"33589248\"] \n  20 [size=\"75718656\", alpha=\"0.06\", expect_size=\"37859328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74460160\", alpha=\"0.12\", expect_size=\"29784064\"] \n  1 -> 5 [size =\"29784064\"]\n  1 -> 7 [size =\"29784064\"]\n  2 [size=\"41297920\", alpha=\"0.01\", expect_size=\"16519168\"] \n  2 -> 4 [size =\"16519168\"]\n  3 [size=\"26375680\", alpha=\"0.14\", expect_size=\"10550272\"] \n  3 -> 6 [size =\"10550272\"]\n  4 [size=\"48870400\", alpha=\"0.16\", expect_size=\"19548160\"] \n  4 -> 9 [size =\"19548160\"]\n  5 [size=\"127938560\", alpha=\"0.19\", expect_size=\"51175424\"] \n  5 -> 11 [size =\"51175424\"]\n  6 [size=\"124856320\", alpha=\"0.17\", expect_size=\"49942528\"] \n  6 -> 8 [size =\"49942528\"]\n  7 [size=\"58501120\", alpha=\"0.17\", expect_size=\"23400448\"] \n  7 -> 8 [size =\"23400448\"]\n  7 -> 9 [size =\"23400448\"]\n  7 -> 10 [size =\"23400448\"]\n  8 [size=\"59074560\", alpha=\"0.06\", expect_size=\"23629824\"] \n  8 -> 12 [size =\"23629824\"]\n  9 [size=\"69949440\", alpha=\"0.20\", expect_size=\"27979776\"] \n  9 -> 13 [size =\"27979776\"]\n  10 [size=\"53050880\", alpha=\"0.01\", expect_size=\"21220352\"] \n  10 -> 14 [size =\"21220352\"]\n  11 [size=\"49187840\", alpha=\"0.04\", expect_size=\"19675136\"] \n  11 -> 14 [size =\"19675136\"]\n  12 [size=\"121254400\", alpha=\"0.03\", expect_size=\"48501760\"] \n  12 -> 16 [size =\"48501760\"]\n  13 [size=\"124567040\", alpha=\"0.10\", expect_size=\"49826816\"] \n  13 -> 15 [size =\"49826816\"]\n  13 -> 16 [size =\"49826816\"]\n  14 [size=\"87774720\", alpha=\"0.15\", expect_size=\"35109888\"] \n  15 [size=\"63546880\", alpha=\"0.07\", expect_size=\"25418752\"] \n  15 -> 19 [size =\"25418752\"]\n  15 -> 20 [size =\"25418752\"]\n  16 [size=\"58119680\", alpha=\"0.13\", expect_size=\"23247872\"] \n  16 -> 17 [size =\"23247872\"]\n  16 -> 18 [size =\"23247872\"]\n  17 [size=\"37880320\", alpha=\"0.16\", expect_size=\"15152128\"] \n  18 [size=\"20544000\", alpha=\"0.11\", expect_size=\"8217600\"] \n  19 [size=\"53913600\", alpha=\"0.10\", expect_size=\"21565440\"] \n  20 [size=\"53488640\", alpha=\"0.15\", expect_size=\"21395456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112687787\", alpha=\"0.15\", expect_size=\"33806336\"] \n  1 -> 2 [size =\"33806336\"]\n  2 [size=\"108492800\", alpha=\"0.02\", expect_size=\"32547840\"] \n  2 -> 3 [size =\"32547840\"]\n  3 [size=\"140499627\", alpha=\"0.19\", expect_size=\"42149888\"] \n  3 -> 4 [size =\"42149888\"]\n  4 [size=\"83855360\", alpha=\"0.07\", expect_size=\"25156608\"] \n  4 -> 5 [size =\"25156608\"]\n  5 [size=\"90429440\", alpha=\"0.16\", expect_size=\"27128832\"] \n  5 -> 6 [size =\"27128832\"]\n  6 [size=\"158682453\", alpha=\"0.01\", expect_size=\"47604736\"] \n  6 -> 7 [size =\"47604736\"]\n  7 [size=\"114486613\", alpha=\"0.19\", expect_size=\"34345984\"] \n  7 -> 8 [size =\"34345984\"]\n  8 [size=\"30958933\", alpha=\"0.07\", expect_size=\"9287680\"] \n  8 -> 9 [size =\"9287680\"]\n  9 [size=\"106687147\", alpha=\"0.02\", expect_size=\"32006144\"] \n  9 -> 10 [size =\"32006144\"]\n  10 [size=\"123856213\", alpha=\"0.09\", expect_size=\"37156864\"] \n  10 -> 11 [size =\"37156864\"]\n  11 [size=\"32815787\", alpha=\"0.10\", expect_size=\"9844736\"] \n  11 -> 12 [size =\"9844736\"]\n  12 [size=\"147394560\", alpha=\"0.07\", expect_size=\"44218368\"] \n  12 -> 13 [size =\"44218368\"]\n  13 [size=\"165113173\", alpha=\"0.03\", expect_size=\"49533952\"] \n  13 -> 14 [size =\"49533952\"]\n  14 [size=\"156132693\", alpha=\"0.17\", expect_size=\"46839808\"] \n  14 -> 15 [size =\"46839808\"]\n  15 [size=\"56002560\", alpha=\"0.11\", expect_size=\"16800768\"] \n  15 -> 16 [size =\"16800768\"]\n  16 [size=\"21906773\", alpha=\"0.13\", expect_size=\"6572032\"] \n  16 -> 17 [size =\"6572032\"]\n  17 [size=\"26101760\", alpha=\"0.19\", expect_size=\"7830528\"] \n  17 -> 18 [size =\"7830528\"]\n  18 [size=\"173407573\", alpha=\"0.03\", expect_size=\"52022272\"] \n  18 -> 19 [size =\"52022272\"]\n  19 [size=\"71731200\", alpha=\"0.10\", expect_size=\"21519360\"] \n  19 -> 20 [size =\"21519360\"]\n  20 [size=\"84060160\", alpha=\"0.13\", expect_size=\"25218048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126986240\", alpha=\"0.07\", expect_size=\"50794496\"] \n  1 -> 6 [size =\"50794496\"]\n  1 -> 7 [size =\"50794496\"]\n  2 [size=\"22433280\", alpha=\"0.04\", expect_size=\"8973312\"] \n  2 -> 5 [size =\"8973312\"]\n  3 [size=\"38986240\", alpha=\"0.03\", expect_size=\"15594496\"] \n  4 [size=\"30062080\", alpha=\"0.17\", expect_size=\"12024832\"] \n  4 -> 6 [size =\"12024832\"]\n  5 [size=\"101455360\", alpha=\"0.15\", expect_size=\"40582144\"] \n  5 -> 8 [size =\"40582144\"]\n  5 -> 9 [size =\"40582144\"]\n  6 [size=\"91855360\", alpha=\"0.16\", expect_size=\"36742144\"] \n  7 [size=\"49364480\", alpha=\"0.14\", expect_size=\"19745792\"] \n  7 -> 8 [size =\"19745792\"]\n  7 -> 9 [size =\"19745792\"]\n  8 [size=\"33968640\", alpha=\"0.11\", expect_size=\"13587456\"] \n  8 -> 10 [size =\"13587456\"]\n  9 [size=\"125447680\", alpha=\"0.18\", expect_size=\"50179072\"] \n  9 -> 11 [size =\"50179072\"]\n  9 -> 12 [size =\"50179072\"]\n  9 -> 13 [size =\"50179072\"]\n  10 [size=\"15587840\", alpha=\"0.14\", expect_size=\"6235136\"] \n  10 -> 14 [size =\"6235136\"]\n  10 -> 15 [size =\"6235136\"]\n  11 [size=\"116126720\", alpha=\"0.11\", expect_size=\"46450688\"] \n  11 -> 15 [size =\"46450688\"]\n  11 -> 17 [size =\"46450688\"]\n  12 [size=\"37688320\", alpha=\"0.00\", expect_size=\"15075328\"] \n  12 -> 16 [size =\"15075328\"]\n  12 -> 18 [size =\"15075328\"]\n  13 [size=\"58739200\", alpha=\"0.12\", expect_size=\"23495680\"] \n  13 -> 14 [size =\"23495680\"]\n  14 [size=\"77373440\", alpha=\"0.01\", expect_size=\"30949376\"] \n  14 -> 19 [size =\"30949376\"]\n  14 -> 20 [size =\"30949376\"]\n  15 [size=\"60382720\", alpha=\"0.16\", expect_size=\"24153088\"] \n  15 -> 19 [size =\"24153088\"]\n  16 [size=\"30737920\", alpha=\"0.19\", expect_size=\"12295168\"] \n  17 [size=\"127393280\", alpha=\"0.00\", expect_size=\"50957312\"] \n  17 -> 20 [size =\"50957312\"]\n  18 [size=\"91991040\", alpha=\"0.03\", expect_size=\"36796416\"] \n  18 -> 20 [size =\"36796416\"]\n  19 [size=\"38632960\", alpha=\"0.18\", expect_size=\"15453184\"] \n  20 [size=\"28646400\", alpha=\"0.05\", expect_size=\"11458560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74452480\", alpha=\"0.19\", expect_size=\"29780992\"] \n  1 -> 2 [size =\"29780992\"]\n  2 [size=\"46382080\", alpha=\"0.19\", expect_size=\"18552832\"] \n  2 -> 3 [size =\"18552832\"]\n  3 [size=\"73610240\", alpha=\"0.19\", expect_size=\"29444096\"] \n  3 -> 4 [size =\"29444096\"]\n  4 [size=\"104153600\", alpha=\"0.11\", expect_size=\"41661440\"] \n  4 -> 5 [size =\"41661440\"]\n  5 [size=\"46809600\", alpha=\"0.07\", expect_size=\"18723840\"] \n  5 -> 6 [size =\"18723840\"]\n  6 [size=\"50424320\", alpha=\"0.16\", expect_size=\"20169728\"] \n  6 -> 7 [size =\"20169728\"]\n  7 [size=\"48112640\", alpha=\"0.14\", expect_size=\"19245056\"] \n  7 -> 8 [size =\"19245056\"]\n  8 [size=\"49943040\", alpha=\"0.10\", expect_size=\"19977216\"] \n  8 -> 9 [size =\"19977216\"]\n  9 [size=\"24010240\", alpha=\"0.09\", expect_size=\"9604096\"] \n  9 -> 10 [size =\"9604096\"]\n  10 [size=\"104801280\", alpha=\"0.20\", expect_size=\"41920512\"] \n  10 -> 11 [size =\"41920512\"]\n  11 [size=\"90181120\", alpha=\"0.17\", expect_size=\"36072448\"] \n  11 -> 12 [size =\"36072448\"]\n  12 [size=\"81512960\", alpha=\"0.01\", expect_size=\"32605184\"] \n  12 -> 13 [size =\"32605184\"]\n  13 [size=\"77562880\", alpha=\"0.20\", expect_size=\"31025152\"] \n  13 -> 14 [size =\"31025152\"]\n  14 [size=\"74298880\", alpha=\"0.08\", expect_size=\"29719552\"] \n  14 -> 15 [size =\"29719552\"]\n  15 [size=\"19855360\", alpha=\"0.01\", expect_size=\"7942144\"] \n  15 -> 16 [size =\"7942144\"]\n  16 [size=\"63907840\", alpha=\"0.19\", expect_size=\"25563136\"] \n  16 -> 17 [size =\"25563136\"]\n  17 [size=\"37532160\", alpha=\"0.18\", expect_size=\"15012864\"] \n  17 -> 18 [size =\"15012864\"]\n  18 [size=\"118504960\", alpha=\"0.13\", expect_size=\"47401984\"] \n  18 -> 19 [size =\"47401984\"]\n  19 [size=\"59740160\", alpha=\"0.10\", expect_size=\"23896064\"] \n  19 -> 20 [size =\"23896064\"]\n  20 [size=\"115553280\", alpha=\"0.15\", expect_size=\"46221312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69480960\", alpha=\"0.13\", expect_size=\"27792384\"] \n  1 -> 8 [size =\"27792384\"]\n  1 -> 10 [size =\"27792384\"]\n  1 -> 11 [size =\"27792384\"]\n  2 [size=\"87226880\", alpha=\"0.13\", expect_size=\"34890752\"] \n  2 -> 8 [size =\"34890752\"]\n  2 -> 10 [size =\"34890752\"]\n  2 -> 11 [size =\"34890752\"]\n  2 -> 12 [size =\"34890752\"]\n  3 [size=\"81932800\", alpha=\"0.03\", expect_size=\"32773120\"] \n  3 -> 13 [size =\"32773120\"]\n  3 -> 15 [size =\"32773120\"]\n  4 [size=\"27624960\", alpha=\"0.02\", expect_size=\"11049984\"] \n  4 -> 12 [size =\"11049984\"]\n  4 -> 13 [size =\"11049984\"]\n  5 [size=\"118896640\", alpha=\"0.09\", expect_size=\"47558656\"] \n  5 -> 10 [size =\"47558656\"]\n  5 -> 14 [size =\"47558656\"]\n  5 -> 15 [size =\"47558656\"]\n  6 [size=\"60648960\", alpha=\"0.14\", expect_size=\"24259584\"] \n  6 -> 8 [size =\"24259584\"]\n  6 -> 10 [size =\"24259584\"]\n  6 -> 13 [size =\"24259584\"]\n  7 [size=\"70566400\", alpha=\"0.01\", expect_size=\"28226560\"] \n  7 -> 8 [size =\"28226560\"]\n  7 -> 9 [size =\"28226560\"]\n  7 -> 10 [size =\"28226560\"]\n  8 [size=\"93117440\", alpha=\"0.09\", expect_size=\"37246976\"] \n  8 -> 19 [size =\"37246976\"]\n  9 [size=\"53460480\", alpha=\"0.08\", expect_size=\"21384192\"] \n  10 [size=\"29537280\", alpha=\"0.05\", expect_size=\"11814912\"] \n  10 -> 16 [size =\"11814912\"]\n  11 [size=\"15692800\", alpha=\"0.03\", expect_size=\"6277120\"] \n  11 -> 18 [size =\"6277120\"]\n  11 -> 19 [size =\"6277120\"]\n  12 [size=\"95301120\", alpha=\"0.05\", expect_size=\"38120448\"] \n  12 -> 16 [size =\"38120448\"]\n  12 -> 19 [size =\"38120448\"]\n  13 [size=\"55795200\", alpha=\"0.16\", expect_size=\"22318080\"] \n  13 -> 17 [size =\"22318080\"]\n  14 [size=\"73052160\", alpha=\"0.13\", expect_size=\"29220864\"] \n  15 [size=\"85227520\", alpha=\"0.04\", expect_size=\"34091008\"] \n  15 -> 19 [size =\"34091008\"]\n  15 -> 20 [size =\"34091008\"]\n  16 [size=\"18718720\", alpha=\"0.09\", expect_size=\"7487488\"] \n  17 [size=\"98490880\", alpha=\"0.15\", expect_size=\"39396352\"] \n  18 [size=\"102958080\", alpha=\"0.14\", expect_size=\"41183232\"] \n  19 [size=\"37888000\", alpha=\"0.08\", expect_size=\"15155200\"] \n  20 [size=\"87226880\", alpha=\"0.07\", expect_size=\"34890752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82769920\", alpha=\"0.17\", expect_size=\"41384960\"] \n  1 -> 9 [size =\"41384960\"]\n  1 -> 10 [size =\"41384960\"]\n  1 -> 11 [size =\"41384960\"]\n  2 [size=\"25538560\", alpha=\"0.05\", expect_size=\"12769280\"] \n  3 [size=\"15411200\", alpha=\"0.18\", expect_size=\"7705600\"] \n  4 [size=\"103524352\", alpha=\"0.16\", expect_size=\"51762176\"] \n  4 -> 11 [size =\"51762176\"]\n  5 [size=\"49154048\", alpha=\"0.06\", expect_size=\"24577024\"] \n  5 -> 8 [size =\"24577024\"]\n  5 -> 11 [size =\"24577024\"]\n  6 [size=\"59719680\", alpha=\"0.12\", expect_size=\"29859840\"] \n  7 [size=\"32749568\", alpha=\"0.03\", expect_size=\"16374784\"] \n  7 -> 8 [size =\"16374784\"]\n  7 -> 10 [size =\"16374784\"]\n  7 -> 11 [size =\"16374784\"]\n  7 -> 12 [size =\"16374784\"]\n  8 [size=\"46514176\", alpha=\"0.04\", expect_size=\"23257088\"] \n  8 -> 13 [size =\"23257088\"]\n  8 -> 15 [size =\"23257088\"]\n  8 -> 17 [size =\"23257088\"]\n  8 -> 19 [size =\"23257088\"]\n  9 [size=\"42606592\", alpha=\"0.17\", expect_size=\"21303296\"] \n  9 -> 15 [size =\"21303296\"]\n  9 -> 16 [size =\"21303296\"]\n  9 -> 17 [size =\"21303296\"]\n  10 [size=\"89747456\", alpha=\"0.07\", expect_size=\"44873728\"] \n  10 -> 17 [size =\"44873728\"]\n  11 [size=\"53444608\", alpha=\"0.19\", expect_size=\"26722304\"] \n  11 -> 16 [size =\"26722304\"]\n  11 -> 18 [size =\"26722304\"]\n  12 [size=\"39012352\", alpha=\"0.04\", expect_size=\"19506176\"] \n  12 -> 13 [size =\"19506176\"]\n  12 -> 14 [size =\"19506176\"]\n  12 -> 15 [size =\"19506176\"]\n  13 [size=\"62498816\", alpha=\"0.04\", expect_size=\"31249408\"] \n  14 [size=\"55044096\", alpha=\"0.15\", expect_size=\"27522048\"] \n  14 -> 20 [size =\"27522048\"]\n  15 [size=\"37152768\", alpha=\"0.04\", expect_size=\"18576384\"] \n  15 -> 20 [size =\"18576384\"]\n  16 [size=\"63836160\", alpha=\"0.11\", expect_size=\"31918080\"] \n  16 -> 20 [size =\"31918080\"]\n  17 [size=\"24899584\", alpha=\"0.06\", expect_size=\"12449792\"] \n  18 [size=\"36941824\", alpha=\"0.13\", expect_size=\"18470912\"] \n  18 -> 20 [size =\"18470912\"]\n  19 [size=\"57800704\", alpha=\"0.14\", expect_size=\"28900352\"] \n  20 [size=\"44263424\", alpha=\"0.17\", expect_size=\"22131712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68804608\", alpha=\"0.01\", expect_size=\"34402304\"] \n  1 -> 2 [size =\"34402304\"]\n  2 [size=\"36298752\", alpha=\"0.06\", expect_size=\"18149376\"] \n  2 -> 3 [size =\"18149376\"]\n  3 [size=\"31008768\", alpha=\"0.05\", expect_size=\"15504384\"] \n  3 -> 4 [size =\"15504384\"]\n  4 [size=\"40087552\", alpha=\"0.04\", expect_size=\"20043776\"] \n  4 -> 5 [size =\"20043776\"]\n  5 [size=\"70660096\", alpha=\"0.02\", expect_size=\"35330048\"] \n  5 -> 6 [size =\"35330048\"]\n  6 [size=\"71538688\", alpha=\"0.18\", expect_size=\"35769344\"] \n  6 -> 7 [size =\"35769344\"]\n  7 [size=\"57214976\", alpha=\"0.20\", expect_size=\"28607488\"] \n  7 -> 8 [size =\"28607488\"]\n  8 [size=\"66678784\", alpha=\"0.00\", expect_size=\"33339392\"] \n  8 -> 9 [size =\"33339392\"]\n  9 [size=\"38846464\", alpha=\"0.03\", expect_size=\"19423232\"] \n  9 -> 10 [size =\"19423232\"]\n  10 [size=\"100245504\", alpha=\"0.05\", expect_size=\"50122752\"] \n  10 -> 11 [size =\"50122752\"]\n  11 [size=\"70635520\", alpha=\"0.01\", expect_size=\"35317760\"] \n  11 -> 12 [size =\"35317760\"]\n  12 [size=\"77017088\", alpha=\"0.03\", expect_size=\"38508544\"] \n  12 -> 13 [size =\"38508544\"]\n  13 [size=\"13158400\", alpha=\"0.03\", expect_size=\"6579200\"] \n  13 -> 14 [size =\"6579200\"]\n  14 [size=\"35751936\", alpha=\"0.00\", expect_size=\"17875968\"] \n  14 -> 15 [size =\"17875968\"]\n  15 [size=\"52529152\", alpha=\"0.02\", expect_size=\"26264576\"] \n  15 -> 16 [size =\"26264576\"]\n  16 [size=\"60071936\", alpha=\"0.13\", expect_size=\"30035968\"] \n  16 -> 17 [size =\"30035968\"]\n  17 [size=\"48625664\", alpha=\"0.04\", expect_size=\"24312832\"] \n  17 -> 18 [size =\"24312832\"]\n  18 [size=\"46305280\", alpha=\"0.18\", expect_size=\"23152640\"] \n  18 -> 19 [size =\"23152640\"]\n  19 [size=\"47493120\", alpha=\"0.02\", expect_size=\"23746560\"] \n  19 -> 20 [size =\"23746560\"]\n  20 [size=\"63975424\", alpha=\"0.08\", expect_size=\"31987712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48984064\", alpha=\"0.05\", expect_size=\"24492032\"] \n  1 -> 18 [size =\"24492032\"]\n  2 [size=\"93687808\", alpha=\"0.01\", expect_size=\"46843904\"] \n  2 -> 20 [size =\"46843904\"]\n  3 [size=\"78276608\", alpha=\"0.03\", expect_size=\"39138304\"] \n  4 [size=\"35336192\", alpha=\"0.08\", expect_size=\"17668096\"] \n  5 [size=\"12103680\", alpha=\"0.07\", expect_size=\"6051840\"] \n  6 [size=\"17709056\", alpha=\"0.17\", expect_size=\"8854528\"] \n  7 [size=\"47986688\", alpha=\"0.07\", expect_size=\"23993344\"] \n  7 -> 18 [size =\"23993344\"]\n  8 [size=\"80936960\", alpha=\"0.05\", expect_size=\"40468480\"] \n  9 [size=\"61775872\", alpha=\"0.12\", expect_size=\"30887936\"] \n  9 -> 19 [size =\"30887936\"]\n  10 [size=\"62789632\", alpha=\"0.09\", expect_size=\"31394816\"] \n  10 -> 18 [size =\"31394816\"]\n  10 -> 19 [size =\"31394816\"]\n  10 -> 20 [size =\"31394816\"]\n  11 [size=\"13178880\", alpha=\"0.13\", expect_size=\"6589440\"] \n  11 -> 18 [size =\"6589440\"]\n  11 -> 20 [size =\"6589440\"]\n  11 -> 20 [size =\"6589440\"]\n  12 [size=\"36134912\", alpha=\"0.18\", expect_size=\"18067456\"] \n  12 -> 18 [size =\"18067456\"]\n  12 -> 20 [size =\"18067456\"]\n  13 [size=\"38576128\", alpha=\"0.06\", expect_size=\"19288064\"] \n  13 -> 20 [size =\"19288064\"]\n  14 [size=\"51355648\", alpha=\"0.09\", expect_size=\"25677824\"] \n  15 [size=\"89964544\", alpha=\"0.09\", expect_size=\"44982272\"] \n  15 -> 19 [size =\"44982272\"]\n  16 [size=\"30840832\", alpha=\"0.16\", expect_size=\"15420416\"] \n  17 [size=\"14755840\", alpha=\"0.06\", expect_size=\"7377920\"] \n  17 -> 20 [size =\"7377920\"]\n  18 [size=\"50067456\", alpha=\"0.06\", expect_size=\"25033728\"] \n  19 [size=\"72235008\", alpha=\"0.12\", expect_size=\"36117504\"] \n  20 [size=\"34734080\", alpha=\"0.08\", expect_size=\"17367040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46083413\", alpha=\"0.14\", expect_size=\"13825024\"] \n  1 -> 2 [size =\"13825024\"]\n  2 [size=\"52817920\", alpha=\"0.13\", expect_size=\"15845376\"] \n  2 -> 3 [size =\"15845376\"]\n  3 [size=\"155030187\", alpha=\"0.19\", expect_size=\"46509056\"] \n  3 -> 4 [size =\"46509056\"]\n  4 [size=\"64580267\", alpha=\"0.05\", expect_size=\"19374080\"] \n  4 -> 5 [size =\"19374080\"]\n  5 [size=\"84094293\", alpha=\"0.04\", expect_size=\"25228288\"] \n  5 -> 6 [size =\"25228288\"]\n  6 [size=\"80373760\", alpha=\"0.18\", expect_size=\"24112128\"] \n  6 -> 7 [size =\"24112128\"]\n  7 [size=\"33556480\", alpha=\"0.04\", expect_size=\"10066944\"] \n  7 -> 8 [size =\"10066944\"]\n  8 [size=\"138786133\", alpha=\"0.18\", expect_size=\"41635840\"] \n  8 -> 9 [size =\"41635840\"]\n  9 [size=\"156279467\", alpha=\"0.05\", expect_size=\"46883840\"] \n  9 -> 10 [size =\"46883840\"]\n  10 [size=\"171093333\", alpha=\"0.07\", expect_size=\"51328000\"] \n  10 -> 11 [size =\"51328000\"]\n  11 [size=\"166423893\", alpha=\"0.12\", expect_size=\"49927168\"] \n  11 -> 12 [size =\"49927168\"]\n  12 [size=\"115763200\", alpha=\"0.20\", expect_size=\"34728960\"] \n  12 -> 13 [size =\"34728960\"]\n  13 [size=\"59706027\", alpha=\"0.11\", expect_size=\"17911808\"] \n  13 -> 14 [size =\"17911808\"]\n  14 [size=\"53896533\", alpha=\"0.17\", expect_size=\"16168960\"] \n  14 -> 15 [size =\"16168960\"]\n  15 [size=\"95641600\", alpha=\"0.04\", expect_size=\"28692480\"] \n  15 -> 16 [size =\"28692480\"]\n  16 [size=\"130976427\", alpha=\"0.17\", expect_size=\"39292928\"] \n  16 -> 17 [size =\"39292928\"]\n  17 [size=\"116360533\", alpha=\"0.09\", expect_size=\"34908160\"] \n  17 -> 18 [size =\"34908160\"]\n  18 [size=\"143981227\", alpha=\"0.18\", expect_size=\"43194368\"] \n  18 -> 19 [size =\"43194368\"]\n  19 [size=\"130856960\", alpha=\"0.18\", expect_size=\"39257088\"] \n  19 -> 20 [size =\"39257088\"]\n  20 [size=\"169796267\", alpha=\"0.20\", expect_size=\"50938880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75589632\", alpha=\"0.04\", expect_size=\"37794816\"] \n  1 -> 7 [size =\"37794816\"]\n  1 -> 8 [size =\"37794816\"]\n  1 -> 9 [size =\"37794816\"]\n  1 -> 10 [size =\"37794816\"]\n  1 -> 11 [size =\"37794816\"]\n  1 -> 12 [size =\"37794816\"]\n  2 [size=\"18604032\", alpha=\"0.18\", expect_size=\"9302016\"] \n  2 -> 7 [size =\"9302016\"]\n  2 -> 10 [size =\"9302016\"]\n  3 [size=\"37091328\", alpha=\"0.06\", expect_size=\"18545664\"] \n  3 -> 11 [size =\"18545664\"]\n  4 [size=\"94625792\", alpha=\"0.10\", expect_size=\"47312896\"] \n  4 -> 7 [size =\"47312896\"]\n  4 -> 8 [size =\"47312896\"]\n  4 -> 9 [size =\"47312896\"]\n  4 -> 12 [size =\"47312896\"]\n  5 [size=\"67069952\", alpha=\"0.19\", expect_size=\"33534976\"] \n  5 -> 6 [size =\"33534976\"]\n  5 -> 9 [size =\"33534976\"]\n  5 -> 11 [size =\"33534976\"]\n  5 -> 12 [size =\"33534976\"]\n  6 [size=\"39665664\", alpha=\"0.13\", expect_size=\"19832832\"] \n  6 -> 13 [size =\"19832832\"]\n  6 -> 15 [size =\"19832832\"]\n  6 -> 16 [size =\"19832832\"]\n  6 -> 18 [size =\"19832832\"]\n  7 [size=\"43003904\", alpha=\"0.19\", expect_size=\"21501952\"] \n  7 -> 18 [size =\"21501952\"]\n  7 -> 20 [size =\"21501952\"]\n  8 [size=\"85491712\", alpha=\"0.03\", expect_size=\"42745856\"] \n  8 -> 13 [size =\"42745856\"]\n  8 -> 14 [size =\"42745856\"]\n  8 -> 15 [size =\"42745856\"]\n  8 -> 17 [size =\"42745856\"]\n  9 [size=\"10719232\", alpha=\"0.06\", expect_size=\"5359616\"] \n  9 -> 15 [size =\"5359616\"]\n  9 -> 17 [size =\"5359616\"]\n  10 [size=\"16560128\", alpha=\"0.13\", expect_size=\"8280064\"] \n  10 -> 18 [size =\"8280064\"]\n  11 [size=\"102406144\", alpha=\"0.09\", expect_size=\"51203072\"] \n  11 -> 15 [size =\"51203072\"]\n  11 -> 19 [size =\"51203072\"]\n  12 [size=\"28022784\", alpha=\"0.17\", expect_size=\"14011392\"] \n  12 -> 16 [size =\"14011392\"]\n  12 -> 18 [size =\"14011392\"]\n  13 [size=\"18268160\", alpha=\"0.18\", expect_size=\"9134080\"] \n  14 [size=\"47659008\", alpha=\"0.08\", expect_size=\"23829504\"] \n  15 [size=\"92827648\", alpha=\"0.01\", expect_size=\"46413824\"] \n  16 [size=\"88541184\", alpha=\"0.09\", expect_size=\"44270592\"] \n  17 [size=\"55777280\", alpha=\"0.04\", expect_size=\"27888640\"] \n  18 [size=\"50466816\", alpha=\"0.06\", expect_size=\"25233408\"] \n  19 [size=\"63266816\", alpha=\"0.07\", expect_size=\"31633408\"] \n  20 [size=\"89960448\", alpha=\"0.08\", expect_size=\"44980224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41713664\", alpha=\"0.02\", expect_size=\"20856832\"] \n  1 -> 2 [size =\"20856832\"]\n  2 [size=\"102248448\", alpha=\"0.12\", expect_size=\"51124224\"] \n  2 -> 3 [size =\"51124224\"]\n  3 [size=\"86059008\", alpha=\"0.03\", expect_size=\"43029504\"] \n  3 -> 4 [size =\"43029504\"]\n  4 [size=\"51576832\", alpha=\"0.03\", expect_size=\"25788416\"] \n  4 -> 5 [size =\"25788416\"]\n  5 [size=\"47046656\", alpha=\"0.15\", expect_size=\"23523328\"] \n  5 -> 6 [size =\"23523328\"]\n  6 [size=\"32552960\", alpha=\"0.04\", expect_size=\"16276480\"] \n  6 -> 7 [size =\"16276480\"]\n  7 [size=\"60364800\", alpha=\"0.12\", expect_size=\"30182400\"] \n  7 -> 8 [size =\"30182400\"]\n  8 [size=\"31164416\", alpha=\"0.13\", expect_size=\"15582208\"] \n  8 -> 9 [size =\"15582208\"]\n  9 [size=\"98893824\", alpha=\"0.08\", expect_size=\"49446912\"] \n  9 -> 10 [size =\"49446912\"]\n  10 [size=\"95180800\", alpha=\"0.18\", expect_size=\"47590400\"] \n  10 -> 11 [size =\"47590400\"]\n  11 [size=\"76081152\", alpha=\"0.05\", expect_size=\"38040576\"] \n  11 -> 12 [size =\"38040576\"]\n  12 [size=\"84334592\", alpha=\"0.12\", expect_size=\"42167296\"] \n  12 -> 13 [size =\"42167296\"]\n  13 [size=\"47196160\", alpha=\"0.02\", expect_size=\"23598080\"] \n  13 -> 14 [size =\"23598080\"]\n  14 [size=\"61599744\", alpha=\"0.01\", expect_size=\"30799872\"] \n  14 -> 15 [size =\"30799872\"]\n  15 [size=\"77824000\", alpha=\"0.06\", expect_size=\"38912000\"] \n  15 -> 16 [size =\"38912000\"]\n  16 [size=\"56260608\", alpha=\"0.14\", expect_size=\"28130304\"] \n  16 -> 17 [size =\"28130304\"]\n  17 [size=\"72871936\", alpha=\"0.14\", expect_size=\"36435968\"] \n  17 -> 18 [size =\"36435968\"]\n  18 [size=\"36440064\", alpha=\"0.08\", expect_size=\"18220032\"] \n  18 -> 19 [size =\"18220032\"]\n  19 [size=\"98488320\", alpha=\"0.01\", expect_size=\"49244160\"] \n  19 -> 20 [size =\"49244160\"]\n  20 [size=\"42598400\", alpha=\"0.18\", expect_size=\"21299200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123040427\", alpha=\"0.14\", expect_size=\"36912128\"] \n  1 -> 3 [size =\"36912128\"]\n  1 -> 4 [size =\"36912128\"]\n  2 [size=\"156296533\", alpha=\"0.20\", expect_size=\"46888960\"] \n  2 -> 4 [size =\"46888960\"]\n  3 [size=\"90685440\", alpha=\"0.04\", expect_size=\"27205632\"] \n  3 -> 6 [size =\"27205632\"]\n  4 [size=\"145452373\", alpha=\"0.15\", expect_size=\"43635712\"] \n  4 -> 5 [size =\"43635712\"]\n  5 [size=\"153374720\", alpha=\"0.01\", expect_size=\"46012416\"] \n  5 -> 7 [size =\"46012416\"]\n  6 [size=\"53756587\", alpha=\"0.17\", expect_size=\"16126976\"] \n  6 -> 7 [size =\"16126976\"]\n  7 [size=\"26978987\", alpha=\"0.01\", expect_size=\"8093696\"] \n  7 -> 8 [size =\"8093696\"]\n  8 [size=\"50425173\", alpha=\"0.09\", expect_size=\"15127552\"] \n  8 -> 9 [size =\"15127552\"]\n  9 [size=\"76127573\", alpha=\"0.13\", expect_size=\"22838272\"] \n  9 -> 10 [size =\"22838272\"]\n  9 -> 11 [size =\"22838272\"]\n  10 [size=\"85558613\", alpha=\"0.20\", expect_size=\"25667584\"] \n  11 [size=\"156627627\", alpha=\"0.16\", expect_size=\"46988288\"] \n  11 -> 12 [size =\"46988288\"]\n  12 [size=\"108339200\", alpha=\"0.09\", expect_size=\"32501760\"] \n  12 -> 13 [size =\"32501760\"]\n  13 [size=\"105048747\", alpha=\"0.09\", expect_size=\"31514624\"] \n  13 -> 14 [size =\"31514624\"]\n  13 -> 15 [size =\"31514624\"]\n  14 [size=\"139472213\", alpha=\"0.10\", expect_size=\"41841664\"] \n  14 -> 16 [size =\"41841664\"]\n  15 [size=\"96310613\", alpha=\"0.07\", expect_size=\"28893184\"] \n  15 -> 16 [size =\"28893184\"]\n  16 [size=\"107243520\", alpha=\"0.19\", expect_size=\"32173056\"] \n  16 -> 17 [size =\"32173056\"]\n  17 [size=\"83503787\", alpha=\"0.15\", expect_size=\"25051136\"] \n  17 -> 18 [size =\"25051136\"]\n  18 [size=\"93754027\", alpha=\"0.04\", expect_size=\"28126208\"] \n  18 -> 19 [size =\"28126208\"]\n  19 [size=\"164829867\", alpha=\"0.05\", expect_size=\"49448960\"] \n  19 -> 20 [size =\"49448960\"]\n  20 [size=\"111933440\", alpha=\"0.13\", expect_size=\"33580032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107269120\", alpha=\"0.10\", expect_size=\"42907648\"] \n  1 -> 5 [size =\"42907648\"]\n  1 -> 7 [size =\"42907648\"]\n  2 [size=\"86502400\", alpha=\"0.01\", expect_size=\"34600960\"] \n  2 -> 5 [size =\"34600960\"]\n  2 -> 6 [size =\"34600960\"]\n  2 -> 8 [size =\"34600960\"]\n  3 [size=\"103060480\", alpha=\"0.18\", expect_size=\"41224192\"] \n  3 -> 5 [size =\"41224192\"]\n  3 -> 6 [size =\"41224192\"]\n  3 -> 8 [size =\"41224192\"]\n  4 [size=\"64755200\", alpha=\"0.06\", expect_size=\"25902080\"] \n  4 -> 5 [size =\"25902080\"]\n  4 -> 6 [size =\"25902080\"]\n  4 -> 7 [size =\"25902080\"]\n  4 -> 8 [size =\"25902080\"]\n  5 [size=\"19363840\", alpha=\"0.18\", expect_size=\"7745536\"] \n  5 -> 9 [size =\"7745536\"]\n  5 -> 10 [size =\"7745536\"]\n  6 [size=\"108014080\", alpha=\"0.09\", expect_size=\"43205632\"] \n  6 -> 9 [size =\"43205632\"]\n  6 -> 10 [size =\"43205632\"]\n  7 [size=\"37632000\", alpha=\"0.10\", expect_size=\"15052800\"] \n  7 -> 9 [size =\"15052800\"]\n  7 -> 10 [size =\"15052800\"]\n  7 -> 11 [size =\"15052800\"]\n  8 [size=\"78812160\", alpha=\"0.19\", expect_size=\"31524864\"] \n  8 -> 9 [size =\"31524864\"]\n  8 -> 10 [size =\"31524864\"]\n  9 [size=\"66247680\", alpha=\"0.14\", expect_size=\"26499072\"] \n  9 -> 12 [size =\"26499072\"]\n  9 -> 13 [size =\"26499072\"]\n  10 [size=\"83901440\", alpha=\"0.01\", expect_size=\"33560576\"] \n  10 -> 12 [size =\"33560576\"]\n  10 -> 13 [size =\"33560576\"]\n  11 [size=\"22384640\", alpha=\"0.14\", expect_size=\"8953856\"] \n  11 -> 12 [size =\"8953856\"]\n  11 -> 14 [size =\"8953856\"]\n  12 [size=\"81528320\", alpha=\"0.19\", expect_size=\"32611328\"] \n  12 -> 15 [size =\"32611328\"]\n  12 -> 16 [size =\"32611328\"]\n  13 [size=\"85888000\", alpha=\"0.02\", expect_size=\"34355200\"] \n  13 -> 15 [size =\"34355200\"]\n  13 -> 16 [size =\"34355200\"]\n  13 -> 17 [size =\"34355200\"]\n  14 [size=\"74995200\", alpha=\"0.00\", expect_size=\"29998080\"] \n  14 -> 15 [size =\"29998080\"]\n  14 -> 16 [size =\"29998080\"]\n  14 -> 17 [size =\"29998080\"]\n  15 [size=\"108659200\", alpha=\"0.02\", expect_size=\"43463680\"] \n  15 -> 18 [size =\"43463680\"]\n  15 -> 19 [size =\"43463680\"]\n  15 -> 20 [size =\"43463680\"]\n  16 [size=\"99297280\", alpha=\"0.17\", expect_size=\"39718912\"] \n  16 -> 18 [size =\"39718912\"]\n  16 -> 19 [size =\"39718912\"]\n  16 -> 20 [size =\"39718912\"]\n  17 [size=\"34839040\", alpha=\"0.16\", expect_size=\"13935616\"] \n  17 -> 18 [size =\"13935616\"]\n  17 -> 19 [size =\"13935616\"]\n  17 -> 20 [size =\"13935616\"]\n  18 [size=\"92971520\", alpha=\"0.04\", expect_size=\"37188608\"] \n  19 [size=\"88468480\", alpha=\"0.10\", expect_size=\"35387392\"] \n  20 [size=\"55498240\", alpha=\"0.19\", expect_size=\"22199296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146128213\", alpha=\"0.10\", expect_size=\"43838464\"] \n  1 -> 2 [size =\"43838464\"]\n  2 [size=\"79977813\", alpha=\"0.16\", expect_size=\"23993344\"] \n  2 -> 3 [size =\"23993344\"]\n  3 [size=\"130611200\", alpha=\"0.07\", expect_size=\"39183360\"] \n  3 -> 4 [size =\"39183360\"]\n  4 [size=\"69686613\", alpha=\"0.10\", expect_size=\"20905984\"] \n  4 -> 5 [size =\"20905984\"]\n  4 -> 6 [size =\"20905984\"]\n  5 [size=\"72383147\", alpha=\"0.00\", expect_size=\"21714944\"] \n  5 -> 7 [size =\"21714944\"]\n  6 [size=\"100184747\", alpha=\"0.03\", expect_size=\"30055424\"] \n  7 [size=\"140980907\", alpha=\"0.05\", expect_size=\"42294272\"] \n  7 -> 8 [size =\"42294272\"]\n  7 -> 9 [size =\"42294272\"]\n  8 [size=\"77428053\", alpha=\"0.05\", expect_size=\"23228416\"] \n  8 -> 10 [size =\"23228416\"]\n  9 [size=\"83182933\", alpha=\"0.12\", expect_size=\"24954880\"] \n  9 -> 10 [size =\"24954880\"]\n  9 -> 11 [size =\"24954880\"]\n  10 [size=\"123815253\", alpha=\"0.19\", expect_size=\"37144576\"] \n  10 -> 12 [size =\"37144576\"]\n  11 [size=\"158904320\", alpha=\"0.01\", expect_size=\"47671296\"] \n  12 [size=\"80872107\", alpha=\"0.06\", expect_size=\"24261632\"] \n  12 -> 13 [size =\"24261632\"]\n  13 [size=\"50619733\", alpha=\"0.02\", expect_size=\"15185920\"] \n  13 -> 14 [size =\"15185920\"]\n  13 -> 15 [size =\"15185920\"]\n  14 [size=\"103239680\", alpha=\"0.13\", expect_size=\"30971904\"] \n  15 [size=\"26050560\", alpha=\"0.03\", expect_size=\"7815168\"] \n  15 -> 16 [size =\"7815168\"]\n  16 [size=\"26166613\", alpha=\"0.20\", expect_size=\"7849984\"] \n  16 -> 17 [size =\"7849984\"]\n  17 [size=\"51036160\", alpha=\"0.16\", expect_size=\"15310848\"] \n  17 -> 18 [size =\"15310848\"]\n  18 [size=\"87900160\", alpha=\"0.05\", expect_size=\"26370048\"] \n  18 -> 19 [size =\"26370048\"]\n  19 [size=\"128150187\", alpha=\"0.10\", expect_size=\"38445056\"] \n  19 -> 20 [size =\"38445056\"]\n  20 [size=\"64283307\", alpha=\"0.03\", expect_size=\"19284992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124873387\", alpha=\"0.02\", expect_size=\"37462016\"] \n  2 [size=\"25651200\", alpha=\"0.07\", expect_size=\"7695360\"] \n  2 -> 9 [size =\"7695360\"]\n  3 [size=\"119910400\", alpha=\"0.03\", expect_size=\"35973120\"] \n  3 -> 6 [size =\"35973120\"]\n  3 -> 8 [size =\"35973120\"]\n  4 [size=\"67604480\", alpha=\"0.15\", expect_size=\"20281344\"] \n  4 -> 8 [size =\"20281344\"]\n  4 -> 9 [size =\"20281344\"]\n  5 [size=\"83968000\", alpha=\"0.14\", expect_size=\"25190400\"] \n  5 -> 6 [size =\"25190400\"]\n  5 -> 7 [size =\"25190400\"]\n  6 [size=\"39284053\", alpha=\"0.05\", expect_size=\"11785216\"] \n  6 -> 10 [size =\"11785216\"]\n  7 [size=\"42468693\", alpha=\"0.15\", expect_size=\"12740608\"] \n  7 -> 10 [size =\"12740608\"]\n  7 -> 11 [size =\"12740608\"]\n  7 -> 12 [size =\"12740608\"]\n  8 [size=\"30733653\", alpha=\"0.07\", expect_size=\"9220096\"] \n  8 -> 13 [size =\"9220096\"]\n  9 [size=\"110865067\", alpha=\"0.06\", expect_size=\"33259520\"] \n  9 -> 12 [size =\"33259520\"]\n  9 -> 13 [size =\"33259520\"]\n  10 [size=\"93416107\", alpha=\"0.13\", expect_size=\"28024832\"] \n  10 -> 15 [size =\"28024832\"]\n  10 -> 16 [size =\"28024832\"]\n  11 [size=\"40086187\", alpha=\"0.01\", expect_size=\"12025856\"] \n  11 -> 14 [size =\"12025856\"]\n  11 -> 15 [size =\"12025856\"]\n  12 [size=\"56995840\", alpha=\"0.11\", expect_size=\"17098752\"] \n  12 -> 14 [size =\"17098752\"]\n  13 [size=\"114210133\", alpha=\"0.16\", expect_size=\"34263040\"] \n  14 [size=\"138267307\", alpha=\"0.16\", expect_size=\"41480192\"] \n  14 -> 17 [size =\"41480192\"]\n  14 -> 19 [size =\"41480192\"]\n  15 [size=\"96375467\", alpha=\"0.16\", expect_size=\"28912640\"] \n  15 -> 18 [size =\"28912640\"]\n  16 [size=\"51671040\", alpha=\"0.03\", expect_size=\"15501312\"] \n  16 -> 20 [size =\"15501312\"]\n  17 [size=\"90094933\", alpha=\"0.03\", expect_size=\"27028480\"] \n  18 [size=\"49418240\", alpha=\"0.02\", expect_size=\"14825472\"] \n  19 [size=\"100833280\", alpha=\"0.04\", expect_size=\"30249984\"] \n  20 [size=\"147705173\", alpha=\"0.20\", expect_size=\"44311552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53979136\", alpha=\"0.06\", expect_size=\"26989568\"] \n  1 -> 11 [size =\"26989568\"]\n  1 -> 14 [size =\"26989568\"]\n  1 -> 15 [size =\"26989568\"]\n  1 -> 16 [size =\"26989568\"]\n  2 [size=\"77170688\", alpha=\"0.12\", expect_size=\"38585344\"] \n  2 -> 16 [size =\"38585344\"]\n  3 [size=\"93896704\", alpha=\"0.19\", expect_size=\"46948352\"] \n  3 -> 11 [size =\"46948352\"]\n  3 -> 14 [size =\"46948352\"]\n  3 -> 16 [size =\"46948352\"]\n  4 [size=\"83347456\", alpha=\"0.15\", expect_size=\"41673728\"] \n  4 -> 13 [size =\"41673728\"]\n  4 -> 14 [size =\"41673728\"]\n  4 -> 16 [size =\"41673728\"]\n  5 [size=\"87889920\", alpha=\"0.05\", expect_size=\"43944960\"] \n  5 -> 10 [size =\"43944960\"]\n  5 -> 13 [size =\"43944960\"]\n  5 -> 14 [size =\"43944960\"]\n  5 -> 15 [size =\"43944960\"]\n  6 [size=\"98947072\", alpha=\"0.20\", expect_size=\"49473536\"] \n  6 -> 14 [size =\"49473536\"]\n  6 -> 15 [size =\"49473536\"]\n  6 -> 16 [size =\"49473536\"]\n  7 [size=\"90869760\", alpha=\"0.10\", expect_size=\"45434880\"] \n  7 -> 12 [size =\"45434880\"]\n  7 -> 13 [size =\"45434880\"]\n  7 -> 14 [size =\"45434880\"]\n  7 -> 15 [size =\"45434880\"]\n  8 [size=\"23015424\", alpha=\"0.12\", expect_size=\"11507712\"] \n  8 -> 13 [size =\"11507712\"]\n  8 -> 15 [size =\"11507712\"]\n  8 -> 16 [size =\"11507712\"]\n  9 [size=\"54550528\", alpha=\"0.13\", expect_size=\"27275264\"] \n  9 -> 11 [size =\"27275264\"]\n  9 -> 15 [size =\"27275264\"]\n  10 [size=\"25960448\", alpha=\"0.02\", expect_size=\"12980224\"] \n  10 -> 17 [size =\"12980224\"]\n  10 -> 19 [size =\"12980224\"]\n  10 -> 20 [size =\"12980224\"]\n  11 [size=\"90499072\", alpha=\"0.19\", expect_size=\"45249536\"] \n  11 -> 18 [size =\"45249536\"]\n  11 -> 20 [size =\"45249536\"]\n  12 [size=\"22980608\", alpha=\"0.00\", expect_size=\"11490304\"] \n  12 -> 17 [size =\"11490304\"]\n  12 -> 18 [size =\"11490304\"]\n  12 -> 19 [size =\"11490304\"]\n  13 [size=\"77387776\", alpha=\"0.08\", expect_size=\"38693888\"] \n  13 -> 17 [size =\"38693888\"]\n  13 -> 18 [size =\"38693888\"]\n  13 -> 19 [size =\"38693888\"]\n  14 [size=\"73347072\", alpha=\"0.16\", expect_size=\"36673536\"] \n  14 -> 17 [size =\"36673536\"]\n  14 -> 19 [size =\"36673536\"]\n  14 -> 20 [size =\"36673536\"]\n  15 [size=\"51863552\", alpha=\"0.19\", expect_size=\"25931776\"] \n  15 -> 18 [size =\"25931776\"]\n  15 -> 20 [size =\"25931776\"]\n  16 [size=\"74387456\", alpha=\"0.09\", expect_size=\"37193728\"] \n  16 -> 18 [size =\"37193728\"]\n  16 -> 19 [size =\"37193728\"]\n  17 [size=\"73799680\", alpha=\"0.14\", expect_size=\"36899840\"] \n  18 [size=\"27209728\", alpha=\"0.07\", expect_size=\"13604864\"] \n  19 [size=\"86007808\", alpha=\"0.13\", expect_size=\"43003904\"] \n  20 [size=\"53035008\", alpha=\"0.13\", expect_size=\"26517504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162194773\", alpha=\"0.14\", expect_size=\"48658432\"] \n  1 -> 6 [size =\"48658432\"]\n  1 -> 9 [size =\"48658432\"]\n  2 [size=\"24214187\", alpha=\"0.05\", expect_size=\"7264256\"] \n  2 -> 6 [size =\"7264256\"]\n  2 -> 8 [size =\"7264256\"]\n  3 [size=\"105895253\", alpha=\"0.05\", expect_size=\"31768576\"] \n  3 -> 6 [size =\"31768576\"]\n  3 -> 7 [size =\"31768576\"]\n  3 -> 8 [size =\"31768576\"]\n  3 -> 9 [size =\"31768576\"]\n  4 [size=\"131409920\", alpha=\"0.05\", expect_size=\"39422976\"] \n  4 -> 7 [size =\"39422976\"]\n  4 -> 8 [size =\"39422976\"]\n  5 [size=\"144203093\", alpha=\"0.02\", expect_size=\"43260928\"] \n  5 -> 7 [size =\"43260928\"]\n  5 -> 8 [size =\"43260928\"]\n  6 [size=\"165092693\", alpha=\"0.05\", expect_size=\"49527808\"] \n  6 -> 11 [size =\"49527808\"]\n  7 [size=\"27852800\", alpha=\"0.10\", expect_size=\"8355840\"] \n  7 -> 10 [size =\"8355840\"]\n  8 [size=\"68884480\", alpha=\"0.15\", expect_size=\"20665344\"] \n  8 -> 11 [size =\"20665344\"]\n  9 [size=\"73925973\", alpha=\"0.10\", expect_size=\"22177792\"] \n  9 -> 11 [size =\"22177792\"]\n  9 -> 12 [size =\"22177792\"]\n  10 [size=\"118278827\", alpha=\"0.14\", expect_size=\"35483648\"] \n  10 -> 13 [size =\"35483648\"]\n  10 -> 15 [size =\"35483648\"]\n  11 [size=\"152528213\", alpha=\"0.17\", expect_size=\"45758464\"] \n  11 -> 13 [size =\"45758464\"]\n  11 -> 14 [size =\"45758464\"]\n  11 -> 15 [size =\"45758464\"]\n  11 -> 16 [size =\"45758464\"]\n  12 [size=\"101819733\", alpha=\"0.16\", expect_size=\"30545920\"] \n  13 [size=\"144186027\", alpha=\"0.16\", expect_size=\"43255808\"] \n  13 -> 18 [size =\"43255808\"]\n  14 [size=\"24958293\", alpha=\"0.15\", expect_size=\"7487488\"] \n  15 [size=\"64488107\", alpha=\"0.02\", expect_size=\"19346432\"] \n  15 -> 17 [size =\"19346432\"]\n  15 -> 19 [size =\"19346432\"]\n  16 [size=\"83350187\", alpha=\"0.15\", expect_size=\"25005056\"] \n  16 -> 18 [size =\"25005056\"]\n  17 [size=\"119019520\", alpha=\"0.16\", expect_size=\"35705856\"] \n  18 [size=\"43062613\", alpha=\"0.15\", expect_size=\"12918784\"] \n  19 [size=\"160768000\", alpha=\"0.13\", expect_size=\"48230400\"] \n  19 -> 20 [size =\"48230400\"]\n  20 [size=\"85418667\", alpha=\"0.03\", expect_size=\"25625600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39098880\", alpha=\"0.06\", expect_size=\"15639552\"] \n  1 -> 2 [size =\"15639552\"]\n  2 [size=\"39121920\", alpha=\"0.18\", expect_size=\"15648768\"] \n  2 -> 3 [size =\"15648768\"]\n  3 [size=\"39498240\", alpha=\"0.14\", expect_size=\"15799296\"] \n  3 -> 4 [size =\"15799296\"]\n  4 [size=\"47544320\", alpha=\"0.01\", expect_size=\"19017728\"] \n  4 -> 5 [size =\"19017728\"]\n  5 [size=\"57244160\", alpha=\"0.14\", expect_size=\"22897664\"] \n  5 -> 6 [size =\"22897664\"]\n  6 [size=\"18055680\", alpha=\"0.01\", expect_size=\"7222272\"] \n  6 -> 7 [size =\"7222272\"]\n  7 [size=\"80417280\", alpha=\"0.05\", expect_size=\"32166912\"] \n  7 -> 8 [size =\"32166912\"]\n  8 [size=\"80509440\", alpha=\"0.01\", expect_size=\"32203776\"] \n  8 -> 9 [size =\"32203776\"]\n  9 [size=\"71526400\", alpha=\"0.10\", expect_size=\"28610560\"] \n  9 -> 10 [size =\"28610560\"]\n  10 [size=\"65786880\", alpha=\"0.17\", expect_size=\"26314752\"] \n  10 -> 11 [size =\"26314752\"]\n  11 [size=\"22883840\", alpha=\"0.15\", expect_size=\"9153536\"] \n  11 -> 12 [size =\"9153536\"]\n  12 [size=\"55774720\", alpha=\"0.14\", expect_size=\"22309888\"] \n  12 -> 13 [size =\"22309888\"]\n  13 [size=\"46650880\", alpha=\"0.02\", expect_size=\"18660352\"] \n  13 -> 14 [size =\"18660352\"]\n  14 [size=\"129909760\", alpha=\"0.09\", expect_size=\"51963904\"] \n  14 -> 15 [size =\"51963904\"]\n  15 [size=\"18030080\", alpha=\"0.10\", expect_size=\"7212032\"] \n  15 -> 16 [size =\"7212032\"]\n  16 [size=\"102366720\", alpha=\"0.01\", expect_size=\"40946688\"] \n  16 -> 17 [size =\"40946688\"]\n  17 [size=\"106329600\", alpha=\"0.15\", expect_size=\"42531840\"] \n  17 -> 18 [size =\"42531840\"]\n  18 [size=\"19806720\", alpha=\"0.10\", expect_size=\"7922688\"] \n  18 -> 19 [size =\"7922688\"]\n  19 [size=\"26270720\", alpha=\"0.19\", expect_size=\"10508288\"] \n  19 -> 20 [size =\"10508288\"]\n  20 [size=\"82337280\", alpha=\"0.05\", expect_size=\"32934912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31887360\", alpha=\"0.15\", expect_size=\"15943680\"] \n  1 -> 3 [size =\"15943680\"]\n  2 [size=\"36345856\", alpha=\"0.01\", expect_size=\"18172928\"] \n  3 [size=\"76924928\", alpha=\"0.01\", expect_size=\"38462464\"] \n  3 -> 4 [size =\"38462464\"]\n  4 [size=\"37283840\", alpha=\"0.06\", expect_size=\"18641920\"] \n  4 -> 5 [size =\"18641920\"]\n  5 [size=\"44486656\", alpha=\"0.03\", expect_size=\"22243328\"] \n  5 -> 6 [size =\"22243328\"]\n  5 -> 7 [size =\"22243328\"]\n  6 [size=\"30783488\", alpha=\"0.10\", expect_size=\"15391744\"] \n  6 -> 8 [size =\"15391744\"]\n  7 [size=\"68943872\", alpha=\"0.10\", expect_size=\"34471936\"] \n  8 [size=\"101593088\", alpha=\"0.16\", expect_size=\"50796544\"] \n  8 -> 9 [size =\"50796544\"]\n  9 [size=\"85141504\", alpha=\"0.00\", expect_size=\"42570752\"] \n  9 -> 10 [size =\"42570752\"]\n  10 [size=\"47136768\", alpha=\"0.03\", expect_size=\"23568384\"] \n  10 -> 11 [size =\"23568384\"]\n  11 [size=\"12941312\", alpha=\"0.17\", expect_size=\"6470656\"] \n  11 -> 12 [size =\"6470656\"]\n  11 -> 13 [size =\"6470656\"]\n  12 [size=\"81573888\", alpha=\"0.02\", expect_size=\"40786944\"] \n  12 -> 14 [size =\"40786944\"]\n  13 [size=\"84447232\", alpha=\"0.19\", expect_size=\"42223616\"] \n  14 [size=\"88635392\", alpha=\"0.02\", expect_size=\"44317696\"] \n  14 -> 15 [size =\"44317696\"]\n  15 [size=\"22642688\", alpha=\"0.02\", expect_size=\"11321344\"] \n  15 -> 16 [size =\"11321344\"]\n  15 -> 17 [size =\"11321344\"]\n  16 [size=\"36661248\", alpha=\"0.12\", expect_size=\"18330624\"] \n  16 -> 18 [size =\"18330624\"]\n  17 [size=\"81883136\", alpha=\"0.15\", expect_size=\"40941568\"] \n  18 [size=\"36569088\", alpha=\"0.01\", expect_size=\"18284544\"] \n  18 -> 19 [size =\"18284544\"]\n  19 [size=\"16967680\", alpha=\"0.08\", expect_size=\"8483840\"] \n  19 -> 20 [size =\"8483840\"]\n  20 [size=\"17432576\", alpha=\"0.01\", expect_size=\"8716288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120855893\", alpha=\"0.08\", expect_size=\"36256768\"] \n  1 -> 2 [size =\"36256768\"]\n  2 [size=\"102580907\", alpha=\"0.13\", expect_size=\"30774272\"] \n  2 -> 3 [size =\"30774272\"]\n  3 [size=\"87681707\", alpha=\"0.08\", expect_size=\"26304512\"] \n  3 -> 4 [size =\"26304512\"]\n  4 [size=\"75205973\", alpha=\"0.08\", expect_size=\"22561792\"] \n  4 -> 5 [size =\"22561792\"]\n  5 [size=\"146223787\", alpha=\"0.04\", expect_size=\"43867136\"] \n  5 -> 6 [size =\"43867136\"]\n  6 [size=\"37570560\", alpha=\"0.05\", expect_size=\"11271168\"] \n  6 -> 7 [size =\"11271168\"]\n  7 [size=\"173243733\", alpha=\"0.01\", expect_size=\"51973120\"] \n  7 -> 8 [size =\"51973120\"]\n  8 [size=\"113793707\", alpha=\"0.01\", expect_size=\"34138112\"] \n  8 -> 9 [size =\"34138112\"]\n  9 [size=\"128645120\", alpha=\"0.09\", expect_size=\"38593536\"] \n  9 -> 10 [size =\"38593536\"]\n  10 [size=\"19957760\", alpha=\"0.16\", expect_size=\"5987328\"] \n  10 -> 11 [size =\"5987328\"]\n  11 [size=\"57077760\", alpha=\"0.13\", expect_size=\"17123328\"] \n  11 -> 12 [size =\"17123328\"]\n  12 [size=\"121552213\", alpha=\"0.12\", expect_size=\"36465664\"] \n  12 -> 13 [size =\"36465664\"]\n  13 [size=\"65949013\", alpha=\"0.11\", expect_size=\"19784704\"] \n  13 -> 14 [size =\"19784704\"]\n  14 [size=\"128747520\", alpha=\"0.17\", expect_size=\"38624256\"] \n  14 -> 15 [size =\"38624256\"]\n  15 [size=\"34501973\", alpha=\"0.17\", expect_size=\"10350592\"] \n  15 -> 16 [size =\"10350592\"]\n  16 [size=\"69355520\", alpha=\"0.13\", expect_size=\"20806656\"] \n  16 -> 17 [size =\"20806656\"]\n  17 [size=\"105321813\", alpha=\"0.02\", expect_size=\"31596544\"] \n  17 -> 18 [size =\"31596544\"]\n  18 [size=\"114216960\", alpha=\"0.05\", expect_size=\"34265088\"] \n  18 -> 19 [size =\"34265088\"]\n  19 [size=\"122845867\", alpha=\"0.08\", expect_size=\"36853760\"] \n  19 -> 20 [size =\"36853760\"]\n  20 [size=\"35140267\", alpha=\"0.19\", expect_size=\"10542080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72335360\", alpha=\"0.08\", expect_size=\"28934144\"] \n  1 -> 2 [size =\"28934144\"]\n  2 [size=\"99752960\", alpha=\"0.07\", expect_size=\"39901184\"] \n  2 -> 3 [size =\"39901184\"]\n  2 -> 4 [size =\"39901184\"]\n  3 [size=\"77521920\", alpha=\"0.06\", expect_size=\"31008768\"] \n  3 -> 5 [size =\"31008768\"]\n  3 -> 6 [size =\"31008768\"]\n  4 [size=\"81523200\", alpha=\"0.16\", expect_size=\"32609280\"] \n  4 -> 6 [size =\"32609280\"]\n  5 [size=\"114273280\", alpha=\"0.10\", expect_size=\"45709312\"] \n  5 -> 8 [size =\"45709312\"]\n  6 [size=\"102428160\", alpha=\"0.02\", expect_size=\"40971264\"] \n  6 -> 7 [size =\"40971264\"]\n  7 [size=\"25144320\", alpha=\"0.04\", expect_size=\"10057728\"] \n  7 -> 9 [size =\"10057728\"]\n  7 -> 10 [size =\"10057728\"]\n  8 [size=\"99584000\", alpha=\"0.17\", expect_size=\"39833600\"] \n  8 -> 9 [size =\"39833600\"]\n  8 -> 10 [size =\"39833600\"]\n  9 [size=\"63751680\", alpha=\"0.08\", expect_size=\"25500672\"] \n  9 -> 11 [size =\"25500672\"]\n  10 [size=\"21578240\", alpha=\"0.11\", expect_size=\"8631296\"] \n  10 -> 12 [size =\"8631296\"]\n  11 [size=\"111736320\", alpha=\"0.11\", expect_size=\"44694528\"] \n  11 -> 13 [size =\"44694528\"]\n  12 [size=\"40732160\", alpha=\"0.07\", expect_size=\"16292864\"] \n  12 -> 13 [size =\"16292864\"]\n  12 -> 14 [size =\"16292864\"]\n  13 [size=\"79324160\", alpha=\"0.03\", expect_size=\"31729664\"] \n  13 -> 15 [size =\"31729664\"]\n  13 -> 16 [size =\"31729664\"]\n  14 [size=\"114396160\", alpha=\"0.15\", expect_size=\"45758464\"] \n  15 [size=\"87971840\", alpha=\"0.03\", expect_size=\"35188736\"] \n  15 -> 17 [size =\"35188736\"]\n  16 [size=\"30699520\", alpha=\"0.00\", expect_size=\"12279808\"] \n  16 -> 17 [size =\"12279808\"]\n  17 [size=\"42147840\", alpha=\"0.03\", expect_size=\"16859136\"] \n  17 -> 18 [size =\"16859136\"]\n  18 [size=\"65556480\", alpha=\"0.17\", expect_size=\"26222592\"] \n  18 -> 19 [size =\"26222592\"]\n  18 -> 20 [size =\"26222592\"]\n  19 [size=\"50071040\", alpha=\"0.07\", expect_size=\"20028416\"] \n  20 [size=\"99281920\", alpha=\"0.18\", expect_size=\"39712768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102013440\", alpha=\"0.02\", expect_size=\"40805376\"] \n  1 -> 5 [size =\"40805376\"]\n  1 -> 6 [size =\"40805376\"]\n  1 -> 7 [size =\"40805376\"]\n  2 [size=\"90708480\", alpha=\"0.04\", expect_size=\"36283392\"] \n  2 -> 5 [size =\"36283392\"]\n  2 -> 6 [size =\"36283392\"]\n  3 [size=\"102627840\", alpha=\"0.16\", expect_size=\"41051136\"] \n  3 -> 5 [size =\"41051136\"]\n  3 -> 6 [size =\"41051136\"]\n  4 [size=\"115159040\", alpha=\"0.09\", expect_size=\"46063616\"] \n  4 -> 5 [size =\"46063616\"]\n  5 [size=\"40883200\", alpha=\"0.06\", expect_size=\"16353280\"] \n  5 -> 8 [size =\"16353280\"]\n  5 -> 9 [size =\"16353280\"]\n  5 -> 10 [size =\"16353280\"]\n  5 -> 11 [size =\"16353280\"]\n  6 [size=\"76272640\", alpha=\"0.12\", expect_size=\"30509056\"] \n  6 -> 10 [size =\"30509056\"]\n  7 [size=\"25536000\", alpha=\"0.11\", expect_size=\"10214400\"] \n  7 -> 9 [size =\"10214400\"]\n  7 -> 10 [size =\"10214400\"]\n  8 [size=\"36989440\", alpha=\"0.04\", expect_size=\"14795776\"] \n  8 -> 13 [size =\"14795776\"]\n  9 [size=\"105656320\", alpha=\"0.15\", expect_size=\"42262528\"] \n  9 -> 14 [size =\"42262528\"]\n  10 [size=\"21624320\", alpha=\"0.16\", expect_size=\"8649728\"] \n  10 -> 12 [size =\"8649728\"]\n  10 -> 14 [size =\"8649728\"]\n  11 [size=\"33175040\", alpha=\"0.16\", expect_size=\"13270016\"] \n  12 [size=\"43924480\", alpha=\"0.10\", expect_size=\"17569792\"] \n  12 -> 15 [size =\"17569792\"]\n  12 -> 16 [size =\"17569792\"]\n  12 -> 17 [size =\"17569792\"]\n  13 [size=\"69073920\", alpha=\"0.11\", expect_size=\"27629568\"] \n  13 -> 15 [size =\"27629568\"]\n  13 -> 16 [size =\"27629568\"]\n  13 -> 17 [size =\"27629568\"]\n  14 [size=\"43048960\", alpha=\"0.13\", expect_size=\"17219584\"] \n  14 -> 17 [size =\"17219584\"]\n  15 [size=\"98803200\", alpha=\"0.01\", expect_size=\"39521280\"] \n  15 -> 19 [size =\"39521280\"]\n  16 [size=\"13450240\", alpha=\"0.15\", expect_size=\"5380096\"] \n  16 -> 18 [size =\"5380096\"]\n  17 [size=\"86635520\", alpha=\"0.16\", expect_size=\"34654208\"] \n  18 [size=\"36113920\", alpha=\"0.03\", expect_size=\"14445568\"] \n  18 -> 20 [size =\"14445568\"]\n  19 [size=\"60451840\", alpha=\"0.13\", expect_size=\"24180736\"] \n  19 -> 20 [size =\"24180736\"]\n  20 [size=\"32471040\", alpha=\"0.06\", expect_size=\"12988416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55859200\", alpha=\"0.14\", expect_size=\"16757760\"] \n  1 -> 12 [size =\"16757760\"]\n  2 [size=\"123825493\", alpha=\"0.09\", expect_size=\"37147648\"] \n  2 -> 14 [size =\"37147648\"]\n  2 -> 15 [size =\"37147648\"]\n  3 [size=\"70833493\", alpha=\"0.03\", expect_size=\"21250048\"] \n  3 -> 10 [size =\"21250048\"]\n  3 -> 13 [size =\"21250048\"]\n  3 -> 14 [size =\"21250048\"]\n  3 -> 15 [size =\"21250048\"]\n  4 [size=\"81957547\", alpha=\"0.11\", expect_size=\"24587264\"] \n  4 -> 13 [size =\"24587264\"]\n  5 [size=\"41014613\", alpha=\"0.18\", expect_size=\"12304384\"] \n  5 -> 11 [size =\"12304384\"]\n  5 -> 12 [size =\"12304384\"]\n  5 -> 13 [size =\"12304384\"]\n  5 -> 14 [size =\"12304384\"]\n  6 [size=\"24087893\", alpha=\"0.12\", expect_size=\"7226368\"] \n  6 -> 8 [size =\"7226368\"]\n  6 -> 13 [size =\"7226368\"]\n  7 [size=\"45315413\", alpha=\"0.15\", expect_size=\"13594624\"] \n  7 -> 9 [size =\"13594624\"]\n  7 -> 13 [size =\"13594624\"]\n  7 -> 15 [size =\"13594624\"]\n  8 [size=\"63846400\", alpha=\"0.04\", expect_size=\"19153920\"] \n  8 -> 17 [size =\"19153920\"]\n  8 -> 19 [size =\"19153920\"]\n  8 -> 20 [size =\"19153920\"]\n  9 [size=\"39693653\", alpha=\"0.05\", expect_size=\"11908096\"] \n  9 -> 16 [size =\"11908096\"]\n  9 -> 17 [size =\"11908096\"]\n  9 -> 18 [size =\"11908096\"]\n  10 [size=\"101529600\", alpha=\"0.04\", expect_size=\"30458880\"] \n  10 -> 17 [size =\"30458880\"]\n  10 -> 17 [size =\"30458880\"]\n  10 -> 18 [size =\"30458880\"]\n  11 [size=\"174028800\", alpha=\"0.02\", expect_size=\"52208640\"] \n  11 -> 18 [size =\"52208640\"]\n  12 [size=\"125098667\", alpha=\"0.15\", expect_size=\"37529600\"] \n  12 -> 16 [size =\"37529600\"]\n  12 -> 20 [size =\"37529600\"]\n  13 [size=\"36491947\", alpha=\"0.09\", expect_size=\"10947584\"] \n  13 -> 17 [size =\"10947584\"]\n  14 [size=\"60651520\", alpha=\"0.07\", expect_size=\"18195456\"] \n  14 -> 16 [size =\"18195456\"]\n  15 [size=\"144165547\", alpha=\"0.05\", expect_size=\"43249664\"] \n  16 [size=\"129273173\", alpha=\"0.09\", expect_size=\"38781952\"] \n  17 [size=\"65744213\", alpha=\"0.12\", expect_size=\"19723264\"] \n  18 [size=\"30153387\", alpha=\"0.13\", expect_size=\"9046016\"] \n  19 [size=\"63569920\", alpha=\"0.12\", expect_size=\"19070976\"] \n  20 [size=\"104389973\", alpha=\"0.14\", expect_size=\"31316992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99627520\", alpha=\"0.01\", expect_size=\"39851008\"] \n  1 -> 2 [size =\"39851008\"]\n  2 [size=\"72885760\", alpha=\"0.10\", expect_size=\"29154304\"] \n  2 -> 3 [size =\"29154304\"]\n  3 [size=\"27325440\", alpha=\"0.03\", expect_size=\"10930176\"] \n  3 -> 4 [size =\"10930176\"]\n  4 [size=\"57121280\", alpha=\"0.00\", expect_size=\"22848512\"] \n  4 -> 5 [size =\"22848512\"]\n  5 [size=\"28267520\", alpha=\"0.08\", expect_size=\"11307008\"] \n  5 -> 6 [size =\"11307008\"]\n  6 [size=\"61388800\", alpha=\"0.16\", expect_size=\"24555520\"] \n  6 -> 7 [size =\"24555520\"]\n  7 [size=\"87605760\", alpha=\"0.06\", expect_size=\"35042304\"] \n  7 -> 8 [size =\"35042304\"]\n  8 [size=\"110891520\", alpha=\"0.00\", expect_size=\"44356608\"] \n  8 -> 9 [size =\"44356608\"]\n  9 [size=\"111902720\", alpha=\"0.12\", expect_size=\"44761088\"] \n  9 -> 10 [size =\"44761088\"]\n  10 [size=\"24875520\", alpha=\"0.10\", expect_size=\"9950208\"] \n  10 -> 11 [size =\"9950208\"]\n  11 [size=\"87616000\", alpha=\"0.16\", expect_size=\"35046400\"] \n  11 -> 12 [size =\"35046400\"]\n  12 [size=\"91673600\", alpha=\"0.01\", expect_size=\"36669440\"] \n  12 -> 13 [size =\"36669440\"]\n  13 [size=\"30796800\", alpha=\"0.01\", expect_size=\"12318720\"] \n  13 -> 14 [size =\"12318720\"]\n  14 [size=\"47759360\", alpha=\"0.07\", expect_size=\"19103744\"] \n  14 -> 15 [size =\"19103744\"]\n  15 [size=\"49361920\", alpha=\"0.13\", expect_size=\"19744768\"] \n  15 -> 16 [size =\"19744768\"]\n  16 [size=\"96168960\", alpha=\"0.02\", expect_size=\"38467584\"] \n  16 -> 17 [size =\"38467584\"]\n  17 [size=\"71848960\", alpha=\"0.02\", expect_size=\"28739584\"] \n  17 -> 18 [size =\"28739584\"]\n  18 [size=\"107374080\", alpha=\"0.12\", expect_size=\"42949632\"] \n  18 -> 19 [size =\"42949632\"]\n  19 [size=\"108828160\", alpha=\"0.01\", expect_size=\"43531264\"] \n  19 -> 20 [size =\"43531264\"]\n  20 [size=\"59240960\", alpha=\"0.20\", expect_size=\"23696384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93032448\", alpha=\"0.09\", expect_size=\"46516224\"] \n  1 -> 2 [size =\"46516224\"]\n  2 [size=\"80787456\", alpha=\"0.09\", expect_size=\"40393728\"] \n  2 -> 3 [size =\"40393728\"]\n  3 [size=\"13826048\", alpha=\"0.17\", expect_size=\"6913024\"] \n  3 -> 4 [size =\"6913024\"]\n  4 [size=\"57243648\", alpha=\"0.18\", expect_size=\"28621824\"] \n  4 -> 5 [size =\"28621824\"]\n  5 [size=\"64872448\", alpha=\"0.19\", expect_size=\"32436224\"] \n  5 -> 6 [size =\"32436224\"]\n  6 [size=\"31664128\", alpha=\"0.11\", expect_size=\"15832064\"] \n  6 -> 7 [size =\"15832064\"]\n  7 [size=\"61063168\", alpha=\"0.15\", expect_size=\"30531584\"] \n  7 -> 8 [size =\"30531584\"]\n  8 [size=\"81412096\", alpha=\"0.05\", expect_size=\"40706048\"] \n  8 -> 9 [size =\"40706048\"]\n  9 [size=\"44740608\", alpha=\"0.15\", expect_size=\"22370304\"] \n  9 -> 10 [size =\"22370304\"]\n  10 [size=\"56522752\", alpha=\"0.11\", expect_size=\"28261376\"] \n  10 -> 11 [size =\"28261376\"]\n  11 [size=\"90028032\", alpha=\"0.19\", expect_size=\"45014016\"] \n  11 -> 12 [size =\"45014016\"]\n  12 [size=\"37148672\", alpha=\"0.13\", expect_size=\"18574336\"] \n  12 -> 13 [size =\"18574336\"]\n  13 [size=\"78895104\", alpha=\"0.11\", expect_size=\"39447552\"] \n  13 -> 14 [size =\"39447552\"]\n  14 [size=\"62738432\", alpha=\"0.11\", expect_size=\"31369216\"] \n  14 -> 15 [size =\"31369216\"]\n  15 [size=\"54765568\", alpha=\"0.14\", expect_size=\"27382784\"] \n  15 -> 16 [size =\"27382784\"]\n  16 [size=\"49008640\", alpha=\"0.19\", expect_size=\"24504320\"] \n  16 -> 17 [size =\"24504320\"]\n  17 [size=\"101681152\", alpha=\"0.07\", expect_size=\"50840576\"] \n  17 -> 18 [size =\"50840576\"]\n  18 [size=\"76650496\", alpha=\"0.10\", expect_size=\"38325248\"] \n  18 -> 19 [size =\"38325248\"]\n  19 [size=\"100091904\", alpha=\"0.13\", expect_size=\"50045952\"] \n  19 -> 20 [size =\"50045952\"]\n  20 [size=\"75048960\", alpha=\"0.16\", expect_size=\"37524480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46878720\", alpha=\"0.06\", expect_size=\"14063616\"] \n  1 -> 20 [size =\"14063616\"]\n  2 [size=\"124248747\", alpha=\"0.06\", expect_size=\"37274624\"] \n  2 -> 20 [size =\"37274624\"]\n  3 [size=\"47196160\", alpha=\"0.15\", expect_size=\"14158848\"] \n  3 -> 20 [size =\"14158848\"]\n  4 [size=\"114053120\", alpha=\"0.18\", expect_size=\"34215936\"] \n  4 -> 20 [size =\"34215936\"]\n  5 [size=\"168352427\", alpha=\"0.01\", expect_size=\"50505728\"] \n  5 -> 20 [size =\"50505728\"]\n  6 [size=\"141438293\", alpha=\"0.14\", expect_size=\"42431488\"] \n  6 -> 20 [size =\"42431488\"]\n  7 [size=\"57176747\", alpha=\"0.09\", expect_size=\"17153024\"] \n  8 [size=\"114930347\", alpha=\"0.07\", expect_size=\"34479104\"] \n  8 -> 20 [size =\"34479104\"]\n  9 [size=\"112943787\", alpha=\"0.16\", expect_size=\"33883136\"] \n  10 [size=\"31894187\", alpha=\"0.14\", expect_size=\"9568256\"] \n  11 [size=\"134307840\", alpha=\"0.16\", expect_size=\"40292352\"] \n  12 [size=\"27972267\", alpha=\"0.15\", expect_size=\"8391680\"] \n  13 [size=\"74096640\", alpha=\"0.07\", expect_size=\"22228992\"] \n  14 [size=\"38007467\", alpha=\"0.18\", expect_size=\"11402240\"] \n  15 [size=\"18984960\", alpha=\"0.03\", expect_size=\"5695488\"] \n  16 [size=\"25757013\", alpha=\"0.09\", expect_size=\"7727104\"] \n  17 [size=\"132082347\", alpha=\"0.08\", expect_size=\"39624704\"] \n  17 -> 20 [size =\"39624704\"]\n  18 [size=\"48308907\", alpha=\"0.15\", expect_size=\"14492672\"] \n  18 -> 20 [size =\"14492672\"]\n  19 [size=\"104099840\", alpha=\"0.13\", expect_size=\"31229952\"] \n  19 -> 20 [size =\"31229952\"]\n  20 [size=\"74181973\", alpha=\"0.15\", expect_size=\"22254592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64207360\", alpha=\"0.12\", expect_size=\"25682944\"] \n  1 -> 3 [size =\"25682944\"]\n  2 [size=\"22499840\", alpha=\"0.03\", expect_size=\"8999936\"] \n  3 [size=\"68270080\", alpha=\"0.01\", expect_size=\"27308032\"] \n  3 -> 4 [size =\"27308032\"]\n  4 [size=\"99264000\", alpha=\"0.16\", expect_size=\"39705600\"] \n  4 -> 5 [size =\"39705600\"]\n  4 -> 6 [size =\"39705600\"]\n  5 [size=\"40563200\", alpha=\"0.12\", expect_size=\"16225280\"] \n  5 -> 7 [size =\"16225280\"]\n  5 -> 8 [size =\"16225280\"]\n  6 [size=\"75456000\", alpha=\"0.11\", expect_size=\"30182400\"] \n  6 -> 8 [size =\"30182400\"]\n  7 [size=\"121338880\", alpha=\"0.03\", expect_size=\"48535552\"] \n  8 [size=\"77025280\", alpha=\"0.03\", expect_size=\"30810112\"] \n  8 -> 9 [size =\"30810112\"]\n  9 [size=\"38842880\", alpha=\"0.20\", expect_size=\"15537152\"] \n  9 -> 10 [size =\"15537152\"]\n  10 [size=\"73832960\", alpha=\"0.05\", expect_size=\"29533184\"] \n  10 -> 11 [size =\"29533184\"]\n  10 -> 12 [size =\"29533184\"]\n  11 [size=\"77568000\", alpha=\"0.08\", expect_size=\"31027200\"] \n  11 -> 13 [size =\"31027200\"]\n  12 [size=\"28590080\", alpha=\"0.15\", expect_size=\"11436032\"] \n  12 -> 13 [size =\"11436032\"]\n  13 [size=\"47239680\", alpha=\"0.12\", expect_size=\"18895872\"] \n  13 -> 14 [size =\"18895872\"]\n  13 -> 15 [size =\"18895872\"]\n  14 [size=\"55736320\", alpha=\"0.13\", expect_size=\"22294528\"] \n  15 [size=\"30781440\", alpha=\"0.13\", expect_size=\"12312576\"] \n  15 -> 16 [size =\"12312576\"]\n  16 [size=\"99532800\", alpha=\"0.02\", expect_size=\"39813120\"] \n  16 -> 17 [size =\"39813120\"]\n  16 -> 18 [size =\"39813120\"]\n  17 [size=\"45145600\", alpha=\"0.13\", expect_size=\"18058240\"] \n  18 [size=\"60042240\", alpha=\"0.10\", expect_size=\"24016896\"] \n  18 -> 19 [size =\"24016896\"]\n  19 [size=\"76231680\", alpha=\"0.10\", expect_size=\"30492672\"] \n  19 -> 20 [size =\"30492672\"]\n  20 [size=\"75745280\", alpha=\"0.02\", expect_size=\"30298112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39456768\", alpha=\"0.07\", expect_size=\"19728384\"] \n  1 -> 16 [size =\"19728384\"]\n  1 -> 20 [size =\"19728384\"]\n  2 [size=\"79038464\", alpha=\"0.17\", expect_size=\"39519232\"] \n  2 -> 16 [size =\"39519232\"]\n  2 -> 18 [size =\"39519232\"]\n  2 -> 19 [size =\"39519232\"]\n  3 [size=\"41584640\", alpha=\"0.17\", expect_size=\"20792320\"] \n  3 -> 18 [size =\"20792320\"]\n  3 -> 18 [size =\"20792320\"]\n  4 [size=\"81250304\", alpha=\"0.05\", expect_size=\"40625152\"] \n  4 -> 16 [size =\"40625152\"]\n  4 -> 17 [size =\"40625152\"]\n  4 -> 18 [size =\"40625152\"]\n  4 -> 19 [size =\"40625152\"]\n  4 -> 20 [size =\"40625152\"]\n  5 [size=\"95750144\", alpha=\"0.16\", expect_size=\"47875072\"] \n  5 -> 16 [size =\"47875072\"]\n  5 -> 20 [size =\"47875072\"]\n  6 [size=\"23840768\", alpha=\"0.16\", expect_size=\"11920384\"] \n  6 -> 16 [size =\"11920384\"]\n  6 -> 18 [size =\"11920384\"]\n  6 -> 20 [size =\"11920384\"]\n  7 [size=\"35305472\", alpha=\"0.08\", expect_size=\"17652736\"] \n  7 -> 14 [size =\"17652736\"]\n  7 -> 16 [size =\"17652736\"]\n  7 -> 20 [size =\"17652736\"]\n  8 [size=\"78632960\", alpha=\"0.04\", expect_size=\"39316480\"] \n  8 -> 15 [size =\"39316480\"]\n  8 -> 16 [size =\"39316480\"]\n  8 -> 18 [size =\"39316480\"]\n  8 -> 20 [size =\"39316480\"]\n  9 [size=\"18096128\", alpha=\"0.19\", expect_size=\"9048064\"] \n  9 -> 16 [size =\"9048064\"]\n  9 -> 18 [size =\"9048064\"]\n  9 -> 18 [size =\"9048064\"]\n  9 -> 20 [size =\"9048064\"]\n  10 [size=\"85471232\", alpha=\"0.07\", expect_size=\"42735616\"] \n  10 -> 18 [size =\"42735616\"]\n  10 -> 19 [size =\"42735616\"]\n  11 [size=\"42383360\", alpha=\"0.14\", expect_size=\"21191680\"] \n  11 -> 14 [size =\"21191680\"]\n  11 -> 16 [size =\"21191680\"]\n  11 -> 18 [size =\"21191680\"]\n  12 [size=\"76638208\", alpha=\"0.14\", expect_size=\"38319104\"] \n  12 -> 14 [size =\"38319104\"]\n  12 -> 16 [size =\"38319104\"]\n  12 -> 18 [size =\"38319104\"]\n  13 [size=\"63365120\", alpha=\"0.08\", expect_size=\"31682560\"] \n  13 -> 14 [size =\"31682560\"]\n  13 -> 16 [size =\"31682560\"]\n  13 -> 18 [size =\"31682560\"]\n  14 [size=\"48064512\", alpha=\"0.14\", expect_size=\"24032256\"] \n  15 [size=\"70971392\", alpha=\"0.04\", expect_size=\"35485696\"] \n  16 [size=\"53590016\", alpha=\"0.17\", expect_size=\"26795008\"] \n  17 [size=\"35733504\", alpha=\"0.19\", expect_size=\"17866752\"] \n  18 [size=\"72484864\", alpha=\"0.08\", expect_size=\"36242432\"] \n  19 [size=\"92567552\", alpha=\"0.14\", expect_size=\"46283776\"] \n  20 [size=\"88893440\", alpha=\"0.12\", expect_size=\"44446720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107932160\", alpha=\"0.19\", expect_size=\"43172864\"] \n  1 -> 4 [size =\"43172864\"]\n  2 [size=\"25185280\", alpha=\"0.12\", expect_size=\"10074112\"] \n  2 -> 3 [size =\"10074112\"]\n  3 [size=\"21278720\", alpha=\"0.11\", expect_size=\"8511488\"] \n  4 [size=\"86261760\", alpha=\"0.12\", expect_size=\"34504704\"] \n  4 -> 5 [size =\"34504704\"]\n  4 -> 6 [size =\"34504704\"]\n  5 [size=\"42664960\", alpha=\"0.17\", expect_size=\"17065984\"] \n  5 -> 8 [size =\"17065984\"]\n  6 [size=\"128020480\", alpha=\"0.09\", expect_size=\"51208192\"] \n  6 -> 7 [size =\"51208192\"]\n  7 [size=\"106186240\", alpha=\"0.09\", expect_size=\"42474496\"] \n  7 -> 9 [size =\"42474496\"]\n  8 [size=\"85434880\", alpha=\"0.16\", expect_size=\"34173952\"] \n  9 [size=\"126632960\", alpha=\"0.04\", expect_size=\"50653184\"] \n  9 -> 10 [size =\"50653184\"]\n  9 -> 11 [size =\"50653184\"]\n  10 [size=\"14574080\", alpha=\"0.14\", expect_size=\"5829632\"] \n  10 -> 12 [size =\"5829632\"]\n  11 [size=\"55920640\", alpha=\"0.08\", expect_size=\"22368256\"] \n  12 [size=\"50004480\", alpha=\"0.10\", expect_size=\"20001792\"] \n  12 -> 13 [size =\"20001792\"]\n  13 [size=\"121912320\", alpha=\"0.08\", expect_size=\"48764928\"] \n  13 -> 14 [size =\"48764928\"]\n  14 [size=\"69995520\", alpha=\"0.00\", expect_size=\"27998208\"] \n  14 -> 15 [size =\"27998208\"]\n  15 [size=\"23848960\", alpha=\"0.19\", expect_size=\"9539584\"] \n  15 -> 16 [size =\"9539584\"]\n  16 [size=\"122923520\", alpha=\"0.10\", expect_size=\"49169408\"] \n  16 -> 17 [size =\"49169408\"]\n  17 [size=\"57464320\", alpha=\"0.02\", expect_size=\"22985728\"] \n  17 -> 18 [size =\"22985728\"]\n  18 [size=\"113408000\", alpha=\"0.18\", expect_size=\"45363200\"] \n  18 -> 19 [size =\"45363200\"]\n  19 [size=\"90324480\", alpha=\"0.17\", expect_size=\"36129792\"] \n  19 -> 20 [size =\"36129792\"]\n  20 [size=\"112117760\", alpha=\"0.03\", expect_size=\"44847104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19345408\", alpha=\"0.04\", expect_size=\"9672704\"] \n  1 -> 2 [size =\"9672704\"]\n  2 [size=\"64622592\", alpha=\"0.10\", expect_size=\"32311296\"] \n  2 -> 3 [size =\"32311296\"]\n  2 -> 4 [size =\"32311296\"]\n  3 [size=\"98029568\", alpha=\"0.03\", expect_size=\"49014784\"] \n  4 [size=\"85041152\", alpha=\"0.11\", expect_size=\"42520576\"] \n  4 -> 5 [size =\"42520576\"]\n  5 [size=\"61917184\", alpha=\"0.13\", expect_size=\"30958592\"] \n  5 -> 6 [size =\"30958592\"]\n  5 -> 7 [size =\"30958592\"]\n  6 [size=\"18143232\", alpha=\"0.14\", expect_size=\"9071616\"] \n  6 -> 8 [size =\"9071616\"]\n  6 -> 9 [size =\"9071616\"]\n  7 [size=\"55279616\", alpha=\"0.12\", expect_size=\"27639808\"] \n  7 -> 8 [size =\"27639808\"]\n  8 [size=\"64966656\", alpha=\"0.07\", expect_size=\"32483328\"] \n  8 -> 10 [size =\"32483328\"]\n  9 [size=\"15429632\", alpha=\"0.07\", expect_size=\"7714816\"] \n  10 [size=\"41981952\", alpha=\"0.04\", expect_size=\"20990976\"] \n  10 -> 11 [size =\"20990976\"]\n  10 -> 12 [size =\"20990976\"]\n  11 [size=\"101808128\", alpha=\"0.11\", expect_size=\"50904064\"] \n  12 [size=\"27648000\", alpha=\"0.00\", expect_size=\"13824000\"] \n  12 -> 13 [size =\"13824000\"]\n  12 -> 14 [size =\"13824000\"]\n  13 [size=\"72830976\", alpha=\"0.15\", expect_size=\"36415488\"] \n  13 -> 15 [size =\"36415488\"]\n  14 [size=\"88541184\", alpha=\"0.01\", expect_size=\"44270592\"] \n  15 [size=\"47656960\", alpha=\"0.02\", expect_size=\"23828480\"] \n  15 -> 16 [size =\"23828480\"]\n  16 [size=\"12511232\", alpha=\"0.11\", expect_size=\"6255616\"] \n  16 -> 17 [size =\"6255616\"]\n  16 -> 18 [size =\"6255616\"]\n  17 [size=\"77694976\", alpha=\"0.09\", expect_size=\"38847488\"] \n  17 -> 19 [size =\"38847488\"]\n  17 -> 20 [size =\"38847488\"]\n  18 [size=\"40816640\", alpha=\"0.04\", expect_size=\"20408320\"] \n  19 [size=\"76032000\", alpha=\"0.18\", expect_size=\"38016000\"] \n  20 [size=\"12937216\", alpha=\"0.00\", expect_size=\"6468608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59484160\", alpha=\"0.14\", expect_size=\"23793664\"] \n  1 -> 2 [size =\"23793664\"]\n  2 [size=\"76456960\", alpha=\"0.00\", expect_size=\"30582784\"] \n  2 -> 3 [size =\"30582784\"]\n  3 [size=\"64839680\", alpha=\"0.15\", expect_size=\"25935872\"] \n  3 -> 4 [size =\"25935872\"]\n  4 [size=\"22942720\", alpha=\"0.07\", expect_size=\"9177088\"] \n  4 -> 5 [size =\"9177088\"]\n  5 [size=\"111918080\", alpha=\"0.12\", expect_size=\"44767232\"] \n  5 -> 6 [size =\"44767232\"]\n  6 [size=\"24755200\", alpha=\"0.16\", expect_size=\"9902080\"] \n  6 -> 7 [size =\"9902080\"]\n  7 [size=\"25341440\", alpha=\"0.15\", expect_size=\"10136576\"] \n  7 -> 8 [size =\"10136576\"]\n  8 [size=\"14927360\", alpha=\"0.14\", expect_size=\"5970944\"] \n  8 -> 9 [size =\"5970944\"]\n  9 [size=\"37964800\", alpha=\"0.17\", expect_size=\"15185920\"] \n  9 -> 10 [size =\"15185920\"]\n  10 [size=\"89221120\", alpha=\"0.14\", expect_size=\"35688448\"] \n  10 -> 11 [size =\"35688448\"]\n  11 [size=\"118574080\", alpha=\"0.20\", expect_size=\"47429632\"] \n  11 -> 12 [size =\"47429632\"]\n  12 [size=\"82357760\", alpha=\"0.00\", expect_size=\"32943104\"] \n  12 -> 13 [size =\"32943104\"]\n  13 [size=\"82455040\", alpha=\"0.00\", expect_size=\"32982016\"] \n  13 -> 14 [size =\"32982016\"]\n  14 [size=\"54540800\", alpha=\"0.09\", expect_size=\"21816320\"] \n  14 -> 15 [size =\"21816320\"]\n  15 [size=\"98608640\", alpha=\"0.08\", expect_size=\"39443456\"] \n  15 -> 16 [size =\"39443456\"]\n  16 [size=\"53360640\", alpha=\"0.01\", expect_size=\"21344256\"] \n  16 -> 17 [size =\"21344256\"]\n  17 [size=\"31377920\", alpha=\"0.15\", expect_size=\"12551168\"] \n  17 -> 18 [size =\"12551168\"]\n  18 [size=\"121564160\", alpha=\"0.14\", expect_size=\"48625664\"] \n  18 -> 19 [size =\"48625664\"]\n  19 [size=\"86333440\", alpha=\"0.08\", expect_size=\"34533376\"] \n  19 -> 20 [size =\"34533376\"]\n  20 [size=\"66885120\", alpha=\"0.13\", expect_size=\"26754048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103529813\", alpha=\"0.05\", expect_size=\"31058944\"] \n  1 -> 5 [size =\"31058944\"]\n  2 [size=\"49087147\", alpha=\"0.12\", expect_size=\"14726144\"] \n  3 [size=\"63242240\", alpha=\"0.17\", expect_size=\"18972672\"] \n  3 -> 4 [size =\"18972672\"]\n  3 -> 5 [size =\"18972672\"]\n  3 -> 6 [size =\"18972672\"]\n  3 -> 7 [size =\"18972672\"]\n  4 [size=\"39079253\", alpha=\"0.07\", expect_size=\"11723776\"] \n  4 -> 8 [size =\"11723776\"]\n  4 -> 9 [size =\"11723776\"]\n  5 [size=\"161071787\", alpha=\"0.08\", expect_size=\"48321536\"] \n  5 -> 10 [size =\"48321536\"]\n  6 [size=\"122101760\", alpha=\"0.20\", expect_size=\"36630528\"] \n  6 -> 10 [size =\"36630528\"]\n  7 [size=\"141602133\", alpha=\"0.18\", expect_size=\"42480640\"] \n  7 -> 8 [size =\"42480640\"]\n  8 [size=\"114271573\", alpha=\"0.04\", expect_size=\"34281472\"] \n  8 -> 13 [size =\"34281472\"]\n  9 [size=\"63911253\", alpha=\"0.02\", expect_size=\"19173376\"] \n  9 -> 11 [size =\"19173376\"]\n  9 -> 12 [size =\"19173376\"]\n  9 -> 13 [size =\"19173376\"]\n  10 [size=\"99945813\", alpha=\"0.13\", expect_size=\"29983744\"] \n  10 -> 11 [size =\"29983744\"]\n  10 -> 12 [size =\"29983744\"]\n  11 [size=\"41666560\", alpha=\"0.06\", expect_size=\"12499968\"] \n  11 -> 14 [size =\"12499968\"]\n  11 -> 16 [size =\"12499968\"]\n  11 -> 17 [size =\"12499968\"]\n  12 [size=\"79977813\", alpha=\"0.09\", expect_size=\"23993344\"] \n  12 -> 15 [size =\"23993344\"]\n  13 [size=\"170656427\", alpha=\"0.10\", expect_size=\"51196928\"] \n  13 -> 16 [size =\"51196928\"]\n  14 [size=\"149858987\", alpha=\"0.13\", expect_size=\"44957696\"] \n  14 -> 20 [size =\"44957696\"]\n  15 [size=\"46021973\", alpha=\"0.06\", expect_size=\"13806592\"] \n  15 -> 18 [size =\"13806592\"]\n  15 -> 20 [size =\"13806592\"]\n  16 [size=\"112622933\", alpha=\"0.15\", expect_size=\"33786880\"] \n  16 -> 19 [size =\"33786880\"]\n  17 [size=\"112052907\", alpha=\"0.12\", expect_size=\"33615872\"] \n  17 -> 19 [size =\"33615872\"]\n  18 [size=\"97634987\", alpha=\"0.02\", expect_size=\"29290496\"] \n  19 [size=\"128215040\", alpha=\"0.02\", expect_size=\"38464512\"] \n  20 [size=\"146530987\", alpha=\"0.06\", expect_size=\"43959296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24784213\", alpha=\"0.02\", expect_size=\"7435264\"] \n  1 -> 2 [size =\"7435264\"]\n  2 [size=\"63112533\", alpha=\"0.10\", expect_size=\"18933760\"] \n  2 -> 3 [size =\"18933760\"]\n  3 [size=\"154589867\", alpha=\"0.09\", expect_size=\"46376960\"] \n  3 -> 4 [size =\"46376960\"]\n  4 [size=\"53360640\", alpha=\"0.16\", expect_size=\"16008192\"] \n  4 -> 5 [size =\"16008192\"]\n  5 [size=\"145302187\", alpha=\"0.14\", expect_size=\"43590656\"] \n  5 -> 6 [size =\"43590656\"]\n  6 [size=\"166413653\", alpha=\"0.02\", expect_size=\"49924096\"] \n  6 -> 7 [size =\"49924096\"]\n  7 [size=\"25026560\", alpha=\"0.05\", expect_size=\"7507968\"] \n  7 -> 8 [size =\"7507968\"]\n  8 [size=\"172554240\", alpha=\"0.10\", expect_size=\"51766272\"] \n  8 -> 9 [size =\"51766272\"]\n  9 [size=\"142274560\", alpha=\"0.11\", expect_size=\"42682368\"] \n  9 -> 10 [size =\"42682368\"]\n  10 [size=\"112080213\", alpha=\"0.16\", expect_size=\"33624064\"] \n  10 -> 11 [size =\"33624064\"]\n  11 [size=\"125392213\", alpha=\"0.04\", expect_size=\"37617664\"] \n  11 -> 12 [size =\"37617664\"]\n  12 [size=\"143148373\", alpha=\"0.04\", expect_size=\"42944512\"] \n  12 -> 13 [size =\"42944512\"]\n  13 [size=\"60747093\", alpha=\"0.12\", expect_size=\"18224128\"] \n  13 -> 14 [size =\"18224128\"]\n  14 [size=\"134324907\", alpha=\"0.15\", expect_size=\"40297472\"] \n  14 -> 15 [size =\"40297472\"]\n  15 [size=\"102512640\", alpha=\"0.01\", expect_size=\"30753792\"] \n  15 -> 16 [size =\"30753792\"]\n  16 [size=\"52838400\", alpha=\"0.10\", expect_size=\"15851520\"] \n  16 -> 17 [size =\"15851520\"]\n  17 [size=\"69703680\", alpha=\"0.13\", expect_size=\"20911104\"] \n  17 -> 18 [size =\"20911104\"]\n  18 [size=\"106147840\", alpha=\"0.16\", expect_size=\"31844352\"] \n  18 -> 19 [size =\"31844352\"]\n  19 [size=\"23722667\", alpha=\"0.15\", expect_size=\"7116800\"] \n  19 -> 20 [size =\"7116800\"]\n  20 [size=\"107786240\", alpha=\"0.05\", expect_size=\"32335872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103690240\", alpha=\"0.04\", expect_size=\"41476096\"] \n  1 -> 2 [size =\"41476096\"]\n  2 [size=\"61232640\", alpha=\"0.18\", expect_size=\"24493056\"] \n  2 -> 3 [size =\"24493056\"]\n  3 [size=\"72750080\", alpha=\"0.05\", expect_size=\"29100032\"] \n  3 -> 4 [size =\"29100032\"]\n  4 [size=\"33666560\", alpha=\"0.13\", expect_size=\"13466624\"] \n  4 -> 5 [size =\"13466624\"]\n  5 [size=\"130851840\", alpha=\"0.10\", expect_size=\"52340736\"] \n  5 -> 6 [size =\"52340736\"]\n  6 [size=\"64368640\", alpha=\"0.00\", expect_size=\"25747456\"] \n  6 -> 7 [size =\"25747456\"]\n  7 [size=\"121740800\", alpha=\"0.08\", expect_size=\"48696320\"] \n  7 -> 8 [size =\"48696320\"]\n  8 [size=\"117818880\", alpha=\"0.07\", expect_size=\"47127552\"] \n  8 -> 9 [size =\"47127552\"]\n  9 [size=\"113518080\", alpha=\"0.06\", expect_size=\"45407232\"] \n  9 -> 10 [size =\"45407232\"]\n  10 [size=\"96304640\", alpha=\"0.03\", expect_size=\"38521856\"] \n  10 -> 11 [size =\"38521856\"]\n  11 [size=\"104814080\", alpha=\"0.19\", expect_size=\"41925632\"] \n  11 -> 12 [size =\"41925632\"]\n  12 [size=\"13312000\", alpha=\"0.03\", expect_size=\"5324800\"] \n  12 -> 13 [size =\"5324800\"]\n  13 [size=\"121651200\", alpha=\"0.04\", expect_size=\"48660480\"] \n  13 -> 14 [size =\"48660480\"]\n  14 [size=\"33364480\", alpha=\"0.04\", expect_size=\"13345792\"] \n  14 -> 15 [size =\"13345792\"]\n  15 [size=\"111093760\", alpha=\"0.16\", expect_size=\"44437504\"] \n  15 -> 16 [size =\"44437504\"]\n  16 [size=\"53130240\", alpha=\"0.14\", expect_size=\"21252096\"] \n  16 -> 17 [size =\"21252096\"]\n  17 [size=\"55306240\", alpha=\"0.13\", expect_size=\"22122496\"] \n  17 -> 18 [size =\"22122496\"]\n  18 [size=\"102686720\", alpha=\"0.13\", expect_size=\"41074688\"] \n  18 -> 19 [size =\"41074688\"]\n  19 [size=\"26672640\", alpha=\"0.09\", expect_size=\"10669056\"] \n  19 -> 20 [size =\"10669056\"]\n  20 [size=\"62092800\", alpha=\"0.12\", expect_size=\"24837120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27850240\", alpha=\"0.07\", expect_size=\"11140096\"] \n  1 -> 3 [size =\"11140096\"]\n  2 [size=\"61032960\", alpha=\"0.19\", expect_size=\"24413184\"] \n  3 [size=\"79938560\", alpha=\"0.15\", expect_size=\"31975424\"] \n  3 -> 4 [size =\"31975424\"]\n  3 -> 5 [size =\"31975424\"]\n  4 [size=\"53619200\", alpha=\"0.18\", expect_size=\"21447680\"] \n  4 -> 6 [size =\"21447680\"]\n  4 -> 7 [size =\"21447680\"]\n  5 [size=\"115622400\", alpha=\"0.02\", expect_size=\"46248960\"] \n  5 -> 6 [size =\"46248960\"]\n  6 [size=\"18324480\", alpha=\"0.18\", expect_size=\"7329792\"] \n  6 -> 8 [size =\"7329792\"]\n  7 [size=\"16576000\", alpha=\"0.17\", expect_size=\"6630400\"] \n  8 [size=\"112494080\", alpha=\"0.06\", expect_size=\"44997632\"] \n  8 -> 9 [size =\"44997632\"]\n  9 [size=\"64890880\", alpha=\"0.17\", expect_size=\"25956352\"] \n  9 -> 10 [size =\"25956352\"]\n  9 -> 11 [size =\"25956352\"]\n  10 [size=\"81564160\", alpha=\"0.07\", expect_size=\"32625664\"] \n  10 -> 12 [size =\"32625664\"]\n  11 [size=\"41774080\", alpha=\"0.12\", expect_size=\"16709632\"] \n  12 [size=\"80591360\", alpha=\"0.05\", expect_size=\"32236544\"] \n  12 -> 13 [size =\"32236544\"]\n  12 -> 14 [size =\"32236544\"]\n  13 [size=\"72709120\", alpha=\"0.05\", expect_size=\"29083648\"] \n  14 [size=\"41464320\", alpha=\"0.05\", expect_size=\"16585728\"] \n  14 -> 15 [size =\"16585728\"]\n  15 [size=\"28930560\", alpha=\"0.18\", expect_size=\"11572224\"] \n  15 -> 16 [size =\"11572224\"]\n  16 [size=\"42959360\", alpha=\"0.01\", expect_size=\"17183744\"] \n  16 -> 17 [size =\"17183744\"]\n  16 -> 18 [size =\"17183744\"]\n  17 [size=\"30359040\", alpha=\"0.05\", expect_size=\"12143616\"] \n  17 -> 19 [size =\"12143616\"]\n  17 -> 20 [size =\"12143616\"]\n  18 [size=\"130007040\", alpha=\"0.13\", expect_size=\"52002816\"] \n  18 -> 20 [size =\"52002816\"]\n  19 [size=\"50321920\", alpha=\"0.10\", expect_size=\"20128768\"] \n  20 [size=\"32217600\", alpha=\"0.06\", expect_size=\"12887040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28587520\", alpha=\"0.05\", expect_size=\"11435008\"] \n  1 -> 2 [size =\"11435008\"]\n  2 [size=\"44472320\", alpha=\"0.06\", expect_size=\"17788928\"] \n  2 -> 3 [size =\"17788928\"]\n  3 [size=\"19909120\", alpha=\"0.14\", expect_size=\"7963648\"] \n  3 -> 4 [size =\"7963648\"]\n  4 [size=\"101317120\", alpha=\"0.08\", expect_size=\"40526848\"] \n  4 -> 5 [size =\"40526848\"]\n  5 [size=\"29406720\", alpha=\"0.17\", expect_size=\"11762688\"] \n  5 -> 6 [size =\"11762688\"]\n  6 [size=\"42129920\", alpha=\"0.13\", expect_size=\"16851968\"] \n  6 -> 7 [size =\"16851968\"]\n  7 [size=\"37749760\", alpha=\"0.10\", expect_size=\"15099904\"] \n  7 -> 8 [size =\"15099904\"]\n  8 [size=\"39582720\", alpha=\"0.09\", expect_size=\"15833088\"] \n  8 -> 9 [size =\"15833088\"]\n  9 [size=\"124976640\", alpha=\"0.14\", expect_size=\"49990656\"] \n  9 -> 10 [size =\"49990656\"]\n  10 [size=\"38100480\", alpha=\"0.10\", expect_size=\"15240192\"] \n  10 -> 11 [size =\"15240192\"]\n  11 [size=\"83238400\", alpha=\"0.16\", expect_size=\"33295360\"] \n  11 -> 12 [size =\"33295360\"]\n  12 [size=\"111485440\", alpha=\"0.13\", expect_size=\"44594176\"] \n  12 -> 13 [size =\"44594176\"]\n  13 [size=\"30745600\", alpha=\"0.13\", expect_size=\"12298240\"] \n  13 -> 14 [size =\"12298240\"]\n  14 [size=\"114984960\", alpha=\"0.05\", expect_size=\"45993984\"] \n  14 -> 15 [size =\"45993984\"]\n  15 [size=\"45649920\", alpha=\"0.18\", expect_size=\"18259968\"] \n  15 -> 16 [size =\"18259968\"]\n  16 [size=\"29253120\", alpha=\"0.10\", expect_size=\"11701248\"] \n  16 -> 17 [size =\"11701248\"]\n  17 [size=\"108764160\", alpha=\"0.04\", expect_size=\"43505664\"] \n  17 -> 18 [size =\"43505664\"]\n  18 [size=\"47206400\", alpha=\"0.15\", expect_size=\"18882560\"] \n  18 -> 19 [size =\"18882560\"]\n  19 [size=\"98618880\", alpha=\"0.10\", expect_size=\"39447552\"] \n  19 -> 20 [size =\"39447552\"]\n  20 [size=\"60293120\", alpha=\"0.09\", expect_size=\"24117248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150889813\", alpha=\"0.17\", expect_size=\"45266944\"] \n  1 -> 2 [size =\"45266944\"]\n  2 [size=\"155688960\", alpha=\"0.05\", expect_size=\"46706688\"] \n  2 -> 3 [size =\"46706688\"]\n  3 [size=\"46714880\", alpha=\"0.20\", expect_size=\"14014464\"] \n  3 -> 4 [size =\"14014464\"]\n  4 [size=\"125610667\", alpha=\"0.05\", expect_size=\"37683200\"] \n  4 -> 5 [size =\"37683200\"]\n  5 [size=\"145861973\", alpha=\"0.03\", expect_size=\"43758592\"] \n  5 -> 6 [size =\"43758592\"]\n  6 [size=\"131529387\", alpha=\"0.01\", expect_size=\"39458816\"] \n  6 -> 7 [size =\"39458816\"]\n  7 [size=\"28774400\", alpha=\"0.13\", expect_size=\"8632320\"] \n  7 -> 8 [size =\"8632320\"]\n  8 [size=\"114100907\", alpha=\"0.16\", expect_size=\"34230272\"] \n  8 -> 9 [size =\"34230272\"]\n  9 [size=\"173492907\", alpha=\"0.18\", expect_size=\"52047872\"] \n  9 -> 10 [size =\"52047872\"]\n  10 [size=\"143073280\", alpha=\"0.06\", expect_size=\"42921984\"] \n  10 -> 11 [size =\"42921984\"]\n  11 [size=\"43407360\", alpha=\"0.11\", expect_size=\"13022208\"] \n  11 -> 12 [size =\"13022208\"]\n  12 [size=\"19189760\", alpha=\"0.12\", expect_size=\"5756928\"] \n  12 -> 13 [size =\"5756928\"]\n  13 [size=\"58767360\", alpha=\"0.13\", expect_size=\"17630208\"] \n  13 -> 14 [size =\"17630208\"]\n  14 [size=\"57197227\", alpha=\"0.02\", expect_size=\"17159168\"] \n  14 -> 15 [size =\"17159168\"]\n  15 [size=\"98635093\", alpha=\"0.01\", expect_size=\"29590528\"] \n  15 -> 16 [size =\"29590528\"]\n  16 [size=\"125832533\", alpha=\"0.01\", expect_size=\"37749760\"] \n  16 -> 17 [size =\"37749760\"]\n  17 [size=\"136768853\", alpha=\"0.12\", expect_size=\"41030656\"] \n  17 -> 18 [size =\"41030656\"]\n  18 [size=\"78346240\", alpha=\"0.19\", expect_size=\"23503872\"] \n  18 -> 19 [size =\"23503872\"]\n  19 [size=\"45516800\", alpha=\"0.11\", expect_size=\"13655040\"] \n  19 -> 20 [size =\"13655040\"]\n  20 [size=\"31525547\", alpha=\"0.01\", expect_size=\"9457664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13888000\", alpha=\"0.04\", expect_size=\"5555200\"] \n  1 -> 9 [size =\"5555200\"]\n  1 -> 10 [size =\"5555200\"]\n  1 -> 13 [size =\"5555200\"]\n  2 [size=\"95416320\", alpha=\"0.01\", expect_size=\"38166528\"] \n  3 [size=\"128432640\", alpha=\"0.12\", expect_size=\"51373056\"] \n  4 [size=\"32409600\", alpha=\"0.03\", expect_size=\"12963840\"] \n  4 -> 14 [size =\"12963840\"]\n  5 [size=\"120599040\", alpha=\"0.15\", expect_size=\"48239616\"] \n  5 -> 9 [size =\"48239616\"]\n  6 [size=\"54302720\", alpha=\"0.04\", expect_size=\"21721088\"] \n  6 -> 9 [size =\"21721088\"]\n  6 -> 11 [size =\"21721088\"]\n  6 -> 13 [size =\"21721088\"]\n  7 [size=\"102632960\", alpha=\"0.14\", expect_size=\"41053184\"] \n  7 -> 11 [size =\"41053184\"]\n  7 -> 12 [size =\"41053184\"]\n  8 [size=\"91942400\", alpha=\"0.14\", expect_size=\"36776960\"] \n  8 -> 10 [size =\"36776960\"]\n  8 -> 11 [size =\"36776960\"]\n  8 -> 12 [size =\"36776960\"]\n  8 -> 13 [size =\"36776960\"]\n  9 [size=\"18874880\", alpha=\"0.15\", expect_size=\"7549952\"] \n  9 -> 16 [size =\"7549952\"]\n  9 -> 18 [size =\"7549952\"]\n  10 [size=\"15943680\", alpha=\"0.19\", expect_size=\"6377472\"] \n  10 -> 15 [size =\"6377472\"]\n  10 -> 17 [size =\"6377472\"]\n  10 -> 20 [size =\"6377472\"]\n  11 [size=\"130667520\", alpha=\"0.10\", expect_size=\"52267008\"] \n  11 -> 15 [size =\"52267008\"]\n  11 -> 16 [size =\"52267008\"]\n  11 -> 19 [size =\"52267008\"]\n  11 -> 20 [size =\"52267008\"]\n  12 [size=\"34106880\", alpha=\"0.16\", expect_size=\"13642752\"] \n  12 -> 20 [size =\"13642752\"]\n  13 [size=\"42270720\", alpha=\"0.18\", expect_size=\"16908288\"] \n  13 -> 15 [size =\"16908288\"]\n  13 -> 19 [size =\"16908288\"]\n  14 [size=\"114327040\", alpha=\"0.01\", expect_size=\"45730816\"] \n  14 -> 19 [size =\"45730816\"]\n  14 -> 19 [size =\"45730816\"]\n  15 [size=\"15779840\", alpha=\"0.05\", expect_size=\"6311936\"] \n  16 [size=\"105684480\", alpha=\"0.08\", expect_size=\"42273792\"] \n  17 [size=\"129192960\", alpha=\"0.15\", expect_size=\"51677184\"] \n  18 [size=\"96337920\", alpha=\"0.08\", expect_size=\"38535168\"] \n  19 [size=\"63226880\", alpha=\"0.17\", expect_size=\"25290752\"] \n  20 [size=\"32350720\", alpha=\"0.17\", expect_size=\"12940288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67981312\", alpha=\"0.20\", expect_size=\"33990656\"] \n  2 [size=\"21477376\", alpha=\"0.16\", expect_size=\"10738688\"] \n  2 -> 3 [size =\"10738688\"]\n  3 [size=\"77639680\", alpha=\"0.06\", expect_size=\"38819840\"] \n  3 -> 4 [size =\"38819840\"]\n  4 [size=\"88500224\", alpha=\"0.00\", expect_size=\"44250112\"] \n  4 -> 5 [size =\"44250112\"]\n  5 [size=\"76263424\", alpha=\"0.12\", expect_size=\"38131712\"] \n  5 -> 6 [size =\"38131712\"]\n  6 [size=\"99840000\", alpha=\"0.03\", expect_size=\"49920000\"] \n  6 -> 7 [size =\"49920000\"]\n  7 [size=\"13479936\", alpha=\"0.08\", expect_size=\"6739968\"] \n  7 -> 8 [size =\"6739968\"]\n  7 -> 9 [size =\"6739968\"]\n  8 [size=\"24463360\", alpha=\"0.03\", expect_size=\"12231680\"] \n  8 -> 11 [size =\"12231680\"]\n  9 [size=\"13709312\", alpha=\"0.14\", expect_size=\"6854656\"] \n  9 -> 10 [size =\"6854656\"]\n  10 [size=\"28344320\", alpha=\"0.14\", expect_size=\"14172160\"] \n  10 -> 12 [size =\"14172160\"]\n  11 [size=\"75315200\", alpha=\"0.07\", expect_size=\"37657600\"] \n  12 [size=\"73865216\", alpha=\"0.01\", expect_size=\"36932608\"] \n  12 -> 13 [size =\"36932608\"]\n  12 -> 14 [size =\"36932608\"]\n  13 [size=\"55656448\", alpha=\"0.18\", expect_size=\"27828224\"] \n  14 [size=\"81917952\", alpha=\"0.04\", expect_size=\"40958976\"] \n  14 -> 15 [size =\"40958976\"]\n  15 [size=\"82055168\", alpha=\"0.03\", expect_size=\"41027584\"] \n  15 -> 16 [size =\"41027584\"]\n  15 -> 17 [size =\"41027584\"]\n  16 [size=\"44107776\", alpha=\"0.19\", expect_size=\"22053888\"] \n  16 -> 18 [size =\"22053888\"]\n  16 -> 19 [size =\"22053888\"]\n  17 [size=\"60223488\", alpha=\"0.18\", expect_size=\"30111744\"] \n  17 -> 18 [size =\"30111744\"]\n  17 -> 19 [size =\"30111744\"]\n  18 [size=\"99854336\", alpha=\"0.01\", expect_size=\"49927168\"] \n  18 -> 20 [size =\"49927168\"]\n  19 [size=\"19341312\", alpha=\"0.09\", expect_size=\"9670656\"] \n  20 [size=\"87230464\", alpha=\"0.11\", expect_size=\"43615232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104679424\", alpha=\"0.02\", expect_size=\"52339712\"] \n  1 -> 2 [size =\"52339712\"]\n  2 [size=\"39469056\", alpha=\"0.08\", expect_size=\"19734528\"] \n  2 -> 3 [size =\"19734528\"]\n  3 [size=\"13373440\", alpha=\"0.09\", expect_size=\"6686720\"] \n  3 -> 4 [size =\"6686720\"]\n  4 [size=\"28880896\", alpha=\"0.09\", expect_size=\"14440448\"] \n  4 -> 5 [size =\"14440448\"]\n  5 [size=\"98236416\", alpha=\"0.20\", expect_size=\"49118208\"] \n  5 -> 6 [size =\"49118208\"]\n  6 [size=\"36868096\", alpha=\"0.13\", expect_size=\"18434048\"] \n  6 -> 7 [size =\"18434048\"]\n  7 [size=\"42795008\", alpha=\"0.01\", expect_size=\"21397504\"] \n  7 -> 8 [size =\"21397504\"]\n  8 [size=\"13438976\", alpha=\"0.03\", expect_size=\"6719488\"] \n  8 -> 9 [size =\"6719488\"]\n  9 [size=\"79507456\", alpha=\"0.12\", expect_size=\"39753728\"] \n  9 -> 10 [size =\"39753728\"]\n  10 [size=\"51722240\", alpha=\"0.12\", expect_size=\"25861120\"] \n  10 -> 11 [size =\"25861120\"]\n  11 [size=\"46821376\", alpha=\"0.04\", expect_size=\"23410688\"] \n  11 -> 12 [size =\"23410688\"]\n  12 [size=\"54589440\", alpha=\"0.08\", expect_size=\"27294720\"] \n  12 -> 13 [size =\"27294720\"]\n  13 [size=\"93327360\", alpha=\"0.02\", expect_size=\"46663680\"] \n  13 -> 14 [size =\"46663680\"]\n  14 [size=\"42252288\", alpha=\"0.18\", expect_size=\"21126144\"] \n  14 -> 15 [size =\"21126144\"]\n  15 [size=\"86036480\", alpha=\"0.11\", expect_size=\"43018240\"] \n  15 -> 16 [size =\"43018240\"]\n  16 [size=\"85313536\", alpha=\"0.15\", expect_size=\"42656768\"] \n  16 -> 17 [size =\"42656768\"]\n  17 [size=\"53420032\", alpha=\"0.08\", expect_size=\"26710016\"] \n  17 -> 18 [size =\"26710016\"]\n  18 [size=\"60215296\", alpha=\"0.09\", expect_size=\"30107648\"] \n  18 -> 19 [size =\"30107648\"]\n  19 [size=\"74487808\", alpha=\"0.01\", expect_size=\"37243904\"] \n  19 -> 20 [size =\"37243904\"]\n  20 [size=\"38629376\", alpha=\"0.17\", expect_size=\"19314688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120965120\", alpha=\"0.02\", expect_size=\"36289536\"] \n  1 -> 4 [size =\"36289536\"]\n  2 [size=\"129798827\", alpha=\"0.08\", expect_size=\"38939648\"] \n  2 -> 3 [size =\"38939648\"]\n  2 -> 4 [size =\"38939648\"]\n  3 [size=\"145083733\", alpha=\"0.08\", expect_size=\"43525120\"] \n  4 [size=\"108414293\", alpha=\"0.18\", expect_size=\"32524288\"] \n  4 -> 5 [size =\"32524288\"]\n  4 -> 6 [size =\"32524288\"]\n  4 -> 7 [size =\"32524288\"]\n  5 [size=\"62027093\", alpha=\"0.05\", expect_size=\"18608128\"] \n  5 -> 8 [size =\"18608128\"]\n  5 -> 11 [size =\"18608128\"]\n  6 [size=\"96423253\", alpha=\"0.13\", expect_size=\"28926976\"] \n  6 -> 10 [size =\"28926976\"]\n  7 [size=\"78209707\", alpha=\"0.12\", expect_size=\"23462912\"] \n  7 -> 8 [size =\"23462912\"]\n  7 -> 9 [size =\"23462912\"]\n  7 -> 11 [size =\"23462912\"]\n  8 [size=\"121992533\", alpha=\"0.01\", expect_size=\"36597760\"] \n  9 [size=\"157569707\", alpha=\"0.09\", expect_size=\"47270912\"] \n  9 -> 13 [size =\"47270912\"]\n  10 [size=\"106246827\", alpha=\"0.11\", expect_size=\"31874048\"] \n  10 -> 12 [size =\"31874048\"]\n  10 -> 13 [size =\"31874048\"]\n  11 [size=\"90173440\", alpha=\"0.02\", expect_size=\"27052032\"] \n  12 [size=\"103778987\", alpha=\"0.06\", expect_size=\"31133696\"] \n  12 -> 14 [size =\"31133696\"]\n  12 -> 15 [size =\"31133696\"]\n  13 [size=\"165184853\", alpha=\"0.17\", expect_size=\"49555456\"] \n  13 -> 14 [size =\"49555456\"]\n  13 -> 15 [size =\"49555456\"]\n  14 [size=\"70519467\", alpha=\"0.01\", expect_size=\"21155840\"] \n  14 -> 18 [size =\"21155840\"]\n  14 -> 19 [size =\"21155840\"]\n  14 -> 20 [size =\"21155840\"]\n  15 [size=\"50940587\", alpha=\"0.05\", expect_size=\"15282176\"] \n  15 -> 16 [size =\"15282176\"]\n  15 -> 17 [size =\"15282176\"]\n  16 [size=\"87343787\", alpha=\"0.16\", expect_size=\"26203136\"] \n  17 [size=\"36075520\", alpha=\"0.15\", expect_size=\"10822656\"] \n  18 [size=\"132864000\", alpha=\"0.12\", expect_size=\"39859200\"] \n  19 [size=\"142564693\", alpha=\"0.10\", expect_size=\"42769408\"] \n  20 [size=\"59729920\", alpha=\"0.12\", expect_size=\"17918976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35686400\", alpha=\"0.03\", expect_size=\"10705920\"] \n  2 [size=\"135608320\", alpha=\"0.11\", expect_size=\"40682496\"] \n  2 -> 7 [size =\"40682496\"]\n  2 -> 8 [size =\"40682496\"]\n  3 [size=\"46950400\", alpha=\"0.01\", expect_size=\"14085120\"] \n  3 -> 7 [size =\"14085120\"]\n  4 [size=\"145005227\", alpha=\"0.15\", expect_size=\"43501568\"] \n  4 -> 6 [size =\"43501568\"]\n  4 -> 9 [size =\"43501568\"]\n  5 [size=\"57466880\", alpha=\"0.16\", expect_size=\"17240064\"] \n  5 -> 8 [size =\"17240064\"]\n  6 [size=\"69519360\", alpha=\"0.06\", expect_size=\"20855808\"] \n  6 -> 11 [size =\"20855808\"]\n  7 [size=\"115411627\", alpha=\"0.17\", expect_size=\"34623488\"] \n  7 -> 11 [size =\"34623488\"]\n  8 [size=\"173793280\", alpha=\"0.19\", expect_size=\"52137984\"] \n  8 -> 10 [size =\"52137984\"]\n  9 [size=\"139984213\", alpha=\"0.17\", expect_size=\"41995264\"] \n  10 [size=\"142206293\", alpha=\"0.19\", expect_size=\"42661888\"] \n  10 -> 12 [size =\"42661888\"]\n  10 -> 13 [size =\"42661888\"]\n  11 [size=\"141571413\", alpha=\"0.13\", expect_size=\"42471424\"] \n  11 -> 14 [size =\"42471424\"]\n  12 [size=\"165802667\", alpha=\"0.18\", expect_size=\"49740800\"] \n  12 -> 15 [size =\"49740800\"]\n  12 -> 17 [size =\"49740800\"]\n  13 [size=\"93794987\", alpha=\"0.16\", expect_size=\"28138496\"] \n  13 -> 15 [size =\"28138496\"]\n  13 -> 16 [size =\"28138496\"]\n  14 [size=\"100406613\", alpha=\"0.05\", expect_size=\"30121984\"] \n  14 -> 16 [size =\"30121984\"]\n  15 [size=\"57944747\", alpha=\"0.07\", expect_size=\"17383424\"] \n  15 -> 19 [size =\"17383424\"]\n  15 -> 20 [size =\"17383424\"]\n  16 [size=\"24784213\", alpha=\"0.05\", expect_size=\"7435264\"] \n  16 -> 18 [size =\"7435264\"]\n  17 [size=\"70932480\", alpha=\"0.01\", expect_size=\"21279744\"] \n  17 -> 19 [size =\"21279744\"]\n  18 [size=\"50742613\", alpha=\"0.08\", expect_size=\"15222784\"] \n  19 [size=\"43270827\", alpha=\"0.13\", expect_size=\"12981248\"] \n  20 [size=\"18114560\", alpha=\"0.05\", expect_size=\"5434368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43444224\", alpha=\"0.02\", expect_size=\"21722112\"] \n  1 -> 9 [size =\"21722112\"]\n  1 -> 10 [size =\"21722112\"]\n  2 [size=\"83787776\", alpha=\"0.07\", expect_size=\"41893888\"] \n  2 -> 8 [size =\"41893888\"]\n  2 -> 9 [size =\"41893888\"]\n  2 -> 12 [size =\"41893888\"]\n  2 -> 13 [size =\"41893888\"]\n  3 [size=\"46303232\", alpha=\"0.18\", expect_size=\"23151616\"] \n  3 -> 8 [size =\"23151616\"]\n  3 -> 13 [size =\"23151616\"]\n  4 [size=\"67559424\", alpha=\"0.17\", expect_size=\"33779712\"] \n  4 -> 10 [size =\"33779712\"]\n  4 -> 13 [size =\"33779712\"]\n  5 [size=\"64292864\", alpha=\"0.08\", expect_size=\"32146432\"] \n  5 -> 8 [size =\"32146432\"]\n  5 -> 10 [size =\"32146432\"]\n  5 -> 11 [size =\"32146432\"]\n  5 -> 12 [size =\"32146432\"]\n  5 -> 13 [size =\"32146432\"]\n  6 [size=\"87480320\", alpha=\"0.02\", expect_size=\"43740160\"] \n  6 -> 8 [size =\"43740160\"]\n  6 -> 9 [size =\"43740160\"]\n  6 -> 10 [size =\"43740160\"]\n  6 -> 11 [size =\"43740160\"]\n  6 -> 12 [size =\"43740160\"]\n  6 -> 14 [size =\"43740160\"]\n  7 [size=\"38197248\", alpha=\"0.05\", expect_size=\"19098624\"] \n  7 -> 8 [size =\"19098624\"]\n  7 -> 9 [size =\"19098624\"]\n  7 -> 10 [size =\"19098624\"]\n  7 -> 11 [size =\"19098624\"]\n  7 -> 13 [size =\"19098624\"]\n  7 -> 14 [size =\"19098624\"]\n  8 [size=\"83388416\", alpha=\"0.07\", expect_size=\"41694208\"] \n  8 -> 15 [size =\"41694208\"]\n  8 -> 16 [size =\"41694208\"]\n  8 -> 19 [size =\"41694208\"]\n  8 -> 20 [size =\"41694208\"]\n  9 [size=\"13832192\", alpha=\"0.07\", expect_size=\"6916096\"] \n  9 -> 18 [size =\"6916096\"]\n  9 -> 19 [size =\"6916096\"]\n  9 -> 20 [size =\"6916096\"]\n  10 [size=\"16353280\", alpha=\"0.12\", expect_size=\"8176640\"] \n  10 -> 18 [size =\"8176640\"]\n  10 -> 19 [size =\"8176640\"]\n  10 -> 20 [size =\"8176640\"]\n  11 [size=\"48560128\", alpha=\"0.00\", expect_size=\"24280064\"] \n  12 [size=\"56041472\", alpha=\"0.15\", expect_size=\"28020736\"] \n  12 -> 17 [size =\"28020736\"]\n  12 -> 18 [size =\"28020736\"]\n  12 -> 19 [size =\"28020736\"]\n  12 -> 20 [size =\"28020736\"]\n  13 [size=\"90415104\", alpha=\"0.08\", expect_size=\"45207552\"] \n  13 -> 15 [size =\"45207552\"]\n  13 -> 18 [size =\"45207552\"]\n  13 -> 19 [size =\"45207552\"]\n  14 [size=\"82087936\", alpha=\"0.02\", expect_size=\"41043968\"] \n  14 -> 15 [size =\"41043968\"]\n  14 -> 20 [size =\"41043968\"]\n  15 [size=\"69300224\", alpha=\"0.03\", expect_size=\"34650112\"] \n  16 [size=\"11198464\", alpha=\"0.02\", expect_size=\"5599232\"] \n  17 [size=\"19404800\", alpha=\"0.20\", expect_size=\"9702400\"] \n  18 [size=\"44011520\", alpha=\"0.06\", expect_size=\"22005760\"] \n  19 [size=\"77410304\", alpha=\"0.01\", expect_size=\"38705152\"] \n  20 [size=\"16328704\", alpha=\"0.19\", expect_size=\"8164352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75420160\", alpha=\"0.15\", expect_size=\"30168064\"] \n  1 -> 11 [size =\"30168064\"]\n  1 -> 12 [size =\"30168064\"]\n  1 -> 13 [size =\"30168064\"]\n  1 -> 17 [size =\"30168064\"]\n  2 [size=\"25070080\", alpha=\"0.04\", expect_size=\"10028032\"] \n  2 -> 11 [size =\"10028032\"]\n  2 -> 13 [size =\"10028032\"]\n  2 -> 16 [size =\"10028032\"]\n  2 -> 19 [size =\"10028032\"]\n  3 [size=\"93734400\", alpha=\"0.16\", expect_size=\"37493760\"] \n  3 -> 12 [size =\"37493760\"]\n  3 -> 13 [size =\"37493760\"]\n  3 -> 18 [size =\"37493760\"]\n  4 [size=\"54914560\", alpha=\"0.13\", expect_size=\"21965824\"] \n  4 -> 13 [size =\"21965824\"]\n  4 -> 14 [size =\"21965824\"]\n  4 -> 17 [size =\"21965824\"]\n  5 [size=\"13547520\", alpha=\"0.17\", expect_size=\"5419008\"] \n  5 -> 12 [size =\"5419008\"]\n  5 -> 14 [size =\"5419008\"]\n  6 [size=\"19735040\", alpha=\"0.18\", expect_size=\"7894016\"] \n  6 -> 12 [size =\"7894016\"]\n  6 -> 14 [size =\"7894016\"]\n  7 [size=\"31649280\", alpha=\"0.08\", expect_size=\"12659712\"] \n  7 -> 12 [size =\"12659712\"]\n  8 [size=\"90583040\", alpha=\"0.05\", expect_size=\"36233216\"] \n  8 -> 12 [size =\"36233216\"]\n  8 -> 15 [size =\"36233216\"]\n  8 -> 20 [size =\"36233216\"]\n  9 [size=\"122821120\", alpha=\"0.06\", expect_size=\"49128448\"] \n  9 -> 11 [size =\"49128448\"]\n  9 -> 13 [size =\"49128448\"]\n  9 -> 17 [size =\"49128448\"]\n  9 -> 18 [size =\"49128448\"]\n  9 -> 20 [size =\"49128448\"]\n  10 [size=\"76024320\", alpha=\"0.11\", expect_size=\"30409728\"] \n  11 [size=\"129725440\", alpha=\"0.09\", expect_size=\"51890176\"] \n  12 [size=\"101294080\", alpha=\"0.07\", expect_size=\"40517632\"] \n  13 [size=\"127411200\", alpha=\"0.11\", expect_size=\"50964480\"] \n  14 [size=\"101214720\", alpha=\"0.14\", expect_size=\"40485888\"] \n  15 [size=\"62328320\", alpha=\"0.07\", expect_size=\"24931328\"] \n  16 [size=\"44026880\", alpha=\"0.01\", expect_size=\"17610752\"] \n  17 [size=\"33425920\", alpha=\"0.08\", expect_size=\"13370368\"] \n  18 [size=\"82242560\", alpha=\"0.03\", expect_size=\"32897024\"] \n  19 [size=\"109509120\", alpha=\"0.13\", expect_size=\"43803648\"] \n  20 [size=\"26833920\", alpha=\"0.20\", expect_size=\"10733568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129679360\", alpha=\"0.14\", expect_size=\"51871744\"] \n  1 -> 3 [size =\"51871744\"]\n  2 [size=\"82222080\", alpha=\"0.15\", expect_size=\"32888832\"] \n  2 -> 3 [size =\"32888832\"]\n  3 [size=\"107829760\", alpha=\"0.06\", expect_size=\"43131904\"] \n  3 -> 4 [size =\"43131904\"]\n  4 [size=\"119275520\", alpha=\"0.14\", expect_size=\"47710208\"] \n  4 -> 5 [size =\"47710208\"]\n  4 -> 6 [size =\"47710208\"]\n  5 [size=\"54456320\", alpha=\"0.10\", expect_size=\"21782528\"] \n  6 [size=\"91200000\", alpha=\"0.09\", expect_size=\"36480000\"] \n  6 -> 7 [size =\"36480000\"]\n  7 [size=\"124408320\", alpha=\"0.20\", expect_size=\"49763328\"] \n  7 -> 8 [size =\"49763328\"]\n  8 [size=\"21470720\", alpha=\"0.13\", expect_size=\"8588288\"] \n  8 -> 9 [size =\"8588288\"]\n  8 -> 10 [size =\"8588288\"]\n  9 [size=\"117271040\", alpha=\"0.10\", expect_size=\"46908416\"] \n  9 -> 11 [size =\"46908416\"]\n  9 -> 12 [size =\"46908416\"]\n  10 [size=\"34457600\", alpha=\"0.10\", expect_size=\"13783040\"] \n  10 -> 11 [size =\"13783040\"]\n  10 -> 12 [size =\"13783040\"]\n  11 [size=\"66967040\", alpha=\"0.10\", expect_size=\"26786816\"] \n  11 -> 13 [size =\"26786816\"]\n  11 -> 14 [size =\"26786816\"]\n  12 [size=\"32832000\", alpha=\"0.03\", expect_size=\"13132800\"] \n  12 -> 13 [size =\"13132800\"]\n  12 -> 14 [size =\"13132800\"]\n  13 [size=\"119823360\", alpha=\"0.12\", expect_size=\"47929344\"] \n  13 -> 15 [size =\"47929344\"]\n  13 -> 16 [size =\"47929344\"]\n  14 [size=\"40135680\", alpha=\"0.17\", expect_size=\"16054272\"] \n  14 -> 15 [size =\"16054272\"]\n  15 [size=\"122304000\", alpha=\"0.14\", expect_size=\"48921600\"] \n  15 -> 17 [size =\"48921600\"]\n  16 [size=\"62517760\", alpha=\"0.06\", expect_size=\"25007104\"] \n  16 -> 17 [size =\"25007104\"]\n  17 [size=\"114856960\", alpha=\"0.01\", expect_size=\"45942784\"] \n  17 -> 18 [size =\"45942784\"]\n  18 [size=\"114508800\", alpha=\"0.17\", expect_size=\"45803520\"] \n  18 -> 19 [size =\"45803520\"]\n  19 [size=\"72335360\", alpha=\"0.08\", expect_size=\"28934144\"] \n  19 -> 20 [size =\"28934144\"]\n  20 [size=\"130053120\", alpha=\"0.03\", expect_size=\"52021248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32548864\", alpha=\"0.10\", expect_size=\"16274432\"] \n  1 -> 14 [size =\"16274432\"]\n  1 -> 15 [size =\"16274432\"]\n  1 -> 17 [size =\"16274432\"]\n  1 -> 19 [size =\"16274432\"]\n  2 [size=\"102840320\", alpha=\"0.18\", expect_size=\"51420160\"] \n  2 -> 15 [size =\"51420160\"]\n  2 -> 16 [size =\"51420160\"]\n  2 -> 17 [size =\"51420160\"]\n  2 -> 18 [size =\"51420160\"]\n  2 -> 20 [size =\"51420160\"]\n  3 [size=\"95242240\", alpha=\"0.16\", expect_size=\"47621120\"] \n  3 -> 14 [size =\"47621120\"]\n  3 -> 16 [size =\"47621120\"]\n  3 -> 20 [size =\"47621120\"]\n  4 [size=\"57032704\", alpha=\"0.07\", expect_size=\"28516352\"] \n  4 -> 18 [size =\"28516352\"]\n  4 -> 19 [size =\"28516352\"]\n  5 [size=\"101054464\", alpha=\"0.01\", expect_size=\"50527232\"] \n  5 -> 17 [size =\"50527232\"]\n  5 -> 19 [size =\"50527232\"]\n  6 [size=\"19998720\", alpha=\"0.01\", expect_size=\"9999360\"] \n  6 -> 15 [size =\"9999360\"]\n  6 -> 17 [size =\"9999360\"]\n  6 -> 18 [size =\"9999360\"]\n  6 -> 19 [size =\"9999360\"]\n  6 -> 20 [size =\"9999360\"]\n  7 [size=\"51240960\", alpha=\"0.04\", expect_size=\"25620480\"] \n  7 -> 17 [size =\"25620480\"]\n  7 -> 17 [size =\"25620480\"]\n  7 -> 18 [size =\"25620480\"]\n  7 -> 19 [size =\"25620480\"]\n  8 [size=\"69351424\", alpha=\"0.13\", expect_size=\"34675712\"] \n  8 -> 14 [size =\"34675712\"]\n  8 -> 15 [size =\"34675712\"]\n  8 -> 17 [size =\"34675712\"]\n  8 -> 20 [size =\"34675712\"]\n  9 [size=\"81123328\", alpha=\"0.03\", expect_size=\"40561664\"] \n  9 -> 16 [size =\"40561664\"]\n  9 -> 17 [size =\"40561664\"]\n  9 -> 18 [size =\"40561664\"]\n  9 -> 19 [size =\"40561664\"]\n  9 -> 20 [size =\"40561664\"]\n  10 [size=\"82630656\", alpha=\"0.06\", expect_size=\"41315328\"] \n  10 -> 15 [size =\"41315328\"]\n  10 -> 16 [size =\"41315328\"]\n  10 -> 18 [size =\"41315328\"]\n  10 -> 20 [size =\"41315328\"]\n  11 [size=\"92379136\", alpha=\"0.00\", expect_size=\"46189568\"] \n  11 -> 17 [size =\"46189568\"]\n  11 -> 19 [size =\"46189568\"]\n  12 [size=\"44271616\", alpha=\"0.07\", expect_size=\"22135808\"] \n  12 -> 14 [size =\"22135808\"]\n  12 -> 15 [size =\"22135808\"]\n  12 -> 17 [size =\"22135808\"]\n  13 [size=\"34447360\", alpha=\"0.07\", expect_size=\"17223680\"] \n  13 -> 14 [size =\"17223680\"]\n  13 -> 16 [size =\"17223680\"]\n  13 -> 19 [size =\"17223680\"]\n  13 -> 20 [size =\"17223680\"]\n  14 [size=\"16459776\", alpha=\"0.03\", expect_size=\"8229888\"] \n  15 [size=\"51382272\", alpha=\"0.02\", expect_size=\"25691136\"] \n  16 [size=\"57313280\", alpha=\"0.12\", expect_size=\"28656640\"] \n  17 [size=\"61825024\", alpha=\"0.13\", expect_size=\"30912512\"] \n  18 [size=\"82010112\", alpha=\"0.16\", expect_size=\"41005056\"] \n  19 [size=\"47603712\", alpha=\"0.11\", expect_size=\"23801856\"] \n  20 [size=\"62152704\", alpha=\"0.17\", expect_size=\"31076352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66380800\", alpha=\"0.15\", expect_size=\"26552320\"] \n  1 -> 15 [size =\"26552320\"]\n  2 [size=\"56803840\", alpha=\"0.12\", expect_size=\"22721536\"] \n  2 -> 15 [size =\"22721536\"]\n  2 -> 16 [size =\"22721536\"]\n  3 [size=\"28454400\", alpha=\"0.07\", expect_size=\"11381760\"] \n  3 -> 16 [size =\"11381760\"]\n  3 -> 18 [size =\"11381760\"]\n  3 -> 19 [size =\"11381760\"]\n  4 [size=\"31109120\", alpha=\"0.12\", expect_size=\"12443648\"] \n  4 -> 18 [size =\"12443648\"]\n  5 [size=\"123991040\", alpha=\"0.16\", expect_size=\"49596416\"] \n  6 [size=\"92638720\", alpha=\"0.14\", expect_size=\"37055488\"] \n  6 -> 16 [size =\"37055488\"]\n  6 -> 19 [size =\"37055488\"]\n  7 [size=\"41479680\", alpha=\"0.11\", expect_size=\"16591872\"] \n  7 -> 15 [size =\"16591872\"]\n  7 -> 16 [size =\"16591872\"]\n  7 -> 18 [size =\"16591872\"]\n  8 [size=\"28546560\", alpha=\"0.12\", expect_size=\"11418624\"] \n  8 -> 16 [size =\"11418624\"]\n  8 -> 19 [size =\"11418624\"]\n  9 [size=\"85568000\", alpha=\"0.01\", expect_size=\"34227200\"] \n  9 -> 16 [size =\"34227200\"]\n  9 -> 19 [size =\"34227200\"]\n  10 [size=\"78144000\", alpha=\"0.13\", expect_size=\"31257600\"] \n  10 -> 18 [size =\"31257600\"]\n  11 [size=\"49991680\", alpha=\"0.03\", expect_size=\"19996672\"] \n  11 -> 18 [size =\"19996672\"]\n  12 [size=\"18519040\", alpha=\"0.09\", expect_size=\"7407616\"] \n  12 -> 18 [size =\"7407616\"]\n  12 -> 19 [size =\"7407616\"]\n  12 -> 20 [size =\"7407616\"]\n  13 [size=\"87436800\", alpha=\"0.06\", expect_size=\"34974720\"] \n  14 [size=\"129569280\", alpha=\"0.04\", expect_size=\"51827712\"] \n  14 -> 17 [size =\"51827712\"]\n  15 [size=\"81095680\", alpha=\"0.10\", expect_size=\"32438272\"] \n  16 [size=\"57940480\", alpha=\"0.16\", expect_size=\"23176192\"] \n  17 [size=\"24046080\", alpha=\"0.01\", expect_size=\"9618432\"] \n  18 [size=\"88499200\", alpha=\"0.14\", expect_size=\"35399680\"] \n  19 [size=\"38760960\", alpha=\"0.15\", expect_size=\"15504384\"] \n  20 [size=\"45294080\", alpha=\"0.11\", expect_size=\"18117632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62697472\", alpha=\"0.02\", expect_size=\"31348736\"] \n  1 -> 18 [size =\"31348736\"]\n  1 -> 19 [size =\"31348736\"]\n  1 -> 20 [size =\"31348736\"]\n  2 [size=\"39540736\", alpha=\"0.03\", expect_size=\"19770368\"] \n  2 -> 14 [size =\"19770368\"]\n  2 -> 16 [size =\"19770368\"]\n  2 -> 19 [size =\"19770368\"]\n  2 -> 20 [size =\"19770368\"]\n  3 [size=\"32786432\", alpha=\"0.07\", expect_size=\"16393216\"] \n  3 -> 19 [size =\"16393216\"]\n  3 -> 20 [size =\"16393216\"]\n  4 [size=\"102115328\", alpha=\"0.14\", expect_size=\"51057664\"] \n  4 -> 14 [size =\"51057664\"]\n  4 -> 16 [size =\"51057664\"]\n  4 -> 19 [size =\"51057664\"]\n  4 -> 20 [size =\"51057664\"]\n  5 [size=\"49836032\", alpha=\"0.03\", expect_size=\"24918016\"] \n  5 -> 18 [size =\"24918016\"]\n  5 -> 19 [size =\"24918016\"]\n  5 -> 19 [size =\"24918016\"]\n  6 [size=\"76134400\", alpha=\"0.01\", expect_size=\"38067200\"] \n  7 [size=\"93261824\", alpha=\"0.09\", expect_size=\"46630912\"] \n  7 -> 14 [size =\"46630912\"]\n  7 -> 15 [size =\"46630912\"]\n  8 [size=\"92008448\", alpha=\"0.11\", expect_size=\"46004224\"] \n  8 -> 14 [size =\"46004224\"]\n  9 [size=\"12668928\", alpha=\"0.15\", expect_size=\"6334464\"] \n  9 -> 14 [size =\"6334464\"]\n  9 -> 16 [size =\"6334464\"]\n  10 [size=\"26218496\", alpha=\"0.01\", expect_size=\"13109248\"] \n  10 -> 14 [size =\"13109248\"]\n  10 -> 16 [size =\"13109248\"]\n  10 -> 17 [size =\"13109248\"]\n  10 -> 18 [size =\"13109248\"]\n  10 -> 20 [size =\"13109248\"]\n  11 [size=\"34291712\", alpha=\"0.03\", expect_size=\"17145856\"] \n  11 -> 14 [size =\"17145856\"]\n  11 -> 16 [size =\"17145856\"]\n  11 -> 17 [size =\"17145856\"]\n  11 -> 19 [size =\"17145856\"]\n  11 -> 20 [size =\"17145856\"]\n  12 [size=\"43624448\", alpha=\"0.14\", expect_size=\"21812224\"] \n  12 -> 14 [size =\"21812224\"]\n  12 -> 16 [size =\"21812224\"]\n  13 [size=\"59799552\", alpha=\"0.04\", expect_size=\"29899776\"] \n  13 -> 14 [size =\"29899776\"]\n  13 -> 16 [size =\"29899776\"]\n  13 -> 18 [size =\"29899776\"]\n  13 -> 19 [size =\"29899776\"]\n  13 -> 20 [size =\"29899776\"]\n  14 [size=\"94959616\", alpha=\"0.18\", expect_size=\"47479808\"] \n  15 [size=\"65546240\", alpha=\"0.12\", expect_size=\"32773120\"] \n  16 [size=\"80795648\", alpha=\"0.15\", expect_size=\"40397824\"] \n  17 [size=\"83601408\", alpha=\"0.03\", expect_size=\"41800704\"] \n  18 [size=\"31113216\", alpha=\"0.04\", expect_size=\"15556608\"] \n  19 [size=\"80826368\", alpha=\"0.13\", expect_size=\"40413184\"] \n  20 [size=\"55132160\", alpha=\"0.03\", expect_size=\"27566080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173260800\", alpha=\"0.06\", expect_size=\"51978240\"] \n  1 -> 6 [size =\"51978240\"]\n  1 -> 8 [size =\"51978240\"]\n  1 -> 9 [size =\"51978240\"]\n  1 -> 10 [size =\"51978240\"]\n  1 -> 11 [size =\"51978240\"]\n  2 [size=\"139690667\", alpha=\"0.10\", expect_size=\"41907200\"] \n  2 -> 7 [size =\"41907200\"]\n  2 -> 8 [size =\"41907200\"]\n  2 -> 9 [size =\"41907200\"]\n  2 -> 10 [size =\"41907200\"]\n  2 -> 11 [size =\"41907200\"]\n  2 -> 12 [size =\"41907200\"]\n  3 [size=\"140035413\", alpha=\"0.18\", expect_size=\"42010624\"] \n  3 -> 9 [size =\"42010624\"]\n  3 -> 10 [size =\"42010624\"]\n  3 -> 11 [size =\"42010624\"]\n  3 -> 12 [size =\"42010624\"]\n  4 [size=\"145506987\", alpha=\"0.17\", expect_size=\"43652096\"] \n  4 -> 6 [size =\"43652096\"]\n  4 -> 8 [size =\"43652096\"]\n  4 -> 12 [size =\"43652096\"]\n  5 [size=\"149009067\", alpha=\"0.01\", expect_size=\"44702720\"] \n  6 [size=\"78107307\", alpha=\"0.00\", expect_size=\"23432192\"] \n  6 -> 13 [size =\"23432192\"]\n  6 -> 14 [size =\"23432192\"]\n  6 -> 20 [size =\"23432192\"]\n  7 [size=\"37266773\", alpha=\"0.14\", expect_size=\"11180032\"] \n  7 -> 13 [size =\"11180032\"]\n  7 -> 18 [size =\"11180032\"]\n  8 [size=\"37201920\", alpha=\"0.18\", expect_size=\"11160576\"] \n  8 -> 14 [size =\"11160576\"]\n  8 -> 17 [size =\"11160576\"]\n  8 -> 20 [size =\"11160576\"]\n  9 [size=\"123931307\", alpha=\"0.19\", expect_size=\"37179392\"] \n  9 -> 13 [size =\"37179392\"]\n  9 -> 17 [size =\"37179392\"]\n  9 -> 20 [size =\"37179392\"]\n  10 [size=\"104349013\", alpha=\"0.05\", expect_size=\"31304704\"] \n  10 -> 15 [size =\"31304704\"]\n  10 -> 19 [size =\"31304704\"]\n  11 [size=\"68864000\", alpha=\"0.05\", expect_size=\"20659200\"] \n  11 -> 13 [size =\"20659200\"]\n  11 -> 15 [size =\"20659200\"]\n  11 -> 18 [size =\"20659200\"]\n  12 [size=\"114780160\", alpha=\"0.12\", expect_size=\"34434048\"] \n  12 -> 16 [size =\"34434048\"]\n  12 -> 17 [size =\"34434048\"]\n  12 -> 18 [size =\"34434048\"]\n  12 -> 20 [size =\"34434048\"]\n  13 [size=\"33232213\", alpha=\"0.11\", expect_size=\"9969664\"] \n  14 [size=\"21097813\", alpha=\"0.04\", expect_size=\"6329344\"] \n  15 [size=\"152439467\", alpha=\"0.20\", expect_size=\"45731840\"] \n  16 [size=\"162856960\", alpha=\"0.19\", expect_size=\"48857088\"] \n  17 [size=\"165816320\", alpha=\"0.04\", expect_size=\"49744896\"] \n  18 [size=\"117418667\", alpha=\"0.11\", expect_size=\"35225600\"] \n  19 [size=\"101198507\", alpha=\"0.12\", expect_size=\"30359552\"] \n  20 [size=\"97129813\", alpha=\"0.14\", expect_size=\"29138944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38475093\", alpha=\"0.05\", expect_size=\"11542528\"] \n  1 -> 8 [size =\"11542528\"]\n  1 -> 11 [size =\"11542528\"]\n  2 [size=\"96525653\", alpha=\"0.02\", expect_size=\"28957696\"] \n  2 -> 7 [size =\"28957696\"]\n  3 [size=\"88715947\", alpha=\"0.15\", expect_size=\"26614784\"] \n  3 -> 7 [size =\"26614784\"]\n  3 -> 10 [size =\"26614784\"]\n  3 -> 11 [size =\"26614784\"]\n  4 [size=\"36679680\", alpha=\"0.17\", expect_size=\"11003904\"] \n  4 -> 7 [size =\"11003904\"]\n  4 -> 8 [size =\"11003904\"]\n  4 -> 9 [size =\"11003904\"]\n  4 -> 10 [size =\"11003904\"]\n  4 -> 11 [size =\"11003904\"]\n  5 [size=\"137390080\", alpha=\"0.12\", expect_size=\"41217024\"] \n  5 -> 9 [size =\"41217024\"]\n  5 -> 10 [size =\"41217024\"]\n  5 -> 11 [size =\"41217024\"]\n  6 [size=\"61610667\", alpha=\"0.04\", expect_size=\"18483200\"] \n  6 -> 9 [size =\"18483200\"]\n  6 -> 10 [size =\"18483200\"]\n  6 -> 11 [size =\"18483200\"]\n  7 [size=\"134690133\", alpha=\"0.19\", expect_size=\"40407040\"] \n  7 -> 12 [size =\"40407040\"]\n  7 -> 14 [size =\"40407040\"]\n  7 -> 17 [size =\"40407040\"]\n  8 [size=\"32938667\", alpha=\"0.07\", expect_size=\"9881600\"] \n  8 -> 13 [size =\"9881600\"]\n  8 -> 14 [size =\"9881600\"]\n  8 -> 15 [size =\"9881600\"]\n  8 -> 16 [size =\"9881600\"]\n  8 -> 17 [size =\"9881600\"]\n  8 -> 18 [size =\"9881600\"]\n  8 -> 19 [size =\"9881600\"]\n  8 -> 20 [size =\"9881600\"]\n  9 [size=\"109475840\", alpha=\"0.03\", expect_size=\"32842752\"] \n  9 -> 13 [size =\"32842752\"]\n  9 -> 14 [size =\"32842752\"]\n  9 -> 16 [size =\"32842752\"]\n  9 -> 19 [size =\"32842752\"]\n  9 -> 20 [size =\"32842752\"]\n  10 [size=\"65542827\", alpha=\"0.05\", expect_size=\"19662848\"] \n  10 -> 12 [size =\"19662848\"]\n  10 -> 13 [size =\"19662848\"]\n  10 -> 14 [size =\"19662848\"]\n  10 -> 15 [size =\"19662848\"]\n  10 -> 16 [size =\"19662848\"]\n  10 -> 19 [size =\"19662848\"]\n  10 -> 20 [size =\"19662848\"]\n  11 [size=\"47407787\", alpha=\"0.13\", expect_size=\"14222336\"] \n  11 -> 12 [size =\"14222336\"]\n  11 -> 13 [size =\"14222336\"]\n  11 -> 16 [size =\"14222336\"]\n  11 -> 18 [size =\"14222336\"]\n  11 -> 19 [size =\"14222336\"]\n  12 [size=\"85097813\", alpha=\"0.11\", expect_size=\"25529344\"] \n  13 [size=\"100802560\", alpha=\"0.10\", expect_size=\"30240768\"] \n  14 [size=\"62341120\", alpha=\"0.06\", expect_size=\"18702336\"] \n  15 [size=\"35423573\", alpha=\"0.19\", expect_size=\"10627072\"] \n  16 [size=\"130955947\", alpha=\"0.15\", expect_size=\"39286784\"] \n  17 [size=\"159034027\", alpha=\"0.09\", expect_size=\"47710208\"] \n  18 [size=\"151517867\", alpha=\"0.15\", expect_size=\"45455360\"] \n  19 [size=\"47267840\", alpha=\"0.20\", expect_size=\"14180352\"] \n  20 [size=\"67109547\", alpha=\"0.10\", expect_size=\"20132864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61941760\", alpha=\"0.12\", expect_size=\"24776704\"] \n  1 -> 9 [size =\"24776704\"]\n  1 -> 11 [size =\"24776704\"]\n  1 -> 12 [size =\"24776704\"]\n  1 -> 14 [size =\"24776704\"]\n  2 [size=\"65789440\", alpha=\"0.06\", expect_size=\"26315776\"] \n  2 -> 9 [size =\"26315776\"]\n  2 -> 11 [size =\"26315776\"]\n  2 -> 12 [size =\"26315776\"]\n  3 [size=\"47482880\", alpha=\"0.08\", expect_size=\"18993152\"] \n  3 -> 9 [size =\"18993152\"]\n  3 -> 11 [size =\"18993152\"]\n  3 -> 12 [size =\"18993152\"]\n  4 [size=\"39877120\", alpha=\"0.06\", expect_size=\"15950848\"] \n  4 -> 10 [size =\"15950848\"]\n  4 -> 12 [size =\"15950848\"]\n  4 -> 14 [size =\"15950848\"]\n  5 [size=\"24939520\", alpha=\"0.13\", expect_size=\"9975808\"] \n  5 -> 9 [size =\"9975808\"]\n  5 -> 13 [size =\"9975808\"]\n  5 -> 14 [size =\"9975808\"]\n  6 [size=\"78305280\", alpha=\"0.19\", expect_size=\"31322112\"] \n  6 -> 14 [size =\"31322112\"]\n  7 [size=\"126484480\", alpha=\"0.19\", expect_size=\"50593792\"] \n  7 -> 10 [size =\"50593792\"]\n  7 -> 13 [size =\"50593792\"]\n  8 [size=\"14909440\", alpha=\"0.13\", expect_size=\"5963776\"] \n  8 -> 12 [size =\"5963776\"]\n  9 [size=\"115146240\", alpha=\"0.18\", expect_size=\"46058496\"] \n  9 -> 16 [size =\"46058496\"]\n  9 -> 17 [size =\"46058496\"]\n  9 -> 18 [size =\"46058496\"]\n  9 -> 19 [size =\"46058496\"]\n  10 [size=\"103598080\", alpha=\"0.03\", expect_size=\"41439232\"] \n  10 -> 17 [size =\"41439232\"]\n  11 [size=\"55741440\", alpha=\"0.05\", expect_size=\"22296576\"] \n  11 -> 15 [size =\"22296576\"]\n  11 -> 18 [size =\"22296576\"]\n  11 -> 20 [size =\"22296576\"]\n  12 [size=\"129095680\", alpha=\"0.17\", expect_size=\"51638272\"] \n  12 -> 15 [size =\"51638272\"]\n  12 -> 20 [size =\"51638272\"]\n  13 [size=\"48944640\", alpha=\"0.18\", expect_size=\"19577856\"] \n  13 -> 15 [size =\"19577856\"]\n  13 -> 17 [size =\"19577856\"]\n  13 -> 20 [size =\"19577856\"]\n  14 [size=\"96325120\", alpha=\"0.17\", expect_size=\"38530048\"] \n  14 -> 16 [size =\"38530048\"]\n  14 -> 17 [size =\"38530048\"]\n  14 -> 20 [size =\"38530048\"]\n  15 [size=\"130969600\", alpha=\"0.05\", expect_size=\"52387840\"] \n  16 [size=\"91187200\", alpha=\"0.04\", expect_size=\"36474880\"] \n  17 [size=\"87191040\", alpha=\"0.14\", expect_size=\"34876416\"] \n  18 [size=\"79493120\", alpha=\"0.08\", expect_size=\"31797248\"] \n  19 [size=\"41067520\", alpha=\"0.11\", expect_size=\"16427008\"] \n  20 [size=\"26854400\", alpha=\"0.07\", expect_size=\"10741760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95792640\", alpha=\"0.10\", expect_size=\"38317056\"] \n  2 [size=\"20764160\", alpha=\"0.14\", expect_size=\"8305664\"] \n  3 [size=\"123176960\", alpha=\"0.11\", expect_size=\"49270784\"] \n  3 -> 19 [size =\"49270784\"]\n  4 [size=\"98877440\", alpha=\"0.11\", expect_size=\"39550976\"] \n  5 [size=\"45972480\", alpha=\"0.15\", expect_size=\"18388992\"] \n  5 -> 18 [size =\"18388992\"]\n  6 [size=\"94855680\", alpha=\"0.16\", expect_size=\"37942272\"] \n  6 -> 18 [size =\"37942272\"]\n  6 -> 19 [size =\"37942272\"]\n  7 [size=\"85363200\", alpha=\"0.08\", expect_size=\"34145280\"] \n  7 -> 19 [size =\"34145280\"]\n  8 [size=\"34168320\", alpha=\"0.04\", expect_size=\"13667328\"] \n  9 [size=\"24330240\", alpha=\"0.06\", expect_size=\"9732096\"] \n  9 -> 19 [size =\"9732096\"]\n  10 [size=\"14074880\", alpha=\"0.04\", expect_size=\"5629952\"] \n  10 -> 19 [size =\"5629952\"]\n  11 [size=\"26805760\", alpha=\"0.05\", expect_size=\"10722304\"] \n  11 -> 18 [size =\"10722304\"]\n  12 [size=\"83128320\", alpha=\"0.19\", expect_size=\"33251328\"] \n  12 -> 18 [size =\"33251328\"]\n  13 [size=\"46187520\", alpha=\"0.08\", expect_size=\"18475008\"] \n  13 -> 20 [size =\"18475008\"]\n  14 [size=\"109132800\", alpha=\"0.19\", expect_size=\"43653120\"] \n  15 [size=\"58250240\", alpha=\"0.19\", expect_size=\"23300096\"] \n  15 -> 18 [size =\"23300096\"]\n  16 [size=\"28695040\", alpha=\"0.18\", expect_size=\"11478016\"] \n  17 [size=\"120962560\", alpha=\"0.19\", expect_size=\"48385024\"] \n  17 -> 19 [size =\"48385024\"]\n  18 [size=\"49431040\", alpha=\"0.09\", expect_size=\"19772416\"] \n  19 [size=\"70430720\", alpha=\"0.04\", expect_size=\"28172288\"] \n  20 [size=\"106416640\", alpha=\"0.04\", expect_size=\"42566656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59499520\", alpha=\"0.01\", expect_size=\"23799808\"] \n  2 [size=\"87795200\", alpha=\"0.11\", expect_size=\"35118080\"] \n  2 -> 3 [size =\"35118080\"]\n  2 -> 4 [size =\"35118080\"]\n  2 -> 5 [size =\"35118080\"]\n  3 [size=\"111695360\", alpha=\"0.05\", expect_size=\"44678144\"] \n  3 -> 6 [size =\"44678144\"]\n  3 -> 7 [size =\"44678144\"]\n  4 [size=\"65369600\", alpha=\"0.04\", expect_size=\"26147840\"] \n  4 -> 6 [size =\"26147840\"]\n  4 -> 8 [size =\"26147840\"]\n  5 [size=\"111091200\", alpha=\"0.15\", expect_size=\"44436480\"] \n  5 -> 7 [size =\"44436480\"]\n  6 [size=\"34816000\", alpha=\"0.18\", expect_size=\"13926400\"] \n  6 -> 11 [size =\"13926400\"]\n  6 -> 12 [size =\"13926400\"]\n  7 [size=\"65098240\", alpha=\"0.10\", expect_size=\"26039296\"] \n  7 -> 10 [size =\"26039296\"]\n  7 -> 11 [size =\"26039296\"]\n  8 [size=\"90401280\", alpha=\"0.03\", expect_size=\"36160512\"] \n  8 -> 9 [size =\"36160512\"]\n  8 -> 10 [size =\"36160512\"]\n  8 -> 12 [size =\"36160512\"]\n  9 [size=\"41502720\", alpha=\"0.12\", expect_size=\"16601088\"] \n  9 -> 15 [size =\"16601088\"]\n  9 -> 17 [size =\"16601088\"]\n  10 [size=\"77637120\", alpha=\"0.09\", expect_size=\"31054848\"] \n  10 -> 13 [size =\"31054848\"]\n  10 -> 14 [size =\"31054848\"]\n  11 [size=\"19450880\", alpha=\"0.04\", expect_size=\"7780352\"] \n  11 -> 13 [size =\"7780352\"]\n  11 -> 16 [size =\"7780352\"]\n  12 [size=\"24696320\", alpha=\"0.05\", expect_size=\"9878528\"] \n  12 -> 14 [size =\"9878528\"]\n  12 -> 15 [size =\"9878528\"]\n  12 -> 16 [size =\"9878528\"]\n  13 [size=\"89763840\", alpha=\"0.09\", expect_size=\"35905536\"] \n  13 -> 20 [size =\"35905536\"]\n  14 [size=\"120780800\", alpha=\"0.01\", expect_size=\"48312320\"] \n  14 -> 18 [size =\"48312320\"]\n  15 [size=\"29150720\", alpha=\"0.03\", expect_size=\"11660288\"] \n  15 -> 18 [size =\"11660288\"]\n  15 -> 19 [size =\"11660288\"]\n  16 [size=\"118768640\", alpha=\"0.10\", expect_size=\"47507456\"] \n  17 [size=\"109831680\", alpha=\"0.02\", expect_size=\"43932672\"] \n  17 -> 20 [size =\"43932672\"]\n  18 [size=\"53137920\", alpha=\"0.02\", expect_size=\"21255168\"] \n  19 [size=\"69913600\", alpha=\"0.05\", expect_size=\"27965440\"] \n  20 [size=\"20170240\", alpha=\"0.01\", expect_size=\"8068096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50624000\", alpha=\"0.11\", expect_size=\"20249600\"] \n  1 -> 5 [size =\"20249600\"]\n  1 -> 6 [size =\"20249600\"]\n  2 [size=\"36380160\", alpha=\"0.18\", expect_size=\"14552064\"] \n  2 -> 6 [size =\"14552064\"]\n  3 [size=\"105336320\", alpha=\"0.20\", expect_size=\"42134528\"] \n  4 [size=\"59248640\", alpha=\"0.04\", expect_size=\"23699456\"] \n  4 -> 6 [size =\"23699456\"]\n  5 [size=\"107668480\", alpha=\"0.18\", expect_size=\"43067392\"] \n  5 -> 7 [size =\"43067392\"]\n  5 -> 8 [size =\"43067392\"]\n  5 -> 9 [size =\"43067392\"]\n  6 [size=\"105920000\", alpha=\"0.05\", expect_size=\"42368000\"] \n  6 -> 8 [size =\"42368000\"]\n  6 -> 9 [size =\"42368000\"]\n  7 [size=\"104128000\", alpha=\"0.18\", expect_size=\"41651200\"] \n  7 -> 11 [size =\"41651200\"]\n  7 -> 12 [size =\"41651200\"]\n  8 [size=\"122483200\", alpha=\"0.16\", expect_size=\"48993280\"] \n  8 -> 12 [size =\"48993280\"]\n  9 [size=\"109483520\", alpha=\"0.05\", expect_size=\"43793408\"] \n  9 -> 10 [size =\"43793408\"]\n  9 -> 12 [size =\"43793408\"]\n  10 [size=\"49169920\", alpha=\"0.15\", expect_size=\"19667968\"] \n  10 -> 13 [size =\"19667968\"]\n  11 [size=\"107904000\", alpha=\"0.15\", expect_size=\"43161600\"] \n  11 -> 13 [size =\"43161600\"]\n  11 -> 14 [size =\"43161600\"]\n  11 -> 15 [size =\"43161600\"]\n  12 [size=\"54556160\", alpha=\"0.09\", expect_size=\"21822464\"] \n  12 -> 13 [size =\"21822464\"]\n  12 -> 15 [size =\"21822464\"]\n  13 [size=\"43473920\", alpha=\"0.06\", expect_size=\"17389568\"] \n  13 -> 16 [size =\"17389568\"]\n  13 -> 19 [size =\"17389568\"]\n  14 [size=\"42037760\", alpha=\"0.15\", expect_size=\"16815104\"] \n  14 -> 16 [size =\"16815104\"]\n  14 -> 17 [size =\"16815104\"]\n  14 -> 18 [size =\"16815104\"]\n  14 -> 19 [size =\"16815104\"]\n  15 [size=\"65689600\", alpha=\"0.19\", expect_size=\"26275840\"] \n  15 -> 16 [size =\"26275840\"]\n  15 -> 19 [size =\"26275840\"]\n  16 [size=\"53893120\", alpha=\"0.09\", expect_size=\"21557248\"] \n  16 -> 20 [size =\"21557248\"]\n  17 [size=\"80944640\", alpha=\"0.15\", expect_size=\"32377856\"] \n  18 [size=\"71948800\", alpha=\"0.14\", expect_size=\"28779520\"] \n  18 -> 20 [size =\"28779520\"]\n  19 [size=\"47303680\", alpha=\"0.15\", expect_size=\"18921472\"] \n  19 -> 20 [size =\"18921472\"]\n  20 [size=\"75284480\", alpha=\"0.02\", expect_size=\"30113792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88532480\", alpha=\"0.15\", expect_size=\"35412992\"] \n  1 -> 3 [size =\"35412992\"]\n  1 -> 4 [size =\"35412992\"]\n  2 [size=\"114969600\", alpha=\"0.05\", expect_size=\"45987840\"] \n  2 -> 3 [size =\"45987840\"]\n  2 -> 4 [size =\"45987840\"]\n  3 [size=\"97871360\", alpha=\"0.08\", expect_size=\"39148544\"] \n  3 -> 5 [size =\"39148544\"]\n  3 -> 6 [size =\"39148544\"]\n  4 [size=\"47828480\", alpha=\"0.03\", expect_size=\"19131392\"] \n  4 -> 6 [size =\"19131392\"]\n  5 [size=\"60544000\", alpha=\"0.19\", expect_size=\"24217600\"] \n  5 -> 7 [size =\"24217600\"]\n  5 -> 8 [size =\"24217600\"]\n  6 [size=\"18872320\", alpha=\"0.15\", expect_size=\"7548928\"] \n  6 -> 7 [size =\"7548928\"]\n  6 -> 8 [size =\"7548928\"]\n  7 [size=\"69248000\", alpha=\"0.11\", expect_size=\"27699200\"] \n  8 [size=\"58882560\", alpha=\"0.15\", expect_size=\"23553024\"] \n  8 -> 9 [size =\"23553024\"]\n  9 [size=\"111856640\", alpha=\"0.12\", expect_size=\"44742656\"] \n  9 -> 10 [size =\"44742656\"]\n  10 [size=\"71308800\", alpha=\"0.14\", expect_size=\"28523520\"] \n  10 -> 11 [size =\"28523520\"]\n  10 -> 12 [size =\"28523520\"]\n  11 [size=\"115709440\", alpha=\"0.20\", expect_size=\"46283776\"] \n  11 -> 13 [size =\"46283776\"]\n  11 -> 14 [size =\"46283776\"]\n  12 [size=\"85916160\", alpha=\"0.19\", expect_size=\"34366464\"] \n  12 -> 13 [size =\"34366464\"]\n  12 -> 14 [size =\"34366464\"]\n  13 [size=\"115801600\", alpha=\"0.18\", expect_size=\"46320640\"] \n  13 -> 15 [size =\"46320640\"]\n  14 [size=\"45775360\", alpha=\"0.12\", expect_size=\"18310144\"] \n  14 -> 16 [size =\"18310144\"]\n  15 [size=\"65697280\", alpha=\"0.15\", expect_size=\"26278912\"] \n  15 -> 18 [size =\"26278912\"]\n  16 [size=\"58841600\", alpha=\"0.08\", expect_size=\"23536640\"] \n  16 -> 17 [size =\"23536640\"]\n  16 -> 18 [size =\"23536640\"]\n  17 [size=\"32125440\", alpha=\"0.19\", expect_size=\"12850176\"] \n  18 [size=\"95421440\", alpha=\"0.06\", expect_size=\"38168576\"] \n  18 -> 19 [size =\"38168576\"]\n  19 [size=\"66350080\", alpha=\"0.06\", expect_size=\"26540032\"] \n  19 -> 20 [size =\"26540032\"]\n  20 [size=\"22074880\", alpha=\"0.02\", expect_size=\"8829952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85335040\", alpha=\"0.07\", expect_size=\"34134016\"] \n  1 -> 8 [size =\"34134016\"]\n  1 -> 12 [size =\"34134016\"]\n  1 -> 13 [size =\"34134016\"]\n  1 -> 15 [size =\"34134016\"]\n  2 [size=\"78397440\", alpha=\"0.17\", expect_size=\"31358976\"] \n  2 -> 10 [size =\"31358976\"]\n  2 -> 17 [size =\"31358976\"]\n  3 [size=\"28928000\", alpha=\"0.10\", expect_size=\"11571200\"] \n  3 -> 9 [size =\"11571200\"]\n  3 -> 11 [size =\"11571200\"]\n  3 -> 12 [size =\"11571200\"]\n  3 -> 14 [size =\"11571200\"]\n  3 -> 15 [size =\"11571200\"]\n  4 [size=\"40857600\", alpha=\"0.04\", expect_size=\"16343040\"] \n  4 -> 7 [size =\"16343040\"]\n  4 -> 13 [size =\"16343040\"]\n  4 -> 16 [size =\"16343040\"]\n  5 [size=\"35630080\", alpha=\"0.06\", expect_size=\"14252032\"] \n  5 -> 7 [size =\"14252032\"]\n  5 -> 9 [size =\"14252032\"]\n  5 -> 13 [size =\"14252032\"]\n  5 -> 15 [size =\"14252032\"]\n  5 -> 16 [size =\"14252032\"]\n  6 [size=\"69542400\", alpha=\"0.14\", expect_size=\"27816960\"] \n  6 -> 9 [size =\"27816960\"]\n  6 -> 12 [size =\"27816960\"]\n  6 -> 16 [size =\"27816960\"]\n  7 [size=\"71608320\", alpha=\"0.13\", expect_size=\"28643328\"] \n  7 -> 19 [size =\"28643328\"]\n  8 [size=\"107758080\", alpha=\"0.05\", expect_size=\"43103232\"] \n  8 -> 18 [size =\"43103232\"]\n  9 [size=\"108577280\", alpha=\"0.10\", expect_size=\"43430912\"] \n  9 -> 18 [size =\"43430912\"]\n  10 [size=\"61980160\", alpha=\"0.08\", expect_size=\"24792064\"] \n  10 -> 18 [size =\"24792064\"]\n  10 -> 20 [size =\"24792064\"]\n  11 [size=\"75855360\", alpha=\"0.07\", expect_size=\"30342144\"] \n  11 -> 18 [size =\"30342144\"]\n  12 [size=\"114344960\", alpha=\"0.08\", expect_size=\"45737984\"] \n  13 [size=\"99123200\", alpha=\"0.00\", expect_size=\"39649280\"] \n  13 -> 20 [size =\"39649280\"]\n  14 [size=\"41943040\", alpha=\"0.20\", expect_size=\"16777216\"] \n  15 [size=\"65943040\", alpha=\"0.14\", expect_size=\"26377216\"] \n  15 -> 19 [size =\"26377216\"]\n  16 [size=\"101089280\", alpha=\"0.05\", expect_size=\"40435712\"] \n  16 -> 18 [size =\"40435712\"]\n  17 [size=\"63444480\", alpha=\"0.05\", expect_size=\"25377792\"] \n  17 -> 20 [size =\"25377792\"]\n  18 [size=\"20436480\", alpha=\"0.15\", expect_size=\"8174592\"] \n  19 [size=\"51041280\", alpha=\"0.16\", expect_size=\"20416512\"] \n  20 [size=\"110384640\", alpha=\"0.02\", expect_size=\"44153856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118673920\", alpha=\"0.14\", expect_size=\"47469568\"] \n  1 -> 10 [size =\"47469568\"]\n  1 -> 13 [size =\"47469568\"]\n  2 [size=\"13125120\", alpha=\"0.12\", expect_size=\"5250048\"] \n  2 -> 11 [size =\"5250048\"]\n  2 -> 15 [size =\"5250048\"]\n  2 -> 16 [size =\"5250048\"]\n  3 [size=\"69248000\", alpha=\"0.13\", expect_size=\"27699200\"] \n  3 -> 10 [size =\"27699200\"]\n  3 -> 12 [size =\"27699200\"]\n  3 -> 13 [size =\"27699200\"]\n  3 -> 15 [size =\"27699200\"]\n  3 -> 16 [size =\"27699200\"]\n  4 [size=\"112688640\", alpha=\"0.13\", expect_size=\"45075456\"] \n  4 -> 15 [size =\"45075456\"]\n  4 -> 16 [size =\"45075456\"]\n  5 [size=\"76083200\", alpha=\"0.17\", expect_size=\"30433280\"] \n  5 -> 10 [size =\"30433280\"]\n  5 -> 14 [size =\"30433280\"]\n  5 -> 15 [size =\"30433280\"]\n  6 [size=\"43379200\", alpha=\"0.09\", expect_size=\"17351680\"] \n  6 -> 10 [size =\"17351680\"]\n  6 -> 13 [size =\"17351680\"]\n  7 [size=\"38963200\", alpha=\"0.02\", expect_size=\"15585280\"] \n  8 [size=\"99010560\", alpha=\"0.12\", expect_size=\"39604224\"] \n  8 -> 10 [size =\"39604224\"]\n  8 -> 11 [size =\"39604224\"]\n  8 -> 14 [size =\"39604224\"]\n  8 -> 15 [size =\"39604224\"]\n  8 -> 17 [size =\"39604224\"]\n  9 [size=\"24901120\", alpha=\"0.05\", expect_size=\"9960448\"] \n  9 -> 12 [size =\"9960448\"]\n  10 [size=\"58920960\", alpha=\"0.17\", expect_size=\"23568384\"] \n  10 -> 20 [size =\"23568384\"]\n  11 [size=\"38814720\", alpha=\"0.10\", expect_size=\"15525888\"] \n  11 -> 19 [size =\"15525888\"]\n  11 -> 20 [size =\"15525888\"]\n  12 [size=\"122693120\", alpha=\"0.05\", expect_size=\"49077248\"] \n  12 -> 19 [size =\"49077248\"]\n  13 [size=\"74872320\", alpha=\"0.18\", expect_size=\"29948928\"] \n  13 -> 19 [size =\"29948928\"]\n  13 -> 20 [size =\"29948928\"]\n  14 [size=\"35330560\", alpha=\"0.01\", expect_size=\"14132224\"] \n  14 -> 20 [size =\"14132224\"]\n  15 [size=\"114608640\", alpha=\"0.10\", expect_size=\"45843456\"] \n  16 [size=\"97802240\", alpha=\"0.04\", expect_size=\"39120896\"] \n  17 [size=\"35660800\", alpha=\"0.11\", expect_size=\"14264320\"] \n  17 -> 18 [size =\"14264320\"]\n  17 -> 20 [size =\"14264320\"]\n  18 [size=\"50204160\", alpha=\"0.09\", expect_size=\"20081664\"] \n  19 [size=\"121272320\", alpha=\"0.18\", expect_size=\"48508928\"] \n  20 [size=\"34339840\", alpha=\"0.00\", expect_size=\"13735936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29839360\", alpha=\"0.13\", expect_size=\"11935744\"] \n  1 -> 3 [size =\"11935744\"]\n  1 -> 4 [size =\"11935744\"]\n  2 [size=\"65866240\", alpha=\"0.18\", expect_size=\"26346496\"] \n  2 -> 3 [size =\"26346496\"]\n  2 -> 4 [size =\"26346496\"]\n  3 [size=\"29173760\", alpha=\"0.12\", expect_size=\"11669504\"] \n  4 [size=\"109800960\", alpha=\"0.07\", expect_size=\"43920384\"] \n  4 -> 5 [size =\"43920384\"]\n  5 [size=\"34127360\", alpha=\"0.00\", expect_size=\"13650944\"] \n  5 -> 6 [size =\"13650944\"]\n  5 -> 7 [size =\"13650944\"]\n  6 [size=\"69772800\", alpha=\"0.18\", expect_size=\"27909120\"] \n  6 -> 8 [size =\"27909120\"]\n  6 -> 9 [size =\"27909120\"]\n  7 [size=\"84853760\", alpha=\"0.16\", expect_size=\"33941504\"] \n  7 -> 8 [size =\"33941504\"]\n  7 -> 9 [size =\"33941504\"]\n  8 [size=\"17976320\", alpha=\"0.07\", expect_size=\"7190528\"] \n  8 -> 10 [size =\"7190528\"]\n  9 [size=\"94745600\", alpha=\"0.03\", expect_size=\"37898240\"] \n  9 -> 11 [size =\"37898240\"]\n  10 [size=\"118755840\", alpha=\"0.16\", expect_size=\"47502336\"] \n  10 -> 12 [size =\"47502336\"]\n  10 -> 13 [size =\"47502336\"]\n  11 [size=\"117150720\", alpha=\"0.02\", expect_size=\"46860288\"] \n  11 -> 12 [size =\"46860288\"]\n  12 [size=\"76208640\", alpha=\"0.08\", expect_size=\"30483456\"] \n  12 -> 14 [size =\"30483456\"]\n  12 -> 15 [size =\"30483456\"]\n  13 [size=\"62479360\", alpha=\"0.19\", expect_size=\"24991744\"] \n  13 -> 15 [size =\"24991744\"]\n  14 [size=\"17103360\", alpha=\"0.13\", expect_size=\"6841344\"] \n  15 [size=\"59896320\", alpha=\"0.11\", expect_size=\"23958528\"] \n  15 -> 16 [size =\"23958528\"]\n  16 [size=\"62136320\", alpha=\"0.12\", expect_size=\"24854528\"] \n  16 -> 17 [size =\"24854528\"]\n  17 [size=\"48862720\", alpha=\"0.13\", expect_size=\"19545088\"] \n  17 -> 18 [size =\"19545088\"]\n  17 -> 19 [size =\"19545088\"]\n  18 [size=\"22499840\", alpha=\"0.04\", expect_size=\"8999936\"] \n  18 -> 20 [size =\"8999936\"]\n  19 [size=\"61209600\", alpha=\"0.09\", expect_size=\"24483840\"] \n  19 -> 20 [size =\"24483840\"]\n  20 [size=\"78039040\", alpha=\"0.17\", expect_size=\"31215616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89710592\", alpha=\"0.04\", expect_size=\"44855296\"] \n  1 -> 3 [size =\"44855296\"]\n  2 [size=\"32370688\", alpha=\"0.17\", expect_size=\"16185344\"] \n  2 -> 3 [size =\"16185344\"]\n  3 [size=\"81410048\", alpha=\"0.20\", expect_size=\"40705024\"] \n  3 -> 4 [size =\"40705024\"]\n  4 [size=\"94455808\", alpha=\"0.03\", expect_size=\"47227904\"] \n  4 -> 5 [size =\"47227904\"]\n  5 [size=\"66527232\", alpha=\"0.17\", expect_size=\"33263616\"] \n  5 -> 6 [size =\"33263616\"]\n  6 [size=\"56547328\", alpha=\"0.20\", expect_size=\"28273664\"] \n  6 -> 7 [size =\"28273664\"]\n  7 [size=\"89253888\", alpha=\"0.07\", expect_size=\"44626944\"] \n  7 -> 8 [size =\"44626944\"]\n  7 -> 9 [size =\"44626944\"]\n  8 [size=\"25053184\", alpha=\"0.11\", expect_size=\"12526592\"] \n  8 -> 10 [size =\"12526592\"]\n  9 [size=\"84275200\", alpha=\"0.15\", expect_size=\"42137600\"] \n  9 -> 10 [size =\"42137600\"]\n  10 [size=\"35282944\", alpha=\"0.14\", expect_size=\"17641472\"] \n  10 -> 11 [size =\"17641472\"]\n  10 -> 12 [size =\"17641472\"]\n  11 [size=\"48306176\", alpha=\"0.01\", expect_size=\"24153088\"] \n  12 [size=\"66084864\", alpha=\"0.12\", expect_size=\"33042432\"] \n  12 -> 13 [size =\"33042432\"]\n  13 [size=\"51591168\", alpha=\"0.09\", expect_size=\"25795584\"] \n  13 -> 14 [size =\"25795584\"]\n  14 [size=\"50882560\", alpha=\"0.05\", expect_size=\"25441280\"] \n  14 -> 15 [size =\"25441280\"]\n  15 [size=\"66693120\", alpha=\"0.13\", expect_size=\"33346560\"] \n  15 -> 16 [size =\"33346560\"]\n  15 -> 17 [size =\"33346560\"]\n  16 [size=\"52686848\", alpha=\"0.11\", expect_size=\"26343424\"] \n  16 -> 18 [size =\"26343424\"]\n  16 -> 19 [size =\"26343424\"]\n  17 [size=\"51173376\", alpha=\"0.19\", expect_size=\"25586688\"] \n  18 [size=\"83505152\", alpha=\"0.03\", expect_size=\"41752576\"] \n  18 -> 20 [size =\"41752576\"]\n  19 [size=\"40863744\", alpha=\"0.15\", expect_size=\"20431872\"] \n  19 -> 20 [size =\"20431872\"]\n  20 [size=\"16969728\", alpha=\"0.05\", expect_size=\"8484864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68526080\", alpha=\"0.03\", expect_size=\"34263040\"] \n  1 -> 6 [size =\"34263040\"]\n  1 -> 7 [size =\"34263040\"]\n  2 [size=\"88643584\", alpha=\"0.16\", expect_size=\"44321792\"] \n  2 -> 5 [size =\"44321792\"]\n  3 [size=\"92016640\", alpha=\"0.12\", expect_size=\"46008320\"] \n  3 -> 4 [size =\"46008320\"]\n  4 [size=\"70717440\", alpha=\"0.00\", expect_size=\"35358720\"] \n  4 -> 9 [size =\"35358720\"]\n  4 -> 10 [size =\"35358720\"]\n  5 [size=\"76441600\", alpha=\"0.04\", expect_size=\"38220800\"] \n  5 -> 10 [size =\"38220800\"]\n  6 [size=\"36337664\", alpha=\"0.07\", expect_size=\"18168832\"] \n  7 [size=\"61384704\", alpha=\"0.14\", expect_size=\"30692352\"] \n  7 -> 8 [size =\"30692352\"]\n  8 [size=\"64593920\", alpha=\"0.08\", expect_size=\"32296960\"] \n  8 -> 11 [size =\"32296960\"]\n  9 [size=\"17152000\", alpha=\"0.02\", expect_size=\"8576000\"] \n  9 -> 11 [size =\"8576000\"]\n  9 -> 13 [size =\"8576000\"]\n  10 [size=\"51142656\", alpha=\"0.13\", expect_size=\"25571328\"] \n  10 -> 12 [size =\"25571328\"]\n  10 -> 13 [size =\"25571328\"]\n  10 -> 14 [size =\"25571328\"]\n  11 [size=\"44003328\", alpha=\"0.07\", expect_size=\"22001664\"] \n  11 -> 18 [size =\"22001664\"]\n  12 [size=\"58695680\", alpha=\"0.02\", expect_size=\"29347840\"] \n  12 -> 15 [size =\"29347840\"]\n  12 -> 17 [size =\"29347840\"]\n  13 [size=\"39000064\", alpha=\"0.06\", expect_size=\"19500032\"] \n  13 -> 15 [size =\"19500032\"]\n  13 -> 16 [size =\"19500032\"]\n  14 [size=\"95363072\", alpha=\"0.01\", expect_size=\"47681536\"] \n  14 -> 17 [size =\"47681536\"]\n  15 [size=\"96428032\", alpha=\"0.18\", expect_size=\"48214016\"] \n  15 -> 19 [size =\"48214016\"]\n  15 -> 20 [size =\"48214016\"]\n  16 [size=\"21897216\", alpha=\"0.05\", expect_size=\"10948608\"] \n  16 -> 19 [size =\"10948608\"]\n  16 -> 20 [size =\"10948608\"]\n  17 [size=\"54986752\", alpha=\"0.00\", expect_size=\"27493376\"] \n  18 [size=\"28508160\", alpha=\"0.17\", expect_size=\"14254080\"] \n  19 [size=\"68577280\", alpha=\"0.00\", expect_size=\"34288640\"] \n  20 [size=\"80195584\", alpha=\"0.15\", expect_size=\"40097792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103690240\", alpha=\"0.17\", expect_size=\"41476096\"] \n  2 [size=\"23298560\", alpha=\"0.01\", expect_size=\"9319424\"] \n  2 -> 20 [size =\"9319424\"]\n  3 [size=\"80524800\", alpha=\"0.15\", expect_size=\"32209920\"] \n  4 [size=\"45662720\", alpha=\"0.17\", expect_size=\"18265088\"] \n  4 -> 20 [size =\"18265088\"]\n  5 [size=\"21437440\", alpha=\"0.06\", expect_size=\"8574976\"] \n  6 [size=\"107722240\", alpha=\"0.17\", expect_size=\"43088896\"] \n  7 [size=\"63188480\", alpha=\"0.09\", expect_size=\"25275392\"] \n  8 [size=\"126382080\", alpha=\"0.13\", expect_size=\"50552832\"] \n  8 -> 20 [size =\"50552832\"]\n  9 [size=\"112647680\", alpha=\"0.03\", expect_size=\"45059072\"] \n  10 [size=\"55539200\", alpha=\"0.20\", expect_size=\"22215680\"] \n  11 [size=\"106967040\", alpha=\"0.01\", expect_size=\"42786816\"] \n  12 [size=\"86868480\", alpha=\"0.15\", expect_size=\"34747392\"] \n  12 -> 20 [size =\"34747392\"]\n  13 [size=\"94451200\", alpha=\"0.17\", expect_size=\"37780480\"] \n  13 -> 20 [size =\"37780480\"]\n  14 [size=\"67627520\", alpha=\"0.08\", expect_size=\"27051008\"] \n  14 -> 20 [size =\"27051008\"]\n  15 [size=\"51829760\", alpha=\"0.18\", expect_size=\"20731904\"] \n  15 -> 20 [size =\"20731904\"]\n  16 [size=\"86476800\", alpha=\"0.14\", expect_size=\"34590720\"] \n  16 -> 20 [size =\"34590720\"]\n  17 [size=\"66849280\", alpha=\"0.08\", expect_size=\"26739712\"] \n  17 -> 20 [size =\"26739712\"]\n  18 [size=\"122411520\", alpha=\"0.12\", expect_size=\"48964608\"] \n  18 -> 20 [size =\"48964608\"]\n  19 [size=\"83430400\", alpha=\"0.06\", expect_size=\"33372160\"] \n  19 -> 20 [size =\"33372160\"]\n  20 [size=\"98662400\", alpha=\"0.04\", expect_size=\"39464960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69621760\", alpha=\"0.18\", expect_size=\"27848704\"] \n  1 -> 10 [size =\"27848704\"]\n  1 -> 12 [size =\"27848704\"]\n  2 [size=\"114805760\", alpha=\"0.18\", expect_size=\"45922304\"] \n  2 -> 9 [size =\"45922304\"]\n  2 -> 11 [size =\"45922304\"]\n  2 -> 13 [size =\"45922304\"]\n  2 -> 14 [size =\"45922304\"]\n  3 [size=\"82452480\", alpha=\"0.15\", expect_size=\"32980992\"] \n  3 -> 10 [size =\"32980992\"]\n  4 [size=\"127889920\", alpha=\"0.10\", expect_size=\"51155968\"] \n  4 -> 13 [size =\"51155968\"]\n  5 [size=\"45189120\", alpha=\"0.08\", expect_size=\"18075648\"] \n  5 -> 8 [size =\"18075648\"]\n  6 [size=\"123394560\", alpha=\"0.17\", expect_size=\"49357824\"] \n  6 -> 8 [size =\"49357824\"]\n  6 -> 10 [size =\"49357824\"]\n  6 -> 11 [size =\"49357824\"]\n  7 [size=\"73162240\", alpha=\"0.04\", expect_size=\"29264896\"] \n  7 -> 8 [size =\"29264896\"]\n  7 -> 10 [size =\"29264896\"]\n  7 -> 11 [size =\"29264896\"]\n  7 -> 12 [size =\"29264896\"]\n  7 -> 14 [size =\"29264896\"]\n  8 [size=\"25233920\", alpha=\"0.12\", expect_size=\"10093568\"] \n  8 -> 15 [size =\"10093568\"]\n  8 -> 18 [size =\"10093568\"]\n  9 [size=\"52019200\", alpha=\"0.15\", expect_size=\"20807680\"] \n  9 -> 15 [size =\"20807680\"]\n  9 -> 17 [size =\"20807680\"]\n  9 -> 20 [size =\"20807680\"]\n  10 [size=\"85268480\", alpha=\"0.03\", expect_size=\"34107392\"] \n  10 -> 16 [size =\"34107392\"]\n  10 -> 20 [size =\"34107392\"]\n  11 [size=\"36154880\", alpha=\"0.12\", expect_size=\"14461952\"] \n  11 -> 16 [size =\"14461952\"]\n  12 [size=\"25702400\", alpha=\"0.09\", expect_size=\"10280960\"] \n  12 -> 15 [size =\"10280960\"]\n  12 -> 19 [size =\"10280960\"]\n  12 -> 20 [size =\"10280960\"]\n  13 [size=\"14474240\", alpha=\"0.15\", expect_size=\"5789696\"] \n  13 -> 15 [size =\"5789696\"]\n  13 -> 16 [size =\"5789696\"]\n  13 -> 19 [size =\"5789696\"]\n  13 -> 20 [size =\"5789696\"]\n  14 [size=\"102730240\", alpha=\"0.19\", expect_size=\"41092096\"] \n  14 -> 16 [size =\"41092096\"]\n  15 [size=\"46289920\", alpha=\"0.07\", expect_size=\"18515968\"] \n  16 [size=\"92252160\", alpha=\"0.13\", expect_size=\"36900864\"] \n  17 [size=\"75906560\", alpha=\"0.17\", expect_size=\"30362624\"] \n  18 [size=\"98396160\", alpha=\"0.07\", expect_size=\"39358464\"] \n  19 [size=\"52052480\", alpha=\"0.01\", expect_size=\"20820992\"] \n  20 [size=\"22410240\", alpha=\"0.15\", expect_size=\"8964096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128696320\", alpha=\"0.14\", expect_size=\"38608896\"] \n  1 -> 2 [size =\"38608896\"]\n  2 [size=\"21684907\", alpha=\"0.19\", expect_size=\"6505472\"] \n  2 -> 3 [size =\"6505472\"]\n  3 [size=\"38328320\", alpha=\"0.03\", expect_size=\"11498496\"] \n  3 -> 4 [size =\"11498496\"]\n  4 [size=\"141707947\", alpha=\"0.09\", expect_size=\"42512384\"] \n  4 -> 5 [size =\"42512384\"]\n  5 [size=\"137891840\", alpha=\"0.10\", expect_size=\"41367552\"] \n  5 -> 6 [size =\"41367552\"]\n  6 [size=\"74840747\", alpha=\"0.04\", expect_size=\"22452224\"] \n  6 -> 7 [size =\"22452224\"]\n  7 [size=\"122637653\", alpha=\"0.04\", expect_size=\"36791296\"] \n  7 -> 8 [size =\"36791296\"]\n  8 [size=\"23562240\", alpha=\"0.13\", expect_size=\"7068672\"] \n  8 -> 9 [size =\"7068672\"]\n  9 [size=\"90839040\", alpha=\"0.14\", expect_size=\"27251712\"] \n  9 -> 10 [size =\"27251712\"]\n  10 [size=\"56586240\", alpha=\"0.02\", expect_size=\"16975872\"] \n  10 -> 11 [size =\"16975872\"]\n  11 [size=\"72809813\", alpha=\"0.13\", expect_size=\"21842944\"] \n  11 -> 12 [size =\"21842944\"]\n  12 [size=\"23961600\", alpha=\"0.17\", expect_size=\"7188480\"] \n  12 -> 13 [size =\"7188480\"]\n  13 [size=\"169782613\", alpha=\"0.03\", expect_size=\"50934784\"] \n  13 -> 14 [size =\"50934784\"]\n  14 [size=\"32839680\", alpha=\"0.17\", expect_size=\"9851904\"] \n  14 -> 15 [size =\"9851904\"]\n  15 [size=\"101730987\", alpha=\"0.02\", expect_size=\"30519296\"] \n  15 -> 16 [size =\"30519296\"]\n  16 [size=\"25333760\", alpha=\"0.08\", expect_size=\"7600128\"] \n  16 -> 17 [size =\"7600128\"]\n  17 [size=\"53261653\", alpha=\"0.12\", expect_size=\"15978496\"] \n  17 -> 18 [size =\"15978496\"]\n  18 [size=\"82213547\", alpha=\"0.17\", expect_size=\"24664064\"] \n  18 -> 19 [size =\"24664064\"]\n  19 [size=\"28422827\", alpha=\"0.11\", expect_size=\"8526848\"] \n  19 -> 20 [size =\"8526848\"]\n  20 [size=\"141878613\", alpha=\"0.09\", expect_size=\"42563584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39833600\", alpha=\"0.14\", expect_size=\"11950080\"] \n  1 -> 7 [size =\"11950080\"]\n  1 -> 8 [size =\"11950080\"]\n  1 -> 9 [size =\"11950080\"]\n  1 -> 10 [size =\"11950080\"]\n  1 -> 11 [size =\"11950080\"]\n  1 -> 12 [size =\"11950080\"]\n  2 [size=\"155054080\", alpha=\"0.12\", expect_size=\"46516224\"] \n  2 -> 7 [size =\"46516224\"]\n  2 -> 9 [size =\"46516224\"]\n  2 -> 9 [size =\"46516224\"]\n  2 -> 12 [size =\"46516224\"]\n  3 [size=\"87152640\", alpha=\"0.06\", expect_size=\"26145792\"] \n  3 -> 8 [size =\"26145792\"]\n  3 -> 9 [size =\"26145792\"]\n  3 -> 10 [size =\"26145792\"]\n  3 -> 11 [size =\"26145792\"]\n  4 [size=\"64341333\", alpha=\"0.16\", expect_size=\"19302400\"] \n  4 -> 7 [size =\"19302400\"]\n  4 -> 10 [size =\"19302400\"]\n  4 -> 11 [size =\"19302400\"]\n  4 -> 11 [size =\"19302400\"]\n  4 -> 12 [size =\"19302400\"]\n  5 [size=\"27333973\", alpha=\"0.05\", expect_size=\"8200192\"] \n  5 -> 7 [size =\"8200192\"]\n  5 -> 9 [size =\"8200192\"]\n  5 -> 11 [size =\"8200192\"]\n  5 -> 12 [size =\"8200192\"]\n  6 [size=\"56313173\", alpha=\"0.03\", expect_size=\"16893952\"] \n  6 -> 9 [size =\"16893952\"]\n  6 -> 10 [size =\"16893952\"]\n  6 -> 11 [size =\"16893952\"]\n  6 -> 12 [size =\"16893952\"]\n  7 [size=\"115305813\", alpha=\"0.17\", expect_size=\"34591744\"] \n  7 -> 13 [size =\"34591744\"]\n  7 -> 14 [size =\"34591744\"]\n  7 -> 16 [size =\"34591744\"]\n  8 [size=\"142892373\", alpha=\"0.14\", expect_size=\"42867712\"] \n  8 -> 13 [size =\"42867712\"]\n  8 -> 14 [size =\"42867712\"]\n  8 -> 17 [size =\"42867712\"]\n  9 [size=\"63839573\", alpha=\"0.00\", expect_size=\"19151872\"] \n  9 -> 13 [size =\"19151872\"]\n  9 -> 14 [size =\"19151872\"]\n  9 -> 15 [size =\"19151872\"]\n  10 [size=\"114196480\", alpha=\"0.04\", expect_size=\"34258944\"] \n  10 -> 13 [size =\"34258944\"]\n  10 -> 17 [size =\"34258944\"]\n  11 [size=\"164597760\", alpha=\"0.06\", expect_size=\"49379328\"] \n  12 [size=\"116538027\", alpha=\"0.17\", expect_size=\"34961408\"] \n  12 -> 14 [size =\"34961408\"]\n  13 [size=\"54254933\", alpha=\"0.11\", expect_size=\"16276480\"] \n  13 -> 19 [size =\"16276480\"]\n  13 -> 20 [size =\"16276480\"]\n  14 [size=\"99689813\", alpha=\"0.09\", expect_size=\"29906944\"] \n  14 -> 20 [size =\"29906944\"]\n  15 [size=\"66304000\", alpha=\"0.10\", expect_size=\"19891200\"] \n  15 -> 18 [size =\"19891200\"]\n  15 -> 20 [size =\"19891200\"]\n  16 [size=\"106277547\", alpha=\"0.15\", expect_size=\"31883264\"] \n  16 -> 19 [size =\"31883264\"]\n  16 -> 20 [size =\"31883264\"]\n  17 [size=\"131563520\", alpha=\"0.08\", expect_size=\"39469056\"] \n  17 -> 19 [size =\"39469056\"]\n  17 -> 20 [size =\"39469056\"]\n  18 [size=\"109390507\", alpha=\"0.20\", expect_size=\"32817152\"] \n  19 [size=\"58572800\", alpha=\"0.00\", expect_size=\"17571840\"] \n  20 [size=\"59313493\", alpha=\"0.08\", expect_size=\"17794048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78167040\", alpha=\"0.13\", expect_size=\"31266816\"] \n  1 -> 17 [size =\"31266816\"]\n  1 -> 17 [size =\"31266816\"]\n  2 [size=\"126612480\", alpha=\"0.08\", expect_size=\"50644992\"] \n  2 -> 16 [size =\"50644992\"]\n  3 [size=\"23229440\", alpha=\"0.04\", expect_size=\"9291776\"] \n  3 -> 17 [size =\"9291776\"]\n  3 -> 19 [size =\"9291776\"]\n  4 [size=\"20047360\", alpha=\"0.18\", expect_size=\"8018944\"] \n  4 -> 16 [size =\"8018944\"]\n  4 -> 18 [size =\"8018944\"]\n  5 [size=\"111047680\", alpha=\"0.05\", expect_size=\"44419072\"] \n  5 -> 20 [size =\"44419072\"]\n  6 [size=\"65064960\", alpha=\"0.12\", expect_size=\"26025984\"] \n  6 -> 16 [size =\"26025984\"]\n  6 -> 17 [size =\"26025984\"]\n  6 -> 20 [size =\"26025984\"]\n  7 [size=\"57351680\", alpha=\"0.04\", expect_size=\"22940672\"] \n  7 -> 16 [size =\"22940672\"]\n  8 [size=\"41807360\", alpha=\"0.04\", expect_size=\"16722944\"] \n  8 -> 19 [size =\"16722944\"]\n  9 [size=\"94522880\", alpha=\"0.02\", expect_size=\"37809152\"] \n  9 -> 16 [size =\"37809152\"]\n  9 -> 19 [size =\"37809152\"]\n  10 [size=\"25390080\", alpha=\"0.14\", expect_size=\"10156032\"] \n  10 -> 16 [size =\"10156032\"]\n  10 -> 19 [size =\"10156032\"]\n  11 [size=\"14092800\", alpha=\"0.07\", expect_size=\"5637120\"] \n  11 -> 16 [size =\"5637120\"]\n  11 -> 19 [size =\"5637120\"]\n  12 [size=\"89602560\", alpha=\"0.01\", expect_size=\"35841024\"] \n  12 -> 17 [size =\"35841024\"]\n  12 -> 19 [size =\"35841024\"]\n  13 [size=\"19466240\", alpha=\"0.05\", expect_size=\"7786496\"] \n  13 -> 16 [size =\"7786496\"]\n  13 -> 17 [size =\"7786496\"]\n  14 [size=\"44579840\", alpha=\"0.09\", expect_size=\"17831936\"] \n  14 -> 16 [size =\"17831936\"]\n  14 -> 17 [size =\"17831936\"]\n  15 [size=\"30571520\", alpha=\"0.18\", expect_size=\"12228608\"] \n  15 -> 16 [size =\"12228608\"]\n  15 -> 17 [size =\"12228608\"]\n  15 -> 18 [size =\"12228608\"]\n  16 [size=\"59978240\", alpha=\"0.19\", expect_size=\"23991296\"] \n  17 [size=\"15050240\", alpha=\"0.09\", expect_size=\"6020096\"] \n  18 [size=\"36879360\", alpha=\"0.13\", expect_size=\"14751744\"] \n  19 [size=\"63001600\", alpha=\"0.09\", expect_size=\"25200640\"] \n  20 [size=\"75023360\", alpha=\"0.20\", expect_size=\"30009344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39616000\", alpha=\"0.14\", expect_size=\"15846400\"] \n  1 -> 6 [size =\"15846400\"]\n  1 -> 7 [size =\"15846400\"]\n  1 -> 8 [size =\"15846400\"]\n  2 [size=\"95726080\", alpha=\"0.16\", expect_size=\"38290432\"] \n  2 -> 8 [size =\"38290432\"]\n  3 [size=\"84157440\", alpha=\"0.07\", expect_size=\"33662976\"] \n  3 -> 7 [size =\"33662976\"]\n  3 -> 8 [size =\"33662976\"]\n  4 [size=\"14307840\", alpha=\"0.08\", expect_size=\"5723136\"] \n  5 [size=\"26408960\", alpha=\"0.05\", expect_size=\"10563584\"] \n  5 -> 7 [size =\"10563584\"]\n  6 [size=\"107202560\", alpha=\"0.15\", expect_size=\"42881024\"] \n  6 -> 9 [size =\"42881024\"]\n  6 -> 10 [size =\"42881024\"]\n  6 -> 12 [size =\"42881024\"]\n  6 -> 13 [size =\"42881024\"]\n  7 [size=\"128094720\", alpha=\"0.02\", expect_size=\"51237888\"] \n  7 -> 9 [size =\"51237888\"]\n  7 -> 10 [size =\"51237888\"]\n  7 -> 11 [size =\"51237888\"]\n  7 -> 12 [size =\"51237888\"]\n  8 [size=\"78620160\", alpha=\"0.04\", expect_size=\"31448064\"] \n  8 -> 9 [size =\"31448064\"]\n  8 -> 10 [size =\"31448064\"]\n  8 -> 11 [size =\"31448064\"]\n  8 -> 12 [size =\"31448064\"]\n  8 -> 13 [size =\"31448064\"]\n  9 [size=\"51840000\", alpha=\"0.10\", expect_size=\"20736000\"] \n  10 [size=\"32322560\", alpha=\"0.13\", expect_size=\"12929024\"] \n  10 -> 14 [size =\"12929024\"]\n  10 -> 15 [size =\"12929024\"]\n  11 [size=\"104002560\", alpha=\"0.12\", expect_size=\"41601024\"] \n  12 [size=\"69767680\", alpha=\"0.12\", expect_size=\"27907072\"] \n  13 [size=\"49113600\", alpha=\"0.06\", expect_size=\"19645440\"] \n  14 [size=\"91919360\", alpha=\"0.12\", expect_size=\"36767744\"] \n  14 -> 16 [size =\"36767744\"]\n  14 -> 17 [size =\"36767744\"]\n  15 [size=\"22515200\", alpha=\"0.10\", expect_size=\"9006080\"] \n  15 -> 16 [size =\"9006080\"]\n  15 -> 17 [size =\"9006080\"]\n  16 [size=\"50526720\", alpha=\"0.11\", expect_size=\"20210688\"] \n  16 -> 19 [size =\"20210688\"]\n  16 -> 20 [size =\"20210688\"]\n  17 [size=\"20249600\", alpha=\"0.04\", expect_size=\"8099840\"] \n  17 -> 18 [size =\"8099840\"]\n  17 -> 19 [size =\"8099840\"]\n  17 -> 20 [size =\"8099840\"]\n  18 [size=\"31395840\", alpha=\"0.04\", expect_size=\"12558336\"] \n  19 [size=\"56632320\", alpha=\"0.19\", expect_size=\"22652928\"] \n  20 [size=\"113111040\", alpha=\"0.16\", expect_size=\"45244416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164498773\", alpha=\"0.11\", expect_size=\"49349632\"] \n  1 -> 16 [size =\"49349632\"]\n  1 -> 18 [size =\"49349632\"]\n  1 -> 19 [size =\"49349632\"]\n  2 [size=\"24292693\", alpha=\"0.01\", expect_size=\"7287808\"] \n  3 [size=\"66839893\", alpha=\"0.11\", expect_size=\"20051968\"] \n  3 -> 17 [size =\"20051968\"]\n  3 -> 18 [size =\"20051968\"]\n  3 -> 19 [size =\"20051968\"]\n  4 [size=\"39594667\", alpha=\"0.15\", expect_size=\"11878400\"] \n  4 -> 15 [size =\"11878400\"]\n  4 -> 17 [size =\"11878400\"]\n  4 -> 18 [size =\"11878400\"]\n  4 -> 19 [size =\"11878400\"]\n  5 [size=\"149067093\", alpha=\"0.04\", expect_size=\"44720128\"] \n  5 -> 18 [size =\"44720128\"]\n  6 [size=\"84981760\", alpha=\"0.14\", expect_size=\"25494528\"] \n  7 [size=\"75564373\", alpha=\"0.19\", expect_size=\"22669312\"] \n  7 -> 16 [size =\"22669312\"]\n  7 -> 17 [size =\"22669312\"]\n  8 [size=\"91480747\", alpha=\"0.12\", expect_size=\"27444224\"] \n  9 [size=\"95539200\", alpha=\"0.12\", expect_size=\"28661760\"] \n  9 -> 17 [size =\"28661760\"]\n  9 -> 19 [size =\"28661760\"]\n  10 [size=\"67928747\", alpha=\"0.03\", expect_size=\"20378624\"] \n  10 -> 15 [size =\"20378624\"]\n  10 -> 17 [size =\"20378624\"]\n  10 -> 18 [size =\"20378624\"]\n  10 -> 20 [size =\"20378624\"]\n  11 [size=\"160293547\", alpha=\"0.17\", expect_size=\"48088064\"] \n  11 -> 18 [size =\"48088064\"]\n  12 [size=\"88941227\", alpha=\"0.06\", expect_size=\"26682368\"] \n  12 -> 15 [size =\"26682368\"]\n  12 -> 16 [size =\"26682368\"]\n  13 [size=\"93269333\", alpha=\"0.03\", expect_size=\"27980800\"] \n  14 [size=\"18616320\", alpha=\"0.11\", expect_size=\"5584896\"] \n  15 [size=\"138246827\", alpha=\"0.20\", expect_size=\"41474048\"] \n  16 [size=\"168639147\", alpha=\"0.09\", expect_size=\"50591744\"] \n  17 [size=\"121272320\", alpha=\"0.17\", expect_size=\"36381696\"] \n  18 [size=\"112117760\", alpha=\"0.15\", expect_size=\"33635328\"] \n  19 [size=\"49902933\", alpha=\"0.14\", expect_size=\"14970880\"] \n  20 [size=\"147302400\", alpha=\"0.14\", expect_size=\"44190720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84631040\", alpha=\"0.13\", expect_size=\"33852416\"] \n  1 -> 4 [size =\"33852416\"]\n  1 -> 5 [size =\"33852416\"]\n  1 -> 6 [size =\"33852416\"]\n  2 [size=\"115745280\", alpha=\"0.02\", expect_size=\"46298112\"] \n  2 -> 3 [size =\"46298112\"]\n  2 -> 5 [size =\"46298112\"]\n  2 -> 6 [size =\"46298112\"]\n  3 [size=\"107929600\", alpha=\"0.16\", expect_size=\"43171840\"] \n  3 -> 8 [size =\"43171840\"]\n  4 [size=\"33966080\", alpha=\"0.00\", expect_size=\"13586432\"] \n  4 -> 7 [size =\"13586432\"]\n  4 -> 8 [size =\"13586432\"]\n  4 -> 9 [size =\"13586432\"]\n  5 [size=\"30405120\", alpha=\"0.16\", expect_size=\"12162048\"] \n  5 -> 7 [size =\"12162048\"]\n  6 [size=\"97789440\", alpha=\"0.04\", expect_size=\"39115776\"] \n  7 [size=\"106972160\", alpha=\"0.15\", expect_size=\"42788864\"] \n  8 [size=\"83980800\", alpha=\"0.04\", expect_size=\"33592320\"] \n  8 -> 10 [size =\"33592320\"]\n  8 -> 11 [size =\"33592320\"]\n  9 [size=\"99763200\", alpha=\"0.15\", expect_size=\"39905280\"] \n  10 [size=\"129423360\", alpha=\"0.08\", expect_size=\"51769344\"] \n  10 -> 12 [size =\"51769344\"]\n  10 -> 14 [size =\"51769344\"]\n  11 [size=\"113976320\", alpha=\"0.04\", expect_size=\"45590528\"] \n  11 -> 13 [size =\"45590528\"]\n  11 -> 15 [size =\"45590528\"]\n  12 [size=\"72394240\", alpha=\"0.16\", expect_size=\"28957696\"] \n  12 -> 16 [size =\"28957696\"]\n  12 -> 18 [size =\"28957696\"]\n  13 [size=\"85678080\", alpha=\"0.07\", expect_size=\"34271232\"] \n  13 -> 18 [size =\"34271232\"]\n  14 [size=\"60518400\", alpha=\"0.03\", expect_size=\"24207360\"] \n  14 -> 20 [size =\"24207360\"]\n  15 [size=\"62279680\", alpha=\"0.16\", expect_size=\"24911872\"] \n  15 -> 16 [size =\"24911872\"]\n  15 -> 17 [size =\"24911872\"]\n  15 -> 19 [size =\"24911872\"]\n  16 [size=\"39057920\", alpha=\"0.09\", expect_size=\"15623168\"] \n  17 [size=\"62213120\", alpha=\"0.09\", expect_size=\"24885248\"] \n  18 [size=\"33093120\", alpha=\"0.02\", expect_size=\"13237248\"] \n  19 [size=\"56798720\", alpha=\"0.19\", expect_size=\"22719488\"] \n  20 [size=\"29107200\", alpha=\"0.19\", expect_size=\"11642880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35364864\", alpha=\"0.03\", expect_size=\"17682432\"] \n  1 -> 2 [size =\"17682432\"]\n  2 [size=\"61087744\", alpha=\"0.20\", expect_size=\"30543872\"] \n  2 -> 3 [size =\"30543872\"]\n  2 -> 4 [size =\"30543872\"]\n  3 [size=\"51959808\", alpha=\"0.01\", expect_size=\"25979904\"] \n  3 -> 5 [size =\"25979904\"]\n  4 [size=\"50946048\", alpha=\"0.08\", expect_size=\"25473024\"] \n  5 [size=\"25696256\", alpha=\"0.17\", expect_size=\"12848128\"] \n  5 -> 6 [size =\"12848128\"]\n  6 [size=\"40218624\", alpha=\"0.05\", expect_size=\"20109312\"] \n  6 -> 7 [size =\"20109312\"]\n  6 -> 8 [size =\"20109312\"]\n  7 [size=\"76826624\", alpha=\"0.10\", expect_size=\"38413312\"] \n  7 -> 9 [size =\"38413312\"]\n  7 -> 10 [size =\"38413312\"]\n  8 [size=\"78120960\", alpha=\"0.06\", expect_size=\"39060480\"] \n  9 [size=\"66959360\", alpha=\"0.17\", expect_size=\"33479680\"] \n  9 -> 11 [size =\"33479680\"]\n  9 -> 12 [size =\"33479680\"]\n  10 [size=\"75816960\", alpha=\"0.09\", expect_size=\"37908480\"] \n  11 [size=\"91478016\", alpha=\"0.01\", expect_size=\"45739008\"] \n  11 -> 13 [size =\"45739008\"]\n  12 [size=\"104265728\", alpha=\"0.01\", expect_size=\"52132864\"] \n  13 [size=\"102463488\", alpha=\"0.07\", expect_size=\"51231744\"] \n  13 -> 14 [size =\"51231744\"]\n  13 -> 15 [size =\"51231744\"]\n  14 [size=\"12736512\", alpha=\"0.02\", expect_size=\"6368256\"] \n  15 [size=\"52457472\", alpha=\"0.02\", expect_size=\"26228736\"] \n  15 -> 16 [size =\"26228736\"]\n  16 [size=\"37173248\", alpha=\"0.11\", expect_size=\"18586624\"] \n  16 -> 17 [size =\"18586624\"]\n  17 [size=\"60217344\", alpha=\"0.17\", expect_size=\"30108672\"] \n  17 -> 18 [size =\"30108672\"]\n  17 -> 19 [size =\"30108672\"]\n  18 [size=\"12908544\", alpha=\"0.19\", expect_size=\"6454272\"] \n  18 -> 20 [size =\"6454272\"]\n  19 [size=\"43223040\", alpha=\"0.06\", expect_size=\"21611520\"] \n  20 [size=\"29415424\", alpha=\"0.02\", expect_size=\"14707712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126896640\", alpha=\"0.18\", expect_size=\"50758656\"] \n  1 -> 13 [size =\"50758656\"]\n  1 -> 20 [size =\"50758656\"]\n  2 [size=\"102228480\", alpha=\"0.20\", expect_size=\"40891392\"] \n  2 -> 20 [size =\"40891392\"]\n  3 [size=\"57136640\", alpha=\"0.02\", expect_size=\"22854656\"] \n  3 -> 14 [size =\"22854656\"]\n  3 -> 15 [size =\"22854656\"]\n  3 -> 20 [size =\"22854656\"]\n  4 [size=\"44336640\", alpha=\"0.06\", expect_size=\"17734656\"] \n  4 -> 17 [size =\"17734656\"]\n  4 -> 19 [size =\"17734656\"]\n  5 [size=\"43599360\", alpha=\"0.10\", expect_size=\"17439744\"] \n  5 -> 14 [size =\"17439744\"]\n  5 -> 15 [size =\"17439744\"]\n  5 -> 17 [size =\"17439744\"]\n  5 -> 20 [size =\"17439744\"]\n  6 [size=\"22343680\", alpha=\"0.06\", expect_size=\"8937472\"] \n  6 -> 13 [size =\"8937472\"]\n  6 -> 15 [size =\"8937472\"]\n  6 -> 18 [size =\"8937472\"]\n  7 [size=\"24898560\", alpha=\"0.09\", expect_size=\"9959424\"] \n  7 -> 13 [size =\"9959424\"]\n  7 -> 20 [size =\"9959424\"]\n  8 [size=\"94417920\", alpha=\"0.18\", expect_size=\"37767168\"] \n  9 [size=\"25136640\", alpha=\"0.11\", expect_size=\"10054656\"] \n  10 [size=\"127232000\", alpha=\"0.13\", expect_size=\"50892800\"] \n  10 -> 15 [size =\"50892800\"]\n  10 -> 16 [size =\"50892800\"]\n  10 -> 17 [size =\"50892800\"]\n  10 -> 18 [size =\"50892800\"]\n  11 [size=\"93975040\", alpha=\"0.01\", expect_size=\"37590016\"] \n  11 -> 16 [size =\"37590016\"]\n  12 [size=\"80588800\", alpha=\"0.12\", expect_size=\"32235520\"] \n  12 -> 14 [size =\"32235520\"]\n  13 [size=\"77923840\", alpha=\"0.07\", expect_size=\"31169536\"] \n  14 [size=\"92016640\", alpha=\"0.15\", expect_size=\"36806656\"] \n  15 [size=\"124756480\", alpha=\"0.05\", expect_size=\"49902592\"] \n  16 [size=\"66762240\", alpha=\"0.14\", expect_size=\"26704896\"] \n  17 [size=\"104074240\", alpha=\"0.03\", expect_size=\"41629696\"] \n  18 [size=\"41441280\", alpha=\"0.07\", expect_size=\"16576512\"] \n  19 [size=\"29271040\", alpha=\"0.15\", expect_size=\"11708416\"] \n  20 [size=\"93468160\", alpha=\"0.19\", expect_size=\"37387264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59856213\", alpha=\"0.20\", expect_size=\"17956864\"] \n  1 -> 6 [size =\"17956864\"]\n  1 -> 7 [size =\"17956864\"]\n  2 [size=\"76376747\", alpha=\"0.12\", expect_size=\"22913024\"] \n  3 [size=\"128730453\", alpha=\"0.05\", expect_size=\"38619136\"] \n  3 -> 5 [size =\"38619136\"]\n  3 -> 7 [size =\"38619136\"]\n  4 [size=\"85019307\", alpha=\"0.12\", expect_size=\"25505792\"] \n  4 -> 6 [size =\"25505792\"]\n  5 [size=\"64662187\", alpha=\"0.15\", expect_size=\"19398656\"] \n  5 -> 8 [size =\"19398656\"]\n  5 -> 9 [size =\"19398656\"]\n  6 [size=\"23197013\", alpha=\"0.18\", expect_size=\"6959104\"] \n  6 -> 10 [size =\"6959104\"]\n  7 [size=\"43472213\", alpha=\"0.10\", expect_size=\"13041664\"] \n  7 -> 9 [size =\"13041664\"]\n  8 [size=\"137714347\", alpha=\"0.12\", expect_size=\"41314304\"] \n  8 -> 11 [size =\"41314304\"]\n  8 -> 13 [size =\"41314304\"]\n  9 [size=\"83496960\", alpha=\"0.12\", expect_size=\"25049088\"] \n  9 -> 12 [size =\"25049088\"]\n  10 [size=\"93764267\", alpha=\"0.07\", expect_size=\"28129280\"] \n  11 [size=\"123914240\", alpha=\"0.19\", expect_size=\"37174272\"] \n  11 -> 14 [size =\"37174272\"]\n  11 -> 16 [size =\"37174272\"]\n  12 [size=\"120439467\", alpha=\"0.11\", expect_size=\"36131840\"] \n  12 -> 15 [size =\"36131840\"]\n  13 [size=\"54558720\", alpha=\"0.09\", expect_size=\"16367616\"] \n  13 -> 16 [size =\"16367616\"]\n  13 -> 17 [size =\"16367616\"]\n  14 [size=\"91234987\", alpha=\"0.06\", expect_size=\"27370496\"] \n  14 -> 20 [size =\"27370496\"]\n  15 [size=\"27852800\", alpha=\"0.19\", expect_size=\"8355840\"] \n  15 -> 19 [size =\"8355840\"]\n  16 [size=\"143213227\", alpha=\"0.06\", expect_size=\"42963968\"] \n  17 [size=\"130416640\", alpha=\"0.13\", expect_size=\"39124992\"] \n  17 -> 18 [size =\"39124992\"]\n  18 [size=\"52841813\", alpha=\"0.08\", expect_size=\"15852544\"] \n  19 [size=\"143810560\", alpha=\"0.19\", expect_size=\"43143168\"] \n  20 [size=\"84077227\", alpha=\"0.11\", expect_size=\"25223168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121364480\", alpha=\"0.11\", expect_size=\"36409344\"] \n  1 -> 4 [size =\"36409344\"]\n  1 -> 5 [size =\"36409344\"]\n  1 -> 6 [size =\"36409344\"]\n  1 -> 7 [size =\"36409344\"]\n  2 [size=\"121460053\", alpha=\"0.10\", expect_size=\"36438016\"] \n  2 -> 3 [size =\"36438016\"]\n  3 [size=\"94436693\", alpha=\"0.07\", expect_size=\"28331008\"] \n  4 [size=\"55313067\", alpha=\"0.04\", expect_size=\"16593920\"] \n  4 -> 8 [size =\"16593920\"]\n  4 -> 9 [size =\"16593920\"]\n  5 [size=\"91504640\", alpha=\"0.13\", expect_size=\"27451392\"] \n  5 -> 8 [size =\"27451392\"]\n  6 [size=\"62883840\", alpha=\"0.13\", expect_size=\"18865152\"] \n  6 -> 8 [size =\"18865152\"]\n  6 -> 10 [size =\"18865152\"]\n  6 -> 11 [size =\"18865152\"]\n  7 [size=\"147077120\", alpha=\"0.03\", expect_size=\"44123136\"] \n  7 -> 11 [size =\"44123136\"]\n  8 [size=\"163109547\", alpha=\"0.13\", expect_size=\"48932864\"] \n  8 -> 12 [size =\"48932864\"]\n  9 [size=\"172963840\", alpha=\"0.07\", expect_size=\"51889152\"] \n  9 -> 13 [size =\"51889152\"]\n  10 [size=\"44393813\", alpha=\"0.10\", expect_size=\"13318144\"] \n  10 -> 13 [size =\"13318144\"]\n  11 [size=\"122624000\", alpha=\"0.12\", expect_size=\"36787200\"] \n  11 -> 12 [size =\"36787200\"]\n  12 [size=\"51961173\", alpha=\"0.10\", expect_size=\"15588352\"] \n  12 -> 16 [size =\"15588352\"]\n  13 [size=\"133451093\", alpha=\"0.04\", expect_size=\"40035328\"] \n  13 -> 14 [size =\"40035328\"]\n  13 -> 15 [size =\"40035328\"]\n  13 -> 17 [size =\"40035328\"]\n  14 [size=\"32522240\", alpha=\"0.07\", expect_size=\"9756672\"] \n  14 -> 19 [size =\"9756672\"]\n  15 [size=\"63638187\", alpha=\"0.05\", expect_size=\"19091456\"] \n  15 -> 18 [size =\"19091456\"]\n  15 -> 19 [size =\"19091456\"]\n  16 [size=\"167178240\", alpha=\"0.08\", expect_size=\"50153472\"] \n  17 [size=\"110609067\", alpha=\"0.07\", expect_size=\"33182720\"] \n  17 -> 18 [size =\"33182720\"]\n  18 [size=\"138001067\", alpha=\"0.12\", expect_size=\"41400320\"] \n  18 -> 20 [size =\"41400320\"]\n  19 [size=\"86698667\", alpha=\"0.14\", expect_size=\"26009600\"] \n  20 [size=\"141475840\", alpha=\"0.08\", expect_size=\"42442752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146496853\", alpha=\"0.02\", expect_size=\"43949056\"] \n  1 -> 12 [size =\"43949056\"]\n  1 -> 15 [size =\"43949056\"]\n  2 [size=\"51524267\", alpha=\"0.04\", expect_size=\"15457280\"] \n  2 -> 12 [size =\"15457280\"]\n  2 -> 15 [size =\"15457280\"]\n  3 [size=\"130184533\", alpha=\"0.15\", expect_size=\"39055360\"] \n  3 -> 11 [size =\"39055360\"]\n  3 -> 12 [size =\"39055360\"]\n  4 [size=\"145909760\", alpha=\"0.14\", expect_size=\"43772928\"] \n  4 -> 14 [size =\"43772928\"]\n  4 -> 15 [size =\"43772928\"]\n  5 [size=\"60354560\", alpha=\"0.13\", expect_size=\"18106368\"] \n  5 -> 11 [size =\"18106368\"]\n  5 -> 13 [size =\"18106368\"]\n  5 -> 15 [size =\"18106368\"]\n  6 [size=\"29812053\", alpha=\"0.11\", expect_size=\"8943616\"] \n  6 -> 11 [size =\"8943616\"]\n  6 -> 13 [size =\"8943616\"]\n  6 -> 15 [size =\"8943616\"]\n  7 [size=\"136983893\", alpha=\"0.18\", expect_size=\"41095168\"] \n  7 -> 11 [size =\"41095168\"]\n  7 -> 12 [size =\"41095168\"]\n  8 [size=\"31836160\", alpha=\"0.07\", expect_size=\"9550848\"] \n  9 [size=\"26170027\", alpha=\"0.07\", expect_size=\"7851008\"] \n  10 [size=\"79445333\", alpha=\"0.11\", expect_size=\"23833600\"] \n  10 -> 11 [size =\"23833600\"]\n  10 -> 15 [size =\"23833600\"]\n  11 [size=\"123054080\", alpha=\"0.11\", expect_size=\"36916224\"] \n  11 -> 16 [size =\"36916224\"]\n  11 -> 19 [size =\"36916224\"]\n  12 [size=\"135103147\", alpha=\"0.05\", expect_size=\"40530944\"] \n  12 -> 18 [size =\"40530944\"]\n  12 -> 20 [size =\"40530944\"]\n  13 [size=\"166843733\", alpha=\"0.09\", expect_size=\"50053120\"] \n  14 [size=\"124538880\", alpha=\"0.01\", expect_size=\"37361664\"] \n  14 -> 20 [size =\"37361664\"]\n  15 [size=\"77725013\", alpha=\"0.03\", expect_size=\"23317504\"] \n  15 -> 17 [size =\"23317504\"]\n  15 -> 18 [size =\"23317504\"]\n  15 -> 20 [size =\"23317504\"]\n  16 [size=\"23842133\", alpha=\"0.18\", expect_size=\"7152640\"] \n  17 [size=\"106711040\", alpha=\"0.12\", expect_size=\"32013312\"] \n  18 [size=\"92238507\", alpha=\"0.18\", expect_size=\"27671552\"] \n  19 [size=\"147568640\", alpha=\"0.20\", expect_size=\"44270592\"] \n  20 [size=\"43905707\", alpha=\"0.17\", expect_size=\"13171712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59676672\", alpha=\"0.09\", expect_size=\"29838336\"] \n  2 [size=\"44193792\", alpha=\"0.19\", expect_size=\"22096896\"] \n  3 [size=\"42186752\", alpha=\"0.18\", expect_size=\"21093376\"] \n  4 [size=\"75921408\", alpha=\"0.12\", expect_size=\"37960704\"] \n  5 [size=\"75575296\", alpha=\"0.14\", expect_size=\"37787648\"] \n  6 [size=\"100990976\", alpha=\"0.19\", expect_size=\"50495488\"] \n  7 [size=\"20736000\", alpha=\"0.07\", expect_size=\"10368000\"] \n  8 [size=\"18870272\", alpha=\"0.11\", expect_size=\"9435136\"] \n  9 [size=\"32008192\", alpha=\"0.19\", expect_size=\"16004096\"] \n  10 [size=\"84137984\", alpha=\"0.12\", expect_size=\"42068992\"] \n  11 [size=\"83496960\", alpha=\"0.10\", expect_size=\"41748480\"] \n  12 [size=\"32487424\", alpha=\"0.00\", expect_size=\"16243712\"] \n  13 [size=\"26572800\", alpha=\"0.07\", expect_size=\"13286400\"] \n  14 [size=\"15681536\", alpha=\"0.08\", expect_size=\"7840768\"] \n  15 [size=\"73971712\", alpha=\"0.01\", expect_size=\"36985856\"] \n  16 [size=\"44734464\", alpha=\"0.15\", expect_size=\"22367232\"] \n  17 [size=\"41244672\", alpha=\"0.09\", expect_size=\"20622336\"] \n  18 [size=\"75812864\", alpha=\"0.12\", expect_size=\"37906432\"] \n  19 [size=\"33183744\", alpha=\"0.17\", expect_size=\"16591872\"] \n  20 [size=\"27883520\", alpha=\"0.16\", expect_size=\"13941760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random20_test/random.20.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 13:58:42 2019\n// ./daggen --dot -n 20 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67319808\", alpha=\"0.09\", expect_size=\"33659904\"] \n  1 -> 9 [size =\"33659904\"]\n  1 -> 14 [size =\"33659904\"]\n  1 -> 15 [size =\"33659904\"]\n  2 [size=\"25819136\", alpha=\"0.09\", expect_size=\"12909568\"] \n  2 -> 11 [size =\"12909568\"]\n  2 -> 14 [size =\"12909568\"]\n  2 -> 15 [size =\"12909568\"]\n  3 [size=\"63121408\", alpha=\"0.18\", expect_size=\"31560704\"] \n  3 -> 13 [size =\"31560704\"]\n  3 -> 14 [size =\"31560704\"]\n  4 [size=\"50587648\", alpha=\"0.03\", expect_size=\"25293824\"] \n  4 -> 9 [size =\"25293824\"]\n  5 [size=\"21348352\", alpha=\"0.04\", expect_size=\"10674176\"] \n  5 -> 9 [size =\"10674176\"]\n  5 -> 11 [size =\"10674176\"]\n  5 -> 13 [size =\"10674176\"]\n  5 -> 14 [size =\"10674176\"]\n  6 [size=\"44120064\", alpha=\"0.06\", expect_size=\"22060032\"] \n  6 -> 9 [size =\"22060032\"]\n  6 -> 11 [size =\"22060032\"]\n  7 [size=\"103266304\", alpha=\"0.08\", expect_size=\"51633152\"] \n  7 -> 9 [size =\"51633152\"]\n  7 -> 11 [size =\"51633152\"]\n  7 -> 12 [size =\"51633152\"]\n  8 [size=\"59332608\", alpha=\"0.04\", expect_size=\"29666304\"] \n  8 -> 9 [size =\"29666304\"]\n  8 -> 10 [size =\"29666304\"]\n  8 -> 11 [size =\"29666304\"]\n  9 [size=\"90411008\", alpha=\"0.02\", expect_size=\"45205504\"] \n  9 -> 17 [size =\"45205504\"]\n  9 -> 20 [size =\"45205504\"]\n  10 [size=\"92561408\", alpha=\"0.09\", expect_size=\"46280704\"] \n  10 -> 17 [size =\"46280704\"]\n  10 -> 19 [size =\"46280704\"]\n  10 -> 20 [size =\"46280704\"]\n  11 [size=\"44435456\", alpha=\"0.14\", expect_size=\"22217728\"] \n  11 -> 16 [size =\"22217728\"]\n  11 -> 17 [size =\"22217728\"]\n  12 [size=\"88076288\", alpha=\"0.02\", expect_size=\"44038144\"] \n  12 -> 16 [size =\"44038144\"]\n  12 -> 20 [size =\"44038144\"]\n  13 [size=\"33972224\", alpha=\"0.16\", expect_size=\"16986112\"] \n  13 -> 16 [size =\"16986112\"]\n  13 -> 20 [size =\"16986112\"]\n  14 [size=\"22839296\", alpha=\"0.12\", expect_size=\"11419648\"] \n  14 -> 20 [size =\"11419648\"]\n  15 [size=\"39133184\", alpha=\"0.19\", expect_size=\"19566592\"] \n  15 -> 18 [size =\"19566592\"]\n  16 [size=\"59793408\", alpha=\"0.18\", expect_size=\"29896704\"] \n  17 [size=\"90120192\", alpha=\"0.18\", expect_size=\"45060096\"] \n  18 [size=\"33323008\", alpha=\"0.12\", expect_size=\"16661504\"] \n  19 [size=\"51937280\", alpha=\"0.01\", expect_size=\"25968640\"] \n  20 [size=\"61702144\", alpha=\"0.05\", expect_size=\"30851072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152309760\", alpha=\"0.09\", expect_size=\"45692928\"] \n  1 -> 11 [size =\"45692928\"]\n  1 -> 14 [size =\"45692928\"]\n  1 -> 15 [size =\"45692928\"]\n  1 -> 16 [size =\"45692928\"]\n  2 [size=\"52322987\", alpha=\"0.09\", expect_size=\"15696896\"] \n  2 -> 10 [size =\"15696896\"]\n  2 -> 11 [size =\"15696896\"]\n  2 -> 15 [size =\"15696896\"]\n  2 -> 16 [size =\"15696896\"]\n  3 [size=\"21435733\", alpha=\"0.18\", expect_size=\"6430720\"] \n  3 -> 10 [size =\"6430720\"]\n  3 -> 11 [size =\"6430720\"]\n  3 -> 12 [size =\"6430720\"]\n  3 -> 13 [size =\"6430720\"]\n  4 [size=\"127842987\", alpha=\"0.09\", expect_size=\"38352896\"] \n  4 -> 13 [size =\"38352896\"]\n  5 [size=\"151435947\", alpha=\"0.08\", expect_size=\"45430784\"] \n  5 -> 12 [size =\"45430784\"]\n  5 -> 13 [size =\"45430784\"]\n  5 -> 16 [size =\"45430784\"]\n  6 [size=\"62085120\", alpha=\"0.12\", expect_size=\"18625536\"] \n  6 -> 12 [size =\"18625536\"]\n  6 -> 16 [size =\"18625536\"]\n  6 -> 17 [size =\"18625536\"]\n  7 [size=\"128426667\", alpha=\"0.06\", expect_size=\"38528000\"] \n  7 -> 10 [size =\"38528000\"]\n  7 -> 12 [size =\"38528000\"]\n  7 -> 13 [size =\"38528000\"]\n  7 -> 14 [size =\"38528000\"]\n  7 -> 15 [size =\"38528000\"]\n  7 -> 17 [size =\"38528000\"]\n  8 [size=\"48629760\", alpha=\"0.15\", expect_size=\"14588928\"] \n  8 -> 10 [size =\"14588928\"]\n  8 -> 12 [size =\"14588928\"]\n  8 -> 14 [size =\"14588928\"]\n  8 -> 15 [size =\"14588928\"]\n  8 -> 17 [size =\"14588928\"]\n  9 [size=\"130600960\", alpha=\"0.18\", expect_size=\"39180288\"] \n  9 -> 10 [size =\"39180288\"]\n  9 -> 12 [size =\"39180288\"]\n  9 -> 13 [size =\"39180288\"]\n  9 -> 14 [size =\"39180288\"]\n  9 -> 16 [size =\"39180288\"]\n  10 [size=\"85097813\", alpha=\"0.20\", expect_size=\"25529344\"] \n  10 -> 22 [size =\"25529344\"]\n  10 -> 25 [size =\"25529344\"]\n  11 [size=\"31675733\", alpha=\"0.05\", expect_size=\"9502720\"] \n  11 -> 24 [size =\"9502720\"]\n  12 [size=\"104533333\", alpha=\"0.09\", expect_size=\"31360000\"] \n  12 -> 19 [size =\"31360000\"]\n  12 -> 23 [size =\"31360000\"]\n  12 -> 24 [size =\"31360000\"]\n  12 -> 25 [size =\"31360000\"]\n  13 [size=\"20855467\", alpha=\"0.08\", expect_size=\"6256640\"] \n  13 -> 19 [size =\"6256640\"]\n  13 -> 20 [size =\"6256640\"]\n  13 -> 24 [size =\"6256640\"]\n  14 [size=\"161805653\", alpha=\"0.18\", expect_size=\"48541696\"] \n  14 -> 19 [size =\"48541696\"]\n  14 -> 20 [size =\"48541696\"]\n  14 -> 21 [size =\"48541696\"]\n  15 [size=\"73803093\", alpha=\"0.07\", expect_size=\"22140928\"] \n  15 -> 20 [size =\"22140928\"]\n  15 -> 20 [size =\"22140928\"]\n  15 -> 23 [size =\"22140928\"]\n  15 -> 24 [size =\"22140928\"]\n  16 [size=\"139185493\", alpha=\"0.11\", expect_size=\"41755648\"] \n  16 -> 21 [size =\"41755648\"]\n  16 -> 23 [size =\"41755648\"]\n  16 -> 25 [size =\"41755648\"]\n  17 [size=\"75612160\", alpha=\"0.14\", expect_size=\"22683648\"] \n  17 -> 18 [size =\"22683648\"]\n  17 -> 19 [size =\"22683648\"]\n  17 -> 20 [size =\"22683648\"]\n  17 -> 22 [size =\"22683648\"]\n  17 -> 23 [size =\"22683648\"]\n  17 -> 24 [size =\"22683648\"]\n  17 -> 25 [size =\"22683648\"]\n  18 [size=\"123931307\", alpha=\"0.18\", expect_size=\"37179392\"] \n  19 [size=\"80885760\", alpha=\"0.03\", expect_size=\"24265728\"] \n  20 [size=\"62801920\", alpha=\"0.02\", expect_size=\"18840576\"] \n  21 [size=\"59791360\", alpha=\"0.19\", expect_size=\"17937408\"] \n  22 [size=\"96331093\", alpha=\"0.20\", expect_size=\"28899328\"] \n  23 [size=\"165133653\", alpha=\"0.01\", expect_size=\"49540096\"] \n  24 [size=\"72884907\", alpha=\"0.16\", expect_size=\"21865472\"] \n  25 [size=\"56855893\", alpha=\"0.09\", expect_size=\"17056768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65172480\", alpha=\"0.12\", expect_size=\"26068992\"] \n  1 -> 6 [size =\"26068992\"]\n  1 -> 8 [size =\"26068992\"]\n  1 -> 9 [size =\"26068992\"]\n  1 -> 10 [size =\"26068992\"]\n  2 [size=\"35732480\", alpha=\"0.14\", expect_size=\"14292992\"] \n  2 -> 10 [size =\"14292992\"]\n  3 [size=\"72212480\", alpha=\"0.09\", expect_size=\"28884992\"] \n  3 -> 7 [size =\"28884992\"]\n  3 -> 8 [size =\"28884992\"]\n  3 -> 9 [size =\"28884992\"]\n  4 [size=\"44615680\", alpha=\"0.19\", expect_size=\"17846272\"] \n  5 [size=\"32650240\", alpha=\"0.15\", expect_size=\"13060096\"] \n  5 -> 8 [size =\"13060096\"]\n  5 -> 9 [size =\"13060096\"]\n  6 [size=\"108536320\", alpha=\"0.01\", expect_size=\"43414528\"] \n  7 [size=\"31019520\", alpha=\"0.13\", expect_size=\"12407808\"] \n  7 -> 13 [size =\"12407808\"]\n  7 -> 14 [size =\"12407808\"]\n  8 [size=\"25420800\", alpha=\"0.10\", expect_size=\"10168320\"] \n  8 -> 11 [size =\"10168320\"]\n  8 -> 12 [size =\"10168320\"]\n  8 -> 14 [size =\"10168320\"]\n  8 -> 15 [size =\"10168320\"]\n  9 [size=\"90467840\", alpha=\"0.09\", expect_size=\"36187136\"] \n  9 -> 11 [size =\"36187136\"]\n  9 -> 14 [size =\"36187136\"]\n  10 [size=\"62799360\", alpha=\"0.11\", expect_size=\"25119744\"] \n  11 [size=\"110566400\", alpha=\"0.07\", expect_size=\"44226560\"] \n  11 -> 16 [size =\"44226560\"]\n  11 -> 17 [size =\"44226560\"]\n  12 [size=\"60951040\", alpha=\"0.17\", expect_size=\"24380416\"] \n  12 -> 16 [size =\"24380416\"]\n  12 -> 17 [size =\"24380416\"]\n  12 -> 18 [size =\"24380416\"]\n  13 [size=\"28021760\", alpha=\"0.19\", expect_size=\"11208704\"] \n  13 -> 17 [size =\"11208704\"]\n  13 -> 20 [size =\"11208704\"]\n  14 [size=\"78182400\", alpha=\"0.15\", expect_size=\"31272960\"] \n  14 -> 16 [size =\"31272960\"]\n  15 [size=\"71872000\", alpha=\"0.05\", expect_size=\"28748800\"] \n  15 -> 19 [size =\"28748800\"]\n  16 [size=\"41640960\", alpha=\"0.07\", expect_size=\"16656384\"] \n  16 -> 21 [size =\"16656384\"]\n  16 -> 22 [size =\"16656384\"]\n  17 [size=\"47976960\", alpha=\"0.10\", expect_size=\"19190784\"] \n  18 [size=\"124812800\", alpha=\"0.09\", expect_size=\"49925120\"] \n  19 [size=\"68144640\", alpha=\"0.06\", expect_size=\"27257856\"] \n  20 [size=\"120422400\", alpha=\"0.03\", expect_size=\"48168960\"] \n  20 -> 22 [size =\"48168960\"]\n  21 [size=\"69035520\", alpha=\"0.09\", expect_size=\"27614208\"] \n  21 -> 23 [size =\"27614208\"]\n  21 -> 24 [size =\"27614208\"]\n  21 -> 25 [size =\"27614208\"]\n  22 [size=\"111662080\", alpha=\"0.19\", expect_size=\"44664832\"] \n  23 [size=\"94929920\", alpha=\"0.19\", expect_size=\"37971968\"] \n  24 [size=\"88808960\", alpha=\"0.04\", expect_size=\"35523584\"] \n  25 [size=\"61798400\", alpha=\"0.13\", expect_size=\"24719360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33556480\", alpha=\"0.05\", expect_size=\"10066944\"] \n  1 -> 11 [size =\"10066944\"]\n  1 -> 15 [size =\"10066944\"]\n  2 [size=\"30204587\", alpha=\"0.03\", expect_size=\"9061376\"] \n  2 -> 10 [size =\"9061376\"]\n  2 -> 11 [size =\"9061376\"]\n  2 -> 12 [size =\"9061376\"]\n  2 -> 14 [size =\"9061376\"]\n  3 [size=\"129652053\", alpha=\"0.05\", expect_size=\"38895616\"] \n  3 -> 10 [size =\"38895616\"]\n  3 -> 11 [size =\"38895616\"]\n  4 [size=\"61484373\", alpha=\"0.07\", expect_size=\"18445312\"] \n  4 -> 10 [size =\"18445312\"]\n  4 -> 12 [size =\"18445312\"]\n  4 -> 13 [size =\"18445312\"]\n  4 -> 17 [size =\"18445312\"]\n  5 [size=\"96081920\", alpha=\"0.02\", expect_size=\"28824576\"] \n  5 -> 10 [size =\"28824576\"]\n  6 [size=\"130884267\", alpha=\"0.06\", expect_size=\"39265280\"] \n  6 -> 10 [size =\"39265280\"]\n  6 -> 11 [size =\"39265280\"]\n  6 -> 12 [size =\"39265280\"]\n  6 -> 15 [size =\"39265280\"]\n  7 [size=\"133222400\", alpha=\"0.09\", expect_size=\"39966720\"] \n  7 -> 15 [size =\"39966720\"]\n  7 -> 16 [size =\"39966720\"]\n  7 -> 17 [size =\"39966720\"]\n  8 [size=\"128382293\", alpha=\"0.12\", expect_size=\"38514688\"] \n  8 -> 11 [size =\"38514688\"]\n  8 -> 12 [size =\"38514688\"]\n  8 -> 17 [size =\"38514688\"]\n  9 [size=\"27900587\", alpha=\"0.07\", expect_size=\"8370176\"] \n  9 -> 15 [size =\"8370176\"]\n  9 -> 17 [size =\"8370176\"]\n  9 -> 17 [size =\"8370176\"]\n  10 [size=\"134297600\", alpha=\"0.11\", expect_size=\"40289280\"] \n  10 -> 18 [size =\"40289280\"]\n  10 -> 20 [size =\"40289280\"]\n  10 -> 21 [size =\"40289280\"]\n  10 -> 23 [size =\"40289280\"]\n  10 -> 24 [size =\"40289280\"]\n  11 [size=\"33798827\", alpha=\"0.11\", expect_size=\"10139648\"] \n  11 -> 18 [size =\"10139648\"]\n  11 -> 20 [size =\"10139648\"]\n  11 -> 23 [size =\"10139648\"]\n  11 -> 23 [size =\"10139648\"]\n  12 [size=\"72861013\", alpha=\"0.13\", expect_size=\"21858304\"] \n  13 [size=\"95426560\", alpha=\"0.02\", expect_size=\"28627968\"] \n  13 -> 19 [size =\"28627968\"]\n  13 -> 23 [size =\"28627968\"]\n  13 -> 24 [size =\"28627968\"]\n  14 [size=\"132584107\", alpha=\"0.07\", expect_size=\"39775232\"] \n  14 -> 20 [size =\"39775232\"]\n  14 -> 21 [size =\"39775232\"]\n  14 -> 22 [size =\"39775232\"]\n  14 -> 24 [size =\"39775232\"]\n  15 [size=\"29515093\", alpha=\"0.17\", expect_size=\"8854528\"] \n  15 -> 24 [size =\"8854528\"]\n  16 [size=\"48011947\", alpha=\"0.05\", expect_size=\"14403584\"] \n  16 -> 19 [size =\"14403584\"]\n  16 -> 22 [size =\"14403584\"]\n  16 -> 23 [size =\"14403584\"]\n  16 -> 24 [size =\"14403584\"]\n  17 [size=\"97706667\", alpha=\"0.07\", expect_size=\"29312000\"] \n  17 -> 23 [size =\"29312000\"]\n  18 [size=\"167526400\", alpha=\"0.16\", expect_size=\"50257920\"] \n  19 [size=\"106755413\", alpha=\"0.11\", expect_size=\"32026624\"] \n  20 [size=\"159924907\", alpha=\"0.14\", expect_size=\"47977472\"] \n  20 -> 25 [size =\"47977472\"]\n  21 [size=\"91422720\", alpha=\"0.19\", expect_size=\"27426816\"] \n  21 -> 25 [size =\"27426816\"]\n  22 [size=\"20336640\", alpha=\"0.06\", expect_size=\"6100992\"] \n  22 -> 25 [size =\"6100992\"]\n  23 [size=\"123054080\", alpha=\"0.07\", expect_size=\"36916224\"] \n  24 [size=\"138216107\", alpha=\"0.13\", expect_size=\"41464832\"] \n  24 -> 25 [size =\"41464832\"]\n  25 [size=\"32331093\", alpha=\"0.10\", expect_size=\"9699328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110909440\", alpha=\"0.08\", expect_size=\"33272832\"] \n  1 -> 5 [size =\"33272832\"]\n  1 -> 6 [size =\"33272832\"]\n  2 [size=\"31088640\", alpha=\"0.02\", expect_size=\"9326592\"] \n  2 -> 6 [size =\"9326592\"]\n  2 -> 7 [size =\"9326592\"]\n  3 [size=\"131089067\", alpha=\"0.04\", expect_size=\"39326720\"] \n  3 -> 7 [size =\"39326720\"]\n  4 [size=\"32399360\", alpha=\"0.07\", expect_size=\"9719808\"] \n  4 -> 5 [size =\"9719808\"]\n  5 [size=\"164669440\", alpha=\"0.05\", expect_size=\"49400832\"] \n  5 -> 8 [size =\"49400832\"]\n  5 -> 11 [size =\"49400832\"]\n  6 [size=\"79506773\", alpha=\"0.10\", expect_size=\"23852032\"] \n  6 -> 9 [size =\"23852032\"]\n  6 -> 10 [size =\"23852032\"]\n  6 -> 11 [size =\"23852032\"]\n  7 [size=\"54787413\", alpha=\"0.05\", expect_size=\"16436224\"] \n  7 -> 8 [size =\"16436224\"]\n  7 -> 10 [size =\"16436224\"]\n  8 [size=\"53978453\", alpha=\"0.19\", expect_size=\"16193536\"] \n  8 -> 13 [size =\"16193536\"]\n  9 [size=\"97498453\", alpha=\"0.08\", expect_size=\"29249536\"] \n  9 -> 14 [size =\"29249536\"]\n  10 [size=\"54702080\", alpha=\"0.13\", expect_size=\"16410624\"] \n  10 -> 12 [size =\"16410624\"]\n  11 [size=\"83933867\", alpha=\"0.00\", expect_size=\"25180160\"] \n  11 -> 12 [size =\"25180160\"]\n  11 -> 13 [size =\"25180160\"]\n  11 -> 14 [size =\"25180160\"]\n  12 [size=\"149732693\", alpha=\"0.20\", expect_size=\"44919808\"] \n  12 -> 15 [size =\"44919808\"]\n  12 -> 16 [size =\"44919808\"]\n  12 -> 18 [size =\"44919808\"]\n  13 [size=\"165635413\", alpha=\"0.12\", expect_size=\"49690624\"] \n  13 -> 16 [size =\"49690624\"]\n  14 [size=\"38778880\", alpha=\"0.10\", expect_size=\"11633664\"] \n  14 -> 15 [size =\"11633664\"]\n  14 -> 17 [size =\"11633664\"]\n  14 -> 18 [size =\"11633664\"]\n  15 [size=\"95481173\", alpha=\"0.02\", expect_size=\"28644352\"] \n  15 -> 19 [size =\"28644352\"]\n  15 -> 20 [size =\"28644352\"]\n  16 [size=\"135628800\", alpha=\"0.08\", expect_size=\"40688640\"] \n  16 -> 20 [size =\"40688640\"]\n  16 -> 21 [size =\"40688640\"]\n  17 [size=\"56640853\", alpha=\"0.14\", expect_size=\"16992256\"] \n  18 [size=\"94907733\", alpha=\"0.09\", expect_size=\"28472320\"] \n  18 -> 19 [size =\"28472320\"]\n  18 -> 20 [size =\"28472320\"]\n  18 -> 21 [size =\"28472320\"]\n  18 -> 22 [size =\"28472320\"]\n  19 [size=\"83558400\", alpha=\"0.19\", expect_size=\"25067520\"] \n  20 [size=\"147739307\", alpha=\"0.03\", expect_size=\"44321792\"] \n  20 -> 23 [size =\"44321792\"]\n  20 -> 24 [size =\"44321792\"]\n  21 [size=\"91064320\", alpha=\"0.18\", expect_size=\"27319296\"] \n  21 -> 24 [size =\"27319296\"]\n  22 [size=\"94832640\", alpha=\"0.16\", expect_size=\"28449792\"] \n  22 -> 24 [size =\"28449792\"]\n  23 [size=\"94272853\", alpha=\"0.08\", expect_size=\"28281856\"] \n  23 -> 25 [size =\"28281856\"]\n  24 [size=\"27798187\", alpha=\"0.02\", expect_size=\"8339456\"] \n  24 -> 25 [size =\"8339456\"]\n  25 [size=\"104045227\", alpha=\"0.14\", expect_size=\"31213568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17045504\", alpha=\"0.13\", expect_size=\"8522752\"] \n  1 -> 5 [size =\"8522752\"]\n  1 -> 8 [size =\"8522752\"]\n  2 [size=\"52471808\", alpha=\"0.04\", expect_size=\"26235904\"] \n  2 -> 6 [size =\"26235904\"]\n  2 -> 7 [size =\"26235904\"]\n  3 [size=\"34471936\", alpha=\"0.09\", expect_size=\"17235968\"] \n  3 -> 8 [size =\"17235968\"]\n  4 [size=\"79896576\", alpha=\"0.10\", expect_size=\"39948288\"] \n  4 -> 5 [size =\"39948288\"]\n  4 -> 6 [size =\"39948288\"]\n  5 [size=\"90011648\", alpha=\"0.10\", expect_size=\"45005824\"] \n  5 -> 9 [size =\"45005824\"]\n  5 -> 11 [size =\"45005824\"]\n  6 [size=\"44433408\", alpha=\"0.10\", expect_size=\"22216704\"] \n  6 -> 9 [size =\"22216704\"]\n  7 [size=\"51167232\", alpha=\"0.08\", expect_size=\"25583616\"] \n  7 -> 10 [size =\"25583616\"]\n  8 [size=\"59127808\", alpha=\"0.02\", expect_size=\"29563904\"] \n  8 -> 10 [size =\"29563904\"]\n  8 -> 12 [size =\"29563904\"]\n  9 [size=\"36366336\", alpha=\"0.14\", expect_size=\"18183168\"] \n  10 [size=\"30662656\", alpha=\"0.02\", expect_size=\"15331328\"] \n  10 -> 13 [size =\"15331328\"]\n  10 -> 16 [size =\"15331328\"]\n  11 [size=\"13084672\", alpha=\"0.03\", expect_size=\"6542336\"] \n  11 -> 16 [size =\"6542336\"]\n  11 -> 17 [size =\"6542336\"]\n  12 [size=\"73232384\", alpha=\"0.14\", expect_size=\"36616192\"] \n  12 -> 13 [size =\"36616192\"]\n  12 -> 14 [size =\"36616192\"]\n  12 -> 15 [size =\"36616192\"]\n  13 [size=\"89802752\", alpha=\"0.18\", expect_size=\"44901376\"] \n  13 -> 20 [size =\"44901376\"]\n  14 [size=\"38754304\", alpha=\"0.06\", expect_size=\"19377152\"] \n  14 -> 20 [size =\"19377152\"]\n  14 -> 21 [size =\"19377152\"]\n  15 [size=\"84682752\", alpha=\"0.19\", expect_size=\"42341376\"] \n  15 -> 18 [size =\"42341376\"]\n  15 -> 19 [size =\"42341376\"]\n  15 -> 21 [size =\"42341376\"]\n  16 [size=\"38309888\", alpha=\"0.19\", expect_size=\"19154944\"] \n  17 [size=\"84213760\", alpha=\"0.06\", expect_size=\"42106880\"] \n  18 [size=\"29810688\", alpha=\"0.20\", expect_size=\"14905344\"] \n  18 -> 22 [size =\"14905344\"]\n  18 -> 23 [size =\"14905344\"]\n  19 [size=\"40108032\", alpha=\"0.04\", expect_size=\"20054016\"] \n  19 -> 22 [size =\"20054016\"]\n  19 -> 24 [size =\"20054016\"]\n  20 [size=\"13715456\", alpha=\"0.18\", expect_size=\"6857728\"] \n  21 [size=\"24586240\", alpha=\"0.14\", expect_size=\"12293120\"] \n  22 [size=\"36528128\", alpha=\"0.18\", expect_size=\"18264064\"] \n  23 [size=\"102553600\", alpha=\"0.08\", expect_size=\"51276800\"] \n  23 -> 25 [size =\"51276800\"]\n  24 [size=\"92899328\", alpha=\"0.12\", expect_size=\"46449664\"] \n  24 -> 25 [size =\"46449664\"]\n  25 [size=\"25544704\", alpha=\"0.14\", expect_size=\"12772352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45479936\", alpha=\"0.06\", expect_size=\"22739968\"] \n  1 -> 2 [size =\"22739968\"]\n  2 [size=\"68474880\", alpha=\"0.15\", expect_size=\"34237440\"] \n  2 -> 3 [size =\"34237440\"]\n  3 [size=\"52267008\", alpha=\"0.06\", expect_size=\"26133504\"] \n  3 -> 4 [size =\"26133504\"]\n  3 -> 5 [size =\"26133504\"]\n  4 [size=\"39864320\", alpha=\"0.16\", expect_size=\"19932160\"] \n  4 -> 6 [size =\"19932160\"]\n  5 [size=\"89528320\", alpha=\"0.03\", expect_size=\"44764160\"] \n  5 -> 6 [size =\"44764160\"]\n  6 [size=\"15550464\", alpha=\"0.11\", expect_size=\"7775232\"] \n  6 -> 7 [size =\"7775232\"]\n  7 [size=\"47269888\", alpha=\"0.14\", expect_size=\"23634944\"] \n  7 -> 8 [size =\"23634944\"]\n  7 -> 9 [size =\"23634944\"]\n  8 [size=\"58777600\", alpha=\"0.13\", expect_size=\"29388800\"] \n  8 -> 10 [size =\"29388800\"]\n  9 [size=\"96206848\", alpha=\"0.10\", expect_size=\"48103424\"] \n  9 -> 10 [size =\"48103424\"]\n  10 [size=\"66107392\", alpha=\"0.02\", expect_size=\"33053696\"] \n  10 -> 11 [size =\"33053696\"]\n  11 [size=\"11087872\", alpha=\"0.06\", expect_size=\"5543936\"] \n  11 -> 12 [size =\"5543936\"]\n  11 -> 13 [size =\"5543936\"]\n  12 [size=\"39251968\", alpha=\"0.01\", expect_size=\"19625984\"] \n  12 -> 14 [size =\"19625984\"]\n  12 -> 15 [size =\"19625984\"]\n  13 [size=\"15724544\", alpha=\"0.09\", expect_size=\"7862272\"] \n  13 -> 14 [size =\"7862272\"]\n  13 -> 15 [size =\"7862272\"]\n  14 [size=\"42768384\", alpha=\"0.13\", expect_size=\"21384192\"] \n  14 -> 16 [size =\"21384192\"]\n  15 [size=\"24025088\", alpha=\"0.06\", expect_size=\"12012544\"] \n  15 -> 16 [size =\"12012544\"]\n  16 [size=\"37500928\", alpha=\"0.11\", expect_size=\"18750464\"] \n  16 -> 17 [size =\"18750464\"]\n  17 [size=\"88451072\", alpha=\"0.07\", expect_size=\"44225536\"] \n  17 -> 18 [size =\"44225536\"]\n  17 -> 19 [size =\"44225536\"]\n  18 [size=\"60090368\", alpha=\"0.19\", expect_size=\"30045184\"] \n  18 -> 20 [size =\"30045184\"]\n  18 -> 21 [size =\"30045184\"]\n  19 [size=\"28313600\", alpha=\"0.00\", expect_size=\"14156800\"] \n  19 -> 20 [size =\"14156800\"]\n  19 -> 21 [size =\"14156800\"]\n  20 [size=\"77463552\", alpha=\"0.09\", expect_size=\"38731776\"] \n  20 -> 22 [size =\"38731776\"]\n  21 [size=\"88709120\", alpha=\"0.05\", expect_size=\"44354560\"] \n  22 [size=\"21223424\", alpha=\"0.14\", expect_size=\"10611712\"] \n  22 -> 23 [size =\"10611712\"]\n  22 -> 24 [size =\"10611712\"]\n  23 [size=\"25878528\", alpha=\"0.11\", expect_size=\"12939264\"] \n  23 -> 25 [size =\"12939264\"]\n  24 [size=\"67174400\", alpha=\"0.15\", expect_size=\"33587200\"] \n  24 -> 25 [size =\"33587200\"]\n  25 [size=\"32829440\", alpha=\"0.16\", expect_size=\"16414720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42304000\", alpha=\"0.19\", expect_size=\"16921600\"] \n  1 -> 4 [size =\"16921600\"]\n  1 -> 5 [size =\"16921600\"]\n  1 -> 6 [size =\"16921600\"]\n  1 -> 7 [size =\"16921600\"]\n  2 [size=\"128724480\", alpha=\"0.06\", expect_size=\"51489792\"] \n  3 [size=\"67118080\", alpha=\"0.16\", expect_size=\"26847232\"] \n  3 -> 7 [size =\"26847232\"]\n  4 [size=\"67097600\", alpha=\"0.05\", expect_size=\"26839040\"] \n  5 [size=\"70287360\", alpha=\"0.14\", expect_size=\"28114944\"] \n  5 -> 9 [size =\"28114944\"]\n  6 [size=\"32496640\", alpha=\"0.08\", expect_size=\"12998656\"] \n  6 -> 9 [size =\"12998656\"]\n  6 -> 10 [size =\"12998656\"]\n  6 -> 11 [size =\"12998656\"]\n  7 [size=\"112207360\", alpha=\"0.14\", expect_size=\"44882944\"] \n  7 -> 8 [size =\"44882944\"]\n  8 [size=\"57384960\", alpha=\"0.11\", expect_size=\"22953984\"] \n  8 -> 12 [size =\"22953984\"]\n  8 -> 14 [size =\"22953984\"]\n  9 [size=\"79777280\", alpha=\"0.08\", expect_size=\"31910912\"] \n  9 -> 12 [size =\"31910912\"]\n  9 -> 13 [size =\"31910912\"]\n  9 -> 15 [size =\"31910912\"]\n  10 [size=\"46394880\", alpha=\"0.13\", expect_size=\"18557952\"] \n  10 -> 14 [size =\"18557952\"]\n  11 [size=\"17405440\", alpha=\"0.18\", expect_size=\"6962176\"] \n  11 -> 15 [size =\"6962176\"]\n  12 [size=\"14080000\", alpha=\"0.12\", expect_size=\"5632000\"] \n  12 -> 17 [size =\"5632000\"]\n  13 [size=\"46625280\", alpha=\"0.15\", expect_size=\"18650112\"] \n  13 -> 17 [size =\"18650112\"]\n  13 -> 18 [size =\"18650112\"]\n  14 [size=\"22069760\", alpha=\"0.14\", expect_size=\"8827904\"] \n  14 -> 16 [size =\"8827904\"]\n  15 [size=\"51919360\", alpha=\"0.13\", expect_size=\"20767744\"] \n  15 -> 18 [size =\"20767744\"]\n  16 [size=\"18662400\", alpha=\"0.13\", expect_size=\"7464960\"] \n  16 -> 19 [size =\"7464960\"]\n  16 -> 20 [size =\"7464960\"]\n  17 [size=\"65413120\", alpha=\"0.07\", expect_size=\"26165248\"] \n  18 [size=\"29534720\", alpha=\"0.05\", expect_size=\"11813888\"] \n  18 -> 21 [size =\"11813888\"]\n  19 [size=\"95841280\", alpha=\"0.17\", expect_size=\"38336512\"] \n  19 -> 22 [size =\"38336512\"]\n  19 -> 25 [size =\"38336512\"]\n  20 [size=\"22963200\", alpha=\"0.14\", expect_size=\"9185280\"] \n  20 -> 23 [size =\"9185280\"]\n  20 -> 24 [size =\"9185280\"]\n  21 [size=\"100638720\", alpha=\"0.16\", expect_size=\"40255488\"] \n  21 -> 22 [size =\"40255488\"]\n  21 -> 23 [size =\"40255488\"]\n  22 [size=\"87618560\", alpha=\"0.18\", expect_size=\"35047424\"] \n  23 [size=\"41372160\", alpha=\"0.08\", expect_size=\"16548864\"] \n  24 [size=\"14213120\", alpha=\"0.08\", expect_size=\"5685248\"] \n  25 [size=\"98247680\", alpha=\"0.18\", expect_size=\"39299072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49991680\", alpha=\"0.02\", expect_size=\"19996672\"] \n  1 -> 2 [size =\"19996672\"]\n  2 [size=\"22174720\", alpha=\"0.06\", expect_size=\"8869888\"] \n  2 -> 3 [size =\"8869888\"]\n  3 [size=\"70456320\", alpha=\"0.05\", expect_size=\"28182528\"] \n  3 -> 4 [size =\"28182528\"]\n  4 [size=\"53964800\", alpha=\"0.09\", expect_size=\"21585920\"] \n  4 -> 5 [size =\"21585920\"]\n  5 [size=\"51553280\", alpha=\"0.16\", expect_size=\"20621312\"] \n  5 -> 6 [size =\"20621312\"]\n  6 [size=\"68620800\", alpha=\"0.17\", expect_size=\"27448320\"] \n  6 -> 7 [size =\"27448320\"]\n  7 [size=\"78325760\", alpha=\"0.20\", expect_size=\"31330304\"] \n  7 -> 8 [size =\"31330304\"]\n  8 [size=\"44725760\", alpha=\"0.09\", expect_size=\"17890304\"] \n  8 -> 9 [size =\"17890304\"]\n  9 [size=\"120670720\", alpha=\"0.01\", expect_size=\"48268288\"] \n  9 -> 10 [size =\"48268288\"]\n  10 [size=\"100753920\", alpha=\"0.15\", expect_size=\"40301568\"] \n  10 -> 11 [size =\"40301568\"]\n  11 [size=\"25300480\", alpha=\"0.08\", expect_size=\"10120192\"] \n  11 -> 12 [size =\"10120192\"]\n  12 [size=\"36147200\", alpha=\"0.19\", expect_size=\"14458880\"] \n  12 -> 13 [size =\"14458880\"]\n  13 [size=\"71472640\", alpha=\"0.00\", expect_size=\"28589056\"] \n  13 -> 14 [size =\"28589056\"]\n  14 [size=\"98030080\", alpha=\"0.04\", expect_size=\"39212032\"] \n  14 -> 15 [size =\"39212032\"]\n  15 [size=\"32366080\", alpha=\"0.05\", expect_size=\"12946432\"] \n  15 -> 16 [size =\"12946432\"]\n  16 [size=\"125091840\", alpha=\"0.15\", expect_size=\"50036736\"] \n  16 -> 17 [size =\"50036736\"]\n  17 [size=\"104921600\", alpha=\"0.17\", expect_size=\"41968640\"] \n  17 -> 18 [size =\"41968640\"]\n  18 [size=\"102016000\", alpha=\"0.16\", expect_size=\"40806400\"] \n  18 -> 19 [size =\"40806400\"]\n  19 [size=\"36953600\", alpha=\"0.11\", expect_size=\"14781440\"] \n  19 -> 20 [size =\"14781440\"]\n  20 [size=\"41162240\", alpha=\"0.18\", expect_size=\"16464896\"] \n  20 -> 21 [size =\"16464896\"]\n  21 [size=\"14115840\", alpha=\"0.10\", expect_size=\"5646336\"] \n  21 -> 22 [size =\"5646336\"]\n  22 [size=\"60935680\", alpha=\"0.05\", expect_size=\"24374272\"] \n  22 -> 23 [size =\"24374272\"]\n  23 [size=\"55646720\", alpha=\"0.09\", expect_size=\"22258688\"] \n  23 -> 24 [size =\"22258688\"]\n  24 [size=\"56650240\", alpha=\"0.00\", expect_size=\"22660096\"] \n  24 -> 25 [size =\"22660096\"]\n  25 [size=\"79854080\", alpha=\"0.18\", expect_size=\"31941632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53671936\", alpha=\"0.01\", expect_size=\"26835968\"] \n  1 -> 7 [size =\"26835968\"]\n  2 [size=\"92729344\", alpha=\"0.04\", expect_size=\"46364672\"] \n  3 [size=\"70430720\", alpha=\"0.04\", expect_size=\"35215360\"] \n  3 -> 6 [size =\"35215360\"]\n  4 [size=\"11278336\", alpha=\"0.03\", expect_size=\"5639168\"] \n  4 -> 5 [size =\"5639168\"]\n  5 [size=\"80324608\", alpha=\"0.10\", expect_size=\"40162304\"] \n  6 [size=\"103626752\", alpha=\"0.06\", expect_size=\"51813376\"] \n  6 -> 8 [size =\"51813376\"]\n  6 -> 9 [size =\"51813376\"]\n  7 [size=\"15894528\", alpha=\"0.16\", expect_size=\"7947264\"] \n  7 -> 9 [size =\"7947264\"]\n  8 [size=\"29347840\", alpha=\"0.08\", expect_size=\"14673920\"] \n  8 -> 11 [size =\"14673920\"]\n  8 -> 12 [size =\"14673920\"]\n  9 [size=\"59918336\", alpha=\"0.18\", expect_size=\"29959168\"] \n  9 -> 10 [size =\"29959168\"]\n  9 -> 13 [size =\"29959168\"]\n  10 [size=\"13322240\", alpha=\"0.02\", expect_size=\"6661120\"] \n  10 -> 14 [size =\"6661120\"]\n  11 [size=\"101646336\", alpha=\"0.09\", expect_size=\"50823168\"] \n  11 -> 14 [size =\"50823168\"]\n  12 [size=\"104302592\", alpha=\"0.06\", expect_size=\"52151296\"] \n  12 -> 15 [size =\"52151296\"]\n  12 -> 16 [size =\"52151296\"]\n  12 -> 17 [size =\"52151296\"]\n  13 [size=\"26667008\", alpha=\"0.09\", expect_size=\"13333504\"] \n  13 -> 16 [size =\"13333504\"]\n  13 -> 17 [size =\"13333504\"]\n  14 [size=\"45457408\", alpha=\"0.00\", expect_size=\"22728704\"] \n  14 -> 18 [size =\"22728704\"]\n  15 [size=\"59633664\", alpha=\"0.19\", expect_size=\"29816832\"] \n  15 -> 19 [size =\"29816832\"]\n  16 [size=\"12199936\", alpha=\"0.06\", expect_size=\"6099968\"] \n  17 [size=\"38928384\", alpha=\"0.06\", expect_size=\"19464192\"] \n  17 -> 18 [size =\"19464192\"]\n  17 -> 19 [size =\"19464192\"]\n  18 [size=\"17807360\", alpha=\"0.16\", expect_size=\"8903680\"] \n  18 -> 20 [size =\"8903680\"]\n  19 [size=\"56023040\", alpha=\"0.08\", expect_size=\"28011520\"] \n  19 -> 20 [size =\"28011520\"]\n  19 -> 21 [size =\"28011520\"]\n  20 [size=\"47394816\", alpha=\"0.03\", expect_size=\"23697408\"] \n  20 -> 22 [size =\"23697408\"]\n  20 -> 24 [size =\"23697408\"]\n  20 -> 25 [size =\"23697408\"]\n  21 [size=\"58150912\", alpha=\"0.07\", expect_size=\"29075456\"] \n  21 -> 23 [size =\"29075456\"]\n  21 -> 24 [size =\"29075456\"]\n  21 -> 25 [size =\"29075456\"]\n  22 [size=\"98969600\", alpha=\"0.08\", expect_size=\"49484800\"] \n  23 [size=\"35061760\", alpha=\"0.03\", expect_size=\"17530880\"] \n  24 [size=\"78815232\", alpha=\"0.17\", expect_size=\"39407616\"] \n  25 [size=\"78958592\", alpha=\"0.06\", expect_size=\"39479296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23523328\", alpha=\"0.07\", expect_size=\"11761664\"] \n  1 -> 24 [size =\"11761664\"]\n  2 [size=\"67465216\", alpha=\"0.10\", expect_size=\"33732608\"] \n  2 -> 22 [size =\"33732608\"]\n  2 -> 24 [size =\"33732608\"]\n  3 [size=\"64020480\", alpha=\"0.11\", expect_size=\"32010240\"] \n  3 -> 23 [size =\"32010240\"]\n  4 [size=\"75941888\", alpha=\"0.06\", expect_size=\"37970944\"] \n  4 -> 22 [size =\"37970944\"]\n  5 [size=\"21454848\", alpha=\"0.11\", expect_size=\"10727424\"] \n  5 -> 22 [size =\"10727424\"]\n  5 -> 24 [size =\"10727424\"]\n  6 [size=\"13703168\", alpha=\"0.09\", expect_size=\"6851584\"] \n  6 -> 22 [size =\"6851584\"]\n  7 [size=\"46446592\", alpha=\"0.18\", expect_size=\"23223296\"] \n  7 -> 22 [size =\"23223296\"]\n  8 [size=\"31655936\", alpha=\"0.15\", expect_size=\"15827968\"] \n  9 [size=\"54886400\", alpha=\"0.09\", expect_size=\"27443200\"] \n  9 -> 22 [size =\"27443200\"]\n  9 -> 24 [size =\"27443200\"]\n  10 [size=\"87797760\", alpha=\"0.06\", expect_size=\"43898880\"] \n  10 -> 25 [size =\"43898880\"]\n  11 [size=\"54542336\", alpha=\"0.09\", expect_size=\"27271168\"] \n  12 [size=\"89573376\", alpha=\"0.17\", expect_size=\"44786688\"] \n  12 -> 22 [size =\"44786688\"]\n  12 -> 24 [size =\"44786688\"]\n  12 -> 25 [size =\"44786688\"]\n  13 [size=\"44472320\", alpha=\"0.17\", expect_size=\"22236160\"] \n  13 -> 24 [size =\"22236160\"]\n  13 -> 25 [size =\"22236160\"]\n  14 [size=\"95647744\", alpha=\"0.11\", expect_size=\"47823872\"] \n  14 -> 24 [size =\"47823872\"]\n  15 [size=\"27232256\", alpha=\"0.02\", expect_size=\"13616128\"] \n  15 -> 25 [size =\"13616128\"]\n  16 [size=\"79628288\", alpha=\"0.00\", expect_size=\"39814144\"] \n  16 -> 22 [size =\"39814144\"]\n  16 -> 23 [size =\"39814144\"]\n  16 -> 24 [size =\"39814144\"]\n  17 [size=\"29169664\", alpha=\"0.11\", expect_size=\"14584832\"] \n  17 -> 22 [size =\"14584832\"]\n  17 -> 23 [size =\"14584832\"]\n  17 -> 24 [size =\"14584832\"]\n  18 [size=\"19048448\", alpha=\"0.07\", expect_size=\"9524224\"] \n  18 -> 24 [size =\"9524224\"]\n  19 [size=\"87908352\", alpha=\"0.14\", expect_size=\"43954176\"] \n  19 -> 22 [size =\"43954176\"]\n  19 -> 24 [size =\"43954176\"]\n  20 [size=\"35708928\", alpha=\"0.20\", expect_size=\"17854464\"] \n  20 -> 22 [size =\"17854464\"]\n  20 -> 24 [size =\"17854464\"]\n  21 [size=\"63057920\", alpha=\"0.08\", expect_size=\"31528960\"] \n  21 -> 23 [size =\"31528960\"]\n  22 [size=\"103708672\", alpha=\"0.08\", expect_size=\"51854336\"] \n  23 [size=\"90017792\", alpha=\"0.20\", expect_size=\"45008896\"] \n  24 [size=\"74844160\", alpha=\"0.05\", expect_size=\"37422080\"] \n  25 [size=\"30310400\", alpha=\"0.13\", expect_size=\"15155200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25075712\", alpha=\"0.00\", expect_size=\"12537856\"] \n  1 -> 4 [size =\"12537856\"]\n  1 -> 5 [size =\"12537856\"]\n  1 -> 6 [size =\"12537856\"]\n  1 -> 7 [size =\"12537856\"]\n  2 [size=\"104177664\", alpha=\"0.02\", expect_size=\"52088832\"] \n  2 -> 3 [size =\"52088832\"]\n  2 -> 4 [size =\"52088832\"]\n  2 -> 5 [size =\"52088832\"]\n  2 -> 6 [size =\"52088832\"]\n  2 -> 7 [size =\"52088832\"]\n  3 [size=\"55459840\", alpha=\"0.11\", expect_size=\"27729920\"] \n  3 -> 9 [size =\"27729920\"]\n  4 [size=\"86745088\", alpha=\"0.10\", expect_size=\"43372544\"] \n  4 -> 9 [size =\"43372544\"]\n  5 [size=\"25876480\", alpha=\"0.09\", expect_size=\"12938240\"] \n  6 [size=\"33728512\", alpha=\"0.18\", expect_size=\"16864256\"] \n  7 [size=\"36464640\", alpha=\"0.19\", expect_size=\"18232320\"] \n  7 -> 8 [size =\"18232320\"]\n  8 [size=\"11255808\", alpha=\"0.18\", expect_size=\"5627904\"] \n  8 -> 10 [size =\"5627904\"]\n  8 -> 11 [size =\"5627904\"]\n  8 -> 12 [size =\"5627904\"]\n  9 [size=\"34269184\", alpha=\"0.13\", expect_size=\"17134592\"] \n  9 -> 10 [size =\"17134592\"]\n  9 -> 12 [size =\"17134592\"]\n  10 [size=\"38588416\", alpha=\"0.15\", expect_size=\"19294208\"] \n  10 -> 15 [size =\"19294208\"]\n  10 -> 16 [size =\"19294208\"]\n  11 [size=\"102619136\", alpha=\"0.07\", expect_size=\"51309568\"] \n  11 -> 14 [size =\"51309568\"]\n  11 -> 15 [size =\"51309568\"]\n  11 -> 16 [size =\"51309568\"]\n  12 [size=\"104269824\", alpha=\"0.04\", expect_size=\"52134912\"] \n  12 -> 13 [size =\"52134912\"]\n  12 -> 15 [size =\"52134912\"]\n  12 -> 16 [size =\"52134912\"]\n  13 [size=\"19269632\", alpha=\"0.12\", expect_size=\"9634816\"] \n  13 -> 17 [size =\"9634816\"]\n  13 -> 18 [size =\"9634816\"]\n  14 [size=\"72329216\", alpha=\"0.18\", expect_size=\"36164608\"] \n  14 -> 17 [size =\"36164608\"]\n  15 [size=\"27500544\", alpha=\"0.04\", expect_size=\"13750272\"] \n  15 -> 17 [size =\"13750272\"]\n  16 [size=\"71413760\", alpha=\"0.18\", expect_size=\"35706880\"] \n  16 -> 18 [size =\"35706880\"]\n  17 [size=\"60860416\", alpha=\"0.00\", expect_size=\"30430208\"] \n  17 -> 20 [size =\"30430208\"]\n  17 -> 21 [size =\"30430208\"]\n  18 [size=\"55609344\", alpha=\"0.04\", expect_size=\"27804672\"] \n  18 -> 19 [size =\"27804672\"]\n  18 -> 21 [size =\"27804672\"]\n  18 -> 22 [size =\"27804672\"]\n  19 [size=\"47802368\", alpha=\"0.14\", expect_size=\"23901184\"] \n  19 -> 24 [size =\"23901184\"]\n  19 -> 24 [size =\"23901184\"]\n  20 [size=\"15294464\", alpha=\"0.16\", expect_size=\"7647232\"] \n  21 [size=\"87640064\", alpha=\"0.02\", expect_size=\"43820032\"] \n  21 -> 24 [size =\"43820032\"]\n  22 [size=\"24090624\", alpha=\"0.07\", expect_size=\"12045312\"] \n  22 -> 23 [size =\"12045312\"]\n  22 -> 24 [size =\"12045312\"]\n  23 [size=\"43331584\", alpha=\"0.02\", expect_size=\"21665792\"] \n  23 -> 25 [size =\"21665792\"]\n  24 [size=\"101933056\", alpha=\"0.13\", expect_size=\"50966528\"] \n  24 -> 25 [size =\"50966528\"]\n  25 [size=\"93310976\", alpha=\"0.07\", expect_size=\"46655488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126941867\", alpha=\"0.13\", expect_size=\"38082560\"] \n  1 -> 3 [size =\"38082560\"]\n  2 [size=\"60439893\", alpha=\"0.04\", expect_size=\"18131968\"] \n  2 -> 4 [size =\"18131968\"]\n  3 [size=\"128709973\", alpha=\"0.16\", expect_size=\"38612992\"] \n  3 -> 5 [size =\"38612992\"]\n  4 [size=\"43898880\", alpha=\"0.01\", expect_size=\"13169664\"] \n  5 [size=\"55507627\", alpha=\"0.17\", expect_size=\"16652288\"] \n  5 -> 6 [size =\"16652288\"]\n  6 [size=\"110370133\", alpha=\"0.09\", expect_size=\"33111040\"] \n  6 -> 7 [size =\"33111040\"]\n  6 -> 8 [size =\"33111040\"]\n  7 [size=\"108301653\", alpha=\"0.13\", expect_size=\"32490496\"] \n  7 -> 9 [size =\"32490496\"]\n  7 -> 10 [size =\"32490496\"]\n  8 [size=\"75062613\", alpha=\"0.05\", expect_size=\"22518784\"] \n  9 [size=\"128570027\", alpha=\"0.15\", expect_size=\"38571008\"] \n  9 -> 11 [size =\"38571008\"]\n  10 [size=\"141315413\", alpha=\"0.10\", expect_size=\"42394624\"] \n  11 [size=\"155289600\", alpha=\"0.12\", expect_size=\"46586880\"] \n  11 -> 12 [size =\"46586880\"]\n  12 [size=\"102949547\", alpha=\"0.16\", expect_size=\"30884864\"] \n  12 -> 13 [size =\"30884864\"]\n  12 -> 14 [size =\"30884864\"]\n  13 [size=\"135109973\", alpha=\"0.09\", expect_size=\"40532992\"] \n  14 [size=\"104263680\", alpha=\"0.06\", expect_size=\"31279104\"] \n  14 -> 15 [size =\"31279104\"]\n  15 [size=\"114862080\", alpha=\"0.18\", expect_size=\"34458624\"] \n  15 -> 16 [size =\"34458624\"]\n  15 -> 17 [size =\"34458624\"]\n  16 [size=\"93713067\", alpha=\"0.18\", expect_size=\"28113920\"] \n  17 [size=\"167775573\", alpha=\"0.06\", expect_size=\"50332672\"] \n  17 -> 18 [size =\"50332672\"]\n  18 [size=\"116015787\", alpha=\"0.20\", expect_size=\"34804736\"] \n  18 -> 19 [size =\"34804736\"]\n  19 [size=\"155142827\", alpha=\"0.20\", expect_size=\"46542848\"] \n  19 -> 20 [size =\"46542848\"]\n  20 [size=\"112438613\", alpha=\"0.08\", expect_size=\"33731584\"] \n  20 -> 21 [size =\"33731584\"]\n  21 [size=\"35020800\", alpha=\"0.10\", expect_size=\"10506240\"] \n  21 -> 22 [size =\"10506240\"]\n  22 [size=\"132273493\", alpha=\"0.18\", expect_size=\"39682048\"] \n  22 -> 23 [size =\"39682048\"]\n  22 -> 24 [size =\"39682048\"]\n  23 [size=\"104031573\", alpha=\"0.19\", expect_size=\"31209472\"] \n  24 [size=\"20043093\", alpha=\"0.04\", expect_size=\"6012928\"] \n  24 -> 25 [size =\"6012928\"]\n  25 [size=\"64453973\", alpha=\"0.14\", expect_size=\"19336192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31272960\", alpha=\"0.11\", expect_size=\"9381888\"] \n  1 -> 2 [size =\"9381888\"]\n  2 [size=\"93136213\", alpha=\"0.09\", expect_size=\"27940864\"] \n  2 -> 3 [size =\"27940864\"]\n  3 [size=\"91446613\", alpha=\"0.18\", expect_size=\"27433984\"] \n  3 -> 4 [size =\"27433984\"]\n  4 [size=\"21760000\", alpha=\"0.16\", expect_size=\"6528000\"] \n  4 -> 5 [size =\"6528000\"]\n  5 [size=\"113745920\", alpha=\"0.04\", expect_size=\"34123776\"] \n  5 -> 6 [size =\"34123776\"]\n  6 [size=\"32880640\", alpha=\"0.17\", expect_size=\"9864192\"] \n  6 -> 7 [size =\"9864192\"]\n  7 [size=\"46909440\", alpha=\"0.19\", expect_size=\"14072832\"] \n  7 -> 8 [size =\"14072832\"]\n  8 [size=\"94815573\", alpha=\"0.11\", expect_size=\"28444672\"] \n  8 -> 9 [size =\"28444672\"]\n  9 [size=\"26968747\", alpha=\"0.17\", expect_size=\"8090624\"] \n  9 -> 10 [size =\"8090624\"]\n  10 [size=\"84459520\", alpha=\"0.06\", expect_size=\"25337856\"] \n  10 -> 11 [size =\"25337856\"]\n  11 [size=\"107673600\", alpha=\"0.10\", expect_size=\"32302080\"] \n  11 -> 12 [size =\"32302080\"]\n  12 [size=\"34867200\", alpha=\"0.03\", expect_size=\"10460160\"] \n  12 -> 13 [size =\"10460160\"]\n  13 [size=\"105390080\", alpha=\"0.09\", expect_size=\"31617024\"] \n  13 -> 14 [size =\"31617024\"]\n  14 [size=\"89405440\", alpha=\"0.15\", expect_size=\"26821632\"] \n  14 -> 15 [size =\"26821632\"]\n  15 [size=\"61436587\", alpha=\"0.16\", expect_size=\"18430976\"] \n  15 -> 16 [size =\"18430976\"]\n  16 [size=\"95488000\", alpha=\"0.19\", expect_size=\"28646400\"] \n  16 -> 17 [size =\"28646400\"]\n  17 [size=\"75731627\", alpha=\"0.14\", expect_size=\"22719488\"] \n  17 -> 18 [size =\"22719488\"]\n  18 [size=\"64989867\", alpha=\"0.01\", expect_size=\"19496960\"] \n  18 -> 19 [size =\"19496960\"]\n  19 [size=\"150091093\", alpha=\"0.16\", expect_size=\"45027328\"] \n  19 -> 20 [size =\"45027328\"]\n  20 [size=\"125521920\", alpha=\"0.04\", expect_size=\"37656576\"] \n  20 -> 21 [size =\"37656576\"]\n  21 [size=\"169526613\", alpha=\"0.13\", expect_size=\"50857984\"] \n  21 -> 22 [size =\"50857984\"]\n  22 [size=\"89412267\", alpha=\"0.12\", expect_size=\"26823680\"] \n  22 -> 23 [size =\"26823680\"]\n  23 [size=\"116288853\", alpha=\"0.00\", expect_size=\"34886656\"] \n  23 -> 24 [size =\"34886656\"]\n  24 [size=\"33341440\", alpha=\"0.09\", expect_size=\"10002432\"] \n  24 -> 25 [size =\"10002432\"]\n  25 [size=\"150405120\", alpha=\"0.10\", expect_size=\"45121536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127964160\", alpha=\"0.04\", expect_size=\"51185664\"] \n  1 -> 6 [size =\"51185664\"]\n  1 -> 8 [size =\"51185664\"]\n  2 [size=\"109463040\", alpha=\"0.16\", expect_size=\"43785216\"] \n  2 -> 7 [size =\"43785216\"]\n  3 [size=\"77255680\", alpha=\"0.15\", expect_size=\"30902272\"] \n  3 -> 7 [size =\"30902272\"]\n  3 -> 8 [size =\"30902272\"]\n  4 [size=\"103961600\", alpha=\"0.11\", expect_size=\"41584640\"] \n  4 -> 6 [size =\"41584640\"]\n  4 -> 7 [size =\"41584640\"]\n  5 [size=\"73497600\", alpha=\"0.11\", expect_size=\"29399040\"] \n  5 -> 6 [size =\"29399040\"]\n  6 [size=\"123340800\", alpha=\"0.17\", expect_size=\"49336320\"] \n  6 -> 11 [size =\"49336320\"]\n  6 -> 12 [size =\"49336320\"]\n  7 [size=\"121146880\", alpha=\"0.18\", expect_size=\"48458752\"] \n  7 -> 9 [size =\"48458752\"]\n  7 -> 13 [size =\"48458752\"]\n  8 [size=\"15567360\", alpha=\"0.08\", expect_size=\"6226944\"] \n  8 -> 10 [size =\"6226944\"]\n  8 -> 11 [size =\"6226944\"]\n  9 [size=\"23800320\", alpha=\"0.13\", expect_size=\"9520128\"] \n  9 -> 15 [size =\"9520128\"]\n  9 -> 17 [size =\"9520128\"]\n  10 [size=\"122544640\", alpha=\"0.02\", expect_size=\"49017856\"] \n  10 -> 16 [size =\"49017856\"]\n  11 [size=\"114513920\", alpha=\"0.16\", expect_size=\"45805568\"] \n  11 -> 15 [size =\"45805568\"]\n  11 -> 16 [size =\"45805568\"]\n  12 [size=\"23011840\", alpha=\"0.01\", expect_size=\"9204736\"] \n  12 -> 14 [size =\"9204736\"]\n  12 -> 15 [size =\"9204736\"]\n  12 -> 16 [size =\"9204736\"]\n  12 -> 17 [size =\"9204736\"]\n  13 [size=\"114716160\", alpha=\"0.19\", expect_size=\"45886464\"] \n  13 -> 17 [size =\"45886464\"]\n  14 [size=\"82414080\", alpha=\"0.06\", expect_size=\"32965632\"] \n  14 -> 19 [size =\"32965632\"]\n  14 -> 20 [size =\"32965632\"]\n  15 [size=\"31226880\", alpha=\"0.17\", expect_size=\"12490752\"] \n  16 [size=\"98227200\", alpha=\"0.00\", expect_size=\"39290880\"] \n  16 -> 19 [size =\"39290880\"]\n  17 [size=\"80494080\", alpha=\"0.04\", expect_size=\"32197632\"] \n  17 -> 18 [size =\"32197632\"]\n  17 -> 19 [size =\"32197632\"]\n  18 [size=\"70661120\", alpha=\"0.19\", expect_size=\"28264448\"] \n  18 -> 21 [size =\"28264448\"]\n  18 -> 22 [size =\"28264448\"]\n  18 -> 25 [size =\"28264448\"]\n  19 [size=\"116718080\", alpha=\"0.13\", expect_size=\"46687232\"] \n  19 -> 23 [size =\"46687232\"]\n  20 [size=\"74859520\", alpha=\"0.16\", expect_size=\"29943808\"] \n  20 -> 21 [size =\"29943808\"]\n  20 -> 22 [size =\"29943808\"]\n  20 -> 23 [size =\"29943808\"]\n  20 -> 24 [size =\"29943808\"]\n  20 -> 25 [size =\"29943808\"]\n  21 [size=\"89274880\", alpha=\"0.19\", expect_size=\"35709952\"] \n  22 [size=\"65781760\", alpha=\"0.18\", expect_size=\"26312704\"] \n  23 [size=\"70702080\", alpha=\"0.08\", expect_size=\"28280832\"] \n  24 [size=\"63027200\", alpha=\"0.14\", expect_size=\"25210880\"] \n  25 [size=\"99486720\", alpha=\"0.09\", expect_size=\"39794688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106038613\", alpha=\"0.07\", expect_size=\"31811584\"] \n  1 -> 17 [size =\"31811584\"]\n  1 -> 19 [size =\"31811584\"]\n  1 -> 22 [size =\"31811584\"]\n  1 -> 24 [size =\"31811584\"]\n  2 [size=\"155054080\", alpha=\"0.08\", expect_size=\"46516224\"] \n  2 -> 15 [size =\"46516224\"]\n  2 -> 17 [size =\"46516224\"]\n  2 -> 19 [size =\"46516224\"]\n  2 -> 22 [size =\"46516224\"]\n  2 -> 23 [size =\"46516224\"]\n  3 [size=\"20032853\", alpha=\"0.02\", expect_size=\"6009856\"] \n  3 -> 17 [size =\"6009856\"]\n  3 -> 18 [size =\"6009856\"]\n  3 -> 20 [size =\"6009856\"]\n  3 -> 21 [size =\"6009856\"]\n  3 -> 22 [size =\"6009856\"]\n  3 -> 23 [size =\"6009856\"]\n  4 [size=\"95276373\", alpha=\"0.14\", expect_size=\"28582912\"] \n  4 -> 15 [size =\"28582912\"]\n  4 -> 16 [size =\"28582912\"]\n  4 -> 17 [size =\"28582912\"]\n  4 -> 19 [size =\"28582912\"]\n  4 -> 22 [size =\"28582912\"]\n  4 -> 24 [size =\"28582912\"]\n  5 [size=\"26258773\", alpha=\"0.00\", expect_size=\"7877632\"] \n  5 -> 22 [size =\"7877632\"]\n  5 -> 23 [size =\"7877632\"]\n  6 [size=\"120657920\", alpha=\"0.05\", expect_size=\"36197376\"] \n  6 -> 17 [size =\"36197376\"]\n  6 -> 18 [size =\"36197376\"]\n  6 -> 24 [size =\"36197376\"]\n  6 -> 25 [size =\"36197376\"]\n  7 [size=\"91221333\", alpha=\"0.10\", expect_size=\"27366400\"] \n  7 -> 17 [size =\"27366400\"]\n  7 -> 18 [size =\"27366400\"]\n  7 -> 22 [size =\"27366400\"]\n  7 -> 23 [size =\"27366400\"]\n  7 -> 24 [size =\"27366400\"]\n  8 [size=\"49486507\", alpha=\"0.11\", expect_size=\"14845952\"] \n  8 -> 15 [size =\"14845952\"]\n  8 -> 18 [size =\"14845952\"]\n  8 -> 19 [size =\"14845952\"]\n  8 -> 20 [size =\"14845952\"]\n  8 -> 22 [size =\"14845952\"]\n  8 -> 23 [size =\"14845952\"]\n  9 [size=\"121326933\", alpha=\"0.14\", expect_size=\"36398080\"] \n  9 -> 18 [size =\"36398080\"]\n  9 -> 19 [size =\"36398080\"]\n  9 -> 20 [size =\"36398080\"]\n  9 -> 23 [size =\"36398080\"]\n  10 [size=\"150108160\", alpha=\"0.18\", expect_size=\"45032448\"] \n  10 -> 17 [size =\"45032448\"]\n  10 -> 23 [size =\"45032448\"]\n  10 -> 24 [size =\"45032448\"]\n  11 [size=\"142888960\", alpha=\"0.02\", expect_size=\"42866688\"] \n  11 -> 17 [size =\"42866688\"]\n  11 -> 18 [size =\"42866688\"]\n  11 -> 22 [size =\"42866688\"]\n  11 -> 23 [size =\"42866688\"]\n  12 [size=\"39966720\", alpha=\"0.19\", expect_size=\"11990016\"] \n  12 -> 22 [size =\"11990016\"]\n  12 -> 23 [size =\"11990016\"]\n  13 [size=\"100509013\", alpha=\"0.12\", expect_size=\"30152704\"] \n  13 -> 19 [size =\"30152704\"]\n  13 -> 21 [size =\"30152704\"]\n  13 -> 23 [size =\"30152704\"]\n  13 -> 25 [size =\"30152704\"]\n  14 [size=\"119565653\", alpha=\"0.10\", expect_size=\"35869696\"] \n  14 -> 15 [size =\"35869696\"]\n  14 -> 17 [size =\"35869696\"]\n  14 -> 19 [size =\"35869696\"]\n  14 -> 22 [size =\"35869696\"]\n  14 -> 24 [size =\"35869696\"]\n  14 -> 25 [size =\"35869696\"]\n  15 [size=\"71287467\", alpha=\"0.15\", expect_size=\"21386240\"] \n  16 [size=\"73304747\", alpha=\"0.14\", expect_size=\"21991424\"] \n  17 [size=\"115145387\", alpha=\"0.04\", expect_size=\"34543616\"] \n  18 [size=\"40075947\", alpha=\"0.07\", expect_size=\"12022784\"] \n  19 [size=\"130269867\", alpha=\"0.06\", expect_size=\"39080960\"] \n  20 [size=\"82875733\", alpha=\"0.01\", expect_size=\"24862720\"] \n  21 [size=\"68915200\", alpha=\"0.06\", expect_size=\"20674560\"] \n  22 [size=\"87203840\", alpha=\"0.10\", expect_size=\"26161152\"] \n  23 [size=\"76608853\", alpha=\"0.13\", expect_size=\"22982656\"] \n  24 [size=\"170868053\", alpha=\"0.07\", expect_size=\"51260416\"] \n  25 [size=\"92982613\", alpha=\"0.01\", expect_size=\"27894784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41635840\", alpha=\"0.14\", expect_size=\"12490752\"] \n  2 [size=\"73181867\", alpha=\"0.12\", expect_size=\"21954560\"] \n  2 -> 3 [size =\"21954560\"]\n  3 [size=\"32846507\", alpha=\"0.19\", expect_size=\"9853952\"] \n  3 -> 4 [size =\"9853952\"]\n  3 -> 5 [size =\"9853952\"]\n  4 [size=\"109383680\", alpha=\"0.01\", expect_size=\"32815104\"] \n  5 [size=\"149773653\", alpha=\"0.19\", expect_size=\"44932096\"] \n  5 -> 6 [size =\"44932096\"]\n  6 [size=\"86504107\", alpha=\"0.05\", expect_size=\"25951232\"] \n  6 -> 7 [size =\"25951232\"]\n  7 [size=\"33921707\", alpha=\"0.09\", expect_size=\"10176512\"] \n  7 -> 8 [size =\"10176512\"]\n  7 -> 9 [size =\"10176512\"]\n  8 [size=\"161839787\", alpha=\"0.09\", expect_size=\"48551936\"] \n  9 [size=\"102666240\", alpha=\"0.01\", expect_size=\"30799872\"] \n  9 -> 10 [size =\"30799872\"]\n  10 [size=\"73489067\", alpha=\"0.17\", expect_size=\"22046720\"] \n  10 -> 11 [size =\"22046720\"]\n  10 -> 12 [size =\"22046720\"]\n  11 [size=\"157579947\", alpha=\"0.05\", expect_size=\"47273984\"] \n  11 -> 14 [size =\"47273984\"]\n  12 [size=\"107182080\", alpha=\"0.06\", expect_size=\"32154624\"] \n  12 -> 13 [size =\"32154624\"]\n  13 [size=\"45527040\", alpha=\"0.15\", expect_size=\"13658112\"] \n  14 [size=\"36007253\", alpha=\"0.05\", expect_size=\"10802176\"] \n  14 -> 15 [size =\"10802176\"]\n  15 [size=\"47448747\", alpha=\"0.03\", expect_size=\"14234624\"] \n  15 -> 16 [size =\"14234624\"]\n  15 -> 17 [size =\"14234624\"]\n  16 [size=\"41622187\", alpha=\"0.19\", expect_size=\"12486656\"] \n  16 -> 19 [size =\"12486656\"]\n  17 [size=\"79701333\", alpha=\"0.02\", expect_size=\"23910400\"] \n  17 -> 18 [size =\"23910400\"]\n  18 [size=\"151186773\", alpha=\"0.05\", expect_size=\"45356032\"] \n  18 -> 21 [size =\"45356032\"]\n  19 [size=\"61197653\", alpha=\"0.16\", expect_size=\"18359296\"] \n  19 -> 20 [size =\"18359296\"]\n  20 [size=\"71577600\", alpha=\"0.00\", expect_size=\"21473280\"] \n  20 -> 22 [size =\"21473280\"]\n  20 -> 23 [size =\"21473280\"]\n  21 [size=\"49585493\", alpha=\"0.07\", expect_size=\"14875648\"] \n  22 [size=\"86261760\", alpha=\"0.02\", expect_size=\"25878528\"] \n  22 -> 24 [size =\"25878528\"]\n  23 [size=\"136448000\", alpha=\"0.18\", expect_size=\"40934400\"] \n  23 -> 25 [size =\"40934400\"]\n  24 [size=\"95969280\", alpha=\"0.06\", expect_size=\"28790784\"] \n  25 [size=\"138222933\", alpha=\"0.11\", expect_size=\"41466880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91607040\", alpha=\"0.14\", expect_size=\"27482112\"] \n  1 -> 2 [size =\"27482112\"]\n  2 [size=\"24576000\", alpha=\"0.03\", expect_size=\"7372800\"] \n  2 -> 3 [size =\"7372800\"]\n  3 [size=\"46708053\", alpha=\"0.18\", expect_size=\"14012416\"] \n  3 -> 4 [size =\"14012416\"]\n  4 [size=\"43397120\", alpha=\"0.03\", expect_size=\"13019136\"] \n  4 -> 5 [size =\"13019136\"]\n  5 [size=\"83121493\", alpha=\"0.08\", expect_size=\"24936448\"] \n  5 -> 6 [size =\"24936448\"]\n  6 [size=\"161099093\", alpha=\"0.11\", expect_size=\"48329728\"] \n  6 -> 7 [size =\"48329728\"]\n  7 [size=\"160989867\", alpha=\"0.11\", expect_size=\"48296960\"] \n  7 -> 8 [size =\"48296960\"]\n  8 [size=\"171236693\", alpha=\"0.05\", expect_size=\"51371008\"] \n  8 -> 9 [size =\"51371008\"]\n  9 [size=\"129017173\", alpha=\"0.20\", expect_size=\"38705152\"] \n  9 -> 10 [size =\"38705152\"]\n  10 [size=\"159771307\", alpha=\"0.13\", expect_size=\"47931392\"] \n  10 -> 11 [size =\"47931392\"]\n  11 [size=\"85998933\", alpha=\"0.13\", expect_size=\"25799680\"] \n  11 -> 12 [size =\"25799680\"]\n  12 [size=\"41530027\", alpha=\"0.04\", expect_size=\"12459008\"] \n  12 -> 13 [size =\"12459008\"]\n  13 [size=\"65648640\", alpha=\"0.08\", expect_size=\"19694592\"] \n  13 -> 14 [size =\"19694592\"]\n  14 [size=\"53227520\", alpha=\"0.03\", expect_size=\"15968256\"] \n  14 -> 15 [size =\"15968256\"]\n  15 [size=\"80298667\", alpha=\"0.19\", expect_size=\"24089600\"] \n  15 -> 16 [size =\"24089600\"]\n  16 [size=\"143571627\", alpha=\"0.19\", expect_size=\"43071488\"] \n  16 -> 17 [size =\"43071488\"]\n  17 [size=\"70458027\", alpha=\"0.16\", expect_size=\"21137408\"] \n  17 -> 18 [size =\"21137408\"]\n  18 [size=\"156426240\", alpha=\"0.07\", expect_size=\"46927872\"] \n  18 -> 19 [size =\"46927872\"]\n  19 [size=\"38004053\", alpha=\"0.17\", expect_size=\"11401216\"] \n  19 -> 20 [size =\"11401216\"]\n  20 [size=\"36553387\", alpha=\"0.13\", expect_size=\"10966016\"] \n  20 -> 21 [size =\"10966016\"]\n  21 [size=\"140629333\", alpha=\"0.19\", expect_size=\"42188800\"] \n  21 -> 22 [size =\"42188800\"]\n  22 [size=\"84176213\", alpha=\"0.05\", expect_size=\"25252864\"] \n  22 -> 23 [size =\"25252864\"]\n  23 [size=\"118193493\", alpha=\"0.15\", expect_size=\"35458048\"] \n  23 -> 24 [size =\"35458048\"]\n  24 [size=\"22842027\", alpha=\"0.09\", expect_size=\"6852608\"] \n  24 -> 25 [size =\"6852608\"]\n  25 [size=\"46117547\", alpha=\"0.10\", expect_size=\"13835264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27942400\", alpha=\"0.14\", expect_size=\"11176960\"] \n  1 -> 10 [size =\"11176960\"]\n  1 -> 11 [size =\"11176960\"]\n  1 -> 14 [size =\"11176960\"]\n  1 -> 16 [size =\"11176960\"]\n  1 -> 18 [size =\"11176960\"]\n  2 [size=\"129026560\", alpha=\"0.17\", expect_size=\"51610624\"] \n  2 -> 10 [size =\"51610624\"]\n  2 -> 11 [size =\"51610624\"]\n  2 -> 12 [size =\"51610624\"]\n  2 -> 13 [size =\"51610624\"]\n  2 -> 14 [size =\"51610624\"]\n  2 -> 16 [size =\"51610624\"]\n  2 -> 17 [size =\"51610624\"]\n  2 -> 19 [size =\"51610624\"]\n  3 [size=\"33748480\", alpha=\"0.09\", expect_size=\"13499392\"] \n  3 -> 10 [size =\"13499392\"]\n  3 -> 11 [size =\"13499392\"]\n  3 -> 12 [size =\"13499392\"]\n  3 -> 14 [size =\"13499392\"]\n  3 -> 14 [size =\"13499392\"]\n  3 -> 16 [size =\"13499392\"]\n  3 -> 17 [size =\"13499392\"]\n  3 -> 18 [size =\"13499392\"]\n  3 -> 19 [size =\"13499392\"]\n  4 [size=\"109125120\", alpha=\"0.10\", expect_size=\"43650048\"] \n  4 -> 9 [size =\"43650048\"]\n  4 -> 11 [size =\"43650048\"]\n  4 -> 12 [size =\"43650048\"]\n  4 -> 13 [size =\"43650048\"]\n  4 -> 14 [size =\"43650048\"]\n  4 -> 16 [size =\"43650048\"]\n  4 -> 17 [size =\"43650048\"]\n  4 -> 19 [size =\"43650048\"]\n  4 -> 19 [size =\"43650048\"]\n  5 [size=\"130967040\", alpha=\"0.05\", expect_size=\"52386816\"] \n  5 -> 10 [size =\"52386816\"]\n  5 -> 12 [size =\"52386816\"]\n  5 -> 16 [size =\"52386816\"]\n  5 -> 19 [size =\"52386816\"]\n  6 [size=\"29145600\", alpha=\"0.18\", expect_size=\"11658240\"] \n  6 -> 9 [size =\"11658240\"]\n  6 -> 10 [size =\"11658240\"]\n  6 -> 13 [size =\"11658240\"]\n  6 -> 14 [size =\"11658240\"]\n  6 -> 15 [size =\"11658240\"]\n  6 -> 16 [size =\"11658240\"]\n  7 [size=\"51543040\", alpha=\"0.09\", expect_size=\"20617216\"] \n  7 -> 11 [size =\"20617216\"]\n  7 -> 12 [size =\"20617216\"]\n  7 -> 13 [size =\"20617216\"]\n  7 -> 14 [size =\"20617216\"]\n  7 -> 17 [size =\"20617216\"]\n  7 -> 18 [size =\"20617216\"]\n  7 -> 19 [size =\"20617216\"]\n  8 [size=\"74053120\", alpha=\"0.09\", expect_size=\"29621248\"] \n  8 -> 11 [size =\"29621248\"]\n  8 -> 16 [size =\"29621248\"]\n  8 -> 18 [size =\"29621248\"]\n  9 [size=\"29655040\", alpha=\"0.15\", expect_size=\"11862016\"] \n  9 -> 21 [size =\"11862016\"]\n  9 -> 22 [size =\"11862016\"]\n  9 -> 23 [size =\"11862016\"]\n  10 [size=\"63114240\", alpha=\"0.13\", expect_size=\"25245696\"] \n  10 -> 21 [size =\"25245696\"]\n  10 -> 22 [size =\"25245696\"]\n  10 -> 24 [size =\"25245696\"]\n  10 -> 25 [size =\"25245696\"]\n  11 [size=\"108024320\", alpha=\"0.02\", expect_size=\"43209728\"] \n  11 -> 21 [size =\"43209728\"]\n  11 -> 22 [size =\"43209728\"]\n  11 -> 25 [size =\"43209728\"]\n  12 [size=\"72849920\", alpha=\"0.06\", expect_size=\"29139968\"] \n  12 -> 21 [size =\"29139968\"]\n  12 -> 22 [size =\"29139968\"]\n  13 [size=\"55383040\", alpha=\"0.09\", expect_size=\"22153216\"] \n  13 -> 20 [size =\"22153216\"]\n  13 -> 21 [size =\"22153216\"]\n  13 -> 22 [size =\"22153216\"]\n  13 -> 24 [size =\"22153216\"]\n  14 [size=\"110758400\", alpha=\"0.09\", expect_size=\"44303360\"] \n  14 -> 21 [size =\"44303360\"]\n  14 -> 22 [size =\"44303360\"]\n  14 -> 22 [size =\"44303360\"]\n  14 -> 24 [size =\"44303360\"]\n  15 [size=\"52910080\", alpha=\"0.11\", expect_size=\"21164032\"] \n  15 -> 20 [size =\"21164032\"]\n  15 -> 21 [size =\"21164032\"]\n  15 -> 22 [size =\"21164032\"]\n  15 -> 24 [size =\"21164032\"]\n  16 [size=\"82004480\", alpha=\"0.16\", expect_size=\"32801792\"] \n  17 [size=\"71275520\", alpha=\"0.01\", expect_size=\"28510208\"] \n  17 -> 22 [size =\"28510208\"]\n  18 [size=\"122867200\", alpha=\"0.10\", expect_size=\"49146880\"] \n  18 -> 21 [size =\"49146880\"]\n  18 -> 22 [size =\"49146880\"]\n  18 -> 23 [size =\"49146880\"]\n  18 -> 24 [size =\"49146880\"]\n  19 [size=\"55301120\", alpha=\"0.05\", expect_size=\"22120448\"] \n  19 -> 21 [size =\"22120448\"]\n  20 [size=\"24156160\", alpha=\"0.08\", expect_size=\"9662464\"] \n  21 [size=\"103193600\", alpha=\"0.12\", expect_size=\"41277440\"] \n  22 [size=\"117509120\", alpha=\"0.17\", expect_size=\"47003648\"] \n  23 [size=\"32345600\", alpha=\"0.05\", expect_size=\"12938240\"] \n  24 [size=\"86353920\", alpha=\"0.09\", expect_size=\"34541568\"] \n  25 [size=\"23055360\", alpha=\"0.14\", expect_size=\"9222144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96178176\", alpha=\"0.01\", expect_size=\"48089088\"] \n  1 -> 2 [size =\"48089088\"]\n  2 [size=\"51896320\", alpha=\"0.13\", expect_size=\"25948160\"] \n  2 -> 3 [size =\"25948160\"]\n  3 [size=\"12171264\", alpha=\"0.13\", expect_size=\"6085632\"] \n  3 -> 4 [size =\"6085632\"]\n  4 [size=\"37199872\", alpha=\"0.16\", expect_size=\"18599936\"] \n  4 -> 5 [size =\"18599936\"]\n  5 [size=\"103612416\", alpha=\"0.05\", expect_size=\"51806208\"] \n  5 -> 6 [size =\"51806208\"]\n  6 [size=\"88803328\", alpha=\"0.11\", expect_size=\"44401664\"] \n  6 -> 7 [size =\"44401664\"]\n  7 [size=\"99651584\", alpha=\"0.00\", expect_size=\"49825792\"] \n  7 -> 8 [size =\"49825792\"]\n  8 [size=\"44566528\", alpha=\"0.06\", expect_size=\"22283264\"] \n  8 -> 9 [size =\"22283264\"]\n  9 [size=\"46436352\", alpha=\"0.17\", expect_size=\"23218176\"] \n  9 -> 10 [size =\"23218176\"]\n  10 [size=\"39929856\", alpha=\"0.00\", expect_size=\"19964928\"] \n  10 -> 11 [size =\"19964928\"]\n  11 [size=\"84453376\", alpha=\"0.07\", expect_size=\"42226688\"] \n  11 -> 12 [size =\"42226688\"]\n  12 [size=\"86923264\", alpha=\"0.04\", expect_size=\"43461632\"] \n  12 -> 13 [size =\"43461632\"]\n  13 [size=\"53848064\", alpha=\"0.06\", expect_size=\"26924032\"] \n  13 -> 14 [size =\"26924032\"]\n  14 [size=\"19294208\", alpha=\"0.15\", expect_size=\"9647104\"] \n  14 -> 15 [size =\"9647104\"]\n  15 [size=\"92463104\", alpha=\"0.19\", expect_size=\"46231552\"] \n  15 -> 16 [size =\"46231552\"]\n  16 [size=\"20346880\", alpha=\"0.06\", expect_size=\"10173440\"] \n  16 -> 17 [size =\"10173440\"]\n  17 [size=\"70004736\", alpha=\"0.16\", expect_size=\"35002368\"] \n  17 -> 18 [size =\"35002368\"]\n  18 [size=\"71483392\", alpha=\"0.15\", expect_size=\"35741696\"] \n  18 -> 19 [size =\"35741696\"]\n  19 [size=\"98560000\", alpha=\"0.15\", expect_size=\"49280000\"] \n  19 -> 20 [size =\"49280000\"]\n  20 [size=\"83093504\", alpha=\"0.18\", expect_size=\"41546752\"] \n  20 -> 21 [size =\"41546752\"]\n  21 [size=\"84074496\", alpha=\"0.20\", expect_size=\"42037248\"] \n  21 -> 22 [size =\"42037248\"]\n  22 [size=\"22827008\", alpha=\"0.10\", expect_size=\"11413504\"] \n  22 -> 23 [size =\"11413504\"]\n  23 [size=\"42418176\", alpha=\"0.00\", expect_size=\"21209088\"] \n  23 -> 24 [size =\"21209088\"]\n  24 [size=\"72931328\", alpha=\"0.16\", expect_size=\"36465664\"] \n  24 -> 25 [size =\"36465664\"]\n  25 [size=\"50030592\", alpha=\"0.12\", expect_size=\"25015296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118653440\", alpha=\"0.14\", expect_size=\"47461376\"] \n  1 -> 2 [size =\"47461376\"]\n  2 [size=\"75082240\", alpha=\"0.18\", expect_size=\"30032896\"] \n  2 -> 3 [size =\"30032896\"]\n  3 [size=\"61895680\", alpha=\"0.05\", expect_size=\"24758272\"] \n  3 -> 4 [size =\"24758272\"]\n  3 -> 5 [size =\"24758272\"]\n  4 [size=\"59799040\", alpha=\"0.09\", expect_size=\"23919616\"] \n  5 [size=\"55032320\", alpha=\"0.11\", expect_size=\"22012928\"] \n  5 -> 6 [size =\"22012928\"]\n  6 [size=\"64911360\", alpha=\"0.14\", expect_size=\"25964544\"] \n  6 -> 7 [size =\"25964544\"]\n  6 -> 8 [size =\"25964544\"]\n  7 [size=\"14904320\", alpha=\"0.01\", expect_size=\"5961728\"] \n  7 -> 9 [size =\"5961728\"]\n  8 [size=\"22351360\", alpha=\"0.05\", expect_size=\"8940544\"] \n  9 [size=\"93626880\", alpha=\"0.19\", expect_size=\"37450752\"] \n  9 -> 10 [size =\"37450752\"]\n  10 [size=\"30033920\", alpha=\"0.16\", expect_size=\"12013568\"] \n  10 -> 11 [size =\"12013568\"]\n  11 [size=\"63761920\", alpha=\"0.13\", expect_size=\"25504768\"] \n  11 -> 12 [size =\"25504768\"]\n  11 -> 13 [size =\"25504768\"]\n  12 [size=\"25733120\", alpha=\"0.14\", expect_size=\"10293248\"] \n  12 -> 14 [size =\"10293248\"]\n  13 [size=\"13634560\", alpha=\"0.01\", expect_size=\"5453824\"] \n  14 [size=\"41692160\", alpha=\"0.03\", expect_size=\"16676864\"] \n  14 -> 15 [size =\"16676864\"]\n  14 -> 16 [size =\"16676864\"]\n  15 [size=\"95751680\", alpha=\"0.11\", expect_size=\"38300672\"] \n  15 -> 17 [size =\"38300672\"]\n  16 [size=\"41400320\", alpha=\"0.17\", expect_size=\"16560128\"] \n  16 -> 17 [size =\"16560128\"]\n  16 -> 18 [size =\"16560128\"]\n  17 [size=\"126412800\", alpha=\"0.12\", expect_size=\"50565120\"] \n  17 -> 20 [size =\"50565120\"]\n  18 [size=\"14412800\", alpha=\"0.16\", expect_size=\"5765120\"] \n  18 -> 19 [size =\"5765120\"]\n  18 -> 20 [size =\"5765120\"]\n  19 [size=\"45109760\", alpha=\"0.19\", expect_size=\"18043904\"] \n  19 -> 21 [size =\"18043904\"]\n  20 [size=\"40839680\", alpha=\"0.08\", expect_size=\"16335872\"] \n  20 -> 21 [size =\"16335872\"]\n  21 [size=\"15385600\", alpha=\"0.15\", expect_size=\"6154240\"] \n  21 -> 22 [size =\"6154240\"]\n  22 [size=\"93094400\", alpha=\"0.13\", expect_size=\"37237760\"] \n  22 -> 23 [size =\"37237760\"]\n  22 -> 24 [size =\"37237760\"]\n  23 [size=\"57461760\", alpha=\"0.19\", expect_size=\"22984704\"] \n  24 [size=\"63418880\", alpha=\"0.13\", expect_size=\"25367552\"] \n  24 -> 25 [size =\"25367552\"]\n  25 [size=\"82024960\", alpha=\"0.14\", expect_size=\"32809984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15006720\", alpha=\"0.17\", expect_size=\"6002688\"] \n  1 -> 5 [size =\"6002688\"]\n  1 -> 7 [size =\"6002688\"]\n  2 [size=\"43156480\", alpha=\"0.00\", expect_size=\"17262592\"] \n  2 -> 5 [size =\"17262592\"]\n  2 -> 7 [size =\"17262592\"]\n  3 [size=\"62545920\", alpha=\"0.13\", expect_size=\"25018368\"] \n  3 -> 5 [size =\"25018368\"]\n  3 -> 7 [size =\"25018368\"]\n  4 [size=\"78786560\", alpha=\"0.04\", expect_size=\"31514624\"] \n  4 -> 5 [size =\"31514624\"]\n  4 -> 6 [size =\"31514624\"]\n  4 -> 7 [size =\"31514624\"]\n  5 [size=\"76044800\", alpha=\"0.05\", expect_size=\"30417920\"] \n  5 -> 8 [size =\"30417920\"]\n  5 -> 9 [size =\"30417920\"]\n  6 [size=\"56064000\", alpha=\"0.17\", expect_size=\"22425600\"] \n  6 -> 8 [size =\"22425600\"]\n  6 -> 9 [size =\"22425600\"]\n  6 -> 10 [size =\"22425600\"]\n  7 [size=\"46835200\", alpha=\"0.04\", expect_size=\"18734080\"] \n  7 -> 8 [size =\"18734080\"]\n  7 -> 9 [size =\"18734080\"]\n  8 [size=\"130626560\", alpha=\"0.17\", expect_size=\"52250624\"] \n  8 -> 11 [size =\"52250624\"]\n  8 -> 12 [size =\"52250624\"]\n  8 -> 13 [size =\"52250624\"]\n  8 -> 14 [size =\"52250624\"]\n  9 [size=\"98688000\", alpha=\"0.03\", expect_size=\"39475200\"] \n  9 -> 11 [size =\"39475200\"]\n  9 -> 12 [size =\"39475200\"]\n  9 -> 13 [size =\"39475200\"]\n  9 -> 14 [size =\"39475200\"]\n  10 [size=\"61603840\", alpha=\"0.02\", expect_size=\"24641536\"] \n  10 -> 12 [size =\"24641536\"]\n  10 -> 14 [size =\"24641536\"]\n  11 [size=\"105177600\", alpha=\"0.18\", expect_size=\"42071040\"] \n  11 -> 15 [size =\"42071040\"]\n  11 -> 17 [size =\"42071040\"]\n  12 [size=\"87521280\", alpha=\"0.03\", expect_size=\"35008512\"] \n  12 -> 15 [size =\"35008512\"]\n  12 -> 16 [size =\"35008512\"]\n  12 -> 17 [size =\"35008512\"]\n  12 -> 18 [size =\"35008512\"]\n  12 -> 19 [size =\"35008512\"]\n  13 [size=\"90078720\", alpha=\"0.12\", expect_size=\"36031488\"] \n  13 -> 15 [size =\"36031488\"]\n  13 -> 18 [size =\"36031488\"]\n  13 -> 19 [size =\"36031488\"]\n  14 [size=\"51448320\", alpha=\"0.09\", expect_size=\"20579328\"] \n  14 -> 18 [size =\"20579328\"]\n  14 -> 18 [size =\"20579328\"]\n  15 [size=\"72350720\", alpha=\"0.19\", expect_size=\"28940288\"] \n  15 -> 20 [size =\"28940288\"]\n  15 -> 21 [size =\"28940288\"]\n  15 -> 23 [size =\"28940288\"]\n  16 [size=\"102312960\", alpha=\"0.16\", expect_size=\"40925184\"] \n  16 -> 20 [size =\"40925184\"]\n  16 -> 21 [size =\"40925184\"]\n  17 [size=\"84172800\", alpha=\"0.18\", expect_size=\"33669120\"] \n  17 -> 21 [size =\"33669120\"]\n  17 -> 22 [size =\"33669120\"]\n  17 -> 24 [size =\"33669120\"]\n  18 [size=\"107192320\", alpha=\"0.13\", expect_size=\"42876928\"] \n  18 -> 20 [size =\"42876928\"]\n  18 -> 21 [size =\"42876928\"]\n  18 -> 23 [size =\"42876928\"]\n  19 [size=\"88373760\", alpha=\"0.13\", expect_size=\"35349504\"] \n  19 -> 20 [size =\"35349504\"]\n  19 -> 21 [size =\"35349504\"]\n  19 -> 23 [size =\"35349504\"]\n  20 [size=\"104788480\", alpha=\"0.11\", expect_size=\"41915392\"] \n  20 -> 25 [size =\"41915392\"]\n  21 [size=\"117027840\", alpha=\"0.09\", expect_size=\"46811136\"] \n  21 -> 25 [size =\"46811136\"]\n  22 [size=\"104673280\", alpha=\"0.12\", expect_size=\"41869312\"] \n  22 -> 25 [size =\"41869312\"]\n  23 [size=\"122933760\", alpha=\"0.04\", expect_size=\"49173504\"] \n  23 -> 25 [size =\"49173504\"]\n  24 [size=\"74752000\", alpha=\"0.07\", expect_size=\"29900800\"] \n  24 -> 25 [size =\"29900800\"]\n  25 [size=\"127354880\", alpha=\"0.00\", expect_size=\"50941952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117194240\", alpha=\"0.07\", expect_size=\"46877696\"] \n  1 -> 2 [size =\"46877696\"]\n  1 -> 3 [size =\"46877696\"]\n  2 [size=\"86796800\", alpha=\"0.15\", expect_size=\"34718720\"] \n  3 [size=\"88540160\", alpha=\"0.05\", expect_size=\"35416064\"] \n  3 -> 4 [size =\"35416064\"]\n  4 [size=\"73807360\", alpha=\"0.14\", expect_size=\"29522944\"] \n  4 -> 5 [size =\"29522944\"]\n  5 [size=\"114880000\", alpha=\"0.03\", expect_size=\"45952000\"] \n  5 -> 6 [size =\"45952000\"]\n  5 -> 7 [size =\"45952000\"]\n  6 [size=\"63367680\", alpha=\"0.09\", expect_size=\"25347072\"] \n  6 -> 8 [size =\"25347072\"]\n  6 -> 9 [size =\"25347072\"]\n  7 [size=\"38617600\", alpha=\"0.01\", expect_size=\"15447040\"] \n  7 -> 8 [size =\"15447040\"]\n  7 -> 9 [size =\"15447040\"]\n  8 [size=\"110039040\", alpha=\"0.01\", expect_size=\"44015616\"] \n  8 -> 10 [size =\"44015616\"]\n  8 -> 11 [size =\"44015616\"]\n  9 [size=\"24268800\", alpha=\"0.18\", expect_size=\"9707520\"] \n  9 -> 10 [size =\"9707520\"]\n  9 -> 11 [size =\"9707520\"]\n  10 [size=\"26846720\", alpha=\"0.20\", expect_size=\"10738688\"] \n  10 -> 12 [size =\"10738688\"]\n  10 -> 13 [size =\"10738688\"]\n  11 [size=\"17315840\", alpha=\"0.01\", expect_size=\"6926336\"] \n  11 -> 12 [size =\"6926336\"]\n  11 -> 13 [size =\"6926336\"]\n  12 [size=\"59368960\", alpha=\"0.08\", expect_size=\"23747584\"] \n  12 -> 14 [size =\"23747584\"]\n  13 [size=\"32140800\", alpha=\"0.04\", expect_size=\"12856320\"] \n  13 -> 14 [size =\"12856320\"]\n  14 [size=\"60933120\", alpha=\"0.16\", expect_size=\"24373248\"] \n  14 -> 15 [size =\"24373248\"]\n  15 [size=\"23308800\", alpha=\"0.18\", expect_size=\"9323520\"] \n  15 -> 16 [size =\"9323520\"]\n  16 [size=\"38328320\", alpha=\"0.07\", expect_size=\"15331328\"] \n  16 -> 17 [size =\"15331328\"]\n  16 -> 18 [size =\"15331328\"]\n  17 [size=\"91834880\", alpha=\"0.15\", expect_size=\"36733952\"] \n  17 -> 19 [size =\"36733952\"]\n  17 -> 20 [size =\"36733952\"]\n  18 [size=\"97198080\", alpha=\"0.11\", expect_size=\"38879232\"] \n  18 -> 19 [size =\"38879232\"]\n  18 -> 20 [size =\"38879232\"]\n  19 [size=\"104960000\", alpha=\"0.18\", expect_size=\"41984000\"] \n  19 -> 21 [size =\"41984000\"]\n  20 [size=\"92088320\", alpha=\"0.04\", expect_size=\"36835328\"] \n  20 -> 21 [size =\"36835328\"]\n  21 [size=\"90163200\", alpha=\"0.07\", expect_size=\"36065280\"] \n  21 -> 22 [size =\"36065280\"]\n  21 -> 23 [size =\"36065280\"]\n  22 [size=\"95892480\", alpha=\"0.03\", expect_size=\"38356992\"] \n  22 -> 24 [size =\"38356992\"]\n  23 [size=\"26598400\", alpha=\"0.12\", expect_size=\"10639360\"] \n  23 -> 24 [size =\"10639360\"]\n  24 [size=\"52531200\", alpha=\"0.11\", expect_size=\"21012480\"] \n  24 -> 25 [size =\"21012480\"]\n  25 [size=\"29888000\", alpha=\"0.07\", expect_size=\"11955200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57810944\", alpha=\"0.03\", expect_size=\"28905472\"] \n  1 -> 24 [size =\"28905472\"]\n  2 [size=\"89628672\", alpha=\"0.14\", expect_size=\"44814336\"] \n  2 -> 19 [size =\"44814336\"]\n  3 [size=\"10706944\", alpha=\"0.06\", expect_size=\"5353472\"] \n  4 [size=\"47654912\", alpha=\"0.02\", expect_size=\"23827456\"] \n  4 -> 19 [size =\"23827456\"]\n  4 -> 22 [size =\"23827456\"]\n  4 -> 25 [size =\"23827456\"]\n  5 [size=\"47032320\", alpha=\"0.15\", expect_size=\"23516160\"] \n  5 -> 19 [size =\"23516160\"]\n  5 -> 20 [size =\"23516160\"]\n  5 -> 23 [size =\"23516160\"]\n  6 [size=\"94699520\", alpha=\"0.03\", expect_size=\"47349760\"] \n  6 -> 21 [size =\"47349760\"]\n  6 -> 22 [size =\"47349760\"]\n  6 -> 25 [size =\"47349760\"]\n  7 [size=\"33828864\", alpha=\"0.03\", expect_size=\"16914432\"] \n  7 -> 22 [size =\"16914432\"]\n  7 -> 23 [size =\"16914432\"]\n  7 -> 25 [size =\"16914432\"]\n  8 [size=\"44025856\", alpha=\"0.03\", expect_size=\"22012928\"] \n  8 -> 22 [size =\"22012928\"]\n  8 -> 25 [size =\"22012928\"]\n  8 -> 25 [size =\"22012928\"]\n  9 [size=\"95676416\", alpha=\"0.17\", expect_size=\"47838208\"] \n  9 -> 25 [size =\"47838208\"]\n  10 [size=\"53229568\", alpha=\"0.10\", expect_size=\"26614784\"] \n  10 -> 19 [size =\"26614784\"]\n  10 -> 20 [size =\"26614784\"]\n  11 [size=\"89292800\", alpha=\"0.19\", expect_size=\"44646400\"] \n  11 -> 25 [size =\"44646400\"]\n  12 [size=\"103391232\", alpha=\"0.15\", expect_size=\"51695616\"] \n  13 [size=\"73652224\", alpha=\"0.18\", expect_size=\"36826112\"] \n  13 -> 19 [size =\"36826112\"]\n  13 -> 22 [size =\"36826112\"]\n  14 [size=\"99989504\", alpha=\"0.11\", expect_size=\"49994752\"] \n  14 -> 22 [size =\"49994752\"]\n  15 [size=\"16003072\", alpha=\"0.01\", expect_size=\"8001536\"] \n  15 -> 19 [size =\"8001536\"]\n  15 -> 22 [size =\"8001536\"]\n  15 -> 23 [size =\"8001536\"]\n  16 [size=\"88102912\", alpha=\"0.09\", expect_size=\"44051456\"] \n  17 [size=\"103018496\", alpha=\"0.08\", expect_size=\"51509248\"] \n  17 -> 25 [size =\"51509248\"]\n  18 [size=\"22640640\", alpha=\"0.03\", expect_size=\"11320320\"] \n  18 -> 23 [size =\"11320320\"]\n  19 [size=\"38768640\", alpha=\"0.02\", expect_size=\"19384320\"] \n  20 [size=\"22538240\", alpha=\"0.07\", expect_size=\"11269120\"] \n  21 [size=\"68161536\", alpha=\"0.02\", expect_size=\"34080768\"] \n  22 [size=\"62576640\", alpha=\"0.14\", expect_size=\"31288320\"] \n  23 [size=\"38418432\", alpha=\"0.07\", expect_size=\"19209216\"] \n  24 [size=\"30947328\", alpha=\"0.07\", expect_size=\"15473664\"] \n  25 [size=\"81274880\", alpha=\"0.14\", expect_size=\"40637440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163727360\", alpha=\"0.20\", expect_size=\"49118208\"] \n  1 -> 3 [size =\"49118208\"]\n  1 -> 4 [size =\"49118208\"]\n  2 [size=\"159484587\", alpha=\"0.01\", expect_size=\"47845376\"] \n  2 -> 4 [size =\"47845376\"]\n  3 [size=\"113537707\", alpha=\"0.03\", expect_size=\"34061312\"] \n  3 -> 5 [size =\"34061312\"]\n  4 [size=\"149319680\", alpha=\"0.01\", expect_size=\"44795904\"] \n  4 -> 5 [size =\"44795904\"]\n  5 [size=\"33239040\", alpha=\"0.18\", expect_size=\"9971712\"] \n  5 -> 6 [size =\"9971712\"]\n  5 -> 7 [size =\"9971712\"]\n  6 [size=\"145346560\", alpha=\"0.10\", expect_size=\"43603968\"] \n  6 -> 8 [size =\"43603968\"]\n  7 [size=\"148968107\", alpha=\"0.11\", expect_size=\"44690432\"] \n  7 -> 8 [size =\"44690432\"]\n  8 [size=\"36014080\", alpha=\"0.18\", expect_size=\"10804224\"] \n  8 -> 9 [size =\"10804224\"]\n  8 -> 10 [size =\"10804224\"]\n  9 [size=\"162880853\", alpha=\"0.17\", expect_size=\"48864256\"] \n  9 -> 11 [size =\"48864256\"]\n  10 [size=\"119497387\", alpha=\"0.05\", expect_size=\"35849216\"] \n  10 -> 11 [size =\"35849216\"]\n  11 [size=\"141557760\", alpha=\"0.12\", expect_size=\"42467328\"] \n  11 -> 12 [size =\"42467328\"]\n  12 [size=\"141195947\", alpha=\"0.03\", expect_size=\"42358784\"] \n  12 -> 13 [size =\"42358784\"]\n  13 [size=\"152743253\", alpha=\"0.18\", expect_size=\"45822976\"] \n  13 -> 14 [size =\"45822976\"]\n  14 [size=\"19551573\", alpha=\"0.15\", expect_size=\"5865472\"] \n  14 -> 15 [size =\"5865472\"]\n  14 -> 16 [size =\"5865472\"]\n  15 [size=\"26105173\", alpha=\"0.15\", expect_size=\"7831552\"] \n  15 -> 17 [size =\"7831552\"]\n  15 -> 18 [size =\"7831552\"]\n  16 [size=\"170755413\", alpha=\"0.18\", expect_size=\"51226624\"] \n  16 -> 17 [size =\"51226624\"]\n  16 -> 18 [size =\"51226624\"]\n  17 [size=\"95890773\", alpha=\"0.16\", expect_size=\"28767232\"] \n  17 -> 19 [size =\"28767232\"]\n  17 -> 20 [size =\"28767232\"]\n  18 [size=\"26245120\", alpha=\"0.17\", expect_size=\"7873536\"] \n  18 -> 19 [size =\"7873536\"]\n  18 -> 20 [size =\"7873536\"]\n  19 [size=\"169789440\", alpha=\"0.12\", expect_size=\"50936832\"] \n  19 -> 21 [size =\"50936832\"]\n  19 -> 22 [size =\"50936832\"]\n  20 [size=\"144390827\", alpha=\"0.15\", expect_size=\"43317248\"] \n  20 -> 21 [size =\"43317248\"]\n  20 -> 22 [size =\"43317248\"]\n  21 [size=\"28672000\", alpha=\"0.16\", expect_size=\"8601600\"] \n  21 -> 23 [size =\"8601600\"]\n  22 [size=\"122296320\", alpha=\"0.16\", expect_size=\"36688896\"] \n  22 -> 23 [size =\"36688896\"]\n  23 [size=\"148684800\", alpha=\"0.07\", expect_size=\"44605440\"] \n  23 -> 24 [size =\"44605440\"]\n  24 [size=\"130283520\", alpha=\"0.16\", expect_size=\"39085056\"] \n  24 -> 25 [size =\"39085056\"]\n  25 [size=\"89432747\", alpha=\"0.06\", expect_size=\"26829824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93308928\", alpha=\"0.01\", expect_size=\"46654464\"] \n  1 -> 2 [size =\"46654464\"]\n  1 -> 3 [size =\"46654464\"]\n  2 [size=\"15923200\", alpha=\"0.07\", expect_size=\"7961600\"] \n  2 -> 4 [size =\"7961600\"]\n  2 -> 5 [size =\"7961600\"]\n  3 [size=\"23150592\", alpha=\"0.08\", expect_size=\"11575296\"] \n  3 -> 4 [size =\"11575296\"]\n  3 -> 5 [size =\"11575296\"]\n  4 [size=\"52934656\", alpha=\"0.16\", expect_size=\"26467328\"] \n  5 [size=\"63475712\", alpha=\"0.15\", expect_size=\"31737856\"] \n  5 -> 6 [size =\"31737856\"]\n  5 -> 7 [size =\"31737856\"]\n  6 [size=\"29837312\", alpha=\"0.03\", expect_size=\"14918656\"] \n  6 -> 8 [size =\"14918656\"]\n  7 [size=\"48232448\", alpha=\"0.09\", expect_size=\"24116224\"] \n  7 -> 8 [size =\"24116224\"]\n  8 [size=\"94029824\", alpha=\"0.01\", expect_size=\"47014912\"] \n  8 -> 9 [size =\"47014912\"]\n  9 [size=\"32249856\", alpha=\"0.05\", expect_size=\"16124928\"] \n  9 -> 10 [size =\"16124928\"]\n  10 [size=\"50012160\", alpha=\"0.17\", expect_size=\"25006080\"] \n  10 -> 11 [size =\"25006080\"]\n  10 -> 12 [size =\"25006080\"]\n  11 [size=\"40284160\", alpha=\"0.11\", expect_size=\"20142080\"] \n  11 -> 13 [size =\"20142080\"]\n  12 [size=\"44169216\", alpha=\"0.03\", expect_size=\"22084608\"] \n  12 -> 13 [size =\"22084608\"]\n  13 [size=\"79362048\", alpha=\"0.20\", expect_size=\"39681024\"] \n  13 -> 14 [size =\"39681024\"]\n  14 [size=\"23599104\", alpha=\"0.10\", expect_size=\"11799552\"] \n  14 -> 15 [size =\"11799552\"]\n  15 [size=\"100907008\", alpha=\"0.12\", expect_size=\"50453504\"] \n  15 -> 16 [size =\"50453504\"]\n  15 -> 17 [size =\"50453504\"]\n  16 [size=\"78301184\", alpha=\"0.00\", expect_size=\"39150592\"] \n  16 -> 18 [size =\"39150592\"]\n  17 [size=\"90822656\", alpha=\"0.04\", expect_size=\"45411328\"] \n  18 [size=\"40456192\", alpha=\"0.14\", expect_size=\"20228096\"] \n  18 -> 19 [size =\"20228096\"]\n  19 [size=\"46620672\", alpha=\"0.13\", expect_size=\"23310336\"] \n  19 -> 20 [size =\"23310336\"]\n  20 [size=\"72292352\", alpha=\"0.16\", expect_size=\"36146176\"] \n  20 -> 21 [size =\"36146176\"]\n  21 [size=\"59394048\", alpha=\"0.18\", expect_size=\"29697024\"] \n  21 -> 22 [size =\"29697024\"]\n  22 [size=\"18995200\", alpha=\"0.00\", expect_size=\"9497600\"] \n  22 -> 23 [size =\"9497600\"]\n  22 -> 24 [size =\"9497600\"]\n  23 [size=\"33984512\", alpha=\"0.05\", expect_size=\"16992256\"] \n  23 -> 25 [size =\"16992256\"]\n  24 [size=\"32935936\", alpha=\"0.19\", expect_size=\"16467968\"] \n  24 -> 25 [size =\"16467968\"]\n  25 [size=\"80084992\", alpha=\"0.05\", expect_size=\"40042496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66553856\", alpha=\"0.15\", expect_size=\"33276928\"] \n  1 -> 2 [size =\"33276928\"]\n  2 [size=\"29851648\", alpha=\"0.05\", expect_size=\"14925824\"] \n  2 -> 3 [size =\"14925824\"]\n  3 [size=\"38361088\", alpha=\"0.19\", expect_size=\"19180544\"] \n  3 -> 4 [size =\"19180544\"]\n  4 [size=\"13760512\", alpha=\"0.04\", expect_size=\"6880256\"] \n  4 -> 5 [size =\"6880256\"]\n  5 [size=\"84457472\", alpha=\"0.18\", expect_size=\"42228736\"] \n  5 -> 6 [size =\"42228736\"]\n  6 [size=\"38957056\", alpha=\"0.19\", expect_size=\"19478528\"] \n  6 -> 7 [size =\"19478528\"]\n  7 [size=\"12595200\", alpha=\"0.16\", expect_size=\"6297600\"] \n  7 -> 8 [size =\"6297600\"]\n  8 [size=\"91512832\", alpha=\"0.05\", expect_size=\"45756416\"] \n  8 -> 9 [size =\"45756416\"]\n  9 [size=\"63924224\", alpha=\"0.16\", expect_size=\"31962112\"] \n  9 -> 10 [size =\"31962112\"]\n  10 [size=\"79990784\", alpha=\"0.13\", expect_size=\"39995392\"] \n  10 -> 11 [size =\"39995392\"]\n  11 [size=\"48148480\", alpha=\"0.18\", expect_size=\"24074240\"] \n  11 -> 12 [size =\"24074240\"]\n  12 [size=\"23166976\", alpha=\"0.03\", expect_size=\"11583488\"] \n  12 -> 13 [size =\"11583488\"]\n  13 [size=\"45873152\", alpha=\"0.08\", expect_size=\"22936576\"] \n  13 -> 14 [size =\"22936576\"]\n  14 [size=\"41646080\", alpha=\"0.11\", expect_size=\"20823040\"] \n  14 -> 15 [size =\"20823040\"]\n  15 [size=\"58646528\", alpha=\"0.11\", expect_size=\"29323264\"] \n  15 -> 16 [size =\"29323264\"]\n  16 [size=\"49971200\", alpha=\"0.07\", expect_size=\"24985600\"] \n  16 -> 17 [size =\"24985600\"]\n  17 [size=\"45617152\", alpha=\"0.00\", expect_size=\"22808576\"] \n  17 -> 18 [size =\"22808576\"]\n  18 [size=\"27942912\", alpha=\"0.13\", expect_size=\"13971456\"] \n  18 -> 19 [size =\"13971456\"]\n  19 [size=\"53258240\", alpha=\"0.02\", expect_size=\"26629120\"] \n  19 -> 20 [size =\"26629120\"]\n  20 [size=\"35538944\", alpha=\"0.11\", expect_size=\"17769472\"] \n  20 -> 21 [size =\"17769472\"]\n  21 [size=\"97878016\", alpha=\"0.11\", expect_size=\"48939008\"] \n  21 -> 22 [size =\"48939008\"]\n  22 [size=\"89593856\", alpha=\"0.16\", expect_size=\"44796928\"] \n  22 -> 23 [size =\"44796928\"]\n  23 [size=\"102049792\", alpha=\"0.06\", expect_size=\"51024896\"] \n  23 -> 24 [size =\"51024896\"]\n  24 [size=\"44296192\", alpha=\"0.17\", expect_size=\"22148096\"] \n  24 -> 25 [size =\"22148096\"]\n  25 [size=\"94466048\", alpha=\"0.03\", expect_size=\"47233024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89921536\", alpha=\"0.17\", expect_size=\"44960768\"] \n  1 -> 6 [size =\"44960768\"]\n  2 [size=\"45660160\", alpha=\"0.19\", expect_size=\"22830080\"] \n  2 -> 5 [size =\"22830080\"]\n  2 -> 7 [size =\"22830080\"]\n  3 [size=\"43094016\", alpha=\"0.07\", expect_size=\"21547008\"] \n  3 -> 5 [size =\"21547008\"]\n  3 -> 7 [size =\"21547008\"]\n  4 [size=\"103725056\", alpha=\"0.13\", expect_size=\"51862528\"] \n  5 [size=\"75898880\", alpha=\"0.08\", expect_size=\"37949440\"] \n  5 -> 8 [size =\"37949440\"]\n  5 -> 9 [size =\"37949440\"]\n  5 -> 10 [size =\"37949440\"]\n  6 [size=\"66699264\", alpha=\"0.01\", expect_size=\"33349632\"] \n  6 -> 9 [size =\"33349632\"]\n  6 -> 10 [size =\"33349632\"]\n  6 -> 10 [size =\"33349632\"]\n  7 [size=\"74381312\", alpha=\"0.08\", expect_size=\"37190656\"] \n  7 -> 9 [size =\"37190656\"]\n  8 [size=\"91117568\", alpha=\"0.04\", expect_size=\"45558784\"] \n  8 -> 12 [size =\"45558784\"]\n  8 -> 13 [size =\"45558784\"]\n  8 -> 14 [size =\"45558784\"]\n  9 [size=\"31074304\", alpha=\"0.02\", expect_size=\"15537152\"] \n  9 -> 11 [size =\"15537152\"]\n  9 -> 12 [size =\"15537152\"]\n  9 -> 13 [size =\"15537152\"]\n  9 -> 14 [size =\"15537152\"]\n  10 [size=\"55369728\", alpha=\"0.11\", expect_size=\"27684864\"] \n  10 -> 12 [size =\"27684864\"]\n  10 -> 13 [size =\"27684864\"]\n  10 -> 14 [size =\"27684864\"]\n  11 [size=\"51568640\", alpha=\"0.15\", expect_size=\"25784320\"] \n  11 -> 15 [size =\"25784320\"]\n  11 -> 16 [size =\"25784320\"]\n  11 -> 17 [size =\"25784320\"]\n  12 [size=\"36626432\", alpha=\"0.16\", expect_size=\"18313216\"] \n  12 -> 17 [size =\"18313216\"]\n  13 [size=\"29814784\", alpha=\"0.11\", expect_size=\"14907392\"] \n  13 -> 15 [size =\"14907392\"]\n  13 -> 17 [size =\"14907392\"]\n  14 [size=\"64024576\", alpha=\"0.13\", expect_size=\"32012288\"] \n  14 -> 15 [size =\"32012288\"]\n  14 -> 16 [size =\"32012288\"]\n  14 -> 17 [size =\"32012288\"]\n  15 [size=\"30060544\", alpha=\"0.19\", expect_size=\"15030272\"] \n  15 -> 18 [size =\"15030272\"]\n  15 -> 19 [size =\"15030272\"]\n  15 -> 20 [size =\"15030272\"]\n  16 [size=\"65812480\", alpha=\"0.12\", expect_size=\"32906240\"] \n  16 -> 18 [size =\"32906240\"]\n  16 -> 19 [size =\"32906240\"]\n  17 [size=\"71817216\", alpha=\"0.15\", expect_size=\"35908608\"] \n  17 -> 18 [size =\"35908608\"]\n  17 -> 19 [size =\"35908608\"]\n  17 -> 20 [size =\"35908608\"]\n  18 [size=\"15570944\", alpha=\"0.04\", expect_size=\"7785472\"] \n  18 -> 21 [size =\"7785472\"]\n  18 -> 22 [size =\"7785472\"]\n  18 -> 23 [size =\"7785472\"]\n  19 [size=\"35796992\", alpha=\"0.01\", expect_size=\"17898496\"] \n  19 -> 21 [size =\"17898496\"]\n  19 -> 22 [size =\"17898496\"]\n  20 [size=\"45037568\", alpha=\"0.00\", expect_size=\"22518784\"] \n  20 -> 21 [size =\"22518784\"]\n  20 -> 22 [size =\"22518784\"]\n  21 [size=\"99209216\", alpha=\"0.17\", expect_size=\"49604608\"] \n  21 -> 24 [size =\"49604608\"]\n  21 -> 25 [size =\"49604608\"]\n  22 [size=\"77225984\", alpha=\"0.01\", expect_size=\"38612992\"] \n  22 -> 24 [size =\"38612992\"]\n  22 -> 25 [size =\"38612992\"]\n  23 [size=\"58095616\", alpha=\"0.11\", expect_size=\"29047808\"] \n  23 -> 24 [size =\"29047808\"]\n  23 -> 25 [size =\"29047808\"]\n  24 [size=\"16658432\", alpha=\"0.02\", expect_size=\"8329216\"] \n  25 [size=\"79380480\", alpha=\"0.06\", expect_size=\"39690240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130478080\", alpha=\"0.10\", expect_size=\"39143424\"] \n  1 -> 4 [size =\"39143424\"]\n  2 [size=\"167680000\", alpha=\"0.08\", expect_size=\"50304000\"] \n  2 -> 3 [size =\"50304000\"]\n  3 [size=\"60528640\", alpha=\"0.02\", expect_size=\"18158592\"] \n  3 -> 5 [size =\"18158592\"]\n  4 [size=\"97553067\", alpha=\"0.10\", expect_size=\"29265920\"] \n  5 [size=\"107588267\", alpha=\"0.04\", expect_size=\"32276480\"] \n  5 -> 6 [size =\"32276480\"]\n  5 -> 7 [size =\"32276480\"]\n  6 [size=\"32614400\", alpha=\"0.12\", expect_size=\"9784320\"] \n  6 -> 8 [size =\"9784320\"]\n  7 [size=\"114278400\", alpha=\"0.14\", expect_size=\"34283520\"] \n  7 -> 9 [size =\"34283520\"]\n  8 [size=\"65897813\", alpha=\"0.03\", expect_size=\"19769344\"] \n  9 [size=\"43154773\", alpha=\"0.07\", expect_size=\"12946432\"] \n  9 -> 10 [size =\"12946432\"]\n  10 [size=\"172803413\", alpha=\"0.14\", expect_size=\"51841024\"] \n  10 -> 11 [size =\"51841024\"]\n  10 -> 12 [size =\"51841024\"]\n  11 [size=\"42656427\", alpha=\"0.14\", expect_size=\"12796928\"] \n  12 [size=\"117783893\", alpha=\"0.10\", expect_size=\"35335168\"] \n  12 -> 13 [size =\"35335168\"]\n  12 -> 14 [size =\"35335168\"]\n  13 [size=\"20797440\", alpha=\"0.17\", expect_size=\"6239232\"] \n  14 [size=\"32740693\", alpha=\"0.08\", expect_size=\"9822208\"] \n  14 -> 15 [size =\"9822208\"]\n  15 [size=\"113056427\", alpha=\"0.18\", expect_size=\"33916928\"] \n  15 -> 16 [size =\"33916928\"]\n  15 -> 17 [size =\"33916928\"]\n  16 [size=\"143882240\", alpha=\"0.01\", expect_size=\"43164672\"] \n  16 -> 19 [size =\"43164672\"]\n  17 [size=\"83872427\", alpha=\"0.16\", expect_size=\"25161728\"] \n  17 -> 18 [size =\"25161728\"]\n  18 [size=\"40369493\", alpha=\"0.02\", expect_size=\"12110848\"] \n  18 -> 20 [size =\"12110848\"]\n  19 [size=\"67010560\", alpha=\"0.06\", expect_size=\"20103168\"] \n  20 [size=\"123327147\", alpha=\"0.10\", expect_size=\"36998144\"] \n  20 -> 21 [size =\"36998144\"]\n  20 -> 22 [size =\"36998144\"]\n  21 [size=\"72642560\", alpha=\"0.08\", expect_size=\"21792768\"] \n  22 [size=\"22917120\", alpha=\"0.06\", expect_size=\"6875136\"] \n  22 -> 23 [size =\"6875136\"]\n  23 [size=\"103086080\", alpha=\"0.09\", expect_size=\"30925824\"] \n  23 -> 24 [size =\"30925824\"]\n  24 [size=\"76926293\", alpha=\"0.02\", expect_size=\"23077888\"] \n  24 -> 25 [size =\"23077888\"]\n  25 [size=\"142083413\", alpha=\"0.06\", expect_size=\"42625024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117852160\", alpha=\"0.01\", expect_size=\"35355648\"] \n  1 -> 5 [size =\"35355648\"]\n  1 -> 6 [size =\"35355648\"]\n  2 [size=\"76888747\", alpha=\"0.13\", expect_size=\"23066624\"] \n  2 -> 4 [size =\"23066624\"]\n  3 [size=\"38389760\", alpha=\"0.02\", expect_size=\"11516928\"] \n  3 -> 6 [size =\"11516928\"]\n  3 -> 7 [size =\"11516928\"]\n  4 [size=\"109772800\", alpha=\"0.17\", expect_size=\"32931840\"] \n  4 -> 11 [size =\"32931840\"]\n  5 [size=\"140974080\", alpha=\"0.10\", expect_size=\"42292224\"] \n  5 -> 9 [size =\"42292224\"]\n  5 -> 10 [size =\"42292224\"]\n  5 -> 11 [size =\"42292224\"]\n  6 [size=\"125624320\", alpha=\"0.01\", expect_size=\"37687296\"] \n  6 -> 8 [size =\"37687296\"]\n  6 -> 10 [size =\"37687296\"]\n  6 -> 11 [size =\"37687296\"]\n  7 [size=\"171315200\", alpha=\"0.08\", expect_size=\"51394560\"] \n  7 -> 8 [size =\"51394560\"]\n  8 [size=\"60088320\", alpha=\"0.19\", expect_size=\"18026496\"] \n  8 -> 13 [size =\"18026496\"]\n  8 -> 15 [size =\"18026496\"]\n  8 -> 15 [size =\"18026496\"]\n  9 [size=\"98334720\", alpha=\"0.10\", expect_size=\"29500416\"] \n  10 [size=\"45356373\", alpha=\"0.11\", expect_size=\"13606912\"] \n  10 -> 12 [size =\"13606912\"]\n  10 -> 13 [size =\"13606912\"]\n  11 [size=\"32610987\", alpha=\"0.12\", expect_size=\"9783296\"] \n  11 -> 13 [size =\"9783296\"]\n  11 -> 14 [size =\"9783296\"]\n  11 -> 15 [size =\"9783296\"]\n  12 [size=\"37362347\", alpha=\"0.12\", expect_size=\"11208704\"] \n  12 -> 18 [size =\"11208704\"]\n  13 [size=\"136994133\", alpha=\"0.18\", expect_size=\"41098240\"] \n  14 [size=\"152657920\", alpha=\"0.09\", expect_size=\"45797376\"] \n  14 -> 16 [size =\"45797376\"]\n  14 -> 18 [size =\"45797376\"]\n  15 [size=\"132741120\", alpha=\"0.19\", expect_size=\"39822336\"] \n  15 -> 17 [size =\"39822336\"]\n  16 [size=\"54548480\", alpha=\"0.10\", expect_size=\"16364544\"] \n  17 [size=\"62115840\", alpha=\"0.10\", expect_size=\"18634752\"] \n  17 -> 20 [size =\"18634752\"]\n  18 [size=\"127679147\", alpha=\"0.12\", expect_size=\"38303744\"] \n  18 -> 19 [size =\"38303744\"]\n  19 [size=\"119142400\", alpha=\"0.04\", expect_size=\"35742720\"] \n  19 -> 21 [size =\"35742720\"]\n  19 -> 23 [size =\"35742720\"]\n  19 -> 25 [size =\"35742720\"]\n  20 [size=\"36761600\", alpha=\"0.07\", expect_size=\"11028480\"] \n  20 -> 21 [size =\"11028480\"]\n  20 -> 22 [size =\"11028480\"]\n  20 -> 24 [size =\"11028480\"]\n  21 [size=\"119487147\", alpha=\"0.02\", expect_size=\"35846144\"] \n  22 [size=\"54435840\", alpha=\"0.04\", expect_size=\"16330752\"] \n  23 [size=\"149261653\", alpha=\"0.09\", expect_size=\"44778496\"] \n  24 [size=\"135164587\", alpha=\"0.06\", expect_size=\"40549376\"] \n  25 [size=\"48680960\", alpha=\"0.19\", expect_size=\"14604288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86759424\", alpha=\"0.00\", expect_size=\"43379712\"] \n  1 -> 12 [size =\"43379712\"]\n  1 -> 13 [size =\"43379712\"]\n  1 -> 14 [size =\"43379712\"]\n  1 -> 15 [size =\"43379712\"]\n  1 -> 17 [size =\"43379712\"]\n  2 [size=\"24344576\", alpha=\"0.04\", expect_size=\"12172288\"] \n  2 -> 10 [size =\"12172288\"]\n  2 -> 11 [size =\"12172288\"]\n  2 -> 12 [size =\"12172288\"]\n  2 -> 13 [size =\"12172288\"]\n  2 -> 15 [size =\"12172288\"]\n  2 -> 17 [size =\"12172288\"]\n  3 [size=\"29982720\", alpha=\"0.17\", expect_size=\"14991360\"] \n  3 -> 10 [size =\"14991360\"]\n  3 -> 12 [size =\"14991360\"]\n  3 -> 13 [size =\"14991360\"]\n  3 -> 14 [size =\"14991360\"]\n  3 -> 15 [size =\"14991360\"]\n  4 [size=\"52451328\", alpha=\"0.06\", expect_size=\"26225664\"] \n  4 -> 11 [size =\"26225664\"]\n  4 -> 12 [size =\"26225664\"]\n  4 -> 13 [size =\"26225664\"]\n  4 -> 15 [size =\"26225664\"]\n  4 -> 17 [size =\"26225664\"]\n  5 [size=\"13266944\", alpha=\"0.02\", expect_size=\"6633472\"] \n  5 -> 17 [size =\"6633472\"]\n  6 [size=\"36251648\", alpha=\"0.03\", expect_size=\"18125824\"] \n  6 -> 11 [size =\"18125824\"]\n  7 [size=\"22540288\", alpha=\"0.07\", expect_size=\"11270144\"] \n  7 -> 12 [size =\"11270144\"]\n  7 -> 15 [size =\"11270144\"]\n  8 [size=\"13101056\", alpha=\"0.19\", expect_size=\"6550528\"] \n  8 -> 11 [size =\"6550528\"]\n  8 -> 13 [size =\"6550528\"]\n  8 -> 14 [size =\"6550528\"]\n  8 -> 15 [size =\"6550528\"]\n  9 [size=\"41932800\", alpha=\"0.05\", expect_size=\"20966400\"] \n  9 -> 13 [size =\"20966400\"]\n  9 -> 14 [size =\"20966400\"]\n  9 -> 15 [size =\"20966400\"]\n  9 -> 15 [size =\"20966400\"]\n  9 -> 16 [size =\"20966400\"]\n  10 [size=\"30234624\", alpha=\"0.12\", expect_size=\"15117312\"] \n  10 -> 20 [size =\"15117312\"]\n  10 -> 21 [size =\"15117312\"]\n  10 -> 24 [size =\"15117312\"]\n  11 [size=\"90945536\", alpha=\"0.20\", expect_size=\"45472768\"] \n  11 -> 19 [size =\"45472768\"]\n  11 -> 20 [size =\"45472768\"]\n  11 -> 21 [size =\"45472768\"]\n  11 -> 24 [size =\"45472768\"]\n  12 [size=\"91004928\", alpha=\"0.15\", expect_size=\"45502464\"] \n  12 -> 18 [size =\"45502464\"]\n  12 -> 19 [size =\"45502464\"]\n  12 -> 20 [size =\"45502464\"]\n  12 -> 22 [size =\"45502464\"]\n  12 -> 23 [size =\"45502464\"]\n  13 [size=\"13885440\", alpha=\"0.03\", expect_size=\"6942720\"] \n  13 -> 18 [size =\"6942720\"]\n  13 -> 19 [size =\"6942720\"]\n  13 -> 20 [size =\"6942720\"]\n  13 -> 21 [size =\"6942720\"]\n  13 -> 22 [size =\"6942720\"]\n  13 -> 24 [size =\"6942720\"]\n  14 [size=\"94492672\", alpha=\"0.08\", expect_size=\"47246336\"] \n  14 -> 19 [size =\"47246336\"]\n  14 -> 19 [size =\"47246336\"]\n  14 -> 20 [size =\"47246336\"]\n  14 -> 23 [size =\"47246336\"]\n  14 -> 25 [size =\"47246336\"]\n  15 [size=\"29145088\", alpha=\"0.07\", expect_size=\"14572544\"] \n  15 -> 18 [size =\"14572544\"]\n  15 -> 22 [size =\"14572544\"]\n  15 -> 23 [size =\"14572544\"]\n  16 [size=\"37523456\", alpha=\"0.20\", expect_size=\"18761728\"] \n  16 -> 19 [size =\"18761728\"]\n  16 -> 23 [size =\"18761728\"]\n  16 -> 24 [size =\"18761728\"]\n  16 -> 25 [size =\"18761728\"]\n  17 [size=\"51281920\", alpha=\"0.12\", expect_size=\"25640960\"] \n  17 -> 19 [size =\"25640960\"]\n  17 -> 23 [size =\"25640960\"]\n  18 [size=\"83818496\", alpha=\"0.01\", expect_size=\"41909248\"] \n  19 [size=\"80295936\", alpha=\"0.11\", expect_size=\"40147968\"] \n  20 [size=\"11390976\", alpha=\"0.20\", expect_size=\"5695488\"] \n  21 [size=\"69748736\", alpha=\"0.05\", expect_size=\"34874368\"] \n  22 [size=\"68554752\", alpha=\"0.13\", expect_size=\"34277376\"] \n  23 [size=\"42676224\", alpha=\"0.05\", expect_size=\"21338112\"] \n  24 [size=\"55334912\", alpha=\"0.06\", expect_size=\"27667456\"] \n  25 [size=\"91578368\", alpha=\"0.08\", expect_size=\"45789184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88388267\", alpha=\"0.09\", expect_size=\"26516480\"] \n  1 -> 9 [size =\"26516480\"]\n  1 -> 9 [size =\"26516480\"]\n  1 -> 10 [size =\"26516480\"]\n  1 -> 11 [size =\"26516480\"]\n  1 -> 13 [size =\"26516480\"]\n  1 -> 14 [size =\"26516480\"]\n  1 -> 15 [size =\"26516480\"]\n  1 -> 16 [size =\"26516480\"]\n  2 [size=\"75939840\", alpha=\"0.06\", expect_size=\"22781952\"] \n  2 -> 7 [size =\"22781952\"]\n  2 -> 15 [size =\"22781952\"]\n  3 [size=\"155767467\", alpha=\"0.14\", expect_size=\"46730240\"] \n  3 -> 8 [size =\"46730240\"]\n  3 -> 11 [size =\"46730240\"]\n  3 -> 14 [size =\"46730240\"]\n  4 [size=\"56971947\", alpha=\"0.16\", expect_size=\"17091584\"] \n  4 -> 8 [size =\"17091584\"]\n  4 -> 10 [size =\"17091584\"]\n  4 -> 11 [size =\"17091584\"]\n  4 -> 12 [size =\"17091584\"]\n  4 -> 13 [size =\"17091584\"]\n  4 -> 14 [size =\"17091584\"]\n  5 [size=\"88746667\", alpha=\"0.02\", expect_size=\"26624000\"] \n  5 -> 8 [size =\"26624000\"]\n  5 -> 9 [size =\"26624000\"]\n  5 -> 10 [size =\"26624000\"]\n  5 -> 12 [size =\"26624000\"]\n  5 -> 13 [size =\"26624000\"]\n  5 -> 16 [size =\"26624000\"]\n  6 [size=\"122002773\", alpha=\"0.06\", expect_size=\"36600832\"] \n  6 -> 8 [size =\"36600832\"]\n  6 -> 9 [size =\"36600832\"]\n  6 -> 10 [size =\"36600832\"]\n  6 -> 11 [size =\"36600832\"]\n  6 -> 13 [size =\"36600832\"]\n  6 -> 15 [size =\"36600832\"]\n  6 -> 16 [size =\"36600832\"]\n  7 [size=\"134191787\", alpha=\"0.02\", expect_size=\"40257536\"] \n  7 -> 18 [size =\"40257536\"]\n  7 -> 19 [size =\"40257536\"]\n  7 -> 20 [size =\"40257536\"]\n  7 -> 22 [size =\"40257536\"]\n  7 -> 24 [size =\"40257536\"]\n  7 -> 25 [size =\"40257536\"]\n  8 [size=\"95115947\", alpha=\"0.08\", expect_size=\"28534784\"] \n  8 -> 18 [size =\"28534784\"]\n  8 -> 24 [size =\"28534784\"]\n  8 -> 25 [size =\"28534784\"]\n  9 [size=\"53940907\", alpha=\"0.18\", expect_size=\"16182272\"] \n  9 -> 18 [size =\"16182272\"]\n  9 -> 21 [size =\"16182272\"]\n  9 -> 22 [size =\"16182272\"]\n  9 -> 24 [size =\"16182272\"]\n  10 [size=\"166888107\", alpha=\"0.12\", expect_size=\"50066432\"] \n  10 -> 19 [size =\"50066432\"]\n  11 [size=\"127511893\", alpha=\"0.16\", expect_size=\"38253568\"] \n  12 [size=\"39973547\", alpha=\"0.13\", expect_size=\"11992064\"] \n  12 -> 18 [size =\"11992064\"]\n  12 -> 21 [size =\"11992064\"]\n  12 -> 22 [size =\"11992064\"]\n  12 -> 24 [size =\"11992064\"]\n  12 -> 25 [size =\"11992064\"]\n  13 [size=\"86391467\", alpha=\"0.12\", expect_size=\"25917440\"] \n  13 -> 19 [size =\"25917440\"]\n  13 -> 22 [size =\"25917440\"]\n  13 -> 24 [size =\"25917440\"]\n  13 -> 24 [size =\"25917440\"]\n  13 -> 25 [size =\"25917440\"]\n  14 [size=\"35979947\", alpha=\"0.19\", expect_size=\"10793984\"] \n  14 -> 17 [size =\"10793984\"]\n  14 -> 19 [size =\"10793984\"]\n  14 -> 20 [size =\"10793984\"]\n  14 -> 23 [size =\"10793984\"]\n  14 -> 24 [size =\"10793984\"]\n  14 -> 25 [size =\"10793984\"]\n  15 [size=\"160641707\", alpha=\"0.05\", expect_size=\"48192512\"] \n  16 [size=\"22142293\", alpha=\"0.14\", expect_size=\"6642688\"] \n  16 -> 17 [size =\"6642688\"]\n  16 -> 19 [size =\"6642688\"]\n  16 -> 23 [size =\"6642688\"]\n  16 -> 25 [size =\"6642688\"]\n  17 [size=\"68239360\", alpha=\"0.15\", expect_size=\"20471808\"] \n  18 [size=\"82418347\", alpha=\"0.13\", expect_size=\"24725504\"] \n  19 [size=\"143141547\", alpha=\"0.17\", expect_size=\"42942464\"] \n  20 [size=\"127781547\", alpha=\"0.04\", expect_size=\"38334464\"] \n  21 [size=\"61440000\", alpha=\"0.00\", expect_size=\"18432000\"] \n  22 [size=\"32621227\", alpha=\"0.04\", expect_size=\"9786368\"] \n  23 [size=\"134423893\", alpha=\"0.05\", expect_size=\"40327168\"] \n  24 [size=\"67904853\", alpha=\"0.12\", expect_size=\"20371456\"] \n  25 [size=\"57494187\", alpha=\"0.07\", expect_size=\"17248256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62581760\", alpha=\"0.11\", expect_size=\"25032704\"] \n  1 -> 4 [size =\"25032704\"]\n  1 -> 5 [size =\"25032704\"]\n  2 [size=\"124864000\", alpha=\"0.01\", expect_size=\"49945600\"] \n  3 [size=\"126172160\", alpha=\"0.07\", expect_size=\"50468864\"] \n  3 -> 4 [size =\"50468864\"]\n  3 -> 5 [size =\"50468864\"]\n  4 [size=\"35955200\", alpha=\"0.11\", expect_size=\"14382080\"] \n  4 -> 6 [size =\"14382080\"]\n  4 -> 7 [size =\"14382080\"]\n  4 -> 8 [size =\"14382080\"]\n  4 -> 9 [size =\"14382080\"]\n  4 -> 10 [size =\"14382080\"]\n  5 [size=\"104675840\", alpha=\"0.07\", expect_size=\"41870336\"] \n  5 -> 6 [size =\"41870336\"]\n  5 -> 7 [size =\"41870336\"]\n  5 -> 9 [size =\"41870336\"]\n  6 [size=\"122547200\", alpha=\"0.09\", expect_size=\"49018880\"] \n  6 -> 13 [size =\"49018880\"]\n  7 [size=\"117025280\", alpha=\"0.12\", expect_size=\"46810112\"] \n  7 -> 11 [size =\"46810112\"]\n  7 -> 14 [size =\"46810112\"]\n  8 [size=\"55272960\", alpha=\"0.14\", expect_size=\"22109184\"] \n  8 -> 11 [size =\"22109184\"]\n  8 -> 14 [size =\"22109184\"]\n  9 [size=\"102274560\", alpha=\"0.11\", expect_size=\"40909824\"] \n  9 -> 11 [size =\"40909824\"]\n  9 -> 12 [size =\"40909824\"]\n  9 -> 13 [size =\"40909824\"]\n  9 -> 14 [size =\"40909824\"]\n  10 [size=\"53880320\", alpha=\"0.08\", expect_size=\"21552128\"] \n  10 -> 11 [size =\"21552128\"]\n  10 -> 13 [size =\"21552128\"]\n  10 -> 14 [size =\"21552128\"]\n  11 [size=\"64757760\", alpha=\"0.06\", expect_size=\"25903104\"] \n  11 -> 17 [size =\"25903104\"]\n  11 -> 17 [size =\"25903104\"]\n  12 [size=\"129264640\", alpha=\"0.07\", expect_size=\"51705856\"] \n  12 -> 18 [size =\"51705856\"]\n  13 [size=\"17402880\", alpha=\"0.02\", expect_size=\"6961152\"] \n  13 -> 15 [size =\"6961152\"]\n  13 -> 16 [size =\"6961152\"]\n  13 -> 18 [size =\"6961152\"]\n  14 [size=\"61066240\", alpha=\"0.05\", expect_size=\"24426496\"] \n  14 -> 15 [size =\"24426496\"]\n  14 -> 17 [size =\"24426496\"]\n  15 [size=\"125777920\", alpha=\"0.04\", expect_size=\"50311168\"] \n  15 -> 19 [size =\"50311168\"]\n  15 -> 20 [size =\"50311168\"]\n  15 -> 22 [size =\"50311168\"]\n  16 [size=\"48852480\", alpha=\"0.10\", expect_size=\"19540992\"] \n  16 -> 22 [size =\"19540992\"]\n  16 -> 23 [size =\"19540992\"]\n  17 [size=\"101928960\", alpha=\"0.16\", expect_size=\"40771584\"] \n  17 -> 19 [size =\"40771584\"]\n  17 -> 22 [size =\"40771584\"]\n  17 -> 23 [size =\"40771584\"]\n  18 [size=\"57064960\", alpha=\"0.07\", expect_size=\"22825984\"] \n  18 -> 19 [size =\"22825984\"]\n  18 -> 21 [size =\"22825984\"]\n  18 -> 23 [size =\"22825984\"]\n  19 [size=\"19138560\", alpha=\"0.18\", expect_size=\"7655424\"] \n  20 [size=\"82019840\", alpha=\"0.00\", expect_size=\"32807936\"] \n  21 [size=\"13324800\", alpha=\"0.11\", expect_size=\"5329920\"] \n  22 [size=\"51463680\", alpha=\"0.01\", expect_size=\"20585472\"] \n  22 -> 24 [size =\"20585472\"]\n  23 [size=\"89922560\", alpha=\"0.11\", expect_size=\"35969024\"] \n  23 -> 25 [size =\"35969024\"]\n  24 [size=\"101857280\", alpha=\"0.04\", expect_size=\"40742912\"] \n  25 [size=\"13194240\", alpha=\"0.12\", expect_size=\"5277696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37224448\", alpha=\"0.13\", expect_size=\"18612224\"] \n  1 -> 3 [size =\"18612224\"]\n  1 -> 4 [size =\"18612224\"]\n  2 [size=\"50814976\", alpha=\"0.01\", expect_size=\"25407488\"] \n  2 -> 4 [size =\"25407488\"]\n  3 [size=\"52637696\", alpha=\"0.01\", expect_size=\"26318848\"] \n  3 -> 5 [size =\"26318848\"]\n  4 [size=\"47943680\", alpha=\"0.14\", expect_size=\"23971840\"] \n  4 -> 5 [size =\"23971840\"]\n  4 -> 6 [size =\"23971840\"]\n  5 [size=\"104417280\", alpha=\"0.03\", expect_size=\"52208640\"] \n  5 -> 8 [size =\"52208640\"]\n  6 [size=\"47415296\", alpha=\"0.19\", expect_size=\"23707648\"] \n  6 -> 7 [size =\"23707648\"]\n  6 -> 8 [size =\"23707648\"]\n  7 [size=\"43173888\", alpha=\"0.19\", expect_size=\"21586944\"] \n  7 -> 9 [size =\"21586944\"]\n  7 -> 10 [size =\"21586944\"]\n  8 [size=\"26236928\", alpha=\"0.09\", expect_size=\"13118464\"] \n  8 -> 9 [size =\"13118464\"]\n  8 -> 10 [size =\"13118464\"]\n  9 [size=\"74340352\", alpha=\"0.18\", expect_size=\"37170176\"] \n  9 -> 12 [size =\"37170176\"]\n  10 [size=\"104382464\", alpha=\"0.19\", expect_size=\"52191232\"] \n  10 -> 11 [size =\"52191232\"]\n  10 -> 12 [size =\"52191232\"]\n  11 [size=\"33478656\", alpha=\"0.00\", expect_size=\"16739328\"] \n  11 -> 13 [size =\"16739328\"]\n  12 [size=\"96176128\", alpha=\"0.12\", expect_size=\"48088064\"] \n  12 -> 13 [size =\"48088064\"]\n  13 [size=\"102621184\", alpha=\"0.19\", expect_size=\"51310592\"] \n  13 -> 14 [size =\"51310592\"]\n  13 -> 15 [size =\"51310592\"]\n  14 [size=\"13717504\", alpha=\"0.05\", expect_size=\"6858752\"] \n  14 -> 16 [size =\"6858752\"]\n  14 -> 17 [size =\"6858752\"]\n  15 [size=\"80310272\", alpha=\"0.06\", expect_size=\"40155136\"] \n  15 -> 16 [size =\"40155136\"]\n  15 -> 17 [size =\"40155136\"]\n  16 [size=\"93048832\", alpha=\"0.19\", expect_size=\"46524416\"] \n  16 -> 18 [size =\"46524416\"]\n  16 -> 19 [size =\"46524416\"]\n  17 [size=\"89219072\", alpha=\"0.06\", expect_size=\"44609536\"] \n  17 -> 19 [size =\"44609536\"]\n  18 [size=\"82593792\", alpha=\"0.20\", expect_size=\"41296896\"] \n  18 -> 20 [size =\"41296896\"]\n  19 [size=\"29313024\", alpha=\"0.08\", expect_size=\"14656512\"] \n  20 [size=\"19632128\", alpha=\"0.13\", expect_size=\"9816064\"] \n  20 -> 21 [size =\"9816064\"]\n  21 [size=\"15349760\", alpha=\"0.03\", expect_size=\"7674880\"] \n  21 -> 22 [size =\"7674880\"]\n  21 -> 23 [size =\"7674880\"]\n  22 [size=\"15927296\", alpha=\"0.03\", expect_size=\"7963648\"] \n  22 -> 24 [size =\"7963648\"]\n  23 [size=\"72546304\", alpha=\"0.11\", expect_size=\"36273152\"] \n  23 -> 24 [size =\"36273152\"]\n  24 [size=\"65599488\", alpha=\"0.07\", expect_size=\"32799744\"] \n  24 -> 25 [size =\"32799744\"]\n  25 [size=\"89939968\", alpha=\"0.03\", expect_size=\"44969984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111733760\", alpha=\"0.11\", expect_size=\"44693504\"] \n  1 -> 9 [size =\"44693504\"]\n  2 [size=\"83005440\", alpha=\"0.18\", expect_size=\"33202176\"] \n  2 -> 10 [size =\"33202176\"]\n  2 -> 13 [size =\"33202176\"]\n  3 [size=\"128348160\", alpha=\"0.03\", expect_size=\"51339264\"] \n  3 -> 10 [size =\"51339264\"]\n  3 -> 12 [size =\"51339264\"]\n  3 -> 14 [size =\"51339264\"]\n  3 -> 15 [size =\"51339264\"]\n  4 [size=\"31464960\", alpha=\"0.04\", expect_size=\"12585984\"] \n  4 -> 9 [size =\"12585984\"]\n  4 -> 14 [size =\"12585984\"]\n  5 [size=\"61268480\", alpha=\"0.06\", expect_size=\"24507392\"] \n  5 -> 9 [size =\"24507392\"]\n  5 -> 10 [size =\"24507392\"]\n  5 -> 11 [size =\"24507392\"]\n  6 [size=\"61411840\", alpha=\"0.01\", expect_size=\"24564736\"] \n  6 -> 13 [size =\"24564736\"]\n  7 [size=\"39311360\", alpha=\"0.17\", expect_size=\"15724544\"] \n  7 -> 10 [size =\"15724544\"]\n  8 [size=\"104883200\", alpha=\"0.18\", expect_size=\"41953280\"] \n  8 -> 13 [size =\"41953280\"]\n  9 [size=\"37104640\", alpha=\"0.12\", expect_size=\"14841856\"] \n  9 -> 17 [size =\"14841856\"]\n  9 -> 24 [size =\"14841856\"]\n  10 [size=\"75686400\", alpha=\"0.03\", expect_size=\"30274560\"] \n  10 -> 21 [size =\"30274560\"]\n  10 -> 23 [size =\"30274560\"]\n  11 [size=\"118663680\", alpha=\"0.09\", expect_size=\"47465472\"] \n  11 -> 16 [size =\"47465472\"]\n  11 -> 20 [size =\"47465472\"]\n  12 [size=\"63134720\", alpha=\"0.11\", expect_size=\"25253888\"] \n  12 -> 19 [size =\"25253888\"]\n  12 -> 20 [size =\"25253888\"]\n  12 -> 24 [size =\"25253888\"]\n  13 [size=\"48634880\", alpha=\"0.04\", expect_size=\"19453952\"] \n  13 -> 19 [size =\"19453952\"]\n  14 [size=\"65968640\", alpha=\"0.09\", expect_size=\"26387456\"] \n  14 -> 16 [size =\"26387456\"]\n  14 -> 17 [size =\"26387456\"]\n  14 -> 21 [size =\"26387456\"]\n  14 -> 22 [size =\"26387456\"]\n  15 [size=\"89172480\", alpha=\"0.02\", expect_size=\"35668992\"] \n  15 -> 16 [size =\"35668992\"]\n  15 -> 18 [size =\"35668992\"]\n  16 [size=\"125422080\", alpha=\"0.17\", expect_size=\"50168832\"] \n  17 [size=\"13127680\", alpha=\"0.13\", expect_size=\"5251072\"] \n  18 [size=\"113210880\", alpha=\"0.05\", expect_size=\"45284352\"] \n  19 [size=\"98818560\", alpha=\"0.00\", expect_size=\"39527424\"] \n  20 [size=\"53322240\", alpha=\"0.18\", expect_size=\"21328896\"] \n  20 -> 25 [size =\"21328896\"]\n  21 [size=\"73835520\", alpha=\"0.13\", expect_size=\"29534208\"] \n  21 -> 25 [size =\"29534208\"]\n  22 [size=\"125178880\", alpha=\"0.20\", expect_size=\"50071552\"] \n  23 [size=\"72686080\", alpha=\"0.06\", expect_size=\"29074432\"] \n  24 [size=\"95818240\", alpha=\"0.15\", expect_size=\"38327296\"] \n  25 [size=\"28195840\", alpha=\"0.13\", expect_size=\"11278336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14036480\", alpha=\"0.04\", expect_size=\"5614592\"] \n  1 -> 9 [size =\"5614592\"]\n  1 -> 11 [size =\"5614592\"]\n  2 [size=\"102210560\", alpha=\"0.15\", expect_size=\"40884224\"] \n  2 -> 9 [size =\"40884224\"]\n  2 -> 10 [size =\"40884224\"]\n  3 [size=\"19159040\", alpha=\"0.19\", expect_size=\"7663616\"] \n  3 -> 9 [size =\"7663616\"]\n  3 -> 10 [size =\"7663616\"]\n  3 -> 11 [size =\"7663616\"]\n  4 [size=\"66823680\", alpha=\"0.14\", expect_size=\"26729472\"] \n  4 -> 11 [size =\"26729472\"]\n  4 -> 16 [size =\"26729472\"]\n  5 [size=\"86592000\", alpha=\"0.15\", expect_size=\"34636800\"] \n  5 -> 9 [size =\"34636800\"]\n  5 -> 11 [size =\"34636800\"]\n  5 -> 16 [size =\"34636800\"]\n  6 [size=\"36948480\", alpha=\"0.17\", expect_size=\"14779392\"] \n  6 -> 13 [size =\"14779392\"]\n  6 -> 16 [size =\"14779392\"]\n  6 -> 16 [size =\"14779392\"]\n  7 [size=\"32747520\", alpha=\"0.11\", expect_size=\"13099008\"] \n  7 -> 10 [size =\"13099008\"]\n  7 -> 15 [size =\"13099008\"]\n  8 [size=\"109770240\", alpha=\"0.01\", expect_size=\"43908096\"] \n  8 -> 9 [size =\"43908096\"]\n  8 -> 11 [size =\"43908096\"]\n  8 -> 12 [size =\"43908096\"]\n  8 -> 14 [size =\"43908096\"]\n  9 [size=\"46479360\", alpha=\"0.18\", expect_size=\"18591744\"] \n  9 -> 19 [size =\"18591744\"]\n  9 -> 21 [size =\"18591744\"]\n  9 -> 22 [size =\"18591744\"]\n  9 -> 24 [size =\"18591744\"]\n  10 [size=\"114872320\", alpha=\"0.07\", expect_size=\"45948928\"] \n  11 [size=\"75658240\", alpha=\"0.02\", expect_size=\"30263296\"] \n  11 -> 17 [size =\"30263296\"]\n  11 -> 18 [size =\"30263296\"]\n  12 [size=\"99973120\", alpha=\"0.05\", expect_size=\"39989248\"] \n  12 -> 17 [size =\"39989248\"]\n  12 -> 19 [size =\"39989248\"]\n  12 -> 20 [size =\"39989248\"]\n  12 -> 22 [size =\"39989248\"]\n  12 -> 24 [size =\"39989248\"]\n  13 [size=\"68636160\", alpha=\"0.05\", expect_size=\"27454464\"] \n  13 -> 20 [size =\"27454464\"]\n  13 -> 21 [size =\"27454464\"]\n  13 -> 24 [size =\"27454464\"]\n  13 -> 25 [size =\"27454464\"]\n  14 [size=\"64985600\", alpha=\"0.01\", expect_size=\"25994240\"] \n  14 -> 17 [size =\"25994240\"]\n  14 -> 21 [size =\"25994240\"]\n  14 -> 22 [size =\"25994240\"]\n  14 -> 25 [size =\"25994240\"]\n  15 [size=\"31797760\", alpha=\"0.16\", expect_size=\"12719104\"] \n  15 -> 17 [size =\"12719104\"]\n  15 -> 20 [size =\"12719104\"]\n  15 -> 22 [size =\"12719104\"]\n  15 -> 24 [size =\"12719104\"]\n  15 -> 25 [size =\"12719104\"]\n  16 [size=\"117378560\", alpha=\"0.11\", expect_size=\"46951424\"] \n  16 -> 19 [size =\"46951424\"]\n  16 -> 21 [size =\"46951424\"]\n  16 -> 23 [size =\"46951424\"]\n  16 -> 24 [size =\"46951424\"]\n  17 [size=\"101122560\", alpha=\"0.14\", expect_size=\"40449024\"] \n  18 [size=\"47720960\", alpha=\"0.19\", expect_size=\"19088384\"] \n  19 [size=\"53608960\", alpha=\"0.07\", expect_size=\"21443584\"] \n  20 [size=\"41315840\", alpha=\"0.16\", expect_size=\"16526336\"] \n  21 [size=\"85273600\", alpha=\"0.05\", expect_size=\"34109440\"] \n  22 [size=\"94599680\", alpha=\"0.09\", expect_size=\"37839872\"] \n  23 [size=\"125800960\", alpha=\"0.14\", expect_size=\"50320384\"] \n  24 [size=\"38958080\", alpha=\"0.08\", expect_size=\"15583232\"] \n  25 [size=\"42183680\", alpha=\"0.15\", expect_size=\"16873472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113889280\", alpha=\"0.03\", expect_size=\"45555712\"] \n  1 -> 5 [size =\"45555712\"]\n  1 -> 6 [size =\"45555712\"]\n  1 -> 7 [size =\"45555712\"]\n  1 -> 8 [size =\"45555712\"]\n  2 [size=\"45391360\", alpha=\"0.13\", expect_size=\"18156544\"] \n  2 -> 6 [size =\"18156544\"]\n  2 -> 8 [size =\"18156544\"]\n  3 [size=\"24256000\", alpha=\"0.02\", expect_size=\"9702400\"] \n  3 -> 5 [size =\"9702400\"]\n  4 [size=\"83171840\", alpha=\"0.06\", expect_size=\"33268736\"] \n  4 -> 5 [size =\"33268736\"]\n  4 -> 6 [size =\"33268736\"]\n  5 [size=\"36357120\", alpha=\"0.03\", expect_size=\"14542848\"] \n  5 -> 11 [size =\"14542848\"]\n  6 [size=\"67174400\", alpha=\"0.06\", expect_size=\"26869760\"] \n  6 -> 9 [size =\"26869760\"]\n  6 -> 10 [size =\"26869760\"]\n  6 -> 11 [size =\"26869760\"]\n  7 [size=\"23372800\", alpha=\"0.06\", expect_size=\"9349120\"] \n  8 [size=\"87191040\", alpha=\"0.01\", expect_size=\"34876416\"] \n  8 -> 9 [size =\"34876416\"]\n  9 [size=\"66792960\", alpha=\"0.02\", expect_size=\"26717184\"] \n  10 [size=\"41085440\", alpha=\"0.18\", expect_size=\"16434176\"] \n  10 -> 12 [size =\"16434176\"]\n  10 -> 13 [size =\"16434176\"]\n  10 -> 14 [size =\"16434176\"]\n  11 [size=\"31045120\", alpha=\"0.17\", expect_size=\"12418048\"] \n  11 -> 12 [size =\"12418048\"]\n  11 -> 15 [size =\"12418048\"]\n  12 [size=\"48977920\", alpha=\"0.05\", expect_size=\"19591168\"] \n  12 -> 16 [size =\"19591168\"]\n  12 -> 17 [size =\"19591168\"]\n  13 [size=\"125040640\", alpha=\"0.09\", expect_size=\"50016256\"] \n  13 -> 19 [size =\"50016256\"]\n  14 [size=\"19287040\", alpha=\"0.01\", expect_size=\"7714816\"] \n  14 -> 18 [size =\"7714816\"]\n  15 [size=\"52144640\", alpha=\"0.18\", expect_size=\"20857856\"] \n  15 -> 18 [size =\"20857856\"]\n  16 [size=\"69104640\", alpha=\"0.04\", expect_size=\"27641856\"] \n  17 [size=\"107432960\", alpha=\"0.09\", expect_size=\"42973184\"] \n  17 -> 20 [size =\"42973184\"]\n  17 -> 22 [size =\"42973184\"]\n  17 -> 23 [size =\"42973184\"]\n  18 [size=\"23831040\", alpha=\"0.12\", expect_size=\"9532416\"] \n  18 -> 21 [size =\"9532416\"]\n  18 -> 22 [size =\"9532416\"]\n  19 [size=\"28595200\", alpha=\"0.12\", expect_size=\"11438080\"] \n  19 -> 20 [size =\"11438080\"]\n  20 [size=\"38561280\", alpha=\"0.07\", expect_size=\"15424512\"] \n  20 -> 25 [size =\"15424512\"]\n  21 [size=\"26219520\", alpha=\"0.19\", expect_size=\"10487808\"] \n  22 [size=\"124889600\", alpha=\"0.17\", expect_size=\"49955840\"] \n  22 -> 24 [size =\"49955840\"]\n  23 [size=\"37012480\", alpha=\"0.16\", expect_size=\"14804992\"] \n  24 [size=\"88926720\", alpha=\"0.07\", expect_size=\"35570688\"] \n  25 [size=\"95308800\", alpha=\"0.02\", expect_size=\"38123520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35212800\", alpha=\"0.03\", expect_size=\"14085120\"] \n  1 -> 2 [size =\"14085120\"]\n  2 [size=\"79751680\", alpha=\"0.11\", expect_size=\"31900672\"] \n  2 -> 3 [size =\"31900672\"]\n  3 [size=\"110379520\", alpha=\"0.07\", expect_size=\"44151808\"] \n  3 -> 4 [size =\"44151808\"]\n  4 [size=\"127334400\", alpha=\"0.10\", expect_size=\"50933760\"] \n  4 -> 5 [size =\"50933760\"]\n  5 [size=\"124055040\", alpha=\"0.06\", expect_size=\"49622016\"] \n  5 -> 6 [size =\"49622016\"]\n  6 [size=\"90375680\", alpha=\"0.12\", expect_size=\"36150272\"] \n  6 -> 7 [size =\"36150272\"]\n  7 [size=\"119946240\", alpha=\"0.06\", expect_size=\"47978496\"] \n  7 -> 8 [size =\"47978496\"]\n  8 [size=\"123896320\", alpha=\"0.11\", expect_size=\"49558528\"] \n  8 -> 9 [size =\"49558528\"]\n  9 [size=\"74135040\", alpha=\"0.01\", expect_size=\"29654016\"] \n  9 -> 10 [size =\"29654016\"]\n  10 [size=\"46126080\", alpha=\"0.16\", expect_size=\"18450432\"] \n  10 -> 11 [size =\"18450432\"]\n  11 [size=\"18257920\", alpha=\"0.15\", expect_size=\"7303168\"] \n  11 -> 12 [size =\"7303168\"]\n  12 [size=\"36659200\", alpha=\"0.15\", expect_size=\"14663680\"] \n  12 -> 13 [size =\"14663680\"]\n  13 [size=\"104261120\", alpha=\"0.11\", expect_size=\"41704448\"] \n  13 -> 14 [size =\"41704448\"]\n  14 [size=\"26557440\", alpha=\"0.08\", expect_size=\"10622976\"] \n  14 -> 15 [size =\"10622976\"]\n  15 [size=\"83589120\", alpha=\"0.11\", expect_size=\"33435648\"] \n  15 -> 16 [size =\"33435648\"]\n  16 [size=\"121569280\", alpha=\"0.14\", expect_size=\"48627712\"] \n  16 -> 17 [size =\"48627712\"]\n  17 [size=\"75156480\", alpha=\"0.04\", expect_size=\"30062592\"] \n  17 -> 18 [size =\"30062592\"]\n  18 [size=\"110359040\", alpha=\"0.16\", expect_size=\"44143616\"] \n  18 -> 19 [size =\"44143616\"]\n  19 [size=\"56140800\", alpha=\"0.00\", expect_size=\"22456320\"] \n  19 -> 20 [size =\"22456320\"]\n  20 [size=\"60006400\", alpha=\"0.04\", expect_size=\"24002560\"] \n  20 -> 21 [size =\"24002560\"]\n  21 [size=\"36979200\", alpha=\"0.12\", expect_size=\"14791680\"] \n  21 -> 22 [size =\"14791680\"]\n  22 [size=\"125836800\", alpha=\"0.11\", expect_size=\"50334720\"] \n  22 -> 23 [size =\"50334720\"]\n  23 [size=\"96524800\", alpha=\"0.07\", expect_size=\"38609920\"] \n  23 -> 24 [size =\"38609920\"]\n  24 [size=\"43182080\", alpha=\"0.02\", expect_size=\"17272832\"] \n  24 -> 25 [size =\"17272832\"]\n  25 [size=\"91873280\", alpha=\"0.16\", expect_size=\"36749312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46768640\", alpha=\"0.02\", expect_size=\"18707456\"] \n  1 -> 14 [size =\"18707456\"]\n  1 -> 15 [size =\"18707456\"]\n  1 -> 16 [size =\"18707456\"]\n  2 [size=\"95211520\", alpha=\"0.09\", expect_size=\"38084608\"] \n  2 -> 14 [size =\"38084608\"]\n  2 -> 17 [size =\"38084608\"]\n  3 [size=\"117621760\", alpha=\"0.12\", expect_size=\"47048704\"] \n  3 -> 14 [size =\"47048704\"]\n  3 -> 16 [size =\"47048704\"]\n  4 [size=\"19704320\", alpha=\"0.04\", expect_size=\"7881728\"] \n  4 -> 16 [size =\"7881728\"]\n  5 [size=\"66892800\", alpha=\"0.05\", expect_size=\"26757120\"] \n  5 -> 17 [size =\"26757120\"]\n  6 [size=\"68377600\", alpha=\"0.03\", expect_size=\"27351040\"] \n  7 [size=\"57436160\", alpha=\"0.00\", expect_size=\"22974464\"] \n  7 -> 15 [size =\"22974464\"]\n  7 -> 17 [size =\"22974464\"]\n  8 [size=\"40079360\", alpha=\"0.17\", expect_size=\"16031744\"] \n  8 -> 15 [size =\"16031744\"]\n  8 -> 16 [size =\"16031744\"]\n  9 [size=\"19445760\", alpha=\"0.13\", expect_size=\"7778304\"] \n  9 -> 15 [size =\"7778304\"]\n  9 -> 18 [size =\"7778304\"]\n  10 [size=\"109012480\", alpha=\"0.15\", expect_size=\"43604992\"] \n  10 -> 17 [size =\"43604992\"]\n  11 [size=\"35258880\", alpha=\"0.04\", expect_size=\"14103552\"] \n  11 -> 15 [size =\"14103552\"]\n  12 [size=\"45306880\", alpha=\"0.01\", expect_size=\"18122752\"] \n  12 -> 15 [size =\"18122752\"]\n  12 -> 17 [size =\"18122752\"]\n  13 [size=\"98516480\", alpha=\"0.02\", expect_size=\"39406592\"] \n  13 -> 17 [size =\"39406592\"]\n  13 -> 18 [size =\"39406592\"]\n  14 [size=\"52523520\", alpha=\"0.01\", expect_size=\"21009408\"] \n  14 -> 19 [size =\"21009408\"]\n  14 -> 20 [size =\"21009408\"]\n  14 -> 25 [size =\"21009408\"]\n  15 [size=\"73408000\", alpha=\"0.01\", expect_size=\"29363200\"] \n  15 -> 19 [size =\"29363200\"]\n  15 -> 22 [size =\"29363200\"]\n  15 -> 23 [size =\"29363200\"]\n  16 [size=\"105571840\", alpha=\"0.08\", expect_size=\"42228736\"] \n  16 -> 19 [size =\"42228736\"]\n  16 -> 23 [size =\"42228736\"]\n  17 [size=\"122032640\", alpha=\"0.07\", expect_size=\"48813056\"] \n  17 -> 20 [size =\"48813056\"]\n  17 -> 21 [size =\"48813056\"]\n  17 -> 22 [size =\"48813056\"]\n  17 -> 23 [size =\"48813056\"]\n  18 [size=\"124037120\", alpha=\"0.10\", expect_size=\"49614848\"] \n  18 -> 21 [size =\"49614848\"]\n  18 -> 24 [size =\"49614848\"]\n  19 [size=\"108815360\", alpha=\"0.15\", expect_size=\"43526144\"] \n  20 [size=\"65088000\", alpha=\"0.20\", expect_size=\"26035200\"] \n  21 [size=\"36057600\", alpha=\"0.10\", expect_size=\"14423040\"] \n  22 [size=\"58603520\", alpha=\"0.14\", expect_size=\"23441408\"] \n  23 [size=\"64547840\", alpha=\"0.16\", expect_size=\"25819136\"] \n  24 [size=\"74024960\", alpha=\"0.19\", expect_size=\"29609984\"] \n  25 [size=\"79037440\", alpha=\"0.12\", expect_size=\"31614976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103188480\", alpha=\"0.06\", expect_size=\"51594240\"] \n  1 -> 19 [size =\"51594240\"]\n  1 -> 23 [size =\"51594240\"]\n  2 [size=\"13279232\", alpha=\"0.09\", expect_size=\"6639616\"] \n  2 -> 20 [size =\"6639616\"]\n  2 -> 23 [size =\"6639616\"]\n  3 [size=\"63848448\", alpha=\"0.11\", expect_size=\"31924224\"] \n  3 -> 17 [size =\"31924224\"]\n  3 -> 24 [size =\"31924224\"]\n  3 -> 25 [size =\"31924224\"]\n  4 [size=\"99012608\", alpha=\"0.01\", expect_size=\"49506304\"] \n  4 -> 17 [size =\"49506304\"]\n  4 -> 25 [size =\"49506304\"]\n  5 [size=\"26081280\", alpha=\"0.07\", expect_size=\"13040640\"] \n  5 -> 17 [size =\"13040640\"]\n  5 -> 18 [size =\"13040640\"]\n  5 -> 19 [size =\"13040640\"]\n  5 -> 24 [size =\"13040640\"]\n  5 -> 25 [size =\"13040640\"]\n  6 [size=\"86661120\", alpha=\"0.14\", expect_size=\"43330560\"] \n  6 -> 19 [size =\"43330560\"]\n  7 [size=\"85172224\", alpha=\"0.07\", expect_size=\"42586112\"] \n  7 -> 23 [size =\"42586112\"]\n  8 [size=\"35745792\", alpha=\"0.02\", expect_size=\"17872896\"] \n  8 -> 21 [size =\"17872896\"]\n  9 [size=\"86024192\", alpha=\"0.09\", expect_size=\"43012096\"] \n  9 -> 19 [size =\"43012096\"]\n  9 -> 24 [size =\"43012096\"]\n  10 [size=\"35831808\", alpha=\"0.13\", expect_size=\"17915904\"] \n  10 -> 17 [size =\"17915904\"]\n  10 -> 19 [size =\"17915904\"]\n  10 -> 22 [size =\"17915904\"]\n  10 -> 23 [size =\"17915904\"]\n  10 -> 24 [size =\"17915904\"]\n  11 [size=\"78546944\", alpha=\"0.11\", expect_size=\"39273472\"] \n  11 -> 17 [size =\"39273472\"]\n  11 -> 19 [size =\"39273472\"]\n  11 -> 22 [size =\"39273472\"]\n  11 -> 25 [size =\"39273472\"]\n  12 [size=\"13180928\", alpha=\"0.10\", expect_size=\"6590464\"] \n  12 -> 19 [size =\"6590464\"]\n  12 -> 19 [size =\"6590464\"]\n  13 [size=\"55803904\", alpha=\"0.01\", expect_size=\"27901952\"] \n  13 -> 19 [size =\"27901952\"]\n  13 -> 23 [size =\"27901952\"]\n  13 -> 25 [size =\"27901952\"]\n  14 [size=\"13473792\", alpha=\"0.18\", expect_size=\"6736896\"] \n  14 -> 17 [size =\"6736896\"]\n  14 -> 18 [size =\"6736896\"]\n  14 -> 23 [size =\"6736896\"]\n  15 [size=\"19947520\", alpha=\"0.16\", expect_size=\"9973760\"] \n  15 -> 19 [size =\"9973760\"]\n  15 -> 22 [size =\"9973760\"]\n  15 -> 23 [size =\"9973760\"]\n  16 [size=\"53917696\", alpha=\"0.03\", expect_size=\"26958848\"] \n  16 -> 19 [size =\"26958848\"]\n  16 -> 20 [size =\"26958848\"]\n  16 -> 21 [size =\"26958848\"]\n  16 -> 22 [size =\"26958848\"]\n  16 -> 23 [size =\"26958848\"]\n  17 [size=\"25915392\", alpha=\"0.03\", expect_size=\"12957696\"] \n  18 [size=\"58390528\", alpha=\"0.16\", expect_size=\"29195264\"] \n  19 [size=\"69009408\", alpha=\"0.05\", expect_size=\"34504704\"] \n  20 [size=\"16586752\", alpha=\"0.07\", expect_size=\"8293376\"] \n  21 [size=\"76937216\", alpha=\"0.07\", expect_size=\"38468608\"] \n  22 [size=\"35973120\", alpha=\"0.09\", expect_size=\"17986560\"] \n  23 [size=\"81752064\", alpha=\"0.01\", expect_size=\"40876032\"] \n  24 [size=\"85698560\", alpha=\"0.13\", expect_size=\"42849280\"] \n  25 [size=\"76472320\", alpha=\"0.07\", expect_size=\"38236160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109253973\", alpha=\"0.13\", expect_size=\"32776192\"] \n  1 -> 23 [size =\"32776192\"]\n  1 -> 24 [size =\"32776192\"]\n  1 -> 25 [size =\"32776192\"]\n  2 [size=\"90828800\", alpha=\"0.01\", expect_size=\"27248640\"] \n  2 -> 23 [size =\"27248640\"]\n  3 [size=\"122965333\", alpha=\"0.01\", expect_size=\"36889600\"] \n  3 -> 23 [size =\"36889600\"]\n  3 -> 25 [size =\"36889600\"]\n  4 [size=\"57600000\", alpha=\"0.03\", expect_size=\"17280000\"] \n  4 -> 23 [size =\"17280000\"]\n  5 [size=\"39584427\", alpha=\"0.04\", expect_size=\"11875328\"] \n  5 -> 23 [size =\"11875328\"]\n  5 -> 24 [size =\"11875328\"]\n  6 [size=\"68829867\", alpha=\"0.00\", expect_size=\"20648960\"] \n  6 -> 24 [size =\"20648960\"]\n  7 [size=\"163031040\", alpha=\"0.05\", expect_size=\"48909312\"] \n  8 [size=\"95726933\", alpha=\"0.11\", expect_size=\"28718080\"] \n  9 [size=\"128464213\", alpha=\"0.12\", expect_size=\"38539264\"] \n  9 -> 23 [size =\"38539264\"]\n  9 -> 24 [size =\"38539264\"]\n  9 -> 25 [size =\"38539264\"]\n  10 [size=\"155845973\", alpha=\"0.11\", expect_size=\"46753792\"] \n  10 -> 23 [size =\"46753792\"]\n  10 -> 24 [size =\"46753792\"]\n  10 -> 25 [size =\"46753792\"]\n  11 [size=\"42011307\", alpha=\"0.12\", expect_size=\"12603392\"] \n  11 -> 23 [size =\"12603392\"]\n  11 -> 25 [size =\"12603392\"]\n  11 -> 25 [size =\"12603392\"]\n  12 [size=\"147797333\", alpha=\"0.15\", expect_size=\"44339200\"] \n  12 -> 23 [size =\"44339200\"]\n  12 -> 25 [size =\"44339200\"]\n  13 [size=\"153838933\", alpha=\"0.19\", expect_size=\"46151680\"] \n  13 -> 23 [size =\"46151680\"]\n  13 -> 24 [size =\"46151680\"]\n  13 -> 25 [size =\"46151680\"]\n  14 [size=\"164321280\", alpha=\"0.02\", expect_size=\"49296384\"] \n  14 -> 23 [size =\"49296384\"]\n  14 -> 24 [size =\"49296384\"]\n  14 -> 25 [size =\"49296384\"]\n  15 [size=\"33423360\", alpha=\"0.08\", expect_size=\"10027008\"] \n  15 -> 23 [size =\"10027008\"]\n  15 -> 24 [size =\"10027008\"]\n  16 [size=\"67730773\", alpha=\"0.03\", expect_size=\"20319232\"] \n  16 -> 23 [size =\"20319232\"]\n  17 [size=\"71041707\", alpha=\"0.04\", expect_size=\"21312512\"] \n  17 -> 23 [size =\"21312512\"]\n  17 -> 25 [size =\"21312512\"]\n  18 [size=\"109230080\", alpha=\"0.07\", expect_size=\"32769024\"] \n  18 -> 23 [size =\"32769024\"]\n  18 -> 25 [size =\"32769024\"]\n  19 [size=\"40468480\", alpha=\"0.04\", expect_size=\"12140544\"] \n  19 -> 23 [size =\"12140544\"]\n  19 -> 24 [size =\"12140544\"]\n  19 -> 25 [size =\"12140544\"]\n  20 [size=\"137919147\", alpha=\"0.09\", expect_size=\"41375744\"] \n  20 -> 23 [size =\"41375744\"]\n  20 -> 24 [size =\"41375744\"]\n  21 [size=\"63863467\", alpha=\"0.06\", expect_size=\"19159040\"] \n  21 -> 23 [size =\"19159040\"]\n  21 -> 24 [size =\"19159040\"]\n  21 -> 25 [size =\"19159040\"]\n  22 [size=\"157143040\", alpha=\"0.13\", expect_size=\"47142912\"] \n  22 -> 23 [size =\"47142912\"]\n  22 -> 24 [size =\"47142912\"]\n  22 -> 25 [size =\"47142912\"]\n  23 [size=\"114810880\", alpha=\"0.12\", expect_size=\"34443264\"] \n  24 [size=\"107362987\", alpha=\"0.17\", expect_size=\"32208896\"] \n  25 [size=\"124709547\", alpha=\"0.05\", expect_size=\"37412864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76863488\", alpha=\"0.18\", expect_size=\"38431744\"] \n  1 -> 11 [size =\"38431744\"]\n  1 -> 12 [size =\"38431744\"]\n  1 -> 14 [size =\"38431744\"]\n  2 [size=\"91541504\", alpha=\"0.06\", expect_size=\"45770752\"] \n  2 -> 11 [size =\"45770752\"]\n  2 -> 14 [size =\"45770752\"]\n  2 -> 15 [size =\"45770752\"]\n  3 [size=\"94486528\", alpha=\"0.02\", expect_size=\"47243264\"] \n  3 -> 10 [size =\"47243264\"]\n  3 -> 13 [size =\"47243264\"]\n  4 [size=\"100999168\", alpha=\"0.03\", expect_size=\"50499584\"] \n  4 -> 10 [size =\"50499584\"]\n  4 -> 11 [size =\"50499584\"]\n  4 -> 13 [size =\"50499584\"]\n  5 [size=\"30140416\", alpha=\"0.17\", expect_size=\"15070208\"] \n  5 -> 13 [size =\"15070208\"]\n  5 -> 14 [size =\"15070208\"]\n  6 [size=\"21968896\", alpha=\"0.01\", expect_size=\"10984448\"] \n  6 -> 10 [size =\"10984448\"]\n  6 -> 12 [size =\"10984448\"]\n  7 [size=\"75999232\", alpha=\"0.15\", expect_size=\"37999616\"] \n  7 -> 10 [size =\"37999616\"]\n  7 -> 11 [size =\"37999616\"]\n  7 -> 12 [size =\"37999616\"]\n  7 -> 13 [size =\"37999616\"]\n  8 [size=\"19769344\", alpha=\"0.13\", expect_size=\"9884672\"] \n  8 -> 10 [size =\"9884672\"]\n  8 -> 12 [size =\"9884672\"]\n  9 [size=\"31049728\", alpha=\"0.10\", expect_size=\"15524864\"] \n  9 -> 11 [size =\"15524864\"]\n  9 -> 12 [size =\"15524864\"]\n  9 -> 13 [size =\"15524864\"]\n  9 -> 14 [size =\"15524864\"]\n  9 -> 15 [size =\"15524864\"]\n  10 [size=\"57597952\", alpha=\"0.12\", expect_size=\"28798976\"] \n  10 -> 25 [size =\"28798976\"]\n  11 [size=\"28282880\", alpha=\"0.03\", expect_size=\"14141440\"] \n  11 -> 17 [size =\"14141440\"]\n  11 -> 20 [size =\"14141440\"]\n  11 -> 24 [size =\"14141440\"]\n  12 [size=\"19677184\", alpha=\"0.16\", expect_size=\"9838592\"] \n  12 -> 17 [size =\"9838592\"]\n  12 -> 20 [size =\"9838592\"]\n  12 -> 21 [size =\"9838592\"]\n  12 -> 22 [size =\"9838592\"]\n  12 -> 24 [size =\"9838592\"]\n  13 [size=\"46364672\", alpha=\"0.17\", expect_size=\"23182336\"] \n  13 -> 22 [size =\"23182336\"]\n  13 -> 23 [size =\"23182336\"]\n  13 -> 24 [size =\"23182336\"]\n  14 [size=\"53952512\", alpha=\"0.13\", expect_size=\"26976256\"] \n  14 -> 16 [size =\"26976256\"]\n  14 -> 20 [size =\"26976256\"]\n  14 -> 22 [size =\"26976256\"]\n  14 -> 23 [size =\"26976256\"]\n  15 [size=\"65816576\", alpha=\"0.05\", expect_size=\"32908288\"] \n  15 -> 18 [size =\"32908288\"]\n  15 -> 19 [size =\"32908288\"]\n  15 -> 20 [size =\"32908288\"]\n  16 [size=\"52369408\", alpha=\"0.01\", expect_size=\"26184704\"] \n  17 [size=\"59279360\", alpha=\"0.04\", expect_size=\"29639680\"] \n  18 [size=\"35074048\", alpha=\"0.05\", expect_size=\"17537024\"] \n  19 [size=\"94496768\", alpha=\"0.01\", expect_size=\"47248384\"] \n  20 [size=\"48510976\", alpha=\"0.10\", expect_size=\"24255488\"] \n  21 [size=\"12273664\", alpha=\"0.12\", expect_size=\"6136832\"] \n  22 [size=\"27138048\", alpha=\"0.12\", expect_size=\"13569024\"] \n  23 [size=\"101396480\", alpha=\"0.10\", expect_size=\"50698240\"] \n  24 [size=\"89442304\", alpha=\"0.07\", expect_size=\"44721152\"] \n  25 [size=\"55982080\", alpha=\"0.07\", expect_size=\"27991040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78751744\", alpha=\"0.01\", expect_size=\"39375872\"] \n  1 -> 4 [size =\"39375872\"]\n  1 -> 5 [size =\"39375872\"]\n  1 -> 6 [size =\"39375872\"]\n  1 -> 7 [size =\"39375872\"]\n  2 [size=\"20897792\", alpha=\"0.05\", expect_size=\"10448896\"] \n  2 -> 4 [size =\"10448896\"]\n  2 -> 5 [size =\"10448896\"]\n  2 -> 6 [size =\"10448896\"]\n  2 -> 7 [size =\"10448896\"]\n  2 -> 8 [size =\"10448896\"]\n  3 [size=\"93708288\", alpha=\"0.03\", expect_size=\"46854144\"] \n  3 -> 4 [size =\"46854144\"]\n  3 -> 5 [size =\"46854144\"]\n  3 -> 6 [size =\"46854144\"]\n  4 [size=\"100417536\", alpha=\"0.00\", expect_size=\"50208768\"] \n  4 -> 9 [size =\"50208768\"]\n  4 -> 10 [size =\"50208768\"]\n  4 -> 12 [size =\"50208768\"]\n  5 [size=\"27330560\", alpha=\"0.06\", expect_size=\"13665280\"] \n  5 -> 9 [size =\"13665280\"]\n  5 -> 10 [size =\"13665280\"]\n  5 -> 12 [size =\"13665280\"]\n  6 [size=\"16723968\", alpha=\"0.01\", expect_size=\"8361984\"] \n  6 -> 9 [size =\"8361984\"]\n  6 -> 10 [size =\"8361984\"]\n  6 -> 12 [size =\"8361984\"]\n  7 [size=\"57149440\", alpha=\"0.12\", expect_size=\"28574720\"] \n  7 -> 10 [size =\"28574720\"]\n  7 -> 12 [size =\"28574720\"]\n  8 [size=\"11132928\", alpha=\"0.05\", expect_size=\"5566464\"] \n  8 -> 11 [size =\"5566464\"]\n  9 [size=\"43804672\", alpha=\"0.01\", expect_size=\"21902336\"] \n  9 -> 13 [size =\"21902336\"]\n  9 -> 15 [size =\"21902336\"]\n  10 [size=\"76650496\", alpha=\"0.18\", expect_size=\"38325248\"] \n  10 -> 13 [size =\"38325248\"]\n  10 -> 14 [size =\"38325248\"]\n  11 [size=\"37597184\", alpha=\"0.06\", expect_size=\"18798592\"] \n  11 -> 13 [size =\"18798592\"]\n  11 -> 14 [size =\"18798592\"]\n  11 -> 15 [size =\"18798592\"]\n  12 [size=\"43788288\", alpha=\"0.14\", expect_size=\"21894144\"] \n  12 -> 13 [size =\"21894144\"]\n  12 -> 15 [size =\"21894144\"]\n  13 [size=\"69169152\", alpha=\"0.06\", expect_size=\"34584576\"] \n  13 -> 16 [size =\"34584576\"]\n  13 -> 19 [size =\"34584576\"]\n  14 [size=\"81997824\", alpha=\"0.14\", expect_size=\"40998912\"] \n  15 [size=\"83691520\", alpha=\"0.19\", expect_size=\"41845760\"] \n  15 -> 17 [size =\"41845760\"]\n  15 -> 18 [size =\"41845760\"]\n  16 [size=\"18962432\", alpha=\"0.09\", expect_size=\"9481216\"] \n  16 -> 20 [size =\"9481216\"]\n  17 [size=\"25643008\", alpha=\"0.20\", expect_size=\"12821504\"] \n  17 -> 20 [size =\"12821504\"]\n  17 -> 22 [size =\"12821504\"]\n  18 [size=\"84543488\", alpha=\"0.13\", expect_size=\"42271744\"] \n  18 -> 21 [size =\"42271744\"]\n  18 -> 22 [size =\"42271744\"]\n  19 [size=\"13645824\", alpha=\"0.04\", expect_size=\"6822912\"] \n  19 -> 20 [size =\"6822912\"]\n  19 -> 23 [size =\"6822912\"]\n  20 [size=\"17977344\", alpha=\"0.14\", expect_size=\"8988672\"] \n  20 -> 25 [size =\"8988672\"]\n  21 [size=\"102840320\", alpha=\"0.19\", expect_size=\"51420160\"] \n  22 [size=\"36431872\", alpha=\"0.05\", expect_size=\"18215936\"] \n  22 -> 24 [size =\"18215936\"]\n  22 -> 25 [size =\"18215936\"]\n  23 [size=\"102901760\", alpha=\"0.10\", expect_size=\"51450880\"] \n  23 -> 24 [size =\"51450880\"]\n  24 [size=\"38520832\", alpha=\"0.13\", expect_size=\"19260416\"] \n  25 [size=\"11077632\", alpha=\"0.20\", expect_size=\"5538816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60907520\", alpha=\"0.16\", expect_size=\"18272256\"] \n  1 -> 10 [size =\"18272256\"]\n  1 -> 11 [size =\"18272256\"]\n  1 -> 12 [size =\"18272256\"]\n  2 [size=\"65911467\", alpha=\"0.15\", expect_size=\"19773440\"] \n  2 -> 8 [size =\"19773440\"]\n  2 -> 11 [size =\"19773440\"]\n  3 [size=\"115432107\", alpha=\"0.01\", expect_size=\"34629632\"] \n  3 -> 7 [size =\"34629632\"]\n  3 -> 8 [size =\"34629632\"]\n  4 [size=\"92613973\", alpha=\"0.01\", expect_size=\"27784192\"] \n  4 -> 7 [size =\"27784192\"]\n  4 -> 9 [size =\"27784192\"]\n  4 -> 12 [size =\"27784192\"]\n  5 [size=\"65764693\", alpha=\"0.18\", expect_size=\"19729408\"] \n  5 -> 9 [size =\"19729408\"]\n  6 [size=\"94740480\", alpha=\"0.08\", expect_size=\"28422144\"] \n  6 -> 7 [size =\"28422144\"]\n  6 -> 8 [size =\"28422144\"]\n  6 -> 10 [size =\"28422144\"]\n  6 -> 12 [size =\"28422144\"]\n  6 -> 13 [size =\"28422144\"]\n  7 [size=\"168256853\", alpha=\"0.10\", expect_size=\"50477056\"] \n  7 -> 16 [size =\"50477056\"]\n  7 -> 18 [size =\"50477056\"]\n  7 -> 22 [size =\"50477056\"]\n  8 [size=\"86258347\", alpha=\"0.20\", expect_size=\"25877504\"] \n  8 -> 24 [size =\"25877504\"]\n  9 [size=\"44663467\", alpha=\"0.09\", expect_size=\"13399040\"] \n  9 -> 17 [size =\"13399040\"]\n  9 -> 19 [size =\"13399040\"]\n  9 -> 23 [size =\"13399040\"]\n  10 [size=\"53923840\", alpha=\"0.07\", expect_size=\"16177152\"] \n  10 -> 15 [size =\"16177152\"]\n  10 -> 17 [size =\"16177152\"]\n  10 -> 19 [size =\"16177152\"]\n  10 -> 23 [size =\"16177152\"]\n  11 [size=\"51285333\", alpha=\"0.13\", expect_size=\"15385600\"] \n  11 -> 14 [size =\"15385600\"]\n  11 -> 15 [size =\"15385600\"]\n  11 -> 21 [size =\"15385600\"]\n  11 -> 22 [size =\"15385600\"]\n  12 [size=\"20155733\", alpha=\"0.13\", expect_size=\"6046720\"] \n  12 -> 18 [size =\"6046720\"]\n  12 -> 22 [size =\"6046720\"]\n  13 [size=\"134577493\", alpha=\"0.17\", expect_size=\"40373248\"] \n  13 -> 14 [size =\"40373248\"]\n  13 -> 15 [size =\"40373248\"]\n  13 -> 18 [size =\"40373248\"]\n  13 -> 20 [size =\"40373248\"]\n  14 [size=\"144397653\", alpha=\"0.09\", expect_size=\"43319296\"] \n  15 [size=\"151333547\", alpha=\"0.17\", expect_size=\"45400064\"] \n  15 -> 25 [size =\"45400064\"]\n  16 [size=\"134191787\", alpha=\"0.14\", expect_size=\"40257536\"] \n  17 [size=\"40830293\", alpha=\"0.19\", expect_size=\"12249088\"] \n  18 [size=\"121128960\", alpha=\"0.08\", expect_size=\"36338688\"] \n  18 -> 25 [size =\"36338688\"]\n  19 [size=\"119814827\", alpha=\"0.03\", expect_size=\"35944448\"] \n  20 [size=\"33710080\", alpha=\"0.03\", expect_size=\"10113024\"] \n  21 [size=\"88651093\", alpha=\"0.09\", expect_size=\"26595328\"] \n  22 [size=\"31645013\", alpha=\"0.01\", expect_size=\"9493504\"] \n  23 [size=\"131945813\", alpha=\"0.05\", expect_size=\"39583744\"] \n  23 -> 25 [size =\"39583744\"]\n  24 [size=\"109963947\", alpha=\"0.19\", expect_size=\"32989184\"] \n  24 -> 25 [size =\"32989184\"]\n  25 [size=\"22831787\", alpha=\"0.19\", expect_size=\"6849536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18749440\", alpha=\"0.03\", expect_size=\"5624832\"] \n  1 -> 24 [size =\"5624832\"]\n  2 [size=\"133399893\", alpha=\"0.18\", expect_size=\"40019968\"] \n  3 [size=\"114916693\", alpha=\"0.03\", expect_size=\"34475008\"] \n  4 [size=\"26313387\", alpha=\"0.02\", expect_size=\"7894016\"] \n  5 [size=\"108789760\", alpha=\"0.14\", expect_size=\"32636928\"] \n  5 -> 25 [size =\"32636928\"]\n  6 [size=\"88145920\", alpha=\"0.17\", expect_size=\"26443776\"] \n  7 [size=\"98443947\", alpha=\"0.08\", expect_size=\"29533184\"] \n  8 [size=\"92842667\", alpha=\"0.18\", expect_size=\"27852800\"] \n  8 -> 25 [size =\"27852800\"]\n  9 [size=\"158894080\", alpha=\"0.18\", expect_size=\"47668224\"] \n  10 [size=\"160450560\", alpha=\"0.13\", expect_size=\"48135168\"] \n  11 [size=\"173776213\", alpha=\"0.06\", expect_size=\"52132864\"] \n  12 [size=\"39997440\", alpha=\"0.06\", expect_size=\"11999232\"] \n  13 [size=\"24941227\", alpha=\"0.05\", expect_size=\"7482368\"] \n  14 [size=\"48407893\", alpha=\"0.12\", expect_size=\"14522368\"] \n  15 [size=\"62603947\", alpha=\"0.02\", expect_size=\"18781184\"] \n  16 [size=\"169724587\", alpha=\"0.17\", expect_size=\"50917376\"] \n  17 [size=\"142670507\", alpha=\"0.08\", expect_size=\"42801152\"] \n  18 [size=\"45161813\", alpha=\"0.18\", expect_size=\"13548544\"] \n  19 [size=\"31798613\", alpha=\"0.06\", expect_size=\"9539584\"] \n  20 [size=\"170376533\", alpha=\"0.10\", expect_size=\"51112960\"] \n  21 [size=\"117135360\", alpha=\"0.15\", expect_size=\"35140608\"] \n  22 [size=\"162884267\", alpha=\"0.14\", expect_size=\"48865280\"] \n  23 [size=\"56265387\", alpha=\"0.06\", expect_size=\"16879616\"] \n  23 -> 24 [size =\"16879616\"]\n  24 [size=\"92064427\", alpha=\"0.19\", expect_size=\"27619328\"] \n  25 [size=\"29644800\", alpha=\"0.03\", expect_size=\"8893440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42827093\", alpha=\"0.03\", expect_size=\"12848128\"] \n  1 -> 3 [size =\"12848128\"]\n  1 -> 4 [size =\"12848128\"]\n  2 [size=\"115049813\", alpha=\"0.14\", expect_size=\"34514944\"] \n  2 -> 3 [size =\"34514944\"]\n  2 -> 4 [size =\"34514944\"]\n  3 [size=\"163054933\", alpha=\"0.06\", expect_size=\"48916480\"] \n  3 -> 6 [size =\"48916480\"]\n  4 [size=\"138564267\", alpha=\"0.10\", expect_size=\"41569280\"] \n  4 -> 5 [size =\"41569280\"]\n  4 -> 6 [size =\"41569280\"]\n  5 [size=\"160962560\", alpha=\"0.08\", expect_size=\"48288768\"] \n  5 -> 8 [size =\"48288768\"]\n  6 [size=\"99068587\", alpha=\"0.08\", expect_size=\"29720576\"] \n  6 -> 7 [size =\"29720576\"]\n  6 -> 8 [size =\"29720576\"]\n  7 [size=\"47254187\", alpha=\"0.08\", expect_size=\"14176256\"] \n  7 -> 9 [size =\"14176256\"]\n  8 [size=\"82005333\", alpha=\"0.11\", expect_size=\"24601600\"] \n  8 -> 9 [size =\"24601600\"]\n  9 [size=\"140011520\", alpha=\"0.05\", expect_size=\"42003456\"] \n  9 -> 10 [size =\"42003456\"]\n  9 -> 11 [size =\"42003456\"]\n  10 [size=\"147964587\", alpha=\"0.06\", expect_size=\"44389376\"] \n  10 -> 12 [size =\"44389376\"]\n  11 [size=\"63395840\", alpha=\"0.18\", expect_size=\"19018752\"] \n  11 -> 12 [size =\"19018752\"]\n  12 [size=\"85613227\", alpha=\"0.04\", expect_size=\"25683968\"] \n  12 -> 13 [size =\"25683968\"]\n  12 -> 14 [size =\"25683968\"]\n  13 [size=\"38406827\", alpha=\"0.01\", expect_size=\"11522048\"] \n  13 -> 15 [size =\"11522048\"]\n  14 [size=\"84527787\", alpha=\"0.11\", expect_size=\"25358336\"] \n  14 -> 15 [size =\"25358336\"]\n  15 [size=\"164215467\", alpha=\"0.02\", expect_size=\"49264640\"] \n  15 -> 16 [size =\"49264640\"]\n  16 [size=\"71727787\", alpha=\"0.08\", expect_size=\"21518336\"] \n  16 -> 17 [size =\"21518336\"]\n  17 [size=\"138243413\", alpha=\"0.18\", expect_size=\"41473024\"] \n  17 -> 18 [size =\"41473024\"]\n  18 [size=\"45335893\", alpha=\"0.10\", expect_size=\"13600768\"] \n  18 -> 19 [size =\"13600768\"]\n  19 [size=\"134669653\", alpha=\"0.06\", expect_size=\"40400896\"] \n  19 -> 20 [size =\"40400896\"]\n  19 -> 21 [size =\"40400896\"]\n  20 [size=\"174049280\", alpha=\"0.09\", expect_size=\"52214784\"] \n  20 -> 22 [size =\"52214784\"]\n  21 [size=\"60948480\", alpha=\"0.15\", expect_size=\"18284544\"] \n  21 -> 22 [size =\"18284544\"]\n  22 [size=\"47752533\", alpha=\"0.13\", expect_size=\"14325760\"] \n  22 -> 23 [size =\"14325760\"]\n  23 [size=\"76366507\", alpha=\"0.10\", expect_size=\"22909952\"] \n  23 -> 24 [size =\"22909952\"]\n  24 [size=\"81343147\", alpha=\"0.03\", expect_size=\"24402944\"] \n  24 -> 25 [size =\"24402944\"]\n  25 [size=\"170820267\", alpha=\"0.13\", expect_size=\"51246080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82183680\", alpha=\"0.05\", expect_size=\"32873472\"] \n  1 -> 3 [size =\"32873472\"]\n  1 -> 4 [size =\"32873472\"]\n  1 -> 5 [size =\"32873472\"]\n  1 -> 6 [size =\"32873472\"]\n  2 [size=\"35328000\", alpha=\"0.10\", expect_size=\"14131200\"] \n  2 -> 3 [size =\"14131200\"]\n  2 -> 6 [size =\"14131200\"]\n  3 [size=\"48345600\", alpha=\"0.06\", expect_size=\"19338240\"] \n  4 [size=\"61342720\", alpha=\"0.11\", expect_size=\"24537088\"] \n  4 -> 7 [size =\"24537088\"]\n  4 -> 8 [size =\"24537088\"]\n  4 -> 9 [size =\"24537088\"]\n  5 [size=\"69355520\", alpha=\"0.05\", expect_size=\"27742208\"] \n  5 -> 7 [size =\"27742208\"]\n  5 -> 10 [size =\"27742208\"]\n  6 [size=\"35850240\", alpha=\"0.18\", expect_size=\"14340096\"] \n  7 [size=\"111449600\", alpha=\"0.04\", expect_size=\"44579840\"] \n  7 -> 11 [size =\"44579840\"]\n  8 [size=\"42882560\", alpha=\"0.04\", expect_size=\"17153024\"] \n  9 [size=\"68080640\", alpha=\"0.18\", expect_size=\"27232256\"] \n  9 -> 13 [size =\"27232256\"]\n  10 [size=\"116362240\", alpha=\"0.10\", expect_size=\"46544896\"] \n  10 -> 12 [size =\"46544896\"]\n  10 -> 13 [size =\"46544896\"]\n  11 [size=\"113384960\", alpha=\"0.07\", expect_size=\"45353984\"] \n  11 -> 15 [size =\"45353984\"]\n  11 -> 16 [size =\"45353984\"]\n  11 -> 17 [size =\"45353984\"]\n  11 -> 18 [size =\"45353984\"]\n  12 [size=\"24138240\", alpha=\"0.11\", expect_size=\"9655296\"] \n  12 -> 14 [size =\"9655296\"]\n  12 -> 15 [size =\"9655296\"]\n  13 [size=\"80755200\", alpha=\"0.02\", expect_size=\"32302080\"] \n  14 [size=\"117762560\", alpha=\"0.13\", expect_size=\"47105024\"] \n  14 -> 21 [size =\"47105024\"]\n  14 -> 22 [size =\"47105024\"]\n  15 [size=\"66437120\", alpha=\"0.19\", expect_size=\"26574848\"] \n  15 -> 19 [size =\"26574848\"]\n  15 -> 20 [size =\"26574848\"]\n  16 [size=\"95892480\", alpha=\"0.18\", expect_size=\"38356992\"] \n  17 [size=\"85268480\", alpha=\"0.13\", expect_size=\"34107392\"] \n  18 [size=\"107822080\", alpha=\"0.16\", expect_size=\"43128832\"] \n  18 -> 20 [size =\"43128832\"]\n  18 -> 21 [size =\"43128832\"]\n  19 [size=\"129146880\", alpha=\"0.14\", expect_size=\"51658752\"] \n  19 -> 23 [size =\"51658752\"]\n  19 -> 24 [size =\"51658752\"]\n  20 [size=\"117329920\", alpha=\"0.10\", expect_size=\"46931968\"] \n  20 -> 24 [size =\"46931968\"]\n  20 -> 25 [size =\"46931968\"]\n  21 [size=\"60797440\", alpha=\"0.18\", expect_size=\"24318976\"] \n  21 -> 25 [size =\"24318976\"]\n  22 [size=\"103633920\", alpha=\"0.09\", expect_size=\"41453568\"] \n  22 -> 23 [size =\"41453568\"]\n  23 [size=\"52689920\", alpha=\"0.07\", expect_size=\"21075968\"] \n  24 [size=\"66465280\", alpha=\"0.12\", expect_size=\"26586112\"] \n  25 [size=\"22269440\", alpha=\"0.07\", expect_size=\"8907776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50796544\", alpha=\"0.05\", expect_size=\"25398272\"] \n  1 -> 11 [size =\"25398272\"]\n  1 -> 15 [size =\"25398272\"]\n  2 [size=\"23951360\", alpha=\"0.11\", expect_size=\"11975680\"] \n  2 -> 11 [size =\"11975680\"]\n  2 -> 15 [size =\"11975680\"]\n  2 -> 17 [size =\"11975680\"]\n  2 -> 19 [size =\"11975680\"]\n  3 [size=\"88643584\", alpha=\"0.15\", expect_size=\"44321792\"] \n  3 -> 11 [size =\"44321792\"]\n  3 -> 17 [size =\"44321792\"]\n  3 -> 19 [size =\"44321792\"]\n  4 [size=\"53469184\", alpha=\"0.04\", expect_size=\"26734592\"] \n  4 -> 10 [size =\"26734592\"]\n  4 -> 11 [size =\"26734592\"]\n  5 [size=\"13537280\", alpha=\"0.13\", expect_size=\"6768640\"] \n  5 -> 16 [size =\"6768640\"]\n  5 -> 19 [size =\"6768640\"]\n  6 [size=\"74311680\", alpha=\"0.00\", expect_size=\"37155840\"] \n  6 -> 18 [size =\"37155840\"]\n  6 -> 19 [size =\"37155840\"]\n  7 [size=\"35557376\", alpha=\"0.12\", expect_size=\"17778688\"] \n  7 -> 10 [size =\"17778688\"]\n  7 -> 14 [size =\"17778688\"]\n  7 -> 18 [size =\"17778688\"]\n  8 [size=\"85981184\", alpha=\"0.14\", expect_size=\"42990592\"] \n  8 -> 12 [size =\"42990592\"]\n  8 -> 13 [size =\"42990592\"]\n  9 [size=\"76642304\", alpha=\"0.05\", expect_size=\"38321152\"] \n  9 -> 10 [size =\"38321152\"]\n  9 -> 15 [size =\"38321152\"]\n  9 -> 16 [size =\"38321152\"]\n  9 -> 17 [size =\"38321152\"]\n  9 -> 20 [size =\"38321152\"]\n  10 [size=\"85463040\", alpha=\"0.00\", expect_size=\"42731520\"] \n  10 -> 25 [size =\"42731520\"]\n  10 -> 25 [size =\"42731520\"]\n  11 [size=\"99923968\", alpha=\"0.02\", expect_size=\"49961984\"] \n  12 [size=\"29816832\", alpha=\"0.01\", expect_size=\"14908416\"] \n  12 -> 22 [size =\"14908416\"]\n  13 [size=\"82423808\", alpha=\"0.17\", expect_size=\"41211904\"] \n  13 -> 21 [size =\"41211904\"]\n  13 -> 24 [size =\"41211904\"]\n  13 -> 25 [size =\"41211904\"]\n  14 [size=\"58726400\", alpha=\"0.01\", expect_size=\"29363200\"] \n  14 -> 21 [size =\"29363200\"]\n  14 -> 25 [size =\"29363200\"]\n  14 -> 25 [size =\"29363200\"]\n  15 [size=\"75325440\", alpha=\"0.00\", expect_size=\"37662720\"] \n  15 -> 22 [size =\"37662720\"]\n  15 -> 23 [size =\"37662720\"]\n  16 [size=\"42459136\", alpha=\"0.01\", expect_size=\"21229568\"] \n  17 [size=\"42668032\", alpha=\"0.08\", expect_size=\"21334016\"] \n  17 -> 21 [size =\"21334016\"]\n  17 -> 22 [size =\"21334016\"]\n  18 [size=\"97081344\", alpha=\"0.10\", expect_size=\"48540672\"] \n  18 -> 22 [size =\"48540672\"]\n  18 -> 23 [size =\"48540672\"]\n  19 [size=\"66467840\", alpha=\"0.16\", expect_size=\"33233920\"] \n  19 -> 22 [size =\"33233920\"]\n  19 -> 23 [size =\"33233920\"]\n  20 [size=\"92340224\", alpha=\"0.14\", expect_size=\"46170112\"] \n  20 -> 23 [size =\"46170112\"]\n  20 -> 25 [size =\"46170112\"]\n  21 [size=\"93083648\", alpha=\"0.00\", expect_size=\"46541824\"] \n  22 [size=\"101566464\", alpha=\"0.09\", expect_size=\"50783232\"] \n  23 [size=\"10962944\", alpha=\"0.15\", expect_size=\"5481472\"] \n  24 [size=\"90171392\", alpha=\"0.10\", expect_size=\"45085696\"] \n  25 [size=\"94478336\", alpha=\"0.05\", expect_size=\"47239168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53805056\", alpha=\"0.19\", expect_size=\"26902528\"] \n  1 -> 2 [size =\"26902528\"]\n  1 -> 3 [size =\"26902528\"]\n  2 [size=\"45164544\", alpha=\"0.04\", expect_size=\"22582272\"] \n  2 -> 4 [size =\"22582272\"]\n  3 [size=\"93566976\", alpha=\"0.04\", expect_size=\"46783488\"] \n  4 [size=\"66709504\", alpha=\"0.16\", expect_size=\"33354752\"] \n  4 -> 5 [size =\"33354752\"]\n  5 [size=\"50991104\", alpha=\"0.08\", expect_size=\"25495552\"] \n  5 -> 6 [size =\"25495552\"]\n  6 [size=\"81922048\", alpha=\"0.13\", expect_size=\"40961024\"] \n  6 -> 7 [size =\"40961024\"]\n  6 -> 8 [size =\"40961024\"]\n  7 [size=\"41033728\", alpha=\"0.17\", expect_size=\"20516864\"] \n  7 -> 9 [size =\"20516864\"]\n  8 [size=\"37107712\", alpha=\"0.01\", expect_size=\"18553856\"] \n  8 -> 9 [size =\"18553856\"]\n  9 [size=\"87599104\", alpha=\"0.09\", expect_size=\"43799552\"] \n  9 -> 10 [size =\"43799552\"]\n  10 [size=\"91318272\", alpha=\"0.05\", expect_size=\"45659136\"] \n  10 -> 11 [size =\"45659136\"]\n  10 -> 12 [size =\"45659136\"]\n  11 [size=\"95684608\", alpha=\"0.11\", expect_size=\"47842304\"] \n  12 [size=\"92182528\", alpha=\"0.13\", expect_size=\"46091264\"] \n  12 -> 13 [size =\"46091264\"]\n  13 [size=\"18841600\", alpha=\"0.09\", expect_size=\"9420800\"] \n  13 -> 14 [size =\"9420800\"]\n  14 [size=\"35661824\", alpha=\"0.18\", expect_size=\"17830912\"] \n  14 -> 15 [size =\"17830912\"]\n  14 -> 16 [size =\"17830912\"]\n  15 [size=\"18368512\", alpha=\"0.16\", expect_size=\"9184256\"] \n  15 -> 17 [size =\"9184256\"]\n  15 -> 18 [size =\"9184256\"]\n  16 [size=\"54685696\", alpha=\"0.15\", expect_size=\"27342848\"] \n  17 [size=\"21102592\", alpha=\"0.18\", expect_size=\"10551296\"] \n  18 [size=\"98975744\", alpha=\"0.09\", expect_size=\"49487872\"] \n  18 -> 19 [size =\"49487872\"]\n  19 [size=\"102639616\", alpha=\"0.16\", expect_size=\"51319808\"] \n  19 -> 20 [size =\"51319808\"]\n  20 [size=\"50599936\", alpha=\"0.17\", expect_size=\"25299968\"] \n  20 -> 21 [size =\"25299968\"]\n  20 -> 22 [size =\"25299968\"]\n  21 [size=\"72251392\", alpha=\"0.08\", expect_size=\"36125696\"] \n  21 -> 23 [size =\"36125696\"]\n  21 -> 24 [size =\"36125696\"]\n  22 [size=\"28862464\", alpha=\"0.06\", expect_size=\"14431232\"] \n  22 -> 23 [size =\"14431232\"]\n  22 -> 24 [size =\"14431232\"]\n  23 [size=\"90273792\", alpha=\"0.02\", expect_size=\"45136896\"] \n  23 -> 25 [size =\"45136896\"]\n  24 [size=\"39045120\", alpha=\"0.10\", expect_size=\"19522560\"] \n  24 -> 25 [size =\"19522560\"]\n  25 [size=\"30660608\", alpha=\"0.06\", expect_size=\"15330304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126006613\", alpha=\"0.00\", expect_size=\"37801984\"] \n  1 -> 10 [size =\"37801984\"]\n  1 -> 12 [size =\"37801984\"]\n  1 -> 14 [size =\"37801984\"]\n  1 -> 16 [size =\"37801984\"]\n  1 -> 17 [size =\"37801984\"]\n  2 [size=\"83415040\", alpha=\"0.01\", expect_size=\"25024512\"] \n  2 -> 10 [size =\"25024512\"]\n  2 -> 11 [size =\"25024512\"]\n  2 -> 13 [size =\"25024512\"]\n  2 -> 15 [size =\"25024512\"]\n  2 -> 16 [size =\"25024512\"]\n  3 [size=\"30477653\", alpha=\"0.17\", expect_size=\"9143296\"] \n  3 -> 15 [size =\"9143296\"]\n  3 -> 16 [size =\"9143296\"]\n  4 [size=\"30989653\", alpha=\"0.10\", expect_size=\"9296896\"] \n  4 -> 10 [size =\"9296896\"]\n  4 -> 11 [size =\"9296896\"]\n  4 -> 16 [size =\"9296896\"]\n  4 -> 17 [size =\"9296896\"]\n  5 [size=\"41570987\", alpha=\"0.11\", expect_size=\"12471296\"] \n  5 -> 10 [size =\"12471296\"]\n  5 -> 16 [size =\"12471296\"]\n  5 -> 16 [size =\"12471296\"]\n  5 -> 17 [size =\"12471296\"]\n  6 [size=\"149466453\", alpha=\"0.02\", expect_size=\"44839936\"] \n  6 -> 10 [size =\"44839936\"]\n  6 -> 13 [size =\"44839936\"]\n  6 -> 17 [size =\"44839936\"]\n  6 -> 17 [size =\"44839936\"]\n  7 [size=\"169809920\", alpha=\"0.19\", expect_size=\"50942976\"] \n  7 -> 10 [size =\"50942976\"]\n  7 -> 16 [size =\"50942976\"]\n  7 -> 17 [size =\"50942976\"]\n  8 [size=\"148138667\", alpha=\"0.02\", expect_size=\"44441600\"] \n  8 -> 11 [size =\"44441600\"]\n  8 -> 15 [size =\"44441600\"]\n  9 [size=\"92375040\", alpha=\"0.09\", expect_size=\"27712512\"] \n  10 [size=\"119473493\", alpha=\"0.16\", expect_size=\"35842048\"] \n  10 -> 19 [size =\"35842048\"]\n  10 -> 20 [size =\"35842048\"]\n  10 -> 21 [size =\"35842048\"]\n  10 -> 23 [size =\"35842048\"]\n  11 [size=\"108506453\", alpha=\"0.09\", expect_size=\"32551936\"] \n  11 -> 21 [size =\"32551936\"]\n  11 -> 22 [size =\"32551936\"]\n  11 -> 23 [size =\"32551936\"]\n  11 -> 24 [size =\"32551936\"]\n  12 [size=\"109281280\", alpha=\"0.14\", expect_size=\"32784384\"] \n  12 -> 18 [size =\"32784384\"]\n  12 -> 19 [size =\"32784384\"]\n  12 -> 21 [size =\"32784384\"]\n  12 -> 25 [size =\"32784384\"]\n  13 [size=\"119528107\", alpha=\"0.09\", expect_size=\"35858432\"] \n  13 -> 18 [size =\"35858432\"]\n  13 -> 20 [size =\"35858432\"]\n  13 -> 21 [size =\"35858432\"]\n  13 -> 25 [size =\"35858432\"]\n  14 [size=\"96494933\", alpha=\"0.09\", expect_size=\"28948480\"] \n  14 -> 18 [size =\"28948480\"]\n  14 -> 22 [size =\"28948480\"]\n  14 -> 24 [size =\"28948480\"]\n  14 -> 25 [size =\"28948480\"]\n  15 [size=\"20394667\", alpha=\"0.01\", expect_size=\"6118400\"] \n  16 [size=\"109561173\", alpha=\"0.14\", expect_size=\"32868352\"] \n  16 -> 19 [size =\"32868352\"]\n  16 -> 23 [size =\"32868352\"]\n  16 -> 24 [size =\"32868352\"]\n  17 [size=\"124955307\", alpha=\"0.14\", expect_size=\"37486592\"] \n  17 -> 21 [size =\"37486592\"]\n  17 -> 24 [size =\"37486592\"]\n  18 [size=\"117592747\", alpha=\"0.19\", expect_size=\"35277824\"] \n  19 [size=\"130686293\", alpha=\"0.02\", expect_size=\"39205888\"] \n  20 [size=\"40523093\", alpha=\"0.17\", expect_size=\"12156928\"] \n  21 [size=\"169058987\", alpha=\"0.06\", expect_size=\"50717696\"] \n  22 [size=\"80994987\", alpha=\"0.04\", expect_size=\"24298496\"] \n  23 [size=\"34734080\", alpha=\"0.03\", expect_size=\"10420224\"] \n  24 [size=\"102720853\", alpha=\"0.04\", expect_size=\"30816256\"] \n  25 [size=\"171639467\", alpha=\"0.08\", expect_size=\"51491840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13228032\", alpha=\"0.20\", expect_size=\"6614016\"] \n  1 -> 20 [size =\"6614016\"]\n  1 -> 21 [size =\"6614016\"]\n  2 [size=\"51898368\", alpha=\"0.07\", expect_size=\"25949184\"] \n  2 -> 19 [size =\"25949184\"]\n  2 -> 21 [size =\"25949184\"]\n  2 -> 22 [size =\"25949184\"]\n  2 -> 24 [size =\"25949184\"]\n  3 [size=\"73422848\", alpha=\"0.15\", expect_size=\"36711424\"] \n  3 -> 18 [size =\"36711424\"]\n  3 -> 20 [size =\"36711424\"]\n  3 -> 22 [size =\"36711424\"]\n  3 -> 25 [size =\"36711424\"]\n  4 [size=\"73375744\", alpha=\"0.02\", expect_size=\"36687872\"] \n  4 -> 20 [size =\"36687872\"]\n  5 [size=\"103569408\", alpha=\"0.20\", expect_size=\"51784704\"] \n  5 -> 16 [size =\"51784704\"]\n  5 -> 19 [size =\"51784704\"]\n  5 -> 20 [size =\"51784704\"]\n  5 -> 22 [size =\"51784704\"]\n  6 [size=\"65214464\", alpha=\"0.09\", expect_size=\"32607232\"] \n  6 -> 17 [size =\"32607232\"]\n  6 -> 20 [size =\"32607232\"]\n  6 -> 23 [size =\"32607232\"]\n  6 -> 25 [size =\"32607232\"]\n  7 [size=\"78825472\", alpha=\"0.08\", expect_size=\"39412736\"] \n  7 -> 20 [size =\"39412736\"]\n  7 -> 21 [size =\"39412736\"]\n  7 -> 22 [size =\"39412736\"]\n  7 -> 25 [size =\"39412736\"]\n  8 [size=\"26857472\", alpha=\"0.14\", expect_size=\"13428736\"] \n  8 -> 16 [size =\"13428736\"]\n  8 -> 18 [size =\"13428736\"]\n  8 -> 23 [size =\"13428736\"]\n  9 [size=\"102656000\", alpha=\"0.16\", expect_size=\"51328000\"] \n  9 -> 22 [size =\"51328000\"]\n  9 -> 25 [size =\"51328000\"]\n  10 [size=\"12691456\", alpha=\"0.03\", expect_size=\"6345728\"] \n  10 -> 16 [size =\"6345728\"]\n  10 -> 19 [size =\"6345728\"]\n  11 [size=\"79759360\", alpha=\"0.09\", expect_size=\"39879680\"] \n  11 -> 16 [size =\"39879680\"]\n  11 -> 18 [size =\"39879680\"]\n  11 -> 22 [size =\"39879680\"]\n  11 -> 23 [size =\"39879680\"]\n  12 [size=\"78239744\", alpha=\"0.12\", expect_size=\"39119872\"] \n  12 -> 16 [size =\"39119872\"]\n  12 -> 17 [size =\"39119872\"]\n  12 -> 18 [size =\"39119872\"]\n  12 -> 21 [size =\"39119872\"]\n  12 -> 23 [size =\"39119872\"]\n  12 -> 24 [size =\"39119872\"]\n  13 [size=\"16652288\", alpha=\"0.17\", expect_size=\"8326144\"] \n  13 -> 16 [size =\"8326144\"]\n  13 -> 20 [size =\"8326144\"]\n  13 -> 21 [size =\"8326144\"]\n  14 [size=\"86038528\", alpha=\"0.14\", expect_size=\"43019264\"] \n  14 -> 18 [size =\"43019264\"]\n  14 -> 19 [size =\"43019264\"]\n  15 [size=\"95240192\", alpha=\"0.15\", expect_size=\"47620096\"] \n  15 -> 18 [size =\"47620096\"]\n  15 -> 22 [size =\"47620096\"]\n  16 [size=\"93775872\", alpha=\"0.20\", expect_size=\"46887936\"] \n  17 [size=\"40097792\", alpha=\"0.01\", expect_size=\"20048896\"] \n  18 [size=\"76892160\", alpha=\"0.16\", expect_size=\"38446080\"] \n  19 [size=\"47261696\", alpha=\"0.03\", expect_size=\"23630848\"] \n  20 [size=\"26466304\", alpha=\"0.10\", expect_size=\"13233152\"] \n  21 [size=\"39493632\", alpha=\"0.17\", expect_size=\"19746816\"] \n  22 [size=\"83046400\", alpha=\"0.14\", expect_size=\"41523200\"] \n  23 [size=\"44791808\", alpha=\"0.03\", expect_size=\"22395904\"] \n  24 [size=\"29403136\", alpha=\"0.06\", expect_size=\"14701568\"] \n  25 [size=\"96774144\", alpha=\"0.09\", expect_size=\"48387072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91500544\", alpha=\"0.07\", expect_size=\"45750272\"] \n  1 -> 6 [size =\"45750272\"]\n  1 -> 9 [size =\"45750272\"]\n  2 [size=\"99670016\", alpha=\"0.08\", expect_size=\"49835008\"] \n  2 -> 8 [size =\"49835008\"]\n  3 [size=\"82493440\", alpha=\"0.14\", expect_size=\"41246720\"] \n  4 [size=\"77625344\", alpha=\"0.20\", expect_size=\"38812672\"] \n  5 [size=\"91635712\", alpha=\"0.12\", expect_size=\"45817856\"] \n  5 -> 7 [size =\"45817856\"]\n  6 [size=\"83083264\", alpha=\"0.04\", expect_size=\"41541632\"] \n  6 -> 13 [size =\"41541632\"]\n  6 -> 16 [size =\"41541632\"]\n  7 [size=\"39987200\", alpha=\"0.05\", expect_size=\"19993600\"] \n  7 -> 12 [size =\"19993600\"]\n  7 -> 17 [size =\"19993600\"]\n  7 -> 18 [size =\"19993600\"]\n  8 [size=\"73236480\", alpha=\"0.15\", expect_size=\"36618240\"] \n  8 -> 10 [size =\"36618240\"]\n  8 -> 11 [size =\"36618240\"]\n  8 -> 14 [size =\"36618240\"]\n  8 -> 15 [size =\"36618240\"]\n  8 -> 17 [size =\"36618240\"]\n  8 -> 19 [size =\"36618240\"]\n  9 [size=\"103813120\", alpha=\"0.12\", expect_size=\"51906560\"] \n  9 -> 13 [size =\"51906560\"]\n  9 -> 14 [size =\"51906560\"]\n  10 [size=\"16986112\", alpha=\"0.05\", expect_size=\"8493056\"] \n  10 -> 21 [size =\"8493056\"]\n  10 -> 22 [size =\"8493056\"]\n  10 -> 24 [size =\"8493056\"]\n  11 [size=\"61290496\", alpha=\"0.03\", expect_size=\"30645248\"] \n  11 -> 20 [size =\"30645248\"]\n  11 -> 21 [size =\"30645248\"]\n  11 -> 24 [size =\"30645248\"]\n  12 [size=\"95483904\", alpha=\"0.09\", expect_size=\"47741952\"] \n  13 [size=\"40787968\", alpha=\"0.19\", expect_size=\"20393984\"] \n  13 -> 22 [size =\"20393984\"]\n  13 -> 23 [size =\"20393984\"]\n  13 -> 24 [size =\"20393984\"]\n  14 [size=\"11565056\", alpha=\"0.18\", expect_size=\"5782528\"] \n  14 -> 25 [size =\"5782528\"]\n  15 [size=\"10729472\", alpha=\"0.11\", expect_size=\"5364736\"] \n  15 -> 20 [size =\"5364736\"]\n  15 -> 22 [size =\"5364736\"]\n  15 -> 25 [size =\"5364736\"]\n  16 [size=\"68478976\", alpha=\"0.09\", expect_size=\"34239488\"] \n  16 -> 20 [size =\"34239488\"]\n  16 -> 23 [size =\"34239488\"]\n  17 [size=\"86022144\", alpha=\"0.08\", expect_size=\"43011072\"] \n  17 -> 24 [size =\"43011072\"]\n  18 [size=\"15271936\", alpha=\"0.16\", expect_size=\"7635968\"] \n  18 -> 20 [size =\"7635968\"]\n  18 -> 21 [size =\"7635968\"]\n  18 -> 24 [size =\"7635968\"]\n  19 [size=\"87015424\", alpha=\"0.10\", expect_size=\"43507712\"] \n  19 -> 21 [size =\"43507712\"]\n  19 -> 21 [size =\"43507712\"]\n  19 -> 22 [size =\"43507712\"]\n  19 -> 23 [size =\"43507712\"]\n  20 [size=\"50739200\", alpha=\"0.04\", expect_size=\"25369600\"] \n  21 [size=\"75042816\", alpha=\"0.16\", expect_size=\"37521408\"] \n  22 [size=\"88922112\", alpha=\"0.07\", expect_size=\"44461056\"] \n  23 [size=\"35670016\", alpha=\"0.13\", expect_size=\"17835008\"] \n  24 [size=\"29884416\", alpha=\"0.13\", expect_size=\"14942208\"] \n  25 [size=\"22650880\", alpha=\"0.10\", expect_size=\"11325440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33641813\", alpha=\"0.06\", expect_size=\"10092544\"] \n  1 -> 12 [size =\"10092544\"]\n  1 -> 13 [size =\"10092544\"]\n  1 -> 17 [size =\"10092544\"]\n  2 [size=\"29446827\", alpha=\"0.18\", expect_size=\"8834048\"] \n  2 -> 12 [size =\"8834048\"]\n  2 -> 16 [size =\"8834048\"]\n  3 [size=\"30033920\", alpha=\"0.16\", expect_size=\"9010176\"] \n  3 -> 12 [size =\"9010176\"]\n  3 -> 13 [size =\"9010176\"]\n  4 [size=\"171779413\", alpha=\"0.19\", expect_size=\"51533824\"] \n  4 -> 11 [size =\"51533824\"]\n  5 [size=\"158419627\", alpha=\"0.03\", expect_size=\"47525888\"] \n  5 -> 11 [size =\"47525888\"]\n  5 -> 12 [size =\"47525888\"]\n  5 -> 17 [size =\"47525888\"]\n  6 [size=\"171813547\", alpha=\"0.00\", expect_size=\"51544064\"] \n  6 -> 11 [size =\"51544064\"]\n  6 -> 12 [size =\"51544064\"]\n  6 -> 18 [size =\"51544064\"]\n  7 [size=\"139188907\", alpha=\"0.13\", expect_size=\"41756672\"] \n  7 -> 12 [size =\"41756672\"]\n  7 -> 15 [size =\"41756672\"]\n  7 -> 16 [size =\"41756672\"]\n  7 -> 18 [size =\"41756672\"]\n  8 [size=\"46547627\", alpha=\"0.16\", expect_size=\"13964288\"] \n  8 -> 14 [size =\"13964288\"]\n  8 -> 16 [size =\"13964288\"]\n  8 -> 17 [size =\"13964288\"]\n  9 [size=\"115237547\", alpha=\"0.06\", expect_size=\"34571264\"] \n  9 -> 17 [size =\"34571264\"]\n  10 [size=\"66539520\", alpha=\"0.13\", expect_size=\"19961856\"] \n  10 -> 17 [size =\"19961856\"]\n  10 -> 18 [size =\"19961856\"]\n  11 [size=\"104277333\", alpha=\"0.17\", expect_size=\"31283200\"] \n  11 -> 20 [size =\"31283200\"]\n  12 [size=\"154989227\", alpha=\"0.08\", expect_size=\"46496768\"] \n  12 -> 21 [size =\"46496768\"]\n  12 -> 24 [size =\"46496768\"]\n  13 [size=\"137560747\", alpha=\"0.13\", expect_size=\"41268224\"] \n  13 -> 19 [size =\"41268224\"]\n  13 -> 20 [size =\"41268224\"]\n  13 -> 21 [size =\"41268224\"]\n  13 -> 23 [size =\"41268224\"]\n  14 [size=\"108349440\", alpha=\"0.19\", expect_size=\"32504832\"] \n  14 -> 20 [size =\"32504832\"]\n  14 -> 25 [size =\"32504832\"]\n  15 [size=\"100949333\", alpha=\"0.13\", expect_size=\"30284800\"] \n  15 -> 19 [size =\"30284800\"]\n  15 -> 21 [size =\"30284800\"]\n  15 -> 22 [size =\"30284800\"]\n  16 [size=\"122501120\", alpha=\"0.15\", expect_size=\"36750336\"] \n  16 -> 20 [size =\"36750336\"]\n  16 -> 22 [size =\"36750336\"]\n  16 -> 22 [size =\"36750336\"]\n  17 [size=\"124603733\", alpha=\"0.19\", expect_size=\"37381120\"] \n  17 -> 20 [size =\"37381120\"]\n  17 -> 21 [size =\"37381120\"]\n  17 -> 22 [size =\"37381120\"]\n  17 -> 24 [size =\"37381120\"]\n  17 -> 25 [size =\"37381120\"]\n  18 [size=\"70710613\", alpha=\"0.11\", expect_size=\"21213184\"] \n  18 -> 19 [size =\"21213184\"]\n  18 -> 20 [size =\"21213184\"]\n  18 -> 22 [size =\"21213184\"]\n  18 -> 25 [size =\"21213184\"]\n  19 [size=\"41540267\", alpha=\"0.04\", expect_size=\"12462080\"] \n  20 [size=\"85070507\", alpha=\"0.12\", expect_size=\"25521152\"] \n  21 [size=\"28235093\", alpha=\"0.03\", expect_size=\"8470528\"] \n  22 [size=\"163075413\", alpha=\"0.15\", expect_size=\"48922624\"] \n  23 [size=\"66034347\", alpha=\"0.09\", expect_size=\"19810304\"] \n  24 [size=\"168895147\", alpha=\"0.03\", expect_size=\"50668544\"] \n  25 [size=\"161959253\", alpha=\"0.14\", expect_size=\"48587776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64346112\", alpha=\"0.17\", expect_size=\"32173056\"] \n  1 -> 2 [size =\"32173056\"]\n  2 [size=\"95285248\", alpha=\"0.08\", expect_size=\"47642624\"] \n  2 -> 3 [size =\"47642624\"]\n  2 -> 4 [size =\"47642624\"]\n  3 [size=\"20193280\", alpha=\"0.03\", expect_size=\"10096640\"] \n  3 -> 5 [size =\"10096640\"]\n  4 [size=\"15925248\", alpha=\"0.10\", expect_size=\"7962624\"] \n  5 [size=\"41656320\", alpha=\"0.11\", expect_size=\"20828160\"] \n  5 -> 6 [size =\"20828160\"]\n  5 -> 7 [size =\"20828160\"]\n  6 [size=\"42430464\", alpha=\"0.08\", expect_size=\"21215232\"] \n  6 -> 8 [size =\"21215232\"]\n  7 [size=\"65413120\", alpha=\"0.13\", expect_size=\"32706560\"] \n  8 [size=\"46411776\", alpha=\"0.13\", expect_size=\"23205888\"] \n  8 -> 9 [size =\"23205888\"]\n  8 -> 10 [size =\"23205888\"]\n  9 [size=\"22786048\", alpha=\"0.06\", expect_size=\"11393024\"] \n  9 -> 12 [size =\"11393024\"]\n  10 [size=\"96772096\", alpha=\"0.14\", expect_size=\"48386048\"] \n  10 -> 11 [size =\"48386048\"]\n  11 [size=\"32174080\", alpha=\"0.07\", expect_size=\"16087040\"] \n  11 -> 14 [size =\"16087040\"]\n  12 [size=\"19673088\", alpha=\"0.01\", expect_size=\"9836544\"] \n  12 -> 13 [size =\"9836544\"]\n  13 [size=\"55699456\", alpha=\"0.08\", expect_size=\"27849728\"] \n  14 [size=\"69181440\", alpha=\"0.13\", expect_size=\"34590720\"] \n  14 -> 15 [size =\"34590720\"]\n  14 -> 16 [size =\"34590720\"]\n  15 [size=\"22992896\", alpha=\"0.01\", expect_size=\"11496448\"] \n  15 -> 18 [size =\"11496448\"]\n  16 [size=\"74035200\", alpha=\"0.13\", expect_size=\"37017600\"] \n  16 -> 17 [size =\"37017600\"]\n  17 [size=\"15953920\", alpha=\"0.16\", expect_size=\"7976960\"] \n  17 -> 19 [size =\"7976960\"]\n  18 [size=\"76984320\", alpha=\"0.12\", expect_size=\"38492160\"] \n  18 -> 20 [size =\"38492160\"]\n  19 [size=\"43436032\", alpha=\"0.03\", expect_size=\"21718016\"] \n  19 -> 21 [size =\"21718016\"]\n  19 -> 22 [size =\"21718016\"]\n  20 [size=\"69830656\", alpha=\"0.03\", expect_size=\"34915328\"] \n  21 [size=\"42692608\", alpha=\"0.14\", expect_size=\"21346304\"] \n  21 -> 23 [size =\"21346304\"]\n  22 [size=\"77977600\", alpha=\"0.03\", expect_size=\"38988800\"] \n  23 [size=\"80547840\", alpha=\"0.14\", expect_size=\"40273920\"] \n  23 -> 24 [size =\"40273920\"]\n  24 [size=\"25935872\", alpha=\"0.06\", expect_size=\"12967936\"] \n  24 -> 25 [size =\"12967936\"]\n  25 [size=\"87187456\", alpha=\"0.05\", expect_size=\"43593728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16747520\", alpha=\"0.08\", expect_size=\"6699008\"] \n  1 -> 2 [size =\"6699008\"]\n  2 [size=\"75888640\", alpha=\"0.06\", expect_size=\"30355456\"] \n  2 -> 3 [size =\"30355456\"]\n  3 [size=\"102717440\", alpha=\"0.15\", expect_size=\"41086976\"] \n  3 -> 4 [size =\"41086976\"]\n  4 [size=\"30353920\", alpha=\"0.19\", expect_size=\"12141568\"] \n  4 -> 5 [size =\"12141568\"]\n  5 [size=\"92152320\", alpha=\"0.01\", expect_size=\"36860928\"] \n  5 -> 6 [size =\"36860928\"]\n  6 [size=\"83020800\", alpha=\"0.00\", expect_size=\"33208320\"] \n  6 -> 7 [size =\"33208320\"]\n  7 [size=\"93726720\", alpha=\"0.09\", expect_size=\"37490688\"] \n  7 -> 8 [size =\"37490688\"]\n  8 [size=\"121978880\", alpha=\"0.13\", expect_size=\"48791552\"] \n  8 -> 9 [size =\"48791552\"]\n  9 [size=\"34639360\", alpha=\"0.09\", expect_size=\"13855744\"] \n  9 -> 10 [size =\"13855744\"]\n  10 [size=\"34263040\", alpha=\"0.12\", expect_size=\"13705216\"] \n  10 -> 11 [size =\"13705216\"]\n  11 [size=\"106211840\", alpha=\"0.05\", expect_size=\"42484736\"] \n  11 -> 12 [size =\"42484736\"]\n  12 [size=\"36723200\", alpha=\"0.06\", expect_size=\"14689280\"] \n  12 -> 13 [size =\"14689280\"]\n  13 [size=\"70241280\", alpha=\"0.17\", expect_size=\"28096512\"] \n  13 -> 14 [size =\"28096512\"]\n  14 [size=\"39029760\", alpha=\"0.18\", expect_size=\"15611904\"] \n  14 -> 15 [size =\"15611904\"]\n  15 [size=\"32204800\", alpha=\"0.12\", expect_size=\"12881920\"] \n  15 -> 16 [size =\"12881920\"]\n  16 [size=\"38648320\", alpha=\"0.13\", expect_size=\"15459328\"] \n  16 -> 17 [size =\"15459328\"]\n  17 [size=\"40801280\", alpha=\"0.04\", expect_size=\"16320512\"] \n  17 -> 18 [size =\"16320512\"]\n  18 [size=\"92718080\", alpha=\"0.04\", expect_size=\"37087232\"] \n  18 -> 19 [size =\"37087232\"]\n  19 [size=\"49960960\", alpha=\"0.19\", expect_size=\"19984384\"] \n  19 -> 20 [size =\"19984384\"]\n  20 [size=\"102438400\", alpha=\"0.04\", expect_size=\"40975360\"] \n  20 -> 21 [size =\"40975360\"]\n  21 [size=\"54394880\", alpha=\"0.10\", expect_size=\"21757952\"] \n  21 -> 22 [size =\"21757952\"]\n  22 [size=\"84398080\", alpha=\"0.06\", expect_size=\"33759232\"] \n  22 -> 23 [size =\"33759232\"]\n  23 [size=\"119426560\", alpha=\"0.18\", expect_size=\"47770624\"] \n  23 -> 24 [size =\"47770624\"]\n  24 [size=\"102551040\", alpha=\"0.13\", expect_size=\"41020416\"] \n  24 -> 25 [size =\"41020416\"]\n  25 [size=\"87879680\", alpha=\"0.01\", expect_size=\"35151872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103661568\", alpha=\"0.06\", expect_size=\"51830784\"] \n  1 -> 2 [size =\"51830784\"]\n  2 [size=\"77912064\", alpha=\"0.00\", expect_size=\"38956032\"] \n  2 -> 3 [size =\"38956032\"]\n  3 [size=\"72577024\", alpha=\"0.12\", expect_size=\"36288512\"] \n  3 -> 4 [size =\"36288512\"]\n  4 [size=\"27840512\", alpha=\"0.05\", expect_size=\"13920256\"] \n  4 -> 5 [size =\"13920256\"]\n  5 [size=\"98154496\", alpha=\"0.19\", expect_size=\"49077248\"] \n  5 -> 6 [size =\"49077248\"]\n  6 [size=\"12380160\", alpha=\"0.15\", expect_size=\"6190080\"] \n  6 -> 7 [size =\"6190080\"]\n  7 [size=\"49428480\", alpha=\"0.13\", expect_size=\"24714240\"] \n  7 -> 8 [size =\"24714240\"]\n  8 [size=\"17168384\", alpha=\"0.08\", expect_size=\"8584192\"] \n  8 -> 9 [size =\"8584192\"]\n  9 [size=\"30920704\", alpha=\"0.17\", expect_size=\"15460352\"] \n  9 -> 10 [size =\"15460352\"]\n  10 [size=\"40865792\", alpha=\"0.05\", expect_size=\"20432896\"] \n  10 -> 11 [size =\"20432896\"]\n  11 [size=\"47450112\", alpha=\"0.06\", expect_size=\"23725056\"] \n  11 -> 12 [size =\"23725056\"]\n  12 [size=\"76075008\", alpha=\"0.20\", expect_size=\"38037504\"] \n  12 -> 13 [size =\"38037504\"]\n  13 [size=\"77819904\", alpha=\"0.10\", expect_size=\"38909952\"] \n  13 -> 14 [size =\"38909952\"]\n  14 [size=\"37820416\", alpha=\"0.17\", expect_size=\"18910208\"] \n  14 -> 15 [size =\"18910208\"]\n  15 [size=\"59140096\", alpha=\"0.10\", expect_size=\"29570048\"] \n  15 -> 16 [size =\"29570048\"]\n  16 [size=\"54521856\", alpha=\"0.20\", expect_size=\"27260928\"] \n  16 -> 17 [size =\"27260928\"]\n  17 [size=\"30042112\", alpha=\"0.02\", expect_size=\"15021056\"] \n  17 -> 18 [size =\"15021056\"]\n  18 [size=\"91205632\", alpha=\"0.20\", expect_size=\"45602816\"] \n  18 -> 19 [size =\"45602816\"]\n  19 [size=\"32413696\", alpha=\"0.09\", expect_size=\"16206848\"] \n  19 -> 20 [size =\"16206848\"]\n  20 [size=\"16599040\", alpha=\"0.17\", expect_size=\"8299520\"] \n  20 -> 21 [size =\"8299520\"]\n  21 [size=\"37959680\", alpha=\"0.04\", expect_size=\"18979840\"] \n  21 -> 22 [size =\"18979840\"]\n  22 [size=\"67381248\", alpha=\"0.06\", expect_size=\"33690624\"] \n  22 -> 23 [size =\"33690624\"]\n  23 [size=\"66123776\", alpha=\"0.01\", expect_size=\"33061888\"] \n  23 -> 24 [size =\"33061888\"]\n  24 [size=\"19453952\", alpha=\"0.19\", expect_size=\"9726976\"] \n  24 -> 25 [size =\"9726976\"]\n  25 [size=\"99782656\", alpha=\"0.17\", expect_size=\"49891328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82978816\", alpha=\"0.18\", expect_size=\"41489408\"] \n  1 -> 4 [size =\"41489408\"]\n  2 [size=\"21137408\", alpha=\"0.17\", expect_size=\"10568704\"] \n  2 -> 3 [size =\"10568704\"]\n  2 -> 4 [size =\"10568704\"]\n  3 [size=\"24760320\", alpha=\"0.19\", expect_size=\"12380160\"] \n  3 -> 6 [size =\"12380160\"]\n  4 [size=\"59828224\", alpha=\"0.18\", expect_size=\"29914112\"] \n  4 -> 5 [size =\"29914112\"]\n  5 [size=\"88242176\", alpha=\"0.12\", expect_size=\"44121088\"] \n  5 -> 7 [size =\"44121088\"]\n  5 -> 8 [size =\"44121088\"]\n  6 [size=\"57481216\", alpha=\"0.05\", expect_size=\"28740608\"] \n  6 -> 8 [size =\"28740608\"]\n  7 [size=\"29165568\", alpha=\"0.15\", expect_size=\"14582784\"] \n  8 [size=\"66613248\", alpha=\"0.00\", expect_size=\"33306624\"] \n  8 -> 9 [size =\"33306624\"]\n  8 -> 10 [size =\"33306624\"]\n  9 [size=\"53377024\", alpha=\"0.04\", expect_size=\"26688512\"] \n  9 -> 11 [size =\"26688512\"]\n  10 [size=\"75251712\", alpha=\"0.16\", expect_size=\"37625856\"] \n  11 [size=\"92178432\", alpha=\"0.07\", expect_size=\"46089216\"] \n  11 -> 12 [size =\"46089216\"]\n  12 [size=\"81985536\", alpha=\"0.01\", expect_size=\"40992768\"] \n  12 -> 13 [size =\"40992768\"]\n  13 [size=\"67465216\", alpha=\"0.02\", expect_size=\"33732608\"] \n  13 -> 14 [size =\"33732608\"]\n  14 [size=\"64120832\", alpha=\"0.17\", expect_size=\"32060416\"] \n  14 -> 15 [size =\"32060416\"]\n  15 [size=\"56762368\", alpha=\"0.02\", expect_size=\"28381184\"] \n  15 -> 16 [size =\"28381184\"]\n  15 -> 17 [size =\"28381184\"]\n  16 [size=\"17772544\", alpha=\"0.01\", expect_size=\"8886272\"] \n  16 -> 18 [size =\"8886272\"]\n  16 -> 19 [size =\"8886272\"]\n  17 [size=\"42166272\", alpha=\"0.02\", expect_size=\"21083136\"] \n  18 [size=\"16891904\", alpha=\"0.10\", expect_size=\"8445952\"] \n  18 -> 20 [size =\"8445952\"]\n  19 [size=\"16936960\", alpha=\"0.10\", expect_size=\"8468480\"] \n  20 [size=\"36286464\", alpha=\"0.18\", expect_size=\"18143232\"] \n  20 -> 21 [size =\"18143232\"]\n  21 [size=\"16807936\", alpha=\"0.01\", expect_size=\"8403968\"] \n  21 -> 22 [size =\"8403968\"]\n  22 [size=\"48805888\", alpha=\"0.07\", expect_size=\"24402944\"] \n  22 -> 23 [size =\"24402944\"]\n  22 -> 24 [size =\"24402944\"]\n  23 [size=\"55296000\", alpha=\"0.16\", expect_size=\"27648000\"] \n  23 -> 25 [size =\"27648000\"]\n  24 [size=\"66297856\", alpha=\"0.15\", expect_size=\"33148928\"] \n  25 [size=\"50556928\", alpha=\"0.11\", expect_size=\"25278464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36196352\", alpha=\"0.01\", expect_size=\"18098176\"] \n  1 -> 24 [size =\"18098176\"]\n  2 [size=\"61235200\", alpha=\"0.10\", expect_size=\"30617600\"] \n  2 -> 20 [size =\"30617600\"]\n  2 -> 23 [size =\"30617600\"]\n  2 -> 24 [size =\"30617600\"]\n  3 [size=\"100380672\", alpha=\"0.18\", expect_size=\"50190336\"] \n  3 -> 20 [size =\"50190336\"]\n  3 -> 24 [size =\"50190336\"]\n  3 -> 25 [size =\"50190336\"]\n  4 [size=\"99516416\", alpha=\"0.17\", expect_size=\"49758208\"] \n  4 -> 20 [size =\"49758208\"]\n  4 -> 25 [size =\"49758208\"]\n  4 -> 25 [size =\"49758208\"]\n  5 [size=\"93646848\", alpha=\"0.01\", expect_size=\"46823424\"] \n  5 -> 23 [size =\"46823424\"]\n  5 -> 24 [size =\"46823424\"]\n  6 [size=\"85456896\", alpha=\"0.04\", expect_size=\"42728448\"] \n  6 -> 20 [size =\"42728448\"]\n  6 -> 21 [size =\"42728448\"]\n  7 [size=\"34531328\", alpha=\"0.15\", expect_size=\"17265664\"] \n  7 -> 22 [size =\"17265664\"]\n  7 -> 23 [size =\"17265664\"]\n  7 -> 24 [size =\"17265664\"]\n  8 [size=\"94486528\", alpha=\"0.08\", expect_size=\"47243264\"] \n  8 -> 20 [size =\"47243264\"]\n  8 -> 21 [size =\"47243264\"]\n  8 -> 23 [size =\"47243264\"]\n  9 [size=\"99041280\", alpha=\"0.02\", expect_size=\"49520640\"] \n  9 -> 20 [size =\"49520640\"]\n  9 -> 23 [size =\"49520640\"]\n  10 [size=\"52662272\", alpha=\"0.20\", expect_size=\"26331136\"] \n  10 -> 23 [size =\"26331136\"]\n  10 -> 24 [size =\"26331136\"]\n  10 -> 25 [size =\"26331136\"]\n  11 [size=\"52615168\", alpha=\"0.06\", expect_size=\"26307584\"] \n  11 -> 21 [size =\"26307584\"]\n  11 -> 23 [size =\"26307584\"]\n  12 [size=\"58968064\", alpha=\"0.00\", expect_size=\"29484032\"] \n  12 -> 20 [size =\"29484032\"]\n  12 -> 21 [size =\"29484032\"]\n  12 -> 23 [size =\"29484032\"]\n  13 [size=\"10485760\", alpha=\"0.19\", expect_size=\"5242880\"] \n  13 -> 20 [size =\"5242880\"]\n  14 [size=\"93360128\", alpha=\"0.19\", expect_size=\"46680064\"] \n  14 -> 20 [size =\"46680064\"]\n  15 [size=\"77791232\", alpha=\"0.19\", expect_size=\"38895616\"] \n  15 -> 20 [size =\"38895616\"]\n  15 -> 21 [size =\"38895616\"]\n  15 -> 22 [size =\"38895616\"]\n  16 [size=\"81803264\", alpha=\"0.08\", expect_size=\"40901632\"] \n  16 -> 20 [size =\"40901632\"]\n  16 -> 21 [size =\"40901632\"]\n  17 [size=\"102189056\", alpha=\"0.05\", expect_size=\"51094528\"] \n  17 -> 20 [size =\"51094528\"]\n  17 -> 21 [size =\"51094528\"]\n  17 -> 23 [size =\"51094528\"]\n  17 -> 24 [size =\"51094528\"]\n  18 [size=\"78843904\", alpha=\"0.15\", expect_size=\"39421952\"] \n  18 -> 22 [size =\"39421952\"]\n  18 -> 23 [size =\"39421952\"]\n  18 -> 24 [size =\"39421952\"]\n  19 [size=\"24549376\", alpha=\"0.17\", expect_size=\"12274688\"] \n  19 -> 20 [size =\"12274688\"]\n  19 -> 23 [size =\"12274688\"]\n  20 [size=\"34873344\", alpha=\"0.07\", expect_size=\"17436672\"] \n  21 [size=\"34103296\", alpha=\"0.03\", expect_size=\"17051648\"] \n  22 [size=\"62869504\", alpha=\"0.09\", expect_size=\"31434752\"] \n  23 [size=\"63037440\", alpha=\"0.15\", expect_size=\"31518720\"] \n  24 [size=\"57456640\", alpha=\"0.19\", expect_size=\"28728320\"] \n  25 [size=\"52705280\", alpha=\"0.01\", expect_size=\"26352640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17313280\", alpha=\"0.10\", expect_size=\"6925312\"] \n  1 -> 7 [size =\"6925312\"]\n  2 [size=\"50017280\", alpha=\"0.05\", expect_size=\"20006912\"] \n  2 -> 6 [size =\"20006912\"]\n  2 -> 7 [size =\"20006912\"]\n  3 [size=\"107850240\", alpha=\"0.09\", expect_size=\"43140096\"] \n  3 -> 4 [size =\"43140096\"]\n  3 -> 5 [size =\"43140096\"]\n  4 [size=\"110095360\", alpha=\"0.01\", expect_size=\"44038144\"] \n  4 -> 9 [size =\"44038144\"]\n  4 -> 10 [size =\"44038144\"]\n  5 [size=\"112980480\", alpha=\"0.07\", expect_size=\"45192192\"] \n  5 -> 11 [size =\"45192192\"]\n  6 [size=\"45224960\", alpha=\"0.05\", expect_size=\"18089984\"] \n  6 -> 8 [size =\"18089984\"]\n  6 -> 10 [size =\"18089984\"]\n  7 [size=\"14005760\", alpha=\"0.02\", expect_size=\"5602304\"] \n  7 -> 8 [size =\"5602304\"]\n  7 -> 9 [size =\"5602304\"]\n  8 [size=\"13381120\", alpha=\"0.00\", expect_size=\"5352448\"] \n  8 -> 12 [size =\"5352448\"]\n  8 -> 13 [size =\"5352448\"]\n  8 -> 14 [size =\"5352448\"]\n  9 [size=\"44241920\", alpha=\"0.15\", expect_size=\"17696768\"] \n  9 -> 14 [size =\"17696768\"]\n  9 -> 15 [size =\"17696768\"]\n  10 [size=\"110755840\", alpha=\"0.19\", expect_size=\"44302336\"] \n  10 -> 12 [size =\"44302336\"]\n  10 -> 13 [size =\"44302336\"]\n  11 [size=\"94325760\", alpha=\"0.03\", expect_size=\"37730304\"] \n  11 -> 15 [size =\"37730304\"]\n  12 [size=\"34521600\", alpha=\"0.14\", expect_size=\"13808640\"] \n  13 [size=\"64371200\", alpha=\"0.07\", expect_size=\"25748480\"] \n  13 -> 18 [size =\"25748480\"]\n  13 -> 19 [size =\"25748480\"]\n  14 [size=\"116979200\", alpha=\"0.11\", expect_size=\"46791680\"] \n  14 -> 16 [size =\"46791680\"]\n  14 -> 17 [size =\"46791680\"]\n  15 [size=\"123650560\", alpha=\"0.14\", expect_size=\"49460224\"] \n  15 -> 16 [size =\"49460224\"]\n  16 [size=\"49016320\", alpha=\"0.20\", expect_size=\"19606528\"] \n  16 -> 20 [size =\"19606528\"]\n  16 -> 22 [size =\"19606528\"]\n  17 [size=\"78696960\", alpha=\"0.02\", expect_size=\"31478784\"] \n  17 -> 20 [size =\"31478784\"]\n  17 -> 21 [size =\"31478784\"]\n  18 [size=\"88563200\", alpha=\"0.10\", expect_size=\"35425280\"] \n  19 [size=\"90585600\", alpha=\"0.09\", expect_size=\"36234240\"] \n  20 [size=\"63982080\", alpha=\"0.06\", expect_size=\"25592832\"] \n  20 -> 25 [size =\"25592832\"]\n  21 [size=\"60648960\", alpha=\"0.05\", expect_size=\"24259584\"] \n  21 -> 23 [size =\"24259584\"]\n  22 [size=\"76971520\", alpha=\"0.10\", expect_size=\"30788608\"] \n  22 -> 24 [size =\"30788608\"]\n  23 [size=\"42624000\", alpha=\"0.11\", expect_size=\"17049600\"] \n  24 [size=\"85696000\", alpha=\"0.08\", expect_size=\"34278400\"] \n  25 [size=\"31641600\", alpha=\"0.03\", expect_size=\"12656640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46166016\", alpha=\"0.19\", expect_size=\"23083008\"] \n  1 -> 17 [size =\"23083008\"]\n  1 -> 19 [size =\"23083008\"]\n  1 -> 20 [size =\"23083008\"]\n  1 -> 25 [size =\"23083008\"]\n  2 [size=\"102950912\", alpha=\"0.11\", expect_size=\"51475456\"] \n  2 -> 17 [size =\"51475456\"]\n  2 -> 22 [size =\"51475456\"]\n  2 -> 23 [size =\"51475456\"]\n  2 -> 25 [size =\"51475456\"]\n  3 [size=\"16519168\", alpha=\"0.18\", expect_size=\"8259584\"] \n  3 -> 22 [size =\"8259584\"]\n  4 [size=\"35733504\", alpha=\"0.19\", expect_size=\"17866752\"] \n  4 -> 20 [size =\"17866752\"]\n  4 -> 21 [size =\"17866752\"]\n  4 -> 22 [size =\"17866752\"]\n  5 [size=\"44898304\", alpha=\"0.08\", expect_size=\"22449152\"] \n  5 -> 18 [size =\"22449152\"]\n  5 -> 19 [size =\"22449152\"]\n  5 -> 22 [size =\"22449152\"]\n  5 -> 25 [size =\"22449152\"]\n  6 [size=\"40964096\", alpha=\"0.01\", expect_size=\"20482048\"] \n  6 -> 17 [size =\"20482048\"]\n  6 -> 22 [size =\"20482048\"]\n  6 -> 25 [size =\"20482048\"]\n  7 [size=\"95342592\", alpha=\"0.03\", expect_size=\"47671296\"] \n  7 -> 17 [size =\"47671296\"]\n  7 -> 18 [size =\"47671296\"]\n  7 -> 20 [size =\"47671296\"]\n  7 -> 23 [size =\"47671296\"]\n  8 [size=\"22894592\", alpha=\"0.18\", expect_size=\"11447296\"] \n  8 -> 17 [size =\"11447296\"]\n  8 -> 22 [size =\"11447296\"]\n  8 -> 24 [size =\"11447296\"]\n  9 [size=\"91295744\", alpha=\"0.16\", expect_size=\"45647872\"] \n  9 -> 17 [size =\"45647872\"]\n  9 -> 20 [size =\"45647872\"]\n  9 -> 22 [size =\"45647872\"]\n  9 -> 23 [size =\"45647872\"]\n  9 -> 25 [size =\"45647872\"]\n  10 [size=\"17276928\", alpha=\"0.18\", expect_size=\"8638464\"] \n  10 -> 17 [size =\"8638464\"]\n  10 -> 20 [size =\"8638464\"]\n  10 -> 21 [size =\"8638464\"]\n  10 -> 22 [size =\"8638464\"]\n  10 -> 25 [size =\"8638464\"]\n  11 [size=\"95068160\", alpha=\"0.07\", expect_size=\"47534080\"] \n  11 -> 17 [size =\"47534080\"]\n  11 -> 20 [size =\"47534080\"]\n  11 -> 22 [size =\"47534080\"]\n  11 -> 22 [size =\"47534080\"]\n  11 -> 24 [size =\"47534080\"]\n  12 [size=\"88801280\", alpha=\"0.05\", expect_size=\"44400640\"] \n  12 -> 17 [size =\"44400640\"]\n  12 -> 18 [size =\"44400640\"]\n  12 -> 20 [size =\"44400640\"]\n  12 -> 22 [size =\"44400640\"]\n  12 -> 23 [size =\"44400640\"]\n  12 -> 25 [size =\"44400640\"]\n  13 [size=\"48601088\", alpha=\"0.17\", expect_size=\"24300544\"] \n  13 -> 17 [size =\"24300544\"]\n  13 -> 18 [size =\"24300544\"]\n  13 -> 20 [size =\"24300544\"]\n  14 [size=\"38619136\", alpha=\"0.03\", expect_size=\"19309568\"] \n  14 -> 17 [size =\"19309568\"]\n  14 -> 22 [size =\"19309568\"]\n  15 [size=\"32485376\", alpha=\"0.12\", expect_size=\"16242688\"] \n  15 -> 17 [size =\"16242688\"]\n  15 -> 20 [size =\"16242688\"]\n  16 [size=\"70367232\", alpha=\"0.18\", expect_size=\"35183616\"] \n  16 -> 17 [size =\"35183616\"]\n  16 -> 18 [size =\"35183616\"]\n  16 -> 21 [size =\"35183616\"]\n  16 -> 25 [size =\"35183616\"]\n  17 [size=\"73623552\", alpha=\"0.07\", expect_size=\"36811776\"] \n  18 [size=\"87973888\", alpha=\"0.17\", expect_size=\"43986944\"] \n  19 [size=\"76271616\", alpha=\"0.07\", expect_size=\"38135808\"] \n  20 [size=\"56068096\", alpha=\"0.11\", expect_size=\"28034048\"] \n  21 [size=\"45096960\", alpha=\"0.04\", expect_size=\"22548480\"] \n  22 [size=\"76748800\", alpha=\"0.16\", expect_size=\"38374400\"] \n  23 [size=\"100610048\", alpha=\"0.09\", expect_size=\"50305024\"] \n  24 [size=\"87361536\", alpha=\"0.08\", expect_size=\"43680768\"] \n  25 [size=\"103346176\", alpha=\"0.14\", expect_size=\"51673088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89556992\", alpha=\"0.08\", expect_size=\"44778496\"] \n  1 -> 2 [size =\"44778496\"]\n  2 [size=\"55291904\", alpha=\"0.10\", expect_size=\"27645952\"] \n  2 -> 3 [size =\"27645952\"]\n  3 [size=\"85037056\", alpha=\"0.09\", expect_size=\"42518528\"] \n  3 -> 4 [size =\"42518528\"]\n  4 [size=\"93777920\", alpha=\"0.18\", expect_size=\"46888960\"] \n  4 -> 5 [size =\"46888960\"]\n  5 [size=\"12652544\", alpha=\"0.11\", expect_size=\"6326272\"] \n  5 -> 6 [size =\"6326272\"]\n  6 [size=\"85995520\", alpha=\"0.03\", expect_size=\"42997760\"] \n  6 -> 7 [size =\"42997760\"]\n  7 [size=\"49539072\", alpha=\"0.10\", expect_size=\"24769536\"] \n  7 -> 8 [size =\"24769536\"]\n  8 [size=\"82393088\", alpha=\"0.17\", expect_size=\"41196544\"] \n  8 -> 9 [size =\"41196544\"]\n  9 [size=\"101961728\", alpha=\"0.08\", expect_size=\"50980864\"] \n  9 -> 10 [size =\"50980864\"]\n  10 [size=\"13115392\", alpha=\"0.06\", expect_size=\"6557696\"] \n  10 -> 11 [size =\"6557696\"]\n  11 [size=\"100855808\", alpha=\"0.01\", expect_size=\"50427904\"] \n  11 -> 12 [size =\"50427904\"]\n  12 [size=\"43755520\", alpha=\"0.15\", expect_size=\"21877760\"] \n  12 -> 13 [size =\"21877760\"]\n  13 [size=\"88987648\", alpha=\"0.13\", expect_size=\"44493824\"] \n  13 -> 14 [size =\"44493824\"]\n  14 [size=\"38373376\", alpha=\"0.06\", expect_size=\"19186688\"] \n  14 -> 15 [size =\"19186688\"]\n  15 [size=\"27645952\", alpha=\"0.12\", expect_size=\"13822976\"] \n  15 -> 16 [size =\"13822976\"]\n  16 [size=\"80750592\", alpha=\"0.07\", expect_size=\"40375296\"] \n  16 -> 17 [size =\"40375296\"]\n  17 [size=\"95455232\", alpha=\"0.03\", expect_size=\"47727616\"] \n  17 -> 18 [size =\"47727616\"]\n  18 [size=\"48818176\", alpha=\"0.03\", expect_size=\"24409088\"] \n  18 -> 19 [size =\"24409088\"]\n  19 [size=\"35592192\", alpha=\"0.02\", expect_size=\"17796096\"] \n  19 -> 20 [size =\"17796096\"]\n  20 [size=\"73986048\", alpha=\"0.01\", expect_size=\"36993024\"] \n  20 -> 21 [size =\"36993024\"]\n  21 [size=\"100806656\", alpha=\"0.17\", expect_size=\"50403328\"] \n  21 -> 22 [size =\"50403328\"]\n  22 [size=\"12507136\", alpha=\"0.03\", expect_size=\"6253568\"] \n  22 -> 23 [size =\"6253568\"]\n  23 [size=\"85088256\", alpha=\"0.04\", expect_size=\"42544128\"] \n  23 -> 24 [size =\"42544128\"]\n  24 [size=\"49717248\", alpha=\"0.03\", expect_size=\"24858624\"] \n  24 -> 25 [size =\"24858624\"]\n  25 [size=\"76519424\", alpha=\"0.02\", expect_size=\"38259712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37629952\", alpha=\"0.05\", expect_size=\"18814976\"] \n  1 -> 2 [size =\"18814976\"]\n  2 [size=\"71784448\", alpha=\"0.14\", expect_size=\"35892224\"] \n  2 -> 3 [size =\"35892224\"]\n  3 [size=\"74622976\", alpha=\"0.16\", expect_size=\"37311488\"] \n  3 -> 4 [size =\"37311488\"]\n  4 [size=\"49188864\", alpha=\"0.03\", expect_size=\"24594432\"] \n  4 -> 5 [size =\"24594432\"]\n  5 [size=\"83105792\", alpha=\"0.18\", expect_size=\"41552896\"] \n  5 -> 6 [size =\"41552896\"]\n  6 [size=\"30513152\", alpha=\"0.06\", expect_size=\"15256576\"] \n  6 -> 7 [size =\"15256576\"]\n  7 [size=\"69345280\", alpha=\"0.03\", expect_size=\"34672640\"] \n  7 -> 8 [size =\"34672640\"]\n  8 [size=\"93999104\", alpha=\"0.00\", expect_size=\"46999552\"] \n  8 -> 9 [size =\"46999552\"]\n  9 [size=\"102121472\", alpha=\"0.14\", expect_size=\"51060736\"] \n  9 -> 10 [size =\"51060736\"]\n  10 [size=\"69777408\", alpha=\"0.16\", expect_size=\"34888704\"] \n  10 -> 11 [size =\"34888704\"]\n  11 [size=\"58142720\", alpha=\"0.10\", expect_size=\"29071360\"] \n  11 -> 12 [size =\"29071360\"]\n  12 [size=\"83677184\", alpha=\"0.06\", expect_size=\"41838592\"] \n  12 -> 13 [size =\"41838592\"]\n  13 [size=\"54622208\", alpha=\"0.12\", expect_size=\"27311104\"] \n  13 -> 14 [size =\"27311104\"]\n  14 [size=\"33581056\", alpha=\"0.01\", expect_size=\"16790528\"] \n  14 -> 15 [size =\"16790528\"]\n  15 [size=\"46374912\", alpha=\"0.15\", expect_size=\"23187456\"] \n  15 -> 16 [size =\"23187456\"]\n  16 [size=\"38449152\", alpha=\"0.07\", expect_size=\"19224576\"] \n  16 -> 17 [size =\"19224576\"]\n  17 [size=\"69087232\", alpha=\"0.03\", expect_size=\"34543616\"] \n  17 -> 18 [size =\"34543616\"]\n  18 [size=\"83060736\", alpha=\"0.11\", expect_size=\"41530368\"] \n  18 -> 19 [size =\"41530368\"]\n  19 [size=\"84862976\", alpha=\"0.02\", expect_size=\"42431488\"] \n  19 -> 20 [size =\"42431488\"]\n  20 [size=\"56287232\", alpha=\"0.13\", expect_size=\"28143616\"] \n  20 -> 21 [size =\"28143616\"]\n  21 [size=\"37498880\", alpha=\"0.09\", expect_size=\"18749440\"] \n  21 -> 22 [size =\"18749440\"]\n  22 [size=\"82997248\", alpha=\"0.18\", expect_size=\"41498624\"] \n  22 -> 23 [size =\"41498624\"]\n  23 [size=\"16285696\", alpha=\"0.01\", expect_size=\"8142848\"] \n  23 -> 24 [size =\"8142848\"]\n  24 [size=\"70856704\", alpha=\"0.12\", expect_size=\"35428352\"] \n  24 -> 25 [size =\"35428352\"]\n  25 [size=\"73728000\", alpha=\"0.19\", expect_size=\"36864000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13805568\", alpha=\"0.12\", expect_size=\"6902784\"] \n  1 -> 9 [size =\"6902784\"]\n  1 -> 11 [size =\"6902784\"]\n  1 -> 13 [size =\"6902784\"]\n  1 -> 14 [size =\"6902784\"]\n  2 [size=\"89888768\", alpha=\"0.02\", expect_size=\"44944384\"] \n  2 -> 10 [size =\"44944384\"]\n  2 -> 11 [size =\"44944384\"]\n  2 -> 12 [size =\"44944384\"]\n  2 -> 13 [size =\"44944384\"]\n  2 -> 14 [size =\"44944384\"]\n  3 [size=\"99954688\", alpha=\"0.14\", expect_size=\"49977344\"] \n  3 -> 9 [size =\"49977344\"]\n  3 -> 10 [size =\"49977344\"]\n  3 -> 11 [size =\"49977344\"]\n  3 -> 13 [size =\"49977344\"]\n  3 -> 14 [size =\"49977344\"]\n  4 [size=\"80553984\", alpha=\"0.14\", expect_size=\"40276992\"] \n  4 -> 9 [size =\"40276992\"]\n  4 -> 10 [size =\"40276992\"]\n  4 -> 11 [size =\"40276992\"]\n  4 -> 12 [size =\"40276992\"]\n  4 -> 13 [size =\"40276992\"]\n  4 -> 14 [size =\"40276992\"]\n  5 [size=\"103688192\", alpha=\"0.19\", expect_size=\"51844096\"] \n  5 -> 8 [size =\"51844096\"]\n  5 -> 9 [size =\"51844096\"]\n  5 -> 10 [size =\"51844096\"]\n  5 -> 12 [size =\"51844096\"]\n  5 -> 13 [size =\"51844096\"]\n  5 -> 14 [size =\"51844096\"]\n  6 [size=\"10659840\", alpha=\"0.15\", expect_size=\"5329920\"] \n  6 -> 8 [size =\"5329920\"]\n  6 -> 10 [size =\"5329920\"]\n  6 -> 13 [size =\"5329920\"]\n  6 -> 14 [size =\"5329920\"]\n  7 [size=\"44918784\", alpha=\"0.17\", expect_size=\"22459392\"] \n  7 -> 8 [size =\"22459392\"]\n  7 -> 11 [size =\"22459392\"]\n  7 -> 13 [size =\"22459392\"]\n  7 -> 14 [size =\"22459392\"]\n  8 [size=\"33816576\", alpha=\"0.03\", expect_size=\"16908288\"] \n  8 -> 15 [size =\"16908288\"]\n  8 -> 16 [size =\"16908288\"]\n  8 -> 17 [size =\"16908288\"]\n  8 -> 19 [size =\"16908288\"]\n  8 -> 20 [size =\"16908288\"]\n  8 -> 21 [size =\"16908288\"]\n  8 -> 23 [size =\"16908288\"]\n  9 [size=\"89346048\", alpha=\"0.08\", expect_size=\"44673024\"] \n  9 -> 15 [size =\"44673024\"]\n  9 -> 18 [size =\"44673024\"]\n  9 -> 19 [size =\"44673024\"]\n  9 -> 19 [size =\"44673024\"]\n  9 -> 20 [size =\"44673024\"]\n  9 -> 21 [size =\"44673024\"]\n  9 -> 23 [size =\"44673024\"]\n  10 [size=\"18262016\", alpha=\"0.02\", expect_size=\"9131008\"] \n  10 -> 15 [size =\"9131008\"]\n  10 -> 18 [size =\"9131008\"]\n  10 -> 19 [size =\"9131008\"]\n  10 -> 20 [size =\"9131008\"]\n  10 -> 21 [size =\"9131008\"]\n  10 -> 22 [size =\"9131008\"]\n  11 [size=\"53227520\", alpha=\"0.08\", expect_size=\"26613760\"] \n  11 -> 15 [size =\"26613760\"]\n  11 -> 17 [size =\"26613760\"]\n  11 -> 18 [size =\"26613760\"]\n  11 -> 24 [size =\"26613760\"]\n  12 [size=\"13694976\", alpha=\"0.06\", expect_size=\"6847488\"] \n  12 -> 15 [size =\"6847488\"]\n  12 -> 17 [size =\"6847488\"]\n  12 -> 18 [size =\"6847488\"]\n  12 -> 19 [size =\"6847488\"]\n  12 -> 20 [size =\"6847488\"]\n  12 -> 21 [size =\"6847488\"]\n  12 -> 23 [size =\"6847488\"]\n  13 [size=\"24217600\", alpha=\"0.11\", expect_size=\"12108800\"] \n  13 -> 17 [size =\"12108800\"]\n  13 -> 17 [size =\"12108800\"]\n  13 -> 18 [size =\"12108800\"]\n  13 -> 20 [size =\"12108800\"]\n  13 -> 23 [size =\"12108800\"]\n  14 [size=\"91531264\", alpha=\"0.07\", expect_size=\"45765632\"] \n  14 -> 15 [size =\"45765632\"]\n  14 -> 18 [size =\"45765632\"]\n  14 -> 18 [size =\"45765632\"]\n  14 -> 19 [size =\"45765632\"]\n  14 -> 20 [size =\"45765632\"]\n  14 -> 24 [size =\"45765632\"]\n  15 [size=\"61276160\", alpha=\"0.15\", expect_size=\"30638080\"] \n  16 [size=\"58542080\", alpha=\"0.11\", expect_size=\"29271040\"] \n  17 [size=\"36255744\", alpha=\"0.18\", expect_size=\"18127872\"] \n  18 [size=\"20537344\", alpha=\"0.20\", expect_size=\"10268672\"] \n  19 [size=\"35491840\", alpha=\"0.09\", expect_size=\"17745920\"] \n  20 [size=\"75143168\", alpha=\"0.03\", expect_size=\"37571584\"] \n  20 -> 25 [size =\"37571584\"]\n  21 [size=\"85456896\", alpha=\"0.19\", expect_size=\"42728448\"] \n  22 [size=\"29612032\", alpha=\"0.11\", expect_size=\"14806016\"] \n  23 [size=\"57761792\", alpha=\"0.02\", expect_size=\"28880896\"] \n  24 [size=\"13326336\", alpha=\"0.08\", expect_size=\"6663168\"] \n  25 [size=\"44849152\", alpha=\"0.14\", expect_size=\"22424576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65016320\", alpha=\"0.16\", expect_size=\"26006528\"] \n  1 -> 4 [size =\"26006528\"]\n  1 -> 5 [size =\"26006528\"]\n  1 -> 6 [size =\"26006528\"]\n  1 -> 7 [size =\"26006528\"]\n  2 [size=\"128317440\", alpha=\"0.01\", expect_size=\"51326976\"] \n  3 [size=\"55206400\", alpha=\"0.02\", expect_size=\"22082560\"] \n  3 -> 6 [size =\"22082560\"]\n  4 [size=\"114931200\", alpha=\"0.08\", expect_size=\"45972480\"] \n  4 -> 9 [size =\"45972480\"]\n  5 [size=\"112151040\", alpha=\"0.08\", expect_size=\"44860416\"] \n  5 -> 8 [size =\"44860416\"]\n  5 -> 10 [size =\"44860416\"]\n  6 [size=\"105914880\", alpha=\"0.16\", expect_size=\"42365952\"] \n  7 [size=\"98595840\", alpha=\"0.02\", expect_size=\"39438336\"] \n  8 [size=\"77143040\", alpha=\"0.04\", expect_size=\"30857216\"] \n  8 -> 11 [size =\"30857216\"]\n  9 [size=\"14338560\", alpha=\"0.10\", expect_size=\"5735424\"] \n  9 -> 11 [size =\"5735424\"]\n  9 -> 12 [size =\"5735424\"]\n  10 [size=\"16217600\", alpha=\"0.05\", expect_size=\"6487040\"] \n  11 [size=\"111744000\", alpha=\"0.15\", expect_size=\"44697600\"] \n  11 -> 14 [size =\"44697600\"]\n  12 [size=\"86899200\", alpha=\"0.17\", expect_size=\"34759680\"] \n  12 -> 13 [size =\"34759680\"]\n  12 -> 15 [size =\"34759680\"]\n  13 [size=\"90058240\", alpha=\"0.13\", expect_size=\"36023296\"] \n  13 -> 16 [size =\"36023296\"]\n  13 -> 17 [size =\"36023296\"]\n  13 -> 19 [size =\"36023296\"]\n  13 -> 20 [size =\"36023296\"]\n  14 [size=\"103334400\", alpha=\"0.12\", expect_size=\"41333760\"] \n  14 -> 16 [size =\"41333760\"]\n  14 -> 20 [size =\"41333760\"]\n  15 [size=\"29634560\", alpha=\"0.02\", expect_size=\"11853824\"] \n  15 -> 18 [size =\"11853824\"]\n  16 [size=\"76208640\", alpha=\"0.14\", expect_size=\"30483456\"] \n  16 -> 24 [size =\"30483456\"]\n  17 [size=\"55098880\", alpha=\"0.06\", expect_size=\"22039552\"] \n  17 -> 22 [size =\"22039552\"]\n  18 [size=\"65126400\", alpha=\"0.08\", expect_size=\"26050560\"] \n  18 -> 21 [size =\"26050560\"]\n  18 -> 23 [size =\"26050560\"]\n  19 [size=\"88307200\", alpha=\"0.03\", expect_size=\"35322880\"] \n  19 -> 23 [size =\"35322880\"]\n  20 [size=\"29496320\", alpha=\"0.06\", expect_size=\"11798528\"] \n  20 -> 21 [size =\"11798528\"]\n  20 -> 23 [size =\"11798528\"]\n  20 -> 25 [size =\"11798528\"]\n  21 [size=\"59537920\", alpha=\"0.18\", expect_size=\"23815168\"] \n  22 [size=\"32501760\", alpha=\"0.09\", expect_size=\"13000704\"] \n  23 [size=\"14039040\", alpha=\"0.08\", expect_size=\"5615616\"] \n  24 [size=\"91056640\", alpha=\"0.03\", expect_size=\"36422656\"] \n  25 [size=\"44362240\", alpha=\"0.16\", expect_size=\"17744896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27140096\", alpha=\"0.09\", expect_size=\"13570048\"] \n  1 -> 2 [size =\"13570048\"]\n  2 [size=\"31240192\", alpha=\"0.08\", expect_size=\"15620096\"] \n  2 -> 3 [size =\"15620096\"]\n  3 [size=\"95684608\", alpha=\"0.16\", expect_size=\"47842304\"] \n  3 -> 4 [size =\"47842304\"]\n  4 [size=\"63059968\", alpha=\"0.00\", expect_size=\"31529984\"] \n  4 -> 5 [size =\"31529984\"]\n  5 [size=\"65845248\", alpha=\"0.03\", expect_size=\"32922624\"] \n  5 -> 6 [size =\"32922624\"]\n  6 [size=\"61673472\", alpha=\"0.01\", expect_size=\"30836736\"] \n  6 -> 7 [size =\"30836736\"]\n  7 [size=\"92413952\", alpha=\"0.16\", expect_size=\"46206976\"] \n  7 -> 8 [size =\"46206976\"]\n  8 [size=\"94982144\", alpha=\"0.06\", expect_size=\"47491072\"] \n  8 -> 9 [size =\"47491072\"]\n  9 [size=\"24768512\", alpha=\"0.18\", expect_size=\"12384256\"] \n  9 -> 10 [size =\"12384256\"]\n  10 [size=\"24410112\", alpha=\"0.05\", expect_size=\"12205056\"] \n  10 -> 11 [size =\"12205056\"]\n  11 [size=\"50022400\", alpha=\"0.15\", expect_size=\"25011200\"] \n  11 -> 12 [size =\"25011200\"]\n  12 [size=\"93906944\", alpha=\"0.09\", expect_size=\"46953472\"] \n  12 -> 13 [size =\"46953472\"]\n  13 [size=\"38686720\", alpha=\"0.03\", expect_size=\"19343360\"] \n  13 -> 14 [size =\"19343360\"]\n  14 [size=\"21866496\", alpha=\"0.02\", expect_size=\"10933248\"] \n  14 -> 15 [size =\"10933248\"]\n  15 [size=\"23056384\", alpha=\"0.11\", expect_size=\"11528192\"] \n  15 -> 16 [size =\"11528192\"]\n  16 [size=\"35788800\", alpha=\"0.01\", expect_size=\"17894400\"] \n  16 -> 17 [size =\"17894400\"]\n  17 [size=\"38205440\", alpha=\"0.20\", expect_size=\"19102720\"] \n  17 -> 18 [size =\"19102720\"]\n  18 [size=\"20408320\", alpha=\"0.13\", expect_size=\"10204160\"] \n  18 -> 19 [size =\"10204160\"]\n  19 [size=\"47130624\", alpha=\"0.19\", expect_size=\"23565312\"] \n  19 -> 20 [size =\"23565312\"]\n  20 [size=\"38944768\", alpha=\"0.09\", expect_size=\"19472384\"] \n  20 -> 21 [size =\"19472384\"]\n  21 [size=\"63920128\", alpha=\"0.02\", expect_size=\"31960064\"] \n  21 -> 22 [size =\"31960064\"]\n  22 [size=\"38334464\", alpha=\"0.00\", expect_size=\"19167232\"] \n  22 -> 23 [size =\"19167232\"]\n  23 [size=\"80926720\", alpha=\"0.16\", expect_size=\"40463360\"] \n  23 -> 24 [size =\"40463360\"]\n  24 [size=\"93278208\", alpha=\"0.03\", expect_size=\"46639104\"] \n  24 -> 25 [size =\"46639104\"]\n  25 [size=\"101457920\", alpha=\"0.02\", expect_size=\"50728960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29319680\", alpha=\"0.07\", expect_size=\"11727872\"] \n  1 -> 2 [size =\"11727872\"]\n  2 [size=\"61204480\", alpha=\"0.03\", expect_size=\"24481792\"] \n  2 -> 3 [size =\"24481792\"]\n  3 [size=\"108387840\", alpha=\"0.13\", expect_size=\"43355136\"] \n  3 -> 4 [size =\"43355136\"]\n  4 [size=\"25192960\", alpha=\"0.06\", expect_size=\"10077184\"] \n  4 -> 5 [size =\"10077184\"]\n  5 [size=\"113861120\", alpha=\"0.10\", expect_size=\"45544448\"] \n  5 -> 6 [size =\"45544448\"]\n  6 [size=\"128609280\", alpha=\"0.15\", expect_size=\"51443712\"] \n  6 -> 7 [size =\"51443712\"]\n  7 [size=\"25735680\", alpha=\"0.20\", expect_size=\"10294272\"] \n  7 -> 8 [size =\"10294272\"]\n  8 [size=\"78307840\", alpha=\"0.10\", expect_size=\"31323136\"] \n  8 -> 9 [size =\"31323136\"]\n  9 [size=\"35970560\", alpha=\"0.15\", expect_size=\"14388224\"] \n  9 -> 10 [size =\"14388224\"]\n  10 [size=\"48087040\", alpha=\"0.07\", expect_size=\"19234816\"] \n  10 -> 11 [size =\"19234816\"]\n  11 [size=\"74961920\", alpha=\"0.15\", expect_size=\"29984768\"] \n  11 -> 12 [size =\"29984768\"]\n  12 [size=\"116500480\", alpha=\"0.01\", expect_size=\"46600192\"] \n  12 -> 13 [size =\"46600192\"]\n  13 [size=\"15249920\", alpha=\"0.14\", expect_size=\"6099968\"] \n  13 -> 14 [size =\"6099968\"]\n  14 [size=\"92183040\", alpha=\"0.20\", expect_size=\"36873216\"] \n  14 -> 15 [size =\"36873216\"]\n  15 [size=\"125524480\", alpha=\"0.17\", expect_size=\"50209792\"] \n  15 -> 16 [size =\"50209792\"]\n  16 [size=\"68142080\", alpha=\"0.05\", expect_size=\"27256832\"] \n  16 -> 17 [size =\"27256832\"]\n  17 [size=\"35740160\", alpha=\"0.05\", expect_size=\"14296064\"] \n  17 -> 18 [size =\"14296064\"]\n  18 [size=\"34711040\", alpha=\"0.06\", expect_size=\"13884416\"] \n  18 -> 19 [size =\"13884416\"]\n  19 [size=\"92288000\", alpha=\"0.16\", expect_size=\"36915200\"] \n  19 -> 20 [size =\"36915200\"]\n  20 [size=\"63872000\", alpha=\"0.19\", expect_size=\"25548800\"] \n  20 -> 21 [size =\"25548800\"]\n  21 [size=\"104995840\", alpha=\"0.04\", expect_size=\"41998336\"] \n  21 -> 22 [size =\"41998336\"]\n  22 [size=\"72903680\", alpha=\"0.17\", expect_size=\"29161472\"] \n  22 -> 23 [size =\"29161472\"]\n  23 [size=\"81571840\", alpha=\"0.07\", expect_size=\"32628736\"] \n  23 -> 24 [size =\"32628736\"]\n  24 [size=\"46435840\", alpha=\"0.19\", expect_size=\"18574336\"] \n  24 -> 25 [size =\"18574336\"]\n  25 [size=\"43507200\", alpha=\"0.07\", expect_size=\"17402880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115102720\", alpha=\"0.00\", expect_size=\"46041088\"] \n  1 -> 2 [size =\"46041088\"]\n  1 -> 3 [size =\"46041088\"]\n  2 [size=\"16320000\", alpha=\"0.18\", expect_size=\"6528000\"] \n  2 -> 4 [size =\"6528000\"]\n  3 [size=\"96962560\", alpha=\"0.17\", expect_size=\"38785024\"] \n  3 -> 5 [size =\"38785024\"]\n  4 [size=\"94103040\", alpha=\"0.16\", expect_size=\"37641216\"] \n  4 -> 7 [size =\"37641216\"]\n  5 [size=\"100715520\", alpha=\"0.19\", expect_size=\"40286208\"] \n  5 -> 6 [size =\"40286208\"]\n  6 [size=\"57121280\", alpha=\"0.12\", expect_size=\"22848512\"] \n  6 -> 8 [size =\"22848512\"]\n  6 -> 9 [size =\"22848512\"]\n  7 [size=\"129733120\", alpha=\"0.02\", expect_size=\"51893248\"] \n  7 -> 8 [size =\"51893248\"]\n  7 -> 9 [size =\"51893248\"]\n  8 [size=\"79226880\", alpha=\"0.16\", expect_size=\"31690752\"] \n  8 -> 10 [size =\"31690752\"]\n  8 -> 11 [size =\"31690752\"]\n  9 [size=\"119523840\", alpha=\"0.17\", expect_size=\"47809536\"] \n  9 -> 10 [size =\"47809536\"]\n  9 -> 11 [size =\"47809536\"]\n  10 [size=\"64696320\", alpha=\"0.20\", expect_size=\"25878528\"] \n  11 [size=\"35054080\", alpha=\"0.19\", expect_size=\"14021632\"] \n  11 -> 12 [size =\"14021632\"]\n  11 -> 13 [size =\"14021632\"]\n  12 [size=\"37995520\", alpha=\"0.05\", expect_size=\"15198208\"] \n  12 -> 14 [size =\"15198208\"]\n  13 [size=\"27998720\", alpha=\"0.05\", expect_size=\"11199488\"] \n  13 -> 14 [size =\"11199488\"]\n  13 -> 15 [size =\"11199488\"]\n  14 [size=\"126046720\", alpha=\"0.17\", expect_size=\"50418688\"] \n  14 -> 16 [size =\"50418688\"]\n  15 [size=\"102246400\", alpha=\"0.09\", expect_size=\"40898560\"] \n  16 [size=\"99000320\", alpha=\"0.03\", expect_size=\"39600128\"] \n  16 -> 17 [size =\"39600128\"]\n  16 -> 18 [size =\"39600128\"]\n  17 [size=\"49651200\", alpha=\"0.16\", expect_size=\"19860480\"] \n  18 [size=\"60736000\", alpha=\"0.08\", expect_size=\"24294400\"] \n  18 -> 19 [size =\"24294400\"]\n  19 [size=\"37278720\", alpha=\"0.16\", expect_size=\"14911488\"] \n  19 -> 20 [size =\"14911488\"]\n  19 -> 21 [size =\"14911488\"]\n  20 [size=\"17395200\", alpha=\"0.03\", expect_size=\"6958080\"] \n  20 -> 22 [size =\"6958080\"]\n  20 -> 23 [size =\"6958080\"]\n  21 [size=\"16875520\", alpha=\"0.07\", expect_size=\"6750208\"] \n  21 -> 23 [size =\"6750208\"]\n  22 [size=\"128335360\", alpha=\"0.12\", expect_size=\"51334144\"] \n  23 [size=\"40064000\", alpha=\"0.11\", expect_size=\"16025600\"] \n  23 -> 24 [size =\"16025600\"]\n  24 [size=\"69703680\", alpha=\"0.04\", expect_size=\"27881472\"] \n  24 -> 25 [size =\"27881472\"]\n  25 [size=\"51678720\", alpha=\"0.11\", expect_size=\"20671488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100313088\", alpha=\"0.01\", expect_size=\"50156544\"] \n  1 -> 5 [size =\"50156544\"]\n  2 [size=\"91469824\", alpha=\"0.15\", expect_size=\"45734912\"] \n  2 -> 6 [size =\"45734912\"]\n  3 [size=\"79456256\", alpha=\"0.06\", expect_size=\"39728128\"] \n  4 [size=\"62584832\", alpha=\"0.13\", expect_size=\"31292416\"] \n  4 -> 7 [size =\"31292416\"]\n  5 [size=\"63160320\", alpha=\"0.18\", expect_size=\"31580160\"] \n  5 -> 8 [size =\"31580160\"]\n  5 -> 9 [size =\"31580160\"]\n  6 [size=\"64378880\", alpha=\"0.11\", expect_size=\"32189440\"] \n  6 -> 11 [size =\"32189440\"]\n  7 [size=\"30750720\", alpha=\"0.05\", expect_size=\"15375360\"] \n  7 -> 8 [size =\"15375360\"]\n  7 -> 10 [size =\"15375360\"]\n  8 [size=\"66750464\", alpha=\"0.02\", expect_size=\"33375232\"] \n  8 -> 13 [size =\"33375232\"]\n  8 -> 15 [size =\"33375232\"]\n  9 [size=\"13350912\", alpha=\"0.14\", expect_size=\"6675456\"] \n  9 -> 13 [size =\"6675456\"]\n  10 [size=\"49102848\", alpha=\"0.17\", expect_size=\"24551424\"] \n  10 -> 12 [size =\"24551424\"]\n  10 -> 14 [size =\"24551424\"]\n  10 -> 15 [size =\"24551424\"]\n  11 [size=\"29792256\", alpha=\"0.17\", expect_size=\"14896128\"] \n  11 -> 15 [size =\"14896128\"]\n  12 [size=\"34213888\", alpha=\"0.11\", expect_size=\"17106944\"] \n  12 -> 17 [size =\"17106944\"]\n  12 -> 18 [size =\"17106944\"]\n  13 [size=\"12019712\", alpha=\"0.07\", expect_size=\"6009856\"] \n  13 -> 16 [size =\"6009856\"]\n  14 [size=\"41175040\", alpha=\"0.15\", expect_size=\"20587520\"] \n  15 [size=\"100278272\", alpha=\"0.11\", expect_size=\"50139136\"] \n  15 -> 17 [size =\"50139136\"]\n  16 [size=\"90841088\", alpha=\"0.14\", expect_size=\"45420544\"] \n  16 -> 20 [size =\"45420544\"]\n  16 -> 21 [size =\"45420544\"]\n  17 [size=\"48222208\", alpha=\"0.17\", expect_size=\"24111104\"] \n  17 -> 20 [size =\"24111104\"]\n  18 [size=\"73740288\", alpha=\"0.09\", expect_size=\"36870144\"] \n  18 -> 19 [size =\"36870144\"]\n  19 [size=\"83402752\", alpha=\"0.15\", expect_size=\"41701376\"] \n  20 [size=\"52807680\", alpha=\"0.02\", expect_size=\"26403840\"] \n  20 -> 22 [size =\"26403840\"]\n  20 -> 23 [size =\"26403840\"]\n  21 [size=\"40497152\", alpha=\"0.08\", expect_size=\"20248576\"] \n  21 -> 22 [size =\"20248576\"]\n  21 -> 23 [size =\"20248576\"]\n  21 -> 24 [size =\"20248576\"]\n  22 [size=\"24547328\", alpha=\"0.11\", expect_size=\"12273664\"] \n  23 [size=\"77545472\", alpha=\"0.08\", expect_size=\"38772736\"] \n  24 [size=\"15534080\", alpha=\"0.17\", expect_size=\"7767040\"] \n  24 -> 25 [size =\"7767040\"]\n  25 [size=\"86673408\", alpha=\"0.16\", expect_size=\"43336704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96430080\", alpha=\"0.10\", expect_size=\"28929024\"] \n  1 -> 2 [size =\"28929024\"]\n  2 [size=\"166840320\", alpha=\"0.07\", expect_size=\"50052096\"] \n  2 -> 3 [size =\"50052096\"]\n  3 [size=\"174353067\", alpha=\"0.13\", expect_size=\"52305920\"] \n  3 -> 4 [size =\"52305920\"]\n  4 [size=\"50493440\", alpha=\"0.12\", expect_size=\"15148032\"] \n  4 -> 5 [size =\"15148032\"]\n  5 [size=\"37041493\", alpha=\"0.13\", expect_size=\"11112448\"] \n  5 -> 6 [size =\"11112448\"]\n  6 [size=\"57367893\", alpha=\"0.07\", expect_size=\"17210368\"] \n  6 -> 7 [size =\"17210368\"]\n  7 [size=\"140946773\", alpha=\"0.11\", expect_size=\"42284032\"] \n  7 -> 8 [size =\"42284032\"]\n  8 [size=\"93515093\", alpha=\"0.03\", expect_size=\"28054528\"] \n  8 -> 9 [size =\"28054528\"]\n  9 [size=\"139888640\", alpha=\"0.17\", expect_size=\"41966592\"] \n  9 -> 10 [size =\"41966592\"]\n  10 [size=\"127590400\", alpha=\"0.03\", expect_size=\"38277120\"] \n  10 -> 11 [size =\"38277120\"]\n  11 [size=\"64392533\", alpha=\"0.15\", expect_size=\"19317760\"] \n  11 -> 12 [size =\"19317760\"]\n  12 [size=\"145681067\", alpha=\"0.20\", expect_size=\"43704320\"] \n  12 -> 13 [size =\"43704320\"]\n  13 [size=\"39983787\", alpha=\"0.09\", expect_size=\"11995136\"] \n  13 -> 14 [size =\"11995136\"]\n  14 [size=\"142592000\", alpha=\"0.04\", expect_size=\"42777600\"] \n  14 -> 15 [size =\"42777600\"]\n  15 [size=\"80523947\", alpha=\"0.06\", expect_size=\"24157184\"] \n  15 -> 16 [size =\"24157184\"]\n  16 [size=\"28040533\", alpha=\"0.09\", expect_size=\"8412160\"] \n  16 -> 17 [size =\"8412160\"]\n  17 [size=\"82455893\", alpha=\"0.10\", expect_size=\"24736768\"] \n  17 -> 18 [size =\"24736768\"]\n  18 [size=\"170093227\", alpha=\"0.04\", expect_size=\"51027968\"] \n  18 -> 19 [size =\"51027968\"]\n  19 [size=\"33942187\", alpha=\"0.07\", expect_size=\"10182656\"] \n  19 -> 20 [size =\"10182656\"]\n  20 [size=\"164976640\", alpha=\"0.16\", expect_size=\"49492992\"] \n  20 -> 21 [size =\"49492992\"]\n  21 [size=\"29924693\", alpha=\"0.15\", expect_size=\"8977408\"] \n  21 -> 22 [size =\"8977408\"]\n  22 [size=\"150964907\", alpha=\"0.13\", expect_size=\"45289472\"] \n  22 -> 23 [size =\"45289472\"]\n  23 [size=\"148770133\", alpha=\"0.11\", expect_size=\"44631040\"] \n  23 -> 24 [size =\"44631040\"]\n  24 [size=\"64051200\", alpha=\"0.13\", expect_size=\"19215360\"] \n  24 -> 25 [size =\"19215360\"]\n  25 [size=\"92644693\", alpha=\"0.17\", expect_size=\"27793408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75440128\", alpha=\"0.13\", expect_size=\"37720064\"] \n  2 [size=\"35663872\", alpha=\"0.03\", expect_size=\"17831936\"] \n  2 -> 3 [size =\"17831936\"]\n  2 -> 4 [size =\"17831936\"]\n  3 [size=\"60585984\", alpha=\"0.09\", expect_size=\"30292992\"] \n  3 -> 5 [size =\"30292992\"]\n  4 [size=\"102785024\", alpha=\"0.03\", expect_size=\"51392512\"] \n  5 [size=\"103446528\", alpha=\"0.03\", expect_size=\"51723264\"] \n  5 -> 6 [size =\"51723264\"]\n  5 -> 7 [size =\"51723264\"]\n  6 [size=\"91787264\", alpha=\"0.17\", expect_size=\"45893632\"] \n  7 [size=\"26351616\", alpha=\"0.18\", expect_size=\"13175808\"] \n  7 -> 8 [size =\"13175808\"]\n  8 [size=\"37318656\", alpha=\"0.01\", expect_size=\"18659328\"] \n  8 -> 9 [size =\"18659328\"]\n  8 -> 10 [size =\"18659328\"]\n  9 [size=\"20381696\", alpha=\"0.12\", expect_size=\"10190848\"] \n  9 -> 11 [size =\"10190848\"]\n  10 [size=\"57497600\", alpha=\"0.09\", expect_size=\"28748800\"] \n  11 [size=\"26308608\", alpha=\"0.07\", expect_size=\"13154304\"] \n  11 -> 12 [size =\"13154304\"]\n  12 [size=\"87791616\", alpha=\"0.07\", expect_size=\"43895808\"] \n  12 -> 13 [size =\"43895808\"]\n  13 [size=\"102475776\", alpha=\"0.10\", expect_size=\"51237888\"] \n  13 -> 14 [size =\"51237888\"]\n  14 [size=\"49604608\", alpha=\"0.09\", expect_size=\"24802304\"] \n  14 -> 15 [size =\"24802304\"]\n  14 -> 16 [size =\"24802304\"]\n  15 [size=\"64323584\", alpha=\"0.04\", expect_size=\"32161792\"] \n  15 -> 17 [size =\"32161792\"]\n  16 [size=\"76439552\", alpha=\"0.05\", expect_size=\"38219776\"] \n  17 [size=\"59959296\", alpha=\"0.19\", expect_size=\"29979648\"] \n  17 -> 18 [size =\"29979648\"]\n  17 -> 19 [size =\"29979648\"]\n  18 [size=\"50493440\", alpha=\"0.18\", expect_size=\"25246720\"] \n  18 -> 20 [size =\"25246720\"]\n  19 [size=\"55404544\", alpha=\"0.05\", expect_size=\"27702272\"] \n  20 [size=\"17252352\", alpha=\"0.05\", expect_size=\"8626176\"] \n  20 -> 21 [size =\"8626176\"]\n  20 -> 22 [size =\"8626176\"]\n  21 [size=\"59410432\", alpha=\"0.18\", expect_size=\"29705216\"] \n  21 -> 23 [size =\"29705216\"]\n  21 -> 24 [size =\"29705216\"]\n  22 [size=\"94588928\", alpha=\"0.17\", expect_size=\"47294464\"] \n  23 [size=\"31207424\", alpha=\"0.06\", expect_size=\"15603712\"] \n  23 -> 25 [size =\"15603712\"]\n  24 [size=\"79822848\", alpha=\"0.15\", expect_size=\"39911424\"] \n  25 [size=\"28956672\", alpha=\"0.03\", expect_size=\"14478336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123235840\", alpha=\"0.12\", expect_size=\"49294336\"] \n  1 -> 20 [size =\"49294336\"]\n  1 -> 21 [size =\"49294336\"]\n  1 -> 23 [size =\"49294336\"]\n  2 [size=\"60218880\", alpha=\"0.10\", expect_size=\"24087552\"] \n  2 -> 19 [size =\"24087552\"]\n  2 -> 20 [size =\"24087552\"]\n  2 -> 23 [size =\"24087552\"]\n  3 [size=\"93043200\", alpha=\"0.02\", expect_size=\"37217280\"] \n  3 -> 19 [size =\"37217280\"]\n  3 -> 25 [size =\"37217280\"]\n  4 [size=\"14318080\", alpha=\"0.20\", expect_size=\"5727232\"] \n  5 [size=\"95997440\", alpha=\"0.01\", expect_size=\"38398976\"] \n  5 -> 23 [size =\"38398976\"]\n  5 -> 24 [size =\"38398976\"]\n  6 [size=\"85721600\", alpha=\"0.16\", expect_size=\"34288640\"] \n  6 -> 20 [size =\"34288640\"]\n  6 -> 21 [size =\"34288640\"]\n  6 -> 23 [size =\"34288640\"]\n  7 [size=\"55011840\", alpha=\"0.14\", expect_size=\"22004736\"] \n  7 -> 20 [size =\"22004736\"]\n  7 -> 23 [size =\"22004736\"]\n  8 [size=\"20725760\", alpha=\"0.19\", expect_size=\"8290304\"] \n  8 -> 20 [size =\"8290304\"]\n  8 -> 23 [size =\"8290304\"]\n  9 [size=\"20712960\", alpha=\"0.13\", expect_size=\"8285184\"] \n  9 -> 20 [size =\"8285184\"]\n  9 -> 24 [size =\"8285184\"]\n  10 [size=\"115046400\", alpha=\"0.08\", expect_size=\"46018560\"] \n  10 -> 20 [size =\"46018560\"]\n  10 -> 22 [size =\"46018560\"]\n  10 -> 24 [size =\"46018560\"]\n  11 [size=\"66526720\", alpha=\"0.06\", expect_size=\"26610688\"] \n  11 -> 20 [size =\"26610688\"]\n  11 -> 21 [size =\"26610688\"]\n  11 -> 25 [size =\"26610688\"]\n  12 [size=\"21419520\", alpha=\"0.18\", expect_size=\"8567808\"] \n  12 -> 20 [size =\"8567808\"]\n  12 -> 22 [size =\"8567808\"]\n  12 -> 23 [size =\"8567808\"]\n  13 [size=\"77877760\", alpha=\"0.04\", expect_size=\"31151104\"] \n  13 -> 20 [size =\"31151104\"]\n  13 -> 22 [size =\"31151104\"]\n  13 -> 23 [size =\"31151104\"]\n  14 [size=\"88312320\", alpha=\"0.01\", expect_size=\"35324928\"] \n  14 -> 19 [size =\"35324928\"]\n  14 -> 20 [size =\"35324928\"]\n  14 -> 21 [size =\"35324928\"]\n  14 -> 24 [size =\"35324928\"]\n  15 [size=\"85521920\", alpha=\"0.04\", expect_size=\"34208768\"] \n  15 -> 20 [size =\"34208768\"]\n  15 -> 25 [size =\"34208768\"]\n  16 [size=\"90319360\", alpha=\"0.18\", expect_size=\"36127744\"] \n  16 -> 19 [size =\"36127744\"]\n  16 -> 20 [size =\"36127744\"]\n  16 -> 24 [size =\"36127744\"]\n  17 [size=\"64371200\", alpha=\"0.18\", expect_size=\"25748480\"] \n  17 -> 21 [size =\"25748480\"]\n  17 -> 23 [size =\"25748480\"]\n  18 [size=\"31216640\", alpha=\"0.10\", expect_size=\"12486656\"] \n  18 -> 20 [size =\"12486656\"]\n  18 -> 23 [size =\"12486656\"]\n  18 -> 24 [size =\"12486656\"]\n  19 [size=\"28252160\", alpha=\"0.08\", expect_size=\"11300864\"] \n  20 [size=\"105113600\", alpha=\"0.20\", expect_size=\"42045440\"] \n  21 [size=\"36595200\", alpha=\"0.10\", expect_size=\"14638080\"] \n  22 [size=\"69096960\", alpha=\"0.08\", expect_size=\"27638784\"] \n  23 [size=\"59230720\", alpha=\"0.00\", expect_size=\"23692288\"] \n  24 [size=\"85196800\", alpha=\"0.12\", expect_size=\"34078720\"] \n  25 [size=\"92318720\", alpha=\"0.18\", expect_size=\"36927488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60883627\", alpha=\"0.02\", expect_size=\"18265088\"] \n  1 -> 5 [size =\"18265088\"]\n  1 -> 6 [size =\"18265088\"]\n  1 -> 7 [size =\"18265088\"]\n  2 [size=\"146305707\", alpha=\"0.11\", expect_size=\"43891712\"] \n  3 [size=\"122559147\", alpha=\"0.18\", expect_size=\"36767744\"] \n  3 -> 5 [size =\"36767744\"]\n  3 -> 7 [size =\"36767744\"]\n  4 [size=\"36829867\", alpha=\"0.12\", expect_size=\"11048960\"] \n  4 -> 5 [size =\"11048960\"]\n  5 [size=\"92197547\", alpha=\"0.12\", expect_size=\"27659264\"] \n  5 -> 8 [size =\"27659264\"]\n  5 -> 9 [size =\"27659264\"]\n  5 -> 10 [size =\"27659264\"]\n  6 [size=\"61112320\", alpha=\"0.18\", expect_size=\"18333696\"] \n  7 [size=\"166789120\", alpha=\"0.16\", expect_size=\"50036736\"] \n  7 -> 8 [size =\"50036736\"]\n  7 -> 10 [size =\"50036736\"]\n  8 [size=\"88398507\", alpha=\"0.16\", expect_size=\"26519552\"] \n  8 -> 11 [size =\"26519552\"]\n  8 -> 13 [size =\"26519552\"]\n  9 [size=\"152500907\", alpha=\"0.15\", expect_size=\"45750272\"] \n  9 -> 12 [size =\"45750272\"]\n  9 -> 14 [size =\"45750272\"]\n  10 [size=\"148893013\", alpha=\"0.02\", expect_size=\"44667904\"] \n  10 -> 11 [size =\"44667904\"]\n  10 -> 12 [size =\"44667904\"]\n  10 -> 13 [size =\"44667904\"]\n  10 -> 14 [size =\"44667904\"]\n  11 [size=\"79452160\", alpha=\"0.02\", expect_size=\"23835648\"] \n  12 [size=\"94467413\", alpha=\"0.14\", expect_size=\"28340224\"] \n  12 -> 15 [size =\"28340224\"]\n  12 -> 17 [size =\"28340224\"]\n  13 [size=\"26173440\", alpha=\"0.15\", expect_size=\"7852032\"] \n  13 -> 15 [size =\"7852032\"]\n  13 -> 18 [size =\"7852032\"]\n  14 [size=\"165724160\", alpha=\"0.06\", expect_size=\"49717248\"] \n  14 -> 16 [size =\"49717248\"]\n  14 -> 18 [size =\"49717248\"]\n  15 [size=\"100297387\", alpha=\"0.18\", expect_size=\"30089216\"] \n  15 -> 19 [size =\"30089216\"]\n  15 -> 20 [size =\"30089216\"]\n  16 [size=\"37573973\", alpha=\"0.08\", expect_size=\"11272192\"] \n  16 -> 21 [size =\"11272192\"]\n  17 [size=\"22739627\", alpha=\"0.14\", expect_size=\"6821888\"] \n  17 -> 19 [size =\"6821888\"]\n  17 -> 20 [size =\"6821888\"]\n  18 [size=\"149118293\", alpha=\"0.19\", expect_size=\"44735488\"] \n  19 [size=\"114725547\", alpha=\"0.05\", expect_size=\"34417664\"] \n  19 -> 22 [size =\"34417664\"]\n  19 -> 24 [size =\"34417664\"]\n  20 [size=\"78554453\", alpha=\"0.18\", expect_size=\"23566336\"] \n  20 -> 23 [size =\"23566336\"]\n  20 -> 24 [size =\"23566336\"]\n  21 [size=\"97959253\", alpha=\"0.16\", expect_size=\"29387776\"] \n  21 -> 22 [size =\"29387776\"]\n  22 [size=\"111322453\", alpha=\"0.11\", expect_size=\"33396736\"] \n  23 [size=\"66317653\", alpha=\"0.18\", expect_size=\"19895296\"] \n  23 -> 25 [size =\"19895296\"]\n  24 [size=\"25647787\", alpha=\"0.09\", expect_size=\"7694336\"] \n  25 [size=\"72506027\", alpha=\"0.08\", expect_size=\"21751808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26898432\", alpha=\"0.19\", expect_size=\"13449216\"] \n  1 -> 2 [size =\"13449216\"]\n  1 -> 3 [size =\"13449216\"]\n  2 [size=\"24266752\", alpha=\"0.01\", expect_size=\"12133376\"] \n  2 -> 4 [size =\"12133376\"]\n  3 [size=\"15247360\", alpha=\"0.08\", expect_size=\"7623680\"] \n  3 -> 4 [size =\"7623680\"]\n  4 [size=\"95889408\", alpha=\"0.00\", expect_size=\"47944704\"] \n  4 -> 5 [size =\"47944704\"]\n  5 [size=\"21901312\", alpha=\"0.05\", expect_size=\"10950656\"] \n  5 -> 6 [size =\"10950656\"]\n  5 -> 7 [size =\"10950656\"]\n  6 [size=\"91834368\", alpha=\"0.07\", expect_size=\"45917184\"] \n  6 -> 8 [size =\"45917184\"]\n  6 -> 9 [size =\"45917184\"]\n  7 [size=\"78032896\", alpha=\"0.09\", expect_size=\"39016448\"] \n  7 -> 9 [size =\"39016448\"]\n  8 [size=\"93018112\", alpha=\"0.12\", expect_size=\"46509056\"] \n  8 -> 10 [size =\"46509056\"]\n  9 [size=\"10584064\", alpha=\"0.11\", expect_size=\"5292032\"] \n  10 [size=\"75112448\", alpha=\"0.00\", expect_size=\"37556224\"] \n  10 -> 11 [size =\"37556224\"]\n  11 [size=\"53186560\", alpha=\"0.19\", expect_size=\"26593280\"] \n  11 -> 12 [size =\"26593280\"]\n  11 -> 13 [size =\"26593280\"]\n  12 [size=\"46417920\", alpha=\"0.15\", expect_size=\"23208960\"] \n  12 -> 14 [size =\"23208960\"]\n  13 [size=\"49395712\", alpha=\"0.05\", expect_size=\"24697856\"] \n  13 -> 14 [size =\"24697856\"]\n  14 [size=\"86581248\", alpha=\"0.19\", expect_size=\"43290624\"] \n  14 -> 15 [size =\"43290624\"]\n  15 [size=\"88877056\", alpha=\"0.10\", expect_size=\"44438528\"] \n  15 -> 16 [size =\"44438528\"]\n  15 -> 17 [size =\"44438528\"]\n  16 [size=\"15855616\", alpha=\"0.04\", expect_size=\"7927808\"] \n  16 -> 19 [size =\"7927808\"]\n  17 [size=\"50214912\", alpha=\"0.13\", expect_size=\"25107456\"] \n  17 -> 18 [size =\"25107456\"]\n  17 -> 19 [size =\"25107456\"]\n  18 [size=\"92712960\", alpha=\"0.01\", expect_size=\"46356480\"] \n  18 -> 21 [size =\"46356480\"]\n  19 [size=\"54435840\", alpha=\"0.02\", expect_size=\"27217920\"] \n  19 -> 20 [size =\"27217920\"]\n  19 -> 21 [size =\"27217920\"]\n  20 [size=\"11206656\", alpha=\"0.06\", expect_size=\"5603328\"] \n  20 -> 22 [size =\"5603328\"]\n  21 [size=\"11978752\", alpha=\"0.14\", expect_size=\"5989376\"] \n  21 -> 22 [size =\"5989376\"]\n  22 [size=\"103958528\", alpha=\"0.04\", expect_size=\"51979264\"] \n  22 -> 23 [size =\"51979264\"]\n  23 [size=\"79126528\", alpha=\"0.16\", expect_size=\"39563264\"] \n  23 -> 24 [size =\"39563264\"]\n  23 -> 25 [size =\"39563264\"]\n  24 [size=\"100909056\", alpha=\"0.05\", expect_size=\"50454528\"] \n  25 [size=\"95475712\", alpha=\"0.17\", expect_size=\"47737856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10801152\", alpha=\"0.03\", expect_size=\"5400576\"] \n  1 -> 4 [size =\"5400576\"]\n  1 -> 6 [size =\"5400576\"]\n  2 [size=\"55148544\", alpha=\"0.16\", expect_size=\"27574272\"] \n  2 -> 5 [size =\"27574272\"]\n  2 -> 6 [size =\"27574272\"]\n  2 -> 7 [size =\"27574272\"]\n  3 [size=\"23937024\", alpha=\"0.12\", expect_size=\"11968512\"] \n  3 -> 4 [size =\"11968512\"]\n  3 -> 7 [size =\"11968512\"]\n  4 [size=\"75585536\", alpha=\"0.05\", expect_size=\"37792768\"] \n  4 -> 9 [size =\"37792768\"]\n  5 [size=\"36550656\", alpha=\"0.18\", expect_size=\"18275328\"] \n  6 [size=\"83707904\", alpha=\"0.07\", expect_size=\"41853952\"] \n  6 -> 8 [size =\"41853952\"]\n  7 [size=\"39272448\", alpha=\"0.14\", expect_size=\"19636224\"] \n  7 -> 10 [size =\"19636224\"]\n  8 [size=\"31815680\", alpha=\"0.02\", expect_size=\"15907840\"] \n  8 -> 12 [size =\"15907840\"]\n  8 -> 13 [size =\"15907840\"]\n  9 [size=\"84987904\", alpha=\"0.17\", expect_size=\"42493952\"] \n  9 -> 13 [size =\"42493952\"]\n  9 -> 14 [size =\"42493952\"]\n  10 [size=\"11122688\", alpha=\"0.03\", expect_size=\"5561344\"] \n  10 -> 11 [size =\"5561344\"]\n  10 -> 12 [size =\"5561344\"]\n  11 [size=\"34088960\", alpha=\"0.19\", expect_size=\"17044480\"] \n  11 -> 17 [size =\"17044480\"]\n  12 [size=\"47185920\", alpha=\"0.04\", expect_size=\"23592960\"] \n  12 -> 15 [size =\"23592960\"]\n  12 -> 16 [size =\"23592960\"]\n  13 [size=\"26345472\", alpha=\"0.12\", expect_size=\"13172736\"] \n  13 -> 15 [size =\"13172736\"]\n  13 -> 16 [size =\"13172736\"]\n  14 [size=\"84940800\", alpha=\"0.18\", expect_size=\"42470400\"] \n  15 [size=\"13193216\", alpha=\"0.15\", expect_size=\"6596608\"] \n  15 -> 18 [size =\"6596608\"]\n  16 [size=\"100214784\", alpha=\"0.04\", expect_size=\"50107392\"] \n  16 -> 20 [size =\"50107392\"]\n  17 [size=\"37369856\", alpha=\"0.05\", expect_size=\"18684928\"] \n  17 -> 18 [size =\"18684928\"]\n  17 -> 19 [size =\"18684928\"]\n  18 [size=\"102152192\", alpha=\"0.10\", expect_size=\"51076096\"] \n  18 -> 22 [size =\"51076096\"]\n  19 [size=\"17192960\", alpha=\"0.00\", expect_size=\"8596480\"] \n  19 -> 23 [size =\"8596480\"]\n  20 [size=\"99405824\", alpha=\"0.14\", expect_size=\"49702912\"] \n  20 -> 21 [size =\"49702912\"]\n  21 [size=\"21202944\", alpha=\"0.09\", expect_size=\"10601472\"] \n  21 -> 24 [size =\"10601472\"]\n  21 -> 25 [size =\"10601472\"]\n  22 [size=\"18839552\", alpha=\"0.12\", expect_size=\"9419776\"] \n  23 [size=\"38959104\", alpha=\"0.19\", expect_size=\"19479552\"] \n  24 [size=\"94107648\", alpha=\"0.19\", expect_size=\"47053824\"] \n  25 [size=\"86575104\", alpha=\"0.05\", expect_size=\"43287552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113415680\", alpha=\"0.02\", expect_size=\"45366272\"] \n  1 -> 15 [size =\"45366272\"]\n  1 -> 17 [size =\"45366272\"]\n  1 -> 20 [size =\"45366272\"]\n  1 -> 21 [size =\"45366272\"]\n  2 [size=\"32056320\", alpha=\"0.17\", expect_size=\"12822528\"] \n  2 -> 20 [size =\"12822528\"]\n  2 -> 21 [size =\"12822528\"]\n  2 -> 22 [size =\"12822528\"]\n  3 [size=\"26693120\", alpha=\"0.03\", expect_size=\"10677248\"] \n  3 -> 15 [size =\"10677248\"]\n  3 -> 16 [size =\"10677248\"]\n  3 -> 18 [size =\"10677248\"]\n  3 -> 19 [size =\"10677248\"]\n  3 -> 20 [size =\"10677248\"]\n  3 -> 21 [size =\"10677248\"]\n  3 -> 24 [size =\"10677248\"]\n  4 [size=\"48240640\", alpha=\"0.08\", expect_size=\"19296256\"] \n  4 -> 15 [size =\"19296256\"]\n  4 -> 18 [size =\"19296256\"]\n  4 -> 20 [size =\"19296256\"]\n  4 -> 21 [size =\"19296256\"]\n  4 -> 22 [size =\"19296256\"]\n  5 [size=\"87004160\", alpha=\"0.10\", expect_size=\"34801664\"] \n  5 -> 20 [size =\"34801664\"]\n  5 -> 21 [size =\"34801664\"]\n  6 [size=\"97914880\", alpha=\"0.11\", expect_size=\"39165952\"] \n  6 -> 20 [size =\"39165952\"]\n  6 -> 21 [size =\"39165952\"]\n  6 -> 23 [size =\"39165952\"]\n  6 -> 24 [size =\"39165952\"]\n  7 [size=\"121792000\", alpha=\"0.07\", expect_size=\"48716800\"] \n  7 -> 18 [size =\"48716800\"]\n  7 -> 20 [size =\"48716800\"]\n  7 -> 21 [size =\"48716800\"]\n  7 -> 23 [size =\"48716800\"]\n  7 -> 24 [size =\"48716800\"]\n  7 -> 25 [size =\"48716800\"]\n  8 [size=\"74260480\", alpha=\"0.16\", expect_size=\"29704192\"] \n  8 -> 20 [size =\"29704192\"]\n  8 -> 20 [size =\"29704192\"]\n  8 -> 22 [size =\"29704192\"]\n  8 -> 23 [size =\"29704192\"]\n  8 -> 24 [size =\"29704192\"]\n  9 [size=\"39608320\", alpha=\"0.08\", expect_size=\"15843328\"] \n  9 -> 17 [size =\"15843328\"]\n  9 -> 20 [size =\"15843328\"]\n  9 -> 22 [size =\"15843328\"]\n  9 -> 24 [size =\"15843328\"]\n  10 [size=\"54822400\", alpha=\"0.10\", expect_size=\"21928960\"] \n  10 -> 17 [size =\"21928960\"]\n  10 -> 19 [size =\"21928960\"]\n  10 -> 20 [size =\"21928960\"]\n  10 -> 22 [size =\"21928960\"]\n  10 -> 24 [size =\"21928960\"]\n  11 [size=\"41781760\", alpha=\"0.18\", expect_size=\"16712704\"] \n  11 -> 16 [size =\"16712704\"]\n  11 -> 20 [size =\"16712704\"]\n  11 -> 21 [size =\"16712704\"]\n  11 -> 24 [size =\"16712704\"]\n  11 -> 24 [size =\"16712704\"]\n  12 [size=\"51847680\", alpha=\"0.09\", expect_size=\"20739072\"] \n  12 -> 18 [size =\"20739072\"]\n  12 -> 22 [size =\"20739072\"]\n  12 -> 24 [size =\"20739072\"]\n  13 [size=\"32212480\", alpha=\"0.18\", expect_size=\"12884992\"] \n  13 -> 18 [size =\"12884992\"]\n  13 -> 21 [size =\"12884992\"]\n  13 -> 22 [size =\"12884992\"]\n  13 -> 23 [size =\"12884992\"]\n  13 -> 24 [size =\"12884992\"]\n  13 -> 25 [size =\"12884992\"]\n  14 [size=\"50859520\", alpha=\"0.19\", expect_size=\"20343808\"] \n  14 -> 18 [size =\"20343808\"]\n  14 -> 19 [size =\"20343808\"]\n  14 -> 20 [size =\"20343808\"]\n  14 -> 21 [size =\"20343808\"]\n  14 -> 22 [size =\"20343808\"]\n  15 [size=\"96094720\", alpha=\"0.05\", expect_size=\"38437888\"] \n  16 [size=\"35381760\", alpha=\"0.20\", expect_size=\"14152704\"] \n  17 [size=\"102069760\", alpha=\"0.09\", expect_size=\"40827904\"] \n  18 [size=\"23096320\", alpha=\"0.07\", expect_size=\"9238528\"] \n  19 [size=\"117066240\", alpha=\"0.06\", expect_size=\"46826496\"] \n  20 [size=\"43555840\", alpha=\"0.16\", expect_size=\"17422336\"] \n  21 [size=\"103552000\", alpha=\"0.03\", expect_size=\"41420800\"] \n  22 [size=\"94389760\", alpha=\"0.13\", expect_size=\"37755904\"] \n  23 [size=\"29166080\", alpha=\"0.05\", expect_size=\"11666432\"] \n  24 [size=\"20098560\", alpha=\"0.04\", expect_size=\"8039424\"] \n  25 [size=\"16286720\", alpha=\"0.14\", expect_size=\"6514688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78341120\", alpha=\"0.12\", expect_size=\"31336448\"] \n  1 -> 13 [size =\"31336448\"]\n  1 -> 18 [size =\"31336448\"]\n  1 -> 20 [size =\"31336448\"]\n  2 [size=\"101053440\", alpha=\"0.14\", expect_size=\"40421376\"] \n  2 -> 13 [size =\"40421376\"]\n  2 -> 17 [size =\"40421376\"]\n  2 -> 18 [size =\"40421376\"]\n  3 [size=\"89044480\", alpha=\"0.02\", expect_size=\"35617792\"] \n  3 -> 14 [size =\"35617792\"]\n  3 -> 19 [size =\"35617792\"]\n  3 -> 20 [size =\"35617792\"]\n  4 [size=\"53808640\", alpha=\"0.02\", expect_size=\"21523456\"] \n  4 -> 13 [size =\"21523456\"]\n  4 -> 17 [size =\"21523456\"]\n  4 -> 19 [size =\"21523456\"]\n  4 -> 20 [size =\"21523456\"]\n  5 [size=\"97024000\", alpha=\"0.05\", expect_size=\"38809600\"] \n  5 -> 12 [size =\"38809600\"]\n  5 -> 13 [size =\"38809600\"]\n  5 -> 14 [size =\"38809600\"]\n  5 -> 18 [size =\"38809600\"]\n  6 [size=\"26142720\", alpha=\"0.11\", expect_size=\"10457088\"] \n  6 -> 13 [size =\"10457088\"]\n  6 -> 14 [size =\"10457088\"]\n  6 -> 15 [size =\"10457088\"]\n  7 [size=\"80240640\", alpha=\"0.15\", expect_size=\"32096256\"] \n  7 -> 11 [size =\"32096256\"]\n  7 -> 19 [size =\"32096256\"]\n  8 [size=\"113269760\", alpha=\"0.13\", expect_size=\"45307904\"] \n  9 [size=\"55267840\", alpha=\"0.10\", expect_size=\"22107136\"] \n  9 -> 11 [size =\"22107136\"]\n  10 [size=\"97254400\", alpha=\"0.04\", expect_size=\"38901760\"] \n  10 -> 16 [size =\"38901760\"]\n  11 [size=\"32832000\", alpha=\"0.13\", expect_size=\"13132800\"] \n  11 -> 21 [size =\"13132800\"]\n  11 -> 22 [size =\"13132800\"]\n  11 -> 23 [size =\"13132800\"]\n  12 [size=\"103641600\", alpha=\"0.11\", expect_size=\"41456640\"] \n  12 -> 22 [size =\"41456640\"]\n  12 -> 22 [size =\"41456640\"]\n  12 -> 23 [size =\"41456640\"]\n  12 -> 25 [size =\"41456640\"]\n  13 [size=\"71065600\", alpha=\"0.15\", expect_size=\"28426240\"] \n  13 -> 24 [size =\"28426240\"]\n  14 [size=\"85099520\", alpha=\"0.05\", expect_size=\"34039808\"] \n  14 -> 24 [size =\"34039808\"]\n  15 [size=\"97679360\", alpha=\"0.02\", expect_size=\"39071744\"] \n  15 -> 24 [size =\"39071744\"]\n  16 [size=\"126471680\", alpha=\"0.19\", expect_size=\"50588672\"] \n  16 -> 21 [size =\"50588672\"]\n  16 -> 22 [size =\"50588672\"]\n  17 [size=\"74833920\", alpha=\"0.04\", expect_size=\"29933568\"] \n  17 -> 21 [size =\"29933568\"]\n  17 -> 24 [size =\"29933568\"]\n  18 [size=\"46092800\", alpha=\"0.09\", expect_size=\"18437120\"] \n  19 [size=\"121523200\", alpha=\"0.10\", expect_size=\"48609280\"] \n  20 [size=\"59714560\", alpha=\"0.08\", expect_size=\"23885824\"] \n  20 -> 23 [size =\"23885824\"]\n  21 [size=\"82252800\", alpha=\"0.18\", expect_size=\"32901120\"] \n  22 [size=\"40240640\", alpha=\"0.02\", expect_size=\"16096256\"] \n  23 [size=\"107097600\", alpha=\"0.19\", expect_size=\"42839040\"] \n  24 [size=\"76782080\", alpha=\"0.03\", expect_size=\"30712832\"] \n  25 [size=\"103815680\", alpha=\"0.01\", expect_size=\"41526272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28987392\", alpha=\"0.15\", expect_size=\"14493696\"] \n  1 -> 2 [size =\"14493696\"]\n  2 [size=\"31774720\", alpha=\"0.09\", expect_size=\"15887360\"] \n  2 -> 3 [size =\"15887360\"]\n  3 [size=\"37513216\", alpha=\"0.20\", expect_size=\"18756608\"] \n  3 -> 4 [size =\"18756608\"]\n  4 [size=\"102529024\", alpha=\"0.01\", expect_size=\"51264512\"] \n  4 -> 5 [size =\"51264512\"]\n  5 [size=\"51818496\", alpha=\"0.07\", expect_size=\"25909248\"] \n  5 -> 6 [size =\"25909248\"]\n  6 [size=\"80830464\", alpha=\"0.06\", expect_size=\"40415232\"] \n  6 -> 7 [size =\"40415232\"]\n  7 [size=\"94154752\", alpha=\"0.08\", expect_size=\"47077376\"] \n  7 -> 8 [size =\"47077376\"]\n  8 [size=\"58601472\", alpha=\"0.13\", expect_size=\"29300736\"] \n  8 -> 9 [size =\"29300736\"]\n  9 [size=\"104714240\", alpha=\"0.17\", expect_size=\"52357120\"] \n  9 -> 10 [size =\"52357120\"]\n  10 [size=\"26212352\", alpha=\"0.07\", expect_size=\"13106176\"] \n  10 -> 11 [size =\"13106176\"]\n  11 [size=\"54300672\", alpha=\"0.18\", expect_size=\"27150336\"] \n  11 -> 12 [size =\"27150336\"]\n  12 [size=\"29413376\", alpha=\"0.20\", expect_size=\"14706688\"] \n  12 -> 13 [size =\"14706688\"]\n  13 [size=\"70137856\", alpha=\"0.02\", expect_size=\"35068928\"] \n  13 -> 14 [size =\"35068928\"]\n  14 [size=\"69062656\", alpha=\"0.01\", expect_size=\"34531328\"] \n  14 -> 15 [size =\"34531328\"]\n  15 [size=\"71708672\", alpha=\"0.00\", expect_size=\"35854336\"] \n  15 -> 16 [size =\"35854336\"]\n  16 [size=\"11298816\", alpha=\"0.03\", expect_size=\"5649408\"] \n  16 -> 17 [size =\"5649408\"]\n  17 [size=\"39518208\", alpha=\"0.18\", expect_size=\"19759104\"] \n  17 -> 18 [size =\"19759104\"]\n  18 [size=\"75800576\", alpha=\"0.06\", expect_size=\"37900288\"] \n  18 -> 19 [size =\"37900288\"]\n  19 [size=\"42928128\", alpha=\"0.09\", expect_size=\"21464064\"] \n  19 -> 20 [size =\"21464064\"]\n  20 [size=\"28952576\", alpha=\"0.14\", expect_size=\"14476288\"] \n  20 -> 21 [size =\"14476288\"]\n  21 [size=\"61245440\", alpha=\"0.03\", expect_size=\"30622720\"] \n  21 -> 22 [size =\"30622720\"]\n  22 [size=\"50931712\", alpha=\"0.16\", expect_size=\"25465856\"] \n  22 -> 23 [size =\"25465856\"]\n  23 [size=\"49174528\", alpha=\"0.15\", expect_size=\"24587264\"] \n  23 -> 24 [size =\"24587264\"]\n  24 [size=\"59553792\", alpha=\"0.14\", expect_size=\"29776896\"] \n  24 -> 25 [size =\"29776896\"]\n  25 [size=\"64778240\", alpha=\"0.02\", expect_size=\"32389120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72689664\", alpha=\"0.04\", expect_size=\"36344832\"] \n  1 -> 15 [size =\"36344832\"]\n  1 -> 17 [size =\"36344832\"]\n  1 -> 18 [size =\"36344832\"]\n  1 -> 20 [size =\"36344832\"]\n  1 -> 23 [size =\"36344832\"]\n  2 [size=\"55521280\", alpha=\"0.12\", expect_size=\"27760640\"] \n  2 -> 14 [size =\"27760640\"]\n  2 -> 18 [size =\"27760640\"]\n  2 -> 20 [size =\"27760640\"]\n  2 -> 20 [size =\"27760640\"]\n  2 -> 21 [size =\"27760640\"]\n  2 -> 23 [size =\"27760640\"]\n  2 -> 25 [size =\"27760640\"]\n  3 [size=\"51843072\", alpha=\"0.04\", expect_size=\"25921536\"] \n  3 -> 14 [size =\"25921536\"]\n  3 -> 15 [size =\"25921536\"]\n  3 -> 18 [size =\"25921536\"]\n  3 -> 20 [size =\"25921536\"]\n  3 -> 22 [size =\"25921536\"]\n  4 [size=\"81975296\", alpha=\"0.14\", expect_size=\"40987648\"] \n  4 -> 23 [size =\"40987648\"]\n  5 [size=\"63545344\", alpha=\"0.01\", expect_size=\"31772672\"] \n  5 -> 17 [size =\"31772672\"]\n  5 -> 18 [size =\"31772672\"]\n  5 -> 19 [size =\"31772672\"]\n  5 -> 21 [size =\"31772672\"]\n  5 -> 23 [size =\"31772672\"]\n  5 -> 24 [size =\"31772672\"]\n  6 [size=\"37677056\", alpha=\"0.10\", expect_size=\"18838528\"] \n  6 -> 16 [size =\"18838528\"]\n  6 -> 17 [size =\"18838528\"]\n  6 -> 18 [size =\"18838528\"]\n  6 -> 19 [size =\"18838528\"]\n  6 -> 22 [size =\"18838528\"]\n  6 -> 23 [size =\"18838528\"]\n  6 -> 24 [size =\"18838528\"]\n  7 [size=\"89382912\", alpha=\"0.00\", expect_size=\"44691456\"] \n  7 -> 17 [size =\"44691456\"]\n  7 -> 18 [size =\"44691456\"]\n  7 -> 18 [size =\"44691456\"]\n  7 -> 19 [size =\"44691456\"]\n  7 -> 20 [size =\"44691456\"]\n  7 -> 21 [size =\"44691456\"]\n  7 -> 23 [size =\"44691456\"]\n  7 -> 24 [size =\"44691456\"]\n  8 [size=\"78614528\", alpha=\"0.13\", expect_size=\"39307264\"] \n  8 -> 16 [size =\"39307264\"]\n  8 -> 17 [size =\"39307264\"]\n  8 -> 20 [size =\"39307264\"]\n  8 -> 21 [size =\"39307264\"]\n  8 -> 22 [size =\"39307264\"]\n  8 -> 23 [size =\"39307264\"]\n  8 -> 24 [size =\"39307264\"]\n  9 [size=\"100667392\", alpha=\"0.08\", expect_size=\"50333696\"] \n  9 -> 17 [size =\"50333696\"]\n  9 -> 17 [size =\"50333696\"]\n  9 -> 21 [size =\"50333696\"]\n  9 -> 23 [size =\"50333696\"]\n  9 -> 24 [size =\"50333696\"]\n  9 -> 25 [size =\"50333696\"]\n  10 [size=\"76890112\", alpha=\"0.13\", expect_size=\"38445056\"] \n  10 -> 23 [size =\"38445056\"]\n  11 [size=\"16627712\", alpha=\"0.10\", expect_size=\"8313856\"] \n  11 -> 15 [size =\"8313856\"]\n  11 -> 17 [size =\"8313856\"]\n  11 -> 19 [size =\"8313856\"]\n  11 -> 20 [size =\"8313856\"]\n  11 -> 23 [size =\"8313856\"]\n  12 [size=\"33777664\", alpha=\"0.04\", expect_size=\"16888832\"] \n  12 -> 14 [size =\"16888832\"]\n  12 -> 15 [size =\"16888832\"]\n  12 -> 16 [size =\"16888832\"]\n  12 -> 17 [size =\"16888832\"]\n  12 -> 19 [size =\"16888832\"]\n  12 -> 20 [size =\"16888832\"]\n  12 -> 21 [size =\"16888832\"]\n  12 -> 24 [size =\"16888832\"]\n  13 [size=\"89868288\", alpha=\"0.03\", expect_size=\"44934144\"] \n  13 -> 15 [size =\"44934144\"]\n  13 -> 17 [size =\"44934144\"]\n  13 -> 18 [size =\"44934144\"]\n  13 -> 20 [size =\"44934144\"]\n  13 -> 24 [size =\"44934144\"]\n  14 [size=\"14714880\", alpha=\"0.02\", expect_size=\"7357440\"] \n  15 [size=\"78946304\", alpha=\"0.03\", expect_size=\"39473152\"] \n  16 [size=\"84500480\", alpha=\"0.20\", expect_size=\"42250240\"] \n  17 [size=\"38926336\", alpha=\"0.05\", expect_size=\"19463168\"] \n  18 [size=\"41222144\", alpha=\"0.00\", expect_size=\"20611072\"] \n  19 [size=\"102072320\", alpha=\"0.03\", expect_size=\"51036160\"] \n  20 [size=\"45342720\", alpha=\"0.05\", expect_size=\"22671360\"] \n  21 [size=\"14589952\", alpha=\"0.02\", expect_size=\"7294976\"] \n  22 [size=\"61816832\", alpha=\"0.07\", expect_size=\"30908416\"] \n  23 [size=\"78966784\", alpha=\"0.02\", expect_size=\"39483392\"] \n  24 [size=\"93532160\", alpha=\"0.11\", expect_size=\"46766080\"] \n  25 [size=\"102320128\", alpha=\"0.12\", expect_size=\"51160064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138615467\", alpha=\"0.11\", expect_size=\"41584640\"] \n  1 -> 18 [size =\"41584640\"]\n  1 -> 19 [size =\"41584640\"]\n  1 -> 21 [size =\"41584640\"]\n  2 [size=\"84421973\", alpha=\"0.04\", expect_size=\"25326592\"] \n  2 -> 18 [size =\"25326592\"]\n  2 -> 20 [size =\"25326592\"]\n  2 -> 21 [size =\"25326592\"]\n  2 -> 23 [size =\"25326592\"]\n  3 [size=\"26473813\", alpha=\"0.05\", expect_size=\"7942144\"] \n  3 -> 18 [size =\"7942144\"]\n  3 -> 19 [size =\"7942144\"]\n  3 -> 21 [size =\"7942144\"]\n  3 -> 23 [size =\"7942144\"]\n  3 -> 24 [size =\"7942144\"]\n  3 -> 25 [size =\"7942144\"]\n  4 [size=\"31754240\", alpha=\"0.06\", expect_size=\"9526272\"] \n  4 -> 18 [size =\"9526272\"]\n  4 -> 19 [size =\"9526272\"]\n  4 -> 20 [size =\"9526272\"]\n  4 -> 21 [size =\"9526272\"]\n  4 -> 22 [size =\"9526272\"]\n  4 -> 23 [size =\"9526272\"]\n  4 -> 24 [size =\"9526272\"]\n  5 [size=\"26378240\", alpha=\"0.19\", expect_size=\"7913472\"] \n  5 -> 18 [size =\"7913472\"]\n  5 -> 21 [size =\"7913472\"]\n  6 [size=\"69358933\", alpha=\"0.17\", expect_size=\"20807680\"] \n  6 -> 18 [size =\"20807680\"]\n  6 -> 19 [size =\"20807680\"]\n  6 -> 21 [size =\"20807680\"]\n  7 [size=\"95542613\", alpha=\"0.19\", expect_size=\"28662784\"] \n  7 -> 18 [size =\"28662784\"]\n  7 -> 19 [size =\"28662784\"]\n  7 -> 22 [size =\"28662784\"]\n  8 [size=\"172028587\", alpha=\"0.12\", expect_size=\"51608576\"] \n  8 -> 18 [size =\"51608576\"]\n  8 -> 19 [size =\"51608576\"]\n  9 [size=\"79916373\", alpha=\"0.12\", expect_size=\"23974912\"] \n  9 -> 18 [size =\"23974912\"]\n  9 -> 19 [size =\"23974912\"]\n  10 [size=\"73666560\", alpha=\"0.02\", expect_size=\"22099968\"] \n  10 -> 18 [size =\"22099968\"]\n  11 [size=\"25289387\", alpha=\"0.12\", expect_size=\"7586816\"] \n  11 -> 18 [size =\"7586816\"]\n  11 -> 19 [size =\"7586816\"]\n  11 -> 21 [size =\"7586816\"]\n  11 -> 25 [size =\"7586816\"]\n  12 [size=\"112677547\", alpha=\"0.10\", expect_size=\"33803264\"] \n  12 -> 18 [size =\"33803264\"]\n  12 -> 21 [size =\"33803264\"]\n  13 [size=\"142772907\", alpha=\"0.03\", expect_size=\"42831872\"] \n  13 -> 19 [size =\"42831872\"]\n  13 -> 21 [size =\"42831872\"]\n  13 -> 22 [size =\"42831872\"]\n  13 -> 23 [size =\"42831872\"]\n  14 [size=\"21814613\", alpha=\"0.08\", expect_size=\"6544384\"] \n  14 -> 18 [size =\"6544384\"]\n  14 -> 19 [size =\"6544384\"]\n  14 -> 20 [size =\"6544384\"]\n  14 -> 22 [size =\"6544384\"]\n  15 [size=\"68096000\", alpha=\"0.07\", expect_size=\"20428800\"] \n  15 -> 19 [size =\"20428800\"]\n  15 -> 25 [size =\"20428800\"]\n  16 [size=\"57750187\", alpha=\"0.13\", expect_size=\"17325056\"] \n  16 -> 18 [size =\"17325056\"]\n  16 -> 19 [size =\"17325056\"]\n  16 -> 21 [size =\"17325056\"]\n  16 -> 22 [size =\"17325056\"]\n  17 [size=\"35010560\", alpha=\"0.11\", expect_size=\"10503168\"] \n  17 -> 18 [size =\"10503168\"]\n  17 -> 20 [size =\"10503168\"]\n  17 -> 21 [size =\"10503168\"]\n  18 [size=\"26784427\", alpha=\"0.05\", expect_size=\"8035328\"] \n  19 [size=\"125050880\", alpha=\"0.16\", expect_size=\"37515264\"] \n  20 [size=\"63662080\", alpha=\"0.14\", expect_size=\"19098624\"] \n  21 [size=\"80476160\", alpha=\"0.08\", expect_size=\"24142848\"] \n  22 [size=\"171659947\", alpha=\"0.10\", expect_size=\"51497984\"] \n  23 [size=\"91528533\", alpha=\"0.13\", expect_size=\"27458560\"] \n  24 [size=\"113786880\", alpha=\"0.18\", expect_size=\"34136064\"] \n  25 [size=\"18425173\", alpha=\"0.04\", expect_size=\"5527552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58142720\", alpha=\"0.09\", expect_size=\"23257088\"] \n  1 -> 23 [size =\"23257088\"]\n  1 -> 24 [size =\"23257088\"]\n  2 [size=\"57346560\", alpha=\"0.16\", expect_size=\"22938624\"] \n  2 -> 22 [size =\"22938624\"]\n  2 -> 23 [size =\"22938624\"]\n  3 [size=\"93050880\", alpha=\"0.05\", expect_size=\"37220352\"] \n  3 -> 24 [size =\"37220352\"]\n  4 [size=\"122360320\", alpha=\"0.08\", expect_size=\"48944128\"] \n  4 -> 22 [size =\"48944128\"]\n  4 -> 25 [size =\"48944128\"]\n  5 [size=\"19463680\", alpha=\"0.16\", expect_size=\"7785472\"] \n  5 -> 23 [size =\"7785472\"]\n  5 -> 25 [size =\"7785472\"]\n  6 [size=\"116377600\", alpha=\"0.04\", expect_size=\"46551040\"] \n  6 -> 23 [size =\"46551040\"]\n  6 -> 25 [size =\"46551040\"]\n  7 [size=\"32171520\", alpha=\"0.17\", expect_size=\"12868608\"] \n  7 -> 22 [size =\"12868608\"]\n  7 -> 25 [size =\"12868608\"]\n  8 [size=\"42542080\", alpha=\"0.02\", expect_size=\"17016832\"] \n  8 -> 22 [size =\"17016832\"]\n  8 -> 23 [size =\"17016832\"]\n  8 -> 25 [size =\"17016832\"]\n  9 [size=\"53923840\", alpha=\"0.16\", expect_size=\"21569536\"] \n  9 -> 22 [size =\"21569536\"]\n  9 -> 25 [size =\"21569536\"]\n  9 -> 25 [size =\"21569536\"]\n  10 [size=\"15475200\", alpha=\"0.11\", expect_size=\"6190080\"] \n  10 -> 22 [size =\"6190080\"]\n  10 -> 25 [size =\"6190080\"]\n  11 [size=\"18442240\", alpha=\"0.13\", expect_size=\"7376896\"] \n  11 -> 22 [size =\"7376896\"]\n  11 -> 25 [size =\"7376896\"]\n  12 [size=\"69319680\", alpha=\"0.06\", expect_size=\"27727872\"] \n  12 -> 25 [size =\"27727872\"]\n  13 [size=\"44577280\", alpha=\"0.12\", expect_size=\"17830912\"] \n  13 -> 22 [size =\"17830912\"]\n  13 -> 25 [size =\"17830912\"]\n  14 [size=\"75264000\", alpha=\"0.04\", expect_size=\"30105600\"] \n  14 -> 25 [size =\"30105600\"]\n  15 [size=\"123586560\", alpha=\"0.12\", expect_size=\"49434624\"] \n  15 -> 23 [size =\"49434624\"]\n  15 -> 25 [size =\"49434624\"]\n  16 [size=\"101301760\", alpha=\"0.05\", expect_size=\"40520704\"] \n  16 -> 24 [size =\"40520704\"]\n  17 [size=\"124290560\", alpha=\"0.05\", expect_size=\"49716224\"] \n  17 -> 22 [size =\"49716224\"]\n  18 [size=\"109137920\", alpha=\"0.19\", expect_size=\"43655168\"] \n  18 -> 22 [size =\"43655168\"]\n  18 -> 23 [size =\"43655168\"]\n  18 -> 25 [size =\"43655168\"]\n  19 [size=\"121454080\", alpha=\"0.18\", expect_size=\"48581632\"] \n  20 [size=\"100113920\", alpha=\"0.12\", expect_size=\"40045568\"] \n  21 [size=\"45480960\", alpha=\"0.13\", expect_size=\"18192384\"] \n  21 -> 22 [size =\"18192384\"]\n  22 [size=\"122680320\", alpha=\"0.01\", expect_size=\"49072128\"] \n  23 [size=\"39244800\", alpha=\"0.03\", expect_size=\"15697920\"] \n  24 [size=\"112327680\", alpha=\"0.04\", expect_size=\"44931072\"] \n  25 [size=\"15861760\", alpha=\"0.06\", expect_size=\"6344704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160419840\", alpha=\"0.17\", expect_size=\"48125952\"] \n  1 -> 2 [size =\"48125952\"]\n  2 [size=\"151715840\", alpha=\"0.19\", expect_size=\"45514752\"] \n  2 -> 3 [size =\"45514752\"]\n  3 [size=\"24541867\", alpha=\"0.18\", expect_size=\"7362560\"] \n  3 -> 4 [size =\"7362560\"]\n  4 [size=\"156641280\", alpha=\"0.10\", expect_size=\"46992384\"] \n  4 -> 5 [size =\"46992384\"]\n  5 [size=\"125105493\", alpha=\"0.08\", expect_size=\"37531648\"] \n  5 -> 6 [size =\"37531648\"]\n  6 [size=\"97631573\", alpha=\"0.02\", expect_size=\"29289472\"] \n  6 -> 7 [size =\"29289472\"]\n  7 [size=\"74127360\", alpha=\"0.14\", expect_size=\"22238208\"] \n  7 -> 8 [size =\"22238208\"]\n  8 [size=\"38775467\", alpha=\"0.18\", expect_size=\"11632640\"] \n  8 -> 9 [size =\"11632640\"]\n  9 [size=\"167502507\", alpha=\"0.07\", expect_size=\"50250752\"] \n  9 -> 10 [size =\"50250752\"]\n  10 [size=\"100034560\", alpha=\"0.12\", expect_size=\"30010368\"] \n  10 -> 11 [size =\"30010368\"]\n  11 [size=\"124282880\", alpha=\"0.01\", expect_size=\"37284864\"] \n  11 -> 12 [size =\"37284864\"]\n  12 [size=\"100143787\", alpha=\"0.13\", expect_size=\"30043136\"] \n  12 -> 13 [size =\"30043136\"]\n  13 [size=\"93562880\", alpha=\"0.10\", expect_size=\"28068864\"] \n  13 -> 14 [size =\"28068864\"]\n  14 [size=\"81152000\", alpha=\"0.10\", expect_size=\"24345600\"] \n  14 -> 15 [size =\"24345600\"]\n  15 [size=\"159126187\", alpha=\"0.14\", expect_size=\"47737856\"] \n  15 -> 16 [size =\"47737856\"]\n  16 [size=\"61173760\", alpha=\"0.05\", expect_size=\"18352128\"] \n  16 -> 17 [size =\"18352128\"]\n  17 [size=\"74823680\", alpha=\"0.16\", expect_size=\"22447104\"] \n  17 -> 18 [size =\"22447104\"]\n  18 [size=\"27545600\", alpha=\"0.08\", expect_size=\"8263680\"] \n  18 -> 19 [size =\"8263680\"]\n  19 [size=\"172424533\", alpha=\"0.00\", expect_size=\"51727360\"] \n  19 -> 20 [size =\"51727360\"]\n  20 [size=\"68396373\", alpha=\"0.13\", expect_size=\"20518912\"] \n  20 -> 21 [size =\"20518912\"]\n  21 [size=\"165751467\", alpha=\"0.04\", expect_size=\"49725440\"] \n  21 -> 22 [size =\"49725440\"]\n  22 [size=\"169745067\", alpha=\"0.13\", expect_size=\"50923520\"] \n  22 -> 23 [size =\"50923520\"]\n  23 [size=\"114510507\", alpha=\"0.02\", expect_size=\"34353152\"] \n  23 -> 24 [size =\"34353152\"]\n  24 [size=\"32283307\", alpha=\"0.09\", expect_size=\"9684992\"] \n  24 -> 25 [size =\"9684992\"]\n  25 [size=\"108267520\", alpha=\"0.09\", expect_size=\"32480256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46673920\", alpha=\"0.05\", expect_size=\"18669568\"] \n  1 -> 5 [size =\"18669568\"]\n  1 -> 7 [size =\"18669568\"]\n  2 [size=\"41989120\", alpha=\"0.10\", expect_size=\"16795648\"] \n  2 -> 6 [size =\"16795648\"]\n  3 [size=\"16739840\", alpha=\"0.13\", expect_size=\"6695936\"] \n  3 -> 4 [size =\"6695936\"]\n  3 -> 6 [size =\"6695936\"]\n  3 -> 7 [size =\"6695936\"]\n  4 [size=\"118835200\", alpha=\"0.00\", expect_size=\"47534080\"] \n  4 -> 8 [size =\"47534080\"]\n  4 -> 9 [size =\"47534080\"]\n  4 -> 10 [size =\"47534080\"]\n  5 [size=\"107120640\", alpha=\"0.15\", expect_size=\"42848256\"] \n  5 -> 8 [size =\"42848256\"]\n  6 [size=\"128768000\", alpha=\"0.01\", expect_size=\"51507200\"] \n  7 [size=\"42836480\", alpha=\"0.20\", expect_size=\"17134592\"] \n  7 -> 10 [size =\"17134592\"]\n  8 [size=\"28633600\", alpha=\"0.09\", expect_size=\"11453440\"] \n  8 -> 11 [size =\"11453440\"]\n  8 -> 12 [size =\"11453440\"]\n  9 [size=\"128706560\", alpha=\"0.14\", expect_size=\"51482624\"] \n  9 -> 12 [size =\"51482624\"]\n  10 [size=\"104634880\", alpha=\"0.11\", expect_size=\"41853952\"] \n  10 -> 11 [size =\"41853952\"]\n  10 -> 13 [size =\"41853952\"]\n  11 [size=\"31080960\", alpha=\"0.11\", expect_size=\"12432384\"] \n  11 -> 14 [size =\"12432384\"]\n  11 -> 16 [size =\"12432384\"]\n  11 -> 17 [size =\"12432384\"]\n  12 [size=\"63495680\", alpha=\"0.18\", expect_size=\"25398272\"] \n  13 [size=\"123466240\", alpha=\"0.14\", expect_size=\"49386496\"] \n  13 -> 15 [size =\"49386496\"]\n  13 -> 16 [size =\"49386496\"]\n  13 -> 17 [size =\"49386496\"]\n  14 [size=\"84418560\", alpha=\"0.05\", expect_size=\"33767424\"] \n  14 -> 18 [size =\"33767424\"]\n  14 -> 19 [size =\"33767424\"]\n  14 -> 20 [size =\"33767424\"]\n  15 [size=\"85918720\", alpha=\"0.08\", expect_size=\"34367488\"] \n  16 [size=\"58874880\", alpha=\"0.01\", expect_size=\"23549952\"] \n  16 -> 18 [size =\"23549952\"]\n  17 [size=\"65479680\", alpha=\"0.08\", expect_size=\"26191872\"] \n  17 -> 18 [size =\"26191872\"]\n  17 -> 19 [size =\"26191872\"]\n  17 -> 20 [size =\"26191872\"]\n  18 [size=\"65054720\", alpha=\"0.06\", expect_size=\"26021888\"] \n  18 -> 21 [size =\"26021888\"]\n  18 -> 23 [size =\"26021888\"]\n  18 -> 24 [size =\"26021888\"]\n  19 [size=\"115793920\", alpha=\"0.13\", expect_size=\"46317568\"] \n  19 -> 21 [size =\"46317568\"]\n  19 -> 24 [size =\"46317568\"]\n  20 [size=\"78858240\", alpha=\"0.07\", expect_size=\"31543296\"] \n  20 -> 22 [size =\"31543296\"]\n  20 -> 23 [size =\"31543296\"]\n  21 [size=\"25305600\", alpha=\"0.07\", expect_size=\"10122240\"] \n  22 [size=\"89095680\", alpha=\"0.11\", expect_size=\"35638272\"] \n  22 -> 25 [size =\"35638272\"]\n  23 [size=\"77806080\", alpha=\"0.16\", expect_size=\"31122432\"] \n  24 [size=\"44636160\", alpha=\"0.19\", expect_size=\"17854464\"] \n  25 [size=\"76533760\", alpha=\"0.18\", expect_size=\"30613504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23685120\", alpha=\"0.13\", expect_size=\"9474048\"] \n  1 -> 18 [size =\"9474048\"]\n  1 -> 20 [size =\"9474048\"]\n  1 -> 22 [size =\"9474048\"]\n  2 [size=\"43189760\", alpha=\"0.09\", expect_size=\"17275904\"] \n  2 -> 19 [size =\"17275904\"]\n  2 -> 20 [size =\"17275904\"]\n  2 -> 23 [size =\"17275904\"]\n  3 [size=\"59778560\", alpha=\"0.16\", expect_size=\"23911424\"] \n  3 -> 20 [size =\"23911424\"]\n  3 -> 24 [size =\"23911424\"]\n  4 [size=\"21235200\", alpha=\"0.12\", expect_size=\"8494080\"] \n  4 -> 21 [size =\"8494080\"]\n  5 [size=\"14814720\", alpha=\"0.11\", expect_size=\"5925888\"] \n  5 -> 16 [size =\"5925888\"]\n  5 -> 20 [size =\"5925888\"]\n  5 -> 21 [size =\"5925888\"]\n  5 -> 24 [size =\"5925888\"]\n  6 [size=\"63303680\", alpha=\"0.17\", expect_size=\"25321472\"] \n  6 -> 15 [size =\"25321472\"]\n  6 -> 18 [size =\"25321472\"]\n  7 [size=\"124313600\", alpha=\"0.04\", expect_size=\"49725440\"] \n  7 -> 15 [size =\"49725440\"]\n  7 -> 21 [size =\"49725440\"]\n  7 -> 22 [size =\"49725440\"]\n  8 [size=\"98524160\", alpha=\"0.10\", expect_size=\"39409664\"] \n  8 -> 15 [size =\"39409664\"]\n  8 -> 17 [size =\"39409664\"]\n  8 -> 19 [size =\"39409664\"]\n  8 -> 21 [size =\"39409664\"]\n  8 -> 23 [size =\"39409664\"]\n  9 [size=\"92536320\", alpha=\"0.14\", expect_size=\"37014528\"] \n  9 -> 15 [size =\"37014528\"]\n  9 -> 18 [size =\"37014528\"]\n  9 -> 19 [size =\"37014528\"]\n  10 [size=\"102942720\", alpha=\"0.17\", expect_size=\"41177088\"] \n  10 -> 15 [size =\"41177088\"]\n  10 -> 21 [size =\"41177088\"]\n  11 [size=\"123584000\", alpha=\"0.05\", expect_size=\"49433600\"] \n  11 -> 17 [size =\"49433600\"]\n  11 -> 21 [size =\"49433600\"]\n  11 -> 24 [size =\"49433600\"]\n  12 [size=\"84019200\", alpha=\"0.06\", expect_size=\"33607680\"] \n  12 -> 15 [size =\"33607680\"]\n  12 -> 17 [size =\"33607680\"]\n  12 -> 20 [size =\"33607680\"]\n  12 -> 24 [size =\"33607680\"]\n  13 [size=\"21158400\", alpha=\"0.09\", expect_size=\"8463360\"] \n  13 -> 16 [size =\"8463360\"]\n  13 -> 22 [size =\"8463360\"]\n  13 -> 23 [size =\"8463360\"]\n  13 -> 24 [size =\"8463360\"]\n  14 [size=\"114864640\", alpha=\"0.13\", expect_size=\"45945856\"] \n  14 -> 15 [size =\"45945856\"]\n  14 -> 25 [size =\"45945856\"]\n  15 [size=\"69160960\", alpha=\"0.07\", expect_size=\"27664384\"] \n  16 [size=\"14056960\", alpha=\"0.06\", expect_size=\"5622784\"] \n  17 [size=\"112793600\", alpha=\"0.01\", expect_size=\"45117440\"] \n  18 [size=\"15697920\", alpha=\"0.03\", expect_size=\"6279168\"] \n  19 [size=\"76449280\", alpha=\"0.07\", expect_size=\"30579712\"] \n  20 [size=\"38888960\", alpha=\"0.20\", expect_size=\"15555584\"] \n  21 [size=\"19033600\", alpha=\"0.14\", expect_size=\"7613440\"] \n  22 [size=\"45946880\", alpha=\"0.14\", expect_size=\"18378752\"] \n  23 [size=\"82357760\", alpha=\"0.01\", expect_size=\"32943104\"] \n  24 [size=\"20062720\", alpha=\"0.10\", expect_size=\"8025088\"] \n  25 [size=\"95216640\", alpha=\"0.19\", expect_size=\"38086656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171434667\", alpha=\"0.02\", expect_size=\"51430400\"] \n  1 -> 2 [size =\"51430400\"]\n  2 [size=\"154767360\", alpha=\"0.17\", expect_size=\"46430208\"] \n  2 -> 3 [size =\"46430208\"]\n  3 [size=\"55336960\", alpha=\"0.01\", expect_size=\"16601088\"] \n  3 -> 4 [size =\"16601088\"]\n  4 [size=\"61282987\", alpha=\"0.05\", expect_size=\"18384896\"] \n  4 -> 5 [size =\"18384896\"]\n  5 [size=\"109062827\", alpha=\"0.05\", expect_size=\"32718848\"] \n  5 -> 6 [size =\"32718848\"]\n  6 [size=\"161576960\", alpha=\"0.03\", expect_size=\"48473088\"] \n  6 -> 7 [size =\"48473088\"]\n  7 [size=\"78086827\", alpha=\"0.13\", expect_size=\"23426048\"] \n  7 -> 8 [size =\"23426048\"]\n  8 [size=\"23562240\", alpha=\"0.12\", expect_size=\"7068672\"] \n  8 -> 9 [size =\"7068672\"]\n  9 [size=\"74649600\", alpha=\"0.14\", expect_size=\"22394880\"] \n  9 -> 10 [size =\"22394880\"]\n  10 [size=\"49483093\", alpha=\"0.03\", expect_size=\"14844928\"] \n  10 -> 11 [size =\"14844928\"]\n  11 [size=\"61730133\", alpha=\"0.15\", expect_size=\"18519040\"] \n  11 -> 12 [size =\"18519040\"]\n  12 [size=\"79353173\", alpha=\"0.03\", expect_size=\"23805952\"] \n  12 -> 13 [size =\"23805952\"]\n  13 [size=\"57163093\", alpha=\"0.01\", expect_size=\"17148928\"] \n  13 -> 14 [size =\"17148928\"]\n  14 [size=\"65628160\", alpha=\"0.19\", expect_size=\"19688448\"] \n  14 -> 15 [size =\"19688448\"]\n  15 [size=\"105021440\", alpha=\"0.09\", expect_size=\"31506432\"] \n  15 -> 16 [size =\"31506432\"]\n  16 [size=\"145452373\", alpha=\"0.15\", expect_size=\"43635712\"] \n  16 -> 17 [size =\"43635712\"]\n  17 [size=\"169014613\", alpha=\"0.05\", expect_size=\"50704384\"] \n  17 -> 18 [size =\"50704384\"]\n  18 [size=\"113599147\", alpha=\"0.14\", expect_size=\"34079744\"] \n  18 -> 19 [size =\"34079744\"]\n  19 [size=\"51012267\", alpha=\"0.15\", expect_size=\"15303680\"] \n  19 -> 20 [size =\"15303680\"]\n  20 [size=\"159563093\", alpha=\"0.09\", expect_size=\"47868928\"] \n  20 -> 21 [size =\"47868928\"]\n  21 [size=\"27050667\", alpha=\"0.02\", expect_size=\"8115200\"] \n  21 -> 22 [size =\"8115200\"]\n  22 [size=\"145315840\", alpha=\"0.12\", expect_size=\"43594752\"] \n  22 -> 23 [size =\"43594752\"]\n  23 [size=\"167867733\", alpha=\"0.08\", expect_size=\"50360320\"] \n  23 -> 24 [size =\"50360320\"]\n  24 [size=\"173673813\", alpha=\"0.08\", expect_size=\"52102144\"] \n  24 -> 25 [size =\"52102144\"]\n  25 [size=\"168052053\", alpha=\"0.01\", expect_size=\"50415616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27281408\", alpha=\"0.03\", expect_size=\"13640704\"] \n  1 -> 10 [size =\"13640704\"]\n  1 -> 11 [size =\"13640704\"]\n  2 [size=\"12935168\", alpha=\"0.12\", expect_size=\"6467584\"] \n  2 -> 11 [size =\"6467584\"]\n  2 -> 13 [size =\"6467584\"]\n  2 -> 14 [size =\"6467584\"]\n  3 [size=\"10827776\", alpha=\"0.04\", expect_size=\"5413888\"] \n  3 -> 10 [size =\"5413888\"]\n  3 -> 11 [size =\"5413888\"]\n  3 -> 16 [size =\"5413888\"]\n  4 [size=\"36206592\", alpha=\"0.20\", expect_size=\"18103296\"] \n  4 -> 10 [size =\"18103296\"]\n  5 [size=\"64647168\", alpha=\"0.20\", expect_size=\"32323584\"] \n  5 -> 10 [size =\"32323584\"]\n  5 -> 12 [size =\"32323584\"]\n  5 -> 13 [size =\"32323584\"]\n  5 -> 14 [size =\"32323584\"]\n  5 -> 15 [size =\"32323584\"]\n  6 [size=\"30611456\", alpha=\"0.05\", expect_size=\"15305728\"] \n  6 -> 10 [size =\"15305728\"]\n  6 -> 12 [size =\"15305728\"]\n  7 [size=\"53084160\", alpha=\"0.04\", expect_size=\"26542080\"] \n  7 -> 12 [size =\"26542080\"]\n  8 [size=\"61554688\", alpha=\"0.10\", expect_size=\"30777344\"] \n  8 -> 11 [size =\"30777344\"]\n  9 [size=\"11288576\", alpha=\"0.01\", expect_size=\"5644288\"] \n  9 -> 11 [size =\"5644288\"]\n  9 -> 13 [size =\"5644288\"]\n  10 [size=\"19744768\", alpha=\"0.07\", expect_size=\"9872384\"] \n  10 -> 17 [size =\"9872384\"]\n  10 -> 19 [size =\"9872384\"]\n  10 -> 20 [size =\"9872384\"]\n  10 -> 22 [size =\"9872384\"]\n  10 -> 23 [size =\"9872384\"]\n  10 -> 25 [size =\"9872384\"]\n  11 [size=\"95449088\", alpha=\"0.15\", expect_size=\"47724544\"] \n  11 -> 18 [size =\"47724544\"]\n  11 -> 21 [size =\"47724544\"]\n  11 -> 23 [size =\"47724544\"]\n  11 -> 25 [size =\"47724544\"]\n  12 [size=\"14346240\", alpha=\"0.08\", expect_size=\"7173120\"] \n  12 -> 17 [size =\"7173120\"]\n  12 -> 18 [size =\"7173120\"]\n  12 -> 21 [size =\"7173120\"]\n  12 -> 23 [size =\"7173120\"]\n  12 -> 25 [size =\"7173120\"]\n  13 [size=\"72894464\", alpha=\"0.15\", expect_size=\"36447232\"] \n  13 -> 18 [size =\"36447232\"]\n  13 -> 19 [size =\"36447232\"]\n  13 -> 22 [size =\"36447232\"]\n  13 -> 24 [size =\"36447232\"]\n  14 [size=\"93638656\", alpha=\"0.01\", expect_size=\"46819328\"] \n  14 -> 18 [size =\"46819328\"]\n  14 -> 23 [size =\"46819328\"]\n  15 [size=\"92211200\", alpha=\"0.16\", expect_size=\"46105600\"] \n  15 -> 17 [size =\"46105600\"]\n  15 -> 18 [size =\"46105600\"]\n  15 -> 21 [size =\"46105600\"]\n  15 -> 22 [size =\"46105600\"]\n  15 -> 24 [size =\"46105600\"]\n  15 -> 25 [size =\"46105600\"]\n  16 [size=\"91015168\", alpha=\"0.06\", expect_size=\"45507584\"] \n  16 -> 17 [size =\"45507584\"]\n  16 -> 22 [size =\"45507584\"]\n  16 -> 23 [size =\"45507584\"]\n  16 -> 25 [size =\"45507584\"]\n  17 [size=\"19077120\", alpha=\"0.06\", expect_size=\"9538560\"] \n  18 [size=\"39376896\", alpha=\"0.15\", expect_size=\"19688448\"] \n  19 [size=\"88453120\", alpha=\"0.06\", expect_size=\"44226560\"] \n  20 [size=\"90886144\", alpha=\"0.09\", expect_size=\"45443072\"] \n  21 [size=\"29966336\", alpha=\"0.15\", expect_size=\"14983168\"] \n  22 [size=\"101382144\", alpha=\"0.02\", expect_size=\"50691072\"] \n  23 [size=\"45303808\", alpha=\"0.09\", expect_size=\"22651904\"] \n  24 [size=\"20772864\", alpha=\"0.01\", expect_size=\"10386432\"] \n  25 [size=\"26632192\", alpha=\"0.05\", expect_size=\"13316096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82583552\", alpha=\"0.15\", expect_size=\"41291776\"] \n  1 -> 12 [size =\"41291776\"]\n  2 [size=\"79532032\", alpha=\"0.03\", expect_size=\"39766016\"] \n  2 -> 15 [size =\"39766016\"]\n  3 [size=\"42999808\", alpha=\"0.01\", expect_size=\"21499904\"] \n  3 -> 15 [size =\"21499904\"]\n  3 -> 16 [size =\"21499904\"]\n  4 [size=\"49692672\", alpha=\"0.10\", expect_size=\"24846336\"] \n  4 -> 15 [size =\"24846336\"]\n  4 -> 16 [size =\"24846336\"]\n  5 [size=\"68378624\", alpha=\"0.02\", expect_size=\"34189312\"] \n  5 -> 15 [size =\"34189312\"]\n  5 -> 16 [size =\"34189312\"]\n  6 [size=\"38563840\", alpha=\"0.01\", expect_size=\"19281920\"] \n  6 -> 12 [size =\"19281920\"]\n  6 -> 13 [size =\"19281920\"]\n  6 -> 15 [size =\"19281920\"]\n  7 [size=\"46495744\", alpha=\"0.10\", expect_size=\"23247872\"] \n  7 -> 12 [size =\"23247872\"]\n  7 -> 15 [size =\"23247872\"]\n  8 [size=\"46026752\", alpha=\"0.18\", expect_size=\"23013376\"] \n  8 -> 13 [size =\"23013376\"]\n  8 -> 14 [size =\"23013376\"]\n  9 [size=\"78450688\", alpha=\"0.16\", expect_size=\"39225344\"] \n  9 -> 13 [size =\"39225344\"]\n  9 -> 16 [size =\"39225344\"]\n  10 [size=\"59326464\", alpha=\"0.04\", expect_size=\"29663232\"] \n  10 -> 12 [size =\"29663232\"]\n  10 -> 15 [size =\"29663232\"]\n  11 [size=\"41738240\", alpha=\"0.16\", expect_size=\"20869120\"] \n  11 -> 12 [size =\"20869120\"]\n  12 [size=\"17440768\", alpha=\"0.00\", expect_size=\"8720384\"] \n  12 -> 19 [size =\"8720384\"]\n  12 -> 20 [size =\"8720384\"]\n  13 [size=\"33144832\", alpha=\"0.01\", expect_size=\"16572416\"] \n  13 -> 19 [size =\"16572416\"]\n  13 -> 20 [size =\"16572416\"]\n  13 -> 23 [size =\"16572416\"]\n  13 -> 24 [size =\"16572416\"]\n  14 [size=\"39493632\", alpha=\"0.20\", expect_size=\"19746816\"] \n  14 -> 18 [size =\"19746816\"]\n  14 -> 21 [size =\"19746816\"]\n  14 -> 22 [size =\"19746816\"]\n  15 [size=\"85133312\", alpha=\"0.10\", expect_size=\"42566656\"] \n  15 -> 17 [size =\"42566656\"]\n  15 -> 18 [size =\"42566656\"]\n  15 -> 19 [size =\"42566656\"]\n  15 -> 21 [size =\"42566656\"]\n  15 -> 23 [size =\"42566656\"]\n  16 [size=\"93458432\", alpha=\"0.07\", expect_size=\"46729216\"] \n  16 -> 19 [size =\"46729216\"]\n  16 -> 23 [size =\"46729216\"]\n  17 [size=\"97798144\", alpha=\"0.06\", expect_size=\"48899072\"] \n  17 -> 25 [size =\"48899072\"]\n  18 [size=\"49053696\", alpha=\"0.14\", expect_size=\"24526848\"] \n  18 -> 25 [size =\"24526848\"]\n  19 [size=\"37636096\", alpha=\"0.07\", expect_size=\"18818048\"] \n  20 [size=\"19253248\", alpha=\"0.02\", expect_size=\"9626624\"] \n  21 [size=\"38799360\", alpha=\"0.13\", expect_size=\"19399680\"] \n  21 -> 25 [size =\"19399680\"]\n  22 [size=\"18292736\", alpha=\"0.18\", expect_size=\"9146368\"] \n  23 [size=\"18851840\", alpha=\"0.11\", expect_size=\"9425920\"] \n  24 [size=\"22603776\", alpha=\"0.11\", expect_size=\"11301888\"] \n  24 -> 25 [size =\"11301888\"]\n  25 [size=\"22228992\", alpha=\"0.04\", expect_size=\"11114496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57942016\", alpha=\"0.13\", expect_size=\"28971008\"] \n  1 -> 10 [size =\"28971008\"]\n  1 -> 16 [size =\"28971008\"]\n  1 -> 17 [size =\"28971008\"]\n  2 [size=\"58818560\", alpha=\"0.06\", expect_size=\"29409280\"] \n  2 -> 15 [size =\"29409280\"]\n  2 -> 19 [size =\"29409280\"]\n  2 -> 21 [size =\"29409280\"]\n  2 -> 22 [size =\"29409280\"]\n  2 -> 24 [size =\"29409280\"]\n  3 [size=\"88666112\", alpha=\"0.07\", expect_size=\"44333056\"] \n  3 -> 11 [size =\"44333056\"]\n  3 -> 12 [size =\"44333056\"]\n  3 -> 13 [size =\"44333056\"]\n  3 -> 19 [size =\"44333056\"]\n  4 [size=\"43608064\", alpha=\"0.10\", expect_size=\"21804032\"] \n  4 -> 13 [size =\"21804032\"]\n  4 -> 20 [size =\"21804032\"]\n  4 -> 23 [size =\"21804032\"]\n  4 -> 24 [size =\"21804032\"]\n  4 -> 25 [size =\"21804032\"]\n  5 [size=\"51247104\", alpha=\"0.09\", expect_size=\"25623552\"] \n  5 -> 17 [size =\"25623552\"]\n  5 -> 22 [size =\"25623552\"]\n  5 -> 25 [size =\"25623552\"]\n  6 [size=\"12519424\", alpha=\"0.12\", expect_size=\"6259712\"] \n  6 -> 13 [size =\"6259712\"]\n  6 -> 16 [size =\"6259712\"]\n  6 -> 24 [size =\"6259712\"]\n  6 -> 25 [size =\"6259712\"]\n  7 [size=\"57700352\", alpha=\"0.16\", expect_size=\"28850176\"] \n  7 -> 10 [size =\"28850176\"]\n  7 -> 13 [size =\"28850176\"]\n  7 -> 17 [size =\"28850176\"]\n  7 -> 21 [size =\"28850176\"]\n  8 [size=\"26341376\", alpha=\"0.06\", expect_size=\"13170688\"] \n  8 -> 10 [size =\"13170688\"]\n  8 -> 12 [size =\"13170688\"]\n  8 -> 14 [size =\"13170688\"]\n  8 -> 16 [size =\"13170688\"]\n  8 -> 21 [size =\"13170688\"]\n  8 -> 24 [size =\"13170688\"]\n  8 -> 25 [size =\"13170688\"]\n  9 [size=\"88057856\", alpha=\"0.08\", expect_size=\"44028928\"] \n  9 -> 12 [size =\"44028928\"]\n  9 -> 14 [size =\"44028928\"]\n  9 -> 17 [size =\"44028928\"]\n  9 -> 18 [size =\"44028928\"]\n  9 -> 21 [size =\"44028928\"]\n  9 -> 24 [size =\"44028928\"]\n  9 -> 25 [size =\"44028928\"]\n  10 [size=\"80089088\", alpha=\"0.08\", expect_size=\"40044544\"] \n  11 [size=\"30388224\", alpha=\"0.07\", expect_size=\"15194112\"] \n  12 [size=\"89790464\", alpha=\"0.06\", expect_size=\"44895232\"] \n  13 [size=\"25481216\", alpha=\"0.03\", expect_size=\"12740608\"] \n  14 [size=\"59426816\", alpha=\"0.10\", expect_size=\"29713408\"] \n  15 [size=\"13600768\", alpha=\"0.08\", expect_size=\"6800384\"] \n  16 [size=\"58056704\", alpha=\"0.07\", expect_size=\"29028352\"] \n  17 [size=\"21657600\", alpha=\"0.10\", expect_size=\"10828800\"] \n  18 [size=\"95139840\", alpha=\"0.09\", expect_size=\"47569920\"] \n  19 [size=\"31401984\", alpha=\"0.14\", expect_size=\"15700992\"] \n  20 [size=\"68392960\", alpha=\"0.04\", expect_size=\"34196480\"] \n  21 [size=\"12032000\", alpha=\"0.04\", expect_size=\"6016000\"] \n  22 [size=\"45295616\", alpha=\"0.15\", expect_size=\"22647808\"] \n  23 [size=\"74731520\", alpha=\"0.02\", expect_size=\"37365760\"] \n  24 [size=\"88072192\", alpha=\"0.16\", expect_size=\"44036096\"] \n  25 [size=\"41220096\", alpha=\"0.19\", expect_size=\"20610048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24276480\", alpha=\"0.19\", expect_size=\"9710592\"] \n  1 -> 7 [size =\"9710592\"]\n  1 -> 10 [size =\"9710592\"]\n  1 -> 11 [size =\"9710592\"]\n  1 -> 12 [size =\"9710592\"]\n  1 -> 13 [size =\"9710592\"]\n  1 -> 14 [size =\"9710592\"]\n  1 -> 17 [size =\"9710592\"]\n  2 [size=\"35210240\", alpha=\"0.09\", expect_size=\"14084096\"] \n  2 -> 11 [size =\"14084096\"]\n  2 -> 13 [size =\"14084096\"]\n  2 -> 14 [size =\"14084096\"]\n  2 -> 16 [size =\"14084096\"]\n  2 -> 17 [size =\"14084096\"]\n  3 [size=\"13821440\", alpha=\"0.14\", expect_size=\"5528576\"] \n  3 -> 7 [size =\"5528576\"]\n  3 -> 9 [size =\"5528576\"]\n  3 -> 10 [size =\"5528576\"]\n  3 -> 11 [size =\"5528576\"]\n  3 -> 14 [size =\"5528576\"]\n  3 -> 16 [size =\"5528576\"]\n  3 -> 17 [size =\"5528576\"]\n  4 [size=\"92577280\", alpha=\"0.08\", expect_size=\"37030912\"] \n  4 -> 7 [size =\"37030912\"]\n  4 -> 10 [size =\"37030912\"]\n  4 -> 11 [size =\"37030912\"]\n  4 -> 16 [size =\"37030912\"]\n  5 [size=\"51281920\", alpha=\"0.11\", expect_size=\"20512768\"] \n  5 -> 7 [size =\"20512768\"]\n  5 -> 8 [size =\"20512768\"]\n  5 -> 11 [size =\"20512768\"]\n  5 -> 12 [size =\"20512768\"]\n  5 -> 14 [size =\"20512768\"]\n  5 -> 15 [size =\"20512768\"]\n  5 -> 16 [size =\"20512768\"]\n  6 [size=\"55925760\", alpha=\"0.13\", expect_size=\"22370304\"] \n  6 -> 7 [size =\"22370304\"]\n  6 -> 10 [size =\"22370304\"]\n  6 -> 12 [size =\"22370304\"]\n  6 -> 13 [size =\"22370304\"]\n  6 -> 14 [size =\"22370304\"]\n  6 -> 15 [size =\"22370304\"]\n  6 -> 17 [size =\"22370304\"]\n  7 [size=\"44392960\", alpha=\"0.08\", expect_size=\"17757184\"] \n  7 -> 18 [size =\"17757184\"]\n  7 -> 22 [size =\"17757184\"]\n  7 -> 24 [size =\"17757184\"]\n  7 -> 25 [size =\"17757184\"]\n  8 [size=\"119825920\", alpha=\"0.05\", expect_size=\"47930368\"] \n  8 -> 18 [size =\"47930368\"]\n  8 -> 19 [size =\"47930368\"]\n  8 -> 21 [size =\"47930368\"]\n  8 -> 25 [size =\"47930368\"]\n  9 [size=\"91466240\", alpha=\"0.18\", expect_size=\"36586496\"] \n  9 -> 18 [size =\"36586496\"]\n  9 -> 21 [size =\"36586496\"]\n  9 -> 22 [size =\"36586496\"]\n  9 -> 25 [size =\"36586496\"]\n  10 [size=\"104286720\", alpha=\"0.14\", expect_size=\"41714688\"] \n  10 -> 18 [size =\"41714688\"]\n  10 -> 19 [size =\"41714688\"]\n  10 -> 21 [size =\"41714688\"]\n  10 -> 23 [size =\"41714688\"]\n  10 -> 24 [size =\"41714688\"]\n  10 -> 25 [size =\"41714688\"]\n  11 [size=\"58616320\", alpha=\"0.14\", expect_size=\"23446528\"] \n  11 -> 18 [size =\"23446528\"]\n  11 -> 20 [size =\"23446528\"]\n  11 -> 21 [size =\"23446528\"]\n  11 -> 22 [size =\"23446528\"]\n  11 -> 23 [size =\"23446528\"]\n  11 -> 24 [size =\"23446528\"]\n  11 -> 25 [size =\"23446528\"]\n  12 [size=\"53795840\", alpha=\"0.12\", expect_size=\"21518336\"] \n  12 -> 18 [size =\"21518336\"]\n  12 -> 19 [size =\"21518336\"]\n  12 -> 20 [size =\"21518336\"]\n  12 -> 21 [size =\"21518336\"]\n  12 -> 22 [size =\"21518336\"]\n  12 -> 24 [size =\"21518336\"]\n  12 -> 25 [size =\"21518336\"]\n  13 [size=\"106347520\", alpha=\"0.09\", expect_size=\"42539008\"] \n  13 -> 19 [size =\"42539008\"]\n  13 -> 20 [size =\"42539008\"]\n  13 -> 21 [size =\"42539008\"]\n  13 -> 24 [size =\"42539008\"]\n  13 -> 25 [size =\"42539008\"]\n  14 [size=\"68792320\", alpha=\"0.12\", expect_size=\"27516928\"] \n  14 -> 24 [size =\"27516928\"]\n  14 -> 25 [size =\"27516928\"]\n  15 [size=\"118681600\", alpha=\"0.09\", expect_size=\"47472640\"] \n  15 -> 18 [size =\"47472640\"]\n  15 -> 19 [size =\"47472640\"]\n  15 -> 22 [size =\"47472640\"]\n  15 -> 24 [size =\"47472640\"]\n  15 -> 25 [size =\"47472640\"]\n  16 [size=\"66644480\", alpha=\"0.18\", expect_size=\"26657792\"] \n  16 -> 19 [size =\"26657792\"]\n  16 -> 21 [size =\"26657792\"]\n  16 -> 24 [size =\"26657792\"]\n  16 -> 24 [size =\"26657792\"]\n  17 [size=\"25940480\", alpha=\"0.02\", expect_size=\"10376192\"] \n  17 -> 18 [size =\"10376192\"]\n  17 -> 20 [size =\"10376192\"]\n  17 -> 21 [size =\"10376192\"]\n  17 -> 23 [size =\"10376192\"]\n  17 -> 24 [size =\"10376192\"]\n  18 [size=\"75655680\", alpha=\"0.07\", expect_size=\"30262272\"] \n  19 [size=\"105635840\", alpha=\"0.09\", expect_size=\"42254336\"] \n  20 [size=\"91425280\", alpha=\"0.16\", expect_size=\"36570112\"] \n  21 [size=\"53798400\", alpha=\"0.04\", expect_size=\"21519360\"] \n  22 [size=\"16156160\", alpha=\"0.16\", expect_size=\"6462464\"] \n  23 [size=\"86041600\", alpha=\"0.08\", expect_size=\"34416640\"] \n  24 [size=\"24069120\", alpha=\"0.14\", expect_size=\"9627648\"] \n  25 [size=\"94507520\", alpha=\"0.06\", expect_size=\"37803008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33426773\", alpha=\"0.16\", expect_size=\"10028032\"] \n  1 -> 2 [size =\"10028032\"]\n  1 -> 3 [size =\"10028032\"]\n  2 [size=\"145954133\", alpha=\"0.02\", expect_size=\"43786240\"] \n  3 [size=\"125153280\", alpha=\"0.05\", expect_size=\"37545984\"] \n  3 -> 4 [size =\"37545984\"]\n  4 [size=\"48786773\", alpha=\"0.16\", expect_size=\"14636032\"] \n  4 -> 5 [size =\"14636032\"]\n  4 -> 6 [size =\"14636032\"]\n  5 [size=\"23435947\", alpha=\"0.05\", expect_size=\"7030784\"] \n  5 -> 7 [size =\"7030784\"]\n  5 -> 8 [size =\"7030784\"]\n  6 [size=\"123129173\", alpha=\"0.20\", expect_size=\"36938752\"] \n  7 [size=\"103499093\", alpha=\"0.18\", expect_size=\"31049728\"] \n  8 [size=\"105076053\", alpha=\"0.12\", expect_size=\"31522816\"] \n  8 -> 9 [size =\"31522816\"]\n  9 [size=\"169717760\", alpha=\"0.11\", expect_size=\"50915328\"] \n  9 -> 10 [size =\"50915328\"]\n  9 -> 11 [size =\"50915328\"]\n  10 [size=\"128416427\", alpha=\"0.16\", expect_size=\"38524928\"] \n  10 -> 12 [size =\"38524928\"]\n  11 [size=\"83800747\", alpha=\"0.12\", expect_size=\"25140224\"] \n  12 [size=\"49841493\", alpha=\"0.19\", expect_size=\"14952448\"] \n  12 -> 13 [size =\"14952448\"]\n  13 [size=\"68177920\", alpha=\"0.17\", expect_size=\"20453376\"] \n  13 -> 14 [size =\"20453376\"]\n  13 -> 15 [size =\"20453376\"]\n  14 [size=\"111213227\", alpha=\"0.08\", expect_size=\"33363968\"] \n  14 -> 16 [size =\"33363968\"]\n  15 [size=\"79749120\", alpha=\"0.09\", expect_size=\"23924736\"] \n  16 [size=\"119299413\", alpha=\"0.14\", expect_size=\"35789824\"] \n  16 -> 17 [size =\"35789824\"]\n  17 [size=\"117766827\", alpha=\"0.07\", expect_size=\"35330048\"] \n  17 -> 18 [size =\"35330048\"]\n  17 -> 19 [size =\"35330048\"]\n  18 [size=\"102696960\", alpha=\"0.01\", expect_size=\"30809088\"] \n  18 -> 20 [size =\"30809088\"]\n  18 -> 21 [size =\"30809088\"]\n  19 [size=\"37403307\", alpha=\"0.16\", expect_size=\"11220992\"] \n  20 [size=\"126661973\", alpha=\"0.09\", expect_size=\"37998592\"] \n  20 -> 22 [size =\"37998592\"]\n  21 [size=\"98010453\", alpha=\"0.04\", expect_size=\"29403136\"] \n  21 -> 22 [size =\"29403136\"]\n  21 -> 23 [size =\"29403136\"]\n  22 [size=\"31375360\", alpha=\"0.15\", expect_size=\"9412608\"] \n  22 -> 24 [size =\"9412608\"]\n  23 [size=\"25265493\", alpha=\"0.00\", expect_size=\"7579648\"] \n  24 [size=\"157160107\", alpha=\"0.09\", expect_size=\"47148032\"] \n  24 -> 25 [size =\"47148032\"]\n  25 [size=\"64440320\", alpha=\"0.19\", expect_size=\"19332096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68795733\", alpha=\"0.05\", expect_size=\"20638720\"] \n  1 -> 18 [size =\"20638720\"]\n  1 -> 20 [size =\"20638720\"]\n  1 -> 21 [size =\"20638720\"]\n  1 -> 24 [size =\"20638720\"]\n  1 -> 25 [size =\"20638720\"]\n  2 [size=\"71881387\", alpha=\"0.02\", expect_size=\"21564416\"] \n  2 -> 21 [size =\"21564416\"]\n  2 -> 25 [size =\"21564416\"]\n  3 [size=\"44475733\", alpha=\"0.09\", expect_size=\"13342720\"] \n  3 -> 17 [size =\"13342720\"]\n  3 -> 19 [size =\"13342720\"]\n  3 -> 21 [size =\"13342720\"]\n  3 -> 24 [size =\"13342720\"]\n  4 [size=\"148712107\", alpha=\"0.17\", expect_size=\"44613632\"] \n  4 -> 17 [size =\"44613632\"]\n  4 -> 19 [size =\"44613632\"]\n  4 -> 21 [size =\"44613632\"]\n  4 -> 23 [size =\"44613632\"]\n  5 [size=\"158344533\", alpha=\"0.12\", expect_size=\"47503360\"] \n  5 -> 19 [size =\"47503360\"]\n  5 -> 21 [size =\"47503360\"]\n  6 [size=\"36922027\", alpha=\"0.02\", expect_size=\"11076608\"] \n  6 -> 20 [size =\"11076608\"]\n  7 [size=\"167499093\", alpha=\"0.10\", expect_size=\"50249728\"] \n  7 -> 17 [size =\"50249728\"]\n  7 -> 18 [size =\"50249728\"]\n  7 -> 21 [size =\"50249728\"]\n  7 -> 25 [size =\"50249728\"]\n  8 [size=\"83138560\", alpha=\"0.15\", expect_size=\"24941568\"] \n  8 -> 17 [size =\"24941568\"]\n  8 -> 18 [size =\"24941568\"]\n  8 -> 21 [size =\"24941568\"]\n  9 [size=\"34362027\", alpha=\"0.20\", expect_size=\"10308608\"] \n  9 -> 17 [size =\"10308608\"]\n  9 -> 18 [size =\"10308608\"]\n  9 -> 20 [size =\"10308608\"]\n  9 -> 22 [size =\"10308608\"]\n  10 [size=\"120060587\", alpha=\"0.03\", expect_size=\"36018176\"] \n  10 -> 17 [size =\"36018176\"]\n  10 -> 18 [size =\"36018176\"]\n  10 -> 20 [size =\"36018176\"]\n  10 -> 21 [size =\"36018176\"]\n  10 -> 22 [size =\"36018176\"]\n  10 -> 23 [size =\"36018176\"]\n  10 -> 25 [size =\"36018176\"]\n  11 [size=\"34754560\", alpha=\"0.11\", expect_size=\"10426368\"] \n  11 -> 17 [size =\"10426368\"]\n  11 -> 18 [size =\"10426368\"]\n  12 [size=\"72608427\", alpha=\"0.03\", expect_size=\"21782528\"] \n  12 -> 17 [size =\"21782528\"]\n  12 -> 18 [size =\"21782528\"]\n  12 -> 22 [size =\"21782528\"]\n  12 -> 23 [size =\"21782528\"]\n  12 -> 25 [size =\"21782528\"]\n  13 [size=\"87910400\", alpha=\"0.10\", expect_size=\"26373120\"] \n  13 -> 17 [size =\"26373120\"]\n  13 -> 18 [size =\"26373120\"]\n  13 -> 20 [size =\"26373120\"]\n  13 -> 22 [size =\"26373120\"]\n  13 -> 25 [size =\"26373120\"]\n  14 [size=\"155060907\", alpha=\"0.06\", expect_size=\"46518272\"] \n  14 -> 19 [size =\"46518272\"]\n  14 -> 23 [size =\"46518272\"]\n  14 -> 25 [size =\"46518272\"]\n  15 [size=\"129553067\", alpha=\"0.19\", expect_size=\"38865920\"] \n  15 -> 19 [size =\"38865920\"]\n  15 -> 20 [size =\"38865920\"]\n  15 -> 23 [size =\"38865920\"]\n  15 -> 25 [size =\"38865920\"]\n  16 [size=\"62917973\", alpha=\"0.02\", expect_size=\"18875392\"] \n  16 -> 18 [size =\"18875392\"]\n  16 -> 20 [size =\"18875392\"]\n  16 -> 24 [size =\"18875392\"]\n  16 -> 25 [size =\"18875392\"]\n  17 [size=\"79360000\", alpha=\"0.02\", expect_size=\"23808000\"] \n  18 [size=\"161003520\", alpha=\"0.19\", expect_size=\"48301056\"] \n  19 [size=\"118408533\", alpha=\"0.18\", expect_size=\"35522560\"] \n  20 [size=\"115613013\", alpha=\"0.03\", expect_size=\"34683904\"] \n  21 [size=\"139318613\", alpha=\"0.15\", expect_size=\"41795584\"] \n  22 [size=\"65399467\", alpha=\"0.13\", expect_size=\"19619840\"] \n  23 [size=\"91569493\", alpha=\"0.15\", expect_size=\"27470848\"] \n  24 [size=\"172851200\", alpha=\"0.14\", expect_size=\"51855360\"] \n  25 [size=\"63112533\", alpha=\"0.11\", expect_size=\"18933760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74358784\", alpha=\"0.17\", expect_size=\"37179392\"] \n  1 -> 2 [size =\"37179392\"]\n  2 [size=\"72216576\", alpha=\"0.09\", expect_size=\"36108288\"] \n  2 -> 3 [size =\"36108288\"]\n  3 [size=\"13957120\", alpha=\"0.18\", expect_size=\"6978560\"] \n  3 -> 4 [size =\"6978560\"]\n  4 [size=\"62699520\", alpha=\"0.14\", expect_size=\"31349760\"] \n  4 -> 5 [size =\"31349760\"]\n  5 [size=\"96184320\", alpha=\"0.19\", expect_size=\"48092160\"] \n  5 -> 6 [size =\"48092160\"]\n  6 [size=\"97658880\", alpha=\"0.12\", expect_size=\"48829440\"] \n  6 -> 7 [size =\"48829440\"]\n  7 [size=\"58337280\", alpha=\"0.10\", expect_size=\"29168640\"] \n  7 -> 8 [size =\"29168640\"]\n  8 [size=\"66220032\", alpha=\"0.03\", expect_size=\"33110016\"] \n  8 -> 9 [size =\"33110016\"]\n  9 [size=\"68581376\", alpha=\"0.05\", expect_size=\"34290688\"] \n  9 -> 10 [size =\"34290688\"]\n  10 [size=\"30267392\", alpha=\"0.08\", expect_size=\"15133696\"] \n  10 -> 11 [size =\"15133696\"]\n  11 [size=\"57294848\", alpha=\"0.08\", expect_size=\"28647424\"] \n  11 -> 12 [size =\"28647424\"]\n  12 [size=\"42407936\", alpha=\"0.14\", expect_size=\"21203968\"] \n  12 -> 13 [size =\"21203968\"]\n  13 [size=\"87232512\", alpha=\"0.15\", expect_size=\"43616256\"] \n  13 -> 14 [size =\"43616256\"]\n  14 [size=\"78235648\", alpha=\"0.08\", expect_size=\"39117824\"] \n  14 -> 15 [size =\"39117824\"]\n  15 [size=\"48971776\", alpha=\"0.15\", expect_size=\"24485888\"] \n  15 -> 16 [size =\"24485888\"]\n  16 [size=\"46125056\", alpha=\"0.00\", expect_size=\"23062528\"] \n  16 -> 17 [size =\"23062528\"]\n  17 [size=\"10715136\", alpha=\"0.05\", expect_size=\"5357568\"] \n  17 -> 18 [size =\"5357568\"]\n  18 [size=\"57874432\", alpha=\"0.18\", expect_size=\"28937216\"] \n  18 -> 19 [size =\"28937216\"]\n  19 [size=\"71770112\", alpha=\"0.19\", expect_size=\"35885056\"] \n  19 -> 20 [size =\"35885056\"]\n  20 [size=\"94431232\", alpha=\"0.09\", expect_size=\"47215616\"] \n  20 -> 21 [size =\"47215616\"]\n  21 [size=\"37144576\", alpha=\"0.12\", expect_size=\"18572288\"] \n  21 -> 22 [size =\"18572288\"]\n  22 [size=\"75974656\", alpha=\"0.09\", expect_size=\"37987328\"] \n  22 -> 23 [size =\"37987328\"]\n  23 [size=\"45879296\", alpha=\"0.06\", expect_size=\"22939648\"] \n  23 -> 24 [size =\"22939648\"]\n  24 [size=\"20600832\", alpha=\"0.14\", expect_size=\"10300416\"] \n  24 -> 25 [size =\"10300416\"]\n  25 [size=\"57319424\", alpha=\"0.00\", expect_size=\"28659712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55975253\", alpha=\"0.06\", expect_size=\"16792576\"] \n  1 -> 4 [size =\"16792576\"]\n  2 [size=\"26238293\", alpha=\"0.19\", expect_size=\"7871488\"] \n  2 -> 3 [size =\"7871488\"]\n  3 [size=\"19817813\", alpha=\"0.17\", expect_size=\"5945344\"] \n  3 -> 5 [size =\"5945344\"]\n  3 -> 6 [size =\"5945344\"]\n  4 [size=\"67297280\", alpha=\"0.01\", expect_size=\"20189184\"] \n  5 [size=\"133905067\", alpha=\"0.19\", expect_size=\"40171520\"] \n  5 -> 7 [size =\"40171520\"]\n  6 [size=\"59825493\", alpha=\"0.18\", expect_size=\"17947648\"] \n  6 -> 8 [size =\"17947648\"]\n  7 [size=\"145247573\", alpha=\"0.19\", expect_size=\"43574272\"] \n  7 -> 9 [size =\"43574272\"]\n  7 -> 10 [size =\"43574272\"]\n  8 [size=\"34645333\", alpha=\"0.08\", expect_size=\"10393600\"] \n  9 [size=\"91129173\", alpha=\"0.01\", expect_size=\"27338752\"] \n  10 [size=\"107062613\", alpha=\"0.05\", expect_size=\"32118784\"] \n  10 -> 11 [size =\"32118784\"]\n  10 -> 12 [size =\"32118784\"]\n  11 [size=\"90883413\", alpha=\"0.19\", expect_size=\"27265024\"] \n  12 [size=\"138134187\", alpha=\"0.13\", expect_size=\"41440256\"] \n  12 -> 13 [size =\"41440256\"]\n  13 [size=\"133229227\", alpha=\"0.15\", expect_size=\"39968768\"] \n  13 -> 14 [size =\"39968768\"]\n  14 [size=\"111107413\", alpha=\"0.09\", expect_size=\"33332224\"] \n  14 -> 15 [size =\"33332224\"]\n  15 [size=\"115657387\", alpha=\"0.03\", expect_size=\"34697216\"] \n  15 -> 16 [size =\"34697216\"]\n  16 [size=\"105468587\", alpha=\"0.08\", expect_size=\"31640576\"] \n  16 -> 17 [size =\"31640576\"]\n  17 [size=\"91784533\", alpha=\"0.03\", expect_size=\"27535360\"] \n  17 -> 18 [size =\"27535360\"]\n  17 -> 19 [size =\"27535360\"]\n  18 [size=\"81053013\", alpha=\"0.08\", expect_size=\"24315904\"] \n  18 -> 20 [size =\"24315904\"]\n  18 -> 21 [size =\"24315904\"]\n  19 [size=\"147609600\", alpha=\"0.03\", expect_size=\"44282880\"] \n  20 [size=\"158996480\", alpha=\"0.01\", expect_size=\"47698944\"] \n  20 -> 22 [size =\"47698944\"]\n  21 [size=\"42943147\", alpha=\"0.03\", expect_size=\"12882944\"] \n  22 [size=\"36877653\", alpha=\"0.06\", expect_size=\"11063296\"] \n  22 -> 23 [size =\"11063296\"]\n  23 [size=\"136645973\", alpha=\"0.10\", expect_size=\"40993792\"] \n  23 -> 24 [size =\"40993792\"]\n  24 [size=\"95713280\", alpha=\"0.00\", expect_size=\"28713984\"] \n  24 -> 25 [size =\"28713984\"]\n  25 [size=\"169297920\", alpha=\"0.05\", expect_size=\"50789376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90496000\", alpha=\"0.14\", expect_size=\"36198400\"] \n  1 -> 9 [size =\"36198400\"]\n  1 -> 13 [size =\"36198400\"]\n  2 [size=\"22072320\", alpha=\"0.08\", expect_size=\"8828928\"] \n  2 -> 9 [size =\"8828928\"]\n  2 -> 11 [size =\"8828928\"]\n  2 -> 12 [size =\"8828928\"]\n  2 -> 14 [size =\"8828928\"]\n  2 -> 15 [size =\"8828928\"]\n  3 [size=\"34792960\", alpha=\"0.19\", expect_size=\"13917184\"] \n  3 -> 12 [size =\"13917184\"]\n  3 -> 13 [size =\"13917184\"]\n  4 [size=\"117442560\", alpha=\"0.07\", expect_size=\"46977024\"] \n  4 -> 10 [size =\"46977024\"]\n  5 [size=\"13207040\", alpha=\"0.13\", expect_size=\"5282816\"] \n  5 -> 10 [size =\"5282816\"]\n  5 -> 13 [size =\"5282816\"]\n  5 -> 14 [size =\"5282816\"]\n  6 [size=\"120332800\", alpha=\"0.05\", expect_size=\"48133120\"] \n  6 -> 13 [size =\"48133120\"]\n  6 -> 15 [size =\"48133120\"]\n  7 [size=\"36613120\", alpha=\"0.18\", expect_size=\"14645248\"] \n  8 [size=\"100567040\", alpha=\"0.19\", expect_size=\"40226816\"] \n  8 -> 10 [size =\"40226816\"]\n  8 -> 12 [size =\"40226816\"]\n  8 -> 14 [size =\"40226816\"]\n  8 -> 15 [size =\"40226816\"]\n  8 -> 16 [size =\"40226816\"]\n  8 -> 17 [size =\"40226816\"]\n  9 [size=\"98961920\", alpha=\"0.08\", expect_size=\"39584768\"] \n  10 [size=\"95680000\", alpha=\"0.20\", expect_size=\"38272000\"] \n  10 -> 18 [size =\"38272000\"]\n  10 -> 19 [size =\"38272000\"]\n  10 -> 21 [size =\"38272000\"]\n  11 [size=\"40576000\", alpha=\"0.09\", expect_size=\"16230400\"] \n  11 -> 21 [size =\"16230400\"]\n  11 -> 22 [size =\"16230400\"]\n  11 -> 24 [size =\"16230400\"]\n  12 [size=\"126021120\", alpha=\"0.15\", expect_size=\"50408448\"] \n  12 -> 21 [size =\"50408448\"]\n  13 [size=\"53798400\", alpha=\"0.14\", expect_size=\"21519360\"] \n  13 -> 20 [size =\"21519360\"]\n  13 -> 21 [size =\"21519360\"]\n  13 -> 23 [size =\"21519360\"]\n  14 [size=\"50839040\", alpha=\"0.15\", expect_size=\"20335616\"] \n  14 -> 20 [size =\"20335616\"]\n  14 -> 22 [size =\"20335616\"]\n  14 -> 23 [size =\"20335616\"]\n  15 [size=\"92546560\", alpha=\"0.11\", expect_size=\"37018624\"] \n  15 -> 23 [size =\"37018624\"]\n  15 -> 25 [size =\"37018624\"]\n  16 [size=\"53680640\", alpha=\"0.05\", expect_size=\"21472256\"] \n  16 -> 20 [size =\"21472256\"]\n  16 -> 21 [size =\"21472256\"]\n  16 -> 22 [size =\"21472256\"]\n  16 -> 23 [size =\"21472256\"]\n  16 -> 25 [size =\"21472256\"]\n  17 [size=\"80936960\", alpha=\"0.12\", expect_size=\"32374784\"] \n  17 -> 19 [size =\"32374784\"]\n  17 -> 20 [size =\"32374784\"]\n  17 -> 22 [size =\"32374784\"]\n  17 -> 25 [size =\"32374784\"]\n  18 [size=\"67642880\", alpha=\"0.14\", expect_size=\"27057152\"] \n  19 [size=\"59256320\", alpha=\"0.01\", expect_size=\"23702528\"] \n  20 [size=\"104865280\", alpha=\"0.10\", expect_size=\"41946112\"] \n  21 [size=\"103979520\", alpha=\"0.12\", expect_size=\"41591808\"] \n  22 [size=\"40806400\", alpha=\"0.15\", expect_size=\"16322560\"] \n  23 [size=\"127651840\", alpha=\"0.02\", expect_size=\"51060736\"] \n  24 [size=\"91599360\", alpha=\"0.07\", expect_size=\"36639744\"] \n  25 [size=\"59924480\", alpha=\"0.11\", expect_size=\"23969792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23715840\", alpha=\"0.02\", expect_size=\"9486336\"] \n  1 -> 2 [size =\"9486336\"]\n  2 [size=\"15336960\", alpha=\"0.19\", expect_size=\"6134784\"] \n  2 -> 3 [size =\"6134784\"]\n  3 [size=\"52433920\", alpha=\"0.01\", expect_size=\"20973568\"] \n  3 -> 4 [size =\"20973568\"]\n  4 [size=\"28221440\", alpha=\"0.15\", expect_size=\"11288576\"] \n  4 -> 5 [size =\"11288576\"]\n  5 [size=\"63155200\", alpha=\"0.15\", expect_size=\"25262080\"] \n  5 -> 6 [size =\"25262080\"]\n  6 [size=\"45562880\", alpha=\"0.11\", expect_size=\"18225152\"] \n  6 -> 7 [size =\"18225152\"]\n  7 [size=\"67302400\", alpha=\"0.17\", expect_size=\"26920960\"] \n  7 -> 8 [size =\"26920960\"]\n  8 [size=\"116472320\", alpha=\"0.01\", expect_size=\"46588928\"] \n  8 -> 9 [size =\"46588928\"]\n  9 [size=\"91888640\", alpha=\"0.19\", expect_size=\"36755456\"] \n  9 -> 10 [size =\"36755456\"]\n  10 [size=\"127685120\", alpha=\"0.01\", expect_size=\"51074048\"] \n  10 -> 11 [size =\"51074048\"]\n  11 [size=\"32816640\", alpha=\"0.08\", expect_size=\"13126656\"] \n  11 -> 12 [size =\"13126656\"]\n  12 [size=\"46200320\", alpha=\"0.19\", expect_size=\"18480128\"] \n  12 -> 13 [size =\"18480128\"]\n  13 [size=\"37491200\", alpha=\"0.08\", expect_size=\"14996480\"] \n  13 -> 14 [size =\"14996480\"]\n  14 [size=\"45025280\", alpha=\"0.04\", expect_size=\"18010112\"] \n  14 -> 15 [size =\"18010112\"]\n  15 [size=\"13112320\", alpha=\"0.17\", expect_size=\"5244928\"] \n  15 -> 16 [size =\"5244928\"]\n  16 [size=\"98995200\", alpha=\"0.09\", expect_size=\"39598080\"] \n  16 -> 17 [size =\"39598080\"]\n  17 [size=\"43179520\", alpha=\"0.05\", expect_size=\"17271808\"] \n  17 -> 18 [size =\"17271808\"]\n  18 [size=\"27143680\", alpha=\"0.14\", expect_size=\"10857472\"] \n  18 -> 19 [size =\"10857472\"]\n  19 [size=\"34695680\", alpha=\"0.04\", expect_size=\"13878272\"] \n  19 -> 20 [size =\"13878272\"]\n  20 [size=\"27758080\", alpha=\"0.08\", expect_size=\"11103232\"] \n  20 -> 21 [size =\"11103232\"]\n  21 [size=\"36346880\", alpha=\"0.14\", expect_size=\"14538752\"] \n  21 -> 22 [size =\"14538752\"]\n  22 [size=\"86371840\", alpha=\"0.01\", expect_size=\"34548736\"] \n  22 -> 23 [size =\"34548736\"]\n  23 [size=\"79531520\", alpha=\"0.14\", expect_size=\"31812608\"] \n  23 -> 24 [size =\"31812608\"]\n  24 [size=\"125882880\", alpha=\"0.10\", expect_size=\"50353152\"] \n  24 -> 25 [size =\"50353152\"]\n  25 [size=\"29726720\", alpha=\"0.14\", expect_size=\"11890688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79308800\", alpha=\"0.18\", expect_size=\"39654400\"] \n  1 -> 2 [size =\"39654400\"]\n  1 -> 3 [size =\"39654400\"]\n  2 [size=\"12611584\", alpha=\"0.03\", expect_size=\"6305792\"] \n  2 -> 5 [size =\"6305792\"]\n  3 [size=\"92983296\", alpha=\"0.11\", expect_size=\"46491648\"] \n  3 -> 4 [size =\"46491648\"]\n  4 [size=\"36026368\", alpha=\"0.14\", expect_size=\"18013184\"] \n  5 [size=\"24156160\", alpha=\"0.15\", expect_size=\"12078080\"] \n  5 -> 6 [size =\"12078080\"]\n  6 [size=\"95711232\", alpha=\"0.03\", expect_size=\"47855616\"] \n  6 -> 7 [size =\"47855616\"]\n  6 -> 8 [size =\"47855616\"]\n  7 [size=\"68149248\", alpha=\"0.04\", expect_size=\"34074624\"] \n  7 -> 9 [size =\"34074624\"]\n  8 [size=\"63563776\", alpha=\"0.14\", expect_size=\"31781888\"] \n  8 -> 10 [size =\"31781888\"]\n  9 [size=\"63113216\", alpha=\"0.04\", expect_size=\"31556608\"] \n  9 -> 11 [size =\"31556608\"]\n  10 [size=\"86040576\", alpha=\"0.10\", expect_size=\"43020288\"] \n  11 [size=\"40572928\", alpha=\"0.14\", expect_size=\"20286464\"] \n  11 -> 12 [size =\"20286464\"]\n  11 -> 13 [size =\"20286464\"]\n  12 [size=\"29814784\", alpha=\"0.02\", expect_size=\"14907392\"] \n  12 -> 14 [size =\"14907392\"]\n  13 [size=\"41668608\", alpha=\"0.05\", expect_size=\"20834304\"] \n  13 -> 14 [size =\"20834304\"]\n  14 [size=\"93046784\", alpha=\"0.06\", expect_size=\"46523392\"] \n  14 -> 15 [size =\"46523392\"]\n  14 -> 16 [size =\"46523392\"]\n  15 [size=\"64667648\", alpha=\"0.19\", expect_size=\"32333824\"] \n  15 -> 17 [size =\"32333824\"]\n  16 [size=\"39182336\", alpha=\"0.07\", expect_size=\"19591168\"] \n  16 -> 17 [size =\"19591168\"]\n  16 -> 18 [size =\"19591168\"]\n  17 [size=\"54689792\", alpha=\"0.07\", expect_size=\"27344896\"] \n  17 -> 19 [size =\"27344896\"]\n  17 -> 20 [size =\"27344896\"]\n  18 [size=\"71868416\", alpha=\"0.10\", expect_size=\"35934208\"] \n  18 -> 19 [size =\"35934208\"]\n  19 [size=\"43730944\", alpha=\"0.05\", expect_size=\"21865472\"] \n  19 -> 21 [size =\"21865472\"]\n  20 [size=\"61521920\", alpha=\"0.06\", expect_size=\"30760960\"] \n  20 -> 21 [size =\"30760960\"]\n  21 [size=\"16660480\", alpha=\"0.02\", expect_size=\"8330240\"] \n  21 -> 22 [size =\"8330240\"]\n  22 [size=\"83011584\", alpha=\"0.18\", expect_size=\"41505792\"] \n  22 -> 23 [size =\"41505792\"]\n  23 [size=\"93945856\", alpha=\"0.12\", expect_size=\"46972928\"] \n  23 -> 24 [size =\"46972928\"]\n  24 [size=\"25266176\", alpha=\"0.11\", expect_size=\"12633088\"] \n  24 -> 25 [size =\"12633088\"]\n  25 [size=\"51574784\", alpha=\"0.14\", expect_size=\"25787392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104517632\", alpha=\"0.08\", expect_size=\"52258816\"] \n  1 -> 2 [size =\"52258816\"]\n  2 [size=\"93194240\", alpha=\"0.18\", expect_size=\"46597120\"] \n  2 -> 3 [size =\"46597120\"]\n  3 [size=\"69199872\", alpha=\"0.14\", expect_size=\"34599936\"] \n  3 -> 4 [size =\"34599936\"]\n  4 [size=\"76044288\", alpha=\"0.05\", expect_size=\"38022144\"] \n  4 -> 5 [size =\"38022144\"]\n  5 [size=\"51234816\", alpha=\"0.10\", expect_size=\"25617408\"] \n  5 -> 6 [size =\"25617408\"]\n  6 [size=\"21592064\", alpha=\"0.09\", expect_size=\"10796032\"] \n  6 -> 7 [size =\"10796032\"]\n  7 [size=\"95696896\", alpha=\"0.15\", expect_size=\"47848448\"] \n  7 -> 8 [size =\"47848448\"]\n  8 [size=\"24948736\", alpha=\"0.20\", expect_size=\"12474368\"] \n  8 -> 9 [size =\"12474368\"]\n  9 [size=\"30490624\", alpha=\"0.13\", expect_size=\"15245312\"] \n  9 -> 10 [size =\"15245312\"]\n  10 [size=\"78964736\", alpha=\"0.15\", expect_size=\"39482368\"] \n  10 -> 11 [size =\"39482368\"]\n  11 [size=\"41807872\", alpha=\"0.18\", expect_size=\"20903936\"] \n  11 -> 12 [size =\"20903936\"]\n  12 [size=\"78239744\", alpha=\"0.04\", expect_size=\"39119872\"] \n  12 -> 13 [size =\"39119872\"]\n  13 [size=\"66820096\", alpha=\"0.00\", expect_size=\"33410048\"] \n  13 -> 14 [size =\"33410048\"]\n  14 [size=\"40851456\", alpha=\"0.09\", expect_size=\"20425728\"] \n  14 -> 15 [size =\"20425728\"]\n  15 [size=\"66404352\", alpha=\"0.18\", expect_size=\"33202176\"] \n  15 -> 16 [size =\"33202176\"]\n  16 [size=\"18063360\", alpha=\"0.07\", expect_size=\"9031680\"] \n  16 -> 17 [size =\"9031680\"]\n  17 [size=\"58626048\", alpha=\"0.03\", expect_size=\"29313024\"] \n  17 -> 18 [size =\"29313024\"]\n  18 [size=\"32974848\", alpha=\"0.07\", expect_size=\"16487424\"] \n  18 -> 19 [size =\"16487424\"]\n  19 [size=\"30978048\", alpha=\"0.15\", expect_size=\"15489024\"] \n  19 -> 20 [size =\"15489024\"]\n  20 [size=\"91162624\", alpha=\"0.03\", expect_size=\"45581312\"] \n  20 -> 21 [size =\"45581312\"]\n  21 [size=\"67047424\", alpha=\"0.11\", expect_size=\"33523712\"] \n  21 -> 22 [size =\"33523712\"]\n  22 [size=\"59815936\", alpha=\"0.17\", expect_size=\"29907968\"] \n  22 -> 23 [size =\"29907968\"]\n  23 [size=\"77074432\", alpha=\"0.15\", expect_size=\"38537216\"] \n  23 -> 24 [size =\"38537216\"]\n  24 [size=\"79411200\", alpha=\"0.08\", expect_size=\"39705600\"] \n  24 -> 25 [size =\"39705600\"]\n  25 [size=\"26593280\", alpha=\"0.08\", expect_size=\"13296640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30814208\", alpha=\"0.10\", expect_size=\"15407104\"] \n  1 -> 13 [size =\"15407104\"]\n  1 -> 15 [size =\"15407104\"]\n  2 [size=\"54118400\", alpha=\"0.17\", expect_size=\"27059200\"] \n  2 -> 10 [size =\"27059200\"]\n  2 -> 11 [size =\"27059200\"]\n  2 -> 13 [size =\"27059200\"]\n  2 -> 14 [size =\"27059200\"]\n  2 -> 15 [size =\"27059200\"]\n  3 [size=\"91555840\", alpha=\"0.05\", expect_size=\"45777920\"] \n  3 -> 13 [size =\"45777920\"]\n  3 -> 14 [size =\"45777920\"]\n  3 -> 17 [size =\"45777920\"]\n  4 [size=\"19206144\", alpha=\"0.16\", expect_size=\"9603072\"] \n  4 -> 10 [size =\"9603072\"]\n  4 -> 11 [size =\"9603072\"]\n  4 -> 13 [size =\"9603072\"]\n  4 -> 14 [size =\"9603072\"]\n  4 -> 17 [size =\"9603072\"]\n  5 [size=\"74186752\", alpha=\"0.06\", expect_size=\"37093376\"] \n  5 -> 10 [size =\"37093376\"]\n  5 -> 12 [size =\"37093376\"]\n  5 -> 14 [size =\"37093376\"]\n  5 -> 15 [size =\"37093376\"]\n  5 -> 16 [size =\"37093376\"]\n  6 [size=\"53112832\", alpha=\"0.16\", expect_size=\"26556416\"] \n  6 -> 17 [size =\"26556416\"]\n  7 [size=\"22745088\", alpha=\"0.17\", expect_size=\"11372544\"] \n  7 -> 10 [size =\"11372544\"]\n  7 -> 13 [size =\"11372544\"]\n  7 -> 16 [size =\"11372544\"]\n  8 [size=\"17541120\", alpha=\"0.12\", expect_size=\"8770560\"] \n  8 -> 10 [size =\"8770560\"]\n  8 -> 13 [size =\"8770560\"]\n  9 [size=\"84860928\", alpha=\"0.08\", expect_size=\"42430464\"] \n  9 -> 10 [size =\"42430464\"]\n  9 -> 11 [size =\"42430464\"]\n  9 -> 13 [size =\"42430464\"]\n  9 -> 17 [size =\"42430464\"]\n  10 [size=\"69382144\", alpha=\"0.16\", expect_size=\"34691072\"] \n  10 -> 18 [size =\"34691072\"]\n  10 -> 19 [size =\"34691072\"]\n  10 -> 21 [size =\"34691072\"]\n  10 -> 22 [size =\"34691072\"]\n  10 -> 23 [size =\"34691072\"]\n  10 -> 25 [size =\"34691072\"]\n  11 [size=\"64989184\", alpha=\"0.05\", expect_size=\"32494592\"] \n  11 -> 19 [size =\"32494592\"]\n  11 -> 19 [size =\"32494592\"]\n  12 [size=\"16891904\", alpha=\"0.08\", expect_size=\"8445952\"] \n  12 -> 18 [size =\"8445952\"]\n  12 -> 19 [size =\"8445952\"]\n  13 [size=\"95330304\", alpha=\"0.18\", expect_size=\"47665152\"] \n  13 -> 20 [size =\"47665152\"]\n  13 -> 21 [size =\"47665152\"]\n  13 -> 25 [size =\"47665152\"]\n  14 [size=\"26408960\", alpha=\"0.17\", expect_size=\"13204480\"] \n  14 -> 19 [size =\"13204480\"]\n  14 -> 21 [size =\"13204480\"]\n  14 -> 24 [size =\"13204480\"]\n  15 [size=\"100597760\", alpha=\"0.02\", expect_size=\"50298880\"] \n  15 -> 20 [size =\"50298880\"]\n  15 -> 21 [size =\"50298880\"]\n  16 [size=\"33079296\", alpha=\"0.03\", expect_size=\"16539648\"] \n  16 -> 21 [size =\"16539648\"]\n  16 -> 25 [size =\"16539648\"]\n  17 [size=\"15147008\", alpha=\"0.02\", expect_size=\"7573504\"] \n  17 -> 18 [size =\"7573504\"]\n  17 -> 21 [size =\"7573504\"]\n  17 -> 23 [size =\"7573504\"]\n  17 -> 25 [size =\"7573504\"]\n  18 [size=\"95979520\", alpha=\"0.01\", expect_size=\"47989760\"] \n  19 [size=\"58931200\", alpha=\"0.13\", expect_size=\"29465600\"] \n  20 [size=\"96481280\", alpha=\"0.03\", expect_size=\"48240640\"] \n  21 [size=\"78401536\", alpha=\"0.18\", expect_size=\"39200768\"] \n  22 [size=\"102240256\", alpha=\"0.03\", expect_size=\"51120128\"] \n  23 [size=\"44146688\", alpha=\"0.04\", expect_size=\"22073344\"] \n  24 [size=\"36411392\", alpha=\"0.07\", expect_size=\"18205696\"] \n  25 [size=\"24035328\", alpha=\"0.04\", expect_size=\"12017664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131566933\", alpha=\"0.01\", expect_size=\"39470080\"] \n  1 -> 6 [size =\"39470080\"]\n  2 [size=\"26347520\", alpha=\"0.18\", expect_size=\"7904256\"] \n  2 -> 4 [size =\"7904256\"]\n  2 -> 5 [size =\"7904256\"]\n  2 -> 7 [size =\"7904256\"]\n  3 [size=\"26685440\", alpha=\"0.12\", expect_size=\"8005632\"] \n  3 -> 4 [size =\"8005632\"]\n  3 -> 7 [size =\"8005632\"]\n  4 [size=\"35334827\", alpha=\"0.07\", expect_size=\"10600448\"] \n  4 -> 10 [size =\"10600448\"]\n  5 [size=\"74673493\", alpha=\"0.05\", expect_size=\"22402048\"] \n  5 -> 10 [size =\"22402048\"]\n  5 -> 11 [size =\"22402048\"]\n  6 [size=\"151193600\", alpha=\"0.11\", expect_size=\"45358080\"] \n  6 -> 11 [size =\"45358080\"]\n  6 -> 11 [size =\"45358080\"]\n  7 [size=\"163614720\", alpha=\"0.04\", expect_size=\"49084416\"] \n  7 -> 8 [size =\"49084416\"]\n  7 -> 9 [size =\"49084416\"]\n  8 [size=\"59118933\", alpha=\"0.17\", expect_size=\"17735680\"] \n  8 -> 12 [size =\"17735680\"]\n  8 -> 14 [size =\"17735680\"]\n  9 [size=\"87825067\", alpha=\"0.09\", expect_size=\"26347520\"] \n  9 -> 14 [size =\"26347520\"]\n  9 -> 15 [size =\"26347520\"]\n  10 [size=\"65327787\", alpha=\"0.17\", expect_size=\"19598336\"] \n  10 -> 12 [size =\"19598336\"]\n  10 -> 13 [size =\"19598336\"]\n  11 [size=\"94617600\", alpha=\"0.06\", expect_size=\"28385280\"] \n  11 -> 13 [size =\"28385280\"]\n  11 -> 15 [size =\"28385280\"]\n  12 [size=\"99474773\", alpha=\"0.18\", expect_size=\"29842432\"] \n  12 -> 17 [size =\"29842432\"]\n  12 -> 18 [size =\"29842432\"]\n  12 -> 19 [size =\"29842432\"]\n  13 [size=\"83490133\", alpha=\"0.04\", expect_size=\"25047040\"] \n  13 -> 17 [size =\"25047040\"]\n  13 -> 18 [size =\"25047040\"]\n  14 [size=\"20381013\", alpha=\"0.11\", expect_size=\"6114304\"] \n  14 -> 18 [size =\"6114304\"]\n  14 -> 19 [size =\"6114304\"]\n  15 [size=\"74513067\", alpha=\"0.20\", expect_size=\"22353920\"] \n  15 -> 16 [size =\"22353920\"]\n  15 -> 17 [size =\"22353920\"]\n  16 [size=\"113264640\", alpha=\"0.02\", expect_size=\"33979392\"] \n  16 -> 20 [size =\"33979392\"]\n  16 -> 21 [size =\"33979392\"]\n  17 [size=\"41605120\", alpha=\"0.03\", expect_size=\"12481536\"] \n  18 [size=\"71891627\", alpha=\"0.14\", expect_size=\"21567488\"] \n  18 -> 21 [size =\"21567488\"]\n  18 -> 22 [size =\"21567488\"]\n  19 [size=\"51964587\", alpha=\"0.20\", expect_size=\"15589376\"] \n  19 -> 20 [size =\"15589376\"]\n  19 -> 22 [size =\"15589376\"]\n  20 [size=\"120627200\", alpha=\"0.02\", expect_size=\"36188160\"] \n  20 -> 25 [size =\"36188160\"]\n  21 [size=\"100809387\", alpha=\"0.18\", expect_size=\"30242816\"] \n  21 -> 23 [size =\"30242816\"]\n  21 -> 24 [size =\"30242816\"]\n  22 [size=\"151579307\", alpha=\"0.16\", expect_size=\"45473792\"] \n  22 -> 23 [size =\"45473792\"]\n  23 [size=\"139659947\", alpha=\"0.15\", expect_size=\"41897984\"] \n  24 [size=\"171595093\", alpha=\"0.16\", expect_size=\"51478528\"] \n  25 [size=\"97252693\", alpha=\"0.04\", expect_size=\"29175808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28284928\", alpha=\"0.07\", expect_size=\"14142464\"] \n  1 -> 2 [size =\"14142464\"]\n  2 [size=\"81956864\", alpha=\"0.00\", expect_size=\"40978432\"] \n  2 -> 3 [size =\"40978432\"]\n  2 -> 4 [size =\"40978432\"]\n  3 [size=\"94439424\", alpha=\"0.12\", expect_size=\"47219712\"] \n  3 -> 5 [size =\"47219712\"]\n  4 [size=\"53137408\", alpha=\"0.12\", expect_size=\"26568704\"] \n  4 -> 5 [size =\"26568704\"]\n  5 [size=\"90836992\", alpha=\"0.05\", expect_size=\"45418496\"] \n  5 -> 6 [size =\"45418496\"]\n  6 [size=\"43405312\", alpha=\"0.13\", expect_size=\"21702656\"] \n  6 -> 7 [size =\"21702656\"]\n  7 [size=\"81948672\", alpha=\"0.14\", expect_size=\"40974336\"] \n  7 -> 8 [size =\"40974336\"]\n  8 [size=\"100851712\", alpha=\"0.03\", expect_size=\"50425856\"] \n  8 -> 9 [size =\"50425856\"]\n  8 -> 10 [size =\"50425856\"]\n  9 [size=\"25446400\", alpha=\"0.18\", expect_size=\"12723200\"] \n  9 -> 11 [size =\"12723200\"]\n  10 [size=\"74321920\", alpha=\"0.05\", expect_size=\"37160960\"] \n  10 -> 11 [size =\"37160960\"]\n  11 [size=\"48877568\", alpha=\"0.17\", expect_size=\"24438784\"] \n  11 -> 12 [size =\"24438784\"]\n  12 [size=\"82329600\", alpha=\"0.14\", expect_size=\"41164800\"] \n  12 -> 13 [size =\"41164800\"]\n  12 -> 14 [size =\"41164800\"]\n  13 [size=\"82614272\", alpha=\"0.14\", expect_size=\"41307136\"] \n  13 -> 15 [size =\"41307136\"]\n  14 [size=\"43233280\", alpha=\"0.17\", expect_size=\"21616640\"] \n  14 -> 15 [size =\"21616640\"]\n  15 [size=\"100245504\", alpha=\"0.02\", expect_size=\"50122752\"] \n  15 -> 16 [size =\"50122752\"]\n  16 [size=\"31557632\", alpha=\"0.10\", expect_size=\"15778816\"] \n  16 -> 17 [size =\"15778816\"]\n  17 [size=\"92964864\", alpha=\"0.15\", expect_size=\"46482432\"] \n  17 -> 18 [size =\"46482432\"]\n  17 -> 19 [size =\"46482432\"]\n  18 [size=\"65581056\", alpha=\"0.11\", expect_size=\"32790528\"] \n  18 -> 20 [size =\"32790528\"]\n  18 -> 21 [size =\"32790528\"]\n  19 [size=\"78264320\", alpha=\"0.11\", expect_size=\"39132160\"] \n  19 -> 21 [size =\"39132160\"]\n  20 [size=\"68419584\", alpha=\"0.00\", expect_size=\"34209792\"] \n  20 -> 22 [size =\"34209792\"]\n  21 [size=\"91807744\", alpha=\"0.13\", expect_size=\"45903872\"] \n  21 -> 22 [size =\"45903872\"]\n  22 [size=\"78571520\", alpha=\"0.01\", expect_size=\"39285760\"] \n  22 -> 23 [size =\"39285760\"]\n  23 [size=\"51724288\", alpha=\"0.07\", expect_size=\"25862144\"] \n  23 -> 24 [size =\"25862144\"]\n  23 -> 25 [size =\"25862144\"]\n  24 [size=\"21460992\", alpha=\"0.02\", expect_size=\"10730496\"] \n  25 [size=\"101939200\", alpha=\"0.14\", expect_size=\"50969600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44326912\", alpha=\"0.20\", expect_size=\"22163456\"] \n  1 -> 2 [size =\"22163456\"]\n  2 [size=\"71813120\", alpha=\"0.17\", expect_size=\"35906560\"] \n  2 -> 3 [size =\"35906560\"]\n  3 [size=\"83052544\", alpha=\"0.02\", expect_size=\"41526272\"] \n  3 -> 4 [size =\"41526272\"]\n  4 [size=\"49172480\", alpha=\"0.09\", expect_size=\"24586240\"] \n  4 -> 5 [size =\"24586240\"]\n  5 [size=\"14675968\", alpha=\"0.12\", expect_size=\"7337984\"] \n  5 -> 6 [size =\"7337984\"]\n  6 [size=\"50001920\", alpha=\"0.17\", expect_size=\"25000960\"] \n  6 -> 7 [size =\"25000960\"]\n  7 [size=\"50855936\", alpha=\"0.12\", expect_size=\"25427968\"] \n  7 -> 8 [size =\"25427968\"]\n  8 [size=\"45522944\", alpha=\"0.20\", expect_size=\"22761472\"] \n  8 -> 9 [size =\"22761472\"]\n  9 [size=\"57241600\", alpha=\"0.15\", expect_size=\"28620800\"] \n  9 -> 10 [size =\"28620800\"]\n  10 [size=\"54544384\", alpha=\"0.07\", expect_size=\"27272192\"] \n  10 -> 11 [size =\"27272192\"]\n  11 [size=\"51894272\", alpha=\"0.15\", expect_size=\"25947136\"] \n  11 -> 12 [size =\"25947136\"]\n  12 [size=\"50456576\", alpha=\"0.11\", expect_size=\"25228288\"] \n  12 -> 13 [size =\"25228288\"]\n  13 [size=\"36175872\", alpha=\"0.15\", expect_size=\"18087936\"] \n  13 -> 14 [size =\"18087936\"]\n  14 [size=\"47833088\", alpha=\"0.00\", expect_size=\"23916544\"] \n  14 -> 15 [size =\"23916544\"]\n  15 [size=\"89868288\", alpha=\"0.04\", expect_size=\"44934144\"] \n  15 -> 16 [size =\"44934144\"]\n  16 [size=\"53766144\", alpha=\"0.19\", expect_size=\"26883072\"] \n  16 -> 17 [size =\"26883072\"]\n  17 [size=\"41306112\", alpha=\"0.19\", expect_size=\"20653056\"] \n  17 -> 18 [size =\"20653056\"]\n  18 [size=\"99342336\", alpha=\"0.07\", expect_size=\"49671168\"] \n  18 -> 19 [size =\"49671168\"]\n  19 [size=\"99203072\", alpha=\"0.05\", expect_size=\"49601536\"] \n  19 -> 20 [size =\"49601536\"]\n  20 [size=\"76421120\", alpha=\"0.06\", expect_size=\"38210560\"] \n  20 -> 21 [size =\"38210560\"]\n  21 [size=\"16089088\", alpha=\"0.15\", expect_size=\"8044544\"] \n  21 -> 22 [size =\"8044544\"]\n  22 [size=\"86775808\", alpha=\"0.16\", expect_size=\"43387904\"] \n  22 -> 23 [size =\"43387904\"]\n  23 [size=\"44902400\", alpha=\"0.13\", expect_size=\"22451200\"] \n  23 -> 24 [size =\"22451200\"]\n  24 [size=\"21995520\", alpha=\"0.18\", expect_size=\"10997760\"] \n  24 -> 25 [size =\"10997760\"]\n  25 [size=\"23140352\", alpha=\"0.04\", expect_size=\"11570176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46504960\", alpha=\"0.05\", expect_size=\"18601984\"] \n  1 -> 12 [size =\"18601984\"]\n  1 -> 13 [size =\"18601984\"]\n  1 -> 17 [size =\"18601984\"]\n  2 [size=\"55413760\", alpha=\"0.16\", expect_size=\"22165504\"] \n  2 -> 13 [size =\"22165504\"]\n  2 -> 14 [size =\"22165504\"]\n  3 [size=\"18547200\", alpha=\"0.02\", expect_size=\"7418880\"] \n  3 -> 10 [size =\"7418880\"]\n  3 -> 11 [size =\"7418880\"]\n  3 -> 16 [size =\"7418880\"]\n  4 [size=\"109186560\", alpha=\"0.15\", expect_size=\"43674624\"] \n  4 -> 9 [size =\"43674624\"]\n  4 -> 11 [size =\"43674624\"]\n  5 [size=\"56284160\", alpha=\"0.08\", expect_size=\"22513664\"] \n  5 -> 13 [size =\"22513664\"]\n  5 -> 14 [size =\"22513664\"]\n  5 -> 15 [size =\"22513664\"]\n  5 -> 17 [size =\"22513664\"]\n  6 [size=\"73797120\", alpha=\"0.08\", expect_size=\"29518848\"] \n  6 -> 9 [size =\"29518848\"]\n  6 -> 13 [size =\"29518848\"]\n  7 [size=\"82053120\", alpha=\"0.07\", expect_size=\"32821248\"] \n  7 -> 9 [size =\"32821248\"]\n  7 -> 10 [size =\"32821248\"]\n  7 -> 11 [size =\"32821248\"]\n  7 -> 14 [size =\"32821248\"]\n  7 -> 17 [size =\"32821248\"]\n  8 [size=\"64611840\", alpha=\"0.16\", expect_size=\"25844736\"] \n  8 -> 9 [size =\"25844736\"]\n  8 -> 11 [size =\"25844736\"]\n  8 -> 14 [size =\"25844736\"]\n  8 -> 15 [size =\"25844736\"]\n  9 [size=\"58209280\", alpha=\"0.19\", expect_size=\"23283712\"] \n  9 -> 20 [size =\"23283712\"]\n  9 -> 23 [size =\"23283712\"]\n  9 -> 25 [size =\"23283712\"]\n  10 [size=\"82542080\", alpha=\"0.13\", expect_size=\"33016832\"] \n  10 -> 20 [size =\"33016832\"]\n  10 -> 21 [size =\"33016832\"]\n  11 [size=\"68595200\", alpha=\"0.02\", expect_size=\"27438080\"] \n  11 -> 21 [size =\"27438080\"]\n  11 -> 24 [size =\"27438080\"]\n  12 [size=\"99921920\", alpha=\"0.02\", expect_size=\"39968768\"] \n  12 -> 21 [size =\"39968768\"]\n  12 -> 23 [size =\"39968768\"]\n  13 [size=\"74631680\", alpha=\"0.14\", expect_size=\"29852672\"] \n  13 -> 20 [size =\"29852672\"]\n  13 -> 23 [size =\"29852672\"]\n  13 -> 24 [size =\"29852672\"]\n  14 [size=\"83781120\", alpha=\"0.02\", expect_size=\"33512448\"] \n  14 -> 20 [size =\"33512448\"]\n  14 -> 25 [size =\"33512448\"]\n  15 [size=\"52444160\", alpha=\"0.16\", expect_size=\"20977664\"] \n  15 -> 22 [size =\"20977664\"]\n  15 -> 25 [size =\"20977664\"]\n  16 [size=\"101667840\", alpha=\"0.13\", expect_size=\"40667136\"] \n  16 -> 18 [size =\"40667136\"]\n  16 -> 19 [size =\"40667136\"]\n  16 -> 23 [size =\"40667136\"]\n  16 -> 25 [size =\"40667136\"]\n  17 [size=\"32220160\", alpha=\"0.05\", expect_size=\"12888064\"] \n  17 -> 23 [size =\"12888064\"]\n  17 -> 25 [size =\"12888064\"]\n  18 [size=\"73789440\", alpha=\"0.02\", expect_size=\"29515776\"] \n  19 [size=\"52303360\", alpha=\"0.18\", expect_size=\"20921344\"] \n  20 [size=\"46077440\", alpha=\"0.02\", expect_size=\"18430976\"] \n  21 [size=\"125096960\", alpha=\"0.12\", expect_size=\"50038784\"] \n  22 [size=\"18352640\", alpha=\"0.08\", expect_size=\"7341056\"] \n  23 [size=\"29859840\", alpha=\"0.05\", expect_size=\"11943936\"] \n  24 [size=\"114705920\", alpha=\"0.19\", expect_size=\"45882368\"] \n  25 [size=\"126361600\", alpha=\"0.00\", expect_size=\"50544640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60197547\", alpha=\"0.05\", expect_size=\"18059264\"] \n  1 -> 2 [size =\"18059264\"]\n  2 [size=\"98396160\", alpha=\"0.16\", expect_size=\"29518848\"] \n  2 -> 3 [size =\"29518848\"]\n  3 [size=\"27757227\", alpha=\"0.06\", expect_size=\"8327168\"] \n  3 -> 4 [size =\"8327168\"]\n  4 [size=\"93706240\", alpha=\"0.20\", expect_size=\"28111872\"] \n  4 -> 5 [size =\"28111872\"]\n  5 [size=\"105649493\", alpha=\"0.08\", expect_size=\"31694848\"] \n  5 -> 6 [size =\"31694848\"]\n  6 [size=\"138656427\", alpha=\"0.16\", expect_size=\"41596928\"] \n  6 -> 7 [size =\"41596928\"]\n  7 [size=\"77397333\", alpha=\"0.20\", expect_size=\"23219200\"] \n  7 -> 8 [size =\"23219200\"]\n  8 [size=\"42410667\", alpha=\"0.09\", expect_size=\"12723200\"] \n  8 -> 9 [size =\"12723200\"]\n  9 [size=\"25415680\", alpha=\"0.10\", expect_size=\"7624704\"] \n  9 -> 10 [size =\"7624704\"]\n  10 [size=\"132761600\", alpha=\"0.11\", expect_size=\"39828480\"] \n  10 -> 11 [size =\"39828480\"]\n  11 [size=\"114449067\", alpha=\"0.16\", expect_size=\"34334720\"] \n  11 -> 12 [size =\"34334720\"]\n  12 [size=\"155190613\", alpha=\"0.17\", expect_size=\"46557184\"] \n  12 -> 13 [size =\"46557184\"]\n  13 [size=\"124344320\", alpha=\"0.09\", expect_size=\"37303296\"] \n  13 -> 14 [size =\"37303296\"]\n  14 [size=\"169629013\", alpha=\"0.07\", expect_size=\"50888704\"] \n  14 -> 15 [size =\"50888704\"]\n  15 [size=\"168308053\", alpha=\"0.07\", expect_size=\"50492416\"] \n  15 -> 16 [size =\"50492416\"]\n  16 [size=\"71420587\", alpha=\"0.19\", expect_size=\"21426176\"] \n  16 -> 17 [size =\"21426176\"]\n  17 [size=\"36877653\", alpha=\"0.11\", expect_size=\"11063296\"] \n  17 -> 18 [size =\"11063296\"]\n  18 [size=\"35621547\", alpha=\"0.14\", expect_size=\"10686464\"] \n  18 -> 19 [size =\"10686464\"]\n  19 [size=\"103369387\", alpha=\"0.01\", expect_size=\"31010816\"] \n  19 -> 20 [size =\"31010816\"]\n  20 [size=\"21302613\", alpha=\"0.17\", expect_size=\"6390784\"] \n  20 -> 21 [size =\"6390784\"]\n  21 [size=\"109800107\", alpha=\"0.19\", expect_size=\"32940032\"] \n  21 -> 22 [size =\"32940032\"]\n  22 [size=\"76404053\", alpha=\"0.10\", expect_size=\"22921216\"] \n  22 -> 23 [size =\"22921216\"]\n  23 [size=\"52445867\", alpha=\"0.04\", expect_size=\"15733760\"] \n  23 -> 24 [size =\"15733760\"]\n  24 [size=\"123740160\", alpha=\"0.06\", expect_size=\"37122048\"] \n  24 -> 25 [size =\"37122048\"]\n  25 [size=\"21244587\", alpha=\"0.01\", expect_size=\"6373376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102272000\", alpha=\"0.12\", expect_size=\"40908800\"] \n  1 -> 4 [size =\"40908800\"]\n  2 [size=\"27107840\", alpha=\"0.16\", expect_size=\"10843136\"] \n  2 -> 3 [size =\"10843136\"]\n  2 -> 4 [size =\"10843136\"]\n  3 [size=\"115491840\", alpha=\"0.01\", expect_size=\"46196736\"] \n  3 -> 5 [size =\"46196736\"]\n  4 [size=\"49694720\", alpha=\"0.02\", expect_size=\"19877888\"] \n  4 -> 5 [size =\"19877888\"]\n  5 [size=\"37237760\", alpha=\"0.08\", expect_size=\"14895104\"] \n  5 -> 6 [size =\"14895104\"]\n  6 [size=\"110504960\", alpha=\"0.11\", expect_size=\"44201984\"] \n  6 -> 7 [size =\"44201984\"]\n  6 -> 8 [size =\"44201984\"]\n  7 [size=\"124152320\", alpha=\"0.00\", expect_size=\"49660928\"] \n  7 -> 9 [size =\"49660928\"]\n  8 [size=\"93253120\", alpha=\"0.02\", expect_size=\"37301248\"] \n  8 -> 9 [size =\"37301248\"]\n  9 [size=\"52843520\", alpha=\"0.19\", expect_size=\"21137408\"] \n  9 -> 10 [size =\"21137408\"]\n  9 -> 11 [size =\"21137408\"]\n  10 [size=\"105692160\", alpha=\"0.11\", expect_size=\"42276864\"] \n  10 -> 12 [size =\"42276864\"]\n  11 [size=\"59036160\", alpha=\"0.06\", expect_size=\"23614464\"] \n  11 -> 12 [size =\"23614464\"]\n  11 -> 13 [size =\"23614464\"]\n  12 [size=\"127505920\", alpha=\"0.00\", expect_size=\"51002368\"] \n  12 -> 14 [size =\"51002368\"]\n  13 [size=\"100984320\", alpha=\"0.05\", expect_size=\"40393728\"] \n  13 -> 14 [size =\"40393728\"]\n  14 [size=\"107758080\", alpha=\"0.10\", expect_size=\"43103232\"] \n  14 -> 15 [size =\"43103232\"]\n  14 -> 16 [size =\"43103232\"]\n  15 [size=\"120801280\", alpha=\"0.17\", expect_size=\"48320512\"] \n  15 -> 17 [size =\"48320512\"]\n  15 -> 18 [size =\"48320512\"]\n  16 [size=\"50124800\", alpha=\"0.01\", expect_size=\"20049920\"] \n  16 -> 17 [size =\"20049920\"]\n  17 [size=\"117393920\", alpha=\"0.04\", expect_size=\"46957568\"] \n  17 -> 19 [size =\"46957568\"]\n  17 -> 20 [size =\"46957568\"]\n  18 [size=\"120135680\", alpha=\"0.04\", expect_size=\"48054272\"] \n  18 -> 19 [size =\"48054272\"]\n  18 -> 20 [size =\"48054272\"]\n  19 [size=\"16424960\", alpha=\"0.01\", expect_size=\"6569984\"] \n  20 [size=\"130982400\", alpha=\"0.03\", expect_size=\"52392960\"] \n  20 -> 21 [size =\"52392960\"]\n  21 [size=\"76951040\", alpha=\"0.20\", expect_size=\"30780416\"] \n  21 -> 22 [size =\"30780416\"]\n  22 [size=\"113648640\", alpha=\"0.19\", expect_size=\"45459456\"] \n  22 -> 23 [size =\"45459456\"]\n  22 -> 24 [size =\"45459456\"]\n  23 [size=\"114424320\", alpha=\"0.15\", expect_size=\"45769728\"] \n  23 -> 25 [size =\"45769728\"]\n  24 [size=\"26872320\", alpha=\"0.18\", expect_size=\"10748928\"] \n  24 -> 25 [size =\"10748928\"]\n  25 [size=\"84326400\", alpha=\"0.05\", expect_size=\"33730560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16066560\", alpha=\"0.13\", expect_size=\"8033280\"] \n  1 -> 13 [size =\"8033280\"]\n  1 -> 14 [size =\"8033280\"]\n  1 -> 15 [size =\"8033280\"]\n  1 -> 18 [size =\"8033280\"]\n  1 -> 19 [size =\"8033280\"]\n  1 -> 21 [size =\"8033280\"]\n  2 [size=\"38576128\", alpha=\"0.00\", expect_size=\"19288064\"] \n  2 -> 15 [size =\"19288064\"]\n  2 -> 16 [size =\"19288064\"]\n  2 -> 18 [size =\"19288064\"]\n  2 -> 18 [size =\"19288064\"]\n  2 -> 19 [size =\"19288064\"]\n  2 -> 20 [size =\"19288064\"]\n  2 -> 21 [size =\"19288064\"]\n  3 [size=\"93433856\", alpha=\"0.04\", expect_size=\"46716928\"] \n  3 -> 12 [size =\"46716928\"]\n  3 -> 13 [size =\"46716928\"]\n  3 -> 15 [size =\"46716928\"]\n  3 -> 17 [size =\"46716928\"]\n  3 -> 18 [size =\"46716928\"]\n  3 -> 19 [size =\"46716928\"]\n  3 -> 21 [size =\"46716928\"]\n  4 [size=\"49461248\", alpha=\"0.04\", expect_size=\"24730624\"] \n  4 -> 12 [size =\"24730624\"]\n  4 -> 13 [size =\"24730624\"]\n  4 -> 14 [size =\"24730624\"]\n  4 -> 15 [size =\"24730624\"]\n  4 -> 16 [size =\"24730624\"]\n  4 -> 18 [size =\"24730624\"]\n  4 -> 19 [size =\"24730624\"]\n  4 -> 20 [size =\"24730624\"]\n  4 -> 21 [size =\"24730624\"]\n  4 -> 23 [size =\"24730624\"]\n  5 [size=\"29059072\", alpha=\"0.19\", expect_size=\"14529536\"] \n  5 -> 12 [size =\"14529536\"]\n  5 -> 14 [size =\"14529536\"]\n  5 -> 15 [size =\"14529536\"]\n  5 -> 15 [size =\"14529536\"]\n  5 -> 16 [size =\"14529536\"]\n  5 -> 18 [size =\"14529536\"]\n  5 -> 19 [size =\"14529536\"]\n  5 -> 20 [size =\"14529536\"]\n  5 -> 21 [size =\"14529536\"]\n  5 -> 23 [size =\"14529536\"]\n  6 [size=\"36775936\", alpha=\"0.14\", expect_size=\"18387968\"] \n  6 -> 13 [size =\"18387968\"]\n  6 -> 14 [size =\"18387968\"]\n  6 -> 15 [size =\"18387968\"]\n  6 -> 18 [size =\"18387968\"]\n  6 -> 19 [size =\"18387968\"]\n  6 -> 20 [size =\"18387968\"]\n  7 [size=\"37980160\", alpha=\"0.16\", expect_size=\"18990080\"] \n  7 -> 13 [size =\"18990080\"]\n  7 -> 14 [size =\"18990080\"]\n  7 -> 16 [size =\"18990080\"]\n  7 -> 17 [size =\"18990080\"]\n  7 -> 18 [size =\"18990080\"]\n  7 -> 19 [size =\"18990080\"]\n  7 -> 21 [size =\"18990080\"]\n  7 -> 23 [size =\"18990080\"]\n  8 [size=\"90075136\", alpha=\"0.03\", expect_size=\"45037568\"] \n  8 -> 13 [size =\"45037568\"]\n  8 -> 14 [size =\"45037568\"]\n  8 -> 15 [size =\"45037568\"]\n  8 -> 16 [size =\"45037568\"]\n  8 -> 18 [size =\"45037568\"]\n  8 -> 20 [size =\"45037568\"]\n  9 [size=\"71897088\", alpha=\"0.04\", expect_size=\"35948544\"] \n  9 -> 13 [size =\"35948544\"]\n  9 -> 14 [size =\"35948544\"]\n  9 -> 20 [size =\"35948544\"]\n  9 -> 21 [size =\"35948544\"]\n  9 -> 22 [size =\"35948544\"]\n  10 [size=\"13948928\", alpha=\"0.01\", expect_size=\"6974464\"] \n  10 -> 12 [size =\"6974464\"]\n  10 -> 13 [size =\"6974464\"]\n  10 -> 14 [size =\"6974464\"]\n  10 -> 15 [size =\"6974464\"]\n  10 -> 16 [size =\"6974464\"]\n  10 -> 17 [size =\"6974464\"]\n  10 -> 19 [size =\"6974464\"]\n  10 -> 20 [size =\"6974464\"]\n  10 -> 23 [size =\"6974464\"]\n  11 [size=\"69558272\", alpha=\"0.14\", expect_size=\"34779136\"] \n  11 -> 12 [size =\"34779136\"]\n  11 -> 14 [size =\"34779136\"]\n  11 -> 14 [size =\"34779136\"]\n  11 -> 15 [size =\"34779136\"]\n  11 -> 17 [size =\"34779136\"]\n  11 -> 18 [size =\"34779136\"]\n  11 -> 20 [size =\"34779136\"]\n  11 -> 20 [size =\"34779136\"]\n  11 -> 21 [size =\"34779136\"]\n  12 [size=\"36065280\", alpha=\"0.18\", expect_size=\"18032640\"] \n  12 -> 24 [size =\"18032640\"]\n  13 [size=\"36341760\", alpha=\"0.11\", expect_size=\"18170880\"] \n  13 -> 24 [size =\"18170880\"]\n  13 -> 25 [size =\"18170880\"]\n  14 [size=\"57055232\", alpha=\"0.12\", expect_size=\"28527616\"] \n  14 -> 24 [size =\"28527616\"]\n  15 [size=\"75343872\", alpha=\"0.01\", expect_size=\"37671936\"] \n  15 -> 24 [size =\"37671936\"]\n  15 -> 25 [size =\"37671936\"]\n  16 [size=\"72110080\", alpha=\"0.01\", expect_size=\"36055040\"] \n  16 -> 24 [size =\"36055040\"]\n  16 -> 25 [size =\"36055040\"]\n  17 [size=\"42864640\", alpha=\"0.08\", expect_size=\"21432320\"] \n  17 -> 24 [size =\"21432320\"]\n  18 [size=\"26232832\", alpha=\"0.03\", expect_size=\"13116416\"] \n  18 -> 24 [size =\"13116416\"]\n  19 [size=\"39516160\", alpha=\"0.17\", expect_size=\"19758080\"] \n  19 -> 24 [size =\"19758080\"]\n  19 -> 25 [size =\"19758080\"]\n  20 [size=\"56754176\", alpha=\"0.06\", expect_size=\"28377088\"] \n  20 -> 24 [size =\"28377088\"]\n  20 -> 25 [size =\"28377088\"]\n  21 [size=\"61759488\", alpha=\"0.16\", expect_size=\"30879744\"] \n  21 -> 24 [size =\"30879744\"]\n  22 [size=\"34285568\", alpha=\"0.13\", expect_size=\"17142784\"] \n  22 -> 24 [size =\"17142784\"]\n  23 [size=\"23408640\", alpha=\"0.07\", expect_size=\"11704320\"] \n  23 -> 25 [size =\"11704320\"]\n  24 [size=\"74020864\", alpha=\"0.09\", expect_size=\"37010432\"] \n  25 [size=\"37541888\", alpha=\"0.15\", expect_size=\"18770944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75579392\", alpha=\"0.14\", expect_size=\"37789696\"] \n  2 [size=\"11997184\", alpha=\"0.00\", expect_size=\"5998592\"] \n  3 [size=\"81893376\", alpha=\"0.01\", expect_size=\"40946688\"] \n  4 [size=\"72740864\", alpha=\"0.14\", expect_size=\"36370432\"] \n  5 [size=\"26337280\", alpha=\"0.12\", expect_size=\"13168640\"] \n  6 [size=\"36839424\", alpha=\"0.13\", expect_size=\"18419712\"] \n  7 [size=\"85057536\", alpha=\"0.18\", expect_size=\"42528768\"] \n  8 [size=\"82776064\", alpha=\"0.06\", expect_size=\"41388032\"] \n  9 [size=\"25585664\", alpha=\"0.10\", expect_size=\"12792832\"] \n  10 [size=\"43581440\", alpha=\"0.05\", expect_size=\"21790720\"] \n  11 [size=\"41531392\", alpha=\"0.18\", expect_size=\"20765696\"] \n  12 [size=\"12503040\", alpha=\"0.20\", expect_size=\"6251520\"] \n  13 [size=\"13561856\", alpha=\"0.02\", expect_size=\"6780928\"] \n  14 [size=\"17149952\", alpha=\"0.12\", expect_size=\"8574976\"] \n  15 [size=\"83503104\", alpha=\"0.16\", expect_size=\"41751552\"] \n  16 [size=\"45836288\", alpha=\"0.05\", expect_size=\"22918144\"] \n  17 [size=\"12482560\", alpha=\"0.11\", expect_size=\"6241280\"] \n  18 [size=\"95289344\", alpha=\"0.02\", expect_size=\"47644672\"] \n  19 [size=\"26914816\", alpha=\"0.13\", expect_size=\"13457408\"] \n  20 [size=\"74938368\", alpha=\"0.08\", expect_size=\"37469184\"] \n  21 [size=\"96542720\", alpha=\"0.17\", expect_size=\"48271360\"] \n  22 [size=\"88528896\", alpha=\"0.07\", expect_size=\"44264448\"] \n  23 [size=\"87752704\", alpha=\"0.12\", expect_size=\"43876352\"] \n  24 [size=\"96598016\", alpha=\"0.09\", expect_size=\"48299008\"] \n  25 [size=\"61001728\", alpha=\"0.11\", expect_size=\"30500864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78678016\", alpha=\"0.14\", expect_size=\"39339008\"] \n  1 -> 5 [size =\"39339008\"]\n  1 -> 6 [size =\"39339008\"]\n  2 [size=\"92053504\", alpha=\"0.16\", expect_size=\"46026752\"] \n  2 -> 6 [size =\"46026752\"]\n  3 [size=\"25292800\", alpha=\"0.13\", expect_size=\"12646400\"] \n  3 -> 4 [size =\"12646400\"]\n  4 [size=\"59451392\", alpha=\"0.03\", expect_size=\"29725696\"] \n  4 -> 8 [size =\"29725696\"]\n  5 [size=\"102481920\", alpha=\"0.04\", expect_size=\"51240960\"] \n  5 -> 7 [size =\"51240960\"]\n  5 -> 8 [size =\"51240960\"]\n  5 -> 9 [size =\"51240960\"]\n  6 [size=\"39043072\", alpha=\"0.13\", expect_size=\"19521536\"] \n  7 [size=\"102313984\", alpha=\"0.11\", expect_size=\"51156992\"] \n  7 -> 11 [size =\"51156992\"]\n  8 [size=\"51060736\", alpha=\"0.15\", expect_size=\"25530368\"] \n  8 -> 10 [size =\"25530368\"]\n  8 -> 12 [size =\"25530368\"]\n  9 [size=\"53049344\", alpha=\"0.02\", expect_size=\"26524672\"] \n  9 -> 11 [size =\"26524672\"]\n  9 -> 12 [size =\"26524672\"]\n  10 [size=\"42676224\", alpha=\"0.07\", expect_size=\"21338112\"] \n  10 -> 13 [size =\"21338112\"]\n  10 -> 14 [size =\"21338112\"]\n  10 -> 15 [size =\"21338112\"]\n  10 -> 16 [size =\"21338112\"]\n  11 [size=\"28874752\", alpha=\"0.01\", expect_size=\"14437376\"] \n  11 -> 13 [size =\"14437376\"]\n  11 -> 15 [size =\"14437376\"]\n  11 -> 16 [size =\"14437376\"]\n  12 [size=\"93691904\", alpha=\"0.01\", expect_size=\"46845952\"] \n  12 -> 13 [size =\"46845952\"]\n  12 -> 14 [size =\"46845952\"]\n  12 -> 15 [size =\"46845952\"]\n  12 -> 16 [size =\"46845952\"]\n  13 [size=\"73041920\", alpha=\"0.02\", expect_size=\"36520960\"] \n  13 -> 19 [size =\"36520960\"]\n  14 [size=\"40376320\", alpha=\"0.03\", expect_size=\"20188160\"] \n  15 [size=\"52396032\", alpha=\"0.13\", expect_size=\"26198016\"] \n  15 -> 18 [size =\"26198016\"]\n  16 [size=\"70107136\", alpha=\"0.18\", expect_size=\"35053568\"] \n  16 -> 17 [size =\"35053568\"]\n  16 -> 18 [size =\"35053568\"]\n  16 -> 19 [size =\"35053568\"]\n  17 [size=\"35919872\", alpha=\"0.17\", expect_size=\"17959936\"] \n  17 -> 20 [size =\"17959936\"]\n  17 -> 21 [size =\"17959936\"]\n  17 -> 22 [size =\"17959936\"]\n  18 [size=\"88635392\", alpha=\"0.17\", expect_size=\"44317696\"] \n  18 -> 21 [size =\"44317696\"]\n  18 -> 22 [size =\"44317696\"]\n  19 [size=\"65806336\", alpha=\"0.02\", expect_size=\"32903168\"] \n  19 -> 21 [size =\"32903168\"]\n  20 [size=\"74885120\", alpha=\"0.09\", expect_size=\"37442560\"] \n  20 -> 24 [size =\"37442560\"]\n  21 [size=\"12238848\", alpha=\"0.10\", expect_size=\"6119424\"] \n  21 -> 23 [size =\"6119424\"]\n  21 -> 25 [size =\"6119424\"]\n  22 [size=\"17121280\", alpha=\"0.08\", expect_size=\"8560640\"] \n  22 -> 23 [size =\"8560640\"]\n  22 -> 24 [size =\"8560640\"]\n  23 [size=\"23488512\", alpha=\"0.09\", expect_size=\"11744256\"] \n  24 [size=\"32915456\", alpha=\"0.01\", expect_size=\"16457728\"] \n  25 [size=\"46878720\", alpha=\"0.12\", expect_size=\"23439360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31723520\", alpha=\"0.06\", expect_size=\"9517056\"] \n  1 -> 2 [size =\"9517056\"]\n  2 [size=\"54623573\", alpha=\"0.04\", expect_size=\"16387072\"] \n  2 -> 3 [size =\"16387072\"]\n  3 [size=\"41110187\", alpha=\"0.02\", expect_size=\"12333056\"] \n  3 -> 4 [size =\"12333056\"]\n  4 [size=\"115913387\", alpha=\"0.12\", expect_size=\"34774016\"] \n  4 -> 5 [size =\"34774016\"]\n  5 [size=\"109414400\", alpha=\"0.18\", expect_size=\"32824320\"] \n  5 -> 6 [size =\"32824320\"]\n  6 [size=\"169314987\", alpha=\"0.02\", expect_size=\"50794496\"] \n  6 -> 7 [size =\"50794496\"]\n  7 [size=\"61337600\", alpha=\"0.05\", expect_size=\"18401280\"] \n  7 -> 8 [size =\"18401280\"]\n  8 [size=\"52821333\", alpha=\"0.06\", expect_size=\"15846400\"] \n  8 -> 9 [size =\"15846400\"]\n  9 [size=\"120091307\", alpha=\"0.08\", expect_size=\"36027392\"] \n  9 -> 10 [size =\"36027392\"]\n  10 [size=\"136581120\", alpha=\"0.19\", expect_size=\"40974336\"] \n  10 -> 11 [size =\"40974336\"]\n  11 [size=\"169137493\", alpha=\"0.07\", expect_size=\"50741248\"] \n  11 -> 12 [size =\"50741248\"]\n  12 [size=\"60197547\", alpha=\"0.08\", expect_size=\"18059264\"] \n  12 -> 13 [size =\"18059264\"]\n  13 [size=\"93784747\", alpha=\"0.06\", expect_size=\"28135424\"] \n  13 -> 14 [size =\"28135424\"]\n  14 [size=\"111902720\", alpha=\"0.09\", expect_size=\"33570816\"] \n  14 -> 15 [size =\"33570816\"]\n  15 [size=\"46025387\", alpha=\"0.11\", expect_size=\"13807616\"] \n  15 -> 16 [size =\"13807616\"]\n  16 [size=\"32256000\", alpha=\"0.07\", expect_size=\"9676800\"] \n  16 -> 17 [size =\"9676800\"]\n  17 [size=\"47677440\", alpha=\"0.11\", expect_size=\"14303232\"] \n  17 -> 18 [size =\"14303232\"]\n  18 [size=\"84712107\", alpha=\"0.15\", expect_size=\"25413632\"] \n  18 -> 19 [size =\"25413632\"]\n  19 [size=\"128744107\", alpha=\"0.08\", expect_size=\"38623232\"] \n  19 -> 20 [size =\"38623232\"]\n  20 [size=\"33792000\", alpha=\"0.12\", expect_size=\"10137600\"] \n  20 -> 21 [size =\"10137600\"]\n  21 [size=\"23988907\", alpha=\"0.19\", expect_size=\"7196672\"] \n  21 -> 22 [size =\"7196672\"]\n  22 [size=\"75335680\", alpha=\"0.10\", expect_size=\"22600704\"] \n  22 -> 23 [size =\"22600704\"]\n  23 [size=\"135069013\", alpha=\"0.05\", expect_size=\"40520704\"] \n  23 -> 24 [size =\"40520704\"]\n  24 [size=\"21780480\", alpha=\"0.11\", expect_size=\"6534144\"] \n  24 -> 25 [size =\"6534144\"]\n  25 [size=\"90521600\", alpha=\"0.10\", expect_size=\"27156480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86896640\", alpha=\"0.14\", expect_size=\"34758656\"] \n  1 -> 13 [size =\"34758656\"]\n  1 -> 14 [size =\"34758656\"]\n  1 -> 16 [size =\"34758656\"]\n  2 [size=\"75996160\", alpha=\"0.11\", expect_size=\"30398464\"] \n  3 [size=\"39526400\", alpha=\"0.02\", expect_size=\"15810560\"] \n  4 [size=\"70620160\", alpha=\"0.07\", expect_size=\"28248064\"] \n  4 -> 12 [size =\"28248064\"]\n  4 -> 13 [size =\"28248064\"]\n  5 [size=\"116864000\", alpha=\"0.06\", expect_size=\"46745600\"] \n  5 -> 12 [size =\"46745600\"]\n  6 [size=\"45432320\", alpha=\"0.04\", expect_size=\"18172928\"] \n  6 -> 12 [size =\"18172928\"]\n  6 -> 13 [size =\"18172928\"]\n  6 -> 14 [size =\"18172928\"]\n  6 -> 16 [size =\"18172928\"]\n  7 [size=\"130864640\", alpha=\"0.13\", expect_size=\"52345856\"] \n  7 -> 12 [size =\"52345856\"]\n  7 -> 16 [size =\"52345856\"]\n  8 [size=\"78489600\", alpha=\"0.04\", expect_size=\"31395840\"] \n  9 [size=\"63582720\", alpha=\"0.09\", expect_size=\"25433088\"] \n  9 -> 15 [size =\"25433088\"]\n  9 -> 16 [size =\"25433088\"]\n  10 [size=\"20259840\", alpha=\"0.09\", expect_size=\"8103936\"] \n  10 -> 11 [size =\"8103936\"]\n  10 -> 12 [size =\"8103936\"]\n  11 [size=\"93173760\", alpha=\"0.07\", expect_size=\"37269504\"] \n  11 -> 20 [size =\"37269504\"]\n  12 [size=\"55831040\", alpha=\"0.16\", expect_size=\"22332416\"] \n  12 -> 20 [size =\"22332416\"]\n  13 [size=\"121111040\", alpha=\"0.16\", expect_size=\"48444416\"] \n  14 [size=\"17285120\", alpha=\"0.19\", expect_size=\"6914048\"] \n  15 [size=\"60861440\", alpha=\"0.10\", expect_size=\"24344576\"] \n  15 -> 17 [size =\"24344576\"]\n  15 -> 18 [size =\"24344576\"]\n  15 -> 19 [size =\"24344576\"]\n  15 -> 20 [size =\"24344576\"]\n  16 [size=\"98506240\", alpha=\"0.15\", expect_size=\"39402496\"] \n  16 -> 17 [size =\"39402496\"]\n  16 -> 18 [size =\"39402496\"]\n  17 [size=\"124336640\", alpha=\"0.01\", expect_size=\"49734656\"] \n  17 -> 21 [size =\"49734656\"]\n  17 -> 22 [size =\"49734656\"]\n  17 -> 23 [size =\"49734656\"]\n  18 [size=\"85708800\", alpha=\"0.07\", expect_size=\"34283520\"] \n  18 -> 21 [size =\"34283520\"]\n  18 -> 23 [size =\"34283520\"]\n  19 [size=\"109939200\", alpha=\"0.01\", expect_size=\"43975680\"] \n  19 -> 24 [size =\"43975680\"]\n  20 [size=\"45440000\", alpha=\"0.18\", expect_size=\"18176000\"] \n  20 -> 21 [size =\"18176000\"]\n  20 -> 25 [size =\"18176000\"]\n  21 [size=\"99776000\", alpha=\"0.08\", expect_size=\"39910400\"] \n  22 [size=\"25300480\", alpha=\"0.08\", expect_size=\"10120192\"] \n  23 [size=\"120990720\", alpha=\"0.12\", expect_size=\"48396288\"] \n  24 [size=\"99842560\", alpha=\"0.07\", expect_size=\"39937024\"] \n  25 [size=\"92915200\", alpha=\"0.19\", expect_size=\"37166080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81772544\", alpha=\"0.17\", expect_size=\"40886272\"] \n  1 -> 9 [size =\"40886272\"]\n  1 -> 10 [size =\"40886272\"]\n  1 -> 13 [size =\"40886272\"]\n  1 -> 14 [size =\"40886272\"]\n  1 -> 17 [size =\"40886272\"]\n  1 -> 19 [size =\"40886272\"]\n  2 [size=\"95590400\", alpha=\"0.01\", expect_size=\"47795200\"] \n  2 -> 10 [size =\"47795200\"]\n  2 -> 11 [size =\"47795200\"]\n  2 -> 14 [size =\"47795200\"]\n  2 -> 15 [size =\"47795200\"]\n  2 -> 16 [size =\"47795200\"]\n  2 -> 18 [size =\"47795200\"]\n  3 [size=\"78256128\", alpha=\"0.07\", expect_size=\"39128064\"] \n  3 -> 10 [size =\"39128064\"]\n  3 -> 11 [size =\"39128064\"]\n  3 -> 12 [size =\"39128064\"]\n  3 -> 13 [size =\"39128064\"]\n  3 -> 16 [size =\"39128064\"]\n  3 -> 17 [size =\"39128064\"]\n  3 -> 18 [size =\"39128064\"]\n  4 [size=\"96993280\", alpha=\"0.12\", expect_size=\"48496640\"] \n  4 -> 10 [size =\"48496640\"]\n  4 -> 11 [size =\"48496640\"]\n  4 -> 12 [size =\"48496640\"]\n  4 -> 17 [size =\"48496640\"]\n  4 -> 18 [size =\"48496640\"]\n  4 -> 19 [size =\"48496640\"]\n  5 [size=\"84232192\", alpha=\"0.02\", expect_size=\"42116096\"] \n  5 -> 12 [size =\"42116096\"]\n  5 -> 16 [size =\"42116096\"]\n  5 -> 17 [size =\"42116096\"]\n  5 -> 18 [size =\"42116096\"]\n  5 -> 19 [size =\"42116096\"]\n  6 [size=\"76228608\", alpha=\"0.18\", expect_size=\"38114304\"] \n  6 -> 9 [size =\"38114304\"]\n  6 -> 15 [size =\"38114304\"]\n  7 [size=\"87529472\", alpha=\"0.00\", expect_size=\"43764736\"] \n  7 -> 9 [size =\"43764736\"]\n  7 -> 11 [size =\"43764736\"]\n  7 -> 12 [size =\"43764736\"]\n  7 -> 15 [size =\"43764736\"]\n  7 -> 16 [size =\"43764736\"]\n  8 [size=\"68818944\", alpha=\"0.04\", expect_size=\"34409472\"] \n  8 -> 9 [size =\"34409472\"]\n  8 -> 11 [size =\"34409472\"]\n  8 -> 12 [size =\"34409472\"]\n  8 -> 16 [size =\"34409472\"]\n  9 [size=\"65185792\", alpha=\"0.16\", expect_size=\"32592896\"] \n  9 -> 20 [size =\"32592896\"]\n  9 -> 21 [size =\"32592896\"]\n  9 -> 22 [size =\"32592896\"]\n  10 [size=\"26028032\", alpha=\"0.16\", expect_size=\"13014016\"] \n  10 -> 23 [size =\"13014016\"]\n  10 -> 24 [size =\"13014016\"]\n  11 [size=\"83408896\", alpha=\"0.05\", expect_size=\"41704448\"] \n  11 -> 20 [size =\"41704448\"]\n  11 -> 24 [size =\"41704448\"]\n  12 [size=\"68700160\", alpha=\"0.18\", expect_size=\"34350080\"] \n  12 -> 20 [size =\"34350080\"]\n  12 -> 23 [size =\"34350080\"]\n  13 [size=\"73132032\", alpha=\"0.03\", expect_size=\"36566016\"] \n  13 -> 23 [size =\"36566016\"]\n  14 [size=\"103860224\", alpha=\"0.04\", expect_size=\"51930112\"] \n  14 -> 23 [size =\"51930112\"]\n  15 [size=\"65615872\", alpha=\"0.19\", expect_size=\"32807936\"] \n  15 -> 20 [size =\"32807936\"]\n  15 -> 22 [size =\"32807936\"]\n  16 [size=\"74178560\", alpha=\"0.01\", expect_size=\"37089280\"] \n  16 -> 20 [size =\"37089280\"]\n  16 -> 21 [size =\"37089280\"]\n  17 [size=\"64086016\", alpha=\"0.09\", expect_size=\"32043008\"] \n  17 -> 24 [size =\"32043008\"]\n  18 [size=\"65116160\", alpha=\"0.09\", expect_size=\"32558080\"] \n  18 -> 21 [size =\"32558080\"]\n  19 [size=\"84977664\", alpha=\"0.11\", expect_size=\"42488832\"] \n  19 -> 21 [size =\"42488832\"]\n  19 -> 24 [size =\"42488832\"]\n  19 -> 25 [size =\"42488832\"]\n  20 [size=\"65032192\", alpha=\"0.20\", expect_size=\"32516096\"] \n  21 [size=\"44707840\", alpha=\"0.04\", expect_size=\"22353920\"] \n  22 [size=\"70653952\", alpha=\"0.06\", expect_size=\"35326976\"] \n  23 [size=\"60684288\", alpha=\"0.03\", expect_size=\"30342144\"] \n  24 [size=\"73234432\", alpha=\"0.17\", expect_size=\"36617216\"] \n  25 [size=\"93915136\", alpha=\"0.08\", expect_size=\"46957568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115284480\", alpha=\"0.03\", expect_size=\"46113792\"] \n  1 -> 8 [size =\"46113792\"]\n  1 -> 9 [size =\"46113792\"]\n  1 -> 10 [size =\"46113792\"]\n  1 -> 12 [size =\"46113792\"]\n  1 -> 14 [size =\"46113792\"]\n  2 [size=\"97884160\", alpha=\"0.18\", expect_size=\"39153664\"] \n  2 -> 7 [size =\"39153664\"]\n  2 -> 8 [size =\"39153664\"]\n  2 -> 9 [size =\"39153664\"]\n  2 -> 10 [size =\"39153664\"]\n  3 [size=\"44764160\", alpha=\"0.15\", expect_size=\"17905664\"] \n  3 -> 7 [size =\"17905664\"]\n  3 -> 8 [size =\"17905664\"]\n  3 -> 9 [size =\"17905664\"]\n  3 -> 13 [size =\"17905664\"]\n  4 [size=\"95974400\", alpha=\"0.04\", expect_size=\"38389760\"] \n  4 -> 7 [size =\"38389760\"]\n  4 -> 9 [size =\"38389760\"]\n  4 -> 12 [size =\"38389760\"]\n  5 [size=\"26726400\", alpha=\"0.02\", expect_size=\"10690560\"] \n  5 -> 7 [size =\"10690560\"]\n  5 -> 9 [size =\"10690560\"]\n  5 -> 10 [size =\"10690560\"]\n  5 -> 12 [size =\"10690560\"]\n  5 -> 13 [size =\"10690560\"]\n  5 -> 14 [size =\"10690560\"]\n  6 [size=\"64158720\", alpha=\"0.09\", expect_size=\"25663488\"] \n  6 -> 9 [size =\"25663488\"]\n  6 -> 10 [size =\"25663488\"]\n  6 -> 11 [size =\"25663488\"]\n  6 -> 12 [size =\"25663488\"]\n  6 -> 13 [size =\"25663488\"]\n  6 -> 14 [size =\"25663488\"]\n  7 [size=\"110215680\", alpha=\"0.02\", expect_size=\"44086272\"] \n  7 -> 15 [size =\"44086272\"]\n  7 -> 19 [size =\"44086272\"]\n  8 [size=\"70661120\", alpha=\"0.00\", expect_size=\"28264448\"] \n  8 -> 15 [size =\"28264448\"]\n  8 -> 16 [size =\"28264448\"]\n  8 -> 18 [size =\"28264448\"]\n  8 -> 19 [size =\"28264448\"]\n  8 -> 21 [size =\"28264448\"]\n  9 [size=\"109562880\", alpha=\"0.19\", expect_size=\"43825152\"] \n  9 -> 16 [size =\"43825152\"]\n  9 -> 16 [size =\"43825152\"]\n  9 -> 17 [size =\"43825152\"]\n  9 -> 18 [size =\"43825152\"]\n  10 [size=\"117818880\", alpha=\"0.03\", expect_size=\"47127552\"] \n  10 -> 15 [size =\"47127552\"]\n  10 -> 16 [size =\"47127552\"]\n  10 -> 18 [size =\"47127552\"]\n  10 -> 19 [size =\"47127552\"]\n  10 -> 20 [size =\"47127552\"]\n  10 -> 21 [size =\"47127552\"]\n  11 [size=\"106373120\", alpha=\"0.19\", expect_size=\"42549248\"] \n  11 -> 16 [size =\"42549248\"]\n  11 -> 17 [size =\"42549248\"]\n  11 -> 18 [size =\"42549248\"]\n  11 -> 19 [size =\"42549248\"]\n  11 -> 20 [size =\"42549248\"]\n  11 -> 21 [size =\"42549248\"]\n  12 [size=\"122037760\", alpha=\"0.03\", expect_size=\"48815104\"] \n  12 -> 15 [size =\"48815104\"]\n  12 -> 17 [size =\"48815104\"]\n  12 -> 18 [size =\"48815104\"]\n  12 -> 19 [size =\"48815104\"]\n  12 -> 20 [size =\"48815104\"]\n  12 -> 21 [size =\"48815104\"]\n  13 [size=\"110044160\", alpha=\"0.06\", expect_size=\"44017664\"] \n  13 -> 16 [size =\"44017664\"]\n  13 -> 17 [size =\"44017664\"]\n  13 -> 18 [size =\"44017664\"]\n  13 -> 19 [size =\"44017664\"]\n  13 -> 21 [size =\"44017664\"]\n  14 [size=\"78494720\", alpha=\"0.18\", expect_size=\"31397888\"] \n  14 -> 18 [size =\"31397888\"]\n  14 -> 19 [size =\"31397888\"]\n  14 -> 21 [size =\"31397888\"]\n  15 [size=\"104071680\", alpha=\"0.10\", expect_size=\"41628672\"] \n  15 -> 23 [size =\"41628672\"]\n  15 -> 25 [size =\"41628672\"]\n  16 [size=\"116185600\", alpha=\"0.02\", expect_size=\"46474240\"] \n  16 -> 22 [size =\"46474240\"]\n  16 -> 23 [size =\"46474240\"]\n  16 -> 25 [size =\"46474240\"]\n  17 [size=\"51151360\", alpha=\"0.17\", expect_size=\"20460544\"] \n  17 -> 24 [size =\"20460544\"]\n  17 -> 25 [size =\"20460544\"]\n  17 -> 25 [size =\"20460544\"]\n  18 [size=\"63682560\", alpha=\"0.01\", expect_size=\"25473024\"] \n  18 -> 24 [size =\"25473024\"]\n  19 [size=\"64340480\", alpha=\"0.10\", expect_size=\"25736192\"] \n  19 -> 23 [size =\"25736192\"]\n  19 -> 25 [size =\"25736192\"]\n  20 [size=\"57128960\", alpha=\"0.05\", expect_size=\"22851584\"] \n  20 -> 22 [size =\"22851584\"]\n  20 -> 23 [size =\"22851584\"]\n  20 -> 24 [size =\"22851584\"]\n  20 -> 25 [size =\"22851584\"]\n  21 [size=\"76088320\", alpha=\"0.18\", expect_size=\"30435328\"] \n  21 -> 23 [size =\"30435328\"]\n  21 -> 23 [size =\"30435328\"]\n  21 -> 24 [size =\"30435328\"]\n  21 -> 25 [size =\"30435328\"]\n  22 [size=\"70970880\", alpha=\"0.06\", expect_size=\"28388352\"] \n  23 [size=\"85908480\", alpha=\"0.18\", expect_size=\"34363392\"] \n  24 [size=\"120153600\", alpha=\"0.05\", expect_size=\"48061440\"] \n  25 [size=\"106608640\", alpha=\"0.14\", expect_size=\"42643456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50735104\", alpha=\"0.08\", expect_size=\"25367552\"] \n  1 -> 2 [size =\"25367552\"]\n  2 [size=\"55699456\", alpha=\"0.13\", expect_size=\"27849728\"] \n  2 -> 3 [size =\"27849728\"]\n  3 [size=\"35172352\", alpha=\"0.10\", expect_size=\"17586176\"] \n  3 -> 4 [size =\"17586176\"]\n  4 [size=\"85966848\", alpha=\"0.14\", expect_size=\"42983424\"] \n  4 -> 5 [size =\"42983424\"]\n  5 [size=\"24541184\", alpha=\"0.10\", expect_size=\"12270592\"] \n  5 -> 6 [size =\"12270592\"]\n  6 [size=\"77488128\", alpha=\"0.19\", expect_size=\"38744064\"] \n  6 -> 7 [size =\"38744064\"]\n  7 [size=\"80076800\", alpha=\"0.11\", expect_size=\"40038400\"] \n  7 -> 8 [size =\"40038400\"]\n  8 [size=\"92078080\", alpha=\"0.14\", expect_size=\"46039040\"] \n  8 -> 9 [size =\"46039040\"]\n  9 [size=\"42893312\", alpha=\"0.18\", expect_size=\"21446656\"] \n  9 -> 10 [size =\"21446656\"]\n  10 [size=\"47159296\", alpha=\"0.18\", expect_size=\"23579648\"] \n  10 -> 11 [size =\"23579648\"]\n  11 [size=\"52019200\", alpha=\"0.19\", expect_size=\"26009600\"] \n  11 -> 12 [size =\"26009600\"]\n  12 [size=\"87906304\", alpha=\"0.10\", expect_size=\"43953152\"] \n  12 -> 13 [size =\"43953152\"]\n  13 [size=\"55037952\", alpha=\"0.05\", expect_size=\"27518976\"] \n  13 -> 14 [size =\"27518976\"]\n  14 [size=\"99895296\", alpha=\"0.03\", expect_size=\"49947648\"] \n  14 -> 15 [size =\"49947648\"]\n  15 [size=\"72390656\", alpha=\"0.08\", expect_size=\"36195328\"] \n  15 -> 16 [size =\"36195328\"]\n  16 [size=\"23721984\", alpha=\"0.19\", expect_size=\"11860992\"] \n  16 -> 17 [size =\"11860992\"]\n  17 [size=\"20457472\", alpha=\"0.15\", expect_size=\"10228736\"] \n  17 -> 18 [size =\"10228736\"]\n  18 [size=\"71012352\", alpha=\"0.01\", expect_size=\"35506176\"] \n  18 -> 19 [size =\"35506176\"]\n  19 [size=\"42127360\", alpha=\"0.11\", expect_size=\"21063680\"] \n  19 -> 20 [size =\"21063680\"]\n  20 [size=\"31586304\", alpha=\"0.16\", expect_size=\"15793152\"] \n  20 -> 21 [size =\"15793152\"]\n  21 [size=\"21878784\", alpha=\"0.09\", expect_size=\"10939392\"] \n  21 -> 22 [size =\"10939392\"]\n  22 [size=\"18268160\", alpha=\"0.12\", expect_size=\"9134080\"] \n  22 -> 23 [size =\"9134080\"]\n  23 [size=\"67586048\", alpha=\"0.00\", expect_size=\"33793024\"] \n  23 -> 24 [size =\"33793024\"]\n  24 [size=\"89628672\", alpha=\"0.04\", expect_size=\"44814336\"] \n  24 -> 25 [size =\"44814336\"]\n  25 [size=\"11585536\", alpha=\"0.11\", expect_size=\"5792768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74885120\", alpha=\"0.01\", expect_size=\"37442560\"] \n  1 -> 3 [size =\"37442560\"]\n  1 -> 4 [size =\"37442560\"]\n  2 [size=\"89204736\", alpha=\"0.12\", expect_size=\"44602368\"] \n  2 -> 3 [size =\"44602368\"]\n  2 -> 4 [size =\"44602368\"]\n  3 [size=\"80830464\", alpha=\"0.18\", expect_size=\"40415232\"] \n  4 [size=\"102752256\", alpha=\"0.13\", expect_size=\"51376128\"] \n  4 -> 5 [size =\"51376128\"]\n  4 -> 6 [size =\"51376128\"]\n  5 [size=\"74770432\", alpha=\"0.13\", expect_size=\"37385216\"] \n  5 -> 7 [size =\"37385216\"]\n  6 [size=\"72433664\", alpha=\"0.07\", expect_size=\"36216832\"] \n  6 -> 7 [size =\"36216832\"]\n  6 -> 8 [size =\"36216832\"]\n  7 [size=\"81422336\", alpha=\"0.08\", expect_size=\"40711168\"] \n  8 [size=\"71067648\", alpha=\"0.13\", expect_size=\"35533824\"] \n  8 -> 9 [size =\"35533824\"]\n  9 [size=\"51822592\", alpha=\"0.19\", expect_size=\"25911296\"] \n  9 -> 10 [size =\"25911296\"]\n  10 [size=\"42139648\", alpha=\"0.20\", expect_size=\"21069824\"] \n  10 -> 11 [size =\"21069824\"]\n  11 [size=\"25843712\", alpha=\"0.07\", expect_size=\"12921856\"] \n  11 -> 12 [size =\"12921856\"]\n  11 -> 13 [size =\"12921856\"]\n  12 [size=\"31764480\", alpha=\"0.00\", expect_size=\"15882240\"] \n  12 -> 14 [size =\"15882240\"]\n  13 [size=\"89686016\", alpha=\"0.00\", expect_size=\"44843008\"] \n  13 -> 14 [size =\"44843008\"]\n  14 [size=\"78401536\", alpha=\"0.15\", expect_size=\"39200768\"] \n  14 -> 15 [size =\"39200768\"]\n  15 [size=\"46155776\", alpha=\"0.13\", expect_size=\"23077888\"] \n  15 -> 16 [size =\"23077888\"]\n  15 -> 17 [size =\"23077888\"]\n  16 [size=\"13699072\", alpha=\"0.09\", expect_size=\"6849536\"] \n  16 -> 18 [size =\"6849536\"]\n  17 [size=\"45086720\", alpha=\"0.08\", expect_size=\"22543360\"] \n  18 [size=\"82968576\", alpha=\"0.15\", expect_size=\"41484288\"] \n  18 -> 19 [size =\"41484288\"]\n  19 [size=\"47941632\", alpha=\"0.09\", expect_size=\"23970816\"] \n  19 -> 20 [size =\"23970816\"]\n  19 -> 21 [size =\"23970816\"]\n  20 [size=\"43722752\", alpha=\"0.03\", expect_size=\"21861376\"] \n  20 -> 22 [size =\"21861376\"]\n  21 [size=\"43466752\", alpha=\"0.10\", expect_size=\"21733376\"] \n  21 -> 22 [size =\"21733376\"]\n  22 [size=\"77180928\", alpha=\"0.15\", expect_size=\"38590464\"] \n  22 -> 23 [size =\"38590464\"]\n  23 [size=\"77608960\", alpha=\"0.14\", expect_size=\"38804480\"] \n  23 -> 24 [size =\"38804480\"]\n  23 -> 25 [size =\"38804480\"]\n  24 [size=\"78321664\", alpha=\"0.13\", expect_size=\"39160832\"] \n  25 [size=\"56576000\", alpha=\"0.06\", expect_size=\"28288000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70919680\", alpha=\"0.08\", expect_size=\"28367872\"] \n  1 -> 7 [size =\"28367872\"]\n  1 -> 9 [size =\"28367872\"]\n  2 [size=\"51642880\", alpha=\"0.13\", expect_size=\"20657152\"] \n  2 -> 5 [size =\"20657152\"]\n  2 -> 6 [size =\"20657152\"]\n  2 -> 7 [size =\"20657152\"]\n  2 -> 8 [size =\"20657152\"]\n  3 [size=\"73840640\", alpha=\"0.09\", expect_size=\"29536256\"] \n  3 -> 5 [size =\"29536256\"]\n  3 -> 6 [size =\"29536256\"]\n  3 -> 8 [size =\"29536256\"]\n  3 -> 8 [size =\"29536256\"]\n  3 -> 9 [size =\"29536256\"]\n  4 [size=\"37539840\", alpha=\"0.15\", expect_size=\"15015936\"] \n  4 -> 6 [size =\"15015936\"]\n  4 -> 7 [size =\"15015936\"]\n  4 -> 8 [size =\"15015936\"]\n  4 -> 9 [size =\"15015936\"]\n  5 [size=\"120000000\", alpha=\"0.15\", expect_size=\"48000000\"] \n  5 -> 10 [size =\"48000000\"]\n  5 -> 11 [size =\"48000000\"]\n  5 -> 12 [size =\"48000000\"]\n  5 -> 13 [size =\"48000000\"]\n  6 [size=\"18150400\", alpha=\"0.10\", expect_size=\"7260160\"] \n  6 -> 13 [size =\"7260160\"]\n  7 [size=\"56366080\", alpha=\"0.14\", expect_size=\"22546432\"] \n  7 -> 10 [size =\"22546432\"]\n  7 -> 11 [size =\"22546432\"]\n  7 -> 13 [size =\"22546432\"]\n  8 [size=\"57464320\", alpha=\"0.03\", expect_size=\"22985728\"] \n  8 -> 10 [size =\"22985728\"]\n  8 -> 13 [size =\"22985728\"]\n  9 [size=\"24463360\", alpha=\"0.13\", expect_size=\"9785344\"] \n  9 -> 11 [size =\"9785344\"]\n  9 -> 13 [size =\"9785344\"]\n  10 [size=\"121605120\", alpha=\"0.16\", expect_size=\"48642048\"] \n  10 -> 14 [size =\"48642048\"]\n  10 -> 15 [size =\"48642048\"]\n  10 -> 17 [size =\"48642048\"]\n  10 -> 18 [size =\"48642048\"]\n  11 [size=\"38871040\", alpha=\"0.06\", expect_size=\"15548416\"] \n  11 -> 14 [size =\"15548416\"]\n  11 -> 15 [size =\"15548416\"]\n  11 -> 16 [size =\"15548416\"]\n  11 -> 17 [size =\"15548416\"]\n  12 [size=\"86760960\", alpha=\"0.09\", expect_size=\"34704384\"] \n  12 -> 14 [size =\"34704384\"]\n  12 -> 15 [size =\"34704384\"]\n  12 -> 17 [size =\"34704384\"]\n  13 [size=\"44267520\", alpha=\"0.19\", expect_size=\"17707008\"] \n  13 -> 15 [size =\"17707008\"]\n  13 -> 16 [size =\"17707008\"]\n  14 [size=\"100165120\", alpha=\"0.14\", expect_size=\"40066048\"] \n  14 -> 20 [size =\"40066048\"]\n  15 [size=\"72000000\", alpha=\"0.04\", expect_size=\"28800000\"] \n  15 -> 20 [size =\"28800000\"]\n  15 -> 21 [size =\"28800000\"]\n  16 [size=\"45258240\", alpha=\"0.14\", expect_size=\"18103296\"] \n  16 -> 19 [size =\"18103296\"]\n  16 -> 21 [size =\"18103296\"]\n  17 [size=\"102231040\", alpha=\"0.03\", expect_size=\"40892416\"] \n  17 -> 19 [size =\"40892416\"]\n  17 -> 20 [size =\"40892416\"]\n  18 [size=\"64199680\", alpha=\"0.09\", expect_size=\"25679872\"] \n  18 -> 20 [size =\"25679872\"]\n  19 [size=\"79997440\", alpha=\"0.12\", expect_size=\"31998976\"] \n  19 -> 22 [size =\"31998976\"]\n  20 [size=\"41226240\", alpha=\"0.05\", expect_size=\"16490496\"] \n  20 -> 22 [size =\"16490496\"]\n  21 [size=\"16688640\", alpha=\"0.07\", expect_size=\"6675456\"] \n  21 -> 22 [size =\"6675456\"]\n  21 -> 23 [size =\"6675456\"]\n  22 [size=\"51463680\", alpha=\"0.16\", expect_size=\"20585472\"] \n  22 -> 24 [size =\"20585472\"]\n  22 -> 25 [size =\"20585472\"]\n  23 [size=\"102187520\", alpha=\"0.15\", expect_size=\"40875008\"] \n  23 -> 24 [size =\"40875008\"]\n  23 -> 25 [size =\"40875008\"]\n  24 [size=\"99212800\", alpha=\"0.18\", expect_size=\"39685120\"] \n  25 [size=\"63861760\", alpha=\"0.19\", expect_size=\"25544704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126648320\", alpha=\"0.00\", expect_size=\"37994496\"] \n  1 -> 7 [size =\"37994496\"]\n  1 -> 8 [size =\"37994496\"]\n  2 [size=\"103775573\", alpha=\"0.14\", expect_size=\"31132672\"] \n  2 -> 5 [size =\"31132672\"]\n  3 [size=\"161047893\", alpha=\"0.14\", expect_size=\"48314368\"] \n  3 -> 5 [size =\"48314368\"]\n  3 -> 6 [size =\"48314368\"]\n  4 [size=\"171581440\", alpha=\"0.07\", expect_size=\"51474432\"] \n  4 -> 6 [size =\"51474432\"]\n  5 [size=\"79373653\", alpha=\"0.20\", expect_size=\"23812096\"] \n  5 -> 9 [size =\"23812096\"]\n  6 [size=\"64884053\", alpha=\"0.13\", expect_size=\"19465216\"] \n  7 [size=\"108195840\", alpha=\"0.13\", expect_size=\"32458752\"] \n  8 [size=\"41649493\", alpha=\"0.06\", expect_size=\"12494848\"] \n  8 -> 10 [size =\"12494848\"]\n  8 -> 11 [size =\"12494848\"]\n  9 [size=\"159662080\", alpha=\"0.08\", expect_size=\"47898624\"] \n  10 [size=\"79455573\", alpha=\"0.12\", expect_size=\"23836672\"] \n  10 -> 12 [size =\"23836672\"]\n  10 -> 14 [size =\"23836672\"]\n  11 [size=\"140496213\", alpha=\"0.19\", expect_size=\"42148864\"] \n  11 -> 13 [size =\"42148864\"]\n  11 -> 14 [size =\"42148864\"]\n  12 [size=\"143209813\", alpha=\"0.05\", expect_size=\"42962944\"] \n  12 -> 17 [size =\"42962944\"]\n  13 [size=\"95320747\", alpha=\"0.09\", expect_size=\"28596224\"] \n  14 [size=\"46404267\", alpha=\"0.10\", expect_size=\"13921280\"] \n  14 -> 15 [size =\"13921280\"]\n  14 -> 16 [size =\"13921280\"]\n  15 [size=\"97549653\", alpha=\"0.09\", expect_size=\"29264896\"] \n  15 -> 19 [size =\"29264896\"]\n  16 [size=\"94303573\", alpha=\"0.01\", expect_size=\"28291072\"] \n  16 -> 20 [size =\"28291072\"]\n  17 [size=\"38010880\", alpha=\"0.02\", expect_size=\"11403264\"] \n  17 -> 18 [size =\"11403264\"]\n  17 -> 19 [size =\"11403264\"]\n  17 -> 20 [size =\"11403264\"]\n  18 [size=\"136396800\", alpha=\"0.20\", expect_size=\"40919040\"] \n  18 -> 21 [size =\"40919040\"]\n  18 -> 23 [size =\"40919040\"]\n  19 [size=\"22616747\", alpha=\"0.06\", expect_size=\"6785024\"] \n  19 -> 21 [size =\"6785024\"]\n  19 -> 22 [size =\"6785024\"]\n  20 [size=\"88081067\", alpha=\"0.18\", expect_size=\"26424320\"] \n  20 -> 23 [size =\"26424320\"]\n  21 [size=\"22685013\", alpha=\"0.05\", expect_size=\"6805504\"] \n  21 -> 24 [size =\"6805504\"]\n  22 [size=\"172264107\", alpha=\"0.02\", expect_size=\"51679232\"] \n  22 -> 25 [size =\"51679232\"]\n  23 [size=\"56125440\", alpha=\"0.18\", expect_size=\"16837632\"] \n  23 -> 25 [size =\"16837632\"]\n  24 [size=\"127907840\", alpha=\"0.13\", expect_size=\"38372352\"] \n  25 [size=\"52206933\", alpha=\"0.16\", expect_size=\"15662080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35690496\", alpha=\"0.18\", expect_size=\"17845248\"] \n  1 -> 11 [size =\"17845248\"]\n  1 -> 14 [size =\"17845248\"]\n  1 -> 17 [size =\"17845248\"]\n  1 -> 19 [size =\"17845248\"]\n  2 [size=\"55169024\", alpha=\"0.04\", expect_size=\"27584512\"] \n  2 -> 14 [size =\"27584512\"]\n  2 -> 18 [size =\"27584512\"]\n  2 -> 19 [size =\"27584512\"]\n  3 [size=\"42833920\", alpha=\"0.04\", expect_size=\"21416960\"] \n  3 -> 12 [size =\"21416960\"]\n  3 -> 14 [size =\"21416960\"]\n  3 -> 15 [size =\"21416960\"]\n  3 -> 16 [size =\"21416960\"]\n  3 -> 18 [size =\"21416960\"]\n  3 -> 19 [size =\"21416960\"]\n  3 -> 20 [size =\"21416960\"]\n  4 [size=\"35938304\", alpha=\"0.11\", expect_size=\"17969152\"] \n  4 -> 13 [size =\"17969152\"]\n  4 -> 19 [size =\"17969152\"]\n  4 -> 20 [size =\"17969152\"]\n  5 [size=\"62058496\", alpha=\"0.06\", expect_size=\"31029248\"] \n  5 -> 12 [size =\"31029248\"]\n  5 -> 14 [size =\"31029248\"]\n  5 -> 16 [size =\"31029248\"]\n  5 -> 18 [size =\"31029248\"]\n  5 -> 19 [size =\"31029248\"]\n  5 -> 20 [size =\"31029248\"]\n  6 [size=\"57104384\", alpha=\"0.17\", expect_size=\"28552192\"] \n  6 -> 15 [size =\"28552192\"]\n  6 -> 16 [size =\"28552192\"]\n  7 [size=\"49733632\", alpha=\"0.00\", expect_size=\"24866816\"] \n  7 -> 11 [size =\"24866816\"]\n  7 -> 16 [size =\"24866816\"]\n  7 -> 18 [size =\"24866816\"]\n  8 [size=\"15669248\", alpha=\"0.04\", expect_size=\"7834624\"] \n  8 -> 11 [size =\"7834624\"]\n  8 -> 13 [size =\"7834624\"]\n  8 -> 14 [size =\"7834624\"]\n  8 -> 16 [size =\"7834624\"]\n  8 -> 17 [size =\"7834624\"]\n  8 -> 18 [size =\"7834624\"]\n  9 [size=\"14917632\", alpha=\"0.01\", expect_size=\"7458816\"] \n  9 -> 11 [size =\"7458816\"]\n  9 -> 12 [size =\"7458816\"]\n  9 -> 13 [size =\"7458816\"]\n  9 -> 14 [size =\"7458816\"]\n  9 -> 16 [size =\"7458816\"]\n  9 -> 18 [size =\"7458816\"]\n  9 -> 19 [size =\"7458816\"]\n  9 -> 20 [size =\"7458816\"]\n  10 [size=\"75284480\", alpha=\"0.14\", expect_size=\"37642240\"] \n  10 -> 11 [size =\"37642240\"]\n  10 -> 14 [size =\"37642240\"]\n  10 -> 16 [size =\"37642240\"]\n  10 -> 19 [size =\"37642240\"]\n  10 -> 20 [size =\"37642240\"]\n  11 [size=\"54937600\", alpha=\"0.10\", expect_size=\"27468800\"] \n  11 -> 22 [size =\"27468800\"]\n  11 -> 23 [size =\"27468800\"]\n  11 -> 24 [size =\"27468800\"]\n  12 [size=\"46075904\", alpha=\"0.10\", expect_size=\"23037952\"] \n  12 -> 21 [size =\"23037952\"]\n  13 [size=\"67039232\", alpha=\"0.18\", expect_size=\"33519616\"] \n  13 -> 23 [size =\"33519616\"]\n  13 -> 24 [size =\"33519616\"]\n  14 [size=\"84969472\", alpha=\"0.04\", expect_size=\"42484736\"] \n  14 -> 22 [size =\"42484736\"]\n  14 -> 24 [size =\"42484736\"]\n  15 [size=\"44666880\", alpha=\"0.07\", expect_size=\"22333440\"] \n  15 -> 24 [size =\"22333440\"]\n  15 -> 24 [size =\"22333440\"]\n  16 [size=\"74862592\", alpha=\"0.17\", expect_size=\"37431296\"] \n  16 -> 23 [size =\"37431296\"]\n  16 -> 24 [size =\"37431296\"]\n  16 -> 25 [size =\"37431296\"]\n  17 [size=\"62273536\", alpha=\"0.03\", expect_size=\"31136768\"] \n  17 -> 22 [size =\"31136768\"]\n  17 -> 23 [size =\"31136768\"]\n  17 -> 25 [size =\"31136768\"]\n  18 [size=\"64610304\", alpha=\"0.19\", expect_size=\"32305152\"] \n  18 -> 22 [size =\"32305152\"]\n  19 [size=\"82155520\", alpha=\"0.18\", expect_size=\"41077760\"] \n  19 -> 22 [size =\"41077760\"]\n  19 -> 24 [size =\"41077760\"]\n  20 [size=\"85112832\", alpha=\"0.13\", expect_size=\"42556416\"] \n  21 [size=\"58628096\", alpha=\"0.14\", expect_size=\"29314048\"] \n  22 [size=\"12070912\", alpha=\"0.05\", expect_size=\"6035456\"] \n  23 [size=\"58619904\", alpha=\"0.02\", expect_size=\"29309952\"] \n  24 [size=\"49362944\", alpha=\"0.05\", expect_size=\"24681472\"] \n  25 [size=\"70541312\", alpha=\"0.18\", expect_size=\"35270656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78579712\", alpha=\"0.07\", expect_size=\"39289856\"] \n  1 -> 3 [size =\"39289856\"]\n  2 [size=\"51828736\", alpha=\"0.09\", expect_size=\"25914368\"] \n  3 [size=\"87171072\", alpha=\"0.11\", expect_size=\"43585536\"] \n  3 -> 4 [size =\"43585536\"]\n  4 [size=\"61958144\", alpha=\"0.07\", expect_size=\"30979072\"] \n  4 -> 5 [size =\"30979072\"]\n  4 -> 6 [size =\"30979072\"]\n  5 [size=\"55676928\", alpha=\"0.10\", expect_size=\"27838464\"] \n  5 -> 7 [size =\"27838464\"]\n  6 [size=\"51853312\", alpha=\"0.01\", expect_size=\"25926656\"] \n  6 -> 7 [size =\"25926656\"]\n  7 [size=\"53338112\", alpha=\"0.03\", expect_size=\"26669056\"] \n  7 -> 8 [size =\"26669056\"]\n  7 -> 9 [size =\"26669056\"]\n  8 [size=\"59897856\", alpha=\"0.02\", expect_size=\"29948928\"] \n  8 -> 10 [size =\"29948928\"]\n  9 [size=\"53825536\", alpha=\"0.03\", expect_size=\"26912768\"] \n  9 -> 10 [size =\"26912768\"]\n  10 [size=\"90185728\", alpha=\"0.08\", expect_size=\"45092864\"] \n  10 -> 11 [size =\"45092864\"]\n  11 [size=\"56092672\", alpha=\"0.01\", expect_size=\"28046336\"] \n  11 -> 12 [size =\"28046336\"]\n  12 [size=\"91156480\", alpha=\"0.16\", expect_size=\"45578240\"] \n  12 -> 13 [size =\"45578240\"]\n  13 [size=\"37414912\", alpha=\"0.12\", expect_size=\"18707456\"] \n  13 -> 14 [size =\"18707456\"]\n  14 [size=\"89825280\", alpha=\"0.11\", expect_size=\"44912640\"] \n  14 -> 15 [size =\"44912640\"]\n  14 -> 16 [size =\"44912640\"]\n  15 [size=\"28565504\", alpha=\"0.13\", expect_size=\"14282752\"] \n  15 -> 17 [size =\"14282752\"]\n  16 [size=\"74946560\", alpha=\"0.02\", expect_size=\"37473280\"] \n  16 -> 17 [size =\"37473280\"]\n  16 -> 18 [size =\"37473280\"]\n  17 [size=\"79796224\", alpha=\"0.12\", expect_size=\"39898112\"] \n  17 -> 19 [size =\"39898112\"]\n  18 [size=\"95131648\", alpha=\"0.09\", expect_size=\"47565824\"] \n  18 -> 19 [size =\"47565824\"]\n  19 [size=\"11933696\", alpha=\"0.08\", expect_size=\"5966848\"] \n  19 -> 20 [size =\"5966848\"]\n  20 [size=\"25423872\", alpha=\"0.19\", expect_size=\"12711936\"] \n  20 -> 21 [size =\"12711936\"]\n  21 [size=\"62504960\", alpha=\"0.04\", expect_size=\"31252480\"] \n  21 -> 22 [size =\"31252480\"]\n  21 -> 23 [size =\"31252480\"]\n  22 [size=\"65286144\", alpha=\"0.17\", expect_size=\"32643072\"] \n  23 [size=\"44077056\", alpha=\"0.07\", expect_size=\"22038528\"] \n  23 -> 24 [size =\"22038528\"]\n  24 [size=\"101773312\", alpha=\"0.08\", expect_size=\"50886656\"] \n  24 -> 25 [size =\"50886656\"]\n  25 [size=\"61321216\", alpha=\"0.18\", expect_size=\"30660608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84879360\", alpha=\"0.00\", expect_size=\"33951744\"] \n  1 -> 13 [size =\"33951744\"]\n  1 -> 18 [size =\"33951744\"]\n  2 [size=\"42401280\", alpha=\"0.05\", expect_size=\"16960512\"] \n  2 -> 16 [size =\"16960512\"]\n  3 [size=\"42787840\", alpha=\"0.16\", expect_size=\"17115136\"] \n  3 -> 10 [size =\"17115136\"]\n  3 -> 16 [size =\"17115136\"]\n  3 -> 19 [size =\"17115136\"]\n  3 -> 20 [size =\"17115136\"]\n  4 [size=\"43033600\", alpha=\"0.10\", expect_size=\"17213440\"] \n  4 -> 11 [size =\"17213440\"]\n  4 -> 13 [size =\"17213440\"]\n  4 -> 14 [size =\"17213440\"]\n  4 -> 16 [size =\"17213440\"]\n  4 -> 17 [size =\"17213440\"]\n  4 -> 19 [size =\"17213440\"]\n  4 -> 20 [size =\"17213440\"]\n  5 [size=\"110205440\", alpha=\"0.16\", expect_size=\"44082176\"] \n  5 -> 10 [size =\"44082176\"]\n  5 -> 11 [size =\"44082176\"]\n  5 -> 15 [size =\"44082176\"]\n  5 -> 18 [size =\"44082176\"]\n  5 -> 19 [size =\"44082176\"]\n  6 [size=\"77693440\", alpha=\"0.16\", expect_size=\"31077376\"] \n  6 -> 10 [size =\"31077376\"]\n  6 -> 11 [size =\"31077376\"]\n  6 -> 16 [size =\"31077376\"]\n  6 -> 18 [size =\"31077376\"]\n  6 -> 19 [size =\"31077376\"]\n  6 -> 20 [size =\"31077376\"]\n  7 [size=\"72890880\", alpha=\"0.10\", expect_size=\"29156352\"] \n  7 -> 14 [size =\"29156352\"]\n  7 -> 15 [size =\"29156352\"]\n  7 -> 16 [size =\"29156352\"]\n  7 -> 19 [size =\"29156352\"]\n  7 -> 19 [size =\"29156352\"]\n  7 -> 20 [size =\"29156352\"]\n  8 [size=\"121832960\", alpha=\"0.16\", expect_size=\"48733184\"] \n  8 -> 10 [size =\"48733184\"]\n  8 -> 11 [size =\"48733184\"]\n  8 -> 13 [size =\"48733184\"]\n  8 -> 14 [size =\"48733184\"]\n  8 -> 17 [size =\"48733184\"]\n  9 [size=\"129233920\", alpha=\"0.12\", expect_size=\"51693568\"] \n  9 -> 12 [size =\"51693568\"]\n  9 -> 13 [size =\"51693568\"]\n  9 -> 13 [size =\"51693568\"]\n  9 -> 16 [size =\"51693568\"]\n  9 -> 18 [size =\"51693568\"]\n  9 -> 20 [size =\"51693568\"]\n  10 [size=\"28211200\", alpha=\"0.12\", expect_size=\"11284480\"] \n  10 -> 24 [size =\"11284480\"]\n  11 [size=\"117171200\", alpha=\"0.16\", expect_size=\"46868480\"] \n  11 -> 24 [size =\"46868480\"]\n  12 [size=\"118481920\", alpha=\"0.09\", expect_size=\"47392768\"] \n  12 -> 22 [size =\"47392768\"]\n  13 [size=\"28034560\", alpha=\"0.17\", expect_size=\"11213824\"] \n  13 -> 21 [size =\"11213824\"]\n  14 [size=\"121546240\", alpha=\"0.01\", expect_size=\"48618496\"] \n  14 -> 23 [size =\"48618496\"]\n  15 [size=\"65264640\", alpha=\"0.10\", expect_size=\"26105856\"] \n  15 -> 21 [size =\"26105856\"]\n  15 -> 22 [size =\"26105856\"]\n  15 -> 25 [size =\"26105856\"]\n  16 [size=\"41221120\", alpha=\"0.12\", expect_size=\"16488448\"] \n  16 -> 21 [size =\"16488448\"]\n  17 [size=\"17845760\", alpha=\"0.19\", expect_size=\"7138304\"] \n  17 -> 21 [size =\"7138304\"]\n  17 -> 22 [size =\"7138304\"]\n  17 -> 23 [size =\"7138304\"]\n  18 [size=\"78248960\", alpha=\"0.15\", expect_size=\"31299584\"] \n  18 -> 21 [size =\"31299584\"]\n  18 -> 24 [size =\"31299584\"]\n  18 -> 25 [size =\"31299584\"]\n  19 [size=\"52736000\", alpha=\"0.00\", expect_size=\"21094400\"] \n  19 -> 22 [size =\"21094400\"]\n  19 -> 24 [size =\"21094400\"]\n  19 -> 25 [size =\"21094400\"]\n  20 [size=\"125939200\", alpha=\"0.18\", expect_size=\"50375680\"] \n  20 -> 24 [size =\"50375680\"]\n  20 -> 24 [size =\"50375680\"]\n  21 [size=\"76953600\", alpha=\"0.09\", expect_size=\"30781440\"] \n  22 [size=\"52958720\", alpha=\"0.05\", expect_size=\"21183488\"] \n  23 [size=\"108610560\", alpha=\"0.05\", expect_size=\"43444224\"] \n  24 [size=\"89986560\", alpha=\"0.11\", expect_size=\"35994624\"] \n  25 [size=\"98352640\", alpha=\"0.13\", expect_size=\"39341056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72775680\", alpha=\"0.01\", expect_size=\"21832704\"] \n  1 -> 19 [size =\"21832704\"]\n  1 -> 19 [size =\"21832704\"]\n  1 -> 20 [size =\"21832704\"]\n  1 -> 25 [size =\"21832704\"]\n  1 -> 25 [size =\"21832704\"]\n  2 [size=\"165870933\", alpha=\"0.05\", expect_size=\"49761280\"] \n  2 -> 16 [size =\"49761280\"]\n  2 -> 23 [size =\"49761280\"]\n  2 -> 25 [size =\"49761280\"]\n  3 [size=\"148534613\", alpha=\"0.18\", expect_size=\"44560384\"] \n  3 -> 16 [size =\"44560384\"]\n  3 -> 24 [size =\"44560384\"]\n  3 -> 25 [size =\"44560384\"]\n  4 [size=\"112394240\", alpha=\"0.06\", expect_size=\"33718272\"] \n  4 -> 20 [size =\"33718272\"]\n  4 -> 21 [size =\"33718272\"]\n  4 -> 24 [size =\"33718272\"]\n  5 [size=\"173298347\", alpha=\"0.16\", expect_size=\"51989504\"] \n  5 -> 16 [size =\"51989504\"]\n  5 -> 17 [size =\"51989504\"]\n  5 -> 20 [size =\"51989504\"]\n  5 -> 21 [size =\"51989504\"]\n  5 -> 22 [size =\"51989504\"]\n  5 -> 24 [size =\"51989504\"]\n  6 [size=\"144315733\", alpha=\"0.17\", expect_size=\"43294720\"] \n  6 -> 19 [size =\"43294720\"]\n  6 -> 20 [size =\"43294720\"]\n  6 -> 21 [size =\"43294720\"]\n  6 -> 23 [size =\"43294720\"]\n  6 -> 24 [size =\"43294720\"]\n  7 [size=\"162955947\", alpha=\"0.15\", expect_size=\"48886784\"] \n  7 -> 17 [size =\"48886784\"]\n  7 -> 22 [size =\"48886784\"]\n  7 -> 23 [size =\"48886784\"]\n  8 [size=\"132075520\", alpha=\"0.15\", expect_size=\"39622656\"] \n  8 -> 18 [size =\"39622656\"]\n  8 -> 22 [size =\"39622656\"]\n  8 -> 24 [size =\"39622656\"]\n  8 -> 25 [size =\"39622656\"]\n  9 [size=\"123296427\", alpha=\"0.08\", expect_size=\"36988928\"] \n  9 -> 20 [size =\"36988928\"]\n  9 -> 25 [size =\"36988928\"]\n  10 [size=\"129471147\", alpha=\"0.16\", expect_size=\"38841344\"] \n  10 -> 16 [size =\"38841344\"]\n  10 -> 20 [size =\"38841344\"]\n  10 -> 22 [size =\"38841344\"]\n  11 [size=\"174066347\", alpha=\"0.10\", expect_size=\"52219904\"] \n  11 -> 16 [size =\"52219904\"]\n  11 -> 20 [size =\"52219904\"]\n  11 -> 22 [size =\"52219904\"]\n  11 -> 24 [size =\"52219904\"]\n  12 [size=\"28067840\", alpha=\"0.20\", expect_size=\"8420352\"] \n  12 -> 16 [size =\"8420352\"]\n  12 -> 17 [size =\"8420352\"]\n  12 -> 20 [size =\"8420352\"]\n  12 -> 23 [size =\"8420352\"]\n  12 -> 24 [size =\"8420352\"]\n  13 [size=\"68249600\", alpha=\"0.18\", expect_size=\"20474880\"] \n  13 -> 16 [size =\"20474880\"]\n  13 -> 17 [size =\"20474880\"]\n  13 -> 20 [size =\"20474880\"]\n  13 -> 23 [size =\"20474880\"]\n  13 -> 24 [size =\"20474880\"]\n  13 -> 25 [size =\"20474880\"]\n  14 [size=\"49005227\", alpha=\"0.19\", expect_size=\"14701568\"] \n  14 -> 16 [size =\"14701568\"]\n  14 -> 17 [size =\"14701568\"]\n  14 -> 18 [size =\"14701568\"]\n  14 -> 19 [size =\"14701568\"]\n  14 -> 20 [size =\"14701568\"]\n  14 -> 23 [size =\"14701568\"]\n  14 -> 25 [size =\"14701568\"]\n  15 [size=\"99085653\", alpha=\"0.03\", expect_size=\"29725696\"] \n  15 -> 16 [size =\"29725696\"]\n  15 -> 19 [size =\"29725696\"]\n  15 -> 20 [size =\"29725696\"]\n  15 -> 21 [size =\"29725696\"]\n  15 -> 25 [size =\"29725696\"]\n  16 [size=\"65771520\", alpha=\"0.11\", expect_size=\"19731456\"] \n  17 [size=\"44844373\", alpha=\"0.03\", expect_size=\"13453312\"] \n  18 [size=\"162402987\", alpha=\"0.00\", expect_size=\"48720896\"] \n  19 [size=\"119623680\", alpha=\"0.17\", expect_size=\"35887104\"] \n  20 [size=\"27446613\", alpha=\"0.14\", expect_size=\"8233984\"] \n  21 [size=\"150312960\", alpha=\"0.17\", expect_size=\"45093888\"] \n  22 [size=\"75055787\", alpha=\"0.19\", expect_size=\"22516736\"] \n  23 [size=\"72222720\", alpha=\"0.18\", expect_size=\"21666816\"] \n  24 [size=\"55084373\", alpha=\"0.09\", expect_size=\"16525312\"] \n  25 [size=\"44571307\", alpha=\"0.00\", expect_size=\"13371392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100683776\", alpha=\"0.19\", expect_size=\"50341888\"] \n  1 -> 16 [size =\"50341888\"]\n  1 -> 18 [size =\"50341888\"]\n  1 -> 21 [size =\"50341888\"]\n  1 -> 23 [size =\"50341888\"]\n  1 -> 24 [size =\"50341888\"]\n  1 -> 25 [size =\"50341888\"]\n  2 [size=\"93876224\", alpha=\"0.07\", expect_size=\"46938112\"] \n  2 -> 17 [size =\"46938112\"]\n  2 -> 19 [size =\"46938112\"]\n  2 -> 21 [size =\"46938112\"]\n  2 -> 22 [size =\"46938112\"]\n  3 [size=\"52226048\", alpha=\"0.18\", expect_size=\"26113024\"] \n  3 -> 17 [size =\"26113024\"]\n  3 -> 20 [size =\"26113024\"]\n  3 -> 25 [size =\"26113024\"]\n  4 [size=\"97759232\", alpha=\"0.08\", expect_size=\"48879616\"] \n  4 -> 14 [size =\"48879616\"]\n  4 -> 16 [size =\"48879616\"]\n  4 -> 22 [size =\"48879616\"]\n  4 -> 23 [size =\"48879616\"]\n  5 [size=\"102096896\", alpha=\"0.03\", expect_size=\"51048448\"] \n  5 -> 16 [size =\"51048448\"]\n  5 -> 17 [size =\"51048448\"]\n  5 -> 18 [size =\"51048448\"]\n  5 -> 19 [size =\"51048448\"]\n  5 -> 21 [size =\"51048448\"]\n  5 -> 22 [size =\"51048448\"]\n  5 -> 23 [size =\"51048448\"]\n  6 [size=\"41730048\", alpha=\"0.04\", expect_size=\"20865024\"] \n  6 -> 16 [size =\"20865024\"]\n  6 -> 18 [size =\"20865024\"]\n  6 -> 20 [size =\"20865024\"]\n  6 -> 21 [size =\"20865024\"]\n  6 -> 22 [size =\"20865024\"]\n  6 -> 23 [size =\"20865024\"]\n  6 -> 25 [size =\"20865024\"]\n  7 [size=\"63795200\", alpha=\"0.13\", expect_size=\"31897600\"] \n  7 -> 21 [size =\"31897600\"]\n  7 -> 24 [size =\"31897600\"]\n  8 [size=\"54376448\", alpha=\"0.04\", expect_size=\"27188224\"] \n  8 -> 15 [size =\"27188224\"]\n  8 -> 19 [size =\"27188224\"]\n  8 -> 25 [size =\"27188224\"]\n  9 [size=\"65736704\", alpha=\"0.12\", expect_size=\"32868352\"] \n  9 -> 23 [size =\"32868352\"]\n  10 [size=\"88969216\", alpha=\"0.14\", expect_size=\"44484608\"] \n  10 -> 16 [size =\"44484608\"]\n  10 -> 17 [size =\"44484608\"]\n  10 -> 21 [size =\"44484608\"]\n  11 [size=\"52008960\", alpha=\"0.01\", expect_size=\"26004480\"] \n  11 -> 14 [size =\"26004480\"]\n  11 -> 15 [size =\"26004480\"]\n  11 -> 16 [size =\"26004480\"]\n  11 -> 24 [size =\"26004480\"]\n  12 [size=\"46196736\", alpha=\"0.15\", expect_size=\"23098368\"] \n  12 -> 14 [size =\"23098368\"]\n  12 -> 16 [size =\"23098368\"]\n  12 -> 17 [size =\"23098368\"]\n  12 -> 18 [size =\"23098368\"]\n  12 -> 21 [size =\"23098368\"]\n  12 -> 24 [size =\"23098368\"]\n  13 [size=\"78669824\", alpha=\"0.17\", expect_size=\"39334912\"] \n  13 -> 17 [size =\"39334912\"]\n  13 -> 24 [size =\"39334912\"]\n  14 [size=\"68771840\", alpha=\"0.13\", expect_size=\"34385920\"] \n  15 [size=\"14090240\", alpha=\"0.16\", expect_size=\"7045120\"] \n  16 [size=\"28260352\", alpha=\"0.12\", expect_size=\"14130176\"] \n  17 [size=\"46153728\", alpha=\"0.16\", expect_size=\"23076864\"] \n  18 [size=\"13346816\", alpha=\"0.03\", expect_size=\"6673408\"] \n  19 [size=\"30935040\", alpha=\"0.07\", expect_size=\"15467520\"] \n  20 [size=\"87494656\", alpha=\"0.08\", expect_size=\"43747328\"] \n  21 [size=\"57665536\", alpha=\"0.08\", expect_size=\"28832768\"] \n  22 [size=\"63819776\", alpha=\"0.06\", expect_size=\"31909888\"] \n  23 [size=\"40093696\", alpha=\"0.13\", expect_size=\"20046848\"] \n  24 [size=\"23857152\", alpha=\"0.18\", expect_size=\"11928576\"] \n  25 [size=\"87433216\", alpha=\"0.03\", expect_size=\"43716608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26456747\", alpha=\"0.08\", expect_size=\"7937024\"] \n  1 -> 5 [size =\"7937024\"]\n  1 -> 7 [size =\"7937024\"]\n  1 -> 8 [size =\"7937024\"]\n  2 [size=\"135939413\", alpha=\"0.01\", expect_size=\"40781824\"] \n  2 -> 4 [size =\"40781824\"]\n  2 -> 5 [size =\"40781824\"]\n  2 -> 6 [size =\"40781824\"]\n  3 [size=\"89743360\", alpha=\"0.10\", expect_size=\"26923008\"] \n  3 -> 6 [size =\"26923008\"]\n  3 -> 7 [size =\"26923008\"]\n  4 [size=\"153705813\", alpha=\"0.00\", expect_size=\"46111744\"] \n  4 -> 9 [size =\"46111744\"]\n  5 [size=\"51653973\", alpha=\"0.01\", expect_size=\"15496192\"] \n  5 -> 10 [size =\"15496192\"]\n  6 [size=\"130153813\", alpha=\"0.13\", expect_size=\"39046144\"] \n  7 [size=\"19923627\", alpha=\"0.06\", expect_size=\"5977088\"] \n  8 [size=\"91654827\", alpha=\"0.12\", expect_size=\"27496448\"] \n  8 -> 9 [size =\"27496448\"]\n  9 [size=\"81660587\", alpha=\"0.02\", expect_size=\"24498176\"] \n  9 -> 11 [size =\"24498176\"]\n  9 -> 13 [size =\"24498176\"]\n  9 -> 14 [size =\"24498176\"]\n  10 [size=\"130211840\", alpha=\"0.10\", expect_size=\"39063552\"] \n  10 -> 11 [size =\"39063552\"]\n  10 -> 12 [size =\"39063552\"]\n  11 [size=\"41601707\", alpha=\"0.15\", expect_size=\"12480512\"] \n  11 -> 16 [size =\"12480512\"]\n  12 [size=\"107168427\", alpha=\"0.19\", expect_size=\"32150528\"] \n  12 -> 16 [size =\"32150528\"]\n  12 -> 17 [size =\"32150528\"]\n  13 [size=\"111458987\", alpha=\"0.20\", expect_size=\"33437696\"] \n  13 -> 15 [size =\"33437696\"]\n  13 -> 16 [size =\"33437696\"]\n  14 [size=\"35488427\", alpha=\"0.04\", expect_size=\"10646528\"] \n  14 -> 15 [size =\"10646528\"]\n  15 [size=\"38229333\", alpha=\"0.00\", expect_size=\"11468800\"] \n  15 -> 18 [size =\"11468800\"]\n  15 -> 19 [size =\"11468800\"]\n  15 -> 20 [size =\"11468800\"]\n  16 [size=\"48097280\", alpha=\"0.06\", expect_size=\"14429184\"] \n  17 [size=\"150411947\", alpha=\"0.18\", expect_size=\"45123584\"] \n  17 -> 18 [size =\"45123584\"]\n  17 -> 19 [size =\"45123584\"]\n  18 [size=\"38860800\", alpha=\"0.04\", expect_size=\"11658240\"] \n  18 -> 21 [size =\"11658240\"]\n  18 -> 23 [size =\"11658240\"]\n  19 [size=\"132164267\", alpha=\"0.11\", expect_size=\"39649280\"] \n  19 -> 22 [size =\"39649280\"]\n  19 -> 23 [size =\"39649280\"]\n  20 [size=\"150415360\", alpha=\"0.05\", expect_size=\"45124608\"] \n  21 [size=\"75407360\", alpha=\"0.20\", expect_size=\"22622208\"] \n  21 -> 24 [size =\"22622208\"]\n  22 [size=\"39854080\", alpha=\"0.10\", expect_size=\"11956224\"] \n  22 -> 24 [size =\"11956224\"]\n  22 -> 25 [size =\"11956224\"]\n  23 [size=\"28057600\", alpha=\"0.09\", expect_size=\"8417280\"] \n  24 [size=\"27026773\", alpha=\"0.05\", expect_size=\"8108032\"] \n  25 [size=\"56217600\", alpha=\"0.06\", expect_size=\"16865280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27170816\", alpha=\"0.03\", expect_size=\"13585408\"] \n  1 -> 5 [size =\"13585408\"]\n  1 -> 6 [size =\"13585408\"]\n  1 -> 7 [size =\"13585408\"]\n  2 [size=\"13021184\", alpha=\"0.08\", expect_size=\"6510592\"] \n  2 -> 6 [size =\"6510592\"]\n  2 -> 7 [size =\"6510592\"]\n  2 -> 7 [size =\"6510592\"]\n  2 -> 8 [size =\"6510592\"]\n  3 [size=\"98836480\", alpha=\"0.19\", expect_size=\"49418240\"] \n  3 -> 6 [size =\"49418240\"]\n  3 -> 9 [size =\"49418240\"]\n  3 -> 10 [size =\"49418240\"]\n  4 [size=\"70084608\", alpha=\"0.20\", expect_size=\"35042304\"] \n  4 -> 6 [size =\"35042304\"]\n  4 -> 7 [size =\"35042304\"]\n  4 -> 9 [size =\"35042304\"]\n  5 [size=\"46469120\", alpha=\"0.12\", expect_size=\"23234560\"] \n  5 -> 11 [size =\"23234560\"]\n  5 -> 13 [size =\"23234560\"]\n  5 -> 15 [size =\"23234560\"]\n  5 -> 16 [size =\"23234560\"]\n  5 -> 18 [size =\"23234560\"]\n  5 -> 19 [size =\"23234560\"]\n  5 -> 20 [size =\"23234560\"]\n  6 [size=\"90013696\", alpha=\"0.19\", expect_size=\"45006848\"] \n  6 -> 12 [size =\"45006848\"]\n  6 -> 13 [size =\"45006848\"]\n  6 -> 15 [size =\"45006848\"]\n  6 -> 16 [size =\"45006848\"]\n  6 -> 19 [size =\"45006848\"]\n  6 -> 20 [size =\"45006848\"]\n  7 [size=\"102084608\", alpha=\"0.15\", expect_size=\"51042304\"] \n  7 -> 12 [size =\"51042304\"]\n  7 -> 13 [size =\"51042304\"]\n  7 -> 15 [size =\"51042304\"]\n  7 -> 16 [size =\"51042304\"]\n  7 -> 18 [size =\"51042304\"]\n  7 -> 20 [size =\"51042304\"]\n  8 [size=\"21069824\", alpha=\"0.11\", expect_size=\"10534912\"] \n  8 -> 12 [size =\"10534912\"]\n  8 -> 13 [size =\"10534912\"]\n  8 -> 14 [size =\"10534912\"]\n  8 -> 16 [size =\"10534912\"]\n  8 -> 17 [size =\"10534912\"]\n  8 -> 18 [size =\"10534912\"]\n  8 -> 20 [size =\"10534912\"]\n  9 [size=\"55767040\", alpha=\"0.01\", expect_size=\"27883520\"] \n  9 -> 12 [size =\"27883520\"]\n  9 -> 13 [size =\"27883520\"]\n  9 -> 15 [size =\"27883520\"]\n  9 -> 17 [size =\"27883520\"]\n  9 -> 18 [size =\"27883520\"]\n  9 -> 19 [size =\"27883520\"]\n  9 -> 20 [size =\"27883520\"]\n  10 [size=\"57681920\", alpha=\"0.14\", expect_size=\"28840960\"] \n  10 -> 12 [size =\"28840960\"]\n  10 -> 13 [size =\"28840960\"]\n  10 -> 17 [size =\"28840960\"]\n  10 -> 19 [size =\"28840960\"]\n  10 -> 20 [size =\"28840960\"]\n  11 [size=\"73193472\", alpha=\"0.09\", expect_size=\"36596736\"] \n  11 -> 23 [size =\"36596736\"]\n  11 -> 24 [size =\"36596736\"]\n  12 [size=\"85522432\", alpha=\"0.13\", expect_size=\"42761216\"] \n  12 -> 21 [size =\"42761216\"]\n  12 -> 23 [size =\"42761216\"]\n  13 [size=\"30973952\", alpha=\"0.04\", expect_size=\"15486976\"] \n  13 -> 21 [size =\"15486976\"]\n  13 -> 22 [size =\"15486976\"]\n  13 -> 23 [size =\"15486976\"]\n  14 [size=\"26800128\", alpha=\"0.13\", expect_size=\"13400064\"] \n  14 -> 23 [size =\"13400064\"]\n  15 [size=\"25864192\", alpha=\"0.01\", expect_size=\"12932096\"] \n  15 -> 24 [size =\"12932096\"]\n  16 [size=\"80730112\", alpha=\"0.08\", expect_size=\"40365056\"] \n  16 -> 21 [size =\"40365056\"]\n  16 -> 24 [size =\"40365056\"]\n  17 [size=\"73785344\", alpha=\"0.17\", expect_size=\"36892672\"] \n  17 -> 23 [size =\"36892672\"]\n  17 -> 25 [size =\"36892672\"]\n  18 [size=\"49369088\", alpha=\"0.16\", expect_size=\"24684544\"] \n  19 [size=\"99149824\", alpha=\"0.18\", expect_size=\"49574912\"] \n  19 -> 22 [size =\"49574912\"]\n  20 [size=\"102029312\", alpha=\"0.05\", expect_size=\"51014656\"] \n  20 -> 23 [size =\"51014656\"]\n  21 [size=\"73691136\", alpha=\"0.16\", expect_size=\"36845568\"] \n  22 [size=\"23670784\", alpha=\"0.07\", expect_size=\"11835392\"] \n  23 [size=\"83894272\", alpha=\"0.17\", expect_size=\"41947136\"] \n  24 [size=\"104194048\", alpha=\"0.00\", expect_size=\"52097024\"] \n  25 [size=\"71886848\", alpha=\"0.10\", expect_size=\"35943424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38494208\", alpha=\"0.14\", expect_size=\"19247104\"] \n  1 -> 14 [size =\"19247104\"]\n  1 -> 17 [size =\"19247104\"]\n  1 -> 18 [size =\"19247104\"]\n  1 -> 23 [size =\"19247104\"]\n  2 [size=\"90077184\", alpha=\"0.05\", expect_size=\"45038592\"] \n  2 -> 15 [size =\"45038592\"]\n  2 -> 16 [size =\"45038592\"]\n  2 -> 17 [size =\"45038592\"]\n  3 [size=\"65241088\", alpha=\"0.08\", expect_size=\"32620544\"] \n  4 [size=\"33622016\", alpha=\"0.08\", expect_size=\"16811008\"] \n  4 -> 15 [size =\"16811008\"]\n  4 -> 16 [size =\"16811008\"]\n  4 -> 17 [size =\"16811008\"]\n  4 -> 19 [size =\"16811008\"]\n  4 -> 23 [size =\"16811008\"]\n  5 [size=\"94820352\", alpha=\"0.08\", expect_size=\"47410176\"] \n  5 -> 14 [size =\"47410176\"]\n  5 -> 16 [size =\"47410176\"]\n  5 -> 18 [size =\"47410176\"]\n  5 -> 19 [size =\"47410176\"]\n  5 -> 21 [size =\"47410176\"]\n  6 [size=\"100065280\", alpha=\"0.20\", expect_size=\"50032640\"] \n  6 -> 16 [size =\"50032640\"]\n  6 -> 19 [size =\"50032640\"]\n  7 [size=\"58888192\", alpha=\"0.04\", expect_size=\"29444096\"] \n  7 -> 15 [size =\"29444096\"]\n  8 [size=\"26951680\", alpha=\"0.17\", expect_size=\"13475840\"] \n  8 -> 18 [size =\"13475840\"]\n  8 -> 20 [size =\"13475840\"]\n  9 [size=\"94261248\", alpha=\"0.04\", expect_size=\"47130624\"] \n  9 -> 14 [size =\"47130624\"]\n  9 -> 15 [size =\"47130624\"]\n  9 -> 16 [size =\"47130624\"]\n  9 -> 19 [size =\"47130624\"]\n  9 -> 20 [size =\"47130624\"]\n  10 [size=\"79015936\", alpha=\"0.06\", expect_size=\"39507968\"] \n  10 -> 15 [size =\"39507968\"]\n  10 -> 18 [size =\"39507968\"]\n  10 -> 19 [size =\"39507968\"]\n  10 -> 20 [size =\"39507968\"]\n  10 -> 22 [size =\"39507968\"]\n  10 -> 23 [size =\"39507968\"]\n  11 [size=\"57102336\", alpha=\"0.16\", expect_size=\"28551168\"] \n  11 -> 16 [size =\"28551168\"]\n  11 -> 23 [size =\"28551168\"]\n  12 [size=\"29171712\", alpha=\"0.09\", expect_size=\"14585856\"] \n  12 -> 16 [size =\"14585856\"]\n  12 -> 20 [size =\"14585856\"]\n  12 -> 22 [size =\"14585856\"]\n  13 [size=\"54642688\", alpha=\"0.07\", expect_size=\"27321344\"] \n  13 -> 14 [size =\"27321344\"]\n  13 -> 20 [size =\"27321344\"]\n  14 [size=\"91432960\", alpha=\"0.02\", expect_size=\"45716480\"] \n  14 -> 25 [size =\"45716480\"]\n  15 [size=\"36026368\", alpha=\"0.16\", expect_size=\"18013184\"] \n  15 -> 24 [size =\"18013184\"]\n  15 -> 25 [size =\"18013184\"]\n  16 [size=\"74510336\", alpha=\"0.19\", expect_size=\"37255168\"] \n  17 [size=\"73416704\", alpha=\"0.17\", expect_size=\"36708352\"] \n  18 [size=\"90316800\", alpha=\"0.17\", expect_size=\"45158400\"] \n  19 [size=\"74151936\", alpha=\"0.00\", expect_size=\"37075968\"] \n  20 [size=\"92665856\", alpha=\"0.07\", expect_size=\"46332928\"] \n  21 [size=\"24631296\", alpha=\"0.01\", expect_size=\"12315648\"] \n  21 -> 24 [size =\"12315648\"]\n  22 [size=\"101728256\", alpha=\"0.11\", expect_size=\"50864128\"] \n  22 -> 25 [size =\"50864128\"]\n  23 [size=\"47503360\", alpha=\"0.12\", expect_size=\"23751680\"] \n  24 [size=\"82452480\", alpha=\"0.19\", expect_size=\"41226240\"] \n  25 [size=\"91238400\", alpha=\"0.03\", expect_size=\"45619200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124682240\", alpha=\"0.13\", expect_size=\"49872896\"] \n  1 -> 9 [size =\"49872896\"]\n  1 -> 11 [size =\"49872896\"]\n  1 -> 14 [size =\"49872896\"]\n  1 -> 15 [size =\"49872896\"]\n  1 -> 17 [size =\"49872896\"]\n  1 -> 19 [size =\"49872896\"]\n  2 [size=\"22069760\", alpha=\"0.08\", expect_size=\"8827904\"] \n  2 -> 14 [size =\"8827904\"]\n  3 [size=\"44039680\", alpha=\"0.05\", expect_size=\"17615872\"] \n  3 -> 19 [size =\"17615872\"]\n  4 [size=\"79516160\", alpha=\"0.18\", expect_size=\"31806464\"] \n  4 -> 13 [size =\"31806464\"]\n  4 -> 19 [size =\"31806464\"]\n  5 [size=\"111155200\", alpha=\"0.19\", expect_size=\"44462080\"] \n  5 -> 10 [size =\"44462080\"]\n  5 -> 13 [size =\"44462080\"]\n  5 -> 16 [size =\"44462080\"]\n  5 -> 20 [size =\"44462080\"]\n  6 [size=\"114283520\", alpha=\"0.03\", expect_size=\"45713408\"] \n  6 -> 10 [size =\"45713408\"]\n  6 -> 11 [size =\"45713408\"]\n  7 [size=\"89536000\", alpha=\"0.19\", expect_size=\"35814400\"] \n  7 -> 10 [size =\"35814400\"]\n  7 -> 12 [size =\"35814400\"]\n  7 -> 14 [size =\"35814400\"]\n  7 -> 15 [size =\"35814400\"]\n  7 -> 18 [size =\"35814400\"]\n  7 -> 19 [size =\"35814400\"]\n  8 [size=\"32645120\", alpha=\"0.06\", expect_size=\"13058048\"] \n  8 -> 14 [size =\"13058048\"]\n  8 -> 16 [size =\"13058048\"]\n  9 [size=\"109506560\", alpha=\"0.17\", expect_size=\"43802624\"] \n  9 -> 24 [size =\"43802624\"]\n  10 [size=\"72616960\", alpha=\"0.16\", expect_size=\"29046784\"] \n  11 [size=\"58744320\", alpha=\"0.14\", expect_size=\"23497728\"] \n  11 -> 21 [size =\"23497728\"]\n  11 -> 25 [size =\"23497728\"]\n  12 [size=\"18263040\", alpha=\"0.08\", expect_size=\"7305216\"] \n  12 -> 21 [size =\"7305216\"]\n  13 [size=\"64773120\", alpha=\"0.18\", expect_size=\"25909248\"] \n  13 -> 21 [size =\"25909248\"]\n  13 -> 24 [size =\"25909248\"]\n  14 [size=\"91868160\", alpha=\"0.05\", expect_size=\"36747264\"] \n  14 -> 21 [size =\"36747264\"]\n  15 [size=\"81876480\", alpha=\"0.17\", expect_size=\"32750592\"] \n  15 -> 21 [size =\"32750592\"]\n  16 [size=\"77073920\", alpha=\"0.07\", expect_size=\"30829568\"] \n  16 -> 24 [size =\"30829568\"]\n  17 [size=\"96012800\", alpha=\"0.13\", expect_size=\"38405120\"] \n  17 -> 25 [size =\"38405120\"]\n  18 [size=\"90588160\", alpha=\"0.03\", expect_size=\"36235264\"] \n  18 -> 23 [size =\"36235264\"]\n  18 -> 24 [size =\"36235264\"]\n  18 -> 25 [size =\"36235264\"]\n  19 [size=\"124467200\", alpha=\"0.11\", expect_size=\"49786880\"] \n  19 -> 24 [size =\"49786880\"]\n  19 -> 25 [size =\"49786880\"]\n  20 [size=\"109153280\", alpha=\"0.07\", expect_size=\"43661312\"] \n  20 -> 22 [size =\"43661312\"]\n  20 -> 24 [size =\"43661312\"]\n  20 -> 25 [size =\"43661312\"]\n  21 [size=\"84144640\", alpha=\"0.02\", expect_size=\"33657856\"] \n  22 [size=\"49254400\", alpha=\"0.19\", expect_size=\"19701760\"] \n  23 [size=\"98209280\", alpha=\"0.01\", expect_size=\"39283712\"] \n  24 [size=\"85621760\", alpha=\"0.14\", expect_size=\"34248704\"] \n  25 [size=\"113546240\", alpha=\"0.04\", expect_size=\"45418496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93484373\", alpha=\"0.16\", expect_size=\"28045312\"] \n  1 -> 22 [size =\"28045312\"]\n  2 [size=\"32119467\", alpha=\"0.06\", expect_size=\"9635840\"] \n  2 -> 20 [size =\"9635840\"]\n  3 [size=\"174568107\", alpha=\"0.20\", expect_size=\"52370432\"] \n  3 -> 21 [size =\"52370432\"]\n  3 -> 23 [size =\"52370432\"]\n  3 -> 25 [size =\"52370432\"]\n  4 [size=\"103311360\", alpha=\"0.19\", expect_size=\"30993408\"] \n  4 -> 25 [size =\"30993408\"]\n  5 [size=\"78704640\", alpha=\"0.09\", expect_size=\"23611392\"] \n  5 -> 21 [size =\"23611392\"]\n  5 -> 22 [size =\"23611392\"]\n  5 -> 25 [size =\"23611392\"]\n  6 [size=\"171117227\", alpha=\"0.06\", expect_size=\"51335168\"] \n  6 -> 25 [size =\"51335168\"]\n  7 [size=\"142090240\", alpha=\"0.04\", expect_size=\"42627072\"] \n  7 -> 25 [size =\"42627072\"]\n  8 [size=\"124569600\", alpha=\"0.10\", expect_size=\"37370880\"] \n  8 -> 21 [size =\"37370880\"]\n  9 [size=\"125788160\", alpha=\"0.01\", expect_size=\"37736448\"] \n  10 [size=\"171086507\", alpha=\"0.14\", expect_size=\"51325952\"] \n  10 -> 25 [size =\"51325952\"]\n  11 [size=\"130245973\", alpha=\"0.06\", expect_size=\"39073792\"] \n  11 -> 25 [size =\"39073792\"]\n  12 [size=\"95662080\", alpha=\"0.02\", expect_size=\"28698624\"] \n  12 -> 21 [size =\"28698624\"]\n  13 [size=\"142216533\", alpha=\"0.00\", expect_size=\"42664960\"] \n  13 -> 24 [size =\"42664960\"]\n  13 -> 25 [size =\"42664960\"]\n  14 [size=\"140916053\", alpha=\"0.07\", expect_size=\"42274816\"] \n  14 -> 21 [size =\"42274816\"]\n  15 [size=\"131573760\", alpha=\"0.12\", expect_size=\"39472128\"] \n  15 -> 21 [size =\"39472128\"]\n  16 [size=\"48056320\", alpha=\"0.17\", expect_size=\"14416896\"] \n  17 [size=\"97034240\", alpha=\"0.12\", expect_size=\"29110272\"] \n  17 -> 21 [size =\"29110272\"]\n  17 -> 25 [size =\"29110272\"]\n  18 [size=\"126064640\", alpha=\"0.04\", expect_size=\"37819392\"] \n  19 [size=\"44953600\", alpha=\"0.18\", expect_size=\"13486080\"] \n  19 -> 22 [size =\"13486080\"]\n  20 [size=\"49718613\", alpha=\"0.12\", expect_size=\"14915584\"] \n  21 [size=\"159723520\", alpha=\"0.16\", expect_size=\"47917056\"] \n  22 [size=\"46882133\", alpha=\"0.02\", expect_size=\"14064640\"] \n  23 [size=\"59006293\", alpha=\"0.08\", expect_size=\"17701888\"] \n  24 [size=\"59682133\", alpha=\"0.05\", expect_size=\"17904640\"] \n  25 [size=\"117015893\", alpha=\"0.09\", expect_size=\"35104768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109448533\", alpha=\"0.13\", expect_size=\"32834560\"] \n  1 -> 18 [size =\"32834560\"]\n  1 -> 20 [size =\"32834560\"]\n  1 -> 22 [size =\"32834560\"]\n  2 [size=\"100877653\", alpha=\"0.18\", expect_size=\"30263296\"] \n  2 -> 20 [size =\"30263296\"]\n  2 -> 21 [size =\"30263296\"]\n  2 -> 22 [size =\"30263296\"]\n  2 -> 25 [size =\"30263296\"]\n  3 [size=\"112544427\", alpha=\"0.00\", expect_size=\"33763328\"] \n  3 -> 18 [size =\"33763328\"]\n  4 [size=\"153251840\", alpha=\"0.01\", expect_size=\"45975552\"] \n  4 -> 20 [size =\"45975552\"]\n  5 [size=\"153545387\", alpha=\"0.07\", expect_size=\"46063616\"] \n  5 -> 20 [size =\"46063616\"]\n  5 -> 24 [size =\"46063616\"]\n  6 [size=\"95600640\", alpha=\"0.03\", expect_size=\"28680192\"] \n  6 -> 21 [size =\"28680192\"]\n  7 [size=\"84619947\", alpha=\"0.12\", expect_size=\"25385984\"] \n  7 -> 20 [size =\"25385984\"]\n  7 -> 22 [size =\"25385984\"]\n  7 -> 24 [size =\"25385984\"]\n  7 -> 25 [size =\"25385984\"]\n  8 [size=\"82172587\", alpha=\"0.09\", expect_size=\"24651776\"] \n  8 -> 18 [size =\"24651776\"]\n  8 -> 20 [size =\"24651776\"]\n  8 -> 21 [size =\"24651776\"]\n  9 [size=\"32327680\", alpha=\"0.14\", expect_size=\"9698304\"] \n  9 -> 19 [size =\"9698304\"]\n  9 -> 20 [size =\"9698304\"]\n  9 -> 21 [size =\"9698304\"]\n  9 -> 24 [size =\"9698304\"]\n  10 [size=\"31365120\", alpha=\"0.02\", expect_size=\"9409536\"] \n  10 -> 18 [size =\"9409536\"]\n  10 -> 21 [size =\"9409536\"]\n  10 -> 22 [size =\"9409536\"]\n  10 -> 24 [size =\"9409536\"]\n  10 -> 25 [size =\"9409536\"]\n  11 [size=\"41407147\", alpha=\"0.06\", expect_size=\"12422144\"] \n  11 -> 18 [size =\"12422144\"]\n  11 -> 24 [size =\"12422144\"]\n  12 [size=\"142882133\", alpha=\"0.06\", expect_size=\"42864640\"] \n  12 -> 19 [size =\"42864640\"]\n  12 -> 20 [size =\"42864640\"]\n  13 [size=\"124398933\", alpha=\"0.18\", expect_size=\"37319680\"] \n  13 -> 19 [size =\"37319680\"]\n  13 -> 22 [size =\"37319680\"]\n  13 -> 25 [size =\"37319680\"]\n  14 [size=\"125429760\", alpha=\"0.11\", expect_size=\"37628928\"] \n  14 -> 19 [size =\"37628928\"]\n  14 -> 20 [size =\"37628928\"]\n  14 -> 24 [size =\"37628928\"]\n  14 -> 25 [size =\"37628928\"]\n  15 [size=\"131618133\", alpha=\"0.05\", expect_size=\"39485440\"] \n  15 -> 22 [size =\"39485440\"]\n  16 [size=\"25698987\", alpha=\"0.17\", expect_size=\"7709696\"] \n  16 -> 19 [size =\"7709696\"]\n  16 -> 23 [size =\"7709696\"]\n  17 [size=\"45902507\", alpha=\"0.14\", expect_size=\"13770752\"] \n  17 -> 21 [size =\"13770752\"]\n  18 [size=\"137502720\", alpha=\"0.15\", expect_size=\"41250816\"] \n  19 [size=\"48414720\", alpha=\"0.16\", expect_size=\"14524416\"] \n  20 [size=\"159177387\", alpha=\"0.05\", expect_size=\"47753216\"] \n  21 [size=\"172974080\", alpha=\"0.05\", expect_size=\"51892224\"] \n  22 [size=\"64174080\", alpha=\"0.16\", expect_size=\"19252224\"] \n  23 [size=\"114701653\", alpha=\"0.19\", expect_size=\"34410496\"] \n  24 [size=\"101089280\", alpha=\"0.20\", expect_size=\"30326784\"] \n  25 [size=\"33604267\", alpha=\"0.17\", expect_size=\"10081280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77974187\", alpha=\"0.03\", expect_size=\"23392256\"] \n  1 -> 20 [size =\"23392256\"]\n  2 [size=\"149893120\", alpha=\"0.01\", expect_size=\"44967936\"] \n  2 -> 20 [size =\"44967936\"]\n  2 -> 24 [size =\"44967936\"]\n  2 -> 25 [size =\"44967936\"]\n  3 [size=\"147452587\", alpha=\"0.08\", expect_size=\"44235776\"] \n  3 -> 20 [size =\"44235776\"]\n  3 -> 22 [size =\"44235776\"]\n  4 [size=\"18425173\", alpha=\"0.08\", expect_size=\"5527552\"] \n  4 -> 22 [size =\"5527552\"]\n  4 -> 24 [size =\"5527552\"]\n  5 [size=\"103543467\", alpha=\"0.10\", expect_size=\"31063040\"] \n  5 -> 24 [size =\"31063040\"]\n  5 -> 25 [size =\"31063040\"]\n  6 [size=\"149306027\", alpha=\"0.16\", expect_size=\"44791808\"] \n  6 -> 24 [size =\"44791808\"]\n  6 -> 25 [size =\"44791808\"]\n  7 [size=\"96017067\", alpha=\"0.04\", expect_size=\"28805120\"] \n  7 -> 22 [size =\"28805120\"]\n  7 -> 24 [size =\"28805120\"]\n  8 [size=\"57285973\", alpha=\"0.15\", expect_size=\"17185792\"] \n  9 [size=\"31508480\", alpha=\"0.02\", expect_size=\"9452544\"] \n  9 -> 20 [size =\"9452544\"]\n  10 [size=\"39492267\", alpha=\"0.13\", expect_size=\"11847680\"] \n  10 -> 20 [size =\"11847680\"]\n  10 -> 22 [size =\"11847680\"]\n  10 -> 25 [size =\"11847680\"]\n  11 [size=\"119835307\", alpha=\"0.01\", expect_size=\"35950592\"] \n  11 -> 20 [size =\"35950592\"]\n  11 -> 25 [size =\"35950592\"]\n  12 [size=\"143619413\", alpha=\"0.05\", expect_size=\"43085824\"] \n  12 -> 22 [size =\"43085824\"]\n  12 -> 24 [size =\"43085824\"]\n  12 -> 25 [size =\"43085824\"]\n  13 [size=\"154890240\", alpha=\"0.05\", expect_size=\"46467072\"] \n  13 -> 23 [size =\"46467072\"]\n  14 [size=\"63890773\", alpha=\"0.16\", expect_size=\"19167232\"] \n  14 -> 20 [size =\"19167232\"]\n  14 -> 21 [size =\"19167232\"]\n  14 -> 24 [size =\"19167232\"]\n  15 [size=\"129713493\", alpha=\"0.15\", expect_size=\"38914048\"] \n  15 -> 20 [size =\"38914048\"]\n  15 -> 21 [size =\"38914048\"]\n  16 [size=\"50216960\", alpha=\"0.13\", expect_size=\"15065088\"] \n  16 -> 21 [size =\"15065088\"]\n  17 [size=\"173008213\", alpha=\"0.13\", expect_size=\"51902464\"] \n  17 -> 20 [size =\"51902464\"]\n  17 -> 25 [size =\"51902464\"]\n  18 [size=\"46653440\", alpha=\"0.13\", expect_size=\"13996032\"] \n  18 -> 24 [size =\"13996032\"]\n  18 -> 25 [size =\"13996032\"]\n  19 [size=\"164328107\", alpha=\"0.01\", expect_size=\"49298432\"] \n  19 -> 23 [size =\"49298432\"]\n  20 [size=\"22664533\", alpha=\"0.19\", expect_size=\"6799360\"] \n  21 [size=\"126218240\", alpha=\"0.04\", expect_size=\"37865472\"] \n  22 [size=\"135618560\", alpha=\"0.07\", expect_size=\"40685568\"] \n  23 [size=\"174639787\", alpha=\"0.05\", expect_size=\"52391936\"] \n  24 [size=\"56917333\", alpha=\"0.04\", expect_size=\"17075200\"] \n  25 [size=\"27579733\", alpha=\"0.14\", expect_size=\"8273920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52305920\", alpha=\"0.11\", expect_size=\"15691776\"] \n  1 -> 5 [size =\"15691776\"]\n  1 -> 7 [size =\"15691776\"]\n  1 -> 9 [size =\"15691776\"]\n  2 [size=\"126679040\", alpha=\"0.13\", expect_size=\"38003712\"] \n  2 -> 5 [size =\"38003712\"]\n  2 -> 8 [size =\"38003712\"]\n  3 [size=\"73635840\", alpha=\"0.04\", expect_size=\"22090752\"] \n  3 -> 7 [size =\"22090752\"]\n  3 -> 8 [size =\"22090752\"]\n  3 -> 9 [size =\"22090752\"]\n  4 [size=\"23098027\", alpha=\"0.09\", expect_size=\"6929408\"] \n  4 -> 6 [size =\"6929408\"]\n  5 [size=\"30716587\", alpha=\"0.10\", expect_size=\"9214976\"] \n  5 -> 11 [size =\"9214976\"]\n  6 [size=\"44001280\", alpha=\"0.08\", expect_size=\"13200384\"] \n  6 -> 11 [size =\"13200384\"]\n  7 [size=\"101150720\", alpha=\"0.18\", expect_size=\"30345216\"] \n  7 -> 10 [size =\"30345216\"]\n  7 -> 11 [size =\"30345216\"]\n  8 [size=\"54838613\", alpha=\"0.10\", expect_size=\"16451584\"] \n  8 -> 10 [size =\"16451584\"]\n  9 [size=\"38195200\", alpha=\"0.18\", expect_size=\"11458560\"] \n  9 -> 10 [size =\"11458560\"]\n  9 -> 11 [size =\"11458560\"]\n  10 [size=\"119695360\", alpha=\"0.02\", expect_size=\"35908608\"] \n  10 -> 13 [size =\"35908608\"]\n  10 -> 14 [size =\"35908608\"]\n  11 [size=\"37659307\", alpha=\"0.08\", expect_size=\"11297792\"] \n  11 -> 12 [size =\"11297792\"]\n  11 -> 13 [size =\"11297792\"]\n  12 [size=\"121408853\", alpha=\"0.07\", expect_size=\"36422656\"] \n  12 -> 15 [size =\"36422656\"]\n  13 [size=\"66542933\", alpha=\"0.09\", expect_size=\"19962880\"] \n  13 -> 15 [size =\"19962880\"]\n  13 -> 16 [size =\"19962880\"]\n  13 -> 18 [size =\"19962880\"]\n  14 [size=\"97945600\", alpha=\"0.19\", expect_size=\"29383680\"] \n  14 -> 15 [size =\"29383680\"]\n  14 -> 16 [size =\"29383680\"]\n  14 -> 17 [size =\"29383680\"]\n  15 [size=\"170895360\", alpha=\"0.08\", expect_size=\"51268608\"] \n  15 -> 20 [size =\"51268608\"]\n  15 -> 21 [size =\"51268608\"]\n  16 [size=\"92549120\", alpha=\"0.09\", expect_size=\"27764736\"] \n  16 -> 19 [size =\"27764736\"]\n  17 [size=\"156822187\", alpha=\"0.19\", expect_size=\"47046656\"] \n  18 [size=\"142465707\", alpha=\"0.12\", expect_size=\"42739712\"] \n  19 [size=\"65795413\", alpha=\"0.10\", expect_size=\"19738624\"] \n  20 [size=\"46523733\", alpha=\"0.17\", expect_size=\"13957120\"] \n  20 -> 22 [size =\"13957120\"]\n  20 -> 23 [size =\"13957120\"]\n  21 [size=\"65003520\", alpha=\"0.08\", expect_size=\"19501056\"] \n  21 -> 23 [size =\"19501056\"]\n  22 [size=\"125552640\", alpha=\"0.14\", expect_size=\"37665792\"] \n  22 -> 25 [size =\"37665792\"]\n  23 [size=\"23654400\", alpha=\"0.07\", expect_size=\"7096320\"] \n  23 -> 24 [size =\"7096320\"]\n  23 -> 25 [size =\"7096320\"]\n  24 [size=\"92282880\", alpha=\"0.20\", expect_size=\"27684864\"] \n  25 [size=\"84012373\", alpha=\"0.15\", expect_size=\"25203712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48686080\", alpha=\"0.18\", expect_size=\"19474432\"] \n  1 -> 18 [size =\"19474432\"]\n  1 -> 23 [size =\"19474432\"]\n  1 -> 25 [size =\"19474432\"]\n  2 [size=\"121776640\", alpha=\"0.01\", expect_size=\"48710656\"] \n  2 -> 15 [size =\"48710656\"]\n  2 -> 16 [size =\"48710656\"]\n  2 -> 18 [size =\"48710656\"]\n  2 -> 19 [size =\"48710656\"]\n  2 -> 22 [size =\"48710656\"]\n  3 [size=\"111690240\", alpha=\"0.01\", expect_size=\"44676096\"] \n  3 -> 16 [size =\"44676096\"]\n  3 -> 18 [size =\"44676096\"]\n  3 -> 19 [size =\"44676096\"]\n  4 [size=\"15723520\", alpha=\"0.05\", expect_size=\"6289408\"] \n  4 -> 19 [size =\"6289408\"]\n  5 [size=\"112821760\", alpha=\"0.11\", expect_size=\"45128704\"] \n  5 -> 15 [size =\"45128704\"]\n  5 -> 16 [size =\"45128704\"]\n  5 -> 20 [size =\"45128704\"]\n  5 -> 23 [size =\"45128704\"]\n  5 -> 24 [size =\"45128704\"]\n  6 [size=\"80394240\", alpha=\"0.06\", expect_size=\"32157696\"] \n  6 -> 16 [size =\"32157696\"]\n  6 -> 17 [size =\"32157696\"]\n  6 -> 19 [size =\"32157696\"]\n  6 -> 23 [size =\"32157696\"]\n  7 [size=\"40990720\", alpha=\"0.18\", expect_size=\"16396288\"] \n  7 -> 15 [size =\"16396288\"]\n  7 -> 19 [size =\"16396288\"]\n  7 -> 19 [size =\"16396288\"]\n  7 -> 22 [size =\"16396288\"]\n  8 [size=\"62643200\", alpha=\"0.07\", expect_size=\"25057280\"] \n  8 -> 15 [size =\"25057280\"]\n  8 -> 17 [size =\"25057280\"]\n  8 -> 18 [size =\"25057280\"]\n  8 -> 23 [size =\"25057280\"]\n  9 [size=\"67655680\", alpha=\"0.12\", expect_size=\"27062272\"] \n  9 -> 17 [size =\"27062272\"]\n  9 -> 19 [size =\"27062272\"]\n  9 -> 21 [size =\"27062272\"]\n  9 -> 22 [size =\"27062272\"]\n  9 -> 23 [size =\"27062272\"]\n  10 [size=\"116710400\", alpha=\"0.18\", expect_size=\"46684160\"] \n  10 -> 15 [size =\"46684160\"]\n  10 -> 19 [size =\"46684160\"]\n  10 -> 20 [size =\"46684160\"]\n  10 -> 22 [size =\"46684160\"]\n  11 [size=\"84014080\", alpha=\"0.09\", expect_size=\"33605632\"] \n  11 -> 16 [size =\"33605632\"]\n  11 -> 19 [size =\"33605632\"]\n  11 -> 20 [size =\"33605632\"]\n  11 -> 25 [size =\"33605632\"]\n  12 [size=\"70932480\", alpha=\"0.08\", expect_size=\"28372992\"] \n  12 -> 20 [size =\"28372992\"]\n  12 -> 22 [size =\"28372992\"]\n  12 -> 23 [size =\"28372992\"]\n  12 -> 25 [size =\"28372992\"]\n  13 [size=\"79403520\", alpha=\"0.07\", expect_size=\"31761408\"] \n  13 -> 15 [size =\"31761408\"]\n  13 -> 17 [size =\"31761408\"]\n  14 [size=\"85921280\", alpha=\"0.12\", expect_size=\"34368512\"] \n  15 [size=\"116487680\", alpha=\"0.02\", expect_size=\"46595072\"] \n  16 [size=\"65515520\", alpha=\"0.00\", expect_size=\"26206208\"] \n  17 [size=\"100111360\", alpha=\"0.12\", expect_size=\"40044544\"] \n  18 [size=\"89981440\", alpha=\"0.02\", expect_size=\"35992576\"] \n  19 [size=\"16235520\", alpha=\"0.09\", expect_size=\"6494208\"] \n  20 [size=\"87298560\", alpha=\"0.18\", expect_size=\"34919424\"] \n  21 [size=\"78353920\", alpha=\"0.12\", expect_size=\"31341568\"] \n  22 [size=\"129159680\", alpha=\"0.05\", expect_size=\"51663872\"] \n  23 [size=\"57717760\", alpha=\"0.15\", expect_size=\"23087104\"] \n  24 [size=\"97016320\", alpha=\"0.05\", expect_size=\"38806528\"] \n  25 [size=\"50452480\", alpha=\"0.12\", expect_size=\"20180992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82882560\", alpha=\"0.02\", expect_size=\"24864768\"] \n  1 -> 2 [size =\"24864768\"]\n  1 -> 3 [size =\"24864768\"]\n  2 [size=\"60876800\", alpha=\"0.17\", expect_size=\"18263040\"] \n  2 -> 5 [size =\"18263040\"]\n  3 [size=\"44741973\", alpha=\"0.03\", expect_size=\"13422592\"] \n  3 -> 4 [size =\"13422592\"]\n  4 [size=\"165485227\", alpha=\"0.17\", expect_size=\"49645568\"] \n  4 -> 6 [size =\"49645568\"]\n  4 -> 7 [size =\"49645568\"]\n  5 [size=\"56313173\", alpha=\"0.09\", expect_size=\"16893952\"] \n  6 [size=\"117131947\", alpha=\"0.00\", expect_size=\"35139584\"] \n  7 [size=\"101628587\", alpha=\"0.15\", expect_size=\"30488576\"] \n  7 -> 8 [size =\"30488576\"]\n  7 -> 9 [size =\"30488576\"]\n  8 [size=\"79001600\", alpha=\"0.18\", expect_size=\"23700480\"] \n  9 [size=\"69324800\", alpha=\"0.10\", expect_size=\"20797440\"] \n  9 -> 10 [size =\"20797440\"]\n  9 -> 11 [size =\"20797440\"]\n  10 [size=\"43516587\", alpha=\"0.07\", expect_size=\"13054976\"] \n  11 [size=\"171898880\", alpha=\"0.15\", expect_size=\"51569664\"] \n  11 -> 12 [size =\"51569664\"]\n  12 [size=\"27825493\", alpha=\"0.17\", expect_size=\"8347648\"] \n  12 -> 13 [size =\"8347648\"]\n  13 [size=\"163563520\", alpha=\"0.03\", expect_size=\"49069056\"] \n  13 -> 14 [size =\"49069056\"]\n  13 -> 15 [size =\"49069056\"]\n  14 [size=\"28330667\", alpha=\"0.09\", expect_size=\"8499200\"] \n  15 [size=\"162877440\", alpha=\"0.14\", expect_size=\"48863232\"] \n  15 -> 16 [size =\"48863232\"]\n  16 [size=\"80148480\", alpha=\"0.00\", expect_size=\"24044544\"] \n  16 -> 17 [size =\"24044544\"]\n  16 -> 18 [size =\"24044544\"]\n  17 [size=\"82756267\", alpha=\"0.19\", expect_size=\"24826880\"] \n  17 -> 20 [size =\"24826880\"]\n  18 [size=\"45981013\", alpha=\"0.02\", expect_size=\"13794304\"] \n  18 -> 19 [size =\"13794304\"]\n  19 [size=\"33266347\", alpha=\"0.06\", expect_size=\"9979904\"] \n  20 [size=\"109226667\", alpha=\"0.12\", expect_size=\"32768000\"] \n  20 -> 21 [size =\"32768000\"]\n  21 [size=\"161672533\", alpha=\"0.06\", expect_size=\"48501760\"] \n  21 -> 22 [size =\"48501760\"]\n  21 -> 23 [size =\"48501760\"]\n  22 [size=\"122412373\", alpha=\"0.05\", expect_size=\"36723712\"] \n  22 -> 24 [size =\"36723712\"]\n  22 -> 25 [size =\"36723712\"]\n  23 [size=\"98955947\", alpha=\"0.08\", expect_size=\"29686784\"] \n  24 [size=\"122784427\", alpha=\"0.10\", expect_size=\"36835328\"] \n  25 [size=\"38273707\", alpha=\"0.17\", expect_size=\"11482112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33818624\", alpha=\"0.05\", expect_size=\"16909312\"] \n  1 -> 4 [size =\"16909312\"]\n  1 -> 7 [size =\"16909312\"]\n  1 -> 8 [size =\"16909312\"]\n  2 [size=\"65947648\", alpha=\"0.17\", expect_size=\"32973824\"] \n  2 -> 5 [size =\"32973824\"]\n  2 -> 6 [size =\"32973824\"]\n  3 [size=\"101074944\", alpha=\"0.07\", expect_size=\"50537472\"] \n  3 -> 4 [size =\"50537472\"]\n  3 -> 5 [size =\"50537472\"]\n  3 -> 6 [size =\"50537472\"]\n  3 -> 7 [size =\"50537472\"]\n  3 -> 8 [size =\"50537472\"]\n  4 [size=\"84764672\", alpha=\"0.03\", expect_size=\"42382336\"] \n  5 [size=\"51290112\", alpha=\"0.06\", expect_size=\"25645056\"] \n  6 [size=\"30869504\", alpha=\"0.08\", expect_size=\"15434752\"] \n  7 [size=\"37040128\", alpha=\"0.13\", expect_size=\"18520064\"] \n  7 -> 9 [size =\"18520064\"]\n  7 -> 10 [size =\"18520064\"]\n  8 [size=\"53934080\", alpha=\"0.08\", expect_size=\"26967040\"] \n  8 -> 9 [size =\"26967040\"]\n  8 -> 10 [size =\"26967040\"]\n  9 [size=\"77858816\", alpha=\"0.08\", expect_size=\"38929408\"] \n  9 -> 11 [size =\"38929408\"]\n  9 -> 13 [size =\"38929408\"]\n  9 -> 14 [size =\"38929408\"]\n  9 -> 15 [size =\"38929408\"]\n  10 [size=\"57569280\", alpha=\"0.04\", expect_size=\"28784640\"] \n  10 -> 11 [size =\"28784640\"]\n  10 -> 12 [size =\"28784640\"]\n  10 -> 13 [size =\"28784640\"]\n  10 -> 14 [size =\"28784640\"]\n  11 [size=\"48654336\", alpha=\"0.05\", expect_size=\"24327168\"] \n  12 [size=\"74596352\", alpha=\"0.08\", expect_size=\"37298176\"] \n  13 [size=\"62748672\", alpha=\"0.14\", expect_size=\"31374336\"] \n  14 [size=\"94980096\", alpha=\"0.07\", expect_size=\"47490048\"] \n  14 -> 16 [size =\"47490048\"]\n  14 -> 17 [size =\"47490048\"]\n  15 [size=\"16670720\", alpha=\"0.07\", expect_size=\"8335360\"] \n  15 -> 16 [size =\"8335360\"]\n  16 [size=\"44165120\", alpha=\"0.05\", expect_size=\"22082560\"] \n  16 -> 18 [size =\"22082560\"]\n  16 -> 19 [size =\"22082560\"]\n  16 -> 20 [size =\"22082560\"]\n  16 -> 22 [size =\"22082560\"]\n  17 [size=\"83023872\", alpha=\"0.11\", expect_size=\"41511936\"] \n  17 -> 21 [size =\"41511936\"]\n  18 [size=\"50173952\", alpha=\"0.03\", expect_size=\"25086976\"] \n  18 -> 25 [size =\"25086976\"]\n  19 [size=\"86269952\", alpha=\"0.13\", expect_size=\"43134976\"] \n  19 -> 25 [size =\"43134976\"]\n  20 [size=\"28950528\", alpha=\"0.05\", expect_size=\"14475264\"] \n  21 [size=\"47304704\", alpha=\"0.02\", expect_size=\"23652352\"] \n  21 -> 23 [size =\"23652352\"]\n  22 [size=\"70789120\", alpha=\"0.11\", expect_size=\"35394560\"] \n  22 -> 24 [size =\"35394560\"]\n  22 -> 25 [size =\"35394560\"]\n  23 [size=\"15527936\", alpha=\"0.19\", expect_size=\"7763968\"] \n  24 [size=\"83562496\", alpha=\"0.03\", expect_size=\"41781248\"] \n  25 [size=\"21454848\", alpha=\"0.16\", expect_size=\"10727424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101125120\", alpha=\"0.08\", expect_size=\"40450048\"] \n  1 -> 2 [size =\"40450048\"]\n  1 -> 3 [size =\"40450048\"]\n  2 [size=\"26058240\", alpha=\"0.17\", expect_size=\"10423296\"] \n  2 -> 4 [size =\"10423296\"]\n  3 [size=\"98736640\", alpha=\"0.11\", expect_size=\"39494656\"] \n  4 [size=\"87267840\", alpha=\"0.02\", expect_size=\"34907136\"] \n  4 -> 5 [size =\"34907136\"]\n  5 [size=\"24399360\", alpha=\"0.04\", expect_size=\"9759744\"] \n  5 -> 6 [size =\"9759744\"]\n  5 -> 7 [size =\"9759744\"]\n  6 [size=\"74112000\", alpha=\"0.19\", expect_size=\"29644800\"] \n  7 [size=\"88634880\", alpha=\"0.02\", expect_size=\"35453952\"] \n  7 -> 8 [size =\"35453952\"]\n  7 -> 9 [size =\"35453952\"]\n  8 [size=\"81441280\", alpha=\"0.12\", expect_size=\"32576512\"] \n  8 -> 10 [size =\"32576512\"]\n  9 [size=\"101608960\", alpha=\"0.08\", expect_size=\"40643584\"] \n  10 [size=\"13560320\", alpha=\"0.10\", expect_size=\"5424128\"] \n  10 -> 11 [size =\"5424128\"]\n  11 [size=\"78241280\", alpha=\"0.04\", expect_size=\"31296512\"] \n  11 -> 12 [size =\"31296512\"]\n  12 [size=\"124257280\", alpha=\"0.06\", expect_size=\"49702912\"] \n  12 -> 13 [size =\"49702912\"]\n  12 -> 14 [size =\"49702912\"]\n  13 [size=\"107694080\", alpha=\"0.20\", expect_size=\"43077632\"] \n  14 [size=\"52195840\", alpha=\"0.15\", expect_size=\"20878336\"] \n  14 -> 15 [size =\"20878336\"]\n  14 -> 16 [size =\"20878336\"]\n  15 [size=\"63851520\", alpha=\"0.03\", expect_size=\"25540608\"] \n  15 -> 17 [size =\"25540608\"]\n  16 [size=\"88778240\", alpha=\"0.11\", expect_size=\"35511296\"] \n  17 [size=\"83038720\", alpha=\"0.06\", expect_size=\"33215488\"] \n  17 -> 18 [size =\"33215488\"]\n  18 [size=\"96314880\", alpha=\"0.13\", expect_size=\"38525952\"] \n  18 -> 19 [size =\"38525952\"]\n  19 [size=\"48768000\", alpha=\"0.01\", expect_size=\"19507200\"] \n  19 -> 20 [size =\"19507200\"]\n  19 -> 21 [size =\"19507200\"]\n  20 [size=\"93670400\", alpha=\"0.12\", expect_size=\"37468160\"] \n  21 [size=\"37393920\", alpha=\"0.18\", expect_size=\"14957568\"] \n  21 -> 22 [size =\"14957568\"]\n  22 [size=\"58234880\", alpha=\"0.06\", expect_size=\"23293952\"] \n  22 -> 23 [size =\"23293952\"]\n  23 [size=\"93946880\", alpha=\"0.08\", expect_size=\"37578752\"] \n  23 -> 24 [size =\"37578752\"]\n  24 [size=\"93785600\", alpha=\"0.03\", expect_size=\"37514240\"] \n  24 -> 25 [size =\"37514240\"]\n  25 [size=\"61849600\", alpha=\"0.00\", expect_size=\"24739840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29857792\", alpha=\"0.19\", expect_size=\"14928896\"] \n  1 -> 2 [size =\"14928896\"]\n  2 [size=\"89636864\", alpha=\"0.07\", expect_size=\"44818432\"] \n  2 -> 3 [size =\"44818432\"]\n  3 [size=\"60286976\", alpha=\"0.12\", expect_size=\"30143488\"] \n  3 -> 4 [size =\"30143488\"]\n  4 [size=\"66709504\", alpha=\"0.06\", expect_size=\"33354752\"] \n  4 -> 5 [size =\"33354752\"]\n  5 [size=\"100036608\", alpha=\"0.02\", expect_size=\"50018304\"] \n  5 -> 6 [size =\"50018304\"]\n  6 [size=\"64012288\", alpha=\"0.08\", expect_size=\"32006144\"] \n  6 -> 7 [size =\"32006144\"]\n  7 [size=\"62676992\", alpha=\"0.14\", expect_size=\"31338496\"] \n  7 -> 8 [size =\"31338496\"]\n  8 [size=\"33241088\", alpha=\"0.17\", expect_size=\"16620544\"] \n  8 -> 9 [size =\"16620544\"]\n  9 [size=\"28858368\", alpha=\"0.04\", expect_size=\"14429184\"] \n  9 -> 10 [size =\"14429184\"]\n  10 [size=\"78094336\", alpha=\"0.02\", expect_size=\"39047168\"] \n  10 -> 11 [size =\"39047168\"]\n  11 [size=\"63676416\", alpha=\"0.05\", expect_size=\"31838208\"] \n  11 -> 12 [size =\"31838208\"]\n  12 [size=\"59453440\", alpha=\"0.13\", expect_size=\"29726720\"] \n  12 -> 13 [size =\"29726720\"]\n  13 [size=\"94654464\", alpha=\"0.01\", expect_size=\"47327232\"] \n  13 -> 14 [size =\"47327232\"]\n  14 [size=\"56875008\", alpha=\"0.07\", expect_size=\"28437504\"] \n  14 -> 15 [size =\"28437504\"]\n  15 [size=\"84412416\", alpha=\"0.01\", expect_size=\"42206208\"] \n  15 -> 16 [size =\"42206208\"]\n  16 [size=\"91619328\", alpha=\"0.18\", expect_size=\"45809664\"] \n  16 -> 17 [size =\"45809664\"]\n  17 [size=\"34914304\", alpha=\"0.18\", expect_size=\"17457152\"] \n  17 -> 18 [size =\"17457152\"]\n  18 [size=\"99387392\", alpha=\"0.09\", expect_size=\"49693696\"] \n  18 -> 19 [size =\"49693696\"]\n  19 [size=\"87498752\", alpha=\"0.01\", expect_size=\"43749376\"] \n  19 -> 20 [size =\"43749376\"]\n  20 [size=\"11610112\", alpha=\"0.04\", expect_size=\"5805056\"] \n  20 -> 21 [size =\"5805056\"]\n  21 [size=\"20230144\", alpha=\"0.11\", expect_size=\"10115072\"] \n  21 -> 22 [size =\"10115072\"]\n  22 [size=\"42723328\", alpha=\"0.15\", expect_size=\"21361664\"] \n  22 -> 23 [size =\"21361664\"]\n  23 [size=\"102486016\", alpha=\"0.09\", expect_size=\"51243008\"] \n  23 -> 24 [size =\"51243008\"]\n  24 [size=\"13281280\", alpha=\"0.15\", expect_size=\"6640640\"] \n  24 -> 25 [size =\"6640640\"]\n  25 [size=\"45019136\", alpha=\"0.00\", expect_size=\"22509568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66928640\", alpha=\"0.14\", expect_size=\"33464320\"] \n  1 -> 3 [size =\"33464320\"]\n  1 -> 4 [size =\"33464320\"]\n  2 [size=\"88715264\", alpha=\"0.19\", expect_size=\"44357632\"] \n  2 -> 4 [size =\"44357632\"]\n  3 [size=\"68714496\", alpha=\"0.13\", expect_size=\"34357248\"] \n  3 -> 5 [size =\"34357248\"]\n  3 -> 6 [size =\"34357248\"]\n  4 [size=\"85112832\", alpha=\"0.11\", expect_size=\"42556416\"] \n  4 -> 5 [size =\"42556416\"]\n  4 -> 6 [size =\"42556416\"]\n  5 [size=\"88602624\", alpha=\"0.10\", expect_size=\"44301312\"] \n  5 -> 7 [size =\"44301312\"]\n  5 -> 8 [size =\"44301312\"]\n  6 [size=\"18345984\", alpha=\"0.07\", expect_size=\"9172992\"] \n  6 -> 7 [size =\"9172992\"]\n  6 -> 8 [size =\"9172992\"]\n  7 [size=\"96497664\", alpha=\"0.12\", expect_size=\"48248832\"] \n  7 -> 9 [size =\"48248832\"]\n  8 [size=\"14348288\", alpha=\"0.12\", expect_size=\"7174144\"] \n  8 -> 9 [size =\"7174144\"]\n  9 [size=\"98404352\", alpha=\"0.05\", expect_size=\"49202176\"] \n  9 -> 10 [size =\"49202176\"]\n  10 [size=\"64540672\", alpha=\"0.00\", expect_size=\"32270336\"] \n  10 -> 11 [size =\"32270336\"]\n  11 [size=\"89190400\", alpha=\"0.08\", expect_size=\"44595200\"] \n  11 -> 12 [size =\"44595200\"]\n  12 [size=\"62068736\", alpha=\"0.16\", expect_size=\"31034368\"] \n  12 -> 13 [size =\"31034368\"]\n  12 -> 14 [size =\"31034368\"]\n  13 [size=\"58200064\", alpha=\"0.05\", expect_size=\"29100032\"] \n  13 -> 16 [size =\"29100032\"]\n  14 [size=\"23218176\", alpha=\"0.18\", expect_size=\"11609088\"] \n  14 -> 15 [size =\"11609088\"]\n  14 -> 16 [size =\"11609088\"]\n  15 [size=\"75788288\", alpha=\"0.18\", expect_size=\"37894144\"] \n  15 -> 18 [size =\"37894144\"]\n  16 [size=\"29726720\", alpha=\"0.16\", expect_size=\"14863360\"] \n  16 -> 17 [size =\"14863360\"]\n  16 -> 18 [size =\"14863360\"]\n  17 [size=\"64000000\", alpha=\"0.09\", expect_size=\"32000000\"] \n  17 -> 19 [size =\"32000000\"]\n  17 -> 20 [size =\"32000000\"]\n  18 [size=\"25260032\", alpha=\"0.02\", expect_size=\"12630016\"] \n  18 -> 19 [size =\"12630016\"]\n  18 -> 20 [size =\"12630016\"]\n  19 [size=\"82595840\", alpha=\"0.12\", expect_size=\"41297920\"] \n  19 -> 21 [size =\"41297920\"]\n  19 -> 22 [size =\"41297920\"]\n  20 [size=\"12048384\", alpha=\"0.17\", expect_size=\"6024192\"] \n  20 -> 21 [size =\"6024192\"]\n  20 -> 22 [size =\"6024192\"]\n  21 [size=\"14219264\", alpha=\"0.14\", expect_size=\"7109632\"] \n  21 -> 23 [size =\"7109632\"]\n  21 -> 24 [size =\"7109632\"]\n  22 [size=\"51900416\", alpha=\"0.07\", expect_size=\"25950208\"] \n  22 -> 24 [size =\"25950208\"]\n  23 [size=\"33181696\", alpha=\"0.13\", expect_size=\"16590848\"] \n  23 -> 25 [size =\"16590848\"]\n  24 [size=\"55148544\", alpha=\"0.15\", expect_size=\"27574272\"] \n  24 -> 25 [size =\"27574272\"]\n  25 [size=\"44521472\", alpha=\"0.13\", expect_size=\"22260736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53724160\", alpha=\"0.01\", expect_size=\"21489664\"] \n  1 -> 7 [size =\"21489664\"]\n  1 -> 8 [size =\"21489664\"]\n  1 -> 10 [size =\"21489664\"]\n  1 -> 11 [size =\"21489664\"]\n  1 -> 12 [size =\"21489664\"]\n  2 [size=\"47541760\", alpha=\"0.10\", expect_size=\"19016704\"] \n  2 -> 7 [size =\"19016704\"]\n  2 -> 9 [size =\"19016704\"]\n  2 -> 11 [size =\"19016704\"]\n  3 [size=\"125196800\", alpha=\"0.09\", expect_size=\"50078720\"] \n  3 -> 9 [size =\"50078720\"]\n  4 [size=\"81827840\", alpha=\"0.15\", expect_size=\"32731136\"] \n  5 [size=\"73960960\", alpha=\"0.15\", expect_size=\"29584384\"] \n  5 -> 11 [size =\"29584384\"]\n  5 -> 12 [size =\"29584384\"]\n  5 -> 13 [size =\"29584384\"]\n  5 -> 14 [size =\"29584384\"]\n  5 -> 15 [size =\"29584384\"]\n  6 [size=\"38248960\", alpha=\"0.12\", expect_size=\"15299584\"] \n  6 -> 7 [size =\"15299584\"]\n  6 -> 10 [size =\"15299584\"]\n  7 [size=\"39316480\", alpha=\"0.17\", expect_size=\"15726592\"] \n  7 -> 16 [size =\"15726592\"]\n  7 -> 18 [size =\"15726592\"]\n  7 -> 19 [size =\"15726592\"]\n  7 -> 22 [size =\"15726592\"]\n  7 -> 24 [size =\"15726592\"]\n  8 [size=\"101017600\", alpha=\"0.19\", expect_size=\"40407040\"] \n  8 -> 20 [size =\"40407040\"]\n  8 -> 22 [size =\"40407040\"]\n  8 -> 23 [size =\"40407040\"]\n  8 -> 24 [size =\"40407040\"]\n  8 -> 25 [size =\"40407040\"]\n  9 [size=\"97113600\", alpha=\"0.02\", expect_size=\"38845440\"] \n  9 -> 18 [size =\"38845440\"]\n  9 -> 22 [size =\"38845440\"]\n  9 -> 24 [size =\"38845440\"]\n  9 -> 25 [size =\"38845440\"]\n  9 -> 25 [size =\"38845440\"]\n  10 [size=\"108216320\", alpha=\"0.16\", expect_size=\"43286528\"] \n  10 -> 17 [size =\"43286528\"]\n  10 -> 21 [size =\"43286528\"]\n  10 -> 22 [size =\"43286528\"]\n  10 -> 23 [size =\"43286528\"]\n  10 -> 24 [size =\"43286528\"]\n  11 [size=\"99988480\", alpha=\"0.18\", expect_size=\"39995392\"] \n  11 -> 17 [size =\"39995392\"]\n  12 [size=\"107914240\", alpha=\"0.10\", expect_size=\"43165696\"] \n  12 -> 19 [size =\"43165696\"]\n  12 -> 25 [size =\"43165696\"]\n  13 [size=\"48555520\", alpha=\"0.03\", expect_size=\"19422208\"] \n  13 -> 19 [size =\"19422208\"]\n  13 -> 20 [size =\"19422208\"]\n  13 -> 22 [size =\"19422208\"]\n  13 -> 23 [size =\"19422208\"]\n  13 -> 25 [size =\"19422208\"]\n  14 [size=\"102707200\", alpha=\"0.01\", expect_size=\"41082880\"] \n  14 -> 17 [size =\"41082880\"]\n  14 -> 18 [size =\"41082880\"]\n  14 -> 19 [size =\"41082880\"]\n  14 -> 20 [size =\"41082880\"]\n  14 -> 25 [size =\"41082880\"]\n  15 [size=\"71715840\", alpha=\"0.05\", expect_size=\"28686336\"] \n  15 -> 17 [size =\"28686336\"]\n  15 -> 19 [size =\"28686336\"]\n  15 -> 19 [size =\"28686336\"]\n  15 -> 22 [size =\"28686336\"]\n  15 -> 23 [size =\"28686336\"]\n  15 -> 24 [size =\"28686336\"]\n  16 [size=\"40181760\", alpha=\"0.10\", expect_size=\"16072704\"] \n  17 [size=\"110215680\", alpha=\"0.16\", expect_size=\"44086272\"] \n  18 [size=\"93675520\", alpha=\"0.09\", expect_size=\"37470208\"] \n  19 [size=\"89303040\", alpha=\"0.03\", expect_size=\"35721216\"] \n  20 [size=\"103915520\", alpha=\"0.19\", expect_size=\"41566208\"] \n  21 [size=\"80207360\", alpha=\"0.02\", expect_size=\"32082944\"] \n  22 [size=\"67353600\", alpha=\"0.11\", expect_size=\"26941440\"] \n  23 [size=\"125944320\", alpha=\"0.19\", expect_size=\"50377728\"] \n  24 [size=\"26608640\", alpha=\"0.19\", expect_size=\"10643456\"] \n  25 [size=\"30082560\", alpha=\"0.09\", expect_size=\"12033024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23987200\", alpha=\"0.15\", expect_size=\"9594880\"] \n  1 -> 2 [size =\"9594880\"]\n  2 [size=\"51107840\", alpha=\"0.02\", expect_size=\"20443136\"] \n  2 -> 3 [size =\"20443136\"]\n  3 [size=\"36060160\", alpha=\"0.17\", expect_size=\"14424064\"] \n  3 -> 4 [size =\"14424064\"]\n  4 [size=\"23923200\", alpha=\"0.05\", expect_size=\"9569280\"] \n  4 -> 5 [size =\"9569280\"]\n  5 [size=\"16053760\", alpha=\"0.15\", expect_size=\"6421504\"] \n  5 -> 6 [size =\"6421504\"]\n  5 -> 7 [size =\"6421504\"]\n  6 [size=\"19980800\", alpha=\"0.04\", expect_size=\"7992320\"] \n  6 -> 8 [size =\"7992320\"]\n  6 -> 9 [size =\"7992320\"]\n  7 [size=\"79697920\", alpha=\"0.08\", expect_size=\"31879168\"] \n  7 -> 8 [size =\"31879168\"]\n  7 -> 9 [size =\"31879168\"]\n  8 [size=\"92055040\", alpha=\"0.11\", expect_size=\"36822016\"] \n  8 -> 10 [size =\"36822016\"]\n  9 [size=\"124997120\", alpha=\"0.01\", expect_size=\"49998848\"] \n  9 -> 10 [size =\"49998848\"]\n  10 [size=\"91527680\", alpha=\"0.13\", expect_size=\"36611072\"] \n  10 -> 11 [size =\"36611072\"]\n  11 [size=\"62771200\", alpha=\"0.13\", expect_size=\"25108480\"] \n  11 -> 12 [size =\"25108480\"]\n  11 -> 13 [size =\"25108480\"]\n  12 [size=\"31211520\", alpha=\"0.08\", expect_size=\"12484608\"] \n  12 -> 14 [size =\"12484608\"]\n  13 [size=\"42408960\", alpha=\"0.09\", expect_size=\"16963584\"] \n  14 [size=\"27532800\", alpha=\"0.17\", expect_size=\"11013120\"] \n  14 -> 15 [size =\"11013120\"]\n  15 [size=\"55987200\", alpha=\"0.11\", expect_size=\"22394880\"] \n  15 -> 16 [size =\"22394880\"]\n  16 [size=\"25351680\", alpha=\"0.14\", expect_size=\"10140672\"] \n  16 -> 17 [size =\"10140672\"]\n  17 [size=\"48668160\", alpha=\"0.08\", expect_size=\"19467264\"] \n  17 -> 18 [size =\"19467264\"]\n  17 -> 19 [size =\"19467264\"]\n  18 [size=\"94673920\", alpha=\"0.14\", expect_size=\"37869568\"] \n  18 -> 20 [size =\"37869568\"]\n  18 -> 21 [size =\"37869568\"]\n  19 [size=\"43486720\", alpha=\"0.08\", expect_size=\"17394688\"] \n  19 -> 20 [size =\"17394688\"]\n  20 [size=\"47744000\", alpha=\"0.00\", expect_size=\"19097600\"] \n  20 -> 22 [size =\"19097600\"]\n  21 [size=\"122076160\", alpha=\"0.14\", expect_size=\"48830464\"] \n  21 -> 22 [size =\"48830464\"]\n  21 -> 23 [size =\"48830464\"]\n  22 [size=\"83136000\", alpha=\"0.15\", expect_size=\"33254400\"] \n  22 -> 24 [size =\"33254400\"]\n  22 -> 25 [size =\"33254400\"]\n  23 [size=\"130424320\", alpha=\"0.19\", expect_size=\"52169728\"] \n  24 [size=\"66667520\", alpha=\"0.06\", expect_size=\"26667008\"] \n  25 [size=\"46167040\", alpha=\"0.12\", expect_size=\"18466816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52708693\", alpha=\"0.04\", expect_size=\"15812608\"] \n  1 -> 4 [size =\"15812608\"]\n  1 -> 5 [size =\"15812608\"]\n  2 [size=\"35222187\", alpha=\"0.12\", expect_size=\"10566656\"] \n  2 -> 3 [size =\"10566656\"]\n  2 -> 4 [size =\"10566656\"]\n  3 [size=\"129307307\", alpha=\"0.19\", expect_size=\"38792192\"] \n  3 -> 7 [size =\"38792192\"]\n  3 -> 8 [size =\"38792192\"]\n  4 [size=\"64392533\", alpha=\"0.18\", expect_size=\"19317760\"] \n  4 -> 6 [size =\"19317760\"]\n  4 -> 7 [size =\"19317760\"]\n  4 -> 9 [size =\"19317760\"]\n  5 [size=\"79305387\", alpha=\"0.13\", expect_size=\"23791616\"] \n  5 -> 6 [size =\"23791616\"]\n  6 [size=\"152081067\", alpha=\"0.11\", expect_size=\"45624320\"] \n  6 -> 10 [size =\"45624320\"]\n  7 [size=\"67058347\", alpha=\"0.01\", expect_size=\"20117504\"] \n  7 -> 10 [size =\"20117504\"]\n  8 [size=\"79510187\", alpha=\"0.03\", expect_size=\"23853056\"] \n  9 [size=\"131348480\", alpha=\"0.05\", expect_size=\"39404544\"] \n  9 -> 11 [size =\"39404544\"]\n  9 -> 12 [size =\"39404544\"]\n  10 [size=\"104680107\", alpha=\"0.20\", expect_size=\"31404032\"] \n  10 -> 14 [size =\"31404032\"]\n  11 [size=\"71386453\", alpha=\"0.06\", expect_size=\"21415936\"] \n  11 -> 13 [size =\"21415936\"]\n  11 -> 15 [size =\"21415936\"]\n  12 [size=\"103161173\", alpha=\"0.19\", expect_size=\"30948352\"] \n  12 -> 13 [size =\"30948352\"]\n  12 -> 15 [size =\"30948352\"]\n  12 -> 16 [size =\"30948352\"]\n  13 [size=\"37396480\", alpha=\"0.17\", expect_size=\"11218944\"] \n  13 -> 19 [size =\"11218944\"]\n  14 [size=\"32218453\", alpha=\"0.07\", expect_size=\"9665536\"] \n  15 [size=\"169885013\", alpha=\"0.05\", expect_size=\"50965504\"] \n  15 -> 17 [size =\"50965504\"]\n  15 -> 18 [size =\"50965504\"]\n  16 [size=\"114947413\", alpha=\"0.09\", expect_size=\"34484224\"] \n  16 -> 19 [size =\"34484224\"]\n  17 [size=\"41683627\", alpha=\"0.09\", expect_size=\"12505088\"] \n  17 -> 21 [size =\"12505088\"]\n  17 -> 23 [size =\"12505088\"]\n  18 [size=\"53029547\", alpha=\"0.15\", expect_size=\"15908864\"] \n  18 -> 20 [size =\"15908864\"]\n  19 [size=\"72891733\", alpha=\"0.13\", expect_size=\"21867520\"] \n  19 -> 22 [size =\"21867520\"]\n  19 -> 23 [size =\"21867520\"]\n  20 [size=\"112653653\", alpha=\"0.01\", expect_size=\"33796096\"] \n  20 -> 24 [size =\"33796096\"]\n  21 [size=\"111247360\", alpha=\"0.13\", expect_size=\"33374208\"] \n  21 -> 24 [size =\"33374208\"]\n  21 -> 25 [size =\"33374208\"]\n  22 [size=\"155743573\", alpha=\"0.08\", expect_size=\"46723072\"] \n  22 -> 25 [size =\"46723072\"]\n  23 [size=\"151736320\", alpha=\"0.17\", expect_size=\"45520896\"] \n  24 [size=\"125603840\", alpha=\"0.11\", expect_size=\"37681152\"] \n  25 [size=\"19647147\", alpha=\"0.14\", expect_size=\"5894144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23896747\", alpha=\"0.16\", expect_size=\"7169024\"] \n  1 -> 11 [size =\"7169024\"]\n  1 -> 12 [size =\"7169024\"]\n  1 -> 15 [size =\"7169024\"]\n  1 -> 16 [size =\"7169024\"]\n  1 -> 17 [size =\"7169024\"]\n  1 -> 18 [size =\"7169024\"]\n  2 [size=\"81872213\", alpha=\"0.19\", expect_size=\"24561664\"] \n  2 -> 12 [size =\"24561664\"]\n  2 -> 13 [size =\"24561664\"]\n  2 -> 18 [size =\"24561664\"]\n  3 [size=\"44462080\", alpha=\"0.07\", expect_size=\"13338624\"] \n  3 -> 12 [size =\"13338624\"]\n  3 -> 13 [size =\"13338624\"]\n  3 -> 15 [size =\"13338624\"]\n  3 -> 17 [size =\"13338624\"]\n  3 -> 18 [size =\"13338624\"]\n  4 [size=\"153207467\", alpha=\"0.01\", expect_size=\"45962240\"] \n  4 -> 12 [size =\"45962240\"]\n  4 -> 13 [size =\"45962240\"]\n  4 -> 15 [size =\"45962240\"]\n  4 -> 18 [size =\"45962240\"]\n  5 [size=\"154398720\", alpha=\"0.17\", expect_size=\"46319616\"] \n  5 -> 13 [size =\"46319616\"]\n  5 -> 13 [size =\"46319616\"]\n  6 [size=\"135362560\", alpha=\"0.13\", expect_size=\"40608768\"] \n  6 -> 13 [size =\"40608768\"]\n  6 -> 16 [size =\"40608768\"]\n  7 [size=\"113728853\", alpha=\"0.20\", expect_size=\"34118656\"] \n  7 -> 14 [size =\"34118656\"]\n  8 [size=\"87978667\", alpha=\"0.10\", expect_size=\"26393600\"] \n  8 -> 12 [size =\"26393600\"]\n  8 -> 15 [size =\"26393600\"]\n  8 -> 17 [size =\"26393600\"]\n  8 -> 18 [size =\"26393600\"]\n  9 [size=\"64477867\", alpha=\"0.05\", expect_size=\"19343360\"] \n  9 -> 16 [size =\"19343360\"]\n  9 -> 17 [size =\"19343360\"]\n  10 [size=\"35481600\", alpha=\"0.12\", expect_size=\"10644480\"] \n  10 -> 11 [size =\"10644480\"]\n  10 -> 15 [size =\"10644480\"]\n  10 -> 16 [size =\"10644480\"]\n  10 -> 17 [size =\"10644480\"]\n  10 -> 18 [size =\"10644480\"]\n  11 [size=\"33532587\", alpha=\"0.12\", expect_size=\"10059776\"] \n  11 -> 19 [size =\"10059776\"]\n  11 -> 22 [size =\"10059776\"]\n  11 -> 25 [size =\"10059776\"]\n  12 [size=\"156320427\", alpha=\"0.15\", expect_size=\"46896128\"] \n  12 -> 22 [size =\"46896128\"]\n  12 -> 23 [size =\"46896128\"]\n  13 [size=\"145902933\", alpha=\"0.14\", expect_size=\"43770880\"] \n  13 -> 19 [size =\"43770880\"]\n  13 -> 20 [size =\"43770880\"]\n  13 -> 21 [size =\"43770880\"]\n  13 -> 22 [size =\"43770880\"]\n  13 -> 23 [size =\"43770880\"]\n  13 -> 24 [size =\"43770880\"]\n  14 [size=\"39806293\", alpha=\"0.04\", expect_size=\"11941888\"] \n  14 -> 19 [size =\"11941888\"]\n  14 -> 20 [size =\"11941888\"]\n  14 -> 23 [size =\"11941888\"]\n  14 -> 24 [size =\"11941888\"]\n  15 [size=\"43745280\", alpha=\"0.12\", expect_size=\"13123584\"] \n  15 -> 20 [size =\"13123584\"]\n  15 -> 22 [size =\"13123584\"]\n  15 -> 23 [size =\"13123584\"]\n  15 -> 24 [size =\"13123584\"]\n  16 [size=\"21760000\", alpha=\"0.04\", expect_size=\"6528000\"] \n  16 -> 19 [size =\"6528000\"]\n  16 -> 20 [size =\"6528000\"]\n  16 -> 21 [size =\"6528000\"]\n  16 -> 22 [size =\"6528000\"]\n  16 -> 24 [size =\"6528000\"]\n  16 -> 25 [size =\"6528000\"]\n  17 [size=\"121835520\", alpha=\"0.05\", expect_size=\"36550656\"] \n  17 -> 19 [size =\"36550656\"]\n  17 -> 20 [size =\"36550656\"]\n  18 [size=\"119640747\", alpha=\"0.20\", expect_size=\"35892224\"] \n  18 -> 19 [size =\"35892224\"]\n  18 -> 22 [size =\"35892224\"]\n  18 -> 24 [size =\"35892224\"]\n  18 -> 25 [size =\"35892224\"]\n  19 [size=\"40639147\", alpha=\"0.15\", expect_size=\"12191744\"] \n  20 [size=\"80691200\", alpha=\"0.06\", expect_size=\"24207360\"] \n  21 [size=\"173393920\", alpha=\"0.18\", expect_size=\"52018176\"] \n  22 [size=\"111445333\", alpha=\"0.18\", expect_size=\"33433600\"] \n  23 [size=\"74492587\", alpha=\"0.02\", expect_size=\"22347776\"] \n  24 [size=\"27678720\", alpha=\"0.02\", expect_size=\"8303616\"] \n  25 [size=\"62440107\", alpha=\"0.01\", expect_size=\"18732032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71193600\", alpha=\"0.18\", expect_size=\"28477440\"] \n  1 -> 2 [size =\"28477440\"]\n  2 [size=\"43340800\", alpha=\"0.00\", expect_size=\"17336320\"] \n  2 -> 3 [size =\"17336320\"]\n  3 [size=\"16217600\", alpha=\"0.15\", expect_size=\"6487040\"] \n  3 -> 4 [size =\"6487040\"]\n  4 [size=\"106519040\", alpha=\"0.13\", expect_size=\"42607616\"] \n  4 -> 5 [size =\"42607616\"]\n  5 [size=\"101624320\", alpha=\"0.09\", expect_size=\"40649728\"] \n  5 -> 6 [size =\"40649728\"]\n  6 [size=\"96752640\", alpha=\"0.08\", expect_size=\"38701056\"] \n  6 -> 7 [size =\"38701056\"]\n  7 [size=\"36692480\", alpha=\"0.12\", expect_size=\"14676992\"] \n  7 -> 8 [size =\"14676992\"]\n  8 [size=\"128010240\", alpha=\"0.18\", expect_size=\"51204096\"] \n  8 -> 9 [size =\"51204096\"]\n  9 [size=\"54064640\", alpha=\"0.19\", expect_size=\"21625856\"] \n  9 -> 10 [size =\"21625856\"]\n  10 [size=\"118766080\", alpha=\"0.11\", expect_size=\"47506432\"] \n  10 -> 11 [size =\"47506432\"]\n  11 [size=\"15426560\", alpha=\"0.15\", expect_size=\"6170624\"] \n  11 -> 12 [size =\"6170624\"]\n  12 [size=\"120007680\", alpha=\"0.05\", expect_size=\"48003072\"] \n  12 -> 13 [size =\"48003072\"]\n  13 [size=\"120491520\", alpha=\"0.09\", expect_size=\"48196608\"] \n  13 -> 14 [size =\"48196608\"]\n  14 [size=\"91054080\", alpha=\"0.06\", expect_size=\"36421632\"] \n  14 -> 15 [size =\"36421632\"]\n  15 [size=\"48939520\", alpha=\"0.11\", expect_size=\"19575808\"] \n  15 -> 16 [size =\"19575808\"]\n  16 [size=\"104788480\", alpha=\"0.00\", expect_size=\"41915392\"] \n  16 -> 17 [size =\"41915392\"]\n  17 [size=\"34583040\", alpha=\"0.13\", expect_size=\"13833216\"] \n  17 -> 18 [size =\"13833216\"]\n  18 [size=\"104570880\", alpha=\"0.03\", expect_size=\"41828352\"] \n  18 -> 19 [size =\"41828352\"]\n  19 [size=\"94382080\", alpha=\"0.17\", expect_size=\"37752832\"] \n  19 -> 20 [size =\"37752832\"]\n  20 [size=\"87815680\", alpha=\"0.11\", expect_size=\"35126272\"] \n  20 -> 21 [size =\"35126272\"]\n  21 [size=\"32916480\", alpha=\"0.16\", expect_size=\"13166592\"] \n  21 -> 22 [size =\"13166592\"]\n  22 [size=\"122688000\", alpha=\"0.06\", expect_size=\"49075200\"] \n  22 -> 23 [size =\"49075200\"]\n  23 [size=\"37061120\", alpha=\"0.16\", expect_size=\"14824448\"] \n  23 -> 24 [size =\"14824448\"]\n  24 [size=\"89262080\", alpha=\"0.02\", expect_size=\"35704832\"] \n  24 -> 25 [size =\"35704832\"]\n  25 [size=\"125706240\", alpha=\"0.03\", expect_size=\"50282496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76179456\", alpha=\"0.05\", expect_size=\"38089728\"] \n  1 -> 2 [size =\"38089728\"]\n  1 -> 3 [size =\"38089728\"]\n  2 [size=\"60149760\", alpha=\"0.03\", expect_size=\"30074880\"] \n  2 -> 4 [size =\"30074880\"]\n  2 -> 5 [size =\"30074880\"]\n  3 [size=\"101728256\", alpha=\"0.12\", expect_size=\"50864128\"] \n  3 -> 4 [size =\"50864128\"]\n  3 -> 5 [size =\"50864128\"]\n  4 [size=\"100870144\", alpha=\"0.16\", expect_size=\"50435072\"] \n  4 -> 6 [size =\"50435072\"]\n  5 [size=\"52975616\", alpha=\"0.05\", expect_size=\"26487808\"] \n  5 -> 6 [size =\"26487808\"]\n  5 -> 7 [size =\"26487808\"]\n  6 [size=\"99164160\", alpha=\"0.02\", expect_size=\"49582080\"] \n  6 -> 8 [size =\"49582080\"]\n  7 [size=\"90574848\", alpha=\"0.09\", expect_size=\"45287424\"] \n  7 -> 8 [size =\"45287424\"]\n  8 [size=\"13625344\", alpha=\"0.18\", expect_size=\"6812672\"] \n  8 -> 9 [size =\"6812672\"]\n  9 [size=\"73363456\", alpha=\"0.13\", expect_size=\"36681728\"] \n  9 -> 10 [size =\"36681728\"]\n  10 [size=\"54441984\", alpha=\"0.06\", expect_size=\"27220992\"] \n  10 -> 11 [size =\"27220992\"]\n  10 -> 12 [size =\"27220992\"]\n  11 [size=\"73379840\", alpha=\"0.04\", expect_size=\"36689920\"] \n  11 -> 13 [size =\"36689920\"]\n  12 [size=\"98707456\", alpha=\"0.17\", expect_size=\"49353728\"] \n  12 -> 13 [size =\"49353728\"]\n  13 [size=\"20137984\", alpha=\"0.04\", expect_size=\"10068992\"] \n  13 -> 14 [size =\"10068992\"]\n  13 -> 15 [size =\"10068992\"]\n  14 [size=\"76343296\", alpha=\"0.17\", expect_size=\"38171648\"] \n  14 -> 16 [size =\"38171648\"]\n  14 -> 17 [size =\"38171648\"]\n  15 [size=\"56725504\", alpha=\"0.20\", expect_size=\"28362752\"] \n  15 -> 16 [size =\"28362752\"]\n  15 -> 17 [size =\"28362752\"]\n  16 [size=\"80605184\", alpha=\"0.02\", expect_size=\"40302592\"] \n  16 -> 18 [size =\"40302592\"]\n  16 -> 19 [size =\"40302592\"]\n  17 [size=\"90726400\", alpha=\"0.06\", expect_size=\"45363200\"] \n  17 -> 19 [size =\"45363200\"]\n  18 [size=\"38277120\", alpha=\"0.10\", expect_size=\"19138560\"] \n  18 -> 20 [size =\"19138560\"]\n  18 -> 21 [size =\"19138560\"]\n  19 [size=\"27772928\", alpha=\"0.08\", expect_size=\"13886464\"] \n  19 -> 20 [size =\"13886464\"]\n  19 -> 21 [size =\"13886464\"]\n  20 [size=\"88858624\", alpha=\"0.12\", expect_size=\"44429312\"] \n  20 -> 22 [size =\"44429312\"]\n  21 [size=\"24922112\", alpha=\"0.09\", expect_size=\"12461056\"] \n  21 -> 22 [size =\"12461056\"]\n  22 [size=\"41463808\", alpha=\"0.18\", expect_size=\"20731904\"] \n  22 -> 23 [size =\"20731904\"]\n  22 -> 24 [size =\"20731904\"]\n  23 [size=\"27772928\", alpha=\"0.05\", expect_size=\"13886464\"] \n  23 -> 25 [size =\"13886464\"]\n  24 [size=\"45889536\", alpha=\"0.12\", expect_size=\"22944768\"] \n  24 -> 25 [size =\"22944768\"]\n  25 [size=\"31057920\", alpha=\"0.08\", expect_size=\"15528960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122938880\", alpha=\"0.18\", expect_size=\"49175552\"] \n  1 -> 11 [size =\"49175552\"]\n  1 -> 13 [size =\"49175552\"]\n  1 -> 14 [size =\"49175552\"]\n  2 [size=\"78499840\", alpha=\"0.16\", expect_size=\"31399936\"] \n  2 -> 9 [size =\"31399936\"]\n  2 -> 11 [size =\"31399936\"]\n  2 -> 14 [size =\"31399936\"]\n  3 [size=\"43072000\", alpha=\"0.02\", expect_size=\"17228800\"] \n  3 -> 8 [size =\"17228800\"]\n  3 -> 10 [size =\"17228800\"]\n  4 [size=\"117729280\", alpha=\"0.12\", expect_size=\"47091712\"] \n  4 -> 8 [size =\"47091712\"]\n  4 -> 9 [size =\"47091712\"]\n  4 -> 12 [size =\"47091712\"]\n  4 -> 13 [size =\"47091712\"]\n  5 [size=\"77998080\", alpha=\"0.03\", expect_size=\"31199232\"] \n  5 -> 8 [size =\"31199232\"]\n  5 -> 9 [size =\"31199232\"]\n  5 -> 11 [size =\"31199232\"]\n  5 -> 13 [size =\"31199232\"]\n  5 -> 14 [size =\"31199232\"]\n  6 [size=\"53032960\", alpha=\"0.15\", expect_size=\"21213184\"] \n  6 -> 9 [size =\"21213184\"]\n  6 -> 12 [size =\"21213184\"]\n  6 -> 13 [size =\"21213184\"]\n  6 -> 14 [size =\"21213184\"]\n  7 [size=\"114347520\", alpha=\"0.11\", expect_size=\"45739008\"] \n  7 -> 8 [size =\"45739008\"]\n  7 -> 11 [size =\"45739008\"]\n  7 -> 14 [size =\"45739008\"]\n  8 [size=\"60139520\", alpha=\"0.03\", expect_size=\"24055808\"] \n  8 -> 18 [size =\"24055808\"]\n  8 -> 19 [size =\"24055808\"]\n  8 -> 20 [size =\"24055808\"]\n  8 -> 22 [size =\"24055808\"]\n  9 [size=\"85470720\", alpha=\"0.09\", expect_size=\"34188288\"] \n  9 -> 15 [size =\"34188288\"]\n  9 -> 16 [size =\"34188288\"]\n  9 -> 18 [size =\"34188288\"]\n  9 -> 20 [size =\"34188288\"]\n  9 -> 21 [size =\"34188288\"]\n  9 -> 22 [size =\"34188288\"]\n  10 [size=\"109184000\", alpha=\"0.18\", expect_size=\"43673600\"] \n  10 -> 15 [size =\"43673600\"]\n  10 -> 16 [size =\"43673600\"]\n  10 -> 20 [size =\"43673600\"]\n  10 -> 20 [size =\"43673600\"]\n  11 [size=\"55265280\", alpha=\"0.04\", expect_size=\"22106112\"] \n  11 -> 15 [size =\"22106112\"]\n  11 -> 20 [size =\"22106112\"]\n  11 -> 22 [size =\"22106112\"]\n  12 [size=\"43356160\", alpha=\"0.15\", expect_size=\"17342464\"] \n  12 -> 16 [size =\"17342464\"]\n  12 -> 17 [size =\"17342464\"]\n  12 -> 19 [size =\"17342464\"]\n  13 [size=\"18964480\", alpha=\"0.06\", expect_size=\"7585792\"] \n  13 -> 15 [size =\"7585792\"]\n  13 -> 19 [size =\"7585792\"]\n  14 [size=\"29724160\", alpha=\"0.09\", expect_size=\"11889664\"] \n  14 -> 16 [size =\"11889664\"]\n  14 -> 18 [size =\"11889664\"]\n  14 -> 19 [size =\"11889664\"]\n  14 -> 21 [size =\"11889664\"]\n  15 [size=\"101324800\", alpha=\"0.07\", expect_size=\"40529920\"] \n  15 -> 23 [size =\"40529920\"]\n  16 [size=\"117780480\", alpha=\"0.03\", expect_size=\"47112192\"] \n  16 -> 23 [size =\"47112192\"]\n  16 -> 24 [size =\"47112192\"]\n  17 [size=\"89221120\", alpha=\"0.04\", expect_size=\"35688448\"] \n  17 -> 23 [size =\"35688448\"]\n  18 [size=\"34204160\", alpha=\"0.05\", expect_size=\"13681664\"] \n  19 [size=\"52879360\", alpha=\"0.00\", expect_size=\"21151744\"] \n  20 [size=\"106682880\", alpha=\"0.02\", expect_size=\"42673152\"] \n  20 -> 24 [size =\"42673152\"]\n  21 [size=\"96151040\", alpha=\"0.02\", expect_size=\"38460416\"] \n  21 -> 23 [size =\"38460416\"]\n  21 -> 24 [size =\"38460416\"]\n  21 -> 25 [size =\"38460416\"]\n  22 [size=\"117836800\", alpha=\"0.12\", expect_size=\"47134720\"] \n  22 -> 23 [size =\"47134720\"]\n  23 [size=\"86330880\", alpha=\"0.08\", expect_size=\"34532352\"] \n  24 [size=\"122672640\", alpha=\"0.02\", expect_size=\"49069056\"] \n  25 [size=\"58762240\", alpha=\"0.07\", expect_size=\"23504896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16424960\", alpha=\"0.06\", expect_size=\"8212480\"] \n  1 -> 24 [size =\"8212480\"]\n  2 [size=\"78268416\", alpha=\"0.03\", expect_size=\"39134208\"] \n  2 -> 18 [size =\"39134208\"]\n  2 -> 25 [size =\"39134208\"]\n  3 [size=\"73172992\", alpha=\"0.16\", expect_size=\"36586496\"] \n  3 -> 18 [size =\"36586496\"]\n  3 -> 25 [size =\"36586496\"]\n  4 [size=\"95784960\", alpha=\"0.20\", expect_size=\"47892480\"] \n  4 -> 18 [size =\"47892480\"]\n  4 -> 20 [size =\"47892480\"]\n  5 [size=\"70813696\", alpha=\"0.18\", expect_size=\"35406848\"] \n  5 -> 19 [size =\"35406848\"]\n  5 -> 22 [size =\"35406848\"]\n  5 -> 23 [size =\"35406848\"]\n  6 [size=\"96118784\", alpha=\"0.13\", expect_size=\"48059392\"] \n  6 -> 20 [size =\"48059392\"]\n  6 -> 22 [size =\"48059392\"]\n  6 -> 23 [size =\"48059392\"]\n  6 -> 25 [size =\"48059392\"]\n  7 [size=\"101703680\", alpha=\"0.06\", expect_size=\"50851840\"] \n  7 -> 20 [size =\"50851840\"]\n  7 -> 21 [size =\"50851840\"]\n  7 -> 25 [size =\"50851840\"]\n  8 [size=\"87779328\", alpha=\"0.07\", expect_size=\"43889664\"] \n  8 -> 21 [size =\"43889664\"]\n  9 [size=\"56485888\", alpha=\"0.06\", expect_size=\"28242944\"] \n  9 -> 18 [size =\"28242944\"]\n  9 -> 20 [size =\"28242944\"]\n  9 -> 21 [size =\"28242944\"]\n  9 -> 22 [size =\"28242944\"]\n  9 -> 25 [size =\"28242944\"]\n  10 [size=\"95338496\", alpha=\"0.15\", expect_size=\"47669248\"] \n  10 -> 25 [size =\"47669248\"]\n  11 [size=\"60823552\", alpha=\"0.19\", expect_size=\"30411776\"] \n  11 -> 18 [size =\"30411776\"]\n  11 -> 20 [size =\"30411776\"]\n  11 -> 25 [size =\"30411776\"]\n  12 [size=\"89423872\", alpha=\"0.01\", expect_size=\"44711936\"] \n  12 -> 18 [size =\"44711936\"]\n  12 -> 19 [size =\"44711936\"]\n  12 -> 21 [size =\"44711936\"]\n  13 [size=\"103505920\", alpha=\"0.00\", expect_size=\"51752960\"] \n  13 -> 18 [size =\"51752960\"]\n  13 -> 19 [size =\"51752960\"]\n  13 -> 20 [size =\"51752960\"]\n  13 -> 25 [size =\"51752960\"]\n  14 [size=\"82634752\", alpha=\"0.08\", expect_size=\"41317376\"] \n  14 -> 18 [size =\"41317376\"]\n  14 -> 20 [size =\"41317376\"]\n  14 -> 21 [size =\"41317376\"]\n  14 -> 22 [size =\"41317376\"]\n  14 -> 23 [size =\"41317376\"]\n  14 -> 25 [size =\"41317376\"]\n  15 [size=\"82411520\", alpha=\"0.09\", expect_size=\"41205760\"] \n  15 -> 18 [size =\"41205760\"]\n  15 -> 20 [size =\"41205760\"]\n  15 -> 21 [size =\"41205760\"]\n  15 -> 22 [size =\"41205760\"]\n  15 -> 25 [size =\"41205760\"]\n  16 [size=\"75059200\", alpha=\"0.20\", expect_size=\"37529600\"] \n  16 -> 18 [size =\"37529600\"]\n  16 -> 20 [size =\"37529600\"]\n  16 -> 21 [size =\"37529600\"]\n  17 [size=\"44181504\", alpha=\"0.17\", expect_size=\"22090752\"] \n  17 -> 18 [size =\"22090752\"]\n  17 -> 19 [size =\"22090752\"]\n  17 -> 22 [size =\"22090752\"]\n  17 -> 23 [size =\"22090752\"]\n  17 -> 25 [size =\"22090752\"]\n  18 [size=\"70305792\", alpha=\"0.18\", expect_size=\"35152896\"] \n  19 [size=\"11130880\", alpha=\"0.09\", expect_size=\"5565440\"] \n  20 [size=\"41078784\", alpha=\"0.13\", expect_size=\"20539392\"] \n  21 [size=\"16433152\", alpha=\"0.18\", expect_size=\"8216576\"] \n  22 [size=\"103856128\", alpha=\"0.18\", expect_size=\"51928064\"] \n  23 [size=\"14452736\", alpha=\"0.11\", expect_size=\"7226368\"] \n  24 [size=\"16461824\", alpha=\"0.02\", expect_size=\"8230912\"] \n  25 [size=\"56313856\", alpha=\"0.06\", expect_size=\"28156928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33171456\", alpha=\"0.13\", expect_size=\"16585728\"] \n  1 -> 6 [size =\"16585728\"]\n  1 -> 7 [size =\"16585728\"]\n  2 [size=\"85884928\", alpha=\"0.14\", expect_size=\"42942464\"] \n  2 -> 4 [size =\"42942464\"]\n  2 -> 5 [size =\"42942464\"]\n  3 [size=\"67338240\", alpha=\"0.09\", expect_size=\"33669120\"] \n  3 -> 5 [size =\"33669120\"]\n  3 -> 7 [size =\"33669120\"]\n  4 [size=\"84721664\", alpha=\"0.18\", expect_size=\"42360832\"] \n  4 -> 8 [size =\"42360832\"]\n  5 [size=\"104665088\", alpha=\"0.10\", expect_size=\"52332544\"] \n  5 -> 10 [size =\"52332544\"]\n  6 [size=\"27854848\", alpha=\"0.09\", expect_size=\"13927424\"] \n  6 -> 8 [size =\"13927424\"]\n  6 -> 9 [size =\"13927424\"]\n  7 [size=\"89135104\", alpha=\"0.09\", expect_size=\"44567552\"] \n  7 -> 10 [size =\"44567552\"]\n  8 [size=\"58093568\", alpha=\"0.09\", expect_size=\"29046784\"] \n  8 -> 11 [size =\"29046784\"]\n  8 -> 13 [size =\"29046784\"]\n  8 -> 14 [size =\"29046784\"]\n  9 [size=\"71170048\", alpha=\"0.12\", expect_size=\"35585024\"] \n  9 -> 12 [size =\"35585024\"]\n  10 [size=\"54956032\", alpha=\"0.16\", expect_size=\"27478016\"] \n  10 -> 11 [size =\"27478016\"]\n  10 -> 12 [size =\"27478016\"]\n  10 -> 14 [size =\"27478016\"]\n  11 [size=\"40701952\", alpha=\"0.01\", expect_size=\"20350976\"] \n  11 -> 15 [size =\"20350976\"]\n  12 [size=\"100999168\", alpha=\"0.16\", expect_size=\"50499584\"] \n  13 [size=\"73148416\", alpha=\"0.08\", expect_size=\"36574208\"] \n  13 -> 15 [size =\"36574208\"]\n  13 -> 16 [size =\"36574208\"]\n  13 -> 18 [size =\"36574208\"]\n  14 [size=\"21778432\", alpha=\"0.17\", expect_size=\"10889216\"] \n  14 -> 17 [size =\"10889216\"]\n  14 -> 18 [size =\"10889216\"]\n  15 [size=\"14675968\", alpha=\"0.19\", expect_size=\"7337984\"] \n  15 -> 19 [size =\"7337984\"]\n  16 [size=\"60897280\", alpha=\"0.01\", expect_size=\"30448640\"] \n  17 [size=\"10881024\", alpha=\"0.09\", expect_size=\"5440512\"] \n  17 -> 20 [size =\"5440512\"]\n  17 -> 21 [size =\"5440512\"]\n  18 [size=\"54472704\", alpha=\"0.10\", expect_size=\"27236352\"] \n  18 -> 20 [size =\"27236352\"]\n  19 [size=\"96561152\", alpha=\"0.10\", expect_size=\"48280576\"] \n  19 -> 23 [size =\"48280576\"]\n  19 -> 24 [size =\"48280576\"]\n  19 -> 25 [size =\"48280576\"]\n  20 [size=\"60332032\", alpha=\"0.03\", expect_size=\"30166016\"] \n  20 -> 22 [size =\"30166016\"]\n  21 [size=\"39403520\", alpha=\"0.01\", expect_size=\"19701760\"] \n  21 -> 23 [size =\"19701760\"]\n  21 -> 25 [size =\"19701760\"]\n  22 [size=\"44709888\", alpha=\"0.15\", expect_size=\"22354944\"] \n  23 [size=\"24621056\", alpha=\"0.02\", expect_size=\"12310528\"] \n  24 [size=\"63639552\", alpha=\"0.03\", expect_size=\"31819776\"] \n  25 [size=\"49852416\", alpha=\"0.05\", expect_size=\"24926208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95682560\", alpha=\"0.07\", expect_size=\"38273024\"] \n  1 -> 6 [size =\"38273024\"]\n  1 -> 7 [size =\"38273024\"]\n  2 [size=\"39416320\", alpha=\"0.05\", expect_size=\"15766528\"] \n  2 -> 4 [size =\"15766528\"]\n  2 -> 5 [size =\"15766528\"]\n  2 -> 7 [size =\"15766528\"]\n  3 [size=\"84889600\", alpha=\"0.17\", expect_size=\"33955840\"] \n  3 -> 5 [size =\"33955840\"]\n  4 [size=\"100605440\", alpha=\"0.20\", expect_size=\"40242176\"] \n  4 -> 8 [size =\"40242176\"]\n  5 [size=\"53611520\", alpha=\"0.06\", expect_size=\"21444608\"] \n  5 -> 8 [size =\"21444608\"]\n  6 [size=\"35740160\", alpha=\"0.16\", expect_size=\"14296064\"] \n  7 [size=\"19712000\", alpha=\"0.16\", expect_size=\"7884800\"] \n  7 -> 9 [size =\"7884800\"]\n  8 [size=\"71014400\", alpha=\"0.00\", expect_size=\"28405760\"] \n  8 -> 10 [size =\"28405760\"]\n  9 [size=\"35962880\", alpha=\"0.06\", expect_size=\"14385152\"] \n  9 -> 11 [size =\"14385152\"]\n  9 -> 12 [size =\"14385152\"]\n  10 [size=\"33236480\", alpha=\"0.15\", expect_size=\"13294592\"] \n  10 -> 13 [size =\"13294592\"]\n  10 -> 15 [size =\"13294592\"]\n  10 -> 16 [size =\"13294592\"]\n  11 [size=\"48407040\", alpha=\"0.13\", expect_size=\"19362816\"] \n  11 -> 14 [size =\"19362816\"]\n  11 -> 15 [size =\"19362816\"]\n  11 -> 17 [size =\"19362816\"]\n  12 [size=\"87470080\", alpha=\"0.01\", expect_size=\"34988032\"] \n  12 -> 13 [size =\"34988032\"]\n  12 -> 14 [size =\"34988032\"]\n  13 [size=\"118420480\", alpha=\"0.08\", expect_size=\"47368192\"] \n  13 -> 18 [size =\"47368192\"]\n  13 -> 19 [size =\"47368192\"]\n  14 [size=\"99210240\", alpha=\"0.08\", expect_size=\"39684096\"] \n  14 -> 19 [size =\"39684096\"]\n  15 [size=\"98091520\", alpha=\"0.07\", expect_size=\"39236608\"] \n  15 -> 18 [size =\"39236608\"]\n  15 -> 20 [size =\"39236608\"]\n  16 [size=\"15662080\", alpha=\"0.00\", expect_size=\"6264832\"] \n  16 -> 19 [size =\"6264832\"]\n  16 -> 21 [size =\"6264832\"]\n  17 [size=\"107932160\", alpha=\"0.11\", expect_size=\"43172864\"] \n  17 -> 18 [size =\"43172864\"]\n  17 -> 21 [size =\"43172864\"]\n  18 [size=\"83811840\", alpha=\"0.18\", expect_size=\"33524736\"] \n  18 -> 24 [size =\"33524736\"]\n  19 [size=\"85276160\", alpha=\"0.06\", expect_size=\"34110464\"] \n  20 [size=\"121236480\", alpha=\"0.10\", expect_size=\"48494592\"] \n  20 -> 23 [size =\"48494592\"]\n  21 [size=\"90767360\", alpha=\"0.09\", expect_size=\"36306944\"] \n  21 -> 22 [size =\"36306944\"]\n  21 -> 23 [size =\"36306944\"]\n  22 [size=\"48368640\", alpha=\"0.12\", expect_size=\"19347456\"] \n  23 [size=\"55055360\", alpha=\"0.07\", expect_size=\"22022144\"] \n  24 [size=\"102256640\", alpha=\"0.17\", expect_size=\"40902656\"] \n  24 -> 25 [size =\"40902656\"]\n  25 [size=\"33303040\", alpha=\"0.14\", expect_size=\"13321216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97290240\", alpha=\"0.01\", expect_size=\"38916096\"] \n  1 -> 4 [size =\"38916096\"]\n  2 [size=\"53672960\", alpha=\"0.14\", expect_size=\"21469184\"] \n  2 -> 5 [size =\"21469184\"]\n  3 [size=\"114350080\", alpha=\"0.05\", expect_size=\"45740032\"] \n  3 -> 4 [size =\"45740032\"]\n  3 -> 6 [size =\"45740032\"]\n  3 -> 7 [size =\"45740032\"]\n  4 [size=\"94604800\", alpha=\"0.18\", expect_size=\"37841920\"] \n  4 -> 11 [size =\"37841920\"]\n  5 [size=\"48791040\", alpha=\"0.10\", expect_size=\"19516416\"] \n  6 [size=\"35806720\", alpha=\"0.12\", expect_size=\"14322688\"] \n  6 -> 10 [size =\"14322688\"]\n  6 -> 11 [size =\"14322688\"]\n  7 [size=\"39416320\", alpha=\"0.09\", expect_size=\"15766528\"] \n  7 -> 8 [size =\"15766528\"]\n  7 -> 9 [size =\"15766528\"]\n  8 [size=\"67225600\", alpha=\"0.00\", expect_size=\"26890240\"] \n  9 [size=\"117793280\", alpha=\"0.14\", expect_size=\"47117312\"] \n  9 -> 14 [size =\"47117312\"]\n  10 [size=\"50160640\", alpha=\"0.09\", expect_size=\"20064256\"] \n  10 -> 12 [size =\"20064256\"]\n  10 -> 13 [size =\"20064256\"]\n  11 [size=\"68060160\", alpha=\"0.06\", expect_size=\"27224064\"] \n  11 -> 12 [size =\"27224064\"]\n  11 -> 13 [size =\"27224064\"]\n  12 [size=\"75102720\", alpha=\"0.06\", expect_size=\"30041088\"] \n  12 -> 18 [size =\"30041088\"]\n  12 -> 19 [size =\"30041088\"]\n  13 [size=\"40724480\", alpha=\"0.18\", expect_size=\"16289792\"] \n  13 -> 15 [size =\"16289792\"]\n  13 -> 17 [size =\"16289792\"]\n  14 [size=\"70302720\", alpha=\"0.03\", expect_size=\"28121088\"] \n  14 -> 16 [size =\"28121088\"]\n  14 -> 19 [size =\"28121088\"]\n  15 [size=\"57054720\", alpha=\"0.03\", expect_size=\"22821888\"] \n  15 -> 24 [size =\"22821888\"]\n  16 [size=\"116951040\", alpha=\"0.01\", expect_size=\"46780416\"] \n  16 -> 20 [size =\"46780416\"]\n  16 -> 21 [size =\"46780416\"]\n  17 [size=\"71505920\", alpha=\"0.00\", expect_size=\"28602368\"] \n  17 -> 23 [size =\"28602368\"]\n  18 [size=\"122954240\", alpha=\"0.13\", expect_size=\"49181696\"] \n  18 -> 21 [size =\"49181696\"]\n  18 -> 22 [size =\"49181696\"]\n  18 -> 23 [size =\"49181696\"]\n  18 -> 24 [size =\"49181696\"]\n  19 [size=\"125637120\", alpha=\"0.15\", expect_size=\"50254848\"] \n  19 -> 22 [size =\"50254848\"]\n  20 [size=\"90938880\", alpha=\"0.14\", expect_size=\"36375552\"] \n  21 [size=\"28646400\", alpha=\"0.08\", expect_size=\"11458560\"] \n  22 [size=\"61340160\", alpha=\"0.09\", expect_size=\"24536064\"] \n  22 -> 25 [size =\"24536064\"]\n  23 [size=\"98775040\", alpha=\"0.06\", expect_size=\"39510016\"] \n  24 [size=\"87142400\", alpha=\"0.18\", expect_size=\"34856960\"] \n  25 [size=\"106344960\", alpha=\"0.15\", expect_size=\"42537984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93483520\", alpha=\"0.07\", expect_size=\"37393408\"] \n  1 -> 2 [size =\"37393408\"]\n  2 [size=\"89085440\", alpha=\"0.15\", expect_size=\"35634176\"] \n  2 -> 3 [size =\"35634176\"]\n  3 [size=\"106316800\", alpha=\"0.01\", expect_size=\"42526720\"] \n  3 -> 4 [size =\"42526720\"]\n  4 [size=\"55321600\", alpha=\"0.15\", expect_size=\"22128640\"] \n  4 -> 5 [size =\"22128640\"]\n  5 [size=\"99537920\", alpha=\"0.03\", expect_size=\"39815168\"] \n  5 -> 6 [size =\"39815168\"]\n  6 [size=\"126704640\", alpha=\"0.01\", expect_size=\"50681856\"] \n  6 -> 7 [size =\"50681856\"]\n  7 [size=\"69224960\", alpha=\"0.12\", expect_size=\"27689984\"] \n  7 -> 8 [size =\"27689984\"]\n  8 [size=\"89492480\", alpha=\"0.18\", expect_size=\"35796992\"] \n  8 -> 9 [size =\"35796992\"]\n  9 [size=\"63104000\", alpha=\"0.00\", expect_size=\"25241600\"] \n  9 -> 10 [size =\"25241600\"]\n  10 [size=\"18122240\", alpha=\"0.13\", expect_size=\"7248896\"] \n  10 -> 11 [size =\"7248896\"]\n  11 [size=\"27174400\", alpha=\"0.01\", expect_size=\"10869760\"] \n  11 -> 12 [size =\"10869760\"]\n  12 [size=\"66114560\", alpha=\"0.05\", expect_size=\"26445824\"] \n  12 -> 13 [size =\"26445824\"]\n  13 [size=\"37550080\", alpha=\"0.17\", expect_size=\"15020032\"] \n  13 -> 14 [size =\"15020032\"]\n  14 [size=\"42995200\", alpha=\"0.13\", expect_size=\"17198080\"] \n  14 -> 15 [size =\"17198080\"]\n  15 [size=\"13928960\", alpha=\"0.14\", expect_size=\"5571584\"] \n  15 -> 16 [size =\"5571584\"]\n  16 [size=\"33896960\", alpha=\"0.13\", expect_size=\"13558784\"] \n  16 -> 17 [size =\"13558784\"]\n  17 [size=\"37721600\", alpha=\"0.01\", expect_size=\"15088640\"] \n  17 -> 18 [size =\"15088640\"]\n  18 [size=\"108321280\", alpha=\"0.11\", expect_size=\"43328512\"] \n  18 -> 19 [size =\"43328512\"]\n  19 [size=\"94960640\", alpha=\"0.12\", expect_size=\"37984256\"] \n  19 -> 20 [size =\"37984256\"]\n  20 [size=\"95779840\", alpha=\"0.06\", expect_size=\"38311936\"] \n  20 -> 21 [size =\"38311936\"]\n  21 [size=\"56647680\", alpha=\"0.13\", expect_size=\"22659072\"] \n  21 -> 22 [size =\"22659072\"]\n  22 [size=\"62000640\", alpha=\"0.14\", expect_size=\"24800256\"] \n  22 -> 23 [size =\"24800256\"]\n  23 [size=\"93867520\", alpha=\"0.10\", expect_size=\"37547008\"] \n  23 -> 24 [size =\"37547008\"]\n  24 [size=\"75678720\", alpha=\"0.13\", expect_size=\"30271488\"] \n  24 -> 25 [size =\"30271488\"]\n  25 [size=\"31953920\", alpha=\"0.10\", expect_size=\"12781568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47609856\", alpha=\"0.08\", expect_size=\"23804928\"] \n  1 -> 5 [size =\"23804928\"]\n  1 -> 6 [size =\"23804928\"]\n  2 [size=\"93673472\", alpha=\"0.06\", expect_size=\"46836736\"] \n  3 [size=\"63823872\", alpha=\"0.12\", expect_size=\"31911936\"] \n  3 -> 7 [size =\"31911936\"]\n  4 [size=\"49870848\", alpha=\"0.03\", expect_size=\"24935424\"] \n  4 -> 5 [size =\"24935424\"]\n  4 -> 7 [size =\"24935424\"]\n  5 [size=\"52967424\", alpha=\"0.04\", expect_size=\"26483712\"] \n  5 -> 8 [size =\"26483712\"]\n  5 -> 9 [size =\"26483712\"]\n  5 -> 10 [size =\"26483712\"]\n  6 [size=\"10893312\", alpha=\"0.01\", expect_size=\"5446656\"] \n  7 [size=\"71000064\", alpha=\"0.14\", expect_size=\"35500032\"] \n  7 -> 8 [size =\"35500032\"]\n  7 -> 11 [size =\"35500032\"]\n  8 [size=\"41650176\", alpha=\"0.20\", expect_size=\"20825088\"] \n  8 -> 13 [size =\"20825088\"]\n  8 -> 15 [size =\"20825088\"]\n  9 [size=\"28676096\", alpha=\"0.18\", expect_size=\"14338048\"] \n  9 -> 12 [size =\"14338048\"]\n  9 -> 13 [size =\"14338048\"]\n  10 [size=\"95436800\", alpha=\"0.01\", expect_size=\"47718400\"] \n  11 [size=\"57325568\", alpha=\"0.11\", expect_size=\"28662784\"] \n  11 -> 14 [size =\"28662784\"]\n  12 [size=\"94949376\", alpha=\"0.15\", expect_size=\"47474688\"] \n  12 -> 16 [size =\"47474688\"]\n  13 [size=\"30218240\", alpha=\"0.16\", expect_size=\"15109120\"] \n  13 -> 16 [size =\"15109120\"]\n  13 -> 17 [size =\"15109120\"]\n  13 -> 18 [size =\"15109120\"]\n  13 -> 19 [size =\"15109120\"]\n  14 [size=\"85846016\", alpha=\"0.12\", expect_size=\"42923008\"] \n  15 [size=\"101017600\", alpha=\"0.07\", expect_size=\"50508800\"] \n  15 -> 19 [size =\"50508800\"]\n  16 [size=\"27858944\", alpha=\"0.05\", expect_size=\"13929472\"] \n  17 [size=\"30982144\", alpha=\"0.11\", expect_size=\"15491072\"] \n  17 -> 20 [size =\"15491072\"]\n  18 [size=\"98717696\", alpha=\"0.08\", expect_size=\"49358848\"] \n  18 -> 22 [size =\"49358848\"]\n  19 [size=\"97390592\", alpha=\"0.09\", expect_size=\"48695296\"] \n  19 -> 21 [size =\"48695296\"]\n  19 -> 22 [size =\"48695296\"]\n  20 [size=\"85956608\", alpha=\"0.01\", expect_size=\"42978304\"] \n  20 -> 23 [size =\"42978304\"]\n  20 -> 24 [size =\"42978304\"]\n  21 [size=\"88526848\", alpha=\"0.01\", expect_size=\"44263424\"] \n  21 -> 23 [size =\"44263424\"]\n  21 -> 25 [size =\"44263424\"]\n  22 [size=\"46362624\", alpha=\"0.19\", expect_size=\"23181312\"] \n  23 [size=\"21780480\", alpha=\"0.08\", expect_size=\"10890240\"] \n  24 [size=\"96172032\", alpha=\"0.05\", expect_size=\"48086016\"] \n  25 [size=\"58865664\", alpha=\"0.11\", expect_size=\"29432832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28899840\", alpha=\"0.08\", expect_size=\"11559936\"] \n  2 [size=\"13862400\", alpha=\"0.13\", expect_size=\"5544960\"] \n  2 -> 3 [size =\"5544960\"]\n  2 -> 4 [size =\"5544960\"]\n  3 [size=\"75335680\", alpha=\"0.06\", expect_size=\"30134272\"] \n  3 -> 7 [size =\"30134272\"]\n  4 [size=\"53173760\", alpha=\"0.05\", expect_size=\"21269504\"] \n  4 -> 5 [size =\"21269504\"]\n  4 -> 6 [size =\"21269504\"]\n  5 [size=\"60669440\", alpha=\"0.08\", expect_size=\"24267776\"] \n  6 [size=\"88419840\", alpha=\"0.12\", expect_size=\"35367936\"] \n  6 -> 9 [size =\"35367936\"]\n  6 -> 10 [size =\"35367936\"]\n  7 [size=\"96604160\", alpha=\"0.10\", expect_size=\"38641664\"] \n  7 -> 8 [size =\"38641664\"]\n  8 [size=\"68623360\", alpha=\"0.12\", expect_size=\"27449344\"] \n  8 -> 12 [size =\"27449344\"]\n  8 -> 13 [size =\"27449344\"]\n  8 -> 14 [size =\"27449344\"]\n  9 [size=\"68851200\", alpha=\"0.19\", expect_size=\"27540480\"] \n  9 -> 11 [size =\"27540480\"]\n  9 -> 12 [size =\"27540480\"]\n  10 [size=\"62069760\", alpha=\"0.05\", expect_size=\"24827904\"] \n  10 -> 11 [size =\"24827904\"]\n  10 -> 14 [size =\"24827904\"]\n  10 -> 15 [size =\"24827904\"]\n  11 [size=\"59824640\", alpha=\"0.16\", expect_size=\"23929856\"] \n  12 [size=\"106723840\", alpha=\"0.09\", expect_size=\"42689536\"] \n  12 -> 18 [size =\"42689536\"]\n  13 [size=\"67258880\", alpha=\"0.19\", expect_size=\"26903552\"] \n  13 -> 18 [size =\"26903552\"]\n  14 [size=\"99911680\", alpha=\"0.10\", expect_size=\"39964672\"] \n  14 -> 16 [size =\"39964672\"]\n  14 -> 17 [size =\"39964672\"]\n  15 [size=\"13744640\", alpha=\"0.06\", expect_size=\"5497856\"] \n  15 -> 16 [size =\"5497856\"]\n  15 -> 18 [size =\"5497856\"]\n  16 [size=\"61519360\", alpha=\"0.06\", expect_size=\"24607744\"] \n  16 -> 21 [size =\"24607744\"]\n  17 [size=\"13642240\", alpha=\"0.18\", expect_size=\"5456896\"] \n  17 -> 19 [size =\"5456896\"]\n  17 -> 20 [size =\"5456896\"]\n  18 [size=\"73646080\", alpha=\"0.12\", expect_size=\"29458432\"] \n  18 -> 21 [size =\"29458432\"]\n  19 [size=\"24901120\", alpha=\"0.16\", expect_size=\"9960448\"] \n  19 -> 23 [size =\"9960448\"]\n  19 -> 24 [size =\"9960448\"]\n  20 [size=\"16998400\", alpha=\"0.02\", expect_size=\"6799360\"] \n  20 -> 22 [size =\"6799360\"]\n  20 -> 23 [size =\"6799360\"]\n  21 [size=\"46428160\", alpha=\"0.11\", expect_size=\"18571264\"] \n  21 -> 22 [size =\"18571264\"]\n  21 -> 25 [size =\"18571264\"]\n  22 [size=\"24655360\", alpha=\"0.19\", expect_size=\"9862144\"] \n  23 [size=\"75330560\", alpha=\"0.18\", expect_size=\"30132224\"] \n  24 [size=\"67681280\", alpha=\"0.05\", expect_size=\"27072512\"] \n  25 [size=\"124142080\", alpha=\"0.19\", expect_size=\"49656832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94906368\", alpha=\"0.09\", expect_size=\"47453184\"] \n  1 -> 2 [size =\"47453184\"]\n  2 [size=\"84842496\", alpha=\"0.00\", expect_size=\"42421248\"] \n  2 -> 3 [size =\"42421248\"]\n  3 [size=\"79984640\", alpha=\"0.13\", expect_size=\"39992320\"] \n  3 -> 4 [size =\"39992320\"]\n  4 [size=\"97953792\", alpha=\"0.19\", expect_size=\"48976896\"] \n  4 -> 5 [size =\"48976896\"]\n  5 [size=\"47624192\", alpha=\"0.09\", expect_size=\"23812096\"] \n  5 -> 6 [size =\"23812096\"]\n  5 -> 7 [size =\"23812096\"]\n  6 [size=\"62976000\", alpha=\"0.13\", expect_size=\"31488000\"] \n  6 -> 9 [size =\"31488000\"]\n  7 [size=\"99485696\", alpha=\"0.06\", expect_size=\"49742848\"] \n  7 -> 8 [size =\"49742848\"]\n  7 -> 9 [size =\"49742848\"]\n  8 [size=\"76005376\", alpha=\"0.12\", expect_size=\"38002688\"] \n  8 -> 10 [size =\"38002688\"]\n  9 [size=\"24926208\", alpha=\"0.16\", expect_size=\"12463104\"] \n  9 -> 10 [size =\"12463104\"]\n  9 -> 11 [size =\"12463104\"]\n  10 [size=\"83908608\", alpha=\"0.12\", expect_size=\"41954304\"] \n  10 -> 12 [size =\"41954304\"]\n  11 [size=\"57522176\", alpha=\"0.14\", expect_size=\"28761088\"] \n  11 -> 12 [size =\"28761088\"]\n  12 [size=\"97871872\", alpha=\"0.09\", expect_size=\"48935936\"] \n  12 -> 13 [size =\"48935936\"]\n  13 [size=\"98580480\", alpha=\"0.07\", expect_size=\"49290240\"] \n  13 -> 14 [size =\"49290240\"]\n  14 [size=\"66975744\", alpha=\"0.11\", expect_size=\"33487872\"] \n  14 -> 15 [size =\"33487872\"]\n  14 -> 16 [size =\"33487872\"]\n  15 [size=\"64081920\", alpha=\"0.08\", expect_size=\"32040960\"] \n  15 -> 17 [size =\"32040960\"]\n  16 [size=\"13312000\", alpha=\"0.07\", expect_size=\"6656000\"] \n  16 -> 17 [size =\"6656000\"]\n  17 [size=\"74084352\", alpha=\"0.01\", expect_size=\"37042176\"] \n  17 -> 18 [size =\"37042176\"]\n  17 -> 19 [size =\"37042176\"]\n  18 [size=\"100186112\", alpha=\"0.15\", expect_size=\"50093056\"] \n  18 -> 20 [size =\"50093056\"]\n  19 [size=\"64229376\", alpha=\"0.03\", expect_size=\"32114688\"] \n  19 -> 20 [size =\"32114688\"]\n  19 -> 21 [size =\"32114688\"]\n  20 [size=\"44081152\", alpha=\"0.01\", expect_size=\"22040576\"] \n  20 -> 23 [size =\"22040576\"]\n  21 [size=\"98703360\", alpha=\"0.16\", expect_size=\"49351680\"] \n  21 -> 22 [size =\"49351680\"]\n  21 -> 23 [size =\"49351680\"]\n  22 [size=\"72095744\", alpha=\"0.08\", expect_size=\"36047872\"] \n  22 -> 24 [size =\"36047872\"]\n  23 [size=\"19509248\", alpha=\"0.14\", expect_size=\"9754624\"] \n  23 -> 24 [size =\"9754624\"]\n  23 -> 25 [size =\"9754624\"]\n  24 [size=\"53086208\", alpha=\"0.19\", expect_size=\"26543104\"] \n  25 [size=\"10870784\", alpha=\"0.11\", expect_size=\"5435392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71262720\", alpha=\"0.01\", expect_size=\"28505088\"] \n  1 -> 11 [size =\"28505088\"]\n  1 -> 13 [size =\"28505088\"]\n  1 -> 15 [size =\"28505088\"]\n  2 [size=\"77550080\", alpha=\"0.05\", expect_size=\"31020032\"] \n  2 -> 11 [size =\"31020032\"]\n  2 -> 12 [size =\"31020032\"]\n  2 -> 13 [size =\"31020032\"]\n  3 [size=\"100938240\", alpha=\"0.07\", expect_size=\"40375296\"] \n  3 -> 12 [size =\"40375296\"]\n  3 -> 14 [size =\"40375296\"]\n  3 -> 16 [size =\"40375296\"]\n  4 [size=\"63577600\", alpha=\"0.00\", expect_size=\"25431040\"] \n  4 -> 11 [size =\"25431040\"]\n  4 -> 12 [size =\"25431040\"]\n  4 -> 16 [size =\"25431040\"]\n  5 [size=\"123770880\", alpha=\"0.18\", expect_size=\"49508352\"] \n  5 -> 11 [size =\"49508352\"]\n  5 -> 16 [size =\"49508352\"]\n  6 [size=\"65697280\", alpha=\"0.01\", expect_size=\"26278912\"] \n  7 [size=\"66931200\", alpha=\"0.18\", expect_size=\"26772480\"] \n  7 -> 17 [size =\"26772480\"]\n  8 [size=\"68413440\", alpha=\"0.03\", expect_size=\"27365376\"] \n  8 -> 11 [size =\"27365376\"]\n  8 -> 14 [size =\"27365376\"]\n  8 -> 16 [size =\"27365376\"]\n  9 [size=\"15513600\", alpha=\"0.03\", expect_size=\"6205440\"] \n  9 -> 10 [size =\"6205440\"]\n  9 -> 12 [size =\"6205440\"]\n  9 -> 13 [size =\"6205440\"]\n  9 -> 14 [size =\"6205440\"]\n  9 -> 15 [size =\"6205440\"]\n  9 -> 16 [size =\"6205440\"]\n  10 [size=\"69089280\", alpha=\"0.09\", expect_size=\"27635712\"] \n  10 -> 22 [size =\"27635712\"]\n  11 [size=\"81830400\", alpha=\"0.06\", expect_size=\"32732160\"] \n  11 -> 21 [size =\"32732160\"]\n  12 [size=\"86202880\", alpha=\"0.17\", expect_size=\"34481152\"] \n  12 -> 19 [size =\"34481152\"]\n  12 -> 20 [size =\"34481152\"]\n  13 [size=\"116218880\", alpha=\"0.06\", expect_size=\"46487552\"] \n  13 -> 18 [size =\"46487552\"]\n  13 -> 22 [size =\"46487552\"]\n  13 -> 23 [size =\"46487552\"]\n  13 -> 25 [size =\"46487552\"]\n  14 [size=\"38566400\", alpha=\"0.12\", expect_size=\"15426560\"] \n  14 -> 18 [size =\"15426560\"]\n  14 -> 21 [size =\"15426560\"]\n  14 -> 23 [size =\"15426560\"]\n  14 -> 25 [size =\"15426560\"]\n  15 [size=\"41469440\", alpha=\"0.15\", expect_size=\"16587776\"] \n  15 -> 18 [size =\"16587776\"]\n  15 -> 25 [size =\"16587776\"]\n  16 [size=\"27886080\", alpha=\"0.07\", expect_size=\"11154432\"] \n  16 -> 20 [size =\"11154432\"]\n  16 -> 23 [size =\"11154432\"]\n  17 [size=\"35901440\", alpha=\"0.04\", expect_size=\"14360576\"] \n  17 -> 24 [size =\"14360576\"]\n  17 -> 25 [size =\"14360576\"]\n  18 [size=\"24657920\", alpha=\"0.15\", expect_size=\"9863168\"] \n  19 [size=\"43069440\", alpha=\"0.10\", expect_size=\"17227776\"] \n  20 [size=\"58718720\", alpha=\"0.00\", expect_size=\"23487488\"] \n  21 [size=\"113853440\", alpha=\"0.00\", expect_size=\"45541376\"] \n  22 [size=\"29608960\", alpha=\"0.12\", expect_size=\"11843584\"] \n  23 [size=\"13824000\", alpha=\"0.18\", expect_size=\"5529600\"] \n  24 [size=\"48478720\", alpha=\"0.13\", expect_size=\"19391488\"] \n  25 [size=\"116410880\", alpha=\"0.06\", expect_size=\"46564352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22142293\", alpha=\"0.18\", expect_size=\"6642688\"] \n  1 -> 2 [size =\"6642688\"]\n  2 [size=\"80459093\", alpha=\"0.04\", expect_size=\"24137728\"] \n  2 -> 3 [size =\"24137728\"]\n  3 [size=\"82879147\", alpha=\"0.08\", expect_size=\"24863744\"] \n  3 -> 4 [size =\"24863744\"]\n  4 [size=\"24845653\", alpha=\"0.17\", expect_size=\"7453696\"] \n  4 -> 5 [size =\"7453696\"]\n  5 [size=\"66624853\", alpha=\"0.05\", expect_size=\"19987456\"] \n  5 -> 6 [size =\"19987456\"]\n  6 [size=\"131184640\", alpha=\"0.18\", expect_size=\"39355392\"] \n  6 -> 7 [size =\"39355392\"]\n  7 [size=\"166758400\", alpha=\"0.18\", expect_size=\"50027520\"] \n  7 -> 8 [size =\"50027520\"]\n  8 [size=\"64836267\", alpha=\"0.16\", expect_size=\"19450880\"] \n  8 -> 9 [size =\"19450880\"]\n  9 [size=\"37403307\", alpha=\"0.00\", expect_size=\"11220992\"] \n  9 -> 10 [size =\"11220992\"]\n  10 [size=\"46291627\", alpha=\"0.03\", expect_size=\"13887488\"] \n  10 -> 11 [size =\"13887488\"]\n  11 [size=\"33365333\", alpha=\"0.04\", expect_size=\"10009600\"] \n  11 -> 12 [size =\"10009600\"]\n  12 [size=\"174728533\", alpha=\"0.19\", expect_size=\"52418560\"] \n  12 -> 13 [size =\"52418560\"]\n  13 [size=\"47479467\", alpha=\"0.07\", expect_size=\"14243840\"] \n  13 -> 14 [size =\"14243840\"]\n  14 [size=\"110489600\", alpha=\"0.09\", expect_size=\"33146880\"] \n  14 -> 15 [size =\"33146880\"]\n  15 [size=\"90821973\", alpha=\"0.04\", expect_size=\"27246592\"] \n  15 -> 16 [size =\"27246592\"]\n  16 [size=\"127805440\", alpha=\"0.18\", expect_size=\"38341632\"] \n  16 -> 17 [size =\"38341632\"]\n  17 [size=\"111206400\", alpha=\"0.19\", expect_size=\"33361920\"] \n  17 -> 18 [size =\"33361920\"]\n  18 [size=\"94689280\", alpha=\"0.11\", expect_size=\"28406784\"] \n  18 -> 19 [size =\"28406784\"]\n  19 [size=\"63201280\", alpha=\"0.12\", expect_size=\"18960384\"] \n  19 -> 20 [size =\"18960384\"]\n  20 [size=\"63580160\", alpha=\"0.07\", expect_size=\"19074048\"] \n  20 -> 21 [size =\"19074048\"]\n  21 [size=\"85227520\", alpha=\"0.02\", expect_size=\"25568256\"] \n  21 -> 22 [size =\"25568256\"]\n  22 [size=\"116623360\", alpha=\"0.06\", expect_size=\"34987008\"] \n  22 -> 23 [size =\"34987008\"]\n  23 [size=\"107837440\", alpha=\"0.18\", expect_size=\"32351232\"] \n  23 -> 24 [size =\"32351232\"]\n  24 [size=\"162430293\", alpha=\"0.11\", expect_size=\"48729088\"] \n  24 -> 25 [size =\"48729088\"]\n  25 [size=\"73366187\", alpha=\"0.10\", expect_size=\"22009856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144687787\", alpha=\"0.01\", expect_size=\"43406336\"] \n  1 -> 17 [size =\"43406336\"]\n  1 -> 18 [size =\"43406336\"]\n  1 -> 20 [size =\"43406336\"]\n  1 -> 21 [size =\"43406336\"]\n  2 [size=\"81739093\", alpha=\"0.05\", expect_size=\"24521728\"] \n  2 -> 19 [size =\"24521728\"]\n  2 -> 21 [size =\"24521728\"]\n  2 -> 24 [size =\"24521728\"]\n  3 [size=\"168830293\", alpha=\"0.09\", expect_size=\"50649088\"] \n  3 -> 19 [size =\"50649088\"]\n  3 -> 21 [size =\"50649088\"]\n  3 -> 22 [size =\"50649088\"]\n  3 -> 23 [size =\"50649088\"]\n  3 -> 24 [size =\"50649088\"]\n  4 [size=\"91784533\", alpha=\"0.19\", expect_size=\"27535360\"] \n  4 -> 17 [size =\"27535360\"]\n  4 -> 21 [size =\"27535360\"]\n  4 -> 23 [size =\"27535360\"]\n  4 -> 24 [size =\"27535360\"]\n  4 -> 24 [size =\"27535360\"]\n  5 [size=\"170175147\", alpha=\"0.17\", expect_size=\"51052544\"] \n  5 -> 21 [size =\"51052544\"]\n  6 [size=\"83203413\", alpha=\"0.15\", expect_size=\"24961024\"] \n  6 -> 16 [size =\"24961024\"]\n  6 -> 22 [size =\"24961024\"]\n  6 -> 25 [size =\"24961024\"]\n  7 [size=\"69184853\", alpha=\"0.02\", expect_size=\"20755456\"] \n  7 -> 20 [size =\"20755456\"]\n  7 -> 22 [size =\"20755456\"]\n  8 [size=\"151975253\", alpha=\"0.19\", expect_size=\"45592576\"] \n  8 -> 20 [size =\"45592576\"]\n  8 -> 23 [size =\"45592576\"]\n  8 -> 24 [size =\"45592576\"]\n  8 -> 25 [size =\"45592576\"]\n  9 [size=\"88999253\", alpha=\"0.11\", expect_size=\"26699776\"] \n  9 -> 17 [size =\"26699776\"]\n  9 -> 19 [size =\"26699776\"]\n  9 -> 20 [size =\"26699776\"]\n  9 -> 24 [size =\"26699776\"]\n  10 [size=\"149613227\", alpha=\"0.16\", expect_size=\"44883968\"] \n  10 -> 17 [size =\"44883968\"]\n  10 -> 19 [size =\"44883968\"]\n  10 -> 20 [size =\"44883968\"]\n  10 -> 21 [size =\"44883968\"]\n  10 -> 22 [size =\"44883968\"]\n  10 -> 24 [size =\"44883968\"]\n  11 [size=\"67543040\", alpha=\"0.01\", expect_size=\"20262912\"] \n  11 -> 17 [size =\"20262912\"]\n  11 -> 20 [size =\"20262912\"]\n  11 -> 20 [size =\"20262912\"]\n  12 [size=\"74499413\", alpha=\"0.11\", expect_size=\"22349824\"] \n  12 -> 16 [size =\"22349824\"]\n  12 -> 17 [size =\"22349824\"]\n  12 -> 20 [size =\"22349824\"]\n  12 -> 23 [size =\"22349824\"]\n  12 -> 25 [size =\"22349824\"]\n  13 [size=\"113547947\", alpha=\"0.02\", expect_size=\"34064384\"] \n  13 -> 20 [size =\"34064384\"]\n  13 -> 21 [size =\"34064384\"]\n  13 -> 23 [size =\"34064384\"]\n  14 [size=\"27217920\", alpha=\"0.12\", expect_size=\"8165376\"] \n  14 -> 25 [size =\"8165376\"]\n  15 [size=\"22879573\", alpha=\"0.08\", expect_size=\"6863872\"] \n  15 -> 18 [size =\"6863872\"]\n  15 -> 21 [size =\"6863872\"]\n  15 -> 25 [size =\"6863872\"]\n  16 [size=\"158498133\", alpha=\"0.01\", expect_size=\"47549440\"] \n  17 [size=\"116940800\", alpha=\"0.04\", expect_size=\"35082240\"] \n  18 [size=\"135243093\", alpha=\"0.12\", expect_size=\"40572928\"] \n  19 [size=\"129512107\", alpha=\"0.07\", expect_size=\"38853632\"] \n  20 [size=\"59716267\", alpha=\"0.15\", expect_size=\"17914880\"] \n  21 [size=\"25586347\", alpha=\"0.19\", expect_size=\"7675904\"] \n  22 [size=\"33112747\", alpha=\"0.11\", expect_size=\"9933824\"] \n  23 [size=\"116145493\", alpha=\"0.02\", expect_size=\"34843648\"] \n  24 [size=\"131672747\", alpha=\"0.03\", expect_size=\"39501824\"] \n  25 [size=\"71400107\", alpha=\"0.04\", expect_size=\"21420032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64908800\", alpha=\"0.14\", expect_size=\"25963520\"] \n  1 -> 2 [size =\"25963520\"]\n  2 [size=\"43985920\", alpha=\"0.03\", expect_size=\"17594368\"] \n  2 -> 3 [size =\"17594368\"]\n  3 [size=\"96806400\", alpha=\"0.02\", expect_size=\"38722560\"] \n  3 -> 4 [size =\"38722560\"]\n  4 [size=\"86228480\", alpha=\"0.09\", expect_size=\"34491392\"] \n  4 -> 5 [size =\"34491392\"]\n  5 [size=\"51850240\", alpha=\"0.00\", expect_size=\"20740096\"] \n  5 -> 6 [size =\"20740096\"]\n  6 [size=\"22136320\", alpha=\"0.06\", expect_size=\"8854528\"] \n  6 -> 7 [size =\"8854528\"]\n  7 [size=\"61125120\", alpha=\"0.06\", expect_size=\"24450048\"] \n  7 -> 8 [size =\"24450048\"]\n  8 [size=\"83520000\", alpha=\"0.15\", expect_size=\"33408000\"] \n  8 -> 9 [size =\"33408000\"]\n  9 [size=\"95104000\", alpha=\"0.15\", expect_size=\"38041600\"] \n  9 -> 10 [size =\"38041600\"]\n  10 [size=\"127380480\", alpha=\"0.07\", expect_size=\"50952192\"] \n  10 -> 11 [size =\"50952192\"]\n  11 [size=\"108144640\", alpha=\"0.05\", expect_size=\"43257856\"] \n  11 -> 12 [size =\"43257856\"]\n  12 [size=\"70632960\", alpha=\"0.15\", expect_size=\"28253184\"] \n  12 -> 13 [size =\"28253184\"]\n  13 [size=\"89134080\", alpha=\"0.01\", expect_size=\"35653632\"] \n  13 -> 14 [size =\"35653632\"]\n  14 [size=\"98270720\", alpha=\"0.06\", expect_size=\"39308288\"] \n  14 -> 15 [size =\"39308288\"]\n  15 [size=\"31669760\", alpha=\"0.07\", expect_size=\"12667904\"] \n  15 -> 16 [size =\"12667904\"]\n  16 [size=\"33768960\", alpha=\"0.08\", expect_size=\"13507584\"] \n  16 -> 17 [size =\"13507584\"]\n  17 [size=\"72081920\", alpha=\"0.00\", expect_size=\"28832768\"] \n  17 -> 18 [size =\"28832768\"]\n  18 [size=\"106457600\", alpha=\"0.08\", expect_size=\"42583040\"] \n  18 -> 19 [size =\"42583040\"]\n  19 [size=\"77273600\", alpha=\"0.16\", expect_size=\"30909440\"] \n  19 -> 20 [size =\"30909440\"]\n  20 [size=\"46993920\", alpha=\"0.06\", expect_size=\"18797568\"] \n  20 -> 21 [size =\"18797568\"]\n  21 [size=\"89551360\", alpha=\"0.04\", expect_size=\"35820544\"] \n  21 -> 22 [size =\"35820544\"]\n  22 [size=\"120035840\", alpha=\"0.07\", expect_size=\"48014336\"] \n  22 -> 23 [size =\"48014336\"]\n  23 [size=\"90946560\", alpha=\"0.05\", expect_size=\"36378624\"] \n  23 -> 24 [size =\"36378624\"]\n  24 [size=\"97689600\", alpha=\"0.15\", expect_size=\"39075840\"] \n  24 -> 25 [size =\"39075840\"]\n  25 [size=\"130521600\", alpha=\"0.11\", expect_size=\"52208640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99611307\", alpha=\"0.16\", expect_size=\"29883392\"] \n  1 -> 22 [size =\"29883392\"]\n  2 [size=\"63924907\", alpha=\"0.19\", expect_size=\"19177472\"] \n  2 -> 22 [size =\"19177472\"]\n  2 -> 24 [size =\"19177472\"]\n  3 [size=\"125760853\", alpha=\"0.10\", expect_size=\"37728256\"] \n  3 -> 19 [size =\"37728256\"]\n  3 -> 20 [size =\"37728256\"]\n  3 -> 21 [size =\"37728256\"]\n  3 -> 22 [size =\"37728256\"]\n  4 [size=\"115804160\", alpha=\"0.04\", expect_size=\"34741248\"] \n  4 -> 19 [size =\"34741248\"]\n  4 -> 21 [size =\"34741248\"]\n  5 [size=\"87224320\", alpha=\"0.02\", expect_size=\"26167296\"] \n  5 -> 21 [size =\"26167296\"]\n  5 -> 22 [size =\"26167296\"]\n  6 [size=\"171987627\", alpha=\"0.18\", expect_size=\"51596288\"] \n  6 -> 19 [size =\"51596288\"]\n  6 -> 24 [size =\"51596288\"]\n  7 [size=\"116097707\", alpha=\"0.19\", expect_size=\"34829312\"] \n  7 -> 21 [size =\"34829312\"]\n  7 -> 22 [size =\"34829312\"]\n  8 [size=\"72533333\", alpha=\"0.08\", expect_size=\"21760000\"] \n  8 -> 21 [size =\"21760000\"]\n  9 [size=\"144261120\", alpha=\"0.19\", expect_size=\"43278336\"] \n  9 -> 23 [size =\"43278336\"]\n  9 -> 24 [size =\"43278336\"]\n  10 [size=\"34744320\", alpha=\"0.12\", expect_size=\"10423296\"] \n  10 -> 19 [size =\"10423296\"]\n  10 -> 21 [size =\"10423296\"]\n  11 [size=\"55633920\", alpha=\"0.13\", expect_size=\"16690176\"] \n  11 -> 19 [size =\"16690176\"]\n  11 -> 21 [size =\"16690176\"]\n  11 -> 22 [size =\"16690176\"]\n  12 [size=\"21490347\", alpha=\"0.01\", expect_size=\"6447104\"] \n  12 -> 20 [size =\"6447104\"]\n  12 -> 21 [size =\"6447104\"]\n  12 -> 24 [size =\"6447104\"]\n  13 [size=\"167966720\", alpha=\"0.10\", expect_size=\"50390016\"] \n  13 -> 21 [size =\"50390016\"]\n  13 -> 24 [size =\"50390016\"]\n  14 [size=\"88104960\", alpha=\"0.12\", expect_size=\"26431488\"] \n  14 -> 19 [size =\"26431488\"]\n  14 -> 21 [size =\"26431488\"]\n  14 -> 22 [size =\"26431488\"]\n  14 -> 24 [size =\"26431488\"]\n  15 [size=\"116910080\", alpha=\"0.04\", expect_size=\"35073024\"] \n  15 -> 21 [size =\"35073024\"]\n  15 -> 21 [size =\"35073024\"]\n  15 -> 24 [size =\"35073024\"]\n  16 [size=\"131505493\", alpha=\"0.14\", expect_size=\"39451648\"] \n  16 -> 20 [size =\"39451648\"]\n  16 -> 25 [size =\"39451648\"]\n  17 [size=\"113861973\", alpha=\"0.11\", expect_size=\"34158592\"] \n  17 -> 21 [size =\"34158592\"]\n  17 -> 22 [size =\"34158592\"]\n  17 -> 23 [size =\"34158592\"]\n  17 -> 24 [size =\"34158592\"]\n  18 [size=\"103318187\", alpha=\"0.17\", expect_size=\"30995456\"] \n  18 -> 22 [size =\"30995456\"]\n  19 [size=\"164174507\", alpha=\"0.18\", expect_size=\"49252352\"] \n  20 [size=\"153692160\", alpha=\"0.15\", expect_size=\"46107648\"] \n  21 [size=\"89931093\", alpha=\"0.03\", expect_size=\"26979328\"] \n  22 [size=\"33484800\", alpha=\"0.17\", expect_size=\"10045440\"] \n  23 [size=\"43991040\", alpha=\"0.04\", expect_size=\"13197312\"] \n  24 [size=\"119217493\", alpha=\"0.04\", expect_size=\"35765248\"] \n  25 [size=\"56951467\", alpha=\"0.13\", expect_size=\"17085440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28057600\", alpha=\"0.05\", expect_size=\"14028800\"] \n  1 -> 10 [size =\"14028800\"]\n  1 -> 12 [size =\"14028800\"]\n  1 -> 15 [size =\"14028800\"]\n  1 -> 16 [size =\"14028800\"]\n  1 -> 17 [size =\"14028800\"]\n  2 [size=\"24379392\", alpha=\"0.06\", expect_size=\"12189696\"] \n  2 -> 10 [size =\"12189696\"]\n  2 -> 12 [size =\"12189696\"]\n  2 -> 13 [size =\"12189696\"]\n  2 -> 15 [size =\"12189696\"]\n  3 [size=\"65251328\", alpha=\"0.19\", expect_size=\"32625664\"] \n  3 -> 14 [size =\"32625664\"]\n  3 -> 16 [size =\"32625664\"]\n  4 [size=\"98064384\", alpha=\"0.18\", expect_size=\"49032192\"] \n  4 -> 11 [size =\"49032192\"]\n  4 -> 14 [size =\"49032192\"]\n  4 -> 15 [size =\"49032192\"]\n  5 [size=\"12296192\", alpha=\"0.00\", expect_size=\"6148096\"] \n  5 -> 11 [size =\"6148096\"]\n  5 -> 12 [size =\"6148096\"]\n  5 -> 15 [size =\"6148096\"]\n  5 -> 17 [size =\"6148096\"]\n  6 [size=\"44482560\", alpha=\"0.15\", expect_size=\"22241280\"] \n  6 -> 11 [size =\"22241280\"]\n  6 -> 12 [size =\"22241280\"]\n  6 -> 14 [size =\"22241280\"]\n  7 [size=\"102752256\", alpha=\"0.12\", expect_size=\"51376128\"] \n  7 -> 11 [size =\"51376128\"]\n  7 -> 12 [size =\"51376128\"]\n  7 -> 16 [size =\"51376128\"]\n  8 [size=\"80318464\", alpha=\"0.04\", expect_size=\"40159232\"] \n  8 -> 10 [size =\"40159232\"]\n  8 -> 11 [size =\"40159232\"]\n  8 -> 14 [size =\"40159232\"]\n  8 -> 16 [size =\"40159232\"]\n  9 [size=\"99727360\", alpha=\"0.05\", expect_size=\"49863680\"] \n  9 -> 15 [size =\"49863680\"]\n  9 -> 16 [size =\"49863680\"]\n  9 -> 17 [size =\"49863680\"]\n  10 [size=\"67000320\", alpha=\"0.14\", expect_size=\"33500160\"] \n  10 -> 19 [size =\"33500160\"]\n  10 -> 20 [size =\"33500160\"]\n  10 -> 22 [size =\"33500160\"]\n  10 -> 23 [size =\"33500160\"]\n  11 [size=\"78950400\", alpha=\"0.17\", expect_size=\"39475200\"] \n  11 -> 23 [size =\"39475200\"]\n  11 -> 25 [size =\"39475200\"]\n  12 [size=\"101197824\", alpha=\"0.17\", expect_size=\"50598912\"] \n  12 -> 18 [size =\"50598912\"]\n  12 -> 22 [size =\"50598912\"]\n  13 [size=\"34924544\", alpha=\"0.07\", expect_size=\"17462272\"] \n  13 -> 21 [size =\"17462272\"]\n  14 [size=\"29890560\", alpha=\"0.03\", expect_size=\"14945280\"] \n  14 -> 21 [size =\"14945280\"]\n  14 -> 25 [size =\"14945280\"]\n  15 [size=\"22683648\", alpha=\"0.12\", expect_size=\"11341824\"] \n  15 -> 23 [size =\"11341824\"]\n  15 -> 24 [size =\"11341824\"]\n  16 [size=\"23339008\", alpha=\"0.16\", expect_size=\"11669504\"] \n  16 -> 22 [size =\"11669504\"]\n  16 -> 23 [size =\"11669504\"]\n  16 -> 24 [size =\"11669504\"]\n  17 [size=\"95690752\", alpha=\"0.13\", expect_size=\"47845376\"] \n  17 -> 22 [size =\"47845376\"]\n  17 -> 23 [size =\"47845376\"]\n  17 -> 24 [size =\"47845376\"]\n  18 [size=\"56602624\", alpha=\"0.19\", expect_size=\"28301312\"] \n  19 [size=\"77125632\", alpha=\"0.12\", expect_size=\"38562816\"] \n  20 [size=\"98580480\", alpha=\"0.01\", expect_size=\"49290240\"] \n  21 [size=\"68755456\", alpha=\"0.15\", expect_size=\"34377728\"] \n  22 [size=\"52918272\", alpha=\"0.11\", expect_size=\"26459136\"] \n  23 [size=\"38795264\", alpha=\"0.19\", expect_size=\"19397632\"] \n  24 [size=\"72570880\", alpha=\"0.06\", expect_size=\"36285440\"] \n  25 [size=\"85831680\", alpha=\"0.13\", expect_size=\"42915840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88309760\", alpha=\"0.14\", expect_size=\"44154880\"] \n  1 -> 15 [size =\"44154880\"]\n  1 -> 18 [size =\"44154880\"]\n  2 [size=\"92313600\", alpha=\"0.18\", expect_size=\"46156800\"] \n  2 -> 11 [size =\"46156800\"]\n  2 -> 12 [size =\"46156800\"]\n  2 -> 14 [size =\"46156800\"]\n  2 -> 15 [size =\"46156800\"]\n  2 -> 18 [size =\"46156800\"]\n  3 [size=\"33792000\", alpha=\"0.05\", expect_size=\"16896000\"] \n  3 -> 11 [size =\"16896000\"]\n  3 -> 14 [size =\"16896000\"]\n  4 [size=\"31938560\", alpha=\"0.18\", expect_size=\"15969280\"] \n  5 [size=\"98664448\", alpha=\"0.11\", expect_size=\"49332224\"] \n  5 -> 10 [size =\"49332224\"]\n  5 -> 13 [size =\"49332224\"]\n  5 -> 14 [size =\"49332224\"]\n  5 -> 16 [size =\"49332224\"]\n  6 [size=\"33306624\", alpha=\"0.18\", expect_size=\"16653312\"] \n  6 -> 12 [size =\"16653312\"]\n  6 -> 15 [size =\"16653312\"]\n  6 -> 19 [size =\"16653312\"]\n  7 [size=\"65249280\", alpha=\"0.06\", expect_size=\"32624640\"] \n  7 -> 12 [size =\"32624640\"]\n  7 -> 14 [size =\"32624640\"]\n  8 [size=\"28618752\", alpha=\"0.13\", expect_size=\"14309376\"] \n  8 -> 12 [size =\"14309376\"]\n  8 -> 14 [size =\"14309376\"]\n  8 -> 19 [size =\"14309376\"]\n  9 [size=\"88645632\", alpha=\"0.07\", expect_size=\"44322816\"] \n  9 -> 11 [size =\"44322816\"]\n  9 -> 17 [size =\"44322816\"]\n  10 [size=\"87947264\", alpha=\"0.03\", expect_size=\"43973632\"] \n  10 -> 20 [size =\"43973632\"]\n  10 -> 21 [size =\"43973632\"]\n  11 [size=\"15271936\", alpha=\"0.13\", expect_size=\"7635968\"] \n  11 -> 23 [size =\"7635968\"]\n  12 [size=\"78979072\", alpha=\"0.05\", expect_size=\"39489536\"] \n  12 -> 21 [size =\"39489536\"]\n  12 -> 22 [size =\"39489536\"]\n  12 -> 23 [size =\"39489536\"]\n  12 -> 24 [size =\"39489536\"]\n  12 -> 25 [size =\"39489536\"]\n  13 [size=\"70115328\", alpha=\"0.16\", expect_size=\"35057664\"] \n  13 -> 20 [size =\"35057664\"]\n  13 -> 21 [size =\"35057664\"]\n  13 -> 23 [size =\"35057664\"]\n  14 [size=\"95350784\", alpha=\"0.13\", expect_size=\"47675392\"] \n  14 -> 23 [size =\"47675392\"]\n  14 -> 24 [size =\"47675392\"]\n  15 [size=\"86231040\", alpha=\"0.19\", expect_size=\"43115520\"] \n  15 -> 23 [size =\"43115520\"]\n  15 -> 24 [size =\"43115520\"]\n  16 [size=\"42020864\", alpha=\"0.10\", expect_size=\"21010432\"] \n  16 -> 22 [size =\"21010432\"]\n  16 -> 24 [size =\"21010432\"]\n  17 [size=\"33232896\", alpha=\"0.15\", expect_size=\"16616448\"] \n  17 -> 22 [size =\"16616448\"]\n  17 -> 23 [size =\"16616448\"]\n  18 [size=\"63709184\", alpha=\"0.01\", expect_size=\"31854592\"] \n  18 -> 21 [size =\"31854592\"]\n  18 -> 22 [size =\"31854592\"]\n  18 -> 24 [size =\"31854592\"]\n  19 [size=\"28901376\", alpha=\"0.06\", expect_size=\"14450688\"] \n  20 [size=\"61777920\", alpha=\"0.04\", expect_size=\"30888960\"] \n  21 [size=\"74059776\", alpha=\"0.18\", expect_size=\"37029888\"] \n  22 [size=\"40589312\", alpha=\"0.10\", expect_size=\"20294656\"] \n  23 [size=\"64387072\", alpha=\"0.06\", expect_size=\"32193536\"] \n  24 [size=\"43347968\", alpha=\"0.07\", expect_size=\"21673984\"] \n  25 [size=\"11380736\", alpha=\"0.07\", expect_size=\"5690368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29650944\", alpha=\"0.08\", expect_size=\"14825472\"] \n  1 -> 5 [size =\"14825472\"]\n  2 [size=\"62507008\", alpha=\"0.11\", expect_size=\"31253504\"] \n  2 -> 4 [size =\"31253504\"]\n  2 -> 6 [size =\"31253504\"]\n  3 [size=\"104540160\", alpha=\"0.07\", expect_size=\"52270080\"] \n  3 -> 4 [size =\"52270080\"]\n  3 -> 7 [size =\"52270080\"]\n  4 [size=\"28053504\", alpha=\"0.13\", expect_size=\"14026752\"] \n  4 -> 8 [size =\"14026752\"]\n  4 -> 9 [size =\"14026752\"]\n  4 -> 10 [size =\"14026752\"]\n  5 [size=\"92000256\", alpha=\"0.14\", expect_size=\"46000128\"] \n  5 -> 10 [size =\"46000128\"]\n  6 [size=\"25225216\", alpha=\"0.03\", expect_size=\"12612608\"] \n  7 [size=\"83230720\", alpha=\"0.05\", expect_size=\"41615360\"] \n  7 -> 9 [size =\"41615360\"]\n  7 -> 11 [size =\"41615360\"]\n  8 [size=\"104740864\", alpha=\"0.02\", expect_size=\"52370432\"] \n  9 [size=\"39997440\", alpha=\"0.18\", expect_size=\"19998720\"] \n  9 -> 13 [size =\"19998720\"]\n  9 -> 14 [size =\"19998720\"]\n  10 [size=\"84363264\", alpha=\"0.11\", expect_size=\"42181632\"] \n  10 -> 12 [size =\"42181632\"]\n  10 -> 13 [size =\"42181632\"]\n  10 -> 14 [size =\"42181632\"]\n  11 [size=\"93364224\", alpha=\"0.11\", expect_size=\"46682112\"] \n  11 -> 12 [size =\"46682112\"]\n  12 [size=\"38989824\", alpha=\"0.13\", expect_size=\"19494912\"] \n  12 -> 15 [size =\"19494912\"]\n  12 -> 17 [size =\"19494912\"]\n  12 -> 18 [size =\"19494912\"]\n  13 [size=\"89845760\", alpha=\"0.11\", expect_size=\"44922880\"] \n  13 -> 18 [size =\"44922880\"]\n  14 [size=\"29861888\", alpha=\"0.13\", expect_size=\"14930944\"] \n  14 -> 15 [size =\"14930944\"]\n  14 -> 16 [size =\"14930944\"]\n  15 [size=\"90370048\", alpha=\"0.04\", expect_size=\"45185024\"] \n  15 -> 20 [size =\"45185024\"]\n  16 [size=\"62455808\", alpha=\"0.06\", expect_size=\"31227904\"] \n  16 -> 21 [size =\"31227904\"]\n  17 [size=\"78483456\", alpha=\"0.17\", expect_size=\"39241728\"] \n  17 -> 19 [size =\"39241728\"]\n  18 [size=\"101251072\", alpha=\"0.17\", expect_size=\"50625536\"] \n  18 -> 20 [size =\"50625536\"]\n  18 -> 22 [size =\"50625536\"]\n  19 [size=\"14340096\", alpha=\"0.09\", expect_size=\"7170048\"] \n  20 [size=\"101083136\", alpha=\"0.19\", expect_size=\"50541568\"] \n  21 [size=\"57827328\", alpha=\"0.13\", expect_size=\"28913664\"] \n  21 -> 23 [size =\"28913664\"]\n  21 -> 25 [size =\"28913664\"]\n  22 [size=\"16830464\", alpha=\"0.18\", expect_size=\"8415232\"] \n  22 -> 24 [size =\"8415232\"]\n  22 -> 25 [size =\"8415232\"]\n  23 [size=\"79583232\", alpha=\"0.03\", expect_size=\"39791616\"] \n  24 [size=\"38174720\", alpha=\"0.12\", expect_size=\"19087360\"] \n  25 [size=\"97890304\", alpha=\"0.18\", expect_size=\"48945152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139223040\", alpha=\"0.12\", expect_size=\"41766912\"] \n  1 -> 2 [size =\"41766912\"]\n  1 -> 3 [size =\"41766912\"]\n  2 [size=\"20060160\", alpha=\"0.14\", expect_size=\"6018048\"] \n  3 [size=\"64614400\", alpha=\"0.16\", expect_size=\"19384320\"] \n  3 -> 4 [size =\"19384320\"]\n  3 -> 5 [size =\"19384320\"]\n  4 [size=\"114036053\", alpha=\"0.10\", expect_size=\"34210816\"] \n  5 [size=\"114158933\", alpha=\"0.12\", expect_size=\"34247680\"] \n  5 -> 6 [size =\"34247680\"]\n  5 -> 7 [size =\"34247680\"]\n  6 [size=\"141837653\", alpha=\"0.11\", expect_size=\"42551296\"] \n  7 [size=\"132717227\", alpha=\"0.06\", expect_size=\"39815168\"] \n  7 -> 8 [size =\"39815168\"]\n  7 -> 9 [size =\"39815168\"]\n  8 [size=\"63546027\", alpha=\"0.12\", expect_size=\"19063808\"] \n  9 [size=\"162696533\", alpha=\"0.03\", expect_size=\"48808960\"] \n  9 -> 10 [size =\"48808960\"]\n  9 -> 11 [size =\"48808960\"]\n  10 [size=\"71133867\", alpha=\"0.05\", expect_size=\"21340160\"] \n  11 [size=\"51206827\", alpha=\"0.16\", expect_size=\"15362048\"] \n  11 -> 12 [size =\"15362048\"]\n  11 -> 13 [size =\"15362048\"]\n  12 [size=\"144452267\", alpha=\"0.19\", expect_size=\"43335680\"] \n  13 [size=\"97488213\", alpha=\"0.00\", expect_size=\"29246464\"] \n  13 -> 14 [size =\"29246464\"]\n  14 [size=\"68143787\", alpha=\"0.05\", expect_size=\"20443136\"] \n  14 -> 15 [size =\"20443136\"]\n  14 -> 16 [size =\"20443136\"]\n  15 [size=\"143213227\", alpha=\"0.18\", expect_size=\"42963968\"] \n  16 [size=\"82182827\", alpha=\"0.12\", expect_size=\"24654848\"] \n  16 -> 17 [size =\"24654848\"]\n  16 -> 18 [size =\"24654848\"]\n  17 [size=\"168273920\", alpha=\"0.18\", expect_size=\"50482176\"] \n  17 -> 19 [size =\"50482176\"]\n  17 -> 20 [size =\"50482176\"]\n  18 [size=\"58183680\", alpha=\"0.20\", expect_size=\"17455104\"] \n  19 [size=\"150756693\", alpha=\"0.14\", expect_size=\"45227008\"] \n  20 [size=\"17537707\", alpha=\"0.14\", expect_size=\"5261312\"] \n  20 -> 21 [size =\"5261312\"]\n  21 [size=\"56258560\", alpha=\"0.10\", expect_size=\"16877568\"] \n  21 -> 22 [size =\"16877568\"]\n  22 [size=\"22746453\", alpha=\"0.07\", expect_size=\"6823936\"] \n  22 -> 23 [size =\"6823936\"]\n  23 [size=\"174346240\", alpha=\"0.09\", expect_size=\"52303872\"] \n  23 -> 24 [size =\"52303872\"]\n  23 -> 25 [size =\"52303872\"]\n  24 [size=\"19066880\", alpha=\"0.04\", expect_size=\"5720064\"] \n  25 [size=\"54695253\", alpha=\"0.11\", expect_size=\"16408576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125893973\", alpha=\"0.01\", expect_size=\"37768192\"] \n  1 -> 2 [size =\"37768192\"]\n  2 [size=\"75683840\", alpha=\"0.11\", expect_size=\"22705152\"] \n  2 -> 3 [size =\"22705152\"]\n  3 [size=\"35938987\", alpha=\"0.12\", expect_size=\"10781696\"] \n  3 -> 4 [size =\"10781696\"]\n  4 [size=\"153965227\", alpha=\"0.12\", expect_size=\"46189568\"] \n  4 -> 5 [size =\"46189568\"]\n  5 [size=\"160153600\", alpha=\"0.07\", expect_size=\"48046080\"] \n  5 -> 6 [size =\"48046080\"]\n  6 [size=\"122791253\", alpha=\"0.12\", expect_size=\"36837376\"] \n  6 -> 7 [size =\"36837376\"]\n  7 [size=\"145479680\", alpha=\"0.09\", expect_size=\"43643904\"] \n  7 -> 8 [size =\"43643904\"]\n  8 [size=\"20162560\", alpha=\"0.12\", expect_size=\"6048768\"] \n  8 -> 9 [size =\"6048768\"]\n  9 [size=\"164058453\", alpha=\"0.19\", expect_size=\"49217536\"] \n  9 -> 10 [size =\"49217536\"]\n  10 [size=\"73239893\", alpha=\"0.11\", expect_size=\"21971968\"] \n  10 -> 11 [size =\"21971968\"]\n  11 [size=\"87456427\", alpha=\"0.19\", expect_size=\"26236928\"] \n  11 -> 12 [size =\"26236928\"]\n  12 [size=\"91603627\", alpha=\"0.04\", expect_size=\"27481088\"] \n  12 -> 13 [size =\"27481088\"]\n  13 [size=\"20418560\", alpha=\"0.15\", expect_size=\"6125568\"] \n  13 -> 14 [size =\"6125568\"]\n  14 [size=\"114691413\", alpha=\"0.08\", expect_size=\"34407424\"] \n  14 -> 15 [size =\"34407424\"]\n  15 [size=\"52855467\", alpha=\"0.19\", expect_size=\"15856640\"] \n  15 -> 16 [size =\"15856640\"]\n  16 [size=\"108660053\", alpha=\"0.01\", expect_size=\"32598016\"] \n  16 -> 17 [size =\"32598016\"]\n  17 [size=\"46428160\", alpha=\"0.08\", expect_size=\"13928448\"] \n  17 -> 18 [size =\"13928448\"]\n  18 [size=\"120378027\", alpha=\"0.13\", expect_size=\"36113408\"] \n  18 -> 19 [size =\"36113408\"]\n  19 [size=\"57876480\", alpha=\"0.08\", expect_size=\"17362944\"] \n  19 -> 20 [size =\"17362944\"]\n  20 [size=\"51875840\", alpha=\"0.12\", expect_size=\"15562752\"] \n  20 -> 21 [size =\"15562752\"]\n  21 [size=\"135727787\", alpha=\"0.11\", expect_size=\"40718336\"] \n  21 -> 22 [size =\"40718336\"]\n  22 [size=\"127610880\", alpha=\"0.16\", expect_size=\"38283264\"] \n  22 -> 23 [size =\"38283264\"]\n  23 [size=\"160628053\", alpha=\"0.04\", expect_size=\"48188416\"] \n  23 -> 24 [size =\"48188416\"]\n  24 [size=\"119268693\", alpha=\"0.10\", expect_size=\"35780608\"] \n  24 -> 25 [size =\"35780608\"]\n  25 [size=\"23285760\", alpha=\"0.14\", expect_size=\"6985728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86891520\", alpha=\"0.12\", expect_size=\"34756608\"] \n  1 -> 2 [size =\"34756608\"]\n  2 [size=\"90554880\", alpha=\"0.02\", expect_size=\"36221952\"] \n  2 -> 3 [size =\"36221952\"]\n  3 [size=\"115310080\", alpha=\"0.06\", expect_size=\"46124032\"] \n  3 -> 4 [size =\"46124032\"]\n  4 [size=\"35399680\", alpha=\"0.09\", expect_size=\"14159872\"] \n  4 -> 5 [size =\"14159872\"]\n  5 [size=\"18314240\", alpha=\"0.12\", expect_size=\"7325696\"] \n  5 -> 6 [size =\"7325696\"]\n  6 [size=\"19765760\", alpha=\"0.02\", expect_size=\"7906304\"] \n  6 -> 7 [size =\"7906304\"]\n  7 [size=\"75299840\", alpha=\"0.12\", expect_size=\"30119936\"] \n  7 -> 8 [size =\"30119936\"]\n  8 [size=\"41359360\", alpha=\"0.00\", expect_size=\"16543744\"] \n  8 -> 9 [size =\"16543744\"]\n  9 [size=\"44492800\", alpha=\"0.09\", expect_size=\"17797120\"] \n  9 -> 10 [size =\"17797120\"]\n  10 [size=\"83924480\", alpha=\"0.08\", expect_size=\"33569792\"] \n  10 -> 11 [size =\"33569792\"]\n  11 [size=\"68989440\", alpha=\"0.15\", expect_size=\"27595776\"] \n  11 -> 12 [size =\"27595776\"]\n  12 [size=\"20538880\", alpha=\"0.16\", expect_size=\"8215552\"] \n  12 -> 13 [size =\"8215552\"]\n  13 [size=\"31040000\", alpha=\"0.16\", expect_size=\"12416000\"] \n  13 -> 14 [size =\"12416000\"]\n  14 [size=\"65198080\", alpha=\"0.01\", expect_size=\"26079232\"] \n  14 -> 15 [size =\"26079232\"]\n  15 [size=\"119027200\", alpha=\"0.04\", expect_size=\"47610880\"] \n  15 -> 16 [size =\"47610880\"]\n  16 [size=\"73674240\", alpha=\"0.15\", expect_size=\"29469696\"] \n  16 -> 17 [size =\"29469696\"]\n  17 [size=\"84615680\", alpha=\"0.02\", expect_size=\"33846272\"] \n  17 -> 18 [size =\"33846272\"]\n  18 [size=\"36167680\", alpha=\"0.10\", expect_size=\"14467072\"] \n  18 -> 19 [size =\"14467072\"]\n  19 [size=\"37657600\", alpha=\"0.03\", expect_size=\"15063040\"] \n  19 -> 20 [size =\"15063040\"]\n  20 [size=\"90224640\", alpha=\"0.14\", expect_size=\"36089856\"] \n  20 -> 21 [size =\"36089856\"]\n  21 [size=\"22364160\", alpha=\"0.18\", expect_size=\"8945664\"] \n  21 -> 22 [size =\"8945664\"]\n  22 [size=\"113392640\", alpha=\"0.15\", expect_size=\"45357056\"] \n  22 -> 23 [size =\"45357056\"]\n  23 [size=\"89047040\", alpha=\"0.09\", expect_size=\"35618816\"] \n  23 -> 24 [size =\"35618816\"]\n  24 [size=\"65994240\", alpha=\"0.07\", expect_size=\"26397696\"] \n  24 -> 25 [size =\"26397696\"]\n  25 [size=\"74342400\", alpha=\"0.06\", expect_size=\"29736960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48002560\", alpha=\"0.20\", expect_size=\"19201024\"] \n  1 -> 3 [size =\"19201024\"]\n  1 -> 4 [size =\"19201024\"]\n  2 [size=\"15969280\", alpha=\"0.16\", expect_size=\"6387712\"] \n  2 -> 3 [size =\"6387712\"]\n  3 [size=\"17963520\", alpha=\"0.16\", expect_size=\"7185408\"] \n  3 -> 5 [size =\"7185408\"]\n  3 -> 6 [size =\"7185408\"]\n  4 [size=\"120094720\", alpha=\"0.08\", expect_size=\"48037888\"] \n  4 -> 5 [size =\"48037888\"]\n  5 [size=\"103534080\", alpha=\"0.19\", expect_size=\"41413632\"] \n  6 [size=\"62750720\", alpha=\"0.09\", expect_size=\"25100288\"] \n  6 -> 7 [size =\"25100288\"]\n  7 [size=\"115302400\", alpha=\"0.09\", expect_size=\"46120960\"] \n  7 -> 8 [size =\"46120960\"]\n  8 [size=\"39180800\", alpha=\"0.01\", expect_size=\"15672320\"] \n  8 -> 9 [size =\"15672320\"]\n  9 [size=\"47239680\", alpha=\"0.07\", expect_size=\"18895872\"] \n  9 -> 10 [size =\"18895872\"]\n  10 [size=\"28741120\", alpha=\"0.12\", expect_size=\"11496448\"] \n  10 -> 11 [size =\"11496448\"]\n  10 -> 12 [size =\"11496448\"]\n  11 [size=\"46922240\", alpha=\"0.09\", expect_size=\"18768896\"] \n  12 [size=\"46456320\", alpha=\"0.06\", expect_size=\"18582528\"] \n  12 -> 13 [size =\"18582528\"]\n  13 [size=\"23370240\", alpha=\"0.19\", expect_size=\"9348096\"] \n  13 -> 14 [size =\"9348096\"]\n  14 [size=\"120596480\", alpha=\"0.10\", expect_size=\"48238592\"] \n  14 -> 15 [size =\"48238592\"]\n  14 -> 16 [size =\"48238592\"]\n  15 [size=\"47106560\", alpha=\"0.00\", expect_size=\"18842624\"] \n  15 -> 17 [size =\"18842624\"]\n  16 [size=\"43207680\", alpha=\"0.18\", expect_size=\"17283072\"] \n  17 [size=\"97300480\", alpha=\"0.02\", expect_size=\"38920192\"] \n  17 -> 18 [size =\"38920192\"]\n  18 [size=\"30131200\", alpha=\"0.13\", expect_size=\"12052480\"] \n  18 -> 19 [size =\"12052480\"]\n  19 [size=\"34513920\", alpha=\"0.14\", expect_size=\"13805568\"] \n  19 -> 20 [size =\"13805568\"]\n  19 -> 21 [size =\"13805568\"]\n  20 [size=\"74933760\", alpha=\"0.07\", expect_size=\"29973504\"] \n  21 [size=\"29662720\", alpha=\"0.06\", expect_size=\"11865088\"] \n  21 -> 22 [size =\"11865088\"]\n  21 -> 23 [size =\"11865088\"]\n  22 [size=\"82552320\", alpha=\"0.05\", expect_size=\"33020928\"] \n  23 [size=\"120074240\", alpha=\"0.06\", expect_size=\"48029696\"] \n  23 -> 24 [size =\"48029696\"]\n  24 [size=\"115425280\", alpha=\"0.04\", expect_size=\"46170112\"] \n  24 -> 25 [size =\"46170112\"]\n  25 [size=\"57541120\", alpha=\"0.18\", expect_size=\"23016448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21427200\", alpha=\"0.02\", expect_size=\"8570880\"] \n  1 -> 7 [size =\"8570880\"]\n  1 -> 8 [size =\"8570880\"]\n  2 [size=\"29091840\", alpha=\"0.05\", expect_size=\"11636736\"] \n  2 -> 6 [size =\"11636736\"]\n  2 -> 7 [size =\"11636736\"]\n  2 -> 9 [size =\"11636736\"]\n  3 [size=\"62758400\", alpha=\"0.11\", expect_size=\"25103360\"] \n  3 -> 5 [size =\"25103360\"]\n  3 -> 7 [size =\"25103360\"]\n  3 -> 9 [size =\"25103360\"]\n  4 [size=\"89896960\", alpha=\"0.14\", expect_size=\"35958784\"] \n  4 -> 9 [size =\"35958784\"]\n  5 [size=\"92464640\", alpha=\"0.13\", expect_size=\"36985856\"] \n  5 -> 11 [size =\"36985856\"]\n  6 [size=\"47984640\", alpha=\"0.01\", expect_size=\"19193856\"] \n  6 -> 10 [size =\"19193856\"]\n  7 [size=\"86896640\", alpha=\"0.17\", expect_size=\"34758656\"] \n  7 -> 12 [size =\"34758656\"]\n  8 [size=\"103129600\", alpha=\"0.01\", expect_size=\"41251840\"] \n  8 -> 10 [size =\"41251840\"]\n  8 -> 11 [size =\"41251840\"]\n  9 [size=\"66022400\", alpha=\"0.06\", expect_size=\"26408960\"] \n  9 -> 11 [size =\"26408960\"]\n  10 [size=\"129295360\", alpha=\"0.14\", expect_size=\"51718144\"] \n  10 -> 13 [size =\"51718144\"]\n  10 -> 15 [size =\"51718144\"]\n  11 [size=\"128128000\", alpha=\"0.14\", expect_size=\"51251200\"] \n  11 -> 14 [size =\"51251200\"]\n  11 -> 15 [size =\"51251200\"]\n  11 -> 16 [size =\"51251200\"]\n  12 [size=\"23040000\", alpha=\"0.12\", expect_size=\"9216000\"] \n  12 -> 14 [size =\"9216000\"]\n  12 -> 16 [size =\"9216000\"]\n  13 [size=\"53606400\", alpha=\"0.09\", expect_size=\"21442560\"] \n  13 -> 20 [size =\"21442560\"]\n  14 [size=\"118881280\", alpha=\"0.03\", expect_size=\"47552512\"] \n  14 -> 18 [size =\"47552512\"]\n  15 [size=\"83691520\", alpha=\"0.06\", expect_size=\"33476608\"] \n  15 -> 17 [size =\"33476608\"]\n  15 -> 18 [size =\"33476608\"]\n  15 -> 19 [size =\"33476608\"]\n  16 [size=\"43148800\", alpha=\"0.07\", expect_size=\"17259520\"] \n  16 -> 17 [size =\"17259520\"]\n  16 -> 20 [size =\"17259520\"]\n  17 [size=\"46553600\", alpha=\"0.03\", expect_size=\"18621440\"] \n  17 -> 21 [size =\"18621440\"]\n  18 [size=\"26769920\", alpha=\"0.04\", expect_size=\"10707968\"] \n  18 -> 21 [size =\"10707968\"]\n  18 -> 22 [size =\"10707968\"]\n  19 [size=\"31475200\", alpha=\"0.03\", expect_size=\"12590080\"] \n  19 -> 21 [size =\"12590080\"]\n  19 -> 22 [size =\"12590080\"]\n  20 [size=\"67763200\", alpha=\"0.19\", expect_size=\"27105280\"] \n  20 -> 22 [size =\"27105280\"]\n  20 -> 23 [size =\"27105280\"]\n  21 [size=\"32898560\", alpha=\"0.17\", expect_size=\"13159424\"] \n  21 -> 24 [size =\"13159424\"]\n  22 [size=\"113297920\", alpha=\"0.18\", expect_size=\"45319168\"] \n  22 -> 25 [size =\"45319168\"]\n  23 [size=\"64596480\", alpha=\"0.07\", expect_size=\"25838592\"] \n  23 -> 24 [size =\"25838592\"]\n  24 [size=\"115256320\", alpha=\"0.09\", expect_size=\"46102528\"] \n  25 [size=\"130690560\", alpha=\"0.05\", expect_size=\"52276224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72323072\", alpha=\"0.15\", expect_size=\"36161536\"] \n  1 -> 6 [size =\"36161536\"]\n  2 [size=\"71639040\", alpha=\"0.11\", expect_size=\"35819520\"] \n  2 -> 7 [size =\"35819520\"]\n  3 [size=\"59244544\", alpha=\"0.09\", expect_size=\"29622272\"] \n  4 [size=\"10940416\", alpha=\"0.12\", expect_size=\"5470208\"] \n  4 -> 5 [size =\"5470208\"]\n  4 -> 6 [size =\"5470208\"]\n  5 [size=\"56270848\", alpha=\"0.15\", expect_size=\"28135424\"] \n  5 -> 8 [size =\"28135424\"]\n  6 [size=\"75395072\", alpha=\"0.19\", expect_size=\"37697536\"] \n  6 -> 9 [size =\"37697536\"]\n  7 [size=\"64079872\", alpha=\"0.04\", expect_size=\"32039936\"] \n  7 -> 10 [size =\"32039936\"]\n  7 -> 11 [size =\"32039936\"]\n  8 [size=\"50941952\", alpha=\"0.05\", expect_size=\"25470976\"] \n  8 -> 12 [size =\"25470976\"]\n  8 -> 14 [size =\"25470976\"]\n  8 -> 15 [size =\"25470976\"]\n  9 [size=\"41336832\", alpha=\"0.02\", expect_size=\"20668416\"] \n  9 -> 12 [size =\"20668416\"]\n  9 -> 13 [size =\"20668416\"]\n  10 [size=\"104740864\", alpha=\"0.19\", expect_size=\"52370432\"] \n  10 -> 14 [size =\"52370432\"]\n  11 [size=\"29857792\", alpha=\"0.11\", expect_size=\"14928896\"] \n  12 [size=\"102694912\", alpha=\"0.15\", expect_size=\"51347456\"] \n  13 [size=\"60581888\", alpha=\"0.02\", expect_size=\"30290944\"] \n  13 -> 17 [size =\"30290944\"]\n  13 -> 18 [size =\"30290944\"]\n  14 [size=\"104294400\", alpha=\"0.16\", expect_size=\"52147200\"] \n  15 [size=\"64380928\", alpha=\"0.12\", expect_size=\"32190464\"] \n  15 -> 16 [size =\"32190464\"]\n  15 -> 17 [size =\"32190464\"]\n  16 [size=\"40949760\", alpha=\"0.08\", expect_size=\"20474880\"] \n  16 -> 19 [size =\"20474880\"]\n  16 -> 22 [size =\"20474880\"]\n  17 [size=\"38371328\", alpha=\"0.11\", expect_size=\"19185664\"] \n  17 -> 20 [size =\"19185664\"]\n  18 [size=\"57729024\", alpha=\"0.04\", expect_size=\"28864512\"] \n  18 -> 19 [size =\"28864512\"]\n  18 -> 20 [size =\"28864512\"]\n  18 -> 21 [size =\"28864512\"]\n  19 [size=\"81364992\", alpha=\"0.02\", expect_size=\"40682496\"] \n  19 -> 24 [size =\"40682496\"]\n  19 -> 25 [size =\"40682496\"]\n  20 [size=\"92643328\", alpha=\"0.05\", expect_size=\"46321664\"] \n  20 -> 24 [size =\"46321664\"]\n  21 [size=\"88233984\", alpha=\"0.00\", expect_size=\"44116992\"] \n  22 [size=\"44433408\", alpha=\"0.09\", expect_size=\"22216704\"] \n  22 -> 23 [size =\"22216704\"]\n  22 -> 25 [size =\"22216704\"]\n  23 [size=\"21663744\", alpha=\"0.08\", expect_size=\"10831872\"] \n  24 [size=\"28887040\", alpha=\"0.07\", expect_size=\"14443520\"] \n  25 [size=\"104128512\", alpha=\"0.16\", expect_size=\"52064256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13692928\", alpha=\"0.12\", expect_size=\"6846464\"] \n  1 -> 2 [size =\"6846464\"]\n  2 [size=\"22034432\", alpha=\"0.10\", expect_size=\"11017216\"] \n  2 -> 3 [size =\"11017216\"]\n  3 [size=\"33001472\", alpha=\"0.09\", expect_size=\"16500736\"] \n  3 -> 4 [size =\"16500736\"]\n  4 [size=\"15390720\", alpha=\"0.05\", expect_size=\"7695360\"] \n  4 -> 5 [size =\"7695360\"]\n  5 [size=\"55967744\", alpha=\"0.09\", expect_size=\"27983872\"] \n  5 -> 6 [size =\"27983872\"]\n  6 [size=\"97740800\", alpha=\"0.20\", expect_size=\"48870400\"] \n  6 -> 7 [size =\"48870400\"]\n  7 [size=\"37152768\", alpha=\"0.16\", expect_size=\"18576384\"] \n  7 -> 8 [size =\"18576384\"]\n  8 [size=\"73406464\", alpha=\"0.01\", expect_size=\"36703232\"] \n  8 -> 9 [size =\"36703232\"]\n  9 [size=\"22951936\", alpha=\"0.19\", expect_size=\"11475968\"] \n  9 -> 10 [size =\"11475968\"]\n  10 [size=\"104321024\", alpha=\"0.00\", expect_size=\"52160512\"] \n  10 -> 11 [size =\"52160512\"]\n  11 [size=\"50917376\", alpha=\"0.12\", expect_size=\"25458688\"] \n  11 -> 12 [size =\"25458688\"]\n  12 [size=\"13033472\", alpha=\"0.08\", expect_size=\"6516736\"] \n  12 -> 13 [size =\"6516736\"]\n  13 [size=\"58822656\", alpha=\"0.05\", expect_size=\"29411328\"] \n  13 -> 14 [size =\"29411328\"]\n  14 [size=\"102215680\", alpha=\"0.04\", expect_size=\"51107840\"] \n  14 -> 15 [size =\"51107840\"]\n  15 [size=\"30083072\", alpha=\"0.18\", expect_size=\"15041536\"] \n  15 -> 16 [size =\"15041536\"]\n  16 [size=\"70647808\", alpha=\"0.06\", expect_size=\"35323904\"] \n  16 -> 17 [size =\"35323904\"]\n  17 [size=\"68515840\", alpha=\"0.06\", expect_size=\"34257920\"] \n  17 -> 18 [size =\"34257920\"]\n  18 [size=\"47726592\", alpha=\"0.03\", expect_size=\"23863296\"] \n  18 -> 19 [size =\"23863296\"]\n  19 [size=\"50632704\", alpha=\"0.17\", expect_size=\"25316352\"] \n  19 -> 20 [size =\"25316352\"]\n  20 [size=\"48232448\", alpha=\"0.13\", expect_size=\"24116224\"] \n  20 -> 21 [size =\"24116224\"]\n  21 [size=\"50286592\", alpha=\"0.09\", expect_size=\"25143296\"] \n  21 -> 22 [size =\"25143296\"]\n  22 [size=\"14782464\", alpha=\"0.08\", expect_size=\"7391232\"] \n  22 -> 23 [size =\"7391232\"]\n  23 [size=\"53153792\", alpha=\"0.11\", expect_size=\"26576896\"] \n  23 -> 24 [size =\"26576896\"]\n  24 [size=\"77879296\", alpha=\"0.16\", expect_size=\"38939648\"] \n  24 -> 25 [size =\"38939648\"]\n  25 [size=\"98453504\", alpha=\"0.10\", expect_size=\"49226752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168751787\", alpha=\"0.03\", expect_size=\"50625536\"] \n  2 [size=\"147981653\", alpha=\"0.02\", expect_size=\"44394496\"] \n  2 -> 8 [size =\"44394496\"]\n  2 -> 9 [size =\"44394496\"]\n  2 -> 15 [size =\"44394496\"]\n  3 [size=\"124313600\", alpha=\"0.13\", expect_size=\"37294080\"] \n  3 -> 9 [size =\"37294080\"]\n  3 -> 11 [size =\"37294080\"]\n  3 -> 13 [size =\"37294080\"]\n  4 [size=\"130099200\", alpha=\"0.16\", expect_size=\"39029760\"] \n  4 -> 8 [size =\"39029760\"]\n  4 -> 13 [size =\"39029760\"]\n  5 [size=\"52425387\", alpha=\"0.17\", expect_size=\"15727616\"] \n  5 -> 15 [size =\"15727616\"]\n  6 [size=\"36662613\", alpha=\"0.09\", expect_size=\"10998784\"] \n  6 -> 12 [size =\"10998784\"]\n  6 -> 14 [size =\"10998784\"]\n  7 [size=\"172677120\", alpha=\"0.18\", expect_size=\"51803136\"] \n  7 -> 10 [size =\"51803136\"]\n  7 -> 12 [size =\"51803136\"]\n  7 -> 13 [size =\"51803136\"]\n  7 -> 15 [size =\"51803136\"]\n  8 [size=\"91518293\", alpha=\"0.09\", expect_size=\"27455488\"] \n  8 -> 17 [size =\"27455488\"]\n  8 -> 19 [size =\"27455488\"]\n  8 -> 20 [size =\"27455488\"]\n  9 [size=\"61815467\", alpha=\"0.14\", expect_size=\"18544640\"] \n  9 -> 16 [size =\"18544640\"]\n  9 -> 17 [size =\"18544640\"]\n  10 [size=\"113513813\", alpha=\"0.15\", expect_size=\"34054144\"] \n  10 -> 16 [size =\"34054144\"]\n  10 -> 18 [size =\"34054144\"]\n  11 [size=\"105437867\", alpha=\"0.10\", expect_size=\"31631360\"] \n  12 [size=\"128443733\", alpha=\"0.16\", expect_size=\"38533120\"] \n  12 -> 18 [size =\"38533120\"]\n  13 [size=\"145012053\", alpha=\"0.03\", expect_size=\"43503616\"] \n  13 -> 17 [size =\"43503616\"]\n  13 -> 18 [size =\"43503616\"]\n  13 -> 20 [size =\"43503616\"]\n  14 [size=\"90415787\", alpha=\"0.08\", expect_size=\"27124736\"] \n  15 [size=\"58077867\", alpha=\"0.04\", expect_size=\"17423360\"] \n  15 -> 16 [size =\"17423360\"]\n  15 -> 19 [size =\"17423360\"]\n  16 [size=\"33119573\", alpha=\"0.15\", expect_size=\"9935872\"] \n  16 -> 25 [size =\"9935872\"]\n  17 [size=\"105222827\", alpha=\"0.01\", expect_size=\"31566848\"] \n  17 -> 21 [size =\"31566848\"]\n  17 -> 25 [size =\"31566848\"]\n  18 [size=\"86162773\", alpha=\"0.01\", expect_size=\"25848832\"] \n  18 -> 22 [size =\"25848832\"]\n  19 [size=\"160460800\", alpha=\"0.08\", expect_size=\"48138240\"] \n  19 -> 24 [size =\"48138240\"]\n  19 -> 25 [size =\"48138240\"]\n  20 [size=\"112752640\", alpha=\"0.04\", expect_size=\"33825792\"] \n  20 -> 23 [size =\"33825792\"]\n  20 -> 24 [size =\"33825792\"]\n  21 [size=\"76953600\", alpha=\"0.19\", expect_size=\"23086080\"] \n  22 [size=\"153193813\", alpha=\"0.10\", expect_size=\"45958144\"] \n  23 [size=\"119145813\", alpha=\"0.15\", expect_size=\"35743744\"] \n  24 [size=\"142274560\", alpha=\"0.14\", expect_size=\"42682368\"] \n  25 [size=\"51510613\", alpha=\"0.18\", expect_size=\"15453184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93713920\", alpha=\"0.07\", expect_size=\"37485568\"] \n  1 -> 19 [size =\"37485568\"]\n  1 -> 21 [size =\"37485568\"]\n  1 -> 22 [size =\"37485568\"]\n  1 -> 23 [size =\"37485568\"]\n  2 [size=\"31598080\", alpha=\"0.08\", expect_size=\"12639232\"] \n  2 -> 19 [size =\"12639232\"]\n  2 -> 22 [size =\"12639232\"]\n  2 -> 22 [size =\"12639232\"]\n  2 -> 23 [size =\"12639232\"]\n  2 -> 25 [size =\"12639232\"]\n  3 [size=\"61844480\", alpha=\"0.04\", expect_size=\"24737792\"] \n  3 -> 19 [size =\"24737792\"]\n  3 -> 21 [size =\"24737792\"]\n  3 -> 22 [size =\"24737792\"]\n  3 -> 23 [size =\"24737792\"]\n  3 -> 24 [size =\"24737792\"]\n  3 -> 25 [size =\"24737792\"]\n  4 [size=\"94676480\", alpha=\"0.07\", expect_size=\"37870592\"] \n  4 -> 19 [size =\"37870592\"]\n  4 -> 22 [size =\"37870592\"]\n  4 -> 23 [size =\"37870592\"]\n  4 -> 24 [size =\"37870592\"]\n  4 -> 24 [size =\"37870592\"]\n  4 -> 25 [size =\"37870592\"]\n  5 [size=\"103249920\", alpha=\"0.02\", expect_size=\"41299968\"] \n  5 -> 22 [size =\"41299968\"]\n  5 -> 24 [size =\"41299968\"]\n  6 [size=\"107781120\", alpha=\"0.19\", expect_size=\"43112448\"] \n  6 -> 19 [size =\"43112448\"]\n  6 -> 23 [size =\"43112448\"]\n  6 -> 24 [size =\"43112448\"]\n  6 -> 25 [size =\"43112448\"]\n  7 [size=\"98790400\", alpha=\"0.08\", expect_size=\"39516160\"] \n  7 -> 19 [size =\"39516160\"]\n  7 -> 24 [size =\"39516160\"]\n  7 -> 24 [size =\"39516160\"]\n  7 -> 25 [size =\"39516160\"]\n  8 [size=\"15854080\", alpha=\"0.09\", expect_size=\"6341632\"] \n  9 [size=\"122923520\", alpha=\"0.20\", expect_size=\"49169408\"] \n  9 -> 19 [size =\"49169408\"]\n  9 -> 24 [size =\"49169408\"]\n  10 [size=\"16161280\", alpha=\"0.11\", expect_size=\"6464512\"] \n  10 -> 19 [size =\"6464512\"]\n  10 -> 22 [size =\"6464512\"]\n  10 -> 24 [size =\"6464512\"]\n  10 -> 25 [size =\"6464512\"]\n  11 [size=\"101370880\", alpha=\"0.03\", expect_size=\"40548352\"] \n  11 -> 19 [size =\"40548352\"]\n  11 -> 21 [size =\"40548352\"]\n  11 -> 22 [size =\"40548352\"]\n  11 -> 24 [size =\"40548352\"]\n  11 -> 25 [size =\"40548352\"]\n  12 [size=\"22789120\", alpha=\"0.10\", expect_size=\"9115648\"] \n  12 -> 19 [size =\"9115648\"]\n  12 -> 21 [size =\"9115648\"]\n  12 -> 22 [size =\"9115648\"]\n  12 -> 23 [size =\"9115648\"]\n  12 -> 24 [size =\"9115648\"]\n  13 [size=\"72878080\", alpha=\"0.06\", expect_size=\"29151232\"] \n  13 -> 19 [size =\"29151232\"]\n  13 -> 21 [size =\"29151232\"]\n  13 -> 22 [size =\"29151232\"]\n  13 -> 24 [size =\"29151232\"]\n  14 [size=\"96949760\", alpha=\"0.05\", expect_size=\"38779904\"] \n  14 -> 19 [size =\"38779904\"]\n  14 -> 21 [size =\"38779904\"]\n  14 -> 22 [size =\"38779904\"]\n  14 -> 23 [size =\"38779904\"]\n  14 -> 24 [size =\"38779904\"]\n  14 -> 25 [size =\"38779904\"]\n  15 [size=\"17518080\", alpha=\"0.19\", expect_size=\"7007232\"] \n  15 -> 19 [size =\"7007232\"]\n  15 -> 21 [size =\"7007232\"]\n  15 -> 22 [size =\"7007232\"]\n  15 -> 25 [size =\"7007232\"]\n  16 [size=\"28597760\", alpha=\"0.04\", expect_size=\"11439104\"] \n  16 -> 21 [size =\"11439104\"]\n  16 -> 21 [size =\"11439104\"]\n  16 -> 22 [size =\"11439104\"]\n  17 [size=\"23388160\", alpha=\"0.05\", expect_size=\"9355264\"] \n  17 -> 19 [size =\"9355264\"]\n  17 -> 20 [size =\"9355264\"]\n  17 -> 21 [size =\"9355264\"]\n  17 -> 22 [size =\"9355264\"]\n  17 -> 23 [size =\"9355264\"]\n  17 -> 24 [size =\"9355264\"]\n  18 [size=\"71111680\", alpha=\"0.12\", expect_size=\"28444672\"] \n  18 -> 19 [size =\"28444672\"]\n  18 -> 21 [size =\"28444672\"]\n  18 -> 22 [size =\"28444672\"]\n  18 -> 22 [size =\"28444672\"]\n  19 [size=\"123466240\", alpha=\"0.20\", expect_size=\"49386496\"] \n  20 [size=\"121592320\", alpha=\"0.09\", expect_size=\"48636928\"] \n  21 [size=\"66457600\", alpha=\"0.11\", expect_size=\"26583040\"] \n  22 [size=\"81203200\", alpha=\"0.17\", expect_size=\"32481280\"] \n  23 [size=\"21913600\", alpha=\"0.11\", expect_size=\"8765440\"] \n  24 [size=\"54568960\", alpha=\"0.19\", expect_size=\"21827584\"] \n  25 [size=\"82624000\", alpha=\"0.02\", expect_size=\"33049600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68644864\", alpha=\"0.07\", expect_size=\"34322432\"] \n  1 -> 2 [size =\"34322432\"]\n  1 -> 3 [size =\"34322432\"]\n  2 [size=\"27256832\", alpha=\"0.05\", expect_size=\"13628416\"] \n  2 -> 4 [size =\"13628416\"]\n  3 [size=\"38791168\", alpha=\"0.07\", expect_size=\"19395584\"] \n  3 -> 4 [size =\"19395584\"]\n  4 [size=\"34787328\", alpha=\"0.03\", expect_size=\"17393664\"] \n  4 -> 5 [size =\"17393664\"]\n  4 -> 6 [size =\"17393664\"]\n  5 [size=\"26001408\", alpha=\"0.14\", expect_size=\"13000704\"] \n  5 -> 7 [size =\"13000704\"]\n  6 [size=\"53071872\", alpha=\"0.18\", expect_size=\"26535936\"] \n  6 -> 7 [size =\"26535936\"]\n  7 [size=\"62173184\", alpha=\"0.18\", expect_size=\"31086592\"] \n  7 -> 8 [size =\"31086592\"]\n  8 [size=\"17055744\", alpha=\"0.03\", expect_size=\"8527872\"] \n  8 -> 9 [size =\"8527872\"]\n  9 [size=\"18262016\", alpha=\"0.01\", expect_size=\"9131008\"] \n  9 -> 10 [size =\"9131008\"]\n  10 [size=\"41345024\", alpha=\"0.10\", expect_size=\"20672512\"] \n  10 -> 11 [size =\"20672512\"]\n  10 -> 12 [size =\"20672512\"]\n  11 [size=\"25110528\", alpha=\"0.06\", expect_size=\"12555264\"] \n  11 -> 13 [size =\"12555264\"]\n  11 -> 14 [size =\"12555264\"]\n  12 [size=\"59799552\", alpha=\"0.02\", expect_size=\"29899776\"] \n  13 [size=\"84484096\", alpha=\"0.10\", expect_size=\"42242048\"] \n  13 -> 15 [size =\"42242048\"]\n  14 [size=\"22757376\", alpha=\"0.03\", expect_size=\"11378688\"] \n  15 [size=\"36761600\", alpha=\"0.02\", expect_size=\"18380800\"] \n  15 -> 16 [size =\"18380800\"]\n  16 [size=\"102449152\", alpha=\"0.15\", expect_size=\"51224576\"] \n  16 -> 17 [size =\"51224576\"]\n  16 -> 18 [size =\"51224576\"]\n  17 [size=\"92721152\", alpha=\"0.10\", expect_size=\"46360576\"] \n  17 -> 19 [size =\"46360576\"]\n  17 -> 20 [size =\"46360576\"]\n  18 [size=\"84256768\", alpha=\"0.04\", expect_size=\"42128384\"] \n  18 -> 19 [size =\"42128384\"]\n  19 [size=\"96684032\", alpha=\"0.13\", expect_size=\"48342016\"] \n  19 -> 21 [size =\"48342016\"]\n  20 [size=\"102332416\", alpha=\"0.15\", expect_size=\"51166208\"] \n  21 [size=\"56510464\", alpha=\"0.09\", expect_size=\"28255232\"] \n  21 -> 22 [size =\"28255232\"]\n  21 -> 23 [size =\"28255232\"]\n  22 [size=\"83951616\", alpha=\"0.06\", expect_size=\"41975808\"] \n  22 -> 24 [size =\"41975808\"]\n  23 [size=\"93100032\", alpha=\"0.10\", expect_size=\"46550016\"] \n  24 [size=\"45375488\", alpha=\"0.19\", expect_size=\"22687744\"] \n  24 -> 25 [size =\"22687744\"]\n  25 [size=\"60196864\", alpha=\"0.11\", expect_size=\"30098432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13724160\", alpha=\"0.10\", expect_size=\"5489664\"] \n  1 -> 2 [size =\"5489664\"]\n  2 [size=\"106224640\", alpha=\"0.00\", expect_size=\"42489856\"] \n  2 -> 3 [size =\"42489856\"]\n  3 [size=\"103124480\", alpha=\"0.05\", expect_size=\"41249792\"] \n  3 -> 4 [size =\"41249792\"]\n  3 -> 5 [size =\"41249792\"]\n  4 [size=\"31191040\", alpha=\"0.16\", expect_size=\"12476416\"] \n  4 -> 6 [size =\"12476416\"]\n  5 [size=\"119526400\", alpha=\"0.03\", expect_size=\"47810560\"] \n  6 [size=\"47928320\", alpha=\"0.04\", expect_size=\"19171328\"] \n  6 -> 7 [size =\"19171328\"]\n  7 [size=\"52533760\", alpha=\"0.06\", expect_size=\"21013504\"] \n  7 -> 8 [size =\"21013504\"]\n  7 -> 9 [size =\"21013504\"]\n  8 [size=\"68331520\", alpha=\"0.11\", expect_size=\"27332608\"] \n  8 -> 10 [size =\"27332608\"]\n  9 [size=\"108154880\", alpha=\"0.12\", expect_size=\"43261952\"] \n  10 [size=\"76162560\", alpha=\"0.08\", expect_size=\"30465024\"] \n  10 -> 11 [size =\"30465024\"]\n  11 [size=\"59348480\", alpha=\"0.00\", expect_size=\"23739392\"] \n  11 -> 12 [size =\"23739392\"]\n  11 -> 13 [size =\"23739392\"]\n  12 [size=\"119877120\", alpha=\"0.14\", expect_size=\"47950848\"] \n  13 [size=\"120399360\", alpha=\"0.01\", expect_size=\"48159744\"] \n  13 -> 14 [size =\"48159744\"]\n  14 [size=\"33789440\", alpha=\"0.18\", expect_size=\"13515776\"] \n  14 -> 15 [size =\"13515776\"]\n  15 [size=\"125329920\", alpha=\"0.05\", expect_size=\"50131968\"] \n  15 -> 16 [size =\"50131968\"]\n  15 -> 17 [size =\"50131968\"]\n  16 [size=\"24977920\", alpha=\"0.09\", expect_size=\"9991168\"] \n  17 [size=\"50649600\", alpha=\"0.09\", expect_size=\"20259840\"] \n  17 -> 18 [size =\"20259840\"]\n  18 [size=\"88437760\", alpha=\"0.02\", expect_size=\"35375104\"] \n  18 -> 19 [size =\"35375104\"]\n  18 -> 20 [size =\"35375104\"]\n  19 [size=\"36510720\", alpha=\"0.06\", expect_size=\"14604288\"] \n  19 -> 22 [size =\"14604288\"]\n  20 [size=\"106181120\", alpha=\"0.01\", expect_size=\"42472448\"] \n  20 -> 21 [size =\"42472448\"]\n  21 [size=\"36280320\", alpha=\"0.16\", expect_size=\"14512128\"] \n  22 [size=\"37043200\", alpha=\"0.07\", expect_size=\"14817280\"] \n  22 -> 23 [size =\"14817280\"]\n  22 -> 24 [size =\"14817280\"]\n  23 [size=\"121666560\", alpha=\"0.13\", expect_size=\"48666624\"] \n  23 -> 25 [size =\"48666624\"]\n  24 [size=\"130234880\", alpha=\"0.02\", expect_size=\"52093952\"] \n  25 [size=\"120796160\", alpha=\"0.09\", expect_size=\"48318464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49105920\", alpha=\"0.01\", expect_size=\"19642368\"] \n  1 -> 2 [size =\"19642368\"]\n  2 [size=\"74716160\", alpha=\"0.12\", expect_size=\"29886464\"] \n  2 -> 3 [size =\"29886464\"]\n  3 [size=\"38801920\", alpha=\"0.12\", expect_size=\"15520768\"] \n  3 -> 4 [size =\"15520768\"]\n  4 [size=\"39879680\", alpha=\"0.12\", expect_size=\"15951872\"] \n  4 -> 5 [size =\"15951872\"]\n  5 [size=\"102842880\", alpha=\"0.16\", expect_size=\"41137152\"] \n  5 -> 6 [size =\"41137152\"]\n  6 [size=\"77079040\", alpha=\"0.20\", expect_size=\"30831616\"] \n  6 -> 7 [size =\"30831616\"]\n  7 [size=\"119741440\", alpha=\"0.04\", expect_size=\"47896576\"] \n  7 -> 8 [size =\"47896576\"]\n  8 [size=\"116093440\", alpha=\"0.01\", expect_size=\"46437376\"] \n  8 -> 9 [size =\"46437376\"]\n  9 [size=\"102407680\", alpha=\"0.14\", expect_size=\"40963072\"] \n  9 -> 10 [size =\"40963072\"]\n  10 [size=\"89216000\", alpha=\"0.19\", expect_size=\"35686400\"] \n  10 -> 11 [size =\"35686400\"]\n  11 [size=\"114007040\", alpha=\"0.02\", expect_size=\"45602816\"] \n  11 -> 12 [size =\"45602816\"]\n  12 [size=\"117437440\", alpha=\"0.10\", expect_size=\"46974976\"] \n  12 -> 13 [size =\"46974976\"]\n  13 [size=\"72038400\", alpha=\"0.11\", expect_size=\"28815360\"] \n  13 -> 14 [size =\"28815360\"]\n  14 [size=\"25894400\", alpha=\"0.01\", expect_size=\"10357760\"] \n  14 -> 15 [size =\"10357760\"]\n  15 [size=\"94768640\", alpha=\"0.05\", expect_size=\"37907456\"] \n  15 -> 16 [size =\"37907456\"]\n  16 [size=\"73768960\", alpha=\"0.14\", expect_size=\"29507584\"] \n  16 -> 17 [size =\"29507584\"]\n  17 [size=\"70855680\", alpha=\"0.16\", expect_size=\"28342272\"] \n  17 -> 18 [size =\"28342272\"]\n  18 [size=\"91824640\", alpha=\"0.01\", expect_size=\"36729856\"] \n  18 -> 19 [size =\"36729856\"]\n  19 [size=\"98012160\", alpha=\"0.15\", expect_size=\"39204864\"] \n  19 -> 20 [size =\"39204864\"]\n  20 [size=\"62274560\", alpha=\"0.00\", expect_size=\"24909824\"] \n  20 -> 21 [size =\"24909824\"]\n  21 [size=\"53808640\", alpha=\"0.12\", expect_size=\"21523456\"] \n  21 -> 22 [size =\"21523456\"]\n  22 [size=\"65085440\", alpha=\"0.14\", expect_size=\"26034176\"] \n  22 -> 23 [size =\"26034176\"]\n  23 [size=\"121523200\", alpha=\"0.01\", expect_size=\"48609280\"] \n  23 -> 24 [size =\"48609280\"]\n  24 [size=\"69324800\", alpha=\"0.12\", expect_size=\"27729920\"] \n  24 -> 25 [size =\"27729920\"]\n  25 [size=\"77501440\", alpha=\"0.18\", expect_size=\"31000576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86532096\", alpha=\"0.15\", expect_size=\"43266048\"] \n  1 -> 10 [size =\"43266048\"]\n  1 -> 11 [size =\"43266048\"]\n  1 -> 13 [size =\"43266048\"]\n  2 [size=\"37347328\", alpha=\"0.19\", expect_size=\"18673664\"] \n  2 -> 9 [size =\"18673664\"]\n  2 -> 12 [size =\"18673664\"]\n  2 -> 13 [size =\"18673664\"]\n  2 -> 15 [size =\"18673664\"]\n  2 -> 16 [size =\"18673664\"]\n  3 [size=\"36888576\", alpha=\"0.03\", expect_size=\"18444288\"] \n  3 -> 9 [size =\"18444288\"]\n  3 -> 11 [size =\"18444288\"]\n  3 -> 12 [size =\"18444288\"]\n  3 -> 13 [size =\"18444288\"]\n  4 [size=\"80420864\", alpha=\"0.08\", expect_size=\"40210432\"] \n  4 -> 9 [size =\"40210432\"]\n  4 -> 17 [size =\"40210432\"]\n  5 [size=\"14956544\", alpha=\"0.16\", expect_size=\"7478272\"] \n  5 -> 10 [size =\"7478272\"]\n  5 -> 13 [size =\"7478272\"]\n  5 -> 15 [size =\"7478272\"]\n  6 [size=\"34236416\", alpha=\"0.00\", expect_size=\"17118208\"] \n  6 -> 9 [size =\"17118208\"]\n  6 -> 12 [size =\"17118208\"]\n  6 -> 13 [size =\"17118208\"]\n  6 -> 14 [size =\"17118208\"]\n  6 -> 16 [size =\"17118208\"]\n  7 [size=\"13205504\", alpha=\"0.14\", expect_size=\"6602752\"] \n  7 -> 10 [size =\"6602752\"]\n  8 [size=\"84170752\", alpha=\"0.09\", expect_size=\"42085376\"] \n  8 -> 13 [size =\"42085376\"]\n  9 [size=\"79163392\", alpha=\"0.17\", expect_size=\"39581696\"] \n  9 -> 18 [size =\"39581696\"]\n  9 -> 19 [size =\"39581696\"]\n  9 -> 20 [size =\"39581696\"]\n  9 -> 21 [size =\"39581696\"]\n  9 -> 22 [size =\"39581696\"]\n  9 -> 23 [size =\"39581696\"]\n  10 [size=\"24080384\", alpha=\"0.20\", expect_size=\"12040192\"] \n  10 -> 18 [size =\"12040192\"]\n  10 -> 19 [size =\"12040192\"]\n  10 -> 23 [size =\"12040192\"]\n  11 [size=\"85819392\", alpha=\"0.08\", expect_size=\"42909696\"] \n  11 -> 19 [size =\"42909696\"]\n  11 -> 23 [size =\"42909696\"]\n  12 [size=\"63328256\", alpha=\"0.15\", expect_size=\"31664128\"] \n  12 -> 18 [size =\"31664128\"]\n  12 -> 19 [size =\"31664128\"]\n  12 -> 20 [size =\"31664128\"]\n  12 -> 21 [size =\"31664128\"]\n  13 [size=\"59369472\", alpha=\"0.05\", expect_size=\"29684736\"] \n  13 -> 18 [size =\"29684736\"]\n  13 -> 19 [size =\"29684736\"]\n  13 -> 22 [size =\"29684736\"]\n  14 [size=\"75687936\", alpha=\"0.09\", expect_size=\"37843968\"] \n  14 -> 18 [size =\"37843968\"]\n  14 -> 21 [size =\"37843968\"]\n  14 -> 22 [size =\"37843968\"]\n  14 -> 23 [size =\"37843968\"]\n  15 [size=\"18948096\", alpha=\"0.07\", expect_size=\"9474048\"] \n  15 -> 18 [size =\"9474048\"]\n  15 -> 22 [size =\"9474048\"]\n  15 -> 23 [size =\"9474048\"]\n  16 [size=\"92850176\", alpha=\"0.13\", expect_size=\"46425088\"] \n  17 [size=\"93982720\", alpha=\"0.13\", expect_size=\"46991360\"] \n  17 -> 19 [size =\"46991360\"]\n  17 -> 22 [size =\"46991360\"]\n  17 -> 23 [size =\"46991360\"]\n  18 [size=\"64524288\", alpha=\"0.15\", expect_size=\"32262144\"] \n  18 -> 24 [size =\"32262144\"]\n  18 -> 25 [size =\"32262144\"]\n  19 [size=\"11898880\", alpha=\"0.06\", expect_size=\"5949440\"] \n  19 -> 25 [size =\"5949440\"]\n  20 [size=\"94375936\", alpha=\"0.07\", expect_size=\"47187968\"] \n  20 -> 24 [size =\"47187968\"]\n  21 [size=\"92313600\", alpha=\"0.04\", expect_size=\"46156800\"] \n  21 -> 25 [size =\"46156800\"]\n  22 [size=\"35790848\", alpha=\"0.07\", expect_size=\"17895424\"] \n  22 -> 25 [size =\"17895424\"]\n  23 [size=\"12912640\", alpha=\"0.16\", expect_size=\"6456320\"] \n  24 [size=\"35889152\", alpha=\"0.19\", expect_size=\"17944576\"] \n  25 [size=\"77367296\", alpha=\"0.04\", expect_size=\"38683648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99573760\", alpha=\"0.18\", expect_size=\"49786880\"] \n  1 -> 3 [size =\"49786880\"]\n  2 [size=\"64405504\", alpha=\"0.19\", expect_size=\"32202752\"] \n  2 -> 3 [size =\"32202752\"]\n  3 [size=\"87330816\", alpha=\"0.16\", expect_size=\"43665408\"] \n  3 -> 4 [size =\"43665408\"]\n  4 [size=\"64909312\", alpha=\"0.09\", expect_size=\"32454656\"] \n  4 -> 5 [size =\"32454656\"]\n  4 -> 6 [size =\"32454656\"]\n  5 [size=\"89030656\", alpha=\"0.06\", expect_size=\"44515328\"] \n  5 -> 7 [size =\"44515328\"]\n  6 [size=\"81883136\", alpha=\"0.12\", expect_size=\"40941568\"] \n  6 -> 7 [size =\"40941568\"]\n  7 [size=\"78108672\", alpha=\"0.14\", expect_size=\"39054336\"] \n  7 -> 8 [size =\"39054336\"]\n  8 [size=\"37888000\", alpha=\"0.20\", expect_size=\"18944000\"] \n  8 -> 9 [size =\"18944000\"]\n  8 -> 10 [size =\"18944000\"]\n  9 [size=\"54650880\", alpha=\"0.16\", expect_size=\"27325440\"] \n  9 -> 11 [size =\"27325440\"]\n  9 -> 12 [size =\"27325440\"]\n  10 [size=\"32815104\", alpha=\"0.15\", expect_size=\"16407552\"] \n  10 -> 11 [size =\"16407552\"]\n  10 -> 12 [size =\"16407552\"]\n  11 [size=\"44699648\", alpha=\"0.14\", expect_size=\"22349824\"] \n  11 -> 13 [size =\"22349824\"]\n  12 [size=\"35878912\", alpha=\"0.06\", expect_size=\"17939456\"] \n  12 -> 13 [size =\"17939456\"]\n  13 [size=\"29765632\", alpha=\"0.10\", expect_size=\"14882816\"] \n  13 -> 14 [size =\"14882816\"]\n  14 [size=\"13148160\", alpha=\"0.15\", expect_size=\"6574080\"] \n  14 -> 15 [size =\"6574080\"]\n  14 -> 16 [size =\"6574080\"]\n  15 [size=\"57530368\", alpha=\"0.18\", expect_size=\"28765184\"] \n  15 -> 17 [size =\"28765184\"]\n  15 -> 18 [size =\"28765184\"]\n  16 [size=\"86747136\", alpha=\"0.07\", expect_size=\"43373568\"] \n  16 -> 17 [size =\"43373568\"]\n  17 [size=\"50284544\", alpha=\"0.19\", expect_size=\"25142272\"] \n  17 -> 20 [size =\"25142272\"]\n  18 [size=\"23871488\", alpha=\"0.09\", expect_size=\"11935744\"] \n  18 -> 19 [size =\"11935744\"]\n  18 -> 20 [size =\"11935744\"]\n  19 [size=\"22749184\", alpha=\"0.19\", expect_size=\"11374592\"] \n  19 -> 21 [size =\"11374592\"]\n  19 -> 22 [size =\"11374592\"]\n  20 [size=\"96993280\", alpha=\"0.06\", expect_size=\"48496640\"] \n  20 -> 21 [size =\"48496640\"]\n  21 [size=\"74700800\", alpha=\"0.12\", expect_size=\"37350400\"] \n  21 -> 23 [size =\"37350400\"]\n  21 -> 24 [size =\"37350400\"]\n  22 [size=\"47579136\", alpha=\"0.09\", expect_size=\"23789568\"] \n  22 -> 24 [size =\"23789568\"]\n  23 [size=\"74649600\", alpha=\"0.02\", expect_size=\"37324800\"] \n  24 [size=\"27867136\", alpha=\"0.07\", expect_size=\"13933568\"] \n  24 -> 25 [size =\"13933568\"]\n  25 [size=\"100169728\", alpha=\"0.08\", expect_size=\"50084864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32640000\", alpha=\"0.08\", expect_size=\"13056000\"] \n  1 -> 3 [size =\"13056000\"]\n  2 [size=\"122567680\", alpha=\"0.11\", expect_size=\"49027072\"] \n  2 -> 4 [size =\"49027072\"]\n  3 [size=\"122741760\", alpha=\"0.08\", expect_size=\"49096704\"] \n  3 -> 5 [size =\"49096704\"]\n  3 -> 6 [size =\"49096704\"]\n  4 [size=\"96860160\", alpha=\"0.04\", expect_size=\"38744064\"] \n  5 [size=\"130992640\", alpha=\"0.07\", expect_size=\"52397056\"] \n  6 [size=\"87344640\", alpha=\"0.20\", expect_size=\"34937856\"] \n  6 -> 7 [size =\"34937856\"]\n  7 [size=\"69199360\", alpha=\"0.06\", expect_size=\"27679744\"] \n  7 -> 8 [size =\"27679744\"]\n  7 -> 9 [size =\"27679744\"]\n  8 [size=\"29777920\", alpha=\"0.05\", expect_size=\"11911168\"] \n  8 -> 10 [size =\"11911168\"]\n  9 [size=\"13839360\", alpha=\"0.17\", expect_size=\"5535744\"] \n  10 [size=\"47664640\", alpha=\"0.17\", expect_size=\"19065856\"] \n  10 -> 11 [size =\"19065856\"]\n  10 -> 12 [size =\"19065856\"]\n  11 [size=\"27612160\", alpha=\"0.03\", expect_size=\"11044864\"] \n  11 -> 14 [size =\"11044864\"]\n  12 [size=\"73953280\", alpha=\"0.06\", expect_size=\"29581312\"] \n  12 -> 13 [size =\"29581312\"]\n  13 [size=\"21317120\", alpha=\"0.07\", expect_size=\"8526848\"] \n  14 [size=\"69483520\", alpha=\"0.20\", expect_size=\"27793408\"] \n  14 -> 15 [size =\"27793408\"]\n  14 -> 16 [size =\"27793408\"]\n  15 [size=\"93990400\", alpha=\"0.06\", expect_size=\"37596160\"] \n  15 -> 18 [size =\"37596160\"]\n  16 [size=\"20200960\", alpha=\"0.17\", expect_size=\"8080384\"] \n  16 -> 17 [size =\"8080384\"]\n  17 [size=\"20152320\", alpha=\"0.02\", expect_size=\"8060928\"] \n  17 -> 19 [size =\"8060928\"]\n  18 [size=\"53711360\", alpha=\"0.15\", expect_size=\"21484544\"] \n  19 [size=\"84011520\", alpha=\"0.06\", expect_size=\"33604608\"] \n  19 -> 20 [size =\"33604608\"]\n  19 -> 21 [size =\"33604608\"]\n  20 [size=\"68774400\", alpha=\"0.14\", expect_size=\"27509760\"] \n  20 -> 22 [size =\"27509760\"]\n  21 [size=\"48778240\", alpha=\"0.05\", expect_size=\"19511296\"] \n  21 -> 23 [size =\"19511296\"]\n  22 [size=\"64092160\", alpha=\"0.14\", expect_size=\"25636864\"] \n  22 -> 25 [size =\"25636864\"]\n  23 [size=\"96814080\", alpha=\"0.02\", expect_size=\"38725632\"] \n  23 -> 24 [size =\"38725632\"]\n  24 [size=\"22743040\", alpha=\"0.05\", expect_size=\"9097216\"] \n  25 [size=\"21442560\", alpha=\"0.07\", expect_size=\"8577024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63252480\", alpha=\"0.13\", expect_size=\"18975744\"] \n  2 [size=\"138782720\", alpha=\"0.13\", expect_size=\"41634816\"] \n  3 [size=\"53490347\", alpha=\"0.19\", expect_size=\"16047104\"] \n  3 -> 4 [size =\"16047104\"]\n  3 -> 5 [size =\"16047104\"]\n  4 [size=\"24733013\", alpha=\"0.12\", expect_size=\"7419904\"] \n  4 -> 7 [size =\"7419904\"]\n  4 -> 8 [size =\"7419904\"]\n  5 [size=\"51640320\", alpha=\"0.19\", expect_size=\"15492096\"] \n  5 -> 6 [size =\"15492096\"]\n  5 -> 7 [size =\"15492096\"]\n  5 -> 8 [size =\"15492096\"]\n  6 [size=\"110643200\", alpha=\"0.19\", expect_size=\"33192960\"] \n  6 -> 9 [size =\"33192960\"]\n  6 -> 11 [size =\"33192960\"]\n  7 [size=\"50162347\", alpha=\"0.06\", expect_size=\"15048704\"] \n  7 -> 9 [size =\"15048704\"]\n  7 -> 10 [size =\"15048704\"]\n  7 -> 11 [size =\"15048704\"]\n  8 [size=\"146189653\", alpha=\"0.09\", expect_size=\"43856896\"] \n  8 -> 10 [size =\"43856896\"]\n  9 [size=\"37819733\", alpha=\"0.10\", expect_size=\"11345920\"] \n  9 -> 13 [size =\"11345920\"]\n  10 [size=\"163932160\", alpha=\"0.19\", expect_size=\"49179648\"] \n  11 [size=\"18182827\", alpha=\"0.15\", expect_size=\"5454848\"] \n  11 -> 12 [size =\"5454848\"]\n  11 -> 13 [size =\"5454848\"]\n  12 [size=\"116896427\", alpha=\"0.04\", expect_size=\"35068928\"] \n  12 -> 14 [size =\"35068928\"]\n  12 -> 15 [size =\"35068928\"]\n  12 -> 16 [size =\"35068928\"]\n  12 -> 17 [size =\"35068928\"]\n  12 -> 18 [size =\"35068928\"]\n  13 [size=\"62737067\", alpha=\"0.10\", expect_size=\"18821120\"] \n  13 -> 15 [size =\"18821120\"]\n  13 -> 16 [size =\"18821120\"]\n  13 -> 17 [size =\"18821120\"]\n  14 [size=\"57193813\", alpha=\"0.17\", expect_size=\"17158144\"] \n  14 -> 20 [size =\"17158144\"]\n  15 [size=\"149084160\", alpha=\"0.04\", expect_size=\"44725248\"] \n  16 [size=\"143513600\", alpha=\"0.08\", expect_size=\"43054080\"] \n  16 -> 19 [size =\"43054080\"]\n  17 [size=\"133130240\", alpha=\"0.09\", expect_size=\"39939072\"] \n  18 [size=\"19182933\", alpha=\"0.18\", expect_size=\"5754880\"] \n  18 -> 19 [size =\"5754880\"]\n  19 [size=\"90296320\", alpha=\"0.15\", expect_size=\"27088896\"] \n  19 -> 21 [size =\"27088896\"]\n  19 -> 23 [size =\"27088896\"]\n  20 [size=\"167553707\", alpha=\"0.17\", expect_size=\"50266112\"] \n  20 -> 21 [size =\"50266112\"]\n  20 -> 22 [size =\"50266112\"]\n  20 -> 23 [size =\"50266112\"]\n  21 [size=\"160092160\", alpha=\"0.04\", expect_size=\"48027648\"] \n  21 -> 24 [size =\"48027648\"]\n  21 -> 25 [size =\"48027648\"]\n  22 [size=\"123303253\", alpha=\"0.06\", expect_size=\"36990976\"] \n  23 [size=\"156224853\", alpha=\"0.13\", expect_size=\"46867456\"] \n  23 -> 24 [size =\"46867456\"]\n  24 [size=\"73987413\", alpha=\"0.01\", expect_size=\"22196224\"] \n  25 [size=\"53377707\", alpha=\"0.14\", expect_size=\"16013312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18018987\", alpha=\"0.04\", expect_size=\"5405696\"] \n  2 [size=\"134045013\", alpha=\"0.15\", expect_size=\"40213504\"] \n  2 -> 3 [size =\"40213504\"]\n  3 [size=\"130935467\", alpha=\"0.13\", expect_size=\"39280640\"] \n  3 -> 4 [size =\"39280640\"]\n  3 -> 5 [size =\"39280640\"]\n  4 [size=\"154443093\", alpha=\"0.16\", expect_size=\"46332928\"] \n  5 [size=\"162764800\", alpha=\"0.07\", expect_size=\"48829440\"] \n  5 -> 6 [size =\"48829440\"]\n  5 -> 7 [size =\"48829440\"]\n  6 [size=\"163771733\", alpha=\"0.18\", expect_size=\"49131520\"] \n  6 -> 8 [size =\"49131520\"]\n  7 [size=\"71195307\", alpha=\"0.07\", expect_size=\"21358592\"] \n  8 [size=\"158696107\", alpha=\"0.16\", expect_size=\"47608832\"] \n  8 -> 9 [size =\"47608832\"]\n  8 -> 10 [size =\"47608832\"]\n  9 [size=\"133242880\", alpha=\"0.18\", expect_size=\"39972864\"] \n  9 -> 11 [size =\"39972864\"]\n  10 [size=\"141622613\", alpha=\"0.01\", expect_size=\"42486784\"] \n  11 [size=\"163420160\", alpha=\"0.10\", expect_size=\"49026048\"] \n  11 -> 12 [size =\"49026048\"]\n  11 -> 13 [size =\"49026048\"]\n  12 [size=\"41393493\", alpha=\"0.06\", expect_size=\"12418048\"] \n  12 -> 14 [size =\"12418048\"]\n  12 -> 15 [size =\"12418048\"]\n  13 [size=\"158883840\", alpha=\"0.18\", expect_size=\"47665152\"] \n  14 [size=\"105018027\", alpha=\"0.10\", expect_size=\"31505408\"] \n  15 [size=\"70925653\", alpha=\"0.01\", expect_size=\"21277696\"] \n  15 -> 16 [size =\"21277696\"]\n  16 [size=\"125794987\", alpha=\"0.11\", expect_size=\"37738496\"] \n  16 -> 17 [size =\"37738496\"]\n  16 -> 18 [size =\"37738496\"]\n  17 [size=\"113602560\", alpha=\"0.16\", expect_size=\"34080768\"] \n  18 [size=\"168444587\", alpha=\"0.14\", expect_size=\"50533376\"] \n  18 -> 19 [size =\"50533376\"]\n  18 -> 20 [size =\"50533376\"]\n  19 [size=\"139011413\", alpha=\"0.12\", expect_size=\"41703424\"] \n  19 -> 21 [size =\"41703424\"]\n  20 [size=\"121920853\", alpha=\"0.12\", expect_size=\"36576256\"] \n  21 [size=\"129047893\", alpha=\"0.13\", expect_size=\"38714368\"] \n  21 -> 22 [size =\"38714368\"]\n  22 [size=\"48042667\", alpha=\"0.09\", expect_size=\"14412800\"] \n  22 -> 23 [size =\"14412800\"]\n  23 [size=\"98293760\", alpha=\"0.19\", expect_size=\"29488128\"] \n  23 -> 24 [size =\"29488128\"]\n  24 [size=\"79735467\", alpha=\"0.06\", expect_size=\"23920640\"] \n  24 -> 25 [size =\"23920640\"]\n  25 [size=\"157491200\", alpha=\"0.12\", expect_size=\"47247360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22412800\", alpha=\"0.11\", expect_size=\"8965120\"] \n  2 [size=\"111370240\", alpha=\"0.08\", expect_size=\"44548096\"] \n  2 -> 3 [size =\"44548096\"]\n  3 [size=\"66337280\", alpha=\"0.09\", expect_size=\"26534912\"] \n  3 -> 4 [size =\"26534912\"]\n  4 [size=\"16826880\", alpha=\"0.16\", expect_size=\"6730752\"] \n  4 -> 5 [size =\"6730752\"]\n  4 -> 6 [size =\"6730752\"]\n  5 [size=\"14878720\", alpha=\"0.01\", expect_size=\"5951488\"] \n  5 -> 7 [size =\"5951488\"]\n  6 [size=\"50007040\", alpha=\"0.08\", expect_size=\"20002816\"] \n  6 -> 7 [size =\"20002816\"]\n  7 [size=\"53265920\", alpha=\"0.13\", expect_size=\"21306368\"] \n  7 -> 8 [size =\"21306368\"]\n  7 -> 9 [size =\"21306368\"]\n  8 [size=\"16965120\", alpha=\"0.06\", expect_size=\"6786048\"] \n  8 -> 10 [size =\"6786048\"]\n  9 [size=\"52815360\", alpha=\"0.04\", expect_size=\"21126144\"] \n  9 -> 10 [size =\"21126144\"]\n  9 -> 11 [size =\"21126144\"]\n  10 [size=\"27491840\", alpha=\"0.17\", expect_size=\"10996736\"] \n  10 -> 12 [size =\"10996736\"]\n  10 -> 13 [size =\"10996736\"]\n  11 [size=\"102297600\", alpha=\"0.07\", expect_size=\"40919040\"] \n  12 [size=\"47567360\", alpha=\"0.08\", expect_size=\"19026944\"] \n  12 -> 14 [size =\"19026944\"]\n  13 [size=\"93626880\", alpha=\"0.01\", expect_size=\"37450752\"] \n  14 [size=\"30968320\", alpha=\"0.14\", expect_size=\"12387328\"] \n  14 -> 15 [size =\"12387328\"]\n  14 -> 16 [size =\"12387328\"]\n  15 [size=\"124899840\", alpha=\"0.13\", expect_size=\"49959936\"] \n  15 -> 17 [size =\"49959936\"]\n  16 [size=\"13798400\", alpha=\"0.08\", expect_size=\"5519360\"] \n  16 -> 17 [size =\"5519360\"]\n  16 -> 18 [size =\"5519360\"]\n  17 [size=\"60011520\", alpha=\"0.18\", expect_size=\"24004608\"] \n  17 -> 19 [size =\"24004608\"]\n  17 -> 20 [size =\"24004608\"]\n  18 [size=\"21378560\", alpha=\"0.00\", expect_size=\"8551424\"] \n  18 -> 20 [size =\"8551424\"]\n  19 [size=\"59174400\", alpha=\"0.16\", expect_size=\"23669760\"] \n  19 -> 21 [size =\"23669760\"]\n  19 -> 22 [size =\"23669760\"]\n  20 [size=\"80345600\", alpha=\"0.09\", expect_size=\"32138240\"] \n  20 -> 22 [size =\"32138240\"]\n  21 [size=\"61327360\", alpha=\"0.03\", expect_size=\"24530944\"] \n  21 -> 23 [size =\"24530944\"]\n  21 -> 24 [size =\"24530944\"]\n  22 [size=\"101880320\", alpha=\"0.15\", expect_size=\"40752128\"] \n  23 [size=\"30592000\", alpha=\"0.15\", expect_size=\"12236800\"] \n  24 [size=\"36897280\", alpha=\"0.16\", expect_size=\"14758912\"] \n  24 -> 25 [size =\"14758912\"]\n  25 [size=\"116664320\", alpha=\"0.17\", expect_size=\"46665728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27811840\", alpha=\"0.08\", expect_size=\"8343552\"] \n  1 -> 2 [size =\"8343552\"]\n  2 [size=\"39881387\", alpha=\"0.00\", expect_size=\"11964416\"] \n  2 -> 3 [size =\"11964416\"]\n  3 [size=\"39389867\", alpha=\"0.13\", expect_size=\"11816960\"] \n  3 -> 4 [size =\"11816960\"]\n  4 [size=\"94648320\", alpha=\"0.06\", expect_size=\"28394496\"] \n  4 -> 5 [size =\"28394496\"]\n  5 [size=\"152388267\", alpha=\"0.04\", expect_size=\"45716480\"] \n  5 -> 6 [size =\"45716480\"]\n  6 [size=\"120791040\", alpha=\"0.16\", expect_size=\"36237312\"] \n  6 -> 7 [size =\"36237312\"]\n  7 [size=\"70352213\", alpha=\"0.08\", expect_size=\"21105664\"] \n  7 -> 8 [size =\"21105664\"]\n  8 [size=\"147005440\", alpha=\"0.19\", expect_size=\"44101632\"] \n  8 -> 9 [size =\"44101632\"]\n  9 [size=\"100877653\", alpha=\"0.10\", expect_size=\"30263296\"] \n  9 -> 10 [size =\"30263296\"]\n  10 [size=\"29269333\", alpha=\"0.14\", expect_size=\"8780800\"] \n  10 -> 11 [size =\"8780800\"]\n  11 [size=\"103686827\", alpha=\"0.18\", expect_size=\"31106048\"] \n  11 -> 12 [size =\"31106048\"]\n  12 [size=\"164297387\", alpha=\"0.11\", expect_size=\"49289216\"] \n  12 -> 13 [size =\"49289216\"]\n  13 [size=\"167543467\", alpha=\"0.18\", expect_size=\"50263040\"] \n  13 -> 14 [size =\"50263040\"]\n  14 [size=\"112397653\", alpha=\"0.17\", expect_size=\"33719296\"] \n  14 -> 15 [size =\"33719296\"]\n  15 [size=\"156204373\", alpha=\"0.01\", expect_size=\"46861312\"] \n  15 -> 16 [size =\"46861312\"]\n  16 [size=\"28463787\", alpha=\"0.03\", expect_size=\"8539136\"] \n  16 -> 17 [size =\"8539136\"]\n  17 [size=\"152814933\", alpha=\"0.19\", expect_size=\"45844480\"] \n  17 -> 18 [size =\"45844480\"]\n  18 [size=\"58531840\", alpha=\"0.03\", expect_size=\"17559552\"] \n  18 -> 19 [size =\"17559552\"]\n  19 [size=\"51712000\", alpha=\"0.14\", expect_size=\"15513600\"] \n  19 -> 20 [size =\"15513600\"]\n  20 [size=\"127505067\", alpha=\"0.17\", expect_size=\"38251520\"] \n  20 -> 21 [size =\"38251520\"]\n  21 [size=\"77390507\", alpha=\"0.00\", expect_size=\"23217152\"] \n  21 -> 22 [size =\"23217152\"]\n  22 [size=\"59077973\", alpha=\"0.06\", expect_size=\"17723392\"] \n  22 -> 23 [size =\"17723392\"]\n  23 [size=\"146117973\", alpha=\"0.16\", expect_size=\"43835392\"] \n  23 -> 24 [size =\"43835392\"]\n  24 [size=\"127232000\", alpha=\"0.15\", expect_size=\"38169600\"] \n  24 -> 25 [size =\"38169600\"]\n  25 [size=\"103891627\", alpha=\"0.11\", expect_size=\"31167488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99089067\", alpha=\"0.12\", expect_size=\"29726720\"] \n  1 -> 15 [size =\"29726720\"]\n  1 -> 15 [size =\"29726720\"]\n  1 -> 16 [size =\"29726720\"]\n  1 -> 16 [size =\"29726720\"]\n  1 -> 18 [size =\"29726720\"]\n  2 [size=\"69440853\", alpha=\"0.20\", expect_size=\"20832256\"] \n  2 -> 13 [size =\"20832256\"]\n  2 -> 18 [size =\"20832256\"]\n  3 [size=\"158986240\", alpha=\"0.20\", expect_size=\"47695872\"] \n  3 -> 14 [size =\"47695872\"]\n  3 -> 16 [size =\"47695872\"]\n  3 -> 18 [size =\"47695872\"]\n  4 [size=\"75615573\", alpha=\"0.18\", expect_size=\"22684672\"] \n  5 [size=\"133109760\", alpha=\"0.12\", expect_size=\"39932928\"] \n  5 -> 14 [size =\"39932928\"]\n  5 -> 15 [size =\"39932928\"]\n  5 -> 17 [size =\"39932928\"]\n  5 -> 18 [size =\"39932928\"]\n  6 [size=\"49524053\", alpha=\"0.03\", expect_size=\"14857216\"] \n  6 -> 16 [size =\"14857216\"]\n  6 -> 18 [size =\"14857216\"]\n  7 [size=\"92078080\", alpha=\"0.19\", expect_size=\"27623424\"] \n  7 -> 11 [size =\"27623424\"]\n  7 -> 13 [size =\"27623424\"]\n  7 -> 15 [size =\"27623424\"]\n  7 -> 17 [size =\"27623424\"]\n  7 -> 18 [size =\"27623424\"]\n  8 [size=\"103376213\", alpha=\"0.16\", expect_size=\"31012864\"] \n  8 -> 12 [size =\"31012864\"]\n  8 -> 13 [size =\"31012864\"]\n  8 -> 15 [size =\"31012864\"]\n  8 -> 18 [size =\"31012864\"]\n  8 -> 18 [size =\"31012864\"]\n  9 [size=\"151784107\", alpha=\"0.16\", expect_size=\"45535232\"] \n  9 -> 13 [size =\"45535232\"]\n  9 -> 13 [size =\"45535232\"]\n  9 -> 15 [size =\"45535232\"]\n  9 -> 16 [size =\"45535232\"]\n  10 [size=\"107601920\", alpha=\"0.00\", expect_size=\"32280576\"] \n  10 -> 13 [size =\"32280576\"]\n  10 -> 15 [size =\"32280576\"]\n  10 -> 15 [size =\"32280576\"]\n  10 -> 16 [size =\"32280576\"]\n  11 [size=\"107308373\", alpha=\"0.02\", expect_size=\"32192512\"] \n  11 -> 20 [size =\"32192512\"]\n  11 -> 23 [size =\"32192512\"]\n  12 [size=\"43926187\", alpha=\"0.03\", expect_size=\"13177856\"] \n  12 -> 20 [size =\"13177856\"]\n  12 -> 23 [size =\"13177856\"]\n  13 [size=\"40454827\", alpha=\"0.11\", expect_size=\"12136448\"] \n  13 -> 20 [size =\"12136448\"]\n  14 [size=\"39396693\", alpha=\"0.03\", expect_size=\"11819008\"] \n  14 -> 19 [size =\"11819008\"]\n  14 -> 22 [size =\"11819008\"]\n  14 -> 23 [size =\"11819008\"]\n  15 [size=\"26835627\", alpha=\"0.15\", expect_size=\"8050688\"] \n  15 -> 21 [size =\"8050688\"]\n  15 -> 23 [size =\"8050688\"]\n  16 [size=\"122678613\", alpha=\"0.09\", expect_size=\"36803584\"] \n  16 -> 20 [size =\"36803584\"]\n  16 -> 21 [size =\"36803584\"]\n  16 -> 23 [size =\"36803584\"]\n  17 [size=\"149814613\", alpha=\"0.08\", expect_size=\"44944384\"] \n  17 -> 19 [size =\"44944384\"]\n  17 -> 21 [size =\"44944384\"]\n  17 -> 23 [size =\"44944384\"]\n  18 [size=\"142786560\", alpha=\"0.11\", expect_size=\"42835968\"] \n  18 -> 19 [size =\"42835968\"]\n  18 -> 20 [size =\"42835968\"]\n  18 -> 22 [size =\"42835968\"]\n  18 -> 24 [size =\"42835968\"]\n  19 [size=\"111902720\", alpha=\"0.18\", expect_size=\"33570816\"] \n  20 [size=\"78076587\", alpha=\"0.14\", expect_size=\"23422976\"] \n  20 -> 25 [size =\"23422976\"]\n  21 [size=\"81981440\", alpha=\"0.00\", expect_size=\"24594432\"] \n  21 -> 25 [size =\"24594432\"]\n  22 [size=\"98085547\", alpha=\"0.14\", expect_size=\"29425664\"] \n  22 -> 25 [size =\"29425664\"]\n  23 [size=\"118644053\", alpha=\"0.05\", expect_size=\"35593216\"] \n  23 -> 25 [size =\"35593216\"]\n  24 [size=\"50486613\", alpha=\"0.03\", expect_size=\"15145984\"] \n  25 [size=\"77370027\", alpha=\"0.17\", expect_size=\"23211008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46424064\", alpha=\"0.16\", expect_size=\"23212032\"] \n  1 -> 14 [size =\"23212032\"]\n  1 -> 15 [size =\"23212032\"]\n  2 [size=\"49455104\", alpha=\"0.03\", expect_size=\"24727552\"] \n  2 -> 10 [size =\"24727552\"]\n  2 -> 13 [size =\"24727552\"]\n  3 [size=\"49129472\", alpha=\"0.06\", expect_size=\"24564736\"] \n  3 -> 9 [size =\"24564736\"]\n  3 -> 10 [size =\"24564736\"]\n  4 [size=\"101275648\", alpha=\"0.07\", expect_size=\"50637824\"] \n  4 -> 9 [size =\"50637824\"]\n  4 -> 10 [size =\"50637824\"]\n  4 -> 14 [size =\"50637824\"]\n  5 [size=\"65679360\", alpha=\"0.20\", expect_size=\"32839680\"] \n  5 -> 9 [size =\"32839680\"]\n  5 -> 12 [size =\"32839680\"]\n  5 -> 13 [size =\"32839680\"]\n  6 [size=\"58712064\", alpha=\"0.15\", expect_size=\"29356032\"] \n  6 -> 9 [size =\"29356032\"]\n  6 -> 10 [size =\"29356032\"]\n  6 -> 13 [size =\"29356032\"]\n  7 [size=\"91650048\", alpha=\"0.18\", expect_size=\"45825024\"] \n  7 -> 11 [size =\"45825024\"]\n  7 -> 14 [size =\"45825024\"]\n  8 [size=\"103041024\", alpha=\"0.03\", expect_size=\"51520512\"] \n  8 -> 14 [size =\"51520512\"]\n  8 -> 15 [size =\"51520512\"]\n  9 [size=\"58621952\", alpha=\"0.20\", expect_size=\"29310976\"] \n  9 -> 16 [size =\"29310976\"]\n  9 -> 17 [size =\"29310976\"]\n  9 -> 18 [size =\"29310976\"]\n  9 -> 21 [size =\"29310976\"]\n  9 -> 22 [size =\"29310976\"]\n  10 [size=\"99201024\", alpha=\"0.07\", expect_size=\"49600512\"] \n  10 -> 16 [size =\"49600512\"]\n  10 -> 17 [size =\"49600512\"]\n  10 -> 21 [size =\"49600512\"]\n  11 [size=\"17229824\", alpha=\"0.17\", expect_size=\"8614912\"] \n  11 -> 17 [size =\"8614912\"]\n  11 -> 18 [size =\"8614912\"]\n  11 -> 21 [size =\"8614912\"]\n  12 [size=\"93757440\", alpha=\"0.10\", expect_size=\"46878720\"] \n  12 -> 16 [size =\"46878720\"]\n  12 -> 17 [size =\"46878720\"]\n  13 [size=\"12376064\", alpha=\"0.05\", expect_size=\"6188032\"] \n  13 -> 16 [size =\"6188032\"]\n  13 -> 20 [size =\"6188032\"]\n  14 [size=\"39239680\", alpha=\"0.06\", expect_size=\"19619840\"] \n  14 -> 23 [size =\"19619840\"]\n  15 [size=\"70029312\", alpha=\"0.18\", expect_size=\"35014656\"] \n  15 -> 17 [size =\"35014656\"]\n  15 -> 18 [size =\"35014656\"]\n  15 -> 19 [size =\"35014656\"]\n  15 -> 20 [size =\"35014656\"]\n  15 -> 23 [size =\"35014656\"]\n  16 [size=\"68192256\", alpha=\"0.15\", expect_size=\"34096128\"] \n  17 [size=\"45848576\", alpha=\"0.18\", expect_size=\"22924288\"] \n  18 [size=\"35829760\", alpha=\"0.09\", expect_size=\"17914880\"] \n  18 -> 24 [size =\"17914880\"]\n  18 -> 25 [size =\"17914880\"]\n  19 [size=\"51924992\", alpha=\"0.18\", expect_size=\"25962496\"] \n  19 -> 24 [size =\"25962496\"]\n  20 [size=\"50876416\", alpha=\"0.13\", expect_size=\"25438208\"] \n  21 [size=\"81950720\", alpha=\"0.15\", expect_size=\"40975360\"] \n  22 [size=\"67123200\", alpha=\"0.06\", expect_size=\"33561600\"] \n  23 [size=\"17633280\", alpha=\"0.04\", expect_size=\"8816640\"] \n  24 [size=\"39102464\", alpha=\"0.02\", expect_size=\"19551232\"] \n  25 [size=\"67946496\", alpha=\"0.12\", expect_size=\"33973248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99008512\", alpha=\"0.01\", expect_size=\"49504256\"] \n  1 -> 2 [size =\"49504256\"]\n  2 [size=\"28815360\", alpha=\"0.14\", expect_size=\"14407680\"] \n  2 -> 3 [size =\"14407680\"]\n  3 [size=\"42711040\", alpha=\"0.03\", expect_size=\"21355520\"] \n  3 -> 4 [size =\"21355520\"]\n  4 [size=\"21213184\", alpha=\"0.02\", expect_size=\"10606592\"] \n  4 -> 5 [size =\"10606592\"]\n  5 [size=\"24383488\", alpha=\"0.07\", expect_size=\"12191744\"] \n  5 -> 6 [size =\"12191744\"]\n  6 [size=\"53420032\", alpha=\"0.19\", expect_size=\"26710016\"] \n  6 -> 7 [size =\"26710016\"]\n  7 [size=\"14528512\", alpha=\"0.20\", expect_size=\"7264256\"] \n  7 -> 8 [size =\"7264256\"]\n  8 [size=\"84934656\", alpha=\"0.02\", expect_size=\"42467328\"] \n  8 -> 9 [size =\"42467328\"]\n  9 [size=\"72413184\", alpha=\"0.02\", expect_size=\"36206592\"] \n  9 -> 10 [size =\"36206592\"]\n  10 [size=\"13119488\", alpha=\"0.10\", expect_size=\"6559744\"] \n  10 -> 11 [size =\"6559744\"]\n  11 [size=\"46383104\", alpha=\"0.09\", expect_size=\"23191552\"] \n  11 -> 12 [size =\"23191552\"]\n  12 [size=\"52058112\", alpha=\"0.20\", expect_size=\"26029056\"] \n  12 -> 13 [size =\"26029056\"]\n  13 [size=\"25470976\", alpha=\"0.03\", expect_size=\"12735488\"] \n  13 -> 14 [size =\"12735488\"]\n  14 [size=\"40777728\", alpha=\"0.12\", expect_size=\"20388864\"] \n  14 -> 15 [size =\"20388864\"]\n  15 [size=\"51648512\", alpha=\"0.10\", expect_size=\"25824256\"] \n  15 -> 16 [size =\"25824256\"]\n  16 [size=\"85237760\", alpha=\"0.17\", expect_size=\"42618880\"] \n  16 -> 17 [size =\"42618880\"]\n  17 [size=\"78442496\", alpha=\"0.06\", expect_size=\"39221248\"] \n  17 -> 18 [size =\"39221248\"]\n  18 [size=\"77004800\", alpha=\"0.13\", expect_size=\"38502400\"] \n  18 -> 19 [size =\"38502400\"]\n  19 [size=\"88588288\", alpha=\"0.07\", expect_size=\"44294144\"] \n  19 -> 20 [size =\"44294144\"]\n  20 [size=\"95893504\", alpha=\"0.16\", expect_size=\"47946752\"] \n  20 -> 21 [size =\"47946752\"]\n  21 [size=\"48478208\", alpha=\"0.04\", expect_size=\"24239104\"] \n  21 -> 22 [size =\"24239104\"]\n  22 [size=\"91021312\", alpha=\"0.16\", expect_size=\"45510656\"] \n  22 -> 23 [size =\"45510656\"]\n  23 [size=\"90478592\", alpha=\"0.14\", expect_size=\"45239296\"] \n  23 -> 24 [size =\"45239296\"]\n  24 [size=\"12222464\", alpha=\"0.15\", expect_size=\"6111232\"] \n  24 -> 25 [size =\"6111232\"]\n  25 [size=\"68294656\", alpha=\"0.19\", expect_size=\"34147328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91102720\", alpha=\"0.03\", expect_size=\"36441088\"] \n  1 -> 3 [size =\"36441088\"]\n  1 -> 4 [size =\"36441088\"]\n  2 [size=\"101498880\", alpha=\"0.12\", expect_size=\"40599552\"] \n  2 -> 3 [size =\"40599552\"]\n  3 [size=\"128181760\", alpha=\"0.13\", expect_size=\"51272704\"] \n  3 -> 5 [size =\"51272704\"]\n  3 -> 6 [size =\"51272704\"]\n  4 [size=\"108285440\", alpha=\"0.18\", expect_size=\"43314176\"] \n  4 -> 5 [size =\"43314176\"]\n  4 -> 6 [size =\"43314176\"]\n  5 [size=\"65751040\", alpha=\"0.04\", expect_size=\"26300416\"] \n  5 -> 7 [size =\"26300416\"]\n  5 -> 8 [size =\"26300416\"]\n  6 [size=\"124651520\", alpha=\"0.03\", expect_size=\"49860608\"] \n  6 -> 7 [size =\"49860608\"]\n  6 -> 8 [size =\"49860608\"]\n  7 [size=\"71505920\", alpha=\"0.15\", expect_size=\"28602368\"] \n  7 -> 9 [size =\"28602368\"]\n  7 -> 10 [size =\"28602368\"]\n  8 [size=\"118118400\", alpha=\"0.17\", expect_size=\"47247360\"] \n  8 -> 10 [size =\"47247360\"]\n  9 [size=\"41745920\", alpha=\"0.16\", expect_size=\"16698368\"] \n  9 -> 11 [size =\"16698368\"]\n  10 [size=\"88583680\", alpha=\"0.09\", expect_size=\"35433472\"] \n  10 -> 11 [size =\"35433472\"]\n  11 [size=\"34513920\", alpha=\"0.15\", expect_size=\"13805568\"] \n  11 -> 12 [size =\"13805568\"]\n  11 -> 13 [size =\"13805568\"]\n  12 [size=\"54405120\", alpha=\"0.18\", expect_size=\"21762048\"] \n  12 -> 14 [size =\"21762048\"]\n  13 [size=\"125416960\", alpha=\"0.12\", expect_size=\"50166784\"] \n  14 [size=\"85952000\", alpha=\"0.19\", expect_size=\"34380800\"] \n  14 -> 15 [size =\"34380800\"]\n  15 [size=\"71357440\", alpha=\"0.07\", expect_size=\"28542976\"] \n  15 -> 16 [size =\"28542976\"]\n  15 -> 17 [size =\"28542976\"]\n  16 [size=\"92003840\", alpha=\"0.11\", expect_size=\"36801536\"] \n  16 -> 18 [size =\"36801536\"]\n  16 -> 19 [size =\"36801536\"]\n  17 [size=\"107868160\", alpha=\"0.14\", expect_size=\"43147264\"] \n  17 -> 18 [size =\"43147264\"]\n  17 -> 19 [size =\"43147264\"]\n  18 [size=\"78310400\", alpha=\"0.12\", expect_size=\"31324160\"] \n  18 -> 20 [size =\"31324160\"]\n  19 [size=\"59450880\", alpha=\"0.10\", expect_size=\"23780352\"] \n  19 -> 20 [size =\"23780352\"]\n  20 [size=\"34042880\", alpha=\"0.05\", expect_size=\"13617152\"] \n  20 -> 21 [size =\"13617152\"]\n  20 -> 22 [size =\"13617152\"]\n  21 [size=\"87168000\", alpha=\"0.13\", expect_size=\"34867200\"] \n  21 -> 23 [size =\"34867200\"]\n  21 -> 24 [size =\"34867200\"]\n  22 [size=\"58570240\", alpha=\"0.17\", expect_size=\"23428096\"] \n  22 -> 23 [size =\"23428096\"]\n  23 [size=\"48089600\", alpha=\"0.19\", expect_size=\"19235840\"] \n  23 -> 25 [size =\"19235840\"]\n  24 [size=\"116134400\", alpha=\"0.18\", expect_size=\"46453760\"] \n  24 -> 25 [size =\"46453760\"]\n  25 [size=\"112373760\", alpha=\"0.06\", expect_size=\"44949504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89573376\", alpha=\"0.16\", expect_size=\"44786688\"] \n  1 -> 2 [size =\"44786688\"]\n  2 [size=\"61761536\", alpha=\"0.13\", expect_size=\"30880768\"] \n  2 -> 3 [size =\"30880768\"]\n  3 [size=\"68941824\", alpha=\"0.16\", expect_size=\"34470912\"] \n  3 -> 4 [size =\"34470912\"]\n  4 [size=\"26195968\", alpha=\"0.03\", expect_size=\"13097984\"] \n  4 -> 5 [size =\"13097984\"]\n  5 [size=\"70643712\", alpha=\"0.12\", expect_size=\"35321856\"] \n  5 -> 6 [size =\"35321856\"]\n  6 [size=\"83709952\", alpha=\"0.06\", expect_size=\"41854976\"] \n  6 -> 7 [size =\"41854976\"]\n  7 [size=\"53868544\", alpha=\"0.17\", expect_size=\"26934272\"] \n  7 -> 8 [size =\"26934272\"]\n  8 [size=\"13627392\", alpha=\"0.00\", expect_size=\"6813696\"] \n  8 -> 9 [size =\"6813696\"]\n  9 [size=\"25655296\", alpha=\"0.15\", expect_size=\"12827648\"] \n  9 -> 10 [size =\"12827648\"]\n  10 [size=\"32624640\", alpha=\"0.13\", expect_size=\"16312320\"] \n  10 -> 11 [size =\"16312320\"]\n  11 [size=\"56563712\", alpha=\"0.18\", expect_size=\"28281856\"] \n  11 -> 12 [size =\"28281856\"]\n  12 [size=\"39778304\", alpha=\"0.04\", expect_size=\"19889152\"] \n  12 -> 13 [size =\"19889152\"]\n  13 [size=\"101978112\", alpha=\"0.15\", expect_size=\"50989056\"] \n  13 -> 14 [size =\"50989056\"]\n  14 [size=\"84019200\", alpha=\"0.16\", expect_size=\"42009600\"] \n  14 -> 15 [size =\"42009600\"]\n  15 [size=\"97368064\", alpha=\"0.11\", expect_size=\"48684032\"] \n  15 -> 16 [size =\"48684032\"]\n  16 [size=\"59518976\", alpha=\"0.04\", expect_size=\"29759488\"] \n  16 -> 17 [size =\"29759488\"]\n  17 [size=\"89012224\", alpha=\"0.13\", expect_size=\"44506112\"] \n  17 -> 18 [size =\"44506112\"]\n  18 [size=\"72847360\", alpha=\"0.15\", expect_size=\"36423680\"] \n  18 -> 19 [size =\"36423680\"]\n  19 [size=\"74311680\", alpha=\"0.06\", expect_size=\"37155840\"] \n  19 -> 20 [size =\"37155840\"]\n  20 [size=\"50716672\", alpha=\"0.19\", expect_size=\"25358336\"] \n  20 -> 21 [size =\"25358336\"]\n  21 [size=\"17041408\", alpha=\"0.09\", expect_size=\"8520704\"] \n  21 -> 22 [size =\"8520704\"]\n  22 [size=\"104034304\", alpha=\"0.09\", expect_size=\"52017152\"] \n  22 -> 23 [size =\"52017152\"]\n  23 [size=\"28946432\", alpha=\"0.01\", expect_size=\"14473216\"] \n  23 -> 24 [size =\"14473216\"]\n  24 [size=\"101505024\", alpha=\"0.17\", expect_size=\"50752512\"] \n  24 -> 25 [size =\"50752512\"]\n  25 [size=\"83791872\", alpha=\"0.06\", expect_size=\"41895936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161771520\", alpha=\"0.01\", expect_size=\"48531456\"] \n  1 -> 2 [size =\"48531456\"]\n  2 [size=\"134918827\", alpha=\"0.06\", expect_size=\"40475648\"] \n  2 -> 3 [size =\"40475648\"]\n  3 [size=\"106717867\", alpha=\"0.08\", expect_size=\"32015360\"] \n  3 -> 4 [size =\"32015360\"]\n  3 -> 5 [size =\"32015360\"]\n  4 [size=\"26265600\", alpha=\"0.12\", expect_size=\"7879680\"] \n  4 -> 6 [size =\"7879680\"]\n  5 [size=\"49664000\", alpha=\"0.00\", expect_size=\"14899200\"] \n  6 [size=\"145541120\", alpha=\"0.01\", expect_size=\"43662336\"] \n  6 -> 7 [size =\"43662336\"]\n  7 [size=\"36577280\", alpha=\"0.09\", expect_size=\"10973184\"] \n  7 -> 8 [size =\"10973184\"]\n  8 [size=\"93313707\", alpha=\"0.12\", expect_size=\"27994112\"] \n  8 -> 9 [size =\"27994112\"]\n  8 -> 10 [size =\"27994112\"]\n  9 [size=\"28494507\", alpha=\"0.02\", expect_size=\"8548352\"] \n  9 -> 11 [size =\"8548352\"]\n  10 [size=\"117418667\", alpha=\"0.12\", expect_size=\"35225600\"] \n  11 [size=\"88698880\", alpha=\"0.07\", expect_size=\"26609664\"] \n  11 -> 12 [size =\"26609664\"]\n  12 [size=\"100215467\", alpha=\"0.16\", expect_size=\"30064640\"] \n  12 -> 13 [size =\"30064640\"]\n  13 [size=\"150347093\", alpha=\"0.11\", expect_size=\"45104128\"] \n  13 -> 14 [size =\"45104128\"]\n  14 [size=\"56623787\", alpha=\"0.17\", expect_size=\"16987136\"] \n  14 -> 15 [size =\"16987136\"]\n  14 -> 16 [size =\"16987136\"]\n  15 [size=\"149899947\", alpha=\"0.07\", expect_size=\"44969984\"] \n  16 [size=\"151866027\", alpha=\"0.06\", expect_size=\"45559808\"] \n  16 -> 17 [size =\"45559808\"]\n  17 [size=\"163287040\", alpha=\"0.16\", expect_size=\"48986112\"] \n  17 -> 18 [size =\"48986112\"]\n  18 [size=\"79264427\", alpha=\"0.06\", expect_size=\"23779328\"] \n  18 -> 19 [size =\"23779328\"]\n  18 -> 20 [size =\"23779328\"]\n  19 [size=\"174428160\", alpha=\"0.06\", expect_size=\"52328448\"] \n  19 -> 21 [size =\"52328448\"]\n  20 [size=\"30532267\", alpha=\"0.02\", expect_size=\"9159680\"] \n  20 -> 22 [size =\"9159680\"]\n  21 [size=\"122695680\", alpha=\"0.16\", expect_size=\"36808704\"] \n  21 -> 24 [size =\"36808704\"]\n  22 [size=\"17718613\", alpha=\"0.05\", expect_size=\"5315584\"] \n  22 -> 23 [size =\"5315584\"]\n  23 [size=\"147438933\", alpha=\"0.06\", expect_size=\"44231680\"] \n  23 -> 25 [size =\"44231680\"]\n  24 [size=\"75789653\", alpha=\"0.07\", expect_size=\"22736896\"] \n  25 [size=\"53995520\", alpha=\"0.13\", expect_size=\"16198656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136765440\", alpha=\"0.07\", expect_size=\"41029632\"] \n  2 [size=\"60972373\", alpha=\"0.05\", expect_size=\"18291712\"] \n  2 -> 22 [size =\"18291712\"]\n  2 -> 23 [size =\"18291712\"]\n  3 [size=\"28863147\", alpha=\"0.10\", expect_size=\"8658944\"] \n  3 -> 23 [size =\"8658944\"]\n  4 [size=\"102765227\", alpha=\"0.17\", expect_size=\"30829568\"] \n  4 -> 25 [size =\"30829568\"]\n  5 [size=\"18319360\", alpha=\"0.01\", expect_size=\"5495808\"] \n  5 -> 22 [size =\"5495808\"]\n  5 -> 23 [size =\"5495808\"]\n  6 [size=\"131143680\", alpha=\"0.16\", expect_size=\"39343104\"] \n  6 -> 22 [size =\"39343104\"]\n  7 [size=\"157156693\", alpha=\"0.19\", expect_size=\"47147008\"] \n  8 [size=\"40468480\", alpha=\"0.06\", expect_size=\"12140544\"] \n  8 -> 22 [size =\"12140544\"]\n  8 -> 23 [size =\"12140544\"]\n  9 [size=\"50681173\", alpha=\"0.05\", expect_size=\"15204352\"] \n  9 -> 22 [size =\"15204352\"]\n  10 [size=\"163061760\", alpha=\"0.01\", expect_size=\"48918528\"] \n  10 -> 22 [size =\"48918528\"]\n  10 -> 23 [size =\"48918528\"]\n  11 [size=\"23248213\", alpha=\"0.14\", expect_size=\"6974464\"] \n  11 -> 22 [size =\"6974464\"]\n  11 -> 23 [size =\"6974464\"]\n  12 [size=\"78342827\", alpha=\"0.18\", expect_size=\"23502848\"] \n  12 -> 22 [size =\"23502848\"]\n  12 -> 23 [size =\"23502848\"]\n  12 -> 25 [size =\"23502848\"]\n  13 [size=\"120780800\", alpha=\"0.05\", expect_size=\"36234240\"] \n  13 -> 22 [size =\"36234240\"]\n  13 -> 25 [size =\"36234240\"]\n  14 [size=\"39181653\", alpha=\"0.04\", expect_size=\"11754496\"] \n  14 -> 25 [size =\"11754496\"]\n  14 -> 25 [size =\"11754496\"]\n  15 [size=\"18950827\", alpha=\"0.04\", expect_size=\"5685248\"] \n  15 -> 24 [size =\"5685248\"]\n  15 -> 25 [size =\"5685248\"]\n  16 [size=\"23968427\", alpha=\"0.15\", expect_size=\"7190528\"] \n  17 [size=\"149609813\", alpha=\"0.18\", expect_size=\"44882944\"] \n  17 -> 23 [size =\"44882944\"]\n  18 [size=\"145554773\", alpha=\"0.03\", expect_size=\"43666432\"] \n  18 -> 22 [size =\"43666432\"]\n  18 -> 23 [size =\"43666432\"]\n  18 -> 24 [size =\"43666432\"]\n  19 [size=\"36263253\", alpha=\"0.07\", expect_size=\"10878976\"] \n  19 -> 22 [size =\"10878976\"]\n  20 [size=\"73700693\", alpha=\"0.05\", expect_size=\"22110208\"] \n  20 -> 23 [size =\"22110208\"]\n  20 -> 24 [size =\"22110208\"]\n  21 [size=\"78759253\", alpha=\"0.18\", expect_size=\"23627776\"] \n  22 [size=\"34863787\", alpha=\"0.17\", expect_size=\"10459136\"] \n  23 [size=\"21606400\", alpha=\"0.17\", expect_size=\"6481920\"] \n  24 [size=\"57098240\", alpha=\"0.08\", expect_size=\"17129472\"] \n  25 [size=\"90862933\", alpha=\"0.19\", expect_size=\"27258880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56261120\", alpha=\"0.04\", expect_size=\"22504448\"] \n  1 -> 10 [size =\"22504448\"]\n  1 -> 11 [size =\"22504448\"]\n  1 -> 13 [size =\"22504448\"]\n  1 -> 14 [size =\"22504448\"]\n  1 -> 15 [size =\"22504448\"]\n  1 -> 16 [size =\"22504448\"]\n  1 -> 19 [size =\"22504448\"]\n  1 -> 21 [size =\"22504448\"]\n  2 [size=\"98104320\", alpha=\"0.07\", expect_size=\"39241728\"] \n  2 -> 10 [size =\"39241728\"]\n  2 -> 15 [size =\"39241728\"]\n  2 -> 16 [size =\"39241728\"]\n  2 -> 17 [size =\"39241728\"]\n  2 -> 18 [size =\"39241728\"]\n  2 -> 20 [size =\"39241728\"]\n  2 -> 22 [size =\"39241728\"]\n  2 -> 23 [size =\"39241728\"]\n  3 [size=\"35046400\", alpha=\"0.10\", expect_size=\"14018560\"] \n  3 -> 10 [size =\"14018560\"]\n  3 -> 12 [size =\"14018560\"]\n  3 -> 14 [size =\"14018560\"]\n  3 -> 15 [size =\"14018560\"]\n  3 -> 17 [size =\"14018560\"]\n  3 -> 24 [size =\"14018560\"]\n  4 [size=\"56629760\", alpha=\"0.20\", expect_size=\"22651904\"] \n  4 -> 11 [size =\"22651904\"]\n  4 -> 14 [size =\"22651904\"]\n  4 -> 14 [size =\"22651904\"]\n  4 -> 17 [size =\"22651904\"]\n  4 -> 17 [size =\"22651904\"]\n  4 -> 18 [size =\"22651904\"]\n  4 -> 19 [size =\"22651904\"]\n  4 -> 22 [size =\"22651904\"]\n  5 [size=\"130112000\", alpha=\"0.08\", expect_size=\"52044800\"] \n  5 -> 10 [size =\"52044800\"]\n  5 -> 14 [size =\"52044800\"]\n  5 -> 15 [size =\"52044800\"]\n  5 -> 16 [size =\"52044800\"]\n  5 -> 18 [size =\"52044800\"]\n  5 -> 18 [size =\"52044800\"]\n  5 -> 23 [size =\"52044800\"]\n  5 -> 24 [size =\"52044800\"]\n  6 [size=\"102164480\", alpha=\"0.03\", expect_size=\"40865792\"] \n  6 -> 10 [size =\"40865792\"]\n  6 -> 11 [size =\"40865792\"]\n  6 -> 12 [size =\"40865792\"]\n  6 -> 14 [size =\"40865792\"]\n  6 -> 15 [size =\"40865792\"]\n  6 -> 16 [size =\"40865792\"]\n  6 -> 18 [size =\"40865792\"]\n  6 -> 20 [size =\"40865792\"]\n  6 -> 21 [size =\"40865792\"]\n  6 -> 24 [size =\"40865792\"]\n  7 [size=\"76464640\", alpha=\"0.08\", expect_size=\"30585856\"] \n  7 -> 11 [size =\"30585856\"]\n  7 -> 12 [size =\"30585856\"]\n  7 -> 15 [size =\"30585856\"]\n  7 -> 16 [size =\"30585856\"]\n  7 -> 17 [size =\"30585856\"]\n  7 -> 18 [size =\"30585856\"]\n  7 -> 18 [size =\"30585856\"]\n  7 -> 21 [size =\"30585856\"]\n  7 -> 24 [size =\"30585856\"]\n  8 [size=\"59522560\", alpha=\"0.16\", expect_size=\"23809024\"] \n  8 -> 11 [size =\"23809024\"]\n  8 -> 14 [size =\"23809024\"]\n  8 -> 15 [size =\"23809024\"]\n  8 -> 16 [size =\"23809024\"]\n  8 -> 17 [size =\"23809024\"]\n  8 -> 18 [size =\"23809024\"]\n  8 -> 21 [size =\"23809024\"]\n  8 -> 21 [size =\"23809024\"]\n  8 -> 22 [size =\"23809024\"]\n  8 -> 24 [size =\"23809024\"]\n  9 [size=\"88207360\", alpha=\"0.19\", expect_size=\"35282944\"] \n  9 -> 11 [size =\"35282944\"]\n  9 -> 12 [size =\"35282944\"]\n  9 -> 15 [size =\"35282944\"]\n  9 -> 16 [size =\"35282944\"]\n  9 -> 17 [size =\"35282944\"]\n  9 -> 18 [size =\"35282944\"]\n  9 -> 19 [size =\"35282944\"]\n  9 -> 21 [size =\"35282944\"]\n  9 -> 24 [size =\"35282944\"]\n  9 -> 25 [size =\"35282944\"]\n  10 [size=\"20241920\", alpha=\"0.19\", expect_size=\"8096768\"] \n  11 [size=\"130992640\", alpha=\"0.16\", expect_size=\"52397056\"] \n  12 [size=\"39029760\", alpha=\"0.14\", expect_size=\"15611904\"] \n  13 [size=\"81799680\", alpha=\"0.14\", expect_size=\"32719872\"] \n  14 [size=\"23247360\", alpha=\"0.10\", expect_size=\"9298944\"] \n  15 [size=\"20828160\", alpha=\"0.18\", expect_size=\"8331264\"] \n  16 [size=\"68124160\", alpha=\"0.17\", expect_size=\"27249664\"] \n  17 [size=\"83453440\", alpha=\"0.13\", expect_size=\"33381376\"] \n  18 [size=\"129377280\", alpha=\"0.17\", expect_size=\"51750912\"] \n  19 [size=\"102909440\", alpha=\"0.19\", expect_size=\"41163776\"] \n  20 [size=\"95587840\", alpha=\"0.02\", expect_size=\"38235136\"] \n  21 [size=\"89958400\", alpha=\"0.12\", expect_size=\"35983360\"] \n  22 [size=\"64645120\", alpha=\"0.17\", expect_size=\"25858048\"] \n  23 [size=\"30108160\", alpha=\"0.06\", expect_size=\"12043264\"] \n  24 [size=\"111782400\", alpha=\"0.01\", expect_size=\"44712960\"] \n  25 [size=\"51719680\", alpha=\"0.17\", expect_size=\"20687872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39565312\", alpha=\"0.14\", expect_size=\"19782656\"] \n  2 [size=\"97712128\", alpha=\"0.13\", expect_size=\"48856064\"] \n  2 -> 3 [size =\"48856064\"]\n  3 [size=\"72818688\", alpha=\"0.11\", expect_size=\"36409344\"] \n  3 -> 4 [size =\"36409344\"]\n  4 [size=\"13238272\", alpha=\"0.14\", expect_size=\"6619136\"] \n  4 -> 5 [size =\"6619136\"]\n  4 -> 6 [size =\"6619136\"]\n  5 [size=\"94922752\", alpha=\"0.19\", expect_size=\"47461376\"] \n  6 [size=\"45156352\", alpha=\"0.01\", expect_size=\"22578176\"] \n  6 -> 7 [size =\"22578176\"]\n  7 [size=\"60626944\", alpha=\"0.00\", expect_size=\"30313472\"] \n  7 -> 8 [size =\"30313472\"]\n  8 [size=\"88844288\", alpha=\"0.11\", expect_size=\"44422144\"] \n  8 -> 9 [size =\"44422144\"]\n  9 [size=\"12886016\", alpha=\"0.03\", expect_size=\"6443008\"] \n  9 -> 10 [size =\"6443008\"]\n  9 -> 11 [size =\"6443008\"]\n  10 [size=\"57989120\", alpha=\"0.18\", expect_size=\"28994560\"] \n  11 [size=\"85071872\", alpha=\"0.07\", expect_size=\"42535936\"] \n  11 -> 12 [size =\"42535936\"]\n  12 [size=\"55447552\", alpha=\"0.13\", expect_size=\"27723776\"] \n  12 -> 13 [size =\"27723776\"]\n  12 -> 14 [size =\"27723776\"]\n  13 [size=\"21571584\", alpha=\"0.18\", expect_size=\"10785792\"] \n  14 [size=\"74688512\", alpha=\"0.01\", expect_size=\"37344256\"] \n  14 -> 15 [size =\"37344256\"]\n  14 -> 16 [size =\"37344256\"]\n  15 [size=\"46059520\", alpha=\"0.19\", expect_size=\"23029760\"] \n  15 -> 17 [size =\"23029760\"]\n  16 [size=\"42649600\", alpha=\"0.16\", expect_size=\"21324800\"] \n  17 [size=\"47863808\", alpha=\"0.16\", expect_size=\"23931904\"] \n  17 -> 18 [size =\"23931904\"]\n  18 [size=\"48955392\", alpha=\"0.09\", expect_size=\"24477696\"] \n  18 -> 19 [size =\"24477696\"]\n  18 -> 20 [size =\"24477696\"]\n  19 [size=\"99801088\", alpha=\"0.04\", expect_size=\"49900544\"] \n  19 -> 21 [size =\"49900544\"]\n  20 [size=\"17475584\", alpha=\"0.06\", expect_size=\"8737792\"] \n  21 [size=\"102328320\", alpha=\"0.15\", expect_size=\"51164160\"] \n  21 -> 22 [size =\"51164160\"]\n  22 [size=\"42102784\", alpha=\"0.02\", expect_size=\"21051392\"] \n  22 -> 23 [size =\"21051392\"]\n  22 -> 24 [size =\"21051392\"]\n  23 [size=\"10768384\", alpha=\"0.02\", expect_size=\"5384192\"] \n  24 [size=\"97204224\", alpha=\"0.03\", expect_size=\"48602112\"] \n  24 -> 25 [size =\"48602112\"]\n  25 [size=\"102445056\", alpha=\"0.02\", expect_size=\"51222528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128027307\", alpha=\"0.18\", expect_size=\"38408192\"] \n  1 -> 2 [size =\"38408192\"]\n  2 [size=\"67795627\", alpha=\"0.02\", expect_size=\"20338688\"] \n  2 -> 3 [size =\"20338688\"]\n  3 [size=\"59910827\", alpha=\"0.14\", expect_size=\"17973248\"] \n  3 -> 4 [size =\"17973248\"]\n  4 [size=\"156757333\", alpha=\"0.06\", expect_size=\"47027200\"] \n  4 -> 5 [size =\"47027200\"]\n  5 [size=\"136038400\", alpha=\"0.04\", expect_size=\"40811520\"] \n  5 -> 6 [size =\"40811520\"]\n  6 [size=\"30085120\", alpha=\"0.04\", expect_size=\"9025536\"] \n  6 -> 7 [size =\"9025536\"]\n  7 [size=\"172666880\", alpha=\"0.14\", expect_size=\"51800064\"] \n  7 -> 8 [size =\"51800064\"]\n  8 [size=\"135680000\", alpha=\"0.10\", expect_size=\"40704000\"] \n  8 -> 9 [size =\"40704000\"]\n  9 [size=\"86903467\", alpha=\"0.16\", expect_size=\"26071040\"] \n  9 -> 10 [size =\"26071040\"]\n  10 [size=\"169823573\", alpha=\"0.04\", expect_size=\"50947072\"] \n  10 -> 11 [size =\"50947072\"]\n  11 [size=\"108977493\", alpha=\"0.14\", expect_size=\"32693248\"] \n  11 -> 12 [size =\"32693248\"]\n  12 [size=\"95211520\", alpha=\"0.00\", expect_size=\"28563456\"] \n  12 -> 13 [size =\"28563456\"]\n  13 [size=\"113725440\", alpha=\"0.08\", expect_size=\"34117632\"] \n  13 -> 14 [size =\"34117632\"]\n  14 [size=\"65607680\", alpha=\"0.16\", expect_size=\"19682304\"] \n  14 -> 15 [size =\"19682304\"]\n  15 [size=\"112459093\", alpha=\"0.14\", expect_size=\"33737728\"] \n  15 -> 16 [size =\"33737728\"]\n  16 [size=\"144837973\", alpha=\"0.03\", expect_size=\"43451392\"] \n  16 -> 17 [size =\"43451392\"]\n  17 [size=\"22562133\", alpha=\"0.06\", expect_size=\"6768640\"] \n  17 -> 18 [size =\"6768640\"]\n  18 [size=\"129720320\", alpha=\"0.02\", expect_size=\"38916096\"] \n  18 -> 19 [size =\"38916096\"]\n  19 [size=\"50152107\", alpha=\"0.04\", expect_size=\"15045632\"] \n  19 -> 20 [size =\"15045632\"]\n  20 [size=\"22152533\", alpha=\"0.19\", expect_size=\"6645760\"] \n  20 -> 21 [size =\"6645760\"]\n  21 [size=\"53920427\", alpha=\"0.09\", expect_size=\"16176128\"] \n  21 -> 22 [size =\"16176128\"]\n  22 [size=\"160986453\", alpha=\"0.05\", expect_size=\"48295936\"] \n  22 -> 23 [size =\"48295936\"]\n  23 [size=\"161133227\", alpha=\"0.06\", expect_size=\"48339968\"] \n  23 -> 24 [size =\"48339968\"]\n  24 [size=\"68962987\", alpha=\"0.05\", expect_size=\"20688896\"] \n  24 -> 25 [size =\"20688896\"]\n  25 [size=\"35280213\", alpha=\"0.20\", expect_size=\"10584064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72611840\", alpha=\"0.12\", expect_size=\"29044736\"] \n  1 -> 2 [size =\"29044736\"]\n  1 -> 3 [size =\"29044736\"]\n  2 [size=\"26987520\", alpha=\"0.13\", expect_size=\"10795008\"] \n  3 [size=\"28006400\", alpha=\"0.02\", expect_size=\"11202560\"] \n  3 -> 4 [size =\"11202560\"]\n  4 [size=\"92805120\", alpha=\"0.07\", expect_size=\"37122048\"] \n  4 -> 5 [size =\"37122048\"]\n  4 -> 6 [size =\"37122048\"]\n  5 [size=\"74685440\", alpha=\"0.08\", expect_size=\"29874176\"] \n  5 -> 7 [size =\"29874176\"]\n  5 -> 8 [size =\"29874176\"]\n  6 [size=\"94758400\", alpha=\"0.11\", expect_size=\"37903360\"] \n  6 -> 8 [size =\"37903360\"]\n  7 [size=\"66485760\", alpha=\"0.12\", expect_size=\"26594304\"] \n  7 -> 9 [size =\"26594304\"]\n  8 [size=\"18795520\", alpha=\"0.03\", expect_size=\"7518208\"] \n  9 [size=\"78059520\", alpha=\"0.20\", expect_size=\"31223808\"] \n  9 -> 10 [size =\"31223808\"]\n  9 -> 11 [size =\"31223808\"]\n  10 [size=\"103703040\", alpha=\"0.19\", expect_size=\"41481216\"] \n  10 -> 12 [size =\"41481216\"]\n  10 -> 13 [size =\"41481216\"]\n  11 [size=\"67640320\", alpha=\"0.16\", expect_size=\"27056128\"] \n  11 -> 13 [size =\"27056128\"]\n  12 [size=\"19146240\", alpha=\"0.06\", expect_size=\"7658496\"] \n  12 -> 14 [size =\"7658496\"]\n  13 [size=\"95959040\", alpha=\"0.09\", expect_size=\"38383616\"] \n  13 -> 15 [size =\"38383616\"]\n  14 [size=\"106728960\", alpha=\"0.17\", expect_size=\"42691584\"] \n  14 -> 16 [size =\"42691584\"]\n  14 -> 17 [size =\"42691584\"]\n  15 [size=\"27281920\", alpha=\"0.06\", expect_size=\"10912768\"] \n  15 -> 17 [size =\"10912768\"]\n  16 [size=\"71836160\", alpha=\"0.14\", expect_size=\"28734464\"] \n  16 -> 18 [size =\"28734464\"]\n  17 [size=\"20533760\", alpha=\"0.19\", expect_size=\"8213504\"] \n  18 [size=\"93355520\", alpha=\"0.16\", expect_size=\"37342208\"] \n  18 -> 19 [size =\"37342208\"]\n  18 -> 20 [size =\"37342208\"]\n  19 [size=\"110382080\", alpha=\"0.15\", expect_size=\"44152832\"] \n  19 -> 21 [size =\"44152832\"]\n  20 [size=\"109708800\", alpha=\"0.20\", expect_size=\"43883520\"] \n  21 [size=\"103495680\", alpha=\"0.14\", expect_size=\"41398272\"] \n  21 -> 22 [size =\"41398272\"]\n  22 [size=\"80097280\", alpha=\"0.12\", expect_size=\"32038912\"] \n  22 -> 23 [size =\"32038912\"]\n  22 -> 24 [size =\"32038912\"]\n  23 [size=\"114234880\", alpha=\"0.11\", expect_size=\"45693952\"] \n  23 -> 25 [size =\"45693952\"]\n  24 [size=\"46909440\", alpha=\"0.05\", expect_size=\"18763776\"] \n  25 [size=\"28986880\", alpha=\"0.08\", expect_size=\"11594752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141243733\", alpha=\"0.04\", expect_size=\"42373120\"] \n  1 -> 19 [size =\"42373120\"]\n  1 -> 21 [size =\"42373120\"]\n  2 [size=\"172711253\", alpha=\"0.04\", expect_size=\"51813376\"] \n  2 -> 25 [size =\"51813376\"]\n  3 [size=\"37877760\", alpha=\"0.02\", expect_size=\"11363328\"] \n  3 -> 23 [size =\"11363328\"]\n  3 -> 24 [size =\"11363328\"]\n  3 -> 25 [size =\"11363328\"]\n  4 [size=\"43250347\", alpha=\"0.08\", expect_size=\"12975104\"] \n  4 -> 23 [size =\"12975104\"]\n  4 -> 24 [size =\"12975104\"]\n  4 -> 25 [size =\"12975104\"]\n  5 [size=\"84227413\", alpha=\"0.17\", expect_size=\"25268224\"] \n  5 -> 23 [size =\"25268224\"]\n  5 -> 24 [size =\"25268224\"]\n  5 -> 25 [size =\"25268224\"]\n  6 [size=\"75475627\", alpha=\"0.09\", expect_size=\"22642688\"] \n  6 -> 23 [size =\"22642688\"]\n  6 -> 24 [size =\"22642688\"]\n  6 -> 25 [size =\"22642688\"]\n  7 [size=\"114298880\", alpha=\"0.00\", expect_size=\"34289664\"] \n  7 -> 18 [size =\"34289664\"]\n  7 -> 23 [size =\"34289664\"]\n  7 -> 24 [size =\"34289664\"]\n  7 -> 25 [size =\"34289664\"]\n  8 [size=\"74407253\", alpha=\"0.02\", expect_size=\"22322176\"] \n  8 -> 20 [size =\"22322176\"]\n  8 -> 24 [size =\"22322176\"]\n  9 [size=\"145544533\", alpha=\"0.04\", expect_size=\"43663360\"] \n  9 -> 18 [size =\"43663360\"]\n  9 -> 22 [size =\"43663360\"]\n  10 [size=\"107226453\", alpha=\"0.11\", expect_size=\"32167936\"] \n  10 -> 18 [size =\"32167936\"]\n  10 -> 21 [size =\"32167936\"]\n  10 -> 22 [size =\"32167936\"]\n  11 [size=\"66860373\", alpha=\"0.19\", expect_size=\"20058112\"] \n  12 [size=\"97160533\", alpha=\"0.05\", expect_size=\"29148160\"] \n  12 -> 24 [size =\"29148160\"]\n  12 -> 25 [size =\"29148160\"]\n  13 [size=\"132201813\", alpha=\"0.19\", expect_size=\"39660544\"] \n  13 -> 23 [size =\"39660544\"]\n  13 -> 25 [size =\"39660544\"]\n  14 [size=\"144708267\", alpha=\"0.19\", expect_size=\"43412480\"] \n  14 -> 19 [size =\"43412480\"]\n  14 -> 22 [size =\"43412480\"]\n  15 [size=\"49390933\", alpha=\"0.01\", expect_size=\"14817280\"] \n  16 [size=\"26487467\", alpha=\"0.10\", expect_size=\"7946240\"] \n  16 -> 22 [size =\"7946240\"]\n  17 [size=\"93433173\", alpha=\"0.05\", expect_size=\"28029952\"] \n  17 -> 18 [size =\"28029952\"]\n  17 -> 23 [size =\"28029952\"]\n  18 [size=\"95518720\", alpha=\"0.06\", expect_size=\"28655616\"] \n  19 [size=\"113145173\", alpha=\"0.09\", expect_size=\"33943552\"] \n  20 [size=\"141571413\", alpha=\"0.01\", expect_size=\"42471424\"] \n  21 [size=\"72775680\", alpha=\"0.08\", expect_size=\"21832704\"] \n  22 [size=\"66041173\", alpha=\"0.15\", expect_size=\"19812352\"] \n  23 [size=\"108165120\", alpha=\"0.05\", expect_size=\"32449536\"] \n  24 [size=\"97324373\", alpha=\"0.18\", expect_size=\"29197312\"] \n  25 [size=\"88036693\", alpha=\"0.20\", expect_size=\"26411008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78953813\", alpha=\"0.01\", expect_size=\"23686144\"] \n  1 -> 21 [size =\"23686144\"]\n  1 -> 22 [size =\"23686144\"]\n  2 [size=\"163280213\", alpha=\"0.06\", expect_size=\"48984064\"] \n  2 -> 22 [size =\"48984064\"]\n  2 -> 25 [size =\"48984064\"]\n  3 [size=\"55029760\", alpha=\"0.12\", expect_size=\"16508928\"] \n  3 -> 21 [size =\"16508928\"]\n  3 -> 24 [size =\"16508928\"]\n  4 [size=\"172465493\", alpha=\"0.20\", expect_size=\"51739648\"] \n  4 -> 21 [size =\"51739648\"]\n  5 [size=\"159812267\", alpha=\"0.04\", expect_size=\"47943680\"] \n  5 -> 21 [size =\"47943680\"]\n  5 -> 22 [size =\"47943680\"]\n  5 -> 23 [size =\"47943680\"]\n  6 [size=\"79482880\", alpha=\"0.05\", expect_size=\"23844864\"] \n  6 -> 22 [size =\"23844864\"]\n  6 -> 23 [size =\"23844864\"]\n  6 -> 24 [size =\"23844864\"]\n  7 [size=\"57873067\", alpha=\"0.08\", expect_size=\"17361920\"] \n  7 -> 22 [size =\"17361920\"]\n  7 -> 23 [size =\"17361920\"]\n  7 -> 24 [size =\"17361920\"]\n  7 -> 25 [size =\"17361920\"]\n  8 [size=\"111895893\", alpha=\"0.01\", expect_size=\"33568768\"] \n  8 -> 21 [size =\"33568768\"]\n  9 [size=\"132208640\", alpha=\"0.17\", expect_size=\"39662592\"] \n  9 -> 21 [size =\"39662592\"]\n  10 [size=\"126569813\", alpha=\"0.09\", expect_size=\"37970944\"] \n  10 -> 22 [size =\"37970944\"]\n  11 [size=\"58808320\", alpha=\"0.00\", expect_size=\"17642496\"] \n  11 -> 22 [size =\"17642496\"]\n  11 -> 23 [size =\"17642496\"]\n  12 [size=\"68314453\", alpha=\"0.01\", expect_size=\"20494336\"] \n  12 -> 20 [size =\"20494336\"]\n  12 -> 24 [size =\"20494336\"]\n  13 [size=\"117500587\", alpha=\"0.07\", expect_size=\"35250176\"] \n  13 -> 21 [size =\"35250176\"]\n  13 -> 24 [size =\"35250176\"]\n  14 [size=\"54353920\", alpha=\"0.04\", expect_size=\"16306176\"] \n  14 -> 21 [size =\"16306176\"]\n  14 -> 24 [size =\"16306176\"]\n  14 -> 25 [size =\"16306176\"]\n  15 [size=\"54009173\", alpha=\"0.04\", expect_size=\"16202752\"] \n  15 -> 21 [size =\"16202752\"]\n  15 -> 24 [size =\"16202752\"]\n  15 -> 25 [size =\"16202752\"]\n  16 [size=\"88323413\", alpha=\"0.11\", expect_size=\"26497024\"] \n  16 -> 19 [size =\"26497024\"]\n  16 -> 21 [size =\"26497024\"]\n  16 -> 25 [size =\"26497024\"]\n  17 [size=\"127682560\", alpha=\"0.08\", expect_size=\"38304768\"] \n  17 -> 20 [size =\"38304768\"]\n  17 -> 24 [size =\"38304768\"]\n  18 [size=\"36488533\", alpha=\"0.08\", expect_size=\"10946560\"] \n  18 -> 24 [size =\"10946560\"]\n  18 -> 25 [size =\"10946560\"]\n  19 [size=\"47885653\", alpha=\"0.09\", expect_size=\"14365696\"] \n  20 [size=\"27132587\", alpha=\"0.06\", expect_size=\"8139776\"] \n  21 [size=\"100608000\", alpha=\"0.10\", expect_size=\"30182400\"] \n  22 [size=\"100969813\", alpha=\"0.12\", expect_size=\"30290944\"] \n  23 [size=\"106530133\", alpha=\"0.19\", expect_size=\"31959040\"] \n  24 [size=\"164444160\", alpha=\"0.06\", expect_size=\"49333248\"] \n  25 [size=\"35590827\", alpha=\"0.12\", expect_size=\"10677248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50290688\", alpha=\"0.01\", expect_size=\"25145344\"] \n  1 -> 2 [size =\"25145344\"]\n  2 [size=\"48254976\", alpha=\"0.06\", expect_size=\"24127488\"] \n  2 -> 3 [size =\"24127488\"]\n  2 -> 4 [size =\"24127488\"]\n  3 [size=\"42641408\", alpha=\"0.10\", expect_size=\"21320704\"] \n  3 -> 5 [size =\"21320704\"]\n  4 [size=\"24313856\", alpha=\"0.01\", expect_size=\"12156928\"] \n  4 -> 5 [size =\"12156928\"]\n  5 [size=\"40491008\", alpha=\"0.07\", expect_size=\"20245504\"] \n  5 -> 6 [size =\"20245504\"]\n  6 [size=\"77690880\", alpha=\"0.11\", expect_size=\"38845440\"] \n  6 -> 7 [size =\"38845440\"]\n  6 -> 8 [size =\"38845440\"]\n  7 [size=\"23617536\", alpha=\"0.16\", expect_size=\"11808768\"] \n  7 -> 9 [size =\"11808768\"]\n  8 [size=\"14264320\", alpha=\"0.06\", expect_size=\"7132160\"] \n  8 -> 9 [size =\"7132160\"]\n  9 [size=\"72310784\", alpha=\"0.18\", expect_size=\"36155392\"] \n  9 -> 10 [size =\"36155392\"]\n  9 -> 11 [size =\"36155392\"]\n  10 [size=\"34412544\", alpha=\"0.17\", expect_size=\"17206272\"] \n  10 -> 12 [size =\"17206272\"]\n  11 [size=\"41754624\", alpha=\"0.01\", expect_size=\"20877312\"] \n  12 [size=\"48316416\", alpha=\"0.10\", expect_size=\"24158208\"] \n  12 -> 13 [size =\"24158208\"]\n  12 -> 14 [size =\"24158208\"]\n  13 [size=\"78569472\", alpha=\"0.09\", expect_size=\"39284736\"] \n  13 -> 15 [size =\"39284736\"]\n  13 -> 16 [size =\"39284736\"]\n  14 [size=\"33718272\", alpha=\"0.09\", expect_size=\"16859136\"] \n  14 -> 15 [size =\"16859136\"]\n  14 -> 16 [size =\"16859136\"]\n  15 [size=\"38019072\", alpha=\"0.10\", expect_size=\"19009536\"] \n  16 [size=\"71989248\", alpha=\"0.10\", expect_size=\"35994624\"] \n  16 -> 17 [size =\"35994624\"]\n  17 [size=\"27985920\", alpha=\"0.08\", expect_size=\"13992960\"] \n  17 -> 18 [size =\"13992960\"]\n  17 -> 19 [size =\"13992960\"]\n  18 [size=\"102254592\", alpha=\"0.13\", expect_size=\"51127296\"] \n  18 -> 20 [size =\"51127296\"]\n  18 -> 21 [size =\"51127296\"]\n  19 [size=\"34979840\", alpha=\"0.05\", expect_size=\"17489920\"] \n  19 -> 21 [size =\"17489920\"]\n  20 [size=\"25548800\", alpha=\"0.03\", expect_size=\"12774400\"] \n  21 [size=\"104583168\", alpha=\"0.11\", expect_size=\"52291584\"] \n  21 -> 22 [size =\"52291584\"]\n  22 [size=\"16664576\", alpha=\"0.06\", expect_size=\"8332288\"] \n  22 -> 23 [size =\"8332288\"]\n  22 -> 24 [size =\"8332288\"]\n  23 [size=\"66142208\", alpha=\"0.08\", expect_size=\"33071104\"] \n  23 -> 25 [size =\"33071104\"]\n  24 [size=\"15986688\", alpha=\"0.14\", expect_size=\"7993344\"] \n  24 -> 25 [size =\"7993344\"]\n  25 [size=\"57368576\", alpha=\"0.05\", expect_size=\"28684288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21729280\", alpha=\"0.01\", expect_size=\"10864640\"] \n  2 [size=\"64014336\", alpha=\"0.02\", expect_size=\"32007168\"] \n  2 -> 3 [size =\"32007168\"]\n  3 [size=\"96133120\", alpha=\"0.12\", expect_size=\"48066560\"] \n  3 -> 4 [size =\"48066560\"]\n  4 [size=\"92280832\", alpha=\"0.19\", expect_size=\"46140416\"] \n  4 -> 5 [size =\"46140416\"]\n  5 [size=\"83918848\", alpha=\"0.04\", expect_size=\"41959424\"] \n  5 -> 6 [size =\"41959424\"]\n  5 -> 7 [size =\"41959424\"]\n  6 [size=\"93698048\", alpha=\"0.20\", expect_size=\"46849024\"] \n  7 [size=\"28864512\", alpha=\"0.19\", expect_size=\"14432256\"] \n  7 -> 8 [size =\"14432256\"]\n  8 [size=\"72656896\", alpha=\"0.02\", expect_size=\"36328448\"] \n  8 -> 9 [size =\"36328448\"]\n  9 [size=\"85583872\", alpha=\"0.16\", expect_size=\"42791936\"] \n  9 -> 10 [size =\"42791936\"]\n  9 -> 11 [size =\"42791936\"]\n  10 [size=\"73891840\", alpha=\"0.05\", expect_size=\"36945920\"] \n  10 -> 12 [size =\"36945920\"]\n  11 [size=\"22630400\", alpha=\"0.03\", expect_size=\"11315200\"] \n  12 [size=\"27590656\", alpha=\"0.17\", expect_size=\"13795328\"] \n  12 -> 13 [size =\"13795328\"]\n  13 [size=\"36255744\", alpha=\"0.17\", expect_size=\"18127872\"] \n  13 -> 14 [size =\"18127872\"]\n  14 [size=\"90636288\", alpha=\"0.12\", expect_size=\"45318144\"] \n  14 -> 15 [size =\"45318144\"]\n  15 [size=\"86599680\", alpha=\"0.17\", expect_size=\"43299840\"] \n  15 -> 16 [size =\"43299840\"]\n  15 -> 17 [size =\"43299840\"]\n  16 [size=\"103497728\", alpha=\"0.09\", expect_size=\"51748864\"] \n  16 -> 18 [size =\"51748864\"]\n  17 [size=\"101203968\", alpha=\"0.10\", expect_size=\"50601984\"] \n  17 -> 19 [size =\"50601984\"]\n  18 [size=\"98203648\", alpha=\"0.14\", expect_size=\"49101824\"] \n  18 -> 21 [size =\"49101824\"]\n  19 [size=\"13629440\", alpha=\"0.17\", expect_size=\"6814720\"] \n  19 -> 20 [size =\"6814720\"]\n  20 [size=\"89815040\", alpha=\"0.17\", expect_size=\"44907520\"] \n  20 -> 22 [size =\"44907520\"]\n  21 [size=\"19013632\", alpha=\"0.19\", expect_size=\"9506816\"] \n  21 -> 23 [size =\"9506816\"]\n  22 [size=\"32634880\", alpha=\"0.13\", expect_size=\"16317440\"] \n  22 -> 24 [size =\"16317440\"]\n  23 [size=\"20533248\", alpha=\"0.04\", expect_size=\"10266624\"] \n  24 [size=\"101335040\", alpha=\"0.13\", expect_size=\"50667520\"] \n  24 -> 25 [size =\"50667520\"]\n  25 [size=\"62429184\", alpha=\"0.18\", expect_size=\"31214592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126755840\", alpha=\"0.06\", expect_size=\"50702336\"] \n  1 -> 2 [size =\"50702336\"]\n  2 [size=\"124083200\", alpha=\"0.11\", expect_size=\"49633280\"] \n  2 -> 3 [size =\"49633280\"]\n  3 [size=\"94845440\", alpha=\"0.15\", expect_size=\"37938176\"] \n  3 -> 4 [size =\"37938176\"]\n  4 [size=\"31070720\", alpha=\"0.00\", expect_size=\"12428288\"] \n  4 -> 5 [size =\"12428288\"]\n  5 [size=\"55088640\", alpha=\"0.12\", expect_size=\"22035456\"] \n  5 -> 6 [size =\"22035456\"]\n  6 [size=\"95971840\", alpha=\"0.01\", expect_size=\"38388736\"] \n  6 -> 7 [size =\"38388736\"]\n  7 [size=\"63848960\", alpha=\"0.09\", expect_size=\"25539584\"] \n  7 -> 8 [size =\"25539584\"]\n  8 [size=\"38809600\", alpha=\"0.09\", expect_size=\"15523840\"] \n  8 -> 9 [size =\"15523840\"]\n  9 [size=\"40990720\", alpha=\"0.03\", expect_size=\"16396288\"] \n  9 -> 10 [size =\"16396288\"]\n  10 [size=\"122524160\", alpha=\"0.10\", expect_size=\"49009664\"] \n  10 -> 11 [size =\"49009664\"]\n  11 [size=\"50014720\", alpha=\"0.10\", expect_size=\"20005888\"] \n  11 -> 12 [size =\"20005888\"]\n  12 [size=\"83046400\", alpha=\"0.13\", expect_size=\"33218560\"] \n  12 -> 13 [size =\"33218560\"]\n  13 [size=\"28410880\", alpha=\"0.16\", expect_size=\"11364352\"] \n  13 -> 14 [size =\"11364352\"]\n  14 [size=\"117002240\", alpha=\"0.03\", expect_size=\"46800896\"] \n  14 -> 15 [size =\"46800896\"]\n  15 [size=\"118407680\", alpha=\"0.01\", expect_size=\"47363072\"] \n  15 -> 16 [size =\"47363072\"]\n  16 [size=\"70568960\", alpha=\"0.03\", expect_size=\"28227584\"] \n  16 -> 17 [size =\"28227584\"]\n  17 [size=\"78154240\", alpha=\"0.01\", expect_size=\"31261696\"] \n  17 -> 18 [size =\"31261696\"]\n  18 [size=\"129408000\", alpha=\"0.15\", expect_size=\"51763200\"] \n  18 -> 19 [size =\"51763200\"]\n  19 [size=\"62502400\", alpha=\"0.05\", expect_size=\"25000960\"] \n  19 -> 20 [size =\"25000960\"]\n  20 [size=\"79692800\", alpha=\"0.17\", expect_size=\"31877120\"] \n  20 -> 21 [size =\"31877120\"]\n  21 [size=\"20531200\", alpha=\"0.08\", expect_size=\"8212480\"] \n  21 -> 22 [size =\"8212480\"]\n  22 [size=\"81466880\", alpha=\"0.18\", expect_size=\"32586752\"] \n  22 -> 23 [size =\"32586752\"]\n  23 [size=\"37598720\", alpha=\"0.02\", expect_size=\"15039488\"] \n  23 -> 24 [size =\"15039488\"]\n  24 [size=\"13160960\", alpha=\"0.09\", expect_size=\"5264384\"] \n  24 -> 25 [size =\"5264384\"]\n  25 [size=\"28300800\", alpha=\"0.04\", expect_size=\"11320320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14968320\", alpha=\"0.07\", expect_size=\"5987328\"] \n  1 -> 19 [size =\"5987328\"]\n  1 -> 22 [size =\"5987328\"]\n  1 -> 23 [size =\"5987328\"]\n  2 [size=\"71037440\", alpha=\"0.02\", expect_size=\"28414976\"] \n  2 -> 19 [size =\"28414976\"]\n  2 -> 25 [size =\"28414976\"]\n  3 [size=\"71088640\", alpha=\"0.11\", expect_size=\"28435456\"] \n  3 -> 24 [size =\"28435456\"]\n  4 [size=\"124938240\", alpha=\"0.11\", expect_size=\"49975296\"] \n  4 -> 22 [size =\"49975296\"]\n  4 -> 23 [size =\"49975296\"]\n  5 [size=\"65671680\", alpha=\"0.13\", expect_size=\"26268672\"] \n  5 -> 19 [size =\"26268672\"]\n  5 -> 22 [size =\"26268672\"]\n  5 -> 25 [size =\"26268672\"]\n  6 [size=\"73077760\", alpha=\"0.14\", expect_size=\"29231104\"] \n  6 -> 20 [size =\"29231104\"]\n  6 -> 22 [size =\"29231104\"]\n  6 -> 25 [size =\"29231104\"]\n  7 [size=\"56345600\", alpha=\"0.03\", expect_size=\"22538240\"] \n  7 -> 17 [size =\"22538240\"]\n  8 [size=\"37306880\", alpha=\"0.10\", expect_size=\"14922752\"] \n  8 -> 25 [size =\"14922752\"]\n  9 [size=\"25451520\", alpha=\"0.14\", expect_size=\"10180608\"] \n  9 -> 23 [size =\"10180608\"]\n  10 [size=\"60738560\", alpha=\"0.01\", expect_size=\"24295424\"] \n  10 -> 21 [size =\"24295424\"]\n  10 -> 23 [size =\"24295424\"]\n  10 -> 24 [size =\"24295424\"]\n  11 [size=\"115824640\", alpha=\"0.06\", expect_size=\"46329856\"] \n  11 -> 24 [size =\"46329856\"]\n  11 -> 25 [size =\"46329856\"]\n  12 [size=\"40166400\", alpha=\"0.06\", expect_size=\"16066560\"] \n  12 -> 18 [size =\"16066560\"]\n  12 -> 23 [size =\"16066560\"]\n  12 -> 25 [size =\"16066560\"]\n  13 [size=\"53227520\", alpha=\"0.07\", expect_size=\"21291008\"] \n  13 -> 18 [size =\"21291008\"]\n  13 -> 23 [size =\"21291008\"]\n  13 -> 25 [size =\"21291008\"]\n  14 [size=\"116162560\", alpha=\"0.14\", expect_size=\"46465024\"] \n  14 -> 22 [size =\"46465024\"]\n  14 -> 23 [size =\"46465024\"]\n  15 [size=\"61655040\", alpha=\"0.04\", expect_size=\"24662016\"] \n  15 -> 18 [size =\"24662016\"]\n  15 -> 22 [size =\"24662016\"]\n  15 -> 24 [size =\"24662016\"]\n  15 -> 25 [size =\"24662016\"]\n  16 [size=\"22917120\", alpha=\"0.07\", expect_size=\"9166848\"] \n  16 -> 22 [size =\"9166848\"]\n  16 -> 22 [size =\"9166848\"]\n  17 [size=\"107875840\", alpha=\"0.00\", expect_size=\"43150336\"] \n  18 [size=\"122905600\", alpha=\"0.05\", expect_size=\"49162240\"] \n  19 [size=\"63477760\", alpha=\"0.00\", expect_size=\"25391104\"] \n  20 [size=\"28712960\", alpha=\"0.06\", expect_size=\"11485184\"] \n  21 [size=\"36224000\", alpha=\"0.12\", expect_size=\"14489600\"] \n  22 [size=\"72186880\", alpha=\"0.08\", expect_size=\"28874752\"] \n  23 [size=\"110371840\", alpha=\"0.13\", expect_size=\"44148736\"] \n  24 [size=\"32663040\", alpha=\"0.18\", expect_size=\"13065216\"] \n  25 [size=\"117201920\", alpha=\"0.11\", expect_size=\"46880768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61135360\", alpha=\"0.03\", expect_size=\"24454144\"] \n  1 -> 2 [size =\"24454144\"]\n  2 [size=\"84899840\", alpha=\"0.15\", expect_size=\"33959936\"] \n  2 -> 3 [size =\"33959936\"]\n  3 [size=\"21921280\", alpha=\"0.01\", expect_size=\"8768512\"] \n  3 -> 4 [size =\"8768512\"]\n  4 [size=\"33277440\", alpha=\"0.15\", expect_size=\"13310976\"] \n  4 -> 5 [size =\"13310976\"]\n  5 [size=\"24040960\", alpha=\"0.19\", expect_size=\"9616384\"] \n  5 -> 6 [size =\"9616384\"]\n  6 [size=\"84339200\", alpha=\"0.05\", expect_size=\"33735680\"] \n  6 -> 7 [size =\"33735680\"]\n  7 [size=\"87242240\", alpha=\"0.12\", expect_size=\"34896896\"] \n  7 -> 8 [size =\"34896896\"]\n  8 [size=\"51860480\", alpha=\"0.12\", expect_size=\"20744192\"] \n  8 -> 9 [size =\"20744192\"]\n  9 [size=\"98636800\", alpha=\"0.09\", expect_size=\"39454720\"] \n  9 -> 10 [size =\"39454720\"]\n  10 [size=\"14812160\", alpha=\"0.10\", expect_size=\"5924864\"] \n  10 -> 11 [size =\"5924864\"]\n  11 [size=\"53980160\", alpha=\"0.09\", expect_size=\"21592064\"] \n  11 -> 12 [size =\"21592064\"]\n  12 [size=\"72337920\", alpha=\"0.13\", expect_size=\"28935168\"] \n  12 -> 13 [size =\"28935168\"]\n  13 [size=\"42836480\", alpha=\"0.15\", expect_size=\"17134592\"] \n  13 -> 14 [size =\"17134592\"]\n  14 [size=\"50490880\", alpha=\"0.07\", expect_size=\"20196352\"] \n  14 -> 15 [size =\"20196352\"]\n  15 [size=\"22405120\", alpha=\"0.03\", expect_size=\"8962048\"] \n  15 -> 16 [size =\"8962048\"]\n  16 [size=\"16360960\", alpha=\"0.12\", expect_size=\"6544384\"] \n  16 -> 17 [size =\"6544384\"]\n  17 [size=\"43985920\", alpha=\"0.10\", expect_size=\"17594368\"] \n  17 -> 18 [size =\"17594368\"]\n  18 [size=\"112125440\", alpha=\"0.11\", expect_size=\"44850176\"] \n  18 -> 19 [size =\"44850176\"]\n  19 [size=\"64058880\", alpha=\"0.13\", expect_size=\"25623552\"] \n  19 -> 20 [size =\"25623552\"]\n  20 [size=\"115453440\", alpha=\"0.06\", expect_size=\"46181376\"] \n  20 -> 21 [size =\"46181376\"]\n  21 [size=\"58037760\", alpha=\"0.07\", expect_size=\"23215104\"] \n  21 -> 22 [size =\"23215104\"]\n  22 [size=\"108776960\", alpha=\"0.00\", expect_size=\"43510784\"] \n  22 -> 23 [size =\"43510784\"]\n  23 [size=\"66849280\", alpha=\"0.15\", expect_size=\"26739712\"] \n  23 -> 24 [size =\"26739712\"]\n  24 [size=\"35422720\", alpha=\"0.13\", expect_size=\"14169088\"] \n  24 -> 25 [size =\"14169088\"]\n  25 [size=\"77424640\", alpha=\"0.13\", expect_size=\"30969856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102510080\", alpha=\"0.13\", expect_size=\"41004032\"] \n  1 -> 4 [size =\"41004032\"]\n  1 -> 5 [size =\"41004032\"]\n  2 [size=\"94144000\", alpha=\"0.16\", expect_size=\"37657600\"] \n  3 [size=\"73031680\", alpha=\"0.12\", expect_size=\"29212672\"] \n  3 -> 6 [size =\"29212672\"]\n  4 [size=\"75059200\", alpha=\"0.05\", expect_size=\"30023680\"] \n  4 -> 7 [size =\"30023680\"]\n  4 -> 9 [size =\"30023680\"]\n  4 -> 10 [size =\"30023680\"]\n  5 [size=\"55319040\", alpha=\"0.08\", expect_size=\"22127616\"] \n  5 -> 8 [size =\"22127616\"]\n  5 -> 9 [size =\"22127616\"]\n  6 [size=\"123471360\", alpha=\"0.16\", expect_size=\"49388544\"] \n  6 -> 7 [size =\"49388544\"]\n  6 -> 8 [size =\"49388544\"]\n  6 -> 10 [size =\"49388544\"]\n  7 [size=\"54440960\", alpha=\"0.01\", expect_size=\"21776384\"] \n  7 -> 11 [size =\"21776384\"]\n  7 -> 13 [size =\"21776384\"]\n  8 [size=\"104578560\", alpha=\"0.19\", expect_size=\"41831424\"] \n  8 -> 12 [size =\"41831424\"]\n  9 [size=\"125742080\", alpha=\"0.18\", expect_size=\"50296832\"] \n  9 -> 11 [size =\"50296832\"]\n  9 -> 14 [size =\"50296832\"]\n  10 [size=\"94161920\", alpha=\"0.10\", expect_size=\"37664768\"] \n  10 -> 11 [size =\"37664768\"]\n  10 -> 12 [size =\"37664768\"]\n  11 [size=\"51540480\", alpha=\"0.16\", expect_size=\"20616192\"] \n  12 [size=\"13135360\", alpha=\"0.18\", expect_size=\"5254144\"] \n  12 -> 15 [size =\"5254144\"]\n  12 -> 16 [size =\"5254144\"]\n  12 -> 18 [size =\"5254144\"]\n  13 [size=\"109857280\", alpha=\"0.14\", expect_size=\"43942912\"] \n  13 -> 15 [size =\"43942912\"]\n  13 -> 16 [size =\"43942912\"]\n  13 -> 17 [size =\"43942912\"]\n  14 [size=\"63912960\", alpha=\"0.15\", expect_size=\"25565184\"] \n  14 -> 16 [size =\"25565184\"]\n  15 [size=\"96053760\", alpha=\"0.05\", expect_size=\"38421504\"] \n  15 -> 20 [size =\"38421504\"]\n  15 -> 21 [size =\"38421504\"]\n  16 [size=\"23534080\", alpha=\"0.11\", expect_size=\"9413632\"] \n  16 -> 19 [size =\"9413632\"]\n  16 -> 21 [size =\"9413632\"]\n  17 [size=\"115077120\", alpha=\"0.17\", expect_size=\"46030848\"] \n  17 -> 22 [size =\"46030848\"]\n  18 [size=\"118417920\", alpha=\"0.03\", expect_size=\"47367168\"] \n  18 -> 21 [size =\"47367168\"]\n  19 [size=\"113681920\", alpha=\"0.14\", expect_size=\"45472768\"] \n  19 -> 23 [size =\"45472768\"]\n  20 [size=\"98997760\", alpha=\"0.02\", expect_size=\"39599104\"] \n  21 [size=\"41044480\", alpha=\"0.05\", expect_size=\"16417792\"] \n  21 -> 23 [size =\"16417792\"]\n  21 -> 24 [size =\"16417792\"]\n  22 [size=\"17441280\", alpha=\"0.03\", expect_size=\"6976512\"] \n  22 -> 23 [size =\"6976512\"]\n  22 -> 25 [size =\"6976512\"]\n  23 [size=\"123760640\", alpha=\"0.10\", expect_size=\"49504256\"] \n  24 [size=\"90565120\", alpha=\"0.08\", expect_size=\"36226048\"] \n  25 [size=\"61176320\", alpha=\"0.13\", expect_size=\"24470528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52897280\", alpha=\"0.19\", expect_size=\"21158912\"] \n  1 -> 2 [size =\"21158912\"]\n  2 [size=\"130385920\", alpha=\"0.05\", expect_size=\"52154368\"] \n  2 -> 3 [size =\"52154368\"]\n  3 [size=\"59909120\", alpha=\"0.05\", expect_size=\"23963648\"] \n  3 -> 4 [size =\"23963648\"]\n  4 [size=\"104760320\", alpha=\"0.07\", expect_size=\"41904128\"] \n  4 -> 5 [size =\"41904128\"]\n  5 [size=\"89428480\", alpha=\"0.05\", expect_size=\"35771392\"] \n  5 -> 6 [size =\"35771392\"]\n  6 [size=\"13342720\", alpha=\"0.04\", expect_size=\"5337088\"] \n  6 -> 7 [size =\"5337088\"]\n  7 [size=\"29393920\", alpha=\"0.10\", expect_size=\"11757568\"] \n  7 -> 8 [size =\"11757568\"]\n  8 [size=\"34839040\", alpha=\"0.02\", expect_size=\"13935616\"] \n  8 -> 9 [size =\"13935616\"]\n  9 [size=\"55923200\", alpha=\"0.05\", expect_size=\"22369280\"] \n  9 -> 10 [size =\"22369280\"]\n  10 [size=\"116992000\", alpha=\"0.06\", expect_size=\"46796800\"] \n  10 -> 11 [size =\"46796800\"]\n  11 [size=\"89175040\", alpha=\"0.02\", expect_size=\"35670016\"] \n  11 -> 12 [size =\"35670016\"]\n  12 [size=\"83778560\", alpha=\"0.12\", expect_size=\"33511424\"] \n  12 -> 13 [size =\"33511424\"]\n  13 [size=\"111380480\", alpha=\"0.12\", expect_size=\"44552192\"] \n  13 -> 14 [size =\"44552192\"]\n  14 [size=\"24483840\", alpha=\"0.08\", expect_size=\"9793536\"] \n  14 -> 15 [size =\"9793536\"]\n  15 [size=\"65574400\", alpha=\"0.11\", expect_size=\"26229760\"] \n  15 -> 16 [size =\"26229760\"]\n  16 [size=\"96552960\", alpha=\"0.18\", expect_size=\"38621184\"] \n  16 -> 17 [size =\"38621184\"]\n  17 [size=\"120401920\", alpha=\"0.08\", expect_size=\"48160768\"] \n  17 -> 18 [size =\"48160768\"]\n  18 [size=\"63761920\", alpha=\"0.16\", expect_size=\"25504768\"] \n  18 -> 19 [size =\"25504768\"]\n  19 [size=\"75686400\", alpha=\"0.08\", expect_size=\"30274560\"] \n  19 -> 20 [size =\"30274560\"]\n  20 [size=\"104550400\", alpha=\"0.17\", expect_size=\"41820160\"] \n  20 -> 21 [size =\"41820160\"]\n  21 [size=\"24312320\", alpha=\"0.13\", expect_size=\"9724928\"] \n  21 -> 22 [size =\"9724928\"]\n  22 [size=\"35059200\", alpha=\"0.09\", expect_size=\"14023680\"] \n  22 -> 23 [size =\"14023680\"]\n  23 [size=\"103377920\", alpha=\"0.13\", expect_size=\"41351168\"] \n  23 -> 24 [size =\"41351168\"]\n  24 [size=\"55874560\", alpha=\"0.13\", expect_size=\"22349824\"] \n  24 -> 25 [size =\"22349824\"]\n  25 [size=\"101744640\", alpha=\"0.05\", expect_size=\"40697856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103045120\", alpha=\"0.01\", expect_size=\"41218048\"] \n  1 -> 3 [size =\"41218048\"]\n  2 [size=\"15219200\", alpha=\"0.12\", expect_size=\"6087680\"] \n  2 -> 3 [size =\"6087680\"]\n  3 [size=\"102970880\", alpha=\"0.14\", expect_size=\"41188352\"] \n  3 -> 4 [size =\"41188352\"]\n  4 [size=\"105733120\", alpha=\"0.07\", expect_size=\"42293248\"] \n  4 -> 5 [size =\"42293248\"]\n  5 [size=\"32716800\", alpha=\"0.09\", expect_size=\"13086720\"] \n  5 -> 6 [size =\"13086720\"]\n  6 [size=\"105441280\", alpha=\"0.12\", expect_size=\"42176512\"] \n  6 -> 7 [size =\"42176512\"]\n  6 -> 8 [size =\"42176512\"]\n  7 [size=\"107450880\", alpha=\"0.02\", expect_size=\"42980352\"] \n  7 -> 9 [size =\"42980352\"]\n  7 -> 10 [size =\"42980352\"]\n  8 [size=\"58844160\", alpha=\"0.12\", expect_size=\"23537664\"] \n  8 -> 9 [size =\"23537664\"]\n  9 [size=\"120112640\", alpha=\"0.18\", expect_size=\"48045056\"] \n  10 [size=\"112176640\", alpha=\"0.04\", expect_size=\"44870656\"] \n  10 -> 11 [size =\"44870656\"]\n  11 [size=\"107256320\", alpha=\"0.06\", expect_size=\"42902528\"] \n  11 -> 12 [size =\"42902528\"]\n  11 -> 13 [size =\"42902528\"]\n  12 [size=\"113945600\", alpha=\"0.01\", expect_size=\"45578240\"] \n  12 -> 14 [size =\"45578240\"]\n  12 -> 15 [size =\"45578240\"]\n  13 [size=\"68661760\", alpha=\"0.07\", expect_size=\"27464704\"] \n  13 -> 14 [size =\"27464704\"]\n  13 -> 15 [size =\"27464704\"]\n  14 [size=\"34624000\", alpha=\"0.01\", expect_size=\"13849600\"] \n  14 -> 16 [size =\"13849600\"]\n  15 [size=\"73681920\", alpha=\"0.13\", expect_size=\"29472768\"] \n  15 -> 16 [size =\"29472768\"]\n  15 -> 17 [size =\"29472768\"]\n  16 [size=\"126673920\", alpha=\"0.12\", expect_size=\"50669568\"] \n  16 -> 18 [size =\"50669568\"]\n  17 [size=\"77214720\", alpha=\"0.14\", expect_size=\"30885888\"] \n  17 -> 18 [size =\"30885888\"]\n  18 [size=\"89436160\", alpha=\"0.05\", expect_size=\"35774464\"] \n  18 -> 19 [size =\"35774464\"]\n  18 -> 20 [size =\"35774464\"]\n  19 [size=\"45137920\", alpha=\"0.10\", expect_size=\"18055168\"] \n  19 -> 22 [size =\"18055168\"]\n  20 [size=\"31306240\", alpha=\"0.10\", expect_size=\"12522496\"] \n  20 -> 21 [size =\"12522496\"]\n  20 -> 22 [size =\"12522496\"]\n  21 [size=\"52267520\", alpha=\"0.05\", expect_size=\"20907008\"] \n  21 -> 23 [size =\"20907008\"]\n  22 [size=\"85355520\", alpha=\"0.01\", expect_size=\"34142208\"] \n  22 -> 23 [size =\"34142208\"]\n  23 [size=\"92505600\", alpha=\"0.12\", expect_size=\"37002240\"] \n  23 -> 24 [size =\"37002240\"]\n  23 -> 25 [size =\"37002240\"]\n  24 [size=\"17996800\", alpha=\"0.18\", expect_size=\"7198720\"] \n  25 [size=\"23649280\", alpha=\"0.08\", expect_size=\"9459712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132843520\", alpha=\"0.10\", expect_size=\"39853056\"] \n  1 -> 22 [size =\"39853056\"]\n  1 -> 23 [size =\"39853056\"]\n  1 -> 24 [size =\"39853056\"]\n  1 -> 25 [size =\"39853056\"]\n  2 [size=\"89910613\", alpha=\"0.11\", expect_size=\"26973184\"] \n  2 -> 22 [size =\"26973184\"]\n  2 -> 24 [size =\"26973184\"]\n  2 -> 25 [size =\"26973184\"]\n  3 [size=\"37468160\", alpha=\"0.15\", expect_size=\"11240448\"] \n  3 -> 22 [size =\"11240448\"]\n  4 [size=\"29491200\", alpha=\"0.16\", expect_size=\"8847360\"] \n  4 -> 25 [size =\"8847360\"]\n  5 [size=\"60166827\", alpha=\"0.12\", expect_size=\"18050048\"] \n  5 -> 24 [size =\"18050048\"]\n  5 -> 25 [size =\"18050048\"]\n  6 [size=\"36887893\", alpha=\"0.07\", expect_size=\"11066368\"] \n  6 -> 24 [size =\"11066368\"]\n  6 -> 25 [size =\"11066368\"]\n  7 [size=\"82841600\", alpha=\"0.03\", expect_size=\"24852480\"] \n  7 -> 22 [size =\"24852480\"]\n  7 -> 23 [size =\"24852480\"]\n  8 [size=\"23637333\", alpha=\"0.05\", expect_size=\"7091200\"] \n  8 -> 23 [size =\"7091200\"]\n  9 [size=\"31074987\", alpha=\"0.07\", expect_size=\"9322496\"] \n  9 -> 25 [size =\"9322496\"]\n  10 [size=\"51360427\", alpha=\"0.04\", expect_size=\"15408128\"] \n  10 -> 23 [size =\"15408128\"]\n  10 -> 25 [size =\"15408128\"]\n  11 [size=\"79319040\", alpha=\"0.07\", expect_size=\"23795712\"] \n  11 -> 25 [size =\"23795712\"]\n  12 [size=\"158590293\", alpha=\"0.13\", expect_size=\"47577088\"] \n  12 -> 23 [size =\"47577088\"]\n  12 -> 25 [size =\"47577088\"]\n  13 [size=\"84961280\", alpha=\"0.17\", expect_size=\"25488384\"] \n  13 -> 25 [size =\"25488384\"]\n  14 [size=\"45387093\", alpha=\"0.01\", expect_size=\"13616128\"] \n  14 -> 24 [size =\"13616128\"]\n  15 [size=\"17732267\", alpha=\"0.19\", expect_size=\"5319680\"] \n  15 -> 23 [size =\"5319680\"]\n  15 -> 24 [size =\"5319680\"]\n  16 [size=\"115483307\", alpha=\"0.07\", expect_size=\"34644992\"] \n  17 [size=\"168471893\", alpha=\"0.12\", expect_size=\"50541568\"] \n  17 -> 25 [size =\"50541568\"]\n  18 [size=\"36676267\", alpha=\"0.05\", expect_size=\"11002880\"] \n  19 [size=\"74052267\", alpha=\"0.09\", expect_size=\"22215680\"] \n  19 -> 22 [size =\"22215680\"]\n  19 -> 23 [size =\"22215680\"]\n  19 -> 24 [size =\"22215680\"]\n  20 [size=\"128170667\", alpha=\"0.13\", expect_size=\"38451200\"] \n  20 -> 23 [size =\"38451200\"]\n  20 -> 25 [size =\"38451200\"]\n  21 [size=\"155852800\", alpha=\"0.11\", expect_size=\"46755840\"] \n  21 -> 24 [size =\"46755840\"]\n  21 -> 25 [size =\"46755840\"]\n  22 [size=\"50708480\", alpha=\"0.18\", expect_size=\"15212544\"] \n  23 [size=\"151272107\", alpha=\"0.08\", expect_size=\"45381632\"] \n  24 [size=\"123801600\", alpha=\"0.19\", expect_size=\"37140480\"] \n  25 [size=\"132799147\", alpha=\"0.16\", expect_size=\"39839744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116200107\", alpha=\"0.07\", expect_size=\"34860032\"] \n  1 -> 5 [size =\"34860032\"]\n  1 -> 6 [size =\"34860032\"]\n  1 -> 7 [size =\"34860032\"]\n  2 [size=\"139202560\", alpha=\"0.11\", expect_size=\"41760768\"] \n  2 -> 6 [size =\"41760768\"]\n  2 -> 7 [size =\"41760768\"]\n  3 [size=\"164580693\", alpha=\"0.16\", expect_size=\"49374208\"] \n  3 -> 6 [size =\"49374208\"]\n  3 -> 7 [size =\"49374208\"]\n  3 -> 8 [size =\"49374208\"]\n  4 [size=\"173714773\", alpha=\"0.17\", expect_size=\"52114432\"] \n  4 -> 5 [size =\"52114432\"]\n  4 -> 6 [size =\"52114432\"]\n  4 -> 7 [size =\"52114432\"]\n  4 -> 8 [size =\"52114432\"]\n  5 [size=\"122927787\", alpha=\"0.07\", expect_size=\"36878336\"] \n  5 -> 10 [size =\"36878336\"]\n  6 [size=\"108533760\", alpha=\"0.13\", expect_size=\"32560128\"] \n  6 -> 10 [size =\"32560128\"]\n  6 -> 11 [size =\"32560128\"]\n  6 -> 12 [size =\"32560128\"]\n  7 [size=\"128996693\", alpha=\"0.12\", expect_size=\"38699008\"] \n  7 -> 9 [size =\"38699008\"]\n  7 -> 10 [size =\"38699008\"]\n  7 -> 11 [size =\"38699008\"]\n  7 -> 12 [size =\"38699008\"]\n  8 [size=\"102987093\", alpha=\"0.08\", expect_size=\"30896128\"] \n  8 -> 10 [size =\"30896128\"]\n  8 -> 11 [size =\"30896128\"]\n  8 -> 12 [size =\"30896128\"]\n  8 -> 12 [size =\"30896128\"]\n  9 [size=\"32303787\", alpha=\"0.05\", expect_size=\"9691136\"] \n  9 -> 13 [size =\"9691136\"]\n  9 -> 14 [size =\"9691136\"]\n  9 -> 15 [size =\"9691136\"]\n  10 [size=\"79179093\", alpha=\"0.13\", expect_size=\"23753728\"] \n  10 -> 13 [size =\"23753728\"]\n  10 -> 14 [size =\"23753728\"]\n  11 [size=\"162938880\", alpha=\"0.08\", expect_size=\"48881664\"] \n  11 -> 13 [size =\"48881664\"]\n  11 -> 14 [size =\"48881664\"]\n  12 [size=\"62040747\", alpha=\"0.06\", expect_size=\"18612224\"] \n  12 -> 13 [size =\"18612224\"]\n  12 -> 14 [size =\"18612224\"]\n  12 -> 15 [size =\"18612224\"]\n  13 [size=\"146711893\", alpha=\"0.02\", expect_size=\"44013568\"] \n  13 -> 16 [size =\"44013568\"]\n  13 -> 18 [size =\"44013568\"]\n  14 [size=\"114804053\", alpha=\"0.15\", expect_size=\"34441216\"] \n  14 -> 16 [size =\"34441216\"]\n  14 -> 17 [size =\"34441216\"]\n  14 -> 18 [size =\"34441216\"]\n  14 -> 19 [size =\"34441216\"]\n  15 [size=\"88057173\", alpha=\"0.16\", expect_size=\"26417152\"] \n  15 -> 16 [size =\"26417152\"]\n  15 -> 17 [size =\"26417152\"]\n  16 [size=\"140516693\", alpha=\"0.02\", expect_size=\"42155008\"] \n  16 -> 22 [size =\"42155008\"]\n  17 [size=\"82387627\", alpha=\"0.03\", expect_size=\"24716288\"] \n  17 -> 20 [size =\"24716288\"]\n  17 -> 21 [size =\"24716288\"]\n  17 -> 22 [size =\"24716288\"]\n  18 [size=\"21643947\", alpha=\"0.20\", expect_size=\"6493184\"] \n  18 -> 20 [size =\"6493184\"]\n  18 -> 21 [size =\"6493184\"]\n  18 -> 22 [size =\"6493184\"]\n  19 [size=\"86797653\", alpha=\"0.07\", expect_size=\"26039296\"] \n  19 -> 20 [size =\"26039296\"]\n  19 -> 21 [size =\"26039296\"]\n  19 -> 22 [size =\"26039296\"]\n  20 [size=\"127150080\", alpha=\"0.12\", expect_size=\"38145024\"] \n  20 -> 23 [size =\"38145024\"]\n  20 -> 24 [size =\"38145024\"]\n  20 -> 25 [size =\"38145024\"]\n  21 [size=\"74171733\", alpha=\"0.10\", expect_size=\"22251520\"] \n  21 -> 23 [size =\"22251520\"]\n  21 -> 24 [size =\"22251520\"]\n  22 [size=\"138158080\", alpha=\"0.03\", expect_size=\"41447424\"] \n  22 -> 23 [size =\"41447424\"]\n  22 -> 24 [size =\"41447424\"]\n  23 [size=\"30235307\", alpha=\"0.15\", expect_size=\"9070592\"] \n  24 [size=\"42338987\", alpha=\"0.06\", expect_size=\"12701696\"] \n  25 [size=\"158617600\", alpha=\"0.11\", expect_size=\"47585280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125276160\", alpha=\"0.10\", expect_size=\"37582848\"] \n  1 -> 2 [size =\"37582848\"]\n  2 [size=\"50647040\", alpha=\"0.10\", expect_size=\"15194112\"] \n  2 -> 3 [size =\"15194112\"]\n  2 -> 4 [size =\"15194112\"]\n  3 [size=\"22302720\", alpha=\"0.03\", expect_size=\"6690816\"] \n  4 [size=\"85725867\", alpha=\"0.04\", expect_size=\"25717760\"] \n  4 -> 5 [size =\"25717760\"]\n  5 [size=\"93091840\", alpha=\"0.10\", expect_size=\"27927552\"] \n  5 -> 6 [size =\"27927552\"]\n  5 -> 7 [size =\"27927552\"]\n  6 [size=\"145288533\", alpha=\"0.19\", expect_size=\"43586560\"] \n  6 -> 9 [size =\"43586560\"]\n  7 [size=\"104744960\", alpha=\"0.04\", expect_size=\"31423488\"] \n  7 -> 8 [size =\"31423488\"]\n  7 -> 9 [size =\"31423488\"]\n  8 [size=\"138475520\", alpha=\"0.04\", expect_size=\"41542656\"] \n  8 -> 10 [size =\"41542656\"]\n  9 [size=\"105304747\", alpha=\"0.01\", expect_size=\"31591424\"] \n  10 [size=\"110745600\", alpha=\"0.05\", expect_size=\"33223680\"] \n  10 -> 11 [size =\"33223680\"]\n  11 [size=\"87435947\", alpha=\"0.19\", expect_size=\"26230784\"] \n  11 -> 12 [size =\"26230784\"]\n  11 -> 13 [size =\"26230784\"]\n  12 [size=\"164321280\", alpha=\"0.08\", expect_size=\"49296384\"] \n  13 [size=\"82322773\", alpha=\"0.20\", expect_size=\"24696832\"] \n  13 -> 14 [size =\"24696832\"]\n  14 [size=\"107663360\", alpha=\"0.10\", expect_size=\"32299008\"] \n  14 -> 15 [size =\"32299008\"]\n  14 -> 16 [size =\"32299008\"]\n  15 [size=\"142499840\", alpha=\"0.03\", expect_size=\"42749952\"] \n  15 -> 17 [size =\"42749952\"]\n  16 [size=\"61972480\", alpha=\"0.15\", expect_size=\"18591744\"] \n  16 -> 18 [size =\"18591744\"]\n  17 [size=\"50220373\", alpha=\"0.03\", expect_size=\"15066112\"] \n  17 -> 19 [size =\"15066112\"]\n  17 -> 20 [size =\"15066112\"]\n  18 [size=\"78339413\", alpha=\"0.09\", expect_size=\"23501824\"] \n  18 -> 19 [size =\"23501824\"]\n  19 [size=\"110639787\", alpha=\"0.09\", expect_size=\"33191936\"] \n  20 [size=\"117684907\", alpha=\"0.14\", expect_size=\"35305472\"] \n  20 -> 21 [size =\"35305472\"]\n  21 [size=\"158477653\", alpha=\"0.13\", expect_size=\"47543296\"] \n  21 -> 22 [size =\"47543296\"]\n  22 [size=\"154320213\", alpha=\"0.16\", expect_size=\"46296064\"] \n  22 -> 23 [size =\"46296064\"]\n  23 [size=\"61975893\", alpha=\"0.20\", expect_size=\"18592768\"] \n  23 -> 24 [size =\"18592768\"]\n  23 -> 25 [size =\"18592768\"]\n  24 [size=\"61842773\", alpha=\"0.12\", expect_size=\"18552832\"] \n  25 [size=\"140427947\", alpha=\"0.14\", expect_size=\"42128384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15140864\", alpha=\"0.02\", expect_size=\"7570432\"] \n  2 [size=\"84604928\", alpha=\"0.06\", expect_size=\"42302464\"] \n  3 [size=\"101079040\", alpha=\"0.06\", expect_size=\"50539520\"] \n  4 [size=\"62171136\", alpha=\"0.13\", expect_size=\"31085568\"] \n  4 -> 24 [size =\"31085568\"]\n  5 [size=\"31338496\", alpha=\"0.04\", expect_size=\"15669248\"] \n  5 -> 24 [size =\"15669248\"]\n  6 [size=\"77389824\", alpha=\"0.06\", expect_size=\"38694912\"] \n  7 [size=\"43483136\", alpha=\"0.08\", expect_size=\"21741568\"] \n  8 [size=\"35567616\", alpha=\"0.12\", expect_size=\"17783808\"] \n  9 [size=\"43036672\", alpha=\"0.18\", expect_size=\"21518336\"] \n  9 -> 25 [size =\"21518336\"]\n  10 [size=\"66947072\", alpha=\"0.18\", expect_size=\"33473536\"] \n  11 [size=\"34496512\", alpha=\"0.09\", expect_size=\"17248256\"] \n  12 [size=\"44699648\", alpha=\"0.19\", expect_size=\"22349824\"] \n  13 [size=\"73197568\", alpha=\"0.03\", expect_size=\"36598784\"] \n  14 [size=\"101996544\", alpha=\"0.15\", expect_size=\"50998272\"] \n  14 -> 24 [size =\"50998272\"]\n  15 [size=\"67536896\", alpha=\"0.18\", expect_size=\"33768448\"] \n  16 [size=\"87474176\", alpha=\"0.10\", expect_size=\"43737088\"] \n  17 [size=\"22192128\", alpha=\"0.11\", expect_size=\"11096064\"] \n  17 -> 24 [size =\"11096064\"]\n  18 [size=\"58001408\", alpha=\"0.02\", expect_size=\"29000704\"] \n  19 [size=\"21592064\", alpha=\"0.09\", expect_size=\"10796032\"] \n  20 [size=\"12175360\", alpha=\"0.07\", expect_size=\"6087680\"] \n  21 [size=\"95461376\", alpha=\"0.05\", expect_size=\"47730688\"] \n  21 -> 24 [size =\"47730688\"]\n  22 [size=\"44388352\", alpha=\"0.19\", expect_size=\"22194176\"] \n  23 [size=\"38060032\", alpha=\"0.12\", expect_size=\"19030016\"] \n  23 -> 24 [size =\"19030016\"]\n  24 [size=\"50059264\", alpha=\"0.16\", expect_size=\"25029632\"] \n  25 [size=\"28084224\", alpha=\"0.05\", expect_size=\"14042112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31631360\", alpha=\"0.20\", expect_size=\"12652544\"] \n  1 -> 23 [size =\"12652544\"]\n  1 -> 25 [size =\"12652544\"]\n  2 [size=\"40217600\", alpha=\"0.18\", expect_size=\"16087040\"] \n  2 -> 24 [size =\"16087040\"]\n  3 [size=\"80839680\", alpha=\"0.07\", expect_size=\"32335872\"] \n  3 -> 23 [size =\"32335872\"]\n  4 [size=\"116354560\", alpha=\"0.15\", expect_size=\"46541824\"] \n  4 -> 25 [size =\"46541824\"]\n  5 [size=\"96691200\", alpha=\"0.02\", expect_size=\"38676480\"] \n  5 -> 21 [size =\"38676480\"]\n  5 -> 24 [size =\"38676480\"]\n  5 -> 25 [size =\"38676480\"]\n  6 [size=\"41722880\", alpha=\"0.03\", expect_size=\"16689152\"] \n  6 -> 23 [size =\"16689152\"]\n  7 [size=\"13153280\", alpha=\"0.16\", expect_size=\"5261312\"] \n  7 -> 23 [size =\"5261312\"]\n  8 [size=\"14891520\", alpha=\"0.12\", expect_size=\"5956608\"] \n  8 -> 23 [size =\"5956608\"]\n  8 -> 24 [size =\"5956608\"]\n  9 [size=\"104281600\", alpha=\"0.12\", expect_size=\"41712640\"] \n  9 -> 21 [size =\"41712640\"]\n  9 -> 23 [size =\"41712640\"]\n  10 [size=\"40949760\", alpha=\"0.06\", expect_size=\"16379904\"] \n  10 -> 23 [size =\"16379904\"]\n  10 -> 24 [size =\"16379904\"]\n  10 -> 25 [size =\"16379904\"]\n  11 [size=\"98076160\", alpha=\"0.10\", expect_size=\"39230464\"] \n  11 -> 25 [size =\"39230464\"]\n  12 [size=\"95554560\", alpha=\"0.14\", expect_size=\"38221824\"] \n  12 -> 23 [size =\"38221824\"]\n  13 [size=\"83176960\", alpha=\"0.02\", expect_size=\"33270784\"] \n  13 -> 24 [size =\"33270784\"]\n  14 [size=\"121850880\", alpha=\"0.01\", expect_size=\"48740352\"] \n  14 -> 23 [size =\"48740352\"]\n  14 -> 24 [size =\"48740352\"]\n  14 -> 25 [size =\"48740352\"]\n  15 [size=\"91537920\", alpha=\"0.12\", expect_size=\"36615168\"] \n  15 -> 21 [size =\"36615168\"]\n  15 -> 23 [size =\"36615168\"]\n  15 -> 24 [size =\"36615168\"]\n  16 [size=\"101002240\", alpha=\"0.02\", expect_size=\"40400896\"] \n  16 -> 23 [size =\"40400896\"]\n  16 -> 24 [size =\"40400896\"]\n  17 [size=\"117406720\", alpha=\"0.05\", expect_size=\"46962688\"] \n  17 -> 21 [size =\"46962688\"]\n  18 [size=\"93091840\", alpha=\"0.05\", expect_size=\"37236736\"] \n  18 -> 23 [size =\"37236736\"]\n  19 [size=\"43975680\", alpha=\"0.01\", expect_size=\"17590272\"] \n  20 [size=\"114580480\", alpha=\"0.03\", expect_size=\"45832192\"] \n  20 -> 22 [size =\"45832192\"]\n  20 -> 25 [size =\"45832192\"]\n  21 [size=\"32056320\", alpha=\"0.09\", expect_size=\"12822528\"] \n  22 [size=\"93442560\", alpha=\"0.19\", expect_size=\"37377024\"] \n  23 [size=\"60482560\", alpha=\"0.00\", expect_size=\"24193024\"] \n  24 [size=\"70983680\", alpha=\"0.19\", expect_size=\"28393472\"] \n  25 [size=\"75389440\", alpha=\"0.12\", expect_size=\"30155776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44279808\", alpha=\"0.13\", expect_size=\"22139904\"] \n  1 -> 9 [size =\"22139904\"]\n  1 -> 10 [size =\"22139904\"]\n  1 -> 11 [size =\"22139904\"]\n  1 -> 12 [size =\"22139904\"]\n  1 -> 13 [size =\"22139904\"]\n  1 -> 14 [size =\"22139904\"]\n  1 -> 16 [size =\"22139904\"]\n  2 [size=\"50100224\", alpha=\"0.14\", expect_size=\"25050112\"] \n  2 -> 9 [size =\"25050112\"]\n  2 -> 14 [size =\"25050112\"]\n  3 [size=\"60954624\", alpha=\"0.14\", expect_size=\"30477312\"] \n  3 -> 9 [size =\"30477312\"]\n  3 -> 10 [size =\"30477312\"]\n  3 -> 11 [size =\"30477312\"]\n  3 -> 18 [size =\"30477312\"]\n  4 [size=\"81027072\", alpha=\"0.14\", expect_size=\"40513536\"] \n  4 -> 9 [size =\"40513536\"]\n  4 -> 10 [size =\"40513536\"]\n  4 -> 14 [size =\"40513536\"]\n  4 -> 15 [size =\"40513536\"]\n  5 [size=\"102268928\", alpha=\"0.15\", expect_size=\"51134464\"] \n  5 -> 9 [size =\"51134464\"]\n  5 -> 11 [size =\"51134464\"]\n  5 -> 13 [size =\"51134464\"]\n  5 -> 16 [size =\"51134464\"]\n  5 -> 17 [size =\"51134464\"]\n  6 [size=\"92964864\", alpha=\"0.03\", expect_size=\"46482432\"] \n  6 -> 9 [size =\"46482432\"]\n  6 -> 13 [size =\"46482432\"]\n  6 -> 14 [size =\"46482432\"]\n  6 -> 18 [size =\"46482432\"]\n  7 [size=\"35524608\", alpha=\"0.15\", expect_size=\"17762304\"] \n  7 -> 10 [size =\"17762304\"]\n  7 -> 14 [size =\"17762304\"]\n  7 -> 16 [size =\"17762304\"]\n  8 [size=\"54333440\", alpha=\"0.14\", expect_size=\"27166720\"] \n  8 -> 10 [size =\"27166720\"]\n  8 -> 13 [size =\"27166720\"]\n  8 -> 16 [size =\"27166720\"]\n  9 [size=\"74129408\", alpha=\"0.17\", expect_size=\"37064704\"] \n  9 -> 21 [size =\"37064704\"]\n  9 -> 24 [size =\"37064704\"]\n  9 -> 25 [size =\"37064704\"]\n  10 [size=\"42358784\", alpha=\"0.13\", expect_size=\"21179392\"] \n  10 -> 21 [size =\"21179392\"]\n  10 -> 23 [size =\"21179392\"]\n  10 -> 24 [size =\"21179392\"]\n  11 [size=\"67047424\", alpha=\"0.00\", expect_size=\"33523712\"] \n  11 -> 19 [size =\"33523712\"]\n  11 -> 23 [size =\"33523712\"]\n  12 [size=\"35979264\", alpha=\"0.10\", expect_size=\"17989632\"] \n  12 -> 19 [size =\"17989632\"]\n  12 -> 23 [size =\"17989632\"]\n  13 [size=\"100583424\", alpha=\"0.07\", expect_size=\"50291712\"] \n  13 -> 19 [size =\"50291712\"]\n  13 -> 23 [size =\"50291712\"]\n  13 -> 24 [size =\"50291712\"]\n  14 [size=\"72132608\", alpha=\"0.14\", expect_size=\"36066304\"] \n  14 -> 19 [size =\"36066304\"]\n  14 -> 22 [size =\"36066304\"]\n  14 -> 23 [size =\"36066304\"]\n  15 [size=\"43012096\", alpha=\"0.03\", expect_size=\"21506048\"] \n  15 -> 19 [size =\"21506048\"]\n  15 -> 21 [size =\"21506048\"]\n  15 -> 23 [size =\"21506048\"]\n  15 -> 24 [size =\"21506048\"]\n  16 [size=\"21395456\", alpha=\"0.12\", expect_size=\"10697728\"] \n  16 -> 19 [size =\"10697728\"]\n  16 -> 23 [size =\"10697728\"]\n  16 -> 23 [size =\"10697728\"]\n  16 -> 24 [size =\"10697728\"]\n  17 [size=\"35092480\", alpha=\"0.06\", expect_size=\"17546240\"] \n  17 -> 19 [size =\"17546240\"]\n  17 -> 20 [size =\"17546240\"]\n  17 -> 21 [size =\"17546240\"]\n  18 [size=\"12218368\", alpha=\"0.07\", expect_size=\"6109184\"] \n  18 -> 19 [size =\"6109184\"]\n  18 -> 21 [size =\"6109184\"]\n  19 [size=\"77606912\", alpha=\"0.02\", expect_size=\"38803456\"] \n  20 [size=\"64802816\", alpha=\"0.06\", expect_size=\"32401408\"] \n  21 [size=\"34117632\", alpha=\"0.17\", expect_size=\"17058816\"] \n  22 [size=\"36149248\", alpha=\"0.17\", expect_size=\"18074624\"] \n  23 [size=\"83945472\", alpha=\"0.07\", expect_size=\"41972736\"] \n  24 [size=\"22867968\", alpha=\"0.12\", expect_size=\"11433984\"] \n  25 [size=\"88793088\", alpha=\"0.17\", expect_size=\"44396544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27865600\", alpha=\"0.15\", expect_size=\"11146240\"] \n  1 -> 20 [size =\"11146240\"]\n  1 -> 22 [size =\"11146240\"]\n  1 -> 23 [size =\"11146240\"]\n  1 -> 25 [size =\"11146240\"]\n  2 [size=\"64724480\", alpha=\"0.14\", expect_size=\"25889792\"] \n  2 -> 20 [size =\"25889792\"]\n  2 -> 23 [size =\"25889792\"]\n  2 -> 23 [size =\"25889792\"]\n  2 -> 25 [size =\"25889792\"]\n  3 [size=\"25884160\", alpha=\"0.11\", expect_size=\"10353664\"] \n  3 -> 20 [size =\"10353664\"]\n  3 -> 23 [size =\"10353664\"]\n  3 -> 24 [size =\"10353664\"]\n  3 -> 25 [size =\"10353664\"]\n  4 [size=\"104980480\", alpha=\"0.13\", expect_size=\"41992192\"] \n  4 -> 23 [size =\"41992192\"]\n  4 -> 25 [size =\"41992192\"]\n  5 [size=\"123671040\", alpha=\"0.01\", expect_size=\"49468416\"] \n  6 [size=\"18672640\", alpha=\"0.01\", expect_size=\"7469056\"] \n  7 [size=\"15905280\", alpha=\"0.01\", expect_size=\"6362112\"] \n  7 -> 24 [size =\"6362112\"]\n  7 -> 25 [size =\"6362112\"]\n  8 [size=\"126650880\", alpha=\"0.10\", expect_size=\"50660352\"] \n  8 -> 23 [size =\"50660352\"]\n  8 -> 25 [size =\"50660352\"]\n  9 [size=\"18129920\", alpha=\"0.18\", expect_size=\"7251968\"] \n  9 -> 23 [size =\"7251968\"]\n  10 [size=\"19456000\", alpha=\"0.10\", expect_size=\"7782400\"] \n  10 -> 20 [size =\"7782400\"]\n  10 -> 23 [size =\"7782400\"]\n  11 [size=\"54604800\", alpha=\"0.18\", expect_size=\"21841920\"] \n  11 -> 20 [size =\"21841920\"]\n  11 -> 24 [size =\"21841920\"]\n  12 [size=\"23052800\", alpha=\"0.13\", expect_size=\"9221120\"] \n  13 [size=\"106554880\", alpha=\"0.16\", expect_size=\"42621952\"] \n  13 -> 23 [size =\"42621952\"]\n  14 [size=\"54773760\", alpha=\"0.10\", expect_size=\"21909504\"] \n  14 -> 21 [size =\"21909504\"]\n  14 -> 25 [size =\"21909504\"]\n  15 [size=\"13701120\", alpha=\"0.18\", expect_size=\"5480448\"] \n  15 -> 21 [size =\"5480448\"]\n  15 -> 25 [size =\"5480448\"]\n  16 [size=\"19279360\", alpha=\"0.20\", expect_size=\"7711744\"] \n  16 -> 20 [size =\"7711744\"]\n  17 [size=\"26219520\", alpha=\"0.05\", expect_size=\"10487808\"] \n  18 [size=\"32230400\", alpha=\"0.20\", expect_size=\"12892160\"] \n  18 -> 20 [size =\"12892160\"]\n  18 -> 23 [size =\"12892160\"]\n  19 [size=\"88409600\", alpha=\"0.03\", expect_size=\"35363840\"] \n  19 -> 20 [size =\"35363840\"]\n  19 -> 22 [size =\"35363840\"]\n  20 [size=\"78481920\", alpha=\"0.14\", expect_size=\"31392768\"] \n  21 [size=\"18990080\", alpha=\"0.07\", expect_size=\"7596032\"] \n  22 [size=\"123105280\", alpha=\"0.09\", expect_size=\"49242112\"] \n  23 [size=\"79454720\", alpha=\"0.13\", expect_size=\"31781888\"] \n  24 [size=\"58744320\", alpha=\"0.13\", expect_size=\"23497728\"] \n  25 [size=\"119060480\", alpha=\"0.11\", expect_size=\"47624192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10620928\", alpha=\"0.02\", expect_size=\"5310464\"] \n  1 -> 2 [size =\"5310464\"]\n  2 [size=\"102012928\", alpha=\"0.02\", expect_size=\"51006464\"] \n  2 -> 3 [size =\"51006464\"]\n  3 [size=\"67680256\", alpha=\"0.19\", expect_size=\"33840128\"] \n  3 -> 4 [size =\"33840128\"]\n  4 [size=\"67819520\", alpha=\"0.11\", expect_size=\"33909760\"] \n  4 -> 5 [size =\"33909760\"]\n  5 [size=\"34390016\", alpha=\"0.07\", expect_size=\"17195008\"] \n  5 -> 6 [size =\"17195008\"]\n  6 [size=\"54116352\", alpha=\"0.08\", expect_size=\"27058176\"] \n  6 -> 7 [size =\"27058176\"]\n  7 [size=\"12224512\", alpha=\"0.11\", expect_size=\"6112256\"] \n  7 -> 8 [size =\"6112256\"]\n  8 [size=\"97077248\", alpha=\"0.17\", expect_size=\"48538624\"] \n  8 -> 9 [size =\"48538624\"]\n  9 [size=\"75296768\", alpha=\"0.13\", expect_size=\"37648384\"] \n  9 -> 10 [size =\"37648384\"]\n  10 [size=\"17190912\", alpha=\"0.13\", expect_size=\"8595456\"] \n  10 -> 11 [size =\"8595456\"]\n  11 [size=\"11167744\", alpha=\"0.06\", expect_size=\"5583872\"] \n  11 -> 12 [size =\"5583872\"]\n  12 [size=\"18698240\", alpha=\"0.05\", expect_size=\"9349120\"] \n  12 -> 13 [size =\"9349120\"]\n  13 [size=\"26847232\", alpha=\"0.08\", expect_size=\"13423616\"] \n  13 -> 14 [size =\"13423616\"]\n  14 [size=\"22648832\", alpha=\"0.15\", expect_size=\"11324416\"] \n  14 -> 15 [size =\"11324416\"]\n  15 [size=\"76470272\", alpha=\"0.03\", expect_size=\"38235136\"] \n  15 -> 16 [size =\"38235136\"]\n  16 [size=\"16855040\", alpha=\"0.09\", expect_size=\"8427520\"] \n  16 -> 17 [size =\"8427520\"]\n  17 [size=\"53954560\", alpha=\"0.14\", expect_size=\"26977280\"] \n  17 -> 18 [size =\"26977280\"]\n  18 [size=\"13391872\", alpha=\"0.14\", expect_size=\"6695936\"] \n  18 -> 19 [size =\"6695936\"]\n  19 [size=\"95686656\", alpha=\"0.01\", expect_size=\"47843328\"] \n  19 -> 20 [size =\"47843328\"]\n  20 [size=\"63987712\", alpha=\"0.10\", expect_size=\"31993856\"] \n  20 -> 21 [size =\"31993856\"]\n  21 [size=\"32456704\", alpha=\"0.18\", expect_size=\"16228352\"] \n  21 -> 22 [size =\"16228352\"]\n  22 [size=\"58873856\", alpha=\"0.06\", expect_size=\"29436928\"] \n  22 -> 23 [size =\"29436928\"]\n  23 [size=\"84656128\", alpha=\"0.06\", expect_size=\"42328064\"] \n  23 -> 24 [size =\"42328064\"]\n  24 [size=\"28291072\", alpha=\"0.19\", expect_size=\"14145536\"] \n  24 -> 25 [size =\"14145536\"]\n  25 [size=\"98756608\", alpha=\"0.16\", expect_size=\"49378304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23263232\", alpha=\"0.11\", expect_size=\"11631616\"] \n  1 -> 10 [size =\"11631616\"]\n  1 -> 11 [size =\"11631616\"]\n  1 -> 12 [size =\"11631616\"]\n  1 -> 14 [size =\"11631616\"]\n  1 -> 16 [size =\"11631616\"]\n  1 -> 17 [size =\"11631616\"]\n  1 -> 18 [size =\"11631616\"]\n  1 -> 18 [size =\"11631616\"]\n  2 [size=\"44478464\", alpha=\"0.18\", expect_size=\"22239232\"] \n  2 -> 10 [size =\"22239232\"]\n  2 -> 11 [size =\"22239232\"]\n  2 -> 13 [size =\"22239232\"]\n  2 -> 14 [size =\"22239232\"]\n  2 -> 17 [size =\"22239232\"]\n  2 -> 18 [size =\"22239232\"]\n  3 [size=\"45328384\", alpha=\"0.17\", expect_size=\"22664192\"] \n  3 -> 12 [size =\"22664192\"]\n  3 -> 13 [size =\"22664192\"]\n  3 -> 14 [size =\"22664192\"]\n  3 -> 14 [size =\"22664192\"]\n  3 -> 15 [size =\"22664192\"]\n  3 -> 16 [size =\"22664192\"]\n  4 [size=\"43304960\", alpha=\"0.03\", expect_size=\"21652480\"] \n  4 -> 11 [size =\"21652480\"]\n  4 -> 12 [size =\"21652480\"]\n  4 -> 14 [size =\"21652480\"]\n  4 -> 16 [size =\"21652480\"]\n  5 [size=\"39305216\", alpha=\"0.16\", expect_size=\"19652608\"] \n  5 -> 10 [size =\"19652608\"]\n  5 -> 12 [size =\"19652608\"]\n  5 -> 14 [size =\"19652608\"]\n  5 -> 15 [size =\"19652608\"]\n  5 -> 16 [size =\"19652608\"]\n  5 -> 17 [size =\"19652608\"]\n  6 [size=\"70918144\", alpha=\"0.09\", expect_size=\"35459072\"] \n  6 -> 10 [size =\"35459072\"]\n  6 -> 12 [size =\"35459072\"]\n  6 -> 13 [size =\"35459072\"]\n  6 -> 15 [size =\"35459072\"]\n  6 -> 17 [size =\"35459072\"]\n  6 -> 17 [size =\"35459072\"]\n  7 [size=\"55298048\", alpha=\"0.15\", expect_size=\"27649024\"] \n  7 -> 10 [size =\"27649024\"]\n  7 -> 11 [size =\"27649024\"]\n  7 -> 12 [size =\"27649024\"]\n  7 -> 13 [size =\"27649024\"]\n  7 -> 15 [size =\"27649024\"]\n  7 -> 17 [size =\"27649024\"]\n  8 [size=\"93014016\", alpha=\"0.00\", expect_size=\"46507008\"] \n  8 -> 10 [size =\"46507008\"]\n  8 -> 12 [size =\"46507008\"]\n  8 -> 13 [size =\"46507008\"]\n  8 -> 15 [size =\"46507008\"]\n  8 -> 15 [size =\"46507008\"]\n  8 -> 16 [size =\"46507008\"]\n  8 -> 17 [size =\"46507008\"]\n  8 -> 18 [size =\"46507008\"]\n  9 [size=\"52625408\", alpha=\"0.12\", expect_size=\"26312704\"] \n  9 -> 10 [size =\"26312704\"]\n  9 -> 11 [size =\"26312704\"]\n  9 -> 13 [size =\"26312704\"]\n  9 -> 14 [size =\"26312704\"]\n  9 -> 15 [size =\"26312704\"]\n  9 -> 17 [size =\"26312704\"]\n  9 -> 17 [size =\"26312704\"]\n  9 -> 18 [size =\"26312704\"]\n  10 [size=\"85067776\", alpha=\"0.11\", expect_size=\"42533888\"] \n  10 -> 20 [size =\"42533888\"]\n  10 -> 24 [size =\"42533888\"]\n  11 [size=\"35059712\", alpha=\"0.13\", expect_size=\"17529856\"] \n  11 -> 20 [size =\"17529856\"]\n  11 -> 21 [size =\"17529856\"]\n  11 -> 24 [size =\"17529856\"]\n  12 [size=\"87113728\", alpha=\"0.16\", expect_size=\"43556864\"] \n  12 -> 19 [size =\"43556864\"]\n  12 -> 20 [size =\"43556864\"]\n  12 -> 21 [size =\"43556864\"]\n  12 -> 22 [size =\"43556864\"]\n  13 [size=\"78008320\", alpha=\"0.14\", expect_size=\"39004160\"] \n  13 -> 21 [size =\"39004160\"]\n  14 [size=\"63148032\", alpha=\"0.15\", expect_size=\"31574016\"] \n  14 -> 20 [size =\"31574016\"]\n  14 -> 24 [size =\"31574016\"]\n  15 [size=\"77633536\", alpha=\"0.08\", expect_size=\"38816768\"] \n  16 [size=\"60905472\", alpha=\"0.20\", expect_size=\"30452736\"] \n  16 -> 20 [size =\"30452736\"]\n  16 -> 22 [size =\"30452736\"]\n  17 [size=\"101314560\", alpha=\"0.20\", expect_size=\"50657280\"] \n  17 -> 20 [size =\"50657280\"]\n  17 -> 22 [size =\"50657280\"]\n  17 -> 25 [size =\"50657280\"]\n  18 [size=\"76234752\", alpha=\"0.19\", expect_size=\"38117376\"] \n  18 -> 20 [size =\"38117376\"]\n  18 -> 21 [size =\"38117376\"]\n  18 -> 22 [size =\"38117376\"]\n  18 -> 23 [size =\"38117376\"]\n  18 -> 24 [size =\"38117376\"]\n  18 -> 25 [size =\"38117376\"]\n  19 [size=\"78342144\", alpha=\"0.11\", expect_size=\"39171072\"] \n  20 [size=\"41340928\", alpha=\"0.01\", expect_size=\"20670464\"] \n  21 [size=\"94953472\", alpha=\"0.14\", expect_size=\"47476736\"] \n  22 [size=\"61702144\", alpha=\"0.13\", expect_size=\"30851072\"] \n  23 [size=\"43651072\", alpha=\"0.00\", expect_size=\"21825536\"] \n  24 [size=\"14227456\", alpha=\"0.14\", expect_size=\"7113728\"] \n  25 [size=\"83625984\", alpha=\"0.14\", expect_size=\"41812992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21921280\", alpha=\"0.09\", expect_size=\"8768512\"] \n  1 -> 19 [size =\"8768512\"]\n  1 -> 20 [size =\"8768512\"]\n  2 [size=\"130158080\", alpha=\"0.15\", expect_size=\"52063232\"] \n  2 -> 25 [size =\"52063232\"]\n  3 [size=\"73643520\", alpha=\"0.08\", expect_size=\"29457408\"] \n  3 -> 22 [size =\"29457408\"]\n  3 -> 23 [size =\"29457408\"]\n  4 [size=\"32519680\", alpha=\"0.13\", expect_size=\"13007872\"] \n  4 -> 20 [size =\"13007872\"]\n  4 -> 21 [size =\"13007872\"]\n  4 -> 22 [size =\"13007872\"]\n  5 [size=\"87943680\", alpha=\"0.00\", expect_size=\"35177472\"] \n  5 -> 21 [size =\"35177472\"]\n  6 [size=\"113177600\", alpha=\"0.18\", expect_size=\"45271040\"] \n  7 [size=\"80243200\", alpha=\"0.08\", expect_size=\"32097280\"] \n  7 -> 20 [size =\"32097280\"]\n  7 -> 25 [size =\"32097280\"]\n  8 [size=\"127741440\", alpha=\"0.08\", expect_size=\"51096576\"] \n  8 -> 20 [size =\"51096576\"]\n  8 -> 23 [size =\"51096576\"]\n  9 [size=\"64542720\", alpha=\"0.06\", expect_size=\"25817088\"] \n  9 -> 20 [size =\"25817088\"]\n  9 -> 21 [size =\"25817088\"]\n  10 [size=\"40056320\", alpha=\"0.18\", expect_size=\"16022528\"] \n  10 -> 19 [size =\"16022528\"]\n  10 -> 21 [size =\"16022528\"]\n  10 -> 22 [size =\"16022528\"]\n  11 [size=\"14671360\", alpha=\"0.03\", expect_size=\"5868544\"] \n  11 -> 19 [size =\"5868544\"]\n  11 -> 21 [size =\"5868544\"]\n  11 -> 24 [size =\"5868544\"]\n  12 [size=\"67271680\", alpha=\"0.15\", expect_size=\"26908672\"] \n  12 -> 19 [size =\"26908672\"]\n  12 -> 20 [size =\"26908672\"]\n  12 -> 21 [size =\"26908672\"]\n  13 [size=\"37690880\", alpha=\"0.06\", expect_size=\"15076352\"] \n  13 -> 21 [size =\"15076352\"]\n  13 -> 22 [size =\"15076352\"]\n  14 [size=\"84439040\", alpha=\"0.09\", expect_size=\"33775616\"] \n  14 -> 20 [size =\"33775616\"]\n  15 [size=\"42967040\", alpha=\"0.13\", expect_size=\"17186816\"] \n  15 -> 25 [size =\"17186816\"]\n  16 [size=\"45626880\", alpha=\"0.04\", expect_size=\"18250752\"] \n  16 -> 19 [size =\"18250752\"]\n  16 -> 25 [size =\"18250752\"]\n  17 [size=\"36334080\", alpha=\"0.05\", expect_size=\"14533632\"] \n  17 -> 19 [size =\"14533632\"]\n  17 -> 20 [size =\"14533632\"]\n  17 -> 22 [size =\"14533632\"]\n  18 [size=\"83691520\", alpha=\"0.12\", expect_size=\"33476608\"] \n  18 -> 19 [size =\"33476608\"]\n  18 -> 20 [size =\"33476608\"]\n  18 -> 25 [size =\"33476608\"]\n  19 [size=\"130908160\", alpha=\"0.19\", expect_size=\"52363264\"] \n  20 [size=\"50396160\", alpha=\"0.09\", expect_size=\"20158464\"] \n  21 [size=\"36492800\", alpha=\"0.01\", expect_size=\"14597120\"] \n  22 [size=\"55119360\", alpha=\"0.13\", expect_size=\"22047744\"] \n  23 [size=\"24491520\", alpha=\"0.15\", expect_size=\"9796608\"] \n  24 [size=\"57431040\", alpha=\"0.00\", expect_size=\"22972416\"] \n  25 [size=\"108157440\", alpha=\"0.18\", expect_size=\"43262976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46817280\", alpha=\"0.05\", expect_size=\"23408640\"] \n  1 -> 2 [size =\"23408640\"]\n  2 [size=\"13604864\", alpha=\"0.06\", expect_size=\"6802432\"] \n  2 -> 3 [size =\"6802432\"]\n  3 [size=\"40646656\", alpha=\"0.19\", expect_size=\"20323328\"] \n  3 -> 4 [size =\"20323328\"]\n  4 [size=\"80480256\", alpha=\"0.18\", expect_size=\"40240128\"] \n  4 -> 5 [size =\"40240128\"]\n  5 [size=\"62717952\", alpha=\"0.11\", expect_size=\"31358976\"] \n  5 -> 6 [size =\"31358976\"]\n  6 [size=\"83183616\", alpha=\"0.01\", expect_size=\"41591808\"] \n  6 -> 7 [size =\"41591808\"]\n  7 [size=\"32581632\", alpha=\"0.04\", expect_size=\"16290816\"] \n  7 -> 8 [size =\"16290816\"]\n  8 [size=\"94574592\", alpha=\"0.12\", expect_size=\"47287296\"] \n  8 -> 9 [size =\"47287296\"]\n  9 [size=\"87873536\", alpha=\"0.06\", expect_size=\"43936768\"] \n  9 -> 10 [size =\"43936768\"]\n  10 [size=\"13398016\", alpha=\"0.11\", expect_size=\"6699008\"] \n  10 -> 11 [size =\"6699008\"]\n  11 [size=\"43202560\", alpha=\"0.19\", expect_size=\"21601280\"] \n  11 -> 12 [size =\"21601280\"]\n  12 [size=\"67371008\", alpha=\"0.07\", expect_size=\"33685504\"] \n  12 -> 13 [size =\"33685504\"]\n  13 [size=\"94492672\", alpha=\"0.17\", expect_size=\"47246336\"] \n  13 -> 14 [size =\"47246336\"]\n  14 [size=\"92086272\", alpha=\"0.14\", expect_size=\"46043136\"] \n  14 -> 15 [size =\"46043136\"]\n  15 [size=\"84256768\", alpha=\"0.18\", expect_size=\"42128384\"] \n  15 -> 16 [size =\"42128384\"]\n  16 [size=\"41949184\", alpha=\"0.10\", expect_size=\"20974592\"] \n  16 -> 17 [size =\"20974592\"]\n  17 [size=\"46934016\", alpha=\"0.17\", expect_size=\"23467008\"] \n  17 -> 18 [size =\"23467008\"]\n  18 [size=\"64473088\", alpha=\"0.13\", expect_size=\"32236544\"] \n  18 -> 19 [size =\"32236544\"]\n  19 [size=\"24969216\", alpha=\"0.14\", expect_size=\"12484608\"] \n  19 -> 20 [size =\"12484608\"]\n  20 [size=\"54953984\", alpha=\"0.11\", expect_size=\"27476992\"] \n  20 -> 21 [size =\"27476992\"]\n  21 [size=\"13318144\", alpha=\"0.17\", expect_size=\"6659072\"] \n  21 -> 22 [size =\"6659072\"]\n  22 [size=\"102668288\", alpha=\"0.02\", expect_size=\"51334144\"] \n  22 -> 23 [size =\"51334144\"]\n  23 [size=\"40542208\", alpha=\"0.15\", expect_size=\"20271104\"] \n  23 -> 24 [size =\"20271104\"]\n  24 [size=\"26855424\", alpha=\"0.02\", expect_size=\"13427712\"] \n  24 -> 25 [size =\"13427712\"]\n  25 [size=\"92063744\", alpha=\"0.20\", expect_size=\"46031872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134628693\", alpha=\"0.19\", expect_size=\"40388608\"] \n  1 -> 4 [size =\"40388608\"]\n  1 -> 5 [size =\"40388608\"]\n  1 -> 6 [size =\"40388608\"]\n  1 -> 7 [size =\"40388608\"]\n  2 [size=\"68427093\", alpha=\"0.17\", expect_size=\"20528128\"] \n  2 -> 5 [size =\"20528128\"]\n  3 [size=\"35587413\", alpha=\"0.15\", expect_size=\"10676224\"] \n  3 -> 5 [size =\"10676224\"]\n  4 [size=\"83964587\", alpha=\"0.12\", expect_size=\"25189376\"] \n  4 -> 8 [size =\"25189376\"]\n  5 [size=\"77165227\", alpha=\"0.15\", expect_size=\"23149568\"] \n  5 -> 8 [size =\"23149568\"]\n  5 -> 9 [size =\"23149568\"]\n  5 -> 10 [size =\"23149568\"]\n  6 [size=\"93194240\", alpha=\"0.17\", expect_size=\"27958272\"] \n  6 -> 8 [size =\"27958272\"]\n  6 -> 9 [size =\"27958272\"]\n  6 -> 10 [size =\"27958272\"]\n  7 [size=\"144128000\", alpha=\"0.04\", expect_size=\"43238400\"] \n  7 -> 9 [size =\"43238400\"]\n  8 [size=\"20589227\", alpha=\"0.04\", expect_size=\"6176768\"] \n  8 -> 11 [size =\"6176768\"]\n  8 -> 12 [size =\"6176768\"]\n  8 -> 13 [size =\"6176768\"]\n  9 [size=\"169062400\", alpha=\"0.06\", expect_size=\"50718720\"] \n  9 -> 11 [size =\"50718720\"]\n  9 -> 13 [size =\"50718720\"]\n  10 [size=\"120302933\", alpha=\"0.16\", expect_size=\"36090880\"] \n  10 -> 11 [size =\"36090880\"]\n  10 -> 12 [size =\"36090880\"]\n  10 -> 13 [size =\"36090880\"]\n  11 [size=\"32010240\", alpha=\"0.04\", expect_size=\"9603072\"] \n  11 -> 15 [size =\"9603072\"]\n  11 -> 17 [size =\"9603072\"]\n  12 [size=\"23364267\", alpha=\"0.19\", expect_size=\"7009280\"] \n  12 -> 14 [size =\"7009280\"]\n  12 -> 15 [size =\"7009280\"]\n  12 -> 16 [size =\"7009280\"]\n  12 -> 17 [size =\"7009280\"]\n  13 [size=\"159918080\", alpha=\"0.01\", expect_size=\"47975424\"] \n  13 -> 15 [size =\"47975424\"]\n  13 -> 17 [size =\"47975424\"]\n  14 [size=\"122757120\", alpha=\"0.07\", expect_size=\"36827136\"] \n  14 -> 18 [size =\"36827136\"]\n  14 -> 20 [size =\"36827136\"]\n  15 [size=\"57606827\", alpha=\"0.03\", expect_size=\"17282048\"] \n  15 -> 18 [size =\"17282048\"]\n  15 -> 19 [size =\"17282048\"]\n  15 -> 20 [size =\"17282048\"]\n  16 [size=\"172858027\", alpha=\"0.19\", expect_size=\"51857408\"] \n  16 -> 18 [size =\"51857408\"]\n  16 -> 19 [size =\"51857408\"]\n  17 [size=\"147828053\", alpha=\"0.02\", expect_size=\"44348416\"] \n  17 -> 20 [size =\"44348416\"]\n  18 [size=\"24333653\", alpha=\"0.12\", expect_size=\"7300096\"] \n  18 -> 21 [size =\"7300096\"]\n  18 -> 23 [size =\"7300096\"]\n  19 [size=\"58531840\", alpha=\"0.08\", expect_size=\"17559552\"] \n  19 -> 21 [size =\"17559552\"]\n  19 -> 24 [size =\"17559552\"]\n  20 [size=\"102400000\", alpha=\"0.12\", expect_size=\"30720000\"] \n  20 -> 21 [size =\"30720000\"]\n  20 -> 22 [size =\"30720000\"]\n  20 -> 23 [size =\"30720000\"]\n  21 [size=\"72785920\", alpha=\"0.11\", expect_size=\"21835776\"] \n  22 [size=\"103738027\", alpha=\"0.16\", expect_size=\"31121408\"] \n  22 -> 25 [size =\"31121408\"]\n  23 [size=\"97737387\", alpha=\"0.03\", expect_size=\"29321216\"] \n  23 -> 25 [size =\"29321216\"]\n  24 [size=\"103471787\", alpha=\"0.19\", expect_size=\"31041536\"] \n  25 [size=\"158539093\", alpha=\"0.03\", expect_size=\"47561728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65297920\", alpha=\"0.08\", expect_size=\"26119168\"] \n  1 -> 3 [size =\"26119168\"]\n  1 -> 4 [size =\"26119168\"]\n  2 [size=\"73712640\", alpha=\"0.03\", expect_size=\"29485056\"] \n  2 -> 4 [size =\"29485056\"]\n  3 [size=\"97016320\", alpha=\"0.06\", expect_size=\"38806528\"] \n  3 -> 5 [size =\"38806528\"]\n  3 -> 6 [size =\"38806528\"]\n  4 [size=\"37903360\", alpha=\"0.18\", expect_size=\"15161344\"] \n  4 -> 5 [size =\"15161344\"]\n  4 -> 6 [size =\"15161344\"]\n  5 [size=\"28482560\", alpha=\"0.12\", expect_size=\"11393024\"] \n  6 [size=\"118973440\", alpha=\"0.16\", expect_size=\"47589376\"] \n  6 -> 7 [size =\"47589376\"]\n  7 [size=\"125406720\", alpha=\"0.11\", expect_size=\"50162688\"] \n  7 -> 8 [size =\"50162688\"]\n  8 [size=\"128309760\", alpha=\"0.02\", expect_size=\"51323904\"] \n  8 -> 9 [size =\"51323904\"]\n  9 [size=\"123494400\", alpha=\"0.03\", expect_size=\"49397760\"] \n  9 -> 10 [size =\"49397760\"]\n  9 -> 11 [size =\"49397760\"]\n  10 [size=\"60518400\", alpha=\"0.03\", expect_size=\"24207360\"] \n  10 -> 12 [size =\"24207360\"]\n  11 [size=\"74723840\", alpha=\"0.17\", expect_size=\"29889536\"] \n  11 -> 12 [size =\"29889536\"]\n  12 [size=\"122122240\", alpha=\"0.05\", expect_size=\"48848896\"] \n  12 -> 13 [size =\"48848896\"]\n  12 -> 14 [size =\"48848896\"]\n  13 [size=\"19422720\", alpha=\"0.10\", expect_size=\"7769088\"] \n  13 -> 15 [size =\"7769088\"]\n  14 [size=\"53501440\", alpha=\"0.10\", expect_size=\"21400576\"] \n  14 -> 15 [size =\"21400576\"]\n  14 -> 16 [size =\"21400576\"]\n  15 [size=\"40212480\", alpha=\"0.15\", expect_size=\"16084992\"] \n  15 -> 17 [size =\"16084992\"]\n  16 [size=\"111495680\", alpha=\"0.17\", expect_size=\"44598272\"] \n  16 -> 17 [size =\"44598272\"]\n  16 -> 18 [size =\"44598272\"]\n  17 [size=\"88258560\", alpha=\"0.06\", expect_size=\"35303424\"] \n  18 [size=\"35681280\", alpha=\"0.12\", expect_size=\"14272512\"] \n  18 -> 19 [size =\"14272512\"]\n  19 [size=\"47987200\", alpha=\"0.01\", expect_size=\"19194880\"] \n  19 -> 20 [size =\"19194880\"]\n  20 [size=\"67650560\", alpha=\"0.11\", expect_size=\"27060224\"] \n  20 -> 21 [size =\"27060224\"]\n  21 [size=\"85826560\", alpha=\"0.11\", expect_size=\"34330624\"] \n  21 -> 22 [size =\"34330624\"]\n  22 [size=\"67706880\", alpha=\"0.00\", expect_size=\"27082752\"] \n  22 -> 23 [size =\"27082752\"]\n  22 -> 24 [size =\"27082752\"]\n  23 [size=\"98698240\", alpha=\"0.04\", expect_size=\"39479296\"] \n  23 -> 25 [size =\"39479296\"]\n  24 [size=\"37729280\", alpha=\"0.13\", expect_size=\"15091712\"] \n  25 [size=\"97259520\", alpha=\"0.03\", expect_size=\"38903808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96337920\", alpha=\"0.19\", expect_size=\"28901376\"] \n  1 -> 20 [size =\"28901376\"]\n  1 -> 25 [size =\"28901376\"]\n  2 [size=\"59245227\", alpha=\"0.12\", expect_size=\"17773568\"] \n  2 -> 17 [size =\"17773568\"]\n  2 -> 25 [size =\"17773568\"]\n  3 [size=\"169311573\", alpha=\"0.20\", expect_size=\"50793472\"] \n  3 -> 17 [size =\"50793472\"]\n  3 -> 18 [size =\"50793472\"]\n  3 -> 19 [size =\"50793472\"]\n  3 -> 20 [size =\"50793472\"]\n  3 -> 24 [size =\"50793472\"]\n  3 -> 25 [size =\"50793472\"]\n  4 [size=\"91374933\", alpha=\"0.12\", expect_size=\"27412480\"] \n  4 -> 18 [size =\"27412480\"]\n  4 -> 18 [size =\"27412480\"]\n  4 -> 20 [size =\"27412480\"]\n  4 -> 21 [size =\"27412480\"]\n  4 -> 24 [size =\"27412480\"]\n  5 [size=\"108636160\", alpha=\"0.10\", expect_size=\"32590848\"] \n  5 -> 21 [size =\"32590848\"]\n  5 -> 24 [size =\"32590848\"]\n  5 -> 25 [size =\"32590848\"]\n  6 [size=\"92579840\", alpha=\"0.05\", expect_size=\"27773952\"] \n  6 -> 20 [size =\"27773952\"]\n  6 -> 21 [size =\"27773952\"]\n  6 -> 25 [size =\"27773952\"]\n  7 [size=\"122275840\", alpha=\"0.01\", expect_size=\"36682752\"] \n  7 -> 19 [size =\"36682752\"]\n  7 -> 20 [size =\"36682752\"]\n  7 -> 21 [size =\"36682752\"]\n  7 -> 24 [size =\"36682752\"]\n  7 -> 25 [size =\"36682752\"]\n  8 [size=\"168922453\", alpha=\"0.05\", expect_size=\"50676736\"] \n  8 -> 19 [size =\"50676736\"]\n  8 -> 20 [size =\"50676736\"]\n  8 -> 22 [size =\"50676736\"]\n  8 -> 23 [size =\"50676736\"]\n  8 -> 24 [size =\"50676736\"]\n  8 -> 25 [size =\"50676736\"]\n  9 [size=\"39635627\", alpha=\"0.12\", expect_size=\"11890688\"] \n  9 -> 19 [size =\"11890688\"]\n  9 -> 20 [size =\"11890688\"]\n  9 -> 21 [size =\"11890688\"]\n  9 -> 22 [size =\"11890688\"]\n  9 -> 23 [size =\"11890688\"]\n  9 -> 25 [size =\"11890688\"]\n  10 [size=\"138799787\", alpha=\"0.00\", expect_size=\"41639936\"] \n  10 -> 22 [size =\"41639936\"]\n  10 -> 24 [size =\"41639936\"]\n  11 [size=\"75233280\", alpha=\"0.07\", expect_size=\"22569984\"] \n  11 -> 19 [size =\"22569984\"]\n  11 -> 20 [size =\"22569984\"]\n  12 [size=\"63549440\", alpha=\"0.17\", expect_size=\"19064832\"] \n  12 -> 24 [size =\"19064832\"]\n  13 [size=\"160815787\", alpha=\"0.11\", expect_size=\"48244736\"] \n  13 -> 18 [size =\"48244736\"]\n  13 -> 24 [size =\"48244736\"]\n  13 -> 25 [size =\"48244736\"]\n  14 [size=\"158081707\", alpha=\"0.09\", expect_size=\"47424512\"] \n  14 -> 18 [size =\"47424512\"]\n  14 -> 19 [size =\"47424512\"]\n  14 -> 20 [size =\"47424512\"]\n  14 -> 23 [size =\"47424512\"]\n  14 -> 24 [size =\"47424512\"]\n  14 -> 25 [size =\"47424512\"]\n  15 [size=\"91248640\", alpha=\"0.17\", expect_size=\"27374592\"] \n  15 -> 18 [size =\"27374592\"]\n  15 -> 19 [size =\"27374592\"]\n  15 -> 24 [size =\"27374592\"]\n  15 -> 25 [size =\"27374592\"]\n  16 [size=\"168342187\", alpha=\"0.19\", expect_size=\"50502656\"] \n  16 -> 18 [size =\"50502656\"]\n  16 -> 19 [size =\"50502656\"]\n  16 -> 20 [size =\"50502656\"]\n  16 -> 23 [size =\"50502656\"]\n  16 -> 25 [size =\"50502656\"]\n  17 [size=\"47752533\", alpha=\"0.19\", expect_size=\"14325760\"] \n  18 [size=\"54743040\", alpha=\"0.03\", expect_size=\"16422912\"] \n  19 [size=\"95443627\", alpha=\"0.02\", expect_size=\"28633088\"] \n  20 [size=\"30310400\", alpha=\"0.11\", expect_size=\"9093120\"] \n  21 [size=\"33795413\", alpha=\"0.11\", expect_size=\"10138624\"] \n  22 [size=\"91071147\", alpha=\"0.16\", expect_size=\"27321344\"] \n  23 [size=\"66082133\", alpha=\"0.20\", expect_size=\"19824640\"] \n  24 [size=\"154924373\", alpha=\"0.14\", expect_size=\"46477312\"] \n  25 [size=\"66051413\", alpha=\"0.19\", expect_size=\"19815424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58161152\", alpha=\"0.11\", expect_size=\"29080576\"] \n  1 -> 4 [size =\"29080576\"]\n  2 [size=\"39755776\", alpha=\"0.09\", expect_size=\"19877888\"] \n  2 -> 3 [size =\"19877888\"]\n  3 [size=\"76949504\", alpha=\"0.14\", expect_size=\"38474752\"] \n  4 [size=\"16109568\", alpha=\"0.05\", expect_size=\"8054784\"] \n  4 -> 5 [size =\"8054784\"]\n  5 [size=\"95248384\", alpha=\"0.18\", expect_size=\"47624192\"] \n  5 -> 6 [size =\"47624192\"]\n  5 -> 7 [size =\"47624192\"]\n  6 [size=\"87887872\", alpha=\"0.18\", expect_size=\"43943936\"] \n  7 [size=\"68425728\", alpha=\"0.02\", expect_size=\"34212864\"] \n  7 -> 8 [size =\"34212864\"]\n  7 -> 9 [size =\"34212864\"]\n  8 [size=\"88088576\", alpha=\"0.10\", expect_size=\"44044288\"] \n  9 [size=\"41037824\", alpha=\"0.13\", expect_size=\"20518912\"] \n  9 -> 10 [size =\"20518912\"]\n  10 [size=\"57876480\", alpha=\"0.10\", expect_size=\"28938240\"] \n  10 -> 11 [size =\"28938240\"]\n  11 [size=\"91191296\", alpha=\"0.09\", expect_size=\"45595648\"] \n  11 -> 12 [size =\"45595648\"]\n  12 [size=\"49340416\", alpha=\"0.12\", expect_size=\"24670208\"] \n  12 -> 13 [size =\"24670208\"]\n  12 -> 14 [size =\"24670208\"]\n  13 [size=\"91744256\", alpha=\"0.15\", expect_size=\"45872128\"] \n  13 -> 15 [size =\"45872128\"]\n  14 [size=\"64976896\", alpha=\"0.11\", expect_size=\"32488448\"] \n  15 [size=\"90408960\", alpha=\"0.15\", expect_size=\"45204480\"] \n  15 -> 16 [size =\"45204480\"]\n  15 -> 17 [size =\"45204480\"]\n  16 [size=\"83040256\", alpha=\"0.02\", expect_size=\"41520128\"] \n  16 -> 18 [size =\"41520128\"]\n  16 -> 19 [size =\"41520128\"]\n  17 [size=\"73916416\", alpha=\"0.12\", expect_size=\"36958208\"] \n  18 [size=\"83480576\", alpha=\"0.14\", expect_size=\"41740288\"] \n  18 -> 20 [size =\"41740288\"]\n  19 [size=\"35649536\", alpha=\"0.12\", expect_size=\"17824768\"] \n  20 [size=\"98353152\", alpha=\"0.11\", expect_size=\"49176576\"] \n  20 -> 21 [size =\"49176576\"]\n  21 [size=\"50667520\", alpha=\"0.20\", expect_size=\"25333760\"] \n  21 -> 22 [size =\"25333760\"]\n  22 [size=\"94564352\", alpha=\"0.15\", expect_size=\"47282176\"] \n  22 -> 23 [size =\"47282176\"]\n  22 -> 24 [size =\"47282176\"]\n  23 [size=\"57266176\", alpha=\"0.04\", expect_size=\"28633088\"] \n  24 [size=\"33796096\", alpha=\"0.15\", expect_size=\"16898048\"] \n  24 -> 25 [size =\"16898048\"]\n  25 [size=\"87021568\", alpha=\"0.04\", expect_size=\"43510784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27648000\", alpha=\"0.10\", expect_size=\"13824000\"] \n  1 -> 6 [size =\"13824000\"]\n  2 [size=\"68136960\", alpha=\"0.05\", expect_size=\"34068480\"] \n  2 -> 6 [size =\"34068480\"]\n  3 [size=\"61278208\", alpha=\"0.04\", expect_size=\"30639104\"] \n  4 [size=\"12867584\", alpha=\"0.17\", expect_size=\"6433792\"] \n  5 [size=\"52441088\", alpha=\"0.07\", expect_size=\"26220544\"] \n  5 -> 6 [size =\"26220544\"]\n  5 -> 7 [size =\"26220544\"]\n  6 [size=\"51441664\", alpha=\"0.13\", expect_size=\"25720832\"] \n  6 -> 9 [size =\"25720832\"]\n  7 [size=\"54263808\", alpha=\"0.19\", expect_size=\"27131904\"] \n  7 -> 8 [size =\"27131904\"]\n  7 -> 9 [size =\"27131904\"]\n  7 -> 10 [size =\"27131904\"]\n  7 -> 11 [size =\"27131904\"]\n  8 [size=\"58372096\", alpha=\"0.16\", expect_size=\"29186048\"] \n  9 [size=\"81426432\", alpha=\"0.18\", expect_size=\"40713216\"] \n  9 -> 13 [size =\"40713216\"]\n  10 [size=\"96262144\", alpha=\"0.17\", expect_size=\"48131072\"] \n  10 -> 12 [size =\"48131072\"]\n  11 [size=\"76722176\", alpha=\"0.18\", expect_size=\"38361088\"] \n  11 -> 12 [size =\"38361088\"]\n  12 [size=\"30844928\", alpha=\"0.17\", expect_size=\"15422464\"] \n  12 -> 14 [size =\"15422464\"]\n  12 -> 15 [size =\"15422464\"]\n  13 [size=\"56731648\", alpha=\"0.12\", expect_size=\"28365824\"] \n  14 [size=\"76285952\", alpha=\"0.19\", expect_size=\"38142976\"] \n  14 -> 16 [size =\"38142976\"]\n  14 -> 17 [size =\"38142976\"]\n  15 [size=\"63979520\", alpha=\"0.04\", expect_size=\"31989760\"] \n  15 -> 16 [size =\"31989760\"]\n  16 [size=\"96305152\", alpha=\"0.06\", expect_size=\"48152576\"] \n  16 -> 18 [size =\"48152576\"]\n  17 [size=\"64258048\", alpha=\"0.20\", expect_size=\"32129024\"] \n  17 -> 18 [size =\"32129024\"]\n  17 -> 19 [size =\"32129024\"]\n  17 -> 20 [size =\"32129024\"]\n  17 -> 21 [size =\"32129024\"]\n  17 -> 22 [size =\"32129024\"]\n  18 [size=\"58355712\", alpha=\"0.08\", expect_size=\"29177856\"] \n  19 [size=\"39823360\", alpha=\"0.11\", expect_size=\"19911680\"] \n  19 -> 24 [size =\"19911680\"]\n  19 -> 25 [size =\"19911680\"]\n  20 [size=\"32442368\", alpha=\"0.16\", expect_size=\"16221184\"] \n  20 -> 23 [size =\"16221184\"]\n  20 -> 24 [size =\"16221184\"]\n  21 [size=\"17127424\", alpha=\"0.05\", expect_size=\"8563712\"] \n  21 -> 23 [size =\"8563712\"]\n  21 -> 24 [size =\"8563712\"]\n  22 [size=\"101505024\", alpha=\"0.07\", expect_size=\"50752512\"] \n  22 -> 23 [size =\"50752512\"]\n  23 [size=\"88510464\", alpha=\"0.19\", expect_size=\"44255232\"] \n  24 [size=\"51253248\", alpha=\"0.11\", expect_size=\"25626624\"] \n  25 [size=\"46942208\", alpha=\"0.13\", expect_size=\"23471104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116118187\", alpha=\"0.12\", expect_size=\"34835456\"] \n  1 -> 2 [size =\"34835456\"]\n  2 [size=\"116964693\", alpha=\"0.13\", expect_size=\"35089408\"] \n  2 -> 3 [size =\"35089408\"]\n  3 [size=\"51722240\", alpha=\"0.20\", expect_size=\"15516672\"] \n  3 -> 4 [size =\"15516672\"]\n  4 [size=\"92791467\", alpha=\"0.01\", expect_size=\"27837440\"] \n  4 -> 5 [size =\"27837440\"]\n  5 [size=\"115022507\", alpha=\"0.17\", expect_size=\"34506752\"] \n  5 -> 6 [size =\"34506752\"]\n  6 [size=\"151166293\", alpha=\"0.06\", expect_size=\"45349888\"] \n  6 -> 7 [size =\"45349888\"]\n  7 [size=\"37256533\", alpha=\"0.07\", expect_size=\"11176960\"] \n  7 -> 8 [size =\"11176960\"]\n  8 [size=\"142342827\", alpha=\"0.08\", expect_size=\"42702848\"] \n  8 -> 9 [size =\"42702848\"]\n  9 [size=\"23251627\", alpha=\"0.10\", expect_size=\"6975488\"] \n  9 -> 10 [size =\"6975488\"]\n  10 [size=\"157911040\", alpha=\"0.03\", expect_size=\"47373312\"] \n  10 -> 11 [size =\"47373312\"]\n  11 [size=\"89419093\", alpha=\"0.11\", expect_size=\"26825728\"] \n  11 -> 12 [size =\"26825728\"]\n  12 [size=\"25596587\", alpha=\"0.14\", expect_size=\"7678976\"] \n  12 -> 13 [size =\"7678976\"]\n  13 [size=\"130952533\", alpha=\"0.09\", expect_size=\"39285760\"] \n  13 -> 14 [size =\"39285760\"]\n  14 [size=\"128727040\", alpha=\"0.03\", expect_size=\"38618112\"] \n  14 -> 15 [size =\"38618112\"]\n  15 [size=\"140482560\", alpha=\"0.16\", expect_size=\"42144768\"] \n  15 -> 16 [size =\"42144768\"]\n  16 [size=\"120197120\", alpha=\"0.19\", expect_size=\"36059136\"] \n  16 -> 17 [size =\"36059136\"]\n  17 [size=\"168912213\", alpha=\"0.00\", expect_size=\"50673664\"] \n  17 -> 18 [size =\"50673664\"]\n  18 [size=\"64436907\", alpha=\"0.03\", expect_size=\"19331072\"] \n  18 -> 19 [size =\"19331072\"]\n  19 [size=\"126549333\", alpha=\"0.19\", expect_size=\"37964800\"] \n  19 -> 20 [size =\"37964800\"]\n  20 [size=\"46400853\", alpha=\"0.11\", expect_size=\"13920256\"] \n  20 -> 21 [size =\"13920256\"]\n  21 [size=\"73748480\", alpha=\"0.15\", expect_size=\"22124544\"] \n  21 -> 22 [size =\"22124544\"]\n  22 [size=\"162723840\", alpha=\"0.11\", expect_size=\"48817152\"] \n  22 -> 23 [size =\"48817152\"]\n  23 [size=\"117196800\", alpha=\"0.12\", expect_size=\"35159040\"] \n  23 -> 24 [size =\"35159040\"]\n  24 [size=\"27156480\", alpha=\"0.03\", expect_size=\"8146944\"] \n  24 -> 25 [size =\"8146944\"]\n  25 [size=\"54166187\", alpha=\"0.06\", expect_size=\"16249856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50038784\", alpha=\"0.11\", expect_size=\"25019392\"] \n  1 -> 2 [size =\"25019392\"]\n  2 [size=\"65441792\", alpha=\"0.05\", expect_size=\"32720896\"] \n  2 -> 3 [size =\"32720896\"]\n  3 [size=\"93122560\", alpha=\"0.20\", expect_size=\"46561280\"] \n  3 -> 4 [size =\"46561280\"]\n  4 [size=\"95322112\", alpha=\"0.17\", expect_size=\"47661056\"] \n  4 -> 5 [size =\"47661056\"]\n  5 [size=\"44832768\", alpha=\"0.11\", expect_size=\"22416384\"] \n  5 -> 6 [size =\"22416384\"]\n  6 [size=\"31498240\", alpha=\"0.03\", expect_size=\"15749120\"] \n  6 -> 7 [size =\"15749120\"]\n  7 [size=\"77137920\", alpha=\"0.02\", expect_size=\"38568960\"] \n  7 -> 8 [size =\"38568960\"]\n  8 [size=\"11886592\", alpha=\"0.03\", expect_size=\"5943296\"] \n  8 -> 9 [size =\"5943296\"]\n  9 [size=\"102420480\", alpha=\"0.06\", expect_size=\"51210240\"] \n  9 -> 10 [size =\"51210240\"]\n  10 [size=\"90890240\", alpha=\"0.00\", expect_size=\"45445120\"] \n  10 -> 11 [size =\"45445120\"]\n  11 [size=\"12691456\", alpha=\"0.09\", expect_size=\"6345728\"] \n  11 -> 12 [size =\"6345728\"]\n  12 [size=\"64323584\", alpha=\"0.12\", expect_size=\"32161792\"] \n  12 -> 13 [size =\"32161792\"]\n  13 [size=\"88199168\", alpha=\"0.08\", expect_size=\"44099584\"] \n  13 -> 14 [size =\"44099584\"]\n  14 [size=\"86382592\", alpha=\"0.16\", expect_size=\"43191296\"] \n  14 -> 15 [size =\"43191296\"]\n  15 [size=\"72863744\", alpha=\"0.09\", expect_size=\"36431872\"] \n  15 -> 16 [size =\"36431872\"]\n  16 [size=\"32489472\", alpha=\"0.14\", expect_size=\"16244736\"] \n  16 -> 17 [size =\"16244736\"]\n  17 [size=\"48531456\", alpha=\"0.04\", expect_size=\"24265728\"] \n  17 -> 18 [size =\"24265728\"]\n  18 [size=\"56516608\", alpha=\"0.02\", expect_size=\"28258304\"] \n  18 -> 19 [size =\"28258304\"]\n  19 [size=\"70965248\", alpha=\"0.07\", expect_size=\"35482624\"] \n  19 -> 20 [size =\"35482624\"]\n  20 [size=\"100474880\", alpha=\"0.11\", expect_size=\"50237440\"] \n  20 -> 21 [size =\"50237440\"]\n  21 [size=\"101087232\", alpha=\"0.04\", expect_size=\"50543616\"] \n  21 -> 22 [size =\"50543616\"]\n  22 [size=\"49668096\", alpha=\"0.08\", expect_size=\"24834048\"] \n  22 -> 23 [size =\"24834048\"]\n  23 [size=\"13811712\", alpha=\"0.10\", expect_size=\"6905856\"] \n  23 -> 24 [size =\"6905856\"]\n  24 [size=\"52062208\", alpha=\"0.10\", expect_size=\"26031104\"] \n  24 -> 25 [size =\"26031104\"]\n  25 [size=\"31920128\", alpha=\"0.17\", expect_size=\"15960064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109226667\", alpha=\"0.02\", expect_size=\"32768000\"] \n  1 -> 3 [size =\"32768000\"]\n  2 [size=\"37044907\", alpha=\"0.15\", expect_size=\"11113472\"] \n  2 -> 3 [size =\"11113472\"]\n  3 [size=\"168273920\", alpha=\"0.18\", expect_size=\"50482176\"] \n  3 -> 4 [size =\"50482176\"]\n  4 [size=\"20104533\", alpha=\"0.16\", expect_size=\"6031360\"] \n  4 -> 5 [size =\"6031360\"]\n  5 [size=\"171106987\", alpha=\"0.05\", expect_size=\"51332096\"] \n  5 -> 6 [size =\"51332096\"]\n  5 -> 7 [size =\"51332096\"]\n  6 [size=\"157733547\", alpha=\"0.13\", expect_size=\"47320064\"] \n  6 -> 8 [size =\"47320064\"]\n  7 [size=\"66385920\", alpha=\"0.11\", expect_size=\"19915776\"] \n  7 -> 8 [size =\"19915776\"]\n  7 -> 9 [size =\"19915776\"]\n  8 [size=\"149452800\", alpha=\"0.11\", expect_size=\"44835840\"] \n  8 -> 10 [size =\"44835840\"]\n  9 [size=\"134430720\", alpha=\"0.02\", expect_size=\"40329216\"] \n  9 -> 10 [size =\"40329216\"]\n  10 [size=\"96566613\", alpha=\"0.01\", expect_size=\"28969984\"] \n  10 -> 11 [size =\"28969984\"]\n  10 -> 12 [size =\"28969984\"]\n  11 [size=\"18797227\", alpha=\"0.00\", expect_size=\"5639168\"] \n  11 -> 13 [size =\"5639168\"]\n  11 -> 14 [size =\"5639168\"]\n  12 [size=\"31921493\", alpha=\"0.10\", expect_size=\"9576448\"] \n  12 -> 14 [size =\"9576448\"]\n  13 [size=\"147582293\", alpha=\"0.04\", expect_size=\"44274688\"] \n  13 -> 15 [size =\"44274688\"]\n  14 [size=\"135010987\", alpha=\"0.15\", expect_size=\"40503296\"] \n  14 -> 16 [size =\"40503296\"]\n  15 [size=\"104328533\", alpha=\"0.11\", expect_size=\"31298560\"] \n  15 -> 17 [size =\"31298560\"]\n  15 -> 18 [size =\"31298560\"]\n  16 [size=\"146032640\", alpha=\"0.04\", expect_size=\"43809792\"] \n  16 -> 17 [size =\"43809792\"]\n  17 [size=\"92910933\", alpha=\"0.04\", expect_size=\"27873280\"] \n  17 -> 19 [size =\"27873280\"]\n  17 -> 20 [size =\"27873280\"]\n  18 [size=\"23111680\", alpha=\"0.11\", expect_size=\"6933504\"] \n  18 -> 19 [size =\"6933504\"]\n  18 -> 20 [size =\"6933504\"]\n  19 [size=\"106489173\", alpha=\"0.17\", expect_size=\"31946752\"] \n  19 -> 22 [size =\"31946752\"]\n  20 [size=\"119528107\", alpha=\"0.14\", expect_size=\"35858432\"] \n  20 -> 21 [size =\"35858432\"]\n  20 -> 22 [size =\"35858432\"]\n  21 [size=\"129850027\", alpha=\"0.02\", expect_size=\"38955008\"] \n  21 -> 24 [size =\"38955008\"]\n  22 [size=\"130007040\", alpha=\"0.13\", expect_size=\"39002112\"] \n  22 -> 23 [size =\"39002112\"]\n  22 -> 24 [size =\"39002112\"]\n  23 [size=\"54534827\", alpha=\"0.03\", expect_size=\"16360448\"] \n  23 -> 25 [size =\"16360448\"]\n  24 [size=\"82336427\", alpha=\"0.14\", expect_size=\"24700928\"] \n  25 [size=\"44253867\", alpha=\"0.04\", expect_size=\"13276160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102978560\", alpha=\"0.02\", expect_size=\"41191424\"] \n  1 -> 10 [size =\"41191424\"]\n  1 -> 11 [size =\"41191424\"]\n  1 -> 13 [size =\"41191424\"]\n  1 -> 16 [size =\"41191424\"]\n  2 [size=\"20620800\", alpha=\"0.01\", expect_size=\"8248320\"] \n  2 -> 10 [size =\"8248320\"]\n  2 -> 11 [size =\"8248320\"]\n  2 -> 13 [size =\"8248320\"]\n  2 -> 14 [size =\"8248320\"]\n  3 [size=\"21539840\", alpha=\"0.08\", expect_size=\"8615936\"] \n  3 -> 10 [size =\"8615936\"]\n  3 -> 11 [size =\"8615936\"]\n  3 -> 15 [size =\"8615936\"]\n  4 [size=\"23257600\", alpha=\"0.00\", expect_size=\"9303040\"] \n  4 -> 9 [size =\"9303040\"]\n  4 -> 10 [size =\"9303040\"]\n  4 -> 16 [size =\"9303040\"]\n  5 [size=\"48302080\", alpha=\"0.10\", expect_size=\"19320832\"] \n  5 -> 9 [size =\"19320832\"]\n  5 -> 10 [size =\"19320832\"]\n  5 -> 16 [size =\"19320832\"]\n  6 [size=\"112514560\", alpha=\"0.01\", expect_size=\"45005824\"] \n  6 -> 12 [size =\"45005824\"]\n  6 -> 14 [size =\"45005824\"]\n  6 -> 16 [size =\"45005824\"]\n  7 [size=\"20444160\", alpha=\"0.20\", expect_size=\"8177664\"] \n  7 -> 9 [size =\"8177664\"]\n  7 -> 11 [size =\"8177664\"]\n  7 -> 13 [size =\"8177664\"]\n  7 -> 14 [size =\"8177664\"]\n  8 [size=\"76792320\", alpha=\"0.17\", expect_size=\"30716928\"] \n  8 -> 11 [size =\"30716928\"]\n  8 -> 13 [size =\"30716928\"]\n  8 -> 14 [size =\"30716928\"]\n  8 -> 16 [size =\"30716928\"]\n  9 [size=\"130752000\", alpha=\"0.03\", expect_size=\"52300800\"] \n  9 -> 18 [size =\"52300800\"]\n  9 -> 21 [size =\"52300800\"]\n  10 [size=\"14855680\", alpha=\"0.03\", expect_size=\"5942272\"] \n  10 -> 19 [size =\"5942272\"]\n  11 [size=\"78576640\", alpha=\"0.12\", expect_size=\"31430656\"] \n  11 -> 18 [size =\"31430656\"]\n  11 -> 19 [size =\"31430656\"]\n  11 -> 20 [size =\"31430656\"]\n  11 -> 24 [size =\"31430656\"]\n  12 [size=\"88453120\", alpha=\"0.03\", expect_size=\"35381248\"] \n  12 -> 17 [size =\"35381248\"]\n  13 [size=\"96289280\", alpha=\"0.14\", expect_size=\"38515712\"] \n  13 -> 24 [size =\"38515712\"]\n  14 [size=\"22978560\", alpha=\"0.04\", expect_size=\"9191424\"] \n  14 -> 17 [size =\"9191424\"]\n  14 -> 23 [size =\"9191424\"]\n  15 [size=\"23411200\", alpha=\"0.16\", expect_size=\"9364480\"] \n  15 -> 18 [size =\"9364480\"]\n  16 [size=\"83842560\", alpha=\"0.04\", expect_size=\"33537024\"] \n  16 -> 18 [size =\"33537024\"]\n  16 -> 20 [size =\"33537024\"]\n  16 -> 22 [size =\"33537024\"]\n  16 -> 24 [size =\"33537024\"]\n  17 [size=\"91983360\", alpha=\"0.17\", expect_size=\"36793344\"] \n  18 [size=\"89400320\", alpha=\"0.12\", expect_size=\"35760128\"] \n  19 [size=\"74117120\", alpha=\"0.10\", expect_size=\"29646848\"] \n  19 -> 25 [size =\"29646848\"]\n  20 [size=\"89088000\", alpha=\"0.12\", expect_size=\"35635200\"] \n  20 -> 25 [size =\"35635200\"]\n  21 [size=\"107005440\", alpha=\"0.10\", expect_size=\"42802176\"] \n  22 [size=\"62435840\", alpha=\"0.08\", expect_size=\"24974336\"] \n  23 [size=\"78735360\", alpha=\"0.09\", expect_size=\"31494144\"] \n  24 [size=\"45921280\", alpha=\"0.11\", expect_size=\"18368512\"] \n  25 [size=\"70830080\", alpha=\"0.19\", expect_size=\"28332032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120859307\", alpha=\"0.15\", expect_size=\"36257792\"] \n  1 -> 5 [size =\"36257792\"]\n  1 -> 6 [size =\"36257792\"]\n  2 [size=\"111022080\", alpha=\"0.14\", expect_size=\"33306624\"] \n  3 [size=\"126774613\", alpha=\"0.09\", expect_size=\"38032384\"] \n  4 [size=\"43912533\", alpha=\"0.08\", expect_size=\"13173760\"] \n  4 -> 5 [size =\"13173760\"]\n  5 [size=\"123542187\", alpha=\"0.04\", expect_size=\"37062656\"] \n  5 -> 7 [size =\"37062656\"]\n  5 -> 8 [size =\"37062656\"]\n  6 [size=\"92590080\", alpha=\"0.19\", expect_size=\"27777024\"] \n  6 -> 7 [size =\"27777024\"]\n  6 -> 8 [size =\"27777024\"]\n  7 [size=\"97751040\", alpha=\"0.16\", expect_size=\"29325312\"] \n  7 -> 9 [size =\"29325312\"]\n  7 -> 10 [size =\"29325312\"]\n  7 -> 12 [size =\"29325312\"]\n  8 [size=\"127078400\", alpha=\"0.18\", expect_size=\"38123520\"] \n  8 -> 9 [size =\"38123520\"]\n  8 -> 10 [size =\"38123520\"]\n  8 -> 11 [size =\"38123520\"]\n  8 -> 12 [size =\"38123520\"]\n  9 [size=\"85770240\", alpha=\"0.00\", expect_size=\"25731072\"] \n  10 [size=\"36075520\", alpha=\"0.19\", expect_size=\"10822656\"] \n  10 -> 13 [size =\"10822656\"]\n  10 -> 14 [size =\"10822656\"]\n  10 -> 15 [size =\"10822656\"]\n  11 [size=\"163505493\", alpha=\"0.01\", expect_size=\"49051648\"] \n  11 -> 13 [size =\"49051648\"]\n  11 -> 16 [size =\"49051648\"]\n  12 [size=\"122774187\", alpha=\"0.19\", expect_size=\"36832256\"] \n  12 -> 13 [size =\"36832256\"]\n  12 -> 14 [size =\"36832256\"]\n  13 [size=\"73615360\", alpha=\"0.19\", expect_size=\"22084608\"] \n  13 -> 17 [size =\"22084608\"]\n  13 -> 20 [size =\"22084608\"]\n  14 [size=\"141318827\", alpha=\"0.12\", expect_size=\"42395648\"] \n  14 -> 17 [size =\"42395648\"]\n  14 -> 19 [size =\"42395648\"]\n  14 -> 20 [size =\"42395648\"]\n  14 -> 21 [size =\"42395648\"]\n  15 [size=\"48155307\", alpha=\"0.13\", expect_size=\"14446592\"] \n  15 -> 19 [size =\"14446592\"]\n  15 -> 21 [size =\"14446592\"]\n  16 [size=\"77752320\", alpha=\"0.01\", expect_size=\"23325696\"] \n  16 -> 18 [size =\"23325696\"]\n  16 -> 19 [size =\"23325696\"]\n  16 -> 20 [size =\"23325696\"]\n  17 [size=\"69881173\", alpha=\"0.04\", expect_size=\"20964352\"] \n  17 -> 23 [size =\"20964352\"]\n  17 -> 24 [size =\"20964352\"]\n  17 -> 25 [size =\"20964352\"]\n  18 [size=\"34710187\", alpha=\"0.15\", expect_size=\"10413056\"] \n  18 -> 22 [size =\"10413056\"]\n  18 -> 23 [size =\"10413056\"]\n  18 -> 25 [size =\"10413056\"]\n  19 [size=\"172571307\", alpha=\"0.06\", expect_size=\"51771392\"] \n  19 -> 24 [size =\"51771392\"]\n  20 [size=\"174110720\", alpha=\"0.11\", expect_size=\"52233216\"] \n  20 -> 25 [size =\"52233216\"]\n  21 [size=\"162341547\", alpha=\"0.08\", expect_size=\"48702464\"] \n  21 -> 24 [size =\"48702464\"]\n  21 -> 25 [size =\"48702464\"]\n  22 [size=\"171185493\", alpha=\"0.18\", expect_size=\"51355648\"] \n  23 [size=\"166219093\", alpha=\"0.01\", expect_size=\"49865728\"] \n  24 [size=\"157812053\", alpha=\"0.08\", expect_size=\"47343616\"] \n  25 [size=\"93982720\", alpha=\"0.08\", expect_size=\"28194816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64998400\", alpha=\"0.13\", expect_size=\"25999360\"] \n  1 -> 2 [size =\"25999360\"]\n  2 [size=\"112990720\", alpha=\"0.11\", expect_size=\"45196288\"] \n  2 -> 3 [size =\"45196288\"]\n  3 [size=\"106711040\", alpha=\"0.06\", expect_size=\"42684416\"] \n  3 -> 4 [size =\"42684416\"]\n  4 [size=\"25955840\", alpha=\"0.13\", expect_size=\"10382336\"] \n  4 -> 5 [size =\"10382336\"]\n  5 [size=\"87490560\", alpha=\"0.08\", expect_size=\"34996224\"] \n  5 -> 6 [size =\"34996224\"]\n  6 [size=\"16440320\", alpha=\"0.02\", expect_size=\"6576128\"] \n  6 -> 7 [size =\"6576128\"]\n  7 [size=\"13480960\", alpha=\"0.11\", expect_size=\"5392384\"] \n  7 -> 8 [size =\"5392384\"]\n  8 [size=\"111587840\", alpha=\"0.04\", expect_size=\"44635136\"] \n  8 -> 9 [size =\"44635136\"]\n  9 [size=\"25792000\", alpha=\"0.07\", expect_size=\"10316800\"] \n  9 -> 10 [size =\"10316800\"]\n  10 [size=\"57786880\", alpha=\"0.20\", expect_size=\"23114752\"] \n  10 -> 11 [size =\"23114752\"]\n  11 [size=\"102502400\", alpha=\"0.01\", expect_size=\"41000960\"] \n  11 -> 12 [size =\"41000960\"]\n  12 [size=\"59054080\", alpha=\"0.13\", expect_size=\"23621632\"] \n  12 -> 13 [size =\"23621632\"]\n  13 [size=\"125857280\", alpha=\"0.03\", expect_size=\"50342912\"] \n  13 -> 14 [size =\"50342912\"]\n  14 [size=\"42933760\", alpha=\"0.13\", expect_size=\"17173504\"] \n  14 -> 15 [size =\"17173504\"]\n  15 [size=\"119009280\", alpha=\"0.08\", expect_size=\"47603712\"] \n  15 -> 16 [size =\"47603712\"]\n  16 [size=\"45414400\", alpha=\"0.14\", expect_size=\"18165760\"] \n  16 -> 17 [size =\"18165760\"]\n  17 [size=\"57141760\", alpha=\"0.17\", expect_size=\"22856704\"] \n  17 -> 18 [size =\"22856704\"]\n  18 [size=\"121528320\", alpha=\"0.09\", expect_size=\"48611328\"] \n  18 -> 19 [size =\"48611328\"]\n  19 [size=\"27671040\", alpha=\"0.01\", expect_size=\"11068416\"] \n  19 -> 20 [size =\"11068416\"]\n  20 [size=\"70302720\", alpha=\"0.01\", expect_size=\"28121088\"] \n  20 -> 21 [size =\"28121088\"]\n  21 [size=\"69504000\", alpha=\"0.09\", expect_size=\"27801600\"] \n  21 -> 22 [size =\"27801600\"]\n  22 [size=\"74083840\", alpha=\"0.14\", expect_size=\"29633536\"] \n  22 -> 23 [size =\"29633536\"]\n  23 [size=\"34639360\", alpha=\"0.15\", expect_size=\"13855744\"] \n  23 -> 24 [size =\"13855744\"]\n  24 [size=\"53946880\", alpha=\"0.18\", expect_size=\"21578752\"] \n  24 -> 25 [size =\"21578752\"]\n  25 [size=\"13222400\", alpha=\"0.14\", expect_size=\"5288960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90120192\", alpha=\"0.07\", expect_size=\"45060096\"] \n  1 -> 15 [size =\"45060096\"]\n  1 -> 18 [size =\"45060096\"]\n  1 -> 20 [size =\"45060096\"]\n  1 -> 21 [size =\"45060096\"]\n  2 [size=\"38670336\", alpha=\"0.17\", expect_size=\"19335168\"] \n  2 -> 15 [size =\"19335168\"]\n  2 -> 18 [size =\"19335168\"]\n  2 -> 19 [size =\"19335168\"]\n  2 -> 22 [size =\"19335168\"]\n  3 [size=\"43790336\", alpha=\"0.03\", expect_size=\"21895168\"] \n  3 -> 15 [size =\"21895168\"]\n  3 -> 16 [size =\"21895168\"]\n  3 -> 17 [size =\"21895168\"]\n  3 -> 18 [size =\"21895168\"]\n  3 -> 19 [size =\"21895168\"]\n  3 -> 21 [size =\"21895168\"]\n  3 -> 22 [size =\"21895168\"]\n  3 -> 23 [size =\"21895168\"]\n  4 [size=\"16107520\", alpha=\"0.18\", expect_size=\"8053760\"] \n  4 -> 15 [size =\"8053760\"]\n  4 -> 18 [size =\"8053760\"]\n  4 -> 22 [size =\"8053760\"]\n  4 -> 23 [size =\"8053760\"]\n  5 [size=\"52410368\", alpha=\"0.18\", expect_size=\"26205184\"] \n  5 -> 15 [size =\"26205184\"]\n  5 -> 16 [size =\"26205184\"]\n  5 -> 21 [size =\"26205184\"]\n  5 -> 23 [size =\"26205184\"]\n  5 -> 25 [size =\"26205184\"]\n  6 [size=\"76943360\", alpha=\"0.16\", expect_size=\"38471680\"] \n  6 -> 15 [size =\"38471680\"]\n  6 -> 23 [size =\"38471680\"]\n  7 [size=\"88041472\", alpha=\"0.16\", expect_size=\"44020736\"] \n  7 -> 23 [size =\"44020736\"]\n  8 [size=\"48007168\", alpha=\"0.09\", expect_size=\"24003584\"] \n  8 -> 17 [size =\"24003584\"]\n  8 -> 18 [size =\"24003584\"]\n  8 -> 20 [size =\"24003584\"]\n  8 -> 22 [size =\"24003584\"]\n  8 -> 23 [size =\"24003584\"]\n  9 [size=\"104173568\", alpha=\"0.11\", expect_size=\"52086784\"] \n  9 -> 15 [size =\"52086784\"]\n  9 -> 16 [size =\"52086784\"]\n  9 -> 17 [size =\"52086784\"]\n  9 -> 18 [size =\"52086784\"]\n  9 -> 22 [size =\"52086784\"]\n  10 [size=\"37560320\", alpha=\"0.15\", expect_size=\"18780160\"] \n  10 -> 15 [size =\"18780160\"]\n  10 -> 16 [size =\"18780160\"]\n  10 -> 18 [size =\"18780160\"]\n  10 -> 20 [size =\"18780160\"]\n  10 -> 22 [size =\"18780160\"]\n  11 [size=\"56739840\", alpha=\"0.04\", expect_size=\"28369920\"] \n  11 -> 19 [size =\"28369920\"]\n  11 -> 22 [size =\"28369920\"]\n  11 -> 24 [size =\"28369920\"]\n  12 [size=\"91471872\", alpha=\"0.09\", expect_size=\"45735936\"] \n  12 -> 18 [size =\"45735936\"]\n  12 -> 21 [size =\"45735936\"]\n  12 -> 23 [size =\"45735936\"]\n  13 [size=\"76021760\", alpha=\"0.01\", expect_size=\"38010880\"] \n  13 -> 18 [size =\"38010880\"]\n  13 -> 20 [size =\"38010880\"]\n  13 -> 21 [size =\"38010880\"]\n  13 -> 22 [size =\"38010880\"]\n  13 -> 23 [size =\"38010880\"]\n  14 [size=\"88412160\", alpha=\"0.16\", expect_size=\"44206080\"] \n  14 -> 18 [size =\"44206080\"]\n  14 -> 21 [size =\"44206080\"]\n  14 -> 23 [size =\"44206080\"]\n  15 [size=\"79015936\", alpha=\"0.02\", expect_size=\"39507968\"] \n  16 [size=\"68888576\", alpha=\"0.15\", expect_size=\"34444288\"] \n  17 [size=\"51869696\", alpha=\"0.14\", expect_size=\"25934848\"] \n  18 [size=\"31721472\", alpha=\"0.01\", expect_size=\"15860736\"] \n  19 [size=\"71831552\", alpha=\"0.02\", expect_size=\"35915776\"] \n  20 [size=\"30689280\", alpha=\"0.09\", expect_size=\"15344640\"] \n  21 [size=\"100005888\", alpha=\"0.13\", expect_size=\"50002944\"] \n  22 [size=\"24371200\", alpha=\"0.02\", expect_size=\"12185600\"] \n  23 [size=\"67059712\", alpha=\"0.19\", expect_size=\"33529856\"] \n  24 [size=\"70045696\", alpha=\"0.17\", expect_size=\"35022848\"] \n  25 [size=\"53428224\", alpha=\"0.04\", expect_size=\"26714112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124605440\", alpha=\"0.15\", expect_size=\"49842176\"] \n  1 -> 21 [size =\"49842176\"]\n  1 -> 22 [size =\"49842176\"]\n  1 -> 24 [size =\"49842176\"]\n  1 -> 25 [size =\"49842176\"]\n  2 [size=\"99901440\", alpha=\"0.08\", expect_size=\"39960576\"] \n  2 -> 21 [size =\"39960576\"]\n  2 -> 22 [size =\"39960576\"]\n  2 -> 23 [size =\"39960576\"]\n  3 [size=\"67217920\", alpha=\"0.03\", expect_size=\"26887168\"] \n  3 -> 21 [size =\"26887168\"]\n  3 -> 22 [size =\"26887168\"]\n  3 -> 24 [size =\"26887168\"]\n  4 [size=\"57638400\", alpha=\"0.10\", expect_size=\"23055360\"] \n  4 -> 21 [size =\"23055360\"]\n  4 -> 23 [size =\"23055360\"]\n  4 -> 24 [size =\"23055360\"]\n  5 [size=\"62745600\", alpha=\"0.05\", expect_size=\"25098240\"] \n  5 -> 23 [size =\"25098240\"]\n  5 -> 24 [size =\"25098240\"]\n  5 -> 24 [size =\"25098240\"]\n  6 [size=\"98659840\", alpha=\"0.13\", expect_size=\"39463936\"] \n  6 -> 24 [size =\"39463936\"]\n  6 -> 25 [size =\"39463936\"]\n  7 [size=\"67143680\", alpha=\"0.04\", expect_size=\"26857472\"] \n  8 [size=\"28480000\", alpha=\"0.08\", expect_size=\"11392000\"] \n  8 -> 22 [size =\"11392000\"]\n  8 -> 24 [size =\"11392000\"]\n  8 -> 25 [size =\"11392000\"]\n  9 [size=\"119462400\", alpha=\"0.05\", expect_size=\"47784960\"] \n  9 -> 20 [size =\"47784960\"]\n  10 [size=\"60590080\", alpha=\"0.02\", expect_size=\"24236032\"] \n  10 -> 24 [size =\"24236032\"]\n  11 [size=\"63872000\", alpha=\"0.14\", expect_size=\"25548800\"] \n  12 [size=\"32522240\", alpha=\"0.14\", expect_size=\"13008896\"] \n  12 -> 24 [size =\"13008896\"]\n  12 -> 25 [size =\"13008896\"]\n  13 [size=\"82557440\", alpha=\"0.19\", expect_size=\"33022976\"] \n  13 -> 25 [size =\"33022976\"]\n  14 [size=\"99968000\", alpha=\"0.01\", expect_size=\"39987200\"] \n  14 -> 20 [size =\"39987200\"]\n  14 -> 21 [size =\"39987200\"]\n  14 -> 23 [size =\"39987200\"]\n  14 -> 24 [size =\"39987200\"]\n  15 [size=\"41072640\", alpha=\"0.04\", expect_size=\"16429056\"] \n  15 -> 20 [size =\"16429056\"]\n  15 -> 25 [size =\"16429056\"]\n  16 [size=\"70786560\", alpha=\"0.05\", expect_size=\"28314624\"] \n  16 -> 21 [size =\"28314624\"]\n  16 -> 24 [size =\"28314624\"]\n  16 -> 25 [size =\"28314624\"]\n  17 [size=\"28124160\", alpha=\"0.05\", expect_size=\"11249664\"] \n  17 -> 24 [size =\"11249664\"]\n  17 -> 24 [size =\"11249664\"]\n  17 -> 25 [size =\"11249664\"]\n  18 [size=\"50053120\", alpha=\"0.12\", expect_size=\"20021248\"] \n  18 -> 20 [size =\"20021248\"]\n  18 -> 24 [size =\"20021248\"]\n  19 [size=\"94371840\", alpha=\"0.10\", expect_size=\"37748736\"] \n  19 -> 20 [size =\"37748736\"]\n  19 -> 25 [size =\"37748736\"]\n  20 [size=\"122572800\", alpha=\"0.11\", expect_size=\"49029120\"] \n  21 [size=\"19174400\", alpha=\"0.11\", expect_size=\"7669760\"] \n  22 [size=\"104611840\", alpha=\"0.06\", expect_size=\"41844736\"] \n  23 [size=\"68720640\", alpha=\"0.10\", expect_size=\"27488256\"] \n  24 [size=\"61516800\", alpha=\"0.01\", expect_size=\"24606720\"] \n  25 [size=\"64721920\", alpha=\"0.01\", expect_size=\"25888768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126568960\", alpha=\"0.12\", expect_size=\"50627584\"] \n  1 -> 4 [size =\"50627584\"]\n  2 [size=\"82903040\", alpha=\"0.15\", expect_size=\"33161216\"] \n  2 -> 3 [size =\"33161216\"]\n  3 [size=\"111600640\", alpha=\"0.06\", expect_size=\"44640256\"] \n  3 -> 5 [size =\"44640256\"]\n  3 -> 6 [size =\"44640256\"]\n  4 [size=\"63275520\", alpha=\"0.06\", expect_size=\"25310208\"] \n  5 [size=\"16307200\", alpha=\"0.17\", expect_size=\"6522880\"] \n  5 -> 7 [size =\"6522880\"]\n  6 [size=\"44820480\", alpha=\"0.00\", expect_size=\"17928192\"] \n  7 [size=\"67750400\", alpha=\"0.12\", expect_size=\"27100160\"] \n  7 -> 8 [size =\"27100160\"]\n  8 [size=\"116526080\", alpha=\"0.16\", expect_size=\"46610432\"] \n  8 -> 9 [size =\"46610432\"]\n  9 [size=\"44789760\", alpha=\"0.04\", expect_size=\"17915904\"] \n  9 -> 10 [size =\"17915904\"]\n  10 [size=\"115573760\", alpha=\"0.09\", expect_size=\"46229504\"] \n  10 -> 11 [size =\"46229504\"]\n  11 [size=\"109035520\", alpha=\"0.11\", expect_size=\"43614208\"] \n  11 -> 12 [size =\"43614208\"]\n  11 -> 13 [size =\"43614208\"]\n  12 [size=\"63183360\", alpha=\"0.18\", expect_size=\"25273344\"] \n  12 -> 14 [size =\"25273344\"]\n  13 [size=\"36492800\", alpha=\"0.14\", expect_size=\"14597120\"] \n  14 [size=\"74769920\", alpha=\"0.05\", expect_size=\"29907968\"] \n  14 -> 15 [size =\"29907968\"]\n  14 -> 16 [size =\"29907968\"]\n  15 [size=\"108408320\", alpha=\"0.12\", expect_size=\"43363328\"] \n  16 [size=\"88939520\", alpha=\"0.02\", expect_size=\"35575808\"] \n  16 -> 17 [size =\"35575808\"]\n  17 [size=\"90293760\", alpha=\"0.12\", expect_size=\"36117504\"] \n  17 -> 18 [size =\"36117504\"]\n  18 [size=\"40737280\", alpha=\"0.15\", expect_size=\"16294912\"] \n  18 -> 19 [size =\"16294912\"]\n  19 [size=\"14740480\", alpha=\"0.00\", expect_size=\"5896192\"] \n  19 -> 20 [size =\"5896192\"]\n  20 [size=\"36165120\", alpha=\"0.08\", expect_size=\"14466048\"] \n  20 -> 21 [size =\"14466048\"]\n  20 -> 22 [size =\"14466048\"]\n  21 [size=\"87229440\", alpha=\"0.15\", expect_size=\"34891776\"] \n  22 [size=\"32092160\", alpha=\"0.13\", expect_size=\"12836864\"] \n  22 -> 23 [size =\"12836864\"]\n  23 [size=\"20467200\", alpha=\"0.09\", expect_size=\"8186880\"] \n  23 -> 24 [size =\"8186880\"]\n  24 [size=\"105182720\", alpha=\"0.12\", expect_size=\"42073088\"] \n  24 -> 25 [size =\"42073088\"]\n  25 [size=\"15900160\", alpha=\"0.17\", expect_size=\"6360064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93556736\", alpha=\"0.02\", expect_size=\"46778368\"] \n  1 -> 12 [size =\"46778368\"]\n  1 -> 14 [size =\"46778368\"]\n  1 -> 17 [size =\"46778368\"]\n  2 [size=\"49606656\", alpha=\"0.04\", expect_size=\"24803328\"] \n  2 -> 16 [size =\"24803328\"]\n  2 -> 17 [size =\"24803328\"]\n  3 [size=\"18106368\", alpha=\"0.11\", expect_size=\"9053184\"] \n  3 -> 16 [size =\"9053184\"]\n  3 -> 17 [size =\"9053184\"]\n  4 [size=\"28628992\", alpha=\"0.18\", expect_size=\"14314496\"] \n  4 -> 12 [size =\"14314496\"]\n  4 -> 15 [size =\"14314496\"]\n  4 -> 16 [size =\"14314496\"]\n  4 -> 17 [size =\"14314496\"]\n  5 [size=\"12089344\", alpha=\"0.06\", expect_size=\"6044672\"] \n  5 -> 12 [size =\"6044672\"]\n  5 -> 15 [size =\"6044672\"]\n  6 [size=\"41512960\", alpha=\"0.05\", expect_size=\"20756480\"] \n  6 -> 13 [size =\"20756480\"]\n  6 -> 15 [size =\"20756480\"]\n  6 -> 16 [size =\"20756480\"]\n  6 -> 17 [size =\"20756480\"]\n  7 [size=\"31037440\", alpha=\"0.12\", expect_size=\"15518720\"] \n  7 -> 12 [size =\"15518720\"]\n  7 -> 15 [size =\"15518720\"]\n  8 [size=\"32315392\", alpha=\"0.15\", expect_size=\"16157696\"] \n  8 -> 11 [size =\"16157696\"]\n  8 -> 12 [size =\"16157696\"]\n  8 -> 14 [size =\"16157696\"]\n  8 -> 16 [size =\"16157696\"]\n  9 [size=\"30724096\", alpha=\"0.13\", expect_size=\"15362048\"] \n  9 -> 16 [size =\"15362048\"]\n  9 -> 17 [size =\"15362048\"]\n  10 [size=\"12097536\", alpha=\"0.17\", expect_size=\"6048768\"] \n  10 -> 16 [size =\"6048768\"]\n  10 -> 17 [size =\"6048768\"]\n  11 [size=\"74033152\", alpha=\"0.06\", expect_size=\"37016576\"] \n  11 -> 19 [size =\"37016576\"]\n  11 -> 23 [size =\"37016576\"]\n  11 -> 24 [size =\"37016576\"]\n  12 [size=\"85334016\", alpha=\"0.18\", expect_size=\"42667008\"] \n  12 -> 18 [size =\"42667008\"]\n  12 -> 20 [size =\"42667008\"]\n  12 -> 21 [size =\"42667008\"]\n  13 [size=\"102469632\", alpha=\"0.02\", expect_size=\"51234816\"] \n  13 -> 18 [size =\"51234816\"]\n  13 -> 20 [size =\"51234816\"]\n  13 -> 21 [size =\"51234816\"]\n  13 -> 25 [size =\"51234816\"]\n  14 [size=\"57759744\", alpha=\"0.16\", expect_size=\"28879872\"] \n  14 -> 18 [size =\"28879872\"]\n  14 -> 19 [size =\"28879872\"]\n  14 -> 20 [size =\"28879872\"]\n  14 -> 22 [size =\"28879872\"]\n  14 -> 23 [size =\"28879872\"]\n  14 -> 24 [size =\"28879872\"]\n  14 -> 25 [size =\"28879872\"]\n  15 [size=\"47251456\", alpha=\"0.16\", expect_size=\"23625728\"] \n  15 -> 18 [size =\"23625728\"]\n  15 -> 21 [size =\"23625728\"]\n  15 -> 24 [size =\"23625728\"]\n  15 -> 25 [size =\"23625728\"]\n  16 [size=\"74057728\", alpha=\"0.01\", expect_size=\"37028864\"] \n  16 -> 19 [size =\"37028864\"]\n  16 -> 22 [size =\"37028864\"]\n  17 [size=\"97605632\", alpha=\"0.01\", expect_size=\"48802816\"] \n  17 -> 22 [size =\"48802816\"]\n  18 [size=\"61472768\", alpha=\"0.17\", expect_size=\"30736384\"] \n  19 [size=\"37240832\", alpha=\"0.09\", expect_size=\"18620416\"] \n  20 [size=\"99588096\", alpha=\"0.18\", expect_size=\"49794048\"] \n  21 [size=\"84574208\", alpha=\"0.04\", expect_size=\"42287104\"] \n  22 [size=\"19578880\", alpha=\"0.18\", expect_size=\"9789440\"] \n  23 [size=\"11597824\", alpha=\"0.14\", expect_size=\"5798912\"] \n  24 [size=\"21090304\", alpha=\"0.14\", expect_size=\"10545152\"] \n  25 [size=\"97333248\", alpha=\"0.14\", expect_size=\"48666624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88551424\", alpha=\"0.02\", expect_size=\"44275712\"] \n  1 -> 2 [size =\"44275712\"]\n  2 [size=\"49317888\", alpha=\"0.08\", expect_size=\"24658944\"] \n  2 -> 3 [size =\"24658944\"]\n  2 -> 4 [size =\"24658944\"]\n  3 [size=\"46311424\", alpha=\"0.05\", expect_size=\"23155712\"] \n  3 -> 6 [size =\"23155712\"]\n  4 [size=\"75282432\", alpha=\"0.16\", expect_size=\"37641216\"] \n  4 -> 5 [size =\"37641216\"]\n  5 [size=\"87535616\", alpha=\"0.17\", expect_size=\"43767808\"] \n  5 -> 7 [size =\"43767808\"]\n  5 -> 8 [size =\"43767808\"]\n  6 [size=\"88612864\", alpha=\"0.08\", expect_size=\"44306432\"] \n  6 -> 7 [size =\"44306432\"]\n  6 -> 8 [size =\"44306432\"]\n  7 [size=\"73932800\", alpha=\"0.01\", expect_size=\"36966400\"] \n  8 [size=\"45748224\", alpha=\"0.06\", expect_size=\"22874112\"] \n  8 -> 9 [size =\"22874112\"]\n  8 -> 10 [size =\"22874112\"]\n  9 [size=\"65816576\", alpha=\"0.06\", expect_size=\"32908288\"] \n  9 -> 11 [size =\"32908288\"]\n  10 [size=\"48936960\", alpha=\"0.15\", expect_size=\"24468480\"] \n  10 -> 11 [size =\"24468480\"]\n  10 -> 12 [size =\"24468480\"]\n  11 [size=\"82262016\", alpha=\"0.20\", expect_size=\"41131008\"] \n  11 -> 14 [size =\"41131008\"]\n  12 [size=\"93890560\", alpha=\"0.16\", expect_size=\"46945280\"] \n  12 -> 13 [size =\"46945280\"]\n  12 -> 14 [size =\"46945280\"]\n  13 [size=\"39090176\", alpha=\"0.11\", expect_size=\"19545088\"] \n  13 -> 15 [size =\"19545088\"]\n  14 [size=\"64698368\", alpha=\"0.13\", expect_size=\"32349184\"] \n  14 -> 15 [size =\"32349184\"]\n  15 [size=\"47517696\", alpha=\"0.09\", expect_size=\"23758848\"] \n  15 -> 16 [size =\"23758848\"]\n  16 [size=\"34050048\", alpha=\"0.00\", expect_size=\"17025024\"] \n  16 -> 17 [size =\"17025024\"]\n  17 [size=\"70320128\", alpha=\"0.03\", expect_size=\"35160064\"] \n  17 -> 18 [size =\"35160064\"]\n  17 -> 19 [size =\"35160064\"]\n  18 [size=\"73041920\", alpha=\"0.11\", expect_size=\"36520960\"] \n  18 -> 20 [size =\"36520960\"]\n  19 [size=\"100265984\", alpha=\"0.17\", expect_size=\"50132992\"] \n  19 -> 20 [size =\"50132992\"]\n  20 [size=\"33722368\", alpha=\"0.10\", expect_size=\"16861184\"] \n  20 -> 21 [size =\"16861184\"]\n  20 -> 22 [size =\"16861184\"]\n  21 [size=\"104030208\", alpha=\"0.20\", expect_size=\"52015104\"] \n  22 [size=\"101857280\", alpha=\"0.18\", expect_size=\"50928640\"] \n  22 -> 23 [size =\"50928640\"]\n  23 [size=\"85184512\", alpha=\"0.04\", expect_size=\"42592256\"] \n  23 -> 24 [size =\"42592256\"]\n  24 [size=\"41584640\", alpha=\"0.03\", expect_size=\"20792320\"] \n  24 -> 25 [size =\"20792320\"]\n  25 [size=\"10655744\", alpha=\"0.19\", expect_size=\"5327872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45475840\", alpha=\"0.04\", expect_size=\"22737920\"] \n  2 [size=\"11218944\", alpha=\"0.06\", expect_size=\"5609472\"] \n  2 -> 25 [size =\"5609472\"]\n  3 [size=\"49113088\", alpha=\"0.05\", expect_size=\"24556544\"] \n  3 -> 24 [size =\"24556544\"]\n  3 -> 25 [size =\"24556544\"]\n  4 [size=\"27553792\", alpha=\"0.08\", expect_size=\"13776896\"] \n  4 -> 23 [size =\"13776896\"]\n  4 -> 25 [size =\"13776896\"]\n  5 [size=\"91985920\", alpha=\"0.14\", expect_size=\"45992960\"] \n  5 -> 24 [size =\"45992960\"]\n  6 [size=\"43653120\", alpha=\"0.09\", expect_size=\"21826560\"] \n  7 [size=\"62531584\", alpha=\"0.06\", expect_size=\"31265792\"] \n  7 -> 24 [size =\"31265792\"]\n  8 [size=\"21497856\", alpha=\"0.14\", expect_size=\"10748928\"] \n  8 -> 23 [size =\"10748928\"]\n  8 -> 24 [size =\"10748928\"]\n  8 -> 25 [size =\"10748928\"]\n  9 [size=\"19963904\", alpha=\"0.10\", expect_size=\"9981952\"] \n  9 -> 24 [size =\"9981952\"]\n  10 [size=\"98988032\", alpha=\"0.05\", expect_size=\"49494016\"] \n  10 -> 23 [size =\"49494016\"]\n  11 [size=\"36401152\", alpha=\"0.18\", expect_size=\"18200576\"] \n  11 -> 24 [size =\"18200576\"]\n  12 [size=\"56367104\", alpha=\"0.06\", expect_size=\"28183552\"] \n  12 -> 25 [size =\"28183552\"]\n  13 [size=\"83750912\", alpha=\"0.04\", expect_size=\"41875456\"] \n  13 -> 24 [size =\"41875456\"]\n  13 -> 25 [size =\"41875456\"]\n  14 [size=\"11087872\", alpha=\"0.00\", expect_size=\"5543936\"] \n  14 -> 23 [size =\"5543936\"]\n  14 -> 24 [size =\"5543936\"]\n  15 [size=\"50976768\", alpha=\"0.07\", expect_size=\"25488384\"] \n  15 -> 23 [size =\"25488384\"]\n  15 -> 24 [size =\"25488384\"]\n  16 [size=\"23957504\", alpha=\"0.10\", expect_size=\"11978752\"] \n  16 -> 23 [size =\"11978752\"]\n  16 -> 24 [size =\"11978752\"]\n  17 [size=\"65806336\", alpha=\"0.18\", expect_size=\"32903168\"] \n  17 -> 23 [size =\"32903168\"]\n  17 -> 24 [size =\"32903168\"]\n  18 [size=\"96049152\", alpha=\"0.02\", expect_size=\"48024576\"] \n  18 -> 23 [size =\"48024576\"]\n  18 -> 24 [size =\"48024576\"]\n  19 [size=\"70012928\", alpha=\"0.12\", expect_size=\"35006464\"] \n  19 -> 23 [size =\"35006464\"]\n  19 -> 24 [size =\"35006464\"]\n  19 -> 25 [size =\"35006464\"]\n  20 [size=\"22390784\", alpha=\"0.02\", expect_size=\"11195392\"] \n  20 -> 23 [size =\"11195392\"]\n  20 -> 24 [size =\"11195392\"]\n  20 -> 25 [size =\"11195392\"]\n  21 [size=\"45907968\", alpha=\"0.19\", expect_size=\"22953984\"] \n  21 -> 24 [size =\"22953984\"]\n  22 [size=\"37754880\", alpha=\"0.17\", expect_size=\"18877440\"] \n  22 -> 23 [size =\"18877440\"]\n  22 -> 25 [size =\"18877440\"]\n  23 [size=\"63856640\", alpha=\"0.03\", expect_size=\"31928320\"] \n  24 [size=\"82845696\", alpha=\"0.12\", expect_size=\"41422848\"] \n  25 [size=\"83308544\", alpha=\"0.19\", expect_size=\"41654272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102090752\", alpha=\"0.07\", expect_size=\"51045376\"] \n  1 -> 23 [size =\"51045376\"]\n  2 [size=\"37068800\", alpha=\"0.19\", expect_size=\"18534400\"] \n  2 -> 23 [size =\"18534400\"]\n  3 [size=\"38178816\", alpha=\"0.00\", expect_size=\"19089408\"] \n  3 -> 23 [size =\"19089408\"]\n  3 -> 25 [size =\"19089408\"]\n  4 [size=\"44343296\", alpha=\"0.16\", expect_size=\"22171648\"] \n  4 -> 22 [size =\"22171648\"]\n  4 -> 24 [size =\"22171648\"]\n  5 [size=\"93526016\", alpha=\"0.01\", expect_size=\"46763008\"] \n  5 -> 23 [size =\"46763008\"]\n  5 -> 25 [size =\"46763008\"]\n  6 [size=\"103854080\", alpha=\"0.03\", expect_size=\"51927040\"] \n  6 -> 23 [size =\"51927040\"]\n  6 -> 25 [size =\"51927040\"]\n  7 [size=\"11991040\", alpha=\"0.17\", expect_size=\"5995520\"] \n  7 -> 22 [size =\"5995520\"]\n  8 [size=\"59312128\", alpha=\"0.01\", expect_size=\"29656064\"] \n  8 -> 22 [size =\"29656064\"]\n  8 -> 24 [size =\"29656064\"]\n  9 [size=\"101582848\", alpha=\"0.16\", expect_size=\"50791424\"] \n  9 -> 24 [size =\"50791424\"]\n  9 -> 25 [size =\"50791424\"]\n  10 [size=\"33581056\", alpha=\"0.13\", expect_size=\"16790528\"] \n  10 -> 23 [size =\"16790528\"]\n  11 [size=\"40161280\", alpha=\"0.18\", expect_size=\"20080640\"] \n  11 -> 23 [size =\"20080640\"]\n  12 [size=\"73199616\", alpha=\"0.06\", expect_size=\"36599808\"] \n  12 -> 23 [size =\"36599808\"]\n  13 [size=\"70225920\", alpha=\"0.16\", expect_size=\"35112960\"] \n  14 [size=\"72548352\", alpha=\"0.08\", expect_size=\"36274176\"] \n  14 -> 25 [size =\"36274176\"]\n  15 [size=\"52275200\", alpha=\"0.00\", expect_size=\"26137600\"] \n  15 -> 24 [size =\"26137600\"]\n  15 -> 25 [size =\"26137600\"]\n  16 [size=\"55623680\", alpha=\"0.19\", expect_size=\"27811840\"] \n  16 -> 22 [size =\"27811840\"]\n  16 -> 24 [size =\"27811840\"]\n  16 -> 25 [size =\"27811840\"]\n  17 [size=\"67770368\", alpha=\"0.19\", expect_size=\"33885184\"] \n  17 -> 24 [size =\"33885184\"]\n  17 -> 25 [size =\"33885184\"]\n  18 [size=\"54628352\", alpha=\"0.10\", expect_size=\"27314176\"] \n  18 -> 23 [size =\"27314176\"]\n  19 [size=\"61370368\", alpha=\"0.07\", expect_size=\"30685184\"] \n  19 -> 25 [size =\"30685184\"]\n  20 [size=\"40159232\", alpha=\"0.19\", expect_size=\"20079616\"] \n  20 -> 23 [size =\"20079616\"]\n  21 [size=\"100147200\", alpha=\"0.10\", expect_size=\"50073600\"] \n  21 -> 24 [size =\"50073600\"]\n  22 [size=\"91330560\", alpha=\"0.07\", expect_size=\"45665280\"] \n  23 [size=\"23930880\", alpha=\"0.10\", expect_size=\"11965440\"] \n  24 [size=\"100282368\", alpha=\"0.00\", expect_size=\"50141184\"] \n  25 [size=\"44292096\", alpha=\"0.08\", expect_size=\"22146048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52679680\", alpha=\"0.09\", expect_size=\"21071872\"] \n  1 -> 24 [size =\"21071872\"]\n  1 -> 25 [size =\"21071872\"]\n  2 [size=\"109898240\", alpha=\"0.08\", expect_size=\"43959296\"] \n  2 -> 20 [size =\"43959296\"]\n  2 -> 21 [size =\"43959296\"]\n  2 -> 25 [size =\"43959296\"]\n  3 [size=\"110988800\", alpha=\"0.12\", expect_size=\"44395520\"] \n  3 -> 21 [size =\"44395520\"]\n  4 [size=\"122298880\", alpha=\"0.17\", expect_size=\"48919552\"] \n  4 -> 20 [size =\"48919552\"]\n  4 -> 21 [size =\"48919552\"]\n  4 -> 23 [size =\"48919552\"]\n  5 [size=\"119577600\", alpha=\"0.15\", expect_size=\"47831040\"] \n  5 -> 19 [size =\"47831040\"]\n  5 -> 20 [size =\"47831040\"]\n  5 -> 22 [size =\"47831040\"]\n  6 [size=\"25210880\", alpha=\"0.14\", expect_size=\"10084352\"] \n  7 [size=\"49768960\", alpha=\"0.17\", expect_size=\"19907584\"] \n  7 -> 19 [size =\"19907584\"]\n  7 -> 20 [size =\"19907584\"]\n  8 [size=\"124426240\", alpha=\"0.18\", expect_size=\"49770496\"] \n  8 -> 21 [size =\"49770496\"]\n  8 -> 25 [size =\"49770496\"]\n  9 [size=\"57582080\", alpha=\"0.15\", expect_size=\"23032832\"] \n  9 -> 19 [size =\"23032832\"]\n  9 -> 21 [size =\"23032832\"]\n  9 -> 23 [size =\"23032832\"]\n  10 [size=\"48839680\", alpha=\"0.06\", expect_size=\"19535872\"] \n  10 -> 21 [size =\"19535872\"]\n  10 -> 23 [size =\"19535872\"]\n  10 -> 25 [size =\"19535872\"]\n  11 [size=\"101701120\", alpha=\"0.19\", expect_size=\"40680448\"] \n  11 -> 21 [size =\"40680448\"]\n  11 -> 22 [size =\"40680448\"]\n  12 [size=\"38702080\", alpha=\"0.03\", expect_size=\"15480832\"] \n  12 -> 19 [size =\"15480832\"]\n  12 -> 21 [size =\"15480832\"]\n  12 -> 22 [size =\"15480832\"]\n  12 -> 23 [size =\"15480832\"]\n  13 [size=\"84072960\", alpha=\"0.03\", expect_size=\"33629184\"] \n  13 -> 22 [size =\"33629184\"]\n  13 -> 25 [size =\"33629184\"]\n  14 [size=\"36272640\", alpha=\"0.19\", expect_size=\"14509056\"] \n  14 -> 20 [size =\"14509056\"]\n  14 -> 22 [size =\"14509056\"]\n  15 [size=\"19038720\", alpha=\"0.04\", expect_size=\"7615488\"] \n  15 -> 20 [size =\"7615488\"]\n  15 -> 23 [size =\"7615488\"]\n  16 [size=\"109601280\", alpha=\"0.11\", expect_size=\"43840512\"] \n  16 -> 23 [size =\"43840512\"]\n  17 [size=\"74104320\", alpha=\"0.11\", expect_size=\"29641728\"] \n  17 -> 19 [size =\"29641728\"]\n  17 -> 22 [size =\"29641728\"]\n  17 -> 25 [size =\"29641728\"]\n  18 [size=\"56862720\", alpha=\"0.14\", expect_size=\"22745088\"] \n  19 [size=\"43141120\", alpha=\"0.12\", expect_size=\"17256448\"] \n  20 [size=\"16545280\", alpha=\"0.12\", expect_size=\"6618112\"] \n  21 [size=\"50286080\", alpha=\"0.19\", expect_size=\"20114432\"] \n  22 [size=\"44541440\", alpha=\"0.02\", expect_size=\"17816576\"] \n  23 [size=\"61120000\", alpha=\"0.02\", expect_size=\"24448000\"] \n  24 [size=\"81323520\", alpha=\"0.20\", expect_size=\"32529408\"] \n  25 [size=\"76705280\", alpha=\"0.16\", expect_size=\"30682112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140574720\", alpha=\"0.18\", expect_size=\"42172416\"] \n  1 -> 4 [size =\"42172416\"]\n  2 [size=\"174407680\", alpha=\"0.04\", expect_size=\"52322304\"] \n  2 -> 3 [size =\"52322304\"]\n  3 [size=\"26108587\", alpha=\"0.07\", expect_size=\"7832576\"] \n  4 [size=\"115466240\", alpha=\"0.00\", expect_size=\"34639872\"] \n  4 -> 5 [size =\"34639872\"]\n  5 [size=\"159713280\", alpha=\"0.11\", expect_size=\"47913984\"] \n  5 -> 6 [size =\"47913984\"]\n  5 -> 7 [size =\"47913984\"]\n  6 [size=\"54155947\", alpha=\"0.04\", expect_size=\"16246784\"] \n  6 -> 9 [size =\"16246784\"]\n  7 [size=\"128972800\", alpha=\"0.16\", expect_size=\"38691840\"] \n  7 -> 8 [size =\"38691840\"]\n  7 -> 9 [size =\"38691840\"]\n  8 [size=\"120920747\", alpha=\"0.04\", expect_size=\"36276224\"] \n  8 -> 10 [size =\"36276224\"]\n  8 -> 11 [size =\"36276224\"]\n  9 [size=\"45329067\", alpha=\"0.18\", expect_size=\"13598720\"] \n  9 -> 11 [size =\"13598720\"]\n  10 [size=\"124504747\", alpha=\"0.09\", expect_size=\"37351424\"] \n  11 [size=\"21497173\", alpha=\"0.10\", expect_size=\"6449152\"] \n  11 -> 12 [size =\"6449152\"]\n  12 [size=\"159546027\", alpha=\"0.06\", expect_size=\"47863808\"] \n  12 -> 13 [size =\"47863808\"]\n  13 [size=\"32651947\", alpha=\"0.00\", expect_size=\"9795584\"] \n  13 -> 14 [size =\"9795584\"]\n  13 -> 15 [size =\"9795584\"]\n  14 [size=\"88500907\", alpha=\"0.04\", expect_size=\"26550272\"] \n  15 [size=\"90873173\", alpha=\"0.17\", expect_size=\"27261952\"] \n  15 -> 16 [size =\"27261952\"]\n  16 [size=\"21568853\", alpha=\"0.10\", expect_size=\"6470656\"] \n  16 -> 17 [size =\"6470656\"]\n  16 -> 18 [size =\"6470656\"]\n  17 [size=\"56309760\", alpha=\"0.19\", expect_size=\"16892928\"] \n  17 -> 19 [size =\"16892928\"]\n  17 -> 20 [size =\"16892928\"]\n  18 [size=\"24671573\", alpha=\"0.10\", expect_size=\"7401472\"] \n  18 -> 20 [size =\"7401472\"]\n  19 [size=\"52538027\", alpha=\"0.03\", expect_size=\"15761408\"] \n  20 [size=\"40584533\", alpha=\"0.08\", expect_size=\"12175360\"] \n  20 -> 21 [size =\"12175360\"]\n  20 -> 22 [size =\"12175360\"]\n  21 [size=\"111025493\", alpha=\"0.08\", expect_size=\"33307648\"] \n  21 -> 23 [size =\"33307648\"]\n  21 -> 24 [size =\"33307648\"]\n  22 [size=\"35874133\", alpha=\"0.08\", expect_size=\"10762240\"] \n  22 -> 24 [size =\"10762240\"]\n  23 [size=\"80947200\", alpha=\"0.10\", expect_size=\"24284160\"] \n  24 [size=\"82476373\", alpha=\"0.04\", expect_size=\"24742912\"] \n  24 -> 25 [size =\"24742912\"]\n  25 [size=\"112274773\", alpha=\"0.16\", expect_size=\"33682432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69550080\", alpha=\"0.15\", expect_size=\"34775040\"] \n  1 -> 5 [size =\"34775040\"]\n  1 -> 6 [size =\"34775040\"]\n  2 [size=\"88047616\", alpha=\"0.02\", expect_size=\"44023808\"] \n  2 -> 6 [size =\"44023808\"]\n  3 [size=\"40878080\", alpha=\"0.19\", expect_size=\"20439040\"] \n  3 -> 4 [size =\"20439040\"]\n  3 -> 5 [size =\"20439040\"]\n  4 [size=\"48125952\", alpha=\"0.12\", expect_size=\"24062976\"] \n  4 -> 7 [size =\"24062976\"]\n  4 -> 9 [size =\"24062976\"]\n  4 -> 10 [size =\"24062976\"]\n  5 [size=\"41555968\", alpha=\"0.12\", expect_size=\"20777984\"] \n  5 -> 9 [size =\"20777984\"]\n  6 [size=\"65884160\", alpha=\"0.03\", expect_size=\"32942080\"] \n  6 -> 8 [size =\"32942080\"]\n  7 [size=\"50352128\", alpha=\"0.07\", expect_size=\"25176064\"] \n  7 -> 11 [size =\"25176064\"]\n  7 -> 13 [size =\"25176064\"]\n  8 [size=\"26779648\", alpha=\"0.11\", expect_size=\"13389824\"] \n  8 -> 11 [size =\"13389824\"]\n  8 -> 12 [size =\"13389824\"]\n  9 [size=\"72550400\", alpha=\"0.20\", expect_size=\"36275200\"] \n  9 -> 13 [size =\"36275200\"]\n  10 [size=\"19970048\", alpha=\"0.16\", expect_size=\"9985024\"] \n  10 -> 11 [size =\"9985024\"]\n  10 -> 13 [size =\"9985024\"]\n  11 [size=\"63815680\", alpha=\"0.11\", expect_size=\"31907840\"] \n  11 -> 14 [size =\"31907840\"]\n  11 -> 16 [size =\"31907840\"]\n  12 [size=\"41285632\", alpha=\"0.09\", expect_size=\"20642816\"] \n  12 -> 14 [size =\"20642816\"]\n  13 [size=\"52801536\", alpha=\"0.13\", expect_size=\"26400768\"] \n  13 -> 15 [size =\"26400768\"]\n  14 [size=\"46303232\", alpha=\"0.10\", expect_size=\"23151616\"] \n  14 -> 17 [size =\"23151616\"]\n  14 -> 19 [size =\"23151616\"]\n  14 -> 20 [size =\"23151616\"]\n  15 [size=\"101076992\", alpha=\"0.13\", expect_size=\"50538496\"] \n  15 -> 18 [size =\"50538496\"]\n  15 -> 19 [size =\"50538496\"]\n  16 [size=\"65181696\", alpha=\"0.15\", expect_size=\"32590848\"] \n  16 -> 17 [size =\"32590848\"]\n  16 -> 19 [size =\"32590848\"]\n  17 [size=\"77201408\", alpha=\"0.00\", expect_size=\"38600704\"] \n  17 -> 22 [size =\"38600704\"]\n  17 -> 23 [size =\"38600704\"]\n  17 -> 24 [size =\"38600704\"]\n  18 [size=\"15792128\", alpha=\"0.19\", expect_size=\"7896064\"] \n  18 -> 21 [size =\"7896064\"]\n  18 -> 23 [size =\"7896064\"]\n  19 [size=\"66170880\", alpha=\"0.10\", expect_size=\"33085440\"] \n  19 -> 21 [size =\"33085440\"]\n  19 -> 24 [size =\"33085440\"]\n  20 [size=\"63852544\", alpha=\"0.18\", expect_size=\"31926272\"] \n  20 -> 24 [size =\"31926272\"]\n  21 [size=\"42962944\", alpha=\"0.19\", expect_size=\"21481472\"] \n  22 [size=\"93683712\", alpha=\"0.16\", expect_size=\"46841856\"] \n  23 [size=\"40929280\", alpha=\"0.20\", expect_size=\"20464640\"] \n  23 -> 25 [size =\"20464640\"]\n  24 [size=\"100962304\", alpha=\"0.11\", expect_size=\"50481152\"] \n  24 -> 25 [size =\"50481152\"]\n  25 [size=\"54929408\", alpha=\"0.10\", expect_size=\"27464704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34327893\", alpha=\"0.14\", expect_size=\"10298368\"] \n  1 -> 2 [size =\"10298368\"]\n  2 [size=\"26862933\", alpha=\"0.04\", expect_size=\"8058880\"] \n  2 -> 3 [size =\"8058880\"]\n  3 [size=\"169403733\", alpha=\"0.08\", expect_size=\"50821120\"] \n  3 -> 4 [size =\"50821120\"]\n  4 [size=\"25903787\", alpha=\"0.05\", expect_size=\"7771136\"] \n  4 -> 5 [size =\"7771136\"]\n  5 [size=\"30972587\", alpha=\"0.09\", expect_size=\"9291776\"] \n  5 -> 6 [size =\"9291776\"]\n  6 [size=\"20961280\", alpha=\"0.03\", expect_size=\"6288384\"] \n  6 -> 7 [size =\"6288384\"]\n  7 [size=\"54923947\", alpha=\"0.19\", expect_size=\"16477184\"] \n  7 -> 8 [size =\"16477184\"]\n  8 [size=\"74731520\", alpha=\"0.18\", expect_size=\"22419456\"] \n  8 -> 9 [size =\"22419456\"]\n  9 [size=\"39546880\", alpha=\"0.07\", expect_size=\"11864064\"] \n  9 -> 10 [size =\"11864064\"]\n  10 [size=\"161996800\", alpha=\"0.04\", expect_size=\"48599040\"] \n  10 -> 11 [size =\"48599040\"]\n  11 [size=\"169748480\", alpha=\"0.02\", expect_size=\"50924544\"] \n  11 -> 12 [size =\"50924544\"]\n  12 [size=\"121859413\", alpha=\"0.08\", expect_size=\"36557824\"] \n  12 -> 13 [size =\"36557824\"]\n  13 [size=\"154572800\", alpha=\"0.11\", expect_size=\"46371840\"] \n  13 -> 14 [size =\"46371840\"]\n  14 [size=\"59552427\", alpha=\"0.20\", expect_size=\"17865728\"] \n  14 -> 15 [size =\"17865728\"]\n  15 [size=\"95716693\", alpha=\"0.00\", expect_size=\"28715008\"] \n  15 -> 16 [size =\"28715008\"]\n  16 [size=\"170212693\", alpha=\"0.06\", expect_size=\"51063808\"] \n  16 -> 17 [size =\"51063808\"]\n  17 [size=\"32969387\", alpha=\"0.07\", expect_size=\"9890816\"] \n  17 -> 18 [size =\"9890816\"]\n  18 [size=\"23913813\", alpha=\"0.14\", expect_size=\"7174144\"] \n  18 -> 19 [size =\"7174144\"]\n  19 [size=\"162549760\", alpha=\"0.10\", expect_size=\"48764928\"] \n  19 -> 20 [size =\"48764928\"]\n  20 [size=\"63341227\", alpha=\"0.16\", expect_size=\"19002368\"] \n  20 -> 21 [size =\"19002368\"]\n  21 [size=\"97181013\", alpha=\"0.04\", expect_size=\"29154304\"] \n  21 -> 22 [size =\"29154304\"]\n  22 [size=\"109298347\", alpha=\"0.14\", expect_size=\"32789504\"] \n  22 -> 23 [size =\"32789504\"]\n  23 [size=\"172414293\", alpha=\"0.03\", expect_size=\"51724288\"] \n  23 -> 24 [size =\"51724288\"]\n  24 [size=\"100290560\", alpha=\"0.13\", expect_size=\"30087168\"] \n  24 -> 25 [size =\"30087168\"]\n  25 [size=\"100020907\", alpha=\"0.04\", expect_size=\"30006272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27770880\", alpha=\"0.15\", expect_size=\"13885440\"] \n  1 -> 8 [size =\"13885440\"]\n  1 -> 13 [size =\"13885440\"]\n  1 -> 15 [size =\"13885440\"]\n  2 [size=\"71792640\", alpha=\"0.02\", expect_size=\"35896320\"] \n  2 -> 6 [size =\"35896320\"]\n  2 -> 8 [size =\"35896320\"]\n  2 -> 9 [size =\"35896320\"]\n  2 -> 10 [size =\"35896320\"]\n  2 -> 11 [size =\"35896320\"]\n  2 -> 12 [size =\"35896320\"]\n  3 [size=\"86446080\", alpha=\"0.00\", expect_size=\"43223040\"] \n  3 -> 6 [size =\"43223040\"]\n  3 -> 8 [size =\"43223040\"]\n  3 -> 9 [size =\"43223040\"]\n  3 -> 13 [size =\"43223040\"]\n  3 -> 15 [size =\"43223040\"]\n  4 [size=\"89368576\", alpha=\"0.01\", expect_size=\"44684288\"] \n  4 -> 6 [size =\"44684288\"]\n  4 -> 7 [size =\"44684288\"]\n  4 -> 9 [size =\"44684288\"]\n  4 -> 12 [size =\"44684288\"]\n  4 -> 13 [size =\"44684288\"]\n  4 -> 14 [size =\"44684288\"]\n  5 [size=\"73289728\", alpha=\"0.13\", expect_size=\"36644864\"] \n  5 -> 7 [size =\"36644864\"]\n  6 [size=\"32860160\", alpha=\"0.18\", expect_size=\"16430080\"] \n  6 -> 17 [size =\"16430080\"]\n  7 [size=\"52187136\", alpha=\"0.10\", expect_size=\"26093568\"] \n  7 -> 17 [size =\"26093568\"]\n  7 -> 19 [size =\"26093568\"]\n  7 -> 20 [size =\"26093568\"]\n  8 [size=\"15908864\", alpha=\"0.12\", expect_size=\"7954432\"] \n  8 -> 16 [size =\"7954432\"]\n  8 -> 18 [size =\"7954432\"]\n  8 -> 19 [size =\"7954432\"]\n  8 -> 20 [size =\"7954432\"]\n  9 [size=\"32616448\", alpha=\"0.19\", expect_size=\"16308224\"] \n  9 -> 16 [size =\"16308224\"]\n  10 [size=\"43997184\", alpha=\"0.04\", expect_size=\"21998592\"] \n  10 -> 17 [size =\"21998592\"]\n  10 -> 21 [size =\"21998592\"]\n  11 [size=\"18044928\", alpha=\"0.20\", expect_size=\"9022464\"] \n  11 -> 17 [size =\"9022464\"]\n  11 -> 18 [size =\"9022464\"]\n  11 -> 20 [size =\"9022464\"]\n  11 -> 21 [size =\"9022464\"]\n  11 -> 22 [size =\"9022464\"]\n  12 [size=\"88909824\", alpha=\"0.07\", expect_size=\"44454912\"] \n  12 -> 19 [size =\"44454912\"]\n  12 -> 20 [size =\"44454912\"]\n  13 [size=\"98514944\", alpha=\"0.07\", expect_size=\"49257472\"] \n  13 -> 16 [size =\"49257472\"]\n  13 -> 18 [size =\"49257472\"]\n  13 -> 19 [size =\"49257472\"]\n  14 [size=\"99833856\", alpha=\"0.02\", expect_size=\"49916928\"] \n  14 -> 16 [size =\"49916928\"]\n  14 -> 17 [size =\"49916928\"]\n  14 -> 19 [size =\"49916928\"]\n  14 -> 20 [size =\"49916928\"]\n  15 [size=\"103604224\", alpha=\"0.12\", expect_size=\"51802112\"] \n  15 -> 18 [size =\"51802112\"]\n  16 [size=\"71213056\", alpha=\"0.04\", expect_size=\"35606528\"] \n  17 [size=\"59912192\", alpha=\"0.06\", expect_size=\"29956096\"] \n  17 -> 25 [size =\"29956096\"]\n  18 [size=\"12810240\", alpha=\"0.02\", expect_size=\"6405120\"] \n  18 -> 24 [size =\"6405120\"]\n  19 [size=\"67350528\", alpha=\"0.11\", expect_size=\"33675264\"] \n  20 [size=\"60780544\", alpha=\"0.12\", expect_size=\"30390272\"] \n  21 [size=\"81760256\", alpha=\"0.18\", expect_size=\"40880128\"] \n  22 [size=\"81440768\", alpha=\"0.16\", expect_size=\"40720384\"] \n  22 -> 23 [size =\"40720384\"]\n  22 -> 25 [size =\"40720384\"]\n  23 [size=\"20078592\", alpha=\"0.11\", expect_size=\"10039296\"] \n  24 [size=\"50817024\", alpha=\"0.02\", expect_size=\"25408512\"] \n  25 [size=\"62328832\", alpha=\"0.06\", expect_size=\"31164416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59745280\", alpha=\"0.11\", expect_size=\"23898112\"] \n  2 [size=\"38315520\", alpha=\"0.05\", expect_size=\"15326208\"] \n  2 -> 25 [size =\"15326208\"]\n  3 [size=\"126525440\", alpha=\"0.06\", expect_size=\"50610176\"] \n  3 -> 20 [size =\"50610176\"]\n  3 -> 21 [size =\"50610176\"]\n  3 -> 25 [size =\"50610176\"]\n  4 [size=\"48092160\", alpha=\"0.09\", expect_size=\"19236864\"] \n  4 -> 20 [size =\"19236864\"]\n  4 -> 24 [size =\"19236864\"]\n  4 -> 25 [size =\"19236864\"]\n  5 [size=\"104627200\", alpha=\"0.11\", expect_size=\"41850880\"] \n  5 -> 23 [size =\"41850880\"]\n  5 -> 25 [size =\"41850880\"]\n  5 -> 25 [size =\"41850880\"]\n  6 [size=\"70873600\", alpha=\"0.11\", expect_size=\"28349440\"] \n  6 -> 24 [size =\"28349440\"]\n  6 -> 25 [size =\"28349440\"]\n  7 [size=\"103936000\", alpha=\"0.17\", expect_size=\"41574400\"] \n  7 -> 20 [size =\"41574400\"]\n  8 [size=\"110069760\", alpha=\"0.00\", expect_size=\"44027904\"] \n  8 -> 20 [size =\"44027904\"]\n  8 -> 23 [size =\"44027904\"]\n  8 -> 25 [size =\"44027904\"]\n  9 [size=\"94656000\", alpha=\"0.18\", expect_size=\"37862400\"] \n  9 -> 20 [size =\"37862400\"]\n  9 -> 21 [size =\"37862400\"]\n  9 -> 22 [size =\"37862400\"]\n  9 -> 23 [size =\"37862400\"]\n  9 -> 24 [size =\"37862400\"]\n  10 [size=\"80163840\", alpha=\"0.15\", expect_size=\"32065536\"] \n  10 -> 20 [size =\"32065536\"]\n  10 -> 23 [size =\"32065536\"]\n  11 [size=\"76216320\", alpha=\"0.02\", expect_size=\"30486528\"] \n  11 -> 20 [size =\"30486528\"]\n  11 -> 22 [size =\"30486528\"]\n  11 -> 23 [size =\"30486528\"]\n  12 [size=\"23221760\", alpha=\"0.12\", expect_size=\"9288704\"] \n  12 -> 20 [size =\"9288704\"]\n  12 -> 23 [size =\"9288704\"]\n  12 -> 23 [size =\"9288704\"]\n  13 [size=\"51450880\", alpha=\"0.07\", expect_size=\"20580352\"] \n  13 -> 20 [size =\"20580352\"]\n  13 -> 23 [size =\"20580352\"]\n  13 -> 25 [size =\"20580352\"]\n  14 [size=\"89625600\", alpha=\"0.14\", expect_size=\"35850240\"] \n  14 -> 20 [size =\"35850240\"]\n  15 [size=\"23490560\", alpha=\"0.03\", expect_size=\"9396224\"] \n  15 -> 20 [size =\"9396224\"]\n  15 -> 22 [size =\"9396224\"]\n  16 [size=\"85882880\", alpha=\"0.14\", expect_size=\"34353152\"] \n  16 -> 24 [size =\"34353152\"]\n  17 [size=\"34124800\", alpha=\"0.13\", expect_size=\"13649920\"] \n  17 -> 24 [size =\"13649920\"]\n  18 [size=\"16225280\", alpha=\"0.13\", expect_size=\"6490112\"] \n  18 -> 20 [size =\"6490112\"]\n  18 -> 23 [size =\"6490112\"]\n  18 -> 24 [size =\"6490112\"]\n  19 [size=\"18250240\", alpha=\"0.02\", expect_size=\"7300096\"] \n  19 -> 20 [size =\"7300096\"]\n  19 -> 23 [size =\"7300096\"]\n  20 [size=\"126886400\", alpha=\"0.15\", expect_size=\"50754560\"] \n  21 [size=\"98398720\", alpha=\"0.16\", expect_size=\"39359488\"] \n  22 [size=\"113006080\", alpha=\"0.01\", expect_size=\"45202432\"] \n  23 [size=\"65438720\", alpha=\"0.06\", expect_size=\"26175488\"] \n  24 [size=\"108805120\", alpha=\"0.16\", expect_size=\"43522048\"] \n  25 [size=\"71488000\", alpha=\"0.02\", expect_size=\"28595200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68375893\", alpha=\"0.19\", expect_size=\"20512768\"] \n  1 -> 4 [size =\"20512768\"]\n  1 -> 5 [size =\"20512768\"]\n  1 -> 7 [size =\"20512768\"]\n  2 [size=\"70297600\", alpha=\"0.12\", expect_size=\"21089280\"] \n  2 -> 6 [size =\"21089280\"]\n  2 -> 7 [size =\"21089280\"]\n  3 [size=\"22995627\", alpha=\"0.17\", expect_size=\"6898688\"] \n  3 -> 5 [size =\"6898688\"]\n  3 -> 6 [size =\"6898688\"]\n  4 [size=\"156364800\", alpha=\"0.08\", expect_size=\"46909440\"] \n  4 -> 8 [size =\"46909440\"]\n  4 -> 9 [size =\"46909440\"]\n  5 [size=\"76363093\", alpha=\"0.12\", expect_size=\"22908928\"] \n  6 [size=\"55497387\", alpha=\"0.08\", expect_size=\"16649216\"] \n  6 -> 10 [size =\"16649216\"]\n  6 -> 11 [size =\"16649216\"]\n  7 [size=\"168741547\", alpha=\"0.07\", expect_size=\"50622464\"] \n  7 -> 8 [size =\"50622464\"]\n  7 -> 10 [size =\"50622464\"]\n  8 [size=\"110233600\", alpha=\"0.17\", expect_size=\"33070080\"] \n  8 -> 14 [size =\"33070080\"]\n  8 -> 15 [size =\"33070080\"]\n  9 [size=\"118370987\", alpha=\"0.17\", expect_size=\"35511296\"] \n  9 -> 12 [size =\"35511296\"]\n  9 -> 13 [size =\"35511296\"]\n  9 -> 15 [size =\"35511296\"]\n  10 [size=\"40127147\", alpha=\"0.00\", expect_size=\"12038144\"] \n  10 -> 12 [size =\"12038144\"]\n  10 -> 15 [size =\"12038144\"]\n  11 [size=\"70232747\", alpha=\"0.02\", expect_size=\"21069824\"] \n  11 -> 14 [size =\"21069824\"]\n  12 [size=\"60177067\", alpha=\"0.04\", expect_size=\"18053120\"] \n  13 [size=\"156716373\", alpha=\"0.19\", expect_size=\"47014912\"] \n  13 -> 16 [size =\"47014912\"]\n  13 -> 17 [size =\"47014912\"]\n  13 -> 18 [size =\"47014912\"]\n  13 -> 19 [size =\"47014912\"]\n  14 [size=\"136533333\", alpha=\"0.09\", expect_size=\"40960000\"] \n  14 -> 19 [size =\"40960000\"]\n  15 [size=\"45516800\", alpha=\"0.17\", expect_size=\"13655040\"] \n  15 -> 17 [size =\"13655040\"]\n  15 -> 18 [size =\"13655040\"]\n  16 [size=\"137820160\", alpha=\"0.08\", expect_size=\"41346048\"] \n  17 [size=\"44448427\", alpha=\"0.00\", expect_size=\"13334528\"] \n  17 -> 21 [size =\"13334528\"]\n  17 -> 22 [size =\"13334528\"]\n  18 [size=\"98522453\", alpha=\"0.14\", expect_size=\"29556736\"] \n  18 -> 20 [size =\"29556736\"]\n  19 [size=\"78731947\", alpha=\"0.03\", expect_size=\"23619584\"] \n  20 [size=\"58518187\", alpha=\"0.11\", expect_size=\"17555456\"] \n  20 -> 23 [size =\"17555456\"]\n  20 -> 24 [size =\"17555456\"]\n  20 -> 25 [size =\"17555456\"]\n  21 [size=\"62085120\", alpha=\"0.05\", expect_size=\"18625536\"] \n  21 -> 25 [size =\"18625536\"]\n  22 [size=\"76247040\", alpha=\"0.05\", expect_size=\"22874112\"] \n  23 [size=\"108352853\", alpha=\"0.07\", expect_size=\"32505856\"] \n  24 [size=\"101348693\", alpha=\"0.06\", expect_size=\"30404608\"] \n  25 [size=\"174376960\", alpha=\"0.13\", expect_size=\"52313088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33843200\", alpha=\"0.16\", expect_size=\"10152960\"] \n  1 -> 22 [size =\"10152960\"]\n  1 -> 23 [size =\"10152960\"]\n  2 [size=\"111011840\", alpha=\"0.18\", expect_size=\"33303552\"] \n  2 -> 23 [size =\"33303552\"]\n  2 -> 25 [size =\"33303552\"]\n  3 [size=\"124521813\", alpha=\"0.07\", expect_size=\"37356544\"] \n  4 [size=\"165420373\", alpha=\"0.03\", expect_size=\"49626112\"] \n  5 [size=\"133522773\", alpha=\"0.05\", expect_size=\"40056832\"] \n  5 -> 23 [size =\"40056832\"]\n  6 [size=\"102584320\", alpha=\"0.14\", expect_size=\"30775296\"] \n  6 -> 23 [size =\"30775296\"]\n  7 [size=\"25692160\", alpha=\"0.13\", expect_size=\"7707648\"] \n  7 -> 21 [size =\"7707648\"]\n  8 [size=\"142888960\", alpha=\"0.08\", expect_size=\"42866688\"] \n  8 -> 21 [size =\"42866688\"]\n  8 -> 22 [size =\"42866688\"]\n  8 -> 23 [size =\"42866688\"]\n  9 [size=\"99082240\", alpha=\"0.15\", expect_size=\"29724672\"] \n  9 -> 21 [size =\"29724672\"]\n  9 -> 22 [size =\"29724672\"]\n  10 [size=\"66109440\", alpha=\"0.11\", expect_size=\"19832832\"] \n  11 [size=\"162836480\", alpha=\"0.04\", expect_size=\"48850944\"] \n  12 [size=\"128566613\", alpha=\"0.12\", expect_size=\"38569984\"] \n  13 [size=\"114974720\", alpha=\"0.04\", expect_size=\"34492416\"] \n  13 -> 21 [size =\"34492416\"]\n  13 -> 24 [size =\"34492416\"]\n  14 [size=\"170714453\", alpha=\"0.02\", expect_size=\"51214336\"] \n  14 -> 21 [size =\"51214336\"]\n  14 -> 22 [size =\"51214336\"]\n  14 -> 23 [size =\"51214336\"]\n  15 [size=\"35112960\", alpha=\"0.08\", expect_size=\"10533888\"] \n  16 [size=\"73652907\", alpha=\"0.14\", expect_size=\"22095872\"] \n  16 -> 21 [size =\"22095872\"]\n  16 -> 25 [size =\"22095872\"]\n  17 [size=\"25890133\", alpha=\"0.08\", expect_size=\"7767040\"] \n  17 -> 25 [size =\"7767040\"]\n  18 [size=\"127334400\", alpha=\"0.15\", expect_size=\"38200320\"] \n  19 [size=\"35665920\", alpha=\"0.00\", expect_size=\"10699776\"] \n  20 [size=\"156900693\", alpha=\"0.12\", expect_size=\"47070208\"] \n  20 -> 22 [size =\"47070208\"]\n  21 [size=\"84275200\", alpha=\"0.07\", expect_size=\"25282560\"] \n  22 [size=\"112578560\", alpha=\"0.13\", expect_size=\"33773568\"] \n  23 [size=\"48452267\", alpha=\"0.13\", expect_size=\"14535680\"] \n  24 [size=\"79377067\", alpha=\"0.11\", expect_size=\"23813120\"] \n  25 [size=\"96996693\", alpha=\"0.04\", expect_size=\"29099008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26027520\", alpha=\"0.14\", expect_size=\"10411008\"] \n  1 -> 3 [size =\"10411008\"]\n  1 -> 4 [size =\"10411008\"]\n  2 [size=\"15664640\", alpha=\"0.06\", expect_size=\"6265856\"] \n  3 [size=\"19330560\", alpha=\"0.17\", expect_size=\"7732224\"] \n  3 -> 5 [size =\"7732224\"]\n  4 [size=\"57756160\", alpha=\"0.13\", expect_size=\"23102464\"] \n  5 [size=\"67269120\", alpha=\"0.17\", expect_size=\"26907648\"] \n  5 -> 6 [size =\"26907648\"]\n  6 [size=\"65479680\", alpha=\"0.01\", expect_size=\"26191872\"] \n  6 -> 7 [size =\"26191872\"]\n  6 -> 8 [size =\"26191872\"]\n  7 [size=\"98805760\", alpha=\"0.12\", expect_size=\"39522304\"] \n  7 -> 10 [size =\"39522304\"]\n  8 [size=\"114734080\", alpha=\"0.08\", expect_size=\"45893632\"] \n  8 -> 9 [size =\"45893632\"]\n  9 [size=\"29127680\", alpha=\"0.03\", expect_size=\"11651072\"] \n  9 -> 11 [size =\"11651072\"]\n  10 [size=\"113902080\", alpha=\"0.17\", expect_size=\"45560832\"] \n  11 [size=\"20707840\", alpha=\"0.19\", expect_size=\"8283136\"] \n  11 -> 12 [size =\"8283136\"]\n  12 [size=\"102615040\", alpha=\"0.02\", expect_size=\"41046016\"] \n  12 -> 13 [size =\"41046016\"]\n  12 -> 14 [size =\"41046016\"]\n  13 [size=\"20551680\", alpha=\"0.03\", expect_size=\"8220672\"] \n  14 [size=\"117972480\", alpha=\"0.02\", expect_size=\"47188992\"] \n  14 -> 15 [size =\"47188992\"]\n  15 [size=\"74032640\", alpha=\"0.11\", expect_size=\"29613056\"] \n  15 -> 16 [size =\"29613056\"]\n  15 -> 17 [size =\"29613056\"]\n  16 [size=\"55252480\", alpha=\"0.18\", expect_size=\"22100992\"] \n  16 -> 18 [size =\"22100992\"]\n  17 [size=\"61091840\", alpha=\"0.19\", expect_size=\"24436736\"] \n  17 -> 19 [size =\"24436736\"]\n  18 [size=\"130112000\", alpha=\"0.19\", expect_size=\"52044800\"] \n  18 -> 20 [size =\"52044800\"]\n  19 [size=\"56471040\", alpha=\"0.17\", expect_size=\"22588416\"] \n  19 -> 21 [size =\"22588416\"]\n  20 [size=\"72878080\", alpha=\"0.00\", expect_size=\"29151232\"] \n  21 [size=\"56227840\", alpha=\"0.06\", expect_size=\"22491136\"] \n  21 -> 22 [size =\"22491136\"]\n  22 [size=\"47639040\", alpha=\"0.11\", expect_size=\"19055616\"] \n  22 -> 23 [size =\"19055616\"]\n  22 -> 24 [size =\"19055616\"]\n  23 [size=\"62110720\", alpha=\"0.18\", expect_size=\"24844288\"] \n  24 [size=\"81075200\", alpha=\"0.12\", expect_size=\"32430080\"] \n  24 -> 25 [size =\"32430080\"]\n  25 [size=\"92582400\", alpha=\"0.15\", expect_size=\"37032960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80947200\", alpha=\"0.08\", expect_size=\"24284160\"] \n  1 -> 5 [size =\"24284160\"]\n  2 [size=\"31522133\", alpha=\"0.07\", expect_size=\"9456640\"] \n  2 -> 4 [size =\"9456640\"]\n  2 -> 7 [size =\"9456640\"]\n  3 [size=\"49793707\", alpha=\"0.10\", expect_size=\"14938112\"] \n  3 -> 4 [size =\"14938112\"]\n  3 -> 6 [size =\"14938112\"]\n  3 -> 7 [size =\"14938112\"]\n  4 [size=\"111796907\", alpha=\"0.07\", expect_size=\"33539072\"] \n  4 -> 8 [size =\"33539072\"]\n  5 [size=\"71505920\", alpha=\"0.19\", expect_size=\"21451776\"] \n  5 -> 8 [size =\"21451776\"]\n  5 -> 10 [size =\"21451776\"]\n  6 [size=\"62167040\", alpha=\"0.17\", expect_size=\"18650112\"] \n  6 -> 9 [size =\"18650112\"]\n  6 -> 10 [size =\"18650112\"]\n  7 [size=\"152876373\", alpha=\"0.03\", expect_size=\"45862912\"] \n  7 -> 8 [size =\"45862912\"]\n  7 -> 10 [size =\"45862912\"]\n  8 [size=\"106881707\", alpha=\"0.07\", expect_size=\"32064512\"] \n  8 -> 11 [size =\"32064512\"]\n  8 -> 13 [size =\"32064512\"]\n  9 [size=\"70475093\", alpha=\"0.16\", expect_size=\"21142528\"] \n  9 -> 11 [size =\"21142528\"]\n  10 [size=\"73608533\", alpha=\"0.13\", expect_size=\"22082560\"] \n  10 -> 12 [size =\"22082560\"]\n  10 -> 13 [size =\"22082560\"]\n  11 [size=\"88698880\", alpha=\"0.02\", expect_size=\"26609664\"] \n  11 -> 14 [size =\"26609664\"]\n  12 [size=\"150865920\", alpha=\"0.02\", expect_size=\"45259776\"] \n  13 [size=\"48455680\", alpha=\"0.15\", expect_size=\"14536704\"] \n  13 -> 15 [size =\"14536704\"]\n  14 [size=\"123409067\", alpha=\"0.17\", expect_size=\"37022720\"] \n  14 -> 16 [size =\"37022720\"]\n  14 -> 17 [size =\"37022720\"]\n  14 -> 18 [size =\"37022720\"]\n  15 [size=\"21210453\", alpha=\"0.05\", expect_size=\"6363136\"] \n  15 -> 16 [size =\"6363136\"]\n  15 -> 17 [size =\"6363136\"]\n  15 -> 18 [size =\"6363136\"]\n  16 [size=\"172916053\", alpha=\"0.11\", expect_size=\"51874816\"] \n  16 -> 19 [size =\"51874816\"]\n  16 -> 21 [size =\"51874816\"]\n  17 [size=\"148507307\", alpha=\"0.12\", expect_size=\"44552192\"] \n  17 -> 20 [size =\"44552192\"]\n  17 -> 21 [size =\"44552192\"]\n  18 [size=\"172694187\", alpha=\"0.03\", expect_size=\"51808256\"] \n  18 -> 22 [size =\"51808256\"]\n  19 [size=\"71649280\", alpha=\"0.01\", expect_size=\"21494784\"] \n  19 -> 23 [size =\"21494784\"]\n  19 -> 25 [size =\"21494784\"]\n  20 [size=\"37512533\", alpha=\"0.09\", expect_size=\"11253760\"] \n  20 -> 24 [size =\"11253760\"]\n  21 [size=\"138676907\", alpha=\"0.04\", expect_size=\"41603072\"] \n  21 -> 24 [size =\"41603072\"]\n  21 -> 25 [size =\"41603072\"]\n  22 [size=\"152924160\", alpha=\"0.02\", expect_size=\"45877248\"] \n  22 -> 25 [size =\"45877248\"]\n  23 [size=\"171209387\", alpha=\"0.03\", expect_size=\"51362816\"] \n  24 [size=\"132000427\", alpha=\"0.17\", expect_size=\"39600128\"] \n  25 [size=\"106458453\", alpha=\"0.17\", expect_size=\"31937536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101476352\", alpha=\"0.10\", expect_size=\"50738176\"] \n  1 -> 2 [size =\"50738176\"]\n  2 [size=\"12136448\", alpha=\"0.10\", expect_size=\"6068224\"] \n  2 -> 3 [size =\"6068224\"]\n  3 [size=\"33085440\", alpha=\"0.15\", expect_size=\"16542720\"] \n  3 -> 4 [size =\"16542720\"]\n  4 [size=\"48556032\", alpha=\"0.14\", expect_size=\"24278016\"] \n  4 -> 5 [size =\"24278016\"]\n  5 [size=\"38512640\", alpha=\"0.15\", expect_size=\"19256320\"] \n  5 -> 6 [size =\"19256320\"]\n  5 -> 7 [size =\"19256320\"]\n  6 [size=\"77860864\", alpha=\"0.03\", expect_size=\"38930432\"] \n  7 [size=\"69924864\", alpha=\"0.17\", expect_size=\"34962432\"] \n  7 -> 8 [size =\"34962432\"]\n  8 [size=\"70772736\", alpha=\"0.05\", expect_size=\"35386368\"] \n  8 -> 9 [size =\"35386368\"]\n  8 -> 10 [size =\"35386368\"]\n  9 [size=\"61947904\", alpha=\"0.14\", expect_size=\"30973952\"] \n  9 -> 11 [size =\"30973952\"]\n  10 [size=\"31823872\", alpha=\"0.00\", expect_size=\"15911936\"] \n  11 [size=\"90222592\", alpha=\"0.14\", expect_size=\"45111296\"] \n  11 -> 12 [size =\"45111296\"]\n  12 [size=\"40869888\", alpha=\"0.01\", expect_size=\"20434944\"] \n  12 -> 13 [size =\"20434944\"]\n  13 [size=\"89290752\", alpha=\"0.07\", expect_size=\"44645376\"] \n  13 -> 14 [size =\"44645376\"]\n  13 -> 15 [size =\"44645376\"]\n  14 [size=\"67072000\", alpha=\"0.03\", expect_size=\"33536000\"] \n  14 -> 16 [size =\"33536000\"]\n  15 [size=\"36616192\", alpha=\"0.08\", expect_size=\"18308096\"] \n  15 -> 16 [size =\"18308096\"]\n  15 -> 17 [size =\"18308096\"]\n  16 [size=\"14761984\", alpha=\"0.14\", expect_size=\"7380992\"] \n  16 -> 18 [size =\"7380992\"]\n  17 [size=\"29126656\", alpha=\"0.02\", expect_size=\"14563328\"] \n  17 -> 18 [size =\"14563328\"]\n  18 [size=\"13389824\", alpha=\"0.11\", expect_size=\"6694912\"] \n  18 -> 19 [size =\"6694912\"]\n  18 -> 20 [size =\"6694912\"]\n  19 [size=\"36188160\", alpha=\"0.18\", expect_size=\"18094080\"] \n  19 -> 21 [size =\"18094080\"]\n  19 -> 22 [size =\"18094080\"]\n  20 [size=\"101027840\", alpha=\"0.15\", expect_size=\"50513920\"] \n  20 -> 22 [size =\"50513920\"]\n  21 [size=\"102785024\", alpha=\"0.11\", expect_size=\"51392512\"] \n  22 [size=\"72855552\", alpha=\"0.08\", expect_size=\"36427776\"] \n  22 -> 23 [size =\"36427776\"]\n  23 [size=\"76777472\", alpha=\"0.10\", expect_size=\"38388736\"] \n  23 -> 24 [size =\"38388736\"]\n  23 -> 25 [size =\"38388736\"]\n  24 [size=\"13680640\", alpha=\"0.19\", expect_size=\"6840320\"] \n  25 [size=\"28225536\", alpha=\"0.15\", expect_size=\"14112768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87705600\", alpha=\"0.11\", expect_size=\"35082240\"] \n  1 -> 2 [size =\"35082240\"]\n  1 -> 3 [size =\"35082240\"]\n  2 [size=\"67023360\", alpha=\"0.15\", expect_size=\"26809344\"] \n  2 -> 4 [size =\"26809344\"]\n  3 [size=\"35264000\", alpha=\"0.07\", expect_size=\"14105600\"] \n  3 -> 4 [size =\"14105600\"]\n  3 -> 5 [size =\"14105600\"]\n  4 [size=\"48376320\", alpha=\"0.09\", expect_size=\"19350528\"] \n  5 [size=\"123240960\", alpha=\"0.14\", expect_size=\"49296384\"] \n  5 -> 6 [size =\"49296384\"]\n  6 [size=\"96701440\", alpha=\"0.00\", expect_size=\"38680576\"] \n  6 -> 7 [size =\"38680576\"]\n  7 [size=\"18250240\", alpha=\"0.18\", expect_size=\"7300096\"] \n  7 -> 8 [size =\"7300096\"]\n  8 [size=\"74383360\", alpha=\"0.02\", expect_size=\"29753344\"] \n  8 -> 9 [size =\"29753344\"]\n  8 -> 10 [size =\"29753344\"]\n  9 [size=\"28989440\", alpha=\"0.14\", expect_size=\"11595776\"] \n  10 [size=\"83166720\", alpha=\"0.07\", expect_size=\"33266688\"] \n  10 -> 11 [size =\"33266688\"]\n  11 [size=\"39892480\", alpha=\"0.02\", expect_size=\"15956992\"] \n  11 -> 12 [size =\"15956992\"]\n  11 -> 13 [size =\"15956992\"]\n  12 [size=\"101888000\", alpha=\"0.14\", expect_size=\"40755200\"] \n  12 -> 14 [size =\"40755200\"]\n  13 [size=\"73909760\", alpha=\"0.16\", expect_size=\"29563904\"] \n  14 [size=\"114767360\", alpha=\"0.03\", expect_size=\"45906944\"] \n  14 -> 15 [size =\"45906944\"]\n  14 -> 16 [size =\"45906944\"]\n  15 [size=\"51591680\", alpha=\"0.18\", expect_size=\"20636672\"] \n  15 -> 17 [size =\"20636672\"]\n  15 -> 18 [size =\"20636672\"]\n  16 [size=\"15444480\", alpha=\"0.11\", expect_size=\"6177792\"] \n  16 -> 18 [size =\"6177792\"]\n  17 [size=\"15454720\", alpha=\"0.10\", expect_size=\"6181888\"] \n  17 -> 19 [size =\"6181888\"]\n  17 -> 20 [size =\"6181888\"]\n  18 [size=\"123097600\", alpha=\"0.07\", expect_size=\"49239040\"] \n  18 -> 19 [size =\"49239040\"]\n  19 [size=\"18567680\", alpha=\"0.20\", expect_size=\"7427072\"] \n  20 [size=\"102041600\", alpha=\"0.00\", expect_size=\"40816640\"] \n  20 -> 21 [size =\"40816640\"]\n  21 [size=\"26613760\", alpha=\"0.13\", expect_size=\"10645504\"] \n  21 -> 22 [size =\"10645504\"]\n  22 [size=\"38417920\", alpha=\"0.15\", expect_size=\"15367168\"] \n  22 -> 23 [size =\"15367168\"]\n  22 -> 24 [size =\"15367168\"]\n  23 [size=\"121425920\", alpha=\"0.01\", expect_size=\"48570368\"] \n  23 -> 25 [size =\"48570368\"]\n  24 [size=\"98321920\", alpha=\"0.13\", expect_size=\"39328768\"] \n  24 -> 25 [size =\"39328768\"]\n  25 [size=\"115560960\", alpha=\"0.03\", expect_size=\"46224384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37048320\", alpha=\"0.17\", expect_size=\"14819328\"] \n  1 -> 9 [size =\"14819328\"]\n  1 -> 10 [size =\"14819328\"]\n  1 -> 12 [size =\"14819328\"]\n  1 -> 13 [size =\"14819328\"]\n  1 -> 14 [size =\"14819328\"]\n  1 -> 17 [size =\"14819328\"]\n  2 [size=\"107586560\", alpha=\"0.12\", expect_size=\"43034624\"] \n  2 -> 10 [size =\"43034624\"]\n  2 -> 10 [size =\"43034624\"]\n  2 -> 11 [size =\"43034624\"]\n  2 -> 13 [size =\"43034624\"]\n  2 -> 16 [size =\"43034624\"]\n  2 -> 17 [size =\"43034624\"]\n  3 [size=\"105359360\", alpha=\"0.05\", expect_size=\"42143744\"] \n  3 -> 10 [size =\"42143744\"]\n  3 -> 11 [size =\"42143744\"]\n  3 -> 12 [size =\"42143744\"]\n  3 -> 13 [size =\"42143744\"]\n  3 -> 15 [size =\"42143744\"]\n  3 -> 16 [size =\"42143744\"]\n  3 -> 17 [size =\"42143744\"]\n  4 [size=\"86965760\", alpha=\"0.03\", expect_size=\"34786304\"] \n  4 -> 11 [size =\"34786304\"]\n  4 -> 12 [size =\"34786304\"]\n  4 -> 13 [size =\"34786304\"]\n  4 -> 14 [size =\"34786304\"]\n  4 -> 16 [size =\"34786304\"]\n  4 -> 17 [size =\"34786304\"]\n  4 -> 17 [size =\"34786304\"]\n  5 [size=\"68236800\", alpha=\"0.13\", expect_size=\"27294720\"] \n  5 -> 9 [size =\"27294720\"]\n  5 -> 11 [size =\"27294720\"]\n  5 -> 13 [size =\"27294720\"]\n  6 [size=\"54781440\", alpha=\"0.13\", expect_size=\"21912576\"] \n  6 -> 10 [size =\"21912576\"]\n  6 -> 11 [size =\"21912576\"]\n  6 -> 16 [size =\"21912576\"]\n  6 -> 17 [size =\"21912576\"]\n  7 [size=\"28372480\", alpha=\"0.05\", expect_size=\"11348992\"] \n  7 -> 9 [size =\"11348992\"]\n  7 -> 10 [size =\"11348992\"]\n  7 -> 11 [size =\"11348992\"]\n  7 -> 12 [size =\"11348992\"]\n  7 -> 16 [size =\"11348992\"]\n  8 [size=\"96043520\", alpha=\"0.14\", expect_size=\"38417408\"] \n  8 -> 10 [size =\"38417408\"]\n  8 -> 11 [size =\"38417408\"]\n  8 -> 12 [size =\"38417408\"]\n  8 -> 13 [size =\"38417408\"]\n  8 -> 16 [size =\"38417408\"]\n  8 -> 17 [size =\"38417408\"]\n  9 [size=\"48496640\", alpha=\"0.06\", expect_size=\"19398656\"] \n  9 -> 18 [size =\"19398656\"]\n  9 -> 22 [size =\"19398656\"]\n  10 [size=\"17364480\", alpha=\"0.05\", expect_size=\"6945792\"] \n  10 -> 19 [size =\"6945792\"]\n  10 -> 20 [size =\"6945792\"]\n  10 -> 21 [size =\"6945792\"]\n  10 -> 22 [size =\"6945792\"]\n  11 [size=\"79180800\", alpha=\"0.10\", expect_size=\"31672320\"] \n  11 -> 18 [size =\"31672320\"]\n  11 -> 20 [size =\"31672320\"]\n  12 [size=\"62638080\", alpha=\"0.05\", expect_size=\"25055232\"] \n  12 -> 18 [size =\"25055232\"]\n  13 [size=\"18132480\", alpha=\"0.04\", expect_size=\"7252992\"] \n  13 -> 18 [size =\"7252992\"]\n  13 -> 24 [size =\"7252992\"]\n  14 [size=\"45698560\", alpha=\"0.05\", expect_size=\"18279424\"] \n  14 -> 18 [size =\"18279424\"]\n  14 -> 20 [size =\"18279424\"]\n  14 -> 22 [size =\"18279424\"]\n  14 -> 24 [size =\"18279424\"]\n  15 [size=\"65538560\", alpha=\"0.09\", expect_size=\"26215424\"] \n  15 -> 18 [size =\"26215424\"]\n  15 -> 22 [size =\"26215424\"]\n  15 -> 23 [size =\"26215424\"]\n  16 [size=\"24540160\", alpha=\"0.19\", expect_size=\"9816064\"] \n  16 -> 18 [size =\"9816064\"]\n  16 -> 20 [size =\"9816064\"]\n  16 -> 22 [size =\"9816064\"]\n  16 -> 24 [size =\"9816064\"]\n  17 [size=\"98616320\", alpha=\"0.14\", expect_size=\"39446528\"] \n  17 -> 18 [size =\"39446528\"]\n  17 -> 22 [size =\"39446528\"]\n  17 -> 22 [size =\"39446528\"]\n  17 -> 23 [size =\"39446528\"]\n  17 -> 25 [size =\"39446528\"]\n  18 [size=\"129612800\", alpha=\"0.09\", expect_size=\"51845120\"] \n  19 [size=\"93396480\", alpha=\"0.09\", expect_size=\"37358592\"] \n  20 [size=\"130618880\", alpha=\"0.12\", expect_size=\"52247552\"] \n  21 [size=\"40345600\", alpha=\"0.19\", expect_size=\"16138240\"] \n  22 [size=\"98007040\", alpha=\"0.02\", expect_size=\"39202816\"] \n  23 [size=\"128960000\", alpha=\"0.01\", expect_size=\"51584000\"] \n  24 [size=\"33699840\", alpha=\"0.12\", expect_size=\"13479936\"] \n  25 [size=\"62568960\", alpha=\"0.13\", expect_size=\"25027584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46411093\", alpha=\"0.16\", expect_size=\"13923328\"] \n  1 -> 2 [size =\"13923328\"]\n  1 -> 3 [size =\"13923328\"]\n  2 [size=\"139547307\", alpha=\"0.14\", expect_size=\"41864192\"] \n  2 -> 4 [size =\"41864192\"]\n  2 -> 5 [size =\"41864192\"]\n  3 [size=\"18879147\", alpha=\"0.04\", expect_size=\"5663744\"] \n  4 [size=\"114520747\", alpha=\"0.14\", expect_size=\"34356224\"] \n  4 -> 6 [size =\"34356224\"]\n  4 -> 7 [size =\"34356224\"]\n  5 [size=\"87988907\", alpha=\"0.01\", expect_size=\"26396672\"] \n  5 -> 6 [size =\"26396672\"]\n  6 [size=\"48039253\", alpha=\"0.18\", expect_size=\"14411776\"] \n  6 -> 8 [size =\"14411776\"]\n  7 [size=\"67362133\", alpha=\"0.18\", expect_size=\"20208640\"] \n  7 -> 8 [size =\"20208640\"]\n  8 [size=\"46042453\", alpha=\"0.07\", expect_size=\"13812736\"] \n  8 -> 9 [size =\"13812736\"]\n  9 [size=\"116814507\", alpha=\"0.06\", expect_size=\"35044352\"] \n  9 -> 10 [size =\"35044352\"]\n  10 [size=\"141492907\", alpha=\"0.04\", expect_size=\"42447872\"] \n  10 -> 11 [size =\"42447872\"]\n  10 -> 12 [size =\"42447872\"]\n  11 [size=\"72744960\", alpha=\"0.19\", expect_size=\"21823488\"] \n  11 -> 14 [size =\"21823488\"]\n  12 [size=\"43997867\", alpha=\"0.04\", expect_size=\"13199360\"] \n  12 -> 13 [size =\"13199360\"]\n  12 -> 14 [size =\"13199360\"]\n  13 [size=\"150398293\", alpha=\"0.17\", expect_size=\"45119488\"] \n  13 -> 15 [size =\"45119488\"]\n  14 [size=\"26866347\", alpha=\"0.11\", expect_size=\"8059904\"] \n  14 -> 15 [size =\"8059904\"]\n  15 [size=\"137209173\", alpha=\"0.16\", expect_size=\"41162752\"] \n  15 -> 16 [size =\"41162752\"]\n  16 [size=\"145670827\", alpha=\"0.14\", expect_size=\"43701248\"] \n  16 -> 17 [size =\"43701248\"]\n  17 [size=\"129583787\", alpha=\"0.19\", expect_size=\"38875136\"] \n  17 -> 18 [size =\"38875136\"]\n  17 -> 19 [size =\"38875136\"]\n  18 [size=\"117254827\", alpha=\"0.17\", expect_size=\"35176448\"] \n  19 [size=\"18824533\", alpha=\"0.17\", expect_size=\"5647360\"] \n  19 -> 20 [size =\"5647360\"]\n  20 [size=\"66713600\", alpha=\"0.11\", expect_size=\"20014080\"] \n  20 -> 21 [size =\"20014080\"]\n  20 -> 22 [size =\"20014080\"]\n  21 [size=\"97082027\", alpha=\"0.07\", expect_size=\"29124608\"] \n  21 -> 23 [size =\"29124608\"]\n  21 -> 24 [size =\"29124608\"]\n  22 [size=\"86923947\", alpha=\"0.20\", expect_size=\"26077184\"] \n  22 -> 23 [size =\"26077184\"]\n  22 -> 24 [size =\"26077184\"]\n  23 [size=\"114701653\", alpha=\"0.12\", expect_size=\"34410496\"] \n  23 -> 25 [size =\"34410496\"]\n  24 [size=\"90016427\", alpha=\"0.17\", expect_size=\"27004928\"] \n  24 -> 25 [size =\"27004928\"]\n  25 [size=\"17551360\", alpha=\"0.11\", expect_size=\"5265408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53428224\", alpha=\"0.12\", expect_size=\"26714112\"] \n  1 -> 7 [size =\"26714112\"]\n  2 [size=\"54802432\", alpha=\"0.05\", expect_size=\"27401216\"] \n  2 -> 5 [size =\"27401216\"]\n  2 -> 7 [size =\"27401216\"]\n  3 [size=\"82331648\", alpha=\"0.16\", expect_size=\"41165824\"] \n  3 -> 6 [size =\"41165824\"]\n  3 -> 7 [size =\"41165824\"]\n  4 [size=\"97988608\", alpha=\"0.03\", expect_size=\"48994304\"] \n  4 -> 5 [size =\"48994304\"]\n  4 -> 6 [size =\"48994304\"]\n  4 -> 8 [size =\"48994304\"]\n  5 [size=\"23912448\", alpha=\"0.17\", expect_size=\"11956224\"] \n  5 -> 9 [size =\"11956224\"]\n  5 -> 11 [size =\"11956224\"]\n  6 [size=\"65572864\", alpha=\"0.03\", expect_size=\"32786432\"] \n  6 -> 9 [size =\"32786432\"]\n  6 -> 11 [size =\"32786432\"]\n  6 -> 12 [size =\"32786432\"]\n  7 [size=\"74199040\", alpha=\"0.02\", expect_size=\"37099520\"] \n  7 -> 9 [size =\"37099520\"]\n  8 [size=\"47177728\", alpha=\"0.10\", expect_size=\"23588864\"] \n  8 -> 10 [size =\"23588864\"]\n  8 -> 12 [size =\"23588864\"]\n  9 [size=\"100902912\", alpha=\"0.05\", expect_size=\"50451456\"] \n  9 -> 13 [size =\"50451456\"]\n  9 -> 14 [size =\"50451456\"]\n  9 -> 15 [size =\"50451456\"]\n  9 -> 16 [size =\"50451456\"]\n  10 [size=\"99426304\", alpha=\"0.20\", expect_size=\"49713152\"] \n  10 -> 16 [size =\"49713152\"]\n  11 [size=\"75468800\", alpha=\"0.17\", expect_size=\"37734400\"] \n  11 -> 14 [size =\"37734400\"]\n  11 -> 16 [size =\"37734400\"]\n  11 -> 17 [size =\"37734400\"]\n  12 [size=\"39802880\", alpha=\"0.14\", expect_size=\"19901440\"] \n  12 -> 13 [size =\"19901440\"]\n  12 -> 14 [size =\"19901440\"]\n  12 -> 15 [size =\"19901440\"]\n  13 [size=\"61790208\", alpha=\"0.17\", expect_size=\"30895104\"] \n  14 [size=\"43659264\", alpha=\"0.11\", expect_size=\"21829632\"] \n  14 -> 18 [size =\"21829632\"]\n  14 -> 19 [size =\"21829632\"]\n  15 [size=\"55805952\", alpha=\"0.20\", expect_size=\"27902976\"] \n  16 [size=\"41607168\", alpha=\"0.05\", expect_size=\"20803584\"] \n  16 -> 19 [size =\"20803584\"]\n  16 -> 20 [size =\"20803584\"]\n  17 [size=\"53438464\", alpha=\"0.05\", expect_size=\"26719232\"] \n  17 -> 18 [size =\"26719232\"]\n  17 -> 20 [size =\"26719232\"]\n  18 [size=\"61624320\", alpha=\"0.17\", expect_size=\"30812160\"] \n  18 -> 22 [size =\"30812160\"]\n  18 -> 23 [size =\"30812160\"]\n  18 -> 24 [size =\"30812160\"]\n  19 [size=\"14989312\", alpha=\"0.20\", expect_size=\"7494656\"] \n  19 -> 24 [size =\"7494656\"]\n  20 [size=\"37771264\", alpha=\"0.13\", expect_size=\"18885632\"] \n  20 -> 21 [size =\"18885632\"]\n  20 -> 22 [size =\"18885632\"]\n  20 -> 23 [size =\"18885632\"]\n  21 [size=\"36417536\", alpha=\"0.15\", expect_size=\"18208768\"] \n  22 [size=\"20537344\", alpha=\"0.06\", expect_size=\"10268672\"] \n  23 [size=\"87990272\", alpha=\"0.12\", expect_size=\"43995136\"] \n  23 -> 25 [size =\"43995136\"]\n  24 [size=\"73969664\", alpha=\"0.17\", expect_size=\"36984832\"] \n  25 [size=\"32776192\", alpha=\"0.05\", expect_size=\"16388096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89800704\", alpha=\"0.17\", expect_size=\"44900352\"] \n  1 -> 25 [size =\"44900352\"]\n  2 [size=\"75165696\", alpha=\"0.11\", expect_size=\"37582848\"] \n  2 -> 25 [size =\"37582848\"]\n  3 [size=\"53565440\", alpha=\"0.20\", expect_size=\"26782720\"] \n  4 [size=\"77121536\", alpha=\"0.07\", expect_size=\"38560768\"] \n  4 -> 25 [size =\"38560768\"]\n  5 [size=\"21727232\", alpha=\"0.16\", expect_size=\"10863616\"] \n  6 [size=\"33103872\", alpha=\"0.19\", expect_size=\"16551936\"] \n  7 [size=\"16537600\", alpha=\"0.10\", expect_size=\"8268800\"] \n  8 [size=\"104095744\", alpha=\"0.03\", expect_size=\"52047872\"] \n  9 [size=\"100573184\", alpha=\"0.11\", expect_size=\"50286592\"] \n  10 [size=\"29575168\", alpha=\"0.07\", expect_size=\"14787584\"] \n  11 [size=\"67176448\", alpha=\"0.20\", expect_size=\"33588224\"] \n  12 [size=\"53886976\", alpha=\"0.09\", expect_size=\"26943488\"] \n  12 -> 25 [size =\"26943488\"]\n  13 [size=\"10938368\", alpha=\"0.05\", expect_size=\"5469184\"] \n  14 [size=\"104208384\", alpha=\"0.06\", expect_size=\"52104192\"] \n  15 [size=\"44253184\", alpha=\"0.00\", expect_size=\"22126592\"] \n  16 [size=\"24459264\", alpha=\"0.00\", expect_size=\"12229632\"] \n  16 -> 24 [size =\"12229632\"]\n  16 -> 25 [size =\"12229632\"]\n  17 [size=\"21231616\", alpha=\"0.10\", expect_size=\"10615808\"] \n  17 -> 25 [size =\"10615808\"]\n  18 [size=\"67403776\", alpha=\"0.11\", expect_size=\"33701888\"] \n  18 -> 25 [size =\"33701888\"]\n  19 [size=\"80019456\", alpha=\"0.11\", expect_size=\"40009728\"] \n  20 [size=\"39798784\", alpha=\"0.16\", expect_size=\"19899392\"] \n  20 -> 25 [size =\"19899392\"]\n  21 [size=\"73752576\", alpha=\"0.17\", expect_size=\"36876288\"] \n  22 [size=\"72269824\", alpha=\"0.12\", expect_size=\"36134912\"] \n  23 [size=\"20584448\", alpha=\"0.17\", expect_size=\"10292224\"] \n  24 [size=\"43573248\", alpha=\"0.15\", expect_size=\"21786624\"] \n  25 [size=\"69900288\", alpha=\"0.16\", expect_size=\"34950144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125322240\", alpha=\"0.15\", expect_size=\"50128896\"] \n  1 -> 19 [size =\"50128896\"]\n  1 -> 21 [size =\"50128896\"]\n  1 -> 23 [size =\"50128896\"]\n  1 -> 25 [size =\"50128896\"]\n  2 [size=\"87856640\", alpha=\"0.13\", expect_size=\"35142656\"] \n  2 -> 20 [size =\"35142656\"]\n  2 -> 21 [size =\"35142656\"]\n  3 [size=\"22005760\", alpha=\"0.10\", expect_size=\"8802304\"] \n  3 -> 19 [size =\"8802304\"]\n  3 -> 21 [size =\"8802304\"]\n  3 -> 23 [size =\"8802304\"]\n  3 -> 25 [size =\"8802304\"]\n  4 [size=\"17756160\", alpha=\"0.10\", expect_size=\"7102464\"] \n  4 -> 20 [size =\"7102464\"]\n  4 -> 21 [size =\"7102464\"]\n  5 [size=\"26513920\", alpha=\"0.03\", expect_size=\"10605568\"] \n  5 -> 19 [size =\"10605568\"]\n  5 -> 21 [size =\"10605568\"]\n  5 -> 22 [size =\"10605568\"]\n  5 -> 25 [size =\"10605568\"]\n  6 [size=\"105310720\", alpha=\"0.06\", expect_size=\"42124288\"] \n  6 -> 19 [size =\"42124288\"]\n  6 -> 25 [size =\"42124288\"]\n  7 [size=\"98593280\", alpha=\"0.08\", expect_size=\"39437312\"] \n  7 -> 19 [size =\"39437312\"]\n  7 -> 21 [size =\"39437312\"]\n  8 [size=\"101911040\", alpha=\"0.12\", expect_size=\"40764416\"] \n  9 [size=\"59819520\", alpha=\"0.16\", expect_size=\"23927808\"] \n  9 -> 22 [size =\"23927808\"]\n  9 -> 24 [size =\"23927808\"]\n  9 -> 25 [size =\"23927808\"]\n  10 [size=\"55042560\", alpha=\"0.06\", expect_size=\"22017024\"] \n  10 -> 19 [size =\"22017024\"]\n  11 [size=\"23052800\", alpha=\"0.11\", expect_size=\"9221120\"] \n  11 -> 20 [size =\"9221120\"]\n  11 -> 25 [size =\"9221120\"]\n  12 [size=\"109416960\", alpha=\"0.15\", expect_size=\"43766784\"] \n  12 -> 25 [size =\"43766784\"]\n  13 [size=\"67015680\", alpha=\"0.04\", expect_size=\"26806272\"] \n  13 -> 21 [size =\"26806272\"]\n  14 [size=\"127616000\", alpha=\"0.01\", expect_size=\"51046400\"] \n  14 -> 19 [size =\"51046400\"]\n  14 -> 21 [size =\"51046400\"]\n  14 -> 22 [size =\"51046400\"]\n  15 [size=\"65763840\", alpha=\"0.04\", expect_size=\"26305536\"] \n  15 -> 20 [size =\"26305536\"]\n  15 -> 21 [size =\"26305536\"]\n  15 -> 24 [size =\"26305536\"]\n  16 [size=\"84889600\", alpha=\"0.12\", expect_size=\"33955840\"] \n  16 -> 20 [size =\"33955840\"]\n  16 -> 21 [size =\"33955840\"]\n  16 -> 24 [size =\"33955840\"]\n  17 [size=\"120227840\", alpha=\"0.04\", expect_size=\"48091136\"] \n  17 -> 19 [size =\"48091136\"]\n  17 -> 21 [size =\"48091136\"]\n  17 -> 24 [size =\"48091136\"]\n  17 -> 25 [size =\"48091136\"]\n  18 [size=\"50237440\", alpha=\"0.15\", expect_size=\"20094976\"] \n  18 -> 19 [size =\"20094976\"]\n  18 -> 21 [size =\"20094976\"]\n  19 [size=\"121745920\", alpha=\"0.03\", expect_size=\"48698368\"] \n  20 [size=\"95229440\", alpha=\"0.13\", expect_size=\"38091776\"] \n  21 [size=\"128373760\", alpha=\"0.02\", expect_size=\"51349504\"] \n  22 [size=\"75215360\", alpha=\"0.03\", expect_size=\"30086144\"] \n  23 [size=\"45012480\", alpha=\"0.06\", expect_size=\"18004992\"] \n  24 [size=\"69808640\", alpha=\"0.10\", expect_size=\"27923456\"] \n  25 [size=\"76311040\", alpha=\"0.16\", expect_size=\"30524416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38707200\", alpha=\"0.17\", expect_size=\"19353600\"] \n  1 -> 2 [size =\"19353600\"]\n  2 [size=\"75421696\", alpha=\"0.10\", expect_size=\"37710848\"] \n  2 -> 3 [size =\"37710848\"]\n  3 [size=\"12244992\", alpha=\"0.16\", expect_size=\"6122496\"] \n  3 -> 4 [size =\"6122496\"]\n  4 [size=\"83941376\", alpha=\"0.20\", expect_size=\"41970688\"] \n  4 -> 5 [size =\"41970688\"]\n  5 [size=\"78811136\", alpha=\"0.01\", expect_size=\"39405568\"] \n  5 -> 6 [size =\"39405568\"]\n  5 -> 7 [size =\"39405568\"]\n  6 [size=\"84035584\", alpha=\"0.03\", expect_size=\"42017792\"] \n  6 -> 8 [size =\"42017792\"]\n  6 -> 9 [size =\"42017792\"]\n  7 [size=\"43819008\", alpha=\"0.07\", expect_size=\"21909504\"] \n  7 -> 8 [size =\"21909504\"]\n  8 [size=\"14065664\", alpha=\"0.08\", expect_size=\"7032832\"] \n  8 -> 10 [size =\"7032832\"]\n  9 [size=\"95346688\", alpha=\"0.10\", expect_size=\"47673344\"] \n  10 [size=\"57098240\", alpha=\"0.00\", expect_size=\"28549120\"] \n  10 -> 11 [size =\"28549120\"]\n  10 -> 12 [size =\"28549120\"]\n  11 [size=\"38959104\", alpha=\"0.03\", expect_size=\"19479552\"] \n  11 -> 13 [size =\"19479552\"]\n  12 [size=\"26402816\", alpha=\"0.09\", expect_size=\"13201408\"] \n  12 -> 13 [size =\"13201408\"]\n  13 [size=\"72884224\", alpha=\"0.11\", expect_size=\"36442112\"] \n  13 -> 14 [size =\"36442112\"]\n  14 [size=\"55244800\", alpha=\"0.20\", expect_size=\"27622400\"] \n  14 -> 15 [size =\"27622400\"]\n  14 -> 16 [size =\"27622400\"]\n  15 [size=\"53450752\", alpha=\"0.14\", expect_size=\"26725376\"] \n  16 [size=\"56891392\", alpha=\"0.16\", expect_size=\"28445696\"] \n  16 -> 17 [size =\"28445696\"]\n  17 [size=\"69857280\", alpha=\"0.16\", expect_size=\"34928640\"] \n  17 -> 18 [size =\"34928640\"]\n  18 [size=\"104691712\", alpha=\"0.19\", expect_size=\"52345856\"] \n  18 -> 19 [size =\"52345856\"]\n  18 -> 20 [size =\"52345856\"]\n  19 [size=\"48386048\", alpha=\"0.05\", expect_size=\"24193024\"] \n  19 -> 21 [size =\"24193024\"]\n  20 [size=\"94128128\", alpha=\"0.13\", expect_size=\"47064064\"] \n  20 -> 21 [size =\"47064064\"]\n  21 [size=\"95338496\", alpha=\"0.06\", expect_size=\"47669248\"] \n  21 -> 22 [size =\"47669248\"]\n  21 -> 23 [size =\"47669248\"]\n  22 [size=\"14143488\", alpha=\"0.14\", expect_size=\"7071744\"] \n  22 -> 24 [size =\"7071744\"]\n  22 -> 25 [size =\"7071744\"]\n  23 [size=\"57214976\", alpha=\"0.01\", expect_size=\"28607488\"] \n  23 -> 25 [size =\"28607488\"]\n  24 [size=\"12541952\", alpha=\"0.05\", expect_size=\"6270976\"] \n  25 [size=\"11921408\", alpha=\"0.02\", expect_size=\"5960704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85313536\", alpha=\"0.01\", expect_size=\"42656768\"] \n  1 -> 7 [size =\"42656768\"]\n  2 [size=\"27656192\", alpha=\"0.04\", expect_size=\"13828096\"] \n  2 -> 6 [size =\"13828096\"]\n  2 -> 9 [size =\"13828096\"]\n  3 [size=\"17508352\", alpha=\"0.18\", expect_size=\"8754176\"] \n  3 -> 7 [size =\"8754176\"]\n  3 -> 9 [size =\"8754176\"]\n  4 [size=\"41859072\", alpha=\"0.09\", expect_size=\"20929536\"] \n  5 [size=\"11173888\", alpha=\"0.04\", expect_size=\"5586944\"] \n  5 -> 8 [size =\"5586944\"]\n  5 -> 9 [size =\"5586944\"]\n  6 [size=\"32178176\", alpha=\"0.00\", expect_size=\"16089088\"] \n  6 -> 11 [size =\"16089088\"]\n  7 [size=\"31916032\", alpha=\"0.13\", expect_size=\"15958016\"] \n  8 [size=\"67332096\", alpha=\"0.12\", expect_size=\"33666048\"] \n  9 [size=\"56070144\", alpha=\"0.03\", expect_size=\"28035072\"] \n  9 -> 10 [size =\"28035072\"]\n  9 -> 11 [size =\"28035072\"]\n  9 -> 12 [size =\"28035072\"]\n  10 [size=\"100218880\", alpha=\"0.05\", expect_size=\"50109440\"] \n  10 -> 13 [size =\"50109440\"]\n  10 -> 15 [size =\"50109440\"]\n  10 -> 16 [size =\"50109440\"]\n  11 [size=\"36075520\", alpha=\"0.11\", expect_size=\"18037760\"] \n  12 [size=\"40919040\", alpha=\"0.00\", expect_size=\"20459520\"] \n  12 -> 14 [size =\"20459520\"]\n  13 [size=\"58148864\", alpha=\"0.10\", expect_size=\"29074432\"] \n  13 -> 17 [size =\"29074432\"]\n  14 [size=\"47616000\", alpha=\"0.14\", expect_size=\"23808000\"] \n  14 -> 18 [size =\"23808000\"]\n  15 [size=\"89778176\", alpha=\"0.19\", expect_size=\"44889088\"] \n  15 -> 18 [size =\"44889088\"]\n  16 [size=\"15949824\", alpha=\"0.19\", expect_size=\"7974912\"] \n  16 -> 19 [size =\"7974912\"]\n  17 [size=\"18104320\", alpha=\"0.12\", expect_size=\"9052160\"] \n  17 -> 20 [size =\"9052160\"]\n  18 [size=\"78903296\", alpha=\"0.11\", expect_size=\"39451648\"] \n  19 [size=\"39505920\", alpha=\"0.13\", expect_size=\"19752960\"] \n  19 -> 21 [size =\"19752960\"]\n  20 [size=\"51767296\", alpha=\"0.15\", expect_size=\"25883648\"] \n  20 -> 23 [size =\"25883648\"]\n  21 [size=\"76929024\", alpha=\"0.13\", expect_size=\"38464512\"] \n  21 -> 22 [size =\"38464512\"]\n  21 -> 24 [size =\"38464512\"]\n  22 [size=\"36235264\", alpha=\"0.15\", expect_size=\"18117632\"] \n  22 -> 25 [size =\"18117632\"]\n  23 [size=\"37679104\", alpha=\"0.18\", expect_size=\"18839552\"] \n  23 -> 25 [size =\"18839552\"]\n  24 [size=\"85217280\", alpha=\"0.08\", expect_size=\"42608640\"] \n  25 [size=\"55261184\", alpha=\"0.18\", expect_size=\"27630592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103792640\", alpha=\"0.07\", expect_size=\"41517056\"] \n  1 -> 21 [size =\"41517056\"]\n  1 -> 22 [size =\"41517056\"]\n  1 -> 25 [size =\"41517056\"]\n  2 [size=\"67415040\", alpha=\"0.08\", expect_size=\"26966016\"] \n  2 -> 21 [size =\"26966016\"]\n  2 -> 22 [size =\"26966016\"]\n  3 [size=\"120499200\", alpha=\"0.01\", expect_size=\"48199680\"] \n  3 -> 21 [size =\"48199680\"]\n  3 -> 22 [size =\"48199680\"]\n  3 -> 25 [size =\"48199680\"]\n  4 [size=\"73625600\", alpha=\"0.16\", expect_size=\"29450240\"] \n  4 -> 21 [size =\"29450240\"]\n  4 -> 22 [size =\"29450240\"]\n  4 -> 25 [size =\"29450240\"]\n  5 [size=\"20871680\", alpha=\"0.05\", expect_size=\"8348672\"] \n  5 -> 22 [size =\"8348672\"]\n  6 [size=\"56773120\", alpha=\"0.16\", expect_size=\"22709248\"] \n  6 -> 22 [size =\"22709248\"]\n  6 -> 23 [size =\"22709248\"]\n  7 [size=\"32245760\", alpha=\"0.03\", expect_size=\"12898304\"] \n  7 -> 22 [size =\"12898304\"]\n  8 [size=\"70141440\", alpha=\"0.10\", expect_size=\"28056576\"] \n  8 -> 21 [size =\"28056576\"]\n  8 -> 23 [size =\"28056576\"]\n  8 -> 24 [size =\"28056576\"]\n  9 [size=\"90877440\", alpha=\"0.17\", expect_size=\"36350976\"] \n  9 -> 22 [size =\"36350976\"]\n  10 [size=\"100889600\", alpha=\"0.10\", expect_size=\"40355840\"] \n  10 -> 22 [size =\"40355840\"]\n  11 [size=\"66501120\", alpha=\"0.04\", expect_size=\"26600448\"] \n  11 -> 22 [size =\"26600448\"]\n  12 [size=\"106352640\", alpha=\"0.01\", expect_size=\"42541056\"] \n  12 -> 22 [size =\"42541056\"]\n  12 -> 23 [size =\"42541056\"]\n  13 [size=\"37071360\", alpha=\"0.01\", expect_size=\"14828544\"] \n  13 -> 22 [size =\"14828544\"]\n  13 -> 23 [size =\"14828544\"]\n  14 [size=\"45698560\", alpha=\"0.06\", expect_size=\"18279424\"] \n  14 -> 21 [size =\"18279424\"]\n  14 -> 22 [size =\"18279424\"]\n  15 [size=\"20894720\", alpha=\"0.14\", expect_size=\"8357888\"] \n  15 -> 21 [size =\"8357888\"]\n  15 -> 22 [size =\"8357888\"]\n  15 -> 23 [size =\"8357888\"]\n  16 [size=\"51118080\", alpha=\"0.16\", expect_size=\"20447232\"] \n  16 -> 21 [size =\"20447232\"]\n  16 -> 22 [size =\"20447232\"]\n  16 -> 24 [size =\"20447232\"]\n  17 [size=\"24737280\", alpha=\"0.04\", expect_size=\"9894912\"] \n  18 [size=\"40184320\", alpha=\"0.13\", expect_size=\"16073728\"] \n  18 -> 21 [size =\"16073728\"]\n  19 [size=\"98140160\", alpha=\"0.15\", expect_size=\"39256064\"] \n  19 -> 22 [size =\"39256064\"]\n  19 -> 25 [size =\"39256064\"]\n  20 [size=\"79503360\", alpha=\"0.19\", expect_size=\"31801344\"] \n  20 -> 22 [size =\"31801344\"]\n  20 -> 23 [size =\"31801344\"]\n  20 -> 25 [size =\"31801344\"]\n  21 [size=\"20597760\", alpha=\"0.18\", expect_size=\"8239104\"] \n  22 [size=\"43343360\", alpha=\"0.07\", expect_size=\"17337344\"] \n  23 [size=\"50099200\", alpha=\"0.14\", expect_size=\"20039680\"] \n  24 [size=\"54336000\", alpha=\"0.11\", expect_size=\"21734400\"] \n  25 [size=\"89006080\", alpha=\"0.09\", expect_size=\"35602432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97908736\", alpha=\"0.09\", expect_size=\"48954368\"] \n  1 -> 2 [size =\"48954368\"]\n  2 [size=\"104726528\", alpha=\"0.18\", expect_size=\"52363264\"] \n  2 -> 3 [size =\"52363264\"]\n  3 [size=\"92401664\", alpha=\"0.05\", expect_size=\"46200832\"] \n  3 -> 4 [size =\"46200832\"]\n  4 [size=\"28717056\", alpha=\"0.13\", expect_size=\"14358528\"] \n  4 -> 5 [size =\"14358528\"]\n  5 [size=\"83249152\", alpha=\"0.14\", expect_size=\"41624576\"] \n  5 -> 6 [size =\"41624576\"]\n  6 [size=\"49049600\", alpha=\"0.00\", expect_size=\"24524800\"] \n  6 -> 7 [size =\"24524800\"]\n  7 [size=\"100784128\", alpha=\"0.11\", expect_size=\"50392064\"] \n  7 -> 8 [size =\"50392064\"]\n  8 [size=\"36900864\", alpha=\"0.08\", expect_size=\"18450432\"] \n  8 -> 9 [size =\"18450432\"]\n  9 [size=\"31948800\", alpha=\"0.04\", expect_size=\"15974400\"] \n  9 -> 10 [size =\"15974400\"]\n  10 [size=\"32049152\", alpha=\"0.18\", expect_size=\"16024576\"] \n  10 -> 11 [size =\"16024576\"]\n  11 [size=\"68089856\", alpha=\"0.09\", expect_size=\"34044928\"] \n  11 -> 12 [size =\"34044928\"]\n  12 [size=\"14739456\", alpha=\"0.16\", expect_size=\"7369728\"] \n  12 -> 13 [size =\"7369728\"]\n  13 [size=\"99727360\", alpha=\"0.14\", expect_size=\"49863680\"] \n  13 -> 14 [size =\"49863680\"]\n  14 [size=\"30662656\", alpha=\"0.05\", expect_size=\"15331328\"] \n  14 -> 15 [size =\"15331328\"]\n  15 [size=\"93190144\", alpha=\"0.07\", expect_size=\"46595072\"] \n  15 -> 16 [size =\"46595072\"]\n  16 [size=\"62521344\", alpha=\"0.10\", expect_size=\"31260672\"] \n  16 -> 17 [size =\"31260672\"]\n  17 [size=\"62650368\", alpha=\"0.00\", expect_size=\"31325184\"] \n  17 -> 18 [size =\"31325184\"]\n  18 [size=\"19060736\", alpha=\"0.03\", expect_size=\"9530368\"] \n  18 -> 19 [size =\"9530368\"]\n  19 [size=\"58916864\", alpha=\"0.17\", expect_size=\"29458432\"] \n  19 -> 20 [size =\"29458432\"]\n  20 [size=\"78946304\", alpha=\"0.02\", expect_size=\"39473152\"] \n  20 -> 21 [size =\"39473152\"]\n  21 [size=\"71190528\", alpha=\"0.06\", expect_size=\"35595264\"] \n  21 -> 22 [size =\"35595264\"]\n  22 [size=\"21442560\", alpha=\"0.09\", expect_size=\"10721280\"] \n  22 -> 23 [size =\"10721280\"]\n  23 [size=\"98494464\", alpha=\"0.10\", expect_size=\"49247232\"] \n  23 -> 24 [size =\"49247232\"]\n  24 [size=\"69185536\", alpha=\"0.14\", expect_size=\"34592768\"] \n  24 -> 25 [size =\"34592768\"]\n  25 [size=\"93906944\", alpha=\"0.14\", expect_size=\"46953472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83466240\", alpha=\"0.18\", expect_size=\"25039872\"] \n  1 -> 2 [size =\"25039872\"]\n  2 [size=\"165700267\", alpha=\"0.19\", expect_size=\"49710080\"] \n  2 -> 3 [size =\"49710080\"]\n  2 -> 4 [size =\"49710080\"]\n  3 [size=\"89306453\", alpha=\"0.08\", expect_size=\"26791936\"] \n  4 [size=\"93702827\", alpha=\"0.04\", expect_size=\"28110848\"] \n  4 -> 5 [size =\"28110848\"]\n  5 [size=\"93429760\", alpha=\"0.06\", expect_size=\"28028928\"] \n  5 -> 6 [size =\"28028928\"]\n  5 -> 7 [size =\"28028928\"]\n  6 [size=\"149623467\", alpha=\"0.15\", expect_size=\"44887040\"] \n  7 [size=\"81954133\", alpha=\"0.11\", expect_size=\"24586240\"] \n  7 -> 8 [size =\"24586240\"]\n  8 [size=\"95764480\", alpha=\"0.07\", expect_size=\"28729344\"] \n  8 -> 9 [size =\"28729344\"]\n  8 -> 10 [size =\"28729344\"]\n  9 [size=\"33648640\", alpha=\"0.15\", expect_size=\"10094592\"] \n  10 [size=\"110690987\", alpha=\"0.20\", expect_size=\"33207296\"] \n  10 -> 11 [size =\"33207296\"]\n  11 [size=\"106659840\", alpha=\"0.06\", expect_size=\"31997952\"] \n  11 -> 12 [size =\"31997952\"]\n  11 -> 13 [size =\"31997952\"]\n  12 [size=\"93136213\", alpha=\"0.19\", expect_size=\"27940864\"] \n  12 -> 15 [size =\"27940864\"]\n  13 [size=\"82254507\", alpha=\"0.06\", expect_size=\"24676352\"] \n  13 -> 14 [size =\"24676352\"]\n  14 [size=\"144407893\", alpha=\"0.13\", expect_size=\"43322368\"] \n  14 -> 17 [size =\"43322368\"]\n  15 [size=\"18018987\", alpha=\"0.16\", expect_size=\"5405696\"] \n  15 -> 16 [size =\"5405696\"]\n  16 [size=\"62955520\", alpha=\"0.19\", expect_size=\"18886656\"] \n  16 -> 18 [size =\"18886656\"]\n  16 -> 19 [size =\"18886656\"]\n  17 [size=\"24408747\", alpha=\"0.08\", expect_size=\"7322624\"] \n  17 -> 18 [size =\"7322624\"]\n  18 [size=\"112414720\", alpha=\"0.10\", expect_size=\"33724416\"] \n  18 -> 20 [size =\"33724416\"]\n  19 [size=\"170960213\", alpha=\"0.05\", expect_size=\"51288064\"] \n  20 [size=\"128494933\", alpha=\"0.01\", expect_size=\"38548480\"] \n  20 -> 21 [size =\"38548480\"]\n  21 [size=\"125470720\", alpha=\"0.05\", expect_size=\"37641216\"] \n  21 -> 22 [size =\"37641216\"]\n  22 [size=\"19292160\", alpha=\"0.07\", expect_size=\"5787648\"] \n  22 -> 23 [size =\"5787648\"]\n  23 [size=\"168202240\", alpha=\"0.19\", expect_size=\"50460672\"] \n  23 -> 24 [size =\"50460672\"]\n  23 -> 25 [size =\"50460672\"]\n  24 [size=\"58494293\", alpha=\"0.01\", expect_size=\"17548288\"] \n  25 [size=\"160027307\", alpha=\"0.12\", expect_size=\"48008192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36723200\", alpha=\"0.13\", expect_size=\"14689280\"] \n  1 -> 9 [size =\"14689280\"]\n  1 -> 11 [size =\"14689280\"]\n  1 -> 12 [size =\"14689280\"]\n  1 -> 13 [size =\"14689280\"]\n  2 [size=\"79485440\", alpha=\"0.17\", expect_size=\"31794176\"] \n  2 -> 9 [size =\"31794176\"]\n  2 -> 11 [size =\"31794176\"]\n  2 -> 13 [size =\"31794176\"]\n  2 -> 13 [size =\"31794176\"]\n  2 -> 14 [size =\"31794176\"]\n  3 [size=\"28497920\", alpha=\"0.08\", expect_size=\"11399168\"] \n  3 -> 9 [size =\"11399168\"]\n  3 -> 10 [size =\"11399168\"]\n  3 -> 11 [size =\"11399168\"]\n  3 -> 13 [size =\"11399168\"]\n  4 [size=\"79009280\", alpha=\"0.01\", expect_size=\"31603712\"] \n  4 -> 10 [size =\"31603712\"]\n  4 -> 13 [size =\"31603712\"]\n  5 [size=\"130083840\", alpha=\"0.02\", expect_size=\"52033536\"] \n  5 -> 9 [size =\"52033536\"]\n  6 [size=\"53657600\", alpha=\"0.04\", expect_size=\"21463040\"] \n  6 -> 9 [size =\"21463040\"]\n  6 -> 14 [size =\"21463040\"]\n  7 [size=\"91215360\", alpha=\"0.11\", expect_size=\"36486144\"] \n  7 -> 10 [size =\"36486144\"]\n  7 -> 12 [size =\"36486144\"]\n  8 [size=\"107192320\", alpha=\"0.04\", expect_size=\"42876928\"] \n  8 -> 10 [size =\"42876928\"]\n  9 [size=\"29713920\", alpha=\"0.09\", expect_size=\"11885568\"] \n  9 -> 15 [size =\"11885568\"]\n  9 -> 19 [size =\"11885568\"]\n  10 [size=\"82106880\", alpha=\"0.10\", expect_size=\"32842752\"] \n  10 -> 15 [size =\"32842752\"]\n  10 -> 17 [size =\"32842752\"]\n  10 -> 18 [size =\"32842752\"]\n  11 [size=\"16583680\", alpha=\"0.04\", expect_size=\"6633472\"] \n  11 -> 15 [size =\"6633472\"]\n  11 -> 16 [size =\"6633472\"]\n  11 -> 18 [size =\"6633472\"]\n  11 -> 20 [size =\"6633472\"]\n  12 [size=\"91102720\", alpha=\"0.05\", expect_size=\"36441088\"] \n  12 -> 19 [size =\"36441088\"]\n  13 [size=\"75450880\", alpha=\"0.06\", expect_size=\"30180352\"] \n  13 -> 18 [size =\"30180352\"]\n  14 [size=\"121697280\", alpha=\"0.13\", expect_size=\"48678912\"] \n  14 -> 20 [size =\"48678912\"]\n  15 [size=\"129584640\", alpha=\"0.06\", expect_size=\"51833856\"] \n  15 -> 21 [size =\"51833856\"]\n  16 [size=\"25687040\", alpha=\"0.18\", expect_size=\"10274816\"] \n  17 [size=\"49730560\", alpha=\"0.07\", expect_size=\"19892224\"] \n  17 -> 21 [size =\"19892224\"]\n  17 -> 22 [size =\"19892224\"]\n  17 -> 23 [size =\"19892224\"]\n  17 -> 25 [size =\"19892224\"]\n  18 [size=\"114547200\", alpha=\"0.11\", expect_size=\"45818880\"] \n  18 -> 22 [size =\"45818880\"]\n  18 -> 23 [size =\"45818880\"]\n  19 [size=\"22574080\", alpha=\"0.02\", expect_size=\"9029632\"] \n  20 [size=\"75525120\", alpha=\"0.15\", expect_size=\"30210048\"] \n  20 -> 21 [size =\"30210048\"]\n  20 -> 22 [size =\"30210048\"]\n  20 -> 23 [size =\"30210048\"]\n  20 -> 24 [size =\"30210048\"]\n  20 -> 25 [size =\"30210048\"]\n  21 [size=\"15564800\", alpha=\"0.11\", expect_size=\"6225920\"] \n  22 [size=\"38174720\", alpha=\"0.20\", expect_size=\"15269888\"] \n  23 [size=\"66347520\", alpha=\"0.10\", expect_size=\"26539008\"] \n  24 [size=\"102520320\", alpha=\"0.12\", expect_size=\"41008128\"] \n  25 [size=\"63511040\", alpha=\"0.14\", expect_size=\"25404416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123924480\", alpha=\"0.20\", expect_size=\"37177344\"] \n  1 -> 4 [size =\"37177344\"]\n  1 -> 5 [size =\"37177344\"]\n  2 [size=\"115411627\", alpha=\"0.03\", expect_size=\"34623488\"] \n  2 -> 4 [size =\"34623488\"]\n  2 -> 6 [size =\"34623488\"]\n  2 -> 7 [size =\"34623488\"]\n  3 [size=\"31887360\", alpha=\"0.13\", expect_size=\"9566208\"] \n  3 -> 5 [size =\"9566208\"]\n  3 -> 7 [size =\"9566208\"]\n  4 [size=\"70222507\", alpha=\"0.04\", expect_size=\"21066752\"] \n  4 -> 10 [size =\"21066752\"]\n  5 [size=\"133051733\", alpha=\"0.14\", expect_size=\"39915520\"] \n  5 -> 8 [size =\"39915520\"]\n  5 -> 11 [size =\"39915520\"]\n  6 [size=\"69799253\", alpha=\"0.16\", expect_size=\"20939776\"] \n  6 -> 8 [size =\"20939776\"]\n  6 -> 9 [size =\"20939776\"]\n  6 -> 11 [size =\"20939776\"]\n  7 [size=\"72345600\", alpha=\"0.04\", expect_size=\"21703680\"] \n  7 -> 9 [size =\"21703680\"]\n  7 -> 11 [size =\"21703680\"]\n  8 [size=\"155108693\", alpha=\"0.17\", expect_size=\"46532608\"] \n  8 -> 13 [size =\"46532608\"]\n  9 [size=\"45643093\", alpha=\"0.09\", expect_size=\"13692928\"] \n  9 -> 12 [size =\"13692928\"]\n  10 [size=\"62460587\", alpha=\"0.05\", expect_size=\"18738176\"] \n  10 -> 13 [size =\"18738176\"]\n  11 [size=\"66153813\", alpha=\"0.09\", expect_size=\"19846144\"] \n  11 -> 13 [size =\"19846144\"]\n  12 [size=\"62709760\", alpha=\"0.09\", expect_size=\"18812928\"] \n  12 -> 14 [size =\"18812928\"]\n  12 -> 15 [size =\"18812928\"]\n  12 -> 17 [size =\"18812928\"]\n  13 [size=\"87176533\", alpha=\"0.09\", expect_size=\"26152960\"] \n  13 -> 14 [size =\"26152960\"]\n  13 -> 15 [size =\"26152960\"]\n  13 -> 16 [size =\"26152960\"]\n  13 -> 18 [size =\"26152960\"]\n  14 [size=\"34348373\", alpha=\"0.08\", expect_size=\"10304512\"] \n  14 -> 19 [size =\"10304512\"]\n  14 -> 20 [size =\"10304512\"]\n  14 -> 23 [size =\"10304512\"]\n  15 [size=\"69509120\", alpha=\"0.19\", expect_size=\"20852736\"] \n  15 -> 19 [size =\"20852736\"]\n  15 -> 21 [size =\"20852736\"]\n  15 -> 23 [size =\"20852736\"]\n  16 [size=\"25750187\", alpha=\"0.03\", expect_size=\"7725056\"] \n  16 -> 20 [size =\"7725056\"]\n  16 -> 21 [size =\"7725056\"]\n  16 -> 22 [size =\"7725056\"]\n  17 [size=\"152337067\", alpha=\"0.01\", expect_size=\"45701120\"] \n  17 -> 21 [size =\"45701120\"]\n  17 -> 22 [size =\"45701120\"]\n  18 [size=\"29972480\", alpha=\"0.03\", expect_size=\"8991744\"] \n  18 -> 19 [size =\"8991744\"]\n  18 -> 23 [size =\"8991744\"]\n  19 [size=\"166956373\", alpha=\"0.19\", expect_size=\"50086912\"] \n  19 -> 24 [size =\"50086912\"]\n  20 [size=\"80452267\", alpha=\"0.14\", expect_size=\"24135680\"] \n  20 -> 24 [size =\"24135680\"]\n  20 -> 25 [size =\"24135680\"]\n  21 [size=\"116445867\", alpha=\"0.02\", expect_size=\"34933760\"] \n  22 [size=\"32238933\", alpha=\"0.02\", expect_size=\"9671680\"] \n  23 [size=\"101471573\", alpha=\"0.04\", expect_size=\"30441472\"] \n  24 [size=\"171516587\", alpha=\"0.13\", expect_size=\"51454976\"] \n  25 [size=\"75414187\", alpha=\"0.17\", expect_size=\"22624256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31092053\", alpha=\"0.19\", expect_size=\"9327616\"] \n  1 -> 3 [size =\"9327616\"]\n  1 -> 4 [size =\"9327616\"]\n  2 [size=\"35389440\", alpha=\"0.05\", expect_size=\"10616832\"] \n  2 -> 3 [size =\"10616832\"]\n  2 -> 4 [size =\"10616832\"]\n  3 [size=\"148807680\", alpha=\"0.19\", expect_size=\"44642304\"] \n  3 -> 5 [size =\"44642304\"]\n  4 [size=\"138533547\", alpha=\"0.06\", expect_size=\"41560064\"] \n  4 -> 6 [size =\"41560064\"]\n  5 [size=\"114940587\", alpha=\"0.15\", expect_size=\"34482176\"] \n  5 -> 7 [size =\"34482176\"]\n  6 [size=\"113513813\", alpha=\"0.05\", expect_size=\"34054144\"] \n  6 -> 7 [size =\"34054144\"]\n  6 -> 8 [size =\"34054144\"]\n  7 [size=\"64030720\", alpha=\"0.01\", expect_size=\"19209216\"] \n  7 -> 9 [size =\"19209216\"]\n  8 [size=\"98870613\", alpha=\"0.06\", expect_size=\"29661184\"] \n  8 -> 10 [size =\"29661184\"]\n  9 [size=\"153565867\", alpha=\"0.19\", expect_size=\"46069760\"] \n  9 -> 11 [size =\"46069760\"]\n  10 [size=\"122163200\", alpha=\"0.13\", expect_size=\"36648960\"] \n  11 [size=\"41830400\", alpha=\"0.17\", expect_size=\"12549120\"] \n  11 -> 12 [size =\"12549120\"]\n  11 -> 13 [size =\"12549120\"]\n  12 [size=\"37580800\", alpha=\"0.18\", expect_size=\"11274240\"] \n  12 -> 14 [size =\"11274240\"]\n  13 [size=\"73369600\", alpha=\"0.03\", expect_size=\"22010880\"] \n  14 [size=\"63327573\", alpha=\"0.09\", expect_size=\"18998272\"] \n  14 -> 15 [size =\"18998272\"]\n  15 [size=\"113312427\", alpha=\"0.00\", expect_size=\"33993728\"] \n  15 -> 16 [size =\"33993728\"]\n  15 -> 17 [size =\"33993728\"]\n  16 [size=\"71051947\", alpha=\"0.02\", expect_size=\"21315584\"] \n  16 -> 19 [size =\"21315584\"]\n  17 [size=\"108748800\", alpha=\"0.19\", expect_size=\"32624640\"] \n  17 -> 18 [size =\"32624640\"]\n  18 [size=\"115688107\", alpha=\"0.10\", expect_size=\"34706432\"] \n  18 -> 21 [size =\"34706432\"]\n  19 [size=\"164502187\", alpha=\"0.15\", expect_size=\"49350656\"] \n  19 -> 20 [size =\"49350656\"]\n  19 -> 21 [size =\"49350656\"]\n  20 [size=\"156846080\", alpha=\"0.08\", expect_size=\"47053824\"] \n  20 -> 22 [size =\"47053824\"]\n  21 [size=\"101160960\", alpha=\"0.04\", expect_size=\"30348288\"] \n  21 -> 22 [size =\"30348288\"]\n  22 [size=\"76642987\", alpha=\"0.02\", expect_size=\"22992896\"] \n  22 -> 23 [size =\"22992896\"]\n  22 -> 24 [size =\"22992896\"]\n  23 [size=\"61300053\", alpha=\"0.16\", expect_size=\"18390016\"] \n  23 -> 25 [size =\"18390016\"]\n  24 [size=\"83473067\", alpha=\"0.06\", expect_size=\"25041920\"] \n  24 -> 25 [size =\"25041920\"]\n  25 [size=\"154129067\", alpha=\"0.08\", expect_size=\"46238720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58917547\", alpha=\"0.10\", expect_size=\"17675264\"] \n  1 -> 2 [size =\"17675264\"]\n  2 [size=\"134256640\", alpha=\"0.07\", expect_size=\"40276992\"] \n  2 -> 3 [size =\"40276992\"]\n  3 [size=\"171601920\", alpha=\"0.02\", expect_size=\"51480576\"] \n  3 -> 4 [size =\"51480576\"]\n  4 [size=\"75226453\", alpha=\"0.06\", expect_size=\"22567936\"] \n  4 -> 5 [size =\"22567936\"]\n  5 [size=\"148763307\", alpha=\"0.15\", expect_size=\"44628992\"] \n  5 -> 6 [size =\"44628992\"]\n  6 [size=\"41308160\", alpha=\"0.07\", expect_size=\"12392448\"] \n  6 -> 7 [size =\"12392448\"]\n  7 [size=\"82350080\", alpha=\"0.17\", expect_size=\"24705024\"] \n  7 -> 8 [size =\"24705024\"]\n  8 [size=\"82800640\", alpha=\"0.07\", expect_size=\"24840192\"] \n  8 -> 9 [size =\"24840192\"]\n  9 [size=\"160942080\", alpha=\"0.04\", expect_size=\"48282624\"] \n  9 -> 10 [size =\"48282624\"]\n  10 [size=\"72751787\", alpha=\"0.08\", expect_size=\"21825536\"] \n  10 -> 11 [size =\"21825536\"]\n  11 [size=\"107970560\", alpha=\"0.12\", expect_size=\"32391168\"] \n  11 -> 12 [size =\"32391168\"]\n  12 [size=\"30074880\", alpha=\"0.19\", expect_size=\"9022464\"] \n  12 -> 13 [size =\"9022464\"]\n  13 [size=\"82862080\", alpha=\"0.13\", expect_size=\"24858624\"] \n  13 -> 14 [size =\"24858624\"]\n  14 [size=\"102509227\", alpha=\"0.00\", expect_size=\"30752768\"] \n  14 -> 15 [size =\"30752768\"]\n  15 [size=\"147572053\", alpha=\"0.05\", expect_size=\"44271616\"] \n  15 -> 16 [size =\"44271616\"]\n  16 [size=\"107216213\", alpha=\"0.12\", expect_size=\"32164864\"] \n  16 -> 17 [size =\"32164864\"]\n  17 [size=\"164706987\", alpha=\"0.15\", expect_size=\"49412096\"] \n  17 -> 18 [size =\"49412096\"]\n  18 [size=\"138850987\", alpha=\"0.10\", expect_size=\"41655296\"] \n  18 -> 19 [size =\"41655296\"]\n  19 [size=\"34170880\", alpha=\"0.02\", expect_size=\"10251264\"] \n  19 -> 20 [size =\"10251264\"]\n  20 [size=\"66205013\", alpha=\"0.07\", expect_size=\"19861504\"] \n  20 -> 21 [size =\"19861504\"]\n  21 [size=\"125754027\", alpha=\"0.18\", expect_size=\"37726208\"] \n  21 -> 22 [size =\"37726208\"]\n  22 [size=\"64720213\", alpha=\"0.03\", expect_size=\"19416064\"] \n  22 -> 23 [size =\"19416064\"]\n  23 [size=\"59432960\", alpha=\"0.07\", expect_size=\"17829888\"] \n  23 -> 24 [size =\"17829888\"]\n  24 [size=\"162392747\", alpha=\"0.20\", expect_size=\"48717824\"] \n  24 -> 25 [size =\"48717824\"]\n  25 [size=\"164669440\", alpha=\"0.08\", expect_size=\"49400832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31213568\", alpha=\"0.08\", expect_size=\"15606784\"] \n  1 -> 2 [size =\"15606784\"]\n  2 [size=\"97718272\", alpha=\"0.01\", expect_size=\"48859136\"] \n  2 -> 3 [size =\"48859136\"]\n  3 [size=\"93298688\", alpha=\"0.19\", expect_size=\"46649344\"] \n  3 -> 4 [size =\"46649344\"]\n  4 [size=\"95768576\", alpha=\"0.11\", expect_size=\"47884288\"] \n  4 -> 5 [size =\"47884288\"]\n  5 [size=\"19128320\", alpha=\"0.12\", expect_size=\"9564160\"] \n  5 -> 6 [size =\"9564160\"]\n  6 [size=\"17623040\", alpha=\"0.11\", expect_size=\"8811520\"] \n  6 -> 7 [size =\"8811520\"]\n  7 [size=\"23371776\", alpha=\"0.00\", expect_size=\"11685888\"] \n  7 -> 8 [size =\"11685888\"]\n  8 [size=\"15714304\", alpha=\"0.01\", expect_size=\"7857152\"] \n  8 -> 9 [size =\"7857152\"]\n  9 [size=\"51511296\", alpha=\"0.01\", expect_size=\"25755648\"] \n  9 -> 10 [size =\"25755648\"]\n  10 [size=\"55570432\", alpha=\"0.09\", expect_size=\"27785216\"] \n  10 -> 11 [size =\"27785216\"]\n  11 [size=\"25122816\", alpha=\"0.02\", expect_size=\"12561408\"] \n  11 -> 12 [size =\"12561408\"]\n  12 [size=\"61818880\", alpha=\"0.12\", expect_size=\"30909440\"] \n  12 -> 13 [size =\"30909440\"]\n  13 [size=\"67420160\", alpha=\"0.14\", expect_size=\"33710080\"] \n  13 -> 14 [size =\"33710080\"]\n  14 [size=\"62916608\", alpha=\"0.18\", expect_size=\"31458304\"] \n  14 -> 15 [size =\"31458304\"]\n  15 [size=\"20787200\", alpha=\"0.10\", expect_size=\"10393600\"] \n  15 -> 16 [size =\"10393600\"]\n  16 [size=\"79233024\", alpha=\"0.06\", expect_size=\"39616512\"] \n  16 -> 17 [size =\"39616512\"]\n  17 [size=\"37967872\", alpha=\"0.00\", expect_size=\"18983936\"] \n  17 -> 18 [size =\"18983936\"]\n  18 [size=\"39221248\", alpha=\"0.03\", expect_size=\"19610624\"] \n  18 -> 19 [size =\"19610624\"]\n  19 [size=\"42768384\", alpha=\"0.19\", expect_size=\"21384192\"] \n  19 -> 20 [size =\"21384192\"]\n  20 [size=\"47308800\", alpha=\"0.06\", expect_size=\"23654400\"] \n  20 -> 21 [size =\"23654400\"]\n  21 [size=\"90855424\", alpha=\"0.18\", expect_size=\"45427712\"] \n  21 -> 22 [size =\"45427712\"]\n  22 [size=\"101244928\", alpha=\"0.08\", expect_size=\"50622464\"] \n  22 -> 23 [size =\"50622464\"]\n  23 [size=\"62318592\", alpha=\"0.16\", expect_size=\"31159296\"] \n  23 -> 24 [size =\"31159296\"]\n  24 [size=\"36308992\", alpha=\"0.02\", expect_size=\"18154496\"] \n  24 -> 25 [size =\"18154496\"]\n  25 [size=\"26902528\", alpha=\"0.09\", expect_size=\"13451264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130247680\", alpha=\"0.08\", expect_size=\"52099072\"] \n  1 -> 12 [size =\"52099072\"]\n  1 -> 13 [size =\"52099072\"]\n  1 -> 14 [size =\"52099072\"]\n  1 -> 16 [size =\"52099072\"]\n  1 -> 19 [size =\"52099072\"]\n  1 -> 20 [size =\"52099072\"]\n  1 -> 21 [size =\"52099072\"]\n  1 -> 22 [size =\"52099072\"]\n  1 -> 24 [size =\"52099072\"]\n  2 [size=\"17433600\", alpha=\"0.11\", expect_size=\"6973440\"] \n  2 -> 12 [size =\"6973440\"]\n  2 -> 14 [size =\"6973440\"]\n  2 -> 16 [size =\"6973440\"]\n  2 -> 16 [size =\"6973440\"]\n  2 -> 19 [size =\"6973440\"]\n  2 -> 20 [size =\"6973440\"]\n  2 -> 21 [size =\"6973440\"]\n  2 -> 23 [size =\"6973440\"]\n  3 [size=\"33070080\", alpha=\"0.04\", expect_size=\"13228032\"] \n  3 -> 12 [size =\"13228032\"]\n  3 -> 13 [size =\"13228032\"]\n  3 -> 16 [size =\"13228032\"]\n  3 -> 18 [size =\"13228032\"]\n  3 -> 19 [size =\"13228032\"]\n  3 -> 20 [size =\"13228032\"]\n  3 -> 21 [size =\"13228032\"]\n  3 -> 22 [size =\"13228032\"]\n  4 [size=\"102556160\", alpha=\"0.10\", expect_size=\"41022464\"] \n  4 -> 12 [size =\"41022464\"]\n  4 -> 13 [size =\"41022464\"]\n  4 -> 14 [size =\"41022464\"]\n  4 -> 16 [size =\"41022464\"]\n  4 -> 17 [size =\"41022464\"]\n  4 -> 18 [size =\"41022464\"]\n  4 -> 20 [size =\"41022464\"]\n  4 -> 21 [size =\"41022464\"]\n  4 -> 22 [size =\"41022464\"]\n  4 -> 24 [size =\"41022464\"]\n  5 [size=\"63016960\", alpha=\"0.05\", expect_size=\"25206784\"] \n  5 -> 12 [size =\"25206784\"]\n  5 -> 13 [size =\"25206784\"]\n  5 -> 14 [size =\"25206784\"]\n  5 -> 16 [size =\"25206784\"]\n  5 -> 20 [size =\"25206784\"]\n  5 -> 21 [size =\"25206784\"]\n  5 -> 22 [size =\"25206784\"]\n  6 [size=\"17838080\", alpha=\"0.00\", expect_size=\"7135232\"] \n  6 -> 13 [size =\"7135232\"]\n  6 -> 14 [size =\"7135232\"]\n  6 -> 14 [size =\"7135232\"]\n  6 -> 16 [size =\"7135232\"]\n  6 -> 17 [size =\"7135232\"]\n  6 -> 19 [size =\"7135232\"]\n  6 -> 20 [size =\"7135232\"]\n  6 -> 21 [size =\"7135232\"]\n  6 -> 22 [size =\"7135232\"]\n  6 -> 25 [size =\"7135232\"]\n  7 [size=\"88614400\", alpha=\"0.09\", expect_size=\"35445760\"] \n  7 -> 12 [size =\"35445760\"]\n  7 -> 14 [size =\"35445760\"]\n  7 -> 19 [size =\"35445760\"]\n  7 -> 21 [size =\"35445760\"]\n  7 -> 22 [size =\"35445760\"]\n  7 -> 25 [size =\"35445760\"]\n  8 [size=\"88312320\", alpha=\"0.03\", expect_size=\"35324928\"] \n  8 -> 12 [size =\"35324928\"]\n  8 -> 14 [size =\"35324928\"]\n  8 -> 16 [size =\"35324928\"]\n  8 -> 17 [size =\"35324928\"]\n  8 -> 18 [size =\"35324928\"]\n  8 -> 19 [size =\"35324928\"]\n  8 -> 20 [size =\"35324928\"]\n  8 -> 25 [size =\"35324928\"]\n  9 [size=\"77598720\", alpha=\"0.12\", expect_size=\"31039488\"] \n  9 -> 12 [size =\"31039488\"]\n  9 -> 15 [size =\"31039488\"]\n  9 -> 17 [size =\"31039488\"]\n  9 -> 19 [size =\"31039488\"]\n  9 -> 20 [size =\"31039488\"]\n  9 -> 21 [size =\"31039488\"]\n  9 -> 22 [size =\"31039488\"]\n  9 -> 24 [size =\"31039488\"]\n  9 -> 25 [size =\"31039488\"]\n  10 [size=\"22492160\", alpha=\"0.15\", expect_size=\"8996864\"] \n  10 -> 19 [size =\"8996864\"]\n  10 -> 20 [size =\"8996864\"]\n  10 -> 21 [size =\"8996864\"]\n  10 -> 22 [size =\"8996864\"]\n  10 -> 24 [size =\"8996864\"]\n  11 [size=\"79203840\", alpha=\"0.18\", expect_size=\"31681536\"] \n  11 -> 12 [size =\"31681536\"]\n  11 -> 14 [size =\"31681536\"]\n  11 -> 15 [size =\"31681536\"]\n  11 -> 19 [size =\"31681536\"]\n  11 -> 20 [size =\"31681536\"]\n  11 -> 21 [size =\"31681536\"]\n  11 -> 22 [size =\"31681536\"]\n  11 -> 23 [size =\"31681536\"]\n  11 -> 24 [size =\"31681536\"]\n  11 -> 25 [size =\"31681536\"]\n  12 [size=\"126561280\", alpha=\"0.06\", expect_size=\"50624512\"] \n  13 [size=\"70873600\", alpha=\"0.09\", expect_size=\"28349440\"] \n  14 [size=\"93022720\", alpha=\"0.16\", expect_size=\"37209088\"] \n  15 [size=\"33254400\", alpha=\"0.03\", expect_size=\"13301760\"] \n  16 [size=\"65533440\", alpha=\"0.18\", expect_size=\"26213376\"] \n  17 [size=\"67002880\", alpha=\"0.01\", expect_size=\"26801152\"] \n  18 [size=\"118341120\", alpha=\"0.03\", expect_size=\"47336448\"] \n  19 [size=\"19225600\", alpha=\"0.08\", expect_size=\"7690240\"] \n  20 [size=\"88529920\", alpha=\"0.14\", expect_size=\"35411968\"] \n  21 [size=\"59420160\", alpha=\"0.19\", expect_size=\"23768064\"] \n  22 [size=\"49349120\", alpha=\"0.05\", expect_size=\"19739648\"] \n  23 [size=\"86929920\", alpha=\"0.14\", expect_size=\"34771968\"] \n  24 [size=\"23795200\", alpha=\"0.18\", expect_size=\"9518080\"] \n  25 [size=\"120491520\", alpha=\"0.11\", expect_size=\"48196608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71190528\", alpha=\"0.04\", expect_size=\"35595264\"] \n  1 -> 2 [size =\"35595264\"]\n  2 [size=\"86161408\", alpha=\"0.01\", expect_size=\"43080704\"] \n  2 -> 3 [size =\"43080704\"]\n  3 [size=\"75577344\", alpha=\"0.13\", expect_size=\"37788672\"] \n  3 -> 4 [size =\"37788672\"]\n  4 [size=\"104644608\", alpha=\"0.03\", expect_size=\"52322304\"] \n  4 -> 5 [size =\"52322304\"]\n  5 [size=\"22892544\", alpha=\"0.08\", expect_size=\"11446272\"] \n  5 -> 6 [size =\"11446272\"]\n  6 [size=\"100745216\", alpha=\"0.00\", expect_size=\"50372608\"] \n  6 -> 7 [size =\"50372608\"]\n  7 [size=\"22315008\", alpha=\"0.19\", expect_size=\"11157504\"] \n  7 -> 8 [size =\"11157504\"]\n  8 [size=\"94126080\", alpha=\"0.11\", expect_size=\"47063040\"] \n  8 -> 9 [size =\"47063040\"]\n  9 [size=\"14553088\", alpha=\"0.07\", expect_size=\"7276544\"] \n  9 -> 10 [size =\"7276544\"]\n  10 [size=\"86829056\", alpha=\"0.05\", expect_size=\"43414528\"] \n  10 -> 11 [size =\"43414528\"]\n  11 [size=\"96573440\", alpha=\"0.15\", expect_size=\"48286720\"] \n  11 -> 12 [size =\"48286720\"]\n  12 [size=\"19212288\", alpha=\"0.10\", expect_size=\"9606144\"] \n  12 -> 13 [size =\"9606144\"]\n  13 [size=\"22523904\", alpha=\"0.11\", expect_size=\"11261952\"] \n  13 -> 14 [size =\"11261952\"]\n  14 [size=\"83042304\", alpha=\"0.18\", expect_size=\"41521152\"] \n  14 -> 15 [size =\"41521152\"]\n  15 [size=\"95219712\", alpha=\"0.07\", expect_size=\"47609856\"] \n  15 -> 16 [size =\"47609856\"]\n  16 [size=\"40544256\", alpha=\"0.01\", expect_size=\"20272128\"] \n  16 -> 17 [size =\"20272128\"]\n  17 [size=\"42088448\", alpha=\"0.06\", expect_size=\"21044224\"] \n  17 -> 18 [size =\"21044224\"]\n  18 [size=\"36329472\", alpha=\"0.15\", expect_size=\"18164736\"] \n  18 -> 19 [size =\"18164736\"]\n  19 [size=\"86073344\", alpha=\"0.11\", expect_size=\"43036672\"] \n  19 -> 20 [size =\"43036672\"]\n  20 [size=\"23322624\", alpha=\"0.05\", expect_size=\"11661312\"] \n  20 -> 21 [size =\"11661312\"]\n  21 [size=\"46196736\", alpha=\"0.11\", expect_size=\"23098368\"] \n  21 -> 22 [size =\"23098368\"]\n  22 [size=\"21774336\", alpha=\"0.13\", expect_size=\"10887168\"] \n  22 -> 23 [size =\"10887168\"]\n  23 [size=\"67737600\", alpha=\"0.09\", expect_size=\"33868800\"] \n  23 -> 24 [size =\"33868800\"]\n  24 [size=\"24956928\", alpha=\"0.05\", expect_size=\"12478464\"] \n  24 -> 25 [size =\"12478464\"]\n  25 [size=\"14006272\", alpha=\"0.03\", expect_size=\"7003136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74962944\", alpha=\"0.08\", expect_size=\"37481472\"] \n  1 -> 2 [size =\"37481472\"]\n  2 [size=\"36364288\", alpha=\"0.11\", expect_size=\"18182144\"] \n  2 -> 3 [size =\"18182144\"]\n  2 -> 4 [size =\"18182144\"]\n  3 [size=\"20862976\", alpha=\"0.12\", expect_size=\"10431488\"] \n  3 -> 5 [size =\"10431488\"]\n  4 [size=\"104544256\", alpha=\"0.05\", expect_size=\"52272128\"] \n  5 [size=\"20215808\", alpha=\"0.20\", expect_size=\"10107904\"] \n  5 -> 6 [size =\"10107904\"]\n  5 -> 7 [size =\"10107904\"]\n  6 [size=\"62717952\", alpha=\"0.18\", expect_size=\"31358976\"] \n  6 -> 8 [size =\"31358976\"]\n  6 -> 9 [size =\"31358976\"]\n  7 [size=\"96522240\", alpha=\"0.06\", expect_size=\"48261120\"] \n  8 [size=\"49061888\", alpha=\"0.05\", expect_size=\"24530944\"] \n  9 [size=\"93861888\", alpha=\"0.13\", expect_size=\"46930944\"] \n  9 -> 10 [size =\"46930944\"]\n  10 [size=\"16838656\", alpha=\"0.15\", expect_size=\"8419328\"] \n  10 -> 11 [size =\"8419328\"]\n  11 [size=\"68501504\", alpha=\"0.04\", expect_size=\"34250752\"] \n  11 -> 12 [size =\"34250752\"]\n  12 [size=\"104278016\", alpha=\"0.08\", expect_size=\"52139008\"] \n  12 -> 13 [size =\"52139008\"]\n  13 [size=\"63500288\", alpha=\"0.06\", expect_size=\"31750144\"] \n  13 -> 14 [size =\"31750144\"]\n  14 [size=\"23621632\", alpha=\"0.04\", expect_size=\"11810816\"] \n  14 -> 15 [size =\"11810816\"]\n  14 -> 16 [size =\"11810816\"]\n  15 [size=\"49489920\", alpha=\"0.04\", expect_size=\"24744960\"] \n  15 -> 17 [size =\"24744960\"]\n  16 [size=\"48207872\", alpha=\"0.17\", expect_size=\"24103936\"] \n  17 [size=\"40364032\", alpha=\"0.15\", expect_size=\"20182016\"] \n  17 -> 18 [size =\"20182016\"]\n  18 [size=\"70621184\", alpha=\"0.18\", expect_size=\"35310592\"] \n  18 -> 19 [size =\"35310592\"]\n  19 [size=\"93423616\", alpha=\"0.05\", expect_size=\"46711808\"] \n  19 -> 20 [size =\"46711808\"]\n  20 [size=\"60323840\", alpha=\"0.02\", expect_size=\"30161920\"] \n  20 -> 21 [size =\"30161920\"]\n  20 -> 22 [size =\"30161920\"]\n  21 [size=\"38445056\", alpha=\"0.13\", expect_size=\"19222528\"] \n  21 -> 23 [size =\"19222528\"]\n  22 [size=\"59555840\", alpha=\"0.09\", expect_size=\"29777920\"] \n  23 [size=\"95115264\", alpha=\"0.08\", expect_size=\"47557632\"] \n  23 -> 24 [size =\"47557632\"]\n  23 -> 25 [size =\"47557632\"]\n  24 [size=\"29022208\", alpha=\"0.06\", expect_size=\"14511104\"] \n  25 [size=\"45895680\", alpha=\"0.07\", expect_size=\"22947840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109694293\", alpha=\"0.07\", expect_size=\"32908288\"] \n  1 -> 9 [size =\"32908288\"]\n  1 -> 10 [size =\"32908288\"]\n  1 -> 12 [size =\"32908288\"]\n  1 -> 13 [size =\"32908288\"]\n  2 [size=\"29310293\", alpha=\"0.00\", expect_size=\"8793088\"] \n  2 -> 9 [size =\"8793088\"]\n  2 -> 11 [size =\"8793088\"]\n  2 -> 13 [size =\"8793088\"]\n  2 -> 13 [size =\"8793088\"]\n  2 -> 14 [size =\"8793088\"]\n  2 -> 15 [size =\"8793088\"]\n  3 [size=\"42721280\", alpha=\"0.05\", expect_size=\"12816384\"] \n  3 -> 14 [size =\"12816384\"]\n  3 -> 15 [size =\"12816384\"]\n  3 -> 16 [size =\"12816384\"]\n  4 [size=\"138639360\", alpha=\"0.08\", expect_size=\"41591808\"] \n  4 -> 9 [size =\"41591808\"]\n  4 -> 10 [size =\"41591808\"]\n  4 -> 11 [size =\"41591808\"]\n  4 -> 14 [size =\"41591808\"]\n  5 [size=\"32389120\", alpha=\"0.03\", expect_size=\"9716736\"] \n  5 -> 10 [size =\"9716736\"]\n  5 -> 11 [size =\"9716736\"]\n  5 -> 13 [size =\"9716736\"]\n  5 -> 15 [size =\"9716736\"]\n  6 [size=\"84186453\", alpha=\"0.02\", expect_size=\"25255936\"] \n  6 -> 9 [size =\"25255936\"]\n  6 -> 12 [size =\"25255936\"]\n  6 -> 13 [size =\"25255936\"]\n  6 -> 14 [size =\"25255936\"]\n  6 -> 16 [size =\"25255936\"]\n  7 [size=\"171001173\", alpha=\"0.18\", expect_size=\"51300352\"] \n  7 -> 9 [size =\"51300352\"]\n  7 -> 13 [size =\"51300352\"]\n  7 -> 13 [size =\"51300352\"]\n  7 -> 14 [size =\"51300352\"]\n  7 -> 16 [size =\"51300352\"]\n  8 [size=\"19592533\", alpha=\"0.07\", expect_size=\"5877760\"] \n  8 -> 9 [size =\"5877760\"]\n  8 -> 10 [size =\"5877760\"]\n  8 -> 12 [size =\"5877760\"]\n  8 -> 13 [size =\"5877760\"]\n  8 -> 14 [size =\"5877760\"]\n  8 -> 16 [size =\"5877760\"]\n  9 [size=\"88603307\", alpha=\"0.10\", expect_size=\"26580992\"] \n  9 -> 18 [size =\"26580992\"]\n  9 -> 19 [size =\"26580992\"]\n  9 -> 22 [size =\"26580992\"]\n  9 -> 23 [size =\"26580992\"]\n  9 -> 24 [size =\"26580992\"]\n  9 -> 25 [size =\"26580992\"]\n  10 [size=\"94040747\", alpha=\"0.19\", expect_size=\"28212224\"] \n  10 -> 18 [size =\"28212224\"]\n  10 -> 23 [size =\"28212224\"]\n  10 -> 24 [size =\"28212224\"]\n  10 -> 25 [size =\"28212224\"]\n  11 [size=\"64747520\", alpha=\"0.09\", expect_size=\"19424256\"] \n  11 -> 18 [size =\"19424256\"]\n  11 -> 19 [size =\"19424256\"]\n  11 -> 20 [size =\"19424256\"]\n  11 -> 21 [size =\"19424256\"]\n  11 -> 25 [size =\"19424256\"]\n  12 [size=\"122542080\", alpha=\"0.05\", expect_size=\"36762624\"] \n  12 -> 18 [size =\"36762624\"]\n  12 -> 19 [size =\"36762624\"]\n  12 -> 20 [size =\"36762624\"]\n  12 -> 21 [size =\"36762624\"]\n  12 -> 22 [size =\"36762624\"]\n  12 -> 25 [size =\"36762624\"]\n  13 [size=\"123985920\", alpha=\"0.00\", expect_size=\"37195776\"] \n  13 -> 19 [size =\"37195776\"]\n  13 -> 20 [size =\"37195776\"]\n  13 -> 20 [size =\"37195776\"]\n  13 -> 21 [size =\"37195776\"]\n  13 -> 22 [size =\"37195776\"]\n  13 -> 24 [size =\"37195776\"]\n  14 [size=\"161430187\", alpha=\"0.17\", expect_size=\"48429056\"] \n  14 -> 20 [size =\"48429056\"]\n  14 -> 21 [size =\"48429056\"]\n  14 -> 24 [size =\"48429056\"]\n  15 [size=\"64348160\", alpha=\"0.14\", expect_size=\"19304448\"] \n  15 -> 17 [size =\"19304448\"]\n  15 -> 20 [size =\"19304448\"]\n  15 -> 21 [size =\"19304448\"]\n  15 -> 23 [size =\"19304448\"]\n  15 -> 24 [size =\"19304448\"]\n  16 [size=\"86005760\", alpha=\"0.04\", expect_size=\"25801728\"] \n  16 -> 17 [size =\"25801728\"]\n  16 -> 19 [size =\"25801728\"]\n  16 -> 20 [size =\"25801728\"]\n  16 -> 23 [size =\"25801728\"]\n  16 -> 24 [size =\"25801728\"]\n  16 -> 25 [size =\"25801728\"]\n  17 [size=\"99928747\", alpha=\"0.07\", expect_size=\"29978624\"] \n  18 [size=\"81237333\", alpha=\"0.18\", expect_size=\"24371200\"] \n  19 [size=\"132413440\", alpha=\"0.02\", expect_size=\"39724032\"] \n  20 [size=\"51616427\", alpha=\"0.11\", expect_size=\"15484928\"] \n  21 [size=\"43711147\", alpha=\"0.13\", expect_size=\"13113344\"] \n  22 [size=\"116125013\", alpha=\"0.15\", expect_size=\"34837504\"] \n  23 [size=\"157702827\", alpha=\"0.01\", expect_size=\"47310848\"] \n  24 [size=\"160194560\", alpha=\"0.03\", expect_size=\"48058368\"] \n  25 [size=\"133143893\", alpha=\"0.06\", expect_size=\"39943168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16555520\", alpha=\"0.17\", expect_size=\"6622208\"] \n  1 -> 2 [size =\"6622208\"]\n  2 [size=\"115668480\", alpha=\"0.05\", expect_size=\"46267392\"] \n  2 -> 3 [size =\"46267392\"]\n  3 [size=\"61470720\", alpha=\"0.13\", expect_size=\"24588288\"] \n  3 -> 4 [size =\"24588288\"]\n  4 [size=\"29795840\", alpha=\"0.20\", expect_size=\"11918336\"] \n  4 -> 5 [size =\"11918336\"]\n  5 [size=\"65556480\", alpha=\"0.02\", expect_size=\"26222592\"] \n  5 -> 6 [size =\"26222592\"]\n  6 [size=\"105282560\", alpha=\"0.13\", expect_size=\"42113024\"] \n  6 -> 7 [size =\"42113024\"]\n  7 [size=\"114854400\", alpha=\"0.01\", expect_size=\"45941760\"] \n  7 -> 8 [size =\"45941760\"]\n  8 [size=\"58675200\", alpha=\"0.14\", expect_size=\"23470080\"] \n  8 -> 9 [size =\"23470080\"]\n  9 [size=\"96668160\", alpha=\"0.19\", expect_size=\"38667264\"] \n  9 -> 10 [size =\"38667264\"]\n  10 [size=\"49267200\", alpha=\"0.02\", expect_size=\"19706880\"] \n  10 -> 11 [size =\"19706880\"]\n  11 [size=\"106928640\", alpha=\"0.07\", expect_size=\"42771456\"] \n  11 -> 12 [size =\"42771456\"]\n  12 [size=\"90685440\", alpha=\"0.10\", expect_size=\"36274176\"] \n  12 -> 13 [size =\"36274176\"]\n  13 [size=\"119157760\", alpha=\"0.19\", expect_size=\"47663104\"] \n  13 -> 14 [size =\"47663104\"]\n  14 [size=\"79577600\", alpha=\"0.15\", expect_size=\"31831040\"] \n  14 -> 15 [size =\"31831040\"]\n  15 [size=\"77027840\", alpha=\"0.09\", expect_size=\"30811136\"] \n  15 -> 16 [size =\"30811136\"]\n  16 [size=\"89331200\", alpha=\"0.19\", expect_size=\"35732480\"] \n  16 -> 17 [size =\"35732480\"]\n  17 [size=\"50762240\", alpha=\"0.17\", expect_size=\"20304896\"] \n  17 -> 18 [size =\"20304896\"]\n  18 [size=\"56340480\", alpha=\"0.00\", expect_size=\"22536192\"] \n  18 -> 19 [size =\"22536192\"]\n  19 [size=\"23713280\", alpha=\"0.00\", expect_size=\"9485312\"] \n  19 -> 20 [size =\"9485312\"]\n  20 [size=\"20006400\", alpha=\"0.02\", expect_size=\"8002560\"] \n  20 -> 21 [size =\"8002560\"]\n  21 [size=\"32547840\", alpha=\"0.04\", expect_size=\"13019136\"] \n  21 -> 22 [size =\"13019136\"]\n  22 [size=\"76011520\", alpha=\"0.04\", expect_size=\"30404608\"] \n  22 -> 23 [size =\"30404608\"]\n  23 [size=\"17402880\", alpha=\"0.12\", expect_size=\"6961152\"] \n  23 -> 24 [size =\"6961152\"]\n  24 [size=\"127311360\", alpha=\"0.02\", expect_size=\"50924544\"] \n  24 -> 25 [size =\"50924544\"]\n  25 [size=\"97123840\", alpha=\"0.02\", expect_size=\"38849536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47626240\", alpha=\"0.10\", expect_size=\"14287872\"] \n  1 -> 10 [size =\"14287872\"]\n  1 -> 11 [size =\"14287872\"]\n  1 -> 12 [size =\"14287872\"]\n  1 -> 14 [size =\"14287872\"]\n  1 -> 15 [size =\"14287872\"]\n  2 [size=\"156866560\", alpha=\"0.11\", expect_size=\"47059968\"] \n  2 -> 7 [size =\"47059968\"]\n  2 -> 8 [size =\"47059968\"]\n  2 -> 9 [size =\"47059968\"]\n  2 -> 10 [size =\"47059968\"]\n  2 -> 11 [size =\"47059968\"]\n  2 -> 14 [size =\"47059968\"]\n  2 -> 15 [size =\"47059968\"]\n  3 [size=\"110438400\", alpha=\"0.01\", expect_size=\"33131520\"] \n  3 -> 11 [size =\"33131520\"]\n  3 -> 12 [size =\"33131520\"]\n  4 [size=\"62405973\", alpha=\"0.17\", expect_size=\"18721792\"] \n  4 -> 8 [size =\"18721792\"]\n  4 -> 9 [size =\"18721792\"]\n  4 -> 13 [size =\"18721792\"]\n  4 -> 15 [size =\"18721792\"]\n  5 [size=\"159617707\", alpha=\"0.09\", expect_size=\"47885312\"] \n  5 -> 7 [size =\"47885312\"]\n  5 -> 8 [size =\"47885312\"]\n  5 -> 10 [size =\"47885312\"]\n  5 -> 15 [size =\"47885312\"]\n  6 [size=\"159586987\", alpha=\"0.19\", expect_size=\"47876096\"] \n  6 -> 10 [size =\"47876096\"]\n  6 -> 11 [size =\"47876096\"]\n  6 -> 15 [size =\"47876096\"]\n  7 [size=\"19606187\", alpha=\"0.15\", expect_size=\"5881856\"] \n  7 -> 18 [size =\"5881856\"]\n  7 -> 23 [size =\"5881856\"]\n  8 [size=\"45998080\", alpha=\"0.08\", expect_size=\"13799424\"] \n  8 -> 20 [size =\"13799424\"]\n  8 -> 21 [size =\"13799424\"]\n  9 [size=\"167502507\", alpha=\"0.02\", expect_size=\"50250752\"] \n  9 -> 16 [size =\"50250752\"]\n  9 -> 17 [size =\"50250752\"]\n  9 -> 18 [size =\"50250752\"]\n  9 -> 19 [size =\"50250752\"]\n  9 -> 20 [size =\"50250752\"]\n  9 -> 24 [size =\"50250752\"]\n  10 [size=\"111226880\", alpha=\"0.12\", expect_size=\"33368064\"] \n  10 -> 17 [size =\"33368064\"]\n  10 -> 18 [size =\"33368064\"]\n  10 -> 18 [size =\"33368064\"]\n  10 -> 20 [size =\"33368064\"]\n  10 -> 21 [size =\"33368064\"]\n  10 -> 22 [size =\"33368064\"]\n  11 [size=\"84927147\", alpha=\"0.06\", expect_size=\"25478144\"] \n  11 -> 16 [size =\"25478144\"]\n  11 -> 20 [size =\"25478144\"]\n  11 -> 23 [size =\"25478144\"]\n  11 -> 24 [size =\"25478144\"]\n  11 -> 25 [size =\"25478144\"]\n  12 [size=\"160191147\", alpha=\"0.12\", expect_size=\"48057344\"] \n  12 -> 16 [size =\"48057344\"]\n  12 -> 19 [size =\"48057344\"]\n  12 -> 20 [size =\"48057344\"]\n  12 -> 22 [size =\"48057344\"]\n  13 [size=\"88606720\", alpha=\"0.08\", expect_size=\"26582016\"] \n  13 -> 17 [size =\"26582016\"]\n  13 -> 18 [size =\"26582016\"]\n  13 -> 19 [size =\"26582016\"]\n  13 -> 24 [size =\"26582016\"]\n  14 [size=\"97628160\", alpha=\"0.09\", expect_size=\"29288448\"] \n  14 -> 16 [size =\"29288448\"]\n  14 -> 17 [size =\"29288448\"]\n  14 -> 19 [size =\"29288448\"]\n  15 [size=\"74417493\", alpha=\"0.05\", expect_size=\"22325248\"] \n  15 -> 17 [size =\"22325248\"]\n  15 -> 17 [size =\"22325248\"]\n  15 -> 18 [size =\"22325248\"]\n  15 -> 19 [size =\"22325248\"]\n  15 -> 20 [size =\"22325248\"]\n  15 -> 24 [size =\"22325248\"]\n  15 -> 25 [size =\"22325248\"]\n  16 [size=\"148783787\", alpha=\"0.02\", expect_size=\"44635136\"] \n  17 [size=\"143523840\", alpha=\"0.15\", expect_size=\"43057152\"] \n  18 [size=\"105130667\", alpha=\"0.15\", expect_size=\"31539200\"] \n  19 [size=\"167519573\", alpha=\"0.18\", expect_size=\"50255872\"] \n  20 [size=\"23104853\", alpha=\"0.03\", expect_size=\"6931456\"] \n  21 [size=\"119869440\", alpha=\"0.12\", expect_size=\"35960832\"] \n  22 [size=\"167256747\", alpha=\"0.19\", expect_size=\"50177024\"] \n  23 [size=\"102225920\", alpha=\"0.17\", expect_size=\"30667776\"] \n  24 [size=\"163986773\", alpha=\"0.02\", expect_size=\"49196032\"] \n  25 [size=\"80988160\", alpha=\"0.04\", expect_size=\"24296448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18124800\", alpha=\"0.03\", expect_size=\"9062400\"] \n  1 -> 9 [size =\"9062400\"]\n  1 -> 10 [size =\"9062400\"]\n  1 -> 11 [size =\"9062400\"]\n  1 -> 12 [size =\"9062400\"]\n  1 -> 17 [size =\"9062400\"]\n  2 [size=\"43442176\", alpha=\"0.03\", expect_size=\"21721088\"] \n  2 -> 8 [size =\"21721088\"]\n  2 -> 9 [size =\"21721088\"]\n  2 -> 13 [size =\"21721088\"]\n  2 -> 18 [size =\"21721088\"]\n  3 [size=\"13436928\", alpha=\"0.18\", expect_size=\"6718464\"] \n  3 -> 8 [size =\"6718464\"]\n  3 -> 12 [size =\"6718464\"]\n  3 -> 15 [size =\"6718464\"]\n  3 -> 16 [size =\"6718464\"]\n  3 -> 17 [size =\"6718464\"]\n  3 -> 18 [size =\"6718464\"]\n  4 [size=\"75433984\", alpha=\"0.07\", expect_size=\"37716992\"] \n  4 -> 8 [size =\"37716992\"]\n  4 -> 9 [size =\"37716992\"]\n  4 -> 12 [size =\"37716992\"]\n  4 -> 16 [size =\"37716992\"]\n  4 -> 17 [size =\"37716992\"]\n  4 -> 18 [size =\"37716992\"]\n  5 [size=\"102830080\", alpha=\"0.13\", expect_size=\"51415040\"] \n  5 -> 8 [size =\"51415040\"]\n  5 -> 10 [size =\"51415040\"]\n  5 -> 11 [size =\"51415040\"]\n  5 -> 12 [size =\"51415040\"]\n  5 -> 16 [size =\"51415040\"]\n  5 -> 17 [size =\"51415040\"]\n  5 -> 18 [size =\"51415040\"]\n  6 [size=\"104542208\", alpha=\"0.05\", expect_size=\"52271104\"] \n  6 -> 10 [size =\"52271104\"]\n  6 -> 12 [size =\"52271104\"]\n  6 -> 14 [size =\"52271104\"]\n  6 -> 17 [size =\"52271104\"]\n  7 [size=\"38944768\", alpha=\"0.13\", expect_size=\"19472384\"] \n  7 -> 8 [size =\"19472384\"]\n  7 -> 11 [size =\"19472384\"]\n  7 -> 12 [size =\"19472384\"]\n  7 -> 15 [size =\"19472384\"]\n  7 -> 17 [size =\"19472384\"]\n  7 -> 18 [size =\"19472384\"]\n  8 [size=\"104468480\", alpha=\"0.02\", expect_size=\"52234240\"] \n  8 -> 22 [size =\"52234240\"]\n  8 -> 25 [size =\"52234240\"]\n  9 [size=\"66740224\", alpha=\"0.13\", expect_size=\"33370112\"] \n  9 -> 19 [size =\"33370112\"]\n  9 -> 20 [size =\"33370112\"]\n  9 -> 21 [size =\"33370112\"]\n  9 -> 22 [size =\"33370112\"]\n  9 -> 24 [size =\"33370112\"]\n  9 -> 25 [size =\"33370112\"]\n  10 [size=\"25833472\", alpha=\"0.12\", expect_size=\"12916736\"] \n  10 -> 19 [size =\"12916736\"]\n  10 -> 21 [size =\"12916736\"]\n  10 -> 22 [size =\"12916736\"]\n  10 -> 25 [size =\"12916736\"]\n  11 [size=\"39464960\", alpha=\"0.13\", expect_size=\"19732480\"] \n  11 -> 19 [size =\"19732480\"]\n  11 -> 20 [size =\"19732480\"]\n  11 -> 21 [size =\"19732480\"]\n  11 -> 22 [size =\"19732480\"]\n  12 [size=\"52408320\", alpha=\"0.06\", expect_size=\"26204160\"] \n  12 -> 19 [size =\"26204160\"]\n  12 -> 20 [size =\"26204160\"]\n  12 -> 21 [size =\"26204160\"]\n  12 -> 22 [size =\"26204160\"]\n  12 -> 24 [size =\"26204160\"]\n  13 [size=\"66830336\", alpha=\"0.19\", expect_size=\"33415168\"] \n  13 -> 19 [size =\"33415168\"]\n  13 -> 21 [size =\"33415168\"]\n  13 -> 24 [size =\"33415168\"]\n  13 -> 25 [size =\"33415168\"]\n  14 [size=\"56000512\", alpha=\"0.02\", expect_size=\"28000256\"] \n  14 -> 19 [size =\"28000256\"]\n  14 -> 20 [size =\"28000256\"]\n  14 -> 21 [size =\"28000256\"]\n  14 -> 23 [size =\"28000256\"]\n  14 -> 24 [size =\"28000256\"]\n  14 -> 25 [size =\"28000256\"]\n  15 [size=\"87918592\", alpha=\"0.19\", expect_size=\"43959296\"] \n  15 -> 20 [size =\"43959296\"]\n  15 -> 21 [size =\"43959296\"]\n  15 -> 21 [size =\"43959296\"]\n  15 -> 22 [size =\"43959296\"]\n  15 -> 25 [size =\"43959296\"]\n  16 [size=\"56936448\", alpha=\"0.12\", expect_size=\"28468224\"] \n  16 -> 23 [size =\"28468224\"]\n  16 -> 24 [size =\"28468224\"]\n  16 -> 25 [size =\"28468224\"]\n  17 [size=\"78217216\", alpha=\"0.13\", expect_size=\"39108608\"] \n  17 -> 19 [size =\"39108608\"]\n  17 -> 21 [size =\"39108608\"]\n  17 -> 22 [size =\"39108608\"]\n  17 -> 23 [size =\"39108608\"]\n  17 -> 24 [size =\"39108608\"]\n  17 -> 25 [size =\"39108608\"]\n  18 [size=\"44947456\", alpha=\"0.08\", expect_size=\"22473728\"] \n  18 -> 19 [size =\"22473728\"]\n  18 -> 20 [size =\"22473728\"]\n  18 -> 21 [size =\"22473728\"]\n  18 -> 22 [size =\"22473728\"]\n  18 -> 23 [size =\"22473728\"]\n  18 -> 24 [size =\"22473728\"]\n  18 -> 25 [size =\"22473728\"]\n  19 [size=\"55203840\", alpha=\"0.14\", expect_size=\"27601920\"] \n  20 [size=\"22583296\", alpha=\"0.03\", expect_size=\"11291648\"] \n  21 [size=\"76894208\", alpha=\"0.14\", expect_size=\"38447104\"] \n  22 [size=\"42860544\", alpha=\"0.12\", expect_size=\"21430272\"] \n  23 [size=\"69933056\", alpha=\"0.11\", expect_size=\"34966528\"] \n  24 [size=\"63332352\", alpha=\"0.03\", expect_size=\"31666176\"] \n  25 [size=\"71346176\", alpha=\"0.15\", expect_size=\"35673088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95242240\", alpha=\"0.13\", expect_size=\"28572672\"] \n  2 [size=\"33716907\", alpha=\"0.02\", expect_size=\"10115072\"] \n  2 -> 3 [size =\"10115072\"]\n  3 [size=\"94368427\", alpha=\"0.08\", expect_size=\"28310528\"] \n  3 -> 4 [size =\"28310528\"]\n  3 -> 5 [size =\"28310528\"]\n  4 [size=\"144172373\", alpha=\"0.16\", expect_size=\"43251712\"] \n  5 [size=\"48506880\", alpha=\"0.13\", expect_size=\"14552064\"] \n  5 -> 6 [size =\"14552064\"]\n  6 [size=\"104772267\", alpha=\"0.20\", expect_size=\"31431680\"] \n  6 -> 7 [size =\"31431680\"]\n  6 -> 8 [size =\"31431680\"]\n  7 [size=\"34331307\", alpha=\"0.12\", expect_size=\"10299392\"] \n  7 -> 10 [size =\"10299392\"]\n  8 [size=\"93009920\", alpha=\"0.17\", expect_size=\"27902976\"] \n  8 -> 9 [size =\"27902976\"]\n  9 [size=\"65099093\", alpha=\"0.19\", expect_size=\"19529728\"] \n  10 [size=\"93460480\", alpha=\"0.05\", expect_size=\"28038144\"] \n  10 -> 11 [size =\"28038144\"]\n  10 -> 12 [size =\"28038144\"]\n  11 [size=\"38597973\", alpha=\"0.11\", expect_size=\"11579392\"] \n  12 [size=\"138697387\", alpha=\"0.03\", expect_size=\"41609216\"] \n  12 -> 13 [size =\"41609216\"]\n  13 [size=\"153760427\", alpha=\"0.06\", expect_size=\"46128128\"] \n  13 -> 14 [size =\"46128128\"]\n  14 [size=\"62453760\", alpha=\"0.02\", expect_size=\"18736128\"] \n  14 -> 15 [size =\"18736128\"]\n  15 [size=\"34867200\", alpha=\"0.09\", expect_size=\"10460160\"] \n  15 -> 16 [size =\"10460160\"]\n  15 -> 17 [size =\"10460160\"]\n  16 [size=\"137966933\", alpha=\"0.14\", expect_size=\"41390080\"] \n  17 [size=\"135720960\", alpha=\"0.17\", expect_size=\"40716288\"] \n  17 -> 18 [size =\"40716288\"]\n  17 -> 19 [size =\"40716288\"]\n  18 [size=\"71519573\", alpha=\"0.03\", expect_size=\"21455872\"] \n  18 -> 20 [size =\"21455872\"]\n  19 [size=\"47844693\", alpha=\"0.07\", expect_size=\"14353408\"] \n  20 [size=\"37509120\", alpha=\"0.18\", expect_size=\"11252736\"] \n  20 -> 21 [size =\"11252736\"]\n  21 [size=\"77284693\", alpha=\"0.18\", expect_size=\"23185408\"] \n  21 -> 22 [size =\"23185408\"]\n  22 [size=\"161809067\", alpha=\"0.01\", expect_size=\"48542720\"] \n  22 -> 23 [size =\"48542720\"]\n  23 [size=\"28532053\", alpha=\"0.13\", expect_size=\"8559616\"] \n  23 -> 24 [size =\"8559616\"]\n  23 -> 25 [size =\"8559616\"]\n  24 [size=\"73325227\", alpha=\"0.01\", expect_size=\"21997568\"] \n  25 [size=\"92071253\", alpha=\"0.13\", expect_size=\"27621376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54048768\", alpha=\"0.19\", expect_size=\"27024384\"] \n  1 -> 6 [size =\"27024384\"]\n  2 [size=\"89743360\", alpha=\"0.08\", expect_size=\"44871680\"] \n  2 -> 5 [size =\"44871680\"]\n  3 [size=\"84297728\", alpha=\"0.15\", expect_size=\"42148864\"] \n  4 [size=\"11673600\", alpha=\"0.03\", expect_size=\"5836800\"] \n  4 -> 7 [size =\"5836800\"]\n  5 [size=\"53729280\", alpha=\"0.04\", expect_size=\"26864640\"] \n  5 -> 8 [size =\"26864640\"]\n  5 -> 10 [size =\"26864640\"]\n  5 -> 11 [size =\"26864640\"]\n  6 [size=\"104808448\", alpha=\"0.12\", expect_size=\"52404224\"] \n  6 -> 11 [size =\"52404224\"]\n  7 [size=\"45983744\", alpha=\"0.04\", expect_size=\"22991872\"] \n  7 -> 8 [size =\"22991872\"]\n  7 -> 9 [size =\"22991872\"]\n  7 -> 10 [size =\"22991872\"]\n  8 [size=\"58396672\", alpha=\"0.01\", expect_size=\"29198336\"] \n  9 [size=\"15697920\", alpha=\"0.12\", expect_size=\"7848960\"] \n  9 -> 12 [size =\"7848960\"]\n  10 [size=\"12898304\", alpha=\"0.09\", expect_size=\"6449152\"] \n  10 -> 16 [size =\"6449152\"]\n  11 [size=\"43849728\", alpha=\"0.04\", expect_size=\"21924864\"] \n  11 -> 13 [size =\"21924864\"]\n  11 -> 14 [size =\"21924864\"]\n  11 -> 15 [size =\"21924864\"]\n  11 -> 16 [size =\"21924864\"]\n  12 [size=\"36935680\", alpha=\"0.08\", expect_size=\"18467840\"] \n  13 [size=\"73459712\", alpha=\"0.04\", expect_size=\"36729856\"] \n  13 -> 18 [size =\"36729856\"]\n  14 [size=\"48668672\", alpha=\"0.05\", expect_size=\"24334336\"] \n  14 -> 17 [size =\"24334336\"]\n  14 -> 19 [size =\"24334336\"]\n  15 [size=\"64727040\", alpha=\"0.19\", expect_size=\"32363520\"] \n  15 -> 17 [size =\"32363520\"]\n  16 [size=\"85735424\", alpha=\"0.14\", expect_size=\"42867712\"] \n  16 -> 17 [size =\"42867712\"]\n  16 -> 19 [size =\"42867712\"]\n  17 [size=\"47017984\", alpha=\"0.18\", expect_size=\"23508992\"] \n  17 -> 22 [size =\"23508992\"]\n  18 [size=\"68077568\", alpha=\"0.15\", expect_size=\"34038784\"] \n  18 -> 21 [size =\"34038784\"]\n  18 -> 23 [size =\"34038784\"]\n  19 [size=\"72237056\", alpha=\"0.15\", expect_size=\"36118528\"] \n  19 -> 20 [size =\"36118528\"]\n  19 -> 23 [size =\"36118528\"]\n  20 [size=\"32899072\", alpha=\"0.03\", expect_size=\"16449536\"] \n  20 -> 24 [size =\"16449536\"]\n  21 [size=\"74397696\", alpha=\"0.01\", expect_size=\"37198848\"] \n  22 [size=\"93302784\", alpha=\"0.15\", expect_size=\"46651392\"] \n  22 -> 24 [size =\"46651392\"]\n  23 [size=\"36470784\", alpha=\"0.05\", expect_size=\"18235392\"] \n  23 -> 25 [size =\"18235392\"]\n  24 [size=\"56076288\", alpha=\"0.15\", expect_size=\"28038144\"] \n  25 [size=\"77508608\", alpha=\"0.15\", expect_size=\"38754304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70840320\", alpha=\"0.02\", expect_size=\"21252096\"] \n  1 -> 2 [size =\"21252096\"]\n  2 [size=\"48595627\", alpha=\"0.06\", expect_size=\"14578688\"] \n  2 -> 3 [size =\"14578688\"]\n  3 [size=\"168919040\", alpha=\"0.19\", expect_size=\"50675712\"] \n  3 -> 4 [size =\"50675712\"]\n  4 [size=\"29153280\", alpha=\"0.05\", expect_size=\"8745984\"] \n  4 -> 5 [size =\"8745984\"]\n  5 [size=\"115838293\", alpha=\"0.02\", expect_size=\"34751488\"] \n  5 -> 6 [size =\"34751488\"]\n  6 [size=\"52534613\", alpha=\"0.03\", expect_size=\"15760384\"] \n  6 -> 7 [size =\"15760384\"]\n  7 [size=\"82664107\", alpha=\"0.09\", expect_size=\"24799232\"] \n  7 -> 8 [size =\"24799232\"]\n  8 [size=\"29037227\", alpha=\"0.10\", expect_size=\"8711168\"] \n  8 -> 9 [size =\"8711168\"]\n  9 [size=\"117108053\", alpha=\"0.18\", expect_size=\"35132416\"] \n  9 -> 10 [size =\"35132416\"]\n  10 [size=\"91224747\", alpha=\"0.07\", expect_size=\"27367424\"] \n  10 -> 11 [size =\"27367424\"]\n  11 [size=\"99812693\", alpha=\"0.00\", expect_size=\"29943808\"] \n  11 -> 12 [size =\"29943808\"]\n  12 [size=\"118913707\", alpha=\"0.09\", expect_size=\"35674112\"] \n  12 -> 13 [size =\"35674112\"]\n  13 [size=\"163795627\", alpha=\"0.19\", expect_size=\"49138688\"] \n  13 -> 14 [size =\"49138688\"]\n  14 [size=\"153115307\", alpha=\"0.14\", expect_size=\"45934592\"] \n  14 -> 15 [size =\"45934592\"]\n  15 [size=\"32508587\", alpha=\"0.10\", expect_size=\"9752576\"] \n  15 -> 16 [size =\"9752576\"]\n  16 [size=\"49544533\", alpha=\"0.03\", expect_size=\"14863360\"] \n  16 -> 17 [size =\"14863360\"]\n  17 [size=\"70597973\", alpha=\"0.05\", expect_size=\"21179392\"] \n  17 -> 18 [size =\"21179392\"]\n  18 [size=\"138571093\", alpha=\"0.03\", expect_size=\"41571328\"] \n  18 -> 19 [size =\"41571328\"]\n  19 [size=\"57763840\", alpha=\"0.08\", expect_size=\"17329152\"] \n  19 -> 20 [size =\"17329152\"]\n  20 [size=\"39195307\", alpha=\"0.01\", expect_size=\"11758592\"] \n  20 -> 21 [size =\"11758592\"]\n  21 [size=\"95627947\", alpha=\"0.00\", expect_size=\"28688384\"] \n  21 -> 22 [size =\"28688384\"]\n  22 [size=\"96785067\", alpha=\"0.04\", expect_size=\"29035520\"] \n  22 -> 23 [size =\"29035520\"]\n  23 [size=\"169861120\", alpha=\"0.06\", expect_size=\"50958336\"] \n  23 -> 24 [size =\"50958336\"]\n  24 [size=\"159245653\", alpha=\"0.10\", expect_size=\"47773696\"] \n  24 -> 25 [size =\"47773696\"]\n  25 [size=\"110397440\", alpha=\"0.07\", expect_size=\"33119232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142503253\", alpha=\"0.10\", expect_size=\"42750976\"] \n  1 -> 2 [size =\"42750976\"]\n  2 [size=\"155767467\", alpha=\"0.00\", expect_size=\"46730240\"] \n  2 -> 3 [size =\"46730240\"]\n  3 [size=\"74106880\", alpha=\"0.15\", expect_size=\"22232064\"] \n  3 -> 4 [size =\"22232064\"]\n  4 [size=\"113493333\", alpha=\"0.00\", expect_size=\"34048000\"] \n  4 -> 5 [size =\"34048000\"]\n  5 [size=\"77578240\", alpha=\"0.20\", expect_size=\"23273472\"] \n  5 -> 6 [size =\"23273472\"]\n  6 [size=\"40608427\", alpha=\"0.17\", expect_size=\"12182528\"] \n  6 -> 7 [size =\"12182528\"]\n  7 [size=\"39318187\", alpha=\"0.12\", expect_size=\"11795456\"] \n  7 -> 8 [size =\"11795456\"]\n  8 [size=\"129815893\", alpha=\"0.04\", expect_size=\"38944768\"] \n  8 -> 9 [size =\"38944768\"]\n  9 [size=\"42175147\", alpha=\"0.14\", expect_size=\"12652544\"] \n  9 -> 10 [size =\"12652544\"]\n  10 [size=\"32665600\", alpha=\"0.19\", expect_size=\"9799680\"] \n  10 -> 11 [size =\"9799680\"]\n  11 [size=\"112646827\", alpha=\"0.10\", expect_size=\"33794048\"] \n  11 -> 12 [size =\"33794048\"]\n  12 [size=\"34942293\", alpha=\"0.12\", expect_size=\"10482688\"] \n  12 -> 13 [size =\"10482688\"]\n  13 [size=\"36437333\", alpha=\"0.10\", expect_size=\"10931200\"] \n  13 -> 14 [size =\"10931200\"]\n  14 [size=\"155948373\", alpha=\"0.11\", expect_size=\"46784512\"] \n  14 -> 15 [size =\"46784512\"]\n  15 [size=\"156040533\", alpha=\"0.16\", expect_size=\"46812160\"] \n  15 -> 16 [size =\"46812160\"]\n  16 [size=\"153572693\", alpha=\"0.17\", expect_size=\"46071808\"] \n  16 -> 17 [size =\"46071808\"]\n  17 [size=\"126979413\", alpha=\"0.19\", expect_size=\"38093824\"] \n  17 -> 18 [size =\"38093824\"]\n  18 [size=\"65536000\", alpha=\"0.16\", expect_size=\"19660800\"] \n  18 -> 19 [size =\"19660800\"]\n  19 [size=\"95156907\", alpha=\"0.14\", expect_size=\"28547072\"] \n  19 -> 20 [size =\"28547072\"]\n  20 [size=\"51845120\", alpha=\"0.19\", expect_size=\"15553536\"] \n  20 -> 21 [size =\"15553536\"]\n  21 [size=\"42250240\", alpha=\"0.20\", expect_size=\"12675072\"] \n  21 -> 22 [size =\"12675072\"]\n  22 [size=\"121166507\", alpha=\"0.18\", expect_size=\"36349952\"] \n  22 -> 23 [size =\"36349952\"]\n  23 [size=\"55183360\", alpha=\"0.04\", expect_size=\"16555008\"] \n  23 -> 24 [size =\"16555008\"]\n  24 [size=\"133075627\", alpha=\"0.01\", expect_size=\"39922688\"] \n  24 -> 25 [size =\"39922688\"]\n  25 [size=\"64819200\", alpha=\"0.07\", expect_size=\"19445760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99392000\", alpha=\"0.18\", expect_size=\"39756800\"] \n  1 -> 2 [size =\"39756800\"]\n  2 [size=\"76584960\", alpha=\"0.04\", expect_size=\"30633984\"] \n  2 -> 3 [size =\"30633984\"]\n  3 [size=\"40330240\", alpha=\"0.11\", expect_size=\"16132096\"] \n  3 -> 4 [size =\"16132096\"]\n  4 [size=\"85729280\", alpha=\"0.15\", expect_size=\"34291712\"] \n  4 -> 5 [size =\"34291712\"]\n  5 [size=\"84183040\", alpha=\"0.17\", expect_size=\"33673216\"] \n  5 -> 6 [size =\"33673216\"]\n  6 [size=\"75486720\", alpha=\"0.10\", expect_size=\"30194688\"] \n  6 -> 7 [size =\"30194688\"]\n  7 [size=\"109102080\", alpha=\"0.15\", expect_size=\"43640832\"] \n  7 -> 8 [size =\"43640832\"]\n  8 [size=\"48176640\", alpha=\"0.17\", expect_size=\"19270656\"] \n  8 -> 9 [size =\"19270656\"]\n  9 [size=\"26496000\", alpha=\"0.00\", expect_size=\"10598400\"] \n  9 -> 10 [size =\"10598400\"]\n  10 [size=\"89336320\", alpha=\"0.09\", expect_size=\"35734528\"] \n  10 -> 11 [size =\"35734528\"]\n  11 [size=\"83397120\", alpha=\"0.18\", expect_size=\"33358848\"] \n  11 -> 12 [size =\"33358848\"]\n  12 [size=\"68723200\", alpha=\"0.12\", expect_size=\"27489280\"] \n  12 -> 13 [size =\"27489280\"]\n  13 [size=\"94231040\", alpha=\"0.18\", expect_size=\"37692416\"] \n  13 -> 14 [size =\"37692416\"]\n  14 [size=\"43151360\", alpha=\"0.06\", expect_size=\"17260544\"] \n  14 -> 15 [size =\"17260544\"]\n  15 [size=\"130867200\", alpha=\"0.17\", expect_size=\"52346880\"] \n  15 -> 16 [size =\"52346880\"]\n  16 [size=\"110968320\", alpha=\"0.07\", expect_size=\"44387328\"] \n  16 -> 17 [size =\"44387328\"]\n  17 [size=\"51194880\", alpha=\"0.18\", expect_size=\"20477952\"] \n  17 -> 18 [size =\"20477952\"]\n  18 [size=\"21091840\", alpha=\"0.10\", expect_size=\"8436736\"] \n  18 -> 19 [size =\"8436736\"]\n  19 [size=\"120197120\", alpha=\"0.12\", expect_size=\"48078848\"] \n  19 -> 20 [size =\"48078848\"]\n  20 [size=\"120957440\", alpha=\"0.07\", expect_size=\"48382976\"] \n  20 -> 21 [size =\"48382976\"]\n  21 [size=\"55516160\", alpha=\"0.17\", expect_size=\"22206464\"] \n  21 -> 22 [size =\"22206464\"]\n  22 [size=\"44436480\", alpha=\"0.17\", expect_size=\"17774592\"] \n  22 -> 23 [size =\"17774592\"]\n  23 [size=\"113635840\", alpha=\"0.02\", expect_size=\"45454336\"] \n  23 -> 24 [size =\"45454336\"]\n  24 [size=\"104657920\", alpha=\"0.20\", expect_size=\"41863168\"] \n  24 -> 25 [size =\"41863168\"]\n  25 [size=\"19594240\", alpha=\"0.09\", expect_size=\"7837696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36121600\", alpha=\"0.16\", expect_size=\"14448640\"] \n  1 -> 2 [size =\"14448640\"]\n  2 [size=\"40202240\", alpha=\"0.09\", expect_size=\"16080896\"] \n  2 -> 3 [size =\"16080896\"]\n  3 [size=\"29739520\", alpha=\"0.18\", expect_size=\"11895808\"] \n  3 -> 4 [size =\"11895808\"]\n  4 [size=\"32980480\", alpha=\"0.01\", expect_size=\"13192192\"] \n  4 -> 5 [size =\"13192192\"]\n  5 [size=\"57986560\", alpha=\"0.15\", expect_size=\"23194624\"] \n  5 -> 6 [size =\"23194624\"]\n  6 [size=\"69724160\", alpha=\"0.15\", expect_size=\"27889664\"] \n  6 -> 7 [size =\"27889664\"]\n  7 [size=\"80624640\", alpha=\"0.20\", expect_size=\"32249856\"] \n  7 -> 8 [size =\"32249856\"]\n  8 [size=\"128847360\", alpha=\"0.02\", expect_size=\"51538944\"] \n  8 -> 9 [size =\"51538944\"]\n  9 [size=\"94653440\", alpha=\"0.18\", expect_size=\"37861376\"] \n  9 -> 10 [size =\"37861376\"]\n  10 [size=\"112389120\", alpha=\"0.02\", expect_size=\"44955648\"] \n  10 -> 11 [size =\"44955648\"]\n  11 [size=\"102952960\", alpha=\"0.00\", expect_size=\"41181184\"] \n  11 -> 12 [size =\"41181184\"]\n  12 [size=\"77015040\", alpha=\"0.06\", expect_size=\"30806016\"] \n  12 -> 13 [size =\"30806016\"]\n  13 [size=\"13831680\", alpha=\"0.02\", expect_size=\"5532672\"] \n  13 -> 14 [size =\"5532672\"]\n  14 [size=\"122764800\", alpha=\"0.06\", expect_size=\"49105920\"] \n  14 -> 15 [size =\"49105920\"]\n  15 [size=\"128081920\", alpha=\"0.06\", expect_size=\"51232768\"] \n  15 -> 16 [size =\"51232768\"]\n  16 [size=\"98314240\", alpha=\"0.04\", expect_size=\"39325696\"] \n  16 -> 17 [size =\"39325696\"]\n  17 [size=\"67389440\", alpha=\"0.16\", expect_size=\"26955776\"] \n  17 -> 18 [size =\"26955776\"]\n  18 [size=\"64737280\", alpha=\"0.18\", expect_size=\"25894912\"] \n  18 -> 19 [size =\"25894912\"]\n  19 [size=\"77347840\", alpha=\"0.14\", expect_size=\"30939136\"] \n  19 -> 20 [size =\"30939136\"]\n  20 [size=\"68398080\", alpha=\"0.02\", expect_size=\"27359232\"] \n  20 -> 21 [size =\"27359232\"]\n  21 [size=\"81620480\", alpha=\"0.14\", expect_size=\"32648192\"] \n  21 -> 22 [size =\"32648192\"]\n  22 [size=\"81623040\", alpha=\"0.10\", expect_size=\"32649216\"] \n  22 -> 23 [size =\"32649216\"]\n  23 [size=\"118981120\", alpha=\"0.10\", expect_size=\"47592448\"] \n  23 -> 24 [size =\"47592448\"]\n  24 [size=\"14837760\", alpha=\"0.13\", expect_size=\"5935104\"] \n  24 -> 25 [size =\"5935104\"]\n  25 [size=\"50746880\", alpha=\"0.03\", expect_size=\"20298752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57126912\", alpha=\"0.06\", expect_size=\"28563456\"] \n  1 -> 10 [size =\"28563456\"]\n  1 -> 12 [size =\"28563456\"]\n  1 -> 14 [size =\"28563456\"]\n  1 -> 15 [size =\"28563456\"]\n  1 -> 18 [size =\"28563456\"]\n  2 [size=\"86218752\", alpha=\"0.03\", expect_size=\"43109376\"] \n  2 -> 11 [size =\"43109376\"]\n  2 -> 14 [size =\"43109376\"]\n  2 -> 16 [size =\"43109376\"]\n  2 -> 18 [size =\"43109376\"]\n  2 -> 18 [size =\"43109376\"]\n  3 [size=\"91844608\", alpha=\"0.10\", expect_size=\"45922304\"] \n  3 -> 11 [size =\"45922304\"]\n  3 -> 15 [size =\"45922304\"]\n  3 -> 16 [size =\"45922304\"]\n  3 -> 18 [size =\"45922304\"]\n  4 [size=\"86583296\", alpha=\"0.05\", expect_size=\"43291648\"] \n  4 -> 11 [size =\"43291648\"]\n  4 -> 12 [size =\"43291648\"]\n  4 -> 13 [size =\"43291648\"]\n  4 -> 14 [size =\"43291648\"]\n  4 -> 15 [size =\"43291648\"]\n  4 -> 16 [size =\"43291648\"]\n  4 -> 18 [size =\"43291648\"]\n  5 [size=\"85921792\", alpha=\"0.09\", expect_size=\"42960896\"] \n  5 -> 12 [size =\"42960896\"]\n  5 -> 13 [size =\"42960896\"]\n  5 -> 15 [size =\"42960896\"]\n  5 -> 16 [size =\"42960896\"]\n  5 -> 18 [size =\"42960896\"]\n  6 [size=\"39133184\", alpha=\"0.01\", expect_size=\"19566592\"] \n  6 -> 11 [size =\"19566592\"]\n  6 -> 12 [size =\"19566592\"]\n  6 -> 15 [size =\"19566592\"]\n  6 -> 16 [size =\"19566592\"]\n  6 -> 17 [size =\"19566592\"]\n  6 -> 18 [size =\"19566592\"]\n  7 [size=\"65155072\", alpha=\"0.16\", expect_size=\"32577536\"] \n  7 -> 11 [size =\"32577536\"]\n  7 -> 12 [size =\"32577536\"]\n  7 -> 15 [size =\"32577536\"]\n  7 -> 16 [size =\"32577536\"]\n  7 -> 17 [size =\"32577536\"]\n  8 [size=\"22571008\", alpha=\"0.11\", expect_size=\"11285504\"] \n  8 -> 14 [size =\"11285504\"]\n  8 -> 16 [size =\"11285504\"]\n  8 -> 17 [size =\"11285504\"]\n  9 [size=\"47237120\", alpha=\"0.06\", expect_size=\"23618560\"] \n  9 -> 11 [size =\"23618560\"]\n  9 -> 14 [size =\"23618560\"]\n  9 -> 15 [size =\"23618560\"]\n  9 -> 16 [size =\"23618560\"]\n  9 -> 18 [size =\"23618560\"]\n  10 [size=\"42539008\", alpha=\"0.00\", expect_size=\"21269504\"] \n  10 -> 19 [size =\"21269504\"]\n  10 -> 20 [size =\"21269504\"]\n  10 -> 24 [size =\"21269504\"]\n  10 -> 24 [size =\"21269504\"]\n  11 [size=\"30478336\", alpha=\"0.04\", expect_size=\"15239168\"] \n  11 -> 19 [size =\"15239168\"]\n  11 -> 20 [size =\"15239168\"]\n  11 -> 24 [size =\"15239168\"]\n  12 [size=\"57896960\", alpha=\"0.19\", expect_size=\"28948480\"] \n  12 -> 19 [size =\"28948480\"]\n  12 -> 20 [size =\"28948480\"]\n  12 -> 24 [size =\"28948480\"]\n  13 [size=\"69883904\", alpha=\"0.18\", expect_size=\"34941952\"] \n  13 -> 19 [size =\"34941952\"]\n  13 -> 20 [size =\"34941952\"]\n  13 -> 23 [size =\"34941952\"]\n  13 -> 25 [size =\"34941952\"]\n  14 [size=\"21350400\", alpha=\"0.15\", expect_size=\"10675200\"] \n  14 -> 19 [size =\"10675200\"]\n  14 -> 21 [size =\"10675200\"]\n  14 -> 25 [size =\"10675200\"]\n  15 [size=\"42739712\", alpha=\"0.15\", expect_size=\"21369856\"] \n  15 -> 20 [size =\"21369856\"]\n  15 -> 21 [size =\"21369856\"]\n  15 -> 22 [size =\"21369856\"]\n  15 -> 25 [size =\"21369856\"]\n  16 [size=\"84002816\", alpha=\"0.00\", expect_size=\"42001408\"] \n  16 -> 19 [size =\"42001408\"]\n  16 -> 20 [size =\"42001408\"]\n  16 -> 21 [size =\"42001408\"]\n  16 -> 23 [size =\"42001408\"]\n  16 -> 25 [size =\"42001408\"]\n  17 [size=\"88987648\", alpha=\"0.05\", expect_size=\"44493824\"] \n  17 -> 19 [size =\"44493824\"]\n  17 -> 20 [size =\"44493824\"]\n  17 -> 23 [size =\"44493824\"]\n  17 -> 25 [size =\"44493824\"]\n  17 -> 25 [size =\"44493824\"]\n  18 [size=\"72386560\", alpha=\"0.18\", expect_size=\"36193280\"] \n  18 -> 19 [size =\"36193280\"]\n  18 -> 21 [size =\"36193280\"]\n  18 -> 23 [size =\"36193280\"]\n  18 -> 24 [size =\"36193280\"]\n  19 [size=\"29464576\", alpha=\"0.19\", expect_size=\"14732288\"] \n  20 [size=\"57053184\", alpha=\"0.20\", expect_size=\"28526592\"] \n  21 [size=\"59211776\", alpha=\"0.10\", expect_size=\"29605888\"] \n  22 [size=\"80039936\", alpha=\"0.17\", expect_size=\"40019968\"] \n  23 [size=\"73717760\", alpha=\"0.01\", expect_size=\"36858880\"] \n  24 [size=\"62699520\", alpha=\"0.01\", expect_size=\"31349760\"] \n  25 [size=\"38371328\", alpha=\"0.17\", expect_size=\"19185664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24399360\", alpha=\"0.15\", expect_size=\"9759744\"] \n  1 -> 2 [size =\"9759744\"]\n  2 [size=\"95229440\", alpha=\"0.11\", expect_size=\"38091776\"] \n  2 -> 3 [size =\"38091776\"]\n  3 [size=\"60134400\", alpha=\"0.00\", expect_size=\"24053760\"] \n  3 -> 4 [size =\"24053760\"]\n  4 [size=\"16112640\", alpha=\"0.15\", expect_size=\"6445056\"] \n  4 -> 5 [size =\"6445056\"]\n  5 [size=\"17925120\", alpha=\"0.09\", expect_size=\"7170048\"] \n  5 -> 6 [size =\"7170048\"]\n  6 [size=\"79321600\", alpha=\"0.15\", expect_size=\"31728640\"] \n  6 -> 7 [size =\"31728640\"]\n  7 [size=\"90616320\", alpha=\"0.09\", expect_size=\"36246528\"] \n  7 -> 8 [size =\"36246528\"]\n  8 [size=\"55559680\", alpha=\"0.18\", expect_size=\"22223872\"] \n  8 -> 9 [size =\"22223872\"]\n  9 [size=\"16770560\", alpha=\"0.02\", expect_size=\"6708224\"] \n  9 -> 10 [size =\"6708224\"]\n  10 [size=\"36280320\", alpha=\"0.02\", expect_size=\"14512128\"] \n  10 -> 11 [size =\"14512128\"]\n  11 [size=\"102410240\", alpha=\"0.11\", expect_size=\"40964096\"] \n  11 -> 12 [size =\"40964096\"]\n  12 [size=\"72768000\", alpha=\"0.09\", expect_size=\"29107200\"] \n  12 -> 13 [size =\"29107200\"]\n  13 [size=\"17794560\", alpha=\"0.08\", expect_size=\"7117824\"] \n  13 -> 14 [size =\"7117824\"]\n  14 [size=\"18311680\", alpha=\"0.18\", expect_size=\"7324672\"] \n  14 -> 15 [size =\"7324672\"]\n  15 [size=\"104209920\", alpha=\"0.14\", expect_size=\"41683968\"] \n  15 -> 16 [size =\"41683968\"]\n  16 [size=\"40074240\", alpha=\"0.09\", expect_size=\"16029696\"] \n  16 -> 17 [size =\"16029696\"]\n  17 [size=\"129047040\", alpha=\"0.03\", expect_size=\"51618816\"] \n  17 -> 18 [size =\"51618816\"]\n  18 [size=\"64220160\", alpha=\"0.14\", expect_size=\"25688064\"] \n  18 -> 19 [size =\"25688064\"]\n  19 [size=\"52444160\", alpha=\"0.17\", expect_size=\"20977664\"] \n  19 -> 20 [size =\"20977664\"]\n  20 [size=\"61744640\", alpha=\"0.02\", expect_size=\"24697856\"] \n  20 -> 21 [size =\"24697856\"]\n  21 [size=\"76239360\", alpha=\"0.09\", expect_size=\"30495744\"] \n  21 -> 22 [size =\"30495744\"]\n  22 [size=\"24488960\", alpha=\"0.10\", expect_size=\"9795584\"] \n  22 -> 23 [size =\"9795584\"]\n  23 [size=\"77596160\", alpha=\"0.18\", expect_size=\"31038464\"] \n  23 -> 24 [size =\"31038464\"]\n  24 [size=\"123607040\", alpha=\"0.08\", expect_size=\"49442816\"] \n  24 -> 25 [size =\"49442816\"]\n  25 [size=\"110499840\", alpha=\"0.18\", expect_size=\"44199936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19304448\", alpha=\"0.08\", expect_size=\"9652224\"] \n  1 -> 12 [size =\"9652224\"]\n  1 -> 13 [size =\"9652224\"]\n  1 -> 16 [size =\"9652224\"]\n  1 -> 17 [size =\"9652224\"]\n  2 [size=\"20492288\", alpha=\"0.03\", expect_size=\"10246144\"] \n  2 -> 12 [size =\"10246144\"]\n  2 -> 14 [size =\"10246144\"]\n  2 -> 17 [size =\"10246144\"]\n  2 -> 17 [size =\"10246144\"]\n  3 [size=\"37255168\", alpha=\"0.16\", expect_size=\"18627584\"] \n  3 -> 12 [size =\"18627584\"]\n  3 -> 15 [size =\"18627584\"]\n  3 -> 17 [size =\"18627584\"]\n  4 [size=\"87003136\", alpha=\"0.04\", expect_size=\"43501568\"] \n  4 -> 14 [size =\"43501568\"]\n  4 -> 16 [size =\"43501568\"]\n  4 -> 17 [size =\"43501568\"]\n  5 [size=\"66646016\", alpha=\"0.05\", expect_size=\"33323008\"] \n  5 -> 12 [size =\"33323008\"]\n  5 -> 14 [size =\"33323008\"]\n  5 -> 15 [size =\"33323008\"]\n  6 [size=\"35680256\", alpha=\"0.08\", expect_size=\"17840128\"] \n  6 -> 12 [size =\"17840128\"]\n  6 -> 13 [size =\"17840128\"]\n  6 -> 14 [size =\"17840128\"]\n  6 -> 18 [size =\"17840128\"]\n  7 [size=\"66865152\", alpha=\"0.13\", expect_size=\"33432576\"] \n  7 -> 12 [size =\"33432576\"]\n  7 -> 14 [size =\"33432576\"]\n  7 -> 15 [size =\"33432576\"]\n  8 [size=\"83388416\", alpha=\"0.02\", expect_size=\"41694208\"] \n  8 -> 12 [size =\"41694208\"]\n  8 -> 14 [size =\"41694208\"]\n  8 -> 16 [size =\"41694208\"]\n  8 -> 18 [size =\"41694208\"]\n  9 [size=\"91899904\", alpha=\"0.17\", expect_size=\"45949952\"] \n  9 -> 12 [size =\"45949952\"]\n  9 -> 15 [size =\"45949952\"]\n  9 -> 17 [size =\"45949952\"]\n  10 [size=\"96792576\", alpha=\"0.03\", expect_size=\"48396288\"] \n  10 -> 12 [size =\"48396288\"]\n  10 -> 17 [size =\"48396288\"]\n  11 [size=\"85852160\", alpha=\"0.00\", expect_size=\"42926080\"] \n  11 -> 12 [size =\"42926080\"]\n  11 -> 15 [size =\"42926080\"]\n  11 -> 17 [size =\"42926080\"]\n  12 [size=\"28565504\", alpha=\"0.04\", expect_size=\"14282752\"] \n  12 -> 19 [size =\"14282752\"]\n  12 -> 21 [size =\"14282752\"]\n  12 -> 21 [size =\"14282752\"]\n  12 -> 25 [size =\"14282752\"]\n  13 [size=\"42944512\", alpha=\"0.14\", expect_size=\"21472256\"] \n  13 -> 24 [size =\"21472256\"]\n  14 [size=\"23379968\", alpha=\"0.16\", expect_size=\"11689984\"] \n  14 -> 20 [size =\"11689984\"]\n  14 -> 21 [size =\"11689984\"]\n  14 -> 24 [size =\"11689984\"]\n  14 -> 25 [size =\"11689984\"]\n  15 [size=\"40513536\", alpha=\"0.15\", expect_size=\"20256768\"] \n  15 -> 19 [size =\"20256768\"]\n  15 -> 22 [size =\"20256768\"]\n  15 -> 23 [size =\"20256768\"]\n  16 [size=\"64559104\", alpha=\"0.06\", expect_size=\"32279552\"] \n  16 -> 19 [size =\"32279552\"]\n  16 -> 22 [size =\"32279552\"]\n  16 -> 23 [size =\"32279552\"]\n  17 [size=\"103251968\", alpha=\"0.11\", expect_size=\"51625984\"] \n  17 -> 19 [size =\"51625984\"]\n  17 -> 20 [size =\"51625984\"]\n  18 [size=\"72493056\", alpha=\"0.12\", expect_size=\"36246528\"] \n  18 -> 19 [size =\"36246528\"]\n  18 -> 20 [size =\"36246528\"]\n  18 -> 21 [size =\"36246528\"]\n  18 -> 24 [size =\"36246528\"]\n  18 -> 25 [size =\"36246528\"]\n  19 [size=\"80721920\", alpha=\"0.02\", expect_size=\"40360960\"] \n  20 [size=\"66871296\", alpha=\"0.07\", expect_size=\"33435648\"] \n  21 [size=\"80781312\", alpha=\"0.15\", expect_size=\"40390656\"] \n  22 [size=\"82036736\", alpha=\"0.04\", expect_size=\"41018368\"] \n  23 [size=\"100749312\", alpha=\"0.20\", expect_size=\"50374656\"] \n  24 [size=\"71780352\", alpha=\"0.11\", expect_size=\"35890176\"] \n  25 [size=\"53612544\", alpha=\"0.15\", expect_size=\"26806272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38189056\", alpha=\"0.13\", expect_size=\"19094528\"] \n  1 -> 3 [size =\"19094528\"]\n  2 [size=\"46862336\", alpha=\"0.14\", expect_size=\"23431168\"] \n  2 -> 3 [size =\"23431168\"]\n  3 [size=\"26212352\", alpha=\"0.15\", expect_size=\"13106176\"] \n  3 -> 4 [size =\"13106176\"]\n  3 -> 5 [size =\"13106176\"]\n  4 [size=\"59828224\", alpha=\"0.15\", expect_size=\"29914112\"] \n  4 -> 6 [size =\"29914112\"]\n  5 [size=\"28921856\", alpha=\"0.03\", expect_size=\"14460928\"] \n  5 -> 6 [size =\"14460928\"]\n  6 [size=\"76234752\", alpha=\"0.03\", expect_size=\"38117376\"] \n  6 -> 7 [size =\"38117376\"]\n  7 [size=\"98482176\", alpha=\"0.20\", expect_size=\"49241088\"] \n  7 -> 8 [size =\"49241088\"]\n  7 -> 9 [size =\"49241088\"]\n  8 [size=\"82483200\", alpha=\"0.05\", expect_size=\"41241600\"] \n  8 -> 10 [size =\"41241600\"]\n  8 -> 11 [size =\"41241600\"]\n  9 [size=\"78315520\", alpha=\"0.18\", expect_size=\"39157760\"] \n  9 -> 10 [size =\"39157760\"]\n  9 -> 11 [size =\"39157760\"]\n  10 [size=\"42143744\", alpha=\"0.01\", expect_size=\"21071872\"] \n  10 -> 12 [size =\"21071872\"]\n  11 [size=\"91056128\", alpha=\"0.17\", expect_size=\"45528064\"] \n  11 -> 12 [size =\"45528064\"]\n  12 [size=\"58804224\", alpha=\"0.18\", expect_size=\"29402112\"] \n  12 -> 13 [size =\"29402112\"]\n  13 [size=\"31602688\", alpha=\"0.07\", expect_size=\"15801344\"] \n  13 -> 14 [size =\"15801344\"]\n  13 -> 15 [size =\"15801344\"]\n  14 [size=\"101335040\", alpha=\"0.17\", expect_size=\"50667520\"] \n  14 -> 16 [size =\"50667520\"]\n  14 -> 17 [size =\"50667520\"]\n  15 [size=\"78929920\", alpha=\"0.17\", expect_size=\"39464960\"] \n  15 -> 16 [size =\"39464960\"]\n  15 -> 17 [size =\"39464960\"]\n  16 [size=\"93794304\", alpha=\"0.19\", expect_size=\"46897152\"] \n  16 -> 18 [size =\"46897152\"]\n  16 -> 19 [size =\"46897152\"]\n  17 [size=\"13520896\", alpha=\"0.07\", expect_size=\"6760448\"] \n  17 -> 18 [size =\"6760448\"]\n  17 -> 19 [size =\"6760448\"]\n  18 [size=\"12308480\", alpha=\"0.19\", expect_size=\"6154240\"] \n  18 -> 20 [size =\"6154240\"]\n  18 -> 21 [size =\"6154240\"]\n  19 [size=\"36325376\", alpha=\"0.03\", expect_size=\"18162688\"] \n  19 -> 20 [size =\"18162688\"]\n  19 -> 21 [size =\"18162688\"]\n  20 [size=\"24614912\", alpha=\"0.00\", expect_size=\"12307456\"] \n  20 -> 22 [size =\"12307456\"]\n  20 -> 23 [size =\"12307456\"]\n  21 [size=\"29034496\", alpha=\"0.04\", expect_size=\"14517248\"] \n  21 -> 23 [size =\"14517248\"]\n  22 [size=\"13725696\", alpha=\"0.15\", expect_size=\"6862848\"] \n  22 -> 24 [size =\"6862848\"]\n  23 [size=\"98836480\", alpha=\"0.10\", expect_size=\"49418240\"] \n  23 -> 24 [size =\"49418240\"]\n  24 [size=\"35569664\", alpha=\"0.15\", expect_size=\"17784832\"] \n  24 -> 25 [size =\"17784832\"]\n  25 [size=\"21440512\", alpha=\"0.04\", expect_size=\"10720256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39651840\", alpha=\"0.02\", expect_size=\"15860736\"] \n  1 -> 12 [size =\"15860736\"]\n  1 -> 13 [size =\"15860736\"]\n  1 -> 14 [size =\"15860736\"]\n  1 -> 15 [size =\"15860736\"]\n  1 -> 21 [size =\"15860736\"]\n  2 [size=\"81044480\", alpha=\"0.05\", expect_size=\"32417792\"] \n  2 -> 14 [size =\"32417792\"]\n  2 -> 15 [size =\"32417792\"]\n  2 -> 17 [size =\"32417792\"]\n  2 -> 18 [size =\"32417792\"]\n  2 -> 19 [size =\"32417792\"]\n  2 -> 21 [size =\"32417792\"]\n  3 [size=\"37434880\", alpha=\"0.04\", expect_size=\"14973952\"] \n  3 -> 13 [size =\"14973952\"]\n  3 -> 16 [size =\"14973952\"]\n  3 -> 21 [size =\"14973952\"]\n  4 [size=\"130795520\", alpha=\"0.07\", expect_size=\"52318208\"] \n  4 -> 20 [size =\"52318208\"]\n  4 -> 21 [size =\"52318208\"]\n  5 [size=\"119984640\", alpha=\"0.04\", expect_size=\"47993856\"] \n  5 -> 13 [size =\"47993856\"]\n  5 -> 14 [size =\"47993856\"]\n  5 -> 16 [size =\"47993856\"]\n  5 -> 17 [size =\"47993856\"]\n  5 -> 20 [size =\"47993856\"]\n  6 [size=\"118469120\", alpha=\"0.18\", expect_size=\"47387648\"] \n  6 -> 12 [size =\"47387648\"]\n  6 -> 14 [size =\"47387648\"]\n  6 -> 15 [size =\"47387648\"]\n  7 [size=\"62919680\", alpha=\"0.18\", expect_size=\"25167872\"] \n  7 -> 13 [size =\"25167872\"]\n  7 -> 18 [size =\"25167872\"]\n  7 -> 21 [size =\"25167872\"]\n  8 [size=\"68538880\", alpha=\"0.11\", expect_size=\"27415552\"] \n  8 -> 12 [size =\"27415552\"]\n  8 -> 18 [size =\"27415552\"]\n  8 -> 21 [size =\"27415552\"]\n  9 [size=\"13701120\", alpha=\"0.16\", expect_size=\"5480448\"] \n  9 -> 12 [size =\"5480448\"]\n  9 -> 18 [size =\"5480448\"]\n  9 -> 20 [size =\"5480448\"]\n  9 -> 21 [size =\"5480448\"]\n  10 [size=\"62223360\", alpha=\"0.11\", expect_size=\"24889344\"] \n  10 -> 12 [size =\"24889344\"]\n  10 -> 13 [size =\"24889344\"]\n  10 -> 14 [size =\"24889344\"]\n  10 -> 18 [size =\"24889344\"]\n  10 -> 20 [size =\"24889344\"]\n  10 -> 21 [size =\"24889344\"]\n  11 [size=\"33218560\", alpha=\"0.10\", expect_size=\"13287424\"] \n  11 -> 12 [size =\"13287424\"]\n  11 -> 14 [size =\"13287424\"]\n  11 -> 15 [size =\"13287424\"]\n  11 -> 19 [size =\"13287424\"]\n  11 -> 21 [size =\"13287424\"]\n  11 -> 21 [size =\"13287424\"]\n  12 [size=\"43141120\", alpha=\"0.05\", expect_size=\"17256448\"] \n  12 -> 25 [size =\"17256448\"]\n  13 [size=\"75008000\", alpha=\"0.18\", expect_size=\"30003200\"] \n  13 -> 23 [size =\"30003200\"]\n  13 -> 25 [size =\"30003200\"]\n  14 [size=\"100564480\", alpha=\"0.03\", expect_size=\"40225792\"] \n  14 -> 25 [size =\"40225792\"]\n  15 [size=\"21588480\", alpha=\"0.18\", expect_size=\"8635392\"] \n  15 -> 25 [size =\"8635392\"]\n  16 [size=\"46489600\", alpha=\"0.18\", expect_size=\"18595840\"] \n  16 -> 23 [size =\"18595840\"]\n  16 -> 25 [size =\"18595840\"]\n  17 [size=\"32701440\", alpha=\"0.07\", expect_size=\"13080576\"] \n  17 -> 25 [size =\"13080576\"]\n  17 -> 25 [size =\"13080576\"]\n  18 [size=\"21498880\", alpha=\"0.01\", expect_size=\"8599552\"] \n  18 -> 25 [size =\"8599552\"]\n  19 [size=\"85957120\", alpha=\"0.12\", expect_size=\"34382848\"] \n  19 -> 22 [size =\"34382848\"]\n  19 -> 23 [size =\"34382848\"]\n  20 [size=\"62786560\", alpha=\"0.19\", expect_size=\"25114624\"] \n  20 -> 23 [size =\"25114624\"]\n  21 [size=\"128235520\", alpha=\"0.12\", expect_size=\"51294208\"] \n  21 -> 24 [size =\"51294208\"]\n  21 -> 25 [size =\"51294208\"]\n  22 [size=\"68236800\", alpha=\"0.15\", expect_size=\"27294720\"] \n  23 [size=\"95884800\", alpha=\"0.03\", expect_size=\"38353920\"] \n  24 [size=\"84433920\", alpha=\"0.11\", expect_size=\"33773568\"] \n  25 [size=\"104355840\", alpha=\"0.17\", expect_size=\"41742336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18798080\", alpha=\"0.17\", expect_size=\"7519232\"] \n  1 -> 7 [size =\"7519232\"]\n  1 -> 8 [size =\"7519232\"]\n  2 [size=\"86269440\", alpha=\"0.09\", expect_size=\"34507776\"] \n  2 -> 5 [size =\"34507776\"]\n  2 -> 7 [size =\"34507776\"]\n  2 -> 8 [size =\"34507776\"]\n  3 [size=\"61895680\", alpha=\"0.03\", expect_size=\"24758272\"] \n  3 -> 5 [size =\"24758272\"]\n  3 -> 6 [size =\"24758272\"]\n  4 [size=\"122915840\", alpha=\"0.16\", expect_size=\"49166336\"] \n  4 -> 5 [size =\"49166336\"]\n  4 -> 7 [size =\"49166336\"]\n  4 -> 9 [size =\"49166336\"]\n  5 [size=\"76439040\", alpha=\"0.14\", expect_size=\"30575616\"] \n  5 -> 10 [size =\"30575616\"]\n  5 -> 12 [size =\"30575616\"]\n  5 -> 13 [size =\"30575616\"]\n  6 [size=\"49804800\", alpha=\"0.13\", expect_size=\"19921920\"] \n  6 -> 10 [size =\"19921920\"]\n  6 -> 11 [size =\"19921920\"]\n  6 -> 12 [size =\"19921920\"]\n  7 [size=\"35197440\", alpha=\"0.08\", expect_size=\"14078976\"] \n  7 -> 11 [size =\"14078976\"]\n  7 -> 12 [size =\"14078976\"]\n  7 -> 13 [size =\"14078976\"]\n  8 [size=\"88678400\", alpha=\"0.02\", expect_size=\"35471360\"] \n  9 [size=\"116206080\", alpha=\"0.01\", expect_size=\"46482432\"] \n  9 -> 13 [size =\"46482432\"]\n  10 [size=\"68293120\", alpha=\"0.13\", expect_size=\"27317248\"] \n  11 [size=\"41781760\", alpha=\"0.10\", expect_size=\"16712704\"] \n  11 -> 15 [size =\"16712704\"]\n  12 [size=\"26823680\", alpha=\"0.01\", expect_size=\"10729472\"] \n  12 -> 16 [size =\"10729472\"]\n  13 [size=\"78594560\", alpha=\"0.07\", expect_size=\"31437824\"] \n  13 -> 14 [size =\"31437824\"]\n  13 -> 16 [size =\"31437824\"]\n  14 [size=\"95854080\", alpha=\"0.00\", expect_size=\"38341632\"] \n  14 -> 17 [size =\"38341632\"]\n  14 -> 20 [size =\"38341632\"]\n  15 [size=\"73415680\", alpha=\"0.04\", expect_size=\"29366272\"] \n  15 -> 18 [size =\"29366272\"]\n  15 -> 19 [size =\"29366272\"]\n  16 [size=\"37662720\", alpha=\"0.05\", expect_size=\"15065088\"] \n  16 -> 17 [size =\"15065088\"]\n  16 -> 18 [size =\"15065088\"]\n  16 -> 19 [size =\"15065088\"]\n  17 [size=\"114972160\", alpha=\"0.05\", expect_size=\"45988864\"] \n  17 -> 24 [size =\"45988864\"]\n  18 [size=\"46819840\", alpha=\"0.12\", expect_size=\"18727936\"] \n  18 -> 21 [size =\"18727936\"]\n  18 -> 22 [size =\"18727936\"]\n  18 -> 23 [size =\"18727936\"]\n  19 [size=\"59041280\", alpha=\"0.13\", expect_size=\"23616512\"] \n  19 -> 21 [size =\"23616512\"]\n  20 [size=\"64791040\", alpha=\"0.02\", expect_size=\"25916416\"] \n  20 -> 25 [size =\"25916416\"]\n  21 [size=\"23406080\", alpha=\"0.12\", expect_size=\"9362432\"] \n  22 [size=\"83837440\", alpha=\"0.14\", expect_size=\"33534976\"] \n  23 [size=\"88847360\", alpha=\"0.05\", expect_size=\"35538944\"] \n  24 [size=\"13483520\", alpha=\"0.14\", expect_size=\"5393408\"] \n  25 [size=\"14312960\", alpha=\"0.14\", expect_size=\"5725184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29073408\", alpha=\"0.09\", expect_size=\"14536704\"] \n  1 -> 19 [size =\"14536704\"]\n  1 -> 21 [size =\"14536704\"]\n  1 -> 23 [size =\"14536704\"]\n  1 -> 25 [size =\"14536704\"]\n  2 [size=\"77895680\", alpha=\"0.09\", expect_size=\"38947840\"] \n  2 -> 19 [size =\"38947840\"]\n  2 -> 24 [size =\"38947840\"]\n  2 -> 25 [size =\"38947840\"]\n  3 [size=\"103065600\", alpha=\"0.01\", expect_size=\"51532800\"] \n  3 -> 21 [size =\"51532800\"]\n  3 -> 22 [size =\"51532800\"]\n  3 -> 25 [size =\"51532800\"]\n  4 [size=\"82100224\", alpha=\"0.18\", expect_size=\"41050112\"] \n  4 -> 19 [size =\"41050112\"]\n  4 -> 24 [size =\"41050112\"]\n  5 [size=\"69459968\", alpha=\"0.10\", expect_size=\"34729984\"] \n  5 -> 19 [size =\"34729984\"]\n  5 -> 20 [size =\"34729984\"]\n  5 -> 21 [size =\"34729984\"]\n  5 -> 25 [size =\"34729984\"]\n  6 [size=\"41893888\", alpha=\"0.00\", expect_size=\"20946944\"] \n  6 -> 19 [size =\"20946944\"]\n  6 -> 25 [size =\"20946944\"]\n  7 [size=\"89280512\", alpha=\"0.09\", expect_size=\"44640256\"] \n  8 [size=\"94433280\", alpha=\"0.18\", expect_size=\"47216640\"] \n  8 -> 19 [size =\"47216640\"]\n  9 [size=\"89010176\", alpha=\"0.01\", expect_size=\"44505088\"] \n  9 -> 19 [size =\"44505088\"]\n  9 -> 24 [size =\"44505088\"]\n  9 -> 25 [size =\"44505088\"]\n  10 [size=\"31205376\", alpha=\"0.09\", expect_size=\"15602688\"] \n  10 -> 21 [size =\"15602688\"]\n  10 -> 24 [size =\"15602688\"]\n  11 [size=\"103768064\", alpha=\"0.19\", expect_size=\"51884032\"] \n  11 -> 20 [size =\"51884032\"]\n  11 -> 21 [size =\"51884032\"]\n  11 -> 24 [size =\"51884032\"]\n  12 [size=\"53336064\", alpha=\"0.05\", expect_size=\"26668032\"] \n  12 -> 20 [size =\"26668032\"]\n  12 -> 24 [size =\"26668032\"]\n  13 [size=\"95778816\", alpha=\"0.01\", expect_size=\"47889408\"] \n  14 [size=\"100032512\", alpha=\"0.15\", expect_size=\"50016256\"] \n  14 -> 19 [size =\"50016256\"]\n  14 -> 24 [size =\"50016256\"]\n  14 -> 25 [size =\"50016256\"]\n  15 [size=\"92237824\", alpha=\"0.12\", expect_size=\"46118912\"] \n  15 -> 18 [size =\"46118912\"]\n  15 -> 19 [size =\"46118912\"]\n  15 -> 21 [size =\"46118912\"]\n  16 [size=\"45377536\", alpha=\"0.00\", expect_size=\"22688768\"] \n  17 [size=\"46649344\", alpha=\"0.18\", expect_size=\"23324672\"] \n  18 [size=\"89620480\", alpha=\"0.01\", expect_size=\"44810240\"] \n  19 [size=\"81481728\", alpha=\"0.02\", expect_size=\"40740864\"] \n  20 [size=\"84766720\", alpha=\"0.04\", expect_size=\"42383360\"] \n  21 [size=\"34230272\", alpha=\"0.09\", expect_size=\"17115136\"] \n  22 [size=\"31842304\", alpha=\"0.10\", expect_size=\"15921152\"] \n  23 [size=\"54706176\", alpha=\"0.09\", expect_size=\"27353088\"] \n  24 [size=\"57411584\", alpha=\"0.04\", expect_size=\"28705792\"] \n  25 [size=\"32983040\", alpha=\"0.12\", expect_size=\"16491520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51036160\", alpha=\"0.10\", expect_size=\"20414464\"] \n  1 -> 2 [size =\"20414464\"]\n  2 [size=\"77096960\", alpha=\"0.03\", expect_size=\"30838784\"] \n  2 -> 3 [size =\"30838784\"]\n  2 -> 4 [size =\"30838784\"]\n  3 [size=\"27650560\", alpha=\"0.06\", expect_size=\"11060224\"] \n  3 -> 6 [size =\"11060224\"]\n  4 [size=\"124477440\", alpha=\"0.18\", expect_size=\"49790976\"] \n  4 -> 5 [size =\"49790976\"]\n  5 [size=\"115043840\", alpha=\"0.20\", expect_size=\"46017536\"] \n  5 -> 7 [size =\"46017536\"]\n  6 [size=\"92613120\", alpha=\"0.07\", expect_size=\"37045248\"] \n  7 [size=\"112097280\", alpha=\"0.18\", expect_size=\"44838912\"] \n  7 -> 8 [size =\"44838912\"]\n  8 [size=\"124262400\", alpha=\"0.19\", expect_size=\"49704960\"] \n  8 -> 9 [size =\"49704960\"]\n  8 -> 10 [size =\"49704960\"]\n  9 [size=\"17633280\", alpha=\"0.20\", expect_size=\"7053312\"] \n  9 -> 12 [size =\"7053312\"]\n  10 [size=\"91281920\", alpha=\"0.08\", expect_size=\"36512768\"] \n  10 -> 11 [size =\"36512768\"]\n  11 [size=\"77222400\", alpha=\"0.05\", expect_size=\"30888960\"] \n  12 [size=\"18598400\", alpha=\"0.02\", expect_size=\"7439360\"] \n  12 -> 13 [size =\"7439360\"]\n  13 [size=\"37445120\", alpha=\"0.00\", expect_size=\"14978048\"] \n  13 -> 14 [size =\"14978048\"]\n  14 [size=\"71068160\", alpha=\"0.15\", expect_size=\"28427264\"] \n  14 -> 15 [size =\"28427264\"]\n  15 [size=\"57751040\", alpha=\"0.14\", expect_size=\"23100416\"] \n  15 -> 16 [size =\"23100416\"]\n  16 [size=\"56537600\", alpha=\"0.05\", expect_size=\"22615040\"] \n  16 -> 17 [size =\"22615040\"]\n  16 -> 18 [size =\"22615040\"]\n  17 [size=\"95738880\", alpha=\"0.16\", expect_size=\"38295552\"] \n  18 [size=\"81886720\", alpha=\"0.16\", expect_size=\"32754688\"] \n  18 -> 19 [size =\"32754688\"]\n  19 [size=\"77038080\", alpha=\"0.07\", expect_size=\"30815232\"] \n  19 -> 20 [size =\"30815232\"]\n  19 -> 21 [size =\"30815232\"]\n  20 [size=\"76367360\", alpha=\"0.04\", expect_size=\"30546944\"] \n  21 [size=\"120954880\", alpha=\"0.07\", expect_size=\"48381952\"] \n  21 -> 22 [size =\"48381952\"]\n  22 [size=\"30725120\", alpha=\"0.01\", expect_size=\"12290048\"] \n  22 -> 23 [size =\"12290048\"]\n  23 [size=\"44825600\", alpha=\"0.17\", expect_size=\"17930240\"] \n  23 -> 24 [size =\"17930240\"]\n  23 -> 25 [size =\"17930240\"]\n  24 [size=\"47124480\", alpha=\"0.13\", expect_size=\"18849792\"] \n  25 [size=\"20200960\", alpha=\"0.05\", expect_size=\"8080384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96488960\", alpha=\"0.02\", expect_size=\"38595584\"] \n  2 [size=\"61632000\", alpha=\"0.13\", expect_size=\"24652800\"] \n  2 -> 5 [size =\"24652800\"]\n  2 -> 7 [size =\"24652800\"]\n  3 [size=\"24609280\", alpha=\"0.15\", expect_size=\"9843712\"] \n  3 -> 4 [size =\"9843712\"]\n  3 -> 6 [size =\"9843712\"]\n  3 -> 7 [size =\"9843712\"]\n  3 -> 8 [size =\"9843712\"]\n  4 [size=\"118988800\", alpha=\"0.13\", expect_size=\"47595520\"] \n  5 [size=\"87884800\", alpha=\"0.15\", expect_size=\"35153920\"] \n  5 -> 9 [size =\"35153920\"]\n  6 [size=\"117583360\", alpha=\"0.17\", expect_size=\"47033344\"] \n  7 [size=\"93944320\", alpha=\"0.08\", expect_size=\"37577728\"] \n  7 -> 9 [size =\"37577728\"]\n  7 -> 10 [size =\"37577728\"]\n  7 -> 11 [size =\"37577728\"]\n  8 [size=\"130119680\", alpha=\"0.16\", expect_size=\"52047872\"] \n  8 -> 9 [size =\"52047872\"]\n  9 [size=\"121221120\", alpha=\"0.11\", expect_size=\"48488448\"] \n  9 -> 16 [size =\"48488448\"]\n  10 [size=\"27504640\", alpha=\"0.16\", expect_size=\"11001856\"] \n  10 -> 13 [size =\"11001856\"]\n  11 [size=\"43340800\", alpha=\"0.08\", expect_size=\"17336320\"] \n  11 -> 12 [size =\"17336320\"]\n  11 -> 14 [size =\"17336320\"]\n  11 -> 15 [size =\"17336320\"]\n  12 [size=\"53713920\", alpha=\"0.05\", expect_size=\"21485568\"] \n  12 -> 18 [size =\"21485568\"]\n  13 [size=\"128051200\", alpha=\"0.18\", expect_size=\"51220480\"] \n  13 -> 17 [size =\"51220480\"]\n  14 [size=\"96942080\", alpha=\"0.02\", expect_size=\"38776832\"] \n  15 [size=\"57786880\", alpha=\"0.05\", expect_size=\"23114752\"] \n  15 -> 17 [size =\"23114752\"]\n  16 [size=\"31208960\", alpha=\"0.06\", expect_size=\"12483584\"] \n  16 -> 17 [size =\"12483584\"]\n  17 [size=\"130301440\", alpha=\"0.02\", expect_size=\"52120576\"] \n  17 -> 20 [size =\"52120576\"]\n  17 -> 21 [size =\"52120576\"]\n  17 -> 22 [size =\"52120576\"]\n  18 [size=\"61286400\", alpha=\"0.04\", expect_size=\"24514560\"] \n  18 -> 19 [size =\"24514560\"]\n  18 -> 22 [size =\"24514560\"]\n  19 [size=\"35235840\", alpha=\"0.13\", expect_size=\"14094336\"] \n  19 -> 23 [size =\"14094336\"]\n  19 -> 24 [size =\"14094336\"]\n  20 [size=\"102574080\", alpha=\"0.15\", expect_size=\"41029632\"] \n  21 [size=\"77063680\", alpha=\"0.11\", expect_size=\"30825472\"] \n  22 [size=\"125460480\", alpha=\"0.15\", expect_size=\"50184192\"] \n  22 -> 23 [size =\"50184192\"]\n  23 [size=\"34590720\", alpha=\"0.00\", expect_size=\"13836288\"] \n  23 -> 25 [size =\"13836288\"]\n  24 [size=\"24696320\", alpha=\"0.04\", expect_size=\"9878528\"] \n  24 -> 25 [size =\"9878528\"]\n  25 [size=\"37678080\", alpha=\"0.01\", expect_size=\"15071232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67895296\", alpha=\"0.08\", expect_size=\"33947648\"] \n  1 -> 3 [size =\"33947648\"]\n  2 [size=\"65521664\", alpha=\"0.15\", expect_size=\"32760832\"] \n  2 -> 3 [size =\"32760832\"]\n  3 [size=\"33654784\", alpha=\"0.02\", expect_size=\"16827392\"] \n  3 -> 4 [size =\"16827392\"]\n  3 -> 5 [size =\"16827392\"]\n  4 [size=\"59979776\", alpha=\"0.02\", expect_size=\"29989888\"] \n  4 -> 6 [size =\"29989888\"]\n  4 -> 7 [size =\"29989888\"]\n  5 [size=\"29802496\", alpha=\"0.12\", expect_size=\"14901248\"] \n  5 -> 6 [size =\"14901248\"]\n  5 -> 7 [size =\"14901248\"]\n  6 [size=\"86130688\", alpha=\"0.17\", expect_size=\"43065344\"] \n  6 -> 8 [size =\"43065344\"]\n  6 -> 9 [size =\"43065344\"]\n  7 [size=\"40255488\", alpha=\"0.09\", expect_size=\"20127744\"] \n  7 -> 8 [size =\"20127744\"]\n  7 -> 9 [size =\"20127744\"]\n  8 [size=\"91258880\", alpha=\"0.03\", expect_size=\"45629440\"] \n  9 [size=\"26652672\", alpha=\"0.15\", expect_size=\"13326336\"] \n  9 -> 10 [size =\"13326336\"]\n  9 -> 11 [size =\"13326336\"]\n  10 [size=\"95731712\", alpha=\"0.20\", expect_size=\"47865856\"] \n  10 -> 13 [size =\"47865856\"]\n  11 [size=\"55785472\", alpha=\"0.02\", expect_size=\"27892736\"] \n  11 -> 12 [size =\"27892736\"]\n  11 -> 13 [size =\"27892736\"]\n  12 [size=\"95524864\", alpha=\"0.12\", expect_size=\"47762432\"] \n  12 -> 14 [size =\"47762432\"]\n  12 -> 15 [size =\"47762432\"]\n  13 [size=\"74053632\", alpha=\"0.15\", expect_size=\"37026816\"] \n  13 -> 15 [size =\"37026816\"]\n  14 [size=\"85428224\", alpha=\"0.01\", expect_size=\"42714112\"] \n  14 -> 16 [size =\"42714112\"]\n  15 [size=\"94492672\", alpha=\"0.03\", expect_size=\"47246336\"] \n  15 -> 16 [size =\"47246336\"]\n  16 [size=\"57634816\", alpha=\"0.17\", expect_size=\"28817408\"] \n  16 -> 17 [size =\"28817408\"]\n  16 -> 18 [size =\"28817408\"]\n  17 [size=\"44290048\", alpha=\"0.09\", expect_size=\"22145024\"] \n  17 -> 20 [size =\"22145024\"]\n  18 [size=\"84934656\", alpha=\"0.01\", expect_size=\"42467328\"] \n  18 -> 19 [size =\"42467328\"]\n  19 [size=\"99420160\", alpha=\"0.08\", expect_size=\"49710080\"] \n  19 -> 21 [size =\"49710080\"]\n  19 -> 22 [size =\"49710080\"]\n  20 [size=\"76681216\", alpha=\"0.17\", expect_size=\"38340608\"] \n  20 -> 21 [size =\"38340608\"]\n  20 -> 22 [size =\"38340608\"]\n  21 [size=\"75896832\", alpha=\"0.19\", expect_size=\"37948416\"] \n  22 [size=\"84445184\", alpha=\"0.12\", expect_size=\"42222592\"] \n  22 -> 23 [size =\"42222592\"]\n  23 [size=\"45025280\", alpha=\"0.11\", expect_size=\"22512640\"] \n  23 -> 24 [size =\"22512640\"]\n  24 [size=\"22693888\", alpha=\"0.19\", expect_size=\"11346944\"] \n  24 -> 25 [size =\"11346944\"]\n  25 [size=\"28712960\", alpha=\"0.12\", expect_size=\"14356480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166966613\", alpha=\"0.16\", expect_size=\"50089984\"] \n  1 -> 3 [size =\"50089984\"]\n  2 [size=\"83261440\", alpha=\"0.02\", expect_size=\"24978432\"] \n  2 -> 3 [size =\"24978432\"]\n  3 [size=\"74745173\", alpha=\"0.15\", expect_size=\"22423552\"] \n  3 -> 4 [size =\"22423552\"]\n  4 [size=\"20186453\", alpha=\"0.16\", expect_size=\"6055936\"] \n  4 -> 5 [size =\"6055936\"]\n  4 -> 6 [size =\"6055936\"]\n  5 [size=\"55080960\", alpha=\"0.12\", expect_size=\"16524288\"] \n  6 [size=\"66979840\", alpha=\"0.03\", expect_size=\"20093952\"] \n  6 -> 7 [size =\"20093952\"]\n  7 [size=\"136263680\", alpha=\"0.16\", expect_size=\"40879104\"] \n  7 -> 8 [size =\"40879104\"]\n  7 -> 9 [size =\"40879104\"]\n  8 [size=\"106878293\", alpha=\"0.06\", expect_size=\"32063488\"] \n  8 -> 11 [size =\"32063488\"]\n  9 [size=\"126504960\", alpha=\"0.04\", expect_size=\"37951488\"] \n  9 -> 10 [size =\"37951488\"]\n  10 [size=\"22132053\", alpha=\"0.05\", expect_size=\"6639616\"] \n  10 -> 12 [size =\"6639616\"]\n  10 -> 13 [size =\"6639616\"]\n  11 [size=\"173475840\", alpha=\"0.04\", expect_size=\"52042752\"] \n  11 -> 12 [size =\"52042752\"]\n  11 -> 13 [size =\"52042752\"]\n  12 [size=\"144435200\", alpha=\"0.11\", expect_size=\"43330560\"] \n  12 -> 14 [size =\"43330560\"]\n  12 -> 15 [size =\"43330560\"]\n  13 [size=\"158044160\", alpha=\"0.11\", expect_size=\"47413248\"] \n  13 -> 14 [size =\"47413248\"]\n  13 -> 15 [size =\"47413248\"]\n  14 [size=\"120067413\", alpha=\"0.13\", expect_size=\"36020224\"] \n  14 -> 16 [size =\"36020224\"]\n  15 [size=\"86606507\", alpha=\"0.03\", expect_size=\"25981952\"] \n  15 -> 16 [size =\"25981952\"]\n  16 [size=\"21480107\", alpha=\"0.16\", expect_size=\"6444032\"] \n  16 -> 17 [size =\"6444032\"]\n  17 [size=\"46510080\", alpha=\"0.09\", expect_size=\"13953024\"] \n  17 -> 18 [size =\"13953024\"]\n  18 [size=\"17786880\", alpha=\"0.00\", expect_size=\"5336064\"] \n  18 -> 19 [size =\"5336064\"]\n  18 -> 20 [size =\"5336064\"]\n  19 [size=\"62443520\", alpha=\"0.13\", expect_size=\"18733056\"] \n  19 -> 21 [size =\"18733056\"]\n  20 [size=\"95484587\", alpha=\"0.16\", expect_size=\"28645376\"] \n  20 -> 21 [size =\"28645376\"]\n  21 [size=\"132683093\", alpha=\"0.19\", expect_size=\"39804928\"] \n  21 -> 22 [size =\"39804928\"]\n  21 -> 23 [size =\"39804928\"]\n  22 [size=\"164911787\", alpha=\"0.10\", expect_size=\"49473536\"] \n  22 -> 24 [size =\"49473536\"]\n  23 [size=\"95330987\", alpha=\"0.08\", expect_size=\"28599296\"] \n  23 -> 24 [size =\"28599296\"]\n  24 [size=\"22971733\", alpha=\"0.06\", expect_size=\"6891520\"] \n  24 -> 25 [size =\"6891520\"]\n  25 [size=\"122746880\", alpha=\"0.10\", expect_size=\"36824064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98636800\", alpha=\"0.16\", expect_size=\"39454720\"] \n  1 -> 23 [size =\"39454720\"]\n  2 [size=\"63185920\", alpha=\"0.18\", expect_size=\"25274368\"] \n  2 -> 25 [size =\"25274368\"]\n  3 [size=\"17635840\", alpha=\"0.13\", expect_size=\"7054336\"] \n  3 -> 20 [size =\"7054336\"]\n  3 -> 25 [size =\"7054336\"]\n  4 [size=\"117020160\", alpha=\"0.09\", expect_size=\"46808064\"] \n  4 -> 20 [size =\"46808064\"]\n  4 -> 22 [size =\"46808064\"]\n  4 -> 25 [size =\"46808064\"]\n  5 [size=\"77365760\", alpha=\"0.16\", expect_size=\"30946304\"] \n  5 -> 19 [size =\"30946304\"]\n  5 -> 20 [size =\"30946304\"]\n  5 -> 24 [size =\"30946304\"]\n  5 -> 25 [size =\"30946304\"]\n  6 [size=\"69742080\", alpha=\"0.13\", expect_size=\"27896832\"] \n  6 -> 19 [size =\"27896832\"]\n  6 -> 20 [size =\"27896832\"]\n  6 -> 24 [size =\"27896832\"]\n  7 [size=\"20682240\", alpha=\"0.10\", expect_size=\"8272896\"] \n  8 [size=\"84782080\", alpha=\"0.14\", expect_size=\"33912832\"] \n  8 -> 25 [size =\"33912832\"]\n  9 [size=\"64778240\", alpha=\"0.09\", expect_size=\"25911296\"] \n  9 -> 23 [size =\"25911296\"]\n  9 -> 24 [size =\"25911296\"]\n  10 [size=\"115489280\", alpha=\"0.20\", expect_size=\"46195712\"] \n  10 -> 22 [size =\"46195712\"]\n  10 -> 24 [size =\"46195712\"]\n  11 [size=\"103882240\", alpha=\"0.04\", expect_size=\"41552896\"] \n  11 -> 24 [size =\"41552896\"]\n  12 [size=\"81256960\", alpha=\"0.12\", expect_size=\"32502784\"] \n  12 -> 24 [size =\"32502784\"]\n  13 [size=\"69783040\", alpha=\"0.14\", expect_size=\"27913216\"] \n  13 -> 20 [size =\"27913216\"]\n  13 -> 23 [size =\"27913216\"]\n  13 -> 24 [size =\"27913216\"]\n  13 -> 25 [size =\"27913216\"]\n  14 [size=\"27668480\", alpha=\"0.19\", expect_size=\"11067392\"] \n  14 -> 19 [size =\"11067392\"]\n  14 -> 20 [size =\"11067392\"]\n  14 -> 23 [size =\"11067392\"]\n  14 -> 25 [size =\"11067392\"]\n  15 [size=\"79457280\", alpha=\"0.08\", expect_size=\"31782912\"] \n  15 -> 25 [size =\"31782912\"]\n  16 [size=\"58721280\", alpha=\"0.15\", expect_size=\"23488512\"] \n  16 -> 25 [size =\"23488512\"]\n  17 [size=\"15966720\", alpha=\"0.14\", expect_size=\"6386688\"] \n  17 -> 21 [size =\"6386688\"]\n  17 -> 24 [size =\"6386688\"]\n  18 [size=\"73802240\", alpha=\"0.13\", expect_size=\"29520896\"] \n  18 -> 23 [size =\"29520896\"]\n  19 [size=\"40176640\", alpha=\"0.03\", expect_size=\"16070656\"] \n  20 [size=\"95582720\", alpha=\"0.08\", expect_size=\"38233088\"] \n  21 [size=\"93765120\", alpha=\"0.08\", expect_size=\"37506048\"] \n  22 [size=\"117061120\", alpha=\"0.16\", expect_size=\"46824448\"] \n  23 [size=\"67189760\", alpha=\"0.05\", expect_size=\"26875904\"] \n  24 [size=\"33290240\", alpha=\"0.12\", expect_size=\"13316096\"] \n  25 [size=\"26327040\", alpha=\"0.09\", expect_size=\"10530816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113976320\", alpha=\"0.07\", expect_size=\"45590528\"] \n  1 -> 15 [size =\"45590528\"]\n  1 -> 16 [size =\"45590528\"]\n  2 [size=\"25384960\", alpha=\"0.03\", expect_size=\"10153984\"] \n  2 -> 13 [size =\"10153984\"]\n  2 -> 14 [size =\"10153984\"]\n  2 -> 15 [size =\"10153984\"]\n  2 -> 16 [size =\"10153984\"]\n  2 -> 17 [size =\"10153984\"]\n  2 -> 20 [size =\"10153984\"]\n  3 [size=\"108357120\", alpha=\"0.04\", expect_size=\"43342848\"] \n  3 -> 15 [size =\"43342848\"]\n  3 -> 16 [size =\"43342848\"]\n  3 -> 17 [size =\"43342848\"]\n  3 -> 20 [size =\"43342848\"]\n  4 [size=\"17131520\", alpha=\"0.01\", expect_size=\"6852608\"] \n  4 -> 14 [size =\"6852608\"]\n  4 -> 17 [size =\"6852608\"]\n  4 -> 18 [size =\"6852608\"]\n  4 -> 20 [size =\"6852608\"]\n  5 [size=\"115543040\", alpha=\"0.00\", expect_size=\"46217216\"] \n  5 -> 13 [size =\"46217216\"]\n  5 -> 14 [size =\"46217216\"]\n  5 -> 21 [size =\"46217216\"]\n  6 [size=\"101056000\", alpha=\"0.14\", expect_size=\"40422400\"] \n  6 -> 17 [size =\"40422400\"]\n  6 -> 19 [size =\"40422400\"]\n  6 -> 20 [size =\"40422400\"]\n  7 [size=\"21949440\", alpha=\"0.17\", expect_size=\"8779776\"] \n  7 -> 12 [size =\"8779776\"]\n  7 -> 15 [size =\"8779776\"]\n  7 -> 17 [size =\"8779776\"]\n  7 -> 19 [size =\"8779776\"]\n  7 -> 20 [size =\"8779776\"]\n  7 -> 22 [size =\"8779776\"]\n  8 [size=\"120133120\", alpha=\"0.17\", expect_size=\"48053248\"] \n  8 -> 15 [size =\"48053248\"]\n  8 -> 22 [size =\"48053248\"]\n  9 [size=\"117416960\", alpha=\"0.10\", expect_size=\"46966784\"] \n  9 -> 12 [size =\"46966784\"]\n  9 -> 13 [size =\"46966784\"]\n  9 -> 15 [size =\"46966784\"]\n  9 -> 22 [size =\"46966784\"]\n  10 [size=\"72773120\", alpha=\"0.05\", expect_size=\"29109248\"] \n  10 -> 12 [size =\"29109248\"]\n  10 -> 16 [size =\"29109248\"]\n  10 -> 17 [size =\"29109248\"]\n  10 -> 20 [size =\"29109248\"]\n  10 -> 22 [size =\"29109248\"]\n  11 [size=\"111869440\", alpha=\"0.08\", expect_size=\"44747776\"] \n  11 -> 15 [size =\"44747776\"]\n  11 -> 16 [size =\"44747776\"]\n  11 -> 19 [size =\"44747776\"]\n  11 -> 20 [size =\"44747776\"]\n  11 -> 22 [size =\"44747776\"]\n  12 [size=\"37242880\", alpha=\"0.18\", expect_size=\"14897152\"] \n  12 -> 24 [size =\"14897152\"]\n  12 -> 25 [size =\"14897152\"]\n  13 [size=\"55029760\", alpha=\"0.11\", expect_size=\"22011904\"] \n  13 -> 24 [size =\"22011904\"]\n  13 -> 25 [size =\"22011904\"]\n  14 [size=\"79367680\", alpha=\"0.02\", expect_size=\"31747072\"] \n  14 -> 24 [size =\"31747072\"]\n  15 [size=\"82892800\", alpha=\"0.06\", expect_size=\"33157120\"] \n  15 -> 24 [size =\"33157120\"]\n  16 [size=\"84177920\", alpha=\"0.15\", expect_size=\"33671168\"] \n  16 -> 24 [size =\"33671168\"]\n  17 [size=\"50158080\", alpha=\"0.13\", expect_size=\"20063232\"] \n  18 [size=\"32824320\", alpha=\"0.17\", expect_size=\"13129728\"] \n  18 -> 23 [size =\"13129728\"]\n  18 -> 25 [size =\"13129728\"]\n  19 [size=\"16476160\", alpha=\"0.10\", expect_size=\"6590464\"] \n  19 -> 24 [size =\"6590464\"]\n  19 -> 25 [size =\"6590464\"]\n  20 [size=\"75491840\", alpha=\"0.18\", expect_size=\"30196736\"] \n  20 -> 23 [size =\"30196736\"]\n  20 -> 25 [size =\"30196736\"]\n  21 [size=\"102512640\", alpha=\"0.03\", expect_size=\"41005056\"] \n  21 -> 23 [size =\"41005056\"]\n  22 [size=\"32512000\", alpha=\"0.10\", expect_size=\"13004800\"] \n  22 -> 25 [size =\"13004800\"]\n  23 [size=\"20838400\", alpha=\"0.13\", expect_size=\"8335360\"] \n  24 [size=\"87490560\", alpha=\"0.17\", expect_size=\"34996224\"] \n  25 [size=\"100490240\", alpha=\"0.19\", expect_size=\"40196096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101614933\", alpha=\"0.06\", expect_size=\"30484480\"] \n  1 -> 2 [size =\"30484480\"]\n  2 [size=\"72683520\", alpha=\"0.16\", expect_size=\"21805056\"] \n  2 -> 3 [size =\"21805056\"]\n  2 -> 4 [size =\"21805056\"]\n  3 [size=\"31470933\", alpha=\"0.03\", expect_size=\"9441280\"] \n  4 [size=\"60487680\", alpha=\"0.07\", expect_size=\"18146304\"] \n  4 -> 5 [size =\"18146304\"]\n  5 [size=\"36205227\", alpha=\"0.16\", expect_size=\"10861568\"] \n  5 -> 6 [size =\"10861568\"]\n  5 -> 7 [size =\"10861568\"]\n  6 [size=\"44588373\", alpha=\"0.06\", expect_size=\"13376512\"] \n  6 -> 8 [size =\"13376512\"]\n  7 [size=\"130102613\", alpha=\"0.12\", expect_size=\"39030784\"] \n  7 -> 8 [size =\"39030784\"]\n  8 [size=\"64385707\", alpha=\"0.02\", expect_size=\"19315712\"] \n  8 -> 9 [size =\"19315712\"]\n  9 [size=\"171380053\", alpha=\"0.18\", expect_size=\"51414016\"] \n  9 -> 10 [size =\"51414016\"]\n  9 -> 11 [size =\"51414016\"]\n  10 [size=\"115633493\", alpha=\"0.04\", expect_size=\"34690048\"] \n  10 -> 12 [size =\"34690048\"]\n  10 -> 13 [size =\"34690048\"]\n  11 [size=\"44888747\", alpha=\"0.17\", expect_size=\"13466624\"] \n  11 -> 12 [size =\"13466624\"]\n  11 -> 13 [size =\"13466624\"]\n  12 [size=\"89664853\", alpha=\"0.00\", expect_size=\"26899456\"] \n  12 -> 14 [size =\"26899456\"]\n  13 [size=\"58449920\", alpha=\"0.17\", expect_size=\"17534976\"] \n  13 -> 14 [size =\"17534976\"]\n  14 [size=\"79284907\", alpha=\"0.03\", expect_size=\"23785472\"] \n  14 -> 15 [size =\"23785472\"]\n  14 -> 16 [size =\"23785472\"]\n  15 [size=\"132819627\", alpha=\"0.17\", expect_size=\"39845888\"] \n  15 -> 17 [size =\"39845888\"]\n  16 [size=\"99638613\", alpha=\"0.11\", expect_size=\"29891584\"] \n  17 [size=\"144090453\", alpha=\"0.10\", expect_size=\"43227136\"] \n  17 -> 18 [size =\"43227136\"]\n  17 -> 19 [size =\"43227136\"]\n  18 [size=\"82230613\", alpha=\"0.05\", expect_size=\"24669184\"] \n  18 -> 20 [size =\"24669184\"]\n  18 -> 21 [size =\"24669184\"]\n  19 [size=\"94972587\", alpha=\"0.20\", expect_size=\"28491776\"] \n  19 -> 20 [size =\"28491776\"]\n  19 -> 21 [size =\"28491776\"]\n  20 [size=\"81565013\", alpha=\"0.15\", expect_size=\"24469504\"] \n  20 -> 22 [size =\"24469504\"]\n  21 [size=\"112834560\", alpha=\"0.01\", expect_size=\"33850368\"] \n  21 -> 22 [size =\"33850368\"]\n  22 [size=\"85562027\", alpha=\"0.14\", expect_size=\"25668608\"] \n  22 -> 23 [size =\"25668608\"]\n  23 [size=\"86347093\", alpha=\"0.09\", expect_size=\"25904128\"] \n  23 -> 24 [size =\"25904128\"]\n  23 -> 25 [size =\"25904128\"]\n  24 [size=\"65177600\", alpha=\"0.09\", expect_size=\"19553280\"] \n  25 [size=\"86159360\", alpha=\"0.12\", expect_size=\"25847808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62169088\", alpha=\"0.12\", expect_size=\"31084544\"] \n  2 [size=\"55513088\", alpha=\"0.04\", expect_size=\"27756544\"] \n  2 -> 3 [size =\"27756544\"]\n  3 [size=\"39673856\", alpha=\"0.01\", expect_size=\"19836928\"] \n  3 -> 4 [size =\"19836928\"]\n  4 [size=\"26253312\", alpha=\"0.20\", expect_size=\"13126656\"] \n  4 -> 5 [size =\"13126656\"]\n  4 -> 6 [size =\"13126656\"]\n  5 [size=\"78059520\", alpha=\"0.13\", expect_size=\"39029760\"] \n  5 -> 8 [size =\"39029760\"]\n  6 [size=\"18946048\", alpha=\"0.06\", expect_size=\"9473024\"] \n  6 -> 7 [size =\"9473024\"]\n  7 [size=\"104325120\", alpha=\"0.06\", expect_size=\"52162560\"] \n  8 [size=\"72589312\", alpha=\"0.19\", expect_size=\"36294656\"] \n  8 -> 9 [size =\"36294656\"]\n  9 [size=\"43223040\", alpha=\"0.11\", expect_size=\"21611520\"] \n  9 -> 10 [size =\"21611520\"]\n  10 [size=\"65544192\", alpha=\"0.15\", expect_size=\"32772096\"] \n  10 -> 11 [size =\"32772096\"]\n  10 -> 12 [size =\"32772096\"]\n  11 [size=\"55930880\", alpha=\"0.05\", expect_size=\"27965440\"] \n  12 [size=\"17217536\", alpha=\"0.00\", expect_size=\"8608768\"] \n  12 -> 13 [size =\"8608768\"]\n  13 [size=\"34639872\", alpha=\"0.16\", expect_size=\"17319936\"] \n  13 -> 14 [size =\"17319936\"]\n  13 -> 15 [size =\"17319936\"]\n  14 [size=\"40644608\", alpha=\"0.18\", expect_size=\"20322304\"] \n  14 -> 16 [size =\"20322304\"]\n  14 -> 17 [size =\"20322304\"]\n  15 [size=\"39901184\", alpha=\"0.07\", expect_size=\"19950592\"] \n  16 [size=\"101281792\", alpha=\"0.16\", expect_size=\"50640896\"] \n  16 -> 18 [size =\"50640896\"]\n  16 -> 19 [size =\"50640896\"]\n  17 [size=\"32917504\", alpha=\"0.10\", expect_size=\"16458752\"] \n  18 [size=\"62302208\", alpha=\"0.11\", expect_size=\"31151104\"] \n  18 -> 21 [size =\"31151104\"]\n  19 [size=\"56893440\", alpha=\"0.09\", expect_size=\"28446720\"] \n  19 -> 20 [size =\"28446720\"]\n  20 [size=\"15775744\", alpha=\"0.16\", expect_size=\"7887872\"] \n  21 [size=\"86562816\", alpha=\"0.15\", expect_size=\"43281408\"] \n  21 -> 22 [size =\"43281408\"]\n  22 [size=\"15171584\", alpha=\"0.02\", expect_size=\"7585792\"] \n  22 -> 23 [size =\"7585792\"]\n  23 [size=\"15718400\", alpha=\"0.17\", expect_size=\"7859200\"] \n  23 -> 24 [size =\"7859200\"]\n  24 [size=\"90877952\", alpha=\"0.14\", expect_size=\"45438976\"] \n  24 -> 25 [size =\"45438976\"]\n  25 [size=\"83437568\", alpha=\"0.06\", expect_size=\"41718784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32652800\", alpha=\"0.08\", expect_size=\"13061120\"] \n  1 -> 2 [size =\"13061120\"]\n  2 [size=\"35082240\", alpha=\"0.13\", expect_size=\"14032896\"] \n  2 -> 3 [size =\"14032896\"]\n  3 [size=\"104898560\", alpha=\"0.20\", expect_size=\"41959424\"] \n  3 -> 4 [size =\"41959424\"]\n  4 [size=\"88632320\", alpha=\"0.00\", expect_size=\"35452928\"] \n  4 -> 5 [size =\"35452928\"]\n  5 [size=\"64350720\", alpha=\"0.18\", expect_size=\"25740288\"] \n  5 -> 6 [size =\"25740288\"]\n  6 [size=\"108111360\", alpha=\"0.19\", expect_size=\"43244544\"] \n  6 -> 7 [size =\"43244544\"]\n  7 [size=\"83896320\", alpha=\"0.15\", expect_size=\"33558528\"] \n  7 -> 8 [size =\"33558528\"]\n  8 [size=\"62504960\", alpha=\"0.09\", expect_size=\"25001984\"] \n  8 -> 9 [size =\"25001984\"]\n  9 [size=\"35589120\", alpha=\"0.10\", expect_size=\"14235648\"] \n  9 -> 10 [size =\"14235648\"]\n  10 [size=\"97116160\", alpha=\"0.13\", expect_size=\"38846464\"] \n  10 -> 11 [size =\"38846464\"]\n  11 [size=\"87485440\", alpha=\"0.12\", expect_size=\"34994176\"] \n  11 -> 12 [size =\"34994176\"]\n  12 [size=\"14755840\", alpha=\"0.00\", expect_size=\"5902336\"] \n  12 -> 13 [size =\"5902336\"]\n  13 [size=\"89507840\", alpha=\"0.10\", expect_size=\"35803136\"] \n  13 -> 14 [size =\"35803136\"]\n  14 [size=\"88404480\", alpha=\"0.06\", expect_size=\"35361792\"] \n  14 -> 15 [size =\"35361792\"]\n  15 [size=\"90004480\", alpha=\"0.19\", expect_size=\"36001792\"] \n  15 -> 16 [size =\"36001792\"]\n  16 [size=\"77207040\", alpha=\"0.05\", expect_size=\"30882816\"] \n  16 -> 17 [size =\"30882816\"]\n  17 [size=\"68756480\", alpha=\"0.09\", expect_size=\"27502592\"] \n  17 -> 18 [size =\"27502592\"]\n  18 [size=\"37857280\", alpha=\"0.04\", expect_size=\"15142912\"] \n  18 -> 19 [size =\"15142912\"]\n  19 [size=\"93670400\", alpha=\"0.06\", expect_size=\"37468160\"] \n  19 -> 20 [size =\"37468160\"]\n  20 [size=\"34188800\", alpha=\"0.15\", expect_size=\"13675520\"] \n  20 -> 21 [size =\"13675520\"]\n  21 [size=\"109352960\", alpha=\"0.07\", expect_size=\"43741184\"] \n  21 -> 22 [size =\"43741184\"]\n  22 [size=\"61734400\", alpha=\"0.03\", expect_size=\"24693760\"] \n  22 -> 23 [size =\"24693760\"]\n  23 [size=\"64064000\", alpha=\"0.14\", expect_size=\"25625600\"] \n  23 -> 24 [size =\"25625600\"]\n  24 [size=\"125317120\", alpha=\"0.19\", expect_size=\"50126848\"] \n  24 -> 25 [size =\"50126848\"]\n  25 [size=\"45301760\", alpha=\"0.12\", expect_size=\"18120704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78571520\", alpha=\"0.01\", expect_size=\"31428608\"] \n  1 -> 2 [size =\"31428608\"]\n  2 [size=\"97628160\", alpha=\"0.14\", expect_size=\"39051264\"] \n  2 -> 3 [size =\"39051264\"]\n  3 [size=\"24849920\", alpha=\"0.17\", expect_size=\"9939968\"] \n  3 -> 4 [size =\"9939968\"]\n  4 [size=\"57308160\", alpha=\"0.11\", expect_size=\"22923264\"] \n  4 -> 5 [size =\"22923264\"]\n  5 [size=\"30138880\", alpha=\"0.11\", expect_size=\"12055552\"] \n  5 -> 6 [size =\"12055552\"]\n  6 [size=\"126289920\", alpha=\"0.14\", expect_size=\"50515968\"] \n  6 -> 7 [size =\"50515968\"]\n  7 [size=\"60439040\", alpha=\"0.04\", expect_size=\"24175616\"] \n  7 -> 8 [size =\"24175616\"]\n  8 [size=\"16355840\", alpha=\"0.16\", expect_size=\"6542336\"] \n  8 -> 9 [size =\"6542336\"]\n  9 [size=\"64217600\", alpha=\"0.09\", expect_size=\"25687040\"] \n  9 -> 10 [size =\"25687040\"]\n  10 [size=\"52664320\", alpha=\"0.01\", expect_size=\"21065728\"] \n  10 -> 11 [size =\"21065728\"]\n  11 [size=\"27612160\", alpha=\"0.13\", expect_size=\"11044864\"] \n  11 -> 12 [size =\"11044864\"]\n  12 [size=\"34844160\", alpha=\"0.11\", expect_size=\"13937664\"] \n  12 -> 13 [size =\"13937664\"]\n  13 [size=\"118305280\", alpha=\"0.13\", expect_size=\"47322112\"] \n  13 -> 14 [size =\"47322112\"]\n  14 [size=\"101381120\", alpha=\"0.01\", expect_size=\"40552448\"] \n  14 -> 15 [size =\"40552448\"]\n  15 [size=\"48409600\", alpha=\"0.04\", expect_size=\"19363840\"] \n  15 -> 16 [size =\"19363840\"]\n  16 [size=\"111790080\", alpha=\"0.11\", expect_size=\"44716032\"] \n  16 -> 17 [size =\"44716032\"]\n  17 [size=\"78540800\", alpha=\"0.05\", expect_size=\"31416320\"] \n  17 -> 18 [size =\"31416320\"]\n  18 [size=\"102300160\", alpha=\"0.06\", expect_size=\"40920064\"] \n  18 -> 19 [size =\"40920064\"]\n  19 [size=\"78986240\", alpha=\"0.14\", expect_size=\"31594496\"] \n  19 -> 20 [size =\"31594496\"]\n  20 [size=\"14494720\", alpha=\"0.15\", expect_size=\"5797888\"] \n  20 -> 21 [size =\"5797888\"]\n  21 [size=\"19097600\", alpha=\"0.08\", expect_size=\"7639040\"] \n  21 -> 22 [size =\"7639040\"]\n  22 [size=\"97633280\", alpha=\"0.14\", expect_size=\"39053312\"] \n  22 -> 23 [size =\"39053312\"]\n  23 [size=\"45317120\", alpha=\"0.03\", expect_size=\"18126848\"] \n  23 -> 24 [size =\"18126848\"]\n  24 [size=\"122613760\", alpha=\"0.19\", expect_size=\"49045504\"] \n  24 -> 25 [size =\"49045504\"]\n  25 [size=\"126899200\", alpha=\"0.18\", expect_size=\"50759680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19142656\", alpha=\"0.05\", expect_size=\"9571328\"] \n  1 -> 3 [size =\"9571328\"]\n  2 [size=\"104695808\", alpha=\"0.19\", expect_size=\"52347904\"] \n  2 -> 4 [size =\"52347904\"]\n  3 [size=\"53825536\", alpha=\"0.03\", expect_size=\"26912768\"] \n  4 [size=\"69115904\", alpha=\"0.05\", expect_size=\"34557952\"] \n  4 -> 5 [size =\"34557952\"]\n  4 -> 6 [size =\"34557952\"]\n  4 -> 7 [size =\"34557952\"]\n  5 [size=\"37509120\", alpha=\"0.10\", expect_size=\"18754560\"] \n  5 -> 10 [size =\"18754560\"]\n  5 -> 11 [size =\"18754560\"]\n  6 [size=\"40435712\", alpha=\"0.00\", expect_size=\"20217856\"] \n  6 -> 9 [size =\"20217856\"]\n  6 -> 10 [size =\"20217856\"]\n  7 [size=\"13715456\", alpha=\"0.18\", expect_size=\"6857728\"] \n  7 -> 8 [size =\"6857728\"]\n  7 -> 9 [size =\"6857728\"]\n  7 -> 12 [size =\"6857728\"]\n  8 [size=\"10934272\", alpha=\"0.20\", expect_size=\"5467136\"] \n  9 [size=\"13967360\", alpha=\"0.18\", expect_size=\"6983680\"] \n  9 -> 14 [size =\"6983680\"]\n  10 [size=\"27947008\", alpha=\"0.18\", expect_size=\"13973504\"] \n  10 -> 14 [size =\"13973504\"]\n  11 [size=\"61202432\", alpha=\"0.07\", expect_size=\"30601216\"] \n  11 -> 13 [size =\"30601216\"]\n  12 [size=\"83550208\", alpha=\"0.02\", expect_size=\"41775104\"] \n  12 -> 13 [size =\"41775104\"]\n  13 [size=\"79353856\", alpha=\"0.13\", expect_size=\"39676928\"] \n  13 -> 15 [size =\"39676928\"]\n  13 -> 18 [size =\"39676928\"]\n  14 [size=\"92432384\", alpha=\"0.18\", expect_size=\"46216192\"] \n  14 -> 16 [size =\"46216192\"]\n  14 -> 17 [size =\"46216192\"]\n  15 [size=\"22005760\", alpha=\"0.08\", expect_size=\"11002880\"] \n  15 -> 19 [size =\"11002880\"]\n  15 -> 20 [size =\"11002880\"]\n  15 -> 22 [size =\"11002880\"]\n  16 [size=\"70651904\", alpha=\"0.13\", expect_size=\"35325952\"] \n  16 -> 22 [size =\"35325952\"]\n  16 -> 23 [size =\"35325952\"]\n  17 [size=\"71034880\", alpha=\"0.02\", expect_size=\"35517440\"] \n  17 -> 21 [size =\"35517440\"]\n  17 -> 23 [size =\"35517440\"]\n  18 [size=\"60618752\", alpha=\"0.20\", expect_size=\"30309376\"] \n  18 -> 19 [size =\"30309376\"]\n  18 -> 20 [size =\"30309376\"]\n  19 [size=\"59328512\", alpha=\"0.03\", expect_size=\"29664256\"] \n  19 -> 24 [size =\"29664256\"]\n  19 -> 25 [size =\"29664256\"]\n  20 [size=\"49686528\", alpha=\"0.19\", expect_size=\"24843264\"] \n  20 -> 25 [size =\"24843264\"]\n  21 [size=\"38809600\", alpha=\"0.17\", expect_size=\"19404800\"] \n  21 -> 25 [size =\"19404800\"]\n  22 [size=\"73089024\", alpha=\"0.15\", expect_size=\"36544512\"] \n  23 [size=\"82554880\", alpha=\"0.02\", expect_size=\"41277440\"] \n  23 -> 24 [size =\"41277440\"]\n  24 [size=\"48297984\", alpha=\"0.01\", expect_size=\"24148992\"] \n  25 [size=\"40597504\", alpha=\"0.06\", expect_size=\"20298752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36485120\", alpha=\"0.15\", expect_size=\"14594048\"] \n  1 -> 5 [size =\"14594048\"]\n  1 -> 7 [size =\"14594048\"]\n  2 [size=\"50437120\", alpha=\"0.11\", expect_size=\"20174848\"] \n  2 -> 4 [size =\"20174848\"]\n  3 [size=\"64483840\", alpha=\"0.10\", expect_size=\"25793536\"] \n  3 -> 4 [size =\"25793536\"]\n  3 -> 6 [size =\"25793536\"]\n  4 [size=\"88765440\", alpha=\"0.01\", expect_size=\"35506176\"] \n  4 -> 8 [size =\"35506176\"]\n  4 -> 10 [size =\"35506176\"]\n  5 [size=\"62755840\", alpha=\"0.08\", expect_size=\"25102336\"] \n  5 -> 8 [size =\"25102336\"]\n  6 [size=\"18695680\", alpha=\"0.09\", expect_size=\"7478272\"] \n  7 [size=\"123901440\", alpha=\"0.01\", expect_size=\"49560576\"] \n  7 -> 9 [size =\"49560576\"]\n  7 -> 10 [size =\"49560576\"]\n  8 [size=\"85688320\", alpha=\"0.08\", expect_size=\"34275328\"] \n  8 -> 12 [size =\"34275328\"]\n  9 [size=\"68623360\", alpha=\"0.09\", expect_size=\"27449344\"] \n  10 [size=\"129126400\", alpha=\"0.13\", expect_size=\"51650560\"] \n  10 -> 11 [size =\"51650560\"]\n  11 [size=\"62924800\", alpha=\"0.16\", expect_size=\"25169920\"] \n  11 -> 13 [size =\"25169920\"]\n  11 -> 16 [size =\"25169920\"]\n  12 [size=\"33640960\", alpha=\"0.17\", expect_size=\"13456384\"] \n  12 -> 14 [size =\"13456384\"]\n  12 -> 15 [size =\"13456384\"]\n  13 [size=\"99084800\", alpha=\"0.16\", expect_size=\"39633920\"] \n  13 -> 18 [size =\"39633920\"]\n  13 -> 19 [size =\"39633920\"]\n  14 [size=\"39769600\", alpha=\"0.09\", expect_size=\"15907840\"] \n  14 -> 19 [size =\"15907840\"]\n  15 [size=\"48320000\", alpha=\"0.11\", expect_size=\"19328000\"] \n  15 -> 17 [size =\"19328000\"]\n  15 -> 20 [size =\"19328000\"]\n  16 [size=\"97379840\", alpha=\"0.15\", expect_size=\"38951936\"] \n  16 -> 18 [size =\"38951936\"]\n  16 -> 20 [size =\"38951936\"]\n  17 [size=\"33341440\", alpha=\"0.01\", expect_size=\"13336576\"] \n  17 -> 21 [size =\"13336576\"]\n  18 [size=\"41461760\", alpha=\"0.04\", expect_size=\"16584704\"] \n  18 -> 23 [size =\"16584704\"]\n  19 [size=\"86512640\", alpha=\"0.14\", expect_size=\"34605056\"] \n  20 [size=\"19635200\", alpha=\"0.15\", expect_size=\"7854080\"] \n  20 -> 22 [size =\"7854080\"]\n  21 [size=\"95296000\", alpha=\"0.00\", expect_size=\"38118400\"] \n  21 -> 24 [size =\"38118400\"]\n  22 [size=\"70320640\", alpha=\"0.12\", expect_size=\"28128256\"] \n  22 -> 25 [size =\"28128256\"]\n  23 [size=\"49881600\", alpha=\"0.12\", expect_size=\"19952640\"] \n  24 [size=\"24040960\", alpha=\"0.05\", expect_size=\"9616384\"] \n  25 [size=\"76707840\", alpha=\"0.07\", expect_size=\"30683136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22135467\", alpha=\"0.16\", expect_size=\"6640640\"] \n  1 -> 8 [size =\"6640640\"]\n  2 [size=\"138830507\", alpha=\"0.17\", expect_size=\"41649152\"] \n  2 -> 6 [size =\"41649152\"]\n  3 [size=\"121166507\", alpha=\"0.07\", expect_size=\"36349952\"] \n  3 -> 5 [size =\"36349952\"]\n  4 [size=\"74325333\", alpha=\"0.11\", expect_size=\"22297600\"] \n  4 -> 5 [size =\"22297600\"]\n  4 -> 6 [size =\"22297600\"]\n  4 -> 7 [size =\"22297600\"]\n  4 -> 8 [size =\"22297600\"]\n  5 [size=\"158614187\", alpha=\"0.04\", expect_size=\"47584256\"] \n  5 -> 10 [size =\"47584256\"]\n  6 [size=\"68256427\", alpha=\"0.13\", expect_size=\"20476928\"] \n  6 -> 11 [size =\"20476928\"]\n  7 [size=\"83114667\", alpha=\"0.04\", expect_size=\"24934400\"] \n  7 -> 9 [size =\"24934400\"]\n  7 -> 10 [size =\"24934400\"]\n  8 [size=\"57695573\", alpha=\"0.08\", expect_size=\"17308672\"] \n  9 [size=\"141073067\", alpha=\"0.17\", expect_size=\"42321920\"] \n  9 -> 12 [size =\"42321920\"]\n  9 -> 13 [size =\"42321920\"]\n  10 [size=\"92596907\", alpha=\"0.17\", expect_size=\"27779072\"] \n  10 -> 15 [size =\"27779072\"]\n  11 [size=\"160361813\", alpha=\"0.13\", expect_size=\"48108544\"] \n  11 -> 14 [size =\"48108544\"]\n  12 [size=\"131570347\", alpha=\"0.16\", expect_size=\"39471104\"] \n  12 -> 17 [size =\"39471104\"]\n  12 -> 18 [size =\"39471104\"]\n  12 -> 19 [size =\"39471104\"]\n  12 -> 20 [size =\"39471104\"]\n  13 [size=\"106724693\", alpha=\"0.04\", expect_size=\"32017408\"] \n  13 -> 16 [size =\"32017408\"]\n  14 [size=\"165659307\", alpha=\"0.18\", expect_size=\"49697792\"] \n  15 [size=\"95457280\", alpha=\"0.19\", expect_size=\"28637184\"] \n  15 -> 17 [size =\"28637184\"]\n  15 -> 18 [size =\"28637184\"]\n  15 -> 19 [size =\"28637184\"]\n  16 [size=\"129051307\", alpha=\"0.15\", expect_size=\"38715392\"] \n  16 -> 21 [size =\"38715392\"]\n  16 -> 22 [size =\"38715392\"]\n  17 [size=\"73714347\", alpha=\"0.12\", expect_size=\"22114304\"] \n  18 [size=\"107281067\", alpha=\"0.07\", expect_size=\"32184320\"] \n  18 -> 21 [size =\"32184320\"]\n  18 -> 22 [size =\"32184320\"]\n  19 [size=\"166727680\", alpha=\"0.16\", expect_size=\"50018304\"] \n  19 -> 21 [size =\"50018304\"]\n  20 [size=\"141069653\", alpha=\"0.02\", expect_size=\"42320896\"] \n  20 -> 22 [size =\"42320896\"]\n  21 [size=\"117340160\", alpha=\"0.09\", expect_size=\"35202048\"] \n  22 [size=\"63846400\", alpha=\"0.11\", expect_size=\"19153920\"] \n  22 -> 23 [size =\"19153920\"]\n  22 -> 24 [size =\"19153920\"]\n  22 -> 25 [size =\"19153920\"]\n  23 [size=\"32723627\", alpha=\"0.07\", expect_size=\"9817088\"] \n  24 [size=\"67829760\", alpha=\"0.09\", expect_size=\"20348928\"] \n  25 [size=\"51449173\", alpha=\"0.10\", expect_size=\"15434752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53364053\", alpha=\"0.05\", expect_size=\"16009216\"] \n  1 -> 3 [size =\"16009216\"]\n  2 [size=\"56101547\", alpha=\"0.15\", expect_size=\"16830464\"] \n  2 -> 4 [size =\"16830464\"]\n  3 [size=\"29044053\", alpha=\"0.18\", expect_size=\"8713216\"] \n  4 [size=\"147630080\", alpha=\"0.20\", expect_size=\"44289024\"] \n  4 -> 5 [size =\"44289024\"]\n  5 [size=\"84896427\", alpha=\"0.15\", expect_size=\"25468928\"] \n  5 -> 6 [size =\"25468928\"]\n  6 [size=\"166355627\", alpha=\"0.02\", expect_size=\"49906688\"] \n  6 -> 7 [size =\"49906688\"]\n  7 [size=\"50128213\", alpha=\"0.05\", expect_size=\"15038464\"] \n  7 -> 8 [size =\"15038464\"]\n  7 -> 9 [size =\"15038464\"]\n  8 [size=\"149691733\", alpha=\"0.05\", expect_size=\"44907520\"] \n  8 -> 10 [size =\"44907520\"]\n  9 [size=\"119207253\", alpha=\"0.18\", expect_size=\"35762176\"] \n  10 [size=\"84814507\", alpha=\"0.05\", expect_size=\"25444352\"] \n  10 -> 11 [size =\"25444352\"]\n  10 -> 12 [size =\"25444352\"]\n  11 [size=\"44957013\", alpha=\"0.04\", expect_size=\"13487104\"] \n  12 [size=\"83810987\", alpha=\"0.11\", expect_size=\"25143296\"] \n  12 -> 13 [size =\"25143296\"]\n  13 [size=\"45963947\", alpha=\"0.04\", expect_size=\"13789184\"] \n  13 -> 14 [size =\"13789184\"]\n  14 [size=\"32221867\", alpha=\"0.17\", expect_size=\"9666560\"] \n  14 -> 15 [size =\"9666560\"]\n  14 -> 16 [size =\"9666560\"]\n  15 [size=\"29781333\", alpha=\"0.10\", expect_size=\"8934400\"] \n  16 [size=\"146117973\", alpha=\"0.05\", expect_size=\"43835392\"] \n  16 -> 17 [size =\"43835392\"]\n  17 [size=\"158969173\", alpha=\"0.19\", expect_size=\"47690752\"] \n  17 -> 18 [size =\"47690752\"]\n  17 -> 19 [size =\"47690752\"]\n  18 [size=\"40488960\", alpha=\"0.02\", expect_size=\"12146688\"] \n  18 -> 20 [size =\"12146688\"]\n  18 -> 21 [size =\"12146688\"]\n  19 [size=\"79441920\", alpha=\"0.15\", expect_size=\"23832576\"] \n  20 [size=\"65283413\", alpha=\"0.16\", expect_size=\"19585024\"] \n  21 [size=\"100727467\", alpha=\"0.01\", expect_size=\"30218240\"] \n  21 -> 22 [size =\"30218240\"]\n  22 [size=\"130833067\", alpha=\"0.12\", expect_size=\"39249920\"] \n  22 -> 23 [size =\"39249920\"]\n  23 [size=\"59238400\", alpha=\"0.04\", expect_size=\"17771520\"] \n  23 -> 24 [size =\"17771520\"]\n  23 -> 25 [size =\"17771520\"]\n  24 [size=\"89149440\", alpha=\"0.13\", expect_size=\"26744832\"] \n  25 [size=\"64047787\", alpha=\"0.10\", expect_size=\"19214336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91555840\", alpha=\"0.10\", expect_size=\"45777920\"] \n  1 -> 2 [size =\"45777920\"]\n  2 [size=\"25106432\", alpha=\"0.17\", expect_size=\"12553216\"] \n  2 -> 3 [size =\"12553216\"]\n  3 [size=\"69359616\", alpha=\"0.11\", expect_size=\"34679808\"] \n  3 -> 4 [size =\"34679808\"]\n  4 [size=\"67336192\", alpha=\"0.09\", expect_size=\"33668096\"] \n  4 -> 5 [size =\"33668096\"]\n  5 [size=\"56246272\", alpha=\"0.20\", expect_size=\"28123136\"] \n  5 -> 6 [size =\"28123136\"]\n  6 [size=\"24600576\", alpha=\"0.06\", expect_size=\"12300288\"] \n  6 -> 7 [size =\"12300288\"]\n  7 [size=\"20641792\", alpha=\"0.04\", expect_size=\"10320896\"] \n  7 -> 8 [size =\"10320896\"]\n  8 [size=\"41990144\", alpha=\"0.09\", expect_size=\"20995072\"] \n  8 -> 9 [size =\"20995072\"]\n  9 [size=\"27103232\", alpha=\"0.06\", expect_size=\"13551616\"] \n  9 -> 10 [size =\"13551616\"]\n  10 [size=\"22333440\", alpha=\"0.12\", expect_size=\"11166720\"] \n  10 -> 11 [size =\"11166720\"]\n  11 [size=\"77959168\", alpha=\"0.17\", expect_size=\"38979584\"] \n  11 -> 12 [size =\"38979584\"]\n  12 [size=\"32927744\", alpha=\"0.18\", expect_size=\"16463872\"] \n  12 -> 13 [size =\"16463872\"]\n  13 [size=\"21129216\", alpha=\"0.15\", expect_size=\"10564608\"] \n  13 -> 14 [size =\"10564608\"]\n  14 [size=\"73119744\", alpha=\"0.15\", expect_size=\"36559872\"] \n  14 -> 15 [size =\"36559872\"]\n  15 [size=\"21610496\", alpha=\"0.20\", expect_size=\"10805248\"] \n  15 -> 16 [size =\"10805248\"]\n  16 [size=\"21254144\", alpha=\"0.01\", expect_size=\"10627072\"] \n  16 -> 17 [size =\"10627072\"]\n  17 [size=\"49303552\", alpha=\"0.09\", expect_size=\"24651776\"] \n  17 -> 18 [size =\"24651776\"]\n  18 [size=\"67997696\", alpha=\"0.19\", expect_size=\"33998848\"] \n  18 -> 19 [size =\"33998848\"]\n  19 [size=\"15513600\", alpha=\"0.01\", expect_size=\"7756800\"] \n  19 -> 20 [size =\"7756800\"]\n  20 [size=\"45840384\", alpha=\"0.06\", expect_size=\"22920192\"] \n  20 -> 21 [size =\"22920192\"]\n  21 [size=\"104554496\", alpha=\"0.08\", expect_size=\"52277248\"] \n  21 -> 22 [size =\"52277248\"]\n  22 [size=\"90556416\", alpha=\"0.13\", expect_size=\"45278208\"] \n  22 -> 23 [size =\"45278208\"]\n  23 [size=\"79947776\", alpha=\"0.10\", expect_size=\"39973888\"] \n  23 -> 24 [size =\"39973888\"]\n  24 [size=\"57690112\", alpha=\"0.20\", expect_size=\"28845056\"] \n  24 -> 25 [size =\"28845056\"]\n  25 [size=\"35596288\", alpha=\"0.19\", expect_size=\"17798144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156842667\", alpha=\"0.01\", expect_size=\"47052800\"] \n  1 -> 2 [size =\"47052800\"]\n  1 -> 3 [size =\"47052800\"]\n  2 [size=\"27098453\", alpha=\"0.01\", expect_size=\"8129536\"] \n  3 [size=\"67665920\", alpha=\"0.08\", expect_size=\"20299776\"] \n  3 -> 4 [size =\"20299776\"]\n  4 [size=\"71297707\", alpha=\"0.12\", expect_size=\"21389312\"] \n  4 -> 5 [size =\"21389312\"]\n  5 [size=\"100645547\", alpha=\"0.18\", expect_size=\"30193664\"] \n  5 -> 6 [size =\"30193664\"]\n  5 -> 7 [size =\"30193664\"]\n  6 [size=\"119507627\", alpha=\"0.05\", expect_size=\"35852288\"] \n  6 -> 8 [size =\"35852288\"]\n  7 [size=\"136161280\", alpha=\"0.08\", expect_size=\"40848384\"] \n  7 -> 8 [size =\"40848384\"]\n  8 [size=\"110312107\", alpha=\"0.10\", expect_size=\"33093632\"] \n  8 -> 9 [size =\"33093632\"]\n  9 [size=\"151613440\", alpha=\"0.18\", expect_size=\"45484032\"] \n  9 -> 10 [size =\"45484032\"]\n  10 [size=\"96204800\", alpha=\"0.03\", expect_size=\"28861440\"] \n  10 -> 11 [size =\"28861440\"]\n  11 [size=\"132584107\", alpha=\"0.04\", expect_size=\"39775232\"] \n  11 -> 12 [size =\"39775232\"]\n  11 -> 13 [size =\"39775232\"]\n  12 [size=\"142165333\", alpha=\"0.05\", expect_size=\"42649600\"] \n  12 -> 14 [size =\"42649600\"]\n  12 -> 15 [size =\"42649600\"]\n  13 [size=\"150333440\", alpha=\"0.08\", expect_size=\"45100032\"] \n  13 -> 14 [size =\"45100032\"]\n  14 [size=\"58705920\", alpha=\"0.01\", expect_size=\"17611776\"] \n  14 -> 16 [size =\"17611776\"]\n  15 [size=\"154777600\", alpha=\"0.07\", expect_size=\"46433280\"] \n  15 -> 16 [size =\"46433280\"]\n  16 [size=\"137803093\", alpha=\"0.14\", expect_size=\"41340928\"] \n  16 -> 17 [size =\"41340928\"]\n  17 [size=\"17780053\", alpha=\"0.06\", expect_size=\"5334016\"] \n  17 -> 18 [size =\"5334016\"]\n  18 [size=\"79073280\", alpha=\"0.16\", expect_size=\"23721984\"] \n  18 -> 19 [size =\"23721984\"]\n  19 [size=\"159914667\", alpha=\"0.15\", expect_size=\"47974400\"] \n  19 -> 20 [size =\"47974400\"]\n  19 -> 21 [size =\"47974400\"]\n  20 [size=\"143769600\", alpha=\"0.13\", expect_size=\"43130880\"] \n  20 -> 23 [size =\"43130880\"]\n  21 [size=\"170605227\", alpha=\"0.09\", expect_size=\"51181568\"] \n  21 -> 22 [size =\"51181568\"]\n  22 [size=\"43427840\", alpha=\"0.06\", expect_size=\"13028352\"] \n  23 [size=\"80022187\", alpha=\"0.10\", expect_size=\"24006656\"] \n  23 -> 24 [size =\"24006656\"]\n  24 [size=\"139707733\", alpha=\"0.00\", expect_size=\"41912320\"] \n  24 -> 25 [size =\"41912320\"]\n  25 [size=\"146039467\", alpha=\"0.01\", expect_size=\"43811840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95272960\", alpha=\"0.00\", expect_size=\"47636480\"] \n  1 -> 6 [size =\"47636480\"]\n  1 -> 7 [size =\"47636480\"]\n  2 [size=\"44218368\", alpha=\"0.11\", expect_size=\"22109184\"] \n  2 -> 5 [size =\"22109184\"]\n  2 -> 6 [size =\"22109184\"]\n  2 -> 7 [size =\"22109184\"]\n  3 [size=\"65730560\", alpha=\"0.01\", expect_size=\"32865280\"] \n  3 -> 5 [size =\"32865280\"]\n  3 -> 6 [size =\"32865280\"]\n  3 -> 7 [size =\"32865280\"]\n  4 [size=\"41482240\", alpha=\"0.02\", expect_size=\"20741120\"] \n  4 -> 5 [size =\"20741120\"]\n  4 -> 6 [size =\"20741120\"]\n  4 -> 7 [size =\"20741120\"]\n  5 [size=\"30189568\", alpha=\"0.03\", expect_size=\"15094784\"] \n  5 -> 8 [size =\"15094784\"]\n  5 -> 9 [size =\"15094784\"]\n  5 -> 11 [size =\"15094784\"]\n  6 [size=\"54382592\", alpha=\"0.00\", expect_size=\"27191296\"] \n  6 -> 8 [size =\"27191296\"]\n  6 -> 9 [size =\"27191296\"]\n  6 -> 10 [size =\"27191296\"]\n  6 -> 11 [size =\"27191296\"]\n  7 [size=\"36446208\", alpha=\"0.16\", expect_size=\"18223104\"] \n  7 -> 8 [size =\"18223104\"]\n  7 -> 9 [size =\"18223104\"]\n  8 [size=\"59877376\", alpha=\"0.17\", expect_size=\"29938688\"] \n  8 -> 12 [size =\"29938688\"]\n  8 -> 15 [size =\"29938688\"]\n  9 [size=\"50601984\", alpha=\"0.14\", expect_size=\"25300992\"] \n  9 -> 12 [size =\"25300992\"]\n  9 -> 15 [size =\"25300992\"]\n  10 [size=\"27774976\", alpha=\"0.00\", expect_size=\"13887488\"] \n  10 -> 13 [size =\"13887488\"]\n  10 -> 14 [size =\"13887488\"]\n  10 -> 15 [size =\"13887488\"]\n  11 [size=\"58488832\", alpha=\"0.05\", expect_size=\"29244416\"] \n  11 -> 14 [size =\"29244416\"]\n  11 -> 15 [size =\"29244416\"]\n  12 [size=\"58679296\", alpha=\"0.14\", expect_size=\"29339648\"] \n  12 -> 16 [size =\"29339648\"]\n  12 -> 17 [size =\"29339648\"]\n  12 -> 18 [size =\"29339648\"]\n  12 -> 19 [size =\"29339648\"]\n  13 [size=\"17315840\", alpha=\"0.12\", expect_size=\"8657920\"] \n  13 -> 17 [size =\"8657920\"]\n  13 -> 18 [size =\"8657920\"]\n  13 -> 19 [size =\"8657920\"]\n  14 [size=\"23248896\", alpha=\"0.08\", expect_size=\"11624448\"] \n  14 -> 16 [size =\"11624448\"]\n  14 -> 17 [size =\"11624448\"]\n  14 -> 18 [size =\"11624448\"]\n  14 -> 19 [size =\"11624448\"]\n  15 [size=\"33916928\", alpha=\"0.01\", expect_size=\"16958464\"] \n  15 -> 16 [size =\"16958464\"]\n  15 -> 17 [size =\"16958464\"]\n  15 -> 18 [size =\"16958464\"]\n  15 -> 19 [size =\"16958464\"]\n  16 [size=\"49401856\", alpha=\"0.17\", expect_size=\"24700928\"] \n  16 -> 20 [size =\"24700928\"]\n  16 -> 21 [size =\"24700928\"]\n  17 [size=\"49891328\", alpha=\"0.18\", expect_size=\"24945664\"] \n  17 -> 20 [size =\"24945664\"]\n  18 [size=\"31191040\", alpha=\"0.04\", expect_size=\"15595520\"] \n  18 -> 20 [size =\"15595520\"]\n  18 -> 21 [size =\"15595520\"]\n  18 -> 22 [size =\"15595520\"]\n  19 [size=\"15677440\", alpha=\"0.20\", expect_size=\"7838720\"] \n  19 -> 20 [size =\"7838720\"]\n  19 -> 21 [size =\"7838720\"]\n  20 [size=\"83771392\", alpha=\"0.13\", expect_size=\"41885696\"] \n  20 -> 23 [size =\"41885696\"]\n  21 [size=\"84475904\", alpha=\"0.03\", expect_size=\"42237952\"] \n  21 -> 24 [size =\"42237952\"]\n  21 -> 25 [size =\"42237952\"]\n  22 [size=\"15661056\", alpha=\"0.01\", expect_size=\"7830528\"] \n  22 -> 23 [size =\"7830528\"]\n  23 [size=\"83484672\", alpha=\"0.11\", expect_size=\"41742336\"] \n  24 [size=\"44353536\", alpha=\"0.07\", expect_size=\"22176768\"] \n  25 [size=\"80926720\", alpha=\"0.08\", expect_size=\"40463360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56737280\", alpha=\"0.07\", expect_size=\"22694912\"] \n  1 -> 4 [size =\"22694912\"]\n  1 -> 5 [size =\"22694912\"]\n  1 -> 6 [size =\"22694912\"]\n  1 -> 7 [size =\"22694912\"]\n  2 [size=\"103470080\", alpha=\"0.04\", expect_size=\"41388032\"] \n  2 -> 3 [size =\"41388032\"]\n  2 -> 4 [size =\"41388032\"]\n  2 -> 5 [size =\"41388032\"]\n  3 [size=\"53537280\", alpha=\"0.04\", expect_size=\"21414912\"] \n  3 -> 9 [size =\"21414912\"]\n  3 -> 10 [size =\"21414912\"]\n  4 [size=\"51072000\", alpha=\"0.10\", expect_size=\"20428800\"] \n  4 -> 10 [size =\"20428800\"]\n  4 -> 11 [size =\"20428800\"]\n  4 -> 12 [size =\"20428800\"]\n  5 [size=\"107471360\", alpha=\"0.07\", expect_size=\"42988544\"] \n  5 -> 11 [size =\"42988544\"]\n  5 -> 12 [size =\"42988544\"]\n  6 [size=\"73643520\", alpha=\"0.04\", expect_size=\"29457408\"] \n  6 -> 9 [size =\"29457408\"]\n  7 [size=\"127600640\", alpha=\"0.14\", expect_size=\"51040256\"] \n  7 -> 8 [size =\"51040256\"]\n  7 -> 10 [size =\"51040256\"]\n  7 -> 11 [size =\"51040256\"]\n  8 [size=\"60001280\", alpha=\"0.16\", expect_size=\"24000512\"] \n  8 -> 15 [size =\"24000512\"]\n  9 [size=\"38118400\", alpha=\"0.04\", expect_size=\"15247360\"] \n  9 -> 14 [size =\"15247360\"]\n  9 -> 15 [size =\"15247360\"]\n  10 [size=\"64522240\", alpha=\"0.15\", expect_size=\"25808896\"] \n  10 -> 14 [size =\"25808896\"]\n  11 [size=\"121387520\", alpha=\"0.08\", expect_size=\"48555008\"] \n  11 -> 14 [size =\"48555008\"]\n  12 [size=\"46937600\", alpha=\"0.15\", expect_size=\"18775040\"] \n  12 -> 13 [size =\"18775040\"]\n  12 -> 15 [size =\"18775040\"]\n  13 [size=\"68193280\", alpha=\"0.05\", expect_size=\"27277312\"] \n  13 -> 16 [size =\"27277312\"]\n  14 [size=\"89607680\", alpha=\"0.15\", expect_size=\"35843072\"] \n  14 -> 16 [size =\"35843072\"]\n  15 [size=\"33082880\", alpha=\"0.00\", expect_size=\"13233152\"] \n  15 -> 17 [size =\"13233152\"]\n  16 [size=\"75246080\", alpha=\"0.09\", expect_size=\"30098432\"] \n  16 -> 19 [size =\"30098432\"]\n  17 [size=\"101012480\", alpha=\"0.03\", expect_size=\"40404992\"] \n  17 -> 18 [size =\"40404992\"]\n  18 [size=\"64560640\", alpha=\"0.04\", expect_size=\"25824256\"] \n  18 -> 20 [size =\"25824256\"]\n  18 -> 21 [size =\"25824256\"]\n  19 [size=\"41792000\", alpha=\"0.05\", expect_size=\"16716800\"] \n  19 -> 21 [size =\"16716800\"]\n  19 -> 22 [size =\"16716800\"]\n  19 -> 23 [size =\"16716800\"]\n  20 [size=\"65684480\", alpha=\"0.10\", expect_size=\"26273792\"] \n  20 -> 25 [size =\"26273792\"]\n  21 [size=\"35824640\", alpha=\"0.03\", expect_size=\"14329856\"] \n  21 -> 24 [size =\"14329856\"]\n  21 -> 25 [size =\"14329856\"]\n  22 [size=\"84741120\", alpha=\"0.11\", expect_size=\"33896448\"] \n  22 -> 24 [size =\"33896448\"]\n  23 [size=\"58181120\", alpha=\"0.06\", expect_size=\"23272448\"] \n  23 -> 24 [size =\"23272448\"]\n  24 [size=\"87938560\", alpha=\"0.08\", expect_size=\"35175424\"] \n  25 [size=\"58007040\", alpha=\"0.05\", expect_size=\"23202816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66453504\", alpha=\"0.02\", expect_size=\"33226752\"] \n  1 -> 24 [size =\"33226752\"]\n  2 [size=\"73236480\", alpha=\"0.11\", expect_size=\"36618240\"] \n  2 -> 24 [size =\"36618240\"]\n  3 [size=\"55785472\", alpha=\"0.08\", expect_size=\"27892736\"] \n  3 -> 24 [size =\"27892736\"]\n  3 -> 25 [size =\"27892736\"]\n  4 [size=\"66064384\", alpha=\"0.16\", expect_size=\"33032192\"] \n  4 -> 24 [size =\"33032192\"]\n  5 [size=\"88344576\", alpha=\"0.11\", expect_size=\"44172288\"] \n  5 -> 24 [size =\"44172288\"]\n  5 -> 25 [size =\"44172288\"]\n  6 [size=\"90644480\", alpha=\"0.07\", expect_size=\"45322240\"] \n  6 -> 24 [size =\"45322240\"]\n  6 -> 25 [size =\"45322240\"]\n  7 [size=\"99540992\", alpha=\"0.05\", expect_size=\"49770496\"] \n  7 -> 24 [size =\"49770496\"]\n  8 [size=\"34494464\", alpha=\"0.14\", expect_size=\"17247232\"] \n  8 -> 24 [size =\"17247232\"]\n  9 [size=\"47206400\", alpha=\"0.08\", expect_size=\"23603200\"] \n  9 -> 24 [size =\"23603200\"]\n  9 -> 25 [size =\"23603200\"]\n  10 [size=\"59957248\", alpha=\"0.04\", expect_size=\"29978624\"] \n  10 -> 25 [size =\"29978624\"]\n  11 [size=\"73230336\", alpha=\"0.05\", expect_size=\"36615168\"] \n  11 -> 24 [size =\"36615168\"]\n  12 [size=\"81899520\", alpha=\"0.00\", expect_size=\"40949760\"] \n  12 -> 25 [size =\"40949760\"]\n  13 [size=\"41519104\", alpha=\"0.17\", expect_size=\"20759552\"] \n  14 [size=\"78110720\", alpha=\"0.10\", expect_size=\"39055360\"] \n  14 -> 24 [size =\"39055360\"]\n  15 [size=\"57694208\", alpha=\"0.08\", expect_size=\"28847104\"] \n  15 -> 24 [size =\"28847104\"]\n  16 [size=\"14716928\", alpha=\"0.16\", expect_size=\"7358464\"] \n  16 -> 24 [size =\"7358464\"]\n  17 [size=\"47206400\", alpha=\"0.13\", expect_size=\"23603200\"] \n  17 -> 24 [size =\"23603200\"]\n  18 [size=\"71991296\", alpha=\"0.11\", expect_size=\"35995648\"] \n  18 -> 24 [size =\"35995648\"]\n  19 [size=\"41453568\", alpha=\"0.13\", expect_size=\"20726784\"] \n  19 -> 24 [size =\"20726784\"]\n  20 [size=\"76853248\", alpha=\"0.08\", expect_size=\"38426624\"] \n  20 -> 25 [size =\"38426624\"]\n  21 [size=\"96421888\", alpha=\"0.16\", expect_size=\"48210944\"] \n  21 -> 24 [size =\"48210944\"]\n  22 [size=\"24930304\", alpha=\"0.17\", expect_size=\"12465152\"] \n  22 -> 24 [size =\"12465152\"]\n  23 [size=\"25686016\", alpha=\"0.07\", expect_size=\"12843008\"] \n  23 -> 24 [size =\"12843008\"]\n  23 -> 25 [size =\"12843008\"]\n  24 [size=\"10971136\", alpha=\"0.10\", expect_size=\"5485568\"] \n  25 [size=\"58681344\", alpha=\"0.08\", expect_size=\"29340672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96853333\", alpha=\"0.09\", expect_size=\"29056000\"] \n  1 -> 13 [size =\"29056000\"]\n  1 -> 16 [size =\"29056000\"]\n  2 [size=\"99106133\", alpha=\"0.10\", expect_size=\"29731840\"] \n  2 -> 9 [size =\"29731840\"]\n  2 -> 13 [size =\"29731840\"]\n  2 -> 16 [size =\"29731840\"]\n  3 [size=\"102976853\", alpha=\"0.17\", expect_size=\"30893056\"] \n  4 [size=\"33389227\", alpha=\"0.16\", expect_size=\"10016768\"] \n  4 -> 10 [size =\"10016768\"]\n  4 -> 12 [size =\"10016768\"]\n  4 -> 15 [size =\"10016768\"]\n  5 [size=\"55592960\", alpha=\"0.15\", expect_size=\"16677888\"] \n  6 [size=\"121804800\", alpha=\"0.13\", expect_size=\"36541440\"] \n  6 -> 13 [size =\"36541440\"]\n  6 -> 14 [size =\"36541440\"]\n  7 [size=\"38819840\", alpha=\"0.18\", expect_size=\"11645952\"] \n  7 -> 10 [size =\"11645952\"]\n  7 -> 11 [size =\"11645952\"]\n  7 -> 14 [size =\"11645952\"]\n  7 -> 15 [size =\"11645952\"]\n  8 [size=\"77844480\", alpha=\"0.18\", expect_size=\"23353344\"] \n  8 -> 10 [size =\"23353344\"]\n  8 -> 14 [size =\"23353344\"]\n  9 [size=\"61709653\", alpha=\"0.01\", expect_size=\"18512896\"] \n  9 -> 18 [size =\"18512896\"]\n  9 -> 23 [size =\"18512896\"]\n  9 -> 24 [size =\"18512896\"]\n  10 [size=\"154767360\", alpha=\"0.09\", expect_size=\"46430208\"] \n  10 -> 17 [size =\"46430208\"]\n  10 -> 18 [size =\"46430208\"]\n  10 -> 22 [size =\"46430208\"]\n  10 -> 23 [size =\"46430208\"]\n  11 [size=\"148855467\", alpha=\"0.02\", expect_size=\"44656640\"] \n  11 -> 20 [size =\"44656640\"]\n  11 -> 21 [size =\"44656640\"]\n  11 -> 22 [size =\"44656640\"]\n  11 -> 23 [size =\"44656640\"]\n  12 [size=\"64631467\", alpha=\"0.01\", expect_size=\"19389440\"] \n  12 -> 17 [size =\"19389440\"]\n  12 -> 20 [size =\"19389440\"]\n  13 [size=\"141482667\", alpha=\"0.05\", expect_size=\"42444800\"] \n  13 -> 17 [size =\"42444800\"]\n  13 -> 18 [size =\"42444800\"]\n  13 -> 20 [size =\"42444800\"]\n  13 -> 21 [size =\"42444800\"]\n  13 -> 22 [size =\"42444800\"]\n  13 -> 23 [size =\"42444800\"]\n  13 -> 25 [size =\"42444800\"]\n  14 [size=\"119463253\", alpha=\"0.14\", expect_size=\"35838976\"] \n  14 -> 18 [size =\"35838976\"]\n  14 -> 20 [size =\"35838976\"]\n  14 -> 21 [size =\"35838976\"]\n  15 [size=\"86729387\", alpha=\"0.03\", expect_size=\"26018816\"] \n  15 -> 18 [size =\"26018816\"]\n  15 -> 19 [size =\"26018816\"]\n  15 -> 21 [size =\"26018816\"]\n  15 -> 23 [size =\"26018816\"]\n  16 [size=\"49305600\", alpha=\"0.16\", expect_size=\"14791680\"] \n  16 -> 17 [size =\"14791680\"]\n  16 -> 19 [size =\"14791680\"]\n  16 -> 25 [size =\"14791680\"]\n  17 [size=\"153958400\", alpha=\"0.01\", expect_size=\"46187520\"] \n  18 [size=\"135239680\", alpha=\"0.14\", expect_size=\"40571904\"] \n  19 [size=\"115650560\", alpha=\"0.02\", expect_size=\"34695168\"] \n  20 [size=\"123071147\", alpha=\"0.15\", expect_size=\"36921344\"] \n  21 [size=\"36375893\", alpha=\"0.19\", expect_size=\"10912768\"] \n  22 [size=\"55138987\", alpha=\"0.13\", expect_size=\"16541696\"] \n  23 [size=\"61429760\", alpha=\"0.18\", expect_size=\"18428928\"] \n  24 [size=\"99764907\", alpha=\"0.06\", expect_size=\"29929472\"] \n  25 [size=\"54756693\", alpha=\"0.18\", expect_size=\"16427008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93331456\", alpha=\"0.03\", expect_size=\"46665728\"] \n  1 -> 3 [size =\"46665728\"]\n  2 [size=\"66031616\", alpha=\"0.03\", expect_size=\"33015808\"] \n  2 -> 3 [size =\"33015808\"]\n  3 [size=\"104597504\", alpha=\"0.13\", expect_size=\"52298752\"] \n  3 -> 4 [size =\"52298752\"]\n  3 -> 5 [size =\"52298752\"]\n  4 [size=\"39714816\", alpha=\"0.01\", expect_size=\"19857408\"] \n  5 [size=\"72171520\", alpha=\"0.12\", expect_size=\"36085760\"] \n  5 -> 6 [size =\"36085760\"]\n  6 [size=\"21929984\", alpha=\"0.16\", expect_size=\"10964992\"] \n  6 -> 7 [size =\"10964992\"]\n  7 [size=\"65431552\", alpha=\"0.16\", expect_size=\"32715776\"] \n  7 -> 8 [size =\"32715776\"]\n  7 -> 9 [size =\"32715776\"]\n  8 [size=\"33667072\", alpha=\"0.16\", expect_size=\"16833536\"] \n  8 -> 10 [size =\"16833536\"]\n  9 [size=\"25006080\", alpha=\"0.05\", expect_size=\"12503040\"] \n  9 -> 11 [size =\"12503040\"]\n  10 [size=\"61718528\", alpha=\"0.11\", expect_size=\"30859264\"] \n  10 -> 12 [size =\"30859264\"]\n  11 [size=\"53221376\", alpha=\"0.16\", expect_size=\"26610688\"] \n  11 -> 13 [size =\"26610688\"]\n  12 [size=\"69304320\", alpha=\"0.16\", expect_size=\"34652160\"] \n  12 -> 14 [size =\"34652160\"]\n  13 [size=\"85454848\", alpha=\"0.13\", expect_size=\"42727424\"] \n  13 -> 14 [size =\"42727424\"]\n  14 [size=\"51314688\", alpha=\"0.13\", expect_size=\"25657344\"] \n  14 -> 15 [size =\"25657344\"]\n  15 [size=\"57325568\", alpha=\"0.13\", expect_size=\"28662784\"] \n  15 -> 16 [size =\"28662784\"]\n  15 -> 17 [size =\"28662784\"]\n  16 [size=\"20797440\", alpha=\"0.07\", expect_size=\"10398720\"] \n  16 -> 19 [size =\"10398720\"]\n  17 [size=\"95199232\", alpha=\"0.14\", expect_size=\"47599616\"] \n  17 -> 18 [size =\"47599616\"]\n  18 [size=\"74061824\", alpha=\"0.02\", expect_size=\"37030912\"] \n  18 -> 20 [size =\"37030912\"]\n  19 [size=\"53424128\", alpha=\"0.08\", expect_size=\"26712064\"] \n  19 -> 20 [size =\"26712064\"]\n  20 [size=\"76560384\", alpha=\"0.11\", expect_size=\"38280192\"] \n  20 -> 21 [size =\"38280192\"]\n  21 [size=\"34938880\", alpha=\"0.11\", expect_size=\"17469440\"] \n  21 -> 22 [size =\"17469440\"]\n  21 -> 23 [size =\"17469440\"]\n  22 [size=\"18257920\", alpha=\"0.03\", expect_size=\"9128960\"] \n  22 -> 24 [size =\"9128960\"]\n  23 [size=\"94050304\", alpha=\"0.15\", expect_size=\"47025152\"] \n  24 [size=\"63320064\", alpha=\"0.13\", expect_size=\"31660032\"] \n  24 -> 25 [size =\"31660032\"]\n  25 [size=\"28897280\", alpha=\"0.04\", expect_size=\"14448640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86304768\", alpha=\"0.07\", expect_size=\"43152384\"] \n  1 -> 25 [size =\"43152384\"]\n  2 [size=\"62195712\", alpha=\"0.15\", expect_size=\"31097856\"] \n  2 -> 21 [size =\"31097856\"]\n  2 -> 22 [size =\"31097856\"]\n  2 -> 24 [size =\"31097856\"]\n  2 -> 25 [size =\"31097856\"]\n  3 [size=\"29521920\", alpha=\"0.09\", expect_size=\"14760960\"] \n  3 -> 22 [size =\"14760960\"]\n  3 -> 24 [size =\"14760960\"]\n  4 [size=\"79970304\", alpha=\"0.20\", expect_size=\"39985152\"] \n  4 -> 25 [size =\"39985152\"]\n  5 [size=\"37971968\", alpha=\"0.05\", expect_size=\"18985984\"] \n  5 -> 25 [size =\"18985984\"]\n  6 [size=\"48836608\", alpha=\"0.10\", expect_size=\"24418304\"] \n  6 -> 22 [size =\"24418304\"]\n  6 -> 24 [size =\"24418304\"]\n  6 -> 25 [size =\"24418304\"]\n  7 [size=\"32489472\", alpha=\"0.12\", expect_size=\"16244736\"] \n  7 -> 22 [size =\"16244736\"]\n  7 -> 24 [size =\"16244736\"]\n  8 [size=\"33054720\", alpha=\"0.12\", expect_size=\"16527360\"] \n  9 [size=\"79253504\", alpha=\"0.05\", expect_size=\"39626752\"] \n  9 -> 21 [size =\"39626752\"]\n  9 -> 24 [size =\"39626752\"]\n  9 -> 25 [size =\"39626752\"]\n  10 [size=\"84140032\", alpha=\"0.00\", expect_size=\"42070016\"] \n  10 -> 22 [size =\"42070016\"]\n  10 -> 24 [size =\"42070016\"]\n  11 [size=\"17459200\", alpha=\"0.17\", expect_size=\"8729600\"] \n  11 -> 23 [size =\"8729600\"]\n  11 -> 25 [size =\"8729600\"]\n  12 [size=\"48472064\", alpha=\"0.11\", expect_size=\"24236032\"] \n  12 -> 22 [size =\"24236032\"]\n  12 -> 23 [size =\"24236032\"]\n  12 -> 24 [size =\"24236032\"]\n  12 -> 25 [size =\"24236032\"]\n  13 [size=\"25165824\", alpha=\"0.14\", expect_size=\"12582912\"] \n  13 -> 21 [size =\"12582912\"]\n  13 -> 22 [size =\"12582912\"]\n  13 -> 23 [size =\"12582912\"]\n  13 -> 24 [size =\"12582912\"]\n  13 -> 25 [size =\"12582912\"]\n  14 [size=\"65433600\", alpha=\"0.10\", expect_size=\"32716800\"] \n  14 -> 21 [size =\"32716800\"]\n  14 -> 22 [size =\"32716800\"]\n  14 -> 25 [size =\"32716800\"]\n  15 [size=\"64688128\", alpha=\"0.14\", expect_size=\"32344064\"] \n  15 -> 22 [size =\"32344064\"]\n  15 -> 22 [size =\"32344064\"]\n  15 -> 25 [size =\"32344064\"]\n  16 [size=\"90427392\", alpha=\"0.07\", expect_size=\"45213696\"] \n  16 -> 22 [size =\"45213696\"]\n  17 [size=\"42653696\", alpha=\"0.09\", expect_size=\"21326848\"] \n  17 -> 22 [size =\"21326848\"]\n  18 [size=\"97062912\", alpha=\"0.16\", expect_size=\"48531456\"] \n  18 -> 22 [size =\"48531456\"]\n  18 -> 24 [size =\"48531456\"]\n  19 [size=\"59015168\", alpha=\"0.03\", expect_size=\"29507584\"] \n  19 -> 21 [size =\"29507584\"]\n  19 -> 23 [size =\"29507584\"]\n  20 [size=\"82511872\", alpha=\"0.18\", expect_size=\"41255936\"] \n  20 -> 23 [size =\"41255936\"]\n  20 -> 25 [size =\"41255936\"]\n  21 [size=\"83955712\", alpha=\"0.09\", expect_size=\"41977856\"] \n  22 [size=\"68040704\", alpha=\"0.11\", expect_size=\"34020352\"] \n  23 [size=\"24776704\", alpha=\"0.17\", expect_size=\"12388352\"] \n  24 [size=\"92432384\", alpha=\"0.18\", expect_size=\"46216192\"] \n  25 [size=\"43755520\", alpha=\"0.04\", expect_size=\"21877760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27287040\", alpha=\"0.09\", expect_size=\"10914816\"] \n  2 [size=\"36390400\", alpha=\"0.19\", expect_size=\"14556160\"] \n  3 [size=\"112652800\", alpha=\"0.07\", expect_size=\"45061120\"] \n  4 [size=\"124759040\", alpha=\"0.11\", expect_size=\"49903616\"] \n  5 [size=\"83489280\", alpha=\"0.13\", expect_size=\"33395712\"] \n  6 [size=\"29281280\", alpha=\"0.11\", expect_size=\"11712512\"] \n  7 [size=\"50716160\", alpha=\"0.04\", expect_size=\"20286464\"] \n  8 [size=\"70177280\", alpha=\"0.06\", expect_size=\"28070912\"] \n  9 [size=\"78858240\", alpha=\"0.15\", expect_size=\"31543296\"] \n  10 [size=\"64583680\", alpha=\"0.20\", expect_size=\"25833472\"] \n  11 [size=\"62635520\", alpha=\"0.08\", expect_size=\"25054208\"] \n  12 [size=\"116528640\", alpha=\"0.08\", expect_size=\"46611456\"] \n  13 [size=\"108618240\", alpha=\"0.04\", expect_size=\"43447296\"] \n  14 [size=\"31421440\", alpha=\"0.05\", expect_size=\"12568576\"] \n  15 [size=\"98795520\", alpha=\"0.11\", expect_size=\"39518208\"] \n  16 [size=\"58091520\", alpha=\"0.10\", expect_size=\"23236608\"] \n  17 [size=\"121863680\", alpha=\"0.17\", expect_size=\"48745472\"] \n  18 [size=\"27627520\", alpha=\"0.17\", expect_size=\"11051008\"] \n  19 [size=\"62430720\", alpha=\"0.10\", expect_size=\"24972288\"] \n  20 [size=\"32875520\", alpha=\"0.18\", expect_size=\"13150208\"] \n  21 [size=\"31301120\", alpha=\"0.09\", expect_size=\"12520448\"] \n  22 [size=\"78067200\", alpha=\"0.03\", expect_size=\"31226880\"] \n  23 [size=\"123765760\", alpha=\"0.15\", expect_size=\"49506304\"] \n  24 [size=\"29588480\", alpha=\"0.05\", expect_size=\"11835392\"] \n  25 [size=\"60684800\", alpha=\"0.08\", expect_size=\"24273920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86175744\", alpha=\"0.14\", expect_size=\"43087872\"] \n  1 -> 2 [size =\"43087872\"]\n  2 [size=\"33638400\", alpha=\"0.01\", expect_size=\"16819200\"] \n  2 -> 3 [size =\"16819200\"]\n  2 -> 4 [size =\"16819200\"]\n  3 [size=\"22751232\", alpha=\"0.11\", expect_size=\"11375616\"] \n  3 -> 5 [size =\"11375616\"]\n  4 [size=\"29952000\", alpha=\"0.19\", expect_size=\"14976000\"] \n  5 [size=\"78344192\", alpha=\"0.01\", expect_size=\"39172096\"] \n  5 -> 6 [size =\"39172096\"]\n  6 [size=\"71718912\", alpha=\"0.09\", expect_size=\"35859456\"] \n  6 -> 7 [size =\"35859456\"]\n  6 -> 8 [size =\"35859456\"]\n  7 [size=\"17170432\", alpha=\"0.09\", expect_size=\"8585216\"] \n  7 -> 9 [size =\"8585216\"]\n  8 [size=\"53209088\", alpha=\"0.12\", expect_size=\"26604544\"] \n  8 -> 9 [size =\"26604544\"]\n  9 [size=\"77301760\", alpha=\"0.02\", expect_size=\"38650880\"] \n  9 -> 10 [size =\"38650880\"]\n  10 [size=\"26392576\", alpha=\"0.05\", expect_size=\"13196288\"] \n  10 -> 11 [size =\"13196288\"]\n  11 [size=\"75380736\", alpha=\"0.03\", expect_size=\"37690368\"] \n  11 -> 12 [size =\"37690368\"]\n  12 [size=\"48889856\", alpha=\"0.13\", expect_size=\"24444928\"] \n  12 -> 13 [size =\"24444928\"]\n  12 -> 14 [size =\"24444928\"]\n  13 [size=\"54781952\", alpha=\"0.15\", expect_size=\"27390976\"] \n  13 -> 15 [size =\"27390976\"]\n  14 [size=\"104722432\", alpha=\"0.01\", expect_size=\"52361216\"] \n  14 -> 15 [size =\"52361216\"]\n  15 [size=\"102203392\", alpha=\"0.09\", expect_size=\"51101696\"] \n  15 -> 16 [size =\"51101696\"]\n  15 -> 17 [size =\"51101696\"]\n  16 [size=\"11233280\", alpha=\"0.00\", expect_size=\"5616640\"] \n  16 -> 18 [size =\"5616640\"]\n  17 [size=\"55271424\", alpha=\"0.12\", expect_size=\"27635712\"] \n  17 -> 18 [size =\"27635712\"]\n  18 [size=\"95676416\", alpha=\"0.00\", expect_size=\"47838208\"] \n  18 -> 19 [size =\"47838208\"]\n  19 [size=\"60155904\", alpha=\"0.10\", expect_size=\"30077952\"] \n  19 -> 20 [size =\"30077952\"]\n  20 [size=\"71313408\", alpha=\"0.09\", expect_size=\"35656704\"] \n  20 -> 21 [size =\"35656704\"]\n  21 [size=\"95275008\", alpha=\"0.03\", expect_size=\"47637504\"] \n  21 -> 22 [size =\"47637504\"]\n  22 [size=\"13662208\", alpha=\"0.03\", expect_size=\"6831104\"] \n  22 -> 23 [size =\"6831104\"]\n  23 [size=\"74194944\", alpha=\"0.05\", expect_size=\"37097472\"] \n  23 -> 24 [size =\"37097472\"]\n  24 [size=\"50710528\", alpha=\"0.11\", expect_size=\"25355264\"] \n  24 -> 25 [size =\"25355264\"]\n  25 [size=\"56258560\", alpha=\"0.11\", expect_size=\"28129280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101751467\", alpha=\"0.20\", expect_size=\"30525440\"] \n  1 -> 4 [size =\"30525440\"]\n  2 [size=\"128979627\", alpha=\"0.06\", expect_size=\"38693888\"] \n  2 -> 5 [size =\"38693888\"]\n  2 -> 6 [size =\"38693888\"]\n  3 [size=\"55572480\", alpha=\"0.07\", expect_size=\"16671744\"] \n  3 -> 6 [size =\"16671744\"]\n  4 [size=\"173711360\", alpha=\"0.09\", expect_size=\"52113408\"] \n  4 -> 10 [size =\"52113408\"]\n  5 [size=\"122637653\", alpha=\"0.06\", expect_size=\"36791296\"] \n  5 -> 7 [size =\"36791296\"]\n  5 -> 8 [size =\"36791296\"]\n  5 -> 9 [size =\"36791296\"]\n  6 [size=\"169574400\", alpha=\"0.09\", expect_size=\"50872320\"] \n  6 -> 8 [size =\"50872320\"]\n  7 [size=\"94259200\", alpha=\"0.16\", expect_size=\"28277760\"] \n  8 [size=\"121914027\", alpha=\"0.04\", expect_size=\"36574208\"] \n  9 [size=\"164587520\", alpha=\"0.09\", expect_size=\"49376256\"] \n  9 -> 11 [size =\"49376256\"]\n  9 -> 12 [size =\"49376256\"]\n  10 [size=\"75257173\", alpha=\"0.17\", expect_size=\"22577152\"] \n  10 -> 11 [size =\"22577152\"]\n  10 -> 12 [size =\"22577152\"]\n  11 [size=\"157392213\", alpha=\"0.00\", expect_size=\"47217664\"] \n  11 -> 14 [size =\"47217664\"]\n  12 [size=\"154610347\", alpha=\"0.04\", expect_size=\"46383104\"] \n  12 -> 13 [size =\"46383104\"]\n  12 -> 15 [size =\"46383104\"]\n  13 [size=\"44724907\", alpha=\"0.04\", expect_size=\"13417472\"] \n  13 -> 16 [size =\"13417472\"]\n  13 -> 17 [size =\"13417472\"]\n  13 -> 19 [size =\"13417472\"]\n  13 -> 20 [size =\"13417472\"]\n  14 [size=\"101471573\", alpha=\"0.20\", expect_size=\"30441472\"] \n  14 -> 18 [size =\"30441472\"]\n  14 -> 20 [size =\"30441472\"]\n  15 [size=\"174312107\", alpha=\"0.18\", expect_size=\"52293632\"] \n  15 -> 18 [size =\"52293632\"]\n  16 [size=\"62894080\", alpha=\"0.13\", expect_size=\"18868224\"] \n  17 [size=\"136939520\", alpha=\"0.13\", expect_size=\"41081856\"] \n  17 -> 22 [size =\"41081856\"]\n  18 [size=\"105837227\", alpha=\"0.02\", expect_size=\"31751168\"] \n  18 -> 22 [size =\"31751168\"]\n  19 [size=\"140236800\", alpha=\"0.04\", expect_size=\"42071040\"] \n  19 -> 21 [size =\"42071040\"]\n  20 [size=\"54589440\", alpha=\"0.03\", expect_size=\"16376832\"] \n  20 -> 23 [size =\"16376832\"]\n  21 [size=\"28153173\", alpha=\"0.12\", expect_size=\"8445952\"] \n  21 -> 24 [size =\"8445952\"]\n  22 [size=\"30621013\", alpha=\"0.16\", expect_size=\"9186304\"] \n  23 [size=\"60750507\", alpha=\"0.05\", expect_size=\"18225152\"] \n  23 -> 25 [size =\"18225152\"]\n  24 [size=\"89787733\", alpha=\"0.13\", expect_size=\"26936320\"] \n  25 [size=\"89453227\", alpha=\"0.15\", expect_size=\"26835968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39983787\", alpha=\"0.20\", expect_size=\"11995136\"] \n  2 [size=\"21937493\", alpha=\"0.08\", expect_size=\"6581248\"] \n  2 -> 3 [size =\"6581248\"]\n  2 -> 4 [size =\"6581248\"]\n  3 [size=\"52131840\", alpha=\"0.14\", expect_size=\"15639552\"] \n  3 -> 6 [size =\"15639552\"]\n  4 [size=\"98621440\", alpha=\"0.06\", expect_size=\"29586432\"] \n  4 -> 5 [size =\"29586432\"]\n  5 [size=\"65669120\", alpha=\"0.04\", expect_size=\"19700736\"] \n  5 -> 7 [size =\"19700736\"]\n  5 -> 8 [size =\"19700736\"]\n  6 [size=\"127764480\", alpha=\"0.08\", expect_size=\"38329344\"] \n  6 -> 9 [size =\"38329344\"]\n  7 [size=\"158771200\", alpha=\"0.10\", expect_size=\"47631360\"] \n  7 -> 11 [size =\"47631360\"]\n  7 -> 13 [size =\"47631360\"]\n  7 -> 14 [size =\"47631360\"]\n  8 [size=\"61637973\", alpha=\"0.12\", expect_size=\"18491392\"] \n  8 -> 10 [size =\"18491392\"]\n  8 -> 11 [size =\"18491392\"]\n  9 [size=\"76687360\", alpha=\"0.20\", expect_size=\"23006208\"] \n  9 -> 12 [size =\"23006208\"]\n  10 [size=\"44919467\", alpha=\"0.12\", expect_size=\"13475840\"] \n  10 -> 17 [size =\"13475840\"]\n  11 [size=\"140840960\", alpha=\"0.19\", expect_size=\"42252288\"] \n  11 -> 16 [size =\"42252288\"]\n  11 -> 17 [size =\"42252288\"]\n  12 [size=\"140595200\", alpha=\"0.18\", expect_size=\"42178560\"] \n  12 -> 15 [size =\"42178560\"]\n  12 -> 16 [size =\"42178560\"]\n  13 [size=\"46475947\", alpha=\"0.16\", expect_size=\"13942784\"] \n  13 -> 15 [size =\"13942784\"]\n  13 -> 16 [size =\"13942784\"]\n  14 [size=\"159744000\", alpha=\"0.10\", expect_size=\"47923200\"] \n  14 -> 15 [size =\"47923200\"]\n  15 [size=\"46844587\", alpha=\"0.11\", expect_size=\"14053376\"] \n  15 -> 19 [size =\"14053376\"]\n  15 -> 20 [size =\"14053376\"]\n  16 [size=\"77018453\", alpha=\"0.14\", expect_size=\"23105536\"] \n  16 -> 21 [size =\"23105536\"]\n  17 [size=\"143537493\", alpha=\"0.02\", expect_size=\"43061248\"] \n  17 -> 18 [size =\"43061248\"]\n  18 [size=\"61672107\", alpha=\"0.06\", expect_size=\"18501632\"] \n  18 -> 22 [size =\"18501632\"]\n  18 -> 24 [size =\"18501632\"]\n  19 [size=\"157788160\", alpha=\"0.13\", expect_size=\"47336448\"] \n  19 -> 23 [size =\"47336448\"]\n  19 -> 25 [size =\"47336448\"]\n  20 [size=\"155583147\", alpha=\"0.08\", expect_size=\"46674944\"] \n  21 [size=\"89832107\", alpha=\"0.04\", expect_size=\"26949632\"] \n  21 -> 22 [size =\"26949632\"]\n  22 [size=\"79124480\", alpha=\"0.02\", expect_size=\"23737344\"] \n  23 [size=\"64430080\", alpha=\"0.04\", expect_size=\"19329024\"] \n  24 [size=\"35205120\", alpha=\"0.16\", expect_size=\"10561536\"] \n  25 [size=\"115145387\", alpha=\"0.15\", expect_size=\"34543616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78530560\", alpha=\"0.06\", expect_size=\"23559168\"] \n  1 -> 2 [size =\"23559168\"]\n  2 [size=\"44598613\", alpha=\"0.18\", expect_size=\"13379584\"] \n  2 -> 3 [size =\"13379584\"]\n  3 [size=\"20974933\", alpha=\"0.05\", expect_size=\"6292480\"] \n  3 -> 4 [size =\"6292480\"]\n  4 [size=\"102294187\", alpha=\"0.10\", expect_size=\"30688256\"] \n  4 -> 5 [size =\"30688256\"]\n  5 [size=\"74052267\", alpha=\"0.15\", expect_size=\"22215680\"] \n  5 -> 6 [size =\"22215680\"]\n  6 [size=\"156218027\", alpha=\"0.03\", expect_size=\"46865408\"] \n  6 -> 7 [size =\"46865408\"]\n  7 [size=\"121811627\", alpha=\"0.17\", expect_size=\"36543488\"] \n  7 -> 8 [size =\"36543488\"]\n  8 [size=\"174018560\", alpha=\"0.18\", expect_size=\"52205568\"] \n  8 -> 9 [size =\"52205568\"]\n  9 [size=\"30409387\", alpha=\"0.17\", expect_size=\"9122816\"] \n  9 -> 10 [size =\"9122816\"]\n  10 [size=\"51858773\", alpha=\"0.06\", expect_size=\"15557632\"] \n  10 -> 11 [size =\"15557632\"]\n  11 [size=\"151579307\", alpha=\"0.03\", expect_size=\"45473792\"] \n  11 -> 12 [size =\"45473792\"]\n  12 [size=\"44090027\", alpha=\"0.11\", expect_size=\"13227008\"] \n  12 -> 13 [size =\"13227008\"]\n  13 [size=\"31341227\", alpha=\"0.08\", expect_size=\"9402368\"] \n  13 -> 14 [size =\"9402368\"]\n  14 [size=\"70795947\", alpha=\"0.19\", expect_size=\"21238784\"] \n  14 -> 15 [size =\"21238784\"]\n  15 [size=\"150917120\", alpha=\"0.03\", expect_size=\"45275136\"] \n  15 -> 16 [size =\"45275136\"]\n  16 [size=\"114551467\", alpha=\"0.08\", expect_size=\"34365440\"] \n  16 -> 17 [size =\"34365440\"]\n  17 [size=\"134567253\", alpha=\"0.03\", expect_size=\"40370176\"] \n  17 -> 18 [size =\"40370176\"]\n  18 [size=\"109127680\", alpha=\"0.10\", expect_size=\"32738304\"] \n  18 -> 19 [size =\"32738304\"]\n  19 [size=\"92054187\", alpha=\"0.18\", expect_size=\"27616256\"] \n  19 -> 20 [size =\"27616256\"]\n  20 [size=\"68898133\", alpha=\"0.19\", expect_size=\"20669440\"] \n  20 -> 21 [size =\"20669440\"]\n  21 [size=\"117350400\", alpha=\"0.08\", expect_size=\"35205120\"] \n  21 -> 22 [size =\"35205120\"]\n  22 [size=\"139308373\", alpha=\"0.00\", expect_size=\"41792512\"] \n  22 -> 23 [size =\"41792512\"]\n  23 [size=\"70703787\", alpha=\"0.13\", expect_size=\"21211136\"] \n  23 -> 24 [size =\"21211136\"]\n  24 [size=\"135526400\", alpha=\"0.17\", expect_size=\"40657920\"] \n  24 -> 25 [size =\"40657920\"]\n  25 [size=\"124378453\", alpha=\"0.07\", expect_size=\"37313536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150896640\", alpha=\"0.04\", expect_size=\"45268992\"] \n  1 -> 2 [size =\"45268992\"]\n  2 [size=\"73847467\", alpha=\"0.13\", expect_size=\"22154240\"] \n  2 -> 3 [size =\"22154240\"]\n  3 [size=\"162809173\", alpha=\"0.01\", expect_size=\"48842752\"] \n  3 -> 4 [size =\"48842752\"]\n  4 [size=\"108666880\", alpha=\"0.15\", expect_size=\"32600064\"] \n  4 -> 5 [size =\"32600064\"]\n  5 [size=\"36392960\", alpha=\"0.13\", expect_size=\"10917888\"] \n  5 -> 6 [size =\"10917888\"]\n  6 [size=\"66123093\", alpha=\"0.06\", expect_size=\"19836928\"] \n  6 -> 7 [size =\"19836928\"]\n  7 [size=\"78749013\", alpha=\"0.10\", expect_size=\"23624704\"] \n  7 -> 8 [size =\"23624704\"]\n  8 [size=\"38894933\", alpha=\"0.12\", expect_size=\"11668480\"] \n  8 -> 9 [size =\"11668480\"]\n  9 [size=\"33809067\", alpha=\"0.04\", expect_size=\"10142720\"] \n  9 -> 10 [size =\"10142720\"]\n  10 [size=\"71195307\", alpha=\"0.08\", expect_size=\"21358592\"] \n  10 -> 11 [size =\"21358592\"]\n  11 [size=\"163133440\", alpha=\"0.13\", expect_size=\"48940032\"] \n  11 -> 12 [size =\"48940032\"]\n  12 [size=\"36843520\", alpha=\"0.14\", expect_size=\"11053056\"] \n  12 -> 13 [size =\"11053056\"]\n  13 [size=\"137256960\", alpha=\"0.20\", expect_size=\"41177088\"] \n  13 -> 14 [size =\"41177088\"]\n  14 [size=\"148773547\", alpha=\"0.07\", expect_size=\"44632064\"] \n  14 -> 15 [size =\"44632064\"]\n  15 [size=\"112732160\", alpha=\"0.09\", expect_size=\"33819648\"] \n  15 -> 16 [size =\"33819648\"]\n  16 [size=\"55869440\", alpha=\"0.03\", expect_size=\"16760832\"] \n  16 -> 17 [size =\"16760832\"]\n  17 [size=\"105871360\", alpha=\"0.18\", expect_size=\"31761408\"] \n  17 -> 18 [size =\"31761408\"]\n  18 [size=\"28675413\", alpha=\"0.13\", expect_size=\"8602624\"] \n  18 -> 19 [size =\"8602624\"]\n  19 [size=\"121173333\", alpha=\"0.17\", expect_size=\"36352000\"] \n  19 -> 20 [size =\"36352000\"]\n  20 [size=\"151289173\", alpha=\"0.01\", expect_size=\"45386752\"] \n  20 -> 21 [size =\"45386752\"]\n  21 [size=\"54811307\", alpha=\"0.01\", expect_size=\"16443392\"] \n  21 -> 22 [size =\"16443392\"]\n  22 [size=\"154811733\", alpha=\"0.09\", expect_size=\"46443520\"] \n  22 -> 23 [size =\"46443520\"]\n  23 [size=\"105489067\", alpha=\"0.16\", expect_size=\"31646720\"] \n  23 -> 24 [size =\"31646720\"]\n  24 [size=\"103628800\", alpha=\"0.14\", expect_size=\"31088640\"] \n  24 -> 25 [size =\"31088640\"]\n  25 [size=\"155176960\", alpha=\"0.14\", expect_size=\"46553088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77081600\", alpha=\"0.08\", expect_size=\"30832640\"] \n  1 -> 23 [size =\"30832640\"]\n  1 -> 24 [size =\"30832640\"]\n  2 [size=\"29831680\", alpha=\"0.08\", expect_size=\"11932672\"] \n  2 -> 25 [size =\"11932672\"]\n  3 [size=\"128888320\", alpha=\"0.11\", expect_size=\"51555328\"] \n  3 -> 22 [size =\"51555328\"]\n  3 -> 23 [size =\"51555328\"]\n  4 [size=\"13875200\", alpha=\"0.04\", expect_size=\"5550080\"] \n  4 -> 23 [size =\"5550080\"]\n  4 -> 23 [size =\"5550080\"]\n  4 -> 24 [size =\"5550080\"]\n  5 [size=\"34145280\", alpha=\"0.06\", expect_size=\"13658112\"] \n  5 -> 23 [size =\"13658112\"]\n  6 [size=\"26306560\", alpha=\"0.05\", expect_size=\"10522624\"] \n  6 -> 23 [size =\"10522624\"]\n  6 -> 25 [size =\"10522624\"]\n  7 [size=\"42995200\", alpha=\"0.19\", expect_size=\"17198080\"] \n  7 -> 23 [size =\"17198080\"]\n  7 -> 25 [size =\"17198080\"]\n  8 [size=\"65441280\", alpha=\"0.06\", expect_size=\"26176512\"] \n  8 -> 23 [size =\"26176512\"]\n  8 -> 25 [size =\"26176512\"]\n  9 [size=\"33896960\", alpha=\"0.11\", expect_size=\"13558784\"] \n  9 -> 25 [size =\"13558784\"]\n  10 [size=\"35212800\", alpha=\"0.07\", expect_size=\"14085120\"] \n  10 -> 25 [size =\"14085120\"]\n  11 [size=\"44564480\", alpha=\"0.03\", expect_size=\"17825792\"] \n  11 -> 24 [size =\"17825792\"]\n  11 -> 25 [size =\"17825792\"]\n  12 [size=\"92738560\", alpha=\"0.08\", expect_size=\"37095424\"] \n  13 [size=\"20467200\", alpha=\"0.15\", expect_size=\"8186880\"] \n  13 -> 25 [size =\"8186880\"]\n  14 [size=\"86999040\", alpha=\"0.13\", expect_size=\"34799616\"] \n  15 [size=\"113264640\", alpha=\"0.17\", expect_size=\"45305856\"] \n  15 -> 24 [size =\"45305856\"]\n  16 [size=\"33300480\", alpha=\"0.14\", expect_size=\"13320192\"] \n  17 [size=\"64903680\", alpha=\"0.11\", expect_size=\"25961472\"] \n  17 -> 23 [size =\"25961472\"]\n  18 [size=\"56174080\", alpha=\"0.12\", expect_size=\"22469632\"] \n  18 -> 24 [size =\"22469632\"]\n  19 [size=\"93816320\", alpha=\"0.04\", expect_size=\"37526528\"] \n  19 -> 23 [size =\"37526528\"]\n  20 [size=\"41730560\", alpha=\"0.12\", expect_size=\"16692224\"] \n  20 -> 24 [size =\"16692224\"]\n  21 [size=\"82321920\", alpha=\"0.11\", expect_size=\"32928768\"] \n  21 -> 24 [size =\"32928768\"]\n  22 [size=\"99310080\", alpha=\"0.12\", expect_size=\"39724032\"] \n  23 [size=\"29847040\", alpha=\"0.13\", expect_size=\"11938816\"] \n  24 [size=\"121267200\", alpha=\"0.14\", expect_size=\"48506880\"] \n  25 [size=\"81666560\", alpha=\"0.19\", expect_size=\"32666624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60781227\", alpha=\"0.10\", expect_size=\"18234368\"] \n  1 -> 9 [size =\"18234368\"]\n  1 -> 12 [size =\"18234368\"]\n  1 -> 14 [size =\"18234368\"]\n  1 -> 15 [size =\"18234368\"]\n  2 [size=\"92323840\", alpha=\"0.11\", expect_size=\"27697152\"] \n  2 -> 9 [size =\"27697152\"]\n  2 -> 15 [size =\"27697152\"]\n  2 -> 16 [size =\"27697152\"]\n  3 [size=\"108837547\", alpha=\"0.14\", expect_size=\"32651264\"] \n  3 -> 11 [size =\"32651264\"]\n  3 -> 13 [size =\"32651264\"]\n  4 [size=\"68355413\", alpha=\"0.02\", expect_size=\"20506624\"] \n  4 -> 9 [size =\"20506624\"]\n  4 -> 11 [size =\"20506624\"]\n  5 [size=\"46076587\", alpha=\"0.15\", expect_size=\"13822976\"] \n  5 -> 10 [size =\"13822976\"]\n  5 -> 12 [size =\"13822976\"]\n  6 [size=\"109817173\", alpha=\"0.19\", expect_size=\"32945152\"] \n  6 -> 10 [size =\"32945152\"]\n  6 -> 14 [size =\"32945152\"]\n  7 [size=\"147394560\", alpha=\"0.00\", expect_size=\"44218368\"] \n  7 -> 9 [size =\"44218368\"]\n  7 -> 10 [size =\"44218368\"]\n  7 -> 12 [size =\"44218368\"]\n  7 -> 13 [size =\"44218368\"]\n  7 -> 14 [size =\"44218368\"]\n  8 [size=\"60047360\", alpha=\"0.10\", expect_size=\"18014208\"] \n  8 -> 11 [size =\"18014208\"]\n  8 -> 12 [size =\"18014208\"]\n  8 -> 14 [size =\"18014208\"]\n  8 -> 15 [size =\"18014208\"]\n  8 -> 16 [size =\"18014208\"]\n  9 [size=\"54415360\", alpha=\"0.02\", expect_size=\"16324608\"] \n  9 -> 23 [size =\"16324608\"]\n  10 [size=\"54480213\", alpha=\"0.05\", expect_size=\"16344064\"] \n  10 -> 18 [size =\"16344064\"]\n  10 -> 19 [size =\"16344064\"]\n  11 [size=\"123347627\", alpha=\"0.17\", expect_size=\"37004288\"] \n  11 -> 18 [size =\"37004288\"]\n  11 -> 21 [size =\"37004288\"]\n  11 -> 23 [size =\"37004288\"]\n  12 [size=\"42594987\", alpha=\"0.09\", expect_size=\"12778496\"] \n  12 -> 20 [size =\"12778496\"]\n  12 -> 23 [size =\"12778496\"]\n  13 [size=\"125992960\", alpha=\"0.15\", expect_size=\"37797888\"] \n  13 -> 19 [size =\"37797888\"]\n  13 -> 20 [size =\"37797888\"]\n  13 -> 23 [size =\"37797888\"]\n  13 -> 24 [size =\"37797888\"]\n  14 [size=\"77021867\", alpha=\"0.09\", expect_size=\"23106560\"] \n  14 -> 19 [size =\"23106560\"]\n  14 -> 20 [size =\"23106560\"]\n  14 -> 22 [size =\"23106560\"]\n  15 [size=\"91019947\", alpha=\"0.11\", expect_size=\"27305984\"] \n  15 -> 17 [size =\"27305984\"]\n  15 -> 20 [size =\"27305984\"]\n  15 -> 24 [size =\"27305984\"]\n  16 [size=\"50981547\", alpha=\"0.19\", expect_size=\"15294464\"] \n  16 -> 19 [size =\"15294464\"]\n  17 [size=\"44810240\", alpha=\"0.13\", expect_size=\"13443072\"] \n  18 [size=\"46448640\", alpha=\"0.15\", expect_size=\"13934592\"] \n  19 [size=\"123238400\", alpha=\"0.11\", expect_size=\"36971520\"] \n  20 [size=\"141083307\", alpha=\"0.16\", expect_size=\"42324992\"] \n  20 -> 25 [size =\"42324992\"]\n  21 [size=\"24835413\", alpha=\"0.06\", expect_size=\"7450624\"] \n  22 [size=\"157620907\", alpha=\"0.05\", expect_size=\"47286272\"] \n  23 [size=\"69017600\", alpha=\"0.16\", expect_size=\"20705280\"] \n  24 [size=\"32368640\", alpha=\"0.13\", expect_size=\"9710592\"] \n  24 -> 25 [size =\"9710592\"]\n  25 [size=\"99781973\", alpha=\"0.15\", expect_size=\"29934592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111411200\", alpha=\"0.04\", expect_size=\"33423360\"] \n  1 -> 3 [size =\"33423360\"]\n  1 -> 4 [size =\"33423360\"]\n  1 -> 6 [size =\"33423360\"]\n  2 [size=\"45960533\", alpha=\"0.11\", expect_size=\"13788160\"] \n  2 -> 3 [size =\"13788160\"]\n  2 -> 4 [size =\"13788160\"]\n  2 -> 5 [size =\"13788160\"]\n  3 [size=\"60252160\", alpha=\"0.16\", expect_size=\"18075648\"] \n  3 -> 7 [size =\"18075648\"]\n  3 -> 9 [size =\"18075648\"]\n  4 [size=\"62617600\", alpha=\"0.19\", expect_size=\"18785280\"] \n  5 [size=\"65583787\", alpha=\"0.04\", expect_size=\"19675136\"] \n  5 -> 7 [size =\"19675136\"]\n  5 -> 8 [size =\"19675136\"]\n  5 -> 10 [size =\"19675136\"]\n  6 [size=\"114728960\", alpha=\"0.02\", expect_size=\"34418688\"] \n  6 -> 7 [size =\"34418688\"]\n  6 -> 8 [size =\"34418688\"]\n  6 -> 10 [size =\"34418688\"]\n  7 [size=\"62955520\", alpha=\"0.01\", expect_size=\"18886656\"] \n  7 -> 13 [size =\"18886656\"]\n  8 [size=\"43885227\", alpha=\"0.02\", expect_size=\"13165568\"] \n  8 -> 13 [size =\"13165568\"]\n  8 -> 14 [size =\"13165568\"]\n  9 [size=\"158132907\", alpha=\"0.14\", expect_size=\"47439872\"] \n  9 -> 11 [size =\"47439872\"]\n  9 -> 12 [size =\"47439872\"]\n  9 -> 14 [size =\"47439872\"]\n  10 [size=\"163921920\", alpha=\"0.19\", expect_size=\"49176576\"] \n  10 -> 13 [size =\"49176576\"]\n  10 -> 14 [size =\"49176576\"]\n  11 [size=\"86626987\", alpha=\"0.03\", expect_size=\"25988096\"] \n  12 [size=\"121224533\", alpha=\"0.01\", expect_size=\"36367360\"] \n  12 -> 15 [size =\"36367360\"]\n  13 [size=\"53637120\", alpha=\"0.04\", expect_size=\"16091136\"] \n  13 -> 16 [size =\"16091136\"]\n  14 [size=\"22272000\", alpha=\"0.15\", expect_size=\"6681600\"] \n  14 -> 16 [size =\"6681600\"]\n  15 [size=\"172298240\", alpha=\"0.10\", expect_size=\"51689472\"] \n  15 -> 18 [size =\"51689472\"]\n  15 -> 19 [size =\"51689472\"]\n  15 -> 20 [size =\"51689472\"]\n  16 [size=\"43410773\", alpha=\"0.07\", expect_size=\"13023232\"] \n  16 -> 17 [size =\"13023232\"]\n  16 -> 18 [size =\"13023232\"]\n  16 -> 20 [size =\"13023232\"]\n  17 [size=\"55872853\", alpha=\"0.10\", expect_size=\"16761856\"] \n  17 -> 21 [size =\"16761856\"]\n  17 -> 23 [size =\"16761856\"]\n  18 [size=\"64136533\", alpha=\"0.12\", expect_size=\"19240960\"] \n  18 -> 21 [size =\"19240960\"]\n  19 [size=\"76352853\", alpha=\"0.05\", expect_size=\"22905856\"] \n  19 -> 22 [size =\"22905856\"]\n  20 [size=\"32296960\", alpha=\"0.16\", expect_size=\"9689088\"] \n  20 -> 21 [size =\"9689088\"]\n  20 -> 22 [size =\"9689088\"]\n  20 -> 23 [size =\"9689088\"]\n  21 [size=\"25658027\", alpha=\"0.20\", expect_size=\"7697408\"] \n  21 -> 24 [size =\"7697408\"]\n  21 -> 25 [size =\"7697408\"]\n  22 [size=\"51923627\", alpha=\"0.06\", expect_size=\"15577088\"] \n  22 -> 24 [size =\"15577088\"]\n  23 [size=\"62365013\", alpha=\"0.19\", expect_size=\"18709504\"] \n  24 [size=\"97402880\", alpha=\"0.17\", expect_size=\"29220864\"] \n  25 [size=\"60675413\", alpha=\"0.01\", expect_size=\"18202624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26585088\", alpha=\"0.18\", expect_size=\"13292544\"] \n  1 -> 2 [size =\"13292544\"]\n  2 [size=\"61868032\", alpha=\"0.05\", expect_size=\"30934016\"] \n  2 -> 3 [size =\"30934016\"]\n  2 -> 4 [size =\"30934016\"]\n  3 [size=\"51040256\", alpha=\"0.15\", expect_size=\"25520128\"] \n  3 -> 5 [size =\"25520128\"]\n  3 -> 6 [size =\"25520128\"]\n  4 [size=\"59248640\", alpha=\"0.19\", expect_size=\"29624320\"] \n  4 -> 5 [size =\"29624320\"]\n  5 [size=\"99559424\", alpha=\"0.03\", expect_size=\"49779712\"] \n  5 -> 7 [size =\"49779712\"]\n  6 [size=\"26994688\", alpha=\"0.14\", expect_size=\"13497344\"] \n  6 -> 8 [size =\"13497344\"]\n  7 [size=\"87746560\", alpha=\"0.19\", expect_size=\"43873280\"] \n  7 -> 9 [size =\"43873280\"]\n  7 -> 10 [size =\"43873280\"]\n  8 [size=\"94021632\", alpha=\"0.03\", expect_size=\"47010816\"] \n  8 -> 9 [size =\"47010816\"]\n  8 -> 10 [size =\"47010816\"]\n  9 [size=\"103516160\", alpha=\"0.13\", expect_size=\"51758080\"] \n  9 -> 11 [size =\"51758080\"]\n  10 [size=\"96737280\", alpha=\"0.13\", expect_size=\"48368640\"] \n  11 [size=\"101140480\", alpha=\"0.16\", expect_size=\"50570240\"] \n  11 -> 12 [size =\"50570240\"]\n  12 [size=\"92932096\", alpha=\"0.07\", expect_size=\"46466048\"] \n  12 -> 13 [size =\"46466048\"]\n  12 -> 14 [size =\"46466048\"]\n  13 [size=\"20705280\", alpha=\"0.17\", expect_size=\"10352640\"] \n  13 -> 15 [size =\"10352640\"]\n  14 [size=\"89911296\", alpha=\"0.14\", expect_size=\"44955648\"] \n  15 [size=\"82853888\", alpha=\"0.01\", expect_size=\"41426944\"] \n  15 -> 16 [size =\"41426944\"]\n  16 [size=\"96432128\", alpha=\"0.04\", expect_size=\"48216064\"] \n  16 -> 17 [size =\"48216064\"]\n  16 -> 18 [size =\"48216064\"]\n  17 [size=\"70367232\", alpha=\"0.16\", expect_size=\"35183616\"] \n  17 -> 19 [size =\"35183616\"]\n  18 [size=\"64206848\", alpha=\"0.03\", expect_size=\"32103424\"] \n  19 [size=\"77137920\", alpha=\"0.03\", expect_size=\"38568960\"] \n  19 -> 20 [size =\"38568960\"]\n  19 -> 21 [size =\"38568960\"]\n  20 [size=\"42373120\", alpha=\"0.16\", expect_size=\"21186560\"] \n  20 -> 22 [size =\"21186560\"]\n  20 -> 23 [size =\"21186560\"]\n  21 [size=\"103133184\", alpha=\"0.12\", expect_size=\"51566592\"] \n  21 -> 22 [size =\"51566592\"]\n  22 [size=\"82417664\", alpha=\"0.19\", expect_size=\"41208832\"] \n  22 -> 24 [size =\"41208832\"]\n  23 [size=\"21585920\", alpha=\"0.15\", expect_size=\"10792960\"] \n  24 [size=\"100071424\", alpha=\"0.01\", expect_size=\"50035712\"] \n  24 -> 25 [size =\"50035712\"]\n  25 [size=\"73510912\", alpha=\"0.06\", expect_size=\"36755456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122764800\", alpha=\"0.14\", expect_size=\"49105920\"] \n  1 -> 3 [size =\"49105920\"]\n  1 -> 4 [size =\"49105920\"]\n  2 [size=\"15572480\", alpha=\"0.04\", expect_size=\"6228992\"] \n  2 -> 3 [size =\"6228992\"]\n  2 -> 4 [size =\"6228992\"]\n  3 [size=\"34437120\", alpha=\"0.13\", expect_size=\"13774848\"] \n  3 -> 5 [size =\"13774848\"]\n  4 [size=\"64130560\", alpha=\"0.09\", expect_size=\"25652224\"] \n  4 -> 5 [size =\"25652224\"]\n  5 [size=\"45486080\", alpha=\"0.01\", expect_size=\"18194432\"] \n  5 -> 6 [size =\"18194432\"]\n  5 -> 7 [size =\"18194432\"]\n  6 [size=\"81804800\", alpha=\"0.12\", expect_size=\"32721920\"] \n  6 -> 8 [size =\"32721920\"]\n  6 -> 9 [size =\"32721920\"]\n  7 [size=\"124085760\", alpha=\"0.03\", expect_size=\"49634304\"] \n  7 -> 9 [size =\"49634304\"]\n  8 [size=\"61201920\", alpha=\"0.16\", expect_size=\"24480768\"] \n  8 -> 10 [size =\"24480768\"]\n  9 [size=\"39339520\", alpha=\"0.18\", expect_size=\"15735808\"] \n  9 -> 10 [size =\"15735808\"]\n  10 [size=\"95738880\", alpha=\"0.09\", expect_size=\"38295552\"] \n  10 -> 11 [size =\"38295552\"]\n  10 -> 12 [size =\"38295552\"]\n  11 [size=\"51865600\", alpha=\"0.07\", expect_size=\"20746240\"] \n  11 -> 13 [size =\"20746240\"]\n  11 -> 14 [size =\"20746240\"]\n  12 [size=\"16174080\", alpha=\"0.02\", expect_size=\"6469632\"] \n  12 -> 13 [size =\"6469632\"]\n  12 -> 14 [size =\"6469632\"]\n  13 [size=\"38259200\", alpha=\"0.14\", expect_size=\"15303680\"] \n  13 -> 15 [size =\"15303680\"]\n  13 -> 16 [size =\"15303680\"]\n  14 [size=\"117253120\", alpha=\"0.18\", expect_size=\"46901248\"] \n  14 -> 15 [size =\"46901248\"]\n  14 -> 16 [size =\"46901248\"]\n  15 [size=\"50421760\", alpha=\"0.10\", expect_size=\"20168704\"] \n  15 -> 18 [size =\"20168704\"]\n  16 [size=\"58467840\", alpha=\"0.01\", expect_size=\"23387136\"] \n  16 -> 17 [size =\"23387136\"]\n  16 -> 18 [size =\"23387136\"]\n  17 [size=\"14205440\", alpha=\"0.06\", expect_size=\"5682176\"] \n  17 -> 19 [size =\"5682176\"]\n  18 [size=\"30223360\", alpha=\"0.10\", expect_size=\"12089344\"] \n  18 -> 19 [size =\"12089344\"]\n  19 [size=\"123576320\", alpha=\"0.11\", expect_size=\"49430528\"] \n  19 -> 20 [size =\"49430528\"]\n  20 [size=\"112926720\", alpha=\"0.09\", expect_size=\"45170688\"] \n  20 -> 21 [size =\"45170688\"]\n  20 -> 22 [size =\"45170688\"]\n  21 [size=\"46871040\", alpha=\"0.04\", expect_size=\"18748416\"] \n  21 -> 23 [size =\"18748416\"]\n  21 -> 24 [size =\"18748416\"]\n  22 [size=\"87951360\", alpha=\"0.01\", expect_size=\"35180544\"] \n  22 -> 23 [size =\"35180544\"]\n  22 -> 24 [size =\"35180544\"]\n  23 [size=\"97733120\", alpha=\"0.00\", expect_size=\"39093248\"] \n  23 -> 25 [size =\"39093248\"]\n  24 [size=\"64798720\", alpha=\"0.09\", expect_size=\"25919488\"] \n  24 -> 25 [size =\"25919488\"]\n  25 [size=\"54164480\", alpha=\"0.03\", expect_size=\"21665792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55640747\", alpha=\"0.01\", expect_size=\"16692224\"] \n  1 -> 4 [size =\"16692224\"]\n  1 -> 6 [size =\"16692224\"]\n  2 [size=\"117186560\", alpha=\"0.12\", expect_size=\"35155968\"] \n  2 -> 5 [size =\"35155968\"]\n  2 -> 7 [size =\"35155968\"]\n  3 [size=\"116575573\", alpha=\"0.07\", expect_size=\"34972672\"] \n  3 -> 4 [size =\"34972672\"]\n  4 [size=\"59494400\", alpha=\"0.18\", expect_size=\"17848320\"] \n  4 -> 11 [size =\"17848320\"]\n  4 -> 12 [size =\"17848320\"]\n  5 [size=\"25907200\", alpha=\"0.06\", expect_size=\"7772160\"] \n  5 -> 8 [size =\"7772160\"]\n  5 -> 10 [size =\"7772160\"]\n  5 -> 12 [size =\"7772160\"]\n  6 [size=\"102133760\", alpha=\"0.18\", expect_size=\"30640128\"] \n  6 -> 8 [size =\"30640128\"]\n  6 -> 9 [size =\"30640128\"]\n  6 -> 11 [size =\"30640128\"]\n  6 -> 12 [size =\"30640128\"]\n  7 [size=\"118429013\", alpha=\"0.03\", expect_size=\"35528704\"] \n  7 -> 9 [size =\"35528704\"]\n  8 [size=\"141004800\", alpha=\"0.06\", expect_size=\"42301440\"] \n  8 -> 13 [size =\"42301440\"]\n  9 [size=\"164703573\", alpha=\"0.05\", expect_size=\"49411072\"] \n  9 -> 13 [size =\"49411072\"]\n  9 -> 14 [size =\"49411072\"]\n  10 [size=\"63815680\", alpha=\"0.14\", expect_size=\"19144704\"] \n  11 [size=\"87862613\", alpha=\"0.12\", expect_size=\"26358784\"] \n  11 -> 14 [size =\"26358784\"]\n  12 [size=\"93924693\", alpha=\"0.08\", expect_size=\"28177408\"] \n  12 -> 13 [size =\"28177408\"]\n  12 -> 14 [size =\"28177408\"]\n  12 -> 15 [size =\"28177408\"]\n  13 [size=\"30518613\", alpha=\"0.00\", expect_size=\"9155584\"] \n  13 -> 17 [size =\"9155584\"]\n  13 -> 18 [size =\"9155584\"]\n  13 -> 19 [size =\"9155584\"]\n  14 [size=\"85142187\", alpha=\"0.15\", expect_size=\"25542656\"] \n  15 [size=\"70273707\", alpha=\"0.01\", expect_size=\"21082112\"] \n  15 -> 16 [size =\"21082112\"]\n  15 -> 19 [size =\"21082112\"]\n  16 [size=\"115415040\", alpha=\"0.09\", expect_size=\"34624512\"] \n  16 -> 20 [size =\"34624512\"]\n  17 [size=\"97928533\", alpha=\"0.06\", expect_size=\"29378560\"] \n  17 -> 21 [size =\"29378560\"]\n  17 -> 22 [size =\"29378560\"]\n  18 [size=\"123368107\", alpha=\"0.20\", expect_size=\"37010432\"] \n  18 -> 21 [size =\"37010432\"]\n  18 -> 22 [size =\"37010432\"]\n  19 [size=\"172052480\", alpha=\"0.11\", expect_size=\"51615744\"] \n  20 [size=\"57497600\", alpha=\"0.20\", expect_size=\"17249280\"] \n  20 -> 23 [size =\"17249280\"]\n  20 -> 24 [size =\"17249280\"]\n  20 -> 25 [size =\"17249280\"]\n  21 [size=\"164181333\", alpha=\"0.14\", expect_size=\"49254400\"] \n  21 -> 23 [size =\"49254400\"]\n  22 [size=\"101488640\", alpha=\"0.20\", expect_size=\"30446592\"] \n  22 -> 24 [size =\"30446592\"]\n  22 -> 25 [size =\"30446592\"]\n  23 [size=\"164423680\", alpha=\"0.19\", expect_size=\"49327104\"] \n  24 [size=\"165597867\", alpha=\"0.03\", expect_size=\"49679360\"] \n  25 [size=\"122900480\", alpha=\"0.09\", expect_size=\"36870144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28463787\", alpha=\"0.15\", expect_size=\"8539136\"] \n  2 [size=\"151364267\", alpha=\"0.07\", expect_size=\"45409280\"] \n  3 [size=\"23425707\", alpha=\"0.13\", expect_size=\"7027712\"] \n  4 [size=\"37464747\", alpha=\"0.05\", expect_size=\"11239424\"] \n  5 [size=\"111237120\", alpha=\"0.03\", expect_size=\"33371136\"] \n  5 -> 25 [size =\"33371136\"]\n  6 [size=\"57797973\", alpha=\"0.08\", expect_size=\"17339392\"] \n  7 [size=\"92770987\", alpha=\"0.09\", expect_size=\"27831296\"] \n  8 [size=\"42072747\", alpha=\"0.12\", expect_size=\"12621824\"] \n  9 [size=\"139369813\", alpha=\"0.20\", expect_size=\"41810944\"] \n  10 [size=\"68778667\", alpha=\"0.17\", expect_size=\"20633600\"] \n  11 [size=\"101645653\", alpha=\"0.17\", expect_size=\"30493696\"] \n  12 [size=\"61876907\", alpha=\"0.04\", expect_size=\"18563072\"] \n  13 [size=\"114667520\", alpha=\"0.19\", expect_size=\"34400256\"] \n  14 [size=\"60583253\", alpha=\"0.17\", expect_size=\"18174976\"] \n  15 [size=\"97894400\", alpha=\"0.02\", expect_size=\"29368320\"] \n  16 [size=\"119029760\", alpha=\"0.18\", expect_size=\"35708928\"] \n  17 [size=\"21790720\", alpha=\"0.06\", expect_size=\"6537216\"] \n  18 [size=\"92385280\", alpha=\"0.13\", expect_size=\"27715584\"] \n  18 -> 25 [size =\"27715584\"]\n  19 [size=\"30409387\", alpha=\"0.14\", expect_size=\"9122816\"] \n  20 [size=\"26726400\", alpha=\"0.05\", expect_size=\"8017920\"] \n  21 [size=\"159580160\", alpha=\"0.18\", expect_size=\"47874048\"] \n  22 [size=\"135089493\", alpha=\"0.07\", expect_size=\"40526848\"] \n  23 [size=\"169731413\", alpha=\"0.17\", expect_size=\"50919424\"] \n  24 [size=\"158638080\", alpha=\"0.10\", expect_size=\"47591424\"] \n  25 [size=\"132007253\", alpha=\"0.15\", expect_size=\"39602176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154821973\", alpha=\"0.19\", expect_size=\"46446592\"] \n  1 -> 4 [size =\"46446592\"]\n  1 -> 5 [size =\"46446592\"]\n  2 [size=\"127139840\", alpha=\"0.11\", expect_size=\"38141952\"] \n  2 -> 3 [size =\"38141952\"]\n  2 -> 4 [size =\"38141952\"]\n  2 -> 5 [size =\"38141952\"]\n  2 -> 6 [size =\"38141952\"]\n  3 [size=\"124409173\", alpha=\"0.15\", expect_size=\"37322752\"] \n  3 -> 8 [size =\"37322752\"]\n  4 [size=\"123064320\", alpha=\"0.12\", expect_size=\"36919296\"] \n  4 -> 7 [size =\"36919296\"]\n  4 -> 8 [size =\"36919296\"]\n  5 [size=\"95423147\", alpha=\"0.18\", expect_size=\"28626944\"] \n  5 -> 7 [size =\"28626944\"]\n  5 -> 8 [size =\"28626944\"]\n  6 [size=\"142878720\", alpha=\"0.04\", expect_size=\"42863616\"] \n  7 [size=\"164065280\", alpha=\"0.19\", expect_size=\"49219584\"] \n  7 -> 9 [size =\"49219584\"]\n  7 -> 10 [size =\"49219584\"]\n  8 [size=\"136960000\", alpha=\"0.09\", expect_size=\"41088000\"] \n  8 -> 9 [size =\"41088000\"]\n  8 -> 10 [size =\"41088000\"]\n  9 [size=\"163720533\", alpha=\"0.12\", expect_size=\"49116160\"] \n  9 -> 12 [size =\"49116160\"]\n  10 [size=\"130211840\", alpha=\"0.20\", expect_size=\"39063552\"] \n  10 -> 11 [size =\"39063552\"]\n  10 -> 12 [size =\"39063552\"]\n  11 [size=\"152511147\", alpha=\"0.13\", expect_size=\"45753344\"] \n  11 -> 13 [size =\"45753344\"]\n  11 -> 14 [size =\"45753344\"]\n  11 -> 16 [size =\"45753344\"]\n  11 -> 17 [size =\"45753344\"]\n  12 [size=\"143489707\", alpha=\"0.00\", expect_size=\"43046912\"] \n  12 -> 13 [size =\"43046912\"]\n  12 -> 14 [size =\"43046912\"]\n  12 -> 15 [size =\"43046912\"]\n  12 -> 17 [size =\"43046912\"]\n  13 [size=\"75803307\", alpha=\"0.20\", expect_size=\"22740992\"] \n  13 -> 19 [size =\"22740992\"]\n  13 -> 20 [size =\"22740992\"]\n  13 -> 21 [size =\"22740992\"]\n  14 [size=\"40198827\", alpha=\"0.04\", expect_size=\"12059648\"] \n  14 -> 18 [size =\"12059648\"]\n  14 -> 19 [size =\"12059648\"]\n  14 -> 20 [size =\"12059648\"]\n  15 [size=\"136198827\", alpha=\"0.01\", expect_size=\"40859648\"] \n  15 -> 20 [size =\"40859648\"]\n  15 -> 21 [size =\"40859648\"]\n  16 [size=\"117865813\", alpha=\"0.02\", expect_size=\"35359744\"] \n  16 -> 18 [size =\"35359744\"]\n  16 -> 20 [size =\"35359744\"]\n  17 [size=\"145698133\", alpha=\"0.05\", expect_size=\"43709440\"] \n  17 -> 19 [size =\"43709440\"]\n  18 [size=\"135249920\", alpha=\"0.09\", expect_size=\"40574976\"] \n  18 -> 23 [size =\"40574976\"]\n  18 -> 24 [size =\"40574976\"]\n  19 [size=\"51189760\", alpha=\"0.17\", expect_size=\"15356928\"] \n  19 -> 23 [size =\"15356928\"]\n  19 -> 24 [size =\"15356928\"]\n  20 [size=\"141981013\", alpha=\"0.16\", expect_size=\"42594304\"] \n  20 -> 22 [size =\"42594304\"]\n  20 -> 24 [size =\"42594304\"]\n  21 [size=\"141793280\", alpha=\"0.13\", expect_size=\"42537984\"] \n  21 -> 23 [size =\"42537984\"]\n  22 [size=\"89757013\", alpha=\"0.03\", expect_size=\"26927104\"] \n  23 [size=\"90456747\", alpha=\"0.08\", expect_size=\"27137024\"] \n  23 -> 25 [size =\"27137024\"]\n  24 [size=\"89767253\", alpha=\"0.05\", expect_size=\"26930176\"] \n  25 [size=\"120214187\", alpha=\"0.13\", expect_size=\"36064256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113574400\", alpha=\"0.01\", expect_size=\"45429760\"] \n  2 [size=\"74311680\", alpha=\"0.02\", expect_size=\"29724672\"] \n  2 -> 3 [size =\"29724672\"]\n  2 -> 4 [size =\"29724672\"]\n  3 [size=\"101404160\", alpha=\"0.05\", expect_size=\"40561664\"] \n  4 [size=\"14297600\", alpha=\"0.17\", expect_size=\"5719040\"] \n  4 -> 5 [size =\"5719040\"]\n  5 [size=\"52244480\", alpha=\"0.10\", expect_size=\"20897792\"] \n  5 -> 6 [size =\"20897792\"]\n  6 [size=\"28577280\", alpha=\"0.15\", expect_size=\"11430912\"] \n  6 -> 7 [size =\"11430912\"]\n  7 [size=\"61291520\", alpha=\"0.20\", expect_size=\"24516608\"] \n  7 -> 8 [size =\"24516608\"]\n  8 [size=\"39672320\", alpha=\"0.05\", expect_size=\"15868928\"] \n  8 -> 9 [size =\"15868928\"]\n  8 -> 10 [size =\"15868928\"]\n  9 [size=\"103825920\", alpha=\"0.00\", expect_size=\"41530368\"] \n  9 -> 11 [size =\"41530368\"]\n  10 [size=\"103994880\", alpha=\"0.11\", expect_size=\"41597952\"] \n  10 -> 11 [size =\"41597952\"]\n  11 [size=\"56939520\", alpha=\"0.07\", expect_size=\"22775808\"] \n  11 -> 12 [size =\"22775808\"]\n  12 [size=\"64035840\", alpha=\"0.02\", expect_size=\"25614336\"] \n  12 -> 13 [size =\"25614336\"]\n  12 -> 14 [size =\"25614336\"]\n  13 [size=\"76646400\", alpha=\"0.05\", expect_size=\"30658560\"] \n  13 -> 15 [size =\"30658560\"]\n  13 -> 16 [size =\"30658560\"]\n  14 [size=\"107287040\", alpha=\"0.07\", expect_size=\"42914816\"] \n  15 [size=\"86830080\", alpha=\"0.18\", expect_size=\"34732032\"] \n  15 -> 17 [size =\"34732032\"]\n  15 -> 18 [size =\"34732032\"]\n  16 [size=\"27320320\", alpha=\"0.06\", expect_size=\"10928128\"] \n  17 [size=\"118264320\", alpha=\"0.04\", expect_size=\"47305728\"] \n  18 [size=\"118179840\", alpha=\"0.02\", expect_size=\"47271936\"] \n  18 -> 19 [size =\"47271936\"]\n  19 [size=\"29882880\", alpha=\"0.13\", expect_size=\"11953152\"] \n  19 -> 20 [size =\"11953152\"]\n  19 -> 21 [size =\"11953152\"]\n  20 [size=\"31882240\", alpha=\"0.04\", expect_size=\"12752896\"] \n  21 [size=\"98923520\", alpha=\"0.11\", expect_size=\"39569408\"] \n  21 -> 22 [size =\"39569408\"]\n  21 -> 23 [size =\"39569408\"]\n  22 [size=\"24404480\", alpha=\"0.09\", expect_size=\"9761792\"] \n  22 -> 24 [size =\"9761792\"]\n  22 -> 25 [size =\"9761792\"]\n  23 [size=\"38597120\", alpha=\"0.02\", expect_size=\"15438848\"] \n  23 -> 24 [size =\"15438848\"]\n  23 -> 25 [size =\"15438848\"]\n  24 [size=\"67133440\", alpha=\"0.15\", expect_size=\"26853376\"] \n  25 [size=\"106421760\", alpha=\"0.15\", expect_size=\"42568704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54919168\", alpha=\"0.04\", expect_size=\"27459584\"] \n  1 -> 2 [size =\"27459584\"]\n  2 [size=\"12244992\", alpha=\"0.05\", expect_size=\"6122496\"] \n  2 -> 3 [size =\"6122496\"]\n  3 [size=\"60909568\", alpha=\"0.02\", expect_size=\"30454784\"] \n  3 -> 4 [size =\"30454784\"]\n  4 [size=\"53071872\", alpha=\"0.06\", expect_size=\"26535936\"] \n  4 -> 5 [size =\"26535936\"]\n  5 [size=\"103854080\", alpha=\"0.13\", expect_size=\"51927040\"] \n  5 -> 6 [size =\"51927040\"]\n  6 [size=\"76716032\", alpha=\"0.05\", expect_size=\"38358016\"] \n  6 -> 7 [size =\"38358016\"]\n  7 [size=\"58150912\", alpha=\"0.16\", expect_size=\"29075456\"] \n  7 -> 8 [size =\"29075456\"]\n  8 [size=\"12822528\", alpha=\"0.02\", expect_size=\"6411264\"] \n  8 -> 9 [size =\"6411264\"]\n  9 [size=\"102111232\", alpha=\"0.00\", expect_size=\"51055616\"] \n  9 -> 10 [size =\"51055616\"]\n  10 [size=\"75239424\", alpha=\"0.08\", expect_size=\"37619712\"] \n  10 -> 11 [size =\"37619712\"]\n  11 [size=\"48756736\", alpha=\"0.08\", expect_size=\"24378368\"] \n  11 -> 12 [size =\"24378368\"]\n  12 [size=\"69404672\", alpha=\"0.12\", expect_size=\"34702336\"] \n  12 -> 13 [size =\"34702336\"]\n  13 [size=\"91095040\", alpha=\"0.10\", expect_size=\"45547520\"] \n  13 -> 14 [size =\"45547520\"]\n  14 [size=\"101658624\", alpha=\"0.04\", expect_size=\"50829312\"] \n  14 -> 15 [size =\"50829312\"]\n  15 [size=\"34068480\", alpha=\"0.11\", expect_size=\"17034240\"] \n  15 -> 16 [size =\"17034240\"]\n  16 [size=\"95358976\", alpha=\"0.11\", expect_size=\"47679488\"] \n  16 -> 17 [size =\"47679488\"]\n  17 [size=\"23816192\", alpha=\"0.03\", expect_size=\"11908096\"] \n  17 -> 18 [size =\"11908096\"]\n  18 [size=\"97476608\", alpha=\"0.19\", expect_size=\"48738304\"] \n  18 -> 19 [size =\"48738304\"]\n  19 [size=\"13873152\", alpha=\"0.12\", expect_size=\"6936576\"] \n  19 -> 20 [size =\"6936576\"]\n  20 [size=\"15491072\", alpha=\"0.07\", expect_size=\"7745536\"] \n  20 -> 21 [size =\"7745536\"]\n  21 [size=\"52166656\", alpha=\"0.13\", expect_size=\"26083328\"] \n  21 -> 22 [size =\"26083328\"]\n  22 [size=\"90716160\", alpha=\"0.19\", expect_size=\"45358080\"] \n  22 -> 23 [size =\"45358080\"]\n  23 [size=\"53114880\", alpha=\"0.15\", expect_size=\"26557440\"] \n  23 -> 24 [size =\"26557440\"]\n  24 [size=\"98324480\", alpha=\"0.00\", expect_size=\"49162240\"] \n  24 -> 25 [size =\"49162240\"]\n  25 [size=\"23250944\", alpha=\"0.06\", expect_size=\"11625472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104155136\", alpha=\"0.04\", expect_size=\"52077568\"] \n  1 -> 21 [size =\"52077568\"]\n  1 -> 22 [size =\"52077568\"]\n  1 -> 23 [size =\"52077568\"]\n  2 [size=\"21782528\", alpha=\"0.14\", expect_size=\"10891264\"] \n  2 -> 23 [size =\"10891264\"]\n  2 -> 24 [size =\"10891264\"]\n  3 [size=\"56174592\", alpha=\"0.15\", expect_size=\"28087296\"] \n  3 -> 24 [size =\"28087296\"]\n  3 -> 24 [size =\"28087296\"]\n  4 [size=\"97812480\", alpha=\"0.13\", expect_size=\"48906240\"] \n  5 [size=\"60778496\", alpha=\"0.02\", expect_size=\"30389248\"] \n  5 -> 21 [size =\"30389248\"]\n  5 -> 23 [size =\"30389248\"]\n  6 [size=\"93120512\", alpha=\"0.04\", expect_size=\"46560256\"] \n  6 -> 23 [size =\"46560256\"]\n  6 -> 24 [size =\"46560256\"]\n  7 [size=\"16547840\", alpha=\"0.02\", expect_size=\"8273920\"] \n  7 -> 24 [size =\"8273920\"]\n  7 -> 24 [size =\"8273920\"]\n  7 -> 25 [size =\"8273920\"]\n  8 [size=\"70305792\", alpha=\"0.19\", expect_size=\"35152896\"] \n  8 -> 24 [size =\"35152896\"]\n  9 [size=\"54276096\", alpha=\"0.15\", expect_size=\"27138048\"] \n  9 -> 21 [size =\"27138048\"]\n  9 -> 24 [size =\"27138048\"]\n  9 -> 25 [size =\"27138048\"]\n  10 [size=\"90775552\", alpha=\"0.10\", expect_size=\"45387776\"] \n  10 -> 23 [size =\"45387776\"]\n  10 -> 24 [size =\"45387776\"]\n  10 -> 25 [size =\"45387776\"]\n  11 [size=\"92403712\", alpha=\"0.01\", expect_size=\"46201856\"] \n  11 -> 24 [size =\"46201856\"]\n  11 -> 24 [size =\"46201856\"]\n  12 [size=\"19171328\", alpha=\"0.16\", expect_size=\"9585664\"] \n  13 [size=\"85370880\", alpha=\"0.04\", expect_size=\"42685440\"] \n  13 -> 21 [size =\"42685440\"]\n  14 [size=\"60723200\", alpha=\"0.06\", expect_size=\"30361600\"] \n  15 [size=\"28626944\", alpha=\"0.15\", expect_size=\"14313472\"] \n  15 -> 22 [size =\"14313472\"]\n  15 -> 24 [size =\"14313472\"]\n  16 [size=\"37836800\", alpha=\"0.02\", expect_size=\"18918400\"] \n  16 -> 23 [size =\"18918400\"]\n  16 -> 24 [size =\"18918400\"]\n  17 [size=\"55678976\", alpha=\"0.19\", expect_size=\"27839488\"] \n  17 -> 24 [size =\"27839488\"]\n  17 -> 24 [size =\"27839488\"]\n  17 -> 25 [size =\"27839488\"]\n  18 [size=\"63840256\", alpha=\"0.13\", expect_size=\"31920128\"] \n  18 -> 22 [size =\"31920128\"]\n  18 -> 23 [size =\"31920128\"]\n  18 -> 24 [size =\"31920128\"]\n  18 -> 25 [size =\"31920128\"]\n  19 [size=\"59922432\", alpha=\"0.06\", expect_size=\"29961216\"] \n  19 -> 23 [size =\"29961216\"]\n  19 -> 23 [size =\"29961216\"]\n  19 -> 24 [size =\"29961216\"]\n  20 [size=\"35211264\", alpha=\"0.16\", expect_size=\"17605632\"] \n  20 -> 23 [size =\"17605632\"]\n  20 -> 24 [size =\"17605632\"]\n  21 [size=\"80211968\", alpha=\"0.05\", expect_size=\"40105984\"] \n  22 [size=\"84111360\", alpha=\"0.18\", expect_size=\"42055680\"] \n  23 [size=\"66174976\", alpha=\"0.19\", expect_size=\"33087488\"] \n  24 [size=\"85198848\", alpha=\"0.20\", expect_size=\"42599424\"] \n  25 [size=\"20930560\", alpha=\"0.10\", expect_size=\"10465280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60623360\", alpha=\"0.00\", expect_size=\"24249344\"] \n  1 -> 2 [size =\"24249344\"]\n  2 [size=\"120010240\", alpha=\"0.14\", expect_size=\"48004096\"] \n  2 -> 3 [size =\"48004096\"]\n  3 [size=\"114365440\", alpha=\"0.16\", expect_size=\"45746176\"] \n  3 -> 4 [size =\"45746176\"]\n  4 [size=\"20088320\", alpha=\"0.17\", expect_size=\"8035328\"] \n  4 -> 5 [size =\"8035328\"]\n  5 [size=\"77429760\", alpha=\"0.09\", expect_size=\"30971904\"] \n  5 -> 6 [size =\"30971904\"]\n  6 [size=\"83980800\", alpha=\"0.14\", expect_size=\"33592320\"] \n  6 -> 7 [size =\"33592320\"]\n  7 [size=\"14804480\", alpha=\"0.04\", expect_size=\"5921792\"] \n  7 -> 8 [size =\"5921792\"]\n  8 [size=\"116718080\", alpha=\"0.12\", expect_size=\"46687232\"] \n  8 -> 9 [size =\"46687232\"]\n  9 [size=\"25377280\", alpha=\"0.16\", expect_size=\"10150912\"] \n  9 -> 10 [size =\"10150912\"]\n  10 [size=\"77271040\", alpha=\"0.03\", expect_size=\"30908416\"] \n  10 -> 11 [size =\"30908416\"]\n  11 [size=\"94574080\", alpha=\"0.01\", expect_size=\"37829632\"] \n  11 -> 12 [size =\"37829632\"]\n  12 [size=\"95877120\", alpha=\"0.10\", expect_size=\"38350848\"] \n  12 -> 13 [size =\"38350848\"]\n  13 [size=\"61160960\", alpha=\"0.16\", expect_size=\"24464384\"] \n  13 -> 14 [size =\"24464384\"]\n  14 [size=\"37580800\", alpha=\"0.04\", expect_size=\"15032320\"] \n  14 -> 15 [size =\"15032320\"]\n  15 [size=\"20751360\", alpha=\"0.07\", expect_size=\"8300544\"] \n  15 -> 16 [size =\"8300544\"]\n  16 [size=\"73548800\", alpha=\"0.16\", expect_size=\"29419520\"] \n  16 -> 17 [size =\"29419520\"]\n  17 [size=\"37076480\", alpha=\"0.19\", expect_size=\"14830592\"] \n  17 -> 18 [size =\"14830592\"]\n  18 [size=\"60664320\", alpha=\"0.02\", expect_size=\"24265728\"] \n  18 -> 19 [size =\"24265728\"]\n  19 [size=\"130938880\", alpha=\"0.05\", expect_size=\"52375552\"] \n  19 -> 20 [size =\"52375552\"]\n  20 [size=\"106713600\", alpha=\"0.17\", expect_size=\"42685440\"] \n  20 -> 21 [size =\"42685440\"]\n  21 [size=\"125434880\", alpha=\"0.18\", expect_size=\"50173952\"] \n  21 -> 22 [size =\"50173952\"]\n  22 [size=\"128711680\", alpha=\"0.16\", expect_size=\"51484672\"] \n  22 -> 23 [size =\"51484672\"]\n  23 [size=\"68421120\", alpha=\"0.12\", expect_size=\"27368448\"] \n  23 -> 24 [size =\"27368448\"]\n  24 [size=\"43642880\", alpha=\"0.09\", expect_size=\"17457152\"] \n  24 -> 25 [size =\"17457152\"]\n  25 [size=\"64742400\", alpha=\"0.17\", expect_size=\"25896960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139537067\", alpha=\"0.18\", expect_size=\"41861120\"] \n  1 -> 3 [size =\"41861120\"]\n  1 -> 4 [size =\"41861120\"]\n  2 [size=\"33768107\", alpha=\"0.17\", expect_size=\"10130432\"] \n  2 -> 3 [size =\"10130432\"]\n  3 [size=\"23470080\", alpha=\"0.02\", expect_size=\"7041024\"] \n  3 -> 5 [size =\"7041024\"]\n  4 [size=\"32177493\", alpha=\"0.05\", expect_size=\"9653248\"] \n  4 -> 5 [size =\"9653248\"]\n  5 [size=\"156982613\", alpha=\"0.11\", expect_size=\"47094784\"] \n  5 -> 6 [size =\"47094784\"]\n  5 -> 7 [size =\"47094784\"]\n  6 [size=\"162075307\", alpha=\"0.05\", expect_size=\"48622592\"] \n  6 -> 9 [size =\"48622592\"]\n  7 [size=\"35543040\", alpha=\"0.04\", expect_size=\"10662912\"] \n  7 -> 8 [size =\"10662912\"]\n  7 -> 9 [size =\"10662912\"]\n  8 [size=\"113210027\", alpha=\"0.11\", expect_size=\"33963008\"] \n  8 -> 10 [size =\"33963008\"]\n  9 [size=\"65228800\", alpha=\"0.16\", expect_size=\"19568640\"] \n  9 -> 10 [size =\"19568640\"]\n  10 [size=\"153221120\", alpha=\"0.03\", expect_size=\"45966336\"] \n  10 -> 11 [size =\"45966336\"]\n  10 -> 12 [size =\"45966336\"]\n  11 [size=\"150555307\", alpha=\"0.19\", expect_size=\"45166592\"] \n  11 -> 13 [size =\"45166592\"]\n  12 [size=\"136878080\", alpha=\"0.16\", expect_size=\"41063424\"] \n  12 -> 13 [size =\"41063424\"]\n  13 [size=\"110138027\", alpha=\"0.03\", expect_size=\"33041408\"] \n  13 -> 14 [size =\"33041408\"]\n  13 -> 15 [size =\"33041408\"]\n  14 [size=\"124262400\", alpha=\"0.10\", expect_size=\"37278720\"] \n  14 -> 17 [size =\"37278720\"]\n  15 [size=\"166539947\", alpha=\"0.01\", expect_size=\"49961984\"] \n  15 -> 16 [size =\"49961984\"]\n  15 -> 17 [size =\"49961984\"]\n  16 [size=\"98116267\", alpha=\"0.06\", expect_size=\"29434880\"] \n  16 -> 18 [size =\"29434880\"]\n  17 [size=\"133720747\", alpha=\"0.08\", expect_size=\"40116224\"] \n  18 [size=\"161525760\", alpha=\"0.03\", expect_size=\"48457728\"] \n  18 -> 19 [size =\"48457728\"]\n  18 -> 20 [size =\"48457728\"]\n  19 [size=\"90262187\", alpha=\"0.13\", expect_size=\"27078656\"] \n  19 -> 22 [size =\"27078656\"]\n  20 [size=\"60398933\", alpha=\"0.18\", expect_size=\"18119680\"] \n  20 -> 21 [size =\"18119680\"]\n  20 -> 22 [size =\"18119680\"]\n  21 [size=\"85756587\", alpha=\"0.17\", expect_size=\"25726976\"] \n  21 -> 23 [size =\"25726976\"]\n  22 [size=\"80500053\", alpha=\"0.19\", expect_size=\"24150016\"] \n  22 -> 23 [size =\"24150016\"]\n  23 [size=\"46066347\", alpha=\"0.02\", expect_size=\"13819904\"] \n  23 -> 24 [size =\"13819904\"]\n  23 -> 25 [size =\"13819904\"]\n  24 [size=\"70154240\", alpha=\"0.06\", expect_size=\"21046272\"] \n  25 [size=\"148599467\", alpha=\"0.08\", expect_size=\"44579840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104526507\", alpha=\"0.12\", expect_size=\"31357952\"] \n  1 -> 2 [size =\"31357952\"]\n  2 [size=\"57845760\", alpha=\"0.07\", expect_size=\"17353728\"] \n  2 -> 3 [size =\"17353728\"]\n  3 [size=\"17899520\", alpha=\"0.11\", expect_size=\"5369856\"] \n  3 -> 4 [size =\"5369856\"]\n  4 [size=\"141772800\", alpha=\"0.18\", expect_size=\"42531840\"] \n  4 -> 5 [size =\"42531840\"]\n  5 [size=\"136448000\", alpha=\"0.12\", expect_size=\"40934400\"] \n  5 -> 6 [size =\"40934400\"]\n  6 [size=\"39901867\", alpha=\"0.12\", expect_size=\"11970560\"] \n  6 -> 7 [size =\"11970560\"]\n  7 [size=\"151773867\", alpha=\"0.18\", expect_size=\"45532160\"] \n  7 -> 8 [size =\"45532160\"]\n  8 [size=\"86804480\", alpha=\"0.04\", expect_size=\"26041344\"] \n  8 -> 9 [size =\"26041344\"]\n  9 [size=\"77977600\", alpha=\"0.13\", expect_size=\"23393280\"] \n  9 -> 10 [size =\"23393280\"]\n  10 [size=\"134956373\", alpha=\"0.01\", expect_size=\"40486912\"] \n  10 -> 11 [size =\"40486912\"]\n  11 [size=\"105721173\", alpha=\"0.15\", expect_size=\"31716352\"] \n  11 -> 12 [size =\"31716352\"]\n  12 [size=\"39325013\", alpha=\"0.02\", expect_size=\"11797504\"] \n  12 -> 13 [size =\"11797504\"]\n  13 [size=\"95119360\", alpha=\"0.19\", expect_size=\"28535808\"] \n  13 -> 14 [size =\"28535808\"]\n  14 [size=\"21411840\", alpha=\"0.15\", expect_size=\"6423552\"] \n  14 -> 15 [size =\"6423552\"]\n  15 [size=\"160368640\", alpha=\"0.13\", expect_size=\"48110592\"] \n  15 -> 16 [size =\"48110592\"]\n  16 [size=\"97314133\", alpha=\"0.05\", expect_size=\"29194240\"] \n  16 -> 17 [size =\"29194240\"]\n  17 [size=\"36396373\", alpha=\"0.01\", expect_size=\"10918912\"] \n  17 -> 18 [size =\"10918912\"]\n  18 [size=\"174489600\", alpha=\"0.01\", expect_size=\"52346880\"] \n  18 -> 19 [size =\"52346880\"]\n  19 [size=\"49493333\", alpha=\"0.07\", expect_size=\"14848000\"] \n  19 -> 20 [size =\"14848000\"]\n  20 [size=\"154808320\", alpha=\"0.04\", expect_size=\"46442496\"] \n  20 -> 21 [size =\"46442496\"]\n  21 [size=\"162051413\", alpha=\"0.13\", expect_size=\"48615424\"] \n  21 -> 22 [size =\"48615424\"]\n  22 [size=\"126382080\", alpha=\"0.06\", expect_size=\"37914624\"] \n  22 -> 23 [size =\"37914624\"]\n  23 [size=\"140591787\", alpha=\"0.20\", expect_size=\"42177536\"] \n  23 -> 24 [size =\"42177536\"]\n  24 [size=\"134857387\", alpha=\"0.09\", expect_size=\"40457216\"] \n  24 -> 25 [size =\"40457216\"]\n  25 [size=\"94877013\", alpha=\"0.14\", expect_size=\"28463104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101664768\", alpha=\"0.08\", expect_size=\"50832384\"] \n  1 -> 4 [size =\"50832384\"]\n  1 -> 5 [size =\"50832384\"]\n  1 -> 6 [size =\"50832384\"]\n  1 -> 8 [size =\"50832384\"]\n  2 [size=\"37773312\", alpha=\"0.00\", expect_size=\"18886656\"] \n  3 [size=\"54169600\", alpha=\"0.04\", expect_size=\"27084800\"] \n  3 -> 7 [size =\"27084800\"]\n  4 [size=\"27308032\", alpha=\"0.10\", expect_size=\"13654016\"] \n  4 -> 9 [size =\"13654016\"]\n  5 [size=\"71788544\", alpha=\"0.03\", expect_size=\"35894272\"] \n  5 -> 11 [size =\"35894272\"]\n  6 [size=\"85143552\", alpha=\"0.11\", expect_size=\"42571776\"] \n  6 -> 13 [size =\"42571776\"]\n  7 [size=\"40681472\", alpha=\"0.06\", expect_size=\"20340736\"] \n  7 -> 10 [size =\"20340736\"]\n  7 -> 12 [size =\"20340736\"]\n  8 [size=\"83769344\", alpha=\"0.13\", expect_size=\"41884672\"] \n  8 -> 9 [size =\"41884672\"]\n  8 -> 13 [size =\"41884672\"]\n  9 [size=\"25817088\", alpha=\"0.10\", expect_size=\"12908544\"] \n  9 -> 16 [size =\"12908544\"]\n  10 [size=\"71264256\", alpha=\"0.18\", expect_size=\"35632128\"] \n  10 -> 15 [size =\"35632128\"]\n  11 [size=\"64716800\", alpha=\"0.05\", expect_size=\"32358400\"] \n  11 -> 14 [size =\"32358400\"]\n  12 [size=\"101980160\", alpha=\"0.02\", expect_size=\"50990080\"] \n  12 -> 14 [size =\"50990080\"]\n  13 [size=\"103831552\", alpha=\"0.12\", expect_size=\"51915776\"] \n  13 -> 14 [size =\"51915776\"]\n  14 [size=\"28667904\", alpha=\"0.01\", expect_size=\"14333952\"] \n  14 -> 18 [size =\"14333952\"]\n  14 -> 21 [size =\"14333952\"]\n  15 [size=\"75859968\", alpha=\"0.11\", expect_size=\"37929984\"] \n  15 -> 17 [size =\"37929984\"]\n  15 -> 19 [size =\"37929984\"]\n  15 -> 20 [size =\"37929984\"]\n  15 -> 21 [size =\"37929984\"]\n  16 [size=\"90843136\", alpha=\"0.18\", expect_size=\"45421568\"] \n  16 -> 17 [size =\"45421568\"]\n  16 -> 19 [size =\"45421568\"]\n  17 [size=\"50026496\", alpha=\"0.02\", expect_size=\"25013248\"] \n  18 [size=\"77955072\", alpha=\"0.16\", expect_size=\"38977536\"] \n  18 -> 24 [size =\"38977536\"]\n  19 [size=\"47110144\", alpha=\"0.10\", expect_size=\"23555072\"] \n  19 -> 24 [size =\"23555072\"]\n  20 [size=\"92268544\", alpha=\"0.01\", expect_size=\"46134272\"] \n  20 -> 23 [size =\"46134272\"]\n  20 -> 24 [size =\"46134272\"]\n  21 [size=\"84666368\", alpha=\"0.11\", expect_size=\"42333184\"] \n  21 -> 22 [size =\"42333184\"]\n  21 -> 23 [size =\"42333184\"]\n  22 [size=\"12187648\", alpha=\"0.07\", expect_size=\"6093824\"] \n  23 [size=\"23816192\", alpha=\"0.12\", expect_size=\"11908096\"] \n  23 -> 25 [size =\"11908096\"]\n  24 [size=\"80353280\", alpha=\"0.00\", expect_size=\"40176640\"] \n  25 [size=\"85278720\", alpha=\"0.02\", expect_size=\"42639360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47936000\", alpha=\"0.14\", expect_size=\"19174400\"] \n  1 -> 2 [size =\"19174400\"]\n  2 [size=\"69949440\", alpha=\"0.19\", expect_size=\"27979776\"] \n  2 -> 3 [size =\"27979776\"]\n  3 [size=\"23595520\", alpha=\"0.17\", expect_size=\"9438208\"] \n  3 -> 4 [size =\"9438208\"]\n  4 [size=\"97587200\", alpha=\"0.05\", expect_size=\"39034880\"] \n  4 -> 5 [size =\"39034880\"]\n  5 [size=\"57408000\", alpha=\"0.04\", expect_size=\"22963200\"] \n  5 -> 6 [size =\"22963200\"]\n  6 [size=\"65958400\", alpha=\"0.08\", expect_size=\"26383360\"] \n  6 -> 7 [size =\"26383360\"]\n  7 [size=\"105175040\", alpha=\"0.18\", expect_size=\"42070016\"] \n  7 -> 8 [size =\"42070016\"]\n  8 [size=\"121141760\", alpha=\"0.07\", expect_size=\"48456704\"] \n  8 -> 9 [size =\"48456704\"]\n  9 [size=\"109570560\", alpha=\"0.00\", expect_size=\"43828224\"] \n  9 -> 10 [size =\"43828224\"]\n  10 [size=\"25351680\", alpha=\"0.03\", expect_size=\"10140672\"] \n  10 -> 11 [size =\"10140672\"]\n  11 [size=\"31203840\", alpha=\"0.16\", expect_size=\"12481536\"] \n  11 -> 12 [size =\"12481536\"]\n  12 [size=\"115509760\", alpha=\"0.03\", expect_size=\"46203904\"] \n  12 -> 13 [size =\"46203904\"]\n  13 [size=\"108272640\", alpha=\"0.17\", expect_size=\"43309056\"] \n  13 -> 14 [size =\"43309056\"]\n  14 [size=\"91276800\", alpha=\"0.15\", expect_size=\"36510720\"] \n  14 -> 15 [size =\"36510720\"]\n  15 [size=\"120335360\", alpha=\"0.14\", expect_size=\"48134144\"] \n  15 -> 16 [size =\"48134144\"]\n  16 [size=\"23493120\", alpha=\"0.19\", expect_size=\"9397248\"] \n  16 -> 17 [size =\"9397248\"]\n  17 [size=\"71244800\", alpha=\"0.06\", expect_size=\"28497920\"] \n  17 -> 18 [size =\"28497920\"]\n  18 [size=\"56670720\", alpha=\"0.14\", expect_size=\"22668288\"] \n  18 -> 19 [size =\"22668288\"]\n  19 [size=\"100636160\", alpha=\"0.11\", expect_size=\"40254464\"] \n  19 -> 20 [size =\"40254464\"]\n  20 [size=\"103336960\", alpha=\"0.13\", expect_size=\"41334784\"] \n  20 -> 21 [size =\"41334784\"]\n  21 [size=\"119073280\", alpha=\"0.00\", expect_size=\"47629312\"] \n  21 -> 22 [size =\"47629312\"]\n  22 [size=\"93555200\", alpha=\"0.18\", expect_size=\"37422080\"] \n  22 -> 23 [size =\"37422080\"]\n  23 [size=\"111695360\", alpha=\"0.17\", expect_size=\"44678144\"] \n  23 -> 24 [size =\"44678144\"]\n  24 [size=\"93539840\", alpha=\"0.10\", expect_size=\"37415936\"] \n  24 -> 25 [size =\"37415936\"]\n  25 [size=\"62264320\", alpha=\"0.11\", expect_size=\"24905728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70998016\", alpha=\"0.15\", expect_size=\"35499008\"] \n  1 -> 6 [size =\"35499008\"]\n  1 -> 7 [size =\"35499008\"]\n  2 [size=\"40773632\", alpha=\"0.12\", expect_size=\"20386816\"] \n  3 [size=\"25843712\", alpha=\"0.01\", expect_size=\"12921856\"] \n  3 -> 5 [size =\"12921856\"]\n  4 [size=\"47863808\", alpha=\"0.15\", expect_size=\"23931904\"] \n  4 -> 6 [size =\"23931904\"]\n  4 -> 8 [size =\"23931904\"]\n  5 [size=\"84738048\", alpha=\"0.07\", expect_size=\"42369024\"] \n  5 -> 10 [size =\"42369024\"]\n  5 -> 11 [size =\"42369024\"]\n  5 -> 12 [size =\"42369024\"]\n  6 [size=\"66203648\", alpha=\"0.10\", expect_size=\"33101824\"] \n  6 -> 10 [size =\"33101824\"]\n  6 -> 11 [size =\"33101824\"]\n  6 -> 12 [size =\"33101824\"]\n  7 [size=\"31547392\", alpha=\"0.11\", expect_size=\"15773696\"] \n  7 -> 9 [size =\"15773696\"]\n  7 -> 10 [size =\"15773696\"]\n  7 -> 11 [size =\"15773696\"]\n  7 -> 12 [size =\"15773696\"]\n  8 [size=\"22773760\", alpha=\"0.03\", expect_size=\"11386880\"] \n  8 -> 11 [size =\"11386880\"]\n  8 -> 12 [size =\"11386880\"]\n  9 [size=\"99831808\", alpha=\"0.13\", expect_size=\"49915904\"] \n  9 -> 13 [size =\"49915904\"]\n  9 -> 14 [size =\"49915904\"]\n  9 -> 15 [size =\"49915904\"]\n  10 [size=\"29870080\", alpha=\"0.19\", expect_size=\"14935040\"] \n  10 -> 14 [size =\"14935040\"]\n  11 [size=\"64870400\", alpha=\"0.10\", expect_size=\"32435200\"] \n  11 -> 14 [size =\"32435200\"]\n  12 [size=\"39309312\", alpha=\"0.01\", expect_size=\"19654656\"] \n  12 -> 14 [size =\"19654656\"]\n  13 [size=\"97804288\", alpha=\"0.09\", expect_size=\"48902144\"] \n  13 -> 16 [size =\"48902144\"]\n  13 -> 17 [size =\"48902144\"]\n  13 -> 18 [size =\"48902144\"]\n  13 -> 19 [size =\"48902144\"]\n  14 [size=\"101232640\", alpha=\"0.19\", expect_size=\"50616320\"] \n  14 -> 17 [size =\"50616320\"]\n  14 -> 18 [size =\"50616320\"]\n  15 [size=\"79196160\", alpha=\"0.15\", expect_size=\"39598080\"] \n  15 -> 16 [size =\"39598080\"]\n  15 -> 17 [size =\"39598080\"]\n  15 -> 18 [size =\"39598080\"]\n  16 [size=\"19591168\", alpha=\"0.01\", expect_size=\"9795584\"] \n  16 -> 21 [size =\"9795584\"]\n  16 -> 22 [size =\"9795584\"]\n  17 [size=\"64651264\", alpha=\"0.02\", expect_size=\"32325632\"] \n  17 -> 20 [size =\"32325632\"]\n  17 -> 21 [size =\"32325632\"]\n  17 -> 22 [size =\"32325632\"]\n  18 [size=\"23902208\", alpha=\"0.01\", expect_size=\"11951104\"] \n  18 -> 21 [size =\"11951104\"]\n  18 -> 22 [size =\"11951104\"]\n  19 [size=\"35772416\", alpha=\"0.13\", expect_size=\"17886208\"] \n  19 -> 22 [size =\"17886208\"]\n  20 [size=\"96126976\", alpha=\"0.16\", expect_size=\"48063488\"] \n  20 -> 23 [size =\"48063488\"]\n  21 [size=\"92448768\", alpha=\"0.12\", expect_size=\"46224384\"] \n  21 -> 23 [size =\"46224384\"]\n  21 -> 24 [size =\"46224384\"]\n  21 -> 25 [size =\"46224384\"]\n  22 [size=\"44527616\", alpha=\"0.14\", expect_size=\"22263808\"] \n  22 -> 23 [size =\"22263808\"]\n  23 [size=\"47067136\", alpha=\"0.20\", expect_size=\"23533568\"] \n  24 [size=\"90871808\", alpha=\"0.13\", expect_size=\"45435904\"] \n  25 [size=\"87861248\", alpha=\"0.03\", expect_size=\"43930624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24223744\", alpha=\"0.17\", expect_size=\"12111872\"] \n  2 [size=\"91887616\", alpha=\"0.15\", expect_size=\"45943808\"] \n  2 -> 5 [size =\"45943808\"]\n  3 [size=\"97804288\", alpha=\"0.05\", expect_size=\"48902144\"] \n  3 -> 5 [size =\"48902144\"]\n  3 -> 6 [size =\"48902144\"]\n  4 [size=\"61272064\", alpha=\"0.12\", expect_size=\"30636032\"] \n  4 -> 6 [size =\"30636032\"]\n  4 -> 7 [size =\"30636032\"]\n  5 [size=\"97464320\", alpha=\"0.10\", expect_size=\"48732160\"] \n  5 -> 8 [size =\"48732160\"]\n  5 -> 9 [size =\"48732160\"]\n  5 -> 10 [size =\"48732160\"]\n  5 -> 11 [size =\"48732160\"]\n  6 [size=\"17430528\", alpha=\"0.14\", expect_size=\"8715264\"] \n  6 -> 9 [size =\"8715264\"]\n  6 -> 11 [size =\"8715264\"]\n  7 [size=\"54274048\", alpha=\"0.06\", expect_size=\"27137024\"] \n  7 -> 10 [size =\"27137024\"]\n  8 [size=\"19478528\", alpha=\"0.17\", expect_size=\"9739264\"] \n  8 -> 12 [size =\"9739264\"]\n  8 -> 13 [size =\"9739264\"]\n  9 [size=\"63719424\", alpha=\"0.05\", expect_size=\"31859712\"] \n  10 [size=\"103903232\", alpha=\"0.17\", expect_size=\"51951616\"] \n  11 [size=\"78788608\", alpha=\"0.15\", expect_size=\"39394304\"] \n  11 -> 12 [size =\"39394304\"]\n  11 -> 14 [size =\"39394304\"]\n  12 [size=\"63971328\", alpha=\"0.04\", expect_size=\"31985664\"] \n  12 -> 15 [size =\"31985664\"]\n  12 -> 16 [size =\"31985664\"]\n  12 -> 17 [size =\"31985664\"]\n  13 [size=\"42260480\", alpha=\"0.13\", expect_size=\"21130240\"] \n  13 -> 17 [size =\"21130240\"]\n  14 [size=\"67141632\", alpha=\"0.16\", expect_size=\"33570816\"] \n  14 -> 16 [size =\"33570816\"]\n  15 [size=\"30873600\", alpha=\"0.16\", expect_size=\"15436800\"] \n  16 [size=\"78274560\", alpha=\"0.15\", expect_size=\"39137280\"] \n  16 -> 20 [size =\"39137280\"]\n  17 [size=\"48951296\", alpha=\"0.14\", expect_size=\"24475648\"] \n  17 -> 18 [size =\"24475648\"]\n  17 -> 19 [size =\"24475648\"]\n  18 [size=\"79548416\", alpha=\"0.11\", expect_size=\"39774208\"] \n  18 -> 22 [size =\"39774208\"]\n  19 [size=\"66263040\", alpha=\"0.01\", expect_size=\"33131520\"] \n  19 -> 21 [size =\"33131520\"]\n  19 -> 23 [size =\"33131520\"]\n  20 [size=\"90822656\", alpha=\"0.16\", expect_size=\"45411328\"] \n  20 -> 22 [size =\"45411328\"]\n  20 -> 23 [size =\"45411328\"]\n  20 -> 24 [size =\"45411328\"]\n  21 [size=\"77203456\", alpha=\"0.14\", expect_size=\"38601728\"] \n  22 [size=\"54298624\", alpha=\"0.10\", expect_size=\"27149312\"] \n  22 -> 25 [size =\"27149312\"]\n  23 [size=\"71616512\", alpha=\"0.04\", expect_size=\"35808256\"] \n  24 [size=\"37990400\", alpha=\"0.08\", expect_size=\"18995200\"] \n  24 -> 25 [size =\"18995200\"]\n  25 [size=\"19331072\", alpha=\"0.11\", expect_size=\"9665536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72787968\", alpha=\"0.18\", expect_size=\"36393984\"] \n  1 -> 2 [size =\"36393984\"]\n  2 [size=\"59893760\", alpha=\"0.12\", expect_size=\"29946880\"] \n  2 -> 3 [size =\"29946880\"]\n  3 [size=\"36685824\", alpha=\"0.17\", expect_size=\"18342912\"] \n  3 -> 4 [size =\"18342912\"]\n  4 [size=\"40837120\", alpha=\"0.01\", expect_size=\"20418560\"] \n  4 -> 5 [size =\"20418560\"]\n  5 [size=\"71118848\", alpha=\"0.07\", expect_size=\"35559424\"] \n  5 -> 6 [size =\"35559424\"]\n  6 [size=\"31016960\", alpha=\"0.00\", expect_size=\"15508480\"] \n  6 -> 7 [size =\"15508480\"]\n  7 [size=\"53090304\", alpha=\"0.19\", expect_size=\"26545152\"] \n  7 -> 8 [size =\"26545152\"]\n  8 [size=\"42305536\", alpha=\"0.00\", expect_size=\"21152768\"] \n  8 -> 9 [size =\"21152768\"]\n  9 [size=\"47292416\", alpha=\"0.02\", expect_size=\"23646208\"] \n  9 -> 10 [size =\"23646208\"]\n  10 [size=\"56913920\", alpha=\"0.09\", expect_size=\"28456960\"] \n  10 -> 11 [size =\"28456960\"]\n  11 [size=\"49020928\", alpha=\"0.07\", expect_size=\"24510464\"] \n  11 -> 12 [size =\"24510464\"]\n  12 [size=\"37255168\", alpha=\"0.01\", expect_size=\"18627584\"] \n  12 -> 13 [size =\"18627584\"]\n  13 [size=\"95823872\", alpha=\"0.02\", expect_size=\"47911936\"] \n  13 -> 14 [size =\"47911936\"]\n  14 [size=\"81815552\", alpha=\"0.09\", expect_size=\"40907776\"] \n  14 -> 15 [size =\"40907776\"]\n  15 [size=\"87889920\", alpha=\"0.03\", expect_size=\"43944960\"] \n  15 -> 16 [size =\"43944960\"]\n  16 [size=\"24399872\", alpha=\"0.13\", expect_size=\"12199936\"] \n  16 -> 17 [size =\"12199936\"]\n  17 [size=\"26400768\", alpha=\"0.02\", expect_size=\"13200384\"] \n  17 -> 18 [size =\"13200384\"]\n  18 [size=\"20629504\", alpha=\"0.13\", expect_size=\"10314752\"] \n  18 -> 19 [size =\"10314752\"]\n  19 [size=\"22194176\", alpha=\"0.13\", expect_size=\"11097088\"] \n  19 -> 20 [size =\"11097088\"]\n  20 [size=\"31266816\", alpha=\"0.11\", expect_size=\"15633408\"] \n  20 -> 21 [size =\"15633408\"]\n  21 [size=\"71628800\", alpha=\"0.03\", expect_size=\"35814400\"] \n  21 -> 22 [size =\"35814400\"]\n  22 [size=\"102758400\", alpha=\"0.05\", expect_size=\"51379200\"] \n  22 -> 23 [size =\"51379200\"]\n  23 [size=\"15450112\", alpha=\"0.13\", expect_size=\"7725056\"] \n  23 -> 24 [size =\"7725056\"]\n  24 [size=\"26652672\", alpha=\"0.07\", expect_size=\"13326336\"] \n  24 -> 25 [size =\"13326336\"]\n  25 [size=\"70152192\", alpha=\"0.14\", expect_size=\"35076096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73076736\", alpha=\"0.11\", expect_size=\"36538368\"] \n  1 -> 9 [size =\"36538368\"]\n  1 -> 12 [size =\"36538368\"]\n  2 [size=\"49696768\", alpha=\"0.15\", expect_size=\"24848384\"] \n  2 -> 9 [size =\"24848384\"]\n  2 -> 13 [size =\"24848384\"]\n  2 -> 14 [size =\"24848384\"]\n  3 [size=\"46592000\", alpha=\"0.11\", expect_size=\"23296000\"] \n  3 -> 12 [size =\"23296000\"]\n  3 -> 14 [size =\"23296000\"]\n  3 -> 14 [size =\"23296000\"]\n  4 [size=\"55695360\", alpha=\"0.06\", expect_size=\"27847680\"] \n  4 -> 11 [size =\"27847680\"]\n  4 -> 13 [size =\"27847680\"]\n  5 [size=\"56954880\", alpha=\"0.09\", expect_size=\"28477440\"] \n  5 -> 10 [size =\"28477440\"]\n  5 -> 11 [size =\"28477440\"]\n  5 -> 12 [size =\"28477440\"]\n  6 [size=\"82749440\", alpha=\"0.04\", expect_size=\"41374720\"] \n  6 -> 10 [size =\"41374720\"]\n  6 -> 14 [size =\"41374720\"]\n  7 [size=\"40364032\", alpha=\"0.07\", expect_size=\"20182016\"] \n  7 -> 10 [size =\"20182016\"]\n  8 [size=\"20858880\", alpha=\"0.05\", expect_size=\"10429440\"] \n  8 -> 10 [size =\"10429440\"]\n  8 -> 12 [size =\"10429440\"]\n  9 [size=\"29184000\", alpha=\"0.07\", expect_size=\"14592000\"] \n  9 -> 18 [size =\"14592000\"]\n  9 -> 21 [size =\"14592000\"]\n  9 -> 22 [size =\"14592000\"]\n  10 [size=\"73426944\", alpha=\"0.13\", expect_size=\"36713472\"] \n  10 -> 15 [size =\"36713472\"]\n  10 -> 16 [size =\"36713472\"]\n  10 -> 21 [size =\"36713472\"]\n  10 -> 22 [size =\"36713472\"]\n  11 [size=\"90574848\", alpha=\"0.06\", expect_size=\"45287424\"] \n  11 -> 16 [size =\"45287424\"]\n  11 -> 17 [size =\"45287424\"]\n  11 -> 20 [size =\"45287424\"]\n  11 -> 21 [size =\"45287424\"]\n  12 [size=\"47144960\", alpha=\"0.14\", expect_size=\"23572480\"] \n  12 -> 16 [size =\"23572480\"]\n  12 -> 19 [size =\"23572480\"]\n  12 -> 20 [size =\"23572480\"]\n  13 [size=\"22663168\", alpha=\"0.04\", expect_size=\"11331584\"] \n  13 -> 19 [size =\"11331584\"]\n  13 -> 20 [size =\"11331584\"]\n  14 [size=\"72847360\", alpha=\"0.02\", expect_size=\"36423680\"] \n  14 -> 19 [size =\"36423680\"]\n  15 [size=\"101074944\", alpha=\"0.04\", expect_size=\"50537472\"] \n  15 -> 25 [size =\"50537472\"]\n  16 [size=\"47480832\", alpha=\"0.08\", expect_size=\"23740416\"] \n  16 -> 24 [size =\"23740416\"]\n  16 -> 25 [size =\"23740416\"]\n  17 [size=\"66504704\", alpha=\"0.19\", expect_size=\"33252352\"] \n  17 -> 23 [size =\"33252352\"]\n  18 [size=\"100921344\", alpha=\"0.15\", expect_size=\"50460672\"] \n  19 [size=\"30420992\", alpha=\"0.03\", expect_size=\"15210496\"] \n  19 -> 23 [size =\"15210496\"]\n  20 [size=\"62148608\", alpha=\"0.12\", expect_size=\"31074304\"] \n  20 -> 23 [size =\"31074304\"]\n  20 -> 25 [size =\"31074304\"]\n  21 [size=\"30879744\", alpha=\"0.15\", expect_size=\"15439872\"] \n  21 -> 23 [size =\"15439872\"]\n  22 [size=\"60944384\", alpha=\"0.06\", expect_size=\"30472192\"] \n  23 [size=\"31406080\", alpha=\"0.05\", expect_size=\"15703040\"] \n  24 [size=\"50122752\", alpha=\"0.13\", expect_size=\"25061376\"] \n  25 [size=\"58761216\", alpha=\"0.11\", expect_size=\"29380608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78638080\", alpha=\"0.13\", expect_size=\"31455232\"] \n  1 -> 2 [size =\"31455232\"]\n  2 [size=\"115514880\", alpha=\"0.11\", expect_size=\"46205952\"] \n  2 -> 3 [size =\"46205952\"]\n  3 [size=\"78138880\", alpha=\"0.10\", expect_size=\"31255552\"] \n  3 -> 4 [size =\"31255552\"]\n  4 [size=\"115781120\", alpha=\"0.12\", expect_size=\"46312448\"] \n  4 -> 5 [size =\"46312448\"]\n  5 [size=\"28318720\", alpha=\"0.11\", expect_size=\"11327488\"] \n  5 -> 6 [size =\"11327488\"]\n  6 [size=\"17241600\", alpha=\"0.08\", expect_size=\"6896640\"] \n  6 -> 7 [size =\"6896640\"]\n  7 [size=\"115141120\", alpha=\"0.15\", expect_size=\"46056448\"] \n  7 -> 8 [size =\"46056448\"]\n  8 [size=\"81292800\", alpha=\"0.17\", expect_size=\"32517120\"] \n  8 -> 9 [size =\"32517120\"]\n  9 [size=\"59153920\", alpha=\"0.04\", expect_size=\"23661568\"] \n  9 -> 10 [size =\"23661568\"]\n  10 [size=\"94863360\", alpha=\"0.00\", expect_size=\"37945344\"] \n  10 -> 11 [size =\"37945344\"]\n  11 [size=\"14067200\", alpha=\"0.04\", expect_size=\"5626880\"] \n  11 -> 12 [size =\"5626880\"]\n  12 [size=\"88778240\", alpha=\"0.04\", expect_size=\"35511296\"] \n  12 -> 13 [size =\"35511296\"]\n  13 [size=\"36326400\", alpha=\"0.02\", expect_size=\"14530560\"] \n  13 -> 14 [size =\"14530560\"]\n  14 [size=\"94156800\", alpha=\"0.01\", expect_size=\"37662720\"] \n  14 -> 15 [size =\"37662720\"]\n  15 [size=\"44405760\", alpha=\"0.09\", expect_size=\"17762304\"] \n  15 -> 16 [size =\"17762304\"]\n  16 [size=\"109670400\", alpha=\"0.16\", expect_size=\"43868160\"] \n  16 -> 17 [size =\"43868160\"]\n  17 [size=\"36884480\", alpha=\"0.14\", expect_size=\"14753792\"] \n  17 -> 18 [size =\"14753792\"]\n  18 [size=\"125688320\", alpha=\"0.09\", expect_size=\"50275328\"] \n  18 -> 19 [size =\"50275328\"]\n  19 [size=\"110405120\", alpha=\"0.16\", expect_size=\"44162048\"] \n  19 -> 20 [size =\"44162048\"]\n  20 [size=\"18268160\", alpha=\"0.07\", expect_size=\"7307264\"] \n  20 -> 21 [size =\"7307264\"]\n  21 [size=\"19496960\", alpha=\"0.09\", expect_size=\"7798784\"] \n  21 -> 22 [size =\"7798784\"]\n  22 [size=\"45731840\", alpha=\"0.08\", expect_size=\"18292736\"] \n  22 -> 23 [size =\"18292736\"]\n  23 [size=\"67898880\", alpha=\"0.19\", expect_size=\"27159552\"] \n  23 -> 24 [size =\"27159552\"]\n  24 [size=\"79467520\", alpha=\"0.07\", expect_size=\"31787008\"] \n  24 -> 25 [size =\"31787008\"]\n  25 [size=\"83604480\", alpha=\"0.17\", expect_size=\"33441792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67404800\", alpha=\"0.11\", expect_size=\"26961920\"] \n  1 -> 12 [size =\"26961920\"]\n  1 -> 12 [size =\"26961920\"]\n  1 -> 14 [size =\"26961920\"]\n  1 -> 15 [size =\"26961920\"]\n  1 -> 16 [size =\"26961920\"]\n  1 -> 17 [size =\"26961920\"]\n  2 [size=\"69921280\", alpha=\"0.02\", expect_size=\"27968512\"] \n  2 -> 10 [size =\"27968512\"]\n  2 -> 11 [size =\"27968512\"]\n  2 -> 16 [size =\"27968512\"]\n  2 -> 17 [size =\"27968512\"]\n  3 [size=\"81108480\", alpha=\"0.03\", expect_size=\"32443392\"] \n  3 -> 9 [size =\"32443392\"]\n  3 -> 11 [size =\"32443392\"]\n  3 -> 13 [size =\"32443392\"]\n  3 -> 14 [size =\"32443392\"]\n  3 -> 16 [size =\"32443392\"]\n  4 [size=\"28858880\", alpha=\"0.17\", expect_size=\"11543552\"] \n  4 -> 12 [size =\"11543552\"]\n  4 -> 13 [size =\"11543552\"]\n  4 -> 14 [size =\"11543552\"]\n  5 [size=\"28833280\", alpha=\"0.13\", expect_size=\"11533312\"] \n  5 -> 10 [size =\"11533312\"]\n  6 [size=\"95646720\", alpha=\"0.20\", expect_size=\"38258688\"] \n  6 -> 9 [size =\"38258688\"]\n  6 -> 12 [size =\"38258688\"]\n  6 -> 13 [size =\"38258688\"]\n  6 -> 16 [size =\"38258688\"]\n  6 -> 17 [size =\"38258688\"]\n  7 [size=\"120693760\", alpha=\"0.01\", expect_size=\"48277504\"] \n  7 -> 12 [size =\"48277504\"]\n  7 -> 14 [size =\"48277504\"]\n  7 -> 16 [size =\"48277504\"]\n  7 -> 17 [size =\"48277504\"]\n  8 [size=\"45547520\", alpha=\"0.03\", expect_size=\"18219008\"] \n  8 -> 10 [size =\"18219008\"]\n  8 -> 12 [size =\"18219008\"]\n  8 -> 13 [size =\"18219008\"]\n  8 -> 14 [size =\"18219008\"]\n  8 -> 15 [size =\"18219008\"]\n  8 -> 17 [size =\"18219008\"]\n  9 [size=\"16040960\", alpha=\"0.12\", expect_size=\"6416384\"] \n  9 -> 21 [size =\"6416384\"]\n  9 -> 25 [size =\"6416384\"]\n  10 [size=\"47037440\", alpha=\"0.07\", expect_size=\"18814976\"] \n  10 -> 21 [size =\"18814976\"]\n  10 -> 24 [size =\"18814976\"]\n  10 -> 25 [size =\"18814976\"]\n  11 [size=\"51729920\", alpha=\"0.05\", expect_size=\"20691968\"] \n  11 -> 19 [size =\"20691968\"]\n  12 [size=\"114155520\", alpha=\"0.17\", expect_size=\"45662208\"] \n  12 -> 24 [size =\"45662208\"]\n  12 -> 25 [size =\"45662208\"]\n  13 [size=\"124241920\", alpha=\"0.15\", expect_size=\"49696768\"] \n  13 -> 18 [size =\"49696768\"]\n  13 -> 20 [size =\"49696768\"]\n  13 -> 23 [size =\"49696768\"]\n  13 -> 24 [size =\"49696768\"]\n  14 [size=\"24332800\", alpha=\"0.19\", expect_size=\"9733120\"] \n  14 -> 20 [size =\"9733120\"]\n  14 -> 22 [size =\"9733120\"]\n  14 -> 25 [size =\"9733120\"]\n  15 [size=\"124915200\", alpha=\"0.03\", expect_size=\"49966080\"] \n  16 [size=\"83148800\", alpha=\"0.11\", expect_size=\"33259520\"] \n  16 -> 23 [size =\"33259520\"]\n  17 [size=\"82344960\", alpha=\"0.04\", expect_size=\"32937984\"] \n  17 -> 25 [size =\"32937984\"]\n  18 [size=\"86364160\", alpha=\"0.14\", expect_size=\"34545664\"] \n  19 [size=\"101975040\", alpha=\"0.15\", expect_size=\"40790016\"] \n  20 [size=\"54169600\", alpha=\"0.05\", expect_size=\"21667840\"] \n  21 [size=\"97400320\", alpha=\"0.03\", expect_size=\"38960128\"] \n  22 [size=\"128381440\", alpha=\"0.11\", expect_size=\"51352576\"] \n  23 [size=\"111232000\", alpha=\"0.11\", expect_size=\"44492800\"] \n  24 [size=\"84213760\", alpha=\"0.13\", expect_size=\"33685504\"] \n  25 [size=\"78612480\", alpha=\"0.18\", expect_size=\"31444992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44776960\", alpha=\"0.14\", expect_size=\"17910784\"] \n  1 -> 10 [size =\"17910784\"]\n  1 -> 13 [size =\"17910784\"]\n  2 [size=\"35164160\", alpha=\"0.05\", expect_size=\"14065664\"] \n  2 -> 10 [size =\"14065664\"]\n  3 [size=\"124119040\", alpha=\"0.09\", expect_size=\"49647616\"] \n  3 -> 10 [size =\"49647616\"]\n  3 -> 13 [size =\"49647616\"]\n  4 [size=\"47526400\", alpha=\"0.11\", expect_size=\"19010560\"] \n  4 -> 11 [size =\"19010560\"]\n  4 -> 13 [size =\"19010560\"]\n  5 [size=\"23088640\", alpha=\"0.12\", expect_size=\"9235456\"] \n  5 -> 10 [size =\"9235456\"]\n  5 -> 14 [size =\"9235456\"]\n  6 [size=\"41410560\", alpha=\"0.01\", expect_size=\"16564224\"] \n  6 -> 10 [size =\"16564224\"]\n  6 -> 15 [size =\"16564224\"]\n  7 [size=\"17507840\", alpha=\"0.15\", expect_size=\"7003136\"] \n  8 [size=\"129930240\", alpha=\"0.09\", expect_size=\"51972096\"] \n  8 -> 10 [size =\"51972096\"]\n  8 -> 12 [size =\"51972096\"]\n  9 [size=\"102599680\", alpha=\"0.11\", expect_size=\"41039872\"] \n  9 -> 10 [size =\"41039872\"]\n  9 -> 13 [size =\"41039872\"]\n  9 -> 14 [size =\"41039872\"]\n  10 [size=\"57743360\", alpha=\"0.14\", expect_size=\"23097344\"] \n  10 -> 19 [size =\"23097344\"]\n  11 [size=\"69895680\", alpha=\"0.13\", expect_size=\"27958272\"] \n  11 -> 16 [size =\"27958272\"]\n  11 -> 17 [size =\"27958272\"]\n  12 [size=\"35287040\", alpha=\"0.17\", expect_size=\"14114816\"] \n  12 -> 18 [size =\"14114816\"]\n  12 -> 20 [size =\"14114816\"]\n  12 -> 22 [size =\"14114816\"]\n  13 [size=\"64691200\", alpha=\"0.07\", expect_size=\"25876480\"] \n  13 -> 18 [size =\"25876480\"]\n  13 -> 21 [size =\"25876480\"]\n  14 [size=\"116633600\", alpha=\"0.04\", expect_size=\"46653440\"] \n  14 -> 22 [size =\"46653440\"]\n  15 [size=\"64440320\", alpha=\"0.07\", expect_size=\"25776128\"] \n  15 -> 17 [size =\"25776128\"]\n  15 -> 21 [size =\"25776128\"]\n  15 -> 22 [size =\"25776128\"]\n  16 [size=\"16337920\", alpha=\"0.00\", expect_size=\"6535168\"] \n  16 -> 24 [size =\"6535168\"]\n  17 [size=\"19632640\", alpha=\"0.06\", expect_size=\"7853056\"] \n  17 -> 24 [size =\"7853056\"]\n  17 -> 25 [size =\"7853056\"]\n  18 [size=\"107315200\", alpha=\"0.07\", expect_size=\"42926080\"] \n  18 -> 23 [size =\"42926080\"]\n  18 -> 25 [size =\"42926080\"]\n  19 [size=\"39718400\", alpha=\"0.12\", expect_size=\"15887360\"] \n  19 -> 24 [size =\"15887360\"]\n  20 [size=\"102625280\", alpha=\"0.19\", expect_size=\"41050112\"] \n  20 -> 23 [size =\"41050112\"]\n  21 [size=\"65034240\", alpha=\"0.11\", expect_size=\"26013696\"] \n  21 -> 23 [size =\"26013696\"]\n  21 -> 24 [size =\"26013696\"]\n  22 [size=\"24445440\", alpha=\"0.07\", expect_size=\"9778176\"] \n  23 [size=\"125544960\", alpha=\"0.02\", expect_size=\"50217984\"] \n  24 [size=\"47636480\", alpha=\"0.03\", expect_size=\"19054592\"] \n  25 [size=\"69155840\", alpha=\"0.05\", expect_size=\"27662336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100876800\", alpha=\"0.18\", expect_size=\"40350720\"] \n  1 -> 11 [size =\"40350720\"]\n  1 -> 12 [size =\"40350720\"]\n  1 -> 14 [size =\"40350720\"]\n  1 -> 16 [size =\"40350720\"]\n  2 [size=\"63782400\", alpha=\"0.16\", expect_size=\"25512960\"] \n  2 -> 13 [size =\"25512960\"]\n  2 -> 17 [size =\"25512960\"]\n  3 [size=\"62615040\", alpha=\"0.06\", expect_size=\"25046016\"] \n  3 -> 16 [size =\"25046016\"]\n  4 [size=\"41907200\", alpha=\"0.17\", expect_size=\"16762880\"] \n  4 -> 13 [size =\"16762880\"]\n  4 -> 14 [size =\"16762880\"]\n  4 -> 15 [size =\"16762880\"]\n  4 -> 17 [size =\"16762880\"]\n  4 -> 18 [size =\"16762880\"]\n  5 [size=\"69519360\", alpha=\"0.04\", expect_size=\"27807744\"] \n  5 -> 13 [size =\"27807744\"]\n  5 -> 14 [size =\"27807744\"]\n  5 -> 18 [size =\"27807744\"]\n  6 [size=\"69765120\", alpha=\"0.16\", expect_size=\"27906048\"] \n  6 -> 11 [size =\"27906048\"]\n  6 -> 15 [size =\"27906048\"]\n  6 -> 17 [size =\"27906048\"]\n  7 [size=\"88401920\", alpha=\"0.11\", expect_size=\"35360768\"] \n  7 -> 15 [size =\"35360768\"]\n  8 [size=\"37245440\", alpha=\"0.10\", expect_size=\"14898176\"] \n  8 -> 12 [size =\"14898176\"]\n  8 -> 15 [size =\"14898176\"]\n  8 -> 16 [size =\"14898176\"]\n  9 [size=\"50895360\", alpha=\"0.07\", expect_size=\"20358144\"] \n  9 -> 12 [size =\"20358144\"]\n  9 -> 13 [size =\"20358144\"]\n  9 -> 14 [size =\"20358144\"]\n  10 [size=\"103690240\", alpha=\"0.16\", expect_size=\"41476096\"] \n  10 -> 14 [size =\"41476096\"]\n  10 -> 15 [size =\"41476096\"]\n  10 -> 16 [size =\"41476096\"]\n  11 [size=\"15631360\", alpha=\"0.09\", expect_size=\"6252544\"] \n  11 -> 19 [size =\"6252544\"]\n  11 -> 22 [size =\"6252544\"]\n  12 [size=\"123729920\", alpha=\"0.04\", expect_size=\"49491968\"] \n  13 [size=\"101578240\", alpha=\"0.03\", expect_size=\"40631296\"] \n  14 [size=\"19765760\", alpha=\"0.11\", expect_size=\"7906304\"] \n  14 -> 21 [size =\"7906304\"]\n  14 -> 22 [size =\"7906304\"]\n  15 [size=\"117224960\", alpha=\"0.10\", expect_size=\"46889984\"] \n  15 -> 20 [size =\"46889984\"]\n  15 -> 21 [size =\"46889984\"]\n  15 -> 22 [size =\"46889984\"]\n  15 -> 24 [size =\"46889984\"]\n  15 -> 25 [size =\"46889984\"]\n  16 [size=\"24238080\", alpha=\"0.02\", expect_size=\"9695232\"] \n  16 -> 20 [size =\"9695232\"]\n  16 -> 22 [size =\"9695232\"]\n  16 -> 23 [size =\"9695232\"]\n  16 -> 25 [size =\"9695232\"]\n  17 [size=\"117813760\", alpha=\"0.11\", expect_size=\"47125504\"] \n  17 -> 19 [size =\"47125504\"]\n  18 [size=\"62540800\", alpha=\"0.10\", expect_size=\"25016320\"] \n  18 -> 20 [size =\"25016320\"]\n  18 -> 25 [size =\"25016320\"]\n  19 [size=\"119989760\", alpha=\"0.08\", expect_size=\"47995904\"] \n  20 [size=\"45550080\", alpha=\"0.04\", expect_size=\"18220032\"] \n  21 [size=\"21580800\", alpha=\"0.15\", expect_size=\"8632320\"] \n  22 [size=\"72734720\", alpha=\"0.14\", expect_size=\"29093888\"] \n  23 [size=\"97638400\", alpha=\"0.01\", expect_size=\"39055360\"] \n  24 [size=\"117893120\", alpha=\"0.14\", expect_size=\"47157248\"] \n  25 [size=\"66913280\", alpha=\"0.16\", expect_size=\"26765312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109821440\", alpha=\"0.12\", expect_size=\"43928576\"] \n  1 -> 2 [size =\"43928576\"]\n  1 -> 3 [size =\"43928576\"]\n  2 [size=\"126195200\", alpha=\"0.12\", expect_size=\"50478080\"] \n  2 -> 4 [size =\"50478080\"]\n  3 [size=\"102691840\", alpha=\"0.03\", expect_size=\"41076736\"] \n  3 -> 4 [size =\"41076736\"]\n  4 [size=\"66529280\", alpha=\"0.19\", expect_size=\"26611712\"] \n  4 -> 5 [size =\"26611712\"]\n  5 [size=\"21189120\", alpha=\"0.16\", expect_size=\"8475648\"] \n  5 -> 6 [size =\"8475648\"]\n  5 -> 7 [size =\"8475648\"]\n  6 [size=\"54133760\", alpha=\"0.12\", expect_size=\"21653504\"] \n  6 -> 8 [size =\"21653504\"]\n  7 [size=\"29457920\", alpha=\"0.06\", expect_size=\"11783168\"] \n  7 -> 8 [size =\"11783168\"]\n  7 -> 9 [size =\"11783168\"]\n  8 [size=\"67609600\", alpha=\"0.01\", expect_size=\"27043840\"] \n  8 -> 10 [size =\"27043840\"]\n  9 [size=\"106982400\", alpha=\"0.16\", expect_size=\"42792960\"] \n  10 [size=\"17861120\", alpha=\"0.17\", expect_size=\"7144448\"] \n  10 -> 11 [size =\"7144448\"]\n  10 -> 12 [size =\"7144448\"]\n  11 [size=\"118289920\", alpha=\"0.19\", expect_size=\"47315968\"] \n  11 -> 13 [size =\"47315968\"]\n  12 [size=\"71562240\", alpha=\"0.09\", expect_size=\"28624896\"] \n  12 -> 13 [size =\"28624896\"]\n  13 [size=\"25889280\", alpha=\"0.09\", expect_size=\"10355712\"] \n  13 -> 14 [size =\"10355712\"]\n  14 [size=\"42385920\", alpha=\"0.08\", expect_size=\"16954368\"] \n  14 -> 15 [size =\"16954368\"]\n  14 -> 16 [size =\"16954368\"]\n  15 [size=\"34913280\", alpha=\"0.15\", expect_size=\"13965312\"] \n  15 -> 17 [size =\"13965312\"]\n  16 [size=\"13352960\", alpha=\"0.11\", expect_size=\"5341184\"] \n  16 -> 17 [size =\"5341184\"]\n  17 [size=\"83210240\", alpha=\"0.11\", expect_size=\"33284096\"] \n  17 -> 18 [size =\"33284096\"]\n  18 [size=\"116602880\", alpha=\"0.12\", expect_size=\"46641152\"] \n  18 -> 19 [size =\"46641152\"]\n  18 -> 20 [size =\"46641152\"]\n  19 [size=\"121707520\", alpha=\"0.13\", expect_size=\"48683008\"] \n  19 -> 21 [size =\"48683008\"]\n  20 [size=\"100853760\", alpha=\"0.04\", expect_size=\"40341504\"] \n  20 -> 21 [size =\"40341504\"]\n  21 [size=\"83504640\", alpha=\"0.11\", expect_size=\"33401856\"] \n  21 -> 22 [size =\"33401856\"]\n  22 [size=\"78440960\", alpha=\"0.18\", expect_size=\"31376384\"] \n  22 -> 23 [size =\"31376384\"]\n  23 [size=\"13811200\", alpha=\"0.19\", expect_size=\"5524480\"] \n  23 -> 24 [size =\"5524480\"]\n  23 -> 25 [size =\"5524480\"]\n  24 [size=\"67141120\", alpha=\"0.10\", expect_size=\"26856448\"] \n  25 [size=\"111805440\", alpha=\"0.02\", expect_size=\"44722176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81192960\", alpha=\"0.04\", expect_size=\"24357888\"] \n  1 -> 2 [size =\"24357888\"]\n  2 [size=\"115896320\", alpha=\"0.20\", expect_size=\"34768896\"] \n  2 -> 3 [size =\"34768896\"]\n  3 [size=\"124146347\", alpha=\"0.07\", expect_size=\"37243904\"] \n  3 -> 4 [size =\"37243904\"]\n  4 [size=\"27009707\", alpha=\"0.04\", expect_size=\"8102912\"] \n  4 -> 5 [size =\"8102912\"]\n  5 [size=\"129150293\", alpha=\"0.13\", expect_size=\"38745088\"] \n  5 -> 6 [size =\"38745088\"]\n  6 [size=\"142735360\", alpha=\"0.15\", expect_size=\"42820608\"] \n  6 -> 7 [size =\"42820608\"]\n  7 [size=\"70942720\", alpha=\"0.01\", expect_size=\"21282816\"] \n  7 -> 8 [size =\"21282816\"]\n  8 [size=\"132860587\", alpha=\"0.06\", expect_size=\"39858176\"] \n  8 -> 9 [size =\"39858176\"]\n  9 [size=\"111199573\", alpha=\"0.15\", expect_size=\"33359872\"] \n  9 -> 10 [size =\"33359872\"]\n  10 [size=\"70543360\", alpha=\"0.00\", expect_size=\"21163008\"] \n  10 -> 11 [size =\"21163008\"]\n  11 [size=\"173987840\", alpha=\"0.08\", expect_size=\"52196352\"] \n  11 -> 12 [size =\"52196352\"]\n  12 [size=\"48807253\", alpha=\"0.08\", expect_size=\"14642176\"] \n  12 -> 13 [size =\"14642176\"]\n  13 [size=\"47462400\", alpha=\"0.03\", expect_size=\"14238720\"] \n  13 -> 14 [size =\"14238720\"]\n  14 [size=\"102314667\", alpha=\"0.18\", expect_size=\"30694400\"] \n  14 -> 15 [size =\"30694400\"]\n  15 [size=\"134557013\", alpha=\"0.10\", expect_size=\"40367104\"] \n  15 -> 16 [size =\"40367104\"]\n  16 [size=\"75758933\", alpha=\"0.02\", expect_size=\"22727680\"] \n  16 -> 17 [size =\"22727680\"]\n  17 [size=\"37096107\", alpha=\"0.04\", expect_size=\"11128832\"] \n  17 -> 18 [size =\"11128832\"]\n  18 [size=\"46687573\", alpha=\"0.02\", expect_size=\"14006272\"] \n  18 -> 19 [size =\"14006272\"]\n  19 [size=\"93600427\", alpha=\"0.07\", expect_size=\"28080128\"] \n  19 -> 20 [size =\"28080128\"]\n  20 [size=\"51578880\", alpha=\"0.20\", expect_size=\"15473664\"] \n  20 -> 21 [size =\"15473664\"]\n  21 [size=\"51981653\", alpha=\"0.01\", expect_size=\"15594496\"] \n  21 -> 22 [size =\"15594496\"]\n  22 [size=\"115616427\", alpha=\"0.14\", expect_size=\"34684928\"] \n  22 -> 23 [size =\"34684928\"]\n  23 [size=\"20596053\", alpha=\"0.01\", expect_size=\"6178816\"] \n  23 -> 24 [size =\"6178816\"]\n  24 [size=\"42663253\", alpha=\"0.09\", expect_size=\"12798976\"] \n  24 -> 25 [size =\"12798976\"]\n  25 [size=\"25115307\", alpha=\"0.11\", expect_size=\"7534592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92702720\", alpha=\"0.11\", expect_size=\"46351360\"] \n  1 -> 7 [size =\"46351360\"]\n  1 -> 8 [size =\"46351360\"]\n  2 [size=\"81766400\", alpha=\"0.09\", expect_size=\"40883200\"] \n  2 -> 6 [size =\"40883200\"]\n  2 -> 9 [size =\"40883200\"]\n  3 [size=\"90279936\", alpha=\"0.06\", expect_size=\"45139968\"] \n  3 -> 6 [size =\"45139968\"]\n  4 [size=\"39921664\", alpha=\"0.05\", expect_size=\"19960832\"] \n  5 [size=\"81004544\", alpha=\"0.01\", expect_size=\"40502272\"] \n  5 -> 7 [size =\"40502272\"]\n  6 [size=\"43304960\", alpha=\"0.00\", expect_size=\"21652480\"] \n  6 -> 10 [size =\"21652480\"]\n  6 -> 11 [size =\"21652480\"]\n  6 -> 12 [size =\"21652480\"]\n  6 -> 14 [size =\"21652480\"]\n  7 [size=\"68395008\", alpha=\"0.16\", expect_size=\"34197504\"] \n  7 -> 13 [size =\"34197504\"]\n  8 [size=\"19023872\", alpha=\"0.02\", expect_size=\"9511936\"] \n  8 -> 10 [size =\"9511936\"]\n  8 -> 14 [size =\"9511936\"]\n  9 [size=\"30957568\", alpha=\"0.14\", expect_size=\"15478784\"] \n  10 [size=\"27183104\", alpha=\"0.11\", expect_size=\"13591552\"] \n  10 -> 15 [size =\"13591552\"]\n  10 -> 18 [size =\"13591552\"]\n  11 [size=\"102172672\", alpha=\"0.10\", expect_size=\"51086336\"] \n  11 -> 15 [size =\"51086336\"]\n  11 -> 17 [size =\"51086336\"]\n  11 -> 18 [size =\"51086336\"]\n  12 [size=\"57634816\", alpha=\"0.20\", expect_size=\"28817408\"] \n  13 [size=\"99784704\", alpha=\"0.02\", expect_size=\"49892352\"] \n  13 -> 18 [size =\"49892352\"]\n  14 [size=\"32184320\", alpha=\"0.05\", expect_size=\"16092160\"] \n  14 -> 16 [size =\"16092160\"]\n  15 [size=\"56543232\", alpha=\"0.09\", expect_size=\"28271616\"] \n  15 -> 22 [size =\"28271616\"]\n  16 [size=\"63143936\", alpha=\"0.04\", expect_size=\"31571968\"] \n  16 -> 19 [size =\"31571968\"]\n  16 -> 22 [size =\"31571968\"]\n  16 -> 23 [size =\"31571968\"]\n  17 [size=\"63221760\", alpha=\"0.11\", expect_size=\"31610880\"] \n  17 -> 19 [size =\"31610880\"]\n  17 -> 20 [size =\"31610880\"]\n  17 -> 21 [size =\"31610880\"]\n  18 [size=\"45123584\", alpha=\"0.08\", expect_size=\"22561792\"] \n  18 -> 20 [size =\"22561792\"]\n  18 -> 23 [size =\"22561792\"]\n  19 [size=\"54876160\", alpha=\"0.19\", expect_size=\"27438080\"] \n  20 [size=\"24666112\", alpha=\"0.01\", expect_size=\"12333056\"] \n  20 -> 25 [size =\"12333056\"]\n  21 [size=\"76455936\", alpha=\"0.00\", expect_size=\"38227968\"] \n  21 -> 24 [size =\"38227968\"]\n  22 [size=\"29431808\", alpha=\"0.15\", expect_size=\"14715904\"] \n  23 [size=\"28960768\", alpha=\"0.06\", expect_size=\"14480384\"] \n  24 [size=\"37683200\", alpha=\"0.04\", expect_size=\"18841600\"] \n  25 [size=\"62339072\", alpha=\"0.17\", expect_size=\"31169536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121968640\", alpha=\"0.05\", expect_size=\"36590592\"] \n  1 -> 10 [size =\"36590592\"]\n  1 -> 11 [size =\"36590592\"]\n  1 -> 12 [size =\"36590592\"]\n  1 -> 19 [size =\"36590592\"]\n  2 [size=\"111110827\", alpha=\"0.03\", expect_size=\"33333248\"] \n  2 -> 9 [size =\"33333248\"]\n  2 -> 10 [size =\"33333248\"]\n  2 -> 11 [size =\"33333248\"]\n  2 -> 12 [size =\"33333248\"]\n  2 -> 14 [size =\"33333248\"]\n  2 -> 16 [size =\"33333248\"]\n  3 [size=\"163324587\", alpha=\"0.06\", expect_size=\"48997376\"] \n  3 -> 10 [size =\"48997376\"]\n  3 -> 11 [size =\"48997376\"]\n  3 -> 14 [size =\"48997376\"]\n  3 -> 17 [size =\"48997376\"]\n  3 -> 18 [size =\"48997376\"]\n  4 [size=\"41311573\", alpha=\"0.16\", expect_size=\"12393472\"] \n  4 -> 10 [size =\"12393472\"]\n  4 -> 11 [size =\"12393472\"]\n  5 [size=\"54531413\", alpha=\"0.16\", expect_size=\"16359424\"] \n  5 -> 9 [size =\"16359424\"]\n  5 -> 13 [size =\"16359424\"]\n  6 [size=\"118060373\", alpha=\"0.05\", expect_size=\"35418112\"] \n  6 -> 13 [size =\"35418112\"]\n  6 -> 16 [size =\"35418112\"]\n  6 -> 17 [size =\"35418112\"]\n  6 -> 19 [size =\"35418112\"]\n  7 [size=\"169079467\", alpha=\"0.15\", expect_size=\"50723840\"] \n  7 -> 11 [size =\"50723840\"]\n  7 -> 12 [size =\"50723840\"]\n  7 -> 14 [size =\"50723840\"]\n  7 -> 15 [size =\"50723840\"]\n  7 -> 16 [size =\"50723840\"]\n  7 -> 18 [size =\"50723840\"]\n  7 -> 19 [size =\"50723840\"]\n  8 [size=\"30494720\", alpha=\"0.05\", expect_size=\"9148416\"] \n  8 -> 9 [size =\"9148416\"]\n  8 -> 14 [size =\"9148416\"]\n  8 -> 15 [size =\"9148416\"]\n  8 -> 16 [size =\"9148416\"]\n  8 -> 16 [size =\"9148416\"]\n  8 -> 18 [size =\"9148416\"]\n  8 -> 19 [size =\"9148416\"]\n  9 [size=\"173871787\", alpha=\"0.05\", expect_size=\"52161536\"] \n  9 -> 20 [size =\"52161536\"]\n  9 -> 22 [size =\"52161536\"]\n  10 [size=\"169335467\", alpha=\"0.03\", expect_size=\"50800640\"] \n  10 -> 21 [size =\"50800640\"]\n  11 [size=\"101679787\", alpha=\"0.08\", expect_size=\"30503936\"] \n  11 -> 20 [size =\"30503936\"]\n  11 -> 21 [size =\"30503936\"]\n  11 -> 25 [size =\"30503936\"]\n  12 [size=\"139731627\", alpha=\"0.19\", expect_size=\"41919488\"] \n  12 -> 21 [size =\"41919488\"]\n  12 -> 24 [size =\"41919488\"]\n  12 -> 25 [size =\"41919488\"]\n  13 [size=\"162706773\", alpha=\"0.09\", expect_size=\"48812032\"] \n  13 -> 21 [size =\"48812032\"]\n  14 [size=\"49312427\", alpha=\"0.14\", expect_size=\"14793728\"] \n  14 -> 21 [size =\"14793728\"]\n  15 [size=\"171584853\", alpha=\"0.14\", expect_size=\"51475456\"] \n  15 -> 20 [size =\"51475456\"]\n  15 -> 22 [size =\"51475456\"]\n  15 -> 25 [size =\"51475456\"]\n  16 [size=\"140025173\", alpha=\"0.05\", expect_size=\"42007552\"] \n  16 -> 20 [size =\"42007552\"]\n  16 -> 21 [size =\"42007552\"]\n  16 -> 22 [size =\"42007552\"]\n  16 -> 24 [size =\"42007552\"]\n  16 -> 25 [size =\"42007552\"]\n  17 [size=\"18909867\", alpha=\"0.18\", expect_size=\"5672960\"] \n  17 -> 22 [size =\"5672960\"]\n  17 -> 25 [size =\"5672960\"]\n  18 [size=\"138649600\", alpha=\"0.15\", expect_size=\"41594880\"] \n  18 -> 21 [size =\"41594880\"]\n  18 -> 22 [size =\"41594880\"]\n  18 -> 23 [size =\"41594880\"]\n  18 -> 25 [size =\"41594880\"]\n  19 [size=\"20589227\", alpha=\"0.05\", expect_size=\"6176768\"] \n  19 -> 20 [size =\"6176768\"]\n  19 -> 21 [size =\"6176768\"]\n  19 -> 22 [size =\"6176768\"]\n  20 [size=\"60931413\", alpha=\"0.05\", expect_size=\"18279424\"] \n  21 [size=\"86657707\", alpha=\"0.18\", expect_size=\"25997312\"] \n  22 [size=\"150422187\", alpha=\"0.03\", expect_size=\"45126656\"] \n  23 [size=\"143175680\", alpha=\"0.06\", expect_size=\"42952704\"] \n  24 [size=\"60170240\", alpha=\"0.13\", expect_size=\"18051072\"] \n  25 [size=\"167133867\", alpha=\"0.04\", expect_size=\"50140160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44994560\", alpha=\"0.12\", expect_size=\"13498368\"] \n  1 -> 22 [size =\"13498368\"]\n  1 -> 24 [size =\"13498368\"]\n  1 -> 25 [size =\"13498368\"]\n  2 [size=\"46288213\", alpha=\"0.13\", expect_size=\"13886464\"] \n  2 -> 21 [size =\"13886464\"]\n  2 -> 22 [size =\"13886464\"]\n  3 [size=\"57801387\", alpha=\"0.01\", expect_size=\"17340416\"] \n  3 -> 18 [size =\"17340416\"]\n  3 -> 19 [size =\"17340416\"]\n  3 -> 21 [size =\"17340416\"]\n  4 [size=\"33498453\", alpha=\"0.06\", expect_size=\"10049536\"] \n  4 -> 15 [size =\"10049536\"]\n  4 -> 18 [size =\"10049536\"]\n  4 -> 19 [size =\"10049536\"]\n  4 -> 22 [size =\"10049536\"]\n  5 [size=\"58248533\", alpha=\"0.08\", expect_size=\"17474560\"] \n  5 -> 15 [size =\"17474560\"]\n  5 -> 20 [size =\"17474560\"]\n  5 -> 21 [size =\"17474560\"]\n  5 -> 22 [size =\"17474560\"]\n  5 -> 25 [size =\"17474560\"]\n  6 [size=\"147397973\", alpha=\"0.17\", expect_size=\"44219392\"] \n  6 -> 17 [size =\"44219392\"]\n  6 -> 21 [size =\"44219392\"]\n  7 [size=\"154668373\", alpha=\"0.11\", expect_size=\"46400512\"] \n  7 -> 19 [size =\"46400512\"]\n  7 -> 22 [size =\"46400512\"]\n  7 -> 24 [size =\"46400512\"]\n  7 -> 25 [size =\"46400512\"]\n  8 [size=\"96184320\", alpha=\"0.16\", expect_size=\"28855296\"] \n  8 -> 15 [size =\"28855296\"]\n  8 -> 17 [size =\"28855296\"]\n  8 -> 24 [size =\"28855296\"]\n  8 -> 25 [size =\"28855296\"]\n  9 [size=\"43434667\", alpha=\"0.14\", expect_size=\"13030400\"] \n  9 -> 15 [size =\"13030400\"]\n  9 -> 17 [size =\"13030400\"]\n  9 -> 22 [size =\"13030400\"]\n  9 -> 24 [size =\"13030400\"]\n  10 [size=\"155801600\", alpha=\"0.18\", expect_size=\"46740480\"] \n  10 -> 15 [size =\"46740480\"]\n  10 -> 16 [size =\"46740480\"]\n  10 -> 22 [size =\"46740480\"]\n  10 -> 23 [size =\"46740480\"]\n  10 -> 24 [size =\"46740480\"]\n  11 [size=\"113694720\", alpha=\"0.04\", expect_size=\"34108416\"] \n  11 -> 15 [size =\"34108416\"]\n  11 -> 18 [size =\"34108416\"]\n  11 -> 24 [size =\"34108416\"]\n  11 -> 25 [size =\"34108416\"]\n  12 [size=\"52183040\", alpha=\"0.00\", expect_size=\"15654912\"] \n  12 -> 15 [size =\"15654912\"]\n  12 -> 17 [size =\"15654912\"]\n  12 -> 18 [size =\"15654912\"]\n  12 -> 19 [size =\"15654912\"]\n  12 -> 22 [size =\"15654912\"]\n  12 -> 24 [size =\"15654912\"]\n  12 -> 25 [size =\"15654912\"]\n  13 [size=\"152456533\", alpha=\"0.12\", expect_size=\"45736960\"] \n  13 -> 17 [size =\"45736960\"]\n  13 -> 19 [size =\"45736960\"]\n  13 -> 21 [size =\"45736960\"]\n  14 [size=\"158167040\", alpha=\"0.01\", expect_size=\"47450112\"] \n  14 -> 19 [size =\"47450112\"]\n  14 -> 21 [size =\"47450112\"]\n  14 -> 22 [size =\"47450112\"]\n  14 -> 24 [size =\"47450112\"]\n  14 -> 25 [size =\"47450112\"]\n  15 [size=\"49708373\", alpha=\"0.15\", expect_size=\"14912512\"] \n  16 [size=\"112957440\", alpha=\"0.15\", expect_size=\"33887232\"] \n  17 [size=\"91023360\", alpha=\"0.07\", expect_size=\"27307008\"] \n  18 [size=\"23166293\", alpha=\"0.08\", expect_size=\"6949888\"] \n  19 [size=\"147046400\", alpha=\"0.15\", expect_size=\"44113920\"] \n  20 [size=\"98201600\", alpha=\"0.19\", expect_size=\"29460480\"] \n  21 [size=\"81571840\", alpha=\"0.07\", expect_size=\"24471552\"] \n  22 [size=\"113008640\", alpha=\"0.18\", expect_size=\"33902592\"] \n  23 [size=\"115927040\", alpha=\"0.14\", expect_size=\"34778112\"] \n  24 [size=\"55640747\", alpha=\"0.13\", expect_size=\"16692224\"] \n  25 [size=\"67078827\", alpha=\"0.16\", expect_size=\"20123648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169779200\", alpha=\"0.01\", expect_size=\"50933760\"] \n  1 -> 9 [size =\"50933760\"]\n  1 -> 10 [size =\"50933760\"]\n  1 -> 12 [size =\"50933760\"]\n  1 -> 13 [size =\"50933760\"]\n  1 -> 14 [size =\"50933760\"]\n  1 -> 16 [size =\"50933760\"]\n  2 [size=\"130283520\", alpha=\"0.05\", expect_size=\"39085056\"] \n  2 -> 9 [size =\"39085056\"]\n  2 -> 14 [size =\"39085056\"]\n  3 [size=\"102853973\", alpha=\"0.15\", expect_size=\"30856192\"] \n  3 -> 9 [size =\"30856192\"]\n  3 -> 12 [size =\"30856192\"]\n  3 -> 14 [size =\"30856192\"]\n  3 -> 16 [size =\"30856192\"]\n  4 [size=\"80254293\", alpha=\"0.11\", expect_size=\"24076288\"] \n  4 -> 11 [size =\"24076288\"]\n  4 -> 14 [size =\"24076288\"]\n  4 -> 16 [size =\"24076288\"]\n  5 [size=\"56418987\", alpha=\"0.18\", expect_size=\"16925696\"] \n  5 -> 10 [size =\"16925696\"]\n  5 -> 13 [size =\"16925696\"]\n  5 -> 15 [size =\"16925696\"]\n  6 [size=\"43120640\", alpha=\"0.13\", expect_size=\"12936192\"] \n  6 -> 9 [size =\"12936192\"]\n  6 -> 10 [size =\"12936192\"]\n  6 -> 11 [size =\"12936192\"]\n  6 -> 12 [size =\"12936192\"]\n  6 -> 13 [size =\"12936192\"]\n  6 -> 14 [size =\"12936192\"]\n  7 [size=\"166734507\", alpha=\"0.10\", expect_size=\"50020352\"] \n  7 -> 9 [size =\"50020352\"]\n  7 -> 10 [size =\"50020352\"]\n  7 -> 12 [size =\"50020352\"]\n  7 -> 13 [size =\"50020352\"]\n  7 -> 13 [size =\"50020352\"]\n  7 -> 14 [size =\"50020352\"]\n  7 -> 15 [size =\"50020352\"]\n  8 [size=\"130116267\", alpha=\"0.05\", expect_size=\"39034880\"] \n  8 -> 9 [size =\"39034880\"]\n  8 -> 12 [size =\"39034880\"]\n  8 -> 13 [size =\"39034880\"]\n  8 -> 16 [size =\"39034880\"]\n  9 [size=\"70741333\", alpha=\"0.18\", expect_size=\"21222400\"] \n  9 -> 17 [size =\"21222400\"]\n  9 -> 22 [size =\"21222400\"]\n  10 [size=\"135963307\", alpha=\"0.03\", expect_size=\"40788992\"] \n  10 -> 20 [size =\"40788992\"]\n  10 -> 21 [size =\"40788992\"]\n  10 -> 22 [size =\"40788992\"]\n  10 -> 23 [size =\"40788992\"]\n  11 [size=\"126160213\", alpha=\"0.06\", expect_size=\"37848064\"] \n  11 -> 17 [size =\"37848064\"]\n  11 -> 18 [size =\"37848064\"]\n  11 -> 23 [size =\"37848064\"]\n  12 [size=\"131037867\", alpha=\"0.13\", expect_size=\"39311360\"] \n  12 -> 18 [size =\"39311360\"]\n  13 [size=\"171311787\", alpha=\"0.11\", expect_size=\"51393536\"] \n  13 -> 19 [size =\"51393536\"]\n  13 -> 20 [size =\"51393536\"]\n  14 [size=\"131208533\", alpha=\"0.16\", expect_size=\"39362560\"] \n  14 -> 17 [size =\"39362560\"]\n  14 -> 18 [size =\"39362560\"]\n  14 -> 19 [size =\"39362560\"]\n  14 -> 22 [size =\"39362560\"]\n  14 -> 24 [size =\"39362560\"]\n  15 [size=\"62030507\", alpha=\"0.12\", expect_size=\"18609152\"] \n  15 -> 18 [size =\"18609152\"]\n  15 -> 18 [size =\"18609152\"]\n  15 -> 19 [size =\"18609152\"]\n  15 -> 22 [size =\"18609152\"]\n  15 -> 23 [size =\"18609152\"]\n  16 [size=\"45656747\", alpha=\"0.02\", expect_size=\"13697024\"] \n  16 -> 22 [size =\"13697024\"]\n  16 -> 23 [size =\"13697024\"]\n  17 [size=\"149654187\", alpha=\"0.17\", expect_size=\"44896256\"] \n  17 -> 25 [size =\"44896256\"]\n  18 [size=\"67512320\", alpha=\"0.18\", expect_size=\"20253696\"] \n  19 [size=\"106550613\", alpha=\"0.07\", expect_size=\"31965184\"] \n  19 -> 25 [size =\"31965184\"]\n  20 [size=\"90135893\", alpha=\"0.18\", expect_size=\"27040768\"] \n  21 [size=\"116695040\", alpha=\"0.08\", expect_size=\"35008512\"] \n  22 [size=\"161566720\", alpha=\"0.12\", expect_size=\"48470016\"] \n  23 [size=\"105352533\", alpha=\"0.07\", expect_size=\"31605760\"] \n  24 [size=\"35556693\", alpha=\"0.10\", expect_size=\"10667008\"] \n  25 [size=\"158917973\", alpha=\"0.18\", expect_size=\"47675392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126562987\", alpha=\"0.13\", expect_size=\"37968896\"] \n  1 -> 2 [size =\"37968896\"]\n  2 [size=\"103389867\", alpha=\"0.03\", expect_size=\"31016960\"] \n  2 -> 3 [size =\"31016960\"]\n  3 [size=\"124757333\", alpha=\"0.11\", expect_size=\"37427200\"] \n  3 -> 4 [size =\"37427200\"]\n  4 [size=\"137840640\", alpha=\"0.12\", expect_size=\"41352192\"] \n  4 -> 5 [size =\"41352192\"]\n  5 [size=\"21360640\", alpha=\"0.12\", expect_size=\"6408192\"] \n  5 -> 6 [size =\"6408192\"]\n  6 [size=\"89477120\", alpha=\"0.07\", expect_size=\"26843136\"] \n  6 -> 7 [size =\"26843136\"]\n  7 [size=\"98426880\", alpha=\"0.11\", expect_size=\"29528064\"] \n  7 -> 8 [size =\"29528064\"]\n  8 [size=\"96942080\", alpha=\"0.09\", expect_size=\"29082624\"] \n  8 -> 9 [size =\"29082624\"]\n  9 [size=\"143462400\", alpha=\"0.02\", expect_size=\"43038720\"] \n  9 -> 10 [size =\"43038720\"]\n  10 [size=\"31136427\", alpha=\"0.11\", expect_size=\"9340928\"] \n  10 -> 11 [size =\"9340928\"]\n  11 [size=\"102915413\", alpha=\"0.11\", expect_size=\"30874624\"] \n  11 -> 12 [size =\"30874624\"]\n  12 [size=\"49831253\", alpha=\"0.14\", expect_size=\"14949376\"] \n  12 -> 13 [size =\"14949376\"]\n  13 [size=\"74298027\", alpha=\"0.14\", expect_size=\"22289408\"] \n  13 -> 14 [size =\"22289408\"]\n  14 [size=\"159136427\", alpha=\"0.01\", expect_size=\"47740928\"] \n  14 -> 15 [size =\"47740928\"]\n  15 [size=\"96829440\", alpha=\"0.04\", expect_size=\"29048832\"] \n  15 -> 16 [size =\"29048832\"]\n  16 [size=\"30723413\", alpha=\"0.19\", expect_size=\"9217024\"] \n  16 -> 17 [size =\"9217024\"]\n  17 [size=\"82022400\", alpha=\"0.13\", expect_size=\"24606720\"] \n  17 -> 18 [size =\"24606720\"]\n  18 [size=\"168229547\", alpha=\"0.01\", expect_size=\"50468864\"] \n  18 -> 19 [size =\"50468864\"]\n  19 [size=\"78042453\", alpha=\"0.18\", expect_size=\"23412736\"] \n  19 -> 20 [size =\"23412736\"]\n  20 [size=\"91040427\", alpha=\"0.13\", expect_size=\"27312128\"] \n  20 -> 21 [size =\"27312128\"]\n  21 [size=\"21913600\", alpha=\"0.01\", expect_size=\"6574080\"] \n  21 -> 22 [size =\"6574080\"]\n  22 [size=\"109349547\", alpha=\"0.01\", expect_size=\"32804864\"] \n  22 -> 23 [size =\"32804864\"]\n  23 [size=\"59002880\", alpha=\"0.14\", expect_size=\"17700864\"] \n  23 -> 24 [size =\"17700864\"]\n  24 [size=\"166874453\", alpha=\"0.02\", expect_size=\"50062336\"] \n  24 -> 25 [size =\"50062336\"]\n  25 [size=\"172161707\", alpha=\"0.11\", expect_size=\"51648512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66631680\", alpha=\"0.11\", expect_size=\"33315840\"] \n  1 -> 7 [size =\"33315840\"]\n  2 [size=\"43595776\", alpha=\"0.04\", expect_size=\"21797888\"] \n  2 -> 7 [size =\"21797888\"]\n  3 [size=\"48218112\", alpha=\"0.18\", expect_size=\"24109056\"] \n  3 -> 7 [size =\"24109056\"]\n  4 [size=\"73785344\", alpha=\"0.16\", expect_size=\"36892672\"] \n  4 -> 6 [size =\"36892672\"]\n  5 [size=\"46458880\", alpha=\"0.14\", expect_size=\"23229440\"] \n  5 -> 6 [size =\"23229440\"]\n  6 [size=\"48287744\", alpha=\"0.08\", expect_size=\"24143872\"] \n  6 -> 8 [size =\"24143872\"]\n  6 -> 10 [size =\"24143872\"]\n  7 [size=\"13916160\", alpha=\"0.05\", expect_size=\"6958080\"] \n  7 -> 9 [size =\"6958080\"]\n  8 [size=\"92397568\", alpha=\"0.09\", expect_size=\"46198784\"] \n  8 -> 11 [size =\"46198784\"]\n  9 [size=\"43915264\", alpha=\"0.03\", expect_size=\"21957632\"] \n  9 -> 11 [size =\"21957632\"]\n  10 [size=\"44177408\", alpha=\"0.11\", expect_size=\"22088704\"] \n  10 -> 12 [size =\"22088704\"]\n  11 [size=\"99198976\", alpha=\"0.13\", expect_size=\"49599488\"] \n  11 -> 13 [size =\"49599488\"]\n  11 -> 15 [size =\"49599488\"]\n  12 [size=\"58220544\", alpha=\"0.05\", expect_size=\"29110272\"] \n  12 -> 13 [size =\"29110272\"]\n  12 -> 14 [size =\"29110272\"]\n  12 -> 15 [size =\"29110272\"]\n  12 -> 16 [size =\"29110272\"]\n  13 [size=\"77088768\", alpha=\"0.04\", expect_size=\"38544384\"] \n  14 [size=\"67731456\", alpha=\"0.10\", expect_size=\"33865728\"] \n  14 -> 17 [size =\"33865728\"]\n  14 -> 18 [size =\"33865728\"]\n  15 [size=\"48228352\", alpha=\"0.16\", expect_size=\"24114176\"] \n  15 -> 17 [size =\"24114176\"]\n  15 -> 18 [size =\"24114176\"]\n  16 [size=\"20967424\", alpha=\"0.08\", expect_size=\"10483712\"] \n  17 [size=\"59090944\", alpha=\"0.13\", expect_size=\"29545472\"] \n  17 -> 20 [size =\"29545472\"]\n  18 [size=\"81569792\", alpha=\"0.14\", expect_size=\"40784896\"] \n  18 -> 19 [size =\"40784896\"]\n  18 -> 21 [size =\"40784896\"]\n  19 [size=\"29018112\", alpha=\"0.19\", expect_size=\"14509056\"] \n  19 -> 22 [size =\"14509056\"]\n  19 -> 24 [size =\"14509056\"]\n  20 [size=\"43079680\", alpha=\"0.14\", expect_size=\"21539840\"] \n  20 -> 22 [size =\"21539840\"]\n  21 [size=\"94771200\", alpha=\"0.01\", expect_size=\"47385600\"] \n  21 -> 23 [size =\"47385600\"]\n  21 -> 24 [size =\"47385600\"]\n  22 [size=\"59838464\", alpha=\"0.15\", expect_size=\"29919232\"] \n  23 [size=\"82239488\", alpha=\"0.17\", expect_size=\"41119744\"] \n  23 -> 25 [size =\"41119744\"]\n  24 [size=\"102307840\", alpha=\"0.12\", expect_size=\"51153920\"] \n  24 -> 25 [size =\"51153920\"]\n  25 [size=\"57405440\", alpha=\"0.15\", expect_size=\"28702720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68993707\", alpha=\"0.09\", expect_size=\"20698112\"] \n  1 -> 2 [size =\"20698112\"]\n  1 -> 3 [size =\"20698112\"]\n  2 [size=\"28020053\", alpha=\"0.19\", expect_size=\"8406016\"] \n  2 -> 4 [size =\"8406016\"]\n  2 -> 5 [size =\"8406016\"]\n  3 [size=\"96290133\", alpha=\"0.19\", expect_size=\"28887040\"] \n  3 -> 4 [size =\"28887040\"]\n  4 [size=\"154777600\", alpha=\"0.17\", expect_size=\"46433280\"] \n  4 -> 6 [size =\"46433280\"]\n  4 -> 7 [size =\"46433280\"]\n  5 [size=\"87063893\", alpha=\"0.17\", expect_size=\"26119168\"] \n  5 -> 6 [size =\"26119168\"]\n  5 -> 7 [size =\"26119168\"]\n  6 [size=\"114548053\", alpha=\"0.08\", expect_size=\"34364416\"] \n  6 -> 8 [size =\"34364416\"]\n  7 [size=\"50660693\", alpha=\"0.10\", expect_size=\"15198208\"] \n  8 [size=\"42315093\", alpha=\"0.10\", expect_size=\"12694528\"] \n  8 -> 9 [size =\"12694528\"]\n  8 -> 10 [size =\"12694528\"]\n  9 [size=\"73274027\", alpha=\"0.02\", expect_size=\"21982208\"] \n  10 [size=\"56405333\", alpha=\"0.06\", expect_size=\"16921600\"] \n  10 -> 11 [size =\"16921600\"]\n  10 -> 12 [size =\"16921600\"]\n  11 [size=\"164423680\", alpha=\"0.13\", expect_size=\"49327104\"] \n  12 [size=\"75328853\", alpha=\"0.06\", expect_size=\"22598656\"] \n  12 -> 13 [size =\"22598656\"]\n  12 -> 14 [size =\"22598656\"]\n  13 [size=\"66351787\", alpha=\"0.09\", expect_size=\"19905536\"] \n  13 -> 15 [size =\"19905536\"]\n  14 [size=\"59924480\", alpha=\"0.01\", expect_size=\"17977344\"] \n  14 -> 15 [size =\"17977344\"]\n  15 [size=\"33245867\", alpha=\"0.10\", expect_size=\"9973760\"] \n  15 -> 16 [size =\"9973760\"]\n  15 -> 17 [size =\"9973760\"]\n  16 [size=\"170752000\", alpha=\"0.19\", expect_size=\"51225600\"] \n  16 -> 18 [size =\"51225600\"]\n  17 [size=\"77516800\", alpha=\"0.06\", expect_size=\"23255040\"] \n  17 -> 18 [size =\"23255040\"]\n  17 -> 19 [size =\"23255040\"]\n  18 [size=\"153579520\", alpha=\"0.07\", expect_size=\"46073856\"] \n  18 -> 20 [size =\"46073856\"]\n  18 -> 21 [size =\"46073856\"]\n  19 [size=\"71092907\", alpha=\"0.03\", expect_size=\"21327872\"] \n  19 -> 21 [size =\"21327872\"]\n  20 [size=\"83783680\", alpha=\"0.13\", expect_size=\"25135104\"] \n  21 [size=\"130498560\", alpha=\"0.09\", expect_size=\"39149568\"] \n  21 -> 22 [size =\"39149568\"]\n  21 -> 23 [size =\"39149568\"]\n  22 [size=\"74212693\", alpha=\"0.06\", expect_size=\"22263808\"] \n  23 [size=\"119173120\", alpha=\"0.14\", expect_size=\"35751936\"] \n  23 -> 24 [size =\"35751936\"]\n  24 [size=\"34764800\", alpha=\"0.19\", expect_size=\"10429440\"] \n  24 -> 25 [size =\"10429440\"]\n  25 [size=\"45697707\", alpha=\"0.12\", expect_size=\"13709312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77668352\", alpha=\"0.09\", expect_size=\"38834176\"] \n  1 -> 2 [size =\"38834176\"]\n  1 -> 3 [size =\"38834176\"]\n  2 [size=\"102131712\", alpha=\"0.02\", expect_size=\"51065856\"] \n  3 [size=\"18702336\", alpha=\"0.07\", expect_size=\"9351168\"] \n  3 -> 4 [size =\"9351168\"]\n  3 -> 5 [size =\"9351168\"]\n  4 [size=\"64159744\", alpha=\"0.07\", expect_size=\"32079872\"] \n  4 -> 6 [size =\"32079872\"]\n  5 [size=\"67108864\", alpha=\"0.07\", expect_size=\"33554432\"] \n  5 -> 6 [size =\"33554432\"]\n  6 [size=\"93999104\", alpha=\"0.01\", expect_size=\"46999552\"] \n  6 -> 7 [size =\"46999552\"]\n  6 -> 8 [size =\"46999552\"]\n  7 [size=\"94222336\", alpha=\"0.09\", expect_size=\"47111168\"] \n  7 -> 9 [size =\"47111168\"]\n  8 [size=\"39837696\", alpha=\"0.05\", expect_size=\"19918848\"] \n  9 [size=\"81258496\", alpha=\"0.19\", expect_size=\"40629248\"] \n  9 -> 10 [size =\"40629248\"]\n  10 [size=\"77688832\", alpha=\"0.13\", expect_size=\"38844416\"] \n  10 -> 11 [size =\"38844416\"]\n  11 [size=\"53657600\", alpha=\"0.12\", expect_size=\"26828800\"] \n  11 -> 12 [size =\"26828800\"]\n  11 -> 13 [size =\"26828800\"]\n  12 [size=\"96303104\", alpha=\"0.14\", expect_size=\"48151552\"] \n  12 -> 14 [size =\"48151552\"]\n  13 [size=\"12103680\", alpha=\"0.18\", expect_size=\"6051840\"] \n  13 -> 14 [size =\"6051840\"]\n  14 [size=\"43272192\", alpha=\"0.03\", expect_size=\"21636096\"] \n  14 -> 15 [size =\"21636096\"]\n  14 -> 16 [size =\"21636096\"]\n  15 [size=\"74561536\", alpha=\"0.03\", expect_size=\"37280768\"] \n  15 -> 17 [size =\"37280768\"]\n  16 [size=\"12984320\", alpha=\"0.01\", expect_size=\"6492160\"] \n  16 -> 17 [size =\"6492160\"]\n  16 -> 18 [size =\"6492160\"]\n  17 [size=\"17410048\", alpha=\"0.17\", expect_size=\"8705024\"] \n  17 -> 19 [size =\"8705024\"]\n  18 [size=\"58564608\", alpha=\"0.15\", expect_size=\"29282304\"] \n  18 -> 20 [size =\"29282304\"]\n  19 [size=\"81676288\", alpha=\"0.06\", expect_size=\"40838144\"] \n  19 -> 21 [size =\"40838144\"]\n  20 [size=\"78184448\", alpha=\"0.03\", expect_size=\"39092224\"] \n  21 [size=\"43759616\", alpha=\"0.14\", expect_size=\"21879808\"] \n  21 -> 22 [size =\"21879808\"]\n  21 -> 23 [size =\"21879808\"]\n  22 [size=\"100421632\", alpha=\"0.05\", expect_size=\"50210816\"] \n  22 -> 24 [size =\"50210816\"]\n  22 -> 25 [size =\"50210816\"]\n  23 [size=\"71374848\", alpha=\"0.17\", expect_size=\"35687424\"] \n  23 -> 24 [size =\"35687424\"]\n  23 -> 25 [size =\"35687424\"]\n  24 [size=\"61843456\", alpha=\"0.01\", expect_size=\"30921728\"] \n  25 [size=\"76552192\", alpha=\"0.17\", expect_size=\"38276096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62789120\", alpha=\"0.03\", expect_size=\"25115648\"] \n  1 -> 5 [size =\"25115648\"]\n  2 [size=\"77242880\", alpha=\"0.19\", expect_size=\"30897152\"] \n  2 -> 3 [size =\"30897152\"]\n  2 -> 4 [size =\"30897152\"]\n  3 [size=\"31715840\", alpha=\"0.12\", expect_size=\"12686336\"] \n  3 -> 6 [size =\"12686336\"]\n  3 -> 7 [size =\"12686336\"]\n  4 [size=\"130685440\", alpha=\"0.16\", expect_size=\"52274176\"] \n  4 -> 8 [size =\"52274176\"]\n  4 -> 9 [size =\"52274176\"]\n  5 [size=\"41454080\", alpha=\"0.20\", expect_size=\"16581632\"] \n  5 -> 6 [size =\"16581632\"]\n  5 -> 8 [size =\"16581632\"]\n  6 [size=\"66636800\", alpha=\"0.01\", expect_size=\"26654720\"] \n  6 -> 12 [size =\"26654720\"]\n  6 -> 13 [size =\"26654720\"]\n  7 [size=\"93591040\", alpha=\"0.16\", expect_size=\"37436416\"] \n  7 -> 12 [size =\"37436416\"]\n  7 -> 13 [size =\"37436416\"]\n  8 [size=\"89259520\", alpha=\"0.16\", expect_size=\"35703808\"] \n  8 -> 10 [size =\"35703808\"]\n  8 -> 12 [size =\"35703808\"]\n  9 [size=\"111544320\", alpha=\"0.09\", expect_size=\"44617728\"] \n  9 -> 10 [size =\"44617728\"]\n  9 -> 11 [size =\"44617728\"]\n  9 -> 13 [size =\"44617728\"]\n  10 [size=\"30937600\", alpha=\"0.12\", expect_size=\"12375040\"] \n  10 -> 14 [size =\"12375040\"]\n  10 -> 15 [size =\"12375040\"]\n  11 [size=\"110781440\", alpha=\"0.14\", expect_size=\"44312576\"] \n  12 [size=\"128284160\", alpha=\"0.09\", expect_size=\"51313664\"] \n  12 -> 16 [size =\"51313664\"]\n  13 [size=\"119964160\", alpha=\"0.12\", expect_size=\"47985664\"] \n  13 -> 16 [size =\"47985664\"]\n  14 [size=\"70218240\", alpha=\"0.19\", expect_size=\"28087296\"] \n  14 -> 19 [size =\"28087296\"]\n  15 [size=\"46440960\", alpha=\"0.04\", expect_size=\"18576384\"] \n  15 -> 18 [size =\"18576384\"]\n  16 [size=\"46062080\", alpha=\"0.19\", expect_size=\"18424832\"] \n  16 -> 17 [size =\"18424832\"]\n  17 [size=\"49830400\", alpha=\"0.14\", expect_size=\"19932160\"] \n  17 -> 21 [size =\"19932160\"]\n  18 [size=\"25072640\", alpha=\"0.16\", expect_size=\"10029056\"] \n  18 -> 21 [size =\"10029056\"]\n  18 -> 22 [size =\"10029056\"]\n  19 [size=\"118535680\", alpha=\"0.13\", expect_size=\"47414272\"] \n  19 -> 20 [size =\"47414272\"]\n  20 [size=\"51927040\", alpha=\"0.18\", expect_size=\"20770816\"] \n  21 [size=\"120542720\", alpha=\"0.10\", expect_size=\"48217088\"] \n  21 -> 23 [size =\"48217088\"]\n  22 [size=\"84026880\", alpha=\"0.14\", expect_size=\"33610752\"] \n  22 -> 23 [size =\"33610752\"]\n  22 -> 24 [size =\"33610752\"]\n  22 -> 25 [size =\"33610752\"]\n  23 [size=\"19837440\", alpha=\"0.01\", expect_size=\"7934976\"] \n  24 [size=\"93117440\", alpha=\"0.08\", expect_size=\"37246976\"] \n  25 [size=\"88453120\", alpha=\"0.19\", expect_size=\"35381248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130515627\", alpha=\"0.11\", expect_size=\"39154688\"] \n  1 -> 4 [size =\"39154688\"]\n  1 -> 6 [size =\"39154688\"]\n  2 [size=\"73308160\", alpha=\"0.19\", expect_size=\"21992448\"] \n  2 -> 4 [size =\"21992448\"]\n  2 -> 5 [size =\"21992448\"]\n  3 [size=\"153896960\", alpha=\"0.02\", expect_size=\"46169088\"] \n  3 -> 5 [size =\"46169088\"]\n  3 -> 6 [size =\"46169088\"]\n  4 [size=\"64242347\", alpha=\"0.13\", expect_size=\"19272704\"] \n  4 -> 7 [size =\"19272704\"]\n  4 -> 9 [size =\"19272704\"]\n  5 [size=\"135649280\", alpha=\"0.10\", expect_size=\"40694784\"] \n  5 -> 7 [size =\"40694784\"]\n  6 [size=\"120156160\", alpha=\"0.11\", expect_size=\"36046848\"] \n  6 -> 7 [size =\"36046848\"]\n  6 -> 8 [size =\"36046848\"]\n  6 -> 9 [size =\"36046848\"]\n  7 [size=\"115200000\", alpha=\"0.12\", expect_size=\"34560000\"] \n  7 -> 10 [size =\"34560000\"]\n  7 -> 11 [size =\"34560000\"]\n  7 -> 12 [size =\"34560000\"]\n  7 -> 13 [size =\"34560000\"]\n  8 [size=\"51855360\", alpha=\"0.01\", expect_size=\"15556608\"] \n  8 -> 12 [size =\"15556608\"]\n  8 -> 13 [size =\"15556608\"]\n  9 [size=\"101522773\", alpha=\"0.15\", expect_size=\"30456832\"] \n  9 -> 10 [size =\"30456832\"]\n  10 [size=\"48121173\", alpha=\"0.05\", expect_size=\"14436352\"] \n  10 -> 14 [size =\"14436352\"]\n  10 -> 15 [size =\"14436352\"]\n  10 -> 16 [size =\"14436352\"]\n  11 [size=\"105321813\", alpha=\"0.11\", expect_size=\"31596544\"] \n  11 -> 14 [size =\"31596544\"]\n  12 [size=\"36942507\", alpha=\"0.07\", expect_size=\"11082752\"] \n  12 -> 17 [size =\"11082752\"]\n  13 [size=\"29917867\", alpha=\"0.17\", expect_size=\"8975360\"] \n  13 -> 14 [size =\"8975360\"]\n  13 -> 15 [size =\"8975360\"]\n  14 [size=\"45370027\", alpha=\"0.17\", expect_size=\"13611008\"] \n  14 -> 18 [size =\"13611008\"]\n  14 -> 21 [size =\"13611008\"]\n  15 [size=\"145390933\", alpha=\"0.16\", expect_size=\"43617280\"] \n  15 -> 19 [size =\"43617280\"]\n  15 -> 21 [size =\"43617280\"]\n  16 [size=\"66000213\", alpha=\"0.12\", expect_size=\"19800064\"] \n  16 -> 19 [size =\"19800064\"]\n  17 [size=\"151040000\", alpha=\"0.11\", expect_size=\"45312000\"] \n  17 -> 19 [size =\"45312000\"]\n  17 -> 20 [size =\"45312000\"]\n  18 [size=\"86599680\", alpha=\"0.11\", expect_size=\"25979904\"] \n  18 -> 22 [size =\"25979904\"]\n  18 -> 23 [size =\"25979904\"]\n  18 -> 24 [size =\"25979904\"]\n  19 [size=\"91801600\", alpha=\"0.18\", expect_size=\"27540480\"] \n  19 -> 22 [size =\"27540480\"]\n  20 [size=\"56053760\", alpha=\"0.04\", expect_size=\"16816128\"] \n  20 -> 23 [size =\"16816128\"]\n  20 -> 24 [size =\"16816128\"]\n  21 [size=\"94590293\", alpha=\"0.05\", expect_size=\"28377088\"] \n  21 -> 22 [size =\"28377088\"]\n  21 -> 23 [size =\"28377088\"]\n  22 [size=\"21282133\", alpha=\"0.13\", expect_size=\"6384640\"] \n  22 -> 25 [size =\"6384640\"]\n  23 [size=\"76212907\", alpha=\"0.18\", expect_size=\"22863872\"] \n  23 -> 25 [size =\"22863872\"]\n  24 [size=\"50998613\", alpha=\"0.09\", expect_size=\"15299584\"] \n  25 [size=\"29747200\", alpha=\"0.15\", expect_size=\"8924160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40441173\", alpha=\"0.18\", expect_size=\"12132352\"] \n  1 -> 9 [size =\"12132352\"]\n  1 -> 11 [size =\"12132352\"]\n  2 [size=\"62248960\", alpha=\"0.14\", expect_size=\"18674688\"] \n  2 -> 10 [size =\"18674688\"]\n  2 -> 14 [size =\"18674688\"]\n  3 [size=\"62122667\", alpha=\"0.06\", expect_size=\"18636800\"] \n  3 -> 9 [size =\"18636800\"]\n  3 -> 11 [size =\"18636800\"]\n  3 -> 12 [size =\"18636800\"]\n  3 -> 13 [size =\"18636800\"]\n  3 -> 14 [size =\"18636800\"]\n  3 -> 15 [size =\"18636800\"]\n  4 [size=\"78721707\", alpha=\"0.08\", expect_size=\"23616512\"] \n  4 -> 9 [size =\"23616512\"]\n  4 -> 10 [size =\"23616512\"]\n  4 -> 11 [size =\"23616512\"]\n  4 -> 14 [size =\"23616512\"]\n  4 -> 15 [size =\"23616512\"]\n  4 -> 15 [size =\"23616512\"]\n  5 [size=\"159088640\", alpha=\"0.14\", expect_size=\"47726592\"] \n  5 -> 9 [size =\"47726592\"]\n  5 -> 10 [size =\"47726592\"]\n  5 -> 11 [size =\"47726592\"]\n  5 -> 13 [size =\"47726592\"]\n  5 -> 14 [size =\"47726592\"]\n  5 -> 15 [size =\"47726592\"]\n  6 [size=\"86220800\", alpha=\"0.02\", expect_size=\"25866240\"] \n  6 -> 9 [size =\"25866240\"]\n  6 -> 10 [size =\"25866240\"]\n  6 -> 11 [size =\"25866240\"]\n  6 -> 14 [size =\"25866240\"]\n  6 -> 14 [size =\"25866240\"]\n  6 -> 15 [size =\"25866240\"]\n  6 -> 16 [size =\"25866240\"]\n  7 [size=\"82292053\", alpha=\"0.05\", expect_size=\"24687616\"] \n  7 -> 9 [size =\"24687616\"]\n  7 -> 12 [size =\"24687616\"]\n  7 -> 15 [size =\"24687616\"]\n  8 [size=\"170458453\", alpha=\"0.07\", expect_size=\"51137536\"] \n  8 -> 10 [size =\"51137536\"]\n  9 [size=\"37730987\", alpha=\"0.06\", expect_size=\"11319296\"] \n  9 -> 18 [size =\"11319296\"]\n  9 -> 21 [size =\"11319296\"]\n  9 -> 22 [size =\"11319296\"]\n  10 [size=\"65952427\", alpha=\"0.14\", expect_size=\"19785728\"] \n  10 -> 18 [size =\"19785728\"]\n  10 -> 21 [size =\"19785728\"]\n  10 -> 23 [size =\"19785728\"]\n  10 -> 24 [size =\"19785728\"]\n  11 [size=\"76608853\", alpha=\"0.09\", expect_size=\"22982656\"] \n  11 -> 17 [size =\"22982656\"]\n  11 -> 18 [size =\"22982656\"]\n  11 -> 19 [size =\"22982656\"]\n  11 -> 20 [size =\"22982656\"]\n  11 -> 21 [size =\"22982656\"]\n  11 -> 22 [size =\"22982656\"]\n  12 [size=\"62426453\", alpha=\"0.18\", expect_size=\"18727936\"] \n  12 -> 18 [size =\"18727936\"]\n  12 -> 19 [size =\"18727936\"]\n  12 -> 20 [size =\"18727936\"]\n  12 -> 20 [size =\"18727936\"]\n  12 -> 21 [size =\"18727936\"]\n  12 -> 22 [size =\"18727936\"]\n  13 [size=\"19063467\", alpha=\"0.11\", expect_size=\"5719040\"] \n  13 -> 18 [size =\"5719040\"]\n  13 -> 19 [size =\"5719040\"]\n  13 -> 20 [size =\"5719040\"]\n  13 -> 21 [size =\"5719040\"]\n  14 [size=\"68724053\", alpha=\"0.15\", expect_size=\"20617216\"] \n  14 -> 18 [size =\"20617216\"]\n  14 -> 20 [size =\"20617216\"]\n  14 -> 21 [size =\"20617216\"]\n  14 -> 24 [size =\"20617216\"]\n  15 [size=\"135495680\", alpha=\"0.03\", expect_size=\"40648704\"] \n  15 -> 17 [size =\"40648704\"]\n  15 -> 18 [size =\"40648704\"]\n  15 -> 19 [size =\"40648704\"]\n  15 -> 20 [size =\"40648704\"]\n  15 -> 21 [size =\"40648704\"]\n  15 -> 24 [size =\"40648704\"]\n  16 [size=\"90781013\", alpha=\"0.08\", expect_size=\"27234304\"] \n  16 -> 17 [size =\"27234304\"]\n  16 -> 21 [size =\"27234304\"]\n  16 -> 22 [size =\"27234304\"]\n  16 -> 24 [size =\"27234304\"]\n  17 [size=\"103051947\", alpha=\"0.15\", expect_size=\"30915584\"] \n  17 -> 25 [size =\"30915584\"]\n  18 [size=\"139414187\", alpha=\"0.07\", expect_size=\"41824256\"] \n  19 [size=\"38488747\", alpha=\"0.08\", expect_size=\"11546624\"] \n  20 [size=\"88360960\", alpha=\"0.14\", expect_size=\"26508288\"] \n  21 [size=\"41799680\", alpha=\"0.03\", expect_size=\"12539904\"] \n  21 -> 25 [size =\"12539904\"]\n  22 [size=\"110861653\", alpha=\"0.17\", expect_size=\"33258496\"] \n  23 [size=\"91439787\", alpha=\"0.17\", expect_size=\"27431936\"] \n  23 -> 25 [size =\"27431936\"]\n  24 [size=\"18711893\", alpha=\"0.05\", expect_size=\"5613568\"] \n  24 -> 25 [size =\"5613568\"]\n  25 [size=\"139735040\", alpha=\"0.10\", expect_size=\"41920512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35921920\", alpha=\"0.06\", expect_size=\"17960960\"] \n  1 -> 5 [size =\"17960960\"]\n  1 -> 7 [size =\"17960960\"]\n  1 -> 8 [size =\"17960960\"]\n  2 [size=\"26603520\", alpha=\"0.01\", expect_size=\"13301760\"] \n  3 [size=\"14028800\", alpha=\"0.12\", expect_size=\"7014400\"] \n  3 -> 6 [size =\"7014400\"]\n  3 -> 7 [size =\"7014400\"]\n  3 -> 8 [size =\"7014400\"]\n  4 [size=\"52703232\", alpha=\"0.05\", expect_size=\"26351616\"] \n  4 -> 5 [size =\"26351616\"]\n  4 -> 7 [size =\"26351616\"]\n  4 -> 8 [size =\"26351616\"]\n  5 [size=\"22716416\", alpha=\"0.07\", expect_size=\"11358208\"] \n  5 -> 10 [size =\"11358208\"]\n  5 -> 12 [size =\"11358208\"]\n  6 [size=\"49360896\", alpha=\"0.05\", expect_size=\"24680448\"] \n  6 -> 11 [size =\"24680448\"]\n  7 [size=\"10725376\", alpha=\"0.03\", expect_size=\"5362688\"] \n  7 -> 9 [size =\"5362688\"]\n  8 [size=\"56737792\", alpha=\"0.07\", expect_size=\"28368896\"] \n  9 [size=\"30541824\", alpha=\"0.05\", expect_size=\"15270912\"] \n  9 -> 13 [size =\"15270912\"]\n  9 -> 15 [size =\"15270912\"]\n  10 [size=\"57665536\", alpha=\"0.10\", expect_size=\"28832768\"] \n  10 -> 14 [size =\"28832768\"]\n  10 -> 15 [size =\"28832768\"]\n  11 [size=\"45699072\", alpha=\"0.11\", expect_size=\"22849536\"] \n  11 -> 14 [size =\"22849536\"]\n  12 [size=\"72488960\", alpha=\"0.18\", expect_size=\"36244480\"] \n  12 -> 14 [size =\"36244480\"]\n  13 [size=\"79536128\", alpha=\"0.01\", expect_size=\"39768064\"] \n  13 -> 16 [size =\"39768064\"]\n  13 -> 18 [size =\"39768064\"]\n  14 [size=\"41064448\", alpha=\"0.12\", expect_size=\"20532224\"] \n  14 -> 16 [size =\"20532224\"]\n  15 [size=\"63209472\", alpha=\"0.10\", expect_size=\"31604736\"] \n  15 -> 16 [size =\"31604736\"]\n  15 -> 17 [size =\"31604736\"]\n  16 [size=\"94943232\", alpha=\"0.04\", expect_size=\"47471616\"] \n  16 -> 20 [size =\"47471616\"]\n  17 [size=\"25298944\", alpha=\"0.16\", expect_size=\"12649472\"] \n  17 -> 20 [size =\"12649472\"]\n  17 -> 21 [size =\"12649472\"]\n  18 [size=\"37468160\", alpha=\"0.11\", expect_size=\"18734080\"] \n  18 -> 19 [size =\"18734080\"]\n  18 -> 21 [size =\"18734080\"]\n  19 [size=\"68540416\", alpha=\"0.17\", expect_size=\"34270208\"] \n  19 -> 22 [size =\"34270208\"]\n  19 -> 23 [size =\"34270208\"]\n  19 -> 25 [size =\"34270208\"]\n  20 [size=\"91357184\", alpha=\"0.07\", expect_size=\"45678592\"] \n  20 -> 24 [size =\"45678592\"]\n  21 [size=\"45791232\", alpha=\"0.02\", expect_size=\"22895616\"] \n  21 -> 23 [size =\"22895616\"]\n  21 -> 24 [size =\"22895616\"]\n  21 -> 25 [size =\"22895616\"]\n  22 [size=\"97832960\", alpha=\"0.00\", expect_size=\"48916480\"] \n  23 [size=\"90400768\", alpha=\"0.20\", expect_size=\"45200384\"] \n  24 [size=\"96522240\", alpha=\"0.08\", expect_size=\"48261120\"] \n  25 [size=\"58124288\", alpha=\"0.19\", expect_size=\"29062144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152767147\", alpha=\"0.19\", expect_size=\"45830144\"] \n  1 -> 6 [size =\"45830144\"]\n  1 -> 9 [size =\"45830144\"]\n  2 [size=\"126044160\", alpha=\"0.18\", expect_size=\"37813248\"] \n  3 [size=\"118384640\", alpha=\"0.00\", expect_size=\"35515392\"] \n  3 -> 6 [size =\"35515392\"]\n  3 -> 7 [size =\"35515392\"]\n  3 -> 8 [size =\"35515392\"]\n  4 [size=\"66382507\", alpha=\"0.12\", expect_size=\"19914752\"] \n  4 -> 9 [size =\"19914752\"]\n  5 [size=\"167447893\", alpha=\"0.09\", expect_size=\"50234368\"] \n  5 -> 9 [size =\"50234368\"]\n  6 [size=\"67416747\", alpha=\"0.14\", expect_size=\"20225024\"] \n  6 -> 10 [size =\"20225024\"]\n  6 -> 12 [size =\"20225024\"]\n  6 -> 13 [size =\"20225024\"]\n  7 [size=\"168591360\", alpha=\"0.00\", expect_size=\"50577408\"] \n  8 [size=\"123535360\", alpha=\"0.01\", expect_size=\"37060608\"] \n  8 -> 11 [size =\"37060608\"]\n  9 [size=\"113861973\", alpha=\"0.12\", expect_size=\"34158592\"] \n  9 -> 13 [size =\"34158592\"]\n  10 [size=\"102345387\", alpha=\"0.06\", expect_size=\"30703616\"] \n  10 -> 16 [size =\"30703616\"]\n  10 -> 17 [size =\"30703616\"]\n  11 [size=\"38522880\", alpha=\"0.19\", expect_size=\"11556864\"] \n  11 -> 15 [size =\"11556864\"]\n  11 -> 17 [size =\"11556864\"]\n  12 [size=\"30972587\", alpha=\"0.13\", expect_size=\"9291776\"] \n  12 -> 14 [size =\"9291776\"]\n  13 [size=\"168731307\", alpha=\"0.15\", expect_size=\"50619392\"] \n  13 -> 14 [size =\"50619392\"]\n  13 -> 16 [size =\"50619392\"]\n  13 -> 18 [size =\"50619392\"]\n  14 [size=\"170298027\", alpha=\"0.16\", expect_size=\"51089408\"] \n  14 -> 20 [size =\"51089408\"]\n  15 [size=\"110421333\", alpha=\"0.07\", expect_size=\"33126400\"] \n  16 [size=\"22780587\", alpha=\"0.06\", expect_size=\"6834176\"] \n  17 [size=\"135898453\", alpha=\"0.17\", expect_size=\"40769536\"] \n  17 -> 20 [size =\"40769536\"]\n  18 [size=\"138704213\", alpha=\"0.05\", expect_size=\"41611264\"] \n  18 -> 19 [size =\"41611264\"]\n  19 [size=\"148008960\", alpha=\"0.10\", expect_size=\"44402688\"] \n  19 -> 21 [size =\"44402688\"]\n  19 -> 23 [size =\"44402688\"]\n  20 [size=\"81469440\", alpha=\"0.16\", expect_size=\"24440832\"] \n  20 -> 22 [size =\"24440832\"]\n  20 -> 24 [size =\"24440832\"]\n  21 [size=\"127730347\", alpha=\"0.19\", expect_size=\"38319104\"] \n  22 [size=\"118234453\", alpha=\"0.17\", expect_size=\"35470336\"] \n  23 [size=\"60627627\", alpha=\"0.07\", expect_size=\"18188288\"] \n  23 -> 25 [size =\"18188288\"]\n  24 [size=\"23080960\", alpha=\"0.03\", expect_size=\"6924288\"] \n  24 -> 25 [size =\"6924288\"]\n  25 [size=\"151917227\", alpha=\"0.18\", expect_size=\"45575168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26995200\", alpha=\"0.18\", expect_size=\"10798080\"] \n  1 -> 21 [size =\"10798080\"]\n  1 -> 23 [size =\"10798080\"]\n  1 -> 25 [size =\"10798080\"]\n  2 [size=\"31083520\", alpha=\"0.19\", expect_size=\"12433408\"] \n  2 -> 25 [size =\"12433408\"]\n  3 [size=\"42452480\", alpha=\"0.04\", expect_size=\"16980992\"] \n  4 [size=\"14118400\", alpha=\"0.15\", expect_size=\"5647360\"] \n  4 -> 23 [size =\"5647360\"]\n  4 -> 25 [size =\"5647360\"]\n  5 [size=\"24844800\", alpha=\"0.03\", expect_size=\"9937920\"] \n  5 -> 19 [size =\"9937920\"]\n  5 -> 22 [size =\"9937920\"]\n  6 [size=\"80675840\", alpha=\"0.05\", expect_size=\"32270336\"] \n  7 [size=\"32325120\", alpha=\"0.14\", expect_size=\"12930048\"] \n  7 -> 19 [size =\"12930048\"]\n  8 [size=\"91729920\", alpha=\"0.18\", expect_size=\"36691968\"] \n  8 -> 19 [size =\"36691968\"]\n  8 -> 21 [size =\"36691968\"]\n  8 -> 22 [size =\"36691968\"]\n  8 -> 24 [size =\"36691968\"]\n  9 [size=\"63119360\", alpha=\"0.07\", expect_size=\"25247744\"] \n  9 -> 21 [size =\"25247744\"]\n  9 -> 21 [size =\"25247744\"]\n  9 -> 23 [size =\"25247744\"]\n  10 [size=\"14069760\", alpha=\"0.20\", expect_size=\"5627904\"] \n  10 -> 19 [size =\"5627904\"]\n  10 -> 21 [size =\"5627904\"]\n  11 [size=\"33320960\", alpha=\"0.11\", expect_size=\"13328384\"] \n  11 -> 19 [size =\"13328384\"]\n  11 -> 23 [size =\"13328384\"]\n  11 -> 25 [size =\"13328384\"]\n  12 [size=\"23400960\", alpha=\"0.07\", expect_size=\"9360384\"] \n  12 -> 19 [size =\"9360384\"]\n  12 -> 21 [size =\"9360384\"]\n  12 -> 25 [size =\"9360384\"]\n  13 [size=\"16460800\", alpha=\"0.19\", expect_size=\"6584320\"] \n  13 -> 19 [size =\"6584320\"]\n  13 -> 22 [size =\"6584320\"]\n  14 [size=\"39859200\", alpha=\"0.03\", expect_size=\"15943680\"] \n  14 -> 23 [size =\"15943680\"]\n  15 [size=\"126223360\", alpha=\"0.01\", expect_size=\"50489344\"] \n  15 -> 19 [size =\"50489344\"]\n  15 -> 22 [size =\"50489344\"]\n  16 [size=\"26972160\", alpha=\"0.11\", expect_size=\"10788864\"] \n  16 -> 22 [size =\"10788864\"]\n  16 -> 24 [size =\"10788864\"]\n  17 [size=\"57489920\", alpha=\"0.11\", expect_size=\"22995968\"] \n  17 -> 20 [size =\"22995968\"]\n  17 -> 21 [size =\"22995968\"]\n  18 [size=\"22241280\", alpha=\"0.05\", expect_size=\"8896512\"] \n  18 -> 19 [size =\"8896512\"]\n  18 -> 20 [size =\"8896512\"]\n  18 -> 22 [size =\"8896512\"]\n  19 [size=\"127621120\", alpha=\"0.12\", expect_size=\"51048448\"] \n  20 [size=\"48404480\", alpha=\"0.07\", expect_size=\"19361792\"] \n  21 [size=\"45808640\", alpha=\"0.05\", expect_size=\"18323456\"] \n  22 [size=\"109304320\", alpha=\"0.06\", expect_size=\"43721728\"] \n  23 [size=\"32227840\", alpha=\"0.11\", expect_size=\"12891136\"] \n  24 [size=\"27356160\", alpha=\"0.17\", expect_size=\"10942464\"] \n  25 [size=\"42257920\", alpha=\"0.05\", expect_size=\"16903168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116106240\", alpha=\"0.06\", expect_size=\"46442496\"] \n  1 -> 2 [size =\"46442496\"]\n  2 [size=\"76707840\", alpha=\"0.00\", expect_size=\"30683136\"] \n  2 -> 3 [size =\"30683136\"]\n  3 [size=\"61544960\", alpha=\"0.15\", expect_size=\"24617984\"] \n  3 -> 4 [size =\"24617984\"]\n  4 [size=\"26936320\", alpha=\"0.17\", expect_size=\"10774528\"] \n  4 -> 5 [size =\"10774528\"]\n  5 [size=\"31377920\", alpha=\"0.04\", expect_size=\"12551168\"] \n  5 -> 6 [size =\"12551168\"]\n  6 [size=\"124564480\", alpha=\"0.11\", expect_size=\"49825792\"] \n  6 -> 7 [size =\"49825792\"]\n  7 [size=\"63252480\", alpha=\"0.13\", expect_size=\"25300992\"] \n  7 -> 8 [size =\"25300992\"]\n  8 [size=\"104250880\", alpha=\"0.15\", expect_size=\"41700352\"] \n  8 -> 9 [size =\"41700352\"]\n  9 [size=\"32430080\", alpha=\"0.11\", expect_size=\"12972032\"] \n  9 -> 10 [size =\"12972032\"]\n  10 [size=\"51128320\", alpha=\"0.10\", expect_size=\"20451328\"] \n  10 -> 11 [size =\"20451328\"]\n  11 [size=\"67176960\", alpha=\"0.17\", expect_size=\"26870784\"] \n  11 -> 12 [size =\"26870784\"]\n  12 [size=\"102305280\", alpha=\"0.10\", expect_size=\"40922112\"] \n  12 -> 13 [size =\"40922112\"]\n  13 [size=\"104711680\", alpha=\"0.03\", expect_size=\"41884672\"] \n  13 -> 14 [size =\"41884672\"]\n  14 [size=\"74931200\", alpha=\"0.12\", expect_size=\"29972480\"] \n  14 -> 15 [size =\"29972480\"]\n  15 [size=\"56814080\", alpha=\"0.01\", expect_size=\"22725632\"] \n  15 -> 16 [size =\"22725632\"]\n  16 [size=\"81802240\", alpha=\"0.15\", expect_size=\"32720896\"] \n  16 -> 17 [size =\"32720896\"]\n  17 [size=\"28825600\", alpha=\"0.16\", expect_size=\"11530240\"] \n  17 -> 18 [size =\"11530240\"]\n  18 [size=\"104506880\", alpha=\"0.08\", expect_size=\"41802752\"] \n  18 -> 19 [size =\"41802752\"]\n  19 [size=\"75289600\", alpha=\"0.12\", expect_size=\"30115840\"] \n  19 -> 20 [size =\"30115840\"]\n  20 [size=\"24716800\", alpha=\"0.08\", expect_size=\"9886720\"] \n  20 -> 21 [size =\"9886720\"]\n  21 [size=\"82946560\", alpha=\"0.01\", expect_size=\"33178624\"] \n  21 -> 22 [size =\"33178624\"]\n  22 [size=\"65669120\", alpha=\"0.05\", expect_size=\"26267648\"] \n  22 -> 23 [size =\"26267648\"]\n  23 [size=\"125739520\", alpha=\"0.18\", expect_size=\"50295808\"] \n  23 -> 24 [size =\"50295808\"]\n  24 [size=\"26475520\", alpha=\"0.13\", expect_size=\"10590208\"] \n  24 -> 25 [size =\"10590208\"]\n  25 [size=\"96898560\", alpha=\"0.11\", expect_size=\"38759424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41598976\", alpha=\"0.04\", expect_size=\"20799488\"] \n  1 -> 2 [size =\"20799488\"]\n  2 [size=\"78579712\", alpha=\"0.05\", expect_size=\"39289856\"] \n  2 -> 3 [size =\"39289856\"]\n  3 [size=\"86827008\", alpha=\"0.02\", expect_size=\"43413504\"] \n  3 -> 4 [size =\"43413504\"]\n  4 [size=\"72273920\", alpha=\"0.02\", expect_size=\"36136960\"] \n  4 -> 5 [size =\"36136960\"]\n  5 [size=\"49467392\", alpha=\"0.02\", expect_size=\"24733696\"] \n  5 -> 6 [size =\"24733696\"]\n  6 [size=\"45463552\", alpha=\"0.05\", expect_size=\"22731776\"] \n  6 -> 7 [size =\"22731776\"]\n  7 [size=\"71960576\", alpha=\"0.16\", expect_size=\"35980288\"] \n  7 -> 8 [size =\"35980288\"]\n  8 [size=\"96888832\", alpha=\"0.19\", expect_size=\"48444416\"] \n  8 -> 9 [size =\"48444416\"]\n  9 [size=\"28413952\", alpha=\"0.08\", expect_size=\"14206976\"] \n  9 -> 10 [size =\"14206976\"]\n  10 [size=\"53248000\", alpha=\"0.12\", expect_size=\"26624000\"] \n  10 -> 11 [size =\"26624000\"]\n  11 [size=\"61798400\", alpha=\"0.07\", expect_size=\"30899200\"] \n  11 -> 12 [size =\"30899200\"]\n  12 [size=\"79083520\", alpha=\"0.03\", expect_size=\"39541760\"] \n  12 -> 13 [size =\"39541760\"]\n  13 [size=\"102266880\", alpha=\"0.05\", expect_size=\"51133440\"] \n  13 -> 14 [size =\"51133440\"]\n  14 [size=\"15134720\", alpha=\"0.10\", expect_size=\"7567360\"] \n  14 -> 15 [size =\"7567360\"]\n  15 [size=\"26044416\", alpha=\"0.17\", expect_size=\"13022208\"] \n  15 -> 16 [size =\"13022208\"]\n  16 [size=\"34551808\", alpha=\"0.20\", expect_size=\"17275904\"] \n  16 -> 17 [size =\"17275904\"]\n  17 [size=\"58232832\", alpha=\"0.01\", expect_size=\"29116416\"] \n  17 -> 18 [size =\"29116416\"]\n  18 [size=\"41478144\", alpha=\"0.01\", expect_size=\"20739072\"] \n  18 -> 19 [size =\"20739072\"]\n  19 [size=\"37617664\", alpha=\"0.19\", expect_size=\"18808832\"] \n  19 -> 20 [size =\"18808832\"]\n  20 [size=\"77238272\", alpha=\"0.07\", expect_size=\"38619136\"] \n  20 -> 21 [size =\"38619136\"]\n  21 [size=\"37707776\", alpha=\"0.02\", expect_size=\"18853888\"] \n  21 -> 22 [size =\"18853888\"]\n  22 [size=\"71389184\", alpha=\"0.11\", expect_size=\"35694592\"] \n  22 -> 23 [size =\"35694592\"]\n  23 [size=\"84238336\", alpha=\"0.17\", expect_size=\"42119168\"] \n  23 -> 24 [size =\"42119168\"]\n  24 [size=\"12017664\", alpha=\"0.15\", expect_size=\"6008832\"] \n  24 -> 25 [size =\"6008832\"]\n  25 [size=\"58255360\", alpha=\"0.02\", expect_size=\"29127680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108994560\", alpha=\"0.05\", expect_size=\"32698368\"] \n  1 -> 4 [size =\"32698368\"]\n  1 -> 5 [size =\"32698368\"]\n  1 -> 6 [size =\"32698368\"]\n  1 -> 7 [size =\"32698368\"]\n  2 [size=\"92989440\", alpha=\"0.01\", expect_size=\"27896832\"] \n  2 -> 4 [size =\"27896832\"]\n  2 -> 5 [size =\"27896832\"]\n  2 -> 6 [size =\"27896832\"]\n  2 -> 7 [size =\"27896832\"]\n  3 [size=\"103871147\", alpha=\"0.05\", expect_size=\"31161344\"] \n  3 -> 5 [size =\"31161344\"]\n  3 -> 6 [size =\"31161344\"]\n  3 -> 7 [size =\"31161344\"]\n  4 [size=\"42420907\", alpha=\"0.05\", expect_size=\"12726272\"] \n  4 -> 8 [size =\"12726272\"]\n  4 -> 9 [size =\"12726272\"]\n  4 -> 10 [size =\"12726272\"]\n  5 [size=\"32791893\", alpha=\"0.08\", expect_size=\"9837568\"] \n  5 -> 10 [size =\"9837568\"]\n  5 -> 11 [size =\"9837568\"]\n  6 [size=\"158040747\", alpha=\"0.16\", expect_size=\"47412224\"] \n  6 -> 10 [size =\"47412224\"]\n  6 -> 11 [size =\"47412224\"]\n  7 [size=\"46301867\", alpha=\"0.18\", expect_size=\"13890560\"] \n  7 -> 10 [size =\"13890560\"]\n  7 -> 11 [size =\"13890560\"]\n  8 [size=\"157822293\", alpha=\"0.04\", expect_size=\"47346688\"] \n  8 -> 12 [size =\"47346688\"]\n  8 -> 13 [size =\"47346688\"]\n  8 -> 14 [size =\"47346688\"]\n  9 [size=\"101539840\", alpha=\"0.14\", expect_size=\"30461952\"] \n  9 -> 12 [size =\"30461952\"]\n  9 -> 13 [size =\"30461952\"]\n  9 -> 14 [size =\"30461952\"]\n  10 [size=\"104823467\", alpha=\"0.03\", expect_size=\"31447040\"] \n  10 -> 12 [size =\"31447040\"]\n  10 -> 13 [size =\"31447040\"]\n  11 [size=\"138233173\", alpha=\"0.15\", expect_size=\"41469952\"] \n  11 -> 12 [size =\"41469952\"]\n  11 -> 13 [size =\"41469952\"]\n  12 [size=\"21312853\", alpha=\"0.17\", expect_size=\"6393856\"] \n  12 -> 15 [size =\"6393856\"]\n  12 -> 16 [size =\"6393856\"]\n  13 [size=\"28361387\", alpha=\"0.11\", expect_size=\"8508416\"] \n  13 -> 15 [size =\"8508416\"]\n  14 [size=\"67846827\", alpha=\"0.04\", expect_size=\"20354048\"] \n  14 -> 17 [size =\"20354048\"]\n  15 [size=\"104557227\", alpha=\"0.11\", expect_size=\"31367168\"] \n  15 -> 18 [size =\"31367168\"]\n  15 -> 19 [size =\"31367168\"]\n  15 -> 20 [size =\"31367168\"]\n  16 [size=\"171059200\", alpha=\"0.12\", expect_size=\"51317760\"] \n  16 -> 18 [size =\"51317760\"]\n  16 -> 19 [size =\"51317760\"]\n  16 -> 20 [size =\"51317760\"]\n  16 -> 21 [size =\"51317760\"]\n  17 [size=\"135697067\", alpha=\"0.13\", expect_size=\"40709120\"] \n  17 -> 18 [size =\"40709120\"]\n  17 -> 19 [size =\"40709120\"]\n  17 -> 21 [size =\"40709120\"]\n  18 [size=\"118572373\", alpha=\"0.12\", expect_size=\"35571712\"] \n  18 -> 22 [size =\"35571712\"]\n  18 -> 23 [size =\"35571712\"]\n  18 -> 24 [size =\"35571712\"]\n  19 [size=\"148841813\", alpha=\"0.10\", expect_size=\"44652544\"] \n  19 -> 22 [size =\"44652544\"]\n  19 -> 23 [size =\"44652544\"]\n  19 -> 24 [size =\"44652544\"]\n  20 [size=\"97754453\", alpha=\"0.08\", expect_size=\"29326336\"] \n  20 -> 22 [size =\"29326336\"]\n  20 -> 23 [size =\"29326336\"]\n  20 -> 24 [size =\"29326336\"]\n  21 [size=\"121623893\", alpha=\"0.17\", expect_size=\"36487168\"] \n  21 -> 22 [size =\"36487168\"]\n  21 -> 24 [size =\"36487168\"]\n  22 [size=\"86114987\", alpha=\"0.16\", expect_size=\"25834496\"] \n  22 -> 25 [size =\"25834496\"]\n  23 [size=\"62907733\", alpha=\"0.05\", expect_size=\"18872320\"] \n  24 [size=\"146240853\", alpha=\"0.18\", expect_size=\"43872256\"] \n  25 [size=\"17848320\", alpha=\"0.13\", expect_size=\"5354496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111674027\", alpha=\"0.14\", expect_size=\"33502208\"] \n  1 -> 2 [size =\"33502208\"]\n  1 -> 3 [size =\"33502208\"]\n  2 [size=\"24275627\", alpha=\"0.05\", expect_size=\"7282688\"] \n  2 -> 4 [size =\"7282688\"]\n  2 -> 5 [size =\"7282688\"]\n  3 [size=\"92296533\", alpha=\"0.03\", expect_size=\"27688960\"] \n  3 -> 4 [size =\"27688960\"]\n  3 -> 5 [size =\"27688960\"]\n  4 [size=\"96781653\", alpha=\"0.12\", expect_size=\"29034496\"] \n  4 -> 6 [size =\"29034496\"]\n  4 -> 7 [size =\"29034496\"]\n  5 [size=\"168451413\", alpha=\"0.00\", expect_size=\"50535424\"] \n  5 -> 6 [size =\"50535424\"]\n  5 -> 7 [size =\"50535424\"]\n  6 [size=\"128160427\", alpha=\"0.20\", expect_size=\"38448128\"] \n  6 -> 8 [size =\"38448128\"]\n  6 -> 9 [size =\"38448128\"]\n  7 [size=\"55903573\", alpha=\"0.18\", expect_size=\"16771072\"] \n  7 -> 8 [size =\"16771072\"]\n  8 [size=\"43458560\", alpha=\"0.04\", expect_size=\"13037568\"] \n  8 -> 10 [size =\"13037568\"]\n  9 [size=\"152746667\", alpha=\"0.19\", expect_size=\"45824000\"] \n  9 -> 10 [size =\"45824000\"]\n  9 -> 11 [size =\"45824000\"]\n  10 [size=\"43625813\", alpha=\"0.02\", expect_size=\"13087744\"] \n  10 -> 12 [size =\"13087744\"]\n  10 -> 13 [size =\"13087744\"]\n  11 [size=\"49158827\", alpha=\"0.05\", expect_size=\"14747648\"] \n  11 -> 12 [size =\"14747648\"]\n  12 [size=\"157713067\", alpha=\"0.06\", expect_size=\"47313920\"] \n  12 -> 14 [size =\"47313920\"]\n  13 [size=\"39048533\", alpha=\"0.12\", expect_size=\"11714560\"] \n  14 [size=\"61040640\", alpha=\"0.17\", expect_size=\"18312192\"] \n  14 -> 15 [size =\"18312192\"]\n  14 -> 16 [size =\"18312192\"]\n  15 [size=\"156535467\", alpha=\"0.19\", expect_size=\"46960640\"] \n  15 -> 17 [size =\"46960640\"]\n  16 [size=\"160436907\", alpha=\"0.01\", expect_size=\"48131072\"] \n  16 -> 18 [size =\"48131072\"]\n  17 [size=\"159436800\", alpha=\"0.15\", expect_size=\"47831040\"] \n  17 -> 19 [size =\"47831040\"]\n  17 -> 20 [size =\"47831040\"]\n  18 [size=\"141059413\", alpha=\"0.03\", expect_size=\"42317824\"] \n  18 -> 20 [size =\"42317824\"]\n  19 [size=\"170345813\", alpha=\"0.08\", expect_size=\"51103744\"] \n  19 -> 21 [size =\"51103744\"]\n  20 [size=\"164444160\", alpha=\"0.10\", expect_size=\"49333248\"] \n  20 -> 21 [size =\"49333248\"]\n  21 [size=\"24709120\", alpha=\"0.03\", expect_size=\"7412736\"] \n  21 -> 22 [size =\"7412736\"]\n  21 -> 23 [size =\"7412736\"]\n  22 [size=\"60375040\", alpha=\"0.18\", expect_size=\"18112512\"] \n  22 -> 24 [size =\"18112512\"]\n  23 [size=\"105195520\", alpha=\"0.02\", expect_size=\"31558656\"] \n  24 [size=\"44605440\", alpha=\"0.17\", expect_size=\"13381632\"] \n  24 -> 25 [size =\"13381632\"]\n  25 [size=\"21056853\", alpha=\"0.10\", expect_size=\"6317056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89971200\", alpha=\"0.15\", expect_size=\"35988480\"] \n  1 -> 23 [size =\"35988480\"]\n  2 [size=\"115650560\", alpha=\"0.08\", expect_size=\"46260224\"] \n  2 -> 20 [size =\"46260224\"]\n  2 -> 21 [size =\"46260224\"]\n  2 -> 22 [size =\"46260224\"]\n  2 -> 23 [size =\"46260224\"]\n  2 -> 24 [size =\"46260224\"]\n  3 [size=\"50127360\", alpha=\"0.16\", expect_size=\"20050944\"] \n  3 -> 23 [size =\"20050944\"]\n  3 -> 24 [size =\"20050944\"]\n  3 -> 25 [size =\"20050944\"]\n  4 [size=\"88542720\", alpha=\"0.15\", expect_size=\"35417088\"] \n  4 -> 19 [size =\"35417088\"]\n  4 -> 21 [size =\"35417088\"]\n  4 -> 23 [size =\"35417088\"]\n  5 [size=\"75576320\", alpha=\"0.10\", expect_size=\"30230528\"] \n  5 -> 21 [size =\"30230528\"]\n  5 -> 22 [size =\"30230528\"]\n  6 [size=\"40465920\", alpha=\"0.08\", expect_size=\"16186368\"] \n  6 -> 20 [size =\"16186368\"]\n  6 -> 21 [size =\"16186368\"]\n  6 -> 23 [size =\"16186368\"]\n  7 [size=\"119966720\", alpha=\"0.05\", expect_size=\"47986688\"] \n  7 -> 22 [size =\"47986688\"]\n  7 -> 23 [size =\"47986688\"]\n  8 [size=\"60346880\", alpha=\"0.14\", expect_size=\"24138752\"] \n  8 -> 20 [size =\"24138752\"]\n  9 [size=\"77795840\", alpha=\"0.16\", expect_size=\"31118336\"] \n  9 -> 24 [size =\"31118336\"]\n  10 [size=\"93096960\", alpha=\"0.11\", expect_size=\"37238784\"] \n  10 -> 24 [size =\"37238784\"]\n  11 [size=\"69460480\", alpha=\"0.16\", expect_size=\"27784192\"] \n  11 -> 22 [size =\"27784192\"]\n  11 -> 23 [size =\"27784192\"]\n  12 [size=\"41502720\", alpha=\"0.04\", expect_size=\"16601088\"] \n  12 -> 21 [size =\"16601088\"]\n  12 -> 22 [size =\"16601088\"]\n  12 -> 25 [size =\"16601088\"]\n  13 [size=\"88640000\", alpha=\"0.14\", expect_size=\"35456000\"] \n  13 -> 21 [size =\"35456000\"]\n  13 -> 24 [size =\"35456000\"]\n  14 [size=\"65392640\", alpha=\"0.08\", expect_size=\"26157056\"] \n  14 -> 19 [size =\"26157056\"]\n  14 -> 20 [size =\"26157056\"]\n  14 -> 21 [size =\"26157056\"]\n  15 [size=\"37304320\", alpha=\"0.18\", expect_size=\"14921728\"] \n  15 -> 20 [size =\"14921728\"]\n  16 [size=\"95037440\", alpha=\"0.07\", expect_size=\"38014976\"] \n  16 -> 19 [size =\"38014976\"]\n  16 -> 22 [size =\"38014976\"]\n  16 -> 23 [size =\"38014976\"]\n  16 -> 25 [size =\"38014976\"]\n  17 [size=\"23680000\", alpha=\"0.19\", expect_size=\"9472000\"] \n  17 -> 19 [size =\"9472000\"]\n  17 -> 21 [size =\"9472000\"]\n  17 -> 22 [size =\"9472000\"]\n  18 [size=\"53329920\", alpha=\"0.09\", expect_size=\"21331968\"] \n  18 -> 21 [size =\"21331968\"]\n  19 [size=\"19499520\", alpha=\"0.07\", expect_size=\"7799808\"] \n  20 [size=\"112266240\", alpha=\"0.06\", expect_size=\"44906496\"] \n  21 [size=\"56399360\", alpha=\"0.18\", expect_size=\"22559744\"] \n  22 [size=\"32320000\", alpha=\"0.08\", expect_size=\"12928000\"] \n  23 [size=\"58772480\", alpha=\"0.04\", expect_size=\"23508992\"] \n  24 [size=\"22776320\", alpha=\"0.13\", expect_size=\"9110528\"] \n  25 [size=\"68759040\", alpha=\"0.12\", expect_size=\"27503616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34070528\", alpha=\"0.02\", expect_size=\"17035264\"] \n  1 -> 23 [size =\"17035264\"]\n  2 [size=\"86224896\", alpha=\"0.20\", expect_size=\"43112448\"] \n  3 [size=\"96821248\", alpha=\"0.06\", expect_size=\"48410624\"] \n  3 -> 23 [size =\"48410624\"]\n  4 [size=\"100270080\", alpha=\"0.07\", expect_size=\"50135040\"] \n  4 -> 25 [size =\"50135040\"]\n  5 [size=\"57542656\", alpha=\"0.07\", expect_size=\"28771328\"] \n  5 -> 25 [size =\"28771328\"]\n  6 [size=\"80664576\", alpha=\"0.04\", expect_size=\"40332288\"] \n  6 -> 25 [size =\"40332288\"]\n  7 [size=\"13375488\", alpha=\"0.03\", expect_size=\"6687744\"] \n  8 [size=\"21716992\", alpha=\"0.03\", expect_size=\"10858496\"] \n  9 [size=\"99180544\", alpha=\"0.09\", expect_size=\"49590272\"] \n  9 -> 25 [size =\"49590272\"]\n  10 [size=\"83392512\", alpha=\"0.08\", expect_size=\"41696256\"] \n  10 -> 23 [size =\"41696256\"]\n  11 [size=\"47503360\", alpha=\"0.16\", expect_size=\"23751680\"] \n  11 -> 23 [size =\"23751680\"]\n  12 [size=\"59197440\", alpha=\"0.09\", expect_size=\"29598720\"] \n  12 -> 23 [size =\"29598720\"]\n  13 [size=\"57425920\", alpha=\"0.01\", expect_size=\"28712960\"] \n  13 -> 23 [size =\"28712960\"]\n  14 [size=\"86863872\", alpha=\"0.01\", expect_size=\"43431936\"] \n  14 -> 24 [size =\"43431936\"]\n  15 [size=\"25878528\", alpha=\"0.10\", expect_size=\"12939264\"] \n  16 [size=\"57858048\", alpha=\"0.06\", expect_size=\"28929024\"] \n  17 [size=\"76972032\", alpha=\"0.10\", expect_size=\"38486016\"] \n  18 [size=\"89976832\", alpha=\"0.18\", expect_size=\"44988416\"] \n  19 [size=\"104048640\", alpha=\"0.13\", expect_size=\"52024320\"] \n  19 -> 23 [size =\"52024320\"]\n  20 [size=\"51623936\", alpha=\"0.06\", expect_size=\"25811968\"] \n  21 [size=\"89004032\", alpha=\"0.05\", expect_size=\"44502016\"] \n  21 -> 23 [size =\"44502016\"]\n  22 [size=\"70090752\", alpha=\"0.19\", expect_size=\"35045376\"] \n  23 [size=\"17479680\", alpha=\"0.12\", expect_size=\"8739840\"] \n  24 [size=\"24408064\", alpha=\"0.03\", expect_size=\"12204032\"] \n  25 [size=\"30078976\", alpha=\"0.05\", expect_size=\"15039488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21594112\", alpha=\"0.13\", expect_size=\"10797056\"] \n  1 -> 2 [size =\"10797056\"]\n  2 [size=\"71036928\", alpha=\"0.08\", expect_size=\"35518464\"] \n  2 -> 3 [size =\"35518464\"]\n  3 [size=\"39976960\", alpha=\"0.15\", expect_size=\"19988480\"] \n  3 -> 4 [size =\"19988480\"]\n  4 [size=\"91572224\", alpha=\"0.10\", expect_size=\"45786112\"] \n  4 -> 5 [size =\"45786112\"]\n  5 [size=\"79171584\", alpha=\"0.11\", expect_size=\"39585792\"] \n  5 -> 6 [size =\"39585792\"]\n  6 [size=\"60737536\", alpha=\"0.07\", expect_size=\"30368768\"] \n  6 -> 7 [size =\"30368768\"]\n  7 [size=\"41355264\", alpha=\"0.16\", expect_size=\"20677632\"] \n  7 -> 8 [size =\"20677632\"]\n  8 [size=\"28307456\", alpha=\"0.12\", expect_size=\"14153728\"] \n  8 -> 9 [size =\"14153728\"]\n  9 [size=\"95201280\", alpha=\"0.06\", expect_size=\"47600640\"] \n  9 -> 10 [size =\"47600640\"]\n  10 [size=\"29958144\", alpha=\"0.13\", expect_size=\"14979072\"] \n  10 -> 11 [size =\"14979072\"]\n  11 [size=\"66840576\", alpha=\"0.00\", expect_size=\"33420288\"] \n  11 -> 12 [size =\"33420288\"]\n  12 [size=\"33193984\", alpha=\"0.09\", expect_size=\"16596992\"] \n  12 -> 13 [size =\"16596992\"]\n  13 [size=\"72087552\", alpha=\"0.16\", expect_size=\"36043776\"] \n  13 -> 14 [size =\"36043776\"]\n  14 [size=\"50409472\", alpha=\"0.03\", expect_size=\"25204736\"] \n  14 -> 15 [size =\"25204736\"]\n  15 [size=\"99295232\", alpha=\"0.12\", expect_size=\"49647616\"] \n  15 -> 16 [size =\"49647616\"]\n  16 [size=\"56633344\", alpha=\"0.07\", expect_size=\"28316672\"] \n  16 -> 17 [size =\"28316672\"]\n  17 [size=\"87580672\", alpha=\"0.11\", expect_size=\"43790336\"] \n  17 -> 18 [size =\"43790336\"]\n  18 [size=\"70166528\", alpha=\"0.00\", expect_size=\"35083264\"] \n  18 -> 19 [size =\"35083264\"]\n  19 [size=\"31879168\", alpha=\"0.19\", expect_size=\"15939584\"] \n  19 -> 20 [size =\"15939584\"]\n  20 [size=\"58064896\", alpha=\"0.10\", expect_size=\"29032448\"] \n  20 -> 21 [size =\"29032448\"]\n  21 [size=\"24838144\", alpha=\"0.03\", expect_size=\"12419072\"] \n  21 -> 22 [size =\"12419072\"]\n  22 [size=\"26546176\", alpha=\"0.08\", expect_size=\"13273088\"] \n  22 -> 23 [size =\"13273088\"]\n  23 [size=\"67223552\", alpha=\"0.20\", expect_size=\"33611776\"] \n  23 -> 24 [size =\"33611776\"]\n  24 [size=\"47599616\", alpha=\"0.09\", expect_size=\"23799808\"] \n  24 -> 25 [size =\"23799808\"]\n  25 [size=\"61540352\", alpha=\"0.13\", expect_size=\"30770176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129030827\", alpha=\"0.04\", expect_size=\"38709248\"] \n  1 -> 14 [size =\"38709248\"]\n  1 -> 16 [size =\"38709248\"]\n  2 [size=\"117104640\", alpha=\"0.11\", expect_size=\"35131392\"] \n  2 -> 14 [size =\"35131392\"]\n  2 -> 20 [size =\"35131392\"]\n  3 [size=\"79677440\", alpha=\"0.10\", expect_size=\"23903232\"] \n  3 -> 14 [size =\"23903232\"]\n  3 -> 18 [size =\"23903232\"]\n  4 [size=\"115080533\", alpha=\"0.04\", expect_size=\"34524160\"] \n  4 -> 15 [size =\"34524160\"]\n  4 -> 17 [size =\"34524160\"]\n  4 -> 18 [size =\"34524160\"]\n  4 -> 19 [size =\"34524160\"]\n  5 [size=\"71953067\", alpha=\"0.08\", expect_size=\"21585920\"] \n  5 -> 15 [size =\"21585920\"]\n  6 [size=\"112674133\", alpha=\"0.18\", expect_size=\"33802240\"] \n  6 -> 13 [size =\"33802240\"]\n  6 -> 15 [size =\"33802240\"]\n  7 [size=\"126030507\", alpha=\"0.12\", expect_size=\"37809152\"] \n  7 -> 14 [size =\"37809152\"]\n  7 -> 16 [size =\"37809152\"]\n  7 -> 19 [size =\"37809152\"]\n  8 [size=\"126747307\", alpha=\"0.10\", expect_size=\"38024192\"] \n  8 -> 13 [size =\"38024192\"]\n  8 -> 20 [size =\"38024192\"]\n  8 -> 21 [size =\"38024192\"]\n  9 [size=\"136127147\", alpha=\"0.04\", expect_size=\"40838144\"] \n  9 -> 13 [size =\"40838144\"]\n  9 -> 21 [size =\"40838144\"]\n  10 [size=\"26115413\", alpha=\"0.15\", expect_size=\"7834624\"] \n  10 -> 15 [size =\"7834624\"]\n  10 -> 18 [size =\"7834624\"]\n  10 -> 19 [size =\"7834624\"]\n  11 [size=\"103652693\", alpha=\"0.15\", expect_size=\"31095808\"] \n  11 -> 15 [size =\"31095808\"]\n  11 -> 19 [size =\"31095808\"]\n  11 -> 19 [size =\"31095808\"]\n  11 -> 21 [size =\"31095808\"]\n  12 [size=\"131590827\", alpha=\"0.13\", expect_size=\"39477248\"] \n  12 -> 14 [size =\"39477248\"]\n  12 -> 15 [size =\"39477248\"]\n  12 -> 16 [size =\"39477248\"]\n  13 [size=\"60719787\", alpha=\"0.19\", expect_size=\"18215936\"] \n  13 -> 23 [size =\"18215936\"]\n  13 -> 24 [size =\"18215936\"]\n  13 -> 25 [size =\"18215936\"]\n  14 [size=\"137168213\", alpha=\"0.19\", expect_size=\"41150464\"] \n  14 -> 22 [size =\"41150464\"]\n  14 -> 23 [size =\"41150464\"]\n  14 -> 24 [size =\"41150464\"]\n  14 -> 25 [size =\"41150464\"]\n  15 [size=\"171199147\", alpha=\"0.04\", expect_size=\"51359744\"] \n  15 -> 22 [size =\"51359744\"]\n  15 -> 24 [size =\"51359744\"]\n  16 [size=\"79158613\", alpha=\"0.19\", expect_size=\"23747584\"] \n  17 [size=\"63576747\", alpha=\"0.16\", expect_size=\"19073024\"] \n  17 -> 23 [size =\"19073024\"]\n  18 [size=\"158955520\", alpha=\"0.04\", expect_size=\"47686656\"] \n  18 -> 22 [size =\"47686656\"]\n  18 -> 23 [size =\"47686656\"]\n  19 [size=\"78718293\", alpha=\"0.11\", expect_size=\"23615488\"] \n  19 -> 24 [size =\"23615488\"]\n  20 [size=\"111011840\", alpha=\"0.15\", expect_size=\"33303552\"] \n  21 [size=\"70297600\", alpha=\"0.14\", expect_size=\"21089280\"] \n  22 [size=\"31914667\", alpha=\"0.05\", expect_size=\"9574400\"] \n  23 [size=\"131269973\", alpha=\"0.04\", expect_size=\"39380992\"] \n  24 [size=\"121159680\", alpha=\"0.15\", expect_size=\"36347904\"] \n  25 [size=\"110185813\", alpha=\"0.14\", expect_size=\"33055744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23150080\", alpha=\"0.13\", expect_size=\"9260032\"] \n  1 -> 5 [size =\"9260032\"]\n  1 -> 6 [size =\"9260032\"]\n  2 [size=\"127203840\", alpha=\"0.02\", expect_size=\"50881536\"] \n  2 -> 4 [size =\"50881536\"]\n  2 -> 5 [size =\"50881536\"]\n  2 -> 8 [size =\"50881536\"]\n  3 [size=\"82575360\", alpha=\"0.19\", expect_size=\"33030144\"] \n  3 -> 4 [size =\"33030144\"]\n  3 -> 6 [size =\"33030144\"]\n  3 -> 7 [size =\"33030144\"]\n  4 [size=\"104038400\", alpha=\"0.16\", expect_size=\"41615360\"] \n  4 -> 10 [size =\"41615360\"]\n  4 -> 11 [size =\"41615360\"]\n  5 [size=\"22888960\", alpha=\"0.16\", expect_size=\"9155584\"] \n  5 -> 9 [size =\"9155584\"]\n  5 -> 11 [size =\"9155584\"]\n  6 [size=\"60554240\", alpha=\"0.12\", expect_size=\"24221696\"] \n  6 -> 9 [size =\"24221696\"]\n  6 -> 12 [size =\"24221696\"]\n  6 -> 13 [size =\"24221696\"]\n  7 [size=\"111249920\", alpha=\"0.15\", expect_size=\"44499968\"] \n  7 -> 9 [size =\"44499968\"]\n  7 -> 10 [size =\"44499968\"]\n  7 -> 11 [size =\"44499968\"]\n  7 -> 12 [size =\"44499968\"]\n  8 [size=\"73587200\", alpha=\"0.00\", expect_size=\"29434880\"] \n  8 -> 9 [size =\"29434880\"]\n  8 -> 10 [size =\"29434880\"]\n  8 -> 11 [size =\"29434880\"]\n  8 -> 13 [size =\"29434880\"]\n  9 [size=\"86005760\", alpha=\"0.16\", expect_size=\"34402304\"] \n  9 -> 17 [size =\"34402304\"]\n  10 [size=\"81070080\", alpha=\"0.13\", expect_size=\"32428032\"] \n  11 [size=\"43688960\", alpha=\"0.16\", expect_size=\"17475584\"] \n  11 -> 15 [size =\"17475584\"]\n  12 [size=\"118438400\", alpha=\"0.13\", expect_size=\"47375360\"] \n  12 -> 14 [size =\"47375360\"]\n  12 -> 15 [size =\"47375360\"]\n  12 -> 16 [size =\"47375360\"]\n  13 [size=\"129684480\", alpha=\"0.14\", expect_size=\"51873792\"] \n  13 -> 14 [size =\"51873792\"]\n  13 -> 15 [size =\"51873792\"]\n  14 [size=\"125068800\", alpha=\"0.16\", expect_size=\"50027520\"] \n  14 -> 19 [size =\"50027520\"]\n  14 -> 20 [size =\"50027520\"]\n  15 [size=\"100997120\", alpha=\"0.03\", expect_size=\"40398848\"] \n  15 -> 21 [size =\"40398848\"]\n  16 [size=\"79134720\", alpha=\"0.02\", expect_size=\"31653888\"] \n  16 -> 18 [size =\"31653888\"]\n  16 -> 20 [size =\"31653888\"]\n  17 [size=\"31639040\", alpha=\"0.03\", expect_size=\"12655616\"] \n  17 -> 18 [size =\"12655616\"]\n  17 -> 20 [size =\"12655616\"]\n  17 -> 22 [size =\"12655616\"]\n  18 [size=\"122708480\", alpha=\"0.19\", expect_size=\"49083392\"] \n  18 -> 23 [size =\"49083392\"]\n  18 -> 24 [size =\"49083392\"]\n  18 -> 25 [size =\"49083392\"]\n  19 [size=\"125081600\", alpha=\"0.03\", expect_size=\"50032640\"] \n  19 -> 25 [size =\"50032640\"]\n  20 [size=\"100439040\", alpha=\"0.00\", expect_size=\"40175616\"] \n  20 -> 24 [size =\"40175616\"]\n  21 [size=\"59151360\", alpha=\"0.20\", expect_size=\"23660544\"] \n  21 -> 25 [size =\"23660544\"]\n  22 [size=\"36746240\", alpha=\"0.18\", expect_size=\"14698496\"] \n  22 -> 24 [size =\"14698496\"]\n  23 [size=\"114424320\", alpha=\"0.09\", expect_size=\"45769728\"] \n  24 [size=\"81121280\", alpha=\"0.14\", expect_size=\"32448512\"] \n  25 [size=\"55301120\", alpha=\"0.02\", expect_size=\"22120448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57331712\", alpha=\"0.20\", expect_size=\"28665856\"] \n  1 -> 3 [size =\"28665856\"]\n  2 [size=\"61775872\", alpha=\"0.18\", expect_size=\"30887936\"] \n  3 [size=\"41715712\", alpha=\"0.05\", expect_size=\"20857856\"] \n  3 -> 4 [size =\"20857856\"]\n  3 -> 5 [size =\"20857856\"]\n  4 [size=\"53116928\", alpha=\"0.04\", expect_size=\"26558464\"] \n  4 -> 7 [size =\"26558464\"]\n  5 [size=\"96167936\", alpha=\"0.06\", expect_size=\"48083968\"] \n  5 -> 6 [size =\"48083968\"]\n  6 [size=\"56072192\", alpha=\"0.01\", expect_size=\"28036096\"] \n  6 -> 8 [size =\"28036096\"]\n  6 -> 9 [size =\"28036096\"]\n  7 [size=\"69152768\", alpha=\"0.06\", expect_size=\"34576384\"] \n  8 [size=\"93788160\", alpha=\"0.04\", expect_size=\"46894080\"] \n  9 [size=\"40804352\", alpha=\"0.07\", expect_size=\"20402176\"] \n  9 -> 10 [size =\"20402176\"]\n  10 [size=\"84879360\", alpha=\"0.06\", expect_size=\"42439680\"] \n  10 -> 11 [size =\"42439680\"]\n  11 [size=\"70866944\", alpha=\"0.00\", expect_size=\"35433472\"] \n  11 -> 12 [size =\"35433472\"]\n  12 [size=\"70035456\", alpha=\"0.18\", expect_size=\"35017728\"] \n  12 -> 13 [size =\"35017728\"]\n  13 [size=\"58427392\", alpha=\"0.09\", expect_size=\"29213696\"] \n  13 -> 14 [size =\"29213696\"]\n  13 -> 15 [size =\"29213696\"]\n  14 [size=\"80644096\", alpha=\"0.20\", expect_size=\"40322048\"] \n  14 -> 16 [size =\"40322048\"]\n  15 [size=\"99448832\", alpha=\"0.03\", expect_size=\"49724416\"] \n  15 -> 17 [size =\"49724416\"]\n  16 [size=\"33888256\", alpha=\"0.02\", expect_size=\"16944128\"] \n  17 [size=\"37916672\", alpha=\"0.08\", expect_size=\"18958336\"] \n  17 -> 18 [size =\"18958336\"]\n  18 [size=\"66705408\", alpha=\"0.07\", expect_size=\"33352704\"] \n  18 -> 19 [size =\"33352704\"]\n  19 [size=\"84338688\", alpha=\"0.14\", expect_size=\"42169344\"] \n  19 -> 20 [size =\"42169344\"]\n  20 [size=\"24576000\", alpha=\"0.06\", expect_size=\"12288000\"] \n  20 -> 21 [size =\"12288000\"]\n  21 [size=\"54177792\", alpha=\"0.07\", expect_size=\"27088896\"] \n  21 -> 22 [size =\"27088896\"]\n  22 [size=\"55050240\", alpha=\"0.19\", expect_size=\"27525120\"] \n  22 -> 23 [size =\"27525120\"]\n  22 -> 24 [size =\"27525120\"]\n  23 [size=\"44691456\", alpha=\"0.18\", expect_size=\"22345728\"] \n  24 [size=\"86835200\", alpha=\"0.06\", expect_size=\"43417600\"] \n  24 -> 25 [size =\"43417600\"]\n  25 [size=\"85303296\", alpha=\"0.12\", expect_size=\"42651648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91163307\", alpha=\"0.02\", expect_size=\"27348992\"] \n  1 -> 11 [size =\"27348992\"]\n  1 -> 13 [size =\"27348992\"]\n  1 -> 14 [size =\"27348992\"]\n  1 -> 17 [size =\"27348992\"]\n  2 [size=\"101792427\", alpha=\"0.07\", expect_size=\"30537728\"] \n  2 -> 10 [size =\"30537728\"]\n  2 -> 15 [size =\"30537728\"]\n  2 -> 16 [size =\"30537728\"]\n  2 -> 17 [size =\"30537728\"]\n  3 [size=\"145558187\", alpha=\"0.05\", expect_size=\"43667456\"] \n  3 -> 12 [size =\"43667456\"]\n  3 -> 16 [size =\"43667456\"]\n  4 [size=\"49643520\", alpha=\"0.09\", expect_size=\"14893056\"] \n  4 -> 13 [size =\"14893056\"]\n  4 -> 17 [size =\"14893056\"]\n  4 -> 18 [size =\"14893056\"]\n  5 [size=\"115343360\", alpha=\"0.07\", expect_size=\"34603008\"] \n  5 -> 13 [size =\"34603008\"]\n  6 [size=\"154600107\", alpha=\"0.03\", expect_size=\"46380032\"] \n  7 [size=\"117978453\", alpha=\"0.02\", expect_size=\"35393536\"] \n  8 [size=\"139349333\", alpha=\"0.03\", expect_size=\"41804800\"] \n  8 -> 13 [size =\"41804800\"]\n  8 -> 14 [size =\"41804800\"]\n  9 [size=\"68563627\", alpha=\"0.06\", expect_size=\"20569088\"] \n  9 -> 15 [size =\"20569088\"]\n  9 -> 17 [size =\"20569088\"]\n  10 [size=\"36184747\", alpha=\"0.05\", expect_size=\"10855424\"] \n  10 -> 20 [size =\"10855424\"]\n  11 [size=\"63993173\", alpha=\"0.17\", expect_size=\"19197952\"] \n  12 [size=\"75970560\", alpha=\"0.14\", expect_size=\"22791168\"] \n  13 [size=\"133741227\", alpha=\"0.02\", expect_size=\"40122368\"] \n  13 -> 19 [size =\"40122368\"]\n  13 -> 22 [size =\"40122368\"]\n  14 [size=\"174155093\", alpha=\"0.17\", expect_size=\"52246528\"] \n  14 -> 20 [size =\"52246528\"]\n  14 -> 23 [size =\"52246528\"]\n  15 [size=\"86708907\", alpha=\"0.13\", expect_size=\"26012672\"] \n  15 -> 22 [size =\"26012672\"]\n  15 -> 23 [size =\"26012672\"]\n  16 [size=\"145367040\", alpha=\"0.04\", expect_size=\"43610112\"] \n  16 -> 23 [size =\"43610112\"]\n  16 -> 23 [size =\"43610112\"]\n  17 [size=\"165457920\", alpha=\"0.19\", expect_size=\"49637376\"] \n  17 -> 21 [size =\"49637376\"]\n  17 -> 22 [size =\"49637376\"]\n  17 -> 23 [size =\"49637376\"]\n  18 [size=\"25432747\", alpha=\"0.19\", expect_size=\"7629824\"] \n  18 -> 21 [size =\"7629824\"]\n  18 -> 22 [size =\"7629824\"]\n  18 -> 24 [size =\"7629824\"]\n  18 -> 25 [size =\"7629824\"]\n  19 [size=\"48063147\", alpha=\"0.03\", expect_size=\"14418944\"] \n  20 [size=\"97450667\", alpha=\"0.04\", expect_size=\"29235200\"] \n  21 [size=\"135806293\", alpha=\"0.14\", expect_size=\"40741888\"] \n  22 [size=\"111653547\", alpha=\"0.15\", expect_size=\"33496064\"] \n  23 [size=\"63737173\", alpha=\"0.12\", expect_size=\"19121152\"] \n  24 [size=\"78165333\", alpha=\"0.13\", expect_size=\"23449600\"] \n  25 [size=\"57678507\", alpha=\"0.06\", expect_size=\"17303552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61870080\", alpha=\"0.09\", expect_size=\"18561024\"] \n  1 -> 20 [size =\"18561024\"]\n  2 [size=\"98918400\", alpha=\"0.09\", expect_size=\"29675520\"] \n  2 -> 23 [size =\"29675520\"]\n  2 -> 24 [size =\"29675520\"]\n  3 [size=\"171322027\", alpha=\"0.08\", expect_size=\"51396608\"] \n  3 -> 19 [size =\"51396608\"]\n  3 -> 21 [size =\"51396608\"]\n  3 -> 22 [size =\"51396608\"]\n  4 [size=\"30122667\", alpha=\"0.18\", expect_size=\"9036800\"] \n  4 -> 19 [size =\"9036800\"]\n  4 -> 20 [size =\"9036800\"]\n  4 -> 23 [size =\"9036800\"]\n  5 [size=\"84585813\", alpha=\"0.03\", expect_size=\"25375744\"] \n  5 -> 19 [size =\"25375744\"]\n  5 -> 21 [size =\"25375744\"]\n  5 -> 25 [size =\"25375744\"]\n  6 [size=\"159133013\", alpha=\"0.07\", expect_size=\"47739904\"] \n  6 -> 19 [size =\"47739904\"]\n  6 -> 22 [size =\"47739904\"]\n  7 [size=\"138789547\", alpha=\"0.04\", expect_size=\"41636864\"] \n  8 [size=\"72605013\", alpha=\"0.09\", expect_size=\"21781504\"] \n  8 -> 25 [size =\"21781504\"]\n  9 [size=\"105803093\", alpha=\"0.08\", expect_size=\"31740928\"] \n  10 [size=\"86596267\", alpha=\"0.19\", expect_size=\"25978880\"] \n  10 -> 21 [size =\"25978880\"]\n  10 -> 23 [size =\"25978880\"]\n  11 [size=\"48165547\", alpha=\"0.01\", expect_size=\"14449664\"] \n  11 -> 20 [size =\"14449664\"]\n  12 [size=\"122149547\", alpha=\"0.06\", expect_size=\"36644864\"] \n  12 -> 19 [size =\"36644864\"]\n  13 [size=\"33877333\", alpha=\"0.16\", expect_size=\"10163200\"] \n  13 -> 21 [size =\"10163200\"]\n  13 -> 22 [size =\"10163200\"]\n  13 -> 23 [size =\"10163200\"]\n  13 -> 25 [size =\"10163200\"]\n  14 [size=\"99201707\", alpha=\"0.16\", expect_size=\"29760512\"] \n  14 -> 20 [size =\"29760512\"]\n  14 -> 21 [size =\"29760512\"]\n  14 -> 22 [size =\"29760512\"]\n  15 [size=\"80622933\", alpha=\"0.17\", expect_size=\"24186880\"] \n  15 -> 19 [size =\"24186880\"]\n  15 -> 22 [size =\"24186880\"]\n  16 [size=\"106949973\", alpha=\"0.02\", expect_size=\"32084992\"] \n  16 -> 20 [size =\"32084992\"]\n  16 -> 21 [size =\"32084992\"]\n  16 -> 25 [size =\"32084992\"]\n  17 [size=\"159784960\", alpha=\"0.17\", expect_size=\"47935488\"] \n  17 -> 20 [size =\"47935488\"]\n  17 -> 21 [size =\"47935488\"]\n  17 -> 22 [size =\"47935488\"]\n  17 -> 23 [size =\"47935488\"]\n  18 [size=\"31426560\", alpha=\"0.12\", expect_size=\"9427968\"] \n  18 -> 20 [size =\"9427968\"]\n  18 -> 23 [size =\"9427968\"]\n  19 [size=\"104362667\", alpha=\"0.06\", expect_size=\"31308800\"] \n  20 [size=\"166570667\", alpha=\"0.03\", expect_size=\"49971200\"] \n  21 [size=\"156453547\", alpha=\"0.06\", expect_size=\"46936064\"] \n  22 [size=\"163676160\", alpha=\"0.19\", expect_size=\"49102848\"] \n  23 [size=\"54497280\", alpha=\"0.12\", expect_size=\"16349184\"] \n  24 [size=\"21736107\", alpha=\"0.06\", expect_size=\"6520832\"] \n  25 [size=\"147780267\", alpha=\"0.09\", expect_size=\"44334080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162662400\", alpha=\"0.12\", expect_size=\"48798720\"] \n  1 -> 2 [size =\"48798720\"]\n  2 [size=\"30235307\", alpha=\"0.02\", expect_size=\"9070592\"] \n  2 -> 3 [size =\"9070592\"]\n  3 [size=\"149248000\", alpha=\"0.20\", expect_size=\"44774400\"] \n  3 -> 4 [size =\"44774400\"]\n  4 [size=\"109953707\", alpha=\"0.09\", expect_size=\"32986112\"] \n  4 -> 5 [size =\"32986112\"]\n  5 [size=\"28426240\", alpha=\"0.11\", expect_size=\"8527872\"] \n  5 -> 6 [size =\"8527872\"]\n  6 [size=\"131430400\", alpha=\"0.09\", expect_size=\"39429120\"] \n  6 -> 7 [size =\"39429120\"]\n  7 [size=\"101864107\", alpha=\"0.07\", expect_size=\"30559232\"] \n  7 -> 8 [size =\"30559232\"]\n  8 [size=\"96119467\", alpha=\"0.06\", expect_size=\"28835840\"] \n  8 -> 9 [size =\"28835840\"]\n  9 [size=\"40772267\", alpha=\"0.14\", expect_size=\"12231680\"] \n  9 -> 10 [size =\"12231680\"]\n  10 [size=\"18766507\", alpha=\"0.16\", expect_size=\"5629952\"] \n  10 -> 11 [size =\"5629952\"]\n  11 [size=\"128597333\", alpha=\"0.16\", expect_size=\"38579200\"] \n  11 -> 12 [size =\"38579200\"]\n  12 [size=\"67693227\", alpha=\"0.07\", expect_size=\"20307968\"] \n  12 -> 13 [size =\"20307968\"]\n  13 [size=\"81848320\", alpha=\"0.10\", expect_size=\"24554496\"] \n  13 -> 14 [size =\"24554496\"]\n  14 [size=\"78448640\", alpha=\"0.10\", expect_size=\"23534592\"] \n  14 -> 15 [size =\"23534592\"]\n  15 [size=\"147486720\", alpha=\"0.01\", expect_size=\"44246016\"] \n  15 -> 16 [size =\"44246016\"]\n  16 [size=\"73485653\", alpha=\"0.10\", expect_size=\"22045696\"] \n  16 -> 17 [size =\"22045696\"]\n  17 [size=\"141984427\", alpha=\"0.19\", expect_size=\"42595328\"] \n  17 -> 18 [size =\"42595328\"]\n  18 [size=\"39383040\", alpha=\"0.18\", expect_size=\"11814912\"] \n  18 -> 19 [size =\"11814912\"]\n  19 [size=\"83360427\", alpha=\"0.11\", expect_size=\"25008128\"] \n  19 -> 20 [size =\"25008128\"]\n  20 [size=\"36010667\", alpha=\"0.16\", expect_size=\"10803200\"] \n  20 -> 21 [size =\"10803200\"]\n  21 [size=\"161163947\", alpha=\"0.19\", expect_size=\"48349184\"] \n  21 -> 22 [size =\"48349184\"]\n  22 [size=\"126805333\", alpha=\"0.03\", expect_size=\"38041600\"] \n  22 -> 23 [size =\"38041600\"]\n  23 [size=\"25227947\", alpha=\"0.05\", expect_size=\"7568384\"] \n  23 -> 24 [size =\"7568384\"]\n  24 [size=\"105366187\", alpha=\"0.18\", expect_size=\"31609856\"] \n  24 -> 25 [size =\"31609856\"]\n  25 [size=\"27378347\", alpha=\"0.12\", expect_size=\"8213504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29505536\", alpha=\"0.14\", expect_size=\"14752768\"] \n  1 -> 7 [size =\"14752768\"]\n  1 -> 9 [size =\"14752768\"]\n  2 [size=\"88020992\", alpha=\"0.05\", expect_size=\"44010496\"] \n  2 -> 6 [size =\"44010496\"]\n  2 -> 9 [size =\"44010496\"]\n  3 [size=\"68190208\", alpha=\"0.18\", expect_size=\"34095104\"] \n  3 -> 6 [size =\"34095104\"]\n  3 -> 7 [size =\"34095104\"]\n  3 -> 9 [size =\"34095104\"]\n  4 [size=\"46247936\", alpha=\"0.09\", expect_size=\"23123968\"] \n  4 -> 6 [size =\"23123968\"]\n  4 -> 7 [size =\"23123968\"]\n  4 -> 8 [size =\"23123968\"]\n  4 -> 10 [size =\"23123968\"]\n  5 [size=\"60512256\", alpha=\"0.01\", expect_size=\"30256128\"] \n  6 [size=\"54214656\", alpha=\"0.07\", expect_size=\"27107328\"] \n  6 -> 13 [size =\"27107328\"]\n  6 -> 14 [size =\"27107328\"]\n  7 [size=\"24774656\", alpha=\"0.18\", expect_size=\"12387328\"] \n  7 -> 12 [size =\"12387328\"]\n  7 -> 13 [size =\"12387328\"]\n  7 -> 14 [size =\"12387328\"]\n  7 -> 15 [size =\"12387328\"]\n  8 [size=\"57362432\", alpha=\"0.04\", expect_size=\"28681216\"] \n  8 -> 11 [size =\"28681216\"]\n  8 -> 12 [size =\"28681216\"]\n  8 -> 13 [size =\"28681216\"]\n  8 -> 14 [size =\"28681216\"]\n  8 -> 15 [size =\"28681216\"]\n  9 [size=\"40103936\", alpha=\"0.02\", expect_size=\"20051968\"] \n  10 [size=\"39385088\", alpha=\"0.06\", expect_size=\"19692544\"] \n  10 -> 15 [size =\"19692544\"]\n  11 [size=\"30019584\", alpha=\"0.09\", expect_size=\"15009792\"] \n  11 -> 17 [size =\"15009792\"]\n  12 [size=\"96075776\", alpha=\"0.08\", expect_size=\"48037888\"] \n  13 [size=\"23228416\", alpha=\"0.19\", expect_size=\"11614208\"] \n  13 -> 16 [size =\"11614208\"]\n  13 -> 17 [size =\"11614208\"]\n  14 [size=\"13178880\", alpha=\"0.07\", expect_size=\"6589440\"] \n  14 -> 18 [size =\"6589440\"]\n  15 [size=\"56444928\", alpha=\"0.07\", expect_size=\"28222464\"] \n  16 [size=\"62289920\", alpha=\"0.17\", expect_size=\"31144960\"] \n  16 -> 20 [size =\"31144960\"]\n  17 [size=\"94060544\", alpha=\"0.04\", expect_size=\"47030272\"] \n  17 -> 19 [size =\"47030272\"]\n  17 -> 20 [size =\"47030272\"]\n  18 [size=\"84889600\", alpha=\"0.20\", expect_size=\"42444800\"] \n  19 [size=\"103528448\", alpha=\"0.14\", expect_size=\"51764224\"] \n  19 -> 21 [size =\"51764224\"]\n  19 -> 22 [size =\"51764224\"]\n  19 -> 23 [size =\"51764224\"]\n  19 -> 25 [size =\"51764224\"]\n  20 [size=\"19156992\", alpha=\"0.17\", expect_size=\"9578496\"] \n  20 -> 24 [size =\"9578496\"]\n  21 [size=\"48687104\", alpha=\"0.03\", expect_size=\"24343552\"] \n  22 [size=\"89464832\", alpha=\"0.06\", expect_size=\"44732416\"] \n  23 [size=\"31465472\", alpha=\"0.01\", expect_size=\"15732736\"] \n  24 [size=\"29034496\", alpha=\"0.04\", expect_size=\"14517248\"] \n  25 [size=\"63715328\", alpha=\"0.17\", expect_size=\"31857664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83530240\", alpha=\"0.12\", expect_size=\"33412096\"] \n  1 -> 23 [size =\"33412096\"]\n  1 -> 25 [size =\"33412096\"]\n  2 [size=\"112366080\", alpha=\"0.14\", expect_size=\"44946432\"] \n  2 -> 23 [size =\"44946432\"]\n  2 -> 25 [size =\"44946432\"]\n  3 [size=\"108618240\", alpha=\"0.19\", expect_size=\"43447296\"] \n  3 -> 23 [size =\"43447296\"]\n  4 [size=\"78018560\", alpha=\"0.04\", expect_size=\"31207424\"] \n  4 -> 24 [size =\"31207424\"]\n  5 [size=\"116295680\", alpha=\"0.15\", expect_size=\"46518272\"] \n  5 -> 24 [size =\"46518272\"]\n  6 [size=\"70279680\", alpha=\"0.16\", expect_size=\"28111872\"] \n  6 -> 24 [size =\"28111872\"]\n  7 [size=\"37171200\", alpha=\"0.08\", expect_size=\"14868480\"] \n  7 -> 24 [size =\"14868480\"]\n  8 [size=\"22067200\", alpha=\"0.17\", expect_size=\"8826880\"] \n  9 [size=\"50767360\", alpha=\"0.09\", expect_size=\"20306944\"] \n  10 [size=\"110085120\", alpha=\"0.03\", expect_size=\"44034048\"] \n  11 [size=\"19824640\", alpha=\"0.14\", expect_size=\"7929856\"] \n  11 -> 22 [size =\"7929856\"]\n  11 -> 23 [size =\"7929856\"]\n  11 -> 25 [size =\"7929856\"]\n  12 [size=\"87720960\", alpha=\"0.12\", expect_size=\"35088384\"] \n  12 -> 23 [size =\"35088384\"]\n  13 [size=\"53544960\", alpha=\"0.02\", expect_size=\"21417984\"] \n  13 -> 23 [size =\"21417984\"]\n  14 [size=\"50467840\", alpha=\"0.00\", expect_size=\"20187136\"] \n  14 -> 22 [size =\"20187136\"]\n  15 [size=\"73443840\", alpha=\"0.16\", expect_size=\"29377536\"] \n  16 [size=\"45120000\", alpha=\"0.15\", expect_size=\"18048000\"] \n  17 [size=\"22766080\", alpha=\"0.16\", expect_size=\"9106432\"] \n  18 [size=\"70558720\", alpha=\"0.19\", expect_size=\"28223488\"] \n  18 -> 22 [size =\"28223488\"]\n  18 -> 23 [size =\"28223488\"]\n  19 [size=\"52239360\", alpha=\"0.16\", expect_size=\"20895744\"] \n  19 -> 22 [size =\"20895744\"]\n  19 -> 23 [size =\"20895744\"]\n  20 [size=\"106106880\", alpha=\"0.07\", expect_size=\"42442752\"] \n  20 -> 23 [size =\"42442752\"]\n  20 -> 23 [size =\"42442752\"]\n  21 [size=\"123535360\", alpha=\"0.10\", expect_size=\"49414144\"] \n  21 -> 25 [size =\"49414144\"]\n  22 [size=\"85693440\", alpha=\"0.10\", expect_size=\"34277376\"] \n  23 [size=\"39193600\", alpha=\"0.06\", expect_size=\"15677440\"] \n  24 [size=\"50992640\", alpha=\"0.13\", expect_size=\"20397056\"] \n  25 [size=\"53084160\", alpha=\"0.18\", expect_size=\"21233664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97015808\", alpha=\"0.10\", expect_size=\"48507904\"] \n  1 -> 5 [size =\"48507904\"]\n  2 [size=\"45371392\", alpha=\"0.06\", expect_size=\"22685696\"] \n  2 -> 6 [size =\"22685696\"]\n  3 [size=\"90957824\", alpha=\"0.12\", expect_size=\"45478912\"] \n  4 [size=\"58327040\", alpha=\"0.12\", expect_size=\"29163520\"] \n  5 [size=\"89868288\", alpha=\"0.16\", expect_size=\"44934144\"] \n  5 -> 8 [size =\"44934144\"]\n  6 [size=\"39649280\", alpha=\"0.06\", expect_size=\"19824640\"] \n  6 -> 7 [size =\"19824640\"]\n  6 -> 9 [size =\"19824640\"]\n  7 [size=\"79149056\", alpha=\"0.02\", expect_size=\"39574528\"] \n  7 -> 10 [size =\"39574528\"]\n  8 [size=\"98820096\", alpha=\"0.01\", expect_size=\"49410048\"] \n  8 -> 11 [size =\"49410048\"]\n  8 -> 12 [size =\"49410048\"]\n  9 [size=\"104278016\", alpha=\"0.04\", expect_size=\"52139008\"] \n  9 -> 11 [size =\"52139008\"]\n  10 [size=\"98584576\", alpha=\"0.07\", expect_size=\"49292288\"] \n  10 -> 17 [size =\"49292288\"]\n  11 [size=\"79280128\", alpha=\"0.10\", expect_size=\"39640064\"] \n  11 -> 13 [size =\"39640064\"]\n  11 -> 15 [size =\"39640064\"]\n  11 -> 16 [size =\"39640064\"]\n  12 [size=\"30849024\", alpha=\"0.04\", expect_size=\"15424512\"] \n  12 -> 14 [size =\"15424512\"]\n  13 [size=\"58300416\", alpha=\"0.08\", expect_size=\"29150208\"] \n  13 -> 18 [size =\"29150208\"]\n  13 -> 19 [size =\"29150208\"]\n  13 -> 21 [size =\"29150208\"]\n  14 [size=\"21872640\", alpha=\"0.14\", expect_size=\"10936320\"] \n  15 [size=\"80676864\", alpha=\"0.18\", expect_size=\"40338432\"] \n  15 -> 20 [size =\"40338432\"]\n  16 [size=\"61546496\", alpha=\"0.19\", expect_size=\"30773248\"] \n  16 -> 20 [size =\"30773248\"]\n  17 [size=\"88631296\", alpha=\"0.14\", expect_size=\"44315648\"] \n  17 -> 18 [size =\"44315648\"]\n  18 [size=\"100147200\", alpha=\"0.20\", expect_size=\"50073600\"] \n  19 [size=\"102582272\", alpha=\"0.09\", expect_size=\"51291136\"] \n  19 -> 22 [size =\"51291136\"]\n  19 -> 23 [size =\"51291136\"]\n  19 -> 24 [size =\"51291136\"]\n  20 [size=\"26400768\", alpha=\"0.14\", expect_size=\"13200384\"] \n  20 -> 22 [size =\"13200384\"]\n  21 [size=\"58089472\", alpha=\"0.17\", expect_size=\"29044736\"] \n  21 -> 23 [size =\"29044736\"]\n  22 [size=\"104603648\", alpha=\"0.08\", expect_size=\"52301824\"] \n  23 [size=\"29636608\", alpha=\"0.15\", expect_size=\"14818304\"] \n  23 -> 25 [size =\"14818304\"]\n  24 [size=\"69107712\", alpha=\"0.13\", expect_size=\"34553856\"] \n  24 -> 25 [size =\"34553856\"]\n  25 [size=\"42246144\", alpha=\"0.08\", expect_size=\"21123072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42480640\", alpha=\"0.14\", expect_size=\"16992256\"] \n  1 -> 2 [size =\"16992256\"]\n  2 [size=\"49881600\", alpha=\"0.00\", expect_size=\"19952640\"] \n  2 -> 3 [size =\"19952640\"]\n  3 [size=\"64312320\", alpha=\"0.07\", expect_size=\"25724928\"] \n  3 -> 4 [size =\"25724928\"]\n  4 [size=\"41850880\", alpha=\"0.11\", expect_size=\"16740352\"] \n  4 -> 5 [size =\"16740352\"]\n  5 [size=\"85304320\", alpha=\"0.12\", expect_size=\"34121728\"] \n  5 -> 6 [size =\"34121728\"]\n  6 [size=\"124328960\", alpha=\"0.16\", expect_size=\"49731584\"] \n  6 -> 7 [size =\"49731584\"]\n  7 [size=\"67837440\", alpha=\"0.03\", expect_size=\"27134976\"] \n  7 -> 8 [size =\"27134976\"]\n  8 [size=\"25290240\", alpha=\"0.14\", expect_size=\"10116096\"] \n  8 -> 9 [size =\"10116096\"]\n  9 [size=\"107054080\", alpha=\"0.14\", expect_size=\"42821632\"] \n  9 -> 10 [size =\"42821632\"]\n  10 [size=\"23736320\", alpha=\"0.15\", expect_size=\"9494528\"] \n  10 -> 11 [size =\"9494528\"]\n  11 [size=\"86883840\", alpha=\"0.08\", expect_size=\"34753536\"] \n  11 -> 12 [size =\"34753536\"]\n  12 [size=\"48842240\", alpha=\"0.09\", expect_size=\"19536896\"] \n  12 -> 13 [size =\"19536896\"]\n  13 [size=\"51118080\", alpha=\"0.19\", expect_size=\"20447232\"] \n  13 -> 14 [size =\"20447232\"]\n  14 [size=\"89922560\", alpha=\"0.14\", expect_size=\"35969024\"] \n  14 -> 15 [size =\"35969024\"]\n  15 [size=\"37552640\", alpha=\"0.17\", expect_size=\"15021056\"] \n  15 -> 16 [size =\"15021056\"]\n  16 [size=\"107194880\", alpha=\"0.01\", expect_size=\"42877952\"] \n  16 -> 17 [size =\"42877952\"]\n  17 [size=\"82549760\", alpha=\"0.12\", expect_size=\"33019904\"] \n  17 -> 18 [size =\"33019904\"]\n  18 [size=\"98501120\", alpha=\"0.03\", expect_size=\"39400448\"] \n  18 -> 19 [size =\"39400448\"]\n  19 [size=\"60741120\", alpha=\"0.12\", expect_size=\"24296448\"] \n  19 -> 20 [size =\"24296448\"]\n  20 [size=\"22520320\", alpha=\"0.16\", expect_size=\"9008128\"] \n  20 -> 21 [size =\"9008128\"]\n  21 [size=\"109634560\", alpha=\"0.05\", expect_size=\"43853824\"] \n  21 -> 22 [size =\"43853824\"]\n  22 [size=\"38602240\", alpha=\"0.00\", expect_size=\"15440896\"] \n  22 -> 23 [size =\"15440896\"]\n  23 [size=\"94617600\", alpha=\"0.04\", expect_size=\"37847040\"] \n  23 -> 24 [size =\"37847040\"]\n  24 [size=\"87168000\", alpha=\"0.12\", expect_size=\"34867200\"] \n  24 -> 25 [size =\"34867200\"]\n  25 [size=\"52674560\", alpha=\"0.13\", expect_size=\"21069824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21104640\", alpha=\"0.15\", expect_size=\"8441856\"] \n  2 [size=\"28986880\", alpha=\"0.02\", expect_size=\"11594752\"] \n  2 -> 3 [size =\"11594752\"]\n  3 [size=\"48222720\", alpha=\"0.14\", expect_size=\"19289088\"] \n  3 -> 4 [size =\"19289088\"]\n  4 [size=\"21475840\", alpha=\"0.10\", expect_size=\"8590336\"] \n  4 -> 5 [size =\"8590336\"]\n  4 -> 6 [size =\"8590336\"]\n  5 [size=\"95180800\", alpha=\"0.07\", expect_size=\"38072320\"] \n  5 -> 7 [size =\"38072320\"]\n  5 -> 8 [size =\"38072320\"]\n  6 [size=\"119969280\", alpha=\"0.06\", expect_size=\"47987712\"] \n  6 -> 7 [size =\"47987712\"]\n  6 -> 8 [size =\"47987712\"]\n  7 [size=\"81717760\", alpha=\"0.17\", expect_size=\"32687104\"] \n  7 -> 9 [size =\"32687104\"]\n  8 [size=\"19842560\", alpha=\"0.07\", expect_size=\"7937024\"] \n  8 -> 9 [size =\"7937024\"]\n  9 [size=\"81728000\", alpha=\"0.14\", expect_size=\"32691200\"] \n  9 -> 10 [size =\"32691200\"]\n  9 -> 11 [size =\"32691200\"]\n  10 [size=\"81495040\", alpha=\"0.05\", expect_size=\"32598016\"] \n  10 -> 12 [size =\"32598016\"]\n  11 [size=\"121684480\", alpha=\"0.17\", expect_size=\"48673792\"] \n  11 -> 12 [size =\"48673792\"]\n  12 [size=\"94681600\", alpha=\"0.04\", expect_size=\"37872640\"] \n  12 -> 13 [size =\"37872640\"]\n  13 [size=\"107624960\", alpha=\"0.14\", expect_size=\"43049984\"] \n  13 -> 14 [size =\"43049984\"]\n  14 [size=\"72962560\", alpha=\"0.05\", expect_size=\"29185024\"] \n  14 -> 15 [size =\"29185024\"]\n  14 -> 16 [size =\"29185024\"]\n  15 [size=\"13404160\", alpha=\"0.10\", expect_size=\"5361664\"] \n  15 -> 17 [size =\"5361664\"]\n  16 [size=\"52769280\", alpha=\"0.03\", expect_size=\"21107712\"] \n  16 -> 17 [size =\"21107712\"]\n  17 [size=\"86136320\", alpha=\"0.20\", expect_size=\"34454528\"] \n  17 -> 18 [size =\"34454528\"]\n  18 [size=\"71070720\", alpha=\"0.19\", expect_size=\"28428288\"] \n  18 -> 19 [size =\"28428288\"]\n  18 -> 20 [size =\"28428288\"]\n  19 [size=\"114841600\", alpha=\"0.19\", expect_size=\"45936640\"] \n  20 [size=\"78617600\", alpha=\"0.15\", expect_size=\"31447040\"] \n  20 -> 21 [size =\"31447040\"]\n  20 -> 22 [size =\"31447040\"]\n  21 [size=\"107991040\", alpha=\"0.12\", expect_size=\"43196416\"] \n  21 -> 23 [size =\"43196416\"]\n  21 -> 24 [size =\"43196416\"]\n  22 [size=\"87377920\", alpha=\"0.12\", expect_size=\"34951168\"] \n  22 -> 23 [size =\"34951168\"]\n  22 -> 24 [size =\"34951168\"]\n  23 [size=\"113702400\", alpha=\"0.19\", expect_size=\"45480960\"] \n  23 -> 25 [size =\"45480960\"]\n  24 [size=\"79744000\", alpha=\"0.06\", expect_size=\"31897600\"] \n  24 -> 25 [size =\"31897600\"]\n  25 [size=\"112012800\", alpha=\"0.08\", expect_size=\"44805120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57356288\", alpha=\"0.01\", expect_size=\"28678144\"] \n  1 -> 2 [size =\"28678144\"]\n  1 -> 3 [size =\"28678144\"]\n  2 [size=\"39290880\", alpha=\"0.17\", expect_size=\"19645440\"] \n  3 [size=\"25817088\", alpha=\"0.08\", expect_size=\"12908544\"] \n  3 -> 4 [size =\"12908544\"]\n  4 [size=\"25235456\", alpha=\"0.07\", expect_size=\"12617728\"] \n  4 -> 5 [size =\"12617728\"]\n  4 -> 6 [size =\"12617728\"]\n  5 [size=\"38871040\", alpha=\"0.04\", expect_size=\"19435520\"] \n  5 -> 7 [size =\"19435520\"]\n  6 [size=\"48461824\", alpha=\"0.12\", expect_size=\"24230912\"] \n  7 [size=\"60102656\", alpha=\"0.01\", expect_size=\"30051328\"] \n  7 -> 8 [size =\"30051328\"]\n  8 [size=\"28506112\", alpha=\"0.18\", expect_size=\"14253056\"] \n  8 -> 9 [size =\"14253056\"]\n  8 -> 10 [size =\"14253056\"]\n  9 [size=\"11094016\", alpha=\"0.20\", expect_size=\"5547008\"] \n  10 [size=\"30550016\", alpha=\"0.12\", expect_size=\"15275008\"] \n  10 -> 11 [size =\"15275008\"]\n  11 [size=\"73109504\", alpha=\"0.04\", expect_size=\"36554752\"] \n  11 -> 12 [size =\"36554752\"]\n  11 -> 13 [size =\"36554752\"]\n  12 [size=\"78243840\", alpha=\"0.19\", expect_size=\"39121920\"] \n  12 -> 14 [size =\"39121920\"]\n  13 [size=\"64899072\", alpha=\"0.17\", expect_size=\"32449536\"] \n  14 [size=\"104595456\", alpha=\"0.17\", expect_size=\"52297728\"] \n  14 -> 15 [size =\"52297728\"]\n  14 -> 16 [size =\"52297728\"]\n  15 [size=\"42840064\", alpha=\"0.19\", expect_size=\"21420032\"] \n  15 -> 17 [size =\"21420032\"]\n  15 -> 18 [size =\"21420032\"]\n  16 [size=\"62564352\", alpha=\"0.19\", expect_size=\"31282176\"] \n  17 [size=\"24190976\", alpha=\"0.15\", expect_size=\"12095488\"] \n  17 -> 19 [size =\"12095488\"]\n  18 [size=\"29915136\", alpha=\"0.13\", expect_size=\"14957568\"] \n  19 [size=\"19083264\", alpha=\"0.20\", expect_size=\"9541632\"] \n  19 -> 20 [size =\"9541632\"]\n  20 [size=\"17664000\", alpha=\"0.11\", expect_size=\"8832000\"] \n  20 -> 21 [size =\"8832000\"]\n  21 [size=\"75749376\", alpha=\"0.13\", expect_size=\"37874688\"] \n  21 -> 22 [size =\"37874688\"]\n  22 [size=\"95037440\", alpha=\"0.01\", expect_size=\"47518720\"] \n  22 -> 23 [size =\"47518720\"]\n  22 -> 24 [size =\"47518720\"]\n  23 [size=\"88723456\", alpha=\"0.12\", expect_size=\"44361728\"] \n  23 -> 25 [size =\"44361728\"]\n  24 [size=\"72628224\", alpha=\"0.06\", expect_size=\"36314112\"] \n  24 -> 25 [size =\"36314112\"]\n  25 [size=\"57178112\", alpha=\"0.07\", expect_size=\"28589056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84881920\", alpha=\"0.00\", expect_size=\"33952768\"] \n  1 -> 2 [size =\"33952768\"]\n  2 [size=\"16865280\", alpha=\"0.09\", expect_size=\"6746112\"] \n  2 -> 3 [size =\"6746112\"]\n  3 [size=\"34890240\", alpha=\"0.09\", expect_size=\"13956096\"] \n  3 -> 4 [size =\"13956096\"]\n  3 -> 5 [size =\"13956096\"]\n  4 [size=\"37168640\", alpha=\"0.20\", expect_size=\"14867456\"] \n  5 [size=\"44241920\", alpha=\"0.00\", expect_size=\"17696768\"] \n  5 -> 6 [size =\"17696768\"]\n  6 [size=\"114398720\", alpha=\"0.03\", expect_size=\"45759488\"] \n  6 -> 7 [size =\"45759488\"]\n  7 [size=\"33922560\", alpha=\"0.18\", expect_size=\"13569024\"] \n  7 -> 8 [size =\"13569024\"]\n  8 [size=\"113610240\", alpha=\"0.15\", expect_size=\"45444096\"] \n  8 -> 9 [size =\"45444096\"]\n  8 -> 10 [size =\"45444096\"]\n  9 [size=\"129310720\", alpha=\"0.01\", expect_size=\"51724288\"] \n  10 [size=\"68610560\", alpha=\"0.03\", expect_size=\"27444224\"] \n  10 -> 11 [size =\"27444224\"]\n  10 -> 12 [size =\"27444224\"]\n  11 [size=\"65607680\", alpha=\"0.19\", expect_size=\"26243072\"] \n  11 -> 13 [size =\"26243072\"]\n  11 -> 14 [size =\"26243072\"]\n  12 [size=\"67993600\", alpha=\"0.10\", expect_size=\"27197440\"] \n  12 -> 13 [size =\"27197440\"]\n  13 [size=\"122775040\", alpha=\"0.10\", expect_size=\"49110016\"] \n  13 -> 15 [size =\"49110016\"]\n  14 [size=\"60410880\", alpha=\"0.17\", expect_size=\"24164352\"] \n  15 [size=\"59983360\", alpha=\"0.05\", expect_size=\"23993344\"] \n  15 -> 16 [size =\"23993344\"]\n  15 -> 17 [size =\"23993344\"]\n  16 [size=\"62090240\", alpha=\"0.13\", expect_size=\"24836096\"] \n  16 -> 18 [size =\"24836096\"]\n  17 [size=\"77386240\", alpha=\"0.13\", expect_size=\"30954496\"] \n  17 -> 18 [size =\"30954496\"]\n  18 [size=\"64130560\", alpha=\"0.14\", expect_size=\"25652224\"] \n  18 -> 19 [size =\"25652224\"]\n  19 [size=\"33233920\", alpha=\"0.18\", expect_size=\"13293568\"] \n  19 -> 20 [size =\"13293568\"]\n  20 [size=\"39293440\", alpha=\"0.05\", expect_size=\"15717376\"] \n  20 -> 21 [size =\"15717376\"]\n  21 [size=\"57771520\", alpha=\"0.05\", expect_size=\"23108608\"] \n  21 -> 22 [size =\"23108608\"]\n  22 [size=\"51489280\", alpha=\"0.06\", expect_size=\"20595712\"] \n  22 -> 23 [size =\"20595712\"]\n  23 [size=\"110446080\", alpha=\"0.10\", expect_size=\"44178432\"] \n  23 -> 24 [size =\"44178432\"]\n  23 -> 25 [size =\"44178432\"]\n  24 [size=\"52190720\", alpha=\"0.18\", expect_size=\"20876288\"] \n  25 [size=\"34368000\", alpha=\"0.11\", expect_size=\"13747200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112517120\", alpha=\"0.18\", expect_size=\"45006848\"] \n  1 -> 2 [size =\"45006848\"]\n  1 -> 3 [size =\"45006848\"]\n  2 [size=\"25710080\", alpha=\"0.15\", expect_size=\"10284032\"] \n  2 -> 4 [size =\"10284032\"]\n  3 [size=\"118978560\", alpha=\"0.08\", expect_size=\"47591424\"] \n  3 -> 4 [size =\"47591424\"]\n  4 [size=\"111162880\", alpha=\"0.19\", expect_size=\"44465152\"] \n  4 -> 5 [size =\"44465152\"]\n  5 [size=\"94668800\", alpha=\"0.16\", expect_size=\"37867520\"] \n  5 -> 6 [size =\"37867520\"]\n  6 [size=\"108797440\", alpha=\"0.04\", expect_size=\"43518976\"] \n  6 -> 7 [size =\"43518976\"]\n  7 [size=\"114142720\", alpha=\"0.07\", expect_size=\"45657088\"] \n  7 -> 8 [size =\"45657088\"]\n  7 -> 9 [size =\"45657088\"]\n  8 [size=\"97559040\", alpha=\"0.09\", expect_size=\"39023616\"] \n  8 -> 10 [size =\"39023616\"]\n  9 [size=\"57825280\", alpha=\"0.03\", expect_size=\"23130112\"] \n  10 [size=\"91279360\", alpha=\"0.14\", expect_size=\"36511744\"] \n  10 -> 11 [size =\"36511744\"]\n  10 -> 12 [size =\"36511744\"]\n  11 [size=\"46310400\", alpha=\"0.12\", expect_size=\"18524160\"] \n  11 -> 13 [size =\"18524160\"]\n  11 -> 14 [size =\"18524160\"]\n  12 [size=\"36564480\", alpha=\"0.01\", expect_size=\"14625792\"] \n  12 -> 13 [size =\"14625792\"]\n  12 -> 14 [size =\"14625792\"]\n  13 [size=\"127976960\", alpha=\"0.13\", expect_size=\"51190784\"] \n  14 [size=\"57451520\", alpha=\"0.11\", expect_size=\"22980608\"] \n  14 -> 15 [size =\"22980608\"]\n  15 [size=\"50690560\", alpha=\"0.13\", expect_size=\"20276224\"] \n  15 -> 16 [size =\"20276224\"]\n  15 -> 17 [size =\"20276224\"]\n  16 [size=\"27630080\", alpha=\"0.00\", expect_size=\"11052032\"] \n  16 -> 18 [size =\"11052032\"]\n  17 [size=\"53086720\", alpha=\"0.18\", expect_size=\"21234688\"] \n  18 [size=\"96829440\", alpha=\"0.13\", expect_size=\"38731776\"] \n  18 -> 19 [size =\"38731776\"]\n  18 -> 20 [size =\"38731776\"]\n  19 [size=\"29911040\", alpha=\"0.16\", expect_size=\"11964416\"] \n  19 -> 21 [size =\"11964416\"]\n  20 [size=\"46100480\", alpha=\"0.07\", expect_size=\"18440192\"] \n  20 -> 21 [size =\"18440192\"]\n  21 [size=\"129105920\", alpha=\"0.14\", expect_size=\"51642368\"] \n  21 -> 22 [size =\"51642368\"]\n  22 [size=\"84428800\", alpha=\"0.04\", expect_size=\"33771520\"] \n  22 -> 23 [size =\"33771520\"]\n  22 -> 24 [size =\"33771520\"]\n  23 [size=\"89274880\", alpha=\"0.12\", expect_size=\"35709952\"] \n  23 -> 25 [size =\"35709952\"]\n  24 [size=\"49505280\", alpha=\"0.16\", expect_size=\"19802112\"] \n  25 [size=\"111516160\", alpha=\"0.14\", expect_size=\"44606464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75716608\", alpha=\"0.07\", expect_size=\"37858304\"] \n  2 [size=\"37210112\", alpha=\"0.05\", expect_size=\"18605056\"] \n  3 [size=\"81227776\", alpha=\"0.00\", expect_size=\"40613888\"] \n  4 [size=\"18626560\", alpha=\"0.05\", expect_size=\"9313280\"] \n  5 [size=\"87357440\", alpha=\"0.16\", expect_size=\"43678720\"] \n  6 [size=\"98949120\", alpha=\"0.05\", expect_size=\"49474560\"] \n  7 [size=\"81321984\", alpha=\"0.15\", expect_size=\"40660992\"] \n  8 [size=\"42256384\", alpha=\"0.17\", expect_size=\"21128192\"] \n  9 [size=\"66527232\", alpha=\"0.15\", expect_size=\"33263616\"] \n  10 [size=\"63711232\", alpha=\"0.09\", expect_size=\"31855616\"] \n  11 [size=\"62846976\", alpha=\"0.13\", expect_size=\"31423488\"] \n  12 [size=\"97943552\", alpha=\"0.03\", expect_size=\"48971776\"] \n  13 [size=\"27906048\", alpha=\"0.13\", expect_size=\"13953024\"] \n  14 [size=\"28784640\", alpha=\"0.03\", expect_size=\"14392320\"] \n  15 [size=\"50714624\", alpha=\"0.08\", expect_size=\"25357312\"] \n  16 [size=\"33423360\", alpha=\"0.11\", expect_size=\"16711680\"] \n  17 [size=\"55973888\", alpha=\"0.03\", expect_size=\"27986944\"] \n  18 [size=\"30220288\", alpha=\"0.03\", expect_size=\"15110144\"] \n  19 [size=\"18032640\", alpha=\"0.10\", expect_size=\"9016320\"] \n  20 [size=\"87795712\", alpha=\"0.02\", expect_size=\"43897856\"] \n  21 [size=\"35303424\", alpha=\"0.07\", expect_size=\"17651712\"] \n  22 [size=\"98787328\", alpha=\"0.19\", expect_size=\"49393664\"] \n  23 [size=\"19916800\", alpha=\"0.05\", expect_size=\"9958400\"] \n  24 [size=\"80326656\", alpha=\"0.13\", expect_size=\"40163328\"] \n  25 [size=\"92928000\", alpha=\"0.17\", expect_size=\"46464000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48299520\", alpha=\"0.12\", expect_size=\"19319808\"] \n  1 -> 3 [size =\"19319808\"]\n  1 -> 4 [size =\"19319808\"]\n  2 [size=\"80524800\", alpha=\"0.07\", expect_size=\"32209920\"] \n  3 [size=\"41290240\", alpha=\"0.17\", expect_size=\"16516096\"] \n  4 [size=\"18810880\", alpha=\"0.03\", expect_size=\"7524352\"] \n  4 -> 5 [size =\"7524352\"]\n  5 [size=\"41902080\", alpha=\"0.13\", expect_size=\"16760832\"] \n  5 -> 6 [size =\"16760832\"]\n  5 -> 7 [size =\"16760832\"]\n  6 [size=\"125248000\", alpha=\"0.00\", expect_size=\"50099200\"] \n  6 -> 8 [size =\"50099200\"]\n  7 [size=\"67543040\", alpha=\"0.19\", expect_size=\"27017216\"] \n  8 [size=\"64998400\", alpha=\"0.10\", expect_size=\"25999360\"] \n  8 -> 9 [size =\"25999360\"]\n  8 -> 10 [size =\"25999360\"]\n  9 [size=\"85864960\", alpha=\"0.07\", expect_size=\"34345984\"] \n  9 -> 11 [size =\"34345984\"]\n  9 -> 12 [size =\"34345984\"]\n  10 [size=\"89761280\", alpha=\"0.12\", expect_size=\"35904512\"] \n  10 -> 11 [size =\"35904512\"]\n  10 -> 12 [size =\"35904512\"]\n  11 [size=\"58350080\", alpha=\"0.06\", expect_size=\"23340032\"] \n  12 [size=\"13857280\", alpha=\"0.10\", expect_size=\"5542912\"] \n  12 -> 13 [size =\"5542912\"]\n  13 [size=\"53102080\", alpha=\"0.05\", expect_size=\"21240832\"] \n  13 -> 14 [size =\"21240832\"]\n  13 -> 15 [size =\"21240832\"]\n  14 [size=\"32670720\", alpha=\"0.10\", expect_size=\"13068288\"] \n  15 [size=\"47598080\", alpha=\"0.15\", expect_size=\"19039232\"] \n  15 -> 16 [size =\"19039232\"]\n  16 [size=\"126817280\", alpha=\"0.09\", expect_size=\"50726912\"] \n  16 -> 17 [size =\"50726912\"]\n  16 -> 18 [size =\"50726912\"]\n  17 [size=\"127418880\", alpha=\"0.07\", expect_size=\"50967552\"] \n  17 -> 20 [size =\"50967552\"]\n  18 [size=\"120046080\", alpha=\"0.11\", expect_size=\"48018432\"] \n  18 -> 19 [size =\"48018432\"]\n  18 -> 20 [size =\"48018432\"]\n  19 [size=\"63825920\", alpha=\"0.08\", expect_size=\"25530368\"] \n  19 -> 21 [size =\"25530368\"]\n  20 [size=\"103882240\", alpha=\"0.02\", expect_size=\"41552896\"] \n  21 [size=\"56225280\", alpha=\"0.03\", expect_size=\"22490112\"] \n  21 -> 22 [size =\"22490112\"]\n  21 -> 23 [size =\"22490112\"]\n  22 [size=\"89187840\", alpha=\"0.15\", expect_size=\"35675136\"] \n  22 -> 24 [size =\"35675136\"]\n  23 [size=\"29639680\", alpha=\"0.12\", expect_size=\"11855872\"] \n  24 [size=\"60917760\", alpha=\"0.10\", expect_size=\"24367104\"] \n  24 -> 25 [size =\"24367104\"]\n  25 [size=\"122106880\", alpha=\"0.13\", expect_size=\"48842752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19141973\", alpha=\"0.10\", expect_size=\"5742592\"] \n  1 -> 2 [size =\"5742592\"]\n  2 [size=\"164287147\", alpha=\"0.08\", expect_size=\"49286144\"] \n  2 -> 3 [size =\"49286144\"]\n  3 [size=\"73663147\", alpha=\"0.17\", expect_size=\"22098944\"] \n  3 -> 4 [size =\"22098944\"]\n  4 [size=\"97508693\", alpha=\"0.04\", expect_size=\"29252608\"] \n  4 -> 5 [size =\"29252608\"]\n  5 [size=\"129116160\", alpha=\"0.08\", expect_size=\"38734848\"] \n  5 -> 6 [size =\"38734848\"]\n  6 [size=\"104997547\", alpha=\"0.11\", expect_size=\"31499264\"] \n  6 -> 7 [size =\"31499264\"]\n  7 [size=\"157829120\", alpha=\"0.16\", expect_size=\"47348736\"] \n  7 -> 8 [size =\"47348736\"]\n  8 [size=\"24620373\", alpha=\"0.10\", expect_size=\"7386112\"] \n  8 -> 9 [size =\"7386112\"]\n  9 [size=\"26060800\", alpha=\"0.07\", expect_size=\"7818240\"] \n  9 -> 10 [size =\"7818240\"]\n  10 [size=\"95385600\", alpha=\"0.17\", expect_size=\"28615680\"] \n  10 -> 11 [size =\"28615680\"]\n  11 [size=\"140250453\", alpha=\"0.11\", expect_size=\"42075136\"] \n  11 -> 12 [size =\"42075136\"]\n  12 [size=\"64160427\", alpha=\"0.18\", expect_size=\"19248128\"] \n  12 -> 13 [size =\"19248128\"]\n  13 [size=\"127341227\", alpha=\"0.01\", expect_size=\"38202368\"] \n  13 -> 14 [size =\"38202368\"]\n  14 [size=\"102126933\", alpha=\"0.15\", expect_size=\"30638080\"] \n  14 -> 15 [size =\"30638080\"]\n  15 [size=\"135591253\", alpha=\"0.08\", expect_size=\"40677376\"] \n  15 -> 16 [size =\"40677376\"]\n  16 [size=\"42567680\", alpha=\"0.03\", expect_size=\"12770304\"] \n  16 -> 17 [size =\"12770304\"]\n  17 [size=\"128651947\", alpha=\"0.19\", expect_size=\"38595584\"] \n  17 -> 18 [size =\"38595584\"]\n  18 [size=\"94945280\", alpha=\"0.07\", expect_size=\"28483584\"] \n  18 -> 19 [size =\"28483584\"]\n  19 [size=\"173015040\", alpha=\"0.04\", expect_size=\"51904512\"] \n  19 -> 20 [size =\"51904512\"]\n  20 [size=\"71656107\", alpha=\"0.04\", expect_size=\"21496832\"] \n  20 -> 21 [size =\"21496832\"]\n  21 [size=\"50664107\", alpha=\"0.04\", expect_size=\"15199232\"] \n  21 -> 22 [size =\"15199232\"]\n  22 [size=\"135386453\", alpha=\"0.02\", expect_size=\"40615936\"] \n  22 -> 23 [size =\"40615936\"]\n  23 [size=\"116227413\", alpha=\"0.08\", expect_size=\"34868224\"] \n  23 -> 24 [size =\"34868224\"]\n  24 [size=\"125812053\", alpha=\"0.04\", expect_size=\"37743616\"] \n  24 -> 25 [size =\"37743616\"]\n  25 [size=\"88494080\", alpha=\"0.14\", expect_size=\"26548224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76602880\", alpha=\"0.08\", expect_size=\"30641152\"] \n  1 -> 21 [size =\"30641152\"]\n  1 -> 22 [size =\"30641152\"]\n  1 -> 25 [size =\"30641152\"]\n  2 [size=\"49505280\", alpha=\"0.00\", expect_size=\"19802112\"] \n  3 [size=\"107389440\", alpha=\"0.03\", expect_size=\"42955776\"] \n  3 -> 22 [size =\"42955776\"]\n  3 -> 24 [size =\"42955776\"]\n  3 -> 25 [size =\"42955776\"]\n  4 [size=\"66585600\", alpha=\"0.02\", expect_size=\"26634240\"] \n  4 -> 23 [size =\"26634240\"]\n  5 [size=\"96908800\", alpha=\"0.10\", expect_size=\"38763520\"] \n  5 -> 22 [size =\"38763520\"]\n  6 [size=\"98708480\", alpha=\"0.14\", expect_size=\"39483392\"] \n  6 -> 21 [size =\"39483392\"]\n  7 [size=\"129602560\", alpha=\"0.01\", expect_size=\"51841024\"] \n  7 -> 21 [size =\"51841024\"]\n  7 -> 25 [size =\"51841024\"]\n  8 [size=\"99624960\", alpha=\"0.19\", expect_size=\"39849984\"] \n  8 -> 22 [size =\"39849984\"]\n  8 -> 23 [size =\"39849984\"]\n  9 [size=\"80094720\", alpha=\"0.12\", expect_size=\"32037888\"] \n  9 -> 20 [size =\"32037888\"]\n  10 [size=\"123837440\", alpha=\"0.05\", expect_size=\"49534976\"] \n  10 -> 24 [size =\"49534976\"]\n  11 [size=\"25192960\", alpha=\"0.10\", expect_size=\"10077184\"] \n  11 -> 21 [size =\"10077184\"]\n  11 -> 22 [size =\"10077184\"]\n  11 -> 24 [size =\"10077184\"]\n  12 [size=\"70077440\", alpha=\"0.09\", expect_size=\"28030976\"] \n  12 -> 22 [size =\"28030976\"]\n  13 [size=\"71467520\", alpha=\"0.09\", expect_size=\"28587008\"] \n  13 -> 22 [size =\"28587008\"]\n  14 [size=\"87252480\", alpha=\"0.12\", expect_size=\"34900992\"] \n  14 -> 21 [size =\"34900992\"]\n  15 [size=\"100753920\", alpha=\"0.03\", expect_size=\"40301568\"] \n  16 [size=\"43491840\", alpha=\"0.11\", expect_size=\"17396736\"] \n  17 [size=\"126922240\", alpha=\"0.01\", expect_size=\"50768896\"] \n  17 -> 21 [size =\"50768896\"]\n  18 [size=\"13299200\", alpha=\"0.16\", expect_size=\"5319680\"] \n  18 -> 25 [size =\"5319680\"]\n  19 [size=\"125388800\", alpha=\"0.14\", expect_size=\"50155520\"] \n  19 -> 25 [size =\"50155520\"]\n  20 [size=\"77772800\", alpha=\"0.06\", expect_size=\"31109120\"] \n  21 [size=\"105292800\", alpha=\"0.09\", expect_size=\"42117120\"] \n  22 [size=\"48765440\", alpha=\"0.18\", expect_size=\"19506176\"] \n  23 [size=\"100515840\", alpha=\"0.03\", expect_size=\"40206336\"] \n  24 [size=\"35473920\", alpha=\"0.17\", expect_size=\"14189568\"] \n  25 [size=\"103887360\", alpha=\"0.06\", expect_size=\"41554944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161559893\", alpha=\"0.06\", expect_size=\"48467968\"] \n  1 -> 2 [size =\"48467968\"]\n  2 [size=\"141687467\", alpha=\"0.07\", expect_size=\"42506240\"] \n  2 -> 3 [size =\"42506240\"]\n  3 [size=\"40236373\", alpha=\"0.10\", expect_size=\"12070912\"] \n  3 -> 4 [size =\"12070912\"]\n  4 [size=\"107772587\", alpha=\"0.05\", expect_size=\"32331776\"] \n  4 -> 5 [size =\"32331776\"]\n  5 [size=\"130123093\", alpha=\"0.14\", expect_size=\"39036928\"] \n  5 -> 6 [size =\"39036928\"]\n  6 [size=\"158771200\", alpha=\"0.19\", expect_size=\"47631360\"] \n  6 -> 7 [size =\"47631360\"]\n  7 [size=\"70328320\", alpha=\"0.13\", expect_size=\"21098496\"] \n  7 -> 8 [size =\"21098496\"]\n  8 [size=\"68427093\", alpha=\"0.19\", expect_size=\"20528128\"] \n  8 -> 9 [size =\"20528128\"]\n  9 [size=\"112189440\", alpha=\"0.12\", expect_size=\"33656832\"] \n  9 -> 10 [size =\"33656832\"]\n  10 [size=\"136376320\", alpha=\"0.01\", expect_size=\"40912896\"] \n  10 -> 11 [size =\"40912896\"]\n  11 [size=\"167761920\", alpha=\"0.12\", expect_size=\"50328576\"] \n  11 -> 12 [size =\"50328576\"]\n  12 [size=\"56715947\", alpha=\"0.13\", expect_size=\"17014784\"] \n  12 -> 13 [size =\"17014784\"]\n  13 [size=\"113530880\", alpha=\"0.05\", expect_size=\"34059264\"] \n  13 -> 14 [size =\"34059264\"]\n  14 [size=\"36352000\", alpha=\"0.02\", expect_size=\"10905600\"] \n  14 -> 15 [size =\"10905600\"]\n  15 [size=\"78032213\", alpha=\"0.00\", expect_size=\"23409664\"] \n  15 -> 16 [size =\"23409664\"]\n  16 [size=\"27999573\", alpha=\"0.12\", expect_size=\"8399872\"] \n  16 -> 17 [size =\"8399872\"]\n  17 [size=\"22818133\", alpha=\"0.09\", expect_size=\"6845440\"] \n  17 -> 18 [size =\"6845440\"]\n  18 [size=\"128232107\", alpha=\"0.13\", expect_size=\"38469632\"] \n  18 -> 19 [size =\"38469632\"]\n  19 [size=\"118114987\", alpha=\"0.17\", expect_size=\"35434496\"] \n  19 -> 20 [size =\"35434496\"]\n  20 [size=\"52254720\", alpha=\"0.11\", expect_size=\"15676416\"] \n  20 -> 21 [size =\"15676416\"]\n  21 [size=\"63651840\", alpha=\"0.03\", expect_size=\"19095552\"] \n  21 -> 22 [size =\"19095552\"]\n  22 [size=\"154555733\", alpha=\"0.11\", expect_size=\"46366720\"] \n  22 -> 23 [size =\"46366720\"]\n  23 [size=\"101888000\", alpha=\"0.02\", expect_size=\"30566400\"] \n  23 -> 24 [size =\"30566400\"]\n  24 [size=\"140492800\", alpha=\"0.04\", expect_size=\"42147840\"] \n  24 -> 25 [size =\"42147840\"]\n  25 [size=\"152715947\", alpha=\"0.00\", expect_size=\"45814784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57675093\", alpha=\"0.12\", expect_size=\"17302528\"] \n  1 -> 14 [size =\"17302528\"]\n  1 -> 19 [size =\"17302528\"]\n  1 -> 24 [size =\"17302528\"]\n  2 [size=\"127593813\", alpha=\"0.14\", expect_size=\"38278144\"] \n  2 -> 18 [size =\"38278144\"]\n  2 -> 22 [size =\"38278144\"]\n  2 -> 24 [size =\"38278144\"]\n  3 [size=\"101041493\", alpha=\"0.14\", expect_size=\"30312448\"] \n  3 -> 17 [size =\"30312448\"]\n  3 -> 20 [size =\"30312448\"]\n  3 -> 22 [size =\"30312448\"]\n  3 -> 23 [size =\"30312448\"]\n  3 -> 24 [size =\"30312448\"]\n  4 [size=\"35280213\", alpha=\"0.17\", expect_size=\"10584064\"] \n  4 -> 21 [size =\"10584064\"]\n  4 -> 23 [size =\"10584064\"]\n  5 [size=\"126259200\", alpha=\"0.15\", expect_size=\"37877760\"] \n  5 -> 21 [size =\"37877760\"]\n  6 [size=\"143387307\", alpha=\"0.07\", expect_size=\"43016192\"] \n  6 -> 18 [size =\"43016192\"]\n  6 -> 21 [size =\"43016192\"]\n  7 [size=\"143028907\", alpha=\"0.17\", expect_size=\"42908672\"] \n  7 -> 17 [size =\"42908672\"]\n  8 [size=\"134369280\", alpha=\"0.18\", expect_size=\"40310784\"] \n  8 -> 20 [size =\"40310784\"]\n  8 -> 23 [size =\"40310784\"]\n  9 [size=\"86183253\", alpha=\"0.10\", expect_size=\"25854976\"] \n  9 -> 15 [size =\"25854976\"]\n  9 -> 18 [size =\"25854976\"]\n  9 -> 20 [size =\"25854976\"]\n  9 -> 21 [size =\"25854976\"]\n  9 -> 25 [size =\"25854976\"]\n  10 [size=\"53531307\", alpha=\"0.11\", expect_size=\"16059392\"] \n  10 -> 19 [size =\"16059392\"]\n  10 -> 20 [size =\"16059392\"]\n  11 [size=\"104198827\", alpha=\"0.13\", expect_size=\"31259648\"] \n  11 -> 19 [size =\"31259648\"]\n  11 -> 22 [size =\"31259648\"]\n  11 -> 23 [size =\"31259648\"]\n  11 -> 24 [size =\"31259648\"]\n  12 [size=\"44987733\", alpha=\"0.20\", expect_size=\"13496320\"] \n  12 -> 17 [size =\"13496320\"]\n  12 -> 18 [size =\"13496320\"]\n  12 -> 19 [size =\"13496320\"]\n  12 -> 22 [size =\"13496320\"]\n  12 -> 23 [size =\"13496320\"]\n  13 [size=\"155054080\", alpha=\"0.17\", expect_size=\"46516224\"] \n  13 -> 15 [size =\"46516224\"]\n  13 -> 16 [size =\"46516224\"]\n  13 -> 19 [size =\"46516224\"]\n  13 -> 22 [size =\"46516224\"]\n  13 -> 23 [size =\"46516224\"]\n  13 -> 24 [size =\"46516224\"]\n  13 -> 25 [size =\"46516224\"]\n  14 [size=\"104826880\", alpha=\"0.02\", expect_size=\"31448064\"] \n  15 [size=\"78363307\", alpha=\"0.00\", expect_size=\"23508992\"] \n  16 [size=\"39461547\", alpha=\"0.04\", expect_size=\"11838464\"] \n  17 [size=\"97331200\", alpha=\"0.19\", expect_size=\"29199360\"] \n  18 [size=\"75834027\", alpha=\"0.12\", expect_size=\"22750208\"] \n  19 [size=\"57729707\", alpha=\"0.16\", expect_size=\"17318912\"] \n  20 [size=\"134263467\", alpha=\"0.18\", expect_size=\"40279040\"] \n  21 [size=\"65068373\", alpha=\"0.05\", expect_size=\"19520512\"] \n  22 [size=\"164427093\", alpha=\"0.07\", expect_size=\"49328128\"] \n  23 [size=\"164147200\", alpha=\"0.18\", expect_size=\"49244160\"] \n  24 [size=\"140943360\", alpha=\"0.12\", expect_size=\"42283008\"] \n  25 [size=\"156047360\", alpha=\"0.00\", expect_size=\"46814208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150350507\", alpha=\"0.12\", expect_size=\"45105152\"] \n  1 -> 2 [size =\"45105152\"]\n  2 [size=\"44789760\", alpha=\"0.07\", expect_size=\"13436928\"] \n  2 -> 3 [size =\"13436928\"]\n  3 [size=\"90576213\", alpha=\"0.04\", expect_size=\"27172864\"] \n  3 -> 4 [size =\"27172864\"]\n  4 [size=\"45417813\", alpha=\"0.07\", expect_size=\"13625344\"] \n  4 -> 5 [size =\"13625344\"]\n  5 [size=\"138185387\", alpha=\"0.20\", expect_size=\"41455616\"] \n  5 -> 6 [size =\"41455616\"]\n  6 [size=\"63488000\", alpha=\"0.18\", expect_size=\"19046400\"] \n  6 -> 7 [size =\"19046400\"]\n  7 [size=\"71024640\", alpha=\"0.02\", expect_size=\"21307392\"] \n  7 -> 8 [size =\"21307392\"]\n  8 [size=\"44653227\", alpha=\"0.18\", expect_size=\"13395968\"] \n  8 -> 9 [size =\"13395968\"]\n  9 [size=\"53800960\", alpha=\"0.17\", expect_size=\"16140288\"] \n  9 -> 10 [size =\"16140288\"]\n  10 [size=\"34781867\", alpha=\"0.07\", expect_size=\"10434560\"] \n  10 -> 11 [size =\"10434560\"]\n  11 [size=\"54886400\", alpha=\"0.14\", expect_size=\"16465920\"] \n  11 -> 12 [size =\"16465920\"]\n  12 [size=\"147309227\", alpha=\"0.01\", expect_size=\"44192768\"] \n  12 -> 13 [size =\"44192768\"]\n  13 [size=\"43322027\", alpha=\"0.01\", expect_size=\"12996608\"] \n  13 -> 14 [size =\"12996608\"]\n  14 [size=\"74738347\", alpha=\"0.01\", expect_size=\"22421504\"] \n  14 -> 15 [size =\"22421504\"]\n  15 [size=\"128419840\", alpha=\"0.17\", expect_size=\"38525952\"] \n  15 -> 16 [size =\"38525952\"]\n  16 [size=\"125784747\", alpha=\"0.06\", expect_size=\"37735424\"] \n  16 -> 17 [size =\"37735424\"]\n  17 [size=\"113152000\", alpha=\"0.15\", expect_size=\"33945600\"] \n  17 -> 18 [size =\"33945600\"]\n  18 [size=\"127887360\", alpha=\"0.15\", expect_size=\"38366208\"] \n  18 -> 19 [size =\"38366208\"]\n  19 [size=\"115554987\", alpha=\"0.10\", expect_size=\"34666496\"] \n  19 -> 20 [size =\"34666496\"]\n  20 [size=\"94020267\", alpha=\"0.10\", expect_size=\"28206080\"] \n  20 -> 21 [size =\"28206080\"]\n  21 [size=\"148531200\", alpha=\"0.06\", expect_size=\"44559360\"] \n  21 -> 22 [size =\"44559360\"]\n  22 [size=\"101427200\", alpha=\"0.07\", expect_size=\"30428160\"] \n  22 -> 23 [size =\"30428160\"]\n  23 [size=\"110004907\", alpha=\"0.16\", expect_size=\"33001472\"] \n  23 -> 24 [size =\"33001472\"]\n  24 [size=\"118859093\", alpha=\"0.09\", expect_size=\"35657728\"] \n  24 -> 25 [size =\"35657728\"]\n  25 [size=\"126580053\", alpha=\"0.18\", expect_size=\"37974016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76844373\", alpha=\"0.04\", expect_size=\"23053312\"] \n  1 -> 3 [size =\"23053312\"]\n  1 -> 4 [size =\"23053312\"]\n  1 -> 5 [size =\"23053312\"]\n  1 -> 6 [size =\"23053312\"]\n  1 -> 7 [size =\"23053312\"]\n  2 [size=\"130065067\", alpha=\"0.07\", expect_size=\"39019520\"] \n  2 -> 4 [size =\"39019520\"]\n  2 -> 5 [size =\"39019520\"]\n  2 -> 6 [size =\"39019520\"]\n  3 [size=\"23118507\", alpha=\"0.15\", expect_size=\"6935552\"] \n  3 -> 8 [size =\"6935552\"]\n  3 -> 9 [size =\"6935552\"]\n  3 -> 11 [size =\"6935552\"]\n  4 [size=\"92320427\", alpha=\"0.09\", expect_size=\"27696128\"] \n  4 -> 8 [size =\"27696128\"]\n  4 -> 10 [size =\"27696128\"]\n  4 -> 12 [size =\"27696128\"]\n  5 [size=\"97969493\", alpha=\"0.10\", expect_size=\"29390848\"] \n  5 -> 8 [size =\"29390848\"]\n  5 -> 10 [size =\"29390848\"]\n  5 -> 12 [size =\"29390848\"]\n  6 [size=\"44346027\", alpha=\"0.12\", expect_size=\"13303808\"] \n  6 -> 8 [size =\"13303808\"]\n  6 -> 9 [size =\"13303808\"]\n  6 -> 12 [size =\"13303808\"]\n  7 [size=\"64368640\", alpha=\"0.19\", expect_size=\"19310592\"] \n  7 -> 9 [size =\"19310592\"]\n  7 -> 12 [size =\"19310592\"]\n  8 [size=\"72905387\", alpha=\"0.11\", expect_size=\"21871616\"] \n  8 -> 13 [size =\"21871616\"]\n  9 [size=\"73946453\", alpha=\"0.11\", expect_size=\"22183936\"] \n  9 -> 14 [size =\"22183936\"]\n  10 [size=\"129249280\", alpha=\"0.02\", expect_size=\"38774784\"] \n  11 [size=\"99375787\", alpha=\"0.17\", expect_size=\"29812736\"] \n  12 [size=\"129621333\", alpha=\"0.12\", expect_size=\"38886400\"] \n  12 -> 13 [size =\"38886400\"]\n  12 -> 15 [size =\"38886400\"]\n  13 [size=\"27074560\", alpha=\"0.15\", expect_size=\"8122368\"] \n  13 -> 16 [size =\"8122368\"]\n  13 -> 18 [size =\"8122368\"]\n  13 -> 20 [size =\"8122368\"]\n  14 [size=\"144824320\", alpha=\"0.03\", expect_size=\"43447296\"] \n  14 -> 16 [size =\"43447296\"]\n  14 -> 17 [size =\"43447296\"]\n  14 -> 18 [size =\"43447296\"]\n  14 -> 19 [size =\"43447296\"]\n  14 -> 20 [size =\"43447296\"]\n  15 [size=\"56920747\", alpha=\"0.04\", expect_size=\"17076224\"] \n  15 -> 18 [size =\"17076224\"]\n  15 -> 20 [size =\"17076224\"]\n  16 [size=\"132966400\", alpha=\"0.19\", expect_size=\"39889920\"] \n  16 -> 21 [size =\"39889920\"]\n  16 -> 23 [size =\"39889920\"]\n  17 [size=\"67259733\", alpha=\"0.04\", expect_size=\"20177920\"] \n  17 -> 21 [size =\"20177920\"]\n  17 -> 24 [size =\"20177920\"]\n  18 [size=\"62999893\", alpha=\"0.13\", expect_size=\"18899968\"] \n  18 -> 22 [size =\"18899968\"]\n  19 [size=\"151732907\", alpha=\"0.02\", expect_size=\"45519872\"] \n  19 -> 21 [size =\"45519872\"]\n  19 -> 23 [size =\"45519872\"]\n  19 -> 24 [size =\"45519872\"]\n  20 [size=\"77636267\", alpha=\"0.09\", expect_size=\"23290880\"] \n  20 -> 21 [size =\"23290880\"]\n  20 -> 22 [size =\"23290880\"]\n  20 -> 23 [size =\"23290880\"]\n  21 [size=\"95016960\", alpha=\"0.02\", expect_size=\"28505088\"] \n  21 -> 25 [size =\"28505088\"]\n  22 [size=\"73226240\", alpha=\"0.10\", expect_size=\"21967872\"] \n  23 [size=\"170646187\", alpha=\"0.19\", expect_size=\"51193856\"] \n  24 [size=\"135072427\", alpha=\"0.17\", expect_size=\"40521728\"] \n  25 [size=\"155050667\", alpha=\"0.05\", expect_size=\"46515200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71065600\", alpha=\"0.01\", expect_size=\"28426240\"] \n  1 -> 17 [size =\"28426240\"]\n  2 [size=\"81479680\", alpha=\"0.06\", expect_size=\"32591872\"] \n  2 -> 14 [size =\"32591872\"]\n  2 -> 16 [size =\"32591872\"]\n  2 -> 17 [size =\"32591872\"]\n  3 [size=\"100032000\", alpha=\"0.13\", expect_size=\"40012800\"] \n  3 -> 14 [size =\"40012800\"]\n  4 [size=\"99138560\", alpha=\"0.14\", expect_size=\"39655424\"] \n  4 -> 13 [size =\"39655424\"]\n  5 [size=\"94438400\", alpha=\"0.20\", expect_size=\"37775360\"] \n  5 -> 12 [size =\"37775360\"]\n  5 -> 17 [size =\"37775360\"]\n  6 [size=\"117404160\", alpha=\"0.04\", expect_size=\"46961664\"] \n  7 [size=\"121034240\", alpha=\"0.02\", expect_size=\"48413696\"] \n  7 -> 13 [size =\"48413696\"]\n  7 -> 14 [size =\"48413696\"]\n  7 -> 15 [size =\"48413696\"]\n  7 -> 16 [size =\"48413696\"]\n  8 [size=\"86612480\", alpha=\"0.07\", expect_size=\"34644992\"] \n  8 -> 12 [size =\"34644992\"]\n  8 -> 13 [size =\"34644992\"]\n  8 -> 16 [size =\"34644992\"]\n  8 -> 16 [size =\"34644992\"]\n  9 [size=\"77872640\", alpha=\"0.20\", expect_size=\"31149056\"] \n  9 -> 12 [size =\"31149056\"]\n  9 -> 13 [size =\"31149056\"]\n  9 -> 17 [size =\"31149056\"]\n  10 [size=\"17221120\", alpha=\"0.03\", expect_size=\"6888448\"] \n  10 -> 13 [size =\"6888448\"]\n  10 -> 13 [size =\"6888448\"]\n  10 -> 17 [size =\"6888448\"]\n  11 [size=\"100661760\", alpha=\"0.08\", expect_size=\"40264704\"] \n  11 -> 17 [size =\"40264704\"]\n  12 [size=\"108390400\", alpha=\"0.20\", expect_size=\"43356160\"] \n  12 -> 20 [size =\"43356160\"]\n  13 [size=\"23093760\", alpha=\"0.07\", expect_size=\"9237504\"] \n  13 -> 20 [size =\"9237504\"]\n  13 -> 21 [size =\"9237504\"]\n  13 -> 23 [size =\"9237504\"]\n  13 -> 25 [size =\"9237504\"]\n  14 [size=\"98629120\", alpha=\"0.01\", expect_size=\"39451648\"] \n  14 -> 20 [size =\"39451648\"]\n  14 -> 22 [size =\"39451648\"]\n  14 -> 25 [size =\"39451648\"]\n  15 [size=\"62149120\", alpha=\"0.01\", expect_size=\"24859648\"] \n  15 -> 18 [size =\"24859648\"]\n  15 -> 19 [size =\"24859648\"]\n  15 -> 21 [size =\"24859648\"]\n  15 -> 22 [size =\"24859648\"]\n  16 [size=\"59952640\", alpha=\"0.09\", expect_size=\"23981056\"] \n  16 -> 19 [size =\"23981056\"]\n  16 -> 21 [size =\"23981056\"]\n  16 -> 24 [size =\"23981056\"]\n  16 -> 25 [size =\"23981056\"]\n  17 [size=\"83727360\", alpha=\"0.12\", expect_size=\"33490944\"] \n  17 -> 19 [size =\"33490944\"]\n  17 -> 23 [size =\"33490944\"]\n  17 -> 24 [size =\"33490944\"]\n  18 [size=\"95987200\", alpha=\"0.19\", expect_size=\"38394880\"] \n  19 [size=\"18618880\", alpha=\"0.03\", expect_size=\"7447552\"] \n  20 [size=\"16061440\", alpha=\"0.03\", expect_size=\"6424576\"] \n  21 [size=\"36008960\", alpha=\"0.14\", expect_size=\"14403584\"] \n  22 [size=\"85911040\", alpha=\"0.16\", expect_size=\"34364416\"] \n  23 [size=\"83804160\", alpha=\"0.13\", expect_size=\"33521664\"] \n  24 [size=\"122470400\", alpha=\"0.04\", expect_size=\"48988160\"] \n  25 [size=\"126428160\", alpha=\"0.09\", expect_size=\"50571264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43673600\", alpha=\"0.18\", expect_size=\"13102080\"] \n  1 -> 3 [size =\"13102080\"]\n  1 -> 4 [size =\"13102080\"]\n  2 [size=\"68778667\", alpha=\"0.15\", expect_size=\"20633600\"] \n  2 -> 3 [size =\"20633600\"]\n  2 -> 4 [size =\"20633600\"]\n  3 [size=\"31709867\", alpha=\"0.19\", expect_size=\"9512960\"] \n  3 -> 5 [size =\"9512960\"]\n  4 [size=\"102403413\", alpha=\"0.04\", expect_size=\"30721024\"] \n  5 [size=\"153115307\", alpha=\"0.02\", expect_size=\"45934592\"] \n  5 -> 6 [size =\"45934592\"]\n  5 -> 7 [size =\"45934592\"]\n  6 [size=\"63812267\", alpha=\"0.18\", expect_size=\"19143680\"] \n  7 [size=\"74813440\", alpha=\"0.13\", expect_size=\"22444032\"] \n  7 -> 8 [size =\"22444032\"]\n  7 -> 9 [size =\"22444032\"]\n  8 [size=\"78452053\", alpha=\"0.02\", expect_size=\"23535616\"] \n  9 [size=\"56722773\", alpha=\"0.07\", expect_size=\"17016832\"] \n  9 -> 10 [size =\"17016832\"]\n  10 [size=\"148206933\", alpha=\"0.19\", expect_size=\"44462080\"] \n  10 -> 11 [size =\"44462080\"]\n  10 -> 12 [size =\"44462080\"]\n  11 [size=\"91207680\", alpha=\"0.16\", expect_size=\"27362304\"] \n  11 -> 13 [size =\"27362304\"]\n  12 [size=\"72587947\", alpha=\"0.13\", expect_size=\"21776384\"] \n  12 -> 13 [size =\"21776384\"]\n  13 [size=\"29627733\", alpha=\"0.14\", expect_size=\"8888320\"] \n  13 -> 14 [size =\"8888320\"]\n  13 -> 15 [size =\"8888320\"]\n  14 [size=\"23828480\", alpha=\"0.09\", expect_size=\"7148544\"] \n  14 -> 16 [size =\"7148544\"]\n  15 [size=\"53265067\", alpha=\"0.10\", expect_size=\"15979520\"] \n  15 -> 16 [size =\"15979520\"]\n  15 -> 17 [size =\"15979520\"]\n  16 [size=\"69338453\", alpha=\"0.05\", expect_size=\"20801536\"] \n  17 [size=\"53708800\", alpha=\"0.00\", expect_size=\"16112640\"] \n  17 -> 18 [size =\"16112640\"]\n  18 [size=\"152145920\", alpha=\"0.06\", expect_size=\"45643776\"] \n  18 -> 19 [size =\"45643776\"]\n  18 -> 20 [size =\"45643776\"]\n  19 [size=\"166748160\", alpha=\"0.09\", expect_size=\"50024448\"] \n  20 [size=\"60876800\", alpha=\"0.14\", expect_size=\"18263040\"] \n  20 -> 21 [size =\"18263040\"]\n  21 [size=\"55429120\", alpha=\"0.03\", expect_size=\"16628736\"] \n  21 -> 22 [size =\"16628736\"]\n  21 -> 23 [size =\"16628736\"]\n  22 [size=\"24487253\", alpha=\"0.19\", expect_size=\"7346176\"] \n  23 [size=\"124712960\", alpha=\"0.17\", expect_size=\"37413888\"] \n  23 -> 24 [size =\"37413888\"]\n  23 -> 25 [size =\"37413888\"]\n  24 [size=\"79383893\", alpha=\"0.05\", expect_size=\"23815168\"] \n  25 [size=\"152712533\", alpha=\"0.10\", expect_size=\"45813760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29855744\", alpha=\"0.14\", expect_size=\"14927872\"] \n  1 -> 2 [size =\"14927872\"]\n  1 -> 3 [size =\"14927872\"]\n  2 [size=\"25821184\", alpha=\"0.04\", expect_size=\"12910592\"] \n  3 [size=\"56340480\", alpha=\"0.10\", expect_size=\"28170240\"] \n  3 -> 4 [size =\"28170240\"]\n  4 [size=\"31215616\", alpha=\"0.15\", expect_size=\"15607808\"] \n  4 -> 5 [size =\"15607808\"]\n  4 -> 6 [size =\"15607808\"]\n  5 [size=\"79130624\", alpha=\"0.11\", expect_size=\"39565312\"] \n  5 -> 7 [size =\"39565312\"]\n  5 -> 8 [size =\"39565312\"]\n  6 [size=\"26345472\", alpha=\"0.14\", expect_size=\"13172736\"] \n  7 [size=\"86054912\", alpha=\"0.14\", expect_size=\"43027456\"] \n  7 -> 9 [size =\"43027456\"]\n  7 -> 10 [size =\"43027456\"]\n  8 [size=\"62930944\", alpha=\"0.13\", expect_size=\"31465472\"] \n  8 -> 9 [size =\"31465472\"]\n  9 [size=\"18771968\", alpha=\"0.11\", expect_size=\"9385984\"] \n  9 -> 11 [size =\"9385984\"]\n  10 [size=\"61679616\", alpha=\"0.14\", expect_size=\"30839808\"] \n  10 -> 11 [size =\"30839808\"]\n  10 -> 12 [size =\"30839808\"]\n  11 [size=\"22894592\", alpha=\"0.02\", expect_size=\"11447296\"] \n  11 -> 13 [size =\"11447296\"]\n  11 -> 14 [size =\"11447296\"]\n  12 [size=\"90519552\", alpha=\"0.20\", expect_size=\"45259776\"] \n  12 -> 14 [size =\"45259776\"]\n  13 [size=\"15386624\", alpha=\"0.14\", expect_size=\"7693312\"] \n  13 -> 15 [size =\"7693312\"]\n  13 -> 16 [size =\"7693312\"]\n  14 [size=\"63059968\", alpha=\"0.16\", expect_size=\"31529984\"] \n  15 [size=\"40480768\", alpha=\"0.11\", expect_size=\"20240384\"] \n  15 -> 17 [size =\"20240384\"]\n  15 -> 18 [size =\"20240384\"]\n  16 [size=\"91029504\", alpha=\"0.18\", expect_size=\"45514752\"] \n  17 [size=\"63926272\", alpha=\"0.18\", expect_size=\"31963136\"] \n  18 [size=\"33720320\", alpha=\"0.08\", expect_size=\"16860160\"] \n  18 -> 19 [size =\"16860160\"]\n  19 [size=\"95598592\", alpha=\"0.04\", expect_size=\"47799296\"] \n  19 -> 20 [size =\"47799296\"]\n  19 -> 21 [size =\"47799296\"]\n  20 [size=\"54509568\", alpha=\"0.04\", expect_size=\"27254784\"] \n  21 [size=\"25227264\", alpha=\"0.09\", expect_size=\"12613632\"] \n  21 -> 22 [size =\"12613632\"]\n  22 [size=\"35141632\", alpha=\"0.17\", expect_size=\"17570816\"] \n  22 -> 23 [size =\"17570816\"]\n  23 [size=\"33527808\", alpha=\"0.14\", expect_size=\"16763904\"] \n  23 -> 24 [size =\"16763904\"]\n  24 [size=\"99188736\", alpha=\"0.16\", expect_size=\"49594368\"] \n  24 -> 25 [size =\"49594368\"]\n  25 [size=\"81387520\", alpha=\"0.13\", expect_size=\"40693760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89757013\", alpha=\"0.10\", expect_size=\"26927104\"] \n  1 -> 8 [size =\"26927104\"]\n  1 -> 9 [size =\"26927104\"]\n  1 -> 10 [size =\"26927104\"]\n  1 -> 12 [size =\"26927104\"]\n  1 -> 14 [size =\"26927104\"]\n  2 [size=\"118930773\", alpha=\"0.04\", expect_size=\"35679232\"] \n  2 -> 8 [size =\"35679232\"]\n  2 -> 9 [size =\"35679232\"]\n  2 -> 10 [size =\"35679232\"]\n  2 -> 11 [size =\"35679232\"]\n  2 -> 12 [size =\"35679232\"]\n  2 -> 13 [size =\"35679232\"]\n  2 -> 14 [size =\"35679232\"]\n  3 [size=\"138523307\", alpha=\"0.05\", expect_size=\"41556992\"] \n  3 -> 8 [size =\"41556992\"]\n  3 -> 9 [size =\"41556992\"]\n  3 -> 12 [size =\"41556992\"]\n  3 -> 14 [size =\"41556992\"]\n  4 [size=\"71417173\", alpha=\"0.00\", expect_size=\"21425152\"] \n  4 -> 9 [size =\"21425152\"]\n  4 -> 10 [size =\"21425152\"]\n  4 -> 12 [size =\"21425152\"]\n  4 -> 13 [size =\"21425152\"]\n  4 -> 14 [size =\"21425152\"]\n  5 [size=\"105775787\", alpha=\"0.02\", expect_size=\"31732736\"] \n  5 -> 9 [size =\"31732736\"]\n  5 -> 12 [size =\"31732736\"]\n  5 -> 12 [size =\"31732736\"]\n  5 -> 13 [size =\"31732736\"]\n  5 -> 14 [size =\"31732736\"]\n  6 [size=\"92682240\", alpha=\"0.06\", expect_size=\"27804672\"] \n  6 -> 9 [size =\"27804672\"]\n  6 -> 10 [size =\"27804672\"]\n  6 -> 13 [size =\"27804672\"]\n  6 -> 14 [size =\"27804672\"]\n  7 [size=\"77629440\", alpha=\"0.19\", expect_size=\"23288832\"] \n  7 -> 8 [size =\"23288832\"]\n  7 -> 9 [size =\"23288832\"]\n  7 -> 10 [size =\"23288832\"]\n  7 -> 11 [size =\"23288832\"]\n  7 -> 13 [size =\"23288832\"]\n  7 -> 15 [size =\"23288832\"]\n  8 [size=\"122545493\", alpha=\"0.13\", expect_size=\"36763648\"] \n  8 -> 19 [size =\"36763648\"]\n  8 -> 20 [size =\"36763648\"]\n  8 -> 21 [size =\"36763648\"]\n  8 -> 22 [size =\"36763648\"]\n  9 [size=\"159170560\", alpha=\"0.05\", expect_size=\"47751168\"] \n  9 -> 18 [size =\"47751168\"]\n  9 -> 19 [size =\"47751168\"]\n  9 -> 20 [size =\"47751168\"]\n  9 -> 21 [size =\"47751168\"]\n  10 [size=\"26402133\", alpha=\"0.11\", expect_size=\"7920640\"] \n  10 -> 16 [size =\"7920640\"]\n  10 -> 17 [size =\"7920640\"]\n  10 -> 19 [size =\"7920640\"]\n  10 -> 20 [size =\"7920640\"]\n  11 [size=\"69058560\", alpha=\"0.09\", expect_size=\"20717568\"] \n  11 -> 17 [size =\"20717568\"]\n  11 -> 17 [size =\"20717568\"]\n  11 -> 19 [size =\"20717568\"]\n  11 -> 20 [size =\"20717568\"]\n  11 -> 21 [size =\"20717568\"]\n  12 [size=\"143776427\", alpha=\"0.01\", expect_size=\"43132928\"] \n  12 -> 17 [size =\"43132928\"]\n  12 -> 19 [size =\"43132928\"]\n  12 -> 20 [size =\"43132928\"]\n  12 -> 21 [size =\"43132928\"]\n  12 -> 22 [size =\"43132928\"]\n  13 [size=\"17814187\", alpha=\"0.05\", expect_size=\"5344256\"] \n  13 -> 17 [size =\"5344256\"]\n  13 -> 19 [size =\"5344256\"]\n  13 -> 20 [size =\"5344256\"]\n  13 -> 22 [size =\"5344256\"]\n  14 [size=\"57866240\", alpha=\"0.07\", expect_size=\"17359872\"] \n  14 -> 17 [size =\"17359872\"]\n  15 [size=\"58678613\", alpha=\"0.06\", expect_size=\"17603584\"] \n  15 -> 20 [size =\"17603584\"]\n  15 -> 21 [size =\"17603584\"]\n  16 [size=\"74304853\", alpha=\"0.16\", expect_size=\"22291456\"] \n  16 -> 23 [size =\"22291456\"]\n  16 -> 24 [size =\"22291456\"]\n  17 [size=\"122740053\", alpha=\"0.15\", expect_size=\"36822016\"] \n  17 -> 23 [size =\"36822016\"]\n  17 -> 24 [size =\"36822016\"]\n  17 -> 25 [size =\"36822016\"]\n  18 [size=\"116288853\", alpha=\"0.05\", expect_size=\"34886656\"] \n  18 -> 23 [size =\"34886656\"]\n  18 -> 24 [size =\"34886656\"]\n  19 [size=\"60463787\", alpha=\"0.03\", expect_size=\"18139136\"] \n  19 -> 23 [size =\"18139136\"]\n  20 [size=\"101242880\", alpha=\"0.09\", expect_size=\"30372864\"] \n  20 -> 23 [size =\"30372864\"]\n  20 -> 24 [size =\"30372864\"]\n  21 [size=\"28808533\", alpha=\"0.04\", expect_size=\"8642560\"] \n  21 -> 24 [size =\"8642560\"]\n  21 -> 25 [size =\"8642560\"]\n  22 [size=\"98853547\", alpha=\"0.12\", expect_size=\"29656064\"] \n  22 -> 24 [size =\"29656064\"]\n  23 [size=\"103314773\", alpha=\"0.15\", expect_size=\"30994432\"] \n  24 [size=\"143656960\", alpha=\"0.06\", expect_size=\"43097088\"] \n  25 [size=\"42830507\", alpha=\"0.07\", expect_size=\"12849152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117952000\", alpha=\"0.17\", expect_size=\"47180800\"] \n  2 [size=\"54581760\", alpha=\"0.05\", expect_size=\"21832704\"] \n  2 -> 25 [size =\"21832704\"]\n  3 [size=\"36579840\", alpha=\"0.16\", expect_size=\"14631936\"] \n  3 -> 25 [size =\"14631936\"]\n  4 [size=\"78924800\", alpha=\"0.19\", expect_size=\"31569920\"] \n  5 [size=\"83066880\", alpha=\"0.19\", expect_size=\"33226752\"] \n  5 -> 25 [size =\"33226752\"]\n  6 [size=\"128015360\", alpha=\"0.16\", expect_size=\"51206144\"] \n  6 -> 25 [size =\"51206144\"]\n  7 [size=\"33052160\", alpha=\"0.16\", expect_size=\"13220864\"] \n  8 [size=\"95590400\", alpha=\"0.13\", expect_size=\"38236160\"] \n  9 [size=\"125957120\", alpha=\"0.12\", expect_size=\"50382848\"] \n  9 -> 25 [size =\"50382848\"]\n  10 [size=\"71838720\", alpha=\"0.09\", expect_size=\"28735488\"] \n  10 -> 25 [size =\"28735488\"]\n  11 [size=\"104737280\", alpha=\"0.18\", expect_size=\"41894912\"] \n  12 [size=\"84876800\", alpha=\"0.12\", expect_size=\"33950720\"] \n  13 [size=\"113164800\", alpha=\"0.19\", expect_size=\"45265920\"] \n  13 -> 25 [size =\"45265920\"]\n  14 [size=\"88860160\", alpha=\"0.00\", expect_size=\"35544064\"] \n  15 [size=\"83294720\", alpha=\"0.09\", expect_size=\"33317888\"] \n  16 [size=\"75264000\", alpha=\"0.09\", expect_size=\"30105600\"] \n  16 -> 25 [size =\"30105600\"]\n  17 [size=\"52889600\", alpha=\"0.17\", expect_size=\"21155840\"] \n  17 -> 25 [size =\"21155840\"]\n  18 [size=\"29053440\", alpha=\"0.06\", expect_size=\"11621376\"] \n  19 [size=\"104325120\", alpha=\"0.07\", expect_size=\"41730048\"] \n  20 [size=\"57047040\", alpha=\"0.07\", expect_size=\"22818816\"] \n  20 -> 25 [size =\"22818816\"]\n  21 [size=\"112962560\", alpha=\"0.05\", expect_size=\"45185024\"] \n  21 -> 25 [size =\"45185024\"]\n  22 [size=\"99740160\", alpha=\"0.10\", expect_size=\"39896064\"] \n  23 [size=\"51138560\", alpha=\"0.19\", expect_size=\"20455424\"] \n  24 [size=\"46430720\", alpha=\"0.19\", expect_size=\"18572288\"] \n  25 [size=\"48990720\", alpha=\"0.11\", expect_size=\"19596288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95064747\", alpha=\"0.04\", expect_size=\"28519424\"] \n  1 -> 14 [size =\"28519424\"]\n  1 -> 16 [size =\"28519424\"]\n  1 -> 18 [size =\"28519424\"]\n  1 -> 19 [size =\"28519424\"]\n  1 -> 22 [size =\"28519424\"]\n  1 -> 23 [size =\"28519424\"]\n  1 -> 24 [size =\"28519424\"]\n  1 -> 25 [size =\"28519424\"]\n  2 [size=\"142080000\", alpha=\"0.07\", expect_size=\"42624000\"] \n  2 -> 15 [size =\"42624000\"]\n  2 -> 17 [size =\"42624000\"]\n  2 -> 23 [size =\"42624000\"]\n  2 -> 24 [size =\"42624000\"]\n  3 [size=\"144667307\", alpha=\"0.06\", expect_size=\"43400192\"] \n  3 -> 15 [size =\"43400192\"]\n  3 -> 16 [size =\"43400192\"]\n  3 -> 23 [size =\"43400192\"]\n  4 [size=\"155904000\", alpha=\"0.01\", expect_size=\"46771200\"] \n  4 -> 15 [size =\"46771200\"]\n  4 -> 16 [size =\"46771200\"]\n  4 -> 23 [size =\"46771200\"]\n  4 -> 25 [size =\"46771200\"]\n  5 [size=\"107796480\", alpha=\"0.16\", expect_size=\"32338944\"] \n  5 -> 15 [size =\"32338944\"]\n  5 -> 16 [size =\"32338944\"]\n  5 -> 18 [size =\"32338944\"]\n  5 -> 20 [size =\"32338944\"]\n  5 -> 22 [size =\"32338944\"]\n  5 -> 23 [size =\"32338944\"]\n  5 -> 24 [size =\"32338944\"]\n  6 [size=\"17493333\", alpha=\"0.03\", expect_size=\"5248000\"] \n  6 -> 15 [size =\"5248000\"]\n  6 -> 18 [size =\"5248000\"]\n  6 -> 21 [size =\"5248000\"]\n  6 -> 24 [size =\"5248000\"]\n  6 -> 25 [size =\"5248000\"]\n  7 [size=\"66355200\", alpha=\"0.04\", expect_size=\"19906560\"] \n  7 -> 14 [size =\"19906560\"]\n  7 -> 21 [size =\"19906560\"]\n  7 -> 21 [size =\"19906560\"]\n  7 -> 25 [size =\"19906560\"]\n  8 [size=\"86336853\", alpha=\"0.02\", expect_size=\"25901056\"] \n  8 -> 14 [size =\"25901056\"]\n  8 -> 15 [size =\"25901056\"]\n  8 -> 16 [size =\"25901056\"]\n  8 -> 19 [size =\"25901056\"]\n  8 -> 20 [size =\"25901056\"]\n  8 -> 21 [size =\"25901056\"]\n  8 -> 24 [size =\"25901056\"]\n  9 [size=\"154603520\", alpha=\"0.06\", expect_size=\"46381056\"] \n  9 -> 16 [size =\"46381056\"]\n  9 -> 19 [size =\"46381056\"]\n  9 -> 21 [size =\"46381056\"]\n  9 -> 24 [size =\"46381056\"]\n  10 [size=\"115066880\", alpha=\"0.08\", expect_size=\"34520064\"] \n  10 -> 17 [size =\"34520064\"]\n  10 -> 19 [size =\"34520064\"]\n  10 -> 21 [size =\"34520064\"]\n  10 -> 22 [size =\"34520064\"]\n  10 -> 23 [size =\"34520064\"]\n  10 -> 25 [size =\"34520064\"]\n  11 [size=\"131457707\", alpha=\"0.09\", expect_size=\"39437312\"] \n  11 -> 14 [size =\"39437312\"]\n  11 -> 15 [size =\"39437312\"]\n  11 -> 19 [size =\"39437312\"]\n  11 -> 21 [size =\"39437312\"]\n  11 -> 25 [size =\"39437312\"]\n  11 -> 25 [size =\"39437312\"]\n  12 [size=\"162730667\", alpha=\"0.17\", expect_size=\"48819200\"] \n  12 -> 16 [size =\"48819200\"]\n  12 -> 18 [size =\"48819200\"]\n  12 -> 19 [size =\"48819200\"]\n  12 -> 23 [size =\"48819200\"]\n  12 -> 24 [size =\"48819200\"]\n  13 [size=\"57176747\", alpha=\"0.08\", expect_size=\"17153024\"] \n  13 -> 14 [size =\"17153024\"]\n  13 -> 16 [size =\"17153024\"]\n  13 -> 19 [size =\"17153024\"]\n  13 -> 22 [size =\"17153024\"]\n  14 [size=\"106246827\", alpha=\"0.15\", expect_size=\"31874048\"] \n  15 [size=\"114964480\", alpha=\"0.02\", expect_size=\"34489344\"] \n  16 [size=\"82609493\", alpha=\"0.10\", expect_size=\"24782848\"] \n  17 [size=\"103570773\", alpha=\"0.00\", expect_size=\"31071232\"] \n  18 [size=\"135502507\", alpha=\"0.18\", expect_size=\"40650752\"] \n  19 [size=\"150654293\", alpha=\"0.07\", expect_size=\"45196288\"] \n  20 [size=\"38072320\", alpha=\"0.12\", expect_size=\"11421696\"] \n  21 [size=\"97215147\", alpha=\"0.06\", expect_size=\"29164544\"] \n  22 [size=\"164922027\", alpha=\"0.17\", expect_size=\"49476608\"] \n  23 [size=\"141793280\", alpha=\"0.03\", expect_size=\"42537984\"] \n  24 [size=\"46598827\", alpha=\"0.08\", expect_size=\"13979648\"] \n  25 [size=\"166041600\", alpha=\"0.03\", expect_size=\"49812480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22671360\", alpha=\"0.06\", expect_size=\"6801408\"] \n  1 -> 2 [size =\"6801408\"]\n  2 [size=\"87098027\", alpha=\"0.09\", expect_size=\"26129408\"] \n  2 -> 3 [size =\"26129408\"]\n  3 [size=\"56087893\", alpha=\"0.11\", expect_size=\"16826368\"] \n  3 -> 4 [size =\"16826368\"]\n  4 [size=\"164259840\", alpha=\"0.05\", expect_size=\"49277952\"] \n  4 -> 5 [size =\"49277952\"]\n  5 [size=\"28395520\", alpha=\"0.13\", expect_size=\"8518656\"] \n  5 -> 6 [size =\"8518656\"]\n  6 [size=\"60026880\", alpha=\"0.17\", expect_size=\"18008064\"] \n  6 -> 7 [size =\"18008064\"]\n  7 [size=\"163082240\", alpha=\"0.18\", expect_size=\"48924672\"] \n  7 -> 8 [size =\"48924672\"]\n  8 [size=\"124426240\", alpha=\"0.18\", expect_size=\"37327872\"] \n  8 -> 9 [size =\"37327872\"]\n  9 [size=\"163502080\", alpha=\"0.17\", expect_size=\"49050624\"] \n  9 -> 10 [size =\"49050624\"]\n  10 [size=\"25296213\", alpha=\"0.00\", expect_size=\"7588864\"] \n  10 -> 11 [size =\"7588864\"]\n  11 [size=\"154644480\", alpha=\"0.16\", expect_size=\"46393344\"] \n  11 -> 12 [size =\"46393344\"]\n  12 [size=\"44752213\", alpha=\"0.00\", expect_size=\"13425664\"] \n  12 -> 13 [size =\"13425664\"]\n  13 [size=\"113264640\", alpha=\"0.03\", expect_size=\"33979392\"] \n  13 -> 14 [size =\"33979392\"]\n  14 [size=\"39007573\", alpha=\"0.17\", expect_size=\"11702272\"] \n  14 -> 15 [size =\"11702272\"]\n  15 [size=\"79022080\", alpha=\"0.20\", expect_size=\"23706624\"] \n  15 -> 16 [size =\"23706624\"]\n  16 [size=\"26398720\", alpha=\"0.19\", expect_size=\"7919616\"] \n  16 -> 17 [size =\"7919616\"]\n  17 [size=\"161549653\", alpha=\"0.10\", expect_size=\"48464896\"] \n  17 -> 18 [size =\"48464896\"]\n  18 [size=\"146599253\", alpha=\"0.15\", expect_size=\"43979776\"] \n  18 -> 19 [size =\"43979776\"]\n  19 [size=\"133986987\", alpha=\"0.19\", expect_size=\"40196096\"] \n  19 -> 20 [size =\"40196096\"]\n  20 [size=\"111827627\", alpha=\"0.14\", expect_size=\"33548288\"] \n  20 -> 21 [size =\"33548288\"]\n  21 [size=\"115002027\", alpha=\"0.10\", expect_size=\"34500608\"] \n  21 -> 22 [size =\"34500608\"]\n  22 [size=\"81841493\", alpha=\"0.15\", expect_size=\"24552448\"] \n  22 -> 23 [size =\"24552448\"]\n  23 [size=\"83558400\", alpha=\"0.05\", expect_size=\"25067520\"] \n  23 -> 24 [size =\"25067520\"]\n  24 [size=\"108438187\", alpha=\"0.13\", expect_size=\"32531456\"] \n  24 -> 25 [size =\"32531456\"]\n  25 [size=\"87439360\", alpha=\"0.03\", expect_size=\"26231808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15751168\", alpha=\"0.16\", expect_size=\"7875584\"] \n  1 -> 2 [size =\"7875584\"]\n  2 [size=\"19798016\", alpha=\"0.00\", expect_size=\"9899008\"] \n  2 -> 3 [size =\"9899008\"]\n  3 [size=\"97366016\", alpha=\"0.00\", expect_size=\"48683008\"] \n  3 -> 4 [size =\"48683008\"]\n  3 -> 5 [size =\"48683008\"]\n  4 [size=\"30218240\", alpha=\"0.03\", expect_size=\"15109120\"] \n  4 -> 6 [size =\"15109120\"]\n  5 [size=\"45770752\", alpha=\"0.04\", expect_size=\"22885376\"] \n  6 [size=\"69971968\", alpha=\"0.00\", expect_size=\"34985984\"] \n  6 -> 7 [size =\"34985984\"]\n  7 [size=\"16646144\", alpha=\"0.18\", expect_size=\"8323072\"] \n  7 -> 8 [size =\"8323072\"]\n  7 -> 9 [size =\"8323072\"]\n  8 [size=\"64690176\", alpha=\"0.05\", expect_size=\"32345088\"] \n  9 [size=\"97726464\", alpha=\"0.05\", expect_size=\"48863232\"] \n  9 -> 10 [size =\"48863232\"]\n  9 -> 11 [size =\"48863232\"]\n  10 [size=\"75354112\", alpha=\"0.18\", expect_size=\"37677056\"] \n  10 -> 12 [size =\"37677056\"]\n  10 -> 13 [size =\"37677056\"]\n  11 [size=\"30183424\", alpha=\"0.11\", expect_size=\"15091712\"] \n  11 -> 12 [size =\"15091712\"]\n  11 -> 13 [size =\"15091712\"]\n  12 [size=\"103942144\", alpha=\"0.16\", expect_size=\"51971072\"] \n  12 -> 14 [size =\"51971072\"]\n  13 [size=\"11036672\", alpha=\"0.03\", expect_size=\"5518336\"] \n  13 -> 14 [size =\"5518336\"]\n  14 [size=\"12474368\", alpha=\"0.17\", expect_size=\"6237184\"] \n  14 -> 15 [size =\"6237184\"]\n  15 [size=\"27234304\", alpha=\"0.11\", expect_size=\"13617152\"] \n  15 -> 16 [size =\"13617152\"]\n  15 -> 17 [size =\"13617152\"]\n  16 [size=\"44410880\", alpha=\"0.09\", expect_size=\"22205440\"] \n  16 -> 18 [size =\"22205440\"]\n  17 [size=\"46034944\", alpha=\"0.11\", expect_size=\"23017472\"] \n  17 -> 18 [size =\"23017472\"]\n  17 -> 19 [size =\"23017472\"]\n  18 [size=\"35092480\", alpha=\"0.03\", expect_size=\"17546240\"] \n  18 -> 20 [size =\"17546240\"]\n  18 -> 21 [size =\"17546240\"]\n  19 [size=\"60080128\", alpha=\"0.06\", expect_size=\"30040064\"] \n  19 -> 20 [size =\"30040064\"]\n  19 -> 21 [size =\"30040064\"]\n  20 [size=\"82239488\", alpha=\"0.09\", expect_size=\"41119744\"] \n  20 -> 22 [size =\"41119744\"]\n  21 [size=\"74948608\", alpha=\"0.14\", expect_size=\"37474304\"] \n  21 -> 22 [size =\"37474304\"]\n  22 [size=\"34824192\", alpha=\"0.00\", expect_size=\"17412096\"] \n  22 -> 23 [size =\"17412096\"]\n  22 -> 24 [size =\"17412096\"]\n  23 [size=\"18298880\", alpha=\"0.05\", expect_size=\"9149440\"] \n  24 [size=\"30611456\", alpha=\"0.14\", expect_size=\"15305728\"] \n  24 -> 25 [size =\"15305728\"]\n  25 [size=\"16545792\", alpha=\"0.11\", expect_size=\"8272896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71110656\", alpha=\"0.17\", expect_size=\"35555328\"] \n  1 -> 4 [size =\"35555328\"]\n  1 -> 5 [size =\"35555328\"]\n  1 -> 6 [size =\"35555328\"]\n  2 [size=\"90955776\", alpha=\"0.07\", expect_size=\"45477888\"] \n  2 -> 5 [size =\"45477888\"]\n  2 -> 7 [size =\"45477888\"]\n  3 [size=\"60084224\", alpha=\"0.18\", expect_size=\"30042112\"] \n  3 -> 6 [size =\"30042112\"]\n  4 [size=\"65978368\", alpha=\"0.02\", expect_size=\"32989184\"] \n  4 -> 9 [size =\"32989184\"]\n  5 [size=\"81072128\", alpha=\"0.08\", expect_size=\"40536064\"] \n  5 -> 9 [size =\"40536064\"]\n  6 [size=\"73566208\", alpha=\"0.19\", expect_size=\"36783104\"] \n  6 -> 10 [size =\"36783104\"]\n  7 [size=\"70440960\", alpha=\"0.17\", expect_size=\"35220480\"] \n  7 -> 8 [size =\"35220480\"]\n  7 -> 10 [size =\"35220480\"]\n  8 [size=\"58568704\", alpha=\"0.02\", expect_size=\"29284352\"] \n  8 -> 11 [size =\"29284352\"]\n  8 -> 13 [size =\"29284352\"]\n  9 [size=\"19300352\", alpha=\"0.11\", expect_size=\"9650176\"] \n  10 [size=\"95215616\", alpha=\"0.13\", expect_size=\"47607808\"] \n  10 -> 12 [size =\"47607808\"]\n  10 -> 13 [size =\"47607808\"]\n  11 [size=\"57526272\", alpha=\"0.04\", expect_size=\"28763136\"] \n  11 -> 14 [size =\"28763136\"]\n  11 -> 16 [size =\"28763136\"]\n  12 [size=\"45303808\", alpha=\"0.09\", expect_size=\"22651904\"] \n  13 [size=\"80029696\", alpha=\"0.11\", expect_size=\"40014848\"] \n  13 -> 15 [size =\"40014848\"]\n  13 -> 17 [size =\"40014848\"]\n  14 [size=\"69267456\", alpha=\"0.12\", expect_size=\"34633728\"] \n  14 -> 20 [size =\"34633728\"]\n  15 [size=\"79319040\", alpha=\"0.09\", expect_size=\"39659520\"] \n  15 -> 18 [size =\"39659520\"]\n  15 -> 19 [size =\"39659520\"]\n  15 -> 20 [size =\"39659520\"]\n  16 [size=\"24791040\", alpha=\"0.15\", expect_size=\"12395520\"] \n  16 -> 19 [size =\"12395520\"]\n  17 [size=\"22388736\", alpha=\"0.17\", expect_size=\"11194368\"] \n  18 [size=\"101820416\", alpha=\"0.06\", expect_size=\"50910208\"] \n  19 [size=\"15321088\", alpha=\"0.00\", expect_size=\"7660544\"] \n  19 -> 21 [size =\"7660544\"]\n  19 -> 22 [size =\"7660544\"]\n  19 -> 23 [size =\"7660544\"]\n  20 [size=\"67985408\", alpha=\"0.18\", expect_size=\"33992704\"] \n  21 [size=\"34580480\", alpha=\"0.08\", expect_size=\"17290240\"] \n  22 [size=\"52989952\", alpha=\"0.15\", expect_size=\"26494976\"] \n  23 [size=\"97024000\", alpha=\"0.12\", expect_size=\"48512000\"] \n  23 -> 24 [size =\"48512000\"]\n  23 -> 25 [size =\"48512000\"]\n  24 [size=\"56696832\", alpha=\"0.02\", expect_size=\"28348416\"] \n  25 [size=\"19908608\", alpha=\"0.06\", expect_size=\"9954304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162870613\", alpha=\"0.20\", expect_size=\"48861184\"] \n  1 -> 2 [size =\"48861184\"]\n  2 [size=\"20084053\", alpha=\"0.13\", expect_size=\"6025216\"] \n  2 -> 3 [size =\"6025216\"]\n  3 [size=\"91921067\", alpha=\"0.01\", expect_size=\"27576320\"] \n  3 -> 4 [size =\"27576320\"]\n  4 [size=\"30996480\", alpha=\"0.02\", expect_size=\"9298944\"] \n  4 -> 5 [size =\"9298944\"]\n  5 [size=\"79329280\", alpha=\"0.07\", expect_size=\"23798784\"] \n  5 -> 6 [size =\"23798784\"]\n  6 [size=\"113138347\", alpha=\"0.01\", expect_size=\"33941504\"] \n  6 -> 7 [size =\"33941504\"]\n  7 [size=\"45479253\", alpha=\"0.01\", expect_size=\"13643776\"] \n  7 -> 8 [size =\"13643776\"]\n  8 [size=\"48612693\", alpha=\"0.03\", expect_size=\"14583808\"] \n  8 -> 9 [size =\"14583808\"]\n  9 [size=\"114227200\", alpha=\"0.00\", expect_size=\"34268160\"] \n  9 -> 10 [size =\"34268160\"]\n  10 [size=\"107581440\", alpha=\"0.08\", expect_size=\"32274432\"] \n  10 -> 11 [size =\"32274432\"]\n  11 [size=\"141066240\", alpha=\"0.19\", expect_size=\"42319872\"] \n  11 -> 12 [size =\"42319872\"]\n  12 [size=\"139383467\", alpha=\"0.01\", expect_size=\"41815040\"] \n  12 -> 13 [size =\"41815040\"]\n  13 [size=\"84172800\", alpha=\"0.02\", expect_size=\"25251840\"] \n  13 -> 14 [size =\"25251840\"]\n  14 [size=\"93556053\", alpha=\"0.06\", expect_size=\"28066816\"] \n  14 -> 15 [size =\"28066816\"]\n  15 [size=\"111486293\", alpha=\"0.03\", expect_size=\"33445888\"] \n  15 -> 16 [size =\"33445888\"]\n  16 [size=\"168325120\", alpha=\"0.19\", expect_size=\"50497536\"] \n  16 -> 17 [size =\"50497536\"]\n  17 [size=\"173151573\", alpha=\"0.13\", expect_size=\"51945472\"] \n  17 -> 18 [size =\"51945472\"]\n  18 [size=\"20729173\", alpha=\"0.13\", expect_size=\"6218752\"] \n  18 -> 19 [size =\"6218752\"]\n  19 [size=\"42325333\", alpha=\"0.11\", expect_size=\"12697600\"] \n  19 -> 20 [size =\"12697600\"]\n  20 [size=\"45158400\", alpha=\"0.15\", expect_size=\"13547520\"] \n  20 -> 21 [size =\"13547520\"]\n  21 [size=\"110359893\", alpha=\"0.18\", expect_size=\"33107968\"] \n  21 -> 22 [size =\"33107968\"]\n  22 [size=\"102942720\", alpha=\"0.01\", expect_size=\"30882816\"] \n  22 -> 23 [size =\"30882816\"]\n  23 [size=\"114063360\", alpha=\"0.14\", expect_size=\"34219008\"] \n  23 -> 24 [size =\"34219008\"]\n  24 [size=\"129085440\", alpha=\"0.08\", expect_size=\"38725632\"] \n  24 -> 25 [size =\"38725632\"]\n  25 [size=\"174564693\", alpha=\"0.10\", expect_size=\"52369408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93944320\", alpha=\"0.13\", expect_size=\"37577728\"] \n  1 -> 2 [size =\"37577728\"]\n  1 -> 3 [size =\"37577728\"]\n  2 [size=\"92078080\", alpha=\"0.08\", expect_size=\"36831232\"] \n  2 -> 4 [size =\"36831232\"]\n  3 [size=\"27911680\", alpha=\"0.17\", expect_size=\"11164672\"] \n  4 [size=\"103336960\", alpha=\"0.17\", expect_size=\"41334784\"] \n  4 -> 5 [size =\"41334784\"]\n  4 -> 6 [size =\"41334784\"]\n  5 [size=\"84582400\", alpha=\"0.08\", expect_size=\"33832960\"] \n  5 -> 7 [size =\"33832960\"]\n  6 [size=\"98767360\", alpha=\"0.17\", expect_size=\"39506944\"] \n  6 -> 7 [size =\"39506944\"]\n  7 [size=\"91271680\", alpha=\"0.14\", expect_size=\"36508672\"] \n  7 -> 8 [size =\"36508672\"]\n  7 -> 9 [size =\"36508672\"]\n  8 [size=\"28518400\", alpha=\"0.02\", expect_size=\"11407360\"] \n  9 [size=\"65715200\", alpha=\"0.16\", expect_size=\"26286080\"] \n  9 -> 10 [size =\"26286080\"]\n  10 [size=\"120537600\", alpha=\"0.15\", expect_size=\"48215040\"] \n  10 -> 11 [size =\"48215040\"]\n  10 -> 12 [size =\"48215040\"]\n  11 [size=\"80565760\", alpha=\"0.06\", expect_size=\"32226304\"] \n  11 -> 13 [size =\"32226304\"]\n  12 [size=\"41310720\", alpha=\"0.19\", expect_size=\"16524288\"] \n  12 -> 13 [size =\"16524288\"]\n  13 [size=\"85831680\", alpha=\"0.15\", expect_size=\"34332672\"] \n  13 -> 14 [size =\"34332672\"]\n  14 [size=\"70819840\", alpha=\"0.03\", expect_size=\"28327936\"] \n  14 -> 15 [size =\"28327936\"]\n  15 [size=\"55170560\", alpha=\"0.18\", expect_size=\"22068224\"] \n  15 -> 16 [size =\"22068224\"]\n  16 [size=\"105295360\", alpha=\"0.11\", expect_size=\"42118144\"] \n  16 -> 17 [size =\"42118144\"]\n  17 [size=\"84986880\", alpha=\"0.09\", expect_size=\"33994752\"] \n  17 -> 18 [size =\"33994752\"]\n  17 -> 19 [size =\"33994752\"]\n  18 [size=\"48645120\", alpha=\"0.08\", expect_size=\"19458048\"] \n  18 -> 20 [size =\"19458048\"]\n  19 [size=\"61783040\", alpha=\"0.11\", expect_size=\"24713216\"] \n  20 [size=\"35914240\", alpha=\"0.10\", expect_size=\"14365696\"] \n  20 -> 21 [size =\"14365696\"]\n  20 -> 22 [size =\"14365696\"]\n  21 [size=\"123852800\", alpha=\"0.04\", expect_size=\"49541120\"] \n  21 -> 23 [size =\"49541120\"]\n  21 -> 24 [size =\"49541120\"]\n  22 [size=\"42496000\", alpha=\"0.10\", expect_size=\"16998400\"] \n  22 -> 23 [size =\"16998400\"]\n  22 -> 24 [size =\"16998400\"]\n  23 [size=\"34772480\", alpha=\"0.20\", expect_size=\"13908992\"] \n  23 -> 25 [size =\"13908992\"]\n  24 [size=\"125294080\", alpha=\"0.04\", expect_size=\"50117632\"] \n  24 -> 25 [size =\"50117632\"]\n  25 [size=\"24258560\", alpha=\"0.01\", expect_size=\"9703424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93323264\", alpha=\"0.07\", expect_size=\"46661632\"] \n  1 -> 5 [size =\"46661632\"]\n  2 [size=\"100345856\", alpha=\"0.06\", expect_size=\"50172928\"] \n  2 -> 6 [size =\"50172928\"]\n  3 [size=\"25585664\", alpha=\"0.17\", expect_size=\"12792832\"] \n  3 -> 5 [size =\"12792832\"]\n  3 -> 6 [size =\"12792832\"]\n  3 -> 7 [size =\"12792832\"]\n  4 [size=\"57063424\", alpha=\"0.15\", expect_size=\"28531712\"] \n  4 -> 5 [size =\"28531712\"]\n  5 [size=\"41361408\", alpha=\"0.01\", expect_size=\"20680704\"] \n  5 -> 10 [size =\"20680704\"]\n  5 -> 11 [size =\"20680704\"]\n  6 [size=\"41056256\", alpha=\"0.06\", expect_size=\"20528128\"] \n  6 -> 9 [size =\"20528128\"]\n  6 -> 10 [size =\"20528128\"]\n  6 -> 11 [size =\"20528128\"]\n  7 [size=\"32929792\", alpha=\"0.17\", expect_size=\"16464896\"] \n  7 -> 8 [size =\"16464896\"]\n  7 -> 11 [size =\"16464896\"]\n  8 [size=\"17651712\", alpha=\"0.08\", expect_size=\"8825856\"] \n  8 -> 12 [size =\"8825856\"]\n  8 -> 13 [size =\"8825856\"]\n  8 -> 14 [size =\"8825856\"]\n  9 [size=\"18794496\", alpha=\"0.11\", expect_size=\"9397248\"] \n  10 [size=\"29777920\", alpha=\"0.07\", expect_size=\"14888960\"] \n  10 -> 13 [size =\"14888960\"]\n  11 [size=\"43241472\", alpha=\"0.14\", expect_size=\"21620736\"] \n  11 -> 13 [size =\"21620736\"]\n  11 -> 14 [size =\"21620736\"]\n  12 [size=\"76926976\", alpha=\"0.05\", expect_size=\"38463488\"] \n  12 -> 15 [size =\"38463488\"]\n  12 -> 16 [size =\"38463488\"]\n  13 [size=\"10907648\", alpha=\"0.07\", expect_size=\"5453824\"] \n  13 -> 15 [size =\"5453824\"]\n  14 [size=\"91072512\", alpha=\"0.12\", expect_size=\"45536256\"] \n  14 -> 16 [size =\"45536256\"]\n  14 -> 17 [size =\"45536256\"]\n  15 [size=\"65339392\", alpha=\"0.12\", expect_size=\"32669696\"] \n  15 -> 18 [size =\"32669696\"]\n  16 [size=\"68102144\", alpha=\"0.03\", expect_size=\"34051072\"] \n  17 [size=\"96471040\", alpha=\"0.11\", expect_size=\"48235520\"] \n  17 -> 18 [size =\"48235520\"]\n  17 -> 19 [size =\"48235520\"]\n  17 -> 20 [size =\"48235520\"]\n  18 [size=\"83359744\", alpha=\"0.06\", expect_size=\"41679872\"] \n  18 -> 23 [size =\"41679872\"]\n  19 [size=\"27250688\", alpha=\"0.17\", expect_size=\"13625344\"] \n  19 -> 21 [size =\"13625344\"]\n  19 -> 23 [size =\"13625344\"]\n  20 [size=\"77412352\", alpha=\"0.18\", expect_size=\"38706176\"] \n  20 -> 21 [size =\"38706176\"]\n  20 -> 22 [size =\"38706176\"]\n  20 -> 23 [size =\"38706176\"]\n  20 -> 24 [size =\"38706176\"]\n  21 [size=\"13846528\", alpha=\"0.16\", expect_size=\"6923264\"] \n  21 -> 25 [size =\"6923264\"]\n  22 [size=\"82200576\", alpha=\"0.13\", expect_size=\"41100288\"] \n  22 -> 25 [size =\"41100288\"]\n  23 [size=\"11040768\", alpha=\"0.14\", expect_size=\"5520384\"] \n  24 [size=\"43321344\", alpha=\"0.04\", expect_size=\"21660672\"] \n  25 [size=\"99684352\", alpha=\"0.01\", expect_size=\"49842176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86593536\", alpha=\"0.03\", expect_size=\"43296768\"] \n  1 -> 2 [size =\"43296768\"]\n  2 [size=\"17920000\", alpha=\"0.17\", expect_size=\"8960000\"] \n  2 -> 3 [size =\"8960000\"]\n  3 [size=\"28090368\", alpha=\"0.02\", expect_size=\"14045184\"] \n  3 -> 4 [size =\"14045184\"]\n  4 [size=\"31313920\", alpha=\"0.09\", expect_size=\"15656960\"] \n  4 -> 5 [size =\"15656960\"]\n  5 [size=\"76089344\", alpha=\"0.01\", expect_size=\"38044672\"] \n  5 -> 6 [size =\"38044672\"]\n  6 [size=\"97255424\", alpha=\"0.04\", expect_size=\"48627712\"] \n  6 -> 7 [size =\"48627712\"]\n  7 [size=\"48117760\", alpha=\"0.13\", expect_size=\"24058880\"] \n  7 -> 8 [size =\"24058880\"]\n  8 [size=\"27340800\", alpha=\"0.17\", expect_size=\"13670400\"] \n  8 -> 9 [size =\"13670400\"]\n  9 [size=\"34834432\", alpha=\"0.13\", expect_size=\"17417216\"] \n  9 -> 10 [size =\"17417216\"]\n  10 [size=\"14741504\", alpha=\"0.06\", expect_size=\"7370752\"] \n  10 -> 11 [size =\"7370752\"]\n  11 [size=\"23764992\", alpha=\"0.12\", expect_size=\"11882496\"] \n  11 -> 12 [size =\"11882496\"]\n  12 [size=\"39702528\", alpha=\"0.12\", expect_size=\"19851264\"] \n  12 -> 13 [size =\"19851264\"]\n  13 [size=\"25872384\", alpha=\"0.00\", expect_size=\"12936192\"] \n  13 -> 14 [size =\"12936192\"]\n  14 [size=\"33609728\", alpha=\"0.14\", expect_size=\"16804864\"] \n  14 -> 15 [size =\"16804864\"]\n  15 [size=\"77373440\", alpha=\"0.17\", expect_size=\"38686720\"] \n  15 -> 16 [size =\"38686720\"]\n  16 [size=\"81829888\", alpha=\"0.08\", expect_size=\"40914944\"] \n  16 -> 17 [size =\"40914944\"]\n  17 [size=\"99932160\", alpha=\"0.16\", expect_size=\"49966080\"] \n  17 -> 18 [size =\"49966080\"]\n  18 [size=\"66576384\", alpha=\"0.19\", expect_size=\"33288192\"] \n  18 -> 19 [size =\"33288192\"]\n  19 [size=\"51898368\", alpha=\"0.11\", expect_size=\"25949184\"] \n  19 -> 20 [size =\"25949184\"]\n  20 [size=\"20432896\", alpha=\"0.04\", expect_size=\"10216448\"] \n  20 -> 21 [size =\"10216448\"]\n  21 [size=\"48609280\", alpha=\"0.13\", expect_size=\"24304640\"] \n  21 -> 22 [size =\"24304640\"]\n  22 [size=\"11417600\", alpha=\"0.04\", expect_size=\"5708800\"] \n  22 -> 23 [size =\"5708800\"]\n  23 [size=\"69855232\", alpha=\"0.18\", expect_size=\"34927616\"] \n  23 -> 24 [size =\"34927616\"]\n  24 [size=\"71751680\", alpha=\"0.17\", expect_size=\"35875840\"] \n  24 -> 25 [size =\"35875840\"]\n  25 [size=\"43120640\", alpha=\"0.09\", expect_size=\"21560320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111495680\", alpha=\"0.03\", expect_size=\"44598272\"] \n  1 -> 22 [size =\"44598272\"]\n  1 -> 24 [size =\"44598272\"]\n  2 [size=\"51271680\", alpha=\"0.01\", expect_size=\"20508672\"] \n  2 -> 22 [size =\"20508672\"]\n  2 -> 23 [size =\"20508672\"]\n  2 -> 24 [size =\"20508672\"]\n  3 [size=\"36044800\", alpha=\"0.19\", expect_size=\"14417920\"] \n  3 -> 22 [size =\"14417920\"]\n  3 -> 25 [size =\"14417920\"]\n  4 [size=\"127319040\", alpha=\"0.18\", expect_size=\"50927616\"] \n  4 -> 23 [size =\"50927616\"]\n  5 [size=\"64704000\", alpha=\"0.04\", expect_size=\"25881600\"] \n  5 -> 20 [size =\"25881600\"]\n  5 -> 23 [size =\"25881600\"]\n  5 -> 25 [size =\"25881600\"]\n  6 [size=\"98703360\", alpha=\"0.04\", expect_size=\"39481344\"] \n  6 -> 22 [size =\"39481344\"]\n  6 -> 23 [size =\"39481344\"]\n  6 -> 25 [size =\"39481344\"]\n  7 [size=\"126999040\", alpha=\"0.09\", expect_size=\"50799616\"] \n  7 -> 22 [size =\"50799616\"]\n  7 -> 25 [size =\"50799616\"]\n  8 [size=\"116011520\", alpha=\"0.15\", expect_size=\"46404608\"] \n  8 -> 20 [size =\"46404608\"]\n  8 -> 22 [size =\"46404608\"]\n  9 [size=\"39559680\", alpha=\"0.15\", expect_size=\"15823872\"] \n  9 -> 21 [size =\"15823872\"]\n  10 [size=\"29329920\", alpha=\"0.12\", expect_size=\"11731968\"] \n  10 -> 22 [size =\"11731968\"]\n  10 -> 25 [size =\"11731968\"]\n  11 [size=\"54428160\", alpha=\"0.05\", expect_size=\"21771264\"] \n  11 -> 23 [size =\"21771264\"]\n  12 [size=\"71239680\", alpha=\"0.19\", expect_size=\"28495872\"] \n  12 -> 23 [size =\"28495872\"]\n  12 -> 24 [size =\"28495872\"]\n  13 [size=\"76948480\", alpha=\"0.07\", expect_size=\"30779392\"] \n  13 -> 23 [size =\"30779392\"]\n  13 -> 24 [size =\"30779392\"]\n  14 [size=\"72514560\", alpha=\"0.13\", expect_size=\"29005824\"] \n  14 -> 21 [size =\"29005824\"]\n  14 -> 24 [size =\"29005824\"]\n  14 -> 25 [size =\"29005824\"]\n  15 [size=\"58670080\", alpha=\"0.07\", expect_size=\"23468032\"] \n  15 -> 23 [size =\"23468032\"]\n  15 -> 24 [size =\"23468032\"]\n  15 -> 25 [size =\"23468032\"]\n  16 [size=\"82117120\", alpha=\"0.06\", expect_size=\"32846848\"] \n  16 -> 22 [size =\"32846848\"]\n  17 [size=\"108236800\", alpha=\"0.14\", expect_size=\"43294720\"] \n  17 -> 23 [size =\"43294720\"]\n  18 [size=\"42964480\", alpha=\"0.15\", expect_size=\"17185792\"] \n  18 -> 22 [size =\"17185792\"]\n  18 -> 24 [size =\"17185792\"]\n  19 [size=\"15088640\", alpha=\"0.06\", expect_size=\"6035456\"] \n  19 -> 22 [size =\"6035456\"]\n  19 -> 24 [size =\"6035456\"]\n  20 [size=\"105062400\", alpha=\"0.18\", expect_size=\"42024960\"] \n  21 [size=\"56409600\", alpha=\"0.07\", expect_size=\"22563840\"] \n  22 [size=\"87370240\", alpha=\"0.02\", expect_size=\"34948096\"] \n  23 [size=\"82611200\", alpha=\"0.00\", expect_size=\"33044480\"] \n  24 [size=\"124392960\", alpha=\"0.19\", expect_size=\"49757184\"] \n  25 [size=\"81612800\", alpha=\"0.06\", expect_size=\"32645120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26542080\", alpha=\"0.07\", expect_size=\"7962624\"] \n  1 -> 2 [size =\"7962624\"]\n  2 [size=\"23746560\", alpha=\"0.00\", expect_size=\"7123968\"] \n  2 -> 3 [size =\"7123968\"]\n  3 [size=\"150534827\", alpha=\"0.10\", expect_size=\"45160448\"] \n  3 -> 4 [size =\"45160448\"]\n  3 -> 5 [size =\"45160448\"]\n  4 [size=\"129880747\", alpha=\"0.19\", expect_size=\"38964224\"] \n  4 -> 6 [size =\"38964224\"]\n  4 -> 7 [size =\"38964224\"]\n  5 [size=\"165099520\", alpha=\"0.06\", expect_size=\"49529856\"] \n  5 -> 6 [size =\"49529856\"]\n  5 -> 7 [size =\"49529856\"]\n  6 [size=\"171345920\", alpha=\"0.15\", expect_size=\"51403776\"] \n  6 -> 8 [size =\"51403776\"]\n  7 [size=\"141919573\", alpha=\"0.00\", expect_size=\"42575872\"] \n  8 [size=\"128815787\", alpha=\"0.16\", expect_size=\"38644736\"] \n  8 -> 9 [size =\"38644736\"]\n  8 -> 10 [size =\"38644736\"]\n  9 [size=\"59757227\", alpha=\"0.02\", expect_size=\"17927168\"] \n  9 -> 11 [size =\"17927168\"]\n  9 -> 12 [size =\"17927168\"]\n  10 [size=\"151354027\", alpha=\"0.11\", expect_size=\"45406208\"] \n  10 -> 11 [size =\"45406208\"]\n  10 -> 12 [size =\"45406208\"]\n  11 [size=\"90955093\", alpha=\"0.06\", expect_size=\"27286528\"] \n  11 -> 13 [size =\"27286528\"]\n  11 -> 14 [size =\"27286528\"]\n  12 [size=\"145981440\", alpha=\"0.08\", expect_size=\"43794432\"] \n  12 -> 13 [size =\"43794432\"]\n  12 -> 14 [size =\"43794432\"]\n  13 [size=\"146203307\", alpha=\"0.10\", expect_size=\"43860992\"] \n  13 -> 15 [size =\"43860992\"]\n  13 -> 16 [size =\"43860992\"]\n  14 [size=\"69321387\", alpha=\"0.03\", expect_size=\"20796416\"] \n  14 -> 15 [size =\"20796416\"]\n  14 -> 16 [size =\"20796416\"]\n  15 [size=\"61095253\", alpha=\"0.08\", expect_size=\"18328576\"] \n  15 -> 17 [size =\"18328576\"]\n  15 -> 18 [size =\"18328576\"]\n  16 [size=\"110448640\", alpha=\"0.14\", expect_size=\"33134592\"] \n  16 -> 17 [size =\"33134592\"]\n  16 -> 18 [size =\"33134592\"]\n  17 [size=\"71441067\", alpha=\"0.10\", expect_size=\"21432320\"] \n  18 [size=\"73936213\", alpha=\"0.19\", expect_size=\"22180864\"] \n  18 -> 19 [size =\"22180864\"]\n  19 [size=\"45581653\", alpha=\"0.07\", expect_size=\"13674496\"] \n  19 -> 20 [size =\"13674496\"]\n  19 -> 21 [size =\"13674496\"]\n  20 [size=\"62863360\", alpha=\"0.15\", expect_size=\"18859008\"] \n  20 -> 22 [size =\"18859008\"]\n  20 -> 23 [size =\"18859008\"]\n  21 [size=\"145950720\", alpha=\"0.04\", expect_size=\"43785216\"] \n  21 -> 22 [size =\"43785216\"]\n  21 -> 23 [size =\"43785216\"]\n  22 [size=\"32669013\", alpha=\"0.14\", expect_size=\"9800704\"] \n  23 [size=\"93494613\", alpha=\"0.01\", expect_size=\"28048384\"] \n  23 -> 24 [size =\"28048384\"]\n  24 [size=\"171717973\", alpha=\"0.03\", expect_size=\"51515392\"] \n  24 -> 25 [size =\"51515392\"]\n  25 [size=\"35850240\", alpha=\"0.03\", expect_size=\"10755072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123385173\", alpha=\"0.17\", expect_size=\"37015552\"] \n  1 -> 2 [size =\"37015552\"]\n  2 [size=\"115483307\", alpha=\"0.01\", expect_size=\"34644992\"] \n  2 -> 3 [size =\"34644992\"]\n  3 [size=\"155685547\", alpha=\"0.02\", expect_size=\"46705664\"] \n  3 -> 4 [size =\"46705664\"]\n  4 [size=\"69478400\", alpha=\"0.16\", expect_size=\"20843520\"] \n  4 -> 5 [size =\"20843520\"]\n  5 [size=\"169690453\", alpha=\"0.14\", expect_size=\"50907136\"] \n  5 -> 6 [size =\"50907136\"]\n  6 [size=\"126945280\", alpha=\"0.16\", expect_size=\"38083584\"] \n  6 -> 7 [size =\"38083584\"]\n  7 [size=\"29805227\", alpha=\"0.14\", expect_size=\"8941568\"] \n  7 -> 8 [size =\"8941568\"]\n  8 [size=\"113493333\", alpha=\"0.10\", expect_size=\"34048000\"] \n  8 -> 9 [size =\"34048000\"]\n  9 [size=\"71413760\", alpha=\"0.15\", expect_size=\"21424128\"] \n  9 -> 10 [size =\"21424128\"]\n  10 [size=\"87982080\", alpha=\"0.12\", expect_size=\"26394624\"] \n  10 -> 11 [size =\"26394624\"]\n  11 [size=\"161122987\", alpha=\"0.13\", expect_size=\"48336896\"] \n  11 -> 12 [size =\"48336896\"]\n  12 [size=\"134772053\", alpha=\"0.11\", expect_size=\"40431616\"] \n  12 -> 13 [size =\"40431616\"]\n  13 [size=\"140837547\", alpha=\"0.06\", expect_size=\"42251264\"] \n  13 -> 14 [size =\"42251264\"]\n  14 [size=\"153576107\", alpha=\"0.18\", expect_size=\"46072832\"] \n  14 -> 15 [size =\"46072832\"]\n  15 [size=\"119811413\", alpha=\"0.16\", expect_size=\"35943424\"] \n  15 -> 16 [size =\"35943424\"]\n  16 [size=\"72475307\", alpha=\"0.13\", expect_size=\"21742592\"] \n  16 -> 17 [size =\"21742592\"]\n  17 [size=\"42891947\", alpha=\"0.01\", expect_size=\"12867584\"] \n  17 -> 18 [size =\"12867584\"]\n  18 [size=\"154968747\", alpha=\"0.09\", expect_size=\"46490624\"] \n  18 -> 19 [size =\"46490624\"]\n  19 [size=\"75035307\", alpha=\"0.03\", expect_size=\"22510592\"] \n  19 -> 20 [size =\"22510592\"]\n  20 [size=\"34600960\", alpha=\"0.03\", expect_size=\"10380288\"] \n  20 -> 21 [size =\"10380288\"]\n  21 [size=\"128269653\", alpha=\"0.16\", expect_size=\"38480896\"] \n  21 -> 22 [size =\"38480896\"]\n  22 [size=\"73871360\", alpha=\"0.01\", expect_size=\"22161408\"] \n  22 -> 23 [size =\"22161408\"]\n  23 [size=\"159057920\", alpha=\"0.05\", expect_size=\"47717376\"] \n  23 -> 24 [size =\"47717376\"]\n  24 [size=\"47899307\", alpha=\"0.14\", expect_size=\"14369792\"] \n  24 -> 25 [size =\"14369792\"]\n  25 [size=\"35686400\", alpha=\"0.03\", expect_size=\"10705920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119995733\", alpha=\"0.05\", expect_size=\"35998720\"] \n  1 -> 2 [size =\"35998720\"]\n  2 [size=\"148353707\", alpha=\"0.06\", expect_size=\"44506112\"] \n  2 -> 3 [size =\"44506112\"]\n  3 [size=\"144783360\", alpha=\"0.19\", expect_size=\"43435008\"] \n  3 -> 4 [size =\"43435008\"]\n  4 [size=\"160221867\", alpha=\"0.02\", expect_size=\"48066560\"] \n  4 -> 5 [size =\"48066560\"]\n  5 [size=\"60586667\", alpha=\"0.03\", expect_size=\"18176000\"] \n  5 -> 6 [size =\"18176000\"]\n  6 [size=\"45895680\", alpha=\"0.02\", expect_size=\"13768704\"] \n  6 -> 7 [size =\"13768704\"]\n  7 [size=\"76724907\", alpha=\"0.20\", expect_size=\"23017472\"] \n  7 -> 8 [size =\"23017472\"]\n  8 [size=\"149818027\", alpha=\"0.06\", expect_size=\"44945408\"] \n  8 -> 9 [size =\"44945408\"]\n  9 [size=\"171089920\", alpha=\"0.15\", expect_size=\"51326976\"] \n  9 -> 10 [size =\"51326976\"]\n  10 [size=\"50554880\", alpha=\"0.17\", expect_size=\"15166464\"] \n  10 -> 11 [size =\"15166464\"]\n  11 [size=\"42414080\", alpha=\"0.07\", expect_size=\"12724224\"] \n  11 -> 12 [size =\"12724224\"]\n  12 [size=\"82117973\", alpha=\"0.08\", expect_size=\"24635392\"] \n  12 -> 13 [size =\"24635392\"]\n  13 [size=\"130160640\", alpha=\"0.13\", expect_size=\"39048192\"] \n  13 -> 14 [size =\"39048192\"]\n  14 [size=\"123873280\", alpha=\"0.13\", expect_size=\"37161984\"] \n  14 -> 15 [size =\"37161984\"]\n  15 [size=\"141820587\", alpha=\"0.09\", expect_size=\"42546176\"] \n  15 -> 16 [size =\"42546176\"]\n  16 [size=\"165164373\", alpha=\"0.16\", expect_size=\"49549312\"] \n  16 -> 17 [size =\"49549312\"]\n  17 [size=\"23029760\", alpha=\"0.06\", expect_size=\"6908928\"] \n  17 -> 18 [size =\"6908928\"]\n  18 [size=\"22002347\", alpha=\"0.13\", expect_size=\"6600704\"] \n  18 -> 19 [size =\"6600704\"]\n  19 [size=\"71830187\", alpha=\"0.14\", expect_size=\"21549056\"] \n  19 -> 20 [size =\"21549056\"]\n  20 [size=\"29508267\", alpha=\"0.18\", expect_size=\"8852480\"] \n  20 -> 21 [size =\"8852480\"]\n  21 [size=\"162754560\", alpha=\"0.15\", expect_size=\"48826368\"] \n  21 -> 22 [size =\"48826368\"]\n  22 [size=\"60566187\", alpha=\"0.09\", expect_size=\"18169856\"] \n  22 -> 23 [size =\"18169856\"]\n  23 [size=\"122658133\", alpha=\"0.20\", expect_size=\"36797440\"] \n  23 -> 24 [size =\"36797440\"]\n  24 [size=\"65160533\", alpha=\"0.08\", expect_size=\"19548160\"] \n  24 -> 25 [size =\"19548160\"]\n  25 [size=\"163543040\", alpha=\"0.02\", expect_size=\"49062912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150319787\", alpha=\"0.10\", expect_size=\"45095936\"] \n  1 -> 4 [size =\"45095936\"]\n  2 [size=\"104017920\", alpha=\"0.11\", expect_size=\"31205376\"] \n  2 -> 3 [size =\"31205376\"]\n  3 [size=\"150896640\", alpha=\"0.12\", expect_size=\"45268992\"] \n  3 -> 5 [size =\"45268992\"]\n  4 [size=\"82070187\", alpha=\"0.10\", expect_size=\"24621056\"] \n  5 [size=\"120975360\", alpha=\"0.04\", expect_size=\"36292608\"] \n  5 -> 6 [size =\"36292608\"]\n  6 [size=\"45322240\", alpha=\"0.09\", expect_size=\"13596672\"] \n  6 -> 7 [size =\"13596672\"]\n  7 [size=\"63672320\", alpha=\"0.10\", expect_size=\"19101696\"] \n  7 -> 8 [size =\"19101696\"]\n  8 [size=\"49636693\", alpha=\"0.12\", expect_size=\"14891008\"] \n  8 -> 9 [size =\"14891008\"]\n  9 [size=\"56029867\", alpha=\"0.12\", expect_size=\"16808960\"] \n  9 -> 10 [size =\"16808960\"]\n  9 -> 11 [size =\"16808960\"]\n  10 [size=\"103171413\", alpha=\"0.09\", expect_size=\"30951424\"] \n  10 -> 13 [size =\"30951424\"]\n  11 [size=\"48902827\", alpha=\"0.10\", expect_size=\"14670848\"] \n  11 -> 12 [size =\"14670848\"]\n  12 [size=\"130706773\", alpha=\"0.07\", expect_size=\"39212032\"] \n  13 [size=\"63675733\", alpha=\"0.15\", expect_size=\"19102720\"] \n  13 -> 14 [size =\"19102720\"]\n  14 [size=\"158607360\", alpha=\"0.07\", expect_size=\"47582208\"] \n  14 -> 15 [size =\"47582208\"]\n  15 [size=\"81408000\", alpha=\"0.18\", expect_size=\"24422400\"] \n  15 -> 16 [size =\"24422400\"]\n  16 [size=\"113155413\", alpha=\"0.13\", expect_size=\"33946624\"] \n  16 -> 17 [size =\"33946624\"]\n  16 -> 18 [size =\"33946624\"]\n  17 [size=\"24845653\", alpha=\"0.11\", expect_size=\"7453696\"] \n  17 -> 19 [size =\"7453696\"]\n  18 [size=\"107417600\", alpha=\"0.01\", expect_size=\"32225280\"] \n  19 [size=\"44240213\", alpha=\"0.17\", expect_size=\"13272064\"] \n  19 -> 20 [size =\"13272064\"]\n  19 -> 21 [size =\"13272064\"]\n  20 [size=\"137618773\", alpha=\"0.10\", expect_size=\"41285632\"] \n  20 -> 23 [size =\"41285632\"]\n  21 [size=\"54831787\", alpha=\"0.00\", expect_size=\"16449536\"] \n  21 -> 22 [size =\"16449536\"]\n  22 [size=\"131962880\", alpha=\"0.01\", expect_size=\"39588864\"] \n  22 -> 25 [size =\"39588864\"]\n  23 [size=\"26016427\", alpha=\"0.19\", expect_size=\"7804928\"] \n  23 -> 24 [size =\"7804928\"]\n  24 [size=\"140243627\", alpha=\"0.05\", expect_size=\"42073088\"] \n  25 [size=\"39618560\", alpha=\"0.05\", expect_size=\"11885568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96791893\", alpha=\"0.18\", expect_size=\"29037568\"] \n  2 [size=\"147589120\", alpha=\"0.19\", expect_size=\"44276736\"] \n  2 -> 3 [size =\"44276736\"]\n  2 -> 4 [size =\"44276736\"]\n  3 [size=\"168430933\", alpha=\"0.07\", expect_size=\"50529280\"] \n  4 [size=\"102205440\", alpha=\"0.10\", expect_size=\"30661632\"] \n  4 -> 5 [size =\"30661632\"]\n  5 [size=\"122272427\", alpha=\"0.05\", expect_size=\"36681728\"] \n  5 -> 6 [size =\"36681728\"]\n  5 -> 7 [size =\"36681728\"]\n  6 [size=\"107168427\", alpha=\"0.12\", expect_size=\"32150528\"] \n  6 -> 8 [size =\"32150528\"]\n  6 -> 9 [size =\"32150528\"]\n  7 [size=\"86784000\", alpha=\"0.02\", expect_size=\"26035200\"] \n  8 [size=\"134089387\", alpha=\"0.17\", expect_size=\"40226816\"] \n  8 -> 10 [size =\"40226816\"]\n  8 -> 11 [size =\"40226816\"]\n  9 [size=\"170803200\", alpha=\"0.09\", expect_size=\"51240960\"] \n  9 -> 10 [size =\"51240960\"]\n  10 [size=\"58651307\", alpha=\"0.06\", expect_size=\"17595392\"] \n  10 -> 12 [size =\"17595392\"]\n  11 [size=\"24999253\", alpha=\"0.03\", expect_size=\"7499776\"] \n  11 -> 12 [size =\"7499776\"]\n  12 [size=\"164597760\", alpha=\"0.06\", expect_size=\"49379328\"] \n  12 -> 13 [size =\"49379328\"]\n  13 [size=\"152934400\", alpha=\"0.08\", expect_size=\"45880320\"] \n  13 -> 14 [size =\"45880320\"]\n  13 -> 15 [size =\"45880320\"]\n  14 [size=\"48633173\", alpha=\"0.14\", expect_size=\"14589952\"] \n  15 [size=\"127047680\", alpha=\"0.19\", expect_size=\"38114304\"] \n  15 -> 16 [size =\"38114304\"]\n  16 [size=\"162624853\", alpha=\"0.01\", expect_size=\"48787456\"] \n  16 -> 17 [size =\"48787456\"]\n  17 [size=\"96921600\", alpha=\"0.02\", expect_size=\"29076480\"] \n  17 -> 18 [size =\"29076480\"]\n  17 -> 19 [size =\"29076480\"]\n  18 [size=\"114029227\", alpha=\"0.14\", expect_size=\"34208768\"] \n  19 [size=\"90753707\", alpha=\"0.06\", expect_size=\"27226112\"] \n  19 -> 20 [size =\"27226112\"]\n  20 [size=\"158692693\", alpha=\"0.16\", expect_size=\"47607808\"] \n  20 -> 21 [size =\"47607808\"]\n  20 -> 22 [size =\"47607808\"]\n  21 [size=\"44963840\", alpha=\"0.16\", expect_size=\"13489152\"] \n  21 -> 23 [size =\"13489152\"]\n  21 -> 24 [size =\"13489152\"]\n  22 [size=\"66235733\", alpha=\"0.13\", expect_size=\"19870720\"] \n  23 [size=\"115384320\", alpha=\"0.09\", expect_size=\"34615296\"] \n  23 -> 25 [size =\"34615296\"]\n  24 [size=\"18169173\", alpha=\"0.16\", expect_size=\"5450752\"] \n  25 [size=\"126225067\", alpha=\"0.16\", expect_size=\"37867520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101416960\", alpha=\"0.07\", expect_size=\"50708480\"] \n  1 -> 14 [size =\"50708480\"]\n  1 -> 16 [size =\"50708480\"]\n  1 -> 18 [size =\"50708480\"]\n  1 -> 19 [size =\"50708480\"]\n  1 -> 23 [size =\"50708480\"]\n  1 -> 24 [size =\"50708480\"]\n  1 -> 25 [size =\"50708480\"]\n  2 [size=\"102092800\", alpha=\"0.02\", expect_size=\"51046400\"] \n  2 -> 14 [size =\"51046400\"]\n  2 -> 16 [size =\"51046400\"]\n  2 -> 20 [size =\"51046400\"]\n  2 -> 21 [size =\"51046400\"]\n  2 -> 22 [size =\"51046400\"]\n  2 -> 23 [size =\"51046400\"]\n  2 -> 24 [size =\"51046400\"]\n  3 [size=\"44189696\", alpha=\"0.11\", expect_size=\"22094848\"] \n  3 -> 23 [size =\"22094848\"]\n  3 -> 24 [size =\"22094848\"]\n  4 [size=\"48910336\", alpha=\"0.20\", expect_size=\"24455168\"] \n  4 -> 16 [size =\"24455168\"]\n  4 -> 20 [size =\"24455168\"]\n  4 -> 21 [size =\"24455168\"]\n  4 -> 25 [size =\"24455168\"]\n  5 [size=\"89016320\", alpha=\"0.17\", expect_size=\"44508160\"] \n  5 -> 20 [size =\"44508160\"]\n  5 -> 21 [size =\"44508160\"]\n  5 -> 23 [size =\"44508160\"]\n  5 -> 24 [size =\"44508160\"]\n  5 -> 25 [size =\"44508160\"]\n  6 [size=\"47421440\", alpha=\"0.03\", expect_size=\"23710720\"] \n  6 -> 16 [size =\"23710720\"]\n  6 -> 20 [size =\"23710720\"]\n  6 -> 24 [size =\"23710720\"]\n  6 -> 24 [size =\"23710720\"]\n  6 -> 25 [size =\"23710720\"]\n  7 [size=\"88551424\", alpha=\"0.17\", expect_size=\"44275712\"] \n  7 -> 15 [size =\"44275712\"]\n  7 -> 16 [size =\"44275712\"]\n  7 -> 17 [size =\"44275712\"]\n  7 -> 18 [size =\"44275712\"]\n  7 -> 19 [size =\"44275712\"]\n  7 -> 23 [size =\"44275712\"]\n  7 -> 24 [size =\"44275712\"]\n  7 -> 25 [size =\"44275712\"]\n  8 [size=\"87656448\", alpha=\"0.10\", expect_size=\"43828224\"] \n  8 -> 16 [size =\"43828224\"]\n  8 -> 16 [size =\"43828224\"]\n  8 -> 19 [size =\"43828224\"]\n  8 -> 22 [size =\"43828224\"]\n  8 -> 25 [size =\"43828224\"]\n  9 [size=\"79527936\", alpha=\"0.07\", expect_size=\"39763968\"] \n  9 -> 16 [size =\"39763968\"]\n  9 -> 20 [size =\"39763968\"]\n  9 -> 21 [size =\"39763968\"]\n  9 -> 23 [size =\"39763968\"]\n  9 -> 24 [size =\"39763968\"]\n  10 [size=\"47431680\", alpha=\"0.10\", expect_size=\"23715840\"] \n  10 -> 16 [size =\"23715840\"]\n  10 -> 17 [size =\"23715840\"]\n  10 -> 20 [size =\"23715840\"]\n  10 -> 21 [size =\"23715840\"]\n  10 -> 22 [size =\"23715840\"]\n  10 -> 23 [size =\"23715840\"]\n  10 -> 25 [size =\"23715840\"]\n  11 [size=\"15988736\", alpha=\"0.20\", expect_size=\"7994368\"] \n  11 -> 21 [size =\"7994368\"]\n  11 -> 23 [size =\"7994368\"]\n  11 -> 24 [size =\"7994368\"]\n  11 -> 25 [size =\"7994368\"]\n  12 [size=\"48775168\", alpha=\"0.10\", expect_size=\"24387584\"] \n  12 -> 15 [size =\"24387584\"]\n  12 -> 16 [size =\"24387584\"]\n  12 -> 22 [size =\"24387584\"]\n  12 -> 23 [size =\"24387584\"]\n  12 -> 24 [size =\"24387584\"]\n  12 -> 25 [size =\"24387584\"]\n  13 [size=\"56750080\", alpha=\"0.19\", expect_size=\"28375040\"] \n  13 -> 15 [size =\"28375040\"]\n  13 -> 16 [size =\"28375040\"]\n  13 -> 19 [size =\"28375040\"]\n  13 -> 21 [size =\"28375040\"]\n  13 -> 23 [size =\"28375040\"]\n  13 -> 24 [size =\"28375040\"]\n  14 [size=\"16261120\", alpha=\"0.10\", expect_size=\"8130560\"] \n  15 [size=\"16060416\", alpha=\"0.05\", expect_size=\"8030208\"] \n  16 [size=\"98248704\", alpha=\"0.10\", expect_size=\"49124352\"] \n  17 [size=\"18515968\", alpha=\"0.01\", expect_size=\"9257984\"] \n  18 [size=\"100677632\", alpha=\"0.17\", expect_size=\"50338816\"] \n  19 [size=\"53848064\", alpha=\"0.05\", expect_size=\"26924032\"] \n  20 [size=\"87760896\", alpha=\"0.15\", expect_size=\"43880448\"] \n  21 [size=\"38866944\", alpha=\"0.03\", expect_size=\"19433472\"] \n  22 [size=\"38371328\", alpha=\"0.11\", expect_size=\"19185664\"] \n  23 [size=\"87474176\", alpha=\"0.07\", expect_size=\"43737088\"] \n  24 [size=\"80531456\", alpha=\"0.10\", expect_size=\"40265728\"] \n  25 [size=\"35239936\", alpha=\"0.10\", expect_size=\"17619968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79976960\", alpha=\"0.14\", expect_size=\"31990784\"] \n  1 -> 24 [size =\"31990784\"]\n  1 -> 25 [size =\"31990784\"]\n  2 [size=\"61486080\", alpha=\"0.13\", expect_size=\"24594432\"] \n  2 -> 24 [size =\"24594432\"]\n  2 -> 25 [size =\"24594432\"]\n  3 [size=\"68032000\", alpha=\"0.12\", expect_size=\"27212800\"] \n  3 -> 21 [size =\"27212800\"]\n  3 -> 24 [size =\"27212800\"]\n  4 [size=\"40015360\", alpha=\"0.12\", expect_size=\"16006144\"] \n  5 [size=\"49927680\", alpha=\"0.15\", expect_size=\"19971072\"] \n  5 -> 23 [size =\"19971072\"]\n  6 [size=\"121195520\", alpha=\"0.09\", expect_size=\"48478208\"] \n  6 -> 21 [size =\"48478208\"]\n  7 [size=\"127272960\", alpha=\"0.15\", expect_size=\"50909184\"] \n  8 [size=\"78602240\", alpha=\"0.19\", expect_size=\"31440896\"] \n  8 -> 24 [size =\"31440896\"]\n  8 -> 25 [size =\"31440896\"]\n  9 [size=\"89269760\", alpha=\"0.11\", expect_size=\"35707904\"] \n  9 -> 23 [size =\"35707904\"]\n  10 [size=\"73594880\", alpha=\"0.07\", expect_size=\"29437952\"] \n  10 -> 21 [size =\"29437952\"]\n  10 -> 23 [size =\"29437952\"]\n  11 [size=\"13649920\", alpha=\"0.00\", expect_size=\"5459968\"] \n  12 [size=\"97881600\", alpha=\"0.05\", expect_size=\"39152640\"] \n  12 -> 20 [size =\"39152640\"]\n  12 -> 24 [size =\"39152640\"]\n  13 [size=\"59276800\", alpha=\"0.17\", expect_size=\"23710720\"] \n  13 -> 20 [size =\"23710720\"]\n  14 [size=\"128596480\", alpha=\"0.15\", expect_size=\"51438592\"] \n  14 -> 20 [size =\"51438592\"]\n  14 -> 24 [size =\"51438592\"]\n  15 [size=\"81241600\", alpha=\"0.07\", expect_size=\"32496640\"] \n  15 -> 24 [size =\"32496640\"]\n  15 -> 25 [size =\"32496640\"]\n  16 [size=\"49448960\", alpha=\"0.00\", expect_size=\"19779584\"] \n  17 [size=\"105397760\", alpha=\"0.03\", expect_size=\"42159104\"] \n  17 -> 25 [size =\"42159104\"]\n  18 [size=\"78330880\", alpha=\"0.08\", expect_size=\"31332352\"] \n  18 -> 25 [size =\"31332352\"]\n  19 [size=\"73057280\", alpha=\"0.14\", expect_size=\"29222912\"] \n  19 -> 22 [size =\"29222912\"]\n  19 -> 25 [size =\"29222912\"]\n  20 [size=\"18263040\", alpha=\"0.08\", expect_size=\"7305216\"] \n  21 [size=\"62215680\", alpha=\"0.13\", expect_size=\"24886272\"] \n  22 [size=\"64921600\", alpha=\"0.06\", expect_size=\"25968640\"] \n  23 [size=\"96445440\", alpha=\"0.09\", expect_size=\"38578176\"] \n  24 [size=\"77424640\", alpha=\"0.16\", expect_size=\"30969856\"] \n  25 [size=\"45616640\", alpha=\"0.10\", expect_size=\"18246656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81912320\", alpha=\"0.02\", expect_size=\"32764928\"] \n  1 -> 3 [size =\"32764928\"]\n  1 -> 5 [size =\"32764928\"]\n  2 [size=\"20152320\", alpha=\"0.14\", expect_size=\"8060928\"] \n  2 -> 4 [size =\"8060928\"]\n  3 [size=\"108008960\", alpha=\"0.02\", expect_size=\"43203584\"] \n  3 -> 7 [size =\"43203584\"]\n  3 -> 8 [size =\"43203584\"]\n  4 [size=\"125831680\", alpha=\"0.06\", expect_size=\"50332672\"] \n  4 -> 6 [size =\"50332672\"]\n  4 -> 8 [size =\"50332672\"]\n  5 [size=\"86855680\", alpha=\"0.14\", expect_size=\"34742272\"] \n  5 -> 6 [size =\"34742272\"]\n  6 [size=\"108940800\", alpha=\"0.09\", expect_size=\"43576320\"] \n  6 -> 9 [size =\"43576320\"]\n  7 [size=\"22881280\", alpha=\"0.05\", expect_size=\"9152512\"] \n  7 -> 9 [size =\"9152512\"]\n  8 [size=\"91133440\", alpha=\"0.06\", expect_size=\"36453376\"] \n  8 -> 10 [size =\"36453376\"]\n  8 -> 11 [size =\"36453376\"]\n  9 [size=\"129118720\", alpha=\"0.12\", expect_size=\"51647488\"] \n  9 -> 12 [size =\"51647488\"]\n  9 -> 14 [size =\"51647488\"]\n  10 [size=\"80399360\", alpha=\"0.01\", expect_size=\"32159744\"] \n  10 -> 15 [size =\"32159744\"]\n  11 [size=\"112102400\", alpha=\"0.06\", expect_size=\"44840960\"] \n  11 -> 13 [size =\"44840960\"]\n  11 -> 14 [size =\"44840960\"]\n  11 -> 15 [size =\"44840960\"]\n  12 [size=\"125534720\", alpha=\"0.11\", expect_size=\"50213888\"] \n  12 -> 17 [size =\"50213888\"]\n  12 -> 18 [size =\"50213888\"]\n  13 [size=\"91448320\", alpha=\"0.12\", expect_size=\"36579328\"] \n  14 [size=\"103792640\", alpha=\"0.03\", expect_size=\"41517056\"] \n  14 -> 16 [size =\"41517056\"]\n  14 -> 17 [size =\"41517056\"]\n  15 [size=\"22558720\", alpha=\"0.18\", expect_size=\"9023488\"] \n  15 -> 16 [size =\"9023488\"]\n  15 -> 19 [size =\"9023488\"]\n  16 [size=\"104258560\", alpha=\"0.03\", expect_size=\"41703424\"] \n  16 -> 21 [size =\"41703424\"]\n  17 [size=\"37478400\", alpha=\"0.07\", expect_size=\"14991360\"] \n  17 -> 22 [size =\"14991360\"]\n  18 [size=\"66368000\", alpha=\"0.06\", expect_size=\"26547200\"] \n  18 -> 20 [size =\"26547200\"]\n  18 -> 22 [size =\"26547200\"]\n  19 [size=\"102220800\", alpha=\"0.09\", expect_size=\"40888320\"] \n  19 -> 20 [size =\"40888320\"]\n  19 -> 21 [size =\"40888320\"]\n  20 [size=\"55114240\", alpha=\"0.08\", expect_size=\"22045696\"] \n  20 -> 23 [size =\"22045696\"]\n  20 -> 25 [size =\"22045696\"]\n  21 [size=\"63897600\", alpha=\"0.20\", expect_size=\"25559040\"] \n  22 [size=\"102138880\", alpha=\"0.12\", expect_size=\"40855552\"] \n  22 -> 24 [size =\"40855552\"]\n  23 [size=\"46566400\", alpha=\"0.01\", expect_size=\"18626560\"] \n  24 [size=\"115535360\", alpha=\"0.09\", expect_size=\"46214144\"] \n  25 [size=\"14791680\", alpha=\"0.09\", expect_size=\"5916672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83063467\", alpha=\"0.10\", expect_size=\"24919040\"] \n  1 -> 19 [size =\"24919040\"]\n  1 -> 21 [size =\"24919040\"]\n  2 [size=\"87883093\", alpha=\"0.15\", expect_size=\"26364928\"] \n  2 -> 21 [size =\"26364928\"]\n  2 -> 24 [size =\"26364928\"]\n  3 [size=\"174349653\", alpha=\"0.18\", expect_size=\"52304896\"] \n  3 -> 19 [size =\"52304896\"]\n  3 -> 23 [size =\"52304896\"]\n  4 [size=\"141100373\", alpha=\"0.08\", expect_size=\"42330112\"] \n  4 -> 19 [size =\"42330112\"]\n  4 -> 21 [size =\"42330112\"]\n  4 -> 23 [size =\"42330112\"]\n  5 [size=\"120463360\", alpha=\"0.04\", expect_size=\"36139008\"] \n  5 -> 19 [size =\"36139008\"]\n  5 -> 21 [size =\"36139008\"]\n  5 -> 25 [size =\"36139008\"]\n  6 [size=\"23053653\", alpha=\"0.11\", expect_size=\"6916096\"] \n  6 -> 19 [size =\"6916096\"]\n  6 -> 20 [size =\"6916096\"]\n  6 -> 21 [size =\"6916096\"]\n  6 -> 23 [size =\"6916096\"]\n  6 -> 25 [size =\"6916096\"]\n  7 [size=\"172765867\", alpha=\"0.19\", expect_size=\"51829760\"] \n  7 -> 19 [size =\"51829760\"]\n  8 [size=\"109318827\", alpha=\"0.05\", expect_size=\"32795648\"] \n  8 -> 19 [size =\"32795648\"]\n  8 -> 24 [size =\"32795648\"]\n  8 -> 25 [size =\"32795648\"]\n  9 [size=\"124078080\", alpha=\"0.11\", expect_size=\"37223424\"] \n  9 -> 19 [size =\"37223424\"]\n  9 -> 23 [size =\"37223424\"]\n  10 [size=\"53189973\", alpha=\"0.07\", expect_size=\"15956992\"] \n  10 -> 19 [size =\"15956992\"]\n  10 -> 23 [size =\"15956992\"]\n  10 -> 24 [size =\"15956992\"]\n  10 -> 25 [size =\"15956992\"]\n  11 [size=\"28303360\", alpha=\"0.02\", expect_size=\"8491008\"] \n  11 -> 19 [size =\"8491008\"]\n  11 -> 21 [size =\"8491008\"]\n  11 -> 25 [size =\"8491008\"]\n  11 -> 25 [size =\"8491008\"]\n  12 [size=\"105144320\", alpha=\"0.12\", expect_size=\"31543296\"] \n  12 -> 20 [size =\"31543296\"]\n  12 -> 24 [size =\"31543296\"]\n  12 -> 25 [size =\"31543296\"]\n  13 [size=\"63856640\", alpha=\"0.14\", expect_size=\"19156992\"] \n  13 -> 20 [size =\"19156992\"]\n  13 -> 25 [size =\"19156992\"]\n  14 [size=\"45230080\", alpha=\"0.01\", expect_size=\"13569024\"] \n  14 -> 20 [size =\"13569024\"]\n  14 -> 23 [size =\"13569024\"]\n  14 -> 24 [size =\"13569024\"]\n  14 -> 25 [size =\"13569024\"]\n  15 [size=\"109834240\", alpha=\"0.11\", expect_size=\"32950272\"] \n  15 -> 21 [size =\"32950272\"]\n  15 -> 22 [size =\"32950272\"]\n  15 -> 23 [size =\"32950272\"]\n  15 -> 25 [size =\"32950272\"]\n  16 [size=\"144564907\", alpha=\"0.14\", expect_size=\"43369472\"] \n  16 -> 20 [size =\"43369472\"]\n  16 -> 21 [size =\"43369472\"]\n  16 -> 24 [size =\"43369472\"]\n  16 -> 25 [size =\"43369472\"]\n  17 [size=\"75496107\", alpha=\"0.07\", expect_size=\"22648832\"] \n  17 -> 20 [size =\"22648832\"]\n  17 -> 23 [size =\"22648832\"]\n  17 -> 24 [size =\"22648832\"]\n  17 -> 25 [size =\"22648832\"]\n  18 [size=\"67147093\", alpha=\"0.18\", expect_size=\"20144128\"] \n  18 -> 19 [size =\"20144128\"]\n  18 -> 24 [size =\"20144128\"]\n  18 -> 25 [size =\"20144128\"]\n  19 [size=\"110237013\", alpha=\"0.04\", expect_size=\"33071104\"] \n  20 [size=\"41693867\", alpha=\"0.14\", expect_size=\"12508160\"] \n  21 [size=\"93515093\", alpha=\"0.13\", expect_size=\"28054528\"] \n  22 [size=\"109390507\", alpha=\"0.20\", expect_size=\"32817152\"] \n  23 [size=\"50292053\", alpha=\"0.07\", expect_size=\"15087616\"] \n  24 [size=\"160300373\", alpha=\"0.10\", expect_size=\"48090112\"] \n  25 [size=\"165567147\", alpha=\"0.06\", expect_size=\"49670144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77441707\", alpha=\"0.11\", expect_size=\"23232512\"] \n  1 -> 2 [size =\"23232512\"]\n  2 [size=\"161573547\", alpha=\"0.03\", expect_size=\"48472064\"] \n  2 -> 3 [size =\"48472064\"]\n  3 [size=\"47158613\", alpha=\"0.19\", expect_size=\"14147584\"] \n  3 -> 4 [size =\"14147584\"]\n  4 [size=\"36635307\", alpha=\"0.15\", expect_size=\"10990592\"] \n  4 -> 5 [size =\"10990592\"]\n  5 [size=\"145326080\", alpha=\"0.19\", expect_size=\"43597824\"] \n  5 -> 6 [size =\"43597824\"]\n  6 [size=\"131682987\", alpha=\"0.06\", expect_size=\"39504896\"] \n  6 -> 7 [size =\"39504896\"]\n  7 [size=\"131741013\", alpha=\"0.02\", expect_size=\"39522304\"] \n  7 -> 8 [size =\"39522304\"]\n  8 [size=\"47844693\", alpha=\"0.01\", expect_size=\"14353408\"] \n  8 -> 9 [size =\"14353408\"]\n  9 [size=\"38048427\", alpha=\"0.06\", expect_size=\"11414528\"] \n  9 -> 10 [size =\"11414528\"]\n  10 [size=\"174127787\", alpha=\"0.07\", expect_size=\"52238336\"] \n  10 -> 11 [size =\"52238336\"]\n  11 [size=\"123832320\", alpha=\"0.17\", expect_size=\"37149696\"] \n  11 -> 12 [size =\"37149696\"]\n  12 [size=\"56255147\", alpha=\"0.13\", expect_size=\"16876544\"] \n  12 -> 13 [size =\"16876544\"]\n  13 [size=\"81981440\", alpha=\"0.01\", expect_size=\"24594432\"] \n  13 -> 14 [size =\"24594432\"]\n  14 [size=\"72881493\", alpha=\"0.08\", expect_size=\"21864448\"] \n  14 -> 15 [size =\"21864448\"]\n  15 [size=\"31501653\", alpha=\"0.03\", expect_size=\"9450496\"] \n  15 -> 16 [size =\"9450496\"]\n  16 [size=\"19875840\", alpha=\"0.10\", expect_size=\"5962752\"] \n  16 -> 17 [size =\"5962752\"]\n  17 [size=\"67648853\", alpha=\"0.04\", expect_size=\"20294656\"] \n  17 -> 18 [size =\"20294656\"]\n  18 [size=\"80960853\", alpha=\"0.16\", expect_size=\"24288256\"] \n  18 -> 19 [size =\"24288256\"]\n  19 [size=\"90538667\", alpha=\"0.11\", expect_size=\"27161600\"] \n  19 -> 20 [size =\"27161600\"]\n  20 [size=\"141141333\", alpha=\"0.08\", expect_size=\"42342400\"] \n  20 -> 21 [size =\"42342400\"]\n  21 [size=\"41396907\", alpha=\"0.13\", expect_size=\"12419072\"] \n  21 -> 22 [size =\"12419072\"]\n  22 [size=\"18752853\", alpha=\"0.15\", expect_size=\"5625856\"] \n  22 -> 23 [size =\"5625856\"]\n  23 [size=\"117992107\", alpha=\"0.02\", expect_size=\"35397632\"] \n  23 -> 24 [size =\"35397632\"]\n  24 [size=\"126109013\", alpha=\"0.11\", expect_size=\"37832704\"] \n  24 -> 25 [size =\"37832704\"]\n  25 [size=\"35587413\", alpha=\"0.16\", expect_size=\"10676224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38995968\", alpha=\"0.03\", expect_size=\"19497984\"] \n  1 -> 6 [size =\"19497984\"]\n  2 [size=\"29718528\", alpha=\"0.08\", expect_size=\"14859264\"] \n  2 -> 6 [size =\"14859264\"]\n  3 [size=\"35684352\", alpha=\"0.17\", expect_size=\"17842176\"] \n  3 -> 6 [size =\"17842176\"]\n  4 [size=\"11272192\", alpha=\"0.09\", expect_size=\"5636096\"] \n  4 -> 7 [size =\"5636096\"]\n  4 -> 8 [size =\"5636096\"]\n  5 [size=\"49166336\", alpha=\"0.10\", expect_size=\"24583168\"] \n  5 -> 7 [size =\"24583168\"]\n  6 [size=\"85194752\", alpha=\"0.17\", expect_size=\"42597376\"] \n  6 -> 10 [size =\"42597376\"]\n  7 [size=\"96946176\", alpha=\"0.12\", expect_size=\"48473088\"] \n  7 -> 11 [size =\"48473088\"]\n  8 [size=\"49225728\", alpha=\"0.12\", expect_size=\"24612864\"] \n  8 -> 9 [size =\"24612864\"]\n  9 [size=\"93927424\", alpha=\"0.14\", expect_size=\"46963712\"] \n  10 [size=\"77164544\", alpha=\"0.02\", expect_size=\"38582272\"] \n  10 -> 12 [size =\"38582272\"]\n  11 [size=\"25073664\", alpha=\"0.14\", expect_size=\"12536832\"] \n  11 -> 13 [size =\"12536832\"]\n  12 [size=\"39297024\", alpha=\"0.20\", expect_size=\"19648512\"] \n  12 -> 15 [size =\"19648512\"]\n  12 -> 17 [size =\"19648512\"]\n  13 [size=\"78641152\", alpha=\"0.17\", expect_size=\"39320576\"] \n  13 -> 14 [size =\"39320576\"]\n  13 -> 16 [size =\"39320576\"]\n  14 [size=\"62554112\", alpha=\"0.04\", expect_size=\"31277056\"] \n  14 -> 18 [size =\"31277056\"]\n  15 [size=\"11292672\", alpha=\"0.04\", expect_size=\"5646336\"] \n  15 -> 19 [size =\"5646336\"]\n  15 -> 20 [size =\"5646336\"]\n  16 [size=\"58609664\", alpha=\"0.17\", expect_size=\"29304832\"] \n  16 -> 20 [size =\"29304832\"]\n  16 -> 20 [size =\"29304832\"]\n  17 [size=\"44259328\", alpha=\"0.06\", expect_size=\"22129664\"] \n  18 [size=\"101900288\", alpha=\"0.04\", expect_size=\"50950144\"] \n  18 -> 21 [size =\"50950144\"]\n  19 [size=\"64325632\", alpha=\"0.10\", expect_size=\"32162816\"] \n  19 -> 22 [size =\"32162816\"]\n  20 [size=\"33855488\", alpha=\"0.00\", expect_size=\"16927744\"] \n  20 -> 21 [size =\"16927744\"]\n  20 -> 22 [size =\"16927744\"]\n  20 -> 23 [size =\"16927744\"]\n  21 [size=\"42588160\", alpha=\"0.17\", expect_size=\"21294080\"] \n  22 [size=\"12187648\", alpha=\"0.18\", expect_size=\"6093824\"] \n  22 -> 24 [size =\"6093824\"]\n  22 -> 25 [size =\"6093824\"]\n  23 [size=\"10678272\", alpha=\"0.04\", expect_size=\"5339136\"] \n  23 -> 25 [size =\"5339136\"]\n  24 [size=\"93114368\", alpha=\"0.10\", expect_size=\"46557184\"] \n  25 [size=\"17809408\", alpha=\"0.04\", expect_size=\"8904704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96479232\", alpha=\"0.03\", expect_size=\"48239616\"] \n  1 -> 5 [size =\"48239616\"]\n  1 -> 6 [size =\"48239616\"]\n  2 [size=\"60076032\", alpha=\"0.10\", expect_size=\"30038016\"] \n  2 -> 5 [size =\"30038016\"]\n  3 [size=\"33873920\", alpha=\"0.04\", expect_size=\"16936960\"] \n  3 -> 6 [size =\"16936960\"]\n  4 [size=\"13709312\", alpha=\"0.06\", expect_size=\"6854656\"] \n  4 -> 7 [size =\"6854656\"]\n  5 [size=\"62535680\", alpha=\"0.18\", expect_size=\"31267840\"] \n  5 -> 8 [size =\"31267840\"]\n  5 -> 9 [size =\"31267840\"]\n  6 [size=\"60545024\", alpha=\"0.16\", expect_size=\"30272512\"] \n  6 -> 8 [size =\"30272512\"]\n  6 -> 10 [size =\"30272512\"]\n  7 [size=\"41799680\", alpha=\"0.06\", expect_size=\"20899840\"] \n  8 [size=\"13670400\", alpha=\"0.20\", expect_size=\"6835200\"] \n  8 -> 11 [size =\"6835200\"]\n  8 -> 12 [size =\"6835200\"]\n  9 [size=\"41906176\", alpha=\"0.04\", expect_size=\"20953088\"] \n  9 -> 11 [size =\"20953088\"]\n  10 [size=\"12621824\", alpha=\"0.07\", expect_size=\"6310912\"] \n  11 [size=\"63315968\", alpha=\"0.02\", expect_size=\"31657984\"] \n  11 -> 13 [size =\"31657984\"]\n  12 [size=\"79222784\", alpha=\"0.14\", expect_size=\"39611392\"] \n  12 -> 14 [size =\"39611392\"]\n  12 -> 15 [size =\"39611392\"]\n  12 -> 16 [size =\"39611392\"]\n  13 [size=\"33843200\", alpha=\"0.00\", expect_size=\"16921600\"] \n  13 -> 18 [size =\"16921600\"]\n  14 [size=\"51881984\", alpha=\"0.04\", expect_size=\"25940992\"] \n  14 -> 18 [size =\"25940992\"]\n  14 -> 19 [size =\"25940992\"]\n  15 [size=\"78163968\", alpha=\"0.16\", expect_size=\"39081984\"] \n  15 -> 17 [size =\"39081984\"]\n  15 -> 20 [size =\"39081984\"]\n  16 [size=\"69156864\", alpha=\"0.18\", expect_size=\"34578432\"] \n  17 [size=\"50608128\", alpha=\"0.05\", expect_size=\"25304064\"] \n  18 [size=\"78163968\", alpha=\"0.18\", expect_size=\"39081984\"] \n  18 -> 21 [size =\"39081984\"]\n  18 -> 22 [size =\"39081984\"]\n  19 [size=\"78043136\", alpha=\"0.00\", expect_size=\"39021568\"] \n  19 -> 21 [size =\"39021568\"]\n  20 [size=\"98136064\", alpha=\"0.16\", expect_size=\"49068032\"] \n  21 [size=\"36673536\", alpha=\"0.10\", expect_size=\"18336768\"] \n  21 -> 24 [size =\"18336768\"]\n  21 -> 25 [size =\"18336768\"]\n  22 [size=\"46237696\", alpha=\"0.15\", expect_size=\"23118848\"] \n  22 -> 23 [size =\"23118848\"]\n  23 [size=\"18642944\", alpha=\"0.04\", expect_size=\"9321472\"] \n  24 [size=\"19904512\", alpha=\"0.15\", expect_size=\"9952256\"] \n  25 [size=\"41109504\", alpha=\"0.16\", expect_size=\"20554752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98501120\", alpha=\"0.11\", expect_size=\"39400448\"] \n  1 -> 3 [size =\"39400448\"]\n  2 [size=\"24486400\", alpha=\"0.04\", expect_size=\"9794560\"] \n  2 -> 4 [size =\"9794560\"]\n  3 [size=\"94487040\", alpha=\"0.05\", expect_size=\"37794816\"] \n  3 -> 5 [size =\"37794816\"]\n  4 [size=\"78801920\", alpha=\"0.05\", expect_size=\"31520768\"] \n  4 -> 6 [size =\"31520768\"]\n  5 [size=\"100654080\", alpha=\"0.03\", expect_size=\"40261632\"] \n  5 -> 7 [size =\"40261632\"]\n  6 [size=\"55347200\", alpha=\"0.16\", expect_size=\"22138880\"] \n  6 -> 8 [size =\"22138880\"]\n  7 [size=\"125399040\", alpha=\"0.17\", expect_size=\"50159616\"] \n  8 [size=\"80455680\", alpha=\"0.19\", expect_size=\"32182272\"] \n  8 -> 9 [size =\"32182272\"]\n  9 [size=\"82987520\", alpha=\"0.13\", expect_size=\"33195008\"] \n  9 -> 10 [size =\"33195008\"]\n  9 -> 11 [size =\"33195008\"]\n  10 [size=\"65105920\", alpha=\"0.06\", expect_size=\"26042368\"] \n  11 [size=\"33264640\", alpha=\"0.17\", expect_size=\"13305856\"] \n  11 -> 12 [size =\"13305856\"]\n  11 -> 13 [size =\"13305856\"]\n  12 [size=\"99512320\", alpha=\"0.19\", expect_size=\"39804928\"] \n  13 [size=\"122516480\", alpha=\"0.15\", expect_size=\"49006592\"] \n  13 -> 14 [size =\"49006592\"]\n  14 [size=\"36551680\", alpha=\"0.10\", expect_size=\"14620672\"] \n  14 -> 15 [size =\"14620672\"]\n  15 [size=\"66009600\", alpha=\"0.10\", expect_size=\"26403840\"] \n  15 -> 16 [size =\"26403840\"]\n  16 [size=\"84833280\", alpha=\"0.08\", expect_size=\"33933312\"] \n  16 -> 17 [size =\"33933312\"]\n  16 -> 18 [size =\"33933312\"]\n  17 [size=\"59427840\", alpha=\"0.03\", expect_size=\"23771136\"] \n  18 [size=\"40798720\", alpha=\"0.15\", expect_size=\"16319488\"] \n  18 -> 19 [size =\"16319488\"]\n  18 -> 20 [size =\"16319488\"]\n  19 [size=\"37130240\", alpha=\"0.15\", expect_size=\"14852096\"] \n  19 -> 21 [size =\"14852096\"]\n  20 [size=\"114508800\", alpha=\"0.04\", expect_size=\"45803520\"] \n  21 [size=\"29347840\", alpha=\"0.07\", expect_size=\"11739136\"] \n  21 -> 22 [size =\"11739136\"]\n  21 -> 23 [size =\"11739136\"]\n  22 [size=\"127472640\", alpha=\"0.13\", expect_size=\"50989056\"] \n  23 [size=\"119600640\", alpha=\"0.12\", expect_size=\"47840256\"] \n  23 -> 24 [size =\"47840256\"]\n  23 -> 25 [size =\"47840256\"]\n  24 [size=\"89231360\", alpha=\"0.02\", expect_size=\"35692544\"] \n  25 [size=\"30666240\", alpha=\"0.07\", expect_size=\"12266496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36029440\", alpha=\"0.08\", expect_size=\"14411776\"] \n  1 -> 22 [size =\"14411776\"]\n  2 [size=\"19576320\", alpha=\"0.04\", expect_size=\"7830528\"] \n  2 -> 24 [size =\"7830528\"]\n  3 [size=\"27901440\", alpha=\"0.14\", expect_size=\"11160576\"] \n  3 -> 22 [size =\"11160576\"]\n  3 -> 23 [size =\"11160576\"]\n  4 [size=\"91404800\", alpha=\"0.14\", expect_size=\"36561920\"] \n  4 -> 22 [size =\"36561920\"]\n  5 [size=\"96043520\", alpha=\"0.08\", expect_size=\"38417408\"] \n  5 -> 21 [size =\"38417408\"]\n  5 -> 22 [size =\"38417408\"]\n  5 -> 25 [size =\"38417408\"]\n  6 [size=\"22282240\", alpha=\"0.18\", expect_size=\"8912896\"] \n  6 -> 21 [size =\"8912896\"]\n  6 -> 23 [size =\"8912896\"]\n  6 -> 24 [size =\"8912896\"]\n  7 [size=\"51427840\", alpha=\"0.14\", expect_size=\"20571136\"] \n  7 -> 21 [size =\"20571136\"]\n  7 -> 23 [size =\"20571136\"]\n  8 [size=\"130547200\", alpha=\"0.04\", expect_size=\"52218880\"] \n  8 -> 24 [size =\"52218880\"]\n  9 [size=\"30522880\", alpha=\"0.03\", expect_size=\"12209152\"] \n  10 [size=\"43924480\", alpha=\"0.15\", expect_size=\"17569792\"] \n  10 -> 21 [size =\"17569792\"]\n  10 -> 24 [size =\"17569792\"]\n  11 [size=\"37550080\", alpha=\"0.05\", expect_size=\"15020032\"] \n  11 -> 21 [size =\"15020032\"]\n  11 -> 24 [size =\"15020032\"]\n  11 -> 25 [size =\"15020032\"]\n  12 [size=\"87001600\", alpha=\"0.07\", expect_size=\"34800640\"] \n  12 -> 21 [size =\"34800640\"]\n  12 -> 24 [size =\"34800640\"]\n  12 -> 25 [size =\"34800640\"]\n  13 [size=\"111708160\", alpha=\"0.18\", expect_size=\"44683264\"] \n  13 -> 21 [size =\"44683264\"]\n  14 [size=\"75980800\", alpha=\"0.12\", expect_size=\"30392320\"] \n  14 -> 21 [size =\"30392320\"]\n  14 -> 25 [size =\"30392320\"]\n  15 [size=\"42385920\", alpha=\"0.15\", expect_size=\"16954368\"] \n  15 -> 24 [size =\"16954368\"]\n  16 [size=\"90109440\", alpha=\"0.04\", expect_size=\"36043776\"] \n  16 -> 21 [size =\"36043776\"]\n  16 -> 22 [size =\"36043776\"]\n  16 -> 24 [size =\"36043776\"]\n  16 -> 25 [size =\"36043776\"]\n  17 [size=\"79552000\", alpha=\"0.00\", expect_size=\"31820800\"] \n  17 -> 22 [size =\"31820800\"]\n  17 -> 23 [size =\"31820800\"]\n  18 [size=\"43886080\", alpha=\"0.10\", expect_size=\"17554432\"] \n  18 -> 22 [size =\"17554432\"]\n  18 -> 24 [size =\"17554432\"]\n  18 -> 25 [size =\"17554432\"]\n  19 [size=\"67392000\", alpha=\"0.02\", expect_size=\"26956800\"] \n  19 -> 21 [size =\"26956800\"]\n  19 -> 23 [size =\"26956800\"]\n  20 [size=\"83522560\", alpha=\"0.04\", expect_size=\"33409024\"] \n  20 -> 21 [size =\"33409024\"]\n  20 -> 23 [size =\"33409024\"]\n  21 [size=\"56652800\", alpha=\"0.09\", expect_size=\"22661120\"] \n  22 [size=\"87464960\", alpha=\"0.15\", expect_size=\"34985984\"] \n  23 [size=\"126909440\", alpha=\"0.04\", expect_size=\"50763776\"] \n  24 [size=\"117209600\", alpha=\"0.06\", expect_size=\"46883840\"] \n  25 [size=\"72360960\", alpha=\"0.02\", expect_size=\"28944384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140069547\", alpha=\"0.17\", expect_size=\"42020864\"] \n  1 -> 2 [size =\"42020864\"]\n  1 -> 3 [size =\"42020864\"]\n  2 [size=\"56494080\", alpha=\"0.08\", expect_size=\"16948224\"] \n  2 -> 4 [size =\"16948224\"]\n  3 [size=\"36334933\", alpha=\"0.10\", expect_size=\"10900480\"] \n  4 [size=\"124081493\", alpha=\"0.11\", expect_size=\"37224448\"] \n  4 -> 5 [size =\"37224448\"]\n  5 [size=\"150493867\", alpha=\"0.17\", expect_size=\"45148160\"] \n  5 -> 6 [size =\"45148160\"]\n  6 [size=\"49377280\", alpha=\"0.03\", expect_size=\"14813184\"] \n  6 -> 7 [size =\"14813184\"]\n  6 -> 8 [size =\"14813184\"]\n  7 [size=\"70632107\", alpha=\"0.13\", expect_size=\"21189632\"] \n  7 -> 10 [size =\"21189632\"]\n  8 [size=\"39567360\", alpha=\"0.18\", expect_size=\"11870208\"] \n  8 -> 9 [size =\"11870208\"]\n  8 -> 10 [size =\"11870208\"]\n  9 [size=\"80715093\", alpha=\"0.18\", expect_size=\"24214528\"] \n  10 [size=\"161809067\", alpha=\"0.12\", expect_size=\"48542720\"] \n  10 -> 11 [size =\"48542720\"]\n  10 -> 12 [size =\"48542720\"]\n  11 [size=\"93498027\", alpha=\"0.04\", expect_size=\"28049408\"] \n  11 -> 13 [size =\"28049408\"]\n  12 [size=\"73646080\", alpha=\"0.14\", expect_size=\"22093824\"] \n  12 -> 13 [size =\"22093824\"]\n  13 [size=\"138550613\", alpha=\"0.09\", expect_size=\"41565184\"] \n  13 -> 14 [size =\"41565184\"]\n  14 [size=\"57200640\", alpha=\"0.11\", expect_size=\"17160192\"] \n  14 -> 15 [size =\"17160192\"]\n  14 -> 16 [size =\"17160192\"]\n  15 [size=\"141120853\", alpha=\"0.10\", expect_size=\"42336256\"] \n  15 -> 17 [size =\"42336256\"]\n  16 [size=\"114961067\", alpha=\"0.03\", expect_size=\"34488320\"] \n  16 -> 18 [size =\"34488320\"]\n  17 [size=\"137052160\", alpha=\"0.03\", expect_size=\"41115648\"] \n  17 -> 19 [size =\"41115648\"]\n  17 -> 20 [size =\"41115648\"]\n  18 [size=\"81288533\", alpha=\"0.19\", expect_size=\"24386560\"] \n  18 -> 19 [size =\"24386560\"]\n  18 -> 20 [size =\"24386560\"]\n  19 [size=\"64290133\", alpha=\"0.10\", expect_size=\"19287040\"] \n  19 -> 21 [size =\"19287040\"]\n  20 [size=\"47206400\", alpha=\"0.17\", expect_size=\"14161920\"] \n  20 -> 21 [size =\"14161920\"]\n  20 -> 22 [size =\"14161920\"]\n  21 [size=\"140267520\", alpha=\"0.19\", expect_size=\"42080256\"] \n  21 -> 23 [size =\"42080256\"]\n  22 [size=\"174004907\", alpha=\"0.07\", expect_size=\"52201472\"] \n  22 -> 23 [size =\"52201472\"]\n  22 -> 24 [size =\"52201472\"]\n  23 [size=\"127358293\", alpha=\"0.17\", expect_size=\"38207488\"] \n  23 -> 25 [size =\"38207488\"]\n  24 [size=\"43031893\", alpha=\"0.00\", expect_size=\"12909568\"] \n  25 [size=\"130727253\", alpha=\"0.01\", expect_size=\"39218176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64488960\", alpha=\"0.07\", expect_size=\"25795584\"] \n  1 -> 4 [size =\"25795584\"]\n  2 [size=\"110289920\", alpha=\"0.14\", expect_size=\"44115968\"] \n  2 -> 3 [size =\"44115968\"]\n  2 -> 5 [size =\"44115968\"]\n  3 [size=\"71129600\", alpha=\"0.03\", expect_size=\"28451840\"] \n  3 -> 6 [size =\"28451840\"]\n  3 -> 7 [size =\"28451840\"]\n  4 [size=\"103790080\", alpha=\"0.13\", expect_size=\"41516032\"] \n  4 -> 8 [size =\"41516032\"]\n  5 [size=\"75809280\", alpha=\"0.10\", expect_size=\"30323712\"] \n  5 -> 8 [size =\"30323712\"]\n  5 -> 9 [size =\"30323712\"]\n  6 [size=\"125729280\", alpha=\"0.01\", expect_size=\"50291712\"] \n  6 -> 13 [size =\"50291712\"]\n  7 [size=\"65011200\", alpha=\"0.11\", expect_size=\"26004480\"] \n  7 -> 10 [size =\"26004480\"]\n  7 -> 12 [size =\"26004480\"]\n  8 [size=\"23070720\", alpha=\"0.13\", expect_size=\"9228288\"] \n  8 -> 11 [size =\"9228288\"]\n  8 -> 13 [size =\"9228288\"]\n  9 [size=\"13150720\", alpha=\"0.17\", expect_size=\"5260288\"] \n  10 [size=\"66380800\", alpha=\"0.05\", expect_size=\"26552320\"] \n  10 -> 14 [size =\"26552320\"]\n  10 -> 16 [size =\"26552320\"]\n  11 [size=\"109196800\", alpha=\"0.20\", expect_size=\"43678720\"] \n  11 -> 16 [size =\"43678720\"]\n  12 [size=\"30131200\", alpha=\"0.18\", expect_size=\"12052480\"] \n  12 -> 15 [size =\"12052480\"]\n  13 [size=\"111677440\", alpha=\"0.11\", expect_size=\"44670976\"] \n  13 -> 15 [size =\"44670976\"]\n  14 [size=\"130613760\", alpha=\"0.03\", expect_size=\"52245504\"] \n  14 -> 18 [size =\"52245504\"]\n  15 [size=\"88675840\", alpha=\"0.14\", expect_size=\"35470336\"] \n  15 -> 17 [size =\"35470336\"]\n  15 -> 19 [size =\"35470336\"]\n  16 [size=\"31521280\", alpha=\"0.17\", expect_size=\"12608512\"] \n  16 -> 18 [size =\"12608512\"]\n  16 -> 19 [size =\"12608512\"]\n  17 [size=\"34854400\", alpha=\"0.18\", expect_size=\"13941760\"] \n  17 -> 21 [size =\"13941760\"]\n  18 [size=\"101529600\", alpha=\"0.20\", expect_size=\"40611840\"] \n  19 [size=\"62804480\", alpha=\"0.18\", expect_size=\"25121792\"] \n  19 -> 20 [size =\"25121792\"]\n  19 -> 21 [size =\"25121792\"]\n  20 [size=\"43537920\", alpha=\"0.17\", expect_size=\"17415168\"] \n  20 -> 23 [size =\"17415168\"]\n  20 -> 24 [size =\"17415168\"]\n  21 [size=\"71544320\", alpha=\"0.04\", expect_size=\"28617728\"] \n  21 -> 22 [size =\"28617728\"]\n  22 [size=\"69849600\", alpha=\"0.08\", expect_size=\"27939840\"] \n  23 [size=\"60820480\", alpha=\"0.01\", expect_size=\"24328192\"] \n  23 -> 25 [size =\"24328192\"]\n  24 [size=\"128391680\", alpha=\"0.10\", expect_size=\"51356672\"] \n  25 [size=\"28421120\", alpha=\"0.10\", expect_size=\"11368448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121100800\", alpha=\"0.08\", expect_size=\"48440320\"] \n  1 -> 14 [size =\"48440320\"]\n  1 -> 19 [size =\"48440320\"]\n  2 [size=\"42183680\", alpha=\"0.09\", expect_size=\"16873472\"] \n  2 -> 20 [size =\"16873472\"]\n  3 [size=\"83911680\", alpha=\"0.03\", expect_size=\"33564672\"] \n  3 -> 12 [size =\"33564672\"]\n  3 -> 14 [size =\"33564672\"]\n  3 -> 21 [size =\"33564672\"]\n  3 -> 23 [size =\"33564672\"]\n  4 [size=\"27348480\", alpha=\"0.03\", expect_size=\"10939392\"] \n  4 -> 17 [size =\"10939392\"]\n  4 -> 18 [size =\"10939392\"]\n  5 [size=\"60784640\", alpha=\"0.04\", expect_size=\"24313856\"] \n  5 -> 12 [size =\"24313856\"]\n  5 -> 13 [size =\"24313856\"]\n  5 -> 15 [size =\"24313856\"]\n  5 -> 17 [size =\"24313856\"]\n  5 -> 18 [size =\"24313856\"]\n  5 -> 23 [size =\"24313856\"]\n  6 [size=\"30423040\", alpha=\"0.16\", expect_size=\"12169216\"] \n  6 -> 12 [size =\"12169216\"]\n  6 -> 17 [size =\"12169216\"]\n  6 -> 20 [size =\"12169216\"]\n  6 -> 21 [size =\"12169216\"]\n  6 -> 22 [size =\"12169216\"]\n  7 [size=\"87406080\", alpha=\"0.15\", expect_size=\"34962432\"] \n  7 -> 12 [size =\"34962432\"]\n  7 -> 17 [size =\"34962432\"]\n  7 -> 18 [size =\"34962432\"]\n  7 -> 21 [size =\"34962432\"]\n  7 -> 22 [size =\"34962432\"]\n  8 [size=\"119462400\", alpha=\"0.09\", expect_size=\"47784960\"] \n  8 -> 16 [size =\"47784960\"]\n  8 -> 17 [size =\"47784960\"]\n  8 -> 21 [size =\"47784960\"]\n  8 -> 23 [size =\"47784960\"]\n  9 [size=\"109368320\", alpha=\"0.13\", expect_size=\"43747328\"] \n  9 -> 12 [size =\"43747328\"]\n  9 -> 15 [size =\"43747328\"]\n  9 -> 23 [size =\"43747328\"]\n  9 -> 23 [size =\"43747328\"]\n  10 [size=\"48294400\", alpha=\"0.12\", expect_size=\"19317760\"] \n  10 -> 15 [size =\"19317760\"]\n  10 -> 16 [size =\"19317760\"]\n  10 -> 21 [size =\"19317760\"]\n  11 [size=\"109312000\", alpha=\"0.03\", expect_size=\"43724800\"] \n  11 -> 13 [size =\"43724800\"]\n  11 -> 16 [size =\"43724800\"]\n  12 [size=\"37135360\", alpha=\"0.12\", expect_size=\"14854144\"] \n  12 -> 25 [size =\"14854144\"]\n  13 [size=\"92375040\", alpha=\"0.18\", expect_size=\"36950016\"] \n  13 -> 24 [size =\"36950016\"]\n  13 -> 25 [size =\"36950016\"]\n  14 [size=\"109696000\", alpha=\"0.08\", expect_size=\"43878400\"] \n  14 -> 24 [size =\"43878400\"]\n  15 [size=\"129336320\", alpha=\"0.08\", expect_size=\"51734528\"] \n  16 [size=\"32558080\", alpha=\"0.06\", expect_size=\"13023232\"] \n  16 -> 24 [size =\"13023232\"]\n  16 -> 25 [size =\"13023232\"]\n  17 [size=\"124339200\", alpha=\"0.15\", expect_size=\"49735680\"] \n  17 -> 24 [size =\"49735680\"]\n  17 -> 25 [size =\"49735680\"]\n  18 [size=\"94202880\", alpha=\"0.17\", expect_size=\"37681152\"] \n  18 -> 25 [size =\"37681152\"]\n  19 [size=\"27225600\", alpha=\"0.01\", expect_size=\"10890240\"] \n  19 -> 24 [size =\"10890240\"]\n  20 [size=\"106803200\", alpha=\"0.01\", expect_size=\"42721280\"] \n  20 -> 24 [size =\"42721280\"]\n  21 [size=\"60096000\", alpha=\"0.20\", expect_size=\"24038400\"] \n  21 -> 25 [size =\"24038400\"]\n  22 [size=\"75819520\", alpha=\"0.03\", expect_size=\"30327808\"] \n  22 -> 24 [size =\"30327808\"]\n  22 -> 25 [size =\"30327808\"]\n  23 [size=\"30960640\", alpha=\"0.18\", expect_size=\"12384256\"] \n  24 [size=\"17016320\", alpha=\"0.16\", expect_size=\"6806528\"] \n  25 [size=\"66232320\", alpha=\"0.02\", expect_size=\"26492928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36986880\", alpha=\"0.08\", expect_size=\"11096064\"] \n  1 -> 19 [size =\"11096064\"]\n  1 -> 22 [size =\"11096064\"]\n  2 [size=\"69635413\", alpha=\"0.12\", expect_size=\"20890624\"] \n  2 -> 23 [size =\"20890624\"]\n  2 -> 24 [size =\"20890624\"]\n  2 -> 25 [size =\"20890624\"]\n  3 [size=\"30296747\", alpha=\"0.06\", expect_size=\"9089024\"] \n  3 -> 23 [size =\"9089024\"]\n  3 -> 24 [size =\"9089024\"]\n  4 [size=\"170577920\", alpha=\"0.03\", expect_size=\"51173376\"] \n  4 -> 21 [size =\"51173376\"]\n  4 -> 22 [size =\"51173376\"]\n  5 [size=\"120203947\", alpha=\"0.18\", expect_size=\"36061184\"] \n  5 -> 20 [size =\"36061184\"]\n  5 -> 22 [size =\"36061184\"]\n  5 -> 25 [size =\"36061184\"]\n  6 [size=\"50885973\", alpha=\"0.05\", expect_size=\"15265792\"] \n  6 -> 22 [size =\"15265792\"]\n  7 [size=\"84804267\", alpha=\"0.07\", expect_size=\"25441280\"] \n  7 -> 21 [size =\"25441280\"]\n  7 -> 22 [size =\"25441280\"]\n  8 [size=\"173718187\", alpha=\"0.11\", expect_size=\"52115456\"] \n  8 -> 21 [size =\"52115456\"]\n  8 -> 23 [size =\"52115456\"]\n  8 -> 25 [size =\"52115456\"]\n  9 [size=\"74089813\", alpha=\"0.08\", expect_size=\"22226944\"] \n  9 -> 21 [size =\"22226944\"]\n  9 -> 22 [size =\"22226944\"]\n  9 -> 23 [size =\"22226944\"]\n  10 [size=\"66618027\", alpha=\"0.18\", expect_size=\"19985408\"] \n  10 -> 22 [size =\"19985408\"]\n  11 [size=\"107195733\", alpha=\"0.20\", expect_size=\"32158720\"] \n  11 -> 21 [size =\"32158720\"]\n  11 -> 22 [size =\"32158720\"]\n  11 -> 23 [size =\"32158720\"]\n  12 [size=\"170151253\", alpha=\"0.19\", expect_size=\"51045376\"] \n  12 -> 19 [size =\"51045376\"]\n  12 -> 22 [size =\"51045376\"]\n  12 -> 23 [size =\"51045376\"]\n  12 -> 24 [size =\"51045376\"]\n  12 -> 25 [size =\"51045376\"]\n  13 [size=\"104106667\", alpha=\"0.05\", expect_size=\"31232000\"] \n  13 -> 19 [size =\"31232000\"]\n  13 -> 22 [size =\"31232000\"]\n  13 -> 23 [size =\"31232000\"]\n  13 -> 24 [size =\"31232000\"]\n  13 -> 25 [size =\"31232000\"]\n  14 [size=\"148988587\", alpha=\"0.13\", expect_size=\"44696576\"] \n  14 -> 19 [size =\"44696576\"]\n  14 -> 21 [size =\"44696576\"]\n  14 -> 23 [size =\"44696576\"]\n  14 -> 25 [size =\"44696576\"]\n  15 [size=\"171683840\", alpha=\"0.10\", expect_size=\"51505152\"] \n  15 -> 19 [size =\"51505152\"]\n  15 -> 20 [size =\"51505152\"]\n  15 -> 22 [size =\"51505152\"]\n  15 -> 25 [size =\"51505152\"]\n  16 [size=\"152060587\", alpha=\"0.00\", expect_size=\"45618176\"] \n  16 -> 20 [size =\"45618176\"]\n  16 -> 22 [size =\"45618176\"]\n  16 -> 23 [size =\"45618176\"]\n  17 [size=\"30419627\", alpha=\"0.05\", expect_size=\"9125888\"] \n  17 -> 21 [size =\"9125888\"]\n  17 -> 22 [size =\"9125888\"]\n  17 -> 23 [size =\"9125888\"]\n  18 [size=\"84821333\", alpha=\"0.03\", expect_size=\"25446400\"] \n  18 -> 22 [size =\"25446400\"]\n  18 -> 22 [size =\"25446400\"]\n  19 [size=\"173608960\", alpha=\"0.07\", expect_size=\"52082688\"] \n  20 [size=\"81411413\", alpha=\"0.08\", expect_size=\"24423424\"] \n  21 [size=\"69369173\", alpha=\"0.11\", expect_size=\"20810752\"] \n  22 [size=\"66495147\", alpha=\"0.01\", expect_size=\"19948544\"] \n  23 [size=\"59146240\", alpha=\"0.12\", expect_size=\"17743872\"] \n  24 [size=\"94733653\", alpha=\"0.03\", expect_size=\"28420096\"] \n  25 [size=\"40243200\", alpha=\"0.08\", expect_size=\"12072960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144138240\", alpha=\"0.15\", expect_size=\"43241472\"] \n  1 -> 3 [size =\"43241472\"]\n  1 -> 4 [size =\"43241472\"]\n  2 [size=\"135273813\", alpha=\"0.05\", expect_size=\"40582144\"] \n  2 -> 3 [size =\"40582144\"]\n  2 -> 4 [size =\"40582144\"]\n  3 [size=\"55173120\", alpha=\"0.09\", expect_size=\"16551936\"] \n  3 -> 5 [size =\"16551936\"]\n  4 [size=\"104246613\", alpha=\"0.07\", expect_size=\"31273984\"] \n  4 -> 5 [size =\"31273984\"]\n  4 -> 6 [size =\"31273984\"]\n  5 [size=\"57275733\", alpha=\"0.17\", expect_size=\"17182720\"] \n  5 -> 7 [size =\"17182720\"]\n  5 -> 8 [size =\"17182720\"]\n  6 [size=\"100027733\", alpha=\"0.02\", expect_size=\"30008320\"] \n  6 -> 7 [size =\"30008320\"]\n  6 -> 8 [size =\"30008320\"]\n  7 [size=\"111984640\", alpha=\"0.06\", expect_size=\"33595392\"] \n  7 -> 10 [size =\"33595392\"]\n  7 -> 11 [size =\"33595392\"]\n  8 [size=\"147626667\", alpha=\"0.10\", expect_size=\"44288000\"] \n  8 -> 9 [size =\"44288000\"]\n  8 -> 10 [size =\"44288000\"]\n  9 [size=\"21616640\", alpha=\"0.06\", expect_size=\"6484992\"] \n  9 -> 12 [size =\"6484992\"]\n  9 -> 16 [size =\"6484992\"]\n  10 [size=\"52131840\", alpha=\"0.10\", expect_size=\"15639552\"] \n  10 -> 12 [size =\"15639552\"]\n  10 -> 14 [size =\"15639552\"]\n  10 -> 15 [size =\"15639552\"]\n  11 [size=\"43158187\", alpha=\"0.15\", expect_size=\"12947456\"] \n  11 -> 12 [size =\"12947456\"]\n  11 -> 13 [size =\"12947456\"]\n  11 -> 14 [size =\"12947456\"]\n  12 [size=\"158091947\", alpha=\"0.08\", expect_size=\"47427584\"] \n  12 -> 17 [size =\"47427584\"]\n  13 [size=\"39867733\", alpha=\"0.13\", expect_size=\"11960320\"] \n  13 -> 18 [size =\"11960320\"]\n  14 [size=\"106946560\", alpha=\"0.05\", expect_size=\"32083968\"] \n  15 [size=\"162778453\", alpha=\"0.09\", expect_size=\"48833536\"] \n  16 [size=\"136007680\", alpha=\"0.15\", expect_size=\"40802304\"] \n  17 [size=\"153272320\", alpha=\"0.14\", expect_size=\"45981696\"] \n  17 -> 19 [size =\"45981696\"]\n  18 [size=\"39458133\", alpha=\"0.15\", expect_size=\"11837440\"] \n  18 -> 19 [size =\"11837440\"]\n  18 -> 20 [size =\"11837440\"]\n  19 [size=\"119176533\", alpha=\"0.01\", expect_size=\"35752960\"] \n  19 -> 22 [size =\"35752960\"]\n  20 [size=\"163444053\", alpha=\"0.10\", expect_size=\"49033216\"] \n  20 -> 21 [size =\"49033216\"]\n  20 -> 22 [size =\"49033216\"]\n  21 [size=\"80954027\", alpha=\"0.16\", expect_size=\"24286208\"] \n  21 -> 23 [size =\"24286208\"]\n  21 -> 24 [size =\"24286208\"]\n  21 -> 25 [size =\"24286208\"]\n  22 [size=\"45520213\", alpha=\"0.16\", expect_size=\"13656064\"] \n  22 -> 23 [size =\"13656064\"]\n  22 -> 24 [size =\"13656064\"]\n  22 -> 25 [size =\"13656064\"]\n  23 [size=\"110551040\", alpha=\"0.01\", expect_size=\"33165312\"] \n  24 [size=\"56630613\", alpha=\"0.18\", expect_size=\"16989184\"] \n  25 [size=\"93327360\", alpha=\"0.19\", expect_size=\"27998208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88207360\", alpha=\"0.15\", expect_size=\"44103680\"] \n  1 -> 4 [size =\"44103680\"]\n  1 -> 7 [size =\"44103680\"]\n  2 [size=\"47814656\", alpha=\"0.13\", expect_size=\"23907328\"] \n  2 -> 6 [size =\"23907328\"]\n  3 [size=\"58437632\", alpha=\"0.19\", expect_size=\"29218816\"] \n  3 -> 5 [size =\"29218816\"]\n  3 -> 7 [size =\"29218816\"]\n  4 [size=\"64876544\", alpha=\"0.11\", expect_size=\"32438272\"] \n  5 [size=\"93059072\", alpha=\"0.14\", expect_size=\"46529536\"] \n  6 [size=\"89812992\", alpha=\"0.20\", expect_size=\"44906496\"] \n  6 -> 10 [size =\"44906496\"]\n  6 -> 11 [size =\"44906496\"]\n  7 [size=\"78209024\", alpha=\"0.14\", expect_size=\"39104512\"] \n  7 -> 8 [size =\"39104512\"]\n  7 -> 9 [size =\"39104512\"]\n  8 [size=\"32251904\", alpha=\"0.14\", expect_size=\"16125952\"] \n  8 -> 13 [size =\"16125952\"]\n  9 [size=\"77307904\", alpha=\"0.04\", expect_size=\"38653952\"] \n  9 -> 12 [size =\"38653952\"]\n  10 [size=\"21254144\", alpha=\"0.12\", expect_size=\"10627072\"] \n  10 -> 13 [size =\"10627072\"]\n  10 -> 14 [size =\"10627072\"]\n  11 [size=\"90951680\", alpha=\"0.04\", expect_size=\"45475840\"] \n  11 -> 13 [size =\"45475840\"]\n  12 [size=\"66058240\", alpha=\"0.16\", expect_size=\"33029120\"] \n  12 -> 15 [size =\"33029120\"]\n  12 -> 16 [size =\"33029120\"]\n  12 -> 17 [size =\"33029120\"]\n  13 [size=\"30832640\", alpha=\"0.09\", expect_size=\"15416320\"] \n  13 -> 18 [size =\"15416320\"]\n  13 -> 19 [size =\"15416320\"]\n  14 [size=\"24678400\", alpha=\"0.20\", expect_size=\"12339200\"] \n  14 -> 17 [size =\"12339200\"]\n  15 [size=\"74579968\", alpha=\"0.02\", expect_size=\"37289984\"] \n  15 -> 20 [size =\"37289984\"]\n  16 [size=\"48435200\", alpha=\"0.19\", expect_size=\"24217600\"] \n  16 -> 21 [size =\"24217600\"]\n  16 -> 22 [size =\"24217600\"]\n  17 [size=\"46561280\", alpha=\"0.00\", expect_size=\"23280640\"] \n  17 -> 21 [size =\"23280640\"]\n  18 [size=\"18030592\", alpha=\"0.07\", expect_size=\"9015296\"] \n  18 -> 22 [size =\"9015296\"]\n  19 [size=\"84287488\", alpha=\"0.07\", expect_size=\"42143744\"] \n  19 -> 21 [size =\"42143744\"]\n  19 -> 22 [size =\"42143744\"]\n  20 [size=\"10657792\", alpha=\"0.04\", expect_size=\"5328896\"] \n  20 -> 23 [size =\"5328896\"]\n  20 -> 25 [size =\"5328896\"]\n  21 [size=\"67639296\", alpha=\"0.18\", expect_size=\"33819648\"] \n  21 -> 24 [size =\"33819648\"]\n  22 [size=\"87095296\", alpha=\"0.20\", expect_size=\"43547648\"] \n  22 -> 23 [size =\"43547648\"]\n  22 -> 24 [size =\"43547648\"]\n  23 [size=\"69083136\", alpha=\"0.11\", expect_size=\"34541568\"] \n  24 [size=\"16181248\", alpha=\"0.14\", expect_size=\"8090624\"] \n  25 [size=\"15673344\", alpha=\"0.15\", expect_size=\"7836672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88258560\", alpha=\"0.08\", expect_size=\"35303424\"] \n  1 -> 9 [size =\"35303424\"]\n  1 -> 13 [size =\"35303424\"]\n  2 [size=\"102878720\", alpha=\"0.12\", expect_size=\"41151488\"] \n  2 -> 10 [size =\"41151488\"]\n  2 -> 15 [size =\"41151488\"]\n  3 [size=\"110338560\", alpha=\"0.11\", expect_size=\"44135424\"] \n  3 -> 13 [size =\"44135424\"]\n  3 -> 15 [size =\"44135424\"]\n  4 [size=\"113697280\", alpha=\"0.13\", expect_size=\"45478912\"] \n  4 -> 9 [size =\"45478912\"]\n  4 -> 13 [size =\"45478912\"]\n  4 -> 14 [size =\"45478912\"]\n  4 -> 15 [size =\"45478912\"]\n  5 [size=\"25313280\", alpha=\"0.06\", expect_size=\"10125312\"] \n  5 -> 9 [size =\"10125312\"]\n  5 -> 10 [size =\"10125312\"]\n  5 -> 14 [size =\"10125312\"]\n  6 [size=\"116495360\", alpha=\"0.19\", expect_size=\"46598144\"] \n  6 -> 10 [size =\"46598144\"]\n  6 -> 15 [size =\"46598144\"]\n  6 -> 16 [size =\"46598144\"]\n  7 [size=\"32038400\", alpha=\"0.16\", expect_size=\"12815360\"] \n  7 -> 10 [size =\"12815360\"]\n  7 -> 12 [size =\"12815360\"]\n  7 -> 16 [size =\"12815360\"]\n  8 [size=\"70469120\", alpha=\"0.10\", expect_size=\"28187648\"] \n  8 -> 10 [size =\"28187648\"]\n  8 -> 11 [size =\"28187648\"]\n  8 -> 13 [size =\"28187648\"]\n  8 -> 15 [size =\"28187648\"]\n  8 -> 16 [size =\"28187648\"]\n  9 [size=\"47316480\", alpha=\"0.10\", expect_size=\"18926592\"] \n  9 -> 17 [size =\"18926592\"]\n  9 -> 20 [size =\"18926592\"]\n  9 -> 23 [size =\"18926592\"]\n  10 [size=\"99809280\", alpha=\"0.17\", expect_size=\"39923712\"] \n  10 -> 17 [size =\"39923712\"]\n  10 -> 18 [size =\"39923712\"]\n  10 -> 22 [size =\"39923712\"]\n  10 -> 23 [size =\"39923712\"]\n  11 [size=\"81070080\", alpha=\"0.02\", expect_size=\"32428032\"] \n  11 -> 17 [size =\"32428032\"]\n  11 -> 18 [size =\"32428032\"]\n  11 -> 21 [size =\"32428032\"]\n  11 -> 22 [size =\"32428032\"]\n  11 -> 23 [size =\"32428032\"]\n  12 [size=\"130460160\", alpha=\"0.08\", expect_size=\"52184064\"] \n  12 -> 23 [size =\"52184064\"]\n  13 [size=\"85112320\", alpha=\"0.00\", expect_size=\"34044928\"] \n  13 -> 18 [size =\"34044928\"]\n  13 -> 21 [size =\"34044928\"]\n  13 -> 22 [size =\"34044928\"]\n  14 [size=\"30543360\", alpha=\"0.03\", expect_size=\"12217344\"] \n  14 -> 21 [size =\"12217344\"]\n  14 -> 22 [size =\"12217344\"]\n  14 -> 22 [size =\"12217344\"]\n  15 [size=\"109885440\", alpha=\"0.08\", expect_size=\"43954176\"] \n  15 -> 17 [size =\"43954176\"]\n  15 -> 18 [size =\"43954176\"]\n  15 -> 19 [size =\"43954176\"]\n  15 -> 21 [size =\"43954176\"]\n  16 [size=\"29555200\", alpha=\"0.13\", expect_size=\"11822080\"] \n  17 [size=\"26112000\", alpha=\"0.02\", expect_size=\"10444800\"] \n  18 [size=\"120222720\", alpha=\"0.06\", expect_size=\"48089088\"] \n  18 -> 24 [size =\"48089088\"]\n  19 [size=\"62551040\", alpha=\"0.08\", expect_size=\"25020416\"] \n  19 -> 24 [size =\"25020416\"]\n  20 [size=\"123952640\", alpha=\"0.18\", expect_size=\"49581056\"] \n  20 -> 24 [size =\"49581056\"]\n  20 -> 25 [size =\"49581056\"]\n  21 [size=\"107202560\", alpha=\"0.00\", expect_size=\"42881024\"] \n  21 -> 24 [size =\"42881024\"]\n  22 [size=\"116190720\", alpha=\"0.18\", expect_size=\"46476288\"] \n  23 [size=\"43448320\", alpha=\"0.12\", expect_size=\"17379328\"] \n  23 -> 25 [size =\"17379328\"]\n  24 [size=\"44449280\", alpha=\"0.03\", expect_size=\"17779712\"] \n  25 [size=\"60096000\", alpha=\"0.16\", expect_size=\"24038400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62658560\", alpha=\"0.07\", expect_size=\"25063424\"] \n  1 -> 3 [size =\"25063424\"]\n  1 -> 6 [size =\"25063424\"]\n  2 [size=\"125365760\", alpha=\"0.09\", expect_size=\"50146304\"] \n  2 -> 4 [size =\"50146304\"]\n  2 -> 5 [size =\"50146304\"]\n  3 [size=\"85196800\", alpha=\"0.20\", expect_size=\"34078720\"] \n  3 -> 7 [size =\"34078720\"]\n  4 [size=\"108441600\", alpha=\"0.14\", expect_size=\"43376640\"] \n  4 -> 7 [size =\"43376640\"]\n  5 [size=\"57292800\", alpha=\"0.12\", expect_size=\"22917120\"] \n  5 -> 7 [size =\"22917120\"]\n  5 -> 8 [size =\"22917120\"]\n  5 -> 9 [size =\"22917120\"]\n  5 -> 10 [size =\"22917120\"]\n  5 -> 11 [size =\"22917120\"]\n  6 [size=\"99816960\", alpha=\"0.09\", expect_size=\"39926784\"] \n  6 -> 10 [size =\"39926784\"]\n  7 [size=\"29224960\", alpha=\"0.20\", expect_size=\"11689984\"] \n  7 -> 14 [size =\"11689984\"]\n  8 [size=\"38740480\", alpha=\"0.03\", expect_size=\"15496192\"] \n  8 -> 14 [size =\"15496192\"]\n  9 [size=\"126141440\", alpha=\"0.13\", expect_size=\"50456576\"] \n  9 -> 14 [size =\"50456576\"]\n  10 [size=\"127290880\", alpha=\"0.16\", expect_size=\"50916352\"] \n  10 -> 13 [size =\"50916352\"]\n  10 -> 14 [size =\"50916352\"]\n  11 [size=\"110371840\", alpha=\"0.01\", expect_size=\"44148736\"] \n  11 -> 12 [size =\"44148736\"]\n  11 -> 13 [size =\"44148736\"]\n  11 -> 14 [size =\"44148736\"]\n  12 [size=\"33658880\", alpha=\"0.18\", expect_size=\"13463552\"] \n  12 -> 15 [size =\"13463552\"]\n  12 -> 16 [size =\"13463552\"]\n  13 [size=\"88384000\", alpha=\"0.00\", expect_size=\"35353600\"] \n  13 -> 15 [size =\"35353600\"]\n  14 [size=\"85501440\", alpha=\"0.04\", expect_size=\"34200576\"] \n  14 -> 16 [size =\"34200576\"]\n  15 [size=\"51340800\", alpha=\"0.06\", expect_size=\"20536320\"] \n  15 -> 17 [size =\"20536320\"]\n  15 -> 18 [size =\"20536320\"]\n  15 -> 19 [size =\"20536320\"]\n  15 -> 20 [size =\"20536320\"]\n  16 [size=\"119513600\", alpha=\"0.01\", expect_size=\"47805440\"] \n  16 -> 17 [size =\"47805440\"]\n  16 -> 18 [size =\"47805440\"]\n  16 -> 20 [size =\"47805440\"]\n  17 [size=\"55613440\", alpha=\"0.09\", expect_size=\"22245376\"] \n  17 -> 21 [size =\"22245376\"]\n  17 -> 22 [size =\"22245376\"]\n  18 [size=\"54456320\", alpha=\"0.04\", expect_size=\"21782528\"] \n  18 -> 21 [size =\"21782528\"]\n  18 -> 22 [size =\"21782528\"]\n  19 [size=\"72586240\", alpha=\"0.18\", expect_size=\"29034496\"] \n  19 -> 21 [size =\"29034496\"]\n  20 [size=\"29752320\", alpha=\"0.06\", expect_size=\"11900928\"] \n  20 -> 21 [size =\"11900928\"]\n  20 -> 22 [size =\"11900928\"]\n  21 [size=\"121710080\", alpha=\"0.01\", expect_size=\"48684032\"] \n  21 -> 23 [size =\"48684032\"]\n  21 -> 24 [size =\"48684032\"]\n  22 [size=\"129546240\", alpha=\"0.16\", expect_size=\"51818496\"] \n  22 -> 23 [size =\"51818496\"]\n  22 -> 25 [size =\"51818496\"]\n  23 [size=\"118753280\", alpha=\"0.03\", expect_size=\"47501312\"] \n  24 [size=\"119047680\", alpha=\"0.06\", expect_size=\"47619072\"] \n  25 [size=\"25891840\", alpha=\"0.16\", expect_size=\"10356736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95563776\", alpha=\"0.16\", expect_size=\"47781888\"] \n  1 -> 2 [size =\"47781888\"]\n  2 [size=\"72509440\", alpha=\"0.09\", expect_size=\"36254720\"] \n  2 -> 3 [size =\"36254720\"]\n  3 [size=\"13723648\", alpha=\"0.00\", expect_size=\"6861824\"] \n  3 -> 4 [size =\"6861824\"]\n  4 [size=\"72204288\", alpha=\"0.12\", expect_size=\"36102144\"] \n  4 -> 5 [size =\"36102144\"]\n  5 [size=\"59015168\", alpha=\"0.13\", expect_size=\"29507584\"] \n  5 -> 6 [size =\"29507584\"]\n  6 [size=\"101574656\", alpha=\"0.18\", expect_size=\"50787328\"] \n  6 -> 7 [size =\"50787328\"]\n  7 [size=\"20267008\", alpha=\"0.10\", expect_size=\"10133504\"] \n  7 -> 8 [size =\"10133504\"]\n  8 [size=\"20813824\", alpha=\"0.16\", expect_size=\"10406912\"] \n  8 -> 9 [size =\"10406912\"]\n  9 [size=\"28870656\", alpha=\"0.17\", expect_size=\"14435328\"] \n  9 -> 10 [size =\"14435328\"]\n  10 [size=\"93014016\", alpha=\"0.06\", expect_size=\"46507008\"] \n  10 -> 11 [size =\"46507008\"]\n  11 [size=\"65302528\", alpha=\"0.17\", expect_size=\"32651264\"] \n  11 -> 12 [size =\"32651264\"]\n  12 [size=\"44648448\", alpha=\"0.13\", expect_size=\"22324224\"] \n  12 -> 13 [size =\"22324224\"]\n  13 [size=\"89004032\", alpha=\"0.11\", expect_size=\"44502016\"] \n  13 -> 14 [size =\"44502016\"]\n  14 [size=\"90423296\", alpha=\"0.06\", expect_size=\"45211648\"] \n  14 -> 15 [size =\"45211648\"]\n  15 [size=\"53901312\", alpha=\"0.10\", expect_size=\"26950656\"] \n  15 -> 16 [size =\"26950656\"]\n  16 [size=\"19748864\", alpha=\"0.01\", expect_size=\"9874432\"] \n  16 -> 17 [size =\"9874432\"]\n  17 [size=\"10915840\", alpha=\"0.03\", expect_size=\"5457920\"] \n  17 -> 18 [size =\"5457920\"]\n  18 [size=\"57354240\", alpha=\"0.02\", expect_size=\"28677120\"] \n  18 -> 19 [size =\"28677120\"]\n  19 [size=\"40210432\", alpha=\"0.02\", expect_size=\"20105216\"] \n  19 -> 20 [size =\"20105216\"]\n  20 [size=\"23699456\", alpha=\"0.11\", expect_size=\"11849728\"] \n  20 -> 21 [size =\"11849728\"]\n  21 [size=\"50800640\", alpha=\"0.18\", expect_size=\"25400320\"] \n  21 -> 22 [size =\"25400320\"]\n  22 [size=\"34301952\", alpha=\"0.18\", expect_size=\"17150976\"] \n  22 -> 23 [size =\"17150976\"]\n  23 [size=\"95488000\", alpha=\"0.18\", expect_size=\"47744000\"] \n  23 -> 24 [size =\"47744000\"]\n  24 [size=\"51542016\", alpha=\"0.12\", expect_size=\"25771008\"] \n  24 -> 25 [size =\"25771008\"]\n  25 [size=\"79196160\", alpha=\"0.16\", expect_size=\"39598080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90580992\", alpha=\"0.13\", expect_size=\"45290496\"] \n  1 -> 2 [size =\"45290496\"]\n  2 [size=\"88711168\", alpha=\"0.14\", expect_size=\"44355584\"] \n  2 -> 3 [size =\"44355584\"]\n  3 [size=\"50161664\", alpha=\"0.17\", expect_size=\"25080832\"] \n  3 -> 4 [size =\"25080832\"]\n  4 [size=\"74434560\", alpha=\"0.08\", expect_size=\"37217280\"] \n  4 -> 5 [size =\"37217280\"]\n  5 [size=\"34717696\", alpha=\"0.10\", expect_size=\"17358848\"] \n  5 -> 6 [size =\"17358848\"]\n  6 [size=\"92911616\", alpha=\"0.02\", expect_size=\"46455808\"] \n  6 -> 7 [size =\"46455808\"]\n  7 [size=\"39761920\", alpha=\"0.13\", expect_size=\"19880960\"] \n  7 -> 8 [size =\"19880960\"]\n  8 [size=\"79405056\", alpha=\"0.10\", expect_size=\"39702528\"] \n  8 -> 9 [size =\"39702528\"]\n  9 [size=\"29014016\", alpha=\"0.03\", expect_size=\"14507008\"] \n  9 -> 10 [size =\"14507008\"]\n  10 [size=\"102760448\", alpha=\"0.07\", expect_size=\"51380224\"] \n  10 -> 11 [size =\"51380224\"]\n  11 [size=\"23265280\", alpha=\"0.16\", expect_size=\"11632640\"] \n  11 -> 12 [size =\"11632640\"]\n  12 [size=\"85811200\", alpha=\"0.15\", expect_size=\"42905600\"] \n  12 -> 13 [size =\"42905600\"]\n  13 [size=\"56637440\", alpha=\"0.01\", expect_size=\"28318720\"] \n  13 -> 14 [size =\"28318720\"]\n  14 [size=\"41433088\", alpha=\"0.12\", expect_size=\"20716544\"] \n  14 -> 15 [size =\"20716544\"]\n  15 [size=\"76890112\", alpha=\"0.04\", expect_size=\"38445056\"] \n  15 -> 16 [size =\"38445056\"]\n  16 [size=\"30498816\", alpha=\"0.03\", expect_size=\"15249408\"] \n  16 -> 17 [size =\"15249408\"]\n  17 [size=\"39591936\", alpha=\"0.16\", expect_size=\"19795968\"] \n  17 -> 18 [size =\"19795968\"]\n  18 [size=\"101892096\", alpha=\"0.02\", expect_size=\"50946048\"] \n  18 -> 19 [size =\"50946048\"]\n  19 [size=\"55533568\", alpha=\"0.05\", expect_size=\"27766784\"] \n  19 -> 20 [size =\"27766784\"]\n  20 [size=\"69935104\", alpha=\"0.05\", expect_size=\"34967552\"] \n  20 -> 21 [size =\"34967552\"]\n  21 [size=\"102754304\", alpha=\"0.02\", expect_size=\"51377152\"] \n  21 -> 22 [size =\"51377152\"]\n  22 [size=\"83312640\", alpha=\"0.16\", expect_size=\"41656320\"] \n  22 -> 23 [size =\"41656320\"]\n  23 [size=\"57935872\", alpha=\"0.18\", expect_size=\"28967936\"] \n  23 -> 24 [size =\"28967936\"]\n  24 [size=\"63051776\", alpha=\"0.13\", expect_size=\"31525888\"] \n  24 -> 25 [size =\"31525888\"]\n  25 [size=\"26675200\", alpha=\"0.14\", expect_size=\"13337600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60446720\", alpha=\"0.20\", expect_size=\"24178688\"] \n  1 -> 11 [size =\"24178688\"]\n  2 [size=\"108170240\", alpha=\"0.15\", expect_size=\"43268096\"] \n  2 -> 11 [size =\"43268096\"]\n  2 -> 13 [size =\"43268096\"]\n  3 [size=\"47505920\", alpha=\"0.08\", expect_size=\"19002368\"] \n  3 -> 9 [size =\"19002368\"]\n  3 -> 10 [size =\"19002368\"]\n  3 -> 11 [size =\"19002368\"]\n  3 -> 12 [size =\"19002368\"]\n  4 [size=\"101122560\", alpha=\"0.01\", expect_size=\"40449024\"] \n  5 [size=\"113072640\", alpha=\"0.08\", expect_size=\"45229056\"] \n  5 -> 9 [size =\"45229056\"]\n  5 -> 11 [size =\"45229056\"]\n  5 -> 13 [size =\"45229056\"]\n  5 -> 14 [size =\"45229056\"]\n  5 -> 15 [size =\"45229056\"]\n  6 [size=\"114818560\", alpha=\"0.06\", expect_size=\"45927424\"] \n  6 -> 9 [size =\"45927424\"]\n  6 -> 13 [size =\"45927424\"]\n  7 [size=\"119467520\", alpha=\"0.09\", expect_size=\"47787008\"] \n  7 -> 10 [size =\"47787008\"]\n  7 -> 15 [size =\"47787008\"]\n  7 -> 16 [size =\"47787008\"]\n  7 -> 17 [size =\"47787008\"]\n  8 [size=\"28551680\", alpha=\"0.18\", expect_size=\"11420672\"] \n  8 -> 13 [size =\"11420672\"]\n  8 -> 15 [size =\"11420672\"]\n  9 [size=\"80422400\", alpha=\"0.02\", expect_size=\"32168960\"] \n  9 -> 19 [size =\"32168960\"]\n  9 -> 22 [size =\"32168960\"]\n  9 -> 23 [size =\"32168960\"]\n  9 -> 25 [size =\"32168960\"]\n  10 [size=\"124359680\", alpha=\"0.16\", expect_size=\"49743872\"] \n  10 -> 20 [size =\"49743872\"]\n  10 -> 22 [size =\"49743872\"]\n  10 -> 23 [size =\"49743872\"]\n  10 -> 25 [size =\"49743872\"]\n  11 [size=\"95715840\", alpha=\"0.08\", expect_size=\"38286336\"] \n  11 -> 19 [size =\"38286336\"]\n  11 -> 21 [size =\"38286336\"]\n  11 -> 22 [size =\"38286336\"]\n  12 [size=\"93719040\", alpha=\"0.01\", expect_size=\"37487616\"] \n  12 -> 21 [size =\"37487616\"]\n  12 -> 22 [size =\"37487616\"]\n  12 -> 23 [size =\"37487616\"]\n  13 [size=\"64133120\", alpha=\"0.09\", expect_size=\"25653248\"] \n  13 -> 18 [size =\"25653248\"]\n  13 -> 21 [size =\"25653248\"]\n  13 -> 25 [size =\"25653248\"]\n  14 [size=\"113474560\", alpha=\"0.14\", expect_size=\"45389824\"] \n  14 -> 18 [size =\"45389824\"]\n  14 -> 24 [size =\"45389824\"]\n  15 [size=\"119943680\", alpha=\"0.05\", expect_size=\"47977472\"] \n  15 -> 18 [size =\"47977472\"]\n  15 -> 22 [size =\"47977472\"]\n  16 [size=\"47567360\", alpha=\"0.19\", expect_size=\"19026944\"] \n  16 -> 19 [size =\"19026944\"]\n  16 -> 25 [size =\"19026944\"]\n  17 [size=\"82915840\", alpha=\"0.04\", expect_size=\"33166336\"] \n  17 -> 19 [size =\"33166336\"]\n  17 -> 23 [size =\"33166336\"]\n  18 [size=\"18101760\", alpha=\"0.11\", expect_size=\"7240704\"] \n  19 [size=\"122081280\", alpha=\"0.11\", expect_size=\"48832512\"] \n  20 [size=\"13959680\", alpha=\"0.18\", expect_size=\"5583872\"] \n  21 [size=\"108218880\", alpha=\"0.13\", expect_size=\"43287552\"] \n  22 [size=\"38446080\", alpha=\"0.04\", expect_size=\"15378432\"] \n  23 [size=\"41981440\", alpha=\"0.01\", expect_size=\"16792576\"] \n  24 [size=\"92746240\", alpha=\"0.13\", expect_size=\"37098496\"] \n  25 [size=\"57082880\", alpha=\"0.01\", expect_size=\"22833152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73676800\", alpha=\"0.09\", expect_size=\"22103040\"] \n  1 -> 20 [size =\"22103040\"]\n  1 -> 22 [size =\"22103040\"]\n  1 -> 25 [size =\"22103040\"]\n  2 [size=\"161949013\", alpha=\"0.14\", expect_size=\"48584704\"] \n  2 -> 20 [size =\"48584704\"]\n  2 -> 23 [size =\"48584704\"]\n  2 -> 25 [size =\"48584704\"]\n  3 [size=\"151616853\", alpha=\"0.08\", expect_size=\"45485056\"] \n  4 [size=\"54179840\", alpha=\"0.07\", expect_size=\"16253952\"] \n  4 -> 21 [size =\"16253952\"]\n  4 -> 23 [size =\"16253952\"]\n  5 [size=\"21831680\", alpha=\"0.08\", expect_size=\"6549504\"] \n  5 -> 19 [size =\"6549504\"]\n  6 [size=\"159457280\", alpha=\"0.20\", expect_size=\"47837184\"] \n  6 -> 19 [size =\"47837184\"]\n  6 -> 21 [size =\"47837184\"]\n  7 [size=\"163713707\", alpha=\"0.13\", expect_size=\"49114112\"] \n  7 -> 20 [size =\"49114112\"]\n  7 -> 24 [size =\"49114112\"]\n  7 -> 25 [size =\"49114112\"]\n  8 [size=\"45069653\", alpha=\"0.05\", expect_size=\"13520896\"] \n  8 -> 19 [size =\"13520896\"]\n  9 [size=\"61566293\", alpha=\"0.14\", expect_size=\"18469888\"] \n  9 -> 19 [size =\"18469888\"]\n  9 -> 20 [size =\"18469888\"]\n  9 -> 25 [size =\"18469888\"]\n  10 [size=\"46820693\", alpha=\"0.04\", expect_size=\"14046208\"] \n  10 -> 19 [size =\"14046208\"]\n  11 [size=\"131300693\", alpha=\"0.05\", expect_size=\"39390208\"] \n  11 -> 19 [size =\"39390208\"]\n  12 [size=\"48254293\", alpha=\"0.06\", expect_size=\"14476288\"] \n  12 -> 21 [size =\"14476288\"]\n  13 [size=\"159133013\", alpha=\"0.15\", expect_size=\"47739904\"] \n  13 -> 19 [size =\"47739904\"]\n  14 [size=\"66560000\", alpha=\"0.05\", expect_size=\"19968000\"] \n  14 -> 19 [size =\"19968000\"]\n  14 -> 23 [size =\"19968000\"]\n  14 -> 24 [size =\"19968000\"]\n  14 -> 25 [size =\"19968000\"]\n  15 [size=\"123432960\", alpha=\"0.10\", expect_size=\"37029888\"] \n  15 -> 20 [size =\"37029888\"]\n  15 -> 25 [size =\"37029888\"]\n  16 [size=\"30487893\", alpha=\"0.15\", expect_size=\"9146368\"] \n  16 -> 19 [size =\"9146368\"]\n  16 -> 25 [size =\"9146368\"]\n  17 [size=\"27723093\", alpha=\"0.05\", expect_size=\"8316928\"] \n  17 -> 25 [size =\"8316928\"]\n  18 [size=\"133703680\", alpha=\"0.07\", expect_size=\"40111104\"] \n  18 -> 19 [size =\"40111104\"]\n  18 -> 23 [size =\"40111104\"]\n  19 [size=\"17551360\", alpha=\"0.05\", expect_size=\"5265408\"] \n  20 [size=\"126668800\", alpha=\"0.08\", expect_size=\"38000640\"] \n  21 [size=\"160897707\", alpha=\"0.18\", expect_size=\"48269312\"] \n  22 [size=\"43537067\", alpha=\"0.07\", expect_size=\"13061120\"] \n  23 [size=\"86852267\", alpha=\"0.12\", expect_size=\"26055680\"] \n  24 [size=\"44189013\", alpha=\"0.03\", expect_size=\"13256704\"] \n  25 [size=\"86405120\", alpha=\"0.13\", expect_size=\"25921536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169069227\", alpha=\"0.19\", expect_size=\"50720768\"] \n  1 -> 4 [size =\"50720768\"]\n  1 -> 5 [size =\"50720768\"]\n  2 [size=\"105082880\", alpha=\"0.19\", expect_size=\"31524864\"] \n  2 -> 6 [size =\"31524864\"]\n  2 -> 7 [size =\"31524864\"]\n  3 [size=\"97785173\", alpha=\"0.15\", expect_size=\"29335552\"] \n  3 -> 4 [size =\"29335552\"]\n  3 -> 5 [size =\"29335552\"]\n  3 -> 7 [size =\"29335552\"]\n  4 [size=\"163860480\", alpha=\"0.06\", expect_size=\"49158144\"] \n  4 -> 8 [size =\"49158144\"]\n  5 [size=\"107711147\", alpha=\"0.02\", expect_size=\"32313344\"] \n  5 -> 10 [size =\"32313344\"]\n  6 [size=\"161641813\", alpha=\"0.04\", expect_size=\"48492544\"] \n  6 -> 8 [size =\"48492544\"]\n  6 -> 9 [size =\"48492544\"]\n  7 [size=\"48680960\", alpha=\"0.18\", expect_size=\"14604288\"] \n  7 -> 10 [size =\"14604288\"]\n  8 [size=\"66604373\", alpha=\"0.02\", expect_size=\"19981312\"] \n  8 -> 11 [size =\"19981312\"]\n  8 -> 12 [size =\"19981312\"]\n  9 [size=\"45018453\", alpha=\"0.06\", expect_size=\"13505536\"] \n  9 -> 11 [size =\"13505536\"]\n  9 -> 12 [size =\"13505536\"]\n  10 [size=\"98423467\", alpha=\"0.11\", expect_size=\"29527040\"] \n  10 -> 13 [size =\"29527040\"]\n  11 [size=\"66088960\", alpha=\"0.13\", expect_size=\"19826688\"] \n  11 -> 14 [size =\"19826688\"]\n  11 -> 15 [size =\"19826688\"]\n  12 [size=\"55046827\", alpha=\"0.00\", expect_size=\"16514048\"] \n  12 -> 16 [size =\"16514048\"]\n  13 [size=\"49476267\", alpha=\"0.14\", expect_size=\"14842880\"] \n  14 [size=\"170868053\", alpha=\"0.06\", expect_size=\"51260416\"] \n  14 -> 17 [size =\"51260416\"]\n  14 -> 18 [size =\"51260416\"]\n  14 -> 19 [size =\"51260416\"]\n  15 [size=\"61678933\", alpha=\"0.18\", expect_size=\"18503680\"] \n  15 -> 20 [size =\"18503680\"]\n  16 [size=\"74151253\", alpha=\"0.19\", expect_size=\"22245376\"] \n  16 -> 17 [size =\"22245376\"]\n  17 [size=\"108806827\", alpha=\"0.06\", expect_size=\"32642048\"] \n  17 -> 21 [size =\"32642048\"]\n  18 [size=\"89832107\", alpha=\"0.13\", expect_size=\"26949632\"] \n  19 [size=\"108776107\", alpha=\"0.10\", expect_size=\"32632832\"] \n  20 [size=\"155566080\", alpha=\"0.04\", expect_size=\"46669824\"] \n  20 -> 21 [size =\"46669824\"]\n  20 -> 22 [size =\"46669824\"]\n  20 -> 23 [size =\"46669824\"]\n  21 [size=\"83496960\", alpha=\"0.18\", expect_size=\"25049088\"] \n  21 -> 24 [size =\"25049088\"]\n  22 [size=\"30866773\", alpha=\"0.02\", expect_size=\"9260032\"] \n  22 -> 25 [size =\"9260032\"]\n  23 [size=\"32242347\", alpha=\"0.17\", expect_size=\"9672704\"] \n  23 -> 24 [size =\"9672704\"]\n  24 [size=\"140008107\", alpha=\"0.10\", expect_size=\"42002432\"] \n  25 [size=\"31313920\", alpha=\"0.15\", expect_size=\"9394176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28743680\", alpha=\"0.04\", expect_size=\"8623104\"] \n  1 -> 20 [size =\"8623104\"]\n  1 -> 21 [size =\"8623104\"]\n  1 -> 23 [size =\"8623104\"]\n  2 [size=\"65648640\", alpha=\"0.08\", expect_size=\"19694592\"] \n  2 -> 20 [size =\"19694592\"]\n  2 -> 21 [size =\"19694592\"]\n  3 [size=\"30071467\", alpha=\"0.19\", expect_size=\"9021440\"] \n  3 -> 22 [size =\"9021440\"]\n  3 -> 23 [size =\"9021440\"]\n  4 [size=\"78376960\", alpha=\"0.01\", expect_size=\"23513088\"] \n  4 -> 18 [size =\"23513088\"]\n  4 -> 20 [size =\"23513088\"]\n  4 -> 21 [size =\"23513088\"]\n  4 -> 22 [size =\"23513088\"]\n  4 -> 23 [size =\"23513088\"]\n  4 -> 24 [size =\"23513088\"]\n  5 [size=\"17715200\", alpha=\"0.03\", expect_size=\"5314560\"] \n  5 -> 22 [size =\"5314560\"]\n  5 -> 23 [size =\"5314560\"]\n  5 -> 24 [size =\"5314560\"]\n  6 [size=\"91166720\", alpha=\"0.13\", expect_size=\"27350016\"] \n  6 -> 20 [size =\"27350016\"]\n  6 -> 22 [size =\"27350016\"]\n  6 -> 23 [size =\"27350016\"]\n  6 -> 24 [size =\"27350016\"]\n  7 [size=\"132222293\", alpha=\"0.20\", expect_size=\"39666688\"] \n  7 -> 18 [size =\"39666688\"]\n  7 -> 20 [size =\"39666688\"]\n  7 -> 21 [size =\"39666688\"]\n  7 -> 22 [size =\"39666688\"]\n  7 -> 23 [size =\"39666688\"]\n  7 -> 24 [size =\"39666688\"]\n  8 [size=\"123187200\", alpha=\"0.04\", expect_size=\"36956160\"] \n  8 -> 19 [size =\"36956160\"]\n  8 -> 20 [size =\"36956160\"]\n  8 -> 21 [size =\"36956160\"]\n  8 -> 22 [size =\"36956160\"]\n  8 -> 23 [size =\"36956160\"]\n  9 [size=\"117149013\", alpha=\"0.02\", expect_size=\"35144704\"] \n  9 -> 20 [size =\"35144704\"]\n  10 [size=\"89634133\", alpha=\"0.11\", expect_size=\"26890240\"] \n  10 -> 21 [size =\"26890240\"]\n  11 [size=\"41243307\", alpha=\"0.07\", expect_size=\"12372992\"] \n  11 -> 20 [size =\"12372992\"]\n  11 -> 21 [size =\"12372992\"]\n  11 -> 23 [size =\"12372992\"]\n  12 [size=\"74523307\", alpha=\"0.07\", expect_size=\"22356992\"] \n  12 -> 21 [size =\"22356992\"]\n  13 [size=\"135731200\", alpha=\"0.13\", expect_size=\"40719360\"] \n  13 -> 19 [size =\"40719360\"]\n  13 -> 21 [size =\"40719360\"]\n  13 -> 25 [size =\"40719360\"]\n  14 [size=\"128518827\", alpha=\"0.16\", expect_size=\"38555648\"] \n  14 -> 19 [size =\"38555648\"]\n  14 -> 20 [size =\"38555648\"]\n  14 -> 21 [size =\"38555648\"]\n  14 -> 22 [size =\"38555648\"]\n  15 [size=\"140233387\", alpha=\"0.18\", expect_size=\"42070016\"] \n  15 -> 19 [size =\"42070016\"]\n  15 -> 20 [size =\"42070016\"]\n  15 -> 21 [size =\"42070016\"]\n  15 -> 23 [size =\"42070016\"]\n  15 -> 24 [size =\"42070016\"]\n  15 -> 25 [size =\"42070016\"]\n  16 [size=\"162631680\", alpha=\"0.18\", expect_size=\"48789504\"] \n  16 -> 20 [size =\"48789504\"]\n  16 -> 20 [size =\"48789504\"]\n  16 -> 21 [size =\"48789504\"]\n  17 [size=\"105707520\", alpha=\"0.12\", expect_size=\"31712256\"] \n  17 -> 22 [size =\"31712256\"]\n  18 [size=\"104932693\", alpha=\"0.12\", expect_size=\"31479808\"] \n  19 [size=\"134939307\", alpha=\"0.07\", expect_size=\"40481792\"] \n  20 [size=\"147254613\", alpha=\"0.20\", expect_size=\"44176384\"] \n  21 [size=\"74673493\", alpha=\"0.14\", expect_size=\"22402048\"] \n  22 [size=\"131078827\", alpha=\"0.14\", expect_size=\"39323648\"] \n  23 [size=\"25442987\", alpha=\"0.16\", expect_size=\"7632896\"] \n  24 [size=\"123825493\", alpha=\"0.06\", expect_size=\"37147648\"] \n  25 [size=\"88671573\", alpha=\"0.15\", expect_size=\"26601472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89490773\", alpha=\"0.05\", expect_size=\"26847232\"] \n  1 -> 8 [size =\"26847232\"]\n  1 -> 10 [size =\"26847232\"]\n  1 -> 12 [size =\"26847232\"]\n  1 -> 13 [size =\"26847232\"]\n  1 -> 14 [size =\"26847232\"]\n  1 -> 16 [size =\"26847232\"]\n  2 [size=\"47182507\", alpha=\"0.14\", expect_size=\"14154752\"] \n  2 -> 9 [size =\"14154752\"]\n  2 -> 13 [size =\"14154752\"]\n  2 -> 15 [size =\"14154752\"]\n  2 -> 16 [size =\"14154752\"]\n  3 [size=\"90279253\", alpha=\"0.04\", expect_size=\"27083776\"] \n  3 -> 8 [size =\"27083776\"]\n  3 -> 9 [size =\"27083776\"]\n  3 -> 12 [size =\"27083776\"]\n  3 -> 13 [size =\"27083776\"]\n  3 -> 14 [size =\"27083776\"]\n  3 -> 15 [size =\"27083776\"]\n  3 -> 16 [size =\"27083776\"]\n  4 [size=\"88156160\", alpha=\"0.10\", expect_size=\"26446848\"] \n  4 -> 8 [size =\"26446848\"]\n  4 -> 9 [size =\"26446848\"]\n  4 -> 10 [size =\"26446848\"]\n  4 -> 12 [size =\"26446848\"]\n  4 -> 15 [size =\"26446848\"]\n  4 -> 16 [size =\"26446848\"]\n  5 [size=\"98624853\", alpha=\"0.10\", expect_size=\"29587456\"] \n  5 -> 8 [size =\"29587456\"]\n  5 -> 10 [size =\"29587456\"]\n  5 -> 14 [size =\"29587456\"]\n  6 [size=\"80097280\", alpha=\"0.07\", expect_size=\"24029184\"] \n  6 -> 8 [size =\"24029184\"]\n  6 -> 11 [size =\"24029184\"]\n  6 -> 12 [size =\"24029184\"]\n  7 [size=\"68444160\", alpha=\"0.18\", expect_size=\"20533248\"] \n  7 -> 9 [size =\"20533248\"]\n  7 -> 10 [size =\"20533248\"]\n  7 -> 11 [size =\"20533248\"]\n  7 -> 14 [size =\"20533248\"]\n  7 -> 15 [size =\"20533248\"]\n  8 [size=\"88924160\", alpha=\"0.01\", expect_size=\"26677248\"] \n  8 -> 18 [size =\"26677248\"]\n  8 -> 19 [size =\"26677248\"]\n  8 -> 20 [size =\"26677248\"]\n  8 -> 21 [size =\"26677248\"]\n  8 -> 25 [size =\"26677248\"]\n  9 [size=\"36150613\", alpha=\"0.02\", expect_size=\"10845184\"] \n  9 -> 18 [size =\"10845184\"]\n  9 -> 24 [size =\"10845184\"]\n  9 -> 25 [size =\"10845184\"]\n  10 [size=\"72881493\", alpha=\"0.12\", expect_size=\"21864448\"] \n  10 -> 18 [size =\"21864448\"]\n  10 -> 19 [size =\"21864448\"]\n  11 [size=\"21671253\", alpha=\"0.03\", expect_size=\"6501376\"] \n  11 -> 20 [size =\"6501376\"]\n  12 [size=\"60194133\", alpha=\"0.03\", expect_size=\"18058240\"] \n  12 -> 18 [size =\"18058240\"]\n  12 -> 22 [size =\"18058240\"]\n  12 -> 25 [size =\"18058240\"]\n  13 [size=\"168335360\", alpha=\"0.12\", expect_size=\"50500608\"] \n  13 -> 17 [size =\"50500608\"]\n  13 -> 18 [size =\"50500608\"]\n  13 -> 20 [size =\"50500608\"]\n  14 [size=\"43578027\", alpha=\"0.16\", expect_size=\"13073408\"] \n  14 -> 22 [size =\"13073408\"]\n  14 -> 23 [size =\"13073408\"]\n  14 -> 24 [size =\"13073408\"]\n  15 [size=\"119046827\", alpha=\"0.16\", expect_size=\"35714048\"] \n  15 -> 18 [size =\"35714048\"]\n  15 -> 20 [size =\"35714048\"]\n  15 -> 22 [size =\"35714048\"]\n  16 [size=\"39021227\", alpha=\"0.15\", expect_size=\"11706368\"] \n  16 -> 18 [size =\"11706368\"]\n  16 -> 22 [size =\"11706368\"]\n  17 [size=\"96808960\", alpha=\"0.03\", expect_size=\"29042688\"] \n  18 [size=\"82056533\", alpha=\"0.16\", expect_size=\"24616960\"] \n  19 [size=\"88924160\", alpha=\"0.11\", expect_size=\"26677248\"] \n  20 [size=\"100737707\", alpha=\"0.09\", expect_size=\"30221312\"] \n  21 [size=\"36495360\", alpha=\"0.17\", expect_size=\"10948608\"] \n  22 [size=\"63034027\", alpha=\"0.08\", expect_size=\"18910208\"] \n  23 [size=\"85838507\", alpha=\"0.09\", expect_size=\"25751552\"] \n  24 [size=\"25227947\", alpha=\"0.19\", expect_size=\"7568384\"] \n  25 [size=\"149258240\", alpha=\"0.19\", expect_size=\"44777472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82300928\", alpha=\"0.18\", expect_size=\"41150464\"] \n  1 -> 2 [size =\"41150464\"]\n  1 -> 3 [size =\"41150464\"]\n  2 [size=\"83824640\", alpha=\"0.18\", expect_size=\"41912320\"] \n  2 -> 4 [size =\"41912320\"]\n  3 [size=\"17391616\", alpha=\"0.10\", expect_size=\"8695808\"] \n  3 -> 4 [size =\"8695808\"]\n  4 [size=\"96067584\", alpha=\"0.01\", expect_size=\"48033792\"] \n  4 -> 5 [size =\"48033792\"]\n  4 -> 6 [size =\"48033792\"]\n  5 [size=\"38080512\", alpha=\"0.06\", expect_size=\"19040256\"] \n  5 -> 7 [size =\"19040256\"]\n  6 [size=\"93833216\", alpha=\"0.10\", expect_size=\"46916608\"] \n  7 [size=\"84606976\", alpha=\"0.16\", expect_size=\"42303488\"] \n  7 -> 8 [size =\"42303488\"]\n  8 [size=\"96114688\", alpha=\"0.16\", expect_size=\"48057344\"] \n  8 -> 9 [size =\"48057344\"]\n  8 -> 10 [size =\"48057344\"]\n  9 [size=\"24373248\", alpha=\"0.05\", expect_size=\"12186624\"] \n  9 -> 11 [size =\"12186624\"]\n  10 [size=\"64079872\", alpha=\"0.15\", expect_size=\"32039936\"] \n  10 -> 11 [size =\"32039936\"]\n  11 [size=\"42143744\", alpha=\"0.15\", expect_size=\"21071872\"] \n  11 -> 12 [size =\"21071872\"]\n  12 [size=\"33873920\", alpha=\"0.08\", expect_size=\"16936960\"] \n  12 -> 13 [size =\"16936960\"]\n  13 [size=\"23455744\", alpha=\"0.16\", expect_size=\"11727872\"] \n  13 -> 14 [size =\"11727872\"]\n  13 -> 15 [size =\"11727872\"]\n  14 [size=\"68888576\", alpha=\"0.20\", expect_size=\"34444288\"] \n  14 -> 16 [size =\"34444288\"]\n  15 [size=\"73674752\", alpha=\"0.00\", expect_size=\"36837376\"] \n  15 -> 16 [size =\"36837376\"]\n  16 [size=\"104255488\", alpha=\"0.09\", expect_size=\"52127744\"] \n  16 -> 17 [size =\"52127744\"]\n  17 [size=\"57352192\", alpha=\"0.19\", expect_size=\"28676096\"] \n  17 -> 18 [size =\"28676096\"]\n  18 [size=\"37767168\", alpha=\"0.09\", expect_size=\"18883584\"] \n  18 -> 19 [size =\"18883584\"]\n  19 [size=\"20049920\", alpha=\"0.03\", expect_size=\"10024960\"] \n  19 -> 20 [size =\"10024960\"]\n  20 [size=\"44810240\", alpha=\"0.05\", expect_size=\"22405120\"] \n  20 -> 21 [size =\"22405120\"]\n  21 [size=\"22792192\", alpha=\"0.02\", expect_size=\"11396096\"] \n  21 -> 22 [size =\"11396096\"]\n  21 -> 23 [size =\"11396096\"]\n  22 [size=\"94547968\", alpha=\"0.15\", expect_size=\"47273984\"] \n  22 -> 24 [size =\"47273984\"]\n  23 [size=\"36667392\", alpha=\"0.09\", expect_size=\"18333696\"] \n  23 -> 24 [size =\"18333696\"]\n  23 -> 25 [size =\"18333696\"]\n  24 [size=\"19998720\", alpha=\"0.01\", expect_size=\"9999360\"] \n  25 [size=\"19468288\", alpha=\"0.19\", expect_size=\"9734144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62244864\", alpha=\"0.07\", expect_size=\"31122432\"] \n  1 -> 7 [size =\"31122432\"]\n  1 -> 10 [size =\"31122432\"]\n  1 -> 12 [size =\"31122432\"]\n  1 -> 13 [size =\"31122432\"]\n  1 -> 14 [size =\"31122432\"]\n  1 -> 16 [size =\"31122432\"]\n  1 -> 17 [size =\"31122432\"]\n  2 [size=\"101380096\", alpha=\"0.04\", expect_size=\"50690048\"] \n  2 -> 7 [size =\"50690048\"]\n  2 -> 8 [size =\"50690048\"]\n  2 -> 10 [size =\"50690048\"]\n  2 -> 14 [size =\"50690048\"]\n  2 -> 15 [size =\"50690048\"]\n  2 -> 18 [size =\"50690048\"]\n  3 [size=\"96223232\", alpha=\"0.19\", expect_size=\"48111616\"] \n  3 -> 7 [size =\"48111616\"]\n  3 -> 10 [size =\"48111616\"]\n  4 [size=\"98502656\", alpha=\"0.12\", expect_size=\"49251328\"] \n  4 -> 9 [size =\"49251328\"]\n  4 -> 12 [size =\"49251328\"]\n  4 -> 15 [size =\"49251328\"]\n  4 -> 17 [size =\"49251328\"]\n  4 -> 19 [size =\"49251328\"]\n  5 [size=\"91430912\", alpha=\"0.12\", expect_size=\"45715456\"] \n  5 -> 7 [size =\"45715456\"]\n  5 -> 12 [size =\"45715456\"]\n  5 -> 14 [size =\"45715456\"]\n  5 -> 15 [size =\"45715456\"]\n  5 -> 16 [size =\"45715456\"]\n  5 -> 17 [size =\"45715456\"]\n  6 [size=\"50055168\", alpha=\"0.05\", expect_size=\"25027584\"] \n  6 -> 7 [size =\"25027584\"]\n  6 -> 11 [size =\"25027584\"]\n  6 -> 12 [size =\"25027584\"]\n  6 -> 15 [size =\"25027584\"]\n  6 -> 16 [size =\"25027584\"]\n  7 [size=\"42180608\", alpha=\"0.01\", expect_size=\"21090304\"] \n  7 -> 20 [size =\"21090304\"]\n  8 [size=\"52391936\", alpha=\"0.00\", expect_size=\"26195968\"] \n  8 -> 21 [size =\"26195968\"]\n  8 -> 23 [size =\"26195968\"]\n  8 -> 24 [size =\"26195968\"]\n  8 -> 25 [size =\"26195968\"]\n  9 [size=\"19312640\", alpha=\"0.19\", expect_size=\"9656320\"] \n  9 -> 20 [size =\"9656320\"]\n  9 -> 22 [size =\"9656320\"]\n  9 -> 23 [size =\"9656320\"]\n  9 -> 24 [size =\"9656320\"]\n  10 [size=\"99100672\", alpha=\"0.19\", expect_size=\"49550336\"] \n  10 -> 20 [size =\"49550336\"]\n  10 -> 23 [size =\"49550336\"]\n  10 -> 24 [size =\"49550336\"]\n  11 [size=\"63496192\", alpha=\"0.14\", expect_size=\"31748096\"] \n  11 -> 23 [size =\"31748096\"]\n  11 -> 24 [size =\"31748096\"]\n  11 -> 24 [size =\"31748096\"]\n  12 [size=\"94183424\", alpha=\"0.12\", expect_size=\"47091712\"] \n  12 -> 23 [size =\"47091712\"]\n  12 -> 24 [size =\"47091712\"]\n  13 [size=\"19877888\", alpha=\"0.00\", expect_size=\"9938944\"] \n  13 -> 23 [size =\"9938944\"]\n  14 [size=\"12869632\", alpha=\"0.12\", expect_size=\"6434816\"] \n  14 -> 22 [size =\"6434816\"]\n  15 [size=\"70637568\", alpha=\"0.01\", expect_size=\"35318784\"] \n  15 -> 22 [size =\"35318784\"]\n  15 -> 23 [size =\"35318784\"]\n  15 -> 24 [size =\"35318784\"]\n  16 [size=\"31193088\", alpha=\"0.05\", expect_size=\"15596544\"] \n  16 -> 22 [size =\"15596544\"]\n  16 -> 23 [size =\"15596544\"]\n  17 [size=\"56168448\", alpha=\"0.10\", expect_size=\"28084224\"] \n  17 -> 22 [size =\"28084224\"]\n  17 -> 23 [size =\"28084224\"]\n  18 [size=\"61306880\", alpha=\"0.14\", expect_size=\"30653440\"] \n  18 -> 23 [size =\"30653440\"]\n  19 [size=\"61380608\", alpha=\"0.12\", expect_size=\"30690304\"] \n  19 -> 20 [size =\"30690304\"]\n  19 -> 21 [size =\"30690304\"]\n  19 -> 24 [size =\"30690304\"]\n  20 [size=\"57985024\", alpha=\"0.15\", expect_size=\"28992512\"] \n  21 [size=\"53774336\", alpha=\"0.08\", expect_size=\"26887168\"] \n  22 [size=\"23283712\", alpha=\"0.01\", expect_size=\"11641856\"] \n  23 [size=\"79052800\", alpha=\"0.11\", expect_size=\"39526400\"] \n  24 [size=\"79644672\", alpha=\"0.01\", expect_size=\"39822336\"] \n  25 [size=\"43716608\", alpha=\"0.08\", expect_size=\"21858304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34319360\", alpha=\"0.03\", expect_size=\"13727744\"] \n  1 -> 2 [size =\"13727744\"]\n  1 -> 3 [size =\"13727744\"]\n  2 [size=\"19220480\", alpha=\"0.08\", expect_size=\"7688192\"] \n  2 -> 4 [size =\"7688192\"]\n  3 [size=\"117611520\", alpha=\"0.08\", expect_size=\"47044608\"] \n  3 -> 5 [size =\"47044608\"]\n  4 [size=\"121259520\", alpha=\"0.07\", expect_size=\"48503808\"] \n  4 -> 6 [size =\"48503808\"]\n  5 [size=\"111697920\", alpha=\"0.00\", expect_size=\"44679168\"] \n  6 [size=\"98583040\", alpha=\"0.07\", expect_size=\"39433216\"] \n  6 -> 7 [size =\"39433216\"]\n  7 [size=\"55260160\", alpha=\"0.20\", expect_size=\"22104064\"] \n  7 -> 8 [size =\"22104064\"]\n  7 -> 9 [size =\"22104064\"]\n  8 [size=\"104202240\", alpha=\"0.00\", expect_size=\"41680896\"] \n  8 -> 10 [size =\"41680896\"]\n  9 [size=\"28794880\", alpha=\"0.18\", expect_size=\"11517952\"] \n  9 -> 10 [size =\"11517952\"]\n  10 [size=\"82316800\", alpha=\"0.13\", expect_size=\"32926720\"] \n  10 -> 11 [size =\"32926720\"]\n  10 -> 12 [size =\"32926720\"]\n  11 [size=\"89052160\", alpha=\"0.05\", expect_size=\"35620864\"] \n  11 -> 13 [size =\"35620864\"]\n  12 [size=\"108771840\", alpha=\"0.19\", expect_size=\"43508736\"] \n  12 -> 13 [size =\"43508736\"]\n  13 [size=\"38323200\", alpha=\"0.10\", expect_size=\"15329280\"] \n  13 -> 14 [size =\"15329280\"]\n  14 [size=\"85135360\", alpha=\"0.13\", expect_size=\"34054144\"] \n  14 -> 15 [size =\"34054144\"]\n  15 [size=\"126062080\", alpha=\"0.18\", expect_size=\"50424832\"] \n  15 -> 16 [size =\"50424832\"]\n  16 [size=\"128230400\", alpha=\"0.08\", expect_size=\"51292160\"] \n  16 -> 17 [size =\"51292160\"]\n  17 [size=\"49766400\", alpha=\"0.00\", expect_size=\"19906560\"] \n  17 -> 18 [size =\"19906560\"]\n  17 -> 19 [size =\"19906560\"]\n  18 [size=\"49167360\", alpha=\"0.19\", expect_size=\"19666944\"] \n  18 -> 20 [size =\"19666944\"]\n  19 [size=\"49966080\", alpha=\"0.19\", expect_size=\"19986432\"] \n  19 -> 20 [size =\"19986432\"]\n  20 [size=\"37335040\", alpha=\"0.16\", expect_size=\"14934016\"] \n  20 -> 21 [size =\"14934016\"]\n  20 -> 22 [size =\"14934016\"]\n  21 [size=\"111206400\", alpha=\"0.17\", expect_size=\"44482560\"] \n  21 -> 24 [size =\"44482560\"]\n  22 [size=\"21191680\", alpha=\"0.18\", expect_size=\"8476672\"] \n  22 -> 23 [size =\"8476672\"]\n  22 -> 24 [size =\"8476672\"]\n  23 [size=\"15388160\", alpha=\"0.18\", expect_size=\"6155264\"] \n  23 -> 25 [size =\"6155264\"]\n  24 [size=\"76707840\", alpha=\"0.15\", expect_size=\"30683136\"] \n  24 -> 25 [size =\"30683136\"]\n  25 [size=\"36154880\", alpha=\"0.10\", expect_size=\"14461952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71022080\", alpha=\"0.14\", expect_size=\"28408832\"] \n  1 -> 18 [size =\"28408832\"]\n  1 -> 20 [size =\"28408832\"]\n  1 -> 25 [size =\"28408832\"]\n  2 [size=\"80424960\", alpha=\"0.15\", expect_size=\"32169984\"] \n  3 [size=\"74618880\", alpha=\"0.11\", expect_size=\"29847552\"] \n  3 -> 23 [size =\"29847552\"]\n  4 [size=\"34270720\", alpha=\"0.10\", expect_size=\"13708288\"] \n  4 -> 17 [size =\"13708288\"]\n  4 -> 18 [size =\"13708288\"]\n  4 -> 20 [size =\"13708288\"]\n  4 -> 24 [size =\"13708288\"]\n  4 -> 25 [size =\"13708288\"]\n  5 [size=\"63938560\", alpha=\"0.12\", expect_size=\"25575424\"] \n  5 -> 17 [size =\"25575424\"]\n  5 -> 18 [size =\"25575424\"]\n  5 -> 21 [size =\"25575424\"]\n  5 -> 23 [size =\"25575424\"]\n  5 -> 25 [size =\"25575424\"]\n  6 [size=\"22382080\", alpha=\"0.19\", expect_size=\"8952832\"] \n  6 -> 18 [size =\"8952832\"]\n  6 -> 20 [size =\"8952832\"]\n  6 -> 22 [size =\"8952832\"]\n  6 -> 23 [size =\"8952832\"]\n  7 [size=\"48939520\", alpha=\"0.02\", expect_size=\"19575808\"] \n  7 -> 18 [size =\"19575808\"]\n  7 -> 19 [size =\"19575808\"]\n  7 -> 21 [size =\"19575808\"]\n  7 -> 22 [size =\"19575808\"]\n  7 -> 23 [size =\"19575808\"]\n  7 -> 24 [size =\"19575808\"]\n  8 [size=\"29104640\", alpha=\"0.10\", expect_size=\"11641856\"] \n  8 -> 20 [size =\"11641856\"]\n  8 -> 23 [size =\"11641856\"]\n  9 [size=\"108124160\", alpha=\"0.16\", expect_size=\"43249664\"] \n  9 -> 18 [size =\"43249664\"]\n  9 -> 19 [size =\"43249664\"]\n  10 [size=\"67609600\", alpha=\"0.03\", expect_size=\"27043840\"] \n  10 -> 20 [size =\"27043840\"]\n  10 -> 23 [size =\"27043840\"]\n  11 [size=\"67095040\", alpha=\"0.00\", expect_size=\"26838016\"] \n  11 -> 20 [size =\"26838016\"]\n  11 -> 22 [size =\"26838016\"]\n  12 [size=\"29616640\", alpha=\"0.17\", expect_size=\"11846656\"] \n  12 -> 22 [size =\"11846656\"]\n  13 [size=\"117795840\", alpha=\"0.07\", expect_size=\"47118336\"] \n  14 [size=\"62092800\", alpha=\"0.14\", expect_size=\"24837120\"] \n  14 -> 20 [size =\"24837120\"]\n  14 -> 23 [size =\"24837120\"]\n  14 -> 24 [size =\"24837120\"]\n  15 [size=\"119449600\", alpha=\"0.10\", expect_size=\"47779840\"] \n  15 -> 22 [size =\"47779840\"]\n  15 -> 24 [size =\"47779840\"]\n  15 -> 25 [size =\"47779840\"]\n  16 [size=\"71372800\", alpha=\"0.11\", expect_size=\"28549120\"] \n  16 -> 17 [size =\"28549120\"]\n  16 -> 20 [size =\"28549120\"]\n  16 -> 23 [size =\"28549120\"]\n  16 -> 24 [size =\"28549120\"]\n  17 [size=\"63070720\", alpha=\"0.04\", expect_size=\"25228288\"] \n  18 [size=\"76505600\", alpha=\"0.11\", expect_size=\"30602240\"] \n  19 [size=\"19991040\", alpha=\"0.17\", expect_size=\"7996416\"] \n  20 [size=\"115944960\", alpha=\"0.18\", expect_size=\"46377984\"] \n  21 [size=\"14423040\", alpha=\"0.08\", expect_size=\"5769216\"] \n  22 [size=\"16640000\", alpha=\"0.11\", expect_size=\"6656000\"] \n  23 [size=\"119843840\", alpha=\"0.03\", expect_size=\"47937536\"] \n  24 [size=\"42813440\", alpha=\"0.20\", expect_size=\"17125376\"] \n  25 [size=\"126067200\", alpha=\"0.05\", expect_size=\"50426880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33378987\", alpha=\"0.01\", expect_size=\"10013696\"] \n  1 -> 17 [size =\"10013696\"]\n  1 -> 18 [size =\"10013696\"]\n  1 -> 19 [size =\"10013696\"]\n  1 -> 20 [size =\"10013696\"]\n  2 [size=\"20329813\", alpha=\"0.17\", expect_size=\"6098944\"] \n  2 -> 17 [size =\"6098944\"]\n  2 -> 19 [size =\"6098944\"]\n  3 [size=\"39410347\", alpha=\"0.01\", expect_size=\"11823104\"] \n  3 -> 17 [size =\"11823104\"]\n  3 -> 18 [size =\"11823104\"]\n  3 -> 19 [size =\"11823104\"]\n  3 -> 20 [size =\"11823104\"]\n  4 [size=\"19302400\", alpha=\"0.02\", expect_size=\"5790720\"] \n  4 -> 17 [size =\"5790720\"]\n  4 -> 18 [size =\"5790720\"]\n  4 -> 19 [size =\"5790720\"]\n  4 -> 21 [size =\"5790720\"]\n  4 -> 23 [size =\"5790720\"]\n  5 [size=\"84193280\", alpha=\"0.19\", expect_size=\"25257984\"] \n  5 -> 17 [size =\"25257984\"]\n  5 -> 18 [size =\"25257984\"]\n  5 -> 19 [size =\"25257984\"]\n  5 -> 25 [size =\"25257984\"]\n  6 [size=\"114862080\", alpha=\"0.05\", expect_size=\"34458624\"] \n  6 -> 17 [size =\"34458624\"]\n  6 -> 18 [size =\"34458624\"]\n  6 -> 19 [size =\"34458624\"]\n  7 [size=\"168901973\", alpha=\"0.11\", expect_size=\"50670592\"] \n  7 -> 17 [size =\"50670592\"]\n  7 -> 18 [size =\"50670592\"]\n  7 -> 19 [size =\"50670592\"]\n  8 [size=\"158211413\", alpha=\"0.10\", expect_size=\"47463424\"] \n  8 -> 17 [size =\"47463424\"]\n  8 -> 18 [size =\"47463424\"]\n  9 [size=\"56023040\", alpha=\"0.10\", expect_size=\"16806912\"] \n  9 -> 18 [size =\"16806912\"]\n  9 -> 19 [size =\"16806912\"]\n  9 -> 25 [size =\"16806912\"]\n  10 [size=\"35317760\", alpha=\"0.11\", expect_size=\"10595328\"] \n  10 -> 18 [size =\"10595328\"]\n  10 -> 19 [size =\"10595328\"]\n  10 -> 22 [size =\"10595328\"]\n  10 -> 24 [size =\"10595328\"]\n  10 -> 25 [size =\"10595328\"]\n  11 [size=\"165246293\", alpha=\"0.12\", expect_size=\"49573888\"] \n  11 -> 17 [size =\"49573888\"]\n  11 -> 19 [size =\"49573888\"]\n  11 -> 22 [size =\"49573888\"]\n  11 -> 25 [size =\"49573888\"]\n  12 [size=\"173953707\", alpha=\"0.03\", expect_size=\"52186112\"] \n  12 -> 17 [size =\"52186112\"]\n  12 -> 19 [size =\"52186112\"]\n  13 [size=\"149333333\", alpha=\"0.06\", expect_size=\"44800000\"] \n  13 -> 17 [size =\"44800000\"]\n  13 -> 18 [size =\"44800000\"]\n  13 -> 19 [size =\"44800000\"]\n  14 [size=\"157771093\", alpha=\"0.20\", expect_size=\"47331328\"] \n  14 -> 17 [size =\"47331328\"]\n  14 -> 19 [size =\"47331328\"]\n  15 [size=\"173165227\", alpha=\"0.04\", expect_size=\"51949568\"] \n  15 -> 17 [size =\"51949568\"]\n  15 -> 19 [size =\"51949568\"]\n  16 [size=\"167697067\", alpha=\"0.03\", expect_size=\"50309120\"] \n  16 -> 17 [size =\"50309120\"]\n  16 -> 19 [size =\"50309120\"]\n  17 [size=\"52022613\", alpha=\"0.18\", expect_size=\"15606784\"] \n  18 [size=\"135833600\", alpha=\"0.15\", expect_size=\"40750080\"] \n  19 [size=\"56449707\", alpha=\"0.09\", expect_size=\"16934912\"] \n  20 [size=\"137786027\", alpha=\"0.05\", expect_size=\"41335808\"] \n  21 [size=\"69099520\", alpha=\"0.03\", expect_size=\"20729856\"] \n  22 [size=\"161430187\", alpha=\"0.02\", expect_size=\"48429056\"] \n  23 [size=\"30900907\", alpha=\"0.03\", expect_size=\"9270272\"] \n  24 [size=\"80855040\", alpha=\"0.05\", expect_size=\"24256512\"] \n  25 [size=\"78690987\", alpha=\"0.15\", expect_size=\"23607296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26097664\", alpha=\"0.03\", expect_size=\"13048832\"] \n  1 -> 3 [size =\"13048832\"]\n  2 [size=\"104013824\", alpha=\"0.08\", expect_size=\"52006912\"] \n  3 [size=\"91095040\", alpha=\"0.16\", expect_size=\"45547520\"] \n  3 -> 4 [size =\"45547520\"]\n  4 [size=\"13422592\", alpha=\"0.08\", expect_size=\"6711296\"] \n  4 -> 5 [size =\"6711296\"]\n  4 -> 6 [size =\"6711296\"]\n  5 [size=\"19187712\", alpha=\"0.08\", expect_size=\"9593856\"] \n  6 [size=\"52461568\", alpha=\"0.11\", expect_size=\"26230784\"] \n  6 -> 7 [size =\"26230784\"]\n  7 [size=\"73496576\", alpha=\"0.19\", expect_size=\"36748288\"] \n  7 -> 8 [size =\"36748288\"]\n  7 -> 9 [size =\"36748288\"]\n  8 [size=\"80623616\", alpha=\"0.06\", expect_size=\"40311808\"] \n  8 -> 10 [size =\"40311808\"]\n  9 [size=\"103811072\", alpha=\"0.08\", expect_size=\"51905536\"] \n  10 [size=\"103942144\", alpha=\"0.08\", expect_size=\"51971072\"] \n  10 -> 11 [size =\"51971072\"]\n  11 [size=\"79415296\", alpha=\"0.12\", expect_size=\"39707648\"] \n  11 -> 12 [size =\"39707648\"]\n  12 [size=\"91658240\", alpha=\"0.11\", expect_size=\"45829120\"] \n  12 -> 13 [size =\"45829120\"]\n  13 [size=\"36904960\", alpha=\"0.17\", expect_size=\"18452480\"] \n  13 -> 14 [size =\"18452480\"]\n  14 [size=\"16050176\", alpha=\"0.20\", expect_size=\"8025088\"] \n  14 -> 15 [size =\"8025088\"]\n  15 [size=\"53567488\", alpha=\"0.02\", expect_size=\"26783744\"] \n  15 -> 16 [size =\"26783744\"]\n  16 [size=\"89260032\", alpha=\"0.19\", expect_size=\"44630016\"] \n  16 -> 17 [size =\"44630016\"]\n  17 [size=\"45869056\", alpha=\"0.16\", expect_size=\"22934528\"] \n  17 -> 18 [size =\"22934528\"]\n  17 -> 19 [size =\"22934528\"]\n  18 [size=\"39895040\", alpha=\"0.03\", expect_size=\"19947520\"] \n  19 [size=\"68501504\", alpha=\"0.08\", expect_size=\"34250752\"] \n  19 -> 20 [size =\"34250752\"]\n  20 [size=\"104183808\", alpha=\"0.01\", expect_size=\"52091904\"] \n  20 -> 21 [size =\"52091904\"]\n  21 [size=\"48099328\", alpha=\"0.17\", expect_size=\"24049664\"] \n  21 -> 22 [size =\"24049664\"]\n  22 [size=\"102959104\", alpha=\"0.13\", expect_size=\"51479552\"] \n  22 -> 23 [size =\"51479552\"]\n  23 [size=\"62105600\", alpha=\"0.06\", expect_size=\"31052800\"] \n  23 -> 24 [size =\"31052800\"]\n  23 -> 25 [size =\"31052800\"]\n  24 [size=\"47316992\", alpha=\"0.20\", expect_size=\"23658496\"] \n  25 [size=\"45400064\", alpha=\"0.15\", expect_size=\"22700032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145339733\", alpha=\"0.01\", expect_size=\"43601920\"] \n  1 -> 5 [size =\"43601920\"]\n  1 -> 6 [size =\"43601920\"]\n  2 [size=\"110926507\", alpha=\"0.03\", expect_size=\"33277952\"] \n  2 -> 4 [size =\"33277952\"]\n  2 -> 5 [size =\"33277952\"]\n  3 [size=\"150934187\", alpha=\"0.20\", expect_size=\"45280256\"] \n  3 -> 4 [size =\"45280256\"]\n  4 [size=\"153272320\", alpha=\"0.18\", expect_size=\"45981696\"] \n  4 -> 8 [size =\"45981696\"]\n  5 [size=\"105857707\", alpha=\"0.06\", expect_size=\"31757312\"] \n  5 -> 8 [size =\"31757312\"]\n  5 -> 9 [size =\"31757312\"]\n  6 [size=\"101263360\", alpha=\"0.09\", expect_size=\"30379008\"] \n  6 -> 7 [size =\"30379008\"]\n  6 -> 8 [size =\"30379008\"]\n  7 [size=\"76424533\", alpha=\"0.13\", expect_size=\"22927360\"] \n  7 -> 10 [size =\"22927360\"]\n  7 -> 11 [size =\"22927360\"]\n  7 -> 12 [size =\"22927360\"]\n  7 -> 13 [size =\"22927360\"]\n  8 [size=\"89716053\", alpha=\"0.17\", expect_size=\"26914816\"] \n  8 -> 10 [size =\"26914816\"]\n  8 -> 11 [size =\"26914816\"]\n  8 -> 12 [size =\"26914816\"]\n  8 -> 13 [size =\"26914816\"]\n  9 [size=\"142230187\", alpha=\"0.20\", expect_size=\"42669056\"] \n  10 [size=\"82350080\", alpha=\"0.12\", expect_size=\"24705024\"] \n  10 -> 15 [size =\"24705024\"]\n  11 [size=\"63829333\", alpha=\"0.05\", expect_size=\"19148800\"] \n  11 -> 14 [size =\"19148800\"]\n  11 -> 15 [size =\"19148800\"]\n  12 [size=\"73871360\", alpha=\"0.11\", expect_size=\"22161408\"] \n  12 -> 14 [size =\"22161408\"]\n  12 -> 16 [size =\"22161408\"]\n  12 -> 17 [size =\"22161408\"]\n  13 [size=\"100123307\", alpha=\"0.09\", expect_size=\"30036992\"] \n  13 -> 14 [size =\"30036992\"]\n  13 -> 17 [size =\"30036992\"]\n  14 [size=\"98884267\", alpha=\"0.18\", expect_size=\"29665280\"] \n  14 -> 20 [size =\"29665280\"]\n  14 -> 21 [size =\"29665280\"]\n  15 [size=\"85032960\", alpha=\"0.04\", expect_size=\"25509888\"] \n  15 -> 18 [size =\"25509888\"]\n  15 -> 19 [size =\"25509888\"]\n  15 -> 21 [size =\"25509888\"]\n  16 [size=\"129413120\", alpha=\"0.19\", expect_size=\"38823936\"] \n  16 -> 18 [size =\"38823936\"]\n  16 -> 19 [size =\"38823936\"]\n  16 -> 20 [size =\"38823936\"]\n  17 [size=\"41867947\", alpha=\"0.14\", expect_size=\"12560384\"] \n  17 -> 20 [size =\"12560384\"]\n  18 [size=\"146636800\", alpha=\"0.07\", expect_size=\"43991040\"] \n  18 -> 22 [size =\"43991040\"]\n  18 -> 25 [size =\"43991040\"]\n  19 [size=\"125880320\", alpha=\"0.08\", expect_size=\"37764096\"] \n  19 -> 23 [size =\"37764096\"]\n  19 -> 24 [size =\"37764096\"]\n  20 [size=\"122494293\", alpha=\"0.04\", expect_size=\"36748288\"] \n  20 -> 22 [size =\"36748288\"]\n  20 -> 23 [size =\"36748288\"]\n  20 -> 24 [size =\"36748288\"]\n  21 [size=\"58968747\", alpha=\"0.16\", expect_size=\"17690624\"] \n  21 -> 23 [size =\"17690624\"]\n  22 [size=\"99481600\", alpha=\"0.19\", expect_size=\"29844480\"] \n  23 [size=\"32201387\", alpha=\"0.20\", expect_size=\"9660416\"] \n  24 [size=\"102475093\", alpha=\"0.18\", expect_size=\"30742528\"] \n  25 [size=\"83326293\", alpha=\"0.07\", expect_size=\"24997888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51510613\", alpha=\"0.12\", expect_size=\"15453184\"] \n  2 [size=\"26907307\", alpha=\"0.08\", expect_size=\"8072192\"] \n  2 -> 22 [size =\"8072192\"]\n  2 -> 25 [size =\"8072192\"]\n  3 [size=\"139076267\", alpha=\"0.02\", expect_size=\"41722880\"] \n  3 -> 22 [size =\"41722880\"]\n  3 -> 23 [size =\"41722880\"]\n  3 -> 25 [size =\"41722880\"]\n  4 [size=\"118002347\", alpha=\"0.09\", expect_size=\"35400704\"] \n  5 [size=\"73861120\", alpha=\"0.15\", expect_size=\"22158336\"] \n  5 -> 20 [size =\"22158336\"]\n  5 -> 21 [size =\"22158336\"]\n  5 -> 22 [size =\"22158336\"]\n  5 -> 23 [size =\"22158336\"]\n  5 -> 24 [size =\"22158336\"]\n  5 -> 25 [size =\"22158336\"]\n  6 [size=\"168584533\", alpha=\"0.18\", expect_size=\"50575360\"] \n  6 -> 20 [size =\"50575360\"]\n  6 -> 21 [size =\"50575360\"]\n  6 -> 24 [size =\"50575360\"]\n  7 [size=\"89726293\", alpha=\"0.19\", expect_size=\"26917888\"] \n  7 -> 20 [size =\"26917888\"]\n  7 -> 21 [size =\"26917888\"]\n  7 -> 24 [size =\"26917888\"]\n  8 [size=\"93091840\", alpha=\"0.17\", expect_size=\"27927552\"] \n  8 -> 21 [size =\"27927552\"]\n  8 -> 22 [size =\"27927552\"]\n  8 -> 23 [size =\"27927552\"]\n  8 -> 24 [size =\"27927552\"]\n  9 [size=\"48817493\", alpha=\"0.03\", expect_size=\"14645248\"] \n  9 -> 21 [size =\"14645248\"]\n  9 -> 22 [size =\"14645248\"]\n  9 -> 23 [size =\"14645248\"]\n  9 -> 25 [size =\"14645248\"]\n  10 [size=\"142274560\", alpha=\"0.14\", expect_size=\"42682368\"] \n  10 -> 21 [size =\"42682368\"]\n  10 -> 24 [size =\"42682368\"]\n  10 -> 25 [size =\"42682368\"]\n  11 [size=\"97358507\", alpha=\"0.19\", expect_size=\"29207552\"] \n  11 -> 20 [size =\"29207552\"]\n  11 -> 25 [size =\"29207552\"]\n  12 [size=\"32853333\", alpha=\"0.02\", expect_size=\"9856000\"] \n  12 -> 22 [size =\"9856000\"]\n  12 -> 25 [size =\"9856000\"]\n  13 [size=\"96450560\", alpha=\"0.06\", expect_size=\"28935168\"] \n  13 -> 19 [size =\"28935168\"]\n  13 -> 22 [size =\"28935168\"]\n  13 -> 24 [size =\"28935168\"]\n  14 [size=\"114530987\", alpha=\"0.16\", expect_size=\"34359296\"] \n  14 -> 21 [size =\"34359296\"]\n  14 -> 22 [size =\"34359296\"]\n  14 -> 23 [size =\"34359296\"]\n  15 [size=\"28743680\", alpha=\"0.04\", expect_size=\"8623104\"] \n  15 -> 21 [size =\"8623104\"]\n  15 -> 22 [size =\"8623104\"]\n  16 [size=\"143557973\", alpha=\"0.00\", expect_size=\"43067392\"] \n  17 [size=\"126259200\", alpha=\"0.08\", expect_size=\"37877760\"] \n  17 -> 20 [size =\"37877760\"]\n  17 -> 23 [size =\"37877760\"]\n  18 [size=\"117463040\", alpha=\"0.16\", expect_size=\"35238912\"] \n  18 -> 19 [size =\"35238912\"]\n  18 -> 20 [size =\"35238912\"]\n  18 -> 21 [size =\"35238912\"]\n  19 [size=\"92409173\", alpha=\"0.08\", expect_size=\"27722752\"] \n  20 [size=\"116565333\", alpha=\"0.20\", expect_size=\"34969600\"] \n  21 [size=\"70382933\", alpha=\"0.16\", expect_size=\"21114880\"] \n  22 [size=\"65426773\", alpha=\"0.14\", expect_size=\"19628032\"] \n  23 [size=\"77349547\", alpha=\"0.07\", expect_size=\"23204864\"] \n  24 [size=\"126508373\", alpha=\"0.13\", expect_size=\"37952512\"] \n  25 [size=\"92873387\", alpha=\"0.06\", expect_size=\"27862016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141032107\", alpha=\"0.10\", expect_size=\"42309632\"] \n  1 -> 6 [size =\"42309632\"]\n  2 [size=\"117940907\", alpha=\"0.03\", expect_size=\"35382272\"] \n  2 -> 4 [size =\"35382272\"]\n  2 -> 6 [size =\"35382272\"]\n  3 [size=\"112544427\", alpha=\"0.06\", expect_size=\"33763328\"] \n  3 -> 5 [size =\"33763328\"]\n  3 -> 6 [size =\"33763328\"]\n  4 [size=\"138311680\", alpha=\"0.18\", expect_size=\"41493504\"] \n  4 -> 7 [size =\"41493504\"]\n  5 [size=\"75332267\", alpha=\"0.16\", expect_size=\"22599680\"] \n  5 -> 7 [size =\"22599680\"]\n  5 -> 8 [size =\"22599680\"]\n  5 -> 9 [size =\"22599680\"]\n  6 [size=\"24299520\", alpha=\"0.02\", expect_size=\"7289856\"] \n  6 -> 8 [size =\"7289856\"]\n  6 -> 9 [size =\"7289856\"]\n  7 [size=\"138243413\", alpha=\"0.13\", expect_size=\"41473024\"] \n  7 -> 11 [size =\"41473024\"]\n  7 -> 13 [size =\"41473024\"]\n  8 [size=\"83275093\", alpha=\"0.09\", expect_size=\"24982528\"] \n  8 -> 10 [size =\"24982528\"]\n  8 -> 11 [size =\"24982528\"]\n  8 -> 12 [size =\"24982528\"]\n  8 -> 13 [size =\"24982528\"]\n  9 [size=\"103010987\", alpha=\"0.11\", expect_size=\"30903296\"] \n  9 -> 10 [size =\"30903296\"]\n  10 [size=\"58893653\", alpha=\"0.06\", expect_size=\"17668096\"] \n  11 [size=\"166939307\", alpha=\"0.09\", expect_size=\"50081792\"] \n  11 -> 15 [size =\"50081792\"]\n  12 [size=\"86203733\", alpha=\"0.02\", expect_size=\"25861120\"] \n  12 -> 14 [size =\"25861120\"]\n  12 -> 16 [size =\"25861120\"]\n  12 -> 17 [size =\"25861120\"]\n  13 [size=\"113370453\", alpha=\"0.18\", expect_size=\"34011136\"] \n  13 -> 14 [size =\"34011136\"]\n  13 -> 15 [size =\"34011136\"]\n  13 -> 17 [size =\"34011136\"]\n  14 [size=\"158873600\", alpha=\"0.13\", expect_size=\"47662080\"] \n  15 [size=\"139506347\", alpha=\"0.17\", expect_size=\"41851904\"] \n  15 -> 18 [size =\"41851904\"]\n  15 -> 21 [size =\"41851904\"]\n  16 [size=\"108322133\", alpha=\"0.18\", expect_size=\"32496640\"] \n  16 -> 18 [size =\"32496640\"]\n  16 -> 19 [size =\"32496640\"]\n  16 -> 20 [size =\"32496640\"]\n  17 [size=\"122357760\", alpha=\"0.05\", expect_size=\"36707328\"] \n  17 -> 18 [size =\"36707328\"]\n  17 -> 19 [size =\"36707328\"]\n  17 -> 20 [size =\"36707328\"]\n  18 [size=\"65815893\", alpha=\"0.09\", expect_size=\"19744768\"] \n  18 -> 22 [size =\"19744768\"]\n  18 -> 25 [size =\"19744768\"]\n  19 [size=\"135618560\", alpha=\"0.03\", expect_size=\"40685568\"] \n  19 -> 23 [size =\"40685568\"]\n  20 [size=\"67290453\", alpha=\"0.14\", expect_size=\"20187136\"] \n  20 -> 22 [size =\"20187136\"]\n  20 -> 23 [size =\"20187136\"]\n  20 -> 25 [size =\"20187136\"]\n  21 [size=\"112114347\", alpha=\"0.01\", expect_size=\"33634304\"] \n  21 -> 23 [size =\"33634304\"]\n  21 -> 24 [size =\"33634304\"]\n  21 -> 25 [size =\"33634304\"]\n  22 [size=\"28897280\", alpha=\"0.01\", expect_size=\"8669184\"] \n  23 [size=\"43270827\", alpha=\"0.12\", expect_size=\"12981248\"] \n  24 [size=\"30600533\", alpha=\"0.20\", expect_size=\"9180160\"] \n  25 [size=\"135461547\", alpha=\"0.14\", expect_size=\"40638464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140434773\", alpha=\"0.14\", expect_size=\"42130432\"] \n  1 -> 3 [size =\"42130432\"]\n  2 [size=\"146548053\", alpha=\"0.19\", expect_size=\"43964416\"] \n  2 -> 3 [size =\"43964416\"]\n  3 [size=\"70242987\", alpha=\"0.05\", expect_size=\"21072896\"] \n  3 -> 4 [size =\"21072896\"]\n  4 [size=\"134922240\", alpha=\"0.12\", expect_size=\"40476672\"] \n  4 -> 5 [size =\"40476672\"]\n  4 -> 6 [size =\"40476672\"]\n  5 [size=\"74171733\", alpha=\"0.09\", expect_size=\"22251520\"] \n  5 -> 7 [size =\"22251520\"]\n  6 [size=\"118005760\", alpha=\"0.06\", expect_size=\"35401728\"] \n  6 -> 7 [size =\"35401728\"]\n  6 -> 8 [size =\"35401728\"]\n  7 [size=\"80018773\", alpha=\"0.04\", expect_size=\"24005632\"] \n  7 -> 9 [size =\"24005632\"]\n  8 [size=\"60743680\", alpha=\"0.18\", expect_size=\"18223104\"] \n  8 -> 9 [size =\"18223104\"]\n  9 [size=\"85855573\", alpha=\"0.07\", expect_size=\"25756672\"] \n  9 -> 10 [size =\"25756672\"]\n  9 -> 11 [size =\"25756672\"]\n  10 [size=\"40256853\", alpha=\"0.11\", expect_size=\"12077056\"] \n  10 -> 12 [size =\"12077056\"]\n  10 -> 13 [size =\"12077056\"]\n  11 [size=\"139939840\", alpha=\"0.07\", expect_size=\"41981952\"] \n  11 -> 12 [size =\"41981952\"]\n  11 -> 13 [size =\"41981952\"]\n  12 [size=\"91808427\", alpha=\"0.05\", expect_size=\"27542528\"] \n  12 -> 14 [size =\"27542528\"]\n  12 -> 15 [size =\"27542528\"]\n  13 [size=\"84210347\", alpha=\"0.16\", expect_size=\"25263104\"] \n  13 -> 15 [size =\"25263104\"]\n  14 [size=\"120289280\", alpha=\"0.07\", expect_size=\"36086784\"] \n  14 -> 16 [size =\"36086784\"]\n  14 -> 17 [size =\"36086784\"]\n  15 [size=\"58419200\", alpha=\"0.00\", expect_size=\"17525760\"] \n  15 -> 16 [size =\"17525760\"]\n  15 -> 17 [size =\"17525760\"]\n  16 [size=\"129078613\", alpha=\"0.19\", expect_size=\"38723584\"] \n  16 -> 18 [size =\"38723584\"]\n  17 [size=\"20469760\", alpha=\"0.00\", expect_size=\"6140928\"] \n  17 -> 18 [size =\"6140928\"]\n  18 [size=\"54944427\", alpha=\"0.18\", expect_size=\"16483328\"] \n  18 -> 19 [size =\"16483328\"]\n  19 [size=\"35481600\", alpha=\"0.04\", expect_size=\"10644480\"] \n  19 -> 20 [size =\"10644480\"]\n  20 [size=\"91013120\", alpha=\"0.17\", expect_size=\"27303936\"] \n  20 -> 21 [size =\"27303936\"]\n  20 -> 22 [size =\"27303936\"]\n  21 [size=\"22381227\", alpha=\"0.06\", expect_size=\"6714368\"] \n  21 -> 23 [size =\"6714368\"]\n  22 [size=\"74246827\", alpha=\"0.11\", expect_size=\"22274048\"] \n  22 -> 23 [size =\"22274048\"]\n  23 [size=\"112599040\", alpha=\"0.02\", expect_size=\"33779712\"] \n  23 -> 24 [size =\"33779712\"]\n  24 [size=\"80728747\", alpha=\"0.09\", expect_size=\"24218624\"] \n  24 -> 25 [size =\"24218624\"]\n  25 [size=\"133519360\", alpha=\"0.03\", expect_size=\"40055808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57454592\", alpha=\"0.12\", expect_size=\"28727296\"] \n  1 -> 10 [size =\"28727296\"]\n  1 -> 11 [size =\"28727296\"]\n  1 -> 13 [size =\"28727296\"]\n  1 -> 14 [size =\"28727296\"]\n  1 -> 16 [size =\"28727296\"]\n  1 -> 18 [size =\"28727296\"]\n  2 [size=\"22601728\", alpha=\"0.08\", expect_size=\"11300864\"] \n  2 -> 10 [size =\"11300864\"]\n  2 -> 11 [size =\"11300864\"]\n  2 -> 12 [size =\"11300864\"]\n  2 -> 13 [size =\"11300864\"]\n  2 -> 14 [size =\"11300864\"]\n  2 -> 15 [size =\"11300864\"]\n  3 [size=\"88088576\", alpha=\"0.05\", expect_size=\"44044288\"] \n  3 -> 10 [size =\"44044288\"]\n  3 -> 11 [size =\"44044288\"]\n  3 -> 13 [size =\"44044288\"]\n  3 -> 13 [size =\"44044288\"]\n  3 -> 14 [size =\"44044288\"]\n  3 -> 15 [size =\"44044288\"]\n  4 [size=\"83572736\", alpha=\"0.06\", expect_size=\"41786368\"] \n  4 -> 10 [size =\"41786368\"]\n  4 -> 11 [size =\"41786368\"]\n  4 -> 13 [size =\"41786368\"]\n  4 -> 14 [size =\"41786368\"]\n  4 -> 14 [size =\"41786368\"]\n  4 -> 17 [size =\"41786368\"]\n  5 [size=\"22173696\", alpha=\"0.16\", expect_size=\"11086848\"] \n  5 -> 10 [size =\"11086848\"]\n  5 -> 14 [size =\"11086848\"]\n  5 -> 15 [size =\"11086848\"]\n  6 [size=\"71395328\", alpha=\"0.09\", expect_size=\"35697664\"] \n  6 -> 15 [size =\"35697664\"]\n  6 -> 18 [size =\"35697664\"]\n  7 [size=\"11808768\", alpha=\"0.01\", expect_size=\"5904384\"] \n  7 -> 10 [size =\"5904384\"]\n  7 -> 11 [size =\"5904384\"]\n  7 -> 13 [size =\"5904384\"]\n  7 -> 14 [size =\"5904384\"]\n  7 -> 15 [size =\"5904384\"]\n  8 [size=\"57917440\", alpha=\"0.13\", expect_size=\"28958720\"] \n  8 -> 10 [size =\"28958720\"]\n  8 -> 12 [size =\"28958720\"]\n  8 -> 13 [size =\"28958720\"]\n  8 -> 15 [size =\"28958720\"]\n  9 [size=\"97038336\", alpha=\"0.20\", expect_size=\"48519168\"] \n  9 -> 10 [size =\"48519168\"]\n  9 -> 11 [size =\"48519168\"]\n  9 -> 12 [size =\"48519168\"]\n  9 -> 13 [size =\"48519168\"]\n  9 -> 15 [size =\"48519168\"]\n  9 -> 18 [size =\"48519168\"]\n  10 [size=\"95623168\", alpha=\"0.12\", expect_size=\"47811584\"] \n  10 -> 19 [size =\"47811584\"]\n  10 -> 24 [size =\"47811584\"]\n  10 -> 25 [size =\"47811584\"]\n  11 [size=\"32583680\", alpha=\"0.04\", expect_size=\"16291840\"] \n  11 -> 19 [size =\"16291840\"]\n  11 -> 22 [size =\"16291840\"]\n  11 -> 24 [size =\"16291840\"]\n  12 [size=\"89432064\", alpha=\"0.03\", expect_size=\"44716032\"] \n  12 -> 19 [size =\"44716032\"]\n  12 -> 20 [size =\"44716032\"]\n  12 -> 23 [size =\"44716032\"]\n  12 -> 24 [size =\"44716032\"]\n  13 [size=\"33538048\", alpha=\"0.17\", expect_size=\"16769024\"] \n  13 -> 19 [size =\"16769024\"]\n  13 -> 22 [size =\"16769024\"]\n  13 -> 24 [size =\"16769024\"]\n  13 -> 24 [size =\"16769024\"]\n  13 -> 25 [size =\"16769024\"]\n  14 [size=\"58834944\", alpha=\"0.13\", expect_size=\"29417472\"] \n  14 -> 19 [size =\"29417472\"]\n  14 -> 23 [size =\"29417472\"]\n  14 -> 24 [size =\"29417472\"]\n  15 [size=\"86642688\", alpha=\"0.13\", expect_size=\"43321344\"] \n  15 -> 19 [size =\"43321344\"]\n  15 -> 23 [size =\"43321344\"]\n  15 -> 25 [size =\"43321344\"]\n  16 [size=\"68214784\", alpha=\"0.03\", expect_size=\"34107392\"] \n  16 -> 19 [size =\"34107392\"]\n  17 [size=\"17152000\", alpha=\"0.00\", expect_size=\"8576000\"] \n  17 -> 19 [size =\"8576000\"]\n  17 -> 21 [size =\"8576000\"]\n  17 -> 25 [size =\"8576000\"]\n  18 [size=\"23789568\", alpha=\"0.14\", expect_size=\"11894784\"] \n  18 -> 19 [size =\"11894784\"]\n  18 -> 20 [size =\"11894784\"]\n  18 -> 22 [size =\"11894784\"]\n  18 -> 24 [size =\"11894784\"]\n  18 -> 25 [size =\"11894784\"]\n  19 [size=\"85854208\", alpha=\"0.10\", expect_size=\"42927104\"] \n  20 [size=\"83798016\", alpha=\"0.16\", expect_size=\"41899008\"] \n  21 [size=\"44296192\", alpha=\"0.13\", expect_size=\"22148096\"] \n  22 [size=\"63739904\", alpha=\"0.12\", expect_size=\"31869952\"] \n  23 [size=\"79894528\", alpha=\"0.08\", expect_size=\"39947264\"] \n  24 [size=\"65452032\", alpha=\"0.19\", expect_size=\"32726016\"] \n  25 [size=\"33099776\", alpha=\"0.13\", expect_size=\"16549888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123548160\", alpha=\"0.20\", expect_size=\"49419264\"] \n  1 -> 20 [size =\"49419264\"]\n  1 -> 22 [size =\"49419264\"]\n  1 -> 24 [size =\"49419264\"]\n  2 [size=\"18129920\", alpha=\"0.01\", expect_size=\"7251968\"] \n  2 -> 20 [size =\"7251968\"]\n  2 -> 23 [size =\"7251968\"]\n  3 [size=\"15088640\", alpha=\"0.14\", expect_size=\"6035456\"] \n  4 [size=\"82636800\", alpha=\"0.18\", expect_size=\"33054720\"] \n  4 -> 19 [size =\"33054720\"]\n  4 -> 22 [size =\"33054720\"]\n  5 [size=\"104517120\", alpha=\"0.07\", expect_size=\"41806848\"] \n  5 -> 18 [size =\"41806848\"]\n  6 [size=\"110976000\", alpha=\"0.07\", expect_size=\"44390400\"] \n  6 -> 20 [size =\"44390400\"]\n  6 -> 24 [size =\"44390400\"]\n  7 [size=\"24832000\", alpha=\"0.05\", expect_size=\"9932800\"] \n  7 -> 24 [size =\"9932800\"]\n  8 [size=\"108377600\", alpha=\"0.03\", expect_size=\"43351040\"] \n  8 -> 18 [size =\"43351040\"]\n  8 -> 25 [size =\"43351040\"]\n  9 [size=\"21552640\", alpha=\"0.19\", expect_size=\"8621056\"] \n  9 -> 20 [size =\"8621056\"]\n  10 [size=\"83847680\", alpha=\"0.05\", expect_size=\"33539072\"] \n  10 -> 18 [size =\"33539072\"]\n  10 -> 20 [size =\"33539072\"]\n  11 [size=\"75456000\", alpha=\"0.08\", expect_size=\"30182400\"] \n  12 [size=\"74554880\", alpha=\"0.05\", expect_size=\"29821952\"] \n  12 -> 25 [size =\"29821952\"]\n  13 [size=\"81062400\", alpha=\"0.05\", expect_size=\"32424960\"] \n  13 -> 18 [size =\"32424960\"]\n  13 -> 21 [size =\"32424960\"]\n  14 [size=\"45091840\", alpha=\"0.16\", expect_size=\"18036736\"] \n  14 -> 21 [size =\"18036736\"]\n  15 [size=\"35023360\", alpha=\"0.17\", expect_size=\"14009344\"] \n  15 -> 20 [size =\"14009344\"]\n  15 -> 21 [size =\"14009344\"]\n  15 -> 22 [size =\"14009344\"]\n  15 -> 25 [size =\"14009344\"]\n  16 [size=\"77209600\", alpha=\"0.18\", expect_size=\"30883840\"] \n  16 -> 22 [size =\"30883840\"]\n  17 [size=\"117176320\", alpha=\"0.10\", expect_size=\"46870528\"] \n  17 -> 18 [size =\"46870528\"]\n  17 -> 22 [size =\"46870528\"]\n  18 [size=\"29926400\", alpha=\"0.20\", expect_size=\"11970560\"] \n  19 [size=\"46906880\", alpha=\"0.06\", expect_size=\"18762752\"] \n  20 [size=\"43832320\", alpha=\"0.09\", expect_size=\"17532928\"] \n  21 [size=\"73277440\", alpha=\"0.10\", expect_size=\"29310976\"] \n  22 [size=\"119234560\", alpha=\"0.12\", expect_size=\"47693824\"] \n  23 [size=\"29854720\", alpha=\"0.15\", expect_size=\"11941888\"] \n  24 [size=\"57756160\", alpha=\"0.09\", expect_size=\"23102464\"] \n  25 [size=\"36093440\", alpha=\"0.19\", expect_size=\"14437376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38850560\", alpha=\"0.20\", expect_size=\"11655168\"] \n  1 -> 2 [size =\"11655168\"]\n  2 [size=\"112264533\", alpha=\"0.03\", expect_size=\"33679360\"] \n  2 -> 3 [size =\"33679360\"]\n  3 [size=\"19773440\", alpha=\"0.18\", expect_size=\"5932032\"] \n  3 -> 4 [size =\"5932032\"]\n  4 [size=\"49295360\", alpha=\"0.03\", expect_size=\"14788608\"] \n  4 -> 5 [size =\"14788608\"]\n  5 [size=\"156900693\", alpha=\"0.20\", expect_size=\"47070208\"] \n  5 -> 6 [size =\"47070208\"]\n  6 [size=\"90327040\", alpha=\"0.15\", expect_size=\"27098112\"] \n  6 -> 7 [size =\"27098112\"]\n  7 [size=\"48513707\", alpha=\"0.07\", expect_size=\"14554112\"] \n  7 -> 8 [size =\"14554112\"]\n  8 [size=\"170547200\", alpha=\"0.09\", expect_size=\"51164160\"] \n  8 -> 9 [size =\"51164160\"]\n  9 [size=\"61190827\", alpha=\"0.07\", expect_size=\"18357248\"] \n  9 -> 10 [size =\"18357248\"]\n  10 [size=\"52299093\", alpha=\"0.13\", expect_size=\"15689728\"] \n  10 -> 11 [size =\"15689728\"]\n  11 [size=\"115619840\", alpha=\"0.01\", expect_size=\"34685952\"] \n  11 -> 12 [size =\"34685952\"]\n  12 [size=\"113114453\", alpha=\"0.03\", expect_size=\"33934336\"] \n  12 -> 13 [size =\"33934336\"]\n  13 [size=\"139980800\", alpha=\"0.11\", expect_size=\"41994240\"] \n  13 -> 14 [size =\"41994240\"]\n  14 [size=\"124105387\", alpha=\"0.01\", expect_size=\"37231616\"] \n  14 -> 15 [size =\"37231616\"]\n  15 [size=\"150241280\", alpha=\"0.01\", expect_size=\"45072384\"] \n  15 -> 16 [size =\"45072384\"]\n  16 [size=\"148671147\", alpha=\"0.10\", expect_size=\"44601344\"] \n  16 -> 17 [size =\"44601344\"]\n  17 [size=\"107755520\", alpha=\"0.03\", expect_size=\"32326656\"] \n  17 -> 18 [size =\"32326656\"]\n  18 [size=\"160515413\", alpha=\"0.12\", expect_size=\"48154624\"] \n  18 -> 19 [size =\"48154624\"]\n  19 [size=\"73400320\", alpha=\"0.11\", expect_size=\"22020096\"] \n  19 -> 20 [size =\"22020096\"]\n  20 [size=\"129310720\", alpha=\"0.14\", expect_size=\"38793216\"] \n  20 -> 21 [size =\"38793216\"]\n  21 [size=\"74557440\", alpha=\"0.19\", expect_size=\"22367232\"] \n  21 -> 22 [size =\"22367232\"]\n  22 [size=\"85804373\", alpha=\"0.16\", expect_size=\"25741312\"] \n  22 -> 23 [size =\"25741312\"]\n  23 [size=\"111274667\", alpha=\"0.13\", expect_size=\"33382400\"] \n  23 -> 24 [size =\"33382400\"]\n  24 [size=\"43499520\", alpha=\"0.15\", expect_size=\"13049856\"] \n  24 -> 25 [size =\"13049856\"]\n  25 [size=\"53695147\", alpha=\"0.14\", expect_size=\"16108544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61711360\", alpha=\"0.05\", expect_size=\"24684544\"] \n  2 [size=\"39441920\", alpha=\"0.11\", expect_size=\"15776768\"] \n  2 -> 3 [size =\"15776768\"]\n  3 [size=\"61652480\", alpha=\"0.10\", expect_size=\"24660992\"] \n  3 -> 4 [size =\"24660992\"]\n  4 [size=\"35217920\", alpha=\"0.14\", expect_size=\"14087168\"] \n  4 -> 5 [size =\"14087168\"]\n  4 -> 6 [size =\"14087168\"]\n  5 [size=\"113584640\", alpha=\"0.19\", expect_size=\"45433856\"] \n  6 [size=\"118195200\", alpha=\"0.07\", expect_size=\"47278080\"] \n  6 -> 7 [size =\"47278080\"]\n  7 [size=\"57029120\", alpha=\"0.09\", expect_size=\"22811648\"] \n  7 -> 8 [size =\"22811648\"]\n  8 [size=\"71738880\", alpha=\"0.14\", expect_size=\"28695552\"] \n  8 -> 9 [size =\"28695552\"]\n  9 [size=\"120064000\", alpha=\"0.04\", expect_size=\"48025600\"] \n  9 -> 10 [size =\"48025600\"]\n  10 [size=\"32066560\", alpha=\"0.18\", expect_size=\"12826624\"] \n  10 -> 11 [size =\"12826624\"]\n  11 [size=\"14781440\", alpha=\"0.11\", expect_size=\"5912576\"] \n  11 -> 12 [size =\"5912576\"]\n  11 -> 13 [size =\"5912576\"]\n  12 [size=\"42928640\", alpha=\"0.14\", expect_size=\"17171456\"] \n  12 -> 14 [size =\"17171456\"]\n  13 [size=\"107023360\", alpha=\"0.16\", expect_size=\"42809344\"] \n  14 [size=\"46077440\", alpha=\"0.19\", expect_size=\"18430976\"] \n  14 -> 15 [size =\"18430976\"]\n  15 [size=\"130769920\", alpha=\"0.02\", expect_size=\"52307968\"] \n  15 -> 16 [size =\"52307968\"]\n  15 -> 17 [size =\"52307968\"]\n  16 [size=\"127339520\", alpha=\"0.20\", expect_size=\"50935808\"] \n  16 -> 18 [size =\"50935808\"]\n  16 -> 19 [size =\"50935808\"]\n  17 [size=\"48153600\", alpha=\"0.19\", expect_size=\"19261440\"] \n  18 [size=\"103677440\", alpha=\"0.12\", expect_size=\"41470976\"] \n  19 [size=\"65994240\", alpha=\"0.02\", expect_size=\"26397696\"] \n  19 -> 20 [size =\"26397696\"]\n  20 [size=\"88826880\", alpha=\"0.02\", expect_size=\"35530752\"] \n  20 -> 21 [size =\"35530752\"]\n  21 [size=\"77964800\", alpha=\"0.09\", expect_size=\"31185920\"] \n  21 -> 22 [size =\"31185920\"]\n  21 -> 23 [size =\"31185920\"]\n  22 [size=\"26332160\", alpha=\"0.01\", expect_size=\"10532864\"] \n  22 -> 24 [size =\"10532864\"]\n  22 -> 25 [size =\"10532864\"]\n  23 [size=\"111063040\", alpha=\"0.02\", expect_size=\"44425216\"] \n  24 [size=\"88465920\", alpha=\"0.06\", expect_size=\"35386368\"] \n  25 [size=\"82823680\", alpha=\"0.07\", expect_size=\"33129472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71727104\", alpha=\"0.05\", expect_size=\"35863552\"] \n  1 -> 23 [size =\"35863552\"]\n  2 [size=\"50923520\", alpha=\"0.05\", expect_size=\"25461760\"] \n  2 -> 25 [size =\"25461760\"]\n  3 [size=\"33320960\", alpha=\"0.15\", expect_size=\"16660480\"] \n  3 -> 24 [size =\"16660480\"]\n  4 [size=\"80402432\", alpha=\"0.02\", expect_size=\"40201216\"] \n  4 -> 21 [size =\"40201216\"]\n  4 -> 23 [size =\"40201216\"]\n  5 [size=\"80879616\", alpha=\"0.12\", expect_size=\"40439808\"] \n  5 -> 21 [size =\"40439808\"]\n  5 -> 24 [size =\"40439808\"]\n  6 [size=\"47495168\", alpha=\"0.20\", expect_size=\"23747584\"] \n  6 -> 22 [size =\"23747584\"]\n  6 -> 24 [size =\"23747584\"]\n  7 [size=\"94969856\", alpha=\"0.11\", expect_size=\"47484928\"] \n  7 -> 22 [size =\"47484928\"]\n  7 -> 25 [size =\"47484928\"]\n  8 [size=\"85938176\", alpha=\"0.11\", expect_size=\"42969088\"] \n  8 -> 22 [size =\"42969088\"]\n  8 -> 25 [size =\"42969088\"]\n  9 [size=\"97228800\", alpha=\"0.07\", expect_size=\"48614400\"] \n  9 -> 22 [size =\"48614400\"]\n  9 -> 25 [size =\"48614400\"]\n  10 [size=\"92090368\", alpha=\"0.01\", expect_size=\"46045184\"] \n  10 -> 22 [size =\"46045184\"]\n  10 -> 25 [size =\"46045184\"]\n  11 [size=\"52678656\", alpha=\"0.10\", expect_size=\"26339328\"] \n  11 -> 23 [size =\"26339328\"]\n  12 [size=\"74360832\", alpha=\"0.05\", expect_size=\"37180416\"] \n  12 -> 22 [size =\"37180416\"]\n  13 [size=\"96686080\", alpha=\"0.12\", expect_size=\"48343040\"] \n  13 -> 22 [size =\"48343040\"]\n  13 -> 24 [size =\"48343040\"]\n  14 [size=\"71610368\", alpha=\"0.06\", expect_size=\"35805184\"] \n  14 -> 21 [size =\"35805184\"]\n  14 -> 24 [size =\"35805184\"]\n  14 -> 25 [size =\"35805184\"]\n  15 [size=\"83228672\", alpha=\"0.14\", expect_size=\"41614336\"] \n  15 -> 24 [size =\"41614336\"]\n  16 [size=\"44105728\", alpha=\"0.10\", expect_size=\"22052864\"] \n  17 [size=\"42936320\", alpha=\"0.17\", expect_size=\"21468160\"] \n  17 -> 21 [size =\"21468160\"]\n  17 -> 22 [size =\"21468160\"]\n  18 [size=\"97026048\", alpha=\"0.14\", expect_size=\"48513024\"] \n  18 -> 21 [size =\"48513024\"]\n  18 -> 22 [size =\"48513024\"]\n  18 -> 25 [size =\"48513024\"]\n  19 [size=\"55762944\", alpha=\"0.16\", expect_size=\"27881472\"] \n  19 -> 21 [size =\"27881472\"]\n  20 [size=\"88391680\", alpha=\"0.19\", expect_size=\"44195840\"] \n  20 -> 22 [size =\"44195840\"]\n  21 [size=\"93583360\", alpha=\"0.14\", expect_size=\"46791680\"] \n  22 [size=\"44093440\", alpha=\"0.17\", expect_size=\"22046720\"] \n  23 [size=\"69834752\", alpha=\"0.06\", expect_size=\"34917376\"] \n  24 [size=\"32673792\", alpha=\"0.09\", expect_size=\"16336896\"] \n  25 [size=\"60254208\", alpha=\"0.08\", expect_size=\"30127104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42127360\", alpha=\"0.00\", expect_size=\"21063680\"] \n  1 -> 7 [size =\"21063680\"]\n  2 [size=\"35373056\", alpha=\"0.10\", expect_size=\"17686528\"] \n  2 -> 6 [size =\"17686528\"]\n  2 -> 8 [size =\"17686528\"]\n  3 [size=\"33075200\", alpha=\"0.06\", expect_size=\"16537600\"] \n  3 -> 6 [size =\"16537600\"]\n  3 -> 8 [size =\"16537600\"]\n  4 [size=\"54274048\", alpha=\"0.04\", expect_size=\"27137024\"] \n  4 -> 8 [size =\"27137024\"]\n  5 [size=\"41607168\", alpha=\"0.09\", expect_size=\"20803584\"] \n  5 -> 6 [size =\"20803584\"]\n  5 -> 7 [size =\"20803584\"]\n  6 [size=\"10582016\", alpha=\"0.07\", expect_size=\"5291008\"] \n  6 -> 9 [size =\"5291008\"]\n  6 -> 10 [size =\"5291008\"]\n  6 -> 11 [size =\"5291008\"]\n  7 [size=\"62208000\", alpha=\"0.10\", expect_size=\"31104000\"] \n  8 [size=\"63588352\", alpha=\"0.17\", expect_size=\"31794176\"] \n  8 -> 10 [size =\"31794176\"]\n  9 [size=\"57186304\", alpha=\"0.03\", expect_size=\"28593152\"] \n  9 -> 15 [size =\"28593152\"]\n  10 [size=\"16414720\", alpha=\"0.10\", expect_size=\"8207360\"] \n  10 -> 14 [size =\"8207360\"]\n  11 [size=\"66211840\", alpha=\"0.07\", expect_size=\"33105920\"] \n  11 -> 12 [size =\"33105920\"]\n  11 -> 13 [size =\"33105920\"]\n  11 -> 15 [size =\"33105920\"]\n  12 [size=\"67416064\", alpha=\"0.09\", expect_size=\"33708032\"] \n  12 -> 16 [size =\"33708032\"]\n  12 -> 17 [size =\"33708032\"]\n  12 -> 18 [size =\"33708032\"]\n  13 [size=\"20258816\", alpha=\"0.04\", expect_size=\"10129408\"] \n  14 [size=\"50360320\", alpha=\"0.02\", expect_size=\"25180160\"] \n  14 -> 19 [size =\"25180160\"]\n  15 [size=\"70426624\", alpha=\"0.03\", expect_size=\"35213312\"] \n  15 -> 16 [size =\"35213312\"]\n  15 -> 18 [size =\"35213312\"]\n  16 [size=\"20709376\", alpha=\"0.15\", expect_size=\"10354688\"] \n  17 [size=\"55537664\", alpha=\"0.12\", expect_size=\"27768832\"] \n  17 -> 22 [size =\"27768832\"]\n  18 [size=\"104218624\", alpha=\"0.12\", expect_size=\"52109312\"] \n  18 -> 20 [size =\"52109312\"]\n  18 -> 21 [size =\"52109312\"]\n  19 [size=\"92020736\", alpha=\"0.01\", expect_size=\"46010368\"] \n  19 -> 22 [size =\"46010368\"]\n  20 [size=\"104316928\", alpha=\"0.02\", expect_size=\"52158464\"] \n  20 -> 23 [size =\"52158464\"]\n  21 [size=\"57769984\", alpha=\"0.09\", expect_size=\"28884992\"] \n  21 -> 23 [size =\"28884992\"]\n  21 -> 24 [size =\"28884992\"]\n  22 [size=\"92432384\", alpha=\"0.02\", expect_size=\"46216192\"] \n  22 -> 24 [size =\"46216192\"]\n  22 -> 25 [size =\"46216192\"]\n  23 [size=\"39680000\", alpha=\"0.20\", expect_size=\"19840000\"] \n  24 [size=\"56766464\", alpha=\"0.06\", expect_size=\"28383232\"] \n  25 [size=\"67604480\", alpha=\"0.20\", expect_size=\"33802240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169977173\", alpha=\"0.16\", expect_size=\"50993152\"] \n  1 -> 4 [size =\"50993152\"]\n  1 -> 7 [size =\"50993152\"]\n  2 [size=\"79643307\", alpha=\"0.07\", expect_size=\"23892992\"] \n  2 -> 6 [size =\"23892992\"]\n  3 [size=\"52162560\", alpha=\"0.06\", expect_size=\"15648768\"] \n  3 -> 5 [size =\"15648768\"]\n  3 -> 7 [size =\"15648768\"]\n  4 [size=\"168331947\", alpha=\"0.03\", expect_size=\"50499584\"] \n  4 -> 8 [size =\"50499584\"]\n  4 -> 10 [size =\"50499584\"]\n  5 [size=\"48401067\", alpha=\"0.08\", expect_size=\"14520320\"] \n  5 -> 9 [size =\"14520320\"]\n  6 [size=\"64419840\", alpha=\"0.00\", expect_size=\"19325952\"] \n  6 -> 9 [size =\"19325952\"]\n  7 [size=\"139492693\", alpha=\"0.15\", expect_size=\"41847808\"] \n  7 -> 10 [size =\"41847808\"]\n  8 [size=\"39700480\", alpha=\"0.18\", expect_size=\"11910144\"] \n  9 [size=\"155962027\", alpha=\"0.02\", expect_size=\"46788608\"] \n  9 -> 11 [size =\"46788608\"]\n  9 -> 12 [size =\"46788608\"]\n  9 -> 13 [size =\"46788608\"]\n  10 [size=\"72806400\", alpha=\"0.07\", expect_size=\"21841920\"] \n  10 -> 11 [size =\"21841920\"]\n  10 -> 12 [size =\"21841920\"]\n  11 [size=\"139386880\", alpha=\"0.00\", expect_size=\"41816064\"] \n  11 -> 15 [size =\"41816064\"]\n  11 -> 16 [size =\"41816064\"]\n  12 [size=\"104813227\", alpha=\"0.16\", expect_size=\"31443968\"] \n  12 -> 15 [size =\"31443968\"]\n  12 -> 16 [size =\"31443968\"]\n  13 [size=\"158279680\", alpha=\"0.11\", expect_size=\"47483904\"] \n  13 -> 14 [size =\"47483904\"]\n  14 [size=\"51899733\", alpha=\"0.13\", expect_size=\"15569920\"] \n  14 -> 19 [size =\"15569920\"]\n  15 [size=\"75366400\", alpha=\"0.15\", expect_size=\"22609920\"] \n  15 -> 17 [size =\"22609920\"]\n  15 -> 18 [size =\"22609920\"]\n  16 [size=\"138523307\", alpha=\"0.11\", expect_size=\"41556992\"] \n  17 [size=\"138618880\", alpha=\"0.09\", expect_size=\"41585664\"] \n  17 -> 20 [size =\"41585664\"]\n  18 [size=\"97798827\", alpha=\"0.11\", expect_size=\"29339648\"] \n  18 -> 21 [size =\"29339648\"]\n  19 [size=\"80168960\", alpha=\"0.00\", expect_size=\"24050688\"] \n  19 -> 20 [size =\"24050688\"]\n  19 -> 22 [size =\"24050688\"]\n  20 [size=\"95010133\", alpha=\"0.16\", expect_size=\"28503040\"] \n  20 -> 24 [size =\"28503040\"]\n  21 [size=\"148800853\", alpha=\"0.11\", expect_size=\"44640256\"] \n  21 -> 23 [size =\"44640256\"]\n  21 -> 25 [size =\"44640256\"]\n  22 [size=\"152210773\", alpha=\"0.13\", expect_size=\"45663232\"] \n  22 -> 23 [size =\"45663232\"]\n  22 -> 25 [size =\"45663232\"]\n  23 [size=\"124166827\", alpha=\"0.01\", expect_size=\"37250048\"] \n  24 [size=\"54425600\", alpha=\"0.07\", expect_size=\"16327680\"] \n  25 [size=\"156938240\", alpha=\"0.17\", expect_size=\"47081472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58181632\", alpha=\"0.17\", expect_size=\"29090816\"] \n  1 -> 4 [size =\"29090816\"]\n  1 -> 7 [size =\"29090816\"]\n  2 [size=\"37816320\", alpha=\"0.02\", expect_size=\"18908160\"] \n  2 -> 4 [size =\"18908160\"]\n  2 -> 5 [size =\"18908160\"]\n  2 -> 6 [size =\"18908160\"]\n  3 [size=\"51267584\", alpha=\"0.13\", expect_size=\"25633792\"] \n  3 -> 4 [size =\"25633792\"]\n  3 -> 5 [size =\"25633792\"]\n  3 -> 6 [size =\"25633792\"]\n  3 -> 7 [size =\"25633792\"]\n  4 [size=\"26843136\", alpha=\"0.19\", expect_size=\"13421568\"] \n  4 -> 8 [size =\"13421568\"]\n  4 -> 11 [size =\"13421568\"]\n  4 -> 12 [size =\"13421568\"]\n  5 [size=\"100773888\", alpha=\"0.13\", expect_size=\"50386944\"] \n  5 -> 8 [size =\"50386944\"]\n  5 -> 10 [size =\"50386944\"]\n  5 -> 11 [size =\"50386944\"]\n  6 [size=\"84844544\", alpha=\"0.05\", expect_size=\"42422272\"] \n  6 -> 8 [size =\"42422272\"]\n  6 -> 9 [size =\"42422272\"]\n  6 -> 10 [size =\"42422272\"]\n  6 -> 12 [size =\"42422272\"]\n  7 [size=\"51658752\", alpha=\"0.15\", expect_size=\"25829376\"] \n  7 -> 10 [size =\"25829376\"]\n  7 -> 11 [size =\"25829376\"]\n  7 -> 12 [size =\"25829376\"]\n  8 [size=\"48064512\", alpha=\"0.16\", expect_size=\"24032256\"] \n  9 [size=\"81934336\", alpha=\"0.15\", expect_size=\"40967168\"] \n  10 [size=\"19685376\", alpha=\"0.10\", expect_size=\"9842688\"] \n  10 -> 14 [size =\"9842688\"]\n  10 -> 15 [size =\"9842688\"]\n  11 [size=\"16119808\", alpha=\"0.02\", expect_size=\"8059904\"] \n  11 -> 13 [size =\"8059904\"]\n  12 [size=\"95406080\", alpha=\"0.06\", expect_size=\"47703040\"] \n  12 -> 15 [size =\"47703040\"]\n  13 [size=\"104101888\", alpha=\"0.10\", expect_size=\"52050944\"] \n  13 -> 16 [size =\"52050944\"]\n  14 [size=\"70285312\", alpha=\"0.19\", expect_size=\"35142656\"] \n  14 -> 18 [size =\"35142656\"]\n  15 [size=\"67162112\", alpha=\"0.16\", expect_size=\"33581056\"] \n  15 -> 16 [size =\"33581056\"]\n  15 -> 17 [size =\"33581056\"]\n  15 -> 18 [size =\"33581056\"]\n  16 [size=\"35848192\", alpha=\"0.16\", expect_size=\"17924096\"] \n  16 -> 20 [size =\"17924096\"]\n  16 -> 21 [size =\"17924096\"]\n  16 -> 22 [size =\"17924096\"]\n  16 -> 23 [size =\"17924096\"]\n  17 [size=\"60532736\", alpha=\"0.10\", expect_size=\"30266368\"] \n  17 -> 19 [size =\"30266368\"]\n  17 -> 20 [size =\"30266368\"]\n  17 -> 22 [size =\"30266368\"]\n  18 [size=\"38559744\", alpha=\"0.14\", expect_size=\"19279872\"] \n  19 [size=\"19537920\", alpha=\"0.10\", expect_size=\"9768960\"] \n  20 [size=\"91412480\", alpha=\"0.13\", expect_size=\"45706240\"] \n  20 -> 24 [size =\"45706240\"]\n  21 [size=\"45463552\", alpha=\"0.06\", expect_size=\"22731776\"] \n  21 -> 24 [size =\"22731776\"]\n  21 -> 25 [size =\"22731776\"]\n  22 [size=\"53553152\", alpha=\"0.04\", expect_size=\"26776576\"] \n  22 -> 25 [size =\"26776576\"]\n  23 [size=\"81420288\", alpha=\"0.12\", expect_size=\"40710144\"] \n  24 [size=\"33075200\", alpha=\"0.02\", expect_size=\"16537600\"] \n  25 [size=\"29476864\", alpha=\"0.12\", expect_size=\"14738432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14729216\", alpha=\"0.07\", expect_size=\"7364608\"] \n  1 -> 2 [size =\"7364608\"]\n  2 [size=\"85088256\", alpha=\"0.16\", expect_size=\"42544128\"] \n  2 -> 3 [size =\"42544128\"]\n  2 -> 4 [size =\"42544128\"]\n  3 [size=\"29894656\", alpha=\"0.15\", expect_size=\"14947328\"] \n  3 -> 5 [size =\"14947328\"]\n  4 [size=\"96307200\", alpha=\"0.14\", expect_size=\"48153600\"] \n  4 -> 5 [size =\"48153600\"]\n  4 -> 6 [size =\"48153600\"]\n  5 [size=\"19986432\", alpha=\"0.01\", expect_size=\"9993216\"] \n  5 -> 7 [size =\"9993216\"]\n  5 -> 8 [size =\"9993216\"]\n  6 [size=\"27449344\", alpha=\"0.13\", expect_size=\"13724672\"] \n  6 -> 8 [size =\"13724672\"]\n  7 [size=\"26009600\", alpha=\"0.06\", expect_size=\"13004800\"] \n  7 -> 9 [size =\"13004800\"]\n  7 -> 10 [size =\"13004800\"]\n  8 [size=\"43870208\", alpha=\"0.10\", expect_size=\"21935104\"] \n  8 -> 9 [size =\"21935104\"]\n  8 -> 10 [size =\"21935104\"]\n  9 [size=\"45338624\", alpha=\"0.01\", expect_size=\"22669312\"] \n  9 -> 11 [size =\"22669312\"]\n  10 [size=\"83283968\", alpha=\"0.15\", expect_size=\"41641984\"] \n  10 -> 11 [size =\"41641984\"]\n  11 [size=\"89868288\", alpha=\"0.15\", expect_size=\"44934144\"] \n  11 -> 12 [size =\"44934144\"]\n  11 -> 13 [size =\"44934144\"]\n  12 [size=\"29853696\", alpha=\"0.15\", expect_size=\"14926848\"] \n  12 -> 14 [size =\"14926848\"]\n  13 [size=\"104372224\", alpha=\"0.10\", expect_size=\"52186112\"] \n  13 -> 14 [size =\"52186112\"]\n  14 [size=\"79497216\", alpha=\"0.02\", expect_size=\"39748608\"] \n  14 -> 15 [size =\"39748608\"]\n  15 [size=\"49012736\", alpha=\"0.00\", expect_size=\"24506368\"] \n  15 -> 16 [size =\"24506368\"]\n  15 -> 17 [size =\"24506368\"]\n  16 [size=\"54011904\", alpha=\"0.06\", expect_size=\"27005952\"] \n  16 -> 18 [size =\"27005952\"]\n  16 -> 19 [size =\"27005952\"]\n  17 [size=\"18700288\", alpha=\"0.05\", expect_size=\"9350144\"] \n  17 -> 18 [size =\"9350144\"]\n  17 -> 19 [size =\"9350144\"]\n  18 [size=\"49283072\", alpha=\"0.17\", expect_size=\"24641536\"] \n  18 -> 20 [size =\"24641536\"]\n  19 [size=\"97771520\", alpha=\"0.05\", expect_size=\"48885760\"] \n  19 -> 20 [size =\"48885760\"]\n  20 [size=\"102905856\", alpha=\"0.04\", expect_size=\"51452928\"] \n  20 -> 21 [size =\"51452928\"]\n  20 -> 22 [size =\"51452928\"]\n  21 [size=\"78237696\", alpha=\"0.04\", expect_size=\"39118848\"] \n  21 -> 23 [size =\"39118848\"]\n  22 [size=\"54775808\", alpha=\"0.19\", expect_size=\"27387904\"] \n  22 -> 23 [size =\"27387904\"]\n  22 -> 24 [size =\"27387904\"]\n  23 [size=\"29605888\", alpha=\"0.19\", expect_size=\"14802944\"] \n  23 -> 25 [size =\"14802944\"]\n  24 [size=\"77828096\", alpha=\"0.17\", expect_size=\"38914048\"] \n  24 -> 25 [size =\"38914048\"]\n  25 [size=\"89088000\", alpha=\"0.16\", expect_size=\"44544000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143172267\", alpha=\"0.07\", expect_size=\"42951680\"] \n  1 -> 5 [size =\"42951680\"]\n  1 -> 7 [size =\"42951680\"]\n  1 -> 7 [size =\"42951680\"]\n  2 [size=\"74547200\", alpha=\"0.13\", expect_size=\"22364160\"] \n  2 -> 5 [size =\"22364160\"]\n  3 [size=\"122217813\", alpha=\"0.08\", expect_size=\"36665344\"] \n  3 -> 5 [size =\"36665344\"]\n  3 -> 6 [size =\"36665344\"]\n  3 -> 7 [size =\"36665344\"]\n  4 [size=\"23760213\", alpha=\"0.02\", expect_size=\"7128064\"] \n  4 -> 5 [size =\"7128064\"]\n  4 -> 6 [size =\"7128064\"]\n  4 -> 7 [size =\"7128064\"]\n  5 [size=\"115831467\", alpha=\"0.12\", expect_size=\"34749440\"] \n  5 -> 8 [size =\"34749440\"]\n  5 -> 10 [size =\"34749440\"]\n  5 -> 11 [size =\"34749440\"]\n  6 [size=\"99085653\", alpha=\"0.17\", expect_size=\"29725696\"] \n  6 -> 8 [size =\"29725696\"]\n  6 -> 10 [size =\"29725696\"]\n  6 -> 11 [size =\"29725696\"]\n  7 [size=\"21715627\", alpha=\"0.06\", expect_size=\"6514688\"] \n  7 -> 9 [size =\"6514688\"]\n  7 -> 10 [size =\"6514688\"]\n  7 -> 11 [size =\"6514688\"]\n  8 [size=\"19920213\", alpha=\"0.01\", expect_size=\"5976064\"] \n  8 -> 13 [size =\"5976064\"]\n  8 -> 15 [size =\"5976064\"]\n  9 [size=\"53865813\", alpha=\"0.14\", expect_size=\"16159744\"] \n  9 -> 15 [size =\"16159744\"]\n  10 [size=\"65375573\", alpha=\"0.02\", expect_size=\"19612672\"] \n  10 -> 13 [size =\"19612672\"]\n  10 -> 15 [size =\"19612672\"]\n  11 [size=\"173981013\", alpha=\"0.16\", expect_size=\"52194304\"] \n  11 -> 12 [size =\"52194304\"]\n  11 -> 13 [size =\"52194304\"]\n  11 -> 14 [size =\"52194304\"]\n  11 -> 15 [size =\"52194304\"]\n  12 [size=\"69102933\", alpha=\"0.10\", expect_size=\"20730880\"] \n  12 -> 16 [size =\"20730880\"]\n  12 -> 17 [size =\"20730880\"]\n  13 [size=\"170673493\", alpha=\"0.09\", expect_size=\"51202048\"] \n  13 -> 17 [size =\"51202048\"]\n  14 [size=\"77441707\", alpha=\"0.04\", expect_size=\"23232512\"] \n  14 -> 16 [size =\"23232512\"]\n  14 -> 17 [size =\"23232512\"]\n  15 [size=\"95156907\", alpha=\"0.02\", expect_size=\"28547072\"] \n  15 -> 16 [size =\"28547072\"]\n  15 -> 17 [size =\"28547072\"]\n  16 [size=\"33648640\", alpha=\"0.16\", expect_size=\"10094592\"] \n  16 -> 18 [size =\"10094592\"]\n  16 -> 19 [size =\"10094592\"]\n  16 -> 20 [size =\"10094592\"]\n  16 -> 21 [size =\"10094592\"]\n  17 [size=\"169632427\", alpha=\"0.17\", expect_size=\"50889728\"] \n  17 -> 21 [size =\"50889728\"]\n  18 [size=\"56517973\", alpha=\"0.13\", expect_size=\"16955392\"] \n  18 -> 22 [size =\"16955392\"]\n  18 -> 23 [size =\"16955392\"]\n  18 -> 24 [size =\"16955392\"]\n  19 [size=\"68283733\", alpha=\"0.02\", expect_size=\"20485120\"] \n  19 -> 22 [size =\"20485120\"]\n  19 -> 23 [size =\"20485120\"]\n  19 -> 24 [size =\"20485120\"]\n  20 [size=\"20684800\", alpha=\"0.03\", expect_size=\"6205440\"] \n  20 -> 22 [size =\"6205440\"]\n  20 -> 23 [size =\"6205440\"]\n  20 -> 24 [size =\"6205440\"]\n  21 [size=\"37317973\", alpha=\"0.01\", expect_size=\"11195392\"] \n  21 -> 22 [size =\"11195392\"]\n  21 -> 23 [size =\"11195392\"]\n  21 -> 24 [size =\"11195392\"]\n  22 [size=\"161109333\", alpha=\"0.06\", expect_size=\"48332800\"] \n  22 -> 25 [size =\"48332800\"]\n  23 [size=\"80486400\", alpha=\"0.05\", expect_size=\"24145920\"] \n  23 -> 25 [size =\"24145920\"]\n  24 [size=\"154613760\", alpha=\"0.04\", expect_size=\"46384128\"] \n  25 [size=\"31259307\", alpha=\"0.15\", expect_size=\"9377792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103810560\", alpha=\"0.02\", expect_size=\"41524224\"] \n  1 -> 13 [size =\"41524224\"]\n  1 -> 14 [size =\"41524224\"]\n  2 [size=\"29342720\", alpha=\"0.18\", expect_size=\"11737088\"] \n  2 -> 10 [size =\"11737088\"]\n  3 [size=\"55475200\", alpha=\"0.04\", expect_size=\"22190080\"] \n  3 -> 14 [size =\"22190080\"]\n  4 [size=\"14638080\", alpha=\"0.03\", expect_size=\"5855232\"] \n  5 [size=\"121021440\", alpha=\"0.12\", expect_size=\"48408576\"] \n  5 -> 15 [size =\"48408576\"]\n  6 [size=\"89139200\", alpha=\"0.06\", expect_size=\"35655680\"] \n  6 -> 12 [size =\"35655680\"]\n  7 [size=\"14919680\", alpha=\"0.05\", expect_size=\"5967872\"] \n  7 -> 10 [size =\"5967872\"]\n  8 [size=\"91548160\", alpha=\"0.09\", expect_size=\"36619264\"] \n  8 -> 10 [size =\"36619264\"]\n  8 -> 11 [size =\"36619264\"]\n  8 -> 12 [size =\"36619264\"]\n  9 [size=\"127610880\", alpha=\"0.03\", expect_size=\"51044352\"] \n  9 -> 13 [size =\"51044352\"]\n  10 [size=\"16704000\", alpha=\"0.04\", expect_size=\"6681600\"] \n  10 -> 21 [size =\"6681600\"]\n  10 -> 24 [size =\"6681600\"]\n  11 [size=\"109342720\", alpha=\"0.13\", expect_size=\"43737088\"] \n  11 -> 18 [size =\"43737088\"]\n  11 -> 20 [size =\"43737088\"]\n  11 -> 21 [size =\"43737088\"]\n  11 -> 22 [size =\"43737088\"]\n  11 -> 23 [size =\"43737088\"]\n  12 [size=\"119232000\", alpha=\"0.19\", expect_size=\"47692800\"] \n  12 -> 17 [size =\"47692800\"]\n  12 -> 19 [size =\"47692800\"]\n  12 -> 21 [size =\"47692800\"]\n  12 -> 23 [size =\"47692800\"]\n  12 -> 25 [size =\"47692800\"]\n  13 [size=\"109137920\", alpha=\"0.16\", expect_size=\"43655168\"] \n  13 -> 23 [size =\"43655168\"]\n  13 -> 25 [size =\"43655168\"]\n  14 [size=\"13770240\", alpha=\"0.01\", expect_size=\"5508096\"] \n  14 -> 16 [size =\"5508096\"]\n  14 -> 18 [size =\"5508096\"]\n  14 -> 19 [size =\"5508096\"]\n  14 -> 24 [size =\"5508096\"]\n  14 -> 25 [size =\"5508096\"]\n  15 [size=\"32030720\", alpha=\"0.17\", expect_size=\"12812288\"] \n  16 [size=\"99865600\", alpha=\"0.15\", expect_size=\"39946240\"] \n  17 [size=\"14661120\", alpha=\"0.06\", expect_size=\"5864448\"] \n  18 [size=\"46533120\", alpha=\"0.13\", expect_size=\"18613248\"] \n  19 [size=\"100482560\", alpha=\"0.13\", expect_size=\"40193024\"] \n  20 [size=\"118924800\", alpha=\"0.03\", expect_size=\"47569920\"] \n  21 [size=\"24688640\", alpha=\"0.08\", expect_size=\"9875456\"] \n  22 [size=\"100902400\", alpha=\"0.16\", expect_size=\"40360960\"] \n  23 [size=\"92789760\", alpha=\"0.12\", expect_size=\"37115904\"] \n  24 [size=\"67932160\", alpha=\"0.08\", expect_size=\"27172864\"] \n  25 [size=\"73372160\", alpha=\"0.01\", expect_size=\"29348864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160180907\", alpha=\"0.11\", expect_size=\"48054272\"] \n  1 -> 9 [size =\"48054272\"]\n  1 -> 12 [size =\"48054272\"]\n  1 -> 14 [size =\"48054272\"]\n  1 -> 15 [size =\"48054272\"]\n  2 [size=\"73714347\", alpha=\"0.01\", expect_size=\"22114304\"] \n  2 -> 8 [size =\"22114304\"]\n  2 -> 11 [size =\"22114304\"]\n  2 -> 12 [size =\"22114304\"]\n  2 -> 13 [size =\"22114304\"]\n  3 [size=\"21582507\", alpha=\"0.00\", expect_size=\"6474752\"] \n  3 -> 9 [size =\"6474752\"]\n  3 -> 13 [size =\"6474752\"]\n  4 [size=\"66693120\", alpha=\"0.13\", expect_size=\"20007936\"] \n  4 -> 11 [size =\"20007936\"]\n  4 -> 12 [size =\"20007936\"]\n  5 [size=\"148206933\", alpha=\"0.12\", expect_size=\"44462080\"] \n  5 -> 8 [size =\"44462080\"]\n  5 -> 13 [size =\"44462080\"]\n  6 [size=\"21876053\", alpha=\"0.19\", expect_size=\"6562816\"] \n  6 -> 9 [size =\"6562816\"]\n  6 -> 10 [size =\"6562816\"]\n  6 -> 14 [size =\"6562816\"]\n  6 -> 15 [size =\"6562816\"]\n  7 [size=\"36478293\", alpha=\"0.10\", expect_size=\"10943488\"] \n  7 -> 11 [size =\"10943488\"]\n  7 -> 12 [size =\"10943488\"]\n  7 -> 14 [size =\"10943488\"]\n  8 [size=\"115189760\", alpha=\"0.08\", expect_size=\"34556928\"] \n  8 -> 22 [size =\"34556928\"]\n  8 -> 24 [size =\"34556928\"]\n  9 [size=\"152589653\", alpha=\"0.16\", expect_size=\"45776896\"] \n  9 -> 17 [size =\"45776896\"]\n  9 -> 19 [size =\"45776896\"]\n  9 -> 21 [size =\"45776896\"]\n  10 [size=\"137076053\", alpha=\"0.03\", expect_size=\"41122816\"] \n  10 -> 16 [size =\"41122816\"]\n  10 -> 19 [size =\"41122816\"]\n  11 [size=\"119985493\", alpha=\"0.20\", expect_size=\"35995648\"] \n  11 -> 20 [size =\"35995648\"]\n  11 -> 25 [size =\"35995648\"]\n  12 [size=\"45520213\", alpha=\"0.07\", expect_size=\"13656064\"] \n  12 -> 22 [size =\"13656064\"]\n  12 -> 23 [size =\"13656064\"]\n  13 [size=\"49762987\", alpha=\"0.05\", expect_size=\"14928896\"] \n  13 -> 22 [size =\"14928896\"]\n  13 -> 23 [size =\"14928896\"]\n  13 -> 24 [size =\"14928896\"]\n  13 -> 25 [size =\"14928896\"]\n  14 [size=\"52507307\", alpha=\"0.02\", expect_size=\"15752192\"] \n  14 -> 17 [size =\"15752192\"]\n  14 -> 18 [size =\"15752192\"]\n  14 -> 21 [size =\"15752192\"]\n  14 -> 22 [size =\"15752192\"]\n  14 -> 23 [size =\"15752192\"]\n  15 [size=\"153285973\", alpha=\"0.15\", expect_size=\"45985792\"] \n  15 -> 21 [size =\"45985792\"]\n  15 -> 22 [size =\"45985792\"]\n  16 [size=\"91477333\", alpha=\"0.10\", expect_size=\"27443200\"] \n  17 [size=\"79953920\", alpha=\"0.19\", expect_size=\"23986176\"] \n  18 [size=\"161372160\", alpha=\"0.05\", expect_size=\"48411648\"] \n  19 [size=\"64334507\", alpha=\"0.18\", expect_size=\"19300352\"] \n  20 [size=\"31494827\", alpha=\"0.16\", expect_size=\"9448448\"] \n  21 [size=\"57166507\", alpha=\"0.12\", expect_size=\"17149952\"] \n  22 [size=\"53565440\", alpha=\"0.16\", expect_size=\"16069632\"] \n  23 [size=\"109117440\", alpha=\"0.20\", expect_size=\"32735232\"] \n  24 [size=\"145421653\", alpha=\"0.10\", expect_size=\"43626496\"] \n  25 [size=\"159812267\", alpha=\"0.16\", expect_size=\"47943680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33968128\", alpha=\"0.03\", expect_size=\"16984064\"] \n  1 -> 3 [size =\"16984064\"]\n  2 [size=\"96618496\", alpha=\"0.11\", expect_size=\"48309248\"] \n  3 [size=\"31942656\", alpha=\"0.15\", expect_size=\"15971328\"] \n  3 -> 4 [size =\"15971328\"]\n  4 [size=\"65056768\", alpha=\"0.06\", expect_size=\"32528384\"] \n  4 -> 5 [size =\"32528384\"]\n  4 -> 6 [size =\"32528384\"]\n  5 [size=\"33835008\", alpha=\"0.18\", expect_size=\"16917504\"] \n  5 -> 8 [size =\"16917504\"]\n  6 [size=\"56649728\", alpha=\"0.02\", expect_size=\"28324864\"] \n  6 -> 7 [size =\"28324864\"]\n  7 [size=\"103430144\", alpha=\"0.16\", expect_size=\"51715072\"] \n  7 -> 9 [size =\"51715072\"]\n  7 -> 10 [size =\"51715072\"]\n  8 [size=\"100311040\", alpha=\"0.15\", expect_size=\"50155520\"] \n  8 -> 10 [size =\"50155520\"]\n  9 [size=\"18798592\", alpha=\"0.03\", expect_size=\"9399296\"] \n  10 [size=\"97978368\", alpha=\"0.02\", expect_size=\"48989184\"] \n  10 -> 11 [size =\"48989184\"]\n  10 -> 12 [size =\"48989184\"]\n  11 [size=\"62214144\", alpha=\"0.12\", expect_size=\"31107072\"] \n  11 -> 13 [size =\"31107072\"]\n  11 -> 14 [size =\"31107072\"]\n  12 [size=\"74653696\", alpha=\"0.04\", expect_size=\"37326848\"] \n  12 -> 13 [size =\"37326848\"]\n  12 -> 14 [size =\"37326848\"]\n  13 [size=\"33755136\", alpha=\"0.10\", expect_size=\"16877568\"] \n  13 -> 15 [size =\"16877568\"]\n  14 [size=\"10514432\", alpha=\"0.05\", expect_size=\"5257216\"] \n  15 [size=\"38334464\", alpha=\"0.12\", expect_size=\"19167232\"] \n  15 -> 16 [size =\"19167232\"]\n  15 -> 17 [size =\"19167232\"]\n  16 [size=\"29763584\", alpha=\"0.18\", expect_size=\"14881792\"] \n  16 -> 18 [size =\"14881792\"]\n  17 [size=\"39667712\", alpha=\"0.15\", expect_size=\"19833856\"] \n  18 [size=\"19296256\", alpha=\"0.03\", expect_size=\"9648128\"] \n  18 -> 19 [size =\"9648128\"]\n  18 -> 20 [size =\"9648128\"]\n  19 [size=\"89790464\", alpha=\"0.06\", expect_size=\"44895232\"] \n  19 -> 21 [size =\"44895232\"]\n  19 -> 22 [size =\"44895232\"]\n  20 [size=\"102973440\", alpha=\"0.00\", expect_size=\"51486720\"] \n  20 -> 21 [size =\"51486720\"]\n  21 [size=\"17991680\", alpha=\"0.20\", expect_size=\"8995840\"] \n  22 [size=\"74674176\", alpha=\"0.17\", expect_size=\"37337088\"] \n  22 -> 23 [size =\"37337088\"]\n  22 -> 24 [size =\"37337088\"]\n  23 [size=\"92579840\", alpha=\"0.20\", expect_size=\"46289920\"] \n  23 -> 25 [size =\"46289920\"]\n  24 [size=\"47509504\", alpha=\"0.14\", expect_size=\"23754752\"] \n  24 -> 25 [size =\"23754752\"]\n  25 [size=\"73127936\", alpha=\"0.12\", expect_size=\"36563968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86592853\", alpha=\"0.09\", expect_size=\"25977856\"] \n  1 -> 3 [size =\"25977856\"]\n  1 -> 4 [size =\"25977856\"]\n  2 [size=\"29897387\", alpha=\"0.07\", expect_size=\"8969216\"] \n  3 [size=\"109506560\", alpha=\"0.03\", expect_size=\"32851968\"] \n  3 -> 8 [size =\"32851968\"]\n  3 -> 9 [size =\"32851968\"]\n  4 [size=\"119197013\", alpha=\"0.17\", expect_size=\"35759104\"] \n  4 -> 5 [size =\"35759104\"]\n  4 -> 6 [size =\"35759104\"]\n  4 -> 7 [size =\"35759104\"]\n  5 [size=\"27374933\", alpha=\"0.11\", expect_size=\"8212480\"] \n  5 -> 10 [size =\"8212480\"]\n  5 -> 13 [size =\"8212480\"]\n  6 [size=\"103860907\", alpha=\"0.12\", expect_size=\"31158272\"] \n  6 -> 10 [size =\"31158272\"]\n  6 -> 12 [size =\"31158272\"]\n  6 -> 14 [size =\"31158272\"]\n  7 [size=\"151449600\", alpha=\"0.06\", expect_size=\"45434880\"] \n  8 [size=\"132809387\", alpha=\"0.09\", expect_size=\"39842816\"] \n  8 -> 10 [size =\"39842816\"]\n  8 -> 12 [size =\"39842816\"]\n  9 [size=\"155770880\", alpha=\"0.05\", expect_size=\"46731264\"] \n  9 -> 11 [size =\"46731264\"]\n  10 [size=\"70901760\", alpha=\"0.04\", expect_size=\"21270528\"] \n  10 -> 17 [size =\"21270528\"]\n  11 [size=\"86227627\", alpha=\"0.09\", expect_size=\"25868288\"] \n  12 [size=\"158143147\", alpha=\"0.20\", expect_size=\"47442944\"] \n  12 -> 15 [size =\"47442944\"]\n  12 -> 16 [size =\"47442944\"]\n  13 [size=\"51981653\", alpha=\"0.14\", expect_size=\"15594496\"] \n  13 -> 16 [size =\"15594496\"]\n  14 [size=\"79363413\", alpha=\"0.18\", expect_size=\"23809024\"] \n  14 -> 16 [size =\"23809024\"]\n  15 [size=\"56787627\", alpha=\"0.09\", expect_size=\"17036288\"] \n  15 -> 19 [size =\"17036288\"]\n  16 [size=\"146565120\", alpha=\"0.07\", expect_size=\"43969536\"] \n  16 -> 18 [size =\"43969536\"]\n  17 [size=\"85275307\", alpha=\"0.04\", expect_size=\"25582592\"] \n  17 -> 18 [size =\"25582592\"]\n  18 [size=\"133550080\", alpha=\"0.03\", expect_size=\"40065024\"] \n  18 -> 20 [size =\"40065024\"]\n  18 -> 22 [size =\"40065024\"]\n  18 -> 24 [size =\"40065024\"]\n  19 [size=\"45407573\", alpha=\"0.18\", expect_size=\"13622272\"] \n  19 -> 21 [size =\"13622272\"]\n  19 -> 23 [size =\"13622272\"]\n  20 [size=\"88231253\", alpha=\"0.18\", expect_size=\"26469376\"] \n  21 [size=\"117186560\", alpha=\"0.06\", expect_size=\"35155968\"] \n  22 [size=\"28610560\", alpha=\"0.16\", expect_size=\"8583168\"] \n  22 -> 25 [size =\"8583168\"]\n  23 [size=\"25702400\", alpha=\"0.17\", expect_size=\"7710720\"] \n  23 -> 25 [size =\"7710720\"]\n  24 [size=\"133594453\", alpha=\"0.12\", expect_size=\"40078336\"] \n  25 [size=\"116002133\", alpha=\"0.07\", expect_size=\"34800640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18946560\", alpha=\"0.17\", expect_size=\"7578624\"] \n  2 [size=\"120181760\", alpha=\"0.08\", expect_size=\"48072704\"] \n  2 -> 5 [size =\"48072704\"]\n  2 -> 7 [size =\"48072704\"]\n  3 [size=\"20032000\", alpha=\"0.13\", expect_size=\"8012800\"] \n  3 -> 7 [size =\"8012800\"]\n  4 [size=\"55444480\", alpha=\"0.16\", expect_size=\"22177792\"] \n  4 -> 5 [size =\"22177792\"]\n  4 -> 6 [size =\"22177792\"]\n  4 -> 8 [size =\"22177792\"]\n  5 [size=\"120023040\", alpha=\"0.17\", expect_size=\"48009216\"] \n  5 -> 9 [size =\"48009216\"]\n  6 [size=\"99302400\", alpha=\"0.11\", expect_size=\"39720960\"] \n  6 -> 11 [size =\"39720960\"]\n  7 [size=\"36531200\", alpha=\"0.02\", expect_size=\"14612480\"] \n  7 -> 10 [size =\"14612480\"]\n  8 [size=\"15582720\", alpha=\"0.04\", expect_size=\"6233088\"] \n  8 -> 9 [size =\"6233088\"]\n  8 -> 11 [size =\"6233088\"]\n  9 [size=\"93585920\", alpha=\"0.06\", expect_size=\"37434368\"] \n  9 -> 15 [size =\"37434368\"]\n  10 [size=\"56284160\", alpha=\"0.04\", expect_size=\"22513664\"] \n  10 -> 12 [size =\"22513664\"]\n  10 -> 14 [size =\"22513664\"]\n  11 [size=\"91312640\", alpha=\"0.19\", expect_size=\"36525056\"] \n  11 -> 13 [size =\"36525056\"]\n  11 -> 15 [size =\"36525056\"]\n  12 [size=\"74703360\", alpha=\"0.02\", expect_size=\"29881344\"] \n  12 -> 17 [size =\"29881344\"]\n  13 [size=\"123243520\", alpha=\"0.14\", expect_size=\"49297408\"] \n  13 -> 16 [size =\"49297408\"]\n  13 -> 18 [size =\"49297408\"]\n  14 [size=\"83338240\", alpha=\"0.17\", expect_size=\"33335296\"] \n  14 -> 17 [size =\"33335296\"]\n  14 -> 18 [size =\"33335296\"]\n  15 [size=\"58731520\", alpha=\"0.11\", expect_size=\"23492608\"] \n  16 [size=\"38256640\", alpha=\"0.01\", expect_size=\"15302656\"] \n  16 -> 19 [size =\"15302656\"]\n  16 -> 20 [size =\"15302656\"]\n  16 -> 21 [size =\"15302656\"]\n  16 -> 22 [size =\"15302656\"]\n  17 [size=\"100311040\", alpha=\"0.05\", expect_size=\"40124416\"] \n  17 -> 21 [size =\"40124416\"]\n  17 -> 22 [size =\"40124416\"]\n  18 [size=\"115005440\", alpha=\"0.15\", expect_size=\"46002176\"] \n  18 -> 20 [size =\"46002176\"]\n  19 [size=\"21155840\", alpha=\"0.16\", expect_size=\"8462336\"] \n  19 -> 24 [size =\"8462336\"]\n  19 -> 25 [size =\"8462336\"]\n  20 [size=\"56762880\", alpha=\"0.18\", expect_size=\"22705152\"] \n  20 -> 24 [size =\"22705152\"]\n  21 [size=\"81082880\", alpha=\"0.01\", expect_size=\"32433152\"] \n  22 [size=\"74997760\", alpha=\"0.01\", expect_size=\"29999104\"] \n  22 -> 23 [size =\"29999104\"]\n  22 -> 24 [size =\"29999104\"]\n  23 [size=\"87418880\", alpha=\"0.03\", expect_size=\"34967552\"] \n  24 [size=\"52339200\", alpha=\"0.13\", expect_size=\"20935680\"] \n  25 [size=\"35215360\", alpha=\"0.20\", expect_size=\"14086144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65744896\", alpha=\"0.04\", expect_size=\"32872448\"] \n  1 -> 3 [size =\"32872448\"]\n  2 [size=\"27813888\", alpha=\"0.17\", expect_size=\"13906944\"] \n  2 -> 3 [size =\"13906944\"]\n  3 [size=\"52205568\", alpha=\"0.15\", expect_size=\"26102784\"] \n  3 -> 4 [size =\"26102784\"]\n  3 -> 5 [size =\"26102784\"]\n  4 [size=\"57108480\", alpha=\"0.12\", expect_size=\"28554240\"] \n  4 -> 6 [size =\"28554240\"]\n  4 -> 7 [size =\"28554240\"]\n  5 [size=\"60139520\", alpha=\"0.13\", expect_size=\"30069760\"] \n  5 -> 6 [size =\"30069760\"]\n  5 -> 7 [size =\"30069760\"]\n  6 [size=\"52865024\", alpha=\"0.20\", expect_size=\"26432512\"] \n  6 -> 8 [size =\"26432512\"]\n  7 [size=\"25012224\", alpha=\"0.08\", expect_size=\"12506112\"] \n  7 -> 8 [size =\"12506112\"]\n  8 [size=\"10704896\", alpha=\"0.01\", expect_size=\"5352448\"] \n  8 -> 9 [size =\"5352448\"]\n  8 -> 10 [size =\"5352448\"]\n  9 [size=\"91469824\", alpha=\"0.10\", expect_size=\"45734912\"] \n  9 -> 11 [size =\"45734912\"]\n  10 [size=\"89915392\", alpha=\"0.13\", expect_size=\"44957696\"] \n  10 -> 11 [size =\"44957696\"]\n  10 -> 12 [size =\"44957696\"]\n  11 [size=\"97798144\", alpha=\"0.07\", expect_size=\"48899072\"] \n  11 -> 13 [size =\"48899072\"]\n  11 -> 14 [size =\"48899072\"]\n  12 [size=\"20779008\", alpha=\"0.02\", expect_size=\"10389504\"] \n  12 -> 14 [size =\"10389504\"]\n  13 [size=\"100974592\", alpha=\"0.05\", expect_size=\"50487296\"] \n  13 -> 15 [size =\"50487296\"]\n  13 -> 16 [size =\"50487296\"]\n  14 [size=\"75524096\", alpha=\"0.18\", expect_size=\"37762048\"] \n  14 -> 15 [size =\"37762048\"]\n  14 -> 16 [size =\"37762048\"]\n  15 [size=\"40048640\", alpha=\"0.12\", expect_size=\"20024320\"] \n  16 [size=\"101617664\", alpha=\"0.04\", expect_size=\"50808832\"] \n  16 -> 17 [size =\"50808832\"]\n  16 -> 18 [size =\"50808832\"]\n  17 [size=\"101408768\", alpha=\"0.12\", expect_size=\"50704384\"] \n  17 -> 19 [size =\"50704384\"]\n  18 [size=\"45713408\", alpha=\"0.11\", expect_size=\"22856704\"] \n  18 -> 19 [size =\"22856704\"]\n  19 [size=\"50335744\", alpha=\"0.20\", expect_size=\"25167872\"] \n  19 -> 20 [size =\"25167872\"]\n  19 -> 21 [size =\"25167872\"]\n  20 [size=\"95182848\", alpha=\"0.03\", expect_size=\"47591424\"] \n  20 -> 22 [size =\"47591424\"]\n  20 -> 23 [size =\"47591424\"]\n  21 [size=\"60930048\", alpha=\"0.19\", expect_size=\"30465024\"] \n  21 -> 22 [size =\"30465024\"]\n  21 -> 23 [size =\"30465024\"]\n  22 [size=\"94803968\", alpha=\"0.18\", expect_size=\"47401984\"] \n  23 [size=\"103198720\", alpha=\"0.06\", expect_size=\"51599360\"] \n  23 -> 24 [size =\"51599360\"]\n  24 [size=\"30128128\", alpha=\"0.04\", expect_size=\"15064064\"] \n  24 -> 25 [size =\"15064064\"]\n  25 [size=\"19175424\", alpha=\"0.12\", expect_size=\"9587712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32217088\", alpha=\"0.04\", expect_size=\"16108544\"] \n  1 -> 5 [size =\"16108544\"]\n  2 [size=\"99796992\", alpha=\"0.10\", expect_size=\"49898496\"] \n  3 [size=\"35659776\", alpha=\"0.10\", expect_size=\"17829888\"] \n  3 -> 6 [size =\"17829888\"]\n  4 [size=\"18651136\", alpha=\"0.11\", expect_size=\"9325568\"] \n  5 [size=\"15693824\", alpha=\"0.11\", expect_size=\"7846912\"] \n  5 -> 7 [size =\"7846912\"]\n  5 -> 8 [size =\"7846912\"]\n  6 [size=\"61806592\", alpha=\"0.09\", expect_size=\"30903296\"] \n  6 -> 9 [size =\"30903296\"]\n  7 [size=\"21628928\", alpha=\"0.08\", expect_size=\"10814464\"] \n  7 -> 12 [size =\"10814464\"]\n  7 -> 14 [size =\"10814464\"]\n  8 [size=\"47661056\", alpha=\"0.03\", expect_size=\"23830528\"] \n  8 -> 10 [size =\"23830528\"]\n  8 -> 13 [size =\"23830528\"]\n  9 [size=\"103837696\", alpha=\"0.10\", expect_size=\"51918848\"] \n  9 -> 11 [size =\"51918848\"]\n  9 -> 13 [size =\"51918848\"]\n  10 [size=\"100519936\", alpha=\"0.05\", expect_size=\"50259968\"] \n  10 -> 17 [size =\"50259968\"]\n  10 -> 18 [size =\"50259968\"]\n  11 [size=\"28971008\", alpha=\"0.15\", expect_size=\"14485504\"] \n  11 -> 15 [size =\"14485504\"]\n  11 -> 17 [size =\"14485504\"]\n  11 -> 18 [size =\"14485504\"]\n  12 [size=\"47736832\", alpha=\"0.11\", expect_size=\"23868416\"] \n  12 -> 15 [size =\"23868416\"]\n  13 [size=\"96618496\", alpha=\"0.12\", expect_size=\"48309248\"] \n  13 -> 16 [size =\"48309248\"]\n  14 [size=\"49600512\", alpha=\"0.06\", expect_size=\"24800256\"] \n  14 -> 15 [size =\"24800256\"]\n  14 -> 17 [size =\"24800256\"]\n  14 -> 19 [size =\"24800256\"]\n  15 [size=\"103047168\", alpha=\"0.16\", expect_size=\"51523584\"] \n  15 -> 21 [size =\"51523584\"]\n  16 [size=\"60200960\", alpha=\"0.16\", expect_size=\"30100480\"] \n  16 -> 20 [size =\"30100480\"]\n  16 -> 24 [size =\"30100480\"]\n  17 [size=\"102453248\", alpha=\"0.07\", expect_size=\"51226624\"] \n  17 -> 24 [size =\"51226624\"]\n  18 [size=\"46825472\", alpha=\"0.12\", expect_size=\"23412736\"] \n  18 -> 20 [size =\"23412736\"]\n  18 -> 22 [size =\"23412736\"]\n  19 [size=\"63174656\", alpha=\"0.01\", expect_size=\"31587328\"] \n  19 -> 20 [size =\"31587328\"]\n  19 -> 22 [size =\"31587328\"]\n  19 -> 23 [size =\"31587328\"]\n  20 [size=\"14292992\", alpha=\"0.06\", expect_size=\"7146496\"] \n  21 [size=\"39827456\", alpha=\"0.15\", expect_size=\"19913728\"] \n  22 [size=\"14899200\", alpha=\"0.03\", expect_size=\"7449600\"] \n  23 [size=\"66013184\", alpha=\"0.17\", expect_size=\"33006592\"] \n  24 [size=\"28915712\", alpha=\"0.12\", expect_size=\"14457856\"] \n  24 -> 25 [size =\"14457856\"]\n  25 [size=\"58923008\", alpha=\"0.09\", expect_size=\"29461504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61849600\", alpha=\"0.13\", expect_size=\"24739840\"] \n  1 -> 18 [size =\"24739840\"]\n  1 -> 21 [size =\"24739840\"]\n  1 -> 25 [size =\"24739840\"]\n  2 [size=\"40138240\", alpha=\"0.16\", expect_size=\"16055296\"] \n  3 [size=\"80931840\", alpha=\"0.09\", expect_size=\"32372736\"] \n  3 -> 23 [size =\"32372736\"]\n  3 -> 24 [size =\"32372736\"]\n  4 [size=\"87191040\", alpha=\"0.07\", expect_size=\"34876416\"] \n  4 -> 20 [size =\"34876416\"]\n  4 -> 22 [size =\"34876416\"]\n  5 [size=\"18603520\", alpha=\"0.09\", expect_size=\"7441408\"] \n  5 -> 18 [size =\"7441408\"]\n  5 -> 22 [size =\"7441408\"]\n  6 [size=\"41108480\", alpha=\"0.18\", expect_size=\"16443392\"] \n  7 [size=\"29086720\", alpha=\"0.19\", expect_size=\"11634688\"] \n  7 -> 21 [size =\"11634688\"]\n  8 [size=\"96967680\", alpha=\"0.12\", expect_size=\"38787072\"] \n  8 -> 18 [size =\"38787072\"]\n  8 -> 20 [size =\"38787072\"]\n  8 -> 21 [size =\"38787072\"]\n  8 -> 22 [size =\"38787072\"]\n  9 [size=\"67269120\", alpha=\"0.12\", expect_size=\"26907648\"] \n  9 -> 18 [size =\"26907648\"]\n  9 -> 19 [size =\"26907648\"]\n  9 -> 21 [size =\"26907648\"]\n  9 -> 22 [size =\"26907648\"]\n  10 [size=\"60736000\", alpha=\"0.18\", expect_size=\"24294400\"] \n  10 -> 18 [size =\"24294400\"]\n  10 -> 21 [size =\"24294400\"]\n  10 -> 24 [size =\"24294400\"]\n  11 [size=\"119447040\", alpha=\"0.20\", expect_size=\"47778816\"] \n  11 -> 20 [size =\"47778816\"]\n  11 -> 24 [size =\"47778816\"]\n  12 [size=\"77959680\", alpha=\"0.09\", expect_size=\"31183872\"] \n  12 -> 21 [size =\"31183872\"]\n  12 -> 22 [size =\"31183872\"]\n  12 -> 24 [size =\"31183872\"]\n  13 [size=\"56663040\", alpha=\"0.07\", expect_size=\"22665216\"] \n  13 -> 18 [size =\"22665216\"]\n  13 -> 20 [size =\"22665216\"]\n  13 -> 22 [size =\"22665216\"]\n  13 -> 24 [size =\"22665216\"]\n  14 [size=\"111444480\", alpha=\"0.13\", expect_size=\"44577792\"] \n  14 -> 18 [size =\"44577792\"]\n  14 -> 22 [size =\"44577792\"]\n  15 [size=\"37048320\", alpha=\"0.11\", expect_size=\"14819328\"] \n  15 -> 20 [size =\"14819328\"]\n  15 -> 21 [size =\"14819328\"]\n  16 [size=\"89981440\", alpha=\"0.10\", expect_size=\"35992576\"] \n  16 -> 20 [size =\"35992576\"]\n  16 -> 23 [size =\"35992576\"]\n  17 [size=\"75571200\", alpha=\"0.13\", expect_size=\"30228480\"] \n  17 -> 21 [size =\"30228480\"]\n  18 [size=\"69480960\", alpha=\"0.12\", expect_size=\"27792384\"] \n  19 [size=\"19420160\", alpha=\"0.18\", expect_size=\"7768064\"] \n  20 [size=\"87585280\", alpha=\"0.06\", expect_size=\"35034112\"] \n  21 [size=\"74583040\", alpha=\"0.02\", expect_size=\"29833216\"] \n  22 [size=\"73955840\", alpha=\"0.03\", expect_size=\"29582336\"] \n  23 [size=\"128023040\", alpha=\"0.15\", expect_size=\"51209216\"] \n  24 [size=\"48542720\", alpha=\"0.00\", expect_size=\"19417088\"] \n  25 [size=\"124794880\", alpha=\"0.06\", expect_size=\"49917952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17080320\", alpha=\"0.04\", expect_size=\"6832128\"] \n  1 -> 2 [size =\"6832128\"]\n  2 [size=\"102976000\", alpha=\"0.03\", expect_size=\"41190400\"] \n  2 -> 3 [size =\"41190400\"]\n  3 [size=\"106270720\", alpha=\"0.13\", expect_size=\"42508288\"] \n  3 -> 4 [size =\"42508288\"]\n  4 [size=\"17111040\", alpha=\"0.06\", expect_size=\"6844416\"] \n  4 -> 5 [size =\"6844416\"]\n  5 [size=\"38878720\", alpha=\"0.10\", expect_size=\"15551488\"] \n  5 -> 6 [size =\"15551488\"]\n  6 [size=\"102092800\", alpha=\"0.19\", expect_size=\"40837120\"] \n  6 -> 7 [size =\"40837120\"]\n  7 [size=\"57397760\", alpha=\"0.20\", expect_size=\"22959104\"] \n  7 -> 8 [size =\"22959104\"]\n  8 [size=\"97249280\", alpha=\"0.15\", expect_size=\"38899712\"] \n  8 -> 9 [size =\"38899712\"]\n  9 [size=\"18961920\", alpha=\"0.01\", expect_size=\"7584768\"] \n  9 -> 10 [size =\"7584768\"]\n  10 [size=\"49589760\", alpha=\"0.10\", expect_size=\"19835904\"] \n  10 -> 11 [size =\"19835904\"]\n  11 [size=\"33344000\", alpha=\"0.07\", expect_size=\"13337600\"] \n  11 -> 12 [size =\"13337600\"]\n  12 [size=\"55531520\", alpha=\"0.18\", expect_size=\"22212608\"] \n  12 -> 13 [size =\"22212608\"]\n  13 [size=\"71116800\", alpha=\"0.15\", expect_size=\"28446720\"] \n  13 -> 14 [size =\"28446720\"]\n  14 [size=\"29882880\", alpha=\"0.03\", expect_size=\"11953152\"] \n  14 -> 15 [size =\"11953152\"]\n  15 [size=\"67778560\", alpha=\"0.19\", expect_size=\"27111424\"] \n  15 -> 16 [size =\"27111424\"]\n  16 [size=\"127618560\", alpha=\"0.04\", expect_size=\"51047424\"] \n  16 -> 17 [size =\"51047424\"]\n  17 [size=\"122826240\", alpha=\"0.09\", expect_size=\"49130496\"] \n  17 -> 18 [size =\"49130496\"]\n  18 [size=\"121612800\", alpha=\"0.20\", expect_size=\"48645120\"] \n  18 -> 19 [size =\"48645120\"]\n  19 [size=\"92879360\", alpha=\"0.05\", expect_size=\"37151744\"] \n  19 -> 20 [size =\"37151744\"]\n  20 [size=\"97336320\", alpha=\"0.07\", expect_size=\"38934528\"] \n  20 -> 21 [size =\"38934528\"]\n  21 [size=\"37465600\", alpha=\"0.10\", expect_size=\"14986240\"] \n  21 -> 22 [size =\"14986240\"]\n  22 [size=\"81484800\", alpha=\"0.08\", expect_size=\"32593920\"] \n  22 -> 23 [size =\"32593920\"]\n  23 [size=\"70522880\", alpha=\"0.02\", expect_size=\"28209152\"] \n  23 -> 24 [size =\"28209152\"]\n  24 [size=\"42844160\", alpha=\"0.17\", expect_size=\"17137664\"] \n  24 -> 25 [size =\"17137664\"]\n  25 [size=\"59427840\", alpha=\"0.16\", expect_size=\"23771136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156504747\", alpha=\"0.02\", expect_size=\"46951424\"] \n  1 -> 9 [size =\"46951424\"]\n  1 -> 10 [size =\"46951424\"]\n  1 -> 12 [size =\"46951424\"]\n  1 -> 15 [size =\"46951424\"]\n  2 [size=\"81319253\", alpha=\"0.16\", expect_size=\"24395776\"] \n  2 -> 9 [size =\"24395776\"]\n  2 -> 10 [size =\"24395776\"]\n  2 -> 13 [size =\"24395776\"]\n  2 -> 14 [size =\"24395776\"]\n  2 -> 15 [size =\"24395776\"]\n  3 [size=\"49609387\", alpha=\"0.15\", expect_size=\"14882816\"] \n  3 -> 9 [size =\"14882816\"]\n  3 -> 11 [size =\"14882816\"]\n  3 -> 16 [size =\"14882816\"]\n  4 [size=\"162577067\", alpha=\"0.00\", expect_size=\"48773120\"] \n  4 -> 12 [size =\"48773120\"]\n  4 -> 13 [size =\"48773120\"]\n  4 -> 17 [size =\"48773120\"]\n  5 [size=\"136304640\", alpha=\"0.16\", expect_size=\"40891392\"] \n  5 -> 9 [size =\"40891392\"]\n  5 -> 10 [size =\"40891392\"]\n  5 -> 17 [size =\"40891392\"]\n  6 [size=\"130843307\", alpha=\"0.08\", expect_size=\"39252992\"] \n  6 -> 9 [size =\"39252992\"]\n  6 -> 11 [size =\"39252992\"]\n  6 -> 15 [size =\"39252992\"]\n  7 [size=\"74967040\", alpha=\"0.04\", expect_size=\"22490112\"] \n  7 -> 12 [size =\"22490112\"]\n  7 -> 14 [size =\"22490112\"]\n  7 -> 16 [size =\"22490112\"]\n  8 [size=\"67519147\", alpha=\"0.06\", expect_size=\"20255744\"] \n  8 -> 9 [size =\"20255744\"]\n  8 -> 10 [size =\"20255744\"]\n  8 -> 12 [size =\"20255744\"]\n  8 -> 16 [size =\"20255744\"]\n  8 -> 17 [size =\"20255744\"]\n  9 [size=\"29252267\", alpha=\"0.13\", expect_size=\"8775680\"] \n  9 -> 18 [size =\"8775680\"]\n  9 -> 20 [size =\"8775680\"]\n  9 -> 22 [size =\"8775680\"]\n  9 -> 25 [size =\"8775680\"]\n  10 [size=\"73912320\", alpha=\"0.06\", expect_size=\"22173696\"] \n  10 -> 18 [size =\"22173696\"]\n  10 -> 24 [size =\"22173696\"]\n  11 [size=\"171776000\", alpha=\"0.04\", expect_size=\"51532800\"] \n  11 -> 18 [size =\"51532800\"]\n  11 -> 19 [size =\"51532800\"]\n  11 -> 20 [size =\"51532800\"]\n  11 -> 23 [size =\"51532800\"]\n  12 [size=\"31897600\", alpha=\"0.04\", expect_size=\"9569280\"] \n  12 -> 18 [size =\"9569280\"]\n  12 -> 22 [size =\"9569280\"]\n  13 [size=\"156938240\", alpha=\"0.14\", expect_size=\"47081472\"] \n  13 -> 18 [size =\"47081472\"]\n  13 -> 20 [size =\"47081472\"]\n  13 -> 22 [size =\"47081472\"]\n  14 [size=\"121316693\", alpha=\"0.15\", expect_size=\"36395008\"] \n  14 -> 18 [size =\"36395008\"]\n  15 [size=\"123006293\", alpha=\"0.19\", expect_size=\"36901888\"] \n  15 -> 18 [size =\"36901888\"]\n  15 -> 20 [size =\"36901888\"]\n  15 -> 22 [size =\"36901888\"]\n  15 -> 24 [size =\"36901888\"]\n  16 [size=\"90299733\", alpha=\"0.09\", expect_size=\"27089920\"] \n  16 -> 21 [size =\"27089920\"]\n  16 -> 23 [size =\"27089920\"]\n  17 [size=\"156733440\", alpha=\"0.15\", expect_size=\"47020032\"] \n  17 -> 19 [size =\"47020032\"]\n  17 -> 20 [size =\"47020032\"]\n  17 -> 23 [size =\"47020032\"]\n  18 [size=\"29760853\", alpha=\"0.14\", expect_size=\"8928256\"] \n  19 [size=\"76233387\", alpha=\"0.13\", expect_size=\"22870016\"] \n  20 [size=\"22166187\", alpha=\"0.17\", expect_size=\"6649856\"] \n  21 [size=\"70314667\", alpha=\"0.19\", expect_size=\"21094400\"] \n  22 [size=\"100259840\", alpha=\"0.08\", expect_size=\"30077952\"] \n  23 [size=\"130109440\", alpha=\"0.02\", expect_size=\"39032832\"] \n  24 [size=\"81633280\", alpha=\"0.14\", expect_size=\"24489984\"] \n  25 [size=\"45120853\", alpha=\"0.01\", expect_size=\"13536256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101050368\", alpha=\"0.10\", expect_size=\"50525184\"] \n  1 -> 2 [size =\"50525184\"]\n  2 [size=\"23945216\", alpha=\"0.12\", expect_size=\"11972608\"] \n  2 -> 3 [size =\"11972608\"]\n  3 [size=\"67700736\", alpha=\"0.17\", expect_size=\"33850368\"] \n  3 -> 4 [size =\"33850368\"]\n  4 [size=\"70268928\", alpha=\"0.18\", expect_size=\"35134464\"] \n  4 -> 5 [size =\"35134464\"]\n  5 [size=\"35510272\", alpha=\"0.16\", expect_size=\"17755136\"] \n  5 -> 6 [size =\"17755136\"]\n  6 [size=\"71198720\", alpha=\"0.18\", expect_size=\"35599360\"] \n  6 -> 7 [size =\"35599360\"]\n  7 [size=\"45778944\", alpha=\"0.18\", expect_size=\"22889472\"] \n  7 -> 8 [size =\"22889472\"]\n  8 [size=\"62898176\", alpha=\"0.05\", expect_size=\"31449088\"] \n  8 -> 9 [size =\"31449088\"]\n  9 [size=\"73779200\", alpha=\"0.16\", expect_size=\"36889600\"] \n  9 -> 10 [size =\"36889600\"]\n  10 [size=\"25061376\", alpha=\"0.05\", expect_size=\"12530688\"] \n  10 -> 11 [size =\"12530688\"]\n  11 [size=\"52348928\", alpha=\"0.10\", expect_size=\"26174464\"] \n  11 -> 12 [size =\"26174464\"]\n  12 [size=\"97642496\", alpha=\"0.16\", expect_size=\"48821248\"] \n  12 -> 13 [size =\"48821248\"]\n  13 [size=\"60614656\", alpha=\"0.01\", expect_size=\"30307328\"] \n  13 -> 14 [size =\"30307328\"]\n  14 [size=\"45346816\", alpha=\"0.02\", expect_size=\"22673408\"] \n  14 -> 15 [size =\"22673408\"]\n  15 [size=\"35362816\", alpha=\"0.14\", expect_size=\"17681408\"] \n  15 -> 16 [size =\"17681408\"]\n  16 [size=\"16906240\", alpha=\"0.17\", expect_size=\"8453120\"] \n  16 -> 17 [size =\"8453120\"]\n  17 [size=\"102475776\", alpha=\"0.04\", expect_size=\"51237888\"] \n  17 -> 18 [size =\"51237888\"]\n  18 [size=\"93657088\", alpha=\"0.01\", expect_size=\"46828544\"] \n  18 -> 19 [size =\"46828544\"]\n  19 [size=\"21370880\", alpha=\"0.16\", expect_size=\"10685440\"] \n  19 -> 20 [size =\"10685440\"]\n  20 [size=\"97730560\", alpha=\"0.04\", expect_size=\"48865280\"] \n  20 -> 21 [size =\"48865280\"]\n  21 [size=\"27283456\", alpha=\"0.11\", expect_size=\"13641728\"] \n  21 -> 22 [size =\"13641728\"]\n  22 [size=\"72531968\", alpha=\"0.01\", expect_size=\"36265984\"] \n  22 -> 23 [size =\"36265984\"]\n  23 [size=\"51417088\", alpha=\"0.03\", expect_size=\"25708544\"] \n  23 -> 24 [size =\"25708544\"]\n  24 [size=\"56254464\", alpha=\"0.18\", expect_size=\"28127232\"] \n  24 -> 25 [size =\"28127232\"]\n  25 [size=\"63922176\", alpha=\"0.18\", expect_size=\"31961088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111631360\", alpha=\"0.02\", expect_size=\"44652544\"] \n  1 -> 13 [size =\"44652544\"]\n  1 -> 14 [size =\"44652544\"]\n  1 -> 16 [size =\"44652544\"]\n  1 -> 19 [size =\"44652544\"]\n  1 -> 21 [size =\"44652544\"]\n  1 -> 22 [size =\"44652544\"]\n  1 -> 25 [size =\"44652544\"]\n  2 [size=\"71710720\", alpha=\"0.14\", expect_size=\"28684288\"] \n  2 -> 13 [size =\"28684288\"]\n  2 -> 14 [size =\"28684288\"]\n  2 -> 15 [size =\"28684288\"]\n  2 -> 25 [size =\"28684288\"]\n  3 [size=\"74478080\", alpha=\"0.01\", expect_size=\"29791232\"] \n  3 -> 13 [size =\"29791232\"]\n  3 -> 14 [size =\"29791232\"]\n  3 -> 23 [size =\"29791232\"]\n  4 [size=\"63234560\", alpha=\"0.06\", expect_size=\"25293824\"] \n  4 -> 13 [size =\"25293824\"]\n  4 -> 17 [size =\"25293824\"]\n  4 -> 18 [size =\"25293824\"]\n  4 -> 20 [size =\"25293824\"]\n  4 -> 23 [size =\"25293824\"]\n  5 [size=\"128908800\", alpha=\"0.08\", expect_size=\"51563520\"] \n  5 -> 13 [size =\"51563520\"]\n  5 -> 15 [size =\"51563520\"]\n  5 -> 23 [size =\"51563520\"]\n  5 -> 25 [size =\"51563520\"]\n  6 [size=\"54904320\", alpha=\"0.14\", expect_size=\"21961728\"] \n  6 -> 19 [size =\"21961728\"]\n  6 -> 20 [size =\"21961728\"]\n  6 -> 25 [size =\"21961728\"]\n  7 [size=\"97784320\", alpha=\"0.11\", expect_size=\"39113728\"] \n  7 -> 15 [size =\"39113728\"]\n  7 -> 16 [size =\"39113728\"]\n  7 -> 19 [size =\"39113728\"]\n  7 -> 25 [size =\"39113728\"]\n  8 [size=\"93811200\", alpha=\"0.08\", expect_size=\"37524480\"] \n  8 -> 16 [size =\"37524480\"]\n  8 -> 23 [size =\"37524480\"]\n  8 -> 25 [size =\"37524480\"]\n  9 [size=\"29913600\", alpha=\"0.06\", expect_size=\"11965440\"] \n  9 -> 18 [size =\"11965440\"]\n  10 [size=\"62740480\", alpha=\"0.10\", expect_size=\"25096192\"] \n  10 -> 18 [size =\"25096192\"]\n  10 -> 23 [size =\"25096192\"]\n  10 -> 24 [size =\"25096192\"]\n  11 [size=\"39564800\", alpha=\"0.03\", expect_size=\"15825920\"] \n  11 -> 18 [size =\"15825920\"]\n  11 -> 19 [size =\"15825920\"]\n  11 -> 25 [size =\"15825920\"]\n  12 [size=\"53952000\", alpha=\"0.10\", expect_size=\"21580800\"] \n  12 -> 13 [size =\"21580800\"]\n  12 -> 14 [size =\"21580800\"]\n  12 -> 15 [size =\"21580800\"]\n  12 -> 17 [size =\"21580800\"]\n  12 -> 18 [size =\"21580800\"]\n  12 -> 24 [size =\"21580800\"]\n  12 -> 25 [size =\"21580800\"]\n  13 [size=\"16358400\", alpha=\"0.11\", expect_size=\"6543360\"] \n  14 [size=\"21319680\", alpha=\"0.12\", expect_size=\"8527872\"] \n  15 [size=\"55032320\", alpha=\"0.14\", expect_size=\"22012928\"] \n  16 [size=\"102722560\", alpha=\"0.04\", expect_size=\"41089024\"] \n  17 [size=\"64473600\", alpha=\"0.06\", expect_size=\"25789440\"] \n  18 [size=\"14302720\", alpha=\"0.01\", expect_size=\"5721088\"] \n  19 [size=\"63203840\", alpha=\"0.18\", expect_size=\"25281536\"] \n  20 [size=\"101332480\", alpha=\"0.05\", expect_size=\"40532992\"] \n  21 [size=\"42672640\", alpha=\"0.08\", expect_size=\"17069056\"] \n  22 [size=\"62625280\", alpha=\"0.02\", expect_size=\"25050112\"] \n  23 [size=\"124162560\", alpha=\"0.05\", expect_size=\"49665024\"] \n  24 [size=\"73175040\", alpha=\"0.18\", expect_size=\"29270016\"] \n  25 [size=\"25925120\", alpha=\"0.09\", expect_size=\"10370048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86708907\", alpha=\"0.10\", expect_size=\"26012672\"] \n  2 [size=\"86377813\", alpha=\"0.15\", expect_size=\"25913344\"] \n  3 [size=\"38051840\", alpha=\"0.01\", expect_size=\"11415552\"] \n  4 [size=\"56524800\", alpha=\"0.18\", expect_size=\"16957440\"] \n  4 -> 23 [size =\"16957440\"]\n  4 -> 25 [size =\"16957440\"]\n  5 [size=\"169151147\", alpha=\"0.05\", expect_size=\"50745344\"] \n  5 -> 24 [size =\"50745344\"]\n  6 [size=\"156238507\", alpha=\"0.20\", expect_size=\"46871552\"] \n  6 -> 23 [size =\"46871552\"]\n  6 -> 24 [size =\"46871552\"]\n  7 [size=\"153026560\", alpha=\"0.10\", expect_size=\"45907968\"] \n  7 -> 23 [size =\"45907968\"]\n  7 -> 24 [size =\"45907968\"]\n  7 -> 25 [size =\"45907968\"]\n  8 [size=\"163041280\", alpha=\"0.07\", expect_size=\"48912384\"] \n  8 -> 23 [size =\"48912384\"]\n  8 -> 24 [size =\"48912384\"]\n  9 [size=\"27060907\", alpha=\"0.10\", expect_size=\"8118272\"] \n  9 -> 24 [size =\"8118272\"]\n  10 [size=\"103529813\", alpha=\"0.08\", expect_size=\"31058944\"] \n  10 -> 25 [size =\"31058944\"]\n  11 [size=\"45230080\", alpha=\"0.14\", expect_size=\"13569024\"] \n  11 -> 24 [size =\"13569024\"]\n  11 -> 25 [size =\"13569024\"]\n  12 [size=\"122241707\", alpha=\"0.06\", expect_size=\"36672512\"] \n  12 -> 25 [size =\"36672512\"]\n  13 [size=\"86200320\", alpha=\"0.10\", expect_size=\"25860096\"] \n  13 -> 24 [size =\"25860096\"]\n  14 [size=\"95696213\", alpha=\"0.07\", expect_size=\"28708864\"] \n  14 -> 24 [size =\"28708864\"]\n  15 [size=\"78168747\", alpha=\"0.07\", expect_size=\"23450624\"] \n  15 -> 23 [size =\"23450624\"]\n  15 -> 25 [size =\"23450624\"]\n  16 [size=\"120091307\", alpha=\"0.15\", expect_size=\"36027392\"] \n  16 -> 25 [size =\"36027392\"]\n  17 [size=\"119825067\", alpha=\"0.09\", expect_size=\"35947520\"] \n  18 [size=\"37874347\", alpha=\"0.03\", expect_size=\"11362304\"] \n  19 [size=\"96307200\", alpha=\"0.18\", expect_size=\"28892160\"] \n  19 -> 24 [size =\"28892160\"]\n  19 -> 25 [size =\"28892160\"]\n  20 [size=\"18650453\", alpha=\"0.19\", expect_size=\"5595136\"] \n  20 -> 23 [size =\"5595136\"]\n  20 -> 24 [size =\"5595136\"]\n  20 -> 25 [size =\"5595136\"]\n  21 [size=\"81885867\", alpha=\"0.09\", expect_size=\"24565760\"] \n  21 -> 24 [size =\"24565760\"]\n  21 -> 25 [size =\"24565760\"]\n  21 -> 25 [size =\"24565760\"]\n  22 [size=\"35969707\", alpha=\"0.08\", expect_size=\"10790912\"] \n  22 -> 25 [size =\"10790912\"]\n  23 [size=\"80315733\", alpha=\"0.10\", expect_size=\"24094720\"] \n  24 [size=\"158423040\", alpha=\"0.16\", expect_size=\"47526912\"] \n  25 [size=\"53022720\", alpha=\"0.02\", expect_size=\"15906816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61853696\", alpha=\"0.07\", expect_size=\"30926848\"] \n  1 -> 17 [size =\"30926848\"]\n  1 -> 20 [size =\"30926848\"]\n  1 -> 22 [size =\"30926848\"]\n  1 -> 23 [size =\"30926848\"]\n  1 -> 25 [size =\"30926848\"]\n  2 [size=\"93374464\", alpha=\"0.17\", expect_size=\"46687232\"] \n  2 -> 17 [size =\"46687232\"]\n  2 -> 18 [size =\"46687232\"]\n  2 -> 20 [size =\"46687232\"]\n  2 -> 21 [size =\"46687232\"]\n  2 -> 22 [size =\"46687232\"]\n  2 -> 25 [size =\"46687232\"]\n  3 [size=\"33148928\", alpha=\"0.12\", expect_size=\"16574464\"] \n  3 -> 17 [size =\"16574464\"]\n  3 -> 20 [size =\"16574464\"]\n  3 -> 22 [size =\"16574464\"]\n  3 -> 24 [size =\"16574464\"]\n  3 -> 25 [size =\"16574464\"]\n  4 [size=\"17100800\", alpha=\"0.20\", expect_size=\"8550400\"] \n  4 -> 17 [size =\"8550400\"]\n  4 -> 18 [size =\"8550400\"]\n  4 -> 19 [size =\"8550400\"]\n  4 -> 25 [size =\"8550400\"]\n  5 [size=\"99684352\", alpha=\"0.13\", expect_size=\"49842176\"] \n  5 -> 17 [size =\"49842176\"]\n  5 -> 19 [size =\"49842176\"]\n  5 -> 23 [size =\"49842176\"]\n  6 [size=\"96169984\", alpha=\"0.06\", expect_size=\"48084992\"] \n  6 -> 17 [size =\"48084992\"]\n  6 -> 18 [size =\"48084992\"]\n  6 -> 19 [size =\"48084992\"]\n  6 -> 22 [size =\"48084992\"]\n  7 [size=\"10784768\", alpha=\"0.08\", expect_size=\"5392384\"] \n  7 -> 17 [size =\"5392384\"]\n  7 -> 18 [size =\"5392384\"]\n  7 -> 22 [size =\"5392384\"]\n  7 -> 22 [size =\"5392384\"]\n  7 -> 23 [size =\"5392384\"]\n  7 -> 24 [size =\"5392384\"]\n  8 [size=\"73121792\", alpha=\"0.07\", expect_size=\"36560896\"] \n  8 -> 17 [size =\"36560896\"]\n  8 -> 18 [size =\"36560896\"]\n  8 -> 21 [size =\"36560896\"]\n  8 -> 23 [size =\"36560896\"]\n  8 -> 24 [size =\"36560896\"]\n  9 [size=\"55373824\", alpha=\"0.14\", expect_size=\"27686912\"] \n  9 -> 17 [size =\"27686912\"]\n  9 -> 18 [size =\"27686912\"]\n  9 -> 21 [size =\"27686912\"]\n  9 -> 22 [size =\"27686912\"]\n  9 -> 23 [size =\"27686912\"]\n  9 -> 24 [size =\"27686912\"]\n  10 [size=\"26435584\", alpha=\"0.16\", expect_size=\"13217792\"] \n  10 -> 18 [size =\"13217792\"]\n  10 -> 19 [size =\"13217792\"]\n  10 -> 21 [size =\"13217792\"]\n  10 -> 23 [size =\"13217792\"]\n  11 [size=\"22126592\", alpha=\"0.05\", expect_size=\"11063296\"] \n  11 -> 21 [size =\"11063296\"]\n  11 -> 23 [size =\"11063296\"]\n  11 -> 25 [size =\"11063296\"]\n  12 [size=\"55750656\", alpha=\"0.11\", expect_size=\"27875328\"] \n  12 -> 18 [size =\"27875328\"]\n  12 -> 19 [size =\"27875328\"]\n  12 -> 21 [size =\"27875328\"]\n  12 -> 25 [size =\"27875328\"]\n  13 [size=\"42469376\", alpha=\"0.08\", expect_size=\"21234688\"] \n  13 -> 21 [size =\"21234688\"]\n  13 -> 23 [size =\"21234688\"]\n  13 -> 25 [size =\"21234688\"]\n  14 [size=\"96952320\", alpha=\"0.11\", expect_size=\"48476160\"] \n  14 -> 17 [size =\"48476160\"]\n  14 -> 20 [size =\"48476160\"]\n  14 -> 21 [size =\"48476160\"]\n  14 -> 22 [size =\"48476160\"]\n  14 -> 23 [size =\"48476160\"]\n  14 -> 24 [size =\"48476160\"]\n  14 -> 25 [size =\"48476160\"]\n  15 [size=\"95987712\", alpha=\"0.10\", expect_size=\"47993856\"] \n  15 -> 17 [size =\"47993856\"]\n  15 -> 18 [size =\"47993856\"]\n  15 -> 20 [size =\"47993856\"]\n  15 -> 21 [size =\"47993856\"]\n  15 -> 22 [size =\"47993856\"]\n  15 -> 23 [size =\"47993856\"]\n  15 -> 25 [size =\"47993856\"]\n  16 [size=\"60784640\", alpha=\"0.15\", expect_size=\"30392320\"] \n  16 -> 17 [size =\"30392320\"]\n  16 -> 18 [size =\"30392320\"]\n  16 -> 19 [size =\"30392320\"]\n  16 -> 20 [size =\"30392320\"]\n  16 -> 23 [size =\"30392320\"]\n  16 -> 23 [size =\"30392320\"]\n  16 -> 24 [size =\"30392320\"]\n  16 -> 25 [size =\"30392320\"]\n  17 [size=\"90863616\", alpha=\"0.01\", expect_size=\"45431808\"] \n  18 [size=\"32421888\", alpha=\"0.04\", expect_size=\"16210944\"] \n  19 [size=\"63141888\", alpha=\"0.17\", expect_size=\"31570944\"] \n  20 [size=\"33497088\", alpha=\"0.13\", expect_size=\"16748544\"] \n  21 [size=\"14366720\", alpha=\"0.20\", expect_size=\"7183360\"] \n  22 [size=\"37228544\", alpha=\"0.04\", expect_size=\"18614272\"] \n  23 [size=\"87869440\", alpha=\"0.13\", expect_size=\"43934720\"] \n  24 [size=\"33015808\", alpha=\"0.04\", expect_size=\"16507904\"] \n  25 [size=\"85159936\", alpha=\"0.13\", expect_size=\"42579968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85544960\", alpha=\"0.01\", expect_size=\"42772480\"] \n  1 -> 2 [size =\"42772480\"]\n  2 [size=\"72859648\", alpha=\"0.13\", expect_size=\"36429824\"] \n  2 -> 3 [size =\"36429824\"]\n  3 [size=\"27848704\", alpha=\"0.09\", expect_size=\"13924352\"] \n  3 -> 4 [size =\"13924352\"]\n  4 [size=\"82446336\", alpha=\"0.09\", expect_size=\"41223168\"] \n  4 -> 5 [size =\"41223168\"]\n  5 [size=\"52066304\", alpha=\"0.19\", expect_size=\"26033152\"] \n  5 -> 6 [size =\"26033152\"]\n  6 [size=\"61034496\", alpha=\"0.07\", expect_size=\"30517248\"] \n  6 -> 7 [size =\"30517248\"]\n  7 [size=\"92583936\", alpha=\"0.17\", expect_size=\"46291968\"] \n  7 -> 8 [size =\"46291968\"]\n  7 -> 9 [size =\"46291968\"]\n  8 [size=\"39727104\", alpha=\"0.09\", expect_size=\"19863552\"] \n  8 -> 10 [size =\"19863552\"]\n  9 [size=\"39868416\", alpha=\"0.02\", expect_size=\"19934208\"] \n  10 [size=\"24039424\", alpha=\"0.09\", expect_size=\"12019712\"] \n  10 -> 11 [size =\"12019712\"]\n  11 [size=\"104470528\", alpha=\"0.04\", expect_size=\"52235264\"] \n  11 -> 12 [size =\"52235264\"]\n  11 -> 13 [size =\"52235264\"]\n  12 [size=\"13666304\", alpha=\"0.10\", expect_size=\"6833152\"] \n  12 -> 14 [size =\"6833152\"]\n  13 [size=\"73422848\", alpha=\"0.09\", expect_size=\"36711424\"] \n  13 -> 14 [size =\"36711424\"]\n  14 [size=\"21975040\", alpha=\"0.08\", expect_size=\"10987520\"] \n  14 -> 15 [size =\"10987520\"]\n  14 -> 16 [size =\"10987520\"]\n  15 [size=\"66002944\", alpha=\"0.15\", expect_size=\"33001472\"] \n  16 [size=\"59609088\", alpha=\"0.01\", expect_size=\"29804544\"] \n  16 -> 17 [size =\"29804544\"]\n  16 -> 18 [size =\"29804544\"]\n  17 [size=\"90361856\", alpha=\"0.17\", expect_size=\"45180928\"] \n  17 -> 20 [size =\"45180928\"]\n  18 [size=\"77715456\", alpha=\"0.14\", expect_size=\"38857728\"] \n  18 -> 19 [size =\"38857728\"]\n  18 -> 20 [size =\"38857728\"]\n  19 [size=\"27193344\", alpha=\"0.10\", expect_size=\"13596672\"] \n  19 -> 21 [size =\"13596672\"]\n  19 -> 22 [size =\"13596672\"]\n  20 [size=\"38676480\", alpha=\"0.03\", expect_size=\"19338240\"] \n  20 -> 22 [size =\"19338240\"]\n  21 [size=\"80191488\", alpha=\"0.11\", expect_size=\"40095744\"] \n  22 [size=\"100536320\", alpha=\"0.13\", expect_size=\"50268160\"] \n  22 -> 23 [size =\"50268160\"]\n  23 [size=\"54595584\", alpha=\"0.18\", expect_size=\"27297792\"] \n  23 -> 24 [size =\"27297792\"]\n  23 -> 25 [size =\"27297792\"]\n  24 [size=\"98068480\", alpha=\"0.18\", expect_size=\"49034240\"] \n  25 [size=\"42295296\", alpha=\"0.08\", expect_size=\"21147648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164758187\", alpha=\"0.16\", expect_size=\"49427456\"] \n  1 -> 15 [size =\"49427456\"]\n  1 -> 16 [size =\"49427456\"]\n  2 [size=\"40676693\", alpha=\"0.04\", expect_size=\"12203008\"] \n  2 -> 18 [size =\"12203008\"]\n  2 -> 19 [size =\"12203008\"]\n  2 -> 21 [size =\"12203008\"]\n  3 [size=\"102795947\", alpha=\"0.09\", expect_size=\"30838784\"] \n  3 -> 15 [size =\"30838784\"]\n  3 -> 18 [size =\"30838784\"]\n  3 -> 19 [size =\"30838784\"]\n  3 -> 21 [size =\"30838784\"]\n  3 -> 23 [size =\"30838784\"]\n  4 [size=\"157999787\", alpha=\"0.08\", expect_size=\"47399936\"] \n  4 -> 19 [size =\"47399936\"]\n  4 -> 22 [size =\"47399936\"]\n  5 [size=\"26501120\", alpha=\"0.11\", expect_size=\"7950336\"] \n  5 -> 14 [size =\"7950336\"]\n  5 -> 17 [size =\"7950336\"]\n  5 -> 24 [size =\"7950336\"]\n  5 -> 25 [size =\"7950336\"]\n  6 [size=\"121664853\", alpha=\"0.03\", expect_size=\"36499456\"] \n  6 -> 13 [size =\"36499456\"]\n  6 -> 15 [size =\"36499456\"]\n  6 -> 18 [size =\"36499456\"]\n  6 -> 25 [size =\"36499456\"]\n  7 [size=\"47766187\", alpha=\"0.09\", expect_size=\"14329856\"] \n  7 -> 13 [size =\"14329856\"]\n  7 -> 15 [size =\"14329856\"]\n  7 -> 25 [size =\"14329856\"]\n  8 [size=\"60532053\", alpha=\"0.11\", expect_size=\"18159616\"] \n  8 -> 13 [size =\"18159616\"]\n  8 -> 15 [size =\"18159616\"]\n  8 -> 17 [size =\"18159616\"]\n  8 -> 18 [size =\"18159616\"]\n  8 -> 22 [size =\"18159616\"]\n  8 -> 24 [size =\"18159616\"]\n  8 -> 25 [size =\"18159616\"]\n  9 [size=\"56866133\", alpha=\"0.09\", expect_size=\"17059840\"] \n  9 -> 15 [size =\"17059840\"]\n  9 -> 15 [size =\"17059840\"]\n  9 -> 17 [size =\"17059840\"]\n  9 -> 21 [size =\"17059840\"]\n  9 -> 23 [size =\"17059840\"]\n  9 -> 25 [size =\"17059840\"]\n  10 [size=\"70376107\", alpha=\"0.06\", expect_size=\"21112832\"] \n  10 -> 15 [size =\"21112832\"]\n  10 -> 16 [size =\"21112832\"]\n  10 -> 18 [size =\"21112832\"]\n  10 -> 20 [size =\"21112832\"]\n  10 -> 21 [size =\"21112832\"]\n  10 -> 24 [size =\"21112832\"]\n  11 [size=\"65280000\", alpha=\"0.06\", expect_size=\"19584000\"] \n  11 -> 14 [size =\"19584000\"]\n  11 -> 15 [size =\"19584000\"]\n  11 -> 21 [size =\"19584000\"]\n  12 [size=\"37454507\", alpha=\"0.18\", expect_size=\"11236352\"] \n  12 -> 20 [size =\"11236352\"]\n  12 -> 25 [size =\"11236352\"]\n  13 [size=\"65921707\", alpha=\"0.16\", expect_size=\"19776512\"] \n  14 [size=\"139584853\", alpha=\"0.13\", expect_size=\"41875456\"] \n  15 [size=\"48226987\", alpha=\"0.15\", expect_size=\"14468096\"] \n  16 [size=\"130952533\", alpha=\"0.07\", expect_size=\"39285760\"] \n  17 [size=\"157129387\", alpha=\"0.10\", expect_size=\"47138816\"] \n  18 [size=\"72174933\", alpha=\"0.06\", expect_size=\"21652480\"] \n  19 [size=\"158508373\", alpha=\"0.01\", expect_size=\"47552512\"] \n  20 [size=\"74789547\", alpha=\"0.14\", expect_size=\"22436864\"] \n  21 [size=\"123863040\", alpha=\"0.05\", expect_size=\"37158912\"] \n  22 [size=\"167693653\", alpha=\"0.19\", expect_size=\"50308096\"] \n  23 [size=\"152750080\", alpha=\"0.04\", expect_size=\"45825024\"] \n  24 [size=\"124136107\", alpha=\"0.07\", expect_size=\"37240832\"] \n  25 [size=\"69792427\", alpha=\"0.11\", expect_size=\"20937728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84301824\", alpha=\"0.11\", expect_size=\"42150912\"] \n  1 -> 2 [size =\"42150912\"]\n  2 [size=\"45268992\", alpha=\"0.10\", expect_size=\"22634496\"] \n  2 -> 3 [size =\"22634496\"]\n  3 [size=\"28997632\", alpha=\"0.03\", expect_size=\"14498816\"] \n  3 -> 4 [size =\"14498816\"]\n  4 [size=\"36956160\", alpha=\"0.20\", expect_size=\"18478080\"] \n  4 -> 5 [size =\"18478080\"]\n  5 [size=\"38397952\", alpha=\"0.17\", expect_size=\"19198976\"] \n  5 -> 6 [size =\"19198976\"]\n  6 [size=\"90306560\", alpha=\"0.04\", expect_size=\"45153280\"] \n  6 -> 7 [size =\"45153280\"]\n  7 [size=\"36935680\", alpha=\"0.13\", expect_size=\"18467840\"] \n  7 -> 8 [size =\"18467840\"]\n  8 [size=\"22824960\", alpha=\"0.12\", expect_size=\"11412480\"] \n  8 -> 9 [size =\"11412480\"]\n  9 [size=\"84332544\", alpha=\"0.14\", expect_size=\"42166272\"] \n  9 -> 10 [size =\"42166272\"]\n  10 [size=\"75520000\", alpha=\"0.02\", expect_size=\"37760000\"] \n  10 -> 11 [size =\"37760000\"]\n  11 [size=\"86165504\", alpha=\"0.00\", expect_size=\"43082752\"] \n  11 -> 12 [size =\"43082752\"]\n  12 [size=\"41644032\", alpha=\"0.16\", expect_size=\"20822016\"] \n  12 -> 13 [size =\"20822016\"]\n  13 [size=\"90417152\", alpha=\"0.17\", expect_size=\"45208576\"] \n  13 -> 14 [size =\"45208576\"]\n  14 [size=\"11563008\", alpha=\"0.13\", expect_size=\"5781504\"] \n  14 -> 15 [size =\"5781504\"]\n  15 [size=\"104243200\", alpha=\"0.18\", expect_size=\"52121600\"] \n  15 -> 16 [size =\"52121600\"]\n  16 [size=\"88240128\", alpha=\"0.15\", expect_size=\"44120064\"] \n  16 -> 17 [size =\"44120064\"]\n  17 [size=\"14733312\", alpha=\"0.13\", expect_size=\"7366656\"] \n  17 -> 18 [size =\"7366656\"]\n  18 [size=\"75671552\", alpha=\"0.02\", expect_size=\"37835776\"] \n  18 -> 19 [size =\"37835776\"]\n  19 [size=\"35837952\", alpha=\"0.03\", expect_size=\"17918976\"] \n  19 -> 20 [size =\"17918976\"]\n  20 [size=\"103868416\", alpha=\"0.20\", expect_size=\"51934208\"] \n  20 -> 21 [size =\"51934208\"]\n  21 [size=\"20934656\", alpha=\"0.12\", expect_size=\"10467328\"] \n  21 -> 22 [size =\"10467328\"]\n  22 [size=\"21878784\", alpha=\"0.12\", expect_size=\"10939392\"] \n  22 -> 23 [size =\"10939392\"]\n  23 [size=\"97329152\", alpha=\"0.16\", expect_size=\"48664576\"] \n  23 -> 24 [size =\"48664576\"]\n  24 [size=\"84932608\", alpha=\"0.05\", expect_size=\"42466304\"] \n  24 -> 25 [size =\"42466304\"]\n  25 [size=\"52955136\", alpha=\"0.01\", expect_size=\"26477568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39621120\", alpha=\"0.15\", expect_size=\"15848448\"] \n  1 -> 13 [size =\"15848448\"]\n  1 -> 16 [size =\"15848448\"]\n  2 [size=\"41175040\", alpha=\"0.09\", expect_size=\"16470016\"] \n  2 -> 12 [size =\"16470016\"]\n  2 -> 13 [size =\"16470016\"]\n  2 -> 15 [size =\"16470016\"]\n  2 -> 18 [size =\"16470016\"]\n  3 [size=\"98104320\", alpha=\"0.14\", expect_size=\"39241728\"] \n  3 -> 13 [size =\"39241728\"]\n  3 -> 15 [size =\"39241728\"]\n  3 -> 15 [size =\"39241728\"]\n  3 -> 18 [size =\"39241728\"]\n  4 [size=\"41292800\", alpha=\"0.18\", expect_size=\"16517120\"] \n  4 -> 16 [size =\"16517120\"]\n  5 [size=\"45250560\", alpha=\"0.19\", expect_size=\"18100224\"] \n  5 -> 10 [size =\"18100224\"]\n  5 -> 12 [size =\"18100224\"]\n  5 -> 14 [size =\"18100224\"]\n  5 -> 16 [size =\"18100224\"]\n  5 -> 17 [size =\"18100224\"]\n  6 [size=\"18073600\", alpha=\"0.06\", expect_size=\"7229440\"] \n  6 -> 10 [size =\"7229440\"]\n  6 -> 12 [size =\"7229440\"]\n  7 [size=\"74501120\", alpha=\"0.13\", expect_size=\"29800448\"] \n  7 -> 10 [size =\"29800448\"]\n  7 -> 13 [size =\"29800448\"]\n  7 -> 16 [size =\"29800448\"]\n  7 -> 18 [size =\"29800448\"]\n  8 [size=\"81418240\", alpha=\"0.16\", expect_size=\"32567296\"] \n  8 -> 10 [size =\"32567296\"]\n  8 -> 11 [size =\"32567296\"]\n  9 [size=\"122613760\", alpha=\"0.18\", expect_size=\"49045504\"] \n  9 -> 11 [size =\"49045504\"]\n  9 -> 14 [size =\"49045504\"]\n  9 -> 16 [size =\"49045504\"]\n  9 -> 18 [size =\"49045504\"]\n  10 [size=\"102791680\", alpha=\"0.11\", expect_size=\"41116672\"] \n  10 -> 24 [size =\"41116672\"]\n  11 [size=\"14968320\", alpha=\"0.12\", expect_size=\"5987328\"] \n  11 -> 21 [size =\"5987328\"]\n  11 -> 22 [size =\"5987328\"]\n  12 [size=\"104885760\", alpha=\"0.03\", expect_size=\"41954304\"] \n  12 -> 20 [size =\"41954304\"]\n  12 -> 21 [size =\"41954304\"]\n  12 -> 22 [size =\"41954304\"]\n  13 [size=\"41497600\", alpha=\"0.15\", expect_size=\"16599040\"] \n  13 -> 19 [size =\"16599040\"]\n  13 -> 20 [size =\"16599040\"]\n  13 -> 21 [size =\"16599040\"]\n  14 [size=\"126205440\", alpha=\"0.09\", expect_size=\"50482176\"] \n  14 -> 19 [size =\"50482176\"]\n  14 -> 21 [size =\"50482176\"]\n  14 -> 22 [size =\"50482176\"]\n  14 -> 23 [size =\"50482176\"]\n  15 [size=\"115801600\", alpha=\"0.06\", expect_size=\"46320640\"] \n  15 -> 19 [size =\"46320640\"]\n  15 -> 21 [size =\"46320640\"]\n  15 -> 25 [size =\"46320640\"]\n  16 [size=\"111654400\", alpha=\"0.05\", expect_size=\"44661760\"] \n  16 -> 19 [size =\"44661760\"]\n  16 -> 22 [size =\"44661760\"]\n  16 -> 24 [size =\"44661760\"]\n  16 -> 25 [size =\"44661760\"]\n  17 [size=\"28129280\", alpha=\"0.09\", expect_size=\"11251712\"] \n  17 -> 20 [size =\"11251712\"]\n  17 -> 24 [size =\"11251712\"]\n  17 -> 25 [size =\"11251712\"]\n  18 [size=\"104427520\", alpha=\"0.14\", expect_size=\"41771008\"] \n  18 -> 22 [size =\"41771008\"]\n  18 -> 25 [size =\"41771008\"]\n  19 [size=\"82293760\", alpha=\"0.15\", expect_size=\"32917504\"] \n  20 [size=\"72944640\", alpha=\"0.07\", expect_size=\"29177856\"] \n  21 [size=\"17006080\", alpha=\"0.03\", expect_size=\"6802432\"] \n  22 [size=\"89697280\", alpha=\"0.04\", expect_size=\"35878912\"] \n  23 [size=\"107760640\", alpha=\"0.20\", expect_size=\"43104256\"] \n  24 [size=\"80081920\", alpha=\"0.00\", expect_size=\"32032768\"] \n  25 [size=\"16230400\", alpha=\"0.06\", expect_size=\"6492160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86999040\", alpha=\"0.18\", expect_size=\"34799616\"] \n  1 -> 4 [size =\"34799616\"]\n  1 -> 6 [size =\"34799616\"]\n  2 [size=\"28487680\", alpha=\"0.11\", expect_size=\"11395072\"] \n  2 -> 4 [size =\"11395072\"]\n  3 [size=\"48000000\", alpha=\"0.14\", expect_size=\"19200000\"] \n  3 -> 4 [size =\"19200000\"]\n  3 -> 5 [size =\"19200000\"]\n  4 [size=\"96980480\", alpha=\"0.08\", expect_size=\"38792192\"] \n  4 -> 7 [size =\"38792192\"]\n  4 -> 8 [size =\"38792192\"]\n  4 -> 9 [size =\"38792192\"]\n  4 -> 10 [size =\"38792192\"]\n  5 [size=\"46489600\", alpha=\"0.12\", expect_size=\"18595840\"] \n  5 -> 7 [size =\"18595840\"]\n  5 -> 8 [size =\"18595840\"]\n  5 -> 9 [size =\"18595840\"]\n  6 [size=\"82639360\", alpha=\"0.01\", expect_size=\"33055744\"] \n  6 -> 8 [size =\"33055744\"]\n  7 [size=\"35699200\", alpha=\"0.16\", expect_size=\"14279680\"] \n  7 -> 11 [size =\"14279680\"]\n  7 -> 12 [size =\"14279680\"]\n  8 [size=\"40143360\", alpha=\"0.20\", expect_size=\"16057344\"] \n  8 -> 11 [size =\"16057344\"]\n  8 -> 12 [size =\"16057344\"]\n  9 [size=\"70717440\", alpha=\"0.17\", expect_size=\"28286976\"] \n  9 -> 11 [size =\"28286976\"]\n  9 -> 12 [size =\"28286976\"]\n  9 -> 13 [size =\"28286976\"]\n  10 [size=\"113497600\", alpha=\"0.11\", expect_size=\"45399040\"] \n  10 -> 11 [size =\"45399040\"]\n  10 -> 12 [size =\"45399040\"]\n  10 -> 13 [size =\"45399040\"]\n  11 [size=\"49448960\", alpha=\"0.02\", expect_size=\"19779584\"] \n  11 -> 14 [size =\"19779584\"]\n  11 -> 15 [size =\"19779584\"]\n  11 -> 16 [size =\"19779584\"]\n  11 -> 17 [size =\"19779584\"]\n  11 -> 18 [size =\"19779584\"]\n  12 [size=\"36032000\", alpha=\"0.13\", expect_size=\"14412800\"] \n  12 -> 15 [size =\"14412800\"]\n  12 -> 17 [size =\"14412800\"]\n  12 -> 18 [size =\"14412800\"]\n  13 [size=\"99392000\", alpha=\"0.01\", expect_size=\"39756800\"] \n  13 -> 15 [size =\"39756800\"]\n  13 -> 16 [size =\"39756800\"]\n  13 -> 17 [size =\"39756800\"]\n  13 -> 18 [size =\"39756800\"]\n  14 [size=\"62397440\", alpha=\"0.01\", expect_size=\"24958976\"] \n  14 -> 21 [size =\"24958976\"]\n  15 [size=\"112197120\", alpha=\"0.09\", expect_size=\"44878848\"] \n  15 -> 20 [size =\"44878848\"]\n  15 -> 22 [size =\"44878848\"]\n  16 [size=\"67527680\", alpha=\"0.07\", expect_size=\"27011072\"] \n  16 -> 20 [size =\"27011072\"]\n  16 -> 21 [size =\"27011072\"]\n  16 -> 22 [size =\"27011072\"]\n  17 [size=\"70986240\", alpha=\"0.02\", expect_size=\"28394496\"] \n  17 -> 19 [size =\"28394496\"]\n  17 -> 20 [size =\"28394496\"]\n  17 -> 22 [size =\"28394496\"]\n  18 [size=\"48430080\", alpha=\"0.02\", expect_size=\"19372032\"] \n  18 -> 19 [size =\"19372032\"]\n  19 [size=\"46069760\", alpha=\"0.12\", expect_size=\"18427904\"] \n  19 -> 23 [size =\"18427904\"]\n  19 -> 25 [size =\"18427904\"]\n  20 [size=\"27046400\", alpha=\"0.01\", expect_size=\"10818560\"] \n  20 -> 24 [size =\"10818560\"]\n  21 [size=\"90790400\", alpha=\"0.02\", expect_size=\"36316160\"] \n  21 -> 24 [size =\"36316160\"]\n  21 -> 25 [size =\"36316160\"]\n  22 [size=\"103943680\", alpha=\"0.06\", expect_size=\"41577472\"] \n  22 -> 25 [size =\"41577472\"]\n  22 -> 25 [size =\"41577472\"]\n  23 [size=\"62740480\", alpha=\"0.15\", expect_size=\"25096192\"] \n  24 [size=\"67793920\", alpha=\"0.19\", expect_size=\"27117568\"] \n  25 [size=\"71705600\", alpha=\"0.09\", expect_size=\"28682240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92449280\", alpha=\"0.14\", expect_size=\"36979712\"] \n  1 -> 2 [size =\"36979712\"]\n  2 [size=\"124167680\", alpha=\"0.15\", expect_size=\"49667072\"] \n  2 -> 3 [size =\"49667072\"]\n  3 [size=\"63006720\", alpha=\"0.14\", expect_size=\"25202688\"] \n  3 -> 4 [size =\"25202688\"]\n  4 [size=\"64115200\", alpha=\"0.07\", expect_size=\"25646080\"] \n  4 -> 5 [size =\"25646080\"]\n  5 [size=\"86149120\", alpha=\"0.11\", expect_size=\"34459648\"] \n  5 -> 6 [size =\"34459648\"]\n  6 [size=\"34782720\", alpha=\"0.08\", expect_size=\"13913088\"] \n  6 -> 7 [size =\"13913088\"]\n  7 [size=\"76090880\", alpha=\"0.06\", expect_size=\"30436352\"] \n  7 -> 8 [size =\"30436352\"]\n  8 [size=\"89978880\", alpha=\"0.16\", expect_size=\"35991552\"] \n  8 -> 9 [size =\"35991552\"]\n  9 [size=\"69058560\", alpha=\"0.08\", expect_size=\"27623424\"] \n  9 -> 10 [size =\"27623424\"]\n  10 [size=\"98083840\", alpha=\"0.11\", expect_size=\"39233536\"] \n  10 -> 11 [size =\"39233536\"]\n  11 [size=\"98941440\", alpha=\"0.14\", expect_size=\"39576576\"] \n  11 -> 12 [size =\"39576576\"]\n  12 [size=\"66073600\", alpha=\"0.18\", expect_size=\"26429440\"] \n  12 -> 13 [size =\"26429440\"]\n  13 [size=\"35023360\", alpha=\"0.07\", expect_size=\"14009344\"] \n  13 -> 14 [size =\"14009344\"]\n  14 [size=\"118126080\", alpha=\"0.03\", expect_size=\"47250432\"] \n  14 -> 15 [size =\"47250432\"]\n  15 [size=\"41674240\", alpha=\"0.03\", expect_size=\"16669696\"] \n  15 -> 16 [size =\"16669696\"]\n  16 [size=\"105246720\", alpha=\"0.06\", expect_size=\"42098688\"] \n  16 -> 17 [size =\"42098688\"]\n  17 [size=\"35376640\", alpha=\"0.17\", expect_size=\"14150656\"] \n  17 -> 18 [size =\"14150656\"]\n  18 [size=\"69570560\", alpha=\"0.11\", expect_size=\"27828224\"] \n  18 -> 19 [size =\"27828224\"]\n  19 [size=\"47971840\", alpha=\"0.06\", expect_size=\"19188736\"] \n  19 -> 20 [size =\"19188736\"]\n  20 [size=\"95736320\", alpha=\"0.02\", expect_size=\"38294528\"] \n  20 -> 21 [size =\"38294528\"]\n  21 [size=\"42030080\", alpha=\"0.11\", expect_size=\"16812032\"] \n  21 -> 22 [size =\"16812032\"]\n  22 [size=\"125447680\", alpha=\"0.20\", expect_size=\"50179072\"] \n  22 -> 23 [size =\"50179072\"]\n  23 [size=\"113331200\", alpha=\"0.16\", expect_size=\"45332480\"] \n  23 -> 24 [size =\"45332480\"]\n  24 [size=\"36490240\", alpha=\"0.01\", expect_size=\"14596096\"] \n  24 -> 25 [size =\"14596096\"]\n  25 [size=\"51975680\", alpha=\"0.19\", expect_size=\"20790272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38782293\", alpha=\"0.02\", expect_size=\"11634688\"] \n  1 -> 2 [size =\"11634688\"]\n  2 [size=\"116783787\", alpha=\"0.20\", expect_size=\"35035136\"] \n  2 -> 3 [size =\"35035136\"]\n  3 [size=\"69434027\", alpha=\"0.11\", expect_size=\"20830208\"] \n  3 -> 4 [size =\"20830208\"]\n  4 [size=\"171745280\", alpha=\"0.13\", expect_size=\"51523584\"] \n  4 -> 5 [size =\"51523584\"]\n  5 [size=\"157579947\", alpha=\"0.19\", expect_size=\"47273984\"] \n  5 -> 6 [size =\"47273984\"]\n  6 [size=\"37314560\", alpha=\"0.13\", expect_size=\"11194368\"] \n  6 -> 7 [size =\"11194368\"]\n  7 [size=\"61651627\", alpha=\"0.00\", expect_size=\"18495488\"] \n  7 -> 8 [size =\"18495488\"]\n  8 [size=\"67874133\", alpha=\"0.12\", expect_size=\"20362240\"] \n  8 -> 9 [size =\"20362240\"]\n  9 [size=\"101304320\", alpha=\"0.16\", expect_size=\"30391296\"] \n  9 -> 10 [size =\"30391296\"]\n  10 [size=\"79134720\", alpha=\"0.14\", expect_size=\"23740416\"] \n  10 -> 11 [size =\"23740416\"]\n  11 [size=\"153425920\", alpha=\"0.16\", expect_size=\"46027776\"] \n  11 -> 12 [size =\"46027776\"]\n  12 [size=\"172291413\", alpha=\"0.13\", expect_size=\"51687424\"] \n  12 -> 13 [size =\"51687424\"]\n  13 [size=\"168901973\", alpha=\"0.01\", expect_size=\"50670592\"] \n  13 -> 14 [size =\"50670592\"]\n  14 [size=\"98737493\", alpha=\"0.13\", expect_size=\"29621248\"] \n  14 -> 15 [size =\"29621248\"]\n  15 [size=\"43055787\", alpha=\"0.12\", expect_size=\"12916736\"] \n  15 -> 16 [size =\"12916736\"]\n  16 [size=\"34822827\", alpha=\"0.14\", expect_size=\"10446848\"] \n  16 -> 17 [size =\"10446848\"]\n  17 [size=\"136219307\", alpha=\"0.07\", expect_size=\"40865792\"] \n  17 -> 18 [size =\"40865792\"]\n  18 [size=\"138635947\", alpha=\"0.19\", expect_size=\"41590784\"] \n  18 -> 19 [size =\"41590784\"]\n  19 [size=\"72147627\", alpha=\"0.19\", expect_size=\"21644288\"] \n  19 -> 20 [size =\"21644288\"]\n  20 [size=\"43441493\", alpha=\"0.18\", expect_size=\"13032448\"] \n  20 -> 21 [size =\"13032448\"]\n  21 [size=\"154849280\", alpha=\"0.00\", expect_size=\"46454784\"] \n  21 -> 22 [size =\"46454784\"]\n  22 [size=\"123467093\", alpha=\"0.15\", expect_size=\"37040128\"] \n  22 -> 23 [size =\"37040128\"]\n  23 [size=\"65300480\", alpha=\"0.16\", expect_size=\"19590144\"] \n  23 -> 24 [size =\"19590144\"]\n  24 [size=\"73014613\", alpha=\"0.16\", expect_size=\"21904384\"] \n  24 -> 25 [size =\"21904384\"]\n  25 [size=\"20985173\", alpha=\"0.15\", expect_size=\"6295552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85121024\", alpha=\"0.01\", expect_size=\"42560512\"] \n  1 -> 10 [size =\"42560512\"]\n  1 -> 12 [size =\"42560512\"]\n  1 -> 13 [size =\"42560512\"]\n  1 -> 15 [size =\"42560512\"]\n  1 -> 16 [size =\"42560512\"]\n  1 -> 19 [size =\"42560512\"]\n  2 [size=\"22943744\", alpha=\"0.08\", expect_size=\"11471872\"] \n  2 -> 11 [size =\"11471872\"]\n  2 -> 14 [size =\"11471872\"]\n  3 [size=\"95850496\", alpha=\"0.10\", expect_size=\"47925248\"] \n  3 -> 13 [size =\"47925248\"]\n  3 -> 14 [size =\"47925248\"]\n  3 -> 15 [size =\"47925248\"]\n  3 -> 16 [size =\"47925248\"]\n  3 -> 18 [size =\"47925248\"]\n  3 -> 19 [size =\"47925248\"]\n  4 [size=\"53606400\", alpha=\"0.17\", expect_size=\"26803200\"] \n  4 -> 12 [size =\"26803200\"]\n  4 -> 13 [size =\"26803200\"]\n  4 -> 14 [size =\"26803200\"]\n  4 -> 16 [size =\"26803200\"]\n  4 -> 17 [size =\"26803200\"]\n  4 -> 20 [size =\"26803200\"]\n  5 [size=\"100900864\", alpha=\"0.12\", expect_size=\"50450432\"] \n  5 -> 11 [size =\"50450432\"]\n  5 -> 13 [size =\"50450432\"]\n  5 -> 14 [size =\"50450432\"]\n  5 -> 16 [size =\"50450432\"]\n  5 -> 18 [size =\"50450432\"]\n  5 -> 20 [size =\"50450432\"]\n  6 [size=\"19716096\", alpha=\"0.08\", expect_size=\"9858048\"] \n  6 -> 12 [size =\"9858048\"]\n  6 -> 15 [size =\"9858048\"]\n  6 -> 16 [size =\"9858048\"]\n  6 -> 19 [size =\"9858048\"]\n  6 -> 20 [size =\"9858048\"]\n  7 [size=\"54441984\", alpha=\"0.13\", expect_size=\"27220992\"] \n  7 -> 9 [size =\"27220992\"]\n  7 -> 11 [size =\"27220992\"]\n  7 -> 12 [size =\"27220992\"]\n  7 -> 14 [size =\"27220992\"]\n  7 -> 15 [size =\"27220992\"]\n  7 -> 19 [size =\"27220992\"]\n  8 [size=\"50974720\", alpha=\"0.00\", expect_size=\"25487360\"] \n  8 -> 13 [size =\"25487360\"]\n  8 -> 18 [size =\"25487360\"]\n  8 -> 20 [size =\"25487360\"]\n  9 [size=\"58372096\", alpha=\"0.09\", expect_size=\"29186048\"] \n  9 -> 25 [size =\"29186048\"]\n  10 [size=\"29900800\", alpha=\"0.07\", expect_size=\"14950400\"] \n  11 [size=\"93986816\", alpha=\"0.09\", expect_size=\"46993408\"] \n  11 -> 22 [size =\"46993408\"]\n  11 -> 24 [size =\"46993408\"]\n  12 [size=\"96985088\", alpha=\"0.07\", expect_size=\"48492544\"] \n  12 -> 22 [size =\"48492544\"]\n  12 -> 25 [size =\"48492544\"]\n  13 [size=\"41334784\", alpha=\"0.01\", expect_size=\"20667392\"] \n  13 -> 21 [size =\"20667392\"]\n  13 -> 23 [size =\"20667392\"]\n  13 -> 25 [size =\"20667392\"]\n  14 [size=\"90222592\", alpha=\"0.03\", expect_size=\"45111296\"] \n  14 -> 21 [size =\"45111296\"]\n  14 -> 24 [size =\"45111296\"]\n  15 [size=\"76132352\", alpha=\"0.09\", expect_size=\"38066176\"] \n  15 -> 24 [size =\"38066176\"]\n  15 -> 25 [size =\"38066176\"]\n  16 [size=\"37134336\", alpha=\"0.05\", expect_size=\"18567168\"] \n  16 -> 25 [size =\"18567168\"]\n  17 [size=\"73066496\", alpha=\"0.12\", expect_size=\"36533248\"] \n  17 -> 22 [size =\"36533248\"]\n  18 [size=\"37996544\", alpha=\"0.03\", expect_size=\"18998272\"] \n  18 -> 22 [size =\"18998272\"]\n  18 -> 25 [size =\"18998272\"]\n  19 [size=\"38610944\", alpha=\"0.20\", expect_size=\"19305472\"] \n  19 -> 25 [size =\"19305472\"]\n  20 [size=\"81240064\", alpha=\"0.04\", expect_size=\"40620032\"] \n  21 [size=\"21458944\", alpha=\"0.05\", expect_size=\"10729472\"] \n  22 [size=\"62566400\", alpha=\"0.08\", expect_size=\"31283200\"] \n  23 [size=\"94699520\", alpha=\"0.09\", expect_size=\"47349760\"] \n  24 [size=\"98287616\", alpha=\"0.20\", expect_size=\"49143808\"] \n  25 [size=\"18747392\", alpha=\"0.09\", expect_size=\"9373696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123211093\", alpha=\"0.20\", expect_size=\"36963328\"] \n  1 -> 2 [size =\"36963328\"]\n  2 [size=\"31375360\", alpha=\"0.11\", expect_size=\"9412608\"] \n  2 -> 3 [size =\"9412608\"]\n  2 -> 4 [size =\"9412608\"]\n  3 [size=\"131570347\", alpha=\"0.08\", expect_size=\"39471104\"] \n  3 -> 5 [size =\"39471104\"]\n  4 [size=\"102843733\", alpha=\"0.08\", expect_size=\"30853120\"] \n  4 -> 6 [size =\"30853120\"]\n  5 [size=\"94569813\", alpha=\"0.19\", expect_size=\"28370944\"] \n  5 -> 7 [size =\"28370944\"]\n  5 -> 8 [size =\"28370944\"]\n  6 [size=\"115124907\", alpha=\"0.14\", expect_size=\"34537472\"] \n  7 [size=\"103922347\", alpha=\"0.14\", expect_size=\"31176704\"] \n  7 -> 9 [size =\"31176704\"]\n  8 [size=\"80554667\", alpha=\"0.14\", expect_size=\"24166400\"] \n  8 -> 10 [size =\"24166400\"]\n  9 [size=\"170345813\", alpha=\"0.01\", expect_size=\"51103744\"] \n  9 -> 12 [size =\"51103744\"]\n  10 [size=\"131976533\", alpha=\"0.07\", expect_size=\"39592960\"] \n  10 -> 11 [size =\"39592960\"]\n  11 [size=\"112049493\", alpha=\"0.10\", expect_size=\"33614848\"] \n  11 -> 14 [size =\"33614848\"]\n  12 [size=\"108834133\", alpha=\"0.20\", expect_size=\"32650240\"] \n  12 -> 13 [size =\"32650240\"]\n  13 [size=\"41011200\", alpha=\"0.07\", expect_size=\"12303360\"] \n  14 [size=\"101065387\", alpha=\"0.15\", expect_size=\"30319616\"] \n  14 -> 15 [size =\"30319616\"]\n  15 [size=\"162522453\", alpha=\"0.17\", expect_size=\"48756736\"] \n  15 -> 16 [size =\"48756736\"]\n  15 -> 17 [size =\"48756736\"]\n  16 [size=\"151275520\", alpha=\"0.03\", expect_size=\"45382656\"] \n  16 -> 18 [size =\"45382656\"]\n  16 -> 19 [size =\"45382656\"]\n  17 [size=\"105786027\", alpha=\"0.07\", expect_size=\"31735808\"] \n  18 [size=\"55709013\", alpha=\"0.12\", expect_size=\"16712704\"] \n  19 [size=\"165761707\", alpha=\"0.11\", expect_size=\"49728512\"] \n  19 -> 20 [size =\"49728512\"]\n  20 [size=\"171663360\", alpha=\"0.14\", expect_size=\"51499008\"] \n  20 -> 21 [size =\"51499008\"]\n  20 -> 22 [size =\"51499008\"]\n  21 [size=\"72014507\", alpha=\"0.10\", expect_size=\"21604352\"] \n  22 [size=\"146817707\", alpha=\"0.09\", expect_size=\"44045312\"] \n  22 -> 23 [size =\"44045312\"]\n  23 [size=\"145783467\", alpha=\"0.02\", expect_size=\"43735040\"] \n  23 -> 24 [size =\"43735040\"]\n  24 [size=\"44277760\", alpha=\"0.05\", expect_size=\"13283328\"] \n  24 -> 25 [size =\"13283328\"]\n  25 [size=\"165246293\", alpha=\"0.19\", expect_size=\"49573888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21184000\", alpha=\"0.08\", expect_size=\"8473600\"] \n  1 -> 10 [size =\"8473600\"]\n  1 -> 11 [size =\"8473600\"]\n  1 -> 13 [size =\"8473600\"]\n  1 -> 15 [size =\"8473600\"]\n  2 [size=\"21713920\", alpha=\"0.13\", expect_size=\"8685568\"] \n  2 -> 13 [size =\"8685568\"]\n  2 -> 16 [size =\"8685568\"]\n  3 [size=\"41395200\", alpha=\"0.03\", expect_size=\"16558080\"] \n  3 -> 10 [size =\"16558080\"]\n  3 -> 13 [size =\"16558080\"]\n  3 -> 14 [size =\"16558080\"]\n  3 -> 15 [size =\"16558080\"]\n  4 [size=\"78978560\", alpha=\"0.16\", expect_size=\"31591424\"] \n  4 -> 9 [size =\"31591424\"]\n  4 -> 13 [size =\"31591424\"]\n  4 -> 15 [size =\"31591424\"]\n  4 -> 17 [size =\"31591424\"]\n  5 [size=\"47613440\", alpha=\"0.13\", expect_size=\"19045376\"] \n  5 -> 15 [size =\"19045376\"]\n  5 -> 16 [size =\"19045376\"]\n  5 -> 17 [size =\"19045376\"]\n  6 [size=\"115307520\", alpha=\"0.03\", expect_size=\"46123008\"] \n  6 -> 9 [size =\"46123008\"]\n  6 -> 17 [size =\"46123008\"]\n  6 -> 17 [size =\"46123008\"]\n  7 [size=\"93102080\", alpha=\"0.12\", expect_size=\"37240832\"] \n  7 -> 10 [size =\"37240832\"]\n  7 -> 12 [size =\"37240832\"]\n  7 -> 13 [size =\"37240832\"]\n  8 [size=\"112496640\", alpha=\"0.17\", expect_size=\"44998656\"] \n  8 -> 10 [size =\"44998656\"]\n  8 -> 13 [size =\"44998656\"]\n  9 [size=\"46617600\", alpha=\"0.14\", expect_size=\"18647040\"] \n  9 -> 22 [size =\"18647040\"]\n  9 -> 25 [size =\"18647040\"]\n  10 [size=\"91417600\", alpha=\"0.05\", expect_size=\"36567040\"] \n  10 -> 18 [size =\"36567040\"]\n  10 -> 21 [size =\"36567040\"]\n  10 -> 23 [size =\"36567040\"]\n  10 -> 25 [size =\"36567040\"]\n  11 [size=\"78292480\", alpha=\"0.11\", expect_size=\"31316992\"] \n  11 -> 18 [size =\"31316992\"]\n  11 -> 19 [size =\"31316992\"]\n  11 -> 21 [size =\"31316992\"]\n  11 -> 22 [size =\"31316992\"]\n  11 -> 24 [size =\"31316992\"]\n  11 -> 25 [size =\"31316992\"]\n  12 [size=\"127114240\", alpha=\"0.13\", expect_size=\"50845696\"] \n  12 -> 19 [size =\"50845696\"]\n  12 -> 21 [size =\"50845696\"]\n  12 -> 22 [size =\"50845696\"]\n  12 -> 24 [size =\"50845696\"]\n  13 [size=\"83550720\", alpha=\"0.17\", expect_size=\"33420288\"] \n  13 -> 18 [size =\"33420288\"]\n  13 -> 19 [size =\"33420288\"]\n  13 -> 22 [size =\"33420288\"]\n  13 -> 23 [size =\"33420288\"]\n  14 [size=\"102848000\", alpha=\"0.14\", expect_size=\"41139200\"] \n  14 -> 19 [size =\"41139200\"]\n  14 -> 21 [size =\"41139200\"]\n  14 -> 22 [size =\"41139200\"]\n  14 -> 23 [size =\"41139200\"]\n  15 [size=\"80957440\", alpha=\"0.15\", expect_size=\"32382976\"] \n  15 -> 21 [size =\"32382976\"]\n  15 -> 25 [size =\"32382976\"]\n  16 [size=\"38522880\", alpha=\"0.03\", expect_size=\"15409152\"] \n  16 -> 20 [size =\"15409152\"]\n  16 -> 22 [size =\"15409152\"]\n  16 -> 25 [size =\"15409152\"]\n  17 [size=\"58045440\", alpha=\"0.05\", expect_size=\"23218176\"] \n  17 -> 18 [size =\"23218176\"]\n  17 -> 24 [size =\"23218176\"]\n  18 [size=\"129612800\", alpha=\"0.05\", expect_size=\"51845120\"] \n  19 [size=\"110440960\", alpha=\"0.19\", expect_size=\"44176384\"] \n  20 [size=\"74647040\", alpha=\"0.19\", expect_size=\"29858816\"] \n  21 [size=\"105392640\", alpha=\"0.01\", expect_size=\"42157056\"] \n  22 [size=\"53726720\", alpha=\"0.04\", expect_size=\"21490688\"] \n  23 [size=\"129510400\", alpha=\"0.12\", expect_size=\"51804160\"] \n  24 [size=\"114429440\", alpha=\"0.11\", expect_size=\"45771776\"] \n  25 [size=\"78049280\", alpha=\"0.16\", expect_size=\"31219712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71697920\", alpha=\"0.13\", expect_size=\"28679168\"] \n  1 -> 20 [size =\"28679168\"]\n  1 -> 23 [size =\"28679168\"]\n  1 -> 24 [size =\"28679168\"]\n  1 -> 25 [size =\"28679168\"]\n  2 [size=\"114396160\", alpha=\"0.13\", expect_size=\"45758464\"] \n  2 -> 19 [size =\"45758464\"]\n  2 -> 23 [size =\"45758464\"]\n  3 [size=\"42060800\", alpha=\"0.05\", expect_size=\"16824320\"] \n  3 -> 19 [size =\"16824320\"]\n  4 [size=\"71129600\", alpha=\"0.19\", expect_size=\"28451840\"] \n  4 -> 19 [size =\"28451840\"]\n  4 -> 23 [size =\"28451840\"]\n  4 -> 24 [size =\"28451840\"]\n  4 -> 25 [size =\"28451840\"]\n  5 [size=\"107837440\", alpha=\"0.18\", expect_size=\"43134976\"] \n  5 -> 23 [size =\"43134976\"]\n  5 -> 25 [size =\"43134976\"]\n  6 [size=\"33784320\", alpha=\"0.05\", expect_size=\"13513728\"] \n  6 -> 24 [size =\"13513728\"]\n  7 [size=\"50624000\", alpha=\"0.11\", expect_size=\"20249600\"] \n  7 -> 19 [size =\"20249600\"]\n  7 -> 21 [size =\"20249600\"]\n  7 -> 22 [size =\"20249600\"]\n  7 -> 25 [size =\"20249600\"]\n  8 [size=\"55380480\", alpha=\"0.09\", expect_size=\"22152192\"] \n  9 [size=\"44769280\", alpha=\"0.17\", expect_size=\"17907712\"] \n  9 -> 22 [size =\"17907712\"]\n  9 -> 24 [size =\"17907712\"]\n  10 [size=\"52981760\", alpha=\"0.09\", expect_size=\"21192704\"] \n  10 -> 20 [size =\"21192704\"]\n  10 -> 22 [size =\"21192704\"]\n  10 -> 23 [size =\"21192704\"]\n  10 -> 24 [size =\"21192704\"]\n  11 [size=\"40373760\", alpha=\"0.13\", expect_size=\"16149504\"] \n  11 -> 25 [size =\"16149504\"]\n  12 [size=\"119756800\", alpha=\"0.19\", expect_size=\"47902720\"] \n  13 [size=\"81379840\", alpha=\"0.07\", expect_size=\"32551936\"] \n  13 -> 21 [size =\"32551936\"]\n  13 -> 22 [size =\"32551936\"]\n  13 -> 25 [size =\"32551936\"]\n  14 [size=\"111324160\", alpha=\"0.05\", expect_size=\"44529664\"] \n  14 -> 22 [size =\"44529664\"]\n  14 -> 24 [size =\"44529664\"]\n  15 [size=\"102970880\", alpha=\"0.09\", expect_size=\"41188352\"] \n  15 -> 19 [size =\"41188352\"]\n  15 -> 20 [size =\"41188352\"]\n  15 -> 21 [size =\"41188352\"]\n  15 -> 24 [size =\"41188352\"]\n  16 [size=\"91791360\", alpha=\"0.04\", expect_size=\"36716544\"] \n  16 -> 19 [size =\"36716544\"]\n  16 -> 22 [size =\"36716544\"]\n  16 -> 23 [size =\"36716544\"]\n  16 -> 24 [size =\"36716544\"]\n  16 -> 25 [size =\"36716544\"]\n  17 [size=\"120519680\", alpha=\"0.00\", expect_size=\"48207872\"] \n  17 -> 19 [size =\"48207872\"]\n  17 -> 20 [size =\"48207872\"]\n  17 -> 23 [size =\"48207872\"]\n  17 -> 25 [size =\"48207872\"]\n  18 [size=\"66956800\", alpha=\"0.16\", expect_size=\"26782720\"] \n  18 -> 20 [size =\"26782720\"]\n  18 -> 24 [size =\"26782720\"]\n  18 -> 25 [size =\"26782720\"]\n  19 [size=\"122521600\", alpha=\"0.00\", expect_size=\"49008640\"] \n  20 [size=\"107589120\", alpha=\"0.08\", expect_size=\"43035648\"] \n  21 [size=\"41536000\", alpha=\"0.07\", expect_size=\"16614400\"] \n  22 [size=\"118479360\", alpha=\"0.02\", expect_size=\"47391744\"] \n  23 [size=\"112747520\", alpha=\"0.02\", expect_size=\"45099008\"] \n  24 [size=\"37890560\", alpha=\"0.12\", expect_size=\"15156224\"] \n  25 [size=\"65282560\", alpha=\"0.18\", expect_size=\"26113024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113187840\", alpha=\"0.05\", expect_size=\"45275136\"] \n  1 -> 5 [size =\"45275136\"]\n  2 [size=\"108198400\", alpha=\"0.00\", expect_size=\"43279360\"] \n  2 -> 6 [size =\"43279360\"]\n  3 [size=\"104519680\", alpha=\"0.05\", expect_size=\"41807872\"] \n  3 -> 4 [size =\"41807872\"]\n  3 -> 5 [size =\"41807872\"]\n  3 -> 6 [size =\"41807872\"]\n  4 [size=\"94545920\", alpha=\"0.01\", expect_size=\"37818368\"] \n  4 -> 9 [size =\"37818368\"]\n  5 [size=\"124797440\", alpha=\"0.19\", expect_size=\"49918976\"] \n  5 -> 7 [size =\"49918976\"]\n  5 -> 8 [size =\"49918976\"]\n  6 [size=\"81728000\", alpha=\"0.18\", expect_size=\"32691200\"] \n  6 -> 7 [size =\"32691200\"]\n  6 -> 8 [size =\"32691200\"]\n  6 -> 9 [size =\"32691200\"]\n  7 [size=\"91619840\", alpha=\"0.11\", expect_size=\"36647936\"] \n  7 -> 11 [size =\"36647936\"]\n  7 -> 12 [size =\"36647936\"]\n  7 -> 13 [size =\"36647936\"]\n  8 [size=\"64913920\", alpha=\"0.16\", expect_size=\"25965568\"] \n  8 -> 10 [size =\"25965568\"]\n  8 -> 11 [size =\"25965568\"]\n  8 -> 13 [size =\"25965568\"]\n  9 [size=\"90206720\", alpha=\"0.13\", expect_size=\"36082688\"] \n  9 -> 10 [size =\"36082688\"]\n  9 -> 12 [size =\"36082688\"]\n  10 [size=\"35379200\", alpha=\"0.04\", expect_size=\"14151680\"] \n  10 -> 17 [size =\"14151680\"]\n  11 [size=\"65804800\", alpha=\"0.15\", expect_size=\"26321920\"] \n  11 -> 16 [size =\"26321920\"]\n  11 -> 17 [size =\"26321920\"]\n  12 [size=\"97029120\", alpha=\"0.08\", expect_size=\"38811648\"] \n  12 -> 14 [size =\"38811648\"]\n  13 [size=\"99768320\", alpha=\"0.01\", expect_size=\"39907328\"] \n  13 -> 14 [size =\"39907328\"]\n  13 -> 15 [size =\"39907328\"]\n  13 -> 17 [size =\"39907328\"]\n  14 [size=\"130104320\", alpha=\"0.13\", expect_size=\"52041728\"] \n  14 -> 18 [size =\"52041728\"]\n  14 -> 20 [size =\"52041728\"]\n  15 [size=\"18493440\", alpha=\"0.11\", expect_size=\"7397376\"] \n  15 -> 19 [size =\"7397376\"]\n  16 [size=\"128875520\", alpha=\"0.06\", expect_size=\"51550208\"] \n  16 -> 20 [size =\"51550208\"]\n  17 [size=\"118353920\", alpha=\"0.07\", expect_size=\"47341568\"] \n  18 [size=\"63623680\", alpha=\"0.20\", expect_size=\"25449472\"] \n  18 -> 21 [size =\"25449472\"]\n  18 -> 23 [size =\"25449472\"]\n  19 [size=\"41807360\", alpha=\"0.14\", expect_size=\"16722944\"] \n  19 -> 21 [size =\"16722944\"]\n  19 -> 24 [size =\"16722944\"]\n  20 [size=\"119920640\", alpha=\"0.14\", expect_size=\"47968256\"] \n  20 -> 22 [size =\"47968256\"]\n  21 [size=\"22835200\", alpha=\"0.11\", expect_size=\"9134080\"] \n  22 [size=\"111628800\", alpha=\"0.04\", expect_size=\"44651520\"] \n  23 [size=\"42365440\", alpha=\"0.13\", expect_size=\"16946176\"] \n  23 -> 25 [size =\"16946176\"]\n  24 [size=\"47032320\", alpha=\"0.16\", expect_size=\"18812928\"] \n  25 [size=\"126481920\", alpha=\"0.17\", expect_size=\"50592768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59783168\", alpha=\"0.13\", expect_size=\"29891584\"] \n  1 -> 2 [size =\"29891584\"]\n  2 [size=\"73752576\", alpha=\"0.18\", expect_size=\"36876288\"] \n  2 -> 3 [size =\"36876288\"]\n  3 [size=\"79816704\", alpha=\"0.08\", expect_size=\"39908352\"] \n  3 -> 4 [size =\"39908352\"]\n  4 [size=\"90259456\", alpha=\"0.00\", expect_size=\"45129728\"] \n  4 -> 5 [size =\"45129728\"]\n  5 [size=\"29190144\", alpha=\"0.13\", expect_size=\"14595072\"] \n  5 -> 6 [size =\"14595072\"]\n  6 [size=\"37468160\", alpha=\"0.08\", expect_size=\"18734080\"] \n  6 -> 7 [size =\"18734080\"]\n  7 [size=\"51185664\", alpha=\"0.09\", expect_size=\"25592832\"] \n  7 -> 8 [size =\"25592832\"]\n  8 [size=\"54720512\", alpha=\"0.13\", expect_size=\"27360256\"] \n  8 -> 9 [size =\"27360256\"]\n  9 [size=\"51757056\", alpha=\"0.10\", expect_size=\"25878528\"] \n  9 -> 10 [size =\"25878528\"]\n  10 [size=\"77629440\", alpha=\"0.10\", expect_size=\"38814720\"] \n  10 -> 11 [size =\"38814720\"]\n  11 [size=\"104650752\", alpha=\"0.14\", expect_size=\"52325376\"] \n  11 -> 12 [size =\"52325376\"]\n  12 [size=\"72955904\", alpha=\"0.14\", expect_size=\"36477952\"] \n  12 -> 13 [size =\"36477952\"]\n  13 [size=\"61161472\", alpha=\"0.09\", expect_size=\"30580736\"] \n  13 -> 14 [size =\"30580736\"]\n  14 [size=\"100812800\", alpha=\"0.09\", expect_size=\"50406400\"] \n  14 -> 15 [size =\"50406400\"]\n  15 [size=\"102082560\", alpha=\"0.04\", expect_size=\"51041280\"] \n  15 -> 16 [size =\"51041280\"]\n  16 [size=\"71114752\", alpha=\"0.09\", expect_size=\"35557376\"] \n  16 -> 17 [size =\"35557376\"]\n  17 [size=\"14028800\", alpha=\"0.04\", expect_size=\"7014400\"] \n  17 -> 18 [size =\"7014400\"]\n  18 [size=\"55828480\", alpha=\"0.18\", expect_size=\"27914240\"] \n  18 -> 19 [size =\"27914240\"]\n  19 [size=\"22099968\", alpha=\"0.01\", expect_size=\"11049984\"] \n  19 -> 20 [size =\"11049984\"]\n  20 [size=\"68380672\", alpha=\"0.12\", expect_size=\"34190336\"] \n  20 -> 21 [size =\"34190336\"]\n  21 [size=\"22986752\", alpha=\"0.14\", expect_size=\"11493376\"] \n  21 -> 22 [size =\"11493376\"]\n  22 [size=\"89436160\", alpha=\"0.09\", expect_size=\"44718080\"] \n  22 -> 23 [size =\"44718080\"]\n  23 [size=\"59834368\", alpha=\"0.18\", expect_size=\"29917184\"] \n  23 -> 24 [size =\"29917184\"]\n  24 [size=\"103804928\", alpha=\"0.05\", expect_size=\"51902464\"] \n  24 -> 25 [size =\"51902464\"]\n  25 [size=\"51050496\", alpha=\"0.15\", expect_size=\"25525248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53968896\", alpha=\"0.06\", expect_size=\"26984448\"] \n  1 -> 6 [size =\"26984448\"]\n  1 -> 7 [size =\"26984448\"]\n  2 [size=\"22896640\", alpha=\"0.03\", expect_size=\"11448320\"] \n  2 -> 6 [size =\"11448320\"]\n  2 -> 7 [size =\"11448320\"]\n  3 [size=\"35022848\", alpha=\"0.12\", expect_size=\"17511424\"] \n  3 -> 6 [size =\"17511424\"]\n  3 -> 7 [size =\"17511424\"]\n  4 [size=\"31350784\", alpha=\"0.18\", expect_size=\"15675392\"] \n  4 -> 6 [size =\"15675392\"]\n  4 -> 7 [size =\"15675392\"]\n  5 [size=\"19363840\", alpha=\"0.17\", expect_size=\"9681920\"] \n  6 [size=\"88522752\", alpha=\"0.17\", expect_size=\"44261376\"] \n  6 -> 8 [size =\"44261376\"]\n  6 -> 9 [size =\"44261376\"]\n  6 -> 10 [size =\"44261376\"]\n  6 -> 11 [size =\"44261376\"]\n  7 [size=\"66027520\", alpha=\"0.15\", expect_size=\"33013760\"] \n  7 -> 8 [size =\"33013760\"]\n  7 -> 9 [size =\"33013760\"]\n  7 -> 10 [size =\"33013760\"]\n  7 -> 11 [size =\"33013760\"]\n  8 [size=\"64362496\", alpha=\"0.14\", expect_size=\"32181248\"] \n  8 -> 12 [size =\"32181248\"]\n  8 -> 13 [size =\"32181248\"]\n  8 -> 14 [size =\"32181248\"]\n  9 [size=\"68255744\", alpha=\"0.04\", expect_size=\"34127872\"] \n  9 -> 12 [size =\"34127872\"]\n  10 [size=\"12019712\", alpha=\"0.19\", expect_size=\"6009856\"] \n  10 -> 12 [size =\"6009856\"]\n  10 -> 13 [size =\"6009856\"]\n  10 -> 14 [size =\"6009856\"]\n  11 [size=\"44953600\", alpha=\"0.14\", expect_size=\"22476800\"] \n  11 -> 12 [size =\"22476800\"]\n  11 -> 13 [size =\"22476800\"]\n  11 -> 14 [size =\"22476800\"]\n  12 [size=\"71837696\", alpha=\"0.03\", expect_size=\"35918848\"] \n  12 -> 17 [size =\"35918848\"]\n  13 [size=\"83945472\", alpha=\"0.14\", expect_size=\"41972736\"] \n  13 -> 15 [size =\"41972736\"]\n  13 -> 16 [size =\"41972736\"]\n  14 [size=\"48302080\", alpha=\"0.15\", expect_size=\"24151040\"] \n  14 -> 16 [size =\"24151040\"]\n  14 -> 16 [size =\"24151040\"]\n  15 [size=\"36970496\", alpha=\"0.05\", expect_size=\"18485248\"] \n  15 -> 18 [size =\"18485248\"]\n  16 [size=\"22280192\", alpha=\"0.19\", expect_size=\"11140096\"] \n  16 -> 18 [size =\"11140096\"]\n  17 [size=\"104677376\", alpha=\"0.18\", expect_size=\"52338688\"] \n  17 -> 18 [size =\"52338688\"]\n  17 -> 19 [size =\"52338688\"]\n  18 [size=\"78784512\", alpha=\"0.05\", expect_size=\"39392256\"] \n  18 -> 20 [size =\"39392256\"]\n  18 -> 21 [size =\"39392256\"]\n  18 -> 22 [size =\"39392256\"]\n  18 -> 23 [size =\"39392256\"]\n  19 [size=\"52584448\", alpha=\"0.06\", expect_size=\"26292224\"] \n  19 -> 20 [size =\"26292224\"]\n  19 -> 21 [size =\"26292224\"]\n  19 -> 22 [size =\"26292224\"]\n  19 -> 23 [size =\"26292224\"]\n  20 [size=\"72486912\", alpha=\"0.12\", expect_size=\"36243456\"] \n  20 -> 24 [size =\"36243456\"]\n  20 -> 25 [size =\"36243456\"]\n  21 [size=\"67688448\", alpha=\"0.07\", expect_size=\"33844224\"] \n  21 -> 24 [size =\"33844224\"]\n  21 -> 25 [size =\"33844224\"]\n  22 [size=\"38989824\", alpha=\"0.05\", expect_size=\"19494912\"] \n  23 [size=\"54155264\", alpha=\"0.08\", expect_size=\"27077632\"] \n  24 [size=\"26705920\", alpha=\"0.15\", expect_size=\"13352960\"] \n  25 [size=\"95834112\", alpha=\"0.04\", expect_size=\"47917056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137103360\", alpha=\"0.04\", expect_size=\"41131008\"] \n  1 -> 2 [size =\"41131008\"]\n  2 [size=\"135775573\", alpha=\"0.15\", expect_size=\"40732672\"] \n  2 -> 3 [size =\"40732672\"]\n  2 -> 4 [size =\"40732672\"]\n  3 [size=\"109530453\", alpha=\"0.07\", expect_size=\"32859136\"] \n  3 -> 5 [size =\"32859136\"]\n  4 [size=\"21790720\", alpha=\"0.18\", expect_size=\"6537216\"] \n  5 [size=\"52343467\", alpha=\"0.03\", expect_size=\"15703040\"] \n  5 -> 6 [size =\"15703040\"]\n  5 -> 7 [size =\"15703040\"]\n  6 [size=\"110803627\", alpha=\"0.05\", expect_size=\"33241088\"] \n  6 -> 8 [size =\"33241088\"]\n  6 -> 9 [size =\"33241088\"]\n  7 [size=\"75735040\", alpha=\"0.15\", expect_size=\"22720512\"] \n  7 -> 8 [size =\"22720512\"]\n  7 -> 9 [size =\"22720512\"]\n  8 [size=\"67020800\", alpha=\"0.13\", expect_size=\"20106240\"] \n  9 [size=\"115790507\", alpha=\"0.18\", expect_size=\"34737152\"] \n  9 -> 10 [size =\"34737152\"]\n  10 [size=\"153361067\", alpha=\"0.18\", expect_size=\"46008320\"] \n  10 -> 11 [size =\"46008320\"]\n  10 -> 12 [size =\"46008320\"]\n  11 [size=\"73680213\", alpha=\"0.16\", expect_size=\"22104064\"] \n  11 -> 14 [size =\"22104064\"]\n  12 [size=\"107093333\", alpha=\"0.08\", expect_size=\"32128000\"] \n  12 -> 13 [size =\"32128000\"]\n  13 [size=\"69311147\", alpha=\"0.12\", expect_size=\"20793344\"] \n  14 [size=\"123207680\", alpha=\"0.19\", expect_size=\"36962304\"] \n  14 -> 15 [size =\"36962304\"]\n  14 -> 16 [size =\"36962304\"]\n  15 [size=\"111080107\", alpha=\"0.11\", expect_size=\"33324032\"] \n  15 -> 17 [size =\"33324032\"]\n  16 [size=\"132744533\", alpha=\"0.19\", expect_size=\"39823360\"] \n  17 [size=\"17616213\", alpha=\"0.01\", expect_size=\"5284864\"] \n  17 -> 18 [size =\"5284864\"]\n  18 [size=\"132471467\", alpha=\"0.15\", expect_size=\"39741440\"] \n  18 -> 19 [size =\"39741440\"]\n  19 [size=\"77206187\", alpha=\"0.17\", expect_size=\"23161856\"] \n  19 -> 20 [size =\"23161856\"]\n  20 [size=\"64453973\", alpha=\"0.15\", expect_size=\"19336192\"] \n  20 -> 21 [size =\"19336192\"]\n  20 -> 22 [size =\"19336192\"]\n  21 [size=\"47192747\", alpha=\"0.08\", expect_size=\"14157824\"] \n  21 -> 23 [size =\"14157824\"]\n  21 -> 24 [size =\"14157824\"]\n  22 [size=\"173779627\", alpha=\"0.16\", expect_size=\"52133888\"] \n  22 -> 23 [size =\"52133888\"]\n  22 -> 24 [size =\"52133888\"]\n  23 [size=\"82571947\", alpha=\"0.16\", expect_size=\"24771584\"] \n  23 -> 25 [size =\"24771584\"]\n  24 [size=\"20247893\", alpha=\"0.16\", expect_size=\"6074368\"] \n  24 -> 25 [size =\"6074368\"]\n  25 [size=\"170830507\", alpha=\"0.00\", expect_size=\"51249152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28391424\", alpha=\"0.07\", expect_size=\"14195712\"] \n  1 -> 6 [size =\"14195712\"]\n  1 -> 7 [size =\"14195712\"]\n  2 [size=\"37613568\", alpha=\"0.17\", expect_size=\"18806784\"] \n  2 -> 4 [size =\"18806784\"]\n  2 -> 5 [size =\"18806784\"]\n  3 [size=\"32792576\", alpha=\"0.17\", expect_size=\"16396288\"] \n  3 -> 6 [size =\"16396288\"]\n  4 [size=\"37853184\", alpha=\"0.01\", expect_size=\"18926592\"] \n  4 -> 10 [size =\"18926592\"]\n  5 [size=\"48005120\", alpha=\"0.13\", expect_size=\"24002560\"] \n  6 [size=\"41443328\", alpha=\"0.16\", expect_size=\"20721664\"] \n  6 -> 8 [size =\"20721664\"]\n  6 -> 9 [size =\"20721664\"]\n  7 [size=\"52701184\", alpha=\"0.12\", expect_size=\"26350592\"] \n  8 [size=\"43476992\", alpha=\"0.01\", expect_size=\"21738496\"] \n  8 -> 11 [size =\"21738496\"]\n  9 [size=\"14958592\", alpha=\"0.06\", expect_size=\"7479296\"] \n  9 -> 11 [size =\"7479296\"]\n  9 -> 12 [size =\"7479296\"]\n  9 -> 13 [size =\"7479296\"]\n  10 [size=\"75849728\", alpha=\"0.10\", expect_size=\"37924864\"] \n  11 [size=\"79155200\", alpha=\"0.02\", expect_size=\"39577600\"] \n  11 -> 15 [size =\"39577600\"]\n  11 -> 16 [size =\"39577600\"]\n  12 [size=\"15906816\", alpha=\"0.04\", expect_size=\"7953408\"] \n  12 -> 14 [size =\"7953408\"]\n  12 -> 17 [size =\"7953408\"]\n  13 [size=\"95531008\", alpha=\"0.02\", expect_size=\"47765504\"] \n  13 -> 15 [size =\"47765504\"]\n  14 [size=\"82196480\", alpha=\"0.08\", expect_size=\"41098240\"] \n  14 -> 18 [size =\"41098240\"]\n  14 -> 19 [size =\"41098240\"]\n  15 [size=\"85895168\", alpha=\"0.02\", expect_size=\"42947584\"] \n  15 -> 20 [size =\"42947584\"]\n  16 [size=\"54732800\", alpha=\"0.15\", expect_size=\"27366400\"] \n  16 -> 21 [size =\"27366400\"]\n  17 [size=\"36546560\", alpha=\"0.11\", expect_size=\"18273280\"] \n  17 -> 18 [size =\"18273280\"]\n  18 [size=\"94681088\", alpha=\"0.17\", expect_size=\"47340544\"] \n  18 -> 22 [size =\"47340544\"]\n  18 -> 24 [size =\"47340544\"]\n  19 [size=\"99409920\", alpha=\"0.13\", expect_size=\"49704960\"] \n  19 -> 23 [size =\"49704960\"]\n  20 [size=\"35581952\", alpha=\"0.00\", expect_size=\"17790976\"] \n  21 [size=\"83859456\", alpha=\"0.12\", expect_size=\"41929728\"] \n  21 -> 22 [size =\"41929728\"]\n  21 -> 23 [size =\"41929728\"]\n  22 [size=\"93646848\", alpha=\"0.09\", expect_size=\"46823424\"] \n  23 [size=\"16435200\", alpha=\"0.11\", expect_size=\"8217600\"] \n  23 -> 25 [size =\"8217600\"]\n  24 [size=\"23853056\", alpha=\"0.19\", expect_size=\"11926528\"] \n  25 [size=\"60360704\", alpha=\"0.15\", expect_size=\"30180352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18657280\", alpha=\"0.18\", expect_size=\"5597184\"] \n  1 -> 7 [size =\"5597184\"]\n  2 [size=\"36041387\", alpha=\"0.05\", expect_size=\"10812416\"] \n  2 -> 6 [size =\"10812416\"]\n  3 [size=\"70983680\", alpha=\"0.17\", expect_size=\"21295104\"] \n  3 -> 7 [size =\"21295104\"]\n  3 -> 8 [size =\"21295104\"]\n  4 [size=\"164843520\", alpha=\"0.16\", expect_size=\"49453056\"] \n  4 -> 6 [size =\"49453056\"]\n  4 -> 8 [size =\"49453056\"]\n  4 -> 9 [size =\"49453056\"]\n  5 [size=\"50411520\", alpha=\"0.14\", expect_size=\"15123456\"] \n  5 -> 6 [size =\"15123456\"]\n  6 [size=\"150814720\", alpha=\"0.16\", expect_size=\"45244416\"] \n  6 -> 11 [size =\"45244416\"]\n  6 -> 15 [size =\"45244416\"]\n  6 -> 16 [size =\"45244416\"]\n  6 -> 17 [size =\"45244416\"]\n  6 -> 18 [size =\"45244416\"]\n  7 [size=\"105110187\", alpha=\"0.12\", expect_size=\"31533056\"] \n  7 -> 10 [size =\"31533056\"]\n  7 -> 13 [size =\"31533056\"]\n  7 -> 18 [size =\"31533056\"]\n  8 [size=\"134481920\", alpha=\"0.12\", expect_size=\"40344576\"] \n  8 -> 11 [size =\"40344576\"]\n  8 -> 12 [size =\"40344576\"]\n  8 -> 14 [size =\"40344576\"]\n  8 -> 16 [size =\"40344576\"]\n  8 -> 18 [size =\"40344576\"]\n  9 [size=\"60654933\", alpha=\"0.01\", expect_size=\"18196480\"] \n  9 -> 11 [size =\"18196480\"]\n  9 -> 12 [size =\"18196480\"]\n  9 -> 14 [size =\"18196480\"]\n  9 -> 16 [size =\"18196480\"]\n  10 [size=\"83520853\", alpha=\"0.11\", expect_size=\"25056256\"] \n  10 -> 19 [size =\"25056256\"]\n  10 -> 21 [size =\"25056256\"]\n  10 -> 22 [size =\"25056256\"]\n  10 -> 24 [size =\"25056256\"]\n  11 [size=\"147578880\", alpha=\"0.03\", expect_size=\"44273664\"] \n  11 -> 21 [size =\"44273664\"]\n  11 -> 21 [size =\"44273664\"]\n  11 -> 25 [size =\"44273664\"]\n  12 [size=\"132198400\", alpha=\"0.08\", expect_size=\"39659520\"] \n  12 -> 20 [size =\"39659520\"]\n  12 -> 21 [size =\"39659520\"]\n  12 -> 22 [size =\"39659520\"]\n  13 [size=\"171885227\", alpha=\"0.10\", expect_size=\"51565568\"] \n  13 -> 21 [size =\"51565568\"]\n  13 -> 22 [size =\"51565568\"]\n  13 -> 24 [size =\"51565568\"]\n  14 [size=\"151422293\", alpha=\"0.05\", expect_size=\"45426688\"] \n  14 -> 21 [size =\"45426688\"]\n  14 -> 22 [size =\"45426688\"]\n  15 [size=\"120466773\", alpha=\"0.01\", expect_size=\"36140032\"] \n  15 -> 19 [size =\"36140032\"]\n  15 -> 20 [size =\"36140032\"]\n  15 -> 22 [size =\"36140032\"]\n  15 -> 23 [size =\"36140032\"]\n  16 [size=\"70079147\", alpha=\"0.11\", expect_size=\"21023744\"] \n  16 -> 22 [size =\"21023744\"]\n  16 -> 23 [size =\"21023744\"]\n  17 [size=\"42229760\", alpha=\"0.02\", expect_size=\"12668928\"] \n  17 -> 23 [size =\"12668928\"]\n  17 -> 25 [size =\"12668928\"]\n  18 [size=\"135164587\", alpha=\"0.09\", expect_size=\"40549376\"] \n  18 -> 19 [size =\"40549376\"]\n  18 -> 21 [size =\"40549376\"]\n  19 [size=\"75728213\", alpha=\"0.08\", expect_size=\"22718464\"] \n  20 [size=\"83056640\", alpha=\"0.08\", expect_size=\"24916992\"] \n  21 [size=\"171902293\", alpha=\"0.07\", expect_size=\"51570688\"] \n  22 [size=\"34433707\", alpha=\"0.09\", expect_size=\"10330112\"] \n  23 [size=\"100427093\", alpha=\"0.18\", expect_size=\"30128128\"] \n  24 [size=\"25313280\", alpha=\"0.06\", expect_size=\"7593984\"] \n  25 [size=\"61815467\", alpha=\"0.17\", expect_size=\"18544640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27736747\", alpha=\"0.13\", expect_size=\"8321024\"] \n  1 -> 2 [size =\"8321024\"]\n  2 [size=\"163781973\", alpha=\"0.16\", expect_size=\"49134592\"] \n  2 -> 3 [size =\"49134592\"]\n  3 [size=\"25070933\", alpha=\"0.05\", expect_size=\"7521280\"] \n  3 -> 4 [size =\"7521280\"]\n  4 [size=\"97778347\", alpha=\"0.01\", expect_size=\"29333504\"] \n  4 -> 5 [size =\"29333504\"]\n  4 -> 6 [size =\"29333504\"]\n  5 [size=\"60730027\", alpha=\"0.08\", expect_size=\"18219008\"] \n  5 -> 7 [size =\"18219008\"]\n  5 -> 8 [size =\"18219008\"]\n  6 [size=\"79936853\", alpha=\"0.06\", expect_size=\"23981056\"] \n  6 -> 7 [size =\"23981056\"]\n  6 -> 8 [size =\"23981056\"]\n  7 [size=\"158723413\", alpha=\"0.10\", expect_size=\"47617024\"] \n  7 -> 9 [size =\"47617024\"]\n  7 -> 10 [size =\"47617024\"]\n  8 [size=\"143342933\", alpha=\"0.17\", expect_size=\"43002880\"] \n  8 -> 9 [size =\"43002880\"]\n  8 -> 10 [size =\"43002880\"]\n  9 [size=\"131341653\", alpha=\"0.18\", expect_size=\"39402496\"] \n  9 -> 11 [size =\"39402496\"]\n  10 [size=\"161109333\", alpha=\"0.19\", expect_size=\"48332800\"] \n  11 [size=\"134509227\", alpha=\"0.13\", expect_size=\"40352768\"] \n  11 -> 12 [size =\"40352768\"]\n  11 -> 13 [size =\"40352768\"]\n  12 [size=\"82244267\", alpha=\"0.02\", expect_size=\"24673280\"] \n  12 -> 14 [size =\"24673280\"]\n  13 [size=\"49131520\", alpha=\"0.16\", expect_size=\"14739456\"] \n  13 -> 14 [size =\"14739456\"]\n  13 -> 15 [size =\"14739456\"]\n  14 [size=\"89849173\", alpha=\"0.15\", expect_size=\"26954752\"] \n  14 -> 16 [size =\"26954752\"]\n  15 [size=\"101191680\", alpha=\"0.01\", expect_size=\"30357504\"] \n  15 -> 16 [size =\"30357504\"]\n  16 [size=\"166608213\", alpha=\"0.09\", expect_size=\"49982464\"] \n  16 -> 17 [size =\"49982464\"]\n  16 -> 18 [size =\"49982464\"]\n  17 [size=\"54893227\", alpha=\"0.08\", expect_size=\"16467968\"] \n  17 -> 19 [size =\"16467968\"]\n  18 [size=\"132898133\", alpha=\"0.07\", expect_size=\"39869440\"] \n  18 -> 19 [size =\"39869440\"]\n  19 [size=\"109783040\", alpha=\"0.08\", expect_size=\"32934912\"] \n  19 -> 20 [size =\"32934912\"]\n  20 [size=\"92699307\", alpha=\"0.15\", expect_size=\"27809792\"] \n  20 -> 21 [size =\"27809792\"]\n  21 [size=\"86671360\", alpha=\"0.02\", expect_size=\"26001408\"] \n  21 -> 22 [size =\"26001408\"]\n  22 [size=\"28593493\", alpha=\"0.08\", expect_size=\"8578048\"] \n  22 -> 23 [size =\"8578048\"]\n  23 [size=\"42929493\", alpha=\"0.15\", expect_size=\"12878848\"] \n  23 -> 24 [size =\"12878848\"]\n  23 -> 25 [size =\"12878848\"]\n  24 [size=\"167369387\", alpha=\"0.12\", expect_size=\"50210816\"] \n  25 [size=\"127774720\", alpha=\"0.15\", expect_size=\"38332416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25346048\", alpha=\"0.08\", expect_size=\"12673024\"] \n  1 -> 2 [size =\"12673024\"]\n  2 [size=\"70926336\", alpha=\"0.10\", expect_size=\"35463168\"] \n  2 -> 3 [size =\"35463168\"]\n  3 [size=\"31119360\", alpha=\"0.05\", expect_size=\"15559680\"] \n  3 -> 4 [size =\"15559680\"]\n  4 [size=\"95938560\", alpha=\"0.04\", expect_size=\"47969280\"] \n  4 -> 5 [size =\"47969280\"]\n  5 [size=\"81338368\", alpha=\"0.04\", expect_size=\"40669184\"] \n  5 -> 6 [size =\"40669184\"]\n  6 [size=\"89817088\", alpha=\"0.09\", expect_size=\"44908544\"] \n  6 -> 7 [size =\"44908544\"]\n  7 [size=\"40155136\", alpha=\"0.02\", expect_size=\"20077568\"] \n  7 -> 8 [size =\"20077568\"]\n  8 [size=\"100567040\", alpha=\"0.10\", expect_size=\"50283520\"] \n  8 -> 9 [size =\"50283520\"]\n  9 [size=\"48734208\", alpha=\"0.16\", expect_size=\"24367104\"] \n  9 -> 10 [size =\"24367104\"]\n  10 [size=\"52307968\", alpha=\"0.16\", expect_size=\"26153984\"] \n  10 -> 11 [size =\"26153984\"]\n  11 [size=\"52959232\", alpha=\"0.10\", expect_size=\"26479616\"] \n  11 -> 12 [size =\"26479616\"]\n  12 [size=\"90824704\", alpha=\"0.14\", expect_size=\"45412352\"] \n  12 -> 13 [size =\"45412352\"]\n  13 [size=\"44312576\", alpha=\"0.02\", expect_size=\"22156288\"] \n  13 -> 14 [size =\"22156288\"]\n  14 [size=\"66490368\", alpha=\"0.14\", expect_size=\"33245184\"] \n  14 -> 15 [size =\"33245184\"]\n  15 [size=\"83306496\", alpha=\"0.12\", expect_size=\"41653248\"] \n  15 -> 16 [size =\"41653248\"]\n  16 [size=\"101445632\", alpha=\"0.08\", expect_size=\"50722816\"] \n  16 -> 17 [size =\"50722816\"]\n  17 [size=\"48676864\", alpha=\"0.07\", expect_size=\"24338432\"] \n  17 -> 18 [size =\"24338432\"]\n  18 [size=\"59496448\", alpha=\"0.14\", expect_size=\"29748224\"] \n  18 -> 19 [size =\"29748224\"]\n  19 [size=\"104398848\", alpha=\"0.11\", expect_size=\"52199424\"] \n  19 -> 20 [size =\"52199424\"]\n  20 [size=\"84602880\", alpha=\"0.05\", expect_size=\"42301440\"] \n  20 -> 21 [size =\"42301440\"]\n  21 [size=\"68028416\", alpha=\"0.03\", expect_size=\"34014208\"] \n  21 -> 22 [size =\"34014208\"]\n  22 [size=\"21368832\", alpha=\"0.13\", expect_size=\"10684416\"] \n  22 -> 23 [size =\"10684416\"]\n  23 [size=\"88236032\", alpha=\"0.08\", expect_size=\"44118016\"] \n  23 -> 24 [size =\"44118016\"]\n  24 [size=\"95952896\", alpha=\"0.01\", expect_size=\"47976448\"] \n  24 -> 25 [size =\"47976448\"]\n  25 [size=\"67379200\", alpha=\"0.09\", expect_size=\"33689600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112204800\", alpha=\"0.12\", expect_size=\"44881920\"] \n  2 [size=\"118461440\", alpha=\"0.08\", expect_size=\"47384576\"] \n  3 [size=\"88010240\", alpha=\"0.18\", expect_size=\"35204096\"] \n  3 -> 24 [size =\"35204096\"]\n  4 [size=\"82035200\", alpha=\"0.15\", expect_size=\"32814080\"] \n  5 [size=\"33318400\", alpha=\"0.06\", expect_size=\"13327360\"] \n  5 -> 24 [size =\"13327360\"]\n  6 [size=\"61089280\", alpha=\"0.17\", expect_size=\"24435712\"] \n  7 [size=\"69685760\", alpha=\"0.06\", expect_size=\"27874304\"] \n  8 [size=\"107571200\", alpha=\"0.13\", expect_size=\"43028480\"] \n  8 -> 24 [size =\"43028480\"]\n  9 [size=\"87408640\", alpha=\"0.07\", expect_size=\"34963456\"] \n  10 [size=\"56204800\", alpha=\"0.03\", expect_size=\"22481920\"] \n  11 [size=\"56563200\", alpha=\"0.20\", expect_size=\"22625280\"] \n  12 [size=\"129477120\", alpha=\"0.11\", expect_size=\"51790848\"] \n  12 -> 25 [size =\"51790848\"]\n  13 [size=\"58204160\", alpha=\"0.07\", expect_size=\"23281664\"] \n  14 [size=\"47121920\", alpha=\"0.02\", expect_size=\"18848768\"] \n  14 -> 24 [size =\"18848768\"]\n  15 [size=\"18621440\", alpha=\"0.14\", expect_size=\"7448576\"] \n  15 -> 24 [size =\"7448576\"]\n  16 [size=\"55418880\", alpha=\"0.11\", expect_size=\"22167552\"] \n  17 [size=\"35863040\", alpha=\"0.14\", expect_size=\"14345216\"] \n  18 [size=\"70371840\", alpha=\"0.14\", expect_size=\"28148736\"] \n  18 -> 24 [size =\"28148736\"]\n  19 [size=\"28113920\", alpha=\"0.01\", expect_size=\"11245568\"] \n  19 -> 24 [size =\"11245568\"]\n  20 [size=\"70105600\", alpha=\"0.06\", expect_size=\"28042240\"] \n  21 [size=\"88570880\", alpha=\"0.08\", expect_size=\"35428352\"] \n  21 -> 24 [size =\"35428352\"]\n  22 [size=\"87424000\", alpha=\"0.08\", expect_size=\"34969600\"] \n  23 [size=\"36185600\", alpha=\"0.01\", expect_size=\"14474240\"] \n  24 [size=\"75627520\", alpha=\"0.06\", expect_size=\"30251008\"] \n  25 [size=\"90045440\", alpha=\"0.14\", expect_size=\"36018176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128389120\", alpha=\"0.08\", expect_size=\"51355648\"] \n  1 -> 3 [size =\"51355648\"]\n  1 -> 4 [size =\"51355648\"]\n  2 [size=\"39298560\", alpha=\"0.02\", expect_size=\"15719424\"] \n  3 [size=\"42938880\", alpha=\"0.00\", expect_size=\"17175552\"] \n  4 [size=\"121999360\", alpha=\"0.10\", expect_size=\"48799744\"] \n  4 -> 5 [size =\"48799744\"]\n  4 -> 6 [size =\"48799744\"]\n  5 [size=\"34421760\", alpha=\"0.09\", expect_size=\"13768704\"] \n  6 [size=\"127331840\", alpha=\"0.06\", expect_size=\"50932736\"] \n  6 -> 7 [size =\"50932736\"]\n  7 [size=\"120020480\", alpha=\"0.15\", expect_size=\"48008192\"] \n  7 -> 8 [size =\"48008192\"]\n  8 [size=\"99512320\", alpha=\"0.15\", expect_size=\"39804928\"] \n  8 -> 9 [size =\"39804928\"]\n  8 -> 10 [size =\"39804928\"]\n  9 [size=\"68349440\", alpha=\"0.13\", expect_size=\"27339776\"] \n  10 [size=\"56115200\", alpha=\"0.00\", expect_size=\"22446080\"] \n  10 -> 11 [size =\"22446080\"]\n  10 -> 12 [size =\"22446080\"]\n  11 [size=\"13729280\", alpha=\"0.04\", expect_size=\"5491712\"] \n  11 -> 14 [size =\"5491712\"]\n  12 [size=\"63170560\", alpha=\"0.16\", expect_size=\"25268224\"] \n  12 -> 13 [size =\"25268224\"]\n  13 [size=\"75609600\", alpha=\"0.10\", expect_size=\"30243840\"] \n  14 [size=\"78077440\", alpha=\"0.12\", expect_size=\"31230976\"] \n  14 -> 15 [size =\"31230976\"]\n  14 -> 16 [size =\"31230976\"]\n  15 [size=\"21875200\", alpha=\"0.02\", expect_size=\"8750080\"] \n  16 [size=\"76464640\", alpha=\"0.02\", expect_size=\"30585856\"] \n  16 -> 17 [size =\"30585856\"]\n  17 [size=\"110289920\", alpha=\"0.12\", expect_size=\"44115968\"] \n  17 -> 18 [size =\"44115968\"]\n  17 -> 19 [size =\"44115968\"]\n  18 [size=\"82769920\", alpha=\"0.18\", expect_size=\"33107968\"] \n  19 [size=\"52712960\", alpha=\"0.12\", expect_size=\"21085184\"] \n  19 -> 20 [size =\"21085184\"]\n  19 -> 21 [size =\"21085184\"]\n  20 [size=\"130741760\", alpha=\"0.08\", expect_size=\"52296704\"] \n  20 -> 22 [size =\"52296704\"]\n  21 [size=\"14297600\", alpha=\"0.03\", expect_size=\"5719040\"] \n  22 [size=\"35000320\", alpha=\"0.03\", expect_size=\"14000128\"] \n  22 -> 23 [size =\"14000128\"]\n  23 [size=\"13568000\", alpha=\"0.08\", expect_size=\"5427200\"] \n  23 -> 24 [size =\"5427200\"]\n  23 -> 25 [size =\"5427200\"]\n  24 [size=\"72345600\", alpha=\"0.11\", expect_size=\"28938240\"] \n  25 [size=\"22410240\", alpha=\"0.18\", expect_size=\"8964096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67031040\", alpha=\"0.04\", expect_size=\"33515520\"] \n  1 -> 3 [size =\"33515520\"]\n  2 [size=\"46637056\", alpha=\"0.03\", expect_size=\"23318528\"] \n  2 -> 4 [size =\"23318528\"]\n  3 [size=\"95377408\", alpha=\"0.09\", expect_size=\"47688704\"] \n  3 -> 8 [size =\"47688704\"]\n  4 [size=\"21063680\", alpha=\"0.15\", expect_size=\"10531840\"] \n  4 -> 5 [size =\"10531840\"]\n  4 -> 6 [size =\"10531840\"]\n  4 -> 7 [size =\"10531840\"]\n  5 [size=\"44996608\", alpha=\"0.15\", expect_size=\"22498304\"] \n  5 -> 9 [size =\"22498304\"]\n  5 -> 10 [size =\"22498304\"]\n  6 [size=\"47040512\", alpha=\"0.09\", expect_size=\"23520256\"] \n  6 -> 10 [size =\"23520256\"]\n  7 [size=\"64993280\", alpha=\"0.02\", expect_size=\"32496640\"] \n  8 [size=\"77215744\", alpha=\"0.05\", expect_size=\"38607872\"] \n  8 -> 9 [size =\"38607872\"]\n  9 [size=\"34199552\", alpha=\"0.12\", expect_size=\"17099776\"] \n  9 -> 11 [size =\"17099776\"]\n  10 [size=\"12374016\", alpha=\"0.13\", expect_size=\"6187008\"] \n  10 -> 12 [size =\"6187008\"]\n  10 -> 13 [size =\"6187008\"]\n  11 [size=\"92385280\", alpha=\"0.02\", expect_size=\"46192640\"] \n  11 -> 15 [size =\"46192640\"]\n  11 -> 16 [size =\"46192640\"]\n  12 [size=\"18884608\", alpha=\"0.01\", expect_size=\"9442304\"] \n  12 -> 14 [size =\"9442304\"]\n  12 -> 17 [size =\"9442304\"]\n  13 [size=\"30689280\", alpha=\"0.12\", expect_size=\"15344640\"] \n  13 -> 14 [size =\"15344640\"]\n  13 -> 18 [size =\"15344640\"]\n  14 [size=\"73050112\", alpha=\"0.01\", expect_size=\"36525056\"] \n  14 -> 19 [size =\"36525056\"]\n  14 -> 20 [size =\"36525056\"]\n  15 [size=\"49598464\", alpha=\"0.13\", expect_size=\"24799232\"] \n  16 [size=\"27381760\", alpha=\"0.14\", expect_size=\"13690880\"] \n  16 -> 20 [size =\"13690880\"]\n  17 [size=\"69341184\", alpha=\"0.18\", expect_size=\"34670592\"] \n  18 [size=\"78036992\", alpha=\"0.06\", expect_size=\"39018496\"] \n  19 [size=\"100919296\", alpha=\"0.17\", expect_size=\"50459648\"] \n  19 -> 22 [size =\"50459648\"]\n  20 [size=\"62304256\", alpha=\"0.08\", expect_size=\"31152128\"] \n  20 -> 21 [size =\"31152128\"]\n  21 [size=\"30199808\", alpha=\"0.11\", expect_size=\"15099904\"] \n  21 -> 23 [size =\"15099904\"]\n  21 -> 25 [size =\"15099904\"]\n  22 [size=\"39223296\", alpha=\"0.02\", expect_size=\"19611648\"] \n  22 -> 24 [size =\"19611648\"]\n  23 [size=\"44087296\", alpha=\"0.11\", expect_size=\"22043648\"] \n  24 [size=\"98695168\", alpha=\"0.02\", expect_size=\"49347584\"] \n  25 [size=\"103122944\", alpha=\"0.20\", expect_size=\"51561472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99201707\", alpha=\"0.10\", expect_size=\"29760512\"] \n  1 -> 2 [size =\"29760512\"]\n  2 [size=\"161140053\", alpha=\"0.09\", expect_size=\"48342016\"] \n  2 -> 3 [size =\"48342016\"]\n  3 [size=\"153425920\", alpha=\"0.03\", expect_size=\"46027776\"] \n  3 -> 4 [size =\"46027776\"]\n  4 [size=\"36171093\", alpha=\"0.17\", expect_size=\"10851328\"] \n  4 -> 5 [size =\"10851328\"]\n  5 [size=\"74161493\", alpha=\"0.16\", expect_size=\"22248448\"] \n  5 -> 6 [size =\"22248448\"]\n  6 [size=\"117701973\", alpha=\"0.17\", expect_size=\"35310592\"] \n  6 -> 7 [size =\"35310592\"]\n  7 [size=\"148490240\", alpha=\"0.10\", expect_size=\"44547072\"] \n  7 -> 8 [size =\"44547072\"]\n  8 [size=\"43264000\", alpha=\"0.10\", expect_size=\"12979200\"] \n  8 -> 9 [size =\"12979200\"]\n  9 [size=\"45363200\", alpha=\"0.18\", expect_size=\"13608960\"] \n  9 -> 10 [size =\"13608960\"]\n  10 [size=\"44130987\", alpha=\"0.19\", expect_size=\"13239296\"] \n  10 -> 11 [size =\"13239296\"]\n  11 [size=\"102065493\", alpha=\"0.06\", expect_size=\"30619648\"] \n  11 -> 12 [size =\"30619648\"]\n  12 [size=\"22626987\", alpha=\"0.11\", expect_size=\"6788096\"] \n  12 -> 13 [size =\"6788096\"]\n  13 [size=\"96696320\", alpha=\"0.16\", expect_size=\"29008896\"] \n  13 -> 14 [size =\"29008896\"]\n  14 [size=\"116643840\", alpha=\"0.15\", expect_size=\"34993152\"] \n  14 -> 15 [size =\"34993152\"]\n  15 [size=\"92248747\", alpha=\"0.18\", expect_size=\"27674624\"] \n  15 -> 16 [size =\"27674624\"]\n  16 [size=\"62818987\", alpha=\"0.19\", expect_size=\"18845696\"] \n  16 -> 17 [size =\"18845696\"]\n  17 [size=\"42188800\", alpha=\"0.12\", expect_size=\"12656640\"] \n  17 -> 18 [size =\"12656640\"]\n  18 [size=\"119285760\", alpha=\"0.13\", expect_size=\"35785728\"] \n  18 -> 19 [size =\"35785728\"]\n  19 [size=\"37986987\", alpha=\"0.01\", expect_size=\"11396096\"] \n  19 -> 20 [size =\"11396096\"]\n  20 [size=\"21906773\", alpha=\"0.08\", expect_size=\"6572032\"] \n  20 -> 21 [size =\"6572032\"]\n  21 [size=\"167621973\", alpha=\"0.06\", expect_size=\"50286592\"] \n  21 -> 22 [size =\"50286592\"]\n  22 [size=\"60098560\", alpha=\"0.02\", expect_size=\"18029568\"] \n  22 -> 23 [size =\"18029568\"]\n  23 [size=\"149234347\", alpha=\"0.16\", expect_size=\"44770304\"] \n  23 -> 24 [size =\"44770304\"]\n  24 [size=\"117620053\", alpha=\"0.12\", expect_size=\"35286016\"] \n  24 -> 25 [size =\"35286016\"]\n  25 [size=\"78950400\", alpha=\"0.15\", expect_size=\"23685120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32006144\", alpha=\"0.07\", expect_size=\"16003072\"] \n  1 -> 3 [size =\"16003072\"]\n  2 [size=\"56983552\", alpha=\"0.06\", expect_size=\"28491776\"] \n  2 -> 4 [size =\"28491776\"]\n  3 [size=\"36106240\", alpha=\"0.10\", expect_size=\"18053120\"] \n  3 -> 5 [size =\"18053120\"]\n  4 [size=\"67670016\", alpha=\"0.07\", expect_size=\"33835008\"] \n  5 [size=\"21051392\", alpha=\"0.03\", expect_size=\"10525696\"] \n  5 -> 6 [size =\"10525696\"]\n  6 [size=\"79990784\", alpha=\"0.08\", expect_size=\"39995392\"] \n  6 -> 7 [size =\"39995392\"]\n  6 -> 8 [size =\"39995392\"]\n  7 [size=\"38920192\", alpha=\"0.09\", expect_size=\"19460096\"] \n  7 -> 9 [size =\"19460096\"]\n  8 [size=\"73633792\", alpha=\"0.14\", expect_size=\"36816896\"] \n  8 -> 10 [size =\"36816896\"]\n  9 [size=\"74977280\", alpha=\"0.13\", expect_size=\"37488640\"] \n  9 -> 11 [size =\"37488640\"]\n  10 [size=\"87797760\", alpha=\"0.13\", expect_size=\"43898880\"] \n  11 [size=\"65505280\", alpha=\"0.10\", expect_size=\"32752640\"] \n  11 -> 12 [size =\"32752640\"]\n  12 [size=\"96395264\", alpha=\"0.17\", expect_size=\"48197632\"] \n  12 -> 13 [size =\"48197632\"]\n  12 -> 14 [size =\"48197632\"]\n  13 [size=\"29114368\", alpha=\"0.02\", expect_size=\"14557184\"] \n  13 -> 15 [size =\"14557184\"]\n  14 [size=\"74868736\", alpha=\"0.13\", expect_size=\"37434368\"] \n  15 [size=\"14442496\", alpha=\"0.05\", expect_size=\"7221248\"] \n  15 -> 16 [size =\"7221248\"]\n  16 [size=\"27746304\", alpha=\"0.00\", expect_size=\"13873152\"] \n  16 -> 17 [size =\"13873152\"]\n  16 -> 18 [size =\"13873152\"]\n  17 [size=\"64739328\", alpha=\"0.06\", expect_size=\"32369664\"] \n  17 -> 20 [size =\"32369664\"]\n  18 [size=\"14430208\", alpha=\"0.07\", expect_size=\"7215104\"] \n  18 -> 19 [size =\"7215104\"]\n  19 [size=\"82739200\", alpha=\"0.19\", expect_size=\"41369600\"] \n  19 -> 21 [size =\"41369600\"]\n  20 [size=\"51726336\", alpha=\"0.12\", expect_size=\"25863168\"] \n  21 [size=\"16568320\", alpha=\"0.09\", expect_size=\"8284160\"] \n  21 -> 22 [size =\"8284160\"]\n  22 [size=\"62011392\", alpha=\"0.16\", expect_size=\"31005696\"] \n  22 -> 23 [size =\"31005696\"]\n  22 -> 24 [size =\"31005696\"]\n  23 [size=\"49072128\", alpha=\"0.09\", expect_size=\"24536064\"] \n  23 -> 25 [size =\"24536064\"]\n  24 [size=\"59142144\", alpha=\"0.14\", expect_size=\"29571072\"] \n  25 [size=\"27027456\", alpha=\"0.00\", expect_size=\"13513728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34756608\", alpha=\"0.12\", expect_size=\"17378304\"] \n  1 -> 19 [size =\"17378304\"]\n  1 -> 23 [size =\"17378304\"]\n  1 -> 24 [size =\"17378304\"]\n  2 [size=\"25102336\", alpha=\"0.15\", expect_size=\"12551168\"] \n  2 -> 19 [size =\"12551168\"]\n  2 -> 20 [size =\"12551168\"]\n  3 [size=\"64579584\", alpha=\"0.10\", expect_size=\"32289792\"] \n  3 -> 23 [size =\"32289792\"]\n  3 -> 24 [size =\"32289792\"]\n  3 -> 25 [size =\"32289792\"]\n  4 [size=\"92856320\", alpha=\"0.13\", expect_size=\"46428160\"] \n  4 -> 23 [size =\"46428160\"]\n  4 -> 24 [size =\"46428160\"]\n  4 -> 25 [size =\"46428160\"]\n  5 [size=\"19578880\", alpha=\"0.05\", expect_size=\"9789440\"] \n  5 -> 20 [size =\"9789440\"]\n  5 -> 23 [size =\"9789440\"]\n  5 -> 24 [size =\"9789440\"]\n  5 -> 25 [size =\"9789440\"]\n  6 [size=\"58781696\", alpha=\"0.02\", expect_size=\"29390848\"] \n  6 -> 20 [size =\"29390848\"]\n  6 -> 23 [size =\"29390848\"]\n  7 [size=\"62187520\", alpha=\"0.08\", expect_size=\"31093760\"] \n  7 -> 19 [size =\"31093760\"]\n  7 -> 20 [size =\"31093760\"]\n  7 -> 23 [size =\"31093760\"]\n  8 [size=\"81952768\", alpha=\"0.19\", expect_size=\"40976384\"] \n  8 -> 21 [size =\"40976384\"]\n  8 -> 23 [size =\"40976384\"]\n  8 -> 23 [size =\"40976384\"]\n  8 -> 24 [size =\"40976384\"]\n  8 -> 25 [size =\"40976384\"]\n  9 [size=\"38178816\", alpha=\"0.02\", expect_size=\"19089408\"] \n  9 -> 19 [size =\"19089408\"]\n  9 -> 22 [size =\"19089408\"]\n  9 -> 24 [size =\"19089408\"]\n  10 [size=\"44376064\", alpha=\"0.15\", expect_size=\"22188032\"] \n  10 -> 19 [size =\"22188032\"]\n  10 -> 20 [size =\"22188032\"]\n  10 -> 21 [size =\"22188032\"]\n  10 -> 24 [size =\"22188032\"]\n  11 [size=\"73138176\", alpha=\"0.03\", expect_size=\"36569088\"] \n  11 -> 19 [size =\"36569088\"]\n  11 -> 23 [size =\"36569088\"]\n  12 [size=\"34164736\", alpha=\"0.02\", expect_size=\"17082368\"] \n  12 -> 19 [size =\"17082368\"]\n  12 -> 23 [size =\"17082368\"]\n  13 [size=\"10774528\", alpha=\"0.01\", expect_size=\"5387264\"] \n  13 -> 20 [size =\"5387264\"]\n  14 [size=\"55818240\", alpha=\"0.11\", expect_size=\"27909120\"] \n  14 -> 20 [size =\"27909120\"]\n  14 -> 21 [size =\"27909120\"]\n  14 -> 24 [size =\"27909120\"]\n  14 -> 25 [size =\"27909120\"]\n  15 [size=\"24428544\", alpha=\"0.06\", expect_size=\"12214272\"] \n  15 -> 20 [size =\"12214272\"]\n  15 -> 25 [size =\"12214272\"]\n  16 [size=\"48846848\", alpha=\"0.03\", expect_size=\"24423424\"] \n  16 -> 19 [size =\"24423424\"]\n  16 -> 21 [size =\"24423424\"]\n  16 -> 23 [size =\"24423424\"]\n  17 [size=\"60356608\", alpha=\"0.15\", expect_size=\"30178304\"] \n  17 -> 19 [size =\"30178304\"]\n  17 -> 20 [size =\"30178304\"]\n  17 -> 21 [size =\"30178304\"]\n  17 -> 23 [size =\"30178304\"]\n  17 -> 24 [size =\"30178304\"]\n  18 [size=\"98754560\", alpha=\"0.02\", expect_size=\"49377280\"] \n  18 -> 19 [size =\"49377280\"]\n  18 -> 21 [size =\"49377280\"]\n  19 [size=\"95604736\", alpha=\"0.19\", expect_size=\"47802368\"] \n  20 [size=\"103602176\", alpha=\"0.03\", expect_size=\"51801088\"] \n  21 [size=\"79996928\", alpha=\"0.11\", expect_size=\"39998464\"] \n  22 [size=\"93341696\", alpha=\"0.03\", expect_size=\"46670848\"] \n  23 [size=\"102887424\", alpha=\"0.07\", expect_size=\"51443712\"] \n  24 [size=\"12537856\", alpha=\"0.08\", expect_size=\"6268928\"] \n  25 [size=\"63055872\", alpha=\"0.10\", expect_size=\"31527936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90013696\", alpha=\"0.02\", expect_size=\"45006848\"] \n  1 -> 6 [size =\"45006848\"]\n  2 [size=\"57378816\", alpha=\"0.16\", expect_size=\"28689408\"] \n  3 [size=\"36130816\", alpha=\"0.13\", expect_size=\"18065408\"] \n  4 [size=\"22093824\", alpha=\"0.06\", expect_size=\"11046912\"] \n  4 -> 6 [size =\"11046912\"]\n  5 [size=\"52666368\", alpha=\"0.04\", expect_size=\"26333184\"] \n  5 -> 6 [size =\"26333184\"]\n  5 -> 7 [size =\"26333184\"]\n  6 [size=\"40132608\", alpha=\"0.16\", expect_size=\"20066304\"] \n  6 -> 8 [size =\"20066304\"]\n  7 [size=\"50806784\", alpha=\"0.15\", expect_size=\"25403392\"] \n  7 -> 9 [size =\"25403392\"]\n  7 -> 10 [size =\"25403392\"]\n  8 [size=\"83365888\", alpha=\"0.08\", expect_size=\"41682944\"] \n  8 -> 11 [size =\"41682944\"]\n  9 [size=\"72259584\", alpha=\"0.16\", expect_size=\"36129792\"] \n  10 [size=\"75309056\", alpha=\"0.08\", expect_size=\"37654528\"] \n  10 -> 12 [size =\"37654528\"]\n  11 [size=\"45336576\", alpha=\"0.01\", expect_size=\"22668288\"] \n  11 -> 13 [size =\"22668288\"]\n  11 -> 17 [size =\"22668288\"]\n  12 [size=\"55865344\", alpha=\"0.05\", expect_size=\"27932672\"] \n  12 -> 14 [size =\"27932672\"]\n  12 -> 15 [size =\"27932672\"]\n  12 -> 16 [size =\"27932672\"]\n  13 [size=\"36626432\", alpha=\"0.17\", expect_size=\"18313216\"] \n  13 -> 19 [size =\"18313216\"]\n  14 [size=\"99252224\", alpha=\"0.08\", expect_size=\"49626112\"] \n  14 -> 19 [size =\"49626112\"]\n  14 -> 21 [size =\"49626112\"]\n  15 [size=\"31221760\", alpha=\"0.12\", expect_size=\"15610880\"] \n  15 -> 20 [size =\"15610880\"]\n  16 [size=\"50137088\", alpha=\"0.02\", expect_size=\"25068544\"] \n  16 -> 18 [size =\"25068544\"]\n  16 -> 19 [size =\"25068544\"]\n  17 [size=\"29018112\", alpha=\"0.16\", expect_size=\"14509056\"] \n  18 [size=\"101122048\", alpha=\"0.16\", expect_size=\"50561024\"] \n  18 -> 23 [size =\"50561024\"]\n  18 -> 25 [size =\"50561024\"]\n  19 [size=\"46309376\", alpha=\"0.18\", expect_size=\"23154688\"] \n  19 -> 22 [size =\"23154688\"]\n  19 -> 24 [size =\"23154688\"]\n  20 [size=\"25737216\", alpha=\"0.19\", expect_size=\"12868608\"] \n  21 [size=\"61497344\", alpha=\"0.18\", expect_size=\"30748672\"] \n  21 -> 23 [size =\"30748672\"]\n  22 [size=\"67497984\", alpha=\"0.06\", expect_size=\"33748992\"] \n  23 [size=\"92108800\", alpha=\"0.20\", expect_size=\"46054400\"] \n  24 [size=\"77107200\", alpha=\"0.16\", expect_size=\"38553600\"] \n  25 [size=\"18800640\", alpha=\"0.01\", expect_size=\"9400320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57208320\", alpha=\"0.13\", expect_size=\"22883328\"] \n  1 -> 2 [size =\"22883328\"]\n  2 [size=\"65372160\", alpha=\"0.13\", expect_size=\"26148864\"] \n  2 -> 3 [size =\"26148864\"]\n  3 [size=\"17745920\", alpha=\"0.02\", expect_size=\"7098368\"] \n  3 -> 4 [size =\"7098368\"]\n  4 [size=\"96678400\", alpha=\"0.03\", expect_size=\"38671360\"] \n  4 -> 5 [size =\"38671360\"]\n  5 [size=\"84912640\", alpha=\"0.08\", expect_size=\"33965056\"] \n  5 -> 6 [size =\"33965056\"]\n  6 [size=\"117450240\", alpha=\"0.19\", expect_size=\"46980096\"] \n  6 -> 7 [size =\"46980096\"]\n  7 [size=\"128368640\", alpha=\"0.10\", expect_size=\"51347456\"] \n  7 -> 8 [size =\"51347456\"]\n  8 [size=\"78269440\", alpha=\"0.01\", expect_size=\"31307776\"] \n  8 -> 9 [size =\"31307776\"]\n  9 [size=\"37736960\", alpha=\"0.17\", expect_size=\"15094784\"] \n  9 -> 10 [size =\"15094784\"]\n  10 [size=\"72870400\", alpha=\"0.12\", expect_size=\"29148160\"] \n  10 -> 11 [size =\"29148160\"]\n  11 [size=\"99048960\", alpha=\"0.14\", expect_size=\"39619584\"] \n  11 -> 12 [size =\"39619584\"]\n  12 [size=\"56424960\", alpha=\"0.16\", expect_size=\"22569984\"] \n  12 -> 13 [size =\"22569984\"]\n  13 [size=\"130895360\", alpha=\"0.17\", expect_size=\"52358144\"] \n  13 -> 14 [size =\"52358144\"]\n  14 [size=\"24148480\", alpha=\"0.05\", expect_size=\"9659392\"] \n  14 -> 15 [size =\"9659392\"]\n  15 [size=\"39308800\", alpha=\"0.01\", expect_size=\"15723520\"] \n  15 -> 16 [size =\"15723520\"]\n  16 [size=\"88616960\", alpha=\"0.07\", expect_size=\"35446784\"] \n  16 -> 17 [size =\"35446784\"]\n  17 [size=\"80555520\", alpha=\"0.10\", expect_size=\"32222208\"] \n  17 -> 18 [size =\"32222208\"]\n  18 [size=\"19973120\", alpha=\"0.14\", expect_size=\"7989248\"] \n  18 -> 19 [size =\"7989248\"]\n  19 [size=\"25377280\", alpha=\"0.12\", expect_size=\"10150912\"] \n  19 -> 20 [size =\"10150912\"]\n  20 [size=\"128240640\", alpha=\"0.04\", expect_size=\"51296256\"] \n  20 -> 21 [size =\"51296256\"]\n  21 [size=\"81131520\", alpha=\"0.04\", expect_size=\"32452608\"] \n  21 -> 22 [size =\"32452608\"]\n  22 [size=\"47841280\", alpha=\"0.13\", expect_size=\"19136512\"] \n  22 -> 23 [size =\"19136512\"]\n  23 [size=\"25927680\", alpha=\"0.03\", expect_size=\"10371072\"] \n  23 -> 24 [size =\"10371072\"]\n  24 [size=\"127930880\", alpha=\"0.07\", expect_size=\"51172352\"] \n  24 -> 25 [size =\"51172352\"]\n  25 [size=\"37655040\", alpha=\"0.03\", expect_size=\"15062016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110646613\", alpha=\"0.12\", expect_size=\"33193984\"] \n  1 -> 3 [size =\"33193984\"]\n  2 [size=\"92330667\", alpha=\"0.12\", expect_size=\"27699200\"] \n  3 [size=\"171072853\", alpha=\"0.07\", expect_size=\"51321856\"] \n  3 -> 4 [size =\"51321856\"]\n  4 [size=\"102871040\", alpha=\"0.03\", expect_size=\"30861312\"] \n  4 -> 5 [size =\"30861312\"]\n  4 -> 6 [size =\"30861312\"]\n  5 [size=\"132454400\", alpha=\"0.19\", expect_size=\"39736320\"] \n  5 -> 7 [size =\"39736320\"]\n  5 -> 8 [size =\"39736320\"]\n  6 [size=\"19333120\", alpha=\"0.15\", expect_size=\"5799936\"] \n  6 -> 7 [size =\"5799936\"]\n  6 -> 8 [size =\"5799936\"]\n  7 [size=\"127590400\", alpha=\"0.18\", expect_size=\"38277120\"] \n  7 -> 9 [size =\"38277120\"]\n  7 -> 10 [size =\"38277120\"]\n  8 [size=\"51906560\", alpha=\"0.06\", expect_size=\"15571968\"] \n  8 -> 9 [size =\"15571968\"]\n  8 -> 10 [size =\"15571968\"]\n  9 [size=\"56630613\", alpha=\"0.04\", expect_size=\"16989184\"] \n  9 -> 11 [size =\"16989184\"]\n  10 [size=\"131058347\", alpha=\"0.04\", expect_size=\"39317504\"] \n  10 -> 11 [size =\"39317504\"]\n  11 [size=\"106335573\", alpha=\"0.15\", expect_size=\"31900672\"] \n  11 -> 12 [size =\"31900672\"]\n  11 -> 13 [size =\"31900672\"]\n  12 [size=\"41304747\", alpha=\"0.14\", expect_size=\"12391424\"] \n  12 -> 14 [size =\"12391424\"]\n  12 -> 15 [size =\"12391424\"]\n  13 [size=\"138240000\", alpha=\"0.17\", expect_size=\"41472000\"] \n  13 -> 15 [size =\"41472000\"]\n  14 [size=\"33457493\", alpha=\"0.18\", expect_size=\"10037248\"] \n  14 -> 16 [size =\"10037248\"]\n  15 [size=\"53889707\", alpha=\"0.15\", expect_size=\"16166912\"] \n  16 [size=\"44997973\", alpha=\"0.14\", expect_size=\"13499392\"] \n  16 -> 17 [size =\"13499392\"]\n  17 [size=\"163525973\", alpha=\"0.13\", expect_size=\"49057792\"] \n  17 -> 18 [size =\"49057792\"]\n  18 [size=\"144182613\", alpha=\"0.09\", expect_size=\"43254784\"] \n  18 -> 19 [size =\"43254784\"]\n  18 -> 20 [size =\"43254784\"]\n  19 [size=\"37809493\", alpha=\"0.13\", expect_size=\"11342848\"] \n  19 -> 21 [size =\"11342848\"]\n  20 [size=\"72567467\", alpha=\"0.17\", expect_size=\"21770240\"] \n  20 -> 21 [size =\"21770240\"]\n  21 [size=\"106905600\", alpha=\"0.13\", expect_size=\"32071680\"] \n  21 -> 22 [size =\"32071680\"]\n  22 [size=\"69918720\", alpha=\"0.18\", expect_size=\"20975616\"] \n  22 -> 23 [size =\"20975616\"]\n  22 -> 24 [size =\"20975616\"]\n  23 [size=\"18947413\", alpha=\"0.03\", expect_size=\"5684224\"] \n  23 -> 25 [size =\"5684224\"]\n  24 [size=\"154716160\", alpha=\"0.19\", expect_size=\"46414848\"] \n  25 [size=\"139076267\", alpha=\"0.10\", expect_size=\"41722880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86902784\", alpha=\"0.09\", expect_size=\"43451392\"] \n  1 -> 2 [size =\"43451392\"]\n  2 [size=\"89286656\", alpha=\"0.12\", expect_size=\"44643328\"] \n  2 -> 3 [size =\"44643328\"]\n  3 [size=\"92442624\", alpha=\"0.16\", expect_size=\"46221312\"] \n  3 -> 4 [size =\"46221312\"]\n  4 [size=\"40904704\", alpha=\"0.04\", expect_size=\"20452352\"] \n  4 -> 5 [size =\"20452352\"]\n  5 [size=\"73893888\", alpha=\"0.15\", expect_size=\"36946944\"] \n  5 -> 6 [size =\"36946944\"]\n  6 [size=\"85293056\", alpha=\"0.08\", expect_size=\"42646528\"] \n  6 -> 7 [size =\"42646528\"]\n  7 [size=\"57489408\", alpha=\"0.19\", expect_size=\"28744704\"] \n  7 -> 8 [size =\"28744704\"]\n  8 [size=\"97417216\", alpha=\"0.12\", expect_size=\"48708608\"] \n  8 -> 9 [size =\"48708608\"]\n  9 [size=\"91820032\", alpha=\"0.04\", expect_size=\"45910016\"] \n  9 -> 10 [size =\"45910016\"]\n  10 [size=\"47349760\", alpha=\"0.19\", expect_size=\"23674880\"] \n  10 -> 11 [size =\"23674880\"]\n  11 [size=\"62214144\", alpha=\"0.19\", expect_size=\"31107072\"] \n  11 -> 12 [size =\"31107072\"]\n  12 [size=\"103892992\", alpha=\"0.16\", expect_size=\"51946496\"] \n  12 -> 13 [size =\"51946496\"]\n  13 [size=\"68126720\", alpha=\"0.06\", expect_size=\"34063360\"] \n  13 -> 14 [size =\"34063360\"]\n  14 [size=\"49336320\", alpha=\"0.07\", expect_size=\"24668160\"] \n  14 -> 15 [size =\"24668160\"]\n  15 [size=\"70500352\", alpha=\"0.11\", expect_size=\"35250176\"] \n  15 -> 16 [size =\"35250176\"]\n  16 [size=\"46327808\", alpha=\"0.05\", expect_size=\"23163904\"] \n  16 -> 17 [size =\"23163904\"]\n  17 [size=\"85489664\", alpha=\"0.11\", expect_size=\"42744832\"] \n  17 -> 18 [size =\"42744832\"]\n  18 [size=\"80590848\", alpha=\"0.02\", expect_size=\"40295424\"] \n  18 -> 19 [size =\"40295424\"]\n  19 [size=\"40853504\", alpha=\"0.11\", expect_size=\"20426752\"] \n  19 -> 20 [size =\"20426752\"]\n  20 [size=\"60839936\", alpha=\"0.01\", expect_size=\"30419968\"] \n  20 -> 21 [size =\"30419968\"]\n  21 [size=\"55703552\", alpha=\"0.07\", expect_size=\"27851776\"] \n  21 -> 22 [size =\"27851776\"]\n  22 [size=\"48758784\", alpha=\"0.09\", expect_size=\"24379392\"] \n  22 -> 23 [size =\"24379392\"]\n  23 [size=\"30586880\", alpha=\"0.10\", expect_size=\"15293440\"] \n  23 -> 24 [size =\"15293440\"]\n  24 [size=\"58918912\", alpha=\"0.16\", expect_size=\"29459456\"] \n  24 -> 25 [size =\"29459456\"]\n  25 [size=\"92422144\", alpha=\"0.16\", expect_size=\"46211072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56982187\", alpha=\"0.06\", expect_size=\"17094656\"] \n  1 -> 2 [size =\"17094656\"]\n  2 [size=\"96023893\", alpha=\"0.17\", expect_size=\"28807168\"] \n  2 -> 3 [size =\"28807168\"]\n  3 [size=\"56074240\", alpha=\"0.12\", expect_size=\"16822272\"] \n  3 -> 4 [size =\"16822272\"]\n  4 [size=\"70089387\", alpha=\"0.09\", expect_size=\"21026816\"] \n  4 -> 5 [size =\"21026816\"]\n  5 [size=\"80421547\", alpha=\"0.12\", expect_size=\"24126464\"] \n  5 -> 6 [size =\"24126464\"]\n  6 [size=\"46312107\", alpha=\"0.02\", expect_size=\"13893632\"] \n  6 -> 7 [size =\"13893632\"]\n  7 [size=\"124917760\", alpha=\"0.02\", expect_size=\"37475328\"] \n  7 -> 8 [size =\"37475328\"]\n  8 [size=\"19950933\", alpha=\"0.15\", expect_size=\"5985280\"] \n  8 -> 9 [size =\"5985280\"]\n  9 [size=\"69618347\", alpha=\"0.00\", expect_size=\"20885504\"] \n  9 -> 10 [size =\"20885504\"]\n  10 [size=\"89108480\", alpha=\"0.10\", expect_size=\"26732544\"] \n  10 -> 11 [size =\"26732544\"]\n  11 [size=\"105007787\", alpha=\"0.07\", expect_size=\"31502336\"] \n  11 -> 12 [size =\"31502336\"]\n  12 [size=\"154443093\", alpha=\"0.07\", expect_size=\"46332928\"] \n  12 -> 13 [size =\"46332928\"]\n  13 [size=\"127931733\", alpha=\"0.16\", expect_size=\"38379520\"] \n  13 -> 14 [size =\"38379520\"]\n  14 [size=\"67017387\", alpha=\"0.02\", expect_size=\"20105216\"] \n  14 -> 15 [size =\"20105216\"]\n  15 [size=\"141441707\", alpha=\"0.03\", expect_size=\"42432512\"] \n  15 -> 16 [size =\"42432512\"]\n  16 [size=\"78260907\", alpha=\"0.16\", expect_size=\"23478272\"] \n  16 -> 17 [size =\"23478272\"]\n  17 [size=\"91910827\", alpha=\"0.12\", expect_size=\"27573248\"] \n  17 -> 18 [size =\"27573248\"]\n  18 [size=\"106936320\", alpha=\"0.09\", expect_size=\"32080896\"] \n  18 -> 19 [size =\"32080896\"]\n  19 [size=\"66962773\", alpha=\"0.01\", expect_size=\"20088832\"] \n  19 -> 20 [size =\"20088832\"]\n  20 [size=\"68949333\", alpha=\"0.12\", expect_size=\"20684800\"] \n  20 -> 21 [size =\"20684800\"]\n  21 [size=\"143783253\", alpha=\"0.08\", expect_size=\"43134976\"] \n  21 -> 22 [size =\"43134976\"]\n  22 [size=\"43226453\", alpha=\"0.13\", expect_size=\"12967936\"] \n  22 -> 23 [size =\"12967936\"]\n  23 [size=\"98409813\", alpha=\"0.04\", expect_size=\"29522944\"] \n  23 -> 24 [size =\"29522944\"]\n  24 [size=\"63044267\", alpha=\"0.01\", expect_size=\"18913280\"] \n  24 -> 25 [size =\"18913280\"]\n  25 [size=\"82691413\", alpha=\"0.07\", expect_size=\"24807424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31639552\", alpha=\"0.05\", expect_size=\"15819776\"] \n  1 -> 2 [size =\"15819776\"]\n  2 [size=\"76773376\", alpha=\"0.02\", expect_size=\"38386688\"] \n  2 -> 3 [size =\"38386688\"]\n  3 [size=\"73664512\", alpha=\"0.20\", expect_size=\"36832256\"] \n  3 -> 4 [size =\"36832256\"]\n  4 [size=\"95799296\", alpha=\"0.06\", expect_size=\"47899648\"] \n  4 -> 5 [size =\"47899648\"]\n  5 [size=\"29175808\", alpha=\"0.00\", expect_size=\"14587904\"] \n  5 -> 6 [size =\"14587904\"]\n  6 [size=\"25405440\", alpha=\"0.07\", expect_size=\"12702720\"] \n  6 -> 7 [size =\"12702720\"]\n  7 [size=\"54796288\", alpha=\"0.07\", expect_size=\"27398144\"] \n  7 -> 8 [size =\"27398144\"]\n  8 [size=\"32395264\", alpha=\"0.11\", expect_size=\"16197632\"] \n  8 -> 9 [size =\"16197632\"]\n  9 [size=\"52684800\", alpha=\"0.19\", expect_size=\"26342400\"] \n  9 -> 10 [size =\"26342400\"]\n  10 [size=\"28852224\", alpha=\"0.13\", expect_size=\"14426112\"] \n  10 -> 11 [size =\"14426112\"]\n  11 [size=\"36208640\", alpha=\"0.20\", expect_size=\"18104320\"] \n  11 -> 12 [size =\"18104320\"]\n  12 [size=\"57532416\", alpha=\"0.02\", expect_size=\"28766208\"] \n  12 -> 13 [size =\"28766208\"]\n  13 [size=\"65785856\", alpha=\"0.10\", expect_size=\"32892928\"] \n  13 -> 14 [size =\"32892928\"]\n  14 [size=\"63680512\", alpha=\"0.14\", expect_size=\"31840256\"] \n  14 -> 15 [size =\"31840256\"]\n  15 [size=\"90476544\", alpha=\"0.03\", expect_size=\"45238272\"] \n  15 -> 16 [size =\"45238272\"]\n  16 [size=\"92813312\", alpha=\"0.05\", expect_size=\"46406656\"] \n  16 -> 17 [size =\"46406656\"]\n  17 [size=\"30752768\", alpha=\"0.02\", expect_size=\"15376384\"] \n  17 -> 18 [size =\"15376384\"]\n  18 [size=\"62875648\", alpha=\"0.08\", expect_size=\"31437824\"] \n  18 -> 19 [size =\"31437824\"]\n  19 [size=\"18153472\", alpha=\"0.16\", expect_size=\"9076736\"] \n  19 -> 20 [size =\"9076736\"]\n  20 [size=\"13015040\", alpha=\"0.10\", expect_size=\"6507520\"] \n  20 -> 21 [size =\"6507520\"]\n  21 [size=\"75302912\", alpha=\"0.09\", expect_size=\"37651456\"] \n  21 -> 22 [size =\"37651456\"]\n  22 [size=\"72945664\", alpha=\"0.02\", expect_size=\"36472832\"] \n  22 -> 23 [size =\"36472832\"]\n  23 [size=\"82876416\", alpha=\"0.08\", expect_size=\"41438208\"] \n  23 -> 24 [size =\"41438208\"]\n  24 [size=\"35493888\", alpha=\"0.13\", expect_size=\"17746944\"] \n  24 -> 25 [size =\"17746944\"]\n  25 [size=\"100325376\", alpha=\"0.01\", expect_size=\"50162688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42963627\", alpha=\"0.00\", expect_size=\"12889088\"] \n  1 -> 13 [size =\"12889088\"]\n  1 -> 14 [size =\"12889088\"]\n  2 [size=\"77342720\", alpha=\"0.02\", expect_size=\"23202816\"] \n  2 -> 13 [size =\"23202816\"]\n  2 -> 14 [size =\"23202816\"]\n  3 [size=\"34362027\", alpha=\"0.12\", expect_size=\"10308608\"] \n  3 -> 11 [size =\"10308608\"]\n  3 -> 12 [size =\"10308608\"]\n  3 -> 13 [size =\"10308608\"]\n  3 -> 15 [size =\"10308608\"]\n  4 [size=\"78650027\", alpha=\"0.13\", expect_size=\"23595008\"] \n  4 -> 11 [size =\"23595008\"]\n  4 -> 13 [size =\"23595008\"]\n  4 -> 15 [size =\"23595008\"]\n  5 [size=\"64204800\", alpha=\"0.12\", expect_size=\"19261440\"] \n  5 -> 14 [size =\"19261440\"]\n  5 -> 15 [size =\"19261440\"]\n  6 [size=\"156279467\", alpha=\"0.07\", expect_size=\"46883840\"] \n  6 -> 11 [size =\"46883840\"]\n  6 -> 14 [size =\"46883840\"]\n  7 [size=\"133823147\", alpha=\"0.00\", expect_size=\"40146944\"] \n  7 -> 11 [size =\"40146944\"]\n  7 -> 14 [size =\"40146944\"]\n  8 [size=\"122647893\", alpha=\"0.02\", expect_size=\"36794368\"] \n  8 -> 11 [size =\"36794368\"]\n  8 -> 12 [size =\"36794368\"]\n  8 -> 13 [size =\"36794368\"]\n  8 -> 14 [size =\"36794368\"]\n  9 [size=\"154272427\", alpha=\"0.06\", expect_size=\"46281728\"] \n  10 [size=\"103840427\", alpha=\"0.16\", expect_size=\"31152128\"] \n  10 -> 13 [size =\"31152128\"]\n  10 -> 14 [size =\"31152128\"]\n  10 -> 15 [size =\"31152128\"]\n  11 [size=\"161945600\", alpha=\"0.11\", expect_size=\"48583680\"] \n  11 -> 19 [size =\"48583680\"]\n  11 -> 20 [size =\"48583680\"]\n  11 -> 23 [size =\"48583680\"]\n  12 [size=\"163471360\", alpha=\"0.08\", expect_size=\"49041408\"] \n  12 -> 17 [size =\"49041408\"]\n  12 -> 22 [size =\"49041408\"]\n  12 -> 23 [size =\"49041408\"]\n  13 [size=\"25344000\", alpha=\"0.10\", expect_size=\"7603200\"] \n  13 -> 16 [size =\"7603200\"]\n  13 -> 22 [size =\"7603200\"]\n  14 [size=\"120524800\", alpha=\"0.10\", expect_size=\"36157440\"] \n  14 -> 16 [size =\"36157440\"]\n  14 -> 18 [size =\"36157440\"]\n  14 -> 21 [size =\"36157440\"]\n  14 -> 22 [size =\"36157440\"]\n  14 -> 23 [size =\"36157440\"]\n  15 [size=\"68860587\", alpha=\"0.04\", expect_size=\"20658176\"] \n  15 -> 16 [size =\"20658176\"]\n  15 -> 19 [size =\"20658176\"]\n  15 -> 21 [size =\"20658176\"]\n  15 -> 22 [size =\"20658176\"]\n  16 [size=\"161570133\", alpha=\"0.15\", expect_size=\"48471040\"] \n  17 [size=\"58098347\", alpha=\"0.14\", expect_size=\"17429504\"] \n  18 [size=\"61463893\", alpha=\"0.09\", expect_size=\"18439168\"] \n  18 -> 24 [size =\"18439168\"]\n  18 -> 25 [size =\"18439168\"]\n  19 [size=\"77028693\", alpha=\"0.04\", expect_size=\"23108608\"] \n  19 -> 24 [size =\"23108608\"]\n  20 [size=\"124067840\", alpha=\"0.01\", expect_size=\"37220352\"] \n  20 -> 24 [size =\"37220352\"]\n  20 -> 25 [size =\"37220352\"]\n  21 [size=\"91327147\", alpha=\"0.01\", expect_size=\"27398144\"] \n  21 -> 24 [size =\"27398144\"]\n  22 [size=\"18466133\", alpha=\"0.08\", expect_size=\"5539840\"] \n  22 -> 24 [size =\"5539840\"]\n  22 -> 25 [size =\"5539840\"]\n  23 [size=\"79066453\", alpha=\"0.18\", expect_size=\"23719936\"] \n  23 -> 24 [size =\"23719936\"]\n  24 [size=\"161348267\", alpha=\"0.16\", expect_size=\"48404480\"] \n  25 [size=\"82766507\", alpha=\"0.19\", expect_size=\"24829952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33047893\", alpha=\"0.11\", expect_size=\"9914368\"] \n  1 -> 21 [size =\"9914368\"]\n  1 -> 21 [size =\"9914368\"]\n  1 -> 22 [size =\"9914368\"]\n  1 -> 23 [size =\"9914368\"]\n  1 -> 25 [size =\"9914368\"]\n  2 [size=\"46964053\", alpha=\"0.19\", expect_size=\"14089216\"] \n  2 -> 20 [size =\"14089216\"]\n  2 -> 21 [size =\"14089216\"]\n  2 -> 22 [size =\"14089216\"]\n  2 -> 24 [size =\"14089216\"]\n  2 -> 25 [size =\"14089216\"]\n  3 [size=\"89903787\", alpha=\"0.03\", expect_size=\"26971136\"] \n  3 -> 20 [size =\"26971136\"]\n  3 -> 21 [size =\"26971136\"]\n  3 -> 22 [size =\"26971136\"]\n  3 -> 23 [size =\"26971136\"]\n  3 -> 25 [size =\"26971136\"]\n  4 [size=\"90238293\", alpha=\"0.20\", expect_size=\"27071488\"] \n  4 -> 20 [size =\"27071488\"]\n  4 -> 21 [size =\"27071488\"]\n  4 -> 22 [size =\"27071488\"]\n  4 -> 23 [size =\"27071488\"]\n  4 -> 25 [size =\"27071488\"]\n  5 [size=\"90064213\", alpha=\"0.03\", expect_size=\"27019264\"] \n  5 -> 20 [size =\"27019264\"]\n  5 -> 22 [size =\"27019264\"]\n  5 -> 23 [size =\"27019264\"]\n  5 -> 23 [size =\"27019264\"]\n  5 -> 25 [size =\"27019264\"]\n  6 [size=\"133795840\", alpha=\"0.04\", expect_size=\"40138752\"] \n  6 -> 21 [size =\"40138752\"]\n  6 -> 22 [size =\"40138752\"]\n  6 -> 23 [size =\"40138752\"]\n  6 -> 24 [size =\"40138752\"]\n  6 -> 25 [size =\"40138752\"]\n  7 [size=\"49745920\", alpha=\"0.13\", expect_size=\"14923776\"] \n  7 -> 21 [size =\"14923776\"]\n  7 -> 23 [size =\"14923776\"]\n  7 -> 23 [size =\"14923776\"]\n  7 -> 24 [size =\"14923776\"]\n  8 [size=\"48107520\", alpha=\"0.03\", expect_size=\"14432256\"] \n  8 -> 20 [size =\"14432256\"]\n  8 -> 21 [size =\"14432256\"]\n  8 -> 22 [size =\"14432256\"]\n  8 -> 24 [size =\"14432256\"]\n  8 -> 25 [size =\"14432256\"]\n  9 [size=\"40942933\", alpha=\"0.01\", expect_size=\"12282880\"] \n  9 -> 21 [size =\"12282880\"]\n  9 -> 23 [size =\"12282880\"]\n  10 [size=\"77233493\", alpha=\"0.19\", expect_size=\"23170048\"] \n  10 -> 20 [size =\"23170048\"]\n  11 [size=\"63675733\", alpha=\"0.10\", expect_size=\"19102720\"] \n  11 -> 20 [size =\"19102720\"]\n  11 -> 24 [size =\"19102720\"]\n  11 -> 25 [size =\"19102720\"]\n  12 [size=\"147227307\", alpha=\"0.14\", expect_size=\"44168192\"] \n  12 -> 24 [size =\"44168192\"]\n  12 -> 25 [size =\"44168192\"]\n  13 [size=\"142858240\", alpha=\"0.00\", expect_size=\"42857472\"] \n  13 -> 20 [size =\"42857472\"]\n  13 -> 21 [size =\"42857472\"]\n  13 -> 22 [size =\"42857472\"]\n  13 -> 24 [size =\"42857472\"]\n  14 [size=\"163058347\", alpha=\"0.08\", expect_size=\"48917504\"] \n  14 -> 20 [size =\"48917504\"]\n  14 -> 21 [size =\"48917504\"]\n  14 -> 24 [size =\"48917504\"]\n  14 -> 25 [size =\"48917504\"]\n  15 [size=\"162324480\", alpha=\"0.00\", expect_size=\"48697344\"] \n  15 -> 20 [size =\"48697344\"]\n  15 -> 21 [size =\"48697344\"]\n  15 -> 22 [size =\"48697344\"]\n  15 -> 23 [size =\"48697344\"]\n  15 -> 24 [size =\"48697344\"]\n  15 -> 25 [size =\"48697344\"]\n  16 [size=\"30849707\", alpha=\"0.10\", expect_size=\"9254912\"] \n  16 -> 20 [size =\"9254912\"]\n  16 -> 21 [size =\"9254912\"]\n  16 -> 22 [size =\"9254912\"]\n  16 -> 23 [size =\"9254912\"]\n  16 -> 24 [size =\"9254912\"]\n  16 -> 25 [size =\"9254912\"]\n  17 [size=\"64068267\", alpha=\"0.09\", expect_size=\"19220480\"] \n  17 -> 21 [size =\"19220480\"]\n  17 -> 22 [size =\"19220480\"]\n  17 -> 23 [size =\"19220480\"]\n  17 -> 24 [size =\"19220480\"]\n  17 -> 24 [size =\"19220480\"]\n  18 [size=\"166591147\", alpha=\"0.19\", expect_size=\"49977344\"] \n  18 -> 20 [size =\"49977344\"]\n  18 -> 21 [size =\"49977344\"]\n  18 -> 24 [size =\"49977344\"]\n  18 -> 25 [size =\"49977344\"]\n  19 [size=\"30621013\", alpha=\"0.09\", expect_size=\"9186304\"] \n  19 -> 20 [size =\"9186304\"]\n  19 -> 21 [size =\"9186304\"]\n  19 -> 23 [size =\"9186304\"]\n  19 -> 24 [size =\"9186304\"]\n  19 -> 25 [size =\"9186304\"]\n  20 [size=\"40874667\", alpha=\"0.20\", expect_size=\"12262400\"] \n  21 [size=\"35184640\", alpha=\"0.12\", expect_size=\"10555392\"] \n  22 [size=\"110117547\", alpha=\"0.09\", expect_size=\"33035264\"] \n  23 [size=\"64761173\", alpha=\"0.15\", expect_size=\"19428352\"] \n  24 [size=\"65846613\", alpha=\"0.10\", expect_size=\"19753984\"] \n  25 [size=\"131809280\", alpha=\"0.14\", expect_size=\"39542784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24610816\", alpha=\"0.12\", expect_size=\"12305408\"] \n  1 -> 10 [size =\"12305408\"]\n  1 -> 11 [size =\"12305408\"]\n  1 -> 16 [size =\"12305408\"]\n  2 [size=\"53272576\", alpha=\"0.01\", expect_size=\"26636288\"] \n  2 -> 13 [size =\"26636288\"]\n  2 -> 14 [size =\"26636288\"]\n  2 -> 15 [size =\"26636288\"]\n  2 -> 16 [size =\"26636288\"]\n  3 [size=\"53876736\", alpha=\"0.06\", expect_size=\"26938368\"] \n  3 -> 10 [size =\"26938368\"]\n  3 -> 15 [size =\"26938368\"]\n  3 -> 16 [size =\"26938368\"]\n  4 [size=\"77412352\", alpha=\"0.09\", expect_size=\"38706176\"] \n  4 -> 10 [size =\"38706176\"]\n  4 -> 12 [size =\"38706176\"]\n  4 -> 13 [size =\"38706176\"]\n  4 -> 14 [size =\"38706176\"]\n  4 -> 16 [size =\"38706176\"]\n  5 [size=\"11259904\", alpha=\"0.15\", expect_size=\"5629952\"] \n  5 -> 10 [size =\"5629952\"]\n  5 -> 12 [size =\"5629952\"]\n  5 -> 13 [size =\"5629952\"]\n  5 -> 14 [size =\"5629952\"]\n  5 -> 16 [size =\"5629952\"]\n  6 [size=\"91617280\", alpha=\"0.17\", expect_size=\"45808640\"] \n  6 -> 12 [size =\"45808640\"]\n  6 -> 13 [size =\"45808640\"]\n  6 -> 14 [size =\"45808640\"]\n  7 [size=\"62900224\", alpha=\"0.18\", expect_size=\"31450112\"] \n  7 -> 11 [size =\"31450112\"]\n  7 -> 14 [size =\"31450112\"]\n  8 [size=\"51505152\", alpha=\"0.11\", expect_size=\"25752576\"] \n  8 -> 11 [size =\"25752576\"]\n  8 -> 12 [size =\"25752576\"]\n  8 -> 13 [size =\"25752576\"]\n  9 [size=\"45770752\", alpha=\"0.10\", expect_size=\"22885376\"] \n  9 -> 11 [size =\"22885376\"]\n  9 -> 17 [size =\"22885376\"]\n  10 [size=\"34414592\", alpha=\"0.15\", expect_size=\"17207296\"] \n  10 -> 19 [size =\"17207296\"]\n  10 -> 20 [size =\"17207296\"]\n  10 -> 21 [size =\"17207296\"]\n  10 -> 22 [size =\"17207296\"]\n  11 [size=\"100483072\", alpha=\"0.12\", expect_size=\"50241536\"] \n  11 -> 18 [size =\"50241536\"]\n  11 -> 22 [size =\"50241536\"]\n  11 -> 24 [size =\"50241536\"]\n  12 [size=\"65009664\", alpha=\"0.14\", expect_size=\"32504832\"] \n  13 [size=\"71198720\", alpha=\"0.16\", expect_size=\"35599360\"] \n  13 -> 22 [size =\"35599360\"]\n  13 -> 23 [size =\"35599360\"]\n  13 -> 25 [size =\"35599360\"]\n  14 [size=\"97572864\", alpha=\"0.18\", expect_size=\"48786432\"] \n  14 -> 24 [size =\"48786432\"]\n  15 [size=\"44400640\", alpha=\"0.19\", expect_size=\"22200320\"] \n  15 -> 20 [size =\"22200320\"]\n  15 -> 22 [size =\"22200320\"]\n  15 -> 23 [size =\"22200320\"]\n  16 [size=\"21616640\", alpha=\"0.09\", expect_size=\"10808320\"] \n  16 -> 22 [size =\"10808320\"]\n  16 -> 23 [size =\"10808320\"]\n  16 -> 24 [size =\"10808320\"]\n  17 [size=\"100773888\", alpha=\"0.00\", expect_size=\"50386944\"] \n  17 -> 19 [size =\"50386944\"]\n  17 -> 20 [size =\"50386944\"]\n  17 -> 24 [size =\"50386944\"]\n  18 [size=\"93607936\", alpha=\"0.02\", expect_size=\"46803968\"] \n  19 [size=\"51488768\", alpha=\"0.07\", expect_size=\"25744384\"] \n  20 [size=\"97746944\", alpha=\"0.04\", expect_size=\"48873472\"] \n  21 [size=\"72009728\", alpha=\"0.04\", expect_size=\"36004864\"] \n  22 [size=\"36464640\", alpha=\"0.13\", expect_size=\"18232320\"] \n  23 [size=\"100810752\", alpha=\"0.11\", expect_size=\"50405376\"] \n  24 [size=\"84281344\", alpha=\"0.04\", expect_size=\"42140672\"] \n  25 [size=\"76601344\", alpha=\"0.16\", expect_size=\"38300672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43194880\", alpha=\"0.09\", expect_size=\"17277952\"] \n  2 [size=\"69230080\", alpha=\"0.09\", expect_size=\"27692032\"] \n  2 -> 24 [size =\"27692032\"]\n  3 [size=\"57856000\", alpha=\"0.01\", expect_size=\"23142400\"] \n  4 [size=\"115676160\", alpha=\"0.15\", expect_size=\"46270464\"] \n  5 [size=\"14576640\", alpha=\"0.02\", expect_size=\"5830656\"] \n  6 [size=\"102092800\", alpha=\"0.13\", expect_size=\"40837120\"] \n  7 [size=\"28917760\", alpha=\"0.04\", expect_size=\"11567104\"] \n  8 [size=\"73121280\", alpha=\"0.09\", expect_size=\"29248512\"] \n  9 [size=\"15278080\", alpha=\"0.01\", expect_size=\"6111232\"] \n  10 [size=\"99202560\", alpha=\"0.00\", expect_size=\"39681024\"] \n  10 -> 25 [size =\"39681024\"]\n  11 [size=\"92979200\", alpha=\"0.08\", expect_size=\"37191680\"] \n  11 -> 24 [size =\"37191680\"]\n  12 [size=\"25561600\", alpha=\"0.14\", expect_size=\"10224640\"] \n  13 [size=\"78935040\", alpha=\"0.03\", expect_size=\"31574016\"] \n  14 [size=\"82063360\", alpha=\"0.07\", expect_size=\"32825344\"] \n  15 [size=\"50365440\", alpha=\"0.15\", expect_size=\"20146176\"] \n  16 [size=\"64199680\", alpha=\"0.20\", expect_size=\"25679872\"] \n  17 [size=\"21662720\", alpha=\"0.19\", expect_size=\"8665088\"] \n  18 [size=\"42782720\", alpha=\"0.03\", expect_size=\"17113088\"] \n  18 -> 25 [size =\"17113088\"]\n  19 [size=\"93207040\", alpha=\"0.12\", expect_size=\"37282816\"] \n  20 [size=\"96296960\", alpha=\"0.19\", expect_size=\"38518784\"] \n  20 -> 25 [size =\"38518784\"]\n  21 [size=\"98813440\", alpha=\"0.11\", expect_size=\"39525376\"] \n  22 [size=\"29153280\", alpha=\"0.12\", expect_size=\"11661312\"] \n  23 [size=\"112102400\", alpha=\"0.01\", expect_size=\"44840960\"] \n  23 -> 24 [size =\"44840960\"]\n  24 [size=\"126958080\", alpha=\"0.07\", expect_size=\"50783232\"] \n  25 [size=\"52940800\", alpha=\"0.14\", expect_size=\"21176320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46230187\", alpha=\"0.03\", expect_size=\"13869056\"] \n  2 [size=\"113500160\", alpha=\"0.04\", expect_size=\"34050048\"] \n  2 -> 5 [size =\"34050048\"]\n  3 [size=\"84811093\", alpha=\"0.18\", expect_size=\"25443328\"] \n  3 -> 6 [size =\"25443328\"]\n  4 [size=\"142769493\", alpha=\"0.07\", expect_size=\"42830848\"] \n  4 -> 6 [size =\"42830848\"]\n  5 [size=\"173861547\", alpha=\"0.19\", expect_size=\"52158464\"] \n  5 -> 8 [size =\"52158464\"]\n  5 -> 9 [size =\"52158464\"]\n  5 -> 10 [size =\"52158464\"]\n  6 [size=\"45540693\", alpha=\"0.11\", expect_size=\"13662208\"] \n  6 -> 7 [size =\"13662208\"]\n  6 -> 10 [size =\"13662208\"]\n  7 [size=\"172694187\", alpha=\"0.09\", expect_size=\"51808256\"] \n  7 -> 12 [size =\"51808256\"]\n  7 -> 14 [size =\"51808256\"]\n  8 [size=\"38403413\", alpha=\"0.05\", expect_size=\"11521024\"] \n  8 -> 11 [size =\"11521024\"]\n  8 -> 12 [size =\"11521024\"]\n  9 [size=\"48626347\", alpha=\"0.01\", expect_size=\"14587904\"] \n  9 -> 12 [size =\"14587904\"]\n  9 -> 13 [size =\"14587904\"]\n  9 -> 14 [size =\"14587904\"]\n  10 [size=\"90456747\", alpha=\"0.15\", expect_size=\"27137024\"] \n  10 -> 14 [size =\"27137024\"]\n  11 [size=\"114145280\", alpha=\"0.17\", expect_size=\"34243584\"] \n  11 -> 17 [size =\"34243584\"]\n  12 [size=\"139970560\", alpha=\"0.08\", expect_size=\"41991168\"] \n  12 -> 15 [size =\"41991168\"]\n  13 [size=\"171417600\", alpha=\"0.06\", expect_size=\"51425280\"] \n  14 [size=\"153736533\", alpha=\"0.01\", expect_size=\"46120960\"] \n  14 -> 15 [size =\"46120960\"]\n  14 -> 16 [size =\"46120960\"]\n  14 -> 17 [size =\"46120960\"]\n  15 [size=\"52309333\", alpha=\"0.05\", expect_size=\"15692800\"] \n  16 [size=\"45892267\", alpha=\"0.03\", expect_size=\"13767680\"] \n  17 [size=\"132140373\", alpha=\"0.19\", expect_size=\"39642112\"] \n  17 -> 18 [size =\"39642112\"]\n  17 -> 19 [size =\"39642112\"]\n  18 [size=\"42543787\", alpha=\"0.09\", expect_size=\"12763136\"] \n  18 -> 20 [size =\"12763136\"]\n  18 -> 21 [size =\"12763136\"]\n  18 -> 22 [size =\"12763136\"]\n  18 -> 23 [size =\"12763136\"]\n  19 [size=\"83725653\", alpha=\"0.15\", expect_size=\"25117696\"] \n  19 -> 20 [size =\"25117696\"]\n  19 -> 21 [size =\"25117696\"]\n  19 -> 23 [size =\"25117696\"]\n  20 [size=\"92252160\", alpha=\"0.03\", expect_size=\"27675648\"] \n  20 -> 24 [size =\"27675648\"]\n  21 [size=\"50237440\", alpha=\"0.14\", expect_size=\"15071232\"] \n  21 -> 25 [size =\"15071232\"]\n  22 [size=\"29204480\", alpha=\"0.18\", expect_size=\"8761344\"] \n  22 -> 25 [size =\"8761344\"]\n  23 [size=\"89535147\", alpha=\"0.10\", expect_size=\"26860544\"] \n  23 -> 24 [size =\"26860544\"]\n  24 [size=\"139560960\", alpha=\"0.18\", expect_size=\"41868288\"] \n  25 [size=\"151077547\", alpha=\"0.06\", expect_size=\"45323264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49176576\", alpha=\"0.03\", expect_size=\"24588288\"] \n  1 -> 24 [size =\"24588288\"]\n  1 -> 25 [size =\"24588288\"]\n  2 [size=\"11106304\", alpha=\"0.05\", expect_size=\"5553152\"] \n  2 -> 19 [size =\"5553152\"]\n  2 -> 21 [size =\"5553152\"]\n  3 [size=\"84711424\", alpha=\"0.14\", expect_size=\"42355712\"] \n  3 -> 19 [size =\"42355712\"]\n  3 -> 25 [size =\"42355712\"]\n  4 [size=\"97857536\", alpha=\"0.16\", expect_size=\"48928768\"] \n  4 -> 19 [size =\"48928768\"]\n  4 -> 24 [size =\"48928768\"]\n  4 -> 25 [size =\"48928768\"]\n  5 [size=\"95559680\", alpha=\"0.15\", expect_size=\"47779840\"] \n  5 -> 19 [size =\"47779840\"]\n  5 -> 23 [size =\"47779840\"]\n  6 [size=\"87277568\", alpha=\"0.03\", expect_size=\"43638784\"] \n  6 -> 19 [size =\"43638784\"]\n  6 -> 23 [size =\"43638784\"]\n  6 -> 24 [size =\"43638784\"]\n  7 [size=\"22353920\", alpha=\"0.07\", expect_size=\"11176960\"] \n  7 -> 19 [size =\"11176960\"]\n  7 -> 20 [size =\"11176960\"]\n  7 -> 23 [size =\"11176960\"]\n  8 [size=\"48740352\", alpha=\"0.10\", expect_size=\"24370176\"] \n  8 -> 19 [size =\"24370176\"]\n  8 -> 22 [size =\"24370176\"]\n  8 -> 23 [size =\"24370176\"]\n  9 [size=\"47165440\", alpha=\"0.12\", expect_size=\"23582720\"] \n  9 -> 23 [size =\"23582720\"]\n  10 [size=\"80343040\", alpha=\"0.03\", expect_size=\"40171520\"] \n  10 -> 19 [size =\"40171520\"]\n  11 [size=\"69763072\", alpha=\"0.01\", expect_size=\"34881536\"] \n  11 -> 19 [size =\"34881536\"]\n  11 -> 20 [size =\"34881536\"]\n  11 -> 23 [size =\"34881536\"]\n  12 [size=\"82053120\", alpha=\"0.19\", expect_size=\"41026560\"] \n  12 -> 20 [size =\"41026560\"]\n  12 -> 24 [size =\"41026560\"]\n  12 -> 25 [size =\"41026560\"]\n  13 [size=\"104341504\", alpha=\"0.05\", expect_size=\"52170752\"] \n  14 [size=\"73940992\", alpha=\"0.11\", expect_size=\"36970496\"] \n  15 [size=\"54804480\", alpha=\"0.08\", expect_size=\"27402240\"] \n  15 -> 19 [size =\"27402240\"]\n  15 -> 20 [size =\"27402240\"]\n  16 [size=\"30582784\", alpha=\"0.11\", expect_size=\"15291392\"] \n  16 -> 19 [size =\"15291392\"]\n  16 -> 25 [size =\"15291392\"]\n  17 [size=\"46612480\", alpha=\"0.16\", expect_size=\"23306240\"] \n  18 [size=\"80021504\", alpha=\"0.03\", expect_size=\"40010752\"] \n  18 -> 20 [size =\"40010752\"]\n  19 [size=\"32258048\", alpha=\"0.16\", expect_size=\"16129024\"] \n  20 [size=\"88827904\", alpha=\"0.11\", expect_size=\"44413952\"] \n  21 [size=\"102422528\", alpha=\"0.13\", expect_size=\"51211264\"] \n  22 [size=\"14864384\", alpha=\"0.16\", expect_size=\"7432192\"] \n  23 [size=\"11786240\", alpha=\"0.14\", expect_size=\"5893120\"] \n  24 [size=\"36638720\", alpha=\"0.11\", expect_size=\"18319360\"] \n  25 [size=\"90896384\", alpha=\"0.06\", expect_size=\"45448192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69783040\", alpha=\"0.12\", expect_size=\"27913216\"] \n  1 -> 2 [size =\"27913216\"]\n  2 [size=\"50682880\", alpha=\"0.20\", expect_size=\"20273152\"] \n  2 -> 3 [size =\"20273152\"]\n  3 [size=\"82378240\", alpha=\"0.10\", expect_size=\"32951296\"] \n  3 -> 4 [size =\"32951296\"]\n  4 [size=\"32504320\", alpha=\"0.19\", expect_size=\"13001728\"] \n  4 -> 5 [size =\"13001728\"]\n  5 [size=\"47598080\", alpha=\"0.08\", expect_size=\"19039232\"] \n  5 -> 6 [size =\"19039232\"]\n  6 [size=\"45027840\", alpha=\"0.03\", expect_size=\"18011136\"] \n  6 -> 7 [size =\"18011136\"]\n  7 [size=\"60334080\", alpha=\"0.01\", expect_size=\"24133632\"] \n  7 -> 8 [size =\"24133632\"]\n  8 [size=\"93544960\", alpha=\"0.08\", expect_size=\"37417984\"] \n  8 -> 9 [size =\"37417984\"]\n  9 [size=\"98045440\", alpha=\"0.04\", expect_size=\"39218176\"] \n  9 -> 10 [size =\"39218176\"]\n  10 [size=\"27747840\", alpha=\"0.17\", expect_size=\"11099136\"] \n  10 -> 11 [size =\"11099136\"]\n  11 [size=\"126888960\", alpha=\"0.14\", expect_size=\"50755584\"] \n  11 -> 12 [size =\"50755584\"]\n  12 [size=\"77440000\", alpha=\"0.12\", expect_size=\"30976000\"] \n  12 -> 13 [size =\"30976000\"]\n  13 [size=\"76280320\", alpha=\"0.05\", expect_size=\"30512128\"] \n  13 -> 14 [size =\"30512128\"]\n  14 [size=\"18910720\", alpha=\"0.17\", expect_size=\"7564288\"] \n  14 -> 15 [size =\"7564288\"]\n  15 [size=\"15549440\", alpha=\"0.06\", expect_size=\"6219776\"] \n  15 -> 16 [size =\"6219776\"]\n  16 [size=\"60408320\", alpha=\"0.10\", expect_size=\"24163328\"] \n  16 -> 17 [size =\"24163328\"]\n  17 [size=\"77278720\", alpha=\"0.11\", expect_size=\"30911488\"] \n  17 -> 18 [size =\"30911488\"]\n  18 [size=\"82360320\", alpha=\"0.16\", expect_size=\"32944128\"] \n  18 -> 19 [size =\"32944128\"]\n  19 [size=\"129930240\", alpha=\"0.10\", expect_size=\"51972096\"] \n  19 -> 20 [size =\"51972096\"]\n  20 [size=\"34938880\", alpha=\"0.10\", expect_size=\"13975552\"] \n  20 -> 21 [size =\"13975552\"]\n  21 [size=\"19243520\", alpha=\"0.19\", expect_size=\"7697408\"] \n  21 -> 22 [size =\"7697408\"]\n  22 [size=\"102295040\", alpha=\"0.15\", expect_size=\"40918016\"] \n  22 -> 23 [size =\"40918016\"]\n  23 [size=\"55797760\", alpha=\"0.03\", expect_size=\"22319104\"] \n  23 -> 24 [size =\"22319104\"]\n  24 [size=\"82667520\", alpha=\"0.14\", expect_size=\"33067008\"] \n  24 -> 25 [size =\"33067008\"]\n  25 [size=\"65587200\", alpha=\"0.11\", expect_size=\"26234880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12023808\", alpha=\"0.04\", expect_size=\"6011904\"] \n  1 -> 4 [size =\"6011904\"]\n  1 -> 6 [size =\"6011904\"]\n  2 [size=\"65478656\", alpha=\"0.00\", expect_size=\"32739328\"] \n  3 [size=\"46243840\", alpha=\"0.20\", expect_size=\"23121920\"] \n  3 -> 5 [size =\"23121920\"]\n  4 [size=\"93890560\", alpha=\"0.17\", expect_size=\"46945280\"] \n  4 -> 7 [size =\"46945280\"]\n  4 -> 10 [size =\"46945280\"]\n  5 [size=\"51111936\", alpha=\"0.14\", expect_size=\"25555968\"] \n  5 -> 9 [size =\"25555968\"]\n  6 [size=\"48963584\", alpha=\"0.08\", expect_size=\"24481792\"] \n  6 -> 7 [size =\"24481792\"]\n  6 -> 8 [size =\"24481792\"]\n  6 -> 9 [size =\"24481792\"]\n  6 -> 10 [size =\"24481792\"]\n  7 [size=\"33945600\", alpha=\"0.10\", expect_size=\"16972800\"] \n  7 -> 12 [size =\"16972800\"]\n  8 [size=\"59543552\", alpha=\"0.19\", expect_size=\"29771776\"] \n  8 -> 11 [size =\"29771776\"]\n  8 -> 12 [size =\"29771776\"]\n  9 [size=\"63700992\", alpha=\"0.04\", expect_size=\"31850496\"] \n  9 -> 11 [size =\"31850496\"]\n  9 -> 13 [size =\"31850496\"]\n  10 [size=\"98691072\", alpha=\"0.10\", expect_size=\"49345536\"] \n  10 -> 12 [size =\"49345536\"]\n  10 -> 13 [size =\"49345536\"]\n  11 [size=\"44085248\", alpha=\"0.03\", expect_size=\"22042624\"] \n  11 -> 15 [size =\"22042624\"]\n  11 -> 16 [size =\"22042624\"]\n  12 [size=\"64997376\", alpha=\"0.02\", expect_size=\"32498688\"] \n  12 -> 14 [size =\"32498688\"]\n  12 -> 16 [size =\"32498688\"]\n  13 [size=\"66045952\", alpha=\"0.16\", expect_size=\"33022976\"] \n  13 -> 14 [size =\"33022976\"]\n  13 -> 15 [size =\"33022976\"]\n  14 [size=\"63942656\", alpha=\"0.14\", expect_size=\"31971328\"] \n  14 -> 17 [size =\"31971328\"]\n  14 -> 19 [size =\"31971328\"]\n  14 -> 20 [size =\"31971328\"]\n  15 [size=\"47572992\", alpha=\"0.04\", expect_size=\"23786496\"] \n  15 -> 20 [size =\"23786496\"]\n  16 [size=\"17025024\", alpha=\"0.09\", expect_size=\"8512512\"] \n  16 -> 17 [size =\"8512512\"]\n  16 -> 18 [size =\"8512512\"]\n  16 -> 20 [size =\"8512512\"]\n  17 [size=\"57051136\", alpha=\"0.19\", expect_size=\"28525568\"] \n  17 -> 21 [size =\"28525568\"]\n  18 [size=\"102828032\", alpha=\"0.03\", expect_size=\"51414016\"] \n  18 -> 21 [size =\"51414016\"]\n  18 -> 22 [size =\"51414016\"]\n  18 -> 23 [size =\"51414016\"]\n  19 [size=\"99633152\", alpha=\"0.19\", expect_size=\"49816576\"] \n  19 -> 21 [size =\"49816576\"]\n  19 -> 22 [size =\"49816576\"]\n  20 [size=\"22089728\", alpha=\"0.14\", expect_size=\"11044864\"] \n  20 -> 23 [size =\"11044864\"]\n  21 [size=\"71360512\", alpha=\"0.09\", expect_size=\"35680256\"] \n  21 -> 24 [size =\"35680256\"]\n  22 [size=\"86677504\", alpha=\"0.15\", expect_size=\"43338752\"] \n  22 -> 24 [size =\"43338752\"]\n  23 [size=\"94801920\", alpha=\"0.09\", expect_size=\"47400960\"] \n  23 -> 25 [size =\"47400960\"]\n  24 [size=\"73746432\", alpha=\"0.01\", expect_size=\"36873216\"] \n  25 [size=\"44484608\", alpha=\"0.01\", expect_size=\"22242304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158006613\", alpha=\"0.17\", expect_size=\"47401984\"] \n  1 -> 2 [size =\"47401984\"]\n  2 [size=\"124907520\", alpha=\"0.09\", expect_size=\"37472256\"] \n  2 -> 3 [size =\"37472256\"]\n  3 [size=\"156429653\", alpha=\"0.04\", expect_size=\"46928896\"] \n  3 -> 4 [size =\"46928896\"]\n  4 [size=\"55060480\", alpha=\"0.11\", expect_size=\"16518144\"] \n  4 -> 5 [size =\"16518144\"]\n  5 [size=\"65996800\", alpha=\"0.03\", expect_size=\"19799040\"] \n  5 -> 6 [size =\"19799040\"]\n  6 [size=\"36744533\", alpha=\"0.01\", expect_size=\"11023360\"] \n  6 -> 7 [size =\"11023360\"]\n  7 [size=\"151838720\", alpha=\"0.09\", expect_size=\"45551616\"] \n  7 -> 8 [size =\"45551616\"]\n  8 [size=\"170158080\", alpha=\"0.17\", expect_size=\"51047424\"] \n  8 -> 9 [size =\"51047424\"]\n  9 [size=\"139834027\", alpha=\"0.09\", expect_size=\"41950208\"] \n  9 -> 10 [size =\"41950208\"]\n  10 [size=\"79598933\", alpha=\"0.12\", expect_size=\"23879680\"] \n  10 -> 11 [size =\"23879680\"]\n  11 [size=\"41021440\", alpha=\"0.16\", expect_size=\"12306432\"] \n  11 -> 12 [size =\"12306432\"]\n  12 [size=\"18786987\", alpha=\"0.19\", expect_size=\"5636096\"] \n  12 -> 13 [size =\"5636096\"]\n  13 [size=\"89582933\", alpha=\"0.09\", expect_size=\"26874880\"] \n  13 -> 14 [size =\"26874880\"]\n  14 [size=\"118565547\", alpha=\"0.15\", expect_size=\"35569664\"] \n  14 -> 15 [size =\"35569664\"]\n  15 [size=\"43953493\", alpha=\"0.01\", expect_size=\"13186048\"] \n  15 -> 16 [size =\"13186048\"]\n  16 [size=\"68625067\", alpha=\"0.11\", expect_size=\"20587520\"] \n  16 -> 17 [size =\"20587520\"]\n  17 [size=\"79322453\", alpha=\"0.04\", expect_size=\"23796736\"] \n  17 -> 18 [size =\"23796736\"]\n  18 [size=\"147841707\", alpha=\"0.14\", expect_size=\"44352512\"] \n  18 -> 19 [size =\"44352512\"]\n  19 [size=\"124951893\", alpha=\"0.18\", expect_size=\"37485568\"] \n  19 -> 20 [size =\"37485568\"]\n  20 [size=\"36457813\", alpha=\"0.03\", expect_size=\"10937344\"] \n  20 -> 21 [size =\"10937344\"]\n  21 [size=\"130276693\", alpha=\"0.05\", expect_size=\"39083008\"] \n  21 -> 22 [size =\"39083008\"]\n  22 [size=\"94955520\", alpha=\"0.02\", expect_size=\"28486656\"] \n  22 -> 23 [size =\"28486656\"]\n  23 [size=\"84858880\", alpha=\"0.16\", expect_size=\"25457664\"] \n  23 -> 24 [size =\"25457664\"]\n  24 [size=\"158593707\", alpha=\"0.15\", expect_size=\"47578112\"] \n  24 -> 25 [size =\"47578112\"]\n  25 [size=\"118254933\", alpha=\"0.00\", expect_size=\"35476480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91639808\", alpha=\"0.15\", expect_size=\"45819904\"] \n  1 -> 2 [size =\"45819904\"]\n  2 [size=\"93323264\", alpha=\"0.04\", expect_size=\"46661632\"] \n  2 -> 3 [size =\"46661632\"]\n  3 [size=\"38506496\", alpha=\"0.10\", expect_size=\"19253248\"] \n  3 -> 4 [size =\"19253248\"]\n  4 [size=\"85495808\", alpha=\"0.16\", expect_size=\"42747904\"] \n  4 -> 5 [size =\"42747904\"]\n  5 [size=\"18864128\", alpha=\"0.11\", expect_size=\"9432064\"] \n  5 -> 6 [size =\"9432064\"]\n  6 [size=\"64714752\", alpha=\"0.15\", expect_size=\"32357376\"] \n  6 -> 7 [size =\"32357376\"]\n  7 [size=\"21012480\", alpha=\"0.12\", expect_size=\"10506240\"] \n  7 -> 8 [size =\"10506240\"]\n  8 [size=\"71809024\", alpha=\"0.11\", expect_size=\"35904512\"] \n  8 -> 9 [size =\"35904512\"]\n  9 [size=\"43130880\", alpha=\"0.06\", expect_size=\"21565440\"] \n  9 -> 10 [size =\"21565440\"]\n  10 [size=\"17436672\", alpha=\"0.04\", expect_size=\"8718336\"] \n  10 -> 11 [size =\"8718336\"]\n  11 [size=\"37795840\", alpha=\"0.06\", expect_size=\"18897920\"] \n  11 -> 12 [size =\"18897920\"]\n  12 [size=\"14274560\", alpha=\"0.11\", expect_size=\"7137280\"] \n  12 -> 13 [size =\"7137280\"]\n  13 [size=\"31483904\", alpha=\"0.01\", expect_size=\"15741952\"] \n  13 -> 14 [size =\"15741952\"]\n  14 [size=\"80599040\", alpha=\"0.03\", expect_size=\"40299520\"] \n  14 -> 15 [size =\"40299520\"]\n  15 [size=\"61894656\", alpha=\"0.07\", expect_size=\"30947328\"] \n  15 -> 16 [size =\"30947328\"]\n  16 [size=\"18669568\", alpha=\"0.16\", expect_size=\"9334784\"] \n  16 -> 17 [size =\"9334784\"]\n  17 [size=\"91762688\", alpha=\"0.00\", expect_size=\"45881344\"] \n  17 -> 18 [size =\"45881344\"]\n  18 [size=\"56141824\", alpha=\"0.18\", expect_size=\"28070912\"] \n  18 -> 19 [size =\"28070912\"]\n  19 [size=\"15257600\", alpha=\"0.16\", expect_size=\"7628800\"] \n  19 -> 20 [size =\"7628800\"]\n  20 [size=\"42717184\", alpha=\"0.14\", expect_size=\"21358592\"] \n  20 -> 21 [size =\"21358592\"]\n  21 [size=\"60524544\", alpha=\"0.09\", expect_size=\"30262272\"] \n  21 -> 22 [size =\"30262272\"]\n  22 [size=\"87277568\", alpha=\"0.02\", expect_size=\"43638784\"] \n  22 -> 23 [size =\"43638784\"]\n  23 [size=\"46505984\", alpha=\"0.00\", expect_size=\"23252992\"] \n  23 -> 24 [size =\"23252992\"]\n  24 [size=\"51380224\", alpha=\"0.15\", expect_size=\"25690112\"] \n  24 -> 25 [size =\"25690112\"]\n  25 [size=\"65155072\", alpha=\"0.11\", expect_size=\"32577536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29160960\", alpha=\"0.04\", expect_size=\"11664384\"] \n  1 -> 10 [size =\"11664384\"]\n  1 -> 11 [size =\"11664384\"]\n  1 -> 13 [size =\"11664384\"]\n  1 -> 16 [size =\"11664384\"]\n  1 -> 17 [size =\"11664384\"]\n  2 [size=\"73694720\", alpha=\"0.07\", expect_size=\"29477888\"] \n  2 -> 10 [size =\"29477888\"]\n  2 -> 11 [size =\"29477888\"]\n  2 -> 15 [size =\"29477888\"]\n  2 -> 16 [size =\"29477888\"]\n  3 [size=\"90068480\", alpha=\"0.11\", expect_size=\"36027392\"] \n  3 -> 15 [size =\"36027392\"]\n  4 [size=\"52782080\", alpha=\"0.07\", expect_size=\"21112832\"] \n  4 -> 10 [size =\"21112832\"]\n  4 -> 13 [size =\"21112832\"]\n  4 -> 15 [size =\"21112832\"]\n  4 -> 16 [size =\"21112832\"]\n  4 -> 17 [size =\"21112832\"]\n  5 [size=\"125626880\", alpha=\"0.19\", expect_size=\"50250752\"] \n  5 -> 12 [size =\"50250752\"]\n  5 -> 15 [size =\"50250752\"]\n  6 [size=\"22361600\", alpha=\"0.07\", expect_size=\"8944640\"] \n  6 -> 13 [size =\"8944640\"]\n  6 -> 16 [size =\"8944640\"]\n  7 [size=\"52226560\", alpha=\"0.13\", expect_size=\"20890624\"] \n  7 -> 10 [size =\"20890624\"]\n  7 -> 12 [size =\"20890624\"]\n  8 [size=\"92126720\", alpha=\"0.00\", expect_size=\"36850688\"] \n  8 -> 11 [size =\"36850688\"]\n  8 -> 12 [size =\"36850688\"]\n  8 -> 17 [size =\"36850688\"]\n  9 [size=\"88153600\", alpha=\"0.08\", expect_size=\"35261440\"] \n  9 -> 11 [size =\"35261440\"]\n  9 -> 13 [size =\"35261440\"]\n  9 -> 14 [size =\"35261440\"]\n  9 -> 17 [size =\"35261440\"]\n  10 [size=\"61265920\", alpha=\"0.09\", expect_size=\"24506368\"] \n  10 -> 19 [size =\"24506368\"]\n  11 [size=\"54515200\", alpha=\"0.18\", expect_size=\"21806080\"] \n  11 -> 20 [size =\"21806080\"]\n  11 -> 22 [size =\"21806080\"]\n  11 -> 24 [size =\"21806080\"]\n  12 [size=\"80747520\", alpha=\"0.02\", expect_size=\"32299008\"] \n  12 -> 23 [size =\"32299008\"]\n  12 -> 25 [size =\"32299008\"]\n  13 [size=\"122099200\", alpha=\"0.08\", expect_size=\"48839680\"] \n  13 -> 18 [size =\"48839680\"]\n  13 -> 20 [size =\"48839680\"]\n  13 -> 25 [size =\"48839680\"]\n  14 [size=\"69693440\", alpha=\"0.04\", expect_size=\"27877376\"] \n  14 -> 20 [size =\"27877376\"]\n  14 -> 21 [size =\"27877376\"]\n  15 [size=\"108700160\", alpha=\"0.16\", expect_size=\"43480064\"] \n  15 -> 19 [size =\"43480064\"]\n  15 -> 20 [size =\"43480064\"]\n  15 -> 21 [size =\"43480064\"]\n  15 -> 25 [size =\"43480064\"]\n  16 [size=\"105415680\", alpha=\"0.02\", expect_size=\"42166272\"] \n  16 -> 19 [size =\"42166272\"]\n  17 [size=\"30896640\", alpha=\"0.10\", expect_size=\"12358656\"] \n  17 -> 23 [size =\"12358656\"]\n  18 [size=\"106304000\", alpha=\"0.06\", expect_size=\"42521600\"] \n  19 [size=\"107888640\", alpha=\"0.18\", expect_size=\"43155456\"] \n  20 [size=\"38410240\", alpha=\"0.01\", expect_size=\"15364096\"] \n  21 [size=\"89835520\", alpha=\"0.08\", expect_size=\"35934208\"] \n  22 [size=\"79682560\", alpha=\"0.05\", expect_size=\"31873024\"] \n  23 [size=\"92577280\", alpha=\"0.15\", expect_size=\"37030912\"] \n  24 [size=\"20917760\", alpha=\"0.11\", expect_size=\"8367104\"] \n  25 [size=\"46904320\", alpha=\"0.07\", expect_size=\"18761728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21252096\", alpha=\"0.09\", expect_size=\"10626048\"] \n  1 -> 3 [size =\"10626048\"]\n  2 [size=\"85129216\", alpha=\"0.02\", expect_size=\"42564608\"] \n  3 [size=\"34076672\", alpha=\"0.00\", expect_size=\"17038336\"] \n  3 -> 4 [size =\"17038336\"]\n  4 [size=\"78032896\", alpha=\"0.02\", expect_size=\"39016448\"] \n  4 -> 5 [size =\"39016448\"]\n  5 [size=\"63574016\", alpha=\"0.03\", expect_size=\"31787008\"] \n  5 -> 6 [size =\"31787008\"]\n  6 [size=\"89196544\", alpha=\"0.06\", expect_size=\"44598272\"] \n  6 -> 7 [size =\"44598272\"]\n  7 [size=\"63721472\", alpha=\"0.06\", expect_size=\"31860736\"] \n  7 -> 8 [size =\"31860736\"]\n  7 -> 9 [size =\"31860736\"]\n  8 [size=\"93476864\", alpha=\"0.13\", expect_size=\"46738432\"] \n  8 -> 10 [size =\"46738432\"]\n  9 [size=\"58691584\", alpha=\"0.09\", expect_size=\"29345792\"] \n  9 -> 10 [size =\"29345792\"]\n  10 [size=\"93075456\", alpha=\"0.09\", expect_size=\"46537728\"] \n  10 -> 11 [size =\"46537728\"]\n  10 -> 12 [size =\"46537728\"]\n  11 [size=\"41607168\", alpha=\"0.09\", expect_size=\"20803584\"] \n  11 -> 13 [size =\"20803584\"]\n  12 [size=\"82003968\", alpha=\"0.06\", expect_size=\"41001984\"] \n  12 -> 13 [size =\"41001984\"]\n  13 [size=\"92833792\", alpha=\"0.04\", expect_size=\"46416896\"] \n  13 -> 14 [size =\"46416896\"]\n  14 [size=\"93790208\", alpha=\"0.04\", expect_size=\"46895104\"] \n  14 -> 15 [size =\"46895104\"]\n  15 [size=\"10721280\", alpha=\"0.12\", expect_size=\"5360640\"] \n  15 -> 16 [size =\"5360640\"]\n  15 -> 17 [size =\"5360640\"]\n  16 [size=\"26150912\", alpha=\"0.05\", expect_size=\"13075456\"] \n  16 -> 18 [size =\"13075456\"]\n  17 [size=\"56551424\", alpha=\"0.05\", expect_size=\"28275712\"] \n  18 [size=\"82692096\", alpha=\"0.10\", expect_size=\"41346048\"] \n  18 -> 19 [size =\"41346048\"]\n  18 -> 20 [size =\"41346048\"]\n  19 [size=\"49504256\", alpha=\"0.04\", expect_size=\"24752128\"] \n  19 -> 21 [size =\"24752128\"]\n  20 [size=\"92162048\", alpha=\"0.06\", expect_size=\"46081024\"] \n  21 [size=\"39335936\", alpha=\"0.10\", expect_size=\"19667968\"] \n  21 -> 22 [size =\"19667968\"]\n  22 [size=\"80656384\", alpha=\"0.11\", expect_size=\"40328192\"] \n  22 -> 23 [size =\"40328192\"]\n  22 -> 24 [size =\"40328192\"]\n  23 [size=\"14637056\", alpha=\"0.16\", expect_size=\"7318528\"] \n  23 -> 25 [size =\"7318528\"]\n  24 [size=\"34486272\", alpha=\"0.15\", expect_size=\"17243136\"] \n  24 -> 25 [size =\"17243136\"]\n  25 [size=\"55328768\", alpha=\"0.06\", expect_size=\"27664384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114429440\", alpha=\"0.03\", expect_size=\"45771776\"] \n  1 -> 3 [size =\"45771776\"]\n  1 -> 4 [size =\"45771776\"]\n  2 [size=\"19955200\", alpha=\"0.03\", expect_size=\"7982080\"] \n  2 -> 3 [size =\"7982080\"]\n  2 -> 4 [size =\"7982080\"]\n  3 [size=\"24890880\", alpha=\"0.07\", expect_size=\"9956352\"] \n  3 -> 5 [size =\"9956352\"]\n  3 -> 6 [size =\"9956352\"]\n  4 [size=\"64102400\", alpha=\"0.03\", expect_size=\"25640960\"] \n  4 -> 5 [size =\"25640960\"]\n  5 [size=\"59018240\", alpha=\"0.17\", expect_size=\"23607296\"] \n  5 -> 7 [size =\"23607296\"]\n  6 [size=\"18480640\", alpha=\"0.01\", expect_size=\"7392256\"] \n  6 -> 7 [size =\"7392256\"]\n  7 [size=\"31344640\", alpha=\"0.09\", expect_size=\"12537856\"] \n  7 -> 8 [size =\"12537856\"]\n  8 [size=\"99325440\", alpha=\"0.15\", expect_size=\"39730176\"] \n  8 -> 9 [size =\"39730176\"]\n  9 [size=\"123804160\", alpha=\"0.06\", expect_size=\"49521664\"] \n  9 -> 10 [size =\"49521664\"]\n  10 [size=\"41431040\", alpha=\"0.02\", expect_size=\"16572416\"] \n  10 -> 11 [size =\"16572416\"]\n  11 [size=\"45470720\", alpha=\"0.01\", expect_size=\"18188288\"] \n  11 -> 12 [size =\"18188288\"]\n  11 -> 13 [size =\"18188288\"]\n  12 [size=\"64721920\", alpha=\"0.15\", expect_size=\"25888768\"] \n  13 [size=\"80002560\", alpha=\"0.00\", expect_size=\"32001024\"] \n  13 -> 14 [size =\"32001024\"]\n  14 [size=\"122314240\", alpha=\"0.09\", expect_size=\"48925696\"] \n  14 -> 15 [size =\"48925696\"]\n  15 [size=\"24742400\", alpha=\"0.09\", expect_size=\"9896960\"] \n  15 -> 16 [size =\"9896960\"]\n  16 [size=\"125063680\", alpha=\"0.17\", expect_size=\"50025472\"] \n  16 -> 17 [size =\"50025472\"]\n  17 [size=\"14748160\", alpha=\"0.15\", expect_size=\"5899264\"] \n  17 -> 18 [size =\"5899264\"]\n  17 -> 19 [size =\"5899264\"]\n  18 [size=\"66728960\", alpha=\"0.02\", expect_size=\"26691584\"] \n  19 [size=\"38679040\", alpha=\"0.19\", expect_size=\"15471616\"] \n  19 -> 20 [size =\"15471616\"]\n  20 [size=\"73794560\", alpha=\"0.11\", expect_size=\"29517824\"] \n  20 -> 21 [size =\"29517824\"]\n  20 -> 22 [size =\"29517824\"]\n  21 [size=\"85575680\", alpha=\"0.01\", expect_size=\"34230272\"] \n  21 -> 23 [size =\"34230272\"]\n  21 -> 24 [size =\"34230272\"]\n  22 [size=\"92119040\", alpha=\"0.11\", expect_size=\"36847616\"] \n  22 -> 23 [size =\"36847616\"]\n  22 -> 24 [size =\"36847616\"]\n  23 [size=\"65377280\", alpha=\"0.04\", expect_size=\"26150912\"] \n  23 -> 25 [size =\"26150912\"]\n  24 [size=\"66227200\", alpha=\"0.05\", expect_size=\"26490880\"] \n  24 -> 25 [size =\"26490880\"]\n  25 [size=\"117926400\", alpha=\"0.15\", expect_size=\"47170560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46059520\", alpha=\"0.07\", expect_size=\"13817856\"] \n  1 -> 4 [size =\"13817856\"]\n  1 -> 6 [size =\"13817856\"]\n  1 -> 7 [size =\"13817856\"]\n  2 [size=\"21377707\", alpha=\"0.03\", expect_size=\"6413312\"] \n  2 -> 4 [size =\"6413312\"]\n  2 -> 5 [size =\"6413312\"]\n  3 [size=\"61081600\", alpha=\"0.03\", expect_size=\"18324480\"] \n  4 [size=\"104574293\", alpha=\"0.05\", expect_size=\"31372288\"] \n  4 -> 8 [size =\"31372288\"]\n  4 -> 10 [size =\"31372288\"]\n  5 [size=\"142871893\", alpha=\"0.02\", expect_size=\"42861568\"] \n  5 -> 9 [size =\"42861568\"]\n  5 -> 10 [size =\"42861568\"]\n  6 [size=\"73977173\", alpha=\"0.14\", expect_size=\"22193152\"] \n  7 [size=\"137550507\", alpha=\"0.12\", expect_size=\"41265152\"] \n  7 -> 9 [size =\"41265152\"]\n  8 [size=\"62003200\", alpha=\"0.18\", expect_size=\"18600960\"] \n  8 -> 11 [size =\"18600960\"]\n  8 -> 12 [size =\"18600960\"]\n  9 [size=\"140728320\", alpha=\"0.19\", expect_size=\"42218496\"] \n  9 -> 11 [size =\"42218496\"]\n  10 [size=\"74472107\", alpha=\"0.12\", expect_size=\"22341632\"] \n  10 -> 12 [size =\"22341632\"]\n  11 [size=\"68403200\", alpha=\"0.16\", expect_size=\"20520960\"] \n  11 -> 13 [size =\"20520960\"]\n  11 -> 14 [size =\"20520960\"]\n  11 -> 15 [size =\"20520960\"]\n  12 [size=\"121125547\", alpha=\"0.00\", expect_size=\"36337664\"] \n  12 -> 13 [size =\"36337664\"]\n  12 -> 14 [size =\"36337664\"]\n  12 -> 16 [size =\"36337664\"]\n  13 [size=\"142004907\", alpha=\"0.15\", expect_size=\"42601472\"] \n  13 -> 17 [size =\"42601472\"]\n  14 [size=\"166847147\", alpha=\"0.19\", expect_size=\"50054144\"] \n  14 -> 19 [size =\"50054144\"]\n  14 -> 20 [size =\"50054144\"]\n  15 [size=\"52087467\", alpha=\"0.12\", expect_size=\"15626240\"] \n  15 -> 17 [size =\"15626240\"]\n  15 -> 18 [size =\"15626240\"]\n  15 -> 20 [size =\"15626240\"]\n  16 [size=\"69833387\", alpha=\"0.03\", expect_size=\"20950016\"] \n  16 -> 17 [size =\"20950016\"]\n  17 [size=\"19469653\", alpha=\"0.09\", expect_size=\"5840896\"] \n  17 -> 21 [size =\"5840896\"]\n  18 [size=\"113974613\", alpha=\"0.11\", expect_size=\"34192384\"] \n  18 -> 21 [size =\"34192384\"]\n  18 -> 24 [size =\"34192384\"]\n  19 [size=\"95699627\", alpha=\"0.19\", expect_size=\"28709888\"] \n  19 -> 21 [size =\"28709888\"]\n  19 -> 23 [size =\"28709888\"]\n  20 [size=\"86097920\", alpha=\"0.17\", expect_size=\"25829376\"] \n  20 -> 22 [size =\"25829376\"]\n  21 [size=\"25849173\", alpha=\"0.18\", expect_size=\"7754752\"] \n  21 -> 25 [size =\"7754752\"]\n  22 [size=\"147828053\", alpha=\"0.01\", expect_size=\"44348416\"] \n  23 [size=\"150613333\", alpha=\"0.08\", expect_size=\"45184000\"] \n  24 [size=\"107714560\", alpha=\"0.07\", expect_size=\"32314368\"] \n  24 -> 25 [size =\"32314368\"]\n  25 [size=\"101891413\", alpha=\"0.02\", expect_size=\"30567424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12933120\", alpha=\"0.08\", expect_size=\"6466560\"] \n  1 -> 14 [size =\"6466560\"]\n  1 -> 15 [size =\"6466560\"]\n  2 [size=\"58871808\", alpha=\"0.20\", expect_size=\"29435904\"] \n  2 -> 13 [size =\"29435904\"]\n  2 -> 14 [size =\"29435904\"]\n  2 -> 16 [size =\"29435904\"]\n  3 [size=\"66015232\", alpha=\"0.14\", expect_size=\"33007616\"] \n  3 -> 14 [size =\"33007616\"]\n  3 -> 16 [size =\"33007616\"]\n  4 [size=\"61886464\", alpha=\"0.10\", expect_size=\"30943232\"] \n  4 -> 11 [size =\"30943232\"]\n  4 -> 15 [size =\"30943232\"]\n  4 -> 16 [size =\"30943232\"]\n  5 [size=\"84600832\", alpha=\"0.16\", expect_size=\"42300416\"] \n  5 -> 15 [size =\"42300416\"]\n  6 [size=\"21485568\", alpha=\"0.15\", expect_size=\"10742784\"] \n  6 -> 14 [size =\"10742784\"]\n  6 -> 15 [size =\"10742784\"]\n  6 -> 16 [size =\"10742784\"]\n  7 [size=\"65835008\", alpha=\"0.05\", expect_size=\"32917504\"] \n  7 -> 11 [size =\"32917504\"]\n  7 -> 13 [size =\"32917504\"]\n  7 -> 14 [size =\"32917504\"]\n  7 -> 16 [size =\"32917504\"]\n  8 [size=\"71708672\", alpha=\"0.09\", expect_size=\"35854336\"] \n  8 -> 11 [size =\"35854336\"]\n  8 -> 14 [size =\"35854336\"]\n  8 -> 16 [size =\"35854336\"]\n  9 [size=\"87816192\", alpha=\"0.17\", expect_size=\"43908096\"] \n  9 -> 12 [size =\"43908096\"]\n  9 -> 15 [size =\"43908096\"]\n  9 -> 16 [size =\"43908096\"]\n  10 [size=\"15230976\", alpha=\"0.02\", expect_size=\"7615488\"] \n  10 -> 11 [size =\"7615488\"]\n  10 -> 16 [size =\"7615488\"]\n  10 -> 16 [size =\"7615488\"]\n  11 [size=\"96110592\", alpha=\"0.08\", expect_size=\"48055296\"] \n  11 -> 19 [size =\"48055296\"]\n  11 -> 24 [size =\"48055296\"]\n  12 [size=\"40757248\", alpha=\"0.19\", expect_size=\"20378624\"] \n  12 -> 17 [size =\"20378624\"]\n  12 -> 18 [size =\"20378624\"]\n  12 -> 19 [size =\"20378624\"]\n  12 -> 21 [size =\"20378624\"]\n  12 -> 22 [size =\"20378624\"]\n  13 [size=\"39401472\", alpha=\"0.20\", expect_size=\"19700736\"] \n  13 -> 17 [size =\"19700736\"]\n  13 -> 18 [size =\"19700736\"]\n  13 -> 19 [size =\"19700736\"]\n  13 -> 20 [size =\"19700736\"]\n  13 -> 23 [size =\"19700736\"]\n  13 -> 25 [size =\"19700736\"]\n  14 [size=\"104302592\", alpha=\"0.06\", expect_size=\"52151296\"] \n  14 -> 17 [size =\"52151296\"]\n  14 -> 19 [size =\"52151296\"]\n  14 -> 22 [size =\"52151296\"]\n  14 -> 23 [size =\"52151296\"]\n  14 -> 23 [size =\"52151296\"]\n  14 -> 25 [size =\"52151296\"]\n  15 [size=\"56090624\", alpha=\"0.16\", expect_size=\"28045312\"] \n  15 -> 17 [size =\"28045312\"]\n  15 -> 18 [size =\"28045312\"]\n  15 -> 21 [size =\"28045312\"]\n  15 -> 22 [size =\"28045312\"]\n  15 -> 25 [size =\"28045312\"]\n  15 -> 25 [size =\"28045312\"]\n  16 [size=\"34875392\", alpha=\"0.05\", expect_size=\"17437696\"] \n  16 -> 17 [size =\"17437696\"]\n  16 -> 24 [size =\"17437696\"]\n  16 -> 25 [size =\"17437696\"]\n  17 [size=\"13146112\", alpha=\"0.07\", expect_size=\"6573056\"] \n  18 [size=\"35840000\", alpha=\"0.04\", expect_size=\"17920000\"] \n  19 [size=\"76009472\", alpha=\"0.18\", expect_size=\"38004736\"] \n  20 [size=\"61214720\", alpha=\"0.06\", expect_size=\"30607360\"] \n  21 [size=\"71997440\", alpha=\"0.15\", expect_size=\"35998720\"] \n  22 [size=\"16138240\", alpha=\"0.14\", expect_size=\"8069120\"] \n  23 [size=\"11177984\", alpha=\"0.05\", expect_size=\"5588992\"] \n  24 [size=\"104536064\", alpha=\"0.07\", expect_size=\"52268032\"] \n  25 [size=\"40349696\", alpha=\"0.04\", expect_size=\"20174848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38570667\", alpha=\"0.18\", expect_size=\"11571200\"] \n  1 -> 2 [size =\"11571200\"]\n  2 [size=\"79947093\", alpha=\"0.19\", expect_size=\"23984128\"] \n  2 -> 3 [size =\"23984128\"]\n  3 [size=\"58050560\", alpha=\"0.13\", expect_size=\"17415168\"] \n  3 -> 4 [size =\"17415168\"]\n  4 [size=\"60962133\", alpha=\"0.07\", expect_size=\"18288640\"] \n  4 -> 5 [size =\"18288640\"]\n  5 [size=\"23937707\", alpha=\"0.19\", expect_size=\"7181312\"] \n  5 -> 6 [size =\"7181312\"]\n  6 [size=\"168133973\", alpha=\"0.19\", expect_size=\"50440192\"] \n  6 -> 7 [size =\"50440192\"]\n  7 [size=\"81800533\", alpha=\"0.15\", expect_size=\"24540160\"] \n  7 -> 8 [size =\"24540160\"]\n  8 [size=\"96658773\", alpha=\"0.02\", expect_size=\"28997632\"] \n  8 -> 9 [size =\"28997632\"]\n  9 [size=\"147428693\", alpha=\"0.12\", expect_size=\"44228608\"] \n  9 -> 10 [size =\"44228608\"]\n  10 [size=\"159505067\", alpha=\"0.12\", expect_size=\"47851520\"] \n  10 -> 11 [size =\"47851520\"]\n  11 [size=\"119446187\", alpha=\"0.11\", expect_size=\"35833856\"] \n  11 -> 12 [size =\"35833856\"]\n  12 [size=\"104843947\", alpha=\"0.16\", expect_size=\"31453184\"] \n  12 -> 13 [size =\"31453184\"]\n  13 [size=\"99601067\", alpha=\"0.05\", expect_size=\"29880320\"] \n  13 -> 14 [size =\"29880320\"]\n  14 [size=\"42400427\", alpha=\"0.13\", expect_size=\"12720128\"] \n  14 -> 15 [size =\"12720128\"]\n  15 [size=\"97426773\", alpha=\"0.18\", expect_size=\"29228032\"] \n  15 -> 16 [size =\"29228032\"]\n  16 [size=\"90241707\", alpha=\"0.20\", expect_size=\"27072512\"] \n  16 -> 17 [size =\"27072512\"]\n  17 [size=\"85937493\", alpha=\"0.08\", expect_size=\"25781248\"] \n  17 -> 18 [size =\"25781248\"]\n  18 [size=\"44151467\", alpha=\"0.10\", expect_size=\"13245440\"] \n  18 -> 19 [size =\"13245440\"]\n  19 [size=\"58736640\", alpha=\"0.18\", expect_size=\"17620992\"] \n  19 -> 20 [size =\"17620992\"]\n  20 [size=\"156504747\", alpha=\"0.11\", expect_size=\"46951424\"] \n  20 -> 21 [size =\"46951424\"]\n  21 [size=\"95450453\", alpha=\"0.06\", expect_size=\"28635136\"] \n  21 -> 22 [size =\"28635136\"]\n  22 [size=\"20879360\", alpha=\"0.09\", expect_size=\"6263808\"] \n  22 -> 23 [size =\"6263808\"]\n  23 [size=\"142974293\", alpha=\"0.17\", expect_size=\"42892288\"] \n  23 -> 24 [size =\"42892288\"]\n  24 [size=\"28388693\", alpha=\"0.11\", expect_size=\"8516608\"] \n  24 -> 25 [size =\"8516608\"]\n  25 [size=\"131177813\", alpha=\"0.05\", expect_size=\"39353344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77668352\", alpha=\"0.03\", expect_size=\"38834176\"] \n  1 -> 4 [size =\"38834176\"]\n  2 [size=\"28272640\", alpha=\"0.05\", expect_size=\"14136320\"] \n  2 -> 3 [size =\"14136320\"]\n  2 -> 4 [size =\"14136320\"]\n  3 [size=\"77330432\", alpha=\"0.07\", expect_size=\"38665216\"] \n  3 -> 5 [size =\"38665216\"]\n  3 -> 6 [size =\"38665216\"]\n  4 [size=\"86218752\", alpha=\"0.07\", expect_size=\"43109376\"] \n  4 -> 6 [size =\"43109376\"]\n  5 [size=\"29696000\", alpha=\"0.19\", expect_size=\"14848000\"] \n  5 -> 7 [size =\"14848000\"]\n  6 [size=\"102866944\", alpha=\"0.14\", expect_size=\"51433472\"] \n  6 -> 7 [size =\"51433472\"]\n  7 [size=\"70348800\", alpha=\"0.03\", expect_size=\"35174400\"] \n  7 -> 8 [size =\"35174400\"]\n  7 -> 9 [size =\"35174400\"]\n  8 [size=\"90695680\", alpha=\"0.11\", expect_size=\"45347840\"] \n  8 -> 10 [size =\"45347840\"]\n  8 -> 11 [size =\"45347840\"]\n  9 [size=\"28598272\", alpha=\"0.09\", expect_size=\"14299136\"] \n  9 -> 11 [size =\"14299136\"]\n  10 [size=\"51675136\", alpha=\"0.10\", expect_size=\"25837568\"] \n  10 -> 12 [size =\"25837568\"]\n  11 [size=\"40933376\", alpha=\"0.12\", expect_size=\"20466688\"] \n  11 -> 12 [size =\"20466688\"]\n  12 [size=\"57196544\", alpha=\"0.15\", expect_size=\"28598272\"] \n  12 -> 13 [size =\"28598272\"]\n  13 [size=\"78960640\", alpha=\"0.17\", expect_size=\"39480320\"] \n  13 -> 14 [size =\"39480320\"]\n  14 [size=\"15828992\", alpha=\"0.18\", expect_size=\"7914496\"] \n  14 -> 15 [size =\"7914496\"]\n  15 [size=\"51177472\", alpha=\"0.11\", expect_size=\"25588736\"] \n  15 -> 16 [size =\"25588736\"]\n  16 [size=\"45946880\", alpha=\"0.08\", expect_size=\"22973440\"] \n  16 -> 17 [size =\"22973440\"]\n  17 [size=\"17469440\", alpha=\"0.14\", expect_size=\"8734720\"] \n  17 -> 18 [size =\"8734720\"]\n  18 [size=\"30720000\", alpha=\"0.02\", expect_size=\"15360000\"] \n  18 -> 19 [size =\"15360000\"]\n  18 -> 20 [size =\"15360000\"]\n  19 [size=\"80697344\", alpha=\"0.15\", expect_size=\"40348672\"] \n  19 -> 21 [size =\"40348672\"]\n  20 [size=\"26812416\", alpha=\"0.08\", expect_size=\"13406208\"] \n  20 -> 21 [size =\"13406208\"]\n  21 [size=\"74391552\", alpha=\"0.16\", expect_size=\"37195776\"] \n  21 -> 22 [size =\"37195776\"]\n  22 [size=\"36141056\", alpha=\"0.07\", expect_size=\"18070528\"] \n  22 -> 23 [size =\"18070528\"]\n  23 [size=\"11089920\", alpha=\"0.12\", expect_size=\"5544960\"] \n  23 -> 24 [size =\"5544960\"]\n  23 -> 25 [size =\"5544960\"]\n  24 [size=\"89061376\", alpha=\"0.14\", expect_size=\"44530688\"] \n  25 [size=\"80363520\", alpha=\"0.20\", expect_size=\"40181760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162938880\", alpha=\"0.08\", expect_size=\"48881664\"] \n  1 -> 3 [size =\"48881664\"]\n  1 -> 4 [size =\"48881664\"]\n  2 [size=\"109690880\", alpha=\"0.16\", expect_size=\"32907264\"] \n  2 -> 4 [size =\"32907264\"]\n  3 [size=\"140605440\", alpha=\"0.09\", expect_size=\"42181632\"] \n  3 -> 6 [size =\"42181632\"]\n  4 [size=\"119862613\", alpha=\"0.05\", expect_size=\"35958784\"] \n  4 -> 5 [size =\"35958784\"]\n  4 -> 6 [size =\"35958784\"]\n  5 [size=\"44851200\", alpha=\"0.10\", expect_size=\"13455360\"] \n  5 -> 8 [size =\"13455360\"]\n  6 [size=\"161027413\", alpha=\"0.07\", expect_size=\"48308224\"] \n  6 -> 7 [size =\"48308224\"]\n  7 [size=\"141588480\", alpha=\"0.10\", expect_size=\"42476544\"] \n  7 -> 9 [size =\"42476544\"]\n  8 [size=\"77424640\", alpha=\"0.10\", expect_size=\"23227392\"] \n  8 -> 9 [size =\"23227392\"]\n  9 [size=\"49206613\", alpha=\"0.08\", expect_size=\"14761984\"] \n  9 -> 10 [size =\"14761984\"]\n  9 -> 11 [size =\"14761984\"]\n  10 [size=\"74154667\", alpha=\"0.08\", expect_size=\"22246400\"] \n  11 [size=\"29979307\", alpha=\"0.07\", expect_size=\"8993792\"] \n  11 -> 12 [size =\"8993792\"]\n  12 [size=\"93583360\", alpha=\"0.05\", expect_size=\"28075008\"] \n  12 -> 13 [size =\"28075008\"]\n  13 [size=\"62849707\", alpha=\"0.15\", expect_size=\"18854912\"] \n  13 -> 14 [size =\"18854912\"]\n  13 -> 15 [size =\"18854912\"]\n  14 [size=\"134867627\", alpha=\"0.06\", expect_size=\"40460288\"] \n  15 [size=\"171431253\", alpha=\"0.11\", expect_size=\"51429376\"] \n  15 -> 16 [size =\"51429376\"]\n  16 [size=\"89698987\", alpha=\"0.11\", expect_size=\"26909696\"] \n  16 -> 17 [size =\"26909696\"]\n  16 -> 18 [size =\"26909696\"]\n  17 [size=\"148200107\", alpha=\"0.08\", expect_size=\"44460032\"] \n  17 -> 19 [size =\"44460032\"]\n  18 [size=\"67693227\", alpha=\"0.09\", expect_size=\"20307968\"] \n  18 -> 19 [size =\"20307968\"]\n  19 [size=\"148493653\", alpha=\"0.14\", expect_size=\"44548096\"] \n  19 -> 20 [size =\"44548096\"]\n  19 -> 21 [size =\"44548096\"]\n  20 [size=\"56282453\", alpha=\"0.11\", expect_size=\"16884736\"] \n  20 -> 22 [size =\"16884736\"]\n  21 [size=\"120309760\", alpha=\"0.06\", expect_size=\"36092928\"] \n  21 -> 23 [size =\"36092928\"]\n  22 [size=\"172820480\", alpha=\"0.13\", expect_size=\"51846144\"] \n  22 -> 25 [size =\"51846144\"]\n  23 [size=\"52367360\", alpha=\"0.15\", expect_size=\"15710208\"] \n  23 -> 24 [size =\"15710208\"]\n  23 -> 25 [size =\"15710208\"]\n  24 [size=\"172390400\", alpha=\"0.11\", expect_size=\"51717120\"] \n  25 [size=\"61279573\", alpha=\"0.10\", expect_size=\"18383872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39063040\", alpha=\"0.08\", expect_size=\"15625216\"] \n  1 -> 2 [size =\"15625216\"]\n  2 [size=\"122777600\", alpha=\"0.12\", expect_size=\"49111040\"] \n  2 -> 3 [size =\"49111040\"]\n  2 -> 4 [size =\"49111040\"]\n  3 [size=\"129080320\", alpha=\"0.01\", expect_size=\"51632128\"] \n  3 -> 6 [size =\"51632128\"]\n  4 [size=\"62727680\", alpha=\"0.03\", expect_size=\"25091072\"] \n  4 -> 5 [size =\"25091072\"]\n  4 -> 6 [size =\"25091072\"]\n  5 [size=\"63329280\", alpha=\"0.02\", expect_size=\"25331712\"] \n  5 -> 7 [size =\"25331712\"]\n  6 [size=\"55316480\", alpha=\"0.03\", expect_size=\"22126592\"] \n  6 -> 7 [size =\"22126592\"]\n  7 [size=\"105136640\", alpha=\"0.01\", expect_size=\"42054656\"] \n  7 -> 8 [size =\"42054656\"]\n  8 [size=\"95091200\", alpha=\"0.11\", expect_size=\"38036480\"] \n  8 -> 9 [size =\"38036480\"]\n  9 [size=\"18073600\", alpha=\"0.05\", expect_size=\"7229440\"] \n  9 -> 10 [size =\"7229440\"]\n  10 [size=\"57968640\", alpha=\"0.03\", expect_size=\"23187456\"] \n  10 -> 11 [size =\"23187456\"]\n  10 -> 12 [size =\"23187456\"]\n  11 [size=\"112885760\", alpha=\"0.12\", expect_size=\"45154304\"] \n  11 -> 13 [size =\"45154304\"]\n  11 -> 14 [size =\"45154304\"]\n  12 [size=\"40053760\", alpha=\"0.06\", expect_size=\"16021504\"] \n  12 -> 13 [size =\"16021504\"]\n  12 -> 14 [size =\"16021504\"]\n  13 [size=\"110786560\", alpha=\"0.19\", expect_size=\"44314624\"] \n  13 -> 15 [size =\"44314624\"]\n  14 [size=\"116956160\", alpha=\"0.01\", expect_size=\"46782464\"] \n  14 -> 15 [size =\"46782464\"]\n  15 [size=\"14251520\", alpha=\"0.07\", expect_size=\"5700608\"] \n  15 -> 16 [size =\"5700608\"]\n  16 [size=\"26990080\", alpha=\"0.03\", expect_size=\"10796032\"] \n  16 -> 17 [size =\"10796032\"]\n  17 [size=\"43276800\", alpha=\"0.01\", expect_size=\"17310720\"] \n  17 -> 18 [size =\"17310720\"]\n  18 [size=\"51000320\", alpha=\"0.08\", expect_size=\"20400128\"] \n  18 -> 19 [size =\"20400128\"]\n  18 -> 20 [size =\"20400128\"]\n  19 [size=\"115069440\", alpha=\"0.16\", expect_size=\"46027776\"] \n  20 [size=\"25415680\", alpha=\"0.10\", expect_size=\"10166272\"] \n  20 -> 21 [size =\"10166272\"]\n  21 [size=\"45079040\", alpha=\"0.09\", expect_size=\"18031616\"] \n  21 -> 22 [size =\"18031616\"]\n  22 [size=\"116910080\", alpha=\"0.06\", expect_size=\"46764032\"] \n  22 -> 23 [size =\"46764032\"]\n  22 -> 24 [size =\"46764032\"]\n  23 [size=\"34447360\", alpha=\"0.03\", expect_size=\"13778944\"] \n  23 -> 25 [size =\"13778944\"]\n  24 [size=\"27816960\", alpha=\"0.08\", expect_size=\"11126784\"] \n  24 -> 25 [size =\"11126784\"]\n  25 [size=\"32701440\", alpha=\"0.02\", expect_size=\"13080576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41533440\", alpha=\"0.17\", expect_size=\"12460032\"] \n  1 -> 3 [size =\"12460032\"]\n  2 [size=\"103621973\", alpha=\"0.10\", expect_size=\"31086592\"] \n  2 -> 3 [size =\"31086592\"]\n  3 [size=\"71038293\", alpha=\"0.01\", expect_size=\"21311488\"] \n  3 -> 4 [size =\"21311488\"]\n  3 -> 5 [size =\"21311488\"]\n  4 [size=\"166656000\", alpha=\"0.09\", expect_size=\"49996800\"] \n  4 -> 6 [size =\"49996800\"]\n  5 [size=\"114087253\", alpha=\"0.17\", expect_size=\"34226176\"] \n  5 -> 6 [size =\"34226176\"]\n  6 [size=\"70669653\", alpha=\"0.09\", expect_size=\"21200896\"] \n  6 -> 7 [size =\"21200896\"]\n  6 -> 8 [size =\"21200896\"]\n  7 [size=\"82432000\", alpha=\"0.09\", expect_size=\"24729600\"] \n  7 -> 9 [size =\"24729600\"]\n  8 [size=\"26958507\", alpha=\"0.09\", expect_size=\"8087552\"] \n  8 -> 9 [size =\"8087552\"]\n  8 -> 10 [size =\"8087552\"]\n  9 [size=\"119377920\", alpha=\"0.15\", expect_size=\"35813376\"] \n  9 -> 11 [size =\"35813376\"]\n  9 -> 12 [size =\"35813376\"]\n  10 [size=\"64901120\", alpha=\"0.09\", expect_size=\"19470336\"] \n  10 -> 12 [size =\"19470336\"]\n  11 [size=\"27460267\", alpha=\"0.08\", expect_size=\"8238080\"] \n  11 -> 13 [size =\"8238080\"]\n  11 -> 14 [size =\"8238080\"]\n  12 [size=\"162280107\", alpha=\"0.20\", expect_size=\"48684032\"] \n  12 -> 13 [size =\"48684032\"]\n  13 [size=\"83152213\", alpha=\"0.19\", expect_size=\"24945664\"] \n  13 -> 15 [size =\"24945664\"]\n  14 [size=\"93433173\", alpha=\"0.10\", expect_size=\"28029952\"] \n  14 -> 15 [size =\"28029952\"]\n  15 [size=\"164300800\", alpha=\"0.04\", expect_size=\"49290240\"] \n  15 -> 16 [size =\"49290240\"]\n  15 -> 17 [size =\"49290240\"]\n  16 [size=\"143749120\", alpha=\"0.20\", expect_size=\"43124736\"] \n  16 -> 18 [size =\"43124736\"]\n  17 [size=\"57838933\", alpha=\"0.12\", expect_size=\"17351680\"] \n  18 [size=\"124859733\", alpha=\"0.19\", expect_size=\"37457920\"] \n  18 -> 19 [size =\"37457920\"]\n  19 [size=\"40710827\", alpha=\"0.14\", expect_size=\"12213248\"] \n  19 -> 20 [size =\"12213248\"]\n  19 -> 21 [size =\"12213248\"]\n  20 [size=\"161334613\", alpha=\"0.13\", expect_size=\"48400384\"] \n  21 [size=\"74424320\", alpha=\"0.15\", expect_size=\"22327296\"] \n  21 -> 22 [size =\"22327296\"]\n  22 [size=\"137823573\", alpha=\"0.09\", expect_size=\"41347072\"] \n  22 -> 23 [size =\"41347072\"]\n  22 -> 24 [size =\"41347072\"]\n  23 [size=\"136325120\", alpha=\"0.09\", expect_size=\"40897536\"] \n  23 -> 25 [size =\"40897536\"]\n  24 [size=\"124569600\", alpha=\"0.08\", expect_size=\"37370880\"] \n  25 [size=\"44086613\", alpha=\"0.19\", expect_size=\"13225984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97530880\", alpha=\"0.08\", expect_size=\"39012352\"] \n  1 -> 13 [size =\"39012352\"]\n  1 -> 15 [size =\"39012352\"]\n  1 -> 16 [size =\"39012352\"]\n  1 -> 18 [size =\"39012352\"]\n  1 -> 19 [size =\"39012352\"]\n  2 [size=\"56768000\", alpha=\"0.13\", expect_size=\"22707200\"] \n  2 -> 13 [size =\"22707200\"]\n  2 -> 18 [size =\"22707200\"]\n  2 -> 19 [size =\"22707200\"]\n  3 [size=\"102504960\", alpha=\"0.03\", expect_size=\"41001984\"] \n  3 -> 13 [size =\"41001984\"]\n  3 -> 14 [size =\"41001984\"]\n  3 -> 16 [size =\"41001984\"]\n  3 -> 18 [size =\"41001984\"]\n  3 -> 19 [size =\"41001984\"]\n  4 [size=\"67064320\", alpha=\"0.13\", expect_size=\"26825728\"] \n  4 -> 14 [size =\"26825728\"]\n  4 -> 14 [size =\"26825728\"]\n  4 -> 16 [size =\"26825728\"]\n  4 -> 18 [size =\"26825728\"]\n  4 -> 19 [size =\"26825728\"]\n  5 [size=\"34647040\", alpha=\"0.20\", expect_size=\"13858816\"] \n  5 -> 14 [size =\"13858816\"]\n  5 -> 16 [size =\"13858816\"]\n  5 -> 18 [size =\"13858816\"]\n  5 -> 18 [size =\"13858816\"]\n  6 [size=\"42053120\", alpha=\"0.15\", expect_size=\"16821248\"] \n  6 -> 14 [size =\"16821248\"]\n  6 -> 16 [size =\"16821248\"]\n  6 -> 18 [size =\"16821248\"]\n  6 -> 19 [size =\"16821248\"]\n  7 [size=\"25809920\", alpha=\"0.14\", expect_size=\"10323968\"] \n  7 -> 16 [size =\"10323968\"]\n  7 -> 16 [size =\"10323968\"]\n  7 -> 17 [size =\"10323968\"]\n  7 -> 18 [size =\"10323968\"]\n  7 -> 19 [size =\"10323968\"]\n  8 [size=\"75330560\", alpha=\"0.10\", expect_size=\"30132224\"] \n  8 -> 13 [size =\"30132224\"]\n  8 -> 14 [size =\"30132224\"]\n  8 -> 16 [size =\"30132224\"]\n  8 -> 17 [size =\"30132224\"]\n  8 -> 18 [size =\"30132224\"]\n  8 -> 19 [size =\"30132224\"]\n  9 [size=\"112814080\", alpha=\"0.07\", expect_size=\"45125632\"] \n  9 -> 13 [size =\"45125632\"]\n  9 -> 14 [size =\"45125632\"]\n  9 -> 16 [size =\"45125632\"]\n  9 -> 18 [size =\"45125632\"]\n  9 -> 19 [size =\"45125632\"]\n  10 [size=\"25607680\", alpha=\"0.15\", expect_size=\"10243072\"] \n  10 -> 13 [size =\"10243072\"]\n  10 -> 14 [size =\"10243072\"]\n  10 -> 16 [size =\"10243072\"]\n  10 -> 19 [size =\"10243072\"]\n  11 [size=\"107110400\", alpha=\"0.19\", expect_size=\"42844160\"] \n  11 -> 13 [size =\"42844160\"]\n  11 -> 14 [size =\"42844160\"]\n  12 [size=\"38146560\", alpha=\"0.15\", expect_size=\"15258624\"] \n  12 -> 13 [size =\"15258624\"]\n  12 -> 14 [size =\"15258624\"]\n  12 -> 16 [size =\"15258624\"]\n  12 -> 18 [size =\"15258624\"]\n  12 -> 19 [size =\"15258624\"]\n  13 [size=\"115020800\", alpha=\"0.04\", expect_size=\"46008320\"] \n  13 -> 20 [size =\"46008320\"]\n  14 [size=\"130119680\", alpha=\"0.00\", expect_size=\"52047872\"] \n  15 [size=\"90787840\", alpha=\"0.11\", expect_size=\"36315136\"] \n  15 -> 20 [size =\"36315136\"]\n  15 -> 21 [size =\"36315136\"]\n  15 -> 22 [size =\"36315136\"]\n  15 -> 24 [size =\"36315136\"]\n  16 [size=\"89338880\", alpha=\"0.18\", expect_size=\"35735552\"] \n  16 -> 20 [size =\"35735552\"]\n  16 -> 22 [size =\"35735552\"]\n  16 -> 23 [size =\"35735552\"]\n  16 -> 24 [size =\"35735552\"]\n  17 [size=\"58250240\", alpha=\"0.03\", expect_size=\"23300096\"] \n  17 -> 20 [size =\"23300096\"]\n  17 -> 21 [size =\"23300096\"]\n  17 -> 22 [size =\"23300096\"]\n  18 [size=\"20776960\", alpha=\"0.11\", expect_size=\"8310784\"] \n  18 -> 20 [size =\"8310784\"]\n  18 -> 21 [size =\"8310784\"]\n  18 -> 22 [size =\"8310784\"]\n  18 -> 23 [size =\"8310784\"]\n  18 -> 25 [size =\"8310784\"]\n  19 [size=\"78464000\", alpha=\"0.17\", expect_size=\"31385600\"] \n  19 -> 20 [size =\"31385600\"]\n  19 -> 21 [size =\"31385600\"]\n  19 -> 22 [size =\"31385600\"]\n  20 [size=\"121136640\", alpha=\"0.02\", expect_size=\"48454656\"] \n  21 [size=\"89561600\", alpha=\"0.02\", expect_size=\"35824640\"] \n  22 [size=\"84083200\", alpha=\"0.08\", expect_size=\"33633280\"] \n  23 [size=\"54645760\", alpha=\"0.10\", expect_size=\"21858304\"] \n  24 [size=\"79290880\", alpha=\"0.01\", expect_size=\"31716352\"] \n  25 [size=\"81057280\", alpha=\"0.16\", expect_size=\"32422912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48524800\", alpha=\"0.12\", expect_size=\"19409920\"] \n  1 -> 21 [size =\"19409920\"]\n  1 -> 22 [size =\"19409920\"]\n  1 -> 24 [size =\"19409920\"]\n  1 -> 25 [size =\"19409920\"]\n  2 [size=\"114775040\", alpha=\"0.08\", expect_size=\"45910016\"] \n  2 -> 22 [size =\"45910016\"]\n  2 -> 24 [size =\"45910016\"]\n  2 -> 24 [size =\"45910016\"]\n  3 [size=\"44769280\", alpha=\"0.10\", expect_size=\"17907712\"] \n  3 -> 22 [size =\"17907712\"]\n  3 -> 23 [size =\"17907712\"]\n  4 [size=\"67207680\", alpha=\"0.08\", expect_size=\"26883072\"] \n  5 [size=\"90721280\", alpha=\"0.08\", expect_size=\"36288512\"] \n  5 -> 21 [size =\"36288512\"]\n  5 -> 22 [size =\"36288512\"]\n  5 -> 23 [size =\"36288512\"]\n  5 -> 24 [size =\"36288512\"]\n  6 [size=\"75148800\", alpha=\"0.04\", expect_size=\"30059520\"] \n  6 -> 21 [size =\"30059520\"]\n  6 -> 23 [size =\"30059520\"]\n  6 -> 24 [size =\"30059520\"]\n  6 -> 24 [size =\"30059520\"]\n  7 [size=\"59427840\", alpha=\"0.03\", expect_size=\"23771136\"] \n  7 -> 21 [size =\"23771136\"]\n  7 -> 22 [size =\"23771136\"]\n  7 -> 23 [size =\"23771136\"]\n  8 [size=\"64798720\", alpha=\"0.18\", expect_size=\"25919488\"] \n  8 -> 21 [size =\"25919488\"]\n  8 -> 22 [size =\"25919488\"]\n  8 -> 23 [size =\"25919488\"]\n  8 -> 24 [size =\"25919488\"]\n  9 [size=\"63201280\", alpha=\"0.10\", expect_size=\"25280512\"] \n  9 -> 24 [size =\"25280512\"]\n  10 [size=\"73090560\", alpha=\"0.03\", expect_size=\"29236224\"] \n  10 -> 21 [size =\"29236224\"]\n  10 -> 23 [size =\"29236224\"]\n  10 -> 24 [size =\"29236224\"]\n  11 [size=\"37726720\", alpha=\"0.11\", expect_size=\"15090688\"] \n  11 -> 21 [size =\"15090688\"]\n  11 -> 23 [size =\"15090688\"]\n  11 -> 24 [size =\"15090688\"]\n  12 [size=\"107727360\", alpha=\"0.12\", expect_size=\"43090944\"] \n  12 -> 21 [size =\"43090944\"]\n  12 -> 24 [size =\"43090944\"]\n  12 -> 24 [size =\"43090944\"]\n  12 -> 25 [size =\"43090944\"]\n  13 [size=\"35983360\", alpha=\"0.01\", expect_size=\"14393344\"] \n  13 -> 21 [size =\"14393344\"]\n  13 -> 24 [size =\"14393344\"]\n  14 [size=\"92984320\", alpha=\"0.06\", expect_size=\"37193728\"] \n  14 -> 22 [size =\"37193728\"]\n  14 -> 23 [size =\"37193728\"]\n  14 -> 25 [size =\"37193728\"]\n  15 [size=\"24151040\", alpha=\"0.09\", expect_size=\"9660416\"] \n  15 -> 21 [size =\"9660416\"]\n  15 -> 22 [size =\"9660416\"]\n  15 -> 23 [size =\"9660416\"]\n  16 [size=\"70228480\", alpha=\"0.02\", expect_size=\"28091392\"] \n  16 -> 21 [size =\"28091392\"]\n  16 -> 22 [size =\"28091392\"]\n  16 -> 23 [size =\"28091392\"]\n  16 -> 24 [size =\"28091392\"]\n  17 [size=\"94801920\", alpha=\"0.06\", expect_size=\"37920768\"] \n  17 -> 21 [size =\"37920768\"]\n  17 -> 22 [size =\"37920768\"]\n  17 -> 23 [size =\"37920768\"]\n  17 -> 24 [size =\"37920768\"]\n  17 -> 25 [size =\"37920768\"]\n  18 [size=\"114552320\", alpha=\"0.16\", expect_size=\"45820928\"] \n  18 -> 22 [size =\"45820928\"]\n  18 -> 22 [size =\"45820928\"]\n  18 -> 23 [size =\"45820928\"]\n  18 -> 24 [size =\"45820928\"]\n  19 [size=\"100881920\", alpha=\"0.11\", expect_size=\"40352768\"] \n  19 -> 22 [size =\"40352768\"]\n  19 -> 23 [size =\"40352768\"]\n  19 -> 24 [size =\"40352768\"]\n  20 [size=\"42618880\", alpha=\"0.18\", expect_size=\"17047552\"] \n  20 -> 22 [size =\"17047552\"]\n  20 -> 24 [size =\"17047552\"]\n  21 [size=\"62364160\", alpha=\"0.12\", expect_size=\"24945664\"] \n  22 [size=\"124551680\", alpha=\"0.02\", expect_size=\"49820672\"] \n  23 [size=\"80194560\", alpha=\"0.18\", expect_size=\"32077824\"] \n  24 [size=\"86896640\", alpha=\"0.03\", expect_size=\"34758656\"] \n  25 [size=\"125071360\", alpha=\"0.01\", expect_size=\"50028544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88625152\", alpha=\"0.13\", expect_size=\"44312576\"] \n  1 -> 2 [size =\"44312576\"]\n  2 [size=\"26896384\", alpha=\"0.01\", expect_size=\"13448192\"] \n  2 -> 3 [size =\"13448192\"]\n  3 [size=\"62289920\", alpha=\"0.10\", expect_size=\"31144960\"] \n  3 -> 4 [size =\"31144960\"]\n  4 [size=\"61958144\", alpha=\"0.06\", expect_size=\"30979072\"] \n  4 -> 5 [size =\"30979072\"]\n  5 [size=\"91658240\", alpha=\"0.03\", expect_size=\"45829120\"] \n  5 -> 6 [size =\"45829120\"]\n  6 [size=\"100835328\", alpha=\"0.19\", expect_size=\"50417664\"] \n  6 -> 7 [size =\"50417664\"]\n  7 [size=\"59652096\", alpha=\"0.11\", expect_size=\"29826048\"] \n  7 -> 8 [size =\"29826048\"]\n  8 [size=\"14579712\", alpha=\"0.12\", expect_size=\"7289856\"] \n  8 -> 9 [size =\"7289856\"]\n  9 [size=\"63651840\", alpha=\"0.13\", expect_size=\"31825920\"] \n  9 -> 10 [size =\"31825920\"]\n  10 [size=\"94500864\", alpha=\"0.16\", expect_size=\"47250432\"] \n  10 -> 11 [size =\"47250432\"]\n  11 [size=\"42471424\", alpha=\"0.12\", expect_size=\"21235712\"] \n  11 -> 12 [size =\"21235712\"]\n  12 [size=\"101982208\", alpha=\"0.05\", expect_size=\"50991104\"] \n  12 -> 13 [size =\"50991104\"]\n  13 [size=\"14594048\", alpha=\"0.18\", expect_size=\"7297024\"] \n  13 -> 14 [size =\"7297024\"]\n  14 [size=\"59508736\", alpha=\"0.19\", expect_size=\"29754368\"] \n  14 -> 15 [size =\"29754368\"]\n  15 [size=\"85465088\", alpha=\"0.11\", expect_size=\"42732544\"] \n  15 -> 16 [size =\"42732544\"]\n  16 [size=\"99538944\", alpha=\"0.12\", expect_size=\"49769472\"] \n  16 -> 17 [size =\"49769472\"]\n  17 [size=\"92471296\", alpha=\"0.14\", expect_size=\"46235648\"] \n  17 -> 18 [size =\"46235648\"]\n  18 [size=\"50800640\", alpha=\"0.00\", expect_size=\"25400320\"] \n  18 -> 19 [size =\"25400320\"]\n  19 [size=\"13373440\", alpha=\"0.07\", expect_size=\"6686720\"] \n  19 -> 20 [size =\"6686720\"]\n  20 [size=\"72767488\", alpha=\"0.05\", expect_size=\"36383744\"] \n  20 -> 21 [size =\"36383744\"]\n  21 [size=\"53510144\", alpha=\"0.20\", expect_size=\"26755072\"] \n  21 -> 22 [size =\"26755072\"]\n  22 [size=\"17973248\", alpha=\"0.18\", expect_size=\"8986624\"] \n  22 -> 23 [size =\"8986624\"]\n  23 [size=\"40574976\", alpha=\"0.07\", expect_size=\"20287488\"] \n  23 -> 24 [size =\"20287488\"]\n  24 [size=\"29052928\", alpha=\"0.07\", expect_size=\"14526464\"] \n  24 -> 25 [size =\"14526464\"]\n  25 [size=\"26503168\", alpha=\"0.04\", expect_size=\"13251584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64174080\", alpha=\"0.01\", expect_size=\"19252224\"] \n  1 -> 2 [size =\"19252224\"]\n  2 [size=\"75902293\", alpha=\"0.06\", expect_size=\"22770688\"] \n  2 -> 3 [size =\"22770688\"]\n  3 [size=\"169396907\", alpha=\"0.17\", expect_size=\"50819072\"] \n  3 -> 4 [size =\"50819072\"]\n  4 [size=\"34095787\", alpha=\"0.11\", expect_size=\"10228736\"] \n  4 -> 5 [size =\"10228736\"]\n  5 [size=\"40458240\", alpha=\"0.01\", expect_size=\"12137472\"] \n  5 -> 6 [size =\"12137472\"]\n  6 [size=\"83080533\", alpha=\"0.13\", expect_size=\"24924160\"] \n  6 -> 7 [size =\"24924160\"]\n  7 [size=\"62853120\", alpha=\"0.06\", expect_size=\"18855936\"] \n  7 -> 8 [size =\"18855936\"]\n  8 [size=\"133280427\", alpha=\"0.17\", expect_size=\"39984128\"] \n  8 -> 9 [size =\"39984128\"]\n  9 [size=\"41065813\", alpha=\"0.01\", expect_size=\"12319744\"] \n  9 -> 10 [size =\"12319744\"]\n  10 [size=\"110892373\", alpha=\"0.19\", expect_size=\"33267712\"] \n  10 -> 11 [size =\"33267712\"]\n  11 [size=\"97989973\", alpha=\"0.14\", expect_size=\"29396992\"] \n  11 -> 12 [size =\"29396992\"]\n  12 [size=\"103249920\", alpha=\"0.09\", expect_size=\"30974976\"] \n  12 -> 13 [size =\"30974976\"]\n  13 [size=\"153555627\", alpha=\"0.01\", expect_size=\"46066688\"] \n  13 -> 14 [size =\"46066688\"]\n  14 [size=\"126706347\", alpha=\"0.20\", expect_size=\"38011904\"] \n  14 -> 15 [size =\"38011904\"]\n  15 [size=\"59484160\", alpha=\"0.10\", expect_size=\"17845248\"] \n  15 -> 16 [size =\"17845248\"]\n  16 [size=\"69031253\", alpha=\"0.10\", expect_size=\"20709376\"] \n  16 -> 17 [size =\"20709376\"]\n  17 [size=\"173462187\", alpha=\"0.13\", expect_size=\"52038656\"] \n  17 -> 18 [size =\"52038656\"]\n  18 [size=\"60948480\", alpha=\"0.18\", expect_size=\"18284544\"] \n  18 -> 19 [size =\"18284544\"]\n  19 [size=\"39406933\", alpha=\"0.00\", expect_size=\"11822080\"] \n  19 -> 20 [size =\"11822080\"]\n  20 [size=\"45612373\", alpha=\"0.12\", expect_size=\"13683712\"] \n  20 -> 21 [size =\"13683712\"]\n  21 [size=\"38563840\", alpha=\"0.09\", expect_size=\"11569152\"] \n  21 -> 22 [size =\"11569152\"]\n  22 [size=\"150295893\", alpha=\"0.14\", expect_size=\"45088768\"] \n  22 -> 23 [size =\"45088768\"]\n  23 [size=\"65979733\", alpha=\"0.19\", expect_size=\"19793920\"] \n  23 -> 24 [size =\"19793920\"]\n  24 [size=\"76666880\", alpha=\"0.05\", expect_size=\"23000064\"] \n  24 -> 25 [size =\"23000064\"]\n  25 [size=\"76523520\", alpha=\"0.14\", expect_size=\"22957056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68460544\", alpha=\"0.14\", expect_size=\"34230272\"] \n  2 [size=\"27901952\", alpha=\"0.13\", expect_size=\"13950976\"] \n  3 [size=\"19793920\", alpha=\"0.11\", expect_size=\"9896960\"] \n  3 -> 25 [size =\"9896960\"]\n  4 [size=\"50755584\", alpha=\"0.04\", expect_size=\"25377792\"] \n  5 [size=\"20264960\", alpha=\"0.20\", expect_size=\"10132480\"] \n  5 -> 25 [size =\"10132480\"]\n  6 [size=\"20563968\", alpha=\"0.04\", expect_size=\"10281984\"] \n  6 -> 25 [size =\"10281984\"]\n  7 [size=\"87984128\", alpha=\"0.18\", expect_size=\"43992064\"] \n  7 -> 25 [size =\"43992064\"]\n  8 [size=\"72603648\", alpha=\"0.05\", expect_size=\"36301824\"] \n  9 [size=\"27033600\", alpha=\"0.01\", expect_size=\"13516800\"] \n  9 -> 25 [size =\"13516800\"]\n  10 [size=\"46555136\", alpha=\"0.17\", expect_size=\"23277568\"] \n  11 [size=\"16078848\", alpha=\"0.13\", expect_size=\"8039424\"] \n  12 [size=\"81737728\", alpha=\"0.08\", expect_size=\"40868864\"] \n  12 -> 25 [size =\"40868864\"]\n  13 [size=\"49645568\", alpha=\"0.17\", expect_size=\"24822784\"] \n  14 [size=\"100390912\", alpha=\"0.00\", expect_size=\"50195456\"] \n  15 [size=\"27219968\", alpha=\"0.18\", expect_size=\"13609984\"] \n  16 [size=\"25102336\", alpha=\"0.14\", expect_size=\"12551168\"] \n  16 -> 25 [size =\"12551168\"]\n  17 [size=\"41756672\", alpha=\"0.15\", expect_size=\"20878336\"] \n  18 [size=\"30547968\", alpha=\"0.12\", expect_size=\"15273984\"] \n  18 -> 25 [size =\"15273984\"]\n  19 [size=\"54769664\", alpha=\"0.11\", expect_size=\"27384832\"] \n  19 -> 25 [size =\"27384832\"]\n  20 [size=\"60209152\", alpha=\"0.12\", expect_size=\"30104576\"] \n  21 [size=\"47814656\", alpha=\"0.05\", expect_size=\"23907328\"] \n  21 -> 24 [size =\"23907328\"]\n  21 -> 25 [size =\"23907328\"]\n  22 [size=\"14635008\", alpha=\"0.02\", expect_size=\"7317504\"] \n  22 -> 24 [size =\"7317504\"]\n  23 [size=\"53377024\", alpha=\"0.01\", expect_size=\"26688512\"] \n  24 [size=\"39249920\", alpha=\"0.08\", expect_size=\"19624960\"] \n  25 [size=\"41478144\", alpha=\"0.18\", expect_size=\"20739072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90060800\", alpha=\"0.03\", expect_size=\"27018240\"] \n  1 -> 18 [size =\"27018240\"]\n  1 -> 23 [size =\"27018240\"]\n  1 -> 25 [size =\"27018240\"]\n  1 -> 25 [size =\"27018240\"]\n  2 [size=\"73171627\", alpha=\"0.13\", expect_size=\"21951488\"] \n  2 -> 20 [size =\"21951488\"]\n  2 -> 21 [size =\"21951488\"]\n  3 [size=\"111134720\", alpha=\"0.01\", expect_size=\"33340416\"] \n  3 -> 18 [size =\"33340416\"]\n  3 -> 20 [size =\"33340416\"]\n  4 [size=\"19083947\", alpha=\"0.09\", expect_size=\"5725184\"] \n  4 -> 19 [size =\"5725184\"]\n  4 -> 22 [size =\"5725184\"]\n  4 -> 23 [size =\"5725184\"]\n  5 [size=\"91538773\", alpha=\"0.07\", expect_size=\"27461632\"] \n  5 -> 20 [size =\"27461632\"]\n  5 -> 24 [size =\"27461632\"]\n  6 [size=\"143636480\", alpha=\"0.16\", expect_size=\"43090944\"] \n  6 -> 19 [size =\"43090944\"]\n  6 -> 20 [size =\"43090944\"]\n  6 -> 23 [size =\"43090944\"]\n  7 [size=\"161024000\", alpha=\"0.20\", expect_size=\"48307200\"] \n  7 -> 21 [size =\"48307200\"]\n  7 -> 22 [size =\"48307200\"]\n  8 [size=\"171728213\", alpha=\"0.07\", expect_size=\"51518464\"] \n  8 -> 19 [size =\"51518464\"]\n  8 -> 20 [size =\"51518464\"]\n  8 -> 25 [size =\"51518464\"]\n  9 [size=\"71424000\", alpha=\"0.18\", expect_size=\"21427200\"] \n  9 -> 18 [size =\"21427200\"]\n  9 -> 23 [size =\"21427200\"]\n  10 [size=\"169809920\", alpha=\"0.06\", expect_size=\"50942976\"] \n  10 -> 18 [size =\"50942976\"]\n  10 -> 22 [size =\"50942976\"]\n  10 -> 24 [size =\"50942976\"]\n  10 -> 25 [size =\"50942976\"]\n  11 [size=\"106420907\", alpha=\"0.10\", expect_size=\"31926272\"] \n  11 -> 18 [size =\"31926272\"]\n  11 -> 21 [size =\"31926272\"]\n  11 -> 23 [size =\"31926272\"]\n  11 -> 24 [size =\"31926272\"]\n  12 [size=\"131853653\", alpha=\"0.14\", expect_size=\"39556096\"] \n  12 -> 18 [size =\"39556096\"]\n  12 -> 23 [size =\"39556096\"]\n  12 -> 24 [size =\"39556096\"]\n  12 -> 24 [size =\"39556096\"]\n  12 -> 25 [size =\"39556096\"]\n  13 [size=\"73533440\", alpha=\"0.19\", expect_size=\"22060032\"] \n  13 -> 18 [size =\"22060032\"]\n  13 -> 22 [size =\"22060032\"]\n  13 -> 24 [size =\"22060032\"]\n  14 [size=\"83056640\", alpha=\"0.16\", expect_size=\"24916992\"] \n  14 -> 18 [size =\"24916992\"]\n  14 -> 20 [size =\"24916992\"]\n  14 -> 22 [size =\"24916992\"]\n  14 -> 25 [size =\"24916992\"]\n  15 [size=\"151316480\", alpha=\"0.00\", expect_size=\"45394944\"] \n  15 -> 19 [size =\"45394944\"]\n  15 -> 20 [size =\"45394944\"]\n  15 -> 23 [size =\"45394944\"]\n  15 -> 24 [size =\"45394944\"]\n  15 -> 25 [size =\"45394944\"]\n  16 [size=\"47284907\", alpha=\"0.00\", expect_size=\"14185472\"] \n  16 -> 18 [size =\"14185472\"]\n  16 -> 19 [size =\"14185472\"]\n  16 -> 20 [size =\"14185472\"]\n  16 -> 22 [size =\"14185472\"]\n  16 -> 23 [size =\"14185472\"]\n  16 -> 24 [size =\"14185472\"]\n  16 -> 25 [size =\"14185472\"]\n  17 [size=\"170103467\", alpha=\"0.04\", expect_size=\"51031040\"] \n  17 -> 19 [size =\"51031040\"]\n  17 -> 22 [size =\"51031040\"]\n  17 -> 23 [size =\"51031040\"]\n  17 -> 25 [size =\"51031040\"]\n  18 [size=\"167485440\", alpha=\"0.06\", expect_size=\"50245632\"] \n  19 [size=\"63119360\", alpha=\"0.01\", expect_size=\"18935808\"] \n  20 [size=\"45253973\", alpha=\"0.16\", expect_size=\"13576192\"] \n  21 [size=\"94474240\", alpha=\"0.01\", expect_size=\"28342272\"] \n  22 [size=\"169775787\", alpha=\"0.13\", expect_size=\"50932736\"] \n  23 [size=\"124644693\", alpha=\"0.17\", expect_size=\"37393408\"] \n  24 [size=\"119961600\", alpha=\"0.01\", expect_size=\"35988480\"] \n  25 [size=\"91132587\", alpha=\"0.14\", expect_size=\"27339776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56012800\", alpha=\"0.02\", expect_size=\"16803840\"] \n  1 -> 7 [size =\"16803840\"]\n  1 -> 9 [size =\"16803840\"]\n  2 [size=\"104120320\", alpha=\"0.19\", expect_size=\"31236096\"] \n  2 -> 5 [size =\"31236096\"]\n  2 -> 6 [size =\"31236096\"]\n  2 -> 7 [size =\"31236096\"]\n  2 -> 9 [size =\"31236096\"]\n  3 [size=\"146681173\", alpha=\"0.16\", expect_size=\"44004352\"] \n  3 -> 6 [size =\"44004352\"]\n  3 -> 8 [size =\"44004352\"]\n  4 [size=\"69847040\", alpha=\"0.14\", expect_size=\"20954112\"] \n  4 -> 6 [size =\"20954112\"]\n  5 [size=\"94726827\", alpha=\"0.13\", expect_size=\"28418048\"] \n  6 [size=\"139598507\", alpha=\"0.17\", expect_size=\"41879552\"] \n  6 -> 10 [size =\"41879552\"]\n  6 -> 11 [size =\"41879552\"]\n  6 -> 12 [size =\"41879552\"]\n  7 [size=\"49435307\", alpha=\"0.16\", expect_size=\"14830592\"] \n  7 -> 11 [size =\"14830592\"]\n  8 [size=\"53445973\", alpha=\"0.15\", expect_size=\"16033792\"] \n  8 -> 10 [size =\"16033792\"]\n  8 -> 13 [size =\"16033792\"]\n  9 [size=\"136089600\", alpha=\"0.10\", expect_size=\"40826880\"] \n  9 -> 10 [size =\"40826880\"]\n  9 -> 11 [size =\"40826880\"]\n  10 [size=\"123067733\", alpha=\"0.02\", expect_size=\"36920320\"] \n  10 -> 16 [size =\"36920320\"]\n  10 -> 17 [size =\"36920320\"]\n  10 -> 18 [size =\"36920320\"]\n  11 [size=\"41417387\", alpha=\"0.06\", expect_size=\"12425216\"] \n  11 -> 15 [size =\"12425216\"]\n  11 -> 16 [size =\"12425216\"]\n  12 [size=\"57972053\", alpha=\"0.11\", expect_size=\"17391616\"] \n  12 -> 16 [size =\"17391616\"]\n  12 -> 17 [size =\"17391616\"]\n  13 [size=\"53452800\", alpha=\"0.13\", expect_size=\"16035840\"] \n  13 -> 14 [size =\"16035840\"]\n  13 -> 17 [size =\"16035840\"]\n  14 [size=\"18821120\", alpha=\"0.15\", expect_size=\"5646336\"] \n  14 -> 19 [size =\"5646336\"]\n  15 [size=\"125600427\", alpha=\"0.14\", expect_size=\"37680128\"] \n  15 -> 19 [size =\"37680128\"]\n  15 -> 20 [size =\"37680128\"]\n  16 [size=\"70802773\", alpha=\"0.02\", expect_size=\"21240832\"] \n  16 -> 19 [size =\"21240832\"]\n  16 -> 20 [size =\"21240832\"]\n  17 [size=\"43304960\", alpha=\"0.14\", expect_size=\"12991488\"] \n  17 -> 20 [size =\"12991488\"]\n  18 [size=\"169427627\", alpha=\"0.04\", expect_size=\"50828288\"] \n  19 [size=\"132843520\", alpha=\"0.13\", expect_size=\"39853056\"] \n  19 -> 21 [size =\"39853056\"]\n  19 -> 22 [size =\"39853056\"]\n  19 -> 23 [size =\"39853056\"]\n  19 -> 24 [size =\"39853056\"]\n  20 [size=\"51647147\", alpha=\"0.04\", expect_size=\"15494144\"] \n  20 -> 21 [size =\"15494144\"]\n  20 -> 22 [size =\"15494144\"]\n  20 -> 23 [size =\"15494144\"]\n  21 [size=\"68311040\", alpha=\"0.00\", expect_size=\"20493312\"] \n  21 -> 25 [size =\"20493312\"]\n  22 [size=\"117176320\", alpha=\"0.07\", expect_size=\"35152896\"] \n  22 -> 25 [size =\"35152896\"]\n  23 [size=\"47223467\", alpha=\"0.11\", expect_size=\"14167040\"] \n  24 [size=\"147070293\", alpha=\"0.01\", expect_size=\"44121088\"] \n  24 -> 25 [size =\"44121088\"]\n  25 [size=\"109533867\", alpha=\"0.00\", expect_size=\"32860160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25518080\", alpha=\"0.04\", expect_size=\"12759040\"] \n  1 -> 2 [size =\"12759040\"]\n  2 [size=\"96374784\", alpha=\"0.10\", expect_size=\"48187392\"] \n  2 -> 3 [size =\"48187392\"]\n  3 [size=\"71907328\", alpha=\"0.06\", expect_size=\"35953664\"] \n  3 -> 4 [size =\"35953664\"]\n  4 [size=\"29970432\", alpha=\"0.08\", expect_size=\"14985216\"] \n  4 -> 5 [size =\"14985216\"]\n  5 [size=\"48912384\", alpha=\"0.04\", expect_size=\"24456192\"] \n  5 -> 6 [size =\"24456192\"]\n  6 [size=\"74575872\", alpha=\"0.15\", expect_size=\"37287936\"] \n  6 -> 7 [size =\"37287936\"]\n  7 [size=\"52938752\", alpha=\"0.06\", expect_size=\"26469376\"] \n  7 -> 8 [size =\"26469376\"]\n  8 [size=\"71378944\", alpha=\"0.20\", expect_size=\"35689472\"] \n  8 -> 9 [size =\"35689472\"]\n  9 [size=\"29960192\", alpha=\"0.02\", expect_size=\"14980096\"] \n  9 -> 10 [size =\"14980096\"]\n  10 [size=\"54052864\", alpha=\"0.04\", expect_size=\"27026432\"] \n  10 -> 11 [size =\"27026432\"]\n  11 [size=\"33198080\", alpha=\"0.14\", expect_size=\"16599040\"] \n  11 -> 12 [size =\"16599040\"]\n  12 [size=\"50833408\", alpha=\"0.17\", expect_size=\"25416704\"] \n  12 -> 13 [size =\"25416704\"]\n  13 [size=\"97343488\", alpha=\"0.16\", expect_size=\"48671744\"] \n  13 -> 14 [size =\"48671744\"]\n  14 [size=\"32587776\", alpha=\"0.03\", expect_size=\"16293888\"] \n  14 -> 15 [size =\"16293888\"]\n  15 [size=\"68169728\", alpha=\"0.07\", expect_size=\"34084864\"] \n  15 -> 16 [size =\"34084864\"]\n  16 [size=\"86315008\", alpha=\"0.13\", expect_size=\"43157504\"] \n  16 -> 17 [size =\"43157504\"]\n  17 [size=\"63690752\", alpha=\"0.07\", expect_size=\"31845376\"] \n  17 -> 18 [size =\"31845376\"]\n  18 [size=\"94164992\", alpha=\"0.05\", expect_size=\"47082496\"] \n  18 -> 19 [size =\"47082496\"]\n  19 [size=\"92098560\", alpha=\"0.19\", expect_size=\"46049280\"] \n  19 -> 20 [size =\"46049280\"]\n  20 [size=\"99506176\", alpha=\"0.17\", expect_size=\"49753088\"] \n  20 -> 21 [size =\"49753088\"]\n  21 [size=\"24870912\", alpha=\"0.18\", expect_size=\"12435456\"] \n  21 -> 22 [size =\"12435456\"]\n  22 [size=\"91801600\", alpha=\"0.17\", expect_size=\"45900800\"] \n  22 -> 23 [size =\"45900800\"]\n  23 [size=\"75737088\", alpha=\"0.10\", expect_size=\"37868544\"] \n  23 -> 24 [size =\"37868544\"]\n  24 [size=\"54640640\", alpha=\"0.06\", expect_size=\"27320320\"] \n  24 -> 25 [size =\"27320320\"]\n  25 [size=\"68898816\", alpha=\"0.11\", expect_size=\"34449408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79024640\", alpha=\"0.09\", expect_size=\"31609856\"] \n  1 -> 2 [size =\"31609856\"]\n  1 -> 3 [size =\"31609856\"]\n  2 [size=\"88327680\", alpha=\"0.17\", expect_size=\"35331072\"] \n  2 -> 4 [size =\"35331072\"]\n  2 -> 5 [size =\"35331072\"]\n  3 [size=\"23316480\", alpha=\"0.05\", expect_size=\"9326592\"] \n  3 -> 4 [size =\"9326592\"]\n  3 -> 5 [size =\"9326592\"]\n  4 [size=\"27125760\", alpha=\"0.02\", expect_size=\"10850304\"] \n  4 -> 6 [size =\"10850304\"]\n  5 [size=\"24506880\", alpha=\"0.05\", expect_size=\"9802752\"] \n  5 -> 6 [size =\"9802752\"]\n  6 [size=\"78545920\", alpha=\"0.03\", expect_size=\"31418368\"] \n  6 -> 7 [size =\"31418368\"]\n  7 [size=\"101734400\", alpha=\"0.13\", expect_size=\"40693760\"] \n  7 -> 8 [size =\"40693760\"]\n  7 -> 9 [size =\"40693760\"]\n  8 [size=\"92725760\", alpha=\"0.02\", expect_size=\"37090304\"] \n  8 -> 11 [size =\"37090304\"]\n  9 [size=\"85923840\", alpha=\"0.20\", expect_size=\"34369536\"] \n  9 -> 10 [size =\"34369536\"]\n  9 -> 11 [size =\"34369536\"]\n  10 [size=\"94722560\", alpha=\"0.00\", expect_size=\"37889024\"] \n  10 -> 12 [size =\"37889024\"]\n  10 -> 13 [size =\"37889024\"]\n  11 [size=\"108418560\", alpha=\"0.04\", expect_size=\"43367424\"] \n  11 -> 12 [size =\"43367424\"]\n  11 -> 13 [size =\"43367424\"]\n  12 [size=\"43448320\", alpha=\"0.19\", expect_size=\"17379328\"] \n  12 -> 14 [size =\"17379328\"]\n  13 [size=\"27604480\", alpha=\"0.06\", expect_size=\"11041792\"] \n  13 -> 14 [size =\"11041792\"]\n  14 [size=\"55961600\", alpha=\"0.15\", expect_size=\"22384640\"] \n  14 -> 15 [size =\"22384640\"]\n  14 -> 16 [size =\"22384640\"]\n  15 [size=\"65428480\", alpha=\"0.20\", expect_size=\"26171392\"] \n  15 -> 17 [size =\"26171392\"]\n  15 -> 18 [size =\"26171392\"]\n  16 [size=\"92247040\", alpha=\"0.18\", expect_size=\"36898816\"] \n  16 -> 17 [size =\"36898816\"]\n  17 [size=\"110364160\", alpha=\"0.01\", expect_size=\"44145664\"] \n  17 -> 19 [size =\"44145664\"]\n  18 [size=\"70059520\", alpha=\"0.04\", expect_size=\"28023808\"] \n  18 -> 19 [size =\"28023808\"]\n  18 -> 20 [size =\"28023808\"]\n  19 [size=\"80000000\", alpha=\"0.18\", expect_size=\"32000000\"] \n  19 -> 21 [size =\"32000000\"]\n  20 [size=\"77125120\", alpha=\"0.03\", expect_size=\"30850048\"] \n  21 [size=\"79587840\", alpha=\"0.19\", expect_size=\"31835136\"] \n  21 -> 22 [size =\"31835136\"]\n  21 -> 23 [size =\"31835136\"]\n  22 [size=\"103621120\", alpha=\"0.07\", expect_size=\"41448448\"] \n  22 -> 24 [size =\"41448448\"]\n  23 [size=\"97454080\", alpha=\"0.18\", expect_size=\"38981632\"] \n  24 [size=\"17139200\", alpha=\"0.10\", expect_size=\"6855680\"] \n  24 -> 25 [size =\"6855680\"]\n  25 [size=\"104074240\", alpha=\"0.05\", expect_size=\"41629696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80678400\", alpha=\"0.09\", expect_size=\"32271360\"] \n  1 -> 2 [size =\"32271360\"]\n  2 [size=\"104652800\", alpha=\"0.19\", expect_size=\"41861120\"] \n  2 -> 3 [size =\"41861120\"]\n  3 [size=\"125135360\", alpha=\"0.20\", expect_size=\"50054144\"] \n  3 -> 4 [size =\"50054144\"]\n  4 [size=\"46735360\", alpha=\"0.19\", expect_size=\"18694144\"] \n  4 -> 5 [size =\"18694144\"]\n  5 [size=\"122718720\", alpha=\"0.19\", expect_size=\"49087488\"] \n  5 -> 6 [size =\"49087488\"]\n  6 [size=\"17722880\", alpha=\"0.04\", expect_size=\"7089152\"] \n  6 -> 7 [size =\"7089152\"]\n  7 [size=\"120977920\", alpha=\"0.04\", expect_size=\"48391168\"] \n  7 -> 8 [size =\"48391168\"]\n  8 [size=\"65927680\", alpha=\"0.19\", expect_size=\"26371072\"] \n  8 -> 9 [size =\"26371072\"]\n  9 [size=\"105277440\", alpha=\"0.16\", expect_size=\"42110976\"] \n  9 -> 10 [size =\"42110976\"]\n  10 [size=\"101977600\", alpha=\"0.19\", expect_size=\"40791040\"] \n  10 -> 11 [size =\"40791040\"]\n  11 [size=\"66283520\", alpha=\"0.05\", expect_size=\"26513408\"] \n  11 -> 12 [size =\"26513408\"]\n  12 [size=\"121620480\", alpha=\"0.13\", expect_size=\"48648192\"] \n  12 -> 13 [size =\"48648192\"]\n  13 [size=\"116579840\", alpha=\"0.10\", expect_size=\"46631936\"] \n  13 -> 14 [size =\"46631936\"]\n  14 [size=\"115261440\", alpha=\"0.10\", expect_size=\"46104576\"] \n  14 -> 15 [size =\"46104576\"]\n  15 [size=\"107624960\", alpha=\"0.11\", expect_size=\"43049984\"] \n  15 -> 16 [size =\"43049984\"]\n  16 [size=\"104355840\", alpha=\"0.03\", expect_size=\"41742336\"] \n  16 -> 17 [size =\"41742336\"]\n  17 [size=\"126484480\", alpha=\"0.09\", expect_size=\"50593792\"] \n  17 -> 18 [size =\"50593792\"]\n  18 [size=\"34024960\", alpha=\"0.12\", expect_size=\"13609984\"] \n  18 -> 19 [size =\"13609984\"]\n  19 [size=\"25500160\", alpha=\"0.15\", expect_size=\"10200064\"] \n  19 -> 20 [size =\"10200064\"]\n  20 [size=\"121825280\", alpha=\"0.18\", expect_size=\"48730112\"] \n  20 -> 21 [size =\"48730112\"]\n  21 [size=\"113584640\", alpha=\"0.12\", expect_size=\"45433856\"] \n  21 -> 22 [size =\"45433856\"]\n  22 [size=\"27138560\", alpha=\"0.01\", expect_size=\"10855424\"] \n  22 -> 23 [size =\"10855424\"]\n  23 [size=\"102663680\", alpha=\"0.10\", expect_size=\"41065472\"] \n  23 -> 24 [size =\"41065472\"]\n  24 [size=\"42580480\", alpha=\"0.04\", expect_size=\"17032192\"] \n  24 -> 25 [size =\"17032192\"]\n  25 [size=\"102026240\", alpha=\"0.17\", expect_size=\"40810496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29862400\", alpha=\"0.01\", expect_size=\"11944960\"] \n  1 -> 19 [size =\"11944960\"]\n  1 -> 20 [size =\"11944960\"]\n  1 -> 21 [size =\"11944960\"]\n  1 -> 21 [size =\"11944960\"]\n  1 -> 22 [size =\"11944960\"]\n  2 [size=\"59642880\", alpha=\"0.12\", expect_size=\"23857152\"] \n  2 -> 17 [size =\"23857152\"]\n  2 -> 20 [size =\"23857152\"]\n  2 -> 23 [size =\"23857152\"]\n  3 [size=\"90472960\", alpha=\"0.03\", expect_size=\"36189184\"] \n  3 -> 17 [size =\"36189184\"]\n  3 -> 22 [size =\"36189184\"]\n  3 -> 23 [size =\"36189184\"]\n  4 [size=\"77831680\", alpha=\"0.15\", expect_size=\"31132672\"] \n  4 -> 20 [size =\"31132672\"]\n  4 -> 23 [size =\"31132672\"]\n  4 -> 23 [size =\"31132672\"]\n  5 [size=\"15874560\", alpha=\"0.06\", expect_size=\"6349824\"] \n  5 -> 19 [size =\"6349824\"]\n  5 -> 22 [size =\"6349824\"]\n  5 -> 23 [size =\"6349824\"]\n  6 [size=\"43089920\", alpha=\"0.06\", expect_size=\"17235968\"] \n  6 -> 18 [size =\"17235968\"]\n  6 -> 21 [size =\"17235968\"]\n  6 -> 22 [size =\"17235968\"]\n  7 [size=\"19066880\", alpha=\"0.08\", expect_size=\"7626752\"] \n  7 -> 17 [size =\"7626752\"]\n  7 -> 18 [size =\"7626752\"]\n  7 -> 21 [size =\"7626752\"]\n  7 -> 22 [size =\"7626752\"]\n  8 [size=\"116474880\", alpha=\"0.11\", expect_size=\"46589952\"] \n  8 -> 21 [size =\"46589952\"]\n  8 -> 22 [size =\"46589952\"]\n  9 [size=\"105239040\", alpha=\"0.10\", expect_size=\"42095616\"] \n  9 -> 17 [size =\"42095616\"]\n  9 -> 18 [size =\"42095616\"]\n  9 -> 22 [size =\"42095616\"]\n  9 -> 23 [size =\"42095616\"]\n  10 [size=\"16624640\", alpha=\"0.17\", expect_size=\"6649856\"] \n  10 -> 22 [size =\"6649856\"]\n  10 -> 23 [size =\"6649856\"]\n  11 [size=\"112058880\", alpha=\"0.07\", expect_size=\"44823552\"] \n  11 -> 17 [size =\"44823552\"]\n  11 -> 24 [size =\"44823552\"]\n  12 [size=\"116451840\", alpha=\"0.04\", expect_size=\"46580736\"] \n  12 -> 17 [size =\"46580736\"]\n  12 -> 21 [size =\"46580736\"]\n  12 -> 22 [size =\"46580736\"]\n  12 -> 24 [size =\"46580736\"]\n  12 -> 25 [size =\"46580736\"]\n  13 [size=\"70592000\", alpha=\"0.10\", expect_size=\"28236800\"] \n  13 -> 17 [size =\"28236800\"]\n  13 -> 22 [size =\"28236800\"]\n  13 -> 23 [size =\"28236800\"]\n  14 [size=\"86323200\", alpha=\"0.04\", expect_size=\"34529280\"] \n  14 -> 23 [size =\"34529280\"]\n  15 [size=\"56023040\", alpha=\"0.13\", expect_size=\"22409216\"] \n  15 -> 18 [size =\"22409216\"]\n  15 -> 19 [size =\"22409216\"]\n  15 -> 20 [size =\"22409216\"]\n  15 -> 21 [size =\"22409216\"]\n  15 -> 23 [size =\"22409216\"]\n  16 [size=\"90721280\", alpha=\"0.18\", expect_size=\"36288512\"] \n  16 -> 17 [size =\"36288512\"]\n  16 -> 19 [size =\"36288512\"]\n  16 -> 20 [size =\"36288512\"]\n  16 -> 21 [size =\"36288512\"]\n  17 [size=\"125532160\", alpha=\"0.10\", expect_size=\"50212864\"] \n  18 [size=\"55833600\", alpha=\"0.03\", expect_size=\"22333440\"] \n  19 [size=\"120586240\", alpha=\"0.11\", expect_size=\"48234496\"] \n  20 [size=\"59399680\", alpha=\"0.15\", expect_size=\"23759872\"] \n  21 [size=\"44638720\", alpha=\"0.02\", expect_size=\"17855488\"] \n  22 [size=\"86423040\", alpha=\"0.17\", expect_size=\"34569216\"] \n  23 [size=\"112944640\", alpha=\"0.05\", expect_size=\"45177856\"] \n  24 [size=\"55078400\", alpha=\"0.04\", expect_size=\"22031360\"] \n  25 [size=\"77949440\", alpha=\"0.03\", expect_size=\"31179776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24668160\", alpha=\"0.17\", expect_size=\"7400448\"] \n  1 -> 20 [size =\"7400448\"]\n  2 [size=\"25637547\", alpha=\"0.20\", expect_size=\"7691264\"] \n  2 -> 20 [size =\"7691264\"]\n  2 -> 24 [size =\"7691264\"]\n  2 -> 25 [size =\"7691264\"]\n  3 [size=\"27907413\", alpha=\"0.13\", expect_size=\"8372224\"] \n  4 [size=\"100420267\", alpha=\"0.18\", expect_size=\"30126080\"] \n  4 -> 20 [size =\"30126080\"]\n  4 -> 21 [size =\"30126080\"]\n  4 -> 22 [size =\"30126080\"]\n  5 [size=\"94562987\", alpha=\"0.17\", expect_size=\"28368896\"] \n  5 -> 20 [size =\"28368896\"]\n  5 -> 21 [size =\"28368896\"]\n  6 [size=\"102027947\", alpha=\"0.16\", expect_size=\"30608384\"] \n  7 [size=\"57873067\", alpha=\"0.00\", expect_size=\"17361920\"] \n  7 -> 22 [size =\"17361920\"]\n  7 -> 23 [size =\"17361920\"]\n  8 [size=\"171202560\", alpha=\"0.20\", expect_size=\"51360768\"] \n  8 -> 22 [size =\"51360768\"]\n  9 [size=\"158477653\", alpha=\"0.15\", expect_size=\"47543296\"] \n  9 -> 20 [size =\"47543296\"]\n  9 -> 23 [size =\"47543296\"]\n  9 -> 24 [size =\"47543296\"]\n  10 [size=\"89166507\", alpha=\"0.04\", expect_size=\"26749952\"] \n  10 -> 21 [size =\"26749952\"]\n  10 -> 24 [size =\"26749952\"]\n  10 -> 24 [size =\"26749952\"]\n  10 -> 25 [size =\"26749952\"]\n  11 [size=\"17827840\", alpha=\"0.03\", expect_size=\"5348352\"] \n  11 -> 19 [size =\"5348352\"]\n  11 -> 21 [size =\"5348352\"]\n  11 -> 23 [size =\"5348352\"]\n  12 [size=\"149541547\", alpha=\"0.12\", expect_size=\"44862464\"] \n  12 -> 18 [size =\"44862464\"]\n  12 -> 19 [size =\"44862464\"]\n  12 -> 20 [size =\"44862464\"]\n  12 -> 21 [size =\"44862464\"]\n  13 [size=\"148657493\", alpha=\"0.13\", expect_size=\"44597248\"] \n  13 -> 20 [size =\"44597248\"]\n  14 [size=\"95136427\", alpha=\"0.11\", expect_size=\"28540928\"] \n  15 [size=\"78834347\", alpha=\"0.07\", expect_size=\"23650304\"] \n  15 -> 24 [size =\"23650304\"]\n  16 [size=\"53159253\", alpha=\"0.13\", expect_size=\"15947776\"] \n  16 -> 20 [size =\"15947776\"]\n  16 -> 24 [size =\"15947776\"]\n  17 [size=\"18292053\", alpha=\"0.03\", expect_size=\"5487616\"] \n  17 -> 18 [size =\"5487616\"]\n  17 -> 22 [size =\"5487616\"]\n  18 [size=\"20671147\", alpha=\"0.10\", expect_size=\"6201344\"] \n  19 [size=\"18162347\", alpha=\"0.09\", expect_size=\"5448704\"] \n  20 [size=\"137007787\", alpha=\"0.10\", expect_size=\"41102336\"] \n  21 [size=\"172148053\", alpha=\"0.12\", expect_size=\"51644416\"] \n  22 [size=\"40314880\", alpha=\"0.15\", expect_size=\"12094464\"] \n  23 [size=\"136843947\", alpha=\"0.19\", expect_size=\"41053184\"] \n  24 [size=\"81773227\", alpha=\"0.14\", expect_size=\"24531968\"] \n  25 [size=\"165898240\", alpha=\"0.18\", expect_size=\"49769472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41734827\", alpha=\"0.04\", expect_size=\"12520448\"] \n  1 -> 19 [size =\"12520448\"]\n  1 -> 21 [size =\"12520448\"]\n  1 -> 22 [size =\"12520448\"]\n  1 -> 25 [size =\"12520448\"]\n  2 [size=\"174325760\", alpha=\"0.02\", expect_size=\"52297728\"] \n  2 -> 21 [size =\"52297728\"]\n  2 -> 21 [size =\"52297728\"]\n  2 -> 23 [size =\"52297728\"]\n  3 [size=\"46025387\", alpha=\"0.14\", expect_size=\"13807616\"] \n  3 -> 24 [size =\"13807616\"]\n  3 -> 25 [size =\"13807616\"]\n  4 [size=\"152101547\", alpha=\"0.00\", expect_size=\"45630464\"] \n  5 [size=\"92770987\", alpha=\"0.14\", expect_size=\"27831296\"] \n  5 -> 20 [size =\"27831296\"]\n  6 [size=\"28825600\", alpha=\"0.12\", expect_size=\"8647680\"] \n  7 [size=\"81701547\", alpha=\"0.08\", expect_size=\"24510464\"] \n  7 -> 22 [size =\"24510464\"]\n  8 [size=\"131846827\", alpha=\"0.19\", expect_size=\"39554048\"] \n  8 -> 19 [size =\"39554048\"]\n  8 -> 24 [size =\"39554048\"]\n  9 [size=\"147135147\", alpha=\"0.19\", expect_size=\"44140544\"] \n  9 -> 20 [size =\"44140544\"]\n  9 -> 22 [size =\"44140544\"]\n  9 -> 23 [size =\"44140544\"]\n  9 -> 24 [size =\"44140544\"]\n  9 -> 25 [size =\"44140544\"]\n  10 [size=\"32061440\", alpha=\"0.13\", expect_size=\"9618432\"] \n  10 -> 24 [size =\"9618432\"]\n  11 [size=\"90821973\", alpha=\"0.04\", expect_size=\"27246592\"] \n  11 -> 19 [size =\"27246592\"]\n  11 -> 20 [size =\"27246592\"]\n  11 -> 24 [size =\"27246592\"]\n  12 [size=\"123316907\", alpha=\"0.18\", expect_size=\"36995072\"] \n  12 -> 19 [size =\"36995072\"]\n  12 -> 24 [size =\"36995072\"]\n  12 -> 24 [size =\"36995072\"]\n  13 [size=\"136802987\", alpha=\"0.12\", expect_size=\"41040896\"] \n  13 -> 22 [size =\"41040896\"]\n  14 [size=\"86504107\", alpha=\"0.16\", expect_size=\"25951232\"] \n  14 -> 19 [size =\"25951232\"]\n  14 -> 22 [size =\"25951232\"]\n  14 -> 24 [size =\"25951232\"]\n  14 -> 25 [size =\"25951232\"]\n  15 [size=\"86787413\", alpha=\"0.01\", expect_size=\"26036224\"] \n  15 -> 20 [size =\"26036224\"]\n  15 -> 21 [size =\"26036224\"]\n  15 -> 22 [size =\"26036224\"]\n  16 [size=\"39973547\", alpha=\"0.15\", expect_size=\"11992064\"] \n  16 -> 21 [size =\"11992064\"]\n  16 -> 21 [size =\"11992064\"]\n  16 -> 24 [size =\"11992064\"]\n  16 -> 25 [size =\"11992064\"]\n  17 [size=\"135140693\", alpha=\"0.17\", expect_size=\"40542208\"] \n  17 -> 19 [size =\"40542208\"]\n  17 -> 21 [size =\"40542208\"]\n  17 -> 24 [size =\"40542208\"]\n  18 [size=\"44653227\", alpha=\"0.14\", expect_size=\"13395968\"] \n  18 -> 20 [size =\"13395968\"]\n  18 -> 21 [size =\"13395968\"]\n  18 -> 24 [size =\"13395968\"]\n  19 [size=\"36440747\", alpha=\"0.01\", expect_size=\"10932224\"] \n  20 [size=\"28149760\", alpha=\"0.17\", expect_size=\"8444928\"] \n  21 [size=\"127832747\", alpha=\"0.16\", expect_size=\"38349824\"] \n  22 [size=\"161621333\", alpha=\"0.15\", expect_size=\"48486400\"] \n  23 [size=\"144619520\", alpha=\"0.17\", expect_size=\"43385856\"] \n  24 [size=\"81920000\", alpha=\"0.17\", expect_size=\"24576000\"] \n  25 [size=\"49510400\", alpha=\"0.06\", expect_size=\"14853120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34096640\", alpha=\"0.18\", expect_size=\"13638656\"] \n  1 -> 6 [size =\"13638656\"]\n  1 -> 7 [size =\"13638656\"]\n  2 [size=\"95887360\", alpha=\"0.20\", expect_size=\"38354944\"] \n  2 -> 6 [size =\"38354944\"]\n  2 -> 7 [size =\"38354944\"]\n  2 -> 8 [size =\"38354944\"]\n  3 [size=\"25902080\", alpha=\"0.14\", expect_size=\"10360832\"] \n  3 -> 5 [size =\"10360832\"]\n  3 -> 6 [size =\"10360832\"]\n  3 -> 7 [size =\"10360832\"]\n  4 [size=\"21286400\", alpha=\"0.12\", expect_size=\"8514560\"] \n  4 -> 6 [size =\"8514560\"]\n  4 -> 7 [size =\"8514560\"]\n  4 -> 8 [size =\"8514560\"]\n  5 [size=\"64220160\", alpha=\"0.15\", expect_size=\"25688064\"] \n  5 -> 9 [size =\"25688064\"]\n  5 -> 11 [size =\"25688064\"]\n  6 [size=\"52728320\", alpha=\"0.06\", expect_size=\"21091328\"] \n  6 -> 9 [size =\"21091328\"]\n  6 -> 11 [size =\"21091328\"]\n  7 [size=\"61839360\", alpha=\"0.05\", expect_size=\"24735744\"] \n  7 -> 9 [size =\"24735744\"]\n  7 -> 10 [size =\"24735744\"]\n  7 -> 11 [size =\"24735744\"]\n  8 [size=\"29678080\", alpha=\"0.11\", expect_size=\"11871232\"] \n  8 -> 9 [size =\"11871232\"]\n  8 -> 11 [size =\"11871232\"]\n  9 [size=\"18460160\", alpha=\"0.16\", expect_size=\"7384064\"] \n  9 -> 12 [size =\"7384064\"]\n  9 -> 13 [size =\"7384064\"]\n  10 [size=\"44800000\", alpha=\"0.15\", expect_size=\"17920000\"] \n  10 -> 12 [size =\"17920000\"]\n  10 -> 13 [size =\"17920000\"]\n  11 [size=\"92167680\", alpha=\"0.11\", expect_size=\"36867072\"] \n  11 -> 12 [size =\"36867072\"]\n  11 -> 13 [size =\"36867072\"]\n  11 -> 14 [size =\"36867072\"]\n  12 [size=\"78220800\", alpha=\"0.04\", expect_size=\"31288320\"] \n  12 -> 15 [size =\"31288320\"]\n  12 -> 16 [size =\"31288320\"]\n  12 -> 17 [size =\"31288320\"]\n  13 [size=\"78072320\", alpha=\"0.04\", expect_size=\"31228928\"] \n  13 -> 15 [size =\"31228928\"]\n  13 -> 16 [size =\"31228928\"]\n  13 -> 17 [size =\"31228928\"]\n  13 -> 18 [size =\"31228928\"]\n  14 [size=\"40785920\", alpha=\"0.16\", expect_size=\"16314368\"] \n  14 -> 15 [size =\"16314368\"]\n  14 -> 16 [size =\"16314368\"]\n  14 -> 17 [size =\"16314368\"]\n  15 [size=\"110320640\", alpha=\"0.17\", expect_size=\"44128256\"] \n  15 -> 19 [size =\"44128256\"]\n  15 -> 21 [size =\"44128256\"]\n  15 -> 22 [size =\"44128256\"]\n  16 [size=\"78525440\", alpha=\"0.16\", expect_size=\"31410176\"] \n  16 -> 19 [size =\"31410176\"]\n  16 -> 23 [size =\"31410176\"]\n  17 [size=\"112517120\", alpha=\"0.11\", expect_size=\"45006848\"] \n  17 -> 19 [size =\"45006848\"]\n  17 -> 20 [size =\"45006848\"]\n  17 -> 21 [size =\"45006848\"]\n  17 -> 22 [size =\"45006848\"]\n  18 [size=\"24944640\", alpha=\"0.06\", expect_size=\"9977856\"] \n  18 -> 19 [size =\"9977856\"]\n  18 -> 21 [size =\"9977856\"]\n  18 -> 23 [size =\"9977856\"]\n  19 [size=\"88166400\", alpha=\"0.15\", expect_size=\"35266560\"] \n  19 -> 24 [size =\"35266560\"]\n  19 -> 25 [size =\"35266560\"]\n  20 [size=\"64273920\", alpha=\"0.15\", expect_size=\"25709568\"] \n  21 [size=\"33448960\", alpha=\"0.18\", expect_size=\"13379584\"] \n  22 [size=\"96437760\", alpha=\"0.16\", expect_size=\"38575104\"] \n  22 -> 25 [size =\"38575104\"]\n  23 [size=\"122027520\", alpha=\"0.16\", expect_size=\"48811008\"] \n  23 -> 25 [size =\"48811008\"]\n  24 [size=\"25617920\", alpha=\"0.17\", expect_size=\"10247168\"] \n  25 [size=\"118568960\", alpha=\"0.07\", expect_size=\"47427584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103572480\", alpha=\"0.01\", expect_size=\"41428992\"] \n  1 -> 7 [size =\"41428992\"]\n  2 [size=\"97973760\", alpha=\"0.16\", expect_size=\"39189504\"] \n  2 -> 8 [size =\"39189504\"]\n  3 [size=\"96929280\", alpha=\"0.02\", expect_size=\"38771712\"] \n  3 -> 5 [size =\"38771712\"]\n  3 -> 6 [size =\"38771712\"]\n  4 [size=\"122918400\", alpha=\"0.09\", expect_size=\"49167360\"] \n  4 -> 5 [size =\"49167360\"]\n  4 -> 8 [size =\"49167360\"]\n  5 [size=\"43182080\", alpha=\"0.17\", expect_size=\"17272832\"] \n  5 -> 9 [size =\"17272832\"]\n  5 -> 11 [size =\"17272832\"]\n  6 [size=\"100285440\", alpha=\"0.15\", expect_size=\"40114176\"] \n  7 [size=\"115571200\", alpha=\"0.03\", expect_size=\"46228480\"] \n  7 -> 9 [size =\"46228480\"]\n  8 [size=\"51033600\", alpha=\"0.15\", expect_size=\"20413440\"] \n  8 -> 10 [size =\"20413440\"]\n  8 -> 11 [size =\"20413440\"]\n  9 [size=\"124221440\", alpha=\"0.02\", expect_size=\"49688576\"] \n  9 -> 12 [size =\"49688576\"]\n  9 -> 15 [size =\"49688576\"]\n  10 [size=\"107927040\", alpha=\"0.10\", expect_size=\"43170816\"] \n  10 -> 12 [size =\"43170816\"]\n  11 [size=\"63272960\", alpha=\"0.18\", expect_size=\"25309184\"] \n  11 -> 13 [size =\"25309184\"]\n  11 -> 14 [size =\"25309184\"]\n  11 -> 15 [size =\"25309184\"]\n  12 [size=\"68979200\", alpha=\"0.08\", expect_size=\"27591680\"] \n  12 -> 16 [size =\"27591680\"]\n  12 -> 18 [size =\"27591680\"]\n  13 [size=\"45137920\", alpha=\"0.07\", expect_size=\"18055168\"] \n  13 -> 16 [size =\"18055168\"]\n  14 [size=\"56791040\", alpha=\"0.20\", expect_size=\"22716416\"] \n  14 -> 17 [size =\"22716416\"]\n  14 -> 19 [size =\"22716416\"]\n  15 [size=\"112289280\", alpha=\"0.14\", expect_size=\"44915712\"] \n  15 -> 17 [size =\"44915712\"]\n  16 [size=\"92500480\", alpha=\"0.08\", expect_size=\"37000192\"] \n  16 -> 20 [size =\"37000192\"]\n  16 -> 21 [size =\"37000192\"]\n  17 [size=\"61729280\", alpha=\"0.01\", expect_size=\"24691712\"] \n  17 -> 20 [size =\"24691712\"]\n  17 -> 22 [size =\"24691712\"]\n  18 [size=\"78077440\", alpha=\"0.18\", expect_size=\"31230976\"] \n  18 -> 20 [size =\"31230976\"]\n  18 -> 21 [size =\"31230976\"]\n  18 -> 22 [size =\"31230976\"]\n  19 [size=\"49262080\", alpha=\"0.05\", expect_size=\"19704832\"] \n  20 [size=\"63408640\", alpha=\"0.12\", expect_size=\"25363456\"] \n  20 -> 23 [size =\"25363456\"]\n  21 [size=\"122357760\", alpha=\"0.14\", expect_size=\"48943104\"] \n  21 -> 24 [size =\"48943104\"]\n  21 -> 25 [size =\"48943104\"]\n  22 [size=\"110848000\", alpha=\"0.10\", expect_size=\"44339200\"] \n  22 -> 24 [size =\"44339200\"]\n  23 [size=\"40683520\", alpha=\"0.20\", expect_size=\"16273408\"] \n  24 [size=\"81925120\", alpha=\"0.09\", expect_size=\"32770048\"] \n  25 [size=\"79354880\", alpha=\"0.03\", expect_size=\"31741952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43530240\", alpha=\"0.17\", expect_size=\"21765120\"] \n  1 -> 4 [size =\"21765120\"]\n  2 [size=\"98502656\", alpha=\"0.19\", expect_size=\"49251328\"] \n  2 -> 3 [size =\"49251328\"]\n  2 -> 4 [size =\"49251328\"]\n  3 [size=\"28286976\", alpha=\"0.11\", expect_size=\"14143488\"] \n  3 -> 5 [size =\"14143488\"]\n  4 [size=\"12163072\", alpha=\"0.19\", expect_size=\"6081536\"] \n  4 -> 5 [size =\"6081536\"]\n  5 [size=\"55150592\", alpha=\"0.16\", expect_size=\"27575296\"] \n  5 -> 6 [size =\"27575296\"]\n  6 [size=\"99133440\", alpha=\"0.12\", expect_size=\"49566720\"] \n  6 -> 7 [size =\"49566720\"]\n  6 -> 8 [size =\"49566720\"]\n  7 [size=\"34697216\", alpha=\"0.09\", expect_size=\"17348608\"] \n  7 -> 9 [size =\"17348608\"]\n  8 [size=\"35493888\", alpha=\"0.04\", expect_size=\"17746944\"] \n  8 -> 9 [size =\"17746944\"]\n  9 [size=\"65695744\", alpha=\"0.20\", expect_size=\"32847872\"] \n  9 -> 10 [size =\"32847872\"]\n  10 [size=\"58105856\", alpha=\"0.06\", expect_size=\"29052928\"] \n  10 -> 11 [size =\"29052928\"]\n  10 -> 12 [size =\"29052928\"]\n  11 [size=\"71999488\", alpha=\"0.17\", expect_size=\"35999744\"] \n  11 -> 13 [size =\"35999744\"]\n  12 [size=\"55945216\", alpha=\"0.10\", expect_size=\"27972608\"] \n  12 -> 13 [size =\"27972608\"]\n  13 [size=\"50171904\", alpha=\"0.16\", expect_size=\"25085952\"] \n  13 -> 14 [size =\"25085952\"]\n  14 [size=\"103493632\", alpha=\"0.16\", expect_size=\"51746816\"] \n  14 -> 15 [size =\"51746816\"]\n  14 -> 16 [size =\"51746816\"]\n  15 [size=\"99201024\", alpha=\"0.12\", expect_size=\"49600512\"] \n  16 [size=\"80576512\", alpha=\"0.19\", expect_size=\"40288256\"] \n  16 -> 17 [size =\"40288256\"]\n  17 [size=\"43671552\", alpha=\"0.12\", expect_size=\"21835776\"] \n  17 -> 18 [size =\"21835776\"]\n  18 [size=\"87048192\", alpha=\"0.09\", expect_size=\"43524096\"] \n  18 -> 19 [size =\"43524096\"]\n  18 -> 20 [size =\"43524096\"]\n  19 [size=\"10674176\", alpha=\"0.09\", expect_size=\"5337088\"] \n  19 -> 22 [size =\"5337088\"]\n  20 [size=\"104704000\", alpha=\"0.08\", expect_size=\"52352000\"] \n  20 -> 21 [size =\"52352000\"]\n  21 [size=\"36820992\", alpha=\"0.15\", expect_size=\"18410496\"] \n  22 [size=\"22478848\", alpha=\"0.01\", expect_size=\"11239424\"] \n  22 -> 23 [size =\"11239424\"]\n  23 [size=\"67747840\", alpha=\"0.10\", expect_size=\"33873920\"] \n  23 -> 24 [size =\"33873920\"]\n  24 [size=\"48113664\", alpha=\"0.19\", expect_size=\"24056832\"] \n  24 -> 25 [size =\"24056832\"]\n  25 [size=\"27480064\", alpha=\"0.18\", expect_size=\"13740032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64305152\", alpha=\"0.01\", expect_size=\"32152576\"] \n  1 -> 15 [size =\"32152576\"]\n  1 -> 17 [size =\"32152576\"]\n  1 -> 18 [size =\"32152576\"]\n  1 -> 25 [size =\"32152576\"]\n  2 [size=\"38793216\", alpha=\"0.04\", expect_size=\"19396608\"] \n  2 -> 20 [size =\"19396608\"]\n  2 -> 21 [size =\"19396608\"]\n  2 -> 23 [size =\"19396608\"]\n  2 -> 24 [size =\"19396608\"]\n  2 -> 25 [size =\"19396608\"]\n  3 [size=\"30441472\", alpha=\"0.02\", expect_size=\"15220736\"] \n  3 -> 25 [size =\"15220736\"]\n  4 [size=\"89751552\", alpha=\"0.11\", expect_size=\"44875776\"] \n  4 -> 25 [size =\"44875776\"]\n  5 [size=\"53997568\", alpha=\"0.14\", expect_size=\"26998784\"] \n  5 -> 19 [size =\"26998784\"]\n  5 -> 20 [size =\"26998784\"]\n  5 -> 23 [size =\"26998784\"]\n  6 [size=\"89645056\", alpha=\"0.02\", expect_size=\"44822528\"] \n  6 -> 23 [size =\"44822528\"]\n  6 -> 24 [size =\"44822528\"]\n  7 [size=\"63985664\", alpha=\"0.08\", expect_size=\"31992832\"] \n  7 -> 19 [size =\"31992832\"]\n  7 -> 20 [size =\"31992832\"]\n  7 -> 24 [size =\"31992832\"]\n  8 [size=\"79753216\", alpha=\"0.06\", expect_size=\"39876608\"] \n  8 -> 25 [size =\"39876608\"]\n  9 [size=\"36464640\", alpha=\"0.02\", expect_size=\"18232320\"] \n  9 -> 19 [size =\"18232320\"]\n  9 -> 20 [size =\"18232320\"]\n  9 -> 22 [size =\"18232320\"]\n  9 -> 23 [size =\"18232320\"]\n  9 -> 24 [size =\"18232320\"]\n  10 [size=\"20948992\", alpha=\"0.04\", expect_size=\"10474496\"] \n  10 -> 15 [size =\"10474496\"]\n  11 [size=\"13899776\", alpha=\"0.11\", expect_size=\"6949888\"] \n  11 -> 23 [size =\"6949888\"]\n  12 [size=\"16936960\", alpha=\"0.10\", expect_size=\"8468480\"] \n  12 -> 20 [size =\"8468480\"]\n  12 -> 23 [size =\"8468480\"]\n  12 -> 25 [size =\"8468480\"]\n  13 [size=\"37888000\", alpha=\"0.18\", expect_size=\"18944000\"] \n  13 -> 18 [size =\"18944000\"]\n  13 -> 19 [size =\"18944000\"]\n  13 -> 23 [size =\"18944000\"]\n  14 [size=\"45682688\", alpha=\"0.01\", expect_size=\"22841344\"] \n  14 -> 16 [size =\"22841344\"]\n  14 -> 22 [size =\"22841344\"]\n  15 [size=\"96747520\", alpha=\"0.14\", expect_size=\"48373760\"] \n  16 [size=\"68993024\", alpha=\"0.12\", expect_size=\"34496512\"] \n  17 [size=\"79306752\", alpha=\"0.18\", expect_size=\"39653376\"] \n  18 [size=\"22173696\", alpha=\"0.20\", expect_size=\"11086848\"] \n  19 [size=\"50644992\", alpha=\"0.12\", expect_size=\"25322496\"] \n  20 [size=\"58136576\", alpha=\"0.12\", expect_size=\"29068288\"] \n  21 [size=\"79292416\", alpha=\"0.04\", expect_size=\"39646208\"] \n  22 [size=\"35143680\", alpha=\"0.02\", expect_size=\"17571840\"] \n  23 [size=\"81483776\", alpha=\"0.04\", expect_size=\"40741888\"] \n  24 [size=\"74000384\", alpha=\"0.03\", expect_size=\"37000192\"] \n  25 [size=\"80965632\", alpha=\"0.12\", expect_size=\"40482816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21696000\", alpha=\"0.03\", expect_size=\"8678400\"] \n  2 [size=\"43850240\", alpha=\"0.19\", expect_size=\"17540096\"] \n  2 -> 20 [size =\"17540096\"]\n  2 -> 24 [size =\"17540096\"]\n  3 [size=\"27440640\", alpha=\"0.15\", expect_size=\"10976256\"] \n  3 -> 20 [size =\"10976256\"]\n  4 [size=\"89344000\", alpha=\"0.08\", expect_size=\"35737600\"] \n  4 -> 20 [size =\"35737600\"]\n  4 -> 21 [size =\"35737600\"]\n  4 -> 22 [size =\"35737600\"]\n  4 -> 25 [size =\"35737600\"]\n  5 [size=\"119938560\", alpha=\"0.03\", expect_size=\"47975424\"] \n  5 -> 20 [size =\"47975424\"]\n  6 [size=\"93204480\", alpha=\"0.18\", expect_size=\"37281792\"] \n  6 -> 20 [size =\"37281792\"]\n  6 -> 22 [size =\"37281792\"]\n  6 -> 23 [size =\"37281792\"]\n  7 [size=\"69521920\", alpha=\"0.01\", expect_size=\"27808768\"] \n  7 -> 22 [size =\"27808768\"]\n  7 -> 23 [size =\"27808768\"]\n  7 -> 25 [size =\"27808768\"]\n  8 [size=\"93918720\", alpha=\"0.05\", expect_size=\"37567488\"] \n  8 -> 22 [size =\"37567488\"]\n  9 [size=\"70781440\", alpha=\"0.03\", expect_size=\"28312576\"] \n  10 [size=\"82329600\", alpha=\"0.14\", expect_size=\"32931840\"] \n  10 -> 22 [size =\"32931840\"]\n  10 -> 23 [size =\"32931840\"]\n  11 [size=\"102909440\", alpha=\"0.07\", expect_size=\"41163776\"] \n  11 -> 19 [size =\"41163776\"]\n  11 -> 20 [size =\"41163776\"]\n  11 -> 25 [size =\"41163776\"]\n  12 [size=\"123481600\", alpha=\"0.08\", expect_size=\"49392640\"] \n  12 -> 25 [size =\"49392640\"]\n  13 [size=\"116474880\", alpha=\"0.16\", expect_size=\"46589952\"] \n  13 -> 22 [size =\"46589952\"]\n  14 [size=\"86942720\", alpha=\"0.14\", expect_size=\"34777088\"] \n  14 -> 22 [size =\"34777088\"]\n  15 [size=\"17177600\", alpha=\"0.13\", expect_size=\"6871040\"] \n  16 [size=\"34470400\", alpha=\"0.07\", expect_size=\"13788160\"] \n  17 [size=\"21465600\", alpha=\"0.08\", expect_size=\"8586240\"] \n  17 -> 23 [size =\"8586240\"]\n  18 [size=\"25666560\", alpha=\"0.11\", expect_size=\"10266624\"] \n  18 -> 22 [size =\"10266624\"]\n  18 -> 25 [size =\"10266624\"]\n  19 [size=\"57377280\", alpha=\"0.20\", expect_size=\"22950912\"] \n  20 [size=\"77655040\", alpha=\"0.14\", expect_size=\"31062016\"] \n  21 [size=\"44945920\", alpha=\"0.09\", expect_size=\"17978368\"] \n  22 [size=\"87592960\", alpha=\"0.10\", expect_size=\"35037184\"] \n  23 [size=\"19543040\", alpha=\"0.14\", expect_size=\"7817216\"] \n  24 [size=\"114603520\", alpha=\"0.10\", expect_size=\"45841408\"] \n  25 [size=\"79697920\", alpha=\"0.04\", expect_size=\"31879168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133242880\", alpha=\"0.06\", expect_size=\"39972864\"] \n  1 -> 2 [size =\"39972864\"]\n  2 [size=\"153862827\", alpha=\"0.19\", expect_size=\"46158848\"] \n  2 -> 3 [size =\"46158848\"]\n  3 [size=\"38942720\", alpha=\"0.13\", expect_size=\"11682816\"] \n  3 -> 4 [size =\"11682816\"]\n  4 [size=\"83176107\", alpha=\"0.07\", expect_size=\"24952832\"] \n  4 -> 5 [size =\"24952832\"]\n  5 [size=\"128218453\", alpha=\"0.02\", expect_size=\"38465536\"] \n  5 -> 6 [size =\"38465536\"]\n  6 [size=\"58289493\", alpha=\"0.11\", expect_size=\"17486848\"] \n  6 -> 7 [size =\"17486848\"]\n  7 [size=\"90535253\", alpha=\"0.19\", expect_size=\"27160576\"] \n  7 -> 8 [size =\"27160576\"]\n  8 [size=\"67938987\", alpha=\"0.03\", expect_size=\"20381696\"] \n  8 -> 9 [size =\"20381696\"]\n  9 [size=\"88436053\", alpha=\"0.16\", expect_size=\"26530816\"] \n  9 -> 10 [size =\"26530816\"]\n  10 [size=\"34819413\", alpha=\"0.05\", expect_size=\"10445824\"] \n  10 -> 11 [size =\"10445824\"]\n  11 [size=\"132225707\", alpha=\"0.03\", expect_size=\"39667712\"] \n  11 -> 12 [size =\"39667712\"]\n  12 [size=\"24548693\", alpha=\"0.08\", expect_size=\"7364608\"] \n  12 -> 13 [size =\"7364608\"]\n  13 [size=\"17793707\", alpha=\"0.13\", expect_size=\"5338112\"] \n  13 -> 14 [size =\"5338112\"]\n  14 [size=\"118213973\", alpha=\"0.18\", expect_size=\"35464192\"] \n  14 -> 15 [size =\"35464192\"]\n  15 [size=\"172431360\", alpha=\"0.04\", expect_size=\"51729408\"] \n  15 -> 16 [size =\"51729408\"]\n  16 [size=\"28043947\", alpha=\"0.16\", expect_size=\"8413184\"] \n  16 -> 17 [size =\"8413184\"]\n  17 [size=\"115780267\", alpha=\"0.08\", expect_size=\"34734080\"] \n  17 -> 18 [size =\"34734080\"]\n  18 [size=\"108465493\", alpha=\"0.10\", expect_size=\"32539648\"] \n  18 -> 19 [size =\"32539648\"]\n  19 [size=\"135079253\", alpha=\"0.07\", expect_size=\"40523776\"] \n  19 -> 20 [size =\"40523776\"]\n  20 [size=\"103905280\", alpha=\"0.03\", expect_size=\"31171584\"] \n  20 -> 21 [size =\"31171584\"]\n  21 [size=\"141728427\", alpha=\"0.13\", expect_size=\"42518528\"] \n  21 -> 22 [size =\"42518528\"]\n  22 [size=\"167253333\", alpha=\"0.01\", expect_size=\"50176000\"] \n  22 -> 23 [size =\"50176000\"]\n  23 [size=\"71686827\", alpha=\"0.12\", expect_size=\"21506048\"] \n  23 -> 24 [size =\"21506048\"]\n  24 [size=\"170113707\", alpha=\"0.11\", expect_size=\"51034112\"] \n  24 -> 25 [size =\"51034112\"]\n  25 [size=\"155105280\", alpha=\"0.03\", expect_size=\"46531584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46740480\", alpha=\"0.08\", expect_size=\"18696192\"] \n  1 -> 21 [size =\"18696192\"]\n  1 -> 24 [size =\"18696192\"]\n  2 [size=\"30325760\", alpha=\"0.12\", expect_size=\"12130304\"] \n  2 -> 21 [size =\"12130304\"]\n  2 -> 23 [size =\"12130304\"]\n  2 -> 25 [size =\"12130304\"]\n  3 [size=\"53918720\", alpha=\"0.16\", expect_size=\"21567488\"] \n  3 -> 18 [size =\"21567488\"]\n  3 -> 20 [size =\"21567488\"]\n  3 -> 23 [size =\"21567488\"]\n  4 [size=\"48122880\", alpha=\"0.02\", expect_size=\"19249152\"] \n  4 -> 23 [size =\"19249152\"]\n  5 [size=\"57410560\", alpha=\"0.17\", expect_size=\"22964224\"] \n  5 -> 23 [size =\"22964224\"]\n  5 -> 25 [size =\"22964224\"]\n  6 [size=\"41441280\", alpha=\"0.01\", expect_size=\"16576512\"] \n  6 -> 21 [size =\"16576512\"]\n  6 -> 22 [size =\"16576512\"]\n  7 [size=\"45250560\", alpha=\"0.07\", expect_size=\"18100224\"] \n  7 -> 22 [size =\"18100224\"]\n  7 -> 23 [size =\"18100224\"]\n  8 [size=\"92741120\", alpha=\"0.04\", expect_size=\"37096448\"] \n  8 -> 24 [size =\"37096448\"]\n  9 [size=\"52541440\", alpha=\"0.01\", expect_size=\"21016576\"] \n  9 -> 20 [size =\"21016576\"]\n  9 -> 23 [size =\"21016576\"]\n  10 [size=\"54318080\", alpha=\"0.11\", expect_size=\"21727232\"] \n  11 [size=\"33986560\", alpha=\"0.19\", expect_size=\"13594624\"] \n  11 -> 18 [size =\"13594624\"]\n  11 -> 22 [size =\"13594624\"]\n  12 [size=\"82524160\", alpha=\"0.19\", expect_size=\"33009664\"] \n  12 -> 18 [size =\"33009664\"]\n  12 -> 20 [size =\"33009664\"]\n  12 -> 23 [size =\"33009664\"]\n  12 -> 24 [size =\"33009664\"]\n  13 [size=\"37900800\", alpha=\"0.14\", expect_size=\"15160320\"] \n  14 [size=\"130931200\", alpha=\"0.04\", expect_size=\"52372480\"] \n  14 -> 19 [size =\"52372480\"]\n  14 -> 21 [size =\"52372480\"]\n  14 -> 22 [size =\"52372480\"]\n  15 [size=\"26754560\", alpha=\"0.19\", expect_size=\"10701824\"] \n  15 -> 18 [size =\"10701824\"]\n  15 -> 21 [size =\"10701824\"]\n  15 -> 25 [size =\"10701824\"]\n  16 [size=\"129896960\", alpha=\"0.19\", expect_size=\"51958784\"] \n  16 -> 18 [size =\"51958784\"]\n  16 -> 21 [size =\"51958784\"]\n  16 -> 22 [size =\"51958784\"]\n  16 -> 23 [size =\"51958784\"]\n  16 -> 25 [size =\"51958784\"]\n  17 [size=\"16494080\", alpha=\"0.05\", expect_size=\"6597632\"] \n  17 -> 18 [size =\"6597632\"]\n  17 -> 20 [size =\"6597632\"]\n  17 -> 21 [size =\"6597632\"]\n  17 -> 22 [size =\"6597632\"]\n  17 -> 23 [size =\"6597632\"]\n  17 -> 25 [size =\"6597632\"]\n  18 [size=\"57625600\", alpha=\"0.16\", expect_size=\"23050240\"] \n  19 [size=\"79818240\", alpha=\"0.10\", expect_size=\"31927296\"] \n  20 [size=\"85068800\", alpha=\"0.14\", expect_size=\"34027520\"] \n  21 [size=\"29532160\", alpha=\"0.03\", expect_size=\"11812864\"] \n  22 [size=\"23516160\", alpha=\"0.15\", expect_size=\"9406464\"] \n  23 [size=\"18257920\", alpha=\"0.14\", expect_size=\"7303168\"] \n  24 [size=\"98216960\", alpha=\"0.20\", expect_size=\"39286784\"] \n  25 [size=\"119772160\", alpha=\"0.12\", expect_size=\"47908864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36651520\", alpha=\"0.06\", expect_size=\"14660608\"] \n  2 [size=\"120345600\", alpha=\"0.19\", expect_size=\"48138240\"] \n  2 -> 3 [size =\"48138240\"]\n  3 [size=\"58321920\", alpha=\"0.19\", expect_size=\"23328768\"] \n  3 -> 4 [size =\"23328768\"]\n  3 -> 5 [size =\"23328768\"]\n  4 [size=\"18603520\", alpha=\"0.05\", expect_size=\"7441408\"] \n  4 -> 6 [size =\"7441408\"]\n  5 [size=\"84856320\", alpha=\"0.20\", expect_size=\"33942528\"] \n  5 -> 6 [size =\"33942528\"]\n  6 [size=\"64330240\", alpha=\"0.03\", expect_size=\"25732096\"] \n  6 -> 7 [size =\"25732096\"]\n  6 -> 8 [size =\"25732096\"]\n  7 [size=\"51901440\", alpha=\"0.19\", expect_size=\"20760576\"] \n  7 -> 9 [size =\"20760576\"]\n  8 [size=\"62840320\", alpha=\"0.03\", expect_size=\"25136128\"] \n  8 -> 9 [size =\"25136128\"]\n  9 [size=\"58490880\", alpha=\"0.20\", expect_size=\"23396352\"] \n  9 -> 10 [size =\"23396352\"]\n  9 -> 11 [size =\"23396352\"]\n  10 [size=\"14622720\", alpha=\"0.14\", expect_size=\"5849088\"] \n  10 -> 12 [size =\"5849088\"]\n  11 [size=\"116997120\", alpha=\"0.09\", expect_size=\"46798848\"] \n  11 -> 12 [size =\"46798848\"]\n  12 [size=\"32023040\", alpha=\"0.17\", expect_size=\"12809216\"] \n  12 -> 13 [size =\"12809216\"]\n  12 -> 14 [size =\"12809216\"]\n  13 [size=\"23805440\", alpha=\"0.02\", expect_size=\"9522176\"] \n  13 -> 15 [size =\"9522176\"]\n  14 [size=\"15915520\", alpha=\"0.05\", expect_size=\"6366208\"] \n  14 -> 15 [size =\"6366208\"]\n  14 -> 16 [size =\"6366208\"]\n  15 [size=\"48092160\", alpha=\"0.10\", expect_size=\"19236864\"] \n  15 -> 18 [size =\"19236864\"]\n  16 [size=\"48051200\", alpha=\"0.09\", expect_size=\"19220480\"] \n  16 -> 17 [size =\"19220480\"]\n  16 -> 18 [size =\"19220480\"]\n  17 [size=\"66675200\", alpha=\"0.10\", expect_size=\"26670080\"] \n  17 -> 19 [size =\"26670080\"]\n  17 -> 20 [size =\"26670080\"]\n  18 [size=\"59896320\", alpha=\"0.05\", expect_size=\"23958528\"] \n  18 -> 19 [size =\"23958528\"]\n  19 [size=\"78819840\", alpha=\"0.17\", expect_size=\"31527936\"] \n  19 -> 21 [size =\"31527936\"]\n  20 [size=\"75888640\", alpha=\"0.17\", expect_size=\"30355456\"] \n  20 -> 21 [size =\"30355456\"]\n  21 [size=\"40975360\", alpha=\"0.20\", expect_size=\"16390144\"] \n  21 -> 22 [size =\"16390144\"]\n  21 -> 23 [size =\"16390144\"]\n  22 [size=\"94243840\", alpha=\"0.01\", expect_size=\"37697536\"] \n  22 -> 24 [size =\"37697536\"]\n  22 -> 25 [size =\"37697536\"]\n  23 [size=\"73671680\", alpha=\"0.10\", expect_size=\"29468672\"] \n  23 -> 25 [size =\"29468672\"]\n  24 [size=\"84723200\", alpha=\"0.00\", expect_size=\"33889280\"] \n  25 [size=\"114995200\", alpha=\"0.03\", expect_size=\"45998080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128081920\", alpha=\"0.11\", expect_size=\"38424576\"] \n  1 -> 10 [size =\"38424576\"]\n  1 -> 12 [size =\"38424576\"]\n  1 -> 15 [size =\"38424576\"]\n  2 [size=\"167516160\", alpha=\"0.11\", expect_size=\"50254848\"] \n  2 -> 9 [size =\"50254848\"]\n  3 [size=\"27695787\", alpha=\"0.09\", expect_size=\"8308736\"] \n  3 -> 11 [size =\"8308736\"]\n  3 -> 13 [size =\"8308736\"]\n  4 [size=\"114135040\", alpha=\"0.07\", expect_size=\"34240512\"] \n  4 -> 9 [size =\"34240512\"]\n  4 -> 13 [size =\"34240512\"]\n  4 -> 17 [size =\"34240512\"]\n  5 [size=\"114350080\", alpha=\"0.16\", expect_size=\"34305024\"] \n  5 -> 10 [size =\"34305024\"]\n  5 -> 14 [size =\"34305024\"]\n  5 -> 16 [size =\"34305024\"]\n  6 [size=\"141998080\", alpha=\"0.01\", expect_size=\"42599424\"] \n  6 -> 9 [size =\"42599424\"]\n  6 -> 10 [size =\"42599424\"]\n  6 -> 12 [size =\"42599424\"]\n  6 -> 15 [size =\"42599424\"]\n  7 [size=\"172687360\", alpha=\"0.03\", expect_size=\"51806208\"] \n  8 [size=\"174663680\", alpha=\"0.04\", expect_size=\"52399104\"] \n  8 -> 9 [size =\"52399104\"]\n  8 -> 12 [size =\"52399104\"]\n  8 -> 13 [size =\"52399104\"]\n  8 -> 14 [size =\"52399104\"]\n  8 -> 15 [size =\"52399104\"]\n  9 [size=\"173339307\", alpha=\"0.12\", expect_size=\"52001792\"] \n  9 -> 18 [size =\"52001792\"]\n  9 -> 19 [size =\"52001792\"]\n  9 -> 21 [size =\"52001792\"]\n  9 -> 23 [size =\"52001792\"]\n  9 -> 25 [size =\"52001792\"]\n  10 [size=\"120606720\", alpha=\"0.12\", expect_size=\"36182016\"] \n  10 -> 21 [size =\"36182016\"]\n  11 [size=\"120139093\", alpha=\"0.05\", expect_size=\"36041728\"] \n  11 -> 18 [size =\"36041728\"]\n  11 -> 19 [size =\"36041728\"]\n  11 -> 25 [size =\"36041728\"]\n  12 [size=\"46349653\", alpha=\"0.11\", expect_size=\"13904896\"] \n  12 -> 22 [size =\"13904896\"]\n  12 -> 23 [size =\"13904896\"]\n  12 -> 24 [size =\"13904896\"]\n  13 [size=\"135983787\", alpha=\"0.18\", expect_size=\"40795136\"] \n  13 -> 23 [size =\"40795136\"]\n  14 [size=\"48984747\", alpha=\"0.04\", expect_size=\"14695424\"] \n  14 -> 18 [size =\"14695424\"]\n  14 -> 24 [size =\"14695424\"]\n  15 [size=\"103256747\", alpha=\"0.06\", expect_size=\"30977024\"] \n  15 -> 19 [size =\"30977024\"]\n  15 -> 21 [size =\"30977024\"]\n  15 -> 23 [size =\"30977024\"]\n  16 [size=\"71980373\", alpha=\"0.10\", expect_size=\"21594112\"] \n  16 -> 18 [size =\"21594112\"]\n  16 -> 20 [size =\"21594112\"]\n  16 -> 22 [size =\"21594112\"]\n  16 -> 23 [size =\"21594112\"]\n  16 -> 25 [size =\"21594112\"]\n  17 [size=\"82493440\", alpha=\"0.04\", expect_size=\"24748032\"] \n  17 -> 21 [size =\"24748032\"]\n  18 [size=\"108571307\", alpha=\"0.06\", expect_size=\"32571392\"] \n  19 [size=\"137079467\", alpha=\"0.15\", expect_size=\"41123840\"] \n  20 [size=\"76472320\", alpha=\"0.12\", expect_size=\"22941696\"] \n  21 [size=\"170403840\", alpha=\"0.03\", expect_size=\"51121152\"] \n  22 [size=\"52121600\", alpha=\"0.13\", expect_size=\"15636480\"] \n  23 [size=\"139223040\", alpha=\"0.04\", expect_size=\"41766912\"] \n  24 [size=\"121159680\", alpha=\"0.08\", expect_size=\"36347904\"] \n  25 [size=\"154992640\", alpha=\"0.04\", expect_size=\"46497792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24808960\", alpha=\"0.10\", expect_size=\"9923584\"] \n  1 -> 16 [size =\"9923584\"]\n  1 -> 18 [size =\"9923584\"]\n  1 -> 19 [size =\"9923584\"]\n  1 -> 21 [size =\"9923584\"]\n  1 -> 24 [size =\"9923584\"]\n  2 [size=\"127406080\", alpha=\"0.18\", expect_size=\"50962432\"] \n  2 -> 17 [size =\"50962432\"]\n  2 -> 19 [size =\"50962432\"]\n  3 [size=\"92943360\", alpha=\"0.07\", expect_size=\"37177344\"] \n  3 -> 17 [size =\"37177344\"]\n  3 -> 18 [size =\"37177344\"]\n  3 -> 21 [size =\"37177344\"]\n  4 [size=\"44480000\", alpha=\"0.19\", expect_size=\"17792000\"] \n  4 -> 19 [size =\"17792000\"]\n  4 -> 21 [size =\"17792000\"]\n  5 [size=\"110167040\", alpha=\"0.19\", expect_size=\"44066816\"] \n  5 -> 21 [size =\"44066816\"]\n  5 -> 25 [size =\"44066816\"]\n  6 [size=\"110220800\", alpha=\"0.00\", expect_size=\"44088320\"] \n  6 -> 16 [size =\"44088320\"]\n  6 -> 17 [size =\"44088320\"]\n  6 -> 18 [size =\"44088320\"]\n  6 -> 20 [size =\"44088320\"]\n  6 -> 24 [size =\"44088320\"]\n  6 -> 25 [size =\"44088320\"]\n  7 [size=\"96143360\", alpha=\"0.01\", expect_size=\"38457344\"] \n  7 -> 16 [size =\"38457344\"]\n  7 -> 17 [size =\"38457344\"]\n  7 -> 18 [size =\"38457344\"]\n  7 -> 20 [size =\"38457344\"]\n  7 -> 24 [size =\"38457344\"]\n  8 [size=\"60154880\", alpha=\"0.11\", expect_size=\"24061952\"] \n  8 -> 17 [size =\"24061952\"]\n  8 -> 18 [size =\"24061952\"]\n  8 -> 20 [size =\"24061952\"]\n  9 [size=\"23677440\", alpha=\"0.12\", expect_size=\"9470976\"] \n  9 -> 20 [size =\"9470976\"]\n  9 -> 23 [size =\"9470976\"]\n  10 [size=\"99066880\", alpha=\"0.15\", expect_size=\"39626752\"] \n  10 -> 15 [size =\"39626752\"]\n  10 -> 16 [size =\"39626752\"]\n  10 -> 17 [size =\"39626752\"]\n  10 -> 20 [size =\"39626752\"]\n  10 -> 22 [size =\"39626752\"]\n  10 -> 23 [size =\"39626752\"]\n  11 [size=\"76124160\", alpha=\"0.01\", expect_size=\"30449664\"] \n  11 -> 15 [size =\"30449664\"]\n  11 -> 16 [size =\"30449664\"]\n  11 -> 19 [size =\"30449664\"]\n  11 -> 20 [size =\"30449664\"]\n  11 -> 23 [size =\"30449664\"]\n  12 [size=\"18890240\", alpha=\"0.05\", expect_size=\"7556096\"] \n  12 -> 17 [size =\"7556096\"]\n  12 -> 18 [size =\"7556096\"]\n  12 -> 19 [size =\"7556096\"]\n  12 -> 20 [size =\"7556096\"]\n  12 -> 24 [size =\"7556096\"]\n  13 [size=\"123970560\", alpha=\"0.19\", expect_size=\"49588224\"] \n  13 -> 18 [size =\"49588224\"]\n  13 -> 20 [size =\"49588224\"]\n  13 -> 24 [size =\"49588224\"]\n  14 [size=\"46581760\", alpha=\"0.07\", expect_size=\"18632704\"] \n  14 -> 16 [size =\"18632704\"]\n  14 -> 21 [size =\"18632704\"]\n  14 -> 24 [size =\"18632704\"]\n  15 [size=\"37800960\", alpha=\"0.18\", expect_size=\"15120384\"] \n  16 [size=\"33249280\", alpha=\"0.01\", expect_size=\"13299712\"] \n  17 [size=\"33999360\", alpha=\"0.03\", expect_size=\"13599744\"] \n  18 [size=\"41218560\", alpha=\"0.12\", expect_size=\"16487424\"] \n  19 [size=\"107079680\", alpha=\"0.19\", expect_size=\"42831872\"] \n  20 [size=\"58992640\", alpha=\"0.06\", expect_size=\"23597056\"] \n  21 [size=\"26560000\", alpha=\"0.15\", expect_size=\"10624000\"] \n  22 [size=\"33955840\", alpha=\"0.04\", expect_size=\"13582336\"] \n  23 [size=\"61304320\", alpha=\"0.06\", expect_size=\"24521728\"] \n  24 [size=\"56371200\", alpha=\"0.14\", expect_size=\"22548480\"] \n  25 [size=\"99548160\", alpha=\"0.18\", expect_size=\"39819264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96496640\", alpha=\"0.08\", expect_size=\"38598656\"] \n  2 [size=\"120852480\", alpha=\"0.20\", expect_size=\"48340992\"] \n  2 -> 25 [size =\"48340992\"]\n  3 [size=\"47436800\", alpha=\"0.07\", expect_size=\"18974720\"] \n  3 -> 25 [size =\"18974720\"]\n  4 [size=\"24151040\", alpha=\"0.01\", expect_size=\"9660416\"] \n  5 [size=\"49753600\", alpha=\"0.07\", expect_size=\"19901440\"] \n  6 [size=\"55278080\", alpha=\"0.07\", expect_size=\"22111232\"] \n  7 [size=\"114050560\", alpha=\"0.20\", expect_size=\"45620224\"] \n  7 -> 25 [size =\"45620224\"]\n  8 [size=\"89774080\", alpha=\"0.11\", expect_size=\"35909632\"] \n  9 [size=\"15503360\", alpha=\"0.06\", expect_size=\"6201344\"] \n  10 [size=\"115793920\", alpha=\"0.03\", expect_size=\"46317568\"] \n  11 [size=\"72791040\", alpha=\"0.13\", expect_size=\"29116416\"] \n  12 [size=\"118528000\", alpha=\"0.01\", expect_size=\"47411200\"] \n  13 [size=\"116986880\", alpha=\"0.09\", expect_size=\"46794752\"] \n  14 [size=\"42739200\", alpha=\"0.13\", expect_size=\"17095680\"] \n  15 [size=\"47306240\", alpha=\"0.12\", expect_size=\"18922496\"] \n  16 [size=\"87009280\", alpha=\"0.14\", expect_size=\"34803712\"] \n  17 [size=\"127680000\", alpha=\"0.18\", expect_size=\"51072000\"] \n  18 [size=\"125898240\", alpha=\"0.16\", expect_size=\"50359296\"] \n  19 [size=\"71505920\", alpha=\"0.12\", expect_size=\"28602368\"] \n  20 [size=\"107366400\", alpha=\"0.04\", expect_size=\"42946560\"] \n  21 [size=\"126097920\", alpha=\"0.10\", expect_size=\"50439168\"] \n  22 [size=\"83960320\", alpha=\"0.15\", expect_size=\"33584128\"] \n  23 [size=\"88808960\", alpha=\"0.06\", expect_size=\"35523584\"] \n  24 [size=\"23334400\", alpha=\"0.18\", expect_size=\"9333760\"] \n  25 [size=\"101757440\", alpha=\"0.17\", expect_size=\"40702976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81103360\", alpha=\"0.11\", expect_size=\"32441344\"] \n  1 -> 5 [size =\"32441344\"]\n  1 -> 7 [size =\"32441344\"]\n  1 -> 8 [size =\"32441344\"]\n  2 [size=\"117931520\", alpha=\"0.10\", expect_size=\"47172608\"] \n  2 -> 7 [size =\"47172608\"]\n  2 -> 7 [size =\"47172608\"]\n  2 -> 8 [size =\"47172608\"]\n  3 [size=\"88716800\", alpha=\"0.07\", expect_size=\"35486720\"] \n  3 -> 5 [size =\"35486720\"]\n  4 [size=\"36464640\", alpha=\"0.19\", expect_size=\"14585856\"] \n  4 -> 5 [size =\"14585856\"]\n  4 -> 6 [size =\"14585856\"]\n  5 [size=\"32704000\", alpha=\"0.06\", expect_size=\"13081600\"] \n  5 -> 9 [size =\"13081600\"]\n  5 -> 10 [size =\"13081600\"]\n  6 [size=\"58828800\", alpha=\"0.08\", expect_size=\"23531520\"] \n  6 -> 9 [size =\"23531520\"]\n  7 [size=\"130352640\", alpha=\"0.03\", expect_size=\"52141056\"] \n  7 -> 9 [size =\"52141056\"]\n  7 -> 11 [size =\"52141056\"]\n  8 [size=\"129264640\", alpha=\"0.17\", expect_size=\"51705856\"] \n  8 -> 11 [size =\"51705856\"]\n  9 [size=\"78620160\", alpha=\"0.03\", expect_size=\"31448064\"] \n  9 -> 12 [size =\"31448064\"]\n  9 -> 14 [size =\"31448064\"]\n  9 -> 15 [size =\"31448064\"]\n  10 [size=\"34188800\", alpha=\"0.10\", expect_size=\"13675520\"] \n  10 -> 13 [size =\"13675520\"]\n  11 [size=\"107269120\", alpha=\"0.19\", expect_size=\"42907648\"] \n  11 -> 13 [size =\"42907648\"]\n  11 -> 14 [size =\"42907648\"]\n  11 -> 15 [size =\"42907648\"]\n  12 [size=\"56829440\", alpha=\"0.17\", expect_size=\"22731776\"] \n  12 -> 16 [size =\"22731776\"]\n  13 [size=\"118387200\", alpha=\"0.13\", expect_size=\"47354880\"] \n  13 -> 16 [size =\"47354880\"]\n  13 -> 17 [size =\"47354880\"]\n  14 [size=\"44449280\", alpha=\"0.11\", expect_size=\"17779712\"] \n  14 -> 18 [size =\"17779712\"]\n  15 [size=\"38653440\", alpha=\"0.11\", expect_size=\"15461376\"] \n  15 -> 16 [size =\"15461376\"]\n  15 -> 18 [size =\"15461376\"]\n  16 [size=\"75509760\", alpha=\"0.09\", expect_size=\"30203904\"] \n  16 -> 19 [size =\"30203904\"]\n  16 -> 20 [size =\"30203904\"]\n  16 -> 21 [size =\"30203904\"]\n  17 [size=\"120064000\", alpha=\"0.18\", expect_size=\"48025600\"] \n  18 [size=\"21591040\", alpha=\"0.18\", expect_size=\"8636416\"] \n  18 -> 19 [size =\"8636416\"]\n  19 [size=\"122304000\", alpha=\"0.17\", expect_size=\"48921600\"] \n  20 [size=\"24074240\", alpha=\"0.01\", expect_size=\"9629696\"] \n  20 -> 22 [size =\"9629696\"]\n  20 -> 23 [size =\"9629696\"]\n  20 -> 24 [size =\"9629696\"]\n  20 -> 25 [size =\"9629696\"]\n  21 [size=\"85880320\", alpha=\"0.17\", expect_size=\"34352128\"] \n  21 -> 22 [size =\"34352128\"]\n  21 -> 23 [size =\"34352128\"]\n  22 [size=\"77370880\", alpha=\"0.11\", expect_size=\"30948352\"] \n  23 [size=\"59389440\", alpha=\"0.17\", expect_size=\"23755776\"] \n  24 [size=\"17397760\", alpha=\"0.08\", expect_size=\"6959104\"] \n  25 [size=\"80279040\", alpha=\"0.02\", expect_size=\"32111616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97316864\", alpha=\"0.12\", expect_size=\"48658432\"] \n  1 -> 20 [size =\"48658432\"]\n  1 -> 24 [size =\"48658432\"]\n  2 [size=\"38776832\", alpha=\"0.03\", expect_size=\"19388416\"] \n  2 -> 24 [size =\"19388416\"]\n  2 -> 25 [size =\"19388416\"]\n  3 [size=\"12058624\", alpha=\"0.08\", expect_size=\"6029312\"] \n  3 -> 19 [size =\"6029312\"]\n  3 -> 22 [size =\"6029312\"]\n  4 [size=\"33656832\", alpha=\"0.05\", expect_size=\"16828416\"] \n  4 -> 19 [size =\"16828416\"]\n  4 -> 22 [size =\"16828416\"]\n  4 -> 24 [size =\"16828416\"]\n  5 [size=\"37105664\", alpha=\"0.01\", expect_size=\"18552832\"] \n  5 -> 18 [size =\"18552832\"]\n  6 [size=\"97333248\", alpha=\"0.10\", expect_size=\"48666624\"] \n  6 -> 18 [size =\"48666624\"]\n  6 -> 19 [size =\"48666624\"]\n  6 -> 22 [size =\"48666624\"]\n  6 -> 23 [size =\"48666624\"]\n  7 [size=\"24788992\", alpha=\"0.16\", expect_size=\"12394496\"] \n  7 -> 18 [size =\"12394496\"]\n  7 -> 22 [size =\"12394496\"]\n  8 [size=\"71026688\", alpha=\"0.09\", expect_size=\"35513344\"] \n  8 -> 18 [size =\"35513344\"]\n  8 -> 19 [size =\"35513344\"]\n  8 -> 24 [size =\"35513344\"]\n  8 -> 25 [size =\"35513344\"]\n  9 [size=\"45133824\", alpha=\"0.13\", expect_size=\"22566912\"] \n  9 -> 18 [size =\"22566912\"]\n  9 -> 19 [size =\"22566912\"]\n  9 -> 20 [size =\"22566912\"]\n  10 [size=\"70334464\", alpha=\"0.19\", expect_size=\"35167232\"] \n  10 -> 19 [size =\"35167232\"]\n  10 -> 20 [size =\"35167232\"]\n  11 [size=\"97533952\", alpha=\"0.04\", expect_size=\"48766976\"] \n  11 -> 24 [size =\"48766976\"]\n  12 [size=\"62060544\", alpha=\"0.01\", expect_size=\"31030272\"] \n  13 [size=\"77832192\", alpha=\"0.16\", expect_size=\"38916096\"] \n  13 -> 19 [size =\"38916096\"]\n  13 -> 20 [size =\"38916096\"]\n  14 [size=\"21991424\", alpha=\"0.13\", expect_size=\"10995712\"] \n  14 -> 20 [size =\"10995712\"]\n  14 -> 22 [size =\"10995712\"]\n  14 -> 24 [size =\"10995712\"]\n  14 -> 25 [size =\"10995712\"]\n  15 [size=\"45144064\", alpha=\"0.09\", expect_size=\"22572032\"] \n  15 -> 20 [size =\"22572032\"]\n  16 [size=\"51017728\", alpha=\"0.05\", expect_size=\"25508864\"] \n  17 [size=\"97355776\", alpha=\"0.14\", expect_size=\"48677888\"] \n  17 -> 18 [size =\"48677888\"]\n  17 -> 21 [size =\"48677888\"]\n  18 [size=\"77983744\", alpha=\"0.11\", expect_size=\"38991872\"] \n  19 [size=\"26492928\", alpha=\"0.02\", expect_size=\"13246464\"] \n  20 [size=\"89915392\", alpha=\"0.04\", expect_size=\"44957696\"] \n  21 [size=\"86140928\", alpha=\"0.04\", expect_size=\"43070464\"] \n  22 [size=\"12933120\", alpha=\"0.10\", expect_size=\"6466560\"] \n  23 [size=\"19226624\", alpha=\"0.17\", expect_size=\"9613312\"] \n  24 [size=\"95629312\", alpha=\"0.08\", expect_size=\"47814656\"] \n  25 [size=\"61235200\", alpha=\"0.05\", expect_size=\"30617600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34553856\", alpha=\"0.08\", expect_size=\"17276928\"] \n  1 -> 5 [size =\"17276928\"]\n  2 [size=\"97757184\", alpha=\"0.12\", expect_size=\"48878592\"] \n  2 -> 6 [size =\"48878592\"]\n  2 -> 7 [size =\"48878592\"]\n  3 [size=\"43143168\", alpha=\"0.04\", expect_size=\"21571584\"] \n  3 -> 6 [size =\"21571584\"]\n  4 [size=\"50319360\", alpha=\"0.14\", expect_size=\"25159680\"] \n  4 -> 5 [size =\"25159680\"]\n  5 [size=\"86994944\", alpha=\"0.00\", expect_size=\"43497472\"] \n  5 -> 11 [size =\"43497472\"]\n  6 [size=\"76124160\", alpha=\"0.16\", expect_size=\"38062080\"] \n  7 [size=\"48902144\", alpha=\"0.19\", expect_size=\"24451072\"] \n  7 -> 8 [size =\"24451072\"]\n  7 -> 9 [size =\"24451072\"]\n  7 -> 10 [size =\"24451072\"]\n  7 -> 11 [size =\"24451072\"]\n  8 [size=\"90679296\", alpha=\"0.06\", expect_size=\"45339648\"] \n  8 -> 15 [size =\"45339648\"]\n  9 [size=\"43759616\", alpha=\"0.17\", expect_size=\"21879808\"] \n  9 -> 14 [size =\"21879808\"]\n  9 -> 15 [size =\"21879808\"]\n  10 [size=\"34514944\", alpha=\"0.01\", expect_size=\"17257472\"] \n  10 -> 12 [size =\"17257472\"]\n  10 -> 13 [size =\"17257472\"]\n  10 -> 14 [size =\"17257472\"]\n  11 [size=\"87492608\", alpha=\"0.04\", expect_size=\"43746304\"] \n  11 -> 12 [size =\"43746304\"]\n  12 [size=\"31653888\", alpha=\"0.05\", expect_size=\"15826944\"] \n  12 -> 19 [size =\"15826944\"]\n  13 [size=\"90503168\", alpha=\"0.00\", expect_size=\"45251584\"] \n  13 -> 17 [size =\"45251584\"]\n  13 -> 18 [size =\"45251584\"]\n  14 [size=\"15708160\", alpha=\"0.09\", expect_size=\"7854080\"] \n  14 -> 16 [size =\"7854080\"]\n  14 -> 18 [size =\"7854080\"]\n  14 -> 20 [size =\"7854080\"]\n  15 [size=\"83521536\", alpha=\"0.15\", expect_size=\"41760768\"] \n  15 -> 17 [size =\"41760768\"]\n  15 -> 19 [size =\"41760768\"]\n  16 [size=\"85706752\", alpha=\"0.12\", expect_size=\"42853376\"] \n  17 [size=\"65746944\", alpha=\"0.08\", expect_size=\"32873472\"] \n  17 -> 21 [size =\"32873472\"]\n  17 -> 22 [size =\"32873472\"]\n  17 -> 23 [size =\"32873472\"]\n  18 [size=\"59904000\", alpha=\"0.03\", expect_size=\"29952000\"] \n  18 -> 21 [size =\"29952000\"]\n  19 [size=\"88846336\", alpha=\"0.20\", expect_size=\"44423168\"] \n  19 -> 21 [size =\"44423168\"]\n  19 -> 23 [size =\"44423168\"]\n  20 [size=\"72650752\", alpha=\"0.17\", expect_size=\"36325376\"] \n  20 -> 22 [size =\"36325376\"]\n  20 -> 23 [size =\"36325376\"]\n  21 [size=\"78827520\", alpha=\"0.19\", expect_size=\"39413760\"] \n  21 -> 24 [size =\"39413760\"]\n  21 -> 25 [size =\"39413760\"]\n  22 [size=\"96575488\", alpha=\"0.20\", expect_size=\"48287744\"] \n  23 [size=\"25939968\", alpha=\"0.07\", expect_size=\"12969984\"] \n  23 -> 25 [size =\"12969984\"]\n  24 [size=\"26894336\", alpha=\"0.03\", expect_size=\"13447168\"] \n  25 [size=\"69478400\", alpha=\"0.16\", expect_size=\"34739200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27330560\", alpha=\"0.08\", expect_size=\"13665280\"] \n  1 -> 24 [size =\"13665280\"]\n  1 -> 24 [size =\"13665280\"]\n  2 [size=\"33605632\", alpha=\"0.16\", expect_size=\"16802816\"] \n  3 [size=\"41289728\", alpha=\"0.12\", expect_size=\"20644864\"] \n  3 -> 23 [size =\"20644864\"]\n  4 [size=\"26378240\", alpha=\"0.03\", expect_size=\"13189120\"] \n  4 -> 22 [size =\"13189120\"]\n  4 -> 23 [size =\"13189120\"]\n  4 -> 25 [size =\"13189120\"]\n  5 [size=\"100116480\", alpha=\"0.02\", expect_size=\"50058240\"] \n  5 -> 24 [size =\"50058240\"]\n  6 [size=\"92948480\", alpha=\"0.09\", expect_size=\"46474240\"] \n  6 -> 24 [size =\"46474240\"]\n  7 [size=\"31178752\", alpha=\"0.06\", expect_size=\"15589376\"] \n  7 -> 23 [size =\"15589376\"]\n  7 -> 24 [size =\"15589376\"]\n  7 -> 25 [size =\"15589376\"]\n  8 [size=\"103471104\", alpha=\"0.05\", expect_size=\"51735552\"] \n  8 -> 23 [size =\"51735552\"]\n  8 -> 24 [size =\"51735552\"]\n  9 [size=\"29890560\", alpha=\"0.06\", expect_size=\"14945280\"] \n  9 -> 22 [size =\"14945280\"]\n  9 -> 23 [size =\"14945280\"]\n  9 -> 24 [size =\"14945280\"]\n  10 [size=\"34213888\", alpha=\"0.03\", expect_size=\"17106944\"] \n  10 -> 22 [size =\"17106944\"]\n  10 -> 23 [size =\"17106944\"]\n  10 -> 24 [size =\"17106944\"]\n  11 [size=\"10995712\", alpha=\"0.02\", expect_size=\"5497856\"] \n  11 -> 22 [size =\"5497856\"]\n  11 -> 23 [size =\"5497856\"]\n  11 -> 24 [size =\"5497856\"]\n  12 [size=\"49057792\", alpha=\"0.16\", expect_size=\"24528896\"] \n  12 -> 22 [size =\"24528896\"]\n  12 -> 24 [size =\"24528896\"]\n  13 [size=\"31674368\", alpha=\"0.08\", expect_size=\"15837184\"] \n  13 -> 25 [size =\"15837184\"]\n  14 [size=\"88872960\", alpha=\"0.17\", expect_size=\"44436480\"] \n  14 -> 22 [size =\"44436480\"]\n  14 -> 24 [size =\"44436480\"]\n  15 [size=\"103051264\", alpha=\"0.18\", expect_size=\"51525632\"] \n  15 -> 22 [size =\"51525632\"]\n  15 -> 24 [size =\"51525632\"]\n  16 [size=\"15851520\", alpha=\"0.04\", expect_size=\"7925760\"] \n  16 -> 22 [size =\"7925760\"]\n  17 [size=\"57503744\", alpha=\"0.02\", expect_size=\"28751872\"] \n  17 -> 22 [size =\"28751872\"]\n  17 -> 23 [size =\"28751872\"]\n  17 -> 24 [size =\"28751872\"]\n  18 [size=\"86804480\", alpha=\"0.13\", expect_size=\"43402240\"] \n  18 -> 22 [size =\"43402240\"]\n  18 -> 23 [size =\"43402240\"]\n  19 [size=\"18180096\", alpha=\"0.14\", expect_size=\"9090048\"] \n  19 -> 22 [size =\"9090048\"]\n  19 -> 24 [size =\"9090048\"]\n  20 [size=\"44572672\", alpha=\"0.09\", expect_size=\"22286336\"] \n  20 -> 22 [size =\"22286336\"]\n  20 -> 24 [size =\"22286336\"]\n  21 [size=\"58198016\", alpha=\"0.08\", expect_size=\"29099008\"] \n  21 -> 22 [size =\"29099008\"]\n  21 -> 24 [size =\"29099008\"]\n  21 -> 25 [size =\"29099008\"]\n  22 [size=\"67297280\", alpha=\"0.12\", expect_size=\"33648640\"] \n  23 [size=\"46710784\", alpha=\"0.03\", expect_size=\"23355392\"] \n  24 [size=\"83165184\", alpha=\"0.17\", expect_size=\"41582592\"] \n  25 [size=\"68861952\", alpha=\"0.10\", expect_size=\"34430976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28321280\", alpha=\"0.17\", expect_size=\"11328512\"] \n  2 [size=\"93440000\", alpha=\"0.17\", expect_size=\"37376000\"] \n  2 -> 20 [size =\"37376000\"]\n  2 -> 25 [size =\"37376000\"]\n  3 [size=\"40965120\", alpha=\"0.09\", expect_size=\"16386048\"] \n  3 -> 18 [size =\"16386048\"]\n  3 -> 25 [size =\"16386048\"]\n  4 [size=\"118123520\", alpha=\"0.19\", expect_size=\"47249408\"] \n  4 -> 18 [size =\"47249408\"]\n  4 -> 21 [size =\"47249408\"]\n  4 -> 25 [size =\"47249408\"]\n  5 [size=\"101015040\", alpha=\"0.06\", expect_size=\"40406016\"] \n  5 -> 21 [size =\"40406016\"]\n  5 -> 24 [size =\"40406016\"]\n  6 [size=\"127964160\", alpha=\"0.13\", expect_size=\"51185664\"] \n  6 -> 18 [size =\"51185664\"]\n  6 -> 21 [size =\"51185664\"]\n  6 -> 24 [size =\"51185664\"]\n  7 [size=\"64655360\", alpha=\"0.12\", expect_size=\"25862144\"] \n  7 -> 18 [size =\"25862144\"]\n  7 -> 21 [size =\"25862144\"]\n  7 -> 24 [size =\"25862144\"]\n  8 [size=\"27461120\", alpha=\"0.18\", expect_size=\"10984448\"] \n  8 -> 18 [size =\"10984448\"]\n  8 -> 19 [size =\"10984448\"]\n  8 -> 24 [size =\"10984448\"]\n  9 [size=\"95884800\", alpha=\"0.11\", expect_size=\"38353920\"] \n  9 -> 24 [size =\"38353920\"]\n  10 [size=\"58529280\", alpha=\"0.15\", expect_size=\"23411712\"] \n  10 -> 18 [size =\"23411712\"]\n  10 -> 20 [size =\"23411712\"]\n  10 -> 24 [size =\"23411712\"]\n  11 [size=\"110517760\", alpha=\"0.16\", expect_size=\"44207104\"] \n  11 -> 18 [size =\"44207104\"]\n  11 -> 21 [size =\"44207104\"]\n  11 -> 24 [size =\"44207104\"]\n  12 [size=\"94092800\", alpha=\"0.12\", expect_size=\"37637120\"] \n  12 -> 18 [size =\"37637120\"]\n  12 -> 21 [size =\"37637120\"]\n  12 -> 22 [size =\"37637120\"]\n  13 [size=\"76177920\", alpha=\"0.04\", expect_size=\"30471168\"] \n  13 -> 19 [size =\"30471168\"]\n  13 -> 21 [size =\"30471168\"]\n  14 [size=\"128977920\", alpha=\"0.02\", expect_size=\"51591168\"] \n  14 -> 19 [size =\"51591168\"]\n  15 [size=\"123612160\", alpha=\"0.05\", expect_size=\"49444864\"] \n  15 -> 20 [size =\"49444864\"]\n  16 [size=\"40035840\", alpha=\"0.17\", expect_size=\"16014336\"] \n  16 -> 18 [size =\"16014336\"]\n  16 -> 22 [size =\"16014336\"]\n  16 -> 24 [size =\"16014336\"]\n  17 [size=\"115791360\", alpha=\"0.10\", expect_size=\"46316544\"] \n  17 -> 23 [size =\"46316544\"]\n  18 [size=\"69890560\", alpha=\"0.05\", expect_size=\"27956224\"] \n  19 [size=\"55470080\", alpha=\"0.12\", expect_size=\"22188032\"] \n  20 [size=\"120309760\", alpha=\"0.13\", expect_size=\"48123904\"] \n  21 [size=\"93470720\", alpha=\"0.17\", expect_size=\"37388288\"] \n  22 [size=\"72069120\", alpha=\"0.14\", expect_size=\"28827648\"] \n  23 [size=\"25651200\", alpha=\"0.16\", expect_size=\"10260480\"] \n  24 [size=\"48007680\", alpha=\"0.16\", expect_size=\"19203072\"] \n  25 [size=\"62394880\", alpha=\"0.11\", expect_size=\"24957952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40668160\", alpha=\"0.05\", expect_size=\"16267264\"] \n  1 -> 17 [size =\"16267264\"]\n  1 -> 20 [size =\"16267264\"]\n  1 -> 21 [size =\"16267264\"]\n  1 -> 24 [size =\"16267264\"]\n  2 [size=\"27514880\", alpha=\"0.09\", expect_size=\"11005952\"] \n  2 -> 19 [size =\"11005952\"]\n  2 -> 21 [size =\"11005952\"]\n  2 -> 23 [size =\"11005952\"]\n  2 -> 24 [size =\"11005952\"]\n  3 [size=\"113011200\", alpha=\"0.19\", expect_size=\"45204480\"] \n  3 -> 17 [size =\"45204480\"]\n  3 -> 18 [size =\"45204480\"]\n  3 -> 21 [size =\"45204480\"]\n  3 -> 23 [size =\"45204480\"]\n  4 [size=\"38359040\", alpha=\"0.01\", expect_size=\"15343616\"] \n  4 -> 17 [size =\"15343616\"]\n  4 -> 18 [size =\"15343616\"]\n  4 -> 19 [size =\"15343616\"]\n  4 -> 20 [size =\"15343616\"]\n  4 -> 23 [size =\"15343616\"]\n  4 -> 24 [size =\"15343616\"]\n  5 [size=\"99077120\", alpha=\"0.13\", expect_size=\"39630848\"] \n  5 -> 17 [size =\"39630848\"]\n  5 -> 22 [size =\"39630848\"]\n  5 -> 23 [size =\"39630848\"]\n  5 -> 24 [size =\"39630848\"]\n  6 [size=\"72437760\", alpha=\"0.19\", expect_size=\"28975104\"] \n  6 -> 20 [size =\"28975104\"]\n  6 -> 21 [size =\"28975104\"]\n  6 -> 23 [size =\"28975104\"]\n  7 [size=\"22886400\", alpha=\"0.10\", expect_size=\"9154560\"] \n  7 -> 18 [size =\"9154560\"]\n  7 -> 21 [size =\"9154560\"]\n  7 -> 23 [size =\"9154560\"]\n  7 -> 24 [size =\"9154560\"]\n  7 -> 25 [size =\"9154560\"]\n  8 [size=\"115215360\", alpha=\"0.17\", expect_size=\"46086144\"] \n  8 -> 17 [size =\"46086144\"]\n  8 -> 18 [size =\"46086144\"]\n  8 -> 19 [size =\"46086144\"]\n  8 -> 20 [size =\"46086144\"]\n  8 -> 21 [size =\"46086144\"]\n  8 -> 23 [size =\"46086144\"]\n  8 -> 24 [size =\"46086144\"]\n  8 -> 25 [size =\"46086144\"]\n  9 [size=\"86640640\", alpha=\"0.05\", expect_size=\"34656256\"] \n  9 -> 17 [size =\"34656256\"]\n  9 -> 18 [size =\"34656256\"]\n  9 -> 19 [size =\"34656256\"]\n  9 -> 21 [size =\"34656256\"]\n  9 -> 23 [size =\"34656256\"]\n  9 -> 23 [size =\"34656256\"]\n  9 -> 24 [size =\"34656256\"]\n  9 -> 25 [size =\"34656256\"]\n  10 [size=\"14901760\", alpha=\"0.13\", expect_size=\"5960704\"] \n  10 -> 17 [size =\"5960704\"]\n  10 -> 19 [size =\"5960704\"]\n  10 -> 20 [size =\"5960704\"]\n  10 -> 21 [size =\"5960704\"]\n  10 -> 23 [size =\"5960704\"]\n  11 [size=\"105397760\", alpha=\"0.17\", expect_size=\"42159104\"] \n  11 -> 17 [size =\"42159104\"]\n  11 -> 20 [size =\"42159104\"]\n  11 -> 21 [size =\"42159104\"]\n  11 -> 23 [size =\"42159104\"]\n  11 -> 23 [size =\"42159104\"]\n  11 -> 24 [size =\"42159104\"]\n  12 [size=\"14433280\", alpha=\"0.17\", expect_size=\"5773312\"] \n  12 -> 17 [size =\"5773312\"]\n  12 -> 20 [size =\"5773312\"]\n  12 -> 21 [size =\"5773312\"]\n  12 -> 23 [size =\"5773312\"]\n  12 -> 24 [size =\"5773312\"]\n  12 -> 25 [size =\"5773312\"]\n  13 [size=\"66094080\", alpha=\"0.02\", expect_size=\"26437632\"] \n  13 -> 17 [size =\"26437632\"]\n  13 -> 20 [size =\"26437632\"]\n  13 -> 21 [size =\"26437632\"]\n  13 -> 22 [size =\"26437632\"]\n  13 -> 23 [size =\"26437632\"]\n  13 -> 24 [size =\"26437632\"]\n  13 -> 25 [size =\"26437632\"]\n  14 [size=\"62064640\", alpha=\"0.07\", expect_size=\"24825856\"] \n  14 -> 17 [size =\"24825856\"]\n  14 -> 19 [size =\"24825856\"]\n  14 -> 20 [size =\"24825856\"]\n  14 -> 21 [size =\"24825856\"]\n  14 -> 23 [size =\"24825856\"]\n  15 [size=\"68759040\", alpha=\"0.18\", expect_size=\"27503616\"] \n  15 -> 17 [size =\"27503616\"]\n  15 -> 18 [size =\"27503616\"]\n  15 -> 19 [size =\"27503616\"]\n  15 -> 20 [size =\"27503616\"]\n  15 -> 21 [size =\"27503616\"]\n  16 [size=\"27778560\", alpha=\"0.17\", expect_size=\"11111424\"] \n  16 -> 21 [size =\"11111424\"]\n  16 -> 24 [size =\"11111424\"]\n  16 -> 25 [size =\"11111424\"]\n  17 [size=\"23377920\", alpha=\"0.02\", expect_size=\"9351168\"] \n  18 [size=\"83770880\", alpha=\"0.16\", expect_size=\"33508352\"] \n  19 [size=\"63723520\", alpha=\"0.11\", expect_size=\"25489408\"] \n  20 [size=\"90408960\", alpha=\"0.16\", expect_size=\"36163584\"] \n  21 [size=\"50662400\", alpha=\"0.07\", expect_size=\"20264960\"] \n  22 [size=\"32506880\", alpha=\"0.19\", expect_size=\"13002752\"] \n  23 [size=\"15060480\", alpha=\"0.09\", expect_size=\"6024192\"] \n  24 [size=\"26836480\", alpha=\"0.03\", expect_size=\"10734592\"] \n  25 [size=\"65702400\", alpha=\"0.11\", expect_size=\"26280960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13511680\", alpha=\"0.07\", expect_size=\"5404672\"] \n  1 -> 3 [size =\"5404672\"]\n  2 [size=\"104181760\", alpha=\"0.07\", expect_size=\"41672704\"] \n  2 -> 3 [size =\"41672704\"]\n  3 [size=\"60416000\", alpha=\"0.03\", expect_size=\"24166400\"] \n  3 -> 4 [size =\"24166400\"]\n  3 -> 5 [size =\"24166400\"]\n  4 [size=\"44899840\", alpha=\"0.12\", expect_size=\"17959936\"] \n  4 -> 6 [size =\"17959936\"]\n  4 -> 7 [size =\"17959936\"]\n  5 [size=\"58997760\", alpha=\"0.10\", expect_size=\"23599104\"] \n  5 -> 6 [size =\"23599104\"]\n  5 -> 7 [size =\"23599104\"]\n  6 [size=\"17702400\", alpha=\"0.06\", expect_size=\"7080960\"] \n  6 -> 8 [size =\"7080960\"]\n  6 -> 9 [size =\"7080960\"]\n  7 [size=\"114296320\", alpha=\"0.17\", expect_size=\"45718528\"] \n  7 -> 8 [size =\"45718528\"]\n  7 -> 9 [size =\"45718528\"]\n  8 [size=\"81605120\", alpha=\"0.06\", expect_size=\"32642048\"] \n  8 -> 10 [size =\"32642048\"]\n  8 -> 11 [size =\"32642048\"]\n  9 [size=\"71078400\", alpha=\"0.17\", expect_size=\"28431360\"] \n  9 -> 10 [size =\"28431360\"]\n  9 -> 11 [size =\"28431360\"]\n  10 [size=\"73999360\", alpha=\"0.01\", expect_size=\"29599744\"] \n  10 -> 12 [size =\"29599744\"]\n  10 -> 13 [size =\"29599744\"]\n  11 [size=\"68948480\", alpha=\"0.11\", expect_size=\"27579392\"] \n  11 -> 12 [size =\"27579392\"]\n  11 -> 13 [size =\"27579392\"]\n  12 [size=\"112407040\", alpha=\"0.06\", expect_size=\"44962816\"] \n  12 -> 14 [size =\"44962816\"]\n  13 [size=\"34227200\", alpha=\"0.17\", expect_size=\"13690880\"] \n  13 -> 14 [size =\"13690880\"]\n  14 [size=\"52229120\", alpha=\"0.18\", expect_size=\"20891648\"] \n  14 -> 15 [size =\"20891648\"]\n  15 [size=\"122396160\", alpha=\"0.20\", expect_size=\"48958464\"] \n  15 -> 16 [size =\"48958464\"]\n  15 -> 17 [size =\"48958464\"]\n  16 [size=\"61424640\", alpha=\"0.04\", expect_size=\"24569856\"] \n  16 -> 18 [size =\"24569856\"]\n  17 [size=\"98746880\", alpha=\"0.20\", expect_size=\"39498752\"] \n  17 -> 18 [size =\"39498752\"]\n  18 [size=\"83793920\", alpha=\"0.16\", expect_size=\"33517568\"] \n  18 -> 19 [size =\"33517568\"]\n  18 -> 20 [size =\"33517568\"]\n  19 [size=\"121853440\", alpha=\"0.01\", expect_size=\"48741376\"] \n  20 [size=\"104179200\", alpha=\"0.10\", expect_size=\"41671680\"] \n  20 -> 21 [size =\"41671680\"]\n  21 [size=\"110039040\", alpha=\"0.19\", expect_size=\"44015616\"] \n  21 -> 22 [size =\"44015616\"]\n  22 [size=\"58854400\", alpha=\"0.03\", expect_size=\"23541760\"] \n  22 -> 23 [size =\"23541760\"]\n  23 [size=\"91358720\", alpha=\"0.15\", expect_size=\"36543488\"] \n  23 -> 24 [size =\"36543488\"]\n  23 -> 25 [size =\"36543488\"]\n  24 [size=\"75031040\", alpha=\"0.13\", expect_size=\"30012416\"] \n  25 [size=\"60687360\", alpha=\"0.18\", expect_size=\"24274944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103017813\", alpha=\"0.12\", expect_size=\"30905344\"] \n  1 -> 3 [size =\"30905344\"]\n  2 [size=\"72956587\", alpha=\"0.06\", expect_size=\"21886976\"] \n  2 -> 3 [size =\"21886976\"]\n  3 [size=\"68809387\", alpha=\"0.15\", expect_size=\"20642816\"] \n  3 -> 4 [size =\"20642816\"]\n  4 [size=\"164358827\", alpha=\"0.01\", expect_size=\"49307648\"] \n  4 -> 5 [size =\"49307648\"]\n  4 -> 6 [size =\"49307648\"]\n  5 [size=\"54647467\", alpha=\"0.19\", expect_size=\"16394240\"] \n  5 -> 7 [size =\"16394240\"]\n  6 [size=\"119562240\", alpha=\"0.18\", expect_size=\"35868672\"] \n  7 [size=\"34184533\", alpha=\"0.07\", expect_size=\"10255360\"] \n  7 -> 8 [size =\"10255360\"]\n  7 -> 9 [size =\"10255360\"]\n  8 [size=\"51319467\", alpha=\"0.08\", expect_size=\"15395840\"] \n  8 -> 10 [size =\"15395840\"]\n  9 [size=\"50244267\", alpha=\"0.15\", expect_size=\"15073280\"] \n  10 [size=\"168478720\", alpha=\"0.03\", expect_size=\"50543616\"] \n  10 -> 11 [size =\"50543616\"]\n  11 [size=\"147254613\", alpha=\"0.08\", expect_size=\"44176384\"] \n  11 -> 12 [size =\"44176384\"]\n  11 -> 13 [size =\"44176384\"]\n  12 [size=\"83401387\", alpha=\"0.17\", expect_size=\"25020416\"] \n  12 -> 14 [size =\"25020416\"]\n  13 [size=\"131355307\", alpha=\"0.19\", expect_size=\"39406592\"] \n  14 [size=\"88299520\", alpha=\"0.19\", expect_size=\"26489856\"] \n  14 -> 15 [size =\"26489856\"]\n  14 -> 16 [size =\"26489856\"]\n  15 [size=\"99655680\", alpha=\"0.13\", expect_size=\"29896704\"] \n  15 -> 17 [size =\"29896704\"]\n  16 [size=\"90030080\", alpha=\"0.16\", expect_size=\"27009024\"] \n  16 -> 17 [size =\"27009024\"]\n  16 -> 18 [size =\"27009024\"]\n  17 [size=\"73970347\", alpha=\"0.19\", expect_size=\"22191104\"] \n  17 -> 19 [size =\"22191104\"]\n  18 [size=\"127894187\", alpha=\"0.13\", expect_size=\"38368256\"] \n  18 -> 19 [size =\"38368256\"]\n  19 [size=\"37154133\", alpha=\"0.05\", expect_size=\"11146240\"] \n  19 -> 20 [size =\"11146240\"]\n  19 -> 21 [size =\"11146240\"]\n  20 [size=\"155228160\", alpha=\"0.19\", expect_size=\"46568448\"] \n  20 -> 22 [size =\"46568448\"]\n  21 [size=\"17988267\", alpha=\"0.05\", expect_size=\"5396480\"] \n  21 -> 22 [size =\"5396480\"]\n  22 [size=\"78199467\", alpha=\"0.18\", expect_size=\"23459840\"] \n  22 -> 23 [size =\"23459840\"]\n  23 [size=\"51333120\", alpha=\"0.17\", expect_size=\"15399936\"] \n  23 -> 24 [size =\"15399936\"]\n  23 -> 25 [size =\"15399936\"]\n  24 [size=\"42175147\", alpha=\"0.16\", expect_size=\"12652544\"] \n  25 [size=\"30924800\", alpha=\"0.18\", expect_size=\"9277440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29280256\", alpha=\"0.05\", expect_size=\"14640128\"] \n  1 -> 7 [size =\"14640128\"]\n  2 [size=\"11642880\", alpha=\"0.13\", expect_size=\"5821440\"] \n  2 -> 5 [size =\"5821440\"]\n  2 -> 7 [size =\"5821440\"]\n  3 [size=\"44027904\", alpha=\"0.06\", expect_size=\"22013952\"] \n  4 [size=\"32051200\", alpha=\"0.03\", expect_size=\"16025600\"] \n  4 -> 6 [size =\"16025600\"]\n  5 [size=\"97124352\", alpha=\"0.11\", expect_size=\"48562176\"] \n  5 -> 8 [size =\"48562176\"]\n  5 -> 10 [size =\"48562176\"]\n  6 [size=\"77584384\", alpha=\"0.02\", expect_size=\"38792192\"] \n  6 -> 9 [size =\"38792192\"]\n  6 -> 10 [size =\"38792192\"]\n  6 -> 11 [size =\"38792192\"]\n  7 [size=\"75188224\", alpha=\"0.08\", expect_size=\"37594112\"] \n  7 -> 9 [size =\"37594112\"]\n  7 -> 11 [size =\"37594112\"]\n  8 [size=\"82046976\", alpha=\"0.19\", expect_size=\"41023488\"] \n  8 -> 14 [size =\"41023488\"]\n  9 [size=\"42766336\", alpha=\"0.10\", expect_size=\"21383168\"] \n  9 -> 13 [size =\"21383168\"]\n  9 -> 14 [size =\"21383168\"]\n  9 -> 15 [size =\"21383168\"]\n  10 [size=\"99371008\", alpha=\"0.09\", expect_size=\"49685504\"] \n  10 -> 12 [size =\"49685504\"]\n  11 [size=\"68016128\", alpha=\"0.02\", expect_size=\"34008064\"] \n  11 -> 12 [size =\"34008064\"]\n  11 -> 13 [size =\"34008064\"]\n  12 [size=\"91664384\", alpha=\"0.16\", expect_size=\"45832192\"] \n  12 -> 17 [size =\"45832192\"]\n  13 [size=\"56889344\", alpha=\"0.09\", expect_size=\"28444672\"] \n  13 -> 16 [size =\"28444672\"]\n  14 [size=\"84987904\", alpha=\"0.01\", expect_size=\"42493952\"] \n  14 -> 18 [size =\"42493952\"]\n  15 [size=\"98584576\", alpha=\"0.11\", expect_size=\"49292288\"] \n  15 -> 18 [size =\"49292288\"]\n  16 [size=\"56850432\", alpha=\"0.12\", expect_size=\"28425216\"] \n  16 -> 21 [size =\"28425216\"]\n  16 -> 22 [size =\"28425216\"]\n  16 -> 23 [size =\"28425216\"]\n  17 [size=\"63975424\", alpha=\"0.19\", expect_size=\"31987712\"] \n  17 -> 23 [size =\"31987712\"]\n  18 [size=\"100050944\", alpha=\"0.06\", expect_size=\"50025472\"] \n  18 -> 19 [size =\"50025472\"]\n  18 -> 20 [size =\"50025472\"]\n  18 -> 22 [size =\"50025472\"]\n  19 [size=\"95684608\", alpha=\"0.19\", expect_size=\"47842304\"] \n  19 -> 25 [size =\"47842304\"]\n  20 [size=\"48363520\", alpha=\"0.17\", expect_size=\"24181760\"] \n  20 -> 24 [size =\"24181760\"]\n  21 [size=\"89862144\", alpha=\"0.20\", expect_size=\"44931072\"] \n  21 -> 25 [size =\"44931072\"]\n  22 [size=\"100452352\", alpha=\"0.03\", expect_size=\"50226176\"] \n  22 -> 24 [size =\"50226176\"]\n  22 -> 25 [size =\"50226176\"]\n  23 [size=\"80490496\", alpha=\"0.13\", expect_size=\"40245248\"] \n  23 -> 24 [size =\"40245248\"]\n  24 [size=\"29108224\", alpha=\"0.07\", expect_size=\"14554112\"] \n  25 [size=\"31940608\", alpha=\"0.00\", expect_size=\"15970304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80445440\", alpha=\"0.13\", expect_size=\"40222720\"] \n  1 -> 3 [size =\"40222720\"]\n  1 -> 4 [size =\"40222720\"]\n  2 [size=\"68642816\", alpha=\"0.11\", expect_size=\"34321408\"] \n  2 -> 3 [size =\"34321408\"]\n  3 [size=\"71258112\", alpha=\"0.16\", expect_size=\"35629056\"] \n  3 -> 5 [size =\"35629056\"]\n  3 -> 6 [size =\"35629056\"]\n  4 [size=\"99508224\", alpha=\"0.14\", expect_size=\"49754112\"] \n  4 -> 5 [size =\"49754112\"]\n  5 [size=\"80715776\", alpha=\"0.07\", expect_size=\"40357888\"] \n  6 [size=\"103415808\", alpha=\"0.15\", expect_size=\"51707904\"] \n  6 -> 7 [size =\"51707904\"]\n  7 [size=\"45899776\", alpha=\"0.00\", expect_size=\"22949888\"] \n  7 -> 8 [size =\"22949888\"]\n  8 [size=\"85630976\", alpha=\"0.10\", expect_size=\"42815488\"] \n  8 -> 9 [size =\"42815488\"]\n  9 [size=\"32368640\", alpha=\"0.13\", expect_size=\"16184320\"] \n  9 -> 10 [size =\"16184320\"]\n  10 [size=\"100225024\", alpha=\"0.15\", expect_size=\"50112512\"] \n  10 -> 11 [size =\"50112512\"]\n  11 [size=\"56172544\", alpha=\"0.08\", expect_size=\"28086272\"] \n  11 -> 12 [size =\"28086272\"]\n  12 [size=\"25008128\", alpha=\"0.15\", expect_size=\"12504064\"] \n  12 -> 13 [size =\"12504064\"]\n  13 [size=\"75890688\", alpha=\"0.00\", expect_size=\"37945344\"] \n  13 -> 14 [size =\"37945344\"]\n  14 [size=\"55021568\", alpha=\"0.00\", expect_size=\"27510784\"] \n  14 -> 15 [size =\"27510784\"]\n  14 -> 16 [size =\"27510784\"]\n  15 [size=\"26013696\", alpha=\"0.12\", expect_size=\"13006848\"] \n  16 [size=\"58490880\", alpha=\"0.07\", expect_size=\"29245440\"] \n  16 -> 17 [size =\"29245440\"]\n  17 [size=\"32874496\", alpha=\"0.08\", expect_size=\"16437248\"] \n  17 -> 18 [size =\"16437248\"]\n  18 [size=\"34174976\", alpha=\"0.09\", expect_size=\"17087488\"] \n  18 -> 19 [size =\"17087488\"]\n  19 [size=\"82855936\", alpha=\"0.20\", expect_size=\"41427968\"] \n  19 -> 20 [size =\"41427968\"]\n  19 -> 21 [size =\"41427968\"]\n  20 [size=\"51550208\", alpha=\"0.02\", expect_size=\"25775104\"] \n  20 -> 22 [size =\"25775104\"]\n  21 [size=\"30193664\", alpha=\"0.20\", expect_size=\"15096832\"] \n  21 -> 22 [size =\"15096832\"]\n  21 -> 23 [size =\"15096832\"]\n  22 [size=\"69904384\", alpha=\"0.09\", expect_size=\"34952192\"] \n  23 [size=\"45072384\", alpha=\"0.12\", expect_size=\"22536192\"] \n  23 -> 24 [size =\"22536192\"]\n  24 [size=\"46518272\", alpha=\"0.13\", expect_size=\"23259136\"] \n  24 -> 25 [size =\"23259136\"]\n  25 [size=\"47722496\", alpha=\"0.10\", expect_size=\"23861248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24248320\", alpha=\"0.07\", expect_size=\"9699328\"] \n  1 -> 3 [size =\"9699328\"]\n  2 [size=\"41771520\", alpha=\"0.03\", expect_size=\"16708608\"] \n  2 -> 4 [size =\"16708608\"]\n  2 -> 5 [size =\"16708608\"]\n  3 [size=\"30080000\", alpha=\"0.03\", expect_size=\"12032000\"] \n  3 -> 6 [size =\"12032000\"]\n  3 -> 8 [size =\"12032000\"]\n  4 [size=\"122383360\", alpha=\"0.06\", expect_size=\"48953344\"] \n  4 -> 7 [size =\"48953344\"]\n  5 [size=\"46883840\", alpha=\"0.01\", expect_size=\"18753536\"] \n  5 -> 6 [size =\"18753536\"]\n  5 -> 7 [size =\"18753536\"]\n  6 [size=\"14074880\", alpha=\"0.14\", expect_size=\"5629952\"] \n  6 -> 10 [size =\"5629952\"]\n  6 -> 11 [size =\"5629952\"]\n  7 [size=\"34565120\", alpha=\"0.03\", expect_size=\"13826048\"] \n  7 -> 9 [size =\"13826048\"]\n  8 [size=\"64942080\", alpha=\"0.11\", expect_size=\"25976832\"] \n  8 -> 9 [size =\"25976832\"]\n  9 [size=\"95636480\", alpha=\"0.12\", expect_size=\"38254592\"] \n  9 -> 12 [size =\"38254592\"]\n  10 [size=\"16642560\", alpha=\"0.20\", expect_size=\"6657024\"] \n  10 -> 12 [size =\"6657024\"]\n  10 -> 13 [size =\"6657024\"]\n  11 [size=\"64023040\", alpha=\"0.01\", expect_size=\"25609216\"] \n  11 -> 13 [size =\"25609216\"]\n  12 [size=\"103265280\", alpha=\"0.13\", expect_size=\"41306112\"] \n  12 -> 14 [size =\"41306112\"]\n  13 [size=\"120276480\", alpha=\"0.02\", expect_size=\"48110592\"] \n  13 -> 15 [size =\"48110592\"]\n  13 -> 16 [size =\"48110592\"]\n  14 [size=\"19371520\", alpha=\"0.03\", expect_size=\"7748608\"] \n  14 -> 17 [size =\"7748608\"]\n  14 -> 19 [size =\"7748608\"]\n  14 -> 20 [size =\"7748608\"]\n  15 [size=\"55349760\", alpha=\"0.14\", expect_size=\"22139904\"] \n  15 -> 17 [size =\"22139904\"]\n  15 -> 18 [size =\"22139904\"]\n  15 -> 19 [size =\"22139904\"]\n  16 [size=\"64148480\", alpha=\"0.07\", expect_size=\"25659392\"] \n  16 -> 18 [size =\"25659392\"]\n  16 -> 19 [size =\"25659392\"]\n  17 [size=\"30873600\", alpha=\"0.10\", expect_size=\"12349440\"] \n  17 -> 23 [size =\"12349440\"]\n  18 [size=\"48499200\", alpha=\"0.13\", expect_size=\"19399680\"] \n  18 -> 21 [size =\"19399680\"]\n  18 -> 22 [size =\"19399680\"]\n  18 -> 23 [size =\"19399680\"]\n  19 [size=\"112898560\", alpha=\"0.04\", expect_size=\"45159424\"] \n  19 -> 21 [size =\"45159424\"]\n  19 -> 23 [size =\"45159424\"]\n  20 [size=\"67294720\", alpha=\"0.07\", expect_size=\"26917888\"] \n  20 -> 21 [size =\"26917888\"]\n  21 [size=\"67251200\", alpha=\"0.13\", expect_size=\"26900480\"] \n  22 [size=\"74073600\", alpha=\"0.03\", expect_size=\"29629440\"] \n  22 -> 24 [size =\"29629440\"]\n  22 -> 25 [size =\"29629440\"]\n  23 [size=\"30400000\", alpha=\"0.16\", expect_size=\"12160000\"] \n  24 [size=\"41679360\", alpha=\"0.07\", expect_size=\"16671744\"] \n  25 [size=\"62174720\", alpha=\"0.05\", expect_size=\"24869888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22333440\", alpha=\"0.11\", expect_size=\"8933376\"] \n  1 -> 2 [size =\"8933376\"]\n  2 [size=\"52385280\", alpha=\"0.13\", expect_size=\"20954112\"] \n  2 -> 3 [size =\"20954112\"]\n  3 [size=\"80350720\", alpha=\"0.01\", expect_size=\"32140288\"] \n  3 -> 4 [size =\"32140288\"]\n  4 [size=\"83171840\", alpha=\"0.06\", expect_size=\"33268736\"] \n  4 -> 5 [size =\"33268736\"]\n  5 [size=\"64048640\", alpha=\"0.06\", expect_size=\"25619456\"] \n  5 -> 6 [size =\"25619456\"]\n  6 [size=\"36129280\", alpha=\"0.09\", expect_size=\"14451712\"] \n  6 -> 7 [size =\"14451712\"]\n  7 [size=\"41428480\", alpha=\"0.12\", expect_size=\"16571392\"] \n  7 -> 8 [size =\"16571392\"]\n  8 [size=\"48757760\", alpha=\"0.05\", expect_size=\"19503104\"] \n  8 -> 9 [size =\"19503104\"]\n  9 [size=\"85493760\", alpha=\"0.14\", expect_size=\"34197504\"] \n  9 -> 10 [size =\"34197504\"]\n  10 [size=\"72867840\", alpha=\"0.00\", expect_size=\"29147136\"] \n  10 -> 11 [size =\"29147136\"]\n  11 [size=\"68730880\", alpha=\"0.13\", expect_size=\"27492352\"] \n  11 -> 12 [size =\"27492352\"]\n  12 [size=\"17960960\", alpha=\"0.18\", expect_size=\"7184384\"] \n  12 -> 13 [size =\"7184384\"]\n  13 [size=\"96657920\", alpha=\"0.18\", expect_size=\"38663168\"] \n  13 -> 14 [size =\"38663168\"]\n  14 [size=\"100346880\", alpha=\"0.17\", expect_size=\"40138752\"] \n  14 -> 15 [size =\"40138752\"]\n  15 [size=\"17963520\", alpha=\"0.15\", expect_size=\"7185408\"] \n  15 -> 16 [size =\"7185408\"]\n  16 [size=\"54801920\", alpha=\"0.15\", expect_size=\"21920768\"] \n  16 -> 17 [size =\"21920768\"]\n  17 [size=\"109826560\", alpha=\"0.18\", expect_size=\"43930624\"] \n  17 -> 18 [size =\"43930624\"]\n  18 [size=\"61598720\", alpha=\"0.17\", expect_size=\"24639488\"] \n  18 -> 19 [size =\"24639488\"]\n  19 [size=\"92410880\", alpha=\"0.05\", expect_size=\"36964352\"] \n  19 -> 20 [size =\"36964352\"]\n  20 [size=\"57884160\", alpha=\"0.12\", expect_size=\"23153664\"] \n  20 -> 21 [size =\"23153664\"]\n  21 [size=\"60247040\", alpha=\"0.20\", expect_size=\"24098816\"] \n  21 -> 22 [size =\"24098816\"]\n  22 [size=\"19297280\", alpha=\"0.15\", expect_size=\"7718912\"] \n  22 -> 23 [size =\"7718912\"]\n  23 [size=\"128389120\", alpha=\"0.01\", expect_size=\"51355648\"] \n  23 -> 24 [size =\"51355648\"]\n  24 [size=\"118807040\", alpha=\"0.19\", expect_size=\"47522816\"] \n  24 -> 25 [size =\"47522816\"]\n  25 [size=\"100835840\", alpha=\"0.06\", expect_size=\"40334336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91246080\", alpha=\"0.14\", expect_size=\"36498432\"] \n  1 -> 9 [size =\"36498432\"]\n  1 -> 12 [size =\"36498432\"]\n  1 -> 13 [size =\"36498432\"]\n  1 -> 14 [size =\"36498432\"]\n  2 [size=\"78917120\", alpha=\"0.12\", expect_size=\"31566848\"] \n  2 -> 9 [size =\"31566848\"]\n  3 [size=\"63856640\", alpha=\"0.19\", expect_size=\"25542656\"] \n  3 -> 9 [size =\"25542656\"]\n  4 [size=\"112739840\", alpha=\"0.02\", expect_size=\"45095936\"] \n  4 -> 9 [size =\"45095936\"]\n  4 -> 12 [size =\"45095936\"]\n  5 [size=\"128463360\", alpha=\"0.04\", expect_size=\"51385344\"] \n  5 -> 13 [size =\"51385344\"]\n  6 [size=\"35957760\", alpha=\"0.12\", expect_size=\"14383104\"] \n  6 -> 10 [size =\"14383104\"]\n  6 -> 13 [size =\"14383104\"]\n  7 [size=\"130649600\", alpha=\"0.11\", expect_size=\"52259840\"] \n  7 -> 11 [size =\"52259840\"]\n  7 -> 13 [size =\"52259840\"]\n  7 -> 14 [size =\"52259840\"]\n  8 [size=\"121405440\", alpha=\"0.01\", expect_size=\"48562176\"] \n  8 -> 9 [size =\"48562176\"]\n  8 -> 13 [size =\"48562176\"]\n  8 -> 14 [size =\"48562176\"]\n  9 [size=\"125550080\", alpha=\"0.08\", expect_size=\"50220032\"] \n  9 -> 15 [size =\"50220032\"]\n  9 -> 16 [size =\"50220032\"]\n  9 -> 17 [size =\"50220032\"]\n  9 -> 19 [size =\"50220032\"]\n  9 -> 22 [size =\"50220032\"]\n  9 -> 23 [size =\"50220032\"]\n  9 -> 24 [size =\"50220032\"]\n  10 [size=\"59118080\", alpha=\"0.09\", expect_size=\"23647232\"] \n  10 -> 21 [size =\"23647232\"]\n  11 [size=\"55255040\", alpha=\"0.15\", expect_size=\"22102016\"] \n  11 -> 17 [size =\"22102016\"]\n  11 -> 18 [size =\"22102016\"]\n  11 -> 20 [size =\"22102016\"]\n  11 -> 24 [size =\"22102016\"]\n  11 -> 25 [size =\"22102016\"]\n  12 [size=\"20968960\", alpha=\"0.16\", expect_size=\"8387584\"] \n  12 -> 18 [size =\"8387584\"]\n  12 -> 21 [size =\"8387584\"]\n  12 -> 23 [size =\"8387584\"]\n  13 [size=\"93916160\", alpha=\"0.08\", expect_size=\"37566464\"] \n  13 -> 18 [size =\"37566464\"]\n  13 -> 21 [size =\"37566464\"]\n  14 [size=\"90846720\", alpha=\"0.13\", expect_size=\"36338688\"] \n  14 -> 17 [size =\"36338688\"]\n  14 -> 18 [size =\"36338688\"]\n  14 -> 19 [size =\"36338688\"]\n  14 -> 20 [size =\"36338688\"]\n  14 -> 21 [size =\"36338688\"]\n  15 [size=\"103006720\", alpha=\"0.17\", expect_size=\"41202688\"] \n  16 [size=\"125736960\", alpha=\"0.11\", expect_size=\"50294784\"] \n  17 [size=\"76631040\", alpha=\"0.18\", expect_size=\"30652416\"] \n  18 [size=\"23121920\", alpha=\"0.09\", expect_size=\"9248768\"] \n  19 [size=\"28083200\", alpha=\"0.09\", expect_size=\"11233280\"] \n  20 [size=\"73758720\", alpha=\"0.18\", expect_size=\"29503488\"] \n  21 [size=\"124838400\", alpha=\"0.01\", expect_size=\"49935360\"] \n  22 [size=\"93358080\", alpha=\"0.14\", expect_size=\"37343232\"] \n  23 [size=\"69240320\", alpha=\"0.16\", expect_size=\"27696128\"] \n  24 [size=\"114918400\", alpha=\"0.16\", expect_size=\"45967360\"] \n  25 [size=\"74949120\", alpha=\"0.14\", expect_size=\"29979648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105151147\", alpha=\"0.12\", expect_size=\"31545344\"] \n  1 -> 2 [size =\"31545344\"]\n  1 -> 3 [size =\"31545344\"]\n  2 [size=\"25589760\", alpha=\"0.12\", expect_size=\"7676928\"] \n  2 -> 4 [size =\"7676928\"]\n  3 [size=\"57890133\", alpha=\"0.18\", expect_size=\"17367040\"] \n  3 -> 4 [size =\"17367040\"]\n  4 [size=\"174694400\", alpha=\"0.07\", expect_size=\"52408320\"] \n  4 -> 5 [size =\"52408320\"]\n  4 -> 6 [size =\"52408320\"]\n  5 [size=\"128843093\", alpha=\"0.13\", expect_size=\"38652928\"] \n  5 -> 7 [size =\"38652928\"]\n  5 -> 8 [size =\"38652928\"]\n  6 [size=\"155825493\", alpha=\"0.14\", expect_size=\"46747648\"] \n  6 -> 7 [size =\"46747648\"]\n  7 [size=\"125255680\", alpha=\"0.08\", expect_size=\"37576704\"] \n  7 -> 9 [size =\"37576704\"]\n  7 -> 10 [size =\"37576704\"]\n  8 [size=\"91221333\", alpha=\"0.12\", expect_size=\"27366400\"] \n  8 -> 10 [size =\"27366400\"]\n  9 [size=\"28958720\", alpha=\"0.08\", expect_size=\"8687616\"] \n  9 -> 11 [size =\"8687616\"]\n  9 -> 12 [size =\"8687616\"]\n  10 [size=\"53012480\", alpha=\"0.10\", expect_size=\"15903744\"] \n  10 -> 11 [size =\"15903744\"]\n  11 [size=\"37949440\", alpha=\"0.15\", expect_size=\"11384832\"] \n  11 -> 13 [size =\"11384832\"]\n  12 [size=\"130597547\", alpha=\"0.20\", expect_size=\"39179264\"] \n  13 [size=\"70195200\", alpha=\"0.16\", expect_size=\"21058560\"] \n  13 -> 14 [size =\"21058560\"]\n  14 [size=\"53053440\", alpha=\"0.06\", expect_size=\"15916032\"] \n  14 -> 15 [size =\"15916032\"]\n  14 -> 16 [size =\"15916032\"]\n  15 [size=\"109864960\", alpha=\"0.16\", expect_size=\"32959488\"] \n  15 -> 17 [size =\"32959488\"]\n  16 [size=\"53719040\", alpha=\"0.05\", expect_size=\"16115712\"] \n  16 -> 17 [size =\"16115712\"]\n  17 [size=\"167007573\", alpha=\"0.06\", expect_size=\"50102272\"] \n  17 -> 18 [size =\"50102272\"]\n  17 -> 19 [size =\"50102272\"]\n  18 [size=\"69007360\", alpha=\"0.11\", expect_size=\"20702208\"] \n  18 -> 20 [size =\"20702208\"]\n  19 [size=\"165444267\", alpha=\"0.18\", expect_size=\"49633280\"] \n  19 -> 20 [size =\"49633280\"]\n  20 [size=\"74072747\", alpha=\"0.03\", expect_size=\"22221824\"] \n  20 -> 21 [size =\"22221824\"]\n  20 -> 22 [size =\"22221824\"]\n  21 [size=\"155098453\", alpha=\"0.19\", expect_size=\"46529536\"] \n  21 -> 23 [size =\"46529536\"]\n  22 [size=\"115462827\", alpha=\"0.16\", expect_size=\"34638848\"] \n  23 [size=\"113926827\", alpha=\"0.18\", expect_size=\"34178048\"] \n  23 -> 24 [size =\"34178048\"]\n  23 -> 25 [size =\"34178048\"]\n  24 [size=\"81701547\", alpha=\"0.01\", expect_size=\"24510464\"] \n  25 [size=\"125085013\", alpha=\"0.17\", expect_size=\"37525504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160157013\", alpha=\"0.05\", expect_size=\"48047104\"] \n  1 -> 5 [size =\"48047104\"]\n  1 -> 7 [size =\"48047104\"]\n  1 -> 7 [size =\"48047104\"]\n  2 [size=\"37376000\", alpha=\"0.15\", expect_size=\"11212800\"] \n  2 -> 5 [size =\"11212800\"]\n  2 -> 6 [size =\"11212800\"]\n  3 [size=\"136287573\", alpha=\"0.09\", expect_size=\"40886272\"] \n  3 -> 5 [size =\"40886272\"]\n  3 -> 7 [size =\"40886272\"]\n  4 [size=\"86824960\", alpha=\"0.13\", expect_size=\"26047488\"] \n  4 -> 5 [size =\"26047488\"]\n  4 -> 6 [size =\"26047488\"]\n  4 -> 7 [size =\"26047488\"]\n  5 [size=\"138093227\", alpha=\"0.11\", expect_size=\"41427968\"] \n  5 -> 8 [size =\"41427968\"]\n  5 -> 9 [size =\"41427968\"]\n  5 -> 10 [size =\"41427968\"]\n  5 -> 11 [size =\"41427968\"]\n  6 [size=\"51749547\", alpha=\"0.10\", expect_size=\"15524864\"] \n  6 -> 9 [size =\"15524864\"]\n  6 -> 9 [size =\"15524864\"]\n  6 -> 10 [size =\"15524864\"]\n  7 [size=\"54149120\", alpha=\"0.08\", expect_size=\"16244736\"] \n  7 -> 8 [size =\"16244736\"]\n  7 -> 10 [size =\"16244736\"]\n  8 [size=\"90798080\", alpha=\"0.00\", expect_size=\"27239424\"] \n  8 -> 12 [size =\"27239424\"]\n  8 -> 13 [size =\"27239424\"]\n  9 [size=\"24900267\", alpha=\"0.16\", expect_size=\"7470080\"] \n  9 -> 12 [size =\"7470080\"]\n  9 -> 13 [size =\"7470080\"]\n  9 -> 15 [size =\"7470080\"]\n  10 [size=\"117940907\", alpha=\"0.19\", expect_size=\"35382272\"] \n  10 -> 12 [size =\"35382272\"]\n  11 [size=\"103236267\", alpha=\"0.08\", expect_size=\"30970880\"] \n  11 -> 13 [size =\"30970880\"]\n  11 -> 14 [size =\"30970880\"]\n  12 [size=\"146094080\", alpha=\"0.08\", expect_size=\"43828224\"] \n  12 -> 16 [size =\"43828224\"]\n  12 -> 17 [size =\"43828224\"]\n  13 [size=\"108837547\", alpha=\"0.07\", expect_size=\"32651264\"] \n  13 -> 16 [size =\"32651264\"]\n  13 -> 17 [size =\"32651264\"]\n  13 -> 18 [size =\"32651264\"]\n  14 [size=\"25791147\", alpha=\"0.05\", expect_size=\"7737344\"] \n  14 -> 17 [size =\"7737344\"]\n  15 [size=\"131826347\", alpha=\"0.12\", expect_size=\"39547904\"] \n  15 -> 16 [size =\"39547904\"]\n  15 -> 17 [size =\"39547904\"]\n  15 -> 19 [size =\"39547904\"]\n  16 [size=\"58658133\", alpha=\"0.17\", expect_size=\"17597440\"] \n  16 -> 20 [size =\"17597440\"]\n  16 -> 21 [size =\"17597440\"]\n  16 -> 22 [size =\"17597440\"]\n  17 [size=\"137786027\", alpha=\"0.19\", expect_size=\"41335808\"] \n  17 -> 20 [size =\"41335808\"]\n  17 -> 21 [size =\"41335808\"]\n  18 [size=\"44151467\", alpha=\"0.17\", expect_size=\"13245440\"] \n  18 -> 20 [size =\"13245440\"]\n  19 [size=\"44786347\", alpha=\"0.16\", expect_size=\"13435904\"] \n  19 -> 20 [size =\"13435904\"]\n  20 [size=\"168615253\", alpha=\"0.11\", expect_size=\"50584576\"] \n  20 -> 23 [size =\"50584576\"]\n  20 -> 24 [size =\"50584576\"]\n  20 -> 25 [size =\"50584576\"]\n  21 [size=\"164430507\", alpha=\"0.04\", expect_size=\"49329152\"] \n  21 -> 23 [size =\"49329152\"]\n  21 -> 24 [size =\"49329152\"]\n  21 -> 25 [size =\"49329152\"]\n  22 [size=\"71697067\", alpha=\"0.19\", expect_size=\"21509120\"] \n  22 -> 23 [size =\"21509120\"]\n  22 -> 24 [size =\"21509120\"]\n  22 -> 25 [size =\"21509120\"]\n  23 [size=\"134990507\", alpha=\"0.10\", expect_size=\"40497152\"] \n  24 [size=\"30460587\", alpha=\"0.09\", expect_size=\"9138176\"] \n  25 [size=\"67921920\", alpha=\"0.04\", expect_size=\"20376576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27439104\", alpha=\"0.11\", expect_size=\"13719552\"] \n  1 -> 24 [size =\"13719552\"]\n  2 [size=\"66623488\", alpha=\"0.15\", expect_size=\"33311744\"] \n  2 -> 21 [size =\"33311744\"]\n  3 [size=\"90046464\", alpha=\"0.13\", expect_size=\"45023232\"] \n  3 -> 21 [size =\"45023232\"]\n  4 [size=\"69457920\", alpha=\"0.10\", expect_size=\"34728960\"] \n  4 -> 22 [size =\"34728960\"]\n  4 -> 25 [size =\"34728960\"]\n  5 [size=\"17428480\", alpha=\"0.18\", expect_size=\"8714240\"] \n  5 -> 20 [size =\"8714240\"]\n  5 -> 22 [size =\"8714240\"]\n  6 [size=\"34521088\", alpha=\"0.17\", expect_size=\"17260544\"] \n  6 -> 24 [size =\"17260544\"]\n  7 [size=\"93452288\", alpha=\"0.03\", expect_size=\"46726144\"] \n  7 -> 19 [size =\"46726144\"]\n  8 [size=\"61263872\", alpha=\"0.09\", expect_size=\"30631936\"] \n  8 -> 18 [size =\"30631936\"]\n  9 [size=\"94449664\", alpha=\"0.18\", expect_size=\"47224832\"] \n  10 [size=\"24909824\", alpha=\"0.05\", expect_size=\"12454912\"] \n  10 -> 22 [size =\"12454912\"]\n  10 -> 23 [size =\"12454912\"]\n  11 [size=\"43784192\", alpha=\"0.04\", expect_size=\"21892096\"] \n  11 -> 18 [size =\"21892096\"]\n  11 -> 23 [size =\"21892096\"]\n  12 [size=\"94605312\", alpha=\"0.14\", expect_size=\"47302656\"] \n  12 -> 18 [size =\"47302656\"]\n  13 [size=\"70551552\", alpha=\"0.20\", expect_size=\"35275776\"] \n  13 -> 18 [size =\"35275776\"]\n  13 -> 20 [size =\"35275776\"]\n  14 [size=\"35874816\", alpha=\"0.09\", expect_size=\"17937408\"] \n  15 [size=\"81610752\", alpha=\"0.05\", expect_size=\"40805376\"] \n  15 -> 24 [size =\"40805376\"]\n  15 -> 25 [size =\"40805376\"]\n  16 [size=\"73797632\", alpha=\"0.15\", expect_size=\"36898816\"] \n  16 -> 19 [size =\"36898816\"]\n  16 -> 20 [size =\"36898816\"]\n  16 -> 21 [size =\"36898816\"]\n  17 [size=\"61655040\", alpha=\"0.19\", expect_size=\"30827520\"] \n  18 [size=\"76570624\", alpha=\"0.16\", expect_size=\"38285312\"] \n  19 [size=\"24938496\", alpha=\"0.11\", expect_size=\"12469248\"] \n  20 [size=\"14262272\", alpha=\"0.08\", expect_size=\"7131136\"] \n  21 [size=\"40110080\", alpha=\"0.09\", expect_size=\"20055040\"] \n  22 [size=\"60694528\", alpha=\"0.02\", expect_size=\"30347264\"] \n  23 [size=\"34433024\", alpha=\"0.11\", expect_size=\"17216512\"] \n  24 [size=\"33740800\", alpha=\"0.13\", expect_size=\"16870400\"] \n  25 [size=\"75728896\", alpha=\"0.17\", expect_size=\"37864448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36855808\", alpha=\"0.08\", expect_size=\"18427904\"] \n  1 -> 20 [size =\"18427904\"]\n  1 -> 22 [size =\"18427904\"]\n  1 -> 23 [size =\"18427904\"]\n  2 [size=\"13309952\", alpha=\"0.17\", expect_size=\"6654976\"] \n  2 -> 21 [size =\"6654976\"]\n  2 -> 22 [size =\"6654976\"]\n  2 -> 24 [size =\"6654976\"]\n  3 [size=\"52600832\", alpha=\"0.13\", expect_size=\"26300416\"] \n  3 -> 20 [size =\"26300416\"]\n  3 -> 21 [size =\"26300416\"]\n  3 -> 24 [size =\"26300416\"]\n  3 -> 25 [size =\"26300416\"]\n  4 [size=\"99145728\", alpha=\"0.12\", expect_size=\"49572864\"] \n  4 -> 20 [size =\"49572864\"]\n  4 -> 21 [size =\"49572864\"]\n  5 [size=\"62005248\", alpha=\"0.15\", expect_size=\"31002624\"] \n  6 [size=\"83191808\", alpha=\"0.14\", expect_size=\"41595904\"] \n  6 -> 21 [size =\"41595904\"]\n  6 -> 22 [size =\"41595904\"]\n  6 -> 24 [size =\"41595904\"]\n  7 [size=\"11319296\", alpha=\"0.01\", expect_size=\"5659648\"] \n  7 -> 20 [size =\"5659648\"]\n  7 -> 21 [size =\"5659648\"]\n  7 -> 24 [size =\"5659648\"]\n  8 [size=\"82454528\", alpha=\"0.18\", expect_size=\"41227264\"] \n  8 -> 24 [size =\"41227264\"]\n  8 -> 25 [size =\"41227264\"]\n  9 [size=\"37709824\", alpha=\"0.11\", expect_size=\"18854912\"] \n  9 -> 20 [size =\"18854912\"]\n  9 -> 22 [size =\"18854912\"]\n  10 [size=\"81844224\", alpha=\"0.03\", expect_size=\"40922112\"] \n  10 -> 21 [size =\"40922112\"]\n  11 [size=\"36728832\", alpha=\"0.05\", expect_size=\"18364416\"] \n  11 -> 21 [size =\"18364416\"]\n  11 -> 25 [size =\"18364416\"]\n  12 [size=\"74633216\", alpha=\"0.19\", expect_size=\"37316608\"] \n  13 [size=\"58527744\", alpha=\"0.18\", expect_size=\"29263872\"] \n  14 [size=\"24995840\", alpha=\"0.13\", expect_size=\"12497920\"] \n  14 -> 24 [size =\"12497920\"]\n  15 [size=\"79745024\", alpha=\"0.07\", expect_size=\"39872512\"] \n  15 -> 20 [size =\"39872512\"]\n  15 -> 22 [size =\"39872512\"]\n  15 -> 24 [size =\"39872512\"]\n  16 [size=\"58130432\", alpha=\"0.04\", expect_size=\"29065216\"] \n  16 -> 20 [size =\"29065216\"]\n  16 -> 21 [size =\"29065216\"]\n  16 -> 22 [size =\"29065216\"]\n  16 -> 24 [size =\"29065216\"]\n  17 [size=\"28295168\", alpha=\"0.10\", expect_size=\"14147584\"] \n  17 -> 20 [size =\"14147584\"]\n  17 -> 21 [size =\"14147584\"]\n  17 -> 22 [size =\"14147584\"]\n  17 -> 24 [size =\"14147584\"]\n  18 [size=\"33052672\", alpha=\"0.16\", expect_size=\"16526336\"] \n  18 -> 22 [size =\"16526336\"]\n  19 [size=\"23209984\", alpha=\"0.18\", expect_size=\"11604992\"] \n  19 -> 22 [size =\"11604992\"]\n  20 [size=\"75405312\", alpha=\"0.20\", expect_size=\"37702656\"] \n  21 [size=\"89847808\", alpha=\"0.07\", expect_size=\"44923904\"] \n  22 [size=\"17451008\", alpha=\"0.14\", expect_size=\"8725504\"] \n  23 [size=\"13000704\", alpha=\"0.11\", expect_size=\"6500352\"] \n  24 [size=\"96634880\", alpha=\"0.06\", expect_size=\"48317440\"] \n  25 [size=\"61974528\", alpha=\"0.12\", expect_size=\"30987264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45245440\", alpha=\"0.09\", expect_size=\"18098176\"] \n  1 -> 10 [size =\"18098176\"]\n  1 -> 12 [size =\"18098176\"]\n  1 -> 14 [size =\"18098176\"]\n  2 [size=\"62947840\", alpha=\"0.02\", expect_size=\"25179136\"] \n  2 -> 10 [size =\"25179136\"]\n  2 -> 12 [size =\"25179136\"]\n  2 -> 13 [size =\"25179136\"]\n  2 -> 14 [size =\"25179136\"]\n  2 -> 15 [size =\"25179136\"]\n  3 [size=\"32821760\", alpha=\"0.01\", expect_size=\"13128704\"] \n  3 -> 9 [size =\"13128704\"]\n  3 -> 13 [size =\"13128704\"]\n  3 -> 15 [size =\"13128704\"]\n  3 -> 16 [size =\"13128704\"]\n  4 [size=\"35243520\", alpha=\"0.13\", expect_size=\"14097408\"] \n  4 -> 10 [size =\"14097408\"]\n  4 -> 12 [size =\"14097408\"]\n  4 -> 13 [size =\"14097408\"]\n  4 -> 15 [size =\"14097408\"]\n  4 -> 16 [size =\"14097408\"]\n  5 [size=\"88450560\", alpha=\"0.15\", expect_size=\"35380224\"] \n  5 -> 9 [size =\"35380224\"]\n  5 -> 12 [size =\"35380224\"]\n  5 -> 13 [size =\"35380224\"]\n  6 [size=\"73589760\", alpha=\"0.19\", expect_size=\"29435904\"] \n  6 -> 10 [size =\"29435904\"]\n  6 -> 13 [size =\"29435904\"]\n  6 -> 14 [size =\"29435904\"]\n  6 -> 15 [size =\"29435904\"]\n  7 [size=\"67614720\", alpha=\"0.05\", expect_size=\"27045888\"] \n  7 -> 10 [size =\"27045888\"]\n  7 -> 12 [size =\"27045888\"]\n  7 -> 14 [size =\"27045888\"]\n  8 [size=\"55731200\", alpha=\"0.00\", expect_size=\"22292480\"] \n  8 -> 10 [size =\"22292480\"]\n  8 -> 11 [size =\"22292480\"]\n  8 -> 14 [size =\"22292480\"]\n  8 -> 16 [size =\"22292480\"]\n  9 [size=\"42165760\", alpha=\"0.06\", expect_size=\"16866304\"] \n  9 -> 18 [size =\"16866304\"]\n  9 -> 20 [size =\"16866304\"]\n  9 -> 22 [size =\"16866304\"]\n  10 [size=\"79700480\", alpha=\"0.14\", expect_size=\"31880192\"] \n  10 -> 17 [size =\"31880192\"]\n  10 -> 18 [size =\"31880192\"]\n  10 -> 19 [size =\"31880192\"]\n  11 [size=\"46888960\", alpha=\"0.14\", expect_size=\"18755584\"] \n  11 -> 18 [size =\"18755584\"]\n  11 -> 18 [size =\"18755584\"]\n  11 -> 20 [size =\"18755584\"]\n  11 -> 23 [size =\"18755584\"]\n  11 -> 24 [size =\"18755584\"]\n  12 [size=\"99307520\", alpha=\"0.15\", expect_size=\"39723008\"] \n  12 -> 17 [size =\"39723008\"]\n  12 -> 23 [size =\"39723008\"]\n  13 [size=\"111772160\", alpha=\"0.00\", expect_size=\"44708864\"] \n  13 -> 17 [size =\"44708864\"]\n  13 -> 18 [size =\"44708864\"]\n  13 -> 21 [size =\"44708864\"]\n  13 -> 22 [size =\"44708864\"]\n  13 -> 23 [size =\"44708864\"]\n  13 -> 24 [size =\"44708864\"]\n  14 [size=\"118013440\", alpha=\"0.01\", expect_size=\"47205376\"] \n  14 -> 17 [size =\"47205376\"]\n  14 -> 18 [size =\"47205376\"]\n  14 -> 24 [size =\"47205376\"]\n  15 [size=\"77030400\", alpha=\"0.17\", expect_size=\"30812160\"] \n  15 -> 23 [size =\"30812160\"]\n  15 -> 24 [size =\"30812160\"]\n  15 -> 24 [size =\"30812160\"]\n  16 [size=\"46023680\", alpha=\"0.10\", expect_size=\"18409472\"] \n  16 -> 19 [size =\"18409472\"]\n  16 -> 20 [size =\"18409472\"]\n  17 [size=\"37537280\", alpha=\"0.11\", expect_size=\"15014912\"] \n  17 -> 25 [size =\"15014912\"]\n  18 [size=\"67348480\", alpha=\"0.15\", expect_size=\"26939392\"] \n  19 [size=\"69140480\", alpha=\"0.03\", expect_size=\"27656192\"] \n  20 [size=\"106457600\", alpha=\"0.18\", expect_size=\"42583040\"] \n  21 [size=\"71628800\", alpha=\"0.19\", expect_size=\"28651520\"] \n  22 [size=\"33971200\", alpha=\"0.08\", expect_size=\"13588480\"] \n  22 -> 25 [size =\"13588480\"]\n  23 [size=\"121658880\", alpha=\"0.20\", expect_size=\"48663552\"] \n  24 [size=\"123189760\", alpha=\"0.16\", expect_size=\"49275904\"] \n  25 [size=\"129044480\", alpha=\"0.05\", expect_size=\"51617792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107947520\", alpha=\"0.02\", expect_size=\"43179008\"] \n  1 -> 19 [size =\"43179008\"]\n  1 -> 20 [size =\"43179008\"]\n  1 -> 23 [size =\"43179008\"]\n  2 [size=\"89479680\", alpha=\"0.06\", expect_size=\"35791872\"] \n  2 -> 19 [size =\"35791872\"]\n  2 -> 20 [size =\"35791872\"]\n  2 -> 23 [size =\"35791872\"]\n  3 [size=\"70853120\", alpha=\"0.14\", expect_size=\"28341248\"] \n  3 -> 22 [size =\"28341248\"]\n  3 -> 23 [size =\"28341248\"]\n  3 -> 25 [size =\"28341248\"]\n  4 [size=\"103651840\", alpha=\"0.17\", expect_size=\"41460736\"] \n  4 -> 17 [size =\"41460736\"]\n  4 -> 22 [size =\"41460736\"]\n  4 -> 23 [size =\"41460736\"]\n  5 [size=\"16148480\", alpha=\"0.14\", expect_size=\"6459392\"] \n  5 -> 20 [size =\"6459392\"]\n  5 -> 23 [size =\"6459392\"]\n  6 [size=\"85934080\", alpha=\"0.00\", expect_size=\"34373632\"] \n  6 -> 20 [size =\"34373632\"]\n  7 [size=\"119342080\", alpha=\"0.12\", expect_size=\"47736832\"] \n  7 -> 21 [size =\"47736832\"]\n  7 -> 25 [size =\"47736832\"]\n  8 [size=\"90158080\", alpha=\"0.06\", expect_size=\"36063232\"] \n  8 -> 20 [size =\"36063232\"]\n  8 -> 22 [size =\"36063232\"]\n  8 -> 23 [size =\"36063232\"]\n  8 -> 25 [size =\"36063232\"]\n  9 [size=\"57707520\", alpha=\"0.11\", expect_size=\"23083008\"] \n  9 -> 23 [size =\"23083008\"]\n  10 [size=\"57093120\", alpha=\"0.19\", expect_size=\"22837248\"] \n  10 -> 17 [size =\"22837248\"]\n  10 -> 21 [size =\"22837248\"]\n  10 -> 22 [size =\"22837248\"]\n  10 -> 25 [size =\"22837248\"]\n  11 [size=\"68316160\", alpha=\"0.03\", expect_size=\"27326464\"] \n  11 -> 20 [size =\"27326464\"]\n  12 [size=\"77864960\", alpha=\"0.04\", expect_size=\"31145984\"] \n  12 -> 21 [size =\"31145984\"]\n  12 -> 23 [size =\"31145984\"]\n  13 [size=\"115051520\", alpha=\"0.01\", expect_size=\"46020608\"] \n  13 -> 22 [size =\"46020608\"]\n  13 -> 24 [size =\"46020608\"]\n  14 [size=\"80215040\", alpha=\"0.06\", expect_size=\"32086016\"] \n  14 -> 17 [size =\"32086016\"]\n  14 -> 18 [size =\"32086016\"]\n  14 -> 20 [size =\"32086016\"]\n  15 [size=\"62993920\", alpha=\"0.17\", expect_size=\"25197568\"] \n  15 -> 17 [size =\"25197568\"]\n  15 -> 19 [size =\"25197568\"]\n  15 -> 20 [size =\"25197568\"]\n  15 -> 21 [size =\"25197568\"]\n  16 [size=\"27235840\", alpha=\"0.14\", expect_size=\"10894336\"] \n  16 -> 18 [size =\"10894336\"]\n  16 -> 19 [size =\"10894336\"]\n  17 [size=\"28938240\", alpha=\"0.11\", expect_size=\"11575296\"] \n  18 [size=\"98560000\", alpha=\"0.11\", expect_size=\"39424000\"] \n  19 [size=\"18721280\", alpha=\"0.14\", expect_size=\"7488512\"] \n  20 [size=\"83957760\", alpha=\"0.08\", expect_size=\"33583104\"] \n  21 [size=\"78366720\", alpha=\"0.18\", expect_size=\"31346688\"] \n  22 [size=\"95165440\", alpha=\"0.01\", expect_size=\"38066176\"] \n  23 [size=\"116290560\", alpha=\"0.14\", expect_size=\"46516224\"] \n  24 [size=\"122191360\", alpha=\"0.02\", expect_size=\"48876544\"] \n  25 [size=\"42035200\", alpha=\"0.11\", expect_size=\"16814080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39191040\", alpha=\"0.08\", expect_size=\"15676416\"] \n  1 -> 3 [size =\"15676416\"]\n  1 -> 4 [size =\"15676416\"]\n  2 [size=\"128174080\", alpha=\"0.15\", expect_size=\"51269632\"] \n  2 -> 3 [size =\"51269632\"]\n  2 -> 4 [size =\"51269632\"]\n  3 [size=\"33082880\", alpha=\"0.12\", expect_size=\"13233152\"] \n  3 -> 6 [size =\"13233152\"]\n  4 [size=\"39782400\", alpha=\"0.04\", expect_size=\"15912960\"] \n  4 -> 5 [size =\"15912960\"]\n  4 -> 6 [size =\"15912960\"]\n  5 [size=\"106155520\", alpha=\"0.10\", expect_size=\"42462208\"] \n  5 -> 7 [size =\"42462208\"]\n  6 [size=\"102192640\", alpha=\"0.04\", expect_size=\"40877056\"] \n  6 -> 7 [size =\"40877056\"]\n  7 [size=\"118725120\", alpha=\"0.10\", expect_size=\"47490048\"] \n  7 -> 8 [size =\"47490048\"]\n  7 -> 9 [size =\"47490048\"]\n  8 [size=\"72465920\", alpha=\"0.18\", expect_size=\"28986368\"] \n  8 -> 10 [size =\"28986368\"]\n  9 [size=\"85521920\", alpha=\"0.13\", expect_size=\"34208768\"] \n  9 -> 10 [size =\"34208768\"]\n  10 [size=\"80491520\", alpha=\"0.02\", expect_size=\"32196608\"] \n  10 -> 11 [size =\"32196608\"]\n  10 -> 12 [size =\"32196608\"]\n  11 [size=\"128442880\", alpha=\"0.00\", expect_size=\"51377152\"] \n  11 -> 13 [size =\"51377152\"]\n  11 -> 14 [size =\"51377152\"]\n  12 [size=\"56750080\", alpha=\"0.02\", expect_size=\"22700032\"] \n  12 -> 13 [size =\"22700032\"]\n  12 -> 14 [size =\"22700032\"]\n  13 [size=\"27107840\", alpha=\"0.17\", expect_size=\"10843136\"] \n  14 [size=\"100823040\", alpha=\"0.06\", expect_size=\"40329216\"] \n  14 -> 15 [size =\"40329216\"]\n  15 [size=\"122270720\", alpha=\"0.01\", expect_size=\"48908288\"] \n  15 -> 16 [size =\"48908288\"]\n  16 [size=\"63854080\", alpha=\"0.13\", expect_size=\"25541632\"] \n  16 -> 17 [size =\"25541632\"]\n  16 -> 18 [size =\"25541632\"]\n  17 [size=\"88296960\", alpha=\"0.03\", expect_size=\"35318784\"] \n  18 [size=\"30000640\", alpha=\"0.06\", expect_size=\"12000256\"] \n  18 -> 19 [size =\"12000256\"]\n  18 -> 20 [size =\"12000256\"]\n  19 [size=\"18017280\", alpha=\"0.03\", expect_size=\"7206912\"] \n  19 -> 21 [size =\"7206912\"]\n  19 -> 22 [size =\"7206912\"]\n  20 [size=\"93017600\", alpha=\"0.11\", expect_size=\"37207040\"] \n  20 -> 21 [size =\"37207040\"]\n  20 -> 22 [size =\"37207040\"]\n  21 [size=\"106880000\", alpha=\"0.02\", expect_size=\"42752000\"] \n  21 -> 23 [size =\"42752000\"]\n  22 [size=\"107499520\", alpha=\"0.14\", expect_size=\"42999808\"] \n  22 -> 23 [size =\"42999808\"]\n  23 [size=\"118858240\", alpha=\"0.08\", expect_size=\"47543296\"] \n  23 -> 24 [size =\"47543296\"]\n  24 [size=\"98946560\", alpha=\"0.08\", expect_size=\"39578624\"] \n  24 -> 25 [size =\"39578624\"]\n  25 [size=\"16483840\", alpha=\"0.03\", expect_size=\"6593536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18807467\", alpha=\"0.15\", expect_size=\"5642240\"] \n  1 -> 5 [size =\"5642240\"]\n  1 -> 6 [size =\"5642240\"]\n  1 -> 7 [size =\"5642240\"]\n  2 [size=\"27999573\", alpha=\"0.12\", expect_size=\"8399872\"] \n  2 -> 4 [size =\"8399872\"]\n  2 -> 6 [size =\"8399872\"]\n  3 [size=\"170315093\", alpha=\"0.02\", expect_size=\"51094528\"] \n  3 -> 4 [size =\"51094528\"]\n  3 -> 5 [size =\"51094528\"]\n  3 -> 7 [size =\"51094528\"]\n  4 [size=\"162853547\", alpha=\"0.06\", expect_size=\"48856064\"] \n  5 [size=\"56040107\", alpha=\"0.12\", expect_size=\"16812032\"] \n  5 -> 8 [size =\"16812032\"]\n  5 -> 10 [size =\"16812032\"]\n  6 [size=\"94276267\", alpha=\"0.04\", expect_size=\"28282880\"] \n  6 -> 9 [size =\"28282880\"]\n  7 [size=\"80783360\", alpha=\"0.10\", expect_size=\"24235008\"] \n  8 [size=\"82428587\", alpha=\"0.14\", expect_size=\"24728576\"] \n  8 -> 11 [size =\"24728576\"]\n  9 [size=\"28160000\", alpha=\"0.09\", expect_size=\"8448000\"] \n  9 -> 13 [size =\"8448000\"]\n  9 -> 14 [size =\"8448000\"]\n  10 [size=\"66614613\", alpha=\"0.06\", expect_size=\"19984384\"] \n  10 -> 12 [size =\"19984384\"]\n  11 [size=\"32409600\", alpha=\"0.02\", expect_size=\"9722880\"] \n  11 -> 16 [size =\"9722880\"]\n  11 -> 17 [size =\"9722880\"]\n  12 [size=\"149241173\", alpha=\"0.07\", expect_size=\"44772352\"] \n  12 -> 15 [size =\"44772352\"]\n  13 [size=\"86637227\", alpha=\"0.04\", expect_size=\"25991168\"] \n  14 [size=\"101109760\", alpha=\"0.19\", expect_size=\"30332928\"] \n  14 -> 17 [size =\"30332928\"]\n  15 [size=\"149626880\", alpha=\"0.07\", expect_size=\"44888064\"] \n  16 [size=\"84561920\", alpha=\"0.19\", expect_size=\"25368576\"] \n  16 -> 18 [size =\"25368576\"]\n  16 -> 19 [size =\"25368576\"]\n  16 -> 20 [size =\"25368576\"]\n  17 [size=\"115787093\", alpha=\"0.11\", expect_size=\"34736128\"] \n  17 -> 18 [size =\"34736128\"]\n  17 -> 20 [size =\"34736128\"]\n  18 [size=\"35655680\", alpha=\"0.16\", expect_size=\"10696704\"] \n  18 -> 23 [size =\"10696704\"]\n  19 [size=\"142161920\", alpha=\"0.07\", expect_size=\"42648576\"] \n  19 -> 21 [size =\"42648576\"]\n  19 -> 22 [size =\"42648576\"]\n  20 [size=\"57490773\", alpha=\"0.03\", expect_size=\"17247232\"] \n  20 -> 24 [size =\"17247232\"]\n  21 [size=\"104130560\", alpha=\"0.20\", expect_size=\"31239168\"] \n  22 [size=\"117111467\", alpha=\"0.18\", expect_size=\"35133440\"] \n  23 [size=\"172100267\", alpha=\"0.15\", expect_size=\"51630080\"] \n  24 [size=\"43735040\", alpha=\"0.10\", expect_size=\"13120512\"] \n  24 -> 25 [size =\"13120512\"]\n  25 [size=\"39451307\", alpha=\"0.11\", expect_size=\"11835392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102115840\", alpha=\"0.09\", expect_size=\"40846336\"] \n  1 -> 2 [size =\"40846336\"]\n  1 -> 3 [size =\"40846336\"]\n  2 [size=\"33902080\", alpha=\"0.18\", expect_size=\"13560832\"] \n  2 -> 4 [size =\"13560832\"]\n  2 -> 5 [size =\"13560832\"]\n  3 [size=\"69578240\", alpha=\"0.05\", expect_size=\"27831296\"] \n  3 -> 5 [size =\"27831296\"]\n  4 [size=\"20008960\", alpha=\"0.07\", expect_size=\"8003584\"] \n  4 -> 6 [size =\"8003584\"]\n  5 [size=\"128896000\", alpha=\"0.11\", expect_size=\"51558400\"] \n  6 [size=\"70855680\", alpha=\"0.11\", expect_size=\"28342272\"] \n  6 -> 7 [size =\"28342272\"]\n  7 [size=\"60989440\", alpha=\"0.13\", expect_size=\"24395776\"] \n  7 -> 8 [size =\"24395776\"]\n  8 [size=\"82923520\", alpha=\"0.10\", expect_size=\"33169408\"] \n  8 -> 9 [size =\"33169408\"]\n  8 -> 10 [size =\"33169408\"]\n  9 [size=\"38033920\", alpha=\"0.16\", expect_size=\"15213568\"] \n  10 [size=\"25167360\", alpha=\"0.10\", expect_size=\"10066944\"] \n  10 -> 11 [size =\"10066944\"]\n  10 -> 12 [size =\"10066944\"]\n  11 [size=\"19916800\", alpha=\"0.19\", expect_size=\"7966720\"] \n  12 [size=\"73451520\", alpha=\"0.12\", expect_size=\"29380608\"] \n  12 -> 13 [size =\"29380608\"]\n  12 -> 14 [size =\"29380608\"]\n  13 [size=\"60656640\", alpha=\"0.12\", expect_size=\"24262656\"] \n  13 -> 15 [size =\"24262656\"]\n  14 [size=\"88140800\", alpha=\"0.15\", expect_size=\"35256320\"] \n  14 -> 15 [size =\"35256320\"]\n  14 -> 16 [size =\"35256320\"]\n  15 [size=\"126548480\", alpha=\"0.09\", expect_size=\"50619392\"] \n  15 -> 17 [size =\"50619392\"]\n  16 [size=\"72939520\", alpha=\"0.11\", expect_size=\"29175808\"] \n  16 -> 17 [size =\"29175808\"]\n  17 [size=\"17308160\", alpha=\"0.01\", expect_size=\"6923264\"] \n  17 -> 18 [size =\"6923264\"]\n  17 -> 19 [size =\"6923264\"]\n  18 [size=\"93173760\", alpha=\"0.02\", expect_size=\"37269504\"] \n  18 -> 20 [size =\"37269504\"]\n  18 -> 21 [size =\"37269504\"]\n  19 [size=\"36354560\", alpha=\"0.03\", expect_size=\"14541824\"] \n  19 -> 20 [size =\"14541824\"]\n  20 [size=\"128752640\", alpha=\"0.15\", expect_size=\"51501056\"] \n  20 -> 22 [size =\"51501056\"]\n  21 [size=\"68904960\", alpha=\"0.02\", expect_size=\"27561984\"] \n  21 -> 23 [size =\"27561984\"]\n  22 [size=\"63306240\", alpha=\"0.13\", expect_size=\"25322496\"] \n  22 -> 24 [size =\"25322496\"]\n  22 -> 25 [size =\"25322496\"]\n  23 [size=\"14958080\", alpha=\"0.13\", expect_size=\"5983232\"] \n  24 [size=\"84385280\", alpha=\"0.14\", expect_size=\"33754112\"] \n  25 [size=\"55265280\", alpha=\"0.15\", expect_size=\"22106112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99324587\", alpha=\"0.10\", expect_size=\"29797376\"] \n  1 -> 22 [size =\"29797376\"]\n  1 -> 23 [size =\"29797376\"]\n  1 -> 25 [size =\"29797376\"]\n  2 [size=\"115968000\", alpha=\"0.19\", expect_size=\"34790400\"] \n  2 -> 20 [size =\"34790400\"]\n  2 -> 22 [size =\"34790400\"]\n  2 -> 25 [size =\"34790400\"]\n  3 [size=\"132123307\", alpha=\"0.16\", expect_size=\"39636992\"] \n  3 -> 20 [size =\"39636992\"]\n  3 -> 24 [size =\"39636992\"]\n  3 -> 25 [size =\"39636992\"]\n  4 [size=\"129631573\", alpha=\"0.06\", expect_size=\"38889472\"] \n  4 -> 20 [size =\"38889472\"]\n  5 [size=\"86190080\", alpha=\"0.06\", expect_size=\"25857024\"] \n  5 -> 21 [size =\"25857024\"]\n  5 -> 22 [size =\"25857024\"]\n  5 -> 24 [size =\"25857024\"]\n  6 [size=\"93033813\", alpha=\"0.19\", expect_size=\"27910144\"] \n  6 -> 19 [size =\"27910144\"]\n  6 -> 21 [size =\"27910144\"]\n  7 [size=\"22838613\", alpha=\"0.08\", expect_size=\"6851584\"] \n  7 -> 20 [size =\"6851584\"]\n  7 -> 21 [size =\"6851584\"]\n  7 -> 23 [size =\"6851584\"]\n  7 -> 25 [size =\"6851584\"]\n  8 [size=\"170482347\", alpha=\"0.02\", expect_size=\"51144704\"] \n  8 -> 20 [size =\"51144704\"]\n  8 -> 22 [size =\"51144704\"]\n  8 -> 23 [size =\"51144704\"]\n  9 [size=\"55592960\", alpha=\"0.07\", expect_size=\"16677888\"] \n  9 -> 20 [size =\"16677888\"]\n  9 -> 21 [size =\"16677888\"]\n  9 -> 22 [size =\"16677888\"]\n  9 -> 23 [size =\"16677888\"]\n  10 [size=\"122866347\", alpha=\"0.20\", expect_size=\"36859904\"] \n  10 -> 22 [size =\"36859904\"]\n  10 -> 23 [size =\"36859904\"]\n  11 [size=\"171376640\", alpha=\"0.11\", expect_size=\"51412992\"] \n  11 -> 20 [size =\"51412992\"]\n  11 -> 23 [size =\"51412992\"]\n  12 [size=\"89903787\", alpha=\"0.16\", expect_size=\"26971136\"] \n  12 -> 20 [size =\"26971136\"]\n  12 -> 21 [size =\"26971136\"]\n  12 -> 23 [size =\"26971136\"]\n  13 [size=\"84285440\", alpha=\"0.09\", expect_size=\"25285632\"] \n  13 -> 20 [size =\"25285632\"]\n  14 [size=\"50083840\", alpha=\"0.06\", expect_size=\"15025152\"] \n  14 -> 21 [size =\"15025152\"]\n  15 [size=\"99031040\", alpha=\"0.10\", expect_size=\"29709312\"] \n  15 -> 20 [size =\"29709312\"]\n  15 -> 21 [size =\"29709312\"]\n  15 -> 23 [size =\"29709312\"]\n  16 [size=\"149490347\", alpha=\"0.01\", expect_size=\"44847104\"] \n  16 -> 20 [size =\"44847104\"]\n  17 [size=\"142940160\", alpha=\"0.03\", expect_size=\"42882048\"] \n  17 -> 20 [size =\"42882048\"]\n  17 -> 23 [size =\"42882048\"]\n  17 -> 25 [size =\"42882048\"]\n  18 [size=\"48605867\", alpha=\"0.03\", expect_size=\"14581760\"] \n  18 -> 22 [size =\"14581760\"]\n  18 -> 23 [size =\"14581760\"]\n  18 -> 25 [size =\"14581760\"]\n  19 [size=\"67218773\", alpha=\"0.00\", expect_size=\"20165632\"] \n  20 [size=\"124310187\", alpha=\"0.04\", expect_size=\"37293056\"] \n  21 [size=\"121552213\", alpha=\"0.19\", expect_size=\"36465664\"] \n  22 [size=\"50216960\", alpha=\"0.06\", expect_size=\"15065088\"] \n  23 [size=\"22528000\", alpha=\"0.08\", expect_size=\"6758400\"] \n  24 [size=\"92788053\", alpha=\"0.04\", expect_size=\"27836416\"] \n  25 [size=\"142561280\", alpha=\"0.09\", expect_size=\"42768384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19353600\", alpha=\"0.16\", expect_size=\"7741440\"] \n  1 -> 5 [size =\"7741440\"]\n  1 -> 7 [size =\"7741440\"]\n  2 [size=\"107496960\", alpha=\"0.13\", expect_size=\"42998784\"] \n  2 -> 6 [size =\"42998784\"]\n  2 -> 7 [size =\"42998784\"]\n  3 [size=\"120875520\", alpha=\"0.12\", expect_size=\"48350208\"] \n  3 -> 4 [size =\"48350208\"]\n  4 [size=\"34703360\", alpha=\"0.09\", expect_size=\"13881344\"] \n  4 -> 9 [size =\"13881344\"]\n  5 [size=\"46307840\", alpha=\"0.14\", expect_size=\"18523136\"] \n  5 -> 8 [size =\"18523136\"]\n  5 -> 10 [size =\"18523136\"]\n  6 [size=\"108160000\", alpha=\"0.09\", expect_size=\"43264000\"] \n  6 -> 9 [size =\"43264000\"]\n  7 [size=\"22254080\", alpha=\"0.05\", expect_size=\"8901632\"] \n  7 -> 8 [size =\"8901632\"]\n  7 -> 9 [size =\"8901632\"]\n  8 [size=\"18938880\", alpha=\"0.09\", expect_size=\"7575552\"] \n  8 -> 12 [size =\"7575552\"]\n  9 [size=\"58718720\", alpha=\"0.11\", expect_size=\"23487488\"] \n  9 -> 11 [size =\"23487488\"]\n  10 [size=\"82941440\", alpha=\"0.03\", expect_size=\"33176576\"] \n  10 -> 11 [size =\"33176576\"]\n  10 -> 13 [size =\"33176576\"]\n  11 [size=\"24066560\", alpha=\"0.10\", expect_size=\"9626624\"] \n  11 -> 14 [size =\"9626624\"]\n  11 -> 15 [size =\"9626624\"]\n  11 -> 16 [size =\"9626624\"]\n  12 [size=\"117685760\", alpha=\"0.00\", expect_size=\"47074304\"] \n  12 -> 15 [size =\"47074304\"]\n  12 -> 17 [size =\"47074304\"]\n  13 [size=\"79242240\", alpha=\"0.19\", expect_size=\"31696896\"] \n  14 [size=\"30950400\", alpha=\"0.19\", expect_size=\"12380160\"] \n  14 -> 18 [size =\"12380160\"]\n  14 -> 20 [size =\"12380160\"]\n  14 -> 21 [size =\"12380160\"]\n  15 [size=\"83584000\", alpha=\"0.02\", expect_size=\"33433600\"] \n  16 [size=\"47242240\", alpha=\"0.06\", expect_size=\"18896896\"] \n  17 [size=\"102942720\", alpha=\"0.19\", expect_size=\"41177088\"] \n  17 -> 18 [size =\"41177088\"]\n  17 -> 19 [size =\"41177088\"]\n  17 -> 20 [size =\"41177088\"]\n  18 [size=\"15360000\", alpha=\"0.05\", expect_size=\"6144000\"] \n  18 -> 24 [size =\"6144000\"]\n  19 [size=\"67962880\", alpha=\"0.04\", expect_size=\"27185152\"] \n  19 -> 24 [size =\"27185152\"]\n  20 [size=\"17313280\", alpha=\"0.19\", expect_size=\"6925312\"] \n  20 -> 23 [size =\"6925312\"]\n  20 -> 24 [size =\"6925312\"]\n  20 -> 25 [size =\"6925312\"]\n  21 [size=\"33484800\", alpha=\"0.16\", expect_size=\"13393920\"] \n  21 -> 22 [size =\"13393920\"]\n  21 -> 25 [size =\"13393920\"]\n  22 [size=\"89538560\", alpha=\"0.08\", expect_size=\"35815424\"] \n  23 [size=\"90680320\", alpha=\"0.19\", expect_size=\"36272128\"] \n  24 [size=\"82032640\", alpha=\"0.13\", expect_size=\"32813056\"] \n  25 [size=\"73991680\", alpha=\"0.13\", expect_size=\"29596672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18255360\", alpha=\"0.03\", expect_size=\"7302144\"] \n  1 -> 2 [size =\"7302144\"]\n  2 [size=\"41784320\", alpha=\"0.14\", expect_size=\"16713728\"] \n  2 -> 3 [size =\"16713728\"]\n  3 [size=\"107284480\", alpha=\"0.18\", expect_size=\"42913792\"] \n  3 -> 4 [size =\"42913792\"]\n  4 [size=\"30266880\", alpha=\"0.09\", expect_size=\"12106752\"] \n  4 -> 5 [size =\"12106752\"]\n  5 [size=\"56788480\", alpha=\"0.18\", expect_size=\"22715392\"] \n  5 -> 6 [size =\"22715392\"]\n  6 [size=\"52692480\", alpha=\"0.15\", expect_size=\"21076992\"] \n  6 -> 7 [size =\"21076992\"]\n  7 [size=\"109268480\", alpha=\"0.13\", expect_size=\"43707392\"] \n  7 -> 8 [size =\"43707392\"]\n  8 [size=\"51875840\", alpha=\"0.04\", expect_size=\"20750336\"] \n  8 -> 9 [size =\"20750336\"]\n  9 [size=\"91655680\", alpha=\"0.10\", expect_size=\"36662272\"] \n  9 -> 10 [size =\"36662272\"]\n  10 [size=\"127774720\", alpha=\"0.10\", expect_size=\"51109888\"] \n  10 -> 11 [size =\"51109888\"]\n  11 [size=\"120542720\", alpha=\"0.11\", expect_size=\"48217088\"] \n  11 -> 12 [size =\"48217088\"]\n  12 [size=\"21181440\", alpha=\"0.10\", expect_size=\"8472576\"] \n  12 -> 13 [size =\"8472576\"]\n  13 [size=\"102504960\", alpha=\"0.08\", expect_size=\"41001984\"] \n  13 -> 14 [size =\"41001984\"]\n  14 [size=\"93312000\", alpha=\"0.00\", expect_size=\"37324800\"] \n  14 -> 15 [size =\"37324800\"]\n  15 [size=\"26490880\", alpha=\"0.15\", expect_size=\"10596352\"] \n  15 -> 16 [size =\"10596352\"]\n  16 [size=\"13122560\", alpha=\"0.17\", expect_size=\"5249024\"] \n  16 -> 17 [size =\"5249024\"]\n  17 [size=\"101585920\", alpha=\"0.19\", expect_size=\"40634368\"] \n  17 -> 18 [size =\"40634368\"]\n  18 [size=\"61027840\", alpha=\"0.02\", expect_size=\"24411136\"] \n  18 -> 19 [size =\"24411136\"]\n  19 [size=\"84277760\", alpha=\"0.18\", expect_size=\"33711104\"] \n  19 -> 20 [size =\"33711104\"]\n  20 [size=\"28198400\", alpha=\"0.07\", expect_size=\"11279360\"] \n  20 -> 21 [size =\"11279360\"]\n  21 [size=\"85591040\", alpha=\"0.18\", expect_size=\"34236416\"] \n  21 -> 22 [size =\"34236416\"]\n  22 [size=\"35269120\", alpha=\"0.13\", expect_size=\"14107648\"] \n  22 -> 23 [size =\"14107648\"]\n  23 [size=\"94876160\", alpha=\"0.05\", expect_size=\"37950464\"] \n  23 -> 24 [size =\"37950464\"]\n  24 [size=\"24000000\", alpha=\"0.19\", expect_size=\"9600000\"] \n  24 -> 25 [size =\"9600000\"]\n  25 [size=\"25495040\", alpha=\"0.01\", expect_size=\"10198016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132369067\", alpha=\"0.13\", expect_size=\"39710720\"] \n  1 -> 9 [size =\"39710720\"]\n  1 -> 16 [size =\"39710720\"]\n  2 [size=\"116114773\", alpha=\"0.01\", expect_size=\"34834432\"] \n  2 -> 11 [size =\"34834432\"]\n  2 -> 16 [size =\"34834432\"]\n  2 -> 17 [size =\"34834432\"]\n  3 [size=\"165372587\", alpha=\"0.16\", expect_size=\"49611776\"] \n  3 -> 12 [size =\"49611776\"]\n  3 -> 16 [size =\"49611776\"]\n  3 -> 17 [size =\"49611776\"]\n  4 [size=\"106202453\", alpha=\"0.08\", expect_size=\"31860736\"] \n  4 -> 10 [size =\"31860736\"]\n  4 -> 15 [size =\"31860736\"]\n  4 -> 16 [size =\"31860736\"]\n  4 -> 17 [size =\"31860736\"]\n  4 -> 18 [size =\"31860736\"]\n  5 [size=\"78742187\", alpha=\"0.09\", expect_size=\"23622656\"] \n  5 -> 10 [size =\"23622656\"]\n  5 -> 13 [size =\"23622656\"]\n  5 -> 15 [size =\"23622656\"]\n  5 -> 17 [size =\"23622656\"]\n  6 [size=\"26719573\", alpha=\"0.00\", expect_size=\"8015872\"] \n  6 -> 12 [size =\"8015872\"]\n  6 -> 13 [size =\"8015872\"]\n  6 -> 15 [size =\"8015872\"]\n  6 -> 18 [size =\"8015872\"]\n  7 [size=\"39710720\", alpha=\"0.19\", expect_size=\"11913216\"] \n  7 -> 8 [size =\"11913216\"]\n  7 -> 10 [size =\"11913216\"]\n  7 -> 12 [size =\"11913216\"]\n  7 -> 13 [size =\"11913216\"]\n  7 -> 14 [size =\"11913216\"]\n  7 -> 15 [size =\"11913216\"]\n  8 [size=\"168506027\", alpha=\"0.01\", expect_size=\"50551808\"] \n  8 -> 19 [size =\"50551808\"]\n  9 [size=\"142260907\", alpha=\"0.10\", expect_size=\"42678272\"] \n  9 -> 23 [size =\"42678272\"]\n  9 -> 24 [size =\"42678272\"]\n  9 -> 25 [size =\"42678272\"]\n  10 [size=\"132833280\", alpha=\"0.08\", expect_size=\"39849984\"] \n  10 -> 24 [size =\"39849984\"]\n  10 -> 25 [size =\"39849984\"]\n  11 [size=\"115206827\", alpha=\"0.01\", expect_size=\"34562048\"] \n  11 -> 19 [size =\"34562048\"]\n  11 -> 20 [size =\"34562048\"]\n  11 -> 22 [size =\"34562048\"]\n  11 -> 24 [size =\"34562048\"]\n  11 -> 25 [size =\"34562048\"]\n  12 [size=\"56541867\", alpha=\"0.01\", expect_size=\"16962560\"] \n  12 -> 19 [size =\"16962560\"]\n  13 [size=\"63928320\", alpha=\"0.04\", expect_size=\"19178496\"] \n  14 [size=\"34734080\", alpha=\"0.11\", expect_size=\"10420224\"] \n  14 -> 20 [size =\"10420224\"]\n  14 -> 22 [size =\"10420224\"]\n  14 -> 23 [size =\"10420224\"]\n  14 -> 24 [size =\"10420224\"]\n  15 [size=\"99908267\", alpha=\"0.17\", expect_size=\"29972480\"] \n  15 -> 19 [size =\"29972480\"]\n  15 -> 21 [size =\"29972480\"]\n  15 -> 24 [size =\"29972480\"]\n  15 -> 24 [size =\"29972480\"]\n  16 [size=\"167355733\", alpha=\"0.08\", expect_size=\"50206720\"] \n  16 -> 19 [size =\"50206720\"]\n  17 [size=\"168352427\", alpha=\"0.11\", expect_size=\"50505728\"] \n  17 -> 19 [size =\"50505728\"]\n  18 [size=\"163157333\", alpha=\"0.04\", expect_size=\"48947200\"] \n  19 [size=\"169656320\", alpha=\"0.07\", expect_size=\"50896896\"] \n  20 [size=\"91443200\", alpha=\"0.16\", expect_size=\"27432960\"] \n  21 [size=\"155630933\", alpha=\"0.20\", expect_size=\"46689280\"] \n  22 [size=\"162925227\", alpha=\"0.15\", expect_size=\"48877568\"] \n  23 [size=\"169338880\", alpha=\"0.10\", expect_size=\"50801664\"] \n  24 [size=\"40823467\", alpha=\"0.16\", expect_size=\"12247040\"] \n  25 [size=\"125429760\", alpha=\"0.10\", expect_size=\"37628928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63590400\", alpha=\"0.17\", expect_size=\"31795200\"] \n  1 -> 4 [size =\"31795200\"]\n  1 -> 6 [size =\"31795200\"]\n  1 -> 7 [size =\"31795200\"]\n  2 [size=\"75149312\", alpha=\"0.12\", expect_size=\"37574656\"] \n  2 -> 4 [size =\"37574656\"]\n  2 -> 6 [size =\"37574656\"]\n  2 -> 7 [size =\"37574656\"]\n  3 [size=\"94201856\", alpha=\"0.08\", expect_size=\"47100928\"] \n  3 -> 4 [size =\"47100928\"]\n  3 -> 5 [size =\"47100928\"]\n  3 -> 6 [size =\"47100928\"]\n  3 -> 7 [size =\"47100928\"]\n  4 [size=\"16740352\", alpha=\"0.19\", expect_size=\"8370176\"] \n  4 -> 8 [size =\"8370176\"]\n  4 -> 9 [size =\"8370176\"]\n  4 -> 10 [size =\"8370176\"]\n  5 [size=\"101851136\", alpha=\"0.12\", expect_size=\"50925568\"] \n  5 -> 8 [size =\"50925568\"]\n  5 -> 9 [size =\"50925568\"]\n  6 [size=\"29253632\", alpha=\"0.20\", expect_size=\"14626816\"] \n  6 -> 8 [size =\"14626816\"]\n  6 -> 9 [size =\"14626816\"]\n  7 [size=\"104818688\", alpha=\"0.08\", expect_size=\"52409344\"] \n  8 [size=\"15286272\", alpha=\"0.14\", expect_size=\"7643136\"] \n  8 -> 11 [size =\"7643136\"]\n  9 [size=\"89442304\", alpha=\"0.03\", expect_size=\"44721152\"] \n  9 -> 11 [size =\"44721152\"]\n  9 -> 12 [size =\"44721152\"]\n  10 [size=\"97452032\", alpha=\"0.12\", expect_size=\"48726016\"] \n  10 -> 11 [size =\"48726016\"]\n  10 -> 12 [size =\"48726016\"]\n  10 -> 13 [size =\"48726016\"]\n  11 [size=\"72249344\", alpha=\"0.15\", expect_size=\"36124672\"] \n  11 -> 14 [size =\"36124672\"]\n  11 -> 16 [size =\"36124672\"]\n  12 [size=\"56934400\", alpha=\"0.01\", expect_size=\"28467200\"] \n  12 -> 14 [size =\"28467200\"]\n  12 -> 15 [size =\"28467200\"]\n  12 -> 16 [size =\"28467200\"]\n  13 [size=\"21082112\", alpha=\"0.19\", expect_size=\"10541056\"] \n  13 -> 14 [size =\"10541056\"]\n  13 -> 16 [size =\"10541056\"]\n  14 [size=\"59648000\", alpha=\"0.04\", expect_size=\"29824000\"] \n  14 -> 17 [size =\"29824000\"]\n  14 -> 18 [size =\"29824000\"]\n  15 [size=\"52828160\", alpha=\"0.02\", expect_size=\"26414080\"] \n  15 -> 17 [size =\"26414080\"]\n  15 -> 18 [size =\"26414080\"]\n  15 -> 19 [size =\"26414080\"]\n  16 [size=\"16556032\", alpha=\"0.10\", expect_size=\"8278016\"] \n  16 -> 17 [size =\"8278016\"]\n  16 -> 18 [size =\"8278016\"]\n  16 -> 19 [size =\"8278016\"]\n  17 [size=\"15902720\", alpha=\"0.01\", expect_size=\"7951360\"] \n  17 -> 20 [size =\"7951360\"]\n  17 -> 22 [size =\"7951360\"]\n  18 [size=\"55312384\", alpha=\"0.19\", expect_size=\"27656192\"] \n  18 -> 20 [size =\"27656192\"]\n  18 -> 22 [size =\"27656192\"]\n  19 [size=\"25866240\", alpha=\"0.04\", expect_size=\"12933120\"] \n  19 -> 20 [size =\"12933120\"]\n  19 -> 21 [size =\"12933120\"]\n  19 -> 22 [size =\"12933120\"]\n  20 [size=\"42240000\", alpha=\"0.18\", expect_size=\"21120000\"] \n  20 -> 23 [size =\"21120000\"]\n  20 -> 25 [size =\"21120000\"]\n  21 [size=\"100597760\", alpha=\"0.04\", expect_size=\"50298880\"] \n  21 -> 23 [size =\"50298880\"]\n  21 -> 25 [size =\"50298880\"]\n  22 [size=\"77084672\", alpha=\"0.03\", expect_size=\"38542336\"] \n  22 -> 23 [size =\"38542336\"]\n  22 -> 24 [size =\"38542336\"]\n  22 -> 25 [size =\"38542336\"]\n  23 [size=\"79980544\", alpha=\"0.20\", expect_size=\"39990272\"] \n  24 [size=\"76283904\", alpha=\"0.18\", expect_size=\"38141952\"] \n  25 [size=\"93429760\", alpha=\"0.15\", expect_size=\"46714880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45286400\", alpha=\"0.12\", expect_size=\"18114560\"] \n  1 -> 3 [size =\"18114560\"]\n  2 [size=\"101862400\", alpha=\"0.00\", expect_size=\"40744960\"] \n  3 [size=\"74721280\", alpha=\"0.17\", expect_size=\"29888512\"] \n  3 -> 4 [size =\"29888512\"]\n  4 [size=\"66516480\", alpha=\"0.19\", expect_size=\"26606592\"] \n  4 -> 5 [size =\"26606592\"]\n  5 [size=\"84316160\", alpha=\"0.03\", expect_size=\"33726464\"] \n  5 -> 6 [size =\"33726464\"]\n  6 [size=\"82780160\", alpha=\"0.12\", expect_size=\"33112064\"] \n  6 -> 7 [size =\"33112064\"]\n  7 [size=\"97582080\", alpha=\"0.20\", expect_size=\"39032832\"] \n  7 -> 8 [size =\"39032832\"]\n  8 [size=\"117230080\", alpha=\"0.13\", expect_size=\"46892032\"] \n  8 -> 9 [size =\"46892032\"]\n  8 -> 10 [size =\"46892032\"]\n  9 [size=\"93788160\", alpha=\"0.03\", expect_size=\"37515264\"] \n  9 -> 11 [size =\"37515264\"]\n  9 -> 12 [size =\"37515264\"]\n  10 [size=\"44454400\", alpha=\"0.01\", expect_size=\"17781760\"] \n  11 [size=\"26595840\", alpha=\"0.03\", expect_size=\"10638336\"] \n  12 [size=\"98124800\", alpha=\"0.15\", expect_size=\"39249920\"] \n  12 -> 13 [size =\"39249920\"]\n  12 -> 14 [size =\"39249920\"]\n  13 [size=\"100369920\", alpha=\"0.04\", expect_size=\"40147968\"] \n  14 [size=\"82969600\", alpha=\"0.12\", expect_size=\"33187840\"] \n  14 -> 15 [size =\"33187840\"]\n  15 [size=\"75246080\", alpha=\"0.06\", expect_size=\"30098432\"] \n  15 -> 16 [size =\"30098432\"]\n  15 -> 17 [size =\"30098432\"]\n  16 [size=\"92646400\", alpha=\"0.02\", expect_size=\"37058560\"] \n  16 -> 18 [size =\"37058560\"]\n  17 [size=\"44247040\", alpha=\"0.06\", expect_size=\"17698816\"] \n  17 -> 19 [size =\"17698816\"]\n  18 [size=\"42260480\", alpha=\"0.08\", expect_size=\"16904192\"] \n  18 -> 20 [size =\"16904192\"]\n  19 [size=\"119726080\", alpha=\"0.16\", expect_size=\"47890432\"] \n  19 -> 21 [size =\"47890432\"]\n  20 [size=\"21291520\", alpha=\"0.19\", expect_size=\"8516608\"] \n  21 [size=\"25520640\", alpha=\"0.08\", expect_size=\"10208256\"] \n  21 -> 22 [size =\"10208256\"]\n  21 -> 23 [size =\"10208256\"]\n  22 [size=\"40957440\", alpha=\"0.11\", expect_size=\"16382976\"] \n  22 -> 25 [size =\"16382976\"]\n  23 [size=\"128737280\", alpha=\"0.05\", expect_size=\"51494912\"] \n  23 -> 24 [size =\"51494912\"]\n  24 [size=\"32698880\", alpha=\"0.08\", expect_size=\"13079552\"] \n  25 [size=\"104186880\", alpha=\"0.04\", expect_size=\"41674752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162607787\", alpha=\"0.10\", expect_size=\"48782336\"] \n  1 -> 5 [size =\"48782336\"]\n  1 -> 7 [size =\"48782336\"]\n  1 -> 9 [size =\"48782336\"]\n  2 [size=\"78373547\", alpha=\"0.08\", expect_size=\"23512064\"] \n  2 -> 5 [size =\"23512064\"]\n  2 -> 6 [size =\"23512064\"]\n  3 [size=\"71116800\", alpha=\"0.06\", expect_size=\"21335040\"] \n  3 -> 8 [size =\"21335040\"]\n  4 [size=\"41335467\", alpha=\"0.00\", expect_size=\"12400640\"] \n  4 -> 7 [size =\"12400640\"]\n  4 -> 8 [size =\"12400640\"]\n  4 -> 9 [size =\"12400640\"]\n  5 [size=\"32406187\", alpha=\"0.03\", expect_size=\"9721856\"] \n  5 -> 10 [size =\"9721856\"]\n  5 -> 11 [size =\"9721856\"]\n  6 [size=\"166990507\", alpha=\"0.17\", expect_size=\"50097152\"] \n  6 -> 10 [size =\"50097152\"]\n  6 -> 13 [size =\"50097152\"]\n  7 [size=\"86452907\", alpha=\"0.17\", expect_size=\"25935872\"] \n  8 [size=\"68010667\", alpha=\"0.18\", expect_size=\"20403200\"] \n  9 [size=\"22418773\", alpha=\"0.09\", expect_size=\"6725632\"] \n  9 -> 10 [size =\"6725632\"]\n  9 -> 11 [size =\"6725632\"]\n  9 -> 12 [size =\"6725632\"]\n  9 -> 13 [size =\"6725632\"]\n  10 [size=\"65406293\", alpha=\"0.16\", expect_size=\"19621888\"] \n  10 -> 14 [size =\"19621888\"]\n  11 [size=\"49315840\", alpha=\"0.12\", expect_size=\"14794752\"] \n  11 -> 15 [size =\"14794752\"]\n  11 -> 16 [size =\"14794752\"]\n  12 [size=\"125044053\", alpha=\"0.19\", expect_size=\"37513216\"] \n  12 -> 14 [size =\"37513216\"]\n  12 -> 15 [size =\"37513216\"]\n  13 [size=\"30252373\", alpha=\"0.06\", expect_size=\"9075712\"] \n  14 [size=\"74803200\", alpha=\"0.19\", expect_size=\"22440960\"] \n  14 -> 17 [size =\"22440960\"]\n  14 -> 18 [size =\"22440960\"]\n  15 [size=\"76564480\", alpha=\"0.15\", expect_size=\"22969344\"] \n  16 [size=\"100065280\", alpha=\"0.09\", expect_size=\"30019584\"] \n  16 -> 19 [size =\"30019584\"]\n  17 [size=\"74554027\", alpha=\"0.16\", expect_size=\"22366208\"] \n  17 -> 22 [size =\"22366208\"]\n  18 [size=\"51988480\", alpha=\"0.03\", expect_size=\"15596544\"] \n  18 -> 20 [size =\"15596544\"]\n  18 -> 21 [size =\"15596544\"]\n  18 -> 22 [size =\"15596544\"]\n  19 [size=\"38833493\", alpha=\"0.09\", expect_size=\"11650048\"] \n  19 -> 20 [size =\"11650048\"]\n  19 -> 21 [size =\"11650048\"]\n  20 [size=\"112868693\", alpha=\"0.01\", expect_size=\"33860608\"] \n  20 -> 24 [size =\"33860608\"]\n  20 -> 25 [size =\"33860608\"]\n  21 [size=\"83592533\", alpha=\"0.12\", expect_size=\"25077760\"] \n  22 [size=\"21930667\", alpha=\"0.10\", expect_size=\"6579200\"] \n  22 -> 23 [size =\"6579200\"]\n  23 [size=\"171677013\", alpha=\"0.16\", expect_size=\"51503104\"] \n  24 [size=\"64590507\", alpha=\"0.04\", expect_size=\"19377152\"] \n  25 [size=\"58112000\", alpha=\"0.14\", expect_size=\"17433600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120674987\", alpha=\"0.08\", expect_size=\"36202496\"] \n  2 [size=\"81578667\", alpha=\"0.17\", expect_size=\"24473600\"] \n  2 -> 3 [size =\"24473600\"]\n  3 [size=\"164072107\", alpha=\"0.07\", expect_size=\"49221632\"] \n  3 -> 4 [size =\"49221632\"]\n  4 [size=\"59313493\", alpha=\"0.20\", expect_size=\"17794048\"] \n  4 -> 5 [size =\"17794048\"]\n  4 -> 6 [size =\"17794048\"]\n  5 [size=\"165840213\", alpha=\"0.18\", expect_size=\"49752064\"] \n  5 -> 7 [size =\"49752064\"]\n  6 [size=\"50394453\", alpha=\"0.16\", expect_size=\"15118336\"] \n  6 -> 7 [size =\"15118336\"]\n  7 [size=\"80448853\", alpha=\"0.18\", expect_size=\"24134656\"] \n  7 -> 8 [size =\"24134656\"]\n  7 -> 9 [size =\"24134656\"]\n  8 [size=\"81291947\", alpha=\"0.01\", expect_size=\"24387584\"] \n  8 -> 10 [size =\"24387584\"]\n  9 [size=\"143745707\", alpha=\"0.15\", expect_size=\"43123712\"] \n  10 [size=\"133300907\", alpha=\"0.19\", expect_size=\"39990272\"] \n  10 -> 11 [size =\"39990272\"]\n  11 [size=\"54896640\", alpha=\"0.16\", expect_size=\"16468992\"] \n  11 -> 12 [size =\"16468992\"]\n  12 [size=\"118183253\", alpha=\"0.01\", expect_size=\"35454976\"] \n  12 -> 13 [size =\"35454976\"]\n  13 [size=\"92480853\", alpha=\"0.17\", expect_size=\"27744256\"] \n  13 -> 14 [size =\"27744256\"]\n  14 [size=\"151214080\", alpha=\"0.01\", expect_size=\"45364224\"] \n  14 -> 15 [size =\"45364224\"]\n  14 -> 16 [size =\"45364224\"]\n  15 [size=\"147698347\", alpha=\"0.03\", expect_size=\"44309504\"] \n  15 -> 17 [size =\"44309504\"]\n  15 -> 18 [size =\"44309504\"]\n  16 [size=\"131751253\", alpha=\"0.09\", expect_size=\"39525376\"] \n  16 -> 17 [size =\"39525376\"]\n  16 -> 18 [size =\"39525376\"]\n  17 [size=\"101089280\", alpha=\"0.10\", expect_size=\"30326784\"] \n  17 -> 19 [size =\"30326784\"]\n  17 -> 20 [size =\"30326784\"]\n  18 [size=\"87941120\", alpha=\"0.19\", expect_size=\"26382336\"] \n  18 -> 20 [size =\"26382336\"]\n  19 [size=\"96948907\", alpha=\"0.01\", expect_size=\"29084672\"] \n  19 -> 22 [size =\"29084672\"]\n  20 [size=\"56920747\", alpha=\"0.20\", expect_size=\"17076224\"] \n  20 -> 21 [size =\"17076224\"]\n  21 [size=\"46568107\", alpha=\"0.12\", expect_size=\"13970432\"] \n  21 -> 23 [size =\"13970432\"]\n  22 [size=\"17571840\", alpha=\"0.12\", expect_size=\"5271552\"] \n  22 -> 23 [size =\"5271552\"]\n  23 [size=\"26149547\", alpha=\"0.11\", expect_size=\"7844864\"] \n  23 -> 24 [size =\"7844864\"]\n  23 -> 25 [size =\"7844864\"]\n  24 [size=\"156583253\", alpha=\"0.15\", expect_size=\"46974976\"] \n  25 [size=\"164567040\", alpha=\"0.18\", expect_size=\"49370112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39275520\", alpha=\"0.12\", expect_size=\"15710208\"] \n  1 -> 6 [size =\"15710208\"]\n  1 -> 9 [size =\"15710208\"]\n  1 -> 11 [size =\"15710208\"]\n  1 -> 12 [size =\"15710208\"]\n  1 -> 14 [size =\"15710208\"]\n  2 [size=\"73315840\", alpha=\"0.18\", expect_size=\"29326336\"] \n  2 -> 6 [size =\"29326336\"]\n  2 -> 8 [size =\"29326336\"]\n  2 -> 9 [size =\"29326336\"]\n  2 -> 10 [size =\"29326336\"]\n  2 -> 12 [size =\"29326336\"]\n  3 [size=\"70295040\", alpha=\"0.11\", expect_size=\"28118016\"] \n  3 -> 10 [size =\"28118016\"]\n  3 -> 14 [size =\"28118016\"]\n  4 [size=\"110443520\", alpha=\"0.17\", expect_size=\"44177408\"] \n  4 -> 13 [size =\"44177408\"]\n  5 [size=\"94095360\", alpha=\"0.15\", expect_size=\"37638144\"] \n  5 -> 7 [size =\"37638144\"]\n  5 -> 10 [size =\"37638144\"]\n  5 -> 12 [size =\"37638144\"]\n  5 -> 14 [size =\"37638144\"]\n  6 [size=\"19509760\", alpha=\"0.05\", expect_size=\"7803904\"] \n  6 -> 15 [size =\"7803904\"]\n  6 -> 20 [size =\"7803904\"]\n  7 [size=\"33917440\", alpha=\"0.07\", expect_size=\"13566976\"] \n  7 -> 15 [size =\"13566976\"]\n  8 [size=\"35274240\", alpha=\"0.13\", expect_size=\"14109696\"] \n  8 -> 16 [size =\"14109696\"]\n  8 -> 18 [size =\"14109696\"]\n  9 [size=\"80783360\", alpha=\"0.16\", expect_size=\"32313344\"] \n  9 -> 16 [size =\"32313344\"]\n  9 -> 19 [size =\"32313344\"]\n  10 [size=\"32737280\", alpha=\"0.17\", expect_size=\"13094912\"] \n  10 -> 20 [size =\"13094912\"]\n  11 [size=\"98795520\", alpha=\"0.04\", expect_size=\"39518208\"] \n  11 -> 19 [size =\"39518208\"]\n  11 -> 20 [size =\"39518208\"]\n  12 [size=\"51215360\", alpha=\"0.00\", expect_size=\"20486144\"] \n  12 -> 15 [size =\"20486144\"]\n  12 -> 20 [size =\"20486144\"]\n  13 [size=\"41518080\", alpha=\"0.00\", expect_size=\"16607232\"] \n  13 -> 15 [size =\"16607232\"]\n  13 -> 16 [size =\"16607232\"]\n  13 -> 17 [size =\"16607232\"]\n  13 -> 19 [size =\"16607232\"]\n  14 [size=\"105177600\", alpha=\"0.03\", expect_size=\"42071040\"] \n  14 -> 15 [size =\"42071040\"]\n  14 -> 17 [size =\"42071040\"]\n  14 -> 20 [size =\"42071040\"]\n  15 [size=\"89635840\", alpha=\"0.08\", expect_size=\"35854336\"] \n  15 -> 21 [size =\"35854336\"]\n  16 [size=\"57879040\", alpha=\"0.05\", expect_size=\"23151616\"] \n  16 -> 23 [size =\"23151616\"]\n  17 [size=\"87201280\", alpha=\"0.10\", expect_size=\"34880512\"] \n  17 -> 21 [size =\"34880512\"]\n  17 -> 22 [size =\"34880512\"]\n  17 -> 23 [size =\"34880512\"]\n  18 [size=\"127347200\", alpha=\"0.03\", expect_size=\"50938880\"] \n  18 -> 23 [size =\"50938880\"]\n  18 -> 24 [size =\"50938880\"]\n  19 [size=\"88826880\", alpha=\"0.10\", expect_size=\"35530752\"] \n  19 -> 21 [size =\"35530752\"]\n  19 -> 24 [size =\"35530752\"]\n  20 [size=\"66892800\", alpha=\"0.02\", expect_size=\"26757120\"] \n  20 -> 21 [size =\"26757120\"]\n  20 -> 22 [size =\"26757120\"]\n  20 -> 24 [size =\"26757120\"]\n  21 [size=\"50880000\", alpha=\"0.19\", expect_size=\"20352000\"] \n  22 [size=\"74690560\", alpha=\"0.06\", expect_size=\"29876224\"] \n  22 -> 25 [size =\"29876224\"]\n  23 [size=\"76707840\", alpha=\"0.03\", expect_size=\"30683136\"] \n  24 [size=\"78346240\", alpha=\"0.17\", expect_size=\"31338496\"] \n  25 [size=\"93537280\", alpha=\"0.04\", expect_size=\"37414912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141847893\", alpha=\"0.00\", expect_size=\"42554368\"] \n  1 -> 2 [size =\"42554368\"]\n  2 [size=\"150859093\", alpha=\"0.12\", expect_size=\"45257728\"] \n  2 -> 3 [size =\"45257728\"]\n  3 [size=\"49336320\", alpha=\"0.09\", expect_size=\"14800896\"] \n  3 -> 4 [size =\"14800896\"]\n  4 [size=\"78745600\", alpha=\"0.02\", expect_size=\"23623680\"] \n  4 -> 5 [size =\"23623680\"]\n  5 [size=\"166130347\", alpha=\"0.15\", expect_size=\"49839104\"] \n  5 -> 6 [size =\"49839104\"]\n  6 [size=\"84305920\", alpha=\"0.11\", expect_size=\"25291776\"] \n  6 -> 7 [size =\"25291776\"]\n  7 [size=\"51862187\", alpha=\"0.17\", expect_size=\"15558656\"] \n  7 -> 8 [size =\"15558656\"]\n  8 [size=\"134850560\", alpha=\"0.11\", expect_size=\"40455168\"] \n  8 -> 9 [size =\"40455168\"]\n  9 [size=\"159228587\", alpha=\"0.15\", expect_size=\"47768576\"] \n  9 -> 10 [size =\"47768576\"]\n  10 [size=\"152429227\", alpha=\"0.13\", expect_size=\"45728768\"] \n  10 -> 11 [size =\"45728768\"]\n  11 [size=\"25712640\", alpha=\"0.16\", expect_size=\"7713792\"] \n  11 -> 12 [size =\"7713792\"]\n  12 [size=\"26490880\", alpha=\"0.19\", expect_size=\"7947264\"] \n  12 -> 13 [size =\"7947264\"]\n  13 [size=\"118289067\", alpha=\"0.12\", expect_size=\"35486720\"] \n  13 -> 14 [size =\"35486720\"]\n  14 [size=\"31563093\", alpha=\"0.13\", expect_size=\"9468928\"] \n  14 -> 15 [size =\"9468928\"]\n  15 [size=\"48954027\", alpha=\"0.17\", expect_size=\"14686208\"] \n  15 -> 16 [size =\"14686208\"]\n  16 [size=\"163826347\", alpha=\"0.11\", expect_size=\"49147904\"] \n  16 -> 17 [size =\"49147904\"]\n  17 [size=\"91047253\", alpha=\"0.07\", expect_size=\"27314176\"] \n  17 -> 18 [size =\"27314176\"]\n  18 [size=\"66488320\", alpha=\"0.17\", expect_size=\"19946496\"] \n  18 -> 19 [size =\"19946496\"]\n  19 [size=\"154112000\", alpha=\"0.19\", expect_size=\"46233600\"] \n  19 -> 20 [size =\"46233600\"]\n  20 [size=\"115438933\", alpha=\"0.13\", expect_size=\"34631680\"] \n  20 -> 21 [size =\"34631680\"]\n  21 [size=\"63624533\", alpha=\"0.04\", expect_size=\"19087360\"] \n  21 -> 22 [size =\"19087360\"]\n  22 [size=\"28310187\", alpha=\"0.11\", expect_size=\"8493056\"] \n  22 -> 23 [size =\"8493056\"]\n  23 [size=\"24190293\", alpha=\"0.03\", expect_size=\"7257088\"] \n  23 -> 24 [size =\"7257088\"]\n  24 [size=\"117036373\", alpha=\"0.02\", expect_size=\"35110912\"] \n  24 -> 25 [size =\"35110912\"]\n  25 [size=\"59429547\", alpha=\"0.20\", expect_size=\"17828864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51335680\", alpha=\"0.12\", expect_size=\"20534272\"] \n  1 -> 11 [size =\"20534272\"]\n  1 -> 12 [size =\"20534272\"]\n  1 -> 13 [size =\"20534272\"]\n  1 -> 16 [size =\"20534272\"]\n  1 -> 18 [size =\"20534272\"]\n  1 -> 19 [size =\"20534272\"]\n  2 [size=\"45424640\", alpha=\"0.05\", expect_size=\"18169856\"] \n  2 -> 14 [size =\"18169856\"]\n  2 -> 17 [size =\"18169856\"]\n  2 -> 18 [size =\"18169856\"]\n  2 -> 19 [size =\"18169856\"]\n  2 -> 20 [size =\"18169856\"]\n  2 -> 21 [size =\"18169856\"]\n  3 [size=\"30197760\", alpha=\"0.13\", expect_size=\"12079104\"] \n  3 -> 17 [size =\"12079104\"]\n  3 -> 17 [size =\"12079104\"]\n  3 -> 19 [size =\"12079104\"]\n  3 -> 21 [size =\"12079104\"]\n  4 [size=\"23889920\", alpha=\"0.16\", expect_size=\"9555968\"] \n  4 -> 17 [size =\"9555968\"]\n  4 -> 18 [size =\"9555968\"]\n  4 -> 19 [size =\"9555968\"]\n  4 -> 21 [size =\"9555968\"]\n  4 -> 22 [size =\"9555968\"]\n  4 -> 23 [size =\"9555968\"]\n  5 [size=\"65141760\", alpha=\"0.05\", expect_size=\"26056704\"] \n  5 -> 14 [size =\"26056704\"]\n  5 -> 18 [size =\"26056704\"]\n  6 [size=\"17195520\", alpha=\"0.07\", expect_size=\"6878208\"] \n  6 -> 11 [size =\"6878208\"]\n  6 -> 12 [size =\"6878208\"]\n  6 -> 13 [size =\"6878208\"]\n  6 -> 19 [size =\"6878208\"]\n  6 -> 21 [size =\"6878208\"]\n  7 [size=\"19863040\", alpha=\"0.13\", expect_size=\"7945216\"] \n  7 -> 11 [size =\"7945216\"]\n  7 -> 12 [size =\"7945216\"]\n  7 -> 13 [size =\"7945216\"]\n  7 -> 16 [size =\"7945216\"]\n  7 -> 17 [size =\"7945216\"]\n  7 -> 19 [size =\"7945216\"]\n  7 -> 21 [size =\"7945216\"]\n  7 -> 23 [size =\"7945216\"]\n  8 [size=\"30108160\", alpha=\"0.00\", expect_size=\"12043264\"] \n  8 -> 11 [size =\"12043264\"]\n  8 -> 12 [size =\"12043264\"]\n  8 -> 13 [size =\"12043264\"]\n  8 -> 16 [size =\"12043264\"]\n  9 [size=\"117465600\", alpha=\"0.06\", expect_size=\"46986240\"] \n  9 -> 11 [size =\"46986240\"]\n  9 -> 12 [size =\"46986240\"]\n  9 -> 14 [size =\"46986240\"]\n  9 -> 23 [size =\"46986240\"]\n  10 [size=\"48739840\", alpha=\"0.11\", expect_size=\"19495936\"] \n  10 -> 11 [size =\"19495936\"]\n  10 -> 12 [size =\"19495936\"]\n  10 -> 14 [size =\"19495936\"]\n  10 -> 15 [size =\"19495936\"]\n  10 -> 16 [size =\"19495936\"]\n  10 -> 18 [size =\"19495936\"]\n  10 -> 21 [size =\"19495936\"]\n  10 -> 23 [size =\"19495936\"]\n  11 [size=\"44889600\", alpha=\"0.17\", expect_size=\"17955840\"] \n  12 [size=\"115671040\", alpha=\"0.12\", expect_size=\"46268416\"] \n  12 -> 24 [size =\"46268416\"]\n  12 -> 25 [size =\"46268416\"]\n  13 [size=\"24407040\", alpha=\"0.01\", expect_size=\"9762816\"] \n  13 -> 25 [size =\"9762816\"]\n  14 [size=\"98170880\", alpha=\"0.16\", expect_size=\"39268352\"] \n  14 -> 24 [size =\"39268352\"]\n  14 -> 25 [size =\"39268352\"]\n  15 [size=\"72591360\", alpha=\"0.07\", expect_size=\"29036544\"] \n  15 -> 24 [size =\"29036544\"]\n  15 -> 25 [size =\"29036544\"]\n  16 [size=\"100152320\", alpha=\"0.15\", expect_size=\"40060928\"] \n  16 -> 25 [size =\"40060928\"]\n  17 [size=\"21324800\", alpha=\"0.06\", expect_size=\"8529920\"] \n  17 -> 25 [size =\"8529920\"]\n  18 [size=\"97589760\", alpha=\"0.10\", expect_size=\"39035904\"] \n  19 [size=\"98723840\", alpha=\"0.11\", expect_size=\"39489536\"] \n  19 -> 25 [size =\"39489536\"]\n  20 [size=\"17090560\", alpha=\"0.12\", expect_size=\"6836224\"] \n  20 -> 24 [size =\"6836224\"]\n  20 -> 25 [size =\"6836224\"]\n  21 [size=\"81786880\", alpha=\"0.01\", expect_size=\"32714752\"] \n  21 -> 24 [size =\"32714752\"]\n  22 [size=\"62786560\", alpha=\"0.14\", expect_size=\"25114624\"] \n  22 -> 24 [size =\"25114624\"]\n  23 [size=\"16640000\", alpha=\"0.11\", expect_size=\"6656000\"] \n  23 -> 24 [size =\"6656000\"]\n  24 [size=\"23249920\", alpha=\"0.09\", expect_size=\"9299968\"] \n  25 [size=\"116733440\", alpha=\"0.16\", expect_size=\"46693376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17641472\", alpha=\"0.03\", expect_size=\"8820736\"] \n  1 -> 20 [size =\"8820736\"]\n  2 [size=\"61954048\", alpha=\"0.07\", expect_size=\"30977024\"] \n  2 -> 22 [size =\"30977024\"]\n  3 [size=\"89921536\", alpha=\"0.19\", expect_size=\"44960768\"] \n  3 -> 22 [size =\"44960768\"]\n  3 -> 23 [size =\"44960768\"]\n  4 [size=\"53358592\", alpha=\"0.17\", expect_size=\"26679296\"] \n  4 -> 20 [size =\"26679296\"]\n  4 -> 22 [size =\"26679296\"]\n  4 -> 23 [size =\"26679296\"]\n  5 [size=\"83392512\", alpha=\"0.09\", expect_size=\"41696256\"] \n  5 -> 20 [size =\"41696256\"]\n  5 -> 22 [size =\"41696256\"]\n  6 [size=\"35923968\", alpha=\"0.14\", expect_size=\"17961984\"] \n  6 -> 20 [size =\"17961984\"]\n  6 -> 22 [size =\"17961984\"]\n  6 -> 25 [size =\"17961984\"]\n  7 [size=\"56287232\", alpha=\"0.09\", expect_size=\"28143616\"] \n  7 -> 20 [size =\"28143616\"]\n  7 -> 22 [size =\"28143616\"]\n  8 [size=\"48177152\", alpha=\"0.04\", expect_size=\"24088576\"] \n  8 -> 23 [size =\"24088576\"]\n  9 [size=\"52193280\", alpha=\"0.14\", expect_size=\"26096640\"] \n  9 -> 20 [size =\"26096640\"]\n  10 [size=\"53063680\", alpha=\"0.10\", expect_size=\"26531840\"] \n  10 -> 20 [size =\"26531840\"]\n  11 [size=\"12474368\", alpha=\"0.20\", expect_size=\"6237184\"] \n  11 -> 21 [size =\"6237184\"]\n  11 -> 25 [size =\"6237184\"]\n  12 [size=\"27815936\", alpha=\"0.10\", expect_size=\"13907968\"] \n  13 [size=\"62248960\", alpha=\"0.16\", expect_size=\"31124480\"] \n  13 -> 23 [size =\"31124480\"]\n  14 [size=\"59625472\", alpha=\"0.14\", expect_size=\"29812736\"] \n  14 -> 23 [size =\"29812736\"]\n  15 [size=\"45223936\", alpha=\"0.11\", expect_size=\"22611968\"] \n  15 -> 25 [size =\"22611968\"]\n  16 [size=\"88104960\", alpha=\"0.00\", expect_size=\"44052480\"] \n  16 -> 22 [size =\"44052480\"]\n  17 [size=\"59576320\", alpha=\"0.04\", expect_size=\"29788160\"] \n  17 -> 23 [size =\"29788160\"]\n  18 [size=\"103028736\", alpha=\"0.06\", expect_size=\"51514368\"] \n  18 -> 21 [size =\"51514368\"]\n  19 [size=\"28493824\", alpha=\"0.12\", expect_size=\"14246912\"] \n  19 -> 20 [size =\"14246912\"]\n  19 -> 22 [size =\"14246912\"]\n  19 -> 23 [size =\"14246912\"]\n  19 -> 24 [size =\"14246912\"]\n  20 [size=\"96577536\", alpha=\"0.03\", expect_size=\"48288768\"] \n  21 [size=\"50401280\", alpha=\"0.16\", expect_size=\"25200640\"] \n  22 [size=\"48480256\", alpha=\"0.19\", expect_size=\"24240128\"] \n  23 [size=\"93886464\", alpha=\"0.19\", expect_size=\"46943232\"] \n  24 [size=\"75180032\", alpha=\"0.09\", expect_size=\"37590016\"] \n  25 [size=\"47190016\", alpha=\"0.14\", expect_size=\"23595008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26970112\", alpha=\"0.04\", expect_size=\"13485056\"] \n  1 -> 2 [size =\"13485056\"]\n  2 [size=\"96628736\", alpha=\"0.06\", expect_size=\"48314368\"] \n  2 -> 3 [size =\"48314368\"]\n  3 [size=\"50046976\", alpha=\"0.09\", expect_size=\"25023488\"] \n  3 -> 4 [size =\"25023488\"]\n  4 [size=\"60385280\", alpha=\"0.19\", expect_size=\"30192640\"] \n  4 -> 5 [size =\"30192640\"]\n  5 [size=\"81518592\", alpha=\"0.18\", expect_size=\"40759296\"] \n  5 -> 6 [size =\"40759296\"]\n  6 [size=\"33435648\", alpha=\"0.04\", expect_size=\"16717824\"] \n  6 -> 7 [size =\"16717824\"]\n  7 [size=\"99948544\", alpha=\"0.19\", expect_size=\"49974272\"] \n  7 -> 8 [size =\"49974272\"]\n  8 [size=\"80064512\", alpha=\"0.05\", expect_size=\"40032256\"] \n  8 -> 9 [size =\"40032256\"]\n  9 [size=\"63000576\", alpha=\"0.08\", expect_size=\"31500288\"] \n  9 -> 10 [size =\"31500288\"]\n  10 [size=\"90195968\", alpha=\"0.01\", expect_size=\"45097984\"] \n  10 -> 11 [size =\"45097984\"]\n  11 [size=\"97679360\", alpha=\"0.08\", expect_size=\"48839680\"] \n  11 -> 12 [size =\"48839680\"]\n  12 [size=\"20936704\", alpha=\"0.00\", expect_size=\"10468352\"] \n  12 -> 13 [size =\"10468352\"]\n  13 [size=\"48334848\", alpha=\"0.00\", expect_size=\"24167424\"] \n  13 -> 14 [size =\"24167424\"]\n  14 [size=\"92977152\", alpha=\"0.11\", expect_size=\"46488576\"] \n  14 -> 15 [size =\"46488576\"]\n  15 [size=\"89409536\", alpha=\"0.00\", expect_size=\"44704768\"] \n  15 -> 16 [size =\"44704768\"]\n  16 [size=\"81643520\", alpha=\"0.20\", expect_size=\"40821760\"] \n  16 -> 17 [size =\"40821760\"]\n  17 [size=\"100458496\", alpha=\"0.08\", expect_size=\"50229248\"] \n  17 -> 18 [size =\"50229248\"]\n  18 [size=\"96653312\", alpha=\"0.13\", expect_size=\"48326656\"] \n  18 -> 19 [size =\"48326656\"]\n  19 [size=\"27144192\", alpha=\"0.19\", expect_size=\"13572096\"] \n  19 -> 20 [size =\"13572096\"]\n  20 [size=\"64950272\", alpha=\"0.12\", expect_size=\"32475136\"] \n  20 -> 21 [size =\"32475136\"]\n  21 [size=\"69758976\", alpha=\"0.09\", expect_size=\"34879488\"] \n  21 -> 22 [size =\"34879488\"]\n  22 [size=\"15308800\", alpha=\"0.03\", expect_size=\"7654400\"] \n  22 -> 23 [size =\"7654400\"]\n  23 [size=\"16693248\", alpha=\"0.07\", expect_size=\"8346624\"] \n  23 -> 24 [size =\"8346624\"]\n  24 [size=\"17152000\", alpha=\"0.00\", expect_size=\"8576000\"] \n  24 -> 25 [size =\"8576000\"]\n  25 [size=\"67031040\", alpha=\"0.09\", expect_size=\"33515520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26867712\", alpha=\"0.04\", expect_size=\"13433856\"] \n  1 -> 2 [size =\"13433856\"]\n  2 [size=\"89382912\", alpha=\"0.18\", expect_size=\"44691456\"] \n  2 -> 3 [size =\"44691456\"]\n  2 -> 4 [size =\"44691456\"]\n  3 [size=\"35065856\", alpha=\"0.10\", expect_size=\"17532928\"] \n  3 -> 5 [size =\"17532928\"]\n  3 -> 6 [size =\"17532928\"]\n  4 [size=\"21184512\", alpha=\"0.11\", expect_size=\"10592256\"] \n  4 -> 5 [size =\"10592256\"]\n  4 -> 6 [size =\"10592256\"]\n  5 [size=\"17473536\", alpha=\"0.20\", expect_size=\"8736768\"] \n  5 -> 7 [size =\"8736768\"]\n  6 [size=\"38090752\", alpha=\"0.16\", expect_size=\"19045376\"] \n  6 -> 7 [size =\"19045376\"]\n  7 [size=\"13942784\", alpha=\"0.14\", expect_size=\"6971392\"] \n  7 -> 8 [size =\"6971392\"]\n  7 -> 9 [size =\"6971392\"]\n  8 [size=\"55394304\", alpha=\"0.05\", expect_size=\"27697152\"] \n  8 -> 10 [size =\"27697152\"]\n  9 [size=\"22532096\", alpha=\"0.07\", expect_size=\"11266048\"] \n  9 -> 10 [size =\"11266048\"]\n  10 [size=\"69513216\", alpha=\"0.02\", expect_size=\"34756608\"] \n  10 -> 11 [size =\"34756608\"]\n  10 -> 12 [size =\"34756608\"]\n  11 [size=\"40929280\", alpha=\"0.08\", expect_size=\"20464640\"] \n  11 -> 13 [size =\"20464640\"]\n  11 -> 14 [size =\"20464640\"]\n  12 [size=\"59054080\", alpha=\"0.04\", expect_size=\"29527040\"] \n  12 -> 13 [size =\"29527040\"]\n  12 -> 14 [size =\"29527040\"]\n  13 [size=\"47779840\", alpha=\"0.11\", expect_size=\"23889920\"] \n  13 -> 15 [size =\"23889920\"]\n  13 -> 16 [size =\"23889920\"]\n  14 [size=\"96790528\", alpha=\"0.06\", expect_size=\"48395264\"] \n  14 -> 16 [size =\"48395264\"]\n  15 [size=\"54796288\", alpha=\"0.10\", expect_size=\"27398144\"] \n  15 -> 17 [size =\"27398144\"]\n  15 -> 18 [size =\"27398144\"]\n  16 [size=\"54343680\", alpha=\"0.19\", expect_size=\"27171840\"] \n  16 -> 17 [size =\"27171840\"]\n  17 [size=\"33390592\", alpha=\"0.15\", expect_size=\"16695296\"] \n  17 -> 19 [size =\"16695296\"]\n  18 [size=\"99690496\", alpha=\"0.02\", expect_size=\"49845248\"] \n  18 -> 19 [size =\"49845248\"]\n  19 [size=\"30009344\", alpha=\"0.19\", expect_size=\"15004672\"] \n  19 -> 20 [size =\"15004672\"]\n  20 [size=\"63819776\", alpha=\"0.07\", expect_size=\"31909888\"] \n  20 -> 21 [size =\"31909888\"]\n  20 -> 22 [size =\"31909888\"]\n  21 [size=\"72441856\", alpha=\"0.19\", expect_size=\"36220928\"] \n  21 -> 23 [size =\"36220928\"]\n  22 [size=\"16881664\", alpha=\"0.07\", expect_size=\"8440832\"] \n  22 -> 23 [size =\"8440832\"]\n  22 -> 24 [size =\"8440832\"]\n  23 [size=\"33714176\", alpha=\"0.01\", expect_size=\"16857088\"] \n  23 -> 25 [size =\"16857088\"]\n  24 [size=\"85940224\", alpha=\"0.16\", expect_size=\"42970112\"] \n  24 -> 25 [size =\"42970112\"]\n  25 [size=\"22153216\", alpha=\"0.14\", expect_size=\"11076608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91453440\", alpha=\"0.03\", expect_size=\"45726720\"] \n  1 -> 6 [size =\"45726720\"]\n  1 -> 7 [size =\"45726720\"]\n  1 -> 8 [size =\"45726720\"]\n  1 -> 9 [size =\"45726720\"]\n  2 [size=\"54228992\", alpha=\"0.13\", expect_size=\"27114496\"] \n  2 -> 9 [size =\"27114496\"]\n  3 [size=\"59817984\", alpha=\"0.16\", expect_size=\"29908992\"] \n  3 -> 6 [size =\"29908992\"]\n  3 -> 7 [size =\"29908992\"]\n  4 [size=\"25974784\", alpha=\"0.18\", expect_size=\"12987392\"] \n  5 [size=\"64038912\", alpha=\"0.06\", expect_size=\"32019456\"] \n  5 -> 6 [size =\"32019456\"]\n  5 -> 7 [size =\"32019456\"]\n  6 [size=\"46047232\", alpha=\"0.02\", expect_size=\"23023616\"] \n  6 -> 10 [size =\"23023616\"]\n  6 -> 11 [size =\"23023616\"]\n  6 -> 12 [size =\"23023616\"]\n  7 [size=\"20008960\", alpha=\"0.06\", expect_size=\"10004480\"] \n  7 -> 10 [size =\"10004480\"]\n  7 -> 12 [size =\"10004480\"]\n  7 -> 12 [size =\"10004480\"]\n  8 [size=\"14489600\", alpha=\"0.04\", expect_size=\"7244800\"] \n  8 -> 10 [size =\"7244800\"]\n  9 [size=\"95580160\", alpha=\"0.17\", expect_size=\"47790080\"] \n  9 -> 11 [size =\"47790080\"]\n  9 -> 12 [size =\"47790080\"]\n  10 [size=\"29929472\", alpha=\"0.09\", expect_size=\"14964736\"] \n  10 -> 13 [size =\"14964736\"]\n  10 -> 14 [size =\"14964736\"]\n  10 -> 16 [size =\"14964736\"]\n  11 [size=\"97499136\", alpha=\"0.14\", expect_size=\"48749568\"] \n  11 -> 13 [size =\"48749568\"]\n  11 -> 14 [size =\"48749568\"]\n  12 [size=\"18219008\", alpha=\"0.16\", expect_size=\"9109504\"] \n  12 -> 13 [size =\"9109504\"]\n  12 -> 14 [size =\"9109504\"]\n  12 -> 15 [size =\"9109504\"]\n  12 -> 17 [size =\"9109504\"]\n  13 [size=\"79247360\", alpha=\"0.14\", expect_size=\"39623680\"] \n  14 [size=\"59975680\", alpha=\"0.14\", expect_size=\"29987840\"] \n  14 -> 20 [size =\"29987840\"]\n  14 -> 21 [size =\"29987840\"]\n  15 [size=\"51091456\", alpha=\"0.03\", expect_size=\"25545728\"] \n  15 -> 19 [size =\"25545728\"]\n  15 -> 20 [size =\"25545728\"]\n  15 -> 21 [size =\"25545728\"]\n  16 [size=\"81584128\", alpha=\"0.05\", expect_size=\"40792064\"] \n  16 -> 18 [size =\"40792064\"]\n  16 -> 20 [size =\"40792064\"]\n  16 -> 21 [size =\"40792064\"]\n  17 [size=\"92231680\", alpha=\"0.12\", expect_size=\"46115840\"] \n  17 -> 20 [size =\"46115840\"]\n  17 -> 21 [size =\"46115840\"]\n  17 -> 21 [size =\"46115840\"]\n  18 [size=\"25055232\", alpha=\"0.19\", expect_size=\"12527616\"] \n  18 -> 24 [size =\"12527616\"]\n  18 -> 25 [size =\"12527616\"]\n  19 [size=\"45363200\", alpha=\"0.01\", expect_size=\"22681600\"] \n  19 -> 23 [size =\"22681600\"]\n  19 -> 24 [size =\"22681600\"]\n  19 -> 25 [size =\"22681600\"]\n  20 [size=\"29526016\", alpha=\"0.20\", expect_size=\"14763008\"] \n  20 -> 22 [size =\"14763008\"]\n  20 -> 23 [size =\"14763008\"]\n  20 -> 24 [size =\"14763008\"]\n  20 -> 25 [size =\"14763008\"]\n  21 [size=\"73009152\", alpha=\"0.15\", expect_size=\"36504576\"] \n  21 -> 22 [size =\"36504576\"]\n  21 -> 23 [size =\"36504576\"]\n  21 -> 24 [size =\"36504576\"]\n  22 [size=\"42784768\", alpha=\"0.00\", expect_size=\"21392384\"] \n  23 [size=\"25321472\", alpha=\"0.15\", expect_size=\"12660736\"] \n  24 [size=\"89280512\", alpha=\"0.14\", expect_size=\"44640256\"] \n  25 [size=\"62953472\", alpha=\"0.04\", expect_size=\"31476736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172844373\", alpha=\"0.00\", expect_size=\"51853312\"] \n  2 [size=\"105919147\", alpha=\"0.02\", expect_size=\"31775744\"] \n  2 -> 19 [size =\"31775744\"]\n  2 -> 20 [size =\"31775744\"]\n  2 -> 21 [size =\"31775744\"]\n  3 [size=\"119797760\", alpha=\"0.03\", expect_size=\"35939328\"] \n  4 [size=\"116503893\", alpha=\"0.19\", expect_size=\"34951168\"] \n  4 -> 20 [size =\"34951168\"]\n  4 -> 23 [size =\"34951168\"]\n  5 [size=\"78448640\", alpha=\"0.03\", expect_size=\"23534592\"] \n  5 -> 19 [size =\"23534592\"]\n  5 -> 23 [size =\"23534592\"]\n  5 -> 25 [size =\"23534592\"]\n  6 [size=\"87606613\", alpha=\"0.08\", expect_size=\"26281984\"] \n  6 -> 19 [size =\"26281984\"]\n  6 -> 22 [size =\"26281984\"]\n  6 -> 23 [size =\"26281984\"]\n  6 -> 25 [size =\"26281984\"]\n  7 [size=\"39157760\", alpha=\"0.10\", expect_size=\"11747328\"] \n  7 -> 19 [size =\"11747328\"]\n  7 -> 22 [size =\"11747328\"]\n  7 -> 25 [size =\"11747328\"]\n  8 [size=\"47991467\", alpha=\"0.03\", expect_size=\"14397440\"] \n  8 -> 23 [size =\"14397440\"]\n  9 [size=\"165853867\", alpha=\"0.06\", expect_size=\"49756160\"] \n  9 -> 25 [size =\"49756160\"]\n  10 [size=\"34819413\", alpha=\"0.16\", expect_size=\"10445824\"] \n  10 -> 19 [size =\"10445824\"]\n  10 -> 21 [size =\"10445824\"]\n  11 [size=\"149394773\", alpha=\"0.04\", expect_size=\"44818432\"] \n  11 -> 19 [size =\"44818432\"]\n  11 -> 21 [size =\"44818432\"]\n  11 -> 23 [size =\"44818432\"]\n  11 -> 24 [size =\"44818432\"]\n  12 [size=\"149828267\", alpha=\"0.11\", expect_size=\"44948480\"] \n  12 -> 19 [size =\"44948480\"]\n  12 -> 23 [size =\"44948480\"]\n  13 [size=\"162457600\", alpha=\"0.13\", expect_size=\"48737280\"] \n  13 -> 21 [size =\"48737280\"]\n  14 [size=\"29726720\", alpha=\"0.20\", expect_size=\"8918016\"] \n  14 -> 22 [size =\"8918016\"]\n  14 -> 25 [size =\"8918016\"]\n  15 [size=\"22282240\", alpha=\"0.06\", expect_size=\"6684672\"] \n  15 -> 20 [size =\"6684672\"]\n  15 -> 21 [size =\"6684672\"]\n  15 -> 23 [size =\"6684672\"]\n  16 [size=\"46776320\", alpha=\"0.04\", expect_size=\"14032896\"] \n  16 -> 25 [size =\"14032896\"]\n  17 [size=\"109755733\", alpha=\"0.09\", expect_size=\"32926720\"] \n  17 -> 19 [size =\"32926720\"]\n  17 -> 21 [size =\"32926720\"]\n  17 -> 23 [size =\"32926720\"]\n  18 [size=\"33116160\", alpha=\"0.17\", expect_size=\"9934848\"] \n  19 [size=\"53684907\", alpha=\"0.10\", expect_size=\"16105472\"] \n  20 [size=\"102884693\", alpha=\"0.09\", expect_size=\"30865408\"] \n  21 [size=\"74984107\", alpha=\"0.08\", expect_size=\"22495232\"] \n  22 [size=\"104683520\", alpha=\"0.18\", expect_size=\"31405056\"] \n  23 [size=\"31146667\", alpha=\"0.00\", expect_size=\"9344000\"] \n  24 [size=\"131068587\", alpha=\"0.16\", expect_size=\"39320576\"] \n  25 [size=\"130061653\", alpha=\"0.19\", expect_size=\"39018496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32424960\", alpha=\"0.13\", expect_size=\"12969984\"] \n  1 -> 4 [size =\"12969984\"]\n  1 -> 5 [size =\"12969984\"]\n  2 [size=\"51322880\", alpha=\"0.08\", expect_size=\"20529152\"] \n  2 -> 6 [size =\"20529152\"]\n  2 -> 7 [size =\"20529152\"]\n  3 [size=\"107906560\", alpha=\"0.14\", expect_size=\"43162624\"] \n  3 -> 7 [size =\"43162624\"]\n  4 [size=\"86236160\", alpha=\"0.17\", expect_size=\"34494464\"] \n  4 -> 8 [size =\"34494464\"]\n  5 [size=\"81815040\", alpha=\"0.08\", expect_size=\"32726016\"] \n  5 -> 9 [size =\"32726016\"]\n  5 -> 10 [size =\"32726016\"]\n  6 [size=\"71303680\", alpha=\"0.02\", expect_size=\"28521472\"] \n  7 [size=\"129088000\", alpha=\"0.04\", expect_size=\"51635200\"] \n  7 -> 10 [size =\"51635200\"]\n  8 [size=\"125283840\", alpha=\"0.16\", expect_size=\"50113536\"] \n  8 -> 11 [size =\"50113536\"]\n  8 -> 12 [size =\"50113536\"]\n  8 -> 14 [size =\"50113536\"]\n  9 [size=\"40512000\", alpha=\"0.07\", expect_size=\"16204800\"] \n  9 -> 11 [size =\"16204800\"]\n  10 [size=\"86289920\", alpha=\"0.03\", expect_size=\"34515968\"] \n  10 -> 13 [size =\"34515968\"]\n  10 -> 14 [size =\"34515968\"]\n  10 -> 15 [size =\"34515968\"]\n  11 [size=\"70492160\", alpha=\"0.05\", expect_size=\"28196864\"] \n  11 -> 17 [size =\"28196864\"]\n  11 -> 18 [size =\"28196864\"]\n  11 -> 19 [size =\"28196864\"]\n  11 -> 20 [size =\"28196864\"]\n  12 [size=\"31539200\", alpha=\"0.06\", expect_size=\"12615680\"] \n  12 -> 17 [size =\"12615680\"]\n  12 -> 18 [size =\"12615680\"]\n  12 -> 19 [size =\"12615680\"]\n  12 -> 20 [size =\"12615680\"]\n  13 [size=\"81090560\", alpha=\"0.09\", expect_size=\"32436224\"] \n  13 -> 17 [size =\"32436224\"]\n  13 -> 20 [size =\"32436224\"]\n  14 [size=\"47557120\", alpha=\"0.10\", expect_size=\"19022848\"] \n  14 -> 16 [size =\"19022848\"]\n  15 [size=\"29601280\", alpha=\"0.03\", expect_size=\"11840512\"] \n  15 -> 16 [size =\"11840512\"]\n  16 [size=\"78092800\", alpha=\"0.06\", expect_size=\"31237120\"] \n  16 -> 24 [size =\"31237120\"]\n  16 -> 25 [size =\"31237120\"]\n  17 [size=\"91832320\", alpha=\"0.08\", expect_size=\"36732928\"] \n  18 [size=\"114186240\", alpha=\"0.13\", expect_size=\"45674496\"] \n  18 -> 22 [size =\"45674496\"]\n  19 [size=\"93135360\", alpha=\"0.07\", expect_size=\"37254144\"] \n  19 -> 21 [size =\"37254144\"]\n  19 -> 23 [size =\"37254144\"]\n  20 [size=\"18575360\", alpha=\"0.19\", expect_size=\"7430144\"] \n  20 -> 21 [size =\"7430144\"]\n  20 -> 25 [size =\"7430144\"]\n  21 [size=\"34204160\", alpha=\"0.14\", expect_size=\"13681664\"] \n  22 [size=\"65446400\", alpha=\"0.16\", expect_size=\"26178560\"] \n  23 [size=\"99745280\", alpha=\"0.13\", expect_size=\"39898112\"] \n  24 [size=\"34288640\", alpha=\"0.04\", expect_size=\"13715456\"] \n  25 [size=\"91476480\", alpha=\"0.05\", expect_size=\"36590592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32237568\", alpha=\"0.00\", expect_size=\"16118784\"] \n  1 -> 5 [size =\"16118784\"]\n  1 -> 6 [size =\"16118784\"]\n  1 -> 7 [size =\"16118784\"]\n  1 -> 8 [size =\"16118784\"]\n  2 [size=\"15622144\", alpha=\"0.12\", expect_size=\"7811072\"] \n  2 -> 5 [size =\"7811072\"]\n  2 -> 6 [size =\"7811072\"]\n  2 -> 7 [size =\"7811072\"]\n  2 -> 8 [size =\"7811072\"]\n  3 [size=\"35901440\", alpha=\"0.01\", expect_size=\"17950720\"] \n  3 -> 5 [size =\"17950720\"]\n  3 -> 6 [size =\"17950720\"]\n  3 -> 7 [size =\"17950720\"]\n  4 [size=\"96972800\", alpha=\"0.20\", expect_size=\"48486400\"] \n  4 -> 5 [size =\"48486400\"]\n  4 -> 6 [size =\"48486400\"]\n  4 -> 7 [size =\"48486400\"]\n  4 -> 8 [size =\"48486400\"]\n  5 [size=\"57987072\", alpha=\"0.02\", expect_size=\"28993536\"] \n  5 -> 9 [size =\"28993536\"]\n  5 -> 11 [size =\"28993536\"]\n  6 [size=\"19539968\", alpha=\"0.19\", expect_size=\"9769984\"] \n  6 -> 11 [size =\"9769984\"]\n  6 -> 11 [size =\"9769984\"]\n  7 [size=\"63326208\", alpha=\"0.07\", expect_size=\"31663104\"] \n  7 -> 9 [size =\"31663104\"]\n  7 -> 10 [size =\"31663104\"]\n  7 -> 11 [size =\"31663104\"]\n  8 [size=\"55738368\", alpha=\"0.10\", expect_size=\"27869184\"] \n  9 [size=\"23562240\", alpha=\"0.20\", expect_size=\"11781120\"] \n  9 -> 14 [size =\"11781120\"]\n  9 -> 14 [size =\"11781120\"]\n  10 [size=\"26669056\", alpha=\"0.16\", expect_size=\"13334528\"] \n  10 -> 12 [size =\"13334528\"]\n  10 -> 13 [size =\"13334528\"]\n  11 [size=\"63782912\", alpha=\"0.02\", expect_size=\"31891456\"] \n  11 -> 12 [size =\"31891456\"]\n  11 -> 14 [size =\"31891456\"]\n  12 [size=\"63991808\", alpha=\"0.07\", expect_size=\"31995904\"] \n  12 -> 15 [size =\"31995904\"]\n  12 -> 16 [size =\"31995904\"]\n  12 -> 17 [size =\"31995904\"]\n  12 -> 18 [size =\"31995904\"]\n  13 [size=\"27840512\", alpha=\"0.11\", expect_size=\"13920256\"] \n  13 -> 15 [size =\"13920256\"]\n  13 -> 16 [size =\"13920256\"]\n  13 -> 17 [size =\"13920256\"]\n  14 [size=\"32747520\", alpha=\"0.09\", expect_size=\"16373760\"] \n  14 -> 15 [size =\"16373760\"]\n  14 -> 17 [size =\"16373760\"]\n  14 -> 18 [size =\"16373760\"]\n  15 [size=\"31268864\", alpha=\"0.11\", expect_size=\"15634432\"] \n  15 -> 19 [size =\"15634432\"]\n  15 -> 20 [size =\"15634432\"]\n  15 -> 21 [size =\"15634432\"]\n  16 [size=\"42625024\", alpha=\"0.08\", expect_size=\"21312512\"] \n  16 -> 19 [size =\"21312512\"]\n  16 -> 20 [size =\"21312512\"]\n  16 -> 21 [size =\"21312512\"]\n  16 -> 22 [size =\"21312512\"]\n  17 [size=\"39288832\", alpha=\"0.01\", expect_size=\"19644416\"] \n  17 -> 19 [size =\"19644416\"]\n  17 -> 20 [size =\"19644416\"]\n  17 -> 21 [size =\"19644416\"]\n  18 [size=\"74076160\", alpha=\"0.11\", expect_size=\"37038080\"] \n  18 -> 19 [size =\"37038080\"]\n  18 -> 20 [size =\"37038080\"]\n  18 -> 21 [size =\"37038080\"]\n  19 [size=\"26540032\", alpha=\"0.18\", expect_size=\"13270016\"] \n  19 -> 23 [size =\"13270016\"]\n  19 -> 24 [size =\"13270016\"]\n  20 [size=\"26144768\", alpha=\"0.18\", expect_size=\"13072384\"] \n  20 -> 23 [size =\"13072384\"]\n  20 -> 24 [size =\"13072384\"]\n  20 -> 25 [size =\"13072384\"]\n  21 [size=\"102678528\", alpha=\"0.02\", expect_size=\"51339264\"] \n  21 -> 23 [size =\"51339264\"]\n  21 -> 24 [size =\"51339264\"]\n  21 -> 25 [size =\"51339264\"]\n  22 [size=\"17797120\", alpha=\"0.08\", expect_size=\"8898560\"] \n  22 -> 23 [size =\"8898560\"]\n  22 -> 24 [size =\"8898560\"]\n  22 -> 25 [size =\"8898560\"]\n  23 [size=\"51298304\", alpha=\"0.19\", expect_size=\"25649152\"] \n  24 [size=\"104765440\", alpha=\"0.08\", expect_size=\"52382720\"] \n  25 [size=\"53610496\", alpha=\"0.08\", expect_size=\"26805248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92172800\", alpha=\"0.15\", expect_size=\"36869120\"] \n  1 -> 12 [size =\"36869120\"]\n  1 -> 16 [size =\"36869120\"]\n  1 -> 17 [size =\"36869120\"]\n  2 [size=\"85291520\", alpha=\"0.08\", expect_size=\"34116608\"] \n  2 -> 13 [size =\"34116608\"]\n  2 -> 16 [size =\"34116608\"]\n  3 [size=\"91860480\", alpha=\"0.11\", expect_size=\"36744192\"] \n  3 -> 15 [size =\"36744192\"]\n  3 -> 16 [size =\"36744192\"]\n  4 [size=\"62051840\", alpha=\"0.14\", expect_size=\"24820736\"] \n  4 -> 10 [size =\"24820736\"]\n  4 -> 13 [size =\"24820736\"]\n  4 -> 14 [size =\"24820736\"]\n  4 -> 15 [size =\"24820736\"]\n  4 -> 17 [size =\"24820736\"]\n  5 [size=\"127037440\", alpha=\"0.08\", expect_size=\"50814976\"] \n  5 -> 12 [size =\"50814976\"]\n  5 -> 15 [size =\"50814976\"]\n  6 [size=\"115066880\", alpha=\"0.04\", expect_size=\"46026752\"] \n  6 -> 10 [size =\"46026752\"]\n  6 -> 17 [size =\"46026752\"]\n  6 -> 18 [size =\"46026752\"]\n  7 [size=\"39196160\", alpha=\"0.12\", expect_size=\"15678464\"] \n  7 -> 10 [size =\"15678464\"]\n  7 -> 15 [size =\"15678464\"]\n  7 -> 16 [size =\"15678464\"]\n  8 [size=\"62021120\", alpha=\"0.01\", expect_size=\"24808448\"] \n  8 -> 10 [size =\"24808448\"]\n  8 -> 18 [size =\"24808448\"]\n  9 [size=\"101401600\", alpha=\"0.02\", expect_size=\"40560640\"] \n  9 -> 11 [size =\"40560640\"]\n  9 -> 13 [size =\"40560640\"]\n  9 -> 16 [size =\"40560640\"]\n  10 [size=\"38438400\", alpha=\"0.16\", expect_size=\"15375360\"] \n  10 -> 23 [size =\"15375360\"]\n  10 -> 25 [size =\"15375360\"]\n  11 [size=\"50439680\", alpha=\"0.16\", expect_size=\"20175872\"] \n  11 -> 21 [size =\"20175872\"]\n  12 [size=\"21288960\", alpha=\"0.12\", expect_size=\"8515584\"] \n  12 -> 22 [size =\"8515584\"]\n  12 -> 23 [size =\"8515584\"]\n  13 [size=\"67978240\", alpha=\"0.03\", expect_size=\"27191296\"] \n  13 -> 21 [size =\"27191296\"]\n  13 -> 23 [size =\"27191296\"]\n  14 [size=\"17525760\", alpha=\"0.11\", expect_size=\"7010304\"] \n  14 -> 21 [size =\"7010304\"]\n  14 -> 23 [size =\"7010304\"]\n  14 -> 24 [size =\"7010304\"]\n  14 -> 25 [size =\"7010304\"]\n  15 [size=\"98624000\", alpha=\"0.06\", expect_size=\"39449600\"] \n  15 -> 20 [size =\"39449600\"]\n  15 -> 21 [size =\"39449600\"]\n  15 -> 25 [size =\"39449600\"]\n  15 -> 25 [size =\"39449600\"]\n  16 [size=\"29135360\", alpha=\"0.02\", expect_size=\"11654144\"] \n  16 -> 20 [size =\"11654144\"]\n  16 -> 21 [size =\"11654144\"]\n  17 [size=\"53611520\", alpha=\"0.02\", expect_size=\"21444608\"] \n  17 -> 19 [size =\"21444608\"]\n  17 -> 22 [size =\"21444608\"]\n  17 -> 25 [size =\"21444608\"]\n  18 [size=\"125447680\", alpha=\"0.02\", expect_size=\"50179072\"] \n  18 -> 20 [size =\"50179072\"]\n  18 -> 21 [size =\"50179072\"]\n  18 -> 22 [size =\"50179072\"]\n  18 -> 23 [size =\"50179072\"]\n  19 [size=\"129896960\", alpha=\"0.05\", expect_size=\"51958784\"] \n  20 [size=\"22248960\", alpha=\"0.06\", expect_size=\"8899584\"] \n  21 [size=\"115179520\", alpha=\"0.20\", expect_size=\"46071808\"] \n  22 [size=\"90452480\", alpha=\"0.06\", expect_size=\"36180992\"] \n  23 [size=\"43886080\", alpha=\"0.05\", expect_size=\"17554432\"] \n  24 [size=\"64168960\", alpha=\"0.13\", expect_size=\"25667584\"] \n  25 [size=\"127523840\", alpha=\"0.20\", expect_size=\"51009536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53215232\", alpha=\"0.12\", expect_size=\"26607616\"] \n  1 -> 2 [size =\"26607616\"]\n  2 [size=\"40740864\", alpha=\"0.19\", expect_size=\"20370432\"] \n  2 -> 3 [size =\"20370432\"]\n  3 [size=\"48936960\", alpha=\"0.03\", expect_size=\"24468480\"] \n  3 -> 4 [size =\"24468480\"]\n  4 [size=\"77862912\", alpha=\"0.16\", expect_size=\"38931456\"] \n  4 -> 5 [size =\"38931456\"]\n  5 [size=\"14546944\", alpha=\"0.06\", expect_size=\"7273472\"] \n  5 -> 6 [size =\"7273472\"]\n  6 [size=\"92968960\", alpha=\"0.04\", expect_size=\"46484480\"] \n  6 -> 7 [size =\"46484480\"]\n  7 [size=\"65624064\", alpha=\"0.07\", expect_size=\"32812032\"] \n  7 -> 8 [size =\"32812032\"]\n  8 [size=\"53946368\", alpha=\"0.16\", expect_size=\"26973184\"] \n  8 -> 9 [size =\"26973184\"]\n  9 [size=\"29427712\", alpha=\"0.13\", expect_size=\"14713856\"] \n  9 -> 10 [size =\"14713856\"]\n  10 [size=\"12152832\", alpha=\"0.20\", expect_size=\"6076416\"] \n  10 -> 11 [size =\"6076416\"]\n  11 [size=\"93188096\", alpha=\"0.19\", expect_size=\"46594048\"] \n  11 -> 12 [size =\"46594048\"]\n  12 [size=\"57460736\", alpha=\"0.03\", expect_size=\"28730368\"] \n  12 -> 13 [size =\"28730368\"]\n  13 [size=\"50411520\", alpha=\"0.07\", expect_size=\"25205760\"] \n  13 -> 14 [size =\"25205760\"]\n  14 [size=\"62517248\", alpha=\"0.09\", expect_size=\"31258624\"] \n  14 -> 15 [size =\"31258624\"]\n  15 [size=\"45359104\", alpha=\"0.09\", expect_size=\"22679552\"] \n  15 -> 16 [size =\"22679552\"]\n  16 [size=\"75522048\", alpha=\"0.01\", expect_size=\"37761024\"] \n  16 -> 17 [size =\"37761024\"]\n  17 [size=\"95299584\", alpha=\"0.01\", expect_size=\"47649792\"] \n  17 -> 18 [size =\"47649792\"]\n  18 [size=\"36149248\", alpha=\"0.05\", expect_size=\"18074624\"] \n  18 -> 19 [size =\"18074624\"]\n  19 [size=\"17719296\", alpha=\"0.11\", expect_size=\"8859648\"] \n  19 -> 20 [size =\"8859648\"]\n  20 [size=\"78848000\", alpha=\"0.15\", expect_size=\"39424000\"] \n  20 -> 21 [size =\"39424000\"]\n  21 [size=\"77756416\", alpha=\"0.07\", expect_size=\"38878208\"] \n  21 -> 22 [size =\"38878208\"]\n  22 [size=\"71495680\", alpha=\"0.07\", expect_size=\"35747840\"] \n  22 -> 23 [size =\"35747840\"]\n  23 [size=\"84226048\", alpha=\"0.14\", expect_size=\"42113024\"] \n  23 -> 24 [size =\"42113024\"]\n  24 [size=\"23875584\", alpha=\"0.16\", expect_size=\"11937792\"] \n  24 -> 25 [size =\"11937792\"]\n  25 [size=\"66738176\", alpha=\"0.18\", expect_size=\"33369088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123407360\", alpha=\"0.01\", expect_size=\"49362944\"] \n  1 -> 2 [size =\"49362944\"]\n  2 [size=\"17095680\", alpha=\"0.04\", expect_size=\"6838272\"] \n  2 -> 3 [size =\"6838272\"]\n  3 [size=\"53552640\", alpha=\"0.10\", expect_size=\"21421056\"] \n  3 -> 4 [size =\"21421056\"]\n  4 [size=\"107033600\", alpha=\"0.03\", expect_size=\"42813440\"] \n  4 -> 5 [size =\"42813440\"]\n  5 [size=\"114024960\", alpha=\"0.16\", expect_size=\"45609984\"] \n  5 -> 6 [size =\"45609984\"]\n  6 [size=\"56256000\", alpha=\"0.00\", expect_size=\"22502400\"] \n  6 -> 7 [size =\"22502400\"]\n  7 [size=\"59215360\", alpha=\"0.03\", expect_size=\"23686144\"] \n  7 -> 8 [size =\"23686144\"]\n  8 [size=\"95843840\", alpha=\"0.13\", expect_size=\"38337536\"] \n  8 -> 9 [size =\"38337536\"]\n  9 [size=\"53967360\", alpha=\"0.03\", expect_size=\"21586944\"] \n  9 -> 10 [size =\"21586944\"]\n  10 [size=\"47831040\", alpha=\"0.06\", expect_size=\"19132416\"] \n  10 -> 11 [size =\"19132416\"]\n  11 [size=\"88581120\", alpha=\"0.03\", expect_size=\"35432448\"] \n  11 -> 12 [size =\"35432448\"]\n  12 [size=\"94000640\", alpha=\"0.01\", expect_size=\"37600256\"] \n  12 -> 13 [size =\"37600256\"]\n  13 [size=\"117368320\", alpha=\"0.05\", expect_size=\"46947328\"] \n  13 -> 14 [size =\"46947328\"]\n  14 [size=\"60144640\", alpha=\"0.15\", expect_size=\"24057856\"] \n  14 -> 15 [size =\"24057856\"]\n  15 [size=\"78622720\", alpha=\"0.04\", expect_size=\"31449088\"] \n  15 -> 16 [size =\"31449088\"]\n  16 [size=\"52815360\", alpha=\"0.16\", expect_size=\"21126144\"] \n  16 -> 17 [size =\"21126144\"]\n  17 [size=\"53923840\", alpha=\"0.19\", expect_size=\"21569536\"] \n  17 -> 18 [size =\"21569536\"]\n  18 [size=\"74378240\", alpha=\"0.02\", expect_size=\"29751296\"] \n  18 -> 19 [size =\"29751296\"]\n  19 [size=\"33512960\", alpha=\"0.15\", expect_size=\"13405184\"] \n  19 -> 20 [size =\"13405184\"]\n  20 [size=\"52997120\", alpha=\"0.14\", expect_size=\"21198848\"] \n  20 -> 21 [size =\"21198848\"]\n  21 [size=\"85562880\", alpha=\"0.12\", expect_size=\"34225152\"] \n  21 -> 22 [size =\"34225152\"]\n  22 [size=\"106048000\", alpha=\"0.10\", expect_size=\"42419200\"] \n  22 -> 23 [size =\"42419200\"]\n  23 [size=\"110891520\", alpha=\"0.15\", expect_size=\"44356608\"] \n  23 -> 24 [size =\"44356608\"]\n  24 [size=\"24243200\", alpha=\"0.17\", expect_size=\"9697280\"] \n  24 -> 25 [size =\"9697280\"]\n  25 [size=\"110789120\", alpha=\"0.15\", expect_size=\"44315648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97009664\", alpha=\"0.02\", expect_size=\"48504832\"] \n  1 -> 13 [size =\"48504832\"]\n  1 -> 14 [size =\"48504832\"]\n  1 -> 16 [size =\"48504832\"]\n  1 -> 17 [size =\"48504832\"]\n  1 -> 18 [size =\"48504832\"]\n  1 -> 20 [size =\"48504832\"]\n  1 -> 22 [size =\"48504832\"]\n  1 -> 25 [size =\"48504832\"]\n  2 [size=\"17766400\", alpha=\"0.02\", expect_size=\"8883200\"] \n  2 -> 13 [size =\"8883200\"]\n  2 -> 16 [size =\"8883200\"]\n  2 -> 18 [size =\"8883200\"]\n  2 -> 19 [size =\"8883200\"]\n  2 -> 23 [size =\"8883200\"]\n  2 -> 24 [size =\"8883200\"]\n  2 -> 25 [size =\"8883200\"]\n  3 [size=\"32018432\", alpha=\"0.02\", expect_size=\"16009216\"] \n  3 -> 13 [size =\"16009216\"]\n  3 -> 14 [size =\"16009216\"]\n  3 -> 16 [size =\"16009216\"]\n  3 -> 17 [size =\"16009216\"]\n  3 -> 18 [size =\"16009216\"]\n  3 -> 21 [size =\"16009216\"]\n  3 -> 22 [size =\"16009216\"]\n  3 -> 24 [size =\"16009216\"]\n  3 -> 25 [size =\"16009216\"]\n  4 [size=\"61755392\", alpha=\"0.14\", expect_size=\"30877696\"] \n  4 -> 17 [size =\"30877696\"]\n  4 -> 18 [size =\"30877696\"]\n  4 -> 19 [size =\"30877696\"]\n  4 -> 20 [size =\"30877696\"]\n  4 -> 21 [size =\"30877696\"]\n  4 -> 24 [size =\"30877696\"]\n  5 [size=\"70594560\", alpha=\"0.07\", expect_size=\"35297280\"] \n  5 -> 13 [size =\"35297280\"]\n  5 -> 15 [size =\"35297280\"]\n  5 -> 16 [size =\"35297280\"]\n  5 -> 17 [size =\"35297280\"]\n  5 -> 18 [size =\"35297280\"]\n  5 -> 19 [size =\"35297280\"]\n  6 [size=\"57358336\", alpha=\"0.16\", expect_size=\"28679168\"] \n  6 -> 16 [size =\"28679168\"]\n  6 -> 17 [size =\"28679168\"]\n  6 -> 18 [size =\"28679168\"]\n  6 -> 19 [size =\"28679168\"]\n  6 -> 20 [size =\"28679168\"]\n  6 -> 24 [size =\"28679168\"]\n  6 -> 25 [size =\"28679168\"]\n  7 [size=\"71084032\", alpha=\"0.04\", expect_size=\"35542016\"] \n  7 -> 14 [size =\"35542016\"]\n  7 -> 18 [size =\"35542016\"]\n  7 -> 19 [size =\"35542016\"]\n  7 -> 19 [size =\"35542016\"]\n  7 -> 20 [size =\"35542016\"]\n  7 -> 21 [size =\"35542016\"]\n  7 -> 24 [size =\"35542016\"]\n  7 -> 25 [size =\"35542016\"]\n  8 [size=\"89430016\", alpha=\"0.08\", expect_size=\"44715008\"] \n  8 -> 13 [size =\"44715008\"]\n  8 -> 14 [size =\"44715008\"]\n  8 -> 16 [size =\"44715008\"]\n  8 -> 17 [size =\"44715008\"]\n  8 -> 18 [size =\"44715008\"]\n  8 -> 19 [size =\"44715008\"]\n  8 -> 21 [size =\"44715008\"]\n  8 -> 23 [size =\"44715008\"]\n  8 -> 24 [size =\"44715008\"]\n  8 -> 25 [size =\"44715008\"]\n  9 [size=\"85757952\", alpha=\"0.14\", expect_size=\"42878976\"] \n  9 -> 14 [size =\"42878976\"]\n  9 -> 14 [size =\"42878976\"]\n  9 -> 16 [size =\"42878976\"]\n  9 -> 17 [size =\"42878976\"]\n  9 -> 19 [size =\"42878976\"]\n  9 -> 21 [size =\"42878976\"]\n  9 -> 21 [size =\"42878976\"]\n  9 -> 22 [size =\"42878976\"]\n  9 -> 23 [size =\"42878976\"]\n  9 -> 24 [size =\"42878976\"]\n  9 -> 25 [size =\"42878976\"]\n  10 [size=\"55048192\", alpha=\"0.14\", expect_size=\"27524096\"] \n  10 -> 14 [size =\"27524096\"]\n  10 -> 16 [size =\"27524096\"]\n  10 -> 17 [size =\"27524096\"]\n  10 -> 17 [size =\"27524096\"]\n  10 -> 18 [size =\"27524096\"]\n  10 -> 20 [size =\"27524096\"]\n  10 -> 22 [size =\"27524096\"]\n  10 -> 23 [size =\"27524096\"]\n  10 -> 24 [size =\"27524096\"]\n  10 -> 24 [size =\"27524096\"]\n  10 -> 25 [size =\"27524096\"]\n  11 [size=\"24776704\", alpha=\"0.06\", expect_size=\"12388352\"] \n  11 -> 16 [size =\"12388352\"]\n  11 -> 17 [size =\"12388352\"]\n  11 -> 18 [size =\"12388352\"]\n  11 -> 19 [size =\"12388352\"]\n  11 -> 20 [size =\"12388352\"]\n  11 -> 23 [size =\"12388352\"]\n  11 -> 24 [size =\"12388352\"]\n  11 -> 25 [size =\"12388352\"]\n  12 [size=\"34885632\", alpha=\"0.02\", expect_size=\"17442816\"] \n  12 -> 14 [size =\"17442816\"]\n  12 -> 17 [size =\"17442816\"]\n  12 -> 18 [size =\"17442816\"]\n  12 -> 20 [size =\"17442816\"]\n  12 -> 22 [size =\"17442816\"]\n  12 -> 23 [size =\"17442816\"]\n  12 -> 24 [size =\"17442816\"]\n  12 -> 25 [size =\"17442816\"]\n  13 [size=\"42936320\", alpha=\"0.15\", expect_size=\"21468160\"] \n  14 [size=\"54605824\", alpha=\"0.12\", expect_size=\"27302912\"] \n  15 [size=\"23996416\", alpha=\"0.06\", expect_size=\"11998208\"] \n  16 [size=\"57960448\", alpha=\"0.06\", expect_size=\"28980224\"] \n  17 [size=\"37847040\", alpha=\"0.17\", expect_size=\"18923520\"] \n  18 [size=\"57200640\", alpha=\"0.13\", expect_size=\"28600320\"] \n  19 [size=\"92905472\", alpha=\"0.01\", expect_size=\"46452736\"] \n  20 [size=\"64643072\", alpha=\"0.19\", expect_size=\"32321536\"] \n  21 [size=\"38457344\", alpha=\"0.16\", expect_size=\"19228672\"] \n  22 [size=\"67856384\", alpha=\"0.14\", expect_size=\"33928192\"] \n  23 [size=\"76083200\", alpha=\"0.16\", expect_size=\"38041600\"] \n  24 [size=\"53432320\", alpha=\"0.10\", expect_size=\"26716160\"] \n  25 [size=\"13737984\", alpha=\"0.16\", expect_size=\"6868992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55525376\", alpha=\"0.10\", expect_size=\"27762688\"] \n  1 -> 11 [size =\"27762688\"]\n  1 -> 13 [size =\"27762688\"]\n  2 [size=\"27265024\", alpha=\"0.17\", expect_size=\"13632512\"] \n  2 -> 11 [size =\"13632512\"]\n  3 [size=\"24219648\", alpha=\"0.13\", expect_size=\"12109824\"] \n  3 -> 11 [size =\"12109824\"]\n  3 -> 15 [size =\"12109824\"]\n  4 [size=\"84355072\", alpha=\"0.03\", expect_size=\"42177536\"] \n  4 -> 12 [size =\"42177536\"]\n  4 -> 14 [size =\"42177536\"]\n  5 [size=\"79134720\", alpha=\"0.18\", expect_size=\"39567360\"] \n  6 [size=\"68597760\", alpha=\"0.03\", expect_size=\"34298880\"] \n  7 [size=\"21532672\", alpha=\"0.05\", expect_size=\"10766336\"] \n  7 -> 11 [size =\"10766336\"]\n  8 [size=\"90200064\", alpha=\"0.06\", expect_size=\"45100032\"] \n  9 [size=\"47757312\", alpha=\"0.13\", expect_size=\"23878656\"] \n  9 -> 12 [size =\"23878656\"]\n  9 -> 16 [size =\"23878656\"]\n  10 [size=\"23289856\", alpha=\"0.13\", expect_size=\"11644928\"] \n  10 -> 12 [size =\"11644928\"]\n  11 [size=\"45142016\", alpha=\"0.04\", expect_size=\"22571008\"] \n  11 -> 20 [size =\"22571008\"]\n  12 [size=\"92383232\", alpha=\"0.01\", expect_size=\"46191616\"] \n  12 -> 18 [size =\"46191616\"]\n  12 -> 21 [size =\"46191616\"]\n  12 -> 22 [size =\"46191616\"]\n  13 [size=\"77815808\", alpha=\"0.18\", expect_size=\"38907904\"] \n  13 -> 18 [size =\"38907904\"]\n  13 -> 21 [size =\"38907904\"]\n  14 [size=\"42543104\", alpha=\"0.01\", expect_size=\"21271552\"] \n  14 -> 18 [size =\"21271552\"]\n  14 -> 19 [size =\"21271552\"]\n  14 -> 21 [size =\"21271552\"]\n  14 -> 22 [size =\"21271552\"]\n  15 [size=\"56137728\", alpha=\"0.11\", expect_size=\"28068864\"] \n  15 -> 17 [size =\"28068864\"]\n  15 -> 19 [size =\"28068864\"]\n  15 -> 20 [size =\"28068864\"]\n  16 [size=\"47831040\", alpha=\"0.17\", expect_size=\"23915520\"] \n  16 -> 19 [size =\"23915520\"]\n  16 -> 20 [size =\"23915520\"]\n  17 [size=\"62722048\", alpha=\"0.09\", expect_size=\"31361024\"] \n  18 [size=\"86810624\", alpha=\"0.03\", expect_size=\"43405312\"] \n  18 -> 24 [size =\"43405312\"]\n  19 [size=\"22403072\", alpha=\"0.06\", expect_size=\"11201536\"] \n  20 [size=\"83693568\", alpha=\"0.08\", expect_size=\"41846784\"] \n  21 [size=\"52926464\", alpha=\"0.20\", expect_size=\"26463232\"] \n  21 -> 25 [size =\"26463232\"]\n  22 [size=\"71380992\", alpha=\"0.15\", expect_size=\"35690496\"] \n  22 -> 23 [size =\"35690496\"]\n  22 -> 25 [size =\"35690496\"]\n  23 [size=\"74964992\", alpha=\"0.14\", expect_size=\"37482496\"] \n  24 [size=\"66369536\", alpha=\"0.08\", expect_size=\"33184768\"] \n  25 [size=\"69541888\", alpha=\"0.16\", expect_size=\"34770944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97886720\", alpha=\"0.19\", expect_size=\"39154688\"] \n  1 -> 7 [size =\"39154688\"]\n  1 -> 8 [size =\"39154688\"]\n  2 [size=\"73292800\", alpha=\"0.14\", expect_size=\"29317120\"] \n  2 -> 6 [size =\"29317120\"]\n  2 -> 7 [size =\"29317120\"]\n  2 -> 8 [size =\"29317120\"]\n  3 [size=\"122001920\", alpha=\"0.12\", expect_size=\"48800768\"] \n  3 -> 8 [size =\"48800768\"]\n  4 [size=\"19765760\", alpha=\"0.01\", expect_size=\"7906304\"] \n  4 -> 6 [size =\"7906304\"]\n  5 [size=\"47349760\", alpha=\"0.09\", expect_size=\"18939904\"] \n  5 -> 7 [size =\"18939904\"]\n  5 -> 8 [size =\"18939904\"]\n  6 [size=\"102353920\", alpha=\"0.06\", expect_size=\"40941568\"] \n  6 -> 9 [size =\"40941568\"]\n  7 [size=\"96025600\", alpha=\"0.03\", expect_size=\"38410240\"] \n  8 [size=\"36088320\", alpha=\"0.04\", expect_size=\"14435328\"] \n  8 -> 10 [size =\"14435328\"]\n  9 [size=\"115166720\", alpha=\"0.11\", expect_size=\"46066688\"] \n  9 -> 11 [size =\"46066688\"]\n  9 -> 12 [size =\"46066688\"]\n  9 -> 13 [size =\"46066688\"]\n  9 -> 14 [size =\"46066688\"]\n  9 -> 15 [size =\"46066688\"]\n  10 [size=\"130109440\", alpha=\"0.08\", expect_size=\"52043776\"] \n  10 -> 11 [size =\"52043776\"]\n  10 -> 12 [size =\"52043776\"]\n  10 -> 14 [size =\"52043776\"]\n  10 -> 15 [size =\"52043776\"]\n  11 [size=\"125337600\", alpha=\"0.13\", expect_size=\"50135040\"] \n  11 -> 17 [size =\"50135040\"]\n  11 -> 19 [size =\"50135040\"]\n  12 [size=\"119331840\", alpha=\"0.06\", expect_size=\"47732736\"] \n  12 -> 16 [size =\"47732736\"]\n  12 -> 18 [size =\"47732736\"]\n  13 [size=\"82726400\", alpha=\"0.14\", expect_size=\"33090560\"] \n  13 -> 17 [size =\"33090560\"]\n  13 -> 20 [size =\"33090560\"]\n  14 [size=\"35773440\", alpha=\"0.16\", expect_size=\"14309376\"] \n  14 -> 20 [size =\"14309376\"]\n  15 [size=\"41922560\", alpha=\"0.14\", expect_size=\"16769024\"] \n  16 [size=\"92610560\", alpha=\"0.05\", expect_size=\"37044224\"] \n  16 -> 22 [size =\"37044224\"]\n  17 [size=\"130214400\", alpha=\"0.01\", expect_size=\"52085760\"] \n  17 -> 23 [size =\"52085760\"]\n  17 -> 25 [size =\"52085760\"]\n  18 [size=\"28060160\", alpha=\"0.02\", expect_size=\"11224064\"] \n  18 -> 21 [size =\"11224064\"]\n  18 -> 22 [size =\"11224064\"]\n  19 [size=\"54530560\", alpha=\"0.02\", expect_size=\"21812224\"] \n  19 -> 25 [size =\"21812224\"]\n  20 [size=\"120033280\", alpha=\"0.00\", expect_size=\"48013312\"] \n  20 -> 22 [size =\"48013312\"]\n  20 -> 24 [size =\"48013312\"]\n  21 [size=\"48988160\", alpha=\"0.12\", expect_size=\"19595264\"] \n  22 [size=\"127104000\", alpha=\"0.15\", expect_size=\"50841600\"] \n  23 [size=\"47193600\", alpha=\"0.16\", expect_size=\"18877440\"] \n  24 [size=\"130240000\", alpha=\"0.18\", expect_size=\"52096000\"] \n  25 [size=\"105320960\", alpha=\"0.05\", expect_size=\"42128384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11862016\", alpha=\"0.18\", expect_size=\"5931008\"] \n  1 -> 11 [size =\"5931008\"]\n  1 -> 12 [size =\"5931008\"]\n  1 -> 13 [size =\"5931008\"]\n  1 -> 15 [size =\"5931008\"]\n  1 -> 17 [size =\"5931008\"]\n  2 [size=\"52756480\", alpha=\"0.11\", expect_size=\"26378240\"] \n  2 -> 13 [size =\"26378240\"]\n  2 -> 14 [size =\"26378240\"]\n  2 -> 15 [size =\"26378240\"]\n  2 -> 15 [size =\"26378240\"]\n  2 -> 16 [size =\"26378240\"]\n  2 -> 17 [size =\"26378240\"]\n  3 [size=\"28258304\", alpha=\"0.10\", expect_size=\"14129152\"] \n  3 -> 9 [size =\"14129152\"]\n  3 -> 11 [size =\"14129152\"]\n  3 -> 12 [size =\"14129152\"]\n  3 -> 13 [size =\"14129152\"]\n  3 -> 14 [size =\"14129152\"]\n  3 -> 16 [size =\"14129152\"]\n  4 [size=\"79982592\", alpha=\"0.02\", expect_size=\"39991296\"] \n  5 [size=\"56596480\", alpha=\"0.12\", expect_size=\"28298240\"] \n  5 -> 10 [size =\"28298240\"]\n  5 -> 11 [size =\"28298240\"]\n  6 [size=\"75816960\", alpha=\"0.02\", expect_size=\"37908480\"] \n  6 -> 11 [size =\"37908480\"]\n  6 -> 13 [size =\"37908480\"]\n  6 -> 15 [size =\"37908480\"]\n  6 -> 16 [size =\"37908480\"]\n  6 -> 17 [size =\"37908480\"]\n  7 [size=\"93884416\", alpha=\"0.01\", expect_size=\"46942208\"] \n  7 -> 10 [size =\"46942208\"]\n  7 -> 11 [size =\"46942208\"]\n  7 -> 12 [size =\"46942208\"]\n  7 -> 13 [size =\"46942208\"]\n  7 -> 14 [size =\"46942208\"]\n  7 -> 15 [size =\"46942208\"]\n  7 -> 16 [size =\"46942208\"]\n  8 [size=\"27887616\", alpha=\"0.01\", expect_size=\"13943808\"] \n  8 -> 10 [size =\"13943808\"]\n  8 -> 11 [size =\"13943808\"]\n  8 -> 12 [size =\"13943808\"]\n  8 -> 15 [size =\"13943808\"]\n  8 -> 16 [size =\"13943808\"]\n  9 [size=\"21078016\", alpha=\"0.17\", expect_size=\"10539008\"] \n  9 -> 22 [size =\"10539008\"]\n  9 -> 23 [size =\"10539008\"]\n  10 [size=\"69787648\", alpha=\"0.11\", expect_size=\"34893824\"] \n  10 -> 19 [size =\"34893824\"]\n  10 -> 20 [size =\"34893824\"]\n  10 -> 23 [size =\"34893824\"]\n  11 [size=\"45000704\", alpha=\"0.05\", expect_size=\"22500352\"] \n  11 -> 18 [size =\"22500352\"]\n  11 -> 19 [size =\"22500352\"]\n  11 -> 20 [size =\"22500352\"]\n  11 -> 23 [size =\"22500352\"]\n  11 -> 24 [size =\"22500352\"]\n  12 [size=\"36257792\", alpha=\"0.12\", expect_size=\"18128896\"] \n  12 -> 19 [size =\"18128896\"]\n  12 -> 21 [size =\"18128896\"]\n  12 -> 23 [size =\"18128896\"]\n  12 -> 24 [size =\"18128896\"]\n  12 -> 24 [size =\"18128896\"]\n  13 [size=\"89780224\", alpha=\"0.06\", expect_size=\"44890112\"] \n  13 -> 21 [size =\"44890112\"]\n  13 -> 23 [size =\"44890112\"]\n  14 [size=\"44627968\", alpha=\"0.06\", expect_size=\"22313984\"] \n  14 -> 20 [size =\"22313984\"]\n  14 -> 25 [size =\"22313984\"]\n  15 [size=\"53534720\", alpha=\"0.15\", expect_size=\"26767360\"] \n  15 -> 20 [size =\"26767360\"]\n  15 -> 23 [size =\"26767360\"]\n  16 [size=\"14954496\", alpha=\"0.10\", expect_size=\"7477248\"] \n  16 -> 20 [size =\"7477248\"]\n  16 -> 24 [size =\"7477248\"]\n  17 [size=\"23109632\", alpha=\"0.09\", expect_size=\"11554816\"] \n  17 -> 18 [size =\"11554816\"]\n  17 -> 20 [size =\"11554816\"]\n  17 -> 22 [size =\"11554816\"]\n  17 -> 23 [size =\"11554816\"]\n  17 -> 24 [size =\"11554816\"]\n  17 -> 25 [size =\"11554816\"]\n  18 [size=\"30164992\", alpha=\"0.04\", expect_size=\"15082496\"] \n  19 [size=\"36708352\", alpha=\"0.09\", expect_size=\"18354176\"] \n  20 [size=\"24461312\", alpha=\"0.18\", expect_size=\"12230656\"] \n  21 [size=\"74489856\", alpha=\"0.08\", expect_size=\"37244928\"] \n  22 [size=\"97529856\", alpha=\"0.06\", expect_size=\"48764928\"] \n  23 [size=\"60047360\", alpha=\"0.08\", expect_size=\"30023680\"] \n  24 [size=\"87166976\", alpha=\"0.05\", expect_size=\"43583488\"] \n  25 [size=\"19101696\", alpha=\"0.11\", expect_size=\"9550848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85644800\", alpha=\"0.02\", expect_size=\"34257920\"] \n  1 -> 2 [size =\"34257920\"]\n  2 [size=\"39744000\", alpha=\"0.17\", expect_size=\"15897600\"] \n  2 -> 3 [size =\"15897600\"]\n  2 -> 4 [size =\"15897600\"]\n  3 [size=\"108776960\", alpha=\"0.04\", expect_size=\"43510784\"] \n  3 -> 5 [size =\"43510784\"]\n  3 -> 6 [size =\"43510784\"]\n  4 [size=\"128957440\", alpha=\"0.19\", expect_size=\"51582976\"] \n  4 -> 5 [size =\"51582976\"]\n  4 -> 6 [size =\"51582976\"]\n  5 [size=\"70927360\", alpha=\"0.07\", expect_size=\"28370944\"] \n  5 -> 7 [size =\"28370944\"]\n  6 [size=\"128112640\", alpha=\"0.20\", expect_size=\"51245056\"] \n  6 -> 7 [size =\"51245056\"]\n  7 [size=\"19635200\", alpha=\"0.03\", expect_size=\"7854080\"] \n  7 -> 8 [size =\"7854080\"]\n  8 [size=\"13340160\", alpha=\"0.10\", expect_size=\"5336064\"] \n  8 -> 9 [size =\"5336064\"]\n  9 [size=\"95997440\", alpha=\"0.01\", expect_size=\"38398976\"] \n  9 -> 10 [size =\"38398976\"]\n  9 -> 11 [size =\"38398976\"]\n  10 [size=\"106772480\", alpha=\"0.19\", expect_size=\"42708992\"] \n  11 [size=\"25912320\", alpha=\"0.10\", expect_size=\"10364928\"] \n  11 -> 12 [size =\"10364928\"]\n  12 [size=\"35793920\", alpha=\"0.20\", expect_size=\"14317568\"] \n  12 -> 13 [size =\"14317568\"]\n  13 [size=\"15769600\", alpha=\"0.12\", expect_size=\"6307840\"] \n  13 -> 14 [size =\"6307840\"]\n  13 -> 15 [size =\"6307840\"]\n  14 [size=\"41256960\", alpha=\"0.12\", expect_size=\"16502784\"] \n  14 -> 17 [size =\"16502784\"]\n  15 [size=\"34734080\", alpha=\"0.09\", expect_size=\"13893632\"] \n  15 -> 16 [size =\"13893632\"]\n  15 -> 17 [size =\"13893632\"]\n  16 [size=\"74176000\", alpha=\"0.02\", expect_size=\"29670400\"] \n  16 -> 18 [size =\"29670400\"]\n  16 -> 19 [size =\"29670400\"]\n  17 [size=\"72409600\", alpha=\"0.03\", expect_size=\"28963840\"] \n  17 -> 18 [size =\"28963840\"]\n  17 -> 19 [size =\"28963840\"]\n  18 [size=\"90099200\", alpha=\"0.07\", expect_size=\"36039680\"] \n  18 -> 20 [size =\"36039680\"]\n  19 [size=\"31296000\", alpha=\"0.08\", expect_size=\"12518400\"] \n  19 -> 20 [size =\"12518400\"]\n  20 [size=\"35217920\", alpha=\"0.00\", expect_size=\"14087168\"] \n  20 -> 21 [size =\"14087168\"]\n  20 -> 22 [size =\"14087168\"]\n  21 [size=\"27246080\", alpha=\"0.05\", expect_size=\"10898432\"] \n  21 -> 23 [size =\"10898432\"]\n  22 [size=\"86341120\", alpha=\"0.14\", expect_size=\"34536448\"] \n  22 -> 23 [size =\"34536448\"]\n  22 -> 24 [size =\"34536448\"]\n  23 [size=\"84121600\", alpha=\"0.19\", expect_size=\"33648640\"] \n  23 -> 25 [size =\"33648640\"]\n  24 [size=\"38215680\", alpha=\"0.04\", expect_size=\"15286272\"] \n  24 -> 25 [size =\"15286272\"]\n  25 [size=\"108746240\", alpha=\"0.19\", expect_size=\"43498496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84170240\", alpha=\"0.02\", expect_size=\"33668096\"] \n  1 -> 2 [size =\"33668096\"]\n  2 [size=\"73730560\", alpha=\"0.04\", expect_size=\"29492224\"] \n  2 -> 3 [size =\"29492224\"]\n  3 [size=\"100887040\", alpha=\"0.06\", expect_size=\"40354816\"] \n  3 -> 4 [size =\"40354816\"]\n  4 [size=\"43205120\", alpha=\"0.06\", expect_size=\"17282048\"] \n  4 -> 5 [size =\"17282048\"]\n  5 [size=\"51622400\", alpha=\"0.02\", expect_size=\"20648960\"] \n  5 -> 6 [size =\"20648960\"]\n  6 [size=\"25569280\", alpha=\"0.11\", expect_size=\"10227712\"] \n  6 -> 7 [size =\"10227712\"]\n  7 [size=\"104550400\", alpha=\"0.08\", expect_size=\"41820160\"] \n  7 -> 8 [size =\"41820160\"]\n  8 [size=\"13516800\", alpha=\"0.18\", expect_size=\"5406720\"] \n  8 -> 9 [size =\"5406720\"]\n  9 [size=\"111669760\", alpha=\"0.04\", expect_size=\"44667904\"] \n  9 -> 10 [size =\"44667904\"]\n  10 [size=\"95019520\", alpha=\"0.03\", expect_size=\"38007808\"] \n  10 -> 11 [size =\"38007808\"]\n  11 [size=\"21800960\", alpha=\"0.01\", expect_size=\"8720384\"] \n  11 -> 12 [size =\"8720384\"]\n  12 [size=\"30786560\", alpha=\"0.06\", expect_size=\"12314624\"] \n  12 -> 13 [size =\"12314624\"]\n  13 [size=\"54187520\", alpha=\"0.02\", expect_size=\"21675008\"] \n  13 -> 14 [size =\"21675008\"]\n  14 [size=\"89198080\", alpha=\"0.16\", expect_size=\"35679232\"] \n  14 -> 15 [size =\"35679232\"]\n  15 [size=\"125409280\", alpha=\"0.13\", expect_size=\"50163712\"] \n  15 -> 16 [size =\"50163712\"]\n  16 [size=\"16373760\", alpha=\"0.14\", expect_size=\"6549504\"] \n  16 -> 17 [size =\"6549504\"]\n  17 [size=\"79779840\", alpha=\"0.06\", expect_size=\"31911936\"] \n  17 -> 18 [size =\"31911936\"]\n  18 [size=\"129093120\", alpha=\"0.09\", expect_size=\"51637248\"] \n  18 -> 19 [size =\"51637248\"]\n  19 [size=\"117731840\", alpha=\"0.06\", expect_size=\"47092736\"] \n  19 -> 20 [size =\"47092736\"]\n  20 [size=\"23257600\", alpha=\"0.02\", expect_size=\"9303040\"] \n  20 -> 21 [size =\"9303040\"]\n  21 [size=\"40980480\", alpha=\"0.10\", expect_size=\"16392192\"] \n  21 -> 22 [size =\"16392192\"]\n  22 [size=\"44544000\", alpha=\"0.08\", expect_size=\"17817600\"] \n  22 -> 23 [size =\"17817600\"]\n  23 [size=\"78497280\", alpha=\"0.01\", expect_size=\"31398912\"] \n  23 -> 24 [size =\"31398912\"]\n  24 [size=\"90647040\", alpha=\"0.19\", expect_size=\"36258816\"] \n  24 -> 25 [size =\"36258816\"]\n  25 [size=\"66170880\", alpha=\"0.04\", expect_size=\"26468352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38348800\", alpha=\"0.06\", expect_size=\"19174400\"] \n  1 -> 9 [size =\"19174400\"]\n  1 -> 10 [size =\"19174400\"]\n  1 -> 14 [size =\"19174400\"]\n  1 -> 16 [size =\"19174400\"]\n  1 -> 17 [size =\"19174400\"]\n  2 [size=\"94679040\", alpha=\"0.06\", expect_size=\"47339520\"] \n  2 -> 9 [size =\"47339520\"]\n  2 -> 11 [size =\"47339520\"]\n  2 -> 16 [size =\"47339520\"]\n  2 -> 17 [size =\"47339520\"]\n  2 -> 17 [size =\"47339520\"]\n  3 [size=\"13039616\", alpha=\"0.03\", expect_size=\"6519808\"] \n  3 -> 9 [size =\"6519808\"]\n  3 -> 10 [size =\"6519808\"]\n  3 -> 11 [size =\"6519808\"]\n  3 -> 14 [size =\"6519808\"]\n  3 -> 16 [size =\"6519808\"]\n  4 [size=\"89909248\", alpha=\"0.01\", expect_size=\"44954624\"] \n  4 -> 10 [size =\"44954624\"]\n  4 -> 13 [size =\"44954624\"]\n  4 -> 14 [size =\"44954624\"]\n  4 -> 16 [size =\"44954624\"]\n  4 -> 17 [size =\"44954624\"]\n  5 [size=\"41345024\", alpha=\"0.03\", expect_size=\"20672512\"] \n  5 -> 9 [size =\"20672512\"]\n  5 -> 10 [size =\"20672512\"]\n  5 -> 11 [size =\"20672512\"]\n  5 -> 12 [size =\"20672512\"]\n  5 -> 13 [size =\"20672512\"]\n  5 -> 14 [size =\"20672512\"]\n  5 -> 16 [size =\"20672512\"]\n  6 [size=\"54370304\", alpha=\"0.08\", expect_size=\"27185152\"] \n  6 -> 9 [size =\"27185152\"]\n  6 -> 10 [size =\"27185152\"]\n  6 -> 12 [size =\"27185152\"]\n  6 -> 13 [size =\"27185152\"]\n  6 -> 13 [size =\"27185152\"]\n  6 -> 17 [size =\"27185152\"]\n  7 [size=\"19972096\", alpha=\"0.01\", expect_size=\"9986048\"] \n  7 -> 9 [size =\"9986048\"]\n  7 -> 11 [size =\"9986048\"]\n  7 -> 13 [size =\"9986048\"]\n  7 -> 16 [size =\"9986048\"]\n  7 -> 17 [size =\"9986048\"]\n  7 -> 17 [size =\"9986048\"]\n  8 [size=\"67356672\", alpha=\"0.08\", expect_size=\"33678336\"] \n  8 -> 9 [size =\"33678336\"]\n  8 -> 11 [size =\"33678336\"]\n  8 -> 13 [size =\"33678336\"]\n  8 -> 14 [size =\"33678336\"]\n  8 -> 15 [size =\"33678336\"]\n  8 -> 16 [size =\"33678336\"]\n  8 -> 17 [size =\"33678336\"]\n  9 [size=\"94861312\", alpha=\"0.13\", expect_size=\"47430656\"] \n  9 -> 18 [size =\"47430656\"]\n  9 -> 19 [size =\"47430656\"]\n  9 -> 20 [size =\"47430656\"]\n  9 -> 23 [size =\"47430656\"]\n  9 -> 25 [size =\"47430656\"]\n  10 [size=\"19193856\", alpha=\"0.09\", expect_size=\"9596928\"] \n  10 -> 18 [size =\"9596928\"]\n  10 -> 19 [size =\"9596928\"]\n  10 -> 20 [size =\"9596928\"]\n  10 -> 23 [size =\"9596928\"]\n  10 -> 25 [size =\"9596928\"]\n  11 [size=\"61458432\", alpha=\"0.08\", expect_size=\"30729216\"] \n  11 -> 18 [size =\"30729216\"]\n  11 -> 19 [size =\"30729216\"]\n  11 -> 20 [size =\"30729216\"]\n  11 -> 23 [size =\"30729216\"]\n  11 -> 24 [size =\"30729216\"]\n  12 [size=\"88889344\", alpha=\"0.09\", expect_size=\"44444672\"] \n  12 -> 20 [size =\"44444672\"]\n  12 -> 22 [size =\"44444672\"]\n  12 -> 23 [size =\"44444672\"]\n  13 [size=\"21817344\", alpha=\"0.13\", expect_size=\"10908672\"] \n  13 -> 19 [size =\"10908672\"]\n  13 -> 20 [size =\"10908672\"]\n  13 -> 23 [size =\"10908672\"]\n  13 -> 24 [size =\"10908672\"]\n  13 -> 25 [size =\"10908672\"]\n  14 [size=\"37816320\", alpha=\"0.17\", expect_size=\"18908160\"] \n  14 -> 18 [size =\"18908160\"]\n  14 -> 20 [size =\"18908160\"]\n  14 -> 21 [size =\"18908160\"]\n  14 -> 23 [size =\"18908160\"]\n  15 [size=\"43622400\", alpha=\"0.11\", expect_size=\"21811200\"] \n  15 -> 18 [size =\"21811200\"]\n  15 -> 19 [size =\"21811200\"]\n  15 -> 20 [size =\"21811200\"]\n  15 -> 21 [size =\"21811200\"]\n  15 -> 23 [size =\"21811200\"]\n  15 -> 25 [size =\"21811200\"]\n  16 [size=\"57718784\", alpha=\"0.09\", expect_size=\"28859392\"] \n  16 -> 18 [size =\"28859392\"]\n  16 -> 19 [size =\"28859392\"]\n  16 -> 23 [size =\"28859392\"]\n  16 -> 25 [size =\"28859392\"]\n  17 [size=\"93343744\", alpha=\"0.14\", expect_size=\"46671872\"] \n  17 -> 18 [size =\"46671872\"]\n  17 -> 19 [size =\"46671872\"]\n  17 -> 21 [size =\"46671872\"]\n  17 -> 23 [size =\"46671872\"]\n  18 [size=\"99149824\", alpha=\"0.08\", expect_size=\"49574912\"] \n  19 [size=\"43608064\", alpha=\"0.01\", expect_size=\"21804032\"] \n  20 [size=\"103030784\", alpha=\"0.16\", expect_size=\"51515392\"] \n  21 [size=\"50466816\", alpha=\"0.17\", expect_size=\"25233408\"] \n  22 [size=\"87699456\", alpha=\"0.16\", expect_size=\"43849728\"] \n  23 [size=\"34377728\", alpha=\"0.15\", expect_size=\"17188864\"] \n  24 [size=\"96602112\", alpha=\"0.12\", expect_size=\"48301056\"] \n  25 [size=\"83402752\", alpha=\"0.14\", expect_size=\"41701376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122946560\", alpha=\"0.05\", expect_size=\"49178624\"] \n  1 -> 10 [size =\"49178624\"]\n  1 -> 13 [size =\"49178624\"]\n  1 -> 15 [size =\"49178624\"]\n  1 -> 16 [size =\"49178624\"]\n  1 -> 17 [size =\"49178624\"]\n  2 [size=\"25966080\", alpha=\"0.18\", expect_size=\"10386432\"] \n  2 -> 10 [size =\"10386432\"]\n  2 -> 12 [size =\"10386432\"]\n  2 -> 13 [size =\"10386432\"]\n  2 -> 17 [size =\"10386432\"]\n  3 [size=\"35545600\", alpha=\"0.10\", expect_size=\"14218240\"] \n  3 -> 10 [size =\"14218240\"]\n  3 -> 11 [size =\"14218240\"]\n  3 -> 12 [size =\"14218240\"]\n  3 -> 15 [size =\"14218240\"]\n  3 -> 16 [size =\"14218240\"]\n  3 -> 17 [size =\"14218240\"]\n  4 [size=\"29245440\", alpha=\"0.11\", expect_size=\"11698176\"] \n  4 -> 11 [size =\"11698176\"]\n  4 -> 11 [size =\"11698176\"]\n  4 -> 16 [size =\"11698176\"]\n  4 -> 17 [size =\"11698176\"]\n  5 [size=\"100093440\", alpha=\"0.03\", expect_size=\"40037376\"] \n  5 -> 10 [size =\"40037376\"]\n  5 -> 12 [size =\"40037376\"]\n  5 -> 14 [size =\"40037376\"]\n  5 -> 15 [size =\"40037376\"]\n  5 -> 16 [size =\"40037376\"]\n  6 [size=\"112309760\", alpha=\"0.00\", expect_size=\"44923904\"] \n  6 -> 11 [size =\"44923904\"]\n  6 -> 12 [size =\"44923904\"]\n  6 -> 14 [size =\"44923904\"]\n  6 -> 15 [size =\"44923904\"]\n  6 -> 16 [size =\"44923904\"]\n  7 [size=\"36277760\", alpha=\"0.16\", expect_size=\"14511104\"] \n  7 -> 10 [size =\"14511104\"]\n  7 -> 11 [size =\"14511104\"]\n  7 -> 12 [size =\"14511104\"]\n  7 -> 13 [size =\"14511104\"]\n  7 -> 14 [size =\"14511104\"]\n  7 -> 17 [size =\"14511104\"]\n  8 [size=\"77614080\", alpha=\"0.16\", expect_size=\"31045632\"] \n  8 -> 10 [size =\"31045632\"]\n  8 -> 11 [size =\"31045632\"]\n  8 -> 15 [size =\"31045632\"]\n  8 -> 17 [size =\"31045632\"]\n  9 [size=\"103598080\", alpha=\"0.15\", expect_size=\"41439232\"] \n  9 -> 13 [size =\"41439232\"]\n  9 -> 15 [size =\"41439232\"]\n  9 -> 16 [size =\"41439232\"]\n  9 -> 17 [size =\"41439232\"]\n  10 [size=\"48821760\", alpha=\"0.17\", expect_size=\"19528704\"] \n  10 -> 19 [size =\"19528704\"]\n  10 -> 20 [size =\"19528704\"]\n  10 -> 23 [size =\"19528704\"]\n  11 [size=\"54576640\", alpha=\"0.04\", expect_size=\"21830656\"] \n  11 -> 18 [size =\"21830656\"]\n  12 [size=\"81361920\", alpha=\"0.16\", expect_size=\"32544768\"] \n  12 -> 20 [size =\"32544768\"]\n  12 -> 21 [size =\"32544768\"]\n  12 -> 24 [size =\"32544768\"]\n  13 [size=\"68856320\", alpha=\"0.11\", expect_size=\"27542528\"] \n  13 -> 18 [size =\"27542528\"]\n  13 -> 20 [size =\"27542528\"]\n  13 -> 23 [size =\"27542528\"]\n  13 -> 24 [size =\"27542528\"]\n  14 [size=\"126169600\", alpha=\"0.17\", expect_size=\"50467840\"] \n  14 -> 22 [size =\"50467840\"]\n  15 [size=\"71408640\", alpha=\"0.08\", expect_size=\"28563456\"] \n  15 -> 18 [size =\"28563456\"]\n  15 -> 19 [size =\"28563456\"]\n  15 -> 21 [size =\"28563456\"]\n  16 [size=\"91133440\", alpha=\"0.02\", expect_size=\"36453376\"] \n  16 -> 18 [size =\"36453376\"]\n  16 -> 20 [size =\"36453376\"]\n  16 -> 25 [size =\"36453376\"]\n  17 [size=\"92252160\", alpha=\"0.15\", expect_size=\"36900864\"] \n  17 -> 19 [size =\"36900864\"]\n  17 -> 20 [size =\"36900864\"]\n  18 [size=\"67307520\", alpha=\"0.08\", expect_size=\"26923008\"] \n  19 [size=\"45230080\", alpha=\"0.04\", expect_size=\"18092032\"] \n  20 [size=\"14051840\", alpha=\"0.17\", expect_size=\"5620736\"] \n  21 [size=\"116802560\", alpha=\"0.08\", expect_size=\"46721024\"] \n  22 [size=\"20741120\", alpha=\"0.01\", expect_size=\"8296448\"] \n  23 [size=\"116334080\", alpha=\"0.19\", expect_size=\"46533632\"] \n  24 [size=\"62860800\", alpha=\"0.19\", expect_size=\"25144320\"] \n  25 [size=\"44318720\", alpha=\"0.14\", expect_size=\"17727488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93849600\", alpha=\"0.07\", expect_size=\"37539840\"] \n  1 -> 10 [size =\"37539840\"]\n  1 -> 15 [size =\"37539840\"]\n  1 -> 17 [size =\"37539840\"]\n  2 [size=\"38650880\", alpha=\"0.17\", expect_size=\"15460352\"] \n  2 -> 15 [size =\"15460352\"]\n  2 -> 17 [size =\"15460352\"]\n  3 [size=\"43438080\", alpha=\"0.09\", expect_size=\"17375232\"] \n  3 -> 13 [size =\"17375232\"]\n  4 [size=\"60467200\", alpha=\"0.13\", expect_size=\"24186880\"] \n  4 -> 13 [size =\"24186880\"]\n  4 -> 14 [size =\"24186880\"]\n  5 [size=\"60718080\", alpha=\"0.15\", expect_size=\"24287232\"] \n  5 -> 10 [size =\"24287232\"]\n  5 -> 12 [size =\"24287232\"]\n  6 [size=\"19496960\", alpha=\"0.06\", expect_size=\"7798784\"] \n  6 -> 14 [size =\"7798784\"]\n  7 [size=\"18585600\", alpha=\"0.00\", expect_size=\"7434240\"] \n  7 -> 14 [size =\"7434240\"]\n  7 -> 15 [size =\"7434240\"]\n  8 [size=\"82846720\", alpha=\"0.03\", expect_size=\"33138688\"] \n  8 -> 10 [size =\"33138688\"]\n  8 -> 11 [size =\"33138688\"]\n  8 -> 12 [size =\"33138688\"]\n  8 -> 17 [size =\"33138688\"]\n  9 [size=\"130972160\", alpha=\"0.11\", expect_size=\"52388864\"] \n  9 -> 14 [size =\"52388864\"]\n  9 -> 15 [size =\"52388864\"]\n  9 -> 16 [size =\"52388864\"]\n  10 [size=\"76689920\", alpha=\"0.14\", expect_size=\"30675968\"] \n  10 -> 19 [size =\"30675968\"]\n  11 [size=\"85099520\", alpha=\"0.07\", expect_size=\"34039808\"] \n  11 -> 19 [size =\"34039808\"]\n  11 -> 20 [size =\"34039808\"]\n  11 -> 22 [size =\"34039808\"]\n  12 [size=\"124160000\", alpha=\"0.08\", expect_size=\"49664000\"] \n  12 -> 20 [size =\"49664000\"]\n  12 -> 22 [size =\"49664000\"]\n  13 [size=\"107632640\", alpha=\"0.04\", expect_size=\"43053056\"] \n  13 -> 18 [size =\"43053056\"]\n  13 -> 19 [size =\"43053056\"]\n  14 [size=\"41587200\", alpha=\"0.14\", expect_size=\"16634880\"] \n  14 -> 20 [size =\"16634880\"]\n  14 -> 21 [size =\"16634880\"]\n  15 [size=\"119196160\", alpha=\"0.18\", expect_size=\"47678464\"] \n  15 -> 21 [size =\"47678464\"]\n  16 [size=\"87275520\", alpha=\"0.02\", expect_size=\"34910208\"] \n  16 -> 21 [size =\"34910208\"]\n  17 [size=\"123607040\", alpha=\"0.03\", expect_size=\"49442816\"] \n  17 -> 19 [size =\"49442816\"]\n  17 -> 20 [size =\"49442816\"]\n  17 -> 21 [size =\"49442816\"]\n  18 [size=\"124843520\", alpha=\"0.17\", expect_size=\"49937408\"] \n  19 [size=\"26260480\", alpha=\"0.15\", expect_size=\"10504192\"] \n  19 -> 23 [size =\"10504192\"]\n  20 [size=\"90332160\", alpha=\"0.02\", expect_size=\"36132864\"] \n  20 -> 25 [size =\"36132864\"]\n  21 [size=\"54929920\", alpha=\"0.02\", expect_size=\"21971968\"] \n  21 -> 24 [size =\"21971968\"]\n  22 [size=\"98800640\", alpha=\"0.07\", expect_size=\"39520256\"] \n  23 [size=\"25774080\", alpha=\"0.17\", expect_size=\"10309632\"] \n  24 [size=\"48832000\", alpha=\"0.15\", expect_size=\"19532800\"] \n  25 [size=\"15848960\", alpha=\"0.01\", expect_size=\"6339584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26221227\", alpha=\"0.12\", expect_size=\"7866368\"] \n  1 -> 6 [size =\"7866368\"]\n  1 -> 8 [size =\"7866368\"]\n  1 -> 9 [size =\"7866368\"]\n  2 [size=\"101150720\", alpha=\"0.03\", expect_size=\"30345216\"] \n  2 -> 6 [size =\"30345216\"]\n  2 -> 8 [size =\"30345216\"]\n  2 -> 9 [size =\"30345216\"]\n  2 -> 10 [size =\"30345216\"]\n  3 [size=\"56149333\", alpha=\"0.10\", expect_size=\"16844800\"] \n  3 -> 6 [size =\"16844800\"]\n  3 -> 7 [size =\"16844800\"]\n  3 -> 8 [size =\"16844800\"]\n  3 -> 9 [size =\"16844800\"]\n  3 -> 10 [size =\"16844800\"]\n  4 [size=\"30173867\", alpha=\"0.05\", expect_size=\"9052160\"] \n  4 -> 6 [size =\"9052160\"]\n  4 -> 8 [size =\"9052160\"]\n  4 -> 9 [size =\"9052160\"]\n  4 -> 10 [size =\"9052160\"]\n  4 -> 10 [size =\"9052160\"]\n  5 [size=\"36341760\", alpha=\"0.06\", expect_size=\"10902528\"] \n  5 -> 6 [size =\"10902528\"]\n  5 -> 9 [size =\"10902528\"]\n  5 -> 10 [size =\"10902528\"]\n  6 [size=\"162355200\", alpha=\"0.06\", expect_size=\"48706560\"] \n  6 -> 12 [size =\"48706560\"]\n  6 -> 13 [size =\"48706560\"]\n  7 [size=\"170820267\", alpha=\"0.13\", expect_size=\"51246080\"] \n  7 -> 11 [size =\"51246080\"]\n  7 -> 12 [size =\"51246080\"]\n  8 [size=\"27101867\", alpha=\"0.10\", expect_size=\"8130560\"] \n  8 -> 11 [size =\"8130560\"]\n  9 [size=\"61798400\", alpha=\"0.06\", expect_size=\"18539520\"] \n  9 -> 13 [size =\"18539520\"]\n  10 [size=\"103123627\", alpha=\"0.17\", expect_size=\"30937088\"] \n  10 -> 11 [size =\"30937088\"]\n  10 -> 12 [size =\"30937088\"]\n  11 [size=\"42485760\", alpha=\"0.03\", expect_size=\"12745728\"] \n  11 -> 14 [size =\"12745728\"]\n  11 -> 15 [size =\"12745728\"]\n  11 -> 16 [size =\"12745728\"]\n  11 -> 17 [size =\"12745728\"]\n  12 [size=\"140154880\", alpha=\"0.09\", expect_size=\"42046464\"] \n  12 -> 14 [size =\"42046464\"]\n  12 -> 15 [size =\"42046464\"]\n  12 -> 17 [size =\"42046464\"]\n  13 [size=\"162095787\", alpha=\"0.19\", expect_size=\"48628736\"] \n  13 -> 14 [size =\"48628736\"]\n  13 -> 15 [size =\"48628736\"]\n  13 -> 16 [size =\"48628736\"]\n  13 -> 17 [size =\"48628736\"]\n  14 [size=\"84954453\", alpha=\"0.04\", expect_size=\"25486336\"] \n  14 -> 18 [size =\"25486336\"]\n  14 -> 19 [size =\"25486336\"]\n  15 [size=\"121617067\", alpha=\"0.12\", expect_size=\"36485120\"] \n  15 -> 18 [size =\"36485120\"]\n  15 -> 20 [size =\"36485120\"]\n  16 [size=\"170284373\", alpha=\"0.01\", expect_size=\"51085312\"] \n  16 -> 18 [size =\"51085312\"]\n  16 -> 21 [size =\"51085312\"]\n  17 [size=\"57910613\", alpha=\"0.02\", expect_size=\"17373184\"] \n  17 -> 18 [size =\"17373184\"]\n  17 -> 21 [size =\"17373184\"]\n  18 [size=\"162775040\", alpha=\"0.16\", expect_size=\"48832512\"] \n  18 -> 23 [size =\"48832512\"]\n  18 -> 24 [size =\"48832512\"]\n  18 -> 25 [size =\"48832512\"]\n  19 [size=\"85459627\", alpha=\"0.05\", expect_size=\"25637888\"] \n  19 -> 23 [size =\"25637888\"]\n  19 -> 24 [size =\"25637888\"]\n  19 -> 25 [size =\"25637888\"]\n  20 [size=\"132512427\", alpha=\"0.09\", expect_size=\"39753728\"] \n  20 -> 22 [size =\"39753728\"]\n  20 -> 23 [size =\"39753728\"]\n  20 -> 24 [size =\"39753728\"]\n  21 [size=\"109445120\", alpha=\"0.13\", expect_size=\"32833536\"] \n  21 -> 22 [size =\"32833536\"]\n  21 -> 23 [size =\"32833536\"]\n  21 -> 24 [size =\"32833536\"]\n  21 -> 25 [size =\"32833536\"]\n  22 [size=\"134935893\", alpha=\"0.08\", expect_size=\"40480768\"] \n  23 [size=\"46991360\", alpha=\"0.08\", expect_size=\"14097408\"] \n  24 [size=\"39014400\", alpha=\"0.10\", expect_size=\"11704320\"] \n  25 [size=\"73669973\", alpha=\"0.14\", expect_size=\"22100992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101399040\", alpha=\"0.04\", expect_size=\"40559616\"] \n  2 [size=\"123814400\", alpha=\"0.17\", expect_size=\"49525760\"] \n  2 -> 3 [size =\"49525760\"]\n  2 -> 4 [size =\"49525760\"]\n  3 [size=\"73169920\", alpha=\"0.10\", expect_size=\"29267968\"] \n  3 -> 5 [size =\"29267968\"]\n  4 [size=\"20684800\", alpha=\"0.07\", expect_size=\"8273920\"] \n  4 -> 6 [size =\"8273920\"]\n  5 [size=\"26104320\", alpha=\"0.07\", expect_size=\"10441728\"] \n  5 -> 7 [size =\"10441728\"]\n  6 [size=\"98324480\", alpha=\"0.04\", expect_size=\"39329792\"] \n  6 -> 7 [size =\"39329792\"]\n  6 -> 8 [size =\"39329792\"]\n  7 [size=\"29542400\", alpha=\"0.09\", expect_size=\"11816960\"] \n  8 [size=\"16872960\", alpha=\"0.13\", expect_size=\"6749184\"] \n  8 -> 9 [size =\"6749184\"]\n  9 [size=\"110133760\", alpha=\"0.14\", expect_size=\"44053504\"] \n  9 -> 10 [size =\"44053504\"]\n  10 [size=\"63385600\", alpha=\"0.04\", expect_size=\"25354240\"] \n  10 -> 11 [size =\"25354240\"]\n  11 [size=\"78097920\", alpha=\"0.14\", expect_size=\"31239168\"] \n  11 -> 12 [size =\"31239168\"]\n  11 -> 13 [size =\"31239168\"]\n  12 [size=\"101184000\", alpha=\"0.14\", expect_size=\"40473600\"] \n  12 -> 15 [size =\"40473600\"]\n  13 [size=\"83645440\", alpha=\"0.12\", expect_size=\"33458176\"] \n  13 -> 14 [size =\"33458176\"]\n  13 -> 15 [size =\"33458176\"]\n  14 [size=\"24816640\", alpha=\"0.01\", expect_size=\"9926656\"] \n  14 -> 16 [size =\"9926656\"]\n  15 [size=\"67430400\", alpha=\"0.01\", expect_size=\"26972160\"] \n  15 -> 16 [size =\"26972160\"]\n  16 [size=\"106752000\", alpha=\"0.18\", expect_size=\"42700800\"] \n  16 -> 17 [size =\"42700800\"]\n  16 -> 18 [size =\"42700800\"]\n  17 [size=\"128381440\", alpha=\"0.16\", expect_size=\"51352576\"] \n  17 -> 19 [size =\"51352576\"]\n  18 [size=\"64258560\", alpha=\"0.09\", expect_size=\"25703424\"] \n  19 [size=\"23226880\", alpha=\"0.10\", expect_size=\"9290752\"] \n  19 -> 20 [size =\"9290752\"]\n  20 [size=\"105072640\", alpha=\"0.01\", expect_size=\"42029056\"] \n  20 -> 21 [size =\"42029056\"]\n  20 -> 22 [size =\"42029056\"]\n  21 [size=\"126950400\", alpha=\"0.08\", expect_size=\"50780160\"] \n  21 -> 23 [size =\"50780160\"]\n  22 [size=\"89395200\", alpha=\"0.13\", expect_size=\"35758080\"] \n  22 -> 23 [size =\"35758080\"]\n  23 [size=\"53862400\", alpha=\"0.08\", expect_size=\"21544960\"] \n  23 -> 24 [size =\"21544960\"]\n  24 [size=\"126720000\", alpha=\"0.04\", expect_size=\"50688000\"] \n  24 -> 25 [size =\"50688000\"]\n  25 [size=\"14781440\", alpha=\"0.03\", expect_size=\"5912576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129827840\", alpha=\"0.20\", expect_size=\"51931136\"] \n  1 -> 11 [size =\"51931136\"]\n  1 -> 15 [size =\"51931136\"]\n  1 -> 16 [size =\"51931136\"]\n  1 -> 17 [size =\"51931136\"]\n  2 [size=\"71406080\", alpha=\"0.07\", expect_size=\"28562432\"] \n  2 -> 11 [size =\"28562432\"]\n  2 -> 16 [size =\"28562432\"]\n  3 [size=\"56058880\", alpha=\"0.16\", expect_size=\"22423552\"] \n  3 -> 12 [size =\"22423552\"]\n  3 -> 16 [size =\"22423552\"]\n  4 [size=\"112581120\", alpha=\"0.09\", expect_size=\"45032448\"] \n  4 -> 14 [size =\"45032448\"]\n  4 -> 16 [size =\"45032448\"]\n  4 -> 20 [size =\"45032448\"]\n  5 [size=\"120432640\", alpha=\"0.16\", expect_size=\"48173056\"] \n  5 -> 15 [size =\"48173056\"]\n  5 -> 16 [size =\"48173056\"]\n  5 -> 21 [size =\"48173056\"]\n  6 [size=\"117107200\", alpha=\"0.12\", expect_size=\"46842880\"] \n  6 -> 13 [size =\"46842880\"]\n  6 -> 21 [size =\"46842880\"]\n  7 [size=\"86794240\", alpha=\"0.15\", expect_size=\"34717696\"] \n  7 -> 13 [size =\"34717696\"]\n  7 -> 14 [size =\"34717696\"]\n  7 -> 16 [size =\"34717696\"]\n  7 -> 21 [size =\"34717696\"]\n  8 [size=\"116590080\", alpha=\"0.10\", expect_size=\"46636032\"] \n  8 -> 11 [size =\"46636032\"]\n  8 -> 13 [size =\"46636032\"]\n  8 -> 17 [size =\"46636032\"]\n  8 -> 19 [size =\"46636032\"]\n  9 [size=\"110287360\", alpha=\"0.15\", expect_size=\"44114944\"] \n  9 -> 11 [size =\"44114944\"]\n  9 -> 12 [size =\"44114944\"]\n  9 -> 13 [size =\"44114944\"]\n  9 -> 14 [size =\"44114944\"]\n  9 -> 19 [size =\"44114944\"]\n  10 [size=\"39344640\", alpha=\"0.14\", expect_size=\"15737856\"] \n  10 -> 11 [size =\"15737856\"]\n  10 -> 13 [size =\"15737856\"]\n  10 -> 14 [size =\"15737856\"]\n  10 -> 17 [size =\"15737856\"]\n  10 -> 18 [size =\"15737856\"]\n  10 -> 19 [size =\"15737856\"]\n  10 -> 21 [size =\"15737856\"]\n  11 [size=\"94581760\", alpha=\"0.19\", expect_size=\"37832704\"] \n  11 -> 24 [size =\"37832704\"]\n  11 -> 25 [size =\"37832704\"]\n  12 [size=\"93601280\", alpha=\"0.19\", expect_size=\"37440512\"] \n  12 -> 22 [size =\"37440512\"]\n  12 -> 23 [size =\"37440512\"]\n  13 [size=\"15229440\", alpha=\"0.15\", expect_size=\"6091776\"] \n  13 -> 23 [size =\"6091776\"]\n  14 [size=\"107043840\", alpha=\"0.19\", expect_size=\"42817536\"] \n  15 [size=\"43988480\", alpha=\"0.19\", expect_size=\"17595392\"] \n  15 -> 24 [size =\"17595392\"]\n  15 -> 25 [size =\"17595392\"]\n  16 [size=\"17758720\", alpha=\"0.19\", expect_size=\"7103488\"] \n  16 -> 25 [size =\"7103488\"]\n  17 [size=\"86638080\", alpha=\"0.04\", expect_size=\"34655232\"] \n  18 [size=\"57402880\", alpha=\"0.04\", expect_size=\"22961152\"] \n  18 -> 24 [size =\"22961152\"]\n  19 [size=\"114557440\", alpha=\"0.14\", expect_size=\"45822976\"] \n  20 [size=\"83706880\", alpha=\"0.19\", expect_size=\"33482752\"] \n  20 -> 22 [size =\"33482752\"]\n  21 [size=\"45565440\", alpha=\"0.03\", expect_size=\"18226176\"] \n  21 -> 22 [size =\"18226176\"]\n  21 -> 24 [size =\"18226176\"]\n  22 [size=\"41003520\", alpha=\"0.18\", expect_size=\"16401408\"] \n  23 [size=\"34339840\", alpha=\"0.19\", expect_size=\"13735936\"] \n  24 [size=\"123087360\", alpha=\"0.18\", expect_size=\"49234944\"] \n  25 [size=\"118205440\", alpha=\"0.14\", expect_size=\"47282176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123079680\", alpha=\"0.15\", expect_size=\"49231872\"] \n  1 -> 2 [size =\"49231872\"]\n  2 [size=\"101301760\", alpha=\"0.10\", expect_size=\"40520704\"] \n  2 -> 3 [size =\"40520704\"]\n  3 [size=\"31539200\", alpha=\"0.01\", expect_size=\"12615680\"] \n  3 -> 4 [size =\"12615680\"]\n  4 [size=\"47362560\", alpha=\"0.20\", expect_size=\"18945024\"] \n  4 -> 5 [size =\"18945024\"]\n  5 [size=\"14522880\", alpha=\"0.19\", expect_size=\"5809152\"] \n  5 -> 6 [size =\"5809152\"]\n  6 [size=\"19233280\", alpha=\"0.11\", expect_size=\"7693312\"] \n  6 -> 7 [size =\"7693312\"]\n  7 [size=\"96337920\", alpha=\"0.00\", expect_size=\"38535168\"] \n  7 -> 8 [size =\"38535168\"]\n  8 [size=\"18296320\", alpha=\"0.07\", expect_size=\"7318528\"] \n  8 -> 9 [size =\"7318528\"]\n  9 [size=\"51253760\", alpha=\"0.01\", expect_size=\"20501504\"] \n  9 -> 10 [size =\"20501504\"]\n  10 [size=\"21378560\", alpha=\"0.02\", expect_size=\"8551424\"] \n  10 -> 11 [size =\"8551424\"]\n  11 [size=\"121984000\", alpha=\"0.00\", expect_size=\"48793600\"] \n  11 -> 12 [size =\"48793600\"]\n  12 [size=\"90662400\", alpha=\"0.08\", expect_size=\"36264960\"] \n  12 -> 13 [size =\"36264960\"]\n  13 [size=\"29089280\", alpha=\"0.01\", expect_size=\"11635712\"] \n  13 -> 14 [size =\"11635712\"]\n  14 [size=\"35712000\", alpha=\"0.17\", expect_size=\"14284800\"] \n  14 -> 15 [size =\"14284800\"]\n  15 [size=\"35112960\", alpha=\"0.05\", expect_size=\"14045184\"] \n  15 -> 16 [size =\"14045184\"]\n  16 [size=\"28979200\", alpha=\"0.10\", expect_size=\"11591680\"] \n  16 -> 17 [size =\"11591680\"]\n  17 [size=\"94786560\", alpha=\"0.11\", expect_size=\"37914624\"] \n  17 -> 18 [size =\"37914624\"]\n  18 [size=\"96642560\", alpha=\"0.19\", expect_size=\"38657024\"] \n  18 -> 19 [size =\"38657024\"]\n  19 [size=\"17940480\", alpha=\"0.04\", expect_size=\"7176192\"] \n  19 -> 20 [size =\"7176192\"]\n  20 [size=\"26723840\", alpha=\"0.12\", expect_size=\"10689536\"] \n  20 -> 21 [size =\"10689536\"]\n  21 [size=\"36661760\", alpha=\"0.20\", expect_size=\"14664704\"] \n  21 -> 22 [size =\"14664704\"]\n  22 [size=\"37437440\", alpha=\"0.02\", expect_size=\"14974976\"] \n  22 -> 23 [size =\"14974976\"]\n  23 [size=\"83962880\", alpha=\"0.07\", expect_size=\"33585152\"] \n  23 -> 24 [size =\"33585152\"]\n  24 [size=\"89930240\", alpha=\"0.18\", expect_size=\"35972096\"] \n  24 -> 25 [size =\"35972096\"]\n  25 [size=\"73914880\", alpha=\"0.10\", expect_size=\"29565952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83202048\", alpha=\"0.18\", expect_size=\"41601024\"] \n  1 -> 13 [size =\"41601024\"]\n  1 -> 15 [size =\"41601024\"]\n  1 -> 16 [size =\"41601024\"]\n  1 -> 19 [size =\"41601024\"]\n  2 [size=\"51910656\", alpha=\"0.01\", expect_size=\"25955328\"] \n  2 -> 12 [size =\"25955328\"]\n  2 -> 15 [size =\"25955328\"]\n  2 -> 17 [size =\"25955328\"]\n  3 [size=\"76879872\", alpha=\"0.19\", expect_size=\"38439936\"] \n  3 -> 11 [size =\"38439936\"]\n  3 -> 13 [size =\"38439936\"]\n  3 -> 15 [size =\"38439936\"]\n  3 -> 19 [size =\"38439936\"]\n  4 [size=\"100071424\", alpha=\"0.19\", expect_size=\"50035712\"] \n  4 -> 15 [size =\"50035712\"]\n  4 -> 16 [size =\"50035712\"]\n  4 -> 17 [size =\"50035712\"]\n  4 -> 18 [size =\"50035712\"]\n  5 [size=\"34004992\", alpha=\"0.07\", expect_size=\"17002496\"] \n  5 -> 14 [size =\"17002496\"]\n  5 -> 15 [size =\"17002496\"]\n  5 -> 16 [size =\"17002496\"]\n  5 -> 18 [size =\"17002496\"]\n  6 [size=\"72355840\", alpha=\"0.17\", expect_size=\"36177920\"] \n  6 -> 12 [size =\"36177920\"]\n  6 -> 15 [size =\"36177920\"]\n  6 -> 16 [size =\"36177920\"]\n  6 -> 18 [size =\"36177920\"]\n  6 -> 19 [size =\"36177920\"]\n  7 [size=\"90032128\", alpha=\"0.15\", expect_size=\"45016064\"] \n  8 [size=\"38533120\", alpha=\"0.17\", expect_size=\"19266560\"] \n  8 -> 13 [size =\"19266560\"]\n  8 -> 14 [size =\"19266560\"]\n  8 -> 17 [size =\"19266560\"]\n  8 -> 19 [size =\"19266560\"]\n  9 [size=\"67825664\", alpha=\"0.20\", expect_size=\"33912832\"] \n  9 -> 12 [size =\"33912832\"]\n  10 [size=\"75466752\", alpha=\"0.12\", expect_size=\"37733376\"] \n  11 [size=\"92360704\", alpha=\"0.12\", expect_size=\"46180352\"] \n  11 -> 22 [size =\"46180352\"]\n  12 [size=\"80588800\", alpha=\"0.05\", expect_size=\"40294400\"] \n  12 -> 22 [size =\"40294400\"]\n  13 [size=\"86061056\", alpha=\"0.12\", expect_size=\"43030528\"] \n  13 -> 23 [size =\"43030528\"]\n  13 -> 24 [size =\"43030528\"]\n  14 [size=\"79122432\", alpha=\"0.11\", expect_size=\"39561216\"] \n  14 -> 23 [size =\"39561216\"]\n  14 -> 24 [size =\"39561216\"]\n  15 [size=\"72773632\", alpha=\"0.15\", expect_size=\"36386816\"] \n  15 -> 20 [size =\"36386816\"]\n  15 -> 23 [size =\"36386816\"]\n  15 -> 25 [size =\"36386816\"]\n  16 [size=\"104466432\", alpha=\"0.08\", expect_size=\"52233216\"] \n  16 -> 20 [size =\"52233216\"]\n  16 -> 21 [size =\"52233216\"]\n  16 -> 23 [size =\"52233216\"]\n  17 [size=\"92657664\", alpha=\"0.10\", expect_size=\"46328832\"] \n  17 -> 22 [size =\"46328832\"]\n  17 -> 23 [size =\"46328832\"]\n  17 -> 24 [size =\"46328832\"]\n  18 [size=\"67993600\", alpha=\"0.07\", expect_size=\"33996800\"] \n  18 -> 21 [size =\"33996800\"]\n  18 -> 22 [size =\"33996800\"]\n  18 -> 25 [size =\"33996800\"]\n  19 [size=\"51589120\", alpha=\"0.16\", expect_size=\"25794560\"] \n  19 -> 20 [size =\"25794560\"]\n  19 -> 22 [size =\"25794560\"]\n  19 -> 23 [size =\"25794560\"]\n  20 [size=\"51326976\", alpha=\"0.17\", expect_size=\"25663488\"] \n  21 [size=\"12503040\", alpha=\"0.13\", expect_size=\"6251520\"] \n  22 [size=\"70119424\", alpha=\"0.18\", expect_size=\"35059712\"] \n  23 [size=\"95989760\", alpha=\"0.17\", expect_size=\"47994880\"] \n  24 [size=\"60362752\", alpha=\"0.15\", expect_size=\"30181376\"] \n  25 [size=\"16752640\", alpha=\"0.18\", expect_size=\"8376320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25019733\", alpha=\"0.00\", expect_size=\"7505920\"] \n  1 -> 2 [size =\"7505920\"]\n  2 [size=\"168147627\", alpha=\"0.20\", expect_size=\"50444288\"] \n  2 -> 3 [size =\"50444288\"]\n  3 [size=\"58944853\", alpha=\"0.15\", expect_size=\"17683456\"] \n  3 -> 4 [size =\"17683456\"]\n  3 -> 5 [size =\"17683456\"]\n  4 [size=\"18517333\", alpha=\"0.03\", expect_size=\"5555200\"] \n  4 -> 7 [size =\"5555200\"]\n  5 [size=\"163662507\", alpha=\"0.11\", expect_size=\"49098752\"] \n  5 -> 6 [size =\"49098752\"]\n  5 -> 7 [size =\"49098752\"]\n  6 [size=\"51237547\", alpha=\"0.09\", expect_size=\"15371264\"] \n  6 -> 9 [size =\"15371264\"]\n  7 [size=\"22606507\", alpha=\"0.14\", expect_size=\"6781952\"] \n  7 -> 8 [size =\"6781952\"]\n  8 [size=\"49397760\", alpha=\"0.02\", expect_size=\"14819328\"] \n  8 -> 10 [size =\"14819328\"]\n  9 [size=\"167686827\", alpha=\"0.12\", expect_size=\"50306048\"] \n  10 [size=\"76185600\", alpha=\"0.04\", expect_size=\"22855680\"] \n  10 -> 11 [size =\"22855680\"]\n  11 [size=\"133980160\", alpha=\"0.04\", expect_size=\"40194048\"] \n  11 -> 12 [size =\"40194048\"]\n  12 [size=\"137707520\", alpha=\"0.04\", expect_size=\"41312256\"] \n  12 -> 13 [size =\"41312256\"]\n  12 -> 14 [size =\"41312256\"]\n  13 [size=\"135553707\", alpha=\"0.11\", expect_size=\"40666112\"] \n  13 -> 15 [size =\"40666112\"]\n  14 [size=\"96679253\", alpha=\"0.03\", expect_size=\"29003776\"] \n  14 -> 15 [size =\"29003776\"]\n  15 [size=\"117794133\", alpha=\"0.02\", expect_size=\"35338240\"] \n  15 -> 16 [size =\"35338240\"]\n  15 -> 17 [size =\"35338240\"]\n  16 [size=\"47742293\", alpha=\"0.20\", expect_size=\"14322688\"] \n  17 [size=\"118224213\", alpha=\"0.01\", expect_size=\"35467264\"] \n  17 -> 18 [size =\"35467264\"]\n  18 [size=\"72017920\", alpha=\"0.19\", expect_size=\"21605376\"] \n  18 -> 19 [size =\"21605376\"]\n  18 -> 20 [size =\"21605376\"]\n  19 [size=\"84442453\", alpha=\"0.03\", expect_size=\"25332736\"] \n  19 -> 21 [size =\"25332736\"]\n  20 [size=\"22278827\", alpha=\"0.10\", expect_size=\"6683648\"] \n  20 -> 21 [size =\"6683648\"]\n  21 [size=\"52445867\", alpha=\"0.18\", expect_size=\"15733760\"] \n  21 -> 22 [size =\"15733760\"]\n  22 [size=\"82906453\", alpha=\"0.05\", expect_size=\"24871936\"] \n  22 -> 23 [size =\"24871936\"]\n  22 -> 24 [size =\"24871936\"]\n  23 [size=\"111397547\", alpha=\"0.17\", expect_size=\"33419264\"] \n  23 -> 25 [size =\"33419264\"]\n  24 [size=\"37956267\", alpha=\"0.09\", expect_size=\"11386880\"] \n  24 -> 25 [size =\"11386880\"]\n  25 [size=\"62102187\", alpha=\"0.01\", expect_size=\"18630656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59056640\", alpha=\"0.15\", expect_size=\"23622656\"] \n  1 -> 23 [size =\"23622656\"]\n  2 [size=\"43607040\", alpha=\"0.17\", expect_size=\"17442816\"] \n  2 -> 21 [size =\"17442816\"]\n  2 -> 24 [size =\"17442816\"]\n  3 [size=\"46164480\", alpha=\"0.18\", expect_size=\"18465792\"] \n  3 -> 19 [size =\"18465792\"]\n  3 -> 21 [size =\"18465792\"]\n  3 -> 23 [size =\"18465792\"]\n  3 -> 24 [size =\"18465792\"]\n  4 [size=\"80908800\", alpha=\"0.03\", expect_size=\"32363520\"] \n  4 -> 19 [size =\"32363520\"]\n  4 -> 21 [size =\"32363520\"]\n  4 -> 22 [size =\"32363520\"]\n  4 -> 24 [size =\"32363520\"]\n  5 [size=\"119324160\", alpha=\"0.19\", expect_size=\"47729664\"] \n  5 -> 19 [size =\"47729664\"]\n  5 -> 20 [size =\"47729664\"]\n  5 -> 22 [size =\"47729664\"]\n  5 -> 24 [size =\"47729664\"]\n  6 [size=\"59704320\", alpha=\"0.07\", expect_size=\"23881728\"] \n  6 -> 19 [size =\"23881728\"]\n  6 -> 21 [size =\"23881728\"]\n  6 -> 22 [size =\"23881728\"]\n  6 -> 24 [size =\"23881728\"]\n  7 [size=\"32872960\", alpha=\"0.08\", expect_size=\"13149184\"] \n  7 -> 24 [size =\"13149184\"]\n  8 [size=\"98969600\", alpha=\"0.06\", expect_size=\"39587840\"] \n  8 -> 22 [size =\"39587840\"]\n  9 [size=\"92372480\", alpha=\"0.06\", expect_size=\"36948992\"] \n  9 -> 19 [size =\"36948992\"]\n  9 -> 20 [size =\"36948992\"]\n  9 -> 23 [size =\"36948992\"]\n  10 [size=\"43988480\", alpha=\"0.17\", expect_size=\"17595392\"] \n  10 -> 22 [size =\"17595392\"]\n  10 -> 24 [size =\"17595392\"]\n  11 [size=\"73111040\", alpha=\"0.18\", expect_size=\"29244416\"] \n  11 -> 20 [size =\"29244416\"]\n  11 -> 22 [size =\"29244416\"]\n  11 -> 23 [size =\"29244416\"]\n  12 [size=\"45032960\", alpha=\"0.16\", expect_size=\"18013184\"] \n  12 -> 19 [size =\"18013184\"]\n  12 -> 23 [size =\"18013184\"]\n  12 -> 23 [size =\"18013184\"]\n  13 [size=\"27176960\", alpha=\"0.07\", expect_size=\"10870784\"] \n  13 -> 19 [size =\"10870784\"]\n  13 -> 20 [size =\"10870784\"]\n  14 [size=\"14458880\", alpha=\"0.08\", expect_size=\"5783552\"] \n  14 -> 19 [size =\"5783552\"]\n  14 -> 20 [size =\"5783552\"]\n  14 -> 21 [size =\"5783552\"]\n  14 -> 24 [size =\"5783552\"]\n  15 [size=\"29770240\", alpha=\"0.10\", expect_size=\"11908096\"] \n  15 -> 23 [size =\"11908096\"]\n  16 [size=\"23956480\", alpha=\"0.09\", expect_size=\"9582592\"] \n  16 -> 19 [size =\"9582592\"]\n  16 -> 24 [size =\"9582592\"]\n  16 -> 25 [size =\"9582592\"]\n  17 [size=\"62402560\", alpha=\"0.20\", expect_size=\"24961024\"] \n  17 -> 19 [size =\"24961024\"]\n  17 -> 20 [size =\"24961024\"]\n  17 -> 24 [size =\"24961024\"]\n  17 -> 25 [size =\"24961024\"]\n  18 [size=\"108800000\", alpha=\"0.04\", expect_size=\"43520000\"] \n  18 -> 19 [size =\"43520000\"]\n  18 -> 20 [size =\"43520000\"]\n  18 -> 23 [size =\"43520000\"]\n  18 -> 24 [size =\"43520000\"]\n  18 -> 25 [size =\"43520000\"]\n  19 [size=\"27458560\", alpha=\"0.12\", expect_size=\"10983424\"] \n  20 [size=\"63434240\", alpha=\"0.15\", expect_size=\"25373696\"] \n  21 [size=\"47280640\", alpha=\"0.06\", expect_size=\"18912256\"] \n  22 [size=\"37434880\", alpha=\"0.02\", expect_size=\"14973952\"] \n  23 [size=\"14103040\", alpha=\"0.04\", expect_size=\"5641216\"] \n  24 [size=\"55055360\", alpha=\"0.17\", expect_size=\"22022144\"] \n  25 [size=\"102766080\", alpha=\"0.08\", expect_size=\"41106432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14420480\", alpha=\"0.11\", expect_size=\"5768192\"] \n  1 -> 2 [size =\"5768192\"]\n  2 [size=\"64650240\", alpha=\"0.17\", expect_size=\"25860096\"] \n  2 -> 3 [size =\"25860096\"]\n  2 -> 4 [size =\"25860096\"]\n  3 [size=\"94492160\", alpha=\"0.01\", expect_size=\"37796864\"] \n  3 -> 5 [size =\"37796864\"]\n  4 [size=\"48017920\", alpha=\"0.14\", expect_size=\"19207168\"] \n  5 [size=\"117112320\", alpha=\"0.03\", expect_size=\"46844928\"] \n  5 -> 6 [size =\"46844928\"]\n  6 [size=\"44416000\", alpha=\"0.06\", expect_size=\"17766400\"] \n  6 -> 7 [size =\"17766400\"]\n  6 -> 8 [size =\"17766400\"]\n  7 [size=\"73024000\", alpha=\"0.02\", expect_size=\"29209600\"] \n  7 -> 9 [size =\"29209600\"]\n  7 -> 10 [size =\"29209600\"]\n  8 [size=\"104258560\", alpha=\"0.11\", expect_size=\"41703424\"] \n  8 -> 9 [size =\"41703424\"]\n  9 [size=\"127774720\", alpha=\"0.10\", expect_size=\"51109888\"] \n  9 -> 11 [size =\"51109888\"]\n  10 [size=\"88407040\", alpha=\"0.03\", expect_size=\"35362816\"] \n  11 [size=\"75443200\", alpha=\"0.17\", expect_size=\"30177280\"] \n  11 -> 12 [size =\"30177280\"]\n  12 [size=\"23242240\", alpha=\"0.17\", expect_size=\"9296896\"] \n  12 -> 13 [size =\"9296896\"]\n  13 [size=\"121845760\", alpha=\"0.03\", expect_size=\"48738304\"] \n  13 -> 14 [size =\"48738304\"]\n  14 [size=\"129213440\", alpha=\"0.13\", expect_size=\"51685376\"] \n  14 -> 15 [size =\"51685376\"]\n  14 -> 16 [size =\"51685376\"]\n  15 [size=\"93880320\", alpha=\"0.01\", expect_size=\"37552128\"] \n  15 -> 17 [size =\"37552128\"]\n  16 [size=\"111262720\", alpha=\"0.04\", expect_size=\"44505088\"] \n  16 -> 17 [size =\"44505088\"]\n  16 -> 18 [size =\"44505088\"]\n  17 [size=\"28492800\", alpha=\"0.05\", expect_size=\"11397120\"] \n  17 -> 20 [size =\"11397120\"]\n  18 [size=\"39257600\", alpha=\"0.14\", expect_size=\"15703040\"] \n  18 -> 19 [size =\"15703040\"]\n  18 -> 20 [size =\"15703040\"]\n  19 [size=\"102837760\", alpha=\"0.19\", expect_size=\"41135104\"] \n  20 [size=\"45025280\", alpha=\"0.01\", expect_size=\"18010112\"] \n  20 -> 21 [size =\"18010112\"]\n  20 -> 22 [size =\"18010112\"]\n  21 [size=\"63400960\", alpha=\"0.03\", expect_size=\"25360384\"] \n  21 -> 23 [size =\"25360384\"]\n  21 -> 24 [size =\"25360384\"]\n  22 [size=\"48299520\", alpha=\"0.14\", expect_size=\"19319808\"] \n  23 [size=\"28986880\", alpha=\"0.19\", expect_size=\"11594752\"] \n  24 [size=\"49144320\", alpha=\"0.09\", expect_size=\"19657728\"] \n  24 -> 25 [size =\"19657728\"]\n  25 [size=\"123816960\", alpha=\"0.18\", expect_size=\"49526784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58555733\", alpha=\"0.06\", expect_size=\"17566720\"] \n  1 -> 2 [size =\"17566720\"]\n  2 [size=\"93177173\", alpha=\"0.18\", expect_size=\"27953152\"] \n  2 -> 3 [size =\"27953152\"]\n  3 [size=\"57647787\", alpha=\"0.08\", expect_size=\"17294336\"] \n  3 -> 4 [size =\"17294336\"]\n  4 [size=\"88036693\", alpha=\"0.02\", expect_size=\"26411008\"] \n  4 -> 5 [size =\"26411008\"]\n  5 [size=\"104966827\", alpha=\"0.20\", expect_size=\"31490048\"] \n  5 -> 6 [size =\"31490048\"]\n  6 [size=\"138741760\", alpha=\"0.08\", expect_size=\"41622528\"] \n  6 -> 7 [size =\"41622528\"]\n  7 [size=\"38256640\", alpha=\"0.16\", expect_size=\"11476992\"] \n  7 -> 8 [size =\"11476992\"]\n  8 [size=\"118790827\", alpha=\"0.04\", expect_size=\"35637248\"] \n  8 -> 9 [size =\"35637248\"]\n  9 [size=\"90692267\", alpha=\"0.01\", expect_size=\"27207680\"] \n  9 -> 10 [size =\"27207680\"]\n  10 [size=\"118442667\", alpha=\"0.10\", expect_size=\"35532800\"] \n  10 -> 11 [size =\"35532800\"]\n  11 [size=\"68877653\", alpha=\"0.12\", expect_size=\"20663296\"] \n  11 -> 12 [size =\"20663296\"]\n  12 [size=\"114954240\", alpha=\"0.20\", expect_size=\"34486272\"] \n  12 -> 13 [size =\"34486272\"]\n  13 [size=\"99167573\", alpha=\"0.19\", expect_size=\"29750272\"] \n  13 -> 14 [size =\"29750272\"]\n  14 [size=\"161679360\", alpha=\"0.01\", expect_size=\"48503808\"] \n  14 -> 15 [size =\"48503808\"]\n  15 [size=\"20282027\", alpha=\"0.11\", expect_size=\"6084608\"] \n  15 -> 16 [size =\"6084608\"]\n  16 [size=\"19647147\", alpha=\"0.00\", expect_size=\"5894144\"] \n  16 -> 17 [size =\"5894144\"]\n  17 [size=\"82336427\", alpha=\"0.03\", expect_size=\"24700928\"] \n  17 -> 18 [size =\"24700928\"]\n  18 [size=\"48749227\", alpha=\"0.13\", expect_size=\"14624768\"] \n  18 -> 19 [size =\"14624768\"]\n  19 [size=\"82466133\", alpha=\"0.05\", expect_size=\"24739840\"] \n  19 -> 20 [size =\"24739840\"]\n  20 [size=\"87330133\", alpha=\"0.13\", expect_size=\"26199040\"] \n  20 -> 21 [size =\"26199040\"]\n  21 [size=\"166754987\", alpha=\"0.07\", expect_size=\"50026496\"] \n  21 -> 22 [size =\"50026496\"]\n  22 [size=\"103806293\", alpha=\"0.10\", expect_size=\"31141888\"] \n  22 -> 23 [size =\"31141888\"]\n  23 [size=\"102475093\", alpha=\"0.18\", expect_size=\"30742528\"] \n  23 -> 24 [size =\"30742528\"]\n  24 [size=\"95371947\", alpha=\"0.15\", expect_size=\"28611584\"] \n  24 -> 25 [size =\"28611584\"]\n  25 [size=\"102628693\", alpha=\"0.03\", expect_size=\"30788608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60131328\", alpha=\"0.08\", expect_size=\"30065664\"] \n  1 -> 5 [size =\"30065664\"]\n  2 [size=\"50741248\", alpha=\"0.13\", expect_size=\"25370624\"] \n  3 [size=\"89042944\", alpha=\"0.09\", expect_size=\"44521472\"] \n  3 -> 7 [size =\"44521472\"]\n  4 [size=\"26677248\", alpha=\"0.14\", expect_size=\"13338624\"] \n  4 -> 6 [size =\"13338624\"]\n  4 -> 7 [size =\"13338624\"]\n  5 [size=\"101691392\", alpha=\"0.06\", expect_size=\"50845696\"] \n  6 [size=\"76204032\", alpha=\"0.13\", expect_size=\"38102016\"] \n  6 -> 8 [size =\"38102016\"]\n  6 -> 10 [size =\"38102016\"]\n  6 -> 11 [size =\"38102016\"]\n  7 [size=\"78239744\", alpha=\"0.14\", expect_size=\"39119872\"] \n  7 -> 8 [size =\"39119872\"]\n  7 -> 9 [size =\"39119872\"]\n  8 [size=\"73117696\", alpha=\"0.12\", expect_size=\"36558848\"] \n  8 -> 12 [size =\"36558848\"]\n  8 -> 13 [size =\"36558848\"]\n  8 -> 14 [size =\"36558848\"]\n  8 -> 15 [size =\"36558848\"]\n  9 [size=\"72151040\", alpha=\"0.05\", expect_size=\"36075520\"] \n  9 -> 15 [size =\"36075520\"]\n  10 [size=\"56293376\", alpha=\"0.07\", expect_size=\"28146688\"] \n  11 [size=\"87232512\", alpha=\"0.08\", expect_size=\"43616256\"] \n  12 [size=\"28897280\", alpha=\"0.02\", expect_size=\"14448640\"] \n  12 -> 17 [size =\"14448640\"]\n  13 [size=\"91277312\", alpha=\"0.19\", expect_size=\"45638656\"] \n  13 -> 19 [size =\"45638656\"]\n  14 [size=\"37296128\", alpha=\"0.19\", expect_size=\"18648064\"] \n  14 -> 16 [size =\"18648064\"]\n  14 -> 19 [size =\"18648064\"]\n  15 [size=\"103727104\", alpha=\"0.18\", expect_size=\"51863552\"] \n  15 -> 16 [size =\"51863552\"]\n  15 -> 17 [size =\"51863552\"]\n  15 -> 18 [size =\"51863552\"]\n  16 [size=\"35811328\", alpha=\"0.02\", expect_size=\"17905664\"] \n  16 -> 21 [size =\"17905664\"]\n  17 [size=\"96092160\", alpha=\"0.12\", expect_size=\"48046080\"] \n  17 -> 20 [size =\"48046080\"]\n  17 -> 21 [size =\"48046080\"]\n  17 -> 22 [size =\"48046080\"]\n  18 [size=\"65685504\", alpha=\"0.03\", expect_size=\"32842752\"] \n  18 -> 20 [size =\"32842752\"]\n  18 -> 22 [size =\"32842752\"]\n  19 [size=\"30253056\", alpha=\"0.01\", expect_size=\"15126528\"] \n  20 [size=\"51628032\", alpha=\"0.19\", expect_size=\"25814016\"] \n  20 -> 24 [size =\"25814016\"]\n  21 [size=\"86597632\", alpha=\"0.08\", expect_size=\"43298816\"] \n  21 -> 25 [size =\"43298816\"]\n  22 [size=\"27635712\", alpha=\"0.05\", expect_size=\"13817856\"] \n  22 -> 23 [size =\"13817856\"]\n  22 -> 25 [size =\"13817856\"]\n  23 [size=\"37107712\", alpha=\"0.19\", expect_size=\"18553856\"] \n  24 [size=\"34291712\", alpha=\"0.17\", expect_size=\"17145856\"] \n  25 [size=\"27246592\", alpha=\"0.13\", expect_size=\"13623296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56625152\", alpha=\"0.16\", expect_size=\"28312576\"] \n  2 [size=\"20942848\", alpha=\"0.02\", expect_size=\"10471424\"] \n  2 -> 3 [size =\"10471424\"]\n  3 [size=\"54312960\", alpha=\"0.14\", expect_size=\"27156480\"] \n  3 -> 4 [size =\"27156480\"]\n  4 [size=\"99291136\", alpha=\"0.17\", expect_size=\"49645568\"] \n  4 -> 5 [size =\"49645568\"]\n  4 -> 6 [size =\"49645568\"]\n  5 [size=\"25192448\", alpha=\"0.11\", expect_size=\"12596224\"] \n  5 -> 7 [size =\"12596224\"]\n  6 [size=\"46497792\", alpha=\"0.11\", expect_size=\"23248896\"] \n  6 -> 7 [size =\"23248896\"]\n  6 -> 8 [size =\"23248896\"]\n  7 [size=\"33894400\", alpha=\"0.02\", expect_size=\"16947200\"] \n  8 [size=\"45123584\", alpha=\"0.03\", expect_size=\"22561792\"] \n  8 -> 9 [size =\"22561792\"]\n  8 -> 10 [size =\"22561792\"]\n  9 [size=\"87506944\", alpha=\"0.13\", expect_size=\"43753472\"] \n  9 -> 11 [size =\"43753472\"]\n  10 [size=\"81891328\", alpha=\"0.20\", expect_size=\"40945664\"] \n  10 -> 11 [size =\"40945664\"]\n  10 -> 12 [size =\"40945664\"]\n  11 [size=\"38529024\", alpha=\"0.02\", expect_size=\"19264512\"] \n  11 -> 13 [size =\"19264512\"]\n  12 [size=\"19406848\", alpha=\"0.20\", expect_size=\"9703424\"] \n  13 [size=\"29886464\", alpha=\"0.12\", expect_size=\"14943232\"] \n  13 -> 14 [size =\"14943232\"]\n  14 [size=\"94801920\", alpha=\"0.04\", expect_size=\"47400960\"] \n  14 -> 15 [size =\"47400960\"]\n  15 [size=\"81848320\", alpha=\"0.01\", expect_size=\"40924160\"] \n  15 -> 16 [size =\"40924160\"]\n  16 [size=\"41504768\", alpha=\"0.03\", expect_size=\"20752384\"] \n  16 -> 17 [size =\"20752384\"]\n  17 [size=\"93276160\", alpha=\"0.16\", expect_size=\"46638080\"] \n  17 -> 18 [size =\"46638080\"]\n  18 [size=\"103012352\", alpha=\"0.12\", expect_size=\"51506176\"] \n  18 -> 19 [size =\"51506176\"]\n  18 -> 20 [size =\"51506176\"]\n  19 [size=\"23736320\", alpha=\"0.09\", expect_size=\"11868160\"] \n  19 -> 21 [size =\"11868160\"]\n  19 -> 22 [size =\"11868160\"]\n  20 [size=\"83214336\", alpha=\"0.03\", expect_size=\"41607168\"] \n  20 -> 21 [size =\"41607168\"]\n  21 [size=\"81838080\", alpha=\"0.07\", expect_size=\"40919040\"] \n  21 -> 23 [size =\"40919040\"]\n  22 [size=\"89874432\", alpha=\"0.13\", expect_size=\"44937216\"] \n  22 -> 23 [size =\"44937216\"]\n  23 [size=\"88459264\", alpha=\"0.08\", expect_size=\"44229632\"] \n  23 -> 24 [size =\"44229632\"]\n  23 -> 25 [size =\"44229632\"]\n  24 [size=\"50325504\", alpha=\"0.02\", expect_size=\"25162752\"] \n  25 [size=\"67297280\", alpha=\"0.20\", expect_size=\"33648640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49981440\", alpha=\"0.05\", expect_size=\"19992576\"] \n  2 [size=\"75317760\", alpha=\"0.14\", expect_size=\"30127104\"] \n  3 [size=\"98833920\", alpha=\"0.19\", expect_size=\"39533568\"] \n  4 [size=\"116067840\", alpha=\"0.11\", expect_size=\"46427136\"] \n  5 [size=\"111767040\", alpha=\"0.18\", expect_size=\"44706816\"] \n  5 -> 25 [size =\"44706816\"]\n  6 [size=\"73548800\", alpha=\"0.12\", expect_size=\"29419520\"] \n  6 -> 25 [size =\"29419520\"]\n  7 [size=\"42554880\", alpha=\"0.10\", expect_size=\"17021952\"] \n  7 -> 23 [size =\"17021952\"]\n  7 -> 24 [size =\"17021952\"]\n  8 [size=\"36672000\", alpha=\"0.03\", expect_size=\"14668800\"] \n  8 -> 23 [size =\"14668800\"]\n  8 -> 24 [size =\"14668800\"]\n  9 [size=\"54679040\", alpha=\"0.11\", expect_size=\"21871616\"] \n  10 [size=\"45409280\", alpha=\"0.09\", expect_size=\"18163712\"] \n  11 [size=\"110279680\", alpha=\"0.01\", expect_size=\"44111872\"] \n  12 [size=\"19683840\", alpha=\"0.07\", expect_size=\"7873536\"] \n  13 [size=\"102950400\", alpha=\"0.01\", expect_size=\"41180160\"] \n  13 -> 23 [size =\"41180160\"]\n  13 -> 24 [size =\"41180160\"]\n  14 [size=\"98711040\", alpha=\"0.07\", expect_size=\"39484416\"] \n  14 -> 24 [size =\"39484416\"]\n  14 -> 25 [size =\"39484416\"]\n  15 [size=\"44334080\", alpha=\"0.12\", expect_size=\"17733632\"] \n  15 -> 24 [size =\"17733632\"]\n  16 [size=\"32238080\", alpha=\"0.11\", expect_size=\"12895232\"] \n  16 -> 24 [size =\"12895232\"]\n  17 [size=\"104570880\", alpha=\"0.01\", expect_size=\"41828352\"] \n  18 [size=\"46407680\", alpha=\"0.02\", expect_size=\"18563072\"] \n  19 [size=\"62256640\", alpha=\"0.12\", expect_size=\"24902656\"] \n  20 [size=\"125112320\", alpha=\"0.03\", expect_size=\"50044928\"] \n  20 -> 24 [size =\"50044928\"]\n  21 [size=\"60917760\", alpha=\"0.01\", expect_size=\"24367104\"] \n  22 [size=\"68930560\", alpha=\"0.10\", expect_size=\"27572224\"] \n  23 [size=\"108981760\", alpha=\"0.13\", expect_size=\"43592704\"] \n  24 [size=\"116024320\", alpha=\"0.14\", expect_size=\"46409728\"] \n  25 [size=\"36469760\", alpha=\"0.11\", expect_size=\"14587904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111950507\", alpha=\"0.17\", expect_size=\"33585152\"] \n  1 -> 2 [size =\"33585152\"]\n  2 [size=\"131870720\", alpha=\"0.07\", expect_size=\"39561216\"] \n  2 -> 3 [size =\"39561216\"]\n  3 [size=\"154170027\", alpha=\"0.05\", expect_size=\"46251008\"] \n  3 -> 4 [size =\"46251008\"]\n  4 [size=\"36945920\", alpha=\"0.14\", expect_size=\"11083776\"] \n  4 -> 5 [size =\"11083776\"]\n  5 [size=\"36389547\", alpha=\"0.01\", expect_size=\"10916864\"] \n  5 -> 6 [size =\"10916864\"]\n  6 [size=\"98177707\", alpha=\"0.05\", expect_size=\"29453312\"] \n  6 -> 7 [size =\"29453312\"]\n  7 [size=\"30917973\", alpha=\"0.12\", expect_size=\"9275392\"] \n  7 -> 8 [size =\"9275392\"]\n  8 [size=\"139438080\", alpha=\"0.02\", expect_size=\"41831424\"] \n  8 -> 9 [size =\"41831424\"]\n  9 [size=\"40089600\", alpha=\"0.10\", expect_size=\"12026880\"] \n  9 -> 10 [size =\"12026880\"]\n  10 [size=\"57688747\", alpha=\"0.09\", expect_size=\"17306624\"] \n  10 -> 11 [size =\"17306624\"]\n  11 [size=\"61405867\", alpha=\"0.15\", expect_size=\"18421760\"] \n  11 -> 12 [size =\"18421760\"]\n  12 [size=\"39280640\", alpha=\"0.13\", expect_size=\"11784192\"] \n  12 -> 13 [size =\"11784192\"]\n  13 [size=\"91262293\", alpha=\"0.19\", expect_size=\"27378688\"] \n  13 -> 14 [size =\"27378688\"]\n  14 [size=\"130529280\", alpha=\"0.16\", expect_size=\"39158784\"] \n  14 -> 15 [size =\"39158784\"]\n  15 [size=\"86504107\", alpha=\"0.10\", expect_size=\"25951232\"] \n  15 -> 16 [size =\"25951232\"]\n  16 [size=\"95846400\", alpha=\"0.03\", expect_size=\"28753920\"] \n  16 -> 17 [size =\"28753920\"]\n  17 [size=\"136407040\", alpha=\"0.20\", expect_size=\"40922112\"] \n  17 -> 18 [size =\"40922112\"]\n  18 [size=\"70290773\", alpha=\"0.01\", expect_size=\"21087232\"] \n  18 -> 19 [size =\"21087232\"]\n  19 [size=\"89647787\", alpha=\"0.12\", expect_size=\"26894336\"] \n  19 -> 20 [size =\"26894336\"]\n  20 [size=\"171513173\", alpha=\"0.11\", expect_size=\"51453952\"] \n  20 -> 21 [size =\"51453952\"]\n  21 [size=\"87541760\", alpha=\"0.01\", expect_size=\"26262528\"] \n  21 -> 22 [size =\"26262528\"]\n  22 [size=\"47028907\", alpha=\"0.07\", expect_size=\"14108672\"] \n  22 -> 23 [size =\"14108672\"]\n  23 [size=\"149149013\", alpha=\"0.09\", expect_size=\"44744704\"] \n  23 -> 24 [size =\"44744704\"]\n  24 [size=\"138670080\", alpha=\"0.15\", expect_size=\"41601024\"] \n  24 -> 25 [size =\"41601024\"]\n  25 [size=\"110219947\", alpha=\"0.02\", expect_size=\"33065984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74667520\", alpha=\"0.09\", expect_size=\"29867008\"] \n  1 -> 19 [size =\"29867008\"]\n  1 -> 21 [size =\"29867008\"]\n  2 [size=\"61360640\", alpha=\"0.18\", expect_size=\"24544256\"] \n  2 -> 20 [size =\"24544256\"]\n  2 -> 21 [size =\"24544256\"]\n  2 -> 23 [size =\"24544256\"]\n  2 -> 25 [size =\"24544256\"]\n  3 [size=\"124789760\", alpha=\"0.00\", expect_size=\"49915904\"] \n  3 -> 17 [size =\"49915904\"]\n  3 -> 19 [size =\"49915904\"]\n  3 -> 21 [size =\"49915904\"]\n  3 -> 23 [size =\"49915904\"]\n  4 [size=\"74224640\", alpha=\"0.15\", expect_size=\"29689856\"] \n  4 -> 18 [size =\"29689856\"]\n  4 -> 19 [size =\"29689856\"]\n  4 -> 20 [size =\"29689856\"]\n  4 -> 25 [size =\"29689856\"]\n  5 [size=\"107486720\", alpha=\"0.02\", expect_size=\"42994688\"] \n  5 -> 17 [size =\"42994688\"]\n  5 -> 23 [size =\"42994688\"]\n  5 -> 25 [size =\"42994688\"]\n  6 [size=\"20922880\", alpha=\"0.05\", expect_size=\"8369152\"] \n  6 -> 18 [size =\"8369152\"]\n  6 -> 22 [size =\"8369152\"]\n  7 [size=\"17277440\", alpha=\"0.06\", expect_size=\"6910976\"] \n  7 -> 18 [size =\"6910976\"]\n  7 -> 22 [size =\"6910976\"]\n  8 [size=\"93309440\", alpha=\"0.11\", expect_size=\"37323776\"] \n  8 -> 17 [size =\"37323776\"]\n  8 -> 18 [size =\"37323776\"]\n  9 [size=\"35097600\", alpha=\"0.08\", expect_size=\"14039040\"] \n  9 -> 18 [size =\"14039040\"]\n  9 -> 19 [size =\"14039040\"]\n  9 -> 25 [size =\"14039040\"]\n  10 [size=\"15859200\", alpha=\"0.15\", expect_size=\"6343680\"] \n  10 -> 23 [size =\"6343680\"]\n  10 -> 25 [size =\"6343680\"]\n  11 [size=\"39605760\", alpha=\"0.03\", expect_size=\"15842304\"] \n  11 -> 17 [size =\"15842304\"]\n  11 -> 20 [size =\"15842304\"]\n  11 -> 23 [size =\"15842304\"]\n  12 [size=\"94709760\", alpha=\"0.17\", expect_size=\"37883904\"] \n  12 -> 19 [size =\"37883904\"]\n  12 -> 21 [size =\"37883904\"]\n  12 -> 24 [size =\"37883904\"]\n  13 [size=\"81126400\", alpha=\"0.08\", expect_size=\"32450560\"] \n  13 -> 18 [size =\"32450560\"]\n  13 -> 19 [size =\"32450560\"]\n  13 -> 22 [size =\"32450560\"]\n  13 -> 25 [size =\"32450560\"]\n  14 [size=\"81210880\", alpha=\"0.06\", expect_size=\"32484352\"] \n  14 -> 20 [size =\"32484352\"]\n  15 [size=\"51105280\", alpha=\"0.18\", expect_size=\"20442112\"] \n  15 -> 18 [size =\"20442112\"]\n  15 -> 21 [size =\"20442112\"]\n  16 [size=\"65553920\", alpha=\"0.03\", expect_size=\"26221568\"] \n  16 -> 17 [size =\"26221568\"]\n  16 -> 21 [size =\"26221568\"]\n  16 -> 25 [size =\"26221568\"]\n  17 [size=\"96115200\", alpha=\"0.17\", expect_size=\"38446080\"] \n  18 [size=\"15500800\", alpha=\"0.07\", expect_size=\"6200320\"] \n  19 [size=\"80371200\", alpha=\"0.01\", expect_size=\"32148480\"] \n  20 [size=\"127680000\", alpha=\"0.12\", expect_size=\"51072000\"] \n  21 [size=\"99038720\", alpha=\"0.14\", expect_size=\"39615488\"] \n  22 [size=\"116646400\", alpha=\"0.03\", expect_size=\"46658560\"] \n  23 [size=\"100638720\", alpha=\"0.12\", expect_size=\"40255488\"] \n  24 [size=\"32496640\", alpha=\"0.11\", expect_size=\"12998656\"] \n  25 [size=\"66990080\", alpha=\"0.06\", expect_size=\"26796032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52899840\", alpha=\"0.09\", expect_size=\"21159936\"] \n  1 -> 12 [size =\"21159936\"]\n  2 [size=\"69424640\", alpha=\"0.05\", expect_size=\"27769856\"] \n  2 -> 11 [size =\"27769856\"]\n  2 -> 12 [size =\"27769856\"]\n  3 [size=\"74759680\", alpha=\"0.04\", expect_size=\"29903872\"] \n  3 -> 11 [size =\"29903872\"]\n  3 -> 12 [size =\"29903872\"]\n  4 [size=\"113607680\", alpha=\"0.11\", expect_size=\"45443072\"] \n  4 -> 12 [size =\"45443072\"]\n  4 -> 13 [size =\"45443072\"]\n  5 [size=\"70914560\", alpha=\"0.03\", expect_size=\"28365824\"] \n  5 -> 10 [size =\"28365824\"]\n  5 -> 11 [size =\"28365824\"]\n  5 -> 13 [size =\"28365824\"]\n  6 [size=\"23493120\", alpha=\"0.17\", expect_size=\"9397248\"] \n  7 [size=\"40084480\", alpha=\"0.19\", expect_size=\"16033792\"] \n  7 -> 13 [size =\"16033792\"]\n  8 [size=\"74022400\", alpha=\"0.13\", expect_size=\"29608960\"] \n  9 [size=\"24399360\", alpha=\"0.06\", expect_size=\"9759744\"] \n  9 -> 13 [size =\"9759744\"]\n  10 [size=\"92226560\", alpha=\"0.19\", expect_size=\"36890624\"] \n  10 -> 20 [size =\"36890624\"]\n  10 -> 22 [size =\"36890624\"]\n  11 [size=\"37352960\", alpha=\"0.16\", expect_size=\"14941184\"] \n  11 -> 14 [size =\"14941184\"]\n  11 -> 17 [size =\"14941184\"]\n  11 -> 19 [size =\"14941184\"]\n  11 -> 20 [size =\"14941184\"]\n  11 -> 21 [size =\"14941184\"]\n  11 -> 23 [size =\"14941184\"]\n  12 [size=\"89287680\", alpha=\"0.17\", expect_size=\"35715072\"] \n  12 -> 14 [size =\"35715072\"]\n  12 -> 16 [size =\"35715072\"]\n  12 -> 18 [size =\"35715072\"]\n  12 -> 23 [size =\"35715072\"]\n  13 [size=\"116569600\", alpha=\"0.04\", expect_size=\"46627840\"] \n  13 -> 15 [size =\"46627840\"]\n  13 -> 17 [size =\"46627840\"]\n  13 -> 22 [size =\"46627840\"]\n  14 [size=\"19535360\", alpha=\"0.10\", expect_size=\"7814144\"] \n  15 [size=\"81868800\", alpha=\"0.02\", expect_size=\"32747520\"] \n  15 -> 25 [size =\"32747520\"]\n  16 [size=\"98557440\", alpha=\"0.15\", expect_size=\"39422976\"] \n  17 [size=\"78430720\", alpha=\"0.14\", expect_size=\"31372288\"] \n  17 -> 24 [size =\"31372288\"]\n  17 -> 25 [size =\"31372288\"]\n  18 [size=\"71700480\", alpha=\"0.06\", expect_size=\"28680192\"] \n  19 [size=\"29542400\", alpha=\"0.20\", expect_size=\"11816960\"] \n  20 [size=\"64496640\", alpha=\"0.13\", expect_size=\"25798656\"] \n  21 [size=\"55813120\", alpha=\"0.14\", expect_size=\"22325248\"] \n  22 [size=\"29921280\", alpha=\"0.04\", expect_size=\"11968512\"] \n  22 -> 24 [size =\"11968512\"]\n  23 [size=\"129280000\", alpha=\"0.05\", expect_size=\"51712000\"] \n  23 -> 24 [size =\"51712000\"]\n  24 [size=\"33592320\", alpha=\"0.02\", expect_size=\"13436928\"] \n  25 [size=\"89930240\", alpha=\"0.10\", expect_size=\"35972096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29861888\", alpha=\"0.13\", expect_size=\"14930944\"] \n  1 -> 8 [size =\"14930944\"]\n  1 -> 10 [size =\"14930944\"]\n  1 -> 13 [size =\"14930944\"]\n  1 -> 14 [size =\"14930944\"]\n  2 [size=\"64026624\", alpha=\"0.08\", expect_size=\"32013312\"] \n  2 -> 8 [size =\"32013312\"]\n  2 -> 14 [size =\"32013312\"]\n  3 [size=\"61577216\", alpha=\"0.20\", expect_size=\"30788608\"] \n  3 -> 10 [size =\"30788608\"]\n  3 -> 13 [size =\"30788608\"]\n  3 -> 14 [size =\"30788608\"]\n  4 [size=\"53440512\", alpha=\"0.09\", expect_size=\"26720256\"] \n  4 -> 11 [size =\"26720256\"]\n  5 [size=\"90961920\", alpha=\"0.01\", expect_size=\"45480960\"] \n  5 -> 8 [size =\"45480960\"]\n  5 -> 13 [size =\"45480960\"]\n  6 [size=\"49270784\", alpha=\"0.09\", expect_size=\"24635392\"] \n  6 -> 8 [size =\"24635392\"]\n  6 -> 10 [size =\"24635392\"]\n  6 -> 11 [size =\"24635392\"]\n  6 -> 12 [size =\"24635392\"]\n  7 [size=\"23062528\", alpha=\"0.18\", expect_size=\"11531264\"] \n  7 -> 9 [size =\"11531264\"]\n  7 -> 12 [size =\"11531264\"]\n  7 -> 13 [size =\"11531264\"]\n  8 [size=\"102359040\", alpha=\"0.01\", expect_size=\"51179520\"] \n  8 -> 19 [size =\"51179520\"]\n  9 [size=\"36792320\", alpha=\"0.10\", expect_size=\"18396160\"] \n  9 -> 20 [size =\"18396160\"]\n  10 [size=\"64249856\", alpha=\"0.15\", expect_size=\"32124928\"] \n  10 -> 17 [size =\"32124928\"]\n  11 [size=\"80676864\", alpha=\"0.01\", expect_size=\"40338432\"] \n  11 -> 15 [size =\"40338432\"]\n  11 -> 18 [size =\"40338432\"]\n  11 -> 19 [size =\"40338432\"]\n  11 -> 20 [size =\"40338432\"]\n  12 [size=\"48691200\", alpha=\"0.15\", expect_size=\"24345600\"] \n  12 -> 18 [size =\"24345600\"]\n  12 -> 19 [size =\"24345600\"]\n  12 -> 20 [size =\"24345600\"]\n  13 [size=\"86358016\", alpha=\"0.08\", expect_size=\"43179008\"] \n  13 -> 15 [size =\"43179008\"]\n  13 -> 20 [size =\"43179008\"]\n  14 [size=\"84305920\", alpha=\"0.13\", expect_size=\"42152960\"] \n  14 -> 16 [size =\"42152960\"]\n  14 -> 18 [size =\"42152960\"]\n  14 -> 19 [size =\"42152960\"]\n  15 [size=\"31981568\", alpha=\"0.16\", expect_size=\"15990784\"] \n  15 -> 21 [size =\"15990784\"]\n  15 -> 23 [size =\"15990784\"]\n  16 [size=\"34385920\", alpha=\"0.03\", expect_size=\"17192960\"] \n  16 -> 25 [size =\"17192960\"]\n  17 [size=\"75440128\", alpha=\"0.06\", expect_size=\"37720064\"] \n  18 [size=\"65900544\", alpha=\"0.17\", expect_size=\"32950272\"] \n  18 -> 21 [size =\"32950272\"]\n  18 -> 23 [size =\"32950272\"]\n  18 -> 24 [size =\"32950272\"]\n  19 [size=\"68724736\", alpha=\"0.02\", expect_size=\"34362368\"] \n  19 -> 22 [size =\"34362368\"]\n  19 -> 25 [size =\"34362368\"]\n  20 [size=\"23814144\", alpha=\"0.15\", expect_size=\"11907072\"] \n  20 -> 21 [size =\"11907072\"]\n  21 [size=\"95424512\", alpha=\"0.12\", expect_size=\"47712256\"] \n  22 [size=\"100511744\", alpha=\"0.01\", expect_size=\"50255872\"] \n  23 [size=\"74645504\", alpha=\"0.20\", expect_size=\"37322752\"] \n  24 [size=\"17602560\", alpha=\"0.08\", expect_size=\"8801280\"] \n  25 [size=\"80527360\", alpha=\"0.14\", expect_size=\"40263680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70754987\", alpha=\"0.01\", expect_size=\"21226496\"] \n  1 -> 22 [size =\"21226496\"]\n  1 -> 23 [size =\"21226496\"]\n  1 -> 24 [size =\"21226496\"]\n  2 [size=\"54476800\", alpha=\"0.03\", expect_size=\"16343040\"] \n  2 -> 22 [size =\"16343040\"]\n  2 -> 23 [size =\"16343040\"]\n  3 [size=\"61716480\", alpha=\"0.01\", expect_size=\"18514944\"] \n  3 -> 20 [size =\"18514944\"]\n  3 -> 22 [size =\"18514944\"]\n  3 -> 25 [size =\"18514944\"]\n  4 [size=\"94781440\", alpha=\"0.01\", expect_size=\"28434432\"] \n  4 -> 19 [size =\"28434432\"]\n  4 -> 22 [size =\"28434432\"]\n  5 [size=\"57149440\", alpha=\"0.14\", expect_size=\"17144832\"] \n  5 -> 19 [size =\"17144832\"]\n  5 -> 22 [size =\"17144832\"]\n  6 [size=\"120514560\", alpha=\"0.05\", expect_size=\"36154368\"] \n  6 -> 19 [size =\"36154368\"]\n  6 -> 20 [size =\"36154368\"]\n  6 -> 21 [size =\"36154368\"]\n  6 -> 22 [size =\"36154368\"]\n  7 [size=\"170608640\", alpha=\"0.01\", expect_size=\"51182592\"] \n  7 -> 21 [size =\"51182592\"]\n  7 -> 22 [size =\"51182592\"]\n  7 -> 23 [size =\"51182592\"]\n  7 -> 25 [size =\"51182592\"]\n  8 [size=\"160873813\", alpha=\"0.09\", expect_size=\"48262144\"] \n  8 -> 21 [size =\"48262144\"]\n  8 -> 23 [size =\"48262144\"]\n  8 -> 25 [size =\"48262144\"]\n  9 [size=\"88466773\", alpha=\"0.19\", expect_size=\"26540032\"] \n  9 -> 21 [size =\"26540032\"]\n  9 -> 23 [size =\"26540032\"]\n  10 [size=\"161269760\", alpha=\"0.09\", expect_size=\"48380928\"] \n  10 -> 19 [size =\"48380928\"]\n  10 -> 20 [size =\"48380928\"]\n  10 -> 21 [size =\"48380928\"]\n  10 -> 22 [size =\"48380928\"]\n  10 -> 23 [size =\"48380928\"]\n  10 -> 25 [size =\"48380928\"]\n  11 [size=\"32542720\", alpha=\"0.16\", expect_size=\"9762816\"] \n  11 -> 21 [size =\"9762816\"]\n  11 -> 22 [size =\"9762816\"]\n  11 -> 23 [size =\"9762816\"]\n  11 -> 24 [size =\"9762816\"]\n  11 -> 25 [size =\"9762816\"]\n  12 [size=\"44107093\", alpha=\"0.03\", expect_size=\"13232128\"] \n  12 -> 21 [size =\"13232128\"]\n  12 -> 22 [size =\"13232128\"]\n  12 -> 23 [size =\"13232128\"]\n  12 -> 24 [size =\"13232128\"]\n  13 [size=\"68908373\", alpha=\"0.15\", expect_size=\"20672512\"] \n  13 -> 21 [size =\"20672512\"]\n  13 -> 23 [size =\"20672512\"]\n  13 -> 24 [size =\"20672512\"]\n  13 -> 25 [size =\"20672512\"]\n  14 [size=\"78465707\", alpha=\"0.10\", expect_size=\"23539712\"] \n  14 -> 19 [size =\"23539712\"]\n  14 -> 22 [size =\"23539712\"]\n  14 -> 23 [size =\"23539712\"]\n  14 -> 24 [size =\"23539712\"]\n  15 [size=\"87801173\", alpha=\"0.18\", expect_size=\"26340352\"] \n  15 -> 21 [size =\"26340352\"]\n  15 -> 22 [size =\"26340352\"]\n  15 -> 23 [size =\"26340352\"]\n  15 -> 24 [size =\"26340352\"]\n  15 -> 25 [size =\"26340352\"]\n  16 [size=\"43267413\", alpha=\"0.16\", expect_size=\"12980224\"] \n  16 -> 21 [size =\"12980224\"]\n  16 -> 22 [size =\"12980224\"]\n  16 -> 23 [size =\"12980224\"]\n  16 -> 24 [size =\"12980224\"]\n  17 [size=\"80356693\", alpha=\"0.07\", expect_size=\"24107008\"] \n  17 -> 19 [size =\"24107008\"]\n  17 -> 20 [size =\"24107008\"]\n  17 -> 22 [size =\"24107008\"]\n  17 -> 24 [size =\"24107008\"]\n  18 [size=\"86702080\", alpha=\"0.04\", expect_size=\"26010624\"] \n  18 -> 22 [size =\"26010624\"]\n  18 -> 23 [size =\"26010624\"]\n  19 [size=\"154941440\", alpha=\"0.02\", expect_size=\"46482432\"] \n  20 [size=\"149558613\", alpha=\"0.07\", expect_size=\"44867584\"] \n  21 [size=\"66768213\", alpha=\"0.19\", expect_size=\"20030464\"] \n  22 [size=\"33423360\", alpha=\"0.16\", expect_size=\"10027008\"] \n  23 [size=\"60323840\", alpha=\"0.18\", expect_size=\"18097152\"] \n  24 [size=\"19309227\", alpha=\"0.10\", expect_size=\"5792768\"] \n  25 [size=\"101034667\", alpha=\"0.07\", expect_size=\"30310400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87306240\", alpha=\"0.09\", expect_size=\"26191872\"] \n  2 [size=\"123931307\", alpha=\"0.15\", expect_size=\"37179392\"] \n  2 -> 24 [size =\"37179392\"]\n  3 [size=\"79158613\", alpha=\"0.12\", expect_size=\"23747584\"] \n  4 [size=\"67044693\", alpha=\"0.13\", expect_size=\"20113408\"] \n  5 [size=\"133120000\", alpha=\"0.02\", expect_size=\"39936000\"] \n  5 -> 23 [size =\"39936000\"]\n  5 -> 25 [size =\"39936000\"]\n  6 [size=\"124948480\", alpha=\"0.01\", expect_size=\"37484544\"] \n  6 -> 23 [size =\"37484544\"]\n  6 -> 25 [size =\"37484544\"]\n  7 [size=\"114647040\", alpha=\"0.19\", expect_size=\"34394112\"] \n  7 -> 24 [size =\"34394112\"]\n  7 -> 25 [size =\"34394112\"]\n  8 [size=\"120210773\", alpha=\"0.18\", expect_size=\"36063232\"] \n  8 -> 24 [size =\"36063232\"]\n  8 -> 25 [size =\"36063232\"]\n  9 [size=\"154279253\", alpha=\"0.13\", expect_size=\"46283776\"] \n  10 [size=\"23821653\", alpha=\"0.07\", expect_size=\"7146496\"] \n  10 -> 23 [size =\"7146496\"]\n  10 -> 24 [size =\"7146496\"]\n  11 [size=\"24941227\", alpha=\"0.07\", expect_size=\"7482368\"] \n  11 -> 23 [size =\"7482368\"]\n  11 -> 24 [size =\"7482368\"]\n  12 [size=\"94276267\", alpha=\"0.19\", expect_size=\"28282880\"] \n  12 -> 24 [size =\"28282880\"]\n  13 [size=\"54442667\", alpha=\"0.13\", expect_size=\"16332800\"] \n  13 -> 23 [size =\"16332800\"]\n  13 -> 24 [size =\"16332800\"]\n  13 -> 25 [size =\"16332800\"]\n  14 [size=\"145428480\", alpha=\"0.15\", expect_size=\"43628544\"] \n  14 -> 24 [size =\"43628544\"]\n  14 -> 25 [size =\"43628544\"]\n  15 [size=\"92177067\", alpha=\"0.01\", expect_size=\"27653120\"] \n  15 -> 25 [size =\"27653120\"]\n  16 [size=\"104485547\", alpha=\"0.07\", expect_size=\"31345664\"] \n  16 -> 23 [size =\"31345664\"]\n  17 [size=\"113510400\", alpha=\"0.10\", expect_size=\"34053120\"] \n  17 -> 24 [size =\"34053120\"]\n  18 [size=\"104615253\", alpha=\"0.06\", expect_size=\"31384576\"] \n  19 [size=\"87234560\", alpha=\"0.02\", expect_size=\"26170368\"] \n  20 [size=\"31767893\", alpha=\"0.12\", expect_size=\"9530368\"] \n  20 -> 24 [size =\"9530368\"]\n  21 [size=\"90176853\", alpha=\"0.10\", expect_size=\"27053056\"] \n  21 -> 24 [size =\"27053056\"]\n  21 -> 25 [size =\"27053056\"]\n  22 [size=\"141332480\", alpha=\"0.02\", expect_size=\"42399744\"] \n  22 -> 25 [size =\"42399744\"]\n  22 -> 25 [size =\"42399744\"]\n  23 [size=\"130252800\", alpha=\"0.02\", expect_size=\"39075840\"] \n  24 [size=\"77762560\", alpha=\"0.08\", expect_size=\"23328768\"] \n  25 [size=\"38188373\", alpha=\"0.09\", expect_size=\"11456512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113472853\", alpha=\"0.12\", expect_size=\"34041856\"] \n  1 -> 3 [size =\"34041856\"]\n  2 [size=\"108987733\", alpha=\"0.09\", expect_size=\"32696320\"] \n  2 -> 4 [size =\"32696320\"]\n  3 [size=\"143991467\", alpha=\"0.04\", expect_size=\"43197440\"] \n  4 [size=\"74949973\", alpha=\"0.10\", expect_size=\"22484992\"] \n  4 -> 5 [size =\"22484992\"]\n  5 [size=\"44253867\", alpha=\"0.05\", expect_size=\"13276160\"] \n  5 -> 6 [size =\"13276160\"]\n  6 [size=\"92924587\", alpha=\"0.07\", expect_size=\"27877376\"] \n  6 -> 7 [size =\"27877376\"]\n  7 [size=\"154880000\", alpha=\"0.04\", expect_size=\"46464000\"] \n  7 -> 8 [size =\"46464000\"]\n  8 [size=\"74857813\", alpha=\"0.08\", expect_size=\"22457344\"] \n  8 -> 9 [size =\"22457344\"]\n  9 [size=\"170803200\", alpha=\"0.04\", expect_size=\"51240960\"] \n  9 -> 10 [size =\"51240960\"]\n  9 -> 11 [size =\"51240960\"]\n  10 [size=\"146868907\", alpha=\"0.19\", expect_size=\"44060672\"] \n  10 -> 12 [size =\"44060672\"]\n  11 [size=\"153760427\", alpha=\"0.17\", expect_size=\"46128128\"] \n  11 -> 12 [size =\"46128128\"]\n  12 [size=\"88722773\", alpha=\"0.02\", expect_size=\"26616832\"] \n  12 -> 13 [size =\"26616832\"]\n  13 [size=\"157579947\", alpha=\"0.12\", expect_size=\"47273984\"] \n  13 -> 14 [size =\"47273984\"]\n  14 [size=\"35225600\", alpha=\"0.10\", expect_size=\"10567680\"] \n  14 -> 15 [size =\"10567680\"]\n  14 -> 16 [size =\"10567680\"]\n  15 [size=\"116575573\", alpha=\"0.02\", expect_size=\"34972672\"] \n  16 [size=\"152535040\", alpha=\"0.19\", expect_size=\"45760512\"] \n  16 -> 17 [size =\"45760512\"]\n  17 [size=\"48902827\", alpha=\"0.16\", expect_size=\"14670848\"] \n  17 -> 18 [size =\"14670848\"]\n  17 -> 19 [size =\"14670848\"]\n  18 [size=\"80107520\", alpha=\"0.16\", expect_size=\"24032256\"] \n  18 -> 21 [size =\"24032256\"]\n  19 [size=\"146121387\", alpha=\"0.02\", expect_size=\"43836416\"] \n  19 -> 20 [size =\"43836416\"]\n  20 [size=\"19251200\", alpha=\"0.09\", expect_size=\"5775360\"] \n  21 [size=\"168915627\", alpha=\"0.08\", expect_size=\"50674688\"] \n  21 -> 22 [size =\"50674688\"]\n  22 [size=\"143564800\", alpha=\"0.19\", expect_size=\"43069440\"] \n  22 -> 23 [size =\"43069440\"]\n  22 -> 24 [size =\"43069440\"]\n  23 [size=\"157405867\", alpha=\"0.06\", expect_size=\"47221760\"] \n  24 [size=\"97419947\", alpha=\"0.20\", expect_size=\"29225984\"] \n  24 -> 25 [size =\"29225984\"]\n  25 [size=\"21288960\", alpha=\"0.18\", expect_size=\"6386688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45475840\", alpha=\"0.01\", expect_size=\"13642752\"] \n  1 -> 11 [size =\"13642752\"]\n  1 -> 14 [size =\"13642752\"]\n  1 -> 15 [size =\"13642752\"]\n  1 -> 16 [size =\"13642752\"]\n  2 [size=\"163488427\", alpha=\"0.12\", expect_size=\"49046528\"] \n  2 -> 10 [size =\"49046528\"]\n  2 -> 14 [size =\"49046528\"]\n  3 [size=\"36082347\", alpha=\"0.14\", expect_size=\"10824704\"] \n  3 -> 10 [size =\"10824704\"]\n  3 -> 12 [size =\"10824704\"]\n  3 -> 13 [size =\"10824704\"]\n  3 -> 14 [size =\"10824704\"]\n  4 [size=\"75840853\", alpha=\"0.12\", expect_size=\"22752256\"] \n  4 -> 13 [size =\"22752256\"]\n  4 -> 14 [size =\"22752256\"]\n  4 -> 16 [size =\"22752256\"]\n  5 [size=\"144561493\", alpha=\"0.01\", expect_size=\"43368448\"] \n  5 -> 13 [size =\"43368448\"]\n  5 -> 15 [size =\"43368448\"]\n  6 [size=\"50343253\", alpha=\"0.17\", expect_size=\"15102976\"] \n  6 -> 10 [size =\"15102976\"]\n  6 -> 12 [size =\"15102976\"]\n  7 [size=\"58378240\", alpha=\"0.05\", expect_size=\"17513472\"] \n  7 -> 10 [size =\"17513472\"]\n  7 -> 11 [size =\"17513472\"]\n  7 -> 16 [size =\"17513472\"]\n  8 [size=\"145411413\", alpha=\"0.02\", expect_size=\"43623424\"] \n  8 -> 11 [size =\"43623424\"]\n  8 -> 13 [size =\"43623424\"]\n  8 -> 15 [size =\"43623424\"]\n  9 [size=\"21514240\", alpha=\"0.09\", expect_size=\"6454272\"] \n  9 -> 10 [size =\"6454272\"]\n  9 -> 12 [size =\"6454272\"]\n  9 -> 13 [size =\"6454272\"]\n  9 -> 14 [size =\"6454272\"]\n  9 -> 15 [size =\"6454272\"]\n  10 [size=\"125197653\", alpha=\"0.12\", expect_size=\"37559296\"] \n  10 -> 22 [size =\"37559296\"]\n  11 [size=\"162355200\", alpha=\"0.03\", expect_size=\"48706560\"] \n  11 -> 17 [size =\"48706560\"]\n  11 -> 18 [size =\"48706560\"]\n  12 [size=\"170321920\", alpha=\"0.06\", expect_size=\"51096576\"] \n  12 -> 18 [size =\"51096576\"]\n  12 -> 20 [size =\"51096576\"]\n  13 [size=\"103946240\", alpha=\"0.05\", expect_size=\"31183872\"] \n  14 [size=\"55227733\", alpha=\"0.19\", expect_size=\"16568320\"] \n  14 -> 18 [size =\"16568320\"]\n  14 -> 21 [size =\"16568320\"]\n  15 [size=\"153402027\", alpha=\"0.14\", expect_size=\"46020608\"] \n  15 -> 17 [size =\"46020608\"]\n  15 -> 18 [size =\"46020608\"]\n  15 -> 19 [size =\"46020608\"]\n  15 -> 23 [size =\"46020608\"]\n  16 [size=\"164884480\", alpha=\"0.02\", expect_size=\"49465344\"] \n  16 -> 19 [size =\"49465344\"]\n  16 -> 20 [size =\"49465344\"]\n  17 [size=\"144558080\", alpha=\"0.05\", expect_size=\"43367424\"] \n  17 -> 25 [size =\"43367424\"]\n  18 [size=\"24634027\", alpha=\"0.09\", expect_size=\"7390208\"] \n  19 [size=\"39659520\", alpha=\"0.05\", expect_size=\"11897856\"] \n  20 [size=\"110970880\", alpha=\"0.04\", expect_size=\"33291264\"] \n  20 -> 24 [size =\"33291264\"]\n  21 [size=\"49367040\", alpha=\"0.07\", expect_size=\"14810112\"] \n  21 -> 24 [size =\"14810112\"]\n  22 [size=\"75926187\", alpha=\"0.08\", expect_size=\"22777856\"] \n  22 -> 24 [size =\"22777856\"]\n  23 [size=\"120504320\", alpha=\"0.12\", expect_size=\"36151296\"] \n  23 -> 24 [size =\"36151296\"]\n  24 [size=\"159296853\", alpha=\"0.03\", expect_size=\"47789056\"] \n  25 [size=\"151261867\", alpha=\"0.10\", expect_size=\"45378560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101386240\", alpha=\"0.19\", expect_size=\"40554496\"] \n  1 -> 2 [size =\"40554496\"]\n  2 [size=\"93632000\", alpha=\"0.13\", expect_size=\"37452800\"] \n  2 -> 3 [size =\"37452800\"]\n  3 [size=\"19402240\", alpha=\"0.08\", expect_size=\"7760896\"] \n  3 -> 4 [size =\"7760896\"]\n  4 [size=\"122076160\", alpha=\"0.18\", expect_size=\"48830464\"] \n  4 -> 5 [size =\"48830464\"]\n  5 [size=\"35443200\", alpha=\"0.03\", expect_size=\"14177280\"] \n  5 -> 6 [size =\"14177280\"]\n  6 [size=\"122634240\", alpha=\"0.08\", expect_size=\"49053696\"] \n  6 -> 7 [size =\"49053696\"]\n  7 [size=\"61688320\", alpha=\"0.12\", expect_size=\"24675328\"] \n  7 -> 8 [size =\"24675328\"]\n  8 [size=\"124492800\", alpha=\"0.07\", expect_size=\"49797120\"] \n  8 -> 9 [size =\"49797120\"]\n  9 [size=\"118208000\", alpha=\"0.18\", expect_size=\"47283200\"] \n  9 -> 10 [size =\"47283200\"]\n  10 [size=\"55042560\", alpha=\"0.15\", expect_size=\"22017024\"] \n  10 -> 11 [size =\"22017024\"]\n  11 [size=\"76239360\", alpha=\"0.07\", expect_size=\"30495744\"] \n  11 -> 12 [size =\"30495744\"]\n  12 [size=\"72309760\", alpha=\"0.15\", expect_size=\"28923904\"] \n  12 -> 13 [size =\"28923904\"]\n  13 [size=\"32463360\", alpha=\"0.13\", expect_size=\"12985344\"] \n  13 -> 14 [size =\"12985344\"]\n  14 [size=\"81820160\", alpha=\"0.11\", expect_size=\"32728064\"] \n  14 -> 15 [size =\"32728064\"]\n  15 [size=\"71869440\", alpha=\"0.00\", expect_size=\"28747776\"] \n  15 -> 16 [size =\"28747776\"]\n  16 [size=\"87825920\", alpha=\"0.11\", expect_size=\"35130368\"] \n  16 -> 17 [size =\"35130368\"]\n  17 [size=\"18833920\", alpha=\"0.12\", expect_size=\"7533568\"] \n  17 -> 18 [size =\"7533568\"]\n  18 [size=\"88655360\", alpha=\"0.15\", expect_size=\"35462144\"] \n  18 -> 19 [size =\"35462144\"]\n  19 [size=\"130053120\", alpha=\"0.19\", expect_size=\"52021248\"] \n  19 -> 20 [size =\"52021248\"]\n  20 [size=\"117181440\", alpha=\"0.06\", expect_size=\"46872576\"] \n  20 -> 21 [size =\"46872576\"]\n  21 [size=\"88419840\", alpha=\"0.08\", expect_size=\"35367936\"] \n  21 -> 22 [size =\"35367936\"]\n  22 [size=\"13726720\", alpha=\"0.03\", expect_size=\"5490688\"] \n  22 -> 23 [size =\"5490688\"]\n  23 [size=\"104404480\", alpha=\"0.00\", expect_size=\"41761792\"] \n  23 -> 24 [size =\"41761792\"]\n  24 [size=\"63298560\", alpha=\"0.15\", expect_size=\"25319424\"] \n  24 -> 25 [size =\"25319424\"]\n  25 [size=\"131008000\", alpha=\"0.14\", expect_size=\"52403200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122279253\", alpha=\"0.17\", expect_size=\"36683776\"] \n  1 -> 20 [size =\"36683776\"]\n  1 -> 21 [size =\"36683776\"]\n  1 -> 24 [size =\"36683776\"]\n  2 [size=\"121658027\", alpha=\"0.08\", expect_size=\"36497408\"] \n  2 -> 21 [size =\"36497408\"]\n  3 [size=\"39393280\", alpha=\"0.03\", expect_size=\"11817984\"] \n  3 -> 21 [size =\"11817984\"]\n  3 -> 22 [size =\"11817984\"]\n  3 -> 23 [size =\"11817984\"]\n  4 [size=\"138516480\", alpha=\"0.13\", expect_size=\"41554944\"] \n  4 -> 23 [size =\"41554944\"]\n  4 -> 25 [size =\"41554944\"]\n  5 [size=\"42096640\", alpha=\"0.14\", expect_size=\"12628992\"] \n  5 -> 22 [size =\"12628992\"]\n  5 -> 23 [size =\"12628992\"]\n  6 [size=\"26603520\", alpha=\"0.10\", expect_size=\"7981056\"] \n  6 -> 20 [size =\"7981056\"]\n  6 -> 23 [size =\"7981056\"]\n  7 [size=\"59129173\", alpha=\"0.05\", expect_size=\"17738752\"] \n  8 [size=\"172943360\", alpha=\"0.14\", expect_size=\"51883008\"] \n  9 [size=\"57149440\", alpha=\"0.10\", expect_size=\"17144832\"] \n  9 -> 23 [size =\"17144832\"]\n  10 [size=\"152558933\", alpha=\"0.09\", expect_size=\"45767680\"] \n  10 -> 21 [size =\"45767680\"]\n  10 -> 23 [size =\"45767680\"]\n  11 [size=\"109178880\", alpha=\"0.05\", expect_size=\"32753664\"] \n  12 [size=\"85039787\", alpha=\"0.12\", expect_size=\"25511936\"] \n  12 -> 20 [size =\"25511936\"]\n  13 [size=\"148200107\", alpha=\"0.02\", expect_size=\"44460032\"] \n  13 -> 20 [size =\"44460032\"]\n  13 -> 21 [size =\"44460032\"]\n  14 [size=\"173909333\", alpha=\"0.06\", expect_size=\"52172800\"] \n  14 -> 20 [size =\"52172800\"]\n  14 -> 23 [size =\"52172800\"]\n  15 [size=\"115312640\", alpha=\"0.05\", expect_size=\"34593792\"] \n  15 -> 20 [size =\"34593792\"]\n  16 [size=\"70205440\", alpha=\"0.05\", expect_size=\"21061632\"] \n  16 -> 20 [size =\"21061632\"]\n  16 -> 23 [size =\"21061632\"]\n  17 [size=\"151207253\", alpha=\"0.13\", expect_size=\"45362176\"] \n  17 -> 22 [size =\"45362176\"]\n  18 [size=\"36468053\", alpha=\"0.11\", expect_size=\"10940416\"] \n  18 -> 21 [size =\"10940416\"]\n  18 -> 25 [size =\"10940416\"]\n  19 [size=\"147476480\", alpha=\"0.02\", expect_size=\"44242944\"] \n  20 [size=\"66228907\", alpha=\"0.03\", expect_size=\"19868672\"] \n  21 [size=\"134417067\", alpha=\"0.17\", expect_size=\"40325120\"] \n  22 [size=\"19449173\", alpha=\"0.04\", expect_size=\"5834752\"] \n  23 [size=\"117483520\", alpha=\"0.14\", expect_size=\"35245056\"] \n  24 [size=\"136789333\", alpha=\"0.19\", expect_size=\"41036800\"] \n  25 [size=\"29399040\", alpha=\"0.07\", expect_size=\"8819712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45491200\", alpha=\"0.04\", expect_size=\"18196480\"] \n  1 -> 15 [size =\"18196480\"]\n  1 -> 16 [size =\"18196480\"]\n  1 -> 19 [size =\"18196480\"]\n  1 -> 25 [size =\"18196480\"]\n  2 [size=\"84771840\", alpha=\"0.20\", expect_size=\"33908736\"] \n  2 -> 18 [size =\"33908736\"]\n  2 -> 21 [size =\"33908736\"]\n  2 -> 22 [size =\"33908736\"]\n  2 -> 25 [size =\"33908736\"]\n  3 [size=\"43123200\", alpha=\"0.14\", expect_size=\"17249280\"] \n  3 -> 18 [size =\"17249280\"]\n  3 -> 20 [size =\"17249280\"]\n  3 -> 21 [size =\"17249280\"]\n  3 -> 23 [size =\"17249280\"]\n  4 [size=\"24688640\", alpha=\"0.15\", expect_size=\"9875456\"] \n  4 -> 18 [size =\"9875456\"]\n  4 -> 21 [size =\"9875456\"]\n  5 [size=\"30254080\", alpha=\"0.02\", expect_size=\"12101632\"] \n  5 -> 15 [size =\"12101632\"]\n  5 -> 19 [size =\"12101632\"]\n  5 -> 20 [size =\"12101632\"]\n  5 -> 23 [size =\"12101632\"]\n  5 -> 24 [size =\"12101632\"]\n  6 [size=\"83061760\", alpha=\"0.17\", expect_size=\"33224704\"] \n  6 -> 24 [size =\"33224704\"]\n  6 -> 25 [size =\"33224704\"]\n  7 [size=\"62282240\", alpha=\"0.14\", expect_size=\"24912896\"] \n  7 -> 15 [size =\"24912896\"]\n  7 -> 20 [size =\"24912896\"]\n  7 -> 24 [size =\"24912896\"]\n  7 -> 25 [size =\"24912896\"]\n  8 [size=\"41290240\", alpha=\"0.13\", expect_size=\"16516096\"] \n  8 -> 16 [size =\"16516096\"]\n  8 -> 19 [size =\"16516096\"]\n  8 -> 21 [size =\"16516096\"]\n  8 -> 24 [size =\"16516096\"]\n  9 [size=\"93432320\", alpha=\"0.13\", expect_size=\"37372928\"] \n  9 -> 18 [size =\"37372928\"]\n  9 -> 20 [size =\"37372928\"]\n  9 -> 25 [size =\"37372928\"]\n  10 [size=\"71687680\", alpha=\"0.17\", expect_size=\"28675072\"] \n  10 -> 20 [size =\"28675072\"]\n  10 -> 21 [size =\"28675072\"]\n  10 -> 24 [size =\"28675072\"]\n  11 [size=\"18746880\", alpha=\"0.06\", expect_size=\"7498752\"] \n  11 -> 16 [size =\"7498752\"]\n  11 -> 17 [size =\"7498752\"]\n  11 -> 18 [size =\"7498752\"]\n  11 -> 21 [size =\"7498752\"]\n  11 -> 25 [size =\"7498752\"]\n  12 [size=\"44157440\", alpha=\"0.18\", expect_size=\"17662976\"] \n  12 -> 19 [size =\"17662976\"]\n  12 -> 21 [size =\"17662976\"]\n  13 [size=\"43251200\", alpha=\"0.11\", expect_size=\"17300480\"] \n  13 -> 16 [size =\"17300480\"]\n  14 [size=\"123822080\", alpha=\"0.01\", expect_size=\"49528832\"] \n  14 -> 15 [size =\"49528832\"]\n  14 -> 18 [size =\"49528832\"]\n  14 -> 19 [size =\"49528832\"]\n  14 -> 25 [size =\"49528832\"]\n  15 [size=\"92147200\", alpha=\"0.08\", expect_size=\"36858880\"] \n  16 [size=\"101204480\", alpha=\"0.06\", expect_size=\"40481792\"] \n  17 [size=\"82199040\", alpha=\"0.06\", expect_size=\"32879616\"] \n  18 [size=\"44003840\", alpha=\"0.03\", expect_size=\"17601536\"] \n  19 [size=\"122380800\", alpha=\"0.13\", expect_size=\"48952320\"] \n  20 [size=\"83274240\", alpha=\"0.08\", expect_size=\"33309696\"] \n  21 [size=\"63856640\", alpha=\"0.09\", expect_size=\"25542656\"] \n  22 [size=\"100595200\", alpha=\"0.02\", expect_size=\"40238080\"] \n  23 [size=\"87411200\", alpha=\"0.00\", expect_size=\"34964480\"] \n  24 [size=\"35269120\", alpha=\"0.00\", expect_size=\"14107648\"] \n  25 [size=\"41953280\", alpha=\"0.03\", expect_size=\"16781312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27632640\", alpha=\"0.17\", expect_size=\"11053056\"] \n  1 -> 2 [size =\"11053056\"]\n  2 [size=\"113789440\", alpha=\"0.20\", expect_size=\"45515776\"] \n  2 -> 3 [size =\"45515776\"]\n  3 [size=\"41044480\", alpha=\"0.18\", expect_size=\"16417792\"] \n  3 -> 4 [size =\"16417792\"]\n  4 [size=\"113681920\", alpha=\"0.19\", expect_size=\"45472768\"] \n  4 -> 5 [size =\"45472768\"]\n  5 [size=\"89876480\", alpha=\"0.16\", expect_size=\"35950592\"] \n  5 -> 6 [size =\"35950592\"]\n  6 [size=\"70799360\", alpha=\"0.14\", expect_size=\"28319744\"] \n  6 -> 7 [size =\"28319744\"]\n  7 [size=\"47229440\", alpha=\"0.17\", expect_size=\"18891776\"] \n  7 -> 8 [size =\"18891776\"]\n  8 [size=\"77788160\", alpha=\"0.19\", expect_size=\"31115264\"] \n  8 -> 9 [size =\"31115264\"]\n  9 [size=\"114416640\", alpha=\"0.10\", expect_size=\"45766656\"] \n  9 -> 10 [size =\"45766656\"]\n  10 [size=\"68154880\", alpha=\"0.00\", expect_size=\"27261952\"] \n  10 -> 11 [size =\"27261952\"]\n  11 [size=\"103941120\", alpha=\"0.02\", expect_size=\"41576448\"] \n  11 -> 12 [size =\"41576448\"]\n  12 [size=\"86837760\", alpha=\"0.15\", expect_size=\"34735104\"] \n  12 -> 13 [size =\"34735104\"]\n  13 [size=\"86620160\", alpha=\"0.15\", expect_size=\"34648064\"] \n  13 -> 14 [size =\"34648064\"]\n  14 [size=\"72156160\", alpha=\"0.06\", expect_size=\"28862464\"] \n  14 -> 15 [size =\"28862464\"]\n  15 [size=\"63413760\", alpha=\"0.10\", expect_size=\"25365504\"] \n  15 -> 16 [size =\"25365504\"]\n  16 [size=\"38714880\", alpha=\"0.17\", expect_size=\"15485952\"] \n  16 -> 17 [size =\"15485952\"]\n  17 [size=\"122698240\", alpha=\"0.11\", expect_size=\"49079296\"] \n  17 -> 18 [size =\"49079296\"]\n  18 [size=\"103797760\", alpha=\"0.04\", expect_size=\"41519104\"] \n  18 -> 19 [size =\"41519104\"]\n  19 [size=\"99159040\", alpha=\"0.10\", expect_size=\"39663616\"] \n  19 -> 20 [size =\"39663616\"]\n  20 [size=\"42728960\", alpha=\"0.08\", expect_size=\"17091584\"] \n  20 -> 21 [size =\"17091584\"]\n  21 [size=\"42997760\", alpha=\"0.08\", expect_size=\"17199104\"] \n  21 -> 22 [size =\"17199104\"]\n  22 [size=\"55068160\", alpha=\"0.06\", expect_size=\"22027264\"] \n  22 -> 23 [size =\"22027264\"]\n  23 [size=\"22781440\", alpha=\"0.08\", expect_size=\"9112576\"] \n  23 -> 24 [size =\"9112576\"]\n  24 [size=\"108641280\", alpha=\"0.07\", expect_size=\"43456512\"] \n  24 -> 25 [size =\"43456512\"]\n  25 [size=\"27609600\", alpha=\"0.19\", expect_size=\"11043840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65224704\", alpha=\"0.05\", expect_size=\"32612352\"] \n  1 -> 2 [size =\"32612352\"]\n  2 [size=\"61134848\", alpha=\"0.05\", expect_size=\"30567424\"] \n  2 -> 3 [size =\"30567424\"]\n  3 [size=\"70555648\", alpha=\"0.14\", expect_size=\"35277824\"] \n  3 -> 4 [size =\"35277824\"]\n  4 [size=\"47495168\", alpha=\"0.04\", expect_size=\"23747584\"] \n  4 -> 5 [size =\"23747584\"]\n  5 [size=\"49367040\", alpha=\"0.03\", expect_size=\"24683520\"] \n  5 -> 6 [size =\"24683520\"]\n  6 [size=\"50032640\", alpha=\"0.18\", expect_size=\"25016320\"] \n  6 -> 7 [size =\"25016320\"]\n  7 [size=\"12478464\", alpha=\"0.00\", expect_size=\"6239232\"] \n  7 -> 8 [size =\"6239232\"]\n  8 [size=\"76396544\", alpha=\"0.03\", expect_size=\"38198272\"] \n  8 -> 9 [size =\"38198272\"]\n  9 [size=\"94861312\", alpha=\"0.17\", expect_size=\"47430656\"] \n  9 -> 10 [size =\"47430656\"]\n  10 [size=\"67930112\", alpha=\"0.12\", expect_size=\"33965056\"] \n  10 -> 11 [size =\"33965056\"]\n  11 [size=\"92504064\", alpha=\"0.02\", expect_size=\"46252032\"] \n  11 -> 12 [size =\"46252032\"]\n  12 [size=\"21080064\", alpha=\"0.07\", expect_size=\"10540032\"] \n  12 -> 13 [size =\"10540032\"]\n  13 [size=\"42448896\", alpha=\"0.06\", expect_size=\"21224448\"] \n  13 -> 14 [size =\"21224448\"]\n  14 [size=\"15056896\", alpha=\"0.04\", expect_size=\"7528448\"] \n  14 -> 15 [size =\"7528448\"]\n  15 [size=\"33781760\", alpha=\"0.05\", expect_size=\"16890880\"] \n  15 -> 16 [size =\"16890880\"]\n  16 [size=\"50044928\", alpha=\"0.01\", expect_size=\"25022464\"] \n  16 -> 17 [size =\"25022464\"]\n  17 [size=\"42047488\", alpha=\"0.06\", expect_size=\"21023744\"] \n  17 -> 18 [size =\"21023744\"]\n  18 [size=\"44285952\", alpha=\"0.16\", expect_size=\"22142976\"] \n  18 -> 19 [size =\"22142976\"]\n  19 [size=\"60329984\", alpha=\"0.07\", expect_size=\"30164992\"] \n  19 -> 20 [size =\"30164992\"]\n  20 [size=\"48254976\", alpha=\"0.07\", expect_size=\"24127488\"] \n  20 -> 21 [size =\"24127488\"]\n  21 [size=\"103991296\", alpha=\"0.18\", expect_size=\"51995648\"] \n  21 -> 22 [size =\"51995648\"]\n  22 [size=\"19539968\", alpha=\"0.01\", expect_size=\"9769984\"] \n  22 -> 23 [size =\"9769984\"]\n  23 [size=\"52658176\", alpha=\"0.16\", expect_size=\"26329088\"] \n  23 -> 24 [size =\"26329088\"]\n  24 [size=\"80922624\", alpha=\"0.19\", expect_size=\"40461312\"] \n  24 -> 25 [size =\"40461312\"]\n  25 [size=\"99682304\", alpha=\"0.10\", expect_size=\"49841152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20555093\", alpha=\"0.12\", expect_size=\"6166528\"] \n  1 -> 2 [size =\"6166528\"]\n  2 [size=\"48889173\", alpha=\"0.19\", expect_size=\"14666752\"] \n  2 -> 3 [size =\"14666752\"]\n  3 [size=\"19490133\", alpha=\"0.10\", expect_size=\"5847040\"] \n  3 -> 4 [size =\"5847040\"]\n  4 [size=\"81117867\", alpha=\"0.19\", expect_size=\"24335360\"] \n  4 -> 5 [size =\"24335360\"]\n  5 [size=\"118418773\", alpha=\"0.11\", expect_size=\"35525632\"] \n  5 -> 6 [size =\"35525632\"]\n  6 [size=\"145298773\", alpha=\"0.02\", expect_size=\"43589632\"] \n  6 -> 7 [size =\"43589632\"]\n  7 [size=\"129286827\", alpha=\"0.13\", expect_size=\"38786048\"] \n  7 -> 8 [size =\"38786048\"]\n  8 [size=\"143267840\", alpha=\"0.07\", expect_size=\"42980352\"] \n  8 -> 9 [size =\"42980352\"]\n  9 [size=\"76113920\", alpha=\"0.03\", expect_size=\"22834176\"] \n  9 -> 10 [size =\"22834176\"]\n  10 [size=\"46588587\", alpha=\"0.02\", expect_size=\"13976576\"] \n  10 -> 11 [size =\"13976576\"]\n  11 [size=\"79083520\", alpha=\"0.10\", expect_size=\"23725056\"] \n  11 -> 12 [size =\"23725056\"]\n  12 [size=\"19066880\", alpha=\"0.07\", expect_size=\"5720064\"] \n  12 -> 13 [size =\"5720064\"]\n  13 [size=\"166809600\", alpha=\"0.05\", expect_size=\"50042880\"] \n  13 -> 14 [size =\"50042880\"]\n  14 [size=\"91873280\", alpha=\"0.18\", expect_size=\"27561984\"] \n  14 -> 15 [size =\"27561984\"]\n  15 [size=\"83773440\", alpha=\"0.07\", expect_size=\"25132032\"] \n  15 -> 16 [size =\"25132032\"]\n  16 [size=\"166628693\", alpha=\"0.00\", expect_size=\"49988608\"] \n  16 -> 17 [size =\"49988608\"]\n  17 [size=\"22753280\", alpha=\"0.04\", expect_size=\"6825984\"] \n  17 -> 18 [size =\"6825984\"]\n  18 [size=\"127645013\", alpha=\"0.01\", expect_size=\"38293504\"] \n  18 -> 19 [size =\"38293504\"]\n  19 [size=\"22159360\", alpha=\"0.04\", expect_size=\"6647808\"] \n  19 -> 20 [size =\"6647808\"]\n  20 [size=\"47476053\", alpha=\"0.04\", expect_size=\"14242816\"] \n  20 -> 21 [size =\"14242816\"]\n  21 [size=\"63726933\", alpha=\"0.05\", expect_size=\"19118080\"] \n  21 -> 22 [size =\"19118080\"]\n  22 [size=\"144721920\", alpha=\"0.10\", expect_size=\"43416576\"] \n  22 -> 23 [size =\"43416576\"]\n  23 [size=\"44264107\", alpha=\"0.15\", expect_size=\"13279232\"] \n  23 -> 24 [size =\"13279232\"]\n  24 [size=\"80595627\", alpha=\"0.08\", expect_size=\"24178688\"] \n  24 -> 25 [size =\"24178688\"]\n  25 [size=\"66887680\", alpha=\"0.14\", expect_size=\"20066304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48377173\", alpha=\"0.15\", expect_size=\"14513152\"] \n  1 -> 4 [size =\"14513152\"]\n  1 -> 6 [size =\"14513152\"]\n  2 [size=\"157624320\", alpha=\"0.03\", expect_size=\"47287296\"] \n  2 -> 4 [size =\"47287296\"]\n  2 -> 5 [size =\"47287296\"]\n  3 [size=\"29327360\", alpha=\"0.00\", expect_size=\"8798208\"] \n  3 -> 4 [size =\"8798208\"]\n  4 [size=\"128146773\", alpha=\"0.03\", expect_size=\"38444032\"] \n  4 -> 7 [size =\"38444032\"]\n  4 -> 8 [size =\"38444032\"]\n  4 -> 9 [size =\"38444032\"]\n  5 [size=\"94764373\", alpha=\"0.06\", expect_size=\"28429312\"] \n  5 -> 9 [size =\"28429312\"]\n  6 [size=\"127959040\", alpha=\"0.20\", expect_size=\"38387712\"] \n  6 -> 7 [size =\"38387712\"]\n  6 -> 8 [size =\"38387712\"]\n  6 -> 9 [size =\"38387712\"]\n  7 [size=\"151524693\", alpha=\"0.08\", expect_size=\"45457408\"] \n  7 -> 10 [size =\"45457408\"]\n  7 -> 12 [size =\"45457408\"]\n  8 [size=\"95935147\", alpha=\"0.09\", expect_size=\"28780544\"] \n  8 -> 10 [size =\"28780544\"]\n  8 -> 11 [size =\"28780544\"]\n  9 [size=\"151572480\", alpha=\"0.09\", expect_size=\"45471744\"] \n  9 -> 10 [size =\"45471744\"]\n  10 [size=\"102041600\", alpha=\"0.09\", expect_size=\"30612480\"] \n  10 -> 13 [size =\"30612480\"]\n  10 -> 14 [size =\"30612480\"]\n  10 -> 15 [size =\"30612480\"]\n  10 -> 16 [size =\"30612480\"]\n  11 [size=\"157006507\", alpha=\"0.15\", expect_size=\"47101952\"] \n  11 -> 13 [size =\"47101952\"]\n  11 -> 14 [size =\"47101952\"]\n  11 -> 15 [size =\"47101952\"]\n  11 -> 16 [size =\"47101952\"]\n  12 [size=\"118483627\", alpha=\"0.10\", expect_size=\"35545088\"] \n  12 -> 13 [size =\"35545088\"]\n  12 -> 14 [size =\"35545088\"]\n  12 -> 15 [size =\"35545088\"]\n  13 [size=\"140711253\", alpha=\"0.20\", expect_size=\"42213376\"] \n  13 -> 17 [size =\"42213376\"]\n  13 -> 18 [size =\"42213376\"]\n  14 [size=\"144568320\", alpha=\"0.19\", expect_size=\"43370496\"] \n  14 -> 17 [size =\"43370496\"]\n  15 [size=\"164648960\", alpha=\"0.18\", expect_size=\"49394688\"] \n  15 -> 18 [size =\"49394688\"]\n  15 -> 19 [size =\"49394688\"]\n  16 [size=\"53271893\", alpha=\"0.11\", expect_size=\"15981568\"] \n  17 [size=\"51838293\", alpha=\"0.02\", expect_size=\"15551488\"] \n  17 -> 21 [size =\"15551488\"]\n  17 -> 22 [size =\"15551488\"]\n  17 -> 23 [size =\"15551488\"]\n  18 [size=\"114667520\", alpha=\"0.06\", expect_size=\"34400256\"] \n  18 -> 20 [size =\"34400256\"]\n  18 -> 21 [size =\"34400256\"]\n  18 -> 22 [size =\"34400256\"]\n  18 -> 23 [size =\"34400256\"]\n  19 [size=\"25272320\", alpha=\"0.14\", expect_size=\"7581696\"] \n  19 -> 22 [size =\"7581696\"]\n  19 -> 23 [size =\"7581696\"]\n  20 [size=\"98655573\", alpha=\"0.09\", expect_size=\"29596672\"] \n  21 [size=\"166171307\", alpha=\"0.08\", expect_size=\"49851392\"] \n  21 -> 24 [size =\"49851392\"]\n  22 [size=\"130597547\", alpha=\"0.05\", expect_size=\"39179264\"] \n  22 -> 24 [size =\"39179264\"]\n  23 [size=\"48817493\", alpha=\"0.03\", expect_size=\"14645248\"] \n  23 -> 24 [size =\"14645248\"]\n  23 -> 25 [size =\"14645248\"]\n  24 [size=\"48022187\", alpha=\"0.16\", expect_size=\"14406656\"] \n  25 [size=\"42192213\", alpha=\"0.18\", expect_size=\"12657664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157760853\", alpha=\"0.17\", expect_size=\"47328256\"] \n  2 [size=\"89241600\", alpha=\"0.01\", expect_size=\"26772480\"] \n  2 -> 3 [size =\"26772480\"]\n  3 [size=\"128092160\", alpha=\"0.03\", expect_size=\"38427648\"] \n  3 -> 4 [size =\"38427648\"]\n  3 -> 5 [size =\"38427648\"]\n  4 [size=\"167867733\", alpha=\"0.18\", expect_size=\"50360320\"] \n  4 -> 6 [size =\"50360320\"]\n  5 [size=\"31969280\", alpha=\"0.18\", expect_size=\"9590784\"] \n  6 [size=\"149917013\", alpha=\"0.14\", expect_size=\"44975104\"] \n  6 -> 7 [size =\"44975104\"]\n  7 [size=\"20322987\", alpha=\"0.01\", expect_size=\"6096896\"] \n  7 -> 8 [size =\"6096896\"]\n  8 [size=\"128174080\", alpha=\"0.07\", expect_size=\"38452224\"] \n  8 -> 9 [size =\"38452224\"]\n  8 -> 10 [size =\"38452224\"]\n  9 [size=\"51858773\", alpha=\"0.01\", expect_size=\"15557632\"] \n  10 [size=\"53381120\", alpha=\"0.12\", expect_size=\"16014336\"] \n  10 -> 11 [size =\"16014336\"]\n  10 -> 12 [size =\"16014336\"]\n  11 [size=\"43137707\", alpha=\"0.17\", expect_size=\"12941312\"] \n  11 -> 13 [size =\"12941312\"]\n  12 [size=\"20343467\", alpha=\"0.20\", expect_size=\"6103040\"] \n  12 -> 13 [size =\"6103040\"]\n  13 [size=\"26699093\", alpha=\"0.19\", expect_size=\"8009728\"] \n  13 -> 14 [size =\"8009728\"]\n  13 -> 15 [size =\"8009728\"]\n  14 [size=\"48513707\", alpha=\"0.14\", expect_size=\"14554112\"] \n  15 [size=\"35495253\", alpha=\"0.07\", expect_size=\"10648576\"] \n  15 -> 16 [size =\"10648576\"]\n  15 -> 17 [size =\"10648576\"]\n  16 [size=\"23538347\", alpha=\"0.03\", expect_size=\"7061504\"] \n  16 -> 18 [size =\"7061504\"]\n  17 [size=\"137321813\", alpha=\"0.00\", expect_size=\"41196544\"] \n  17 -> 19 [size =\"41196544\"]\n  18 [size=\"143196160\", alpha=\"0.17\", expect_size=\"42958848\"] \n  18 -> 20 [size =\"42958848\"]\n  19 [size=\"40123733\", alpha=\"0.08\", expect_size=\"12037120\"] \n  20 [size=\"49489920\", alpha=\"0.05\", expect_size=\"14846976\"] \n  20 -> 21 [size =\"14846976\"]\n  21 [size=\"146759680\", alpha=\"0.20\", expect_size=\"44027904\"] \n  21 -> 22 [size =\"44027904\"]\n  21 -> 23 [size =\"44027904\"]\n  22 [size=\"123371520\", alpha=\"0.03\", expect_size=\"37011456\"] \n  22 -> 25 [size =\"37011456\"]\n  23 [size=\"121589760\", alpha=\"0.01\", expect_size=\"36476928\"] \n  23 -> 24 [size =\"36476928\"]\n  23 -> 25 [size =\"36476928\"]\n  24 [size=\"111421440\", alpha=\"0.18\", expect_size=\"33426432\"] \n  25 [size=\"65826133\", alpha=\"0.16\", expect_size=\"19747840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104855040\", alpha=\"0.03\", expect_size=\"41942016\"] \n  1 -> 2 [size =\"41942016\"]\n  1 -> 3 [size =\"41942016\"]\n  2 [size=\"25684480\", alpha=\"0.12\", expect_size=\"10273792\"] \n  2 -> 5 [size =\"10273792\"]\n  3 [size=\"61760000\", alpha=\"0.06\", expect_size=\"24704000\"] \n  3 -> 4 [size =\"24704000\"]\n  3 -> 5 [size =\"24704000\"]\n  4 [size=\"45527040\", alpha=\"0.13\", expect_size=\"18210816\"] \n  4 -> 6 [size =\"18210816\"]\n  5 [size=\"100574720\", alpha=\"0.11\", expect_size=\"40229888\"] \n  5 -> 6 [size =\"40229888\"]\n  6 [size=\"19919360\", alpha=\"0.16\", expect_size=\"7967744\"] \n  6 -> 7 [size =\"7967744\"]\n  7 [size=\"68021760\", alpha=\"0.05\", expect_size=\"27208704\"] \n  7 -> 8 [size =\"27208704\"]\n  8 [size=\"89753600\", alpha=\"0.05\", expect_size=\"35901440\"] \n  8 -> 9 [size =\"35901440\"]\n  9 [size=\"67622400\", alpha=\"0.16\", expect_size=\"27048960\"] \n  9 -> 10 [size =\"27048960\"]\n  9 -> 11 [size =\"27048960\"]\n  10 [size=\"50429440\", alpha=\"0.01\", expect_size=\"20171776\"] \n  10 -> 12 [size =\"20171776\"]\n  11 [size=\"19955200\", alpha=\"0.07\", expect_size=\"7982080\"] \n  12 [size=\"37534720\", alpha=\"0.01\", expect_size=\"15013888\"] \n  12 -> 13 [size =\"15013888\"]\n  13 [size=\"108067840\", alpha=\"0.04\", expect_size=\"43227136\"] \n  13 -> 14 [size =\"43227136\"]\n  14 [size=\"26442240\", alpha=\"0.19\", expect_size=\"10576896\"] \n  14 -> 15 [size =\"10576896\"]\n  15 [size=\"103761920\", alpha=\"0.05\", expect_size=\"41504768\"] \n  15 -> 16 [size =\"41504768\"]\n  15 -> 17 [size =\"41504768\"]\n  16 [size=\"51804160\", alpha=\"0.18\", expect_size=\"20721664\"] \n  17 [size=\"29893120\", alpha=\"0.02\", expect_size=\"11957248\"] \n  17 -> 18 [size =\"11957248\"]\n  18 [size=\"57187840\", alpha=\"0.13\", expect_size=\"22875136\"] \n  18 -> 19 [size =\"22875136\"]\n  18 -> 20 [size =\"22875136\"]\n  19 [size=\"88862720\", alpha=\"0.10\", expect_size=\"35545088\"] \n  19 -> 21 [size =\"35545088\"]\n  20 [size=\"66280960\", alpha=\"0.12\", expect_size=\"26512384\"] \n  20 -> 21 [size =\"26512384\"]\n  20 -> 22 [size =\"26512384\"]\n  21 [size=\"74237440\", alpha=\"0.09\", expect_size=\"29694976\"] \n  21 -> 23 [size =\"29694976\"]\n  22 [size=\"115087360\", alpha=\"0.09\", expect_size=\"46034944\"] \n  23 [size=\"118763520\", alpha=\"0.17\", expect_size=\"47505408\"] \n  23 -> 24 [size =\"47505408\"]\n  24 [size=\"26805760\", alpha=\"0.11\", expect_size=\"10722304\"] \n  24 -> 25 [size =\"10722304\"]\n  25 [size=\"23592960\", alpha=\"0.19\", expect_size=\"9437184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51193856\", alpha=\"0.17\", expect_size=\"25596928\"] \n  1 -> 11 [size =\"25596928\"]\n  2 [size=\"32835584\", alpha=\"0.02\", expect_size=\"16417792\"] \n  2 -> 9 [size =\"16417792\"]\n  2 -> 14 [size =\"16417792\"]\n  3 [size=\"37488640\", alpha=\"0.19\", expect_size=\"18744320\"] \n  3 -> 9 [size =\"18744320\"]\n  3 -> 11 [size =\"18744320\"]\n  3 -> 13 [size =\"18744320\"]\n  4 [size=\"64827392\", alpha=\"0.07\", expect_size=\"32413696\"] \n  4 -> 12 [size =\"32413696\"]\n  4 -> 13 [size =\"32413696\"]\n  4 -> 13 [size =\"32413696\"]\n  5 [size=\"103340032\", alpha=\"0.11\", expect_size=\"51670016\"] \n  5 -> 9 [size =\"51670016\"]\n  5 -> 10 [size =\"51670016\"]\n  5 -> 12 [size =\"51670016\"]\n  5 -> 13 [size =\"51670016\"]\n  6 [size=\"56604672\", alpha=\"0.15\", expect_size=\"28302336\"] \n  6 -> 9 [size =\"28302336\"]\n  6 -> 10 [size =\"28302336\"]\n  6 -> 11 [size =\"28302336\"]\n  6 -> 12 [size =\"28302336\"]\n  6 -> 13 [size =\"28302336\"]\n  7 [size=\"74743808\", alpha=\"0.14\", expect_size=\"37371904\"] \n  7 -> 9 [size =\"37371904\"]\n  7 -> 10 [size =\"37371904\"]\n  7 -> 12 [size =\"37371904\"]\n  7 -> 13 [size =\"37371904\"]\n  8 [size=\"34334720\", alpha=\"0.03\", expect_size=\"17167360\"] \n  8 -> 9 [size =\"17167360\"]\n  8 -> 11 [size =\"17167360\"]\n  9 [size=\"80695296\", alpha=\"0.03\", expect_size=\"40347648\"] \n  9 -> 16 [size =\"40347648\"]\n  9 -> 18 [size =\"40347648\"]\n  9 -> 19 [size =\"40347648\"]\n  9 -> 23 [size =\"40347648\"]\n  9 -> 24 [size =\"40347648\"]\n  10 [size=\"47108096\", alpha=\"0.04\", expect_size=\"23554048\"] \n  10 -> 15 [size =\"23554048\"]\n  10 -> 16 [size =\"23554048\"]\n  10 -> 19 [size =\"23554048\"]\n  10 -> 22 [size =\"23554048\"]\n  10 -> 24 [size =\"23554048\"]\n  11 [size=\"38877184\", alpha=\"0.03\", expect_size=\"19438592\"] \n  11 -> 18 [size =\"19438592\"]\n  11 -> 21 [size =\"19438592\"]\n  11 -> 22 [size =\"19438592\"]\n  11 -> 23 [size =\"19438592\"]\n  12 [size=\"23160832\", alpha=\"0.02\", expect_size=\"11580416\"] \n  12 -> 17 [size =\"11580416\"]\n  12 -> 18 [size =\"11580416\"]\n  12 -> 20 [size =\"11580416\"]\n  12 -> 22 [size =\"11580416\"]\n  12 -> 24 [size =\"11580416\"]\n  12 -> 25 [size =\"11580416\"]\n  13 [size=\"32600064\", alpha=\"0.07\", expect_size=\"16300032\"] \n  13 -> 17 [size =\"16300032\"]\n  13 -> 20 [size =\"16300032\"]\n  13 -> 23 [size =\"16300032\"]\n  13 -> 24 [size =\"16300032\"]\n  14 [size=\"26140672\", alpha=\"0.04\", expect_size=\"13070336\"] \n  14 -> 15 [size =\"13070336\"]\n  14 -> 20 [size =\"13070336\"]\n  14 -> 22 [size =\"13070336\"]\n  14 -> 23 [size =\"13070336\"]\n  15 [size=\"57161728\", alpha=\"0.17\", expect_size=\"28580864\"] \n  16 [size=\"16582656\", alpha=\"0.01\", expect_size=\"8291328\"] \n  17 [size=\"85360640\", alpha=\"0.14\", expect_size=\"42680320\"] \n  18 [size=\"54933504\", alpha=\"0.04\", expect_size=\"27466752\"] \n  19 [size=\"68059136\", alpha=\"0.05\", expect_size=\"34029568\"] \n  20 [size=\"81477632\", alpha=\"0.14\", expect_size=\"40738816\"] \n  21 [size=\"98416640\", alpha=\"0.12\", expect_size=\"49208320\"] \n  22 [size=\"19105792\", alpha=\"0.14\", expect_size=\"9552896\"] \n  23 [size=\"29120512\", alpha=\"0.03\", expect_size=\"14560256\"] \n  24 [size=\"61702144\", alpha=\"0.02\", expect_size=\"30851072\"] \n  25 [size=\"82536448\", alpha=\"0.02\", expect_size=\"41268224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24962560\", alpha=\"0.05\", expect_size=\"9985024\"] \n  1 -> 2 [size =\"9985024\"]\n  1 -> 3 [size =\"9985024\"]\n  2 [size=\"14361600\", alpha=\"0.01\", expect_size=\"5744640\"] \n  2 -> 4 [size =\"5744640\"]\n  3 [size=\"56576000\", alpha=\"0.04\", expect_size=\"22630400\"] \n  3 -> 4 [size =\"22630400\"]\n  4 [size=\"66905600\", alpha=\"0.08\", expect_size=\"26762240\"] \n  4 -> 5 [size =\"26762240\"]\n  5 [size=\"88335360\", alpha=\"0.08\", expect_size=\"35334144\"] \n  5 -> 6 [size =\"35334144\"]\n  6 [size=\"23959040\", alpha=\"0.12\", expect_size=\"9583616\"] \n  6 -> 7 [size =\"9583616\"]\n  7 [size=\"38940160\", alpha=\"0.02\", expect_size=\"15576064\"] \n  7 -> 8 [size =\"15576064\"]\n  8 [size=\"80232960\", alpha=\"0.19\", expect_size=\"32093184\"] \n  8 -> 9 [size =\"32093184\"]\n  9 [size=\"93291520\", alpha=\"0.20\", expect_size=\"37316608\"] \n  9 -> 10 [size =\"37316608\"]\n  9 -> 11 [size =\"37316608\"]\n  10 [size=\"124938240\", alpha=\"0.05\", expect_size=\"49975296\"] \n  11 [size=\"21347840\", alpha=\"0.14\", expect_size=\"8539136\"] \n  11 -> 12 [size =\"8539136\"]\n  12 [size=\"50849280\", alpha=\"0.02\", expect_size=\"20339712\"] \n  12 -> 13 [size =\"20339712\"]\n  12 -> 14 [size =\"20339712\"]\n  13 [size=\"56563200\", alpha=\"0.04\", expect_size=\"22625280\"] \n  13 -> 15 [size =\"22625280\"]\n  14 [size=\"78845440\", alpha=\"0.12\", expect_size=\"31538176\"] \n  14 -> 16 [size =\"31538176\"]\n  15 [size=\"123166720\", alpha=\"0.16\", expect_size=\"49266688\"] \n  16 [size=\"50416640\", alpha=\"0.06\", expect_size=\"20166656\"] \n  16 -> 17 [size =\"20166656\"]\n  17 [size=\"118563840\", alpha=\"0.19\", expect_size=\"47425536\"] \n  17 -> 18 [size =\"47425536\"]\n  17 -> 19 [size =\"47425536\"]\n  18 [size=\"130803200\", alpha=\"0.07\", expect_size=\"52321280\"] \n  19 [size=\"126389760\", alpha=\"0.15\", expect_size=\"50555904\"] \n  19 -> 20 [size =\"50555904\"]\n  20 [size=\"124474880\", alpha=\"0.15\", expect_size=\"49789952\"] \n  20 -> 21 [size =\"49789952\"]\n  21 [size=\"38248960\", alpha=\"0.17\", expect_size=\"15299584\"] \n  21 -> 22 [size =\"15299584\"]\n  21 -> 23 [size =\"15299584\"]\n  22 [size=\"119720960\", alpha=\"0.20\", expect_size=\"47888384\"] \n  22 -> 24 [size =\"47888384\"]\n  23 [size=\"15429120\", alpha=\"0.09\", expect_size=\"6171648\"] \n  24 [size=\"41740800\", alpha=\"0.08\", expect_size=\"16696320\"] \n  24 -> 25 [size =\"16696320\"]\n  25 [size=\"112701440\", alpha=\"0.20\", expect_size=\"45080576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88696320\", alpha=\"0.17\", expect_size=\"35478528\"] \n  1 -> 7 [size =\"35478528\"]\n  2 [size=\"94110720\", alpha=\"0.01\", expect_size=\"37644288\"] \n  2 -> 6 [size =\"37644288\"]\n  2 -> 7 [size =\"37644288\"]\n  3 [size=\"14141440\", alpha=\"0.20\", expect_size=\"5656576\"] \n  3 -> 6 [size =\"5656576\"]\n  4 [size=\"50682880\", alpha=\"0.09\", expect_size=\"20273152\"] \n  4 -> 5 [size =\"20273152\"]\n  4 -> 6 [size =\"20273152\"]\n  5 [size=\"80501760\", alpha=\"0.18\", expect_size=\"32200704\"] \n  5 -> 8 [size =\"32200704\"]\n  5 -> 9 [size =\"32200704\"]\n  5 -> 10 [size =\"32200704\"]\n  6 [size=\"92477440\", alpha=\"0.17\", expect_size=\"36990976\"] \n  6 -> 8 [size =\"36990976\"]\n  6 -> 9 [size =\"36990976\"]\n  6 -> 10 [size =\"36990976\"]\n  7 [size=\"16926720\", alpha=\"0.03\", expect_size=\"6770688\"] \n  7 -> 10 [size =\"6770688\"]\n  8 [size=\"14556160\", alpha=\"0.01\", expect_size=\"5822464\"] \n  8 -> 13 [size =\"5822464\"]\n  9 [size=\"33354240\", alpha=\"0.03\", expect_size=\"13341696\"] \n  9 -> 11 [size =\"13341696\"]\n  9 -> 12 [size =\"13341696\"]\n  9 -> 13 [size =\"13341696\"]\n  10 [size=\"111055360\", alpha=\"0.10\", expect_size=\"44422144\"] \n  10 -> 11 [size =\"44422144\"]\n  10 -> 13 [size =\"44422144\"]\n  11 [size=\"18037760\", alpha=\"0.11\", expect_size=\"7215104\"] \n  11 -> 14 [size =\"7215104\"]\n  11 -> 15 [size =\"7215104\"]\n  11 -> 16 [size =\"7215104\"]\n  11 -> 17 [size =\"7215104\"]\n  12 [size=\"116331520\", alpha=\"0.19\", expect_size=\"46532608\"] \n  12 -> 14 [size =\"46532608\"]\n  12 -> 16 [size =\"46532608\"]\n  12 -> 16 [size =\"46532608\"]\n  12 -> 17 [size =\"46532608\"]\n  13 [size=\"123256320\", alpha=\"0.03\", expect_size=\"49302528\"] \n  13 -> 14 [size =\"49302528\"]\n  13 -> 15 [size =\"49302528\"]\n  14 [size=\"121077760\", alpha=\"0.13\", expect_size=\"48431104\"] \n  14 -> 20 [size =\"48431104\"]\n  15 [size=\"53578240\", alpha=\"0.11\", expect_size=\"21431296\"] \n  15 -> 20 [size =\"21431296\"]\n  15 -> 21 [size =\"21431296\"]\n  16 [size=\"44290560\", alpha=\"0.01\", expect_size=\"17716224\"] \n  16 -> 18 [size =\"17716224\"]\n  16 -> 19 [size =\"17716224\"]\n  16 -> 21 [size =\"17716224\"]\n  17 [size=\"24701440\", alpha=\"0.03\", expect_size=\"9880576\"] \n  17 -> 18 [size =\"9880576\"]\n  17 -> 20 [size =\"9880576\"]\n  17 -> 21 [size =\"9880576\"]\n  18 [size=\"42424320\", alpha=\"0.06\", expect_size=\"16969728\"] \n  18 -> 22 [size =\"16969728\"]\n  18 -> 23 [size =\"16969728\"]\n  19 [size=\"48506880\", alpha=\"0.10\", expect_size=\"19402752\"] \n  19 -> 22 [size =\"19402752\"]\n  19 -> 24 [size =\"19402752\"]\n  20 [size=\"66168320\", alpha=\"0.08\", expect_size=\"26467328\"] \n  20 -> 22 [size =\"26467328\"]\n  21 [size=\"125544960\", alpha=\"0.19\", expect_size=\"50217984\"] \n  21 -> 22 [size =\"50217984\"]\n  22 [size=\"69908480\", alpha=\"0.03\", expect_size=\"27963392\"] \n  23 [size=\"63846400\", alpha=\"0.07\", expect_size=\"25538560\"] \n  23 -> 25 [size =\"25538560\"]\n  24 [size=\"80903680\", alpha=\"0.18\", expect_size=\"32361472\"] \n  25 [size=\"41164800\", alpha=\"0.00\", expect_size=\"16465920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106997760\", alpha=\"0.04\", expect_size=\"42799104\"] \n  1 -> 6 [size =\"42799104\"]\n  1 -> 7 [size =\"42799104\"]\n  1 -> 8 [size =\"42799104\"]\n  1 -> 9 [size =\"42799104\"]\n  2 [size=\"53847040\", alpha=\"0.04\", expect_size=\"21538816\"] \n  2 -> 5 [size =\"21538816\"]\n  2 -> 7 [size =\"21538816\"]\n  3 [size=\"31262720\", alpha=\"0.12\", expect_size=\"12505088\"] \n  3 -> 7 [size =\"12505088\"]\n  4 [size=\"111562240\", alpha=\"0.18\", expect_size=\"44624896\"] \n  4 -> 5 [size =\"44624896\"]\n  5 [size=\"100293120\", alpha=\"0.19\", expect_size=\"40117248\"] \n  5 -> 10 [size =\"40117248\"]\n  5 -> 11 [size =\"40117248\"]\n  5 -> 12 [size =\"40117248\"]\n  5 -> 13 [size =\"40117248\"]\n  6 [size=\"108869120\", alpha=\"0.09\", expect_size=\"43547648\"] \n  7 [size=\"104417280\", alpha=\"0.09\", expect_size=\"41766912\"] \n  7 -> 11 [size =\"41766912\"]\n  7 -> 12 [size =\"41766912\"]\n  8 [size=\"108976640\", alpha=\"0.17\", expect_size=\"43590656\"] \n  9 [size=\"63326720\", alpha=\"0.11\", expect_size=\"25330688\"] \n  9 -> 11 [size =\"25330688\"]\n  9 -> 12 [size =\"25330688\"]\n  9 -> 13 [size =\"25330688\"]\n  10 [size=\"90721280\", alpha=\"0.02\", expect_size=\"36288512\"] \n  10 -> 15 [size =\"36288512\"]\n  11 [size=\"39784960\", alpha=\"0.17\", expect_size=\"15913984\"] \n  11 -> 14 [size =\"15913984\"]\n  12 [size=\"61662720\", alpha=\"0.07\", expect_size=\"24665088\"] \n  12 -> 14 [size =\"24665088\"]\n  12 -> 15 [size =\"24665088\"]\n  13 [size=\"86686720\", alpha=\"0.07\", expect_size=\"34674688\"] \n  14 [size=\"39787520\", alpha=\"0.14\", expect_size=\"15915008\"] \n  14 -> 16 [size =\"15915008\"]\n  14 -> 17 [size =\"15915008\"]\n  15 [size=\"26782720\", alpha=\"0.08\", expect_size=\"10713088\"] \n  15 -> 16 [size =\"10713088\"]\n  15 -> 18 [size =\"10713088\"]\n  15 -> 19 [size =\"10713088\"]\n  16 [size=\"22213120\", alpha=\"0.06\", expect_size=\"8885248\"] \n  16 -> 22 [size =\"8885248\"]\n  16 -> 23 [size =\"8885248\"]\n  17 [size=\"76485120\", alpha=\"0.04\", expect_size=\"30594048\"] \n  17 -> 23 [size =\"30594048\"]\n  18 [size=\"13120000\", alpha=\"0.07\", expect_size=\"5248000\"] \n  18 -> 20 [size =\"5248000\"]\n  18 -> 21 [size =\"5248000\"]\n  19 [size=\"111037440\", alpha=\"0.09\", expect_size=\"44414976\"] \n  20 [size=\"57477120\", alpha=\"0.01\", expect_size=\"22990848\"] \n  21 [size=\"71733760\", alpha=\"0.10\", expect_size=\"28693504\"] \n  22 [size=\"55856640\", alpha=\"0.05\", expect_size=\"22342656\"] \n  22 -> 24 [size =\"22342656\"]\n  22 -> 25 [size =\"22342656\"]\n  23 [size=\"99207680\", alpha=\"0.03\", expect_size=\"39683072\"] \n  24 [size=\"22502400\", alpha=\"0.18\", expect_size=\"9000960\"] \n  25 [size=\"103370240\", alpha=\"0.08\", expect_size=\"41348096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38574080\", alpha=\"0.07\", expect_size=\"19287040\"] \n  1 -> 6 [size =\"19287040\"]\n  1 -> 8 [size =\"19287040\"]\n  1 -> 10 [size =\"19287040\"]\n  2 [size=\"91985920\", alpha=\"0.07\", expect_size=\"45992960\"] \n  2 -> 6 [size =\"45992960\"]\n  2 -> 8 [size =\"45992960\"]\n  2 -> 10 [size =\"45992960\"]\n  3 [size=\"12871680\", alpha=\"0.20\", expect_size=\"6435840\"] \n  3 -> 6 [size =\"6435840\"]\n  3 -> 7 [size =\"6435840\"]\n  3 -> 8 [size =\"6435840\"]\n  4 [size=\"13721600\", alpha=\"0.08\", expect_size=\"6860800\"] \n  4 -> 9 [size =\"6860800\"]\n  5 [size=\"37982208\", alpha=\"0.17\", expect_size=\"18991104\"] \n  5 -> 8 [size =\"18991104\"]\n  5 -> 9 [size =\"18991104\"]\n  5 -> 10 [size =\"18991104\"]\n  6 [size=\"18786304\", alpha=\"0.03\", expect_size=\"9393152\"] \n  6 -> 11 [size =\"9393152\"]\n  6 -> 12 [size =\"9393152\"]\n  6 -> 14 [size =\"9393152\"]\n  6 -> 15 [size =\"9393152\"]\n  7 [size=\"99303424\", alpha=\"0.18\", expect_size=\"49651712\"] \n  7 -> 12 [size =\"49651712\"]\n  7 -> 13 [size =\"49651712\"]\n  7 -> 14 [size =\"49651712\"]\n  8 [size=\"93540352\", alpha=\"0.06\", expect_size=\"46770176\"] \n  8 -> 11 [size =\"46770176\"]\n  8 -> 13 [size =\"46770176\"]\n  8 -> 15 [size =\"46770176\"]\n  9 [size=\"19312640\", alpha=\"0.02\", expect_size=\"9656320\"] \n  9 -> 13 [size =\"9656320\"]\n  10 [size=\"97392640\", alpha=\"0.20\", expect_size=\"48696320\"] \n  10 -> 11 [size =\"48696320\"]\n  10 -> 12 [size =\"48696320\"]\n  10 -> 14 [size =\"48696320\"]\n  10 -> 15 [size =\"48696320\"]\n  11 [size=\"99649536\", alpha=\"0.08\", expect_size=\"49824768\"] \n  11 -> 16 [size =\"49824768\"]\n  11 -> 17 [size =\"49824768\"]\n  11 -> 18 [size =\"49824768\"]\n  12 [size=\"39665664\", alpha=\"0.15\", expect_size=\"19832832\"] \n  12 -> 17 [size =\"19832832\"]\n  13 [size=\"71421952\", alpha=\"0.01\", expect_size=\"35710976\"] \n  13 -> 18 [size =\"35710976\"]\n  14 [size=\"69361664\", alpha=\"0.15\", expect_size=\"34680832\"] \n  14 -> 17 [size =\"34680832\"]\n  15 [size=\"10805248\", alpha=\"0.16\", expect_size=\"5402624\"] \n  16 [size=\"92512256\", alpha=\"0.01\", expect_size=\"46256128\"] \n  16 -> 19 [size =\"46256128\"]\n  16 -> 23 [size =\"46256128\"]\n  17 [size=\"13584384\", alpha=\"0.16\", expect_size=\"6792192\"] \n  17 -> 19 [size =\"6792192\"]\n  17 -> 21 [size =\"6792192\"]\n  17 -> 22 [size =\"6792192\"]\n  18 [size=\"96571392\", alpha=\"0.07\", expect_size=\"48285696\"] \n  18 -> 20 [size =\"48285696\"]\n  19 [size=\"28377088\", alpha=\"0.14\", expect_size=\"14188544\"] \n  19 -> 24 [size =\"14188544\"]\n  20 [size=\"36978688\", alpha=\"0.09\", expect_size=\"18489344\"] \n  20 -> 25 [size =\"18489344\"]\n  21 [size=\"35883008\", alpha=\"0.09\", expect_size=\"17941504\"] \n  21 -> 24 [size =\"17941504\"]\n  22 [size=\"72001536\", alpha=\"0.07\", expect_size=\"36000768\"] \n  22 -> 24 [size =\"36000768\"]\n  22 -> 25 [size =\"36000768\"]\n  23 [size=\"49065984\", alpha=\"0.06\", expect_size=\"24532992\"] \n  23 -> 24 [size =\"24532992\"]\n  24 [size=\"51544064\", alpha=\"0.05\", expect_size=\"25772032\"] \n  25 [size=\"26830848\", alpha=\"0.10\", expect_size=\"13415424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129000960\", alpha=\"0.01\", expect_size=\"51600384\"] \n  1 -> 3 [size =\"51600384\"]\n  2 [size=\"59215360\", alpha=\"0.16\", expect_size=\"23686144\"] \n  2 -> 4 [size =\"23686144\"]\n  2 -> 5 [size =\"23686144\"]\n  3 [size=\"115747840\", alpha=\"0.19\", expect_size=\"46299136\"] \n  3 -> 6 [size =\"46299136\"]\n  3 -> 7 [size =\"46299136\"]\n  3 -> 9 [size =\"46299136\"]\n  4 [size=\"80563200\", alpha=\"0.13\", expect_size=\"32225280\"] \n  4 -> 8 [size =\"32225280\"]\n  4 -> 10 [size =\"32225280\"]\n  5 [size=\"119185920\", alpha=\"0.04\", expect_size=\"47674368\"] \n  6 [size=\"29404160\", alpha=\"0.18\", expect_size=\"11761664\"] \n  7 [size=\"96752640\", alpha=\"0.15\", expect_size=\"38701056\"] \n  7 -> 11 [size =\"38701056\"]\n  8 [size=\"96120320\", alpha=\"0.16\", expect_size=\"38448128\"] \n  9 [size=\"102018560\", alpha=\"0.15\", expect_size=\"40807424\"] \n  9 -> 12 [size =\"40807424\"]\n  10 [size=\"103984640\", alpha=\"0.14\", expect_size=\"41593856\"] \n  10 -> 12 [size =\"41593856\"]\n  11 [size=\"47006720\", alpha=\"0.04\", expect_size=\"18802688\"] \n  11 -> 13 [size =\"18802688\"]\n  11 -> 16 [size =\"18802688\"]\n  12 [size=\"50501120\", alpha=\"0.17\", expect_size=\"20200448\"] \n  12 -> 14 [size =\"20200448\"]\n  12 -> 15 [size =\"20200448\"]\n  13 [size=\"29713920\", alpha=\"0.16\", expect_size=\"11885568\"] \n  13 -> 17 [size =\"11885568\"]\n  13 -> 18 [size =\"11885568\"]\n  13 -> 19 [size =\"11885568\"]\n  13 -> 21 [size =\"11885568\"]\n  14 [size=\"23639040\", alpha=\"0.14\", expect_size=\"9455616\"] \n  15 [size=\"102873600\", alpha=\"0.04\", expect_size=\"41149440\"] \n  15 -> 17 [size =\"41149440\"]\n  15 -> 18 [size =\"41149440\"]\n  15 -> 19 [size =\"41149440\"]\n  15 -> 20 [size =\"41149440\"]\n  16 [size=\"125171200\", alpha=\"0.12\", expect_size=\"50068480\"] \n  17 [size=\"112358400\", alpha=\"0.18\", expect_size=\"44943360\"] \n  17 -> 22 [size =\"44943360\"]\n  17 -> 24 [size =\"44943360\"]\n  18 [size=\"84075520\", alpha=\"0.16\", expect_size=\"33630208\"] \n  19 [size=\"61959680\", alpha=\"0.16\", expect_size=\"24783872\"] \n  19 -> 23 [size =\"24783872\"]\n  19 -> 25 [size =\"24783872\"]\n  20 [size=\"31580160\", alpha=\"0.12\", expect_size=\"12632064\"] \n  20 -> 22 [size =\"12632064\"]\n  21 [size=\"114734080\", alpha=\"0.08\", expect_size=\"45893632\"] \n  21 -> 22 [size =\"45893632\"]\n  22 [size=\"17605120\", alpha=\"0.11\", expect_size=\"7042048\"] \n  23 [size=\"115840000\", alpha=\"0.12\", expect_size=\"46336000\"] \n  24 [size=\"90979840\", alpha=\"0.04\", expect_size=\"36391936\"] \n  25 [size=\"54617600\", alpha=\"0.15\", expect_size=\"21847040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87589547\", alpha=\"0.05\", expect_size=\"26276864\"] \n  1 -> 2 [size =\"26276864\"]\n  1 -> 3 [size =\"26276864\"]\n  2 [size=\"122221227\", alpha=\"0.11\", expect_size=\"36666368\"] \n  2 -> 4 [size =\"36666368\"]\n  3 [size=\"42745173\", alpha=\"0.04\", expect_size=\"12823552\"] \n  4 [size=\"132768427\", alpha=\"0.08\", expect_size=\"39830528\"] \n  4 -> 5 [size =\"39830528\"]\n  4 -> 6 [size =\"39830528\"]\n  5 [size=\"103956480\", alpha=\"0.14\", expect_size=\"31186944\"] \n  5 -> 7 [size =\"31186944\"]\n  6 [size=\"99075413\", alpha=\"0.07\", expect_size=\"29722624\"] \n  6 -> 8 [size =\"29722624\"]\n  7 [size=\"41956693\", alpha=\"0.12\", expect_size=\"12587008\"] \n  7 -> 9 [size =\"12587008\"]\n  8 [size=\"132969813\", alpha=\"0.06\", expect_size=\"39890944\"] \n  9 [size=\"119944533\", alpha=\"0.09\", expect_size=\"35983360\"] \n  9 -> 10 [size =\"35983360\"]\n  10 [size=\"117200213\", alpha=\"0.17\", expect_size=\"35160064\"] \n  10 -> 11 [size =\"35160064\"]\n  10 -> 12 [size =\"35160064\"]\n  11 [size=\"108683947\", alpha=\"0.08\", expect_size=\"32605184\"] \n  12 [size=\"145814187\", alpha=\"0.04\", expect_size=\"43744256\"] \n  12 -> 13 [size =\"43744256\"]\n  13 [size=\"76581547\", alpha=\"0.12\", expect_size=\"22974464\"] \n  13 -> 14 [size =\"22974464\"]\n  13 -> 15 [size =\"22974464\"]\n  14 [size=\"106052267\", alpha=\"0.06\", expect_size=\"31815680\"] \n  14 -> 16 [size =\"31815680\"]\n  15 [size=\"170984107\", alpha=\"0.17\", expect_size=\"51295232\"] \n  15 -> 17 [size =\"51295232\"]\n  16 [size=\"121439573\", alpha=\"0.10\", expect_size=\"36431872\"] \n  16 -> 19 [size =\"36431872\"]\n  17 [size=\"18967893\", alpha=\"0.10\", expect_size=\"5690368\"] \n  17 -> 18 [size =\"5690368\"]\n  18 [size=\"112653653\", alpha=\"0.13\", expect_size=\"33796096\"] \n  18 -> 20 [size =\"33796096\"]\n  19 [size=\"160552960\", alpha=\"0.15\", expect_size=\"48165888\"] \n  20 [size=\"72946347\", alpha=\"0.07\", expect_size=\"21883904\"] \n  20 -> 21 [size =\"21883904\"]\n  20 -> 22 [size =\"21883904\"]\n  21 [size=\"45496320\", alpha=\"0.07\", expect_size=\"13648896\"] \n  22 [size=\"108636160\", alpha=\"0.01\", expect_size=\"32590848\"] \n  22 -> 23 [size =\"32590848\"]\n  23 [size=\"143315627\", alpha=\"0.18\", expect_size=\"42994688\"] \n  23 -> 24 [size =\"42994688\"]\n  24 [size=\"79933440\", alpha=\"0.09\", expect_size=\"23980032\"] \n  24 -> 25 [size =\"23980032\"]\n  25 [size=\"123869867\", alpha=\"0.12\", expect_size=\"37160960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32355840\", alpha=\"0.07\", expect_size=\"12942336\"] \n  1 -> 7 [size =\"12942336\"]\n  1 -> 8 [size =\"12942336\"]\n  2 [size=\"122759680\", alpha=\"0.09\", expect_size=\"49103872\"] \n  2 -> 4 [size =\"49103872\"]\n  2 -> 5 [size =\"49103872\"]\n  2 -> 6 [size =\"49103872\"]\n  2 -> 7 [size =\"49103872\"]\n  3 [size=\"22330880\", alpha=\"0.16\", expect_size=\"8932352\"] \n  3 -> 5 [size =\"8932352\"]\n  3 -> 6 [size =\"8932352\"]\n  3 -> 8 [size =\"8932352\"]\n  4 [size=\"48445440\", alpha=\"0.09\", expect_size=\"19378176\"] \n  4 -> 9 [size =\"19378176\"]\n  5 [size=\"18810880\", alpha=\"0.18\", expect_size=\"7524352\"] \n  5 -> 9 [size =\"7524352\"]\n  5 -> 12 [size =\"7524352\"]\n  6 [size=\"125378560\", alpha=\"0.16\", expect_size=\"50151424\"] \n  6 -> 10 [size =\"50151424\"]\n  6 -> 12 [size =\"50151424\"]\n  7 [size=\"87352320\", alpha=\"0.01\", expect_size=\"34940928\"] \n  7 -> 11 [size =\"34940928\"]\n  7 -> 12 [size =\"34940928\"]\n  8 [size=\"81274880\", alpha=\"0.16\", expect_size=\"32509952\"] \n  8 -> 9 [size =\"32509952\"]\n  9 [size=\"20477440\", alpha=\"0.09\", expect_size=\"8190976\"] \n  9 -> 13 [size =\"8190976\"]\n  9 -> 15 [size =\"8190976\"]\n  10 [size=\"55697920\", alpha=\"0.16\", expect_size=\"22279168\"] \n  10 -> 13 [size =\"22279168\"]\n  10 -> 15 [size =\"22279168\"]\n  11 [size=\"110302720\", alpha=\"0.19\", expect_size=\"44121088\"] \n  11 -> 14 [size =\"44121088\"]\n  12 [size=\"36060160\", alpha=\"0.06\", expect_size=\"14424064\"] \n  12 -> 15 [size =\"14424064\"]\n  13 [size=\"87016960\", alpha=\"0.04\", expect_size=\"34806784\"] \n  13 -> 16 [size =\"34806784\"]\n  14 [size=\"62328320\", alpha=\"0.13\", expect_size=\"24931328\"] \n  14 -> 18 [size =\"24931328\"]\n  14 -> 19 [size =\"24931328\"]\n  15 [size=\"115325440\", alpha=\"0.09\", expect_size=\"46130176\"] \n  15 -> 17 [size =\"46130176\"]\n  15 -> 18 [size =\"46130176\"]\n  16 [size=\"104924160\", alpha=\"0.07\", expect_size=\"41969664\"] \n  16 -> 20 [size =\"41969664\"]\n  16 -> 21 [size =\"41969664\"]\n  17 [size=\"83330560\", alpha=\"0.20\", expect_size=\"33332224\"] \n  17 -> 20 [size =\"33332224\"]\n  18 [size=\"89338880\", alpha=\"0.03\", expect_size=\"35735552\"] \n  18 -> 20 [size =\"35735552\"]\n  18 -> 21 [size =\"35735552\"]\n  19 [size=\"64204800\", alpha=\"0.02\", expect_size=\"25681920\"] \n  19 -> 22 [size =\"25681920\"]\n  20 [size=\"114844160\", alpha=\"0.11\", expect_size=\"45937664\"] \n  20 -> 24 [size =\"45937664\"]\n  20 -> 25 [size =\"45937664\"]\n  21 [size=\"88537600\", alpha=\"0.03\", expect_size=\"35415040\"] \n  21 -> 23 [size =\"35415040\"]\n  21 -> 25 [size =\"35415040\"]\n  22 [size=\"85350400\", alpha=\"0.14\", expect_size=\"34140160\"] \n  22 -> 23 [size =\"34140160\"]\n  23 [size=\"118295040\", alpha=\"0.06\", expect_size=\"47318016\"] \n  24 [size=\"24532480\", alpha=\"0.04\", expect_size=\"9812992\"] \n  25 [size=\"103334400\", alpha=\"0.04\", expect_size=\"41333760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173274453\", alpha=\"0.07\", expect_size=\"51982336\"] \n  1 -> 2 [size =\"51982336\"]\n  2 [size=\"165451093\", alpha=\"0.17\", expect_size=\"49635328\"] \n  2 -> 3 [size =\"49635328\"]\n  2 -> 4 [size =\"49635328\"]\n  3 [size=\"116227413\", alpha=\"0.12\", expect_size=\"34868224\"] \n  4 [size=\"104243200\", alpha=\"0.05\", expect_size=\"31272960\"] \n  4 -> 5 [size =\"31272960\"]\n  5 [size=\"140325547\", alpha=\"0.09\", expect_size=\"42097664\"] \n  5 -> 6 [size =\"42097664\"]\n  5 -> 7 [size =\"42097664\"]\n  6 [size=\"158720000\", alpha=\"0.18\", expect_size=\"47616000\"] \n  7 [size=\"137946453\", alpha=\"0.02\", expect_size=\"41383936\"] \n  7 -> 8 [size =\"41383936\"]\n  7 -> 9 [size =\"41383936\"]\n  8 [size=\"99075413\", alpha=\"0.13\", expect_size=\"29722624\"] \n  9 [size=\"90927787\", alpha=\"0.17\", expect_size=\"27278336\"] \n  9 -> 10 [size =\"27278336\"]\n  10 [size=\"40861013\", alpha=\"0.02\", expect_size=\"12258304\"] \n  10 -> 11 [size =\"12258304\"]\n  10 -> 12 [size =\"12258304\"]\n  11 [size=\"66498560\", alpha=\"0.08\", expect_size=\"19949568\"] \n  12 [size=\"125115733\", alpha=\"0.09\", expect_size=\"37534720\"] \n  12 -> 13 [size =\"37534720\"]\n  13 [size=\"102864213\", alpha=\"0.15\", expect_size=\"30859264\"] \n  13 -> 14 [size =\"30859264\"]\n  13 -> 15 [size =\"30859264\"]\n  14 [size=\"38359040\", alpha=\"0.13\", expect_size=\"11507712\"] \n  14 -> 16 [size =\"11507712\"]\n  14 -> 17 [size =\"11507712\"]\n  15 [size=\"80145067\", alpha=\"0.14\", expect_size=\"24043520\"] \n  15 -> 16 [size =\"24043520\"]\n  15 -> 17 [size =\"24043520\"]\n  16 [size=\"153767253\", alpha=\"0.09\", expect_size=\"46130176\"] \n  17 [size=\"139311787\", alpha=\"0.01\", expect_size=\"41793536\"] \n  17 -> 18 [size =\"41793536\"]\n  18 [size=\"154187093\", alpha=\"0.18\", expect_size=\"46256128\"] \n  18 -> 19 [size =\"46256128\"]\n  19 [size=\"96993280\", alpha=\"0.18\", expect_size=\"29097984\"] \n  19 -> 20 [size =\"29097984\"]\n  19 -> 21 [size =\"29097984\"]\n  20 [size=\"77025280\", alpha=\"0.16\", expect_size=\"23107584\"] \n  20 -> 22 [size =\"23107584\"]\n  20 -> 23 [size =\"23107584\"]\n  21 [size=\"90477227\", alpha=\"0.14\", expect_size=\"27143168\"] \n  21 -> 22 [size =\"27143168\"]\n  22 [size=\"157187413\", alpha=\"0.11\", expect_size=\"47156224\"] \n  23 [size=\"70318080\", alpha=\"0.20\", expect_size=\"21095424\"] \n  23 -> 24 [size =\"21095424\"]\n  24 [size=\"27470507\", alpha=\"0.00\", expect_size=\"8241152\"] \n  24 -> 25 [size =\"8241152\"]\n  25 [size=\"133413547\", alpha=\"0.16\", expect_size=\"40024064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111680000\", alpha=\"0.10\", expect_size=\"44672000\"] \n  1 -> 7 [size =\"44672000\"]\n  2 [size=\"65113600\", alpha=\"0.09\", expect_size=\"26045440\"] \n  2 -> 5 [size =\"26045440\"]\n  2 -> 6 [size =\"26045440\"]\n  3 [size=\"56581120\", alpha=\"0.11\", expect_size=\"22632448\"] \n  3 -> 4 [size =\"22632448\"]\n  3 -> 5 [size =\"22632448\"]\n  4 [size=\"109158400\", alpha=\"0.04\", expect_size=\"43663360\"] \n  5 [size=\"49131520\", alpha=\"0.17\", expect_size=\"19652608\"] \n  5 -> 8 [size =\"19652608\"]\n  5 -> 9 [size =\"19652608\"]\n  6 [size=\"129502720\", alpha=\"0.20\", expect_size=\"51801088\"] \n  6 -> 8 [size =\"51801088\"]\n  6 -> 9 [size =\"51801088\"]\n  6 -> 10 [size =\"51801088\"]\n  7 [size=\"84385280\", alpha=\"0.05\", expect_size=\"33754112\"] \n  8 [size=\"113912320\", alpha=\"0.14\", expect_size=\"45564928\"] \n  8 -> 11 [size =\"45564928\"]\n  8 -> 14 [size =\"45564928\"]\n  9 [size=\"76508160\", alpha=\"0.05\", expect_size=\"30603264\"] \n  9 -> 12 [size =\"30603264\"]\n  9 -> 14 [size =\"30603264\"]\n  10 [size=\"22090240\", alpha=\"0.15\", expect_size=\"8836096\"] \n  10 -> 13 [size =\"8836096\"]\n  11 [size=\"108047360\", alpha=\"0.14\", expect_size=\"43218944\"] \n  11 -> 15 [size =\"43218944\"]\n  11 -> 16 [size =\"43218944\"]\n  12 [size=\"48627200\", alpha=\"0.09\", expect_size=\"19450880\"] \n  13 [size=\"100695040\", alpha=\"0.20\", expect_size=\"40278016\"] \n  13 -> 17 [size =\"40278016\"]\n  14 [size=\"50206720\", alpha=\"0.16\", expect_size=\"20082688\"] \n  14 -> 16 [size =\"20082688\"]\n  14 -> 18 [size =\"20082688\"]\n  15 [size=\"71792640\", alpha=\"0.17\", expect_size=\"28717056\"] \n  15 -> 20 [size =\"28717056\"]\n  16 [size=\"56921600\", alpha=\"0.15\", expect_size=\"22768640\"] \n  16 -> 19 [size =\"22768640\"]\n  17 [size=\"55498240\", alpha=\"0.04\", expect_size=\"22199296\"] \n  18 [size=\"82636800\", alpha=\"0.06\", expect_size=\"33054720\"] \n  18 -> 21 [size =\"33054720\"]\n  19 [size=\"50140160\", alpha=\"0.13\", expect_size=\"20056064\"] \n  19 -> 23 [size =\"20056064\"]\n  19 -> 24 [size =\"20056064\"]\n  20 [size=\"81433600\", alpha=\"0.09\", expect_size=\"32573440\"] \n  20 -> 22 [size =\"32573440\"]\n  20 -> 23 [size =\"32573440\"]\n  21 [size=\"52782080\", alpha=\"0.01\", expect_size=\"21112832\"] \n  21 -> 22 [size =\"21112832\"]\n  22 [size=\"20065280\", alpha=\"0.01\", expect_size=\"8026112\"] \n  23 [size=\"75089920\", alpha=\"0.10\", expect_size=\"30035968\"] \n  24 [size=\"72483840\", alpha=\"0.14\", expect_size=\"28993536\"] \n  24 -> 25 [size =\"28993536\"]\n  25 [size=\"46991360\", alpha=\"0.05\", expect_size=\"18796544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50923520\", alpha=\"0.07\", expect_size=\"25461760\"] \n  2 [size=\"28409856\", alpha=\"0.09\", expect_size=\"14204928\"] \n  2 -> 3 [size =\"14204928\"]\n  3 [size=\"24852480\", alpha=\"0.15\", expect_size=\"12426240\"] \n  3 -> 4 [size =\"12426240\"]\n  4 [size=\"46944256\", alpha=\"0.10\", expect_size=\"23472128\"] \n  4 -> 5 [size =\"23472128\"]\n  5 [size=\"87310336\", alpha=\"0.20\", expect_size=\"43655168\"] \n  5 -> 6 [size =\"43655168\"]\n  6 [size=\"42135552\", alpha=\"0.20\", expect_size=\"21067776\"] \n  6 -> 7 [size =\"21067776\"]\n  7 [size=\"76722176\", alpha=\"0.08\", expect_size=\"38361088\"] \n  7 -> 8 [size =\"38361088\"]\n  7 -> 9 [size =\"38361088\"]\n  8 [size=\"14016512\", alpha=\"0.04\", expect_size=\"7008256\"] \n  8 -> 11 [size =\"7008256\"]\n  9 [size=\"103276544\", alpha=\"0.15\", expect_size=\"51638272\"] \n  9 -> 10 [size =\"51638272\"]\n  10 [size=\"80988160\", alpha=\"0.05\", expect_size=\"40494080\"] \n  10 -> 12 [size =\"40494080\"]\n  11 [size=\"66914304\", alpha=\"0.04\", expect_size=\"33457152\"] \n  11 -> 13 [size =\"33457152\"]\n  12 [size=\"99172352\", alpha=\"0.04\", expect_size=\"49586176\"] \n  12 -> 14 [size =\"49586176\"]\n  12 -> 15 [size =\"49586176\"]\n  13 [size=\"47179776\", alpha=\"0.10\", expect_size=\"23589888\"] \n  14 [size=\"21489664\", alpha=\"0.09\", expect_size=\"10744832\"] \n  14 -> 16 [size =\"10744832\"]\n  15 [size=\"70795264\", alpha=\"0.07\", expect_size=\"35397632\"] \n  15 -> 17 [size =\"35397632\"]\n  16 [size=\"68976640\", alpha=\"0.19\", expect_size=\"34488320\"] \n  17 [size=\"67987456\", alpha=\"0.15\", expect_size=\"33993728\"] \n  17 -> 18 [size =\"33993728\"]\n  17 -> 19 [size =\"33993728\"]\n  18 [size=\"10977280\", alpha=\"0.06\", expect_size=\"5488640\"] \n  18 -> 20 [size =\"5488640\"]\n  18 -> 21 [size =\"5488640\"]\n  19 [size=\"31182848\", alpha=\"0.09\", expect_size=\"15591424\"] \n  20 [size=\"99948544\", alpha=\"0.03\", expect_size=\"49974272\"] \n  20 -> 22 [size =\"49974272\"]\n  21 [size=\"31311872\", alpha=\"0.05\", expect_size=\"15655936\"] \n  21 -> 23 [size =\"15655936\"]\n  22 [size=\"50823168\", alpha=\"0.11\", expect_size=\"25411584\"] \n  22 -> 24 [size =\"25411584\"]\n  22 -> 25 [size =\"25411584\"]\n  23 [size=\"70821888\", alpha=\"0.00\", expect_size=\"35410944\"] \n  24 [size=\"22650880\", alpha=\"0.17\", expect_size=\"11325440\"] \n  25 [size=\"63574016\", alpha=\"0.11\", expect_size=\"31787008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43235328\", alpha=\"0.19\", expect_size=\"21617664\"] \n  1 -> 9 [size =\"21617664\"]\n  1 -> 10 [size =\"21617664\"]\n  1 -> 12 [size =\"21617664\"]\n  1 -> 13 [size =\"21617664\"]\n  1 -> 13 [size =\"21617664\"]\n  2 [size=\"61007872\", alpha=\"0.09\", expect_size=\"30503936\"] \n  2 -> 8 [size =\"30503936\"]\n  2 -> 9 [size =\"30503936\"]\n  2 -> 10 [size =\"30503936\"]\n  2 -> 11 [size =\"30503936\"]\n  2 -> 13 [size =\"30503936\"]\n  3 [size=\"81899520\", alpha=\"0.18\", expect_size=\"40949760\"] \n  3 -> 7 [size =\"40949760\"]\n  3 -> 8 [size =\"40949760\"]\n  3 -> 10 [size =\"40949760\"]\n  4 [size=\"55574528\", alpha=\"0.08\", expect_size=\"27787264\"] \n  4 -> 8 [size =\"27787264\"]\n  4 -> 9 [size =\"27787264\"]\n  4 -> 10 [size =\"27787264\"]\n  4 -> 13 [size =\"27787264\"]\n  4 -> 14 [size =\"27787264\"]\n  5 [size=\"55879680\", alpha=\"0.08\", expect_size=\"27939840\"] \n  5 -> 7 [size =\"27939840\"]\n  5 -> 9 [size =\"27939840\"]\n  5 -> 10 [size =\"27939840\"]\n  5 -> 11 [size =\"27939840\"]\n  5 -> 12 [size =\"27939840\"]\n  6 [size=\"60542976\", alpha=\"0.06\", expect_size=\"30271488\"] \n  6 -> 7 [size =\"30271488\"]\n  6 -> 9 [size =\"30271488\"]\n  6 -> 11 [size =\"30271488\"]\n  6 -> 12 [size =\"30271488\"]\n  6 -> 13 [size =\"30271488\"]\n  7 [size=\"62906368\", alpha=\"0.14\", expect_size=\"31453184\"] \n  7 -> 19 [size =\"31453184\"]\n  7 -> 20 [size =\"31453184\"]\n  8 [size=\"99393536\", alpha=\"0.13\", expect_size=\"49696768\"] \n  8 -> 16 [size =\"49696768\"]\n  8 -> 18 [size =\"49696768\"]\n  8 -> 19 [size =\"49696768\"]\n  8 -> 20 [size =\"49696768\"]\n  9 [size=\"35100672\", alpha=\"0.03\", expect_size=\"17550336\"] \n  9 -> 19 [size =\"17550336\"]\n  9 -> 20 [size =\"17550336\"]\n  10 [size=\"44423168\", alpha=\"0.03\", expect_size=\"22211584\"] \n  10 -> 16 [size =\"22211584\"]\n  10 -> 19 [size =\"22211584\"]\n  10 -> 20 [size =\"22211584\"]\n  11 [size=\"98568192\", alpha=\"0.19\", expect_size=\"49284096\"] \n  11 -> 16 [size =\"49284096\"]\n  12 [size=\"94955520\", alpha=\"0.03\", expect_size=\"47477760\"] \n  12 -> 15 [size =\"47477760\"]\n  12 -> 16 [size =\"47477760\"]\n  12 -> 19 [size =\"47477760\"]\n  12 -> 20 [size =\"47477760\"]\n  13 [size=\"43913216\", alpha=\"0.08\", expect_size=\"21956608\"] \n  13 -> 16 [size =\"21956608\"]\n  13 -> 17 [size =\"21956608\"]\n  13 -> 19 [size =\"21956608\"]\n  13 -> 20 [size =\"21956608\"]\n  14 [size=\"32882688\", alpha=\"0.04\", expect_size=\"16441344\"] \n  14 -> 15 [size =\"16441344\"]\n  14 -> 20 [size =\"16441344\"]\n  15 [size=\"71483392\", alpha=\"0.16\", expect_size=\"35741696\"] \n  15 -> 24 [size =\"35741696\"]\n  15 -> 25 [size =\"35741696\"]\n  15 -> 25 [size =\"35741696\"]\n  16 [size=\"13195264\", alpha=\"0.04\", expect_size=\"6597632\"] \n  16 -> 22 [size =\"6597632\"]\n  16 -> 24 [size =\"6597632\"]\n  17 [size=\"41338880\", alpha=\"0.12\", expect_size=\"20669440\"] \n  17 -> 22 [size =\"20669440\"]\n  17 -> 25 [size =\"20669440\"]\n  18 [size=\"15153152\", alpha=\"0.03\", expect_size=\"7576576\"] \n  18 -> 21 [size =\"7576576\"]\n  18 -> 22 [size =\"7576576\"]\n  18 -> 25 [size =\"7576576\"]\n  19 [size=\"76265472\", alpha=\"0.19\", expect_size=\"38132736\"] \n  19 -> 22 [size =\"38132736\"]\n  19 -> 22 [size =\"38132736\"]\n  19 -> 23 [size =\"38132736\"]\n  19 -> 24 [size =\"38132736\"]\n  19 -> 25 [size =\"38132736\"]\n  20 [size=\"88989696\", alpha=\"0.02\", expect_size=\"44494848\"] \n  20 -> 23 [size =\"44494848\"]\n  20 -> 24 [size =\"44494848\"]\n  20 -> 25 [size =\"44494848\"]\n  21 [size=\"103624704\", alpha=\"0.11\", expect_size=\"51812352\"] \n  22 [size=\"97259520\", alpha=\"0.11\", expect_size=\"48629760\"] \n  23 [size=\"16658432\", alpha=\"0.07\", expect_size=\"8329216\"] \n  24 [size=\"54751232\", alpha=\"0.12\", expect_size=\"27375616\"] \n  25 [size=\"75311104\", alpha=\"0.06\", expect_size=\"37655552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54968320\", alpha=\"0.05\", expect_size=\"27484160\"] \n  1 -> 18 [size =\"27484160\"]\n  1 -> 20 [size =\"27484160\"]\n  1 -> 23 [size =\"27484160\"]\n  1 -> 24 [size =\"27484160\"]\n  2 [size=\"36585472\", alpha=\"0.18\", expect_size=\"18292736\"] \n  2 -> 18 [size =\"18292736\"]\n  2 -> 19 [size =\"18292736\"]\n  2 -> 20 [size =\"18292736\"]\n  2 -> 22 [size =\"18292736\"]\n  3 [size=\"62959616\", alpha=\"0.01\", expect_size=\"31479808\"] \n  3 -> 17 [size =\"31479808\"]\n  3 -> 18 [size =\"31479808\"]\n  3 -> 20 [size =\"31479808\"]\n  3 -> 22 [size =\"31479808\"]\n  4 [size=\"18665472\", alpha=\"0.03\", expect_size=\"9332736\"] \n  4 -> 17 [size =\"9332736\"]\n  4 -> 18 [size =\"9332736\"]\n  4 -> 22 [size =\"9332736\"]\n  4 -> 23 [size =\"9332736\"]\n  5 [size=\"41906176\", alpha=\"0.16\", expect_size=\"20953088\"] \n  5 -> 17 [size =\"20953088\"]\n  5 -> 18 [size =\"20953088\"]\n  5 -> 21 [size =\"20953088\"]\n  6 [size=\"45312000\", alpha=\"0.07\", expect_size=\"22656000\"] \n  6 -> 20 [size =\"22656000\"]\n  6 -> 23 [size =\"22656000\"]\n  6 -> 24 [size =\"22656000\"]\n  7 [size=\"66385920\", alpha=\"0.14\", expect_size=\"33192960\"] \n  7 -> 17 [size =\"33192960\"]\n  7 -> 20 [size =\"33192960\"]\n  7 -> 24 [size =\"33192960\"]\n  8 [size=\"101885952\", alpha=\"0.18\", expect_size=\"50942976\"] \n  8 -> 19 [size =\"50942976\"]\n  8 -> 20 [size =\"50942976\"]\n  8 -> 21 [size =\"50942976\"]\n  9 [size=\"99239936\", alpha=\"0.02\", expect_size=\"49619968\"] \n  9 -> 17 [size =\"49619968\"]\n  9 -> 20 [size =\"49619968\"]\n  10 [size=\"20584448\", alpha=\"0.11\", expect_size=\"10292224\"] \n  10 -> 17 [size =\"10292224\"]\n  10 -> 23 [size =\"10292224\"]\n  11 [size=\"99407872\", alpha=\"0.07\", expect_size=\"49703936\"] \n  11 -> 21 [size =\"49703936\"]\n  11 -> 22 [size =\"49703936\"]\n  12 [size=\"30984192\", alpha=\"0.16\", expect_size=\"15492096\"] \n  12 -> 22 [size =\"15492096\"]\n  13 [size=\"22403072\", alpha=\"0.12\", expect_size=\"11201536\"] \n  13 -> 19 [size =\"11201536\"]\n  13 -> 22 [size =\"11201536\"]\n  13 -> 24 [size =\"11201536\"]\n  13 -> 25 [size =\"11201536\"]\n  14 [size=\"25679872\", alpha=\"0.09\", expect_size=\"12839936\"] \n  14 -> 19 [size =\"12839936\"]\n  14 -> 21 [size =\"12839936\"]\n  14 -> 23 [size =\"12839936\"]\n  15 [size=\"39768064\", alpha=\"0.16\", expect_size=\"19884032\"] \n  15 -> 22 [size =\"19884032\"]\n  16 [size=\"20858880\", alpha=\"0.17\", expect_size=\"10429440\"] \n  16 -> 20 [size =\"10429440\"]\n  16 -> 22 [size =\"10429440\"]\n  17 [size=\"52187136\", alpha=\"0.03\", expect_size=\"26093568\"] \n  18 [size=\"22679552\", alpha=\"0.10\", expect_size=\"11339776\"] \n  19 [size=\"13983744\", alpha=\"0.04\", expect_size=\"6991872\"] \n  20 [size=\"23746560\", alpha=\"0.05\", expect_size=\"11873280\"] \n  21 [size=\"73943040\", alpha=\"0.16\", expect_size=\"36971520\"] \n  22 [size=\"12941312\", alpha=\"0.12\", expect_size=\"6470656\"] \n  23 [size=\"87492608\", alpha=\"0.20\", expect_size=\"43746304\"] \n  24 [size=\"49229824\", alpha=\"0.09\", expect_size=\"24614912\"] \n  25 [size=\"91117568\", alpha=\"0.05\", expect_size=\"45558784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155453440\", alpha=\"0.02\", expect_size=\"46636032\"] \n  1 -> 2 [size =\"46636032\"]\n  2 [size=\"64720213\", alpha=\"0.16\", expect_size=\"19416064\"] \n  2 -> 3 [size =\"19416064\"]\n  3 [size=\"166389760\", alpha=\"0.08\", expect_size=\"49916928\"] \n  3 -> 4 [size =\"49916928\"]\n  4 [size=\"160614400\", alpha=\"0.12\", expect_size=\"48184320\"] \n  4 -> 5 [size =\"48184320\"]\n  5 [size=\"107147947\", alpha=\"0.06\", expect_size=\"32144384\"] \n  5 -> 6 [size =\"32144384\"]\n  6 [size=\"24733013\", alpha=\"0.04\", expect_size=\"7419904\"] \n  6 -> 7 [size =\"7419904\"]\n  7 [size=\"49042773\", alpha=\"0.11\", expect_size=\"14712832\"] \n  7 -> 8 [size =\"14712832\"]\n  8 [size=\"91941547\", alpha=\"0.09\", expect_size=\"27582464\"] \n  8 -> 9 [size =\"27582464\"]\n  9 [size=\"87200427\", alpha=\"0.14\", expect_size=\"26160128\"] \n  9 -> 10 [size =\"26160128\"]\n  10 [size=\"67983360\", alpha=\"0.19\", expect_size=\"20395008\"] \n  10 -> 11 [size =\"20395008\"]\n  11 [size=\"117585920\", alpha=\"0.16\", expect_size=\"35275776\"] \n  11 -> 12 [size =\"35275776\"]\n  12 [size=\"134754987\", alpha=\"0.01\", expect_size=\"40426496\"] \n  12 -> 13 [size =\"40426496\"]\n  13 [size=\"105738240\", alpha=\"0.10\", expect_size=\"31721472\"] \n  13 -> 14 [size =\"31721472\"]\n  14 [size=\"168062293\", alpha=\"0.11\", expect_size=\"50418688\"] \n  14 -> 15 [size =\"50418688\"]\n  15 [size=\"108226560\", alpha=\"0.13\", expect_size=\"32467968\"] \n  15 -> 16 [size =\"32467968\"]\n  16 [size=\"154316800\", alpha=\"0.16\", expect_size=\"46295040\"] \n  16 -> 17 [size =\"46295040\"]\n  17 [size=\"30300160\", alpha=\"0.14\", expect_size=\"9090048\"] \n  17 -> 18 [size =\"9090048\"]\n  18 [size=\"114851840\", alpha=\"0.15\", expect_size=\"34455552\"] \n  18 -> 19 [size =\"34455552\"]\n  19 [size=\"27907413\", alpha=\"0.20\", expect_size=\"8372224\"] \n  19 -> 20 [size =\"8372224\"]\n  20 [size=\"137850880\", alpha=\"0.17\", expect_size=\"41355264\"] \n  20 -> 21 [size =\"41355264\"]\n  21 [size=\"126440107\", alpha=\"0.11\", expect_size=\"37932032\"] \n  21 -> 22 [size =\"37932032\"]\n  22 [size=\"96344747\", alpha=\"0.11\", expect_size=\"28903424\"] \n  22 -> 23 [size =\"28903424\"]\n  23 [size=\"107120640\", alpha=\"0.10\", expect_size=\"32136192\"] \n  23 -> 24 [size =\"32136192\"]\n  24 [size=\"27579733\", alpha=\"0.08\", expect_size=\"8273920\"] \n  24 -> 25 [size =\"8273920\"]\n  25 [size=\"116954453\", alpha=\"0.17\", expect_size=\"35086336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163997013\", alpha=\"0.10\", expect_size=\"49199104\"] \n  1 -> 2 [size =\"49199104\"]\n  1 -> 3 [size =\"49199104\"]\n  2 [size=\"78540800\", alpha=\"0.20\", expect_size=\"23562240\"] \n  2 -> 4 [size =\"23562240\"]\n  3 [size=\"89910613\", alpha=\"0.07\", expect_size=\"26973184\"] \n  4 [size=\"141455360\", alpha=\"0.19\", expect_size=\"42436608\"] \n  4 -> 5 [size =\"42436608\"]\n  5 [size=\"154678613\", alpha=\"0.07\", expect_size=\"46403584\"] \n  5 -> 6 [size =\"46403584\"]\n  6 [size=\"152913920\", alpha=\"0.09\", expect_size=\"45874176\"] \n  6 -> 7 [size =\"45874176\"]\n  7 [size=\"154852693\", alpha=\"0.06\", expect_size=\"46455808\"] \n  7 -> 8 [size =\"46455808\"]\n  7 -> 9 [size =\"46455808\"]\n  8 [size=\"169076053\", alpha=\"0.19\", expect_size=\"50722816\"] \n  8 -> 10 [size =\"50722816\"]\n  9 [size=\"102031360\", alpha=\"0.08\", expect_size=\"30609408\"] \n  10 [size=\"79612587\", alpha=\"0.02\", expect_size=\"23883776\"] \n  10 -> 11 [size =\"23883776\"]\n  11 [size=\"162495147\", alpha=\"0.09\", expect_size=\"48748544\"] \n  11 -> 12 [size =\"48748544\"]\n  11 -> 13 [size =\"48748544\"]\n  12 [size=\"80718507\", alpha=\"0.09\", expect_size=\"24215552\"] \n  13 [size=\"80575147\", alpha=\"0.14\", expect_size=\"24172544\"] \n  13 -> 14 [size =\"24172544\"]\n  13 -> 15 [size =\"24172544\"]\n  14 [size=\"131737600\", alpha=\"0.04\", expect_size=\"39521280\"] \n  14 -> 16 [size =\"39521280\"]\n  15 [size=\"127546027\", alpha=\"0.05\", expect_size=\"38263808\"] \n  16 [size=\"22920533\", alpha=\"0.09\", expect_size=\"6876160\"] \n  16 -> 17 [size =\"6876160\"]\n  17 [size=\"91549013\", alpha=\"0.17\", expect_size=\"27464704\"] \n  17 -> 18 [size =\"27464704\"]\n  17 -> 19 [size =\"27464704\"]\n  18 [size=\"141284693\", alpha=\"0.10\", expect_size=\"42385408\"] \n  18 -> 20 [size =\"42385408\"]\n  18 -> 21 [size =\"42385408\"]\n  19 [size=\"134840320\", alpha=\"0.08\", expect_size=\"40452096\"] \n  19 -> 20 [size =\"40452096\"]\n  20 [size=\"42547200\", alpha=\"0.02\", expect_size=\"12764160\"] \n  20 -> 22 [size =\"12764160\"]\n  20 -> 23 [size =\"12764160\"]\n  21 [size=\"58555733\", alpha=\"0.15\", expect_size=\"17566720\"] \n  21 -> 23 [size =\"17566720\"]\n  22 [size=\"129976320\", alpha=\"0.16\", expect_size=\"38992896\"] \n  22 -> 24 [size =\"38992896\"]\n  22 -> 25 [size =\"38992896\"]\n  23 [size=\"41202347\", alpha=\"0.06\", expect_size=\"12360704\"] \n  23 -> 24 [size =\"12360704\"]\n  23 -> 25 [size =\"12360704\"]\n  24 [size=\"152005973\", alpha=\"0.11\", expect_size=\"45601792\"] \n  25 [size=\"25808213\", alpha=\"0.14\", expect_size=\"7742464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62146560\", alpha=\"0.08\", expect_size=\"18643968\"] \n  1 -> 11 [size =\"18643968\"]\n  1 -> 14 [size =\"18643968\"]\n  1 -> 19 [size =\"18643968\"]\n  1 -> 21 [size =\"18643968\"]\n  1 -> 22 [size =\"18643968\"]\n  1 -> 24 [size =\"18643968\"]\n  2 [size=\"111489707\", alpha=\"0.13\", expect_size=\"33446912\"] \n  2 -> 11 [size =\"33446912\"]\n  2 -> 12 [size =\"33446912\"]\n  2 -> 16 [size =\"33446912\"]\n  2 -> 18 [size =\"33446912\"]\n  2 -> 21 [size =\"33446912\"]\n  2 -> 22 [size =\"33446912\"]\n  2 -> 23 [size =\"33446912\"]\n  2 -> 25 [size =\"33446912\"]\n  3 [size=\"156603733\", alpha=\"0.02\", expect_size=\"46981120\"] \n  3 -> 12 [size =\"46981120\"]\n  3 -> 13 [size =\"46981120\"]\n  3 -> 16 [size =\"46981120\"]\n  3 -> 17 [size =\"46981120\"]\n  3 -> 18 [size =\"46981120\"]\n  3 -> 22 [size =\"46981120\"]\n  3 -> 23 [size =\"46981120\"]\n  3 -> 24 [size =\"46981120\"]\n  3 -> 25 [size =\"46981120\"]\n  4 [size=\"104434347\", alpha=\"0.09\", expect_size=\"31330304\"] \n  4 -> 12 [size =\"31330304\"]\n  4 -> 16 [size =\"31330304\"]\n  4 -> 19 [size =\"31330304\"]\n  4 -> 20 [size =\"31330304\"]\n  4 -> 21 [size =\"31330304\"]\n  4 -> 24 [size =\"31330304\"]\n  4 -> 25 [size =\"31330304\"]\n  5 [size=\"139601920\", alpha=\"0.08\", expect_size=\"41880576\"] \n  5 -> 11 [size =\"41880576\"]\n  5 -> 13 [size =\"41880576\"]\n  6 [size=\"87845547\", alpha=\"0.16\", expect_size=\"26353664\"] \n  6 -> 11 [size =\"26353664\"]\n  6 -> 13 [size =\"26353664\"]\n  6 -> 20 [size =\"26353664\"]\n  6 -> 22 [size =\"26353664\"]\n  6 -> 23 [size =\"26353664\"]\n  7 [size=\"98932053\", alpha=\"0.18\", expect_size=\"29679616\"] \n  7 -> 11 [size =\"29679616\"]\n  7 -> 13 [size =\"29679616\"]\n  7 -> 15 [size =\"29679616\"]\n  7 -> 16 [size =\"29679616\"]\n  7 -> 22 [size =\"29679616\"]\n  8 [size=\"46561280\", alpha=\"0.15\", expect_size=\"13968384\"] \n  8 -> 12 [size =\"13968384\"]\n  8 -> 15 [size =\"13968384\"]\n  8 -> 18 [size =\"13968384\"]\n  8 -> 21 [size =\"13968384\"]\n  8 -> 22 [size =\"13968384\"]\n  9 [size=\"125480960\", alpha=\"0.03\", expect_size=\"37644288\"] \n  9 -> 12 [size =\"37644288\"]\n  9 -> 13 [size =\"37644288\"]\n  9 -> 21 [size =\"37644288\"]\n  9 -> 25 [size =\"37644288\"]\n  10 [size=\"170844160\", alpha=\"0.04\", expect_size=\"51253248\"] \n  10 -> 11 [size =\"51253248\"]\n  10 -> 12 [size =\"51253248\"]\n  10 -> 13 [size =\"51253248\"]\n  10 -> 18 [size =\"51253248\"]\n  10 -> 20 [size =\"51253248\"]\n  10 -> 23 [size =\"51253248\"]\n  10 -> 25 [size =\"51253248\"]\n  11 [size=\"141042347\", alpha=\"0.09\", expect_size=\"42312704\"] \n  12 [size=\"42779307\", alpha=\"0.01\", expect_size=\"12833792\"] \n  13 [size=\"148872533\", alpha=\"0.17\", expect_size=\"44661760\"] \n  14 [size=\"162362027\", alpha=\"0.12\", expect_size=\"48708608\"] \n  15 [size=\"76318720\", alpha=\"0.14\", expect_size=\"22895616\"] \n  16 [size=\"136219307\", alpha=\"0.19\", expect_size=\"40865792\"] \n  17 [size=\"103639040\", alpha=\"0.00\", expect_size=\"31091712\"] \n  18 [size=\"86650880\", alpha=\"0.04\", expect_size=\"25995264\"] \n  19 [size=\"50312533\", alpha=\"0.02\", expect_size=\"15093760\"] \n  20 [size=\"72465067\", alpha=\"0.07\", expect_size=\"21739520\"] \n  21 [size=\"106403840\", alpha=\"0.17\", expect_size=\"31921152\"] \n  22 [size=\"20462933\", alpha=\"0.20\", expect_size=\"6138880\"] \n  23 [size=\"28446720\", alpha=\"0.00\", expect_size=\"8534016\"] \n  24 [size=\"163252907\", alpha=\"0.12\", expect_size=\"48975872\"] \n  25 [size=\"101413547\", alpha=\"0.18\", expect_size=\"30424064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79511552\", alpha=\"0.15\", expect_size=\"39755776\"] \n  1 -> 2 [size =\"39755776\"]\n  2 [size=\"88832000\", alpha=\"0.10\", expect_size=\"44416000\"] \n  2 -> 3 [size =\"44416000\"]\n  3 [size=\"69212160\", alpha=\"0.17\", expect_size=\"34606080\"] \n  3 -> 4 [size =\"34606080\"]\n  4 [size=\"57737216\", alpha=\"0.18\", expect_size=\"28868608\"] \n  4 -> 5 [size =\"28868608\"]\n  5 [size=\"87889920\", alpha=\"0.08\", expect_size=\"43944960\"] \n  5 -> 6 [size =\"43944960\"]\n  6 [size=\"38436864\", alpha=\"0.06\", expect_size=\"19218432\"] \n  6 -> 7 [size =\"19218432\"]\n  7 [size=\"43403264\", alpha=\"0.11\", expect_size=\"21701632\"] \n  7 -> 8 [size =\"21701632\"]\n  8 [size=\"45166592\", alpha=\"0.00\", expect_size=\"22583296\"] \n  8 -> 9 [size =\"22583296\"]\n  9 [size=\"56012800\", alpha=\"0.14\", expect_size=\"28006400\"] \n  9 -> 10 [size =\"28006400\"]\n  10 [size=\"26382336\", alpha=\"0.12\", expect_size=\"13191168\"] \n  10 -> 11 [size =\"13191168\"]\n  11 [size=\"89802752\", alpha=\"0.04\", expect_size=\"44901376\"] \n  11 -> 12 [size =\"44901376\"]\n  12 [size=\"66832384\", alpha=\"0.17\", expect_size=\"33416192\"] \n  12 -> 13 [size =\"33416192\"]\n  13 [size=\"17793024\", alpha=\"0.01\", expect_size=\"8896512\"] \n  13 -> 14 [size =\"8896512\"]\n  14 [size=\"99872768\", alpha=\"0.01\", expect_size=\"49936384\"] \n  14 -> 15 [size =\"49936384\"]\n  15 [size=\"91316224\", alpha=\"0.06\", expect_size=\"45658112\"] \n  15 -> 16 [size =\"45658112\"]\n  16 [size=\"35186688\", alpha=\"0.14\", expect_size=\"17593344\"] \n  16 -> 17 [size =\"17593344\"]\n  17 [size=\"61843456\", alpha=\"0.12\", expect_size=\"30921728\"] \n  17 -> 18 [size =\"30921728\"]\n  18 [size=\"18714624\", alpha=\"0.15\", expect_size=\"9357312\"] \n  18 -> 19 [size =\"9357312\"]\n  19 [size=\"20617216\", alpha=\"0.01\", expect_size=\"10308608\"] \n  19 -> 20 [size =\"10308608\"]\n  20 [size=\"85217280\", alpha=\"0.13\", expect_size=\"42608640\"] \n  20 -> 21 [size =\"42608640\"]\n  21 [size=\"48791552\", alpha=\"0.19\", expect_size=\"24395776\"] \n  21 -> 22 [size =\"24395776\"]\n  22 [size=\"69867520\", alpha=\"0.02\", expect_size=\"34933760\"] \n  22 -> 23 [size =\"34933760\"]\n  23 [size=\"53835776\", alpha=\"0.18\", expect_size=\"26917888\"] \n  23 -> 24 [size =\"26917888\"]\n  24 [size=\"60884992\", alpha=\"0.03\", expect_size=\"30442496\"] \n  24 -> 25 [size =\"30442496\"]\n  25 [size=\"66920448\", alpha=\"0.05\", expect_size=\"33460224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130606080\", alpha=\"0.12\", expect_size=\"52242432\"] \n  2 [size=\"70049280\", alpha=\"0.17\", expect_size=\"28019712\"] \n  2 -> 19 [size =\"28019712\"]\n  2 -> 20 [size =\"28019712\"]\n  2 -> 21 [size =\"28019712\"]\n  2 -> 25 [size =\"28019712\"]\n  3 [size=\"25896960\", alpha=\"0.02\", expect_size=\"10358784\"] \n  4 [size=\"95984640\", alpha=\"0.13\", expect_size=\"38393856\"] \n  4 -> 20 [size =\"38393856\"]\n  4 -> 24 [size =\"38393856\"]\n  5 [size=\"42022400\", alpha=\"0.12\", expect_size=\"16808960\"] \n  5 -> 24 [size =\"16808960\"]\n  5 -> 25 [size =\"16808960\"]\n  6 [size=\"13908480\", alpha=\"0.19\", expect_size=\"5563392\"] \n  6 -> 19 [size =\"5563392\"]\n  6 -> 21 [size =\"5563392\"]\n  6 -> 25 [size =\"5563392\"]\n  7 [size=\"49628160\", alpha=\"0.14\", expect_size=\"19851264\"] \n  7 -> 19 [size =\"19851264\"]\n  7 -> 21 [size =\"19851264\"]\n  7 -> 22 [size =\"19851264\"]\n  8 [size=\"33328640\", alpha=\"0.14\", expect_size=\"13331456\"] \n  8 -> 20 [size =\"13331456\"]\n  8 -> 21 [size =\"13331456\"]\n  8 -> 23 [size =\"13331456\"]\n  9 [size=\"16327680\", alpha=\"0.10\", expect_size=\"6531072\"] \n  9 -> 19 [size =\"6531072\"]\n  10 [size=\"40386560\", alpha=\"0.00\", expect_size=\"16154624\"] \n  10 -> 19 [size =\"16154624\"]\n  10 -> 21 [size =\"16154624\"]\n  10 -> 22 [size =\"16154624\"]\n  10 -> 24 [size =\"16154624\"]\n  11 [size=\"35868160\", alpha=\"0.11\", expect_size=\"14347264\"] \n  11 -> 19 [size =\"14347264\"]\n  11 -> 20 [size =\"14347264\"]\n  11 -> 21 [size =\"14347264\"]\n  11 -> 24 [size =\"14347264\"]\n  12 [size=\"107804160\", alpha=\"0.11\", expect_size=\"43121664\"] \n  12 -> 20 [size =\"43121664\"]\n  12 -> 21 [size =\"43121664\"]\n  12 -> 25 [size =\"43121664\"]\n  13 [size=\"90403840\", alpha=\"0.14\", expect_size=\"36161536\"] \n  13 -> 21 [size =\"36161536\"]\n  13 -> 23 [size =\"36161536\"]\n  13 -> 24 [size =\"36161536\"]\n  13 -> 25 [size =\"36161536\"]\n  14 [size=\"104668160\", alpha=\"0.01\", expect_size=\"41867264\"] \n  14 -> 19 [size =\"41867264\"]\n  15 [size=\"64161280\", alpha=\"0.00\", expect_size=\"25664512\"] \n  15 -> 19 [size =\"25664512\"]\n  16 [size=\"17331200\", alpha=\"0.00\", expect_size=\"6932480\"] \n  16 -> 21 [size =\"6932480\"]\n  16 -> 25 [size =\"6932480\"]\n  17 [size=\"127644160\", alpha=\"0.16\", expect_size=\"51057664\"] \n  17 -> 20 [size =\"51057664\"]\n  18 [size=\"91924480\", alpha=\"0.19\", expect_size=\"36769792\"] \n  18 -> 19 [size =\"36769792\"]\n  19 [size=\"54072320\", alpha=\"0.12\", expect_size=\"21628928\"] \n  20 [size=\"113379840\", alpha=\"0.06\", expect_size=\"45351936\"] \n  21 [size=\"114557440\", alpha=\"0.00\", expect_size=\"45822976\"] \n  22 [size=\"58757120\", alpha=\"0.04\", expect_size=\"23502848\"] \n  23 [size=\"125644800\", alpha=\"0.10\", expect_size=\"50257920\"] \n  24 [size=\"91548160\", alpha=\"0.10\", expect_size=\"36619264\"] \n  25 [size=\"99233280\", alpha=\"0.15\", expect_size=\"39693312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56471040\", alpha=\"0.01\", expect_size=\"22588416\"] \n  1 -> 3 [size =\"22588416\"]\n  1 -> 4 [size =\"22588416\"]\n  2 [size=\"119385600\", alpha=\"0.19\", expect_size=\"47754240\"] \n  2 -> 3 [size =\"47754240\"]\n  2 -> 4 [size =\"47754240\"]\n  3 [size=\"62566400\", alpha=\"0.19\", expect_size=\"25026560\"] \n  3 -> 5 [size =\"25026560\"]\n  4 [size=\"26150400\", alpha=\"0.09\", expect_size=\"10460160\"] \n  4 -> 6 [size =\"10460160\"]\n  5 [size=\"79544320\", alpha=\"0.08\", expect_size=\"31817728\"] \n  5 -> 7 [size =\"31817728\"]\n  6 [size=\"69050880\", alpha=\"0.03\", expect_size=\"27620352\"] \n  6 -> 8 [size =\"27620352\"]\n  7 [size=\"22561280\", alpha=\"0.13\", expect_size=\"9024512\"] \n  8 [size=\"14272000\", alpha=\"0.02\", expect_size=\"5708800\"] \n  8 -> 9 [size =\"5708800\"]\n  9 [size=\"40911360\", alpha=\"0.15\", expect_size=\"16364544\"] \n  9 -> 10 [size =\"16364544\"]\n  9 -> 11 [size =\"16364544\"]\n  10 [size=\"103900160\", alpha=\"0.10\", expect_size=\"41560064\"] \n  10 -> 12 [size =\"41560064\"]\n  11 [size=\"72924160\", alpha=\"0.00\", expect_size=\"29169664\"] \n  11 -> 12 [size =\"29169664\"]\n  12 [size=\"78371840\", alpha=\"0.15\", expect_size=\"31348736\"] \n  12 -> 13 [size =\"31348736\"]\n  13 [size=\"74511360\", alpha=\"0.18\", expect_size=\"29804544\"] \n  13 -> 14 [size =\"29804544\"]\n  14 [size=\"66158080\", alpha=\"0.11\", expect_size=\"26463232\"] \n  14 -> 15 [size =\"26463232\"]\n  15 [size=\"121062400\", alpha=\"0.05\", expect_size=\"48424960\"] \n  15 -> 16 [size =\"48424960\"]\n  15 -> 17 [size =\"48424960\"]\n  16 [size=\"48071680\", alpha=\"0.14\", expect_size=\"19228672\"] \n  16 -> 18 [size =\"19228672\"]\n  16 -> 19 [size =\"19228672\"]\n  17 [size=\"68549120\", alpha=\"0.16\", expect_size=\"27419648\"] \n  17 -> 19 [size =\"27419648\"]\n  18 [size=\"28070400\", alpha=\"0.04\", expect_size=\"11228160\"] \n  18 -> 20 [size =\"11228160\"]\n  18 -> 21 [size =\"11228160\"]\n  19 [size=\"40570880\", alpha=\"0.17\", expect_size=\"16228352\"] \n  19 -> 20 [size =\"16228352\"]\n  19 -> 21 [size =\"16228352\"]\n  20 [size=\"129482240\", alpha=\"0.05\", expect_size=\"51792896\"] \n  21 [size=\"73264640\", alpha=\"0.19\", expect_size=\"29305856\"] \n  21 -> 22 [size =\"29305856\"]\n  21 -> 23 [size =\"29305856\"]\n  22 [size=\"73405440\", alpha=\"0.12\", expect_size=\"29362176\"] \n  22 -> 24 [size =\"29362176\"]\n  23 [size=\"46735360\", alpha=\"0.13\", expect_size=\"18694144\"] \n  23 -> 24 [size =\"18694144\"]\n  23 -> 25 [size =\"18694144\"]\n  24 [size=\"34176000\", alpha=\"0.16\", expect_size=\"13670400\"] \n  25 [size=\"99220480\", alpha=\"0.10\", expect_size=\"39688192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42620928\", alpha=\"0.16\", expect_size=\"21310464\"] \n  1 -> 3 [size =\"21310464\"]\n  2 [size=\"19503104\", alpha=\"0.00\", expect_size=\"9751552\"] \n  3 [size=\"12726272\", alpha=\"0.01\", expect_size=\"6363136\"] \n  3 -> 4 [size =\"6363136\"]\n  3 -> 5 [size =\"6363136\"]\n  4 [size=\"21254144\", alpha=\"0.19\", expect_size=\"10627072\"] \n  4 -> 6 [size =\"10627072\"]\n  5 [size=\"47609856\", alpha=\"0.14\", expect_size=\"23804928\"] \n  5 -> 7 [size =\"23804928\"]\n  6 [size=\"42289152\", alpha=\"0.08\", expect_size=\"21144576\"] \n  6 -> 9 [size =\"21144576\"]\n  7 [size=\"23468032\", alpha=\"0.05\", expect_size=\"11734016\"] \n  7 -> 8 [size =\"11734016\"]\n  8 [size=\"69478400\", alpha=\"0.02\", expect_size=\"34739200\"] \n  8 -> 10 [size =\"34739200\"]\n  8 -> 11 [size =\"34739200\"]\n  9 [size=\"21006336\", alpha=\"0.19\", expect_size=\"10503168\"] \n  10 [size=\"17559552\", alpha=\"0.03\", expect_size=\"8779776\"] \n  11 [size=\"44007424\", alpha=\"0.05\", expect_size=\"22003712\"] \n  11 -> 12 [size =\"22003712\"]\n  12 [size=\"23173120\", alpha=\"0.17\", expect_size=\"11586560\"] \n  12 -> 13 [size =\"11586560\"]\n  12 -> 14 [size =\"11586560\"]\n  13 [size=\"24852480\", alpha=\"0.00\", expect_size=\"12426240\"] \n  14 [size=\"30298112\", alpha=\"0.08\", expect_size=\"15149056\"] \n  14 -> 15 [size =\"15149056\"]\n  14 -> 16 [size =\"15149056\"]\n  15 [size=\"24606720\", alpha=\"0.08\", expect_size=\"12303360\"] \n  15 -> 17 [size =\"12303360\"]\n  16 [size=\"89622528\", alpha=\"0.10\", expect_size=\"44811264\"] \n  17 [size=\"32704512\", alpha=\"0.10\", expect_size=\"16352256\"] \n  17 -> 18 [size =\"16352256\"]\n  18 [size=\"57675776\", alpha=\"0.20\", expect_size=\"28837888\"] \n  18 -> 19 [size =\"28837888\"]\n  18 -> 20 [size =\"28837888\"]\n  19 [size=\"66869248\", alpha=\"0.14\", expect_size=\"33434624\"] \n  20 [size=\"62226432\", alpha=\"0.15\", expect_size=\"31113216\"] \n  20 -> 21 [size =\"31113216\"]\n  20 -> 22 [size =\"31113216\"]\n  21 [size=\"77959168\", alpha=\"0.02\", expect_size=\"38979584\"] \n  21 -> 23 [size =\"38979584\"]\n  22 [size=\"100268032\", alpha=\"0.12\", expect_size=\"50134016\"] \n  23 [size=\"85463040\", alpha=\"0.02\", expect_size=\"42731520\"] \n  23 -> 24 [size =\"42731520\"]\n  24 [size=\"86315008\", alpha=\"0.15\", expect_size=\"43157504\"] \n  24 -> 25 [size =\"43157504\"]\n  25 [size=\"28592128\", alpha=\"0.15\", expect_size=\"14296064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18124800\", alpha=\"0.17\", expect_size=\"9062400\"] \n  1 -> 2 [size =\"9062400\"]\n  2 [size=\"18923520\", alpha=\"0.19\", expect_size=\"9461760\"] \n  2 -> 3 [size =\"9461760\"]\n  3 [size=\"34379776\", alpha=\"0.05\", expect_size=\"17189888\"] \n  3 -> 4 [size =\"17189888\"]\n  4 [size=\"29198336\", alpha=\"0.01\", expect_size=\"14599168\"] \n  4 -> 5 [size =\"14599168\"]\n  5 [size=\"49481728\", alpha=\"0.00\", expect_size=\"24740864\"] \n  5 -> 6 [size =\"24740864\"]\n  6 [size=\"17610752\", alpha=\"0.14\", expect_size=\"8805376\"] \n  6 -> 7 [size =\"8805376\"]\n  7 [size=\"90664960\", alpha=\"0.18\", expect_size=\"45332480\"] \n  7 -> 8 [size =\"45332480\"]\n  8 [size=\"16035840\", alpha=\"0.00\", expect_size=\"8017920\"] \n  8 -> 9 [size =\"8017920\"]\n  9 [size=\"79962112\", alpha=\"0.15\", expect_size=\"39981056\"] \n  9 -> 10 [size =\"39981056\"]\n  10 [size=\"46010368\", alpha=\"0.04\", expect_size=\"23005184\"] \n  10 -> 11 [size =\"23005184\"]\n  11 [size=\"49164288\", alpha=\"0.20\", expect_size=\"24582144\"] \n  11 -> 12 [size =\"24582144\"]\n  12 [size=\"35012608\", alpha=\"0.02\", expect_size=\"17506304\"] \n  12 -> 13 [size =\"17506304\"]\n  13 [size=\"29677568\", alpha=\"0.14\", expect_size=\"14838784\"] \n  13 -> 14 [size =\"14838784\"]\n  14 [size=\"54220800\", alpha=\"0.10\", expect_size=\"27110400\"] \n  14 -> 15 [size =\"27110400\"]\n  15 [size=\"61128704\", alpha=\"0.19\", expect_size=\"30564352\"] \n  15 -> 16 [size =\"30564352\"]\n  16 [size=\"63109120\", alpha=\"0.11\", expect_size=\"31554560\"] \n  16 -> 17 [size =\"31554560\"]\n  17 [size=\"35037184\", alpha=\"0.13\", expect_size=\"17518592\"] \n  17 -> 18 [size =\"17518592\"]\n  18 [size=\"26198016\", alpha=\"0.09\", expect_size=\"13099008\"] \n  18 -> 19 [size =\"13099008\"]\n  19 [size=\"27101184\", alpha=\"0.14\", expect_size=\"13550592\"] \n  19 -> 20 [size =\"13550592\"]\n  20 [size=\"99422208\", alpha=\"0.17\", expect_size=\"49711104\"] \n  20 -> 21 [size =\"49711104\"]\n  21 [size=\"22050816\", alpha=\"0.02\", expect_size=\"11025408\"] \n  21 -> 22 [size =\"11025408\"]\n  22 [size=\"20637696\", alpha=\"0.09\", expect_size=\"10318848\"] \n  22 -> 23 [size =\"10318848\"]\n  23 [size=\"32184320\", alpha=\"0.01\", expect_size=\"16092160\"] \n  23 -> 24 [size =\"16092160\"]\n  24 [size=\"98699264\", alpha=\"0.16\", expect_size=\"49349632\"] \n  24 -> 25 [size =\"49349632\"]\n  25 [size=\"52215808\", alpha=\"0.00\", expect_size=\"26107904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15597568\", alpha=\"0.04\", expect_size=\"7798784\"] \n  2 [size=\"10491904\", alpha=\"0.02\", expect_size=\"5245952\"] \n  2 -> 5 [size =\"5245952\"]\n  2 -> 6 [size =\"5245952\"]\n  3 [size=\"27566080\", alpha=\"0.01\", expect_size=\"13783040\"] \n  3 -> 5 [size =\"13783040\"]\n  4 [size=\"69453824\", alpha=\"0.05\", expect_size=\"34726912\"] \n  4 -> 7 [size =\"34726912\"]\n  5 [size=\"47626240\", alpha=\"0.17\", expect_size=\"23813120\"] \n  5 -> 8 [size =\"23813120\"]\n  5 -> 9 [size =\"23813120\"]\n  5 -> 10 [size =\"23813120\"]\n  5 -> 11 [size =\"23813120\"]\n  6 [size=\"71534592\", alpha=\"0.01\", expect_size=\"35767296\"] \n  6 -> 9 [size =\"35767296\"]\n  6 -> 10 [size =\"35767296\"]\n  6 -> 11 [size =\"35767296\"]\n  7 [size=\"77846528\", alpha=\"0.05\", expect_size=\"38923264\"] \n  7 -> 8 [size =\"38923264\"]\n  8 [size=\"34326528\", alpha=\"0.03\", expect_size=\"17163264\"] \n  9 [size=\"59723776\", alpha=\"0.04\", expect_size=\"29861888\"] \n  9 -> 12 [size =\"29861888\"]\n  9 -> 14 [size =\"29861888\"]\n  10 [size=\"67799040\", alpha=\"0.13\", expect_size=\"33899520\"] \n  11 [size=\"88283136\", alpha=\"0.20\", expect_size=\"44141568\"] \n  11 -> 12 [size =\"44141568\"]\n  11 -> 13 [size =\"44141568\"]\n  12 [size=\"12976128\", alpha=\"0.11\", expect_size=\"6488064\"] \n  12 -> 16 [size =\"6488064\"]\n  13 [size=\"20277248\", alpha=\"0.03\", expect_size=\"10138624\"] \n  13 -> 15 [size =\"10138624\"]\n  13 -> 16 [size =\"10138624\"]\n  13 -> 17 [size =\"10138624\"]\n  14 [size=\"26310656\", alpha=\"0.04\", expect_size=\"13155328\"] \n  14 -> 15 [size =\"13155328\"]\n  15 [size=\"48930816\", alpha=\"0.19\", expect_size=\"24465408\"] \n  15 -> 18 [size =\"24465408\"]\n  16 [size=\"33036288\", alpha=\"0.19\", expect_size=\"16518144\"] \n  16 -> 19 [size =\"16518144\"]\n  16 -> 20 [size =\"16518144\"]\n  17 [size=\"35659776\", alpha=\"0.13\", expect_size=\"17829888\"] \n  17 -> 18 [size =\"17829888\"]\n  17 -> 19 [size =\"17829888\"]\n  18 [size=\"60182528\", alpha=\"0.06\", expect_size=\"30091264\"] \n  18 -> 21 [size =\"30091264\"]\n  18 -> 23 [size =\"30091264\"]\n  19 [size=\"73101312\", alpha=\"0.18\", expect_size=\"36550656\"] \n  19 -> 21 [size =\"36550656\"]\n  19 -> 22 [size =\"36550656\"]\n  20 [size=\"93667328\", alpha=\"0.14\", expect_size=\"46833664\"] \n  21 [size=\"60606464\", alpha=\"0.12\", expect_size=\"30303232\"] \n  22 [size=\"58253312\", alpha=\"0.09\", expect_size=\"29126656\"] \n  22 -> 24 [size =\"29126656\"]\n  23 [size=\"15241216\", alpha=\"0.10\", expect_size=\"7620608\"] \n  23 -> 25 [size =\"7620608\"]\n  24 [size=\"30693376\", alpha=\"0.04\", expect_size=\"15346688\"] \n  25 [size=\"51167232\", alpha=\"0.06\", expect_size=\"25583616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115073707\", alpha=\"0.02\", expect_size=\"34522112\"] \n  1 -> 7 [size =\"34522112\"]\n  2 [size=\"138571093\", alpha=\"0.04\", expect_size=\"41571328\"] \n  2 -> 5 [size =\"41571328\"]\n  2 -> 6 [size =\"41571328\"]\n  3 [size=\"107840853\", alpha=\"0.16\", expect_size=\"32352256\"] \n  3 -> 5 [size =\"32352256\"]\n  4 [size=\"70352213\", alpha=\"0.05\", expect_size=\"21105664\"] \n  4 -> 5 [size =\"21105664\"]\n  4 -> 6 [size =\"21105664\"]\n  4 -> 7 [size =\"21105664\"]\n  5 [size=\"150316373\", alpha=\"0.18\", expect_size=\"45094912\"] \n  5 -> 8 [size =\"45094912\"]\n  6 [size=\"88214187\", alpha=\"0.03\", expect_size=\"26464256\"] \n  6 -> 8 [size =\"26464256\"]\n  6 -> 9 [size =\"26464256\"]\n  7 [size=\"78363307\", alpha=\"0.10\", expect_size=\"23508992\"] \n  7 -> 10 [size =\"23508992\"]\n  8 [size=\"85036373\", alpha=\"0.07\", expect_size=\"25510912\"] \n  8 -> 11 [size =\"25510912\"]\n  8 -> 13 [size =\"25510912\"]\n  9 [size=\"55483733\", alpha=\"0.09\", expect_size=\"16645120\"] \n  9 -> 11 [size =\"16645120\"]\n  10 [size=\"88470187\", alpha=\"0.04\", expect_size=\"26541056\"] \n  10 -> 12 [size =\"26541056\"]\n  10 -> 13 [size =\"26541056\"]\n  11 [size=\"37915307\", alpha=\"0.20\", expect_size=\"11374592\"] \n  11 -> 15 [size =\"11374592\"]\n  12 [size=\"57128960\", alpha=\"0.01\", expect_size=\"17138688\"] \n  12 -> 16 [size =\"17138688\"]\n  12 -> 17 [size =\"17138688\"]\n  13 [size=\"85121707\", alpha=\"0.17\", expect_size=\"25536512\"] \n  13 -> 14 [size =\"25536512\"]\n  13 -> 15 [size =\"25536512\"]\n  13 -> 16 [size =\"25536512\"]\n  13 -> 17 [size =\"25536512\"]\n  14 [size=\"56627200\", alpha=\"0.09\", expect_size=\"16988160\"] \n  14 -> 18 [size =\"16988160\"]\n  14 -> 19 [size =\"16988160\"]\n  14 -> 21 [size =\"16988160\"]\n  15 [size=\"97105920\", alpha=\"0.10\", expect_size=\"29131776\"] \n  15 -> 18 [size =\"29131776\"]\n  15 -> 21 [size =\"29131776\"]\n  16 [size=\"80244053\", alpha=\"0.13\", expect_size=\"24073216\"] \n  17 [size=\"106181973\", alpha=\"0.12\", expect_size=\"31854592\"] \n  17 -> 18 [size =\"31854592\"]\n  17 -> 19 [size =\"31854592\"]\n  17 -> 20 [size =\"31854592\"]\n  18 [size=\"30405973\", alpha=\"0.09\", expect_size=\"9121792\"] \n  18 -> 25 [size =\"9121792\"]\n  19 [size=\"84241067\", alpha=\"0.10\", expect_size=\"25272320\"] \n  19 -> 22 [size =\"25272320\"]\n  20 [size=\"157023573\", alpha=\"0.06\", expect_size=\"47107072\"] \n  20 -> 22 [size =\"47107072\"]\n  20 -> 24 [size =\"47107072\"]\n  21 [size=\"27385173\", alpha=\"0.14\", expect_size=\"8215552\"] \n  21 -> 23 [size =\"8215552\"]\n  22 [size=\"26289493\", alpha=\"0.17\", expect_size=\"7886848\"] \n  23 [size=\"36696747\", alpha=\"0.12\", expect_size=\"11009024\"] \n  24 [size=\"170984107\", alpha=\"0.13\", expect_size=\"51295232\"] \n  25 [size=\"87848960\", alpha=\"0.12\", expect_size=\"26354688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130304000\", alpha=\"0.12\", expect_size=\"52121600\"] \n  1 -> 2 [size =\"52121600\"]\n  2 [size=\"66616320\", alpha=\"0.18\", expect_size=\"26646528\"] \n  2 -> 3 [size =\"26646528\"]\n  3 [size=\"18908160\", alpha=\"0.18\", expect_size=\"7563264\"] \n  3 -> 4 [size =\"7563264\"]\n  4 [size=\"45253120\", alpha=\"0.12\", expect_size=\"18101248\"] \n  4 -> 5 [size =\"18101248\"]\n  5 [size=\"122664960\", alpha=\"0.06\", expect_size=\"49065984\"] \n  5 -> 6 [size =\"49065984\"]\n  6 [size=\"122370560\", alpha=\"0.02\", expect_size=\"48948224\"] \n  6 -> 7 [size =\"48948224\"]\n  7 [size=\"48642560\", alpha=\"0.15\", expect_size=\"19457024\"] \n  7 -> 8 [size =\"19457024\"]\n  8 [size=\"112629760\", alpha=\"0.18\", expect_size=\"45051904\"] \n  8 -> 9 [size =\"45051904\"]\n  9 [size=\"106009600\", alpha=\"0.09\", expect_size=\"42403840\"] \n  9 -> 10 [size =\"42403840\"]\n  10 [size=\"88253440\", alpha=\"0.07\", expect_size=\"35301376\"] \n  10 -> 11 [size =\"35301376\"]\n  11 [size=\"22497280\", alpha=\"0.10\", expect_size=\"8998912\"] \n  11 -> 12 [size =\"8998912\"]\n  12 [size=\"95741440\", alpha=\"0.08\", expect_size=\"38296576\"] \n  12 -> 13 [size =\"38296576\"]\n  13 [size=\"83253760\", alpha=\"0.07\", expect_size=\"33301504\"] \n  13 -> 14 [size =\"33301504\"]\n  14 [size=\"73648640\", alpha=\"0.16\", expect_size=\"29459456\"] \n  14 -> 15 [size =\"29459456\"]\n  15 [size=\"27852800\", alpha=\"0.11\", expect_size=\"11141120\"] \n  15 -> 16 [size =\"11141120\"]\n  16 [size=\"60636160\", alpha=\"0.10\", expect_size=\"24254464\"] \n  16 -> 17 [size =\"24254464\"]\n  17 [size=\"72773120\", alpha=\"0.03\", expect_size=\"29109248\"] \n  17 -> 18 [size =\"29109248\"]\n  18 [size=\"45452800\", alpha=\"0.15\", expect_size=\"18181120\"] \n  18 -> 19 [size =\"18181120\"]\n  19 [size=\"36416000\", alpha=\"0.18\", expect_size=\"14566400\"] \n  19 -> 20 [size =\"14566400\"]\n  20 [size=\"91107840\", alpha=\"0.06\", expect_size=\"36443136\"] \n  20 -> 21 [size =\"36443136\"]\n  21 [size=\"15045120\", alpha=\"0.13\", expect_size=\"6018048\"] \n  21 -> 22 [size =\"6018048\"]\n  22 [size=\"73036800\", alpha=\"0.10\", expect_size=\"29214720\"] \n  22 -> 23 [size =\"29214720\"]\n  23 [size=\"117365760\", alpha=\"0.08\", expect_size=\"46946304\"] \n  23 -> 24 [size =\"46946304\"]\n  24 [size=\"41431040\", alpha=\"0.11\", expect_size=\"16572416\"] \n  24 -> 25 [size =\"16572416\"]\n  25 [size=\"16872960\", alpha=\"0.13\", expect_size=\"6749184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59770880\", alpha=\"0.13\", expect_size=\"23908352\"] \n  2 [size=\"100177920\", alpha=\"0.13\", expect_size=\"40071168\"] \n  3 [size=\"46430720\", alpha=\"0.09\", expect_size=\"18572288\"] \n  3 -> 6 [size =\"18572288\"]\n  3 -> 7 [size =\"18572288\"]\n  4 [size=\"47098880\", alpha=\"0.06\", expect_size=\"18839552\"] \n  4 -> 7 [size =\"18839552\"]\n  4 -> 7 [size =\"18839552\"]\n  5 [size=\"117455360\", alpha=\"0.19\", expect_size=\"46982144\"] \n  5 -> 8 [size =\"46982144\"]\n  6 [size=\"88614400\", alpha=\"0.08\", expect_size=\"35445760\"] \n  6 -> 10 [size =\"35445760\"]\n  7 [size=\"124213760\", alpha=\"0.00\", expect_size=\"49685504\"] \n  7 -> 9 [size =\"49685504\"]\n  8 [size=\"86991360\", alpha=\"0.02\", expect_size=\"34796544\"] \n  9 [size=\"64552960\", alpha=\"0.05\", expect_size=\"25821184\"] \n  9 -> 11 [size =\"25821184\"]\n  9 -> 12 [size =\"25821184\"]\n  9 -> 13 [size =\"25821184\"]\n  9 -> 15 [size =\"25821184\"]\n  10 [size=\"48092160\", alpha=\"0.17\", expect_size=\"19236864\"] \n  10 -> 14 [size =\"19236864\"]\n  11 [size=\"33300480\", alpha=\"0.13\", expect_size=\"13320192\"] \n  11 -> 18 [size =\"13320192\"]\n  12 [size=\"111449600\", alpha=\"0.16\", expect_size=\"44579840\"] \n  12 -> 16 [size =\"44579840\"]\n  13 [size=\"72811520\", alpha=\"0.19\", expect_size=\"29124608\"] \n  14 [size=\"126553600\", alpha=\"0.02\", expect_size=\"50621440\"] \n  14 -> 17 [size =\"50621440\"]\n  15 [size=\"46707200\", alpha=\"0.06\", expect_size=\"18682880\"] \n  15 -> 17 [size =\"18682880\"]\n  15 -> 18 [size =\"18682880\"]\n  16 [size=\"40752640\", alpha=\"0.18\", expect_size=\"16301056\"] \n  16 -> 19 [size =\"16301056\"]\n  16 -> 20 [size =\"16301056\"]\n  17 [size=\"86973440\", alpha=\"0.19\", expect_size=\"34789376\"] \n  17 -> 21 [size =\"34789376\"]\n  18 [size=\"86993920\", alpha=\"0.19\", expect_size=\"34797568\"] \n  18 -> 20 [size =\"34797568\"]\n  18 -> 22 [size =\"34797568\"]\n  19 [size=\"100247040\", alpha=\"0.08\", expect_size=\"40098816\"] \n  19 -> 23 [size =\"40098816\"]\n  20 [size=\"128499200\", alpha=\"0.02\", expect_size=\"51399680\"] \n  20 -> 23 [size =\"51399680\"]\n  20 -> 25 [size =\"51399680\"]\n  21 [size=\"113320960\", alpha=\"0.05\", expect_size=\"45328384\"] \n  21 -> 24 [size =\"45328384\"]\n  22 [size=\"71429120\", alpha=\"0.03\", expect_size=\"28571648\"] \n  22 -> 25 [size =\"28571648\"]\n  23 [size=\"46594560\", alpha=\"0.06\", expect_size=\"18637824\"] \n  24 [size=\"38725120\", alpha=\"0.15\", expect_size=\"15490048\"] \n  25 [size=\"51819520\", alpha=\"0.01\", expect_size=\"20727808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122734080\", alpha=\"0.19\", expect_size=\"49093632\"] \n  1 -> 2 [size =\"49093632\"]\n  2 [size=\"53872640\", alpha=\"0.08\", expect_size=\"21549056\"] \n  2 -> 3 [size =\"21549056\"]\n  3 [size=\"57756160\", alpha=\"0.03\", expect_size=\"23102464\"] \n  3 -> 4 [size =\"23102464\"]\n  4 [size=\"117726720\", alpha=\"0.14\", expect_size=\"47090688\"] \n  4 -> 5 [size =\"47090688\"]\n  5 [size=\"130224640\", alpha=\"0.12\", expect_size=\"52089856\"] \n  5 -> 6 [size =\"52089856\"]\n  6 [size=\"111710720\", alpha=\"0.12\", expect_size=\"44684288\"] \n  6 -> 7 [size =\"44684288\"]\n  7 [size=\"110379520\", alpha=\"0.05\", expect_size=\"44151808\"] \n  7 -> 8 [size =\"44151808\"]\n  8 [size=\"38584320\", alpha=\"0.09\", expect_size=\"15433728\"] \n  8 -> 9 [size =\"15433728\"]\n  9 [size=\"124664320\", alpha=\"0.16\", expect_size=\"49865728\"] \n  9 -> 10 [size =\"49865728\"]\n  10 [size=\"75409920\", alpha=\"0.14\", expect_size=\"30163968\"] \n  10 -> 11 [size =\"30163968\"]\n  11 [size=\"120322560\", alpha=\"0.14\", expect_size=\"48129024\"] \n  11 -> 12 [size =\"48129024\"]\n  12 [size=\"111738880\", alpha=\"0.08\", expect_size=\"44695552\"] \n  12 -> 13 [size =\"44695552\"]\n  13 [size=\"39541760\", alpha=\"0.06\", expect_size=\"15816704\"] \n  13 -> 14 [size =\"15816704\"]\n  14 [size=\"54812160\", alpha=\"0.19\", expect_size=\"21924864\"] \n  14 -> 15 [size =\"21924864\"]\n  15 [size=\"21045760\", alpha=\"0.01\", expect_size=\"8418304\"] \n  15 -> 16 [size =\"8418304\"]\n  16 [size=\"93150720\", alpha=\"0.19\", expect_size=\"37260288\"] \n  16 -> 17 [size =\"37260288\"]\n  17 [size=\"45393920\", alpha=\"0.05\", expect_size=\"18157568\"] \n  17 -> 18 [size =\"18157568\"]\n  18 [size=\"73786880\", alpha=\"0.04\", expect_size=\"29514752\"] \n  18 -> 19 [size =\"29514752\"]\n  19 [size=\"129103360\", alpha=\"0.18\", expect_size=\"51641344\"] \n  19 -> 20 [size =\"51641344\"]\n  20 [size=\"107619840\", alpha=\"0.13\", expect_size=\"43047936\"] \n  20 -> 21 [size =\"43047936\"]\n  21 [size=\"74209280\", alpha=\"0.07\", expect_size=\"29683712\"] \n  21 -> 22 [size =\"29683712\"]\n  22 [size=\"41080320\", alpha=\"0.07\", expect_size=\"16432128\"] \n  22 -> 23 [size =\"16432128\"]\n  23 [size=\"87137280\", alpha=\"0.15\", expect_size=\"34854912\"] \n  23 -> 24 [size =\"34854912\"]\n  24 [size=\"124400640\", alpha=\"0.01\", expect_size=\"49760256\"] \n  24 -> 25 [size =\"49760256\"]\n  25 [size=\"117181440\", alpha=\"0.07\", expect_size=\"46872576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42479616\", alpha=\"0.01\", expect_size=\"21239808\"] \n  1 -> 23 [size =\"21239808\"]\n  2 [size=\"59242496\", alpha=\"0.02\", expect_size=\"29621248\"] \n  3 [size=\"57423872\", alpha=\"0.06\", expect_size=\"28711936\"] \n  4 [size=\"85458944\", alpha=\"0.10\", expect_size=\"42729472\"] \n  4 -> 21 [size =\"42729472\"]\n  5 [size=\"21145600\", alpha=\"0.10\", expect_size=\"10572800\"] \n  5 -> 23 [size =\"10572800\"]\n  6 [size=\"80138240\", alpha=\"0.11\", expect_size=\"40069120\"] \n  6 -> 21 [size =\"40069120\"]\n  7 [size=\"102164480\", alpha=\"0.19\", expect_size=\"51082240\"] \n  7 -> 21 [size =\"51082240\"]\n  7 -> 23 [size =\"51082240\"]\n  7 -> 24 [size =\"51082240\"]\n  7 -> 25 [size =\"51082240\"]\n  8 [size=\"68509696\", alpha=\"0.17\", expect_size=\"34254848\"] \n  8 -> 21 [size =\"34254848\"]\n  8 -> 23 [size =\"34254848\"]\n  8 -> 25 [size =\"34254848\"]\n  9 [size=\"94558208\", alpha=\"0.00\", expect_size=\"47279104\"] \n  9 -> 21 [size =\"47279104\"]\n  9 -> 23 [size =\"47279104\"]\n  10 [size=\"82421760\", alpha=\"0.15\", expect_size=\"41210880\"] \n  10 -> 21 [size =\"41210880\"]\n  10 -> 24 [size =\"41210880\"]\n  10 -> 25 [size =\"41210880\"]\n  11 [size=\"42192896\", alpha=\"0.08\", expect_size=\"21096448\"] \n  11 -> 21 [size =\"21096448\"]\n  12 [size=\"47650816\", alpha=\"0.14\", expect_size=\"23825408\"] \n  12 -> 21 [size =\"23825408\"]\n  12 -> 23 [size =\"23825408\"]\n  13 [size=\"54953984\", alpha=\"0.04\", expect_size=\"27476992\"] \n  13 -> 23 [size =\"27476992\"]\n  13 -> 24 [size =\"27476992\"]\n  14 [size=\"81188864\", alpha=\"0.20\", expect_size=\"40594432\"] \n  14 -> 21 [size =\"40594432\"]\n  14 -> 23 [size =\"40594432\"]\n  15 [size=\"33243136\", alpha=\"0.06\", expect_size=\"16621568\"] \n  15 -> 24 [size =\"16621568\"]\n  15 -> 25 [size =\"16621568\"]\n  16 [size=\"82073600\", alpha=\"0.18\", expect_size=\"41036800\"] \n  16 -> 22 [size =\"41036800\"]\n  16 -> 25 [size =\"41036800\"]\n  17 [size=\"38223872\", alpha=\"0.11\", expect_size=\"19111936\"] \n  17 -> 23 [size =\"19111936\"]\n  18 [size=\"34017280\", alpha=\"0.07\", expect_size=\"17008640\"] \n  18 -> 23 [size =\"17008640\"]\n  19 [size=\"21176320\", alpha=\"0.13\", expect_size=\"10588160\"] \n  19 -> 21 [size =\"10588160\"]\n  20 [size=\"21383168\", alpha=\"0.05\", expect_size=\"10691584\"] \n  21 [size=\"91824128\", alpha=\"0.03\", expect_size=\"45912064\"] \n  22 [size=\"34111488\", alpha=\"0.12\", expect_size=\"17055744\"] \n  23 [size=\"100974592\", alpha=\"0.11\", expect_size=\"50487296\"] \n  24 [size=\"26542080\", alpha=\"0.05\", expect_size=\"13271040\"] \n  25 [size=\"25690112\", alpha=\"0.02\", expect_size=\"12845056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62272853\", alpha=\"0.19\", expect_size=\"18681856\"] \n  1 -> 9 [size =\"18681856\"]\n  1 -> 11 [size =\"18681856\"]\n  2 [size=\"24603307\", alpha=\"0.02\", expect_size=\"7380992\"] \n  2 -> 10 [size =\"7380992\"]\n  3 [size=\"45185707\", alpha=\"0.12\", expect_size=\"13555712\"] \n  3 -> 10 [size =\"13555712\"]\n  3 -> 11 [size =\"13555712\"]\n  3 -> 12 [size =\"13555712\"]\n  3 -> 13 [size =\"13555712\"]\n  4 [size=\"31208107\", alpha=\"0.02\", expect_size=\"9362432\"] \n  4 -> 9 [size =\"9362432\"]\n  4 -> 10 [size =\"9362432\"]\n  4 -> 14 [size =\"9362432\"]\n  4 -> 15 [size =\"9362432\"]\n  5 [size=\"52387840\", alpha=\"0.05\", expect_size=\"15716352\"] \n  5 -> 9 [size =\"15716352\"]\n  5 -> 10 [size =\"15716352\"]\n  5 -> 11 [size =\"15716352\"]\n  5 -> 15 [size =\"15716352\"]\n  5 -> 16 [size =\"15716352\"]\n  6 [size=\"95040853\", alpha=\"0.12\", expect_size=\"28512256\"] \n  6 -> 9 [size =\"28512256\"]\n  6 -> 10 [size =\"28512256\"]\n  6 -> 12 [size =\"28512256\"]\n  6 -> 16 [size =\"28512256\"]\n  6 -> 16 [size =\"28512256\"]\n  7 [size=\"141421227\", alpha=\"0.17\", expect_size=\"42426368\"] \n  7 -> 9 [size =\"42426368\"]\n  7 -> 10 [size =\"42426368\"]\n  7 -> 11 [size =\"42426368\"]\n  8 [size=\"62347947\", alpha=\"0.16\", expect_size=\"18704384\"] \n  8 -> 9 [size =\"18704384\"]\n  8 -> 11 [size =\"18704384\"]\n  8 -> 14 [size =\"18704384\"]\n  9 [size=\"47711573\", alpha=\"0.18\", expect_size=\"14313472\"] \n  9 -> 18 [size =\"14313472\"]\n  9 -> 19 [size =\"14313472\"]\n  9 -> 20 [size =\"14313472\"]\n  9 -> 25 [size =\"14313472\"]\n  10 [size=\"148193280\", alpha=\"0.06\", expect_size=\"44457984\"] \n  10 -> 19 [size =\"44457984\"]\n  10 -> 22 [size =\"44457984\"]\n  10 -> 24 [size =\"44457984\"]\n  11 [size=\"139851093\", alpha=\"0.04\", expect_size=\"41955328\"] \n  11 -> 18 [size =\"41955328\"]\n  11 -> 19 [size =\"41955328\"]\n  11 -> 21 [size =\"41955328\"]\n  11 -> 24 [size =\"41955328\"]\n  12 [size=\"133758293\", alpha=\"0.18\", expect_size=\"40127488\"] \n  12 -> 18 [size =\"40127488\"]\n  12 -> 19 [size =\"40127488\"]\n  12 -> 23 [size =\"40127488\"]\n  12 -> 24 [size =\"40127488\"]\n  13 [size=\"151319893\", alpha=\"0.14\", expect_size=\"45395968\"] \n  13 -> 18 [size =\"45395968\"]\n  13 -> 19 [size =\"45395968\"]\n  13 -> 21 [size =\"45395968\"]\n  13 -> 24 [size =\"45395968\"]\n  14 [size=\"91849387\", alpha=\"0.16\", expect_size=\"27554816\"] \n  14 -> 17 [size =\"27554816\"]\n  14 -> 18 [size =\"27554816\"]\n  14 -> 25 [size =\"27554816\"]\n  15 [size=\"107608747\", alpha=\"0.13\", expect_size=\"32282624\"] \n  15 -> 17 [size =\"32282624\"]\n  15 -> 19 [size =\"32282624\"]\n  16 [size=\"150231040\", alpha=\"0.01\", expect_size=\"45069312\"] \n  16 -> 25 [size =\"45069312\"]\n  17 [size=\"90613760\", alpha=\"0.18\", expect_size=\"27184128\"] \n  18 [size=\"68952747\", alpha=\"0.04\", expect_size=\"20685824\"] \n  19 [size=\"40011093\", alpha=\"0.18\", expect_size=\"12003328\"] \n  20 [size=\"23657813\", alpha=\"0.01\", expect_size=\"7097344\"] \n  21 [size=\"70283947\", alpha=\"0.10\", expect_size=\"21085184\"] \n  22 [size=\"105352533\", alpha=\"0.00\", expect_size=\"31605760\"] \n  23 [size=\"88241493\", alpha=\"0.13\", expect_size=\"26472448\"] \n  24 [size=\"39355733\", alpha=\"0.08\", expect_size=\"11806720\"] \n  25 [size=\"163000320\", alpha=\"0.08\", expect_size=\"48900096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54964907\", alpha=\"0.17\", expect_size=\"16489472\"] \n  2 [size=\"45144747\", alpha=\"0.18\", expect_size=\"13543424\"] \n  2 -> 3 [size =\"13543424\"]\n  2 -> 4 [size =\"13543424\"]\n  3 [size=\"136758613\", alpha=\"0.15\", expect_size=\"41027584\"] \n  3 -> 5 [size =\"41027584\"]\n  3 -> 6 [size =\"41027584\"]\n  4 [size=\"60122453\", alpha=\"0.01\", expect_size=\"18036736\"] \n  4 -> 5 [size =\"18036736\"]\n  4 -> 6 [size =\"18036736\"]\n  5 [size=\"152784213\", alpha=\"0.01\", expect_size=\"45835264\"] \n  5 -> 7 [size =\"45835264\"]\n  5 -> 8 [size =\"45835264\"]\n  6 [size=\"101730987\", alpha=\"0.12\", expect_size=\"30519296\"] \n  6 -> 7 [size =\"30519296\"]\n  6 -> 8 [size =\"30519296\"]\n  7 [size=\"89132373\", alpha=\"0.10\", expect_size=\"26739712\"] \n  7 -> 9 [size =\"26739712\"]\n  8 [size=\"130235733\", alpha=\"0.04\", expect_size=\"39070720\"] \n  8 -> 9 [size =\"39070720\"]\n  9 [size=\"26193920\", alpha=\"0.13\", expect_size=\"7858176\"] \n  9 -> 10 [size =\"7858176\"]\n  9 -> 11 [size =\"7858176\"]\n  10 [size=\"164891307\", alpha=\"0.05\", expect_size=\"49467392\"] \n  10 -> 12 [size =\"49467392\"]\n  11 [size=\"107001173\", alpha=\"0.01\", expect_size=\"32100352\"] \n  12 [size=\"86405120\", alpha=\"0.06\", expect_size=\"25921536\"] \n  12 -> 13 [size =\"25921536\"]\n  13 [size=\"68256427\", alpha=\"0.08\", expect_size=\"20476928\"] \n  13 -> 14 [size =\"20476928\"]\n  13 -> 15 [size =\"20476928\"]\n  14 [size=\"25968640\", alpha=\"0.13\", expect_size=\"7790592\"] \n  14 -> 16 [size =\"7790592\"]\n  15 [size=\"36713813\", alpha=\"0.13\", expect_size=\"11014144\"] \n  15 -> 16 [size =\"11014144\"]\n  16 [size=\"44021760\", alpha=\"0.08\", expect_size=\"13206528\"] \n  16 -> 17 [size =\"13206528\"]\n  17 [size=\"137891840\", alpha=\"0.08\", expect_size=\"41367552\"] \n  17 -> 18 [size =\"41367552\"]\n  18 [size=\"58876587\", alpha=\"0.14\", expect_size=\"17662976\"] \n  18 -> 19 [size =\"17662976\"]\n  18 -> 20 [size =\"17662976\"]\n  19 [size=\"93166933\", alpha=\"0.06\", expect_size=\"27950080\"] \n  19 -> 21 [size =\"27950080\"]\n  20 [size=\"39888213\", alpha=\"0.02\", expect_size=\"11966464\"] \n  20 -> 21 [size =\"11966464\"]\n  21 [size=\"77936640\", alpha=\"0.03\", expect_size=\"23380992\"] \n  21 -> 22 [size =\"23380992\"]\n  21 -> 23 [size =\"23380992\"]\n  22 [size=\"83961173\", alpha=\"0.07\", expect_size=\"25188352\"] \n  22 -> 24 [size =\"25188352\"]\n  23 [size=\"131194880\", alpha=\"0.06\", expect_size=\"39358464\"] \n  23 -> 24 [size =\"39358464\"]\n  23 -> 25 [size =\"39358464\"]\n  24 [size=\"36887893\", alpha=\"0.11\", expect_size=\"11066368\"] \n  25 [size=\"136055467\", alpha=\"0.13\", expect_size=\"40816640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136519680\", alpha=\"0.10\", expect_size=\"40955904\"] \n  1 -> 2 [size =\"40955904\"]\n  2 [size=\"29750613\", alpha=\"0.06\", expect_size=\"8925184\"] \n  2 -> 3 [size =\"8925184\"]\n  3 [size=\"171120640\", alpha=\"0.10\", expect_size=\"51336192\"] \n  3 -> 4 [size =\"51336192\"]\n  4 [size=\"24528213\", alpha=\"0.07\", expect_size=\"7358464\"] \n  4 -> 5 [size =\"7358464\"]\n  5 [size=\"23388160\", alpha=\"0.13\", expect_size=\"7016448\"] \n  5 -> 6 [size =\"7016448\"]\n  6 [size=\"105014613\", alpha=\"0.19\", expect_size=\"31504384\"] \n  6 -> 7 [size =\"31504384\"]\n  7 [size=\"136096427\", alpha=\"0.00\", expect_size=\"40828928\"] \n  7 -> 8 [size =\"40828928\"]\n  8 [size=\"146595840\", alpha=\"0.17\", expect_size=\"43978752\"] \n  8 -> 9 [size =\"43978752\"]\n  9 [size=\"32392533\", alpha=\"0.16\", expect_size=\"9717760\"] \n  9 -> 10 [size =\"9717760\"]\n  10 [size=\"113370453\", alpha=\"0.13\", expect_size=\"34011136\"] \n  10 -> 11 [size =\"34011136\"]\n  11 [size=\"147339947\", alpha=\"0.16\", expect_size=\"44201984\"] \n  11 -> 12 [size =\"44201984\"]\n  12 [size=\"67034453\", alpha=\"0.20\", expect_size=\"20110336\"] \n  12 -> 13 [size =\"20110336\"]\n  13 [size=\"116404907\", alpha=\"0.04\", expect_size=\"34921472\"] \n  13 -> 14 [size =\"34921472\"]\n  14 [size=\"33918293\", alpha=\"0.02\", expect_size=\"10175488\"] \n  14 -> 15 [size =\"10175488\"]\n  15 [size=\"85067093\", alpha=\"0.07\", expect_size=\"25520128\"] \n  15 -> 16 [size =\"25520128\"]\n  16 [size=\"32368640\", alpha=\"0.09\", expect_size=\"9710592\"] \n  16 -> 17 [size =\"9710592\"]\n  17 [size=\"23227733\", alpha=\"0.17\", expect_size=\"6968320\"] \n  17 -> 18 [size =\"6968320\"]\n  18 [size=\"25978880\", alpha=\"0.18\", expect_size=\"7793664\"] \n  18 -> 19 [size =\"7793664\"]\n  19 [size=\"160672427\", alpha=\"0.18\", expect_size=\"48201728\"] \n  19 -> 20 [size =\"48201728\"]\n  20 [size=\"126023680\", alpha=\"0.13\", expect_size=\"37807104\"] \n  20 -> 21 [size =\"37807104\"]\n  21 [size=\"69693440\", alpha=\"0.02\", expect_size=\"20908032\"] \n  21 -> 22 [size =\"20908032\"]\n  22 [size=\"40628907\", alpha=\"0.14\", expect_size=\"12188672\"] \n  22 -> 23 [size =\"12188672\"]\n  23 [size=\"38768640\", alpha=\"0.04\", expect_size=\"11630592\"] \n  23 -> 24 [size =\"11630592\"]\n  24 [size=\"73007787\", alpha=\"0.16\", expect_size=\"21902336\"] \n  24 -> 25 [size =\"21902336\"]\n  25 [size=\"90978987\", alpha=\"0.08\", expect_size=\"27293696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68160000\", alpha=\"0.13\", expect_size=\"27264000\"] \n  1 -> 2 [size =\"27264000\"]\n  2 [size=\"110558720\", alpha=\"0.12\", expect_size=\"44223488\"] \n  2 -> 3 [size =\"44223488\"]\n  3 [size=\"21790720\", alpha=\"0.13\", expect_size=\"8716288\"] \n  3 -> 4 [size =\"8716288\"]\n  3 -> 5 [size =\"8716288\"]\n  4 [size=\"35957760\", alpha=\"0.17\", expect_size=\"14383104\"] \n  4 -> 6 [size =\"14383104\"]\n  4 -> 7 [size =\"14383104\"]\n  5 [size=\"41103360\", alpha=\"0.10\", expect_size=\"16441344\"] \n  5 -> 6 [size =\"16441344\"]\n  5 -> 7 [size =\"16441344\"]\n  6 [size=\"54164480\", alpha=\"0.15\", expect_size=\"21665792\"] \n  6 -> 8 [size =\"21665792\"]\n  6 -> 9 [size =\"21665792\"]\n  7 [size=\"19054080\", alpha=\"0.11\", expect_size=\"7621632\"] \n  7 -> 9 [size =\"7621632\"]\n  8 [size=\"43560960\", alpha=\"0.20\", expect_size=\"17424384\"] \n  8 -> 10 [size =\"17424384\"]\n  9 [size=\"123758080\", alpha=\"0.12\", expect_size=\"49503232\"] \n  9 -> 10 [size =\"49503232\"]\n  10 [size=\"122575360\", alpha=\"0.13\", expect_size=\"49030144\"] \n  10 -> 11 [size =\"49030144\"]\n  10 -> 12 [size =\"49030144\"]\n  11 [size=\"60482560\", alpha=\"0.10\", expect_size=\"24193024\"] \n  11 -> 13 [size =\"24193024\"]\n  12 [size=\"18657280\", alpha=\"0.01\", expect_size=\"7462912\"] \n  12 -> 13 [size =\"7462912\"]\n  13 [size=\"90060800\", alpha=\"0.02\", expect_size=\"36024320\"] \n  13 -> 14 [size =\"36024320\"]\n  13 -> 15 [size =\"36024320\"]\n  14 [size=\"49177600\", alpha=\"0.14\", expect_size=\"19671040\"] \n  14 -> 17 [size =\"19671040\"]\n  15 [size=\"31966720\", alpha=\"0.09\", expect_size=\"12786688\"] \n  15 -> 16 [size =\"12786688\"]\n  15 -> 17 [size =\"12786688\"]\n  16 [size=\"92610560\", alpha=\"0.12\", expect_size=\"37044224\"] \n  16 -> 18 [size =\"37044224\"]\n  17 [size=\"65989120\", alpha=\"0.05\", expect_size=\"26395648\"] \n  17 -> 18 [size =\"26395648\"]\n  17 -> 19 [size =\"26395648\"]\n  18 [size=\"13788160\", alpha=\"0.17\", expect_size=\"5515264\"] \n  18 -> 20 [size =\"5515264\"]\n  18 -> 21 [size =\"5515264\"]\n  19 [size=\"13616640\", alpha=\"0.07\", expect_size=\"5446656\"] \n  19 -> 20 [size =\"5446656\"]\n  19 -> 21 [size =\"5446656\"]\n  20 [size=\"82946560\", alpha=\"0.14\", expect_size=\"33178624\"] \n  20 -> 22 [size =\"33178624\"]\n  20 -> 23 [size =\"33178624\"]\n  21 [size=\"39618560\", alpha=\"0.10\", expect_size=\"15847424\"] \n  21 -> 22 [size =\"15847424\"]\n  21 -> 23 [size =\"15847424\"]\n  22 [size=\"96675840\", alpha=\"0.04\", expect_size=\"38670336\"] \n  22 -> 24 [size =\"38670336\"]\n  23 [size=\"100472320\", alpha=\"0.18\", expect_size=\"40188928\"] \n  24 [size=\"113845760\", alpha=\"0.17\", expect_size=\"45538304\"] \n  24 -> 25 [size =\"45538304\"]\n  25 [size=\"75944960\", alpha=\"0.20\", expect_size=\"30377984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78336000\", alpha=\"0.13\", expect_size=\"23500800\"] \n  1 -> 3 [size =\"23500800\"]\n  2 [size=\"127969280\", alpha=\"0.20\", expect_size=\"38390784\"] \n  2 -> 3 [size =\"38390784\"]\n  2 -> 4 [size =\"38390784\"]\n  3 [size=\"148787200\", alpha=\"0.03\", expect_size=\"44636160\"] \n  4 [size=\"174588587\", alpha=\"0.19\", expect_size=\"52376576\"] \n  4 -> 5 [size =\"52376576\"]\n  5 [size=\"82401280\", alpha=\"0.15\", expect_size=\"24720384\"] \n  5 -> 6 [size =\"24720384\"]\n  5 -> 7 [size =\"24720384\"]\n  6 [size=\"36229120\", alpha=\"0.12\", expect_size=\"10868736\"] \n  7 [size=\"99201707\", alpha=\"0.01\", expect_size=\"29760512\"] \n  7 -> 8 [size =\"29760512\"]\n  8 [size=\"25296213\", alpha=\"0.08\", expect_size=\"7588864\"] \n  8 -> 9 [size =\"7588864\"]\n  9 [size=\"84360533\", alpha=\"0.04\", expect_size=\"25308160\"] \n  9 -> 10 [size =\"25308160\"]\n  10 [size=\"165044907\", alpha=\"0.12\", expect_size=\"49513472\"] \n  10 -> 11 [size =\"49513472\"]\n  10 -> 12 [size =\"49513472\"]\n  11 [size=\"139451733\", alpha=\"0.02\", expect_size=\"41835520\"] \n  11 -> 13 [size =\"41835520\"]\n  12 [size=\"85695147\", alpha=\"0.07\", expect_size=\"25708544\"] \n  12 -> 13 [size =\"25708544\"]\n  12 -> 14 [size =\"25708544\"]\n  13 [size=\"83937280\", alpha=\"0.19\", expect_size=\"25181184\"] \n  13 -> 15 [size =\"25181184\"]\n  14 [size=\"109602133\", alpha=\"0.04\", expect_size=\"32880640\"] \n  15 [size=\"99314347\", alpha=\"0.19\", expect_size=\"29794304\"] \n  15 -> 16 [size =\"29794304\"]\n  16 [size=\"62122667\", alpha=\"0.02\", expect_size=\"18636800\"] \n  16 -> 17 [size =\"18636800\"]\n  16 -> 18 [size =\"18636800\"]\n  17 [size=\"157716480\", alpha=\"0.09\", expect_size=\"47314944\"] \n  17 -> 19 [size =\"47314944\"]\n  17 -> 20 [size =\"47314944\"]\n  18 [size=\"163908267\", alpha=\"0.07\", expect_size=\"49172480\"] \n  18 -> 19 [size =\"49172480\"]\n  18 -> 20 [size =\"49172480\"]\n  19 [size=\"68065280\", alpha=\"0.03\", expect_size=\"20419584\"] \n  19 -> 21 [size =\"20419584\"]\n  19 -> 22 [size =\"20419584\"]\n  20 [size=\"97266347\", alpha=\"0.00\", expect_size=\"29179904\"] \n  20 -> 21 [size =\"29179904\"]\n  20 -> 22 [size =\"29179904\"]\n  21 [size=\"31429973\", alpha=\"0.05\", expect_size=\"9428992\"] \n  21 -> 23 [size =\"9428992\"]\n  22 [size=\"49807360\", alpha=\"0.04\", expect_size=\"14942208\"] \n  22 -> 23 [size =\"14942208\"]\n  23 [size=\"102495573\", alpha=\"0.20\", expect_size=\"30748672\"] \n  23 -> 24 [size =\"30748672\"]\n  24 [size=\"95109120\", alpha=\"0.15\", expect_size=\"28532736\"] \n  24 -> 25 [size =\"28532736\"]\n  25 [size=\"127351467\", alpha=\"0.19\", expect_size=\"38205440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22751232\", alpha=\"0.03\", expect_size=\"11375616\"] \n  1 -> 2 [size =\"11375616\"]\n  2 [size=\"22710272\", alpha=\"0.10\", expect_size=\"11355136\"] \n  2 -> 3 [size =\"11355136\"]\n  3 [size=\"27197440\", alpha=\"0.19\", expect_size=\"13598720\"] \n  3 -> 4 [size =\"13598720\"]\n  4 [size=\"25925632\", alpha=\"0.13\", expect_size=\"12962816\"] \n  4 -> 5 [size =\"12962816\"]\n  5 [size=\"87832576\", alpha=\"0.06\", expect_size=\"43916288\"] \n  5 -> 6 [size =\"43916288\"]\n  6 [size=\"90017792\", alpha=\"0.01\", expect_size=\"45008896\"] \n  6 -> 7 [size =\"45008896\"]\n  7 [size=\"99495936\", alpha=\"0.01\", expect_size=\"49747968\"] \n  7 -> 8 [size =\"49747968\"]\n  8 [size=\"35141632\", alpha=\"0.09\", expect_size=\"17570816\"] \n  8 -> 9 [size =\"17570816\"]\n  9 [size=\"28078080\", alpha=\"0.06\", expect_size=\"14039040\"] \n  9 -> 10 [size =\"14039040\"]\n  10 [size=\"12050432\", alpha=\"0.08\", expect_size=\"6025216\"] \n  10 -> 11 [size =\"6025216\"]\n  11 [size=\"66881536\", alpha=\"0.06\", expect_size=\"33440768\"] \n  11 -> 12 [size =\"33440768\"]\n  12 [size=\"80742400\", alpha=\"0.17\", expect_size=\"40371200\"] \n  12 -> 13 [size =\"40371200\"]\n  13 [size=\"32686080\", alpha=\"0.09\", expect_size=\"16343040\"] \n  13 -> 14 [size =\"16343040\"]\n  14 [size=\"29272064\", alpha=\"0.06\", expect_size=\"14636032\"] \n  14 -> 15 [size =\"14636032\"]\n  15 [size=\"89020416\", alpha=\"0.05\", expect_size=\"44510208\"] \n  15 -> 16 [size =\"44510208\"]\n  16 [size=\"22939648\", alpha=\"0.12\", expect_size=\"11469824\"] \n  16 -> 17 [size =\"11469824\"]\n  17 [size=\"26826752\", alpha=\"0.12\", expect_size=\"13413376\"] \n  17 -> 18 [size =\"13413376\"]\n  18 [size=\"32358400\", alpha=\"0.06\", expect_size=\"16179200\"] \n  18 -> 19 [size =\"16179200\"]\n  19 [size=\"77121536\", alpha=\"0.20\", expect_size=\"38560768\"] \n  19 -> 20 [size =\"38560768\"]\n  20 [size=\"13142016\", alpha=\"0.11\", expect_size=\"6571008\"] \n  20 -> 21 [size =\"6571008\"]\n  21 [size=\"50894848\", alpha=\"0.05\", expect_size=\"25447424\"] \n  21 -> 22 [size =\"25447424\"]\n  22 [size=\"81094656\", alpha=\"0.02\", expect_size=\"40547328\"] \n  22 -> 23 [size =\"40547328\"]\n  23 [size=\"68149248\", alpha=\"0.02\", expect_size=\"34074624\"] \n  23 -> 24 [size =\"34074624\"]\n  24 [size=\"15247360\", alpha=\"0.06\", expect_size=\"7623680\"] \n  24 -> 25 [size =\"7623680\"]\n  25 [size=\"42240000\", alpha=\"0.06\", expect_size=\"21120000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113487360\", alpha=\"0.03\", expect_size=\"45394944\"] \n  1 -> 14 [size =\"45394944\"]\n  1 -> 15 [size =\"45394944\"]\n  1 -> 17 [size =\"45394944\"]\n  1 -> 18 [size =\"45394944\"]\n  1 -> 20 [size =\"45394944\"]\n  1 -> 21 [size =\"45394944\"]\n  1 -> 23 [size =\"45394944\"]\n  2 [size=\"60505600\", alpha=\"0.19\", expect_size=\"24202240\"] \n  2 -> 16 [size =\"24202240\"]\n  2 -> 18 [size =\"24202240\"]\n  2 -> 20 [size =\"24202240\"]\n  2 -> 21 [size =\"24202240\"]\n  2 -> 23 [size =\"24202240\"]\n  3 [size=\"106641920\", alpha=\"0.18\", expect_size=\"42656768\"] \n  3 -> 20 [size =\"42656768\"]\n  3 -> 21 [size =\"42656768\"]\n  4 [size=\"70005760\", alpha=\"0.15\", expect_size=\"28002304\"] \n  4 -> 21 [size =\"28002304\"]\n  4 -> 24 [size =\"28002304\"]\n  5 [size=\"100428800\", alpha=\"0.03\", expect_size=\"40171520\"] \n  5 -> 14 [size =\"40171520\"]\n  5 -> 19 [size =\"40171520\"]\n  5 -> 21 [size =\"40171520\"]\n  5 -> 24 [size =\"40171520\"]\n  6 [size=\"30389760\", alpha=\"0.13\", expect_size=\"12155904\"] \n  6 -> 22 [size =\"12155904\"]\n  7 [size=\"13655040\", alpha=\"0.08\", expect_size=\"5462016\"] \n  7 -> 13 [size =\"5462016\"]\n  7 -> 15 [size =\"5462016\"]\n  7 -> 18 [size =\"5462016\"]\n  7 -> 20 [size =\"5462016\"]\n  7 -> 22 [size =\"5462016\"]\n  7 -> 24 [size =\"5462016\"]\n  8 [size=\"28241920\", alpha=\"0.18\", expect_size=\"11296768\"] \n  8 -> 13 [size =\"11296768\"]\n  8 -> 15 [size =\"11296768\"]\n  8 -> 16 [size =\"11296768\"]\n  8 -> 17 [size =\"11296768\"]\n  8 -> 20 [size =\"11296768\"]\n  8 -> 24 [size =\"11296768\"]\n  9 [size=\"61990400\", alpha=\"0.00\", expect_size=\"24796160\"] \n  9 -> 13 [size =\"24796160\"]\n  9 -> 14 [size =\"24796160\"]\n  9 -> 15 [size =\"24796160\"]\n  9 -> 16 [size =\"24796160\"]\n  9 -> 18 [size =\"24796160\"]\n  9 -> 20 [size =\"24796160\"]\n  9 -> 21 [size =\"24796160\"]\n  9 -> 24 [size =\"24796160\"]\n  10 [size=\"81602560\", alpha=\"0.00\", expect_size=\"32641024\"] \n  10 -> 14 [size =\"32641024\"]\n  10 -> 15 [size =\"32641024\"]\n  10 -> 22 [size =\"32641024\"]\n  10 -> 24 [size =\"32641024\"]\n  11 [size=\"108395520\", alpha=\"0.12\", expect_size=\"43358208\"] \n  11 -> 14 [size =\"43358208\"]\n  11 -> 15 [size =\"43358208\"]\n  11 -> 20 [size =\"43358208\"]\n  11 -> 24 [size =\"43358208\"]\n  12 [size=\"126837760\", alpha=\"0.06\", expect_size=\"50735104\"] \n  12 -> 13 [size =\"50735104\"]\n  12 -> 14 [size =\"50735104\"]\n  12 -> 18 [size =\"50735104\"]\n  12 -> 21 [size =\"50735104\"]\n  13 [size=\"118607360\", alpha=\"0.12\", expect_size=\"47442944\"] \n  14 [size=\"106739200\", alpha=\"0.16\", expect_size=\"42695680\"] \n  15 [size=\"80051200\", alpha=\"0.20\", expect_size=\"32020480\"] \n  15 -> 25 [size =\"32020480\"]\n  16 [size=\"97720320\", alpha=\"0.13\", expect_size=\"39088128\"] \n  16 -> 25 [size =\"39088128\"]\n  17 [size=\"57090560\", alpha=\"0.00\", expect_size=\"22836224\"] \n  18 [size=\"103690240\", alpha=\"0.17\", expect_size=\"41476096\"] \n  19 [size=\"90257920\", alpha=\"0.20\", expect_size=\"36103168\"] \n  20 [size=\"91548160\", alpha=\"0.03\", expect_size=\"36619264\"] \n  21 [size=\"94315520\", alpha=\"0.03\", expect_size=\"37726208\"] \n  22 [size=\"47592960\", alpha=\"0.11\", expect_size=\"19037184\"] \n  23 [size=\"84897280\", alpha=\"0.15\", expect_size=\"33958912\"] \n  24 [size=\"38551040\", alpha=\"0.08\", expect_size=\"15420416\"] \n  25 [size=\"13493760\", alpha=\"0.17\", expect_size=\"5397504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124999680\", alpha=\"0.16\", expect_size=\"49999872\"] \n  1 -> 3 [size =\"49999872\"]\n  2 [size=\"130744320\", alpha=\"0.06\", expect_size=\"52297728\"] \n  2 -> 3 [size =\"52297728\"]\n  3 [size=\"110484480\", alpha=\"0.02\", expect_size=\"44193792\"] \n  3 -> 4 [size =\"44193792\"]\n  4 [size=\"112796160\", alpha=\"0.06\", expect_size=\"45118464\"] \n  4 -> 5 [size =\"45118464\"]\n  4 -> 6 [size =\"45118464\"]\n  5 [size=\"33909760\", alpha=\"0.01\", expect_size=\"13563904\"] \n  6 [size=\"76372480\", alpha=\"0.14\", expect_size=\"30548992\"] \n  6 -> 7 [size =\"30548992\"]\n  7 [size=\"92631040\", alpha=\"0.02\", expect_size=\"37052416\"] \n  7 -> 8 [size =\"37052416\"]\n  7 -> 9 [size =\"37052416\"]\n  8 [size=\"58631680\", alpha=\"0.05\", expect_size=\"23452672\"] \n  8 -> 10 [size =\"23452672\"]\n  9 [size=\"48622080\", alpha=\"0.13\", expect_size=\"19448832\"] \n  9 -> 10 [size =\"19448832\"]\n  10 [size=\"15838720\", alpha=\"0.18\", expect_size=\"6335488\"] \n  10 -> 11 [size =\"6335488\"]\n  10 -> 12 [size =\"6335488\"]\n  11 [size=\"82616320\", alpha=\"0.04\", expect_size=\"33046528\"] \n  12 [size=\"60011520\", alpha=\"0.13\", expect_size=\"24004608\"] \n  12 -> 13 [size =\"24004608\"]\n  13 [size=\"95800320\", alpha=\"0.04\", expect_size=\"38320128\"] \n  13 -> 14 [size =\"38320128\"]\n  14 [size=\"105748480\", alpha=\"0.05\", expect_size=\"42299392\"] \n  14 -> 15 [size =\"42299392\"]\n  14 -> 16 [size =\"42299392\"]\n  15 [size=\"24284160\", alpha=\"0.09\", expect_size=\"9713664\"] \n  15 -> 17 [size =\"9713664\"]\n  16 [size=\"32860160\", alpha=\"0.16\", expect_size=\"13144064\"] \n  16 -> 17 [size =\"13144064\"]\n  16 -> 18 [size =\"13144064\"]\n  17 [size=\"115246080\", alpha=\"0.14\", expect_size=\"46098432\"] \n  18 [size=\"124144640\", alpha=\"0.18\", expect_size=\"49657856\"] \n  18 -> 19 [size =\"49657856\"]\n  19 [size=\"37683200\", alpha=\"0.13\", expect_size=\"15073280\"] \n  19 -> 20 [size =\"15073280\"]\n  19 -> 21 [size =\"15073280\"]\n  20 [size=\"116656640\", alpha=\"0.19\", expect_size=\"46662656\"] \n  20 -> 22 [size =\"46662656\"]\n  21 [size=\"105633280\", alpha=\"0.03\", expect_size=\"42253312\"] \n  21 -> 22 [size =\"42253312\"]\n  21 -> 23 [size =\"42253312\"]\n  22 [size=\"13447680\", alpha=\"0.08\", expect_size=\"5379072\"] \n  22 -> 24 [size =\"5379072\"]\n  23 [size=\"91102720\", alpha=\"0.09\", expect_size=\"36441088\"] \n  24 [size=\"114782720\", alpha=\"0.07\", expect_size=\"45913088\"] \n  24 -> 25 [size =\"45913088\"]\n  25 [size=\"25382400\", alpha=\"0.08\", expect_size=\"10152960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119405227\", alpha=\"0.09\", expect_size=\"35821568\"] \n  1 -> 3 [size =\"35821568\"]\n  1 -> 4 [size =\"35821568\"]\n  2 [size=\"125750613\", alpha=\"0.13\", expect_size=\"37725184\"] \n  2 -> 3 [size =\"37725184\"]\n  2 -> 4 [size =\"37725184\"]\n  3 [size=\"101802667\", alpha=\"0.11\", expect_size=\"30540800\"] \n  3 -> 5 [size =\"30540800\"]\n  4 [size=\"172707840\", alpha=\"0.15\", expect_size=\"51812352\"] \n  5 [size=\"82688000\", alpha=\"0.06\", expect_size=\"24806400\"] \n  5 -> 6 [size =\"24806400\"]\n  6 [size=\"165085867\", alpha=\"0.19\", expect_size=\"49525760\"] \n  6 -> 7 [size =\"49525760\"]\n  6 -> 8 [size =\"49525760\"]\n  7 [size=\"36270080\", alpha=\"0.09\", expect_size=\"10881024\"] \n  7 -> 10 [size =\"10881024\"]\n  8 [size=\"122705920\", alpha=\"0.15\", expect_size=\"36811776\"] \n  8 -> 9 [size =\"36811776\"]\n  8 -> 10 [size =\"36811776\"]\n  9 [size=\"104622080\", alpha=\"0.04\", expect_size=\"31386624\"] \n  9 -> 11 [size =\"31386624\"]\n  10 [size=\"86493867\", alpha=\"0.00\", expect_size=\"25948160\"] \n  10 -> 11 [size =\"25948160\"]\n  11 [size=\"83148800\", alpha=\"0.19\", expect_size=\"24944640\"] \n  11 -> 12 [size =\"24944640\"]\n  12 [size=\"156542293\", alpha=\"0.01\", expect_size=\"46962688\"] \n  12 -> 13 [size =\"46962688\"]\n  12 -> 14 [size =\"46962688\"]\n  13 [size=\"98293760\", alpha=\"0.15\", expect_size=\"29488128\"] \n  13 -> 15 [size =\"29488128\"]\n  13 -> 16 [size =\"29488128\"]\n  14 [size=\"28033707\", alpha=\"0.16\", expect_size=\"8410112\"] \n  14 -> 15 [size =\"8410112\"]\n  14 -> 16 [size =\"8410112\"]\n  15 [size=\"145633280\", alpha=\"0.15\", expect_size=\"43689984\"] \n  15 -> 17 [size =\"43689984\"]\n  16 [size=\"33047893\", alpha=\"0.14\", expect_size=\"9914368\"] \n  17 [size=\"27842560\", alpha=\"0.19\", expect_size=\"8352768\"] \n  17 -> 18 [size =\"8352768\"]\n  17 -> 19 [size =\"8352768\"]\n  18 [size=\"101580800\", alpha=\"0.05\", expect_size=\"30474240\"] \n  18 -> 20 [size =\"30474240\"]\n  18 -> 21 [size =\"30474240\"]\n  19 [size=\"64771413\", alpha=\"0.08\", expect_size=\"19431424\"] \n  19 -> 20 [size =\"19431424\"]\n  19 -> 21 [size =\"19431424\"]\n  20 [size=\"95375360\", alpha=\"0.06\", expect_size=\"28612608\"] \n  20 -> 23 [size =\"28612608\"]\n  21 [size=\"97542827\", alpha=\"0.16\", expect_size=\"29262848\"] \n  21 -> 22 [size =\"29262848\"]\n  21 -> 23 [size =\"29262848\"]\n  22 [size=\"87398400\", alpha=\"0.00\", expect_size=\"26219520\"] \n  22 -> 24 [size =\"26219520\"]\n  22 -> 25 [size =\"26219520\"]\n  23 [size=\"96621227\", alpha=\"0.15\", expect_size=\"28986368\"] \n  23 -> 24 [size =\"28986368\"]\n  23 -> 25 [size =\"28986368\"]\n  24 [size=\"58412373\", alpha=\"0.09\", expect_size=\"17523712\"] \n  25 [size=\"24978773\", alpha=\"0.12\", expect_size=\"7493632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92684288\", alpha=\"0.16\", expect_size=\"46342144\"] \n  1 -> 8 [size =\"46342144\"]\n  1 -> 10 [size =\"46342144\"]\n  2 [size=\"47161344\", alpha=\"0.01\", expect_size=\"23580672\"] \n  2 -> 9 [size =\"23580672\"]\n  2 -> 11 [size =\"23580672\"]\n  2 -> 12 [size =\"23580672\"]\n  2 -> 13 [size =\"23580672\"]\n  3 [size=\"100087808\", alpha=\"0.00\", expect_size=\"50043904\"] \n  3 -> 9 [size =\"50043904\"]\n  3 -> 11 [size =\"50043904\"]\n  3 -> 12 [size =\"50043904\"]\n  3 -> 13 [size =\"50043904\"]\n  4 [size=\"97812480\", alpha=\"0.01\", expect_size=\"48906240\"] \n  4 -> 9 [size =\"48906240\"]\n  4 -> 12 [size =\"48906240\"]\n  4 -> 13 [size =\"48906240\"]\n  5 [size=\"37701632\", alpha=\"0.02\", expect_size=\"18850816\"] \n  5 -> 10 [size =\"18850816\"]\n  5 -> 13 [size =\"18850816\"]\n  6 [size=\"100265984\", alpha=\"0.03\", expect_size=\"50132992\"] \n  6 -> 11 [size =\"50132992\"]\n  7 [size=\"68050944\", alpha=\"0.09\", expect_size=\"34025472\"] \n  7 -> 8 [size =\"34025472\"]\n  7 -> 9 [size =\"34025472\"]\n  7 -> 10 [size =\"34025472\"]\n  7 -> 11 [size =\"34025472\"]\n  8 [size=\"57348096\", alpha=\"0.06\", expect_size=\"28674048\"] \n  8 -> 17 [size =\"28674048\"]\n  8 -> 18 [size =\"28674048\"]\n  9 [size=\"26920960\", alpha=\"0.04\", expect_size=\"13460480\"] \n  9 -> 16 [size =\"13460480\"]\n  9 -> 22 [size =\"13460480\"]\n  10 [size=\"45434880\", alpha=\"0.19\", expect_size=\"22717440\"] \n  10 -> 16 [size =\"22717440\"]\n  10 -> 18 [size =\"22717440\"]\n  10 -> 23 [size =\"22717440\"]\n  11 [size=\"83685376\", alpha=\"0.09\", expect_size=\"41842688\"] \n  11 -> 14 [size =\"41842688\"]\n  11 -> 15 [size =\"41842688\"]\n  11 -> 18 [size =\"41842688\"]\n  11 -> 19 [size =\"41842688\"]\n  12 [size=\"66703360\", alpha=\"0.09\", expect_size=\"33351680\"] \n  12 -> 15 [size =\"33351680\"]\n  12 -> 17 [size =\"33351680\"]\n  12 -> 19 [size =\"33351680\"]\n  12 -> 20 [size =\"33351680\"]\n  12 -> 21 [size =\"33351680\"]\n  13 [size=\"69433344\", alpha=\"0.13\", expect_size=\"34716672\"] \n  13 -> 17 [size =\"34716672\"]\n  13 -> 22 [size =\"34716672\"]\n  14 [size=\"69978112\", alpha=\"0.03\", expect_size=\"34989056\"] \n  15 [size=\"76875776\", alpha=\"0.13\", expect_size=\"38437888\"] \n  15 -> 24 [size =\"38437888\"]\n  16 [size=\"84576256\", alpha=\"0.18\", expect_size=\"42288128\"] \n  17 [size=\"98963456\", alpha=\"0.04\", expect_size=\"49481728\"] \n  17 -> 25 [size =\"49481728\"]\n  18 [size=\"47546368\", alpha=\"0.18\", expect_size=\"23773184\"] \n  18 -> 25 [size =\"23773184\"]\n  19 [size=\"77361152\", alpha=\"0.06\", expect_size=\"38680576\"] \n  20 [size=\"94554112\", alpha=\"0.14\", expect_size=\"47277056\"] \n  21 [size=\"91711488\", alpha=\"0.00\", expect_size=\"45855744\"] \n  21 -> 25 [size =\"45855744\"]\n  22 [size=\"40988672\", alpha=\"0.14\", expect_size=\"20494336\"] \n  22 -> 24 [size =\"20494336\"]\n  22 -> 25 [size =\"20494336\"]\n  23 [size=\"84412416\", alpha=\"0.07\", expect_size=\"42206208\"] \n  24 [size=\"53305344\", alpha=\"0.18\", expect_size=\"26652672\"] \n  25 [size=\"65970176\", alpha=\"0.15\", expect_size=\"32985088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128291840\", alpha=\"0.14\", expect_size=\"51316736\"] \n  1 -> 6 [size =\"51316736\"]\n  2 [size=\"68021760\", alpha=\"0.06\", expect_size=\"27208704\"] \n  2 -> 5 [size =\"27208704\"]\n  2 -> 7 [size =\"27208704\"]\n  2 -> 8 [size =\"27208704\"]\n  3 [size=\"16081920\", alpha=\"0.20\", expect_size=\"6432768\"] \n  3 -> 5 [size =\"6432768\"]\n  3 -> 6 [size =\"6432768\"]\n  3 -> 7 [size =\"6432768\"]\n  3 -> 8 [size =\"6432768\"]\n  4 [size=\"89423360\", alpha=\"0.19\", expect_size=\"35769344\"] \n  5 [size=\"103838720\", alpha=\"0.05\", expect_size=\"41535488\"] \n  6 [size=\"14080000\", alpha=\"0.18\", expect_size=\"5632000\"] \n  6 -> 9 [size =\"5632000\"]\n  6 -> 10 [size =\"5632000\"]\n  6 -> 12 [size =\"5632000\"]\n  7 [size=\"65715200\", alpha=\"0.04\", expect_size=\"26286080\"] \n  7 -> 9 [size =\"26286080\"]\n  7 -> 11 [size =\"26286080\"]\n  7 -> 12 [size =\"26286080\"]\n  8 [size=\"113111040\", alpha=\"0.18\", expect_size=\"45244416\"] \n  9 [size=\"102515200\", alpha=\"0.16\", expect_size=\"41006080\"] \n  9 -> 13 [size =\"41006080\"]\n  9 -> 14 [size =\"41006080\"]\n  9 -> 15 [size =\"41006080\"]\n  10 [size=\"48514560\", alpha=\"0.05\", expect_size=\"19405824\"] \n  10 -> 13 [size =\"19405824\"]\n  11 [size=\"53015040\", alpha=\"0.17\", expect_size=\"21206016\"] \n  11 -> 15 [size =\"21206016\"]\n  11 -> 16 [size =\"21206016\"]\n  12 [size=\"16872960\", alpha=\"0.07\", expect_size=\"6749184\"] \n  13 [size=\"52608000\", alpha=\"0.16\", expect_size=\"21043200\"] \n  13 -> 17 [size =\"21043200\"]\n  13 -> 18 [size =\"21043200\"]\n  14 [size=\"50956800\", alpha=\"0.07\", expect_size=\"20382720\"] \n  14 -> 17 [size =\"20382720\"]\n  14 -> 19 [size =\"20382720\"]\n  14 -> 20 [size =\"20382720\"]\n  15 [size=\"46323200\", alpha=\"0.15\", expect_size=\"18529280\"] \n  16 [size=\"76113920\", alpha=\"0.16\", expect_size=\"30445568\"] \n  17 [size=\"64880640\", alpha=\"0.07\", expect_size=\"25952256\"] \n  18 [size=\"87997440\", alpha=\"0.08\", expect_size=\"35198976\"] \n  18 -> 21 [size =\"35198976\"]\n  19 [size=\"76403200\", alpha=\"0.06\", expect_size=\"30561280\"] \n  19 -> 21 [size =\"30561280\"]\n  20 [size=\"51975680\", alpha=\"0.18\", expect_size=\"20790272\"] \n  20 -> 22 [size =\"20790272\"]\n  20 -> 23 [size =\"20790272\"]\n  21 [size=\"78545920\", alpha=\"0.09\", expect_size=\"31418368\"] \n  21 -> 25 [size =\"31418368\"]\n  22 [size=\"58685440\", alpha=\"0.10\", expect_size=\"23474176\"] \n  23 [size=\"101534720\", alpha=\"0.12\", expect_size=\"40613888\"] \n  23 -> 24 [size =\"40613888\"]\n  23 -> 25 [size =\"40613888\"]\n  24 [size=\"78824960\", alpha=\"0.06\", expect_size=\"31529984\"] \n  25 [size=\"117762560\", alpha=\"0.16\", expect_size=\"47105024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114519040\", alpha=\"0.02\", expect_size=\"45807616\"] \n  1 -> 2 [size =\"45807616\"]\n  2 [size=\"116451840\", alpha=\"0.06\", expect_size=\"46580736\"] \n  2 -> 3 [size =\"46580736\"]\n  2 -> 4 [size =\"46580736\"]\n  3 [size=\"58170880\", alpha=\"0.00\", expect_size=\"23268352\"] \n  4 [size=\"84894720\", alpha=\"0.04\", expect_size=\"33957888\"] \n  4 -> 5 [size =\"33957888\"]\n  4 -> 6 [size =\"33957888\"]\n  5 [size=\"31923200\", alpha=\"0.07\", expect_size=\"12769280\"] \n  5 -> 7 [size =\"12769280\"]\n  5 -> 8 [size =\"12769280\"]\n  6 [size=\"91072000\", alpha=\"0.19\", expect_size=\"36428800\"] \n  7 [size=\"17907200\", alpha=\"0.01\", expect_size=\"7162880\"] \n  7 -> 9 [size =\"7162880\"]\n  8 [size=\"44364800\", alpha=\"0.11\", expect_size=\"17745920\"] \n  9 [size=\"87257600\", alpha=\"0.03\", expect_size=\"34903040\"] \n  9 -> 10 [size =\"34903040\"]\n  10 [size=\"79854080\", alpha=\"0.14\", expect_size=\"31941632\"] \n  10 -> 11 [size =\"31941632\"]\n  11 [size=\"28270080\", alpha=\"0.06\", expect_size=\"11308032\"] \n  11 -> 12 [size =\"11308032\"]\n  12 [size=\"37263360\", alpha=\"0.14\", expect_size=\"14905344\"] \n  12 -> 13 [size =\"14905344\"]\n  13 [size=\"72028160\", alpha=\"0.03\", expect_size=\"28811264\"] \n  13 -> 14 [size =\"28811264\"]\n  14 [size=\"74816000\", alpha=\"0.04\", expect_size=\"29926400\"] \n  14 -> 15 [size =\"29926400\"]\n  15 [size=\"96960000\", alpha=\"0.08\", expect_size=\"38784000\"] \n  15 -> 16 [size =\"38784000\"]\n  15 -> 17 [size =\"38784000\"]\n  16 [size=\"20590080\", alpha=\"0.05\", expect_size=\"8236032\"] \n  16 -> 18 [size =\"8236032\"]\n  17 [size=\"16235520\", alpha=\"0.08\", expect_size=\"6494208\"] \n  17 -> 19 [size =\"6494208\"]\n  18 [size=\"20444160\", alpha=\"0.18\", expect_size=\"8177664\"] \n  18 -> 20 [size =\"8177664\"]\n  18 -> 21 [size =\"8177664\"]\n  19 [size=\"82662400\", alpha=\"0.01\", expect_size=\"33064960\"] \n  20 [size=\"102110720\", alpha=\"0.11\", expect_size=\"40844288\"] \n  21 [size=\"65000960\", alpha=\"0.19\", expect_size=\"26000384\"] \n  21 -> 22 [size =\"26000384\"]\n  22 [size=\"99294720\", alpha=\"0.05\", expect_size=\"39717888\"] \n  22 -> 23 [size =\"39717888\"]\n  22 -> 24 [size =\"39717888\"]\n  23 [size=\"66206720\", alpha=\"0.18\", expect_size=\"26482688\"] \n  23 -> 25 [size =\"26482688\"]\n  24 [size=\"82956800\", alpha=\"0.03\", expect_size=\"33182720\"] \n  25 [size=\"106106880\", alpha=\"0.12\", expect_size=\"42442752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112097280\", alpha=\"0.19\", expect_size=\"33629184\"] \n  1 -> 22 [size =\"33629184\"]\n  1 -> 25 [size =\"33629184\"]\n  2 [size=\"145728853\", alpha=\"0.03\", expect_size=\"43718656\"] \n  2 -> 22 [size =\"43718656\"]\n  3 [size=\"147739307\", alpha=\"0.10\", expect_size=\"44321792\"] \n  3 -> 22 [size =\"44321792\"]\n  4 [size=\"45653333\", alpha=\"0.15\", expect_size=\"13696000\"] \n  4 -> 22 [size =\"13696000\"]\n  4 -> 24 [size =\"13696000\"]\n  5 [size=\"160733867\", alpha=\"0.08\", expect_size=\"48220160\"] \n  5 -> 23 [size =\"48220160\"]\n  5 -> 24 [size =\"48220160\"]\n  6 [size=\"108707840\", alpha=\"0.18\", expect_size=\"32612352\"] \n  6 -> 24 [size =\"32612352\"]\n  7 [size=\"128822613\", alpha=\"0.16\", expect_size=\"38646784\"] \n  7 -> 22 [size =\"38646784\"]\n  8 [size=\"20903253\", alpha=\"0.07\", expect_size=\"6270976\"] \n  8 -> 23 [size =\"6270976\"]\n  8 -> 25 [size =\"6270976\"]\n  9 [size=\"84415147\", alpha=\"0.04\", expect_size=\"25324544\"] \n  9 -> 23 [size =\"25324544\"]\n  10 [size=\"142520320\", alpha=\"0.01\", expect_size=\"42756096\"] \n  10 -> 22 [size =\"42756096\"]\n  10 -> 23 [size =\"42756096\"]\n  11 [size=\"61945173\", alpha=\"0.08\", expect_size=\"18583552\"] \n  11 -> 25 [size =\"18583552\"]\n  12 [size=\"57968640\", alpha=\"0.17\", expect_size=\"17390592\"] \n  12 -> 22 [size =\"17390592\"]\n  12 -> 25 [size =\"17390592\"]\n  13 [size=\"82838187\", alpha=\"0.08\", expect_size=\"24851456\"] \n  13 -> 23 [size =\"24851456\"]\n  13 -> 25 [size =\"24851456\"]\n  14 [size=\"162324480\", alpha=\"0.16\", expect_size=\"48697344\"] \n  14 -> 22 [size =\"48697344\"]\n  14 -> 24 [size =\"48697344\"]\n  15 [size=\"120596480\", alpha=\"0.13\", expect_size=\"36178944\"] \n  15 -> 23 [size =\"36178944\"]\n  16 [size=\"22497280\", alpha=\"0.08\", expect_size=\"6749184\"] \n  16 -> 23 [size =\"6749184\"]\n  17 [size=\"167208960\", alpha=\"0.17\", expect_size=\"50162688\"] \n  17 -> 22 [size =\"50162688\"]\n  17 -> 24 [size =\"50162688\"]\n  18 [size=\"139482453\", alpha=\"0.13\", expect_size=\"41844736\"] \n  18 -> 22 [size =\"41844736\"]\n  19 [size=\"40106667\", alpha=\"0.03\", expect_size=\"12032000\"] \n  19 -> 22 [size =\"12032000\"]\n  20 [size=\"75281067\", alpha=\"0.10\", expect_size=\"22584320\"] \n  20 -> 22 [size =\"22584320\"]\n  20 -> 24 [size =\"22584320\"]\n  21 [size=\"85985280\", alpha=\"0.10\", expect_size=\"25795584\"] \n  22 [size=\"147558400\", alpha=\"0.05\", expect_size=\"44267520\"] \n  23 [size=\"127819093\", alpha=\"0.18\", expect_size=\"38345728\"] \n  24 [size=\"34635093\", alpha=\"0.13\", expect_size=\"10390528\"] \n  25 [size=\"163061760\", alpha=\"0.07\", expect_size=\"48918528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86514347\", alpha=\"0.10\", expect_size=\"25954304\"] \n  1 -> 4 [size =\"25954304\"]\n  2 [size=\"96508587\", alpha=\"0.17\", expect_size=\"28952576\"] \n  2 -> 5 [size =\"28952576\"]\n  2 -> 6 [size =\"28952576\"]\n  3 [size=\"79336107\", alpha=\"0.05\", expect_size=\"23800832\"] \n  4 [size=\"113029120\", alpha=\"0.15\", expect_size=\"33908736\"] \n  4 -> 7 [size =\"33908736\"]\n  4 -> 10 [size =\"33908736\"]\n  5 [size=\"151360853\", alpha=\"0.05\", expect_size=\"45408256\"] \n  5 -> 9 [size =\"45408256\"]\n  6 [size=\"58705920\", alpha=\"0.17\", expect_size=\"17611776\"] \n  6 -> 8 [size =\"17611776\"]\n  6 -> 9 [size =\"17611776\"]\n  6 -> 10 [size =\"17611776\"]\n  7 [size=\"150022827\", alpha=\"0.08\", expect_size=\"45006848\"] \n  7 -> 11 [size =\"45006848\"]\n  7 -> 13 [size =\"45006848\"]\n  8 [size=\"162133333\", alpha=\"0.09\", expect_size=\"48640000\"] \n  8 -> 12 [size =\"48640000\"]\n  9 [size=\"54121813\", alpha=\"0.19\", expect_size=\"16236544\"] \n  9 -> 12 [size =\"16236544\"]\n  9 -> 13 [size =\"16236544\"]\n  10 [size=\"29293227\", alpha=\"0.03\", expect_size=\"8787968\"] \n  10 -> 11 [size =\"8787968\"]\n  10 -> 13 [size =\"8787968\"]\n  11 [size=\"68232533\", alpha=\"0.17\", expect_size=\"20469760\"] \n  12 [size=\"150609920\", alpha=\"0.11\", expect_size=\"45182976\"] \n  12 -> 14 [size =\"45182976\"]\n  12 -> 15 [size =\"45182976\"]\n  12 -> 16 [size =\"45182976\"]\n  12 -> 17 [size =\"45182976\"]\n  13 [size=\"125102080\", alpha=\"0.16\", expect_size=\"37530624\"] \n  13 -> 14 [size =\"37530624\"]\n  14 [size=\"162740907\", alpha=\"0.19\", expect_size=\"48822272\"] \n  14 -> 19 [size =\"48822272\"]\n  15 [size=\"122453333\", alpha=\"0.10\", expect_size=\"36736000\"] \n  15 -> 18 [size =\"36736000\"]\n  15 -> 19 [size =\"36736000\"]\n  16 [size=\"158614187\", alpha=\"0.16\", expect_size=\"47584256\"] \n  16 -> 19 [size =\"47584256\"]\n  16 -> 20 [size =\"47584256\"]\n  17 [size=\"131549867\", alpha=\"0.13\", expect_size=\"39464960\"] \n  17 -> 20 [size =\"39464960\"]\n  17 -> 21 [size =\"39464960\"]\n  18 [size=\"38833493\", alpha=\"0.05\", expect_size=\"11650048\"] \n  18 -> 24 [size =\"11650048\"]\n  19 [size=\"113158827\", alpha=\"0.12\", expect_size=\"33947648\"] \n  19 -> 23 [size =\"33947648\"]\n  20 [size=\"103287467\", alpha=\"0.13\", expect_size=\"30986240\"] \n  20 -> 23 [size =\"30986240\"]\n  21 [size=\"125873493\", alpha=\"0.03\", expect_size=\"37762048\"] \n  21 -> 22 [size =\"37762048\"]\n  21 -> 23 [size =\"37762048\"]\n  22 [size=\"101894827\", alpha=\"0.03\", expect_size=\"30568448\"] \n  23 [size=\"32829440\", alpha=\"0.11\", expect_size=\"9848832\"] \n  23 -> 25 [size =\"9848832\"]\n  24 [size=\"159849813\", alpha=\"0.11\", expect_size=\"47954944\"] \n  25 [size=\"148988587\", alpha=\"0.09\", expect_size=\"44696576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71276544\", alpha=\"0.01\", expect_size=\"35638272\"] \n  1 -> 3 [size =\"35638272\"]\n  2 [size=\"10967040\", alpha=\"0.13\", expect_size=\"5483520\"] \n  2 -> 3 [size =\"5483520\"]\n  3 [size=\"59058176\", alpha=\"0.06\", expect_size=\"29529088\"] \n  3 -> 4 [size =\"29529088\"]\n  3 -> 5 [size =\"29529088\"]\n  4 [size=\"36321280\", alpha=\"0.12\", expect_size=\"18160640\"] \n  4 -> 6 [size =\"18160640\"]\n  4 -> 7 [size =\"18160640\"]\n  5 [size=\"63354880\", alpha=\"0.08\", expect_size=\"31677440\"] \n  5 -> 7 [size =\"31677440\"]\n  6 [size=\"76646400\", alpha=\"0.20\", expect_size=\"38323200\"] \n  6 -> 9 [size =\"38323200\"]\n  7 [size=\"49446912\", alpha=\"0.08\", expect_size=\"24723456\"] \n  7 -> 8 [size =\"24723456\"]\n  7 -> 9 [size =\"24723456\"]\n  8 [size=\"81473536\", alpha=\"0.16\", expect_size=\"40736768\"] \n  8 -> 11 [size =\"40736768\"]\n  9 [size=\"85688320\", alpha=\"0.06\", expect_size=\"42844160\"] \n  9 -> 10 [size =\"42844160\"]\n  10 [size=\"33189888\", alpha=\"0.20\", expect_size=\"16594944\"] \n  11 [size=\"90312704\", alpha=\"0.00\", expect_size=\"45156352\"] \n  11 -> 12 [size =\"45156352\"]\n  12 [size=\"97005568\", alpha=\"0.04\", expect_size=\"48502784\"] \n  12 -> 13 [size =\"48502784\"]\n  13 [size=\"63010816\", alpha=\"0.09\", expect_size=\"31505408\"] \n  13 -> 14 [size =\"31505408\"]\n  14 [size=\"90556416\", alpha=\"0.05\", expect_size=\"45278208\"] \n  14 -> 15 [size =\"45278208\"]\n  15 [size=\"53037056\", alpha=\"0.02\", expect_size=\"26518528\"] \n  15 -> 16 [size =\"26518528\"]\n  16 [size=\"89188352\", alpha=\"0.16\", expect_size=\"44594176\"] \n  16 -> 17 [size =\"44594176\"]\n  16 -> 18 [size =\"44594176\"]\n  17 [size=\"88287232\", alpha=\"0.03\", expect_size=\"44143616\"] \n  17 -> 19 [size =\"44143616\"]\n  17 -> 20 [size =\"44143616\"]\n  18 [size=\"33744896\", alpha=\"0.12\", expect_size=\"16872448\"] \n  19 [size=\"14823424\", alpha=\"0.17\", expect_size=\"7411712\"] \n  19 -> 21 [size =\"7411712\"]\n  20 [size=\"45096960\", alpha=\"0.10\", expect_size=\"22548480\"] \n  21 [size=\"44480512\", alpha=\"0.16\", expect_size=\"22240256\"] \n  21 -> 22 [size =\"22240256\"]\n  22 [size=\"45596672\", alpha=\"0.01\", expect_size=\"22798336\"] \n  22 -> 23 [size =\"22798336\"]\n  22 -> 24 [size =\"22798336\"]\n  23 [size=\"65671168\", alpha=\"0.18\", expect_size=\"32835584\"] \n  23 -> 25 [size =\"32835584\"]\n  24 [size=\"15812608\", alpha=\"0.19\", expect_size=\"7906304\"] \n  25 [size=\"39626752\", alpha=\"0.12\", expect_size=\"19813376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125928960\", alpha=\"0.08\", expect_size=\"50371584\"] \n  1 -> 3 [size =\"50371584\"]\n  2 [size=\"116943360\", alpha=\"0.06\", expect_size=\"46777344\"] \n  3 [size=\"75430400\", alpha=\"0.04\", expect_size=\"30172160\"] \n  3 -> 4 [size =\"30172160\"]\n  3 -> 5 [size =\"30172160\"]\n  4 [size=\"40261120\", alpha=\"0.13\", expect_size=\"16104448\"] \n  5 [size=\"44165120\", alpha=\"0.01\", expect_size=\"17666048\"] \n  5 -> 6 [size =\"17666048\"]\n  5 -> 7 [size =\"17666048\"]\n  6 [size=\"43312640\", alpha=\"0.20\", expect_size=\"17325056\"] \n  6 -> 8 [size =\"17325056\"]\n  7 [size=\"130849280\", alpha=\"0.12\", expect_size=\"52339712\"] \n  8 [size=\"30233600\", alpha=\"0.05\", expect_size=\"12093440\"] \n  8 -> 9 [size =\"12093440\"]\n  8 -> 10 [size =\"12093440\"]\n  9 [size=\"93811200\", alpha=\"0.08\", expect_size=\"37524480\"] \n  9 -> 11 [size =\"37524480\"]\n  10 [size=\"71938560\", alpha=\"0.06\", expect_size=\"28775424\"] \n  11 [size=\"81474560\", alpha=\"0.19\", expect_size=\"32589824\"] \n  11 -> 12 [size =\"32589824\"]\n  12 [size=\"127682560\", alpha=\"0.11\", expect_size=\"51073024\"] \n  12 -> 13 [size =\"51073024\"]\n  12 -> 14 [size =\"51073024\"]\n  13 [size=\"44372480\", alpha=\"0.16\", expect_size=\"17748992\"] \n  13 -> 15 [size =\"17748992\"]\n  14 [size=\"67927040\", alpha=\"0.20\", expect_size=\"27170816\"] \n  14 -> 16 [size =\"27170816\"]\n  15 [size=\"26593280\", alpha=\"0.13\", expect_size=\"10637312\"] \n  15 -> 18 [size =\"10637312\"]\n  16 [size=\"33671680\", alpha=\"0.15\", expect_size=\"13468672\"] \n  16 -> 17 [size =\"13468672\"]\n  17 [size=\"30888960\", alpha=\"0.19\", expect_size=\"12355584\"] \n  18 [size=\"103470080\", alpha=\"0.12\", expect_size=\"41388032\"] \n  18 -> 19 [size =\"41388032\"]\n  19 [size=\"17861120\", alpha=\"0.15\", expect_size=\"7144448\"] \n  19 -> 20 [size =\"7144448\"]\n  19 -> 21 [size =\"7144448\"]\n  20 [size=\"67624960\", alpha=\"0.20\", expect_size=\"27049984\"] \n  21 [size=\"100449280\", alpha=\"0.03\", expect_size=\"40179712\"] \n  21 -> 22 [size =\"40179712\"]\n  22 [size=\"93189120\", alpha=\"0.04\", expect_size=\"37275648\"] \n  22 -> 23 [size =\"37275648\"]\n  22 -> 24 [size =\"37275648\"]\n  23 [size=\"42859520\", alpha=\"0.15\", expect_size=\"17143808\"] \n  23 -> 25 [size =\"17143808\"]\n  24 [size=\"20730880\", alpha=\"0.12\", expect_size=\"8292352\"] \n  25 [size=\"18882560\", alpha=\"0.13\", expect_size=\"7553024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88275627\", alpha=\"0.18\", expect_size=\"26482688\"] \n  1 -> 8 [size =\"26482688\"]\n  1 -> 10 [size =\"26482688\"]\n  2 [size=\"20927147\", alpha=\"0.04\", expect_size=\"6278144\"] \n  2 -> 11 [size =\"6278144\"]\n  2 -> 12 [size =\"6278144\"]\n  3 [size=\"30883840\", alpha=\"0.03\", expect_size=\"9265152\"] \n  3 -> 13 [size =\"9265152\"]\n  4 [size=\"41656320\", alpha=\"0.00\", expect_size=\"12496896\"] \n  4 -> 7 [size =\"12496896\"]\n  4 -> 9 [size =\"12496896\"]\n  5 [size=\"148790613\", alpha=\"0.06\", expect_size=\"44637184\"] \n  5 -> 8 [size =\"44637184\"]\n  5 -> 12 [size =\"44637184\"]\n  6 [size=\"130979840\", alpha=\"0.18\", expect_size=\"39293952\"] \n  6 -> 8 [size =\"39293952\"]\n  6 -> 10 [size =\"39293952\"]\n  7 [size=\"88971947\", alpha=\"0.14\", expect_size=\"26691584\"] \n  7 -> 17 [size =\"26691584\"]\n  8 [size=\"50933760\", alpha=\"0.01\", expect_size=\"15280128\"] \n  8 -> 14 [size =\"15280128\"]\n  8 -> 17 [size =\"15280128\"]\n  9 [size=\"171011413\", alpha=\"0.16\", expect_size=\"51303424\"] \n  9 -> 17 [size =\"51303424\"]\n  10 [size=\"47383893\", alpha=\"0.17\", expect_size=\"14215168\"] \n  10 -> 15 [size =\"14215168\"]\n  10 -> 17 [size =\"14215168\"]\n  11 [size=\"29696000\", alpha=\"0.19\", expect_size=\"8908800\"] \n  11 -> 16 [size =\"8908800\"]\n  12 [size=\"167372800\", alpha=\"0.04\", expect_size=\"50211840\"] \n  12 -> 16 [size =\"50211840\"]\n  12 -> 17 [size =\"50211840\"]\n  13 [size=\"44014933\", alpha=\"0.04\", expect_size=\"13204480\"] \n  13 -> 15 [size =\"13204480\"]\n  13 -> 16 [size =\"13204480\"]\n  14 [size=\"63849813\", alpha=\"0.11\", expect_size=\"19154944\"] \n  14 -> 21 [size =\"19154944\"]\n  15 [size=\"65553067\", alpha=\"0.05\", expect_size=\"19665920\"] \n  16 [size=\"111353173\", alpha=\"0.11\", expect_size=\"33405952\"] \n  16 -> 18 [size =\"33405952\"]\n  16 -> 19 [size =\"33405952\"]\n  16 -> 21 [size =\"33405952\"]\n  16 -> 23 [size =\"33405952\"]\n  16 -> 25 [size =\"33405952\"]\n  17 [size=\"98478080\", alpha=\"0.11\", expect_size=\"29543424\"] \n  17 -> 19 [size =\"29543424\"]\n  17 -> 20 [size =\"29543424\"]\n  17 -> 21 [size =\"29543424\"]\n  17 -> 22 [size =\"29543424\"]\n  17 -> 24 [size =\"29543424\"]\n  17 -> 25 [size =\"29543424\"]\n  18 [size=\"47868587\", alpha=\"0.14\", expect_size=\"14360576\"] \n  19 [size=\"57985707\", alpha=\"0.00\", expect_size=\"17395712\"] \n  20 [size=\"29822293\", alpha=\"0.13\", expect_size=\"8946688\"] \n  21 [size=\"163372373\", alpha=\"0.14\", expect_size=\"49011712\"] \n  22 [size=\"153528320\", alpha=\"0.16\", expect_size=\"46058496\"] \n  23 [size=\"30375253\", alpha=\"0.20\", expect_size=\"9112576\"] \n  24 [size=\"61853013\", alpha=\"0.06\", expect_size=\"18555904\"] \n  25 [size=\"148992000\", alpha=\"0.10\", expect_size=\"44697600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108687360\", alpha=\"0.06\", expect_size=\"43474944\"] \n  1 -> 2 [size =\"43474944\"]\n  2 [size=\"49249280\", alpha=\"0.06\", expect_size=\"19699712\"] \n  2 -> 3 [size =\"19699712\"]\n  3 [size=\"19358720\", alpha=\"0.03\", expect_size=\"7743488\"] \n  3 -> 4 [size =\"7743488\"]\n  4 [size=\"77335040\", alpha=\"0.15\", expect_size=\"30934016\"] \n  4 -> 5 [size =\"30934016\"]\n  5 [size=\"33034240\", alpha=\"0.16\", expect_size=\"13213696\"] \n  5 -> 6 [size =\"13213696\"]\n  6 [size=\"87680000\", alpha=\"0.01\", expect_size=\"35072000\"] \n  6 -> 7 [size =\"35072000\"]\n  7 [size=\"62494720\", alpha=\"0.16\", expect_size=\"24997888\"] \n  7 -> 8 [size =\"24997888\"]\n  8 [size=\"22599680\", alpha=\"0.20\", expect_size=\"9039872\"] \n  8 -> 9 [size =\"9039872\"]\n  9 [size=\"26877440\", alpha=\"0.16\", expect_size=\"10750976\"] \n  9 -> 10 [size =\"10750976\"]\n  10 [size=\"40768000\", alpha=\"0.19\", expect_size=\"16307200\"] \n  10 -> 11 [size =\"16307200\"]\n  11 [size=\"51837440\", alpha=\"0.05\", expect_size=\"20734976\"] \n  11 -> 12 [size =\"20734976\"]\n  12 [size=\"88849920\", alpha=\"0.18\", expect_size=\"35539968\"] \n  12 -> 13 [size =\"35539968\"]\n  13 [size=\"127022080\", alpha=\"0.08\", expect_size=\"50808832\"] \n  13 -> 14 [size =\"50808832\"]\n  14 [size=\"27814400\", alpha=\"0.07\", expect_size=\"11125760\"] \n  14 -> 15 [size =\"11125760\"]\n  15 [size=\"117544960\", alpha=\"0.02\", expect_size=\"47017984\"] \n  15 -> 16 [size =\"47017984\"]\n  16 [size=\"94694400\", alpha=\"0.13\", expect_size=\"37877760\"] \n  16 -> 17 [size =\"37877760\"]\n  17 [size=\"98790400\", alpha=\"0.10\", expect_size=\"39516160\"] \n  17 -> 18 [size =\"39516160\"]\n  18 [size=\"74951680\", alpha=\"0.08\", expect_size=\"29980672\"] \n  18 -> 19 [size =\"29980672\"]\n  19 [size=\"73000960\", alpha=\"0.06\", expect_size=\"29200384\"] \n  19 -> 20 [size =\"29200384\"]\n  20 [size=\"48486400\", alpha=\"0.19\", expect_size=\"19394560\"] \n  20 -> 21 [size =\"19394560\"]\n  21 [size=\"41303040\", alpha=\"0.09\", expect_size=\"16521216\"] \n  21 -> 22 [size =\"16521216\"]\n  22 [size=\"71472640\", alpha=\"0.05\", expect_size=\"28589056\"] \n  22 -> 23 [size =\"28589056\"]\n  23 [size=\"60472320\", alpha=\"0.02\", expect_size=\"24188928\"] \n  23 -> 24 [size =\"24188928\"]\n  24 [size=\"107404800\", alpha=\"0.09\", expect_size=\"42961920\"] \n  24 -> 25 [size =\"42961920\"]\n  25 [size=\"29429760\", alpha=\"0.00\", expect_size=\"11771904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74260480\", alpha=\"0.09\", expect_size=\"37130240\"] \n  1 -> 2 [size =\"37130240\"]\n  2 [size=\"73424896\", alpha=\"0.11\", expect_size=\"36712448\"] \n  2 -> 3 [size =\"36712448\"]\n  3 [size=\"19841024\", alpha=\"0.14\", expect_size=\"9920512\"] \n  3 -> 4 [size =\"9920512\"]\n  4 [size=\"69806080\", alpha=\"0.14\", expect_size=\"34903040\"] \n  4 -> 5 [size =\"34903040\"]\n  5 [size=\"79177728\", alpha=\"0.12\", expect_size=\"39588864\"] \n  5 -> 6 [size =\"39588864\"]\n  6 [size=\"68536320\", alpha=\"0.18\", expect_size=\"34268160\"] \n  6 -> 7 [size =\"34268160\"]\n  7 [size=\"62038016\", alpha=\"0.05\", expect_size=\"31019008\"] \n  7 -> 8 [size =\"31019008\"]\n  8 [size=\"102879232\", alpha=\"0.20\", expect_size=\"51439616\"] \n  8 -> 9 [size =\"51439616\"]\n  9 [size=\"25546752\", alpha=\"0.19\", expect_size=\"12773376\"] \n  9 -> 10 [size =\"12773376\"]\n  10 [size=\"75540480\", alpha=\"0.03\", expect_size=\"37770240\"] \n  10 -> 11 [size =\"37770240\"]\n  11 [size=\"41635840\", alpha=\"0.14\", expect_size=\"20817920\"] \n  11 -> 12 [size =\"20817920\"]\n  12 [size=\"84918272\", alpha=\"0.13\", expect_size=\"42459136\"] \n  12 -> 13 [size =\"42459136\"]\n  13 [size=\"43038720\", alpha=\"0.05\", expect_size=\"21519360\"] \n  13 -> 14 [size =\"21519360\"]\n  14 [size=\"13719552\", alpha=\"0.13\", expect_size=\"6859776\"] \n  14 -> 15 [size =\"6859776\"]\n  15 [size=\"81551360\", alpha=\"0.03\", expect_size=\"40775680\"] \n  15 -> 16 [size =\"40775680\"]\n  16 [size=\"44619776\", alpha=\"0.05\", expect_size=\"22309888\"] \n  16 -> 17 [size =\"22309888\"]\n  17 [size=\"36560896\", alpha=\"0.02\", expect_size=\"18280448\"] \n  17 -> 18 [size =\"18280448\"]\n  18 [size=\"60205056\", alpha=\"0.14\", expect_size=\"30102528\"] \n  18 -> 19 [size =\"30102528\"]\n  19 [size=\"58667008\", alpha=\"0.16\", expect_size=\"29333504\"] \n  19 -> 20 [size =\"29333504\"]\n  20 [size=\"51802112\", alpha=\"0.15\", expect_size=\"25901056\"] \n  20 -> 21 [size =\"25901056\"]\n  21 [size=\"68235264\", alpha=\"0.08\", expect_size=\"34117632\"] \n  21 -> 22 [size =\"34117632\"]\n  22 [size=\"41181184\", alpha=\"0.15\", expect_size=\"20590592\"] \n  22 -> 23 [size =\"20590592\"]\n  23 [size=\"103946240\", alpha=\"0.03\", expect_size=\"51973120\"] \n  23 -> 24 [size =\"51973120\"]\n  24 [size=\"32047104\", alpha=\"0.04\", expect_size=\"16023552\"] \n  24 -> 25 [size =\"16023552\"]\n  25 [size=\"91455488\", alpha=\"0.20\", expect_size=\"45727744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43721387\", alpha=\"0.09\", expect_size=\"13116416\"] \n  1 -> 15 [size =\"13116416\"]\n  1 -> 16 [size =\"13116416\"]\n  1 -> 20 [size =\"13116416\"]\n  1 -> 23 [size =\"13116416\"]\n  2 [size=\"67495253\", alpha=\"0.10\", expect_size=\"20248576\"] \n  2 -> 11 [size =\"20248576\"]\n  2 -> 12 [size =\"20248576\"]\n  2 -> 17 [size =\"20248576\"]\n  2 -> 21 [size =\"20248576\"]\n  2 -> 23 [size =\"20248576\"]\n  3 [size=\"104403627\", alpha=\"0.03\", expect_size=\"31321088\"] \n  3 -> 11 [size =\"31321088\"]\n  3 -> 16 [size =\"31321088\"]\n  3 -> 17 [size =\"31321088\"]\n  3 -> 21 [size =\"31321088\"]\n  3 -> 22 [size =\"31321088\"]\n  4 [size=\"53521067\", alpha=\"0.06\", expect_size=\"16056320\"] \n  4 -> 18 [size =\"16056320\"]\n  5 [size=\"71997440\", alpha=\"0.05\", expect_size=\"21599232\"] \n  5 -> 11 [size =\"21599232\"]\n  5 -> 15 [size =\"21599232\"]\n  5 -> 16 [size =\"21599232\"]\n  5 -> 17 [size =\"21599232\"]\n  6 [size=\"27040427\", alpha=\"0.02\", expect_size=\"8112128\"] \n  6 -> 11 [size =\"8112128\"]\n  6 -> 16 [size =\"8112128\"]\n  7 [size=\"116739413\", alpha=\"0.20\", expect_size=\"35021824\"] \n  7 -> 16 [size =\"35021824\"]\n  7 -> 17 [size =\"35021824\"]\n  7 -> 20 [size =\"35021824\"]\n  8 [size=\"31904427\", alpha=\"0.09\", expect_size=\"9571328\"] \n  8 -> 13 [size =\"9571328\"]\n  8 -> 15 [size =\"9571328\"]\n  8 -> 16 [size =\"9571328\"]\n  8 -> 19 [size =\"9571328\"]\n  8 -> 20 [size =\"9571328\"]\n  8 -> 21 [size =\"9571328\"]\n  9 [size=\"149626880\", alpha=\"0.11\", expect_size=\"44888064\"] \n  9 -> 11 [size =\"44888064\"]\n  9 -> 12 [size =\"44888064\"]\n  9 -> 14 [size =\"44888064\"]\n  9 -> 17 [size =\"44888064\"]\n  9 -> 22 [size =\"44888064\"]\n  10 [size=\"139748693\", alpha=\"0.10\", expect_size=\"41924608\"] \n  10 -> 23 [size =\"41924608\"]\n  11 [size=\"19688107\", alpha=\"0.04\", expect_size=\"5906432\"] \n  12 [size=\"93484373\", alpha=\"0.08\", expect_size=\"28045312\"] \n  12 -> 24 [size =\"28045312\"]\n  13 [size=\"171915947\", alpha=\"0.00\", expect_size=\"51574784\"] \n  14 [size=\"34641920\", alpha=\"0.18\", expect_size=\"10392576\"] \n  15 [size=\"84381013\", alpha=\"0.19\", expect_size=\"25314304\"] \n  16 [size=\"125013333\", alpha=\"0.16\", expect_size=\"37504000\"] \n  16 -> 25 [size =\"37504000\"]\n  17 [size=\"138284373\", alpha=\"0.11\", expect_size=\"41485312\"] \n  18 [size=\"135840427\", alpha=\"0.14\", expect_size=\"40752128\"] \n  19 [size=\"49834667\", alpha=\"0.01\", expect_size=\"14950400\"] \n  20 [size=\"139922773\", alpha=\"0.01\", expect_size=\"41976832\"] \n  21 [size=\"64232107\", alpha=\"0.04\", expect_size=\"19269632\"] \n  21 -> 25 [size =\"19269632\"]\n  22 [size=\"96221867\", alpha=\"0.13\", expect_size=\"28866560\"] \n  23 [size=\"159692800\", alpha=\"0.14\", expect_size=\"47907840\"] \n  24 [size=\"163553280\", alpha=\"0.19\", expect_size=\"49065984\"] \n  25 [size=\"145148587\", alpha=\"0.11\", expect_size=\"43544576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17375232\", alpha=\"0.04\", expect_size=\"8687616\"] \n  1 -> 2 [size =\"8687616\"]\n  2 [size=\"58873856\", alpha=\"0.20\", expect_size=\"29436928\"] \n  2 -> 3 [size =\"29436928\"]\n  3 [size=\"45705216\", alpha=\"0.17\", expect_size=\"22852608\"] \n  3 -> 4 [size =\"22852608\"]\n  4 [size=\"27168768\", alpha=\"0.05\", expect_size=\"13584384\"] \n  4 -> 5 [size =\"13584384\"]\n  5 [size=\"30558208\", alpha=\"0.17\", expect_size=\"15279104\"] \n  5 -> 6 [size =\"15279104\"]\n  6 [size=\"51044352\", alpha=\"0.16\", expect_size=\"25522176\"] \n  6 -> 7 [size =\"25522176\"]\n  7 [size=\"100679680\", alpha=\"0.12\", expect_size=\"50339840\"] \n  7 -> 8 [size =\"50339840\"]\n  8 [size=\"77938688\", alpha=\"0.17\", expect_size=\"38969344\"] \n  8 -> 9 [size =\"38969344\"]\n  9 [size=\"72200192\", alpha=\"0.12\", expect_size=\"36100096\"] \n  9 -> 10 [size =\"36100096\"]\n  10 [size=\"93919232\", alpha=\"0.16\", expect_size=\"46959616\"] \n  10 -> 11 [size =\"46959616\"]\n  11 [size=\"97681408\", alpha=\"0.03\", expect_size=\"48840704\"] \n  11 -> 12 [size =\"48840704\"]\n  12 [size=\"23898112\", alpha=\"0.17\", expect_size=\"11949056\"] \n  12 -> 13 [size =\"11949056\"]\n  13 [size=\"23341056\", alpha=\"0.16\", expect_size=\"11670528\"] \n  13 -> 14 [size =\"11670528\"]\n  14 [size=\"101980160\", alpha=\"0.06\", expect_size=\"50990080\"] \n  14 -> 15 [size =\"50990080\"]\n  15 [size=\"30337024\", alpha=\"0.12\", expect_size=\"15168512\"] \n  15 -> 16 [size =\"15168512\"]\n  16 [size=\"15861760\", alpha=\"0.11\", expect_size=\"7930880\"] \n  16 -> 17 [size =\"7930880\"]\n  17 [size=\"90707968\", alpha=\"0.19\", expect_size=\"45353984\"] \n  17 -> 18 [size =\"45353984\"]\n  18 [size=\"51748864\", alpha=\"0.15\", expect_size=\"25874432\"] \n  18 -> 19 [size =\"25874432\"]\n  19 [size=\"39262208\", alpha=\"0.14\", expect_size=\"19631104\"] \n  19 -> 20 [size =\"19631104\"]\n  20 [size=\"94873600\", alpha=\"0.07\", expect_size=\"47436800\"] \n  20 -> 21 [size =\"47436800\"]\n  21 [size=\"76658688\", alpha=\"0.01\", expect_size=\"38329344\"] \n  21 -> 22 [size =\"38329344\"]\n  22 [size=\"92610560\", alpha=\"0.06\", expect_size=\"46305280\"] \n  22 -> 23 [size =\"46305280\"]\n  23 [size=\"79085568\", alpha=\"0.18\", expect_size=\"39542784\"] \n  23 -> 24 [size =\"39542784\"]\n  24 [size=\"61526016\", alpha=\"0.13\", expect_size=\"30763008\"] \n  24 -> 25 [size =\"30763008\"]\n  25 [size=\"91795456\", alpha=\"0.13\", expect_size=\"45897728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39848960\", alpha=\"0.13\", expect_size=\"15939584\"] \n  1 -> 3 [size =\"15939584\"]\n  2 [size=\"105336320\", alpha=\"0.11\", expect_size=\"42134528\"] \n  2 -> 4 [size =\"42134528\"]\n  3 [size=\"106393600\", alpha=\"0.16\", expect_size=\"42557440\"] \n  3 -> 5 [size =\"42557440\"]\n  3 -> 6 [size =\"42557440\"]\n  4 [size=\"110415360\", alpha=\"0.01\", expect_size=\"44166144\"] \n  4 -> 7 [size =\"44166144\"]\n  5 [size=\"58516480\", alpha=\"0.12\", expect_size=\"23406592\"] \n  5 -> 8 [size =\"23406592\"]\n  5 -> 12 [size =\"23406592\"]\n  6 [size=\"69969920\", alpha=\"0.01\", expect_size=\"27987968\"] \n  6 -> 9 [size =\"27987968\"]\n  6 -> 10 [size =\"27987968\"]\n  7 [size=\"49413120\", alpha=\"0.05\", expect_size=\"19765248\"] \n  7 -> 8 [size =\"19765248\"]\n  7 -> 10 [size =\"19765248\"]\n  7 -> 11 [size =\"19765248\"]\n  8 [size=\"53995520\", alpha=\"0.06\", expect_size=\"21598208\"] \n  8 -> 13 [size =\"21598208\"]\n  9 [size=\"66024960\", alpha=\"0.06\", expect_size=\"26409984\"] \n  9 -> 15 [size =\"26409984\"]\n  10 [size=\"116193280\", alpha=\"0.11\", expect_size=\"46477312\"] \n  10 -> 14 [size =\"46477312\"]\n  10 -> 15 [size =\"46477312\"]\n  11 [size=\"102737920\", alpha=\"0.19\", expect_size=\"41095168\"] \n  12 [size=\"63329280\", alpha=\"0.16\", expect_size=\"25331712\"] \n  13 [size=\"13117440\", alpha=\"0.20\", expect_size=\"5246976\"] \n  14 [size=\"107023360\", alpha=\"0.17\", expect_size=\"42809344\"] \n  14 -> 16 [size =\"42809344\"]\n  14 -> 17 [size =\"42809344\"]\n  15 [size=\"110213120\", alpha=\"0.14\", expect_size=\"44085248\"] \n  15 -> 18 [size =\"44085248\"]\n  16 [size=\"61928960\", alpha=\"0.05\", expect_size=\"24771584\"] \n  16 -> 19 [size =\"24771584\"]\n  17 [size=\"69511680\", alpha=\"0.18\", expect_size=\"27804672\"] \n  17 -> 20 [size =\"27804672\"]\n  18 [size=\"97548800\", alpha=\"0.03\", expect_size=\"39019520\"] \n  18 -> 19 [size =\"39019520\"]\n  18 -> 20 [size =\"39019520\"]\n  18 -> 21 [size =\"39019520\"]\n  19 [size=\"17743360\", alpha=\"0.18\", expect_size=\"7097344\"] \n  19 -> 23 [size =\"7097344\"]\n  20 [size=\"50488320\", alpha=\"0.19\", expect_size=\"20195328\"] \n  20 -> 22 [size =\"20195328\"]\n  20 -> 23 [size =\"20195328\"]\n  20 -> 25 [size =\"20195328\"]\n  21 [size=\"115105280\", alpha=\"0.05\", expect_size=\"46042112\"] \n  21 -> 22 [size =\"46042112\"]\n  21 -> 24 [size =\"46042112\"]\n  22 [size=\"109063680\", alpha=\"0.07\", expect_size=\"43625472\"] \n  23 [size=\"84835840\", alpha=\"0.05\", expect_size=\"33934336\"] \n  24 [size=\"84044800\", alpha=\"0.19\", expect_size=\"33617920\"] \n  25 [size=\"65525760\", alpha=\"0.01\", expect_size=\"26210304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71929856\", alpha=\"0.14\", expect_size=\"35964928\"] \n  1 -> 2 [size =\"35964928\"]\n  1 -> 3 [size =\"35964928\"]\n  2 [size=\"42637312\", alpha=\"0.09\", expect_size=\"21318656\"] \n  3 [size=\"103342080\", alpha=\"0.09\", expect_size=\"51671040\"] \n  3 -> 4 [size =\"51671040\"]\n  4 [size=\"58396672\", alpha=\"0.10\", expect_size=\"29198336\"] \n  4 -> 5 [size =\"29198336\"]\n  5 [size=\"48607232\", alpha=\"0.20\", expect_size=\"24303616\"] \n  5 -> 6 [size =\"24303616\"]\n  5 -> 7 [size =\"24303616\"]\n  6 [size=\"76746752\", alpha=\"0.01\", expect_size=\"38373376\"] \n  6 -> 8 [size =\"38373376\"]\n  6 -> 9 [size =\"38373376\"]\n  7 [size=\"85139456\", alpha=\"0.16\", expect_size=\"42569728\"] \n  7 -> 9 [size =\"42569728\"]\n  8 [size=\"83791872\", alpha=\"0.13\", expect_size=\"41895936\"] \n  9 [size=\"89686016\", alpha=\"0.05\", expect_size=\"44843008\"] \n  9 -> 10 [size =\"44843008\"]\n  9 -> 11 [size =\"44843008\"]\n  10 [size=\"102797312\", alpha=\"0.10\", expect_size=\"51398656\"] \n  10 -> 12 [size =\"51398656\"]\n  11 [size=\"65667072\", alpha=\"0.07\", expect_size=\"32833536\"] \n  11 -> 13 [size =\"32833536\"]\n  12 [size=\"39485440\", alpha=\"0.18\", expect_size=\"19742720\"] \n  12 -> 14 [size =\"19742720\"]\n  12 -> 15 [size =\"19742720\"]\n  13 [size=\"82829312\", alpha=\"0.12\", expect_size=\"41414656\"] \n  13 -> 14 [size =\"41414656\"]\n  13 -> 15 [size =\"41414656\"]\n  14 [size=\"33036288\", alpha=\"0.06\", expect_size=\"16518144\"] \n  15 [size=\"81772544\", alpha=\"0.15\", expect_size=\"40886272\"] \n  15 -> 16 [size =\"40886272\"]\n  16 [size=\"79583232\", alpha=\"0.03\", expect_size=\"39791616\"] \n  16 -> 17 [size =\"39791616\"]\n  17 [size=\"82339840\", alpha=\"0.06\", expect_size=\"41169920\"] \n  17 -> 18 [size =\"41169920\"]\n  17 -> 19 [size =\"41169920\"]\n  18 [size=\"65646592\", alpha=\"0.09\", expect_size=\"32823296\"] \n  18 -> 20 [size =\"32823296\"]\n  19 [size=\"33032192\", alpha=\"0.16\", expect_size=\"16516096\"] \n  20 [size=\"56887296\", alpha=\"0.15\", expect_size=\"28443648\"] \n  20 -> 21 [size =\"28443648\"]\n  20 -> 22 [size =\"28443648\"]\n  21 [size=\"11433984\", alpha=\"0.08\", expect_size=\"5716992\"] \n  22 [size=\"45606912\", alpha=\"0.08\", expect_size=\"22803456\"] \n  22 -> 23 [size =\"22803456\"]\n  23 [size=\"34340864\", alpha=\"0.07\", expect_size=\"17170432\"] \n  23 -> 24 [size =\"17170432\"]\n  23 -> 25 [size =\"17170432\"]\n  24 [size=\"90204160\", alpha=\"0.17\", expect_size=\"45102080\"] \n  25 [size=\"24545280\", alpha=\"0.15\", expect_size=\"12272640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169929387\", alpha=\"0.18\", expect_size=\"50978816\"] \n  1 -> 2 [size =\"50978816\"]\n  2 [size=\"110745600\", alpha=\"0.14\", expect_size=\"33223680\"] \n  2 -> 3 [size =\"33223680\"]\n  3 [size=\"113298773\", alpha=\"0.18\", expect_size=\"33989632\"] \n  3 -> 4 [size =\"33989632\"]\n  4 [size=\"149613227\", alpha=\"0.02\", expect_size=\"44883968\"] \n  4 -> 5 [size =\"44883968\"]\n  5 [size=\"25367893\", alpha=\"0.01\", expect_size=\"7610368\"] \n  5 -> 6 [size =\"7610368\"]\n  6 [size=\"62300160\", alpha=\"0.20\", expect_size=\"18690048\"] \n  6 -> 7 [size =\"18690048\"]\n  7 [size=\"53719040\", alpha=\"0.05\", expect_size=\"16115712\"] \n  7 -> 8 [size =\"16115712\"]\n  8 [size=\"58565973\", alpha=\"0.13\", expect_size=\"17569792\"] \n  8 -> 9 [size =\"17569792\"]\n  9 [size=\"155364693\", alpha=\"0.16\", expect_size=\"46609408\"] \n  9 -> 10 [size =\"46609408\"]\n  10 [size=\"167287467\", alpha=\"0.05\", expect_size=\"50186240\"] \n  10 -> 11 [size =\"50186240\"]\n  11 [size=\"79455573\", alpha=\"0.08\", expect_size=\"23836672\"] \n  11 -> 12 [size =\"23836672\"]\n  12 [size=\"66836480\", alpha=\"0.10\", expect_size=\"20050944\"] \n  12 -> 13 [size =\"20050944\"]\n  13 [size=\"23401813\", alpha=\"0.07\", expect_size=\"7020544\"] \n  13 -> 14 [size =\"7020544\"]\n  14 [size=\"162536107\", alpha=\"0.07\", expect_size=\"48760832\"] \n  14 -> 15 [size =\"48760832\"]\n  15 [size=\"24692053\", alpha=\"0.08\", expect_size=\"7407616\"] \n  15 -> 16 [size =\"7407616\"]\n  16 [size=\"35693227\", alpha=\"0.03\", expect_size=\"10707968\"] \n  16 -> 17 [size =\"10707968\"]\n  17 [size=\"35160747\", alpha=\"0.14\", expect_size=\"10548224\"] \n  17 -> 18 [size =\"10548224\"]\n  18 [size=\"74577920\", alpha=\"0.05\", expect_size=\"22373376\"] \n  18 -> 19 [size =\"22373376\"]\n  19 [size=\"173458773\", alpha=\"0.20\", expect_size=\"52037632\"] \n  19 -> 20 [size =\"52037632\"]\n  20 [size=\"141735253\", alpha=\"0.12\", expect_size=\"42520576\"] \n  20 -> 21 [size =\"42520576\"]\n  21 [size=\"25183573\", alpha=\"0.04\", expect_size=\"7555072\"] \n  21 -> 22 [size =\"7555072\"]\n  22 [size=\"87876267\", alpha=\"0.07\", expect_size=\"26362880\"] \n  22 -> 23 [size =\"26362880\"]\n  23 [size=\"165188267\", alpha=\"0.03\", expect_size=\"49556480\"] \n  23 -> 24 [size =\"49556480\"]\n  24 [size=\"60825600\", alpha=\"0.16\", expect_size=\"18247680\"] \n  24 -> 25 [size =\"18247680\"]\n  25 [size=\"114292053\", alpha=\"0.09\", expect_size=\"34287616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95629312\", alpha=\"0.20\", expect_size=\"47814656\"] \n  1 -> 2 [size =\"47814656\"]\n  1 -> 3 [size =\"47814656\"]\n  2 [size=\"86870016\", alpha=\"0.16\", expect_size=\"43435008\"] \n  2 -> 4 [size =\"43435008\"]\n  3 [size=\"29102080\", alpha=\"0.08\", expect_size=\"14551040\"] \n  3 -> 4 [size =\"14551040\"]\n  4 [size=\"15458304\", alpha=\"0.15\", expect_size=\"7729152\"] \n  4 -> 5 [size =\"7729152\"]\n  5 [size=\"30613504\", alpha=\"0.00\", expect_size=\"15306752\"] \n  5 -> 6 [size =\"15306752\"]\n  6 [size=\"85073920\", alpha=\"0.07\", expect_size=\"42536960\"] \n  6 -> 7 [size =\"42536960\"]\n  7 [size=\"87463936\", alpha=\"0.06\", expect_size=\"43731968\"] \n  7 -> 8 [size =\"43731968\"]\n  7 -> 9 [size =\"43731968\"]\n  8 [size=\"54528000\", alpha=\"0.04\", expect_size=\"27264000\"] \n  8 -> 10 [size =\"27264000\"]\n  8 -> 11 [size =\"27264000\"]\n  9 [size=\"74958848\", alpha=\"0.09\", expect_size=\"37479424\"] \n  9 -> 11 [size =\"37479424\"]\n  10 [size=\"16195584\", alpha=\"0.08\", expect_size=\"8097792\"] \n  10 -> 12 [size =\"8097792\"]\n  10 -> 13 [size =\"8097792\"]\n  11 [size=\"51709952\", alpha=\"0.18\", expect_size=\"25854976\"] \n  11 -> 12 [size =\"25854976\"]\n  12 [size=\"50454528\", alpha=\"0.11\", expect_size=\"25227264\"] \n  12 -> 15 [size =\"25227264\"]\n  13 [size=\"30980096\", alpha=\"0.19\", expect_size=\"15490048\"] \n  13 -> 14 [size =\"15490048\"]\n  13 -> 15 [size =\"15490048\"]\n  14 [size=\"70920192\", alpha=\"0.05\", expect_size=\"35460096\"] \n  15 [size=\"49422336\", alpha=\"0.04\", expect_size=\"24711168\"] \n  15 -> 16 [size =\"24711168\"]\n  16 [size=\"49770496\", alpha=\"0.08\", expect_size=\"24885248\"] \n  16 -> 17 [size =\"24885248\"]\n  16 -> 18 [size =\"24885248\"]\n  17 [size=\"84961280\", alpha=\"0.16\", expect_size=\"42480640\"] \n  17 -> 19 [size =\"42480640\"]\n  18 [size=\"19150848\", alpha=\"0.15\", expect_size=\"9575424\"] \n  18 -> 19 [size =\"9575424\"]\n  19 [size=\"38387712\", alpha=\"0.09\", expect_size=\"19193856\"] \n  19 -> 20 [size =\"19193856\"]\n  20 [size=\"80695296\", alpha=\"0.17\", expect_size=\"40347648\"] \n  20 -> 21 [size =\"40347648\"]\n  20 -> 22 [size =\"40347648\"]\n  21 [size=\"23502848\", alpha=\"0.04\", expect_size=\"11751424\"] \n  21 -> 23 [size =\"11751424\"]\n  21 -> 24 [size =\"11751424\"]\n  22 [size=\"13170688\", alpha=\"0.06\", expect_size=\"6585344\"] \n  22 -> 23 [size =\"6585344\"]\n  22 -> 24 [size =\"6585344\"]\n  23 [size=\"66809856\", alpha=\"0.13\", expect_size=\"33404928\"] \n  23 -> 25 [size =\"33404928\"]\n  24 [size=\"63176704\", alpha=\"0.01\", expect_size=\"31588352\"] \n  24 -> 25 [size =\"31588352\"]\n  25 [size=\"87998464\", alpha=\"0.12\", expect_size=\"43999232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89340587\", alpha=\"0.03\", expect_size=\"26802176\"] \n  1 -> 3 [size =\"26802176\"]\n  2 [size=\"47813973\", alpha=\"0.11\", expect_size=\"14344192\"] \n  3 [size=\"22903467\", alpha=\"0.02\", expect_size=\"6871040\"] \n  3 -> 4 [size =\"6871040\"]\n  4 [size=\"60255573\", alpha=\"0.06\", expect_size=\"18076672\"] \n  4 -> 5 [size =\"18076672\"]\n  4 -> 6 [size =\"18076672\"]\n  5 [size=\"20213760\", alpha=\"0.08\", expect_size=\"6064128\"] \n  5 -> 7 [size =\"6064128\"]\n  5 -> 8 [size =\"6064128\"]\n  6 [size=\"63685973\", alpha=\"0.02\", expect_size=\"19105792\"] \n  6 -> 7 [size =\"19105792\"]\n  6 -> 8 [size =\"19105792\"]\n  7 [size=\"107973973\", alpha=\"0.15\", expect_size=\"32392192\"] \n  7 -> 9 [size =\"32392192\"]\n  8 [size=\"42096640\", alpha=\"0.20\", expect_size=\"12628992\"] \n  8 -> 9 [size =\"12628992\"]\n  9 [size=\"50892800\", alpha=\"0.03\", expect_size=\"15267840\"] \n  9 -> 10 [size =\"15267840\"]\n  10 [size=\"80872107\", alpha=\"0.08\", expect_size=\"24261632\"] \n  10 -> 11 [size =\"24261632\"]\n  10 -> 12 [size =\"24261632\"]\n  11 [size=\"37253120\", alpha=\"0.14\", expect_size=\"11175936\"] \n  11 -> 14 [size =\"11175936\"]\n  12 [size=\"64000000\", alpha=\"0.10\", expect_size=\"19200000\"] \n  12 -> 13 [size =\"19200000\"]\n  12 -> 14 [size =\"19200000\"]\n  13 [size=\"150715733\", alpha=\"0.06\", expect_size=\"45214720\"] \n  14 [size=\"166348800\", alpha=\"0.11\", expect_size=\"49904640\"] \n  14 -> 15 [size =\"49904640\"]\n  15 [size=\"53015893\", alpha=\"0.06\", expect_size=\"15904768\"] \n  15 -> 16 [size =\"15904768\"]\n  16 [size=\"119176533\", alpha=\"0.20\", expect_size=\"35752960\"] \n  16 -> 17 [size =\"35752960\"]\n  17 [size=\"137168213\", alpha=\"0.19\", expect_size=\"41150464\"] \n  17 -> 18 [size =\"41150464\"]\n  17 -> 19 [size =\"41150464\"]\n  18 [size=\"95986347\", alpha=\"0.04\", expect_size=\"28795904\"] \n  18 -> 20 [size =\"28795904\"]\n  19 [size=\"95822507\", alpha=\"0.04\", expect_size=\"28746752\"] \n  19 -> 20 [size =\"28746752\"]\n  20 [size=\"116452693\", alpha=\"0.19\", expect_size=\"34935808\"] \n  20 -> 21 [size =\"34935808\"]\n  21 [size=\"23726080\", alpha=\"0.03\", expect_size=\"7117824\"] \n  21 -> 22 [size =\"7117824\"]\n  21 -> 23 [size =\"7117824\"]\n  22 [size=\"133826560\", alpha=\"0.11\", expect_size=\"40147968\"] \n  23 [size=\"55156053\", alpha=\"0.19\", expect_size=\"16546816\"] \n  23 -> 24 [size =\"16546816\"]\n  24 [size=\"103881387\", alpha=\"0.13\", expect_size=\"31164416\"] \n  24 -> 25 [size =\"31164416\"]\n  25 [size=\"30365013\", alpha=\"0.08\", expect_size=\"9109504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94826496\", alpha=\"0.15\", expect_size=\"47413248\"] \n  1 -> 20 [size =\"47413248\"]\n  1 -> 21 [size =\"47413248\"]\n  1 -> 23 [size =\"47413248\"]\n  1 -> 24 [size =\"47413248\"]\n  2 [size=\"41226240\", alpha=\"0.14\", expect_size=\"20613120\"] \n  2 -> 19 [size =\"20613120\"]\n  2 -> 20 [size =\"20613120\"]\n  2 -> 21 [size =\"20613120\"]\n  2 -> 22 [size =\"20613120\"]\n  2 -> 24 [size =\"20613120\"]\n  3 [size=\"31019008\", alpha=\"0.17\", expect_size=\"15509504\"] \n  3 -> 20 [size =\"15509504\"]\n  3 -> 21 [size =\"15509504\"]\n  3 -> 22 [size =\"15509504\"]\n  3 -> 22 [size =\"15509504\"]\n  3 -> 25 [size =\"15509504\"]\n  4 [size=\"28112896\", alpha=\"0.20\", expect_size=\"14056448\"] \n  4 -> 19 [size =\"14056448\"]\n  4 -> 21 [size =\"14056448\"]\n  4 -> 22 [size =\"14056448\"]\n  4 -> 24 [size =\"14056448\"]\n  5 [size=\"22659072\", alpha=\"0.11\", expect_size=\"11329536\"] \n  5 -> 20 [size =\"11329536\"]\n  5 -> 21 [size =\"11329536\"]\n  5 -> 22 [size =\"11329536\"]\n  5 -> 23 [size =\"11329536\"]\n  5 -> 25 [size =\"11329536\"]\n  6 [size=\"17022976\", alpha=\"0.09\", expect_size=\"8511488\"] \n  6 -> 21 [size =\"8511488\"]\n  6 -> 22 [size =\"8511488\"]\n  6 -> 22 [size =\"8511488\"]\n  7 [size=\"26808320\", alpha=\"0.15\", expect_size=\"13404160\"] \n  7 -> 19 [size =\"13404160\"]\n  7 -> 20 [size =\"13404160\"]\n  7 -> 21 [size =\"13404160\"]\n  7 -> 22 [size =\"13404160\"]\n  8 [size=\"71380992\", alpha=\"0.14\", expect_size=\"35690496\"] \n  8 -> 20 [size =\"35690496\"]\n  8 -> 22 [size =\"35690496\"]\n  9 [size=\"16496640\", alpha=\"0.18\", expect_size=\"8248320\"] \n  9 -> 19 [size =\"8248320\"]\n  9 -> 22 [size =\"8248320\"]\n  9 -> 23 [size =\"8248320\"]\n  9 -> 25 [size =\"8248320\"]\n  10 [size=\"102248448\", alpha=\"0.08\", expect_size=\"51124224\"] \n  10 -> 22 [size =\"51124224\"]\n  10 -> 25 [size =\"51124224\"]\n  11 [size=\"58185728\", alpha=\"0.13\", expect_size=\"29092864\"] \n  11 -> 20 [size =\"29092864\"]\n  12 [size=\"32964608\", alpha=\"0.08\", expect_size=\"16482304\"] \n  12 -> 19 [size =\"16482304\"]\n  12 -> 20 [size =\"16482304\"]\n  12 -> 21 [size =\"16482304\"]\n  12 -> 23 [size =\"16482304\"]\n  12 -> 25 [size =\"16482304\"]\n  13 [size=\"98115584\", alpha=\"0.06\", expect_size=\"49057792\"] \n  13 -> 19 [size =\"49057792\"]\n  13 -> 20 [size =\"49057792\"]\n  13 -> 21 [size =\"49057792\"]\n  13 -> 23 [size =\"49057792\"]\n  13 -> 24 [size =\"49057792\"]\n  13 -> 25 [size =\"49057792\"]\n  14 [size=\"81995776\", alpha=\"0.07\", expect_size=\"40997888\"] \n  14 -> 19 [size =\"40997888\"]\n  14 -> 20 [size =\"40997888\"]\n  14 -> 21 [size =\"40997888\"]\n  14 -> 22 [size =\"40997888\"]\n  14 -> 23 [size =\"40997888\"]\n  14 -> 25 [size =\"40997888\"]\n  15 [size=\"81788928\", alpha=\"0.06\", expect_size=\"40894464\"] \n  15 -> 19 [size =\"40894464\"]\n  15 -> 20 [size =\"40894464\"]\n  15 -> 21 [size =\"40894464\"]\n  15 -> 22 [size =\"40894464\"]\n  15 -> 23 [size =\"40894464\"]\n  15 -> 25 [size =\"40894464\"]\n  16 [size=\"39790592\", alpha=\"0.13\", expect_size=\"19895296\"] \n  16 -> 19 [size =\"19895296\"]\n  16 -> 25 [size =\"19895296\"]\n  17 [size=\"80222208\", alpha=\"0.09\", expect_size=\"40111104\"] \n  17 -> 20 [size =\"40111104\"]\n  17 -> 21 [size =\"40111104\"]\n  17 -> 22 [size =\"40111104\"]\n  17 -> 24 [size =\"40111104\"]\n  17 -> 25 [size =\"40111104\"]\n  18 [size=\"54501376\", alpha=\"0.02\", expect_size=\"27250688\"] \n  18 -> 21 [size =\"27250688\"]\n  19 [size=\"23853056\", alpha=\"0.05\", expect_size=\"11926528\"] \n  20 [size=\"12828672\", alpha=\"0.12\", expect_size=\"6414336\"] \n  21 [size=\"52006912\", alpha=\"0.16\", expect_size=\"26003456\"] \n  22 [size=\"16658432\", alpha=\"0.07\", expect_size=\"8329216\"] \n  23 [size=\"53182464\", alpha=\"0.03\", expect_size=\"26591232\"] \n  24 [size=\"81846272\", alpha=\"0.02\", expect_size=\"40923136\"] \n  25 [size=\"21737472\", alpha=\"0.04\", expect_size=\"10868736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44464640\", alpha=\"0.16\", expect_size=\"17785856\"] \n  1 -> 5 [size =\"17785856\"]\n  1 -> 6 [size =\"17785856\"]\n  1 -> 7 [size =\"17785856\"]\n  1 -> 10 [size =\"17785856\"]\n  1 -> 11 [size =\"17785856\"]\n  2 [size=\"101498880\", alpha=\"0.10\", expect_size=\"40599552\"] \n  2 -> 5 [size =\"40599552\"]\n  2 -> 9 [size =\"40599552\"]\n  2 -> 11 [size =\"40599552\"]\n  2 -> 12 [size =\"40599552\"]\n  3 [size=\"58869760\", alpha=\"0.17\", expect_size=\"23547904\"] \n  3 -> 5 [size =\"23547904\"]\n  3 -> 7 [size =\"23547904\"]\n  3 -> 8 [size =\"23547904\"]\n  3 -> 9 [size =\"23547904\"]\n  3 -> 11 [size =\"23547904\"]\n  3 -> 12 [size =\"23547904\"]\n  4 [size=\"113512960\", alpha=\"0.03\", expect_size=\"45405184\"] \n  4 -> 5 [size =\"45405184\"]\n  4 -> 6 [size =\"45405184\"]\n  4 -> 7 [size =\"45405184\"]\n  4 -> 8 [size =\"45405184\"]\n  4 -> 10 [size =\"45405184\"]\n  4 -> 12 [size =\"45405184\"]\n  5 [size=\"109296640\", alpha=\"0.13\", expect_size=\"43718656\"] \n  5 -> 14 [size =\"43718656\"]\n  5 -> 16 [size =\"43718656\"]\n  5 -> 17 [size =\"43718656\"]\n  5 -> 19 [size =\"43718656\"]\n  5 -> 20 [size =\"43718656\"]\n  5 -> 21 [size =\"43718656\"]\n  6 [size=\"77808640\", alpha=\"0.09\", expect_size=\"31123456\"] \n  6 -> 13 [size =\"31123456\"]\n  6 -> 14 [size =\"31123456\"]\n  6 -> 15 [size =\"31123456\"]\n  6 -> 16 [size =\"31123456\"]\n  6 -> 19 [size =\"31123456\"]\n  6 -> 20 [size =\"31123456\"]\n  6 -> 21 [size =\"31123456\"]\n  7 [size=\"87654400\", alpha=\"0.15\", expect_size=\"35061760\"] \n  7 -> 13 [size =\"35061760\"]\n  7 -> 16 [size =\"35061760\"]\n  7 -> 17 [size =\"35061760\"]\n  7 -> 18 [size =\"35061760\"]\n  7 -> 19 [size =\"35061760\"]\n  8 [size=\"73551360\", alpha=\"0.00\", expect_size=\"29420544\"] \n  8 -> 13 [size =\"29420544\"]\n  8 -> 14 [size =\"29420544\"]\n  8 -> 15 [size =\"29420544\"]\n  8 -> 16 [size =\"29420544\"]\n  8 -> 18 [size =\"29420544\"]\n  8 -> 19 [size =\"29420544\"]\n  8 -> 20 [size =\"29420544\"]\n  9 [size=\"73226240\", alpha=\"0.03\", expect_size=\"29290496\"] \n  9 -> 16 [size =\"29290496\"]\n  9 -> 18 [size =\"29290496\"]\n  9 -> 19 [size =\"29290496\"]\n  9 -> 20 [size =\"29290496\"]\n  10 [size=\"77544960\", alpha=\"0.13\", expect_size=\"31017984\"] \n  10 -> 14 [size =\"31017984\"]\n  10 -> 15 [size =\"31017984\"]\n  10 -> 16 [size =\"31017984\"]\n  10 -> 17 [size =\"31017984\"]\n  10 -> 18 [size =\"31017984\"]\n  10 -> 21 [size =\"31017984\"]\n  11 [size=\"71226880\", alpha=\"0.10\", expect_size=\"28490752\"] \n  11 -> 13 [size =\"28490752\"]\n  11 -> 14 [size =\"28490752\"]\n  11 -> 15 [size =\"28490752\"]\n  11 -> 18 [size =\"28490752\"]\n  11 -> 18 [size =\"28490752\"]\n  11 -> 20 [size =\"28490752\"]\n  12 [size=\"45680640\", alpha=\"0.07\", expect_size=\"18272256\"] \n  12 -> 14 [size =\"18272256\"]\n  12 -> 14 [size =\"18272256\"]\n  12 -> 16 [size =\"18272256\"]\n  12 -> 17 [size =\"18272256\"]\n  12 -> 18 [size =\"18272256\"]\n  12 -> 19 [size =\"18272256\"]\n  12 -> 21 [size =\"18272256\"]\n  13 [size=\"105047040\", alpha=\"0.13\", expect_size=\"42018816\"] \n  13 -> 23 [size =\"42018816\"]\n  13 -> 24 [size =\"42018816\"]\n  13 -> 25 [size =\"42018816\"]\n  14 [size=\"88704000\", alpha=\"0.15\", expect_size=\"35481600\"] \n  14 -> 22 [size =\"35481600\"]\n  14 -> 23 [size =\"35481600\"]\n  14 -> 24 [size =\"35481600\"]\n  15 [size=\"108695040\", alpha=\"0.13\", expect_size=\"43478016\"] \n  15 -> 22 [size =\"43478016\"]\n  15 -> 23 [size =\"43478016\"]\n  16 [size=\"68295680\", alpha=\"0.06\", expect_size=\"27318272\"] \n  16 -> 22 [size =\"27318272\"]\n  16 -> 23 [size =\"27318272\"]\n  17 [size=\"120993280\", alpha=\"0.11\", expect_size=\"48397312\"] \n  17 -> 23 [size =\"48397312\"]\n  17 -> 24 [size =\"48397312\"]\n  17 -> 25 [size =\"48397312\"]\n  18 [size=\"90560000\", alpha=\"0.11\", expect_size=\"36224000\"] \n  18 -> 23 [size =\"36224000\"]\n  19 [size=\"90567680\", alpha=\"0.14\", expect_size=\"36227072\"] \n  19 -> 22 [size =\"36227072\"]\n  19 -> 23 [size =\"36227072\"]\n  19 -> 24 [size =\"36227072\"]\n  20 [size=\"105891840\", alpha=\"0.06\", expect_size=\"42356736\"] \n  20 -> 22 [size =\"42356736\"]\n  21 [size=\"63336960\", alpha=\"0.03\", expect_size=\"25334784\"] \n  21 -> 25 [size =\"25334784\"]\n  22 [size=\"123179520\", alpha=\"0.14\", expect_size=\"49271808\"] \n  23 [size=\"47575040\", alpha=\"0.14\", expect_size=\"19030016\"] \n  24 [size=\"127088640\", alpha=\"0.10\", expect_size=\"50835456\"] \n  25 [size=\"96186880\", alpha=\"0.03\", expect_size=\"38474752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47435776\", alpha=\"0.03\", expect_size=\"23717888\"] \n  2 [size=\"41398272\", alpha=\"0.02\", expect_size=\"20699136\"] \n  2 -> 5 [size =\"20699136\"]\n  2 -> 6 [size =\"20699136\"]\n  3 [size=\"94097408\", alpha=\"0.12\", expect_size=\"47048704\"] \n  3 -> 5 [size =\"47048704\"]\n  3 -> 6 [size =\"47048704\"]\n  4 [size=\"50745344\", alpha=\"0.18\", expect_size=\"25372672\"] \n  4 -> 6 [size =\"25372672\"]\n  4 -> 6 [size =\"25372672\"]\n  4 -> 7 [size =\"25372672\"]\n  5 [size=\"87527424\", alpha=\"0.14\", expect_size=\"43763712\"] \n  5 -> 8 [size =\"43763712\"]\n  5 -> 9 [size =\"43763712\"]\n  5 -> 11 [size =\"43763712\"]\n  6 [size=\"73461760\", alpha=\"0.01\", expect_size=\"36730880\"] \n  6 -> 8 [size =\"36730880\"]\n  7 [size=\"35358720\", alpha=\"0.14\", expect_size=\"17679360\"] \n  7 -> 8 [size =\"17679360\"]\n  7 -> 10 [size =\"17679360\"]\n  8 [size=\"56272896\", alpha=\"0.11\", expect_size=\"28136448\"] \n  8 -> 12 [size =\"28136448\"]\n  8 -> 13 [size =\"28136448\"]\n  8 -> 15 [size =\"28136448\"]\n  9 [size=\"52695040\", alpha=\"0.10\", expect_size=\"26347520\"] \n  9 -> 13 [size =\"26347520\"]\n  9 -> 14 [size =\"26347520\"]\n  9 -> 15 [size =\"26347520\"]\n  10 [size=\"17784832\", alpha=\"0.00\", expect_size=\"8892416\"] \n  10 -> 12 [size =\"8892416\"]\n  10 -> 13 [size =\"8892416\"]\n  10 -> 14 [size =\"8892416\"]\n  11 [size=\"50290688\", alpha=\"0.13\", expect_size=\"25145344\"] \n  11 -> 12 [size =\"25145344\"]\n  11 -> 13 [size =\"25145344\"]\n  11 -> 14 [size =\"25145344\"]\n  11 -> 15 [size =\"25145344\"]\n  12 [size=\"62560256\", alpha=\"0.14\", expect_size=\"31280128\"] \n  12 -> 16 [size =\"31280128\"]\n  12 -> 17 [size =\"31280128\"]\n  12 -> 18 [size =\"31280128\"]\n  13 [size=\"70664192\", alpha=\"0.09\", expect_size=\"35332096\"] \n  13 -> 16 [size =\"35332096\"]\n  13 -> 18 [size =\"35332096\"]\n  14 [size=\"30740480\", alpha=\"0.13\", expect_size=\"15370240\"] \n  14 -> 16 [size =\"15370240\"]\n  14 -> 18 [size =\"15370240\"]\n  15 [size=\"22968320\", alpha=\"0.02\", expect_size=\"11484160\"] \n  15 -> 17 [size =\"11484160\"]\n  15 -> 18 [size =\"11484160\"]\n  16 [size=\"90906624\", alpha=\"0.20\", expect_size=\"45453312\"] \n  16 -> 19 [size =\"45453312\"]\n  16 -> 20 [size =\"45453312\"]\n  16 -> 22 [size =\"45453312\"]\n  17 [size=\"95172608\", alpha=\"0.14\", expect_size=\"47586304\"] \n  17 -> 20 [size =\"47586304\"]\n  17 -> 21 [size =\"47586304\"]\n  17 -> 22 [size =\"47586304\"]\n  18 [size=\"66392064\", alpha=\"0.20\", expect_size=\"33196032\"] \n  18 -> 19 [size =\"33196032\"]\n  18 -> 22 [size =\"33196032\"]\n  19 [size=\"23318528\", alpha=\"0.08\", expect_size=\"11659264\"] \n  19 -> 23 [size =\"11659264\"]\n  19 -> 24 [size =\"11659264\"]\n  19 -> 25 [size =\"11659264\"]\n  20 [size=\"68749312\", alpha=\"0.03\", expect_size=\"34374656\"] \n  20 -> 23 [size =\"34374656\"]\n  20 -> 25 [size =\"34374656\"]\n  21 [size=\"70754304\", alpha=\"0.06\", expect_size=\"35377152\"] \n  21 -> 23 [size =\"35377152\"]\n  21 -> 25 [size =\"35377152\"]\n  22 [size=\"39968768\", alpha=\"0.15\", expect_size=\"19984384\"] \n  22 -> 23 [size =\"19984384\"]\n  23 [size=\"13654016\", alpha=\"0.02\", expect_size=\"6827008\"] \n  24 [size=\"57237504\", alpha=\"0.18\", expect_size=\"28618752\"] \n  25 [size=\"26025984\", alpha=\"0.10\", expect_size=\"13012992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107741867\", alpha=\"0.17\", expect_size=\"32322560\"] \n  1 -> 10 [size =\"32322560\"]\n  1 -> 12 [size =\"32322560\"]\n  1 -> 13 [size =\"32322560\"]\n  1 -> 15 [size =\"32322560\"]\n  1 -> 16 [size =\"32322560\"]\n  2 [size=\"118360747\", alpha=\"0.05\", expect_size=\"35508224\"] \n  2 -> 9 [size =\"35508224\"]\n  2 -> 10 [size =\"35508224\"]\n  2 -> 11 [size =\"35508224\"]\n  2 -> 13 [size =\"35508224\"]\n  2 -> 15 [size =\"35508224\"]\n  2 -> 16 [size =\"35508224\"]\n  3 [size=\"84261547\", alpha=\"0.01\", expect_size=\"25278464\"] \n  3 -> 9 [size =\"25278464\"]\n  3 -> 11 [size =\"25278464\"]\n  3 -> 12 [size =\"25278464\"]\n  3 -> 13 [size =\"25278464\"]\n  3 -> 15 [size =\"25278464\"]\n  3 -> 16 [size =\"25278464\"]\n  4 [size=\"98665813\", alpha=\"0.11\", expect_size=\"29599744\"] \n  4 -> 9 [size =\"29599744\"]\n  4 -> 12 [size =\"29599744\"]\n  4 -> 13 [size =\"29599744\"]\n  4 -> 15 [size =\"29599744\"]\n  4 -> 16 [size =\"29599744\"]\n  4 -> 16 [size =\"29599744\"]\n  5 [size=\"75933013\", alpha=\"0.15\", expect_size=\"22779904\"] \n  5 -> 9 [size =\"22779904\"]\n  5 -> 11 [size =\"22779904\"]\n  5 -> 15 [size =\"22779904\"]\n  5 -> 16 [size =\"22779904\"]\n  6 [size=\"24944640\", alpha=\"0.07\", expect_size=\"7483392\"] \n  6 -> 9 [size =\"7483392\"]\n  6 -> 12 [size =\"7483392\"]\n  6 -> 13 [size =\"7483392\"]\n  6 -> 15 [size =\"7483392\"]\n  6 -> 16 [size =\"7483392\"]\n  7 [size=\"57780907\", alpha=\"0.19\", expect_size=\"17334272\"] \n  7 -> 9 [size =\"17334272\"]\n  7 -> 10 [size =\"17334272\"]\n  7 -> 12 [size =\"17334272\"]\n  7 -> 14 [size =\"17334272\"]\n  7 -> 15 [size =\"17334272\"]\n  8 [size=\"91238400\", alpha=\"0.12\", expect_size=\"27371520\"] \n  8 -> 10 [size =\"27371520\"]\n  8 -> 11 [size =\"27371520\"]\n  8 -> 14 [size =\"27371520\"]\n  8 -> 14 [size =\"27371520\"]\n  9 [size=\"66102613\", alpha=\"0.10\", expect_size=\"19830784\"] \n  9 -> 17 [size =\"19830784\"]\n  9 -> 18 [size =\"19830784\"]\n  9 -> 19 [size =\"19830784\"]\n  9 -> 20 [size =\"19830784\"]\n  9 -> 21 [size =\"19830784\"]\n  9 -> 22 [size =\"19830784\"]\n  9 -> 23 [size =\"19830784\"]\n  9 -> 24 [size =\"19830784\"]\n  10 [size=\"84275200\", alpha=\"0.18\", expect_size=\"25282560\"] \n  10 -> 18 [size =\"25282560\"]\n  10 -> 18 [size =\"25282560\"]\n  10 -> 20 [size =\"25282560\"]\n  10 -> 20 [size =\"25282560\"]\n  10 -> 23 [size =\"25282560\"]\n  10 -> 24 [size =\"25282560\"]\n  11 [size=\"148961280\", alpha=\"0.09\", expect_size=\"44688384\"] \n  11 -> 18 [size =\"44688384\"]\n  11 -> 21 [size =\"44688384\"]\n  11 -> 23 [size =\"44688384\"]\n  12 [size=\"128805547\", alpha=\"0.05\", expect_size=\"38641664\"] \n  12 -> 18 [size =\"38641664\"]\n  12 -> 20 [size =\"38641664\"]\n  12 -> 21 [size =\"38641664\"]\n  12 -> 23 [size =\"38641664\"]\n  13 [size=\"170277547\", alpha=\"0.11\", expect_size=\"51083264\"] \n  13 -> 17 [size =\"51083264\"]\n  13 -> 20 [size =\"51083264\"]\n  13 -> 21 [size =\"51083264\"]\n  13 -> 22 [size =\"51083264\"]\n  13 -> 23 [size =\"51083264\"]\n  13 -> 24 [size =\"51083264\"]\n  14 [size=\"24487253\", alpha=\"0.02\", expect_size=\"7346176\"] \n  14 -> 18 [size =\"7346176\"]\n  14 -> 20 [size =\"7346176\"]\n  14 -> 21 [size =\"7346176\"]\n  14 -> 22 [size =\"7346176\"]\n  14 -> 23 [size =\"7346176\"]\n  14 -> 24 [size =\"7346176\"]\n  15 [size=\"112192853\", alpha=\"0.06\", expect_size=\"33657856\"] \n  15 -> 18 [size =\"33657856\"]\n  15 -> 19 [size =\"33657856\"]\n  15 -> 20 [size =\"33657856\"]\n  15 -> 22 [size =\"33657856\"]\n  15 -> 23 [size =\"33657856\"]\n  15 -> 24 [size =\"33657856\"]\n  16 [size=\"72628907\", alpha=\"0.04\", expect_size=\"21788672\"] \n  16 -> 18 [size =\"21788672\"]\n  16 -> 19 [size =\"21788672\"]\n  16 -> 20 [size =\"21788672\"]\n  16 -> 21 [size =\"21788672\"]\n  16 -> 22 [size =\"21788672\"]\n  16 -> 23 [size =\"21788672\"]\n  16 -> 24 [size =\"21788672\"]\n  17 [size=\"131317760\", alpha=\"0.12\", expect_size=\"39395328\"] \n  17 -> 25 [size =\"39395328\"]\n  18 [size=\"123054080\", alpha=\"0.05\", expect_size=\"36916224\"] \n  19 [size=\"61201067\", alpha=\"0.07\", expect_size=\"18360320\"] \n  20 [size=\"140216320\", alpha=\"0.13\", expect_size=\"42064896\"] \n  21 [size=\"128375467\", alpha=\"0.10\", expect_size=\"38512640\"] \n  22 [size=\"43642880\", alpha=\"0.00\", expect_size=\"13092864\"] \n  23 [size=\"80919893\", alpha=\"0.19\", expect_size=\"24275968\"] \n  24 [size=\"166891520\", alpha=\"0.08\", expect_size=\"50067456\"] \n  25 [size=\"24739840\", alpha=\"0.04\", expect_size=\"7421952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103540053\", alpha=\"0.19\", expect_size=\"31062016\"] \n  1 -> 11 [size =\"31062016\"]\n  1 -> 17 [size =\"31062016\"]\n  1 -> 19 [size =\"31062016\"]\n  1 -> 21 [size =\"31062016\"]\n  2 [size=\"31423147\", alpha=\"0.18\", expect_size=\"9426944\"] \n  2 -> 14 [size =\"9426944\"]\n  2 -> 19 [size =\"9426944\"]\n  3 [size=\"163242667\", alpha=\"0.13\", expect_size=\"48972800\"] \n  3 -> 13 [size =\"48972800\"]\n  3 -> 14 [size =\"48972800\"]\n  3 -> 15 [size =\"48972800\"]\n  3 -> 17 [size =\"48972800\"]\n  3 -> 18 [size =\"48972800\"]\n  3 -> 19 [size =\"48972800\"]\n  4 [size=\"154026667\", alpha=\"0.11\", expect_size=\"46208000\"] \n  4 -> 13 [size =\"46208000\"]\n  4 -> 14 [size =\"46208000\"]\n  4 -> 18 [size =\"46208000\"]\n  4 -> 19 [size =\"46208000\"]\n  5 [size=\"169714347\", alpha=\"0.15\", expect_size=\"50914304\"] \n  5 -> 13 [size =\"50914304\"]\n  5 -> 15 [size =\"50914304\"]\n  5 -> 17 [size =\"50914304\"]\n  6 [size=\"37024427\", alpha=\"0.11\", expect_size=\"11107328\"] \n  6 -> 12 [size =\"11107328\"]\n  6 -> 13 [size =\"11107328\"]\n  6 -> 15 [size =\"11107328\"]\n  6 -> 16 [size =\"11107328\"]\n  6 -> 20 [size =\"11107328\"]\n  6 -> 21 [size =\"11107328\"]\n  7 [size=\"91252053\", alpha=\"0.12\", expect_size=\"27375616\"] \n  7 -> 11 [size =\"27375616\"]\n  7 -> 12 [size =\"27375616\"]\n  7 -> 14 [size =\"27375616\"]\n  7 -> 15 [size =\"27375616\"]\n  7 -> 16 [size =\"27375616\"]\n  7 -> 19 [size =\"27375616\"]\n  7 -> 20 [size =\"27375616\"]\n  7 -> 21 [size =\"27375616\"]\n  8 [size=\"157757440\", alpha=\"0.12\", expect_size=\"47327232\"] \n  8 -> 11 [size =\"47327232\"]\n  8 -> 12 [size =\"47327232\"]\n  8 -> 15 [size =\"47327232\"]\n  8 -> 17 [size =\"47327232\"]\n  8 -> 18 [size =\"47327232\"]\n  8 -> 21 [size =\"47327232\"]\n  9 [size=\"93033813\", alpha=\"0.05\", expect_size=\"27910144\"] \n  9 -> 13 [size =\"27910144\"]\n  9 -> 17 [size =\"27910144\"]\n  9 -> 18 [size =\"27910144\"]\n  9 -> 19 [size =\"27910144\"]\n  9 -> 20 [size =\"27910144\"]\n  9 -> 21 [size =\"27910144\"]\n  10 [size=\"51145387\", alpha=\"0.04\", expect_size=\"15343616\"] \n  10 -> 12 [size =\"15343616\"]\n  10 -> 15 [size =\"15343616\"]\n  10 -> 16 [size =\"15343616\"]\n  10 -> 18 [size =\"15343616\"]\n  10 -> 20 [size =\"15343616\"]\n  10 -> 21 [size =\"15343616\"]\n  11 [size=\"54934187\", alpha=\"0.13\", expect_size=\"16480256\"] \n  11 -> 23 [size =\"16480256\"]\n  12 [size=\"50879147\", alpha=\"0.18\", expect_size=\"15263744\"] \n  13 [size=\"32327680\", alpha=\"0.07\", expect_size=\"9698304\"] \n  14 [size=\"131123200\", alpha=\"0.09\", expect_size=\"39336960\"] \n  14 -> 24 [size =\"39336960\"]\n  15 [size=\"56698880\", alpha=\"0.03\", expect_size=\"17009664\"] \n  15 -> 22 [size =\"17009664\"]\n  15 -> 23 [size =\"17009664\"]\n  15 -> 24 [size =\"17009664\"]\n  16 [size=\"172929707\", alpha=\"0.01\", expect_size=\"51878912\"] \n  17 [size=\"100515840\", alpha=\"0.04\", expect_size=\"30154752\"] \n  17 -> 23 [size =\"30154752\"]\n  17 -> 25 [size =\"30154752\"]\n  18 [size=\"37085867\", alpha=\"0.12\", expect_size=\"11125760\"] \n  18 -> 23 [size =\"11125760\"]\n  18 -> 24 [size =\"11125760\"]\n  19 [size=\"128054613\", alpha=\"0.02\", expect_size=\"38416384\"] \n  19 -> 22 [size =\"38416384\"]\n  19 -> 23 [size =\"38416384\"]\n  19 -> 24 [size =\"38416384\"]\n  20 [size=\"165034667\", alpha=\"0.08\", expect_size=\"49510400\"] \n  20 -> 23 [size =\"49510400\"]\n  20 -> 24 [size =\"49510400\"]\n  21 [size=\"42953387\", alpha=\"0.05\", expect_size=\"12886016\"] \n  21 -> 22 [size =\"12886016\"]\n  22 [size=\"147258027\", alpha=\"0.04\", expect_size=\"44177408\"] \n  23 [size=\"130174293\", alpha=\"0.01\", expect_size=\"39052288\"] \n  24 [size=\"24934400\", alpha=\"0.16\", expect_size=\"7480320\"] \n  25 [size=\"95034027\", alpha=\"0.10\", expect_size=\"28510208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75859968\", alpha=\"0.08\", expect_size=\"37929984\"] \n  1 -> 11 [size =\"37929984\"]\n  1 -> 18 [size =\"37929984\"]\n  2 [size=\"40396800\", alpha=\"0.10\", expect_size=\"20198400\"] \n  2 -> 14 [size =\"20198400\"]\n  3 [size=\"20236288\", alpha=\"0.19\", expect_size=\"10118144\"] \n  3 -> 15 [size =\"10118144\"]\n  3 -> 18 [size =\"10118144\"]\n  4 [size=\"27392000\", alpha=\"0.00\", expect_size=\"13696000\"] \n  4 -> 10 [size =\"13696000\"]\n  4 -> 11 [size =\"13696000\"]\n  4 -> 12 [size =\"13696000\"]\n  4 -> 18 [size =\"13696000\"]\n  4 -> 19 [size =\"13696000\"]\n  5 [size=\"95121408\", alpha=\"0.15\", expect_size=\"47560704\"] \n  5 -> 13 [size =\"47560704\"]\n  5 -> 16 [size =\"47560704\"]\n  5 -> 17 [size =\"47560704\"]\n  5 -> 18 [size =\"47560704\"]\n  5 -> 19 [size =\"47560704\"]\n  6 [size=\"59740160\", alpha=\"0.04\", expect_size=\"29870080\"] \n  6 -> 13 [size =\"29870080\"]\n  6 -> 14 [size =\"29870080\"]\n  6 -> 15 [size =\"29870080\"]\n  6 -> 17 [size =\"29870080\"]\n  7 [size=\"19021824\", alpha=\"0.17\", expect_size=\"9510912\"] \n  7 -> 10 [size =\"9510912\"]\n  7 -> 12 [size =\"9510912\"]\n  7 -> 16 [size =\"9510912\"]\n  7 -> 17 [size =\"9510912\"]\n  7 -> 19 [size =\"9510912\"]\n  8 [size=\"45021184\", alpha=\"0.00\", expect_size=\"22510592\"] \n  8 -> 11 [size =\"22510592\"]\n  8 -> 12 [size =\"22510592\"]\n  8 -> 13 [size =\"22510592\"]\n  8 -> 17 [size =\"22510592\"]\n  8 -> 19 [size =\"22510592\"]\n  9 [size=\"94328832\", alpha=\"0.18\", expect_size=\"47164416\"] \n  9 -> 10 [size =\"47164416\"]\n  9 -> 11 [size =\"47164416\"]\n  9 -> 14 [size =\"47164416\"]\n  9 -> 17 [size =\"47164416\"]\n  9 -> 19 [size =\"47164416\"]\n  10 [size=\"101615616\", alpha=\"0.14\", expect_size=\"50807808\"] \n  10 -> 22 [size =\"50807808\"]\n  10 -> 25 [size =\"50807808\"]\n  11 [size=\"19718144\", alpha=\"0.00\", expect_size=\"9859072\"] \n  12 [size=\"59271168\", alpha=\"0.17\", expect_size=\"29635584\"] \n  13 [size=\"11790336\", alpha=\"0.16\", expect_size=\"5895168\"] \n  13 -> 21 [size =\"5895168\"]\n  13 -> 22 [size =\"5895168\"]\n  14 [size=\"102053888\", alpha=\"0.00\", expect_size=\"51026944\"] \n  14 -> 20 [size =\"51026944\"]\n  14 -> 22 [size =\"51026944\"]\n  14 -> 25 [size =\"51026944\"]\n  15 [size=\"103514112\", alpha=\"0.13\", expect_size=\"51757056\"] \n  16 [size=\"82192384\", alpha=\"0.07\", expect_size=\"41096192\"] \n  16 -> 22 [size =\"41096192\"]\n  17 [size=\"100343808\", alpha=\"0.08\", expect_size=\"50171904\"] \n  17 -> 23 [size =\"50171904\"]\n  17 -> 24 [size =\"50171904\"]\n  17 -> 25 [size =\"50171904\"]\n  18 [size=\"86069248\", alpha=\"0.06\", expect_size=\"43034624\"] \n  18 -> 20 [size =\"43034624\"]\n  18 -> 22 [size =\"43034624\"]\n  18 -> 25 [size =\"43034624\"]\n  19 [size=\"87007232\", alpha=\"0.20\", expect_size=\"43503616\"] \n  19 -> 23 [size =\"43503616\"]\n  19 -> 25 [size =\"43503616\"]\n  20 [size=\"75460608\", alpha=\"0.04\", expect_size=\"37730304\"] \n  21 [size=\"46778368\", alpha=\"0.03\", expect_size=\"23389184\"] \n  22 [size=\"47521792\", alpha=\"0.08\", expect_size=\"23760896\"] \n  23 [size=\"31637504\", alpha=\"0.15\", expect_size=\"15818752\"] \n  24 [size=\"12478464\", alpha=\"0.06\", expect_size=\"6239232\"] \n  25 [size=\"14721024\", alpha=\"0.14\", expect_size=\"7360512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86638592\", alpha=\"0.13\", expect_size=\"43319296\"] \n  1 -> 2 [size =\"43319296\"]\n  2 [size=\"62746624\", alpha=\"0.09\", expect_size=\"31373312\"] \n  2 -> 3 [size =\"31373312\"]\n  3 [size=\"13987840\", alpha=\"0.16\", expect_size=\"6993920\"] \n  3 -> 4 [size =\"6993920\"]\n  4 [size=\"11444224\", alpha=\"0.02\", expect_size=\"5722112\"] \n  4 -> 5 [size =\"5722112\"]\n  5 [size=\"83267584\", alpha=\"0.16\", expect_size=\"41633792\"] \n  5 -> 6 [size =\"41633792\"]\n  6 [size=\"30636032\", alpha=\"0.18\", expect_size=\"15318016\"] \n  6 -> 7 [size =\"15318016\"]\n  7 [size=\"104718336\", alpha=\"0.08\", expect_size=\"52359168\"] \n  7 -> 8 [size =\"52359168\"]\n  8 [size=\"32659456\", alpha=\"0.04\", expect_size=\"16329728\"] \n  8 -> 9 [size =\"16329728\"]\n  9 [size=\"13457408\", alpha=\"0.14\", expect_size=\"6728704\"] \n  9 -> 10 [size =\"6728704\"]\n  10 [size=\"89884672\", alpha=\"0.01\", expect_size=\"44942336\"] \n  10 -> 11 [size =\"44942336\"]\n  11 [size=\"22663168\", alpha=\"0.18\", expect_size=\"11331584\"] \n  11 -> 12 [size =\"11331584\"]\n  12 [size=\"86337536\", alpha=\"0.00\", expect_size=\"43168768\"] \n  12 -> 13 [size =\"43168768\"]\n  13 [size=\"33019904\", alpha=\"0.02\", expect_size=\"16509952\"] \n  13 -> 14 [size =\"16509952\"]\n  14 [size=\"12140544\", alpha=\"0.15\", expect_size=\"6070272\"] \n  14 -> 15 [size =\"6070272\"]\n  15 [size=\"19898368\", alpha=\"0.08\", expect_size=\"9949184\"] \n  15 -> 16 [size =\"9949184\"]\n  16 [size=\"95594496\", alpha=\"0.11\", expect_size=\"47797248\"] \n  16 -> 17 [size =\"47797248\"]\n  17 [size=\"86841344\", alpha=\"0.03\", expect_size=\"43420672\"] \n  17 -> 18 [size =\"43420672\"]\n  18 [size=\"29290496\", alpha=\"0.01\", expect_size=\"14645248\"] \n  18 -> 19 [size =\"14645248\"]\n  19 [size=\"50259968\", alpha=\"0.16\", expect_size=\"25129984\"] \n  19 -> 20 [size =\"25129984\"]\n  20 [size=\"22380544\", alpha=\"0.09\", expect_size=\"11190272\"] \n  20 -> 21 [size =\"11190272\"]\n  21 [size=\"25972736\", alpha=\"0.18\", expect_size=\"12986368\"] \n  21 -> 22 [size =\"12986368\"]\n  22 [size=\"15282176\", alpha=\"0.18\", expect_size=\"7641088\"] \n  22 -> 23 [size =\"7641088\"]\n  23 [size=\"17035264\", alpha=\"0.18\", expect_size=\"8517632\"] \n  23 -> 24 [size =\"8517632\"]\n  24 [size=\"28372992\", alpha=\"0.19\", expect_size=\"14186496\"] \n  24 -> 25 [size =\"14186496\"]\n  25 [size=\"100876288\", alpha=\"0.16\", expect_size=\"50438144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49326080\", alpha=\"0.20\", expect_size=\"24663040\"] \n  1 -> 9 [size =\"24663040\"]\n  1 -> 10 [size =\"24663040\"]\n  1 -> 13 [size =\"24663040\"]\n  1 -> 14 [size =\"24663040\"]\n  1 -> 15 [size =\"24663040\"]\n  2 [size=\"18851840\", alpha=\"0.02\", expect_size=\"9425920\"] \n  2 -> 9 [size =\"9425920\"]\n  2 -> 10 [size =\"9425920\"]\n  2 -> 14 [size =\"9425920\"]\n  2 -> 16 [size =\"9425920\"]\n  3 [size=\"59166720\", alpha=\"0.02\", expect_size=\"29583360\"] \n  3 -> 9 [size =\"29583360\"]\n  3 -> 10 [size =\"29583360\"]\n  3 -> 12 [size =\"29583360\"]\n  3 -> 13 [size =\"29583360\"]\n  3 -> 14 [size =\"29583360\"]\n  4 [size=\"13320192\", alpha=\"0.03\", expect_size=\"6660096\"] \n  4 -> 12 [size =\"6660096\"]\n  4 -> 14 [size =\"6660096\"]\n  4 -> 15 [size =\"6660096\"]\n  5 [size=\"74975232\", alpha=\"0.14\", expect_size=\"37487616\"] \n  5 -> 9 [size =\"37487616\"]\n  5 -> 10 [size =\"37487616\"]\n  5 -> 11 [size =\"37487616\"]\n  5 -> 12 [size =\"37487616\"]\n  5 -> 14 [size =\"37487616\"]\n  5 -> 15 [size =\"37487616\"]\n  6 [size=\"72863744\", alpha=\"0.18\", expect_size=\"36431872\"] \n  6 -> 9 [size =\"36431872\"]\n  6 -> 11 [size =\"36431872\"]\n  6 -> 13 [size =\"36431872\"]\n  6 -> 16 [size =\"36431872\"]\n  7 [size=\"83988480\", alpha=\"0.15\", expect_size=\"41994240\"] \n  7 -> 9 [size =\"41994240\"]\n  7 -> 11 [size =\"41994240\"]\n  7 -> 14 [size =\"41994240\"]\n  7 -> 15 [size =\"41994240\"]\n  8 [size=\"34621440\", alpha=\"0.11\", expect_size=\"17310720\"] \n  8 -> 9 [size =\"17310720\"]\n  8 -> 10 [size =\"17310720\"]\n  8 -> 14 [size =\"17310720\"]\n  8 -> 16 [size =\"17310720\"]\n  9 [size=\"31922176\", alpha=\"0.13\", expect_size=\"15961088\"] \n  9 -> 17 [size =\"15961088\"]\n  9 -> 19 [size =\"15961088\"]\n  9 -> 22 [size =\"15961088\"]\n  9 -> 23 [size =\"15961088\"]\n  10 [size=\"50589696\", alpha=\"0.02\", expect_size=\"25294848\"] \n  10 -> 17 [size =\"25294848\"]\n  10 -> 19 [size =\"25294848\"]\n  10 -> 22 [size =\"25294848\"]\n  10 -> 23 [size =\"25294848\"]\n  11 [size=\"61016064\", alpha=\"0.07\", expect_size=\"30508032\"] \n  11 -> 19 [size =\"30508032\"]\n  11 -> 21 [size =\"30508032\"]\n  11 -> 22 [size =\"30508032\"]\n  11 -> 23 [size =\"30508032\"]\n  12 [size=\"59107328\", alpha=\"0.03\", expect_size=\"29553664\"] \n  12 -> 18 [size =\"29553664\"]\n  12 -> 19 [size =\"29553664\"]\n  12 -> 20 [size =\"29553664\"]\n  12 -> 21 [size =\"29553664\"]\n  12 -> 22 [size =\"29553664\"]\n  12 -> 23 [size =\"29553664\"]\n  13 [size=\"69261312\", alpha=\"0.02\", expect_size=\"34630656\"] \n  13 -> 17 [size =\"34630656\"]\n  13 -> 20 [size =\"34630656\"]\n  13 -> 21 [size =\"34630656\"]\n  13 -> 21 [size =\"34630656\"]\n  13 -> 23 [size =\"34630656\"]\n  14 [size=\"77070336\", alpha=\"0.11\", expect_size=\"38535168\"] \n  14 -> 21 [size =\"38535168\"]\n  14 -> 24 [size =\"38535168\"]\n  15 [size=\"91205632\", alpha=\"0.08\", expect_size=\"45602816\"] \n  15 -> 20 [size =\"45602816\"]\n  15 -> 21 [size =\"45602816\"]\n  16 [size=\"60622848\", alpha=\"0.00\", expect_size=\"30311424\"] \n  16 -> 17 [size =\"30311424\"]\n  16 -> 18 [size =\"30311424\"]\n  16 -> 22 [size =\"30311424\"]\n  16 -> 23 [size =\"30311424\"]\n  17 [size=\"52119552\", alpha=\"0.12\", expect_size=\"26059776\"] \n  17 -> 25 [size =\"26059776\"]\n  18 [size=\"27275264\", alpha=\"0.07\", expect_size=\"13637632\"] \n  18 -> 25 [size =\"13637632\"]\n  19 [size=\"79507456\", alpha=\"0.02\", expect_size=\"39753728\"] \n  19 -> 25 [size =\"39753728\"]\n  20 [size=\"46694400\", alpha=\"0.03\", expect_size=\"23347200\"] \n  21 [size=\"55963648\", alpha=\"0.12\", expect_size=\"27981824\"] \n  21 -> 25 [size =\"27981824\"]\n  22 [size=\"88014848\", alpha=\"0.02\", expect_size=\"44007424\"] \n  22 -> 25 [size =\"44007424\"]\n  23 [size=\"103692288\", alpha=\"0.03\", expect_size=\"51846144\"] \n  24 [size=\"17797120\", alpha=\"0.05\", expect_size=\"8898560\"] \n  24 -> 25 [size =\"8898560\"]\n  25 [size=\"69679104\", alpha=\"0.00\", expect_size=\"34839552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73986048\", alpha=\"0.07\", expect_size=\"36993024\"] \n  1 -> 2 [size =\"36993024\"]\n  2 [size=\"66791424\", alpha=\"0.02\", expect_size=\"33395712\"] \n  2 -> 3 [size =\"33395712\"]\n  3 [size=\"31924224\", alpha=\"0.05\", expect_size=\"15962112\"] \n  3 -> 4 [size =\"15962112\"]\n  4 [size=\"68722688\", alpha=\"0.18\", expect_size=\"34361344\"] \n  4 -> 5 [size =\"34361344\"]\n  5 [size=\"61423616\", alpha=\"0.19\", expect_size=\"30711808\"] \n  5 -> 6 [size =\"30711808\"]\n  6 [size=\"56223744\", alpha=\"0.10\", expect_size=\"28111872\"] \n  6 -> 7 [size =\"28111872\"]\n  7 [size=\"73814016\", alpha=\"0.19\", expect_size=\"36907008\"] \n  7 -> 8 [size =\"36907008\"]\n  8 [size=\"72546304\", alpha=\"0.07\", expect_size=\"36273152\"] \n  8 -> 9 [size =\"36273152\"]\n  9 [size=\"67549184\", alpha=\"0.15\", expect_size=\"33774592\"] \n  9 -> 10 [size =\"33774592\"]\n  10 [size=\"32165888\", alpha=\"0.06\", expect_size=\"16082944\"] \n  10 -> 11 [size =\"16082944\"]\n  11 [size=\"93833216\", alpha=\"0.08\", expect_size=\"46916608\"] \n  11 -> 12 [size =\"46916608\"]\n  12 [size=\"30978048\", alpha=\"0.19\", expect_size=\"15489024\"] \n  12 -> 13 [size =\"15489024\"]\n  13 [size=\"41836544\", alpha=\"0.08\", expect_size=\"20918272\"] \n  13 -> 14 [size =\"20918272\"]\n  14 [size=\"67493888\", alpha=\"0.20\", expect_size=\"33746944\"] \n  14 -> 15 [size =\"33746944\"]\n  15 [size=\"57776128\", alpha=\"0.07\", expect_size=\"28888064\"] \n  15 -> 16 [size =\"28888064\"]\n  16 [size=\"52703232\", alpha=\"0.05\", expect_size=\"26351616\"] \n  16 -> 17 [size =\"26351616\"]\n  17 [size=\"101648384\", alpha=\"0.09\", expect_size=\"50824192\"] \n  17 -> 18 [size =\"50824192\"]\n  18 [size=\"96600064\", alpha=\"0.00\", expect_size=\"48300032\"] \n  18 -> 19 [size =\"48300032\"]\n  19 [size=\"36091904\", alpha=\"0.18\", expect_size=\"18045952\"] \n  19 -> 20 [size =\"18045952\"]\n  20 [size=\"14319616\", alpha=\"0.17\", expect_size=\"7159808\"] \n  20 -> 21 [size =\"7159808\"]\n  21 [size=\"44750848\", alpha=\"0.10\", expect_size=\"22375424\"] \n  21 -> 22 [size =\"22375424\"]\n  22 [size=\"84533248\", alpha=\"0.15\", expect_size=\"42266624\"] \n  22 -> 23 [size =\"42266624\"]\n  23 [size=\"77633536\", alpha=\"0.04\", expect_size=\"38816768\"] \n  23 -> 24 [size =\"38816768\"]\n  24 [size=\"18989056\", alpha=\"0.06\", expect_size=\"9494528\"] \n  24 -> 25 [size =\"9494528\"]\n  25 [size=\"16992256\", alpha=\"0.19\", expect_size=\"8496128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25440256\", alpha=\"0.04\", expect_size=\"12720128\"] \n  1 -> 7 [size =\"12720128\"]\n  2 [size=\"18753536\", alpha=\"0.18\", expect_size=\"9376768\"] \n  2 -> 5 [size =\"9376768\"]\n  3 [size=\"48136192\", alpha=\"0.17\", expect_size=\"24068096\"] \n  3 -> 5 [size =\"24068096\"]\n  3 -> 6 [size =\"24068096\"]\n  4 [size=\"54122496\", alpha=\"0.01\", expect_size=\"27061248\"] \n  4 -> 7 [size =\"27061248\"]\n  5 [size=\"39100416\", alpha=\"0.11\", expect_size=\"19550208\"] \n  5 -> 8 [size =\"19550208\"]\n  6 [size=\"77469696\", alpha=\"0.07\", expect_size=\"38734848\"] \n  6 -> 9 [size =\"38734848\"]\n  6 -> 10 [size =\"38734848\"]\n  7 [size=\"69404672\", alpha=\"0.09\", expect_size=\"34702336\"] \n  7 -> 10 [size =\"34702336\"]\n  8 [size=\"47372288\", alpha=\"0.20\", expect_size=\"23686144\"] \n  8 -> 11 [size =\"23686144\"]\n  8 -> 13 [size =\"23686144\"]\n  9 [size=\"19945472\", alpha=\"0.01\", expect_size=\"9972736\"] \n  9 -> 13 [size =\"9972736\"]\n  9 -> 14 [size =\"9972736\"]\n  10 [size=\"100608000\", alpha=\"0.17\", expect_size=\"50304000\"] \n  10 -> 11 [size =\"50304000\"]\n  10 -> 12 [size =\"50304000\"]\n  10 -> 14 [size =\"50304000\"]\n  11 [size=\"101656576\", alpha=\"0.16\", expect_size=\"50828288\"] \n  11 -> 15 [size =\"50828288\"]\n  11 -> 17 [size =\"50828288\"]\n  12 [size=\"26669056\", alpha=\"0.18\", expect_size=\"13334528\"] \n  12 -> 15 [size =\"13334528\"]\n  13 [size=\"17049600\", alpha=\"0.16\", expect_size=\"8524800\"] \n  13 -> 16 [size =\"8524800\"]\n  13 -> 17 [size =\"8524800\"]\n  14 [size=\"99598336\", alpha=\"0.00\", expect_size=\"49799168\"] \n  14 -> 18 [size =\"49799168\"]\n  15 [size=\"103168000\", alpha=\"0.13\", expect_size=\"51584000\"] \n  15 -> 21 [size =\"51584000\"]\n  16 [size=\"60794880\", alpha=\"0.06\", expect_size=\"30397440\"] \n  16 -> 19 [size =\"30397440\"]\n  16 -> 21 [size =\"30397440\"]\n  17 [size=\"94574592\", alpha=\"0.01\", expect_size=\"47287296\"] \n  17 -> 20 [size =\"47287296\"]\n  18 [size=\"41625600\", alpha=\"0.00\", expect_size=\"20812800\"] \n  18 -> 19 [size =\"20812800\"]\n  18 -> 20 [size =\"20812800\"]\n  18 -> 22 [size =\"20812800\"]\n  19 [size=\"40189952\", alpha=\"0.03\", expect_size=\"20094976\"] \n  20 [size=\"45201408\", alpha=\"0.05\", expect_size=\"22600704\"] \n  20 -> 23 [size =\"22600704\"]\n  20 -> 25 [size =\"22600704\"]\n  21 [size=\"30560256\", alpha=\"0.11\", expect_size=\"15280128\"] \n  21 -> 24 [size =\"15280128\"]\n  21 -> 25 [size =\"15280128\"]\n  22 [size=\"13127680\", alpha=\"0.17\", expect_size=\"6563840\"] \n  23 [size=\"96069632\", alpha=\"0.12\", expect_size=\"48034816\"] \n  24 [size=\"76056576\", alpha=\"0.17\", expect_size=\"38028288\"] \n  25 [size=\"76099584\", alpha=\"0.07\", expect_size=\"38049792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18829312\", alpha=\"0.08\", expect_size=\"9414656\"] \n  1 -> 7 [size =\"9414656\"]\n  1 -> 8 [size =\"9414656\"]\n  2 [size=\"53176320\", alpha=\"0.11\", expect_size=\"26588160\"] \n  2 -> 6 [size =\"26588160\"]\n  2 -> 8 [size =\"26588160\"]\n  3 [size=\"19302400\", alpha=\"0.17\", expect_size=\"9651200\"] \n  3 -> 6 [size =\"9651200\"]\n  3 -> 7 [size =\"9651200\"]\n  3 -> 8 [size =\"9651200\"]\n  4 [size=\"33437696\", alpha=\"0.20\", expect_size=\"16718848\"] \n  4 -> 7 [size =\"16718848\"]\n  5 [size=\"67575808\", alpha=\"0.17\", expect_size=\"33787904\"] \n  5 -> 6 [size =\"33787904\"]\n  5 -> 8 [size =\"33787904\"]\n  6 [size=\"52826112\", alpha=\"0.05\", expect_size=\"26413056\"] \n  6 -> 9 [size =\"26413056\"]\n  6 -> 13 [size =\"26413056\"]\n  7 [size=\"13185024\", alpha=\"0.07\", expect_size=\"6592512\"] \n  7 -> 10 [size =\"6592512\"]\n  7 -> 11 [size =\"6592512\"]\n  7 -> 12 [size =\"6592512\"]\n  8 [size=\"58015744\", alpha=\"0.08\", expect_size=\"29007872\"] \n  8 -> 9 [size =\"29007872\"]\n  8 -> 10 [size =\"29007872\"]\n  8 -> 11 [size =\"29007872\"]\n  8 -> 12 [size =\"29007872\"]\n  9 [size=\"39426048\", alpha=\"0.16\", expect_size=\"19713024\"] \n  9 -> 15 [size =\"19713024\"]\n  9 -> 16 [size =\"19713024\"]\n  9 -> 18 [size =\"19713024\"]\n  10 [size=\"36683776\", alpha=\"0.11\", expect_size=\"18341888\"] \n  10 -> 17 [size =\"18341888\"]\n  10 -> 18 [size =\"18341888\"]\n  11 [size=\"31774720\", alpha=\"0.12\", expect_size=\"15887360\"] \n  11 -> 14 [size =\"15887360\"]\n  11 -> 17 [size =\"15887360\"]\n  12 [size=\"67596288\", alpha=\"0.04\", expect_size=\"33798144\"] \n  12 -> 14 [size =\"33798144\"]\n  13 [size=\"24254464\", alpha=\"0.05\", expect_size=\"12127232\"] \n  13 -> 14 [size =\"12127232\"]\n  13 -> 18 [size =\"12127232\"]\n  14 [size=\"12351488\", alpha=\"0.05\", expect_size=\"6175744\"] \n  14 -> 21 [size =\"6175744\"]\n  14 -> 23 [size =\"6175744\"]\n  15 [size=\"11751424\", alpha=\"0.01\", expect_size=\"5875712\"] \n  15 -> 20 [size =\"5875712\"]\n  15 -> 23 [size =\"5875712\"]\n  16 [size=\"90990592\", alpha=\"0.07\", expect_size=\"45495296\"] \n  16 -> 19 [size =\"45495296\"]\n  16 -> 20 [size =\"45495296\"]\n  17 [size=\"22482944\", alpha=\"0.18\", expect_size=\"11241472\"] \n  17 -> 19 [size =\"11241472\"]\n  17 -> 20 [size =\"11241472\"]\n  17 -> 22 [size =\"11241472\"]\n  17 -> 23 [size =\"11241472\"]\n  18 [size=\"55601152\", alpha=\"0.01\", expect_size=\"27800576\"] \n  19 [size=\"91521024\", alpha=\"0.19\", expect_size=\"45760512\"] \n  20 [size=\"73052160\", alpha=\"0.14\", expect_size=\"36526080\"] \n  20 -> 25 [size =\"36526080\"]\n  21 [size=\"31135744\", alpha=\"0.11\", expect_size=\"15567872\"] \n  21 -> 24 [size =\"15567872\"]\n  22 [size=\"87226368\", alpha=\"0.16\", expect_size=\"43613184\"] \n  23 [size=\"12148736\", alpha=\"0.04\", expect_size=\"6074368\"] \n  23 -> 25 [size =\"6074368\"]\n  24 [size=\"35899392\", alpha=\"0.16\", expect_size=\"17949696\"] \n  25 [size=\"59539456\", alpha=\"0.01\", expect_size=\"29769728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27509760\", alpha=\"0.06\", expect_size=\"11003904\"] \n  1 -> 18 [size =\"11003904\"]\n  2 [size=\"87595520\", alpha=\"0.13\", expect_size=\"35038208\"] \n  2 -> 17 [size =\"35038208\"]\n  2 -> 18 [size =\"35038208\"]\n  3 [size=\"28718080\", alpha=\"0.18\", expect_size=\"11487232\"] \n  3 -> 14 [size =\"11487232\"]\n  3 -> 15 [size =\"11487232\"]\n  3 -> 19 [size =\"11487232\"]\n  4 [size=\"31354880\", alpha=\"0.03\", expect_size=\"12541952\"] \n  4 -> 14 [size =\"12541952\"]\n  4 -> 15 [size =\"12541952\"]\n  4 -> 16 [size =\"12541952\"]\n  4 -> 17 [size =\"12541952\"]\n  5 [size=\"115340800\", alpha=\"0.10\", expect_size=\"46136320\"] \n  5 -> 14 [size =\"46136320\"]\n  5 -> 15 [size =\"46136320\"]\n  5 -> 16 [size =\"46136320\"]\n  5 -> 18 [size =\"46136320\"]\n  6 [size=\"25832960\", alpha=\"0.11\", expect_size=\"10333184\"] \n  6 -> 14 [size =\"10333184\"]\n  6 -> 15 [size =\"10333184\"]\n  6 -> 16 [size =\"10333184\"]\n  6 -> 18 [size =\"10333184\"]\n  7 [size=\"97856000\", alpha=\"0.10\", expect_size=\"39142400\"] \n  7 -> 15 [size =\"39142400\"]\n  7 -> 15 [size =\"39142400\"]\n  7 -> 16 [size =\"39142400\"]\n  7 -> 18 [size =\"39142400\"]\n  8 [size=\"73776640\", alpha=\"0.18\", expect_size=\"29510656\"] \n  8 -> 15 [size =\"29510656\"]\n  8 -> 18 [size =\"29510656\"]\n  9 [size=\"112855040\", alpha=\"0.11\", expect_size=\"45142016\"] \n  9 -> 17 [size =\"45142016\"]\n  9 -> 18 [size =\"45142016\"]\n  9 -> 19 [size =\"45142016\"]\n  10 [size=\"112788480\", alpha=\"0.13\", expect_size=\"45115392\"] \n  11 [size=\"107256320\", alpha=\"0.11\", expect_size=\"42902528\"] \n  11 -> 16 [size =\"42902528\"]\n  11 -> 18 [size =\"42902528\"]\n  11 -> 19 [size =\"42902528\"]\n  12 [size=\"26286080\", alpha=\"0.11\", expect_size=\"10514432\"] \n  12 -> 14 [size =\"10514432\"]\n  12 -> 16 [size =\"10514432\"]\n  12 -> 18 [size =\"10514432\"]\n  12 -> 19 [size =\"10514432\"]\n  13 [size=\"100088320\", alpha=\"0.18\", expect_size=\"40035328\"] \n  13 -> 14 [size =\"40035328\"]\n  13 -> 17 [size =\"40035328\"]\n  14 [size=\"88404480\", alpha=\"0.15\", expect_size=\"35361792\"] \n  14 -> 23 [size =\"35361792\"]\n  15 [size=\"108290560\", alpha=\"0.16\", expect_size=\"43316224\"] \n  15 -> 20 [size =\"43316224\"]\n  15 -> 21 [size =\"43316224\"]\n  15 -> 22 [size =\"43316224\"]\n  15 -> 23 [size =\"43316224\"]\n  15 -> 24 [size =\"43316224\"]\n  16 [size=\"49195520\", alpha=\"0.06\", expect_size=\"19678208\"] \n  16 -> 22 [size =\"19678208\"]\n  16 -> 23 [size =\"19678208\"]\n  16 -> 24 [size =\"19678208\"]\n  17 [size=\"116032000\", alpha=\"0.06\", expect_size=\"46412800\"] \n  17 -> 20 [size =\"46412800\"]\n  17 -> 22 [size =\"46412800\"]\n  18 [size=\"56983040\", alpha=\"0.12\", expect_size=\"22793216\"] \n  18 -> 20 [size =\"22793216\"]\n  18 -> 24 [size =\"22793216\"]\n  19 [size=\"46236160\", alpha=\"0.12\", expect_size=\"18494464\"] \n  19 -> 20 [size =\"18494464\"]\n  19 -> 22 [size =\"18494464\"]\n  19 -> 24 [size =\"18494464\"]\n  20 [size=\"111828480\", alpha=\"0.18\", expect_size=\"44731392\"] \n  21 [size=\"68871680\", alpha=\"0.06\", expect_size=\"27548672\"] \n  21 -> 25 [size =\"27548672\"]\n  22 [size=\"13391360\", alpha=\"0.06\", expect_size=\"5356544\"] \n  23 [size=\"75358720\", alpha=\"0.10\", expect_size=\"30143488\"] \n  24 [size=\"63050240\", alpha=\"0.16\", expect_size=\"25220096\"] \n  24 -> 25 [size =\"25220096\"]\n  25 [size=\"34695680\", alpha=\"0.19\", expect_size=\"13878272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46407680\", alpha=\"0.10\", expect_size=\"13922304\"] \n  1 -> 21 [size =\"13922304\"]\n  1 -> 22 [size =\"13922304\"]\n  1 -> 23 [size =\"13922304\"]\n  1 -> 23 [size =\"13922304\"]\n  1 -> 24 [size =\"13922304\"]\n  2 [size=\"70024533\", alpha=\"0.04\", expect_size=\"21007360\"] \n  2 -> 21 [size =\"21007360\"]\n  2 -> 22 [size =\"21007360\"]\n  2 -> 23 [size =\"21007360\"]\n  2 -> 24 [size =\"21007360\"]\n  2 -> 24 [size =\"21007360\"]\n  3 [size=\"33976320\", alpha=\"0.13\", expect_size=\"10192896\"] \n  3 -> 21 [size =\"10192896\"]\n  3 -> 22 [size =\"10192896\"]\n  3 -> 23 [size =\"10192896\"]\n  3 -> 24 [size =\"10192896\"]\n  4 [size=\"126354773\", alpha=\"0.05\", expect_size=\"37906432\"] \n  4 -> 22 [size =\"37906432\"]\n  4 -> 22 [size =\"37906432\"]\n  4 -> 23 [size =\"37906432\"]\n  4 -> 24 [size =\"37906432\"]\n  5 [size=\"71724373\", alpha=\"0.15\", expect_size=\"21517312\"] \n  5 -> 22 [size =\"21517312\"]\n  5 -> 23 [size =\"21517312\"]\n  5 -> 24 [size =\"21517312\"]\n  5 -> 25 [size =\"21517312\"]\n  6 [size=\"104939520\", alpha=\"0.19\", expect_size=\"31481856\"] \n  6 -> 24 [size =\"31481856\"]\n  6 -> 25 [size =\"31481856\"]\n  7 [size=\"117401600\", alpha=\"0.02\", expect_size=\"35220480\"] \n  7 -> 19 [size =\"35220480\"]\n  7 -> 20 [size =\"35220480\"]\n  7 -> 22 [size =\"35220480\"]\n  7 -> 23 [size =\"35220480\"]\n  8 [size=\"59269120\", alpha=\"0.09\", expect_size=\"17780736\"] \n  8 -> 19 [size =\"17780736\"]\n  8 -> 20 [size =\"17780736\"]\n  8 -> 24 [size =\"17780736\"]\n  9 [size=\"127303680\", alpha=\"0.01\", expect_size=\"38191104\"] \n  9 -> 23 [size =\"38191104\"]\n  10 [size=\"118995627\", alpha=\"0.15\", expect_size=\"35698688\"] \n  10 -> 21 [size =\"35698688\"]\n  10 -> 23 [size =\"35698688\"]\n  10 -> 24 [size =\"35698688\"]\n  11 [size=\"52524373\", alpha=\"0.17\", expect_size=\"15757312\"] \n  11 -> 22 [size =\"15757312\"]\n  11 -> 23 [size =\"15757312\"]\n  12 [size=\"129477973\", alpha=\"0.07\", expect_size=\"38843392\"] \n  12 -> 20 [size =\"38843392\"]\n  12 -> 24 [size =\"38843392\"]\n  12 -> 25 [size =\"38843392\"]\n  13 [size=\"164150613\", alpha=\"0.13\", expect_size=\"49245184\"] \n  13 -> 21 [size =\"49245184\"]\n  13 -> 23 [size =\"49245184\"]\n  13 -> 24 [size =\"49245184\"]\n  14 [size=\"109114027\", alpha=\"0.07\", expect_size=\"32734208\"] \n  14 -> 22 [size =\"32734208\"]\n  14 -> 23 [size =\"32734208\"]\n  14 -> 24 [size =\"32734208\"]\n  15 [size=\"149514240\", alpha=\"0.19\", expect_size=\"44854272\"] \n  15 -> 21 [size =\"44854272\"]\n  15 -> 22 [size =\"44854272\"]\n  15 -> 23 [size =\"44854272\"]\n  15 -> 24 [size =\"44854272\"]\n  16 [size=\"106779307\", alpha=\"0.07\", expect_size=\"32033792\"] \n  16 -> 21 [size =\"32033792\"]\n  16 -> 23 [size =\"32033792\"]\n  16 -> 23 [size =\"32033792\"]\n  16 -> 24 [size =\"32033792\"]\n  16 -> 25 [size =\"32033792\"]\n  17 [size=\"95730347\", alpha=\"0.00\", expect_size=\"28719104\"] \n  17 -> 20 [size =\"28719104\"]\n  17 -> 21 [size =\"28719104\"]\n  17 -> 22 [size =\"28719104\"]\n  17 -> 23 [size =\"28719104\"]\n  17 -> 24 [size =\"28719104\"]\n  18 [size=\"114909867\", alpha=\"0.19\", expect_size=\"34472960\"] \n  18 -> 21 [size =\"34472960\"]\n  18 -> 21 [size =\"34472960\"]\n  18 -> 22 [size =\"34472960\"]\n  18 -> 23 [size =\"34472960\"]\n  18 -> 24 [size =\"34472960\"]\n  18 -> 25 [size =\"34472960\"]\n  19 [size=\"31617707\", alpha=\"0.15\", expect_size=\"9485312\"] \n  20 [size=\"35973120\", alpha=\"0.11\", expect_size=\"10791936\"] \n  21 [size=\"152876373\", alpha=\"0.10\", expect_size=\"45862912\"] \n  22 [size=\"127040853\", alpha=\"0.16\", expect_size=\"38112256\"] \n  23 [size=\"28009813\", alpha=\"0.04\", expect_size=\"8402944\"] \n  24 [size=\"132471467\", alpha=\"0.06\", expect_size=\"39741440\"] \n  25 [size=\"32781653\", alpha=\"0.15\", expect_size=\"9834496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160040960\", alpha=\"0.10\", expect_size=\"48012288\"] \n  1 -> 19 [size =\"48012288\"]\n  1 -> 20 [size =\"48012288\"]\n  2 [size=\"41690453\", alpha=\"0.06\", expect_size=\"12507136\"] \n  2 -> 19 [size =\"12507136\"]\n  2 -> 20 [size =\"12507136\"]\n  2 -> 21 [size =\"12507136\"]\n  3 [size=\"59422720\", alpha=\"0.13\", expect_size=\"17826816\"] \n  3 -> 19 [size =\"17826816\"]\n  3 -> 20 [size =\"17826816\"]\n  3 -> 21 [size =\"17826816\"]\n  3 -> 24 [size =\"17826816\"]\n  4 [size=\"169362773\", alpha=\"0.19\", expect_size=\"50808832\"] \n  4 -> 19 [size =\"50808832\"]\n  4 -> 20 [size =\"50808832\"]\n  5 [size=\"60480853\", alpha=\"0.08\", expect_size=\"18144256\"] \n  5 -> 19 [size =\"18144256\"]\n  5 -> 20 [size =\"18144256\"]\n  6 [size=\"163420160\", alpha=\"0.05\", expect_size=\"49026048\"] \n  6 -> 19 [size =\"49026048\"]\n  6 -> 23 [size =\"49026048\"]\n  6 -> 25 [size =\"49026048\"]\n  7 [size=\"89852587\", alpha=\"0.10\", expect_size=\"26955776\"] \n  7 -> 19 [size =\"26955776\"]\n  7 -> 20 [size =\"26955776\"]\n  8 [size=\"150521173\", alpha=\"0.16\", expect_size=\"45156352\"] \n  8 -> 19 [size =\"45156352\"]\n  8 -> 20 [size =\"45156352\"]\n  8 -> 22 [size =\"45156352\"]\n  8 -> 25 [size =\"45156352\"]\n  9 [size=\"127047680\", alpha=\"0.20\", expect_size=\"38114304\"] \n  9 -> 19 [size =\"38114304\"]\n  9 -> 20 [size =\"38114304\"]\n  10 [size=\"147933867\", alpha=\"0.10\", expect_size=\"44380160\"] \n  10 -> 19 [size =\"44380160\"]\n  11 [size=\"138506240\", alpha=\"0.19\", expect_size=\"41551872\"] \n  11 -> 19 [size =\"41551872\"]\n  11 -> 20 [size =\"41551872\"]\n  11 -> 25 [size =\"41551872\"]\n  12 [size=\"58726400\", alpha=\"0.10\", expect_size=\"17617920\"] \n  12 -> 19 [size =\"17617920\"]\n  12 -> 20 [size =\"17617920\"]\n  13 [size=\"106557440\", alpha=\"0.13\", expect_size=\"31967232\"] \n  13 -> 20 [size =\"31967232\"]\n  14 [size=\"51193173\", alpha=\"0.09\", expect_size=\"15357952\"] \n  14 -> 19 [size =\"15357952\"]\n  14 -> 25 [size =\"15357952\"]\n  15 [size=\"44677120\", alpha=\"0.00\", expect_size=\"13403136\"] \n  15 -> 19 [size =\"13403136\"]\n  15 -> 20 [size =\"13403136\"]\n  15 -> 21 [size =\"13403136\"]\n  16 [size=\"107093333\", alpha=\"0.09\", expect_size=\"32128000\"] \n  16 -> 19 [size =\"32128000\"]\n  16 -> 20 [size =\"32128000\"]\n  16 -> 22 [size =\"32128000\"]\n  17 [size=\"143800320\", alpha=\"0.09\", expect_size=\"43140096\"] \n  17 -> 19 [size =\"43140096\"]\n  18 [size=\"64904533\", alpha=\"0.19\", expect_size=\"19471360\"] \n  18 -> 19 [size =\"19471360\"]\n  18 -> 20 [size =\"19471360\"]\n  18 -> 21 [size =\"19471360\"]\n  19 [size=\"34054827\", alpha=\"0.18\", expect_size=\"10216448\"] \n  20 [size=\"30904320\", alpha=\"0.20\", expect_size=\"9271296\"] \n  21 [size=\"109472427\", alpha=\"0.00\", expect_size=\"32841728\"] \n  22 [size=\"98795520\", alpha=\"0.04\", expect_size=\"29638656\"] \n  23 [size=\"20957867\", alpha=\"0.13\", expect_size=\"6287360\"] \n  24 [size=\"120016213\", alpha=\"0.01\", expect_size=\"36004864\"] \n  25 [size=\"32815787\", alpha=\"0.14\", expect_size=\"9844736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93890560\", alpha=\"0.01\", expect_size=\"37556224\"] \n  1 -> 8 [size =\"37556224\"]\n  1 -> 11 [size =\"37556224\"]\n  1 -> 12 [size =\"37556224\"]\n  1 -> 12 [size =\"37556224\"]\n  1 -> 13 [size =\"37556224\"]\n  1 -> 14 [size =\"37556224\"]\n  2 [size=\"70033920\", alpha=\"0.06\", expect_size=\"28013568\"] \n  2 -> 9 [size =\"28013568\"]\n  2 -> 11 [size =\"28013568\"]\n  2 -> 13 [size =\"28013568\"]\n  2 -> 14 [size =\"28013568\"]\n  3 [size=\"54128640\", alpha=\"0.08\", expect_size=\"21651456\"] \n  3 -> 8 [size =\"21651456\"]\n  3 -> 10 [size =\"21651456\"]\n  3 -> 12 [size =\"21651456\"]\n  3 -> 13 [size =\"21651456\"]\n  3 -> 14 [size =\"21651456\"]\n  3 -> 15 [size =\"21651456\"]\n  4 [size=\"71040000\", alpha=\"0.10\", expect_size=\"28416000\"] \n  4 -> 8 [size =\"28416000\"]\n  4 -> 10 [size =\"28416000\"]\n  4 -> 12 [size =\"28416000\"]\n  4 -> 14 [size =\"28416000\"]\n  4 -> 15 [size =\"28416000\"]\n  5 [size=\"47526400\", alpha=\"0.06\", expect_size=\"19010560\"] \n  5 -> 9 [size =\"19010560\"]\n  5 -> 10 [size =\"19010560\"]\n  6 [size=\"29913600\", alpha=\"0.17\", expect_size=\"11965440\"] \n  6 -> 8 [size =\"11965440\"]\n  6 -> 9 [size =\"11965440\"]\n  6 -> 10 [size =\"11965440\"]\n  6 -> 11 [size =\"11965440\"]\n  6 -> 13 [size =\"11965440\"]\n  7 [size=\"81049600\", alpha=\"0.00\", expect_size=\"32419840\"] \n  7 -> 8 [size =\"32419840\"]\n  7 -> 10 [size =\"32419840\"]\n  7 -> 11 [size =\"32419840\"]\n  7 -> 12 [size =\"32419840\"]\n  7 -> 13 [size =\"32419840\"]\n  7 -> 14 [size =\"32419840\"]\n  7 -> 15 [size =\"32419840\"]\n  8 [size=\"39746560\", alpha=\"0.12\", expect_size=\"15898624\"] \n  8 -> 19 [size =\"15898624\"]\n  8 -> 21 [size =\"15898624\"]\n  9 [size=\"33710080\", alpha=\"0.06\", expect_size=\"13484032\"] \n  9 -> 18 [size =\"13484032\"]\n  9 -> 21 [size =\"13484032\"]\n  10 [size=\"54904320\", alpha=\"0.16\", expect_size=\"21961728\"] \n  10 -> 21 [size =\"21961728\"]\n  10 -> 23 [size =\"21961728\"]\n  10 -> 24 [size =\"21961728\"]\n  11 [size=\"86901760\", alpha=\"0.16\", expect_size=\"34760704\"] \n  11 -> 19 [size =\"34760704\"]\n  11 -> 23 [size =\"34760704\"]\n  12 [size=\"94873600\", alpha=\"0.01\", expect_size=\"37949440\"] \n  12 -> 16 [size =\"37949440\"]\n  12 -> 17 [size =\"37949440\"]\n  12 -> 21 [size =\"37949440\"]\n  12 -> 23 [size =\"37949440\"]\n  13 [size=\"130334720\", alpha=\"0.09\", expect_size=\"52133888\"] \n  13 -> 16 [size =\"52133888\"]\n  13 -> 17 [size =\"52133888\"]\n  13 -> 21 [size =\"52133888\"]\n  13 -> 22 [size =\"52133888\"]\n  14 [size=\"58365440\", alpha=\"0.13\", expect_size=\"23346176\"] \n  14 -> 16 [size =\"23346176\"]\n  14 -> 20 [size =\"23346176\"]\n  15 [size=\"117094400\", alpha=\"0.18\", expect_size=\"46837760\"] \n  15 -> 16 [size =\"46837760\"]\n  15 -> 23 [size =\"46837760\"]\n  15 -> 24 [size =\"46837760\"]\n  16 [size=\"35225600\", alpha=\"0.10\", expect_size=\"14090240\"] \n  16 -> 25 [size =\"14090240\"]\n  17 [size=\"15242240\", alpha=\"0.02\", expect_size=\"6096896\"] \n  17 -> 25 [size =\"6096896\"]\n  18 [size=\"16058880\", alpha=\"0.05\", expect_size=\"6423552\"] \n  18 -> 25 [size =\"6423552\"]\n  19 [size=\"85529600\", alpha=\"0.03\", expect_size=\"34211840\"] \n  20 [size=\"118425600\", alpha=\"0.11\", expect_size=\"47370240\"] \n  21 [size=\"97464320\", alpha=\"0.12\", expect_size=\"38985728\"] \n  21 -> 25 [size =\"38985728\"]\n  22 [size=\"74365440\", alpha=\"0.04\", expect_size=\"29746176\"] \n  23 [size=\"82406400\", alpha=\"0.02\", expect_size=\"32962560\"] \n  24 [size=\"16335360\", alpha=\"0.09\", expect_size=\"6534144\"] \n  25 [size=\"94725120\", alpha=\"0.03\", expect_size=\"37890048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83194880\", alpha=\"0.06\", expect_size=\"33277952\"] \n  1 -> 19 [size =\"33277952\"]\n  1 -> 24 [size =\"33277952\"]\n  2 [size=\"72012800\", alpha=\"0.12\", expect_size=\"28805120\"] \n  2 -> 16 [size =\"28805120\"]\n  2 -> 19 [size =\"28805120\"]\n  2 -> 21 [size =\"28805120\"]\n  3 [size=\"75013120\", alpha=\"0.04\", expect_size=\"30005248\"] \n  3 -> 17 [size =\"30005248\"]\n  3 -> 20 [size =\"30005248\"]\n  3 -> 23 [size =\"30005248\"]\n  4 [size=\"93570560\", alpha=\"0.08\", expect_size=\"37428224\"] \n  4 -> 20 [size =\"37428224\"]\n  4 -> 23 [size =\"37428224\"]\n  4 -> 24 [size =\"37428224\"]\n  4 -> 25 [size =\"37428224\"]\n  5 [size=\"110405120\", alpha=\"0.16\", expect_size=\"44162048\"] \n  5 -> 16 [size =\"44162048\"]\n  5 -> 24 [size =\"44162048\"]\n  6 [size=\"113981440\", alpha=\"0.08\", expect_size=\"45592576\"] \n  6 -> 16 [size =\"45592576\"]\n  6 -> 17 [size =\"45592576\"]\n  6 -> 20 [size =\"45592576\"]\n  7 [size=\"114560000\", alpha=\"0.05\", expect_size=\"45824000\"] \n  7 -> 16 [size =\"45824000\"]\n  7 -> 20 [size =\"45824000\"]\n  8 [size=\"117908480\", alpha=\"0.08\", expect_size=\"47163392\"] \n  8 -> 16 [size =\"47163392\"]\n  8 -> 20 [size =\"47163392\"]\n  9 [size=\"112069120\", alpha=\"0.06\", expect_size=\"44827648\"] \n  9 -> 19 [size =\"44827648\"]\n  10 [size=\"24990720\", alpha=\"0.12\", expect_size=\"9996288\"] \n  10 -> 17 [size =\"9996288\"]\n  10 -> 18 [size =\"9996288\"]\n  10 -> 21 [size =\"9996288\"]\n  11 [size=\"121664000\", alpha=\"0.03\", expect_size=\"48665600\"] \n  11 -> 16 [size =\"48665600\"]\n  12 [size=\"38474240\", alpha=\"0.16\", expect_size=\"15389696\"] \n  12 -> 16 [size =\"15389696\"]\n  12 -> 20 [size =\"15389696\"]\n  12 -> 23 [size =\"15389696\"]\n  12 -> 24 [size =\"15389696\"]\n  13 [size=\"110389760\", alpha=\"0.07\", expect_size=\"44155904\"] \n  13 -> 17 [size =\"44155904\"]\n  13 -> 18 [size =\"44155904\"]\n  14 [size=\"14059520\", alpha=\"0.15\", expect_size=\"5623808\"] \n  14 -> 17 [size =\"5623808\"]\n  14 -> 18 [size =\"5623808\"]\n  14 -> 19 [size =\"5623808\"]\n  14 -> 24 [size =\"5623808\"]\n  15 [size=\"63370240\", alpha=\"0.14\", expect_size=\"25348096\"] \n  15 -> 21 [size =\"25348096\"]\n  15 -> 22 [size =\"25348096\"]\n  16 [size=\"37422080\", alpha=\"0.14\", expect_size=\"14968832\"] \n  17 [size=\"87377920\", alpha=\"0.06\", expect_size=\"34951168\"] \n  18 [size=\"115704320\", alpha=\"0.09\", expect_size=\"46281728\"] \n  19 [size=\"47262720\", alpha=\"0.17\", expect_size=\"18905088\"] \n  20 [size=\"84864000\", alpha=\"0.09\", expect_size=\"33945600\"] \n  21 [size=\"39057920\", alpha=\"0.14\", expect_size=\"15623168\"] \n  22 [size=\"58775040\", alpha=\"0.09\", expect_size=\"23510016\"] \n  23 [size=\"33756160\", alpha=\"0.14\", expect_size=\"13502464\"] \n  24 [size=\"73774080\", alpha=\"0.13\", expect_size=\"29509632\"] \n  25 [size=\"44216320\", alpha=\"0.08\", expect_size=\"17686528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12138496\", alpha=\"0.13\", expect_size=\"6069248\"] \n  1 -> 13 [size =\"6069248\"]\n  2 [size=\"29927424\", alpha=\"0.19\", expect_size=\"14963712\"] \n  2 -> 15 [size =\"14963712\"]\n  3 [size=\"86745088\", alpha=\"0.13\", expect_size=\"43372544\"] \n  3 -> 13 [size =\"43372544\"]\n  4 [size=\"21573632\", alpha=\"0.16\", expect_size=\"10786816\"] \n  5 [size=\"43794432\", alpha=\"0.13\", expect_size=\"21897216\"] \n  5 -> 15 [size =\"21897216\"]\n  6 [size=\"62754816\", alpha=\"0.02\", expect_size=\"31377408\"] \n  7 [size=\"11579392\", alpha=\"0.00\", expect_size=\"5789696\"] \n  7 -> 13 [size =\"5789696\"]\n  8 [size=\"43497472\", alpha=\"0.20\", expect_size=\"21748736\"] \n  8 -> 15 [size =\"21748736\"]\n  8 -> 16 [size =\"21748736\"]\n  8 -> 17 [size =\"21748736\"]\n  9 [size=\"56662016\", alpha=\"0.11\", expect_size=\"28331008\"] \n  9 -> 13 [size =\"28331008\"]\n  9 -> 15 [size =\"28331008\"]\n  10 [size=\"58040320\", alpha=\"0.12\", expect_size=\"29020160\"] \n  10 -> 15 [size =\"29020160\"]\n  10 -> 15 [size =\"29020160\"]\n  10 -> 16 [size =\"29020160\"]\n  11 [size=\"11298816\", alpha=\"0.04\", expect_size=\"5649408\"] \n  11 -> 13 [size =\"5649408\"]\n  12 [size=\"74051584\", alpha=\"0.14\", expect_size=\"37025792\"] \n  12 -> 13 [size =\"37025792\"]\n  12 -> 14 [size =\"37025792\"]\n  12 -> 15 [size =\"37025792\"]\n  13 [size=\"68859904\", alpha=\"0.09\", expect_size=\"34429952\"] \n  13 -> 19 [size =\"34429952\"]\n  13 -> 21 [size =\"34429952\"]\n  13 -> 22 [size =\"34429952\"]\n  14 [size=\"37931008\", alpha=\"0.10\", expect_size=\"18965504\"] \n  14 -> 20 [size =\"18965504\"]\n  14 -> 23 [size =\"18965504\"]\n  14 -> 24 [size =\"18965504\"]\n  14 -> 25 [size =\"18965504\"]\n  15 [size=\"19521536\", alpha=\"0.17\", expect_size=\"9760768\"] \n  15 -> 18 [size =\"9760768\"]\n  15 -> 20 [size =\"9760768\"]\n  15 -> 22 [size =\"9760768\"]\n  15 -> 25 [size =\"9760768\"]\n  16 [size=\"81258496\", alpha=\"0.05\", expect_size=\"40629248\"] \n  16 -> 19 [size =\"40629248\"]\n  16 -> 20 [size =\"40629248\"]\n  16 -> 21 [size =\"40629248\"]\n  16 -> 23 [size =\"40629248\"]\n  16 -> 24 [size =\"40629248\"]\n  16 -> 25 [size =\"40629248\"]\n  17 [size=\"89231360\", alpha=\"0.02\", expect_size=\"44615680\"] \n  17 -> 18 [size =\"44615680\"]\n  17 -> 22 [size =\"44615680\"]\n  18 [size=\"90214400\", alpha=\"0.19\", expect_size=\"45107200\"] \n  19 [size=\"88164352\", alpha=\"0.01\", expect_size=\"44082176\"] \n  20 [size=\"46075904\", alpha=\"0.01\", expect_size=\"23037952\"] \n  21 [size=\"104077312\", alpha=\"0.01\", expect_size=\"52038656\"] \n  22 [size=\"29868032\", alpha=\"0.05\", expect_size=\"14934016\"] \n  23 [size=\"96954368\", alpha=\"0.05\", expect_size=\"48477184\"] \n  24 [size=\"42739712\", alpha=\"0.07\", expect_size=\"21369856\"] \n  25 [size=\"90132480\", alpha=\"0.17\", expect_size=\"45066240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132833280\", alpha=\"0.19\", expect_size=\"39849984\"] \n  1 -> 2 [size =\"39849984\"]\n  2 [size=\"101495467\", alpha=\"0.11\", expect_size=\"30448640\"] \n  2 -> 3 [size =\"30448640\"]\n  3 [size=\"125876907\", alpha=\"0.01\", expect_size=\"37763072\"] \n  3 -> 4 [size =\"37763072\"]\n  4 [size=\"64580267\", alpha=\"0.06\", expect_size=\"19374080\"] \n  4 -> 5 [size =\"19374080\"]\n  5 [size=\"143482880\", alpha=\"0.15\", expect_size=\"43044864\"] \n  5 -> 6 [size =\"43044864\"]\n  6 [size=\"99433813\", alpha=\"0.15\", expect_size=\"29830144\"] \n  6 -> 7 [size =\"29830144\"]\n  7 [size=\"38103040\", alpha=\"0.20\", expect_size=\"11430912\"] \n  7 -> 8 [size =\"11430912\"]\n  8 [size=\"137847467\", alpha=\"0.09\", expect_size=\"41354240\"] \n  8 -> 9 [size =\"41354240\"]\n  9 [size=\"59129173\", alpha=\"0.17\", expect_size=\"17738752\"] \n  9 -> 10 [size =\"17738752\"]\n  10 [size=\"60398933\", alpha=\"0.14\", expect_size=\"18119680\"] \n  10 -> 11 [size =\"18119680\"]\n  11 [size=\"55350613\", alpha=\"0.13\", expect_size=\"16605184\"] \n  11 -> 12 [size =\"16605184\"]\n  12 [size=\"44434773\", alpha=\"0.05\", expect_size=\"13330432\"] \n  12 -> 13 [size =\"13330432\"]\n  13 [size=\"129389227\", alpha=\"0.09\", expect_size=\"38816768\"] \n  13 -> 14 [size =\"38816768\"]\n  14 [size=\"137048747\", alpha=\"0.18\", expect_size=\"41114624\"] \n  14 -> 15 [size =\"41114624\"]\n  15 [size=\"27982507\", alpha=\"0.17\", expect_size=\"8394752\"] \n  15 -> 16 [size =\"8394752\"]\n  16 [size=\"148411733\", alpha=\"0.00\", expect_size=\"44523520\"] \n  16 -> 17 [size =\"44523520\"]\n  17 [size=\"106192213\", alpha=\"0.10\", expect_size=\"31857664\"] \n  17 -> 18 [size =\"31857664\"]\n  18 [size=\"102376107\", alpha=\"0.14\", expect_size=\"30712832\"] \n  18 -> 19 [size =\"30712832\"]\n  19 [size=\"169857707\", alpha=\"0.02\", expect_size=\"50957312\"] \n  19 -> 20 [size =\"50957312\"]\n  20 [size=\"146124800\", alpha=\"0.18\", expect_size=\"43837440\"] \n  20 -> 21 [size =\"43837440\"]\n  21 [size=\"96443733\", alpha=\"0.08\", expect_size=\"28933120\"] \n  21 -> 22 [size =\"28933120\"]\n  22 [size=\"45294933\", alpha=\"0.08\", expect_size=\"13588480\"] \n  22 -> 23 [size =\"13588480\"]\n  23 [size=\"85411840\", alpha=\"0.02\", expect_size=\"25623552\"] \n  23 -> 24 [size =\"25623552\"]\n  24 [size=\"156781227\", alpha=\"0.03\", expect_size=\"47034368\"] \n  24 -> 25 [size =\"47034368\"]\n  25 [size=\"143066453\", alpha=\"0.19\", expect_size=\"42919936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60582400\", alpha=\"0.12\", expect_size=\"24232960\"] \n  1 -> 3 [size =\"24232960\"]\n  2 [size=\"88168960\", alpha=\"0.12\", expect_size=\"35267584\"] \n  2 -> 3 [size =\"35267584\"]\n  3 [size=\"66283520\", alpha=\"0.19\", expect_size=\"26513408\"] \n  3 -> 4 [size =\"26513408\"]\n  3 -> 5 [size =\"26513408\"]\n  4 [size=\"113359360\", alpha=\"0.15\", expect_size=\"45343744\"] \n  4 -> 6 [size =\"45343744\"]\n  5 [size=\"108167680\", alpha=\"0.04\", expect_size=\"43267072\"] \n  6 [size=\"63362560\", alpha=\"0.06\", expect_size=\"25345024\"] \n  6 -> 7 [size =\"25345024\"]\n  7 [size=\"87779840\", alpha=\"0.08\", expect_size=\"35111936\"] \n  7 -> 8 [size =\"35111936\"]\n  8 [size=\"38108160\", alpha=\"0.13\", expect_size=\"15243264\"] \n  8 -> 9 [size =\"15243264\"]\n  9 [size=\"73518080\", alpha=\"0.02\", expect_size=\"29407232\"] \n  9 -> 10 [size =\"29407232\"]\n  10 [size=\"42816000\", alpha=\"0.14\", expect_size=\"17126400\"] \n  10 -> 11 [size =\"17126400\"]\n  10 -> 12 [size =\"17126400\"]\n  11 [size=\"101383680\", alpha=\"0.15\", expect_size=\"40553472\"] \n  11 -> 13 [size =\"40553472\"]\n  12 [size=\"52083200\", alpha=\"0.10\", expect_size=\"20833280\"] \n  12 -> 14 [size =\"20833280\"]\n  13 [size=\"122593280\", alpha=\"0.04\", expect_size=\"49037312\"] \n  14 [size=\"114854400\", alpha=\"0.19\", expect_size=\"45941760\"] \n  14 -> 15 [size =\"45941760\"]\n  15 [size=\"83778560\", alpha=\"0.12\", expect_size=\"33511424\"] \n  15 -> 16 [size =\"33511424\"]\n  16 [size=\"105771520\", alpha=\"0.09\", expect_size=\"42308608\"] \n  16 -> 17 [size =\"42308608\"]\n  16 -> 18 [size =\"42308608\"]\n  17 [size=\"25684480\", alpha=\"0.12\", expect_size=\"10273792\"] \n  17 -> 19 [size =\"10273792\"]\n  18 [size=\"70586880\", alpha=\"0.12\", expect_size=\"28234752\"] \n  18 -> 19 [size =\"28234752\"]\n  19 [size=\"30292480\", alpha=\"0.10\", expect_size=\"12116992\"] \n  19 -> 20 [size =\"12116992\"]\n  19 -> 21 [size =\"12116992\"]\n  20 [size=\"41384960\", alpha=\"0.11\", expect_size=\"16553984\"] \n  20 -> 22 [size =\"16553984\"]\n  21 [size=\"122813440\", alpha=\"0.19\", expect_size=\"49125376\"] \n  21 -> 22 [size =\"49125376\"]\n  22 [size=\"91281920\", alpha=\"0.19\", expect_size=\"36512768\"] \n  22 -> 23 [size =\"36512768\"]\n  22 -> 24 [size =\"36512768\"]\n  23 [size=\"32537600\", alpha=\"0.09\", expect_size=\"13015040\"] \n  24 [size=\"58078720\", alpha=\"0.16\", expect_size=\"23231488\"] \n  24 -> 25 [size =\"23231488\"]\n  25 [size=\"53690880\", alpha=\"0.19\", expect_size=\"21476352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69050880\", alpha=\"0.10\", expect_size=\"27620352\"] \n  1 -> 4 [size =\"27620352\"]\n  2 [size=\"104483840\", alpha=\"0.04\", expect_size=\"41793536\"] \n  2 -> 3 [size =\"41793536\"]\n  2 -> 4 [size =\"41793536\"]\n  3 [size=\"40000000\", alpha=\"0.17\", expect_size=\"16000000\"] \n  3 -> 5 [size =\"16000000\"]\n  4 [size=\"59143680\", alpha=\"0.07\", expect_size=\"23657472\"] \n  4 -> 5 [size =\"23657472\"]\n  5 [size=\"97774080\", alpha=\"0.17\", expect_size=\"39109632\"] \n  5 -> 6 [size =\"39109632\"]\n  5 -> 7 [size =\"39109632\"]\n  6 [size=\"14382080\", alpha=\"0.12\", expect_size=\"5752832\"] \n  6 -> 8 [size =\"5752832\"]\n  6 -> 9 [size =\"5752832\"]\n  7 [size=\"40435200\", alpha=\"0.12\", expect_size=\"16174080\"] \n  7 -> 8 [size =\"16174080\"]\n  7 -> 9 [size =\"16174080\"]\n  8 [size=\"116318720\", alpha=\"0.05\", expect_size=\"46527488\"] \n  8 -> 10 [size =\"46527488\"]\n  8 -> 11 [size =\"46527488\"]\n  9 [size=\"20032000\", alpha=\"0.11\", expect_size=\"8012800\"] \n  9 -> 10 [size =\"8012800\"]\n  9 -> 11 [size =\"8012800\"]\n  10 [size=\"92797440\", alpha=\"0.02\", expect_size=\"37118976\"] \n  10 -> 13 [size =\"37118976\"]\n  11 [size=\"118128640\", alpha=\"0.01\", expect_size=\"47251456\"] \n  11 -> 12 [size =\"47251456\"]\n  11 -> 13 [size =\"47251456\"]\n  12 [size=\"60968960\", alpha=\"0.08\", expect_size=\"24387584\"] \n  12 -> 14 [size =\"24387584\"]\n  12 -> 15 [size =\"24387584\"]\n  13 [size=\"86407680\", alpha=\"0.01\", expect_size=\"34563072\"] \n  13 -> 14 [size =\"34563072\"]\n  13 -> 15 [size =\"34563072\"]\n  14 [size=\"65991680\", alpha=\"0.14\", expect_size=\"26396672\"] \n  14 -> 16 [size =\"26396672\"]\n  15 [size=\"105930240\", alpha=\"0.12\", expect_size=\"42372096\"] \n  15 -> 16 [size =\"42372096\"]\n  16 [size=\"87774720\", alpha=\"0.02\", expect_size=\"35109888\"] \n  16 -> 17 [size =\"35109888\"]\n  16 -> 18 [size =\"35109888\"]\n  17 [size=\"42792960\", alpha=\"0.10\", expect_size=\"17117184\"] \n  17 -> 19 [size =\"17117184\"]\n  18 [size=\"115604480\", alpha=\"0.17\", expect_size=\"46241792\"] \n  19 [size=\"28503040\", alpha=\"0.15\", expect_size=\"11401216\"] \n  19 -> 20 [size =\"11401216\"]\n  19 -> 21 [size =\"11401216\"]\n  20 [size=\"93621760\", alpha=\"0.17\", expect_size=\"37448704\"] \n  20 -> 22 [size =\"37448704\"]\n  21 [size=\"103457280\", alpha=\"0.09\", expect_size=\"41382912\"] \n  21 -> 22 [size =\"41382912\"]\n  22 [size=\"107376640\", alpha=\"0.16\", expect_size=\"42950656\"] \n  22 -> 23 [size =\"42950656\"]\n  22 -> 24 [size =\"42950656\"]\n  23 [size=\"35128320\", alpha=\"0.08\", expect_size=\"14051328\"] \n  23 -> 25 [size =\"14051328\"]\n  24 [size=\"40788480\", alpha=\"0.07\", expect_size=\"16315392\"] \n  24 -> 25 [size =\"16315392\"]\n  25 [size=\"123752960\", alpha=\"0.01\", expect_size=\"49501184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71335253\", alpha=\"0.13\", expect_size=\"21400576\"] \n  1 -> 3 [size =\"21400576\"]\n  2 [size=\"109288107\", alpha=\"0.04\", expect_size=\"32786432\"] \n  3 [size=\"47288320\", alpha=\"0.01\", expect_size=\"14186496\"] \n  3 -> 4 [size =\"14186496\"]\n  3 -> 5 [size =\"14186496\"]\n  4 [size=\"79643307\", alpha=\"0.18\", expect_size=\"23892992\"] \n  4 -> 6 [size =\"23892992\"]\n  5 [size=\"162839893\", alpha=\"0.15\", expect_size=\"48851968\"] \n  5 -> 7 [size =\"48851968\"]\n  6 [size=\"58907307\", alpha=\"0.15\", expect_size=\"17672192\"] \n  6 -> 8 [size =\"17672192\"]\n  6 -> 9 [size =\"17672192\"]\n  7 [size=\"164338347\", alpha=\"0.00\", expect_size=\"49301504\"] \n  8 [size=\"26183680\", alpha=\"0.10\", expect_size=\"7855104\"] \n  9 [size=\"79728640\", alpha=\"0.15\", expect_size=\"23918592\"] \n  9 -> 10 [size =\"23918592\"]\n  10 [size=\"47298560\", alpha=\"0.11\", expect_size=\"14189568\"] \n  10 -> 11 [size =\"14189568\"]\n  11 [size=\"104331947\", alpha=\"0.06\", expect_size=\"31299584\"] \n  11 -> 12 [size =\"31299584\"]\n  12 [size=\"52384427\", alpha=\"0.01\", expect_size=\"15715328\"] \n  12 -> 13 [size =\"15715328\"]\n  12 -> 14 [size =\"15715328\"]\n  13 [size=\"81107627\", alpha=\"0.12\", expect_size=\"24332288\"] \n  14 [size=\"90917547\", alpha=\"0.06\", expect_size=\"27275264\"] \n  14 -> 15 [size =\"27275264\"]\n  15 [size=\"72925867\", alpha=\"0.18\", expect_size=\"21877760\"] \n  15 -> 16 [size =\"21877760\"]\n  16 [size=\"36758187\", alpha=\"0.05\", expect_size=\"11027456\"] \n  16 -> 17 [size =\"11027456\"]\n  17 [size=\"157279573\", alpha=\"0.17\", expect_size=\"47183872\"] \n  17 -> 18 [size =\"47183872\"]\n  18 [size=\"160914773\", alpha=\"0.04\", expect_size=\"48274432\"] \n  18 -> 19 [size =\"48274432\"]\n  18 -> 20 [size =\"48274432\"]\n  19 [size=\"84237653\", alpha=\"0.19\", expect_size=\"25271296\"] \n  20 [size=\"43868160\", alpha=\"0.07\", expect_size=\"13160448\"] \n  20 -> 21 [size =\"13160448\"]\n  20 -> 22 [size =\"13160448\"]\n  21 [size=\"126474240\", alpha=\"0.03\", expect_size=\"37942272\"] \n  21 -> 23 [size =\"37942272\"]\n  21 -> 24 [size =\"37942272\"]\n  22 [size=\"170100053\", alpha=\"0.10\", expect_size=\"51030016\"] \n  23 [size=\"19145387\", alpha=\"0.01\", expect_size=\"5743616\"] \n  24 [size=\"112691200\", alpha=\"0.19\", expect_size=\"33807360\"] \n  24 -> 25 [size =\"33807360\"]\n  25 [size=\"161310720\", alpha=\"0.16\", expect_size=\"48393216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99361280\", alpha=\"0.13\", expect_size=\"39744512\"] \n  1 -> 2 [size =\"39744512\"]\n  1 -> 3 [size =\"39744512\"]\n  2 [size=\"101212160\", alpha=\"0.00\", expect_size=\"40484864\"] \n  2 -> 4 [size =\"40484864\"]\n  3 [size=\"18201600\", alpha=\"0.18\", expect_size=\"7280640\"] \n  4 [size=\"48325120\", alpha=\"0.05\", expect_size=\"19330048\"] \n  4 -> 5 [size =\"19330048\"]\n  5 [size=\"103480320\", alpha=\"0.07\", expect_size=\"41392128\"] \n  5 -> 6 [size =\"41392128\"]\n  5 -> 7 [size =\"41392128\"]\n  6 [size=\"51458560\", alpha=\"0.14\", expect_size=\"20583424\"] \n  6 -> 8 [size =\"20583424\"]\n  6 -> 9 [size =\"20583424\"]\n  7 [size=\"119741440\", alpha=\"0.15\", expect_size=\"47896576\"] \n  8 [size=\"93716480\", alpha=\"0.20\", expect_size=\"37486592\"] \n  8 -> 10 [size =\"37486592\"]\n  9 [size=\"85278720\", alpha=\"0.17\", expect_size=\"34111488\"] \n  10 [size=\"116303360\", alpha=\"0.15\", expect_size=\"46521344\"] \n  10 -> 11 [size =\"46521344\"]\n  10 -> 12 [size =\"46521344\"]\n  11 [size=\"116403200\", alpha=\"0.05\", expect_size=\"46561280\"] \n  12 [size=\"72857600\", alpha=\"0.15\", expect_size=\"29143040\"] \n  12 -> 13 [size =\"29143040\"]\n  13 [size=\"74452480\", alpha=\"0.08\", expect_size=\"29780992\"] \n  13 -> 14 [size =\"29780992\"]\n  14 [size=\"60646400\", alpha=\"0.18\", expect_size=\"24258560\"] \n  14 -> 15 [size =\"24258560\"]\n  14 -> 16 [size =\"24258560\"]\n  15 [size=\"87398400\", alpha=\"0.12\", expect_size=\"34959360\"] \n  15 -> 17 [size =\"34959360\"]\n  16 [size=\"127321600\", alpha=\"0.14\", expect_size=\"50928640\"] \n  17 [size=\"94049280\", alpha=\"0.12\", expect_size=\"37619712\"] \n  17 -> 18 [size =\"37619712\"]\n  17 -> 19 [size =\"37619712\"]\n  18 [size=\"61859840\", alpha=\"0.19\", expect_size=\"24743936\"] \n  18 -> 20 [size =\"24743936\"]\n  19 [size=\"59806720\", alpha=\"0.15\", expect_size=\"23922688\"] \n  20 [size=\"39813120\", alpha=\"0.02\", expect_size=\"15925248\"] \n  20 -> 21 [size =\"15925248\"]\n  20 -> 22 [size =\"15925248\"]\n  21 [size=\"128977920\", alpha=\"0.04\", expect_size=\"51591168\"] \n  21 -> 23 [size =\"51591168\"]\n  22 [size=\"41216000\", alpha=\"0.01\", expect_size=\"16486400\"] \n  22 -> 24 [size =\"16486400\"]\n  23 [size=\"13928960\", alpha=\"0.19\", expect_size=\"5571584\"] \n  24 [size=\"61626880\", alpha=\"0.02\", expect_size=\"24650752\"] \n  24 -> 25 [size =\"24650752\"]\n  25 [size=\"49428480\", alpha=\"0.01\", expect_size=\"19771392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103930880\", alpha=\"0.09\", expect_size=\"41572352\"] \n  1 -> 2 [size =\"41572352\"]\n  2 [size=\"93058560\", alpha=\"0.05\", expect_size=\"37223424\"] \n  2 -> 3 [size =\"37223424\"]\n  3 [size=\"81359360\", alpha=\"0.14\", expect_size=\"32543744\"] \n  3 -> 4 [size =\"32543744\"]\n  4 [size=\"78615040\", alpha=\"0.01\", expect_size=\"31446016\"] \n  4 -> 5 [size =\"31446016\"]\n  5 [size=\"115202560\", alpha=\"0.01\", expect_size=\"46081024\"] \n  5 -> 6 [size =\"46081024\"]\n  6 [size=\"76725760\", alpha=\"0.15\", expect_size=\"30690304\"] \n  6 -> 7 [size =\"30690304\"]\n  7 [size=\"58839040\", alpha=\"0.16\", expect_size=\"23535616\"] \n  7 -> 8 [size =\"23535616\"]\n  8 [size=\"84344320\", alpha=\"0.07\", expect_size=\"33737728\"] \n  8 -> 9 [size =\"33737728\"]\n  9 [size=\"20359680\", alpha=\"0.19\", expect_size=\"8143872\"] \n  9 -> 10 [size =\"8143872\"]\n  10 [size=\"23132160\", alpha=\"0.07\", expect_size=\"9252864\"] \n  10 -> 11 [size =\"9252864\"]\n  11 [size=\"55142400\", alpha=\"0.14\", expect_size=\"22056960\"] \n  11 -> 12 [size =\"22056960\"]\n  12 [size=\"108820480\", alpha=\"0.00\", expect_size=\"43528192\"] \n  12 -> 13 [size =\"43528192\"]\n  13 [size=\"19448320\", alpha=\"0.19\", expect_size=\"7779328\"] \n  13 -> 14 [size =\"7779328\"]\n  14 [size=\"104138240\", alpha=\"0.13\", expect_size=\"41655296\"] \n  14 -> 15 [size =\"41655296\"]\n  15 [size=\"111434240\", alpha=\"0.12\", expect_size=\"44573696\"] \n  15 -> 16 [size =\"44573696\"]\n  16 [size=\"118003200\", alpha=\"0.10\", expect_size=\"47201280\"] \n  16 -> 17 [size =\"47201280\"]\n  17 [size=\"89113600\", alpha=\"0.18\", expect_size=\"35645440\"] \n  17 -> 18 [size =\"35645440\"]\n  18 [size=\"67612160\", alpha=\"0.05\", expect_size=\"27044864\"] \n  18 -> 19 [size =\"27044864\"]\n  19 [size=\"110384640\", alpha=\"0.10\", expect_size=\"44153856\"] \n  19 -> 20 [size =\"44153856\"]\n  20 [size=\"105943040\", alpha=\"0.16\", expect_size=\"42377216\"] \n  20 -> 21 [size =\"42377216\"]\n  21 [size=\"29363200\", alpha=\"0.17\", expect_size=\"11745280\"] \n  21 -> 22 [size =\"11745280\"]\n  22 [size=\"110310400\", alpha=\"0.12\", expect_size=\"44124160\"] \n  22 -> 23 [size =\"44124160\"]\n  23 [size=\"111198720\", alpha=\"0.18\", expect_size=\"44479488\"] \n  23 -> 24 [size =\"44479488\"]\n  24 [size=\"105410560\", alpha=\"0.16\", expect_size=\"42164224\"] \n  24 -> 25 [size =\"42164224\"]\n  25 [size=\"63006720\", alpha=\"0.10\", expect_size=\"25202688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23496704\", alpha=\"0.09\", expect_size=\"11748352\"] \n  1 -> 7 [size =\"11748352\"]\n  2 [size=\"10698752\", alpha=\"0.11\", expect_size=\"5349376\"] \n  3 [size=\"26990592\", alpha=\"0.12\", expect_size=\"13495296\"] \n  3 -> 6 [size =\"13495296\"]\n  3 -> 8 [size =\"13495296\"]\n  4 [size=\"100235264\", alpha=\"0.01\", expect_size=\"50117632\"] \n  4 -> 5 [size =\"50117632\"]\n  4 -> 6 [size =\"50117632\"]\n  4 -> 8 [size =\"50117632\"]\n  5 [size=\"50341888\", alpha=\"0.19\", expect_size=\"25170944\"] \n  5 -> 10 [size =\"25170944\"]\n  5 -> 12 [size =\"25170944\"]\n  6 [size=\"70129664\", alpha=\"0.19\", expect_size=\"35064832\"] \n  6 -> 9 [size =\"35064832\"]\n  6 -> 11 [size =\"35064832\"]\n  6 -> 12 [size =\"35064832\"]\n  7 [size=\"77707264\", alpha=\"0.01\", expect_size=\"38853632\"] \n  7 -> 9 [size =\"38853632\"]\n  7 -> 11 [size =\"38853632\"]\n  7 -> 12 [size =\"38853632\"]\n  8 [size=\"53929984\", alpha=\"0.12\", expect_size=\"26964992\"] \n  8 -> 10 [size =\"26964992\"]\n  8 -> 11 [size =\"26964992\"]\n  8 -> 12 [size =\"26964992\"]\n  9 [size=\"51701760\", alpha=\"0.09\", expect_size=\"25850880\"] \n  9 -> 14 [size =\"25850880\"]\n  10 [size=\"92981248\", alpha=\"0.20\", expect_size=\"46490624\"] \n  10 -> 15 [size =\"46490624\"]\n  11 [size=\"82927616\", alpha=\"0.18\", expect_size=\"41463808\"] \n  11 -> 13 [size =\"41463808\"]\n  11 -> 15 [size =\"41463808\"]\n  12 [size=\"28938240\", alpha=\"0.11\", expect_size=\"14469120\"] \n  12 -> 13 [size =\"14469120\"]\n  12 -> 15 [size =\"14469120\"]\n  13 [size=\"81047552\", alpha=\"0.02\", expect_size=\"40523776\"] \n  13 -> 16 [size =\"40523776\"]\n  13 -> 17 [size =\"40523776\"]\n  13 -> 18 [size =\"40523776\"]\n  13 -> 19 [size =\"40523776\"]\n  14 [size=\"42799104\", alpha=\"0.19\", expect_size=\"21399552\"] \n  14 -> 16 [size =\"21399552\"]\n  14 -> 17 [size =\"21399552\"]\n  14 -> 18 [size =\"21399552\"]\n  14 -> 19 [size =\"21399552\"]\n  15 [size=\"46256128\", alpha=\"0.15\", expect_size=\"23128064\"] \n  15 -> 16 [size =\"23128064\"]\n  15 -> 17 [size =\"23128064\"]\n  15 -> 18 [size =\"23128064\"]\n  15 -> 19 [size =\"23128064\"]\n  16 [size=\"40142848\", alpha=\"0.05\", expect_size=\"20071424\"] \n  16 -> 23 [size =\"20071424\"]\n  17 [size=\"36249600\", alpha=\"0.15\", expect_size=\"18124800\"] \n  17 -> 20 [size =\"18124800\"]\n  17 -> 22 [size =\"18124800\"]\n  18 [size=\"39985152\", alpha=\"0.20\", expect_size=\"19992576\"] \n  18 -> 21 [size =\"19992576\"]\n  18 -> 22 [size =\"19992576\"]\n  18 -> 23 [size =\"19992576\"]\n  19 [size=\"95463424\", alpha=\"0.02\", expect_size=\"47731712\"] \n  19 -> 22 [size =\"47731712\"]\n  19 -> 23 [size =\"47731712\"]\n  20 [size=\"45492224\", alpha=\"0.16\", expect_size=\"22746112\"] \n  21 [size=\"43227136\", alpha=\"0.12\", expect_size=\"21613568\"] \n  21 -> 24 [size =\"21613568\"]\n  22 [size=\"32409600\", alpha=\"0.08\", expect_size=\"16204800\"] \n  22 -> 24 [size =\"16204800\"]\n  23 [size=\"86163456\", alpha=\"0.08\", expect_size=\"43081728\"] \n  23 -> 24 [size =\"43081728\"]\n  23 -> 25 [size =\"43081728\"]\n  24 [size=\"96186368\", alpha=\"0.07\", expect_size=\"48093184\"] \n  25 [size=\"90828800\", alpha=\"0.14\", expect_size=\"45414400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99440640\", alpha=\"0.06\", expect_size=\"29832192\"] \n  1 -> 10 [size =\"29832192\"]\n  1 -> 11 [size =\"29832192\"]\n  1 -> 13 [size =\"29832192\"]\n  2 [size=\"95692800\", alpha=\"0.02\", expect_size=\"28707840\"] \n  2 -> 13 [size =\"28707840\"]\n  2 -> 14 [size =\"28707840\"]\n  3 [size=\"108264107\", alpha=\"0.15\", expect_size=\"32479232\"] \n  3 -> 9 [size =\"32479232\"]\n  3 -> 10 [size =\"32479232\"]\n  3 -> 11 [size =\"32479232\"]\n  3 -> 13 [size =\"32479232\"]\n  4 [size=\"110015147\", alpha=\"0.16\", expect_size=\"33004544\"] \n  4 -> 11 [size =\"33004544\"]\n  4 -> 12 [size =\"33004544\"]\n  4 -> 13 [size =\"33004544\"]\n  4 -> 15 [size =\"33004544\"]\n  5 [size=\"80913067\", alpha=\"0.12\", expect_size=\"24273920\"] \n  5 -> 9 [size =\"24273920\"]\n  5 -> 11 [size =\"24273920\"]\n  5 -> 13 [size =\"24273920\"]\n  5 -> 14 [size =\"24273920\"]\n  5 -> 15 [size =\"24273920\"]\n  6 [size=\"51585707\", alpha=\"0.18\", expect_size=\"15475712\"] \n  6 -> 11 [size =\"15475712\"]\n  6 -> 13 [size =\"15475712\"]\n  6 -> 15 [size =\"15475712\"]\n  7 [size=\"136205653\", alpha=\"0.06\", expect_size=\"40861696\"] \n  7 -> 10 [size =\"40861696\"]\n  7 -> 11 [size =\"40861696\"]\n  7 -> 15 [size =\"40861696\"]\n  8 [size=\"24995840\", alpha=\"0.02\", expect_size=\"7498752\"] \n  8 -> 9 [size =\"7498752\"]\n  8 -> 11 [size =\"7498752\"]\n  8 -> 14 [size =\"7498752\"]\n  9 [size=\"49343147\", alpha=\"0.11\", expect_size=\"14802944\"] \n  9 -> 16 [size =\"14802944\"]\n  9 -> 17 [size =\"14802944\"]\n  9 -> 21 [size =\"14802944\"]\n  10 [size=\"103522987\", alpha=\"0.17\", expect_size=\"31056896\"] \n  10 -> 16 [size =\"31056896\"]\n  10 -> 17 [size =\"31056896\"]\n  10 -> 18 [size =\"31056896\"]\n  10 -> 22 [size =\"31056896\"]\n  11 [size=\"24825173\", alpha=\"0.12\", expect_size=\"7447552\"] \n  11 -> 16 [size =\"7447552\"]\n  11 -> 17 [size =\"7447552\"]\n  11 -> 22 [size =\"7447552\"]\n  11 -> 22 [size =\"7447552\"]\n  12 [size=\"69410133\", alpha=\"0.09\", expect_size=\"20823040\"] \n  12 -> 16 [size =\"20823040\"]\n  12 -> 17 [size =\"20823040\"]\n  12 -> 19 [size =\"20823040\"]\n  12 -> 20 [size =\"20823040\"]\n  12 -> 21 [size =\"20823040\"]\n  13 [size=\"86343680\", alpha=\"0.19\", expect_size=\"25903104\"] \n  13 -> 16 [size =\"25903104\"]\n  13 -> 17 [size =\"25903104\"]\n  13 -> 19 [size =\"25903104\"]\n  13 -> 21 [size =\"25903104\"]\n  13 -> 22 [size =\"25903104\"]\n  14 [size=\"49489920\", alpha=\"0.08\", expect_size=\"14846976\"] \n  14 -> 16 [size =\"14846976\"]\n  14 -> 17 [size =\"14846976\"]\n  14 -> 19 [size =\"14846976\"]\n  14 -> 21 [size =\"14846976\"]\n  14 -> 22 [size =\"14846976\"]\n  15 [size=\"171479040\", alpha=\"0.07\", expect_size=\"51443712\"] \n  15 -> 16 [size =\"51443712\"]\n  15 -> 17 [size =\"51443712\"]\n  15 -> 22 [size =\"51443712\"]\n  16 [size=\"106584747\", alpha=\"0.05\", expect_size=\"31975424\"] \n  16 -> 23 [size =\"31975424\"]\n  16 -> 24 [size =\"31975424\"]\n  16 -> 25 [size =\"31975424\"]\n  17 [size=\"86988800\", alpha=\"0.05\", expect_size=\"26096640\"] \n  17 -> 25 [size =\"26096640\"]\n  18 [size=\"134690133\", alpha=\"0.18\", expect_size=\"40407040\"] \n  18 -> 23 [size =\"40407040\"]\n  18 -> 25 [size =\"40407040\"]\n  19 [size=\"152432640\", alpha=\"0.03\", expect_size=\"45729792\"] \n  20 [size=\"78001493\", alpha=\"0.12\", expect_size=\"23400448\"] \n  20 -> 23 [size =\"23400448\"]\n  20 -> 25 [size =\"23400448\"]\n  21 [size=\"51572053\", alpha=\"0.11\", expect_size=\"15471616\"] \n  22 [size=\"146810880\", alpha=\"0.00\", expect_size=\"44043264\"] \n  22 -> 23 [size =\"44043264\"]\n  22 -> 25 [size =\"44043264\"]\n  23 [size=\"61928107\", alpha=\"0.01\", expect_size=\"18578432\"] \n  24 [size=\"52698453\", alpha=\"0.14\", expect_size=\"15809536\"] \n  25 [size=\"117555200\", alpha=\"0.14\", expect_size=\"35266560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64071680\", alpha=\"0.09\", expect_size=\"32035840\"] \n  1 -> 5 [size =\"32035840\"]\n  1 -> 6 [size =\"32035840\"]\n  2 [size=\"44564480\", alpha=\"0.04\", expect_size=\"22282240\"] \n  2 -> 4 [size =\"22282240\"]\n  2 -> 6 [size =\"22282240\"]\n  3 [size=\"65994752\", alpha=\"0.18\", expect_size=\"32997376\"] \n  3 -> 6 [size =\"32997376\"]\n  4 [size=\"24408064\", alpha=\"0.14\", expect_size=\"12204032\"] \n  4 -> 7 [size =\"12204032\"]\n  4 -> 8 [size =\"12204032\"]\n  4 -> 10 [size =\"12204032\"]\n  5 [size=\"53661696\", alpha=\"0.19\", expect_size=\"26830848\"] \n  5 -> 8 [size =\"26830848\"]\n  6 [size=\"102172672\", alpha=\"0.09\", expect_size=\"51086336\"] \n  6 -> 7 [size =\"51086336\"]\n  6 -> 8 [size =\"51086336\"]\n  6 -> 9 [size =\"51086336\"]\n  7 [size=\"26789888\", alpha=\"0.19\", expect_size=\"13394944\"] \n  7 -> 12 [size =\"13394944\"]\n  7 -> 13 [size =\"13394944\"]\n  8 [size=\"90329088\", alpha=\"0.10\", expect_size=\"45164544\"] \n  8 -> 11 [size =\"45164544\"]\n  8 -> 13 [size =\"45164544\"]\n  8 -> 14 [size =\"45164544\"]\n  9 [size=\"33138688\", alpha=\"0.03\", expect_size=\"16569344\"] \n  9 -> 13 [size =\"16569344\"]\n  10 [size=\"24504320\", alpha=\"0.01\", expect_size=\"12252160\"] \n  11 [size=\"51501056\", alpha=\"0.19\", expect_size=\"25750528\"] \n  11 -> 15 [size =\"25750528\"]\n  11 -> 16 [size =\"25750528\"]\n  11 -> 18 [size =\"25750528\"]\n  12 [size=\"95442944\", alpha=\"0.02\", expect_size=\"47721472\"] \n  12 -> 15 [size =\"47721472\"]\n  12 -> 16 [size =\"47721472\"]\n  12 -> 18 [size =\"47721472\"]\n  13 [size=\"18743296\", alpha=\"0.06\", expect_size=\"9371648\"] \n  13 -> 18 [size =\"9371648\"]\n  14 [size=\"104687616\", alpha=\"0.11\", expect_size=\"52343808\"] \n  14 -> 15 [size =\"52343808\"]\n  14 -> 16 [size =\"52343808\"]\n  14 -> 17 [size =\"52343808\"]\n  15 [size=\"74928128\", alpha=\"0.06\", expect_size=\"37464064\"] \n  15 -> 21 [size =\"37464064\"]\n  16 [size=\"68286464\", alpha=\"0.13\", expect_size=\"34143232\"] \n  16 -> 19 [size =\"34143232\"]\n  16 -> 20 [size =\"34143232\"]\n  16 -> 22 [size =\"34143232\"]\n  16 -> 23 [size =\"34143232\"]\n  17 [size=\"16814080\", alpha=\"0.14\", expect_size=\"8407040\"] \n  17 -> 19 [size =\"8407040\"]\n  17 -> 23 [size =\"8407040\"]\n  18 [size=\"13584384\", alpha=\"0.14\", expect_size=\"6792192\"] \n  18 -> 20 [size =\"6792192\"]\n  18 -> 22 [size =\"6792192\"]\n  18 -> 23 [size =\"6792192\"]\n  19 [size=\"60162048\", alpha=\"0.00\", expect_size=\"30081024\"] \n  19 -> 24 [size =\"30081024\"]\n  20 [size=\"73218048\", alpha=\"0.18\", expect_size=\"36609024\"] \n  21 [size=\"78602240\", alpha=\"0.06\", expect_size=\"39301120\"] \n  21 -> 24 [size =\"39301120\"]\n  22 [size=\"71639040\", alpha=\"0.02\", expect_size=\"35819520\"] \n  22 -> 25 [size =\"35819520\"]\n  23 [size=\"82468864\", alpha=\"0.10\", expect_size=\"41234432\"] \n  23 -> 24 [size =\"41234432\"]\n  23 -> 25 [size =\"41234432\"]\n  24 [size=\"17750016\", alpha=\"0.01\", expect_size=\"8875008\"] \n  25 [size=\"71501824\", alpha=\"0.00\", expect_size=\"35750912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72151040\", alpha=\"0.17\", expect_size=\"28860416\"] \n  1 -> 2 [size =\"28860416\"]\n  2 [size=\"33815040\", alpha=\"0.01\", expect_size=\"13526016\"] \n  2 -> 3 [size =\"13526016\"]\n  2 -> 4 [size =\"13526016\"]\n  3 [size=\"124477440\", alpha=\"0.09\", expect_size=\"49790976\"] \n  3 -> 5 [size =\"49790976\"]\n  3 -> 6 [size =\"49790976\"]\n  4 [size=\"127411200\", alpha=\"0.01\", expect_size=\"50964480\"] \n  4 -> 5 [size =\"50964480\"]\n  4 -> 6 [size =\"50964480\"]\n  5 [size=\"14763520\", alpha=\"0.07\", expect_size=\"5905408\"] \n  5 -> 7 [size =\"5905408\"]\n  6 [size=\"52024320\", alpha=\"0.02\", expect_size=\"20809728\"] \n  7 [size=\"81999360\", alpha=\"0.07\", expect_size=\"32799744\"] \n  7 -> 8 [size =\"32799744\"]\n  7 -> 9 [size =\"32799744\"]\n  8 [size=\"102489600\", alpha=\"0.05\", expect_size=\"40995840\"] \n  8 -> 10 [size =\"40995840\"]\n  9 [size=\"56565760\", alpha=\"0.03\", expect_size=\"22626304\"] \n  9 -> 10 [size =\"22626304\"]\n  10 [size=\"90803200\", alpha=\"0.15\", expect_size=\"36321280\"] \n  10 -> 11 [size =\"36321280\"]\n  11 [size=\"46397440\", alpha=\"0.12\", expect_size=\"18558976\"] \n  11 -> 12 [size =\"18558976\"]\n  12 [size=\"29509120\", alpha=\"0.04\", expect_size=\"11803648\"] \n  12 -> 13 [size =\"11803648\"]\n  12 -> 14 [size =\"11803648\"]\n  13 [size=\"36259840\", alpha=\"0.08\", expect_size=\"14503936\"] \n  13 -> 16 [size =\"14503936\"]\n  14 [size=\"89850880\", alpha=\"0.05\", expect_size=\"35940352\"] \n  14 -> 15 [size =\"35940352\"]\n  15 [size=\"96880640\", alpha=\"0.15\", expect_size=\"38752256\"] \n  16 [size=\"18383360\", alpha=\"0.14\", expect_size=\"7353344\"] \n  16 -> 17 [size =\"7353344\"]\n  17 [size=\"31470080\", alpha=\"0.07\", expect_size=\"12588032\"] \n  17 -> 18 [size =\"12588032\"]\n  17 -> 19 [size =\"12588032\"]\n  18 [size=\"70858240\", alpha=\"0.01\", expect_size=\"28343296\"] \n  18 -> 20 [size =\"28343296\"]\n  19 [size=\"103255040\", alpha=\"0.18\", expect_size=\"41302016\"] \n  20 [size=\"119613440\", alpha=\"0.03\", expect_size=\"47845376\"] \n  20 -> 21 [size =\"47845376\"]\n  21 [size=\"89469440\", alpha=\"0.18\", expect_size=\"35787776\"] \n  21 -> 22 [size =\"35787776\"]\n  21 -> 23 [size =\"35787776\"]\n  22 [size=\"41666560\", alpha=\"0.16\", expect_size=\"16666624\"] \n  23 [size=\"62325760\", alpha=\"0.14\", expect_size=\"24930304\"] \n  23 -> 24 [size =\"24930304\"]\n  23 -> 25 [size =\"24930304\"]\n  24 [size=\"107435520\", alpha=\"0.11\", expect_size=\"42974208\"] \n  25 [size=\"20129280\", alpha=\"0.08\", expect_size=\"8051712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64075093\", alpha=\"0.14\", expect_size=\"19222528\"] \n  2 [size=\"74161493\", alpha=\"0.18\", expect_size=\"22248448\"] \n  3 [size=\"87644160\", alpha=\"0.09\", expect_size=\"26293248\"] \n  4 [size=\"44199253\", alpha=\"0.05\", expect_size=\"13259776\"] \n  5 [size=\"112377173\", alpha=\"0.17\", expect_size=\"33713152\"] \n  6 [size=\"130048000\", alpha=\"0.10\", expect_size=\"39014400\"] \n  7 [size=\"148080640\", alpha=\"0.08\", expect_size=\"44424192\"] \n  8 [size=\"139605333\", alpha=\"0.02\", expect_size=\"41881600\"] \n  9 [size=\"148363947\", alpha=\"0.01\", expect_size=\"44509184\"] \n  10 [size=\"114411520\", alpha=\"0.13\", expect_size=\"34323456\"] \n  11 [size=\"102512640\", alpha=\"0.10\", expect_size=\"30753792\"] \n  12 [size=\"54671360\", alpha=\"0.09\", expect_size=\"16401408\"] \n  13 [size=\"36997120\", alpha=\"0.08\", expect_size=\"11099136\"] \n  14 [size=\"107308373\", alpha=\"0.19\", expect_size=\"32192512\"] \n  15 [size=\"149756587\", alpha=\"0.07\", expect_size=\"44926976\"] \n  16 [size=\"127945387\", alpha=\"0.19\", expect_size=\"38383616\"] \n  17 [size=\"50469547\", alpha=\"0.11\", expect_size=\"15140864\"] \n  18 [size=\"113954133\", alpha=\"0.05\", expect_size=\"34186240\"] \n  19 [size=\"126999893\", alpha=\"0.19\", expect_size=\"38099968\"] \n  20 [size=\"134693547\", alpha=\"0.08\", expect_size=\"40408064\"] \n  21 [size=\"82022400\", alpha=\"0.02\", expect_size=\"24606720\"] \n  22 [size=\"159593813\", alpha=\"0.03\", expect_size=\"47878144\"] \n  23 [size=\"76393813\", alpha=\"0.13\", expect_size=\"22918144\"] \n  24 [size=\"135621973\", alpha=\"0.07\", expect_size=\"40686592\"] \n  25 [size=\"131215360\", alpha=\"0.12\", expect_size=\"39364608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25149440\", alpha=\"0.05\", expect_size=\"7544832\"] \n  1 -> 5 [size =\"7544832\"]\n  2 [size=\"132928853\", alpha=\"0.19\", expect_size=\"39878656\"] \n  2 -> 4 [size =\"39878656\"]\n  3 [size=\"69287253\", alpha=\"0.20\", expect_size=\"20786176\"] \n  3 -> 4 [size =\"20786176\"]\n  3 -> 5 [size =\"20786176\"]\n  3 -> 6 [size =\"20786176\"]\n  3 -> 7 [size =\"20786176\"]\n  4 [size=\"166359040\", alpha=\"0.09\", expect_size=\"49907712\"] \n  4 -> 9 [size =\"49907712\"]\n  4 -> 10 [size =\"49907712\"]\n  5 [size=\"37696853\", alpha=\"0.14\", expect_size=\"11309056\"] \n  5 -> 8 [size =\"11309056\"]\n  6 [size=\"140625920\", alpha=\"0.04\", expect_size=\"42187776\"] \n  6 -> 8 [size =\"42187776\"]\n  6 -> 9 [size =\"42187776\"]\n  6 -> 10 [size =\"42187776\"]\n  7 [size=\"50889387\", alpha=\"0.06\", expect_size=\"15266816\"] \n  7 -> 8 [size =\"15266816\"]\n  7 -> 9 [size =\"15266816\"]\n  7 -> 10 [size =\"15266816\"]\n  8 [size=\"35246080\", alpha=\"0.14\", expect_size=\"10573824\"] \n  8 -> 12 [size =\"10573824\"]\n  8 -> 13 [size =\"10573824\"]\n  9 [size=\"143568213\", alpha=\"0.03\", expect_size=\"43070464\"] \n  9 -> 11 [size =\"43070464\"]\n  9 -> 12 [size =\"43070464\"]\n  9 -> 13 [size =\"43070464\"]\n  10 [size=\"49152000\", alpha=\"0.11\", expect_size=\"14745600\"] \n  10 -> 13 [size =\"14745600\"]\n  11 [size=\"129798827\", alpha=\"0.12\", expect_size=\"38939648\"] \n  11 -> 14 [size =\"38939648\"]\n  12 [size=\"167260160\", alpha=\"0.04\", expect_size=\"50178048\"] \n  12 -> 14 [size =\"50178048\"]\n  12 -> 15 [size =\"50178048\"]\n  12 -> 16 [size =\"50178048\"]\n  13 [size=\"162304000\", alpha=\"0.16\", expect_size=\"48691200\"] \n  13 -> 14 [size =\"48691200\"]\n  13 -> 15 [size =\"48691200\"]\n  14 [size=\"160843093\", alpha=\"0.13\", expect_size=\"48252928\"] \n  14 -> 17 [size =\"48252928\"]\n  14 -> 18 [size =\"48252928\"]\n  15 [size=\"77233493\", alpha=\"0.04\", expect_size=\"23170048\"] \n  15 -> 17 [size =\"23170048\"]\n  15 -> 18 [size =\"23170048\"]\n  15 -> 19 [size =\"23170048\"]\n  15 -> 20 [size =\"23170048\"]\n  16 [size=\"30552747\", alpha=\"0.19\", expect_size=\"9165824\"] \n  16 -> 19 [size =\"9165824\"]\n  17 [size=\"61491200\", alpha=\"0.17\", expect_size=\"18447360\"] \n  17 -> 21 [size =\"18447360\"]\n  17 -> 23 [size =\"18447360\"]\n  18 [size=\"104960000\", alpha=\"0.07\", expect_size=\"31488000\"] \n  18 -> 22 [size =\"31488000\"]\n  19 [size=\"59811840\", alpha=\"0.06\", expect_size=\"17943552\"] \n  19 -> 21 [size =\"17943552\"]\n  19 -> 22 [size =\"17943552\"]\n  20 [size=\"84039680\", alpha=\"0.16\", expect_size=\"25211904\"] \n  20 -> 21 [size =\"25211904\"]\n  20 -> 23 [size =\"25211904\"]\n  21 [size=\"174387200\", alpha=\"0.07\", expect_size=\"52316160\"] \n  21 -> 24 [size =\"52316160\"]\n  22 [size=\"114786987\", alpha=\"0.12\", expect_size=\"34436096\"] \n  22 -> 24 [size =\"34436096\"]\n  22 -> 25 [size =\"34436096\"]\n  23 [size=\"147606187\", alpha=\"0.04\", expect_size=\"44281856\"] \n  23 -> 24 [size =\"44281856\"]\n  24 [size=\"115800747\", alpha=\"0.15\", expect_size=\"34740224\"] \n  25 [size=\"63989760\", alpha=\"0.08\", expect_size=\"19196928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117251413\", alpha=\"0.10\", expect_size=\"35175424\"] \n  1 -> 2 [size =\"35175424\"]\n  2 [size=\"104420693\", alpha=\"0.07\", expect_size=\"31326208\"] \n  2 -> 3 [size =\"31326208\"]\n  3 [size=\"106052267\", alpha=\"0.14\", expect_size=\"31815680\"] \n  3 -> 4 [size =\"31815680\"]\n  4 [size=\"168912213\", alpha=\"0.18\", expect_size=\"50673664\"] \n  4 -> 5 [size =\"50673664\"]\n  5 [size=\"90456747\", alpha=\"0.07\", expect_size=\"27137024\"] \n  5 -> 6 [size =\"27137024\"]\n  6 [size=\"58661547\", alpha=\"0.01\", expect_size=\"17598464\"] \n  6 -> 7 [size =\"17598464\"]\n  7 [size=\"103970133\", alpha=\"0.18\", expect_size=\"31191040\"] \n  7 -> 8 [size =\"31191040\"]\n  8 [size=\"98290347\", alpha=\"0.12\", expect_size=\"29487104\"] \n  8 -> 9 [size =\"29487104\"]\n  9 [size=\"168686933\", alpha=\"0.09\", expect_size=\"50606080\"] \n  9 -> 10 [size =\"50606080\"]\n  10 [size=\"83101013\", alpha=\"0.07\", expect_size=\"24930304\"] \n  10 -> 11 [size =\"24930304\"]\n  11 [size=\"144609280\", alpha=\"0.14\", expect_size=\"43382784\"] \n  11 -> 12 [size =\"43382784\"]\n  12 [size=\"68884480\", alpha=\"0.15\", expect_size=\"20665344\"] \n  12 -> 13 [size =\"20665344\"]\n  13 [size=\"122791253\", alpha=\"0.15\", expect_size=\"36837376\"] \n  13 -> 14 [size =\"36837376\"]\n  14 [size=\"75629227\", alpha=\"0.09\", expect_size=\"22688768\"] \n  14 -> 15 [size =\"22688768\"]\n  15 [size=\"58269013\", alpha=\"0.10\", expect_size=\"17480704\"] \n  15 -> 16 [size =\"17480704\"]\n  16 [size=\"113954133\", alpha=\"0.18\", expect_size=\"34186240\"] \n  16 -> 17 [size =\"34186240\"]\n  17 [size=\"125453653\", alpha=\"0.07\", expect_size=\"37636096\"] \n  17 -> 18 [size =\"37636096\"]\n  18 [size=\"106110293\", alpha=\"0.08\", expect_size=\"31833088\"] \n  18 -> 19 [size =\"31833088\"]\n  19 [size=\"45779627\", alpha=\"0.07\", expect_size=\"13733888\"] \n  19 -> 20 [size =\"13733888\"]\n  20 [size=\"118545067\", alpha=\"0.03\", expect_size=\"35563520\"] \n  20 -> 21 [size =\"35563520\"]\n  21 [size=\"17906347\", alpha=\"0.11\", expect_size=\"5371904\"] \n  21 -> 22 [size =\"5371904\"]\n  22 [size=\"128614400\", alpha=\"0.10\", expect_size=\"38584320\"] \n  22 -> 23 [size =\"38584320\"]\n  23 [size=\"91050667\", alpha=\"0.01\", expect_size=\"27315200\"] \n  23 -> 24 [size =\"27315200\"]\n  24 [size=\"51326293\", alpha=\"0.11\", expect_size=\"15397888\"] \n  24 -> 25 [size =\"15397888\"]\n  25 [size=\"119988907\", alpha=\"0.10\", expect_size=\"35996672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26030080\", alpha=\"0.08\", expect_size=\"10412032\"] \n  1 -> 2 [size =\"10412032\"]\n  2 [size=\"43537920\", alpha=\"0.02\", expect_size=\"17415168\"] \n  2 -> 3 [size =\"17415168\"]\n  3 [size=\"129794560\", alpha=\"0.01\", expect_size=\"51917824\"] \n  3 -> 4 [size =\"51917824\"]\n  4 [size=\"17100800\", alpha=\"0.14\", expect_size=\"6840320\"] \n  4 -> 5 [size =\"6840320\"]\n  5 [size=\"44090880\", alpha=\"0.05\", expect_size=\"17636352\"] \n  5 -> 6 [size =\"17636352\"]\n  6 [size=\"40980480\", alpha=\"0.06\", expect_size=\"16392192\"] \n  6 -> 7 [size =\"16392192\"]\n  7 [size=\"52551680\", alpha=\"0.12\", expect_size=\"21020672\"] \n  7 -> 8 [size =\"21020672\"]\n  8 [size=\"98754560\", alpha=\"0.18\", expect_size=\"39501824\"] \n  8 -> 9 [size =\"39501824\"]\n  9 [size=\"21347840\", alpha=\"0.17\", expect_size=\"8539136\"] \n  9 -> 10 [size =\"8539136\"]\n  10 [size=\"30259200\", alpha=\"0.10\", expect_size=\"12103680\"] \n  10 -> 11 [size =\"12103680\"]\n  11 [size=\"14103040\", alpha=\"0.06\", expect_size=\"5641216\"] \n  11 -> 12 [size =\"5641216\"]\n  12 [size=\"64128000\", alpha=\"0.10\", expect_size=\"25651200\"] \n  12 -> 13 [size =\"25651200\"]\n  13 [size=\"74890240\", alpha=\"0.09\", expect_size=\"29956096\"] \n  13 -> 14 [size =\"29956096\"]\n  14 [size=\"81502720\", alpha=\"0.19\", expect_size=\"32601088\"] \n  14 -> 15 [size =\"32601088\"]\n  15 [size=\"44887040\", alpha=\"0.10\", expect_size=\"17954816\"] \n  15 -> 16 [size =\"17954816\"]\n  16 [size=\"76482560\", alpha=\"0.06\", expect_size=\"30593024\"] \n  16 -> 17 [size =\"30593024\"]\n  17 [size=\"113533440\", alpha=\"0.07\", expect_size=\"45413376\"] \n  17 -> 18 [size =\"45413376\"]\n  18 [size=\"66956800\", alpha=\"0.16\", expect_size=\"26782720\"] \n  18 -> 19 [size =\"26782720\"]\n  19 [size=\"52561920\", alpha=\"0.11\", expect_size=\"21024768\"] \n  19 -> 20 [size =\"21024768\"]\n  20 [size=\"37798400\", alpha=\"0.01\", expect_size=\"15119360\"] \n  20 -> 21 [size =\"15119360\"]\n  21 [size=\"99366400\", alpha=\"0.13\", expect_size=\"39746560\"] \n  21 -> 22 [size =\"39746560\"]\n  22 [size=\"16110080\", alpha=\"0.10\", expect_size=\"6444032\"] \n  22 -> 23 [size =\"6444032\"]\n  23 [size=\"73981440\", alpha=\"0.06\", expect_size=\"29592576\"] \n  23 -> 24 [size =\"29592576\"]\n  24 [size=\"126458880\", alpha=\"0.04\", expect_size=\"50583552\"] \n  24 -> 25 [size =\"50583552\"]\n  25 [size=\"123358720\", alpha=\"0.07\", expect_size=\"49343488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54075392\", alpha=\"0.18\", expect_size=\"27037696\"] \n  1 -> 4 [size =\"27037696\"]\n  1 -> 5 [size =\"27037696\"]\n  1 -> 6 [size =\"27037696\"]\n  1 -> 7 [size =\"27037696\"]\n  2 [size=\"41781248\", alpha=\"0.02\", expect_size=\"20890624\"] \n  2 -> 4 [size =\"20890624\"]\n  2 -> 6 [size =\"20890624\"]\n  3 [size=\"103430144\", alpha=\"0.04\", expect_size=\"51715072\"] \n  3 -> 4 [size =\"51715072\"]\n  3 -> 5 [size =\"51715072\"]\n  3 -> 6 [size =\"51715072\"]\n  4 [size=\"86480896\", alpha=\"0.06\", expect_size=\"43240448\"] \n  4 -> 8 [size =\"43240448\"]\n  4 -> 9 [size =\"43240448\"]\n  4 -> 11 [size =\"43240448\"]\n  5 [size=\"65699840\", alpha=\"0.02\", expect_size=\"32849920\"] \n  5 -> 8 [size =\"32849920\"]\n  5 -> 9 [size =\"32849920\"]\n  5 -> 10 [size =\"32849920\"]\n  5 -> 11 [size =\"32849920\"]\n  6 [size=\"32120832\", alpha=\"0.10\", expect_size=\"16060416\"] \n  6 -> 9 [size =\"16060416\"]\n  6 -> 10 [size =\"16060416\"]\n  6 -> 10 [size =\"16060416\"]\n  6 -> 11 [size =\"16060416\"]\n  7 [size=\"56453120\", alpha=\"0.18\", expect_size=\"28226560\"] \n  7 -> 9 [size =\"28226560\"]\n  7 -> 10 [size =\"28226560\"]\n  7 -> 11 [size =\"28226560\"]\n  8 [size=\"76361728\", alpha=\"0.03\", expect_size=\"38180864\"] \n  8 -> 12 [size =\"38180864\"]\n  8 -> 13 [size =\"38180864\"]\n  8 -> 15 [size =\"38180864\"]\n  9 [size=\"78131200\", alpha=\"0.02\", expect_size=\"39065600\"] \n  9 -> 12 [size =\"39065600\"]\n  9 -> 13 [size =\"39065600\"]\n  9 -> 14 [size =\"39065600\"]\n  9 -> 15 [size =\"39065600\"]\n  10 [size=\"44161024\", alpha=\"0.17\", expect_size=\"22080512\"] \n  10 -> 13 [size =\"22080512\"]\n  10 -> 14 [size =\"22080512\"]\n  10 -> 14 [size =\"22080512\"]\n  11 [size=\"46778368\", alpha=\"0.19\", expect_size=\"23389184\"] \n  11 -> 13 [size =\"23389184\"]\n  11 -> 14 [size =\"23389184\"]\n  11 -> 15 [size =\"23389184\"]\n  12 [size=\"36368384\", alpha=\"0.06\", expect_size=\"18184192\"] \n  12 -> 16 [size =\"18184192\"]\n  12 -> 18 [size =\"18184192\"]\n  13 [size=\"45424640\", alpha=\"0.11\", expect_size=\"22712320\"] \n  13 -> 16 [size =\"22712320\"]\n  13 -> 17 [size =\"22712320\"]\n  13 -> 18 [size =\"22712320\"]\n  14 [size=\"62371840\", alpha=\"0.12\", expect_size=\"31185920\"] \n  14 -> 16 [size =\"31185920\"]\n  14 -> 17 [size =\"31185920\"]\n  14 -> 18 [size =\"31185920\"]\n  15 [size=\"90486784\", alpha=\"0.19\", expect_size=\"45243392\"] \n  15 -> 16 [size =\"45243392\"]\n  15 -> 18 [size =\"45243392\"]\n  16 [size=\"98281472\", alpha=\"0.09\", expect_size=\"49140736\"] \n  16 -> 19 [size =\"49140736\"]\n  16 -> 20 [size =\"49140736\"]\n  16 -> 21 [size =\"49140736\"]\n  16 -> 22 [size =\"49140736\"]\n  17 [size=\"50561024\", alpha=\"0.05\", expect_size=\"25280512\"] \n  17 -> 20 [size =\"25280512\"]\n  17 -> 21 [size =\"25280512\"]\n  17 -> 22 [size =\"25280512\"]\n  17 -> 22 [size =\"25280512\"]\n  18 [size=\"39401472\", alpha=\"0.20\", expect_size=\"19700736\"] \n  18 -> 20 [size =\"19700736\"]\n  19 [size=\"53336064\", alpha=\"0.11\", expect_size=\"26668032\"] \n  19 -> 24 [size =\"26668032\"]\n  19 -> 25 [size =\"26668032\"]\n  20 [size=\"64753664\", alpha=\"0.07\", expect_size=\"32376832\"] \n  20 -> 23 [size =\"32376832\"]\n  20 -> 24 [size =\"32376832\"]\n  20 -> 25 [size =\"32376832\"]\n  21 [size=\"50874368\", alpha=\"0.12\", expect_size=\"25437184\"] \n  21 -> 24 [size =\"25437184\"]\n  21 -> 25 [size =\"25437184\"]\n  21 -> 25 [size =\"25437184\"]\n  22 [size=\"46325760\", alpha=\"0.04\", expect_size=\"23162880\"] \n  22 -> 23 [size =\"23162880\"]\n  22 -> 24 [size =\"23162880\"]\n  23 [size=\"74579968\", alpha=\"0.16\", expect_size=\"37289984\"] \n  24 [size=\"31053824\", alpha=\"0.03\", expect_size=\"15526912\"] \n  25 [size=\"89688064\", alpha=\"0.03\", expect_size=\"44844032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23473493\", alpha=\"0.12\", expect_size=\"7042048\"] \n  1 -> 12 [size =\"7042048\"]\n  1 -> 13 [size =\"7042048\"]\n  2 [size=\"71516160\", alpha=\"0.03\", expect_size=\"21454848\"] \n  2 -> 12 [size =\"21454848\"]\n  3 [size=\"152135680\", alpha=\"0.06\", expect_size=\"45640704\"] \n  4 [size=\"117483520\", alpha=\"0.11\", expect_size=\"35245056\"] \n  4 -> 10 [size =\"35245056\"]\n  4 -> 12 [size =\"35245056\"]\n  5 [size=\"150422187\", alpha=\"0.18\", expect_size=\"45126656\"] \n  5 -> 12 [size =\"45126656\"]\n  5 -> 12 [size =\"45126656\"]\n  6 [size=\"27743573\", alpha=\"0.10\", expect_size=\"8323072\"] \n  6 -> 10 [size =\"8323072\"]\n  6 -> 13 [size =\"8323072\"]\n  7 [size=\"69683200\", alpha=\"0.14\", expect_size=\"20904960\"] \n  7 -> 11 [size =\"20904960\"]\n  7 -> 13 [size =\"20904960\"]\n  8 [size=\"83350187\", alpha=\"0.19\", expect_size=\"25005056\"] \n  9 [size=\"169895253\", alpha=\"0.20\", expect_size=\"50968576\"] \n  9 -> 11 [size =\"50968576\"]\n  9 -> 13 [size =\"50968576\"]\n  10 [size=\"105956693\", alpha=\"0.08\", expect_size=\"31787008\"] \n  10 -> 14 [size =\"31787008\"]\n  10 -> 15 [size =\"31787008\"]\n  10 -> 18 [size =\"31787008\"]\n  11 [size=\"121685333\", alpha=\"0.05\", expect_size=\"36505600\"] \n  11 -> 15 [size =\"36505600\"]\n  11 -> 17 [size =\"36505600\"]\n  11 -> 18 [size =\"36505600\"]\n  12 [size=\"60433067\", alpha=\"0.06\", expect_size=\"18129920\"] \n  12 -> 16 [size =\"18129920\"]\n  12 -> 17 [size =\"18129920\"]\n  12 -> 19 [size =\"18129920\"]\n  12 -> 20 [size =\"18129920\"]\n  13 [size=\"83012267\", alpha=\"0.12\", expect_size=\"24903680\"] \n  13 -> 19 [size =\"24903680\"]\n  14 [size=\"130177707\", alpha=\"0.07\", expect_size=\"39053312\"] \n  15 [size=\"60750507\", alpha=\"0.14\", expect_size=\"18225152\"] \n  15 -> 21 [size =\"18225152\"]\n  15 -> 22 [size =\"18225152\"]\n  16 [size=\"41547093\", alpha=\"0.15\", expect_size=\"12464128\"] \n  16 -> 21 [size =\"12464128\"]\n  16 -> 24 [size =\"12464128\"]\n  17 [size=\"119528107\", alpha=\"0.07\", expect_size=\"35858432\"] \n  17 -> 21 [size =\"35858432\"]\n  17 -> 24 [size =\"35858432\"]\n  17 -> 25 [size =\"35858432\"]\n  18 [size=\"69775360\", alpha=\"0.15\", expect_size=\"20932608\"] \n  18 -> 21 [size =\"20932608\"]\n  18 -> 23 [size =\"20932608\"]\n  18 -> 24 [size =\"20932608\"]\n  19 [size=\"64856747\", alpha=\"0.09\", expect_size=\"19457024\"] \n  19 -> 21 [size =\"19457024\"]\n  19 -> 24 [size =\"19457024\"]\n  19 -> 25 [size =\"19457024\"]\n  20 [size=\"64215040\", alpha=\"0.03\", expect_size=\"19264512\"] \n  20 -> 22 [size =\"19264512\"]\n  21 [size=\"123439787\", alpha=\"0.19\", expect_size=\"37031936\"] \n  22 [size=\"165905067\", alpha=\"0.01\", expect_size=\"49771520\"] \n  23 [size=\"53268480\", alpha=\"0.00\", expect_size=\"15980544\"] \n  24 [size=\"150016000\", alpha=\"0.12\", expect_size=\"45004800\"] \n  25 [size=\"44086613\", alpha=\"0.01\", expect_size=\"13225984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85153280\", alpha=\"0.00\", expect_size=\"34061312\"] \n  2 [size=\"28305920\", alpha=\"0.11\", expect_size=\"11322368\"] \n  2 -> 7 [size =\"11322368\"]\n  3 [size=\"83233280\", alpha=\"0.19\", expect_size=\"33293312\"] \n  3 -> 5 [size =\"33293312\"]\n  3 -> 6 [size =\"33293312\"]\n  4 [size=\"65123840\", alpha=\"0.16\", expect_size=\"26049536\"] \n  4 -> 5 [size =\"26049536\"]\n  4 -> 6 [size =\"26049536\"]\n  4 -> 7 [size =\"26049536\"]\n  5 [size=\"26048000\", alpha=\"0.01\", expect_size=\"10419200\"] \n  5 -> 8 [size =\"10419200\"]\n  5 -> 9 [size =\"10419200\"]\n  5 -> 11 [size =\"10419200\"]\n  6 [size=\"75174400\", alpha=\"0.13\", expect_size=\"30069760\"] \n  6 -> 10 [size =\"30069760\"]\n  7 [size=\"114280960\", alpha=\"0.19\", expect_size=\"45712384\"] \n  8 [size=\"22689280\", alpha=\"0.15\", expect_size=\"9075712\"] \n  8 -> 12 [size =\"9075712\"]\n  8 -> 13 [size =\"9075712\"]\n  8 -> 15 [size =\"9075712\"]\n  9 [size=\"97118720\", alpha=\"0.13\", expect_size=\"38847488\"] \n  9 -> 12 [size =\"38847488\"]\n  10 [size=\"45962240\", alpha=\"0.04\", expect_size=\"18384896\"] \n  10 -> 14 [size =\"18384896\"]\n  11 [size=\"72273920\", alpha=\"0.16\", expect_size=\"28909568\"] \n  11 -> 15 [size =\"28909568\"]\n  12 [size=\"74524160\", alpha=\"0.13\", expect_size=\"29809664\"] \n  12 -> 17 [size =\"29809664\"]\n  12 -> 18 [size =\"29809664\"]\n  13 [size=\"20528640\", alpha=\"0.13\", expect_size=\"8211456\"] \n  13 -> 16 [size =\"8211456\"]\n  14 [size=\"130880000\", alpha=\"0.08\", expect_size=\"52352000\"] \n  14 -> 18 [size =\"52352000\"]\n  15 [size=\"107033600\", alpha=\"0.10\", expect_size=\"42813440\"] \n  15 -> 16 [size =\"42813440\"]\n  16 [size=\"110231040\", alpha=\"0.10\", expect_size=\"44092416\"] \n  16 -> 19 [size =\"44092416\"]\n  16 -> 20 [size =\"44092416\"]\n  17 [size=\"66416640\", alpha=\"0.07\", expect_size=\"26566656\"] \n  17 -> 22 [size =\"26566656\"]\n  18 [size=\"62013440\", alpha=\"0.17\", expect_size=\"24805376\"] \n  18 -> 19 [size =\"24805376\"]\n  18 -> 21 [size =\"24805376\"]\n  18 -> 22 [size =\"24805376\"]\n  19 [size=\"34716160\", alpha=\"0.09\", expect_size=\"13886464\"] \n  20 [size=\"108736000\", alpha=\"0.05\", expect_size=\"43494400\"] \n  20 -> 24 [size =\"43494400\"]\n  21 [size=\"15434240\", alpha=\"0.13\", expect_size=\"6173696\"] \n  21 -> 24 [size =\"6173696\"]\n  21 -> 25 [size =\"6173696\"]\n  22 [size=\"107811840\", alpha=\"0.04\", expect_size=\"43124736\"] \n  22 -> 23 [size =\"43124736\"]\n  23 [size=\"67164160\", alpha=\"0.07\", expect_size=\"26865664\"] \n  24 [size=\"24893440\", alpha=\"0.19\", expect_size=\"9957376\"] \n  25 [size=\"75010560\", alpha=\"0.13\", expect_size=\"30004224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84677973\", alpha=\"0.03\", expect_size=\"25403392\"] \n  1 -> 7 [size =\"25403392\"]\n  1 -> 8 [size =\"25403392\"]\n  2 [size=\"62231893\", alpha=\"0.17\", expect_size=\"18669568\"] \n  2 -> 7 [size =\"18669568\"]\n  2 -> 10 [size =\"18669568\"]\n  2 -> 11 [size =\"18669568\"]\n  2 -> 12 [size =\"18669568\"]\n  2 -> 13 [size =\"18669568\"]\n  3 [size=\"42536960\", alpha=\"0.13\", expect_size=\"12761088\"] \n  3 -> 7 [size =\"12761088\"]\n  3 -> 9 [size =\"12761088\"]\n  3 -> 11 [size =\"12761088\"]\n  3 -> 12 [size =\"12761088\"]\n  4 [size=\"142196053\", alpha=\"0.05\", expect_size=\"42658816\"] \n  4 -> 7 [size =\"42658816\"]\n  4 -> 8 [size =\"42658816\"]\n  4 -> 9 [size =\"42658816\"]\n  4 -> 10 [size =\"42658816\"]\n  4 -> 11 [size =\"42658816\"]\n  4 -> 12 [size =\"42658816\"]\n  5 [size=\"42226347\", alpha=\"0.11\", expect_size=\"12667904\"] \n  5 -> 7 [size =\"12667904\"]\n  5 -> 9 [size =\"12667904\"]\n  5 -> 10 [size =\"12667904\"]\n  5 -> 10 [size =\"12667904\"]\n  5 -> 11 [size =\"12667904\"]\n  5 -> 12 [size =\"12667904\"]\n  6 [size=\"56077653\", alpha=\"0.05\", expect_size=\"16823296\"] \n  6 -> 9 [size =\"16823296\"]\n  6 -> 10 [size =\"16823296\"]\n  6 -> 10 [size =\"16823296\"]\n  6 -> 11 [size =\"16823296\"]\n  6 -> 12 [size =\"16823296\"]\n  6 -> 12 [size =\"16823296\"]\n  7 [size=\"68416853\", alpha=\"0.11\", expect_size=\"20525056\"] \n  7 -> 15 [size =\"20525056\"]\n  7 -> 16 [size =\"20525056\"]\n  7 -> 17 [size =\"20525056\"]\n  7 -> 18 [size =\"20525056\"]\n  7 -> 20 [size =\"20525056\"]\n  8 [size=\"136878080\", alpha=\"0.15\", expect_size=\"41063424\"] \n  8 -> 15 [size =\"41063424\"]\n  8 -> 17 [size =\"41063424\"]\n  8 -> 17 [size =\"41063424\"]\n  8 -> 18 [size =\"41063424\"]\n  8 -> 20 [size =\"41063424\"]\n  8 -> 21 [size =\"41063424\"]\n  8 -> 22 [size =\"41063424\"]\n  9 [size=\"85575680\", alpha=\"0.04\", expect_size=\"25672704\"] \n  9 -> 15 [size =\"25672704\"]\n  9 -> 16 [size =\"25672704\"]\n  9 -> 17 [size =\"25672704\"]\n  9 -> 18 [size =\"25672704\"]\n  9 -> 20 [size =\"25672704\"]\n  9 -> 22 [size =\"25672704\"]\n  10 [size=\"95211520\", alpha=\"0.16\", expect_size=\"28563456\"] \n  10 -> 14 [size =\"28563456\"]\n  10 -> 15 [size =\"28563456\"]\n  10 -> 19 [size =\"28563456\"]\n  10 -> 20 [size =\"28563456\"]\n  11 [size=\"149155840\", alpha=\"0.15\", expect_size=\"44746752\"] \n  11 -> 14 [size =\"44746752\"]\n  11 -> 15 [size =\"44746752\"]\n  11 -> 16 [size =\"44746752\"]\n  11 -> 17 [size =\"44746752\"]\n  11 -> 20 [size =\"44746752\"]\n  11 -> 21 [size =\"44746752\"]\n  11 -> 22 [size =\"44746752\"]\n  12 [size=\"174735360\", alpha=\"0.11\", expect_size=\"52420608\"] \n  12 -> 15 [size =\"52420608\"]\n  12 -> 17 [size =\"52420608\"]\n  12 -> 20 [size =\"52420608\"]\n  12 -> 22 [size =\"52420608\"]\n  13 [size=\"151524693\", alpha=\"0.11\", expect_size=\"45457408\"] \n  13 -> 15 [size =\"45457408\"]\n  13 -> 16 [size =\"45457408\"]\n  13 -> 17 [size =\"45457408\"]\n  13 -> 18 [size =\"45457408\"]\n  13 -> 20 [size =\"45457408\"]\n  14 [size=\"95081813\", alpha=\"0.20\", expect_size=\"28524544\"] \n  14 -> 23 [size =\"28524544\"]\n  14 -> 24 [size =\"28524544\"]\n  15 [size=\"136983893\", alpha=\"0.06\", expect_size=\"41095168\"] \n  15 -> 24 [size =\"41095168\"]\n  16 [size=\"68055040\", alpha=\"0.14\", expect_size=\"20416512\"] \n  16 -> 23 [size =\"20416512\"]\n  16 -> 24 [size =\"20416512\"]\n  17 [size=\"104758613\", alpha=\"0.03\", expect_size=\"31427584\"] \n  17 -> 23 [size =\"31427584\"]\n  18 [size=\"31488000\", alpha=\"0.06\", expect_size=\"9446400\"] \n  18 -> 24 [size =\"9446400\"]\n  19 [size=\"146169173\", alpha=\"0.10\", expect_size=\"43850752\"] \n  19 -> 23 [size =\"43850752\"]\n  19 -> 24 [size =\"43850752\"]\n  19 -> 25 [size =\"43850752\"]\n  20 [size=\"22514347\", alpha=\"0.00\", expect_size=\"6754304\"] \n  20 -> 24 [size =\"6754304\"]\n  21 [size=\"145042773\", alpha=\"0.18\", expect_size=\"43512832\"] \n  21 -> 23 [size =\"43512832\"]\n  21 -> 24 [size =\"43512832\"]\n  22 [size=\"103946240\", alpha=\"0.03\", expect_size=\"31183872\"] \n  22 -> 23 [size =\"31183872\"]\n  23 [size=\"29771093\", alpha=\"0.10\", expect_size=\"8931328\"] \n  24 [size=\"114817707\", alpha=\"0.13\", expect_size=\"34445312\"] \n  25 [size=\"112315733\", alpha=\"0.19\", expect_size=\"33694720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91600213\", alpha=\"0.04\", expect_size=\"27480064\"] \n  1 -> 4 [size =\"27480064\"]\n  1 -> 5 [size =\"27480064\"]\n  1 -> 8 [size =\"27480064\"]\n  2 [size=\"49711787\", alpha=\"0.15\", expect_size=\"14913536\"] \n  2 -> 4 [size =\"14913536\"]\n  2 -> 6 [size =\"14913536\"]\n  2 -> 7 [size =\"14913536\"]\n  2 -> 8 [size =\"14913536\"]\n  3 [size=\"18909867\", alpha=\"0.12\", expect_size=\"5672960\"] \n  3 -> 5 [size =\"5672960\"]\n  3 -> 6 [size =\"5672960\"]\n  3 -> 7 [size =\"5672960\"]\n  4 [size=\"158153387\", alpha=\"0.07\", expect_size=\"47446016\"] \n  4 -> 9 [size =\"47446016\"]\n  4 -> 10 [size =\"47446016\"]\n  4 -> 12 [size =\"47446016\"]\n  5 [size=\"81206613\", alpha=\"0.09\", expect_size=\"24361984\"] \n  5 -> 11 [size =\"24361984\"]\n  6 [size=\"41014613\", alpha=\"0.19\", expect_size=\"12304384\"] \n  7 [size=\"126525440\", alpha=\"0.01\", expect_size=\"37957632\"] \n  7 -> 9 [size =\"37957632\"]\n  8 [size=\"146903040\", alpha=\"0.04\", expect_size=\"44070912\"] \n  8 -> 9 [size =\"44070912\"]\n  8 -> 11 [size =\"44070912\"]\n  9 [size=\"67938987\", alpha=\"0.20\", expect_size=\"20381696\"] \n  9 -> 14 [size =\"20381696\"]\n  9 -> 16 [size =\"20381696\"]\n  10 [size=\"166587733\", alpha=\"0.17\", expect_size=\"49976320\"] \n  11 [size=\"105434453\", alpha=\"0.17\", expect_size=\"31630336\"] \n  11 -> 14 [size =\"31630336\"]\n  11 -> 15 [size =\"31630336\"]\n  11 -> 16 [size =\"31630336\"]\n  12 [size=\"136331947\", alpha=\"0.10\", expect_size=\"40899584\"] \n  12 -> 13 [size =\"40899584\"]\n  12 -> 14 [size =\"40899584\"]\n  12 -> 15 [size =\"40899584\"]\n  12 -> 16 [size =\"40899584\"]\n  13 [size=\"97447253\", alpha=\"0.09\", expect_size=\"29234176\"] \n  13 -> 17 [size =\"29234176\"]\n  13 -> 18 [size =\"29234176\"]\n  14 [size=\"36519253\", alpha=\"0.07\", expect_size=\"10955776\"] \n  14 -> 18 [size =\"10955776\"]\n  15 [size=\"90644480\", alpha=\"0.00\", expect_size=\"27193344\"] \n  16 [size=\"163287040\", alpha=\"0.10\", expect_size=\"48986112\"] \n  16 -> 19 [size =\"48986112\"]\n  17 [size=\"158040747\", alpha=\"0.20\", expect_size=\"47412224\"] \n  17 -> 20 [size =\"47412224\"]\n  17 -> 21 [size =\"47412224\"]\n  17 -> 22 [size =\"47412224\"]\n  18 [size=\"162491733\", alpha=\"0.10\", expect_size=\"48747520\"] \n  18 -> 20 [size =\"48747520\"]\n  18 -> 22 [size =\"48747520\"]\n  18 -> 23 [size =\"48747520\"]\n  19 [size=\"36468053\", alpha=\"0.18\", expect_size=\"10940416\"] \n  20 [size=\"33150293\", alpha=\"0.10\", expect_size=\"9945088\"] \n  20 -> 25 [size =\"9945088\"]\n  21 [size=\"163266560\", alpha=\"0.11\", expect_size=\"48979968\"] \n  22 [size=\"138963627\", alpha=\"0.17\", expect_size=\"41689088\"] \n  22 -> 24 [size =\"41689088\"]\n  23 [size=\"62423040\", alpha=\"0.03\", expect_size=\"18726912\"] \n  24 [size=\"130519040\", alpha=\"0.06\", expect_size=\"39155712\"] \n  25 [size=\"25285973\", alpha=\"0.18\", expect_size=\"7585792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88276480\", alpha=\"0.07\", expect_size=\"35310592\"] \n  1 -> 2 [size =\"35310592\"]\n  2 [size=\"76544000\", alpha=\"0.15\", expect_size=\"30617600\"] \n  2 -> 3 [size =\"30617600\"]\n  3 [size=\"30740480\", alpha=\"0.20\", expect_size=\"12296192\"] \n  3 -> 4 [size =\"12296192\"]\n  4 [size=\"36641280\", alpha=\"0.07\", expect_size=\"14656512\"] \n  4 -> 5 [size =\"14656512\"]\n  5 [size=\"96775680\", alpha=\"0.07\", expect_size=\"38710272\"] \n  5 -> 6 [size =\"38710272\"]\n  6 [size=\"53977600\", alpha=\"0.17\", expect_size=\"21591040\"] \n  6 -> 7 [size =\"21591040\"]\n  7 [size=\"53130240\", alpha=\"0.01\", expect_size=\"21252096\"] \n  7 -> 8 [size =\"21252096\"]\n  8 [size=\"92510720\", alpha=\"0.07\", expect_size=\"37004288\"] \n  8 -> 9 [size =\"37004288\"]\n  9 [size=\"101504000\", alpha=\"0.15\", expect_size=\"40601600\"] \n  9 -> 10 [size =\"40601600\"]\n  10 [size=\"47808000\", alpha=\"0.07\", expect_size=\"19123200\"] \n  10 -> 11 [size =\"19123200\"]\n  11 [size=\"38661120\", alpha=\"0.16\", expect_size=\"15464448\"] \n  11 -> 12 [size =\"15464448\"]\n  12 [size=\"82063360\", alpha=\"0.09\", expect_size=\"32825344\"] \n  12 -> 13 [size =\"32825344\"]\n  13 [size=\"51361280\", alpha=\"0.15\", expect_size=\"20544512\"] \n  13 -> 14 [size =\"20544512\"]\n  14 [size=\"50588160\", alpha=\"0.09\", expect_size=\"20235264\"] \n  14 -> 15 [size =\"20235264\"]\n  15 [size=\"92840960\", alpha=\"0.17\", expect_size=\"37136384\"] \n  15 -> 16 [size =\"37136384\"]\n  16 [size=\"15416320\", alpha=\"0.02\", expect_size=\"6166528\"] \n  16 -> 17 [size =\"6166528\"]\n  17 [size=\"117150720\", alpha=\"0.11\", expect_size=\"46860288\"] \n  17 -> 18 [size =\"46860288\"]\n  18 [size=\"123376640\", alpha=\"0.10\", expect_size=\"49350656\"] \n  18 -> 19 [size =\"49350656\"]\n  19 [size=\"46202880\", alpha=\"0.15\", expect_size=\"18481152\"] \n  19 -> 20 [size =\"18481152\"]\n  20 [size=\"13826560\", alpha=\"0.18\", expect_size=\"5530624\"] \n  20 -> 21 [size =\"5530624\"]\n  21 [size=\"53017600\", alpha=\"0.13\", expect_size=\"21207040\"] \n  21 -> 22 [size =\"21207040\"]\n  22 [size=\"31331840\", alpha=\"0.20\", expect_size=\"12532736\"] \n  22 -> 23 [size =\"12532736\"]\n  23 [size=\"86205440\", alpha=\"0.09\", expect_size=\"34482176\"] \n  23 -> 24 [size =\"34482176\"]\n  24 [size=\"57500160\", alpha=\"0.02\", expect_size=\"23000064\"] \n  24 -> 25 [size =\"23000064\"]\n  25 [size=\"112675840\", alpha=\"0.09\", expect_size=\"45070336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22871040\", alpha=\"0.10\", expect_size=\"9148416\"] \n  1 -> 10 [size =\"9148416\"]\n  1 -> 11 [size =\"9148416\"]\n  1 -> 12 [size =\"9148416\"]\n  1 -> 17 [size =\"9148416\"]\n  2 [size=\"35343360\", alpha=\"0.19\", expect_size=\"14137344\"] \n  2 -> 15 [size =\"14137344\"]\n  3 [size=\"124405760\", alpha=\"0.03\", expect_size=\"49762304\"] \n  3 -> 11 [size =\"49762304\"]\n  3 -> 15 [size =\"49762304\"]\n  4 [size=\"65996800\", alpha=\"0.08\", expect_size=\"26398720\"] \n  4 -> 13 [size =\"26398720\"]\n  4 -> 14 [size =\"26398720\"]\n  5 [size=\"69908480\", alpha=\"0.14\", expect_size=\"27963392\"] \n  5 -> 11 [size =\"27963392\"]\n  5 -> 13 [size =\"27963392\"]\n  5 -> 14 [size =\"27963392\"]\n  6 [size=\"61698560\", alpha=\"0.08\", expect_size=\"24679424\"] \n  6 -> 10 [size =\"24679424\"]\n  6 -> 11 [size =\"24679424\"]\n  6 -> 12 [size =\"24679424\"]\n  6 -> 13 [size =\"24679424\"]\n  6 -> 16 [size =\"24679424\"]\n  7 [size=\"55633920\", alpha=\"0.11\", expect_size=\"22253568\"] \n  7 -> 10 [size =\"22253568\"]\n  7 -> 12 [size =\"22253568\"]\n  7 -> 15 [size =\"22253568\"]\n  8 [size=\"29483520\", alpha=\"0.12\", expect_size=\"11793408\"] \n  8 -> 10 [size =\"11793408\"]\n  8 -> 13 [size =\"11793408\"]\n  8 -> 15 [size =\"11793408\"]\n  8 -> 16 [size =\"11793408\"]\n  9 [size=\"83315200\", alpha=\"0.18\", expect_size=\"33326080\"] \n  9 -> 12 [size =\"33326080\"]\n  9 -> 13 [size =\"33326080\"]\n  9 -> 15 [size =\"33326080\"]\n  9 -> 16 [size =\"33326080\"]\n  9 -> 17 [size =\"33326080\"]\n  10 [size=\"74874880\", alpha=\"0.02\", expect_size=\"29949952\"] \n  10 -> 18 [size =\"29949952\"]\n  10 -> 19 [size =\"29949952\"]\n  10 -> 20 [size =\"29949952\"]\n  10 -> 22 [size =\"29949952\"]\n  10 -> 25 [size =\"29949952\"]\n  11 [size=\"96565760\", alpha=\"0.01\", expect_size=\"38626304\"] \n  11 -> 22 [size =\"38626304\"]\n  11 -> 25 [size =\"38626304\"]\n  12 [size=\"38282240\", alpha=\"0.18\", expect_size=\"15312896\"] \n  12 -> 21 [size =\"15312896\"]\n  12 -> 22 [size =\"15312896\"]\n  12 -> 25 [size =\"15312896\"]\n  13 [size=\"29911040\", alpha=\"0.13\", expect_size=\"11964416\"] \n  13 -> 21 [size =\"11964416\"]\n  13 -> 24 [size =\"11964416\"]\n  13 -> 25 [size =\"11964416\"]\n  14 [size=\"47257600\", alpha=\"0.06\", expect_size=\"18903040\"] \n  14 -> 20 [size =\"18903040\"]\n  14 -> 21 [size =\"18903040\"]\n  14 -> 22 [size =\"18903040\"]\n  15 [size=\"92894720\", alpha=\"0.05\", expect_size=\"37157888\"] \n  15 -> 20 [size =\"37157888\"]\n  15 -> 21 [size =\"37157888\"]\n  16 [size=\"55395840\", alpha=\"0.12\", expect_size=\"22158336\"] \n  16 -> 18 [size =\"22158336\"]\n  16 -> 21 [size =\"22158336\"]\n  16 -> 23 [size =\"22158336\"]\n  17 [size=\"100761600\", alpha=\"0.07\", expect_size=\"40304640\"] \n  17 -> 18 [size =\"40304640\"]\n  17 -> 22 [size =\"40304640\"]\n  17 -> 23 [size =\"40304640\"]\n  17 -> 24 [size =\"40304640\"]\n  18 [size=\"50501120\", alpha=\"0.20\", expect_size=\"20200448\"] \n  19 [size=\"122734080\", alpha=\"0.11\", expect_size=\"49093632\"] \n  20 [size=\"113751040\", alpha=\"0.14\", expect_size=\"45500416\"] \n  21 [size=\"124508160\", alpha=\"0.19\", expect_size=\"49803264\"] \n  22 [size=\"13496320\", alpha=\"0.07\", expect_size=\"5398528\"] \n  23 [size=\"120985600\", alpha=\"0.15\", expect_size=\"48394240\"] \n  24 [size=\"78466560\", alpha=\"0.11\", expect_size=\"31386624\"] \n  25 [size=\"113610240\", alpha=\"0.17\", expect_size=\"45444096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121574400\", alpha=\"0.11\", expect_size=\"48629760\"] \n  1 -> 4 [size =\"48629760\"]\n  1 -> 5 [size =\"48629760\"]\n  1 -> 6 [size =\"48629760\"]\n  1 -> 8 [size =\"48629760\"]\n  2 [size=\"86661120\", alpha=\"0.10\", expect_size=\"34664448\"] \n  2 -> 5 [size =\"34664448\"]\n  3 [size=\"103191040\", alpha=\"0.18\", expect_size=\"41276416\"] \n  3 -> 7 [size =\"41276416\"]\n  3 -> 8 [size =\"41276416\"]\n  4 [size=\"121139200\", alpha=\"0.14\", expect_size=\"48455680\"] \n  4 -> 9 [size =\"48455680\"]\n  4 -> 11 [size =\"48455680\"]\n  4 -> 13 [size =\"48455680\"]\n  5 [size=\"109376000\", alpha=\"0.01\", expect_size=\"43750400\"] \n  5 -> 9 [size =\"43750400\"]\n  5 -> 11 [size =\"43750400\"]\n  5 -> 13 [size =\"43750400\"]\n  6 [size=\"70883840\", alpha=\"0.17\", expect_size=\"28353536\"] \n  6 -> 9 [size =\"28353536\"]\n  6 -> 10 [size =\"28353536\"]\n  6 -> 12 [size =\"28353536\"]\n  6 -> 13 [size =\"28353536\"]\n  7 [size=\"27537920\", alpha=\"0.01\", expect_size=\"11015168\"] \n  7 -> 10 [size =\"11015168\"]\n  7 -> 11 [size =\"11015168\"]\n  7 -> 12 [size =\"11015168\"]\n  7 -> 13 [size =\"11015168\"]\n  8 [size=\"73789440\", alpha=\"0.11\", expect_size=\"29515776\"] \n  8 -> 9 [size =\"29515776\"]\n  8 -> 10 [size =\"29515776\"]\n  8 -> 11 [size =\"29515776\"]\n  9 [size=\"47119360\", alpha=\"0.11\", expect_size=\"18847744\"] \n  9 -> 14 [size =\"18847744\"]\n  10 [size=\"22830080\", alpha=\"0.18\", expect_size=\"9132032\"] \n  10 -> 15 [size =\"9132032\"]\n  10 -> 16 [size =\"9132032\"]\n  11 [size=\"17303040\", alpha=\"0.07\", expect_size=\"6921216\"] \n  11 -> 15 [size =\"6921216\"]\n  11 -> 17 [size =\"6921216\"]\n  12 [size=\"81751040\", alpha=\"0.02\", expect_size=\"32700416\"] \n  12 -> 16 [size =\"32700416\"]\n  12 -> 17 [size =\"32700416\"]\n  13 [size=\"20175360\", alpha=\"0.18\", expect_size=\"8070144\"] \n  13 -> 16 [size =\"8070144\"]\n  13 -> 17 [size =\"8070144\"]\n  14 [size=\"123776000\", alpha=\"0.14\", expect_size=\"49510400\"] \n  14 -> 18 [size =\"49510400\"]\n  14 -> 20 [size =\"49510400\"]\n  15 [size=\"90744320\", alpha=\"0.18\", expect_size=\"36297728\"] \n  15 -> 18 [size =\"36297728\"]\n  15 -> 19 [size =\"36297728\"]\n  16 [size=\"95470080\", alpha=\"0.11\", expect_size=\"38188032\"] \n  16 -> 19 [size =\"38188032\"]\n  17 [size=\"75256320\", alpha=\"0.03\", expect_size=\"30102528\"] \n  17 -> 20 [size =\"30102528\"]\n  18 [size=\"80739840\", alpha=\"0.19\", expect_size=\"32295936\"] \n  18 -> 21 [size =\"32295936\"]\n  18 -> 22 [size =\"32295936\"]\n  19 [size=\"29864960\", alpha=\"0.01\", expect_size=\"11945984\"] \n  19 -> 21 [size =\"11945984\"]\n  19 -> 23 [size =\"11945984\"]\n  19 -> 24 [size =\"11945984\"]\n  19 -> 25 [size =\"11945984\"]\n  20 [size=\"96578560\", alpha=\"0.17\", expect_size=\"38631424\"] \n  20 -> 21 [size =\"38631424\"]\n  20 -> 24 [size =\"38631424\"]\n  20 -> 25 [size =\"38631424\"]\n  21 [size=\"85427200\", alpha=\"0.12\", expect_size=\"34170880\"] \n  22 [size=\"127070720\", alpha=\"0.19\", expect_size=\"50828288\"] \n  23 [size=\"21721600\", alpha=\"0.02\", expect_size=\"8688640\"] \n  24 [size=\"125201920\", alpha=\"0.03\", expect_size=\"50080768\"] \n  25 [size=\"87792640\", alpha=\"0.20\", expect_size=\"35117056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94679040\", alpha=\"0.14\", expect_size=\"37871616\"] \n  1 -> 3 [size =\"37871616\"]\n  2 [size=\"23165440\", alpha=\"0.11\", expect_size=\"9266176\"] \n  2 -> 3 [size =\"9266176\"]\n  3 [size=\"79910400\", alpha=\"0.09\", expect_size=\"31964160\"] \n  3 -> 4 [size =\"31964160\"]\n  3 -> 5 [size =\"31964160\"]\n  4 [size=\"58836480\", alpha=\"0.04\", expect_size=\"23534592\"] \n  4 -> 6 [size =\"23534592\"]\n  5 [size=\"72051200\", alpha=\"0.10\", expect_size=\"28820480\"] \n  5 -> 6 [size =\"28820480\"]\n  6 [size=\"59788800\", alpha=\"0.04\", expect_size=\"23915520\"] \n  6 -> 7 [size =\"23915520\"]\n  6 -> 8 [size =\"23915520\"]\n  7 [size=\"105914880\", alpha=\"0.15\", expect_size=\"42365952\"] \n  8 [size=\"123975680\", alpha=\"0.00\", expect_size=\"49590272\"] \n  8 -> 9 [size =\"49590272\"]\n  9 [size=\"41059840\", alpha=\"0.08\", expect_size=\"16423936\"] \n  9 -> 10 [size =\"16423936\"]\n  10 [size=\"24097280\", alpha=\"0.01\", expect_size=\"9638912\"] \n  10 -> 11 [size =\"9638912\"]\n  10 -> 12 [size =\"9638912\"]\n  11 [size=\"111705600\", alpha=\"0.02\", expect_size=\"44682240\"] \n  11 -> 13 [size =\"44682240\"]\n  12 [size=\"73743360\", alpha=\"0.03\", expect_size=\"29497344\"] \n  12 -> 13 [size =\"29497344\"]\n  13 [size=\"22248960\", alpha=\"0.04\", expect_size=\"8899584\"] \n  13 -> 14 [size =\"8899584\"]\n  14 [size=\"76224000\", alpha=\"0.03\", expect_size=\"30489600\"] \n  14 -> 15 [size =\"30489600\"]\n  15 [size=\"98250240\", alpha=\"0.13\", expect_size=\"39300096\"] \n  15 -> 16 [size =\"39300096\"]\n  16 [size=\"40225280\", alpha=\"0.10\", expect_size=\"16090112\"] \n  16 -> 17 [size =\"16090112\"]\n  16 -> 18 [size =\"16090112\"]\n  17 [size=\"65489920\", alpha=\"0.09\", expect_size=\"26195968\"] \n  17 -> 19 [size =\"26195968\"]\n  18 [size=\"35911680\", alpha=\"0.14\", expect_size=\"14364672\"] \n  18 -> 19 [size =\"14364672\"]\n  19 [size=\"38151680\", alpha=\"0.11\", expect_size=\"15260672\"] \n  19 -> 20 [size =\"15260672\"]\n  19 -> 21 [size =\"15260672\"]\n  20 [size=\"84011520\", alpha=\"0.14\", expect_size=\"33604608\"] \n  21 [size=\"90199040\", alpha=\"0.10\", expect_size=\"36079616\"] \n  21 -> 22 [size =\"36079616\"]\n  22 [size=\"100613120\", alpha=\"0.09\", expect_size=\"40245248\"] \n  22 -> 23 [size =\"40245248\"]\n  22 -> 24 [size =\"40245248\"]\n  23 [size=\"118896640\", alpha=\"0.18\", expect_size=\"47558656\"] \n  23 -> 25 [size =\"47558656\"]\n  24 [size=\"24552960\", alpha=\"0.16\", expect_size=\"9821184\"] \n  25 [size=\"44226560\", alpha=\"0.03\", expect_size=\"17690624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58615808\", alpha=\"0.07\", expect_size=\"29307904\"] \n  1 -> 11 [size =\"29307904\"]\n  1 -> 16 [size =\"29307904\"]\n  1 -> 17 [size =\"29307904\"]\n  2 [size=\"44695552\", alpha=\"0.05\", expect_size=\"22347776\"] \n  2 -> 12 [size =\"22347776\"]\n  2 -> 14 [size =\"22347776\"]\n  2 -> 16 [size =\"22347776\"]\n  2 -> 17 [size =\"22347776\"]\n  3 [size=\"53989376\", alpha=\"0.03\", expect_size=\"26994688\"] \n  3 -> 11 [size =\"26994688\"]\n  3 -> 14 [size =\"26994688\"]\n  3 -> 16 [size =\"26994688\"]\n  3 -> 18 [size =\"26994688\"]\n  4 [size=\"45168640\", alpha=\"0.07\", expect_size=\"22584320\"] \n  4 -> 11 [size =\"22584320\"]\n  4 -> 13 [size =\"22584320\"]\n  5 [size=\"34347008\", alpha=\"0.06\", expect_size=\"17173504\"] \n  5 -> 18 [size =\"17173504\"]\n  5 -> 19 [size =\"17173504\"]\n  6 [size=\"18751488\", alpha=\"0.17\", expect_size=\"9375744\"] \n  6 -> 16 [size =\"9375744\"]\n  6 -> 18 [size =\"9375744\"]\n  7 [size=\"29880320\", alpha=\"0.06\", expect_size=\"14940160\"] \n  7 -> 11 [size =\"14940160\"]\n  7 -> 12 [size =\"14940160\"]\n  7 -> 14 [size =\"14940160\"]\n  7 -> 15 [size =\"14940160\"]\n  8 [size=\"61429760\", alpha=\"0.18\", expect_size=\"30714880\"] \n  8 -> 12 [size =\"30714880\"]\n  8 -> 14 [size =\"30714880\"]\n  8 -> 16 [size =\"30714880\"]\n  9 [size=\"85602304\", alpha=\"0.17\", expect_size=\"42801152\"] \n  9 -> 12 [size =\"42801152\"]\n  9 -> 13 [size =\"42801152\"]\n  9 -> 16 [size =\"42801152\"]\n  9 -> 17 [size =\"42801152\"]\n  9 -> 19 [size =\"42801152\"]\n  10 [size=\"81512448\", alpha=\"0.10\", expect_size=\"40756224\"] \n  10 -> 12 [size =\"40756224\"]\n  10 -> 16 [size =\"40756224\"]\n  10 -> 17 [size =\"40756224\"]\n  10 -> 17 [size =\"40756224\"]\n  10 -> 18 [size =\"40756224\"]\n  10 -> 19 [size =\"40756224\"]\n  11 [size=\"34846720\", alpha=\"0.01\", expect_size=\"17423360\"] \n  11 -> 21 [size =\"17423360\"]\n  11 -> 22 [size =\"17423360\"]\n  11 -> 23 [size =\"17423360\"]\n  11 -> 24 [size =\"17423360\"]\n  11 -> 25 [size =\"17423360\"]\n  12 [size=\"66713600\", alpha=\"0.04\", expect_size=\"33356800\"] \n  12 -> 21 [size =\"33356800\"]\n  12 -> 23 [size =\"33356800\"]\n  12 -> 24 [size =\"33356800\"]\n  12 -> 25 [size =\"33356800\"]\n  12 -> 25 [size =\"33356800\"]\n  13 [size=\"92192768\", alpha=\"0.10\", expect_size=\"46096384\"] \n  13 -> 21 [size =\"46096384\"]\n  13 -> 25 [size =\"46096384\"]\n  14 [size=\"104263680\", alpha=\"0.19\", expect_size=\"52131840\"] \n  14 -> 20 [size =\"52131840\"]\n  14 -> 21 [size =\"52131840\"]\n  14 -> 23 [size =\"52131840\"]\n  14 -> 25 [size =\"52131840\"]\n  15 [size=\"42704896\", alpha=\"0.20\", expect_size=\"21352448\"] \n  15 -> 20 [size =\"21352448\"]\n  15 -> 21 [size =\"21352448\"]\n  15 -> 24 [size =\"21352448\"]\n  16 [size=\"69220352\", alpha=\"0.07\", expect_size=\"34610176\"] \n  16 -> 20 [size =\"34610176\"]\n  16 -> 21 [size =\"34610176\"]\n  16 -> 23 [size =\"34610176\"]\n  16 -> 24 [size =\"34610176\"]\n  17 [size=\"53594112\", alpha=\"0.07\", expect_size=\"26797056\"] \n  17 -> 25 [size =\"26797056\"]\n  18 [size=\"83720192\", alpha=\"0.17\", expect_size=\"41860096\"] \n  18 -> 21 [size =\"41860096\"]\n  19 [size=\"73615360\", alpha=\"0.11\", expect_size=\"36807680\"] \n  19 -> 22 [size =\"36807680\"]\n  19 -> 24 [size =\"36807680\"]\n  19 -> 25 [size =\"36807680\"]\n  20 [size=\"57853952\", alpha=\"0.18\", expect_size=\"28926976\"] \n  21 [size=\"103499776\", alpha=\"0.16\", expect_size=\"51749888\"] \n  22 [size=\"14929920\", alpha=\"0.02\", expect_size=\"7464960\"] \n  23 [size=\"32952320\", alpha=\"0.16\", expect_size=\"16476160\"] \n  24 [size=\"78696448\", alpha=\"0.18\", expect_size=\"39348224\"] \n  25 [size=\"75309056\", alpha=\"0.05\", expect_size=\"37654528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67631104\", alpha=\"0.19\", expect_size=\"33815552\"] \n  1 -> 17 [size =\"33815552\"]\n  1 -> 19 [size =\"33815552\"]\n  1 -> 19 [size =\"33815552\"]\n  1 -> 20 [size =\"33815552\"]\n  1 -> 21 [size =\"33815552\"]\n  1 -> 22 [size =\"33815552\"]\n  1 -> 24 [size =\"33815552\"]\n  2 [size=\"83423232\", alpha=\"0.14\", expect_size=\"41711616\"] \n  2 -> 17 [size =\"41711616\"]\n  2 -> 19 [size =\"41711616\"]\n  2 -> 20 [size =\"41711616\"]\n  2 -> 20 [size =\"41711616\"]\n  2 -> 23 [size =\"41711616\"]\n  2 -> 24 [size =\"41711616\"]\n  3 [size=\"92891136\", alpha=\"0.06\", expect_size=\"46445568\"] \n  3 -> 17 [size =\"46445568\"]\n  3 -> 19 [size =\"46445568\"]\n  3 -> 22 [size =\"46445568\"]\n  3 -> 23 [size =\"46445568\"]\n  4 [size=\"99411968\", alpha=\"0.01\", expect_size=\"49705984\"] \n  4 -> 17 [size =\"49705984\"]\n  4 -> 18 [size =\"49705984\"]\n  4 -> 20 [size =\"49705984\"]\n  4 -> 22 [size =\"49705984\"]\n  4 -> 24 [size =\"49705984\"]\n  5 [size=\"87830528\", alpha=\"0.18\", expect_size=\"43915264\"] \n  5 -> 17 [size =\"43915264\"]\n  5 -> 18 [size =\"43915264\"]\n  5 -> 20 [size =\"43915264\"]\n  5 -> 21 [size =\"43915264\"]\n  5 -> 22 [size =\"43915264\"]\n  6 [size=\"38410240\", alpha=\"0.04\", expect_size=\"19205120\"] \n  6 -> 17 [size =\"19205120\"]\n  6 -> 20 [size =\"19205120\"]\n  6 -> 20 [size =\"19205120\"]\n  6 -> 22 [size =\"19205120\"]\n  7 [size=\"54163456\", alpha=\"0.17\", expect_size=\"27081728\"] \n  7 -> 17 [size =\"27081728\"]\n  7 -> 21 [size =\"27081728\"]\n  7 -> 23 [size =\"27081728\"]\n  8 [size=\"14448640\", alpha=\"0.19\", expect_size=\"7224320\"] \n  8 -> 17 [size =\"7224320\"]\n  8 -> 20 [size =\"7224320\"]\n  8 -> 22 [size =\"7224320\"]\n  8 -> 23 [size =\"7224320\"]\n  8 -> 24 [size =\"7224320\"]\n  9 [size=\"84967424\", alpha=\"0.07\", expect_size=\"42483712\"] \n  9 -> 19 [size =\"42483712\"]\n  9 -> 20 [size =\"42483712\"]\n  9 -> 22 [size =\"42483712\"]\n  9 -> 23 [size =\"42483712\"]\n  9 -> 24 [size =\"42483712\"]\n  10 [size=\"98537472\", alpha=\"0.15\", expect_size=\"49268736\"] \n  10 -> 17 [size =\"49268736\"]\n  10 -> 20 [size =\"49268736\"]\n  10 -> 22 [size =\"49268736\"]\n  10 -> 23 [size =\"49268736\"]\n  11 [size=\"48680960\", alpha=\"0.08\", expect_size=\"24340480\"] \n  11 -> 17 [size =\"24340480\"]\n  11 -> 18 [size =\"24340480\"]\n  11 -> 21 [size =\"24340480\"]\n  11 -> 22 [size =\"24340480\"]\n  11 -> 23 [size =\"24340480\"]\n  11 -> 24 [size =\"24340480\"]\n  12 [size=\"43003904\", alpha=\"0.20\", expect_size=\"21501952\"] \n  12 -> 20 [size =\"21501952\"]\n  12 -> 22 [size =\"21501952\"]\n  12 -> 24 [size =\"21501952\"]\n  13 [size=\"15876096\", alpha=\"0.02\", expect_size=\"7938048\"] \n  13 -> 17 [size =\"7938048\"]\n  13 -> 19 [size =\"7938048\"]\n  13 -> 20 [size =\"7938048\"]\n  13 -> 21 [size =\"7938048\"]\n  13 -> 22 [size =\"7938048\"]\n  14 [size=\"44613632\", alpha=\"0.06\", expect_size=\"22306816\"] \n  14 -> 17 [size =\"22306816\"]\n  14 -> 19 [size =\"22306816\"]\n  14 -> 20 [size =\"22306816\"]\n  14 -> 22 [size =\"22306816\"]\n  15 [size=\"51544064\", alpha=\"0.19\", expect_size=\"25772032\"] \n  15 -> 17 [size =\"25772032\"]\n  15 -> 18 [size =\"25772032\"]\n  15 -> 19 [size =\"25772032\"]\n  15 -> 20 [size =\"25772032\"]\n  15 -> 24 [size =\"25772032\"]\n  16 [size=\"40808448\", alpha=\"0.18\", expect_size=\"20404224\"] \n  16 -> 17 [size =\"20404224\"]\n  16 -> 18 [size =\"20404224\"]\n  16 -> 19 [size =\"20404224\"]\n  16 -> 20 [size =\"20404224\"]\n  16 -> 22 [size =\"20404224\"]\n  16 -> 25 [size =\"20404224\"]\n  17 [size=\"57694208\", alpha=\"0.14\", expect_size=\"28847104\"] \n  18 [size=\"45735936\", alpha=\"0.04\", expect_size=\"22867968\"] \n  19 [size=\"41713664\", alpha=\"0.07\", expect_size=\"20856832\"] \n  20 [size=\"72957952\", alpha=\"0.16\", expect_size=\"36478976\"] \n  21 [size=\"51189760\", alpha=\"0.18\", expect_size=\"25594880\"] \n  22 [size=\"90390528\", alpha=\"0.15\", expect_size=\"45195264\"] \n  23 [size=\"89911296\", alpha=\"0.09\", expect_size=\"44955648\"] \n  24 [size=\"101163008\", alpha=\"0.02\", expect_size=\"50581504\"] \n  25 [size=\"33413120\", alpha=\"0.11\", expect_size=\"16706560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30679040\", alpha=\"0.06\", expect_size=\"15339520\"] \n  1 -> 24 [size =\"15339520\"]\n  2 [size=\"31092736\", alpha=\"0.06\", expect_size=\"15546368\"] \n  2 -> 21 [size =\"15546368\"]\n  2 -> 23 [size =\"15546368\"]\n  2 -> 24 [size =\"15546368\"]\n  3 [size=\"56616960\", alpha=\"0.07\", expect_size=\"28308480\"] \n  3 -> 23 [size =\"28308480\"]\n  4 [size=\"36124672\", alpha=\"0.14\", expect_size=\"18062336\"] \n  4 -> 21 [size =\"18062336\"]\n  4 -> 22 [size =\"18062336\"]\n  4 -> 23 [size =\"18062336\"]\n  5 [size=\"39690240\", alpha=\"0.05\", expect_size=\"19845120\"] \n  5 -> 21 [size =\"19845120\"]\n  6 [size=\"89032704\", alpha=\"0.10\", expect_size=\"44516352\"] \n  6 -> 21 [size =\"44516352\"]\n  6 -> 22 [size =\"44516352\"]\n  7 [size=\"21512192\", alpha=\"0.16\", expect_size=\"10756096\"] \n  7 -> 23 [size =\"10756096\"]\n  8 [size=\"38330368\", alpha=\"0.08\", expect_size=\"19165184\"] \n  8 -> 21 [size =\"19165184\"]\n  8 -> 22 [size =\"19165184\"]\n  9 [size=\"31371264\", alpha=\"0.10\", expect_size=\"15685632\"] \n  9 -> 22 [size =\"15685632\"]\n  9 -> 24 [size =\"15685632\"]\n  10 [size=\"64761856\", alpha=\"0.04\", expect_size=\"32380928\"] \n  10 -> 22 [size =\"32380928\"]\n  10 -> 23 [size =\"32380928\"]\n  11 [size=\"93067264\", alpha=\"0.09\", expect_size=\"46533632\"] \n  11 -> 24 [size =\"46533632\"]\n  12 [size=\"27965440\", alpha=\"0.15\", expect_size=\"13982720\"] \n  12 -> 21 [size =\"13982720\"]\n  13 [size=\"56752128\", alpha=\"0.11\", expect_size=\"28376064\"] \n  13 -> 21 [size =\"28376064\"]\n  13 -> 23 [size =\"28376064\"]\n  13 -> 24 [size =\"28376064\"]\n  14 [size=\"87527424\", alpha=\"0.01\", expect_size=\"43763712\"] \n  14 -> 21 [size =\"43763712\"]\n  14 -> 22 [size =\"43763712\"]\n  14 -> 23 [size =\"43763712\"]\n  14 -> 24 [size =\"43763712\"]\n  14 -> 25 [size =\"43763712\"]\n  15 [size=\"57313280\", alpha=\"0.02\", expect_size=\"28656640\"] \n  15 -> 22 [size =\"28656640\"]\n  16 [size=\"81149952\", alpha=\"0.09\", expect_size=\"40574976\"] \n  16 -> 21 [size =\"40574976\"]\n  16 -> 22 [size =\"40574976\"]\n  16 -> 24 [size =\"40574976\"]\n  17 [size=\"34531328\", alpha=\"0.18\", expect_size=\"17265664\"] \n  17 -> 22 [size =\"17265664\"]\n  17 -> 24 [size =\"17265664\"]\n  18 [size=\"14020608\", alpha=\"0.17\", expect_size=\"7010304\"] \n  18 -> 24 [size =\"7010304\"]\n  19 [size=\"53671936\", alpha=\"0.08\", expect_size=\"26835968\"] \n  19 -> 22 [size =\"26835968\"]\n  20 [size=\"102825984\", alpha=\"0.02\", expect_size=\"51412992\"] \n  20 -> 23 [size =\"51412992\"]\n  21 [size=\"25106432\", alpha=\"0.01\", expect_size=\"12553216\"] \n  22 [size=\"68857856\", alpha=\"0.03\", expect_size=\"34428928\"] \n  23 [size=\"46809088\", alpha=\"0.16\", expect_size=\"23404544\"] \n  24 [size=\"99811328\", alpha=\"0.14\", expect_size=\"49905664\"] \n  25 [size=\"102578176\", alpha=\"0.18\", expect_size=\"51289088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117025280\", alpha=\"0.09\", expect_size=\"46810112\"] \n  1 -> 2 [size =\"46810112\"]\n  2 [size=\"96678400\", alpha=\"0.19\", expect_size=\"38671360\"] \n  2 -> 3 [size =\"38671360\"]\n  3 [size=\"22694400\", alpha=\"0.15\", expect_size=\"9077760\"] \n  3 -> 4 [size =\"9077760\"]\n  4 [size=\"14187520\", alpha=\"0.18\", expect_size=\"5675008\"] \n  4 -> 5 [size =\"5675008\"]\n  5 [size=\"76175360\", alpha=\"0.10\", expect_size=\"30470144\"] \n  5 -> 6 [size =\"30470144\"]\n  6 [size=\"72102400\", alpha=\"0.02\", expect_size=\"28840960\"] \n  6 -> 7 [size =\"28840960\"]\n  7 [size=\"104115200\", alpha=\"0.18\", expect_size=\"41646080\"] \n  7 -> 8 [size =\"41646080\"]\n  8 [size=\"104847360\", alpha=\"0.06\", expect_size=\"41938944\"] \n  8 -> 9 [size =\"41938944\"]\n  9 [size=\"15452160\", alpha=\"0.01\", expect_size=\"6180864\"] \n  9 -> 10 [size =\"6180864\"]\n  10 [size=\"18496000\", alpha=\"0.02\", expect_size=\"7398400\"] \n  10 -> 11 [size =\"7398400\"]\n  11 [size=\"67077120\", alpha=\"0.15\", expect_size=\"26830848\"] \n  11 -> 12 [size =\"26830848\"]\n  12 [size=\"121666560\", alpha=\"0.19\", expect_size=\"48666624\"] \n  12 -> 13 [size =\"48666624\"]\n  13 [size=\"114790400\", alpha=\"0.05\", expect_size=\"45916160\"] \n  13 -> 14 [size =\"45916160\"]\n  14 [size=\"86702080\", alpha=\"0.06\", expect_size=\"34680832\"] \n  14 -> 15 [size =\"34680832\"]\n  15 [size=\"77621760\", alpha=\"0.04\", expect_size=\"31048704\"] \n  15 -> 16 [size =\"31048704\"]\n  16 [size=\"21486080\", alpha=\"0.09\", expect_size=\"8594432\"] \n  16 -> 17 [size =\"8594432\"]\n  17 [size=\"35786240\", alpha=\"0.10\", expect_size=\"14314496\"] \n  17 -> 18 [size =\"14314496\"]\n  18 [size=\"25853440\", alpha=\"0.13\", expect_size=\"10341376\"] \n  18 -> 19 [size =\"10341376\"]\n  19 [size=\"58754560\", alpha=\"0.03\", expect_size=\"23501824\"] \n  19 -> 20 [size =\"23501824\"]\n  20 [size=\"63838720\", alpha=\"0.06\", expect_size=\"25535488\"] \n  20 -> 21 [size =\"25535488\"]\n  21 [size=\"73689600\", alpha=\"0.07\", expect_size=\"29475840\"] \n  21 -> 22 [size =\"29475840\"]\n  22 [size=\"41600000\", alpha=\"0.03\", expect_size=\"16640000\"] \n  22 -> 23 [size =\"16640000\"]\n  23 [size=\"33930240\", alpha=\"0.20\", expect_size=\"13572096\"] \n  23 -> 24 [size =\"13572096\"]\n  24 [size=\"65633280\", alpha=\"0.17\", expect_size=\"26253312\"] \n  24 -> 25 [size =\"26253312\"]\n  25 [size=\"98836480\", alpha=\"0.05\", expect_size=\"39534592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53872640\", alpha=\"0.17\", expect_size=\"21549056\"] \n  1 -> 2 [size =\"21549056\"]\n  2 [size=\"119329280\", alpha=\"0.14\", expect_size=\"47731712\"] \n  2 -> 3 [size =\"47731712\"]\n  3 [size=\"71024640\", alpha=\"0.02\", expect_size=\"28409856\"] \n  3 -> 4 [size =\"28409856\"]\n  4 [size=\"79175680\", alpha=\"0.04\", expect_size=\"31670272\"] \n  4 -> 5 [size =\"31670272\"]\n  5 [size=\"108497920\", alpha=\"0.18\", expect_size=\"43399168\"] \n  5 -> 6 [size =\"43399168\"]\n  6 [size=\"65543680\", alpha=\"0.07\", expect_size=\"26217472\"] \n  6 -> 7 [size =\"26217472\"]\n  7 [size=\"74406400\", alpha=\"0.02\", expect_size=\"29762560\"] \n  7 -> 8 [size =\"29762560\"]\n  8 [size=\"124733440\", alpha=\"0.10\", expect_size=\"49893376\"] \n  8 -> 9 [size =\"49893376\"]\n  9 [size=\"22087680\", alpha=\"0.08\", expect_size=\"8835072\"] \n  9 -> 10 [size =\"8835072\"]\n  10 [size=\"97067520\", alpha=\"0.04\", expect_size=\"38827008\"] \n  10 -> 11 [size =\"38827008\"]\n  11 [size=\"82022400\", alpha=\"0.15\", expect_size=\"32808960\"] \n  11 -> 12 [size =\"32808960\"]\n  12 [size=\"64949760\", alpha=\"0.02\", expect_size=\"25979904\"] \n  12 -> 13 [size =\"25979904\"]\n  13 [size=\"26657280\", alpha=\"0.18\", expect_size=\"10662912\"] \n  13 -> 14 [size =\"10662912\"]\n  14 [size=\"38568960\", alpha=\"0.05\", expect_size=\"15427584\"] \n  14 -> 15 [size =\"15427584\"]\n  15 [size=\"62627840\", alpha=\"0.12\", expect_size=\"25051136\"] \n  15 -> 16 [size =\"25051136\"]\n  16 [size=\"52769280\", alpha=\"0.06\", expect_size=\"21107712\"] \n  16 -> 17 [size =\"21107712\"]\n  17 [size=\"92625920\", alpha=\"0.07\", expect_size=\"37050368\"] \n  17 -> 18 [size =\"37050368\"]\n  18 [size=\"106373120\", alpha=\"0.19\", expect_size=\"42549248\"] \n  18 -> 19 [size =\"42549248\"]\n  19 [size=\"48506880\", alpha=\"0.13\", expect_size=\"19402752\"] \n  19 -> 20 [size =\"19402752\"]\n  20 [size=\"98078720\", alpha=\"0.10\", expect_size=\"39231488\"] \n  20 -> 21 [size =\"39231488\"]\n  21 [size=\"122304000\", alpha=\"0.14\", expect_size=\"48921600\"] \n  21 -> 22 [size =\"48921600\"]\n  22 [size=\"95498240\", alpha=\"0.15\", expect_size=\"38199296\"] \n  22 -> 23 [size =\"38199296\"]\n  23 [size=\"108710400\", alpha=\"0.07\", expect_size=\"43484160\"] \n  23 -> 24 [size =\"43484160\"]\n  24 [size=\"97564160\", alpha=\"0.09\", expect_size=\"39025664\"] \n  24 -> 25 [size =\"39025664\"]\n  25 [size=\"126794240\", alpha=\"0.08\", expect_size=\"50717696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64808960\", alpha=\"0.16\", expect_size=\"32404480\"] \n  1 -> 4 [size =\"32404480\"]\n  1 -> 7 [size =\"32404480\"]\n  2 [size=\"93863936\", alpha=\"0.17\", expect_size=\"46931968\"] \n  2 -> 5 [size =\"46931968\"]\n  2 -> 6 [size =\"46931968\"]\n  3 [size=\"104030208\", alpha=\"0.17\", expect_size=\"52015104\"] \n  4 [size=\"90056704\", alpha=\"0.00\", expect_size=\"45028352\"] \n  5 [size=\"55615488\", alpha=\"0.15\", expect_size=\"27807744\"] \n  5 -> 9 [size =\"27807744\"]\n  5 -> 10 [size =\"27807744\"]\n  6 [size=\"57759744\", alpha=\"0.07\", expect_size=\"28879872\"] \n  6 -> 8 [size =\"28879872\"]\n  6 -> 10 [size =\"28879872\"]\n  7 [size=\"38567936\", alpha=\"0.15\", expect_size=\"19283968\"] \n  7 -> 8 [size =\"19283968\"]\n  7 -> 10 [size =\"19283968\"]\n  8 [size=\"65001472\", alpha=\"0.08\", expect_size=\"32500736\"] \n  8 -> 14 [size =\"32500736\"]\n  9 [size=\"93857792\", alpha=\"0.09\", expect_size=\"46928896\"] \n  9 -> 11 [size =\"46928896\"]\n  9 -> 12 [size =\"46928896\"]\n  9 -> 14 [size =\"46928896\"]\n  10 [size=\"66254848\", alpha=\"0.09\", expect_size=\"33127424\"] \n  10 -> 13 [size =\"33127424\"]\n  11 [size=\"63277056\", alpha=\"0.16\", expect_size=\"31638528\"] \n  11 -> 18 [size =\"31638528\"]\n  12 [size=\"44652544\", alpha=\"0.11\", expect_size=\"22326272\"] \n  12 -> 15 [size =\"22326272\"]\n  12 -> 16 [size =\"22326272\"]\n  12 -> 18 [size =\"22326272\"]\n  13 [size=\"32821248\", alpha=\"0.16\", expect_size=\"16410624\"] \n  13 -> 15 [size =\"16410624\"]\n  13 -> 17 [size =\"16410624\"]\n  14 [size=\"17928192\", alpha=\"0.04\", expect_size=\"8964096\"] \n  14 -> 17 [size =\"8964096\"]\n  15 [size=\"19056640\", alpha=\"0.05\", expect_size=\"9528320\"] \n  15 -> 20 [size =\"9528320\"]\n  15 -> 21 [size =\"9528320\"]\n  16 [size=\"88784896\", alpha=\"0.06\", expect_size=\"44392448\"] \n  16 -> 19 [size =\"44392448\"]\n  16 -> 21 [size =\"44392448\"]\n  17 [size=\"25126912\", alpha=\"0.15\", expect_size=\"12563456\"] \n  17 -> 19 [size =\"12563456\"]\n  17 -> 20 [size =\"12563456\"]\n  17 -> 21 [size =\"12563456\"]\n  18 [size=\"94851072\", alpha=\"0.14\", expect_size=\"47425536\"] \n  18 -> 20 [size =\"47425536\"]\n  19 [size=\"38080512\", alpha=\"0.09\", expect_size=\"19040256\"] \n  19 -> 24 [size =\"19040256\"]\n  20 [size=\"78413824\", alpha=\"0.02\", expect_size=\"39206912\"] \n  20 -> 22 [size =\"39206912\"]\n  20 -> 23 [size =\"39206912\"]\n  21 [size=\"28368896\", alpha=\"0.07\", expect_size=\"14184448\"] \n  21 -> 22 [size =\"14184448\"]\n  21 -> 23 [size =\"14184448\"]\n  21 -> 24 [size =\"14184448\"]\n  21 -> 25 [size =\"14184448\"]\n  22 [size=\"102961152\", alpha=\"0.09\", expect_size=\"51480576\"] \n  23 [size=\"58826752\", alpha=\"0.11\", expect_size=\"29413376\"] \n  24 [size=\"39034880\", alpha=\"0.10\", expect_size=\"19517440\"] \n  25 [size=\"58574848\", alpha=\"0.18\", expect_size=\"29287424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98101248\", alpha=\"0.08\", expect_size=\"49050624\"] \n  1 -> 6 [size =\"49050624\"]\n  2 [size=\"63498240\", alpha=\"0.02\", expect_size=\"31749120\"] \n  3 [size=\"32784384\", alpha=\"0.04\", expect_size=\"16392192\"] \n  3 -> 7 [size =\"16392192\"]\n  4 [size=\"99141632\", alpha=\"0.16\", expect_size=\"49570816\"] \n  4 -> 5 [size =\"49570816\"]\n  4 -> 6 [size =\"49570816\"]\n  5 [size=\"28180480\", alpha=\"0.18\", expect_size=\"14090240\"] \n  5 -> 8 [size =\"14090240\"]\n  5 -> 10 [size =\"14090240\"]\n  6 [size=\"34494464\", alpha=\"0.15\", expect_size=\"17247232\"] \n  6 -> 9 [size =\"17247232\"]\n  7 [size=\"94308352\", alpha=\"0.05\", expect_size=\"47154176\"] \n  7 -> 10 [size =\"47154176\"]\n  7 -> 11 [size =\"47154176\"]\n  8 [size=\"17352704\", alpha=\"0.15\", expect_size=\"8676352\"] \n  8 -> 12 [size =\"8676352\"]\n  8 -> 13 [size =\"8676352\"]\n  8 -> 14 [size =\"8676352\"]\n  9 [size=\"27015168\", alpha=\"0.02\", expect_size=\"13507584\"] \n  9 -> 12 [size =\"13507584\"]\n  9 -> 13 [size =\"13507584\"]\n  10 [size=\"53430272\", alpha=\"0.16\", expect_size=\"26715136\"] \n  10 -> 13 [size =\"26715136\"]\n  11 [size=\"21567488\", alpha=\"0.06\", expect_size=\"10783744\"] \n  11 -> 12 [size =\"10783744\"]\n  11 -> 14 [size =\"10783744\"]\n  12 [size=\"59183104\", alpha=\"0.19\", expect_size=\"29591552\"] \n  12 -> 17 [size =\"29591552\"]\n  13 [size=\"67706880\", alpha=\"0.14\", expect_size=\"33853440\"] \n  14 [size=\"86697984\", alpha=\"0.12\", expect_size=\"43348992\"] \n  14 -> 15 [size =\"43348992\"]\n  14 -> 16 [size =\"43348992\"]\n  14 -> 17 [size =\"43348992\"]\n  15 [size=\"67444736\", alpha=\"0.09\", expect_size=\"33722368\"] \n  16 [size=\"57987072\", alpha=\"0.15\", expect_size=\"28993536\"] \n  16 -> 18 [size =\"28993536\"]\n  16 -> 19 [size =\"28993536\"]\n  17 [size=\"34240512\", alpha=\"0.17\", expect_size=\"17120256\"] \n  17 -> 19 [size =\"17120256\"]\n  17 -> 20 [size =\"17120256\"]\n  18 [size=\"58181632\", alpha=\"0.19\", expect_size=\"29090816\"] \n  18 -> 21 [size =\"29090816\"]\n  18 -> 22 [size =\"29090816\"]\n  19 [size=\"36925440\", alpha=\"0.14\", expect_size=\"18462720\"] \n  19 -> 23 [size =\"18462720\"]\n  19 -> 24 [size =\"18462720\"]\n  20 [size=\"48322560\", alpha=\"0.19\", expect_size=\"24161280\"] \n  20 -> 22 [size =\"24161280\"]\n  21 [size=\"30314496\", alpha=\"0.02\", expect_size=\"15157248\"] \n  22 [size=\"56619008\", alpha=\"0.17\", expect_size=\"28309504\"] \n  23 [size=\"52189184\", alpha=\"0.16\", expect_size=\"26094592\"] \n  23 -> 25 [size =\"26094592\"]\n  24 [size=\"24920064\", alpha=\"0.14\", expect_size=\"12460032\"] \n  24 -> 25 [size =\"12460032\"]\n  25 [size=\"82036736\", alpha=\"0.16\", expect_size=\"41018368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76447744\", alpha=\"0.16\", expect_size=\"38223872\"] \n  1 -> 8 [size =\"38223872\"]\n  1 -> 9 [size =\"38223872\"]\n  1 -> 11 [size =\"38223872\"]\n  1 -> 15 [size =\"38223872\"]\n  2 [size=\"80519168\", alpha=\"0.02\", expect_size=\"40259584\"] \n  2 -> 8 [size =\"40259584\"]\n  3 [size=\"40558592\", alpha=\"0.07\", expect_size=\"20279296\"] \n  3 -> 9 [size =\"20279296\"]\n  4 [size=\"39718912\", alpha=\"0.14\", expect_size=\"19859456\"] \n  4 -> 10 [size =\"19859456\"]\n  4 -> 12 [size =\"19859456\"]\n  5 [size=\"35971072\", alpha=\"0.17\", expect_size=\"17985536\"] \n  5 -> 11 [size =\"17985536\"]\n  5 -> 13 [size =\"17985536\"]\n  5 -> 14 [size =\"17985536\"]\n  6 [size=\"103235584\", alpha=\"0.01\", expect_size=\"51617792\"] \n  6 -> 8 [size =\"51617792\"]\n  6 -> 11 [size =\"51617792\"]\n  7 [size=\"27205632\", alpha=\"0.08\", expect_size=\"13602816\"] \n  7 -> 8 [size =\"13602816\"]\n  8 [size=\"96368640\", alpha=\"0.19\", expect_size=\"48184320\"] \n  8 -> 18 [size =\"48184320\"]\n  8 -> 22 [size =\"48184320\"]\n  8 -> 23 [size =\"48184320\"]\n  9 [size=\"85286912\", alpha=\"0.06\", expect_size=\"42643456\"] \n  9 -> 16 [size =\"42643456\"]\n  9 -> 17 [size =\"42643456\"]\n  9 -> 21 [size =\"42643456\"]\n  9 -> 22 [size =\"42643456\"]\n  9 -> 25 [size =\"42643456\"]\n  10 [size=\"11603968\", alpha=\"0.16\", expect_size=\"5801984\"] \n  10 -> 17 [size =\"5801984\"]\n  10 -> 18 [size =\"5801984\"]\n  10 -> 20 [size =\"5801984\"]\n  10 -> 21 [size =\"5801984\"]\n  10 -> 22 [size =\"5801984\"]\n  10 -> 23 [size =\"5801984\"]\n  10 -> 25 [size =\"5801984\"]\n  11 [size=\"93380608\", alpha=\"0.02\", expect_size=\"46690304\"] \n  11 -> 16 [size =\"46690304\"]\n  11 -> 17 [size =\"46690304\"]\n  11 -> 18 [size =\"46690304\"]\n  11 -> 25 [size =\"46690304\"]\n  12 [size=\"75970560\", alpha=\"0.17\", expect_size=\"37985280\"] \n  12 -> 16 [size =\"37985280\"]\n  12 -> 18 [size =\"37985280\"]\n  12 -> 19 [size =\"37985280\"]\n  12 -> 20 [size =\"37985280\"]\n  12 -> 24 [size =\"37985280\"]\n  12 -> 25 [size =\"37985280\"]\n  13 [size=\"86106112\", alpha=\"0.05\", expect_size=\"43053056\"] \n  13 -> 20 [size =\"43053056\"]\n  13 -> 21 [size =\"43053056\"]\n  14 [size=\"25309184\", alpha=\"0.02\", expect_size=\"12654592\"] \n  14 -> 17 [size =\"12654592\"]\n  14 -> 21 [size =\"12654592\"]\n  14 -> 23 [size =\"12654592\"]\n  15 [size=\"90376192\", alpha=\"0.10\", expect_size=\"45188096\"] \n  15 -> 19 [size =\"45188096\"]\n  15 -> 22 [size =\"45188096\"]\n  16 [size=\"75352064\", alpha=\"0.02\", expect_size=\"37676032\"] \n  17 [size=\"79853568\", alpha=\"0.09\", expect_size=\"39926784\"] \n  18 [size=\"21049344\", alpha=\"0.11\", expect_size=\"10524672\"] \n  19 [size=\"15126528\", alpha=\"0.17\", expect_size=\"7563264\"] \n  20 [size=\"45076480\", alpha=\"0.09\", expect_size=\"22538240\"] \n  21 [size=\"25661440\", alpha=\"0.15\", expect_size=\"12830720\"] \n  22 [size=\"34336768\", alpha=\"0.15\", expect_size=\"17168384\"] \n  23 [size=\"20639744\", alpha=\"0.03\", expect_size=\"10319872\"] \n  24 [size=\"46262272\", alpha=\"0.16\", expect_size=\"23131136\"] \n  25 [size=\"54530048\", alpha=\"0.15\", expect_size=\"27265024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56887296\", alpha=\"0.19\", expect_size=\"28443648\"] \n  1 -> 11 [size =\"28443648\"]\n  1 -> 17 [size =\"28443648\"]\n  1 -> 18 [size =\"28443648\"]\n  2 [size=\"97030144\", alpha=\"0.01\", expect_size=\"48515072\"] \n  2 -> 12 [size =\"48515072\"]\n  2 -> 18 [size =\"48515072\"]\n  2 -> 19 [size =\"48515072\"]\n  2 -> 20 [size =\"48515072\"]\n  3 [size=\"24338432\", alpha=\"0.18\", expect_size=\"12169216\"] \n  3 -> 12 [size =\"12169216\"]\n  3 -> 17 [size =\"12169216\"]\n  3 -> 21 [size =\"12169216\"]\n  4 [size=\"56391680\", alpha=\"0.05\", expect_size=\"28195840\"] \n  4 -> 12 [size =\"28195840\"]\n  4 -> 15 [size =\"28195840\"]\n  4 -> 16 [size =\"28195840\"]\n  4 -> 19 [size =\"28195840\"]\n  4 -> 20 [size =\"28195840\"]\n  5 [size=\"75468800\", alpha=\"0.10\", expect_size=\"37734400\"] \n  5 -> 12 [size =\"37734400\"]\n  5 -> 15 [size =\"37734400\"]\n  6 [size=\"85452800\", alpha=\"0.17\", expect_size=\"42726400\"] \n  6 -> 13 [size =\"42726400\"]\n  6 -> 15 [size =\"42726400\"]\n  6 -> 18 [size =\"42726400\"]\n  7 [size=\"54587392\", alpha=\"0.10\", expect_size=\"27293696\"] \n  7 -> 16 [size =\"27293696\"]\n  7 -> 17 [size =\"27293696\"]\n  7 -> 18 [size =\"27293696\"]\n  7 -> 19 [size =\"27293696\"]\n  8 [size=\"34793472\", alpha=\"0.07\", expect_size=\"17396736\"] \n  8 -> 12 [size =\"17396736\"]\n  8 -> 14 [size =\"17396736\"]\n  8 -> 15 [size =\"17396736\"]\n  8 -> 16 [size =\"17396736\"]\n  8 -> 18 [size =\"17396736\"]\n  8 -> 19 [size =\"17396736\"]\n  9 [size=\"61175808\", alpha=\"0.15\", expect_size=\"30587904\"] \n  9 -> 12 [size =\"30587904\"]\n  9 -> 14 [size =\"30587904\"]\n  9 -> 18 [size =\"30587904\"]\n  9 -> 19 [size =\"30587904\"]\n  9 -> 20 [size =\"30587904\"]\n  10 [size=\"46514176\", alpha=\"0.13\", expect_size=\"23257088\"] \n  10 -> 14 [size =\"23257088\"]\n  10 -> 18 [size =\"23257088\"]\n  10 -> 19 [size =\"23257088\"]\n  11 [size=\"22245376\", alpha=\"0.06\", expect_size=\"11122688\"] \n  11 -> 24 [size =\"11122688\"]\n  11 -> 25 [size =\"11122688\"]\n  12 [size=\"15589376\", alpha=\"0.11\", expect_size=\"7794688\"] \n  12 -> 24 [size =\"7794688\"]\n  13 [size=\"20041728\", alpha=\"0.10\", expect_size=\"10020864\"] \n  13 -> 22 [size =\"10020864\"]\n  13 -> 24 [size =\"10020864\"]\n  14 [size=\"104488960\", alpha=\"0.04\", expect_size=\"52244480\"] \n  14 -> 23 [size =\"52244480\"]\n  14 -> 24 [size =\"52244480\"]\n  14 -> 25 [size =\"52244480\"]\n  15 [size=\"31877120\", alpha=\"0.16\", expect_size=\"15938560\"] \n  15 -> 25 [size =\"15938560\"]\n  16 [size=\"77285376\", alpha=\"0.18\", expect_size=\"38642688\"] \n  16 -> 25 [size =\"38642688\"]\n  17 [size=\"62932992\", alpha=\"0.15\", expect_size=\"31466496\"] \n  17 -> 25 [size =\"31466496\"]\n  18 [size=\"17190912\", alpha=\"0.09\", expect_size=\"8595456\"] \n  18 -> 23 [size =\"8595456\"]\n  18 -> 24 [size =\"8595456\"]\n  19 [size=\"48330752\", alpha=\"0.09\", expect_size=\"24165376\"] \n  19 -> 23 [size =\"24165376\"]\n  19 -> 24 [size =\"24165376\"]\n  19 -> 25 [size =\"24165376\"]\n  20 [size=\"22550528\", alpha=\"0.03\", expect_size=\"11275264\"] \n  20 -> 22 [size =\"11275264\"]\n  20 -> 23 [size =\"11275264\"]\n  20 -> 25 [size =\"11275264\"]\n  21 [size=\"84867072\", alpha=\"0.07\", expect_size=\"42433536\"] \n  21 -> 22 [size =\"42433536\"]\n  21 -> 23 [size =\"42433536\"]\n  22 [size=\"20144128\", alpha=\"0.09\", expect_size=\"10072064\"] \n  23 [size=\"74276864\", alpha=\"0.14\", expect_size=\"37138432\"] \n  24 [size=\"27037696\", alpha=\"0.09\", expect_size=\"13518848\"] \n  25 [size=\"46217216\", alpha=\"0.18\", expect_size=\"23108608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123019947\", alpha=\"0.10\", expect_size=\"36905984\"] \n  1 -> 2 [size =\"36905984\"]\n  2 [size=\"106250240\", alpha=\"0.15\", expect_size=\"31875072\"] \n  2 -> 3 [size =\"31875072\"]\n  2 -> 4 [size =\"31875072\"]\n  3 [size=\"49486507\", alpha=\"0.05\", expect_size=\"14845952\"] \n  3 -> 6 [size =\"14845952\"]\n  4 [size=\"82380800\", alpha=\"0.17\", expect_size=\"24714240\"] \n  4 -> 5 [size =\"24714240\"]\n  5 [size=\"111158613\", alpha=\"0.02\", expect_size=\"33347584\"] \n  5 -> 7 [size =\"33347584\"]\n  6 [size=\"86749867\", alpha=\"0.02\", expect_size=\"26024960\"] \n  7 [size=\"144489813\", alpha=\"0.09\", expect_size=\"43346944\"] \n  7 -> 8 [size =\"43346944\"]\n  8 [size=\"89965227\", alpha=\"0.18\", expect_size=\"26989568\"] \n  8 -> 9 [size =\"26989568\"]\n  9 [size=\"44793173\", alpha=\"0.04\", expect_size=\"13437952\"] \n  9 -> 10 [size =\"13437952\"]\n  10 [size=\"155948373\", alpha=\"0.02\", expect_size=\"46784512\"] \n  10 -> 11 [size =\"46784512\"]\n  10 -> 12 [size =\"46784512\"]\n  11 [size=\"77472427\", alpha=\"0.01\", expect_size=\"23241728\"] \n  11 -> 13 [size =\"23241728\"]\n  12 [size=\"153306453\", alpha=\"0.05\", expect_size=\"45991936\"] \n  13 [size=\"113158827\", alpha=\"0.09\", expect_size=\"33947648\"] \n  13 -> 14 [size =\"33947648\"]\n  14 [size=\"149940907\", alpha=\"0.11\", expect_size=\"44982272\"] \n  14 -> 15 [size =\"44982272\"]\n  14 -> 16 [size =\"44982272\"]\n  15 [size=\"124057600\", alpha=\"0.03\", expect_size=\"37217280\"] \n  16 [size=\"138345813\", alpha=\"0.07\", expect_size=\"41503744\"] \n  16 -> 17 [size =\"41503744\"]\n  17 [size=\"155282773\", alpha=\"0.14\", expect_size=\"46584832\"] \n  17 -> 18 [size =\"46584832\"]\n  18 [size=\"68932267\", alpha=\"0.07\", expect_size=\"20679680\"] \n  18 -> 19 [size =\"20679680\"]\n  18 -> 20 [size =\"20679680\"]\n  19 [size=\"51367253\", alpha=\"0.06\", expect_size=\"15410176\"] \n  20 [size=\"80742400\", alpha=\"0.16\", expect_size=\"24222720\"] \n  20 -> 21 [size =\"24222720\"]\n  20 -> 22 [size =\"24222720\"]\n  21 [size=\"98918400\", alpha=\"0.01\", expect_size=\"29675520\"] \n  21 -> 23 [size =\"29675520\"]\n  22 [size=\"108400640\", alpha=\"0.16\", expect_size=\"32520192\"] \n  22 -> 24 [size =\"32520192\"]\n  23 [size=\"151340373\", alpha=\"0.15\", expect_size=\"45402112\"] \n  24 [size=\"63371947\", alpha=\"0.03\", expect_size=\"19011584\"] \n  24 -> 25 [size =\"19011584\"]\n  25 [size=\"152579413\", alpha=\"0.03\", expect_size=\"45773824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20908032\", alpha=\"0.16\", expect_size=\"10454016\"] \n  1 -> 2 [size =\"10454016\"]\n  2 [size=\"38076416\", alpha=\"0.16\", expect_size=\"19038208\"] \n  2 -> 3 [size =\"19038208\"]\n  3 [size=\"53919744\", alpha=\"0.05\", expect_size=\"26959872\"] \n  3 -> 4 [size =\"26959872\"]\n  4 [size=\"31508480\", alpha=\"0.11\", expect_size=\"15754240\"] \n  4 -> 5 [size =\"15754240\"]\n  5 [size=\"17321984\", alpha=\"0.16\", expect_size=\"8660992\"] \n  5 -> 6 [size =\"8660992\"]\n  6 [size=\"14663680\", alpha=\"0.07\", expect_size=\"7331840\"] \n  6 -> 7 [size =\"7331840\"]\n  7 [size=\"68966400\", alpha=\"0.00\", expect_size=\"34483200\"] \n  7 -> 8 [size =\"34483200\"]\n  8 [size=\"69703680\", alpha=\"0.11\", expect_size=\"34851840\"] \n  8 -> 9 [size =\"34851840\"]\n  9 [size=\"73893888\", alpha=\"0.03\", expect_size=\"36946944\"] \n  9 -> 10 [size =\"36946944\"]\n  10 [size=\"88729600\", alpha=\"0.12\", expect_size=\"44364800\"] \n  10 -> 11 [size =\"44364800\"]\n  11 [size=\"102307840\", alpha=\"0.05\", expect_size=\"51153920\"] \n  11 -> 12 [size =\"51153920\"]\n  12 [size=\"81643520\", alpha=\"0.14\", expect_size=\"40821760\"] \n  12 -> 13 [size =\"40821760\"]\n  13 [size=\"62818304\", alpha=\"0.04\", expect_size=\"31409152\"] \n  13 -> 14 [size =\"31409152\"]\n  14 [size=\"85964800\", alpha=\"0.02\", expect_size=\"42982400\"] \n  14 -> 15 [size =\"42982400\"]\n  15 [size=\"43276288\", alpha=\"0.09\", expect_size=\"21638144\"] \n  15 -> 16 [size =\"21638144\"]\n  16 [size=\"24829952\", alpha=\"0.04\", expect_size=\"12414976\"] \n  16 -> 17 [size =\"12414976\"]\n  17 [size=\"56197120\", alpha=\"0.18\", expect_size=\"28098560\"] \n  17 -> 18 [size =\"28098560\"]\n  18 [size=\"57333760\", alpha=\"0.17\", expect_size=\"28666880\"] \n  18 -> 19 [size =\"28666880\"]\n  19 [size=\"12947456\", alpha=\"0.01\", expect_size=\"6473728\"] \n  19 -> 20 [size =\"6473728\"]\n  20 [size=\"26396672\", alpha=\"0.07\", expect_size=\"13198336\"] \n  20 -> 21 [size =\"13198336\"]\n  21 [size=\"84256768\", alpha=\"0.16\", expect_size=\"42128384\"] \n  21 -> 22 [size =\"42128384\"]\n  22 [size=\"13221888\", alpha=\"0.10\", expect_size=\"6610944\"] \n  22 -> 23 [size =\"6610944\"]\n  23 [size=\"78141440\", alpha=\"0.14\", expect_size=\"39070720\"] \n  23 -> 24 [size =\"39070720\"]\n  24 [size=\"97607680\", alpha=\"0.02\", expect_size=\"48803840\"] \n  24 -> 25 [size =\"48803840\"]\n  25 [size=\"13137920\", alpha=\"0.11\", expect_size=\"6568960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109339307\", alpha=\"0.14\", expect_size=\"32801792\"] \n  1 -> 2 [size =\"32801792\"]\n  2 [size=\"95433387\", alpha=\"0.01\", expect_size=\"28630016\"] \n  2 -> 3 [size =\"28630016\"]\n  3 [size=\"156528640\", alpha=\"0.12\", expect_size=\"46958592\"] \n  3 -> 4 [size =\"46958592\"]\n  4 [size=\"141940053\", alpha=\"0.07\", expect_size=\"42582016\"] \n  4 -> 5 [size =\"42582016\"]\n  5 [size=\"75417600\", alpha=\"0.14\", expect_size=\"22625280\"] \n  5 -> 6 [size =\"22625280\"]\n  6 [size=\"98607787\", alpha=\"0.12\", expect_size=\"29582336\"] \n  6 -> 7 [size =\"29582336\"]\n  7 [size=\"80588800\", alpha=\"0.05\", expect_size=\"24176640\"] \n  7 -> 8 [size =\"24176640\"]\n  8 [size=\"70485333\", alpha=\"0.16\", expect_size=\"21145600\"] \n  8 -> 9 [size =\"21145600\"]\n  9 [size=\"139857920\", alpha=\"0.01\", expect_size=\"41957376\"] \n  9 -> 10 [size =\"41957376\"]\n  10 [size=\"26241707\", alpha=\"0.16\", expect_size=\"7872512\"] \n  10 -> 11 [size =\"7872512\"]\n  11 [size=\"44653227\", alpha=\"0.17\", expect_size=\"13395968\"] \n  11 -> 12 [size =\"13395968\"]\n  12 [size=\"152917333\", alpha=\"0.19\", expect_size=\"45875200\"] \n  12 -> 13 [size =\"45875200\"]\n  13 [size=\"161010347\", alpha=\"0.08\", expect_size=\"48303104\"] \n  13 -> 14 [size =\"48303104\"]\n  14 [size=\"98788693\", alpha=\"0.13\", expect_size=\"29636608\"] \n  14 -> 15 [size =\"29636608\"]\n  15 [size=\"154132480\", alpha=\"0.09\", expect_size=\"46239744\"] \n  15 -> 16 [size =\"46239744\"]\n  16 [size=\"110670507\", alpha=\"0.13\", expect_size=\"33201152\"] \n  16 -> 17 [size =\"33201152\"]\n  17 [size=\"44605440\", alpha=\"0.08\", expect_size=\"13381632\"] \n  17 -> 18 [size =\"13381632\"]\n  18 [size=\"83660800\", alpha=\"0.16\", expect_size=\"25098240\"] \n  18 -> 19 [size =\"25098240\"]\n  19 [size=\"52353707\", alpha=\"0.06\", expect_size=\"15706112\"] \n  19 -> 20 [size =\"15706112\"]\n  20 [size=\"62771200\", alpha=\"0.16\", expect_size=\"18831360\"] \n  20 -> 21 [size =\"18831360\"]\n  21 [size=\"29467307\", alpha=\"0.18\", expect_size=\"8840192\"] \n  21 -> 22 [size =\"8840192\"]\n  22 [size=\"163638613\", alpha=\"0.10\", expect_size=\"49091584\"] \n  22 -> 23 [size =\"49091584\"]\n  23 [size=\"153364480\", alpha=\"0.19\", expect_size=\"46009344\"] \n  23 -> 24 [size =\"46009344\"]\n  24 [size=\"62617600\", alpha=\"0.04\", expect_size=\"18785280\"] \n  24 -> 25 [size =\"18785280\"]\n  25 [size=\"166932480\", alpha=\"0.17\", expect_size=\"50079744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76098560\", alpha=\"0.11\", expect_size=\"30439424\"] \n  1 -> 2 [size =\"30439424\"]\n  2 [size=\"33108480\", alpha=\"0.15\", expect_size=\"13243392\"] \n  2 -> 3 [size =\"13243392\"]\n  3 [size=\"45158400\", alpha=\"0.09\", expect_size=\"18063360\"] \n  3 -> 4 [size =\"18063360\"]\n  4 [size=\"109312000\", alpha=\"0.02\", expect_size=\"43724800\"] \n  4 -> 5 [size =\"43724800\"]\n  5 [size=\"26124800\", alpha=\"0.12\", expect_size=\"10449920\"] \n  5 -> 6 [size =\"10449920\"]\n  6 [size=\"121889280\", alpha=\"0.06\", expect_size=\"48755712\"] \n  6 -> 7 [size =\"48755712\"]\n  7 [size=\"25431040\", alpha=\"0.19\", expect_size=\"10172416\"] \n  7 -> 8 [size =\"10172416\"]\n  8 [size=\"125519360\", alpha=\"0.00\", expect_size=\"50207744\"] \n  8 -> 9 [size =\"50207744\"]\n  9 [size=\"45324800\", alpha=\"0.08\", expect_size=\"18129920\"] \n  9 -> 10 [size =\"18129920\"]\n  10 [size=\"89912320\", alpha=\"0.08\", expect_size=\"35964928\"] \n  10 -> 11 [size =\"35964928\"]\n  11 [size=\"97848320\", alpha=\"0.07\", expect_size=\"39139328\"] \n  11 -> 12 [size =\"39139328\"]\n  12 [size=\"47065600\", alpha=\"0.02\", expect_size=\"18826240\"] \n  12 -> 13 [size =\"18826240\"]\n  13 [size=\"20275200\", alpha=\"0.00\", expect_size=\"8110080\"] \n  13 -> 14 [size =\"8110080\"]\n  14 [size=\"71037440\", alpha=\"0.12\", expect_size=\"28414976\"] \n  14 -> 15 [size =\"28414976\"]\n  15 [size=\"85038080\", alpha=\"0.05\", expect_size=\"34015232\"] \n  15 -> 16 [size =\"34015232\"]\n  16 [size=\"37954560\", alpha=\"0.08\", expect_size=\"15181824\"] \n  16 -> 17 [size =\"15181824\"]\n  17 [size=\"71042560\", alpha=\"0.04\", expect_size=\"28417024\"] \n  17 -> 18 [size =\"28417024\"]\n  18 [size=\"62988800\", alpha=\"0.19\", expect_size=\"25195520\"] \n  18 -> 19 [size =\"25195520\"]\n  19 [size=\"64494080\", alpha=\"0.03\", expect_size=\"25797632\"] \n  19 -> 20 [size =\"25797632\"]\n  20 [size=\"114362880\", alpha=\"0.15\", expect_size=\"45745152\"] \n  20 -> 21 [size =\"45745152\"]\n  21 [size=\"42058240\", alpha=\"0.18\", expect_size=\"16823296\"] \n  21 -> 22 [size =\"16823296\"]\n  22 [size=\"85872640\", alpha=\"0.05\", expect_size=\"34349056\"] \n  22 -> 23 [size =\"34349056\"]\n  23 [size=\"95380480\", alpha=\"0.17\", expect_size=\"38152192\"] \n  23 -> 24 [size =\"38152192\"]\n  24 [size=\"97996800\", alpha=\"0.05\", expect_size=\"39198720\"] \n  24 -> 25 [size =\"39198720\"]\n  25 [size=\"48793600\", alpha=\"0.15\", expect_size=\"19517440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36933632\", alpha=\"0.13\", expect_size=\"18466816\"] \n  1 -> 15 [size =\"18466816\"]\n  1 -> 19 [size =\"18466816\"]\n  1 -> 23 [size =\"18466816\"]\n  1 -> 25 [size =\"18466816\"]\n  2 [size=\"33067008\", alpha=\"0.04\", expect_size=\"16533504\"] \n  2 -> 16 [size =\"16533504\"]\n  2 -> 21 [size =\"16533504\"]\n  2 -> 25 [size =\"16533504\"]\n  2 -> 25 [size =\"16533504\"]\n  3 [size=\"69642240\", alpha=\"0.11\", expect_size=\"34821120\"] \n  3 -> 14 [size =\"34821120\"]\n  3 -> 16 [size =\"34821120\"]\n  3 -> 20 [size =\"34821120\"]\n  3 -> 22 [size =\"34821120\"]\n  3 -> 25 [size =\"34821120\"]\n  4 [size=\"40720384\", alpha=\"0.10\", expect_size=\"20360192\"] \n  4 -> 14 [size =\"20360192\"]\n  4 -> 16 [size =\"20360192\"]\n  4 -> 19 [size =\"20360192\"]\n  4 -> 20 [size =\"20360192\"]\n  4 -> 22 [size =\"20360192\"]\n  4 -> 23 [size =\"20360192\"]\n  4 -> 25 [size =\"20360192\"]\n  5 [size=\"67250176\", alpha=\"0.06\", expect_size=\"33625088\"] \n  5 -> 18 [size =\"33625088\"]\n  5 -> 20 [size =\"33625088\"]\n  5 -> 21 [size =\"33625088\"]\n  6 [size=\"52166656\", alpha=\"0.11\", expect_size=\"26083328\"] \n  6 -> 14 [size =\"26083328\"]\n  6 -> 16 [size =\"26083328\"]\n  6 -> 21 [size =\"26083328\"]\n  6 -> 22 [size =\"26083328\"]\n  6 -> 23 [size =\"26083328\"]\n  6 -> 25 [size =\"26083328\"]\n  7 [size=\"51005440\", alpha=\"0.17\", expect_size=\"25502720\"] \n  7 -> 14 [size =\"25502720\"]\n  7 -> 15 [size =\"25502720\"]\n  7 -> 16 [size =\"25502720\"]\n  7 -> 19 [size =\"25502720\"]\n  7 -> 22 [size =\"25502720\"]\n  7 -> 24 [size =\"25502720\"]\n  7 -> 25 [size =\"25502720\"]\n  8 [size=\"17799168\", alpha=\"0.18\", expect_size=\"8899584\"] \n  8 -> 16 [size =\"8899584\"]\n  8 -> 25 [size =\"8899584\"]\n  9 [size=\"54923264\", alpha=\"0.07\", expect_size=\"27461632\"] \n  9 -> 14 [size =\"27461632\"]\n  9 -> 17 [size =\"27461632\"]\n  9 -> 19 [size =\"27461632\"]\n  9 -> 22 [size =\"27461632\"]\n  10 [size=\"98023424\", alpha=\"0.09\", expect_size=\"49011712\"] \n  10 -> 16 [size =\"49011712\"]\n  10 -> 17 [size =\"49011712\"]\n  10 -> 19 [size =\"49011712\"]\n  10 -> 22 [size =\"49011712\"]\n  11 [size=\"62900224\", alpha=\"0.15\", expect_size=\"31450112\"] \n  11 -> 15 [size =\"31450112\"]\n  11 -> 17 [size =\"31450112\"]\n  11 -> 19 [size =\"31450112\"]\n  12 [size=\"30994432\", alpha=\"0.01\", expect_size=\"15497216\"] \n  12 -> 14 [size =\"15497216\"]\n  12 -> 15 [size =\"15497216\"]\n  12 -> 16 [size =\"15497216\"]\n  12 -> 17 [size =\"15497216\"]\n  12 -> 19 [size =\"15497216\"]\n  12 -> 22 [size =\"15497216\"]\n  13 [size=\"48138240\", alpha=\"0.09\", expect_size=\"24069120\"] \n  13 -> 14 [size =\"24069120\"]\n  13 -> 22 [size =\"24069120\"]\n  14 [size=\"101345280\", alpha=\"0.09\", expect_size=\"50672640\"] \n  15 [size=\"51818496\", alpha=\"0.11\", expect_size=\"25909248\"] \n  16 [size=\"79548416\", alpha=\"0.15\", expect_size=\"39774208\"] \n  17 [size=\"37386240\", alpha=\"0.05\", expect_size=\"18693120\"] \n  18 [size=\"23642112\", alpha=\"0.09\", expect_size=\"11821056\"] \n  19 [size=\"14589952\", alpha=\"0.08\", expect_size=\"7294976\"] \n  20 [size=\"46202880\", alpha=\"0.10\", expect_size=\"23101440\"] \n  21 [size=\"88565760\", alpha=\"0.18\", expect_size=\"44282880\"] \n  22 [size=\"63766528\", alpha=\"0.10\", expect_size=\"31883264\"] \n  23 [size=\"69775360\", alpha=\"0.15\", expect_size=\"34887680\"] \n  24 [size=\"20099072\", alpha=\"0.07\", expect_size=\"10049536\"] \n  25 [size=\"64610304\", alpha=\"0.10\", expect_size=\"32305152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29450240\", alpha=\"0.03\", expect_size=\"14725120\"] \n  1 -> 21 [size =\"14725120\"]\n  1 -> 25 [size =\"14725120\"]\n  2 [size=\"10967040\", alpha=\"0.11\", expect_size=\"5483520\"] \n  2 -> 18 [size =\"5483520\"]\n  2 -> 23 [size =\"5483520\"]\n  3 [size=\"17055744\", alpha=\"0.03\", expect_size=\"8527872\"] \n  3 -> 20 [size =\"8527872\"]\n  3 -> 21 [size =\"8527872\"]\n  3 -> 22 [size =\"8527872\"]\n  3 -> 23 [size =\"8527872\"]\n  4 [size=\"68425728\", alpha=\"0.18\", expect_size=\"34212864\"] \n  4 -> 20 [size =\"34212864\"]\n  4 -> 21 [size =\"34212864\"]\n  4 -> 22 [size =\"34212864\"]\n  4 -> 23 [size =\"34212864\"]\n  5 [size=\"60708864\", alpha=\"0.05\", expect_size=\"30354432\"] \n  5 -> 18 [size =\"30354432\"]\n  5 -> 20 [size =\"30354432\"]\n  5 -> 22 [size =\"30354432\"]\n  5 -> 23 [size =\"30354432\"]\n  5 -> 25 [size =\"30354432\"]\n  6 [size=\"62676992\", alpha=\"0.07\", expect_size=\"31338496\"] \n  6 -> 18 [size =\"31338496\"]\n  6 -> 21 [size =\"31338496\"]\n  7 [size=\"58124288\", alpha=\"0.20\", expect_size=\"29062144\"] \n  7 -> 21 [size =\"29062144\"]\n  8 [size=\"61652992\", alpha=\"0.15\", expect_size=\"30826496\"] \n  8 -> 21 [size =\"30826496\"]\n  8 -> 22 [size =\"30826496\"]\n  9 [size=\"24061952\", alpha=\"0.12\", expect_size=\"12030976\"] \n  9 -> 18 [size =\"12030976\"]\n  10 [size=\"51273728\", alpha=\"0.01\", expect_size=\"25636864\"] \n  10 -> 19 [size =\"25636864\"]\n  10 -> 20 [size =\"25636864\"]\n  11 [size=\"44802048\", alpha=\"0.18\", expect_size=\"22401024\"] \n  11 -> 18 [size =\"22401024\"]\n  11 -> 20 [size =\"22401024\"]\n  12 [size=\"57368576\", alpha=\"0.03\", expect_size=\"28684288\"] \n  12 -> 19 [size =\"28684288\"]\n  12 -> 20 [size =\"28684288\"]\n  12 -> 22 [size =\"28684288\"]\n  13 [size=\"14047232\", alpha=\"0.04\", expect_size=\"7023616\"] \n  13 -> 18 [size =\"7023616\"]\n  13 -> 19 [size =\"7023616\"]\n  13 -> 20 [size =\"7023616\"]\n  13 -> 22 [size =\"7023616\"]\n  13 -> 23 [size =\"7023616\"]\n  13 -> 24 [size =\"7023616\"]\n  14 [size=\"27152384\", alpha=\"0.09\", expect_size=\"13576192\"] \n  14 -> 22 [size =\"13576192\"]\n  15 [size=\"16678912\", alpha=\"0.04\", expect_size=\"8339456\"] \n  15 -> 20 [size =\"8339456\"]\n  15 -> 22 [size =\"8339456\"]\n  16 [size=\"39974912\", alpha=\"0.08\", expect_size=\"19987456\"] \n  16 -> 18 [size =\"19987456\"]\n  16 -> 21 [size =\"19987456\"]\n  17 [size=\"72900608\", alpha=\"0.18\", expect_size=\"36450304\"] \n  17 -> 18 [size =\"36450304\"]\n  17 -> 20 [size =\"36450304\"]\n  17 -> 21 [size =\"36450304\"]\n  18 [size=\"70897664\", alpha=\"0.18\", expect_size=\"35448832\"] \n  19 [size=\"46518272\", alpha=\"0.19\", expect_size=\"23259136\"] \n  20 [size=\"101238784\", alpha=\"0.10\", expect_size=\"50619392\"] \n  21 [size=\"12750848\", alpha=\"0.04\", expect_size=\"6375424\"] \n  22 [size=\"98955264\", alpha=\"0.19\", expect_size=\"49477632\"] \n  23 [size=\"16883712\", alpha=\"0.16\", expect_size=\"8441856\"] \n  24 [size=\"37672960\", alpha=\"0.04\", expect_size=\"18836480\"] \n  25 [size=\"78430208\", alpha=\"0.03\", expect_size=\"39215104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47685120\", alpha=\"0.16\", expect_size=\"19074048\"] \n  1 -> 3 [size =\"19074048\"]\n  2 [size=\"52779520\", alpha=\"0.18\", expect_size=\"21111808\"] \n  2 -> 3 [size =\"21111808\"]\n  3 [size=\"82672640\", alpha=\"0.15\", expect_size=\"33069056\"] \n  3 -> 4 [size =\"33069056\"]\n  4 [size=\"34680320\", alpha=\"0.02\", expect_size=\"13872128\"] \n  4 -> 5 [size =\"13872128\"]\n  4 -> 6 [size =\"13872128\"]\n  5 [size=\"114757120\", alpha=\"0.08\", expect_size=\"45902848\"] \n  5 -> 7 [size =\"45902848\"]\n  5 -> 8 [size =\"45902848\"]\n  6 [size=\"62725120\", alpha=\"0.10\", expect_size=\"25090048\"] \n  6 -> 7 [size =\"25090048\"]\n  6 -> 8 [size =\"25090048\"]\n  7 [size=\"40670720\", alpha=\"0.04\", expect_size=\"16268288\"] \n  7 -> 9 [size =\"16268288\"]\n  7 -> 10 [size =\"16268288\"]\n  8 [size=\"76298240\", alpha=\"0.03\", expect_size=\"30519296\"] \n  8 -> 10 [size =\"30519296\"]\n  9 [size=\"58206720\", alpha=\"0.05\", expect_size=\"23282688\"] \n  10 [size=\"107622400\", alpha=\"0.16\", expect_size=\"43048960\"] \n  10 -> 11 [size =\"43048960\"]\n  11 [size=\"64872960\", alpha=\"0.13\", expect_size=\"25949184\"] \n  11 -> 12 [size =\"25949184\"]\n  12 [size=\"43368960\", alpha=\"0.07\", expect_size=\"17347584\"] \n  12 -> 13 [size =\"17347584\"]\n  12 -> 14 [size =\"17347584\"]\n  13 [size=\"28979200\", alpha=\"0.10\", expect_size=\"11591680\"] \n  14 [size=\"114941440\", alpha=\"0.16\", expect_size=\"45976576\"] \n  14 -> 15 [size =\"45976576\"]\n  14 -> 16 [size =\"45976576\"]\n  15 [size=\"129395200\", alpha=\"0.04\", expect_size=\"51758080\"] \n  15 -> 17 [size =\"51758080\"]\n  16 [size=\"58749440\", alpha=\"0.15\", expect_size=\"23499776\"] \n  17 [size=\"119185920\", alpha=\"0.04\", expect_size=\"47674368\"] \n  17 -> 18 [size =\"47674368\"]\n  18 [size=\"22753280\", alpha=\"0.03\", expect_size=\"9101312\"] \n  18 -> 19 [size =\"9101312\"]\n  19 [size=\"43000320\", alpha=\"0.04\", expect_size=\"17200128\"] \n  19 -> 20 [size =\"17200128\"]\n  19 -> 21 [size =\"17200128\"]\n  20 [size=\"75404800\", alpha=\"0.17\", expect_size=\"30161920\"] \n  20 -> 22 [size =\"30161920\"]\n  20 -> 23 [size =\"30161920\"]\n  21 [size=\"50114560\", alpha=\"0.15\", expect_size=\"20045824\"] \n  21 -> 22 [size =\"20045824\"]\n  21 -> 23 [size =\"20045824\"]\n  22 [size=\"125117440\", alpha=\"0.00\", expect_size=\"50046976\"] \n  22 -> 25 [size =\"50046976\"]\n  23 [size=\"49917440\", alpha=\"0.17\", expect_size=\"19966976\"] \n  23 -> 24 [size =\"19966976\"]\n  23 -> 25 [size =\"19966976\"]\n  24 [size=\"111669760\", alpha=\"0.18\", expect_size=\"44667904\"] \n  25 [size=\"88381440\", alpha=\"0.16\", expect_size=\"35352576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12089344\", alpha=\"0.02\", expect_size=\"6044672\"] \n  1 -> 3 [size =\"6044672\"]\n  1 -> 4 [size =\"6044672\"]\n  2 [size=\"103002112\", alpha=\"0.02\", expect_size=\"51501056\"] \n  2 -> 4 [size =\"51501056\"]\n  3 [size=\"95105024\", alpha=\"0.13\", expect_size=\"47552512\"] \n  3 -> 5 [size =\"47552512\"]\n  3 -> 6 [size =\"47552512\"]\n  4 [size=\"19402752\", alpha=\"0.18\", expect_size=\"9701376\"] \n  4 -> 5 [size =\"9701376\"]\n  4 -> 6 [size =\"9701376\"]\n  5 [size=\"78862336\", alpha=\"0.17\", expect_size=\"39431168\"] \n  5 -> 7 [size =\"39431168\"]\n  6 [size=\"77936640\", alpha=\"0.13\", expect_size=\"38968320\"] \n  7 [size=\"86497280\", alpha=\"0.14\", expect_size=\"43248640\"] \n  7 -> 8 [size =\"43248640\"]\n  7 -> 9 [size =\"43248640\"]\n  8 [size=\"62216192\", alpha=\"0.09\", expect_size=\"31108096\"] \n  8 -> 10 [size =\"31108096\"]\n  9 [size=\"79312896\", alpha=\"0.04\", expect_size=\"39656448\"] \n  9 -> 10 [size =\"39656448\"]\n  10 [size=\"33931264\", alpha=\"0.03\", expect_size=\"16965632\"] \n  10 -> 11 [size =\"16965632\"]\n  10 -> 12 [size =\"16965632\"]\n  11 [size=\"78301184\", alpha=\"0.11\", expect_size=\"39150592\"] \n  11 -> 13 [size =\"39150592\"]\n  12 [size=\"86192128\", alpha=\"0.01\", expect_size=\"43096064\"] \n  12 -> 13 [size =\"43096064\"]\n  13 [size=\"94382080\", alpha=\"0.14\", expect_size=\"47191040\"] \n  13 -> 14 [size =\"47191040\"]\n  13 -> 15 [size =\"47191040\"]\n  14 [size=\"60182528\", alpha=\"0.06\", expect_size=\"30091264\"] \n  14 -> 16 [size =\"30091264\"]\n  15 [size=\"50124800\", alpha=\"0.19\", expect_size=\"25062400\"] \n  16 [size=\"36188160\", alpha=\"0.08\", expect_size=\"18094080\"] \n  16 -> 17 [size =\"18094080\"]\n  17 [size=\"99600384\", alpha=\"0.11\", expect_size=\"49800192\"] \n  17 -> 18 [size =\"49800192\"]\n  17 -> 19 [size =\"49800192\"]\n  18 [size=\"73463808\", alpha=\"0.15\", expect_size=\"36731904\"] \n  18 -> 20 [size =\"36731904\"]\n  19 [size=\"19812352\", alpha=\"0.04\", expect_size=\"9906176\"] \n  19 -> 20 [size =\"9906176\"]\n  19 -> 21 [size =\"9906176\"]\n  20 [size=\"36728832\", alpha=\"0.18\", expect_size=\"18364416\"] \n  20 -> 22 [size =\"18364416\"]\n  21 [size=\"51212288\", alpha=\"0.12\", expect_size=\"25606144\"] \n  21 -> 22 [size =\"25606144\"]\n  22 [size=\"103806976\", alpha=\"0.05\", expect_size=\"51903488\"] \n  22 -> 23 [size =\"51903488\"]\n  22 -> 24 [size =\"51903488\"]\n  23 [size=\"16021504\", alpha=\"0.17\", expect_size=\"8010752\"] \n  24 [size=\"83132416\", alpha=\"0.10\", expect_size=\"41566208\"] \n  24 -> 25 [size =\"41566208\"]\n  25 [size=\"19412992\", alpha=\"0.18\", expect_size=\"9706496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92649472\", alpha=\"0.09\", expect_size=\"46324736\"] \n  1 -> 12 [size =\"46324736\"]\n  1 -> 13 [size =\"46324736\"]\n  1 -> 16 [size =\"46324736\"]\n  1 -> 17 [size =\"46324736\"]\n  1 -> 19 [size =\"46324736\"]\n  2 [size=\"28057600\", alpha=\"0.09\", expect_size=\"14028800\"] \n  2 -> 13 [size =\"14028800\"]\n  2 -> 13 [size =\"14028800\"]\n  2 -> 16 [size =\"14028800\"]\n  2 -> 19 [size =\"14028800\"]\n  3 [size=\"59478016\", alpha=\"0.08\", expect_size=\"29739008\"] \n  3 -> 12 [size =\"29739008\"]\n  3 -> 14 [size =\"29739008\"]\n  3 -> 16 [size =\"29739008\"]\n  4 [size=\"69324800\", alpha=\"0.09\", expect_size=\"34662400\"] \n  4 -> 13 [size =\"34662400\"]\n  4 -> 14 [size =\"34662400\"]\n  4 -> 16 [size =\"34662400\"]\n  5 [size=\"39514112\", alpha=\"0.09\", expect_size=\"19757056\"] \n  5 -> 12 [size =\"19757056\"]\n  5 -> 13 [size =\"19757056\"]\n  5 -> 14 [size =\"19757056\"]\n  5 -> 16 [size =\"19757056\"]\n  5 -> 19 [size =\"19757056\"]\n  6 [size=\"44011520\", alpha=\"0.06\", expect_size=\"22005760\"] \n  6 -> 12 [size =\"22005760\"]\n  6 -> 14 [size =\"22005760\"]\n  6 -> 16 [size =\"22005760\"]\n  6 -> 16 [size =\"22005760\"]\n  6 -> 19 [size =\"22005760\"]\n  7 [size=\"86188032\", alpha=\"0.12\", expect_size=\"43094016\"] \n  7 -> 12 [size =\"43094016\"]\n  7 -> 16 [size =\"43094016\"]\n  8 [size=\"15581184\", alpha=\"0.09\", expect_size=\"7790592\"] \n  8 -> 13 [size =\"7790592\"]\n  8 -> 19 [size =\"7790592\"]\n  9 [size=\"73973760\", alpha=\"0.08\", expect_size=\"36986880\"] \n  9 -> 19 [size =\"36986880\"]\n  10 [size=\"39999488\", alpha=\"0.17\", expect_size=\"19999744\"] \n  10 -> 12 [size =\"19999744\"]\n  10 -> 13 [size =\"19999744\"]\n  10 -> 14 [size =\"19999744\"]\n  10 -> 15 [size =\"19999744\"]\n  10 -> 16 [size =\"19999744\"]\n  10 -> 17 [size =\"19999744\"]\n  10 -> 18 [size =\"19999744\"]\n  10 -> 19 [size =\"19999744\"]\n  11 [size=\"89903104\", alpha=\"0.05\", expect_size=\"44951552\"] \n  11 -> 12 [size =\"44951552\"]\n  11 -> 15 [size =\"44951552\"]\n  11 -> 17 [size =\"44951552\"]\n  11 -> 19 [size =\"44951552\"]\n  12 [size=\"36354048\", alpha=\"0.11\", expect_size=\"18177024\"] \n  12 -> 20 [size =\"18177024\"]\n  12 -> 22 [size =\"18177024\"]\n  12 -> 22 [size =\"18177024\"]\n  12 -> 23 [size =\"18177024\"]\n  12 -> 24 [size =\"18177024\"]\n  12 -> 25 [size =\"18177024\"]\n  13 [size=\"76756992\", alpha=\"0.06\", expect_size=\"38378496\"] \n  13 -> 20 [size =\"38378496\"]\n  13 -> 22 [size =\"38378496\"]\n  13 -> 23 [size =\"38378496\"]\n  13 -> 24 [size =\"38378496\"]\n  13 -> 25 [size =\"38378496\"]\n  14 [size=\"19431424\", alpha=\"0.05\", expect_size=\"9715712\"] \n  14 -> 20 [size =\"9715712\"]\n  14 -> 22 [size =\"9715712\"]\n  14 -> 23 [size =\"9715712\"]\n  14 -> 24 [size =\"9715712\"]\n  15 [size=\"60680192\", alpha=\"0.19\", expect_size=\"30340096\"] \n  15 -> 20 [size =\"30340096\"]\n  15 -> 21 [size =\"30340096\"]\n  15 -> 22 [size =\"30340096\"]\n  15 -> 23 [size =\"30340096\"]\n  15 -> 25 [size =\"30340096\"]\n  16 [size=\"103774208\", alpha=\"0.12\", expect_size=\"51887104\"] \n  16 -> 22 [size =\"51887104\"]\n  16 -> 23 [size =\"51887104\"]\n  16 -> 24 [size =\"51887104\"]\n  16 -> 25 [size =\"51887104\"]\n  17 [size=\"37396480\", alpha=\"0.06\", expect_size=\"18698240\"] \n  17 -> 23 [size =\"18698240\"]\n  17 -> 25 [size =\"18698240\"]\n  18 [size=\"95856640\", alpha=\"0.16\", expect_size=\"47928320\"] \n  18 -> 20 [size =\"47928320\"]\n  18 -> 21 [size =\"47928320\"]\n  18 -> 22 [size =\"47928320\"]\n  18 -> 23 [size =\"47928320\"]\n  18 -> 24 [size =\"47928320\"]\n  18 -> 25 [size =\"47928320\"]\n  19 [size=\"43485184\", alpha=\"0.08\", expect_size=\"21742592\"] \n  19 -> 20 [size =\"21742592\"]\n  19 -> 21 [size =\"21742592\"]\n  19 -> 22 [size =\"21742592\"]\n  19 -> 24 [size =\"21742592\"]\n  19 -> 25 [size =\"21742592\"]\n  19 -> 25 [size =\"21742592\"]\n  20 [size=\"79036416\", alpha=\"0.18\", expect_size=\"39518208\"] \n  21 [size=\"64894976\", alpha=\"0.06\", expect_size=\"32447488\"] \n  22 [size=\"89001984\", alpha=\"0.17\", expect_size=\"44500992\"] \n  23 [size=\"45502464\", alpha=\"0.19\", expect_size=\"22751232\"] \n  24 [size=\"71827456\", alpha=\"0.13\", expect_size=\"35913728\"] \n  25 [size=\"93898752\", alpha=\"0.14\", expect_size=\"46949376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42501120\", alpha=\"0.07\", expect_size=\"17000448\"] \n  1 -> 2 [size =\"17000448\"]\n  1 -> 3 [size =\"17000448\"]\n  2 [size=\"65326080\", alpha=\"0.05\", expect_size=\"26130432\"] \n  2 -> 4 [size =\"26130432\"]\n  2 -> 5 [size =\"26130432\"]\n  3 [size=\"96266240\", alpha=\"0.17\", expect_size=\"38506496\"] \n  3 -> 4 [size =\"38506496\"]\n  4 [size=\"80097280\", alpha=\"0.13\", expect_size=\"32038912\"] \n  4 -> 6 [size =\"32038912\"]\n  5 [size=\"63086080\", alpha=\"0.14\", expect_size=\"25234432\"] \n  6 [size=\"68723200\", alpha=\"0.14\", expect_size=\"27489280\"] \n  6 -> 7 [size =\"27489280\"]\n  7 [size=\"108039680\", alpha=\"0.19\", expect_size=\"43215872\"] \n  7 -> 8 [size =\"43215872\"]\n  8 [size=\"102968320\", alpha=\"0.13\", expect_size=\"41187328\"] \n  8 -> 9 [size =\"41187328\"]\n  8 -> 10 [size =\"41187328\"]\n  9 [size=\"100536320\", alpha=\"0.06\", expect_size=\"40214528\"] \n  9 -> 11 [size =\"40214528\"]\n  9 -> 12 [size =\"40214528\"]\n  10 [size=\"112555520\", alpha=\"0.09\", expect_size=\"45022208\"] \n  11 [size=\"74408960\", alpha=\"0.16\", expect_size=\"29763584\"] \n  11 -> 14 [size =\"29763584\"]\n  12 [size=\"116165120\", alpha=\"0.10\", expect_size=\"46466048\"] \n  12 -> 13 [size =\"46466048\"]\n  13 [size=\"29719040\", alpha=\"0.12\", expect_size=\"11887616\"] \n  13 -> 16 [size =\"11887616\"]\n  14 [size=\"129635840\", alpha=\"0.08\", expect_size=\"51854336\"] \n  14 -> 15 [size =\"51854336\"]\n  14 -> 16 [size =\"51854336\"]\n  15 [size=\"89146880\", alpha=\"0.17\", expect_size=\"35658752\"] \n  15 -> 18 [size =\"35658752\"]\n  16 [size=\"55116800\", alpha=\"0.01\", expect_size=\"22046720\"] \n  16 -> 17 [size =\"22046720\"]\n  16 -> 18 [size =\"22046720\"]\n  17 [size=\"16975360\", alpha=\"0.08\", expect_size=\"6790144\"] \n  17 -> 19 [size =\"6790144\"]\n  17 -> 20 [size =\"6790144\"]\n  18 [size=\"126192640\", alpha=\"0.13\", expect_size=\"50477056\"] \n  18 -> 19 [size =\"50477056\"]\n  19 [size=\"83105280\", alpha=\"0.16\", expect_size=\"33242112\"] \n  20 [size=\"118855680\", alpha=\"0.17\", expect_size=\"47542272\"] \n  20 -> 21 [size =\"47542272\"]\n  21 [size=\"55444480\", alpha=\"0.03\", expect_size=\"22177792\"] \n  21 -> 22 [size =\"22177792\"]\n  21 -> 23 [size =\"22177792\"]\n  22 [size=\"33735680\", alpha=\"0.17\", expect_size=\"13494272\"] \n  22 -> 24 [size =\"13494272\"]\n  23 [size=\"91509760\", alpha=\"0.06\", expect_size=\"36603904\"] \n  23 -> 24 [size =\"36603904\"]\n  24 [size=\"42772480\", alpha=\"0.07\", expect_size=\"17108992\"] \n  24 -> 25 [size =\"17108992\"]\n  25 [size=\"92039680\", alpha=\"0.16\", expect_size=\"36815872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69877760\", alpha=\"0.15\", expect_size=\"34938880\"] \n  1 -> 13 [size =\"34938880\"]\n  1 -> 15 [size =\"34938880\"]\n  1 -> 17 [size =\"34938880\"]\n  1 -> 18 [size =\"34938880\"]\n  1 -> 21 [size =\"34938880\"]\n  1 -> 22 [size =\"34938880\"]\n  1 -> 25 [size =\"34938880\"]\n  2 [size=\"92467200\", alpha=\"0.07\", expect_size=\"46233600\"] \n  2 -> 13 [size =\"46233600\"]\n  2 -> 17 [size =\"46233600\"]\n  2 -> 18 [size =\"46233600\"]\n  2 -> 18 [size =\"46233600\"]\n  2 -> 20 [size =\"46233600\"]\n  2 -> 21 [size =\"46233600\"]\n  2 -> 25 [size =\"46233600\"]\n  3 [size=\"13572096\", alpha=\"0.05\", expect_size=\"6786048\"] \n  3 -> 13 [size =\"6786048\"]\n  3 -> 15 [size =\"6786048\"]\n  3 -> 16 [size =\"6786048\"]\n  3 -> 17 [size =\"6786048\"]\n  3 -> 23 [size =\"6786048\"]\n  3 -> 25 [size =\"6786048\"]\n  3 -> 25 [size =\"6786048\"]\n  4 [size=\"77385728\", alpha=\"0.11\", expect_size=\"38692864\"] \n  4 -> 12 [size =\"38692864\"]\n  4 -> 13 [size =\"38692864\"]\n  4 -> 15 [size =\"38692864\"]\n  4 -> 16 [size =\"38692864\"]\n  4 -> 17 [size =\"38692864\"]\n  4 -> 19 [size =\"38692864\"]\n  4 -> 22 [size =\"38692864\"]\n  4 -> 23 [size =\"38692864\"]\n  5 [size=\"96518144\", alpha=\"0.12\", expect_size=\"48259072\"] \n  5 -> 12 [size =\"48259072\"]\n  5 -> 13 [size =\"48259072\"]\n  5 -> 15 [size =\"48259072\"]\n  5 -> 16 [size =\"48259072\"]\n  5 -> 17 [size =\"48259072\"]\n  5 -> 21 [size =\"48259072\"]\n  5 -> 23 [size =\"48259072\"]\n  5 -> 23 [size =\"48259072\"]\n  5 -> 24 [size =\"48259072\"]\n  5 -> 25 [size =\"48259072\"]\n  6 [size=\"55316480\", alpha=\"0.19\", expect_size=\"27658240\"] \n  6 -> 13 [size =\"27658240\"]\n  6 -> 13 [size =\"27658240\"]\n  6 -> 14 [size =\"27658240\"]\n  6 -> 15 [size =\"27658240\"]\n  6 -> 16 [size =\"27658240\"]\n  6 -> 17 [size =\"27658240\"]\n  6 -> 18 [size =\"27658240\"]\n  6 -> 20 [size =\"27658240\"]\n  6 -> 22 [size =\"27658240\"]\n  6 -> 23 [size =\"27658240\"]\n  6 -> 24 [size =\"27658240\"]\n  7 [size=\"98207744\", alpha=\"0.12\", expect_size=\"49103872\"] \n  7 -> 16 [size =\"49103872\"]\n  7 -> 18 [size =\"49103872\"]\n  7 -> 21 [size =\"49103872\"]\n  7 -> 22 [size =\"49103872\"]\n  7 -> 23 [size =\"49103872\"]\n  7 -> 24 [size =\"49103872\"]\n  8 [size=\"90492928\", alpha=\"0.19\", expect_size=\"45246464\"] \n  8 -> 12 [size =\"45246464\"]\n  8 -> 15 [size =\"45246464\"]\n  8 -> 22 [size =\"45246464\"]\n  8 -> 22 [size =\"45246464\"]\n  9 [size=\"43343872\", alpha=\"0.05\", expect_size=\"21671936\"] \n  9 -> 13 [size =\"21671936\"]\n  9 -> 14 [size =\"21671936\"]\n  9 -> 15 [size =\"21671936\"]\n  9 -> 16 [size =\"21671936\"]\n  9 -> 17 [size =\"21671936\"]\n  9 -> 19 [size =\"21671936\"]\n  9 -> 21 [size =\"21671936\"]\n  9 -> 22 [size =\"21671936\"]\n  9 -> 23 [size =\"21671936\"]\n  10 [size=\"103440384\", alpha=\"0.08\", expect_size=\"51720192\"] \n  10 -> 13 [size =\"51720192\"]\n  10 -> 15 [size =\"51720192\"]\n  10 -> 18 [size =\"51720192\"]\n  10 -> 19 [size =\"51720192\"]\n  10 -> 21 [size =\"51720192\"]\n  10 -> 22 [size =\"51720192\"]\n  10 -> 23 [size =\"51720192\"]\n  10 -> 25 [size =\"51720192\"]\n  11 [size=\"84180992\", alpha=\"0.08\", expect_size=\"42090496\"] \n  11 -> 14 [size =\"42090496\"]\n  11 -> 15 [size =\"42090496\"]\n  11 -> 17 [size =\"42090496\"]\n  11 -> 18 [size =\"42090496\"]\n  11 -> 19 [size =\"42090496\"]\n  11 -> 20 [size =\"42090496\"]\n  11 -> 21 [size =\"42090496\"]\n  11 -> 25 [size =\"42090496\"]\n  12 [size=\"62371840\", alpha=\"0.16\", expect_size=\"31185920\"] \n  13 [size=\"97122304\", alpha=\"0.10\", expect_size=\"48561152\"] \n  14 [size=\"26552320\", alpha=\"0.08\", expect_size=\"13276160\"] \n  15 [size=\"78491648\", alpha=\"0.12\", expect_size=\"39245824\"] \n  16 [size=\"40148992\", alpha=\"0.07\", expect_size=\"20074496\"] \n  17 [size=\"34115584\", alpha=\"0.05\", expect_size=\"17057792\"] \n  18 [size=\"90296320\", alpha=\"0.04\", expect_size=\"45148160\"] \n  19 [size=\"85448704\", alpha=\"0.05\", expect_size=\"42724352\"] \n  20 [size=\"15026176\", alpha=\"0.06\", expect_size=\"7513088\"] \n  21 [size=\"51736576\", alpha=\"0.19\", expect_size=\"25868288\"] \n  22 [size=\"88926208\", alpha=\"0.09\", expect_size=\"44463104\"] \n  23 [size=\"69613568\", alpha=\"0.20\", expect_size=\"34806784\"] \n  24 [size=\"20117504\", alpha=\"0.05\", expect_size=\"10058752\"] \n  25 [size=\"57081856\", alpha=\"0.08\", expect_size=\"28540928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80046080\", alpha=\"0.03\", expect_size=\"32018432\"] \n  1 -> 13 [size =\"32018432\"]\n  1 -> 17 [size =\"32018432\"]\n  2 [size=\"47459840\", alpha=\"0.10\", expect_size=\"18983936\"] \n  2 -> 14 [size =\"18983936\"]\n  3 [size=\"55528960\", alpha=\"0.00\", expect_size=\"22211584\"] \n  3 -> 13 [size =\"22211584\"]\n  3 -> 14 [size =\"22211584\"]\n  3 -> 16 [size =\"22211584\"]\n  3 -> 17 [size =\"22211584\"]\n  4 [size=\"28328960\", alpha=\"0.17\", expect_size=\"11331584\"] \n  4 -> 11 [size =\"11331584\"]\n  4 -> 12 [size =\"11331584\"]\n  4 -> 15 [size =\"11331584\"]\n  4 -> 16 [size =\"11331584\"]\n  5 [size=\"59694080\", alpha=\"0.02\", expect_size=\"23877632\"] \n  5 -> 13 [size =\"23877632\"]\n  5 -> 15 [size =\"23877632\"]\n  5 -> 17 [size =\"23877632\"]\n  6 [size=\"45780480\", alpha=\"0.00\", expect_size=\"18312192\"] \n  6 -> 11 [size =\"18312192\"]\n  6 -> 18 [size =\"18312192\"]\n  7 [size=\"52300800\", alpha=\"0.06\", expect_size=\"20920320\"] \n  7 -> 10 [size =\"20920320\"]\n  7 -> 11 [size =\"20920320\"]\n  7 -> 12 [size =\"20920320\"]\n  7 -> 17 [size =\"20920320\"]\n  8 [size=\"111664640\", alpha=\"0.11\", expect_size=\"44665856\"] \n  8 -> 11 [size =\"44665856\"]\n  8 -> 12 [size =\"44665856\"]\n  8 -> 16 [size =\"44665856\"]\n  8 -> 17 [size =\"44665856\"]\n  8 -> 18 [size =\"44665856\"]\n  9 [size=\"85125120\", alpha=\"0.20\", expect_size=\"34050048\"] \n  9 -> 13 [size =\"34050048\"]\n  9 -> 15 [size =\"34050048\"]\n  9 -> 16 [size =\"34050048\"]\n  10 [size=\"66462720\", alpha=\"0.12\", expect_size=\"26585088\"] \n  10 -> 22 [size =\"26585088\"]\n  10 -> 24 [size =\"26585088\"]\n  11 [size=\"72468480\", alpha=\"0.07\", expect_size=\"28987392\"] \n  11 -> 19 [size =\"28987392\"]\n  11 -> 24 [size =\"28987392\"]\n  11 -> 25 [size =\"28987392\"]\n  12 [size=\"88476160\", alpha=\"0.01\", expect_size=\"35390464\"] \n  12 -> 19 [size =\"35390464\"]\n  12 -> 24 [size =\"35390464\"]\n  13 [size=\"26790400\", alpha=\"0.18\", expect_size=\"10716160\"] \n  13 -> 24 [size =\"10716160\"]\n  14 [size=\"27333120\", alpha=\"0.07\", expect_size=\"10933248\"] \n  15 [size=\"127024640\", alpha=\"0.08\", expect_size=\"50809856\"] \n  16 [size=\"19671040\", alpha=\"0.03\", expect_size=\"7868416\"] \n  17 [size=\"20774400\", alpha=\"0.07\", expect_size=\"8309760\"] \n  17 -> 20 [size =\"8309760\"]\n  17 -> 21 [size =\"8309760\"]\n  17 -> 23 [size =\"8309760\"]\n  18 [size=\"58275840\", alpha=\"0.13\", expect_size=\"23310336\"] \n  18 -> 19 [size =\"23310336\"]\n  18 -> 20 [size =\"23310336\"]\n  18 -> 24 [size =\"23310336\"]\n  19 [size=\"120537600\", alpha=\"0.13\", expect_size=\"48215040\"] \n  20 [size=\"120256000\", alpha=\"0.03\", expect_size=\"48102400\"] \n  21 [size=\"72911360\", alpha=\"0.05\", expect_size=\"29164544\"] \n  22 [size=\"113082880\", alpha=\"0.12\", expect_size=\"45233152\"] \n  23 [size=\"121338880\", alpha=\"0.06\", expect_size=\"48535552\"] \n  24 [size=\"109460480\", alpha=\"0.03\", expect_size=\"43784192\"] \n  25 [size=\"34634240\", alpha=\"0.08\", expect_size=\"13853696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23381333\", alpha=\"0.06\", expect_size=\"7014400\"] \n  1 -> 11 [size =\"7014400\"]\n  1 -> 15 [size =\"7014400\"]\n  1 -> 16 [size =\"7014400\"]\n  2 [size=\"78175573\", alpha=\"0.18\", expect_size=\"23452672\"] \n  2 -> 11 [size =\"23452672\"]\n  2 -> 13 [size =\"23452672\"]\n  2 -> 14 [size =\"23452672\"]\n  2 -> 16 [size =\"23452672\"]\n  2 -> 17 [size =\"23452672\"]\n  3 [size=\"37522773\", alpha=\"0.00\", expect_size=\"11256832\"] \n  3 -> 9 [size =\"11256832\"]\n  3 -> 16 [size =\"11256832\"]\n  4 [size=\"151077547\", alpha=\"0.17\", expect_size=\"45323264\"] \n  4 -> 10 [size =\"45323264\"]\n  4 -> 12 [size =\"45323264\"]\n  4 -> 13 [size =\"45323264\"]\n  4 -> 15 [size =\"45323264\"]\n  4 -> 16 [size =\"45323264\"]\n  4 -> 17 [size =\"45323264\"]\n  5 [size=\"142260907\", alpha=\"0.08\", expect_size=\"42678272\"] \n  5 -> 10 [size =\"42678272\"]\n  5 -> 11 [size =\"42678272\"]\n  5 -> 12 [size =\"42678272\"]\n  5 -> 17 [size =\"42678272\"]\n  6 [size=\"77236907\", alpha=\"0.15\", expect_size=\"23171072\"] \n  6 -> 10 [size =\"23171072\"]\n  6 -> 11 [size =\"23171072\"]\n  6 -> 14 [size =\"23171072\"]\n  7 [size=\"60364800\", alpha=\"0.09\", expect_size=\"18109440\"] \n  7 -> 12 [size =\"18109440\"]\n  8 [size=\"105120427\", alpha=\"0.14\", expect_size=\"31536128\"] \n  8 -> 15 [size =\"31536128\"]\n  9 [size=\"54609920\", alpha=\"0.20\", expect_size=\"16382976\"] \n  9 -> 21 [size =\"16382976\"]\n  9 -> 24 [size =\"16382976\"]\n  9 -> 25 [size =\"16382976\"]\n  10 [size=\"150647467\", alpha=\"0.17\", expect_size=\"45194240\"] \n  10 -> 20 [size =\"45194240\"]\n  10 -> 21 [size =\"45194240\"]\n  11 [size=\"145503573\", alpha=\"0.08\", expect_size=\"43651072\"] \n  11 -> 18 [size =\"43651072\"]\n  11 -> 19 [size =\"43651072\"]\n  11 -> 23 [size =\"43651072\"]\n  12 [size=\"36689920\", alpha=\"0.00\", expect_size=\"11006976\"] \n  13 [size=\"21818027\", alpha=\"0.18\", expect_size=\"6545408\"] \n  13 -> 18 [size =\"6545408\"]\n  13 -> 21 [size =\"6545408\"]\n  13 -> 22 [size =\"6545408\"]\n  13 -> 24 [size =\"6545408\"]\n  13 -> 25 [size =\"6545408\"]\n  14 [size=\"22517760\", alpha=\"0.00\", expect_size=\"6755328\"] \n  14 -> 21 [size =\"6755328\"]\n  14 -> 23 [size =\"6755328\"]\n  14 -> 24 [size =\"6755328\"]\n  15 [size=\"154129067\", alpha=\"0.03\", expect_size=\"46238720\"] \n  15 -> 20 [size =\"46238720\"]\n  15 -> 22 [size =\"46238720\"]\n  15 -> 23 [size =\"46238720\"]\n  16 [size=\"60200960\", alpha=\"0.18\", expect_size=\"18060288\"] \n  16 -> 20 [size =\"18060288\"]\n  16 -> 22 [size =\"18060288\"]\n  16 -> 23 [size =\"18060288\"]\n  16 -> 24 [size =\"18060288\"]\n  17 [size=\"20940800\", alpha=\"0.05\", expect_size=\"6282240\"] \n  17 -> 18 [size =\"6282240\"]\n  17 -> 19 [size =\"6282240\"]\n  17 -> 20 [size =\"6282240\"]\n  17 -> 21 [size =\"6282240\"]\n  17 -> 23 [size =\"6282240\"]\n  18 [size=\"93272747\", alpha=\"0.20\", expect_size=\"27981824\"] \n  19 [size=\"44707840\", alpha=\"0.06\", expect_size=\"13412352\"] \n  20 [size=\"41553920\", alpha=\"0.14\", expect_size=\"12466176\"] \n  21 [size=\"171823787\", alpha=\"0.03\", expect_size=\"51547136\"] \n  22 [size=\"74591573\", alpha=\"0.20\", expect_size=\"22377472\"] \n  23 [size=\"75837440\", alpha=\"0.19\", expect_size=\"22751232\"] \n  24 [size=\"56886613\", alpha=\"0.15\", expect_size=\"17065984\"] \n  25 [size=\"59716267\", alpha=\"0.07\", expect_size=\"17914880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87134720\", alpha=\"0.04\", expect_size=\"34853888\"] \n  1 -> 2 [size =\"34853888\"]\n  2 [size=\"42176000\", alpha=\"0.18\", expect_size=\"16870400\"] \n  2 -> 3 [size =\"16870400\"]\n  3 [size=\"27002880\", alpha=\"0.17\", expect_size=\"10801152\"] \n  3 -> 4 [size =\"10801152\"]\n  4 [size=\"42252800\", alpha=\"0.15\", expect_size=\"16901120\"] \n  4 -> 5 [size =\"16901120\"]\n  5 [size=\"122529280\", alpha=\"0.14\", expect_size=\"49011712\"] \n  5 -> 6 [size =\"49011712\"]\n  6 [size=\"127060480\", alpha=\"0.10\", expect_size=\"50824192\"] \n  6 -> 7 [size =\"50824192\"]\n  7 [size=\"49356800\", alpha=\"0.15\", expect_size=\"19742720\"] \n  7 -> 8 [size =\"19742720\"]\n  8 [size=\"117096960\", alpha=\"0.10\", expect_size=\"46838784\"] \n  8 -> 9 [size =\"46838784\"]\n  9 [size=\"37570560\", alpha=\"0.01\", expect_size=\"15028224\"] \n  9 -> 10 [size =\"15028224\"]\n  10 [size=\"69442560\", alpha=\"0.17\", expect_size=\"27777024\"] \n  10 -> 11 [size =\"27777024\"]\n  11 [size=\"90375680\", alpha=\"0.02\", expect_size=\"36150272\"] \n  11 -> 12 [size =\"36150272\"]\n  12 [size=\"111715840\", alpha=\"0.12\", expect_size=\"44686336\"] \n  12 -> 13 [size =\"44686336\"]\n  13 [size=\"98529280\", alpha=\"0.10\", expect_size=\"39411712\"] \n  13 -> 14 [size =\"39411712\"]\n  14 [size=\"82211840\", alpha=\"0.13\", expect_size=\"32884736\"] \n  14 -> 15 [size =\"32884736\"]\n  15 [size=\"54563840\", alpha=\"0.18\", expect_size=\"21825536\"] \n  15 -> 16 [size =\"21825536\"]\n  16 [size=\"17832960\", alpha=\"0.10\", expect_size=\"7133184\"] \n  16 -> 17 [size =\"7133184\"]\n  17 [size=\"75740160\", alpha=\"0.01\", expect_size=\"30296064\"] \n  17 -> 18 [size =\"30296064\"]\n  18 [size=\"48826880\", alpha=\"0.01\", expect_size=\"19530752\"] \n  18 -> 19 [size =\"19530752\"]\n  19 [size=\"105395200\", alpha=\"0.12\", expect_size=\"42158080\"] \n  19 -> 20 [size =\"42158080\"]\n  20 [size=\"113907200\", alpha=\"0.10\", expect_size=\"45562880\"] \n  20 -> 21 [size =\"45562880\"]\n  21 [size=\"97891840\", alpha=\"0.01\", expect_size=\"39156736\"] \n  21 -> 22 [size =\"39156736\"]\n  22 [size=\"106895360\", alpha=\"0.17\", expect_size=\"42758144\"] \n  22 -> 23 [size =\"42758144\"]\n  23 [size=\"58749440\", alpha=\"0.15\", expect_size=\"23499776\"] \n  23 -> 24 [size =\"23499776\"]\n  24 [size=\"119418880\", alpha=\"0.17\", expect_size=\"47767552\"] \n  24 -> 25 [size =\"47767552\"]\n  25 [size=\"78400000\", alpha=\"0.19\", expect_size=\"31360000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17057792\", alpha=\"0.16\", expect_size=\"8528896\"] \n  1 -> 2 [size =\"8528896\"]\n  2 [size=\"60463104\", alpha=\"0.05\", expect_size=\"30231552\"] \n  2 -> 3 [size =\"30231552\"]\n  3 [size=\"102766592\", alpha=\"0.13\", expect_size=\"51383296\"] \n  3 -> 4 [size =\"51383296\"]\n  4 [size=\"17057792\", alpha=\"0.14\", expect_size=\"8528896\"] \n  4 -> 5 [size =\"8528896\"]\n  5 [size=\"42199040\", alpha=\"0.01\", expect_size=\"21099520\"] \n  5 -> 6 [size =\"21099520\"]\n  6 [size=\"70131712\", alpha=\"0.07\", expect_size=\"35065856\"] \n  6 -> 7 [size =\"35065856\"]\n  7 [size=\"74817536\", alpha=\"0.02\", expect_size=\"37408768\"] \n  7 -> 8 [size =\"37408768\"]\n  8 [size=\"70914048\", alpha=\"0.02\", expect_size=\"35457024\"] \n  8 -> 9 [size =\"35457024\"]\n  9 [size=\"62644224\", alpha=\"0.08\", expect_size=\"31322112\"] \n  9 -> 10 [size =\"31322112\"]\n  10 [size=\"33513472\", alpha=\"0.17\", expect_size=\"16756736\"] \n  10 -> 11 [size =\"16756736\"]\n  11 [size=\"69040128\", alpha=\"0.03\", expect_size=\"34520064\"] \n  11 -> 12 [size =\"34520064\"]\n  12 [size=\"48246784\", alpha=\"0.03\", expect_size=\"24123392\"] \n  12 -> 13 [size =\"24123392\"]\n  13 [size=\"71917568\", alpha=\"0.05\", expect_size=\"35958784\"] \n  13 -> 14 [size =\"35958784\"]\n  14 [size=\"37443584\", alpha=\"0.07\", expect_size=\"18721792\"] \n  14 -> 15 [size =\"18721792\"]\n  15 [size=\"103872512\", alpha=\"0.10\", expect_size=\"51936256\"] \n  15 -> 16 [size =\"51936256\"]\n  16 [size=\"13893632\", alpha=\"0.00\", expect_size=\"6946816\"] \n  16 -> 17 [size =\"6946816\"]\n  17 [size=\"45787136\", alpha=\"0.12\", expect_size=\"22893568\"] \n  17 -> 18 [size =\"22893568\"]\n  18 [size=\"54996992\", alpha=\"0.05\", expect_size=\"27498496\"] \n  18 -> 19 [size =\"27498496\"]\n  19 [size=\"64655360\", alpha=\"0.18\", expect_size=\"32327680\"] \n  19 -> 20 [size =\"32327680\"]\n  20 [size=\"103974912\", alpha=\"0.20\", expect_size=\"51987456\"] \n  20 -> 21 [size =\"51987456\"]\n  21 [size=\"87658496\", alpha=\"0.03\", expect_size=\"43829248\"] \n  21 -> 22 [size =\"43829248\"]\n  22 [size=\"104067072\", alpha=\"0.18\", expect_size=\"52033536\"] \n  22 -> 23 [size =\"52033536\"]\n  23 [size=\"22605824\", alpha=\"0.11\", expect_size=\"11302912\"] \n  23 -> 24 [size =\"11302912\"]\n  24 [size=\"45850624\", alpha=\"0.07\", expect_size=\"22925312\"] \n  24 -> 25 [size =\"22925312\"]\n  25 [size=\"81141760\", alpha=\"0.08\", expect_size=\"40570880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171728213\", alpha=\"0.05\", expect_size=\"51518464\"] \n  1 -> 2 [size =\"51518464\"]\n  2 [size=\"18906453\", alpha=\"0.07\", expect_size=\"5671936\"] \n  2 -> 3 [size =\"5671936\"]\n  3 [size=\"57064107\", alpha=\"0.05\", expect_size=\"17119232\"] \n  3 -> 4 [size =\"17119232\"]\n  4 [size=\"166379520\", alpha=\"0.08\", expect_size=\"49913856\"] \n  4 -> 5 [size =\"49913856\"]\n  5 [size=\"99437227\", alpha=\"0.16\", expect_size=\"29831168\"] \n  5 -> 6 [size =\"29831168\"]\n  6 [size=\"134423893\", alpha=\"0.18\", expect_size=\"40327168\"] \n  6 -> 7 [size =\"40327168\"]\n  7 [size=\"65150293\", alpha=\"0.02\", expect_size=\"19545088\"] \n  7 -> 8 [size =\"19545088\"]\n  8 [size=\"27467093\", alpha=\"0.19\", expect_size=\"8240128\"] \n  8 -> 9 [size =\"8240128\"]\n  9 [size=\"166280533\", alpha=\"0.12\", expect_size=\"49884160\"] \n  9 -> 10 [size =\"49884160\"]\n  10 [size=\"121774080\", alpha=\"0.08\", expect_size=\"36532224\"] \n  10 -> 11 [size =\"36532224\"]\n  11 [size=\"47769600\", alpha=\"0.16\", expect_size=\"14330880\"] \n  11 -> 12 [size =\"14330880\"]\n  12 [size=\"89101653\", alpha=\"0.17\", expect_size=\"26730496\"] \n  12 -> 13 [size =\"26730496\"]\n  13 [size=\"142141440\", alpha=\"0.02\", expect_size=\"42642432\"] \n  13 -> 14 [size =\"42642432\"]\n  14 [size=\"21818027\", alpha=\"0.01\", expect_size=\"6545408\"] \n  14 -> 15 [size =\"6545408\"]\n  15 [size=\"86196907\", alpha=\"0.19\", expect_size=\"25859072\"] \n  15 -> 16 [size =\"25859072\"]\n  16 [size=\"51715413\", alpha=\"0.17\", expect_size=\"15514624\"] \n  16 -> 17 [size =\"15514624\"]\n  17 [size=\"33416533\", alpha=\"0.11\", expect_size=\"10024960\"] \n  17 -> 18 [size =\"10024960\"]\n  18 [size=\"49786880\", alpha=\"0.05\", expect_size=\"14936064\"] \n  18 -> 19 [size =\"14936064\"]\n  19 [size=\"39396693\", alpha=\"0.05\", expect_size=\"11819008\"] \n  19 -> 20 [size =\"11819008\"]\n  20 [size=\"136154453\", alpha=\"0.15\", expect_size=\"40846336\"] \n  20 -> 21 [size =\"40846336\"]\n  21 [size=\"39905280\", alpha=\"0.04\", expect_size=\"11971584\"] \n  21 -> 22 [size =\"11971584\"]\n  22 [size=\"164584107\", alpha=\"0.14\", expect_size=\"49375232\"] \n  22 -> 23 [size =\"49375232\"]\n  23 [size=\"138864640\", alpha=\"0.09\", expect_size=\"41659392\"] \n  23 -> 24 [size =\"41659392\"]\n  24 [size=\"153903787\", alpha=\"0.03\", expect_size=\"46171136\"] \n  24 -> 25 [size =\"46171136\"]\n  25 [size=\"161317547\", alpha=\"0.07\", expect_size=\"48395264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36256427\", alpha=\"0.11\", expect_size=\"10876928\"] \n  1 -> 9 [size =\"10876928\"]\n  2 [size=\"172663467\", alpha=\"0.10\", expect_size=\"51799040\"] \n  3 [size=\"85381120\", alpha=\"0.18\", expect_size=\"25614336\"] \n  3 -> 9 [size =\"25614336\"]\n  3 -> 10 [size =\"25614336\"]\n  3 -> 12 [size =\"25614336\"]\n  4 [size=\"50455893\", alpha=\"0.17\", expect_size=\"15136768\"] \n  4 -> 11 [size =\"15136768\"]\n  5 [size=\"153634133\", alpha=\"0.03\", expect_size=\"46090240\"] \n  5 -> 11 [size =\"46090240\"]\n  6 [size=\"70106453\", alpha=\"0.08\", expect_size=\"21031936\"] \n  6 -> 9 [size =\"21031936\"]\n  6 -> 10 [size =\"21031936\"]\n  7 [size=\"21473280\", alpha=\"0.09\", expect_size=\"6441984\"] \n  7 -> 9 [size =\"6441984\"]\n  7 -> 10 [size =\"6441984\"]\n  8 [size=\"149015893\", alpha=\"0.14\", expect_size=\"44704768\"] \n  8 -> 9 [size =\"44704768\"]\n  9 [size=\"125347840\", alpha=\"0.03\", expect_size=\"37604352\"] \n  9 -> 13 [size =\"37604352\"]\n  9 -> 14 [size =\"37604352\"]\n  9 -> 16 [size =\"37604352\"]\n  10 [size=\"132259840\", alpha=\"0.10\", expect_size=\"39677952\"] \n  10 -> 13 [size =\"39677952\"]\n  10 -> 14 [size =\"39677952\"]\n  10 -> 15 [size =\"39677952\"]\n  11 [size=\"142226773\", alpha=\"0.16\", expect_size=\"42668032\"] \n  11 -> 15 [size =\"42668032\"]\n  11 -> 16 [size =\"42668032\"]\n  12 [size=\"71533227\", alpha=\"0.04\", expect_size=\"21459968\"] \n  12 -> 16 [size =\"21459968\"]\n  13 [size=\"152128853\", alpha=\"0.01\", expect_size=\"45638656\"] \n  13 -> 17 [size =\"45638656\"]\n  13 -> 19 [size =\"45638656\"]\n  13 -> 21 [size =\"45638656\"]\n  13 -> 22 [size =\"45638656\"]\n  14 [size=\"138526720\", alpha=\"0.05\", expect_size=\"41558016\"] \n  14 -> 17 [size =\"41558016\"]\n  14 -> 21 [size =\"41558016\"]\n  14 -> 23 [size =\"41558016\"]\n  15 [size=\"112762880\", alpha=\"0.10\", expect_size=\"33828864\"] \n  15 -> 18 [size =\"33828864\"]\n  15 -> 19 [size =\"33828864\"]\n  15 -> 20 [size =\"33828864\"]\n  15 -> 23 [size =\"33828864\"]\n  16 [size=\"139359573\", alpha=\"0.17\", expect_size=\"41807872\"] \n  16 -> 22 [size =\"41807872\"]\n  17 [size=\"44840960\", alpha=\"0.17\", expect_size=\"13452288\"] \n  17 -> 24 [size =\"13452288\"]\n  18 [size=\"115220480\", alpha=\"0.10\", expect_size=\"34566144\"] \n  19 [size=\"68608000\", alpha=\"0.02\", expect_size=\"20582400\"] \n  20 [size=\"94498133\", alpha=\"0.14\", expect_size=\"28349440\"] \n  20 -> 24 [size =\"28349440\"]\n  20 -> 25 [size =\"28349440\"]\n  21 [size=\"173417813\", alpha=\"0.08\", expect_size=\"52025344\"] \n  21 -> 24 [size =\"52025344\"]\n  22 [size=\"142049280\", alpha=\"0.02\", expect_size=\"42614784\"] \n  22 -> 25 [size =\"42614784\"]\n  23 [size=\"172762453\", alpha=\"0.04\", expect_size=\"51828736\"] \n  23 -> 24 [size =\"51828736\"]\n  23 -> 25 [size =\"51828736\"]\n  24 [size=\"25074347\", alpha=\"0.11\", expect_size=\"7522304\"] \n  25 [size=\"63631360\", alpha=\"0.15\", expect_size=\"19089408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111912960\", alpha=\"0.18\", expect_size=\"33573888\"] \n  1 -> 3 [size =\"33573888\"]\n  1 -> 4 [size =\"33573888\"]\n  2 [size=\"42250240\", alpha=\"0.19\", expect_size=\"12675072\"] \n  2 -> 3 [size =\"12675072\"]\n  2 -> 4 [size =\"12675072\"]\n  3 [size=\"164809387\", alpha=\"0.05\", expect_size=\"49442816\"] \n  3 -> 5 [size =\"49442816\"]\n  4 [size=\"88487253\", alpha=\"0.05\", expect_size=\"26546176\"] \n  4 -> 5 [size =\"26546176\"]\n  5 [size=\"25231360\", alpha=\"0.06\", expect_size=\"7569408\"] \n  5 -> 6 [size =\"7569408\"]\n  5 -> 7 [size =\"7569408\"]\n  6 [size=\"65744213\", alpha=\"0.03\", expect_size=\"19723264\"] \n  6 -> 8 [size =\"19723264\"]\n  7 [size=\"82974720\", alpha=\"0.12\", expect_size=\"24892416\"] \n  7 -> 8 [size =\"24892416\"]\n  8 [size=\"170891947\", alpha=\"0.05\", expect_size=\"51267584\"] \n  8 -> 9 [size =\"51267584\"]\n  8 -> 10 [size =\"51267584\"]\n  9 [size=\"107205973\", alpha=\"0.05\", expect_size=\"32161792\"] \n  9 -> 11 [size =\"32161792\"]\n  9 -> 12 [size =\"32161792\"]\n  10 [size=\"146909867\", alpha=\"0.16\", expect_size=\"44072960\"] \n  10 -> 11 [size =\"44072960\"]\n  10 -> 12 [size =\"44072960\"]\n  11 [size=\"19370667\", alpha=\"0.20\", expect_size=\"5811200\"] \n  11 -> 14 [size =\"5811200\"]\n  12 [size=\"159303680\", alpha=\"0.09\", expect_size=\"47791104\"] \n  12 -> 13 [size =\"47791104\"]\n  13 [size=\"155187200\", alpha=\"0.15\", expect_size=\"46556160\"] \n  13 -> 15 [size =\"46556160\"]\n  13 -> 16 [size =\"46556160\"]\n  14 [size=\"38952960\", alpha=\"0.13\", expect_size=\"11685888\"] \n  14 -> 16 [size =\"11685888\"]\n  15 [size=\"77936640\", alpha=\"0.11\", expect_size=\"23380992\"] \n  15 -> 17 [size =\"23380992\"]\n  15 -> 18 [size =\"23380992\"]\n  16 [size=\"125736960\", alpha=\"0.02\", expect_size=\"37721088\"] \n  16 -> 17 [size =\"37721088\"]\n  16 -> 18 [size =\"37721088\"]\n  17 [size=\"152808107\", alpha=\"0.13\", expect_size=\"45842432\"] \n  17 -> 19 [size =\"45842432\"]\n  18 [size=\"90094933\", alpha=\"0.14\", expect_size=\"27028480\"] \n  18 -> 19 [size =\"27028480\"]\n  19 [size=\"127726933\", alpha=\"0.06\", expect_size=\"38318080\"] \n  19 -> 20 [size =\"38318080\"]\n  20 [size=\"169813333\", alpha=\"0.12\", expect_size=\"50944000\"] \n  20 -> 21 [size =\"50944000\"]\n  20 -> 22 [size =\"50944000\"]\n  21 [size=\"135379627\", alpha=\"0.09\", expect_size=\"40613888\"] \n  21 -> 24 [size =\"40613888\"]\n  22 [size=\"131662507\", alpha=\"0.10\", expect_size=\"39498752\"] \n  22 -> 23 [size =\"39498752\"]\n  22 -> 24 [size =\"39498752\"]\n  23 [size=\"47421440\", alpha=\"0.10\", expect_size=\"14226432\"] \n  23 -> 25 [size =\"14226432\"]\n  24 [size=\"167529813\", alpha=\"0.18\", expect_size=\"50258944\"] \n  24 -> 25 [size =\"50258944\"]\n  25 [size=\"114575360\", alpha=\"0.08\", expect_size=\"34372608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28213248\", alpha=\"0.20\", expect_size=\"14106624\"] \n  1 -> 3 [size =\"14106624\"]\n  2 [size=\"76275712\", alpha=\"0.18\", expect_size=\"38137856\"] \n  3 [size=\"93675520\", alpha=\"0.07\", expect_size=\"46837760\"] \n  3 -> 4 [size =\"46837760\"]\n  4 [size=\"46852096\", alpha=\"0.03\", expect_size=\"23426048\"] \n  4 -> 5 [size =\"23426048\"]\n  5 [size=\"34535424\", alpha=\"0.18\", expect_size=\"17267712\"] \n  5 -> 6 [size =\"17267712\"]\n  5 -> 7 [size =\"17267712\"]\n  6 [size=\"44802048\", alpha=\"0.07\", expect_size=\"22401024\"] \n  6 -> 8 [size =\"22401024\"]\n  6 -> 9 [size =\"22401024\"]\n  7 [size=\"19589120\", alpha=\"0.09\", expect_size=\"9794560\"] \n  8 [size=\"21938176\", alpha=\"0.06\", expect_size=\"10969088\"] \n  9 [size=\"74678272\", alpha=\"0.13\", expect_size=\"37339136\"] \n  9 -> 10 [size =\"37339136\"]\n  10 [size=\"90851328\", alpha=\"0.13\", expect_size=\"45425664\"] \n  10 -> 11 [size =\"45425664\"]\n  11 [size=\"19431424\", alpha=\"0.18\", expect_size=\"9715712\"] \n  11 -> 12 [size =\"9715712\"]\n  11 -> 13 [size =\"9715712\"]\n  12 [size=\"17289216\", alpha=\"0.15\", expect_size=\"8644608\"] \n  13 [size=\"103378944\", alpha=\"0.18\", expect_size=\"51689472\"] \n  13 -> 14 [size =\"51689472\"]\n  13 -> 15 [size =\"51689472\"]\n  14 [size=\"41400320\", alpha=\"0.11\", expect_size=\"20700160\"] \n  14 -> 16 [size =\"20700160\"]\n  14 -> 17 [size =\"20700160\"]\n  15 [size=\"57047040\", alpha=\"0.14\", expect_size=\"28523520\"] \n  16 [size=\"49393664\", alpha=\"0.18\", expect_size=\"24696832\"] \n  16 -> 19 [size =\"24696832\"]\n  17 [size=\"83083264\", alpha=\"0.16\", expect_size=\"41541632\"] \n  17 -> 18 [size =\"41541632\"]\n  18 [size=\"32264192\", alpha=\"0.05\", expect_size=\"16132096\"] \n  19 [size=\"58724352\", alpha=\"0.08\", expect_size=\"29362176\"] \n  19 -> 20 [size =\"29362176\"]\n  20 [size=\"26058752\", alpha=\"0.15\", expect_size=\"13029376\"] \n  20 -> 21 [size =\"13029376\"]\n  21 [size=\"86243328\", alpha=\"0.05\", expect_size=\"43121664\"] \n  21 -> 22 [size =\"43121664\"]\n  22 [size=\"74977280\", alpha=\"0.10\", expect_size=\"37488640\"] \n  22 -> 23 [size =\"37488640\"]\n  22 -> 24 [size =\"37488640\"]\n  23 [size=\"50171904\", alpha=\"0.12\", expect_size=\"25085952\"] \n  23 -> 25 [size =\"25085952\"]\n  24 [size=\"39428096\", alpha=\"0.02\", expect_size=\"19714048\"] \n  25 [size=\"89694208\", alpha=\"0.16\", expect_size=\"44847104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65126400\", alpha=\"0.13\", expect_size=\"32563200\"] \n  1 -> 9 [size =\"32563200\"]\n  1 -> 10 [size =\"32563200\"]\n  1 -> 11 [size =\"32563200\"]\n  1 -> 12 [size =\"32563200\"]\n  1 -> 15 [size =\"32563200\"]\n  1 -> 16 [size =\"32563200\"]\n  2 [size=\"41377792\", alpha=\"0.03\", expect_size=\"20688896\"] \n  2 -> 11 [size =\"20688896\"]\n  2 -> 16 [size =\"20688896\"]\n  3 [size=\"103837696\", alpha=\"0.11\", expect_size=\"51918848\"] \n  3 -> 16 [size =\"51918848\"]\n  4 [size=\"74401792\", alpha=\"0.13\", expect_size=\"37200896\"] \n  4 -> 13 [size =\"37200896\"]\n  4 -> 16 [size =\"37200896\"]\n  4 -> 17 [size =\"37200896\"]\n  5 [size=\"48668672\", alpha=\"0.14\", expect_size=\"24334336\"] \n  5 -> 9 [size =\"24334336\"]\n  5 -> 10 [size =\"24334336\"]\n  5 -> 12 [size =\"24334336\"]\n  5 -> 17 [size =\"24334336\"]\n  6 [size=\"22867968\", alpha=\"0.07\", expect_size=\"11433984\"] \n  6 -> 10 [size =\"11433984\"]\n  6 -> 10 [size =\"11433984\"]\n  6 -> 11 [size =\"11433984\"]\n  6 -> 12 [size =\"11433984\"]\n  6 -> 15 [size =\"11433984\"]\n  6 -> 17 [size =\"11433984\"]\n  7 [size=\"54595584\", alpha=\"0.03\", expect_size=\"27297792\"] \n  7 -> 12 [size =\"27297792\"]\n  7 -> 14 [size =\"27297792\"]\n  7 -> 15 [size =\"27297792\"]\n  7 -> 16 [size =\"27297792\"]\n  7 -> 17 [size =\"27297792\"]\n  8 [size=\"68169728\", alpha=\"0.16\", expect_size=\"34084864\"] \n  8 -> 11 [size =\"34084864\"]\n  8 -> 12 [size =\"34084864\"]\n  8 -> 14 [size =\"34084864\"]\n  8 -> 16 [size =\"34084864\"]\n  9 [size=\"14379008\", alpha=\"0.18\", expect_size=\"7189504\"] \n  9 -> 21 [size =\"7189504\"]\n  9 -> 24 [size =\"7189504\"]\n  10 [size=\"95854592\", alpha=\"0.17\", expect_size=\"47927296\"] \n  10 -> 24 [size =\"47927296\"]\n  10 -> 24 [size =\"47927296\"]\n  11 [size=\"60596224\", alpha=\"0.19\", expect_size=\"30298112\"] \n  11 -> 19 [size =\"30298112\"]\n  11 -> 20 [size =\"30298112\"]\n  11 -> 21 [size =\"30298112\"]\n  11 -> 24 [size =\"30298112\"]\n  11 -> 25 [size =\"30298112\"]\n  12 [size=\"29208576\", alpha=\"0.11\", expect_size=\"14604288\"] \n  12 -> 18 [size =\"14604288\"]\n  12 -> 21 [size =\"14604288\"]\n  12 -> 23 [size =\"14604288\"]\n  12 -> 25 [size =\"14604288\"]\n  13 [size=\"41265152\", alpha=\"0.03\", expect_size=\"20632576\"] \n  13 -> 18 [size =\"20632576\"]\n  13 -> 21 [size =\"20632576\"]\n  14 [size=\"94881792\", alpha=\"0.18\", expect_size=\"47440896\"] \n  14 -> 19 [size =\"47440896\"]\n  15 [size=\"62279680\", alpha=\"0.10\", expect_size=\"31139840\"] \n  15 -> 19 [size =\"31139840\"]\n  15 -> 20 [size =\"31139840\"]\n  15 -> 21 [size =\"31139840\"]\n  15 -> 24 [size =\"31139840\"]\n  16 [size=\"35831808\", alpha=\"0.06\", expect_size=\"17915904\"] \n  16 -> 18 [size =\"17915904\"]\n  16 -> 20 [size =\"17915904\"]\n  16 -> 24 [size =\"17915904\"]\n  17 [size=\"68483072\", alpha=\"0.03\", expect_size=\"34241536\"] \n  17 -> 19 [size =\"34241536\"]\n  17 -> 21 [size =\"34241536\"]\n  17 -> 22 [size =\"34241536\"]\n  17 -> 24 [size =\"34241536\"]\n  18 [size=\"80631808\", alpha=\"0.19\", expect_size=\"40315904\"] \n  19 [size=\"62785536\", alpha=\"0.16\", expect_size=\"31392768\"] \n  20 [size=\"52377600\", alpha=\"0.02\", expect_size=\"26188800\"] \n  21 [size=\"35960832\", alpha=\"0.01\", expect_size=\"17980416\"] \n  22 [size=\"29212672\", alpha=\"0.05\", expect_size=\"14606336\"] \n  23 [size=\"80666624\", alpha=\"0.10\", expect_size=\"40333312\"] \n  24 [size=\"92475392\", alpha=\"0.08\", expect_size=\"46237696\"] \n  25 [size=\"83267584\", alpha=\"0.14\", expect_size=\"41633792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155422720\", alpha=\"0.05\", expect_size=\"46626816\"] \n  2 [size=\"145288533\", alpha=\"0.02\", expect_size=\"43586560\"] \n  2 -> 3 [size =\"43586560\"]\n  3 [size=\"148415147\", alpha=\"0.10\", expect_size=\"44524544\"] \n  3 -> 4 [size =\"44524544\"]\n  4 [size=\"134236160\", alpha=\"0.02\", expect_size=\"40270848\"] \n  4 -> 5 [size =\"40270848\"]\n  5 [size=\"101283840\", alpha=\"0.17\", expect_size=\"30385152\"] \n  5 -> 6 [size =\"30385152\"]\n  6 [size=\"120524800\", alpha=\"0.07\", expect_size=\"36157440\"] \n  6 -> 7 [size =\"36157440\"]\n  6 -> 8 [size =\"36157440\"]\n  7 [size=\"124569600\", alpha=\"0.00\", expect_size=\"37370880\"] \n  7 -> 9 [size =\"37370880\"]\n  8 [size=\"114138453\", alpha=\"0.03\", expect_size=\"34241536\"] \n  8 -> 9 [size =\"34241536\"]\n  8 -> 10 [size =\"34241536\"]\n  9 [size=\"105267200\", alpha=\"0.11\", expect_size=\"31580160\"] \n  9 -> 11 [size =\"31580160\"]\n  9 -> 12 [size =\"31580160\"]\n  10 [size=\"106898773\", alpha=\"0.13\", expect_size=\"32069632\"] \n  10 -> 11 [size =\"32069632\"]\n  10 -> 12 [size =\"32069632\"]\n  11 [size=\"45540693\", alpha=\"0.18\", expect_size=\"13662208\"] \n  11 -> 13 [size =\"13662208\"]\n  12 [size=\"86988800\", alpha=\"0.15\", expect_size=\"26096640\"] \n  12 -> 13 [size =\"26096640\"]\n  13 [size=\"103877973\", alpha=\"0.01\", expect_size=\"31163392\"] \n  13 -> 14 [size =\"31163392\"]\n  14 [size=\"28825600\", alpha=\"0.12\", expect_size=\"8647680\"] \n  14 -> 15 [size =\"8647680\"]\n  14 -> 16 [size =\"8647680\"]\n  15 [size=\"45257387\", alpha=\"0.01\", expect_size=\"13577216\"] \n  15 -> 18 [size =\"13577216\"]\n  16 [size=\"24524800\", alpha=\"0.11\", expect_size=\"7357440\"] \n  16 -> 17 [size =\"7357440\"]\n  17 [size=\"78103893\", alpha=\"0.15\", expect_size=\"23431168\"] \n  18 [size=\"80994987\", alpha=\"0.05\", expect_size=\"24298496\"] \n  18 -> 19 [size =\"24298496\"]\n  19 [size=\"107011413\", alpha=\"0.15\", expect_size=\"32103424\"] \n  19 -> 20 [size =\"32103424\"]\n  20 [size=\"39028053\", alpha=\"0.18\", expect_size=\"11708416\"] \n  20 -> 21 [size =\"11708416\"]\n  20 -> 22 [size =\"11708416\"]\n  21 [size=\"142987947\", alpha=\"0.18\", expect_size=\"42896384\"] \n  21 -> 23 [size =\"42896384\"]\n  22 [size=\"126941867\", alpha=\"0.14\", expect_size=\"38082560\"] \n  23 [size=\"90678613\", alpha=\"0.08\", expect_size=\"27203584\"] \n  23 -> 24 [size =\"27203584\"]\n  23 -> 25 [size =\"27203584\"]\n  24 [size=\"101741227\", alpha=\"0.16\", expect_size=\"30522368\"] \n  25 [size=\"40639147\", alpha=\"0.14\", expect_size=\"12191744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14123520\", alpha=\"0.10\", expect_size=\"5649408\"] \n  1 -> 2 [size =\"5649408\"]\n  2 [size=\"20784640\", alpha=\"0.17\", expect_size=\"8313856\"] \n  2 -> 3 [size =\"8313856\"]\n  3 [size=\"19901440\", alpha=\"0.14\", expect_size=\"7960576\"] \n  3 -> 4 [size =\"7960576\"]\n  4 [size=\"121280000\", alpha=\"0.10\", expect_size=\"48512000\"] \n  4 -> 5 [size =\"48512000\"]\n  4 -> 6 [size =\"48512000\"]\n  5 [size=\"86069760\", alpha=\"0.15\", expect_size=\"34427904\"] \n  5 -> 7 [size =\"34427904\"]\n  6 [size=\"112998400\", alpha=\"0.15\", expect_size=\"45199360\"] \n  6 -> 7 [size =\"45199360\"]\n  7 [size=\"125401600\", alpha=\"0.19\", expect_size=\"50160640\"] \n  7 -> 8 [size =\"50160640\"]\n  7 -> 9 [size =\"50160640\"]\n  8 [size=\"35061760\", alpha=\"0.11\", expect_size=\"14024704\"] \n  8 -> 10 [size =\"14024704\"]\n  9 [size=\"80680960\", alpha=\"0.08\", expect_size=\"32272384\"] \n  10 [size=\"37240320\", alpha=\"0.18\", expect_size=\"14896128\"] \n  10 -> 11 [size =\"14896128\"]\n  11 [size=\"124695040\", alpha=\"0.10\", expect_size=\"49878016\"] \n  11 -> 12 [size =\"49878016\"]\n  11 -> 13 [size =\"49878016\"]\n  12 [size=\"63680000\", alpha=\"0.04\", expect_size=\"25472000\"] \n  12 -> 14 [size =\"25472000\"]\n  13 [size=\"47380480\", alpha=\"0.09\", expect_size=\"18952192\"] \n  13 -> 14 [size =\"18952192\"]\n  13 -> 15 [size =\"18952192\"]\n  14 [size=\"14333440\", alpha=\"0.10\", expect_size=\"5733376\"] \n  14 -> 16 [size =\"5733376\"]\n  15 [size=\"73922560\", alpha=\"0.14\", expect_size=\"29569024\"] \n  15 -> 16 [size =\"29569024\"]\n  16 [size=\"46274560\", alpha=\"0.03\", expect_size=\"18509824\"] \n  16 -> 17 [size =\"18509824\"]\n  16 -> 18 [size =\"18509824\"]\n  17 [size=\"14873600\", alpha=\"0.02\", expect_size=\"5949440\"] \n  17 -> 20 [size =\"5949440\"]\n  18 [size=\"125493760\", alpha=\"0.15\", expect_size=\"50197504\"] \n  18 -> 19 [size =\"50197504\"]\n  19 [size=\"70417920\", alpha=\"0.07\", expect_size=\"28167168\"] \n  19 -> 21 [size =\"28167168\"]\n  19 -> 22 [size =\"28167168\"]\n  20 [size=\"118758400\", alpha=\"0.05\", expect_size=\"47503360\"] \n  20 -> 22 [size =\"47503360\"]\n  21 [size=\"104256000\", alpha=\"0.04\", expect_size=\"41702400\"] \n  22 [size=\"45114880\", alpha=\"0.04\", expect_size=\"18045952\"] \n  22 -> 23 [size =\"18045952\"]\n  23 [size=\"70842880\", alpha=\"0.05\", expect_size=\"28337152\"] \n  23 -> 24 [size =\"28337152\"]\n  24 [size=\"126668800\", alpha=\"0.04\", expect_size=\"50667520\"] \n  24 -> 25 [size =\"50667520\"]\n  25 [size=\"67950080\", alpha=\"0.16\", expect_size=\"27180032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34019840\", alpha=\"0.10\", expect_size=\"13607936\"] \n  1 -> 2 [size =\"13607936\"]\n  2 [size=\"106137600\", alpha=\"0.19\", expect_size=\"42455040\"] \n  2 -> 3 [size =\"42455040\"]\n  3 [size=\"18496000\", alpha=\"0.02\", expect_size=\"7398400\"] \n  3 -> 4 [size =\"7398400\"]\n  4 [size=\"97917440\", alpha=\"0.07\", expect_size=\"39166976\"] \n  4 -> 5 [size =\"39166976\"]\n  5 [size=\"53670400\", alpha=\"0.10\", expect_size=\"21468160\"] \n  5 -> 6 [size =\"21468160\"]\n  6 [size=\"101273600\", alpha=\"0.17\", expect_size=\"40509440\"] \n  6 -> 7 [size =\"40509440\"]\n  7 [size=\"62699520\", alpha=\"0.09\", expect_size=\"25079808\"] \n  7 -> 8 [size =\"25079808\"]\n  8 [size=\"85079040\", alpha=\"0.09\", expect_size=\"34031616\"] \n  8 -> 9 [size =\"34031616\"]\n  9 [size=\"35737600\", alpha=\"0.13\", expect_size=\"14295040\"] \n  9 -> 10 [size =\"14295040\"]\n  10 [size=\"91161600\", alpha=\"0.12\", expect_size=\"36464640\"] \n  10 -> 11 [size =\"36464640\"]\n  11 [size=\"119075840\", alpha=\"0.19\", expect_size=\"47630336\"] \n  11 -> 12 [size =\"47630336\"]\n  12 [size=\"59069440\", alpha=\"0.07\", expect_size=\"23627776\"] \n  12 -> 13 [size =\"23627776\"]\n  13 [size=\"53327360\", alpha=\"0.16\", expect_size=\"21330944\"] \n  13 -> 14 [size =\"21330944\"]\n  14 [size=\"63178240\", alpha=\"0.09\", expect_size=\"25271296\"] \n  14 -> 15 [size =\"25271296\"]\n  15 [size=\"103997440\", alpha=\"0.14\", expect_size=\"41598976\"] \n  15 -> 16 [size =\"41598976\"]\n  16 [size=\"43878400\", alpha=\"0.12\", expect_size=\"17551360\"] \n  16 -> 17 [size =\"17551360\"]\n  17 [size=\"26754560\", alpha=\"0.20\", expect_size=\"10701824\"] \n  17 -> 18 [size =\"10701824\"]\n  18 [size=\"80033280\", alpha=\"0.18\", expect_size=\"32013312\"] \n  18 -> 19 [size =\"32013312\"]\n  19 [size=\"17958400\", alpha=\"0.18\", expect_size=\"7183360\"] \n  19 -> 20 [size =\"7183360\"]\n  20 [size=\"95682560\", alpha=\"0.04\", expect_size=\"38273024\"] \n  20 -> 21 [size =\"38273024\"]\n  21 [size=\"50393600\", alpha=\"0.14\", expect_size=\"20157440\"] \n  21 -> 22 [size =\"20157440\"]\n  22 [size=\"43717120\", alpha=\"0.19\", expect_size=\"17486848\"] \n  22 -> 23 [size =\"17486848\"]\n  23 [size=\"86625280\", alpha=\"0.06\", expect_size=\"34650112\"] \n  23 -> 24 [size =\"34650112\"]\n  24 [size=\"60492800\", alpha=\"0.06\", expect_size=\"24197120\"] \n  24 -> 25 [size =\"24197120\"]\n  25 [size=\"114434560\", alpha=\"0.14\", expect_size=\"45773824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90163200\", alpha=\"0.08\", expect_size=\"36065280\"] \n  1 -> 2 [size =\"36065280\"]\n  2 [size=\"71424000\", alpha=\"0.04\", expect_size=\"28569600\"] \n  2 -> 3 [size =\"28569600\"]\n  3 [size=\"127787520\", alpha=\"0.09\", expect_size=\"51115008\"] \n  3 -> 4 [size =\"51115008\"]\n  4 [size=\"106355200\", alpha=\"0.03\", expect_size=\"42542080\"] \n  4 -> 5 [size =\"42542080\"]\n  5 [size=\"30018560\", alpha=\"0.19\", expect_size=\"12007424\"] \n  5 -> 6 [size =\"12007424\"]\n  6 [size=\"98447360\", alpha=\"0.03\", expect_size=\"39378944\"] \n  6 -> 7 [size =\"39378944\"]\n  7 [size=\"96606720\", alpha=\"0.04\", expect_size=\"38642688\"] \n  7 -> 8 [size =\"38642688\"]\n  8 [size=\"110725120\", alpha=\"0.06\", expect_size=\"44290048\"] \n  8 -> 9 [size =\"44290048\"]\n  9 [size=\"108520960\", alpha=\"0.13\", expect_size=\"43408384\"] \n  9 -> 10 [size =\"43408384\"]\n  10 [size=\"119649280\", alpha=\"0.17\", expect_size=\"47859712\"] \n  10 -> 11 [size =\"47859712\"]\n  11 [size=\"86067200\", alpha=\"0.12\", expect_size=\"34426880\"] \n  11 -> 12 [size =\"34426880\"]\n  12 [size=\"15997440\", alpha=\"0.14\", expect_size=\"6398976\"] \n  12 -> 13 [size =\"6398976\"]\n  13 [size=\"41006080\", alpha=\"0.12\", expect_size=\"16402432\"] \n  13 -> 14 [size =\"16402432\"]\n  14 [size=\"94722560\", alpha=\"0.03\", expect_size=\"37889024\"] \n  14 -> 15 [size =\"37889024\"]\n  15 [size=\"114373120\", alpha=\"0.07\", expect_size=\"45749248\"] \n  15 -> 16 [size =\"45749248\"]\n  16 [size=\"106142720\", alpha=\"0.14\", expect_size=\"42457088\"] \n  16 -> 17 [size =\"42457088\"]\n  17 [size=\"121300480\", alpha=\"0.14\", expect_size=\"48520192\"] \n  17 -> 18 [size =\"48520192\"]\n  18 [size=\"29324800\", alpha=\"0.11\", expect_size=\"11729920\"] \n  18 -> 19 [size =\"11729920\"]\n  19 [size=\"62937600\", alpha=\"0.17\", expect_size=\"25175040\"] \n  19 -> 20 [size =\"25175040\"]\n  20 [size=\"19440640\", alpha=\"0.18\", expect_size=\"7776256\"] \n  20 -> 21 [size =\"7776256\"]\n  21 [size=\"119726080\", alpha=\"0.12\", expect_size=\"47890432\"] \n  21 -> 22 [size =\"47890432\"]\n  22 [size=\"74882560\", alpha=\"0.15\", expect_size=\"29953024\"] \n  22 -> 23 [size =\"29953024\"]\n  23 [size=\"38868480\", alpha=\"0.18\", expect_size=\"15547392\"] \n  23 -> 24 [size =\"15547392\"]\n  24 [size=\"109025280\", alpha=\"0.17\", expect_size=\"43610112\"] \n  24 -> 25 [size =\"43610112\"]\n  25 [size=\"124633600\", alpha=\"0.19\", expect_size=\"49853440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17739093\", alpha=\"0.01\", expect_size=\"5321728\"] \n  1 -> 13 [size =\"5321728\"]\n  1 -> 14 [size =\"5321728\"]\n  1 -> 16 [size =\"5321728\"]\n  2 [size=\"58951680\", alpha=\"0.15\", expect_size=\"17685504\"] \n  2 -> 12 [size =\"17685504\"]\n  2 -> 14 [size =\"17685504\"]\n  3 [size=\"41925973\", alpha=\"0.06\", expect_size=\"12577792\"] \n  3 -> 10 [size =\"12577792\"]\n  3 -> 11 [size =\"12577792\"]\n  4 [size=\"132618240\", alpha=\"0.11\", expect_size=\"39785472\"] \n  4 -> 9 [size =\"39785472\"]\n  4 -> 14 [size =\"39785472\"]\n  4 -> 16 [size =\"39785472\"]\n  5 [size=\"132396373\", alpha=\"0.07\", expect_size=\"39718912\"] \n  5 -> 10 [size =\"39718912\"]\n  5 -> 13 [size =\"39718912\"]\n  6 [size=\"134772053\", alpha=\"0.04\", expect_size=\"40431616\"] \n  6 -> 11 [size =\"40431616\"]\n  6 -> 16 [size =\"40431616\"]\n  7 [size=\"37853867\", alpha=\"0.03\", expect_size=\"11356160\"] \n  7 -> 10 [size =\"11356160\"]\n  7 -> 11 [size =\"11356160\"]\n  8 [size=\"33174187\", alpha=\"0.06\", expect_size=\"9952256\"] \n  8 -> 14 [size =\"9952256\"]\n  8 -> 15 [size =\"9952256\"]\n  8 -> 16 [size =\"9952256\"]\n  9 [size=\"122101760\", alpha=\"0.09\", expect_size=\"36630528\"] \n  9 -> 17 [size =\"36630528\"]\n  9 -> 18 [size =\"36630528\"]\n  9 -> 19 [size =\"36630528\"]\n  9 -> 20 [size =\"36630528\"]\n  9 -> 21 [size =\"36630528\"]\n  9 -> 22 [size =\"36630528\"]\n  10 [size=\"152275627\", alpha=\"0.15\", expect_size=\"45682688\"] \n  10 -> 17 [size =\"45682688\"]\n  10 -> 21 [size =\"45682688\"]\n  11 [size=\"145237333\", alpha=\"0.08\", expect_size=\"43571200\"] \n  11 -> 19 [size =\"43571200\"]\n  11 -> 20 [size =\"43571200\"]\n  11 -> 23 [size =\"43571200\"]\n  12 [size=\"156398933\", alpha=\"0.16\", expect_size=\"46919680\"] \n  12 -> 17 [size =\"46919680\"]\n  12 -> 18 [size =\"46919680\"]\n  12 -> 19 [size =\"46919680\"]\n  12 -> 22 [size =\"46919680\"]\n  12 -> 24 [size =\"46919680\"]\n  13 [size=\"116234240\", alpha=\"0.06\", expect_size=\"34870272\"] \n  13 -> 23 [size =\"34870272\"]\n  14 [size=\"160464213\", alpha=\"0.17\", expect_size=\"48139264\"] \n  14 -> 19 [size =\"48139264\"]\n  14 -> 20 [size =\"48139264\"]\n  15 [size=\"86845440\", alpha=\"0.09\", expect_size=\"26053632\"] \n  15 -> 20 [size =\"26053632\"]\n  15 -> 23 [size =\"26053632\"]\n  15 -> 24 [size =\"26053632\"]\n  16 [size=\"143363413\", alpha=\"0.19\", expect_size=\"43009024\"] \n  16 -> 18 [size =\"43009024\"]\n  16 -> 21 [size =\"43009024\"]\n  16 -> 22 [size =\"43009024\"]\n  16 -> 23 [size =\"43009024\"]\n  16 -> 24 [size =\"43009024\"]\n  17 [size=\"173663573\", alpha=\"0.18\", expect_size=\"52099072\"] \n  17 -> 25 [size =\"52099072\"]\n  18 [size=\"41895253\", alpha=\"0.11\", expect_size=\"12568576\"] \n  18 -> 25 [size =\"12568576\"]\n  19 [size=\"86272000\", alpha=\"0.15\", expect_size=\"25881600\"] \n  19 -> 25 [size =\"25881600\"]\n  20 [size=\"153279147\", alpha=\"0.01\", expect_size=\"45983744\"] \n  21 [size=\"117234347\", alpha=\"0.08\", expect_size=\"35170304\"] \n  22 [size=\"25856000\", alpha=\"0.00\", expect_size=\"7756800\"] \n  23 [size=\"149821440\", alpha=\"0.15\", expect_size=\"44946432\"] \n  24 [size=\"40284160\", alpha=\"0.05\", expect_size=\"12085248\"] \n  24 -> 25 [size =\"12085248\"]\n  25 [size=\"19950933\", alpha=\"0.09\", expect_size=\"5985280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53233664\", alpha=\"0.07\", expect_size=\"26616832\"] \n  1 -> 18 [size =\"26616832\"]\n  1 -> 22 [size =\"26616832\"]\n  1 -> 23 [size =\"26616832\"]\n  2 [size=\"19294208\", alpha=\"0.07\", expect_size=\"9647104\"] \n  2 -> 18 [size =\"9647104\"]\n  2 -> 20 [size =\"9647104\"]\n  2 -> 23 [size =\"9647104\"]\n  3 [size=\"56188928\", alpha=\"0.14\", expect_size=\"28094464\"] \n  3 -> 18 [size =\"28094464\"]\n  3 -> 21 [size =\"28094464\"]\n  3 -> 24 [size =\"28094464\"]\n  4 [size=\"42973184\", alpha=\"0.17\", expect_size=\"21486592\"] \n  4 -> 18 [size =\"21486592\"]\n  4 -> 20 [size =\"21486592\"]\n  4 -> 21 [size =\"21486592\"]\n  5 [size=\"62988288\", alpha=\"0.02\", expect_size=\"31494144\"] \n  5 -> 20 [size =\"31494144\"]\n  5 -> 23 [size =\"31494144\"]\n  5 -> 24 [size =\"31494144\"]\n  6 [size=\"21757952\", alpha=\"0.11\", expect_size=\"10878976\"] \n  6 -> 24 [size =\"10878976\"]\n  7 [size=\"23035904\", alpha=\"0.11\", expect_size=\"11517952\"] \n  7 -> 19 [size =\"11517952\"]\n  8 [size=\"76548096\", alpha=\"0.11\", expect_size=\"38274048\"] \n  9 [size=\"20363264\", alpha=\"0.07\", expect_size=\"10181632\"] \n  9 -> 20 [size =\"10181632\"]\n  9 -> 21 [size =\"10181632\"]\n  10 [size=\"41168896\", alpha=\"0.15\", expect_size=\"20584448\"] \n  10 -> 21 [size =\"20584448\"]\n  11 [size=\"86118400\", alpha=\"0.07\", expect_size=\"43059200\"] \n  11 -> 19 [size =\"43059200\"]\n  11 -> 21 [size =\"43059200\"]\n  11 -> 24 [size =\"43059200\"]\n  12 [size=\"26867712\", alpha=\"0.13\", expect_size=\"13433856\"] \n  12 -> 18 [size =\"13433856\"]\n  12 -> 23 [size =\"13433856\"]\n  13 [size=\"60510208\", alpha=\"0.12\", expect_size=\"30255104\"] \n  13 -> 23 [size =\"30255104\"]\n  13 -> 24 [size =\"30255104\"]\n  13 -> 25 [size =\"30255104\"]\n  14 [size=\"30076928\", alpha=\"0.03\", expect_size=\"15038464\"] \n  14 -> 20 [size =\"15038464\"]\n  14 -> 21 [size =\"15038464\"]\n  14 -> 22 [size =\"15038464\"]\n  14 -> 25 [size =\"15038464\"]\n  15 [size=\"14897152\", alpha=\"0.02\", expect_size=\"7448576\"] \n  15 -> 18 [size =\"7448576\"]\n  15 -> 20 [size =\"7448576\"]\n  15 -> 21 [size =\"7448576\"]\n  15 -> 22 [size =\"7448576\"]\n  15 -> 23 [size =\"7448576\"]\n  16 [size=\"24139776\", alpha=\"0.17\", expect_size=\"12069888\"] \n  16 -> 18 [size =\"12069888\"]\n  16 -> 21 [size =\"12069888\"]\n  16 -> 23 [size =\"12069888\"]\n  17 [size=\"78319616\", alpha=\"0.04\", expect_size=\"39159808\"] \n  17 -> 18 [size =\"39159808\"]\n  17 -> 23 [size =\"39159808\"]\n  18 [size=\"34967552\", alpha=\"0.06\", expect_size=\"17483776\"] \n  19 [size=\"88262656\", alpha=\"0.20\", expect_size=\"44131328\"] \n  20 [size=\"27641856\", alpha=\"0.13\", expect_size=\"13820928\"] \n  21 [size=\"100071424\", alpha=\"0.16\", expect_size=\"50035712\"] \n  22 [size=\"40103936\", alpha=\"0.00\", expect_size=\"20051968\"] \n  23 [size=\"102342656\", alpha=\"0.14\", expect_size=\"51171328\"] \n  24 [size=\"62330880\", alpha=\"0.15\", expect_size=\"31165440\"] \n  25 [size=\"77711360\", alpha=\"0.07\", expect_size=\"38855680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32505173\", alpha=\"0.04\", expect_size=\"9751552\"] \n  1 -> 4 [size =\"9751552\"]\n  2 [size=\"122613760\", alpha=\"0.09\", expect_size=\"36784128\"] \n  2 -> 3 [size =\"36784128\"]\n  2 -> 5 [size =\"36784128\"]\n  3 [size=\"23794347\", alpha=\"0.19\", expect_size=\"7138304\"] \n  3 -> 7 [size =\"7138304\"]\n  4 [size=\"40908800\", alpha=\"0.08\", expect_size=\"12272640\"] \n  4 -> 6 [size =\"12272640\"]\n  5 [size=\"140038827\", alpha=\"0.09\", expect_size=\"42011648\"] \n  5 -> 6 [size =\"42011648\"]\n  6 [size=\"87391573\", alpha=\"0.01\", expect_size=\"26217472\"] \n  6 -> 10 [size =\"26217472\"]\n  7 [size=\"100440747\", alpha=\"0.11\", expect_size=\"30132224\"] \n  7 -> 8 [size =\"30132224\"]\n  7 -> 9 [size =\"30132224\"]\n  7 -> 11 [size =\"30132224\"]\n  8 [size=\"168075947\", alpha=\"0.14\", expect_size=\"50422784\"] \n  8 -> 14 [size =\"50422784\"]\n  8 -> 15 [size =\"50422784\"]\n  9 [size=\"58651307\", alpha=\"0.09\", expect_size=\"17595392\"] \n  9 -> 12 [size =\"17595392\"]\n  9 -> 15 [size =\"17595392\"]\n  10 [size=\"18176000\", alpha=\"0.19\", expect_size=\"5452800\"] \n  10 -> 13 [size =\"5452800\"]\n  11 [size=\"167553707\", alpha=\"0.11\", expect_size=\"50266112\"] \n  12 [size=\"41799680\", alpha=\"0.19\", expect_size=\"12539904\"] \n  13 [size=\"112237227\", alpha=\"0.16\", expect_size=\"33671168\"] \n  13 -> 17 [size =\"33671168\"]\n  14 [size=\"107130880\", alpha=\"0.19\", expect_size=\"32139264\"] \n  14 -> 16 [size =\"32139264\"]\n  14 -> 17 [size =\"32139264\"]\n  15 [size=\"170949973\", alpha=\"0.07\", expect_size=\"51284992\"] \n  15 -> 16 [size =\"51284992\"]\n  16 [size=\"85387947\", alpha=\"0.19\", expect_size=\"25616384\"] \n  16 -> 19 [size =\"25616384\"]\n  16 -> 21 [size =\"25616384\"]\n  17 [size=\"90924373\", alpha=\"0.01\", expect_size=\"27277312\"] \n  17 -> 18 [size =\"27277312\"]\n  17 -> 20 [size =\"27277312\"]\n  18 [size=\"21234347\", alpha=\"0.19\", expect_size=\"6370304\"] \n  18 -> 22 [size =\"6370304\"]\n  18 -> 23 [size =\"6370304\"]\n  19 [size=\"129170773\", alpha=\"0.18\", expect_size=\"38751232\"] \n  19 -> 23 [size =\"38751232\"]\n  20 [size=\"38970027\", alpha=\"0.19\", expect_size=\"11691008\"] \n  20 -> 22 [size =\"11691008\"]\n  20 -> 25 [size =\"11691008\"]\n  21 [size=\"30621013\", alpha=\"0.00\", expect_size=\"9186304\"] \n  21 -> 24 [size =\"9186304\"]\n  22 [size=\"114998613\", alpha=\"0.16\", expect_size=\"34499584\"] \n  23 [size=\"104017920\", alpha=\"0.12\", expect_size=\"31205376\"] \n  24 [size=\"73994240\", alpha=\"0.11\", expect_size=\"22198272\"] \n  25 [size=\"66341547\", alpha=\"0.06\", expect_size=\"19902464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79052800\", alpha=\"0.11\", expect_size=\"39526400\"] \n  1 -> 2 [size =\"39526400\"]\n  1 -> 3 [size =\"39526400\"]\n  2 [size=\"44253184\", alpha=\"0.11\", expect_size=\"22126592\"] \n  2 -> 4 [size =\"22126592\"]\n  3 [size=\"56619008\", alpha=\"0.09\", expect_size=\"28309504\"] \n  3 -> 4 [size =\"28309504\"]\n  4 [size=\"32720896\", alpha=\"0.03\", expect_size=\"16360448\"] \n  4 -> 5 [size =\"16360448\"]\n  5 [size=\"65212416\", alpha=\"0.06\", expect_size=\"32606208\"] \n  5 -> 6 [size =\"32606208\"]\n  5 -> 7 [size =\"32606208\"]\n  6 [size=\"100923392\", alpha=\"0.16\", expect_size=\"50461696\"] \n  6 -> 8 [size =\"50461696\"]\n  7 [size=\"29200384\", alpha=\"0.10\", expect_size=\"14600192\"] \n  7 -> 8 [size =\"14600192\"]\n  8 [size=\"53366784\", alpha=\"0.20\", expect_size=\"26683392\"] \n  8 -> 9 [size =\"26683392\"]\n  9 [size=\"71591936\", alpha=\"0.20\", expect_size=\"35795968\"] \n  9 -> 10 [size =\"35795968\"]\n  10 [size=\"52207616\", alpha=\"0.04\", expect_size=\"26103808\"] \n  10 -> 11 [size =\"26103808\"]\n  10 -> 12 [size =\"26103808\"]\n  11 [size=\"101724160\", alpha=\"0.12\", expect_size=\"50862080\"] \n  11 -> 13 [size =\"50862080\"]\n  12 [size=\"56946688\", alpha=\"0.16\", expect_size=\"28473344\"] \n  12 -> 13 [size =\"28473344\"]\n  13 [size=\"14389248\", alpha=\"0.05\", expect_size=\"7194624\"] \n  13 -> 14 [size =\"7194624\"]\n  14 [size=\"58404864\", alpha=\"0.16\", expect_size=\"29202432\"] \n  14 -> 15 [size =\"29202432\"]\n  15 [size=\"71231488\", alpha=\"0.01\", expect_size=\"35615744\"] \n  15 -> 16 [size =\"35615744\"]\n  16 [size=\"99493888\", alpha=\"0.17\", expect_size=\"49746944\"] \n  16 -> 17 [size =\"49746944\"]\n  17 [size=\"78372864\", alpha=\"0.15\", expect_size=\"39186432\"] \n  17 -> 18 [size =\"39186432\"]\n  18 [size=\"29560832\", alpha=\"0.16\", expect_size=\"14780416\"] \n  18 -> 19 [size =\"14780416\"]\n  18 -> 20 [size =\"14780416\"]\n  19 [size=\"27217920\", alpha=\"0.19\", expect_size=\"13608960\"] \n  19 -> 21 [size =\"13608960\"]\n  19 -> 22 [size =\"13608960\"]\n  20 [size=\"27113472\", alpha=\"0.18\", expect_size=\"13556736\"] \n  20 -> 21 [size =\"13556736\"]\n  20 -> 22 [size =\"13556736\"]\n  21 [size=\"43808768\", alpha=\"0.12\", expect_size=\"21904384\"] \n  21 -> 23 [size =\"21904384\"]\n  22 [size=\"100577280\", alpha=\"0.13\", expect_size=\"50288640\"] \n  23 [size=\"80668672\", alpha=\"0.04\", expect_size=\"40334336\"] \n  23 -> 24 [size =\"40334336\"]\n  23 -> 25 [size =\"40334336\"]\n  24 [size=\"103028736\", alpha=\"0.19\", expect_size=\"51514368\"] \n  25 [size=\"86317056\", alpha=\"0.06\", expect_size=\"43158528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94963200\", alpha=\"0.08\", expect_size=\"37985280\"] \n  1 -> 3 [size =\"37985280\"]\n  2 [size=\"19299840\", alpha=\"0.03\", expect_size=\"7719936\"] \n  2 -> 3 [size =\"7719936\"]\n  2 -> 4 [size =\"7719936\"]\n  3 [size=\"103454720\", alpha=\"0.00\", expect_size=\"41381888\"] \n  3 -> 5 [size =\"41381888\"]\n  3 -> 6 [size =\"41381888\"]\n  4 [size=\"125178880\", alpha=\"0.07\", expect_size=\"50071552\"] \n  4 -> 5 [size =\"50071552\"]\n  4 -> 6 [size =\"50071552\"]\n  5 [size=\"122024960\", alpha=\"0.07\", expect_size=\"48809984\"] \n  5 -> 7 [size =\"48809984\"]\n  6 [size=\"70241280\", alpha=\"0.03\", expect_size=\"28096512\"] \n  6 -> 7 [size =\"28096512\"]\n  7 [size=\"72417280\", alpha=\"0.01\", expect_size=\"28966912\"] \n  7 -> 8 [size =\"28966912\"]\n  8 [size=\"67906560\", alpha=\"0.07\", expect_size=\"27162624\"] \n  8 -> 9 [size =\"27162624\"]\n  8 -> 10 [size =\"27162624\"]\n  9 [size=\"59059200\", alpha=\"0.14\", expect_size=\"23623680\"] \n  9 -> 12 [size =\"23623680\"]\n  10 [size=\"117468160\", alpha=\"0.04\", expect_size=\"46987264\"] \n  10 -> 11 [size =\"46987264\"]\n  10 -> 12 [size =\"46987264\"]\n  11 [size=\"83627520\", alpha=\"0.08\", expect_size=\"33451008\"] \n  11 -> 13 [size =\"33451008\"]\n  11 -> 14 [size =\"33451008\"]\n  12 [size=\"14059520\", alpha=\"0.19\", expect_size=\"5623808\"] \n  12 -> 14 [size =\"5623808\"]\n  13 [size=\"29752320\", alpha=\"0.18\", expect_size=\"11900928\"] \n  13 -> 15 [size =\"11900928\"]\n  14 [size=\"30592000\", alpha=\"0.06\", expect_size=\"12236800\"] \n  15 [size=\"72611840\", alpha=\"0.20\", expect_size=\"29044736\"] \n  15 -> 16 [size =\"29044736\"]\n  15 -> 17 [size =\"29044736\"]\n  16 [size=\"115863040\", alpha=\"0.13\", expect_size=\"46345216\"] \n  16 -> 18 [size =\"46345216\"]\n  17 [size=\"13872640\", alpha=\"0.16\", expect_size=\"5549056\"] \n  18 [size=\"20224000\", alpha=\"0.12\", expect_size=\"8089600\"] \n  18 -> 19 [size =\"8089600\"]\n  19 [size=\"64053760\", alpha=\"0.13\", expect_size=\"25621504\"] \n  19 -> 20 [size =\"25621504\"]\n  20 [size=\"27269120\", alpha=\"0.06\", expect_size=\"10907648\"] \n  20 -> 21 [size =\"10907648\"]\n  20 -> 22 [size =\"10907648\"]\n  21 [size=\"50373120\", alpha=\"0.14\", expect_size=\"20149248\"] \n  21 -> 23 [size =\"20149248\"]\n  21 -> 24 [size =\"20149248\"]\n  22 [size=\"97971200\", alpha=\"0.02\", expect_size=\"39188480\"] \n  22 -> 24 [size =\"39188480\"]\n  23 [size=\"94955520\", alpha=\"0.06\", expect_size=\"37982208\"] \n  23 -> 25 [size =\"37982208\"]\n  24 [size=\"83919360\", alpha=\"0.09\", expect_size=\"33567744\"] \n  25 [size=\"116577280\", alpha=\"0.10\", expect_size=\"46630912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50188288\", alpha=\"0.15\", expect_size=\"25094144\"] \n  1 -> 2 [size =\"25094144\"]\n  2 [size=\"69296128\", alpha=\"0.02\", expect_size=\"34648064\"] \n  2 -> 3 [size =\"34648064\"]\n  3 [size=\"95817728\", alpha=\"0.10\", expect_size=\"47908864\"] \n  3 -> 4 [size =\"47908864\"]\n  4 [size=\"16783360\", alpha=\"0.17\", expect_size=\"8391680\"] \n  4 -> 5 [size =\"8391680\"]\n  5 [size=\"34555904\", alpha=\"0.06\", expect_size=\"17277952\"] \n  5 -> 6 [size =\"17277952\"]\n  6 [size=\"43962368\", alpha=\"0.09\", expect_size=\"21981184\"] \n  6 -> 7 [size =\"21981184\"]\n  7 [size=\"25466880\", alpha=\"0.18\", expect_size=\"12733440\"] \n  7 -> 8 [size =\"12733440\"]\n  8 [size=\"85829632\", alpha=\"0.13\", expect_size=\"42914816\"] \n  8 -> 9 [size =\"42914816\"]\n  9 [size=\"20258816\", alpha=\"0.08\", expect_size=\"10129408\"] \n  9 -> 10 [size =\"10129408\"]\n  10 [size=\"91162624\", alpha=\"0.11\", expect_size=\"45581312\"] \n  10 -> 11 [size =\"45581312\"]\n  11 [size=\"89055232\", alpha=\"0.17\", expect_size=\"44527616\"] \n  11 -> 12 [size =\"44527616\"]\n  12 [size=\"66426880\", alpha=\"0.04\", expect_size=\"33213440\"] \n  12 -> 13 [size =\"33213440\"]\n  13 [size=\"77144064\", alpha=\"0.17\", expect_size=\"38572032\"] \n  13 -> 14 [size =\"38572032\"]\n  14 [size=\"28979200\", alpha=\"0.17\", expect_size=\"14489600\"] \n  14 -> 15 [size =\"14489600\"]\n  15 [size=\"15009792\", alpha=\"0.01\", expect_size=\"7504896\"] \n  15 -> 16 [size =\"7504896\"]\n  16 [size=\"41740288\", alpha=\"0.01\", expect_size=\"20870144\"] \n  16 -> 17 [size =\"20870144\"]\n  17 [size=\"82006016\", alpha=\"0.05\", expect_size=\"41003008\"] \n  17 -> 18 [size =\"41003008\"]\n  18 [size=\"74545152\", alpha=\"0.01\", expect_size=\"37272576\"] \n  18 -> 19 [size =\"37272576\"]\n  19 [size=\"42565632\", alpha=\"0.15\", expect_size=\"21282816\"] \n  19 -> 20 [size =\"21282816\"]\n  20 [size=\"78573568\", alpha=\"0.02\", expect_size=\"39286784\"] \n  20 -> 21 [size =\"39286784\"]\n  21 [size=\"37183488\", alpha=\"0.18\", expect_size=\"18591744\"] \n  21 -> 22 [size =\"18591744\"]\n  22 [size=\"23795712\", alpha=\"0.06\", expect_size=\"11897856\"] \n  22 -> 23 [size =\"11897856\"]\n  23 [size=\"43767808\", alpha=\"0.13\", expect_size=\"21883904\"] \n  23 -> 24 [size =\"21883904\"]\n  24 [size=\"29669376\", alpha=\"0.00\", expect_size=\"14834688\"] \n  24 -> 25 [size =\"14834688\"]\n  25 [size=\"14542848\", alpha=\"0.13\", expect_size=\"7271424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54883840\", alpha=\"0.02\", expect_size=\"21953536\"] \n  1 -> 2 [size =\"21953536\"]\n  2 [size=\"45888000\", alpha=\"0.16\", expect_size=\"18355200\"] \n  2 -> 3 [size =\"18355200\"]\n  3 [size=\"44887040\", alpha=\"0.16\", expect_size=\"17954816\"] \n  3 -> 4 [size =\"17954816\"]\n  4 [size=\"79718400\", alpha=\"0.02\", expect_size=\"31887360\"] \n  4 -> 5 [size =\"31887360\"]\n  5 [size=\"68090880\", alpha=\"0.12\", expect_size=\"27236352\"] \n  5 -> 6 [size =\"27236352\"]\n  6 [size=\"39587840\", alpha=\"0.11\", expect_size=\"15835136\"] \n  6 -> 7 [size =\"15835136\"]\n  7 [size=\"50672640\", alpha=\"0.11\", expect_size=\"20269056\"] \n  7 -> 8 [size =\"20269056\"]\n  8 [size=\"114836480\", alpha=\"0.06\", expect_size=\"45934592\"] \n  8 -> 9 [size =\"45934592\"]\n  9 [size=\"17392640\", alpha=\"0.03\", expect_size=\"6957056\"] \n  9 -> 10 [size =\"6957056\"]\n  10 [size=\"57372160\", alpha=\"0.11\", expect_size=\"22948864\"] \n  10 -> 11 [size =\"22948864\"]\n  11 [size=\"47022080\", alpha=\"0.05\", expect_size=\"18808832\"] \n  11 -> 12 [size =\"18808832\"]\n  12 [size=\"61434880\", alpha=\"0.04\", expect_size=\"24573952\"] \n  12 -> 13 [size =\"24573952\"]\n  13 [size=\"39175680\", alpha=\"0.15\", expect_size=\"15670272\"] \n  13 -> 14 [size =\"15670272\"]\n  14 [size=\"13985280\", alpha=\"0.10\", expect_size=\"5594112\"] \n  14 -> 15 [size =\"5594112\"]\n  15 [size=\"23790080\", alpha=\"0.02\", expect_size=\"9516032\"] \n  15 -> 16 [size =\"9516032\"]\n  16 [size=\"96547840\", alpha=\"0.09\", expect_size=\"38619136\"] \n  16 -> 17 [size =\"38619136\"]\n  17 [size=\"46274560\", alpha=\"0.03\", expect_size=\"18509824\"] \n  17 -> 18 [size =\"18509824\"]\n  18 [size=\"109900800\", alpha=\"0.05\", expect_size=\"43960320\"] \n  18 -> 19 [size =\"43960320\"]\n  19 [size=\"26616320\", alpha=\"0.01\", expect_size=\"10646528\"] \n  19 -> 20 [size =\"10646528\"]\n  20 [size=\"43407360\", alpha=\"0.19\", expect_size=\"17362944\"] \n  20 -> 21 [size =\"17362944\"]\n  21 [size=\"107650560\", alpha=\"0.03\", expect_size=\"43060224\"] \n  21 -> 22 [size =\"43060224\"]\n  22 [size=\"17664000\", alpha=\"0.13\", expect_size=\"7065600\"] \n  22 -> 23 [size =\"7065600\"]\n  23 [size=\"40094720\", alpha=\"0.09\", expect_size=\"16037888\"] \n  23 -> 24 [size =\"16037888\"]\n  24 [size=\"128473600\", alpha=\"0.16\", expect_size=\"51389440\"] \n  24 -> 25 [size =\"51389440\"]\n  25 [size=\"71823360\", alpha=\"0.12\", expect_size=\"28729344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21207040\", alpha=\"0.03\", expect_size=\"10603520\"] \n  1 -> 10 [size =\"10603520\"]\n  1 -> 12 [size =\"10603520\"]\n  1 -> 15 [size =\"10603520\"]\n  1 -> 15 [size =\"10603520\"]\n  1 -> 16 [size =\"10603520\"]\n  1 -> 17 [size =\"10603520\"]\n  2 [size=\"95526912\", alpha=\"0.09\", expect_size=\"47763456\"] \n  2 -> 9 [size =\"47763456\"]\n  2 -> 10 [size =\"47763456\"]\n  2 -> 16 [size =\"47763456\"]\n  2 -> 17 [size =\"47763456\"]\n  3 [size=\"40523776\", alpha=\"0.06\", expect_size=\"20261888\"] \n  3 -> 10 [size =\"20261888\"]\n  3 -> 10 [size =\"20261888\"]\n  3 -> 11 [size =\"20261888\"]\n  3 -> 13 [size =\"20261888\"]\n  3 -> 14 [size =\"20261888\"]\n  3 -> 16 [size =\"20261888\"]\n  3 -> 17 [size =\"20261888\"]\n  4 [size=\"30085120\", alpha=\"0.13\", expect_size=\"15042560\"] \n  4 -> 10 [size =\"15042560\"]\n  4 -> 11 [size =\"15042560\"]\n  4 -> 11 [size =\"15042560\"]\n  5 [size=\"12009472\", alpha=\"0.18\", expect_size=\"6004736\"] \n  5 -> 9 [size =\"6004736\"]\n  5 -> 10 [size =\"6004736\"]\n  5 -> 11 [size =\"6004736\"]\n  5 -> 15 [size =\"6004736\"]\n  5 -> 16 [size =\"6004736\"]\n  6 [size=\"22616064\", alpha=\"0.19\", expect_size=\"11308032\"] \n  6 -> 9 [size =\"11308032\"]\n  6 -> 11 [size =\"11308032\"]\n  6 -> 13 [size =\"11308032\"]\n  6 -> 16 [size =\"11308032\"]\n  6 -> 17 [size =\"11308032\"]\n  7 [size=\"103600128\", alpha=\"0.12\", expect_size=\"51800064\"] \n  7 -> 9 [size =\"51800064\"]\n  7 -> 10 [size =\"51800064\"]\n  7 -> 11 [size =\"51800064\"]\n  7 -> 13 [size =\"51800064\"]\n  7 -> 15 [size =\"51800064\"]\n  7 -> 16 [size =\"51800064\"]\n  7 -> 17 [size =\"51800064\"]\n  8 [size=\"83056640\", alpha=\"0.04\", expect_size=\"41528320\"] \n  8 -> 10 [size =\"41528320\"]\n  8 -> 11 [size =\"41528320\"]\n  8 -> 13 [size =\"41528320\"]\n  8 -> 15 [size =\"41528320\"]\n  8 -> 15 [size =\"41528320\"]\n  8 -> 16 [size =\"41528320\"]\n  8 -> 17 [size =\"41528320\"]\n  9 [size=\"99538944\", alpha=\"0.04\", expect_size=\"49769472\"] \n  9 -> 20 [size =\"49769472\"]\n  9 -> 21 [size =\"49769472\"]\n  9 -> 21 [size =\"49769472\"]\n  9 -> 22 [size =\"49769472\"]\n  9 -> 23 [size =\"49769472\"]\n  9 -> 25 [size =\"49769472\"]\n  10 [size=\"27652096\", alpha=\"0.03\", expect_size=\"13826048\"] \n  10 -> 21 [size =\"13826048\"]\n  10 -> 23 [size =\"13826048\"]\n  10 -> 25 [size =\"13826048\"]\n  11 [size=\"44394496\", alpha=\"0.10\", expect_size=\"22197248\"] \n  11 -> 20 [size =\"22197248\"]\n  11 -> 21 [size =\"22197248\"]\n  11 -> 23 [size =\"22197248\"]\n  11 -> 24 [size =\"22197248\"]\n  12 [size=\"57083904\", alpha=\"0.11\", expect_size=\"28541952\"] \n  12 -> 23 [size =\"28541952\"]\n  12 -> 24 [size =\"28541952\"]\n  13 [size=\"97970176\", alpha=\"0.00\", expect_size=\"48985088\"] \n  13 -> 18 [size =\"48985088\"]\n  13 -> 20 [size =\"48985088\"]\n  13 -> 23 [size =\"48985088\"]\n  13 -> 24 [size =\"48985088\"]\n  13 -> 25 [size =\"48985088\"]\n  14 [size=\"33677312\", alpha=\"0.13\", expect_size=\"16838656\"] \n  14 -> 18 [size =\"16838656\"]\n  14 -> 20 [size =\"16838656\"]\n  14 -> 21 [size =\"16838656\"]\n  14 -> 23 [size =\"16838656\"]\n  14 -> 25 [size =\"16838656\"]\n  15 [size=\"93046784\", alpha=\"0.02\", expect_size=\"46523392\"] \n  15 -> 18 [size =\"46523392\"]\n  15 -> 20 [size =\"46523392\"]\n  15 -> 21 [size =\"46523392\"]\n  15 -> 23 [size =\"46523392\"]\n  15 -> 25 [size =\"46523392\"]\n  16 [size=\"84973568\", alpha=\"0.04\", expect_size=\"42486784\"] \n  16 -> 19 [size =\"42486784\"]\n  16 -> 20 [size =\"42486784\"]\n  16 -> 21 [size =\"42486784\"]\n  16 -> 22 [size =\"42486784\"]\n  16 -> 23 [size =\"42486784\"]\n  16 -> 25 [size =\"42486784\"]\n  17 [size=\"81913856\", alpha=\"0.14\", expect_size=\"40956928\"] \n  17 -> 18 [size =\"40956928\"]\n  17 -> 20 [size =\"40956928\"]\n  17 -> 21 [size =\"40956928\"]\n  17 -> 22 [size =\"40956928\"]\n  17 -> 23 [size =\"40956928\"]\n  17 -> 25 [size =\"40956928\"]\n  18 [size=\"42895360\", alpha=\"0.14\", expect_size=\"21447680\"] \n  19 [size=\"59443200\", alpha=\"0.10\", expect_size=\"29721600\"] \n  20 [size=\"76029952\", alpha=\"0.15\", expect_size=\"38014976\"] \n  21 [size=\"87937024\", alpha=\"0.03\", expect_size=\"43968512\"] \n  22 [size=\"42819584\", alpha=\"0.09\", expect_size=\"21409792\"] \n  23 [size=\"94515200\", alpha=\"0.01\", expect_size=\"47257600\"] \n  24 [size=\"95698944\", alpha=\"0.17\", expect_size=\"47849472\"] \n  25 [size=\"60672000\", alpha=\"0.14\", expect_size=\"30336000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28856320\", alpha=\"0.10\", expect_size=\"8656896\"] \n  1 -> 2 [size =\"8656896\"]\n  2 [size=\"90112000\", alpha=\"0.13\", expect_size=\"27033600\"] \n  2 -> 3 [size =\"27033600\"]\n  2 -> 4 [size =\"27033600\"]\n  3 [size=\"157255680\", alpha=\"0.12\", expect_size=\"47176704\"] \n  3 -> 5 [size =\"47176704\"]\n  4 [size=\"22763520\", alpha=\"0.12\", expect_size=\"6829056\"] \n  5 [size=\"28081493\", alpha=\"0.00\", expect_size=\"8424448\"] \n  5 -> 6 [size =\"8424448\"]\n  5 -> 7 [size =\"8424448\"]\n  6 [size=\"120009387\", alpha=\"0.12\", expect_size=\"36002816\"] \n  6 -> 8 [size =\"36002816\"]\n  6 -> 9 [size =\"36002816\"]\n  7 [size=\"79561387\", alpha=\"0.10\", expect_size=\"23868416\"] \n  7 -> 8 [size =\"23868416\"]\n  7 -> 9 [size =\"23868416\"]\n  8 [size=\"24466773\", alpha=\"0.16\", expect_size=\"7340032\"] \n  8 -> 10 [size =\"7340032\"]\n  9 [size=\"148169387\", alpha=\"0.05\", expect_size=\"44450816\"] \n  10 [size=\"62453760\", alpha=\"0.01\", expect_size=\"18736128\"] \n  10 -> 11 [size =\"18736128\"]\n  10 -> 12 [size =\"18736128\"]\n  11 [size=\"29440000\", alpha=\"0.11\", expect_size=\"8832000\"] \n  11 -> 13 [size =\"8832000\"]\n  12 [size=\"108206080\", alpha=\"0.01\", expect_size=\"32461824\"] \n  12 -> 14 [size =\"32461824\"]\n  13 [size=\"53623467\", alpha=\"0.07\", expect_size=\"16087040\"] \n  13 -> 15 [size =\"16087040\"]\n  14 [size=\"151381333\", alpha=\"0.07\", expect_size=\"45414400\"] \n  14 -> 15 [size =\"45414400\"]\n  15 [size=\"87070720\", alpha=\"0.10\", expect_size=\"26121216\"] \n  15 -> 16 [size =\"26121216\"]\n  16 [size=\"90944853\", alpha=\"0.03\", expect_size=\"27283456\"] \n  16 -> 17 [size =\"27283456\"]\n  16 -> 18 [size =\"27283456\"]\n  17 [size=\"28928000\", alpha=\"0.18\", expect_size=\"8678400\"] \n  18 [size=\"108093440\", alpha=\"0.02\", expect_size=\"32428032\"] \n  18 -> 19 [size =\"32428032\"]\n  19 [size=\"75950080\", alpha=\"0.14\", expect_size=\"22785024\"] \n  19 -> 20 [size =\"22785024\"]\n  20 [size=\"116500480\", alpha=\"0.15\", expect_size=\"34950144\"] \n  20 -> 21 [size =\"34950144\"]\n  21 [size=\"122385067\", alpha=\"0.18\", expect_size=\"36715520\"] \n  21 -> 22 [size =\"36715520\"]\n  22 [size=\"52695040\", alpha=\"0.10\", expect_size=\"15808512\"] \n  22 -> 23 [size =\"15808512\"]\n  22 -> 24 [size =\"15808512\"]\n  23 [size=\"58313387\", alpha=\"0.20\", expect_size=\"17494016\"] \n  23 -> 25 [size =\"17494016\"]\n  24 [size=\"114589013\", alpha=\"0.10\", expect_size=\"34376704\"] \n  25 [size=\"166929067\", alpha=\"0.02\", expect_size=\"50078720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108595200\", alpha=\"0.17\", expect_size=\"43438080\"] \n  1 -> 2 [size =\"43438080\"]\n  1 -> 3 [size =\"43438080\"]\n  2 [size=\"87976960\", alpha=\"0.07\", expect_size=\"35190784\"] \n  2 -> 4 [size =\"35190784\"]\n  2 -> 5 [size =\"35190784\"]\n  3 [size=\"117199360\", alpha=\"0.05\", expect_size=\"46879744\"] \n  3 -> 4 [size =\"46879744\"]\n  4 [size=\"16151040\", alpha=\"0.03\", expect_size=\"6460416\"] \n  4 -> 6 [size =\"6460416\"]\n  5 [size=\"95751680\", alpha=\"0.11\", expect_size=\"38300672\"] \n  6 [size=\"66984960\", alpha=\"0.13\", expect_size=\"26793984\"] \n  6 -> 7 [size =\"26793984\"]\n  7 [size=\"119457280\", alpha=\"0.10\", expect_size=\"47782912\"] \n  7 -> 8 [size =\"47782912\"]\n  8 [size=\"117386240\", alpha=\"0.02\", expect_size=\"46954496\"] \n  8 -> 9 [size =\"46954496\"]\n  8 -> 10 [size =\"46954496\"]\n  9 [size=\"94374400\", alpha=\"0.06\", expect_size=\"37749760\"] \n  9 -> 11 [size =\"37749760\"]\n  9 -> 12 [size =\"37749760\"]\n  10 [size=\"101222400\", alpha=\"0.13\", expect_size=\"40488960\"] \n  10 -> 11 [size =\"40488960\"]\n  10 -> 12 [size =\"40488960\"]\n  11 [size=\"116976640\", alpha=\"0.02\", expect_size=\"46790656\"] \n  11 -> 13 [size =\"46790656\"]\n  12 [size=\"97159680\", alpha=\"0.03\", expect_size=\"38863872\"] \n  12 -> 13 [size =\"38863872\"]\n  13 [size=\"22945280\", alpha=\"0.20\", expect_size=\"9178112\"] \n  13 -> 14 [size =\"9178112\"]\n  13 -> 15 [size =\"9178112\"]\n  14 [size=\"54126080\", alpha=\"0.08\", expect_size=\"21650432\"] \n  14 -> 17 [size =\"21650432\"]\n  15 [size=\"70676480\", alpha=\"0.14\", expect_size=\"28270592\"] \n  15 -> 16 [size =\"28270592\"]\n  15 -> 17 [size =\"28270592\"]\n  16 [size=\"19312640\", alpha=\"0.13\", expect_size=\"7725056\"] \n  16 -> 18 [size =\"7725056\"]\n  16 -> 19 [size =\"7725056\"]\n  17 [size=\"94760960\", alpha=\"0.16\", expect_size=\"37904384\"] \n  17 -> 18 [size =\"37904384\"]\n  17 -> 19 [size =\"37904384\"]\n  18 [size=\"33950720\", alpha=\"0.04\", expect_size=\"13580288\"] \n  18 -> 20 [size =\"13580288\"]\n  19 [size=\"43517440\", alpha=\"0.04\", expect_size=\"17406976\"] \n  20 [size=\"76546560\", alpha=\"0.02\", expect_size=\"30618624\"] \n  20 -> 21 [size =\"30618624\"]\n  21 [size=\"36715520\", alpha=\"0.17\", expect_size=\"14686208\"] \n  21 -> 22 [size =\"14686208\"]\n  21 -> 23 [size =\"14686208\"]\n  22 [size=\"49628160\", alpha=\"0.05\", expect_size=\"19851264\"] \n  22 -> 24 [size =\"19851264\"]\n  23 [size=\"69209600\", alpha=\"0.10\", expect_size=\"27683840\"] \n  24 [size=\"68938240\", alpha=\"0.15\", expect_size=\"27575296\"] \n  24 -> 25 [size =\"27575296\"]\n  25 [size=\"116505600\", alpha=\"0.15\", expect_size=\"46602240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90537984\", alpha=\"0.13\", expect_size=\"45268992\"] \n  1 -> 2 [size =\"45268992\"]\n  1 -> 3 [size =\"45268992\"]\n  2 [size=\"37984256\", alpha=\"0.06\", expect_size=\"18992128\"] \n  2 -> 4 [size =\"18992128\"]\n  3 [size=\"23562240\", alpha=\"0.15\", expect_size=\"11781120\"] \n  3 -> 4 [size =\"11781120\"]\n  4 [size=\"101228544\", alpha=\"0.07\", expect_size=\"50614272\"] \n  4 -> 5 [size =\"50614272\"]\n  5 [size=\"90427392\", alpha=\"0.10\", expect_size=\"45213696\"] \n  5 -> 6 [size =\"45213696\"]\n  5 -> 7 [size =\"45213696\"]\n  6 [size=\"51292160\", alpha=\"0.14\", expect_size=\"25646080\"] \n  6 -> 8 [size =\"25646080\"]\n  7 [size=\"33966080\", alpha=\"0.05\", expect_size=\"16983040\"] \n  7 -> 8 [size =\"16983040\"]\n  8 [size=\"41197568\", alpha=\"0.11\", expect_size=\"20598784\"] \n  8 -> 9 [size =\"20598784\"]\n  8 -> 10 [size =\"20598784\"]\n  9 [size=\"72220672\", alpha=\"0.11\", expect_size=\"36110336\"] \n  9 -> 11 [size =\"36110336\"]\n  10 [size=\"40828928\", alpha=\"0.07\", expect_size=\"20414464\"] \n  10 -> 11 [size =\"20414464\"]\n  11 [size=\"88360960\", alpha=\"0.14\", expect_size=\"44180480\"] \n  11 -> 12 [size =\"44180480\"]\n  11 -> 13 [size =\"44180480\"]\n  12 [size=\"56643584\", alpha=\"0.08\", expect_size=\"28321792\"] \n  12 -> 14 [size =\"28321792\"]\n  13 [size=\"83675136\", alpha=\"0.14\", expect_size=\"41837568\"] \n  13 -> 14 [size =\"41837568\"]\n  14 [size=\"58658816\", alpha=\"0.00\", expect_size=\"29329408\"] \n  14 -> 15 [size =\"29329408\"]\n  15 [size=\"90732544\", alpha=\"0.01\", expect_size=\"45366272\"] \n  15 -> 16 [size =\"45366272\"]\n  16 [size=\"42031104\", alpha=\"0.07\", expect_size=\"21015552\"] \n  16 -> 17 [size =\"21015552\"]\n  17 [size=\"13996032\", alpha=\"0.16\", expect_size=\"6998016\"] \n  17 -> 18 [size =\"6998016\"]\n  17 -> 19 [size =\"6998016\"]\n  18 [size=\"39901184\", alpha=\"0.03\", expect_size=\"19950592\"] \n  18 -> 20 [size =\"19950592\"]\n  18 -> 21 [size =\"19950592\"]\n  19 [size=\"91441152\", alpha=\"0.18\", expect_size=\"45720576\"] \n  19 -> 20 [size =\"45720576\"]\n  19 -> 21 [size =\"45720576\"]\n  20 [size=\"49412096\", alpha=\"0.12\", expect_size=\"24706048\"] \n  20 -> 22 [size =\"24706048\"]\n  21 [size=\"83845120\", alpha=\"0.03\", expect_size=\"41922560\"] \n  21 -> 22 [size =\"41922560\"]\n  21 -> 23 [size =\"41922560\"]\n  22 [size=\"56381440\", alpha=\"0.19\", expect_size=\"28190720\"] \n  22 -> 24 [size =\"28190720\"]\n  22 -> 25 [size =\"28190720\"]\n  23 [size=\"92895232\", alpha=\"0.18\", expect_size=\"46447616\"] \n  23 -> 24 [size =\"46447616\"]\n  23 -> 25 [size =\"46447616\"]\n  24 [size=\"63977472\", alpha=\"0.17\", expect_size=\"31988736\"] \n  25 [size=\"64843776\", alpha=\"0.12\", expect_size=\"32421888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92678827\", alpha=\"0.17\", expect_size=\"27803648\"] \n  1 -> 4 [size =\"27803648\"]\n  2 [size=\"135847253\", alpha=\"0.05\", expect_size=\"40754176\"] \n  2 -> 5 [size =\"40754176\"]\n  3 [size=\"158791680\", alpha=\"0.07\", expect_size=\"47637504\"] \n  3 -> 4 [size =\"47637504\"]\n  3 -> 6 [size =\"47637504\"]\n  4 [size=\"75424427\", alpha=\"0.10\", expect_size=\"22627328\"] \n  4 -> 7 [size =\"22627328\"]\n  4 -> 8 [size =\"22627328\"]\n  4 -> 9 [size =\"22627328\"]\n  5 [size=\"163188053\", alpha=\"0.04\", expect_size=\"48956416\"] \n  5 -> 7 [size =\"48956416\"]\n  5 -> 8 [size =\"48956416\"]\n  6 [size=\"154258773\", alpha=\"0.14\", expect_size=\"46277632\"] \n  6 -> 7 [size =\"46277632\"]\n  6 -> 8 [size =\"46277632\"]\n  7 [size=\"154033493\", alpha=\"0.10\", expect_size=\"46210048\"] \n  7 -> 10 [size =\"46210048\"]\n  7 -> 11 [size =\"46210048\"]\n  7 -> 12 [size =\"46210048\"]\n  7 -> 13 [size =\"46210048\"]\n  8 [size=\"89825280\", alpha=\"0.17\", expect_size=\"26947584\"] \n  8 -> 14 [size =\"26947584\"]\n  9 [size=\"154193920\", alpha=\"0.15\", expect_size=\"46258176\"] \n  9 -> 10 [size =\"46258176\"]\n  9 -> 11 [size =\"46258176\"]\n  9 -> 12 [size =\"46258176\"]\n  10 [size=\"104171520\", alpha=\"0.00\", expect_size=\"31251456\"] \n  10 -> 17 [size =\"31251456\"]\n  10 -> 17 [size =\"31251456\"]\n  10 -> 18 [size =\"31251456\"]\n  11 [size=\"51288747\", alpha=\"0.19\", expect_size=\"15386624\"] \n  11 -> 15 [size =\"15386624\"]\n  11 -> 16 [size =\"15386624\"]\n  11 -> 17 [size =\"15386624\"]\n  12 [size=\"26804907\", alpha=\"0.15\", expect_size=\"8041472\"] \n  12 -> 18 [size =\"8041472\"]\n  13 [size=\"68805973\", alpha=\"0.20\", expect_size=\"20641792\"] \n  13 -> 18 [size =\"20641792\"]\n  14 [size=\"125794987\", alpha=\"0.14\", expect_size=\"37738496\"] \n  14 -> 16 [size =\"37738496\"]\n  14 -> 17 [size =\"37738496\"]\n  15 [size=\"44363093\", alpha=\"0.10\", expect_size=\"13308928\"] \n  16 [size=\"73577813\", alpha=\"0.05\", expect_size=\"22073344\"] \n  16 -> 19 [size =\"22073344\"]\n  16 -> 20 [size =\"22073344\"]\n  17 [size=\"24176640\", alpha=\"0.19\", expect_size=\"7252992\"] \n  18 [size=\"105284267\", alpha=\"0.04\", expect_size=\"31585280\"] \n  19 [size=\"85534720\", alpha=\"0.16\", expect_size=\"25660416\"] \n  19 -> 21 [size =\"25660416\"]\n  19 -> 22 [size =\"25660416\"]\n  19 -> 23 [size =\"25660416\"]\n  20 [size=\"43223040\", alpha=\"0.11\", expect_size=\"12966912\"] \n  20 -> 21 [size =\"12966912\"]\n  20 -> 22 [size =\"12966912\"]\n  20 -> 23 [size =\"12966912\"]\n  21 [size=\"46571520\", alpha=\"0.14\", expect_size=\"13971456\"] \n  21 -> 25 [size =\"13971456\"]\n  22 [size=\"39983787\", alpha=\"0.13\", expect_size=\"11995136\"] \n  22 -> 24 [size =\"11995136\"]\n  22 -> 25 [size =\"11995136\"]\n  23 [size=\"160163840\", alpha=\"0.10\", expect_size=\"48049152\"] \n  23 -> 25 [size =\"48049152\"]\n  24 [size=\"158139733\", alpha=\"0.14\", expect_size=\"47441920\"] \n  25 [size=\"112500053\", alpha=\"0.17\", expect_size=\"33750016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82599253\", alpha=\"0.07\", expect_size=\"24779776\"] \n  1 -> 18 [size =\"24779776\"]\n  1 -> 21 [size =\"24779776\"]\n  1 -> 22 [size =\"24779776\"]\n  2 [size=\"123272533\", alpha=\"0.03\", expect_size=\"36981760\"] \n  2 -> 17 [size =\"36981760\"]\n  2 -> 18 [size =\"36981760\"]\n  2 -> 22 [size =\"36981760\"]\n  3 [size=\"97901227\", alpha=\"0.08\", expect_size=\"29370368\"] \n  3 -> 18 [size =\"29370368\"]\n  3 -> 18 [size =\"29370368\"]\n  3 -> 22 [size =\"29370368\"]\n  4 [size=\"107004587\", alpha=\"0.01\", expect_size=\"32101376\"] \n  4 -> 18 [size =\"32101376\"]\n  4 -> 22 [size =\"32101376\"]\n  4 -> 24 [size =\"32101376\"]\n  5 [size=\"74936320\", alpha=\"0.06\", expect_size=\"22480896\"] \n  5 -> 18 [size =\"22480896\"]\n  5 -> 24 [size =\"22480896\"]\n  5 -> 25 [size =\"22480896\"]\n  6 [size=\"49042773\", alpha=\"0.06\", expect_size=\"14712832\"] \n  6 -> 17 [size =\"14712832\"]\n  6 -> 18 [size =\"14712832\"]\n  6 -> 22 [size =\"14712832\"]\n  7 [size=\"143578453\", alpha=\"0.14\", expect_size=\"43073536\"] \n  7 -> 17 [size =\"43073536\"]\n  7 -> 22 [size =\"43073536\"]\n  7 -> 22 [size =\"43073536\"]\n  7 -> 25 [size =\"43073536\"]\n  8 [size=\"134161067\", alpha=\"0.02\", expect_size=\"40248320\"] \n  8 -> 17 [size =\"40248320\"]\n  8 -> 18 [size =\"40248320\"]\n  8 -> 20 [size =\"40248320\"]\n  8 -> 25 [size =\"40248320\"]\n  9 [size=\"164925440\", alpha=\"0.00\", expect_size=\"49477632\"] \n  9 -> 18 [size =\"49477632\"]\n  9 -> 20 [size =\"49477632\"]\n  9 -> 21 [size =\"49477632\"]\n  9 -> 22 [size =\"49477632\"]\n  9 -> 24 [size =\"49477632\"]\n  9 -> 25 [size =\"49477632\"]\n  10 [size=\"104639147\", alpha=\"0.03\", expect_size=\"31391744\"] \n  10 -> 17 [size =\"31391744\"]\n  10 -> 20 [size =\"31391744\"]\n  10 -> 25 [size =\"31391744\"]\n  11 [size=\"22872747\", alpha=\"0.02\", expect_size=\"6861824\"] \n  11 -> 17 [size =\"6861824\"]\n  11 -> 18 [size =\"6861824\"]\n  11 -> 25 [size =\"6861824\"]\n  12 [size=\"79291733\", alpha=\"0.04\", expect_size=\"23787520\"] \n  12 -> 17 [size =\"23787520\"]\n  12 -> 18 [size =\"23787520\"]\n  12 -> 20 [size =\"23787520\"]\n  12 -> 21 [size =\"23787520\"]\n  12 -> 23 [size =\"23787520\"]\n  13 [size=\"102382933\", alpha=\"0.12\", expect_size=\"30714880\"] \n  13 -> 17 [size =\"30714880\"]\n  13 -> 22 [size =\"30714880\"]\n  13 -> 23 [size =\"30714880\"]\n  13 -> 25 [size =\"30714880\"]\n  14 [size=\"165471573\", alpha=\"0.18\", expect_size=\"49641472\"] \n  15 [size=\"171315200\", alpha=\"0.09\", expect_size=\"51394560\"] \n  15 -> 17 [size =\"51394560\"]\n  15 -> 19 [size =\"51394560\"]\n  15 -> 22 [size =\"51394560\"]\n  16 [size=\"58658133\", alpha=\"0.13\", expect_size=\"17597440\"] \n  16 -> 18 [size =\"17597440\"]\n  16 -> 19 [size =\"17597440\"]\n  16 -> 25 [size =\"17597440\"]\n  17 [size=\"107001173\", alpha=\"0.09\", expect_size=\"32100352\"] \n  18 [size=\"62733653\", alpha=\"0.17\", expect_size=\"18820096\"] \n  19 [size=\"79179093\", alpha=\"0.01\", expect_size=\"23753728\"] \n  20 [size=\"79844693\", alpha=\"0.18\", expect_size=\"23953408\"] \n  21 [size=\"104878080\", alpha=\"0.03\", expect_size=\"31463424\"] \n  22 [size=\"123927893\", alpha=\"0.02\", expect_size=\"37178368\"] \n  23 [size=\"158873600\", alpha=\"0.11\", expect_size=\"47662080\"] \n  24 [size=\"94211413\", alpha=\"0.11\", expect_size=\"28263424\"] \n  25 [size=\"79895893\", alpha=\"0.19\", expect_size=\"23968768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59232256\", alpha=\"0.04\", expect_size=\"29616128\"] \n  1 -> 24 [size =\"29616128\"]\n  1 -> 25 [size =\"29616128\"]\n  2 [size=\"68141056\", alpha=\"0.05\", expect_size=\"34070528\"] \n  2 -> 24 [size =\"34070528\"]\n  3 [size=\"68835328\", alpha=\"0.08\", expect_size=\"34417664\"] \n  3 -> 23 [size =\"34417664\"]\n  3 -> 24 [size =\"34417664\"]\n  3 -> 25 [size =\"34417664\"]\n  4 [size=\"94302208\", alpha=\"0.03\", expect_size=\"47151104\"] \n  4 -> 25 [size =\"47151104\"]\n  5 [size=\"42827776\", alpha=\"0.03\", expect_size=\"21413888\"] \n  5 -> 23 [size =\"21413888\"]\n  5 -> 25 [size =\"21413888\"]\n  6 [size=\"31453184\", alpha=\"0.02\", expect_size=\"15726592\"] \n  6 -> 22 [size =\"15726592\"]\n  6 -> 25 [size =\"15726592\"]\n  7 [size=\"51810304\", alpha=\"0.02\", expect_size=\"25905152\"] \n  7 -> 24 [size =\"25905152\"]\n  7 -> 25 [size =\"25905152\"]\n  8 [size=\"55191552\", alpha=\"0.01\", expect_size=\"27595776\"] \n  8 -> 22 [size =\"27595776\"]\n  8 -> 24 [size =\"27595776\"]\n  8 -> 25 [size =\"27595776\"]\n  9 [size=\"42981376\", alpha=\"0.13\", expect_size=\"21490688\"] \n  9 -> 22 [size =\"21490688\"]\n  10 [size=\"73383936\", alpha=\"0.11\", expect_size=\"36691968\"] \n  10 -> 22 [size =\"36691968\"]\n  11 [size=\"54788096\", alpha=\"0.13\", expect_size=\"27394048\"] \n  11 -> 22 [size =\"27394048\"]\n  11 -> 23 [size =\"27394048\"]\n  11 -> 25 [size =\"27394048\"]\n  12 [size=\"75808768\", alpha=\"0.09\", expect_size=\"37904384\"] \n  12 -> 22 [size =\"37904384\"]\n  12 -> 23 [size =\"37904384\"]\n  13 [size=\"97701888\", alpha=\"0.10\", expect_size=\"48850944\"] \n  13 -> 22 [size =\"48850944\"]\n  13 -> 23 [size =\"48850944\"]\n  14 [size=\"42418176\", alpha=\"0.12\", expect_size=\"21209088\"] \n  14 -> 22 [size =\"21209088\"]\n  15 [size=\"55029760\", alpha=\"0.11\", expect_size=\"27514880\"] \n  15 -> 22 [size =\"27514880\"]\n  15 -> 23 [size =\"27514880\"]\n  15 -> 25 [size =\"27514880\"]\n  16 [size=\"68102144\", alpha=\"0.13\", expect_size=\"34051072\"] \n  16 -> 22 [size =\"34051072\"]\n  16 -> 23 [size =\"34051072\"]\n  16 -> 25 [size =\"34051072\"]\n  17 [size=\"79517696\", alpha=\"0.01\", expect_size=\"39758848\"] \n  17 -> 22 [size =\"39758848\"]\n  17 -> 23 [size =\"39758848\"]\n  18 [size=\"90105856\", alpha=\"0.18\", expect_size=\"45052928\"] \n  18 -> 22 [size =\"45052928\"]\n  18 -> 23 [size =\"45052928\"]\n  18 -> 24 [size =\"45052928\"]\n  18 -> 25 [size =\"45052928\"]\n  19 [size=\"94720000\", alpha=\"0.09\", expect_size=\"47360000\"] \n  19 -> 22 [size =\"47360000\"]\n  19 -> 23 [size =\"47360000\"]\n  20 [size=\"63797248\", alpha=\"0.11\", expect_size=\"31898624\"] \n  20 -> 23 [size =\"31898624\"]\n  20 -> 23 [size =\"31898624\"]\n  20 -> 25 [size =\"31898624\"]\n  21 [size=\"20461568\", alpha=\"0.02\", expect_size=\"10230784\"] \n  21 -> 22 [size =\"10230784\"]\n  22 [size=\"80785408\", alpha=\"0.06\", expect_size=\"40392704\"] \n  23 [size=\"29626368\", alpha=\"0.02\", expect_size=\"14813184\"] \n  24 [size=\"75755520\", alpha=\"0.16\", expect_size=\"37877760\"] \n  25 [size=\"38526976\", alpha=\"0.17\", expect_size=\"19263488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132799147\", alpha=\"0.09\", expect_size=\"39839744\"] \n  1 -> 4 [size =\"39839744\"]\n  1 -> 5 [size =\"39839744\"]\n  1 -> 6 [size =\"39839744\"]\n  2 [size=\"130170880\", alpha=\"0.05\", expect_size=\"39051264\"] \n  2 -> 6 [size =\"39051264\"]\n  3 [size=\"69563733\", alpha=\"0.10\", expect_size=\"20869120\"] \n  3 -> 4 [size =\"20869120\"]\n  3 -> 5 [size =\"20869120\"]\n  3 -> 6 [size =\"20869120\"]\n  3 -> 7 [size =\"20869120\"]\n  4 [size=\"136499200\", alpha=\"0.09\", expect_size=\"40949760\"] \n  4 -> 8 [size =\"40949760\"]\n  4 -> 10 [size =\"40949760\"]\n  5 [size=\"110199467\", alpha=\"0.00\", expect_size=\"33059840\"] \n  5 -> 8 [size =\"33059840\"]\n  5 -> 9 [size =\"33059840\"]\n  5 -> 10 [size =\"33059840\"]\n  6 [size=\"52688213\", alpha=\"0.00\", expect_size=\"15806464\"] \n  7 [size=\"60405760\", alpha=\"0.17\", expect_size=\"18121728\"] \n  7 -> 8 [size =\"18121728\"]\n  8 [size=\"144022187\", alpha=\"0.19\", expect_size=\"43206656\"] \n  8 -> 11 [size =\"43206656\"]\n  9 [size=\"85923840\", alpha=\"0.14\", expect_size=\"25777152\"] \n  9 -> 13 [size =\"25777152\"]\n  10 [size=\"100485120\", alpha=\"0.15\", expect_size=\"30145536\"] \n  10 -> 12 [size =\"30145536\"]\n  10 -> 14 [size =\"30145536\"]\n  11 [size=\"72826880\", alpha=\"0.09\", expect_size=\"21848064\"] \n  11 -> 15 [size =\"21848064\"]\n  11 -> 16 [size =\"21848064\"]\n  12 [size=\"141346133\", alpha=\"0.07\", expect_size=\"42403840\"] \n  13 [size=\"21845333\", alpha=\"0.15\", expect_size=\"6553600\"] \n  13 -> 15 [size =\"6553600\"]\n  13 -> 17 [size =\"6553600\"]\n  14 [size=\"101341867\", alpha=\"0.04\", expect_size=\"30402560\"] \n  14 -> 15 [size =\"30402560\"]\n  14 -> 17 [size =\"30402560\"]\n  15 [size=\"171994453\", alpha=\"0.15\", expect_size=\"51598336\"] \n  15 -> 18 [size =\"51598336\"]\n  15 -> 19 [size =\"51598336\"]\n  15 -> 21 [size =\"51598336\"]\n  16 [size=\"18397867\", alpha=\"0.01\", expect_size=\"5519360\"] \n  16 -> 18 [size =\"5519360\"]\n  16 -> 19 [size =\"5519360\"]\n  17 [size=\"20677973\", alpha=\"0.11\", expect_size=\"6203392\"] \n  17 -> 18 [size =\"6203392\"]\n  17 -> 19 [size =\"6203392\"]\n  17 -> 20 [size =\"6203392\"]\n  18 [size=\"156893867\", alpha=\"0.07\", expect_size=\"47068160\"] \n  18 -> 22 [size =\"47068160\"]\n  19 [size=\"149541547\", alpha=\"0.06\", expect_size=\"44862464\"] \n  20 [size=\"101485227\", alpha=\"0.16\", expect_size=\"30445568\"] \n  20 -> 23 [size =\"30445568\"]\n  21 [size=\"60330667\", alpha=\"0.00\", expect_size=\"18099200\"] \n  21 -> 22 [size =\"18099200\"]\n  22 [size=\"129928533\", alpha=\"0.19\", expect_size=\"38978560\"] \n  22 -> 24 [size =\"38978560\"]\n  23 [size=\"30303573\", alpha=\"0.04\", expect_size=\"9091072\"] \n  23 -> 24 [size =\"9091072\"]\n  23 -> 25 [size =\"9091072\"]\n  24 [size=\"145769813\", alpha=\"0.05\", expect_size=\"43730944\"] \n  25 [size=\"20804267\", alpha=\"0.17\", expect_size=\"6241280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89341952\", alpha=\"0.19\", expect_size=\"44670976\"] \n  1 -> 7 [size =\"44670976\"]\n  2 [size=\"13340672\", alpha=\"0.07\", expect_size=\"6670336\"] \n  2 -> 5 [size =\"6670336\"]\n  2 -> 8 [size =\"6670336\"]\n  3 [size=\"39043072\", alpha=\"0.17\", expect_size=\"19521536\"] \n  3 -> 4 [size =\"19521536\"]\n  3 -> 6 [size =\"19521536\"]\n  3 -> 7 [size =\"19521536\"]\n  4 [size=\"83290112\", alpha=\"0.05\", expect_size=\"41645056\"] \n  4 -> 10 [size =\"41645056\"]\n  5 [size=\"78243840\", alpha=\"0.08\", expect_size=\"39121920\"] \n  5 -> 9 [size =\"39121920\"]\n  5 -> 10 [size =\"39121920\"]\n  6 [size=\"99848192\", alpha=\"0.19\", expect_size=\"49924096\"] \n  7 [size=\"26503168\", alpha=\"0.00\", expect_size=\"13251584\"] \n  7 -> 9 [size =\"13251584\"]\n  7 -> 10 [size =\"13251584\"]\n  8 [size=\"95911936\", alpha=\"0.06\", expect_size=\"47955968\"] \n  8 -> 9 [size =\"47955968\"]\n  8 -> 10 [size =\"47955968\"]\n  9 [size=\"91342848\", alpha=\"0.14\", expect_size=\"45671424\"] \n  9 -> 11 [size =\"45671424\"]\n  9 -> 12 [size =\"45671424\"]\n  10 [size=\"39845888\", alpha=\"0.19\", expect_size=\"19922944\"] \n  10 -> 12 [size =\"19922944\"]\n  10 -> 13 [size =\"19922944\"]\n  11 [size=\"78213120\", alpha=\"0.16\", expect_size=\"39106560\"] \n  11 -> 14 [size =\"39106560\"]\n  11 -> 16 [size =\"39106560\"]\n  12 [size=\"73043968\", alpha=\"0.11\", expect_size=\"36521984\"] \n  12 -> 16 [size =\"36521984\"]\n  13 [size=\"104417280\", alpha=\"0.16\", expect_size=\"52208640\"] \n  13 -> 15 [size =\"52208640\"]\n  14 [size=\"90720256\", alpha=\"0.03\", expect_size=\"45360128\"] \n  15 [size=\"20518912\", alpha=\"0.15\", expect_size=\"10259456\"] \n  15 -> 17 [size =\"10259456\"]\n  15 -> 18 [size =\"10259456\"]\n  15 -> 19 [size =\"10259456\"]\n  15 -> 20 [size =\"10259456\"]\n  15 -> 21 [size =\"10259456\"]\n  16 [size=\"59090944\", alpha=\"0.10\", expect_size=\"29545472\"] \n  16 -> 17 [size =\"29545472\"]\n  16 -> 20 [size =\"29545472\"]\n  17 [size=\"54218752\", alpha=\"0.07\", expect_size=\"27109376\"] \n  17 -> 22 [size =\"27109376\"]\n  17 -> 24 [size =\"27109376\"]\n  18 [size=\"56207360\", alpha=\"0.17\", expect_size=\"28103680\"] \n  18 -> 22 [size =\"28103680\"]\n  19 [size=\"86278144\", alpha=\"0.12\", expect_size=\"43139072\"] \n  19 -> 22 [size =\"43139072\"]\n  19 -> 24 [size =\"43139072\"]\n  20 [size=\"57241600\", alpha=\"0.06\", expect_size=\"28620800\"] \n  20 -> 22 [size =\"28620800\"]\n  20 -> 23 [size =\"28620800\"]\n  20 -> 24 [size =\"28620800\"]\n  21 [size=\"52428800\", alpha=\"0.17\", expect_size=\"26214400\"] \n  22 [size=\"34635776\", alpha=\"0.09\", expect_size=\"17317888\"] \n  22 -> 25 [size =\"17317888\"]\n  23 [size=\"84185088\", alpha=\"0.07\", expect_size=\"42092544\"] \n  24 [size=\"64954368\", alpha=\"0.00\", expect_size=\"32477184\"] \n  25 [size=\"77752320\", alpha=\"0.08\", expect_size=\"38876160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61241344\", alpha=\"0.17\", expect_size=\"30620672\"] \n  1 -> 5 [size =\"30620672\"]\n  1 -> 6 [size =\"30620672\"]\n  2 [size=\"59871232\", alpha=\"0.16\", expect_size=\"29935616\"] \n  2 -> 6 [size =\"29935616\"]\n  2 -> 7 [size =\"29935616\"]\n  3 [size=\"29241344\", alpha=\"0.16\", expect_size=\"14620672\"] \n  4 [size=\"79908864\", alpha=\"0.07\", expect_size=\"39954432\"] \n  4 -> 5 [size =\"39954432\"]\n  5 [size=\"32520192\", alpha=\"0.14\", expect_size=\"16260096\"] \n  5 -> 10 [size =\"16260096\"]\n  5 -> 11 [size =\"16260096\"]\n  6 [size=\"80433152\", alpha=\"0.02\", expect_size=\"40216576\"] \n  6 -> 8 [size =\"40216576\"]\n  6 -> 9 [size =\"40216576\"]\n  6 -> 10 [size =\"40216576\"]\n  6 -> 11 [size =\"40216576\"]\n  7 [size=\"80019456\", alpha=\"0.01\", expect_size=\"40009728\"] \n  8 [size=\"82071552\", alpha=\"0.07\", expect_size=\"41035776\"] \n  9 [size=\"66209792\", alpha=\"0.13\", expect_size=\"33104896\"] \n  9 -> 12 [size =\"33104896\"]\n  9 -> 13 [size =\"33104896\"]\n  10 [size=\"12916736\", alpha=\"0.13\", expect_size=\"6458368\"] \n  11 [size=\"55431168\", alpha=\"0.12\", expect_size=\"27715584\"] \n  11 -> 12 [size =\"27715584\"]\n  11 -> 13 [size =\"27715584\"]\n  12 [size=\"42094592\", alpha=\"0.01\", expect_size=\"21047296\"] \n  12 -> 14 [size =\"21047296\"]\n  12 -> 15 [size =\"21047296\"]\n  13 [size=\"22396928\", alpha=\"0.06\", expect_size=\"11198464\"] \n  13 -> 16 [size =\"11198464\"]\n  14 [size=\"98506752\", alpha=\"0.18\", expect_size=\"49253376\"] \n  15 [size=\"39096320\", alpha=\"0.14\", expect_size=\"19548160\"] \n  15 -> 17 [size =\"19548160\"]\n  15 -> 18 [size =\"19548160\"]\n  16 [size=\"10639360\", alpha=\"0.13\", expect_size=\"5319680\"] \n  16 -> 19 [size =\"5319680\"]\n  17 [size=\"20121600\", alpha=\"0.17\", expect_size=\"10060800\"] \n  17 -> 20 [size =\"10060800\"]\n  17 -> 22 [size =\"10060800\"]\n  18 [size=\"24502272\", alpha=\"0.12\", expect_size=\"12251136\"] \n  18 -> 21 [size =\"12251136\"]\n  19 [size=\"55363584\", alpha=\"0.07\", expect_size=\"27681792\"] \n  19 -> 21 [size =\"27681792\"]\n  20 [size=\"22611968\", alpha=\"0.12\", expect_size=\"11305984\"] \n  20 -> 24 [size =\"11305984\"]\n  21 [size=\"84324352\", alpha=\"0.08\", expect_size=\"42162176\"] \n  22 [size=\"48791552\", alpha=\"0.14\", expect_size=\"24395776\"] \n  22 -> 23 [size =\"24395776\"]\n  23 [size=\"55027712\", alpha=\"0.04\", expect_size=\"27513856\"] \n  24 [size=\"82612224\", alpha=\"0.09\", expect_size=\"41306112\"] \n  24 -> 25 [size =\"41306112\"]\n  25 [size=\"71483392\", alpha=\"0.18\", expect_size=\"35741696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42253653\", alpha=\"0.07\", expect_size=\"12676096\"] \n  1 -> 17 [size =\"12676096\"]\n  1 -> 18 [size =\"12676096\"]\n  2 [size=\"49691307\", alpha=\"0.01\", expect_size=\"14907392\"] \n  2 -> 14 [size =\"14907392\"]\n  2 -> 17 [size =\"14907392\"]\n  2 -> 18 [size =\"14907392\"]\n  2 -> 19 [size =\"14907392\"]\n  2 -> 21 [size =\"14907392\"]\n  2 -> 23 [size =\"14907392\"]\n  3 [size=\"49861973\", alpha=\"0.14\", expect_size=\"14958592\"] \n  3 -> 14 [size =\"14958592\"]\n  3 -> 15 [size =\"14958592\"]\n  3 -> 16 [size =\"14958592\"]\n  3 -> 17 [size =\"14958592\"]\n  3 -> 18 [size =\"14958592\"]\n  4 [size=\"68495360\", alpha=\"0.05\", expect_size=\"20548608\"] \n  4 -> 14 [size =\"20548608\"]\n  4 -> 15 [size =\"20548608\"]\n  4 -> 16 [size =\"20548608\"]\n  4 -> 17 [size =\"20548608\"]\n  4 -> 22 [size =\"20548608\"]\n  5 [size=\"114373973\", alpha=\"0.17\", expect_size=\"34312192\"] \n  5 -> 14 [size =\"34312192\"]\n  5 -> 15 [size =\"34312192\"]\n  5 -> 18 [size =\"34312192\"]\n  5 -> 19 [size =\"34312192\"]\n  5 -> 22 [size =\"34312192\"]\n  5 -> 23 [size =\"34312192\"]\n  6 [size=\"36290560\", alpha=\"0.00\", expect_size=\"10887168\"] \n  6 -> 14 [size =\"10887168\"]\n  6 -> 15 [size =\"10887168\"]\n  6 -> 22 [size =\"10887168\"]\n  6 -> 23 [size =\"10887168\"]\n  7 [size=\"70761813\", alpha=\"0.19\", expect_size=\"21228544\"] \n  7 -> 15 [size =\"21228544\"]\n  7 -> 15 [size =\"21228544\"]\n  7 -> 22 [size =\"21228544\"]\n  7 -> 23 [size =\"21228544\"]\n  8 [size=\"126982827\", alpha=\"0.10\", expect_size=\"38094848\"] \n  9 [size=\"36703573\", alpha=\"0.03\", expect_size=\"11011072\"] \n  9 -> 14 [size =\"11011072\"]\n  9 -> 16 [size =\"11011072\"]\n  9 -> 18 [size =\"11011072\"]\n  9 -> 19 [size =\"11011072\"]\n  10 [size=\"93474133\", alpha=\"0.05\", expect_size=\"28042240\"] \n  10 -> 14 [size =\"28042240\"]\n  10 -> 20 [size =\"28042240\"]\n  10 -> 23 [size =\"28042240\"]\n  11 [size=\"161850027\", alpha=\"0.09\", expect_size=\"48555008\"] \n  11 -> 19 [size =\"48555008\"]\n  12 [size=\"63344640\", alpha=\"0.01\", expect_size=\"19003392\"] \n  12 -> 16 [size =\"19003392\"]\n  12 -> 17 [size =\"19003392\"]\n  12 -> 18 [size =\"19003392\"]\n  12 -> 21 [size =\"19003392\"]\n  12 -> 23 [size =\"19003392\"]\n  13 [size=\"72376320\", alpha=\"0.10\", expect_size=\"21712896\"] \n  13 -> 14 [size =\"21712896\"]\n  13 -> 15 [size =\"21712896\"]\n  13 -> 17 [size =\"21712896\"]\n  13 -> 18 [size =\"21712896\"]\n  13 -> 19 [size =\"21712896\"]\n  14 [size=\"21626880\", alpha=\"0.11\", expect_size=\"6488064\"] \n  14 -> 24 [size =\"6488064\"]\n  15 [size=\"63791787\", alpha=\"0.13\", expect_size=\"19137536\"] \n  15 -> 25 [size =\"19137536\"]\n  16 [size=\"36597760\", alpha=\"0.01\", expect_size=\"10979328\"] \n  16 -> 25 [size =\"10979328\"]\n  17 [size=\"37457920\", alpha=\"0.16\", expect_size=\"11237376\"] \n  17 -> 25 [size =\"11237376\"]\n  18 [size=\"26262187\", alpha=\"0.13\", expect_size=\"7878656\"] \n  18 -> 24 [size =\"7878656\"]\n  18 -> 25 [size =\"7878656\"]\n  19 [size=\"105789440\", alpha=\"0.01\", expect_size=\"31736832\"] \n  19 -> 24 [size =\"31736832\"]\n  19 -> 25 [size =\"31736832\"]\n  20 [size=\"130454187\", alpha=\"0.14\", expect_size=\"39136256\"] \n  21 [size=\"171380053\", alpha=\"0.10\", expect_size=\"51414016\"] \n  21 -> 24 [size =\"51414016\"]\n  22 [size=\"84930560\", alpha=\"0.09\", expect_size=\"25479168\"] \n  23 [size=\"90753707\", alpha=\"0.14\", expect_size=\"27226112\"] \n  23 -> 25 [size =\"27226112\"]\n  24 [size=\"172639573\", alpha=\"0.04\", expect_size=\"51791872\"] \n  25 [size=\"103639040\", alpha=\"0.07\", expect_size=\"31091712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163321173\", alpha=\"0.06\", expect_size=\"48996352\"] \n  1 -> 2 [size =\"48996352\"]\n  2 [size=\"168424107\", alpha=\"0.18\", expect_size=\"50527232\"] \n  2 -> 3 [size =\"50527232\"]\n  3 [size=\"120432640\", alpha=\"0.04\", expect_size=\"36129792\"] \n  3 -> 4 [size =\"36129792\"]\n  4 [size=\"81172480\", alpha=\"0.15\", expect_size=\"24351744\"] \n  4 -> 5 [size =\"24351744\"]\n  5 [size=\"99915093\", alpha=\"0.06\", expect_size=\"29974528\"] \n  5 -> 6 [size =\"29974528\"]\n  6 [size=\"18599253\", alpha=\"0.09\", expect_size=\"5579776\"] \n  6 -> 7 [size =\"5579776\"]\n  7 [size=\"19367253\", alpha=\"0.01\", expect_size=\"5810176\"] \n  7 -> 8 [size =\"5810176\"]\n  8 [size=\"165502293\", alpha=\"0.09\", expect_size=\"49650688\"] \n  8 -> 9 [size =\"49650688\"]\n  9 [size=\"88053760\", alpha=\"0.11\", expect_size=\"26416128\"] \n  9 -> 10 [size =\"26416128\"]\n  10 [size=\"101655893\", alpha=\"0.08\", expect_size=\"30496768\"] \n  10 -> 11 [size =\"30496768\"]\n  11 [size=\"135925760\", alpha=\"0.09\", expect_size=\"40777728\"] \n  11 -> 12 [size =\"40777728\"]\n  12 [size=\"29330773\", alpha=\"0.05\", expect_size=\"8799232\"] \n  12 -> 13 [size =\"8799232\"]\n  13 [size=\"170741760\", alpha=\"0.06\", expect_size=\"51222528\"] \n  13 -> 14 [size =\"51222528\"]\n  14 [size=\"41533440\", alpha=\"0.12\", expect_size=\"12460032\"] \n  14 -> 15 [size =\"12460032\"]\n  15 [size=\"159593813\", alpha=\"0.01\", expect_size=\"47878144\"] \n  15 -> 16 [size =\"47878144\"]\n  16 [size=\"47899307\", alpha=\"0.09\", expect_size=\"14369792\"] \n  16 -> 17 [size =\"14369792\"]\n  17 [size=\"114940587\", alpha=\"0.11\", expect_size=\"34482176\"] \n  17 -> 18 [size =\"34482176\"]\n  18 [size=\"119808000\", alpha=\"0.20\", expect_size=\"35942400\"] \n  18 -> 19 [size =\"35942400\"]\n  19 [size=\"35590827\", alpha=\"0.16\", expect_size=\"10677248\"] \n  19 -> 20 [size =\"10677248\"]\n  20 [size=\"124514987\", alpha=\"0.11\", expect_size=\"37354496\"] \n  20 -> 21 [size =\"37354496\"]\n  21 [size=\"26996053\", alpha=\"0.05\", expect_size=\"8098816\"] \n  21 -> 22 [size =\"8098816\"]\n  22 [size=\"98969600\", alpha=\"0.17\", expect_size=\"29690880\"] \n  22 -> 23 [size =\"29690880\"]\n  23 [size=\"136714240\", alpha=\"0.03\", expect_size=\"41014272\"] \n  23 -> 24 [size =\"41014272\"]\n  24 [size=\"25733120\", alpha=\"0.17\", expect_size=\"7719936\"] \n  24 -> 25 [size =\"7719936\"]\n  25 [size=\"121255253\", alpha=\"0.01\", expect_size=\"36376576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14798848\", alpha=\"0.11\", expect_size=\"7399424\"] \n  1 -> 23 [size =\"7399424\"]\n  2 [size=\"40906752\", alpha=\"0.14\", expect_size=\"20453376\"] \n  2 -> 25 [size =\"20453376\"]\n  3 [size=\"27187200\", alpha=\"0.10\", expect_size=\"13593600\"] \n  3 -> 23 [size =\"13593600\"]\n  3 -> 24 [size =\"13593600\"]\n  3 -> 25 [size =\"13593600\"]\n  4 [size=\"11579392\", alpha=\"0.13\", expect_size=\"5789696\"] \n  4 -> 24 [size =\"5789696\"]\n  5 [size=\"82585600\", alpha=\"0.19\", expect_size=\"41292800\"] \n  6 [size=\"45494272\", alpha=\"0.15\", expect_size=\"22747136\"] \n  7 [size=\"73578496\", alpha=\"0.03\", expect_size=\"36789248\"] \n  8 [size=\"28702720\", alpha=\"0.17\", expect_size=\"14351360\"] \n  8 -> 23 [size =\"14351360\"]\n  9 [size=\"53071872\", alpha=\"0.12\", expect_size=\"26535936\"] \n  9 -> 25 [size =\"26535936\"]\n  10 [size=\"40249344\", alpha=\"0.11\", expect_size=\"20124672\"] \n  10 -> 23 [size =\"20124672\"]\n  11 [size=\"81307648\", alpha=\"0.17\", expect_size=\"40653824\"] \n  11 -> 23 [size =\"40653824\"]\n  12 [size=\"40210432\", alpha=\"0.16\", expect_size=\"20105216\"] \n  12 -> 24 [size =\"20105216\"]\n  12 -> 25 [size =\"20105216\"]\n  13 [size=\"104755200\", alpha=\"0.03\", expect_size=\"52377600\"] \n  14 [size=\"58587136\", alpha=\"0.06\", expect_size=\"29293568\"] \n  14 -> 23 [size =\"29293568\"]\n  14 -> 24 [size =\"29293568\"]\n  15 [size=\"25901056\", alpha=\"0.17\", expect_size=\"12950528\"] \n  15 -> 23 [size =\"12950528\"]\n  16 [size=\"21874688\", alpha=\"0.07\", expect_size=\"10937344\"] \n  16 -> 23 [size =\"10937344\"]\n  17 [size=\"91967488\", alpha=\"0.16\", expect_size=\"45983744\"] \n  17 -> 24 [size =\"45983744\"]\n  17 -> 25 [size =\"45983744\"]\n  18 [size=\"11235328\", alpha=\"0.10\", expect_size=\"5617664\"] \n  18 -> 23 [size =\"5617664\"]\n  18 -> 24 [size =\"5617664\"]\n  19 [size=\"91179008\", alpha=\"0.00\", expect_size=\"45589504\"] \n  19 -> 23 [size =\"45589504\"]\n  19 -> 25 [size =\"45589504\"]\n  20 [size=\"53803008\", alpha=\"0.15\", expect_size=\"26901504\"] \n  20 -> 23 [size =\"26901504\"]\n  21 [size=\"12029952\", alpha=\"0.11\", expect_size=\"6014976\"] \n  21 -> 23 [size =\"6014976\"]\n  22 [size=\"93038592\", alpha=\"0.13\", expect_size=\"46519296\"] \n  22 -> 23 [size =\"46519296\"]\n  23 [size=\"73150464\", alpha=\"0.19\", expect_size=\"36575232\"] \n  24 [size=\"89137152\", alpha=\"0.05\", expect_size=\"44568576\"] \n  25 [size=\"23310336\", alpha=\"0.06\", expect_size=\"11655168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68082347\", alpha=\"0.08\", expect_size=\"20424704\"] \n  2 [size=\"28200960\", alpha=\"0.11\", expect_size=\"8460288\"] \n  2 -> 3 [size =\"8460288\"]\n  3 [size=\"25760427\", alpha=\"0.03\", expect_size=\"7728128\"] \n  3 -> 4 [size =\"7728128\"]\n  4 [size=\"144745813\", alpha=\"0.19\", expect_size=\"43423744\"] \n  4 -> 5 [size =\"43423744\"]\n  4 -> 6 [size =\"43423744\"]\n  5 [size=\"63645013\", alpha=\"0.10\", expect_size=\"19093504\"] \n  5 -> 8 [size =\"19093504\"]\n  6 [size=\"169253547\", alpha=\"0.13\", expect_size=\"50776064\"] \n  6 -> 7 [size =\"50776064\"]\n  7 [size=\"160252587\", alpha=\"0.18\", expect_size=\"48075776\"] \n  7 -> 9 [size =\"48075776\"]\n  8 [size=\"27293013\", alpha=\"0.04\", expect_size=\"8187904\"] \n  9 [size=\"35403093\", alpha=\"0.00\", expect_size=\"10620928\"] \n  9 -> 10 [size =\"10620928\"]\n  10 [size=\"25661440\", alpha=\"0.15\", expect_size=\"7698432\"] \n  10 -> 11 [size =\"7698432\"]\n  11 [size=\"20131840\", alpha=\"0.13\", expect_size=\"6039552\"] \n  11 -> 12 [size =\"6039552\"]\n  12 [size=\"83848533\", alpha=\"0.19\", expect_size=\"25154560\"] \n  12 -> 13 [size =\"25154560\"]\n  13 [size=\"173684053\", alpha=\"0.18\", expect_size=\"52105216\"] \n  13 -> 14 [size =\"52105216\"]\n  13 -> 15 [size =\"52105216\"]\n  14 [size=\"37389653\", alpha=\"0.06\", expect_size=\"11216896\"] \n  14 -> 16 [size =\"11216896\"]\n  15 [size=\"25937920\", alpha=\"0.14\", expect_size=\"7781376\"] \n  15 -> 17 [size =\"7781376\"]\n  16 [size=\"100662613\", alpha=\"0.08\", expect_size=\"30198784\"] \n  16 -> 19 [size =\"30198784\"]\n  17 [size=\"41871360\", alpha=\"0.01\", expect_size=\"12561408\"] \n  17 -> 18 [size =\"12561408\"]\n  18 [size=\"24606720\", alpha=\"0.19\", expect_size=\"7382016\"] \n  18 -> 20 [size =\"7382016\"]\n  18 -> 21 [size =\"7382016\"]\n  19 [size=\"52613120\", alpha=\"0.08\", expect_size=\"15783936\"] \n  20 [size=\"54688427\", alpha=\"0.12\", expect_size=\"16406528\"] \n  20 -> 22 [size =\"16406528\"]\n  20 -> 23 [size =\"16406528\"]\n  21 [size=\"174223360\", alpha=\"0.02\", expect_size=\"52267008\"] \n  22 [size=\"120565760\", alpha=\"0.14\", expect_size=\"36169728\"] \n  22 -> 24 [size =\"36169728\"]\n  23 [size=\"116060160\", alpha=\"0.07\", expect_size=\"34818048\"] \n  23 -> 25 [size =\"34818048\"]\n  24 [size=\"101212160\", alpha=\"0.16\", expect_size=\"30363648\"] \n  25 [size=\"144503467\", alpha=\"0.11\", expect_size=\"43351040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42798080\", alpha=\"0.06\", expect_size=\"17119232\"] \n  1 -> 22 [size =\"17119232\"]\n  2 [size=\"36707840\", alpha=\"0.17\", expect_size=\"14683136\"] \n  2 -> 22 [size =\"14683136\"]\n  3 [size=\"59371520\", alpha=\"0.01\", expect_size=\"23748608\"] \n  4 [size=\"89907200\", alpha=\"0.17\", expect_size=\"35962880\"] \n  5 [size=\"98117120\", alpha=\"0.14\", expect_size=\"39246848\"] \n  5 -> 21 [size =\"39246848\"]\n  5 -> 22 [size =\"39246848\"]\n  5 -> 24 [size =\"39246848\"]\n  6 [size=\"62218240\", alpha=\"0.08\", expect_size=\"24887296\"] \n  6 -> 22 [size =\"24887296\"]\n  6 -> 23 [size =\"24887296\"]\n  7 [size=\"65489920\", alpha=\"0.09\", expect_size=\"26195968\"] \n  7 -> 21 [size =\"26195968\"]\n  7 -> 22 [size =\"26195968\"]\n  8 [size=\"32089600\", alpha=\"0.05\", expect_size=\"12835840\"] \n  8 -> 20 [size =\"12835840\"]\n  8 -> 23 [size =\"12835840\"]\n  8 -> 25 [size =\"12835840\"]\n  9 [size=\"104017920\", alpha=\"0.19\", expect_size=\"41607168\"] \n  9 -> 20 [size =\"41607168\"]\n  9 -> 21 [size =\"41607168\"]\n  9 -> 25 [size =\"41607168\"]\n  10 [size=\"18708480\", alpha=\"0.17\", expect_size=\"7483392\"] \n  10 -> 21 [size =\"7483392\"]\n  10 -> 21 [size =\"7483392\"]\n  10 -> 23 [size =\"7483392\"]\n  11 [size=\"28523520\", alpha=\"0.08\", expect_size=\"11409408\"] \n  11 -> 21 [size =\"11409408\"]\n  12 [size=\"63418880\", alpha=\"0.06\", expect_size=\"25367552\"] \n  12 -> 20 [size =\"25367552\"]\n  12 -> 21 [size =\"25367552\"]\n  12 -> 22 [size =\"25367552\"]\n  13 [size=\"46725120\", alpha=\"0.00\", expect_size=\"18690048\"] \n  13 -> 20 [size =\"18690048\"]\n  13 -> 23 [size =\"18690048\"]\n  14 [size=\"51709440\", alpha=\"0.05\", expect_size=\"20683776\"] \n  14 -> 20 [size =\"20683776\"]\n  15 [size=\"34419200\", alpha=\"0.12\", expect_size=\"13767680\"] \n  15 -> 20 [size =\"13767680\"]\n  15 -> 22 [size =\"13767680\"]\n  16 [size=\"114086400\", alpha=\"0.08\", expect_size=\"45634560\"] \n  16 -> 23 [size =\"45634560\"]\n  17 [size=\"41006080\", alpha=\"0.01\", expect_size=\"16402432\"] \n  17 -> 20 [size =\"16402432\"]\n  17 -> 22 [size =\"16402432\"]\n  17 -> 23 [size =\"16402432\"]\n  18 [size=\"93470720\", alpha=\"0.03\", expect_size=\"37388288\"] \n  18 -> 20 [size =\"37388288\"]\n  18 -> 22 [size =\"37388288\"]\n  18 -> 23 [size =\"37388288\"]\n  19 [size=\"123153920\", alpha=\"0.19\", expect_size=\"49261568\"] \n  19 -> 20 [size =\"49261568\"]\n  19 -> 22 [size =\"49261568\"]\n  19 -> 25 [size =\"49261568\"]\n  20 [size=\"118356480\", alpha=\"0.12\", expect_size=\"47342592\"] \n  21 [size=\"99919360\", alpha=\"0.11\", expect_size=\"39967744\"] \n  22 [size=\"31751680\", alpha=\"0.14\", expect_size=\"12700672\"] \n  23 [size=\"66352640\", alpha=\"0.04\", expect_size=\"26541056\"] \n  24 [size=\"67251200\", alpha=\"0.08\", expect_size=\"26900480\"] \n  25 [size=\"95605760\", alpha=\"0.06\", expect_size=\"38242304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78594048\", alpha=\"0.03\", expect_size=\"39297024\"] \n  1 -> 15 [size =\"39297024\"]\n  1 -> 16 [size =\"39297024\"]\n  2 [size=\"66818048\", alpha=\"0.00\", expect_size=\"33409024\"] \n  2 -> 9 [size =\"33409024\"]\n  2 -> 13 [size =\"33409024\"]\n  3 [size=\"94287872\", alpha=\"0.10\", expect_size=\"47143936\"] \n  3 -> 11 [size =\"47143936\"]\n  3 -> 12 [size =\"47143936\"]\n  4 [size=\"14315520\", alpha=\"0.14\", expect_size=\"7157760\"] \n  4 -> 9 [size =\"7157760\"]\n  4 -> 12 [size =\"7157760\"]\n  4 -> 14 [size =\"7157760\"]\n  5 [size=\"38809600\", alpha=\"0.19\", expect_size=\"19404800\"] \n  5 -> 13 [size =\"19404800\"]\n  5 -> 14 [size =\"19404800\"]\n  6 [size=\"26929152\", alpha=\"0.02\", expect_size=\"13464576\"] \n  6 -> 15 [size =\"13464576\"]\n  7 [size=\"37261312\", alpha=\"0.08\", expect_size=\"18630656\"] \n  7 -> 14 [size =\"18630656\"]\n  7 -> 15 [size =\"18630656\"]\n  7 -> 16 [size =\"18630656\"]\n  8 [size=\"14897152\", alpha=\"0.04\", expect_size=\"7448576\"] \n  8 -> 10 [size =\"7448576\"]\n  8 -> 11 [size =\"7448576\"]\n  8 -> 12 [size =\"7448576\"]\n  8 -> 15 [size =\"7448576\"]\n  8 -> 16 [size =\"7448576\"]\n  9 [size=\"76847104\", alpha=\"0.04\", expect_size=\"38423552\"] \n  9 -> 17 [size =\"38423552\"]\n  9 -> 21 [size =\"38423552\"]\n  9 -> 24 [size =\"38423552\"]\n  10 [size=\"51265536\", alpha=\"0.12\", expect_size=\"25632768\"] \n  10 -> 19 [size =\"25632768\"]\n  10 -> 22 [size =\"25632768\"]\n  11 [size=\"38082560\", alpha=\"0.15\", expect_size=\"19041280\"] \n  11 -> 17 [size =\"19041280\"]\n  11 -> 25 [size =\"19041280\"]\n  12 [size=\"51836928\", alpha=\"0.05\", expect_size=\"25918464\"] \n  12 -> 23 [size =\"25918464\"]\n  12 -> 25 [size =\"25918464\"]\n  13 [size=\"52598784\", alpha=\"0.06\", expect_size=\"26299392\"] \n  13 -> 17 [size =\"26299392\"]\n  13 -> 18 [size =\"26299392\"]\n  13 -> 24 [size =\"26299392\"]\n  14 [size=\"97970176\", alpha=\"0.05\", expect_size=\"48985088\"] \n  14 -> 18 [size =\"48985088\"]\n  15 [size=\"70701056\", alpha=\"0.16\", expect_size=\"35350528\"] \n  15 -> 18 [size =\"35350528\"]\n  15 -> 22 [size =\"35350528\"]\n  16 [size=\"66318336\", alpha=\"0.00\", expect_size=\"33159168\"] \n  16 -> 17 [size =\"33159168\"]\n  16 -> 19 [size =\"33159168\"]\n  16 -> 20 [size =\"33159168\"]\n  17 [size=\"75685888\", alpha=\"0.18\", expect_size=\"37842944\"] \n  18 [size=\"20551680\", alpha=\"0.12\", expect_size=\"10275840\"] \n  19 [size=\"39931904\", alpha=\"0.05\", expect_size=\"19965952\"] \n  20 [size=\"58175488\", alpha=\"0.01\", expect_size=\"29087744\"] \n  21 [size=\"21012480\", alpha=\"0.10\", expect_size=\"10506240\"] \n  22 [size=\"94083072\", alpha=\"0.12\", expect_size=\"47041536\"] \n  23 [size=\"21202944\", alpha=\"0.11\", expect_size=\"10601472\"] \n  24 [size=\"49020928\", alpha=\"0.12\", expect_size=\"24510464\"] \n  25 [size=\"73418752\", alpha=\"0.18\", expect_size=\"36709376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17704960\", alpha=\"0.01\", expect_size=\"7081984\"] \n  1 -> 6 [size =\"7081984\"]\n  1 -> 9 [size =\"7081984\"]\n  2 [size=\"22609920\", alpha=\"0.17\", expect_size=\"9043968\"] \n  2 -> 8 [size =\"9043968\"]\n  3 [size=\"20293120\", alpha=\"0.14\", expect_size=\"8117248\"] \n  3 -> 6 [size =\"8117248\"]\n  3 -> 8 [size =\"8117248\"]\n  4 [size=\"119534080\", alpha=\"0.11\", expect_size=\"47813632\"] \n  4 -> 7 [size =\"47813632\"]\n  4 -> 8 [size =\"47813632\"]\n  5 [size=\"16435200\", alpha=\"0.08\", expect_size=\"6574080\"] \n  5 -> 9 [size =\"6574080\"]\n  6 [size=\"43343360\", alpha=\"0.20\", expect_size=\"17337344\"] \n  6 -> 10 [size =\"17337344\"]\n  6 -> 11 [size =\"17337344\"]\n  6 -> 13 [size =\"17337344\"]\n  7 [size=\"92029440\", alpha=\"0.02\", expect_size=\"36811776\"] \n  7 -> 11 [size =\"36811776\"]\n  7 -> 12 [size =\"36811776\"]\n  7 -> 13 [size =\"36811776\"]\n  8 [size=\"110942720\", alpha=\"0.03\", expect_size=\"44377088\"] \n  8 -> 10 [size =\"44377088\"]\n  8 -> 11 [size =\"44377088\"]\n  9 [size=\"89410560\", alpha=\"0.02\", expect_size=\"35764224\"] \n  9 -> 10 [size =\"35764224\"]\n  9 -> 11 [size =\"35764224\"]\n  9 -> 12 [size =\"35764224\"]\n  9 -> 13 [size =\"35764224\"]\n  9 -> 14 [size =\"35764224\"]\n  10 [size=\"13708800\", alpha=\"0.14\", expect_size=\"5483520\"] \n  10 -> 15 [size =\"5483520\"]\n  10 -> 17 [size =\"5483520\"]\n  11 [size=\"109798400\", alpha=\"0.06\", expect_size=\"43919360\"] \n  11 -> 16 [size =\"43919360\"]\n  12 [size=\"115942400\", alpha=\"0.02\", expect_size=\"46376960\"] \n  12 -> 15 [size =\"46376960\"]\n  13 [size=\"96701440\", alpha=\"0.16\", expect_size=\"38680576\"] \n  13 -> 16 [size =\"38680576\"]\n  13 -> 17 [size =\"38680576\"]\n  14 [size=\"62709760\", alpha=\"0.15\", expect_size=\"25083904\"] \n  14 -> 15 [size =\"25083904\"]\n  15 [size=\"127795200\", alpha=\"0.10\", expect_size=\"51118080\"] \n  15 -> 19 [size =\"51118080\"]\n  16 [size=\"54840320\", alpha=\"0.13\", expect_size=\"21936128\"] \n  16 -> 18 [size =\"21936128\"]\n  16 -> 19 [size =\"21936128\"]\n  17 [size=\"54046720\", alpha=\"0.05\", expect_size=\"21618688\"] \n  17 -> 19 [size =\"21618688\"]\n  18 [size=\"63370240\", alpha=\"0.01\", expect_size=\"25348096\"] \n  18 -> 20 [size =\"25348096\"]\n  18 -> 21 [size =\"25348096\"]\n  18 -> 22 [size =\"25348096\"]\n  18 -> 23 [size =\"25348096\"]\n  19 [size=\"80599040\", alpha=\"0.12\", expect_size=\"32239616\"] \n  19 -> 20 [size =\"32239616\"]\n  19 -> 22 [size =\"32239616\"]\n  19 -> 23 [size =\"32239616\"]\n  20 [size=\"93350400\", alpha=\"0.03\", expect_size=\"37340160\"] \n  20 -> 24 [size =\"37340160\"]\n  21 [size=\"56924160\", alpha=\"0.16\", expect_size=\"22769664\"] \n  21 -> 25 [size =\"22769664\"]\n  22 [size=\"92925440\", alpha=\"0.10\", expect_size=\"37170176\"] \n  22 -> 25 [size =\"37170176\"]\n  23 [size=\"105167360\", alpha=\"0.05\", expect_size=\"42066944\"] \n  23 -> 25 [size =\"42066944\"]\n  24 [size=\"80501760\", alpha=\"0.18\", expect_size=\"32200704\"] \n  25 [size=\"52728320\", alpha=\"0.11\", expect_size=\"21091328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69955584\", alpha=\"0.19\", expect_size=\"34977792\"] \n  1 -> 2 [size =\"34977792\"]\n  2 [size=\"59338752\", alpha=\"0.18\", expect_size=\"29669376\"] \n  2 -> 3 [size =\"29669376\"]\n  3 [size=\"15462400\", alpha=\"0.09\", expect_size=\"7731200\"] \n  3 -> 4 [size =\"7731200\"]\n  4 [size=\"15413248\", alpha=\"0.20\", expect_size=\"7706624\"] \n  4 -> 5 [size =\"7706624\"]\n  5 [size=\"66166784\", alpha=\"0.04\", expect_size=\"33083392\"] \n  5 -> 6 [size =\"33083392\"]\n  6 [size=\"87199744\", alpha=\"0.06\", expect_size=\"43599872\"] \n  6 -> 7 [size =\"43599872\"]\n  7 [size=\"100530176\", alpha=\"0.10\", expect_size=\"50265088\"] \n  7 -> 8 [size =\"50265088\"]\n  8 [size=\"65910784\", alpha=\"0.20\", expect_size=\"32955392\"] \n  8 -> 9 [size =\"32955392\"]\n  9 [size=\"60311552\", alpha=\"0.08\", expect_size=\"30155776\"] \n  9 -> 10 [size =\"30155776\"]\n  10 [size=\"12464128\", alpha=\"0.05\", expect_size=\"6232064\"] \n  10 -> 11 [size =\"6232064\"]\n  11 [size=\"55490560\", alpha=\"0.06\", expect_size=\"27745280\"] \n  11 -> 12 [size =\"27745280\"]\n  12 [size=\"53041152\", alpha=\"0.05\", expect_size=\"26520576\"] \n  12 -> 13 [size =\"26520576\"]\n  13 [size=\"41967616\", alpha=\"0.15\", expect_size=\"20983808\"] \n  13 -> 14 [size =\"20983808\"]\n  14 [size=\"84486144\", alpha=\"0.02\", expect_size=\"42243072\"] \n  14 -> 15 [size =\"42243072\"]\n  15 [size=\"82212864\", alpha=\"0.13\", expect_size=\"41106432\"] \n  15 -> 16 [size =\"41106432\"]\n  16 [size=\"101230592\", alpha=\"0.15\", expect_size=\"50615296\"] \n  16 -> 17 [size =\"50615296\"]\n  17 [size=\"37488640\", alpha=\"0.01\", expect_size=\"18744320\"] \n  17 -> 18 [size =\"18744320\"]\n  18 [size=\"84264960\", alpha=\"0.02\", expect_size=\"42132480\"] \n  18 -> 19 [size =\"42132480\"]\n  19 [size=\"84140032\", alpha=\"0.11\", expect_size=\"42070016\"] \n  19 -> 20 [size =\"42070016\"]\n  20 [size=\"25462784\", alpha=\"0.12\", expect_size=\"12731392\"] \n  20 -> 21 [size =\"12731392\"]\n  21 [size=\"50714624\", alpha=\"0.06\", expect_size=\"25357312\"] \n  21 -> 22 [size =\"25357312\"]\n  22 [size=\"78927872\", alpha=\"0.11\", expect_size=\"39463936\"] \n  22 -> 23 [size =\"39463936\"]\n  23 [size=\"100825088\", alpha=\"0.16\", expect_size=\"50412544\"] \n  23 -> 24 [size =\"50412544\"]\n  24 [size=\"75096064\", alpha=\"0.03\", expect_size=\"37548032\"] \n  24 -> 25 [size =\"37548032\"]\n  25 [size=\"86732800\", alpha=\"0.01\", expect_size=\"43366400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39065600\", alpha=\"0.17\", expect_size=\"11719680\"] \n  1 -> 3 [size =\"11719680\"]\n  2 [size=\"46656853\", alpha=\"0.02\", expect_size=\"13997056\"] \n  2 -> 3 [size =\"13997056\"]\n  3 [size=\"108537173\", alpha=\"0.18\", expect_size=\"32561152\"] \n  3 -> 4 [size =\"32561152\"]\n  3 -> 5 [size =\"32561152\"]\n  4 [size=\"111725227\", alpha=\"0.07\", expect_size=\"33517568\"] \n  4 -> 6 [size =\"33517568\"]\n  4 -> 7 [size =\"33517568\"]\n  5 [size=\"51165867\", alpha=\"0.12\", expect_size=\"15349760\"] \n  5 -> 6 [size =\"15349760\"]\n  5 -> 7 [size =\"15349760\"]\n  6 [size=\"169581227\", alpha=\"0.06\", expect_size=\"50874368\"] \n  6 -> 9 [size =\"50874368\"]\n  7 [size=\"113087147\", alpha=\"0.05\", expect_size=\"33926144\"] \n  7 -> 8 [size =\"33926144\"]\n  7 -> 9 [size =\"33926144\"]\n  8 [size=\"75509760\", alpha=\"0.12\", expect_size=\"22652928\"] \n  8 -> 10 [size =\"22652928\"]\n  8 -> 11 [size =\"22652928\"]\n  9 [size=\"58781013\", alpha=\"0.01\", expect_size=\"17634304\"] \n  9 -> 10 [size =\"17634304\"]\n  9 -> 11 [size =\"17634304\"]\n  10 [size=\"128856747\", alpha=\"0.04\", expect_size=\"38657024\"] \n  10 -> 12 [size =\"38657024\"]\n  10 -> 13 [size =\"38657024\"]\n  11 [size=\"58781013\", alpha=\"0.05\", expect_size=\"17634304\"] \n  11 -> 12 [size =\"17634304\"]\n  11 -> 13 [size =\"17634304\"]\n  12 [size=\"32006827\", alpha=\"0.16\", expect_size=\"9602048\"] \n  12 -> 14 [size =\"9602048\"]\n  12 -> 15 [size =\"9602048\"]\n  13 [size=\"48510293\", alpha=\"0.19\", expect_size=\"14553088\"] \n  13 -> 14 [size =\"14553088\"]\n  13 -> 15 [size =\"14553088\"]\n  14 [size=\"35880960\", alpha=\"0.18\", expect_size=\"10764288\"] \n  15 [size=\"94245547\", alpha=\"0.10\", expect_size=\"28273664\"] \n  15 -> 16 [size =\"28273664\"]\n  16 [size=\"34891093\", alpha=\"0.09\", expect_size=\"10467328\"] \n  16 -> 17 [size =\"10467328\"]\n  16 -> 18 [size =\"10467328\"]\n  17 [size=\"81803947\", alpha=\"0.04\", expect_size=\"24541184\"] \n  17 -> 20 [size =\"24541184\"]\n  18 [size=\"124026880\", alpha=\"0.14\", expect_size=\"37208064\"] \n  18 -> 19 [size =\"37208064\"]\n  18 -> 20 [size =\"37208064\"]\n  19 [size=\"62559573\", alpha=\"0.15\", expect_size=\"18767872\"] \n  19 -> 21 [size =\"18767872\"]\n  20 [size=\"72209067\", alpha=\"0.03\", expect_size=\"21662720\"] \n  21 [size=\"107188907\", alpha=\"0.13\", expect_size=\"32156672\"] \n  21 -> 22 [size =\"32156672\"]\n  22 [size=\"148466347\", alpha=\"0.07\", expect_size=\"44539904\"] \n  22 -> 23 [size =\"44539904\"]\n  23 [size=\"116578987\", alpha=\"0.12\", expect_size=\"34973696\"] \n  23 -> 24 [size =\"34973696\"]\n  24 [size=\"107444907\", alpha=\"0.10\", expect_size=\"32233472\"] \n  24 -> 25 [size =\"32233472\"]\n  25 [size=\"93091840\", alpha=\"0.12\", expect_size=\"27927552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58662912\", alpha=\"0.14\", expect_size=\"29331456\"] \n  1 -> 2 [size =\"29331456\"]\n  1 -> 3 [size =\"29331456\"]\n  2 [size=\"56418304\", alpha=\"0.18\", expect_size=\"28209152\"] \n  2 -> 4 [size =\"28209152\"]\n  3 [size=\"16254976\", alpha=\"0.06\", expect_size=\"8127488\"] \n  3 -> 4 [size =\"8127488\"]\n  4 [size=\"95809536\", alpha=\"0.07\", expect_size=\"47904768\"] \n  4 -> 5 [size =\"47904768\"]\n  5 [size=\"45948928\", alpha=\"0.13\", expect_size=\"22974464\"] \n  5 -> 6 [size =\"22974464\"]\n  6 [size=\"72722432\", alpha=\"0.11\", expect_size=\"36361216\"] \n  6 -> 7 [size =\"36361216\"]\n  6 -> 8 [size =\"36361216\"]\n  7 [size=\"24270848\", alpha=\"0.01\", expect_size=\"12135424\"] \n  8 [size=\"30629888\", alpha=\"0.06\", expect_size=\"15314944\"] \n  8 -> 9 [size =\"15314944\"]\n  9 [size=\"54571008\", alpha=\"0.09\", expect_size=\"27285504\"] \n  9 -> 10 [size =\"27285504\"]\n  10 [size=\"99930112\", alpha=\"0.01\", expect_size=\"49965056\"] \n  10 -> 11 [size =\"49965056\"]\n  11 [size=\"73957376\", alpha=\"0.04\", expect_size=\"36978688\"] \n  11 -> 12 [size =\"36978688\"]\n  12 [size=\"47898624\", alpha=\"0.02\", expect_size=\"23949312\"] \n  12 -> 13 [size =\"23949312\"]\n  13 [size=\"37664768\", alpha=\"0.20\", expect_size=\"18832384\"] \n  13 -> 14 [size =\"18832384\"]\n  14 [size=\"63825920\", alpha=\"0.14\", expect_size=\"31912960\"] \n  14 -> 15 [size =\"31912960\"]\n  15 [size=\"98988032\", alpha=\"0.03\", expect_size=\"49494016\"] \n  15 -> 16 [size =\"49494016\"]\n  15 -> 17 [size =\"49494016\"]\n  16 [size=\"66570240\", alpha=\"0.14\", expect_size=\"33285120\"] \n  17 [size=\"26146816\", alpha=\"0.12\", expect_size=\"13073408\"] \n  17 -> 18 [size =\"13073408\"]\n  18 [size=\"28698624\", alpha=\"0.13\", expect_size=\"14349312\"] \n  18 -> 19 [size =\"14349312\"]\n  19 [size=\"57663488\", alpha=\"0.11\", expect_size=\"28831744\"] \n  19 -> 20 [size =\"28831744\"]\n  19 -> 21 [size =\"28831744\"]\n  20 [size=\"100642816\", alpha=\"0.19\", expect_size=\"50321408\"] \n  20 -> 22 [size =\"50321408\"]\n  20 -> 23 [size =\"50321408\"]\n  21 [size=\"103327744\", alpha=\"0.18\", expect_size=\"51663872\"] \n  22 [size=\"29030400\", alpha=\"0.06\", expect_size=\"14515200\"] \n  22 -> 24 [size =\"14515200\"]\n  22 -> 25 [size =\"14515200\"]\n  23 [size=\"38881280\", alpha=\"0.15\", expect_size=\"19440640\"] \n  23 -> 24 [size =\"19440640\"]\n  23 -> 25 [size =\"19440640\"]\n  24 [size=\"38475776\", alpha=\"0.03\", expect_size=\"19237888\"] \n  25 [size=\"10967040\", alpha=\"0.18\", expect_size=\"5483520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32290133\", alpha=\"0.06\", expect_size=\"9687040\"] \n  1 -> 2 [size =\"9687040\"]\n  1 -> 3 [size =\"9687040\"]\n  2 [size=\"66556587\", alpha=\"0.12\", expect_size=\"19966976\"] \n  2 -> 4 [size =\"19966976\"]\n  2 -> 5 [size =\"19966976\"]\n  3 [size=\"147486720\", alpha=\"0.06\", expect_size=\"44246016\"] \n  3 -> 4 [size =\"44246016\"]\n  4 [size=\"118046720\", alpha=\"0.16\", expect_size=\"35414016\"] \n  4 -> 6 [size =\"35414016\"]\n  5 [size=\"107178667\", alpha=\"0.07\", expect_size=\"32153600\"] \n  6 [size=\"88715947\", alpha=\"0.07\", expect_size=\"26614784\"] \n  6 -> 7 [size =\"26614784\"]\n  7 [size=\"143616000\", alpha=\"0.15\", expect_size=\"43084800\"] \n  7 -> 8 [size =\"43084800\"]\n  8 [size=\"73966933\", alpha=\"0.08\", expect_size=\"22190080\"] \n  8 -> 9 [size =\"22190080\"]\n  9 [size=\"88572587\", alpha=\"0.08\", expect_size=\"26571776\"] \n  9 -> 10 [size =\"26571776\"]\n  10 [size=\"107277653\", alpha=\"0.15\", expect_size=\"32183296\"] \n  10 -> 11 [size =\"32183296\"]\n  10 -> 12 [size =\"32183296\"]\n  11 [size=\"42236587\", alpha=\"0.11\", expect_size=\"12670976\"] \n  11 -> 13 [size =\"12670976\"]\n  11 -> 14 [size =\"12670976\"]\n  12 [size=\"91176960\", alpha=\"0.18\", expect_size=\"27353088\"] \n  12 -> 13 [size =\"27353088\"]\n  13 [size=\"30286507\", alpha=\"0.18\", expect_size=\"9085952\"] \n  13 -> 15 [size =\"9085952\"]\n  13 -> 16 [size =\"9085952\"]\n  14 [size=\"75260587\", alpha=\"0.20\", expect_size=\"22578176\"] \n  14 -> 15 [size =\"22578176\"]\n  14 -> 16 [size =\"22578176\"]\n  15 [size=\"45530453\", alpha=\"0.04\", expect_size=\"13659136\"] \n  15 -> 17 [size =\"13659136\"]\n  16 [size=\"100597760\", alpha=\"0.18\", expect_size=\"30179328\"] \n  16 -> 17 [size =\"30179328\"]\n  17 [size=\"156119040\", alpha=\"0.15\", expect_size=\"46835712\"] \n  17 -> 18 [size =\"46835712\"]\n  18 [size=\"116797440\", alpha=\"0.07\", expect_size=\"35039232\"] \n  18 -> 19 [size =\"35039232\"]\n  18 -> 20 [size =\"35039232\"]\n  19 [size=\"22988800\", alpha=\"0.19\", expect_size=\"6896640\"] \n  19 -> 21 [size =\"6896640\"]\n  20 [size=\"82029227\", alpha=\"0.10\", expect_size=\"24608768\"] \n  20 -> 21 [size =\"24608768\"]\n  21 [size=\"38983680\", alpha=\"0.02\", expect_size=\"11695104\"] \n  21 -> 22 [size =\"11695104\"]\n  21 -> 23 [size =\"11695104\"]\n  22 [size=\"124613973\", alpha=\"0.00\", expect_size=\"37384192\"] \n  23 [size=\"111629653\", alpha=\"0.15\", expect_size=\"33488896\"] \n  23 -> 24 [size =\"33488896\"]\n  24 [size=\"98095787\", alpha=\"0.03\", expect_size=\"29428736\"] \n  24 -> 25 [size =\"29428736\"]\n  25 [size=\"94201173\", alpha=\"0.02\", expect_size=\"28260352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79685120\", alpha=\"0.06\", expect_size=\"31874048\"] \n  1 -> 13 [size =\"31874048\"]\n  1 -> 14 [size =\"31874048\"]\n  1 -> 19 [size =\"31874048\"]\n  2 [size=\"63930880\", alpha=\"0.04\", expect_size=\"25572352\"] \n  2 -> 13 [size =\"25572352\"]\n  2 -> 16 [size =\"25572352\"]\n  2 -> 17 [size =\"25572352\"]\n  3 [size=\"61017600\", alpha=\"0.19\", expect_size=\"24407040\"] \n  3 -> 12 [size =\"24407040\"]\n  4 [size=\"114421760\", alpha=\"0.12\", expect_size=\"45768704\"] \n  4 -> 12 [size =\"45768704\"]\n  4 -> 13 [size =\"45768704\"]\n  4 -> 16 [size =\"45768704\"]\n  5 [size=\"109711360\", alpha=\"0.03\", expect_size=\"43884544\"] \n  5 -> 13 [size =\"43884544\"]\n  5 -> 15 [size =\"43884544\"]\n  5 -> 16 [size =\"43884544\"]\n  6 [size=\"130752000\", alpha=\"0.19\", expect_size=\"52300800\"] \n  6 -> 13 [size =\"52300800\"]\n  6 -> 18 [size =\"52300800\"]\n  7 [size=\"124021760\", alpha=\"0.17\", expect_size=\"49608704\"] \n  7 -> 15 [size =\"49608704\"]\n  7 -> 18 [size =\"49608704\"]\n  8 [size=\"49569280\", alpha=\"0.15\", expect_size=\"19827712\"] \n  8 -> 15 [size =\"19827712\"]\n  8 -> 16 [size =\"19827712\"]\n  8 -> 17 [size =\"19827712\"]\n  9 [size=\"19942400\", alpha=\"0.09\", expect_size=\"7976960\"] \n  9 -> 15 [size =\"7976960\"]\n  10 [size=\"52605440\", alpha=\"0.17\", expect_size=\"21042176\"] \n  10 -> 18 [size =\"21042176\"]\n  11 [size=\"110845440\", alpha=\"0.04\", expect_size=\"44338176\"] \n  11 -> 13 [size =\"44338176\"]\n  11 -> 15 [size =\"44338176\"]\n  12 [size=\"27980800\", alpha=\"0.04\", expect_size=\"11192320\"] \n  13 [size=\"48775680\", alpha=\"0.18\", expect_size=\"19510272\"] \n  13 -> 22 [size =\"19510272\"]\n  14 [size=\"40089600\", alpha=\"0.20\", expect_size=\"16035840\"] \n  14 -> 21 [size =\"16035840\"]\n  15 [size=\"112483840\", alpha=\"0.04\", expect_size=\"44993536\"] \n  15 -> 21 [size =\"44993536\"]\n  15 -> 22 [size =\"44993536\"]\n  16 [size=\"127682560\", alpha=\"0.17\", expect_size=\"51073024\"] \n  16 -> 20 [size =\"51073024\"]\n  16 -> 22 [size =\"51073024\"]\n  16 -> 24 [size =\"51073024\"]\n  16 -> 25 [size =\"51073024\"]\n  17 [size=\"124431360\", alpha=\"0.13\", expect_size=\"49772544\"] \n  17 -> 22 [size =\"49772544\"]\n  17 -> 24 [size =\"49772544\"]\n  18 [size=\"109680640\", alpha=\"0.03\", expect_size=\"43872256\"] \n  18 -> 20 [size =\"43872256\"]\n  18 -> 24 [size =\"43872256\"]\n  19 [size=\"77744640\", alpha=\"0.09\", expect_size=\"31097856\"] \n  19 -> 20 [size =\"31097856\"]\n  19 -> 23 [size =\"31097856\"]\n  19 -> 24 [size =\"31097856\"]\n  20 [size=\"14899200\", alpha=\"0.12\", expect_size=\"5959680\"] \n  21 [size=\"113797120\", alpha=\"0.07\", expect_size=\"45518848\"] \n  22 [size=\"21345280\", alpha=\"0.11\", expect_size=\"8538112\"] \n  23 [size=\"46330880\", alpha=\"0.02\", expect_size=\"18532352\"] \n  24 [size=\"33891840\", alpha=\"0.11\", expect_size=\"13556736\"] \n  25 [size=\"31792640\", alpha=\"0.17\", expect_size=\"12717056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46925824\", alpha=\"0.00\", expect_size=\"23462912\"] \n  1 -> 14 [size =\"23462912\"]\n  1 -> 16 [size =\"23462912\"]\n  1 -> 19 [size =\"23462912\"]\n  1 -> 19 [size =\"23462912\"]\n  1 -> 20 [size =\"23462912\"]\n  2 [size=\"42168320\", alpha=\"0.13\", expect_size=\"21084160\"] \n  2 -> 14 [size =\"21084160\"]\n  2 -> 16 [size =\"21084160\"]\n  2 -> 20 [size =\"21084160\"]\n  3 [size=\"71415808\", alpha=\"0.09\", expect_size=\"35707904\"] \n  3 -> 16 [size =\"35707904\"]\n  3 -> 18 [size =\"35707904\"]\n  4 [size=\"85923840\", alpha=\"0.12\", expect_size=\"42961920\"] \n  4 -> 13 [size =\"42961920\"]\n  5 [size=\"89616384\", alpha=\"0.19\", expect_size=\"44808192\"] \n  6 [size=\"46557184\", alpha=\"0.05\", expect_size=\"23278592\"] \n  6 -> 19 [size =\"23278592\"]\n  7 [size=\"27547648\", alpha=\"0.11\", expect_size=\"13773824\"] \n  7 -> 14 [size =\"13773824\"]\n  7 -> 15 [size =\"13773824\"]\n  7 -> 16 [size =\"13773824\"]\n  8 [size=\"25606144\", alpha=\"0.20\", expect_size=\"12803072\"] \n  8 -> 14 [size =\"12803072\"]\n  8 -> 16 [size =\"12803072\"]\n  8 -> 18 [size =\"12803072\"]\n  8 -> 19 [size =\"12803072\"]\n  8 -> 20 [size =\"12803072\"]\n  9 [size=\"28721152\", alpha=\"0.18\", expect_size=\"14360576\"] \n  9 -> 14 [size =\"14360576\"]\n  9 -> 16 [size =\"14360576\"]\n  10 [size=\"20611072\", alpha=\"0.10\", expect_size=\"10305536\"] \n  10 -> 14 [size =\"10305536\"]\n  10 -> 16 [size =\"10305536\"]\n  10 -> 17 [size =\"10305536\"]\n  10 -> 20 [size =\"10305536\"]\n  11 [size=\"56504320\", alpha=\"0.02\", expect_size=\"28252160\"] \n  11 -> 12 [size =\"28252160\"]\n  11 -> 13 [size =\"28252160\"]\n  11 -> 14 [size =\"28252160\"]\n  11 -> 19 [size =\"28252160\"]\n  12 [size=\"57319424\", alpha=\"0.06\", expect_size=\"28659712\"] \n  12 -> 23 [size =\"28659712\"]\n  12 -> 24 [size =\"28659712\"]\n  13 [size=\"23760896\", alpha=\"0.16\", expect_size=\"11880448\"] \n  13 -> 23 [size =\"11880448\"]\n  13 -> 25 [size =\"11880448\"]\n  14 [size=\"66557952\", alpha=\"0.02\", expect_size=\"33278976\"] \n  14 -> 21 [size =\"33278976\"]\n  15 [size=\"26945536\", alpha=\"0.16\", expect_size=\"13472768\"] \n  15 -> 21 [size =\"13472768\"]\n  16 [size=\"22546432\", alpha=\"0.10\", expect_size=\"11273216\"] \n  16 -> 21 [size =\"11273216\"]\n  16 -> 22 [size =\"11273216\"]\n  17 [size=\"44769280\", alpha=\"0.16\", expect_size=\"22384640\"] \n  18 [size=\"96239616\", alpha=\"0.04\", expect_size=\"48119808\"] \n  18 -> 22 [size =\"48119808\"]\n  18 -> 23 [size =\"48119808\"]\n  18 -> 25 [size =\"48119808\"]\n  19 [size=\"94724096\", alpha=\"0.06\", expect_size=\"47362048\"] \n  19 -> 21 [size =\"47362048\"]\n  20 [size=\"84801536\", alpha=\"0.07\", expect_size=\"42400768\"] \n  20 -> 21 [size =\"42400768\"]\n  21 [size=\"36734976\", alpha=\"0.16\", expect_size=\"18367488\"] \n  22 [size=\"47525888\", alpha=\"0.11\", expect_size=\"23762944\"] \n  23 [size=\"76826624\", alpha=\"0.19\", expect_size=\"38413312\"] \n  24 [size=\"58091520\", alpha=\"0.03\", expect_size=\"29045760\"] \n  25 [size=\"68562944\", alpha=\"0.04\", expect_size=\"34281472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119384747\", alpha=\"0.09\", expect_size=\"35815424\"] \n  1 -> 2 [size =\"35815424\"]\n  1 -> 3 [size =\"35815424\"]\n  2 [size=\"112800427\", alpha=\"0.14\", expect_size=\"33840128\"] \n  2 -> 4 [size =\"33840128\"]\n  2 -> 5 [size =\"33840128\"]\n  3 [size=\"33853440\", alpha=\"0.09\", expect_size=\"10156032\"] \n  3 -> 4 [size =\"10156032\"]\n  4 [size=\"117104640\", alpha=\"0.09\", expect_size=\"35131392\"] \n  5 [size=\"29566293\", alpha=\"0.11\", expect_size=\"8869888\"] \n  5 -> 6 [size =\"8869888\"]\n  5 -> 7 [size =\"8869888\"]\n  6 [size=\"138728107\", alpha=\"0.05\", expect_size=\"41618432\"] \n  7 [size=\"19531093\", alpha=\"0.18\", expect_size=\"5859328\"] \n  7 -> 8 [size =\"5859328\"]\n  8 [size=\"32286720\", alpha=\"0.20\", expect_size=\"9686016\"] \n  8 -> 9 [size =\"9686016\"]\n  8 -> 10 [size =\"9686016\"]\n  9 [size=\"141810347\", alpha=\"0.03\", expect_size=\"42543104\"] \n  9 -> 11 [size =\"42543104\"]\n  10 [size=\"170885120\", alpha=\"0.17\", expect_size=\"51265536\"] \n  10 -> 12 [size =\"51265536\"]\n  11 [size=\"26927787\", alpha=\"0.15\", expect_size=\"8078336\"] \n  11 -> 13 [size =\"8078336\"]\n  12 [size=\"101543253\", alpha=\"0.16\", expect_size=\"30462976\"] \n  12 -> 13 [size =\"30462976\"]\n  13 [size=\"53589333\", alpha=\"0.11\", expect_size=\"16076800\"] \n  13 -> 14 [size =\"16076800\"]\n  14 [size=\"120719360\", alpha=\"0.19\", expect_size=\"36215808\"] \n  14 -> 15 [size =\"36215808\"]\n  15 [size=\"33733973\", alpha=\"0.10\", expect_size=\"10120192\"] \n  15 -> 16 [size =\"10120192\"]\n  15 -> 17 [size =\"10120192\"]\n  16 [size=\"122760533\", alpha=\"0.13\", expect_size=\"36828160\"] \n  17 [size=\"164717227\", alpha=\"0.11\", expect_size=\"49415168\"] \n  17 -> 18 [size =\"49415168\"]\n  18 [size=\"151340373\", alpha=\"0.14\", expect_size=\"45402112\"] \n  18 -> 19 [size =\"45402112\"]\n  19 [size=\"148940800\", alpha=\"0.02\", expect_size=\"44682240\"] \n  19 -> 20 [size =\"44682240\"]\n  20 [size=\"170857813\", alpha=\"0.01\", expect_size=\"51257344\"] \n  20 -> 21 [size =\"51257344\"]\n  20 -> 22 [size =\"51257344\"]\n  21 [size=\"150289067\", alpha=\"0.14\", expect_size=\"45086720\"] \n  21 -> 23 [size =\"45086720\"]\n  21 -> 24 [size =\"45086720\"]\n  22 [size=\"109871787\", alpha=\"0.19\", expect_size=\"32961536\"] \n  22 -> 24 [size =\"32961536\"]\n  23 [size=\"75236693\", alpha=\"0.06\", expect_size=\"22571008\"] \n  24 [size=\"159191040\", alpha=\"0.06\", expect_size=\"47757312\"] \n  24 -> 25 [size =\"47757312\"]\n  25 [size=\"153774080\", alpha=\"0.07\", expect_size=\"46132224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22653440\", alpha=\"0.19\", expect_size=\"9061376\"] \n  1 -> 3 [size =\"9061376\"]\n  1 -> 4 [size =\"9061376\"]\n  2 [size=\"94128640\", alpha=\"0.16\", expect_size=\"37651456\"] \n  2 -> 3 [size =\"37651456\"]\n  3 [size=\"44121600\", alpha=\"0.02\", expect_size=\"17648640\"] \n  3 -> 5 [size =\"17648640\"]\n  4 [size=\"114624000\", alpha=\"0.08\", expect_size=\"45849600\"] \n  4 -> 6 [size =\"45849600\"]\n  5 [size=\"80302080\", alpha=\"0.13\", expect_size=\"32120832\"] \n  5 -> 8 [size =\"32120832\"]\n  6 [size=\"39536640\", alpha=\"0.10\", expect_size=\"15814656\"] \n  6 -> 7 [size =\"15814656\"]\n  7 [size=\"101296640\", alpha=\"0.07\", expect_size=\"40518656\"] \n  7 -> 9 [size =\"40518656\"]\n  7 -> 10 [size =\"40518656\"]\n  8 [size=\"55787520\", alpha=\"0.04\", expect_size=\"22315008\"] \n  8 -> 9 [size =\"22315008\"]\n  9 [size=\"76533760\", alpha=\"0.19\", expect_size=\"30613504\"] \n  9 -> 11 [size =\"30613504\"]\n  10 [size=\"43614720\", alpha=\"0.18\", expect_size=\"17445888\"] \n  10 -> 11 [size =\"17445888\"]\n  11 [size=\"19453440\", alpha=\"0.12\", expect_size=\"7781376\"] \n  11 -> 12 [size =\"7781376\"]\n  11 -> 13 [size =\"7781376\"]\n  12 [size=\"14277120\", alpha=\"0.07\", expect_size=\"5710848\"] \n  13 [size=\"109585920\", alpha=\"0.00\", expect_size=\"43834368\"] \n  13 -> 14 [size =\"43834368\"]\n  14 [size=\"122880000\", alpha=\"0.15\", expect_size=\"49152000\"] \n  14 -> 15 [size =\"49152000\"]\n  15 [size=\"52088320\", alpha=\"0.02\", expect_size=\"20835328\"] \n  15 -> 16 [size =\"20835328\"]\n  15 -> 17 [size =\"20835328\"]\n  16 [size=\"128714240\", alpha=\"0.08\", expect_size=\"51485696\"] \n  16 -> 18 [size =\"51485696\"]\n  16 -> 19 [size =\"51485696\"]\n  17 [size=\"68439040\", alpha=\"0.08\", expect_size=\"27375616\"] \n  17 -> 18 [size =\"27375616\"]\n  17 -> 19 [size =\"27375616\"]\n  18 [size=\"107893760\", alpha=\"0.12\", expect_size=\"43157504\"] \n  18 -> 20 [size =\"43157504\"]\n  18 -> 21 [size =\"43157504\"]\n  19 [size=\"14720000\", alpha=\"0.03\", expect_size=\"5888000\"] \n  19 -> 21 [size =\"5888000\"]\n  20 [size=\"127482880\", alpha=\"0.07\", expect_size=\"50993152\"] \n  20 -> 22 [size =\"50993152\"]\n  20 -> 23 [size =\"50993152\"]\n  21 [size=\"118177280\", alpha=\"0.12\", expect_size=\"47270912\"] \n  21 -> 23 [size =\"47270912\"]\n  22 [size=\"68633600\", alpha=\"0.10\", expect_size=\"27453440\"] \n  22 -> 24 [size =\"27453440\"]\n  22 -> 25 [size =\"27453440\"]\n  23 [size=\"110156800\", alpha=\"0.14\", expect_size=\"44062720\"] \n  23 -> 25 [size =\"44062720\"]\n  24 [size=\"111516160\", alpha=\"0.15\", expect_size=\"44606464\"] \n  25 [size=\"81064960\", alpha=\"0.08\", expect_size=\"32425984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69928960\", alpha=\"0.12\", expect_size=\"27971584\"] \n  1 -> 14 [size =\"27971584\"]\n  1 -> 15 [size =\"27971584\"]\n  1 -> 16 [size =\"27971584\"]\n  2 [size=\"24069120\", alpha=\"0.10\", expect_size=\"9627648\"] \n  2 -> 11 [size =\"9627648\"]\n  2 -> 14 [size =\"9627648\"]\n  2 -> 15 [size =\"9627648\"]\n  3 [size=\"120373760\", alpha=\"0.08\", expect_size=\"48149504\"] \n  3 -> 10 [size =\"48149504\"]\n  3 -> 11 [size =\"48149504\"]\n  3 -> 15 [size =\"48149504\"]\n  3 -> 16 [size =\"48149504\"]\n  4 [size=\"102863360\", alpha=\"0.11\", expect_size=\"41145344\"] \n  4 -> 11 [size =\"41145344\"]\n  4 -> 12 [size =\"41145344\"]\n  5 [size=\"80320000\", alpha=\"0.14\", expect_size=\"32128000\"] \n  5 -> 14 [size =\"32128000\"]\n  5 -> 16 [size =\"32128000\"]\n  6 [size=\"30627840\", alpha=\"0.18\", expect_size=\"12251136\"] \n  6 -> 14 [size =\"12251136\"]\n  6 -> 15 [size =\"12251136\"]\n  7 [size=\"102310400\", alpha=\"0.02\", expect_size=\"40924160\"] \n  7 -> 16 [size =\"40924160\"]\n  8 [size=\"33815040\", alpha=\"0.20\", expect_size=\"13526016\"] \n  8 -> 16 [size =\"13526016\"]\n  8 -> 17 [size =\"13526016\"]\n  9 [size=\"38796800\", alpha=\"0.17\", expect_size=\"15518720\"] \n  9 -> 13 [size =\"15518720\"]\n  9 -> 15 [size =\"15518720\"]\n  10 [size=\"14912000\", alpha=\"0.04\", expect_size=\"5964800\"] \n  10 -> 23 [size =\"5964800\"]\n  11 [size=\"110044160\", alpha=\"0.13\", expect_size=\"44017664\"] \n  11 -> 18 [size =\"44017664\"]\n  11 -> 19 [size =\"44017664\"]\n  11 -> 23 [size =\"44017664\"]\n  11 -> 24 [size =\"44017664\"]\n  12 [size=\"65082880\", alpha=\"0.09\", expect_size=\"26033152\"] \n  12 -> 18 [size =\"26033152\"]\n  12 -> 19 [size =\"26033152\"]\n  12 -> 23 [size =\"26033152\"]\n  12 -> 24 [size =\"26033152\"]\n  12 -> 25 [size =\"26033152\"]\n  13 [size=\"124656640\", alpha=\"0.13\", expect_size=\"49862656\"] \n  13 -> 19 [size =\"49862656\"]\n  13 -> 22 [size =\"49862656\"]\n  13 -> 24 [size =\"49862656\"]\n  13 -> 24 [size =\"49862656\"]\n  13 -> 25 [size =\"49862656\"]\n  14 [size=\"53035520\", alpha=\"0.11\", expect_size=\"21214208\"] \n  14 -> 19 [size =\"21214208\"]\n  14 -> 20 [size =\"21214208\"]\n  14 -> 21 [size =\"21214208\"]\n  14 -> 22 [size =\"21214208\"]\n  14 -> 24 [size =\"21214208\"]\n  14 -> 25 [size =\"21214208\"]\n  15 [size=\"118819840\", alpha=\"0.17\", expect_size=\"47527936\"] \n  15 -> 23 [size =\"47527936\"]\n  16 [size=\"84359680\", alpha=\"0.10\", expect_size=\"33743872\"] \n  16 -> 19 [size =\"33743872\"]\n  16 -> 20 [size =\"33743872\"]\n  16 -> 21 [size =\"33743872\"]\n  16 -> 24 [size =\"33743872\"]\n  17 [size=\"72442880\", alpha=\"0.00\", expect_size=\"28977152\"] \n  17 -> 18 [size =\"28977152\"]\n  17 -> 21 [size =\"28977152\"]\n  17 -> 22 [size =\"28977152\"]\n  18 [size=\"83384320\", alpha=\"0.17\", expect_size=\"33353728\"] \n  19 [size=\"80721920\", alpha=\"0.03\", expect_size=\"32288768\"] \n  20 [size=\"61616640\", alpha=\"0.01\", expect_size=\"24646656\"] \n  21 [size=\"83479040\", alpha=\"0.08\", expect_size=\"33391616\"] \n  22 [size=\"43934720\", alpha=\"0.17\", expect_size=\"17573888\"] \n  23 [size=\"94330880\", alpha=\"0.04\", expect_size=\"37732352\"] \n  24 [size=\"54563840\", alpha=\"0.06\", expect_size=\"21825536\"] \n  25 [size=\"120209920\", alpha=\"0.00\", expect_size=\"48083968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71574187\", alpha=\"0.06\", expect_size=\"21472256\"] \n  1 -> 7 [size =\"21472256\"]\n  1 -> 12 [size =\"21472256\"]\n  1 -> 14 [size =\"21472256\"]\n  1 -> 15 [size =\"21472256\"]\n  1 -> 16 [size =\"21472256\"]\n  2 [size=\"72263680\", alpha=\"0.12\", expect_size=\"21679104\"] \n  2 -> 8 [size =\"21679104\"]\n  2 -> 9 [size =\"21679104\"]\n  2 -> 14 [size =\"21679104\"]\n  2 -> 16 [size =\"21679104\"]\n  3 [size=\"56743253\", alpha=\"0.01\", expect_size=\"17022976\"] \n  3 -> 7 [size =\"17022976\"]\n  3 -> 8 [size =\"17022976\"]\n  3 -> 9 [size =\"17022976\"]\n  3 -> 10 [size =\"17022976\"]\n  3 -> 11 [size =\"17022976\"]\n  3 -> 12 [size =\"17022976\"]\n  3 -> 14 [size =\"17022976\"]\n  3 -> 15 [size =\"17022976\"]\n  4 [size=\"94760960\", alpha=\"0.10\", expect_size=\"28428288\"] \n  4 -> 8 [size =\"28428288\"]\n  4 -> 9 [size =\"28428288\"]\n  4 -> 9 [size =\"28428288\"]\n  4 -> 12 [size =\"28428288\"]\n  4 -> 14 [size =\"28428288\"]\n  4 -> 15 [size =\"28428288\"]\n  4 -> 16 [size =\"28428288\"]\n  5 [size=\"122791253\", alpha=\"0.11\", expect_size=\"36837376\"] \n  5 -> 8 [size =\"36837376\"]\n  5 -> 12 [size =\"36837376\"]\n  5 -> 13 [size =\"36837376\"]\n  5 -> 14 [size =\"36837376\"]\n  5 -> 14 [size =\"36837376\"]\n  5 -> 15 [size =\"36837376\"]\n  6 [size=\"165297493\", alpha=\"0.17\", expect_size=\"49589248\"] \n  6 -> 7 [size =\"49589248\"]\n  6 -> 8 [size =\"49589248\"]\n  6 -> 9 [size =\"49589248\"]\n  6 -> 12 [size =\"49589248\"]\n  6 -> 15 [size =\"49589248\"]\n  6 -> 15 [size =\"49589248\"]\n  6 -> 16 [size =\"49589248\"]\n  7 [size=\"81257813\", alpha=\"0.03\", expect_size=\"24377344\"] \n  7 -> 18 [size =\"24377344\"]\n  7 -> 19 [size =\"24377344\"]\n  7 -> 20 [size =\"24377344\"]\n  7 -> 21 [size =\"24377344\"]\n  7 -> 23 [size =\"24377344\"]\n  8 [size=\"142540800\", alpha=\"0.02\", expect_size=\"42762240\"] \n  8 -> 18 [size =\"42762240\"]\n  8 -> 19 [size =\"42762240\"]\n  8 -> 20 [size =\"42762240\"]\n  8 -> 23 [size =\"42762240\"]\n  9 [size=\"95088640\", alpha=\"0.15\", expect_size=\"28526592\"] \n  9 -> 18 [size =\"28526592\"]\n  9 -> 19 [size =\"28526592\"]\n  9 -> 20 [size =\"28526592\"]\n  9 -> 23 [size =\"28526592\"]\n  10 [size=\"137205760\", alpha=\"0.03\", expect_size=\"41161728\"] \n  10 -> 18 [size =\"41161728\"]\n  10 -> 19 [size =\"41161728\"]\n  10 -> 20 [size =\"41161728\"]\n  11 [size=\"77376853\", alpha=\"0.04\", expect_size=\"23213056\"] \n  11 -> 18 [size =\"23213056\"]\n  11 -> 20 [size =\"23213056\"]\n  11 -> 20 [size =\"23213056\"]\n  11 -> 22 [size =\"23213056\"]\n  11 -> 23 [size =\"23213056\"]\n  12 [size=\"126501547\", alpha=\"0.06\", expect_size=\"37950464\"] \n  12 -> 17 [size =\"37950464\"]\n  12 -> 18 [size =\"37950464\"]\n  12 -> 23 [size =\"37950464\"]\n  13 [size=\"59746987\", alpha=\"0.11\", expect_size=\"17924096\"] \n  13 -> 20 [size =\"17924096\"]\n  13 -> 21 [size =\"17924096\"]\n  14 [size=\"69171200\", alpha=\"0.01\", expect_size=\"20751360\"] \n  14 -> 20 [size =\"20751360\"]\n  14 -> 23 [size =\"20751360\"]\n  15 [size=\"145435307\", alpha=\"0.16\", expect_size=\"43630592\"] \n  15 -> 18 [size =\"43630592\"]\n  15 -> 19 [size =\"43630592\"]\n  15 -> 22 [size =\"43630592\"]\n  15 -> 23 [size =\"43630592\"]\n  15 -> 24 [size =\"43630592\"]\n  16 [size=\"71529813\", alpha=\"0.17\", expect_size=\"21458944\"] \n  16 -> 18 [size =\"21458944\"]\n  16 -> 19 [size =\"21458944\"]\n  16 -> 20 [size =\"21458944\"]\n  16 -> 23 [size =\"21458944\"]\n  17 [size=\"49343147\", alpha=\"0.13\", expect_size=\"14802944\"] \n  18 [size=\"69478400\", alpha=\"0.01\", expect_size=\"20843520\"] \n  19 [size=\"85319680\", alpha=\"0.10\", expect_size=\"25595904\"] \n  20 [size=\"44049067\", alpha=\"0.12\", expect_size=\"13214720\"] \n  21 [size=\"67208533\", alpha=\"0.02\", expect_size=\"20162560\"] \n  22 [size=\"99464533\", alpha=\"0.18\", expect_size=\"29839360\"] \n  22 -> 25 [size =\"29839360\"]\n  23 [size=\"149456213\", alpha=\"0.19\", expect_size=\"44836864\"] \n  24 [size=\"75601920\", alpha=\"0.10\", expect_size=\"22680576\"] \n  25 [size=\"86039893\", alpha=\"0.15\", expect_size=\"25811968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73697280\", alpha=\"0.14\", expect_size=\"29478912\"] \n  1 -> 24 [size =\"29478912\"]\n  1 -> 25 [size =\"29478912\"]\n  2 [size=\"130849280\", alpha=\"0.19\", expect_size=\"52339712\"] \n  3 [size=\"98306560\", alpha=\"0.05\", expect_size=\"39322624\"] \n  3 -> 25 [size =\"39322624\"]\n  4 [size=\"76203520\", alpha=\"0.02\", expect_size=\"30481408\"] \n  5 [size=\"15170560\", alpha=\"0.11\", expect_size=\"6068224\"] \n  6 [size=\"43440640\", alpha=\"0.15\", expect_size=\"17376256\"] \n  7 [size=\"93224960\", alpha=\"0.06\", expect_size=\"37289984\"] \n  7 -> 24 [size =\"37289984\"]\n  8 [size=\"20917760\", alpha=\"0.15\", expect_size=\"8367104\"] \n  9 [size=\"107870720\", alpha=\"0.03\", expect_size=\"43148288\"] \n  10 [size=\"22266880\", alpha=\"0.03\", expect_size=\"8906752\"] \n  10 -> 24 [size =\"8906752\"]\n  11 [size=\"21849600\", alpha=\"0.18\", expect_size=\"8739840\"] \n  11 -> 24 [size =\"8739840\"]\n  11 -> 25 [size =\"8739840\"]\n  12 [size=\"105812480\", alpha=\"0.09\", expect_size=\"42324992\"] \n  12 -> 25 [size =\"42324992\"]\n  13 [size=\"98496000\", alpha=\"0.14\", expect_size=\"39398400\"] \n  13 -> 24 [size =\"39398400\"]\n  14 [size=\"130112000\", alpha=\"0.11\", expect_size=\"52044800\"] \n  15 [size=\"23242240\", alpha=\"0.09\", expect_size=\"9296896\"] \n  15 -> 24 [size =\"9296896\"]\n  16 [size=\"85946880\", alpha=\"0.17\", expect_size=\"34378752\"] \n  16 -> 24 [size =\"34378752\"]\n  17 [size=\"57845760\", alpha=\"0.16\", expect_size=\"23138304\"] \n  17 -> 24 [size =\"23138304\"]\n  18 [size=\"94272000\", alpha=\"0.18\", expect_size=\"37708800\"] \n  19 [size=\"64842240\", alpha=\"0.08\", expect_size=\"25936896\"] \n  20 [size=\"85383680\", alpha=\"0.17\", expect_size=\"34153472\"] \n  21 [size=\"103925760\", alpha=\"0.16\", expect_size=\"41570304\"] \n  22 [size=\"93918720\", alpha=\"0.16\", expect_size=\"37567488\"] \n  22 -> 25 [size =\"37567488\"]\n  23 [size=\"28715520\", alpha=\"0.10\", expect_size=\"11486208\"] \n  23 -> 24 [size =\"11486208\"]\n  23 -> 25 [size =\"11486208\"]\n  24 [size=\"110039040\", alpha=\"0.14\", expect_size=\"44015616\"] \n  25 [size=\"56780800\", alpha=\"0.19\", expect_size=\"22712320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79828992\", alpha=\"0.18\", expect_size=\"39914496\"] \n  1 -> 2 [size =\"39914496\"]\n  2 [size=\"47261696\", alpha=\"0.14\", expect_size=\"23630848\"] \n  2 -> 3 [size =\"23630848\"]\n  3 [size=\"66652160\", alpha=\"0.07\", expect_size=\"33326080\"] \n  3 -> 4 [size =\"33326080\"]\n  4 [size=\"10489856\", alpha=\"0.06\", expect_size=\"5244928\"] \n  4 -> 5 [size =\"5244928\"]\n  5 [size=\"35217408\", alpha=\"0.03\", expect_size=\"17608704\"] \n  5 -> 6 [size =\"17608704\"]\n  6 [size=\"27744256\", alpha=\"0.00\", expect_size=\"13872128\"] \n  6 -> 7 [size =\"13872128\"]\n  7 [size=\"44054528\", alpha=\"0.10\", expect_size=\"22027264\"] \n  7 -> 8 [size =\"22027264\"]\n  8 [size=\"28241920\", alpha=\"0.16\", expect_size=\"14120960\"] \n  8 -> 9 [size =\"14120960\"]\n  9 [size=\"57862144\", alpha=\"0.03\", expect_size=\"28931072\"] \n  9 -> 10 [size =\"28931072\"]\n  10 [size=\"66252800\", alpha=\"0.10\", expect_size=\"33126400\"] \n  10 -> 11 [size =\"33126400\"]\n  11 [size=\"72108032\", alpha=\"0.15\", expect_size=\"36054016\"] \n  11 -> 12 [size =\"36054016\"]\n  12 [size=\"62812160\", alpha=\"0.19\", expect_size=\"31406080\"] \n  12 -> 13 [size =\"31406080\"]\n  13 [size=\"36792320\", alpha=\"0.11\", expect_size=\"18396160\"] \n  13 -> 14 [size =\"18396160\"]\n  14 [size=\"69732352\", alpha=\"0.14\", expect_size=\"34866176\"] \n  14 -> 15 [size =\"34866176\"]\n  15 [size=\"97644544\", alpha=\"0.08\", expect_size=\"48822272\"] \n  15 -> 16 [size =\"48822272\"]\n  16 [size=\"16238592\", alpha=\"0.17\", expect_size=\"8119296\"] \n  16 -> 17 [size =\"8119296\"]\n  17 [size=\"16820224\", alpha=\"0.11\", expect_size=\"8410112\"] \n  17 -> 18 [size =\"8410112\"]\n  18 [size=\"65800192\", alpha=\"0.13\", expect_size=\"32900096\"] \n  18 -> 19 [size =\"32900096\"]\n  19 [size=\"48748544\", alpha=\"0.18\", expect_size=\"24374272\"] \n  19 -> 20 [size =\"24374272\"]\n  20 [size=\"63922176\", alpha=\"0.07\", expect_size=\"31961088\"] \n  20 -> 21 [size =\"31961088\"]\n  21 [size=\"15831040\", alpha=\"0.10\", expect_size=\"7915520\"] \n  21 -> 22 [size =\"7915520\"]\n  22 [size=\"85549056\", alpha=\"0.02\", expect_size=\"42774528\"] \n  22 -> 23 [size =\"42774528\"]\n  23 [size=\"83163136\", alpha=\"0.05\", expect_size=\"41581568\"] \n  23 -> 24 [size =\"41581568\"]\n  24 [size=\"39704576\", alpha=\"0.08\", expect_size=\"19852288\"] \n  24 -> 25 [size =\"19852288\"]\n  25 [size=\"10590208\", alpha=\"0.17\", expect_size=\"5295104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114992640\", alpha=\"0.12\", expect_size=\"45997056\"] \n  1 -> 14 [size =\"45997056\"]\n  1 -> 18 [size =\"45997056\"]\n  2 [size=\"53614080\", alpha=\"0.05\", expect_size=\"21445632\"] \n  2 -> 11 [size =\"21445632\"]\n  2 -> 12 [size =\"21445632\"]\n  2 -> 15 [size =\"21445632\"]\n  2 -> 17 [size =\"21445632\"]\n  3 [size=\"33507840\", alpha=\"0.07\", expect_size=\"13403136\"] \n  3 -> 10 [size =\"13403136\"]\n  3 -> 12 [size =\"13403136\"]\n  3 -> 13 [size =\"13403136\"]\n  3 -> 15 [size =\"13403136\"]\n  4 [size=\"57303040\", alpha=\"0.10\", expect_size=\"22921216\"] \n  4 -> 10 [size =\"22921216\"]\n  4 -> 12 [size =\"22921216\"]\n  4 -> 16 [size =\"22921216\"]\n  5 [size=\"37760000\", alpha=\"0.02\", expect_size=\"15104000\"] \n  5 -> 14 [size =\"15104000\"]\n  6 [size=\"118205440\", alpha=\"0.01\", expect_size=\"47282176\"] \n  7 [size=\"71938560\", alpha=\"0.19\", expect_size=\"28775424\"] \n  7 -> 14 [size =\"28775424\"]\n  8 [size=\"42304000\", alpha=\"0.07\", expect_size=\"16921600\"] \n  8 -> 12 [size =\"16921600\"]\n  8 -> 13 [size =\"16921600\"]\n  8 -> 14 [size =\"16921600\"]\n  9 [size=\"70210560\", alpha=\"0.03\", expect_size=\"28084224\"] \n  10 [size=\"21081600\", alpha=\"0.15\", expect_size=\"8432640\"] \n  10 -> 21 [size =\"8432640\"]\n  10 -> 24 [size =\"8432640\"]\n  10 -> 25 [size =\"8432640\"]\n  11 [size=\"24798720\", alpha=\"0.02\", expect_size=\"9919488\"] \n  11 -> 22 [size =\"9919488\"]\n  11 -> 24 [size =\"9919488\"]\n  12 [size=\"96486400\", alpha=\"0.01\", expect_size=\"38594560\"] \n  12 -> 21 [size =\"38594560\"]\n  12 -> 22 [size =\"38594560\"]\n  13 [size=\"126702080\", alpha=\"0.07\", expect_size=\"50680832\"] \n  13 -> 19 [size =\"50680832\"]\n  14 [size=\"50260480\", alpha=\"0.14\", expect_size=\"20104192\"] \n  14 -> 19 [size =\"20104192\"]\n  14 -> 20 [size =\"20104192\"]\n  14 -> 23 [size =\"20104192\"]\n  14 -> 24 [size =\"20104192\"]\n  14 -> 25 [size =\"20104192\"]\n  15 [size=\"107417600\", alpha=\"0.13\", expect_size=\"42967040\"] \n  15 -> 20 [size =\"42967040\"]\n  15 -> 21 [size =\"42967040\"]\n  15 -> 25 [size =\"42967040\"]\n  16 [size=\"117934080\", alpha=\"0.05\", expect_size=\"47173632\"] \n  16 -> 20 [size =\"47173632\"]\n  16 -> 21 [size =\"47173632\"]\n  17 [size=\"124249600\", alpha=\"0.02\", expect_size=\"49699840\"] \n  17 -> 19 [size =\"49699840\"]\n  17 -> 20 [size =\"49699840\"]\n  17 -> 21 [size =\"49699840\"]\n  17 -> 22 [size =\"49699840\"]\n  17 -> 23 [size =\"49699840\"]\n  17 -> 24 [size =\"49699840\"]\n  17 -> 25 [size =\"49699840\"]\n  18 [size=\"116782080\", alpha=\"0.15\", expect_size=\"46712832\"] \n  18 -> 20 [size =\"46712832\"]\n  18 -> 22 [size =\"46712832\"]\n  18 -> 25 [size =\"46712832\"]\n  19 [size=\"42434560\", alpha=\"0.08\", expect_size=\"16973824\"] \n  20 [size=\"62215680\", alpha=\"0.17\", expect_size=\"24886272\"] \n  21 [size=\"30763520\", alpha=\"0.03\", expect_size=\"12305408\"] \n  22 [size=\"44907520\", alpha=\"0.16\", expect_size=\"17963008\"] \n  23 [size=\"49454080\", alpha=\"0.12\", expect_size=\"19781632\"] \n  24 [size=\"91993600\", alpha=\"0.16\", expect_size=\"36797440\"] \n  25 [size=\"59153920\", alpha=\"0.04\", expect_size=\"23661568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27107840\", alpha=\"0.17\", expect_size=\"10843136\"] \n  1 -> 2 [size =\"10843136\"]\n  2 [size=\"52933120\", alpha=\"0.06\", expect_size=\"21173248\"] \n  2 -> 3 [size =\"21173248\"]\n  3 [size=\"52311040\", alpha=\"0.18\", expect_size=\"20924416\"] \n  3 -> 4 [size =\"20924416\"]\n  4 [size=\"111567360\", alpha=\"0.19\", expect_size=\"44626944\"] \n  4 -> 5 [size =\"44626944\"]\n  5 [size=\"60062720\", alpha=\"0.17\", expect_size=\"24025088\"] \n  5 -> 6 [size =\"24025088\"]\n  6 [size=\"100134400\", alpha=\"0.10\", expect_size=\"40053760\"] \n  6 -> 7 [size =\"40053760\"]\n  7 [size=\"61680640\", alpha=\"0.19\", expect_size=\"24672256\"] \n  7 -> 8 [size =\"24672256\"]\n  8 [size=\"17344000\", alpha=\"0.12\", expect_size=\"6937600\"] \n  8 -> 9 [size =\"6937600\"]\n  9 [size=\"108449280\", alpha=\"0.15\", expect_size=\"43379712\"] \n  9 -> 10 [size =\"43379712\"]\n  10 [size=\"61376000\", alpha=\"0.09\", expect_size=\"24550400\"] \n  10 -> 11 [size =\"24550400\"]\n  11 [size=\"84848640\", alpha=\"0.04\", expect_size=\"33939456\"] \n  11 -> 12 [size =\"33939456\"]\n  12 [size=\"68986880\", alpha=\"0.10\", expect_size=\"27594752\"] \n  12 -> 13 [size =\"27594752\"]\n  13 [size=\"102947840\", alpha=\"0.14\", expect_size=\"41179136\"] \n  13 -> 14 [size =\"41179136\"]\n  14 [size=\"93742080\", alpha=\"0.02\", expect_size=\"37496832\"] \n  14 -> 15 [size =\"37496832\"]\n  15 [size=\"89978880\", alpha=\"0.01\", expect_size=\"35991552\"] \n  15 -> 16 [size =\"35991552\"]\n  16 [size=\"70095360\", alpha=\"0.06\", expect_size=\"28038144\"] \n  16 -> 17 [size =\"28038144\"]\n  17 [size=\"129408000\", alpha=\"0.01\", expect_size=\"51763200\"] \n  17 -> 18 [size =\"51763200\"]\n  18 [size=\"125319680\", alpha=\"0.12\", expect_size=\"50127872\"] \n  18 -> 19 [size =\"50127872\"]\n  19 [size=\"75422720\", alpha=\"0.11\", expect_size=\"30169088\"] \n  19 -> 20 [size =\"30169088\"]\n  20 [size=\"48099840\", alpha=\"0.05\", expect_size=\"19239936\"] \n  20 -> 21 [size =\"19239936\"]\n  21 [size=\"99924480\", alpha=\"0.01\", expect_size=\"39969792\"] \n  21 -> 22 [size =\"39969792\"]\n  22 [size=\"125813760\", alpha=\"0.04\", expect_size=\"50325504\"] \n  22 -> 23 [size =\"50325504\"]\n  23 [size=\"67345920\", alpha=\"0.13\", expect_size=\"26938368\"] \n  23 -> 24 [size =\"26938368\"]\n  24 [size=\"29552640\", alpha=\"0.19\", expect_size=\"11821056\"] \n  24 -> 25 [size =\"11821056\"]\n  25 [size=\"42263040\", alpha=\"0.14\", expect_size=\"16905216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18968576\", alpha=\"0.05\", expect_size=\"9484288\"] \n  1 -> 2 [size =\"9484288\"]\n  2 [size=\"14051328\", alpha=\"0.11\", expect_size=\"7025664\"] \n  2 -> 3 [size =\"7025664\"]\n  3 [size=\"81481728\", alpha=\"0.16\", expect_size=\"40740864\"] \n  3 -> 4 [size =\"40740864\"]\n  4 [size=\"48095232\", alpha=\"0.16\", expect_size=\"24047616\"] \n  4 -> 5 [size =\"24047616\"]\n  5 [size=\"75458560\", alpha=\"0.15\", expect_size=\"37729280\"] \n  5 -> 6 [size =\"37729280\"]\n  6 [size=\"76834816\", alpha=\"0.15\", expect_size=\"38417408\"] \n  6 -> 7 [size =\"38417408\"]\n  7 [size=\"75268096\", alpha=\"0.04\", expect_size=\"37634048\"] \n  7 -> 8 [size =\"37634048\"]\n  8 [size=\"80148480\", alpha=\"0.07\", expect_size=\"40074240\"] \n  8 -> 9 [size =\"40074240\"]\n  9 [size=\"96092160\", alpha=\"0.14\", expect_size=\"48046080\"] \n  9 -> 10 [size =\"48046080\"]\n  10 [size=\"69844992\", alpha=\"0.13\", expect_size=\"34922496\"] \n  10 -> 11 [size =\"34922496\"]\n  11 [size=\"39018496\", alpha=\"0.07\", expect_size=\"19509248\"] \n  11 -> 12 [size =\"19509248\"]\n  12 [size=\"64964608\", alpha=\"0.16\", expect_size=\"32482304\"] \n  12 -> 13 [size =\"32482304\"]\n  13 [size=\"21755904\", alpha=\"0.09\", expect_size=\"10877952\"] \n  13 -> 14 [size =\"10877952\"]\n  14 [size=\"95934464\", alpha=\"0.14\", expect_size=\"47967232\"] \n  14 -> 15 [size =\"47967232\"]\n  15 [size=\"75091968\", alpha=\"0.02\", expect_size=\"37545984\"] \n  15 -> 16 [size =\"37545984\"]\n  16 [size=\"52420608\", alpha=\"0.07\", expect_size=\"26210304\"] \n  16 -> 17 [size =\"26210304\"]\n  17 [size=\"29997056\", alpha=\"0.03\", expect_size=\"14998528\"] \n  17 -> 18 [size =\"14998528\"]\n  18 [size=\"50475008\", alpha=\"0.03\", expect_size=\"25237504\"] \n  18 -> 19 [size =\"25237504\"]\n  19 [size=\"85166080\", alpha=\"0.08\", expect_size=\"42583040\"] \n  19 -> 20 [size =\"42583040\"]\n  20 [size=\"58351616\", alpha=\"0.15\", expect_size=\"29175808\"] \n  20 -> 21 [size =\"29175808\"]\n  21 [size=\"24694784\", alpha=\"0.05\", expect_size=\"12347392\"] \n  21 -> 22 [size =\"12347392\"]\n  22 [size=\"58648576\", alpha=\"0.15\", expect_size=\"29324288\"] \n  22 -> 23 [size =\"29324288\"]\n  23 [size=\"39012352\", alpha=\"0.00\", expect_size=\"19506176\"] \n  23 -> 24 [size =\"19506176\"]\n  24 [size=\"80902144\", alpha=\"0.13\", expect_size=\"40451072\"] \n  24 -> 25 [size =\"40451072\"]\n  25 [size=\"54536192\", alpha=\"0.01\", expect_size=\"27268096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18984960\", alpha=\"0.18\", expect_size=\"9492480\"] \n  2 [size=\"41119744\", alpha=\"0.13\", expect_size=\"20559872\"] \n  2 -> 6 [size =\"20559872\"]\n  2 -> 8 [size =\"20559872\"]\n  3 [size=\"51607552\", alpha=\"0.11\", expect_size=\"25803776\"] \n  3 -> 5 [size =\"25803776\"]\n  3 -> 7 [size =\"25803776\"]\n  3 -> 8 [size =\"25803776\"]\n  4 [size=\"27158528\", alpha=\"0.01\", expect_size=\"13579264\"] \n  4 -> 6 [size =\"13579264\"]\n  4 -> 7 [size =\"13579264\"]\n  5 [size=\"103917568\", alpha=\"0.11\", expect_size=\"51958784\"] \n  5 -> 11 [size =\"51958784\"]\n  6 [size=\"73351168\", alpha=\"0.11\", expect_size=\"36675584\"] \n  6 -> 10 [size =\"36675584\"]\n  7 [size=\"22896640\", alpha=\"0.04\", expect_size=\"11448320\"] \n  8 [size=\"62795776\", alpha=\"0.03\", expect_size=\"31397888\"] \n  8 -> 9 [size =\"31397888\"]\n  9 [size=\"19812352\", alpha=\"0.09\", expect_size=\"9906176\"] \n  9 -> 12 [size =\"9906176\"]\n  9 -> 13 [size =\"9906176\"]\n  9 -> 14 [size =\"9906176\"]\n  10 [size=\"66150400\", alpha=\"0.19\", expect_size=\"33075200\"] \n  10 -> 13 [size =\"33075200\"]\n  10 -> 14 [size =\"33075200\"]\n  11 [size=\"83994624\", alpha=\"0.12\", expect_size=\"41997312\"] \n  11 -> 12 [size =\"41997312\"]\n  12 [size=\"72581120\", alpha=\"0.08\", expect_size=\"36290560\"] \n  12 -> 15 [size =\"36290560\"]\n  12 -> 16 [size =\"36290560\"]\n  12 -> 17 [size =\"36290560\"]\n  13 [size=\"41603072\", alpha=\"0.17\", expect_size=\"20801536\"] \n  13 -> 17 [size =\"20801536\"]\n  14 [size=\"92475392\", alpha=\"0.08\", expect_size=\"46237696\"] \n  14 -> 15 [size =\"46237696\"]\n  14 -> 16 [size =\"46237696\"]\n  15 [size=\"97560576\", alpha=\"0.05\", expect_size=\"48780288\"] \n  15 -> 19 [size =\"48780288\"]\n  16 [size=\"55472128\", alpha=\"0.07\", expect_size=\"27736064\"] \n  16 -> 18 [size =\"27736064\"]\n  17 [size=\"12066816\", alpha=\"0.10\", expect_size=\"6033408\"] \n  17 -> 18 [size =\"6033408\"]\n  17 -> 19 [size =\"6033408\"]\n  17 -> 20 [size =\"6033408\"]\n  18 [size=\"32124928\", alpha=\"0.16\", expect_size=\"16062464\"] \n  18 -> 23 [size =\"16062464\"]\n  18 -> 24 [size =\"16062464\"]\n  19 [size=\"45486080\", alpha=\"0.08\", expect_size=\"22743040\"] \n  19 -> 21 [size =\"22743040\"]\n  19 -> 22 [size =\"22743040\"]\n  19 -> 23 [size =\"22743040\"]\n  19 -> 24 [size =\"22743040\"]\n  20 [size=\"85628928\", alpha=\"0.09\", expect_size=\"42814464\"] \n  20 -> 22 [size =\"42814464\"]\n  21 [size=\"79425536\", alpha=\"0.12\", expect_size=\"39712768\"] \n  21 -> 25 [size =\"39712768\"]\n  22 [size=\"43051008\", alpha=\"0.01\", expect_size=\"21525504\"] \n  23 [size=\"80461824\", alpha=\"0.19\", expect_size=\"40230912\"] \n  23 -> 25 [size =\"40230912\"]\n  24 [size=\"67495936\", alpha=\"0.00\", expect_size=\"33747968\"] \n  24 -> 25 [size =\"33747968\"]\n  25 [size=\"12060672\", alpha=\"0.02\", expect_size=\"6030336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108689920\", alpha=\"0.06\", expect_size=\"43475968\"] \n  1 -> 3 [size =\"43475968\"]\n  2 [size=\"30069760\", alpha=\"0.18\", expect_size=\"12027904\"] \n  3 [size=\"85352960\", alpha=\"0.11\", expect_size=\"34141184\"] \n  3 -> 4 [size =\"34141184\"]\n  4 [size=\"115952640\", alpha=\"0.19\", expect_size=\"46381056\"] \n  4 -> 5 [size =\"46381056\"]\n  4 -> 6 [size =\"46381056\"]\n  5 [size=\"55841280\", alpha=\"0.09\", expect_size=\"22336512\"] \n  6 [size=\"109608960\", alpha=\"0.15\", expect_size=\"43843584\"] \n  6 -> 7 [size =\"43843584\"]\n  7 [size=\"22512640\", alpha=\"0.16\", expect_size=\"9005056\"] \n  7 -> 8 [size =\"9005056\"]\n  8 [size=\"56076800\", alpha=\"0.04\", expect_size=\"22430720\"] \n  8 -> 9 [size =\"22430720\"]\n  8 -> 10 [size =\"22430720\"]\n  9 [size=\"64555520\", alpha=\"0.05\", expect_size=\"25822208\"] \n  9 -> 11 [size =\"25822208\"]\n  10 [size=\"122560000\", alpha=\"0.16\", expect_size=\"49024000\"] \n  11 [size=\"50805760\", alpha=\"0.01\", expect_size=\"20322304\"] \n  11 -> 12 [size =\"20322304\"]\n  12 [size=\"86348800\", alpha=\"0.18\", expect_size=\"34539520\"] \n  12 -> 13 [size =\"34539520\"]\n  13 [size=\"76887040\", alpha=\"0.15\", expect_size=\"30754816\"] \n  13 -> 14 [size =\"30754816\"]\n  14 [size=\"22881280\", alpha=\"0.05\", expect_size=\"9152512\"] \n  14 -> 15 [size =\"9152512\"]\n  15 [size=\"19141120\", alpha=\"0.05\", expect_size=\"7656448\"] \n  15 -> 16 [size =\"7656448\"]\n  16 [size=\"74024960\", alpha=\"0.16\", expect_size=\"29609984\"] \n  16 -> 17 [size =\"29609984\"]\n  17 [size=\"45478400\", alpha=\"0.14\", expect_size=\"18191360\"] \n  17 -> 18 [size =\"18191360\"]\n  18 [size=\"19072000\", alpha=\"0.15\", expect_size=\"7628800\"] \n  18 -> 19 [size =\"7628800\"]\n  19 [size=\"42608640\", alpha=\"0.01\", expect_size=\"17043456\"] \n  19 -> 20 [size =\"17043456\"]\n  20 [size=\"73410560\", alpha=\"0.12\", expect_size=\"29364224\"] \n  20 -> 21 [size =\"29364224\"]\n  21 [size=\"51993600\", alpha=\"0.00\", expect_size=\"20797440\"] \n  21 -> 22 [size =\"20797440\"]\n  22 [size=\"57628160\", alpha=\"0.11\", expect_size=\"23051264\"] \n  22 -> 23 [size =\"23051264\"]\n  22 -> 24 [size =\"23051264\"]\n  23 [size=\"46423040\", alpha=\"0.14\", expect_size=\"18569216\"] \n  23 -> 25 [size =\"18569216\"]\n  24 [size=\"16972800\", alpha=\"0.14\", expect_size=\"6789120\"] \n  25 [size=\"43765760\", alpha=\"0.02\", expect_size=\"17506304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160215040\", alpha=\"0.02\", expect_size=\"48064512\"] \n  1 -> 3 [size =\"48064512\"]\n  1 -> 4 [size =\"48064512\"]\n  2 [size=\"169318400\", alpha=\"0.11\", expect_size=\"50795520\"] \n  2 -> 3 [size =\"50795520\"]\n  2 -> 4 [size =\"50795520\"]\n  3 [size=\"49213440\", alpha=\"0.03\", expect_size=\"14764032\"] \n  4 [size=\"60354560\", alpha=\"0.09\", expect_size=\"18106368\"] \n  4 -> 5 [size =\"18106368\"]\n  5 [size=\"57115307\", alpha=\"0.10\", expect_size=\"17134592\"] \n  5 -> 6 [size =\"17134592\"]\n  5 -> 7 [size =\"17134592\"]\n  6 [size=\"172366507\", alpha=\"0.20\", expect_size=\"51709952\"] \n  6 -> 8 [size =\"51709952\"]\n  6 -> 9 [size =\"51709952\"]\n  7 [size=\"137932800\", alpha=\"0.15\", expect_size=\"41379840\"] \n  7 -> 8 [size =\"41379840\"]\n  7 -> 9 [size =\"41379840\"]\n  8 [size=\"104895147\", alpha=\"0.06\", expect_size=\"31468544\"] \n  8 -> 10 [size =\"31468544\"]\n  9 [size=\"115988480\", alpha=\"0.15\", expect_size=\"34796544\"] \n  9 -> 10 [size =\"34796544\"]\n  9 -> 11 [size =\"34796544\"]\n  10 [size=\"100778667\", alpha=\"0.15\", expect_size=\"30233600\"] \n  10 -> 12 [size =\"30233600\"]\n  10 -> 13 [size =\"30233600\"]\n  11 [size=\"72840533\", alpha=\"0.12\", expect_size=\"21852160\"] \n  11 -> 12 [size =\"21852160\"]\n  11 -> 13 [size =\"21852160\"]\n  12 [size=\"85210453\", alpha=\"0.14\", expect_size=\"25563136\"] \n  12 -> 14 [size =\"25563136\"]\n  13 [size=\"169144320\", alpha=\"0.09\", expect_size=\"50743296\"] \n  13 -> 14 [size =\"50743296\"]\n  14 [size=\"36423680\", alpha=\"0.05\", expect_size=\"10927104\"] \n  14 -> 15 [size =\"10927104\"]\n  14 -> 16 [size =\"10927104\"]\n  15 [size=\"110537387\", alpha=\"0.10\", expect_size=\"33161216\"] \n  15 -> 17 [size =\"33161216\"]\n  16 [size=\"29201067\", alpha=\"0.13\", expect_size=\"8760320\"] \n  16 -> 17 [size =\"8760320\"]\n  17 [size=\"27084800\", alpha=\"0.20\", expect_size=\"8125440\"] \n  17 -> 18 [size =\"8125440\"]\n  17 -> 19 [size =\"8125440\"]\n  18 [size=\"141943467\", alpha=\"0.19\", expect_size=\"42583040\"] \n  18 -> 20 [size =\"42583040\"]\n  19 [size=\"35276800\", alpha=\"0.09\", expect_size=\"10583040\"] \n  19 -> 20 [size =\"10583040\"]\n  19 -> 21 [size =\"10583040\"]\n  20 [size=\"154173440\", alpha=\"0.14\", expect_size=\"46252032\"] \n  20 -> 22 [size =\"46252032\"]\n  20 -> 23 [size =\"46252032\"]\n  21 [size=\"113520640\", alpha=\"0.18\", expect_size=\"34056192\"] \n  21 -> 22 [size =\"34056192\"]\n  21 -> 23 [size =\"34056192\"]\n  22 [size=\"48496640\", alpha=\"0.01\", expect_size=\"14548992\"] \n  22 -> 24 [size =\"14548992\"]\n  22 -> 25 [size =\"14548992\"]\n  23 [size=\"161174187\", alpha=\"0.08\", expect_size=\"48352256\"] \n  23 -> 25 [size =\"48352256\"]\n  24 [size=\"75233280\", alpha=\"0.00\", expect_size=\"22569984\"] \n  25 [size=\"117435733\", alpha=\"0.18\", expect_size=\"35230720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114694827\", alpha=\"0.09\", expect_size=\"34408448\"] \n  1 -> 7 [size =\"34408448\"]\n  2 [size=\"38676480\", alpha=\"0.09\", expect_size=\"11602944\"] \n  2 -> 5 [size =\"11602944\"]\n  2 -> 6 [size =\"11602944\"]\n  3 [size=\"158180693\", alpha=\"0.19\", expect_size=\"47454208\"] \n  3 -> 6 [size =\"47454208\"]\n  3 -> 7 [size =\"47454208\"]\n  4 [size=\"95952213\", alpha=\"0.17\", expect_size=\"28785664\"] \n  4 -> 7 [size =\"28785664\"]\n  5 [size=\"72987307\", alpha=\"0.01\", expect_size=\"21896192\"] \n  5 -> 8 [size =\"21896192\"]\n  5 -> 9 [size =\"21896192\"]\n  5 -> 10 [size =\"21896192\"]\n  6 [size=\"99737600\", alpha=\"0.09\", expect_size=\"29921280\"] \n  7 [size=\"46062933\", alpha=\"0.04\", expect_size=\"13818880\"] \n  7 -> 9 [size =\"13818880\"]\n  8 [size=\"37147307\", alpha=\"0.18\", expect_size=\"11144192\"] \n  8 -> 12 [size =\"11144192\"]\n  9 [size=\"54463147\", alpha=\"0.06\", expect_size=\"16338944\"] \n  9 -> 11 [size =\"16338944\"]\n  9 -> 13 [size =\"16338944\"]\n  10 [size=\"79841280\", alpha=\"0.02\", expect_size=\"23952384\"] \n  10 -> 11 [size =\"23952384\"]\n  10 -> 13 [size =\"23952384\"]\n  11 [size=\"105704107\", alpha=\"0.04\", expect_size=\"31711232\"] \n  11 -> 14 [size =\"31711232\"]\n  12 [size=\"172806827\", alpha=\"0.10\", expect_size=\"51842048\"] \n  12 -> 14 [size =\"51842048\"]\n  13 [size=\"83305813\", alpha=\"0.15\", expect_size=\"24991744\"] \n  13 -> 14 [size =\"24991744\"]\n  13 -> 15 [size =\"24991744\"]\n  13 -> 16 [size =\"24991744\"]\n  14 [size=\"75052373\", alpha=\"0.15\", expect_size=\"22515712\"] \n  14 -> 19 [size =\"22515712\"]\n  15 [size=\"53609813\", alpha=\"0.12\", expect_size=\"16082944\"] \n  15 -> 19 [size =\"16082944\"]\n  16 [size=\"64443733\", alpha=\"0.08\", expect_size=\"19333120\"] \n  16 -> 17 [size =\"19333120\"]\n  16 -> 18 [size =\"19333120\"]\n  17 [size=\"133273600\", alpha=\"0.11\", expect_size=\"39982080\"] \n  17 -> 20 [size =\"39982080\"]\n  17 -> 21 [size =\"39982080\"]\n  17 -> 23 [size =\"39982080\"]\n  18 [size=\"161024000\", alpha=\"0.08\", expect_size=\"48307200\"] \n  18 -> 20 [size =\"48307200\"]\n  18 -> 23 [size =\"48307200\"]\n  18 -> 23 [size =\"48307200\"]\n  19 [size=\"144906240\", alpha=\"0.12\", expect_size=\"43471872\"] \n  19 -> 20 [size =\"43471872\"]\n  19 -> 22 [size =\"43471872\"]\n  20 [size=\"31982933\", alpha=\"0.17\", expect_size=\"9594880\"] \n  20 -> 24 [size =\"9594880\"]\n  21 [size=\"47134720\", alpha=\"0.14\", expect_size=\"14140416\"] \n  22 [size=\"78650027\", alpha=\"0.14\", expect_size=\"23595008\"] \n  22 -> 24 [size =\"23595008\"]\n  22 -> 25 [size =\"23595008\"]\n  23 [size=\"155603627\", alpha=\"0.12\", expect_size=\"46681088\"] \n  23 -> 24 [size =\"46681088\"]\n  24 [size=\"116954453\", alpha=\"0.20\", expect_size=\"35086336\"] \n  25 [size=\"81005227\", alpha=\"0.15\", expect_size=\"24301568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48365568\", alpha=\"0.01\", expect_size=\"24182784\"] \n  1 -> 2 [size =\"24182784\"]\n  2 [size=\"45195264\", alpha=\"0.12\", expect_size=\"22597632\"] \n  2 -> 3 [size =\"22597632\"]\n  3 [size=\"86646784\", alpha=\"0.11\", expect_size=\"43323392\"] \n  3 -> 4 [size =\"43323392\"]\n  4 [size=\"89149440\", alpha=\"0.11\", expect_size=\"44574720\"] \n  4 -> 5 [size =\"44574720\"]\n  5 [size=\"45602816\", alpha=\"0.06\", expect_size=\"22801408\"] \n  5 -> 6 [size =\"22801408\"]\n  6 [size=\"24483840\", alpha=\"0.15\", expect_size=\"12241920\"] \n  6 -> 7 [size =\"12241920\"]\n  7 [size=\"80646144\", alpha=\"0.13\", expect_size=\"40323072\"] \n  7 -> 8 [size =\"40323072\"]\n  8 [size=\"51281920\", alpha=\"0.03\", expect_size=\"25640960\"] \n  8 -> 9 [size =\"25640960\"]\n  9 [size=\"89911296\", alpha=\"0.13\", expect_size=\"44955648\"] \n  9 -> 10 [size =\"44955648\"]\n  10 [size=\"86378496\", alpha=\"0.09\", expect_size=\"43189248\"] \n  10 -> 11 [size =\"43189248\"]\n  11 [size=\"62195712\", alpha=\"0.11\", expect_size=\"31097856\"] \n  11 -> 12 [size =\"31097856\"]\n  12 [size=\"65980416\", alpha=\"0.16\", expect_size=\"32990208\"] \n  12 -> 13 [size =\"32990208\"]\n  13 [size=\"27658240\", alpha=\"0.10\", expect_size=\"13829120\"] \n  13 -> 14 [size =\"13829120\"]\n  14 [size=\"80850944\", alpha=\"0.15\", expect_size=\"40425472\"] \n  14 -> 15 [size =\"40425472\"]\n  15 [size=\"38064128\", alpha=\"0.15\", expect_size=\"19032064\"] \n  15 -> 16 [size =\"19032064\"]\n  16 [size=\"64452608\", alpha=\"0.13\", expect_size=\"32226304\"] \n  16 -> 17 [size =\"32226304\"]\n  17 [size=\"40183808\", alpha=\"0.03\", expect_size=\"20091904\"] \n  17 -> 18 [size =\"20091904\"]\n  18 [size=\"99258368\", alpha=\"0.09\", expect_size=\"49629184\"] \n  18 -> 19 [size =\"49629184\"]\n  19 [size=\"19957760\", alpha=\"0.18\", expect_size=\"9978880\"] \n  19 -> 20 [size =\"9978880\"]\n  20 [size=\"82671616\", alpha=\"0.17\", expect_size=\"41335808\"] \n  20 -> 21 [size =\"41335808\"]\n  21 [size=\"29638656\", alpha=\"0.04\", expect_size=\"14819328\"] \n  21 -> 22 [size =\"14819328\"]\n  22 [size=\"81428480\", alpha=\"0.19\", expect_size=\"40714240\"] \n  22 -> 23 [size =\"40714240\"]\n  23 [size=\"63713280\", alpha=\"0.10\", expect_size=\"31856640\"] \n  23 -> 24 [size =\"31856640\"]\n  24 [size=\"17803264\", alpha=\"0.17\", expect_size=\"8901632\"] \n  24 -> 25 [size =\"8901632\"]\n  25 [size=\"88188928\", alpha=\"0.12\", expect_size=\"44094464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104024747\", alpha=\"0.10\", expect_size=\"31207424\"] \n  1 -> 3 [size =\"31207424\"]\n  2 [size=\"117411840\", alpha=\"0.07\", expect_size=\"35223552\"] \n  2 -> 4 [size =\"35223552\"]\n  3 [size=\"95962453\", alpha=\"0.07\", expect_size=\"28788736\"] \n  3 -> 5 [size =\"28788736\"]\n  4 [size=\"19141973\", alpha=\"0.01\", expect_size=\"5742592\"] \n  5 [size=\"75383467\", alpha=\"0.14\", expect_size=\"22615040\"] \n  5 -> 6 [size =\"22615040\"]\n  6 [size=\"37635413\", alpha=\"0.17\", expect_size=\"11290624\"] \n  6 -> 7 [size =\"11290624\"]\n  7 [size=\"99723947\", alpha=\"0.12\", expect_size=\"29917184\"] \n  7 -> 8 [size =\"29917184\"]\n  8 [size=\"153419093\", alpha=\"0.11\", expect_size=\"46025728\"] \n  8 -> 9 [size =\"46025728\"]\n  8 -> 10 [size =\"46025728\"]\n  9 [size=\"147275093\", alpha=\"0.19\", expect_size=\"44182528\"] \n  9 -> 11 [size =\"44182528\"]\n  10 [size=\"168355840\", alpha=\"0.11\", expect_size=\"50506752\"] \n  11 [size=\"37724160\", alpha=\"0.07\", expect_size=\"11317248\"] \n  11 -> 12 [size =\"11317248\"]\n  12 [size=\"117316267\", alpha=\"0.08\", expect_size=\"35194880\"] \n  12 -> 13 [size =\"35194880\"]\n  12 -> 14 [size =\"35194880\"]\n  13 [size=\"18947413\", alpha=\"0.02\", expect_size=\"5684224\"] \n  13 -> 15 [size =\"5684224\"]\n  14 [size=\"73789440\", alpha=\"0.10\", expect_size=\"22136832\"] \n  14 -> 16 [size =\"22136832\"]\n  15 [size=\"80035840\", alpha=\"0.06\", expect_size=\"24010752\"] \n  15 -> 17 [size =\"24010752\"]\n  16 [size=\"31808853\", alpha=\"0.04\", expect_size=\"9542656\"] \n  16 -> 18 [size =\"9542656\"]\n  17 [size=\"166649173\", alpha=\"0.10\", expect_size=\"49994752\"] \n  18 [size=\"105997653\", alpha=\"0.02\", expect_size=\"31799296\"] \n  18 -> 19 [size =\"31799296\"]\n  19 [size=\"36099413\", alpha=\"0.10\", expect_size=\"10829824\"] \n  19 -> 20 [size =\"10829824\"]\n  20 [size=\"27914240\", alpha=\"0.16\", expect_size=\"8374272\"] \n  20 -> 21 [size =\"8374272\"]\n  20 -> 22 [size =\"8374272\"]\n  21 [size=\"114315947\", alpha=\"0.12\", expect_size=\"34294784\"] \n  21 -> 24 [size =\"34294784\"]\n  22 [size=\"167287467\", alpha=\"0.01\", expect_size=\"50186240\"] \n  22 -> 23 [size =\"50186240\"]\n  23 [size=\"72519680\", alpha=\"0.00\", expect_size=\"21755904\"] \n  24 [size=\"86289067\", alpha=\"0.19\", expect_size=\"25886720\"] \n  24 -> 25 [size =\"25886720\"]\n  25 [size=\"165348693\", alpha=\"0.06\", expect_size=\"49604608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48988160\", alpha=\"0.17\", expect_size=\"19595264\"] \n  1 -> 11 [size =\"19595264\"]\n  1 -> 12 [size =\"19595264\"]\n  1 -> 14 [size =\"19595264\"]\n  1 -> 15 [size =\"19595264\"]\n  2 [size=\"69634560\", alpha=\"0.09\", expect_size=\"27853824\"] \n  2 -> 11 [size =\"27853824\"]\n  2 -> 13 [size =\"27853824\"]\n  2 -> 15 [size =\"27853824\"]\n  2 -> 15 [size =\"27853824\"]\n  2 -> 17 [size =\"27853824\"]\n  3 [size=\"85135360\", alpha=\"0.12\", expect_size=\"34054144\"] \n  3 -> 10 [size =\"34054144\"]\n  3 -> 11 [size =\"34054144\"]\n  3 -> 12 [size =\"34054144\"]\n  3 -> 13 [size =\"34054144\"]\n  3 -> 15 [size =\"34054144\"]\n  3 -> 17 [size =\"34054144\"]\n  4 [size=\"95080960\", alpha=\"0.07\", expect_size=\"38032384\"] \n  4 -> 10 [size =\"38032384\"]\n  4 -> 11 [size =\"38032384\"]\n  4 -> 12 [size =\"38032384\"]\n  4 -> 13 [size =\"38032384\"]\n  4 -> 15 [size =\"38032384\"]\n  4 -> 17 [size =\"38032384\"]\n  4 -> 18 [size =\"38032384\"]\n  5 [size=\"15523840\", alpha=\"0.12\", expect_size=\"6209536\"] \n  5 -> 11 [size =\"6209536\"]\n  5 -> 12 [size =\"6209536\"]\n  5 -> 12 [size =\"6209536\"]\n  5 -> 14 [size =\"6209536\"]\n  5 -> 15 [size =\"6209536\"]\n  5 -> 17 [size =\"6209536\"]\n  5 -> 18 [size =\"6209536\"]\n  6 [size=\"92572160\", alpha=\"0.06\", expect_size=\"37028864\"] \n  6 -> 12 [size =\"37028864\"]\n  6 -> 14 [size =\"37028864\"]\n  6 -> 15 [size =\"37028864\"]\n  6 -> 16 [size =\"37028864\"]\n  6 -> 18 [size =\"37028864\"]\n  7 [size=\"33003520\", alpha=\"0.05\", expect_size=\"13201408\"] \n  7 -> 10 [size =\"13201408\"]\n  7 -> 12 [size =\"13201408\"]\n  7 -> 17 [size =\"13201408\"]\n  8 [size=\"89597440\", alpha=\"0.08\", expect_size=\"35838976\"] \n  8 -> 10 [size =\"35838976\"]\n  8 -> 12 [size =\"35838976\"]\n  8 -> 13 [size =\"35838976\"]\n  9 [size=\"108034560\", alpha=\"0.20\", expect_size=\"43213824\"] \n  9 -> 15 [size =\"43213824\"]\n  9 -> 17 [size =\"43213824\"]\n  10 [size=\"76328960\", alpha=\"0.11\", expect_size=\"30531584\"] \n  10 -> 19 [size =\"30531584\"]\n  10 -> 25 [size =\"30531584\"]\n  10 -> 25 [size =\"30531584\"]\n  11 [size=\"96898560\", alpha=\"0.17\", expect_size=\"38759424\"] \n  11 -> 19 [size =\"38759424\"]\n  11 -> 22 [size =\"38759424\"]\n  11 -> 24 [size =\"38759424\"]\n  12 [size=\"80261120\", alpha=\"0.15\", expect_size=\"32104448\"] \n  12 -> 19 [size =\"32104448\"]\n  12 -> 23 [size =\"32104448\"]\n  12 -> 24 [size =\"32104448\"]\n  13 [size=\"14917120\", alpha=\"0.05\", expect_size=\"5966848\"] \n  13 -> 20 [size =\"5966848\"]\n  13 -> 21 [size =\"5966848\"]\n  13 -> 22 [size =\"5966848\"]\n  13 -> 23 [size =\"5966848\"]\n  13 -> 24 [size =\"5966848\"]\n  13 -> 25 [size =\"5966848\"]\n  14 [size=\"85696000\", alpha=\"0.10\", expect_size=\"34278400\"] \n  14 -> 19 [size =\"34278400\"]\n  14 -> 21 [size =\"34278400\"]\n  14 -> 24 [size =\"34278400\"]\n  15 [size=\"125401600\", alpha=\"0.00\", expect_size=\"50160640\"] \n  15 -> 19 [size =\"50160640\"]\n  15 -> 20 [size =\"50160640\"]\n  15 -> 22 [size =\"50160640\"]\n  15 -> 24 [size =\"50160640\"]\n  16 [size=\"75289600\", alpha=\"0.07\", expect_size=\"30115840\"] \n  16 -> 19 [size =\"30115840\"]\n  16 -> 20 [size =\"30115840\"]\n  16 -> 21 [size =\"30115840\"]\n  16 -> 24 [size =\"30115840\"]\n  16 -> 25 [size =\"30115840\"]\n  17 [size=\"107814400\", alpha=\"0.02\", expect_size=\"43125760\"] \n  17 -> 19 [size =\"43125760\"]\n  17 -> 21 [size =\"43125760\"]\n  17 -> 21 [size =\"43125760\"]\n  17 -> 24 [size =\"43125760\"]\n  17 -> 25 [size =\"43125760\"]\n  18 [size=\"17681920\", alpha=\"0.18\", expect_size=\"7072768\"] \n  18 -> 19 [size =\"7072768\"]\n  18 -> 23 [size =\"7072768\"]\n  18 -> 25 [size =\"7072768\"]\n  19 [size=\"67673600\", alpha=\"0.03\", expect_size=\"27069440\"] \n  20 [size=\"66293760\", alpha=\"0.05\", expect_size=\"26517504\"] \n  21 [size=\"15936000\", alpha=\"0.13\", expect_size=\"6374400\"] \n  22 [size=\"114368000\", alpha=\"0.10\", expect_size=\"45747200\"] \n  23 [size=\"86556160\", alpha=\"0.20\", expect_size=\"34622464\"] \n  24 [size=\"115143680\", alpha=\"0.04\", expect_size=\"46057472\"] \n  25 [size=\"53573120\", alpha=\"0.08\", expect_size=\"21429248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65666560\", alpha=\"0.06\", expect_size=\"26266624\"] \n  1 -> 10 [size =\"26266624\"]\n  1 -> 11 [size =\"26266624\"]\n  1 -> 12 [size =\"26266624\"]\n  1 -> 13 [size =\"26266624\"]\n  1 -> 17 [size =\"26266624\"]\n  2 [size=\"36997120\", alpha=\"0.11\", expect_size=\"14798848\"] \n  2 -> 14 [size =\"14798848\"]\n  2 -> 20 [size =\"14798848\"]\n  2 -> 21 [size =\"14798848\"]\n  3 [size=\"46302720\", alpha=\"0.19\", expect_size=\"18521088\"] \n  3 -> 12 [size =\"18521088\"]\n  3 -> 17 [size =\"18521088\"]\n  3 -> 18 [size =\"18521088\"]\n  4 [size=\"72002560\", alpha=\"0.17\", expect_size=\"28801024\"] \n  4 -> 11 [size =\"28801024\"]\n  4 -> 19 [size =\"28801024\"]\n  5 [size=\"65236480\", alpha=\"0.02\", expect_size=\"26094592\"] \n  5 -> 13 [size =\"26094592\"]\n  5 -> 14 [size =\"26094592\"]\n  5 -> 15 [size =\"26094592\"]\n  5 -> 20 [size =\"26094592\"]\n  6 [size=\"79508480\", alpha=\"0.19\", expect_size=\"31803392\"] \n  6 -> 10 [size =\"31803392\"]\n  6 -> 11 [size =\"31803392\"]\n  6 -> 15 [size =\"31803392\"]\n  6 -> 17 [size =\"31803392\"]\n  6 -> 18 [size =\"31803392\"]\n  6 -> 19 [size =\"31803392\"]\n  7 [size=\"46236160\", alpha=\"0.20\", expect_size=\"18494464\"] \n  7 -> 11 [size =\"18494464\"]\n  7 -> 11 [size =\"18494464\"]\n  7 -> 12 [size =\"18494464\"]\n  7 -> 15 [size =\"18494464\"]\n  7 -> 16 [size =\"18494464\"]\n  7 -> 18 [size =\"18494464\"]\n  8 [size=\"26383360\", alpha=\"0.07\", expect_size=\"10553344\"] \n  8 -> 15 [size =\"10553344\"]\n  8 -> 17 [size =\"10553344\"]\n  8 -> 18 [size =\"10553344\"]\n  9 [size=\"36966400\", alpha=\"0.13\", expect_size=\"14786560\"] \n  9 -> 10 [size =\"14786560\"]\n  9 -> 11 [size =\"14786560\"]\n  9 -> 13 [size =\"14786560\"]\n  9 -> 14 [size =\"14786560\"]\n  9 -> 15 [size =\"14786560\"]\n  9 -> 21 [size =\"14786560\"]\n  10 [size=\"104729600\", alpha=\"0.11\", expect_size=\"41891840\"] \n  10 -> 24 [size =\"41891840\"]\n  10 -> 25 [size =\"41891840\"]\n  11 [size=\"79068160\", alpha=\"0.14\", expect_size=\"31627264\"] \n  11 -> 23 [size =\"31627264\"]\n  11 -> 24 [size =\"31627264\"]\n  12 [size=\"114964480\", alpha=\"0.14\", expect_size=\"45985792\"] \n  12 -> 23 [size =\"45985792\"]\n  12 -> 24 [size =\"45985792\"]\n  12 -> 25 [size =\"45985792\"]\n  13 [size=\"63278080\", alpha=\"0.14\", expect_size=\"25311232\"] \n  13 -> 23 [size =\"25311232\"]\n  14 [size=\"55011840\", alpha=\"0.01\", expect_size=\"22004736\"] \n  14 -> 24 [size =\"22004736\"]\n  14 -> 25 [size =\"22004736\"]\n  15 [size=\"34675200\", alpha=\"0.09\", expect_size=\"13870080\"] \n  15 -> 24 [size =\"13870080\"]\n  15 -> 25 [size =\"13870080\"]\n  16 [size=\"48074240\", alpha=\"0.13\", expect_size=\"19229696\"] \n  16 -> 22 [size =\"19229696\"]\n  16 -> 23 [size =\"19229696\"]\n  17 [size=\"40135680\", alpha=\"0.06\", expect_size=\"16054272\"] \n  17 -> 23 [size =\"16054272\"]\n  17 -> 24 [size =\"16054272\"]\n  18 [size=\"39347200\", alpha=\"0.12\", expect_size=\"15738880\"] \n  18 -> 22 [size =\"15738880\"]\n  18 -> 23 [size =\"15738880\"]\n  19 [size=\"82032640\", alpha=\"0.00\", expect_size=\"32813056\"] \n  20 [size=\"39385600\", alpha=\"0.01\", expect_size=\"15754240\"] \n  20 -> 22 [size =\"15754240\"]\n  20 -> 25 [size =\"15754240\"]\n  21 [size=\"104739840\", alpha=\"0.10\", expect_size=\"41895936\"] \n  21 -> 23 [size =\"41895936\"]\n  21 -> 25 [size =\"41895936\"]\n  22 [size=\"68014080\", alpha=\"0.03\", expect_size=\"27205632\"] \n  23 [size=\"34339840\", alpha=\"0.02\", expect_size=\"13735936\"] \n  24 [size=\"119093760\", alpha=\"0.10\", expect_size=\"47637504\"] \n  25 [size=\"126809600\", alpha=\"0.08\", expect_size=\"50723840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47472640\", alpha=\"0.00\", expect_size=\"23736320\"] \n  1 -> 23 [size =\"23736320\"]\n  2 [size=\"34136064\", alpha=\"0.02\", expect_size=\"17068032\"] \n  2 -> 22 [size =\"17068032\"]\n  2 -> 23 [size =\"17068032\"]\n  3 [size=\"27293696\", alpha=\"0.01\", expect_size=\"13646848\"] \n  3 -> 22 [size =\"13646848\"]\n  3 -> 23 [size =\"13646848\"]\n  4 [size=\"34992128\", alpha=\"0.09\", expect_size=\"17496064\"] \n  4 -> 21 [size =\"17496064\"]\n  4 -> 22 [size =\"17496064\"]\n  5 [size=\"40456192\", alpha=\"0.16\", expect_size=\"20228096\"] \n  5 -> 21 [size =\"20228096\"]\n  5 -> 23 [size =\"20228096\"]\n  6 [size=\"71813120\", alpha=\"0.10\", expect_size=\"35906560\"] \n  6 -> 21 [size =\"35906560\"]\n  6 -> 23 [size =\"35906560\"]\n  7 [size=\"18632704\", alpha=\"0.12\", expect_size=\"9316352\"] \n  7 -> 21 [size =\"9316352\"]\n  7 -> 22 [size =\"9316352\"]\n  7 -> 24 [size =\"9316352\"]\n  8 [size=\"80879616\", alpha=\"0.15\", expect_size=\"40439808\"] \n  8 -> 22 [size =\"40439808\"]\n  9 [size=\"38189056\", alpha=\"0.03\", expect_size=\"19094528\"] \n  9 -> 21 [size =\"19094528\"]\n  9 -> 22 [size =\"19094528\"]\n  9 -> 25 [size =\"19094528\"]\n  10 [size=\"84154368\", alpha=\"0.19\", expect_size=\"42077184\"] \n  10 -> 20 [size =\"42077184\"]\n  11 [size=\"60053504\", alpha=\"0.01\", expect_size=\"30026752\"] \n  12 [size=\"60659712\", alpha=\"0.09\", expect_size=\"30329856\"] \n  13 [size=\"72050688\", alpha=\"0.09\", expect_size=\"36025344\"] \n  13 -> 20 [size =\"36025344\"]\n  13 -> 22 [size =\"36025344\"]\n  13 -> 23 [size =\"36025344\"]\n  14 [size=\"74780672\", alpha=\"0.15\", expect_size=\"37390336\"] \n  14 -> 20 [size =\"37390336\"]\n  14 -> 23 [size =\"37390336\"]\n  15 [size=\"23656448\", alpha=\"0.12\", expect_size=\"11828224\"] \n  16 [size=\"96858112\", alpha=\"0.12\", expect_size=\"48429056\"] \n  16 -> 20 [size =\"48429056\"]\n  16 -> 22 [size =\"48429056\"]\n  17 [size=\"49412096\", alpha=\"0.10\", expect_size=\"24706048\"] \n  17 -> 20 [size =\"24706048\"]\n  18 [size=\"13170688\", alpha=\"0.12\", expect_size=\"6585344\"] \n  18 -> 21 [size =\"6585344\"]\n  19 [size=\"84334592\", alpha=\"0.14\", expect_size=\"42167296\"] \n  20 [size=\"96647168\", alpha=\"0.15\", expect_size=\"48323584\"] \n  21 [size=\"91113472\", alpha=\"0.03\", expect_size=\"45556736\"] \n  22 [size=\"94337024\", alpha=\"0.17\", expect_size=\"47168512\"] \n  23 [size=\"44042240\", alpha=\"0.14\", expect_size=\"22021120\"] \n  24 [size=\"84408320\", alpha=\"0.17\", expect_size=\"42204160\"] \n  25 [size=\"60000256\", alpha=\"0.05\", expect_size=\"30000128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130967040\", alpha=\"0.20\", expect_size=\"52386816\"] \n  1 -> 2 [size =\"52386816\"]\n  2 [size=\"75898880\", alpha=\"0.14\", expect_size=\"30359552\"] \n  2 -> 3 [size =\"30359552\"]\n  3 [size=\"129364480\", alpha=\"0.18\", expect_size=\"51745792\"] \n  3 -> 4 [size =\"51745792\"]\n  4 [size=\"100610560\", alpha=\"0.19\", expect_size=\"40244224\"] \n  4 -> 5 [size =\"40244224\"]\n  4 -> 6 [size =\"40244224\"]\n  5 [size=\"40744960\", alpha=\"0.17\", expect_size=\"16297984\"] \n  6 [size=\"62786560\", alpha=\"0.11\", expect_size=\"25114624\"] \n  6 -> 7 [size =\"25114624\"]\n  7 [size=\"96158720\", alpha=\"0.12\", expect_size=\"38463488\"] \n  7 -> 8 [size =\"38463488\"]\n  8 [size=\"105169920\", alpha=\"0.13\", expect_size=\"42067968\"] \n  8 -> 9 [size =\"42067968\"]\n  8 -> 10 [size =\"42067968\"]\n  9 [size=\"21726720\", alpha=\"0.15\", expect_size=\"8690688\"] \n  9 -> 11 [size =\"8690688\"]\n  10 [size=\"41661440\", alpha=\"0.11\", expect_size=\"16664576\"] \n  11 [size=\"126617600\", alpha=\"0.12\", expect_size=\"50647040\"] \n  11 -> 12 [size =\"50647040\"]\n  11 -> 13 [size =\"50647040\"]\n  12 [size=\"123729920\", alpha=\"0.05\", expect_size=\"49491968\"] \n  12 -> 14 [size =\"49491968\"]\n  13 [size=\"88140800\", alpha=\"0.01\", expect_size=\"35256320\"] \n  13 -> 14 [size =\"35256320\"]\n  14 [size=\"75271680\", alpha=\"0.18\", expect_size=\"30108672\"] \n  14 -> 15 [size =\"30108672\"]\n  15 [size=\"70371840\", alpha=\"0.18\", expect_size=\"28148736\"] \n  15 -> 16 [size =\"28148736\"]\n  16 [size=\"50199040\", alpha=\"0.02\", expect_size=\"20079616\"] \n  16 -> 17 [size =\"20079616\"]\n  17 [size=\"113290240\", alpha=\"0.19\", expect_size=\"45316096\"] \n  17 -> 18 [size =\"45316096\"]\n  18 [size=\"63347200\", alpha=\"0.17\", expect_size=\"25338880\"] \n  18 -> 19 [size =\"25338880\"]\n  19 [size=\"19806720\", alpha=\"0.01\", expect_size=\"7922688\"] \n  19 -> 20 [size =\"7922688\"]\n  20 [size=\"109519360\", alpha=\"0.12\", expect_size=\"43807744\"] \n  20 -> 21 [size =\"43807744\"]\n  21 [size=\"58777600\", alpha=\"0.02\", expect_size=\"23511040\"] \n  21 -> 22 [size =\"23511040\"]\n  22 [size=\"126858240\", alpha=\"0.04\", expect_size=\"50743296\"] \n  22 -> 23 [size =\"50743296\"]\n  22 -> 24 [size =\"50743296\"]\n  23 [size=\"40995840\", alpha=\"0.05\", expect_size=\"16398336\"] \n  24 [size=\"48755200\", alpha=\"0.01\", expect_size=\"19502080\"] \n  24 -> 25 [size =\"19502080\"]\n  25 [size=\"34836480\", alpha=\"0.01\", expect_size=\"13934592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89689600\", alpha=\"0.08\", expect_size=\"35875840\"] \n  1 -> 2 [size =\"35875840\"]\n  2 [size=\"128010240\", alpha=\"0.09\", expect_size=\"51204096\"] \n  2 -> 3 [size =\"51204096\"]\n  3 [size=\"38241280\", alpha=\"0.11\", expect_size=\"15296512\"] \n  3 -> 4 [size =\"15296512\"]\n  4 [size=\"81505280\", alpha=\"0.14\", expect_size=\"32602112\"] \n  4 -> 5 [size =\"32602112\"]\n  5 [size=\"66088960\", alpha=\"0.12\", expect_size=\"26435584\"] \n  5 -> 6 [size =\"26435584\"]\n  6 [size=\"41338880\", alpha=\"0.20\", expect_size=\"16535552\"] \n  6 -> 7 [size =\"16535552\"]\n  7 [size=\"89466880\", alpha=\"0.15\", expect_size=\"35786752\"] \n  7 -> 8 [size =\"35786752\"]\n  8 [size=\"54149120\", alpha=\"0.19\", expect_size=\"21659648\"] \n  8 -> 9 [size =\"21659648\"]\n  9 [size=\"80486400\", alpha=\"0.16\", expect_size=\"32194560\"] \n  9 -> 10 [size =\"32194560\"]\n  10 [size=\"34163200\", alpha=\"0.01\", expect_size=\"13665280\"] \n  10 -> 11 [size =\"13665280\"]\n  11 [size=\"92088320\", alpha=\"0.03\", expect_size=\"36835328\"] \n  11 -> 12 [size =\"36835328\"]\n  12 [size=\"18444800\", alpha=\"0.13\", expect_size=\"7377920\"] \n  12 -> 13 [size =\"7377920\"]\n  13 [size=\"74178560\", alpha=\"0.01\", expect_size=\"29671424\"] \n  13 -> 14 [size =\"29671424\"]\n  14 [size=\"23380480\", alpha=\"0.04\", expect_size=\"9352192\"] \n  14 -> 15 [size =\"9352192\"]\n  15 [size=\"105564160\", alpha=\"0.02\", expect_size=\"42225664\"] \n  15 -> 16 [size =\"42225664\"]\n  16 [size=\"57070080\", alpha=\"0.02\", expect_size=\"22828032\"] \n  16 -> 17 [size =\"22828032\"]\n  17 [size=\"55528960\", alpha=\"0.05\", expect_size=\"22211584\"] \n  17 -> 18 [size =\"22211584\"]\n  18 [size=\"27215360\", alpha=\"0.08\", expect_size=\"10886144\"] \n  18 -> 19 [size =\"10886144\"]\n  19 [size=\"21775360\", alpha=\"0.03\", expect_size=\"8710144\"] \n  19 -> 20 [size =\"8710144\"]\n  20 [size=\"117824000\", alpha=\"0.06\", expect_size=\"47129600\"] \n  20 -> 21 [size =\"47129600\"]\n  21 [size=\"120919040\", alpha=\"0.03\", expect_size=\"48367616\"] \n  21 -> 22 [size =\"48367616\"]\n  22 [size=\"19105280\", alpha=\"0.19\", expect_size=\"7642112\"] \n  22 -> 23 [size =\"7642112\"]\n  23 [size=\"95395840\", alpha=\"0.19\", expect_size=\"38158336\"] \n  23 -> 24 [size =\"38158336\"]\n  24 [size=\"101091840\", alpha=\"0.11\", expect_size=\"40436736\"] \n  24 -> 25 [size =\"40436736\"]\n  25 [size=\"123056640\", alpha=\"0.11\", expect_size=\"49222656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73164800\", alpha=\"0.02\", expect_size=\"21949440\"] \n  1 -> 3 [size =\"21949440\"]\n  2 [size=\"167632213\", alpha=\"0.04\", expect_size=\"50289664\"] \n  2 -> 4 [size =\"50289664\"]\n  3 [size=\"145879040\", alpha=\"0.09\", expect_size=\"43763712\"] \n  3 -> 5 [size =\"43763712\"]\n  3 -> 6 [size =\"43763712\"]\n  4 [size=\"34778453\", alpha=\"0.05\", expect_size=\"10433536\"] \n  5 [size=\"42878293\", alpha=\"0.04\", expect_size=\"12863488\"] \n  6 [size=\"35959467\", alpha=\"0.18\", expect_size=\"10787840\"] \n  6 -> 7 [size =\"10787840\"]\n  7 [size=\"37096107\", alpha=\"0.10\", expect_size=\"11128832\"] \n  7 -> 8 [size =\"11128832\"]\n  8 [size=\"51510613\", alpha=\"0.10\", expect_size=\"15453184\"] \n  8 -> 9 [size =\"15453184\"]\n  8 -> 10 [size =\"15453184\"]\n  9 [size=\"123856213\", alpha=\"0.14\", expect_size=\"37156864\"] \n  10 [size=\"78424747\", alpha=\"0.09\", expect_size=\"23527424\"] \n  10 -> 11 [size =\"23527424\"]\n  11 [size=\"18756267\", alpha=\"0.14\", expect_size=\"5626880\"] \n  11 -> 12 [size =\"5626880\"]\n  11 -> 13 [size =\"5626880\"]\n  12 [size=\"36184747\", alpha=\"0.14\", expect_size=\"10855424\"] \n  13 [size=\"70365867\", alpha=\"0.13\", expect_size=\"21109760\"] \n  13 -> 14 [size =\"21109760\"]\n  14 [size=\"141506560\", alpha=\"0.04\", expect_size=\"42451968\"] \n  14 -> 15 [size =\"42451968\"]\n  15 [size=\"26596693\", alpha=\"0.07\", expect_size=\"7979008\"] \n  15 -> 16 [size =\"7979008\"]\n  15 -> 17 [size =\"7979008\"]\n  16 [size=\"59313493\", alpha=\"0.04\", expect_size=\"17794048\"] \n  16 -> 18 [size =\"17794048\"]\n  17 [size=\"45339307\", alpha=\"0.03\", expect_size=\"13601792\"] \n  18 [size=\"121036800\", alpha=\"0.00\", expect_size=\"36311040\"] \n  18 -> 19 [size =\"36311040\"]\n  18 -> 20 [size =\"36311040\"]\n  19 [size=\"40185173\", alpha=\"0.09\", expect_size=\"12055552\"] \n  19 -> 21 [size =\"12055552\"]\n  19 -> 22 [size =\"12055552\"]\n  20 [size=\"151797760\", alpha=\"0.13\", expect_size=\"45539328\"] \n  21 [size=\"68140373\", alpha=\"0.04\", expect_size=\"20442112\"] \n  21 -> 23 [size =\"20442112\"]\n  21 -> 24 [size =\"20442112\"]\n  22 [size=\"19899733\", alpha=\"0.14\", expect_size=\"5969920\"] \n  23 [size=\"130263040\", alpha=\"0.20\", expect_size=\"39078912\"] \n  24 [size=\"76772693\", alpha=\"0.08\", expect_size=\"23031808\"] \n  24 -> 25 [size =\"23031808\"]\n  25 [size=\"107421013\", alpha=\"0.00\", expect_size=\"32226304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73789440\", alpha=\"0.17\", expect_size=\"29515776\"] \n  1 -> 18 [size =\"29515776\"]\n  1 -> 19 [size =\"29515776\"]\n  1 -> 21 [size =\"29515776\"]\n  1 -> 25 [size =\"29515776\"]\n  2 [size=\"24752640\", alpha=\"0.08\", expect_size=\"9901056\"] \n  2 -> 19 [size =\"9901056\"]\n  2 -> 19 [size =\"9901056\"]\n  2 -> 25 [size =\"9901056\"]\n  3 [size=\"117068800\", alpha=\"0.03\", expect_size=\"46827520\"] \n  3 -> 18 [size =\"46827520\"]\n  3 -> 19 [size =\"46827520\"]\n  3 -> 20 [size =\"46827520\"]\n  3 -> 22 [size =\"46827520\"]\n  3 -> 24 [size =\"46827520\"]\n  3 -> 25 [size =\"46827520\"]\n  4 [size=\"106731520\", alpha=\"0.11\", expect_size=\"42692608\"] \n  5 [size=\"102940160\", alpha=\"0.15\", expect_size=\"41176064\"] \n  5 -> 21 [size =\"41176064\"]\n  6 [size=\"126607360\", alpha=\"0.11\", expect_size=\"50642944\"] \n  6 -> 19 [size =\"50642944\"]\n  6 -> 22 [size =\"50642944\"]\n  6 -> 25 [size =\"50642944\"]\n  7 [size=\"26268160\", alpha=\"0.18\", expect_size=\"10507264\"] \n  7 -> 19 [size =\"10507264\"]\n  7 -> 20 [size =\"10507264\"]\n  7 -> 23 [size =\"10507264\"]\n  7 -> 25 [size =\"10507264\"]\n  8 [size=\"24432640\", alpha=\"0.05\", expect_size=\"9773056\"] \n  8 -> 18 [size =\"9773056\"]\n  8 -> 19 [size =\"9773056\"]\n  8 -> 24 [size =\"9773056\"]\n  9 [size=\"27909120\", alpha=\"0.04\", expect_size=\"11163648\"] \n  9 -> 18 [size =\"11163648\"]\n  9 -> 21 [size =\"11163648\"]\n  9 -> 24 [size =\"11163648\"]\n  10 [size=\"68331520\", alpha=\"0.08\", expect_size=\"27332608\"] \n  10 -> 23 [size =\"27332608\"]\n  10 -> 25 [size =\"27332608\"]\n  11 [size=\"99985920\", alpha=\"0.10\", expect_size=\"39994368\"] \n  11 -> 25 [size =\"39994368\"]\n  12 [size=\"83878400\", alpha=\"0.16\", expect_size=\"33551360\"] \n  13 [size=\"130754560\", alpha=\"0.02\", expect_size=\"52301824\"] \n  13 -> 18 [size =\"52301824\"]\n  13 -> 19 [size =\"52301824\"]\n  13 -> 21 [size =\"52301824\"]\n  14 [size=\"32949760\", alpha=\"0.04\", expect_size=\"13179904\"] \n  14 -> 18 [size =\"13179904\"]\n  14 -> 19 [size =\"13179904\"]\n  15 [size=\"99842560\", alpha=\"0.14\", expect_size=\"39937024\"] \n  15 -> 18 [size =\"39937024\"]\n  15 -> 19 [size =\"39937024\"]\n  15 -> 20 [size =\"39937024\"]\n  15 -> 21 [size =\"39937024\"]\n  15 -> 23 [size =\"39937024\"]\n  16 [size=\"72258560\", alpha=\"0.11\", expect_size=\"28903424\"] \n  16 -> 19 [size =\"28903424\"]\n  16 -> 19 [size =\"28903424\"]\n  16 -> 23 [size =\"28903424\"]\n  17 [size=\"20902400\", alpha=\"0.13\", expect_size=\"8360960\"] \n  17 -> 19 [size =\"8360960\"]\n  17 -> 20 [size =\"8360960\"]\n  17 -> 21 [size =\"8360960\"]\n  17 -> 25 [size =\"8360960\"]\n  18 [size=\"128647680\", alpha=\"0.13\", expect_size=\"51459072\"] \n  19 [size=\"43002880\", alpha=\"0.10\", expect_size=\"17201152\"] \n  20 [size=\"64135680\", alpha=\"0.07\", expect_size=\"25654272\"] \n  21 [size=\"113510400\", alpha=\"0.14\", expect_size=\"45404160\"] \n  22 [size=\"53944320\", alpha=\"0.04\", expect_size=\"21577728\"] \n  23 [size=\"29706240\", alpha=\"0.11\", expect_size=\"11882496\"] \n  24 [size=\"40778240\", alpha=\"0.14\", expect_size=\"16311296\"] \n  25 [size=\"66557440\", alpha=\"0.12\", expect_size=\"26622976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19302400\", alpha=\"0.07\", expect_size=\"9651200\"] \n  1 -> 16 [size =\"9651200\"]\n  1 -> 17 [size =\"9651200\"]\n  1 -> 18 [size =\"9651200\"]\n  1 -> 20 [size =\"9651200\"]\n  1 -> 23 [size =\"9651200\"]\n  2 [size=\"47749120\", alpha=\"0.08\", expect_size=\"23874560\"] \n  2 -> 16 [size =\"23874560\"]\n  2 -> 18 [size =\"23874560\"]\n  2 -> 25 [size =\"23874560\"]\n  3 [size=\"45379584\", alpha=\"0.11\", expect_size=\"22689792\"] \n  3 -> 17 [size =\"22689792\"]\n  3 -> 21 [size =\"22689792\"]\n  3 -> 22 [size =\"22689792\"]\n  4 [size=\"20398080\", alpha=\"0.10\", expect_size=\"10199040\"] \n  4 -> 16 [size =\"10199040\"]\n  4 -> 21 [size =\"10199040\"]\n  5 [size=\"15329280\", alpha=\"0.18\", expect_size=\"7664640\"] \n  5 -> 21 [size =\"7664640\"]\n  6 [size=\"59172864\", alpha=\"0.17\", expect_size=\"29586432\"] \n  6 -> 20 [size =\"29586432\"]\n  6 -> 22 [size =\"29586432\"]\n  6 -> 23 [size =\"29586432\"]\n  6 -> 25 [size =\"29586432\"]\n  7 [size=\"60624896\", alpha=\"0.12\", expect_size=\"30312448\"] \n  7 -> 17 [size =\"30312448\"]\n  7 -> 21 [size =\"30312448\"]\n  7 -> 22 [size =\"30312448\"]\n  7 -> 23 [size =\"30312448\"]\n  7 -> 25 [size =\"30312448\"]\n  8 [size=\"14008320\", alpha=\"0.06\", expect_size=\"7004160\"] \n  8 -> 22 [size =\"7004160\"]\n  8 -> 23 [size =\"7004160\"]\n  9 [size=\"88977408\", alpha=\"0.10\", expect_size=\"44488704\"] \n  9 -> 16 [size =\"44488704\"]\n  9 -> 18 [size =\"44488704\"]\n  9 -> 20 [size =\"44488704\"]\n  10 [size=\"72814592\", alpha=\"0.17\", expect_size=\"36407296\"] \n  10 -> 19 [size =\"36407296\"]\n  10 -> 20 [size =\"36407296\"]\n  10 -> 21 [size =\"36407296\"]\n  10 -> 22 [size =\"36407296\"]\n  10 -> 25 [size =\"36407296\"]\n  11 [size=\"49207296\", alpha=\"0.00\", expect_size=\"24603648\"] \n  11 -> 17 [size =\"24603648\"]\n  11 -> 19 [size =\"24603648\"]\n  11 -> 20 [size =\"24603648\"]\n  11 -> 21 [size =\"24603648\"]\n  12 [size=\"83363840\", alpha=\"0.06\", expect_size=\"41681920\"] \n  12 -> 19 [size =\"41681920\"]\n  12 -> 19 [size =\"41681920\"]\n  12 -> 20 [size =\"41681920\"]\n  12 -> 21 [size =\"41681920\"]\n  12 -> 24 [size =\"41681920\"]\n  13 [size=\"24741888\", alpha=\"0.16\", expect_size=\"12370944\"] \n  13 -> 19 [size =\"12370944\"]\n  13 -> 20 [size =\"12370944\"]\n  14 [size=\"74942464\", alpha=\"0.04\", expect_size=\"37471232\"] \n  15 [size=\"29679616\", alpha=\"0.08\", expect_size=\"14839808\"] \n  15 -> 23 [size =\"14839808\"]\n  16 [size=\"21807104\", alpha=\"0.11\", expect_size=\"10903552\"] \n  17 [size=\"103976960\", alpha=\"0.19\", expect_size=\"51988480\"] \n  18 [size=\"68317184\", alpha=\"0.11\", expect_size=\"34158592\"] \n  19 [size=\"96624640\", alpha=\"0.11\", expect_size=\"48312320\"] \n  20 [size=\"50462720\", alpha=\"0.02\", expect_size=\"25231360\"] \n  21 [size=\"36743168\", alpha=\"0.16\", expect_size=\"18371584\"] \n  22 [size=\"39004160\", alpha=\"0.17\", expect_size=\"19502080\"] \n  23 [size=\"67983360\", alpha=\"0.06\", expect_size=\"33991680\"] \n  24 [size=\"48676864\", alpha=\"0.17\", expect_size=\"24338432\"] \n  25 [size=\"68014080\", alpha=\"0.09\", expect_size=\"34007040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119029760\", alpha=\"0.00\", expect_size=\"35708928\"] \n  1 -> 12 [size =\"35708928\"]\n  1 -> 13 [size =\"35708928\"]\n  1 -> 14 [size =\"35708928\"]\n  2 [size=\"66495147\", alpha=\"0.02\", expect_size=\"19948544\"] \n  2 -> 12 [size =\"19948544\"]\n  2 -> 14 [size =\"19948544\"]\n  3 [size=\"116090880\", alpha=\"0.11\", expect_size=\"34827264\"] \n  3 -> 11 [size =\"34827264\"]\n  4 [size=\"19227307\", alpha=\"0.15\", expect_size=\"5768192\"] \n  4 -> 10 [size =\"5768192\"]\n  4 -> 12 [size =\"5768192\"]\n  4 -> 14 [size =\"5768192\"]\n  4 -> 15 [size =\"5768192\"]\n  5 [size=\"101928960\", alpha=\"0.05\", expect_size=\"30578688\"] \n  5 -> 10 [size =\"30578688\"]\n  5 -> 11 [size =\"30578688\"]\n  6 [size=\"173817173\", alpha=\"0.03\", expect_size=\"52145152\"] \n  7 [size=\"146786987\", alpha=\"0.04\", expect_size=\"44036096\"] \n  7 -> 11 [size =\"44036096\"]\n  7 -> 14 [size =\"44036096\"]\n  8 [size=\"81558187\", alpha=\"0.09\", expect_size=\"24467456\"] \n  8 -> 11 [size =\"24467456\"]\n  8 -> 14 [size =\"24467456\"]\n  9 [size=\"120634027\", alpha=\"0.05\", expect_size=\"36190208\"] \n  9 -> 14 [size =\"36190208\"]\n  10 [size=\"164515840\", alpha=\"0.06\", expect_size=\"49354752\"] \n  10 -> 16 [size =\"49354752\"]\n  10 -> 17 [size =\"49354752\"]\n  10 -> 19 [size =\"49354752\"]\n  10 -> 21 [size =\"49354752\"]\n  10 -> 24 [size =\"49354752\"]\n  10 -> 25 [size =\"49354752\"]\n  11 [size=\"134260053\", alpha=\"0.06\", expect_size=\"40278016\"] \n  11 -> 17 [size =\"40278016\"]\n  11 -> 18 [size =\"40278016\"]\n  11 -> 19 [size =\"40278016\"]\n  11 -> 20 [size =\"40278016\"]\n  11 -> 24 [size =\"40278016\"]\n  11 -> 25 [size =\"40278016\"]\n  12 [size=\"135956480\", alpha=\"0.15\", expect_size=\"40786944\"] \n  12 -> 18 [size =\"40786944\"]\n  12 -> 18 [size =\"40786944\"]\n  12 -> 20 [size =\"40786944\"]\n  12 -> 21 [size =\"40786944\"]\n  12 -> 23 [size =\"40786944\"]\n  13 [size=\"153968640\", alpha=\"0.07\", expect_size=\"46190592\"] \n  13 -> 21 [size =\"46190592\"]\n  13 -> 22 [size =\"46190592\"]\n  14 [size=\"82561707\", alpha=\"0.04\", expect_size=\"24768512\"] \n  14 -> 16 [size =\"24768512\"]\n  14 -> 20 [size =\"24768512\"]\n  14 -> 21 [size =\"24768512\"]\n  14 -> 23 [size =\"24768512\"]\n  14 -> 24 [size =\"24768512\"]\n  14 -> 25 [size =\"24768512\"]\n  15 [size=\"41663147\", alpha=\"0.18\", expect_size=\"12498944\"] \n  15 -> 16 [size =\"12498944\"]\n  15 -> 17 [size =\"12498944\"]\n  15 -> 18 [size =\"12498944\"]\n  15 -> 19 [size =\"12498944\"]\n  15 -> 20 [size =\"12498944\"]\n  15 -> 21 [size =\"12498944\"]\n  15 -> 22 [size =\"12498944\"]\n  15 -> 23 [size =\"12498944\"]\n  15 -> 25 [size =\"12498944\"]\n  16 [size=\"81230507\", alpha=\"0.04\", expect_size=\"24369152\"] \n  17 [size=\"104881493\", alpha=\"0.08\", expect_size=\"31464448\"] \n  18 [size=\"135877973\", alpha=\"0.19\", expect_size=\"40763392\"] \n  19 [size=\"49401173\", alpha=\"0.06\", expect_size=\"14820352\"] \n  20 [size=\"91132587\", alpha=\"0.06\", expect_size=\"27339776\"] \n  21 [size=\"139724800\", alpha=\"0.20\", expect_size=\"41917440\"] \n  22 [size=\"26589867\", alpha=\"0.19\", expect_size=\"7976960\"] \n  23 [size=\"145056427\", alpha=\"0.11\", expect_size=\"43516928\"] \n  24 [size=\"42434560\", alpha=\"0.03\", expect_size=\"12730368\"] \n  25 [size=\"75069440\", alpha=\"0.06\", expect_size=\"22520832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82288640\", alpha=\"0.17\", expect_size=\"24686592\"] \n  1 -> 17 [size =\"24686592\"]\n  1 -> 24 [size =\"24686592\"]\n  2 [size=\"88470187\", alpha=\"0.11\", expect_size=\"26541056\"] \n  2 -> 17 [size =\"26541056\"]\n  2 -> 18 [size =\"26541056\"]\n  2 -> 24 [size =\"26541056\"]\n  3 [size=\"131382613\", alpha=\"0.12\", expect_size=\"39414784\"] \n  3 -> 22 [size =\"39414784\"]\n  3 -> 24 [size =\"39414784\"]\n  3 -> 24 [size =\"39414784\"]\n  4 [size=\"75400533\", alpha=\"0.19\", expect_size=\"22620160\"] \n  4 -> 17 [size =\"22620160\"]\n  4 -> 24 [size =\"22620160\"]\n  5 [size=\"130935467\", alpha=\"0.02\", expect_size=\"39280640\"] \n  6 [size=\"61194240\", alpha=\"0.12\", expect_size=\"18358272\"] \n  6 -> 18 [size =\"18358272\"]\n  6 -> 21 [size =\"18358272\"]\n  6 -> 24 [size =\"18358272\"]\n  7 [size=\"63505067\", alpha=\"0.02\", expect_size=\"19051520\"] \n  7 -> 21 [size =\"19051520\"]\n  7 -> 23 [size =\"19051520\"]\n  8 [size=\"86132053\", alpha=\"0.10\", expect_size=\"25839616\"] \n  8 -> 21 [size =\"25839616\"]\n  8 -> 23 [size =\"25839616\"]\n  8 -> 24 [size =\"25839616\"]\n  8 -> 25 [size =\"25839616\"]\n  9 [size=\"153774080\", alpha=\"0.00\", expect_size=\"46132224\"] \n  9 -> 17 [size =\"46132224\"]\n  9 -> 19 [size =\"46132224\"]\n  9 -> 24 [size =\"46132224\"]\n  10 [size=\"157378560\", alpha=\"0.08\", expect_size=\"47213568\"] \n  10 -> 17 [size =\"47213568\"]\n  10 -> 23 [size =\"47213568\"]\n  10 -> 25 [size =\"47213568\"]\n  11 [size=\"58197333\", alpha=\"0.04\", expect_size=\"17459200\"] \n  11 -> 17 [size =\"17459200\"]\n  11 -> 20 [size =\"17459200\"]\n  12 [size=\"32959147\", alpha=\"0.15\", expect_size=\"9887744\"] \n  12 -> 17 [size =\"9887744\"]\n  12 -> 22 [size =\"9887744\"]\n  12 -> 24 [size =\"9887744\"]\n  12 -> 25 [size =\"9887744\"]\n  13 [size=\"121398613\", alpha=\"0.01\", expect_size=\"36419584\"] \n  13 -> 17 [size =\"36419584\"]\n  13 -> 21 [size =\"36419584\"]\n  13 -> 22 [size =\"36419584\"]\n  14 [size=\"60555947\", alpha=\"0.17\", expect_size=\"18166784\"] \n  14 -> 17 [size =\"18166784\"]\n  14 -> 22 [size =\"18166784\"]\n  14 -> 23 [size =\"18166784\"]\n  15 [size=\"54811307\", alpha=\"0.16\", expect_size=\"16443392\"] \n  15 -> 17 [size =\"16443392\"]\n  15 -> 24 [size =\"16443392\"]\n  15 -> 25 [size =\"16443392\"]\n  16 [size=\"66884267\", alpha=\"0.04\", expect_size=\"20065280\"] \n  16 -> 19 [size =\"20065280\"]\n  16 -> 21 [size =\"20065280\"]\n  16 -> 23 [size =\"20065280\"]\n  17 [size=\"160904533\", alpha=\"0.12\", expect_size=\"48271360\"] \n  18 [size=\"22913707\", alpha=\"0.10\", expect_size=\"6874112\"] \n  19 [size=\"104942933\", alpha=\"0.10\", expect_size=\"31482880\"] \n  20 [size=\"108871680\", alpha=\"0.04\", expect_size=\"32661504\"] \n  21 [size=\"173875200\", alpha=\"0.05\", expect_size=\"52162560\"] \n  22 [size=\"47964160\", alpha=\"0.16\", expect_size=\"14389248\"] \n  23 [size=\"163328000\", alpha=\"0.01\", expect_size=\"48998400\"] \n  24 [size=\"168055467\", alpha=\"0.13\", expect_size=\"50416640\"] \n  25 [size=\"143520427\", alpha=\"0.00\", expect_size=\"43056128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49309013\", alpha=\"0.05\", expect_size=\"14792704\"] \n  1 -> 12 [size =\"14792704\"]\n  1 -> 13 [size =\"14792704\"]\n  2 [size=\"119132160\", alpha=\"0.19\", expect_size=\"35739648\"] \n  2 -> 13 [size =\"35739648\"]\n  3 [size=\"37157547\", alpha=\"0.12\", expect_size=\"11147264\"] \n  3 -> 8 [size =\"11147264\"]\n  3 -> 10 [size =\"11147264\"]\n  3 -> 11 [size =\"11147264\"]\n  3 -> 13 [size =\"11147264\"]\n  4 [size=\"26750293\", alpha=\"0.07\", expect_size=\"8025088\"] \n  4 -> 8 [size =\"8025088\"]\n  4 -> 10 [size =\"8025088\"]\n  4 -> 12 [size =\"8025088\"]\n  5 [size=\"163846827\", alpha=\"0.05\", expect_size=\"49154048\"] \n  5 -> 7 [size =\"49154048\"]\n  5 -> 8 [size =\"49154048\"]\n  5 -> 10 [size =\"49154048\"]\n  5 -> 12 [size =\"49154048\"]\n  6 [size=\"160689493\", alpha=\"0.01\", expect_size=\"48206848\"] \n  6 -> 8 [size =\"48206848\"]\n  6 -> 9 [size =\"48206848\"]\n  6 -> 11 [size =\"48206848\"]\n  6 -> 12 [size =\"48206848\"]\n  7 [size=\"19930453\", alpha=\"0.16\", expect_size=\"5979136\"] \n  7 -> 17 [size =\"5979136\"]\n  7 -> 18 [size =\"5979136\"]\n  7 -> 19 [size =\"5979136\"]\n  8 [size=\"90651307\", alpha=\"0.18\", expect_size=\"27195392\"] \n  8 -> 15 [size =\"27195392\"]\n  9 [size=\"126392320\", alpha=\"0.07\", expect_size=\"37917696\"] \n  9 -> 14 [size =\"37917696\"]\n  9 -> 15 [size =\"37917696\"]\n  9 -> 16 [size =\"37917696\"]\n  10 [size=\"142400853\", alpha=\"0.08\", expect_size=\"42720256\"] \n  10 -> 14 [size =\"42720256\"]\n  10 -> 15 [size =\"42720256\"]\n  10 -> 18 [size =\"42720256\"]\n  11 [size=\"51551573\", alpha=\"0.15\", expect_size=\"15465472\"] \n  11 -> 14 [size =\"15465472\"]\n  11 -> 15 [size =\"15465472\"]\n  11 -> 16 [size =\"15465472\"]\n  12 [size=\"91054080\", alpha=\"0.02\", expect_size=\"27316224\"] \n  12 -> 14 [size =\"27316224\"]\n  12 -> 18 [size =\"27316224\"]\n  12 -> 19 [size =\"27316224\"]\n  13 [size=\"84756480\", alpha=\"0.16\", expect_size=\"25426944\"] \n  13 -> 18 [size =\"25426944\"]\n  13 -> 19 [size =\"25426944\"]\n  13 -> 19 [size =\"25426944\"]\n  14 [size=\"23289173\", alpha=\"0.19\", expect_size=\"6986752\"] \n  15 [size=\"80933547\", alpha=\"0.15\", expect_size=\"24280064\"] \n  15 -> 20 [size =\"24280064\"]\n  15 -> 21 [size =\"24280064\"]\n  15 -> 22 [size =\"24280064\"]\n  15 -> 24 [size =\"24280064\"]\n  16 [size=\"121169920\", alpha=\"0.04\", expect_size=\"36350976\"] \n  16 -> 23 [size =\"36350976\"]\n  17 [size=\"125156693\", alpha=\"0.07\", expect_size=\"37547008\"] \n  17 -> 23 [size =\"37547008\"]\n  17 -> 24 [size =\"37547008\"]\n  18 [size=\"95078400\", alpha=\"0.12\", expect_size=\"28523520\"] \n  18 -> 21 [size =\"28523520\"]\n  18 -> 23 [size =\"28523520\"]\n  18 -> 24 [size =\"28523520\"]\n  18 -> 25 [size =\"28523520\"]\n  19 [size=\"81967787\", alpha=\"0.12\", expect_size=\"24590336\"] \n  19 -> 21 [size =\"24590336\"]\n  19 -> 24 [size =\"24590336\"]\n  20 [size=\"140574720\", alpha=\"0.16\", expect_size=\"42172416\"] \n  21 [size=\"43755520\", alpha=\"0.03\", expect_size=\"13126656\"] \n  22 [size=\"164990293\", alpha=\"0.04\", expect_size=\"49497088\"] \n  23 [size=\"23121920\", alpha=\"0.07\", expect_size=\"6936576\"] \n  24 [size=\"145896107\", alpha=\"0.11\", expect_size=\"43768832\"] \n  25 [size=\"141776213\", alpha=\"0.14\", expect_size=\"42532864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80635904\", alpha=\"0.13\", expect_size=\"40317952\"] \n  1 -> 5 [size =\"40317952\"]\n  1 -> 6 [size =\"40317952\"]\n  1 -> 7 [size =\"40317952\"]\n  1 -> 8 [size =\"40317952\"]\n  2 [size=\"24827904\", alpha=\"0.08\", expect_size=\"12413952\"] \n  2 -> 6 [size =\"12413952\"]\n  2 -> 7 [size =\"12413952\"]\n  2 -> 8 [size =\"12413952\"]\n  3 [size=\"26664960\", alpha=\"0.16\", expect_size=\"13332480\"] \n  3 -> 5 [size =\"13332480\"]\n  4 [size=\"39170048\", alpha=\"0.03\", expect_size=\"19585024\"] \n  4 -> 5 [size =\"19585024\"]\n  4 -> 7 [size =\"19585024\"]\n  5 [size=\"80865280\", alpha=\"0.03\", expect_size=\"40432640\"] \n  5 -> 9 [size =\"40432640\"]\n  5 -> 10 [size =\"40432640\"]\n  5 -> 12 [size =\"40432640\"]\n  6 [size=\"98668544\", alpha=\"0.06\", expect_size=\"49334272\"] \n  6 -> 11 [size =\"49334272\"]\n  7 [size=\"51912704\", alpha=\"0.07\", expect_size=\"25956352\"] \n  7 -> 9 [size =\"25956352\"]\n  8 [size=\"47759360\", alpha=\"0.13\", expect_size=\"23879680\"] \n  8 -> 9 [size =\"23879680\"]\n  8 -> 12 [size =\"23879680\"]\n  9 [size=\"30894080\", alpha=\"0.05\", expect_size=\"15447040\"] \n  9 -> 14 [size =\"15447040\"]\n  9 -> 15 [size =\"15447040\"]\n  10 [size=\"37124096\", alpha=\"0.02\", expect_size=\"18562048\"] \n  11 [size=\"82178048\", alpha=\"0.01\", expect_size=\"41089024\"] \n  11 -> 13 [size =\"41089024\"]\n  11 -> 15 [size =\"41089024\"]\n  12 [size=\"47693824\", alpha=\"0.11\", expect_size=\"23846912\"] \n  12 -> 14 [size =\"23846912\"]\n  13 [size=\"87187456\", alpha=\"0.15\", expect_size=\"43593728\"] \n  14 [size=\"67766272\", alpha=\"0.12\", expect_size=\"33883136\"] \n  14 -> 17 [size =\"33883136\"]\n  14 -> 18 [size =\"33883136\"]\n  14 -> 19 [size =\"33883136\"]\n  15 [size=\"82202624\", alpha=\"0.13\", expect_size=\"41101312\"] \n  15 -> 16 [size =\"41101312\"]\n  15 -> 18 [size =\"41101312\"]\n  15 -> 19 [size =\"41101312\"]\n  16 [size=\"96112640\", alpha=\"0.12\", expect_size=\"48056320\"] \n  16 -> 20 [size =\"48056320\"]\n  16 -> 21 [size =\"48056320\"]\n  16 -> 22 [size =\"48056320\"]\n  17 [size=\"28649472\", alpha=\"0.06\", expect_size=\"14324736\"] \n  17 -> 22 [size =\"14324736\"]\n  17 -> 23 [size =\"14324736\"]\n  18 [size=\"59717632\", alpha=\"0.09\", expect_size=\"29858816\"] \n  18 -> 23 [size =\"29858816\"]\n  19 [size=\"24950784\", alpha=\"0.03\", expect_size=\"12475392\"] \n  19 -> 22 [size =\"12475392\"]\n  20 [size=\"49043456\", alpha=\"0.08\", expect_size=\"24521728\"] \n  20 -> 24 [size =\"24521728\"]\n  20 -> 25 [size =\"24521728\"]\n  21 [size=\"57661440\", alpha=\"0.08\", expect_size=\"28830720\"] \n  21 -> 24 [size =\"28830720\"]\n  21 -> 25 [size =\"28830720\"]\n  22 [size=\"61366272\", alpha=\"0.11\", expect_size=\"30683136\"] \n  22 -> 25 [size =\"30683136\"]\n  23 [size=\"19593216\", alpha=\"0.17\", expect_size=\"9796608\"] \n  24 [size=\"90177536\", alpha=\"0.09\", expect_size=\"45088768\"] \n  25 [size=\"51146752\", alpha=\"0.17\", expect_size=\"25573376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99066880\", alpha=\"0.19\", expect_size=\"39626752\"] \n  1 -> 18 [size =\"39626752\"]\n  1 -> 19 [size =\"39626752\"]\n  1 -> 23 [size =\"39626752\"]\n  2 [size=\"45811200\", alpha=\"0.07\", expect_size=\"18324480\"] \n  2 -> 19 [size =\"18324480\"]\n  2 -> 20 [size =\"18324480\"]\n  2 -> 23 [size =\"18324480\"]\n  2 -> 24 [size =\"18324480\"]\n  3 [size=\"78973440\", alpha=\"0.03\", expect_size=\"31589376\"] \n  3 -> 17 [size =\"31589376\"]\n  3 -> 20 [size =\"31589376\"]\n  3 -> 23 [size =\"31589376\"]\n  3 -> 24 [size =\"31589376\"]\n  4 [size=\"112337920\", alpha=\"0.06\", expect_size=\"44935168\"] \n  4 -> 17 [size =\"44935168\"]\n  4 -> 20 [size =\"44935168\"]\n  4 -> 23 [size =\"44935168\"]\n  4 -> 25 [size =\"44935168\"]\n  5 [size=\"33505280\", alpha=\"0.13\", expect_size=\"13402112\"] \n  5 -> 17 [size =\"13402112\"]\n  5 -> 20 [size =\"13402112\"]\n  5 -> 21 [size =\"13402112\"]\n  5 -> 24 [size =\"13402112\"]\n  5 -> 25 [size =\"13402112\"]\n  6 [size=\"115264000\", alpha=\"0.11\", expect_size=\"46105600\"] \n  6 -> 17 [size =\"46105600\"]\n  6 -> 18 [size =\"46105600\"]\n  6 -> 21 [size =\"46105600\"]\n  6 -> 23 [size =\"46105600\"]\n  7 [size=\"40217600\", alpha=\"0.07\", expect_size=\"16087040\"] \n  7 -> 17 [size =\"16087040\"]\n  7 -> 18 [size =\"16087040\"]\n  7 -> 21 [size =\"16087040\"]\n  7 -> 25 [size =\"16087040\"]\n  8 [size=\"32798720\", alpha=\"0.08\", expect_size=\"13119488\"] \n  8 -> 17 [size =\"13119488\"]\n  8 -> 18 [size =\"13119488\"]\n  8 -> 19 [size =\"13119488\"]\n  8 -> 21 [size =\"13119488\"]\n  8 -> 22 [size =\"13119488\"]\n  8 -> 23 [size =\"13119488\"]\n  8 -> 24 [size =\"13119488\"]\n  9 [size=\"87383040\", alpha=\"0.12\", expect_size=\"34953216\"] \n  9 -> 17 [size =\"34953216\"]\n  9 -> 18 [size =\"34953216\"]\n  9 -> 19 [size =\"34953216\"]\n  9 -> 22 [size =\"34953216\"]\n  9 -> 23 [size =\"34953216\"]\n  10 [size=\"104878080\", alpha=\"0.12\", expect_size=\"41951232\"] \n  10 -> 17 [size =\"41951232\"]\n  10 -> 18 [size =\"41951232\"]\n  10 -> 19 [size =\"41951232\"]\n  10 -> 21 [size =\"41951232\"]\n  10 -> 22 [size =\"41951232\"]\n  10 -> 23 [size =\"41951232\"]\n  10 -> 25 [size =\"41951232\"]\n  11 [size=\"87057920\", alpha=\"0.07\", expect_size=\"34823168\"] \n  11 -> 18 [size =\"34823168\"]\n  11 -> 19 [size =\"34823168\"]\n  11 -> 23 [size =\"34823168\"]\n  11 -> 24 [size =\"34823168\"]\n  11 -> 25 [size =\"34823168\"]\n  12 [size=\"80565760\", alpha=\"0.11\", expect_size=\"32226304\"] \n  12 -> 18 [size =\"32226304\"]\n  12 -> 19 [size =\"32226304\"]\n  12 -> 22 [size =\"32226304\"]\n  12 -> 23 [size =\"32226304\"]\n  12 -> 24 [size =\"32226304\"]\n  12 -> 25 [size =\"32226304\"]\n  13 [size=\"119953920\", alpha=\"0.17\", expect_size=\"47981568\"] \n  13 -> 18 [size =\"47981568\"]\n  13 -> 22 [size =\"47981568\"]\n  13 -> 22 [size =\"47981568\"]\n  13 -> 25 [size =\"47981568\"]\n  14 [size=\"22241280\", alpha=\"0.01\", expect_size=\"8896512\"] \n  14 -> 18 [size =\"8896512\"]\n  14 -> 21 [size =\"8896512\"]\n  14 -> 25 [size =\"8896512\"]\n  14 -> 25 [size =\"8896512\"]\n  15 [size=\"54814720\", alpha=\"0.06\", expect_size=\"21925888\"] \n  15 -> 17 [size =\"21925888\"]\n  15 -> 18 [size =\"21925888\"]\n  15 -> 21 [size =\"21925888\"]\n  15 -> 23 [size =\"21925888\"]\n  15 -> 24 [size =\"21925888\"]\n  15 -> 25 [size =\"21925888\"]\n  16 [size=\"15744000\", alpha=\"0.06\", expect_size=\"6297600\"] \n  16 -> 17 [size =\"6297600\"]\n  16 -> 18 [size =\"6297600\"]\n  16 -> 21 [size =\"6297600\"]\n  17 [size=\"83174400\", alpha=\"0.11\", expect_size=\"33269760\"] \n  18 [size=\"123627520\", alpha=\"0.16\", expect_size=\"49451008\"] \n  19 [size=\"53002240\", alpha=\"0.01\", expect_size=\"21200896\"] \n  20 [size=\"121973760\", alpha=\"0.18\", expect_size=\"48789504\"] \n  21 [size=\"77593600\", alpha=\"0.10\", expect_size=\"31037440\"] \n  22 [size=\"116661760\", alpha=\"0.07\", expect_size=\"46664704\"] \n  23 [size=\"61452800\", alpha=\"0.16\", expect_size=\"24581120\"] \n  24 [size=\"42270720\", alpha=\"0.02\", expect_size=\"16908288\"] \n  25 [size=\"49364480\", alpha=\"0.10\", expect_size=\"19745792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47921152\", alpha=\"0.17\", expect_size=\"23960576\"] \n  1 -> 3 [size =\"23960576\"]\n  2 [size=\"81287168\", alpha=\"0.04\", expect_size=\"40643584\"] \n  2 -> 3 [size =\"40643584\"]\n  3 [size=\"44644352\", alpha=\"0.12\", expect_size=\"22322176\"] \n  3 -> 4 [size =\"22322176\"]\n  4 [size=\"36182016\", alpha=\"0.12\", expect_size=\"18091008\"] \n  4 -> 5 [size =\"18091008\"]\n  4 -> 6 [size =\"18091008\"]\n  5 [size=\"13195264\", alpha=\"0.19\", expect_size=\"6597632\"] \n  6 [size=\"93261824\", alpha=\"0.03\", expect_size=\"46630912\"] \n  6 -> 7 [size =\"46630912\"]\n  6 -> 8 [size =\"46630912\"]\n  7 [size=\"86073344\", alpha=\"0.07\", expect_size=\"43036672\"] \n  8 [size=\"36626432\", alpha=\"0.10\", expect_size=\"18313216\"] \n  8 -> 9 [size =\"18313216\"]\n  9 [size=\"39176192\", alpha=\"0.13\", expect_size=\"19588096\"] \n  9 -> 10 [size =\"19588096\"]\n  9 -> 11 [size =\"19588096\"]\n  10 [size=\"52072448\", alpha=\"0.11\", expect_size=\"26036224\"] \n  10 -> 12 [size =\"26036224\"]\n  11 [size=\"45520896\", alpha=\"0.19\", expect_size=\"22760448\"] \n  11 -> 12 [size =\"22760448\"]\n  12 [size=\"33249280\", alpha=\"0.17\", expect_size=\"16624640\"] \n  12 -> 13 [size =\"16624640\"]\n  13 [size=\"53080064\", alpha=\"0.18\", expect_size=\"26540032\"] \n  13 -> 14 [size =\"26540032\"]\n  14 [size=\"17115136\", alpha=\"0.16\", expect_size=\"8557568\"] \n  14 -> 15 [size =\"8557568\"]\n  15 [size=\"74164224\", alpha=\"0.18\", expect_size=\"37082112\"] \n  15 -> 16 [size =\"37082112\"]\n  16 [size=\"68493312\", alpha=\"0.16\", expect_size=\"34246656\"] \n  16 -> 17 [size =\"34246656\"]\n  17 [size=\"83640320\", alpha=\"0.02\", expect_size=\"41820160\"] \n  17 -> 18 [size =\"41820160\"]\n  18 [size=\"20584448\", alpha=\"0.13\", expect_size=\"10292224\"] \n  18 -> 19 [size =\"10292224\"]\n  19 [size=\"67690496\", alpha=\"0.11\", expect_size=\"33845248\"] \n  19 -> 20 [size =\"33845248\"]\n  20 [size=\"35414016\", alpha=\"0.09\", expect_size=\"17707008\"] \n  20 -> 21 [size =\"17707008\"]\n  21 [size=\"87853056\", alpha=\"0.16\", expect_size=\"43926528\"] \n  21 -> 22 [size =\"43926528\"]\n  21 -> 23 [size =\"43926528\"]\n  22 [size=\"81606656\", alpha=\"0.17\", expect_size=\"40803328\"] \n  22 -> 24 [size =\"40803328\"]\n  22 -> 25 [size =\"40803328\"]\n  23 [size=\"67178496\", alpha=\"0.06\", expect_size=\"33589248\"] \n  24 [size=\"57833472\", alpha=\"0.00\", expect_size=\"28916736\"] \n  25 [size=\"40083456\", alpha=\"0.15\", expect_size=\"20041728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40687616\", alpha=\"0.00\", expect_size=\"20343808\"] \n  1 -> 2 [size =\"20343808\"]\n  2 [size=\"53575680\", alpha=\"0.07\", expect_size=\"26787840\"] \n  2 -> 3 [size =\"26787840\"]\n  3 [size=\"51007488\", alpha=\"0.05\", expect_size=\"25503744\"] \n  3 -> 4 [size =\"25503744\"]\n  4 [size=\"97067008\", alpha=\"0.19\", expect_size=\"48533504\"] \n  4 -> 5 [size =\"48533504\"]\n  5 [size=\"63576064\", alpha=\"0.14\", expect_size=\"31788032\"] \n  5 -> 6 [size =\"31788032\"]\n  6 [size=\"30013440\", alpha=\"0.14\", expect_size=\"15006720\"] \n  6 -> 7 [size =\"15006720\"]\n  7 [size=\"13807616\", alpha=\"0.17\", expect_size=\"6903808\"] \n  7 -> 8 [size =\"6903808\"]\n  8 [size=\"66103296\", alpha=\"0.05\", expect_size=\"33051648\"] \n  8 -> 9 [size =\"33051648\"]\n  9 [size=\"48627712\", alpha=\"0.06\", expect_size=\"24313856\"] \n  9 -> 10 [size =\"24313856\"]\n  10 [size=\"93517824\", alpha=\"0.19\", expect_size=\"46758912\"] \n  10 -> 11 [size =\"46758912\"]\n  11 [size=\"61986816\", alpha=\"0.18\", expect_size=\"30993408\"] \n  11 -> 12 [size =\"30993408\"]\n  12 [size=\"62515200\", alpha=\"0.19\", expect_size=\"31257600\"] \n  12 -> 13 [size =\"31257600\"]\n  13 [size=\"93771776\", alpha=\"0.10\", expect_size=\"46885888\"] \n  13 -> 14 [size =\"46885888\"]\n  14 [size=\"24936448\", alpha=\"0.14\", expect_size=\"12468224\"] \n  14 -> 15 [size =\"12468224\"]\n  15 [size=\"18456576\", alpha=\"0.09\", expect_size=\"9228288\"] \n  15 -> 16 [size =\"9228288\"]\n  16 [size=\"85639168\", alpha=\"0.07\", expect_size=\"42819584\"] \n  16 -> 17 [size =\"42819584\"]\n  17 [size=\"57423872\", alpha=\"0.06\", expect_size=\"28711936\"] \n  17 -> 18 [size =\"28711936\"]\n  18 [size=\"42403840\", alpha=\"0.12\", expect_size=\"21201920\"] \n  18 -> 19 [size =\"21201920\"]\n  19 [size=\"67366912\", alpha=\"0.03\", expect_size=\"33683456\"] \n  19 -> 20 [size =\"33683456\"]\n  20 [size=\"94224384\", alpha=\"0.07\", expect_size=\"47112192\"] \n  20 -> 21 [size =\"47112192\"]\n  21 [size=\"88283136\", alpha=\"0.18\", expect_size=\"44141568\"] \n  21 -> 22 [size =\"44141568\"]\n  22 [size=\"79509504\", alpha=\"0.17\", expect_size=\"39754752\"] \n  22 -> 23 [size =\"39754752\"]\n  23 [size=\"74027008\", alpha=\"0.05\", expect_size=\"37013504\"] \n  23 -> 24 [size =\"37013504\"]\n  24 [size=\"24801280\", alpha=\"0.12\", expect_size=\"12400640\"] \n  24 -> 25 [size =\"12400640\"]\n  25 [size=\"90515456\", alpha=\"0.09\", expect_size=\"45257728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36108288\", alpha=\"0.08\", expect_size=\"18054144\"] \n  1 -> 2 [size =\"18054144\"]\n  2 [size=\"70191104\", alpha=\"0.01\", expect_size=\"35095552\"] \n  2 -> 3 [size =\"35095552\"]\n  3 [size=\"87865344\", alpha=\"0.02\", expect_size=\"43932672\"] \n  3 -> 4 [size =\"43932672\"]\n  4 [size=\"99717120\", alpha=\"0.14\", expect_size=\"49858560\"] \n  4 -> 5 [size =\"49858560\"]\n  5 [size=\"86880256\", alpha=\"0.02\", expect_size=\"43440128\"] \n  5 -> 6 [size =\"43440128\"]\n  6 [size=\"68947968\", alpha=\"0.08\", expect_size=\"34473984\"] \n  6 -> 7 [size =\"34473984\"]\n  7 [size=\"33712128\", alpha=\"0.10\", expect_size=\"16856064\"] \n  7 -> 8 [size =\"16856064\"]\n  8 [size=\"77924352\", alpha=\"0.20\", expect_size=\"38962176\"] \n  8 -> 9 [size =\"38962176\"]\n  9 [size=\"49211392\", alpha=\"0.03\", expect_size=\"24605696\"] \n  9 -> 10 [size =\"24605696\"]\n  10 [size=\"103757824\", alpha=\"0.11\", expect_size=\"51878912\"] \n  10 -> 11 [size =\"51878912\"]\n  11 [size=\"67727360\", alpha=\"0.08\", expect_size=\"33863680\"] \n  11 -> 12 [size =\"33863680\"]\n  12 [size=\"104435712\", alpha=\"0.12\", expect_size=\"52217856\"] \n  12 -> 13 [size =\"52217856\"]\n  13 [size=\"15239168\", alpha=\"0.11\", expect_size=\"7619584\"] \n  13 -> 14 [size =\"7619584\"]\n  14 [size=\"24547328\", alpha=\"0.12\", expect_size=\"12273664\"] \n  14 -> 15 [size =\"12273664\"]\n  15 [size=\"90615808\", alpha=\"0.05\", expect_size=\"45307904\"] \n  15 -> 16 [size =\"45307904\"]\n  16 [size=\"99174400\", alpha=\"0.02\", expect_size=\"49587200\"] \n  16 -> 17 [size =\"49587200\"]\n  17 [size=\"42799104\", alpha=\"0.11\", expect_size=\"21399552\"] \n  17 -> 18 [size =\"21399552\"]\n  18 [size=\"92309504\", alpha=\"0.15\", expect_size=\"46154752\"] \n  18 -> 19 [size =\"46154752\"]\n  19 [size=\"90021888\", alpha=\"0.10\", expect_size=\"45010944\"] \n  19 -> 20 [size =\"45010944\"]\n  20 [size=\"103170048\", alpha=\"0.16\", expect_size=\"51585024\"] \n  20 -> 21 [size =\"51585024\"]\n  21 [size=\"59058176\", alpha=\"0.08\", expect_size=\"29529088\"] \n  21 -> 22 [size =\"29529088\"]\n  22 [size=\"98723840\", alpha=\"0.12\", expect_size=\"49361920\"] \n  22 -> 23 [size =\"49361920\"]\n  23 [size=\"59146240\", alpha=\"0.12\", expect_size=\"29573120\"] \n  23 -> 24 [size =\"29573120\"]\n  24 [size=\"18368512\", alpha=\"0.12\", expect_size=\"9184256\"] \n  24 -> 25 [size =\"9184256\"]\n  25 [size=\"75341824\", alpha=\"0.07\", expect_size=\"37670912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95088640\", alpha=\"0.10\", expect_size=\"38035456\"] \n  1 -> 7 [size =\"38035456\"]\n  2 [size=\"42411520\", alpha=\"0.19\", expect_size=\"16964608\"] \n  2 -> 4 [size =\"16964608\"]\n  2 -> 5 [size =\"16964608\"]\n  2 -> 6 [size =\"16964608\"]\n  2 -> 7 [size =\"16964608\"]\n  3 [size=\"94676480\", alpha=\"0.08\", expect_size=\"37870592\"] \n  3 -> 4 [size =\"37870592\"]\n  4 [size=\"86597120\", alpha=\"0.02\", expect_size=\"34638848\"] \n  4 -> 8 [size =\"34638848\"]\n  4 -> 11 [size =\"34638848\"]\n  5 [size=\"115494400\", alpha=\"0.04\", expect_size=\"46197760\"] \n  5 -> 8 [size =\"46197760\"]\n  5 -> 9 [size =\"46197760\"]\n  5 -> 11 [size =\"46197760\"]\n  6 [size=\"68239360\", alpha=\"0.12\", expect_size=\"27295744\"] \n  6 -> 9 [size =\"27295744\"]\n  6 -> 10 [size =\"27295744\"]\n  6 -> 11 [size =\"27295744\"]\n  7 [size=\"100160000\", alpha=\"0.06\", expect_size=\"40064000\"] \n  7 -> 8 [size =\"40064000\"]\n  7 -> 10 [size =\"40064000\"]\n  8 [size=\"110712320\", alpha=\"0.16\", expect_size=\"44284928\"] \n  8 -> 12 [size =\"44284928\"]\n  8 -> 13 [size =\"44284928\"]\n  9 [size=\"40665600\", alpha=\"0.09\", expect_size=\"16266240\"] \n  9 -> 12 [size =\"16266240\"]\n  9 -> 15 [size =\"16266240\"]\n  10 [size=\"13342720\", alpha=\"0.20\", expect_size=\"5337088\"] \n  10 -> 13 [size =\"5337088\"]\n  10 -> 14 [size =\"5337088\"]\n  11 [size=\"23846400\", alpha=\"0.20\", expect_size=\"9538560\"] \n  11 -> 13 [size =\"9538560\"]\n  12 [size=\"80811520\", alpha=\"0.13\", expect_size=\"32324608\"] \n  12 -> 18 [size =\"32324608\"]\n  13 [size=\"72954880\", alpha=\"0.05\", expect_size=\"29181952\"] \n  13 -> 18 [size =\"29181952\"]\n  14 [size=\"119270400\", alpha=\"0.14\", expect_size=\"47708160\"] \n  14 -> 16 [size =\"47708160\"]\n  14 -> 17 [size =\"47708160\"]\n  14 -> 18 [size =\"47708160\"]\n  15 [size=\"129635840\", alpha=\"0.11\", expect_size=\"51854336\"] \n  15 -> 17 [size =\"51854336\"]\n  16 [size=\"34444800\", alpha=\"0.03\", expect_size=\"13777920\"] \n  16 -> 19 [size =\"13777920\"]\n  16 -> 21 [size =\"13777920\"]\n  16 -> 22 [size =\"13777920\"]\n  17 [size=\"103454720\", alpha=\"0.20\", expect_size=\"41381888\"] \n  17 -> 21 [size =\"41381888\"]\n  18 [size=\"19543040\", alpha=\"0.16\", expect_size=\"7817216\"] \n  18 -> 19 [size =\"7817216\"]\n  18 -> 20 [size =\"7817216\"]\n  18 -> 21 [size =\"7817216\"]\n  18 -> 22 [size =\"7817216\"]\n  19 [size=\"113530880\", alpha=\"0.04\", expect_size=\"45412352\"] \n  19 -> 24 [size =\"45412352\"]\n  20 [size=\"48309760\", alpha=\"0.02\", expect_size=\"19323904\"] \n  20 -> 25 [size =\"19323904\"]\n  21 [size=\"47316480\", alpha=\"0.13\", expect_size=\"18926592\"] \n  21 -> 24 [size =\"18926592\"]\n  21 -> 25 [size =\"18926592\"]\n  22 [size=\"46696960\", alpha=\"0.09\", expect_size=\"18678784\"] \n  22 -> 23 [size =\"18678784\"]\n  23 [size=\"121282560\", alpha=\"0.19\", expect_size=\"48513024\"] \n  24 [size=\"31572480\", alpha=\"0.02\", expect_size=\"12628992\"] \n  25 [size=\"116689920\", alpha=\"0.01\", expect_size=\"46675968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36787200\", alpha=\"0.04\", expect_size=\"14714880\"] \n  1 -> 2 [size =\"14714880\"]\n  2 [size=\"74129920\", alpha=\"0.01\", expect_size=\"29651968\"] \n  2 -> 3 [size =\"29651968\"]\n  3 [size=\"29729280\", alpha=\"0.16\", expect_size=\"11891712\"] \n  3 -> 4 [size =\"11891712\"]\n  4 [size=\"19036160\", alpha=\"0.05\", expect_size=\"7614464\"] \n  4 -> 5 [size =\"7614464\"]\n  5 [size=\"55831040\", alpha=\"0.18\", expect_size=\"22332416\"] \n  5 -> 6 [size =\"22332416\"]\n  6 [size=\"73902080\", alpha=\"0.17\", expect_size=\"29560832\"] \n  6 -> 7 [size =\"29560832\"]\n  7 [size=\"42890240\", alpha=\"0.09\", expect_size=\"17156096\"] \n  7 -> 8 [size =\"17156096\"]\n  8 [size=\"20846080\", alpha=\"0.19\", expect_size=\"8338432\"] \n  8 -> 9 [size =\"8338432\"]\n  9 [size=\"17991680\", alpha=\"0.18\", expect_size=\"7196672\"] \n  9 -> 10 [size =\"7196672\"]\n  10 [size=\"53772800\", alpha=\"0.16\", expect_size=\"21509120\"] \n  10 -> 11 [size =\"21509120\"]\n  11 [size=\"118223360\", alpha=\"0.11\", expect_size=\"47289344\"] \n  11 -> 12 [size =\"47289344\"]\n  12 [size=\"21757440\", alpha=\"0.09\", expect_size=\"8702976\"] \n  12 -> 13 [size =\"8702976\"]\n  13 [size=\"25512960\", alpha=\"0.17\", expect_size=\"10205184\"] \n  13 -> 14 [size =\"10205184\"]\n  14 [size=\"118471680\", alpha=\"0.01\", expect_size=\"47388672\"] \n  14 -> 15 [size =\"47388672\"]\n  15 [size=\"32929280\", alpha=\"0.11\", expect_size=\"13171712\"] \n  15 -> 16 [size =\"13171712\"]\n  16 [size=\"19937280\", alpha=\"0.16\", expect_size=\"7974912\"] \n  16 -> 17 [size =\"7974912\"]\n  17 [size=\"120483840\", alpha=\"0.07\", expect_size=\"48193536\"] \n  17 -> 18 [size =\"48193536\"]\n  18 [size=\"54932480\", alpha=\"0.17\", expect_size=\"21972992\"] \n  18 -> 19 [size =\"21972992\"]\n  19 [size=\"49832960\", alpha=\"0.02\", expect_size=\"19933184\"] \n  19 -> 20 [size =\"19933184\"]\n  20 [size=\"39805440\", alpha=\"0.04\", expect_size=\"15922176\"] \n  20 -> 21 [size =\"15922176\"]\n  21 [size=\"16099840\", alpha=\"0.10\", expect_size=\"6439936\"] \n  21 -> 22 [size =\"6439936\"]\n  22 [size=\"79055360\", alpha=\"0.07\", expect_size=\"31622144\"] \n  22 -> 23 [size =\"31622144\"]\n  23 [size=\"15221760\", alpha=\"0.06\", expect_size=\"6088704\"] \n  23 -> 24 [size =\"6088704\"]\n  24 [size=\"117337600\", alpha=\"0.07\", expect_size=\"46935040\"] \n  24 -> 25 [size =\"46935040\"]\n  25 [size=\"124387840\", alpha=\"0.14\", expect_size=\"49755136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122627413\", alpha=\"0.09\", expect_size=\"36788224\"] \n  1 -> 6 [size =\"36788224\"]\n  2 [size=\"131498667\", alpha=\"0.11\", expect_size=\"39449600\"] \n  2 -> 6 [size =\"39449600\"]\n  3 [size=\"35942400\", alpha=\"0.11\", expect_size=\"10782720\"] \n  3 -> 5 [size =\"10782720\"]\n  4 [size=\"106639360\", alpha=\"0.04\", expect_size=\"31991808\"] \n  4 -> 5 [size =\"31991808\"]\n  4 -> 6 [size =\"31991808\"]\n  5 [size=\"23210667\", alpha=\"0.16\", expect_size=\"6963200\"] \n  5 -> 7 [size =\"6963200\"]\n  5 -> 8 [size =\"6963200\"]\n  6 [size=\"29085013\", alpha=\"0.06\", expect_size=\"8725504\"] \n  6 -> 7 [size =\"8725504\"]\n  6 -> 8 [size =\"8725504\"]\n  7 [size=\"81800533\", alpha=\"0.16\", expect_size=\"24540160\"] \n  7 -> 9 [size =\"24540160\"]\n  7 -> 10 [size =\"24540160\"]\n  7 -> 11 [size =\"24540160\"]\n  8 [size=\"151794347\", alpha=\"0.18\", expect_size=\"45538304\"] \n  8 -> 9 [size =\"45538304\"]\n  8 -> 10 [size =\"45538304\"]\n  8 -> 11 [size =\"45538304\"]\n  9 [size=\"26787840\", alpha=\"0.03\", expect_size=\"8036352\"] \n  9 -> 12 [size =\"8036352\"]\n  9 -> 13 [size =\"8036352\"]\n  10 [size=\"80933547\", alpha=\"0.02\", expect_size=\"24280064\"] \n  11 [size=\"79353173\", alpha=\"0.04\", expect_size=\"23805952\"] \n  12 [size=\"148527787\", alpha=\"0.06\", expect_size=\"44558336\"] \n  12 -> 14 [size =\"44558336\"]\n  12 -> 15 [size =\"44558336\"]\n  12 -> 16 [size =\"44558336\"]\n  13 [size=\"77370027\", alpha=\"0.02\", expect_size=\"23211008\"] \n  13 -> 15 [size =\"23211008\"]\n  13 -> 16 [size =\"23211008\"]\n  14 [size=\"165447680\", alpha=\"0.07\", expect_size=\"49634304\"] \n  14 -> 17 [size =\"49634304\"]\n  15 [size=\"38768640\", alpha=\"0.08\", expect_size=\"11630592\"] \n  15 -> 17 [size =\"11630592\"]\n  15 -> 18 [size =\"11630592\"]\n  16 [size=\"164877653\", alpha=\"0.03\", expect_size=\"49463296\"] \n  16 -> 18 [size =\"49463296\"]\n  17 [size=\"51285333\", alpha=\"0.08\", expect_size=\"15385600\"] \n  17 -> 19 [size =\"15385600\"]\n  17 -> 22 [size =\"15385600\"]\n  17 -> 23 [size =\"15385600\"]\n  18 [size=\"22961493\", alpha=\"0.04\", expect_size=\"6888448\"] \n  18 -> 20 [size =\"6888448\"]\n  18 -> 21 [size =\"6888448\"]\n  18 -> 22 [size =\"6888448\"]\n  19 [size=\"164870827\", alpha=\"0.06\", expect_size=\"49461248\"] \n  19 -> 24 [size =\"49461248\"]\n  19 -> 25 [size =\"49461248\"]\n  20 [size=\"29573120\", alpha=\"0.09\", expect_size=\"8871936\"] \n  20 -> 24 [size =\"8871936\"]\n  21 [size=\"48104107\", alpha=\"0.05\", expect_size=\"14431232\"] \n  21 -> 25 [size =\"14431232\"]\n  22 [size=\"76369920\", alpha=\"0.15\", expect_size=\"22910976\"] \n  22 -> 24 [size =\"22910976\"]\n  23 [size=\"126218240\", alpha=\"0.08\", expect_size=\"37865472\"] \n  23 -> 24 [size =\"37865472\"]\n  24 [size=\"143940267\", alpha=\"0.12\", expect_size=\"43182080\"] \n  25 [size=\"37976747\", alpha=\"0.17\", expect_size=\"11393024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123815253\", alpha=\"0.02\", expect_size=\"37144576\"] \n  1 -> 2 [size =\"37144576\"]\n  2 [size=\"131160747\", alpha=\"0.16\", expect_size=\"39348224\"] \n  2 -> 3 [size =\"39348224\"]\n  3 [size=\"28125867\", alpha=\"0.13\", expect_size=\"8437760\"] \n  3 -> 4 [size =\"8437760\"]\n  4 [size=\"36799147\", alpha=\"0.02\", expect_size=\"11039744\"] \n  4 -> 5 [size =\"11039744\"]\n  5 [size=\"43226453\", alpha=\"0.17\", expect_size=\"12967936\"] \n  5 -> 6 [size =\"12967936\"]\n  6 [size=\"95286613\", alpha=\"0.03\", expect_size=\"28585984\"] \n  6 -> 7 [size =\"28585984\"]\n  7 [size=\"103164587\", alpha=\"0.14\", expect_size=\"30949376\"] \n  7 -> 8 [size =\"30949376\"]\n  8 [size=\"141711360\", alpha=\"0.05\", expect_size=\"42513408\"] \n  8 -> 9 [size =\"42513408\"]\n  9 [size=\"122484053\", alpha=\"0.08\", expect_size=\"36745216\"] \n  9 -> 10 [size =\"36745216\"]\n  10 [size=\"111578453\", alpha=\"0.01\", expect_size=\"33473536\"] \n  10 -> 11 [size =\"33473536\"]\n  11 [size=\"37399893\", alpha=\"0.04\", expect_size=\"11219968\"] \n  11 -> 12 [size =\"11219968\"]\n  12 [size=\"53251413\", alpha=\"0.16\", expect_size=\"15975424\"] \n  12 -> 13 [size =\"15975424\"]\n  13 [size=\"21306027\", alpha=\"0.14\", expect_size=\"6391808\"] \n  13 -> 14 [size =\"6391808\"]\n  14 [size=\"125863253\", alpha=\"0.05\", expect_size=\"37758976\"] \n  14 -> 15 [size =\"37758976\"]\n  15 [size=\"141704533\", alpha=\"0.03\", expect_size=\"42511360\"] \n  15 -> 16 [size =\"42511360\"]\n  16 [size=\"115828053\", alpha=\"0.18\", expect_size=\"34748416\"] \n  16 -> 17 [size =\"34748416\"]\n  17 [size=\"136584533\", alpha=\"0.10\", expect_size=\"40975360\"] \n  17 -> 18 [size =\"40975360\"]\n  18 [size=\"92388693\", alpha=\"0.00\", expect_size=\"27716608\"] \n  18 -> 19 [size =\"27716608\"]\n  19 [size=\"135454720\", alpha=\"0.01\", expect_size=\"40636416\"] \n  19 -> 20 [size =\"40636416\"]\n  20 [size=\"39942827\", alpha=\"0.07\", expect_size=\"11982848\"] \n  20 -> 21 [size =\"11982848\"]\n  21 [size=\"45851307\", alpha=\"0.07\", expect_size=\"13755392\"] \n  21 -> 22 [size =\"13755392\"]\n  22 [size=\"79380480\", alpha=\"0.02\", expect_size=\"23814144\"] \n  22 -> 23 [size =\"23814144\"]\n  23 [size=\"46493013\", alpha=\"0.17\", expect_size=\"13947904\"] \n  23 -> 24 [size =\"13947904\"]\n  24 [size=\"153487360\", alpha=\"0.16\", expect_size=\"46046208\"] \n  24 -> 25 [size =\"46046208\"]\n  25 [size=\"32324267\", alpha=\"0.17\", expect_size=\"9697280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59764736\", alpha=\"0.05\", expect_size=\"29882368\"] \n  1 -> 9 [size =\"29882368\"]\n  1 -> 10 [size =\"29882368\"]\n  1 -> 13 [size =\"29882368\"]\n  1 -> 15 [size =\"29882368\"]\n  1 -> 16 [size =\"29882368\"]\n  2 [size=\"101564416\", alpha=\"0.10\", expect_size=\"50782208\"] \n  2 -> 9 [size =\"50782208\"]\n  2 -> 10 [size =\"50782208\"]\n  2 -> 13 [size =\"50782208\"]\n  2 -> 16 [size =\"50782208\"]\n  3 [size=\"39286784\", alpha=\"0.17\", expect_size=\"19643392\"] \n  3 -> 10 [size =\"19643392\"]\n  3 -> 10 [size =\"19643392\"]\n  3 -> 11 [size =\"19643392\"]\n  3 -> 13 [size =\"19643392\"]\n  4 [size=\"10680320\", alpha=\"0.13\", expect_size=\"5340160\"] \n  4 -> 12 [size =\"5340160\"]\n  4 -> 13 [size =\"5340160\"]\n  4 -> 14 [size =\"5340160\"]\n  4 -> 16 [size =\"5340160\"]\n  5 [size=\"30545920\", alpha=\"0.05\", expect_size=\"15272960\"] \n  5 -> 13 [size =\"15272960\"]\n  6 [size=\"42475520\", alpha=\"0.10\", expect_size=\"21237760\"] \n  6 -> 9 [size =\"21237760\"]\n  6 -> 12 [size =\"21237760\"]\n  6 -> 15 [size =\"21237760\"]\n  7 [size=\"27873280\", alpha=\"0.19\", expect_size=\"13936640\"] \n  7 -> 9 [size =\"13936640\"]\n  7 -> 15 [size =\"13936640\"]\n  8 [size=\"68409344\", alpha=\"0.09\", expect_size=\"34204672\"] \n  8 -> 9 [size =\"34204672\"]\n  8 -> 13 [size =\"34204672\"]\n  8 -> 15 [size =\"34204672\"]\n  9 [size=\"93771776\", alpha=\"0.10\", expect_size=\"46885888\"] \n  9 -> 18 [size =\"46885888\"]\n  9 -> 19 [size =\"46885888\"]\n  9 -> 21 [size =\"46885888\"]\n  9 -> 22 [size =\"46885888\"]\n  9 -> 24 [size =\"46885888\"]\n  10 [size=\"99080192\", alpha=\"0.19\", expect_size=\"49540096\"] \n  10 -> 17 [size =\"49540096\"]\n  10 -> 18 [size =\"49540096\"]\n  10 -> 21 [size =\"49540096\"]\n  10 -> 22 [size =\"49540096\"]\n  10 -> 24 [size =\"49540096\"]\n  11 [size=\"69703680\", alpha=\"0.07\", expect_size=\"34851840\"] \n  11 -> 21 [size =\"34851840\"]\n  11 -> 23 [size =\"34851840\"]\n  12 [size=\"93753344\", alpha=\"0.03\", expect_size=\"46876672\"] \n  12 -> 21 [size =\"46876672\"]\n  12 -> 24 [size =\"46876672\"]\n  13 [size=\"45672448\", alpha=\"0.05\", expect_size=\"22836224\"] \n  13 -> 21 [size =\"22836224\"]\n  13 -> 22 [size =\"22836224\"]\n  13 -> 24 [size =\"22836224\"]\n  14 [size=\"30650368\", alpha=\"0.17\", expect_size=\"15325184\"] \n  14 -> 19 [size =\"15325184\"]\n  14 -> 20 [size =\"15325184\"]\n  14 -> 24 [size =\"15325184\"]\n  15 [size=\"91987968\", alpha=\"0.18\", expect_size=\"45993984\"] \n  15 -> 19 [size =\"45993984\"]\n  15 -> 21 [size =\"45993984\"]\n  16 [size=\"20918272\", alpha=\"0.13\", expect_size=\"10459136\"] \n  16 -> 17 [size =\"10459136\"]\n  16 -> 20 [size =\"10459136\"]\n  16 -> 24 [size =\"10459136\"]\n  17 [size=\"69834752\", alpha=\"0.10\", expect_size=\"34917376\"] \n  18 [size=\"66310144\", alpha=\"0.12\", expect_size=\"33155072\"] \n  18 -> 25 [size =\"33155072\"]\n  19 [size=\"15525888\", alpha=\"0.05\", expect_size=\"7762944\"] \n  20 [size=\"62062592\", alpha=\"0.01\", expect_size=\"31031296\"] \n  21 [size=\"58218496\", alpha=\"0.08\", expect_size=\"29109248\"] \n  22 [size=\"89225216\", alpha=\"0.14\", expect_size=\"44612608\"] \n  22 -> 25 [size =\"44612608\"]\n  23 [size=\"104759296\", alpha=\"0.06\", expect_size=\"52379648\"] \n  24 [size=\"36194304\", alpha=\"0.18\", expect_size=\"18097152\"] \n  24 -> 25 [size =\"18097152\"]\n  25 [size=\"20187136\", alpha=\"0.14\", expect_size=\"10093568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21457920\", alpha=\"0.18\", expect_size=\"8583168\"] \n  1 -> 25 [size =\"8583168\"]\n  2 [size=\"49661440\", alpha=\"0.11\", expect_size=\"19864576\"] \n  2 -> 21 [size =\"19864576\"]\n  3 [size=\"65638400\", alpha=\"0.16\", expect_size=\"26255360\"] \n  3 -> 21 [size =\"26255360\"]\n  3 -> 24 [size =\"26255360\"]\n  3 -> 25 [size =\"26255360\"]\n  4 [size=\"122841600\", alpha=\"0.02\", expect_size=\"49136640\"] \n  4 -> 25 [size =\"49136640\"]\n  5 [size=\"17438720\", alpha=\"0.01\", expect_size=\"6975488\"] \n  5 -> 22 [size =\"6975488\"]\n  5 -> 25 [size =\"6975488\"]\n  6 [size=\"23920640\", alpha=\"0.13\", expect_size=\"9568256\"] \n  6 -> 24 [size =\"9568256\"]\n  6 -> 25 [size =\"9568256\"]\n  7 [size=\"117393920\", alpha=\"0.12\", expect_size=\"46957568\"] \n  7 -> 23 [size =\"46957568\"]\n  7 -> 25 [size =\"46957568\"]\n  8 [size=\"24916480\", alpha=\"0.11\", expect_size=\"9966592\"] \n  8 -> 21 [size =\"9966592\"]\n  8 -> 24 [size =\"9966592\"]\n  8 -> 25 [size =\"9966592\"]\n  9 [size=\"128678400\", alpha=\"0.01\", expect_size=\"51471360\"] \n  9 -> 24 [size =\"51471360\"]\n  10 [size=\"47480320\", alpha=\"0.17\", expect_size=\"18992128\"] \n  10 -> 21 [size =\"18992128\"]\n  10 -> 22 [size =\"18992128\"]\n  11 [size=\"42283520\", alpha=\"0.13\", expect_size=\"16913408\"] \n  11 -> 22 [size =\"16913408\"]\n  11 -> 23 [size =\"16913408\"]\n  11 -> 25 [size =\"16913408\"]\n  12 [size=\"28940800\", alpha=\"0.03\", expect_size=\"11576320\"] \n  12 -> 22 [size =\"11576320\"]\n  12 -> 24 [size =\"11576320\"]\n  12 -> 25 [size =\"11576320\"]\n  13 [size=\"93980160\", alpha=\"0.06\", expect_size=\"37592064\"] \n  13 -> 22 [size =\"37592064\"]\n  14 [size=\"72732160\", alpha=\"0.09\", expect_size=\"29092864\"] \n  14 -> 22 [size =\"29092864\"]\n  14 -> 25 [size =\"29092864\"]\n  15 [size=\"84638720\", alpha=\"0.00\", expect_size=\"33855488\"] \n  15 -> 22 [size =\"33855488\"]\n  15 -> 25 [size =\"33855488\"]\n  16 [size=\"92981760\", alpha=\"0.03\", expect_size=\"37192704\"] \n  16 -> 24 [size =\"37192704\"]\n  16 -> 25 [size =\"37192704\"]\n  17 [size=\"52554240\", alpha=\"0.16\", expect_size=\"21021696\"] \n  17 -> 24 [size =\"21021696\"]\n  17 -> 25 [size =\"21021696\"]\n  18 [size=\"121482240\", alpha=\"0.04\", expect_size=\"48592896\"] \n  18 -> 24 [size =\"48592896\"]\n  19 [size=\"70374400\", alpha=\"0.01\", expect_size=\"28149760\"] \n  19 -> 22 [size =\"28149760\"]\n  20 [size=\"77685760\", alpha=\"0.06\", expect_size=\"31074304\"] \n  20 -> 23 [size =\"31074304\"]\n  20 -> 25 [size =\"31074304\"]\n  21 [size=\"58237440\", alpha=\"0.12\", expect_size=\"23294976\"] \n  22 [size=\"18657280\", alpha=\"0.04\", expect_size=\"7462912\"] \n  23 [size=\"35404800\", alpha=\"0.05\", expect_size=\"14161920\"] \n  24 [size=\"71121920\", alpha=\"0.05\", expect_size=\"28448768\"] \n  25 [size=\"123898880\", alpha=\"0.05\", expect_size=\"49559552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78428160\", alpha=\"0.07\", expect_size=\"31371264\"] \n  1 -> 6 [size =\"31371264\"]\n  1 -> 7 [size =\"31371264\"]\n  2 [size=\"42713600\", alpha=\"0.04\", expect_size=\"17085440\"] \n  2 -> 4 [size =\"17085440\"]\n  2 -> 8 [size =\"17085440\"]\n  3 [size=\"15032320\", alpha=\"0.09\", expect_size=\"6012928\"] \n  3 -> 4 [size =\"6012928\"]\n  3 -> 5 [size =\"6012928\"]\n  4 [size=\"26782720\", alpha=\"0.20\", expect_size=\"10713088\"] \n  4 -> 11 [size =\"10713088\"]\n  4 -> 12 [size =\"10713088\"]\n  5 [size=\"74885120\", alpha=\"0.10\", expect_size=\"29954048\"] \n  5 -> 9 [size =\"29954048\"]\n  5 -> 10 [size =\"29954048\"]\n  5 -> 12 [size =\"29954048\"]\n  6 [size=\"52782080\", alpha=\"0.00\", expect_size=\"21112832\"] \n  6 -> 9 [size =\"21112832\"]\n  7 [size=\"59353600\", alpha=\"0.05\", expect_size=\"23741440\"] \n  7 -> 10 [size =\"23741440\"]\n  7 -> 12 [size =\"23741440\"]\n  8 [size=\"120509440\", alpha=\"0.15\", expect_size=\"48203776\"] \n  9 [size=\"94607360\", alpha=\"0.04\", expect_size=\"37842944\"] \n  9 -> 15 [size =\"37842944\"]\n  10 [size=\"124441600\", alpha=\"0.08\", expect_size=\"49776640\"] \n  10 -> 13 [size =\"49776640\"]\n  10 -> 15 [size =\"49776640\"]\n  11 [size=\"81853440\", alpha=\"0.14\", expect_size=\"32741376\"] \n  11 -> 13 [size =\"32741376\"]\n  12 [size=\"121477120\", alpha=\"0.03\", expect_size=\"48590848\"] \n  12 -> 14 [size =\"48590848\"]\n  13 [size=\"27225600\", alpha=\"0.03\", expect_size=\"10890240\"] \n  13 -> 18 [size =\"10890240\"]\n  14 [size=\"77926400\", alpha=\"0.13\", expect_size=\"31170560\"] \n  15 [size=\"75102720\", alpha=\"0.18\", expect_size=\"30041088\"] \n  15 -> 16 [size =\"30041088\"]\n  15 -> 17 [size =\"30041088\"]\n  15 -> 18 [size =\"30041088\"]\n  16 [size=\"14241280\", alpha=\"0.05\", expect_size=\"5696512\"] \n  16 -> 19 [size =\"5696512\"]\n  16 -> 20 [size =\"5696512\"]\n  17 [size=\"16404480\", alpha=\"0.10\", expect_size=\"6561792\"] \n  17 -> 20 [size =\"6561792\"]\n  18 [size=\"44556800\", alpha=\"0.19\", expect_size=\"17822720\"] \n  19 [size=\"130301440\", alpha=\"0.02\", expect_size=\"52120576\"] \n  19 -> 22 [size =\"52120576\"]\n  20 [size=\"35266560\", alpha=\"0.09\", expect_size=\"14106624\"] \n  20 -> 21 [size =\"14106624\"]\n  20 -> 22 [size =\"14106624\"]\n  21 [size=\"81448960\", alpha=\"0.08\", expect_size=\"32579584\"] \n  21 -> 23 [size =\"32579584\"]\n  21 -> 24 [size =\"32579584\"]\n  21 -> 25 [size =\"32579584\"]\n  22 [size=\"48268800\", alpha=\"0.11\", expect_size=\"19307520\"] \n  23 [size=\"67443200\", alpha=\"0.15\", expect_size=\"26977280\"] \n  24 [size=\"84956160\", alpha=\"0.01\", expect_size=\"33982464\"] \n  25 [size=\"45480960\", alpha=\"0.18\", expect_size=\"18192384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28042240\", alpha=\"0.08\", expect_size=\"11216896\"] \n  2 [size=\"99865600\", alpha=\"0.20\", expect_size=\"39946240\"] \n  2 -> 12 [size =\"39946240\"]\n  3 [size=\"55831040\", alpha=\"0.05\", expect_size=\"22332416\"] \n  3 -> 9 [size =\"22332416\"]\n  3 -> 11 [size =\"22332416\"]\n  4 [size=\"50014720\", alpha=\"0.08\", expect_size=\"20005888\"] \n  4 -> 8 [size =\"20005888\"]\n  4 -> 12 [size =\"20005888\"]\n  4 -> 13 [size =\"20005888\"]\n  5 [size=\"48785920\", alpha=\"0.08\", expect_size=\"19514368\"] \n  5 -> 8 [size =\"19514368\"]\n  5 -> 9 [size =\"19514368\"]\n  5 -> 11 [size =\"19514368\"]\n  6 [size=\"49722880\", alpha=\"0.07\", expect_size=\"19889152\"] \n  6 -> 10 [size =\"19889152\"]\n  7 [size=\"60497920\", alpha=\"0.17\", expect_size=\"24199168\"] \n  7 -> 10 [size =\"24199168\"]\n  7 -> 11 [size =\"24199168\"]\n  7 -> 12 [size =\"24199168\"]\n  7 -> 13 [size =\"24199168\"]\n  8 [size=\"70976000\", alpha=\"0.13\", expect_size=\"28390400\"] \n  8 -> 16 [size =\"28390400\"]\n  8 -> 17 [size =\"28390400\"]\n  8 -> 19 [size =\"28390400\"]\n  9 [size=\"64901120\", alpha=\"0.14\", expect_size=\"25960448\"] \n  9 -> 15 [size =\"25960448\"]\n  9 -> 16 [size =\"25960448\"]\n  9 -> 18 [size =\"25960448\"]\n  9 -> 20 [size =\"25960448\"]\n  10 [size=\"89315840\", alpha=\"0.20\", expect_size=\"35726336\"] \n  10 -> 14 [size =\"35726336\"]\n  10 -> 15 [size =\"35726336\"]\n  10 -> 20 [size =\"35726336\"]\n  11 [size=\"102297600\", alpha=\"0.14\", expect_size=\"40919040\"] \n  11 -> 14 [size =\"40919040\"]\n  11 -> 15 [size =\"40919040\"]\n  11 -> 17 [size =\"40919040\"]\n  11 -> 18 [size =\"40919040\"]\n  11 -> 20 [size =\"40919040\"]\n  12 [size=\"34104320\", alpha=\"0.17\", expect_size=\"13641728\"] \n  12 -> 15 [size =\"13641728\"]\n  12 -> 17 [size =\"13641728\"]\n  12 -> 18 [size =\"13641728\"]\n  12 -> 18 [size =\"13641728\"]\n  13 [size=\"34096640\", alpha=\"0.09\", expect_size=\"13638656\"] \n  13 -> 16 [size =\"13638656\"]\n  14 [size=\"63654400\", alpha=\"0.19\", expect_size=\"25461760\"] \n  14 -> 25 [size =\"25461760\"]\n  15 [size=\"112058880\", alpha=\"0.12\", expect_size=\"44823552\"] \n  15 -> 22 [size =\"44823552\"]\n  15 -> 25 [size =\"44823552\"]\n  16 [size=\"42442240\", alpha=\"0.06\", expect_size=\"16976896\"] \n  16 -> 22 [size =\"16976896\"]\n  17 [size=\"83560960\", alpha=\"0.18\", expect_size=\"33424384\"] \n  18 [size=\"65451520\", alpha=\"0.04\", expect_size=\"26180608\"] \n  18 -> 21 [size =\"26180608\"]\n  18 -> 22 [size =\"26180608\"]\n  18 -> 23 [size =\"26180608\"]\n  18 -> 25 [size =\"26180608\"]\n  19 [size=\"23301120\", alpha=\"0.16\", expect_size=\"9320448\"] \n  19 -> 24 [size =\"9320448\"]\n  19 -> 25 [size =\"9320448\"]\n  20 [size=\"105745920\", alpha=\"0.09\", expect_size=\"42298368\"] \n  20 -> 24 [size =\"42298368\"]\n  21 [size=\"103718400\", alpha=\"0.05\", expect_size=\"41487360\"] \n  22 [size=\"65884160\", alpha=\"0.16\", expect_size=\"26353664\"] \n  23 [size=\"48284160\", alpha=\"0.14\", expect_size=\"19313664\"] \n  24 [size=\"99479040\", alpha=\"0.18\", expect_size=\"39791616\"] \n  25 [size=\"92858880\", alpha=\"0.09\", expect_size=\"37143552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65249280\", alpha=\"0.07\", expect_size=\"19574784\"] \n  1 -> 3 [size =\"19574784\"]\n  2 [size=\"169332053\", alpha=\"0.07\", expect_size=\"50799616\"] \n  3 [size=\"67031040\", alpha=\"0.05\", expect_size=\"20109312\"] \n  3 -> 4 [size =\"20109312\"]\n  3 -> 5 [size =\"20109312\"]\n  4 [size=\"24398507\", alpha=\"0.14\", expect_size=\"7319552\"] \n  4 -> 6 [size =\"7319552\"]\n  5 [size=\"165649067\", alpha=\"0.03\", expect_size=\"49694720\"] \n  6 [size=\"148322987\", alpha=\"0.12\", expect_size=\"44496896\"] \n  6 -> 7 [size =\"44496896\"]\n  7 [size=\"91477333\", alpha=\"0.19\", expect_size=\"27443200\"] \n  7 -> 8 [size =\"27443200\"]\n  7 -> 9 [size =\"27443200\"]\n  8 [size=\"57309867\", alpha=\"0.07\", expect_size=\"17192960\"] \n  8 -> 10 [size =\"17192960\"]\n  9 [size=\"121320107\", alpha=\"0.05\", expect_size=\"36396032\"] \n  9 -> 11 [size =\"36396032\"]\n  10 [size=\"41536853\", alpha=\"0.08\", expect_size=\"12461056\"] \n  11 [size=\"149265067\", alpha=\"0.11\", expect_size=\"44779520\"] \n  11 -> 12 [size =\"44779520\"]\n  12 [size=\"43468800\", alpha=\"0.07\", expect_size=\"13040640\"] \n  12 -> 13 [size =\"13040640\"]\n  12 -> 14 [size =\"13040640\"]\n  13 [size=\"96593920\", alpha=\"0.16\", expect_size=\"28978176\"] \n  13 -> 15 [size =\"28978176\"]\n  13 -> 16 [size =\"28978176\"]\n  14 [size=\"136127147\", alpha=\"0.09\", expect_size=\"40838144\"] \n  14 -> 15 [size =\"40838144\"]\n  15 [size=\"87367680\", alpha=\"0.00\", expect_size=\"26210304\"] \n  16 [size=\"107410773\", alpha=\"0.17\", expect_size=\"32223232\"] \n  16 -> 17 [size =\"32223232\"]\n  17 [size=\"47970987\", alpha=\"0.06\", expect_size=\"14391296\"] \n  17 -> 18 [size =\"14391296\"]\n  18 [size=\"39789227\", alpha=\"0.09\", expect_size=\"11936768\"] \n  18 -> 19 [size =\"11936768\"]\n  19 [size=\"91682133\", alpha=\"0.12\", expect_size=\"27504640\"] \n  19 -> 20 [size =\"27504640\"]\n  19 -> 21 [size =\"27504640\"]\n  20 [size=\"130669227\", alpha=\"0.03\", expect_size=\"39200768\"] \n  20 -> 22 [size =\"39200768\"]\n  21 [size=\"38813013\", alpha=\"0.20\", expect_size=\"11643904\"] \n  21 -> 22 [size =\"11643904\"]\n  22 [size=\"125914453\", alpha=\"0.16\", expect_size=\"37774336\"] \n  22 -> 23 [size =\"37774336\"]\n  23 [size=\"26251947\", alpha=\"0.18\", expect_size=\"7875584\"] \n  23 -> 24 [size =\"7875584\"]\n  24 [size=\"155658240\", alpha=\"0.01\", expect_size=\"46697472\"] \n  24 -> 25 [size =\"46697472\"]\n  25 [size=\"70171307\", alpha=\"0.03\", expect_size=\"21051392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173260800\", alpha=\"0.17\", expect_size=\"51978240\"] \n  1 -> 17 [size =\"51978240\"]\n  1 -> 18 [size =\"51978240\"]\n  1 -> 19 [size =\"51978240\"]\n  1 -> 20 [size =\"51978240\"]\n  1 -> 23 [size =\"51978240\"]\n  1 -> 25 [size =\"51978240\"]\n  2 [size=\"29248853\", alpha=\"0.08\", expect_size=\"8774656\"] \n  2 -> 17 [size =\"8774656\"]\n  2 -> 18 [size =\"8774656\"]\n  2 -> 19 [size =\"8774656\"]\n  2 -> 21 [size =\"8774656\"]\n  2 -> 25 [size =\"8774656\"]\n  2 -> 25 [size =\"8774656\"]\n  3 [size=\"78441813\", alpha=\"0.18\", expect_size=\"23532544\"] \n  3 -> 17 [size =\"23532544\"]\n  3 -> 20 [size =\"23532544\"]\n  4 [size=\"131314347\", alpha=\"0.10\", expect_size=\"39394304\"] \n  4 -> 20 [size =\"39394304\"]\n  4 -> 22 [size =\"39394304\"]\n  5 [size=\"169724587\", alpha=\"0.10\", expect_size=\"50917376\"] \n  6 [size=\"49612800\", alpha=\"0.09\", expect_size=\"14883840\"] \n  6 -> 18 [size =\"14883840\"]\n  6 -> 21 [size =\"14883840\"]\n  6 -> 24 [size =\"14883840\"]\n  7 [size=\"168727893\", alpha=\"0.14\", expect_size=\"50618368\"] \n  7 -> 17 [size =\"50618368\"]\n  7 -> 18 [size =\"50618368\"]\n  7 -> 20 [size =\"50618368\"]\n  7 -> 21 [size =\"50618368\"]\n  7 -> 22 [size =\"50618368\"]\n  8 [size=\"106813440\", alpha=\"0.18\", expect_size=\"32044032\"] \n  8 -> 18 [size =\"32044032\"]\n  8 -> 19 [size =\"32044032\"]\n  8 -> 20 [size =\"32044032\"]\n  8 -> 21 [size =\"32044032\"]\n  8 -> 22 [size =\"32044032\"]\n  8 -> 23 [size =\"32044032\"]\n  8 -> 25 [size =\"32044032\"]\n  9 [size=\"120818347\", alpha=\"0.16\", expect_size=\"36245504\"] \n  9 -> 18 [size =\"36245504\"]\n  9 -> 19 [size =\"36245504\"]\n  9 -> 20 [size =\"36245504\"]\n  9 -> 22 [size =\"36245504\"]\n  9 -> 25 [size =\"36245504\"]\n  10 [size=\"64918187\", alpha=\"0.19\", expect_size=\"19475456\"] \n  10 -> 19 [size =\"19475456\"]\n  10 -> 19 [size =\"19475456\"]\n  10 -> 20 [size =\"19475456\"]\n  10 -> 22 [size =\"19475456\"]\n  10 -> 24 [size =\"19475456\"]\n  11 [size=\"105960107\", alpha=\"0.07\", expect_size=\"31788032\"] \n  11 -> 18 [size =\"31788032\"]\n  11 -> 19 [size =\"31788032\"]\n  11 -> 20 [size =\"31788032\"]\n  11 -> 22 [size =\"31788032\"]\n  11 -> 24 [size =\"31788032\"]\n  12 [size=\"83862187\", alpha=\"0.04\", expect_size=\"25158656\"] \n  12 -> 17 [size =\"25158656\"]\n  12 -> 18 [size =\"25158656\"]\n  12 -> 19 [size =\"25158656\"]\n  12 -> 21 [size =\"25158656\"]\n  12 -> 23 [size =\"25158656\"]\n  13 [size=\"148660907\", alpha=\"0.11\", expect_size=\"44598272\"] \n  13 -> 17 [size =\"44598272\"]\n  13 -> 20 [size =\"44598272\"]\n  14 [size=\"132311040\", alpha=\"0.08\", expect_size=\"39693312\"] \n  14 -> 19 [size =\"39693312\"]\n  14 -> 20 [size =\"39693312\"]\n  14 -> 21 [size =\"39693312\"]\n  15 [size=\"56108373\", alpha=\"0.12\", expect_size=\"16832512\"] \n  15 -> 17 [size =\"16832512\"]\n  15 -> 18 [size =\"16832512\"]\n  15 -> 20 [size =\"16832512\"]\n  16 [size=\"138516480\", alpha=\"0.06\", expect_size=\"41554944\"] \n  16 -> 17 [size =\"41554944\"]\n  16 -> 18 [size =\"41554944\"]\n  16 -> 20 [size =\"41554944\"]\n  16 -> 25 [size =\"41554944\"]\n  17 [size=\"52363947\", alpha=\"0.17\", expect_size=\"15709184\"] \n  18 [size=\"163543040\", alpha=\"0.02\", expect_size=\"49062912\"] \n  19 [size=\"147947520\", alpha=\"0.01\", expect_size=\"44384256\"] \n  20 [size=\"116677973\", alpha=\"0.03\", expect_size=\"35003392\"] \n  21 [size=\"107281067\", alpha=\"0.06\", expect_size=\"32184320\"] \n  22 [size=\"159020373\", alpha=\"0.11\", expect_size=\"47706112\"] \n  23 [size=\"32034133\", alpha=\"0.03\", expect_size=\"9610240\"] \n  24 [size=\"115128320\", alpha=\"0.09\", expect_size=\"34538496\"] \n  25 [size=\"17664000\", alpha=\"0.15\", expect_size=\"5299200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96880640\", alpha=\"0.18\", expect_size=\"29064192\"] \n  1 -> 5 [size =\"29064192\"]\n  2 [size=\"104762027\", alpha=\"0.03\", expect_size=\"31428608\"] \n  2 -> 4 [size =\"31428608\"]\n  3 [size=\"89818453\", alpha=\"0.18\", expect_size=\"26945536\"] \n  3 -> 4 [size =\"26945536\"]\n  3 -> 5 [size =\"26945536\"]\n  3 -> 6 [size =\"26945536\"]\n  4 [size=\"134382933\", alpha=\"0.16\", expect_size=\"40314880\"] \n  4 -> 8 [size =\"40314880\"]\n  5 [size=\"36157440\", alpha=\"0.13\", expect_size=\"10847232\"] \n  5 -> 10 [size =\"10847232\"]\n  6 [size=\"68608000\", alpha=\"0.08\", expect_size=\"20582400\"] \n  6 -> 7 [size =\"20582400\"]\n  6 -> 9 [size =\"20582400\"]\n  7 [size=\"32317440\", alpha=\"0.00\", expect_size=\"9695232\"] \n  7 -> 11 [size =\"9695232\"]\n  7 -> 13 [size =\"9695232\"]\n  7 -> 14 [size =\"9695232\"]\n  8 [size=\"167004160\", alpha=\"0.07\", expect_size=\"50101248\"] \n  8 -> 12 [size =\"50101248\"]\n  9 [size=\"24098133\", alpha=\"0.18\", expect_size=\"7229440\"] \n  9 -> 12 [size =\"7229440\"]\n  9 -> 14 [size =\"7229440\"]\n  10 [size=\"139362987\", alpha=\"0.20\", expect_size=\"41808896\"] \n  10 -> 13 [size =\"41808896\"]\n  11 [size=\"62047573\", alpha=\"0.10\", expect_size=\"18614272\"] \n  11 -> 15 [size =\"18614272\"]\n  11 -> 17 [size =\"18614272\"]\n  12 [size=\"49902933\", alpha=\"0.14\", expect_size=\"14970880\"] \n  12 -> 15 [size =\"14970880\"]\n  13 [size=\"70120107\", alpha=\"0.07\", expect_size=\"21036032\"] \n  13 -> 16 [size =\"21036032\"]\n  13 -> 17 [size =\"21036032\"]\n  13 -> 18 [size =\"21036032\"]\n  14 [size=\"54183253\", alpha=\"0.19\", expect_size=\"16254976\"] \n  14 -> 16 [size =\"16254976\"]\n  14 -> 18 [size =\"16254976\"]\n  15 [size=\"21142187\", alpha=\"0.12\", expect_size=\"6342656\"] \n  15 -> 21 [size =\"6342656\"]\n  16 [size=\"120139093\", alpha=\"0.07\", expect_size=\"36041728\"] \n  16 -> 19 [size =\"36041728\"]\n  17 [size=\"22606507\", alpha=\"0.13\", expect_size=\"6781952\"] \n  17 -> 19 [size =\"6781952\"]\n  17 -> 20 [size =\"6781952\"]\n  18 [size=\"24320000\", alpha=\"0.12\", expect_size=\"7296000\"] \n  19 [size=\"82773333\", alpha=\"0.02\", expect_size=\"24832000\"] \n  20 [size=\"68051627\", alpha=\"0.12\", expect_size=\"20415488\"] \n  20 -> 23 [size =\"20415488\"]\n  20 -> 24 [size =\"20415488\"]\n  21 [size=\"67904853\", alpha=\"0.13\", expect_size=\"20371456\"] \n  21 -> 22 [size =\"20371456\"]\n  22 [size=\"148483413\", alpha=\"0.05\", expect_size=\"44545024\"] \n  23 [size=\"97631573\", alpha=\"0.06\", expect_size=\"29289472\"] \n  23 -> 25 [size =\"29289472\"]\n  24 [size=\"152913920\", alpha=\"0.01\", expect_size=\"45874176\"] \n  25 [size=\"141629440\", alpha=\"0.20\", expect_size=\"42488832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126581760\", alpha=\"0.15\", expect_size=\"50632704\"] \n  1 -> 2 [size =\"50632704\"]\n  1 -> 3 [size =\"50632704\"]\n  2 [size=\"47296000\", alpha=\"0.01\", expect_size=\"18918400\"] \n  2 -> 5 [size =\"18918400\"]\n  3 [size=\"35727360\", alpha=\"0.00\", expect_size=\"14290944\"] \n  3 -> 4 [size =\"14290944\"]\n  3 -> 5 [size =\"14290944\"]\n  4 [size=\"97615360\", alpha=\"0.12\", expect_size=\"39046144\"] \n  4 -> 6 [size =\"39046144\"]\n  5 [size=\"29383680\", alpha=\"0.10\", expect_size=\"11753472\"] \n  5 -> 6 [size =\"11753472\"]\n  6 [size=\"112696320\", alpha=\"0.12\", expect_size=\"45078528\"] \n  6 -> 7 [size =\"45078528\"]\n  7 [size=\"108503040\", alpha=\"0.04\", expect_size=\"43401216\"] \n  7 -> 8 [size =\"43401216\"]\n  7 -> 9 [size =\"43401216\"]\n  8 [size=\"122324480\", alpha=\"0.13\", expect_size=\"48929792\"] \n  8 -> 10 [size =\"48929792\"]\n  9 [size=\"49251840\", alpha=\"0.08\", expect_size=\"19700736\"] \n  10 [size=\"101800960\", alpha=\"0.03\", expect_size=\"40720384\"] \n  10 -> 11 [size =\"40720384\"]\n  10 -> 12 [size =\"40720384\"]\n  11 [size=\"16248320\", alpha=\"0.15\", expect_size=\"6499328\"] \n  12 [size=\"106744320\", alpha=\"0.16\", expect_size=\"42697728\"] \n  12 -> 13 [size =\"42697728\"]\n  13 [size=\"115207680\", alpha=\"0.03\", expect_size=\"46083072\"] \n  13 -> 14 [size =\"46083072\"]\n  13 -> 15 [size =\"46083072\"]\n  14 [size=\"117470720\", alpha=\"0.07\", expect_size=\"46988288\"] \n  14 -> 16 [size =\"46988288\"]\n  15 [size=\"68467200\", alpha=\"0.12\", expect_size=\"27386880\"] \n  15 -> 16 [size =\"27386880\"]\n  16 [size=\"127820800\", alpha=\"0.01\", expect_size=\"51128320\"] \n  16 -> 17 [size =\"51128320\"]\n  17 [size=\"81233920\", alpha=\"0.16\", expect_size=\"32493568\"] \n  17 -> 18 [size =\"32493568\"]\n  18 [size=\"105372160\", alpha=\"0.05\", expect_size=\"42148864\"] \n  18 -> 19 [size =\"42148864\"]\n  18 -> 20 [size =\"42148864\"]\n  19 [size=\"63772160\", alpha=\"0.03\", expect_size=\"25508864\"] \n  19 -> 21 [size =\"25508864\"]\n  20 [size=\"108641280\", alpha=\"0.03\", expect_size=\"43456512\"] \n  20 -> 21 [size =\"43456512\"]\n  21 [size=\"125516800\", alpha=\"0.02\", expect_size=\"50206720\"] \n  21 -> 22 [size =\"50206720\"]\n  22 [size=\"96883200\", alpha=\"0.07\", expect_size=\"38753280\"] \n  22 -> 23 [size =\"38753280\"]\n  22 -> 24 [size =\"38753280\"]\n  23 [size=\"72419840\", alpha=\"0.16\", expect_size=\"28967936\"] \n  23 -> 25 [size =\"28967936\"]\n  24 [size=\"87882240\", alpha=\"0.19\", expect_size=\"35152896\"] \n  24 -> 25 [size =\"35152896\"]\n  25 [size=\"126387200\", alpha=\"0.05\", expect_size=\"50554880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46800213\", alpha=\"0.07\", expect_size=\"14040064\"] \n  1 -> 5 [size =\"14040064\"]\n  1 -> 7 [size =\"14040064\"]\n  2 [size=\"168185173\", alpha=\"0.15\", expect_size=\"50455552\"] \n  2 -> 6 [size =\"50455552\"]\n  3 [size=\"148456107\", alpha=\"0.10\", expect_size=\"44536832\"] \n  3 -> 4 [size =\"44536832\"]\n  3 -> 5 [size =\"44536832\"]\n  4 [size=\"36621653\", alpha=\"0.07\", expect_size=\"10986496\"] \n  4 -> 10 [size =\"10986496\"]\n  4 -> 11 [size =\"10986496\"]\n  5 [size=\"85640533\", alpha=\"0.08\", expect_size=\"25692160\"] \n  6 [size=\"86077440\", alpha=\"0.13\", expect_size=\"25823232\"] \n  6 -> 8 [size =\"25823232\"]\n  6 -> 9 [size =\"25823232\"]\n  7 [size=\"63385600\", alpha=\"0.12\", expect_size=\"19015680\"] \n  7 -> 9 [size =\"19015680\"]\n  8 [size=\"155084800\", alpha=\"0.17\", expect_size=\"46525440\"] \n  8 -> 12 [size =\"46525440\"]\n  9 [size=\"43905707\", alpha=\"0.13\", expect_size=\"13171712\"] \n  9 -> 13 [size =\"13171712\"]\n  10 [size=\"93272747\", alpha=\"0.12\", expect_size=\"27981824\"] \n  10 -> 13 [size =\"27981824\"]\n  10 -> 14 [size =\"27981824\"]\n  11 [size=\"98812587\", alpha=\"0.06\", expect_size=\"29643776\"] \n  11 -> 12 [size =\"29643776\"]\n  11 -> 14 [size =\"29643776\"]\n  12 [size=\"153883307\", alpha=\"0.00\", expect_size=\"46164992\"] \n  12 -> 15 [size =\"46164992\"]\n  12 -> 18 [size =\"46164992\"]\n  13 [size=\"117312853\", alpha=\"0.09\", expect_size=\"35193856\"] \n  13 -> 16 [size =\"35193856\"]\n  13 -> 17 [size =\"35193856\"]\n  13 -> 19 [size =\"35193856\"]\n  14 [size=\"40379733\", alpha=\"0.14\", expect_size=\"12113920\"] \n  14 -> 18 [size =\"12113920\"]\n  15 [size=\"94945280\", alpha=\"0.13\", expect_size=\"28483584\"] \n  15 -> 20 [size =\"28483584\"]\n  15 -> 21 [size =\"28483584\"]\n  16 [size=\"157279573\", alpha=\"0.09\", expect_size=\"47183872\"] \n  16 -> 21 [size =\"47183872\"]\n  17 [size=\"101952853\", alpha=\"0.07\", expect_size=\"30585856\"] \n  17 -> 23 [size =\"30585856\"]\n  18 [size=\"39608320\", alpha=\"0.11\", expect_size=\"11882496\"] \n  18 -> 22 [size =\"11882496\"]\n  19 [size=\"18353493\", alpha=\"0.10\", expect_size=\"5506048\"] \n  19 -> 23 [size =\"5506048\"]\n  20 [size=\"124443307\", alpha=\"0.08\", expect_size=\"37332992\"] \n  20 -> 24 [size =\"37332992\"]\n  21 [size=\"58091520\", alpha=\"0.10\", expect_size=\"17427456\"] \n  22 [size=\"105775787\", alpha=\"0.11\", expect_size=\"31732736\"] \n  22 -> 25 [size =\"31732736\"]\n  23 [size=\"106338987\", alpha=\"0.09\", expect_size=\"31901696\"] \n  24 [size=\"173557760\", alpha=\"0.09\", expect_size=\"52067328\"] \n  25 [size=\"130242560\", alpha=\"0.18\", expect_size=\"39072768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87104853\", alpha=\"0.07\", expect_size=\"26131456\"] \n  1 -> 3 [size =\"26131456\"]\n  2 [size=\"116927147\", alpha=\"0.01\", expect_size=\"35078144\"] \n  3 [size=\"98949120\", alpha=\"0.14\", expect_size=\"29684736\"] \n  3 -> 4 [size =\"29684736\"]\n  3 -> 5 [size =\"29684736\"]\n  4 [size=\"61853013\", alpha=\"0.09\", expect_size=\"18555904\"] \n  4 -> 6 [size =\"18555904\"]\n  5 [size=\"27685547\", alpha=\"0.17\", expect_size=\"8305664\"] \n  5 -> 7 [size =\"8305664\"]\n  6 [size=\"154559147\", alpha=\"0.19\", expect_size=\"46367744\"] \n  6 -> 8 [size =\"46367744\"]\n  7 [size=\"41530027\", alpha=\"0.00\", expect_size=\"12459008\"] \n  8 [size=\"56586240\", alpha=\"0.02\", expect_size=\"16975872\"] \n  8 -> 9 [size =\"16975872\"]\n  9 [size=\"97099093\", alpha=\"0.16\", expect_size=\"29129728\"] \n  9 -> 10 [size =\"29129728\"]\n  10 [size=\"22203733\", alpha=\"0.09\", expect_size=\"6661120\"] \n  10 -> 11 [size =\"6661120\"]\n  11 [size=\"113506987\", alpha=\"0.10\", expect_size=\"34052096\"] \n  11 -> 12 [size =\"34052096\"]\n  12 [size=\"165416960\", alpha=\"0.19\", expect_size=\"49625088\"] \n  12 -> 13 [size =\"49625088\"]\n  12 -> 14 [size =\"49625088\"]\n  13 [size=\"170642773\", alpha=\"0.14\", expect_size=\"51192832\"] \n  13 -> 15 [size =\"51192832\"]\n  14 [size=\"121067520\", alpha=\"0.12\", expect_size=\"36320256\"] \n  15 [size=\"31883947\", alpha=\"0.05\", expect_size=\"9565184\"] \n  15 -> 16 [size =\"9565184\"]\n  16 [size=\"163840000\", alpha=\"0.18\", expect_size=\"49152000\"] \n  16 -> 17 [size =\"49152000\"]\n  17 [size=\"154647893\", alpha=\"0.15\", expect_size=\"46394368\"] \n  17 -> 18 [size =\"46394368\"]\n  17 -> 19 [size =\"46394368\"]\n  18 [size=\"155589973\", alpha=\"0.09\", expect_size=\"46676992\"] \n  18 -> 21 [size =\"46676992\"]\n  19 [size=\"168550400\", alpha=\"0.03\", expect_size=\"50565120\"] \n  19 -> 20 [size =\"50565120\"]\n  20 [size=\"139885227\", alpha=\"0.18\", expect_size=\"41965568\"] \n  21 [size=\"56548693\", alpha=\"0.02\", expect_size=\"16964608\"] \n  21 -> 22 [size =\"16964608\"]\n  22 [size=\"135103147\", alpha=\"0.18\", expect_size=\"40530944\"] \n  22 -> 23 [size =\"40530944\"]\n  22 -> 24 [size =\"40530944\"]\n  23 [size=\"126624427\", alpha=\"0.05\", expect_size=\"37987328\"] \n  23 -> 25 [size =\"37987328\"]\n  24 [size=\"76127573\", alpha=\"0.17\", expect_size=\"22838272\"] \n  25 [size=\"167089493\", alpha=\"0.11\", expect_size=\"50126848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54111573\", alpha=\"0.19\", expect_size=\"16233472\"] \n  1 -> 2 [size =\"16233472\"]\n  2 [size=\"23497387\", alpha=\"0.11\", expect_size=\"7049216\"] \n  2 -> 3 [size =\"7049216\"]\n  3 [size=\"24265387\", alpha=\"0.20\", expect_size=\"7279616\"] \n  3 -> 4 [size =\"7279616\"]\n  4 [size=\"173380267\", alpha=\"0.16\", expect_size=\"52014080\"] \n  4 -> 5 [size =\"52014080\"]\n  5 [size=\"55415467\", alpha=\"0.13\", expect_size=\"16624640\"] \n  5 -> 6 [size =\"16624640\"]\n  6 [size=\"57118720\", alpha=\"0.03\", expect_size=\"17135616\"] \n  6 -> 7 [size =\"17135616\"]\n  7 [size=\"66532693\", alpha=\"0.11\", expect_size=\"19959808\"] \n  7 -> 8 [size =\"19959808\"]\n  8 [size=\"132283733\", alpha=\"0.08\", expect_size=\"39685120\"] \n  8 -> 9 [size =\"39685120\"]\n  9 [size=\"88111787\", alpha=\"0.19\", expect_size=\"26433536\"] \n  9 -> 10 [size =\"26433536\"]\n  10 [size=\"164898133\", alpha=\"0.19\", expect_size=\"49469440\"] \n  10 -> 11 [size =\"49469440\"]\n  11 [size=\"100113067\", alpha=\"0.16\", expect_size=\"30033920\"] \n  11 -> 12 [size =\"30033920\"]\n  12 [size=\"95726933\", alpha=\"0.12\", expect_size=\"28718080\"] \n  12 -> 13 [size =\"28718080\"]\n  13 [size=\"28211200\", alpha=\"0.20\", expect_size=\"8463360\"] \n  13 -> 14 [size =\"8463360\"]\n  14 [size=\"25289387\", alpha=\"0.14\", expect_size=\"7586816\"] \n  14 -> 15 [size =\"7586816\"]\n  15 [size=\"154555733\", alpha=\"0.13\", expect_size=\"46366720\"] \n  15 -> 16 [size =\"46366720\"]\n  16 [size=\"99870720\", alpha=\"0.02\", expect_size=\"29961216\"] \n  16 -> 17 [size =\"29961216\"]\n  17 [size=\"126638080\", alpha=\"0.10\", expect_size=\"37991424\"] \n  17 -> 18 [size =\"37991424\"]\n  18 [size=\"58982400\", alpha=\"0.07\", expect_size=\"17694720\"] \n  18 -> 19 [size =\"17694720\"]\n  19 [size=\"119886507\", alpha=\"0.19\", expect_size=\"35965952\"] \n  19 -> 20 [size =\"35965952\"]\n  20 [size=\"108339200\", alpha=\"0.08\", expect_size=\"32501760\"] \n  20 -> 21 [size =\"32501760\"]\n  21 [size=\"102420480\", alpha=\"0.01\", expect_size=\"30726144\"] \n  21 -> 22 [size =\"30726144\"]\n  22 [size=\"70379520\", alpha=\"0.15\", expect_size=\"21113856\"] \n  22 -> 23 [size =\"21113856\"]\n  23 [size=\"165894827\", alpha=\"0.10\", expect_size=\"49768448\"] \n  23 -> 24 [size =\"49768448\"]\n  24 [size=\"163307520\", alpha=\"0.04\", expect_size=\"48992256\"] \n  24 -> 25 [size =\"48992256\"]\n  25 [size=\"114749440\", alpha=\"0.04\", expect_size=\"34424832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45451264\", alpha=\"0.04\", expect_size=\"22725632\"] \n  1 -> 5 [size =\"22725632\"]\n  1 -> 6 [size =\"22725632\"]\n  1 -> 7 [size =\"22725632\"]\n  2 [size=\"57722880\", alpha=\"0.18\", expect_size=\"28861440\"] \n  2 -> 5 [size =\"28861440\"]\n  2 -> 6 [size =\"28861440\"]\n  2 -> 7 [size =\"28861440\"]\n  3 [size=\"61911040\", alpha=\"0.17\", expect_size=\"30955520\"] \n  3 -> 6 [size =\"30955520\"]\n  4 [size=\"91072512\", alpha=\"0.12\", expect_size=\"45536256\"] \n  4 -> 6 [size =\"45536256\"]\n  5 [size=\"18726912\", alpha=\"0.02\", expect_size=\"9363456\"] \n  5 -> 8 [size =\"9363456\"]\n  5 -> 9 [size =\"9363456\"]\n  5 -> 10 [size =\"9363456\"]\n  5 -> 11 [size =\"9363456\"]\n  6 [size=\"34541568\", alpha=\"0.01\", expect_size=\"17270784\"] \n  6 -> 8 [size =\"17270784\"]\n  6 -> 9 [size =\"17270784\"]\n  6 -> 10 [size =\"17270784\"]\n  6 -> 11 [size =\"17270784\"]\n  7 [size=\"31023104\", alpha=\"0.08\", expect_size=\"15511552\"] \n  7 -> 8 [size =\"15511552\"]\n  7 -> 9 [size =\"15511552\"]\n  7 -> 10 [size =\"15511552\"]\n  8 [size=\"34523136\", alpha=\"0.07\", expect_size=\"17261568\"] \n  8 -> 13 [size =\"17261568\"]\n  8 -> 15 [size =\"17261568\"]\n  9 [size=\"103217152\", alpha=\"0.17\", expect_size=\"51608576\"] \n  9 -> 14 [size =\"51608576\"]\n  9 -> 15 [size =\"51608576\"]\n  10 [size=\"65075200\", alpha=\"0.13\", expect_size=\"32537600\"] \n  10 -> 12 [size =\"32537600\"]\n  10 -> 14 [size =\"32537600\"]\n  10 -> 15 [size =\"32537600\"]\n  11 [size=\"16109568\", alpha=\"0.12\", expect_size=\"8054784\"] \n  11 -> 12 [size =\"8054784\"]\n  11 -> 14 [size =\"8054784\"]\n  12 [size=\"34144256\", alpha=\"0.19\", expect_size=\"17072128\"] \n  12 -> 16 [size =\"17072128\"]\n  12 -> 17 [size =\"17072128\"]\n  13 [size=\"22407168\", alpha=\"0.17\", expect_size=\"11203584\"] \n  13 -> 17 [size =\"11203584\"]\n  13 -> 17 [size =\"11203584\"]\n  14 [size=\"102914048\", alpha=\"0.04\", expect_size=\"51457024\"] \n  15 [size=\"67487744\", alpha=\"0.19\", expect_size=\"33743872\"] \n  15 -> 16 [size =\"33743872\"]\n  16 [size=\"78761984\", alpha=\"0.15\", expect_size=\"39380992\"] \n  16 -> 19 [size =\"39380992\"]\n  16 -> 20 [size =\"39380992\"]\n  16 -> 21 [size =\"39380992\"]\n  16 -> 22 [size =\"39380992\"]\n  17 [size=\"85803008\", alpha=\"0.10\", expect_size=\"42901504\"] \n  17 -> 18 [size =\"42901504\"]\n  17 -> 19 [size =\"42901504\"]\n  17 -> 22 [size =\"42901504\"]\n  18 [size=\"28782592\", alpha=\"0.20\", expect_size=\"14391296\"] \n  18 -> 25 [size =\"14391296\"]\n  19 [size=\"61032448\", alpha=\"0.17\", expect_size=\"30516224\"] \n  19 -> 25 [size =\"30516224\"]\n  20 [size=\"48304128\", alpha=\"0.19\", expect_size=\"24152064\"] \n  20 -> 23 [size =\"24152064\"]\n  20 -> 24 [size =\"24152064\"]\n  21 [size=\"15835136\", alpha=\"0.08\", expect_size=\"7917568\"] \n  21 -> 24 [size =\"7917568\"]\n  22 [size=\"73191424\", alpha=\"0.06\", expect_size=\"36595712\"] \n  23 [size=\"69574656\", alpha=\"0.16\", expect_size=\"34787328\"] \n  24 [size=\"56276992\", alpha=\"0.03\", expect_size=\"28138496\"] \n  25 [size=\"77238272\", alpha=\"0.12\", expect_size=\"38619136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86896640\", alpha=\"0.11\", expect_size=\"34758656\"] \n  2 [size=\"40107520\", alpha=\"0.19\", expect_size=\"16043008\"] \n  2 -> 21 [size =\"16043008\"]\n  2 -> 22 [size =\"16043008\"]\n  3 [size=\"79011840\", alpha=\"0.10\", expect_size=\"31604736\"] \n  3 -> 21 [size =\"31604736\"]\n  4 [size=\"92492800\", alpha=\"0.13\", expect_size=\"36997120\"] \n  4 -> 18 [size =\"36997120\"]\n  4 -> 21 [size =\"36997120\"]\n  4 -> 25 [size =\"36997120\"]\n  5 [size=\"116344320\", alpha=\"0.04\", expect_size=\"46537728\"] \n  5 -> 21 [size =\"46537728\"]\n  5 -> 23 [size =\"46537728\"]\n  6 [size=\"58544640\", alpha=\"0.18\", expect_size=\"23417856\"] \n  7 [size=\"112391680\", alpha=\"0.03\", expect_size=\"44956672\"] \n  8 [size=\"17285120\", alpha=\"0.13\", expect_size=\"6914048\"] \n  8 -> 22 [size =\"6914048\"]\n  8 -> 25 [size =\"6914048\"]\n  9 [size=\"35619840\", alpha=\"0.18\", expect_size=\"14247936\"] \n  9 -> 18 [size =\"14247936\"]\n  9 -> 23 [size =\"14247936\"]\n  9 -> 25 [size =\"14247936\"]\n  10 [size=\"82385920\", alpha=\"0.07\", expect_size=\"32954368\"] \n  10 -> 20 [size =\"32954368\"]\n  10 -> 22 [size =\"32954368\"]\n  10 -> 24 [size =\"32954368\"]\n  11 [size=\"49492480\", alpha=\"0.02\", expect_size=\"19796992\"] \n  11 -> 25 [size =\"19796992\"]\n  12 [size=\"116922880\", alpha=\"0.16\", expect_size=\"46769152\"] \n  12 -> 18 [size =\"46769152\"]\n  12 -> 19 [size =\"46769152\"]\n  12 -> 25 [size =\"46769152\"]\n  13 [size=\"111790080\", alpha=\"0.03\", expect_size=\"44716032\"] \n  13 -> 18 [size =\"44716032\"]\n  13 -> 23 [size =\"44716032\"]\n  14 [size=\"54504960\", alpha=\"0.06\", expect_size=\"21801984\"] \n  14 -> 18 [size =\"21801984\"]\n  14 -> 23 [size =\"21801984\"]\n  15 [size=\"130255360\", alpha=\"0.12\", expect_size=\"52102144\"] \n  15 -> 21 [size =\"52102144\"]\n  15 -> 23 [size =\"52102144\"]\n  16 [size=\"36979200\", alpha=\"0.12\", expect_size=\"14791680\"] \n  16 -> 23 [size =\"14791680\"]\n  16 -> 24 [size =\"14791680\"]\n  17 [size=\"25333760\", alpha=\"0.16\", expect_size=\"10133504\"] \n  17 -> 18 [size =\"10133504\"]\n  17 -> 20 [size =\"10133504\"]\n  17 -> 22 [size =\"10133504\"]\n  17 -> 23 [size =\"10133504\"]\n  18 [size=\"42856960\", alpha=\"0.06\", expect_size=\"17142784\"] \n  19 [size=\"120890880\", alpha=\"0.12\", expect_size=\"48356352\"] \n  20 [size=\"111651840\", alpha=\"0.13\", expect_size=\"44660736\"] \n  21 [size=\"36426240\", alpha=\"0.06\", expect_size=\"14570496\"] \n  22 [size=\"47452160\", alpha=\"0.04\", expect_size=\"18980864\"] \n  23 [size=\"22784000\", alpha=\"0.14\", expect_size=\"9113600\"] \n  24 [size=\"39828480\", alpha=\"0.17\", expect_size=\"15931392\"] \n  25 [size=\"76951040\", alpha=\"0.17\", expect_size=\"30780416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65126400\", alpha=\"0.18\", expect_size=\"32563200\"] \n  1 -> 3 [size =\"32563200\"]\n  2 [size=\"79661056\", alpha=\"0.17\", expect_size=\"39830528\"] \n  3 [size=\"63719424\", alpha=\"0.20\", expect_size=\"31859712\"] \n  3 -> 4 [size =\"31859712\"]\n  3 -> 5 [size =\"31859712\"]\n  4 [size=\"70156288\", alpha=\"0.14\", expect_size=\"35078144\"] \n  4 -> 6 [size =\"35078144\"]\n  5 [size=\"21966848\", alpha=\"0.16\", expect_size=\"10983424\"] \n  5 -> 6 [size =\"10983424\"]\n  6 [size=\"84307968\", alpha=\"0.11\", expect_size=\"42153984\"] \n  6 -> 7 [size =\"42153984\"]\n  6 -> 8 [size =\"42153984\"]\n  7 [size=\"25350144\", alpha=\"0.14\", expect_size=\"12675072\"] \n  7 -> 9 [size =\"12675072\"]\n  8 [size=\"65372160\", alpha=\"0.08\", expect_size=\"32686080\"] \n  9 [size=\"68057088\", alpha=\"0.08\", expect_size=\"34028544\"] \n  9 -> 10 [size =\"34028544\"]\n  10 [size=\"66107392\", alpha=\"0.05\", expect_size=\"33053696\"] \n  10 -> 11 [size =\"33053696\"]\n  10 -> 12 [size =\"33053696\"]\n  11 [size=\"36841472\", alpha=\"0.13\", expect_size=\"18420736\"] \n  11 -> 13 [size =\"18420736\"]\n  11 -> 14 [size =\"18420736\"]\n  12 [size=\"27000832\", alpha=\"0.03\", expect_size=\"13500416\"] \n  12 -> 14 [size =\"13500416\"]\n  13 [size=\"11384832\", alpha=\"0.09\", expect_size=\"5692416\"] \n  14 [size=\"10536960\", alpha=\"0.11\", expect_size=\"5268480\"] \n  14 -> 15 [size =\"5268480\"]\n  15 [size=\"74295296\", alpha=\"0.16\", expect_size=\"37147648\"] \n  15 -> 16 [size =\"37147648\"]\n  15 -> 17 [size =\"37147648\"]\n  16 [size=\"55744512\", alpha=\"0.01\", expect_size=\"27872256\"] \n  16 -> 18 [size =\"27872256\"]\n  17 [size=\"12050432\", alpha=\"0.06\", expect_size=\"6025216\"] \n  17 -> 18 [size =\"6025216\"]\n  18 [size=\"79120384\", alpha=\"0.01\", expect_size=\"39560192\"] \n  18 -> 19 [size =\"39560192\"]\n  18 -> 20 [size =\"39560192\"]\n  19 [size=\"20987904\", alpha=\"0.07\", expect_size=\"10493952\"] \n  19 -> 22 [size =\"10493952\"]\n  20 [size=\"57325568\", alpha=\"0.08\", expect_size=\"28662784\"] \n  20 -> 21 [size =\"28662784\"]\n  20 -> 22 [size =\"28662784\"]\n  21 [size=\"80762880\", alpha=\"0.01\", expect_size=\"40381440\"] \n  21 -> 23 [size =\"40381440\"]\n  22 [size=\"49418240\", alpha=\"0.08\", expect_size=\"24709120\"] \n  22 -> 23 [size =\"24709120\"]\n  22 -> 24 [size =\"24709120\"]\n  23 [size=\"64616448\", alpha=\"0.07\", expect_size=\"32308224\"] \n  23 -> 25 [size =\"32308224\"]\n  24 [size=\"12402688\", alpha=\"0.18\", expect_size=\"6201344\"] \n  25 [size=\"65875968\", alpha=\"0.12\", expect_size=\"32937984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41875456\", alpha=\"0.06\", expect_size=\"20937728\"] \n  1 -> 25 [size =\"20937728\"]\n  2 [size=\"67840000\", alpha=\"0.03\", expect_size=\"33920000\"] \n  2 -> 25 [size =\"33920000\"]\n  3 [size=\"36444160\", alpha=\"0.01\", expect_size=\"18222080\"] \n  3 -> 25 [size =\"18222080\"]\n  4 [size=\"40075264\", alpha=\"0.17\", expect_size=\"20037632\"] \n  4 -> 25 [size =\"20037632\"]\n  5 [size=\"89077760\", alpha=\"0.08\", expect_size=\"44538880\"] \n  5 -> 25 [size =\"44538880\"]\n  6 [size=\"51189760\", alpha=\"0.11\", expect_size=\"25594880\"] \n  6 -> 25 [size =\"25594880\"]\n  7 [size=\"21571584\", alpha=\"0.09\", expect_size=\"10785792\"] \n  8 [size=\"10774528\", alpha=\"0.01\", expect_size=\"5387264\"] \n  9 [size=\"58535936\", alpha=\"0.15\", expect_size=\"29267968\"] \n  10 [size=\"40423424\", alpha=\"0.13\", expect_size=\"20211712\"] \n  11 [size=\"27953152\", alpha=\"0.13\", expect_size=\"13976576\"] \n  12 [size=\"56367104\", alpha=\"0.16\", expect_size=\"28183552\"] \n  12 -> 25 [size =\"28183552\"]\n  13 [size=\"68519936\", alpha=\"0.19\", expect_size=\"34259968\"] \n  13 -> 25 [size =\"34259968\"]\n  14 [size=\"72591360\", alpha=\"0.15\", expect_size=\"36295680\"] \n  15 [size=\"57358336\", alpha=\"0.07\", expect_size=\"28679168\"] \n  15 -> 25 [size =\"28679168\"]\n  16 [size=\"97316864\", alpha=\"0.12\", expect_size=\"48658432\"] \n  16 -> 25 [size =\"48658432\"]\n  17 [size=\"53387264\", alpha=\"0.01\", expect_size=\"26693632\"] \n  17 -> 25 [size =\"26693632\"]\n  18 [size=\"95246336\", alpha=\"0.19\", expect_size=\"47623168\"] \n  18 -> 25 [size =\"47623168\"]\n  19 [size=\"100923392\", alpha=\"0.10\", expect_size=\"50461696\"] \n  20 [size=\"79271936\", alpha=\"0.00\", expect_size=\"39635968\"] \n  21 [size=\"45447168\", alpha=\"0.17\", expect_size=\"22723584\"] \n  22 [size=\"12386304\", alpha=\"0.06\", expect_size=\"6193152\"] \n  23 [size=\"86673408\", alpha=\"0.00\", expect_size=\"43336704\"] \n  23 -> 25 [size =\"43336704\"]\n  24 [size=\"84303872\", alpha=\"0.01\", expect_size=\"42151936\"] \n  24 -> 25 [size =\"42151936\"]\n  25 [size=\"60248064\", alpha=\"0.18\", expect_size=\"30124032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89958400\", alpha=\"0.01\", expect_size=\"35983360\"] \n  1 -> 10 [size =\"35983360\"]\n  1 -> 11 [size =\"35983360\"]\n  1 -> 12 [size =\"35983360\"]\n  1 -> 13 [size =\"35983360\"]\n  1 -> 15 [size =\"35983360\"]\n  2 [size=\"114944000\", alpha=\"0.08\", expect_size=\"45977600\"] \n  2 -> 10 [size =\"45977600\"]\n  2 -> 11 [size =\"45977600\"]\n  2 -> 16 [size =\"45977600\"]\n  2 -> 17 [size =\"45977600\"]\n  3 [size=\"114734080\", alpha=\"0.13\", expect_size=\"45893632\"] \n  3 -> 10 [size =\"45893632\"]\n  3 -> 11 [size =\"45893632\"]\n  3 -> 18 [size =\"45893632\"]\n  4 [size=\"22315520\", alpha=\"0.06\", expect_size=\"8926208\"] \n  4 -> 10 [size =\"8926208\"]\n  4 -> 11 [size =\"8926208\"]\n  4 -> 13 [size =\"8926208\"]\n  4 -> 15 [size =\"8926208\"]\n  4 -> 17 [size =\"8926208\"]\n  5 [size=\"74549760\", alpha=\"0.09\", expect_size=\"29819904\"] \n  5 -> 10 [size =\"29819904\"]\n  5 -> 11 [size =\"29819904\"]\n  5 -> 12 [size =\"29819904\"]\n  5 -> 13 [size =\"29819904\"]\n  5 -> 16 [size =\"29819904\"]\n  5 -> 18 [size =\"29819904\"]\n  6 [size=\"90954240\", alpha=\"0.15\", expect_size=\"36381696\"] \n  6 -> 10 [size =\"36381696\"]\n  6 -> 11 [size =\"36381696\"]\n  6 -> 13 [size =\"36381696\"]\n  6 -> 16 [size =\"36381696\"]\n  6 -> 16 [size =\"36381696\"]\n  6 -> 17 [size =\"36381696\"]\n  7 [size=\"17994240\", alpha=\"0.15\", expect_size=\"7197696\"] \n  7 -> 11 [size =\"7197696\"]\n  7 -> 12 [size =\"7197696\"]\n  7 -> 16 [size =\"7197696\"]\n  7 -> 16 [size =\"7197696\"]\n  7 -> 17 [size =\"7197696\"]\n  8 [size=\"60021760\", alpha=\"0.19\", expect_size=\"24008704\"] \n  8 -> 10 [size =\"24008704\"]\n  8 -> 12 [size =\"24008704\"]\n  8 -> 14 [size =\"24008704\"]\n  8 -> 15 [size =\"24008704\"]\n  8 -> 16 [size =\"24008704\"]\n  8 -> 17 [size =\"24008704\"]\n  9 [size=\"65464320\", alpha=\"0.19\", expect_size=\"26185728\"] \n  9 -> 11 [size =\"26185728\"]\n  9 -> 12 [size =\"26185728\"]\n  9 -> 13 [size =\"26185728\"]\n  9 -> 15 [size =\"26185728\"]\n  9 -> 17 [size =\"26185728\"]\n  9 -> 18 [size =\"26185728\"]\n  10 [size=\"101713920\", alpha=\"0.13\", expect_size=\"40685568\"] \n  10 -> 20 [size =\"40685568\"]\n  10 -> 23 [size =\"40685568\"]\n  10 -> 24 [size =\"40685568\"]\n  11 [size=\"35752960\", alpha=\"0.07\", expect_size=\"14301184\"] \n  11 -> 20 [size =\"14301184\"]\n  11 -> 23 [size =\"14301184\"]\n  11 -> 24 [size =\"14301184\"]\n  11 -> 25 [size =\"14301184\"]\n  12 [size=\"41994240\", alpha=\"0.11\", expect_size=\"16797696\"] \n  12 -> 19 [size =\"16797696\"]\n  12 -> 21 [size =\"16797696\"]\n  12 -> 22 [size =\"16797696\"]\n  12 -> 24 [size =\"16797696\"]\n  12 -> 25 [size =\"16797696\"]\n  13 [size=\"88038400\", alpha=\"0.02\", expect_size=\"35215360\"] \n  13 -> 22 [size =\"35215360\"]\n  13 -> 23 [size =\"35215360\"]\n  13 -> 24 [size =\"35215360\"]\n  13 -> 25 [size =\"35215360\"]\n  13 -> 25 [size =\"35215360\"]\n  14 [size=\"45867520\", alpha=\"0.01\", expect_size=\"18347008\"] \n  14 -> 19 [size =\"18347008\"]\n  14 -> 23 [size =\"18347008\"]\n  14 -> 24 [size =\"18347008\"]\n  14 -> 25 [size =\"18347008\"]\n  15 [size=\"83883520\", alpha=\"0.07\", expect_size=\"33553408\"] \n  15 -> 19 [size =\"33553408\"]\n  15 -> 20 [size =\"33553408\"]\n  15 -> 21 [size =\"33553408\"]\n  15 -> 23 [size =\"33553408\"]\n  15 -> 24 [size =\"33553408\"]\n  15 -> 25 [size =\"33553408\"]\n  16 [size=\"21058560\", alpha=\"0.15\", expect_size=\"8423424\"] \n  16 -> 20 [size =\"8423424\"]\n  16 -> 20 [size =\"8423424\"]\n  16 -> 21 [size =\"8423424\"]\n  16 -> 23 [size =\"8423424\"]\n  17 [size=\"112048640\", alpha=\"0.02\", expect_size=\"44819456\"] \n  17 -> 20 [size =\"44819456\"]\n  17 -> 25 [size =\"44819456\"]\n  18 [size=\"83307520\", alpha=\"0.12\", expect_size=\"33323008\"] \n  18 -> 20 [size =\"33323008\"]\n  18 -> 23 [size =\"33323008\"]\n  18 -> 24 [size =\"33323008\"]\n  19 [size=\"76467200\", alpha=\"0.12\", expect_size=\"30586880\"] \n  20 [size=\"71859200\", alpha=\"0.03\", expect_size=\"28743680\"] \n  21 [size=\"31536640\", alpha=\"0.07\", expect_size=\"12614656\"] \n  22 [size=\"70609920\", alpha=\"0.09\", expect_size=\"28243968\"] \n  23 [size=\"18071040\", alpha=\"0.08\", expect_size=\"7228416\"] \n  24 [size=\"32486400\", alpha=\"0.08\", expect_size=\"12994560\"] \n  25 [size=\"40842240\", alpha=\"0.19\", expect_size=\"16336896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50224640\", alpha=\"0.01\", expect_size=\"20089856\"] \n  1 -> 5 [size =\"20089856\"]\n  1 -> 6 [size =\"20089856\"]\n  2 [size=\"23475200\", alpha=\"0.08\", expect_size=\"9390080\"] \n  2 -> 5 [size =\"9390080\"]\n  2 -> 6 [size =\"9390080\"]\n  2 -> 7 [size =\"9390080\"]\n  3 [size=\"19466240\", alpha=\"0.19\", expect_size=\"7786496\"] \n  3 -> 5 [size =\"7786496\"]\n  3 -> 6 [size =\"7786496\"]\n  3 -> 7 [size =\"7786496\"]\n  4 [size=\"90920960\", alpha=\"0.01\", expect_size=\"36368384\"] \n  4 -> 5 [size =\"36368384\"]\n  4 -> 7 [size =\"36368384\"]\n  5 [size=\"35937280\", alpha=\"0.13\", expect_size=\"14374912\"] \n  5 -> 10 [size =\"14374912\"]\n  5 -> 11 [size =\"14374912\"]\n  6 [size=\"44802560\", alpha=\"0.17\", expect_size=\"17921024\"] \n  6 -> 8 [size =\"17921024\"]\n  6 -> 9 [size =\"17921024\"]\n  6 -> 11 [size =\"17921024\"]\n  7 [size=\"71354880\", alpha=\"0.07\", expect_size=\"28541952\"] \n  7 -> 11 [size =\"28541952\"]\n  8 [size=\"90967040\", alpha=\"0.10\", expect_size=\"36386816\"] \n  8 -> 14 [size =\"36386816\"]\n  9 [size=\"68303360\", alpha=\"0.01\", expect_size=\"27321344\"] \n  9 -> 12 [size =\"27321344\"]\n  9 -> 13 [size =\"27321344\"]\n  9 -> 15 [size =\"27321344\"]\n  10 [size=\"43814400\", alpha=\"0.01\", expect_size=\"17525760\"] \n  10 -> 13 [size =\"17525760\"]\n  10 -> 14 [size =\"17525760\"]\n  11 [size=\"112957440\", alpha=\"0.11\", expect_size=\"45182976\"] \n  11 -> 13 [size =\"45182976\"]\n  11 -> 14 [size =\"45182976\"]\n  11 -> 15 [size =\"45182976\"]\n  12 [size=\"116705280\", alpha=\"0.20\", expect_size=\"46682112\"] \n  12 -> 17 [size =\"46682112\"]\n  12 -> 18 [size =\"46682112\"]\n  12 -> 18 [size =\"46682112\"]\n  13 [size=\"43768320\", alpha=\"0.06\", expect_size=\"17507328\"] \n  13 -> 17 [size =\"17507328\"]\n  14 [size=\"36848640\", alpha=\"0.16\", expect_size=\"14739456\"] \n  14 -> 16 [size =\"14739456\"]\n  14 -> 17 [size =\"14739456\"]\n  14 -> 18 [size =\"14739456\"]\n  15 [size=\"42488320\", alpha=\"0.04\", expect_size=\"16995328\"] \n  15 -> 16 [size =\"16995328\"]\n  15 -> 17 [size =\"16995328\"]\n  15 -> 18 [size =\"16995328\"]\n  16 [size=\"119357440\", alpha=\"0.14\", expect_size=\"47742976\"] \n  16 -> 19 [size =\"47742976\"]\n  16 -> 20 [size =\"47742976\"]\n  16 -> 22 [size =\"47742976\"]\n  17 [size=\"102720000\", alpha=\"0.12\", expect_size=\"41088000\"] \n  17 -> 19 [size =\"41088000\"]\n  17 -> 20 [size =\"41088000\"]\n  18 [size=\"24537600\", alpha=\"0.14\", expect_size=\"9815040\"] \n  18 -> 20 [size =\"9815040\"]\n  18 -> 21 [size =\"9815040\"]\n  18 -> 22 [size =\"9815040\"]\n  19 [size=\"81863680\", alpha=\"0.16\", expect_size=\"32745472\"] \n  19 -> 24 [size =\"32745472\"]\n  19 -> 25 [size =\"32745472\"]\n  20 [size=\"85701120\", alpha=\"0.19\", expect_size=\"34280448\"] \n  21 [size=\"88957440\", alpha=\"0.08\", expect_size=\"35582976\"] \n  21 -> 23 [size =\"35582976\"]\n  21 -> 24 [size =\"35582976\"]\n  22 [size=\"33464320\", alpha=\"0.20\", expect_size=\"13385728\"] \n  22 -> 24 [size =\"13385728\"]\n  22 -> 25 [size =\"13385728\"]\n  23 [size=\"33077760\", alpha=\"0.12\", expect_size=\"13231104\"] \n  24 [size=\"68853760\", alpha=\"0.17\", expect_size=\"27541504\"] \n  25 [size=\"45329920\", alpha=\"0.07\", expect_size=\"18131968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26368000\", alpha=\"0.12\", expect_size=\"10547200\"] \n  1 -> 5 [size =\"10547200\"]\n  1 -> 6 [size =\"10547200\"]\n  2 [size=\"106352640\", alpha=\"0.03\", expect_size=\"42541056\"] \n  2 -> 4 [size =\"42541056\"]\n  2 -> 6 [size =\"42541056\"]\n  3 [size=\"106224640\", alpha=\"0.01\", expect_size=\"42489856\"] \n  3 -> 5 [size =\"42489856\"]\n  3 -> 6 [size =\"42489856\"]\n  4 [size=\"75112960\", alpha=\"0.00\", expect_size=\"30045184\"] \n  4 -> 8 [size =\"30045184\"]\n  4 -> 9 [size =\"30045184\"]\n  4 -> 10 [size =\"30045184\"]\n  5 [size=\"79472640\", alpha=\"0.04\", expect_size=\"31789056\"] \n  5 -> 7 [size =\"31789056\"]\n  5 -> 8 [size =\"31789056\"]\n  5 -> 10 [size =\"31789056\"]\n  6 [size=\"41827840\", alpha=\"0.09\", expect_size=\"16731136\"] \n  6 -> 8 [size =\"16731136\"]\n  7 [size=\"46707200\", alpha=\"0.17\", expect_size=\"18682880\"] \n  7 -> 11 [size =\"18682880\"]\n  7 -> 13 [size =\"18682880\"]\n  8 [size=\"39234560\", alpha=\"0.18\", expect_size=\"15693824\"] \n  8 -> 11 [size =\"15693824\"]\n  9 [size=\"80683520\", alpha=\"0.06\", expect_size=\"32273408\"] \n  9 -> 11 [size =\"32273408\"]\n  9 -> 12 [size =\"32273408\"]\n  10 [size=\"70236160\", alpha=\"0.02\", expect_size=\"28094464\"] \n  10 -> 11 [size =\"28094464\"]\n  10 -> 13 [size =\"28094464\"]\n  11 [size=\"59189760\", alpha=\"0.16\", expect_size=\"23675904\"] \n  11 -> 14 [size =\"23675904\"]\n  11 -> 15 [size =\"23675904\"]\n  11 -> 16 [size =\"23675904\"]\n  11 -> 17 [size =\"23675904\"]\n  12 [size=\"131020800\", alpha=\"0.10\", expect_size=\"52408320\"] \n  12 -> 16 [size =\"52408320\"]\n  12 -> 17 [size =\"52408320\"]\n  13 [size=\"31936000\", alpha=\"0.17\", expect_size=\"12774400\"] \n  13 -> 16 [size =\"12774400\"]\n  13 -> 17 [size =\"12774400\"]\n  14 [size=\"35002880\", alpha=\"0.06\", expect_size=\"14001152\"] \n  14 -> 20 [size =\"14001152\"]\n  15 [size=\"37483520\", alpha=\"0.11\", expect_size=\"14993408\"] \n  15 -> 19 [size =\"14993408\"]\n  16 [size=\"58580480\", alpha=\"0.08\", expect_size=\"23432192\"] \n  16 -> 18 [size =\"23432192\"]\n  16 -> 19 [size =\"23432192\"]\n  16 -> 20 [size =\"23432192\"]\n  17 [size=\"112573440\", alpha=\"0.02\", expect_size=\"45029376\"] \n  17 -> 18 [size =\"45029376\"]\n  17 -> 19 [size =\"45029376\"]\n  17 -> 20 [size =\"45029376\"]\n  18 [size=\"95024640\", alpha=\"0.07\", expect_size=\"38009856\"] \n  18 -> 21 [size =\"38009856\"]\n  18 -> 22 [size =\"38009856\"]\n  18 -> 23 [size =\"38009856\"]\n  18 -> 24 [size =\"38009856\"]\n  19 [size=\"80476160\", alpha=\"0.04\", expect_size=\"32190464\"] \n  19 -> 21 [size =\"32190464\"]\n  19 -> 23 [size =\"32190464\"]\n  19 -> 24 [size =\"32190464\"]\n  20 [size=\"117061120\", alpha=\"0.10\", expect_size=\"46824448\"] \n  20 -> 24 [size =\"46824448\"]\n  21 [size=\"13150720\", alpha=\"0.18\", expect_size=\"5260288\"] \n  21 -> 25 [size =\"5260288\"]\n  22 [size=\"110000640\", alpha=\"0.03\", expect_size=\"44000256\"] \n  22 -> 25 [size =\"44000256\"]\n  23 [size=\"51735040\", alpha=\"0.02\", expect_size=\"20694016\"] \n  23 -> 25 [size =\"20694016\"]\n  24 [size=\"36075520\", alpha=\"0.13\", expect_size=\"14430208\"] \n  25 [size=\"71703040\", alpha=\"0.15\", expect_size=\"28681216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81584128\", alpha=\"0.16\", expect_size=\"40792064\"] \n  1 -> 18 [size =\"40792064\"]\n  1 -> 20 [size =\"40792064\"]\n  1 -> 22 [size =\"40792064\"]\n  1 -> 24 [size =\"40792064\"]\n  2 [size=\"45774848\", alpha=\"0.20\", expect_size=\"22887424\"] \n  2 -> 17 [size =\"22887424\"]\n  2 -> 20 [size =\"22887424\"]\n  2 -> 21 [size =\"22887424\"]\n  2 -> 22 [size =\"22887424\"]\n  3 [size=\"78309376\", alpha=\"0.12\", expect_size=\"39154688\"] \n  3 -> 23 [size =\"39154688\"]\n  3 -> 25 [size =\"39154688\"]\n  4 [size=\"67919872\", alpha=\"0.05\", expect_size=\"33959936\"] \n  5 [size=\"82753536\", alpha=\"0.08\", expect_size=\"41376768\"] \n  5 -> 21 [size =\"41376768\"]\n  6 [size=\"62011392\", alpha=\"0.17\", expect_size=\"31005696\"] \n  6 -> 17 [size =\"31005696\"]\n  6 -> 20 [size =\"31005696\"]\n  6 -> 21 [size =\"31005696\"]\n  6 -> 24 [size =\"31005696\"]\n  7 [size=\"76308480\", alpha=\"0.11\", expect_size=\"38154240\"] \n  7 -> 20 [size =\"38154240\"]\n  8 [size=\"55209984\", alpha=\"0.08\", expect_size=\"27604992\"] \n  8 -> 16 [size =\"27604992\"]\n  9 [size=\"28434432\", alpha=\"0.00\", expect_size=\"14217216\"] \n  10 [size=\"41830400\", alpha=\"0.05\", expect_size=\"20915200\"] \n  10 -> 21 [size =\"20915200\"]\n  10 -> 25 [size =\"20915200\"]\n  11 [size=\"11077632\", alpha=\"0.07\", expect_size=\"5538816\"] \n  12 [size=\"84256768\", alpha=\"0.07\", expect_size=\"42128384\"] \n  12 -> 20 [size =\"42128384\"]\n  13 [size=\"83464192\", alpha=\"0.14\", expect_size=\"41732096\"] \n  13 -> 19 [size =\"41732096\"]\n  13 -> 21 [size =\"41732096\"]\n  13 -> 24 [size =\"41732096\"]\n  14 [size=\"47802368\", alpha=\"0.04\", expect_size=\"23901184\"] \n  15 [size=\"72036352\", alpha=\"0.10\", expect_size=\"36018176\"] \n  15 -> 20 [size =\"36018176\"]\n  15 -> 24 [size =\"36018176\"]\n  15 -> 25 [size =\"36018176\"]\n  16 [size=\"13637632\", alpha=\"0.06\", expect_size=\"6818816\"] \n  17 [size=\"92456960\", alpha=\"0.03\", expect_size=\"46228480\"] \n  18 [size=\"52183040\", alpha=\"0.08\", expect_size=\"26091520\"] \n  19 [size=\"90222592\", alpha=\"0.00\", expect_size=\"45111296\"] \n  20 [size=\"92170240\", alpha=\"0.19\", expect_size=\"46085120\"] \n  21 [size=\"22327296\", alpha=\"0.13\", expect_size=\"11163648\"] \n  22 [size=\"53485568\", alpha=\"0.14\", expect_size=\"26742784\"] \n  23 [size=\"87187456\", alpha=\"0.10\", expect_size=\"43593728\"] \n  24 [size=\"61097984\", alpha=\"0.17\", expect_size=\"30548992\"] \n  25 [size=\"80488448\", alpha=\"0.01\", expect_size=\"40244224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76105728\", alpha=\"0.11\", expect_size=\"38052864\"] \n  1 -> 3 [size =\"38052864\"]\n  1 -> 4 [size =\"38052864\"]\n  2 [size=\"29583360\", alpha=\"0.07\", expect_size=\"14791680\"] \n  2 -> 4 [size =\"14791680\"]\n  3 [size=\"54929408\", alpha=\"0.04\", expect_size=\"27464704\"] \n  3 -> 5 [size =\"27464704\"]\n  4 [size=\"32069632\", alpha=\"0.12\", expect_size=\"16034816\"] \n  4 -> 5 [size =\"16034816\"]\n  5 [size=\"57686016\", alpha=\"0.09\", expect_size=\"28843008\"] \n  5 -> 6 [size =\"28843008\"]\n  6 [size=\"26447872\", alpha=\"0.19\", expect_size=\"13223936\"] \n  6 -> 7 [size =\"13223936\"]\n  6 -> 8 [size =\"13223936\"]\n  7 [size=\"60299264\", alpha=\"0.12\", expect_size=\"30149632\"] \n  7 -> 9 [size =\"30149632\"]\n  8 [size=\"90075136\", alpha=\"0.04\", expect_size=\"45037568\"] \n  8 -> 9 [size =\"45037568\"]\n  9 [size=\"73988096\", alpha=\"0.17\", expect_size=\"36994048\"] \n  9 -> 10 [size =\"36994048\"]\n  9 -> 11 [size =\"36994048\"]\n  10 [size=\"67584000\", alpha=\"0.04\", expect_size=\"33792000\"] \n  10 -> 12 [size =\"33792000\"]\n  10 -> 13 [size =\"33792000\"]\n  11 [size=\"91049984\", alpha=\"0.19\", expect_size=\"45524992\"] \n  11 -> 12 [size =\"45524992\"]\n  11 -> 13 [size =\"45524992\"]\n  12 [size=\"50857984\", alpha=\"0.02\", expect_size=\"25428992\"] \n  12 -> 15 [size =\"25428992\"]\n  13 [size=\"83105792\", alpha=\"0.02\", expect_size=\"41552896\"] \n  13 -> 14 [size =\"41552896\"]\n  13 -> 15 [size =\"41552896\"]\n  14 [size=\"103456768\", alpha=\"0.19\", expect_size=\"51728384\"] \n  14 -> 16 [size =\"51728384\"]\n  14 -> 17 [size =\"51728384\"]\n  15 [size=\"66578432\", alpha=\"0.03\", expect_size=\"33289216\"] \n  15 -> 16 [size =\"33289216\"]\n  15 -> 17 [size =\"33289216\"]\n  16 [size=\"15562752\", alpha=\"0.06\", expect_size=\"7781376\"] \n  16 -> 18 [size =\"7781376\"]\n  16 -> 19 [size =\"7781376\"]\n  17 [size=\"11778048\", alpha=\"0.14\", expect_size=\"5889024\"] \n  17 -> 19 [size =\"5889024\"]\n  18 [size=\"68759552\", alpha=\"0.17\", expect_size=\"34379776\"] \n  18 -> 20 [size =\"34379776\"]\n  19 [size=\"86315008\", alpha=\"0.10\", expect_size=\"43157504\"] \n  19 -> 20 [size =\"43157504\"]\n  19 -> 21 [size =\"43157504\"]\n  20 [size=\"70084608\", alpha=\"0.19\", expect_size=\"35042304\"] \n  20 -> 22 [size =\"35042304\"]\n  20 -> 23 [size =\"35042304\"]\n  21 [size=\"87982080\", alpha=\"0.02\", expect_size=\"43991040\"] \n  21 -> 22 [size =\"43991040\"]\n  21 -> 23 [size =\"43991040\"]\n  22 [size=\"81928192\", alpha=\"0.09\", expect_size=\"40964096\"] \n  22 -> 24 [size =\"40964096\"]\n  23 [size=\"91099136\", alpha=\"0.06\", expect_size=\"45549568\"] \n  23 -> 24 [size =\"45549568\"]\n  24 [size=\"98582528\", alpha=\"0.07\", expect_size=\"49291264\"] \n  24 -> 25 [size =\"49291264\"]\n  25 [size=\"93409280\", alpha=\"0.18\", expect_size=\"46704640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99223552\", alpha=\"0.12\", expect_size=\"49611776\"] \n  1 -> 3 [size =\"49611776\"]\n  1 -> 4 [size =\"49611776\"]\n  2 [size=\"87980032\", alpha=\"0.19\", expect_size=\"43990016\"] \n  2 -> 3 [size =\"43990016\"]\n  2 -> 4 [size =\"43990016\"]\n  3 [size=\"79497216\", alpha=\"0.15\", expect_size=\"39748608\"] \n  3 -> 5 [size =\"39748608\"]\n  3 -> 6 [size =\"39748608\"]\n  4 [size=\"101636096\", alpha=\"0.02\", expect_size=\"50818048\"] \n  4 -> 6 [size =\"50818048\"]\n  5 [size=\"25546752\", alpha=\"0.01\", expect_size=\"12773376\"] \n  5 -> 8 [size =\"12773376\"]\n  6 [size=\"84162560\", alpha=\"0.16\", expect_size=\"42081280\"] \n  6 -> 7 [size =\"42081280\"]\n  6 -> 8 [size =\"42081280\"]\n  7 [size=\"75544576\", alpha=\"0.15\", expect_size=\"37772288\"] \n  7 -> 9 [size =\"37772288\"]\n  7 -> 10 [size =\"37772288\"]\n  8 [size=\"96227328\", alpha=\"0.18\", expect_size=\"48113664\"] \n  9 [size=\"68114432\", alpha=\"0.10\", expect_size=\"34057216\"] \n  9 -> 11 [size =\"34057216\"]\n  10 [size=\"28094464\", alpha=\"0.06\", expect_size=\"14047232\"] \n  11 [size=\"75339776\", alpha=\"0.17\", expect_size=\"37669888\"] \n  11 -> 12 [size =\"37669888\"]\n  11 -> 13 [size =\"37669888\"]\n  12 [size=\"37726208\", alpha=\"0.13\", expect_size=\"18863104\"] \n  12 -> 14 [size =\"18863104\"]\n  13 [size=\"34496512\", alpha=\"0.00\", expect_size=\"17248256\"] \n  13 -> 14 [size =\"17248256\"]\n  14 [size=\"12304384\", alpha=\"0.14\", expect_size=\"6152192\"] \n  14 -> 15 [size =\"6152192\"]\n  14 -> 16 [size =\"6152192\"]\n  15 [size=\"20963328\", alpha=\"0.05\", expect_size=\"10481664\"] \n  15 -> 17 [size =\"10481664\"]\n  16 [size=\"25282560\", alpha=\"0.17\", expect_size=\"12641280\"] \n  16 -> 17 [size =\"12641280\"]\n  17 [size=\"98433024\", alpha=\"0.20\", expect_size=\"49216512\"] \n  17 -> 18 [size =\"49216512\"]\n  17 -> 19 [size =\"49216512\"]\n  18 [size=\"74135552\", alpha=\"0.02\", expect_size=\"37067776\"] \n  18 -> 21 [size =\"37067776\"]\n  19 [size=\"64051200\", alpha=\"0.14\", expect_size=\"32025600\"] \n  19 -> 20 [size =\"32025600\"]\n  20 [size=\"15341568\", alpha=\"0.12\", expect_size=\"7670784\"] \n  21 [size=\"45283328\", alpha=\"0.09\", expect_size=\"22641664\"] \n  21 -> 22 [size =\"22641664\"]\n  22 [size=\"28901376\", alpha=\"0.03\", expect_size=\"14450688\"] \n  22 -> 23 [size =\"14450688\"]\n  22 -> 24 [size =\"14450688\"]\n  23 [size=\"92278784\", alpha=\"0.11\", expect_size=\"46139392\"] \n  23 -> 25 [size =\"46139392\"]\n  24 [size=\"93661184\", alpha=\"0.19\", expect_size=\"46830592\"] \n  24 -> 25 [size =\"46830592\"]\n  25 [size=\"64888832\", alpha=\"0.10\", expect_size=\"32444416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90736640\", alpha=\"0.15\", expect_size=\"45368320\"] \n  1 -> 11 [size =\"45368320\"]\n  1 -> 12 [size =\"45368320\"]\n  1 -> 16 [size =\"45368320\"]\n  2 [size=\"54906880\", alpha=\"0.09\", expect_size=\"27453440\"] \n  2 -> 12 [size =\"27453440\"]\n  2 -> 12 [size =\"27453440\"]\n  2 -> 14 [size =\"27453440\"]\n  2 -> 15 [size =\"27453440\"]\n  2 -> 16 [size =\"27453440\"]\n  2 -> 17 [size =\"27453440\"]\n  3 [size=\"29806592\", alpha=\"0.05\", expect_size=\"14903296\"] \n  3 -> 10 [size =\"14903296\"]\n  3 -> 13 [size =\"14903296\"]\n  3 -> 16 [size =\"14903296\"]\n  3 -> 17 [size =\"14903296\"]\n  4 [size=\"65865728\", alpha=\"0.15\", expect_size=\"32932864\"] \n  4 -> 10 [size =\"32932864\"]\n  4 -> 11 [size =\"32932864\"]\n  4 -> 13 [size =\"32932864\"]\n  4 -> 14 [size =\"32932864\"]\n  4 -> 15 [size =\"32932864\"]\n  5 [size=\"68231168\", alpha=\"0.02\", expect_size=\"34115584\"] \n  5 -> 10 [size =\"34115584\"]\n  5 -> 11 [size =\"34115584\"]\n  5 -> 12 [size =\"34115584\"]\n  5 -> 13 [size =\"34115584\"]\n  5 -> 14 [size =\"34115584\"]\n  5 -> 16 [size =\"34115584\"]\n  6 [size=\"18601984\", alpha=\"0.20\", expect_size=\"9300992\"] \n  6 -> 10 [size =\"9300992\"]\n  6 -> 11 [size =\"9300992\"]\n  6 -> 13 [size =\"9300992\"]\n  6 -> 14 [size =\"9300992\"]\n  6 -> 16 [size =\"9300992\"]\n  7 [size=\"17711104\", alpha=\"0.09\", expect_size=\"8855552\"] \n  7 -> 10 [size =\"8855552\"]\n  7 -> 11 [size =\"8855552\"]\n  7 -> 12 [size =\"8855552\"]\n  7 -> 14 [size =\"8855552\"]\n  8 [size=\"27953152\", alpha=\"0.11\", expect_size=\"13976576\"] \n  8 -> 13 [size =\"13976576\"]\n  8 -> 16 [size =\"13976576\"]\n  9 [size=\"47149056\", alpha=\"0.02\", expect_size=\"23574528\"] \n  9 -> 11 [size =\"23574528\"]\n  9 -> 16 [size =\"23574528\"]\n  10 [size=\"95307776\", alpha=\"0.08\", expect_size=\"47653888\"] \n  10 -> 18 [size =\"47653888\"]\n  10 -> 20 [size =\"47653888\"]\n  10 -> 21 [size =\"47653888\"]\n  10 -> 24 [size =\"47653888\"]\n  11 [size=\"44765184\", alpha=\"0.09\", expect_size=\"22382592\"] \n  11 -> 20 [size =\"22382592\"]\n  11 -> 20 [size =\"22382592\"]\n  11 -> 21 [size =\"22382592\"]\n  11 -> 24 [size =\"22382592\"]\n  12 [size=\"21909504\", alpha=\"0.12\", expect_size=\"10954752\"] \n  12 -> 18 [size =\"10954752\"]\n  12 -> 19 [size =\"10954752\"]\n  12 -> 20 [size =\"10954752\"]\n  12 -> 23 [size =\"10954752\"]\n  12 -> 24 [size =\"10954752\"]\n  13 [size=\"63569920\", alpha=\"0.05\", expect_size=\"31784960\"] \n  13 -> 20 [size =\"31784960\"]\n  13 -> 24 [size =\"31784960\"]\n  14 [size=\"87842816\", alpha=\"0.05\", expect_size=\"43921408\"] \n  14 -> 20 [size =\"43921408\"]\n  14 -> 21 [size =\"43921408\"]\n  14 -> 23 [size =\"43921408\"]\n  14 -> 24 [size =\"43921408\"]\n  14 -> 25 [size =\"43921408\"]\n  15 [size=\"62693376\", alpha=\"0.17\", expect_size=\"31346688\"] \n  15 -> 18 [size =\"31346688\"]\n  15 -> 21 [size =\"31346688\"]\n  15 -> 22 [size =\"31346688\"]\n  15 -> 23 [size =\"31346688\"]\n  15 -> 24 [size =\"31346688\"]\n  16 [size=\"72577024\", alpha=\"0.16\", expect_size=\"36288512\"] \n  16 -> 18 [size =\"36288512\"]\n  16 -> 19 [size =\"36288512\"]\n  16 -> 20 [size =\"36288512\"]\n  16 -> 21 [size =\"36288512\"]\n  16 -> 24 [size =\"36288512\"]\n  17 [size=\"71536640\", alpha=\"0.14\", expect_size=\"35768320\"] \n  17 -> 18 [size =\"35768320\"]\n  17 -> 21 [size =\"35768320\"]\n  17 -> 23 [size =\"35768320\"]\n  18 [size=\"20656128\", alpha=\"0.10\", expect_size=\"10328064\"] \n  19 [size=\"70881280\", alpha=\"0.18\", expect_size=\"35440640\"] \n  20 [size=\"79464448\", alpha=\"0.20\", expect_size=\"39732224\"] \n  21 [size=\"24530944\", alpha=\"0.18\", expect_size=\"12265472\"] \n  22 [size=\"65112064\", alpha=\"0.06\", expect_size=\"32556032\"] \n  23 [size=\"27578368\", alpha=\"0.17\", expect_size=\"13789184\"] \n  24 [size=\"52383744\", alpha=\"0.01\", expect_size=\"26191872\"] \n  25 [size=\"73836544\", alpha=\"0.17\", expect_size=\"36918272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128670720\", alpha=\"0.20\", expect_size=\"51468288\"] \n  1 -> 3 [size =\"51468288\"]\n  2 [size=\"50475520\", alpha=\"0.14\", expect_size=\"20190208\"] \n  2 -> 3 [size =\"20190208\"]\n  2 -> 4 [size =\"20190208\"]\n  3 [size=\"48814080\", alpha=\"0.13\", expect_size=\"19525632\"] \n  3 -> 5 [size =\"19525632\"]\n  4 [size=\"106752000\", alpha=\"0.16\", expect_size=\"42700800\"] \n  5 [size=\"83115520\", alpha=\"0.13\", expect_size=\"33246208\"] \n  5 -> 6 [size =\"33246208\"]\n  5 -> 7 [size =\"33246208\"]\n  6 [size=\"70451200\", alpha=\"0.14\", expect_size=\"28180480\"] \n  7 [size=\"69806080\", alpha=\"0.09\", expect_size=\"27922432\"] \n  7 -> 8 [size =\"27922432\"]\n  7 -> 9 [size =\"27922432\"]\n  8 [size=\"34114560\", alpha=\"0.10\", expect_size=\"13645824\"] \n  8 -> 10 [size =\"13645824\"]\n  8 -> 11 [size =\"13645824\"]\n  9 [size=\"78894080\", alpha=\"0.11\", expect_size=\"31557632\"] \n  10 [size=\"66624000\", alpha=\"0.16\", expect_size=\"26649600\"] \n  10 -> 12 [size =\"26649600\"]\n  10 -> 13 [size =\"26649600\"]\n  11 [size=\"130196480\", alpha=\"0.19\", expect_size=\"52078592\"] \n  11 -> 12 [size =\"52078592\"]\n  12 [size=\"128035840\", alpha=\"0.12\", expect_size=\"51214336\"] \n  13 [size=\"92172800\", alpha=\"0.16\", expect_size=\"36869120\"] \n  13 -> 14 [size =\"36869120\"]\n  14 [size=\"51742720\", alpha=\"0.15\", expect_size=\"20697088\"] \n  14 -> 15 [size =\"20697088\"]\n  15 [size=\"27540480\", alpha=\"0.20\", expect_size=\"11016192\"] \n  15 -> 16 [size =\"11016192\"]\n  16 [size=\"104094720\", alpha=\"0.18\", expect_size=\"41637888\"] \n  16 -> 17 [size =\"41637888\"]\n  16 -> 18 [size =\"41637888\"]\n  17 [size=\"71285760\", alpha=\"0.13\", expect_size=\"28514304\"] \n  17 -> 19 [size =\"28514304\"]\n  18 [size=\"121438720\", alpha=\"0.14\", expect_size=\"48575488\"] \n  18 -> 19 [size =\"48575488\"]\n  19 [size=\"60344320\", alpha=\"0.08\", expect_size=\"24137728\"] \n  19 -> 20 [size =\"24137728\"]\n  19 -> 21 [size =\"24137728\"]\n  20 [size=\"127408640\", alpha=\"0.15\", expect_size=\"50963456\"] \n  20 -> 23 [size =\"50963456\"]\n  21 [size=\"102835200\", alpha=\"0.00\", expect_size=\"41134080\"] \n  21 -> 22 [size =\"41134080\"]\n  21 -> 23 [size =\"41134080\"]\n  22 [size=\"94891520\", alpha=\"0.12\", expect_size=\"37956608\"] \n  22 -> 24 [size =\"37956608\"]\n  23 [size=\"44825600\", alpha=\"0.10\", expect_size=\"17930240\"] \n  24 [size=\"20026880\", alpha=\"0.04\", expect_size=\"8010752\"] \n  24 -> 25 [size =\"8010752\"]\n  25 [size=\"109066240\", alpha=\"0.10\", expect_size=\"43626496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44687360\", alpha=\"0.05\", expect_size=\"13406208\"] \n  1 -> 11 [size =\"13406208\"]\n  1 -> 14 [size =\"13406208\"]\n  1 -> 16 [size =\"13406208\"]\n  1 -> 17 [size =\"13406208\"]\n  1 -> 21 [size =\"13406208\"]\n  1 -> 22 [size =\"13406208\"]\n  2 [size=\"117944320\", alpha=\"0.17\", expect_size=\"35383296\"] \n  2 -> 14 [size =\"35383296\"]\n  2 -> 15 [size =\"35383296\"]\n  2 -> 17 [size =\"35383296\"]\n  2 -> 19 [size =\"35383296\"]\n  2 -> 21 [size =\"35383296\"]\n  2 -> 22 [size =\"35383296\"]\n  2 -> 23 [size =\"35383296\"]\n  3 [size=\"42752000\", alpha=\"0.04\", expect_size=\"12825600\"] \n  3 -> 11 [size =\"12825600\"]\n  3 -> 16 [size =\"12825600\"]\n  3 -> 17 [size =\"12825600\"]\n  3 -> 18 [size =\"12825600\"]\n  3 -> 19 [size =\"12825600\"]\n  4 [size=\"159303680\", alpha=\"0.03\", expect_size=\"47791104\"] \n  4 -> 11 [size =\"47791104\"]\n  4 -> 12 [size =\"47791104\"]\n  4 -> 13 [size =\"47791104\"]\n  4 -> 16 [size =\"47791104\"]\n  4 -> 17 [size =\"47791104\"]\n  4 -> 18 [size =\"47791104\"]\n  4 -> 21 [size =\"47791104\"]\n  4 -> 24 [size =\"47791104\"]\n  4 -> 25 [size =\"47791104\"]\n  5 [size=\"48377173\", alpha=\"0.07\", expect_size=\"14513152\"] \n  5 -> 11 [size =\"14513152\"]\n  5 -> 16 [size =\"14513152\"]\n  5 -> 18 [size =\"14513152\"]\n  5 -> 20 [size =\"14513152\"]\n  5 -> 21 [size =\"14513152\"]\n  5 -> 22 [size =\"14513152\"]\n  5 -> 24 [size =\"14513152\"]\n  6 [size=\"42318507\", alpha=\"0.13\", expect_size=\"12695552\"] \n  6 -> 11 [size =\"12695552\"]\n  6 -> 18 [size =\"12695552\"]\n  6 -> 19 [size =\"12695552\"]\n  6 -> 22 [size =\"12695552\"]\n  6 -> 24 [size =\"12695552\"]\n  7 [size=\"60600320\", alpha=\"0.04\", expect_size=\"18180096\"] \n  7 -> 13 [size =\"18180096\"]\n  7 -> 14 [size =\"18180096\"]\n  7 -> 15 [size =\"18180096\"]\n  7 -> 16 [size =\"18180096\"]\n  7 -> 19 [size =\"18180096\"]\n  7 -> 21 [size =\"18180096\"]\n  7 -> 24 [size =\"18180096\"]\n  7 -> 25 [size =\"18180096\"]\n  8 [size=\"165444267\", alpha=\"0.15\", expect_size=\"49633280\"] \n  8 -> 12 [size =\"49633280\"]\n  8 -> 13 [size =\"49633280\"]\n  8 -> 14 [size =\"49633280\"]\n  8 -> 24 [size =\"49633280\"]\n  9 [size=\"153739947\", alpha=\"0.05\", expect_size=\"46121984\"] \n  9 -> 12 [size =\"46121984\"]\n  9 -> 13 [size =\"46121984\"]\n  9 -> 14 [size =\"46121984\"]\n  9 -> 17 [size =\"46121984\"]\n  9 -> 19 [size =\"46121984\"]\n  10 [size=\"71130453\", alpha=\"0.07\", expect_size=\"21339136\"] \n  10 -> 11 [size =\"21339136\"]\n  10 -> 14 [size =\"21339136\"]\n  10 -> 19 [size =\"21339136\"]\n  10 -> 22 [size =\"21339136\"]\n  11 [size=\"146479787\", alpha=\"0.20\", expect_size=\"43943936\"] \n  12 [size=\"28221440\", alpha=\"0.18\", expect_size=\"8466432\"] \n  13 [size=\"162297173\", alpha=\"0.09\", expect_size=\"48689152\"] \n  14 [size=\"36256427\", alpha=\"0.13\", expect_size=\"10876928\"] \n  15 [size=\"63310507\", alpha=\"0.02\", expect_size=\"18993152\"] \n  16 [size=\"116053333\", alpha=\"0.09\", expect_size=\"34816000\"] \n  17 [size=\"58091520\", alpha=\"0.15\", expect_size=\"17427456\"] \n  18 [size=\"89173333\", alpha=\"0.17\", expect_size=\"26752000\"] \n  19 [size=\"48213333\", alpha=\"0.00\", expect_size=\"14464000\"] \n  20 [size=\"89576107\", alpha=\"0.07\", expect_size=\"26872832\"] \n  21 [size=\"147619840\", alpha=\"0.18\", expect_size=\"44285952\"] \n  22 [size=\"147558400\", alpha=\"0.01\", expect_size=\"44267520\"] \n  23 [size=\"134021120\", alpha=\"0.08\", expect_size=\"40206336\"] \n  24 [size=\"48547840\", alpha=\"0.12\", expect_size=\"14564352\"] \n  25 [size=\"150377813\", alpha=\"0.01\", expect_size=\"45113344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139161600\", alpha=\"0.12\", expect_size=\"41748480\"] \n  1 -> 18 [size =\"41748480\"]\n  2 [size=\"118142293\", alpha=\"0.06\", expect_size=\"35442688\"] \n  2 -> 12 [size =\"35442688\"]\n  2 -> 15 [size =\"35442688\"]\n  2 -> 17 [size =\"35442688\"]\n  3 [size=\"130184533\", alpha=\"0.05\", expect_size=\"39055360\"] \n  3 -> 11 [size =\"39055360\"]\n  3 -> 15 [size =\"39055360\"]\n  3 -> 16 [size =\"39055360\"]\n  3 -> 17 [size =\"39055360\"]\n  4 [size=\"96000000\", alpha=\"0.04\", expect_size=\"28800000\"] \n  4 -> 10 [size =\"28800000\"]\n  4 -> 14 [size =\"28800000\"]\n  4 -> 15 [size =\"28800000\"]\n  5 [size=\"76489387\", alpha=\"0.14\", expect_size=\"22946816\"] \n  5 -> 11 [size =\"22946816\"]\n  5 -> 12 [size =\"22946816\"]\n  5 -> 13 [size =\"22946816\"]\n  5 -> 18 [size =\"22946816\"]\n  6 [size=\"135772160\", alpha=\"0.09\", expect_size=\"40731648\"] \n  6 -> 10 [size =\"40731648\"]\n  6 -> 16 [size =\"40731648\"]\n  7 [size=\"160638293\", alpha=\"0.14\", expect_size=\"48191488\"] \n  7 -> 12 [size =\"48191488\"]\n  7 -> 16 [size =\"48191488\"]\n  7 -> 17 [size =\"48191488\"]\n  7 -> 18 [size =\"48191488\"]\n  8 [size=\"107540480\", alpha=\"0.06\", expect_size=\"32262144\"] \n  8 -> 10 [size =\"32262144\"]\n  8 -> 12 [size =\"32262144\"]\n  8 -> 15 [size =\"32262144\"]\n  8 -> 16 [size =\"32262144\"]\n  8 -> 17 [size =\"32262144\"]\n  9 [size=\"29009920\", alpha=\"0.20\", expect_size=\"8702976\"] \n  9 -> 12 [size =\"8702976\"]\n  9 -> 17 [size =\"8702976\"]\n  9 -> 18 [size =\"8702976\"]\n  10 [size=\"34604373\", alpha=\"0.16\", expect_size=\"10381312\"] \n  10 -> 25 [size =\"10381312\"]\n  11 [size=\"157696000\", alpha=\"0.08\", expect_size=\"47308800\"] \n  11 -> 19 [size =\"47308800\"]\n  11 -> 21 [size =\"47308800\"]\n  11 -> 22 [size =\"47308800\"]\n  11 -> 25 [size =\"47308800\"]\n  12 [size=\"92491093\", alpha=\"0.17\", expect_size=\"27747328\"] \n  12 -> 20 [size =\"27747328\"]\n  12 -> 22 [size =\"27747328\"]\n  12 -> 23 [size =\"27747328\"]\n  12 -> 24 [size =\"27747328\"]\n  13 [size=\"136151040\", alpha=\"0.02\", expect_size=\"40845312\"] \n  13 -> 20 [size =\"40845312\"]\n  13 -> 22 [size =\"40845312\"]\n  13 -> 23 [size =\"40845312\"]\n  13 -> 25 [size =\"40845312\"]\n  14 [size=\"172697600\", alpha=\"0.17\", expect_size=\"51809280\"] \n  14 -> 22 [size =\"51809280\"]\n  14 -> 24 [size =\"51809280\"]\n  15 [size=\"44919467\", alpha=\"0.01\", expect_size=\"13475840\"] \n  15 -> 19 [size =\"13475840\"]\n  15 -> 25 [size =\"13475840\"]\n  16 [size=\"154330453\", alpha=\"0.10\", expect_size=\"46299136\"] \n  16 -> 20 [size =\"46299136\"]\n  16 -> 21 [size =\"46299136\"]\n  16 -> 23 [size =\"46299136\"]\n  16 -> 24 [size =\"46299136\"]\n  16 -> 25 [size =\"46299136\"]\n  17 [size=\"64576853\", alpha=\"0.13\", expect_size=\"19373056\"] \n  17 -> 19 [size =\"19373056\"]\n  17 -> 23 [size =\"19373056\"]\n  17 -> 23 [size =\"19373056\"]\n  18 [size=\"173885440\", alpha=\"0.17\", expect_size=\"52165632\"] \n  18 -> 23 [size =\"52165632\"]\n  18 -> 24 [size =\"52165632\"]\n  18 -> 25 [size =\"52165632\"]\n  19 [size=\"63703040\", alpha=\"0.16\", expect_size=\"19110912\"] \n  20 [size=\"61231787\", alpha=\"0.11\", expect_size=\"18369536\"] \n  21 [size=\"28446720\", alpha=\"0.03\", expect_size=\"8534016\"] \n  22 [size=\"92951893\", alpha=\"0.07\", expect_size=\"27885568\"] \n  23 [size=\"70184960\", alpha=\"0.05\", expect_size=\"21055488\"] \n  24 [size=\"82135040\", alpha=\"0.13\", expect_size=\"24640512\"] \n  25 [size=\"59351040\", alpha=\"0.09\", expect_size=\"17805312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120596480\", alpha=\"0.00\", expect_size=\"48238592\"] \n  1 -> 10 [size =\"48238592\"]\n  1 -> 11 [size =\"48238592\"]\n  1 -> 12 [size =\"48238592\"]\n  2 [size=\"55421440\", alpha=\"0.18\", expect_size=\"22168576\"] \n  2 -> 10 [size =\"22168576\"]\n  2 -> 11 [size =\"22168576\"]\n  2 -> 12 [size =\"22168576\"]\n  3 [size=\"117127680\", alpha=\"0.01\", expect_size=\"46851072\"] \n  3 -> 10 [size =\"46851072\"]\n  3 -> 11 [size =\"46851072\"]\n  3 -> 12 [size =\"46851072\"]\n  3 -> 14 [size =\"46851072\"]\n  4 [size=\"48120320\", alpha=\"0.03\", expect_size=\"19248128\"] \n  4 -> 10 [size =\"19248128\"]\n  4 -> 11 [size =\"19248128\"]\n  4 -> 12 [size =\"19248128\"]\n  4 -> 14 [size =\"19248128\"]\n  5 [size=\"106099200\", alpha=\"0.14\", expect_size=\"42439680\"] \n  5 -> 10 [size =\"42439680\"]\n  5 -> 11 [size =\"42439680\"]\n  5 -> 13 [size =\"42439680\"]\n  5 -> 14 [size =\"42439680\"]\n  6 [size=\"28579840\", alpha=\"0.01\", expect_size=\"11431936\"] \n  6 -> 10 [size =\"11431936\"]\n  6 -> 11 [size =\"11431936\"]\n  6 -> 14 [size =\"11431936\"]\n  6 -> 14 [size =\"11431936\"]\n  7 [size=\"73254400\", alpha=\"0.09\", expect_size=\"29301760\"] \n  7 -> 10 [size =\"29301760\"]\n  7 -> 11 [size =\"29301760\"]\n  8 [size=\"15621120\", alpha=\"0.04\", expect_size=\"6248448\"] \n  8 -> 10 [size =\"6248448\"]\n  8 -> 11 [size =\"6248448\"]\n  8 -> 12 [size =\"6248448\"]\n  9 [size=\"125396480\", alpha=\"0.12\", expect_size=\"50158592\"] \n  9 -> 10 [size =\"50158592\"]\n  9 -> 11 [size =\"50158592\"]\n  9 -> 12 [size =\"50158592\"]\n  10 [size=\"110571520\", alpha=\"0.15\", expect_size=\"44228608\"] \n  10 -> 15 [size =\"44228608\"]\n  10 -> 17 [size =\"44228608\"]\n  10 -> 17 [size =\"44228608\"]\n  10 -> 18 [size =\"44228608\"]\n  10 -> 19 [size =\"44228608\"]\n  10 -> 20 [size =\"44228608\"]\n  10 -> 21 [size =\"44228608\"]\n  10 -> 22 [size =\"44228608\"]\n  10 -> 24 [size =\"44228608\"]\n  11 [size=\"97034240\", alpha=\"0.04\", expect_size=\"38813696\"] \n  11 -> 15 [size =\"38813696\"]\n  11 -> 16 [size =\"38813696\"]\n  11 -> 18 [size =\"38813696\"]\n  11 -> 19 [size =\"38813696\"]\n  11 -> 21 [size =\"38813696\"]\n  11 -> 22 [size =\"38813696\"]\n  11 -> 23 [size =\"38813696\"]\n  11 -> 24 [size =\"38813696\"]\n  11 -> 24 [size =\"38813696\"]\n  11 -> 25 [size =\"38813696\"]\n  12 [size=\"99875840\", alpha=\"0.15\", expect_size=\"39950336\"] \n  12 -> 15 [size =\"39950336\"]\n  12 -> 16 [size =\"39950336\"]\n  12 -> 18 [size =\"39950336\"]\n  12 -> 19 [size =\"39950336\"]\n  12 -> 21 [size =\"39950336\"]\n  12 -> 23 [size =\"39950336\"]\n  12 -> 23 [size =\"39950336\"]\n  12 -> 24 [size =\"39950336\"]\n  13 [size=\"86333440\", alpha=\"0.10\", expect_size=\"34533376\"] \n  13 -> 16 [size =\"34533376\"]\n  13 -> 17 [size =\"34533376\"]\n  13 -> 18 [size =\"34533376\"]\n  13 -> 19 [size =\"34533376\"]\n  13 -> 21 [size =\"34533376\"]\n  13 -> 22 [size =\"34533376\"]\n  13 -> 23 [size =\"34533376\"]\n  13 -> 24 [size =\"34533376\"]\n  14 [size=\"92513280\", alpha=\"0.08\", expect_size=\"37005312\"] \n  14 -> 15 [size =\"37005312\"]\n  14 -> 16 [size =\"37005312\"]\n  14 -> 17 [size =\"37005312\"]\n  14 -> 18 [size =\"37005312\"]\n  14 -> 19 [size =\"37005312\"]\n  14 -> 20 [size =\"37005312\"]\n  14 -> 21 [size =\"37005312\"]\n  14 -> 23 [size =\"37005312\"]\n  14 -> 25 [size =\"37005312\"]\n  15 [size=\"112171520\", alpha=\"0.19\", expect_size=\"44868608\"] \n  16 [size=\"79080960\", alpha=\"0.14\", expect_size=\"31632384\"] \n  17 [size=\"87216640\", alpha=\"0.05\", expect_size=\"34886656\"] \n  18 [size=\"20152320\", alpha=\"0.08\", expect_size=\"8060928\"] \n  19 [size=\"45245440\", alpha=\"0.01\", expect_size=\"18098176\"] \n  20 [size=\"116602880\", alpha=\"0.04\", expect_size=\"46641152\"] \n  21 [size=\"85637120\", alpha=\"0.06\", expect_size=\"34254848\"] \n  22 [size=\"111948800\", alpha=\"0.15\", expect_size=\"44779520\"] \n  23 [size=\"83279360\", alpha=\"0.01\", expect_size=\"33311744\"] \n  24 [size=\"23708160\", alpha=\"0.14\", expect_size=\"9483264\"] \n  25 [size=\"68029440\", alpha=\"0.02\", expect_size=\"27211776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86026240\", alpha=\"0.17\", expect_size=\"34410496\"] \n  1 -> 2 [size =\"34410496\"]\n  2 [size=\"51118080\", alpha=\"0.11\", expect_size=\"20447232\"] \n  2 -> 3 [size =\"20447232\"]\n  3 [size=\"81543680\", alpha=\"0.11\", expect_size=\"32617472\"] \n  3 -> 4 [size =\"32617472\"]\n  4 [size=\"87836160\", alpha=\"0.10\", expect_size=\"35134464\"] \n  4 -> 5 [size =\"35134464\"]\n  5 [size=\"97651200\", alpha=\"0.00\", expect_size=\"39060480\"] \n  5 -> 6 [size =\"39060480\"]\n  6 [size=\"104040960\", alpha=\"0.08\", expect_size=\"41616384\"] \n  6 -> 7 [size =\"41616384\"]\n  7 [size=\"116208640\", alpha=\"0.01\", expect_size=\"46483456\"] \n  7 -> 8 [size =\"46483456\"]\n  8 [size=\"82237440\", alpha=\"0.16\", expect_size=\"32894976\"] \n  8 -> 9 [size =\"32894976\"]\n  9 [size=\"25966080\", alpha=\"0.00\", expect_size=\"10386432\"] \n  9 -> 10 [size =\"10386432\"]\n  10 [size=\"99650560\", alpha=\"0.04\", expect_size=\"39860224\"] \n  10 -> 11 [size =\"39860224\"]\n  11 [size=\"39226880\", alpha=\"0.16\", expect_size=\"15690752\"] \n  11 -> 12 [size =\"15690752\"]\n  12 [size=\"21660160\", alpha=\"0.11\", expect_size=\"8664064\"] \n  12 -> 13 [size =\"8664064\"]\n  13 [size=\"88588800\", alpha=\"0.14\", expect_size=\"35435520\"] \n  13 -> 14 [size =\"35435520\"]\n  14 [size=\"36523520\", alpha=\"0.05\", expect_size=\"14609408\"] \n  14 -> 15 [size =\"14609408\"]\n  15 [size=\"98449920\", alpha=\"0.08\", expect_size=\"39379968\"] \n  15 -> 16 [size =\"39379968\"]\n  16 [size=\"100981760\", alpha=\"0.07\", expect_size=\"40392704\"] \n  16 -> 17 [size =\"40392704\"]\n  17 [size=\"29928960\", alpha=\"0.05\", expect_size=\"11971584\"] \n  17 -> 18 [size =\"11971584\"]\n  18 [size=\"35484160\", alpha=\"0.01\", expect_size=\"14193664\"] \n  18 -> 19 [size =\"14193664\"]\n  19 [size=\"129167360\", alpha=\"0.20\", expect_size=\"51666944\"] \n  19 -> 20 [size =\"51666944\"]\n  20 [size=\"129891840\", alpha=\"0.16\", expect_size=\"51956736\"] \n  20 -> 21 [size =\"51956736\"]\n  21 [size=\"32847360\", alpha=\"0.06\", expect_size=\"13138944\"] \n  21 -> 22 [size =\"13138944\"]\n  22 [size=\"127930880\", alpha=\"0.01\", expect_size=\"51172352\"] \n  22 -> 23 [size =\"51172352\"]\n  23 [size=\"72944640\", alpha=\"0.09\", expect_size=\"29177856\"] \n  23 -> 24 [size =\"29177856\"]\n  24 [size=\"39810560\", alpha=\"0.09\", expect_size=\"15924224\"] \n  24 -> 25 [size =\"15924224\"]\n  25 [size=\"70069760\", alpha=\"0.03\", expect_size=\"28027904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24481280\", alpha=\"0.11\", expect_size=\"9792512\"] \n  1 -> 14 [size =\"9792512\"]\n  2 [size=\"49909760\", alpha=\"0.08\", expect_size=\"19963904\"] \n  2 -> 11 [size =\"19963904\"]\n  3 [size=\"107983360\", alpha=\"0.04\", expect_size=\"43193344\"] \n  3 -> 13 [size =\"43193344\"]\n  4 [size=\"96000000\", alpha=\"0.01\", expect_size=\"38400000\"] \n  4 -> 9 [size =\"38400000\"]\n  4 -> 11 [size =\"38400000\"]\n  4 -> 13 [size =\"38400000\"]\n  4 -> 15 [size =\"38400000\"]\n  5 [size=\"32796160\", alpha=\"0.16\", expect_size=\"13118464\"] \n  5 -> 11 [size =\"13118464\"]\n  5 -> 12 [size =\"13118464\"]\n  5 -> 14 [size =\"13118464\"]\n  5 -> 15 [size =\"13118464\"]\n  5 -> 16 [size =\"13118464\"]\n  6 [size=\"44797440\", alpha=\"0.17\", expect_size=\"17918976\"] \n  6 -> 10 [size =\"17918976\"]\n  6 -> 13 [size =\"17918976\"]\n  6 -> 15 [size =\"17918976\"]\n  7 [size=\"101406720\", alpha=\"0.19\", expect_size=\"40562688\"] \n  7 -> 10 [size =\"40562688\"]\n  7 -> 13 [size =\"40562688\"]\n  7 -> 15 [size =\"40562688\"]\n  8 [size=\"79214080\", alpha=\"0.03\", expect_size=\"31685632\"] \n  8 -> 9 [size =\"31685632\"]\n  8 -> 10 [size =\"31685632\"]\n  8 -> 14 [size =\"31685632\"]\n  9 [size=\"98293760\", alpha=\"0.12\", expect_size=\"39317504\"] \n  9 -> 18 [size =\"39317504\"]\n  9 -> 21 [size =\"39317504\"]\n  9 -> 23 [size =\"39317504\"]\n  10 [size=\"121553920\", alpha=\"0.16\", expect_size=\"48621568\"] \n  10 -> 20 [size =\"48621568\"]\n  10 -> 23 [size =\"48621568\"]\n  10 -> 24 [size =\"48621568\"]\n  11 [size=\"102773760\", alpha=\"0.03\", expect_size=\"41109504\"] \n  11 -> 18 [size =\"41109504\"]\n  11 -> 24 [size =\"41109504\"]\n  12 [size=\"48028160\", alpha=\"0.18\", expect_size=\"19211264\"] \n  12 -> 21 [size =\"19211264\"]\n  12 -> 24 [size =\"19211264\"]\n  13 [size=\"95626240\", alpha=\"0.18\", expect_size=\"38250496\"] \n  13 -> 20 [size =\"38250496\"]\n  13 -> 22 [size =\"38250496\"]\n  13 -> 24 [size =\"38250496\"]\n  14 [size=\"121751040\", alpha=\"0.11\", expect_size=\"48700416\"] \n  14 -> 20 [size =\"48700416\"]\n  14 -> 21 [size =\"48700416\"]\n  14 -> 22 [size =\"48700416\"]\n  15 [size=\"129617920\", alpha=\"0.18\", expect_size=\"51847168\"] \n  15 -> 17 [size =\"51847168\"]\n  15 -> 19 [size =\"51847168\"]\n  15 -> 20 [size =\"51847168\"]\n  16 [size=\"107891200\", alpha=\"0.08\", expect_size=\"43156480\"] \n  16 -> 18 [size =\"43156480\"]\n  16 -> 19 [size =\"43156480\"]\n  16 -> 21 [size =\"43156480\"]\n  16 -> 22 [size =\"43156480\"]\n  17 [size=\"92103680\", alpha=\"0.02\", expect_size=\"36841472\"] \n  17 -> 25 [size =\"36841472\"]\n  18 [size=\"84595200\", alpha=\"0.12\", expect_size=\"33838080\"] \n  19 [size=\"104645120\", alpha=\"0.03\", expect_size=\"41858048\"] \n  20 [size=\"54668800\", alpha=\"0.15\", expect_size=\"21867520\"] \n  21 [size=\"29616640\", alpha=\"0.10\", expect_size=\"11846656\"] \n  22 [size=\"47142400\", alpha=\"0.11\", expect_size=\"18856960\"] \n  23 [size=\"33049600\", alpha=\"0.08\", expect_size=\"13219840\"] \n  24 [size=\"23654400\", alpha=\"0.19\", expect_size=\"9461760\"] \n  24 -> 25 [size =\"9461760\"]\n  25 [size=\"89149440\", alpha=\"0.14\", expect_size=\"35659776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69905067\", alpha=\"0.06\", expect_size=\"20971520\"] \n  1 -> 4 [size =\"20971520\"]\n  1 -> 5 [size =\"20971520\"]\n  1 -> 6 [size =\"20971520\"]\n  2 [size=\"72912213\", alpha=\"0.06\", expect_size=\"21873664\"] \n  2 -> 4 [size =\"21873664\"]\n  2 -> 6 [size =\"21873664\"]\n  3 [size=\"34000213\", alpha=\"0.10\", expect_size=\"10200064\"] \n  3 -> 4 [size =\"10200064\"]\n  3 -> 5 [size =\"10200064\"]\n  3 -> 6 [size =\"10200064\"]\n  4 [size=\"149599573\", alpha=\"0.12\", expect_size=\"44879872\"] \n  4 -> 7 [size =\"44879872\"]\n  4 -> 9 [size =\"44879872\"]\n  5 [size=\"120511147\", alpha=\"0.13\", expect_size=\"36153344\"] \n  5 -> 7 [size =\"36153344\"]\n  5 -> 8 [size =\"36153344\"]\n  5 -> 9 [size =\"36153344\"]\n  6 [size=\"160392533\", alpha=\"0.20\", expect_size=\"48117760\"] \n  6 -> 7 [size =\"48117760\"]\n  6 -> 9 [size =\"48117760\"]\n  7 [size=\"159040853\", alpha=\"0.08\", expect_size=\"47712256\"] \n  7 -> 11 [size =\"47712256\"]\n  7 -> 12 [size =\"47712256\"]\n  8 [size=\"37287253\", alpha=\"0.16\", expect_size=\"11186176\"] \n  8 -> 10 [size =\"11186176\"]\n  9 [size=\"106243413\", alpha=\"0.05\", expect_size=\"31873024\"] \n  9 -> 12 [size =\"31873024\"]\n  10 [size=\"21183147\", alpha=\"0.10\", expect_size=\"6354944\"] \n  10 -> 13 [size =\"6354944\"]\n  10 -> 15 [size =\"6354944\"]\n  11 [size=\"162071893\", alpha=\"0.12\", expect_size=\"48621568\"] \n  11 -> 13 [size =\"48621568\"]\n  11 -> 14 [size =\"48621568\"]\n  11 -> 15 [size =\"48621568\"]\n  12 [size=\"54446080\", alpha=\"0.02\", expect_size=\"16333824\"] \n  12 -> 13 [size =\"16333824\"]\n  12 -> 15 [size =\"16333824\"]\n  13 [size=\"101205333\", alpha=\"0.01\", expect_size=\"30361600\"] \n  13 -> 16 [size =\"30361600\"]\n  13 -> 17 [size =\"30361600\"]\n  13 -> 18 [size =\"30361600\"]\n  14 [size=\"25603413\", alpha=\"0.05\", expect_size=\"7681024\"] \n  14 -> 17 [size =\"7681024\"]\n  15 [size=\"116722347\", alpha=\"0.14\", expect_size=\"35016704\"] \n  15 -> 16 [size =\"35016704\"]\n  15 -> 17 [size =\"35016704\"]\n  15 -> 18 [size =\"35016704\"]\n  16 [size=\"59842560\", alpha=\"0.01\", expect_size=\"17952768\"] \n  16 -> 19 [size =\"17952768\"]\n  16 -> 20 [size =\"17952768\"]\n  17 [size=\"59811840\", alpha=\"0.12\", expect_size=\"17943552\"] \n  17 -> 19 [size =\"17943552\"]\n  17 -> 20 [size =\"17943552\"]\n  18 [size=\"120173227\", alpha=\"0.18\", expect_size=\"36051968\"] \n  18 -> 20 [size =\"36051968\"]\n  19 [size=\"87521280\", alpha=\"0.09\", expect_size=\"26256384\"] \n  19 -> 21 [size =\"26256384\"]\n  19 -> 22 [size =\"26256384\"]\n  19 -> 23 [size =\"26256384\"]\n  19 -> 24 [size =\"26256384\"]\n  20 [size=\"129505280\", alpha=\"0.07\", expect_size=\"38851584\"] \n  20 -> 21 [size =\"38851584\"]\n  20 -> 23 [size =\"38851584\"]\n  20 -> 24 [size =\"38851584\"]\n  20 -> 25 [size =\"38851584\"]\n  21 [size=\"53527893\", alpha=\"0.11\", expect_size=\"16058368\"] \n  22 [size=\"144759467\", alpha=\"0.02\", expect_size=\"43427840\"] \n  23 [size=\"159272960\", alpha=\"0.15\", expect_size=\"47781888\"] \n  24 [size=\"169314987\", alpha=\"0.06\", expect_size=\"50794496\"] \n  25 [size=\"51155627\", alpha=\"0.09\", expect_size=\"15346688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87036587\", alpha=\"0.12\", expect_size=\"26110976\"] \n  1 -> 2 [size =\"26110976\"]\n  2 [size=\"122443093\", alpha=\"0.12\", expect_size=\"36732928\"] \n  2 -> 3 [size =\"36732928\"]\n  3 [size=\"120152747\", alpha=\"0.17\", expect_size=\"36045824\"] \n  3 -> 4 [size =\"36045824\"]\n  4 [size=\"31559680\", alpha=\"0.16\", expect_size=\"9467904\"] \n  4 -> 5 [size =\"9467904\"]\n  5 [size=\"162928640\", alpha=\"0.11\", expect_size=\"48878592\"] \n  5 -> 6 [size =\"48878592\"]\n  6 [size=\"55896747\", alpha=\"0.18\", expect_size=\"16769024\"] \n  6 -> 7 [size =\"16769024\"]\n  7 [size=\"168946347\", alpha=\"0.19\", expect_size=\"50683904\"] \n  7 -> 8 [size =\"50683904\"]\n  8 [size=\"145865387\", alpha=\"0.12\", expect_size=\"43759616\"] \n  8 -> 9 [size =\"43759616\"]\n  9 [size=\"30658560\", alpha=\"0.09\", expect_size=\"9197568\"] \n  9 -> 10 [size =\"9197568\"]\n  10 [size=\"88773973\", alpha=\"0.19\", expect_size=\"26632192\"] \n  10 -> 11 [size =\"26632192\"]\n  11 [size=\"98560000\", alpha=\"0.10\", expect_size=\"29568000\"] \n  11 -> 12 [size =\"29568000\"]\n  12 [size=\"38806187\", alpha=\"0.11\", expect_size=\"11641856\"] \n  12 -> 13 [size =\"11641856\"]\n  13 [size=\"136724480\", alpha=\"0.06\", expect_size=\"41017344\"] \n  13 -> 14 [size =\"41017344\"]\n  14 [size=\"111428267\", alpha=\"0.06\", expect_size=\"33428480\"] \n  14 -> 15 [size =\"33428480\"]\n  15 [size=\"79138133\", alpha=\"0.12\", expect_size=\"23741440\"] \n  15 -> 16 [size =\"23741440\"]\n  16 [size=\"164522667\", alpha=\"0.04\", expect_size=\"49356800\"] \n  16 -> 17 [size =\"49356800\"]\n  17 [size=\"145472853\", alpha=\"0.16\", expect_size=\"43641856\"] \n  17 -> 18 [size =\"43641856\"]\n  18 [size=\"138571093\", alpha=\"0.19\", expect_size=\"41571328\"] \n  18 -> 19 [size =\"41571328\"]\n  19 [size=\"73417387\", alpha=\"0.03\", expect_size=\"22025216\"] \n  19 -> 20 [size =\"22025216\"]\n  20 [size=\"144844800\", alpha=\"0.02\", expect_size=\"43453440\"] \n  20 -> 21 [size =\"43453440\"]\n  21 [size=\"140397227\", alpha=\"0.10\", expect_size=\"42119168\"] \n  21 -> 22 [size =\"42119168\"]\n  22 [size=\"61125973\", alpha=\"0.11\", expect_size=\"18337792\"] \n  22 -> 23 [size =\"18337792\"]\n  23 [size=\"148875947\", alpha=\"0.06\", expect_size=\"44662784\"] \n  23 -> 24 [size =\"44662784\"]\n  24 [size=\"38283947\", alpha=\"0.02\", expect_size=\"11485184\"] \n  24 -> 25 [size =\"11485184\"]\n  25 [size=\"84974933\", alpha=\"0.17\", expect_size=\"25492480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80903680\", alpha=\"0.08\", expect_size=\"32361472\"] \n  1 -> 14 [size =\"32361472\"]\n  1 -> 16 [size =\"32361472\"]\n  1 -> 18 [size =\"32361472\"]\n  1 -> 20 [size =\"32361472\"]\n  1 -> 21 [size =\"32361472\"]\n  2 [size=\"19530240\", alpha=\"0.17\", expect_size=\"7812096\"] \n  2 -> 14 [size =\"7812096\"]\n  2 -> 16 [size =\"7812096\"]\n  2 -> 18 [size =\"7812096\"]\n  2 -> 20 [size =\"7812096\"]\n  3 [size=\"129354240\", alpha=\"0.03\", expect_size=\"51741696\"] \n  3 -> 13 [size =\"51741696\"]\n  3 -> 14 [size =\"51741696\"]\n  3 -> 15 [size =\"51741696\"]\n  3 -> 16 [size =\"51741696\"]\n  3 -> 18 [size =\"51741696\"]\n  3 -> 19 [size =\"51741696\"]\n  3 -> 20 [size =\"51741696\"]\n  3 -> 21 [size =\"51741696\"]\n  4 [size=\"15150080\", alpha=\"0.11\", expect_size=\"6060032\"] \n  4 -> 13 [size =\"6060032\"]\n  4 -> 15 [size =\"6060032\"]\n  4 -> 16 [size =\"6060032\"]\n  4 -> 16 [size =\"6060032\"]\n  4 -> 18 [size =\"6060032\"]\n  4 -> 21 [size =\"6060032\"]\n  5 [size=\"44692480\", alpha=\"0.13\", expect_size=\"17876992\"] \n  5 -> 16 [size =\"17876992\"]\n  5 -> 20 [size =\"17876992\"]\n  5 -> 21 [size =\"17876992\"]\n  6 [size=\"30632960\", alpha=\"0.00\", expect_size=\"12253184\"] \n  6 -> 16 [size =\"12253184\"]\n  6 -> 20 [size =\"12253184\"]\n  6 -> 21 [size =\"12253184\"]\n  7 [size=\"127756800\", alpha=\"0.15\", expect_size=\"51102720\"] \n  7 -> 15 [size =\"51102720\"]\n  7 -> 16 [size =\"51102720\"]\n  7 -> 17 [size =\"51102720\"]\n  7 -> 20 [size =\"51102720\"]\n  7 -> 21 [size =\"51102720\"]\n  8 [size=\"14845440\", alpha=\"0.19\", expect_size=\"5938176\"] \n  8 -> 16 [size =\"5938176\"]\n  8 -> 18 [size =\"5938176\"]\n  8 -> 20 [size =\"5938176\"]\n  8 -> 21 [size =\"5938176\"]\n  9 [size=\"72540160\", alpha=\"0.04\", expect_size=\"29016064\"] \n  9 -> 15 [size =\"29016064\"]\n  9 -> 18 [size =\"29016064\"]\n  9 -> 20 [size =\"29016064\"]\n  9 -> 21 [size =\"29016064\"]\n  10 [size=\"54031360\", alpha=\"0.04\", expect_size=\"21612544\"] \n  10 -> 14 [size =\"21612544\"]\n  10 -> 18 [size =\"21612544\"]\n  10 -> 20 [size =\"21612544\"]\n  10 -> 21 [size =\"21612544\"]\n  11 [size=\"32985600\", alpha=\"0.07\", expect_size=\"13194240\"] \n  11 -> 14 [size =\"13194240\"]\n  11 -> 16 [size =\"13194240\"]\n  11 -> 17 [size =\"13194240\"]\n  11 -> 18 [size =\"13194240\"]\n  12 [size=\"79841280\", alpha=\"0.14\", expect_size=\"31936512\"] \n  12 -> 14 [size =\"31936512\"]\n  12 -> 16 [size =\"31936512\"]\n  12 -> 19 [size =\"31936512\"]\n  12 -> 21 [size =\"31936512\"]\n  13 [size=\"63270400\", alpha=\"0.11\", expect_size=\"25308160\"] \n  13 -> 22 [size =\"25308160\"]\n  13 -> 25 [size =\"25308160\"]\n  14 [size=\"82232320\", alpha=\"0.13\", expect_size=\"32892928\"] \n  14 -> 22 [size =\"32892928\"]\n  15 [size=\"30571520\", alpha=\"0.01\", expect_size=\"12228608\"] \n  15 -> 25 [size =\"12228608\"]\n  16 [size=\"108500480\", alpha=\"0.19\", expect_size=\"43400192\"] \n  16 -> 25 [size =\"43400192\"]\n  17 [size=\"110451200\", alpha=\"0.12\", expect_size=\"44180480\"] \n  17 -> 22 [size =\"44180480\"]\n  17 -> 25 [size =\"44180480\"]\n  18 [size=\"82662400\", alpha=\"0.00\", expect_size=\"33064960\"] \n  18 -> 24 [size =\"33064960\"]\n  19 [size=\"76743680\", alpha=\"0.07\", expect_size=\"30697472\"] \n  19 -> 23 [size =\"30697472\"]\n  20 [size=\"99988480\", alpha=\"0.18\", expect_size=\"39995392\"] \n  20 -> 25 [size =\"39995392\"]\n  21 [size=\"123819520\", alpha=\"0.01\", expect_size=\"49527808\"] \n  21 -> 22 [size =\"49527808\"]\n  21 -> 25 [size =\"49527808\"]\n  22 [size=\"45117440\", alpha=\"0.04\", expect_size=\"18046976\"] \n  23 [size=\"128343040\", alpha=\"0.08\", expect_size=\"51337216\"] \n  24 [size=\"77701120\", alpha=\"0.11\", expect_size=\"31080448\"] \n  25 [size=\"33978880\", alpha=\"0.00\", expect_size=\"13591552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20585813\", alpha=\"0.17\", expect_size=\"6175744\"] \n  1 -> 21 [size =\"6175744\"]\n  1 -> 24 [size =\"6175744\"]\n  2 [size=\"43847680\", alpha=\"0.15\", expect_size=\"13154304\"] \n  2 -> 22 [size =\"13154304\"]\n  2 -> 23 [size =\"13154304\"]\n  3 [size=\"67997013\", alpha=\"0.02\", expect_size=\"20399104\"] \n  3 -> 23 [size =\"20399104\"]\n  4 [size=\"81858560\", alpha=\"0.19\", expect_size=\"24557568\"] \n  4 -> 24 [size =\"24557568\"]\n  5 [size=\"95361707\", alpha=\"0.08\", expect_size=\"28608512\"] \n  5 -> 22 [size =\"28608512\"]\n  5 -> 25 [size =\"28608512\"]\n  6 [size=\"118667947\", alpha=\"0.04\", expect_size=\"35600384\"] \n  6 -> 22 [size =\"35600384\"]\n  6 -> 25 [size =\"35600384\"]\n  7 [size=\"37345280\", alpha=\"0.05\", expect_size=\"11203584\"] \n  7 -> 22 [size =\"11203584\"]\n  8 [size=\"100174507\", alpha=\"0.03\", expect_size=\"30052352\"] \n  8 -> 22 [size =\"30052352\"]\n  8 -> 24 [size =\"30052352\"]\n  9 [size=\"101372587\", alpha=\"0.06\", expect_size=\"30411776\"] \n  9 -> 24 [size =\"30411776\"]\n  9 -> 25 [size =\"30411776\"]\n  10 [size=\"127511893\", alpha=\"0.20\", expect_size=\"38253568\"] \n  10 -> 24 [size =\"38253568\"]\n  10 -> 25 [size =\"38253568\"]\n  11 [size=\"136994133\", alpha=\"0.05\", expect_size=\"41098240\"] \n  11 -> 22 [size =\"41098240\"]\n  11 -> 24 [size =\"41098240\"]\n  12 [size=\"112011947\", alpha=\"0.08\", expect_size=\"33603584\"] \n  12 -> 21 [size =\"33603584\"]\n  12 -> 22 [size =\"33603584\"]\n  12 -> 24 [size =\"33603584\"]\n  13 [size=\"72287573\", alpha=\"0.12\", expect_size=\"21686272\"] \n  13 -> 22 [size =\"21686272\"]\n  14 [size=\"90818560\", alpha=\"0.14\", expect_size=\"27245568\"] \n  14 -> 23 [size =\"27245568\"]\n  14 -> 24 [size =\"27245568\"]\n  15 [size=\"82438827\", alpha=\"0.02\", expect_size=\"24731648\"] \n  15 -> 23 [size =\"24731648\"]\n  15 -> 25 [size =\"24731648\"]\n  16 [size=\"142844587\", alpha=\"0.06\", expect_size=\"42853376\"] \n  16 -> 24 [size =\"42853376\"]\n  17 [size=\"171622400\", alpha=\"0.03\", expect_size=\"51486720\"] \n  17 -> 21 [size =\"51486720\"]\n  17 -> 24 [size =\"51486720\"]\n  18 [size=\"56125440\", alpha=\"0.12\", expect_size=\"16837632\"] \n  18 -> 21 [size =\"16837632\"]\n  18 -> 22 [size =\"16837632\"]\n  19 [size=\"81220267\", alpha=\"0.04\", expect_size=\"24366080\"] \n  19 -> 21 [size =\"24366080\"]\n  19 -> 24 [size =\"24366080\"]\n  20 [size=\"125405867\", alpha=\"0.05\", expect_size=\"37621760\"] \n  20 -> 24 [size =\"37621760\"]\n  21 [size=\"124951893\", alpha=\"0.06\", expect_size=\"37485568\"] \n  22 [size=\"161693013\", alpha=\"0.11\", expect_size=\"48507904\"] \n  23 [size=\"69253120\", alpha=\"0.02\", expect_size=\"20775936\"] \n  24 [size=\"161536000\", alpha=\"0.01\", expect_size=\"48460800\"] \n  25 [size=\"117015893\", alpha=\"0.10\", expect_size=\"35104768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35886080\", alpha=\"0.14\", expect_size=\"14354432\"] \n  1 -> 3 [size =\"14354432\"]\n  1 -> 4 [size =\"14354432\"]\n  2 [size=\"77061120\", alpha=\"0.03\", expect_size=\"30824448\"] \n  2 -> 3 [size =\"30824448\"]\n  2 -> 4 [size =\"30824448\"]\n  3 [size=\"82544640\", alpha=\"0.10\", expect_size=\"33017856\"] \n  4 [size=\"70136320\", alpha=\"0.17\", expect_size=\"28054528\"] \n  4 -> 5 [size =\"28054528\"]\n  5 [size=\"119946240\", alpha=\"0.17\", expect_size=\"47978496\"] \n  5 -> 6 [size =\"47978496\"]\n  5 -> 7 [size =\"47978496\"]\n  6 [size=\"23874560\", alpha=\"0.13\", expect_size=\"9549824\"] \n  6 -> 8 [size =\"9549824\"]\n  7 [size=\"74408960\", alpha=\"0.13\", expect_size=\"29763584\"] \n  7 -> 8 [size =\"29763584\"]\n  8 [size=\"55587840\", alpha=\"0.13\", expect_size=\"22235136\"] \n  8 -> 9 [size =\"22235136\"]\n  8 -> 10 [size =\"22235136\"]\n  9 [size=\"52318720\", alpha=\"0.00\", expect_size=\"20927488\"] \n  9 -> 11 [size =\"20927488\"]\n  9 -> 12 [size =\"20927488\"]\n  10 [size=\"50726400\", alpha=\"0.14\", expect_size=\"20290560\"] \n  10 -> 11 [size =\"20290560\"]\n  11 [size=\"56320000\", alpha=\"0.10\", expect_size=\"22528000\"] \n  11 -> 13 [size =\"22528000\"]\n  11 -> 14 [size =\"22528000\"]\n  12 [size=\"19929600\", alpha=\"0.04\", expect_size=\"7971840\"] \n  12 -> 13 [size =\"7971840\"]\n  12 -> 14 [size =\"7971840\"]\n  13 [size=\"39272960\", alpha=\"0.15\", expect_size=\"15709184\"] \n  13 -> 15 [size =\"15709184\"]\n  13 -> 16 [size =\"15709184\"]\n  14 [size=\"99415040\", alpha=\"0.03\", expect_size=\"39766016\"] \n  14 -> 15 [size =\"39766016\"]\n  14 -> 16 [size =\"39766016\"]\n  15 [size=\"84436480\", alpha=\"0.14\", expect_size=\"33774592\"] \n  15 -> 17 [size =\"33774592\"]\n  16 [size=\"64281600\", alpha=\"0.03\", expect_size=\"25712640\"] \n  16 -> 17 [size =\"25712640\"]\n  17 [size=\"24322560\", alpha=\"0.07\", expect_size=\"9729024\"] \n  17 -> 18 [size =\"9729024\"]\n  18 [size=\"102348800\", alpha=\"0.06\", expect_size=\"40939520\"] \n  18 -> 19 [size =\"40939520\"]\n  18 -> 20 [size =\"40939520\"]\n  19 [size=\"58216960\", alpha=\"0.08\", expect_size=\"23286784\"] \n  19 -> 21 [size =\"23286784\"]\n  19 -> 22 [size =\"23286784\"]\n  20 [size=\"59673600\", alpha=\"0.07\", expect_size=\"23869440\"] \n  20 -> 21 [size =\"23869440\"]\n  20 -> 22 [size =\"23869440\"]\n  21 [size=\"21642240\", alpha=\"0.10\", expect_size=\"8656896\"] \n  21 -> 23 [size =\"8656896\"]\n  21 -> 24 [size =\"8656896\"]\n  22 [size=\"77688320\", alpha=\"0.04\", expect_size=\"31075328\"] \n  22 -> 23 [size =\"31075328\"]\n  22 -> 24 [size =\"31075328\"]\n  23 [size=\"100787200\", alpha=\"0.09\", expect_size=\"40314880\"] \n  23 -> 25 [size =\"40314880\"]\n  24 [size=\"72983040\", alpha=\"0.04\", expect_size=\"29193216\"] \n  24 -> 25 [size =\"29193216\"]\n  25 [size=\"88529920\", alpha=\"0.18\", expect_size=\"35411968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64904533\", alpha=\"0.15\", expect_size=\"19471360\"] \n  1 -> 2 [size =\"19471360\"]\n  2 [size=\"128034133\", alpha=\"0.16\", expect_size=\"38410240\"] \n  2 -> 3 [size =\"38410240\"]\n  3 [size=\"70133760\", alpha=\"0.16\", expect_size=\"21040128\"] \n  3 -> 4 [size =\"21040128\"]\n  4 [size=\"46984533\", alpha=\"0.12\", expect_size=\"14095360\"] \n  4 -> 5 [size =\"14095360\"]\n  5 [size=\"46325760\", alpha=\"0.03\", expect_size=\"13897728\"] \n  5 -> 6 [size =\"13897728\"]\n  6 [size=\"18162347\", alpha=\"0.19\", expect_size=\"5448704\"] \n  6 -> 7 [size =\"5448704\"]\n  7 [size=\"115479893\", alpha=\"0.10\", expect_size=\"34643968\"] \n  7 -> 8 [size =\"34643968\"]\n  8 [size=\"131457707\", alpha=\"0.04\", expect_size=\"39437312\"] \n  8 -> 9 [size =\"39437312\"]\n  9 [size=\"39563947\", alpha=\"0.20\", expect_size=\"11869184\"] \n  9 -> 10 [size =\"11869184\"]\n  10 [size=\"146790400\", alpha=\"0.04\", expect_size=\"44037120\"] \n  10 -> 11 [size =\"44037120\"]\n  11 [size=\"56203947\", alpha=\"0.19\", expect_size=\"16861184\"] \n  11 -> 12 [size =\"16861184\"]\n  12 [size=\"20688213\", alpha=\"0.18\", expect_size=\"6206464\"] \n  12 -> 13 [size =\"6206464\"]\n  13 [size=\"145872213\", alpha=\"0.09\", expect_size=\"43761664\"] \n  13 -> 14 [size =\"43761664\"]\n  14 [size=\"118108160\", alpha=\"0.18\", expect_size=\"35432448\"] \n  14 -> 15 [size =\"35432448\"]\n  15 [size=\"54896640\", alpha=\"0.07\", expect_size=\"16468992\"] \n  15 -> 16 [size =\"16468992\"]\n  16 [size=\"81978027\", alpha=\"0.05\", expect_size=\"24593408\"] \n  16 -> 17 [size =\"24593408\"]\n  17 [size=\"77451947\", alpha=\"0.07\", expect_size=\"23235584\"] \n  17 -> 18 [size =\"23235584\"]\n  18 [size=\"154234880\", alpha=\"0.13\", expect_size=\"46270464\"] \n  18 -> 19 [size =\"46270464\"]\n  19 [size=\"27074560\", alpha=\"0.09\", expect_size=\"8122368\"] \n  19 -> 20 [size =\"8122368\"]\n  20 [size=\"23930880\", alpha=\"0.04\", expect_size=\"7179264\"] \n  20 -> 21 [size =\"7179264\"]\n  21 [size=\"56576000\", alpha=\"0.05\", expect_size=\"16972800\"] \n  21 -> 22 [size =\"16972800\"]\n  22 [size=\"51947520\", alpha=\"0.20\", expect_size=\"15584256\"] \n  22 -> 23 [size =\"15584256\"]\n  23 [size=\"34925227\", alpha=\"0.02\", expect_size=\"10477568\"] \n  23 -> 24 [size =\"10477568\"]\n  24 [size=\"107933013\", alpha=\"0.07\", expect_size=\"32379904\"] \n  24 -> 25 [size =\"32379904\"]\n  25 [size=\"91641173\", alpha=\"0.16\", expect_size=\"27492352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14092800\", alpha=\"0.06\", expect_size=\"5637120\"] \n  1 -> 3 [size =\"5637120\"]\n  2 [size=\"54330880\", alpha=\"0.16\", expect_size=\"21732352\"] \n  3 [size=\"114270720\", alpha=\"0.08\", expect_size=\"45708288\"] \n  3 -> 4 [size =\"45708288\"]\n  4 [size=\"102576640\", alpha=\"0.03\", expect_size=\"41030656\"] \n  4 -> 5 [size =\"41030656\"]\n  4 -> 6 [size =\"41030656\"]\n  5 [size=\"117557760\", alpha=\"0.01\", expect_size=\"47023104\"] \n  5 -> 8 [size =\"47023104\"]\n  6 [size=\"99591680\", alpha=\"0.03\", expect_size=\"39836672\"] \n  6 -> 7 [size =\"39836672\"]\n  7 [size=\"98657280\", alpha=\"0.18\", expect_size=\"39462912\"] \n  7 -> 9 [size =\"39462912\"]\n  8 [size=\"124252160\", alpha=\"0.12\", expect_size=\"49700864\"] \n  8 -> 10 [size =\"49700864\"]\n  9 [size=\"64035840\", alpha=\"0.04\", expect_size=\"25614336\"] \n  9 -> 11 [size =\"25614336\"]\n  10 [size=\"113684480\", alpha=\"0.04\", expect_size=\"45473792\"] \n  10 -> 11 [size =\"45473792\"]\n  11 [size=\"57162240\", alpha=\"0.19\", expect_size=\"22864896\"] \n  11 -> 12 [size =\"22864896\"]\n  11 -> 13 [size =\"22864896\"]\n  12 [size=\"92902400\", alpha=\"0.08\", expect_size=\"37160960\"] \n  12 -> 14 [size =\"37160960\"]\n  12 -> 15 [size =\"37160960\"]\n  13 [size=\"68362240\", alpha=\"0.18\", expect_size=\"27344896\"] \n  14 [size=\"113953280\", alpha=\"0.11\", expect_size=\"45581312\"] \n  14 -> 16 [size =\"45581312\"]\n  15 [size=\"16058880\", alpha=\"0.03\", expect_size=\"6423552\"] \n  15 -> 16 [size =\"6423552\"]\n  16 [size=\"20211200\", alpha=\"0.03\", expect_size=\"8084480\"] \n  16 -> 17 [size =\"8084480\"]\n  17 [size=\"40368640\", alpha=\"0.19\", expect_size=\"16147456\"] \n  17 -> 18 [size =\"16147456\"]\n  17 -> 19 [size =\"16147456\"]\n  18 [size=\"27468800\", alpha=\"0.07\", expect_size=\"10987520\"] \n  18 -> 20 [size =\"10987520\"]\n  19 [size=\"95887360\", alpha=\"0.03\", expect_size=\"38354944\"] \n  19 -> 20 [size =\"38354944\"]\n  20 [size=\"120427520\", alpha=\"0.17\", expect_size=\"48171008\"] \n  20 -> 21 [size =\"48171008\"]\n  20 -> 22 [size =\"48171008\"]\n  21 [size=\"27755520\", alpha=\"0.11\", expect_size=\"11102208\"] \n  21 -> 23 [size =\"11102208\"]\n  22 [size=\"22287360\", alpha=\"0.11\", expect_size=\"8914944\"] \n  22 -> 23 [size =\"8914944\"]\n  23 [size=\"68930560\", alpha=\"0.09\", expect_size=\"27572224\"] \n  23 -> 24 [size =\"27572224\"]\n  23 -> 25 [size =\"27572224\"]\n  24 [size=\"54187520\", alpha=\"0.02\", expect_size=\"21675008\"] \n  25 [size=\"121274880\", alpha=\"0.13\", expect_size=\"48509952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112090453\", alpha=\"0.19\", expect_size=\"33627136\"] \n  2 [size=\"53814613\", alpha=\"0.13\", expect_size=\"16144384\"] \n  2 -> 9 [size =\"16144384\"]\n  2 -> 10 [size =\"16144384\"]\n  2 -> 12 [size =\"16144384\"]\n  2 -> 16 [size =\"16144384\"]\n  3 [size=\"86490453\", alpha=\"0.05\", expect_size=\"25947136\"] \n  3 -> 8 [size =\"25947136\"]\n  3 -> 9 [size =\"25947136\"]\n  3 -> 10 [size =\"25947136\"]\n  3 -> 11 [size =\"25947136\"]\n  3 -> 13 [size =\"25947136\"]\n  4 [size=\"91463680\", alpha=\"0.09\", expect_size=\"27439104\"] \n  4 -> 7 [size =\"27439104\"]\n  4 -> 13 [size =\"27439104\"]\n  4 -> 14 [size =\"27439104\"]\n  5 [size=\"77318827\", alpha=\"0.14\", expect_size=\"23195648\"] \n  5 -> 7 [size =\"23195648\"]\n  5 -> 9 [size =\"23195648\"]\n  5 -> 15 [size =\"23195648\"]\n  5 -> 16 [size =\"23195648\"]\n  6 [size=\"125033813\", alpha=\"0.18\", expect_size=\"37510144\"] \n  6 -> 15 [size =\"37510144\"]\n  7 [size=\"60893867\", alpha=\"0.07\", expect_size=\"18268160\"] \n  7 -> 17 [size =\"18268160\"]\n  7 -> 19 [size =\"18268160\"]\n  7 -> 22 [size =\"18268160\"]\n  8 [size=\"132676267\", alpha=\"0.02\", expect_size=\"39802880\"] \n  8 -> 17 [size =\"39802880\"]\n  8 -> 18 [size =\"39802880\"]\n  8 -> 20 [size =\"39802880\"]\n  8 -> 21 [size =\"39802880\"]\n  8 -> 23 [size =\"39802880\"]\n  9 [size=\"110100480\", alpha=\"0.06\", expect_size=\"33030144\"] \n  9 -> 17 [size =\"33030144\"]\n  9 -> 19 [size =\"33030144\"]\n  9 -> 23 [size =\"33030144\"]\n  10 [size=\"120804693\", alpha=\"0.11\", expect_size=\"36241408\"] \n  10 -> 20 [size =\"36241408\"]\n  11 [size=\"63645013\", alpha=\"0.14\", expect_size=\"19093504\"] \n  11 -> 18 [size =\"19093504\"]\n  11 -> 22 [size =\"19093504\"]\n  12 [size=\"54855680\", alpha=\"0.10\", expect_size=\"16456704\"] \n  12 -> 19 [size =\"16456704\"]\n  13 [size=\"159457280\", alpha=\"0.09\", expect_size=\"47837184\"] \n  13 -> 20 [size =\"47837184\"]\n  13 -> 23 [size =\"47837184\"]\n  14 [size=\"38481920\", alpha=\"0.19\", expect_size=\"11544576\"] \n  14 -> 20 [size =\"11544576\"]\n  14 -> 23 [size =\"11544576\"]\n  15 [size=\"109096960\", alpha=\"0.15\", expect_size=\"32729088\"] \n  15 -> 17 [size =\"32729088\"]\n  15 -> 20 [size =\"32729088\"]\n  15 -> 22 [size =\"32729088\"]\n  15 -> 23 [size =\"32729088\"]\n  16 [size=\"61914453\", alpha=\"0.17\", expect_size=\"18574336\"] \n  16 -> 17 [size =\"18574336\"]\n  16 -> 20 [size =\"18574336\"]\n  16 -> 22 [size =\"18574336\"]\n  17 [size=\"48264533\", alpha=\"0.01\", expect_size=\"14479360\"] \n  17 -> 25 [size =\"14479360\"]\n  18 [size=\"105038507\", alpha=\"0.14\", expect_size=\"31511552\"] \n  18 -> 25 [size =\"31511552\"]\n  19 [size=\"117531307\", alpha=\"0.18\", expect_size=\"35259392\"] \n  20 [size=\"162990080\", alpha=\"0.19\", expect_size=\"48897024\"] \n  20 -> 24 [size =\"48897024\"]\n  21 [size=\"89709227\", alpha=\"0.11\", expect_size=\"26912768\"] \n  21 -> 24 [size =\"26912768\"]\n  21 -> 25 [size =\"26912768\"]\n  22 [size=\"42584747\", alpha=\"0.08\", expect_size=\"12775424\"] \n  22 -> 24 [size =\"12775424\"]\n  22 -> 25 [size =\"12775424\"]\n  23 [size=\"122251947\", alpha=\"0.14\", expect_size=\"36675584\"] \n  23 -> 24 [size =\"36675584\"]\n  24 [size=\"38147413\", alpha=\"0.09\", expect_size=\"11444224\"] \n  25 [size=\"32334507\", alpha=\"0.12\", expect_size=\"9700352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146066773\", alpha=\"0.07\", expect_size=\"43820032\"] \n  2 [size=\"88828587\", alpha=\"0.11\", expect_size=\"26648576\"] \n  2 -> 6 [size =\"26648576\"]\n  2 -> 8 [size =\"26648576\"]\n  3 [size=\"107011413\", alpha=\"0.17\", expect_size=\"32103424\"] \n  3 -> 5 [size =\"32103424\"]\n  3 -> 7 [size =\"32103424\"]\n  4 [size=\"133597867\", alpha=\"0.12\", expect_size=\"40079360\"] \n  4 -> 5 [size =\"40079360\"]\n  4 -> 6 [size =\"40079360\"]\n  4 -> 8 [size =\"40079360\"]\n  5 [size=\"17674240\", alpha=\"0.00\", expect_size=\"5302272\"] \n  5 -> 11 [size =\"5302272\"]\n  6 [size=\"123549013\", alpha=\"0.06\", expect_size=\"37064704\"] \n  6 -> 11 [size =\"37064704\"]\n  7 [size=\"46185813\", alpha=\"0.19\", expect_size=\"13855744\"] \n  7 -> 9 [size =\"13855744\"]\n  7 -> 10 [size =\"13855744\"]\n  8 [size=\"137635840\", alpha=\"0.10\", expect_size=\"41290752\"] \n  8 -> 9 [size =\"41290752\"]\n  8 -> 12 [size =\"41290752\"]\n  9 [size=\"103495680\", alpha=\"0.07\", expect_size=\"31048704\"] \n  9 -> 15 [size =\"31048704\"]\n  9 -> 16 [size =\"31048704\"]\n  10 [size=\"68027733\", alpha=\"0.09\", expect_size=\"20408320\"] \n  10 -> 16 [size =\"20408320\"]\n  11 [size=\"93719893\", alpha=\"0.07\", expect_size=\"28115968\"] \n  11 -> 13 [size =\"28115968\"]\n  11 -> 14 [size =\"28115968\"]\n  12 [size=\"145769813\", alpha=\"0.13\", expect_size=\"43730944\"] \n  12 -> 13 [size =\"43730944\"]\n  12 -> 14 [size =\"43730944\"]\n  12 -> 15 [size =\"43730944\"]\n  12 -> 16 [size =\"43730944\"]\n  13 [size=\"71720960\", alpha=\"0.12\", expect_size=\"21516288\"] \n  13 -> 18 [size =\"21516288\"]\n  13 -> 19 [size =\"21516288\"]\n  14 [size=\"50172587\", alpha=\"0.18\", expect_size=\"15051776\"] \n  14 -> 17 [size =\"15051776\"]\n  14 -> 18 [size =\"15051776\"]\n  15 [size=\"141414400\", alpha=\"0.03\", expect_size=\"42424320\"] \n  15 -> 17 [size =\"42424320\"]\n  15 -> 18 [size =\"42424320\"]\n  15 -> 19 [size =\"42424320\"]\n  16 [size=\"143598933\", alpha=\"0.12\", expect_size=\"43079680\"] \n  17 [size=\"35164160\", alpha=\"0.03\", expect_size=\"10549248\"] \n  17 -> 20 [size =\"10549248\"]\n  18 [size=\"28668587\", alpha=\"0.20\", expect_size=\"8600576\"] \n  18 -> 21 [size =\"8600576\"]\n  18 -> 22 [size =\"8600576\"]\n  19 [size=\"108356267\", alpha=\"0.09\", expect_size=\"32506880\"] \n  19 -> 20 [size =\"32506880\"]\n  20 [size=\"163986773\", alpha=\"0.07\", expect_size=\"49196032\"] \n  20 -> 23 [size =\"49196032\"]\n  21 [size=\"78680747\", alpha=\"0.02\", expect_size=\"23604224\"] \n  21 -> 23 [size =\"23604224\"]\n  21 -> 24 [size =\"23604224\"]\n  21 -> 25 [size =\"23604224\"]\n  22 [size=\"136867840\", alpha=\"0.05\", expect_size=\"41060352\"] \n  23 [size=\"81312427\", alpha=\"0.01\", expect_size=\"24393728\"] \n  24 [size=\"21695147\", alpha=\"0.11\", expect_size=\"6508544\"] \n  25 [size=\"166239573\", alpha=\"0.01\", expect_size=\"49871872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72157184\", alpha=\"0.07\", expect_size=\"36078592\"] \n  1 -> 2 [size =\"36078592\"]\n  2 [size=\"101365760\", alpha=\"0.15\", expect_size=\"50682880\"] \n  2 -> 3 [size =\"50682880\"]\n  3 [size=\"101507072\", alpha=\"0.14\", expect_size=\"50753536\"] \n  3 -> 4 [size =\"50753536\"]\n  4 [size=\"93659136\", alpha=\"0.15\", expect_size=\"46829568\"] \n  4 -> 5 [size =\"46829568\"]\n  5 [size=\"35891200\", alpha=\"0.06\", expect_size=\"17945600\"] \n  5 -> 6 [size =\"17945600\"]\n  6 [size=\"83382272\", alpha=\"0.08\", expect_size=\"41691136\"] \n  6 -> 7 [size =\"41691136\"]\n  7 [size=\"20666368\", alpha=\"0.17\", expect_size=\"10333184\"] \n  7 -> 8 [size =\"10333184\"]\n  8 [size=\"94906368\", alpha=\"0.04\", expect_size=\"47453184\"] \n  8 -> 9 [size =\"47453184\"]\n  9 [size=\"45088768\", alpha=\"0.12\", expect_size=\"22544384\"] \n  9 -> 10 [size =\"22544384\"]\n  10 [size=\"57294848\", alpha=\"0.06\", expect_size=\"28647424\"] \n  10 -> 11 [size =\"28647424\"]\n  11 [size=\"83587072\", alpha=\"0.16\", expect_size=\"41793536\"] \n  11 -> 12 [size =\"41793536\"]\n  12 [size=\"23265280\", alpha=\"0.15\", expect_size=\"11632640\"] \n  12 -> 13 [size =\"11632640\"]\n  13 [size=\"94294016\", alpha=\"0.14\", expect_size=\"47147008\"] \n  13 -> 14 [size =\"47147008\"]\n  14 [size=\"66789376\", alpha=\"0.19\", expect_size=\"33394688\"] \n  14 -> 15 [size =\"33394688\"]\n  15 [size=\"44005376\", alpha=\"0.03\", expect_size=\"22002688\"] \n  15 -> 16 [size =\"22002688\"]\n  16 [size=\"71133184\", alpha=\"0.16\", expect_size=\"35566592\"] \n  16 -> 17 [size =\"35566592\"]\n  17 [size=\"14036992\", alpha=\"0.03\", expect_size=\"7018496\"] \n  17 -> 18 [size =\"7018496\"]\n  18 [size=\"95283200\", alpha=\"0.12\", expect_size=\"47641600\"] \n  18 -> 19 [size =\"47641600\"]\n  19 [size=\"19589120\", alpha=\"0.18\", expect_size=\"9794560\"] \n  19 -> 20 [size =\"9794560\"]\n  20 [size=\"75139072\", alpha=\"0.16\", expect_size=\"37569536\"] \n  20 -> 21 [size =\"37569536\"]\n  21 [size=\"104673280\", alpha=\"0.06\", expect_size=\"52336640\"] \n  21 -> 22 [size =\"52336640\"]\n  22 [size=\"84572160\", alpha=\"0.16\", expect_size=\"42286080\"] \n  22 -> 23 [size =\"42286080\"]\n  23 [size=\"61702144\", alpha=\"0.06\", expect_size=\"30851072\"] \n  23 -> 24 [size =\"30851072\"]\n  24 [size=\"32509952\", alpha=\"0.12\", expect_size=\"16254976\"] \n  24 -> 25 [size =\"16254976\"]\n  25 [size=\"29034496\", alpha=\"0.05\", expect_size=\"14517248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23300096\", alpha=\"0.10\", expect_size=\"11650048\"] \n  2 [size=\"50733056\", alpha=\"0.16\", expect_size=\"25366528\"] \n  2 -> 6 [size =\"25366528\"]\n  3 [size=\"99518464\", alpha=\"0.09\", expect_size=\"49759232\"] \n  3 -> 5 [size =\"49759232\"]\n  3 -> 7 [size =\"49759232\"]\n  4 [size=\"44357632\", alpha=\"0.13\", expect_size=\"22178816\"] \n  4 -> 5 [size =\"22178816\"]\n  4 -> 6 [size =\"22178816\"]\n  5 [size=\"13107200\", alpha=\"0.10\", expect_size=\"6553600\"] \n  6 [size=\"100880384\", alpha=\"0.02\", expect_size=\"50440192\"] \n  6 -> 8 [size =\"50440192\"]\n  6 -> 9 [size =\"50440192\"]\n  6 -> 10 [size =\"50440192\"]\n  7 [size=\"46696448\", alpha=\"0.13\", expect_size=\"23348224\"] \n  8 [size=\"65912832\", alpha=\"0.07\", expect_size=\"32956416\"] \n  8 -> 11 [size =\"32956416\"]\n  8 -> 13 [size =\"32956416\"]\n  9 [size=\"93026304\", alpha=\"0.08\", expect_size=\"46513152\"] \n  9 -> 11 [size =\"46513152\"]\n  10 [size=\"18139136\", alpha=\"0.11\", expect_size=\"9069568\"] \n  10 -> 12 [size =\"9069568\"]\n  11 [size=\"65538048\", alpha=\"0.04\", expect_size=\"32769024\"] \n  11 -> 15 [size =\"32769024\"]\n  12 [size=\"18075648\", alpha=\"0.07\", expect_size=\"9037824\"] \n  12 -> 14 [size =\"9037824\"]\n  12 -> 16 [size =\"9037824\"]\n  13 [size=\"91969536\", alpha=\"0.11\", expect_size=\"45984768\"] \n  13 -> 16 [size =\"45984768\"]\n  14 [size=\"42205184\", alpha=\"0.18\", expect_size=\"21102592\"] \n  14 -> 17 [size =\"21102592\"]\n  14 -> 18 [size =\"21102592\"]\n  15 [size=\"104306688\", alpha=\"0.13\", expect_size=\"52153344\"] \n  15 -> 18 [size =\"52153344\"]\n  15 -> 19 [size =\"52153344\"]\n  16 [size=\"56815616\", alpha=\"0.07\", expect_size=\"28407808\"] \n  16 -> 17 [size =\"28407808\"]\n  17 [size=\"67452928\", alpha=\"0.12\", expect_size=\"33726464\"] \n  17 -> 20 [size =\"33726464\"]\n  18 [size=\"34334720\", alpha=\"0.12\", expect_size=\"17167360\"] \n  18 -> 21 [size =\"17167360\"]\n  18 -> 22 [size =\"17167360\"]\n  19 [size=\"69027840\", alpha=\"0.13\", expect_size=\"34513920\"] \n  20 [size=\"14751744\", alpha=\"0.03\", expect_size=\"7375872\"] \n  20 -> 23 [size =\"7375872\"]\n  20 -> 25 [size =\"7375872\"]\n  21 [size=\"65222656\", alpha=\"0.16\", expect_size=\"32611328\"] \n  21 -> 25 [size =\"32611328\"]\n  22 [size=\"84766720\", alpha=\"0.18\", expect_size=\"42383360\"] \n  22 -> 24 [size =\"42383360\"]\n  23 [size=\"22902784\", alpha=\"0.19\", expect_size=\"11451392\"] \n  24 [size=\"74725376\", alpha=\"0.06\", expect_size=\"37362688\"] \n  25 [size=\"65824768\", alpha=\"0.15\", expect_size=\"32912384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32709120\", alpha=\"0.02\", expect_size=\"13083648\"] \n  1 -> 24 [size =\"13083648\"]\n  2 [size=\"123143680\", alpha=\"0.02\", expect_size=\"49257472\"] \n  2 -> 23 [size =\"49257472\"]\n  2 -> 24 [size =\"49257472\"]\n  2 -> 25 [size =\"49257472\"]\n  3 [size=\"42606080\", alpha=\"0.10\", expect_size=\"17042432\"] \n  3 -> 24 [size =\"17042432\"]\n  3 -> 24 [size =\"17042432\"]\n  3 -> 25 [size =\"17042432\"]\n  4 [size=\"43077120\", alpha=\"0.08\", expect_size=\"17230848\"] \n  4 -> 24 [size =\"17230848\"]\n  4 -> 25 [size =\"17230848\"]\n  5 [size=\"122928640\", alpha=\"0.07\", expect_size=\"49171456\"] \n  5 -> 23 [size =\"49171456\"]\n  5 -> 24 [size =\"49171456\"]\n  6 [size=\"118376960\", alpha=\"0.20\", expect_size=\"47350784\"] \n  7 [size=\"93094400\", alpha=\"0.18\", expect_size=\"37237760\"] \n  8 [size=\"37450240\", alpha=\"0.11\", expect_size=\"14980096\"] \n  8 -> 23 [size =\"14980096\"]\n  8 -> 24 [size =\"14980096\"]\n  9 [size=\"108687360\", alpha=\"0.07\", expect_size=\"43474944\"] \n  9 -> 24 [size =\"43474944\"]\n  10 [size=\"39395840\", alpha=\"0.06\", expect_size=\"15758336\"] \n  10 -> 25 [size =\"15758336\"]\n  11 [size=\"111864320\", alpha=\"0.09\", expect_size=\"44745728\"] \n  12 [size=\"120770560\", alpha=\"0.16\", expect_size=\"48308224\"] \n  12 -> 24 [size =\"48308224\"]\n  13 [size=\"13826560\", alpha=\"0.13\", expect_size=\"5530624\"] \n  13 -> 23 [size =\"5530624\"]\n  13 -> 24 [size =\"5530624\"]\n  14 [size=\"74849280\", alpha=\"0.12\", expect_size=\"29939712\"] \n  14 -> 23 [size =\"29939712\"]\n  14 -> 24 [size =\"29939712\"]\n  15 [size=\"120627200\", alpha=\"0.04\", expect_size=\"48250880\"] \n  15 -> 23 [size =\"48250880\"]\n  15 -> 24 [size =\"48250880\"]\n  15 -> 25 [size =\"48250880\"]\n  16 [size=\"42501120\", alpha=\"0.19\", expect_size=\"17000448\"] \n  16 -> 23 [size =\"17000448\"]\n  17 [size=\"40614400\", alpha=\"0.16\", expect_size=\"16245760\"] \n  17 -> 23 [size =\"16245760\"]\n  18 [size=\"29434880\", alpha=\"0.00\", expect_size=\"11773952\"] \n  18 -> 24 [size =\"11773952\"]\n  19 [size=\"97259520\", alpha=\"0.13\", expect_size=\"38903808\"] \n  19 -> 25 [size =\"38903808\"]\n  20 [size=\"19256320\", alpha=\"0.08\", expect_size=\"7702528\"] \n  20 -> 23 [size =\"7702528\"]\n  21 [size=\"51732480\", alpha=\"0.06\", expect_size=\"20692992\"] \n  21 -> 23 [size =\"20692992\"]\n  22 [size=\"107691520\", alpha=\"0.02\", expect_size=\"43076608\"] \n  22 -> 23 [size =\"43076608\"]\n  23 [size=\"85094400\", alpha=\"0.03\", expect_size=\"34037760\"] \n  24 [size=\"44129280\", alpha=\"0.10\", expect_size=\"17651712\"] \n  25 [size=\"114452480\", alpha=\"0.15\", expect_size=\"45780992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35148800\", alpha=\"0.00\", expect_size=\"14059520\"] \n  1 -> 4 [size =\"14059520\"]\n  1 -> 6 [size =\"14059520\"]\n  1 -> 7 [size =\"14059520\"]\n  1 -> 8 [size =\"14059520\"]\n  2 [size=\"17861120\", alpha=\"0.15\", expect_size=\"7144448\"] \n  2 -> 4 [size =\"7144448\"]\n  2 -> 6 [size =\"7144448\"]\n  2 -> 7 [size =\"7144448\"]\n  2 -> 8 [size =\"7144448\"]\n  3 [size=\"71680000\", alpha=\"0.01\", expect_size=\"28672000\"] \n  3 -> 4 [size =\"28672000\"]\n  3 -> 5 [size =\"28672000\"]\n  3 -> 6 [size =\"28672000\"]\n  3 -> 7 [size =\"28672000\"]\n  4 [size=\"96491520\", alpha=\"0.03\", expect_size=\"38596608\"] \n  4 -> 9 [size =\"38596608\"]\n  5 [size=\"109230080\", alpha=\"0.19\", expect_size=\"43692032\"] \n  5 -> 9 [size =\"43692032\"]\n  5 -> 11 [size =\"43692032\"]\n  6 [size=\"109783040\", alpha=\"0.13\", expect_size=\"43913216\"] \n  6 -> 9 [size =\"43913216\"]\n  6 -> 11 [size =\"43913216\"]\n  7 [size=\"77281280\", alpha=\"0.11\", expect_size=\"30912512\"] \n  7 -> 9 [size =\"30912512\"]\n  7 -> 10 [size =\"30912512\"]\n  8 [size=\"76380160\", alpha=\"0.09\", expect_size=\"30552064\"] \n  8 -> 9 [size =\"30552064\"]\n  8 -> 11 [size =\"30552064\"]\n  9 [size=\"94758400\", alpha=\"0.15\", expect_size=\"37903360\"] \n  9 -> 12 [size =\"37903360\"]\n  9 -> 14 [size =\"37903360\"]\n  10 [size=\"17169920\", alpha=\"0.12\", expect_size=\"6867968\"] \n  10 -> 12 [size =\"6867968\"]\n  10 -> 13 [size =\"6867968\"]\n  10 -> 14 [size =\"6867968\"]\n  11 [size=\"83192320\", alpha=\"0.20\", expect_size=\"33276928\"] \n  11 -> 12 [size =\"33276928\"]\n  11 -> 13 [size =\"33276928\"]\n  11 -> 14 [size =\"33276928\"]\n  12 [size=\"85306880\", alpha=\"0.11\", expect_size=\"34122752\"] \n  12 -> 16 [size =\"34122752\"]\n  12 -> 17 [size =\"34122752\"]\n  12 -> 19 [size =\"34122752\"]\n  13 [size=\"55948800\", alpha=\"0.20\", expect_size=\"22379520\"] \n  13 -> 15 [size =\"22379520\"]\n  13 -> 17 [size =\"22379520\"]\n  14 [size=\"62274560\", alpha=\"0.08\", expect_size=\"24909824\"] \n  14 -> 16 [size =\"24909824\"]\n  14 -> 17 [size =\"24909824\"]\n  14 -> 18 [size =\"24909824\"]\n  14 -> 19 [size =\"24909824\"]\n  15 [size=\"79055360\", alpha=\"0.05\", expect_size=\"31622144\"] \n  15 -> 20 [size =\"31622144\"]\n  15 -> 22 [size =\"31622144\"]\n  16 [size=\"75210240\", alpha=\"0.14\", expect_size=\"30084096\"] \n  16 -> 21 [size =\"30084096\"]\n  16 -> 22 [size =\"30084096\"]\n  17 [size=\"36382720\", alpha=\"0.19\", expect_size=\"14553088\"] \n  17 -> 21 [size =\"14553088\"]\n  17 -> 22 [size =\"14553088\"]\n  17 -> 23 [size =\"14553088\"]\n  18 [size=\"101337600\", alpha=\"0.16\", expect_size=\"40535040\"] \n  18 -> 23 [size =\"40535040\"]\n  19 [size=\"38574080\", alpha=\"0.12\", expect_size=\"15429632\"] \n  19 -> 22 [size =\"15429632\"]\n  20 [size=\"126115840\", alpha=\"0.07\", expect_size=\"50446336\"] \n  20 -> 24 [size =\"50446336\"]\n  20 -> 25 [size =\"50446336\"]\n  21 [size=\"81256960\", alpha=\"0.06\", expect_size=\"32502784\"] \n  21 -> 24 [size =\"32502784\"]\n  21 -> 25 [size =\"32502784\"]\n  22 [size=\"79436800\", alpha=\"0.06\", expect_size=\"31774720\"] \n  22 -> 24 [size =\"31774720\"]\n  23 [size=\"28344320\", alpha=\"0.15\", expect_size=\"11337728\"] \n  23 -> 24 [size =\"11337728\"]\n  24 [size=\"26739200\", alpha=\"0.19\", expect_size=\"10695680\"] \n  25 [size=\"75527680\", alpha=\"0.19\", expect_size=\"30211072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165690027\", alpha=\"0.02\", expect_size=\"49707008\"] \n  1 -> 2 [size =\"49707008\"]\n  2 [size=\"89709227\", alpha=\"0.14\", expect_size=\"26912768\"] \n  2 -> 3 [size =\"26912768\"]\n  2 -> 4 [size =\"26912768\"]\n  3 [size=\"124620800\", alpha=\"0.10\", expect_size=\"37386240\"] \n  3 -> 5 [size =\"37386240\"]\n  3 -> 6 [size =\"37386240\"]\n  4 [size=\"117838507\", alpha=\"0.14\", expect_size=\"35351552\"] \n  4 -> 5 [size =\"35351552\"]\n  5 [size=\"90620587\", alpha=\"0.01\", expect_size=\"27186176\"] \n  5 -> 7 [size =\"27186176\"]\n  6 [size=\"132194987\", alpha=\"0.01\", expect_size=\"39658496\"] \n  6 -> 7 [size =\"39658496\"]\n  7 [size=\"23483733\", alpha=\"0.16\", expect_size=\"7045120\"] \n  7 -> 8 [size =\"7045120\"]\n  7 -> 9 [size =\"7045120\"]\n  8 [size=\"65972907\", alpha=\"0.20\", expect_size=\"19791872\"] \n  8 -> 11 [size =\"19791872\"]\n  9 [size=\"74007893\", alpha=\"0.11\", expect_size=\"22202368\"] \n  9 -> 10 [size =\"22202368\"]\n  9 -> 11 [size =\"22202368\"]\n  10 [size=\"166836907\", alpha=\"0.10\", expect_size=\"50051072\"] \n  11 [size=\"18694827\", alpha=\"0.10\", expect_size=\"5608448\"] \n  11 -> 12 [size =\"5608448\"]\n  12 [size=\"38212267\", alpha=\"0.11\", expect_size=\"11463680\"] \n  12 -> 13 [size =\"11463680\"]\n  12 -> 14 [size =\"11463680\"]\n  13 [size=\"149514240\", alpha=\"0.03\", expect_size=\"44854272\"] \n  13 -> 15 [size =\"44854272\"]\n  14 [size=\"67938987\", alpha=\"0.02\", expect_size=\"20381696\"] \n  14 -> 15 [size =\"20381696\"]\n  15 [size=\"20063573\", alpha=\"0.15\", expect_size=\"6019072\"] \n  15 -> 16 [size =\"6019072\"]\n  16 [size=\"29911040\", alpha=\"0.06\", expect_size=\"8973312\"] \n  16 -> 17 [size =\"8973312\"]\n  17 [size=\"35945813\", alpha=\"0.13\", expect_size=\"10783744\"] \n  17 -> 18 [size =\"10783744\"]\n  17 -> 19 [size =\"10783744\"]\n  18 [size=\"163648853\", alpha=\"0.19\", expect_size=\"49094656\"] \n  18 -> 21 [size =\"49094656\"]\n  19 [size=\"161986560\", alpha=\"0.13\", expect_size=\"48595968\"] \n  19 -> 20 [size =\"48595968\"]\n  19 -> 21 [size =\"48595968\"]\n  20 [size=\"88282453\", alpha=\"0.16\", expect_size=\"26484736\"] \n  20 -> 22 [size =\"26484736\"]\n  21 [size=\"165393067\", alpha=\"0.17\", expect_size=\"49617920\"] \n  21 -> 22 [size =\"49617920\"]\n  22 [size=\"87104853\", alpha=\"0.07\", expect_size=\"26131456\"] \n  22 -> 23 [size =\"26131456\"]\n  22 -> 24 [size =\"26131456\"]\n  23 [size=\"17633280\", alpha=\"0.11\", expect_size=\"5289984\"] \n  24 [size=\"43550720\", alpha=\"0.07\", expect_size=\"13065216\"] \n  24 -> 25 [size =\"13065216\"]\n  25 [size=\"55893333\", alpha=\"0.13\", expect_size=\"16768000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69443584\", alpha=\"0.14\", expect_size=\"34721792\"] \n  1 -> 20 [size =\"34721792\"]\n  1 -> 21 [size =\"34721792\"]\n  1 -> 22 [size =\"34721792\"]\n  1 -> 24 [size =\"34721792\"]\n  2 [size=\"20760576\", alpha=\"0.17\", expect_size=\"10380288\"] \n  2 -> 20 [size =\"10380288\"]\n  2 -> 21 [size =\"10380288\"]\n  3 [size=\"51220480\", alpha=\"0.03\", expect_size=\"25610240\"] \n  3 -> 23 [size =\"25610240\"]\n  3 -> 24 [size =\"25610240\"]\n  3 -> 25 [size =\"25610240\"]\n  4 [size=\"79605760\", alpha=\"0.11\", expect_size=\"39802880\"] \n  4 -> 20 [size =\"39802880\"]\n  4 -> 21 [size =\"39802880\"]\n  4 -> 22 [size =\"39802880\"]\n  4 -> 23 [size =\"39802880\"]\n  4 -> 24 [size =\"39802880\"]\n  5 [size=\"102735872\", alpha=\"0.05\", expect_size=\"51367936\"] \n  5 -> 20 [size =\"51367936\"]\n  5 -> 21 [size =\"51367936\"]\n  5 -> 22 [size =\"51367936\"]\n  5 -> 23 [size =\"51367936\"]\n  5 -> 24 [size =\"51367936\"]\n  6 [size=\"73791488\", alpha=\"0.00\", expect_size=\"36895744\"] \n  6 -> 21 [size =\"36895744\"]\n  6 -> 22 [size =\"36895744\"]\n  6 -> 23 [size =\"36895744\"]\n  6 -> 23 [size =\"36895744\"]\n  6 -> 24 [size =\"36895744\"]\n  7 [size=\"35934208\", alpha=\"0.13\", expect_size=\"17967104\"] \n  7 -> 20 [size =\"17967104\"]\n  7 -> 21 [size =\"17967104\"]\n  8 [size=\"82804736\", alpha=\"0.02\", expect_size=\"41402368\"] \n  8 -> 20 [size =\"41402368\"]\n  8 -> 21 [size =\"41402368\"]\n  8 -> 22 [size =\"41402368\"]\n  9 [size=\"53032960\", alpha=\"0.19\", expect_size=\"26516480\"] \n  9 -> 21 [size =\"26516480\"]\n  10 [size=\"41129984\", alpha=\"0.18\", expect_size=\"20564992\"] \n  10 -> 20 [size =\"20564992\"]\n  11 [size=\"77547520\", alpha=\"0.05\", expect_size=\"38773760\"] \n  11 -> 20 [size =\"38773760\"]\n  11 -> 22 [size =\"38773760\"]\n  11 -> 25 [size =\"38773760\"]\n  12 [size=\"50044928\", alpha=\"0.03\", expect_size=\"25022464\"] \n  12 -> 20 [size =\"25022464\"]\n  12 -> 21 [size =\"25022464\"]\n  12 -> 22 [size =\"25022464\"]\n  12 -> 23 [size =\"25022464\"]\n  12 -> 25 [size =\"25022464\"]\n  13 [size=\"34639872\", alpha=\"0.10\", expect_size=\"17319936\"] \n  13 -> 21 [size =\"17319936\"]\n  13 -> 23 [size =\"17319936\"]\n  13 -> 25 [size =\"17319936\"]\n  14 [size=\"47466496\", alpha=\"0.09\", expect_size=\"23733248\"] \n  14 -> 21 [size =\"23733248\"]\n  14 -> 22 [size =\"23733248\"]\n  14 -> 23 [size =\"23733248\"]\n  14 -> 24 [size =\"23733248\"]\n  14 -> 25 [size =\"23733248\"]\n  15 [size=\"99309568\", alpha=\"0.15\", expect_size=\"49654784\"] \n  15 -> 21 [size =\"49654784\"]\n  15 -> 22 [size =\"49654784\"]\n  16 [size=\"28180480\", alpha=\"0.07\", expect_size=\"14090240\"] \n  16 -> 20 [size =\"14090240\"]\n  16 -> 21 [size =\"14090240\"]\n  16 -> 22 [size =\"14090240\"]\n  16 -> 23 [size =\"14090240\"]\n  17 [size=\"28708864\", alpha=\"0.16\", expect_size=\"14354432\"] \n  17 -> 21 [size =\"14354432\"]\n  17 -> 21 [size =\"14354432\"]\n  17 -> 22 [size =\"14354432\"]\n  17 -> 24 [size =\"14354432\"]\n  18 [size=\"91959296\", alpha=\"0.04\", expect_size=\"45979648\"] \n  18 -> 21 [size =\"45979648\"]\n  18 -> 22 [size =\"45979648\"]\n  18 -> 23 [size =\"45979648\"]\n  18 -> 25 [size =\"45979648\"]\n  19 [size=\"103000064\", alpha=\"0.04\", expect_size=\"51500032\"] \n  19 -> 21 [size =\"51500032\"]\n  19 -> 22 [size =\"51500032\"]\n  19 -> 23 [size =\"51500032\"]\n  19 -> 24 [size =\"51500032\"]\n  19 -> 25 [size =\"51500032\"]\n  20 [size=\"99676160\", alpha=\"0.09\", expect_size=\"49838080\"] \n  21 [size=\"90013696\", alpha=\"0.07\", expect_size=\"45006848\"] \n  22 [size=\"21516288\", alpha=\"0.08\", expect_size=\"10758144\"] \n  23 [size=\"38012928\", alpha=\"0.16\", expect_size=\"19006464\"] \n  24 [size=\"86941696\", alpha=\"0.20\", expect_size=\"43470848\"] \n  25 [size=\"35147776\", alpha=\"0.03\", expect_size=\"17573888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124235093\", alpha=\"0.00\", expect_size=\"37270528\"] \n  1 -> 11 [size =\"37270528\"]\n  1 -> 12 [size =\"37270528\"]\n  1 -> 13 [size =\"37270528\"]\n  1 -> 14 [size =\"37270528\"]\n  2 [size=\"74496000\", alpha=\"0.17\", expect_size=\"22348800\"] \n  2 -> 11 [size =\"22348800\"]\n  2 -> 14 [size =\"22348800\"]\n  3 [size=\"107598507\", alpha=\"0.17\", expect_size=\"32279552\"] \n  3 -> 11 [size =\"32279552\"]\n  3 -> 12 [size =\"32279552\"]\n  3 -> 13 [size =\"32279552\"]\n  4 [size=\"48544427\", alpha=\"0.08\", expect_size=\"14563328\"] \n  4 -> 11 [size =\"14563328\"]\n  4 -> 12 [size =\"14563328\"]\n  4 -> 14 [size =\"14563328\"]\n  5 [size=\"84503893\", alpha=\"0.18\", expect_size=\"25351168\"] \n  5 -> 11 [size =\"25351168\"]\n  6 [size=\"88866133\", alpha=\"0.14\", expect_size=\"26659840\"] \n  6 -> 12 [size =\"26659840\"]\n  6 -> 13 [size =\"26659840\"]\n  7 [size=\"115162453\", alpha=\"0.02\", expect_size=\"34548736\"] \n  7 -> 11 [size =\"34548736\"]\n  7 -> 12 [size =\"34548736\"]\n  8 [size=\"88234667\", alpha=\"0.16\", expect_size=\"26470400\"] \n  8 -> 12 [size =\"26470400\"]\n  8 -> 13 [size =\"26470400\"]\n  8 -> 14 [size =\"26470400\"]\n  9 [size=\"79308800\", alpha=\"0.08\", expect_size=\"23792640\"] \n  9 -> 10 [size =\"23792640\"]\n  9 -> 11 [size =\"23792640\"]\n  9 -> 13 [size =\"23792640\"]\n  9 -> 14 [size =\"23792640\"]\n  10 [size=\"171615573\", alpha=\"0.18\", expect_size=\"51484672\"] \n  10 -> 15 [size =\"51484672\"]\n  10 -> 17 [size =\"51484672\"]\n  10 -> 19 [size =\"51484672\"]\n  10 -> 20 [size =\"51484672\"]\n  10 -> 21 [size =\"51484672\"]\n  10 -> 22 [size =\"51484672\"]\n  11 [size=\"33167360\", alpha=\"0.13\", expect_size=\"9950208\"] \n  11 -> 18 [size =\"9950208\"]\n  11 -> 19 [size =\"9950208\"]\n  11 -> 22 [size =\"9950208\"]\n  12 [size=\"33211733\", alpha=\"0.15\", expect_size=\"9963520\"] \n  12 -> 17 [size =\"9963520\"]\n  12 -> 19 [size =\"9963520\"]\n  12 -> 20 [size =\"9963520\"]\n  12 -> 21 [size =\"9963520\"]\n  12 -> 22 [size =\"9963520\"]\n  13 [size=\"167294293\", alpha=\"0.09\", expect_size=\"50188288\"] \n  13 -> 15 [size =\"50188288\"]\n  13 -> 16 [size =\"50188288\"]\n  13 -> 17 [size =\"50188288\"]\n  13 -> 21 [size =\"50188288\"]\n  13 -> 22 [size =\"50188288\"]\n  14 [size=\"143930027\", alpha=\"0.17\", expect_size=\"43179008\"] \n  14 -> 15 [size =\"43179008\"]\n  14 -> 16 [size =\"43179008\"]\n  14 -> 17 [size =\"43179008\"]\n  15 [size=\"47404373\", alpha=\"0.16\", expect_size=\"14221312\"] \n  15 -> 23 [size =\"14221312\"]\n  16 [size=\"32976213\", alpha=\"0.09\", expect_size=\"9892864\"] \n  16 -> 23 [size =\"9892864\"]\n  16 -> 24 [size =\"9892864\"]\n  17 [size=\"139339093\", alpha=\"0.17\", expect_size=\"41801728\"] \n  17 -> 24 [size =\"41801728\"]\n  17 -> 24 [size =\"41801728\"]\n  18 [size=\"151859200\", alpha=\"0.09\", expect_size=\"45557760\"] \n  19 [size=\"123709440\", alpha=\"0.01\", expect_size=\"37112832\"] \n  19 -> 25 [size =\"37112832\"]\n  20 [size=\"32170667\", alpha=\"0.14\", expect_size=\"9651200\"] \n  21 [size=\"173680640\", alpha=\"0.02\", expect_size=\"52104192\"] \n  22 [size=\"119715840\", alpha=\"0.17\", expect_size=\"35914752\"] \n  23 [size=\"78701227\", alpha=\"0.03\", expect_size=\"23610368\"] \n  24 [size=\"151650987\", alpha=\"0.13\", expect_size=\"45495296\"] \n  25 [size=\"126993067\", alpha=\"0.12\", expect_size=\"38097920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120043520\", alpha=\"0.04\", expect_size=\"48017408\"] \n  1 -> 2 [size =\"48017408\"]\n  2 [size=\"80977920\", alpha=\"0.13\", expect_size=\"32391168\"] \n  2 -> 3 [size =\"32391168\"]\n  3 [size=\"116666880\", alpha=\"0.05\", expect_size=\"46666752\"] \n  3 -> 4 [size =\"46666752\"]\n  4 [size=\"88199680\", alpha=\"0.19\", expect_size=\"35279872\"] \n  4 -> 5 [size =\"35279872\"]\n  5 [size=\"114247680\", alpha=\"0.13\", expect_size=\"45699072\"] \n  5 -> 6 [size =\"45699072\"]\n  6 [size=\"116620800\", alpha=\"0.14\", expect_size=\"46648320\"] \n  6 -> 7 [size =\"46648320\"]\n  7 [size=\"16604160\", alpha=\"0.01\", expect_size=\"6641664\"] \n  7 -> 8 [size =\"6641664\"]\n  8 [size=\"111388160\", alpha=\"0.01\", expect_size=\"44555264\"] \n  8 -> 9 [size =\"44555264\"]\n  9 [size=\"86922240\", alpha=\"0.06\", expect_size=\"34768896\"] \n  9 -> 10 [size =\"34768896\"]\n  10 [size=\"61276160\", alpha=\"0.10\", expect_size=\"24510464\"] \n  10 -> 11 [size =\"24510464\"]\n  11 [size=\"124592640\", alpha=\"0.19\", expect_size=\"49837056\"] \n  11 -> 12 [size =\"49837056\"]\n  12 [size=\"31424000\", alpha=\"0.04\", expect_size=\"12569600\"] \n  12 -> 13 [size =\"12569600\"]\n  13 [size=\"107927040\", alpha=\"0.07\", expect_size=\"43170816\"] \n  13 -> 14 [size =\"43170816\"]\n  14 [size=\"17797120\", alpha=\"0.01\", expect_size=\"7118848\"] \n  14 -> 15 [size =\"7118848\"]\n  15 [size=\"128153600\", alpha=\"0.14\", expect_size=\"51261440\"] \n  15 -> 16 [size =\"51261440\"]\n  16 [size=\"84485120\", alpha=\"0.19\", expect_size=\"33794048\"] \n  16 -> 17 [size =\"33794048\"]\n  17 [size=\"46673920\", alpha=\"0.10\", expect_size=\"18669568\"] \n  17 -> 18 [size =\"18669568\"]\n  18 [size=\"51850240\", alpha=\"0.17\", expect_size=\"20740096\"] \n  18 -> 19 [size =\"20740096\"]\n  19 [size=\"57881600\", alpha=\"0.19\", expect_size=\"23152640\"] \n  19 -> 20 [size =\"23152640\"]\n  20 [size=\"94328320\", alpha=\"0.12\", expect_size=\"37731328\"] \n  20 -> 21 [size =\"37731328\"]\n  21 [size=\"33602560\", alpha=\"0.03\", expect_size=\"13441024\"] \n  21 -> 22 [size =\"13441024\"]\n  22 [size=\"30599680\", alpha=\"0.05\", expect_size=\"12239872\"] \n  22 -> 23 [size =\"12239872\"]\n  23 [size=\"55252480\", alpha=\"0.05\", expect_size=\"22100992\"] \n  23 -> 24 [size =\"22100992\"]\n  24 [size=\"97966080\", alpha=\"0.18\", expect_size=\"39186432\"] \n  24 -> 25 [size =\"39186432\"]\n  25 [size=\"105344000\", alpha=\"0.08\", expect_size=\"42137600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62119936\", alpha=\"0.14\", expect_size=\"31059968\"] \n  1 -> 5 [size =\"31059968\"]\n  1 -> 6 [size =\"31059968\"]\n  2 [size=\"21458944\", alpha=\"0.09\", expect_size=\"10729472\"] \n  3 [size=\"49291264\", alpha=\"0.15\", expect_size=\"24645632\"] \n  3 -> 5 [size =\"24645632\"]\n  3 -> 7 [size =\"24645632\"]\n  4 [size=\"25636864\", alpha=\"0.14\", expect_size=\"12818432\"] \n  4 -> 5 [size =\"12818432\"]\n  5 [size=\"68141056\", alpha=\"0.08\", expect_size=\"34070528\"] \n  5 -> 10 [size =\"34070528\"]\n  6 [size=\"99577856\", alpha=\"0.10\", expect_size=\"49788928\"] \n  6 -> 9 [size =\"49788928\"]\n  7 [size=\"93650944\", alpha=\"0.12\", expect_size=\"46825472\"] \n  7 -> 8 [size =\"46825472\"]\n  7 -> 11 [size =\"46825472\"]\n  8 [size=\"84123648\", alpha=\"0.08\", expect_size=\"42061824\"] \n  8 -> 12 [size =\"42061824\"]\n  8 -> 13 [size =\"42061824\"]\n  9 [size=\"39176192\", alpha=\"0.02\", expect_size=\"19588096\"] \n  9 -> 12 [size =\"19588096\"]\n  9 -> 15 [size =\"19588096\"]\n  10 [size=\"30134272\", alpha=\"0.05\", expect_size=\"15067136\"] \n  10 -> 12 [size =\"15067136\"]\n  10 -> 14 [size =\"15067136\"]\n  10 -> 15 [size =\"15067136\"]\n  11 [size=\"25331712\", alpha=\"0.11\", expect_size=\"12665856\"] \n  11 -> 14 [size =\"12665856\"]\n  12 [size=\"91090944\", alpha=\"0.19\", expect_size=\"45545472\"] \n  12 -> 16 [size =\"45545472\"]\n  12 -> 17 [size =\"45545472\"]\n  12 -> 18 [size =\"45545472\"]\n  13 [size=\"40452096\", alpha=\"0.06\", expect_size=\"20226048\"] \n  13 -> 18 [size =\"20226048\"]\n  14 [size=\"15241216\", alpha=\"0.16\", expect_size=\"7620608\"] \n  14 -> 16 [size =\"7620608\"]\n  14 -> 18 [size =\"7620608\"]\n  15 [size=\"80435200\", alpha=\"0.15\", expect_size=\"40217600\"] \n  16 [size=\"24260608\", alpha=\"0.13\", expect_size=\"12130304\"] \n  16 -> 20 [size =\"12130304\"]\n  17 [size=\"72556544\", alpha=\"0.12\", expect_size=\"36278272\"] \n  17 -> 20 [size =\"36278272\"]\n  17 -> 21 [size =\"36278272\"]\n  18 [size=\"36634624\", alpha=\"0.09\", expect_size=\"18317312\"] \n  18 -> 19 [size =\"18317312\"]\n  19 [size=\"74512384\", alpha=\"0.11\", expect_size=\"37256192\"] \n  19 -> 23 [size =\"37256192\"]\n  19 -> 24 [size =\"37256192\"]\n  19 -> 25 [size =\"37256192\"]\n  20 [size=\"83662848\", alpha=\"0.02\", expect_size=\"41831424\"] \n  20 -> 22 [size =\"41831424\"]\n  20 -> 23 [size =\"41831424\"]\n  20 -> 24 [size =\"41831424\"]\n  20 -> 25 [size =\"41831424\"]\n  21 [size=\"12070912\", alpha=\"0.04\", expect_size=\"6035456\"] \n  21 -> 25 [size =\"6035456\"]\n  22 [size=\"64010240\", alpha=\"0.08\", expect_size=\"32005120\"] \n  23 [size=\"57223168\", alpha=\"0.00\", expect_size=\"28611584\"] \n  24 [size=\"83697664\", alpha=\"0.16\", expect_size=\"41848832\"] \n  25 [size=\"66899968\", alpha=\"0.03\", expect_size=\"33449984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25989120\", alpha=\"0.08\", expect_size=\"7796736\"] \n  1 -> 3 [size =\"7796736\"]\n  2 [size=\"22988800\", alpha=\"0.07\", expect_size=\"6896640\"] \n  2 -> 3 [size =\"6896640\"]\n  3 [size=\"40461653\", alpha=\"0.06\", expect_size=\"12138496\"] \n  3 -> 4 [size =\"12138496\"]\n  4 [size=\"145035947\", alpha=\"0.19\", expect_size=\"43510784\"] \n  4 -> 5 [size =\"43510784\"]\n  5 [size=\"91255467\", alpha=\"0.13\", expect_size=\"27376640\"] \n  5 -> 6 [size =\"27376640\"]\n  5 -> 7 [size =\"27376640\"]\n  6 [size=\"101812907\", alpha=\"0.14\", expect_size=\"30543872\"] \n  6 -> 8 [size =\"30543872\"]\n  6 -> 9 [size =\"30543872\"]\n  7 [size=\"67037867\", alpha=\"0.17\", expect_size=\"20111360\"] \n  7 -> 9 [size =\"20111360\"]\n  8 [size=\"165778773\", alpha=\"0.04\", expect_size=\"49733632\"] \n  9 [size=\"106612053\", alpha=\"0.19\", expect_size=\"31983616\"] \n  9 -> 10 [size =\"31983616\"]\n  10 [size=\"106765653\", alpha=\"0.12\", expect_size=\"32029696\"] \n  10 -> 11 [size =\"32029696\"]\n  10 -> 12 [size =\"32029696\"]\n  11 [size=\"29242027\", alpha=\"0.03\", expect_size=\"8772608\"] \n  11 -> 13 [size =\"8772608\"]\n  12 [size=\"94440107\", alpha=\"0.13\", expect_size=\"28332032\"] \n  13 [size=\"145623040\", alpha=\"0.12\", expect_size=\"43686912\"] \n  13 -> 14 [size =\"43686912\"]\n  14 [size=\"37195093\", alpha=\"0.01\", expect_size=\"11158528\"] \n  14 -> 15 [size =\"11158528\"]\n  14 -> 16 [size =\"11158528\"]\n  15 [size=\"26207573\", alpha=\"0.13\", expect_size=\"7862272\"] \n  15 -> 17 [size =\"7862272\"]\n  16 [size=\"130553173\", alpha=\"0.11\", expect_size=\"39165952\"] \n  16 -> 17 [size =\"39165952\"]\n  17 [size=\"83247787\", alpha=\"0.00\", expect_size=\"24974336\"] \n  17 -> 18 [size =\"24974336\"]\n  17 -> 19 [size =\"24974336\"]\n  18 [size=\"61259093\", alpha=\"0.18\", expect_size=\"18377728\"] \n  18 -> 20 [size =\"18377728\"]\n  19 [size=\"94955520\", alpha=\"0.19\", expect_size=\"28486656\"] \n  19 -> 20 [size =\"28486656\"]\n  20 [size=\"89600000\", alpha=\"0.17\", expect_size=\"26880000\"] \n  20 -> 21 [size =\"26880000\"]\n  20 -> 22 [size =\"26880000\"]\n  21 [size=\"26859520\", alpha=\"0.16\", expect_size=\"8057856\"] \n  21 -> 24 [size =\"8057856\"]\n  22 [size=\"51780267\", alpha=\"0.16\", expect_size=\"15534080\"] \n  22 -> 23 [size =\"15534080\"]\n  22 -> 24 [size =\"15534080\"]\n  23 [size=\"153733120\", alpha=\"0.18\", expect_size=\"46119936\"] \n  24 [size=\"89487360\", alpha=\"0.17\", expect_size=\"26846208\"] \n  24 -> 25 [size =\"26846208\"]\n  25 [size=\"100403200\", alpha=\"0.05\", expect_size=\"30120960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130437120\", alpha=\"0.11\", expect_size=\"39131136\"] \n  1 -> 6 [size =\"39131136\"]\n  1 -> 7 [size =\"39131136\"]\n  1 -> 8 [size =\"39131136\"]\n  2 [size=\"40062293\", alpha=\"0.11\", expect_size=\"12018688\"] \n  3 [size=\"34143573\", alpha=\"0.01\", expect_size=\"10243072\"] \n  3 -> 6 [size =\"10243072\"]\n  3 -> 8 [size =\"10243072\"]\n  4 [size=\"154729813\", alpha=\"0.19\", expect_size=\"46418944\"] \n  4 -> 6 [size =\"46418944\"]\n  4 -> 7 [size =\"46418944\"]\n  4 -> 8 [size =\"46418944\"]\n  5 [size=\"55480320\", alpha=\"0.12\", expect_size=\"16644096\"] \n  5 -> 7 [size =\"16644096\"]\n  5 -> 8 [size =\"16644096\"]\n  6 [size=\"133225813\", alpha=\"0.08\", expect_size=\"39967744\"] \n  6 -> 9 [size =\"39967744\"]\n  6 -> 10 [size =\"39967744\"]\n  6 -> 11 [size =\"39967744\"]\n  7 [size=\"60873387\", alpha=\"0.08\", expect_size=\"18262016\"] \n  7 -> 10 [size =\"18262016\"]\n  7 -> 11 [size =\"18262016\"]\n  8 [size=\"36986880\", alpha=\"0.07\", expect_size=\"11096064\"] \n  8 -> 10 [size =\"11096064\"]\n  8 -> 11 [size =\"11096064\"]\n  9 [size=\"29538987\", alpha=\"0.15\", expect_size=\"8861696\"] \n  9 -> 12 [size =\"8861696\"]\n  9 -> 13 [size =\"8861696\"]\n  9 -> 14 [size =\"8861696\"]\n  9 -> 15 [size =\"8861696\"]\n  10 [size=\"136366080\", alpha=\"0.15\", expect_size=\"40909824\"] \n  10 -> 12 [size =\"40909824\"]\n  10 -> 13 [size =\"40909824\"]\n  10 -> 14 [size =\"40909824\"]\n  10 -> 15 [size =\"40909824\"]\n  11 [size=\"118551893\", alpha=\"0.16\", expect_size=\"35565568\"] \n  11 -> 12 [size =\"35565568\"]\n  11 -> 15 [size =\"35565568\"]\n  12 [size=\"44281173\", alpha=\"0.16\", expect_size=\"13284352\"] \n  12 -> 16 [size =\"13284352\"]\n  12 -> 17 [size =\"13284352\"]\n  13 [size=\"132270080\", alpha=\"0.12\", expect_size=\"39681024\"] \n  13 -> 18 [size =\"39681024\"]\n  14 [size=\"141759147\", alpha=\"0.14\", expect_size=\"42527744\"] \n  14 -> 17 [size =\"42527744\"]\n  14 -> 18 [size =\"42527744\"]\n  14 -> 19 [size =\"42527744\"]\n  15 [size=\"133976747\", alpha=\"0.07\", expect_size=\"40193024\"] \n  15 -> 18 [size =\"40193024\"]\n  16 [size=\"71987200\", alpha=\"0.05\", expect_size=\"21596160\"] \n  16 -> 20 [size =\"21596160\"]\n  16 -> 21 [size =\"21596160\"]\n  17 [size=\"136639147\", alpha=\"0.19\", expect_size=\"40991744\"] \n  17 -> 21 [size =\"40991744\"]\n  18 [size=\"38843733\", alpha=\"0.01\", expect_size=\"11653120\"] \n  18 -> 20 [size =\"11653120\"]\n  19 [size=\"91890347\", alpha=\"0.11\", expect_size=\"27567104\"] \n  19 -> 20 [size =\"27567104\"]\n  20 [size=\"50551467\", alpha=\"0.14\", expect_size=\"15165440\"] \n  20 -> 23 [size =\"15165440\"]\n  20 -> 24 [size =\"15165440\"]\n  20 -> 25 [size =\"15165440\"]\n  21 [size=\"169649493\", alpha=\"0.11\", expect_size=\"50894848\"] \n  21 -> 22 [size =\"50894848\"]\n  21 -> 23 [size =\"50894848\"]\n  21 -> 24 [size =\"50894848\"]\n  21 -> 25 [size =\"50894848\"]\n  22 [size=\"134864213\", alpha=\"0.11\", expect_size=\"40459264\"] \n  23 [size=\"102280533\", alpha=\"0.13\", expect_size=\"30684160\"] \n  24 [size=\"39062187\", alpha=\"0.12\", expect_size=\"11718656\"] \n  25 [size=\"146039467\", alpha=\"0.17\", expect_size=\"43811840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53302613\", alpha=\"0.15\", expect_size=\"15990784\"] \n  1 -> 2 [size =\"15990784\"]\n  2 [size=\"64723627\", alpha=\"0.11\", expect_size=\"19417088\"] \n  2 -> 3 [size =\"19417088\"]\n  3 [size=\"90982400\", alpha=\"0.01\", expect_size=\"27294720\"] \n  3 -> 4 [size =\"27294720\"]\n  4 [size=\"62112427\", alpha=\"0.10\", expect_size=\"18633728\"] \n  4 -> 5 [size =\"18633728\"]\n  5 [size=\"78663680\", alpha=\"0.13\", expect_size=\"23599104\"] \n  5 -> 6 [size =\"23599104\"]\n  6 [size=\"109015040\", alpha=\"0.10\", expect_size=\"32704512\"] \n  6 -> 7 [size =\"32704512\"]\n  7 [size=\"165191680\", alpha=\"0.16\", expect_size=\"49557504\"] \n  7 -> 8 [size =\"49557504\"]\n  8 [size=\"161099093\", alpha=\"0.08\", expect_size=\"48329728\"] \n  8 -> 9 [size =\"48329728\"]\n  9 [size=\"55808000\", alpha=\"0.04\", expect_size=\"16742400\"] \n  9 -> 10 [size =\"16742400\"]\n  10 [size=\"167028053\", alpha=\"0.17\", expect_size=\"50108416\"] \n  10 -> 11 [size =\"50108416\"]\n  11 [size=\"66710187\", alpha=\"0.10\", expect_size=\"20013056\"] \n  11 -> 12 [size =\"20013056\"]\n  12 [size=\"28992853\", alpha=\"0.14\", expect_size=\"8697856\"] \n  12 -> 13 [size =\"8697856\"]\n  13 [size=\"116968107\", alpha=\"0.03\", expect_size=\"35090432\"] \n  13 -> 14 [size =\"35090432\"]\n  14 [size=\"126948693\", alpha=\"0.02\", expect_size=\"38084608\"] \n  14 -> 15 [size =\"38084608\"]\n  15 [size=\"52104533\", alpha=\"0.07\", expect_size=\"15631360\"] \n  15 -> 16 [size =\"15631360\"]\n  16 [size=\"155238400\", alpha=\"0.16\", expect_size=\"46571520\"] \n  16 -> 17 [size =\"46571520\"]\n  17 [size=\"75421013\", alpha=\"0.08\", expect_size=\"22626304\"] \n  17 -> 18 [size =\"22626304\"]\n  18 [size=\"40833707\", alpha=\"0.16\", expect_size=\"12250112\"] \n  18 -> 19 [size =\"12250112\"]\n  19 [size=\"102157653\", alpha=\"0.04\", expect_size=\"30647296\"] \n  19 -> 20 [size =\"30647296\"]\n  20 [size=\"135601493\", alpha=\"0.15\", expect_size=\"40680448\"] \n  20 -> 21 [size =\"40680448\"]\n  21 [size=\"110626133\", alpha=\"0.11\", expect_size=\"33187840\"] \n  21 -> 22 [size =\"33187840\"]\n  22 [size=\"30221653\", alpha=\"0.13\", expect_size=\"9066496\"] \n  22 -> 23 [size =\"9066496\"]\n  23 [size=\"141950293\", alpha=\"0.04\", expect_size=\"42585088\"] \n  23 -> 24 [size =\"42585088\"]\n  24 [size=\"165662720\", alpha=\"0.01\", expect_size=\"49698816\"] \n  24 -> 25 [size =\"49698816\"]\n  25 [size=\"24995840\", alpha=\"0.06\", expect_size=\"7498752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93892608\", alpha=\"0.17\", expect_size=\"46946304\"] \n  2 [size=\"48121856\", alpha=\"0.07\", expect_size=\"24060928\"] \n  2 -> 13 [size =\"24060928\"]\n  2 -> 14 [size =\"24060928\"]\n  2 -> 16 [size =\"24060928\"]\n  2 -> 17 [size =\"24060928\"]\n  3 [size=\"27633664\", alpha=\"0.13\", expect_size=\"13816832\"] \n  3 -> 14 [size =\"13816832\"]\n  3 -> 16 [size =\"13816832\"]\n  3 -> 17 [size =\"13816832\"]\n  4 [size=\"87199744\", alpha=\"0.08\", expect_size=\"43599872\"] \n  4 -> 14 [size =\"43599872\"]\n  4 -> 16 [size =\"43599872\"]\n  4 -> 17 [size =\"43599872\"]\n  5 [size=\"19769344\", alpha=\"0.14\", expect_size=\"9884672\"] \n  5 -> 12 [size =\"9884672\"]\n  5 -> 13 [size =\"9884672\"]\n  5 -> 14 [size =\"9884672\"]\n  5 -> 16 [size =\"9884672\"]\n  6 [size=\"47063040\", alpha=\"0.06\", expect_size=\"23531520\"] \n  6 -> 12 [size =\"23531520\"]\n  6 -> 15 [size =\"23531520\"]\n  7 [size=\"61904896\", alpha=\"0.16\", expect_size=\"30952448\"] \n  7 -> 12 [size =\"30952448\"]\n  7 -> 15 [size =\"30952448\"]\n  8 [size=\"28381184\", alpha=\"0.13\", expect_size=\"14190592\"] \n  8 -> 14 [size =\"14190592\"]\n  8 -> 17 [size =\"14190592\"]\n  9 [size=\"56647680\", alpha=\"0.06\", expect_size=\"28323840\"] \n  9 -> 13 [size =\"28323840\"]\n  9 -> 14 [size =\"28323840\"]\n  9 -> 15 [size =\"28323840\"]\n  9 -> 17 [size =\"28323840\"]\n  10 [size=\"45719552\", alpha=\"0.08\", expect_size=\"22859776\"] \n  10 -> 13 [size =\"22859776\"]\n  10 -> 16 [size =\"22859776\"]\n  11 [size=\"88875008\", alpha=\"0.06\", expect_size=\"44437504\"] \n  11 -> 13 [size =\"44437504\"]\n  11 -> 17 [size =\"44437504\"]\n  12 [size=\"72648704\", alpha=\"0.01\", expect_size=\"36324352\"] \n  13 [size=\"12562432\", alpha=\"0.04\", expect_size=\"6281216\"] \n  13 -> 23 [size =\"6281216\"]\n  14 [size=\"74946560\", alpha=\"0.10\", expect_size=\"37473280\"] \n  14 -> 19 [size =\"37473280\"]\n  15 [size=\"17838080\", alpha=\"0.03\", expect_size=\"8919040\"] \n  15 -> 21 [size =\"8919040\"]\n  15 -> 22 [size =\"8919040\"]\n  15 -> 23 [size =\"8919040\"]\n  16 [size=\"85706752\", alpha=\"0.02\", expect_size=\"42853376\"] \n  16 -> 19 [size =\"42853376\"]\n  16 -> 20 [size =\"42853376\"]\n  16 -> 21 [size =\"42853376\"]\n  17 [size=\"21381120\", alpha=\"0.20\", expect_size=\"10690560\"] \n  17 -> 18 [size =\"10690560\"]\n  17 -> 20 [size =\"10690560\"]\n  17 -> 21 [size =\"10690560\"]\n  18 [size=\"99235840\", alpha=\"0.01\", expect_size=\"49617920\"] \n  18 -> 24 [size =\"49617920\"]\n  19 [size=\"66748416\", alpha=\"0.18\", expect_size=\"33374208\"] \n  20 [size=\"94783488\", alpha=\"0.16\", expect_size=\"47391744\"] \n  21 [size=\"38901760\", alpha=\"0.12\", expect_size=\"19450880\"] \n  21 -> 25 [size =\"19450880\"]\n  22 [size=\"68329472\", alpha=\"0.16\", expect_size=\"34164736\"] \n  23 [size=\"73656320\", alpha=\"0.03\", expect_size=\"36828160\"] \n  23 -> 24 [size =\"36828160\"]\n  24 [size=\"94373888\", alpha=\"0.07\", expect_size=\"47186944\"] \n  25 [size=\"46555136\", alpha=\"0.12\", expect_size=\"23277568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25085440\", alpha=\"0.17\", expect_size=\"10034176\"] \n  2 [size=\"19581440\", alpha=\"0.07\", expect_size=\"7832576\"] \n  2 -> 10 [size =\"7832576\"]\n  2 -> 12 [size =\"7832576\"]\n  2 -> 13 [size =\"7832576\"]\n  2 -> 15 [size =\"7832576\"]\n  2 -> 16 [size =\"7832576\"]\n  3 [size=\"17623040\", alpha=\"0.20\", expect_size=\"7049216\"] \n  3 -> 10 [size =\"7049216\"]\n  3 -> 12 [size =\"7049216\"]\n  3 -> 16 [size =\"7049216\"]\n  4 [size=\"68592640\", alpha=\"0.15\", expect_size=\"27437056\"] \n  4 -> 10 [size =\"27437056\"]\n  4 -> 13 [size =\"27437056\"]\n  4 -> 15 [size =\"27437056\"]\n  5 [size=\"51097600\", alpha=\"0.04\", expect_size=\"20439040\"] \n  5 -> 10 [size =\"20439040\"]\n  5 -> 11 [size =\"20439040\"]\n  5 -> 13 [size =\"20439040\"]\n  5 -> 14 [size =\"20439040\"]\n  6 [size=\"85667840\", alpha=\"0.03\", expect_size=\"34267136\"] \n  6 -> 10 [size =\"34267136\"]\n  6 -> 11 [size =\"34267136\"]\n  6 -> 14 [size =\"34267136\"]\n  6 -> 14 [size =\"34267136\"]\n  7 [size=\"64796160\", alpha=\"0.13\", expect_size=\"25918464\"] \n  7 -> 12 [size =\"25918464\"]\n  7 -> 13 [size =\"25918464\"]\n  7 -> 14 [size =\"25918464\"]\n  8 [size=\"107205120\", alpha=\"0.00\", expect_size=\"42882048\"] \n  8 -> 14 [size =\"42882048\"]\n  8 -> 15 [size =\"42882048\"]\n  9 [size=\"79505920\", alpha=\"0.10\", expect_size=\"31802368\"] \n  9 -> 11 [size =\"31802368\"]\n  9 -> 13 [size =\"31802368\"]\n  9 -> 15 [size =\"31802368\"]\n  9 -> 16 [size =\"31802368\"]\n  10 [size=\"18808320\", alpha=\"0.18\", expect_size=\"7523328\"] \n  10 -> 17 [size =\"7523328\"]\n  10 -> 19 [size =\"7523328\"]\n  10 -> 24 [size =\"7523328\"]\n  11 [size=\"103713280\", alpha=\"0.03\", expect_size=\"41485312\"] \n  11 -> 17 [size =\"41485312\"]\n  11 -> 18 [size =\"41485312\"]\n  11 -> 19 [size =\"41485312\"]\n  11 -> 20 [size =\"41485312\"]\n  11 -> 24 [size =\"41485312\"]\n  12 [size=\"86021120\", alpha=\"0.13\", expect_size=\"34408448\"] \n  12 -> 17 [size =\"34408448\"]\n  12 -> 18 [size =\"34408448\"]\n  12 -> 22 [size =\"34408448\"]\n  13 [size=\"128596480\", alpha=\"0.17\", expect_size=\"51438592\"] \n  13 -> 17 [size =\"51438592\"]\n  13 -> 19 [size =\"51438592\"]\n  13 -> 20 [size =\"51438592\"]\n  13 -> 22 [size =\"51438592\"]\n  13 -> 23 [size =\"51438592\"]\n  13 -> 24 [size =\"51438592\"]\n  13 -> 25 [size =\"51438592\"]\n  14 [size=\"127810560\", alpha=\"0.05\", expect_size=\"51124224\"] \n  14 -> 20 [size =\"51124224\"]\n  14 -> 22 [size =\"51124224\"]\n  14 -> 25 [size =\"51124224\"]\n  15 [size=\"100060160\", alpha=\"0.15\", expect_size=\"40024064\"] \n  15 -> 19 [size =\"40024064\"]\n  15 -> 21 [size =\"40024064\"]\n  15 -> 23 [size =\"40024064\"]\n  15 -> 25 [size =\"40024064\"]\n  16 [size=\"121274880\", alpha=\"0.19\", expect_size=\"48509952\"] \n  16 -> 17 [size =\"48509952\"]\n  16 -> 19 [size =\"48509952\"]\n  16 -> 23 [size =\"48509952\"]\n  16 -> 24 [size =\"48509952\"]\n  16 -> 25 [size =\"48509952\"]\n  17 [size=\"18393600\", alpha=\"0.18\", expect_size=\"7357440\"] \n  18 [size=\"92928000\", alpha=\"0.12\", expect_size=\"37171200\"] \n  19 [size=\"94008320\", alpha=\"0.06\", expect_size=\"37603328\"] \n  20 [size=\"35468800\", alpha=\"0.12\", expect_size=\"14187520\"] \n  21 [size=\"21332480\", alpha=\"0.20\", expect_size=\"8532992\"] \n  22 [size=\"37473280\", alpha=\"0.09\", expect_size=\"14989312\"] \n  23 [size=\"111961600\", alpha=\"0.18\", expect_size=\"44784640\"] \n  24 [size=\"92958720\", alpha=\"0.18\", expect_size=\"37183488\"] \n  25 [size=\"124042240\", alpha=\"0.03\", expect_size=\"49616896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14624768\", alpha=\"0.01\", expect_size=\"7312384\"] \n  1 -> 3 [size =\"7312384\"]\n  2 [size=\"92270592\", alpha=\"0.05\", expect_size=\"46135296\"] \n  2 -> 3 [size =\"46135296\"]\n  3 [size=\"21737472\", alpha=\"0.09\", expect_size=\"10868736\"] \n  3 -> 4 [size =\"10868736\"]\n  4 [size=\"92952576\", alpha=\"0.06\", expect_size=\"46476288\"] \n  4 -> 5 [size =\"46476288\"]\n  4 -> 6 [size =\"46476288\"]\n  5 [size=\"75984896\", alpha=\"0.12\", expect_size=\"37992448\"] \n  5 -> 7 [size =\"37992448\"]\n  5 -> 8 [size =\"37992448\"]\n  6 [size=\"51511296\", alpha=\"0.08\", expect_size=\"25755648\"] \n  6 -> 7 [size =\"25755648\"]\n  6 -> 8 [size =\"25755648\"]\n  7 [size=\"30343168\", alpha=\"0.17\", expect_size=\"15171584\"] \n  7 -> 9 [size =\"15171584\"]\n  7 -> 10 [size =\"15171584\"]\n  8 [size=\"49805312\", alpha=\"0.04\", expect_size=\"24902656\"] \n  8 -> 9 [size =\"24902656\"]\n  9 [size=\"28235776\", alpha=\"0.09\", expect_size=\"14117888\"] \n  9 -> 11 [size =\"14117888\"]\n  10 [size=\"50847744\", alpha=\"0.13\", expect_size=\"25423872\"] \n  10 -> 11 [size =\"25423872\"]\n  10 -> 12 [size =\"25423872\"]\n  11 [size=\"50825216\", alpha=\"0.18\", expect_size=\"25412608\"] \n  11 -> 13 [size =\"25412608\"]\n  12 [size=\"55050240\", alpha=\"0.16\", expect_size=\"27525120\"] \n  12 -> 13 [size =\"27525120\"]\n  13 [size=\"79104000\", alpha=\"0.14\", expect_size=\"39552000\"] \n  13 -> 14 [size =\"39552000\"]\n  14 [size=\"27367424\", alpha=\"0.07\", expect_size=\"13683712\"] \n  14 -> 15 [size =\"13683712\"]\n  15 [size=\"53616640\", alpha=\"0.03\", expect_size=\"26808320\"] \n  15 -> 16 [size =\"26808320\"]\n  16 [size=\"16146432\", alpha=\"0.13\", expect_size=\"8073216\"] \n  16 -> 17 [size =\"8073216\"]\n  17 [size=\"53364736\", alpha=\"0.03\", expect_size=\"26682368\"] \n  17 -> 18 [size =\"26682368\"]\n  17 -> 19 [size =\"26682368\"]\n  18 [size=\"40720384\", alpha=\"0.19\", expect_size=\"20360192\"] \n  19 [size=\"57972736\", alpha=\"0.14\", expect_size=\"28986368\"] \n  19 -> 20 [size =\"28986368\"]\n  20 [size=\"98588672\", alpha=\"0.17\", expect_size=\"49294336\"] \n  20 -> 21 [size =\"49294336\"]\n  21 [size=\"64448512\", alpha=\"0.00\", expect_size=\"32224256\"] \n  21 -> 22 [size =\"32224256\"]\n  22 [size=\"55965696\", alpha=\"0.01\", expect_size=\"27982848\"] \n  22 -> 23 [size =\"27982848\"]\n  23 [size=\"35510272\", alpha=\"0.04\", expect_size=\"17755136\"] \n  23 -> 24 [size =\"17755136\"]\n  24 [size=\"102576128\", alpha=\"0.04\", expect_size=\"51288064\"] \n  24 -> 25 [size =\"51288064\"]\n  25 [size=\"40321024\", alpha=\"0.19\", expect_size=\"20160512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63720960\", alpha=\"0.10\", expect_size=\"25488384\"] \n  1 -> 18 [size =\"25488384\"]\n  1 -> 19 [size =\"25488384\"]\n  1 -> 22 [size =\"25488384\"]\n  2 [size=\"40471040\", alpha=\"0.03\", expect_size=\"16188416\"] \n  2 -> 18 [size =\"16188416\"]\n  2 -> 19 [size =\"16188416\"]\n  2 -> 20 [size =\"16188416\"]\n  2 -> 22 [size =\"16188416\"]\n  2 -> 23 [size =\"16188416\"]\n  2 -> 25 [size =\"16188416\"]\n  3 [size=\"22712320\", alpha=\"0.15\", expect_size=\"9084928\"] \n  3 -> 17 [size =\"9084928\"]\n  3 -> 19 [size =\"9084928\"]\n  3 -> 20 [size =\"9084928\"]\n  3 -> 25 [size =\"9084928\"]\n  4 [size=\"29544960\", alpha=\"0.13\", expect_size=\"11817984\"] \n  4 -> 17 [size =\"11817984\"]\n  4 -> 19 [size =\"11817984\"]\n  4 -> 22 [size =\"11817984\"]\n  4 -> 23 [size =\"11817984\"]\n  4 -> 25 [size =\"11817984\"]\n  5 [size=\"99159040\", alpha=\"0.14\", expect_size=\"39663616\"] \n  5 -> 19 [size =\"39663616\"]\n  5 -> 22 [size =\"39663616\"]\n  5 -> 23 [size =\"39663616\"]\n  5 -> 24 [size =\"39663616\"]\n  5 -> 25 [size =\"39663616\"]\n  6 [size=\"99806720\", alpha=\"0.17\", expect_size=\"39922688\"] \n  6 -> 19 [size =\"39922688\"]\n  6 -> 21 [size =\"39922688\"]\n  6 -> 23 [size =\"39922688\"]\n  6 -> 25 [size =\"39922688\"]\n  7 [size=\"62067200\", alpha=\"0.15\", expect_size=\"24826880\"] \n  7 -> 17 [size =\"24826880\"]\n  7 -> 19 [size =\"24826880\"]\n  7 -> 23 [size =\"24826880\"]\n  8 [size=\"85488640\", alpha=\"0.11\", expect_size=\"34195456\"] \n  8 -> 17 [size =\"34195456\"]\n  8 -> 21 [size =\"34195456\"]\n  8 -> 22 [size =\"34195456\"]\n  8 -> 23 [size =\"34195456\"]\n  8 -> 25 [size =\"34195456\"]\n  9 [size=\"112768000\", alpha=\"0.11\", expect_size=\"45107200\"] \n  9 -> 17 [size =\"45107200\"]\n  9 -> 20 [size =\"45107200\"]\n  9 -> 22 [size =\"45107200\"]\n  9 -> 25 [size =\"45107200\"]\n  10 [size=\"43164160\", alpha=\"0.12\", expect_size=\"17265664\"] \n  10 -> 17 [size =\"17265664\"]\n  10 -> 19 [size =\"17265664\"]\n  10 -> 22 [size =\"17265664\"]\n  11 [size=\"46397440\", alpha=\"0.19\", expect_size=\"18558976\"] \n  11 -> 17 [size =\"18558976\"]\n  11 -> 19 [size =\"18558976\"]\n  11 -> 20 [size =\"18558976\"]\n  11 -> 22 [size =\"18558976\"]\n  12 [size=\"104322560\", alpha=\"0.19\", expect_size=\"41729024\"] \n  12 -> 17 [size =\"41729024\"]\n  13 [size=\"124656640\", alpha=\"0.17\", expect_size=\"49862656\"] \n  13 -> 17 [size =\"49862656\"]\n  13 -> 20 [size =\"49862656\"]\n  13 -> 24 [size =\"49862656\"]\n  13 -> 25 [size =\"49862656\"]\n  14 [size=\"94256640\", alpha=\"0.08\", expect_size=\"37702656\"] \n  14 -> 17 [size =\"37702656\"]\n  14 -> 19 [size =\"37702656\"]\n  14 -> 20 [size =\"37702656\"]\n  14 -> 21 [size =\"37702656\"]\n  14 -> 23 [size =\"37702656\"]\n  14 -> 25 [size =\"37702656\"]\n  15 [size=\"50342400\", alpha=\"0.11\", expect_size=\"20136960\"] \n  15 -> 17 [size =\"20136960\"]\n  15 -> 22 [size =\"20136960\"]\n  15 -> 23 [size =\"20136960\"]\n  15 -> 25 [size =\"20136960\"]\n  16 [size=\"14085120\", alpha=\"0.19\", expect_size=\"5634048\"] \n  16 -> 17 [size =\"5634048\"]\n  16 -> 18 [size =\"5634048\"]\n  16 -> 19 [size =\"5634048\"]\n  17 [size=\"115978240\", alpha=\"0.02\", expect_size=\"46391296\"] \n  18 [size=\"88540160\", alpha=\"0.16\", expect_size=\"35416064\"] \n  19 [size=\"38010880\", alpha=\"0.03\", expect_size=\"15204352\"] \n  20 [size=\"103016960\", alpha=\"0.13\", expect_size=\"41206784\"] \n  21 [size=\"54182400\", alpha=\"0.11\", expect_size=\"21672960\"] \n  22 [size=\"49986560\", alpha=\"0.14\", expect_size=\"19994624\"] \n  23 [size=\"45178880\", alpha=\"0.19\", expect_size=\"18071552\"] \n  24 [size=\"25287680\", alpha=\"0.07\", expect_size=\"10115072\"] \n  25 [size=\"72640000\", alpha=\"0.09\", expect_size=\"29056000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24838144\", alpha=\"0.15\", expect_size=\"12419072\"] \n  1 -> 3 [size =\"12419072\"]\n  1 -> 4 [size =\"12419072\"]\n  2 [size=\"71811072\", alpha=\"0.14\", expect_size=\"35905536\"] \n  2 -> 3 [size =\"35905536\"]\n  2 -> 4 [size =\"35905536\"]\n  3 [size=\"67688448\", alpha=\"0.10\", expect_size=\"33844224\"] \n  3 -> 5 [size =\"33844224\"]\n  3 -> 6 [size =\"33844224\"]\n  4 [size=\"41216000\", alpha=\"0.01\", expect_size=\"20608000\"] \n  4 -> 5 [size =\"20608000\"]\n  5 [size=\"64458752\", alpha=\"0.07\", expect_size=\"32229376\"] \n  5 -> 7 [size =\"32229376\"]\n  5 -> 8 [size =\"32229376\"]\n  6 [size=\"17223680\", alpha=\"0.07\", expect_size=\"8611840\"] \n  6 -> 8 [size =\"8611840\"]\n  6 -> 9 [size =\"8611840\"]\n  6 -> 10 [size =\"8611840\"]\n  7 [size=\"24199168\", alpha=\"0.10\", expect_size=\"12099584\"] \n  7 -> 12 [size =\"12099584\"]\n  8 [size=\"38281216\", alpha=\"0.15\", expect_size=\"19140608\"] \n  9 [size=\"87011328\", alpha=\"0.16\", expect_size=\"43505664\"] \n  9 -> 11 [size =\"43505664\"]\n  10 [size=\"98539520\", alpha=\"0.16\", expect_size=\"49269760\"] \n  11 [size=\"99710976\", alpha=\"0.07\", expect_size=\"49855488\"] \n  11 -> 13 [size =\"49855488\"]\n  11 -> 14 [size =\"49855488\"]\n  12 [size=\"74663936\", alpha=\"0.07\", expect_size=\"37331968\"] \n  12 -> 14 [size =\"37331968\"]\n  13 [size=\"47255552\", alpha=\"0.11\", expect_size=\"23627776\"] \n  13 -> 15 [size =\"23627776\"]\n  13 -> 16 [size =\"23627776\"]\n  14 [size=\"93904896\", alpha=\"0.09\", expect_size=\"46952448\"] \n  14 -> 15 [size =\"46952448\"]\n  14 -> 16 [size =\"46952448\"]\n  15 [size=\"100808704\", alpha=\"0.09\", expect_size=\"50404352\"] \n  15 -> 18 [size =\"50404352\"]\n  15 -> 19 [size =\"50404352\"]\n  15 -> 20 [size =\"50404352\"]\n  15 -> 21 [size =\"50404352\"]\n  16 [size=\"40689664\", alpha=\"0.16\", expect_size=\"20344832\"] \n  16 -> 17 [size =\"20344832\"]\n  16 -> 18 [size =\"20344832\"]\n  16 -> 19 [size =\"20344832\"]\n  16 -> 20 [size =\"20344832\"]\n  16 -> 21 [size =\"20344832\"]\n  17 [size=\"74235904\", alpha=\"0.05\", expect_size=\"37117952\"] \n  17 -> 22 [size =\"37117952\"]\n  17 -> 23 [size =\"37117952\"]\n  18 [size=\"27377664\", alpha=\"0.18\", expect_size=\"13688832\"] \n  18 -> 22 [size =\"13688832\"]\n  18 -> 23 [size =\"13688832\"]\n  19 [size=\"96464896\", alpha=\"0.12\", expect_size=\"48232448\"] \n  19 -> 22 [size =\"48232448\"]\n  19 -> 23 [size =\"48232448\"]\n  20 [size=\"75773952\", alpha=\"0.05\", expect_size=\"37886976\"] \n  20 -> 22 [size =\"37886976\"]\n  20 -> 23 [size =\"37886976\"]\n  21 [size=\"58884096\", alpha=\"0.01\", expect_size=\"29442048\"] \n  21 -> 22 [size =\"29442048\"]\n  21 -> 23 [size =\"29442048\"]\n  22 [size=\"94201856\", alpha=\"0.11\", expect_size=\"47100928\"] \n  22 -> 24 [size =\"47100928\"]\n  22 -> 25 [size =\"47100928\"]\n  23 [size=\"31092736\", alpha=\"0.12\", expect_size=\"15546368\"] \n  23 -> 24 [size =\"15546368\"]\n  23 -> 25 [size =\"15546368\"]\n  24 [size=\"80732160\", alpha=\"0.19\", expect_size=\"40366080\"] \n  25 [size=\"27385856\", alpha=\"0.19\", expect_size=\"13692928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48165547\", alpha=\"0.05\", expect_size=\"14449664\"] \n  1 -> 6 [size =\"14449664\"]\n  1 -> 7 [size =\"14449664\"]\n  1 -> 8 [size =\"14449664\"]\n  1 -> 9 [size =\"14449664\"]\n  2 [size=\"90808320\", alpha=\"0.15\", expect_size=\"27242496\"] \n  3 [size=\"130123093\", alpha=\"0.11\", expect_size=\"39036928\"] \n  3 -> 6 [size =\"39036928\"]\n  3 -> 9 [size =\"39036928\"]\n  3 -> 10 [size =\"39036928\"]\n  4 [size=\"138205867\", alpha=\"0.04\", expect_size=\"41461760\"] \n  4 -> 6 [size =\"41461760\"]\n  4 -> 9 [size =\"41461760\"]\n  4 -> 10 [size =\"41461760\"]\n  5 [size=\"106274133\", alpha=\"0.14\", expect_size=\"31882240\"] \n  5 -> 6 [size =\"31882240\"]\n  5 -> 9 [size =\"31882240\"]\n  5 -> 10 [size =\"31882240\"]\n  6 [size=\"74342400\", alpha=\"0.01\", expect_size=\"22302720\"] \n  6 -> 12 [size =\"22302720\"]\n  7 [size=\"60146347\", alpha=\"0.05\", expect_size=\"18043904\"] \n  7 -> 12 [size =\"18043904\"]\n  8 [size=\"78970880\", alpha=\"0.00\", expect_size=\"23691264\"] \n  8 -> 11 [size =\"23691264\"]\n  8 -> 12 [size =\"23691264\"]\n  9 [size=\"56251733\", alpha=\"0.01\", expect_size=\"16875520\"] \n  9 -> 12 [size =\"16875520\"]\n  10 [size=\"113148587\", alpha=\"0.15\", expect_size=\"33944576\"] \n  10 -> 11 [size =\"33944576\"]\n  10 -> 12 [size =\"33944576\"]\n  11 [size=\"154958507\", alpha=\"0.16\", expect_size=\"46487552\"] \n  11 -> 13 [size =\"46487552\"]\n  11 -> 14 [size =\"46487552\"]\n  12 [size=\"39444480\", alpha=\"0.04\", expect_size=\"11833344\"] \n  12 -> 14 [size =\"11833344\"]\n  13 [size=\"155344213\", alpha=\"0.05\", expect_size=\"46603264\"] \n  13 -> 15 [size =\"46603264\"]\n  13 -> 16 [size =\"46603264\"]\n  14 [size=\"86603093\", alpha=\"0.01\", expect_size=\"25980928\"] \n  14 -> 15 [size =\"25980928\"]\n  14 -> 16 [size =\"25980928\"]\n  14 -> 17 [size =\"25980928\"]\n  15 [size=\"117500587\", alpha=\"0.06\", expect_size=\"35250176\"] \n  15 -> 18 [size =\"35250176\"]\n  15 -> 19 [size =\"35250176\"]\n  16 [size=\"67850240\", alpha=\"0.10\", expect_size=\"20355072\"] \n  16 -> 18 [size =\"20355072\"]\n  16 -> 19 [size =\"20355072\"]\n  17 [size=\"74823680\", alpha=\"0.15\", expect_size=\"22447104\"] \n  17 -> 18 [size =\"22447104\"]\n  17 -> 19 [size =\"22447104\"]\n  18 [size=\"114698240\", alpha=\"0.10\", expect_size=\"34409472\"] \n  18 -> 21 [size =\"34409472\"]\n  18 -> 22 [size =\"34409472\"]\n  18 -> 23 [size =\"34409472\"]\n  19 [size=\"116131840\", alpha=\"0.05\", expect_size=\"34839552\"] \n  19 -> 20 [size =\"34839552\"]\n  19 -> 21 [size =\"34839552\"]\n  19 -> 23 [size =\"34839552\"]\n  20 [size=\"121224533\", alpha=\"0.05\", expect_size=\"36367360\"] \n  20 -> 24 [size =\"36367360\"]\n  21 [size=\"82640213\", alpha=\"0.08\", expect_size=\"24792064\"] \n  21 -> 24 [size =\"24792064\"]\n  21 -> 25 [size =\"24792064\"]\n  22 [size=\"51589120\", alpha=\"0.00\", expect_size=\"15476736\"] \n  22 -> 24 [size =\"15476736\"]\n  23 [size=\"80322560\", alpha=\"0.07\", expect_size=\"24096768\"] \n  23 -> 24 [size =\"24096768\"]\n  24 [size=\"121975467\", alpha=\"0.09\", expect_size=\"36592640\"] \n  25 [size=\"128617813\", alpha=\"0.03\", expect_size=\"38585344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88412160\", alpha=\"0.05\", expect_size=\"35364864\"] \n  1 -> 22 [size =\"35364864\"]\n  2 [size=\"85483520\", alpha=\"0.17\", expect_size=\"34193408\"] \n  2 -> 18 [size =\"34193408\"]\n  2 -> 19 [size =\"34193408\"]\n  2 -> 22 [size =\"34193408\"]\n  2 -> 24 [size =\"34193408\"]\n  2 -> 25 [size =\"34193408\"]\n  3 [size=\"107612160\", alpha=\"0.16\", expect_size=\"43044864\"] \n  3 -> 22 [size =\"43044864\"]\n  4 [size=\"105600000\", alpha=\"0.07\", expect_size=\"42240000\"] \n  4 -> 18 [size =\"42240000\"]\n  4 -> 23 [size =\"42240000\"]\n  4 -> 24 [size =\"42240000\"]\n  5 [size=\"94771200\", alpha=\"0.08\", expect_size=\"37908480\"] \n  5 -> 19 [size =\"37908480\"]\n  5 -> 23 [size =\"37908480\"]\n  6 [size=\"106012160\", alpha=\"0.00\", expect_size=\"42404864\"] \n  6 -> 23 [size =\"42404864\"]\n  7 [size=\"36587520\", alpha=\"0.02\", expect_size=\"14635008\"] \n  7 -> 22 [size =\"14635008\"]\n  8 [size=\"23905280\", alpha=\"0.10\", expect_size=\"9562112\"] \n  8 -> 18 [size =\"9562112\"]\n  8 -> 19 [size =\"9562112\"]\n  8 -> 20 [size =\"9562112\"]\n  8 -> 22 [size =\"9562112\"]\n  8 -> 25 [size =\"9562112\"]\n  9 [size=\"33889280\", alpha=\"0.18\", expect_size=\"13555712\"] \n  9 -> 18 [size =\"13555712\"]\n  9 -> 22 [size =\"13555712\"]\n  9 -> 24 [size =\"13555712\"]\n  9 -> 25 [size =\"13555712\"]\n  10 [size=\"13240320\", alpha=\"0.08\", expect_size=\"5296128\"] \n  10 -> 18 [size =\"5296128\"]\n  10 -> 19 [size =\"5296128\"]\n  11 [size=\"34273280\", alpha=\"0.01\", expect_size=\"13709312\"] \n  11 -> 18 [size =\"13709312\"]\n  11 -> 21 [size =\"13709312\"]\n  11 -> 22 [size =\"13709312\"]\n  12 [size=\"60902400\", alpha=\"0.20\", expect_size=\"24360960\"] \n  12 -> 19 [size =\"24360960\"]\n  13 [size=\"43330560\", alpha=\"0.14\", expect_size=\"17332224\"] \n  13 -> 19 [size =\"17332224\"]\n  13 -> 24 [size =\"17332224\"]\n  14 [size=\"17236480\", alpha=\"0.08\", expect_size=\"6894592\"] \n  14 -> 23 [size =\"6894592\"]\n  14 -> 24 [size =\"6894592\"]\n  15 [size=\"56596480\", alpha=\"0.08\", expect_size=\"22638592\"] \n  15 -> 18 [size =\"22638592\"]\n  15 -> 25 [size =\"22638592\"]\n  16 [size=\"105927680\", alpha=\"0.01\", expect_size=\"42371072\"] \n  16 -> 18 [size =\"42371072\"]\n  16 -> 23 [size =\"42371072\"]\n  17 [size=\"107189760\", alpha=\"0.18\", expect_size=\"42875904\"] \n  17 -> 22 [size =\"42875904\"]\n  17 -> 23 [size =\"42875904\"]\n  17 -> 25 [size =\"42875904\"]\n  18 [size=\"116490240\", alpha=\"0.11\", expect_size=\"46596096\"] \n  19 [size=\"56304640\", alpha=\"0.13\", expect_size=\"22521856\"] \n  20 [size=\"47224320\", alpha=\"0.12\", expect_size=\"18889728\"] \n  21 [size=\"93519360\", alpha=\"0.04\", expect_size=\"37407744\"] \n  22 [size=\"99712000\", alpha=\"0.09\", expect_size=\"39884800\"] \n  23 [size=\"98851840\", alpha=\"0.09\", expect_size=\"39540736\"] \n  24 [size=\"64056320\", alpha=\"0.05\", expect_size=\"25622528\"] \n  25 [size=\"109107200\", alpha=\"0.15\", expect_size=\"43642880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121930240\", alpha=\"0.16\", expect_size=\"48772096\"] \n  1 -> 4 [size =\"48772096\"]\n  1 -> 5 [size =\"48772096\"]\n  2 [size=\"86274560\", alpha=\"0.19\", expect_size=\"34509824\"] \n  2 -> 4 [size =\"34509824\"]\n  2 -> 6 [size =\"34509824\"]\n  3 [size=\"94528000\", alpha=\"0.06\", expect_size=\"37811200\"] \n  3 -> 5 [size =\"37811200\"]\n  4 [size=\"52456960\", alpha=\"0.17\", expect_size=\"20982784\"] \n  4 -> 8 [size =\"20982784\"]\n  4 -> 10 [size =\"20982784\"]\n  5 [size=\"115079680\", alpha=\"0.00\", expect_size=\"46031872\"] \n  5 -> 7 [size =\"46031872\"]\n  5 -> 8 [size =\"46031872\"]\n  5 -> 9 [size =\"46031872\"]\n  5 -> 10 [size =\"46031872\"]\n  6 [size=\"55354880\", alpha=\"0.09\", expect_size=\"22141952\"] \n  6 -> 7 [size =\"22141952\"]\n  7 [size=\"86755840\", alpha=\"0.13\", expect_size=\"34702336\"] \n  7 -> 11 [size =\"34702336\"]\n  7 -> 13 [size =\"34702336\"]\n  8 [size=\"32266240\", alpha=\"0.16\", expect_size=\"12906496\"] \n  8 -> 12 [size =\"12906496\"]\n  8 -> 13 [size =\"12906496\"]\n  8 -> 14 [size =\"12906496\"]\n  9 [size=\"33469440\", alpha=\"0.13\", expect_size=\"13387776\"] \n  9 -> 12 [size =\"13387776\"]\n  9 -> 14 [size =\"13387776\"]\n  10 [size=\"104299520\", alpha=\"0.16\", expect_size=\"41719808\"] \n  10 -> 11 [size =\"41719808\"]\n  10 -> 12 [size =\"41719808\"]\n  10 -> 13 [size =\"41719808\"]\n  10 -> 14 [size =\"41719808\"]\n  11 [size=\"98263040\", alpha=\"0.04\", expect_size=\"39305216\"] \n  11 -> 15 [size =\"39305216\"]\n  11 -> 17 [size =\"39305216\"]\n  11 -> 18 [size =\"39305216\"]\n  12 [size=\"75466240\", alpha=\"0.04\", expect_size=\"30186496\"] \n  12 -> 15 [size =\"30186496\"]\n  12 -> 16 [size =\"30186496\"]\n  12 -> 17 [size =\"30186496\"]\n  13 [size=\"69294080\", alpha=\"0.02\", expect_size=\"27717632\"] \n  13 -> 17 [size =\"27717632\"]\n  14 [size=\"103938560\", alpha=\"0.03\", expect_size=\"41575424\"] \n  14 -> 15 [size =\"41575424\"]\n  14 -> 16 [size =\"41575424\"]\n  15 [size=\"86097920\", alpha=\"0.03\", expect_size=\"34439168\"] \n  16 [size=\"86266880\", alpha=\"0.15\", expect_size=\"34506752\"] \n  16 -> 19 [size =\"34506752\"]\n  17 [size=\"23562240\", alpha=\"0.16\", expect_size=\"9424896\"] \n  17 -> 19 [size =\"9424896\"]\n  18 [size=\"98094080\", alpha=\"0.11\", expect_size=\"39237632\"] \n  18 -> 20 [size =\"39237632\"]\n  18 -> 21 [size =\"39237632\"]\n  19 [size=\"77148160\", alpha=\"0.00\", expect_size=\"30859264\"] \n  19 -> 23 [size =\"30859264\"]\n  20 [size=\"33280000\", alpha=\"0.11\", expect_size=\"13312000\"] \n  20 -> 23 [size =\"13312000\"]\n  20 -> 24 [size =\"13312000\"]\n  21 [size=\"127298560\", alpha=\"0.01\", expect_size=\"50919424\"] \n  21 -> 22 [size =\"50919424\"]\n  21 -> 23 [size =\"50919424\"]\n  21 -> 24 [size =\"50919424\"]\n  22 [size=\"31367680\", alpha=\"0.02\", expect_size=\"12547072\"] \n  22 -> 25 [size =\"12547072\"]\n  23 [size=\"52157440\", alpha=\"0.18\", expect_size=\"20862976\"] \n  23 -> 25 [size =\"20862976\"]\n  24 [size=\"64209920\", alpha=\"0.00\", expect_size=\"25683968\"] \n  25 [size=\"83002880\", alpha=\"0.20\", expect_size=\"33201152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127011840\", alpha=\"0.18\", expect_size=\"50804736\"] \n  1 -> 10 [size =\"50804736\"]\n  1 -> 12 [size =\"50804736\"]\n  1 -> 14 [size =\"50804736\"]\n  2 [size=\"17315840\", alpha=\"0.01\", expect_size=\"6926336\"] \n  2 -> 10 [size =\"6926336\"]\n  2 -> 12 [size =\"6926336\"]\n  3 [size=\"110097920\", alpha=\"0.06\", expect_size=\"44039168\"] \n  3 -> 11 [size =\"44039168\"]\n  3 -> 13 [size =\"44039168\"]\n  3 -> 16 [size =\"44039168\"]\n  4 [size=\"18700800\", alpha=\"0.17\", expect_size=\"7480320\"] \n  4 -> 9 [size =\"7480320\"]\n  4 -> 13 [size =\"7480320\"]\n  4 -> 15 [size =\"7480320\"]\n  4 -> 16 [size =\"7480320\"]\n  5 [size=\"90109440\", alpha=\"0.09\", expect_size=\"36043776\"] \n  5 -> 11 [size =\"36043776\"]\n  5 -> 13 [size =\"36043776\"]\n  5 -> 14 [size =\"36043776\"]\n  5 -> 15 [size =\"36043776\"]\n  5 -> 16 [size =\"36043776\"]\n  6 [size=\"91898880\", alpha=\"0.02\", expect_size=\"36759552\"] \n  6 -> 11 [size =\"36759552\"]\n  6 -> 13 [size =\"36759552\"]\n  6 -> 14 [size =\"36759552\"]\n  6 -> 15 [size =\"36759552\"]\n  7 [size=\"60533760\", alpha=\"0.11\", expect_size=\"24213504\"] \n  7 -> 14 [size =\"24213504\"]\n  7 -> 16 [size =\"24213504\"]\n  8 [size=\"121807360\", alpha=\"0.08\", expect_size=\"48722944\"] \n  8 -> 9 [size =\"48722944\"]\n  8 -> 11 [size =\"48722944\"]\n  8 -> 14 [size =\"48722944\"]\n  8 -> 16 [size =\"48722944\"]\n  9 [size=\"108715520\", alpha=\"0.19\", expect_size=\"43486208\"] \n  9 -> 20 [size =\"43486208\"]\n  9 -> 21 [size =\"43486208\"]\n  10 [size=\"38679040\", alpha=\"0.06\", expect_size=\"15471616\"] \n  10 -> 23 [size =\"15471616\"]\n  11 [size=\"91105280\", alpha=\"0.16\", expect_size=\"36442112\"] \n  11 -> 17 [size =\"36442112\"]\n  11 -> 24 [size =\"36442112\"]\n  12 [size=\"78010880\", alpha=\"0.07\", expect_size=\"31204352\"] \n  12 -> 17 [size =\"31204352\"]\n  12 -> 22 [size =\"31204352\"]\n  12 -> 23 [size =\"31204352\"]\n  13 [size=\"84682240\", alpha=\"0.05\", expect_size=\"33872896\"] \n  13 -> 17 [size =\"33872896\"]\n  13 -> 18 [size =\"33872896\"]\n  13 -> 19 [size =\"33872896\"]\n  13 -> 20 [size =\"33872896\"]\n  13 -> 21 [size =\"33872896\"]\n  13 -> 22 [size =\"33872896\"]\n  14 [size=\"118735360\", alpha=\"0.09\", expect_size=\"47494144\"] \n  14 -> 17 [size =\"47494144\"]\n  14 -> 18 [size =\"47494144\"]\n  14 -> 22 [size =\"47494144\"]\n  15 [size=\"99947520\", alpha=\"0.16\", expect_size=\"39979008\"] \n  15 -> 18 [size =\"39979008\"]\n  15 -> 20 [size =\"39979008\"]\n  15 -> 21 [size =\"39979008\"]\n  16 [size=\"33625600\", alpha=\"0.06\", expect_size=\"13450240\"] \n  16 -> 20 [size =\"13450240\"]\n  16 -> 20 [size =\"13450240\"]\n  16 -> 22 [size =\"13450240\"]\n  16 -> 23 [size =\"13450240\"]\n  16 -> 24 [size =\"13450240\"]\n  17 [size=\"44712960\", alpha=\"0.07\", expect_size=\"17885184\"] \n  18 [size=\"110632960\", alpha=\"0.08\", expect_size=\"44253184\"] \n  19 [size=\"41715200\", alpha=\"0.03\", expect_size=\"16686080\"] \n  20 [size=\"35619840\", alpha=\"0.05\", expect_size=\"14247936\"] \n  21 [size=\"71047680\", alpha=\"0.07\", expect_size=\"28419072\"] \n  21 -> 25 [size =\"28419072\"]\n  22 [size=\"47544320\", alpha=\"0.09\", expect_size=\"19017728\"] \n  22 -> 25 [size =\"19017728\"]\n  23 [size=\"86254080\", alpha=\"0.08\", expect_size=\"34501632\"] \n  23 -> 25 [size =\"34501632\"]\n  24 [size=\"117501440\", alpha=\"0.07\", expect_size=\"47000576\"] \n  25 [size=\"50222080\", alpha=\"0.20\", expect_size=\"20088832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88763733\", alpha=\"0.17\", expect_size=\"26629120\"] \n  1 -> 19 [size =\"26629120\"]\n  1 -> 22 [size =\"26629120\"]\n  1 -> 25 [size =\"26629120\"]\n  2 [size=\"164904960\", alpha=\"0.12\", expect_size=\"49471488\"] \n  2 -> 14 [size =\"49471488\"]\n  2 -> 15 [size =\"49471488\"]\n  2 -> 18 [size =\"49471488\"]\n  2 -> 20 [size =\"49471488\"]\n  2 -> 22 [size =\"49471488\"]\n  2 -> 24 [size =\"49471488\"]\n  2 -> 25 [size =\"49471488\"]\n  3 [size=\"38359040\", alpha=\"0.07\", expect_size=\"11507712\"] \n  3 -> 18 [size =\"11507712\"]\n  3 -> 19 [size =\"11507712\"]\n  3 -> 21 [size =\"11507712\"]\n  3 -> 22 [size =\"11507712\"]\n  3 -> 22 [size =\"11507712\"]\n  3 -> 23 [size =\"11507712\"]\n  3 -> 25 [size =\"11507712\"]\n  4 [size=\"57419093\", alpha=\"0.13\", expect_size=\"17225728\"] \n  4 -> 16 [size =\"17225728\"]\n  4 -> 18 [size =\"17225728\"]\n  4 -> 19 [size =\"17225728\"]\n  4 -> 20 [size =\"17225728\"]\n  4 -> 22 [size =\"17225728\"]\n  4 -> 24 [size =\"17225728\"]\n  4 -> 25 [size =\"17225728\"]\n  5 [size=\"118166187\", alpha=\"0.00\", expect_size=\"35449856\"] \n  5 -> 19 [size =\"35449856\"]\n  5 -> 21 [size =\"35449856\"]\n  6 [size=\"75851093\", alpha=\"0.20\", expect_size=\"22755328\"] \n  6 -> 19 [size =\"22755328\"]\n  6 -> 23 [size =\"22755328\"]\n  7 [size=\"38045013\", alpha=\"0.16\", expect_size=\"11413504\"] \n  7 -> 18 [size =\"11413504\"]\n  7 -> 21 [size =\"11413504\"]\n  7 -> 25 [size =\"11413504\"]\n  8 [size=\"145708373\", alpha=\"0.07\", expect_size=\"43712512\"] \n  8 -> 23 [size =\"43712512\"]\n  8 -> 24 [size =\"43712512\"]\n  9 [size=\"85278720\", alpha=\"0.19\", expect_size=\"25583616\"] \n  9 -> 14 [size =\"25583616\"]\n  9 -> 19 [size =\"25583616\"]\n  9 -> 20 [size =\"25583616\"]\n  9 -> 21 [size =\"25583616\"]\n  9 -> 23 [size =\"25583616\"]\n  9 -> 25 [size =\"25583616\"]\n  10 [size=\"77172053\", alpha=\"0.02\", expect_size=\"23151616\"] \n  10 -> 18 [size =\"23151616\"]\n  10 -> 19 [size =\"23151616\"]\n  10 -> 20 [size =\"23151616\"]\n  10 -> 21 [size =\"23151616\"]\n  10 -> 23 [size =\"23151616\"]\n  11 [size=\"22992213\", alpha=\"0.13\", expect_size=\"6897664\"] \n  11 -> 15 [size =\"6897664\"]\n  11 -> 18 [size =\"6897664\"]\n  11 -> 21 [size =\"6897664\"]\n  11 -> 22 [size =\"6897664\"]\n  11 -> 23 [size =\"6897664\"]\n  12 [size=\"153282560\", alpha=\"0.15\", expect_size=\"45984768\"] \n  12 -> 17 [size =\"45984768\"]\n  12 -> 18 [size =\"45984768\"]\n  12 -> 22 [size =\"45984768\"]\n  12 -> 25 [size =\"45984768\"]\n  13 [size=\"93395627\", alpha=\"0.10\", expect_size=\"28018688\"] \n  13 -> 14 [size =\"28018688\"]\n  13 -> 18 [size =\"28018688\"]\n  13 -> 20 [size =\"28018688\"]\n  13 -> 21 [size =\"28018688\"]\n  13 -> 22 [size =\"28018688\"]\n  13 -> 25 [size =\"28018688\"]\n  14 [size=\"145800533\", alpha=\"0.01\", expect_size=\"43740160\"] \n  15 [size=\"89381547\", alpha=\"0.16\", expect_size=\"26814464\"] \n  16 [size=\"90036907\", alpha=\"0.13\", expect_size=\"27011072\"] \n  17 [size=\"86463147\", alpha=\"0.16\", expect_size=\"25938944\"] \n  18 [size=\"53486933\", alpha=\"0.06\", expect_size=\"16046080\"] \n  19 [size=\"109974187\", alpha=\"0.02\", expect_size=\"32992256\"] \n  20 [size=\"105297920\", alpha=\"0.15\", expect_size=\"31589376\"] \n  21 [size=\"119166293\", alpha=\"0.17\", expect_size=\"35749888\"] \n  22 [size=\"66744320\", alpha=\"0.18\", expect_size=\"20023296\"] \n  23 [size=\"30655147\", alpha=\"0.02\", expect_size=\"9196544\"] \n  24 [size=\"107410773\", alpha=\"0.11\", expect_size=\"32223232\"] \n  25 [size=\"118326613\", alpha=\"0.12\", expect_size=\"35497984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55340373\", alpha=\"0.07\", expect_size=\"16602112\"] \n  1 -> 4 [size =\"16602112\"]\n  1 -> 6 [size =\"16602112\"]\n  1 -> 8 [size =\"16602112\"]\n  2 [size=\"107786240\", alpha=\"0.15\", expect_size=\"32335872\"] \n  2 -> 5 [size =\"32335872\"]\n  2 -> 6 [size =\"32335872\"]\n  2 -> 7 [size =\"32335872\"]\n  2 -> 8 [size =\"32335872\"]\n  3 [size=\"36215467\", alpha=\"0.17\", expect_size=\"10864640\"] \n  3 -> 4 [size =\"10864640\"]\n  3 -> 7 [size =\"10864640\"]\n  4 [size=\"79544320\", alpha=\"0.06\", expect_size=\"23863296\"] \n  4 -> 10 [size =\"23863296\"]\n  5 [size=\"138499413\", alpha=\"0.04\", expect_size=\"41549824\"] \n  5 -> 9 [size =\"41549824\"]\n  6 [size=\"104021333\", alpha=\"0.16\", expect_size=\"31206400\"] \n  7 [size=\"149879467\", alpha=\"0.03\", expect_size=\"44963840\"] \n  7 -> 9 [size =\"44963840\"]\n  8 [size=\"95573333\", alpha=\"0.09\", expect_size=\"28672000\"] \n  9 [size=\"92327253\", alpha=\"0.14\", expect_size=\"27698176\"] \n  9 -> 11 [size =\"27698176\"]\n  9 -> 13 [size =\"27698176\"]\n  10 [size=\"122774187\", alpha=\"0.00\", expect_size=\"36832256\"] \n  10 -> 12 [size =\"36832256\"]\n  10 -> 13 [size =\"36832256\"]\n  11 [size=\"155142827\", alpha=\"0.08\", expect_size=\"46542848\"] \n  11 -> 15 [size =\"46542848\"]\n  12 [size=\"52565333\", alpha=\"0.15\", expect_size=\"15769600\"] \n  12 -> 16 [size =\"15769600\"]\n  13 [size=\"168895147\", alpha=\"0.09\", expect_size=\"50668544\"] \n  13 -> 14 [size =\"50668544\"]\n  13 -> 15 [size =\"50668544\"]\n  14 [size=\"147039573\", alpha=\"0.02\", expect_size=\"44111872\"] \n  14 -> 19 [size =\"44111872\"]\n  15 [size=\"35880960\", alpha=\"0.18\", expect_size=\"10764288\"] \n  15 -> 17 [size =\"10764288\"]\n  15 -> 18 [size =\"10764288\"]\n  16 [size=\"65242453\", alpha=\"0.17\", expect_size=\"19572736\"] \n  16 -> 19 [size =\"19572736\"]\n  16 -> 20 [size =\"19572736\"]\n  17 [size=\"34812587\", alpha=\"0.01\", expect_size=\"10443776\"] \n  18 [size=\"57118720\", alpha=\"0.08\", expect_size=\"17135616\"] \n  18 -> 21 [size =\"17135616\"]\n  19 [size=\"131624960\", alpha=\"0.17\", expect_size=\"39487488\"] \n  19 -> 22 [size =\"39487488\"]\n  19 -> 23 [size =\"39487488\"]\n  20 [size=\"82735787\", alpha=\"0.03\", expect_size=\"24820736\"] \n  20 -> 21 [size =\"24820736\"]\n  20 -> 22 [size =\"24820736\"]\n  21 [size=\"84493653\", alpha=\"0.14\", expect_size=\"25348096\"] \n  21 -> 25 [size =\"25348096\"]\n  22 [size=\"146377387\", alpha=\"0.16\", expect_size=\"43913216\"] \n  22 -> 24 [size =\"43913216\"]\n  23 [size=\"110533973\", alpha=\"0.01\", expect_size=\"33160192\"] \n  23 -> 24 [size =\"33160192\"]\n  24 [size=\"21459627\", alpha=\"0.14\", expect_size=\"6437888\"] \n  25 [size=\"40932693\", alpha=\"0.02\", expect_size=\"12279808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16705536\", alpha=\"0.11\", expect_size=\"8352768\"] \n  1 -> 5 [size =\"8352768\"]\n  1 -> 6 [size =\"8352768\"]\n  1 -> 7 [size =\"8352768\"]\n  1 -> 8 [size =\"8352768\"]\n  1 -> 9 [size =\"8352768\"]\n  1 -> 11 [size =\"8352768\"]\n  2 [size=\"38891520\", alpha=\"0.11\", expect_size=\"19445760\"] \n  2 -> 5 [size =\"19445760\"]\n  2 -> 6 [size =\"19445760\"]\n  2 -> 7 [size =\"19445760\"]\n  2 -> 8 [size =\"19445760\"]\n  2 -> 9 [size =\"19445760\"]\n  2 -> 10 [size =\"19445760\"]\n  2 -> 11 [size =\"19445760\"]\n  3 [size=\"92876800\", alpha=\"0.04\", expect_size=\"46438400\"] \n  3 -> 5 [size =\"46438400\"]\n  3 -> 6 [size =\"46438400\"]\n  3 -> 8 [size =\"46438400\"]\n  3 -> 9 [size =\"46438400\"]\n  3 -> 10 [size =\"46438400\"]\n  3 -> 11 [size =\"46438400\"]\n  4 [size=\"43587584\", alpha=\"0.02\", expect_size=\"21793792\"] \n  4 -> 5 [size =\"21793792\"]\n  4 -> 6 [size =\"21793792\"]\n  4 -> 8 [size =\"21793792\"]\n  4 -> 9 [size =\"21793792\"]\n  4 -> 11 [size =\"21793792\"]\n  5 [size=\"32522240\", alpha=\"0.02\", expect_size=\"16261120\"] \n  5 -> 13 [size =\"16261120\"]\n  5 -> 14 [size =\"16261120\"]\n  5 -> 18 [size =\"16261120\"]\n  5 -> 18 [size =\"16261120\"]\n  5 -> 19 [size =\"16261120\"]\n  5 -> 20 [size =\"16261120\"]\n  5 -> 21 [size =\"16261120\"]\n  6 [size=\"69773312\", alpha=\"0.08\", expect_size=\"34886656\"] \n  6 -> 12 [size =\"34886656\"]\n  6 -> 13 [size =\"34886656\"]\n  6 -> 14 [size =\"34886656\"]\n  6 -> 15 [size =\"34886656\"]\n  6 -> 19 [size =\"34886656\"]\n  7 [size=\"20488192\", alpha=\"0.09\", expect_size=\"10244096\"] \n  7 -> 12 [size =\"10244096\"]\n  7 -> 13 [size =\"10244096\"]\n  7 -> 14 [size =\"10244096\"]\n  7 -> 15 [size =\"10244096\"]\n  7 -> 18 [size =\"10244096\"]\n  7 -> 20 [size =\"10244096\"]\n  8 [size=\"37074944\", alpha=\"0.02\", expect_size=\"18537472\"] \n  8 -> 13 [size =\"18537472\"]\n  8 -> 14 [size =\"18537472\"]\n  8 -> 15 [size =\"18537472\"]\n  8 -> 19 [size =\"18537472\"]\n  9 [size=\"90419200\", alpha=\"0.03\", expect_size=\"45209600\"] \n  9 -> 13 [size =\"45209600\"]\n  9 -> 14 [size =\"45209600\"]\n  9 -> 15 [size =\"45209600\"]\n  9 -> 16 [size =\"45209600\"]\n  9 -> 18 [size =\"45209600\"]\n  9 -> 19 [size =\"45209600\"]\n  9 -> 20 [size =\"45209600\"]\n  9 -> 21 [size =\"45209600\"]\n  10 [size=\"95401984\", alpha=\"0.16\", expect_size=\"47700992\"] \n  10 -> 12 [size =\"47700992\"]\n  10 -> 13 [size =\"47700992\"]\n  10 -> 14 [size =\"47700992\"]\n  10 -> 15 [size =\"47700992\"]\n  10 -> 17 [size =\"47700992\"]\n  10 -> 18 [size =\"47700992\"]\n  10 -> 19 [size =\"47700992\"]\n  10 -> 21 [size =\"47700992\"]\n  11 [size=\"82253824\", alpha=\"0.02\", expect_size=\"41126912\"] \n  11 -> 12 [size =\"41126912\"]\n  11 -> 14 [size =\"41126912\"]\n  11 -> 16 [size =\"41126912\"]\n  11 -> 18 [size =\"41126912\"]\n  11 -> 21 [size =\"41126912\"]\n  12 [size=\"39790592\", alpha=\"0.20\", expect_size=\"19895296\"] \n  12 -> 24 [size =\"19895296\"]\n  12 -> 25 [size =\"19895296\"]\n  13 [size=\"92520448\", alpha=\"0.08\", expect_size=\"46260224\"] \n  13 -> 22 [size =\"46260224\"]\n  13 -> 25 [size =\"46260224\"]\n  14 [size=\"16068608\", alpha=\"0.10\", expect_size=\"8034304\"] \n  14 -> 22 [size =\"8034304\"]\n  14 -> 25 [size =\"8034304\"]\n  15 [size=\"24655872\", alpha=\"0.19\", expect_size=\"12327936\"] \n  15 -> 24 [size =\"12327936\"]\n  16 [size=\"33034240\", alpha=\"0.17\", expect_size=\"16517120\"] \n  16 -> 23 [size =\"16517120\"]\n  16 -> 24 [size =\"16517120\"]\n  16 -> 25 [size =\"16517120\"]\n  17 [size=\"71739392\", alpha=\"0.13\", expect_size=\"35869696\"] \n  17 -> 25 [size =\"35869696\"]\n  18 [size=\"17577984\", alpha=\"0.09\", expect_size=\"8788992\"] \n  18 -> 22 [size =\"8788992\"]\n  18 -> 24 [size =\"8788992\"]\n  19 [size=\"24860672\", alpha=\"0.02\", expect_size=\"12430336\"] \n  19 -> 22 [size =\"12430336\"]\n  19 -> 24 [size =\"12430336\"]\n  20 [size=\"37253120\", alpha=\"0.01\", expect_size=\"18626560\"] \n  20 -> 22 [size =\"18626560\"]\n  20 -> 24 [size =\"18626560\"]\n  21 [size=\"18112512\", alpha=\"0.01\", expect_size=\"9056256\"] \n  21 -> 22 [size =\"9056256\"]\n  21 -> 24 [size =\"9056256\"]\n  21 -> 25 [size =\"9056256\"]\n  22 [size=\"29454336\", alpha=\"0.07\", expect_size=\"14727168\"] \n  23 [size=\"27355136\", alpha=\"0.11\", expect_size=\"13677568\"] \n  24 [size=\"63459328\", alpha=\"0.02\", expect_size=\"31729664\"] \n  25 [size=\"15611904\", alpha=\"0.18\", expect_size=\"7805952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67427840\", alpha=\"0.18\", expect_size=\"26971136\"] \n  2 [size=\"38960640\", alpha=\"0.09\", expect_size=\"15584256\"] \n  2 -> 6 [size =\"15584256\"]\n  3 [size=\"81822720\", alpha=\"0.12\", expect_size=\"32729088\"] \n  3 -> 4 [size =\"32729088\"]\n  3 -> 5 [size =\"32729088\"]\n  3 -> 6 [size =\"32729088\"]\n  4 [size=\"65966080\", alpha=\"0.19\", expect_size=\"26386432\"] \n  4 -> 7 [size =\"26386432\"]\n  4 -> 8 [size =\"26386432\"]\n  5 [size=\"19553280\", alpha=\"0.20\", expect_size=\"7821312\"] \n  5 -> 7 [size =\"7821312\"]\n  6 [size=\"75591680\", alpha=\"0.04\", expect_size=\"30236672\"] \n  6 -> 9 [size =\"30236672\"]\n  7 [size=\"33740800\", alpha=\"0.00\", expect_size=\"13496320\"] \n  7 -> 10 [size =\"13496320\"]\n  8 [size=\"41989120\", alpha=\"0.05\", expect_size=\"16795648\"] \n  8 -> 11 [size =\"16795648\"]\n  8 -> 12 [size =\"16795648\"]\n  9 [size=\"57364480\", alpha=\"0.15\", expect_size=\"22945792\"] \n  9 -> 10 [size =\"22945792\"]\n  10 [size=\"107863040\", alpha=\"0.01\", expect_size=\"43145216\"] \n  10 -> 13 [size =\"43145216\"]\n  10 -> 15 [size =\"43145216\"]\n  11 [size=\"94177280\", alpha=\"0.05\", expect_size=\"37670912\"] \n  12 [size=\"80427520\", alpha=\"0.15\", expect_size=\"32171008\"] \n  12 -> 14 [size =\"32171008\"]\n  12 -> 15 [size =\"32171008\"]\n  13 [size=\"14840320\", alpha=\"0.04\", expect_size=\"5936128\"] \n  13 -> 17 [size =\"5936128\"]\n  13 -> 18 [size =\"5936128\"]\n  14 [size=\"83765760\", alpha=\"0.14\", expect_size=\"33506304\"] \n  15 [size=\"76323840\", alpha=\"0.04\", expect_size=\"30529536\"] \n  15 -> 16 [size =\"30529536\"]\n  16 [size=\"75558400\", alpha=\"0.01\", expect_size=\"30223360\"] \n  16 -> 19 [size =\"30223360\"]\n  16 -> 20 [size =\"30223360\"]\n  16 -> 21 [size =\"30223360\"]\n  17 [size=\"101337600\", alpha=\"0.20\", expect_size=\"40535040\"] \n  17 -> 19 [size =\"40535040\"]\n  18 [size=\"102008320\", alpha=\"0.16\", expect_size=\"40803328\"] \n  19 [size=\"15861760\", alpha=\"0.18\", expect_size=\"6344704\"] \n  19 -> 22 [size =\"6344704\"]\n  20 [size=\"105989120\", alpha=\"0.05\", expect_size=\"42395648\"] \n  20 -> 23 [size =\"42395648\"]\n  20 -> 24 [size =\"42395648\"]\n  20 -> 25 [size =\"42395648\"]\n  21 [size=\"109314560\", alpha=\"0.02\", expect_size=\"43725824\"] \n  21 -> 23 [size =\"43725824\"]\n  22 [size=\"20464640\", alpha=\"0.02\", expect_size=\"8185856\"] \n  23 [size=\"106342400\", alpha=\"0.15\", expect_size=\"42536960\"] \n  24 [size=\"14896640\", alpha=\"0.16\", expect_size=\"5958656\"] \n  25 [size=\"95595520\", alpha=\"0.19\", expect_size=\"38238208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44437504\", alpha=\"0.04\", expect_size=\"22218752\"] \n  1 -> 2 [size =\"22218752\"]\n  1 -> 3 [size =\"22218752\"]\n  2 [size=\"22249472\", alpha=\"0.16\", expect_size=\"11124736\"] \n  2 -> 4 [size =\"11124736\"]\n  3 [size=\"89884672\", alpha=\"0.12\", expect_size=\"44942336\"] \n  3 -> 4 [size =\"44942336\"]\n  4 [size=\"43997184\", alpha=\"0.08\", expect_size=\"21998592\"] \n  4 -> 5 [size =\"21998592\"]\n  5 [size=\"18987008\", alpha=\"0.07\", expect_size=\"9493504\"] \n  5 -> 6 [size =\"9493504\"]\n  6 [size=\"54360064\", alpha=\"0.13\", expect_size=\"27180032\"] \n  6 -> 7 [size =\"27180032\"]\n  6 -> 8 [size =\"27180032\"]\n  7 [size=\"26458112\", alpha=\"0.03\", expect_size=\"13229056\"] \n  7 -> 9 [size =\"13229056\"]\n  7 -> 10 [size =\"13229056\"]\n  8 [size=\"80930816\", alpha=\"0.11\", expect_size=\"40465408\"] \n  8 -> 9 [size =\"40465408\"]\n  8 -> 10 [size =\"40465408\"]\n  9 [size=\"85622784\", alpha=\"0.12\", expect_size=\"42811392\"] \n  9 -> 11 [size =\"42811392\"]\n  10 [size=\"45391872\", alpha=\"0.11\", expect_size=\"22695936\"] \n  11 [size=\"91267072\", alpha=\"0.17\", expect_size=\"45633536\"] \n  11 -> 12 [size =\"45633536\"]\n  11 -> 13 [size =\"45633536\"]\n  12 [size=\"16777216\", alpha=\"0.05\", expect_size=\"8388608\"] \n  12 -> 14 [size =\"8388608\"]\n  13 [size=\"90906624\", alpha=\"0.09\", expect_size=\"45453312\"] \n  14 [size=\"54171648\", alpha=\"0.13\", expect_size=\"27085824\"] \n  14 -> 15 [size =\"27085824\"]\n  15 [size=\"91185152\", alpha=\"0.07\", expect_size=\"45592576\"] \n  15 -> 16 [size =\"45592576\"]\n  16 [size=\"30107648\", alpha=\"0.04\", expect_size=\"15053824\"] \n  16 -> 17 [size =\"15053824\"]\n  17 [size=\"91834368\", alpha=\"0.01\", expect_size=\"45917184\"] \n  17 -> 18 [size =\"45917184\"]\n  18 [size=\"104517632\", alpha=\"0.06\", expect_size=\"52258816\"] \n  18 -> 19 [size =\"52258816\"]\n  18 -> 20 [size =\"52258816\"]\n  19 [size=\"61532160\", alpha=\"0.16\", expect_size=\"30766080\"] \n  19 -> 22 [size =\"30766080\"]\n  20 [size=\"23932928\", alpha=\"0.05\", expect_size=\"11966464\"] \n  20 -> 21 [size =\"11966464\"]\n  21 [size=\"76849152\", alpha=\"0.02\", expect_size=\"38424576\"] \n  21 -> 23 [size =\"38424576\"]\n  21 -> 24 [size =\"38424576\"]\n  22 [size=\"61335552\", alpha=\"0.00\", expect_size=\"30667776\"] \n  22 -> 24 [size =\"30667776\"]\n  23 [size=\"85137408\", alpha=\"0.16\", expect_size=\"42568704\"] \n  24 [size=\"33282048\", alpha=\"0.19\", expect_size=\"16641024\"] \n  24 -> 25 [size =\"16641024\"]\n  25 [size=\"96227328\", alpha=\"0.03\", expect_size=\"48113664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26370048\", alpha=\"0.14\", expect_size=\"13185024\"] \n  1 -> 8 [size =\"13185024\"]\n  1 -> 9 [size =\"13185024\"]\n  1 -> 10 [size =\"13185024\"]\n  1 -> 11 [size =\"13185024\"]\n  2 [size=\"17027072\", alpha=\"0.01\", expect_size=\"8513536\"] \n  2 -> 8 [size =\"8513536\"]\n  2 -> 11 [size =\"8513536\"]\n  3 [size=\"98056192\", alpha=\"0.02\", expect_size=\"49028096\"] \n  3 -> 11 [size =\"49028096\"]\n  3 -> 13 [size =\"49028096\"]\n  4 [size=\"72716288\", alpha=\"0.17\", expect_size=\"36358144\"] \n  4 -> 8 [size =\"36358144\"]\n  4 -> 9 [size =\"36358144\"]\n  4 -> 10 [size =\"36358144\"]\n  4 -> 11 [size =\"36358144\"]\n  5 [size=\"40787968\", alpha=\"0.15\", expect_size=\"20393984\"] \n  5 -> 8 [size =\"20393984\"]\n  5 -> 10 [size =\"20393984\"]\n  5 -> 10 [size =\"20393984\"]\n  5 -> 11 [size =\"20393984\"]\n  6 [size=\"66836480\", alpha=\"0.15\", expect_size=\"33418240\"] \n  6 -> 8 [size =\"33418240\"]\n  6 -> 10 [size =\"33418240\"]\n  6 -> 11 [size =\"33418240\"]\n  6 -> 12 [size =\"33418240\"]\n  7 [size=\"87922688\", alpha=\"0.06\", expect_size=\"43961344\"] \n  7 -> 8 [size =\"43961344\"]\n  7 -> 12 [size =\"43961344\"]\n  7 -> 14 [size =\"43961344\"]\n  8 [size=\"72294400\", alpha=\"0.05\", expect_size=\"36147200\"] \n  8 -> 15 [size =\"36147200\"]\n  8 -> 17 [size =\"36147200\"]\n  8 -> 19 [size =\"36147200\"]\n  9 [size=\"48138240\", alpha=\"0.06\", expect_size=\"24069120\"] \n  9 -> 15 [size =\"24069120\"]\n  9 -> 17 [size =\"24069120\"]\n  9 -> 19 [size =\"24069120\"]\n  9 -> 20 [size =\"24069120\"]\n  10 [size=\"67205120\", alpha=\"0.16\", expect_size=\"33602560\"] \n  10 -> 15 [size =\"33602560\"]\n  10 -> 16 [size =\"33602560\"]\n  10 -> 17 [size =\"33602560\"]\n  10 -> 22 [size =\"33602560\"]\n  11 [size=\"46430208\", alpha=\"0.19\", expect_size=\"23215104\"] \n  11 -> 19 [size =\"23215104\"]\n  12 [size=\"19449856\", alpha=\"0.12\", expect_size=\"9724928\"] \n  12 -> 16 [size =\"9724928\"]\n  12 -> 20 [size =\"9724928\"]\n  13 [size=\"25487360\", alpha=\"0.20\", expect_size=\"12743680\"] \n  13 -> 16 [size =\"12743680\"]\n  13 -> 17 [size =\"12743680\"]\n  13 -> 18 [size =\"12743680\"]\n  13 -> 20 [size =\"12743680\"]\n  13 -> 22 [size =\"12743680\"]\n  14 [size=\"34353152\", alpha=\"0.01\", expect_size=\"17176576\"] \n  14 -> 15 [size =\"17176576\"]\n  14 -> 17 [size =\"17176576\"]\n  14 -> 20 [size =\"17176576\"]\n  14 -> 21 [size =\"17176576\"]\n  15 [size=\"19613696\", alpha=\"0.01\", expect_size=\"9806848\"] \n  15 -> 23 [size =\"9806848\"]\n  16 [size=\"89616384\", alpha=\"0.18\", expect_size=\"44808192\"] \n  16 -> 23 [size =\"44808192\"]\n  16 -> 25 [size =\"44808192\"]\n  17 [size=\"63897600\", alpha=\"0.18\", expect_size=\"31948800\"] \n  17 -> 23 [size =\"31948800\"]\n  17 -> 24 [size =\"31948800\"]\n  18 [size=\"91586560\", alpha=\"0.19\", expect_size=\"45793280\"] \n  18 -> 25 [size =\"45793280\"]\n  19 [size=\"19595264\", alpha=\"0.09\", expect_size=\"9797632\"] \n  19 -> 24 [size =\"9797632\"]\n  19 -> 25 [size =\"9797632\"]\n  20 [size=\"48936960\", alpha=\"0.05\", expect_size=\"24468480\"] \n  20 -> 24 [size =\"24468480\"]\n  21 [size=\"28962816\", alpha=\"0.04\", expect_size=\"14481408\"] \n  21 -> 24 [size =\"14481408\"]\n  22 [size=\"22464512\", alpha=\"0.05\", expect_size=\"11232256\"] \n  22 -> 23 [size =\"11232256\"]\n  22 -> 24 [size =\"11232256\"]\n  22 -> 25 [size =\"11232256\"]\n  23 [size=\"80558080\", alpha=\"0.04\", expect_size=\"40279040\"] \n  24 [size=\"79120384\", alpha=\"0.17\", expect_size=\"39560192\"] \n  25 [size=\"82585600\", alpha=\"0.15\", expect_size=\"41292800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43130880\", alpha=\"0.00\", expect_size=\"12939264\"] \n  1 -> 12 [size =\"12939264\"]\n  1 -> 13 [size =\"12939264\"]\n  1 -> 16 [size =\"12939264\"]\n  1 -> 17 [size =\"12939264\"]\n  2 [size=\"72867840\", alpha=\"0.13\", expect_size=\"21860352\"] \n  2 -> 13 [size =\"21860352\"]\n  2 -> 13 [size =\"21860352\"]\n  2 -> 14 [size =\"21860352\"]\n  2 -> 15 [size =\"21860352\"]\n  2 -> 16 [size =\"21860352\"]\n  2 -> 17 [size =\"21860352\"]\n  3 [size=\"126231893\", alpha=\"0.18\", expect_size=\"37869568\"] \n  3 -> 12 [size =\"37869568\"]\n  3 -> 13 [size =\"37869568\"]\n  3 -> 15 [size =\"37869568\"]\n  3 -> 16 [size =\"37869568\"]\n  3 -> 17 [size =\"37869568\"]\n  4 [size=\"103837013\", alpha=\"0.19\", expect_size=\"31151104\"] \n  4 -> 12 [size =\"31151104\"]\n  4 -> 13 [size =\"31151104\"]\n  4 -> 17 [size =\"31151104\"]\n  5 [size=\"118664533\", alpha=\"0.05\", expect_size=\"35599360\"] \n  5 -> 12 [size =\"35599360\"]\n  5 -> 13 [size =\"35599360\"]\n  5 -> 17 [size =\"35599360\"]\n  6 [size=\"80165547\", alpha=\"0.12\", expect_size=\"24049664\"] \n  6 -> 12 [size =\"24049664\"]\n  6 -> 15 [size =\"24049664\"]\n  6 -> 16 [size =\"24049664\"]\n  6 -> 17 [size =\"24049664\"]\n  7 [size=\"128119467\", alpha=\"0.05\", expect_size=\"38435840\"] \n  7 -> 12 [size =\"38435840\"]\n  7 -> 14 [size =\"38435840\"]\n  7 -> 15 [size =\"38435840\"]\n  7 -> 16 [size =\"38435840\"]\n  7 -> 17 [size =\"38435840\"]\n  8 [size=\"72342187\", alpha=\"0.16\", expect_size=\"21702656\"] \n  8 -> 12 [size =\"21702656\"]\n  8 -> 13 [size =\"21702656\"]\n  8 -> 15 [size =\"21702656\"]\n  8 -> 16 [size =\"21702656\"]\n  9 [size=\"61358080\", alpha=\"0.02\", expect_size=\"18407424\"] \n  9 -> 12 [size =\"18407424\"]\n  9 -> 13 [size =\"18407424\"]\n  9 -> 14 [size =\"18407424\"]\n  9 -> 15 [size =\"18407424\"]\n  10 [size=\"60740267\", alpha=\"0.03\", expect_size=\"18222080\"] \n  10 -> 12 [size =\"18222080\"]\n  10 -> 13 [size =\"18222080\"]\n  10 -> 15 [size =\"18222080\"]\n  10 -> 17 [size =\"18222080\"]\n  11 [size=\"114578773\", alpha=\"0.12\", expect_size=\"34373632\"] \n  11 -> 13 [size =\"34373632\"]\n  11 -> 14 [size =\"34373632\"]\n  11 -> 16 [size =\"34373632\"]\n  11 -> 17 [size =\"34373632\"]\n  12 [size=\"114643627\", alpha=\"0.03\", expect_size=\"34393088\"] \n  12 -> 18 [size =\"34393088\"]\n  12 -> 19 [size =\"34393088\"]\n  12 -> 20 [size =\"34393088\"]\n  12 -> 22 [size =\"34393088\"]\n  12 -> 23 [size =\"34393088\"]\n  12 -> 24 [size =\"34393088\"]\n  12 -> 25 [size =\"34393088\"]\n  13 [size=\"61692587\", alpha=\"0.16\", expect_size=\"18507776\"] \n  13 -> 20 [size =\"18507776\"]\n  13 -> 21 [size =\"18507776\"]\n  13 -> 23 [size =\"18507776\"]\n  13 -> 24 [size =\"18507776\"]\n  13 -> 25 [size =\"18507776\"]\n  14 [size=\"44625920\", alpha=\"0.12\", expect_size=\"13387776\"] \n  14 -> 18 [size =\"13387776\"]\n  14 -> 19 [size =\"13387776\"]\n  14 -> 20 [size =\"13387776\"]\n  14 -> 21 [size =\"13387776\"]\n  14 -> 23 [size =\"13387776\"]\n  14 -> 24 [size =\"13387776\"]\n  14 -> 25 [size =\"13387776\"]\n  15 [size=\"37932373\", alpha=\"0.01\", expect_size=\"11379712\"] \n  15 -> 19 [size =\"11379712\"]\n  15 -> 19 [size =\"11379712\"]\n  15 -> 21 [size =\"11379712\"]\n  15 -> 21 [size =\"11379712\"]\n  15 -> 22 [size =\"11379712\"]\n  15 -> 23 [size =\"11379712\"]\n  15 -> 24 [size =\"11379712\"]\n  15 -> 25 [size =\"11379712\"]\n  16 [size=\"76267520\", alpha=\"0.15\", expect_size=\"22880256\"] \n  16 -> 19 [size =\"22880256\"]\n  16 -> 21 [size =\"22880256\"]\n  16 -> 22 [size =\"22880256\"]\n  16 -> 23 [size =\"22880256\"]\n  16 -> 24 [size =\"22880256\"]\n  16 -> 25 [size =\"22880256\"]\n  17 [size=\"167133867\", alpha=\"0.05\", expect_size=\"50140160\"] \n  17 -> 22 [size =\"50140160\"]\n  17 -> 23 [size =\"50140160\"]\n  17 -> 25 [size =\"50140160\"]\n  18 [size=\"52722347\", alpha=\"0.16\", expect_size=\"15816704\"] \n  19 [size=\"23685120\", alpha=\"0.03\", expect_size=\"7105536\"] \n  20 [size=\"40963413\", alpha=\"0.07\", expect_size=\"12289024\"] \n  21 [size=\"65041067\", alpha=\"0.15\", expect_size=\"19512320\"] \n  22 [size=\"159989760\", alpha=\"0.10\", expect_size=\"47996928\"] \n  23 [size=\"22756693\", alpha=\"0.19\", expect_size=\"6827008\"] \n  24 [size=\"150077440\", alpha=\"0.19\", expect_size=\"45023232\"] \n  25 [size=\"83343360\", alpha=\"0.11\", expect_size=\"25003008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65892352\", alpha=\"0.01\", expect_size=\"32946176\"] \n  1 -> 18 [size =\"32946176\"]\n  1 -> 18 [size =\"32946176\"]\n  1 -> 20 [size =\"32946176\"]\n  2 [size=\"18948096\", alpha=\"0.13\", expect_size=\"9474048\"] \n  2 -> 17 [size =\"9474048\"]\n  2 -> 19 [size =\"9474048\"]\n  2 -> 22 [size =\"9474048\"]\n  2 -> 25 [size =\"9474048\"]\n  3 [size=\"38952960\", alpha=\"0.19\", expect_size=\"19476480\"] \n  3 -> 17 [size =\"19476480\"]\n  3 -> 18 [size =\"19476480\"]\n  3 -> 24 [size =\"19476480\"]\n  4 [size=\"76576768\", alpha=\"0.15\", expect_size=\"38288384\"] \n  4 -> 22 [size =\"38288384\"]\n  4 -> 25 [size =\"38288384\"]\n  5 [size=\"14620672\", alpha=\"0.04\", expect_size=\"7310336\"] \n  5 -> 17 [size =\"7310336\"]\n  5 -> 19 [size =\"7310336\"]\n  5 -> 22 [size =\"7310336\"]\n  5 -> 23 [size =\"7310336\"]\n  5 -> 25 [size =\"7310336\"]\n  6 [size=\"62171136\", alpha=\"0.19\", expect_size=\"31085568\"] \n  6 -> 17 [size =\"31085568\"]\n  6 -> 19 [size =\"31085568\"]\n  6 -> 20 [size =\"31085568\"]\n  6 -> 23 [size =\"31085568\"]\n  6 -> 25 [size =\"31085568\"]\n  7 [size=\"58200064\", alpha=\"0.05\", expect_size=\"29100032\"] \n  7 -> 17 [size =\"29100032\"]\n  7 -> 19 [size =\"29100032\"]\n  7 -> 20 [size =\"29100032\"]\n  7 -> 21 [size =\"29100032\"]\n  7 -> 24 [size =\"29100032\"]\n  7 -> 25 [size =\"29100032\"]\n  8 [size=\"83777536\", alpha=\"0.12\", expect_size=\"41888768\"] \n  8 -> 17 [size =\"41888768\"]\n  8 -> 19 [size =\"41888768\"]\n  8 -> 20 [size =\"41888768\"]\n  8 -> 25 [size =\"41888768\"]\n  9 [size=\"53696512\", alpha=\"0.02\", expect_size=\"26848256\"] \n  9 -> 17 [size =\"26848256\"]\n  9 -> 18 [size =\"26848256\"]\n  9 -> 19 [size =\"26848256\"]\n  9 -> 20 [size =\"26848256\"]\n  9 -> 22 [size =\"26848256\"]\n  9 -> 24 [size =\"26848256\"]\n  9 -> 25 [size =\"26848256\"]\n  10 [size=\"72515584\", alpha=\"0.10\", expect_size=\"36257792\"] \n  10 -> 17 [size =\"36257792\"]\n  10 -> 20 [size =\"36257792\"]\n  10 -> 22 [size =\"36257792\"]\n  10 -> 23 [size =\"36257792\"]\n  10 -> 24 [size =\"36257792\"]\n  11 [size=\"83361792\", alpha=\"0.19\", expect_size=\"41680896\"] \n  11 -> 17 [size =\"41680896\"]\n  11 -> 22 [size =\"41680896\"]\n  11 -> 23 [size =\"41680896\"]\n  11 -> 24 [size =\"41680896\"]\n  11 -> 25 [size =\"41680896\"]\n  12 [size=\"87115776\", alpha=\"0.18\", expect_size=\"43557888\"] \n  12 -> 17 [size =\"43557888\"]\n  12 -> 18 [size =\"43557888\"]\n  12 -> 19 [size =\"43557888\"]\n  12 -> 24 [size =\"43557888\"]\n  12 -> 25 [size =\"43557888\"]\n  13 [size=\"55341056\", alpha=\"0.02\", expect_size=\"27670528\"] \n  13 -> 17 [size =\"27670528\"]\n  13 -> 21 [size =\"27670528\"]\n  13 -> 25 [size =\"27670528\"]\n  14 [size=\"50755584\", alpha=\"0.10\", expect_size=\"25377792\"] \n  14 -> 25 [size =\"25377792\"]\n  15 [size=\"28884992\", alpha=\"0.06\", expect_size=\"14442496\"] \n  15 -> 24 [size =\"14442496\"]\n  15 -> 25 [size =\"14442496\"]\n  16 [size=\"46864384\", alpha=\"0.19\", expect_size=\"23432192\"] \n  16 -> 17 [size =\"23432192\"]\n  16 -> 18 [size =\"23432192\"]\n  16 -> 20 [size =\"23432192\"]\n  16 -> 21 [size =\"23432192\"]\n  16 -> 22 [size =\"23432192\"]\n  16 -> 24 [size =\"23432192\"]\n  16 -> 25 [size =\"23432192\"]\n  17 [size=\"40081408\", alpha=\"0.06\", expect_size=\"20040704\"] \n  18 [size=\"62248960\", alpha=\"0.11\", expect_size=\"31124480\"] \n  19 [size=\"26759168\", alpha=\"0.04\", expect_size=\"13379584\"] \n  20 [size=\"35860480\", alpha=\"0.05\", expect_size=\"17930240\"] \n  21 [size=\"84719616\", alpha=\"0.18\", expect_size=\"42359808\"] \n  22 [size=\"79140864\", alpha=\"0.13\", expect_size=\"39570432\"] \n  23 [size=\"67895296\", alpha=\"0.14\", expect_size=\"33947648\"] \n  24 [size=\"79118336\", alpha=\"0.09\", expect_size=\"39559168\"] \n  25 [size=\"33953792\", alpha=\"0.04\", expect_size=\"16976896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94461440\", alpha=\"0.08\", expect_size=\"37784576\"] \n  1 -> 24 [size =\"37784576\"]\n  2 [size=\"16422400\", alpha=\"0.15\", expect_size=\"6568960\"] \n  2 -> 15 [size =\"6568960\"]\n  2 -> 20 [size =\"6568960\"]\n  2 -> 22 [size =\"6568960\"]\n  3 [size=\"120325120\", alpha=\"0.09\", expect_size=\"48130048\"] \n  3 -> 21 [size =\"48130048\"]\n  3 -> 23 [size =\"48130048\"]\n  4 [size=\"15444480\", alpha=\"0.07\", expect_size=\"6177792\"] \n  4 -> 14 [size =\"6177792\"]\n  4 -> 21 [size =\"6177792\"]\n  4 -> 22 [size =\"6177792\"]\n  5 [size=\"74695680\", alpha=\"0.11\", expect_size=\"29878272\"] \n  5 -> 22 [size =\"29878272\"]\n  6 [size=\"21434880\", alpha=\"0.15\", expect_size=\"8573952\"] \n  6 -> 19 [size =\"8573952\"]\n  6 -> 22 [size =\"8573952\"]\n  6 -> 23 [size =\"8573952\"]\n  7 [size=\"30087680\", alpha=\"0.13\", expect_size=\"12035072\"] \n  7 -> 18 [size =\"12035072\"]\n  7 -> 24 [size =\"12035072\"]\n  7 -> 25 [size =\"12035072\"]\n  8 [size=\"73466880\", alpha=\"0.02\", expect_size=\"29386752\"] \n  8 -> 12 [size =\"29386752\"]\n  8 -> 13 [size =\"29386752\"]\n  8 -> 16 [size =\"29386752\"]\n  8 -> 17 [size =\"29386752\"]\n  8 -> 22 [size =\"29386752\"]\n  8 -> 24 [size =\"29386752\"]\n  9 [size=\"115658240\", alpha=\"0.16\", expect_size=\"46263296\"] \n  9 -> 17 [size =\"46263296\"]\n  9 -> 20 [size =\"46263296\"]\n  9 -> 21 [size =\"46263296\"]\n  9 -> 22 [size =\"46263296\"]\n  9 -> 24 [size =\"46263296\"]\n  9 -> 25 [size =\"46263296\"]\n  10 [size=\"45662720\", alpha=\"0.18\", expect_size=\"18265088\"] \n  10 -> 12 [size =\"18265088\"]\n  10 -> 18 [size =\"18265088\"]\n  10 -> 24 [size =\"18265088\"]\n  11 [size=\"38592000\", alpha=\"0.20\", expect_size=\"15436800\"] \n  11 -> 15 [size =\"15436800\"]\n  11 -> 21 [size =\"15436800\"]\n  11 -> 24 [size =\"15436800\"]\n  11 -> 25 [size =\"15436800\"]\n  12 [size=\"86571520\", alpha=\"0.03\", expect_size=\"34628608\"] \n  13 [size=\"57336320\", alpha=\"0.01\", expect_size=\"22934528\"] \n  14 [size=\"112668160\", alpha=\"0.05\", expect_size=\"45067264\"] \n  15 [size=\"38392320\", alpha=\"0.09\", expect_size=\"15356928\"] \n  16 [size=\"103523840\", alpha=\"0.19\", expect_size=\"41409536\"] \n  17 [size=\"74027520\", alpha=\"0.08\", expect_size=\"29611008\"] \n  18 [size=\"31362560\", alpha=\"0.12\", expect_size=\"12545024\"] \n  19 [size=\"40785920\", alpha=\"0.03\", expect_size=\"16314368\"] \n  20 [size=\"14617600\", alpha=\"0.09\", expect_size=\"5847040\"] \n  21 [size=\"122583040\", alpha=\"0.08\", expect_size=\"49033216\"] \n  22 [size=\"119900160\", alpha=\"0.08\", expect_size=\"47960064\"] \n  23 [size=\"18155520\", alpha=\"0.06\", expect_size=\"7262208\"] \n  24 [size=\"23178240\", alpha=\"0.05\", expect_size=\"9271296\"] \n  25 [size=\"52042240\", alpha=\"0.14\", expect_size=\"20816896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141987840\", alpha=\"0.05\", expect_size=\"42596352\"] \n  2 [size=\"169373013\", alpha=\"0.07\", expect_size=\"50811904\"] \n  2 -> 22 [size =\"50811904\"]\n  3 [size=\"98481493\", alpha=\"0.20\", expect_size=\"29544448\"] \n  4 [size=\"70597973\", alpha=\"0.19\", expect_size=\"21179392\"] \n  5 [size=\"174469120\", alpha=\"0.08\", expect_size=\"52340736\"] \n  6 [size=\"110336000\", alpha=\"0.01\", expect_size=\"33100800\"] \n  6 -> 23 [size =\"33100800\"]\n  7 [size=\"139847680\", alpha=\"0.11\", expect_size=\"41954304\"] \n  7 -> 24 [size =\"41954304\"]\n  7 -> 25 [size =\"41954304\"]\n  8 [size=\"134004053\", alpha=\"0.00\", expect_size=\"40201216\"] \n  8 -> 24 [size =\"40201216\"]\n  9 [size=\"139042133\", alpha=\"0.19\", expect_size=\"41712640\"] \n  9 -> 23 [size =\"41712640\"]\n  10 [size=\"156528640\", alpha=\"0.16\", expect_size=\"46958592\"] \n  10 -> 24 [size =\"46958592\"]\n  10 -> 25 [size =\"46958592\"]\n  11 [size=\"119067307\", alpha=\"0.20\", expect_size=\"35720192\"] \n  11 -> 25 [size =\"35720192\"]\n  12 [size=\"161450667\", alpha=\"0.07\", expect_size=\"48435200\"] \n  12 -> 25 [size =\"48435200\"]\n  13 [size=\"56971947\", alpha=\"0.09\", expect_size=\"17091584\"] \n  13 -> 22 [size =\"17091584\"]\n  14 [size=\"53862400\", alpha=\"0.09\", expect_size=\"16158720\"] \n  14 -> 25 [size =\"16158720\"]\n  15 [size=\"48288427\", alpha=\"0.01\", expect_size=\"14486528\"] \n  15 -> 24 [size =\"14486528\"]\n  15 -> 25 [size =\"14486528\"]\n  16 [size=\"111854933\", alpha=\"0.08\", expect_size=\"33556480\"] \n  16 -> 22 [size =\"33556480\"]\n  16 -> 25 [size =\"33556480\"]\n  17 [size=\"121344000\", alpha=\"0.19\", expect_size=\"36403200\"] \n  17 -> 25 [size =\"36403200\"]\n  17 -> 25 [size =\"36403200\"]\n  18 [size=\"47124480\", alpha=\"0.13\", expect_size=\"14137344\"] \n  18 -> 25 [size =\"14137344\"]\n  19 [size=\"50230613\", alpha=\"0.11\", expect_size=\"15069184\"] \n  19 -> 25 [size =\"15069184\"]\n  20 [size=\"40949760\", alpha=\"0.11\", expect_size=\"12284928\"] \n  20 -> 23 [size =\"12284928\"]\n  21 [size=\"165324800\", alpha=\"0.06\", expect_size=\"49597440\"] \n  22 [size=\"163478187\", alpha=\"0.02\", expect_size=\"49043456\"] \n  23 [size=\"63607467\", alpha=\"0.07\", expect_size=\"19082240\"] \n  24 [size=\"131723947\", alpha=\"0.19\", expect_size=\"39517184\"] \n  25 [size=\"42127360\", alpha=\"0.11\", expect_size=\"12638208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12521472\", alpha=\"0.03\", expect_size=\"6260736\"] \n  2 [size=\"84967424\", alpha=\"0.09\", expect_size=\"42483712\"] \n  2 -> 3 [size =\"42483712\"]\n  2 -> 4 [size =\"42483712\"]\n  3 [size=\"25985024\", alpha=\"0.10\", expect_size=\"12992512\"] \n  3 -> 5 [size =\"12992512\"]\n  4 [size=\"70367232\", alpha=\"0.04\", expect_size=\"35183616\"] \n  5 [size=\"86659072\", alpha=\"0.01\", expect_size=\"43329536\"] \n  5 -> 6 [size =\"43329536\"]\n  6 [size=\"33800192\", alpha=\"0.12\", expect_size=\"16900096\"] \n  6 -> 7 [size =\"16900096\"]\n  7 [size=\"71610368\", alpha=\"0.15\", expect_size=\"35805184\"] \n  7 -> 8 [size =\"35805184\"]\n  7 -> 9 [size =\"35805184\"]\n  8 [size=\"63289344\", alpha=\"0.04\", expect_size=\"31644672\"] \n  8 -> 10 [size =\"31644672\"]\n  9 [size=\"28495872\", alpha=\"0.14\", expect_size=\"14247936\"] \n  10 [size=\"91516928\", alpha=\"0.05\", expect_size=\"45758464\"] \n  10 -> 11 [size =\"45758464\"]\n  11 [size=\"90456064\", alpha=\"0.01\", expect_size=\"45228032\"] \n  11 -> 12 [size =\"45228032\"]\n  11 -> 13 [size =\"45228032\"]\n  12 [size=\"102500352\", alpha=\"0.19\", expect_size=\"51250176\"] \n  12 -> 14 [size =\"51250176\"]\n  13 [size=\"48986112\", alpha=\"0.07\", expect_size=\"24493056\"] \n  13 -> 14 [size =\"24493056\"]\n  13 -> 15 [size =\"24493056\"]\n  14 [size=\"95698944\", alpha=\"0.07\", expect_size=\"47849472\"] \n  14 -> 17 [size =\"47849472\"]\n  15 [size=\"20791296\", alpha=\"0.20\", expect_size=\"10395648\"] \n  15 -> 16 [size =\"10395648\"]\n  15 -> 17 [size =\"10395648\"]\n  16 [size=\"23412736\", alpha=\"0.04\", expect_size=\"11706368\"] \n  17 [size=\"81760256\", alpha=\"0.15\", expect_size=\"40880128\"] \n  17 -> 18 [size =\"40880128\"]\n  17 -> 19 [size =\"40880128\"]\n  18 [size=\"58984448\", alpha=\"0.08\", expect_size=\"29492224\"] \n  18 -> 20 [size =\"29492224\"]\n  18 -> 21 [size =\"29492224\"]\n  19 [size=\"76701696\", alpha=\"0.15\", expect_size=\"38350848\"] \n  19 -> 20 [size =\"38350848\"]\n  19 -> 21 [size =\"38350848\"]\n  20 [size=\"47509504\", alpha=\"0.19\", expect_size=\"23754752\"] \n  20 -> 22 [size =\"23754752\"]\n  20 -> 23 [size =\"23754752\"]\n  21 [size=\"72343552\", alpha=\"0.04\", expect_size=\"36171776\"] \n  22 [size=\"75704320\", alpha=\"0.04\", expect_size=\"37852160\"] \n  22 -> 24 [size =\"37852160\"]\n  22 -> 25 [size =\"37852160\"]\n  23 [size=\"68679680\", alpha=\"0.07\", expect_size=\"34339840\"] \n  23 -> 24 [size =\"34339840\"]\n  24 [size=\"103254016\", alpha=\"0.03\", expect_size=\"51627008\"] \n  25 [size=\"42201088\", alpha=\"0.15\", expect_size=\"21100544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101783040\", alpha=\"0.01\", expect_size=\"40713216\"] \n  1 -> 4 [size =\"40713216\"]\n  1 -> 5 [size =\"40713216\"]\n  1 -> 7 [size =\"40713216\"]\n  2 [size=\"13450240\", alpha=\"0.04\", expect_size=\"5380096\"] \n  2 -> 5 [size =\"5380096\"]\n  3 [size=\"70382080\", alpha=\"0.03\", expect_size=\"28152832\"] \n  3 -> 6 [size =\"28152832\"]\n  3 -> 7 [size =\"28152832\"]\n  4 [size=\"33443840\", alpha=\"0.05\", expect_size=\"13377536\"] \n  4 -> 9 [size =\"13377536\"]\n  4 -> 10 [size =\"13377536\"]\n  5 [size=\"24555520\", alpha=\"0.17\", expect_size=\"9822208\"] \n  5 -> 8 [size =\"9822208\"]\n  6 [size=\"102807040\", alpha=\"0.09\", expect_size=\"41122816\"] \n  6 -> 8 [size =\"41122816\"]\n  7 [size=\"31203840\", alpha=\"0.17\", expect_size=\"12481536\"] \n  7 -> 8 [size =\"12481536\"]\n  8 [size=\"94310400\", alpha=\"0.03\", expect_size=\"37724160\"] \n  8 -> 11 [size =\"37724160\"]\n  8 -> 12 [size =\"37724160\"]\n  9 [size=\"85212160\", alpha=\"0.03\", expect_size=\"34084864\"] \n  9 -> 11 [size =\"34084864\"]\n  9 -> 13 [size =\"34084864\"]\n  9 -> 14 [size =\"34084864\"]\n  10 [size=\"28098560\", alpha=\"0.09\", expect_size=\"11239424\"] \n  10 -> 11 [size =\"11239424\"]\n  10 -> 12 [size =\"11239424\"]\n  10 -> 13 [size =\"11239424\"]\n  10 -> 14 [size =\"11239424\"]\n  11 [size=\"31388160\", alpha=\"0.18\", expect_size=\"12555264\"] \n  11 -> 15 [size =\"12555264\"]\n  12 [size=\"35189760\", alpha=\"0.10\", expect_size=\"14075904\"] \n  12 -> 16 [size =\"14075904\"]\n  12 -> 17 [size =\"14075904\"]\n  13 [size=\"57400320\", alpha=\"0.19\", expect_size=\"22960128\"] \n  13 -> 15 [size =\"22960128\"]\n  13 -> 17 [size =\"22960128\"]\n  14 [size=\"75118080\", alpha=\"0.13\", expect_size=\"30047232\"] \n  14 -> 18 [size =\"30047232\"]\n  15 [size=\"102351360\", alpha=\"0.19\", expect_size=\"40940544\"] \n  16 [size=\"86643200\", alpha=\"0.11\", expect_size=\"34657280\"] \n  16 -> 20 [size =\"34657280\"]\n  17 [size=\"24061440\", alpha=\"0.05\", expect_size=\"9624576\"] \n  18 [size=\"124303360\", alpha=\"0.16\", expect_size=\"49721344\"] \n  18 -> 19 [size =\"49721344\"]\n  18 -> 20 [size =\"49721344\"]\n  18 -> 21 [size =\"49721344\"]\n  19 [size=\"22878720\", alpha=\"0.06\", expect_size=\"9151488\"] \n  19 -> 23 [size =\"9151488\"]\n  19 -> 24 [size =\"9151488\"]\n  20 [size=\"37844480\", alpha=\"0.04\", expect_size=\"15137792\"] \n  20 -> 22 [size =\"15137792\"]\n  20 -> 23 [size =\"15137792\"]\n  21 [size=\"91901440\", alpha=\"0.17\", expect_size=\"36760576\"] \n  21 -> 24 [size =\"36760576\"]\n  22 [size=\"77480960\", alpha=\"0.09\", expect_size=\"30992384\"] \n  23 [size=\"17996800\", alpha=\"0.12\", expect_size=\"7198720\"] \n  23 -> 25 [size =\"7198720\"]\n  24 [size=\"130012160\", alpha=\"0.18\", expect_size=\"52004864\"] \n  24 -> 25 [size =\"52004864\"]\n  25 [size=\"87651840\", alpha=\"0.06\", expect_size=\"35060736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57986560\", alpha=\"0.11\", expect_size=\"23194624\"] \n  1 -> 11 [size =\"23194624\"]\n  1 -> 13 [size =\"23194624\"]\n  2 [size=\"85521920\", alpha=\"0.02\", expect_size=\"34208768\"] \n  2 -> 7 [size =\"34208768\"]\n  2 -> 9 [size =\"34208768\"]\n  2 -> 10 [size =\"34208768\"]\n  2 -> 12 [size =\"34208768\"]\n  2 -> 13 [size =\"34208768\"]\n  3 [size=\"18577920\", alpha=\"0.08\", expect_size=\"7431168\"] \n  3 -> 9 [size =\"7431168\"]\n  3 -> 12 [size =\"7431168\"]\n  3 -> 13 [size =\"7431168\"]\n  4 [size=\"46868480\", alpha=\"0.07\", expect_size=\"18747392\"] \n  4 -> 7 [size =\"18747392\"]\n  4 -> 11 [size =\"18747392\"]\n  4 -> 12 [size =\"18747392\"]\n  5 [size=\"72885760\", alpha=\"0.01\", expect_size=\"29154304\"] \n  5 -> 7 [size =\"29154304\"]\n  5 -> 8 [size =\"29154304\"]\n  5 -> 11 [size =\"29154304\"]\n  6 [size=\"18611200\", alpha=\"0.18\", expect_size=\"7444480\"] \n  6 -> 11 [size =\"7444480\"]\n  7 [size=\"44144640\", alpha=\"0.11\", expect_size=\"17657856\"] \n  7 -> 14 [size =\"17657856\"]\n  7 -> 18 [size =\"17657856\"]\n  7 -> 19 [size =\"17657856\"]\n  7 -> 22 [size =\"17657856\"]\n  8 [size=\"62292480\", alpha=\"0.12\", expect_size=\"24916992\"] \n  8 -> 16 [size =\"24916992\"]\n  8 -> 19 [size =\"24916992\"]\n  8 -> 19 [size =\"24916992\"]\n  8 -> 20 [size =\"24916992\"]\n  9 [size=\"15636480\", alpha=\"0.15\", expect_size=\"6254592\"] \n  9 -> 14 [size =\"6254592\"]\n  9 -> 16 [size =\"6254592\"]\n  9 -> 17 [size =\"6254592\"]\n  9 -> 19 [size =\"6254592\"]\n  9 -> 21 [size =\"6254592\"]\n  10 [size=\"16166400\", alpha=\"0.07\", expect_size=\"6466560\"] \n  10 -> 14 [size =\"6466560\"]\n  10 -> 15 [size =\"6466560\"]\n  10 -> 20 [size =\"6466560\"]\n  11 [size=\"30740480\", alpha=\"0.03\", expect_size=\"12296192\"] \n  11 -> 15 [size =\"12296192\"]\n  11 -> 16 [size =\"12296192\"]\n  11 -> 17 [size =\"12296192\"]\n  11 -> 20 [size =\"12296192\"]\n  11 -> 22 [size =\"12296192\"]\n  12 [size=\"95546880\", alpha=\"0.20\", expect_size=\"38218752\"] \n  12 -> 14 [size =\"38218752\"]\n  12 -> 15 [size =\"38218752\"]\n  13 [size=\"105446400\", alpha=\"0.06\", expect_size=\"42178560\"] \n  13 -> 15 [size =\"42178560\"]\n  13 -> 20 [size =\"42178560\"]\n  14 [size=\"36395520\", alpha=\"0.06\", expect_size=\"14558208\"] \n  14 -> 23 [size =\"14558208\"]\n  14 -> 24 [size =\"14558208\"]\n  15 [size=\"79552000\", alpha=\"0.09\", expect_size=\"31820800\"] \n  15 -> 23 [size =\"31820800\"]\n  15 -> 24 [size =\"31820800\"]\n  16 [size=\"87697920\", alpha=\"0.14\", expect_size=\"35079168\"] \n  16 -> 23 [size =\"35079168\"]\n  17 [size=\"74667520\", alpha=\"0.14\", expect_size=\"29867008\"] \n  17 -> 24 [size =\"29867008\"]\n  18 [size=\"23116800\", alpha=\"0.15\", expect_size=\"9246720\"] \n  18 -> 25 [size =\"9246720\"]\n  19 [size=\"94039040\", alpha=\"0.11\", expect_size=\"37615616\"] \n  19 -> 25 [size =\"37615616\"]\n  20 [size=\"61665280\", alpha=\"0.12\", expect_size=\"24666112\"] \n  21 [size=\"101713920\", alpha=\"0.00\", expect_size=\"40685568\"] \n  21 -> 23 [size =\"40685568\"]\n  21 -> 25 [size =\"40685568\"]\n  22 [size=\"117990400\", alpha=\"0.01\", expect_size=\"47196160\"] \n  22 -> 23 [size =\"47196160\"]\n  23 [size=\"117434880\", alpha=\"0.03\", expect_size=\"46973952\"] \n  24 [size=\"36710400\", alpha=\"0.10\", expect_size=\"14684160\"] \n  25 [size=\"69383680\", alpha=\"0.08\", expect_size=\"27753472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51739307\", alpha=\"0.15\", expect_size=\"15521792\"] \n  1 -> 22 [size =\"15521792\"]\n  2 [size=\"54961493\", alpha=\"0.04\", expect_size=\"16488448\"] \n  2 -> 23 [size =\"16488448\"]\n  2 -> 25 [size =\"16488448\"]\n  3 [size=\"90784427\", alpha=\"0.01\", expect_size=\"27235328\"] \n  3 -> 23 [size =\"27235328\"]\n  3 -> 25 [size =\"27235328\"]\n  4 [size=\"39717547\", alpha=\"0.08\", expect_size=\"11915264\"] \n  4 -> 23 [size =\"11915264\"]\n  4 -> 24 [size =\"11915264\"]\n  5 [size=\"86859093\", alpha=\"0.17\", expect_size=\"26057728\"] \n  5 -> 25 [size =\"26057728\"]\n  6 [size=\"51551573\", alpha=\"0.17\", expect_size=\"15465472\"] \n  6 -> 22 [size =\"15465472\"]\n  6 -> 24 [size =\"15465472\"]\n  7 [size=\"75881813\", alpha=\"0.03\", expect_size=\"22764544\"] \n  7 -> 23 [size =\"22764544\"]\n  7 -> 24 [size =\"22764544\"]\n  7 -> 25 [size =\"22764544\"]\n  8 [size=\"131829760\", alpha=\"0.08\", expect_size=\"39548928\"] \n  8 -> 24 [size =\"39548928\"]\n  8 -> 25 [size =\"39548928\"]\n  9 [size=\"91644587\", alpha=\"0.14\", expect_size=\"27493376\"] \n  9 -> 22 [size =\"27493376\"]\n  9 -> 24 [size =\"27493376\"]\n  9 -> 25 [size =\"27493376\"]\n  10 [size=\"162065067\", alpha=\"0.09\", expect_size=\"48619520\"] \n  10 -> 22 [size =\"48619520\"]\n  10 -> 24 [size =\"48619520\"]\n  11 [size=\"94610773\", alpha=\"0.14\", expect_size=\"28383232\"] \n  11 -> 22 [size =\"28383232\"]\n  11 -> 24 [size =\"28383232\"]\n  11 -> 25 [size =\"28383232\"]\n  12 [size=\"54869333\", alpha=\"0.09\", expect_size=\"16460800\"] \n  12 -> 22 [size =\"16460800\"]\n  13 [size=\"86760107\", alpha=\"0.14\", expect_size=\"26028032\"] \n  13 -> 23 [size =\"26028032\"]\n  14 [size=\"96843093\", alpha=\"0.09\", expect_size=\"29052928\"] \n  14 -> 22 [size =\"29052928\"]\n  15 [size=\"157969067\", alpha=\"0.04\", expect_size=\"47390720\"] \n  15 -> 22 [size =\"47390720\"]\n  15 -> 25 [size =\"47390720\"]\n  16 [size=\"137355947\", alpha=\"0.14\", expect_size=\"41206784\"] \n  16 -> 25 [size =\"41206784\"]\n  17 [size=\"116828160\", alpha=\"0.13\", expect_size=\"35048448\"] \n  17 -> 22 [size =\"35048448\"]\n  18 [size=\"143267840\", alpha=\"0.14\", expect_size=\"42980352\"] \n  18 -> 22 [size =\"42980352\"]\n  18 -> 25 [size =\"42980352\"]\n  19 [size=\"44997973\", alpha=\"0.04\", expect_size=\"13499392\"] \n  19 -> 22 [size =\"13499392\"]\n  19 -> 23 [size =\"13499392\"]\n  19 -> 25 [size =\"13499392\"]\n  20 [size=\"156119040\", alpha=\"0.13\", expect_size=\"46835712\"] \n  20 -> 22 [size =\"46835712\"]\n  20 -> 25 [size =\"46835712\"]\n  21 [size=\"66160640\", alpha=\"0.06\", expect_size=\"19848192\"] \n  21 -> 22 [size =\"19848192\"]\n  22 [size=\"17739093\", alpha=\"0.04\", expect_size=\"5321728\"] \n  23 [size=\"90702507\", alpha=\"0.12\", expect_size=\"27210752\"] \n  24 [size=\"46257493\", alpha=\"0.02\", expect_size=\"13877248\"] \n  25 [size=\"114657280\", alpha=\"0.02\", expect_size=\"34397184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37982208\", alpha=\"0.08\", expect_size=\"18991104\"] \n  1 -> 6 [size =\"18991104\"]\n  2 [size=\"65323008\", alpha=\"0.00\", expect_size=\"32661504\"] \n  2 -> 7 [size =\"32661504\"]\n  2 -> 8 [size =\"32661504\"]\n  3 [size=\"103864320\", alpha=\"0.04\", expect_size=\"51932160\"] \n  3 -> 6 [size =\"51932160\"]\n  4 [size=\"79247360\", alpha=\"0.17\", expect_size=\"39623680\"] \n  4 -> 6 [size =\"39623680\"]\n  4 -> 7 [size =\"39623680\"]\n  5 [size=\"75476992\", alpha=\"0.02\", expect_size=\"37738496\"] \n  5 -> 8 [size =\"37738496\"]\n  6 [size=\"64094208\", alpha=\"0.10\", expect_size=\"32047104\"] \n  6 -> 11 [size =\"32047104\"]\n  6 -> 12 [size =\"32047104\"]\n  7 [size=\"41326592\", alpha=\"0.18\", expect_size=\"20663296\"] \n  7 -> 9 [size =\"20663296\"]\n  7 -> 10 [size =\"20663296\"]\n  7 -> 11 [size =\"20663296\"]\n  8 [size=\"93810688\", alpha=\"0.14\", expect_size=\"46905344\"] \n  8 -> 10 [size =\"46905344\"]\n  9 [size=\"87818240\", alpha=\"0.10\", expect_size=\"43909120\"] \n  9 -> 13 [size =\"43909120\"]\n  10 [size=\"78596096\", alpha=\"0.14\", expect_size=\"39298048\"] \n  10 -> 15 [size =\"39298048\"]\n  10 -> 16 [size =\"39298048\"]\n  11 [size=\"77801472\", alpha=\"0.05\", expect_size=\"38900736\"] \n  11 -> 14 [size =\"38900736\"]\n  12 [size=\"23113728\", alpha=\"0.05\", expect_size=\"11556864\"] \n  12 -> 13 [size =\"11556864\"]\n  12 -> 16 [size =\"11556864\"]\n  13 [size=\"24774656\", alpha=\"0.13\", expect_size=\"12387328\"] \n  13 -> 17 [size =\"12387328\"]\n  13 -> 18 [size =\"12387328\"]\n  13 -> 19 [size =\"12387328\"]\n  14 [size=\"43825152\", alpha=\"0.18\", expect_size=\"21912576\"] \n  14 -> 18 [size =\"21912576\"]\n  15 [size=\"28667904\", alpha=\"0.19\", expect_size=\"14333952\"] \n  16 [size=\"38463488\", alpha=\"0.18\", expect_size=\"19231744\"] \n  16 -> 19 [size =\"19231744\"]\n  16 -> 20 [size =\"19231744\"]\n  17 [size=\"83625984\", alpha=\"0.06\", expect_size=\"41812992\"] \n  17 -> 21 [size =\"41812992\"]\n  18 [size=\"72314880\", alpha=\"0.17\", expect_size=\"36157440\"] \n  18 -> 21 [size =\"36157440\"]\n  18 -> 23 [size =\"36157440\"]\n  19 [size=\"42704896\", alpha=\"0.16\", expect_size=\"21352448\"] \n  19 -> 22 [size =\"21352448\"]\n  19 -> 23 [size =\"21352448\"]\n  20 [size=\"90851328\", alpha=\"0.07\", expect_size=\"45425664\"] \n  21 [size=\"61708288\", alpha=\"0.04\", expect_size=\"30854144\"] \n  21 -> 24 [size =\"30854144\"]\n  21 -> 25 [size =\"30854144\"]\n  22 [size=\"87144448\", alpha=\"0.13\", expect_size=\"43572224\"] \n  23 [size=\"15073280\", alpha=\"0.01\", expect_size=\"7536640\"] \n  24 [size=\"77584384\", alpha=\"0.04\", expect_size=\"38792192\"] \n  25 [size=\"69048320\", alpha=\"0.01\", expect_size=\"34524160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28717056\", alpha=\"0.02\", expect_size=\"14358528\"] \n  2 [size=\"38340608\", alpha=\"0.02\", expect_size=\"19170304\"] \n  2 -> 7 [size =\"19170304\"]\n  3 [size=\"96823296\", alpha=\"0.12\", expect_size=\"48411648\"] \n  3 -> 6 [size =\"48411648\"]\n  3 -> 7 [size =\"48411648\"]\n  4 [size=\"37130240\", alpha=\"0.00\", expect_size=\"18565120\"] \n  4 -> 5 [size =\"18565120\"]\n  5 [size=\"73799680\", alpha=\"0.10\", expect_size=\"36899840\"] \n  5 -> 8 [size =\"36899840\"]\n  6 [size=\"31559680\", alpha=\"0.06\", expect_size=\"15779840\"] \n  6 -> 9 [size =\"15779840\"]\n  7 [size=\"88270848\", alpha=\"0.12\", expect_size=\"44135424\"] \n  7 -> 8 [size =\"44135424\"]\n  7 -> 9 [size =\"44135424\"]\n  7 -> 10 [size =\"44135424\"]\n  8 [size=\"28444672\", alpha=\"0.05\", expect_size=\"14222336\"] \n  8 -> 12 [size =\"14222336\"]\n  8 -> 13 [size =\"14222336\"]\n  9 [size=\"49743872\", alpha=\"0.06\", expect_size=\"24871936\"] \n  9 -> 11 [size =\"24871936\"]\n  10 [size=\"48416768\", alpha=\"0.10\", expect_size=\"24208384\"] \n  10 -> 11 [size =\"24208384\"]\n  10 -> 13 [size =\"24208384\"]\n  11 [size=\"37615616\", alpha=\"0.12\", expect_size=\"18807808\"] \n  11 -> 16 [size =\"18807808\"]\n  11 -> 17 [size =\"18807808\"]\n  12 [size=\"47523840\", alpha=\"0.08\", expect_size=\"23761920\"] \n  12 -> 14 [size =\"23761920\"]\n  12 -> 17 [size =\"23761920\"]\n  13 [size=\"56870912\", alpha=\"0.11\", expect_size=\"28435456\"] \n  13 -> 15 [size =\"28435456\"]\n  14 [size=\"19036160\", alpha=\"0.16\", expect_size=\"9518080\"] \n  14 -> 18 [size =\"9518080\"]\n  14 -> 19 [size =\"9518080\"]\n  15 [size=\"21024768\", alpha=\"0.10\", expect_size=\"10512384\"] \n  16 [size=\"66719744\", alpha=\"0.09\", expect_size=\"33359872\"] \n  16 -> 20 [size =\"33359872\"]\n  17 [size=\"94842880\", alpha=\"0.15\", expect_size=\"47421440\"] \n  17 -> 18 [size =\"47421440\"]\n  17 -> 19 [size =\"47421440\"]\n  18 [size=\"55498752\", alpha=\"0.03\", expect_size=\"27749376\"] \n  18 -> 21 [size =\"27749376\"]\n  19 [size=\"78073856\", alpha=\"0.01\", expect_size=\"39036928\"] \n  19 -> 22 [size =\"39036928\"]\n  20 [size=\"10608640\", alpha=\"0.01\", expect_size=\"5304320\"] \n  20 -> 23 [size =\"5304320\"]\n  21 [size=\"58054656\", alpha=\"0.04\", expect_size=\"29027328\"] \n  21 -> 24 [size =\"29027328\"]\n  22 [size=\"20060160\", alpha=\"0.14\", expect_size=\"10030080\"] \n  23 [size=\"59998208\", alpha=\"0.02\", expect_size=\"29999104\"] \n  23 -> 25 [size =\"29999104\"]\n  24 [size=\"17627136\", alpha=\"0.15\", expect_size=\"8813568\"] \n  25 [size=\"91686912\", alpha=\"0.02\", expect_size=\"45843456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76800000\", alpha=\"0.17\", expect_size=\"30720000\"] \n  1 -> 18 [size =\"30720000\"]\n  1 -> 24 [size =\"30720000\"]\n  2 [size=\"21416960\", alpha=\"0.20\", expect_size=\"8566784\"] \n  2 -> 21 [size =\"8566784\"]\n  3 [size=\"108346880\", alpha=\"0.13\", expect_size=\"43338752\"] \n  3 -> 18 [size =\"43338752\"]\n  3 -> 19 [size =\"43338752\"]\n  3 -> 22 [size =\"43338752\"]\n  3 -> 24 [size =\"43338752\"]\n  4 [size=\"86530560\", alpha=\"0.04\", expect_size=\"34612224\"] \n  4 -> 21 [size =\"34612224\"]\n  4 -> 22 [size =\"34612224\"]\n  4 -> 22 [size =\"34612224\"]\n  5 [size=\"60510720\", alpha=\"0.09\", expect_size=\"24204288\"] \n  5 -> 21 [size =\"24204288\"]\n  5 -> 25 [size =\"24204288\"]\n  6 [size=\"109250560\", alpha=\"0.07\", expect_size=\"43700224\"] \n  6 -> 21 [size =\"43700224\"]\n  7 [size=\"50882560\", alpha=\"0.08\", expect_size=\"20353024\"] \n  7 -> 20 [size =\"20353024\"]\n  7 -> 21 [size =\"20353024\"]\n  7 -> 22 [size =\"20353024\"]\n  7 -> 24 [size =\"20353024\"]\n  8 [size=\"127618560\", alpha=\"0.15\", expect_size=\"51047424\"] \n  8 -> 18 [size =\"51047424\"]\n  8 -> 19 [size =\"51047424\"]\n  8 -> 21 [size =\"51047424\"]\n  9 [size=\"101542400\", alpha=\"0.16\", expect_size=\"40616960\"] \n  9 -> 17 [size =\"40616960\"]\n  9 -> 18 [size =\"40616960\"]\n  9 -> 21 [size =\"40616960\"]\n  10 [size=\"110410240\", alpha=\"0.03\", expect_size=\"44164096\"] \n  10 -> 23 [size =\"44164096\"]\n  11 [size=\"116677120\", alpha=\"0.17\", expect_size=\"46670848\"] \n  11 -> 22 [size =\"46670848\"]\n  12 [size=\"99660800\", alpha=\"0.06\", expect_size=\"39864320\"] \n  12 -> 19 [size =\"39864320\"]\n  12 -> 23 [size =\"39864320\"]\n  13 [size=\"97057280\", alpha=\"0.01\", expect_size=\"38822912\"] \n  13 -> 19 [size =\"38822912\"]\n  13 -> 23 [size =\"38822912\"]\n  13 -> 24 [size =\"38822912\"]\n  13 -> 25 [size =\"38822912\"]\n  14 [size=\"53066240\", alpha=\"0.04\", expect_size=\"21226496\"] \n  14 -> 18 [size =\"21226496\"]\n  14 -> 19 [size =\"21226496\"]\n  14 -> 21 [size =\"21226496\"]\n  14 -> 22 [size =\"21226496\"]\n  14 -> 23 [size =\"21226496\"]\n  14 -> 24 [size =\"21226496\"]\n  14 -> 25 [size =\"21226496\"]\n  15 [size=\"77457920\", alpha=\"0.15\", expect_size=\"30983168\"] \n  15 -> 18 [size =\"30983168\"]\n  15 -> 19 [size =\"30983168\"]\n  15 -> 22 [size =\"30983168\"]\n  16 [size=\"14684160\", alpha=\"0.18\", expect_size=\"5873664\"] \n  16 -> 18 [size =\"5873664\"]\n  16 -> 19 [size =\"5873664\"]\n  16 -> 24 [size =\"5873664\"]\n  17 [size=\"56212480\", alpha=\"0.05\", expect_size=\"22484992\"] \n  18 [size=\"103313920\", alpha=\"0.13\", expect_size=\"41325568\"] \n  19 [size=\"76039680\", alpha=\"0.07\", expect_size=\"30415872\"] \n  20 [size=\"50513920\", alpha=\"0.01\", expect_size=\"20205568\"] \n  21 [size=\"69447680\", alpha=\"0.05\", expect_size=\"27779072\"] \n  22 [size=\"51927040\", alpha=\"0.11\", expect_size=\"20770816\"] \n  23 [size=\"86960640\", alpha=\"0.13\", expect_size=\"34784256\"] \n  24 [size=\"94970880\", alpha=\"0.08\", expect_size=\"37988352\"] \n  25 [size=\"119106560\", alpha=\"0.10\", expect_size=\"47642624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35365547\", alpha=\"0.17\", expect_size=\"10609664\"] \n  1 -> 4 [size =\"10609664\"]\n  1 -> 5 [size =\"10609664\"]\n  1 -> 6 [size =\"10609664\"]\n  1 -> 7 [size =\"10609664\"]\n  2 [size=\"49097387\", alpha=\"0.17\", expect_size=\"14729216\"] \n  2 -> 3 [size =\"14729216\"]\n  2 -> 5 [size =\"14729216\"]\n  2 -> 6 [size =\"14729216\"]\n  2 -> 7 [size =\"14729216\"]\n  3 [size=\"154337280\", alpha=\"0.01\", expect_size=\"46301184\"] \n  3 -> 8 [size =\"46301184\"]\n  3 -> 10 [size =\"46301184\"]\n  3 -> 11 [size =\"46301184\"]\n  4 [size=\"150903467\", alpha=\"0.16\", expect_size=\"45271040\"] \n  4 -> 11 [size =\"45271040\"]\n  4 -> 12 [size =\"45271040\"]\n  5 [size=\"94832640\", alpha=\"0.06\", expect_size=\"28449792\"] \n  5 -> 8 [size =\"28449792\"]\n  6 [size=\"81285120\", alpha=\"0.16\", expect_size=\"24385536\"] \n  6 -> 9 [size =\"24385536\"]\n  6 -> 11 [size =\"24385536\"]\n  7 [size=\"19916800\", alpha=\"0.13\", expect_size=\"5975040\"] \n  7 -> 8 [size =\"5975040\"]\n  7 -> 11 [size =\"5975040\"]\n  8 [size=\"24958293\", alpha=\"0.00\", expect_size=\"7487488\"] \n  8 -> 15 [size =\"7487488\"]\n  8 -> 16 [size =\"7487488\"]\n  8 -> 17 [size =\"7487488\"]\n  9 [size=\"38942720\", alpha=\"0.19\", expect_size=\"11682816\"] \n  9 -> 13 [size =\"11682816\"]\n  9 -> 14 [size =\"11682816\"]\n  9 -> 17 [size =\"11682816\"]\n  10 [size=\"165434027\", alpha=\"0.08\", expect_size=\"49630208\"] \n  10 -> 13 [size =\"49630208\"]\n  10 -> 17 [size =\"49630208\"]\n  11 [size=\"19971413\", alpha=\"0.03\", expect_size=\"5991424\"] \n  11 -> 15 [size =\"5991424\"]\n  11 -> 16 [size =\"5991424\"]\n  12 [size=\"155521707\", alpha=\"0.18\", expect_size=\"46656512\"] \n  12 -> 15 [size =\"46656512\"]\n  12 -> 17 [size =\"46656512\"]\n  13 [size=\"132355413\", alpha=\"0.06\", expect_size=\"39706624\"] \n  14 [size=\"142359893\", alpha=\"0.12\", expect_size=\"42707968\"] \n  14 -> 18 [size =\"42707968\"]\n  15 [size=\"108701013\", alpha=\"0.16\", expect_size=\"32610304\"] \n  15 -> 19 [size =\"32610304\"]\n  16 [size=\"157897387\", alpha=\"0.06\", expect_size=\"47369216\"] \n  16 -> 18 [size =\"47369216\"]\n  16 -> 20 [size =\"47369216\"]\n  17 [size=\"127798613\", alpha=\"0.11\", expect_size=\"38339584\"] \n  18 [size=\"75929600\", alpha=\"0.16\", expect_size=\"22778880\"] \n  19 [size=\"76991147\", alpha=\"0.18\", expect_size=\"23097344\"] \n  19 -> 21 [size =\"23097344\"]\n  19 -> 22 [size =\"23097344\"]\n  19 -> 23 [size =\"23097344\"]\n  20 [size=\"69676373\", alpha=\"0.06\", expect_size=\"20902912\"] \n  20 -> 22 [size =\"20902912\"]\n  20 -> 23 [size =\"20902912\"]\n  21 [size=\"131717120\", alpha=\"0.17\", expect_size=\"39515136\"] \n  22 [size=\"158044160\", alpha=\"0.12\", expect_size=\"47413248\"] \n  23 [size=\"139325440\", alpha=\"0.04\", expect_size=\"41797632\"] \n  23 -> 24 [size =\"41797632\"]\n  23 -> 25 [size =\"41797632\"]\n  24 [size=\"32303787\", alpha=\"0.13\", expect_size=\"9691136\"] \n  25 [size=\"125013333\", alpha=\"0.12\", expect_size=\"37504000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147828053\", alpha=\"0.03\", expect_size=\"44348416\"] \n  1 -> 3 [size =\"44348416\"]\n  2 [size=\"87872853\", alpha=\"0.06\", expect_size=\"26361856\"] \n  2 -> 3 [size =\"26361856\"]\n  3 [size=\"47759360\", alpha=\"0.14\", expect_size=\"14327808\"] \n  3 -> 4 [size =\"14327808\"]\n  4 [size=\"118951253\", alpha=\"0.09\", expect_size=\"35685376\"] \n  4 -> 5 [size =\"35685376\"]\n  5 [size=\"84193280\", alpha=\"0.01\", expect_size=\"25257984\"] \n  5 -> 6 [size =\"25257984\"]\n  6 [size=\"143039147\", alpha=\"0.07\", expect_size=\"42911744\"] \n  6 -> 7 [size =\"42911744\"]\n  7 [size=\"19978240\", alpha=\"0.00\", expect_size=\"5993472\"] \n  7 -> 8 [size =\"5993472\"]\n  7 -> 9 [size =\"5993472\"]\n  8 [size=\"108148053\", alpha=\"0.19\", expect_size=\"32444416\"] \n  8 -> 11 [size =\"32444416\"]\n  9 [size=\"51066880\", alpha=\"0.17\", expect_size=\"15320064\"] \n  9 -> 10 [size =\"15320064\"]\n  10 [size=\"19537920\", alpha=\"0.07\", expect_size=\"5861376\"] \n  10 -> 12 [size =\"5861376\"]\n  11 [size=\"148210347\", alpha=\"0.17\", expect_size=\"44463104\"] \n  11 -> 12 [size =\"44463104\"]\n  11 -> 13 [size =\"44463104\"]\n  12 [size=\"173380267\", alpha=\"0.05\", expect_size=\"52014080\"] \n  12 -> 14 [size =\"52014080\"]\n  12 -> 15 [size =\"52014080\"]\n  13 [size=\"61067947\", alpha=\"0.02\", expect_size=\"18320384\"] \n  13 -> 14 [size =\"18320384\"]\n  13 -> 15 [size =\"18320384\"]\n  14 [size=\"171864747\", alpha=\"0.13\", expect_size=\"51559424\"] \n  14 -> 16 [size =\"51559424\"]\n  14 -> 17 [size =\"51559424\"]\n  15 [size=\"83913387\", alpha=\"0.01\", expect_size=\"25174016\"] \n  15 -> 16 [size =\"25174016\"]\n  15 -> 17 [size =\"25174016\"]\n  16 [size=\"88398507\", alpha=\"0.11\", expect_size=\"26519552\"] \n  16 -> 18 [size =\"26519552\"]\n  17 [size=\"143837867\", alpha=\"0.02\", expect_size=\"43151360\"] \n  17 -> 18 [size =\"43151360\"]\n  18 [size=\"145619627\", alpha=\"0.11\", expect_size=\"43685888\"] \n  18 -> 19 [size =\"43685888\"]\n  18 -> 20 [size =\"43685888\"]\n  19 [size=\"136355840\", alpha=\"0.08\", expect_size=\"40906752\"] \n  19 -> 22 [size =\"40906752\"]\n  20 [size=\"115572053\", alpha=\"0.13\", expect_size=\"34671616\"] \n  20 -> 21 [size =\"34671616\"]\n  20 -> 22 [size =\"34671616\"]\n  21 [size=\"167297707\", alpha=\"0.14\", expect_size=\"50189312\"] \n  21 -> 23 [size =\"50189312\"]\n  22 [size=\"140400640\", alpha=\"0.05\", expect_size=\"42120192\"] \n  23 [size=\"23947947\", alpha=\"0.19\", expect_size=\"7184384\"] \n  23 -> 24 [size =\"7184384\"]\n  24 [size=\"42345813\", alpha=\"0.06\", expect_size=\"12703744\"] \n  24 -> 25 [size =\"12703744\"]\n  25 [size=\"147869013\", alpha=\"0.02\", expect_size=\"44360704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78520320\", alpha=\"0.12\", expect_size=\"23556096\"] \n  1 -> 3 [size =\"23556096\"]\n  2 [size=\"102638933\", alpha=\"0.09\", expect_size=\"30791680\"] \n  3 [size=\"146449067\", alpha=\"0.11\", expect_size=\"43934720\"] \n  3 -> 4 [size =\"43934720\"]\n  4 [size=\"166853973\", alpha=\"0.01\", expect_size=\"50056192\"] \n  4 -> 5 [size =\"50056192\"]\n  5 [size=\"115135147\", alpha=\"0.05\", expect_size=\"34540544\"] \n  5 -> 6 [size =\"34540544\"]\n  6 [size=\"153811627\", alpha=\"0.07\", expect_size=\"46143488\"] \n  6 -> 7 [size =\"46143488\"]\n  7 [size=\"67068587\", alpha=\"0.10\", expect_size=\"20120576\"] \n  7 -> 8 [size =\"20120576\"]\n  7 -> 9 [size =\"20120576\"]\n  8 [size=\"149377707\", alpha=\"0.13\", expect_size=\"44813312\"] \n  8 -> 10 [size =\"44813312\"]\n  9 [size=\"33481387\", alpha=\"0.11\", expect_size=\"10044416\"] \n  10 [size=\"90166613\", alpha=\"0.05\", expect_size=\"27049984\"] \n  10 -> 11 [size =\"27049984\"]\n  10 -> 12 [size =\"27049984\"]\n  11 [size=\"68614827\", alpha=\"0.15\", expect_size=\"20584448\"] \n  11 -> 14 [size =\"20584448\"]\n  12 [size=\"162829653\", alpha=\"0.19\", expect_size=\"48848896\"] \n  12 -> 13 [size =\"48848896\"]\n  13 [size=\"75168427\", alpha=\"0.02\", expect_size=\"22550528\"] \n  13 -> 15 [size =\"22550528\"]\n  14 [size=\"165423787\", alpha=\"0.04\", expect_size=\"49627136\"] \n  15 [size=\"17943893\", alpha=\"0.03\", expect_size=\"5383168\"] \n  15 -> 16 [size =\"5383168\"]\n  16 [size=\"59473920\", alpha=\"0.11\", expect_size=\"17842176\"] \n  16 -> 17 [size =\"17842176\"]\n  17 [size=\"114722133\", alpha=\"0.16\", expect_size=\"34416640\"] \n  17 -> 18 [size =\"34416640\"]\n  17 -> 19 [size =\"34416640\"]\n  18 [size=\"36618240\", alpha=\"0.14\", expect_size=\"10985472\"] \n  19 [size=\"140591787\", alpha=\"0.16\", expect_size=\"42177536\"] \n  19 -> 20 [size =\"42177536\"]\n  20 [size=\"72290987\", alpha=\"0.16\", expect_size=\"21687296\"] \n  20 -> 21 [size =\"21687296\"]\n  20 -> 22 [size =\"21687296\"]\n  21 [size=\"111400960\", alpha=\"0.03\", expect_size=\"33420288\"] \n  21 -> 24 [size =\"33420288\"]\n  22 [size=\"69553493\", alpha=\"0.02\", expect_size=\"20866048\"] \n  22 -> 23 [size =\"20866048\"]\n  23 [size=\"58074453\", alpha=\"0.16\", expect_size=\"17422336\"] \n  24 [size=\"72471893\", alpha=\"0.10\", expect_size=\"21741568\"] \n  24 -> 25 [size =\"21741568\"]\n  25 [size=\"106885120\", alpha=\"0.16\", expect_size=\"32065536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84354560\", alpha=\"0.08\", expect_size=\"33741824\"] \n  1 -> 10 [size =\"33741824\"]\n  1 -> 14 [size =\"33741824\"]\n  1 -> 15 [size =\"33741824\"]\n  2 [size=\"84170240\", alpha=\"0.13\", expect_size=\"33668096\"] \n  2 -> 10 [size =\"33668096\"]\n  2 -> 15 [size =\"33668096\"]\n  2 -> 17 [size =\"33668096\"]\n  3 [size=\"44710400\", alpha=\"0.02\", expect_size=\"17884160\"] \n  3 -> 11 [size =\"17884160\"]\n  3 -> 12 [size =\"17884160\"]\n  3 -> 16 [size =\"17884160\"]\n  4 [size=\"75788800\", alpha=\"0.17\", expect_size=\"30315520\"] \n  4 -> 13 [size =\"30315520\"]\n  4 -> 16 [size =\"30315520\"]\n  5 [size=\"48366080\", alpha=\"0.18\", expect_size=\"19346432\"] \n  5 -> 11 [size =\"19346432\"]\n  5 -> 13 [size =\"19346432\"]\n  5 -> 15 [size =\"19346432\"]\n  5 -> 16 [size =\"19346432\"]\n  6 [size=\"104238080\", alpha=\"0.15\", expect_size=\"41695232\"] \n  6 -> 13 [size =\"41695232\"]\n  6 -> 14 [size =\"41695232\"]\n  6 -> 15 [size =\"41695232\"]\n  6 -> 16 [size =\"41695232\"]\n  7 [size=\"30476800\", alpha=\"0.14\", expect_size=\"12190720\"] \n  7 -> 10 [size =\"12190720\"]\n  7 -> 14 [size =\"12190720\"]\n  7 -> 16 [size =\"12190720\"]\n  8 [size=\"104606720\", alpha=\"0.10\", expect_size=\"41842688\"] \n  8 -> 14 [size =\"41842688\"]\n  8 -> 15 [size =\"41842688\"]\n  8 -> 17 [size =\"41842688\"]\n  9 [size=\"111736320\", alpha=\"0.14\", expect_size=\"44694528\"] \n  9 -> 15 [size =\"44694528\"]\n  9 -> 17 [size =\"44694528\"]\n  10 [size=\"54028800\", alpha=\"0.14\", expect_size=\"21611520\"] \n  10 -> 20 [size =\"21611520\"]\n  11 [size=\"95244800\", alpha=\"0.13\", expect_size=\"38097920\"] \n  11 -> 24 [size =\"38097920\"]\n  12 [size=\"23045120\", alpha=\"0.18\", expect_size=\"9218048\"] \n  12 -> 19 [size =\"9218048\"]\n  12 -> 21 [size =\"9218048\"]\n  13 [size=\"97561600\", alpha=\"0.02\", expect_size=\"39024640\"] \n  13 -> 18 [size =\"39024640\"]\n  13 -> 20 [size =\"39024640\"]\n  14 [size=\"107448320\", alpha=\"0.12\", expect_size=\"42979328\"] \n  14 -> 25 [size =\"42979328\"]\n  15 [size=\"88563200\", alpha=\"0.03\", expect_size=\"35425280\"] \n  16 [size=\"75251200\", alpha=\"0.19\", expect_size=\"30100480\"] \n  16 -> 20 [size =\"30100480\"]\n  16 -> 23 [size =\"30100480\"]\n  17 [size=\"44426240\", alpha=\"0.01\", expect_size=\"17770496\"] \n  17 -> 20 [size =\"17770496\"]\n  17 -> 22 [size =\"17770496\"]\n  18 [size=\"124531200\", alpha=\"0.03\", expect_size=\"49812480\"] \n  19 [size=\"63974400\", alpha=\"0.09\", expect_size=\"25589760\"] \n  20 [size=\"26508800\", alpha=\"0.06\", expect_size=\"10603520\"] \n  21 [size=\"110174720\", alpha=\"0.15\", expect_size=\"44069888\"] \n  22 [size=\"70469120\", alpha=\"0.16\", expect_size=\"28187648\"] \n  23 [size=\"59205120\", alpha=\"0.02\", expect_size=\"23682048\"] \n  24 [size=\"68633600\", alpha=\"0.18\", expect_size=\"27453440\"] \n  25 [size=\"19911680\", alpha=\"0.01\", expect_size=\"7964672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41991680\", alpha=\"0.07\", expect_size=\"16796672\"] \n  1 -> 20 [size =\"16796672\"]\n  2 [size=\"51468800\", alpha=\"0.05\", expect_size=\"20587520\"] \n  2 -> 11 [size =\"20587520\"]\n  2 -> 14 [size =\"20587520\"]\n  2 -> 20 [size =\"20587520\"]\n  3 [size=\"64778240\", alpha=\"0.18\", expect_size=\"25911296\"] \n  3 -> 11 [size =\"25911296\"]\n  3 -> 12 [size =\"25911296\"]\n  3 -> 14 [size =\"25911296\"]\n  3 -> 18 [size =\"25911296\"]\n  3 -> 19 [size =\"25911296\"]\n  3 -> 20 [size =\"25911296\"]\n  4 [size=\"111585280\", alpha=\"0.16\", expect_size=\"44634112\"] \n  4 -> 12 [size =\"44634112\"]\n  4 -> 15 [size =\"44634112\"]\n  4 -> 19 [size =\"44634112\"]\n  5 [size=\"38947840\", alpha=\"0.08\", expect_size=\"15579136\"] \n  5 -> 19 [size =\"15579136\"]\n  5 -> 20 [size =\"15579136\"]\n  6 [size=\"31984640\", alpha=\"0.08\", expect_size=\"12793856\"] \n  6 -> 16 [size =\"12793856\"]\n  6 -> 17 [size =\"12793856\"]\n  6 -> 18 [size =\"12793856\"]\n  7 [size=\"102400000\", alpha=\"0.08\", expect_size=\"40960000\"] \n  7 -> 11 [size =\"40960000\"]\n  7 -> 13 [size =\"40960000\"]\n  7 -> 16 [size =\"40960000\"]\n  8 [size=\"40980480\", alpha=\"0.18\", expect_size=\"16392192\"] \n  8 -> 11 [size =\"16392192\"]\n  8 -> 12 [size =\"16392192\"]\n  9 [size=\"40089600\", alpha=\"0.06\", expect_size=\"16035840\"] \n  9 -> 11 [size =\"16035840\"]\n  9 -> 12 [size =\"16035840\"]\n  9 -> 13 [size =\"16035840\"]\n  9 -> 17 [size =\"16035840\"]\n  10 [size=\"81628160\", alpha=\"0.03\", expect_size=\"32651264\"] \n  10 -> 12 [size =\"32651264\"]\n  10 -> 15 [size =\"32651264\"]\n  10 -> 17 [size =\"32651264\"]\n  10 -> 20 [size =\"32651264\"]\n  11 [size=\"76321280\", alpha=\"0.10\", expect_size=\"30528512\"] \n  11 -> 23 [size =\"30528512\"]\n  11 -> 25 [size =\"30528512\"]\n  12 [size=\"115251200\", alpha=\"0.17\", expect_size=\"46100480\"] \n  12 -> 23 [size =\"46100480\"]\n  13 [size=\"25984000\", alpha=\"0.10\", expect_size=\"10393600\"] \n  13 -> 22 [size =\"10393600\"]\n  14 [size=\"15185920\", alpha=\"0.13\", expect_size=\"6074368\"] \n  14 -> 21 [size =\"6074368\"]\n  14 -> 23 [size =\"6074368\"]\n  14 -> 25 [size =\"6074368\"]\n  15 [size=\"112419840\", alpha=\"0.01\", expect_size=\"44967936\"] \n  15 -> 21 [size =\"44967936\"]\n  15 -> 25 [size =\"44967936\"]\n  16 [size=\"43676160\", alpha=\"0.04\", expect_size=\"17470464\"] \n  16 -> 24 [size =\"17470464\"]\n  17 [size=\"89146880\", alpha=\"0.14\", expect_size=\"35658752\"] \n  17 -> 22 [size =\"35658752\"]\n  17 -> 24 [size =\"35658752\"]\n  17 -> 25 [size =\"35658752\"]\n  18 [size=\"21194240\", alpha=\"0.05\", expect_size=\"8477696\"] \n  18 -> 23 [size =\"8477696\"]\n  18 -> 25 [size =\"8477696\"]\n  19 [size=\"128499200\", alpha=\"0.15\", expect_size=\"51399680\"] \n  19 -> 22 [size =\"51399680\"]\n  19 -> 23 [size =\"51399680\"]\n  19 -> 24 [size =\"51399680\"]\n  20 [size=\"47628800\", alpha=\"0.00\", expect_size=\"19051520\"] \n  21 [size=\"67517440\", alpha=\"0.10\", expect_size=\"27006976\"] \n  22 [size=\"125578240\", alpha=\"0.06\", expect_size=\"50231296\"] \n  23 [size=\"104936960\", alpha=\"0.11\", expect_size=\"41974784\"] \n  24 [size=\"48471040\", alpha=\"0.13\", expect_size=\"19388416\"] \n  25 [size=\"123294720\", alpha=\"0.19\", expect_size=\"49317888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61505536\", alpha=\"0.02\", expect_size=\"30752768\"] \n  1 -> 2 [size =\"30752768\"]\n  2 [size=\"27746304\", alpha=\"0.16\", expect_size=\"13873152\"] \n  2 -> 3 [size =\"13873152\"]\n  3 [size=\"23451648\", alpha=\"0.17\", expect_size=\"11725824\"] \n  3 -> 4 [size =\"11725824\"]\n  4 [size=\"12544000\", alpha=\"0.03\", expect_size=\"6272000\"] \n  4 -> 5 [size =\"6272000\"]\n  5 [size=\"16920576\", alpha=\"0.10\", expect_size=\"8460288\"] \n  5 -> 6 [size =\"8460288\"]\n  6 [size=\"74133504\", alpha=\"0.04\", expect_size=\"37066752\"] \n  6 -> 7 [size =\"37066752\"]\n  7 [size=\"86964224\", alpha=\"0.10\", expect_size=\"43482112\"] \n  7 -> 8 [size =\"43482112\"]\n  8 [size=\"99835904\", alpha=\"0.09\", expect_size=\"49917952\"] \n  8 -> 9 [size =\"49917952\"]\n  9 [size=\"56801280\", alpha=\"0.20\", expect_size=\"28400640\"] \n  9 -> 10 [size =\"28400640\"]\n  10 [size=\"43800576\", alpha=\"0.03\", expect_size=\"21900288\"] \n  10 -> 11 [size =\"21900288\"]\n  11 [size=\"14678016\", alpha=\"0.09\", expect_size=\"7339008\"] \n  11 -> 12 [size =\"7339008\"]\n  12 [size=\"25481216\", alpha=\"0.08\", expect_size=\"12740608\"] \n  12 -> 13 [size =\"12740608\"]\n  13 [size=\"101558272\", alpha=\"0.10\", expect_size=\"50779136\"] \n  13 -> 14 [size =\"50779136\"]\n  14 [size=\"88772608\", alpha=\"0.06\", expect_size=\"44386304\"] \n  14 -> 15 [size =\"44386304\"]\n  15 [size=\"101402624\", alpha=\"0.01\", expect_size=\"50701312\"] \n  15 -> 16 [size =\"50701312\"]\n  16 [size=\"52822016\", alpha=\"0.19\", expect_size=\"26411008\"] \n  16 -> 17 [size =\"26411008\"]\n  17 [size=\"73021440\", alpha=\"0.02\", expect_size=\"36510720\"] \n  17 -> 18 [size =\"36510720\"]\n  18 [size=\"27482112\", alpha=\"0.11\", expect_size=\"13741056\"] \n  18 -> 19 [size =\"13741056\"]\n  19 [size=\"70742016\", alpha=\"0.19\", expect_size=\"35371008\"] \n  19 -> 20 [size =\"35371008\"]\n  20 [size=\"69126144\", alpha=\"0.04\", expect_size=\"34563072\"] \n  20 -> 21 [size =\"34563072\"]\n  21 [size=\"82571264\", alpha=\"0.01\", expect_size=\"41285632\"] \n  21 -> 22 [size =\"41285632\"]\n  22 [size=\"31975424\", alpha=\"0.01\", expect_size=\"15987712\"] \n  22 -> 23 [size =\"15987712\"]\n  23 [size=\"69447680\", alpha=\"0.04\", expect_size=\"34723840\"] \n  23 -> 24 [size =\"34723840\"]\n  24 [size=\"23128064\", alpha=\"0.08\", expect_size=\"11564032\"] \n  24 -> 25 [size =\"11564032\"]\n  25 [size=\"52520960\", alpha=\"0.12\", expect_size=\"26260480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99829760\", alpha=\"0.04\", expect_size=\"29948928\"] \n  1 -> 8 [size =\"29948928\"]\n  1 -> 9 [size =\"29948928\"]\n  1 -> 10 [size =\"29948928\"]\n  1 -> 11 [size =\"29948928\"]\n  1 -> 12 [size =\"29948928\"]\n  1 -> 14 [size =\"29948928\"]\n  1 -> 15 [size =\"29948928\"]\n  2 [size=\"59528533\", alpha=\"0.09\", expect_size=\"17858560\"] \n  2 -> 8 [size =\"17858560\"]\n  2 -> 9 [size =\"17858560\"]\n  2 -> 10 [size =\"17858560\"]\n  2 -> 11 [size =\"17858560\"]\n  2 -> 12 [size =\"17858560\"]\n  2 -> 13 [size =\"17858560\"]\n  2 -> 14 [size =\"17858560\"]\n  2 -> 15 [size =\"17858560\"]\n  3 [size=\"60661760\", alpha=\"0.01\", expect_size=\"18198528\"] \n  3 -> 8 [size =\"18198528\"]\n  3 -> 10 [size =\"18198528\"]\n  3 -> 10 [size =\"18198528\"]\n  3 -> 11 [size =\"18198528\"]\n  3 -> 12 [size =\"18198528\"]\n  3 -> 14 [size =\"18198528\"]\n  3 -> 14 [size =\"18198528\"]\n  3 -> 15 [size =\"18198528\"]\n  4 [size=\"86316373\", alpha=\"0.16\", expect_size=\"25894912\"] \n  4 -> 8 [size =\"25894912\"]\n  4 -> 12 [size =\"25894912\"]\n  4 -> 13 [size =\"25894912\"]\n  5 [size=\"26115413\", alpha=\"0.19\", expect_size=\"7834624\"] \n  5 -> 7 [size =\"7834624\"]\n  5 -> 8 [size =\"7834624\"]\n  5 -> 10 [size =\"7834624\"]\n  5 -> 11 [size =\"7834624\"]\n  5 -> 12 [size =\"7834624\"]\n  5 -> 14 [size =\"7834624\"]\n  5 -> 15 [size =\"7834624\"]\n  6 [size=\"85111467\", alpha=\"0.13\", expect_size=\"25533440\"] \n  6 -> 10 [size =\"25533440\"]\n  6 -> 11 [size =\"25533440\"]\n  6 -> 12 [size =\"25533440\"]\n  7 [size=\"170147840\", alpha=\"0.18\", expect_size=\"51044352\"] \n  7 -> 18 [size =\"51044352\"]\n  7 -> 19 [size =\"51044352\"]\n  7 -> 20 [size =\"51044352\"]\n  7 -> 21 [size =\"51044352\"]\n  7 -> 22 [size =\"51044352\"]\n  7 -> 24 [size =\"51044352\"]\n  8 [size=\"41229653\", alpha=\"0.05\", expect_size=\"12368896\"] \n  8 -> 19 [size =\"12368896\"]\n  8 -> 19 [size =\"12368896\"]\n  8 -> 20 [size =\"12368896\"]\n  8 -> 21 [size =\"12368896\"]\n  8 -> 22 [size =\"12368896\"]\n  8 -> 24 [size =\"12368896\"]\n  9 [size=\"18490027\", alpha=\"0.11\", expect_size=\"5547008\"] \n  9 -> 19 [size =\"5547008\"]\n  9 -> 20 [size =\"5547008\"]\n  9 -> 20 [size =\"5547008\"]\n  9 -> 21 [size =\"5547008\"]\n  9 -> 22 [size =\"5547008\"]\n  9 -> 25 [size =\"5547008\"]\n  10 [size=\"23732907\", alpha=\"0.01\", expect_size=\"7119872\"] \n  10 -> 17 [size =\"7119872\"]\n  10 -> 20 [size =\"7119872\"]\n  10 -> 21 [size =\"7119872\"]\n  10 -> 22 [size =\"7119872\"]\n  10 -> 25 [size =\"7119872\"]\n  11 [size=\"128218453\", alpha=\"0.12\", expect_size=\"38465536\"] \n  11 -> 16 [size =\"38465536\"]\n  11 -> 17 [size =\"38465536\"]\n  11 -> 19 [size =\"38465536\"]\n  11 -> 20 [size =\"38465536\"]\n  11 -> 21 [size =\"38465536\"]\n  11 -> 22 [size =\"38465536\"]\n  11 -> 24 [size =\"38465536\"]\n  12 [size=\"161512107\", alpha=\"0.13\", expect_size=\"48453632\"] \n  12 -> 18 [size =\"48453632\"]\n  12 -> 19 [size =\"48453632\"]\n  12 -> 21 [size =\"48453632\"]\n  12 -> 22 [size =\"48453632\"]\n  12 -> 24 [size =\"48453632\"]\n  13 [size=\"77069653\", alpha=\"0.07\", expect_size=\"23120896\"] \n  13 -> 19 [size =\"23120896\"]\n  13 -> 20 [size =\"23120896\"]\n  13 -> 21 [size =\"23120896\"]\n  13 -> 23 [size =\"23120896\"]\n  13 -> 24 [size =\"23120896\"]\n  13 -> 25 [size =\"23120896\"]\n  14 [size=\"85466453\", alpha=\"0.13\", expect_size=\"25639936\"] \n  14 -> 19 [size =\"25639936\"]\n  14 -> 20 [size =\"25639936\"]\n  14 -> 22 [size =\"25639936\"]\n  14 -> 24 [size =\"25639936\"]\n  14 -> 25 [size =\"25639936\"]\n  15 [size=\"52015787\", alpha=\"0.06\", expect_size=\"15604736\"] \n  15 -> 19 [size =\"15604736\"]\n  15 -> 20 [size =\"15604736\"]\n  15 -> 21 [size =\"15604736\"]\n  15 -> 22 [size =\"15604736\"]\n  15 -> 24 [size =\"15604736\"]\n  15 -> 25 [size =\"15604736\"]\n  16 [size=\"47305387\", alpha=\"0.12\", expect_size=\"14191616\"] \n  17 [size=\"152616960\", alpha=\"0.18\", expect_size=\"45785088\"] \n  18 [size=\"137157973\", alpha=\"0.08\", expect_size=\"41147392\"] \n  19 [size=\"17667413\", alpha=\"0.05\", expect_size=\"5300224\"] \n  20 [size=\"105642667\", alpha=\"0.06\", expect_size=\"31692800\"] \n  21 [size=\"115595947\", alpha=\"0.17\", expect_size=\"34678784\"] \n  22 [size=\"55828480\", alpha=\"0.13\", expect_size=\"16748544\"] \n  23 [size=\"154811733\", alpha=\"0.15\", expect_size=\"46443520\"] \n  24 [size=\"54033067\", alpha=\"0.06\", expect_size=\"16209920\"] \n  25 [size=\"160098987\", alpha=\"0.18\", expect_size=\"48029696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130885120\", alpha=\"0.12\", expect_size=\"52354048\"] \n  1 -> 2 [size =\"52354048\"]\n  1 -> 3 [size =\"52354048\"]\n  2 [size=\"50196480\", alpha=\"0.04\", expect_size=\"20078592\"] \n  3 [size=\"30159360\", alpha=\"0.09\", expect_size=\"12063744\"] \n  3 -> 4 [size =\"12063744\"]\n  4 [size=\"32107520\", alpha=\"0.01\", expect_size=\"12843008\"] \n  4 -> 5 [size =\"12843008\"]\n  4 -> 6 [size =\"12843008\"]\n  5 [size=\"94405120\", alpha=\"0.09\", expect_size=\"37762048\"] \n  5 -> 7 [size =\"37762048\"]\n  6 [size=\"74501120\", alpha=\"0.02\", expect_size=\"29800448\"] \n  7 [size=\"124789760\", alpha=\"0.12\", expect_size=\"49915904\"] \n  7 -> 8 [size =\"49915904\"]\n  7 -> 9 [size =\"49915904\"]\n  8 [size=\"77765120\", alpha=\"0.01\", expect_size=\"31106048\"] \n  9 [size=\"48435200\", alpha=\"0.06\", expect_size=\"19374080\"] \n  9 -> 10 [size =\"19374080\"]\n  10 [size=\"39203840\", alpha=\"0.05\", expect_size=\"15681536\"] \n  10 -> 11 [size =\"15681536\"]\n  10 -> 12 [size =\"15681536\"]\n  11 [size=\"39034880\", alpha=\"0.02\", expect_size=\"15613952\"] \n  11 -> 13 [size =\"15613952\"]\n  12 [size=\"110254080\", alpha=\"0.13\", expect_size=\"44101632\"] \n  13 [size=\"18447360\", alpha=\"0.15\", expect_size=\"7378944\"] \n  13 -> 14 [size =\"7378944\"]\n  14 [size=\"72542720\", alpha=\"0.13\", expect_size=\"29017088\"] \n  14 -> 15 [size =\"29017088\"]\n  14 -> 16 [size =\"29017088\"]\n  15 [size=\"78904320\", alpha=\"0.09\", expect_size=\"31561728\"] \n  15 -> 17 [size =\"31561728\"]\n  15 -> 18 [size =\"31561728\"]\n  16 [size=\"131056640\", alpha=\"0.10\", expect_size=\"52422656\"] \n  17 [size=\"25728000\", alpha=\"0.03\", expect_size=\"10291200\"] \n  18 [size=\"96248320\", alpha=\"0.19\", expect_size=\"38499328\"] \n  18 -> 19 [size =\"38499328\"]\n  19 [size=\"101324800\", alpha=\"0.12\", expect_size=\"40529920\"] \n  19 -> 20 [size =\"40529920\"]\n  19 -> 21 [size =\"40529920\"]\n  20 [size=\"16931840\", alpha=\"0.10\", expect_size=\"6772736\"] \n  20 -> 22 [size =\"6772736\"]\n  21 [size=\"47603200\", alpha=\"0.08\", expect_size=\"19041280\"] \n  22 [size=\"56762880\", alpha=\"0.13\", expect_size=\"22705152\"] \n  22 -> 23 [size =\"22705152\"]\n  22 -> 24 [size =\"22705152\"]\n  23 [size=\"16404480\", alpha=\"0.00\", expect_size=\"6561792\"] \n  24 [size=\"107120640\", alpha=\"0.11\", expect_size=\"42848256\"] \n  24 -> 25 [size =\"42848256\"]\n  25 [size=\"67852800\", alpha=\"0.15\", expect_size=\"27141120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155501227\", alpha=\"0.06\", expect_size=\"46650368\"] \n  1 -> 22 [size =\"46650368\"]\n  1 -> 23 [size =\"46650368\"]\n  2 [size=\"111547733\", alpha=\"0.04\", expect_size=\"33464320\"] \n  2 -> 24 [size =\"33464320\"]\n  2 -> 25 [size =\"33464320\"]\n  3 [size=\"47182507\", alpha=\"0.05\", expect_size=\"14154752\"] \n  3 -> 24 [size =\"14154752\"]\n  4 [size=\"49800533\", alpha=\"0.01\", expect_size=\"14940160\"] \n  4 -> 19 [size =\"14940160\"]\n  4 -> 21 [size =\"14940160\"]\n  4 -> 24 [size =\"14940160\"]\n  5 [size=\"58251947\", alpha=\"0.07\", expect_size=\"17475584\"] \n  5 -> 19 [size =\"17475584\"]\n  5 -> 21 [size =\"17475584\"]\n  6 [size=\"101440853\", alpha=\"0.09\", expect_size=\"30432256\"] \n  6 -> 21 [size =\"30432256\"]\n  6 -> 22 [size =\"30432256\"]\n  7 [size=\"169594880\", alpha=\"0.13\", expect_size=\"50878464\"] \n  7 -> 23 [size =\"50878464\"]\n  8 [size=\"158433280\", alpha=\"0.09\", expect_size=\"47529984\"] \n  8 -> 22 [size =\"47529984\"]\n  8 -> 23 [size =\"47529984\"]\n  9 [size=\"110520320\", alpha=\"0.05\", expect_size=\"33156096\"] \n  9 -> 19 [size =\"33156096\"]\n  9 -> 23 [size =\"33156096\"]\n  9 -> 24 [size =\"33156096\"]\n  10 [size=\"147964587\", alpha=\"0.17\", expect_size=\"44389376\"] \n  10 -> 21 [size =\"44389376\"]\n  10 -> 22 [size =\"44389376\"]\n  10 -> 23 [size =\"44389376\"]\n  10 -> 24 [size =\"44389376\"]\n  11 [size=\"94423040\", alpha=\"0.13\", expect_size=\"28326912\"] \n  11 -> 21 [size =\"28326912\"]\n  11 -> 24 [size =\"28326912\"]\n  12 [size=\"141124267\", alpha=\"0.18\", expect_size=\"42337280\"] \n  12 -> 21 [size =\"42337280\"]\n  12 -> 22 [size =\"42337280\"]\n  12 -> 23 [size =\"42337280\"]\n  13 [size=\"171711147\", alpha=\"0.00\", expect_size=\"51513344\"] \n  13 -> 25 [size =\"51513344\"]\n  14 [size=\"57507840\", alpha=\"0.11\", expect_size=\"17252352\"] \n  14 -> 19 [size =\"17252352\"]\n  14 -> 20 [size =\"17252352\"]\n  15 [size=\"62170453\", alpha=\"0.19\", expect_size=\"18651136\"] \n  15 -> 20 [size =\"18651136\"]\n  16 [size=\"119903573\", alpha=\"0.03\", expect_size=\"35971072\"] \n  16 -> 20 [size =\"35971072\"]\n  17 [size=\"30842880\", alpha=\"0.07\", expect_size=\"9252864\"] \n  17 -> 20 [size =\"9252864\"]\n  17 -> 23 [size =\"9252864\"]\n  17 -> 24 [size =\"9252864\"]\n  17 -> 25 [size =\"9252864\"]\n  18 [size=\"130740907\", alpha=\"0.09\", expect_size=\"39222272\"] \n  18 -> 23 [size =\"39222272\"]\n  18 -> 24 [size =\"39222272\"]\n  19 [size=\"40546987\", alpha=\"0.05\", expect_size=\"12164096\"] \n  20 [size=\"79933440\", alpha=\"0.05\", expect_size=\"23980032\"] \n  21 [size=\"57555627\", alpha=\"0.03\", expect_size=\"17266688\"] \n  22 [size=\"162290347\", alpha=\"0.13\", expect_size=\"48687104\"] \n  23 [size=\"143762773\", alpha=\"0.07\", expect_size=\"43128832\"] \n  24 [size=\"143936853\", alpha=\"0.05\", expect_size=\"43181056\"] \n  25 [size=\"73250133\", alpha=\"0.08\", expect_size=\"21975040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52715520\", alpha=\"0.01\", expect_size=\"26357760\"] \n  1 -> 10 [size =\"26357760\"]\n  1 -> 16 [size =\"26357760\"]\n  2 [size=\"98940928\", alpha=\"0.16\", expect_size=\"49470464\"] \n  2 -> 10 [size =\"49470464\"]\n  2 -> 11 [size =\"49470464\"]\n  2 -> 12 [size =\"49470464\"]\n  2 -> 13 [size =\"49470464\"]\n  2 -> 17 [size =\"49470464\"]\n  3 [size=\"37586944\", alpha=\"0.11\", expect_size=\"18793472\"] \n  3 -> 10 [size =\"18793472\"]\n  3 -> 11 [size =\"18793472\"]\n  3 -> 12 [size =\"18793472\"]\n  4 [size=\"90796032\", alpha=\"0.15\", expect_size=\"45398016\"] \n  4 -> 11 [size =\"45398016\"]\n  4 -> 12 [size =\"45398016\"]\n  5 [size=\"87810048\", alpha=\"0.01\", expect_size=\"43905024\"] \n  5 -> 10 [size =\"43905024\"]\n  5 -> 11 [size =\"43905024\"]\n  6 [size=\"19695616\", alpha=\"0.12\", expect_size=\"9847808\"] \n  6 -> 10 [size =\"9847808\"]\n  6 -> 14 [size =\"9847808\"]\n  6 -> 17 [size =\"9847808\"]\n  7 [size=\"86573056\", alpha=\"0.03\", expect_size=\"43286528\"] \n  7 -> 10 [size =\"43286528\"]\n  7 -> 12 [size =\"43286528\"]\n  7 -> 14 [size =\"43286528\"]\n  7 -> 16 [size =\"43286528\"]\n  8 [size=\"61552640\", alpha=\"0.00\", expect_size=\"30776320\"] \n  8 -> 12 [size =\"30776320\"]\n  8 -> 13 [size =\"30776320\"]\n  8 -> 14 [size =\"30776320\"]\n  8 -> 15 [size =\"30776320\"]\n  8 -> 16 [size =\"30776320\"]\n  9 [size=\"76050432\", alpha=\"0.19\", expect_size=\"38025216\"] \n  9 -> 11 [size =\"38025216\"]\n  9 -> 16 [size =\"38025216\"]\n  9 -> 17 [size =\"38025216\"]\n  10 [size=\"81690624\", alpha=\"0.09\", expect_size=\"40845312\"] \n  10 -> 18 [size =\"40845312\"]\n  10 -> 19 [size =\"40845312\"]\n  10 -> 22 [size =\"40845312\"]\n  10 -> 23 [size =\"40845312\"]\n  10 -> 25 [size =\"40845312\"]\n  11 [size=\"32999424\", alpha=\"0.12\", expect_size=\"16499712\"] \n  11 -> 18 [size =\"16499712\"]\n  11 -> 19 [size =\"16499712\"]\n  11 -> 21 [size =\"16499712\"]\n  12 [size=\"36900864\", alpha=\"0.08\", expect_size=\"18450432\"] \n  12 -> 20 [size =\"18450432\"]\n  12 -> 24 [size =\"18450432\"]\n  13 [size=\"18204672\", alpha=\"0.04\", expect_size=\"9102336\"] \n  13 -> 18 [size =\"9102336\"]\n  13 -> 19 [size =\"9102336\"]\n  14 [size=\"68399104\", alpha=\"0.17\", expect_size=\"34199552\"] \n  14 -> 19 [size =\"34199552\"]\n  14 -> 20 [size =\"34199552\"]\n  14 -> 22 [size =\"34199552\"]\n  14 -> 23 [size =\"34199552\"]\n  15 [size=\"44392448\", alpha=\"0.11\", expect_size=\"22196224\"] \n  15 -> 18 [size =\"22196224\"]\n  15 -> 19 [size =\"22196224\"]\n  15 -> 20 [size =\"22196224\"]\n  16 [size=\"50640896\", alpha=\"0.06\", expect_size=\"25320448\"] \n  16 -> 22 [size =\"25320448\"]\n  16 -> 23 [size =\"25320448\"]\n  16 -> 25 [size =\"25320448\"]\n  17 [size=\"14444544\", alpha=\"0.17\", expect_size=\"7222272\"] \n  17 -> 18 [size =\"7222272\"]\n  17 -> 25 [size =\"7222272\"]\n  18 [size=\"28016640\", alpha=\"0.05\", expect_size=\"14008320\"] \n  19 [size=\"29652992\", alpha=\"0.04\", expect_size=\"14826496\"] \n  20 [size=\"26296320\", alpha=\"0.19\", expect_size=\"13148160\"] \n  21 [size=\"68864000\", alpha=\"0.03\", expect_size=\"34432000\"] \n  22 [size=\"32710656\", alpha=\"0.06\", expect_size=\"16355328\"] \n  23 [size=\"70666240\", alpha=\"0.14\", expect_size=\"35333120\"] \n  24 [size=\"89137152\", alpha=\"0.20\", expect_size=\"44568576\"] \n  25 [size=\"73039872\", alpha=\"0.02\", expect_size=\"36519936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42526720\", alpha=\"0.08\", expect_size=\"12758016\"] \n  1 -> 5 [size =\"12758016\"]\n  1 -> 7 [size =\"12758016\"]\n  1 -> 8 [size =\"12758016\"]\n  1 -> 9 [size =\"12758016\"]\n  2 [size=\"167915520\", alpha=\"0.17\", expect_size=\"50374656\"] \n  2 -> 5 [size =\"50374656\"]\n  2 -> 6 [size =\"50374656\"]\n  2 -> 7 [size =\"50374656\"]\n  3 [size=\"120282453\", alpha=\"0.15\", expect_size=\"36084736\"] \n  3 -> 7 [size =\"36084736\"]\n  3 -> 8 [size =\"36084736\"]\n  4 [size=\"133662720\", alpha=\"0.02\", expect_size=\"40098816\"] \n  4 -> 5 [size =\"40098816\"]\n  5 [size=\"172284587\", alpha=\"0.05\", expect_size=\"51685376\"] \n  5 -> 13 [size =\"51685376\"]\n  6 [size=\"82766507\", alpha=\"0.18\", expect_size=\"24829952\"] \n  6 -> 12 [size =\"24829952\"]\n  7 [size=\"96259413\", alpha=\"0.09\", expect_size=\"28877824\"] \n  7 -> 10 [size =\"28877824\"]\n  7 -> 11 [size =\"28877824\"]\n  7 -> 13 [size =\"28877824\"]\n  8 [size=\"109728427\", alpha=\"0.12\", expect_size=\"32918528\"] \n  9 [size=\"172796587\", alpha=\"0.08\", expect_size=\"51838976\"] \n  9 -> 10 [size =\"51838976\"]\n  9 -> 13 [size =\"51838976\"]\n  10 [size=\"108229973\", alpha=\"0.19\", expect_size=\"32468992\"] \n  10 -> 15 [size =\"32468992\"]\n  10 -> 16 [size =\"32468992\"]\n  10 -> 17 [size =\"32468992\"]\n  11 [size=\"105577813\", alpha=\"0.16\", expect_size=\"31673344\"] \n  11 -> 16 [size =\"31673344\"]\n  11 -> 17 [size =\"31673344\"]\n  12 [size=\"170543787\", alpha=\"0.03\", expect_size=\"51163136\"] \n  12 -> 14 [size =\"51163136\"]\n  12 -> 15 [size =\"51163136\"]\n  12 -> 16 [size =\"51163136\"]\n  12 -> 17 [size =\"51163136\"]\n  13 [size=\"147872427\", alpha=\"0.07\", expect_size=\"44361728\"] \n  13 -> 15 [size =\"44361728\"]\n  14 [size=\"105250133\", alpha=\"0.19\", expect_size=\"31575040\"] \n  14 -> 19 [size =\"31575040\"]\n  15 [size=\"120180053\", alpha=\"0.01\", expect_size=\"36054016\"] \n  15 -> 21 [size =\"36054016\"]\n  16 [size=\"161286827\", alpha=\"0.10\", expect_size=\"48386048\"] \n  16 -> 18 [size =\"48386048\"]\n  16 -> 19 [size =\"48386048\"]\n  16 -> 20 [size =\"48386048\"]\n  16 -> 21 [size =\"48386048\"]\n  17 [size=\"143383893\", alpha=\"0.16\", expect_size=\"43015168\"] \n  17 -> 19 [size =\"43015168\"]\n  17 -> 20 [size =\"43015168\"]\n  17 -> 21 [size =\"43015168\"]\n  18 [size=\"54818133\", alpha=\"0.09\", expect_size=\"16445440\"] \n  18 -> 22 [size =\"16445440\"]\n  18 -> 24 [size =\"16445440\"]\n  18 -> 25 [size =\"16445440\"]\n  19 [size=\"147940693\", alpha=\"0.12\", expect_size=\"44382208\"] \n  19 -> 22 [size =\"44382208\"]\n  20 [size=\"54302720\", alpha=\"0.07\", expect_size=\"16290816\"] \n  20 -> 23 [size =\"16290816\"]\n  20 -> 24 [size =\"16290816\"]\n  21 [size=\"44608853\", alpha=\"0.05\", expect_size=\"13382656\"] \n  21 -> 22 [size =\"13382656\"]\n  21 -> 23 [size =\"13382656\"]\n  21 -> 24 [size =\"13382656\"]\n  22 [size=\"172554240\", alpha=\"0.02\", expect_size=\"51766272\"] \n  23 [size=\"35017387\", alpha=\"0.13\", expect_size=\"10505216\"] \n  24 [size=\"92020053\", alpha=\"0.18\", expect_size=\"27606016\"] \n  25 [size=\"85046613\", alpha=\"0.02\", expect_size=\"25513984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105971200\", alpha=\"0.18\", expect_size=\"42388480\"] \n  1 -> 3 [size =\"42388480\"]\n  2 [size=\"104816640\", alpha=\"0.15\", expect_size=\"41926656\"] \n  3 [size=\"64250880\", alpha=\"0.00\", expect_size=\"25700352\"] \n  3 -> 4 [size =\"25700352\"]\n  3 -> 5 [size =\"25700352\"]\n  4 [size=\"93795840\", alpha=\"0.04\", expect_size=\"37518336\"] \n  5 [size=\"69734400\", alpha=\"0.15\", expect_size=\"27893760\"] \n  5 -> 6 [size =\"27893760\"]\n  6 [size=\"120801280\", alpha=\"0.02\", expect_size=\"48320512\"] \n  6 -> 7 [size =\"48320512\"]\n  6 -> 8 [size =\"48320512\"]\n  7 [size=\"36275200\", alpha=\"0.19\", expect_size=\"14510080\"] \n  8 [size=\"97006080\", alpha=\"0.20\", expect_size=\"38802432\"] \n  8 -> 9 [size =\"38802432\"]\n  9 [size=\"113034240\", alpha=\"0.08\", expect_size=\"45213696\"] \n  9 -> 10 [size =\"45213696\"]\n  10 [size=\"49305600\", alpha=\"0.13\", expect_size=\"19722240\"] \n  10 -> 11 [size =\"19722240\"]\n  11 [size=\"125396480\", alpha=\"0.10\", expect_size=\"50158592\"] \n  11 -> 12 [size =\"50158592\"]\n  11 -> 13 [size =\"50158592\"]\n  12 [size=\"112273920\", alpha=\"0.14\", expect_size=\"44909568\"] \n  12 -> 14 [size =\"44909568\"]\n  13 [size=\"80343040\", alpha=\"0.17\", expect_size=\"32137216\"] \n  13 -> 15 [size =\"32137216\"]\n  14 [size=\"82173440\", alpha=\"0.13\", expect_size=\"32869376\"] \n  15 [size=\"103941120\", alpha=\"0.13\", expect_size=\"41576448\"] \n  15 -> 16 [size =\"41576448\"]\n  16 [size=\"71659520\", alpha=\"0.06\", expect_size=\"28663808\"] \n  16 -> 17 [size =\"28663808\"]\n  17 [size=\"83082240\", alpha=\"0.03\", expect_size=\"33232896\"] \n  17 -> 18 [size =\"33232896\"]\n  18 [size=\"79114240\", alpha=\"0.05\", expect_size=\"31645696\"] \n  18 -> 19 [size =\"31645696\"]\n  19 [size=\"77537280\", alpha=\"0.15\", expect_size=\"31014912\"] \n  19 -> 20 [size =\"31014912\"]\n  20 [size=\"123325440\", alpha=\"0.09\", expect_size=\"49330176\"] \n  20 -> 21 [size =\"49330176\"]\n  21 [size=\"83499520\", alpha=\"0.19\", expect_size=\"33399808\"] \n  21 -> 22 [size =\"33399808\"]\n  22 [size=\"24273920\", alpha=\"0.05\", expect_size=\"9709568\"] \n  22 -> 23 [size =\"9709568\"]\n  23 [size=\"108915200\", alpha=\"0.19\", expect_size=\"43566080\"] \n  23 -> 24 [size =\"43566080\"]\n  23 -> 25 [size =\"43566080\"]\n  24 [size=\"88555520\", alpha=\"0.07\", expect_size=\"35422208\"] \n  25 [size=\"46062080\", alpha=\"0.04\", expect_size=\"18424832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143373653\", alpha=\"0.09\", expect_size=\"43012096\"] \n  1 -> 2 [size =\"43012096\"]\n  2 [size=\"143732053\", alpha=\"0.14\", expect_size=\"43119616\"] \n  2 -> 3 [size =\"43119616\"]\n  3 [size=\"105407147\", alpha=\"0.18\", expect_size=\"31622144\"] \n  3 -> 4 [size =\"31622144\"]\n  4 [size=\"62525440\", alpha=\"0.17\", expect_size=\"18757632\"] \n  4 -> 5 [size =\"18757632\"]\n  5 [size=\"122402133\", alpha=\"0.17\", expect_size=\"36720640\"] \n  5 -> 6 [size =\"36720640\"]\n  6 [size=\"142059520\", alpha=\"0.11\", expect_size=\"42617856\"] \n  6 -> 7 [size =\"42617856\"]\n  7 [size=\"56364373\", alpha=\"0.05\", expect_size=\"16909312\"] \n  7 -> 8 [size =\"16909312\"]\n  8 [size=\"80994987\", alpha=\"0.17\", expect_size=\"24298496\"] \n  8 -> 9 [size =\"24298496\"]\n  9 [size=\"60392107\", alpha=\"0.05\", expect_size=\"18117632\"] \n  9 -> 10 [size =\"18117632\"]\n  10 [size=\"142417920\", alpha=\"0.08\", expect_size=\"42725376\"] \n  10 -> 11 [size =\"42725376\"]\n  11 [size=\"57094827\", alpha=\"0.15\", expect_size=\"17128448\"] \n  11 -> 12 [size =\"17128448\"]\n  12 [size=\"131703467\", alpha=\"0.09\", expect_size=\"39511040\"] \n  12 -> 13 [size =\"39511040\"]\n  13 [size=\"86978560\", alpha=\"0.16\", expect_size=\"26093568\"] \n  13 -> 14 [size =\"26093568\"]\n  14 [size=\"72741547\", alpha=\"0.02\", expect_size=\"21822464\"] \n  14 -> 15 [size =\"21822464\"]\n  15 [size=\"46499840\", alpha=\"0.06\", expect_size=\"13949952\"] \n  15 -> 16 [size =\"13949952\"]\n  16 [size=\"23845547\", alpha=\"0.07\", expect_size=\"7153664\"] \n  16 -> 17 [size =\"7153664\"]\n  17 [size=\"107871573\", alpha=\"0.15\", expect_size=\"32361472\"] \n  17 -> 18 [size =\"32361472\"]\n  18 [size=\"146391040\", alpha=\"0.12\", expect_size=\"43917312\"] \n  18 -> 19 [size =\"43917312\"]\n  19 [size=\"125419520\", alpha=\"0.07\", expect_size=\"37625856\"] \n  19 -> 20 [size =\"37625856\"]\n  20 [size=\"168017920\", alpha=\"0.09\", expect_size=\"50405376\"] \n  20 -> 21 [size =\"50405376\"]\n  21 [size=\"73205760\", alpha=\"0.07\", expect_size=\"21961728\"] \n  21 -> 22 [size =\"21961728\"]\n  22 [size=\"34112853\", alpha=\"0.01\", expect_size=\"10233856\"] \n  22 -> 23 [size =\"10233856\"]\n  23 [size=\"107851093\", alpha=\"0.07\", expect_size=\"32355328\"] \n  23 -> 24 [size =\"32355328\"]\n  24 [size=\"80291840\", alpha=\"0.18\", expect_size=\"24087552\"] \n  24 -> 25 [size =\"24087552\"]\n  25 [size=\"93248853\", alpha=\"0.02\", expect_size=\"27974656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20121600\", alpha=\"0.03\", expect_size=\"10060800\"] \n  1 -> 6 [size =\"10060800\"]\n  1 -> 7 [size =\"10060800\"]\n  1 -> 8 [size =\"10060800\"]\n  1 -> 10 [size =\"10060800\"]\n  2 [size=\"85381120\", alpha=\"0.00\", expect_size=\"42690560\"] \n  2 -> 9 [size =\"42690560\"]\n  3 [size=\"34738176\", alpha=\"0.04\", expect_size=\"17369088\"] \n  3 -> 6 [size =\"17369088\"]\n  3 -> 7 [size =\"17369088\"]\n  3 -> 8 [size =\"17369088\"]\n  3 -> 9 [size =\"17369088\"]\n  3 -> 10 [size =\"17369088\"]\n  4 [size=\"64745472\", alpha=\"0.03\", expect_size=\"32372736\"] \n  4 -> 7 [size =\"32372736\"]\n  4 -> 8 [size =\"32372736\"]\n  4 -> 9 [size =\"32372736\"]\n  4 -> 9 [size =\"32372736\"]\n  4 -> 10 [size =\"32372736\"]\n  5 [size=\"81688576\", alpha=\"0.01\", expect_size=\"40844288\"] \n  5 -> 6 [size =\"40844288\"]\n  5 -> 7 [size =\"40844288\"]\n  5 -> 9 [size =\"40844288\"]\n  6 [size=\"69834752\", alpha=\"0.17\", expect_size=\"34917376\"] \n  6 -> 12 [size =\"34917376\"]\n  6 -> 13 [size =\"34917376\"]\n  7 [size=\"96878592\", alpha=\"0.05\", expect_size=\"48439296\"] \n  7 -> 12 [size =\"48439296\"]\n  7 -> 14 [size =\"48439296\"]\n  7 -> 15 [size =\"48439296\"]\n  8 [size=\"92002304\", alpha=\"0.07\", expect_size=\"46001152\"] \n  8 -> 12 [size =\"46001152\"]\n  8 -> 15 [size =\"46001152\"]\n  9 [size=\"99733504\", alpha=\"0.06\", expect_size=\"49866752\"] \n  9 -> 11 [size =\"49866752\"]\n  9 -> 12 [size =\"49866752\"]\n  9 -> 13 [size =\"49866752\"]\n  10 [size=\"80717824\", alpha=\"0.11\", expect_size=\"40358912\"] \n  10 -> 12 [size =\"40358912\"]\n  10 -> 14 [size =\"40358912\"]\n  10 -> 15 [size =\"40358912\"]\n  11 [size=\"20746240\", alpha=\"0.02\", expect_size=\"10373120\"] \n  11 -> 17 [size =\"10373120\"]\n  11 -> 18 [size =\"10373120\"]\n  11 -> 19 [size =\"10373120\"]\n  12 [size=\"33271808\", alpha=\"0.09\", expect_size=\"16635904\"] \n  12 -> 18 [size =\"16635904\"]\n  12 -> 19 [size =\"16635904\"]\n  13 [size=\"33337344\", alpha=\"0.08\", expect_size=\"16668672\"] \n  13 -> 17 [size =\"16668672\"]\n  13 -> 18 [size =\"16668672\"]\n  13 -> 19 [size =\"16668672\"]\n  14 [size=\"51472384\", alpha=\"0.15\", expect_size=\"25736192\"] \n  14 -> 16 [size =\"25736192\"]\n  14 -> 17 [size =\"25736192\"]\n  14 -> 19 [size =\"25736192\"]\n  14 -> 20 [size =\"25736192\"]\n  15 [size=\"65447936\", alpha=\"0.19\", expect_size=\"32723968\"] \n  15 -> 16 [size =\"32723968\"]\n  15 -> 17 [size =\"32723968\"]\n  15 -> 19 [size =\"32723968\"]\n  15 -> 20 [size =\"32723968\"]\n  16 [size=\"69804032\", alpha=\"0.04\", expect_size=\"34902016\"] \n  16 -> 21 [size =\"34902016\"]\n  17 [size=\"57077760\", alpha=\"0.09\", expect_size=\"28538880\"] \n  17 -> 22 [size =\"28538880\"]\n  18 [size=\"82505728\", alpha=\"0.09\", expect_size=\"41252864\"] \n  19 [size=\"20195328\", alpha=\"0.08\", expect_size=\"10097664\"] \n  19 -> 23 [size =\"10097664\"]\n  20 [size=\"48814080\", alpha=\"0.05\", expect_size=\"24407040\"] \n  20 -> 21 [size =\"24407040\"]\n  20 -> 22 [size =\"24407040\"]\n  21 [size=\"102746112\", alpha=\"0.03\", expect_size=\"51373056\"] \n  21 -> 24 [size =\"51373056\"]\n  22 [size=\"20154368\", alpha=\"0.17\", expect_size=\"10077184\"] \n  22 -> 24 [size =\"10077184\"]\n  22 -> 25 [size =\"10077184\"]\n  23 [size=\"64768000\", alpha=\"0.17\", expect_size=\"32384000\"] \n  23 -> 24 [size =\"32384000\"]\n  23 -> 25 [size =\"32384000\"]\n  24 [size=\"103866368\", alpha=\"0.08\", expect_size=\"51933184\"] \n  25 [size=\"78505984\", alpha=\"0.14\", expect_size=\"39252992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74715136\", alpha=\"0.03\", expect_size=\"37357568\"] \n  1 -> 3 [size =\"37357568\"]\n  2 [size=\"15097856\", alpha=\"0.15\", expect_size=\"7548928\"] \n  2 -> 3 [size =\"7548928\"]\n  3 [size=\"72669184\", alpha=\"0.07\", expect_size=\"36334592\"] \n  3 -> 4 [size =\"36334592\"]\n  4 [size=\"30672896\", alpha=\"0.15\", expect_size=\"15336448\"] \n  4 -> 5 [size =\"15336448\"]\n  5 [size=\"73541632\", alpha=\"0.13\", expect_size=\"36770816\"] \n  5 -> 6 [size =\"36770816\"]\n  5 -> 7 [size =\"36770816\"]\n  6 [size=\"44150784\", alpha=\"0.01\", expect_size=\"22075392\"] \n  6 -> 8 [size =\"22075392\"]\n  7 [size=\"44734464\", alpha=\"0.18\", expect_size=\"22367232\"] \n  7 -> 8 [size =\"22367232\"]\n  7 -> 9 [size =\"22367232\"]\n  8 [size=\"75194368\", alpha=\"0.02\", expect_size=\"37597184\"] \n  8 -> 10 [size =\"37597184\"]\n  9 [size=\"71528448\", alpha=\"0.09\", expect_size=\"35764224\"] \n  9 -> 10 [size =\"35764224\"]\n  10 [size=\"29755392\", alpha=\"0.02\", expect_size=\"14877696\"] \n  10 -> 11 [size =\"14877696\"]\n  11 [size=\"28940288\", alpha=\"0.06\", expect_size=\"14470144\"] \n  11 -> 12 [size =\"14470144\"]\n  12 [size=\"41914368\", alpha=\"0.20\", expect_size=\"20957184\"] \n  12 -> 13 [size =\"20957184\"]\n  12 -> 14 [size =\"20957184\"]\n  13 [size=\"16734208\", alpha=\"0.02\", expect_size=\"8367104\"] \n  13 -> 15 [size =\"8367104\"]\n  13 -> 16 [size =\"8367104\"]\n  14 [size=\"51617792\", alpha=\"0.15\", expect_size=\"25808896\"] \n  14 -> 15 [size =\"25808896\"]\n  15 [size=\"27912192\", alpha=\"0.05\", expect_size=\"13956096\"] \n  16 [size=\"91199488\", alpha=\"0.20\", expect_size=\"45599744\"] \n  16 -> 17 [size =\"45599744\"]\n  17 [size=\"98099200\", alpha=\"0.08\", expect_size=\"49049600\"] \n  17 -> 18 [size =\"49049600\"]\n  17 -> 19 [size =\"49049600\"]\n  18 [size=\"86571008\", alpha=\"0.19\", expect_size=\"43285504\"] \n  18 -> 20 [size =\"43285504\"]\n  19 [size=\"97898496\", alpha=\"0.07\", expect_size=\"48949248\"] \n  19 -> 20 [size =\"48949248\"]\n  19 -> 21 [size =\"48949248\"]\n  20 [size=\"45324288\", alpha=\"0.06\", expect_size=\"22662144\"] \n  20 -> 22 [size =\"22662144\"]\n  20 -> 23 [size =\"22662144\"]\n  21 [size=\"56330240\", alpha=\"0.18\", expect_size=\"28165120\"] \n  21 -> 22 [size =\"28165120\"]\n  21 -> 23 [size =\"28165120\"]\n  22 [size=\"83849216\", alpha=\"0.12\", expect_size=\"41924608\"] \n  23 [size=\"82044928\", alpha=\"0.19\", expect_size=\"41022464\"] \n  23 -> 24 [size =\"41022464\"]\n  23 -> 25 [size =\"41022464\"]\n  24 [size=\"90230784\", alpha=\"0.10\", expect_size=\"45115392\"] \n  25 [size=\"68941824\", alpha=\"0.14\", expect_size=\"34470912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54780587\", alpha=\"0.03\", expect_size=\"16434176\"] \n  1 -> 7 [size =\"16434176\"]\n  2 [size=\"157535573\", alpha=\"0.17\", expect_size=\"47260672\"] \n  3 [size=\"41775787\", alpha=\"0.08\", expect_size=\"12532736\"] \n  3 -> 7 [size =\"12532736\"]\n  3 -> 8 [size =\"12532736\"]\n  4 [size=\"25456640\", alpha=\"0.11\", expect_size=\"7636992\"] \n  4 -> 6 [size =\"7636992\"]\n  4 -> 8 [size =\"7636992\"]\n  4 -> 9 [size =\"7636992\"]\n  5 [size=\"156098560\", alpha=\"0.07\", expect_size=\"46829568\"] \n  6 [size=\"108018347\", alpha=\"0.07\", expect_size=\"32405504\"] \n  6 -> 10 [size =\"32405504\"]\n  6 -> 12 [size =\"32405504\"]\n  7 [size=\"46810453\", alpha=\"0.03\", expect_size=\"14043136\"] \n  7 -> 11 [size =\"14043136\"]\n  8 [size=\"154429440\", alpha=\"0.19\", expect_size=\"46328832\"] \n  8 -> 12 [size =\"46328832\"]\n  9 [size=\"140206080\", alpha=\"0.09\", expect_size=\"42061824\"] \n  9 -> 10 [size =\"42061824\"]\n  9 -> 13 [size =\"42061824\"]\n  10 [size=\"85398187\", alpha=\"0.04\", expect_size=\"25619456\"] \n  10 -> 14 [size =\"25619456\"]\n  11 [size=\"172066133\", alpha=\"0.11\", expect_size=\"51619840\"] \n  11 -> 16 [size =\"51619840\"]\n  12 [size=\"36481707\", alpha=\"0.04\", expect_size=\"10944512\"] \n  12 -> 17 [size =\"10944512\"]\n  13 [size=\"173141333\", alpha=\"0.07\", expect_size=\"51942400\"] \n  13 -> 14 [size =\"51942400\"]\n  13 -> 15 [size =\"51942400\"]\n  13 -> 17 [size =\"51942400\"]\n  14 [size=\"82100907\", alpha=\"0.01\", expect_size=\"24630272\"] \n  14 -> 19 [size =\"24630272\"]\n  15 [size=\"166481920\", alpha=\"0.08\", expect_size=\"49944576\"] \n  15 -> 19 [size =\"49944576\"]\n  16 [size=\"65259520\", alpha=\"0.15\", expect_size=\"19577856\"] \n  16 -> 18 [size =\"19577856\"]\n  17 [size=\"119705600\", alpha=\"0.18\", expect_size=\"35911680\"] \n  18 [size=\"144868693\", alpha=\"0.10\", expect_size=\"43460608\"] \n  18 -> 20 [size =\"43460608\"]\n  18 -> 21 [size =\"43460608\"]\n  18 -> 22 [size =\"43460608\"]\n  18 -> 23 [size =\"43460608\"]\n  18 -> 24 [size =\"43460608\"]\n  19 [size=\"133236053\", alpha=\"0.14\", expect_size=\"39970816\"] \n  20 [size=\"44741973\", alpha=\"0.19\", expect_size=\"13422592\"] \n  20 -> 25 [size =\"13422592\"]\n  21 [size=\"74270720\", alpha=\"0.08\", expect_size=\"22281216\"] \n  22 [size=\"160047787\", alpha=\"0.15\", expect_size=\"48014336\"] \n  23 [size=\"33764693\", alpha=\"0.06\", expect_size=\"10129408\"] \n  24 [size=\"90350933\", alpha=\"0.17\", expect_size=\"27105280\"] \n  25 [size=\"101328213\", alpha=\"0.06\", expect_size=\"30398464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46666240\", alpha=\"0.14\", expect_size=\"18666496\"] \n  1 -> 10 [size =\"18666496\"]\n  1 -> 13 [size =\"18666496\"]\n  1 -> 14 [size =\"18666496\"]\n  1 -> 17 [size =\"18666496\"]\n  2 [size=\"44298240\", alpha=\"0.19\", expect_size=\"17719296\"] \n  2 -> 14 [size =\"17719296\"]\n  3 [size=\"48148480\", alpha=\"0.09\", expect_size=\"19259392\"] \n  3 -> 10 [size =\"19259392\"]\n  3 -> 14 [size =\"19259392\"]\n  3 -> 15 [size =\"19259392\"]\n  3 -> 19 [size =\"19259392\"]\n  3 -> 20 [size =\"19259392\"]\n  4 [size=\"90890240\", alpha=\"0.03\", expect_size=\"36356096\"] \n  4 -> 10 [size =\"36356096\"]\n  4 -> 17 [size =\"36356096\"]\n  4 -> 20 [size =\"36356096\"]\n  5 [size=\"110579200\", alpha=\"0.15\", expect_size=\"44231680\"] \n  5 -> 14 [size =\"44231680\"]\n  5 -> 16 [size =\"44231680\"]\n  5 -> 17 [size =\"44231680\"]\n  5 -> 19 [size =\"44231680\"]\n  6 [size=\"120030720\", alpha=\"0.20\", expect_size=\"48012288\"] \n  6 -> 10 [size =\"48012288\"]\n  6 -> 11 [size =\"48012288\"]\n  6 -> 15 [size =\"48012288\"]\n  6 -> 16 [size =\"48012288\"]\n  6 -> 19 [size =\"48012288\"]\n  7 [size=\"124677120\", alpha=\"0.02\", expect_size=\"49870848\"] \n  8 [size=\"46520320\", alpha=\"0.10\", expect_size=\"18608128\"] \n  8 -> 10 [size =\"18608128\"]\n  8 -> 17 [size =\"18608128\"]\n  9 [size=\"75095040\", alpha=\"0.04\", expect_size=\"30038016\"] \n  9 -> 11 [size =\"30038016\"]\n  9 -> 12 [size =\"30038016\"]\n  9 -> 17 [size =\"30038016\"]\n  9 -> 18 [size =\"30038016\"]\n  10 [size=\"87278080\", alpha=\"0.03\", expect_size=\"34911232\"] \n  10 -> 25 [size =\"34911232\"]\n  11 [size=\"100513280\", alpha=\"0.11\", expect_size=\"40205312\"] \n  11 -> 21 [size =\"40205312\"]\n  11 -> 25 [size =\"40205312\"]\n  12 [size=\"63595520\", alpha=\"0.07\", expect_size=\"25438208\"] \n  12 -> 21 [size =\"25438208\"]\n  12 -> 25 [size =\"25438208\"]\n  13 [size=\"59233280\", alpha=\"0.15\", expect_size=\"23693312\"] \n  13 -> 22 [size =\"23693312\"]\n  13 -> 24 [size =\"23693312\"]\n  13 -> 25 [size =\"23693312\"]\n  14 [size=\"114577920\", alpha=\"0.00\", expect_size=\"45831168\"] \n  14 -> 21 [size =\"45831168\"]\n  15 [size=\"130928640\", alpha=\"0.08\", expect_size=\"52371456\"] \n  15 -> 23 [size =\"52371456\"]\n  15 -> 24 [size =\"52371456\"]\n  15 -> 25 [size =\"52371456\"]\n  16 [size=\"99100160\", alpha=\"0.12\", expect_size=\"39640064\"] \n  16 -> 22 [size =\"39640064\"]\n  17 [size=\"96320000\", alpha=\"0.11\", expect_size=\"38528000\"] \n  17 -> 24 [size =\"38528000\"]\n  18 [size=\"106644480\", alpha=\"0.04\", expect_size=\"42657792\"] \n  18 -> 24 [size =\"42657792\"]\n  19 [size=\"50388480\", alpha=\"0.14\", expect_size=\"20155392\"] \n  19 -> 23 [size =\"20155392\"]\n  19 -> 25 [size =\"20155392\"]\n  20 [size=\"75993600\", alpha=\"0.17\", expect_size=\"30397440\"] \n  21 [size=\"94638080\", alpha=\"0.06\", expect_size=\"37855232\"] \n  22 [size=\"39098880\", alpha=\"0.20\", expect_size=\"15639552\"] \n  23 [size=\"80504320\", alpha=\"0.20\", expect_size=\"32201728\"] \n  24 [size=\"51432960\", alpha=\"0.13\", expect_size=\"20573184\"] \n  25 [size=\"51786240\", alpha=\"0.03\", expect_size=\"20714496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31870293\", alpha=\"0.19\", expect_size=\"9561088\"] \n  1 -> 2 [size =\"9561088\"]\n  2 [size=\"131635200\", alpha=\"0.07\", expect_size=\"39490560\"] \n  2 -> 3 [size =\"39490560\"]\n  3 [size=\"27757227\", alpha=\"0.12\", expect_size=\"8327168\"] \n  3 -> 4 [size =\"8327168\"]\n  4 [size=\"95037440\", alpha=\"0.15\", expect_size=\"28511232\"] \n  4 -> 5 [size =\"28511232\"]\n  5 [size=\"93480960\", alpha=\"0.06\", expect_size=\"28044288\"] \n  5 -> 6 [size =\"28044288\"]\n  6 [size=\"88883200\", alpha=\"0.02\", expect_size=\"26664960\"] \n  6 -> 7 [size =\"26664960\"]\n  7 [size=\"162365440\", alpha=\"0.14\", expect_size=\"48709632\"] \n  7 -> 8 [size =\"48709632\"]\n  8 [size=\"123313493\", alpha=\"0.10\", expect_size=\"36994048\"] \n  8 -> 9 [size =\"36994048\"]\n  9 [size=\"91883520\", alpha=\"0.02\", expect_size=\"27565056\"] \n  9 -> 10 [size =\"27565056\"]\n  10 [size=\"101778773\", alpha=\"0.19\", expect_size=\"30533632\"] \n  10 -> 11 [size =\"30533632\"]\n  11 [size=\"62866773\", alpha=\"0.18\", expect_size=\"18860032\"] \n  11 -> 12 [size =\"18860032\"]\n  12 [size=\"51592533\", alpha=\"0.05\", expect_size=\"15477760\"] \n  12 -> 13 [size =\"15477760\"]\n  13 [size=\"110493013\", alpha=\"0.17\", expect_size=\"33147904\"] \n  13 -> 14 [size =\"33147904\"]\n  14 [size=\"46639787\", alpha=\"0.05\", expect_size=\"13991936\"] \n  14 -> 15 [size =\"13991936\"]\n  15 [size=\"160675840\", alpha=\"0.00\", expect_size=\"48202752\"] \n  15 -> 16 [size =\"48202752\"]\n  16 [size=\"50831360\", alpha=\"0.14\", expect_size=\"15249408\"] \n  16 -> 17 [size =\"15249408\"]\n  17 [size=\"66174293\", alpha=\"0.15\", expect_size=\"19852288\"] \n  17 -> 18 [size =\"19852288\"]\n  18 [size=\"22565547\", alpha=\"0.12\", expect_size=\"6769664\"] \n  18 -> 19 [size =\"6769664\"]\n  19 [size=\"98901333\", alpha=\"0.19\", expect_size=\"29670400\"] \n  19 -> 20 [size =\"29670400\"]\n  20 [size=\"116353707\", alpha=\"0.13\", expect_size=\"34906112\"] \n  20 -> 21 [size =\"34906112\"]\n  21 [size=\"107840853\", alpha=\"0.09\", expect_size=\"32352256\"] \n  21 -> 22 [size =\"32352256\"]\n  22 [size=\"91258880\", alpha=\"0.00\", expect_size=\"27377664\"] \n  22 -> 23 [size =\"27377664\"]\n  23 [size=\"130024107\", alpha=\"0.12\", expect_size=\"39007232\"] \n  23 -> 24 [size =\"39007232\"]\n  24 [size=\"109076480\", alpha=\"0.14\", expect_size=\"32722944\"] \n  24 -> 25 [size =\"32722944\"]\n  25 [size=\"144950613\", alpha=\"0.06\", expect_size=\"43485184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141458773\", alpha=\"0.17\", expect_size=\"42437632\"] \n  1 -> 3 [size =\"42437632\"]\n  1 -> 4 [size =\"42437632\"]\n  2 [size=\"138120533\", alpha=\"0.06\", expect_size=\"41436160\"] \n  2 -> 3 [size =\"41436160\"]\n  3 [size=\"107656533\", alpha=\"0.11\", expect_size=\"32296960\"] \n  4 [size=\"153340587\", alpha=\"0.18\", expect_size=\"46002176\"] \n  4 -> 5 [size =\"46002176\"]\n  5 [size=\"92088320\", alpha=\"0.09\", expect_size=\"27626496\"] \n  5 -> 6 [size =\"27626496\"]\n  6 [size=\"28187307\", alpha=\"0.11\", expect_size=\"8456192\"] \n  6 -> 7 [size =\"8456192\"]\n  6 -> 8 [size =\"8456192\"]\n  7 [size=\"123787947\", alpha=\"0.15\", expect_size=\"37136384\"] \n  7 -> 9 [size =\"37136384\"]\n  8 [size=\"45568000\", alpha=\"0.17\", expect_size=\"13670400\"] \n  8 -> 9 [size =\"13670400\"]\n  9 [size=\"36362240\", alpha=\"0.03\", expect_size=\"10908672\"] \n  9 -> 10 [size =\"10908672\"]\n  10 [size=\"108380160\", alpha=\"0.16\", expect_size=\"32514048\"] \n  10 -> 11 [size =\"32514048\"]\n  10 -> 12 [size =\"32514048\"]\n  11 [size=\"50397867\", alpha=\"0.20\", expect_size=\"15119360\"] \n  12 [size=\"25422507\", alpha=\"0.13\", expect_size=\"7626752\"] \n  12 -> 13 [size =\"7626752\"]\n  13 [size=\"69259947\", alpha=\"0.07\", expect_size=\"20777984\"] \n  13 -> 14 [size =\"20777984\"]\n  14 [size=\"155023360\", alpha=\"0.13\", expect_size=\"46507008\"] \n  14 -> 15 [size =\"46507008\"]\n  14 -> 16 [size =\"46507008\"]\n  15 [size=\"140055893\", alpha=\"0.15\", expect_size=\"42016768\"] \n  15 -> 17 [size =\"42016768\"]\n  15 -> 18 [size =\"42016768\"]\n  16 [size=\"55074133\", alpha=\"0.04\", expect_size=\"16522240\"] \n  16 -> 17 [size =\"16522240\"]\n  16 -> 18 [size =\"16522240\"]\n  17 [size=\"137792853\", alpha=\"0.14\", expect_size=\"41337856\"] \n  18 [size=\"96252587\", alpha=\"0.07\", expect_size=\"28875776\"] \n  18 -> 19 [size =\"28875776\"]\n  19 [size=\"76342613\", alpha=\"0.13\", expect_size=\"22902784\"] \n  19 -> 20 [size =\"22902784\"]\n  20 [size=\"98385920\", alpha=\"0.01\", expect_size=\"29515776\"] \n  20 -> 21 [size =\"29515776\"]\n  21 [size=\"68099413\", alpha=\"0.05\", expect_size=\"20429824\"] \n  21 -> 22 [size =\"20429824\"]\n  21 -> 23 [size =\"20429824\"]\n  22 [size=\"66495147\", alpha=\"0.04\", expect_size=\"19948544\"] \n  22 -> 25 [size =\"19948544\"]\n  23 [size=\"169700693\", alpha=\"0.15\", expect_size=\"50910208\"] \n  23 -> 24 [size =\"50910208\"]\n  24 [size=\"69365760\", alpha=\"0.03\", expect_size=\"20809728\"] \n  25 [size=\"18172587\", alpha=\"0.00\", expect_size=\"5451776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85338112\", alpha=\"0.09\", expect_size=\"42669056\"] \n  1 -> 5 [size =\"42669056\"]\n  1 -> 8 [size =\"42669056\"]\n  2 [size=\"98918400\", alpha=\"0.11\", expect_size=\"49459200\"] \n  2 -> 5 [size =\"49459200\"]\n  2 -> 7 [size =\"49459200\"]\n  2 -> 8 [size =\"49459200\"]\n  3 [size=\"18403328\", alpha=\"0.10\", expect_size=\"9201664\"] \n  3 -> 5 [size =\"9201664\"]\n  3 -> 6 [size =\"9201664\"]\n  3 -> 7 [size =\"9201664\"]\n  3 -> 8 [size =\"9201664\"]\n  4 [size=\"39780352\", alpha=\"0.03\", expect_size=\"19890176\"] \n  4 -> 8 [size =\"19890176\"]\n  5 [size=\"95799296\", alpha=\"0.14\", expect_size=\"47899648\"] \n  5 -> 9 [size =\"47899648\"]\n  5 -> 11 [size =\"47899648\"]\n  5 -> 11 [size =\"47899648\"]\n  6 [size=\"39385088\", alpha=\"0.10\", expect_size=\"19692544\"] \n  6 -> 9 [size =\"19692544\"]\n  6 -> 10 [size =\"19692544\"]\n  7 [size=\"83343360\", alpha=\"0.12\", expect_size=\"41671680\"] \n  7 -> 9 [size =\"41671680\"]\n  7 -> 10 [size =\"41671680\"]\n  7 -> 11 [size =\"41671680\"]\n  8 [size=\"66019328\", alpha=\"0.07\", expect_size=\"33009664\"] \n  8 -> 9 [size =\"33009664\"]\n  8 -> 10 [size =\"33009664\"]\n  8 -> 11 [size =\"33009664\"]\n  9 [size=\"58206208\", alpha=\"0.11\", expect_size=\"29103104\"] \n  9 -> 12 [size =\"29103104\"]\n  9 -> 14 [size =\"29103104\"]\n  10 [size=\"55633920\", alpha=\"0.20\", expect_size=\"27816960\"] \n  10 -> 12 [size =\"27816960\"]\n  10 -> 13 [size =\"27816960\"]\n  10 -> 14 [size =\"27816960\"]\n  11 [size=\"16857088\", alpha=\"0.06\", expect_size=\"8428544\"] \n  11 -> 12 [size =\"8428544\"]\n  11 -> 13 [size =\"8428544\"]\n  11 -> 14 [size =\"8428544\"]\n  12 [size=\"59910144\", alpha=\"0.07\", expect_size=\"29955072\"] \n  12 -> 16 [size =\"29955072\"]\n  12 -> 17 [size =\"29955072\"]\n  12 -> 18 [size =\"29955072\"]\n  13 [size=\"18065408\", alpha=\"0.19\", expect_size=\"9032704\"] \n  13 -> 15 [size =\"9032704\"]\n  14 [size=\"64215040\", alpha=\"0.00\", expect_size=\"32107520\"] \n  14 -> 15 [size =\"32107520\"]\n  14 -> 18 [size =\"32107520\"]\n  15 [size=\"79177728\", alpha=\"0.15\", expect_size=\"39588864\"] \n  15 -> 19 [size =\"39588864\"]\n  15 -> 20 [size =\"39588864\"]\n  15 -> 21 [size =\"39588864\"]\n  16 [size=\"48707584\", alpha=\"0.19\", expect_size=\"24353792\"] \n  16 -> 19 [size =\"24353792\"]\n  16 -> 21 [size =\"24353792\"]\n  17 [size=\"95483904\", alpha=\"0.03\", expect_size=\"47741952\"] \n  17 -> 19 [size =\"47741952\"]\n  17 -> 20 [size =\"47741952\"]\n  18 [size=\"55894016\", alpha=\"0.09\", expect_size=\"27947008\"] \n  18 -> 19 [size =\"27947008\"]\n  18 -> 20 [size =\"27947008\"]\n  18 -> 21 [size =\"27947008\"]\n  19 [size=\"88989696\", alpha=\"0.04\", expect_size=\"44494848\"] \n  19 -> 24 [size =\"44494848\"]\n  20 [size=\"47034368\", alpha=\"0.19\", expect_size=\"23517184\"] \n  20 -> 22 [size =\"23517184\"]\n  20 -> 24 [size =\"23517184\"]\n  21 [size=\"45668352\", alpha=\"0.10\", expect_size=\"22834176\"] \n  21 -> 22 [size =\"22834176\"]\n  21 -> 23 [size =\"22834176\"]\n  21 -> 24 [size =\"22834176\"]\n  22 [size=\"73041920\", alpha=\"0.20\", expect_size=\"36520960\"] \n  22 -> 25 [size =\"36520960\"]\n  23 [size=\"12326912\", alpha=\"0.11\", expect_size=\"6163456\"] \n  23 -> 25 [size =\"6163456\"]\n  24 [size=\"101025792\", alpha=\"0.09\", expect_size=\"50512896\"] \n  24 -> 25 [size =\"50512896\"]\n  25 [size=\"101470208\", alpha=\"0.05\", expect_size=\"50735104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100040704\", alpha=\"0.12\", expect_size=\"50020352\"] \n  1 -> 2 [size =\"50020352\"]\n  2 [size=\"82112512\", alpha=\"0.01\", expect_size=\"41056256\"] \n  2 -> 3 [size =\"41056256\"]\n  3 [size=\"33546240\", alpha=\"0.12\", expect_size=\"16773120\"] \n  3 -> 4 [size =\"16773120\"]\n  4 [size=\"18735104\", alpha=\"0.01\", expect_size=\"9367552\"] \n  4 -> 5 [size =\"9367552\"]\n  5 [size=\"32874496\", alpha=\"0.09\", expect_size=\"16437248\"] \n  5 -> 6 [size =\"16437248\"]\n  6 [size=\"30152704\", alpha=\"0.14\", expect_size=\"15076352\"] \n  6 -> 7 [size =\"15076352\"]\n  7 [size=\"64684032\", alpha=\"0.05\", expect_size=\"32342016\"] \n  7 -> 8 [size =\"32342016\"]\n  8 [size=\"64557056\", alpha=\"0.12\", expect_size=\"32278528\"] \n  8 -> 9 [size =\"32278528\"]\n  9 [size=\"59535360\", alpha=\"0.13\", expect_size=\"29767680\"] \n  9 -> 10 [size =\"29767680\"]\n  10 [size=\"47579136\", alpha=\"0.04\", expect_size=\"23789568\"] \n  10 -> 11 [size =\"23789568\"]\n  11 [size=\"58189824\", alpha=\"0.07\", expect_size=\"29094912\"] \n  11 -> 12 [size =\"29094912\"]\n  12 [size=\"18569216\", alpha=\"0.12\", expect_size=\"9284608\"] \n  12 -> 13 [size =\"9284608\"]\n  13 [size=\"22849536\", alpha=\"0.11\", expect_size=\"11424768\"] \n  13 -> 14 [size =\"11424768\"]\n  14 [size=\"77176832\", alpha=\"0.06\", expect_size=\"38588416\"] \n  14 -> 15 [size =\"38588416\"]\n  15 [size=\"79591424\", alpha=\"0.06\", expect_size=\"39795712\"] \n  15 -> 16 [size =\"39795712\"]\n  16 [size=\"25604096\", alpha=\"0.05\", expect_size=\"12802048\"] \n  16 -> 17 [size =\"12802048\"]\n  17 [size=\"90417152\", alpha=\"0.17\", expect_size=\"45208576\"] \n  17 -> 18 [size =\"45208576\"]\n  18 [size=\"19787776\", alpha=\"0.06\", expect_size=\"9893888\"] \n  18 -> 19 [size =\"9893888\"]\n  19 [size=\"75268096\", alpha=\"0.04\", expect_size=\"37634048\"] \n  19 -> 20 [size =\"37634048\"]\n  20 [size=\"40689664\", alpha=\"0.05\", expect_size=\"20344832\"] \n  20 -> 21 [size =\"20344832\"]\n  21 [size=\"57536512\", alpha=\"0.04\", expect_size=\"28768256\"] \n  21 -> 22 [size =\"28768256\"]\n  22 [size=\"92069888\", alpha=\"0.18\", expect_size=\"46034944\"] \n  22 -> 23 [size =\"46034944\"]\n  23 [size=\"52166656\", alpha=\"0.17\", expect_size=\"26083328\"] \n  23 -> 24 [size =\"26083328\"]\n  24 [size=\"102262784\", alpha=\"0.18\", expect_size=\"51131392\"] \n  24 -> 25 [size =\"51131392\"]\n  25 [size=\"38479872\", alpha=\"0.04\", expect_size=\"19239936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117985280\", alpha=\"0.04\", expect_size=\"35395584\"] \n  1 -> 16 [size =\"35395584\"]\n  1 -> 18 [size =\"35395584\"]\n  1 -> 18 [size =\"35395584\"]\n  1 -> 20 [size =\"35395584\"]\n  1 -> 21 [size =\"35395584\"]\n  1 -> 25 [size =\"35395584\"]\n  2 [size=\"158303573\", alpha=\"0.05\", expect_size=\"47491072\"] \n  2 -> 15 [size =\"47491072\"]\n  2 -> 16 [size =\"47491072\"]\n  2 -> 19 [size =\"47491072\"]\n  2 -> 21 [size =\"47491072\"]\n  2 -> 23 [size =\"47491072\"]\n  3 [size=\"20251307\", alpha=\"0.20\", expect_size=\"6075392\"] \n  3 -> 16 [size =\"6075392\"]\n  3 -> 17 [size =\"6075392\"]\n  3 -> 19 [size =\"6075392\"]\n  3 -> 21 [size =\"6075392\"]\n  3 -> 24 [size =\"6075392\"]\n  4 [size=\"109878613\", alpha=\"0.05\", expect_size=\"32963584\"] \n  4 -> 16 [size =\"32963584\"]\n  4 -> 18 [size =\"32963584\"]\n  4 -> 19 [size =\"32963584\"]\n  4 -> 20 [size =\"32963584\"]\n  4 -> 21 [size =\"32963584\"]\n  4 -> 24 [size =\"32963584\"]\n  5 [size=\"104529920\", alpha=\"0.04\", expect_size=\"31358976\"] \n  5 -> 16 [size =\"31358976\"]\n  5 -> 18 [size =\"31358976\"]\n  5 -> 19 [size =\"31358976\"]\n  5 -> 20 [size =\"31358976\"]\n  5 -> 21 [size =\"31358976\"]\n  5 -> 24 [size =\"31358976\"]\n  6 [size=\"154484053\", alpha=\"0.06\", expect_size=\"46345216\"] \n  6 -> 15 [size =\"46345216\"]\n  6 -> 16 [size =\"46345216\"]\n  6 -> 18 [size =\"46345216\"]\n  6 -> 20 [size =\"46345216\"]\n  6 -> 21 [size =\"46345216\"]\n  6 -> 23 [size =\"46345216\"]\n  6 -> 25 [size =\"46345216\"]\n  7 [size=\"48544427\", alpha=\"0.10\", expect_size=\"14563328\"] \n  7 -> 15 [size =\"14563328\"]\n  7 -> 16 [size =\"14563328\"]\n  7 -> 20 [size =\"14563328\"]\n  7 -> 24 [size =\"14563328\"]\n  7 -> 25 [size =\"14563328\"]\n  8 [size=\"142574933\", alpha=\"0.08\", expect_size=\"42772480\"] \n  8 -> 16 [size =\"42772480\"]\n  8 -> 20 [size =\"42772480\"]\n  8 -> 21 [size =\"42772480\"]\n  8 -> 25 [size =\"42772480\"]\n  9 [size=\"35795627\", alpha=\"0.19\", expect_size=\"10738688\"] \n  9 -> 16 [size =\"10738688\"]\n  9 -> 20 [size =\"10738688\"]\n  9 -> 21 [size =\"10738688\"]\n  9 -> 22 [size =\"10738688\"]\n  9 -> 24 [size =\"10738688\"]\n  10 [size=\"151183360\", alpha=\"0.03\", expect_size=\"45355008\"] \n  10 -> 19 [size =\"45355008\"]\n  10 -> 20 [size =\"45355008\"]\n  10 -> 25 [size =\"45355008\"]\n  11 [size=\"83653973\", alpha=\"0.03\", expect_size=\"25096192\"] \n  11 -> 17 [size =\"25096192\"]\n  11 -> 18 [size =\"25096192\"]\n  11 -> 19 [size =\"25096192\"]\n  11 -> 20 [size =\"25096192\"]\n  11 -> 21 [size =\"25096192\"]\n  11 -> 22 [size =\"25096192\"]\n  11 -> 24 [size =\"25096192\"]\n  12 [size=\"116736000\", alpha=\"0.11\", expect_size=\"35020800\"] \n  12 -> 17 [size =\"35020800\"]\n  12 -> 19 [size =\"35020800\"]\n  12 -> 19 [size =\"35020800\"]\n  12 -> 20 [size =\"35020800\"]\n  12 -> 21 [size =\"35020800\"]\n  12 -> 23 [size =\"35020800\"]\n  13 [size=\"159378773\", alpha=\"0.04\", expect_size=\"47813632\"] \n  13 -> 18 [size =\"47813632\"]\n  13 -> 19 [size =\"47813632\"]\n  13 -> 20 [size =\"47813632\"]\n  13 -> 20 [size =\"47813632\"]\n  13 -> 21 [size =\"47813632\"]\n  13 -> 25 [size =\"47813632\"]\n  14 [size=\"158836053\", alpha=\"0.17\", expect_size=\"47650816\"] \n  14 -> 16 [size =\"47650816\"]\n  14 -> 17 [size =\"47650816\"]\n  14 -> 18 [size =\"47650816\"]\n  14 -> 19 [size =\"47650816\"]\n  14 -> 20 [size =\"47650816\"]\n  14 -> 21 [size =\"47650816\"]\n  14 -> 23 [size =\"47650816\"]\n  14 -> 25 [size =\"47650816\"]\n  15 [size=\"43533653\", alpha=\"0.06\", expect_size=\"13060096\"] \n  16 [size=\"78083413\", alpha=\"0.13\", expect_size=\"23425024\"] \n  17 [size=\"127061333\", alpha=\"0.03\", expect_size=\"38118400\"] \n  18 [size=\"47697920\", alpha=\"0.04\", expect_size=\"14309376\"] \n  19 [size=\"114046293\", alpha=\"0.04\", expect_size=\"34213888\"] \n  20 [size=\"108055893\", alpha=\"0.10\", expect_size=\"32416768\"] \n  21 [size=\"134533120\", alpha=\"0.09\", expect_size=\"40359936\"] \n  22 [size=\"159204693\", alpha=\"0.06\", expect_size=\"47761408\"] \n  23 [size=\"86067200\", alpha=\"0.03\", expect_size=\"25820160\"] \n  24 [size=\"114855253\", alpha=\"0.12\", expect_size=\"34456576\"] \n  25 [size=\"92917760\", alpha=\"0.11\", expect_size=\"27875328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32645120\", alpha=\"0.14\", expect_size=\"16322560\"] \n  1 -> 2 [size =\"16322560\"]\n  2 [size=\"92248064\", alpha=\"0.02\", expect_size=\"46124032\"] \n  2 -> 3 [size =\"46124032\"]\n  3 [size=\"40904704\", alpha=\"0.04\", expect_size=\"20452352\"] \n  3 -> 4 [size =\"20452352\"]\n  4 [size=\"61319168\", alpha=\"0.15\", expect_size=\"30659584\"] \n  4 -> 5 [size =\"30659584\"]\n  5 [size=\"63291392\", alpha=\"0.15\", expect_size=\"31645696\"] \n  5 -> 6 [size =\"31645696\"]\n  6 [size=\"13056000\", alpha=\"0.17\", expect_size=\"6528000\"] \n  6 -> 7 [size =\"6528000\"]\n  7 [size=\"53258240\", alpha=\"0.12\", expect_size=\"26629120\"] \n  7 -> 8 [size =\"26629120\"]\n  8 [size=\"92565504\", alpha=\"0.02\", expect_size=\"46282752\"] \n  8 -> 9 [size =\"46282752\"]\n  9 [size=\"66203648\", alpha=\"0.07\", expect_size=\"33101824\"] \n  9 -> 10 [size =\"33101824\"]\n  10 [size=\"37443584\", alpha=\"0.04\", expect_size=\"18721792\"] \n  10 -> 11 [size =\"18721792\"]\n  11 [size=\"81854464\", alpha=\"0.05\", expect_size=\"40927232\"] \n  11 -> 12 [size =\"40927232\"]\n  12 [size=\"54149120\", alpha=\"0.16\", expect_size=\"27074560\"] \n  12 -> 13 [size =\"27074560\"]\n  13 [size=\"62414848\", alpha=\"0.10\", expect_size=\"31207424\"] \n  13 -> 14 [size =\"31207424\"]\n  14 [size=\"81883136\", alpha=\"0.09\", expect_size=\"40941568\"] \n  14 -> 15 [size =\"40941568\"]\n  15 [size=\"57878528\", alpha=\"0.17\", expect_size=\"28939264\"] \n  15 -> 16 [size =\"28939264\"]\n  16 [size=\"33046528\", alpha=\"0.19\", expect_size=\"16523264\"] \n  16 -> 17 [size =\"16523264\"]\n  17 [size=\"19200000\", alpha=\"0.05\", expect_size=\"9600000\"] \n  17 -> 18 [size =\"9600000\"]\n  18 [size=\"75544576\", alpha=\"0.13\", expect_size=\"37772288\"] \n  18 -> 19 [size =\"37772288\"]\n  19 [size=\"83746816\", alpha=\"0.09\", expect_size=\"41873408\"] \n  19 -> 20 [size =\"41873408\"]\n  20 [size=\"21708800\", alpha=\"0.11\", expect_size=\"10854400\"] \n  20 -> 21 [size =\"10854400\"]\n  21 [size=\"38754304\", alpha=\"0.18\", expect_size=\"19377152\"] \n  21 -> 22 [size =\"19377152\"]\n  22 [size=\"60065792\", alpha=\"0.03\", expect_size=\"30032896\"] \n  22 -> 23 [size =\"30032896\"]\n  23 [size=\"43311104\", alpha=\"0.13\", expect_size=\"21655552\"] \n  23 -> 24 [size =\"21655552\"]\n  24 [size=\"91846656\", alpha=\"0.15\", expect_size=\"45923328\"] \n  24 -> 25 [size =\"45923328\"]\n  25 [size=\"38864896\", alpha=\"0.08\", expect_size=\"19432448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94655147\", alpha=\"0.15\", expect_size=\"28396544\"] \n  2 [size=\"73472000\", alpha=\"0.01\", expect_size=\"22041600\"] \n  2 -> 5 [size =\"22041600\"]\n  3 [size=\"80186027\", alpha=\"0.11\", expect_size=\"24055808\"] \n  3 -> 5 [size =\"24055808\"]\n  4 [size=\"146315947\", alpha=\"0.13\", expect_size=\"43894784\"] \n  4 -> 6 [size =\"43894784\"]\n  5 [size=\"96040960\", alpha=\"0.14\", expect_size=\"28812288\"] \n  5 -> 8 [size =\"28812288\"]\n  6 [size=\"93651627\", alpha=\"0.18\", expect_size=\"28095488\"] \n  6 -> 7 [size =\"28095488\"]\n  7 [size=\"104905387\", alpha=\"0.18\", expect_size=\"31471616\"] \n  7 -> 10 [size =\"31471616\"]\n  7 -> 12 [size =\"31471616\"]\n  8 [size=\"91576320\", alpha=\"0.08\", expect_size=\"27472896\"] \n  8 -> 9 [size =\"27472896\"]\n  8 -> 11 [size =\"27472896\"]\n  9 [size=\"94303573\", alpha=\"0.20\", expect_size=\"28291072\"] \n  9 -> 16 [size =\"28291072\"]\n  10 [size=\"23476907\", alpha=\"0.10\", expect_size=\"7043072\"] \n  11 [size=\"147428693\", alpha=\"0.14\", expect_size=\"44228608\"] \n  11 -> 13 [size =\"44228608\"]\n  11 -> 15 [size =\"44228608\"]\n  12 [size=\"105274027\", alpha=\"0.13\", expect_size=\"31582208\"] \n  12 -> 14 [size =\"31582208\"]\n  12 -> 15 [size =\"31582208\"]\n  13 [size=\"116125013\", alpha=\"0.01\", expect_size=\"34837504\"] \n  13 -> 17 [size =\"34837504\"]\n  13 -> 18 [size =\"34837504\"]\n  14 [size=\"47704747\", alpha=\"0.02\", expect_size=\"14311424\"] \n  14 -> 17 [size =\"14311424\"]\n  14 -> 19 [size =\"14311424\"]\n  15 [size=\"146435413\", alpha=\"0.13\", expect_size=\"43930624\"] \n  15 -> 18 [size =\"43930624\"]\n  16 [size=\"99792213\", alpha=\"0.17\", expect_size=\"29937664\"] \n  17 [size=\"86722560\", alpha=\"0.06\", expect_size=\"26016768\"] \n  17 -> 20 [size =\"26016768\"]\n  17 -> 21 [size =\"26016768\"]\n  17 -> 22 [size =\"26016768\"]\n  18 [size=\"70853973\", alpha=\"0.05\", expect_size=\"21256192\"] \n  18 -> 22 [size =\"21256192\"]\n  18 -> 23 [size =\"21256192\"]\n  19 [size=\"136639147\", alpha=\"0.07\", expect_size=\"40991744\"] \n  19 -> 20 [size =\"40991744\"]\n  20 [size=\"136495787\", alpha=\"0.16\", expect_size=\"40948736\"] \n  20 -> 24 [size =\"40948736\"]\n  21 [size=\"60047360\", alpha=\"0.14\", expect_size=\"18014208\"] \n  21 -> 24 [size =\"18014208\"]\n  22 [size=\"171622400\", alpha=\"0.20\", expect_size=\"51486720\"] \n  23 [size=\"118374400\", alpha=\"0.13\", expect_size=\"35512320\"] \n  23 -> 25 [size =\"35512320\"]\n  24 [size=\"127317333\", alpha=\"0.03\", expect_size=\"38195200\"] \n  25 [size=\"144312320\", alpha=\"0.03\", expect_size=\"43293696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28582400\", alpha=\"0.07\", expect_size=\"11432960\"] \n  1 -> 11 [size =\"11432960\"]\n  1 -> 13 [size =\"11432960\"]\n  1 -> 13 [size =\"11432960\"]\n  1 -> 15 [size =\"11432960\"]\n  2 [size=\"25259520\", alpha=\"0.03\", expect_size=\"10103808\"] \n  2 -> 11 [size =\"10103808\"]\n  2 -> 13 [size =\"10103808\"]\n  2 -> 15 [size =\"10103808\"]\n  3 [size=\"109908480\", alpha=\"0.08\", expect_size=\"43963392\"] \n  3 -> 10 [size =\"43963392\"]\n  3 -> 11 [size =\"43963392\"]\n  3 -> 12 [size =\"43963392\"]\n  3 -> 13 [size =\"43963392\"]\n  3 -> 15 [size =\"43963392\"]\n  3 -> 17 [size =\"43963392\"]\n  4 [size=\"70187520\", alpha=\"0.11\", expect_size=\"28075008\"] \n  4 -> 11 [size =\"28075008\"]\n  4 -> 12 [size =\"28075008\"]\n  4 -> 15 [size =\"28075008\"]\n  4 -> 16 [size =\"28075008\"]\n  4 -> 17 [size =\"28075008\"]\n  5 [size=\"54656000\", alpha=\"0.18\", expect_size=\"21862400\"] \n  5 -> 11 [size =\"21862400\"]\n  5 -> 12 [size =\"21862400\"]\n  5 -> 14 [size =\"21862400\"]\n  5 -> 15 [size =\"21862400\"]\n  5 -> 17 [size =\"21862400\"]\n  6 [size=\"41128960\", alpha=\"0.17\", expect_size=\"16451584\"] \n  6 -> 11 [size =\"16451584\"]\n  6 -> 12 [size =\"16451584\"]\n  6 -> 13 [size =\"16451584\"]\n  6 -> 14 [size =\"16451584\"]\n  6 -> 17 [size =\"16451584\"]\n  7 [size=\"26252800\", alpha=\"0.01\", expect_size=\"10501120\"] \n  7 -> 11 [size =\"10501120\"]\n  7 -> 12 [size =\"10501120\"]\n  7 -> 13 [size =\"10501120\"]\n  7 -> 14 [size =\"10501120\"]\n  7 -> 15 [size =\"10501120\"]\n  8 [size=\"19699200\", alpha=\"0.11\", expect_size=\"7879680\"] \n  8 -> 13 [size =\"7879680\"]\n  8 -> 14 [size =\"7879680\"]\n  8 -> 15 [size =\"7879680\"]\n  8 -> 17 [size =\"7879680\"]\n  9 [size=\"118305280\", alpha=\"0.20\", expect_size=\"47322112\"] \n  9 -> 11 [size =\"47322112\"]\n  9 -> 12 [size =\"47322112\"]\n  9 -> 13 [size =\"47322112\"]\n  9 -> 15 [size =\"47322112\"]\n  10 [size=\"18337280\", alpha=\"0.08\", expect_size=\"7334912\"] \n  10 -> 20 [size =\"7334912\"]\n  10 -> 22 [size =\"7334912\"]\n  10 -> 24 [size =\"7334912\"]\n  10 -> 25 [size =\"7334912\"]\n  11 [size=\"106462720\", alpha=\"0.10\", expect_size=\"42585088\"] \n  11 -> 19 [size =\"42585088\"]\n  11 -> 22 [size =\"42585088\"]\n  11 -> 24 [size =\"42585088\"]\n  11 -> 25 [size =\"42585088\"]\n  12 [size=\"28661760\", alpha=\"0.07\", expect_size=\"11464704\"] \n  12 -> 20 [size =\"11464704\"]\n  12 -> 21 [size =\"11464704\"]\n  13 [size=\"44357120\", alpha=\"0.07\", expect_size=\"17742848\"] \n  13 -> 25 [size =\"17742848\"]\n  14 [size=\"93529600\", alpha=\"0.05\", expect_size=\"37411840\"] \n  14 -> 18 [size =\"37411840\"]\n  14 -> 21 [size =\"37411840\"]\n  14 -> 24 [size =\"37411840\"]\n  14 -> 25 [size =\"37411840\"]\n  15 [size=\"39697920\", alpha=\"0.17\", expect_size=\"15879168\"] \n  15 -> 18 [size =\"15879168\"]\n  15 -> 21 [size =\"15879168\"]\n  15 -> 22 [size =\"15879168\"]\n  15 -> 23 [size =\"15879168\"]\n  15 -> 25 [size =\"15879168\"]\n  16 [size=\"28884480\", alpha=\"0.20\", expect_size=\"11553792\"] \n  16 -> 19 [size =\"11553792\"]\n  16 -> 20 [size =\"11553792\"]\n  16 -> 21 [size =\"11553792\"]\n  16 -> 22 [size =\"11553792\"]\n  16 -> 23 [size =\"11553792\"]\n  16 -> 25 [size =\"11553792\"]\n  17 [size=\"129518080\", alpha=\"0.18\", expect_size=\"51807232\"] \n  17 -> 19 [size =\"51807232\"]\n  17 -> 20 [size =\"51807232\"]\n  17 -> 21 [size =\"51807232\"]\n  17 -> 22 [size =\"51807232\"]\n  17 -> 24 [size =\"51807232\"]\n  17 -> 25 [size =\"51807232\"]\n  18 [size=\"17566720\", alpha=\"0.06\", expect_size=\"7026688\"] \n  19 [size=\"82728960\", alpha=\"0.19\", expect_size=\"33091584\"] \n  20 [size=\"82472960\", alpha=\"0.11\", expect_size=\"32989184\"] \n  21 [size=\"129525760\", alpha=\"0.05\", expect_size=\"51810304\"] \n  22 [size=\"68459520\", alpha=\"0.02\", expect_size=\"27383808\"] \n  23 [size=\"109680640\", alpha=\"0.15\", expect_size=\"43872256\"] \n  24 [size=\"35576320\", alpha=\"0.17\", expect_size=\"14230528\"] \n  25 [size=\"65105920\", alpha=\"0.07\", expect_size=\"26042368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43544576\", alpha=\"0.19\", expect_size=\"21772288\"] \n  1 -> 22 [size =\"21772288\"]\n  2 [size=\"84054016\", alpha=\"0.19\", expect_size=\"42027008\"] \n  2 -> 20 [size =\"42027008\"]\n  2 -> 24 [size =\"42027008\"]\n  2 -> 25 [size =\"42027008\"]\n  3 [size=\"80398336\", alpha=\"0.11\", expect_size=\"40199168\"] \n  3 -> 24 [size =\"40199168\"]\n  4 [size=\"32817152\", alpha=\"0.20\", expect_size=\"16408576\"] \n  4 -> 20 [size =\"16408576\"]\n  4 -> 24 [size =\"16408576\"]\n  5 [size=\"12552192\", alpha=\"0.09\", expect_size=\"6276096\"] \n  5 -> 22 [size =\"6276096\"]\n  5 -> 24 [size =\"6276096\"]\n  5 -> 25 [size =\"6276096\"]\n  6 [size=\"98314240\", alpha=\"0.09\", expect_size=\"49157120\"] \n  6 -> 22 [size =\"49157120\"]\n  6 -> 25 [size =\"49157120\"]\n  7 [size=\"56739840\", alpha=\"0.06\", expect_size=\"28369920\"] \n  7 -> 21 [size =\"28369920\"]\n  7 -> 22 [size =\"28369920\"]\n  8 [size=\"37261312\", alpha=\"0.17\", expect_size=\"18630656\"] \n  8 -> 21 [size =\"18630656\"]\n  8 -> 24 [size =\"18630656\"]\n  9 [size=\"101107712\", alpha=\"0.17\", expect_size=\"50553856\"] \n  9 -> 22 [size =\"50553856\"]\n  9 -> 24 [size =\"50553856\"]\n  10 [size=\"20979712\", alpha=\"0.10\", expect_size=\"10489856\"] \n  10 -> 22 [size =\"10489856\"]\n  10 -> 25 [size =\"10489856\"]\n  11 [size=\"89311232\", alpha=\"0.05\", expect_size=\"44655616\"] \n  11 -> 20 [size =\"44655616\"]\n  11 -> 22 [size =\"44655616\"]\n  11 -> 23 [size =\"44655616\"]\n  11 -> 25 [size =\"44655616\"]\n  12 [size=\"84381696\", alpha=\"0.01\", expect_size=\"42190848\"] \n  12 -> 25 [size =\"42190848\"]\n  13 [size=\"79921152\", alpha=\"0.01\", expect_size=\"39960576\"] \n  13 -> 24 [size =\"39960576\"]\n  13 -> 25 [size =\"39960576\"]\n  14 [size=\"36145152\", alpha=\"0.17\", expect_size=\"18072576\"] \n  14 -> 22 [size =\"18072576\"]\n  14 -> 25 [size =\"18072576\"]\n  15 [size=\"33880064\", alpha=\"0.02\", expect_size=\"16940032\"] \n  15 -> 21 [size =\"16940032\"]\n  15 -> 22 [size =\"16940032\"]\n  15 -> 25 [size =\"16940032\"]\n  16 [size=\"76189696\", alpha=\"0.05\", expect_size=\"38094848\"] \n  16 -> 22 [size =\"38094848\"]\n  16 -> 25 [size =\"38094848\"]\n  17 [size=\"25356288\", alpha=\"0.09\", expect_size=\"12678144\"] \n  17 -> 20 [size =\"12678144\"]\n  17 -> 22 [size =\"12678144\"]\n  18 [size=\"54575104\", alpha=\"0.19\", expect_size=\"27287552\"] \n  18 -> 25 [size =\"27287552\"]\n  19 [size=\"39702528\", alpha=\"0.14\", expect_size=\"19851264\"] \n  20 [size=\"24197120\", alpha=\"0.10\", expect_size=\"12098560\"] \n  21 [size=\"69115904\", alpha=\"0.12\", expect_size=\"34557952\"] \n  22 [size=\"92258304\", alpha=\"0.10\", expect_size=\"46129152\"] \n  23 [size=\"98654208\", alpha=\"0.03\", expect_size=\"49327104\"] \n  24 [size=\"103833600\", alpha=\"0.00\", expect_size=\"51916800\"] \n  25 [size=\"88551424\", alpha=\"0.18\", expect_size=\"44275712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100509696\", alpha=\"0.06\", expect_size=\"50254848\"] \n  1 -> 2 [size =\"50254848\"]\n  1 -> 3 [size =\"50254848\"]\n  2 [size=\"69808128\", alpha=\"0.04\", expect_size=\"34904064\"] \n  2 -> 4 [size =\"34904064\"]\n  2 -> 5 [size =\"34904064\"]\n  3 [size=\"59426816\", alpha=\"0.06\", expect_size=\"29713408\"] \n  3 -> 4 [size =\"29713408\"]\n  3 -> 5 [size =\"29713408\"]\n  4 [size=\"45506560\", alpha=\"0.00\", expect_size=\"22753280\"] \n  4 -> 6 [size =\"22753280\"]\n  5 [size=\"79243264\", alpha=\"0.07\", expect_size=\"39621632\"] \n  5 -> 6 [size =\"39621632\"]\n  6 [size=\"36624384\", alpha=\"0.16\", expect_size=\"18312192\"] \n  6 -> 7 [size =\"18312192\"]\n  6 -> 8 [size =\"18312192\"]\n  7 [size=\"19036160\", alpha=\"0.06\", expect_size=\"9518080\"] \n  8 [size=\"22831104\", alpha=\"0.09\", expect_size=\"11415552\"] \n  8 -> 9 [size =\"11415552\"]\n  9 [size=\"74930176\", alpha=\"0.01\", expect_size=\"37465088\"] \n  9 -> 10 [size =\"37465088\"]\n  9 -> 11 [size =\"37465088\"]\n  10 [size=\"82100224\", alpha=\"0.15\", expect_size=\"41050112\"] \n  10 -> 12 [size =\"41050112\"]\n  11 [size=\"16738304\", alpha=\"0.15\", expect_size=\"8369152\"] \n  11 -> 12 [size =\"8369152\"]\n  12 [size=\"43175936\", alpha=\"0.01\", expect_size=\"21587968\"] \n  12 -> 13 [size =\"21587968\"]\n  13 [size=\"62945280\", alpha=\"0.00\", expect_size=\"31472640\"] \n  13 -> 14 [size =\"31472640\"]\n  14 [size=\"90710016\", alpha=\"0.13\", expect_size=\"45355008\"] \n  14 -> 15 [size =\"45355008\"]\n  14 -> 16 [size =\"45355008\"]\n  15 [size=\"91906048\", alpha=\"0.03\", expect_size=\"45953024\"] \n  15 -> 17 [size =\"45953024\"]\n  16 [size=\"32272384\", alpha=\"0.12\", expect_size=\"16136192\"] \n  16 -> 17 [size =\"16136192\"]\n  17 [size=\"11098112\", alpha=\"0.05\", expect_size=\"5549056\"] \n  17 -> 18 [size =\"5549056\"]\n  17 -> 19 [size =\"5549056\"]\n  18 [size=\"41097216\", alpha=\"0.06\", expect_size=\"20548608\"] \n  18 -> 20 [size =\"20548608\"]\n  19 [size=\"85590016\", alpha=\"0.07\", expect_size=\"42795008\"] \n  20 [size=\"90675200\", alpha=\"0.18\", expect_size=\"45337600\"] \n  20 -> 21 [size =\"45337600\"]\n  20 -> 22 [size =\"45337600\"]\n  21 [size=\"65824768\", alpha=\"0.09\", expect_size=\"32912384\"] \n  21 -> 23 [size =\"32912384\"]\n  21 -> 24 [size =\"32912384\"]\n  22 [size=\"41076736\", alpha=\"0.12\", expect_size=\"20538368\"] \n  22 -> 23 [size =\"20538368\"]\n  22 -> 24 [size =\"20538368\"]\n  23 [size=\"46276608\", alpha=\"0.05\", expect_size=\"23138304\"] \n  24 [size=\"47804416\", alpha=\"0.06\", expect_size=\"23902208\"] \n  24 -> 25 [size =\"23902208\"]\n  25 [size=\"17047552\", alpha=\"0.01\", expect_size=\"8523776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15013888\", alpha=\"0.13\", expect_size=\"7506944\"] \n  1 -> 10 [size =\"7506944\"]\n  1 -> 11 [size =\"7506944\"]\n  1 -> 12 [size =\"7506944\"]\n  1 -> 14 [size =\"7506944\"]\n  1 -> 15 [size =\"7506944\"]\n  1 -> 16 [size =\"7506944\"]\n  2 [size=\"35457024\", alpha=\"0.19\", expect_size=\"17728512\"] \n  2 -> 9 [size =\"17728512\"]\n  2 -> 10 [size =\"17728512\"]\n  2 -> 11 [size =\"17728512\"]\n  2 -> 12 [size =\"17728512\"]\n  2 -> 14 [size =\"17728512\"]\n  2 -> 17 [size =\"17728512\"]\n  3 [size=\"88184832\", alpha=\"0.08\", expect_size=\"44092416\"] \n  3 -> 9 [size =\"44092416\"]\n  3 -> 10 [size =\"44092416\"]\n  3 -> 11 [size =\"44092416\"]\n  3 -> 14 [size =\"44092416\"]\n  3 -> 15 [size =\"44092416\"]\n  3 -> 17 [size =\"44092416\"]\n  4 [size=\"94056448\", alpha=\"0.20\", expect_size=\"47028224\"] \n  4 -> 9 [size =\"47028224\"]\n  4 -> 10 [size =\"47028224\"]\n  4 -> 11 [size =\"47028224\"]\n  4 -> 14 [size =\"47028224\"]\n  4 -> 15 [size =\"47028224\"]\n  4 -> 17 [size =\"47028224\"]\n  5 [size=\"20189184\", alpha=\"0.20\", expect_size=\"10094592\"] \n  5 -> 9 [size =\"10094592\"]\n  5 -> 10 [size =\"10094592\"]\n  5 -> 11 [size =\"10094592\"]\n  5 -> 12 [size =\"10094592\"]\n  5 -> 14 [size =\"10094592\"]\n  5 -> 17 [size =\"10094592\"]\n  6 [size=\"47169536\", alpha=\"0.06\", expect_size=\"23584768\"] \n  6 -> 9 [size =\"23584768\"]\n  6 -> 10 [size =\"23584768\"]\n  6 -> 11 [size =\"23584768\"]\n  6 -> 14 [size =\"23584768\"]\n  6 -> 15 [size =\"23584768\"]\n  6 -> 17 [size =\"23584768\"]\n  7 [size=\"98015232\", alpha=\"0.05\", expect_size=\"49007616\"] \n  7 -> 9 [size =\"49007616\"]\n  7 -> 10 [size =\"49007616\"]\n  7 -> 11 [size =\"49007616\"]\n  7 -> 12 [size =\"49007616\"]\n  7 -> 13 [size =\"49007616\"]\n  7 -> 14 [size =\"49007616\"]\n  7 -> 15 [size =\"49007616\"]\n  8 [size=\"97560576\", alpha=\"0.16\", expect_size=\"48780288\"] \n  8 -> 9 [size =\"48780288\"]\n  8 -> 11 [size =\"48780288\"]\n  8 -> 12 [size =\"48780288\"]\n  8 -> 12 [size =\"48780288\"]\n  8 -> 13 [size =\"48780288\"]\n  8 -> 14 [size =\"48780288\"]\n  9 [size=\"62597120\", alpha=\"0.17\", expect_size=\"31298560\"] \n  9 -> 19 [size =\"31298560\"]\n  9 -> 23 [size =\"31298560\"]\n  9 -> 25 [size =\"31298560\"]\n  10 [size=\"78968832\", alpha=\"0.15\", expect_size=\"39484416\"] \n  10 -> 20 [size =\"39484416\"]\n  11 [size=\"84639744\", alpha=\"0.19\", expect_size=\"42319872\"] \n  11 -> 20 [size =\"42319872\"]\n  11 -> 25 [size =\"42319872\"]\n  12 [size=\"52744192\", alpha=\"0.11\", expect_size=\"26372096\"] \n  12 -> 18 [size =\"26372096\"]\n  12 -> 20 [size =\"26372096\"]\n  12 -> 25 [size =\"26372096\"]\n  13 [size=\"49149952\", alpha=\"0.03\", expect_size=\"24574976\"] \n  13 -> 18 [size =\"24574976\"]\n  13 -> 20 [size =\"24574976\"]\n  13 -> 25 [size =\"24574976\"]\n  14 [size=\"85329920\", alpha=\"0.06\", expect_size=\"42664960\"] \n  14 -> 18 [size =\"42664960\"]\n  14 -> 19 [size =\"42664960\"]\n  14 -> 20 [size =\"42664960\"]\n  14 -> 21 [size =\"42664960\"]\n  14 -> 22 [size =\"42664960\"]\n  14 -> 24 [size =\"42664960\"]\n  14 -> 25 [size =\"42664960\"]\n  15 [size=\"84148224\", alpha=\"0.10\", expect_size=\"42074112\"] \n  15 -> 18 [size =\"42074112\"]\n  15 -> 20 [size =\"42074112\"]\n  15 -> 21 [size =\"42074112\"]\n  15 -> 22 [size =\"42074112\"]\n  15 -> 22 [size =\"42074112\"]\n  16 [size=\"82915328\", alpha=\"0.02\", expect_size=\"41457664\"] \n  16 -> 18 [size =\"41457664\"]\n  16 -> 22 [size =\"41457664\"]\n  17 [size=\"14850048\", alpha=\"0.04\", expect_size=\"7425024\"] \n  17 -> 19 [size =\"7425024\"]\n  17 -> 21 [size =\"7425024\"]\n  17 -> 22 [size =\"7425024\"]\n  17 -> 23 [size =\"7425024\"]\n  17 -> 25 [size =\"7425024\"]\n  18 [size=\"40087552\", alpha=\"0.09\", expect_size=\"20043776\"] \n  19 [size=\"21073920\", alpha=\"0.13\", expect_size=\"10536960\"] \n  20 [size=\"102770688\", alpha=\"0.19\", expect_size=\"51385344\"] \n  21 [size=\"78413824\", alpha=\"0.05\", expect_size=\"39206912\"] \n  22 [size=\"71385088\", alpha=\"0.17\", expect_size=\"35692544\"] \n  23 [size=\"29665280\", alpha=\"0.05\", expect_size=\"14832640\"] \n  24 [size=\"42055680\", alpha=\"0.11\", expect_size=\"21027840\"] \n  25 [size=\"71639040\", alpha=\"0.19\", expect_size=\"35819520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46888960\", alpha=\"0.09\", expect_size=\"18755584\"] \n  1 -> 2 [size =\"18755584\"]\n  2 [size=\"77969920\", alpha=\"0.11\", expect_size=\"31187968\"] \n  2 -> 3 [size =\"31187968\"]\n  2 -> 4 [size =\"31187968\"]\n  3 [size=\"60170240\", alpha=\"0.15\", expect_size=\"24068096\"] \n  3 -> 5 [size =\"24068096\"]\n  4 [size=\"126842880\", alpha=\"0.00\", expect_size=\"50737152\"] \n  4 -> 5 [size =\"50737152\"]\n  5 [size=\"70115840\", alpha=\"0.04\", expect_size=\"28046336\"] \n  5 -> 6 [size =\"28046336\"]\n  5 -> 7 [size =\"28046336\"]\n  6 [size=\"31288320\", alpha=\"0.16\", expect_size=\"12515328\"] \n  6 -> 8 [size =\"12515328\"]\n  7 [size=\"44288000\", alpha=\"0.00\", expect_size=\"17715200\"] \n  8 [size=\"53811200\", alpha=\"0.12\", expect_size=\"21524480\"] \n  8 -> 9 [size =\"21524480\"]\n  9 [size=\"79342080\", alpha=\"0.08\", expect_size=\"31736832\"] \n  9 -> 10 [size =\"31736832\"]\n  10 [size=\"77176320\", alpha=\"0.19\", expect_size=\"30870528\"] \n  10 -> 11 [size =\"30870528\"]\n  11 [size=\"21544960\", alpha=\"0.08\", expect_size=\"8617984\"] \n  11 -> 12 [size =\"8617984\"]\n  12 [size=\"73295360\", alpha=\"0.18\", expect_size=\"29318144\"] \n  12 -> 13 [size =\"29318144\"]\n  12 -> 14 [size =\"29318144\"]\n  13 [size=\"17553920\", alpha=\"0.03\", expect_size=\"7021568\"] \n  13 -> 15 [size =\"7021568\"]\n  14 [size=\"104714240\", alpha=\"0.01\", expect_size=\"41885696\"] \n  14 -> 15 [size =\"41885696\"]\n  15 [size=\"106792960\", alpha=\"0.05\", expect_size=\"42717184\"] \n  15 -> 16 [size =\"42717184\"]\n  15 -> 17 [size =\"42717184\"]\n  16 [size=\"15244800\", alpha=\"0.13\", expect_size=\"6097920\"] \n  16 -> 19 [size =\"6097920\"]\n  17 [size=\"107276800\", alpha=\"0.10\", expect_size=\"42910720\"] \n  17 -> 18 [size =\"42910720\"]\n  17 -> 19 [size =\"42910720\"]\n  18 [size=\"108203520\", alpha=\"0.18\", expect_size=\"43281408\"] \n  18 -> 20 [size =\"43281408\"]\n  19 [size=\"61754880\", alpha=\"0.19\", expect_size=\"24701952\"] \n  19 -> 21 [size =\"24701952\"]\n  20 [size=\"108823040\", alpha=\"0.01\", expect_size=\"43529216\"] \n  20 -> 22 [size =\"43529216\"]\n  21 [size=\"102215680\", alpha=\"0.09\", expect_size=\"40886272\"] \n  21 -> 22 [size =\"40886272\"]\n  22 [size=\"29585920\", alpha=\"0.08\", expect_size=\"11834368\"] \n  22 -> 23 [size =\"11834368\"]\n  22 -> 24 [size =\"11834368\"]\n  23 [size=\"20142080\", alpha=\"0.15\", expect_size=\"8056832\"] \n  23 -> 25 [size =\"8056832\"]\n  24 [size=\"37678080\", alpha=\"0.01\", expect_size=\"15071232\"] \n  25 [size=\"43758080\", alpha=\"0.17\", expect_size=\"17503232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139458560\", alpha=\"0.08\", expect_size=\"41837568\"] \n  1 -> 21 [size =\"41837568\"]\n  1 -> 24 [size =\"41837568\"]\n  2 [size=\"104161280\", alpha=\"0.06\", expect_size=\"31248384\"] \n  2 -> 20 [size =\"31248384\"]\n  3 [size=\"47496533\", alpha=\"0.02\", expect_size=\"14248960\"] \n  3 -> 19 [size =\"14248960\"]\n  3 -> 20 [size =\"14248960\"]\n  3 -> 21 [size =\"14248960\"]\n  3 -> 24 [size =\"14248960\"]\n  3 -> 25 [size =\"14248960\"]\n  4 [size=\"23654400\", alpha=\"0.08\", expect_size=\"7096320\"] \n  4 -> 19 [size =\"7096320\"]\n  4 -> 21 [size =\"7096320\"]\n  4 -> 23 [size =\"7096320\"]\n  4 -> 24 [size =\"7096320\"]\n  5 [size=\"90429440\", alpha=\"0.18\", expect_size=\"27128832\"] \n  5 -> 24 [size =\"27128832\"]\n  6 [size=\"104898560\", alpha=\"0.05\", expect_size=\"31469568\"] \n  6 -> 23 [size =\"31469568\"]\n  7 [size=\"30412800\", alpha=\"0.19\", expect_size=\"9123840\"] \n  7 -> 17 [size =\"9123840\"]\n  7 -> 20 [size =\"9123840\"]\n  8 [size=\"138359467\", alpha=\"0.04\", expect_size=\"41507840\"] \n  8 -> 17 [size =\"41507840\"]\n  8 -> 19 [size =\"41507840\"]\n  8 -> 20 [size =\"41507840\"]\n  8 -> 23 [size =\"41507840\"]\n  9 [size=\"120862720\", alpha=\"0.02\", expect_size=\"36258816\"] \n  9 -> 17 [size =\"36258816\"]\n  9 -> 18 [size =\"36258816\"]\n  9 -> 20 [size =\"36258816\"]\n  9 -> 23 [size =\"36258816\"]\n  9 -> 24 [size =\"36258816\"]\n  10 [size=\"40181760\", alpha=\"0.02\", expect_size=\"12054528\"] \n  10 -> 19 [size =\"12054528\"]\n  10 -> 21 [size =\"12054528\"]\n  10 -> 24 [size =\"12054528\"]\n  11 [size=\"123979093\", alpha=\"0.09\", expect_size=\"37193728\"] \n  11 -> 17 [size =\"37193728\"]\n  11 -> 19 [size =\"37193728\"]\n  12 [size=\"33495040\", alpha=\"0.13\", expect_size=\"10048512\"] \n  12 -> 19 [size =\"10048512\"]\n  12 -> 23 [size =\"10048512\"]\n  12 -> 24 [size =\"10048512\"]\n  13 [size=\"83572053\", alpha=\"0.06\", expect_size=\"25071616\"] \n  13 -> 18 [size =\"25071616\"]\n  13 -> 19 [size =\"25071616\"]\n  13 -> 23 [size =\"25071616\"]\n  14 [size=\"102164480\", alpha=\"0.06\", expect_size=\"30649344\"] \n  14 -> 17 [size =\"30649344\"]\n  14 -> 19 [size =\"30649344\"]\n  14 -> 21 [size =\"30649344\"]\n  14 -> 22 [size =\"30649344\"]\n  14 -> 23 [size =\"30649344\"]\n  15 [size=\"164686507\", alpha=\"0.05\", expect_size=\"49405952\"] \n  15 -> 19 [size =\"49405952\"]\n  15 -> 20 [size =\"49405952\"]\n  16 [size=\"150490453\", alpha=\"0.09\", expect_size=\"45147136\"] \n  16 -> 18 [size =\"45147136\"]\n  16 -> 20 [size =\"45147136\"]\n  16 -> 22 [size =\"45147136\"]\n  17 [size=\"35051520\", alpha=\"0.12\", expect_size=\"10515456\"] \n  18 [size=\"26210987\", alpha=\"0.19\", expect_size=\"7863296\"] \n  19 [size=\"56162987\", alpha=\"0.06\", expect_size=\"16848896\"] \n  20 [size=\"70591147\", alpha=\"0.01\", expect_size=\"21177344\"] \n  21 [size=\"86545067\", alpha=\"0.10\", expect_size=\"25963520\"] \n  22 [size=\"154859520\", alpha=\"0.11\", expect_size=\"46457856\"] \n  23 [size=\"99573760\", alpha=\"0.16\", expect_size=\"29872128\"] \n  24 [size=\"149445973\", alpha=\"0.01\", expect_size=\"44833792\"] \n  25 [size=\"41837227\", alpha=\"0.16\", expect_size=\"12551168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57369600\", alpha=\"0.16\", expect_size=\"22947840\"] \n  1 -> 23 [size =\"22947840\"]\n  2 [size=\"70469120\", alpha=\"0.08\", expect_size=\"28187648\"] \n  2 -> 23 [size =\"28187648\"]\n  2 -> 24 [size =\"28187648\"]\n  2 -> 25 [size =\"28187648\"]\n  3 [size=\"47825920\", alpha=\"0.03\", expect_size=\"19130368\"] \n  3 -> 23 [size =\"19130368\"]\n  4 [size=\"54909440\", alpha=\"0.20\", expect_size=\"21963776\"] \n  4 -> 22 [size =\"21963776\"]\n  4 -> 23 [size =\"21963776\"]\n  5 [size=\"64655360\", alpha=\"0.05\", expect_size=\"25862144\"] \n  5 -> 22 [size =\"25862144\"]\n  5 -> 24 [size =\"25862144\"]\n  6 [size=\"21685760\", alpha=\"0.02\", expect_size=\"8674304\"] \n  6 -> 25 [size =\"8674304\"]\n  7 [size=\"97277440\", alpha=\"0.07\", expect_size=\"38910976\"] \n  7 -> 23 [size =\"38910976\"]\n  8 [size=\"130506240\", alpha=\"0.13\", expect_size=\"52202496\"] \n  8 -> 23 [size =\"52202496\"]\n  8 -> 24 [size =\"52202496\"]\n  8 -> 25 [size =\"52202496\"]\n  9 [size=\"20037120\", alpha=\"0.05\", expect_size=\"8014848\"] \n  9 -> 23 [size =\"8014848\"]\n  9 -> 25 [size =\"8014848\"]\n  10 [size=\"101693440\", alpha=\"0.20\", expect_size=\"40677376\"] \n  10 -> 23 [size =\"40677376\"]\n  10 -> 25 [size =\"40677376\"]\n  11 [size=\"25646080\", alpha=\"0.19\", expect_size=\"10258432\"] \n  11 -> 25 [size =\"10258432\"]\n  11 -> 25 [size =\"10258432\"]\n  12 [size=\"118661120\", alpha=\"0.07\", expect_size=\"47464448\"] \n  12 -> 23 [size =\"47464448\"]\n  12 -> 24 [size =\"47464448\"]\n  13 [size=\"48268800\", alpha=\"0.14\", expect_size=\"19307520\"] \n  13 -> 22 [size =\"19307520\"]\n  14 [size=\"63710720\", alpha=\"0.10\", expect_size=\"25484288\"] \n  14 -> 24 [size =\"25484288\"]\n  14 -> 25 [size =\"25484288\"]\n  15 [size=\"62937600\", alpha=\"0.07\", expect_size=\"25175040\"] \n  15 -> 24 [size =\"25175040\"]\n  15 -> 25 [size =\"25175040\"]\n  16 [size=\"94041600\", alpha=\"0.08\", expect_size=\"37616640\"] \n  16 -> 23 [size =\"37616640\"]\n  17 [size=\"103288320\", alpha=\"0.13\", expect_size=\"41315328\"] \n  17 -> 22 [size =\"41315328\"]\n  18 [size=\"24901120\", alpha=\"0.19\", expect_size=\"9960448\"] \n  18 -> 25 [size =\"9960448\"]\n  19 [size=\"99450880\", alpha=\"0.13\", expect_size=\"39780352\"] \n  19 -> 23 [size =\"39780352\"]\n  19 -> 25 [size =\"39780352\"]\n  20 [size=\"129623040\", alpha=\"0.12\", expect_size=\"51849216\"] \n  21 [size=\"126950400\", alpha=\"0.17\", expect_size=\"50780160\"] \n  21 -> 23 [size =\"50780160\"]\n  21 -> 25 [size =\"50780160\"]\n  22 [size=\"120404480\", alpha=\"0.13\", expect_size=\"48161792\"] \n  23 [size=\"46494720\", alpha=\"0.14\", expect_size=\"18597888\"] \n  24 [size=\"129372160\", alpha=\"0.03\", expect_size=\"51748864\"] \n  25 [size=\"69593600\", alpha=\"0.00\", expect_size=\"27837440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93518507\", alpha=\"0.13\", expect_size=\"28055552\"] \n  1 -> 18 [size =\"28055552\"]\n  1 -> 22 [size =\"28055552\"]\n  2 [size=\"163932160\", alpha=\"0.10\", expect_size=\"49179648\"] \n  2 -> 21 [size =\"49179648\"]\n  2 -> 22 [size =\"49179648\"]\n  2 -> 24 [size =\"49179648\"]\n  3 [size=\"81780053\", alpha=\"0.03\", expect_size=\"24534016\"] \n  3 -> 24 [size =\"24534016\"]\n  4 [size=\"124747093\", alpha=\"0.02\", expect_size=\"37424128\"] \n  4 -> 19 [size =\"37424128\"]\n  4 -> 20 [size =\"37424128\"]\n  4 -> 21 [size =\"37424128\"]\n  4 -> 22 [size =\"37424128\"]\n  5 [size=\"84220587\", alpha=\"0.13\", expect_size=\"25266176\"] \n  5 -> 19 [size =\"25266176\"]\n  5 -> 23 [size =\"25266176\"]\n  6 [size=\"112749227\", alpha=\"0.18\", expect_size=\"33824768\"] \n  6 -> 17 [size =\"33824768\"]\n  6 -> 18 [size =\"33824768\"]\n  6 -> 19 [size =\"33824768\"]\n  6 -> 22 [size =\"33824768\"]\n  7 [size=\"74581333\", alpha=\"0.05\", expect_size=\"22374400\"] \n  7 -> 19 [size =\"22374400\"]\n  7 -> 20 [size =\"22374400\"]\n  7 -> 21 [size =\"22374400\"]\n  7 -> 22 [size =\"22374400\"]\n  7 -> 25 [size =\"22374400\"]\n  8 [size=\"55637333\", alpha=\"0.12\", expect_size=\"16691200\"] \n  8 -> 18 [size =\"16691200\"]\n  8 -> 19 [size =\"16691200\"]\n  8 -> 20 [size =\"16691200\"]\n  8 -> 23 [size =\"16691200\"]\n  9 [size=\"93579947\", alpha=\"0.19\", expect_size=\"28073984\"] \n  9 -> 19 [size =\"28073984\"]\n  9 -> 23 [size =\"28073984\"]\n  10 [size=\"156627627\", alpha=\"0.08\", expect_size=\"46988288\"] \n  10 -> 23 [size =\"46988288\"]\n  11 [size=\"106625707\", alpha=\"0.00\", expect_size=\"31987712\"] \n  11 -> 23 [size =\"31987712\"]\n  12 [size=\"52736000\", alpha=\"0.03\", expect_size=\"15820800\"] \n  12 -> 17 [size =\"15820800\"]\n  12 -> 19 [size =\"15820800\"]\n  13 [size=\"130505387\", alpha=\"0.03\", expect_size=\"39151616\"] \n  13 -> 18 [size =\"39151616\"]\n  13 -> 22 [size =\"39151616\"]\n  13 -> 23 [size =\"39151616\"]\n  14 [size=\"154316800\", alpha=\"0.15\", expect_size=\"46295040\"] \n  14 -> 21 [size =\"46295040\"]\n  15 [size=\"169919147\", alpha=\"0.11\", expect_size=\"50975744\"] \n  16 [size=\"111714987\", alpha=\"0.20\", expect_size=\"33514496\"] \n  16 -> 22 [size =\"33514496\"]\n  17 [size=\"96972800\", alpha=\"0.07\", expect_size=\"29091840\"] \n  18 [size=\"135802880\", alpha=\"0.13\", expect_size=\"40740864\"] \n  19 [size=\"72611840\", alpha=\"0.15\", expect_size=\"21783552\"] \n  20 [size=\"64904533\", alpha=\"0.09\", expect_size=\"19471360\"] \n  21 [size=\"126621013\", alpha=\"0.12\", expect_size=\"37986304\"] \n  22 [size=\"127187627\", alpha=\"0.13\", expect_size=\"38156288\"] \n  23 [size=\"152244907\", alpha=\"0.03\", expect_size=\"45673472\"] \n  24 [size=\"20684800\", alpha=\"0.07\", expect_size=\"6205440\"] \n  25 [size=\"140847787\", alpha=\"0.18\", expect_size=\"42254336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109359787\", alpha=\"0.03\", expect_size=\"32807936\"] \n  1 -> 5 [size =\"32807936\"]\n  1 -> 6 [size =\"32807936\"]\n  1 -> 7 [size =\"32807936\"]\n  1 -> 8 [size =\"32807936\"]\n  2 [size=\"44202667\", alpha=\"0.18\", expect_size=\"13260800\"] \n  2 -> 6 [size =\"13260800\"]\n  2 -> 7 [size =\"13260800\"]\n  2 -> 8 [size =\"13260800\"]\n  2 -> 8 [size =\"13260800\"]\n  3 [size=\"127921493\", alpha=\"0.04\", expect_size=\"38376448\"] \n  3 -> 5 [size =\"38376448\"]\n  3 -> 6 [size =\"38376448\"]\n  3 -> 7 [size =\"38376448\"]\n  3 -> 8 [size =\"38376448\"]\n  4 [size=\"94924800\", alpha=\"0.06\", expect_size=\"28477440\"] \n  4 -> 5 [size =\"28477440\"]\n  4 -> 6 [size =\"28477440\"]\n  4 -> 7 [size =\"28477440\"]\n  5 [size=\"132126720\", alpha=\"0.09\", expect_size=\"39638016\"] \n  5 -> 10 [size =\"39638016\"]\n  6 [size=\"41243307\", alpha=\"0.14\", expect_size=\"12372992\"] \n  6 -> 9 [size =\"12372992\"]\n  7 [size=\"26115413\", alpha=\"0.10\", expect_size=\"7834624\"] \n  7 -> 10 [size =\"7834624\"]\n  8 [size=\"117101227\", alpha=\"0.18\", expect_size=\"35130368\"] \n  8 -> 9 [size =\"35130368\"]\n  9 [size=\"63173973\", alpha=\"0.20\", expect_size=\"18952192\"] \n  9 -> 12 [size =\"18952192\"]\n  9 -> 13 [size =\"18952192\"]\n  10 [size=\"102519467\", alpha=\"0.17\", expect_size=\"30755840\"] \n  10 -> 11 [size =\"30755840\"]\n  11 [size=\"161672533\", alpha=\"0.07\", expect_size=\"48501760\"] \n  11 -> 14 [size =\"48501760\"]\n  11 -> 15 [size =\"48501760\"]\n  11 -> 17 [size =\"48501760\"]\n  12 [size=\"31368533\", alpha=\"0.07\", expect_size=\"9410560\"] \n  12 -> 14 [size =\"9410560\"]\n  12 -> 15 [size =\"9410560\"]\n  12 -> 16 [size =\"9410560\"]\n  12 -> 17 [size =\"9410560\"]\n  13 [size=\"172997973\", alpha=\"0.16\", expect_size=\"51899392\"] \n  13 -> 14 [size =\"51899392\"]\n  13 -> 17 [size =\"51899392\"]\n  14 [size=\"47377067\", alpha=\"0.18\", expect_size=\"14213120\"] \n  14 -> 18 [size =\"14213120\"]\n  14 -> 19 [size =\"14213120\"]\n  14 -> 21 [size =\"14213120\"]\n  15 [size=\"98317653\", alpha=\"0.08\", expect_size=\"29495296\"] \n  15 -> 20 [size =\"29495296\"]\n  16 [size=\"172810240\", alpha=\"0.08\", expect_size=\"51843072\"] \n  16 -> 19 [size =\"51843072\"]\n  16 -> 20 [size =\"51843072\"]\n  16 -> 21 [size =\"51843072\"]\n  17 [size=\"129293653\", alpha=\"0.16\", expect_size=\"38788096\"] \n  17 -> 20 [size =\"38788096\"]\n  17 -> 21 [size =\"38788096\"]\n  17 -> 21 [size =\"38788096\"]\n  17 -> 22 [size =\"38788096\"]\n  18 [size=\"52664320\", alpha=\"0.06\", expect_size=\"15799296\"] \n  18 -> 24 [size =\"15799296\"]\n  19 [size=\"35744427\", alpha=\"0.06\", expect_size=\"10723328\"] \n  19 -> 23 [size =\"10723328\"]\n  19 -> 24 [size =\"10723328\"]\n  20 [size=\"32556373\", alpha=\"0.17\", expect_size=\"9766912\"] \n  20 -> 24 [size =\"9766912\"]\n  21 [size=\"166396587\", alpha=\"0.20\", expect_size=\"49918976\"] \n  21 -> 24 [size =\"49918976\"]\n  21 -> 25 [size =\"49918976\"]\n  22 [size=\"67140267\", alpha=\"0.06\", expect_size=\"20142080\"] \n  22 -> 24 [size =\"20142080\"]\n  23 [size=\"125767680\", alpha=\"0.06\", expect_size=\"37730304\"] \n  24 [size=\"90876587\", alpha=\"0.16\", expect_size=\"27262976\"] \n  25 [size=\"76731733\", alpha=\"0.00\", expect_size=\"23019520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95326720\", alpha=\"0.08\", expect_size=\"38130688\"] \n  1 -> 20 [size =\"38130688\"]\n  1 -> 23 [size =\"38130688\"]\n  2 [size=\"50626560\", alpha=\"0.14\", expect_size=\"20250624\"] \n  2 -> 21 [size =\"20250624\"]\n  3 [size=\"88040960\", alpha=\"0.14\", expect_size=\"35216384\"] \n  3 -> 22 [size =\"35216384\"]\n  4 [size=\"52628480\", alpha=\"0.06\", expect_size=\"21051392\"] \n  4 -> 20 [size =\"21051392\"]\n  5 [size=\"118968320\", alpha=\"0.17\", expect_size=\"47587328\"] \n  5 -> 23 [size =\"47587328\"]\n  5 -> 24 [size =\"47587328\"]\n  6 [size=\"33262080\", alpha=\"0.11\", expect_size=\"13304832\"] \n  7 [size=\"32245760\", alpha=\"0.11\", expect_size=\"12898304\"] \n  7 -> 20 [size =\"12898304\"]\n  8 [size=\"100262400\", alpha=\"0.01\", expect_size=\"40104960\"] \n  8 -> 20 [size =\"40104960\"]\n  9 [size=\"52856320\", alpha=\"0.17\", expect_size=\"21142528\"] \n  9 -> 20 [size =\"21142528\"]\n  10 [size=\"90588160\", alpha=\"0.14\", expect_size=\"36235264\"] \n  10 -> 20 [size =\"36235264\"]\n  10 -> 23 [size =\"36235264\"]\n  11 [size=\"130411520\", alpha=\"0.02\", expect_size=\"52164608\"] \n  12 [size=\"59297280\", alpha=\"0.04\", expect_size=\"23718912\"] \n  13 [size=\"21409280\", alpha=\"0.01\", expect_size=\"8563712\"] \n  13 -> 20 [size =\"8563712\"]\n  13 -> 22 [size =\"8563712\"]\n  14 [size=\"103303680\", alpha=\"0.15\", expect_size=\"41321472\"] \n  14 -> 25 [size =\"41321472\"]\n  15 [size=\"22149120\", alpha=\"0.18\", expect_size=\"8859648\"] \n  15 -> 20 [size =\"8859648\"]\n  15 -> 21 [size =\"8859648\"]\n  16 [size=\"123957760\", alpha=\"0.02\", expect_size=\"49583104\"] \n  16 -> 20 [size =\"49583104\"]\n  17 [size=\"72220160\", alpha=\"0.14\", expect_size=\"28888064\"] \n  17 -> 23 [size =\"28888064\"]\n  18 [size=\"21160960\", alpha=\"0.18\", expect_size=\"8464384\"] \n  18 -> 20 [size =\"8464384\"]\n  18 -> 21 [size =\"8464384\"]\n  18 -> 23 [size =\"8464384\"]\n  19 [size=\"24222720\", alpha=\"0.16\", expect_size=\"9689088\"] \n  20 [size=\"122519040\", alpha=\"0.09\", expect_size=\"49007616\"] \n  21 [size=\"88307200\", alpha=\"0.16\", expect_size=\"35322880\"] \n  22 [size=\"100554240\", alpha=\"0.09\", expect_size=\"40221696\"] \n  23 [size=\"124876800\", alpha=\"0.15\", expect_size=\"49950720\"] \n  24 [size=\"131038720\", alpha=\"0.08\", expect_size=\"52415488\"] \n  25 [size=\"102917120\", alpha=\"0.19\", expect_size=\"41166848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53585920\", alpha=\"0.19\", expect_size=\"21434368\"] \n  1 -> 3 [size =\"21434368\"]\n  2 [size=\"88483840\", alpha=\"0.12\", expect_size=\"35393536\"] \n  3 [size=\"39104000\", alpha=\"0.07\", expect_size=\"15641600\"] \n  3 -> 4 [size =\"15641600\"]\n  4 [size=\"127306240\", alpha=\"0.11\", expect_size=\"50922496\"] \n  4 -> 5 [size =\"50922496\"]\n  4 -> 6 [size =\"50922496\"]\n  5 [size=\"82700800\", alpha=\"0.06\", expect_size=\"33080320\"] \n  5 -> 8 [size =\"33080320\"]\n  6 [size=\"122992640\", alpha=\"0.00\", expect_size=\"49197056\"] \n  6 -> 7 [size =\"49197056\"]\n  7 [size=\"112995840\", alpha=\"0.15\", expect_size=\"45198336\"] \n  7 -> 9 [size =\"45198336\"]\n  8 [size=\"98240000\", alpha=\"0.02\", expect_size=\"39296000\"] \n  8 -> 10 [size =\"39296000\"]\n  9 [size=\"127357440\", alpha=\"0.07\", expect_size=\"50942976\"] \n  9 -> 11 [size =\"50942976\"]\n  10 [size=\"88117760\", alpha=\"0.13\", expect_size=\"35247104\"] \n  10 -> 12 [size =\"35247104\"]\n  11 [size=\"19891200\", alpha=\"0.02\", expect_size=\"7956480\"] \n  12 [size=\"13184000\", alpha=\"0.14\", expect_size=\"5273600\"] \n  12 -> 13 [size =\"5273600\"]\n  12 -> 14 [size =\"5273600\"]\n  13 [size=\"83816960\", alpha=\"0.17\", expect_size=\"33526784\"] \n  13 -> 15 [size =\"33526784\"]\n  13 -> 16 [size =\"33526784\"]\n  14 [size=\"126602240\", alpha=\"0.04\", expect_size=\"50640896\"] \n  15 [size=\"75668480\", alpha=\"0.17\", expect_size=\"30267392\"] \n  16 [size=\"111106560\", alpha=\"0.16\", expect_size=\"44442624\"] \n  16 -> 17 [size =\"44442624\"]\n  17 [size=\"113105920\", alpha=\"0.09\", expect_size=\"45242368\"] \n  17 -> 18 [size =\"45242368\"]\n  18 [size=\"83443200\", alpha=\"0.15\", expect_size=\"33377280\"] \n  18 -> 19 [size =\"33377280\"]\n  19 [size=\"96064000\", alpha=\"0.05\", expect_size=\"38425600\"] \n  19 -> 20 [size =\"38425600\"]\n  20 [size=\"19901440\", alpha=\"0.01\", expect_size=\"7960576\"] \n  20 -> 21 [size =\"7960576\"]\n  20 -> 22 [size =\"7960576\"]\n  21 [size=\"97804800\", alpha=\"0.05\", expect_size=\"39121920\"] \n  22 [size=\"108198400\", alpha=\"0.01\", expect_size=\"43279360\"] \n  22 -> 23 [size =\"43279360\"]\n  23 [size=\"73523200\", alpha=\"0.02\", expect_size=\"29409280\"] \n  23 -> 24 [size =\"29409280\"]\n  24 [size=\"58065920\", alpha=\"0.03\", expect_size=\"23226368\"] \n  24 -> 25 [size =\"23226368\"]\n  25 [size=\"79918080\", alpha=\"0.15\", expect_size=\"31967232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28270592\", alpha=\"0.09\", expect_size=\"14135296\"] \n  1 -> 2 [size =\"14135296\"]\n  2 [size=\"70805504\", alpha=\"0.05\", expect_size=\"35402752\"] \n  2 -> 3 [size =\"35402752\"]\n  2 -> 4 [size =\"35402752\"]\n  3 [size=\"85188608\", alpha=\"0.15\", expect_size=\"42594304\"] \n  3 -> 5 [size =\"42594304\"]\n  4 [size=\"43747328\", alpha=\"0.18\", expect_size=\"21873664\"] \n  4 -> 5 [size =\"21873664\"]\n  5 [size=\"24565760\", alpha=\"0.14\", expect_size=\"12282880\"] \n  5 -> 6 [size =\"12282880\"]\n  5 -> 7 [size =\"12282880\"]\n  6 [size=\"48449536\", alpha=\"0.19\", expect_size=\"24224768\"] \n  6 -> 8 [size =\"24224768\"]\n  7 [size=\"70944768\", alpha=\"0.03\", expect_size=\"35472384\"] \n  7 -> 8 [size =\"35472384\"]\n  8 [size=\"85053440\", alpha=\"0.11\", expect_size=\"42526720\"] \n  8 -> 9 [size =\"42526720\"]\n  8 -> 10 [size =\"42526720\"]\n  9 [size=\"25563136\", alpha=\"0.06\", expect_size=\"12781568\"] \n  9 -> 11 [size =\"12781568\"]\n  10 [size=\"43157504\", alpha=\"0.13\", expect_size=\"21578752\"] \n  11 [size=\"23506944\", alpha=\"0.12\", expect_size=\"11753472\"] \n  11 -> 12 [size =\"11753472\"]\n  12 [size=\"67227648\", alpha=\"0.02\", expect_size=\"33613824\"] \n  12 -> 13 [size =\"33613824\"]\n  13 [size=\"89470976\", alpha=\"0.02\", expect_size=\"44735488\"] \n  13 -> 14 [size =\"44735488\"]\n  14 [size=\"66840576\", alpha=\"0.04\", expect_size=\"33420288\"] \n  14 -> 15 [size =\"33420288\"]\n  15 [size=\"59283456\", alpha=\"0.06\", expect_size=\"29641728\"] \n  15 -> 16 [size =\"29641728\"]\n  16 [size=\"29130752\", alpha=\"0.05\", expect_size=\"14565376\"] \n  16 -> 17 [size =\"14565376\"]\n  17 [size=\"23844864\", alpha=\"0.04\", expect_size=\"11922432\"] \n  17 -> 18 [size =\"11922432\"]\n  18 [size=\"38084608\", alpha=\"0.03\", expect_size=\"19042304\"] \n  18 -> 19 [size =\"19042304\"]\n  19 [size=\"90859520\", alpha=\"0.03\", expect_size=\"45429760\"] \n  19 -> 20 [size =\"45429760\"]\n  19 -> 21 [size =\"45429760\"]\n  20 [size=\"22634496\", alpha=\"0.05\", expect_size=\"11317248\"] \n  21 [size=\"84187136\", alpha=\"0.10\", expect_size=\"42093568\"] \n  21 -> 22 [size =\"42093568\"]\n  22 [size=\"47706112\", alpha=\"0.09\", expect_size=\"23853056\"] \n  22 -> 23 [size =\"23853056\"]\n  23 [size=\"55658496\", alpha=\"0.03\", expect_size=\"27829248\"] \n  23 -> 24 [size =\"27829248\"]\n  24 [size=\"63799296\", alpha=\"0.04\", expect_size=\"31899648\"] \n  24 -> 25 [size =\"31899648\"]\n  25 [size=\"80644096\", alpha=\"0.08\", expect_size=\"40322048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51220480\", alpha=\"0.04\", expect_size=\"25610240\"] \n  1 -> 2 [size =\"25610240\"]\n  2 [size=\"28409856\", alpha=\"0.12\", expect_size=\"14204928\"] \n  2 -> 3 [size =\"14204928\"]\n  3 [size=\"57454592\", alpha=\"0.20\", expect_size=\"28727296\"] \n  3 -> 4 [size =\"28727296\"]\n  4 [size=\"73607168\", alpha=\"0.14\", expect_size=\"36803584\"] \n  4 -> 5 [size =\"36803584\"]\n  5 [size=\"77621248\", alpha=\"0.01\", expect_size=\"38810624\"] \n  5 -> 6 [size =\"38810624\"]\n  6 [size=\"47409152\", alpha=\"0.00\", expect_size=\"23704576\"] \n  6 -> 7 [size =\"23704576\"]\n  7 [size=\"76519424\", alpha=\"0.07\", expect_size=\"38259712\"] \n  7 -> 8 [size =\"38259712\"]\n  8 [size=\"25477120\", alpha=\"0.01\", expect_size=\"12738560\"] \n  8 -> 9 [size =\"12738560\"]\n  9 [size=\"23887872\", alpha=\"0.00\", expect_size=\"11943936\"] \n  9 -> 10 [size =\"11943936\"]\n  10 [size=\"99272704\", alpha=\"0.04\", expect_size=\"49636352\"] \n  10 -> 11 [size =\"49636352\"]\n  11 [size=\"61560832\", alpha=\"0.07\", expect_size=\"30780416\"] \n  11 -> 12 [size =\"30780416\"]\n  12 [size=\"78991360\", alpha=\"0.15\", expect_size=\"39495680\"] \n  12 -> 13 [size =\"39495680\"]\n  13 [size=\"39979008\", alpha=\"0.12\", expect_size=\"19989504\"] \n  13 -> 14 [size =\"19989504\"]\n  14 [size=\"38897664\", alpha=\"0.02\", expect_size=\"19448832\"] \n  14 -> 15 [size =\"19448832\"]\n  15 [size=\"103356416\", alpha=\"0.10\", expect_size=\"51678208\"] \n  15 -> 16 [size =\"51678208\"]\n  16 [size=\"12009472\", alpha=\"0.11\", expect_size=\"6004736\"] \n  16 -> 17 [size =\"6004736\"]\n  17 [size=\"12470272\", alpha=\"0.13\", expect_size=\"6235136\"] \n  17 -> 18 [size =\"6235136\"]\n  18 [size=\"46174208\", alpha=\"0.07\", expect_size=\"23087104\"] \n  18 -> 19 [size =\"23087104\"]\n  19 [size=\"52908032\", alpha=\"0.14\", expect_size=\"26454016\"] \n  19 -> 20 [size =\"26454016\"]\n  20 [size=\"53561344\", alpha=\"0.19\", expect_size=\"26780672\"] \n  20 -> 21 [size =\"26780672\"]\n  21 [size=\"73506816\", alpha=\"0.12\", expect_size=\"36753408\"] \n  21 -> 22 [size =\"36753408\"]\n  22 [size=\"13611008\", alpha=\"0.10\", expect_size=\"6805504\"] \n  22 -> 23 [size =\"6805504\"]\n  23 [size=\"84561920\", alpha=\"0.17\", expect_size=\"42280960\"] \n  23 -> 24 [size =\"42280960\"]\n  24 [size=\"49082368\", alpha=\"0.18\", expect_size=\"24541184\"] \n  24 -> 25 [size =\"24541184\"]\n  25 [size=\"60868608\", alpha=\"0.12\", expect_size=\"30434304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18739200\", alpha=\"0.10\", expect_size=\"5621760\"] \n  1 -> 13 [size =\"5621760\"]\n  1 -> 15 [size =\"5621760\"]\n  1 -> 16 [size =\"5621760\"]\n  1 -> 18 [size =\"5621760\"]\n  1 -> 19 [size =\"5621760\"]\n  1 -> 22 [size =\"5621760\"]\n  2 [size=\"39089493\", alpha=\"0.09\", expect_size=\"11726848\"] \n  2 -> 13 [size =\"11726848\"]\n  2 -> 14 [size =\"11726848\"]\n  2 -> 17 [size =\"11726848\"]\n  2 -> 18 [size =\"11726848\"]\n  2 -> 22 [size =\"11726848\"]\n  2 -> 23 [size =\"11726848\"]\n  3 [size=\"90108587\", alpha=\"0.15\", expect_size=\"27032576\"] \n  3 -> 13 [size =\"27032576\"]\n  3 -> 14 [size =\"27032576\"]\n  3 -> 18 [size =\"27032576\"]\n  3 -> 21 [size =\"27032576\"]\n  3 -> 22 [size =\"27032576\"]\n  3 -> 23 [size =\"27032576\"]\n  4 [size=\"143162027\", alpha=\"0.12\", expect_size=\"42948608\"] \n  4 -> 14 [size =\"42948608\"]\n  4 -> 14 [size =\"42948608\"]\n  4 -> 17 [size =\"42948608\"]\n  4 -> 18 [size =\"42948608\"]\n  4 -> 20 [size =\"42948608\"]\n  4 -> 21 [size =\"42948608\"]\n  4 -> 22 [size =\"42948608\"]\n  4 -> 23 [size =\"42948608\"]\n  5 [size=\"70741333\", alpha=\"0.19\", expect_size=\"21222400\"] \n  5 -> 14 [size =\"21222400\"]\n  5 -> 18 [size =\"21222400\"]\n  5 -> 19 [size =\"21222400\"]\n  5 -> 20 [size =\"21222400\"]\n  5 -> 21 [size =\"21222400\"]\n  5 -> 21 [size =\"21222400\"]\n  5 -> 22 [size =\"21222400\"]\n  5 -> 23 [size =\"21222400\"]\n  6 [size=\"56306347\", alpha=\"0.00\", expect_size=\"16891904\"] \n  6 -> 14 [size =\"16891904\"]\n  6 -> 16 [size =\"16891904\"]\n  6 -> 18 [size =\"16891904\"]\n  6 -> 19 [size =\"16891904\"]\n  6 -> 20 [size =\"16891904\"]\n  6 -> 21 [size =\"16891904\"]\n  6 -> 22 [size =\"16891904\"]\n  7 [size=\"109557760\", alpha=\"0.05\", expect_size=\"32867328\"] \n  7 -> 15 [size =\"32867328\"]\n  7 -> 16 [size =\"32867328\"]\n  7 -> 17 [size =\"32867328\"]\n  7 -> 18 [size =\"32867328\"]\n  7 -> 20 [size =\"32867328\"]\n  8 [size=\"88715947\", alpha=\"0.18\", expect_size=\"26614784\"] \n  8 -> 13 [size =\"26614784\"]\n  8 -> 14 [size =\"26614784\"]\n  8 -> 16 [size =\"26614784\"]\n  8 -> 17 [size =\"26614784\"]\n  8 -> 18 [size =\"26614784\"]\n  8 -> 20 [size =\"26614784\"]\n  8 -> 22 [size =\"26614784\"]\n  8 -> 23 [size =\"26614784\"]\n  8 -> 25 [size =\"26614784\"]\n  9 [size=\"108861440\", alpha=\"0.07\", expect_size=\"32658432\"] \n  9 -> 13 [size =\"32658432\"]\n  9 -> 14 [size =\"32658432\"]\n  9 -> 17 [size =\"32658432\"]\n  9 -> 17 [size =\"32658432\"]\n  9 -> 22 [size =\"32658432\"]\n  10 [size=\"99737600\", alpha=\"0.08\", expect_size=\"29921280\"] \n  10 -> 13 [size =\"29921280\"]\n  10 -> 14 [size =\"29921280\"]\n  10 -> 16 [size =\"29921280\"]\n  10 -> 17 [size =\"29921280\"]\n  10 -> 18 [size =\"29921280\"]\n  10 -> 22 [size =\"29921280\"]\n  11 [size=\"70365867\", alpha=\"0.14\", expect_size=\"21109760\"] \n  11 -> 13 [size =\"21109760\"]\n  11 -> 14 [size =\"21109760\"]\n  11 -> 15 [size =\"21109760\"]\n  11 -> 17 [size =\"21109760\"]\n  11 -> 18 [size =\"21109760\"]\n  11 -> 20 [size =\"21109760\"]\n  11 -> 22 [size =\"21109760\"]\n  11 -> 24 [size =\"21109760\"]\n  12 [size=\"148698453\", alpha=\"0.19\", expect_size=\"44609536\"] \n  12 -> 13 [size =\"44609536\"]\n  12 -> 18 [size =\"44609536\"]\n  12 -> 20 [size =\"44609536\"]\n  12 -> 21 [size =\"44609536\"]\n  12 -> 22 [size =\"44609536\"]\n  13 [size=\"61399040\", alpha=\"0.06\", expect_size=\"18419712\"] \n  14 [size=\"21469867\", alpha=\"0.18\", expect_size=\"6440960\"] \n  15 [size=\"118473387\", alpha=\"0.16\", expect_size=\"35542016\"] \n  16 [size=\"109892267\", alpha=\"0.13\", expect_size=\"32967680\"] \n  17 [size=\"113602560\", alpha=\"0.11\", expect_size=\"34080768\"] \n  18 [size=\"156573013\", alpha=\"0.02\", expect_size=\"46971904\"] \n  19 [size=\"139021653\", alpha=\"0.14\", expect_size=\"41706496\"] \n  20 [size=\"40222720\", alpha=\"0.10\", expect_size=\"12066816\"] \n  21 [size=\"102307840\", alpha=\"0.07\", expect_size=\"30692352\"] \n  22 [size=\"55777280\", alpha=\"0.06\", expect_size=\"16733184\"] \n  23 [size=\"50496853\", alpha=\"0.14\", expect_size=\"15149056\"] \n  24 [size=\"99723947\", alpha=\"0.19\", expect_size=\"29917184\"] \n  25 [size=\"87309653\", alpha=\"0.10\", expect_size=\"26192896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81096704\", alpha=\"0.14\", expect_size=\"40548352\"] \n  1 -> 3 [size =\"40548352\"]\n  2 [size=\"11143168\", alpha=\"0.04\", expect_size=\"5571584\"] \n  2 -> 3 [size =\"5571584\"]\n  3 [size=\"58511360\", alpha=\"0.20\", expect_size=\"29255680\"] \n  3 -> 4 [size =\"29255680\"]\n  3 -> 5 [size =\"29255680\"]\n  4 [size=\"100665344\", alpha=\"0.13\", expect_size=\"50332672\"] \n  4 -> 6 [size =\"50332672\"]\n  5 [size=\"14080000\", alpha=\"0.15\", expect_size=\"7040000\"] \n  6 [size=\"71712768\", alpha=\"0.03\", expect_size=\"35856384\"] \n  6 -> 7 [size =\"35856384\"]\n  7 [size=\"31672320\", alpha=\"0.03\", expect_size=\"15836160\"] \n  7 -> 8 [size =\"15836160\"]\n  7 -> 9 [size =\"15836160\"]\n  8 [size=\"85331968\", alpha=\"0.08\", expect_size=\"42665984\"] \n  8 -> 10 [size =\"42665984\"]\n  8 -> 11 [size =\"42665984\"]\n  9 [size=\"96436224\", alpha=\"0.13\", expect_size=\"48218112\"] \n  9 -> 10 [size =\"48218112\"]\n  10 [size=\"31825920\", alpha=\"0.09\", expect_size=\"15912960\"] \n  10 -> 12 [size =\"15912960\"]\n  11 [size=\"104247296\", alpha=\"0.15\", expect_size=\"52123648\"] \n  11 -> 12 [size =\"52123648\"]\n  12 [size=\"77852672\", alpha=\"0.19\", expect_size=\"38926336\"] \n  12 -> 13 [size =\"38926336\"]\n  12 -> 14 [size =\"38926336\"]\n  13 [size=\"95135744\", alpha=\"0.06\", expect_size=\"47567872\"] \n  13 -> 15 [size =\"47567872\"]\n  14 [size=\"93804544\", alpha=\"0.16\", expect_size=\"46902272\"] \n  15 [size=\"59166720\", alpha=\"0.02\", expect_size=\"29583360\"] \n  15 -> 16 [size =\"29583360\"]\n  16 [size=\"37345280\", alpha=\"0.17\", expect_size=\"18672640\"] \n  16 -> 17 [size =\"18672640\"]\n  17 [size=\"49670144\", alpha=\"0.11\", expect_size=\"24835072\"] \n  17 -> 18 [size =\"24835072\"]\n  18 [size=\"64835584\", alpha=\"0.05\", expect_size=\"32417792\"] \n  18 -> 19 [size =\"32417792\"]\n  19 [size=\"104482816\", alpha=\"0.08\", expect_size=\"52241408\"] \n  19 -> 20 [size =\"52241408\"]\n  20 [size=\"69928960\", alpha=\"0.17\", expect_size=\"34964480\"] \n  20 -> 21 [size =\"34964480\"]\n  21 [size=\"16617472\", alpha=\"0.00\", expect_size=\"8308736\"] \n  21 -> 22 [size =\"8308736\"]\n  21 -> 23 [size =\"8308736\"]\n  22 [size=\"89649152\", alpha=\"0.04\", expect_size=\"44824576\"] \n  22 -> 25 [size =\"44824576\"]\n  23 [size=\"84277248\", alpha=\"0.17\", expect_size=\"42138624\"] \n  23 -> 24 [size =\"42138624\"]\n  23 -> 25 [size =\"42138624\"]\n  24 [size=\"16250880\", alpha=\"0.10\", expect_size=\"8125440\"] \n  25 [size=\"93984768\", alpha=\"0.04\", expect_size=\"46992384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26606080\", alpha=\"0.14\", expect_size=\"10642432\"] \n  1 -> 7 [size =\"10642432\"]\n  2 [size=\"104151040\", alpha=\"0.04\", expect_size=\"41660416\"] \n  3 [size=\"108631040\", alpha=\"0.14\", expect_size=\"43452416\"] \n  3 -> 6 [size =\"43452416\"]\n  3 -> 8 [size =\"43452416\"]\n  4 [size=\"90462720\", alpha=\"0.13\", expect_size=\"36185088\"] \n  4 -> 7 [size =\"36185088\"]\n  5 [size=\"31093760\", alpha=\"0.02\", expect_size=\"12437504\"] \n  5 -> 6 [size =\"12437504\"]\n  5 -> 8 [size =\"12437504\"]\n  6 [size=\"20572160\", alpha=\"0.09\", expect_size=\"8228864\"] \n  6 -> 9 [size =\"8228864\"]\n  6 -> 10 [size =\"8228864\"]\n  7 [size=\"105274880\", alpha=\"0.07\", expect_size=\"42109952\"] \n  7 -> 12 [size =\"42109952\"]\n  8 [size=\"97328640\", alpha=\"0.15\", expect_size=\"38931456\"] \n  8 -> 9 [size =\"38931456\"]\n  8 -> 11 [size =\"38931456\"]\n  8 -> 12 [size =\"38931456\"]\n  9 [size=\"91658240\", alpha=\"0.09\", expect_size=\"36663296\"] \n  9 -> 15 [size =\"36663296\"]\n  10 [size=\"42649600\", alpha=\"0.19\", expect_size=\"17059840\"] \n  10 -> 16 [size =\"17059840\"]\n  11 [size=\"125224960\", alpha=\"0.13\", expect_size=\"50089984\"] \n  11 -> 13 [size =\"50089984\"]\n  11 -> 16 [size =\"50089984\"]\n  12 [size=\"87188480\", alpha=\"0.02\", expect_size=\"34875392\"] \n  12 -> 14 [size =\"34875392\"]\n  13 [size=\"111260160\", alpha=\"0.17\", expect_size=\"44504064\"] \n  13 -> 18 [size =\"44504064\"]\n  13 -> 20 [size =\"44504064\"]\n  14 [size=\"76152320\", alpha=\"0.13\", expect_size=\"30460928\"] \n  14 -> 18 [size =\"30460928\"]\n  14 -> 19 [size =\"30460928\"]\n  14 -> 20 [size =\"30460928\"]\n  15 [size=\"31959040\", alpha=\"0.10\", expect_size=\"12783616\"] \n  15 -> 17 [size =\"12783616\"]\n  16 [size=\"44226560\", alpha=\"0.18\", expect_size=\"17690624\"] \n  17 [size=\"97781760\", alpha=\"0.16\", expect_size=\"39112704\"] \n  17 -> 21 [size =\"39112704\"]\n  17 -> 22 [size =\"39112704\"]\n  17 -> 24 [size =\"39112704\"]\n  18 [size=\"18644480\", alpha=\"0.00\", expect_size=\"7457792\"] \n  18 -> 23 [size =\"7457792\"]\n  18 -> 24 [size =\"7457792\"]\n  19 [size=\"106956800\", alpha=\"0.14\", expect_size=\"42782720\"] \n  20 [size=\"43202560\", alpha=\"0.03\", expect_size=\"17281024\"] \n  20 -> 21 [size =\"17281024\"]\n  21 [size=\"39759360\", alpha=\"0.13\", expect_size=\"15903744\"] \n  21 -> 25 [size =\"15903744\"]\n  22 [size=\"115607040\", alpha=\"0.19\", expect_size=\"46242816\"] \n  23 [size=\"124520960\", alpha=\"0.02\", expect_size=\"49808384\"] \n  24 [size=\"108421120\", alpha=\"0.17\", expect_size=\"43368448\"] \n  25 [size=\"66757120\", alpha=\"0.16\", expect_size=\"26702848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147247787\", alpha=\"0.20\", expect_size=\"44174336\"] \n  1 -> 3 [size =\"44174336\"]\n  2 [size=\"19087360\", alpha=\"0.20\", expect_size=\"5726208\"] \n  3 [size=\"43888640\", alpha=\"0.15\", expect_size=\"13166592\"] \n  3 -> 4 [size =\"13166592\"]\n  3 -> 5 [size =\"13166592\"]\n  4 [size=\"147240960\", alpha=\"0.18\", expect_size=\"44172288\"] \n  4 -> 6 [size =\"44172288\"]\n  5 [size=\"78503253\", alpha=\"0.12\", expect_size=\"23550976\"] \n  5 -> 6 [size =\"23550976\"]\n  6 [size=\"123740160\", alpha=\"0.16\", expect_size=\"37122048\"] \n  6 -> 7 [size =\"37122048\"]\n  7 [size=\"139048960\", alpha=\"0.15\", expect_size=\"41714688\"] \n  7 -> 8 [size =\"41714688\"]\n  7 -> 9 [size =\"41714688\"]\n  8 [size=\"93344427\", alpha=\"0.12\", expect_size=\"28003328\"] \n  9 [size=\"139960320\", alpha=\"0.12\", expect_size=\"41988096\"] \n  9 -> 10 [size =\"41988096\"]\n  9 -> 11 [size =\"41988096\"]\n  10 [size=\"48701440\", alpha=\"0.15\", expect_size=\"14610432\"] \n  10 -> 13 [size =\"14610432\"]\n  11 [size=\"131512320\", alpha=\"0.05\", expect_size=\"39453696\"] \n  11 -> 12 [size =\"39453696\"]\n  12 [size=\"129140053\", alpha=\"0.10\", expect_size=\"38742016\"] \n  12 -> 14 [size =\"38742016\"]\n  13 [size=\"125863253\", alpha=\"0.08\", expect_size=\"37758976\"] \n  14 [size=\"86865920\", alpha=\"0.03\", expect_size=\"26059776\"] \n  14 -> 15 [size =\"26059776\"]\n  14 -> 16 [size =\"26059776\"]\n  15 [size=\"73246720\", alpha=\"0.13\", expect_size=\"21974016\"] \n  15 -> 17 [size =\"21974016\"]\n  16 [size=\"165242880\", alpha=\"0.20\", expect_size=\"49572864\"] \n  16 -> 17 [size =\"49572864\"]\n  17 [size=\"135843840\", alpha=\"0.06\", expect_size=\"40753152\"] \n  17 -> 18 [size =\"40753152\"]\n  18 [size=\"94863360\", alpha=\"0.17\", expect_size=\"28459008\"] \n  18 -> 19 [size =\"28459008\"]\n  19 [size=\"30661973\", alpha=\"0.14\", expect_size=\"9198592\"] \n  19 -> 20 [size =\"9198592\"]\n  20 [size=\"125870080\", alpha=\"0.07\", expect_size=\"37761024\"] \n  20 -> 21 [size =\"37761024\"]\n  20 -> 22 [size =\"37761024\"]\n  21 [size=\"84271787\", alpha=\"0.16\", expect_size=\"25281536\"] \n  21 -> 23 [size =\"25281536\"]\n  22 [size=\"124863147\", alpha=\"0.05\", expect_size=\"37458944\"] \n  22 -> 23 [size =\"37458944\"]\n  23 [size=\"43700907\", alpha=\"0.17\", expect_size=\"13110272\"] \n  23 -> 24 [size =\"13110272\"]\n  23 -> 25 [size =\"13110272\"]\n  24 [size=\"108803413\", alpha=\"0.07\", expect_size=\"32641024\"] \n  25 [size=\"133140480\", alpha=\"0.03\", expect_size=\"39942144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163440640\", alpha=\"0.09\", expect_size=\"49032192\"] \n  1 -> 21 [size =\"49032192\"]\n  1 -> 22 [size =\"49032192\"]\n  1 -> 23 [size =\"49032192\"]\n  2 [size=\"159392427\", alpha=\"0.06\", expect_size=\"47817728\"] \n  2 -> 22 [size =\"47817728\"]\n  3 [size=\"159556267\", alpha=\"0.06\", expect_size=\"47866880\"] \n  3 -> 22 [size =\"47866880\"]\n  3 -> 23 [size =\"47866880\"]\n  4 [size=\"110445227\", alpha=\"0.11\", expect_size=\"33133568\"] \n  4 -> 22 [size =\"33133568\"]\n  4 -> 23 [size =\"33133568\"]\n  4 -> 24 [size =\"33133568\"]\n  5 [size=\"138161493\", alpha=\"0.08\", expect_size=\"41448448\"] \n  5 -> 22 [size =\"41448448\"]\n  5 -> 23 [size =\"41448448\"]\n  5 -> 24 [size =\"41448448\"]\n  6 [size=\"73403733\", alpha=\"0.16\", expect_size=\"22021120\"] \n  6 -> 23 [size =\"22021120\"]\n  6 -> 24 [size =\"22021120\"]\n  6 -> 24 [size =\"22021120\"]\n  6 -> 25 [size =\"22021120\"]\n  7 [size=\"42229760\", alpha=\"0.08\", expect_size=\"12668928\"] \n  7 -> 23 [size =\"12668928\"]\n  7 -> 24 [size =\"12668928\"]\n  7 -> 25 [size =\"12668928\"]\n  8 [size=\"161099093\", alpha=\"0.04\", expect_size=\"48329728\"] \n  8 -> 20 [size =\"48329728\"]\n  8 -> 21 [size =\"48329728\"]\n  8 -> 23 [size =\"48329728\"]\n  8 -> 24 [size =\"48329728\"]\n  8 -> 25 [size =\"48329728\"]\n  9 [size=\"56517973\", alpha=\"0.12\", expect_size=\"16955392\"] \n  9 -> 20 [size =\"16955392\"]\n  9 -> 23 [size =\"16955392\"]\n  9 -> 23 [size =\"16955392\"]\n  9 -> 24 [size =\"16955392\"]\n  10 [size=\"20667733\", alpha=\"0.10\", expect_size=\"6200320\"] \n  10 -> 21 [size =\"6200320\"]\n  10 -> 22 [size =\"6200320\"]\n  10 -> 23 [size =\"6200320\"]\n  10 -> 24 [size =\"6200320\"]\n  11 [size=\"38741333\", alpha=\"0.17\", expect_size=\"11622400\"] \n  11 -> 21 [size =\"11622400\"]\n  11 -> 22 [size =\"11622400\"]\n  11 -> 23 [size =\"11622400\"]\n  11 -> 24 [size =\"11622400\"]\n  12 [size=\"112172373\", alpha=\"0.00\", expect_size=\"33651712\"] \n  12 -> 20 [size =\"33651712\"]\n  12 -> 21 [size =\"33651712\"]\n  12 -> 22 [size =\"33651712\"]\n  12 -> 23 [size =\"33651712\"]\n  12 -> 24 [size =\"33651712\"]\n  13 [size=\"159569920\", alpha=\"0.01\", expect_size=\"47870976\"] \n  13 -> 20 [size =\"47870976\"]\n  13 -> 21 [size =\"47870976\"]\n  13 -> 22 [size =\"47870976\"]\n  13 -> 24 [size =\"47870976\"]\n  14 [size=\"52251307\", alpha=\"0.17\", expect_size=\"15675392\"] \n  14 -> 20 [size =\"15675392\"]\n  14 -> 22 [size =\"15675392\"]\n  14 -> 23 [size =\"15675392\"]\n  14 -> 24 [size =\"15675392\"]\n  15 [size=\"135034880\", alpha=\"0.08\", expect_size=\"40510464\"] \n  15 -> 23 [size =\"40510464\"]\n  15 -> 24 [size =\"40510464\"]\n  16 [size=\"39632213\", alpha=\"0.17\", expect_size=\"11889664\"] \n  16 -> 22 [size =\"11889664\"]\n  17 [size=\"167546880\", alpha=\"0.13\", expect_size=\"50264064\"] \n  17 -> 22 [size =\"50264064\"]\n  17 -> 23 [size =\"50264064\"]\n  17 -> 24 [size =\"50264064\"]\n  18 [size=\"71690240\", alpha=\"0.01\", expect_size=\"21507072\"] \n  18 -> 22 [size =\"21507072\"]\n  18 -> 23 [size =\"21507072\"]\n  19 [size=\"105939627\", alpha=\"0.14\", expect_size=\"31781888\"] \n  19 -> 22 [size =\"31781888\"]\n  19 -> 23 [size =\"31781888\"]\n  19 -> 24 [size =\"31781888\"]\n  19 -> 25 [size =\"31781888\"]\n  20 [size=\"44141227\", alpha=\"0.09\", expect_size=\"13242368\"] \n  21 [size=\"122323627\", alpha=\"0.02\", expect_size=\"36697088\"] \n  22 [size=\"101488640\", alpha=\"0.14\", expect_size=\"30446592\"] \n  23 [size=\"104376320\", alpha=\"0.03\", expect_size=\"31312896\"] \n  24 [size=\"111107413\", alpha=\"0.05\", expect_size=\"33332224\"] \n  25 [size=\"89419093\", alpha=\"0.02\", expect_size=\"26825728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58350933\", alpha=\"0.06\", expect_size=\"17505280\"] \n  1 -> 3 [size =\"17505280\"]\n  1 -> 4 [size =\"17505280\"]\n  2 [size=\"39608320\", alpha=\"0.09\", expect_size=\"11882496\"] \n  2 -> 3 [size =\"11882496\"]\n  2 -> 4 [size =\"11882496\"]\n  3 [size=\"143404373\", alpha=\"0.17\", expect_size=\"43021312\"] \n  3 -> 5 [size =\"43021312\"]\n  4 [size=\"124672000\", alpha=\"0.11\", expect_size=\"37401600\"] \n  4 -> 5 [size =\"37401600\"]\n  5 [size=\"64375467\", alpha=\"0.20\", expect_size=\"19312640\"] \n  5 -> 6 [size =\"19312640\"]\n  5 -> 7 [size =\"19312640\"]\n  6 [size=\"159959040\", alpha=\"0.00\", expect_size=\"47987712\"] \n  6 -> 8 [size =\"47987712\"]\n  6 -> 9 [size =\"47987712\"]\n  7 [size=\"83182933\", alpha=\"0.17\", expect_size=\"24954880\"] \n  7 -> 8 [size =\"24954880\"]\n  8 [size=\"63399253\", alpha=\"0.18\", expect_size=\"19019776\"] \n  8 -> 10 [size =\"19019776\"]\n  8 -> 11 [size =\"19019776\"]\n  9 [size=\"94146560\", alpha=\"0.06\", expect_size=\"28243968\"] \n  9 -> 10 [size =\"28243968\"]\n  9 -> 11 [size =\"28243968\"]\n  10 [size=\"113646933\", alpha=\"0.01\", expect_size=\"34094080\"] \n  10 -> 12 [size =\"34094080\"]\n  10 -> 13 [size =\"34094080\"]\n  11 [size=\"31057920\", alpha=\"0.19\", expect_size=\"9317376\"] \n  11 -> 12 [size =\"9317376\"]\n  11 -> 13 [size =\"9317376\"]\n  12 [size=\"78694400\", alpha=\"0.15\", expect_size=\"23608320\"] \n  12 -> 14 [size =\"23608320\"]\n  12 -> 15 [size =\"23608320\"]\n  13 [size=\"149739520\", alpha=\"0.18\", expect_size=\"44921856\"] \n  13 -> 14 [size =\"44921856\"]\n  13 -> 15 [size =\"44921856\"]\n  14 [size=\"127528960\", alpha=\"0.12\", expect_size=\"38258688\"] \n  14 -> 16 [size =\"38258688\"]\n  15 [size=\"54425600\", alpha=\"0.05\", expect_size=\"16327680\"] \n  15 -> 16 [size =\"16327680\"]\n  16 [size=\"52022613\", alpha=\"0.17\", expect_size=\"15606784\"] \n  16 -> 17 [size =\"15606784\"]\n  17 [size=\"55108267\", alpha=\"0.06\", expect_size=\"16532480\"] \n  17 -> 18 [size =\"16532480\"]\n  18 [size=\"33952427\", alpha=\"0.12\", expect_size=\"10185728\"] \n  18 -> 19 [size =\"10185728\"]\n  19 [size=\"172704427\", alpha=\"0.05\", expect_size=\"51811328\"] \n  19 -> 20 [size =\"51811328\"]\n  20 [size=\"62590293\", alpha=\"0.12\", expect_size=\"18777088\"] \n  20 -> 21 [size =\"18777088\"]\n  20 -> 22 [size =\"18777088\"]\n  21 [size=\"71069013\", alpha=\"0.03\", expect_size=\"21320704\"] \n  21 -> 23 [size =\"21320704\"]\n  22 [size=\"61982720\", alpha=\"0.17\", expect_size=\"18594816\"] \n  22 -> 24 [size =\"18594816\"]\n  23 [size=\"22562133\", alpha=\"0.07\", expect_size=\"6768640\"] \n  24 [size=\"165819733\", alpha=\"0.10\", expect_size=\"49745920\"] \n  24 -> 25 [size =\"49745920\"]\n  25 [size=\"100662613\", alpha=\"0.00\", expect_size=\"30198784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70231040\", alpha=\"0.07\", expect_size=\"28092416\"] \n  2 [size=\"114391040\", alpha=\"0.19\", expect_size=\"45756416\"] \n  2 -> 5 [size =\"45756416\"]\n  2 -> 7 [size =\"45756416\"]\n  2 -> 8 [size =\"45756416\"]\n  3 [size=\"100014080\", alpha=\"0.18\", expect_size=\"40005632\"] \n  3 -> 6 [size =\"40005632\"]\n  3 -> 8 [size =\"40005632\"]\n  4 [size=\"27668480\", alpha=\"0.14\", expect_size=\"11067392\"] \n  4 -> 6 [size =\"11067392\"]\n  4 -> 8 [size =\"11067392\"]\n  5 [size=\"126886400\", alpha=\"0.01\", expect_size=\"50754560\"] \n  5 -> 10 [size =\"50754560\"]\n  5 -> 11 [size =\"50754560\"]\n  6 [size=\"37419520\", alpha=\"0.06\", expect_size=\"14967808\"] \n  6 -> 9 [size =\"14967808\"]\n  6 -> 10 [size =\"14967808\"]\n  7 [size=\"29583360\", alpha=\"0.19\", expect_size=\"11833344\"] \n  7 -> 12 [size =\"11833344\"]\n  8 [size=\"128995840\", alpha=\"0.04\", expect_size=\"51598336\"] \n  8 -> 9 [size =\"51598336\"]\n  8 -> 12 [size =\"51598336\"]\n  9 [size=\"108236800\", alpha=\"0.17\", expect_size=\"43294720\"] \n  9 -> 14 [size =\"43294720\"]\n  9 -> 16 [size =\"43294720\"]\n  10 [size=\"67143680\", alpha=\"0.13\", expect_size=\"26857472\"] \n  10 -> 13 [size =\"26857472\"]\n  10 -> 16 [size =\"26857472\"]\n  11 [size=\"19471360\", alpha=\"0.06\", expect_size=\"7788544\"] \n  11 -> 15 [size =\"7788544\"]\n  12 [size=\"62476800\", alpha=\"0.11\", expect_size=\"24990720\"] \n  13 [size=\"53811200\", alpha=\"0.05\", expect_size=\"21524480\"] \n  13 -> 17 [size =\"21524480\"]\n  13 -> 18 [size =\"21524480\"]\n  13 -> 19 [size =\"21524480\"]\n  14 [size=\"41356800\", alpha=\"0.04\", expect_size=\"16542720\"] \n  14 -> 18 [size =\"16542720\"]\n  15 [size=\"122764800\", alpha=\"0.03\", expect_size=\"49105920\"] \n  15 -> 17 [size =\"49105920\"]\n  15 -> 19 [size =\"49105920\"]\n  16 [size=\"130037760\", alpha=\"0.01\", expect_size=\"52015104\"] \n  16 -> 19 [size =\"52015104\"]\n  16 -> 20 [size =\"52015104\"]\n  17 [size=\"49868800\", alpha=\"0.03\", expect_size=\"19947520\"] \n  17 -> 22 [size =\"19947520\"]\n  17 -> 24 [size =\"19947520\"]\n  18 [size=\"41587200\", alpha=\"0.19\", expect_size=\"16634880\"] \n  19 [size=\"67752960\", alpha=\"0.10\", expect_size=\"27101184\"] \n  19 -> 21 [size =\"27101184\"]\n  20 [size=\"51683840\", alpha=\"0.16\", expect_size=\"20673536\"] \n  20 -> 23 [size =\"20673536\"]\n  21 [size=\"128770560\", alpha=\"0.11\", expect_size=\"51508224\"] \n  21 -> 25 [size =\"51508224\"]\n  22 [size=\"44288000\", alpha=\"0.03\", expect_size=\"17715200\"] \n  22 -> 25 [size =\"17715200\"]\n  23 [size=\"106644480\", alpha=\"0.10\", expect_size=\"42657792\"] \n  24 [size=\"20490240\", alpha=\"0.19\", expect_size=\"8196096\"] \n  25 [size=\"43033600\", alpha=\"0.08\", expect_size=\"17213440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52987904\", alpha=\"0.16\", expect_size=\"26493952\"] \n  2 [size=\"67340288\", alpha=\"0.12\", expect_size=\"33670144\"] \n  2 -> 3 [size =\"33670144\"]\n  3 [size=\"72081408\", alpha=\"0.12\", expect_size=\"36040704\"] \n  3 -> 4 [size =\"36040704\"]\n  4 [size=\"59729920\", alpha=\"0.03\", expect_size=\"29864960\"] \n  4 -> 5 [size =\"29864960\"]\n  4 -> 6 [size =\"29864960\"]\n  5 [size=\"97374208\", alpha=\"0.14\", expect_size=\"48687104\"] \n  5 -> 8 [size =\"48687104\"]\n  6 [size=\"12062720\", alpha=\"0.10\", expect_size=\"6031360\"] \n  6 -> 7 [size =\"6031360\"]\n  6 -> 8 [size =\"6031360\"]\n  7 [size=\"66230272\", alpha=\"0.16\", expect_size=\"33115136\"] \n  7 -> 9 [size =\"33115136\"]\n  8 [size=\"26097664\", alpha=\"0.07\", expect_size=\"13048832\"] \n  8 -> 9 [size =\"13048832\"]\n  9 [size=\"14589952\", alpha=\"0.12\", expect_size=\"7294976\"] \n  9 -> 10 [size =\"7294976\"]\n  10 [size=\"93952000\", alpha=\"0.18\", expect_size=\"46976000\"] \n  10 -> 11 [size =\"46976000\"]\n  10 -> 12 [size =\"46976000\"]\n  11 [size=\"45588480\", alpha=\"0.20\", expect_size=\"22794240\"] \n  11 -> 13 [size =\"22794240\"]\n  11 -> 14 [size =\"22794240\"]\n  12 [size=\"25702400\", alpha=\"0.13\", expect_size=\"12851200\"] \n  12 -> 14 [size =\"12851200\"]\n  13 [size=\"83562496\", alpha=\"0.09\", expect_size=\"41781248\"] \n  13 -> 15 [size =\"41781248\"]\n  13 -> 16 [size =\"41781248\"]\n  14 [size=\"45811712\", alpha=\"0.05\", expect_size=\"22905856\"] \n  14 -> 15 [size =\"22905856\"]\n  14 -> 16 [size =\"22905856\"]\n  15 [size=\"61808640\", alpha=\"0.14\", expect_size=\"30904320\"] \n  15 -> 17 [size =\"30904320\"]\n  15 -> 18 [size =\"30904320\"]\n  16 [size=\"34504704\", alpha=\"0.08\", expect_size=\"17252352\"] \n  17 [size=\"81967104\", alpha=\"0.07\", expect_size=\"40983552\"] \n  17 -> 19 [size =\"40983552\"]\n  18 [size=\"65112064\", alpha=\"0.00\", expect_size=\"32556032\"] \n  18 -> 19 [size =\"32556032\"]\n  19 [size=\"98695168\", alpha=\"0.15\", expect_size=\"49347584\"] \n  19 -> 20 [size =\"49347584\"]\n  20 [size=\"59594752\", alpha=\"0.15\", expect_size=\"29797376\"] \n  20 -> 21 [size =\"29797376\"]\n  20 -> 22 [size =\"29797376\"]\n  21 [size=\"50173952\", alpha=\"0.03\", expect_size=\"25086976\"] \n  21 -> 23 [size =\"25086976\"]\n  22 [size=\"48068608\", alpha=\"0.04\", expect_size=\"24034304\"] \n  23 [size=\"14942208\", alpha=\"0.17\", expect_size=\"7471104\"] \n  23 -> 24 [size =\"7471104\"]\n  24 [size=\"55519232\", alpha=\"0.01\", expect_size=\"27759616\"] \n  24 -> 25 [size =\"27759616\"]\n  25 [size=\"79333376\", alpha=\"0.03\", expect_size=\"39666688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91455488\", alpha=\"0.16\", expect_size=\"45727744\"] \n  1 -> 21 [size =\"45727744\"]\n  1 -> 22 [size =\"45727744\"]\n  1 -> 23 [size =\"45727744\"]\n  2 [size=\"76138496\", alpha=\"0.09\", expect_size=\"38069248\"] \n  2 -> 22 [size =\"38069248\"]\n  2 -> 23 [size =\"38069248\"]\n  2 -> 25 [size =\"38069248\"]\n  3 [size=\"29616128\", alpha=\"0.05\", expect_size=\"14808064\"] \n  3 -> 22 [size =\"14808064\"]\n  4 [size=\"56905728\", alpha=\"0.15\", expect_size=\"28452864\"] \n  4 -> 25 [size =\"28452864\"]\n  5 [size=\"90820608\", alpha=\"0.06\", expect_size=\"45410304\"] \n  5 -> 22 [size =\"45410304\"]\n  5 -> 23 [size =\"45410304\"]\n  5 -> 25 [size =\"45410304\"]\n  6 [size=\"44443648\", alpha=\"0.05\", expect_size=\"22221824\"] \n  6 -> 23 [size =\"22221824\"]\n  7 [size=\"35926016\", alpha=\"0.20\", expect_size=\"17963008\"] \n  7 -> 20 [size =\"17963008\"]\n  7 -> 21 [size =\"17963008\"]\n  7 -> 22 [size =\"17963008\"]\n  7 -> 23 [size =\"17963008\"]\n  8 [size=\"99747840\", alpha=\"0.06\", expect_size=\"49873920\"] \n  8 -> 22 [size =\"49873920\"]\n  8 -> 23 [size =\"49873920\"]\n  9 [size=\"45191168\", alpha=\"0.05\", expect_size=\"22595584\"] \n  9 -> 21 [size =\"22595584\"]\n  9 -> 22 [size =\"22595584\"]\n  9 -> 23 [size =\"22595584\"]\n  10 [size=\"28813312\", alpha=\"0.04\", expect_size=\"14406656\"] \n  10 -> 22 [size =\"14406656\"]\n  10 -> 23 [size =\"14406656\"]\n  11 [size=\"91435008\", alpha=\"0.11\", expect_size=\"45717504\"] \n  11 -> 21 [size =\"45717504\"]\n  11 -> 22 [size =\"45717504\"]\n  11 -> 23 [size =\"45717504\"]\n  12 [size=\"70535168\", alpha=\"0.20\", expect_size=\"35267584\"] \n  12 -> 21 [size =\"35267584\"]\n  12 -> 23 [size =\"35267584\"]\n  12 -> 24 [size =\"35267584\"]\n  13 [size=\"19525632\", alpha=\"0.00\", expect_size=\"9762816\"] \n  13 -> 22 [size =\"9762816\"]\n  13 -> 25 [size =\"9762816\"]\n  14 [size=\"44009472\", alpha=\"0.11\", expect_size=\"22004736\"] \n  14 -> 22 [size =\"22004736\"]\n  14 -> 24 [size =\"22004736\"]\n  14 -> 25 [size =\"22004736\"]\n  15 [size=\"21702656\", alpha=\"0.15\", expect_size=\"10851328\"] \n  15 -> 25 [size =\"10851328\"]\n  16 [size=\"47800320\", alpha=\"0.02\", expect_size=\"23900160\"] \n  16 -> 21 [size =\"23900160\"]\n  16 -> 25 [size =\"23900160\"]\n  17 [size=\"72079360\", alpha=\"0.06\", expect_size=\"36039680\"] \n  17 -> 20 [size =\"36039680\"]\n  17 -> 22 [size =\"36039680\"]\n  17 -> 25 [size =\"36039680\"]\n  18 [size=\"71454720\", alpha=\"0.08\", expect_size=\"35727360\"] \n  18 -> 22 [size =\"35727360\"]\n  18 -> 24 [size =\"35727360\"]\n  19 [size=\"100575232\", alpha=\"0.02\", expect_size=\"50287616\"] \n  19 -> 21 [size =\"50287616\"]\n  19 -> 22 [size =\"50287616\"]\n  20 [size=\"28712960\", alpha=\"0.10\", expect_size=\"14356480\"] \n  21 [size=\"46163968\", alpha=\"0.14\", expect_size=\"23081984\"] \n  22 [size=\"96997376\", alpha=\"0.13\", expect_size=\"48498688\"] \n  23 [size=\"95913984\", alpha=\"0.16\", expect_size=\"47956992\"] \n  24 [size=\"97030144\", alpha=\"0.09\", expect_size=\"48515072\"] \n  25 [size=\"55148544\", alpha=\"0.18\", expect_size=\"27574272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54093824\", alpha=\"0.05\", expect_size=\"27046912\"] \n  1 -> 2 [size =\"27046912\"]\n  1 -> 3 [size =\"27046912\"]\n  2 [size=\"83859456\", alpha=\"0.08\", expect_size=\"41929728\"] \n  2 -> 4 [size =\"41929728\"]\n  3 [size=\"32890880\", alpha=\"0.19\", expect_size=\"16445440\"] \n  4 [size=\"77490176\", alpha=\"0.01\", expect_size=\"38745088\"] \n  4 -> 5 [size =\"38745088\"]\n  4 -> 6 [size =\"38745088\"]\n  5 [size=\"74995712\", alpha=\"0.19\", expect_size=\"37497856\"] \n  5 -> 7 [size =\"37497856\"]\n  6 [size=\"13824000\", alpha=\"0.08\", expect_size=\"6912000\"] \n  7 [size=\"30068736\", alpha=\"0.02\", expect_size=\"15034368\"] \n  7 -> 8 [size =\"15034368\"]\n  8 [size=\"63225856\", alpha=\"0.09\", expect_size=\"31612928\"] \n  8 -> 9 [size =\"31612928\"]\n  9 [size=\"100157440\", alpha=\"0.18\", expect_size=\"50078720\"] \n  9 -> 10 [size =\"50078720\"]\n  9 -> 11 [size =\"50078720\"]\n  10 [size=\"72450048\", alpha=\"0.15\", expect_size=\"36225024\"] \n  10 -> 12 [size =\"36225024\"]\n  11 [size=\"23128064\", alpha=\"0.18\", expect_size=\"11564032\"] \n  12 [size=\"46295040\", alpha=\"0.18\", expect_size=\"23147520\"] \n  12 -> 13 [size =\"23147520\"]\n  12 -> 14 [size =\"23147520\"]\n  13 [size=\"83394560\", alpha=\"0.19\", expect_size=\"41697280\"] \n  14 [size=\"77678592\", alpha=\"0.06\", expect_size=\"38839296\"] \n  14 -> 15 [size =\"38839296\"]\n  15 [size=\"82053120\", alpha=\"0.18\", expect_size=\"41026560\"] \n  15 -> 16 [size =\"41026560\"]\n  16 [size=\"79073280\", alpha=\"0.09\", expect_size=\"39536640\"] \n  16 -> 17 [size =\"39536640\"]\n  17 [size=\"23427072\", alpha=\"0.01\", expect_size=\"11713536\"] \n  17 -> 18 [size =\"11713536\"]\n  18 [size=\"30509056\", alpha=\"0.07\", expect_size=\"15254528\"] \n  18 -> 19 [size =\"15254528\"]\n  18 -> 20 [size =\"15254528\"]\n  19 [size=\"75046912\", alpha=\"0.13\", expect_size=\"37523456\"] \n  19 -> 22 [size =\"37523456\"]\n  20 [size=\"67149824\", alpha=\"0.14\", expect_size=\"33574912\"] \n  20 -> 21 [size =\"33574912\"]\n  21 [size=\"45152256\", alpha=\"0.04\", expect_size=\"22576128\"] \n  22 [size=\"33796096\", alpha=\"0.10\", expect_size=\"16898048\"] \n  22 -> 23 [size =\"16898048\"]\n  22 -> 24 [size =\"16898048\"]\n  23 [size=\"24182784\", alpha=\"0.01\", expect_size=\"12091392\"] \n  23 -> 25 [size =\"12091392\"]\n  24 [size=\"20058112\", alpha=\"0.05\", expect_size=\"10029056\"] \n  25 [size=\"49332224\", alpha=\"0.04\", expect_size=\"24666112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127055360\", alpha=\"0.08\", expect_size=\"50822144\"] \n  1 -> 4 [size =\"50822144\"]\n  1 -> 5 [size =\"50822144\"]\n  1 -> 6 [size =\"50822144\"]\n  1 -> 7 [size =\"50822144\"]\n  2 [size=\"97973760\", alpha=\"0.11\", expect_size=\"39189504\"] \n  2 -> 4 [size =\"39189504\"]\n  2 -> 5 [size =\"39189504\"]\n  2 -> 6 [size =\"39189504\"]\n  3 [size=\"36075520\", alpha=\"0.04\", expect_size=\"14430208\"] \n  3 -> 4 [size =\"14430208\"]\n  3 -> 5 [size =\"14430208\"]\n  3 -> 7 [size =\"14430208\"]\n  4 [size=\"14522880\", alpha=\"0.19\", expect_size=\"5809152\"] \n  4 -> 8 [size =\"5809152\"]\n  4 -> 9 [size =\"5809152\"]\n  4 -> 10 [size =\"5809152\"]\n  5 [size=\"118986240\", alpha=\"0.19\", expect_size=\"47594496\"] \n  5 -> 8 [size =\"47594496\"]\n  5 -> 9 [size =\"47594496\"]\n  5 -> 10 [size =\"47594496\"]\n  6 [size=\"89103360\", alpha=\"0.11\", expect_size=\"35641344\"] \n  6 -> 8 [size =\"35641344\"]\n  6 -> 9 [size =\"35641344\"]\n  6 -> 10 [size =\"35641344\"]\n  7 [size=\"115699200\", alpha=\"0.11\", expect_size=\"46279680\"] \n  7 -> 8 [size =\"46279680\"]\n  7 -> 9 [size =\"46279680\"]\n  7 -> 10 [size =\"46279680\"]\n  7 -> 11 [size =\"46279680\"]\n  8 [size=\"94156800\", alpha=\"0.01\", expect_size=\"37662720\"] \n  8 -> 12 [size =\"37662720\"]\n  8 -> 13 [size =\"37662720\"]\n  8 -> 14 [size =\"37662720\"]\n  9 [size=\"64788480\", alpha=\"0.02\", expect_size=\"25915392\"] \n  9 -> 12 [size =\"25915392\"]\n  9 -> 13 [size =\"25915392\"]\n  9 -> 14 [size =\"25915392\"]\n  10 [size=\"101767680\", alpha=\"0.08\", expect_size=\"40707072\"] \n  10 -> 12 [size =\"40707072\"]\n  10 -> 13 [size =\"40707072\"]\n  10 -> 14 [size =\"40707072\"]\n  11 [size=\"14361600\", alpha=\"0.05\", expect_size=\"5744640\"] \n  11 -> 12 [size =\"5744640\"]\n  11 -> 13 [size =\"5744640\"]\n  11 -> 14 [size =\"5744640\"]\n  12 [size=\"64038400\", alpha=\"0.12\", expect_size=\"25615360\"] \n  12 -> 15 [size =\"25615360\"]\n  12 -> 16 [size =\"25615360\"]\n  12 -> 17 [size =\"25615360\"]\n  13 [size=\"129441280\", alpha=\"0.15\", expect_size=\"51776512\"] \n  13 -> 15 [size =\"51776512\"]\n  13 -> 16 [size =\"51776512\"]\n  13 -> 17 [size =\"51776512\"]\n  14 [size=\"37634560\", alpha=\"0.12\", expect_size=\"15053824\"] \n  14 -> 15 [size =\"15053824\"]\n  14 -> 16 [size =\"15053824\"]\n  14 -> 17 [size =\"15053824\"]\n  15 [size=\"31288320\", alpha=\"0.00\", expect_size=\"12515328\"] \n  15 -> 18 [size =\"12515328\"]\n  15 -> 19 [size =\"12515328\"]\n  16 [size=\"23733760\", alpha=\"0.14\", expect_size=\"9493504\"] \n  16 -> 18 [size =\"9493504\"]\n  16 -> 19 [size =\"9493504\"]\n  16 -> 20 [size =\"9493504\"]\n  17 [size=\"86392320\", alpha=\"0.17\", expect_size=\"34556928\"] \n  17 -> 19 [size =\"34556928\"]\n  17 -> 20 [size =\"34556928\"]\n  18 [size=\"34058240\", alpha=\"0.15\", expect_size=\"13623296\"] \n  18 -> 21 [size =\"13623296\"]\n  18 -> 22 [size =\"13623296\"]\n  19 [size=\"38080000\", alpha=\"0.13\", expect_size=\"15232000\"] \n  19 -> 22 [size =\"15232000\"]\n  19 -> 22 [size =\"15232000\"]\n  19 -> 23 [size =\"15232000\"]\n  20 [size=\"51100160\", alpha=\"0.13\", expect_size=\"20440064\"] \n  21 [size=\"95572480\", alpha=\"0.13\", expect_size=\"38228992\"] \n  21 -> 24 [size =\"38228992\"]\n  22 [size=\"125637120\", alpha=\"0.07\", expect_size=\"50254848\"] \n  22 -> 24 [size =\"50254848\"]\n  22 -> 25 [size =\"50254848\"]\n  23 [size=\"77900800\", alpha=\"0.04\", expect_size=\"31160320\"] \n  23 -> 24 [size =\"31160320\"]\n  24 [size=\"48947200\", alpha=\"0.03\", expect_size=\"19578880\"] \n  25 [size=\"121164800\", alpha=\"0.18\", expect_size=\"48465920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64499712\", alpha=\"0.19\", expect_size=\"32249856\"] \n  2 [size=\"14071808\", alpha=\"0.13\", expect_size=\"7035904\"] \n  3 [size=\"73904128\", alpha=\"0.12\", expect_size=\"36952064\"] \n  3 -> 4 [size =\"36952064\"]\n  3 -> 5 [size =\"36952064\"]\n  4 [size=\"60864512\", alpha=\"0.15\", expect_size=\"30432256\"] \n  4 -> 7 [size =\"30432256\"]\n  4 -> 8 [size =\"30432256\"]\n  5 [size=\"13760512\", alpha=\"0.07\", expect_size=\"6880256\"] \n  5 -> 6 [size =\"6880256\"]\n  5 -> 9 [size =\"6880256\"]\n  6 [size=\"93337600\", alpha=\"0.10\", expect_size=\"46668800\"] \n  6 -> 11 [size =\"46668800\"]\n  6 -> 13 [size =\"46668800\"]\n  7 [size=\"84058112\", alpha=\"0.05\", expect_size=\"42029056\"] \n  8 [size=\"86349824\", alpha=\"0.09\", expect_size=\"43174912\"] \n  8 -> 10 [size =\"43174912\"]\n  8 -> 12 [size =\"43174912\"]\n  9 [size=\"93497344\", alpha=\"0.03\", expect_size=\"46748672\"] \n  10 [size=\"63287296\", alpha=\"0.12\", expect_size=\"31643648\"] \n  11 [size=\"96045056\", alpha=\"0.03\", expect_size=\"48022528\"] \n  11 -> 14 [size =\"48022528\"]\n  12 [size=\"90165248\", alpha=\"0.06\", expect_size=\"45082624\"] \n  12 -> 14 [size =\"45082624\"]\n  12 -> 17 [size =\"45082624\"]\n  13 [size=\"57618432\", alpha=\"0.18\", expect_size=\"28809216\"] \n  13 -> 15 [size =\"28809216\"]\n  13 -> 16 [size =\"28809216\"]\n  14 [size=\"18120704\", alpha=\"0.12\", expect_size=\"9060352\"] \n  14 -> 20 [size =\"9060352\"]\n  14 -> 21 [size =\"9060352\"]\n  15 [size=\"90370048\", alpha=\"0.02\", expect_size=\"45185024\"] \n  15 -> 18 [size =\"45185024\"]\n  15 -> 21 [size =\"45185024\"]\n  16 [size=\"27727872\", alpha=\"0.15\", expect_size=\"13863936\"] \n  16 -> 19 [size =\"13863936\"]\n  17 [size=\"73314304\", alpha=\"0.05\", expect_size=\"36657152\"] \n  18 [size=\"95295488\", alpha=\"0.08\", expect_size=\"47647744\"] \n  18 -> 22 [size =\"47647744\"]\n  18 -> 23 [size =\"47647744\"]\n  19 [size=\"41043968\", alpha=\"0.02\", expect_size=\"20521984\"] \n  19 -> 22 [size =\"20521984\"]\n  19 -> 24 [size =\"20521984\"]\n  20 [size=\"54134784\", alpha=\"0.07\", expect_size=\"27067392\"] \n  20 -> 24 [size =\"27067392\"]\n  21 [size=\"18626560\", alpha=\"0.04\", expect_size=\"9313280\"] \n  21 -> 23 [size =\"9313280\"]\n  22 [size=\"34330624\", alpha=\"0.02\", expect_size=\"17165312\"] \n  22 -> 25 [size =\"17165312\"]\n  23 [size=\"63006720\", alpha=\"0.12\", expect_size=\"31503360\"] \n  24 [size=\"51253248\", alpha=\"0.14\", expect_size=\"25626624\"] \n  24 -> 25 [size =\"25626624\"]\n  25 [size=\"14555136\", alpha=\"0.16\", expect_size=\"7277568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52144128\", alpha=\"0.04\", expect_size=\"26072064\"] \n  1 -> 6 [size =\"26072064\"]\n  1 -> 7 [size =\"26072064\"]\n  1 -> 8 [size =\"26072064\"]\n  1 -> 9 [size =\"26072064\"]\n  1 -> 10 [size =\"26072064\"]\n  2 [size=\"54065152\", alpha=\"0.19\", expect_size=\"27032576\"] \n  2 -> 7 [size =\"27032576\"]\n  2 -> 8 [size =\"27032576\"]\n  2 -> 9 [size =\"27032576\"]\n  2 -> 9 [size =\"27032576\"]\n  2 -> 10 [size =\"27032576\"]\n  3 [size=\"82669568\", alpha=\"0.20\", expect_size=\"41334784\"] \n  3 -> 7 [size =\"41334784\"]\n  3 -> 8 [size =\"41334784\"]\n  3 -> 9 [size =\"41334784\"]\n  3 -> 10 [size =\"41334784\"]\n  4 [size=\"100354048\", alpha=\"0.13\", expect_size=\"50177024\"] \n  4 -> 6 [size =\"50177024\"]\n  4 -> 7 [size =\"50177024\"]\n  4 -> 8 [size =\"50177024\"]\n  4 -> 10 [size =\"50177024\"]\n  5 [size=\"66965504\", alpha=\"0.02\", expect_size=\"33482752\"] \n  5 -> 6 [size =\"33482752\"]\n  5 -> 7 [size =\"33482752\"]\n  5 -> 8 [size =\"33482752\"]\n  5 -> 9 [size =\"33482752\"]\n  5 -> 10 [size =\"33482752\"]\n  6 [size=\"81553408\", alpha=\"0.13\", expect_size=\"40776704\"] \n  6 -> 11 [size =\"40776704\"]\n  6 -> 12 [size =\"40776704\"]\n  7 [size=\"53452800\", alpha=\"0.08\", expect_size=\"26726400\"] \n  7 -> 11 [size =\"26726400\"]\n  8 [size=\"51492864\", alpha=\"0.08\", expect_size=\"25746432\"] \n  8 -> 11 [size =\"25746432\"]\n  9 [size=\"43231232\", alpha=\"0.11\", expect_size=\"21615616\"] \n  10 [size=\"77017088\", alpha=\"0.01\", expect_size=\"38508544\"] \n  10 -> 11 [size =\"38508544\"]\n  10 -> 12 [size =\"38508544\"]\n  11 [size=\"49850368\", alpha=\"0.15\", expect_size=\"24925184\"] \n  11 -> 13 [size =\"24925184\"]\n  11 -> 14 [size =\"24925184\"]\n  11 -> 15 [size =\"24925184\"]\n  12 [size=\"70436864\", alpha=\"0.03\", expect_size=\"35218432\"] \n  12 -> 13 [size =\"35218432\"]\n  12 -> 14 [size =\"35218432\"]\n  12 -> 15 [size =\"35218432\"]\n  13 [size=\"65476608\", alpha=\"0.16\", expect_size=\"32738304\"] \n  13 -> 17 [size =\"32738304\"]\n  14 [size=\"65447936\", alpha=\"0.17\", expect_size=\"32723968\"] \n  14 -> 16 [size =\"32723968\"]\n  14 -> 17 [size =\"32723968\"]\n  15 [size=\"30793728\", alpha=\"0.11\", expect_size=\"15396864\"] \n  15 -> 17 [size =\"15396864\"]\n  16 [size=\"41758720\", alpha=\"0.14\", expect_size=\"20879360\"] \n  16 -> 18 [size =\"20879360\"]\n  16 -> 19 [size =\"20879360\"]\n  16 -> 21 [size =\"20879360\"]\n  17 [size=\"101253120\", alpha=\"0.08\", expect_size=\"50626560\"] \n  17 -> 19 [size =\"50626560\"]\n  17 -> 20 [size =\"50626560\"]\n  17 -> 21 [size =\"50626560\"]\n  18 [size=\"44711936\", alpha=\"0.07\", expect_size=\"22355968\"] \n  18 -> 22 [size =\"22355968\"]\n  18 -> 23 [size =\"22355968\"]\n  18 -> 24 [size =\"22355968\"]\n  18 -> 25 [size =\"22355968\"]\n  19 [size=\"82491392\", alpha=\"0.04\", expect_size=\"41245696\"] \n  19 -> 24 [size =\"41245696\"]\n  19 -> 25 [size =\"41245696\"]\n  20 [size=\"42010624\", alpha=\"0.02\", expect_size=\"21005312\"] \n  20 -> 24 [size =\"21005312\"]\n  20 -> 25 [size =\"21005312\"]\n  21 [size=\"48781312\", alpha=\"0.09\", expect_size=\"24390656\"] \n  21 -> 24 [size =\"24390656\"]\n  22 [size=\"26171392\", alpha=\"0.05\", expect_size=\"13085696\"] \n  23 [size=\"38297600\", alpha=\"0.17\", expect_size=\"19148800\"] \n  24 [size=\"18577408\", alpha=\"0.07\", expect_size=\"9288704\"] \n  25 [size=\"99930112\", alpha=\"0.10\", expect_size=\"49965056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130734080\", alpha=\"0.19\", expect_size=\"52293632\"] \n  1 -> 13 [size =\"52293632\"]\n  2 [size=\"123159040\", alpha=\"0.06\", expect_size=\"49263616\"] \n  2 -> 13 [size =\"49263616\"]\n  2 -> 18 [size =\"49263616\"]\n  3 [size=\"58647040\", alpha=\"0.04\", expect_size=\"23458816\"] \n  3 -> 12 [size =\"23458816\"]\n  3 -> 16 [size =\"23458816\"]\n  3 -> 18 [size =\"23458816\"]\n  4 [size=\"42414080\", alpha=\"0.13\", expect_size=\"16965632\"] \n  4 -> 10 [size =\"16965632\"]\n  4 -> 11 [size =\"16965632\"]\n  4 -> 14 [size =\"16965632\"]\n  4 -> 17 [size =\"16965632\"]\n  5 [size=\"62312960\", alpha=\"0.12\", expect_size=\"24925184\"] \n  5 -> 10 [size =\"24925184\"]\n  5 -> 11 [size =\"24925184\"]\n  5 -> 14 [size =\"24925184\"]\n  6 [size=\"15139840\", alpha=\"0.17\", expect_size=\"6055936\"] \n  6 -> 10 [size =\"6055936\"]\n  6 -> 13 [size =\"6055936\"]\n  6 -> 18 [size =\"6055936\"]\n  7 [size=\"39349760\", alpha=\"0.17\", expect_size=\"15739904\"] \n  7 -> 10 [size =\"15739904\"]\n  7 -> 11 [size =\"15739904\"]\n  7 -> 13 [size =\"15739904\"]\n  7 -> 14 [size =\"15739904\"]\n  7 -> 15 [size =\"15739904\"]\n  7 -> 16 [size =\"15739904\"]\n  8 [size=\"82380800\", alpha=\"0.13\", expect_size=\"32952320\"] \n  8 -> 11 [size =\"32952320\"]\n  8 -> 14 [size =\"32952320\"]\n  8 -> 16 [size =\"32952320\"]\n  9 [size=\"47224320\", alpha=\"0.01\", expect_size=\"18889728\"] \n  9 -> 13 [size =\"18889728\"]\n  10 [size=\"28372480\", alpha=\"0.16\", expect_size=\"11348992\"] \n  10 -> 25 [size =\"11348992\"]\n  11 [size=\"119864320\", alpha=\"0.14\", expect_size=\"47945728\"] \n  11 -> 21 [size =\"47945728\"]\n  11 -> 22 [size =\"47945728\"]\n  11 -> 23 [size =\"47945728\"]\n  11 -> 24 [size =\"47945728\"]\n  12 [size=\"113006080\", alpha=\"0.15\", expect_size=\"45202432\"] \n  12 -> 20 [size =\"45202432\"]\n  13 [size=\"30323200\", alpha=\"0.15\", expect_size=\"12129280\"] \n  13 -> 19 [size =\"12129280\"]\n  13 -> 20 [size =\"12129280\"]\n  14 [size=\"52879360\", alpha=\"0.12\", expect_size=\"21151744\"] \n  14 -> 21 [size =\"21151744\"]\n  15 [size=\"128962560\", alpha=\"0.18\", expect_size=\"51585024\"] \n  15 -> 19 [size =\"51585024\"]\n  15 -> 21 [size =\"51585024\"]\n  15 -> 23 [size =\"51585024\"]\n  16 [size=\"81602560\", alpha=\"0.17\", expect_size=\"32641024\"] \n  16 -> 19 [size =\"32641024\"]\n  16 -> 21 [size =\"32641024\"]\n  16 -> 24 [size =\"32641024\"]\n  17 [size=\"61908480\", alpha=\"0.20\", expect_size=\"24763392\"] \n  17 -> 23 [size =\"24763392\"]\n  18 [size=\"46896640\", alpha=\"0.08\", expect_size=\"18758656\"] \n  18 -> 19 [size =\"18758656\"]\n  18 -> 24 [size =\"18758656\"]\n  19 [size=\"121290240\", alpha=\"0.10\", expect_size=\"48516096\"] \n  20 [size=\"129922560\", alpha=\"0.05\", expect_size=\"51969024\"] \n  21 [size=\"106739200\", alpha=\"0.20\", expect_size=\"42695680\"] \n  22 [size=\"73958400\", alpha=\"0.13\", expect_size=\"29583360\"] \n  23 [size=\"44756480\", alpha=\"0.15\", expect_size=\"17902592\"] \n  24 [size=\"13114880\", alpha=\"0.01\", expect_size=\"5245952\"] \n  25 [size=\"83712000\", alpha=\"0.15\", expect_size=\"33484800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88130560\", alpha=\"0.08\", expect_size=\"35252224\"] \n  1 -> 11 [size =\"35252224\"]\n  1 -> 14 [size =\"35252224\"]\n  1 -> 16 [size =\"35252224\"]\n  2 [size=\"90183680\", alpha=\"0.08\", expect_size=\"36073472\"] \n  2 -> 10 [size =\"36073472\"]\n  2 -> 11 [size =\"36073472\"]\n  2 -> 13 [size =\"36073472\"]\n  2 -> 17 [size =\"36073472\"]\n  3 [size=\"19427840\", alpha=\"0.10\", expect_size=\"7771136\"] \n  3 -> 10 [size =\"7771136\"]\n  3 -> 11 [size =\"7771136\"]\n  3 -> 13 [size =\"7771136\"]\n  3 -> 14 [size =\"7771136\"]\n  3 -> 15 [size =\"7771136\"]\n  3 -> 17 [size =\"7771136\"]\n  4 [size=\"18877440\", alpha=\"0.02\", expect_size=\"7550976\"] \n  4 -> 12 [size =\"7550976\"]\n  4 -> 15 [size =\"7550976\"]\n  4 -> 16 [size =\"7550976\"]\n  4 -> 17 [size =\"7550976\"]\n  5 [size=\"111470080\", alpha=\"0.12\", expect_size=\"44588032\"] \n  5 -> 10 [size =\"44588032\"]\n  6 [size=\"119352320\", alpha=\"0.19\", expect_size=\"47740928\"] \n  6 -> 10 [size =\"47740928\"]\n  6 -> 15 [size =\"47740928\"]\n  6 -> 17 [size =\"47740928\"]\n  7 [size=\"110691840\", alpha=\"0.02\", expect_size=\"44276736\"] \n  7 -> 10 [size =\"44276736\"]\n  7 -> 11 [size =\"44276736\"]\n  7 -> 12 [size =\"44276736\"]\n  7 -> 16 [size =\"44276736\"]\n  7 -> 17 [size =\"44276736\"]\n  8 [size=\"77022720\", alpha=\"0.01\", expect_size=\"30809088\"] \n  8 -> 11 [size =\"30809088\"]\n  8 -> 11 [size =\"30809088\"]\n  8 -> 12 [size =\"30809088\"]\n  8 -> 16 [size =\"30809088\"]\n  9 [size=\"92659200\", alpha=\"0.04\", expect_size=\"37063680\"] \n  9 -> 10 [size =\"37063680\"]\n  9 -> 16 [size =\"37063680\"]\n  10 [size=\"113840640\", alpha=\"0.05\", expect_size=\"45536256\"] \n  10 -> 18 [size =\"45536256\"]\n  10 -> 19 [size =\"45536256\"]\n  10 -> 25 [size =\"45536256\"]\n  11 [size=\"40545280\", alpha=\"0.00\", expect_size=\"16218112\"] \n  11 -> 20 [size =\"16218112\"]\n  11 -> 24 [size =\"16218112\"]\n  12 [size=\"85450240\", alpha=\"0.03\", expect_size=\"34180096\"] \n  12 -> 18 [size =\"34180096\"]\n  12 -> 20 [size =\"34180096\"]\n  12 -> 21 [size =\"34180096\"]\n  12 -> 24 [size =\"34180096\"]\n  13 [size=\"15434240\", alpha=\"0.13\", expect_size=\"6173696\"] \n  13 -> 18 [size =\"6173696\"]\n  13 -> 20 [size =\"6173696\"]\n  13 -> 22 [size =\"6173696\"]\n  14 [size=\"75645440\", alpha=\"0.12\", expect_size=\"30258176\"] \n  14 -> 19 [size =\"30258176\"]\n  14 -> 21 [size =\"30258176\"]\n  14 -> 24 [size =\"30258176\"]\n  14 -> 25 [size =\"30258176\"]\n  15 [size=\"90091520\", alpha=\"0.05\", expect_size=\"36036608\"] \n  15 -> 18 [size =\"36036608\"]\n  15 -> 23 [size =\"36036608\"]\n  15 -> 24 [size =\"36036608\"]\n  15 -> 25 [size =\"36036608\"]\n  16 [size=\"45258240\", alpha=\"0.00\", expect_size=\"18103296\"] \n  16 -> 18 [size =\"18103296\"]\n  16 -> 20 [size =\"18103296\"]\n  16 -> 25 [size =\"18103296\"]\n  17 [size=\"41594880\", alpha=\"0.01\", expect_size=\"16637952\"] \n  17 -> 19 [size =\"16637952\"]\n  18 [size=\"53882880\", alpha=\"0.08\", expect_size=\"21553152\"] \n  19 [size=\"58245120\", alpha=\"0.04\", expect_size=\"23298048\"] \n  20 [size=\"80048640\", alpha=\"0.17\", expect_size=\"32019456\"] \n  21 [size=\"108124160\", alpha=\"0.02\", expect_size=\"43249664\"] \n  22 [size=\"110589440\", alpha=\"0.01\", expect_size=\"44235776\"] \n  23 [size=\"126737920\", alpha=\"0.00\", expect_size=\"50695168\"] \n  24 [size=\"83100160\", alpha=\"0.01\", expect_size=\"33240064\"] \n  25 [size=\"35279360\", alpha=\"0.18\", expect_size=\"14111744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55842816\", alpha=\"0.03\", expect_size=\"27921408\"] \n  1 -> 21 [size =\"27921408\"]\n  2 [size=\"87709696\", alpha=\"0.04\", expect_size=\"43854848\"] \n  2 -> 22 [size =\"43854848\"]\n  3 [size=\"11675648\", alpha=\"0.00\", expect_size=\"5837824\"] \n  3 -> 21 [size =\"5837824\"]\n  3 -> 22 [size =\"5837824\"]\n  3 -> 23 [size =\"5837824\"]\n  3 -> 24 [size =\"5837824\"]\n  4 [size=\"41474048\", alpha=\"0.11\", expect_size=\"20737024\"] \n  4 -> 19 [size =\"20737024\"]\n  4 -> 21 [size =\"20737024\"]\n  4 -> 22 [size =\"20737024\"]\n  4 -> 24 [size =\"20737024\"]\n  5 [size=\"66973696\", alpha=\"0.00\", expect_size=\"33486848\"] \n  5 -> 19 [size =\"33486848\"]\n  5 -> 20 [size =\"33486848\"]\n  5 -> 22 [size =\"33486848\"]\n  6 [size=\"70868992\", alpha=\"0.11\", expect_size=\"35434496\"] \n  6 -> 19 [size =\"35434496\"]\n  6 -> 22 [size =\"35434496\"]\n  7 [size=\"67407872\", alpha=\"0.09\", expect_size=\"33703936\"] \n  7 -> 19 [size =\"33703936\"]\n  7 -> 22 [size =\"33703936\"]\n  7 -> 25 [size =\"33703936\"]\n  8 [size=\"41967616\", alpha=\"0.16\", expect_size=\"20983808\"] \n  8 -> 19 [size =\"20983808\"]\n  8 -> 21 [size =\"20983808\"]\n  9 [size=\"99276800\", alpha=\"0.19\", expect_size=\"49638400\"] \n  9 -> 19 [size =\"49638400\"]\n  9 -> 21 [size =\"49638400\"]\n  10 [size=\"38176768\", alpha=\"0.10\", expect_size=\"19088384\"] \n  10 -> 19 [size =\"19088384\"]\n  10 -> 21 [size =\"19088384\"]\n  10 -> 22 [size =\"19088384\"]\n  11 [size=\"73576448\", alpha=\"0.06\", expect_size=\"36788224\"] \n  11 -> 19 [size =\"36788224\"]\n  11 -> 22 [size =\"36788224\"]\n  11 -> 23 [size =\"36788224\"]\n  12 [size=\"87341056\", alpha=\"0.03\", expect_size=\"43670528\"] \n  12 -> 19 [size =\"43670528\"]\n  12 -> 20 [size =\"43670528\"]\n  13 [size=\"11831296\", alpha=\"0.07\", expect_size=\"5915648\"] \n  13 -> 21 [size =\"5915648\"]\n  13 -> 22 [size =\"5915648\"]\n  14 [size=\"12275712\", alpha=\"0.04\", expect_size=\"6137856\"] \n  14 -> 21 [size =\"6137856\"]\n  15 [size=\"65044480\", alpha=\"0.19\", expect_size=\"32522240\"] \n  15 -> 19 [size =\"32522240\"]\n  15 -> 21 [size =\"32522240\"]\n  15 -> 22 [size =\"32522240\"]\n  16 [size=\"67182592\", alpha=\"0.15\", expect_size=\"33591296\"] \n  16 -> 19 [size =\"33591296\"]\n  17 [size=\"24426496\", alpha=\"0.13\", expect_size=\"12213248\"] \n  17 -> 20 [size =\"12213248\"]\n  17 -> 21 [size =\"12213248\"]\n  17 -> 24 [size =\"12213248\"]\n  18 [size=\"66287616\", alpha=\"0.03\", expect_size=\"33143808\"] \n  18 -> 22 [size =\"33143808\"]\n  18 -> 24 [size =\"33143808\"]\n  18 -> 25 [size =\"33143808\"]\n  19 [size=\"47448064\", alpha=\"0.14\", expect_size=\"23724032\"] \n  20 [size=\"43085824\", alpha=\"0.15\", expect_size=\"21542912\"] \n  21 [size=\"91252736\", alpha=\"0.06\", expect_size=\"45626368\"] \n  22 [size=\"23490560\", alpha=\"0.14\", expect_size=\"11745280\"] \n  23 [size=\"37838848\", alpha=\"0.01\", expect_size=\"18919424\"] \n  24 [size=\"72634368\", alpha=\"0.15\", expect_size=\"36317184\"] \n  25 [size=\"92733440\", alpha=\"0.01\", expect_size=\"46366720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83228672\", alpha=\"0.09\", expect_size=\"41614336\"] \n  1 -> 2 [size =\"41614336\"]\n  2 [size=\"24946688\", alpha=\"0.16\", expect_size=\"12473344\"] \n  2 -> 3 [size =\"12473344\"]\n  3 [size=\"98224128\", alpha=\"0.18\", expect_size=\"49112064\"] \n  3 -> 4 [size =\"49112064\"]\n  4 [size=\"43071488\", alpha=\"0.13\", expect_size=\"21535744\"] \n  4 -> 5 [size =\"21535744\"]\n  5 [size=\"52197376\", alpha=\"0.06\", expect_size=\"26098688\"] \n  5 -> 6 [size =\"26098688\"]\n  6 [size=\"89153536\", alpha=\"0.09\", expect_size=\"44576768\"] \n  6 -> 7 [size =\"44576768\"]\n  7 [size=\"103653376\", alpha=\"0.01\", expect_size=\"51826688\"] \n  7 -> 8 [size =\"51826688\"]\n  8 [size=\"25522176\", alpha=\"0.15\", expect_size=\"12761088\"] \n  8 -> 9 [size =\"12761088\"]\n  9 [size=\"89100288\", alpha=\"0.20\", expect_size=\"44550144\"] \n  9 -> 10 [size =\"44550144\"]\n  10 [size=\"46141440\", alpha=\"0.11\", expect_size=\"23070720\"] \n  10 -> 11 [size =\"23070720\"]\n  11 [size=\"89683968\", alpha=\"0.09\", expect_size=\"44841984\"] \n  11 -> 12 [size =\"44841984\"]\n  12 [size=\"38543360\", alpha=\"0.08\", expect_size=\"19271680\"] \n  12 -> 13 [size =\"19271680\"]\n  13 [size=\"21587968\", alpha=\"0.10\", expect_size=\"10793984\"] \n  13 -> 14 [size =\"10793984\"]\n  14 [size=\"13096960\", alpha=\"0.14\", expect_size=\"6548480\"] \n  14 -> 15 [size =\"6548480\"]\n  15 [size=\"76740608\", alpha=\"0.03\", expect_size=\"38370304\"] \n  15 -> 16 [size =\"38370304\"]\n  16 [size=\"10981376\", alpha=\"0.02\", expect_size=\"5490688\"] \n  16 -> 17 [size =\"5490688\"]\n  17 [size=\"54525952\", alpha=\"0.15\", expect_size=\"27262976\"] \n  17 -> 18 [size =\"27262976\"]\n  18 [size=\"59271168\", alpha=\"0.06\", expect_size=\"29635584\"] \n  18 -> 19 [size =\"29635584\"]\n  19 [size=\"33507328\", alpha=\"0.04\", expect_size=\"16753664\"] \n  19 -> 20 [size =\"16753664\"]\n  20 [size=\"32053248\", alpha=\"0.20\", expect_size=\"16026624\"] \n  20 -> 21 [size =\"16026624\"]\n  21 [size=\"86007808\", alpha=\"0.11\", expect_size=\"43003904\"] \n  21 -> 22 [size =\"43003904\"]\n  22 [size=\"33669120\", alpha=\"0.05\", expect_size=\"16834560\"] \n  22 -> 23 [size =\"16834560\"]\n  23 [size=\"69718016\", alpha=\"0.18\", expect_size=\"34859008\"] \n  23 -> 24 [size =\"34859008\"]\n  24 [size=\"24653824\", alpha=\"0.17\", expect_size=\"12326912\"] \n  24 -> 25 [size =\"12326912\"]\n  25 [size=\"88832000\", alpha=\"0.05\", expect_size=\"44416000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52886187\", alpha=\"0.07\", expect_size=\"15865856\"] \n  1 -> 2 [size =\"15865856\"]\n  2 [size=\"69874347\", alpha=\"0.01\", expect_size=\"20962304\"] \n  2 -> 3 [size =\"20962304\"]\n  3 [size=\"68625067\", alpha=\"0.05\", expect_size=\"20587520\"] \n  3 -> 4 [size =\"20587520\"]\n  4 [size=\"77168640\", alpha=\"0.09\", expect_size=\"23150592\"] \n  4 -> 5 [size =\"23150592\"]\n  5 [size=\"48363520\", alpha=\"0.13\", expect_size=\"14509056\"] \n  5 -> 6 [size =\"14509056\"]\n  6 [size=\"57579520\", alpha=\"0.13\", expect_size=\"17273856\"] \n  6 -> 7 [size =\"17273856\"]\n  7 [size=\"50240853\", alpha=\"0.14\", expect_size=\"15072256\"] \n  7 -> 8 [size =\"15072256\"]\n  8 [size=\"142680747\", alpha=\"0.08\", expect_size=\"42804224\"] \n  8 -> 9 [size =\"42804224\"]\n  9 [size=\"151435947\", alpha=\"0.06\", expect_size=\"45430784\"] \n  9 -> 10 [size =\"45430784\"]\n  10 [size=\"174684160\", alpha=\"0.13\", expect_size=\"52405248\"] \n  10 -> 11 [size =\"52405248\"]\n  11 [size=\"82496853\", alpha=\"0.19\", expect_size=\"24749056\"] \n  11 -> 12 [size =\"24749056\"]\n  12 [size=\"136113493\", alpha=\"0.20\", expect_size=\"40834048\"] \n  12 -> 13 [size =\"40834048\"]\n  13 [size=\"142769493\", alpha=\"0.11\", expect_size=\"42830848\"] \n  13 -> 14 [size =\"42830848\"]\n  14 [size=\"22449493\", alpha=\"0.01\", expect_size=\"6734848\"] \n  14 -> 15 [size =\"6734848\"]\n  15 [size=\"91398827\", alpha=\"0.08\", expect_size=\"27419648\"] \n  15 -> 16 [size =\"27419648\"]\n  16 [size=\"40277333\", alpha=\"0.06\", expect_size=\"12083200\"] \n  16 -> 17 [size =\"12083200\"]\n  17 [size=\"143035733\", alpha=\"0.19\", expect_size=\"42910720\"] \n  17 -> 18 [size =\"42910720\"]\n  18 [size=\"99170987\", alpha=\"0.07\", expect_size=\"29751296\"] \n  18 -> 19 [size =\"29751296\"]\n  19 [size=\"165437440\", alpha=\"0.20\", expect_size=\"49631232\"] \n  19 -> 20 [size =\"49631232\"]\n  20 [size=\"58146133\", alpha=\"0.17\", expect_size=\"17443840\"] \n  20 -> 21 [size =\"17443840\"]\n  21 [size=\"158897493\", alpha=\"0.19\", expect_size=\"47669248\"] \n  21 -> 22 [size =\"47669248\"]\n  22 [size=\"147264853\", alpha=\"0.08\", expect_size=\"44179456\"] \n  22 -> 23 [size =\"44179456\"]\n  23 [size=\"144339627\", alpha=\"0.03\", expect_size=\"43301888\"] \n  23 -> 24 [size =\"43301888\"]\n  24 [size=\"76008107\", alpha=\"0.06\", expect_size=\"22802432\"] \n  24 -> 25 [size =\"22802432\"]\n  25 [size=\"81240747\", alpha=\"0.13\", expect_size=\"24372224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124385280\", alpha=\"0.05\", expect_size=\"37315584\"] \n  1 -> 2 [size =\"37315584\"]\n  2 [size=\"19524267\", alpha=\"0.15\", expect_size=\"5857280\"] \n  2 -> 3 [size =\"5857280\"]\n  3 [size=\"130792107\", alpha=\"0.11\", expect_size=\"39237632\"] \n  3 -> 4 [size =\"39237632\"]\n  4 [size=\"161133227\", alpha=\"0.04\", expect_size=\"48339968\"] \n  4 -> 5 [size =\"48339968\"]\n  5 [size=\"166956373\", alpha=\"0.01\", expect_size=\"50086912\"] \n  5 -> 6 [size =\"50086912\"]\n  6 [size=\"123828907\", alpha=\"0.07\", expect_size=\"37148672\"] \n  6 -> 7 [size =\"37148672\"]\n  7 [size=\"85067093\", alpha=\"0.08\", expect_size=\"25520128\"] \n  7 -> 8 [size =\"25520128\"]\n  8 [size=\"164389547\", alpha=\"0.03\", expect_size=\"49316864\"] \n  8 -> 9 [size =\"49316864\"]\n  9 [size=\"154842453\", alpha=\"0.14\", expect_size=\"46452736\"] \n  9 -> 10 [size =\"46452736\"]\n  10 [size=\"37396480\", alpha=\"0.05\", expect_size=\"11218944\"] \n  10 -> 11 [size =\"11218944\"]\n  11 [size=\"95590400\", alpha=\"0.19\", expect_size=\"28677120\"] \n  11 -> 12 [size =\"28677120\"]\n  12 [size=\"131570347\", alpha=\"0.13\", expect_size=\"39471104\"] \n  12 -> 13 [size =\"39471104\"]\n  13 [size=\"95580160\", alpha=\"0.14\", expect_size=\"28674048\"] \n  13 -> 14 [size =\"28674048\"]\n  14 [size=\"27828907\", alpha=\"0.19\", expect_size=\"8348672\"] \n  14 -> 15 [size =\"8348672\"]\n  15 [size=\"61542400\", alpha=\"0.05\", expect_size=\"18462720\"] \n  15 -> 16 [size =\"18462720\"]\n  16 [size=\"71331840\", alpha=\"0.01\", expect_size=\"21399552\"] \n  16 -> 17 [size =\"21399552\"]\n  17 [size=\"128706560\", alpha=\"0.15\", expect_size=\"38611968\"] \n  17 -> 18 [size =\"38611968\"]\n  18 [size=\"36915200\", alpha=\"0.01\", expect_size=\"11074560\"] \n  18 -> 19 [size =\"11074560\"]\n  19 [size=\"59873280\", alpha=\"0.18\", expect_size=\"17961984\"] \n  19 -> 20 [size =\"17961984\"]\n  20 [size=\"168113493\", alpha=\"0.08\", expect_size=\"50434048\"] \n  20 -> 21 [size =\"50434048\"]\n  21 [size=\"50810880\", alpha=\"0.11\", expect_size=\"15243264\"] \n  21 -> 22 [size =\"15243264\"]\n  22 [size=\"44584960\", alpha=\"0.15\", expect_size=\"13375488\"] \n  22 -> 23 [size =\"13375488\"]\n  23 [size=\"145981440\", alpha=\"0.13\", expect_size=\"43794432\"] \n  23 -> 24 [size =\"43794432\"]\n  24 [size=\"96232107\", alpha=\"0.10\", expect_size=\"28869632\"] \n  24 -> 25 [size =\"28869632\"]\n  25 [size=\"92156587\", alpha=\"0.05\", expect_size=\"27646976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19176960\", alpha=\"0.14\", expect_size=\"7670784\"] \n  1 -> 4 [size =\"7670784\"]\n  1 -> 5 [size =\"7670784\"]\n  1 -> 7 [size =\"7670784\"]\n  2 [size=\"105192960\", alpha=\"0.17\", expect_size=\"42077184\"] \n  2 -> 5 [size =\"42077184\"]\n  3 [size=\"115706880\", alpha=\"0.13\", expect_size=\"46282752\"] \n  3 -> 4 [size =\"46282752\"]\n  3 -> 6 [size =\"46282752\"]\n  3 -> 7 [size =\"46282752\"]\n  4 [size=\"88926720\", alpha=\"0.04\", expect_size=\"35570688\"] \n  4 -> 9 [size =\"35570688\"]\n  5 [size=\"23065600\", alpha=\"0.07\", expect_size=\"9226240\"] \n  5 -> 8 [size =\"9226240\"]\n  5 -> 11 [size =\"9226240\"]\n  6 [size=\"60656640\", alpha=\"0.01\", expect_size=\"24262656\"] \n  6 -> 10 [size =\"24262656\"]\n  7 [size=\"104174080\", alpha=\"0.02\", expect_size=\"41669632\"] \n  7 -> 8 [size =\"41669632\"]\n  7 -> 9 [size =\"41669632\"]\n  8 [size=\"63741440\", alpha=\"0.03\", expect_size=\"25496576\"] \n  9 [size=\"83105280\", alpha=\"0.02\", expect_size=\"33242112\"] \n  9 -> 13 [size =\"33242112\"]\n  9 -> 14 [size =\"33242112\"]\n  10 [size=\"23554560\", alpha=\"0.15\", expect_size=\"9421824\"] \n  10 -> 12 [size =\"9421824\"]\n  11 [size=\"44016640\", alpha=\"0.11\", expect_size=\"17606656\"] \n  11 -> 12 [size =\"17606656\"]\n  11 -> 14 [size =\"17606656\"]\n  12 [size=\"125949440\", alpha=\"0.17\", expect_size=\"50379776\"] \n  12 -> 17 [size =\"50379776\"]\n  13 [size=\"108183040\", alpha=\"0.14\", expect_size=\"43273216\"] \n  13 -> 15 [size =\"43273216\"]\n  14 [size=\"65802240\", alpha=\"0.02\", expect_size=\"26320896\"] \n  14 -> 15 [size =\"26320896\"]\n  14 -> 16 [size =\"26320896\"]\n  14 -> 17 [size =\"26320896\"]\n  14 -> 18 [size =\"26320896\"]\n  15 [size=\"88929280\", alpha=\"0.10\", expect_size=\"35571712\"] \n  15 -> 22 [size =\"35571712\"]\n  16 [size=\"127784960\", alpha=\"0.04\", expect_size=\"51113984\"] \n  16 -> 19 [size =\"51113984\"]\n  16 -> 21 [size =\"51113984\"]\n  16 -> 22 [size =\"51113984\"]\n  17 [size=\"18621440\", alpha=\"0.10\", expect_size=\"7448576\"] \n  17 -> 20 [size =\"7448576\"]\n  18 [size=\"29240320\", alpha=\"0.17\", expect_size=\"11696128\"] \n  18 -> 20 [size =\"11696128\"]\n  18 -> 21 [size =\"11696128\"]\n  19 [size=\"44034560\", alpha=\"0.03\", expect_size=\"17613824\"] \n  19 -> 23 [size =\"17613824\"]\n  20 [size=\"54740480\", alpha=\"0.03\", expect_size=\"21896192\"] \n  21 [size=\"22955520\", alpha=\"0.03\", expect_size=\"9182208\"] \n  21 -> 23 [size =\"9182208\"]\n  22 [size=\"87511040\", alpha=\"0.19\", expect_size=\"35004416\"] \n  22 -> 24 [size =\"35004416\"]\n  22 -> 25 [size =\"35004416\"]\n  23 [size=\"71756800\", alpha=\"0.13\", expect_size=\"28702720\"] \n  24 [size=\"36974080\", alpha=\"0.19\", expect_size=\"14789632\"] \n  25 [size=\"48596480\", alpha=\"0.07\", expect_size=\"19438592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95594496\", alpha=\"0.12\", expect_size=\"47797248\"] \n  1 -> 17 [size =\"47797248\"]\n  1 -> 18 [size =\"47797248\"]\n  1 -> 24 [size =\"47797248\"]\n  1 -> 25 [size =\"47797248\"]\n  2 [size=\"65683456\", alpha=\"0.01\", expect_size=\"32841728\"] \n  2 -> 17 [size =\"32841728\"]\n  2 -> 18 [size =\"32841728\"]\n  2 -> 24 [size =\"32841728\"]\n  2 -> 25 [size =\"32841728\"]\n  3 [size=\"100757504\", alpha=\"0.12\", expect_size=\"50378752\"] \n  3 -> 18 [size =\"50378752\"]\n  3 -> 18 [size =\"50378752\"]\n  3 -> 19 [size =\"50378752\"]\n  3 -> 21 [size =\"50378752\"]\n  3 -> 22 [size =\"50378752\"]\n  3 -> 24 [size =\"50378752\"]\n  3 -> 25 [size =\"50378752\"]\n  4 [size=\"22151168\", alpha=\"0.19\", expect_size=\"11075584\"] \n  4 -> 18 [size =\"11075584\"]\n  4 -> 21 [size =\"11075584\"]\n  4 -> 24 [size =\"11075584\"]\n  5 [size=\"60647424\", alpha=\"0.10\", expect_size=\"30323712\"] \n  5 -> 18 [size =\"30323712\"]\n  5 -> 19 [size =\"30323712\"]\n  5 -> 20 [size =\"30323712\"]\n  5 -> 21 [size =\"30323712\"]\n  5 -> 22 [size =\"30323712\"]\n  5 -> 24 [size =\"30323712\"]\n  5 -> 25 [size =\"30323712\"]\n  6 [size=\"81661952\", alpha=\"0.07\", expect_size=\"40830976\"] \n  6 -> 18 [size =\"40830976\"]\n  6 -> 19 [size =\"40830976\"]\n  6 -> 22 [size =\"40830976\"]\n  6 -> 24 [size =\"40830976\"]\n  7 [size=\"74885120\", alpha=\"0.11\", expect_size=\"37442560\"] \n  7 -> 18 [size =\"37442560\"]\n  7 -> 19 [size =\"37442560\"]\n  7 -> 21 [size =\"37442560\"]\n  7 -> 22 [size =\"37442560\"]\n  7 -> 24 [size =\"37442560\"]\n  8 [size=\"39090176\", alpha=\"0.03\", expect_size=\"19545088\"] \n  8 -> 18 [size =\"19545088\"]\n  8 -> 19 [size =\"19545088\"]\n  8 -> 22 [size =\"19545088\"]\n  8 -> 24 [size =\"19545088\"]\n  9 [size=\"68978688\", alpha=\"0.14\", expect_size=\"34489344\"] \n  9 -> 18 [size =\"34489344\"]\n  9 -> 19 [size =\"34489344\"]\n  9 -> 23 [size =\"34489344\"]\n  9 -> 24 [size =\"34489344\"]\n  10 [size=\"86484992\", alpha=\"0.02\", expect_size=\"43242496\"] \n  10 -> 18 [size =\"43242496\"]\n  10 -> 19 [size =\"43242496\"]\n  10 -> 20 [size =\"43242496\"]\n  10 -> 22 [size =\"43242496\"]\n  10 -> 24 [size =\"43242496\"]\n  10 -> 25 [size =\"43242496\"]\n  11 [size=\"103489536\", alpha=\"0.09\", expect_size=\"51744768\"] \n  11 -> 18 [size =\"51744768\"]\n  11 -> 19 [size =\"51744768\"]\n  11 -> 22 [size =\"51744768\"]\n  11 -> 24 [size =\"51744768\"]\n  11 -> 25 [size =\"51744768\"]\n  12 [size=\"67510272\", alpha=\"0.04\", expect_size=\"33755136\"] \n  12 -> 19 [size =\"33755136\"]\n  12 -> 21 [size =\"33755136\"]\n  12 -> 25 [size =\"33755136\"]\n  13 [size=\"73267200\", alpha=\"0.02\", expect_size=\"36633600\"] \n  13 -> 21 [size =\"36633600\"]\n  13 -> 22 [size =\"36633600\"]\n  14 [size=\"33789952\", alpha=\"0.03\", expect_size=\"16894976\"] \n  14 -> 17 [size =\"16894976\"]\n  14 -> 24 [size =\"16894976\"]\n  15 [size=\"31428608\", alpha=\"0.12\", expect_size=\"15714304\"] \n  15 -> 18 [size =\"15714304\"]\n  15 -> 19 [size =\"15714304\"]\n  15 -> 21 [size =\"15714304\"]\n  15 -> 24 [size =\"15714304\"]\n  16 [size=\"76511232\", alpha=\"0.18\", expect_size=\"38255616\"] \n  16 -> 18 [size =\"38255616\"]\n  16 -> 22 [size =\"38255616\"]\n  16 -> 24 [size =\"38255616\"]\n  16 -> 25 [size =\"38255616\"]\n  17 [size=\"14661632\", alpha=\"0.06\", expect_size=\"7330816\"] \n  18 [size=\"68444160\", alpha=\"0.12\", expect_size=\"34222080\"] \n  19 [size=\"81618944\", alpha=\"0.05\", expect_size=\"40809472\"] \n  20 [size=\"53301248\", alpha=\"0.15\", expect_size=\"26650624\"] \n  21 [size=\"65064960\", alpha=\"0.03\", expect_size=\"32532480\"] \n  22 [size=\"13944832\", alpha=\"0.02\", expect_size=\"6972416\"] \n  23 [size=\"34508800\", alpha=\"0.01\", expect_size=\"17254400\"] \n  24 [size=\"45223936\", alpha=\"0.03\", expect_size=\"22611968\"] \n  25 [size=\"61270016\", alpha=\"0.15\", expect_size=\"30635008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70704640\", alpha=\"0.20\", expect_size=\"28281856\"] \n  1 -> 11 [size =\"28281856\"]\n  1 -> 14 [size =\"28281856\"]\n  2 [size=\"90112000\", alpha=\"0.01\", expect_size=\"36044800\"] \n  2 -> 14 [size =\"36044800\"]\n  3 [size=\"25216000\", alpha=\"0.17\", expect_size=\"10086400\"] \n  3 -> 11 [size =\"10086400\"]\n  3 -> 13 [size =\"10086400\"]\n  3 -> 14 [size =\"10086400\"]\n  4 [size=\"81633280\", alpha=\"0.17\", expect_size=\"32653312\"] \n  4 -> 11 [size =\"32653312\"]\n  4 -> 13 [size =\"32653312\"]\n  4 -> 14 [size =\"32653312\"]\n  5 [size=\"112627200\", alpha=\"0.04\", expect_size=\"45050880\"] \n  5 -> 11 [size =\"45050880\"]\n  5 -> 13 [size =\"45050880\"]\n  6 [size=\"92300800\", alpha=\"0.09\", expect_size=\"36920320\"] \n  6 -> 12 [size =\"36920320\"]\n  7 [size=\"69596160\", alpha=\"0.06\", expect_size=\"27838464\"] \n  7 -> 11 [size =\"27838464\"]\n  7 -> 12 [size =\"27838464\"]\n  7 -> 14 [size =\"27838464\"]\n  8 [size=\"25118720\", alpha=\"0.00\", expect_size=\"10047488\"] \n  8 -> 11 [size =\"10047488\"]\n  8 -> 12 [size =\"10047488\"]\n  8 -> 13 [size =\"10047488\"]\n  9 [size=\"58961920\", alpha=\"0.05\", expect_size=\"23584768\"] \n  9 -> 12 [size =\"23584768\"]\n  9 -> 12 [size =\"23584768\"]\n  10 [size=\"16663040\", alpha=\"0.15\", expect_size=\"6665216\"] \n  10 -> 11 [size =\"6665216\"]\n  11 [size=\"72540160\", alpha=\"0.15\", expect_size=\"29016064\"] \n  11 -> 16 [size =\"29016064\"]\n  11 -> 19 [size =\"29016064\"]\n  11 -> 21 [size =\"29016064\"]\n  11 -> 22 [size =\"29016064\"]\n  12 [size=\"70320640\", alpha=\"0.17\", expect_size=\"28128256\"] \n  12 -> 15 [size =\"28128256\"]\n  12 -> 16 [size =\"28128256\"]\n  12 -> 17 [size =\"28128256\"]\n  12 -> 18 [size =\"28128256\"]\n  12 -> 20 [size =\"28128256\"]\n  12 -> 22 [size =\"28128256\"]\n  13 [size=\"77895680\", alpha=\"0.05\", expect_size=\"31158272\"] \n  13 -> 15 [size =\"31158272\"]\n  13 -> 18 [size =\"31158272\"]\n  13 -> 19 [size =\"31158272\"]\n  13 -> 20 [size =\"31158272\"]\n  13 -> 21 [size =\"31158272\"]\n  13 -> 22 [size =\"31158272\"]\n  13 -> 23 [size =\"31158272\"]\n  14 [size=\"61148160\", alpha=\"0.06\", expect_size=\"24459264\"] \n  14 -> 18 [size =\"24459264\"]\n  14 -> 19 [size =\"24459264\"]\n  14 -> 21 [size =\"24459264\"]\n  15 [size=\"42447360\", alpha=\"0.01\", expect_size=\"16978944\"] \n  15 -> 25 [size =\"16978944\"]\n  16 [size=\"67228160\", alpha=\"0.18\", expect_size=\"26891264\"] \n  16 -> 25 [size =\"26891264\"]\n  17 [size=\"122344960\", alpha=\"0.09\", expect_size=\"48937984\"] \n  18 [size=\"37903360\", alpha=\"0.10\", expect_size=\"15161344\"] \n  18 -> 24 [size =\"15161344\"]\n  19 [size=\"38497280\", alpha=\"0.08\", expect_size=\"15398912\"] \n  20 [size=\"65351680\", alpha=\"0.07\", expect_size=\"26140672\"] \n  20 -> 24 [size =\"26140672\"]\n  21 [size=\"33966080\", alpha=\"0.16\", expect_size=\"13586432\"] \n  22 [size=\"123571200\", alpha=\"0.18\", expect_size=\"49428480\"] \n  23 [size=\"103080960\", alpha=\"0.01\", expect_size=\"41232384\"] \n  23 -> 25 [size =\"41232384\"]\n  24 [size=\"17315840\", alpha=\"0.17\", expect_size=\"6926336\"] \n  25 [size=\"51192320\", alpha=\"0.09\", expect_size=\"20476928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44599296\", alpha=\"0.14\", expect_size=\"22299648\"] \n  1 -> 9 [size =\"22299648\"]\n  1 -> 13 [size =\"22299648\"]\n  1 -> 14 [size =\"22299648\"]\n  2 [size=\"81164288\", alpha=\"0.15\", expect_size=\"40582144\"] \n  2 -> 12 [size =\"40582144\"]\n  2 -> 14 [size =\"40582144\"]\n  3 [size=\"22644736\", alpha=\"0.03\", expect_size=\"11322368\"] \n  3 -> 9 [size =\"11322368\"]\n  3 -> 12 [size =\"11322368\"]\n  4 [size=\"75894784\", alpha=\"0.05\", expect_size=\"37947392\"] \n  4 -> 10 [size =\"37947392\"]\n  4 -> 13 [size =\"37947392\"]\n  5 [size=\"78170112\", alpha=\"0.12\", expect_size=\"39085056\"] \n  5 -> 8 [size =\"39085056\"]\n  5 -> 11 [size =\"39085056\"]\n  5 -> 13 [size =\"39085056\"]\n  6 [size=\"11192320\", alpha=\"0.02\", expect_size=\"5596160\"] \n  6 -> 8 [size =\"5596160\"]\n  6 -> 14 [size =\"5596160\"]\n  7 [size=\"48189440\", alpha=\"0.15\", expect_size=\"24094720\"] \n  7 -> 14 [size =\"24094720\"]\n  8 [size=\"17901568\", alpha=\"0.08\", expect_size=\"8950784\"] \n  8 -> 16 [size =\"8950784\"]\n  8 -> 17 [size =\"8950784\"]\n  8 -> 18 [size =\"8950784\"]\n  8 -> 19 [size =\"8950784\"]\n  8 -> 21 [size =\"8950784\"]\n  8 -> 23 [size =\"8950784\"]\n  9 [size=\"66707456\", alpha=\"0.20\", expect_size=\"33353728\"] \n  9 -> 15 [size =\"33353728\"]\n  9 -> 18 [size =\"33353728\"]\n  9 -> 19 [size =\"33353728\"]\n  9 -> 20 [size =\"33353728\"]\n  9 -> 23 [size =\"33353728\"]\n  10 [size=\"100945920\", alpha=\"0.12\", expect_size=\"50472960\"] \n  10 -> 16 [size =\"50472960\"]\n  10 -> 18 [size =\"50472960\"]\n  10 -> 22 [size =\"50472960\"]\n  11 [size=\"65040384\", alpha=\"0.12\", expect_size=\"32520192\"] \n  11 -> 15 [size =\"32520192\"]\n  11 -> 18 [size =\"32520192\"]\n  11 -> 19 [size =\"32520192\"]\n  11 -> 24 [size =\"32520192\"]\n  12 [size=\"37683200\", alpha=\"0.05\", expect_size=\"18841600\"] \n  12 -> 17 [size =\"18841600\"]\n  12 -> 20 [size =\"18841600\"]\n  12 -> 21 [size =\"18841600\"]\n  13 [size=\"13330432\", alpha=\"0.01\", expect_size=\"6665216\"] \n  13 -> 23 [size =\"6665216\"]\n  13 -> 24 [size =\"6665216\"]\n  14 [size=\"29458432\", alpha=\"0.01\", expect_size=\"14729216\"] \n  14 -> 23 [size =\"14729216\"]\n  15 [size=\"55240704\", alpha=\"0.08\", expect_size=\"27620352\"] \n  16 [size=\"18597888\", alpha=\"0.08\", expect_size=\"9298944\"] \n  16 -> 25 [size =\"9298944\"]\n  17 [size=\"27484160\", alpha=\"0.14\", expect_size=\"13742080\"] \n  17 -> 25 [size =\"13742080\"]\n  18 [size=\"99747840\", alpha=\"0.13\", expect_size=\"49873920\"] \n  19 [size=\"45289472\", alpha=\"0.05\", expect_size=\"22644736\"] \n  20 [size=\"44537856\", alpha=\"0.04\", expect_size=\"22268928\"] \n  20 -> 25 [size =\"22268928\"]\n  21 [size=\"102096896\", alpha=\"0.09\", expect_size=\"51048448\"] \n  22 [size=\"62902272\", alpha=\"0.10\", expect_size=\"31451136\"] \n  23 [size=\"88489984\", alpha=\"0.14\", expect_size=\"44244992\"] \n  24 [size=\"93388800\", alpha=\"0.11\", expect_size=\"46694400\"] \n  25 [size=\"99186688\", alpha=\"0.02\", expect_size=\"49593344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97615360\", alpha=\"0.14\", expect_size=\"39046144\"] \n  1 -> 20 [size =\"39046144\"]\n  1 -> 22 [size =\"39046144\"]\n  1 -> 23 [size =\"39046144\"]\n  2 [size=\"61288960\", alpha=\"0.07\", expect_size=\"24515584\"] \n  2 -> 20 [size =\"24515584\"]\n  2 -> 22 [size =\"24515584\"]\n  2 -> 23 [size =\"24515584\"]\n  2 -> 24 [size =\"24515584\"]\n  2 -> 25 [size =\"24515584\"]\n  3 [size=\"47096320\", alpha=\"0.03\", expect_size=\"18838528\"] \n  3 -> 21 [size =\"18838528\"]\n  3 -> 23 [size =\"18838528\"]\n  3 -> 23 [size =\"18838528\"]\n  3 -> 24 [size =\"18838528\"]\n  4 [size=\"83138560\", alpha=\"0.16\", expect_size=\"33255424\"] \n  4 -> 20 [size =\"33255424\"]\n  5 [size=\"69721600\", alpha=\"0.11\", expect_size=\"27888640\"] \n  5 -> 21 [size =\"27888640\"]\n  5 -> 23 [size =\"27888640\"]\n  6 [size=\"53061120\", alpha=\"0.16\", expect_size=\"21224448\"] \n  6 -> 21 [size =\"21224448\"]\n  6 -> 24 [size =\"21224448\"]\n  6 -> 25 [size =\"21224448\"]\n  7 [size=\"26744320\", alpha=\"0.16\", expect_size=\"10697728\"] \n  7 -> 25 [size =\"10697728\"]\n  8 [size=\"75512320\", alpha=\"0.10\", expect_size=\"30204928\"] \n  8 -> 20 [size =\"30204928\"]\n  8 -> 25 [size =\"30204928\"]\n  9 [size=\"57669120\", alpha=\"0.15\", expect_size=\"23067648\"] \n  9 -> 21 [size =\"23067648\"]\n  9 -> 22 [size =\"23067648\"]\n  10 [size=\"35261440\", alpha=\"0.06\", expect_size=\"14104576\"] \n  10 -> 20 [size =\"14104576\"]\n  10 -> 21 [size =\"14104576\"]\n  10 -> 22 [size =\"14104576\"]\n  10 -> 23 [size =\"14104576\"]\n  10 -> 24 [size =\"14104576\"]\n  11 [size=\"53980160\", alpha=\"0.01\", expect_size=\"21592064\"] \n  11 -> 21 [size =\"21592064\"]\n  11 -> 21 [size =\"21592064\"]\n  11 -> 22 [size =\"21592064\"]\n  12 [size=\"21281280\", alpha=\"0.10\", expect_size=\"8512512\"] \n  12 -> 21 [size =\"8512512\"]\n  12 -> 23 [size =\"8512512\"]\n  12 -> 25 [size =\"8512512\"]\n  13 [size=\"60311040\", alpha=\"0.18\", expect_size=\"24124416\"] \n  13 -> 20 [size =\"24124416\"]\n  13 -> 21 [size =\"24124416\"]\n  14 [size=\"76582400\", alpha=\"0.07\", expect_size=\"30632960\"] \n  14 -> 20 [size =\"30632960\"]\n  14 -> 21 [size =\"30632960\"]\n  14 -> 22 [size =\"30632960\"]\n  15 [size=\"51184640\", alpha=\"0.11\", expect_size=\"20473856\"] \n  16 [size=\"117944320\", alpha=\"0.10\", expect_size=\"47177728\"] \n  16 -> 21 [size =\"47177728\"]\n  16 -> 25 [size =\"47177728\"]\n  17 [size=\"95956480\", alpha=\"0.04\", expect_size=\"38382592\"] \n  17 -> 24 [size =\"38382592\"]\n  18 [size=\"70461440\", alpha=\"0.08\", expect_size=\"28184576\"] \n  18 -> 20 [size =\"28184576\"]\n  18 -> 23 [size =\"28184576\"]\n  19 [size=\"130792960\", alpha=\"0.13\", expect_size=\"52317184\"] \n  19 -> 20 [size =\"52317184\"]\n  19 -> 24 [size =\"52317184\"]\n  19 -> 25 [size =\"52317184\"]\n  20 [size=\"101250560\", alpha=\"0.17\", expect_size=\"40500224\"] \n  21 [size=\"21329920\", alpha=\"0.15\", expect_size=\"8531968\"] \n  22 [size=\"30087680\", alpha=\"0.01\", expect_size=\"12035072\"] \n  23 [size=\"88696320\", alpha=\"0.13\", expect_size=\"35478528\"] \n  24 [size=\"76510720\", alpha=\"0.17\", expect_size=\"30604288\"] \n  25 [size=\"118571520\", alpha=\"0.11\", expect_size=\"47428608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95510528\", alpha=\"0.07\", expect_size=\"47755264\"] \n  1 -> 10 [size =\"47755264\"]\n  1 -> 11 [size =\"47755264\"]\n  1 -> 12 [size =\"47755264\"]\n  1 -> 13 [size =\"47755264\"]\n  1 -> 14 [size =\"47755264\"]\n  1 -> 17 [size =\"47755264\"]\n  2 [size=\"25161728\", alpha=\"0.18\", expect_size=\"12580864\"] \n  2 -> 9 [size =\"12580864\"]\n  2 -> 10 [size =\"12580864\"]\n  2 -> 13 [size =\"12580864\"]\n  2 -> 13 [size =\"12580864\"]\n  2 -> 16 [size =\"12580864\"]\n  2 -> 18 [size =\"12580864\"]\n  3 [size=\"65449984\", alpha=\"0.09\", expect_size=\"32724992\"] \n  3 -> 8 [size =\"32724992\"]\n  3 -> 16 [size =\"32724992\"]\n  4 [size=\"83955712\", alpha=\"0.10\", expect_size=\"41977856\"] \n  4 -> 9 [size =\"41977856\"]\n  4 -> 11 [size =\"41977856\"]\n  4 -> 14 [size =\"41977856\"]\n  4 -> 17 [size =\"41977856\"]\n  5 [size=\"21336064\", alpha=\"0.18\", expect_size=\"10668032\"] \n  5 -> 8 [size =\"10668032\"]\n  5 -> 10 [size =\"10668032\"]\n  5 -> 15 [size =\"10668032\"]\n  5 -> 17 [size =\"10668032\"]\n  6 [size=\"94392320\", alpha=\"0.16\", expect_size=\"47196160\"] \n  6 -> 9 [size =\"47196160\"]\n  6 -> 15 [size =\"47196160\"]\n  6 -> 18 [size =\"47196160\"]\n  7 [size=\"87601152\", alpha=\"0.06\", expect_size=\"43800576\"] \n  7 -> 9 [size =\"43800576\"]\n  7 -> 15 [size =\"43800576\"]\n  7 -> 16 [size =\"43800576\"]\n  8 [size=\"75804672\", alpha=\"0.07\", expect_size=\"37902336\"] \n  8 -> 19 [size =\"37902336\"]\n  8 -> 23 [size =\"37902336\"]\n  8 -> 24 [size =\"37902336\"]\n  8 -> 25 [size =\"37902336\"]\n  9 [size=\"30812160\", alpha=\"0.07\", expect_size=\"15406080\"] \n  9 -> 20 [size =\"15406080\"]\n  9 -> 23 [size =\"15406080\"]\n  9 -> 24 [size =\"15406080\"]\n  10 [size=\"101982208\", alpha=\"0.07\", expect_size=\"50991104\"] \n  11 [size=\"86130688\", alpha=\"0.19\", expect_size=\"43065344\"] \n  12 [size=\"25962496\", alpha=\"0.08\", expect_size=\"12981248\"] \n  13 [size=\"17829888\", alpha=\"0.11\", expect_size=\"8914944\"] \n  13 -> 20 [size =\"8914944\"]\n  13 -> 22 [size =\"8914944\"]\n  13 -> 23 [size =\"8914944\"]\n  13 -> 24 [size =\"8914944\"]\n  13 -> 25 [size =\"8914944\"]\n  14 [size=\"58873856\", alpha=\"0.19\", expect_size=\"29436928\"] \n  14 -> 19 [size =\"29436928\"]\n  14 -> 20 [size =\"29436928\"]\n  15 [size=\"104536064\", alpha=\"0.18\", expect_size=\"52268032\"] \n  15 -> 20 [size =\"52268032\"]\n  15 -> 23 [size =\"52268032\"]\n  16 [size=\"94322688\", alpha=\"0.11\", expect_size=\"47161344\"] \n  16 -> 22 [size =\"47161344\"]\n  16 -> 23 [size =\"47161344\"]\n  16 -> 24 [size =\"47161344\"]\n  17 [size=\"74444800\", alpha=\"0.06\", expect_size=\"37222400\"] \n  17 -> 21 [size =\"37222400\"]\n  17 -> 23 [size =\"37222400\"]\n  18 [size=\"103274496\", alpha=\"0.16\", expect_size=\"51637248\"] \n  18 -> 20 [size =\"51637248\"]\n  18 -> 21 [size =\"51637248\"]\n  18 -> 22 [size =\"51637248\"]\n  19 [size=\"40771584\", alpha=\"0.05\", expect_size=\"20385792\"] \n  20 [size=\"75034624\", alpha=\"0.01\", expect_size=\"37517312\"] \n  21 [size=\"14290944\", alpha=\"0.14\", expect_size=\"7145472\"] \n  22 [size=\"104613888\", alpha=\"0.11\", expect_size=\"52306944\"] \n  23 [size=\"47011840\", alpha=\"0.19\", expect_size=\"23505920\"] \n  24 [size=\"99876864\", alpha=\"0.03\", expect_size=\"49938432\"] \n  25 [size=\"96534528\", alpha=\"0.09\", expect_size=\"48267264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89422507\", alpha=\"0.12\", expect_size=\"26826752\"] \n  1 -> 2 [size =\"26826752\"]\n  2 [size=\"41710933\", alpha=\"0.04\", expect_size=\"12513280\"] \n  2 -> 3 [size =\"12513280\"]\n  3 [size=\"122419200\", alpha=\"0.03\", expect_size=\"36725760\"] \n  3 -> 4 [size =\"36725760\"]\n  4 [size=\"128757760\", alpha=\"0.19\", expect_size=\"38627328\"] \n  4 -> 5 [size =\"38627328\"]\n  5 [size=\"30692693\", alpha=\"0.19\", expect_size=\"9207808\"] \n  5 -> 6 [size =\"9207808\"]\n  6 [size=\"148739413\", alpha=\"0.04\", expect_size=\"44621824\"] \n  6 -> 7 [size =\"44621824\"]\n  7 [size=\"82626560\", alpha=\"0.04\", expect_size=\"24787968\"] \n  7 -> 8 [size =\"24787968\"]\n  8 [size=\"87732907\", alpha=\"0.12\", expect_size=\"26319872\"] \n  8 -> 9 [size =\"26319872\"]\n  9 [size=\"130747733\", alpha=\"0.01\", expect_size=\"39224320\"] \n  9 -> 10 [size =\"39224320\"]\n  10 [size=\"118667947\", alpha=\"0.12\", expect_size=\"35600384\"] \n  10 -> 11 [size =\"35600384\"]\n  11 [size=\"63368533\", alpha=\"0.17\", expect_size=\"19010560\"] \n  11 -> 12 [size =\"19010560\"]\n  12 [size=\"158194347\", alpha=\"0.06\", expect_size=\"47458304\"] \n  12 -> 13 [size =\"47458304\"]\n  13 [size=\"31945387\", alpha=\"0.02\", expect_size=\"9583616\"] \n  13 -> 14 [size =\"9583616\"]\n  14 [size=\"52968107\", alpha=\"0.08\", expect_size=\"15890432\"] \n  14 -> 15 [size =\"15890432\"]\n  15 [size=\"42994347\", alpha=\"0.04\", expect_size=\"12898304\"] \n  15 -> 16 [size =\"12898304\"]\n  16 [size=\"36693333\", alpha=\"0.13\", expect_size=\"11008000\"] \n  16 -> 17 [size =\"11008000\"]\n  17 [size=\"70823253\", alpha=\"0.03\", expect_size=\"21246976\"] \n  17 -> 18 [size =\"21246976\"]\n  18 [size=\"99454293\", alpha=\"0.19\", expect_size=\"29836288\"] \n  18 -> 19 [size =\"29836288\"]\n  19 [size=\"36529493\", alpha=\"0.15\", expect_size=\"10958848\"] \n  19 -> 20 [size =\"10958848\"]\n  20 [size=\"41427627\", alpha=\"0.12\", expect_size=\"12428288\"] \n  20 -> 21 [size =\"12428288\"]\n  21 [size=\"131935573\", alpha=\"0.20\", expect_size=\"39580672\"] \n  21 -> 22 [size =\"39580672\"]\n  22 [size=\"104970240\", alpha=\"0.10\", expect_size=\"31491072\"] \n  22 -> 23 [size =\"31491072\"]\n  23 [size=\"154426027\", alpha=\"0.13\", expect_size=\"46327808\"] \n  23 -> 24 [size =\"46327808\"]\n  24 [size=\"173100373\", alpha=\"0.11\", expect_size=\"51930112\"] \n  24 -> 25 [size =\"51930112\"]\n  25 [size=\"77277867\", alpha=\"0.10\", expect_size=\"23183360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23589547\", alpha=\"0.07\", expect_size=\"7076864\"] \n  1 -> 21 [size =\"7076864\"]\n  1 -> 22 [size =\"7076864\"]\n  1 -> 25 [size =\"7076864\"]\n  2 [size=\"55401813\", alpha=\"0.12\", expect_size=\"16620544\"] \n  2 -> 23 [size =\"16620544\"]\n  3 [size=\"116592640\", alpha=\"0.04\", expect_size=\"34977792\"] \n  3 -> 16 [size =\"34977792\"]\n  3 -> 22 [size =\"34977792\"]\n  4 [size=\"29388800\", alpha=\"0.02\", expect_size=\"8816640\"] \n  4 -> 16 [size =\"8816640\"]\n  4 -> 20 [size =\"8816640\"]\n  4 -> 23 [size =\"8816640\"]\n  5 [size=\"165669547\", alpha=\"0.13\", expect_size=\"49700864\"] \n  5 -> 16 [size =\"49700864\"]\n  5 -> 17 [size =\"49700864\"]\n  5 -> 20 [size =\"49700864\"]\n  5 -> 21 [size =\"49700864\"]\n  5 -> 22 [size =\"49700864\"]\n  5 -> 23 [size =\"49700864\"]\n  6 [size=\"86565547\", alpha=\"0.06\", expect_size=\"25969664\"] \n  6 -> 18 [size =\"25969664\"]\n  6 -> 21 [size =\"25969664\"]\n  6 -> 22 [size =\"25969664\"]\n  7 [size=\"106745173\", alpha=\"0.11\", expect_size=\"32023552\"] \n  7 -> 17 [size =\"32023552\"]\n  7 -> 19 [size =\"32023552\"]\n  7 -> 21 [size =\"32023552\"]\n  7 -> 22 [size =\"32023552\"]\n  7 -> 23 [size =\"32023552\"]\n  8 [size=\"61026987\", alpha=\"0.18\", expect_size=\"18308096\"] \n  8 -> 16 [size =\"18308096\"]\n  8 -> 17 [size =\"18308096\"]\n  8 -> 20 [size =\"18308096\"]\n  8 -> 21 [size =\"18308096\"]\n  8 -> 23 [size =\"18308096\"]\n  9 [size=\"121538560\", alpha=\"0.17\", expect_size=\"36461568\"] \n  9 -> 16 [size =\"36461568\"]\n  9 -> 23 [size =\"36461568\"]\n  9 -> 24 [size =\"36461568\"]\n  10 [size=\"112022187\", alpha=\"0.01\", expect_size=\"33606656\"] \n  10 -> 16 [size =\"33606656\"]\n  10 -> 19 [size =\"33606656\"]\n  10 -> 20 [size =\"33606656\"]\n  11 [size=\"55896747\", alpha=\"0.15\", expect_size=\"16769024\"] \n  11 -> 16 [size =\"16769024\"]\n  11 -> 17 [size =\"16769024\"]\n  11 -> 19 [size =\"16769024\"]\n  11 -> 20 [size =\"16769024\"]\n  11 -> 21 [size =\"16769024\"]\n  11 -> 23 [size =\"16769024\"]\n  11 -> 25 [size =\"16769024\"]\n  12 [size=\"108492800\", alpha=\"0.17\", expect_size=\"32547840\"] \n  12 -> 16 [size =\"32547840\"]\n  12 -> 19 [size =\"32547840\"]\n  12 -> 19 [size =\"32547840\"]\n  12 -> 21 [size =\"32547840\"]\n  12 -> 23 [size =\"32547840\"]\n  12 -> 25 [size =\"32547840\"]\n  12 -> 25 [size =\"32547840\"]\n  13 [size=\"47155200\", alpha=\"0.05\", expect_size=\"14146560\"] \n  13 -> 19 [size =\"14146560\"]\n  13 -> 19 [size =\"14146560\"]\n  13 -> 23 [size =\"14146560\"]\n  14 [size=\"79517013\", alpha=\"0.13\", expect_size=\"23855104\"] \n  14 -> 19 [size =\"23855104\"]\n  14 -> 22 [size =\"23855104\"]\n  14 -> 25 [size =\"23855104\"]\n  15 [size=\"96638293\", alpha=\"0.12\", expect_size=\"28991488\"] \n  15 -> 16 [size =\"28991488\"]\n  15 -> 25 [size =\"28991488\"]\n  16 [size=\"45062827\", alpha=\"0.05\", expect_size=\"13518848\"] \n  17 [size=\"93009920\", alpha=\"0.06\", expect_size=\"27902976\"] \n  18 [size=\"18363733\", alpha=\"0.08\", expect_size=\"5509120\"] \n  19 [size=\"162631680\", alpha=\"0.18\", expect_size=\"48789504\"] \n  20 [size=\"137629013\", alpha=\"0.06\", expect_size=\"41288704\"] \n  21 [size=\"148899840\", alpha=\"0.15\", expect_size=\"44669952\"] \n  22 [size=\"110028800\", alpha=\"0.10\", expect_size=\"33008640\"] \n  23 [size=\"86763520\", alpha=\"0.16\", expect_size=\"26029056\"] \n  24 [size=\"129611093\", alpha=\"0.04\", expect_size=\"38883328\"] \n  25 [size=\"75325440\", alpha=\"0.11\", expect_size=\"22597632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60633088\", alpha=\"0.14\", expect_size=\"30316544\"] \n  1 -> 3 [size =\"30316544\"]\n  2 [size=\"21991424\", alpha=\"0.00\", expect_size=\"10995712\"] \n  2 -> 3 [size =\"10995712\"]\n  3 [size=\"14702592\", alpha=\"0.01\", expect_size=\"7351296\"] \n  3 -> 4 [size =\"7351296\"]\n  4 [size=\"44265472\", alpha=\"0.14\", expect_size=\"22132736\"] \n  4 -> 5 [size =\"22132736\"]\n  5 [size=\"69810176\", alpha=\"0.04\", expect_size=\"34905088\"] \n  5 -> 6 [size =\"34905088\"]\n  6 [size=\"83001344\", alpha=\"0.07\", expect_size=\"41500672\"] \n  6 -> 7 [size =\"41500672\"]\n  7 [size=\"99772416\", alpha=\"0.11\", expect_size=\"49886208\"] \n  7 -> 8 [size =\"49886208\"]\n  8 [size=\"27602944\", alpha=\"0.06\", expect_size=\"13801472\"] \n  8 -> 9 [size =\"13801472\"]\n  9 [size=\"64661504\", alpha=\"0.10\", expect_size=\"32330752\"] \n  9 -> 10 [size =\"32330752\"]\n  10 [size=\"56866816\", alpha=\"0.00\", expect_size=\"28433408\"] \n  10 -> 11 [size =\"28433408\"]\n  11 [size=\"52944896\", alpha=\"0.03\", expect_size=\"26472448\"] \n  11 -> 12 [size =\"26472448\"]\n  11 -> 13 [size =\"26472448\"]\n  12 [size=\"24750080\", alpha=\"0.01\", expect_size=\"12375040\"] \n  12 -> 14 [size =\"12375040\"]\n  13 [size=\"25321472\", alpha=\"0.18\", expect_size=\"12660736\"] \n  13 -> 14 [size =\"12660736\"]\n  14 [size=\"31510528\", alpha=\"0.18\", expect_size=\"15755264\"] \n  14 -> 15 [size =\"15755264\"]\n  14 -> 16 [size =\"15755264\"]\n  15 [size=\"98527232\", alpha=\"0.17\", expect_size=\"49263616\"] \n  15 -> 17 [size =\"49263616\"]\n  16 [size=\"20733952\", alpha=\"0.02\", expect_size=\"10366976\"] \n  16 -> 17 [size =\"10366976\"]\n  17 [size=\"55975936\", alpha=\"0.14\", expect_size=\"27987968\"] \n  17 -> 18 [size =\"27987968\"]\n  17 -> 19 [size =\"27987968\"]\n  18 [size=\"15185920\", alpha=\"0.07\", expect_size=\"7592960\"] \n  18 -> 20 [size =\"7592960\"]\n  19 [size=\"42115072\", alpha=\"0.13\", expect_size=\"21057536\"] \n  19 -> 20 [size =\"21057536\"]\n  19 -> 21 [size =\"21057536\"]\n  20 [size=\"88266752\", alpha=\"0.17\", expect_size=\"44133376\"] \n  20 -> 23 [size =\"44133376\"]\n  21 [size=\"89550848\", alpha=\"0.11\", expect_size=\"44775424\"] \n  21 -> 22 [size =\"44775424\"]\n  21 -> 23 [size =\"44775424\"]\n  22 [size=\"101728256\", alpha=\"0.08\", expect_size=\"50864128\"] \n  22 -> 24 [size =\"50864128\"]\n  22 -> 25 [size =\"50864128\"]\n  23 [size=\"11513856\", alpha=\"0.06\", expect_size=\"5756928\"] \n  23 -> 24 [size =\"5756928\"]\n  23 -> 25 [size =\"5756928\"]\n  24 [size=\"96477184\", alpha=\"0.11\", expect_size=\"48238592\"] \n  25 [size=\"87283712\", alpha=\"0.08\", expect_size=\"43641856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62586880\", alpha=\"0.05\", expect_size=\"18776064\"] \n  1 -> 6 [size =\"18776064\"]\n  2 [size=\"133771947\", alpha=\"0.10\", expect_size=\"40131584\"] \n  2 -> 4 [size =\"40131584\"]\n  2 -> 5 [size =\"40131584\"]\n  2 -> 7 [size =\"40131584\"]\n  3 [size=\"66324480\", alpha=\"0.06\", expect_size=\"19897344\"] \n  3 -> 6 [size =\"19897344\"]\n  3 -> 7 [size =\"19897344\"]\n  4 [size=\"79110827\", alpha=\"0.09\", expect_size=\"23733248\"] \n  4 -> 9 [size =\"23733248\"]\n  4 -> 11 [size =\"23733248\"]\n  5 [size=\"165956267\", alpha=\"0.15\", expect_size=\"49786880\"] \n  5 -> 10 [size =\"49786880\"]\n  6 [size=\"68857173\", alpha=\"0.10\", expect_size=\"20657152\"] \n  6 -> 11 [size =\"20657152\"]\n  7 [size=\"68177920\", alpha=\"0.05\", expect_size=\"20453376\"] \n  7 -> 8 [size =\"20453376\"]\n  7 -> 9 [size =\"20453376\"]\n  8 [size=\"127040853\", alpha=\"0.08\", expect_size=\"38112256\"] \n  8 -> 13 [size =\"38112256\"]\n  9 [size=\"152398507\", alpha=\"0.03\", expect_size=\"45719552\"] \n  9 -> 12 [size =\"45719552\"]\n  9 -> 13 [size =\"45719552\"]\n  10 [size=\"67208533\", alpha=\"0.05\", expect_size=\"20162560\"] \n  10 -> 14 [size =\"20162560\"]\n  11 [size=\"152081067\", alpha=\"0.02\", expect_size=\"45624320\"] \n  11 -> 14 [size =\"45624320\"]\n  12 [size=\"34897920\", alpha=\"0.07\", expect_size=\"10469376\"] \n  12 -> 15 [size =\"10469376\"]\n  12 -> 18 [size =\"10469376\"]\n  13 [size=\"110909440\", alpha=\"0.05\", expect_size=\"33272832\"] \n  13 -> 17 [size =\"33272832\"]\n  13 -> 18 [size =\"33272832\"]\n  14 [size=\"155770880\", alpha=\"0.05\", expect_size=\"46731264\"] \n  14 -> 16 [size =\"46731264\"]\n  15 [size=\"65648640\", alpha=\"0.12\", expect_size=\"19694592\"] \n  15 -> 19 [size =\"19694592\"]\n  15 -> 20 [size =\"19694592\"]\n  15 -> 21 [size =\"19694592\"]\n  16 [size=\"25029973\", alpha=\"0.07\", expect_size=\"7508992\"] \n  16 -> 21 [size =\"7508992\"]\n  17 [size=\"106485760\", alpha=\"0.17\", expect_size=\"31945728\"] \n  17 -> 20 [size =\"31945728\"]\n  18 [size=\"148329813\", alpha=\"0.14\", expect_size=\"44498944\"] \n  19 [size=\"51029333\", alpha=\"0.07\", expect_size=\"15308800\"] \n  19 -> 24 [size =\"15308800\"]\n  19 -> 25 [size =\"15308800\"]\n  20 [size=\"71574187\", alpha=\"0.11\", expect_size=\"21472256\"] \n  20 -> 23 [size =\"21472256\"]\n  21 [size=\"111656960\", alpha=\"0.01\", expect_size=\"33497088\"] \n  21 -> 22 [size =\"33497088\"]\n  21 -> 23 [size =\"33497088\"]\n  21 -> 25 [size =\"33497088\"]\n  22 [size=\"128447147\", alpha=\"0.06\", expect_size=\"38534144\"] \n  23 [size=\"23033173\", alpha=\"0.17\", expect_size=\"6909952\"] \n  24 [size=\"60456960\", alpha=\"0.16\", expect_size=\"18137088\"] \n  25 [size=\"97187840\", alpha=\"0.14\", expect_size=\"29156352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24599040\", alpha=\"0.11\", expect_size=\"9839616\"] \n  1 -> 10 [size =\"9839616\"]\n  1 -> 11 [size =\"9839616\"]\n  1 -> 13 [size =\"9839616\"]\n  1 -> 14 [size =\"9839616\"]\n  1 -> 16 [size =\"9839616\"]\n  1 -> 17 [size =\"9839616\"]\n  2 [size=\"102776320\", alpha=\"0.09\", expect_size=\"41110528\"] \n  2 -> 10 [size =\"41110528\"]\n  2 -> 11 [size =\"41110528\"]\n  2 -> 13 [size =\"41110528\"]\n  2 -> 14 [size =\"41110528\"]\n  2 -> 15 [size =\"41110528\"]\n  2 -> 17 [size =\"41110528\"]\n  3 [size=\"62929920\", alpha=\"0.11\", expect_size=\"25171968\"] \n  3 -> 10 [size =\"25171968\"]\n  3 -> 12 [size =\"25171968\"]\n  3 -> 13 [size =\"25171968\"]\n  3 -> 14 [size =\"25171968\"]\n  3 -> 15 [size =\"25171968\"]\n  3 -> 17 [size =\"25171968\"]\n  4 [size=\"46538240\", alpha=\"0.18\", expect_size=\"18615296\"] \n  4 -> 10 [size =\"18615296\"]\n  4 -> 12 [size =\"18615296\"]\n  4 -> 14 [size =\"18615296\"]\n  4 -> 17 [size =\"18615296\"]\n  5 [size=\"36864000\", alpha=\"0.00\", expect_size=\"14745600\"] \n  5 -> 14 [size =\"14745600\"]\n  5 -> 15 [size =\"14745600\"]\n  5 -> 17 [size =\"14745600\"]\n  5 -> 17 [size =\"14745600\"]\n  6 [size=\"49635840\", alpha=\"0.20\", expect_size=\"19854336\"] \n  6 -> 10 [size =\"19854336\"]\n  6 -> 11 [size =\"19854336\"]\n  6 -> 12 [size =\"19854336\"]\n  6 -> 14 [size =\"19854336\"]\n  6 -> 16 [size =\"19854336\"]\n  7 [size=\"112862720\", alpha=\"0.20\", expect_size=\"45145088\"] \n  7 -> 10 [size =\"45145088\"]\n  7 -> 11 [size =\"45145088\"]\n  7 -> 13 [size =\"45145088\"]\n  7 -> 14 [size =\"45145088\"]\n  8 [size=\"127715840\", alpha=\"0.18\", expect_size=\"51086336\"] \n  8 -> 10 [size =\"51086336\"]\n  8 -> 11 [size =\"51086336\"]\n  8 -> 12 [size =\"51086336\"]\n  8 -> 13 [size =\"51086336\"]\n  8 -> 16 [size =\"51086336\"]\n  8 -> 17 [size =\"51086336\"]\n  9 [size=\"89830400\", alpha=\"0.20\", expect_size=\"35932160\"] \n  9 -> 11 [size =\"35932160\"]\n  9 -> 11 [size =\"35932160\"]\n  9 -> 13 [size =\"35932160\"]\n  9 -> 14 [size =\"35932160\"]\n  9 -> 15 [size =\"35932160\"]\n  9 -> 17 [size =\"35932160\"]\n  10 [size=\"25548800\", alpha=\"0.02\", expect_size=\"10219520\"] \n  10 -> 18 [size =\"10219520\"]\n  10 -> 19 [size =\"10219520\"]\n  10 -> 22 [size =\"10219520\"]\n  10 -> 23 [size =\"10219520\"]\n  10 -> 25 [size =\"10219520\"]\n  11 [size=\"67194880\", alpha=\"0.11\", expect_size=\"26877952\"] \n  11 -> 20 [size =\"26877952\"]\n  11 -> 21 [size =\"26877952\"]\n  11 -> 22 [size =\"26877952\"]\n  11 -> 23 [size =\"26877952\"]\n  11 -> 25 [size =\"26877952\"]\n  12 [size=\"15779840\", alpha=\"0.08\", expect_size=\"6311936\"] \n  12 -> 19 [size =\"6311936\"]\n  12 -> 21 [size =\"6311936\"]\n  12 -> 22 [size =\"6311936\"]\n  12 -> 23 [size =\"6311936\"]\n  12 -> 25 [size =\"6311936\"]\n  13 [size=\"70161920\", alpha=\"0.03\", expect_size=\"28064768\"] \n  13 -> 19 [size =\"28064768\"]\n  13 -> 20 [size =\"28064768\"]\n  13 -> 23 [size =\"28064768\"]\n  13 -> 23 [size =\"28064768\"]\n  13 -> 24 [size =\"28064768\"]\n  13 -> 25 [size =\"28064768\"]\n  14 [size=\"16463360\", alpha=\"0.12\", expect_size=\"6585344\"] \n  14 -> 20 [size =\"6585344\"]\n  14 -> 21 [size =\"6585344\"]\n  14 -> 24 [size =\"6585344\"]\n  14 -> 25 [size =\"6585344\"]\n  15 [size=\"121351680\", alpha=\"0.07\", expect_size=\"48540672\"] \n  15 -> 19 [size =\"48540672\"]\n  15 -> 21 [size =\"48540672\"]\n  15 -> 23 [size =\"48540672\"]\n  15 -> 25 [size =\"48540672\"]\n  16 [size=\"123921920\", alpha=\"0.02\", expect_size=\"49568768\"] \n  16 -> 19 [size =\"49568768\"]\n  16 -> 23 [size =\"49568768\"]\n  17 [size=\"123691520\", alpha=\"0.07\", expect_size=\"49476608\"] \n  17 -> 19 [size =\"49476608\"]\n  17 -> 21 [size =\"49476608\"]\n  17 -> 22 [size =\"49476608\"]\n  17 -> 24 [size =\"49476608\"]\n  17 -> 25 [size =\"49476608\"]\n  18 [size=\"123594240\", alpha=\"0.12\", expect_size=\"49437696\"] \n  19 [size=\"113528320\", alpha=\"0.20\", expect_size=\"45411328\"] \n  20 [size=\"110832640\", alpha=\"0.05\", expect_size=\"44333056\"] \n  21 [size=\"122255360\", alpha=\"0.12\", expect_size=\"48902144\"] \n  22 [size=\"67143680\", alpha=\"0.14\", expect_size=\"26857472\"] \n  23 [size=\"115468800\", alpha=\"0.05\", expect_size=\"46187520\"] \n  24 [size=\"17310720\", alpha=\"0.02\", expect_size=\"6924288\"] \n  25 [size=\"85959680\", alpha=\"0.02\", expect_size=\"34383872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80202240\", alpha=\"0.10\", expect_size=\"32080896\"] \n  1 -> 19 [size =\"32080896\"]\n  1 -> 21 [size =\"32080896\"]\n  1 -> 21 [size =\"32080896\"]\n  1 -> 22 [size =\"32080896\"]\n  1 -> 25 [size =\"32080896\"]\n  2 [size=\"22456320\", alpha=\"0.03\", expect_size=\"8982528\"] \n  2 -> 19 [size =\"8982528\"]\n  2 -> 20 [size =\"8982528\"]\n  2 -> 21 [size =\"8982528\"]\n  2 -> 24 [size =\"8982528\"]\n  3 [size=\"122234880\", alpha=\"0.06\", expect_size=\"48893952\"] \n  3 -> 19 [size =\"48893952\"]\n  3 -> 21 [size =\"48893952\"]\n  3 -> 21 [size =\"48893952\"]\n  3 -> 22 [size =\"48893952\"]\n  3 -> 24 [size =\"48893952\"]\n  4 [size=\"29626880\", alpha=\"0.19\", expect_size=\"11850752\"] \n  4 -> 19 [size =\"11850752\"]\n  4 -> 21 [size =\"11850752\"]\n  4 -> 22 [size =\"11850752\"]\n  4 -> 25 [size =\"11850752\"]\n  5 [size=\"50682880\", alpha=\"0.10\", expect_size=\"20273152\"] \n  5 -> 20 [size =\"20273152\"]\n  5 -> 21 [size =\"20273152\"]\n  5 -> 22 [size =\"20273152\"]\n  5 -> 24 [size =\"20273152\"]\n  6 [size=\"121415680\", alpha=\"0.18\", expect_size=\"48566272\"] \n  6 -> 19 [size =\"48566272\"]\n  6 -> 21 [size =\"48566272\"]\n  6 -> 22 [size =\"48566272\"]\n  6 -> 23 [size =\"48566272\"]\n  6 -> 25 [size =\"48566272\"]\n  7 [size=\"79255040\", alpha=\"0.06\", expect_size=\"31702016\"] \n  7 -> 21 [size =\"31702016\"]\n  7 -> 21 [size =\"31702016\"]\n  7 -> 24 [size =\"31702016\"]\n  7 -> 25 [size =\"31702016\"]\n  7 -> 25 [size =\"31702016\"]\n  8 [size=\"123138560\", alpha=\"0.05\", expect_size=\"49255424\"] \n  8 -> 19 [size =\"49255424\"]\n  8 -> 24 [size =\"49255424\"]\n  8 -> 25 [size =\"49255424\"]\n  9 [size=\"37893120\", alpha=\"0.02\", expect_size=\"15157248\"] \n  9 -> 20 [size =\"15157248\"]\n  9 -> 22 [size =\"15157248\"]\n  10 [size=\"66662400\", alpha=\"0.10\", expect_size=\"26664960\"] \n  10 -> 19 [size =\"26664960\"]\n  10 -> 20 [size =\"26664960\"]\n  10 -> 24 [size =\"26664960\"]\n  11 [size=\"45109760\", alpha=\"0.13\", expect_size=\"18043904\"] \n  11 -> 20 [size =\"18043904\"]\n  11 -> 20 [size =\"18043904\"]\n  11 -> 23 [size =\"18043904\"]\n  11 -> 25 [size =\"18043904\"]\n  12 [size=\"106037760\", alpha=\"0.11\", expect_size=\"42415104\"] \n  12 -> 18 [size =\"42415104\"]\n  12 -> 20 [size =\"42415104\"]\n  12 -> 23 [size =\"42415104\"]\n  12 -> 25 [size =\"42415104\"]\n  13 [size=\"122772480\", alpha=\"0.18\", expect_size=\"49108992\"] \n  13 -> 19 [size =\"49108992\"]\n  13 -> 20 [size =\"49108992\"]\n  13 -> 24 [size =\"49108992\"]\n  13 -> 25 [size =\"49108992\"]\n  14 [size=\"40220160\", alpha=\"0.01\", expect_size=\"16088064\"] \n  14 -> 22 [size =\"16088064\"]\n  14 -> 25 [size =\"16088064\"]\n  15 [size=\"37186560\", alpha=\"0.12\", expect_size=\"14874624\"] \n  15 -> 24 [size =\"14874624\"]\n  16 [size=\"97034240\", alpha=\"0.04\", expect_size=\"38813696\"] \n  16 -> 19 [size =\"38813696\"]\n  16 -> 25 [size =\"38813696\"]\n  17 [size=\"86415360\", alpha=\"0.12\", expect_size=\"34566144\"] \n  17 -> 18 [size =\"34566144\"]\n  17 -> 19 [size =\"34566144\"]\n  17 -> 21 [size =\"34566144\"]\n  17 -> 24 [size =\"34566144\"]\n  18 [size=\"123120640\", alpha=\"0.03\", expect_size=\"49248256\"] \n  19 [size=\"32711680\", alpha=\"0.03\", expect_size=\"13084672\"] \n  20 [size=\"46615040\", alpha=\"0.20\", expect_size=\"18646016\"] \n  21 [size=\"105512960\", alpha=\"0.08\", expect_size=\"42205184\"] \n  22 [size=\"62469120\", alpha=\"0.18\", expect_size=\"24987648\"] \n  23 [size=\"125096960\", alpha=\"0.07\", expect_size=\"50038784\"] \n  24 [size=\"112698880\", alpha=\"0.18\", expect_size=\"45079552\"] \n  25 [size=\"118208000\", alpha=\"0.16\", expect_size=\"47283200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41305600\", alpha=\"0.00\", expect_size=\"16522240\"] \n  1 -> 6 [size =\"16522240\"]\n  1 -> 7 [size =\"16522240\"]\n  1 -> 10 [size =\"16522240\"]\n  1 -> 11 [size =\"16522240\"]\n  1 -> 14 [size =\"16522240\"]\n  1 -> 15 [size =\"16522240\"]\n  1 -> 16 [size =\"16522240\"]\n  1 -> 17 [size =\"16522240\"]\n  1 -> 18 [size =\"16522240\"]\n  2 [size=\"129159680\", alpha=\"0.01\", expect_size=\"51663872\"] \n  2 -> 6 [size =\"51663872\"]\n  2 -> 7 [size =\"51663872\"]\n  2 -> 8 [size =\"51663872\"]\n  2 -> 9 [size =\"51663872\"]\n  2 -> 10 [size =\"51663872\"]\n  2 -> 11 [size =\"51663872\"]\n  2 -> 13 [size =\"51663872\"]\n  2 -> 14 [size =\"51663872\"]\n  2 -> 17 [size =\"51663872\"]\n  3 [size=\"24143360\", alpha=\"0.17\", expect_size=\"9657344\"] \n  3 -> 7 [size =\"9657344\"]\n  3 -> 8 [size =\"9657344\"]\n  3 -> 11 [size =\"9657344\"]\n  3 -> 13 [size =\"9657344\"]\n  3 -> 15 [size =\"9657344\"]\n  3 -> 17 [size =\"9657344\"]\n  4 [size=\"23500800\", alpha=\"0.07\", expect_size=\"9400320\"] \n  4 -> 6 [size =\"9400320\"]\n  4 -> 8 [size =\"9400320\"]\n  4 -> 11 [size =\"9400320\"]\n  4 -> 13 [size =\"9400320\"]\n  4 -> 15 [size =\"9400320\"]\n  5 [size=\"86599680\", alpha=\"0.01\", expect_size=\"34639872\"] \n  5 -> 6 [size =\"34639872\"]\n  5 -> 7 [size =\"34639872\"]\n  5 -> 9 [size =\"34639872\"]\n  5 -> 11 [size =\"34639872\"]\n  5 -> 12 [size =\"34639872\"]\n  5 -> 13 [size =\"34639872\"]\n  5 -> 15 [size =\"34639872\"]\n  5 -> 17 [size =\"34639872\"]\n  6 [size=\"36551680\", alpha=\"0.13\", expect_size=\"14620672\"] \n  6 -> 23 [size =\"14620672\"]\n  6 -> 24 [size =\"14620672\"]\n  7 [size=\"126003200\", alpha=\"0.15\", expect_size=\"50401280\"] \n  7 -> 23 [size =\"50401280\"]\n  8 [size=\"64289280\", alpha=\"0.17\", expect_size=\"25715712\"] \n  8 -> 20 [size =\"25715712\"]\n  8 -> 23 [size =\"25715712\"]\n  8 -> 24 [size =\"25715712\"]\n  9 [size=\"77360640\", alpha=\"0.02\", expect_size=\"30944256\"] \n  9 -> 21 [size =\"30944256\"]\n  9 -> 22 [size =\"30944256\"]\n  9 -> 23 [size =\"30944256\"]\n  9 -> 24 [size =\"30944256\"]\n  9 -> 25 [size =\"30944256\"]\n  10 [size=\"112299520\", alpha=\"0.01\", expect_size=\"44919808\"] \n  10 -> 20 [size =\"44919808\"]\n  10 -> 22 [size =\"44919808\"]\n  10 -> 23 [size =\"44919808\"]\n  10 -> 24 [size =\"44919808\"]\n  10 -> 25 [size =\"44919808\"]\n  11 [size=\"107368960\", alpha=\"0.17\", expect_size=\"42947584\"] \n  11 -> 19 [size =\"42947584\"]\n  11 -> 21 [size =\"42947584\"]\n  11 -> 22 [size =\"42947584\"]\n  11 -> 23 [size =\"42947584\"]\n  11 -> 24 [size =\"42947584\"]\n  11 -> 25 [size =\"42947584\"]\n  12 [size=\"108024320\", alpha=\"0.06\", expect_size=\"43209728\"] \n  12 -> 21 [size =\"43209728\"]\n  12 -> 22 [size =\"43209728\"]\n  12 -> 22 [size =\"43209728\"]\n  12 -> 24 [size =\"43209728\"]\n  12 -> 24 [size =\"43209728\"]\n  13 [size=\"116469760\", alpha=\"0.02\", expect_size=\"46587904\"] \n  13 -> 21 [size =\"46587904\"]\n  13 -> 22 [size =\"46587904\"]\n  13 -> 23 [size =\"46587904\"]\n  13 -> 25 [size =\"46587904\"]\n  14 [size=\"100902400\", alpha=\"0.02\", expect_size=\"40360960\"] \n  14 -> 24 [size =\"40360960\"]\n  14 -> 25 [size =\"40360960\"]\n  15 [size=\"26775040\", alpha=\"0.05\", expect_size=\"10710016\"] \n  15 -> 21 [size =\"10710016\"]\n  15 -> 22 [size =\"10710016\"]\n  15 -> 24 [size =\"10710016\"]\n  16 [size=\"32601600\", alpha=\"0.17\", expect_size=\"13040640\"] \n  16 -> 21 [size =\"13040640\"]\n  16 -> 22 [size =\"13040640\"]\n  16 -> 23 [size =\"13040640\"]\n  16 -> 24 [size =\"13040640\"]\n  16 -> 25 [size =\"13040640\"]\n  17 [size=\"108293120\", alpha=\"0.19\", expect_size=\"43317248\"] \n  17 -> 21 [size =\"43317248\"]\n  17 -> 22 [size =\"43317248\"]\n  17 -> 24 [size =\"43317248\"]\n  17 -> 25 [size =\"43317248\"]\n  17 -> 25 [size =\"43317248\"]\n  18 [size=\"77632000\", alpha=\"0.14\", expect_size=\"31052800\"] \n  18 -> 21 [size =\"31052800\"]\n  18 -> 23 [size =\"31052800\"]\n  18 -> 24 [size =\"31052800\"]\n  19 [size=\"57896960\", alpha=\"0.16\", expect_size=\"23158784\"] \n  20 [size=\"70069760\", alpha=\"0.19\", expect_size=\"28027904\"] \n  21 [size=\"75847680\", alpha=\"0.07\", expect_size=\"30339072\"] \n  22 [size=\"58519040\", alpha=\"0.15\", expect_size=\"23407616\"] \n  23 [size=\"96296960\", alpha=\"0.04\", expect_size=\"38518784\"] \n  24 [size=\"107852800\", alpha=\"0.16\", expect_size=\"43141120\"] \n  25 [size=\"121582080\", alpha=\"0.20\", expect_size=\"48632832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116121600\", alpha=\"0.09\", expect_size=\"46448640\"] \n  1 -> 9 [size =\"46448640\"]\n  1 -> 10 [size =\"46448640\"]\n  1 -> 11 [size =\"46448640\"]\n  1 -> 12 [size =\"46448640\"]\n  1 -> 16 [size =\"46448640\"]\n  1 -> 17 [size =\"46448640\"]\n  2 [size=\"95536640\", alpha=\"0.04\", expect_size=\"38214656\"] \n  2 -> 12 [size =\"38214656\"]\n  3 [size=\"102123520\", alpha=\"0.04\", expect_size=\"40849408\"] \n  3 -> 8 [size =\"40849408\"]\n  3 -> 11 [size =\"40849408\"]\n  3 -> 12 [size =\"40849408\"]\n  3 -> 15 [size =\"40849408\"]\n  4 [size=\"58050560\", alpha=\"0.17\", expect_size=\"23220224\"] \n  4 -> 8 [size =\"23220224\"]\n  4 -> 9 [size =\"23220224\"]\n  4 -> 11 [size =\"23220224\"]\n  4 -> 12 [size =\"23220224\"]\n  4 -> 14 [size =\"23220224\"]\n  4 -> 15 [size =\"23220224\"]\n  5 [size=\"75729920\", alpha=\"0.11\", expect_size=\"30291968\"] \n  5 -> 11 [size =\"30291968\"]\n  5 -> 13 [size =\"30291968\"]\n  5 -> 14 [size =\"30291968\"]\n  5 -> 15 [size =\"30291968\"]\n  5 -> 16 [size =\"30291968\"]\n  6 [size=\"21585920\", alpha=\"0.15\", expect_size=\"8634368\"] \n  6 -> 8 [size =\"8634368\"]\n  6 -> 9 [size =\"8634368\"]\n  6 -> 14 [size =\"8634368\"]\n  6 -> 15 [size =\"8634368\"]\n  6 -> 16 [size =\"8634368\"]\n  7 [size=\"18997760\", alpha=\"0.19\", expect_size=\"7599104\"] \n  7 -> 12 [size =\"7599104\"]\n  7 -> 16 [size =\"7599104\"]\n  7 -> 17 [size =\"7599104\"]\n  8 [size=\"57326080\", alpha=\"0.15\", expect_size=\"22930432\"] \n  8 -> 18 [size =\"22930432\"]\n  8 -> 21 [size =\"22930432\"]\n  8 -> 23 [size =\"22930432\"]\n  8 -> 24 [size =\"22930432\"]\n  9 [size=\"120960000\", alpha=\"0.04\", expect_size=\"48384000\"] \n  9 -> 20 [size =\"48384000\"]\n  9 -> 21 [size =\"48384000\"]\n  9 -> 24 [size =\"48384000\"]\n  9 -> 25 [size =\"48384000\"]\n  10 [size=\"18734080\", alpha=\"0.19\", expect_size=\"7493632\"] \n  10 -> 20 [size =\"7493632\"]\n  11 [size=\"84664320\", alpha=\"0.13\", expect_size=\"33865728\"] \n  11 -> 20 [size =\"33865728\"]\n  11 -> 22 [size =\"33865728\"]\n  11 -> 23 [size =\"33865728\"]\n  12 [size=\"18810880\", alpha=\"0.14\", expect_size=\"7524352\"] \n  12 -> 22 [size =\"7524352\"]\n  12 -> 22 [size =\"7524352\"]\n  12 -> 23 [size =\"7524352\"]\n  13 [size=\"39577600\", alpha=\"0.20\", expect_size=\"15831040\"] \n  13 -> 18 [size =\"15831040\"]\n  13 -> 20 [size =\"15831040\"]\n  13 -> 22 [size =\"15831040\"]\n  13 -> 23 [size =\"15831040\"]\n  14 [size=\"61283840\", alpha=\"0.12\", expect_size=\"24513536\"] \n  14 -> 22 [size =\"24513536\"]\n  14 -> 23 [size =\"24513536\"]\n  14 -> 24 [size =\"24513536\"]\n  15 [size=\"43054080\", alpha=\"0.11\", expect_size=\"17221632\"] \n  15 -> 19 [size =\"17221632\"]\n  15 -> 21 [size =\"17221632\"]\n  15 -> 22 [size =\"17221632\"]\n  15 -> 23 [size =\"17221632\"]\n  16 [size=\"109895680\", alpha=\"0.09\", expect_size=\"43958272\"] \n  16 -> 20 [size =\"43958272\"]\n  16 -> 21 [size =\"43958272\"]\n  16 -> 24 [size =\"43958272\"]\n  17 [size=\"83084800\", alpha=\"0.10\", expect_size=\"33233920\"] \n  17 -> 18 [size =\"33233920\"]\n  17 -> 21 [size =\"33233920\"]\n  17 -> 23 [size =\"33233920\"]\n  18 [size=\"79055360\", alpha=\"0.13\", expect_size=\"31622144\"] \n  19 [size=\"47477760\", alpha=\"0.18\", expect_size=\"18991104\"] \n  20 [size=\"71866880\", alpha=\"0.09\", expect_size=\"28746752\"] \n  21 [size=\"68746240\", alpha=\"0.17\", expect_size=\"27498496\"] \n  22 [size=\"26227200\", alpha=\"0.19\", expect_size=\"10490880\"] \n  23 [size=\"107535360\", alpha=\"0.16\", expect_size=\"43014144\"] \n  24 [size=\"104811520\", alpha=\"0.01\", expect_size=\"41924608\"] \n  25 [size=\"56212480\", alpha=\"0.16\", expect_size=\"22484992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23473493\", alpha=\"0.08\", expect_size=\"7042048\"] \n  1 -> 8 [size =\"7042048\"]\n  1 -> 10 [size =\"7042048\"]\n  1 -> 13 [size =\"7042048\"]\n  2 [size=\"40226133\", alpha=\"0.09\", expect_size=\"12067840\"] \n  2 -> 7 [size =\"12067840\"]\n  2 -> 10 [size =\"12067840\"]\n  2 -> 11 [size =\"12067840\"]\n  3 [size=\"145254400\", alpha=\"0.14\", expect_size=\"43576320\"] \n  3 -> 7 [size =\"43576320\"]\n  3 -> 8 [size =\"43576320\"]\n  3 -> 15 [size =\"43576320\"]\n  4 [size=\"130969600\", alpha=\"0.19\", expect_size=\"39290880\"] \n  4 -> 10 [size =\"39290880\"]\n  4 -> 13 [size =\"39290880\"]\n  4 -> 15 [size =\"39290880\"]\n  5 [size=\"149753173\", alpha=\"0.19\", expect_size=\"44925952\"] \n  5 -> 7 [size =\"44925952\"]\n  5 -> 8 [size =\"44925952\"]\n  5 -> 9 [size =\"44925952\"]\n  5 -> 12 [size =\"44925952\"]\n  5 -> 15 [size =\"44925952\"]\n  6 [size=\"132980053\", alpha=\"0.03\", expect_size=\"39894016\"] \n  6 -> 9 [size =\"39894016\"]\n  6 -> 11 [size =\"39894016\"]\n  6 -> 12 [size =\"39894016\"]\n  6 -> 13 [size =\"39894016\"]\n  6 -> 14 [size =\"39894016\"]\n  6 -> 15 [size =\"39894016\"]\n  7 [size=\"87302827\", alpha=\"0.07\", expect_size=\"26190848\"] \n  7 -> 16 [size =\"26190848\"]\n  7 -> 20 [size =\"26190848\"]\n  7 -> 22 [size =\"26190848\"]\n  8 [size=\"41130667\", alpha=\"0.06\", expect_size=\"12339200\"] \n  9 [size=\"163570347\", alpha=\"0.06\", expect_size=\"49071104\"] \n  9 -> 16 [size =\"49071104\"]\n  10 [size=\"167652693\", alpha=\"0.09\", expect_size=\"50295808\"] \n  10 -> 20 [size =\"50295808\"]\n  10 -> 22 [size =\"50295808\"]\n  11 [size=\"91572907\", alpha=\"0.17\", expect_size=\"27471872\"] \n  11 -> 16 [size =\"27471872\"]\n  11 -> 17 [size =\"27471872\"]\n  12 [size=\"158269440\", alpha=\"0.03\", expect_size=\"47480832\"] \n  12 -> 20 [size =\"47480832\"]\n  13 [size=\"68239360\", alpha=\"0.03\", expect_size=\"20471808\"] \n  14 [size=\"19141973\", alpha=\"0.20\", expect_size=\"5742592\"] \n  14 -> 18 [size =\"5742592\"]\n  14 -> 20 [size =\"5742592\"]\n  14 -> 22 [size =\"5742592\"]\n  15 [size=\"169352533\", alpha=\"0.02\", expect_size=\"50805760\"] \n  15 -> 16 [size =\"50805760\"]\n  15 -> 17 [size =\"50805760\"]\n  15 -> 18 [size =\"50805760\"]\n  15 -> 19 [size =\"50805760\"]\n  15 -> 21 [size =\"50805760\"]\n  15 -> 22 [size =\"50805760\"]\n  16 [size=\"163693227\", alpha=\"0.10\", expect_size=\"49107968\"] \n  17 [size=\"32375467\", alpha=\"0.14\", expect_size=\"9712640\"] \n  17 -> 24 [size =\"9712640\"]\n  18 [size=\"86155947\", alpha=\"0.18\", expect_size=\"25846784\"] \n  19 [size=\"135628800\", alpha=\"0.15\", expect_size=\"40688640\"] \n  20 [size=\"24067413\", alpha=\"0.04\", expect_size=\"7220224\"] \n  21 [size=\"95941973\", alpha=\"0.13\", expect_size=\"28782592\"] \n  22 [size=\"71226027\", alpha=\"0.06\", expect_size=\"21367808\"] \n  22 -> 23 [size =\"21367808\"]\n  22 -> 25 [size =\"21367808\"]\n  23 [size=\"92156587\", alpha=\"0.15\", expect_size=\"27646976\"] \n  24 [size=\"114937173\", alpha=\"0.18\", expect_size=\"34481152\"] \n  25 [size=\"111554560\", alpha=\"0.18\", expect_size=\"33466368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45365760\", alpha=\"0.18\", expect_size=\"18146304\"] \n  1 -> 19 [size =\"18146304\"]\n  1 -> 20 [size =\"18146304\"]\n  1 -> 23 [size =\"18146304\"]\n  2 [size=\"52008960\", alpha=\"0.15\", expect_size=\"20803584\"] \n  2 -> 19 [size =\"20803584\"]\n  2 -> 20 [size =\"20803584\"]\n  2 -> 23 [size =\"20803584\"]\n  3 [size=\"60733440\", alpha=\"0.07\", expect_size=\"24293376\"] \n  3 -> 19 [size =\"24293376\"]\n  3 -> 20 [size =\"24293376\"]\n  4 [size=\"112020480\", alpha=\"0.17\", expect_size=\"44808192\"] \n  4 -> 20 [size =\"44808192\"]\n  4 -> 20 [size =\"44808192\"]\n  4 -> 21 [size =\"44808192\"]\n  4 -> 25 [size =\"44808192\"]\n  5 [size=\"50885120\", alpha=\"0.04\", expect_size=\"20354048\"] \n  5 -> 21 [size =\"20354048\"]\n  5 -> 24 [size =\"20354048\"]\n  6 [size=\"28897280\", alpha=\"0.01\", expect_size=\"11558912\"] \n  6 -> 18 [size =\"11558912\"]\n  6 -> 19 [size =\"11558912\"]\n  6 -> 20 [size =\"11558912\"]\n  6 -> 21 [size =\"11558912\"]\n  6 -> 25 [size =\"11558912\"]\n  7 [size=\"21893120\", alpha=\"0.07\", expect_size=\"8757248\"] \n  7 -> 19 [size =\"8757248\"]\n  7 -> 21 [size =\"8757248\"]\n  7 -> 25 [size =\"8757248\"]\n  8 [size=\"67991040\", alpha=\"0.12\", expect_size=\"27196416\"] \n  8 -> 21 [size =\"27196416\"]\n  8 -> 21 [size =\"27196416\"]\n  8 -> 23 [size =\"27196416\"]\n  8 -> 24 [size =\"27196416\"]\n  8 -> 25 [size =\"27196416\"]\n  9 [size=\"82644480\", alpha=\"0.12\", expect_size=\"33057792\"] \n  9 -> 23 [size =\"33057792\"]\n  9 -> 24 [size =\"33057792\"]\n  10 [size=\"129187840\", alpha=\"0.17\", expect_size=\"51675136\"] \n  10 -> 18 [size =\"51675136\"]\n  10 -> 23 [size =\"51675136\"]\n  10 -> 24 [size =\"51675136\"]\n  10 -> 25 [size =\"51675136\"]\n  11 [size=\"120192000\", alpha=\"0.01\", expect_size=\"48076800\"] \n  11 -> 20 [size =\"48076800\"]\n  11 -> 22 [size =\"48076800\"]\n  12 [size=\"109301760\", alpha=\"0.03\", expect_size=\"43720704\"] \n  12 -> 18 [size =\"43720704\"]\n  12 -> 19 [size =\"43720704\"]\n  12 -> 20 [size =\"43720704\"]\n  12 -> 21 [size =\"43720704\"]\n  12 -> 23 [size =\"43720704\"]\n  13 [size=\"78220800\", alpha=\"0.15\", expect_size=\"31288320\"] \n  13 -> 20 [size =\"31288320\"]\n  13 -> 23 [size =\"31288320\"]\n  13 -> 24 [size =\"31288320\"]\n  14 [size=\"117573120\", alpha=\"0.05\", expect_size=\"47029248\"] \n  14 -> 19 [size =\"47029248\"]\n  14 -> 21 [size =\"47029248\"]\n  14 -> 24 [size =\"47029248\"]\n  14 -> 25 [size =\"47029248\"]\n  15 [size=\"97274880\", alpha=\"0.03\", expect_size=\"38909952\"] \n  15 -> 21 [size =\"38909952\"]\n  15 -> 24 [size =\"38909952\"]\n  15 -> 25 [size =\"38909952\"]\n  16 [size=\"121774080\", alpha=\"0.10\", expect_size=\"48709632\"] \n  17 [size=\"129131520\", alpha=\"0.16\", expect_size=\"51652608\"] \n  17 -> 19 [size =\"51652608\"]\n  18 [size=\"53043200\", alpha=\"0.12\", expect_size=\"21217280\"] \n  19 [size=\"125678080\", alpha=\"0.16\", expect_size=\"50271232\"] \n  20 [size=\"81111040\", alpha=\"0.17\", expect_size=\"32444416\"] \n  21 [size=\"65397760\", alpha=\"0.03\", expect_size=\"26159104\"] \n  22 [size=\"68421120\", alpha=\"0.16\", expect_size=\"27368448\"] \n  23 [size=\"89006080\", alpha=\"0.17\", expect_size=\"35602432\"] \n  24 [size=\"62443520\", alpha=\"0.14\", expect_size=\"24977408\"] \n  25 [size=\"94220800\", alpha=\"0.18\", expect_size=\"37688320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80647680\", alpha=\"0.12\", expect_size=\"32259072\"] \n  1 -> 2 [size =\"32259072\"]\n  2 [size=\"49136640\", alpha=\"0.15\", expect_size=\"19654656\"] \n  2 -> 3 [size =\"19654656\"]\n  3 [size=\"44569600\", alpha=\"0.13\", expect_size=\"17827840\"] \n  3 -> 4 [size =\"17827840\"]\n  4 [size=\"79833600\", alpha=\"0.08\", expect_size=\"31933440\"] \n  4 -> 5 [size =\"31933440\"]\n  5 [size=\"64591360\", alpha=\"0.09\", expect_size=\"25836544\"] \n  5 -> 6 [size =\"25836544\"]\n  6 [size=\"96386560\", alpha=\"0.02\", expect_size=\"38554624\"] \n  6 -> 7 [size =\"38554624\"]\n  7 [size=\"72430080\", alpha=\"0.08\", expect_size=\"28972032\"] \n  7 -> 8 [size =\"28972032\"]\n  8 [size=\"48611840\", alpha=\"0.11\", expect_size=\"19444736\"] \n  8 -> 9 [size =\"19444736\"]\n  9 [size=\"77207040\", alpha=\"0.15\", expect_size=\"30882816\"] \n  9 -> 10 [size =\"30882816\"]\n  10 [size=\"64058880\", alpha=\"0.19\", expect_size=\"25623552\"] \n  10 -> 11 [size =\"25623552\"]\n  11 [size=\"36674560\", alpha=\"0.09\", expect_size=\"14669824\"] \n  11 -> 12 [size =\"14669824\"]\n  12 [size=\"108070400\", alpha=\"0.12\", expect_size=\"43228160\"] \n  12 -> 13 [size =\"43228160\"]\n  13 [size=\"80299520\", alpha=\"0.19\", expect_size=\"32119808\"] \n  13 -> 14 [size =\"32119808\"]\n  14 [size=\"38128640\", alpha=\"0.01\", expect_size=\"15251456\"] \n  14 -> 15 [size =\"15251456\"]\n  15 [size=\"86824960\", alpha=\"0.00\", expect_size=\"34729984\"] \n  15 -> 16 [size =\"34729984\"]\n  16 [size=\"19128320\", alpha=\"0.06\", expect_size=\"7651328\"] \n  16 -> 17 [size =\"7651328\"]\n  17 [size=\"29350400\", alpha=\"0.11\", expect_size=\"11740160\"] \n  17 -> 18 [size =\"11740160\"]\n  18 [size=\"75112960\", alpha=\"0.17\", expect_size=\"30045184\"] \n  18 -> 19 [size =\"30045184\"]\n  19 [size=\"21747200\", alpha=\"0.01\", expect_size=\"8698880\"] \n  19 -> 20 [size =\"8698880\"]\n  20 [size=\"111820800\", alpha=\"0.00\", expect_size=\"44728320\"] \n  20 -> 21 [size =\"44728320\"]\n  21 [size=\"107932160\", alpha=\"0.10\", expect_size=\"43172864\"] \n  21 -> 22 [size =\"43172864\"]\n  22 [size=\"45562880\", alpha=\"0.07\", expect_size=\"18225152\"] \n  22 -> 23 [size =\"18225152\"]\n  23 [size=\"113661440\", alpha=\"0.09\", expect_size=\"45464576\"] \n  23 -> 24 [size =\"45464576\"]\n  24 [size=\"105651200\", alpha=\"0.02\", expect_size=\"42260480\"] \n  24 -> 25 [size =\"42260480\"]\n  25 [size=\"112908800\", alpha=\"0.04\", expect_size=\"45163520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35768320\", alpha=\"0.07\", expect_size=\"10730496\"] \n  1 -> 3 [size =\"10730496\"]\n  2 [size=\"171970560\", alpha=\"0.19\", expect_size=\"51591168\"] \n  2 -> 3 [size =\"51591168\"]\n  3 [size=\"50469547\", alpha=\"0.18\", expect_size=\"15140864\"] \n  3 -> 4 [size =\"15140864\"]\n  4 [size=\"170980693\", alpha=\"0.04\", expect_size=\"51294208\"] \n  4 -> 5 [size =\"51294208\"]\n  4 -> 6 [size =\"51294208\"]\n  5 [size=\"170506240\", alpha=\"0.06\", expect_size=\"51151872\"] \n  5 -> 7 [size =\"51151872\"]\n  5 -> 8 [size =\"51151872\"]\n  6 [size=\"88586240\", alpha=\"0.19\", expect_size=\"26575872\"] \n  6 -> 7 [size =\"26575872\"]\n  6 -> 8 [size =\"26575872\"]\n  7 [size=\"42557440\", alpha=\"0.17\", expect_size=\"12767232\"] \n  7 -> 9 [size =\"12767232\"]\n  7 -> 10 [size =\"12767232\"]\n  8 [size=\"139922773\", alpha=\"0.04\", expect_size=\"41976832\"] \n  8 -> 9 [size =\"41976832\"]\n  8 -> 10 [size =\"41976832\"]\n  9 [size=\"57866240\", alpha=\"0.05\", expect_size=\"17359872\"] \n  9 -> 11 [size =\"17359872\"]\n  10 [size=\"101515947\", alpha=\"0.13\", expect_size=\"30454784\"] \n  10 -> 11 [size =\"30454784\"]\n  11 [size=\"51220480\", alpha=\"0.07\", expect_size=\"15366144\"] \n  11 -> 12 [size =\"15366144\"]\n  11 -> 13 [size =\"15366144\"]\n  12 [size=\"106489173\", alpha=\"0.10\", expect_size=\"31946752\"] \n  12 -> 14 [size =\"31946752\"]\n  12 -> 15 [size =\"31946752\"]\n  13 [size=\"96262827\", alpha=\"0.11\", expect_size=\"28878848\"] \n  13 -> 14 [size =\"28878848\"]\n  13 -> 15 [size =\"28878848\"]\n  14 [size=\"82292053\", alpha=\"0.10\", expect_size=\"24687616\"] \n  14 -> 16 [size =\"24687616\"]\n  15 [size=\"116715520\", alpha=\"0.03\", expect_size=\"35014656\"] \n  15 -> 16 [size =\"35014656\"]\n  16 [size=\"162505387\", alpha=\"0.14\", expect_size=\"48751616\"] \n  16 -> 17 [size =\"48751616\"]\n  17 [size=\"151558827\", alpha=\"0.08\", expect_size=\"45467648\"] \n  17 -> 18 [size =\"45467648\"]\n  18 [size=\"126638080\", alpha=\"0.10\", expect_size=\"37991424\"] \n  18 -> 19 [size =\"37991424\"]\n  19 [size=\"159112533\", alpha=\"0.14\", expect_size=\"47733760\"] \n  19 -> 20 [size =\"47733760\"]\n  20 [size=\"38563840\", alpha=\"0.11\", expect_size=\"11569152\"] \n  20 -> 21 [size =\"11569152\"]\n  21 [size=\"142086827\", alpha=\"0.12\", expect_size=\"42626048\"] \n  21 -> 22 [size =\"42626048\"]\n  21 -> 23 [size =\"42626048\"]\n  22 [size=\"40871253\", alpha=\"0.12\", expect_size=\"12261376\"] \n  22 -> 24 [size =\"12261376\"]\n  23 [size=\"120917333\", alpha=\"0.16\", expect_size=\"36275200\"] \n  23 -> 24 [size =\"36275200\"]\n  24 [size=\"46240427\", alpha=\"0.19\", expect_size=\"13872128\"] \n  24 -> 25 [size =\"13872128\"]\n  25 [size=\"124467200\", alpha=\"0.02\", expect_size=\"37340160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110404267\", alpha=\"0.10\", expect_size=\"33121280\"] \n  1 -> 20 [size =\"33121280\"]\n  1 -> 23 [size =\"33121280\"]\n  1 -> 24 [size =\"33121280\"]\n  2 [size=\"120733013\", alpha=\"0.10\", expect_size=\"36219904\"] \n  2 -> 20 [size =\"36219904\"]\n  3 [size=\"133686613\", alpha=\"0.18\", expect_size=\"40105984\"] \n  3 -> 19 [size =\"40105984\"]\n  3 -> 21 [size =\"40105984\"]\n  3 -> 24 [size =\"40105984\"]\n  4 [size=\"66631680\", alpha=\"0.13\", expect_size=\"19989504\"] \n  4 -> 19 [size =\"19989504\"]\n  4 -> 20 [size =\"19989504\"]\n  5 [size=\"139069440\", alpha=\"0.16\", expect_size=\"41720832\"] \n  5 -> 22 [size =\"41720832\"]\n  6 [size=\"131242667\", alpha=\"0.11\", expect_size=\"39372800\"] \n  7 [size=\"98208427\", alpha=\"0.02\", expect_size=\"29462528\"] \n  8 [size=\"127187627\", alpha=\"0.10\", expect_size=\"38156288\"] \n  8 -> 18 [size =\"38156288\"]\n  8 -> 21 [size =\"38156288\"]\n  9 [size=\"73270613\", alpha=\"0.14\", expect_size=\"21981184\"] \n  10 [size=\"76458667\", alpha=\"0.02\", expect_size=\"22937600\"] \n  10 -> 18 [size =\"22937600\"]\n  11 [size=\"139953493\", alpha=\"0.03\", expect_size=\"41986048\"] \n  11 -> 18 [size =\"41986048\"]\n  12 [size=\"63457280\", alpha=\"0.10\", expect_size=\"19037184\"] \n  13 [size=\"143482880\", alpha=\"0.12\", expect_size=\"43044864\"] \n  13 -> 18 [size =\"43044864\"]\n  13 -> 22 [size =\"43044864\"]\n  14 [size=\"126644907\", alpha=\"0.10\", expect_size=\"37993472\"] \n  15 [size=\"70277120\", alpha=\"0.03\", expect_size=\"21083136\"] \n  15 -> 21 [size =\"21083136\"]\n  15 -> 24 [size =\"21083136\"]\n  15 -> 25 [size =\"21083136\"]\n  16 [size=\"38983680\", alpha=\"0.13\", expect_size=\"11695104\"] \n  16 -> 18 [size =\"11695104\"]\n  16 -> 21 [size =\"11695104\"]\n  16 -> 24 [size =\"11695104\"]\n  17 [size=\"123593387\", alpha=\"0.05\", expect_size=\"37078016\"] \n  17 -> 24 [size =\"37078016\"]\n  18 [size=\"135755093\", alpha=\"0.19\", expect_size=\"40726528\"] \n  19 [size=\"56818347\", alpha=\"0.07\", expect_size=\"17045504\"] \n  20 [size=\"164594347\", alpha=\"0.02\", expect_size=\"49378304\"] \n  21 [size=\"20114773\", alpha=\"0.09\", expect_size=\"6034432\"] \n  22 [size=\"45663573\", alpha=\"0.08\", expect_size=\"13699072\"] \n  23 [size=\"121053867\", alpha=\"0.03\", expect_size=\"36316160\"] \n  24 [size=\"56548693\", alpha=\"0.04\", expect_size=\"16964608\"] \n  25 [size=\"134396587\", alpha=\"0.20\", expect_size=\"40318976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42424320\", alpha=\"0.18\", expect_size=\"12727296\"] \n  1 -> 2 [size =\"12727296\"]\n  2 [size=\"73243307\", alpha=\"0.14\", expect_size=\"21972992\"] \n  2 -> 3 [size =\"21972992\"]\n  2 -> 4 [size =\"21972992\"]\n  3 [size=\"170697387\", alpha=\"0.03\", expect_size=\"51209216\"] \n  4 [size=\"166229333\", alpha=\"0.05\", expect_size=\"49868800\"] \n  4 -> 5 [size =\"49868800\"]\n  5 [size=\"152203947\", alpha=\"0.09\", expect_size=\"45661184\"] \n  5 -> 6 [size =\"45661184\"]\n  6 [size=\"169437867\", alpha=\"0.03\", expect_size=\"50831360\"] \n  6 -> 7 [size =\"50831360\"]\n  7 [size=\"46305280\", alpha=\"0.05\", expect_size=\"13891584\"] \n  7 -> 8 [size =\"13891584\"]\n  7 -> 9 [size =\"13891584\"]\n  8 [size=\"130280107\", alpha=\"0.02\", expect_size=\"39084032\"] \n  8 -> 10 [size =\"39084032\"]\n  9 [size=\"94726827\", alpha=\"0.04\", expect_size=\"28418048\"] \n  9 -> 11 [size =\"28418048\"]\n  10 [size=\"126259200\", alpha=\"0.19\", expect_size=\"37877760\"] \n  10 -> 13 [size =\"37877760\"]\n  11 [size=\"55623680\", alpha=\"0.04\", expect_size=\"16687104\"] \n  11 -> 12 [size =\"16687104\"]\n  12 [size=\"39297707\", alpha=\"0.07\", expect_size=\"11789312\"] \n  12 -> 15 [size =\"11789312\"]\n  13 [size=\"150623573\", alpha=\"0.06\", expect_size=\"45187072\"] \n  13 -> 14 [size =\"45187072\"]\n  14 [size=\"172438187\", alpha=\"0.01\", expect_size=\"51731456\"] \n  15 [size=\"57746773\", alpha=\"0.01\", expect_size=\"17324032\"] \n  15 -> 16 [size =\"17324032\"]\n  15 -> 17 [size =\"17324032\"]\n  16 [size=\"128942080\", alpha=\"0.06\", expect_size=\"38682624\"] \n  16 -> 18 [size =\"38682624\"]\n  17 [size=\"151845547\", alpha=\"0.18\", expect_size=\"45553664\"] \n  18 [size=\"32344747\", alpha=\"0.01\", expect_size=\"9703424\"] \n  18 -> 19 [size =\"9703424\"]\n  19 [size=\"45878613\", alpha=\"0.03\", expect_size=\"13763584\"] \n  19 -> 20 [size =\"13763584\"]\n  19 -> 21 [size =\"13763584\"]\n  20 [size=\"80138240\", alpha=\"0.00\", expect_size=\"24041472\"] \n  20 -> 22 [size =\"24041472\"]\n  21 [size=\"75250347\", alpha=\"0.00\", expect_size=\"22575104\"] \n  21 -> 23 [size =\"22575104\"]\n  22 [size=\"109045760\", alpha=\"0.08\", expect_size=\"32713728\"] \n  22 -> 24 [size =\"32713728\"]\n  23 [size=\"166632107\", alpha=\"0.14\", expect_size=\"49989632\"] \n  23 -> 25 [size =\"49989632\"]\n  24 [size=\"56244907\", alpha=\"0.20\", expect_size=\"16873472\"] \n  25 [size=\"66225493\", alpha=\"0.02\", expect_size=\"19867648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64791893\", alpha=\"0.05\", expect_size=\"19437568\"] \n  2 [size=\"23644160\", alpha=\"0.14\", expect_size=\"7093248\"] \n  2 -> 25 [size =\"7093248\"]\n  3 [size=\"89873067\", alpha=\"0.09\", expect_size=\"26961920\"] \n  4 [size=\"168420693\", alpha=\"0.07\", expect_size=\"50526208\"] \n  4 -> 24 [size =\"50526208\"]\n  5 [size=\"133744640\", alpha=\"0.01\", expect_size=\"40123392\"] \n  5 -> 25 [size =\"40123392\"]\n  6 [size=\"61569707\", alpha=\"0.14\", expect_size=\"18470912\"] \n  7 [size=\"65140053\", alpha=\"0.18\", expect_size=\"19542016\"] \n  8 [size=\"124863147\", alpha=\"0.08\", expect_size=\"37458944\"] \n  8 -> 25 [size =\"37458944\"]\n  9 [size=\"126801920\", alpha=\"0.01\", expect_size=\"38040576\"] \n  10 [size=\"116933973\", alpha=\"0.18\", expect_size=\"35080192\"] \n  10 -> 25 [size =\"35080192\"]\n  11 [size=\"125873493\", alpha=\"0.15\", expect_size=\"37762048\"] \n  12 [size=\"165321387\", alpha=\"0.10\", expect_size=\"49596416\"] \n  12 -> 24 [size =\"49596416\"]\n  13 [size=\"116582400\", alpha=\"0.19\", expect_size=\"34974720\"] \n  13 -> 24 [size =\"34974720\"]\n  13 -> 25 [size =\"34974720\"]\n  14 [size=\"27289600\", alpha=\"0.09\", expect_size=\"8186880\"] \n  14 -> 25 [size =\"8186880\"]\n  15 [size=\"82408107\", alpha=\"0.09\", expect_size=\"24722432\"] \n  15 -> 24 [size =\"24722432\"]\n  15 -> 25 [size =\"24722432\"]\n  16 [size=\"87043413\", alpha=\"0.05\", expect_size=\"26113024\"] \n  16 -> 25 [size =\"26113024\"]\n  17 [size=\"37901653\", alpha=\"0.11\", expect_size=\"11370496\"] \n  18 [size=\"20783787\", alpha=\"0.13\", expect_size=\"6235136\"] \n  18 -> 24 [size =\"6235136\"]\n  19 [size=\"86555307\", alpha=\"0.07\", expect_size=\"25966592\"] \n  20 [size=\"95723520\", alpha=\"0.11\", expect_size=\"28717056\"] \n  21 [size=\"78103893\", alpha=\"0.01\", expect_size=\"23431168\"] \n  21 -> 25 [size =\"23431168\"]\n  22 [size=\"38666240\", alpha=\"0.12\", expect_size=\"11599872\"] \n  22 -> 25 [size =\"11599872\"]\n  23 [size=\"118862507\", alpha=\"0.12\", expect_size=\"35658752\"] \n  23 -> 24 [size =\"35658752\"]\n  23 -> 25 [size =\"35658752\"]\n  24 [size=\"112349867\", alpha=\"0.11\", expect_size=\"33704960\"] \n  25 [size=\"28685653\", alpha=\"0.05\", expect_size=\"8605696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48390144\", alpha=\"0.12\", expect_size=\"24195072\"] \n  1 -> 19 [size =\"24195072\"]\n  1 -> 20 [size =\"24195072\"]\n  1 -> 22 [size =\"24195072\"]\n  1 -> 23 [size =\"24195072\"]\n  1 -> 25 [size =\"24195072\"]\n  2 [size=\"102541312\", alpha=\"0.15\", expect_size=\"51270656\"] \n  2 -> 19 [size =\"51270656\"]\n  2 -> 21 [size =\"51270656\"]\n  2 -> 23 [size =\"51270656\"]\n  2 -> 23 [size =\"51270656\"]\n  2 -> 24 [size =\"51270656\"]\n  3 [size=\"16596992\", alpha=\"0.09\", expect_size=\"8298496\"] \n  3 -> 21 [size =\"8298496\"]\n  3 -> 21 [size =\"8298496\"]\n  3 -> 23 [size =\"8298496\"]\n  3 -> 24 [size =\"8298496\"]\n  3 -> 25 [size =\"8298496\"]\n  4 [size=\"83681280\", alpha=\"0.19\", expect_size=\"41840640\"] \n  4 -> 19 [size =\"41840640\"]\n  4 -> 20 [size =\"41840640\"]\n  4 -> 23 [size =\"41840640\"]\n  5 [size=\"77762560\", alpha=\"0.18\", expect_size=\"38881280\"] \n  5 -> 23 [size =\"38881280\"]\n  5 -> 24 [size =\"38881280\"]\n  6 [size=\"85729280\", alpha=\"0.20\", expect_size=\"42864640\"] \n  6 -> 19 [size =\"42864640\"]\n  6 -> 20 [size =\"42864640\"]\n  6 -> 21 [size =\"42864640\"]\n  6 -> 23 [size =\"42864640\"]\n  7 [size=\"51415040\", alpha=\"0.06\", expect_size=\"25707520\"] \n  7 -> 19 [size =\"25707520\"]\n  7 -> 20 [size =\"25707520\"]\n  7 -> 21 [size =\"25707520\"]\n  7 -> 23 [size =\"25707520\"]\n  8 [size=\"48982016\", alpha=\"0.17\", expect_size=\"24491008\"] \n  8 -> 24 [size =\"24491008\"]\n  8 -> 25 [size =\"24491008\"]\n  9 [size=\"66527232\", alpha=\"0.14\", expect_size=\"33263616\"] \n  9 -> 19 [size =\"33263616\"]\n  9 -> 20 [size =\"33263616\"]\n  9 -> 21 [size =\"33263616\"]\n  9 -> 25 [size =\"33263616\"]\n  10 [size=\"32643072\", alpha=\"0.05\", expect_size=\"16321536\"] \n  10 -> 19 [size =\"16321536\"]\n  10 -> 20 [size =\"16321536\"]\n  10 -> 21 [size =\"16321536\"]\n  10 -> 24 [size =\"16321536\"]\n  10 -> 25 [size =\"16321536\"]\n  11 [size=\"68274176\", alpha=\"0.15\", expect_size=\"34137088\"] \n  11 -> 19 [size =\"34137088\"]\n  11 -> 20 [size =\"34137088\"]\n  11 -> 21 [size =\"34137088\"]\n  11 -> 25 [size =\"34137088\"]\n  12 [size=\"31688704\", alpha=\"0.05\", expect_size=\"15844352\"] \n  12 -> 21 [size =\"15844352\"]\n  12 -> 23 [size =\"15844352\"]\n  13 [size=\"104570880\", alpha=\"0.07\", expect_size=\"52285440\"] \n  13 -> 20 [size =\"52285440\"]\n  13 -> 23 [size =\"52285440\"]\n  13 -> 25 [size =\"52285440\"]\n  14 [size=\"51888128\", alpha=\"0.13\", expect_size=\"25944064\"] \n  14 -> 19 [size =\"25944064\"]\n  14 -> 22 [size =\"25944064\"]\n  14 -> 23 [size =\"25944064\"]\n  14 -> 25 [size =\"25944064\"]\n  15 [size=\"46477312\", alpha=\"0.01\", expect_size=\"23238656\"] \n  15 -> 19 [size =\"23238656\"]\n  15 -> 20 [size =\"23238656\"]\n  15 -> 25 [size =\"23238656\"]\n  16 [size=\"35074048\", alpha=\"0.14\", expect_size=\"17537024\"] \n  16 -> 20 [size =\"17537024\"]\n  17 [size=\"34621440\", alpha=\"0.12\", expect_size=\"17310720\"] \n  17 -> 20 [size =\"17310720\"]\n  17 -> 21 [size =\"17310720\"]\n  18 [size=\"60829696\", alpha=\"0.13\", expect_size=\"30414848\"] \n  18 -> 21 [size =\"30414848\"]\n  18 -> 23 [size =\"30414848\"]\n  18 -> 25 [size =\"30414848\"]\n  19 [size=\"47069184\", alpha=\"0.04\", expect_size=\"23534592\"] \n  20 [size=\"20326400\", alpha=\"0.12\", expect_size=\"10163200\"] \n  21 [size=\"44689408\", alpha=\"0.09\", expect_size=\"22344704\"] \n  22 [size=\"21467136\", alpha=\"0.04\", expect_size=\"10733568\"] \n  23 [size=\"43159552\", alpha=\"0.01\", expect_size=\"21579776\"] \n  24 [size=\"75255808\", alpha=\"0.14\", expect_size=\"37627904\"] \n  25 [size=\"41574400\", alpha=\"0.01\", expect_size=\"20787200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31180800\", alpha=\"0.18\", expect_size=\"15590400\"] \n  1 -> 2 [size =\"15590400\"]\n  2 [size=\"89319424\", alpha=\"0.13\", expect_size=\"44659712\"] \n  2 -> 3 [size =\"44659712\"]\n  3 [size=\"99186688\", alpha=\"0.06\", expect_size=\"49593344\"] \n  3 -> 4 [size =\"49593344\"]\n  4 [size=\"31598592\", alpha=\"0.17\", expect_size=\"15799296\"] \n  4 -> 5 [size =\"15799296\"]\n  5 [size=\"43608064\", alpha=\"0.08\", expect_size=\"21804032\"] \n  5 -> 6 [size =\"21804032\"]\n  6 [size=\"95012864\", alpha=\"0.07\", expect_size=\"47506432\"] \n  6 -> 7 [size =\"47506432\"]\n  7 [size=\"92016640\", alpha=\"0.14\", expect_size=\"46008320\"] \n  7 -> 8 [size =\"46008320\"]\n  8 [size=\"91580416\", alpha=\"0.13\", expect_size=\"45790208\"] \n  8 -> 9 [size =\"45790208\"]\n  9 [size=\"43272192\", alpha=\"0.18\", expect_size=\"21636096\"] \n  9 -> 10 [size =\"21636096\"]\n  10 [size=\"49797120\", alpha=\"0.12\", expect_size=\"24898560\"] \n  10 -> 11 [size =\"24898560\"]\n  11 [size=\"51687424\", alpha=\"0.15\", expect_size=\"25843712\"] \n  11 -> 12 [size =\"25843712\"]\n  12 [size=\"42629120\", alpha=\"0.17\", expect_size=\"21314560\"] \n  12 -> 13 [size =\"21314560\"]\n  13 [size=\"101826560\", alpha=\"0.03\", expect_size=\"50913280\"] \n  13 -> 14 [size =\"50913280\"]\n  14 [size=\"36702208\", alpha=\"0.16\", expect_size=\"18351104\"] \n  14 -> 15 [size =\"18351104\"]\n  15 [size=\"21700608\", alpha=\"0.14\", expect_size=\"10850304\"] \n  15 -> 16 [size =\"10850304\"]\n  16 [size=\"58431488\", alpha=\"0.19\", expect_size=\"29215744\"] \n  16 -> 17 [size =\"29215744\"]\n  17 [size=\"93108224\", alpha=\"0.05\", expect_size=\"46554112\"] \n  17 -> 18 [size =\"46554112\"]\n  18 [size=\"63492096\", alpha=\"0.20\", expect_size=\"31746048\"] \n  18 -> 19 [size =\"31746048\"]\n  19 [size=\"30744576\", alpha=\"0.19\", expect_size=\"15372288\"] \n  19 -> 20 [size =\"15372288\"]\n  20 [size=\"19630080\", alpha=\"0.13\", expect_size=\"9815040\"] \n  20 -> 21 [size =\"9815040\"]\n  21 [size=\"74862592\", alpha=\"0.12\", expect_size=\"37431296\"] \n  21 -> 22 [size =\"37431296\"]\n  22 [size=\"51075072\", alpha=\"0.07\", expect_size=\"25537536\"] \n  22 -> 23 [size =\"25537536\"]\n  23 [size=\"38668288\", alpha=\"0.01\", expect_size=\"19334144\"] \n  23 -> 24 [size =\"19334144\"]\n  24 [size=\"51828736\", alpha=\"0.19\", expect_size=\"25914368\"] \n  24 -> 25 [size =\"25914368\"]\n  25 [size=\"33245184\", alpha=\"0.05\", expect_size=\"16622592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44744704\", alpha=\"0.16\", expect_size=\"22372352\"] \n  1 -> 4 [size =\"22372352\"]\n  1 -> 5 [size =\"22372352\"]\n  1 -> 6 [size =\"22372352\"]\n  1 -> 7 [size =\"22372352\"]\n  2 [size=\"101208064\", alpha=\"0.02\", expect_size=\"50604032\"] \n  2 -> 4 [size =\"50604032\"]\n  2 -> 6 [size =\"50604032\"]\n  3 [size=\"62095360\", alpha=\"0.16\", expect_size=\"31047680\"] \n  4 [size=\"33433600\", alpha=\"0.01\", expect_size=\"16716800\"] \n  4 -> 10 [size =\"16716800\"]\n  5 [size=\"87859200\", alpha=\"0.11\", expect_size=\"43929600\"] \n  6 [size=\"75104256\", alpha=\"0.00\", expect_size=\"37552128\"] \n  6 -> 8 [size =\"37552128\"]\n  6 -> 9 [size =\"37552128\"]\n  7 [size=\"87375872\", alpha=\"0.19\", expect_size=\"43687936\"] \n  7 -> 9 [size =\"43687936\"]\n  7 -> 10 [size =\"43687936\"]\n  8 [size=\"48658432\", alpha=\"0.03\", expect_size=\"24329216\"] \n  8 -> 11 [size =\"24329216\"]\n  8 -> 12 [size =\"24329216\"]\n  8 -> 13 [size =\"24329216\"]\n  8 -> 14 [size =\"24329216\"]\n  9 [size=\"73148416\", alpha=\"0.03\", expect_size=\"36574208\"] \n  9 -> 14 [size =\"36574208\"]\n  10 [size=\"38957056\", alpha=\"0.02\", expect_size=\"19478528\"] \n  10 -> 13 [size =\"19478528\"]\n  10 -> 14 [size =\"19478528\"]\n  11 [size=\"10676224\", alpha=\"0.05\", expect_size=\"5338112\"] \n  11 -> 15 [size =\"5338112\"]\n  11 -> 17 [size =\"5338112\"]\n  11 -> 18 [size =\"5338112\"]\n  12 [size=\"84553728\", alpha=\"0.18\", expect_size=\"42276864\"] \n  12 -> 15 [size =\"42276864\"]\n  12 -> 16 [size =\"42276864\"]\n  12 -> 17 [size =\"42276864\"]\n  12 -> 18 [size =\"42276864\"]\n  13 [size=\"94922752\", alpha=\"0.12\", expect_size=\"47461376\"] \n  13 -> 16 [size =\"47461376\"]\n  13 -> 18 [size =\"47461376\"]\n  14 [size=\"77099008\", alpha=\"0.08\", expect_size=\"38549504\"] \n  14 -> 15 [size =\"38549504\"]\n  14 -> 17 [size =\"38549504\"]\n  15 [size=\"82690048\", alpha=\"0.10\", expect_size=\"41345024\"] \n  15 -> 21 [size =\"41345024\"]\n  15 -> 22 [size =\"41345024\"]\n  16 [size=\"39129088\", alpha=\"0.13\", expect_size=\"19564544\"] \n  16 -> 19 [size =\"19564544\"]\n  16 -> 21 [size =\"19564544\"]\n  16 -> 22 [size =\"19564544\"]\n  17 [size=\"41318400\", alpha=\"0.14\", expect_size=\"20659200\"] \n  17 -> 19 [size =\"20659200\"]\n  18 [size=\"36845568\", alpha=\"0.11\", expect_size=\"18422784\"] \n  18 -> 20 [size =\"18422784\"]\n  18 -> 22 [size =\"18422784\"]\n  19 [size=\"51906560\", alpha=\"0.03\", expect_size=\"25953280\"] \n  19 -> 23 [size =\"25953280\"]\n  19 -> 24 [size =\"25953280\"]\n  19 -> 25 [size =\"25953280\"]\n  20 [size=\"67997696\", alpha=\"0.14\", expect_size=\"33998848\"] \n  20 -> 23 [size =\"33998848\"]\n  20 -> 24 [size =\"33998848\"]\n  20 -> 25 [size =\"33998848\"]\n  21 [size=\"76703744\", alpha=\"0.12\", expect_size=\"38351872\"] \n  21 -> 25 [size =\"38351872\"]\n  22 [size=\"102494208\", alpha=\"0.10\", expect_size=\"51247104\"] \n  22 -> 23 [size =\"51247104\"]\n  22 -> 24 [size =\"51247104\"]\n  23 [size=\"91047936\", alpha=\"0.19\", expect_size=\"45523968\"] \n  24 [size=\"51568640\", alpha=\"0.12\", expect_size=\"25784320\"] \n  25 [size=\"90746880\", alpha=\"0.02\", expect_size=\"45373440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44337152\", alpha=\"0.13\", expect_size=\"22168576\"] \n  1 -> 2 [size =\"22168576\"]\n  2 [size=\"32010240\", alpha=\"0.12\", expect_size=\"16005120\"] \n  2 -> 3 [size =\"16005120\"]\n  2 -> 4 [size =\"16005120\"]\n  3 [size=\"48041984\", alpha=\"0.05\", expect_size=\"24020992\"] \n  3 -> 6 [size =\"24020992\"]\n  4 [size=\"99112960\", alpha=\"0.12\", expect_size=\"49556480\"] \n  4 -> 5 [size =\"49556480\"]\n  4 -> 6 [size =\"49556480\"]\n  5 [size=\"57387008\", alpha=\"0.01\", expect_size=\"28693504\"] \n  5 -> 7 [size =\"28693504\"]\n  6 [size=\"60262400\", alpha=\"0.17\", expect_size=\"30131200\"] \n  6 -> 7 [size =\"30131200\"]\n  7 [size=\"93198336\", alpha=\"0.15\", expect_size=\"46599168\"] \n  7 -> 8 [size =\"46599168\"]\n  7 -> 9 [size =\"46599168\"]\n  8 [size=\"41568256\", alpha=\"0.04\", expect_size=\"20784128\"] \n  8 -> 10 [size =\"20784128\"]\n  8 -> 11 [size =\"20784128\"]\n  9 [size=\"39686144\", alpha=\"0.12\", expect_size=\"19843072\"] \n  9 -> 10 [size =\"19843072\"]\n  9 -> 11 [size =\"19843072\"]\n  10 [size=\"101038080\", alpha=\"0.07\", expect_size=\"50519040\"] \n  10 -> 12 [size =\"50519040\"]\n  11 [size=\"63844352\", alpha=\"0.16\", expect_size=\"31922176\"] \n  11 -> 12 [size =\"31922176\"]\n  12 [size=\"30132224\", alpha=\"0.08\", expect_size=\"15066112\"] \n  12 -> 13 [size =\"15066112\"]\n  13 [size=\"85731328\", alpha=\"0.08\", expect_size=\"42865664\"] \n  13 -> 14 [size =\"42865664\"]\n  14 [size=\"16988160\", alpha=\"0.15\", expect_size=\"8494080\"] \n  14 -> 15 [size =\"8494080\"]\n  14 -> 16 [size =\"8494080\"]\n  15 [size=\"72372224\", alpha=\"0.02\", expect_size=\"36186112\"] \n  15 -> 17 [size =\"36186112\"]\n  16 [size=\"78217216\", alpha=\"0.02\", expect_size=\"39108608\"] \n  16 -> 17 [size =\"39108608\"]\n  17 [size=\"62947328\", alpha=\"0.19\", expect_size=\"31473664\"] \n  17 -> 18 [size =\"31473664\"]\n  18 [size=\"40155136\", alpha=\"0.02\", expect_size=\"20077568\"] \n  18 -> 19 [size =\"20077568\"]\n  18 -> 20 [size =\"20077568\"]\n  19 [size=\"59781120\", alpha=\"0.14\", expect_size=\"29890560\"] \n  19 -> 21 [size =\"29890560\"]\n  19 -> 22 [size =\"29890560\"]\n  20 [size=\"23642112\", alpha=\"0.19\", expect_size=\"11821056\"] \n  20 -> 21 [size =\"11821056\"]\n  20 -> 22 [size =\"11821056\"]\n  21 [size=\"56031232\", alpha=\"0.11\", expect_size=\"28015616\"] \n  21 -> 24 [size =\"28015616\"]\n  22 [size=\"35622912\", alpha=\"0.08\", expect_size=\"17811456\"] \n  22 -> 23 [size =\"17811456\"]\n  22 -> 24 [size =\"17811456\"]\n  23 [size=\"75667456\", alpha=\"0.13\", expect_size=\"37833728\"] \n  23 -> 25 [size =\"37833728\"]\n  24 [size=\"18964480\", alpha=\"0.16\", expect_size=\"9482240\"] \n  24 -> 25 [size =\"9482240\"]\n  25 [size=\"88199168\", alpha=\"0.10\", expect_size=\"44099584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59310080\", alpha=\"0.09\", expect_size=\"23724032\"] \n  2 [size=\"116659200\", alpha=\"0.10\", expect_size=\"46663680\"] \n  2 -> 3 [size =\"46663680\"]\n  3 [size=\"30323200\", alpha=\"0.05\", expect_size=\"12129280\"] \n  3 -> 4 [size =\"12129280\"]\n  4 [size=\"115184640\", alpha=\"0.06\", expect_size=\"46073856\"] \n  4 -> 5 [size =\"46073856\"]\n  4 -> 6 [size =\"46073856\"]\n  5 [size=\"28738560\", alpha=\"0.20\", expect_size=\"11495424\"] \n  5 -> 7 [size =\"11495424\"]\n  6 [size=\"70986240\", alpha=\"0.18\", expect_size=\"28394496\"] \n  7 [size=\"96826880\", alpha=\"0.11\", expect_size=\"38730752\"] \n  7 -> 8 [size =\"38730752\"]\n  8 [size=\"102202880\", alpha=\"0.04\", expect_size=\"40881152\"] \n  8 -> 9 [size =\"40881152\"]\n  8 -> 10 [size =\"40881152\"]\n  9 [size=\"102489600\", alpha=\"0.08\", expect_size=\"40995840\"] \n  10 [size=\"73955840\", alpha=\"0.11\", expect_size=\"29582336\"] \n  10 -> 11 [size =\"29582336\"]\n  11 [size=\"129978880\", alpha=\"0.08\", expect_size=\"51991552\"] \n  11 -> 12 [size =\"51991552\"]\n  11 -> 13 [size =\"51991552\"]\n  12 [size=\"67927040\", alpha=\"0.03\", expect_size=\"27170816\"] \n  12 -> 14 [size =\"27170816\"]\n  12 -> 15 [size =\"27170816\"]\n  13 [size=\"127431680\", alpha=\"0.02\", expect_size=\"50972672\"] \n  14 [size=\"38064640\", alpha=\"0.17\", expect_size=\"15225856\"] \n  15 [size=\"71969280\", alpha=\"0.19\", expect_size=\"28787712\"] \n  15 -> 16 [size =\"28787712\"]\n  16 [size=\"69964800\", alpha=\"0.07\", expect_size=\"27985920\"] \n  16 -> 17 [size =\"27985920\"]\n  16 -> 18 [size =\"27985920\"]\n  17 [size=\"58654720\", alpha=\"0.20\", expect_size=\"23461888\"] \n  18 [size=\"123770880\", alpha=\"0.11\", expect_size=\"49508352\"] \n  18 -> 19 [size =\"49508352\"]\n  19 [size=\"26734080\", alpha=\"0.17\", expect_size=\"10693632\"] \n  19 -> 20 [size =\"10693632\"]\n  19 -> 21 [size =\"10693632\"]\n  20 [size=\"73559040\", alpha=\"0.17\", expect_size=\"29423616\"] \n  20 -> 23 [size =\"29423616\"]\n  21 [size=\"20664320\", alpha=\"0.05\", expect_size=\"8265728\"] \n  21 -> 22 [size =\"8265728\"]\n  22 [size=\"66598400\", alpha=\"0.10\", expect_size=\"26639360\"] \n  23 [size=\"84428800\", alpha=\"0.18\", expect_size=\"33771520\"] \n  23 -> 24 [size =\"33771520\"]\n  24 [size=\"96209920\", alpha=\"0.03\", expect_size=\"38483968\"] \n  24 -> 25 [size =\"38483968\"]\n  25 [size=\"77606400\", alpha=\"0.11\", expect_size=\"31042560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70598656\", alpha=\"0.06\", expect_size=\"35299328\"] \n  1 -> 4 [size =\"35299328\"]\n  1 -> 5 [size =\"35299328\"]\n  1 -> 6 [size =\"35299328\"]\n  1 -> 7 [size =\"35299328\"]\n  2 [size=\"59830272\", alpha=\"0.00\", expect_size=\"29915136\"] \n  2 -> 7 [size =\"29915136\"]\n  3 [size=\"91961344\", alpha=\"0.11\", expect_size=\"45980672\"] \n  3 -> 4 [size =\"45980672\"]\n  3 -> 5 [size =\"45980672\"]\n  3 -> 6 [size =\"45980672\"]\n  3 -> 7 [size =\"45980672\"]\n  4 [size=\"42563584\", alpha=\"0.14\", expect_size=\"21281792\"] \n  4 -> 8 [size =\"21281792\"]\n  4 -> 9 [size =\"21281792\"]\n  5 [size=\"38756352\", alpha=\"0.07\", expect_size=\"19378176\"] \n  5 -> 8 [size =\"19378176\"]\n  5 -> 10 [size =\"19378176\"]\n  6 [size=\"96557056\", alpha=\"0.08\", expect_size=\"48278528\"] \n  6 -> 8 [size =\"48278528\"]\n  6 -> 10 [size =\"48278528\"]\n  7 [size=\"29644800\", alpha=\"0.13\", expect_size=\"14822400\"] \n  8 [size=\"102434816\", alpha=\"0.07\", expect_size=\"51217408\"] \n  8 -> 11 [size =\"51217408\"]\n  8 -> 12 [size =\"51217408\"]\n  8 -> 13 [size =\"51217408\"]\n  8 -> 14 [size =\"51217408\"]\n  9 [size=\"46954496\", alpha=\"0.14\", expect_size=\"23477248\"] \n  9 -> 11 [size =\"23477248\"]\n  9 -> 12 [size =\"23477248\"]\n  9 -> 14 [size =\"23477248\"]\n  10 [size=\"99889152\", alpha=\"0.09\", expect_size=\"49944576\"] \n  10 -> 11 [size =\"49944576\"]\n  10 -> 12 [size =\"49944576\"]\n  10 -> 13 [size =\"49944576\"]\n  10 -> 14 [size =\"49944576\"]\n  11 [size=\"87554048\", alpha=\"0.09\", expect_size=\"43777024\"] \n  11 -> 15 [size =\"43777024\"]\n  11 -> 16 [size =\"43777024\"]\n  11 -> 17 [size =\"43777024\"]\n  12 [size=\"20922368\", alpha=\"0.11\", expect_size=\"10461184\"] \n  12 -> 15 [size =\"10461184\"]\n  12 -> 17 [size =\"10461184\"]\n  13 [size=\"22915072\", alpha=\"0.04\", expect_size=\"11457536\"] \n  13 -> 15 [size =\"11457536\"]\n  13 -> 17 [size =\"11457536\"]\n  14 [size=\"76951552\", alpha=\"0.12\", expect_size=\"38475776\"] \n  14 -> 15 [size =\"38475776\"]\n  14 -> 17 [size =\"38475776\"]\n  15 [size=\"50786304\", alpha=\"0.13\", expect_size=\"25393152\"] \n  15 -> 19 [size =\"25393152\"]\n  16 [size=\"85557248\", alpha=\"0.00\", expect_size=\"42778624\"] \n  16 -> 18 [size =\"42778624\"]\n  16 -> 19 [size =\"42778624\"]\n  16 -> 21 [size =\"42778624\"]\n  17 [size=\"29493248\", alpha=\"0.06\", expect_size=\"14746624\"] \n  17 -> 19 [size =\"14746624\"]\n  17 -> 20 [size =\"14746624\"]\n  18 [size=\"89061376\", alpha=\"0.01\", expect_size=\"44530688\"] \n  18 -> 22 [size =\"44530688\"]\n  18 -> 23 [size =\"44530688\"]\n  18 -> 24 [size =\"44530688\"]\n  18 -> 25 [size =\"44530688\"]\n  19 [size=\"28829696\", alpha=\"0.10\", expect_size=\"14414848\"] \n  19 -> 23 [size =\"14414848\"]\n  20 [size=\"93843456\", alpha=\"0.01\", expect_size=\"46921728\"] \n  20 -> 22 [size =\"46921728\"]\n  20 -> 23 [size =\"46921728\"]\n  20 -> 24 [size =\"46921728\"]\n  20 -> 25 [size =\"46921728\"]\n  21 [size=\"40622080\", alpha=\"0.05\", expect_size=\"20311040\"] \n  21 -> 22 [size =\"20311040\"]\n  21 -> 23 [size =\"20311040\"]\n  21 -> 24 [size =\"20311040\"]\n  21 -> 25 [size =\"20311040\"]\n  22 [size=\"83156992\", alpha=\"0.19\", expect_size=\"41578496\"] \n  23 [size=\"38666240\", alpha=\"0.10\", expect_size=\"19333120\"] \n  24 [size=\"55902208\", alpha=\"0.08\", expect_size=\"27951104\"] \n  25 [size=\"18518016\", alpha=\"0.12\", expect_size=\"9259008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49633280\", alpha=\"0.14\", expect_size=\"14889984\"] \n  1 -> 7 [size =\"14889984\"]\n  1 -> 9 [size =\"14889984\"]\n  1 -> 10 [size =\"14889984\"]\n  1 -> 12 [size =\"14889984\"]\n  1 -> 13 [size =\"14889984\"]\n  1 -> 14 [size =\"14889984\"]\n  2 [size=\"111097173\", alpha=\"0.13\", expect_size=\"33329152\"] \n  2 -> 6 [size =\"33329152\"]\n  2 -> 7 [size =\"33329152\"]\n  2 -> 11 [size =\"33329152\"]\n  2 -> 12 [size =\"33329152\"]\n  2 -> 14 [size =\"33329152\"]\n  3 [size=\"169710933\", alpha=\"0.18\", expect_size=\"50913280\"] \n  3 -> 6 [size =\"50913280\"]\n  3 -> 7 [size =\"50913280\"]\n  3 -> 11 [size =\"50913280\"]\n  3 -> 13 [size =\"50913280\"]\n  3 -> 14 [size =\"50913280\"]\n  4 [size=\"147892907\", alpha=\"0.03\", expect_size=\"44367872\"] \n  4 -> 7 [size =\"44367872\"]\n  4 -> 7 [size =\"44367872\"]\n  4 -> 8 [size =\"44367872\"]\n  4 -> 10 [size =\"44367872\"]\n  4 -> 14 [size =\"44367872\"]\n  5 [size=\"174496427\", alpha=\"0.09\", expect_size=\"52348928\"] \n  5 -> 9 [size =\"52348928\"]\n  5 -> 10 [size =\"52348928\"]\n  5 -> 11 [size =\"52348928\"]\n  5 -> 14 [size =\"52348928\"]\n  6 [size=\"35853653\", alpha=\"0.14\", expect_size=\"10756096\"] \n  6 -> 15 [size =\"10756096\"]\n  6 -> 19 [size =\"10756096\"]\n  6 -> 20 [size =\"10756096\"]\n  6 -> 25 [size =\"10756096\"]\n  7 [size=\"93928107\", alpha=\"0.13\", expect_size=\"28178432\"] \n  7 -> 15 [size =\"28178432\"]\n  7 -> 16 [size =\"28178432\"]\n  7 -> 17 [size =\"28178432\"]\n  7 -> 18 [size =\"28178432\"]\n  7 -> 20 [size =\"28178432\"]\n  7 -> 21 [size =\"28178432\"]\n  7 -> 22 [size =\"28178432\"]\n  7 -> 23 [size =\"28178432\"]\n  7 -> 25 [size =\"28178432\"]\n  8 [size=\"155255467\", alpha=\"0.14\", expect_size=\"46576640\"] \n  8 -> 15 [size =\"46576640\"]\n  8 -> 16 [size =\"46576640\"]\n  8 -> 19 [size =\"46576640\"]\n  8 -> 20 [size =\"46576640\"]\n  8 -> 20 [size =\"46576640\"]\n  8 -> 21 [size =\"46576640\"]\n  8 -> 23 [size =\"46576640\"]\n  9 [size=\"22992213\", alpha=\"0.08\", expect_size=\"6897664\"] \n  9 -> 15 [size =\"6897664\"]\n  9 -> 16 [size =\"6897664\"]\n  9 -> 18 [size =\"6897664\"]\n  9 -> 21 [size =\"6897664\"]\n  9 -> 22 [size =\"6897664\"]\n  9 -> 23 [size =\"6897664\"]\n  10 [size=\"34628267\", alpha=\"0.18\", expect_size=\"10388480\"] \n  10 -> 15 [size =\"10388480\"]\n  10 -> 16 [size =\"10388480\"]\n  10 -> 17 [size =\"10388480\"]\n  10 -> 19 [size =\"10388480\"]\n  10 -> 20 [size =\"10388480\"]\n  10 -> 22 [size =\"10388480\"]\n  11 [size=\"24436053\", alpha=\"0.08\", expect_size=\"7330816\"] \n  11 -> 15 [size =\"7330816\"]\n  11 -> 16 [size =\"7330816\"]\n  11 -> 23 [size =\"7330816\"]\n  11 -> 24 [size =\"7330816\"]\n  12 [size=\"133290667\", alpha=\"0.12\", expect_size=\"39987200\"] \n  12 -> 16 [size =\"39987200\"]\n  12 -> 16 [size =\"39987200\"]\n  12 -> 19 [size =\"39987200\"]\n  12 -> 20 [size =\"39987200\"]\n  12 -> 22 [size =\"39987200\"]\n  12 -> 23 [size =\"39987200\"]\n  12 -> 25 [size =\"39987200\"]\n  13 [size=\"75031893\", alpha=\"0.13\", expect_size=\"22509568\"] \n  13 -> 16 [size =\"22509568\"]\n  13 -> 20 [size =\"22509568\"]\n  13 -> 22 [size =\"22509568\"]\n  13 -> 23 [size =\"22509568\"]\n  14 [size=\"60313600\", alpha=\"0.13\", expect_size=\"18094080\"] \n  14 -> 15 [size =\"18094080\"]\n  14 -> 21 [size =\"18094080\"]\n  14 -> 25 [size =\"18094080\"]\n  15 [size=\"82804053\", alpha=\"0.17\", expect_size=\"24841216\"] \n  16 [size=\"154634240\", alpha=\"0.19\", expect_size=\"46390272\"] \n  17 [size=\"103850667\", alpha=\"0.16\", expect_size=\"31155200\"] \n  18 [size=\"47636480\", alpha=\"0.20\", expect_size=\"14290944\"] \n  19 [size=\"160785067\", alpha=\"0.03\", expect_size=\"48235520\"] \n  20 [size=\"67392853\", alpha=\"0.09\", expect_size=\"20217856\"] \n  21 [size=\"54917120\", alpha=\"0.19\", expect_size=\"16475136\"] \n  22 [size=\"114786987\", alpha=\"0.02\", expect_size=\"34436096\"] \n  23 [size=\"53753173\", alpha=\"0.03\", expect_size=\"16125952\"] \n  24 [size=\"157395627\", alpha=\"0.01\", expect_size=\"47218688\"] \n  25 [size=\"99522560\", alpha=\"0.19\", expect_size=\"29856768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42752000\", alpha=\"0.13\", expect_size=\"21376000\"] \n  1 -> 14 [size =\"21376000\"]\n  1 -> 15 [size =\"21376000\"]\n  1 -> 17 [size =\"21376000\"]\n  2 [size=\"87293952\", alpha=\"0.15\", expect_size=\"43646976\"] \n  2 -> 10 [size =\"43646976\"]\n  2 -> 11 [size =\"43646976\"]\n  2 -> 13 [size =\"43646976\"]\n  2 -> 15 [size =\"43646976\"]\n  3 [size=\"70230016\", alpha=\"0.04\", expect_size=\"35115008\"] \n  3 -> 13 [size =\"35115008\"]\n  3 -> 15 [size =\"35115008\"]\n  4 [size=\"69627904\", alpha=\"0.02\", expect_size=\"34813952\"] \n  4 -> 9 [size =\"34813952\"]\n  4 -> 17 [size =\"34813952\"]\n  5 [size=\"49301504\", alpha=\"0.20\", expect_size=\"24650752\"] \n  5 -> 9 [size =\"24650752\"]\n  5 -> 11 [size =\"24650752\"]\n  5 -> 15 [size =\"24650752\"]\n  5 -> 16 [size =\"24650752\"]\n  5 -> 17 [size =\"24650752\"]\n  6 [size=\"57264128\", alpha=\"0.06\", expect_size=\"28632064\"] \n  6 -> 9 [size =\"28632064\"]\n  6 -> 11 [size =\"28632064\"]\n  6 -> 13 [size =\"28632064\"]\n  6 -> 16 [size =\"28632064\"]\n  7 [size=\"18530304\", alpha=\"0.17\", expect_size=\"9265152\"] \n  7 -> 9 [size =\"9265152\"]\n  7 -> 11 [size =\"9265152\"]\n  7 -> 12 [size =\"9265152\"]\n  7 -> 14 [size =\"9265152\"]\n  7 -> 16 [size =\"9265152\"]\n  7 -> 17 [size =\"9265152\"]\n  8 [size=\"88229888\", alpha=\"0.02\", expect_size=\"44114944\"] \n  8 -> 9 [size =\"44114944\"]\n  8 -> 14 [size =\"44114944\"]\n  8 -> 15 [size =\"44114944\"]\n  8 -> 16 [size =\"44114944\"]\n  8 -> 16 [size =\"44114944\"]\n  9 [size=\"96569344\", alpha=\"0.00\", expect_size=\"48284672\"] \n  9 -> 21 [size =\"48284672\"]\n  9 -> 24 [size =\"48284672\"]\n  10 [size=\"88254464\", alpha=\"0.17\", expect_size=\"44127232\"] \n  10 -> 19 [size =\"44127232\"]\n  10 -> 24 [size =\"44127232\"]\n  11 [size=\"91713536\", alpha=\"0.04\", expect_size=\"45856768\"] \n  11 -> 18 [size =\"45856768\"]\n  11 -> 19 [size =\"45856768\"]\n  11 -> 25 [size =\"45856768\"]\n  12 [size=\"56715264\", alpha=\"0.20\", expect_size=\"28357632\"] \n  12 -> 18 [size =\"28357632\"]\n  12 -> 19 [size =\"28357632\"]\n  12 -> 20 [size =\"28357632\"]\n  12 -> 21 [size =\"28357632\"]\n  12 -> 24 [size =\"28357632\"]\n  13 [size=\"31717376\", alpha=\"0.01\", expect_size=\"15858688\"] \n  13 -> 18 [size =\"15858688\"]\n  14 [size=\"52824064\", alpha=\"0.13\", expect_size=\"26412032\"] \n  14 -> 18 [size =\"26412032\"]\n  14 -> 20 [size =\"26412032\"]\n  14 -> 23 [size =\"26412032\"]\n  14 -> 24 [size =\"26412032\"]\n  15 [size=\"64004096\", alpha=\"0.14\", expect_size=\"32002048\"] \n  15 -> 24 [size =\"32002048\"]\n  16 [size=\"61743104\", alpha=\"0.13\", expect_size=\"30871552\"] \n  17 [size=\"91097088\", alpha=\"0.07\", expect_size=\"45548544\"] \n  17 -> 18 [size =\"45548544\"]\n  17 -> 22 [size =\"45548544\"]\n  18 [size=\"79030272\", alpha=\"0.10\", expect_size=\"39515136\"] \n  19 [size=\"90728448\", alpha=\"0.17\", expect_size=\"45364224\"] \n  20 [size=\"92276736\", alpha=\"0.11\", expect_size=\"46138368\"] \n  21 [size=\"78503936\", alpha=\"0.11\", expect_size=\"39251968\"] \n  22 [size=\"95356928\", alpha=\"0.08\", expect_size=\"47678464\"] \n  23 [size=\"94980096\", alpha=\"0.18\", expect_size=\"47490048\"] \n  24 [size=\"100386816\", alpha=\"0.00\", expect_size=\"50193408\"] \n  25 [size=\"65335296\", alpha=\"0.11\", expect_size=\"32667648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53475840\", alpha=\"0.01\", expect_size=\"21390336\"] \n  1 -> 4 [size =\"21390336\"]\n  2 [size=\"77153280\", alpha=\"0.13\", expect_size=\"30861312\"] \n  2 -> 3 [size =\"30861312\"]\n  2 -> 4 [size =\"30861312\"]\n  2 -> 5 [size =\"30861312\"]\n  3 [size=\"83453440\", alpha=\"0.18\", expect_size=\"33381376\"] \n  3 -> 7 [size =\"33381376\"]\n  3 -> 8 [size =\"33381376\"]\n  4 [size=\"71882240\", alpha=\"0.05\", expect_size=\"28752896\"] \n  5 [size=\"65978880\", alpha=\"0.02\", expect_size=\"26391552\"] \n  5 -> 6 [size =\"26391552\"]\n  6 [size=\"25525760\", alpha=\"0.11\", expect_size=\"10210304\"] \n  6 -> 10 [size =\"10210304\"]\n  6 -> 12 [size =\"10210304\"]\n  7 [size=\"16939520\", alpha=\"0.00\", expect_size=\"6775808\"] \n  7 -> 9 [size =\"6775808\"]\n  7 -> 11 [size =\"6775808\"]\n  7 -> 12 [size =\"6775808\"]\n  7 -> 13 [size =\"6775808\"]\n  8 [size=\"87508480\", alpha=\"0.01\", expect_size=\"35003392\"] \n  8 -> 10 [size =\"35003392\"]\n  8 -> 11 [size =\"35003392\"]\n  9 [size=\"106480640\", alpha=\"0.01\", expect_size=\"42592256\"] \n  9 -> 15 [size =\"42592256\"]\n  10 [size=\"128768000\", alpha=\"0.12\", expect_size=\"51507200\"] \n  10 -> 16 [size =\"51507200\"]\n  11 [size=\"117312000\", alpha=\"0.08\", expect_size=\"46924800\"] \n  11 -> 15 [size =\"46924800\"]\n  11 -> 16 [size =\"46924800\"]\n  12 [size=\"126115840\", alpha=\"0.06\", expect_size=\"50446336\"] \n  12 -> 16 [size =\"50446336\"]\n  13 [size=\"86945280\", alpha=\"0.02\", expect_size=\"34778112\"] \n  13 -> 14 [size =\"34778112\"]\n  14 [size=\"77783040\", alpha=\"0.20\", expect_size=\"31113216\"] \n  14 -> 17 [size =\"31113216\"]\n  14 -> 18 [size =\"31113216\"]\n  14 -> 19 [size =\"31113216\"]\n  15 [size=\"108689920\", alpha=\"0.13\", expect_size=\"43475968\"] \n  15 -> 20 [size =\"43475968\"]\n  16 [size=\"122680320\", alpha=\"0.19\", expect_size=\"49072128\"] \n  16 -> 17 [size =\"49072128\"]\n  16 -> 20 [size =\"49072128\"]\n  17 [size=\"71534080\", alpha=\"0.05\", expect_size=\"28613632\"] \n  18 [size=\"73239040\", alpha=\"0.05\", expect_size=\"29295616\"] \n  18 -> 24 [size =\"29295616\"]\n  19 [size=\"81904640\", alpha=\"0.09\", expect_size=\"32761856\"] \n  19 -> 21 [size =\"32761856\"]\n  19 -> 24 [size =\"32761856\"]\n  20 [size=\"87910400\", alpha=\"0.04\", expect_size=\"35164160\"] \n  20 -> 22 [size =\"35164160\"]\n  20 -> 23 [size =\"35164160\"]\n  20 -> 24 [size =\"35164160\"]\n  21 [size=\"38530560\", alpha=\"0.06\", expect_size=\"15412224\"] \n  22 [size=\"83046400\", alpha=\"0.18\", expect_size=\"33218560\"] \n  22 -> 25 [size =\"33218560\"]\n  23 [size=\"118338560\", alpha=\"0.03\", expect_size=\"47335424\"] \n  24 [size=\"14643200\", alpha=\"0.17\", expect_size=\"5857280\"] \n  25 [size=\"13811200\", alpha=\"0.01\", expect_size=\"5524480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14649344\", alpha=\"0.04\", expect_size=\"7324672\"] \n  1 -> 2 [size =\"7324672\"]\n  2 [size=\"78675968\", alpha=\"0.16\", expect_size=\"39337984\"] \n  2 -> 3 [size =\"39337984\"]\n  3 [size=\"57962496\", alpha=\"0.11\", expect_size=\"28981248\"] \n  3 -> 4 [size =\"28981248\"]\n  4 [size=\"22423552\", alpha=\"0.11\", expect_size=\"11211776\"] \n  4 -> 5 [size =\"11211776\"]\n  5 [size=\"46901248\", alpha=\"0.10\", expect_size=\"23450624\"] \n  5 -> 6 [size =\"23450624\"]\n  6 [size=\"91592704\", alpha=\"0.18\", expect_size=\"45796352\"] \n  6 -> 7 [size =\"45796352\"]\n  7 [size=\"19329024\", alpha=\"0.10\", expect_size=\"9664512\"] \n  7 -> 8 [size =\"9664512\"]\n  8 [size=\"90380288\", alpha=\"0.11\", expect_size=\"45190144\"] \n  8 -> 9 [size =\"45190144\"]\n  9 [size=\"68917248\", alpha=\"0.13\", expect_size=\"34458624\"] \n  9 -> 10 [size =\"34458624\"]\n  10 [size=\"50741248\", alpha=\"0.10\", expect_size=\"25370624\"] \n  10 -> 11 [size =\"25370624\"]\n  11 [size=\"27035648\", alpha=\"0.19\", expect_size=\"13517824\"] \n  11 -> 12 [size =\"13517824\"]\n  12 [size=\"46143488\", alpha=\"0.05\", expect_size=\"23071744\"] \n  12 -> 13 [size =\"23071744\"]\n  13 [size=\"27119616\", alpha=\"0.00\", expect_size=\"13559808\"] \n  13 -> 14 [size =\"13559808\"]\n  14 [size=\"78825472\", alpha=\"0.17\", expect_size=\"39412736\"] \n  14 -> 15 [size =\"39412736\"]\n  15 [size=\"37582848\", alpha=\"0.14\", expect_size=\"18791424\"] \n  15 -> 16 [size =\"18791424\"]\n  16 [size=\"86962176\", alpha=\"0.12\", expect_size=\"43481088\"] \n  16 -> 17 [size =\"43481088\"]\n  17 [size=\"77359104\", alpha=\"0.17\", expect_size=\"38679552\"] \n  17 -> 18 [size =\"38679552\"]\n  18 [size=\"29003776\", alpha=\"0.07\", expect_size=\"14501888\"] \n  18 -> 19 [size =\"14501888\"]\n  19 [size=\"78635008\", alpha=\"0.19\", expect_size=\"39317504\"] \n  19 -> 20 [size =\"39317504\"]\n  20 [size=\"43952128\", alpha=\"0.02\", expect_size=\"21976064\"] \n  20 -> 21 [size =\"21976064\"]\n  21 [size=\"90769408\", alpha=\"0.06\", expect_size=\"45384704\"] \n  21 -> 22 [size =\"45384704\"]\n  22 [size=\"87674880\", alpha=\"0.04\", expect_size=\"43837440\"] \n  22 -> 23 [size =\"43837440\"]\n  23 [size=\"16723968\", alpha=\"0.13\", expect_size=\"8361984\"] \n  23 -> 24 [size =\"8361984\"]\n  24 [size=\"18644992\", alpha=\"0.04\", expect_size=\"9322496\"] \n  24 -> 25 [size =\"9322496\"]\n  25 [size=\"99295232\", alpha=\"0.02\", expect_size=\"49647616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43845120\", alpha=\"0.19\", expect_size=\"17538048\"] \n  1 -> 10 [size =\"17538048\"]\n  1 -> 12 [size =\"17538048\"]\n  2 [size=\"69457920\", alpha=\"0.11\", expect_size=\"27783168\"] \n  2 -> 10 [size =\"27783168\"]\n  2 -> 12 [size =\"27783168\"]\n  2 -> 15 [size =\"27783168\"]\n  3 [size=\"88417280\", alpha=\"0.14\", expect_size=\"35366912\"] \n  3 -> 9 [size =\"35366912\"]\n  3 -> 13 [size =\"35366912\"]\n  3 -> 15 [size =\"35366912\"]\n  3 -> 17 [size =\"35366912\"]\n  3 -> 19 [size =\"35366912\"]\n  4 [size=\"75796480\", alpha=\"0.01\", expect_size=\"30318592\"] \n  4 -> 9 [size =\"30318592\"]\n  4 -> 10 [size =\"30318592\"]\n  4 -> 16 [size =\"30318592\"]\n  5 [size=\"32629760\", alpha=\"0.11\", expect_size=\"13051904\"] \n  5 -> 9 [size =\"13051904\"]\n  5 -> 10 [size =\"13051904\"]\n  5 -> 17 [size =\"13051904\"]\n  5 -> 19 [size =\"13051904\"]\n  6 [size=\"30922240\", alpha=\"0.15\", expect_size=\"12368896\"] \n  6 -> 11 [size =\"12368896\"]\n  6 -> 13 [size =\"12368896\"]\n  6 -> 14 [size =\"12368896\"]\n  6 -> 17 [size =\"12368896\"]\n  6 -> 18 [size =\"12368896\"]\n  7 [size=\"120005120\", alpha=\"0.12\", expect_size=\"48002048\"] \n  7 -> 11 [size =\"48002048\"]\n  7 -> 12 [size =\"48002048\"]\n  7 -> 13 [size =\"48002048\"]\n  7 -> 19 [size =\"48002048\"]\n  8 [size=\"36267520\", alpha=\"0.18\", expect_size=\"14507008\"] \n  8 -> 9 [size =\"14507008\"]\n  8 -> 12 [size =\"14507008\"]\n  8 -> 14 [size =\"14507008\"]\n  8 -> 15 [size =\"14507008\"]\n  9 [size=\"81446400\", alpha=\"0.08\", expect_size=\"32578560\"] \n  9 -> 20 [size =\"32578560\"]\n  9 -> 25 [size =\"32578560\"]\n  10 [size=\"73661440\", alpha=\"0.04\", expect_size=\"29464576\"] \n  10 -> 22 [size =\"29464576\"]\n  11 [size=\"115079680\", alpha=\"0.13\", expect_size=\"46031872\"] \n  11 -> 22 [size =\"46031872\"]\n  12 [size=\"109460480\", alpha=\"0.04\", expect_size=\"43784192\"] \n  12 -> 21 [size =\"43784192\"]\n  12 -> 23 [size =\"43784192\"]\n  12 -> 24 [size =\"43784192\"]\n  13 [size=\"58268160\", alpha=\"0.17\", expect_size=\"23307264\"] \n  13 -> 25 [size =\"23307264\"]\n  14 [size=\"22013440\", alpha=\"0.04\", expect_size=\"8805376\"] \n  14 -> 22 [size =\"8805376\"]\n  15 [size=\"29706240\", alpha=\"0.07\", expect_size=\"11882496\"] \n  16 [size=\"95554560\", alpha=\"0.16\", expect_size=\"38221824\"] \n  17 [size=\"65008640\", alpha=\"0.14\", expect_size=\"26003456\"] \n  17 -> 21 [size =\"26003456\"]\n  17 -> 24 [size =\"26003456\"]\n  18 [size=\"17090560\", alpha=\"0.04\", expect_size=\"6836224\"] \n  18 -> 21 [size =\"6836224\"]\n  19 [size=\"120476160\", alpha=\"0.02\", expect_size=\"48190464\"] \n  19 -> 21 [size =\"48190464\"]\n  20 [size=\"48742400\", alpha=\"0.10\", expect_size=\"19496960\"] \n  21 [size=\"73080320\", alpha=\"0.03\", expect_size=\"29232128\"] \n  22 [size=\"29783040\", alpha=\"0.05\", expect_size=\"11913216\"] \n  23 [size=\"55498240\", alpha=\"0.01\", expect_size=\"22199296\"] \n  24 [size=\"35811840\", alpha=\"0.07\", expect_size=\"14324736\"] \n  25 [size=\"60753920\", alpha=\"0.16\", expect_size=\"24301568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53049344\", alpha=\"0.09\", expect_size=\"26524672\"] \n  1 -> 2 [size =\"26524672\"]\n  2 [size=\"18053120\", alpha=\"0.05\", expect_size=\"9026560\"] \n  2 -> 3 [size =\"9026560\"]\n  3 [size=\"37996544\", alpha=\"0.04\", expect_size=\"18998272\"] \n  3 -> 4 [size =\"18998272\"]\n  4 [size=\"28616704\", alpha=\"0.12\", expect_size=\"14308352\"] \n  4 -> 5 [size =\"14308352\"]\n  5 [size=\"47454208\", alpha=\"0.16\", expect_size=\"23727104\"] \n  5 -> 6 [size =\"23727104\"]\n  6 [size=\"76494848\", alpha=\"0.06\", expect_size=\"38247424\"] \n  6 -> 7 [size =\"38247424\"]\n  7 [size=\"13660160\", alpha=\"0.17\", expect_size=\"6830080\"] \n  7 -> 8 [size =\"6830080\"]\n  8 [size=\"68884480\", alpha=\"0.09\", expect_size=\"34442240\"] \n  8 -> 9 [size =\"34442240\"]\n  9 [size=\"72499200\", alpha=\"0.07\", expect_size=\"36249600\"] \n  9 -> 10 [size =\"36249600\"]\n  10 [size=\"74014720\", alpha=\"0.03\", expect_size=\"37007360\"] \n  10 -> 11 [size =\"37007360\"]\n  11 [size=\"88893440\", alpha=\"0.20\", expect_size=\"44446720\"] \n  11 -> 12 [size =\"44446720\"]\n  12 [size=\"39194624\", alpha=\"0.00\", expect_size=\"19597312\"] \n  12 -> 13 [size =\"19597312\"]\n  13 [size=\"62742528\", alpha=\"0.03\", expect_size=\"31371264\"] \n  13 -> 14 [size =\"31371264\"]\n  14 [size=\"82305024\", alpha=\"0.03\", expect_size=\"41152512\"] \n  14 -> 15 [size =\"41152512\"]\n  15 [size=\"44838912\", alpha=\"0.05\", expect_size=\"22419456\"] \n  15 -> 16 [size =\"22419456\"]\n  16 [size=\"24272896\", alpha=\"0.01\", expect_size=\"12136448\"] \n  16 -> 17 [size =\"12136448\"]\n  17 [size=\"52686848\", alpha=\"0.06\", expect_size=\"26343424\"] \n  17 -> 18 [size =\"26343424\"]\n  18 [size=\"38774784\", alpha=\"0.12\", expect_size=\"19387392\"] \n  18 -> 19 [size =\"19387392\"]\n  19 [size=\"80578560\", alpha=\"0.02\", expect_size=\"40289280\"] \n  19 -> 20 [size =\"40289280\"]\n  20 [size=\"17637376\", alpha=\"0.19\", expect_size=\"8818688\"] \n  20 -> 21 [size =\"8818688\"]\n  21 [size=\"34070528\", alpha=\"0.05\", expect_size=\"17035264\"] \n  21 -> 22 [size =\"17035264\"]\n  22 [size=\"31789056\", alpha=\"0.13\", expect_size=\"15894528\"] \n  22 -> 23 [size =\"15894528\"]\n  23 [size=\"31979520\", alpha=\"0.06\", expect_size=\"15989760\"] \n  23 -> 24 [size =\"15989760\"]\n  24 [size=\"47980544\", alpha=\"0.04\", expect_size=\"23990272\"] \n  24 -> 25 [size =\"23990272\"]\n  25 [size=\"60499968\", alpha=\"0.09\", expect_size=\"30249984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172854613\", alpha=\"0.11\", expect_size=\"51856384\"] \n  1 -> 2 [size =\"51856384\"]\n  2 [size=\"74949973\", alpha=\"0.13\", expect_size=\"22484992\"] \n  2 -> 3 [size =\"22484992\"]\n  3 [size=\"164621653\", alpha=\"0.03\", expect_size=\"49386496\"] \n  3 -> 4 [size =\"49386496\"]\n  3 -> 5 [size =\"49386496\"]\n  4 [size=\"28665173\", alpha=\"0.10\", expect_size=\"8599552\"] \n  4 -> 6 [size =\"8599552\"]\n  4 -> 7 [size =\"8599552\"]\n  5 [size=\"54548480\", alpha=\"0.17\", expect_size=\"16364544\"] \n  5 -> 7 [size =\"16364544\"]\n  6 [size=\"129235627\", alpha=\"0.15\", expect_size=\"38770688\"] \n  6 -> 8 [size =\"38770688\"]\n  6 -> 9 [size =\"38770688\"]\n  7 [size=\"91310080\", alpha=\"0.02\", expect_size=\"27393024\"] \n  7 -> 8 [size =\"27393024\"]\n  8 [size=\"64484693\", alpha=\"0.16\", expect_size=\"19345408\"] \n  8 -> 10 [size =\"19345408\"]\n  9 [size=\"40420693\", alpha=\"0.02\", expect_size=\"12126208\"] \n  10 [size=\"149275307\", alpha=\"0.20\", expect_size=\"44782592\"] \n  10 -> 11 [size =\"44782592\"]\n  10 -> 12 [size =\"44782592\"]\n  11 [size=\"109414400\", alpha=\"0.07\", expect_size=\"32824320\"] \n  11 -> 13 [size =\"32824320\"]\n  12 [size=\"42199040\", alpha=\"0.00\", expect_size=\"12659712\"] \n  12 -> 13 [size =\"12659712\"]\n  13 [size=\"142964053\", alpha=\"0.20\", expect_size=\"42889216\"] \n  13 -> 14 [size =\"42889216\"]\n  13 -> 15 [size =\"42889216\"]\n  14 [size=\"170110293\", alpha=\"0.06\", expect_size=\"51033088\"] \n  14 -> 16 [size =\"51033088\"]\n  14 -> 17 [size =\"51033088\"]\n  15 [size=\"93648213\", alpha=\"0.02\", expect_size=\"28094464\"] \n  15 -> 16 [size =\"28094464\"]\n  15 -> 17 [size =\"28094464\"]\n  16 [size=\"67461120\", alpha=\"0.05\", expect_size=\"20238336\"] \n  16 -> 18 [size =\"20238336\"]\n  17 [size=\"28989440\", alpha=\"0.07\", expect_size=\"8696832\"] \n  17 -> 18 [size =\"8696832\"]\n  18 [size=\"45025280\", alpha=\"0.12\", expect_size=\"13507584\"] \n  18 -> 19 [size =\"13507584\"]\n  19 [size=\"172817067\", alpha=\"0.03\", expect_size=\"51845120\"] \n  19 -> 20 [size =\"51845120\"]\n  19 -> 21 [size =\"51845120\"]\n  20 [size=\"27941547\", alpha=\"0.20\", expect_size=\"8382464\"] \n  21 [size=\"26043733\", alpha=\"0.16\", expect_size=\"7813120\"] \n  21 -> 22 [size =\"7813120\"]\n  22 [size=\"81967787\", alpha=\"0.00\", expect_size=\"24590336\"] \n  22 -> 23 [size =\"24590336\"]\n  22 -> 24 [size =\"24590336\"]\n  23 [size=\"85828267\", alpha=\"0.03\", expect_size=\"25748480\"] \n  23 -> 25 [size =\"25748480\"]\n  24 [size=\"84756480\", alpha=\"0.07\", expect_size=\"25426944\"] \n  24 -> 25 [size =\"25426944\"]\n  25 [size=\"128034133\", alpha=\"0.16\", expect_size=\"38410240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18137600\", alpha=\"0.17\", expect_size=\"7255040\"] \n  1 -> 16 [size =\"7255040\"]\n  1 -> 17 [size =\"7255040\"]\n  1 -> 21 [size =\"7255040\"]\n  1 -> 22 [size =\"7255040\"]\n  2 [size=\"63091200\", alpha=\"0.16\", expect_size=\"25236480\"] \n  2 -> 12 [size =\"25236480\"]\n  2 -> 14 [size =\"25236480\"]\n  2 -> 15 [size =\"25236480\"]\n  2 -> 18 [size =\"25236480\"]\n  2 -> 21 [size =\"25236480\"]\n  3 [size=\"69657600\", alpha=\"0.07\", expect_size=\"27863040\"] \n  3 -> 17 [size =\"27863040\"]\n  3 -> 18 [size =\"27863040\"]\n  4 [size=\"29550080\", alpha=\"0.11\", expect_size=\"11820032\"] \n  4 -> 14 [size =\"11820032\"]\n  4 -> 15 [size =\"11820032\"]\n  4 -> 16 [size =\"11820032\"]\n  4 -> 19 [size =\"11820032\"]\n  5 [size=\"72949760\", alpha=\"0.12\", expect_size=\"29179904\"] \n  5 -> 13 [size =\"29179904\"]\n  5 -> 14 [size =\"29179904\"]\n  5 -> 15 [size =\"29179904\"]\n  5 -> 18 [size =\"29179904\"]\n  5 -> 22 [size =\"29179904\"]\n  6 [size=\"122575360\", alpha=\"0.01\", expect_size=\"49030144\"] \n  6 -> 13 [size =\"49030144\"]\n  6 -> 17 [size =\"49030144\"]\n  6 -> 18 [size =\"49030144\"]\n  6 -> 18 [size =\"49030144\"]\n  6 -> 19 [size =\"49030144\"]\n  7 [size=\"87201280\", alpha=\"0.12\", expect_size=\"34880512\"] \n  7 -> 12 [size =\"34880512\"]\n  7 -> 16 [size =\"34880512\"]\n  7 -> 21 [size =\"34880512\"]\n  7 -> 22 [size =\"34880512\"]\n  8 [size=\"86338560\", alpha=\"0.14\", expect_size=\"34535424\"] \n  8 -> 14 [size =\"34535424\"]\n  8 -> 17 [size =\"34535424\"]\n  8 -> 20 [size =\"34535424\"]\n  9 [size=\"56596480\", alpha=\"0.13\", expect_size=\"22638592\"] \n  9 -> 14 [size =\"22638592\"]\n  9 -> 17 [size =\"22638592\"]\n  9 -> 18 [size =\"22638592\"]\n  10 [size=\"129446400\", alpha=\"0.13\", expect_size=\"51778560\"] \n  10 -> 14 [size =\"51778560\"]\n  10 -> 16 [size =\"51778560\"]\n  10 -> 17 [size =\"51778560\"]\n  10 -> 18 [size =\"51778560\"]\n  10 -> 19 [size =\"51778560\"]\n  10 -> 20 [size =\"51778560\"]\n  11 [size=\"77934080\", alpha=\"0.16\", expect_size=\"31173632\"] \n  11 -> 14 [size =\"31173632\"]\n  11 -> 16 [size =\"31173632\"]\n  11 -> 17 [size =\"31173632\"]\n  11 -> 19 [size =\"31173632\"]\n  11 -> 19 [size =\"31173632\"]\n  11 -> 22 [size =\"31173632\"]\n  12 [size=\"58785280\", alpha=\"0.11\", expect_size=\"23514112\"] \n  12 -> 25 [size =\"23514112\"]\n  13 [size=\"34065920\", alpha=\"0.04\", expect_size=\"13626368\"] \n  13 -> 24 [size =\"13626368\"]\n  13 -> 25 [size =\"13626368\"]\n  14 [size=\"74557440\", alpha=\"0.16\", expect_size=\"29822976\"] \n  14 -> 23 [size =\"29822976\"]\n  14 -> 25 [size =\"29822976\"]\n  15 [size=\"19740160\", alpha=\"0.04\", expect_size=\"7896064\"] \n  15 -> 24 [size =\"7896064\"]\n  16 [size=\"92848640\", alpha=\"0.15\", expect_size=\"37139456\"] \n  16 -> 24 [size =\"37139456\"]\n  17 [size=\"97085440\", alpha=\"0.00\", expect_size=\"38834176\"] \n  18 [size=\"48112640\", alpha=\"0.19\", expect_size=\"19245056\"] \n  18 -> 25 [size =\"19245056\"]\n  19 [size=\"15480320\", alpha=\"0.14\", expect_size=\"6192128\"] \n  19 -> 24 [size =\"6192128\"]\n  20 [size=\"92958720\", alpha=\"0.08\", expect_size=\"37183488\"] \n  20 -> 25 [size =\"37183488\"]\n  21 [size=\"48762880\", alpha=\"0.03\", expect_size=\"19505152\"] \n  21 -> 24 [size =\"19505152\"]\n  21 -> 25 [size =\"19505152\"]\n  22 [size=\"24033280\", alpha=\"0.06\", expect_size=\"9613312\"] \n  22 -> 24 [size =\"9613312\"]\n  22 -> 25 [size =\"9613312\"]\n  23 [size=\"89876480\", alpha=\"0.19\", expect_size=\"35950592\"] \n  24 [size=\"115151360\", alpha=\"0.15\", expect_size=\"46060544\"] \n  25 [size=\"91960320\", alpha=\"0.01\", expect_size=\"36784128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151292587\", alpha=\"0.09\", expect_size=\"45387776\"] \n  1 -> 2 [size =\"45387776\"]\n  2 [size=\"103434240\", alpha=\"0.07\", expect_size=\"31030272\"] \n  2 -> 3 [size =\"31030272\"]\n  3 [size=\"104000853\", alpha=\"0.16\", expect_size=\"31200256\"] \n  3 -> 4 [size =\"31200256\"]\n  4 [size=\"104250027\", alpha=\"0.06\", expect_size=\"31275008\"] \n  4 -> 5 [size =\"31275008\"]\n  5 [size=\"105072640\", alpha=\"0.10\", expect_size=\"31521792\"] \n  5 -> 6 [size =\"31521792\"]\n  6 [size=\"141523627\", alpha=\"0.17\", expect_size=\"42457088\"] \n  6 -> 7 [size =\"42457088\"]\n  7 [size=\"116599467\", alpha=\"0.17\", expect_size=\"34979840\"] \n  7 -> 8 [size =\"34979840\"]\n  8 [size=\"19773440\", alpha=\"0.15\", expect_size=\"5932032\"] \n  8 -> 9 [size =\"5932032\"]\n  9 [size=\"20712107\", alpha=\"0.01\", expect_size=\"6213632\"] \n  9 -> 10 [size =\"6213632\"]\n  10 [size=\"105543680\", alpha=\"0.05\", expect_size=\"31663104\"] \n  10 -> 11 [size =\"31663104\"]\n  11 [size=\"154057387\", alpha=\"0.02\", expect_size=\"46217216\"] \n  11 -> 12 [size =\"46217216\"]\n  12 [size=\"68239360\", alpha=\"0.04\", expect_size=\"20471808\"] \n  12 -> 13 [size =\"20471808\"]\n  13 [size=\"120780800\", alpha=\"0.10\", expect_size=\"36234240\"] \n  13 -> 14 [size =\"36234240\"]\n  14 [size=\"90262187\", alpha=\"0.05\", expect_size=\"27078656\"] \n  14 -> 15 [size =\"27078656\"]\n  15 [size=\"138530133\", alpha=\"0.04\", expect_size=\"41559040\"] \n  15 -> 16 [size =\"41559040\"]\n  16 [size=\"62231893\", alpha=\"0.16\", expect_size=\"18669568\"] \n  16 -> 17 [size =\"18669568\"]\n  17 [size=\"37877760\", alpha=\"0.03\", expect_size=\"11363328\"] \n  17 -> 18 [size =\"11363328\"]\n  18 [size=\"172656640\", alpha=\"0.09\", expect_size=\"51796992\"] \n  18 -> 19 [size =\"51796992\"]\n  19 [size=\"136697173\", alpha=\"0.16\", expect_size=\"41009152\"] \n  19 -> 20 [size =\"41009152\"]\n  20 [size=\"140875093\", alpha=\"0.09\", expect_size=\"42262528\"] \n  20 -> 21 [size =\"42262528\"]\n  21 [size=\"19333120\", alpha=\"0.00\", expect_size=\"5799936\"] \n  21 -> 22 [size =\"5799936\"]\n  22 [size=\"32324267\", alpha=\"0.02\", expect_size=\"9697280\"] \n  22 -> 23 [size =\"9697280\"]\n  23 [size=\"61211307\", alpha=\"0.15\", expect_size=\"18363392\"] \n  23 -> 24 [size =\"18363392\"]\n  24 [size=\"138673493\", alpha=\"0.19\", expect_size=\"41602048\"] \n  24 -> 25 [size =\"41602048\"]\n  25 [size=\"23575893\", alpha=\"0.14\", expect_size=\"7072768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173725013\", alpha=\"0.06\", expect_size=\"52117504\"] \n  1 -> 3 [size =\"52117504\"]\n  1 -> 4 [size =\"52117504\"]\n  2 [size=\"86852267\", alpha=\"0.07\", expect_size=\"26055680\"] \n  2 -> 3 [size =\"26055680\"]\n  2 -> 4 [size =\"26055680\"]\n  3 [size=\"158655147\", alpha=\"0.15\", expect_size=\"47596544\"] \n  3 -> 5 [size =\"47596544\"]\n  3 -> 6 [size =\"47596544\"]\n  4 [size=\"165338453\", alpha=\"0.06\", expect_size=\"49601536\"] \n  4 -> 5 [size =\"49601536\"]\n  4 -> 6 [size =\"49601536\"]\n  5 [size=\"138823680\", alpha=\"0.15\", expect_size=\"41647104\"] \n  6 [size=\"52831573\", alpha=\"0.09\", expect_size=\"15849472\"] \n  6 -> 7 [size =\"15849472\"]\n  6 -> 8 [size =\"15849472\"]\n  7 [size=\"136710827\", alpha=\"0.02\", expect_size=\"41013248\"] \n  7 -> 9 [size =\"41013248\"]\n  7 -> 10 [size =\"41013248\"]\n  8 [size=\"110643200\", alpha=\"0.06\", expect_size=\"33192960\"] \n  8 -> 9 [size =\"33192960\"]\n  8 -> 10 [size =\"33192960\"]\n  9 [size=\"148671147\", alpha=\"0.04\", expect_size=\"44601344\"] \n  10 [size=\"101799253\", alpha=\"0.17\", expect_size=\"30539776\"] \n  10 -> 11 [size =\"30539776\"]\n  11 [size=\"77619200\", alpha=\"0.03\", expect_size=\"23285760\"] \n  11 -> 12 [size =\"23285760\"]\n  12 [size=\"123190613\", alpha=\"0.01\", expect_size=\"36957184\"] \n  12 -> 13 [size =\"36957184\"]\n  13 [size=\"24729600\", alpha=\"0.14\", expect_size=\"7418880\"] \n  13 -> 14 [size =\"7418880\"]\n  13 -> 15 [size =\"7418880\"]\n  14 [size=\"145083733\", alpha=\"0.10\", expect_size=\"43525120\"] \n  14 -> 17 [size =\"43525120\"]\n  15 [size=\"36505600\", alpha=\"0.07\", expect_size=\"10951680\"] \n  15 -> 16 [size =\"10951680\"]\n  15 -> 17 [size =\"10951680\"]\n  16 [size=\"151678293\", alpha=\"0.08\", expect_size=\"45503488\"] \n  16 -> 19 [size =\"45503488\"]\n  17 [size=\"65648640\", alpha=\"0.01\", expect_size=\"19694592\"] \n  17 -> 18 [size =\"19694592\"]\n  17 -> 19 [size =\"19694592\"]\n  18 [size=\"80646827\", alpha=\"0.03\", expect_size=\"24194048\"] \n  18 -> 20 [size =\"24194048\"]\n  18 -> 21 [size =\"24194048\"]\n  19 [size=\"131481600\", alpha=\"0.01\", expect_size=\"39444480\"] \n  19 -> 20 [size =\"39444480\"]\n  19 -> 21 [size =\"39444480\"]\n  20 [size=\"166867627\", alpha=\"0.12\", expect_size=\"50060288\"] \n  20 -> 23 [size =\"50060288\"]\n  21 [size=\"146397867\", alpha=\"0.03\", expect_size=\"43919360\"] \n  21 -> 22 [size =\"43919360\"]\n  21 -> 23 [size =\"43919360\"]\n  22 [size=\"173817173\", alpha=\"0.02\", expect_size=\"52145152\"] \n  22 -> 24 [size =\"52145152\"]\n  22 -> 25 [size =\"52145152\"]\n  23 [size=\"27163307\", alpha=\"0.00\", expect_size=\"8148992\"] \n  23 -> 24 [size =\"8148992\"]\n  24 [size=\"139827200\", alpha=\"0.17\", expect_size=\"41948160\"] \n  25 [size=\"58784427\", alpha=\"0.09\", expect_size=\"17635328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37316608\", alpha=\"0.05\", expect_size=\"18658304\"] \n  1 -> 2 [size =\"18658304\"]\n  2 [size=\"98838528\", alpha=\"0.06\", expect_size=\"49419264\"] \n  2 -> 3 [size =\"49419264\"]\n  3 [size=\"46065664\", alpha=\"0.20\", expect_size=\"23032832\"] \n  3 -> 4 [size =\"23032832\"]\n  4 [size=\"25888768\", alpha=\"0.18\", expect_size=\"12944384\"] \n  4 -> 5 [size =\"12944384\"]\n  5 [size=\"21555200\", alpha=\"0.06\", expect_size=\"10777600\"] \n  5 -> 6 [size =\"10777600\"]\n  6 [size=\"75894784\", alpha=\"0.16\", expect_size=\"37947392\"] \n  6 -> 7 [size =\"37947392\"]\n  7 [size=\"71440384\", alpha=\"0.05\", expect_size=\"35720192\"] \n  7 -> 8 [size =\"35720192\"]\n  8 [size=\"93114368\", alpha=\"0.15\", expect_size=\"46557184\"] \n  8 -> 9 [size =\"46557184\"]\n  9 [size=\"25776128\", alpha=\"0.16\", expect_size=\"12888064\"] \n  9 -> 10 [size =\"12888064\"]\n  10 [size=\"97953792\", alpha=\"0.20\", expect_size=\"48976896\"] \n  10 -> 11 [size =\"48976896\"]\n  11 [size=\"25882624\", alpha=\"0.14\", expect_size=\"12941312\"] \n  11 -> 12 [size =\"12941312\"]\n  12 [size=\"49182720\", alpha=\"0.01\", expect_size=\"24591360\"] \n  12 -> 13 [size =\"24591360\"]\n  13 [size=\"78405632\", alpha=\"0.16\", expect_size=\"39202816\"] \n  13 -> 14 [size =\"39202816\"]\n  14 [size=\"77760512\", alpha=\"0.04\", expect_size=\"38880256\"] \n  14 -> 15 [size =\"38880256\"]\n  15 [size=\"66304000\", alpha=\"0.10\", expect_size=\"33152000\"] \n  15 -> 16 [size =\"33152000\"]\n  16 [size=\"95557632\", alpha=\"0.20\", expect_size=\"47778816\"] \n  16 -> 17 [size =\"47778816\"]\n  17 [size=\"75706368\", alpha=\"0.09\", expect_size=\"37853184\"] \n  17 -> 18 [size =\"37853184\"]\n  18 [size=\"101197824\", alpha=\"0.11\", expect_size=\"50598912\"] \n  18 -> 19 [size =\"50598912\"]\n  19 [size=\"77096960\", alpha=\"0.18\", expect_size=\"38548480\"] \n  19 -> 20 [size =\"38548480\"]\n  20 [size=\"57577472\", alpha=\"0.18\", expect_size=\"28788736\"] \n  20 -> 21 [size =\"28788736\"]\n  21 [size=\"56020992\", alpha=\"0.04\", expect_size=\"28010496\"] \n  21 -> 22 [size =\"28010496\"]\n  22 [size=\"26265600\", alpha=\"0.09\", expect_size=\"13132800\"] \n  22 -> 23 [size =\"13132800\"]\n  23 [size=\"30994432\", alpha=\"0.01\", expect_size=\"15497216\"] \n  23 -> 24 [size =\"15497216\"]\n  24 [size=\"104443904\", alpha=\"0.16\", expect_size=\"52221952\"] \n  24 -> 25 [size =\"52221952\"]\n  25 [size=\"30183424\", alpha=\"0.14\", expect_size=\"15091712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84193280\", alpha=\"0.15\", expect_size=\"25257984\"] \n  1 -> 3 [size =\"25257984\"]\n  1 -> 4 [size =\"25257984\"]\n  1 -> 5 [size =\"25257984\"]\n  1 -> 6 [size =\"25257984\"]\n  2 [size=\"55640747\", alpha=\"0.05\", expect_size=\"16692224\"] \n  2 -> 5 [size =\"16692224\"]\n  3 [size=\"105035093\", alpha=\"0.13\", expect_size=\"31510528\"] \n  3 -> 7 [size =\"31510528\"]\n  4 [size=\"99300693\", alpha=\"0.13\", expect_size=\"29790208\"] \n  4 -> 7 [size =\"29790208\"]\n  4 -> 8 [size =\"29790208\"]\n  5 [size=\"100259840\", alpha=\"0.07\", expect_size=\"30077952\"] \n  5 -> 8 [size =\"30077952\"]\n  5 -> 9 [size =\"30077952\"]\n  6 [size=\"30457173\", alpha=\"0.04\", expect_size=\"9137152\"] \n  6 -> 9 [size =\"9137152\"]\n  7 [size=\"54340267\", alpha=\"0.13\", expect_size=\"16302080\"] \n  7 -> 10 [size =\"16302080\"]\n  7 -> 11 [size =\"16302080\"]\n  7 -> 14 [size =\"16302080\"]\n  8 [size=\"113657173\", alpha=\"0.11\", expect_size=\"34097152\"] \n  8 -> 10 [size =\"34097152\"]\n  9 [size=\"138233173\", alpha=\"0.17\", expect_size=\"41469952\"] \n  9 -> 12 [size =\"41469952\"]\n  9 -> 13 [size =\"41469952\"]\n  9 -> 14 [size =\"41469952\"]\n  10 [size=\"126457173\", alpha=\"0.13\", expect_size=\"37937152\"] \n  10 -> 16 [size =\"37937152\"]\n  11 [size=\"75322027\", alpha=\"0.14\", expect_size=\"22596608\"] \n  11 -> 16 [size =\"22596608\"]\n  12 [size=\"35061760\", alpha=\"0.00\", expect_size=\"10518528\"] \n  12 -> 15 [size =\"10518528\"]\n  13 [size=\"75100160\", alpha=\"0.20\", expect_size=\"22530048\"] \n  14 [size=\"19797333\", alpha=\"0.20\", expect_size=\"5939200\"] \n  14 -> 15 [size =\"5939200\"]\n  15 [size=\"125634560\", alpha=\"0.13\", expect_size=\"37690368\"] \n  15 -> 17 [size =\"37690368\"]\n  15 -> 18 [size =\"37690368\"]\n  15 -> 19 [size =\"37690368\"]\n  15 -> 21 [size =\"37690368\"]\n  16 [size=\"27163307\", alpha=\"0.02\", expect_size=\"8148992\"] \n  16 -> 18 [size =\"8148992\"]\n  16 -> 19 [size =\"8148992\"]\n  16 -> 20 [size =\"8148992\"]\n  17 [size=\"58139307\", alpha=\"0.05\", expect_size=\"17441792\"] \n  18 [size=\"158839467\", alpha=\"0.04\", expect_size=\"47651840\"] \n  18 -> 23 [size =\"47651840\"]\n  19 [size=\"87289173\", alpha=\"0.18\", expect_size=\"26186752\"] \n  19 -> 22 [size =\"26186752\"]\n  19 -> 23 [size =\"26186752\"]\n  19 -> 25 [size =\"26186752\"]\n  20 [size=\"61337600\", alpha=\"0.13\", expect_size=\"18401280\"] \n  20 -> 22 [size =\"18401280\"]\n  20 -> 24 [size =\"18401280\"]\n  20 -> 25 [size =\"18401280\"]\n  21 [size=\"165666133\", alpha=\"0.16\", expect_size=\"49699840\"] \n  22 [size=\"119572480\", alpha=\"0.05\", expect_size=\"35871744\"] \n  23 [size=\"121408853\", alpha=\"0.04\", expect_size=\"36422656\"] \n  24 [size=\"117719040\", alpha=\"0.14\", expect_size=\"35315712\"] \n  25 [size=\"114657280\", alpha=\"0.15\", expect_size=\"34397184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20551680\", alpha=\"0.15\", expect_size=\"8220672\"] \n  1 -> 16 [size =\"8220672\"]\n  1 -> 17 [size =\"8220672\"]\n  1 -> 20 [size =\"8220672\"]\n  1 -> 20 [size =\"8220672\"]\n  1 -> 21 [size =\"8220672\"]\n  1 -> 22 [size =\"8220672\"]\n  2 [size=\"59594240\", alpha=\"0.03\", expect_size=\"23837696\"] \n  2 -> 16 [size =\"23837696\"]\n  2 -> 17 [size =\"23837696\"]\n  2 -> 18 [size =\"23837696\"]\n  2 -> 23 [size =\"23837696\"]\n  3 [size=\"61450240\", alpha=\"0.03\", expect_size=\"24580096\"] \n  3 -> 17 [size =\"24580096\"]\n  3 -> 20 [size =\"24580096\"]\n  3 -> 22 [size =\"24580096\"]\n  4 [size=\"78312960\", alpha=\"0.19\", expect_size=\"31325184\"] \n  4 -> 16 [size =\"31325184\"]\n  4 -> 18 [size =\"31325184\"]\n  4 -> 19 [size =\"31325184\"]\n  5 [size=\"20449280\", alpha=\"0.01\", expect_size=\"8179712\"] \n  5 -> 17 [size =\"8179712\"]\n  5 -> 18 [size =\"8179712\"]\n  5 -> 19 [size =\"8179712\"]\n  5 -> 20 [size =\"8179712\"]\n  6 [size=\"19335680\", alpha=\"0.07\", expect_size=\"7734272\"] \n  6 -> 17 [size =\"7734272\"]\n  6 -> 19 [size =\"7734272\"]\n  6 -> 21 [size =\"7734272\"]\n  7 [size=\"128069120\", alpha=\"0.13\", expect_size=\"51227648\"] \n  7 -> 21 [size =\"51227648\"]\n  7 -> 22 [size =\"51227648\"]\n  7 -> 24 [size =\"51227648\"]\n  8 [size=\"89402880\", alpha=\"0.11\", expect_size=\"35761152\"] \n  8 -> 16 [size =\"35761152\"]\n  8 -> 22 [size =\"35761152\"]\n  8 -> 23 [size =\"35761152\"]\n  9 [size=\"74462720\", alpha=\"0.02\", expect_size=\"29785088\"] \n  9 -> 20 [size =\"29785088\"]\n  9 -> 21 [size =\"29785088\"]\n  9 -> 22 [size =\"29785088\"]\n  10 [size=\"44249600\", alpha=\"0.03\", expect_size=\"17699840\"] \n  10 -> 17 [size =\"17699840\"]\n  10 -> 18 [size =\"17699840\"]\n  10 -> 19 [size =\"17699840\"]\n  10 -> 20 [size =\"17699840\"]\n  10 -> 21 [size =\"17699840\"]\n  10 -> 23 [size =\"17699840\"]\n  11 [size=\"90593280\", alpha=\"0.01\", expect_size=\"36237312\"] \n  11 -> 16 [size =\"36237312\"]\n  11 -> 18 [size =\"36237312\"]\n  11 -> 22 [size =\"36237312\"]\n  12 [size=\"63147520\", alpha=\"0.12\", expect_size=\"25259008\"] \n  12 -> 17 [size =\"25259008\"]\n  12 -> 18 [size =\"25259008\"]\n  12 -> 19 [size =\"25259008\"]\n  12 -> 21 [size =\"25259008\"]\n  12 -> 22 [size =\"25259008\"]\n  13 [size=\"81052160\", alpha=\"0.17\", expect_size=\"32420864\"] \n  13 -> 16 [size =\"32420864\"]\n  13 -> 17 [size =\"32420864\"]\n  13 -> 18 [size =\"32420864\"]\n  13 -> 22 [size =\"32420864\"]\n  14 [size=\"95846400\", alpha=\"0.10\", expect_size=\"38338560\"] \n  14 -> 16 [size =\"38338560\"]\n  14 -> 21 [size =\"38338560\"]\n  14 -> 22 [size =\"38338560\"]\n  14 -> 24 [size =\"38338560\"]\n  15 [size=\"89320960\", alpha=\"0.08\", expect_size=\"35728384\"] \n  15 -> 16 [size =\"35728384\"]\n  15 -> 17 [size =\"35728384\"]\n  15 -> 19 [size =\"35728384\"]\n  15 -> 20 [size =\"35728384\"]\n  15 -> 21 [size =\"35728384\"]\n  15 -> 23 [size =\"35728384\"]\n  15 -> 24 [size =\"35728384\"]\n  16 [size=\"92730880\", alpha=\"0.05\", expect_size=\"37092352\"] \n  17 [size=\"14246400\", alpha=\"0.04\", expect_size=\"5698560\"] \n  18 [size=\"93352960\", alpha=\"0.08\", expect_size=\"37341184\"] \n  19 [size=\"38489600\", alpha=\"0.04\", expect_size=\"15395840\"] \n  20 [size=\"51914240\", alpha=\"0.07\", expect_size=\"20765696\"] \n  20 -> 25 [size =\"20765696\"]\n  21 [size=\"66885120\", alpha=\"0.12\", expect_size=\"26754048\"] \n  22 [size=\"74785280\", alpha=\"0.04\", expect_size=\"29914112\"] \n  23 [size=\"25326080\", alpha=\"0.05\", expect_size=\"10130432\"] \n  24 [size=\"124613120\", alpha=\"0.16\", expect_size=\"49845248\"] \n  25 [size=\"65745920\", alpha=\"0.09\", expect_size=\"26298368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20750336\", alpha=\"0.02\", expect_size=\"10375168\"] \n  1 -> 6 [size =\"10375168\"]\n  1 -> 7 [size =\"10375168\"]\n  2 [size=\"37472256\", alpha=\"0.07\", expect_size=\"18736128\"] \n  2 -> 5 [size =\"18736128\"]\n  3 [size=\"83189760\", alpha=\"0.20\", expect_size=\"41594880\"] \n  3 -> 5 [size =\"41594880\"]\n  3 -> 7 [size =\"41594880\"]\n  4 [size=\"81707008\", alpha=\"0.19\", expect_size=\"40853504\"] \n  4 -> 5 [size =\"40853504\"]\n  5 [size=\"27795456\", alpha=\"0.12\", expect_size=\"13897728\"] \n  6 [size=\"48752640\", alpha=\"0.03\", expect_size=\"24376320\"] \n  6 -> 8 [size =\"24376320\"]\n  6 -> 9 [size =\"24376320\"]\n  6 -> 11 [size =\"24376320\"]\n  7 [size=\"73299968\", alpha=\"0.09\", expect_size=\"36649984\"] \n  7 -> 10 [size =\"36649984\"]\n  8 [size=\"104693760\", alpha=\"0.10\", expect_size=\"52346880\"] \n  9 [size=\"66258944\", alpha=\"0.01\", expect_size=\"33129472\"] \n  9 -> 12 [size =\"33129472\"]\n  10 [size=\"38795264\", alpha=\"0.05\", expect_size=\"19397632\"] \n  10 -> 12 [size =\"19397632\"]\n  10 -> 13 [size =\"19397632\"]\n  10 -> 14 [size =\"19397632\"]\n  10 -> 15 [size =\"19397632\"]\n  11 [size=\"97583104\", alpha=\"0.10\", expect_size=\"48791552\"] \n  11 -> 13 [size =\"48791552\"]\n  11 -> 14 [size =\"48791552\"]\n  11 -> 15 [size =\"48791552\"]\n  12 [size=\"11450368\", alpha=\"0.19\", expect_size=\"5725184\"] \n  12 -> 16 [size =\"5725184\"]\n  12 -> 18 [size =\"5725184\"]\n  13 [size=\"45903872\", alpha=\"0.08\", expect_size=\"22951936\"] \n  14 [size=\"45250560\", alpha=\"0.19\", expect_size=\"22625280\"] \n  15 [size=\"40816640\", alpha=\"0.19\", expect_size=\"20408320\"] \n  15 -> 17 [size =\"20408320\"]\n  16 [size=\"97378304\", alpha=\"0.08\", expect_size=\"48689152\"] \n  16 -> 19 [size =\"48689152\"]\n  16 -> 21 [size =\"48689152\"]\n  17 [size=\"14825472\", alpha=\"0.17\", expect_size=\"7412736\"] \n  17 -> 20 [size =\"7412736\"]\n  17 -> 21 [size =\"7412736\"]\n  18 [size=\"55760896\", alpha=\"0.02\", expect_size=\"27880448\"] \n  18 -> 19 [size =\"27880448\"]\n  19 [size=\"10706944\", alpha=\"0.14\", expect_size=\"5353472\"] \n  19 -> 22 [size =\"5353472\"]\n  19 -> 23 [size =\"5353472\"]\n  19 -> 24 [size =\"5353472\"]\n  19 -> 25 [size =\"5353472\"]\n  20 [size=\"13082624\", alpha=\"0.13\", expect_size=\"6541312\"] \n  20 -> 24 [size =\"6541312\"]\n  20 -> 25 [size =\"6541312\"]\n  21 [size=\"35663872\", alpha=\"0.13\", expect_size=\"17831936\"] \n  22 [size=\"83599360\", alpha=\"0.19\", expect_size=\"41799680\"] \n  23 [size=\"80201728\", alpha=\"0.01\", expect_size=\"40100864\"] \n  24 [size=\"23564288\", alpha=\"0.17\", expect_size=\"11782144\"] \n  25 [size=\"20412416\", alpha=\"0.18\", expect_size=\"10206208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30197760\", alpha=\"0.06\", expect_size=\"9059328\"] \n  1 -> 2 [size =\"9059328\"]\n  2 [size=\"38191787\", alpha=\"0.14\", expect_size=\"11457536\"] \n  2 -> 3 [size =\"11457536\"]\n  3 [size=\"163945813\", alpha=\"0.06\", expect_size=\"49183744\"] \n  3 -> 4 [size =\"49183744\"]\n  4 [size=\"59719680\", alpha=\"0.19\", expect_size=\"17915904\"] \n  4 -> 5 [size =\"17915904\"]\n  5 [size=\"33116160\", alpha=\"0.16\", expect_size=\"9934848\"] \n  5 -> 6 [size =\"9934848\"]\n  6 [size=\"70830080\", alpha=\"0.01\", expect_size=\"21249024\"] \n  6 -> 7 [size =\"21249024\"]\n  7 [size=\"94050987\", alpha=\"0.19\", expect_size=\"28215296\"] \n  7 -> 8 [size =\"28215296\"]\n  8 [size=\"76496213\", alpha=\"0.10\", expect_size=\"22948864\"] \n  8 -> 9 [size =\"22948864\"]\n  9 [size=\"46762667\", alpha=\"0.03\", expect_size=\"14028800\"] \n  9 -> 10 [size =\"14028800\"]\n  10 [size=\"152756907\", alpha=\"0.15\", expect_size=\"45827072\"] \n  10 -> 11 [size =\"45827072\"]\n  11 [size=\"159675733\", alpha=\"0.12\", expect_size=\"47902720\"] \n  11 -> 12 [size =\"47902720\"]\n  12 [size=\"45885440\", alpha=\"0.09\", expect_size=\"13765632\"] \n  12 -> 13 [size =\"13765632\"]\n  13 [size=\"155514880\", alpha=\"0.18\", expect_size=\"46654464\"] \n  13 -> 14 [size =\"46654464\"]\n  14 [size=\"44417707\", alpha=\"0.12\", expect_size=\"13325312\"] \n  14 -> 15 [size =\"13325312\"]\n  15 [size=\"34348373\", alpha=\"0.08\", expect_size=\"10304512\"] \n  15 -> 16 [size =\"10304512\"]\n  16 [size=\"160112640\", alpha=\"0.11\", expect_size=\"48033792\"] \n  16 -> 17 [size =\"48033792\"]\n  17 [size=\"169598293\", alpha=\"0.00\", expect_size=\"50879488\"] \n  17 -> 18 [size =\"50879488\"]\n  18 [size=\"162764800\", alpha=\"0.02\", expect_size=\"48829440\"] \n  18 -> 19 [size =\"48829440\"]\n  19 [size=\"87988907\", alpha=\"0.13\", expect_size=\"26396672\"] \n  19 -> 20 [size =\"26396672\"]\n  20 [size=\"107967147\", alpha=\"0.09\", expect_size=\"32390144\"] \n  20 -> 21 [size =\"32390144\"]\n  21 [size=\"69591040\", alpha=\"0.07\", expect_size=\"20877312\"] \n  21 -> 22 [size =\"20877312\"]\n  22 [size=\"163747840\", alpha=\"0.08\", expect_size=\"49124352\"] \n  22 -> 23 [size =\"49124352\"]\n  23 [size=\"74123947\", alpha=\"0.08\", expect_size=\"22237184\"] \n  23 -> 24 [size =\"22237184\"]\n  24 [size=\"61508267\", alpha=\"0.12\", expect_size=\"18452480\"] \n  24 -> 25 [size =\"18452480\"]\n  25 [size=\"152238080\", alpha=\"0.19\", expect_size=\"45671424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17927680\", alpha=\"0.01\", expect_size=\"7171072\"] \n  1 -> 8 [size =\"7171072\"]\n  1 -> 9 [size =\"7171072\"]\n  1 -> 11 [size =\"7171072\"]\n  1 -> 12 [size =\"7171072\"]\n  1 -> 14 [size =\"7171072\"]\n  1 -> 15 [size =\"7171072\"]\n  1 -> 17 [size =\"7171072\"]\n  2 [size=\"105128960\", alpha=\"0.08\", expect_size=\"42051584\"] \n  2 -> 6 [size =\"42051584\"]\n  2 -> 7 [size =\"42051584\"]\n  2 -> 8 [size =\"42051584\"]\n  2 -> 16 [size =\"42051584\"]\n  3 [size=\"109061120\", alpha=\"0.09\", expect_size=\"43624448\"] \n  3 -> 7 [size =\"43624448\"]\n  3 -> 8 [size =\"43624448\"]\n  3 -> 9 [size =\"43624448\"]\n  3 -> 10 [size =\"43624448\"]\n  3 -> 11 [size =\"43624448\"]\n  3 -> 16 [size =\"43624448\"]\n  3 -> 17 [size =\"43624448\"]\n  4 [size=\"126960640\", alpha=\"0.16\", expect_size=\"50784256\"] \n  4 -> 5 [size =\"50784256\"]\n  4 -> 7 [size =\"50784256\"]\n  4 -> 8 [size =\"50784256\"]\n  4 -> 9 [size =\"50784256\"]\n  4 -> 10 [size =\"50784256\"]\n  4 -> 12 [size =\"50784256\"]\n  4 -> 13 [size =\"50784256\"]\n  4 -> 16 [size =\"50784256\"]\n  4 -> 17 [size =\"50784256\"]\n  5 [size=\"127124480\", alpha=\"0.14\", expect_size=\"50849792\"] \n  5 -> 21 [size =\"50849792\"]\n  5 -> 22 [size =\"50849792\"]\n  5 -> 23 [size =\"50849792\"]\n  6 [size=\"50096640\", alpha=\"0.06\", expect_size=\"20038656\"] \n  6 -> 18 [size =\"20038656\"]\n  6 -> 21 [size =\"20038656\"]\n  6 -> 22 [size =\"20038656\"]\n  6 -> 23 [size =\"20038656\"]\n  7 [size=\"36277760\", alpha=\"0.00\", expect_size=\"14511104\"] \n  7 -> 21 [size =\"14511104\"]\n  7 -> 22 [size =\"14511104\"]\n  7 -> 23 [size =\"14511104\"]\n  7 -> 23 [size =\"14511104\"]\n  8 [size=\"20044800\", alpha=\"0.14\", expect_size=\"8017920\"] \n  8 -> 23 [size =\"8017920\"]\n  9 [size=\"53212160\", alpha=\"0.09\", expect_size=\"21284864\"] \n  9 -> 18 [size =\"21284864\"]\n  10 [size=\"55680000\", alpha=\"0.13\", expect_size=\"22272000\"] \n  10 -> 18 [size =\"22272000\"]\n  10 -> 19 [size =\"22272000\"]\n  10 -> 20 [size =\"22272000\"]\n  11 [size=\"112670720\", alpha=\"0.05\", expect_size=\"45068288\"] \n  11 -> 18 [size =\"45068288\"]\n  11 -> 21 [size =\"45068288\"]\n  11 -> 22 [size =\"45068288\"]\n  11 -> 23 [size =\"45068288\"]\n  12 [size=\"119692800\", alpha=\"0.15\", expect_size=\"47877120\"] \n  12 -> 18 [size =\"47877120\"]\n  12 -> 21 [size =\"47877120\"]\n  12 -> 22 [size =\"47877120\"]\n  12 -> 23 [size =\"47877120\"]\n  13 [size=\"50933760\", alpha=\"0.17\", expect_size=\"20373504\"] \n  13 -> 18 [size =\"20373504\"]\n  13 -> 22 [size =\"20373504\"]\n  13 -> 23 [size =\"20373504\"]\n  14 [size=\"105172480\", alpha=\"0.14\", expect_size=\"42068992\"] \n  14 -> 18 [size =\"42068992\"]\n  14 -> 21 [size =\"42068992\"]\n  14 -> 22 [size =\"42068992\"]\n  14 -> 23 [size =\"42068992\"]\n  15 [size=\"83832320\", alpha=\"0.07\", expect_size=\"33532928\"] \n  15 -> 18 [size =\"33532928\"]\n  15 -> 21 [size =\"33532928\"]\n  15 -> 22 [size =\"33532928\"]\n  15 -> 23 [size =\"33532928\"]\n  16 [size=\"49758720\", alpha=\"0.12\", expect_size=\"19903488\"] \n  16 -> 18 [size =\"19903488\"]\n  16 -> 19 [size =\"19903488\"]\n  16 -> 21 [size =\"19903488\"]\n  16 -> 22 [size =\"19903488\"]\n  16 -> 23 [size =\"19903488\"]\n  17 [size=\"85007360\", alpha=\"0.10\", expect_size=\"34002944\"] \n  17 -> 21 [size =\"34002944\"]\n  17 -> 22 [size =\"34002944\"]\n  17 -> 23 [size =\"34002944\"]\n  18 [size=\"87705600\", alpha=\"0.05\", expect_size=\"35082240\"] \n  18 -> 24 [size =\"35082240\"]\n  19 [size=\"51251200\", alpha=\"0.15\", expect_size=\"20500480\"] \n  20 [size=\"105154560\", alpha=\"0.04\", expect_size=\"42061824\"] \n  21 [size=\"65523200\", alpha=\"0.15\", expect_size=\"26209280\"] \n  21 -> 25 [size =\"26209280\"]\n  22 [size=\"95500800\", alpha=\"0.00\", expect_size=\"38200320\"] \n  22 -> 24 [size =\"38200320\"]\n  23 [size=\"64358400\", alpha=\"0.03\", expect_size=\"25743360\"] \n  24 [size=\"44195840\", alpha=\"0.04\", expect_size=\"17678336\"] \n  25 [size=\"128980480\", alpha=\"0.05\", expect_size=\"51592192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11950080\", alpha=\"0.01\", expect_size=\"5975040\"] \n  1 -> 2 [size =\"5975040\"]\n  2 [size=\"12558336\", alpha=\"0.04\", expect_size=\"6279168\"] \n  2 -> 3 [size =\"6279168\"]\n  3 [size=\"34844672\", alpha=\"0.20\", expect_size=\"17422336\"] \n  3 -> 4 [size =\"17422336\"]\n  4 [size=\"46299136\", alpha=\"0.10\", expect_size=\"23149568\"] \n  4 -> 5 [size =\"23149568\"]\n  5 [size=\"25458688\", alpha=\"0.12\", expect_size=\"12729344\"] \n  5 -> 6 [size =\"12729344\"]\n  6 [size=\"33339392\", alpha=\"0.01\", expect_size=\"16669696\"] \n  6 -> 7 [size =\"16669696\"]\n  7 [size=\"57769984\", alpha=\"0.08\", expect_size=\"28884992\"] \n  7 -> 8 [size =\"28884992\"]\n  8 [size=\"79867904\", alpha=\"0.01\", expect_size=\"39933952\"] \n  8 -> 9 [size =\"39933952\"]\n  9 [size=\"41435136\", alpha=\"0.19\", expect_size=\"20717568\"] \n  9 -> 10 [size =\"20717568\"]\n  10 [size=\"32159744\", alpha=\"0.12\", expect_size=\"16079872\"] \n  10 -> 11 [size =\"16079872\"]\n  11 [size=\"29872128\", alpha=\"0.16\", expect_size=\"14936064\"] \n  11 -> 12 [size =\"14936064\"]\n  12 [size=\"36939776\", alpha=\"0.18\", expect_size=\"18469888\"] \n  12 -> 13 [size =\"18469888\"]\n  13 [size=\"54030336\", alpha=\"0.07\", expect_size=\"27015168\"] \n  13 -> 14 [size =\"27015168\"]\n  14 [size=\"53340160\", alpha=\"0.13\", expect_size=\"26670080\"] \n  14 -> 15 [size =\"26670080\"]\n  15 [size=\"102760448\", alpha=\"0.07\", expect_size=\"51380224\"] \n  15 -> 16 [size =\"51380224\"]\n  16 [size=\"66512896\", alpha=\"0.08\", expect_size=\"33256448\"] \n  16 -> 17 [size =\"33256448\"]\n  17 [size=\"69568512\", alpha=\"0.00\", expect_size=\"34784256\"] \n  17 -> 18 [size =\"34784256\"]\n  18 [size=\"13424640\", alpha=\"0.09\", expect_size=\"6712320\"] \n  18 -> 19 [size =\"6712320\"]\n  19 [size=\"17422336\", alpha=\"0.01\", expect_size=\"8711168\"] \n  19 -> 20 [size =\"8711168\"]\n  20 [size=\"12619776\", alpha=\"0.14\", expect_size=\"6309888\"] \n  20 -> 21 [size =\"6309888\"]\n  21 [size=\"67405824\", alpha=\"0.08\", expect_size=\"33702912\"] \n  21 -> 22 [size =\"33702912\"]\n  22 [size=\"47007744\", alpha=\"0.03\", expect_size=\"23503872\"] \n  22 -> 23 [size =\"23503872\"]\n  23 [size=\"37269504\", alpha=\"0.02\", expect_size=\"18634752\"] \n  23 -> 24 [size =\"18634752\"]\n  24 [size=\"67956736\", alpha=\"0.09\", expect_size=\"33978368\"] \n  24 -> 25 [size =\"33978368\"]\n  25 [size=\"36161536\", alpha=\"0.19\", expect_size=\"18080768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85153280\", alpha=\"0.15\", expect_size=\"34061312\"] \n  1 -> 3 [size =\"34061312\"]\n  1 -> 4 [size =\"34061312\"]\n  2 [size=\"59980800\", alpha=\"0.16\", expect_size=\"23992320\"] \n  2 -> 3 [size =\"23992320\"]\n  3 [size=\"77675520\", alpha=\"0.09\", expect_size=\"31070208\"] \n  3 -> 5 [size =\"31070208\"]\n  4 [size=\"87690240\", alpha=\"0.03\", expect_size=\"35076096\"] \n  4 -> 5 [size =\"35076096\"]\n  5 [size=\"36689920\", alpha=\"0.11\", expect_size=\"14675968\"] \n  5 -> 6 [size =\"14675968\"]\n  6 [size=\"99944960\", alpha=\"0.19\", expect_size=\"39977984\"] \n  6 -> 7 [size =\"39977984\"]\n  7 [size=\"107235840\", alpha=\"0.17\", expect_size=\"42894336\"] \n  7 -> 8 [size =\"42894336\"]\n  7 -> 9 [size =\"42894336\"]\n  8 [size=\"56296960\", alpha=\"0.13\", expect_size=\"22518784\"] \n  8 -> 11 [size =\"22518784\"]\n  9 [size=\"42068480\", alpha=\"0.05\", expect_size=\"16827392\"] \n  9 -> 10 [size =\"16827392\"]\n  10 [size=\"109117440\", alpha=\"0.01\", expect_size=\"43646976\"] \n  11 [size=\"88773120\", alpha=\"0.11\", expect_size=\"35509248\"] \n  11 -> 12 [size =\"35509248\"]\n  12 [size=\"59658240\", alpha=\"0.01\", expect_size=\"23863296\"] \n  12 -> 13 [size =\"23863296\"]\n  12 -> 14 [size =\"23863296\"]\n  13 [size=\"33297920\", alpha=\"0.05\", expect_size=\"13319168\"] \n  13 -> 15 [size =\"13319168\"]\n  13 -> 16 [size =\"13319168\"]\n  14 [size=\"83645440\", alpha=\"0.05\", expect_size=\"33458176\"] \n  15 [size=\"103920640\", alpha=\"0.12\", expect_size=\"41568256\"] \n  16 [size=\"53698560\", alpha=\"0.15\", expect_size=\"21479424\"] \n  16 -> 17 [size =\"21479424\"]\n  17 [size=\"49438720\", alpha=\"0.01\", expect_size=\"19775488\"] \n  17 -> 18 [size =\"19775488\"]\n  17 -> 19 [size =\"19775488\"]\n  18 [size=\"34590720\", alpha=\"0.16\", expect_size=\"13836288\"] \n  18 -> 21 [size =\"13836288\"]\n  19 [size=\"110033920\", alpha=\"0.17\", expect_size=\"44013568\"] \n  19 -> 20 [size =\"44013568\"]\n  19 -> 21 [size =\"44013568\"]\n  20 [size=\"22737920\", alpha=\"0.05\", expect_size=\"9095168\"] \n  20 -> 22 [size =\"9095168\"]\n  21 [size=\"27356160\", alpha=\"0.05\", expect_size=\"10942464\"] \n  21 -> 22 [size =\"10942464\"]\n  22 [size=\"92974080\", alpha=\"0.12\", expect_size=\"37189632\"] \n  22 -> 23 [size =\"37189632\"]\n  22 -> 24 [size =\"37189632\"]\n  23 [size=\"100922880\", alpha=\"0.11\", expect_size=\"40369152\"] \n  24 [size=\"130004480\", alpha=\"0.02\", expect_size=\"52001792\"] \n  24 -> 25 [size =\"52001792\"]\n  25 [size=\"40232960\", alpha=\"0.18\", expect_size=\"16093184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91552427\", alpha=\"0.19\", expect_size=\"27465728\"] \n  1 -> 2 [size =\"27465728\"]\n  2 [size=\"49565013\", alpha=\"0.08\", expect_size=\"14869504\"] \n  2 -> 3 [size =\"14869504\"]\n  3 [size=\"42188800\", alpha=\"0.07\", expect_size=\"12656640\"] \n  3 -> 4 [size =\"12656640\"]\n  4 [size=\"83394560\", alpha=\"0.06\", expect_size=\"25018368\"] \n  4 -> 5 [size =\"25018368\"]\n  5 [size=\"83674453\", alpha=\"0.00\", expect_size=\"25102336\"] \n  5 -> 6 [size =\"25102336\"]\n  6 [size=\"44919467\", alpha=\"0.05\", expect_size=\"13475840\"] \n  6 -> 7 [size =\"13475840\"]\n  7 [size=\"54746453\", alpha=\"0.02\", expect_size=\"16423936\"] \n  7 -> 8 [size =\"16423936\"]\n  8 [size=\"79069867\", alpha=\"0.05\", expect_size=\"23720960\"] \n  8 -> 9 [size =\"23720960\"]\n  9 [size=\"154675200\", alpha=\"0.06\", expect_size=\"46402560\"] \n  9 -> 10 [size =\"46402560\"]\n  10 [size=\"77916160\", alpha=\"0.04\", expect_size=\"23374848\"] \n  10 -> 11 [size =\"23374848\"]\n  11 [size=\"146636800\", alpha=\"0.16\", expect_size=\"43991040\"] \n  11 -> 12 [size =\"43991040\"]\n  12 [size=\"141598720\", alpha=\"0.11\", expect_size=\"42479616\"] \n  12 -> 13 [size =\"42479616\"]\n  13 [size=\"49605973\", alpha=\"0.08\", expect_size=\"14881792\"] \n  13 -> 14 [size =\"14881792\"]\n  14 [size=\"101771947\", alpha=\"0.11\", expect_size=\"30531584\"] \n  14 -> 15 [size =\"30531584\"]\n  15 [size=\"149541547\", alpha=\"0.03\", expect_size=\"44862464\"] \n  15 -> 16 [size =\"44862464\"]\n  16 [size=\"150473387\", alpha=\"0.12\", expect_size=\"45142016\"] \n  16 -> 17 [size =\"45142016\"]\n  17 [size=\"31685973\", alpha=\"0.15\", expect_size=\"9505792\"] \n  17 -> 18 [size =\"9505792\"]\n  18 [size=\"47196160\", alpha=\"0.11\", expect_size=\"14158848\"] \n  18 -> 19 [size =\"14158848\"]\n  19 [size=\"88360960\", alpha=\"0.17\", expect_size=\"26508288\"] \n  19 -> 20 [size =\"26508288\"]\n  20 [size=\"137048747\", alpha=\"0.02\", expect_size=\"41114624\"] \n  20 -> 21 [size =\"41114624\"]\n  21 [size=\"165123413\", alpha=\"0.17\", expect_size=\"49537024\"] \n  21 -> 22 [size =\"49537024\"]\n  22 [size=\"132928853\", alpha=\"0.16\", expect_size=\"39878656\"] \n  22 -> 23 [size =\"39878656\"]\n  23 [size=\"58750293\", alpha=\"0.18\", expect_size=\"17625088\"] \n  23 -> 24 [size =\"17625088\"]\n  24 [size=\"121856000\", alpha=\"0.09\", expect_size=\"36556800\"] \n  24 -> 25 [size =\"36556800\"]\n  25 [size=\"51022507\", alpha=\"0.08\", expect_size=\"15306752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25845760\", alpha=\"0.07\", expect_size=\"7753728\"] \n  2 [size=\"61651627\", alpha=\"0.12\", expect_size=\"18495488\"] \n  2 -> 3 [size =\"18495488\"]\n  3 [size=\"160385707\", alpha=\"0.08\", expect_size=\"48115712\"] \n  3 -> 4 [size =\"48115712\"]\n  4 [size=\"84910080\", alpha=\"0.07\", expect_size=\"25473024\"] \n  4 -> 5 [size =\"25473024\"]\n  5 [size=\"78455467\", alpha=\"0.13\", expect_size=\"23536640\"] \n  5 -> 6 [size =\"23536640\"]\n  5 -> 7 [size =\"23536640\"]\n  6 [size=\"26422613\", alpha=\"0.13\", expect_size=\"7926784\"] \n  6 -> 9 [size =\"7926784\"]\n  7 [size=\"89548800\", alpha=\"0.12\", expect_size=\"26864640\"] \n  7 -> 8 [size =\"26864640\"]\n  8 [size=\"124593493\", alpha=\"0.18\", expect_size=\"37378048\"] \n  9 [size=\"112295253\", alpha=\"0.09\", expect_size=\"33688576\"] \n  9 -> 10 [size =\"33688576\"]\n  10 [size=\"90869760\", alpha=\"0.06\", expect_size=\"27260928\"] \n  10 -> 11 [size =\"27260928\"]\n  11 [size=\"102270293\", alpha=\"0.10\", expect_size=\"30681088\"] \n  11 -> 12 [size =\"30681088\"]\n  12 [size=\"159781547\", alpha=\"0.14\", expect_size=\"47934464\"] \n  12 -> 13 [size =\"47934464\"]\n  12 -> 14 [size =\"47934464\"]\n  13 [size=\"99840000\", alpha=\"0.16\", expect_size=\"29952000\"] \n  13 -> 15 [size =\"29952000\"]\n  13 -> 16 [size =\"29952000\"]\n  14 [size=\"161911467\", alpha=\"0.07\", expect_size=\"48573440\"] \n  15 [size=\"60856320\", alpha=\"0.04\", expect_size=\"18256896\"] \n  16 [size=\"162443947\", alpha=\"0.11\", expect_size=\"48733184\"] \n  16 -> 17 [size =\"48733184\"]\n  16 -> 18 [size =\"48733184\"]\n  17 [size=\"110209707\", alpha=\"0.10\", expect_size=\"33062912\"] \n  17 -> 19 [size =\"33062912\"]\n  18 [size=\"44445013\", alpha=\"0.11\", expect_size=\"13333504\"] \n  18 -> 20 [size =\"13333504\"]\n  19 [size=\"28026880\", alpha=\"0.08\", expect_size=\"8408064\"] \n  20 [size=\"100215467\", alpha=\"0.02\", expect_size=\"30064640\"] \n  20 -> 21 [size =\"30064640\"]\n  20 -> 22 [size =\"30064640\"]\n  21 [size=\"146937173\", alpha=\"0.16\", expect_size=\"44081152\"] \n  22 [size=\"66713600\", alpha=\"0.16\", expect_size=\"20014080\"] \n  22 -> 23 [size =\"20014080\"]\n  22 -> 24 [size =\"20014080\"]\n  23 [size=\"174322347\", alpha=\"0.14\", expect_size=\"52296704\"] \n  23 -> 25 [size =\"52296704\"]\n  24 [size=\"142455467\", alpha=\"0.01\", expect_size=\"42736640\"] \n  25 [size=\"38051840\", alpha=\"0.15\", expect_size=\"11415552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51369984\", alpha=\"0.08\", expect_size=\"25684992\"] \n  1 -> 5 [size =\"25684992\"]\n  1 -> 6 [size =\"25684992\"]\n  1 -> 7 [size =\"25684992\"]\n  2 [size=\"95141888\", alpha=\"0.08\", expect_size=\"47570944\"] \n  2 -> 5 [size =\"47570944\"]\n  2 -> 6 [size =\"47570944\"]\n  2 -> 7 [size =\"47570944\"]\n  3 [size=\"89075712\", alpha=\"0.09\", expect_size=\"44537856\"] \n  3 -> 4 [size =\"44537856\"]\n  3 -> 6 [size =\"44537856\"]\n  3 -> 7 [size =\"44537856\"]\n  4 [size=\"79828992\", alpha=\"0.02\", expect_size=\"39914496\"] \n  4 -> 8 [size =\"39914496\"]\n  4 -> 9 [size =\"39914496\"]\n  4 -> 10 [size =\"39914496\"]\n  5 [size=\"43929600\", alpha=\"0.17\", expect_size=\"21964800\"] \n  5 -> 8 [size =\"21964800\"]\n  5 -> 9 [size =\"21964800\"]\n  5 -> 10 [size =\"21964800\"]\n  6 [size=\"92909568\", alpha=\"0.08\", expect_size=\"46454784\"] \n  6 -> 8 [size =\"46454784\"]\n  6 -> 9 [size =\"46454784\"]\n  6 -> 10 [size =\"46454784\"]\n  7 [size=\"102893568\", alpha=\"0.12\", expect_size=\"51446784\"] \n  7 -> 8 [size =\"51446784\"]\n  7 -> 9 [size =\"51446784\"]\n  7 -> 10 [size =\"51446784\"]\n  8 [size=\"59140096\", alpha=\"0.20\", expect_size=\"29570048\"] \n  8 -> 11 [size =\"29570048\"]\n  8 -> 12 [size =\"29570048\"]\n  8 -> 13 [size =\"29570048\"]\n  8 -> 14 [size =\"29570048\"]\n  9 [size=\"39940096\", alpha=\"0.11\", expect_size=\"19970048\"] \n  9 -> 11 [size =\"19970048\"]\n  9 -> 14 [size =\"19970048\"]\n  10 [size=\"41535488\", alpha=\"0.20\", expect_size=\"20767744\"] \n  10 -> 11 [size =\"20767744\"]\n  10 -> 12 [size =\"20767744\"]\n  11 [size=\"55187456\", alpha=\"0.02\", expect_size=\"27593728\"] \n  11 -> 15 [size =\"27593728\"]\n  11 -> 16 [size =\"27593728\"]\n  12 [size=\"92397568\", alpha=\"0.15\", expect_size=\"46198784\"] \n  13 [size=\"34394112\", alpha=\"0.05\", expect_size=\"17197056\"] \n  13 -> 15 [size =\"17197056\"]\n  13 -> 16 [size =\"17197056\"]\n  14 [size=\"74651648\", alpha=\"0.11\", expect_size=\"37325824\"] \n  14 -> 15 [size =\"37325824\"]\n  14 -> 16 [size =\"37325824\"]\n  15 [size=\"85688320\", alpha=\"0.16\", expect_size=\"42844160\"] \n  15 -> 17 [size =\"42844160\"]\n  15 -> 18 [size =\"42844160\"]\n  15 -> 19 [size =\"42844160\"]\n  16 [size=\"69591040\", alpha=\"0.03\", expect_size=\"34795520\"] \n  16 -> 17 [size =\"34795520\"]\n  16 -> 18 [size =\"34795520\"]\n  17 [size=\"13531136\", alpha=\"0.19\", expect_size=\"6765568\"] \n  17 -> 20 [size =\"6765568\"]\n  17 -> 21 [size =\"6765568\"]\n  17 -> 22 [size =\"6765568\"]\n  18 [size=\"69736448\", alpha=\"0.17\", expect_size=\"34868224\"] \n  18 -> 20 [size =\"34868224\"]\n  18 -> 21 [size =\"34868224\"]\n  18 -> 22 [size =\"34868224\"]\n  19 [size=\"68476928\", alpha=\"0.18\", expect_size=\"34238464\"] \n  19 -> 20 [size =\"34238464\"]\n  19 -> 21 [size =\"34238464\"]\n  19 -> 22 [size =\"34238464\"]\n  20 [size=\"24545280\", alpha=\"0.06\", expect_size=\"12272640\"] \n  20 -> 25 [size =\"12272640\"]\n  21 [size=\"23320576\", alpha=\"0.03\", expect_size=\"11660288\"] \n  21 -> 23 [size =\"11660288\"]\n  21 -> 25 [size =\"11660288\"]\n  22 [size=\"31578112\", alpha=\"0.18\", expect_size=\"15789056\"] \n  22 -> 24 [size =\"15789056\"]\n  22 -> 25 [size =\"15789056\"]\n  23 [size=\"103798784\", alpha=\"0.09\", expect_size=\"51899392\"] \n  24 [size=\"34977792\", alpha=\"0.15\", expect_size=\"17488896\"] \n  25 [size=\"85891072\", alpha=\"0.09\", expect_size=\"42945536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72611840\", alpha=\"0.13\", expect_size=\"21783552\"] \n  1 -> 2 [size =\"21783552\"]\n  2 [size=\"58910720\", alpha=\"0.12\", expect_size=\"17673216\"] \n  2 -> 3 [size =\"17673216\"]\n  3 [size=\"75236693\", alpha=\"0.17\", expect_size=\"22571008\"] \n  3 -> 4 [size =\"22571008\"]\n  4 [size=\"104038400\", alpha=\"0.03\", expect_size=\"31211520\"] \n  4 -> 5 [size =\"31211520\"]\n  5 [size=\"130532693\", alpha=\"0.04\", expect_size=\"39159808\"] \n  5 -> 6 [size =\"39159808\"]\n  6 [size=\"93156693\", alpha=\"0.18\", expect_size=\"27947008\"] \n  6 -> 7 [size =\"27947008\"]\n  7 [size=\"167277227\", alpha=\"0.04\", expect_size=\"50183168\"] \n  7 -> 8 [size =\"50183168\"]\n  8 [size=\"153698987\", alpha=\"0.09\", expect_size=\"46109696\"] \n  8 -> 9 [size =\"46109696\"]\n  9 [size=\"18715307\", alpha=\"0.09\", expect_size=\"5614592\"] \n  9 -> 10 [size =\"5614592\"]\n  10 [size=\"72164693\", alpha=\"0.11\", expect_size=\"21649408\"] \n  10 -> 11 [size =\"21649408\"]\n  11 [size=\"43496107\", alpha=\"0.18\", expect_size=\"13048832\"] \n  11 -> 12 [size =\"13048832\"]\n  12 [size=\"144957440\", alpha=\"0.11\", expect_size=\"43487232\"] \n  12 -> 13 [size =\"43487232\"]\n  13 [size=\"84623360\", alpha=\"0.16\", expect_size=\"25387008\"] \n  13 -> 14 [size =\"25387008\"]\n  14 [size=\"61016747\", alpha=\"0.18\", expect_size=\"18305024\"] \n  14 -> 15 [size =\"18305024\"]\n  15 [size=\"84333227\", alpha=\"0.05\", expect_size=\"25299968\"] \n  15 -> 16 [size =\"25299968\"]\n  16 [size=\"113455787\", alpha=\"0.11\", expect_size=\"34036736\"] \n  16 -> 17 [size =\"34036736\"]\n  17 [size=\"97344853\", alpha=\"0.05\", expect_size=\"29203456\"] \n  17 -> 18 [size =\"29203456\"]\n  18 [size=\"129396053\", alpha=\"0.16\", expect_size=\"38818816\"] \n  18 -> 19 [size =\"38818816\"]\n  19 [size=\"43810133\", alpha=\"0.15\", expect_size=\"13143040\"] \n  19 -> 20 [size =\"13143040\"]\n  20 [size=\"113326080\", alpha=\"0.09\", expect_size=\"33997824\"] \n  20 -> 21 [size =\"33997824\"]\n  21 [size=\"41390080\", alpha=\"0.09\", expect_size=\"12417024\"] \n  21 -> 22 [size =\"12417024\"]\n  22 [size=\"29443413\", alpha=\"0.15\", expect_size=\"8833024\"] \n  22 -> 23 [size =\"8833024\"]\n  23 [size=\"115520853\", alpha=\"0.09\", expect_size=\"34656256\"] \n  23 -> 24 [size =\"34656256\"]\n  24 [size=\"82490027\", alpha=\"0.13\", expect_size=\"24747008\"] \n  24 -> 25 [size =\"24747008\"]\n  25 [size=\"68949333\", alpha=\"0.11\", expect_size=\"20684800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88375296\", alpha=\"0.15\", expect_size=\"44187648\"] \n  1 -> 9 [size =\"44187648\"]\n  1 -> 10 [size =\"44187648\"]\n  1 -> 12 [size =\"44187648\"]\n  1 -> 14 [size =\"44187648\"]\n  1 -> 17 [size =\"44187648\"]\n  2 [size=\"94746624\", alpha=\"0.13\", expect_size=\"47373312\"] \n  2 -> 9 [size =\"47373312\"]\n  2 -> 10 [size =\"47373312\"]\n  2 -> 11 [size =\"47373312\"]\n  2 -> 12 [size =\"47373312\"]\n  2 -> 13 [size =\"47373312\"]\n  2 -> 14 [size =\"47373312\"]\n  2 -> 16 [size =\"47373312\"]\n  3 [size=\"51488768\", alpha=\"0.01\", expect_size=\"25744384\"] \n  3 -> 9 [size =\"25744384\"]\n  3 -> 10 [size =\"25744384\"]\n  3 -> 11 [size =\"25744384\"]\n  3 -> 12 [size =\"25744384\"]\n  3 -> 14 [size =\"25744384\"]\n  4 [size=\"83830784\", alpha=\"0.06\", expect_size=\"41915392\"] \n  4 -> 9 [size =\"41915392\"]\n  4 -> 10 [size =\"41915392\"]\n  4 -> 12 [size =\"41915392\"]\n  4 -> 12 [size =\"41915392\"]\n  4 -> 14 [size =\"41915392\"]\n  4 -> 15 [size =\"41915392\"]\n  5 [size=\"42283008\", alpha=\"0.06\", expect_size=\"21141504\"] \n  5 -> 9 [size =\"21141504\"]\n  5 -> 11 [size =\"21141504\"]\n  5 -> 12 [size =\"21141504\"]\n  5 -> 14 [size =\"21141504\"]\n  5 -> 15 [size =\"21141504\"]\n  6 [size=\"60805120\", alpha=\"0.13\", expect_size=\"30402560\"] \n  6 -> 9 [size =\"30402560\"]\n  6 -> 11 [size =\"30402560\"]\n  6 -> 12 [size =\"30402560\"]\n  6 -> 13 [size =\"30402560\"]\n  6 -> 14 [size =\"30402560\"]\n  6 -> 15 [size =\"30402560\"]\n  6 -> 16 [size =\"30402560\"]\n  7 [size=\"53370880\", alpha=\"0.17\", expect_size=\"26685440\"] \n  7 -> 10 [size =\"26685440\"]\n  7 -> 11 [size =\"26685440\"]\n  7 -> 13 [size =\"26685440\"]\n  7 -> 14 [size =\"26685440\"]\n  7 -> 15 [size =\"26685440\"]\n  7 -> 15 [size =\"26685440\"]\n  7 -> 16 [size =\"26685440\"]\n  8 [size=\"37339136\", alpha=\"0.16\", expect_size=\"18669568\"] \n  8 -> 10 [size =\"18669568\"]\n  8 -> 11 [size =\"18669568\"]\n  8 -> 12 [size =\"18669568\"]\n  8 -> 15 [size =\"18669568\"]\n  8 -> 15 [size =\"18669568\"]\n  8 -> 16 [size =\"18669568\"]\n  9 [size=\"14780416\", alpha=\"0.15\", expect_size=\"7390208\"] \n  9 -> 18 [size =\"7390208\"]\n  9 -> 19 [size =\"7390208\"]\n  9 -> 23 [size =\"7390208\"]\n  9 -> 23 [size =\"7390208\"]\n  9 -> 24 [size =\"7390208\"]\n  10 [size=\"44474368\", alpha=\"0.14\", expect_size=\"22237184\"] \n  10 -> 18 [size =\"22237184\"]\n  10 -> 19 [size =\"22237184\"]\n  10 -> 20 [size =\"22237184\"]\n  10 -> 21 [size =\"22237184\"]\n  10 -> 22 [size =\"22237184\"]\n  10 -> 24 [size =\"22237184\"]\n  11 [size=\"76707840\", alpha=\"0.19\", expect_size=\"38353920\"] \n  11 -> 18 [size =\"38353920\"]\n  11 -> 20 [size =\"38353920\"]\n  11 -> 21 [size =\"38353920\"]\n  11 -> 23 [size =\"38353920\"]\n  11 -> 25 [size =\"38353920\"]\n  12 [size=\"52494336\", alpha=\"0.16\", expect_size=\"26247168\"] \n  12 -> 18 [size =\"26247168\"]\n  12 -> 20 [size =\"26247168\"]\n  12 -> 21 [size =\"26247168\"]\n  12 -> 22 [size =\"26247168\"]\n  13 [size=\"19673088\", alpha=\"0.05\", expect_size=\"9836544\"] \n  13 -> 18 [size =\"9836544\"]\n  13 -> 22 [size =\"9836544\"]\n  13 -> 25 [size =\"9836544\"]\n  14 [size=\"23592960\", alpha=\"0.16\", expect_size=\"11796480\"] \n  14 -> 19 [size =\"11796480\"]\n  14 -> 22 [size =\"11796480\"]\n  14 -> 25 [size =\"11796480\"]\n  15 [size=\"51529728\", alpha=\"0.19\", expect_size=\"25764864\"] \n  15 -> 18 [size =\"25764864\"]\n  15 -> 20 [size =\"25764864\"]\n  15 -> 21 [size =\"25764864\"]\n  15 -> 22 [size =\"25764864\"]\n  16 [size=\"78776320\", alpha=\"0.15\", expect_size=\"39388160\"] \n  16 -> 18 [size =\"39388160\"]\n  16 -> 20 [size =\"39388160\"]\n  16 -> 23 [size =\"39388160\"]\n  16 -> 24 [size =\"39388160\"]\n  17 [size=\"44871680\", alpha=\"0.17\", expect_size=\"22435840\"] \n  17 -> 20 [size =\"22435840\"]\n  17 -> 21 [size =\"22435840\"]\n  17 -> 22 [size =\"22435840\"]\n  17 -> 23 [size =\"22435840\"]\n  18 [size=\"31180800\", alpha=\"0.04\", expect_size=\"15590400\"] \n  19 [size=\"13768704\", alpha=\"0.03\", expect_size=\"6884352\"] \n  20 [size=\"86284288\", alpha=\"0.09\", expect_size=\"43142144\"] \n  21 [size=\"59627520\", alpha=\"0.11\", expect_size=\"29813760\"] \n  22 [size=\"56870912\", alpha=\"0.11\", expect_size=\"28435456\"] \n  23 [size=\"37597184\", alpha=\"0.20\", expect_size=\"18798592\"] \n  24 [size=\"59113472\", alpha=\"0.04\", expect_size=\"29556736\"] \n  25 [size=\"42156032\", alpha=\"0.15\", expect_size=\"21078016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98594133\", alpha=\"0.18\", expect_size=\"29578240\"] \n  2 [size=\"31173973\", alpha=\"0.11\", expect_size=\"9352192\"] \n  2 -> 3 [size =\"9352192\"]\n  2 -> 4 [size =\"9352192\"]\n  3 [size=\"103161173\", alpha=\"0.15\", expect_size=\"30948352\"] \n  4 [size=\"61402453\", alpha=\"0.09\", expect_size=\"18420736\"] \n  4 -> 5 [size =\"18420736\"]\n  5 [size=\"119207253\", alpha=\"0.02\", expect_size=\"35762176\"] \n  5 -> 6 [size =\"35762176\"]\n  5 -> 7 [size =\"35762176\"]\n  6 [size=\"46725120\", alpha=\"0.11\", expect_size=\"14017536\"] \n  6 -> 9 [size =\"14017536\"]\n  7 [size=\"41321813\", alpha=\"0.04\", expect_size=\"12396544\"] \n  7 -> 8 [size =\"12396544\"]\n  7 -> 9 [size =\"12396544\"]\n  8 [size=\"59395413\", alpha=\"0.20\", expect_size=\"17818624\"] \n  8 -> 10 [size =\"17818624\"]\n  8 -> 11 [size =\"17818624\"]\n  9 [size=\"75717973\", alpha=\"0.07\", expect_size=\"22715392\"] \n  9 -> 10 [size =\"22715392\"]\n  10 [size=\"88238080\", alpha=\"0.02\", expect_size=\"26471424\"] \n  10 -> 12 [size =\"26471424\"]\n  11 [size=\"128477867\", alpha=\"0.09\", expect_size=\"38543360\"] \n  11 -> 12 [size =\"38543360\"]\n  12 [size=\"115752960\", alpha=\"0.04\", expect_size=\"34725888\"] \n  12 -> 13 [size =\"34725888\"]\n  13 [size=\"46875307\", alpha=\"0.16\", expect_size=\"14062592\"] \n  13 -> 14 [size =\"14062592\"]\n  13 -> 15 [size =\"14062592\"]\n  14 [size=\"163676160\", alpha=\"0.11\", expect_size=\"49102848\"] \n  15 [size=\"74789547\", alpha=\"0.19\", expect_size=\"22436864\"] \n  15 -> 16 [size =\"22436864\"]\n  16 [size=\"88934400\", alpha=\"0.02\", expect_size=\"26680320\"] \n  16 -> 17 [size =\"26680320\"]\n  16 -> 18 [size =\"26680320\"]\n  17 [size=\"173233493\", alpha=\"0.18\", expect_size=\"51970048\"] \n  17 -> 19 [size =\"51970048\"]\n  18 [size=\"50548053\", alpha=\"0.02\", expect_size=\"15164416\"] \n  18 -> 19 [size =\"15164416\"]\n  19 [size=\"47714987\", alpha=\"0.05\", expect_size=\"14314496\"] \n  19 -> 20 [size =\"14314496\"]\n  20 [size=\"102120107\", alpha=\"0.02\", expect_size=\"30636032\"] \n  20 -> 21 [size =\"30636032\"]\n  20 -> 22 [size =\"30636032\"]\n  21 [size=\"121541973\", alpha=\"0.10\", expect_size=\"36462592\"] \n  21 -> 23 [size =\"36462592\"]\n  21 -> 24 [size =\"36462592\"]\n  22 [size=\"33280000\", alpha=\"0.19\", expect_size=\"9984000\"] \n  22 -> 23 [size =\"9984000\"]\n  22 -> 24 [size =\"9984000\"]\n  23 [size=\"68218880\", alpha=\"0.19\", expect_size=\"20465664\"] \n  23 -> 25 [size =\"20465664\"]\n  24 [size=\"39417173\", alpha=\"0.04\", expect_size=\"11825152\"] \n  25 [size=\"125794987\", alpha=\"0.03\", expect_size=\"37738496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62408704\", alpha=\"0.20\", expect_size=\"31204352\"] \n  1 -> 20 [size =\"31204352\"]\n  1 -> 21 [size =\"31204352\"]\n  1 -> 23 [size =\"31204352\"]\n  1 -> 25 [size =\"31204352\"]\n  2 [size=\"22218752\", alpha=\"0.10\", expect_size=\"11109376\"] \n  2 -> 19 [size =\"11109376\"]\n  2 -> 20 [size =\"11109376\"]\n  2 -> 21 [size =\"11109376\"]\n  2 -> 23 [size =\"11109376\"]\n  3 [size=\"92710912\", alpha=\"0.09\", expect_size=\"46355456\"] \n  3 -> 20 [size =\"46355456\"]\n  3 -> 21 [size =\"46355456\"]\n  3 -> 23 [size =\"46355456\"]\n  4 [size=\"28010496\", alpha=\"0.06\", expect_size=\"14005248\"] \n  4 -> 17 [size =\"14005248\"]\n  4 -> 18 [size =\"14005248\"]\n  4 -> 20 [size =\"14005248\"]\n  4 -> 22 [size =\"14005248\"]\n  4 -> 25 [size =\"14005248\"]\n  5 [size=\"34867200\", alpha=\"0.08\", expect_size=\"17433600\"] \n  5 -> 17 [size =\"17433600\"]\n  5 -> 21 [size =\"17433600\"]\n  5 -> 22 [size =\"17433600\"]\n  5 -> 22 [size =\"17433600\"]\n  5 -> 23 [size =\"17433600\"]\n  5 -> 25 [size =\"17433600\"]\n  6 [size=\"42659840\", alpha=\"0.08\", expect_size=\"21329920\"] \n  6 -> 17 [size =\"21329920\"]\n  6 -> 19 [size =\"21329920\"]\n  6 -> 20 [size =\"21329920\"]\n  6 -> 21 [size =\"21329920\"]\n  6 -> 22 [size =\"21329920\"]\n  6 -> 25 [size =\"21329920\"]\n  7 [size=\"97730560\", alpha=\"0.19\", expect_size=\"48865280\"] \n  7 -> 17 [size =\"48865280\"]\n  7 -> 18 [size =\"48865280\"]\n  7 -> 19 [size =\"48865280\"]\n  7 -> 22 [size =\"48865280\"]\n  7 -> 23 [size =\"48865280\"]\n  7 -> 25 [size =\"48865280\"]\n  8 [size=\"41883648\", alpha=\"0.05\", expect_size=\"20941824\"] \n  8 -> 17 [size =\"20941824\"]\n  8 -> 19 [size =\"20941824\"]\n  8 -> 21 [size =\"20941824\"]\n  8 -> 25 [size =\"20941824\"]\n  9 [size=\"24332288\", alpha=\"0.07\", expect_size=\"12166144\"] \n  9 -> 17 [size =\"12166144\"]\n  9 -> 19 [size =\"12166144\"]\n  9 -> 20 [size =\"12166144\"]\n  9 -> 23 [size =\"12166144\"]\n  9 -> 24 [size =\"12166144\"]\n  9 -> 25 [size =\"12166144\"]\n  10 [size=\"59052032\", alpha=\"0.12\", expect_size=\"29526016\"] \n  10 -> 17 [size =\"29526016\"]\n  10 -> 19 [size =\"29526016\"]\n  10 -> 20 [size =\"29526016\"]\n  10 -> 22 [size =\"29526016\"]\n  10 -> 25 [size =\"29526016\"]\n  10 -> 25 [size =\"29526016\"]\n  11 [size=\"68485120\", alpha=\"0.14\", expect_size=\"34242560\"] \n  11 -> 17 [size =\"34242560\"]\n  11 -> 19 [size =\"34242560\"]\n  11 -> 20 [size =\"34242560\"]\n  11 -> 24 [size =\"34242560\"]\n  11 -> 25 [size =\"34242560\"]\n  12 [size=\"67328000\", alpha=\"0.00\", expect_size=\"33664000\"] \n  12 -> 17 [size =\"33664000\"]\n  12 -> 19 [size =\"33664000\"]\n  12 -> 24 [size =\"33664000\"]\n  13 [size=\"20447232\", alpha=\"0.16\", expect_size=\"10223616\"] \n  13 -> 17 [size =\"10223616\"]\n  13 -> 19 [size =\"10223616\"]\n  13 -> 20 [size =\"10223616\"]\n  13 -> 21 [size =\"10223616\"]\n  14 [size=\"64618496\", alpha=\"0.14\", expect_size=\"32309248\"] \n  14 -> 16 [size =\"32309248\"]\n  14 -> 17 [size =\"32309248\"]\n  14 -> 19 [size =\"32309248\"]\n  14 -> 21 [size =\"32309248\"]\n  14 -> 24 [size =\"32309248\"]\n  15 [size=\"92661760\", alpha=\"0.07\", expect_size=\"46330880\"] \n  15 -> 19 [size =\"46330880\"]\n  15 -> 21 [size =\"46330880\"]\n  15 -> 22 [size =\"46330880\"]\n  16 [size=\"33814528\", alpha=\"0.13\", expect_size=\"16907264\"] \n  17 [size=\"72306688\", alpha=\"0.06\", expect_size=\"36153344\"] \n  18 [size=\"67311616\", alpha=\"0.00\", expect_size=\"33655808\"] \n  19 [size=\"89399296\", alpha=\"0.07\", expect_size=\"44699648\"] \n  20 [size=\"25923584\", alpha=\"0.03\", expect_size=\"12961792\"] \n  21 [size=\"80902144\", alpha=\"0.11\", expect_size=\"40451072\"] \n  22 [size=\"51412992\", alpha=\"0.00\", expect_size=\"25706496\"] \n  23 [size=\"53620736\", alpha=\"0.08\", expect_size=\"26810368\"] \n  24 [size=\"34295808\", alpha=\"0.19\", expect_size=\"17147904\"] \n  25 [size=\"98082816\", alpha=\"0.15\", expect_size=\"49041408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31528960\", alpha=\"0.17\", expect_size=\"12611584\"] \n  1 -> 19 [size =\"12611584\"]\n  1 -> 20 [size =\"12611584\"]\n  1 -> 22 [size =\"12611584\"]\n  2 [size=\"20999680\", alpha=\"0.12\", expect_size=\"8399872\"] \n  2 -> 19 [size =\"8399872\"]\n  2 -> 23 [size =\"8399872\"]\n  3 [size=\"129123840\", alpha=\"0.20\", expect_size=\"51649536\"] \n  3 -> 22 [size =\"51649536\"]\n  3 -> 23 [size =\"51649536\"]\n  3 -> 24 [size =\"51649536\"]\n  4 [size=\"73395200\", alpha=\"0.08\", expect_size=\"29358080\"] \n  4 -> 21 [size =\"29358080\"]\n  4 -> 23 [size =\"29358080\"]\n  4 -> 24 [size =\"29358080\"]\n  4 -> 25 [size =\"29358080\"]\n  5 [size=\"41840640\", alpha=\"0.15\", expect_size=\"16736256\"] \n  5 -> 18 [size =\"16736256\"]\n  5 -> 22 [size =\"16736256\"]\n  5 -> 24 [size =\"16736256\"]\n  6 [size=\"56983040\", alpha=\"0.05\", expect_size=\"22793216\"] \n  6 -> 18 [size =\"22793216\"]\n  6 -> 24 [size =\"22793216\"]\n  7 [size=\"21626880\", alpha=\"0.07\", expect_size=\"8650752\"] \n  7 -> 18 [size =\"8650752\"]\n  7 -> 19 [size =\"8650752\"]\n  8 [size=\"22376960\", alpha=\"0.04\", expect_size=\"8950784\"] \n  9 [size=\"21429760\", alpha=\"0.00\", expect_size=\"8571904\"] \n  9 -> 18 [size =\"8571904\"]\n  9 -> 20 [size =\"8571904\"]\n  9 -> 22 [size =\"8571904\"]\n  9 -> 24 [size =\"8571904\"]\n  9 -> 25 [size =\"8571904\"]\n  10 [size=\"30487040\", alpha=\"0.10\", expect_size=\"12194816\"] \n  10 -> 20 [size =\"12194816\"]\n  10 -> 25 [size =\"12194816\"]\n  11 [size=\"21857280\", alpha=\"0.15\", expect_size=\"8742912\"] \n  11 -> 24 [size =\"8742912\"]\n  11 -> 25 [size =\"8742912\"]\n  12 [size=\"122903040\", alpha=\"0.16\", expect_size=\"49161216\"] \n  12 -> 20 [size =\"49161216\"]\n  12 -> 25 [size =\"49161216\"]\n  13 [size=\"75015680\", alpha=\"0.05\", expect_size=\"30006272\"] \n  13 -> 20 [size =\"30006272\"]\n  13 -> 21 [size =\"30006272\"]\n  13 -> 22 [size =\"30006272\"]\n  13 -> 23 [size =\"30006272\"]\n  13 -> 25 [size =\"30006272\"]\n  14 [size=\"73566720\", alpha=\"0.18\", expect_size=\"29426688\"] \n  14 -> 24 [size =\"29426688\"]\n  15 [size=\"120916480\", alpha=\"0.10\", expect_size=\"48366592\"] \n  15 -> 23 [size =\"48366592\"]\n  16 [size=\"90270720\", alpha=\"0.04\", expect_size=\"36108288\"] \n  16 -> 23 [size =\"36108288\"]\n  17 [size=\"117637120\", alpha=\"0.19\", expect_size=\"47054848\"] \n  17 -> 19 [size =\"47054848\"]\n  17 -> 20 [size =\"47054848\"]\n  17 -> 22 [size =\"47054848\"]\n  17 -> 23 [size =\"47054848\"]\n  18 [size=\"41303040\", alpha=\"0.02\", expect_size=\"16521216\"] \n  19 [size=\"64025600\", alpha=\"0.17\", expect_size=\"25610240\"] \n  20 [size=\"65446400\", alpha=\"0.18\", expect_size=\"26178560\"] \n  21 [size=\"122478080\", alpha=\"0.02\", expect_size=\"48991232\"] \n  22 [size=\"90396160\", alpha=\"0.07\", expect_size=\"36158464\"] \n  23 [size=\"65067520\", alpha=\"0.12\", expect_size=\"26027008\"] \n  24 [size=\"91691520\", alpha=\"0.08\", expect_size=\"36676608\"] \n  25 [size=\"80867840\", alpha=\"0.08\", expect_size=\"32347136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72665088\", alpha=\"0.02\", expect_size=\"36332544\"] \n  1 -> 2 [size =\"36332544\"]\n  2 [size=\"77170688\", alpha=\"0.06\", expect_size=\"38585344\"] \n  2 -> 3 [size =\"38585344\"]\n  3 [size=\"47941632\", alpha=\"0.01\", expect_size=\"23970816\"] \n  3 -> 4 [size =\"23970816\"]\n  4 [size=\"37300224\", alpha=\"0.11\", expect_size=\"18650112\"] \n  4 -> 5 [size =\"18650112\"]\n  5 [size=\"63922176\", alpha=\"0.03\", expect_size=\"31961088\"] \n  5 -> 6 [size =\"31961088\"]\n  6 [size=\"27394048\", alpha=\"0.20\", expect_size=\"13697024\"] \n  6 -> 7 [size =\"13697024\"]\n  7 [size=\"26331136\", alpha=\"0.04\", expect_size=\"13165568\"] \n  7 -> 8 [size =\"13165568\"]\n  8 [size=\"27748352\", alpha=\"0.02\", expect_size=\"13874176\"] \n  8 -> 9 [size =\"13874176\"]\n  9 [size=\"82497536\", alpha=\"0.07\", expect_size=\"41248768\"] \n  9 -> 10 [size =\"41248768\"]\n  10 [size=\"72065024\", alpha=\"0.03\", expect_size=\"36032512\"] \n  10 -> 11 [size =\"36032512\"]\n  11 [size=\"83611648\", alpha=\"0.13\", expect_size=\"41805824\"] \n  11 -> 12 [size =\"41805824\"]\n  12 [size=\"94009344\", alpha=\"0.18\", expect_size=\"47004672\"] \n  12 -> 13 [size =\"47004672\"]\n  13 [size=\"26851328\", alpha=\"0.09\", expect_size=\"13425664\"] \n  13 -> 14 [size =\"13425664\"]\n  14 [size=\"31569920\", alpha=\"0.14\", expect_size=\"15784960\"] \n  14 -> 15 [size =\"15784960\"]\n  15 [size=\"84291584\", alpha=\"0.03\", expect_size=\"42145792\"] \n  15 -> 16 [size =\"42145792\"]\n  16 [size=\"98744320\", alpha=\"0.02\", expect_size=\"49372160\"] \n  16 -> 17 [size =\"49372160\"]\n  17 [size=\"97613824\", alpha=\"0.01\", expect_size=\"48806912\"] \n  17 -> 18 [size =\"48806912\"]\n  18 [size=\"23504896\", alpha=\"0.12\", expect_size=\"11752448\"] \n  18 -> 19 [size =\"11752448\"]\n  19 [size=\"34369536\", alpha=\"0.15\", expect_size=\"17184768\"] \n  19 -> 20 [size =\"17184768\"]\n  20 [size=\"65705984\", alpha=\"0.13\", expect_size=\"32852992\"] \n  20 -> 21 [size =\"32852992\"]\n  21 [size=\"80148480\", alpha=\"0.04\", expect_size=\"40074240\"] \n  21 -> 22 [size =\"40074240\"]\n  22 [size=\"46512128\", alpha=\"0.09\", expect_size=\"23256064\"] \n  22 -> 23 [size =\"23256064\"]\n  23 [size=\"38914048\", alpha=\"0.02\", expect_size=\"19457024\"] \n  23 -> 24 [size =\"19457024\"]\n  24 [size=\"81297408\", alpha=\"0.00\", expect_size=\"40648704\"] \n  24 -> 25 [size =\"40648704\"]\n  25 [size=\"53405696\", alpha=\"0.10\", expect_size=\"26702848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74086400\", alpha=\"0.02\", expect_size=\"22225920\"] \n  1 -> 17 [size =\"22225920\"]\n  1 -> 20 [size =\"22225920\"]\n  1 -> 21 [size =\"22225920\"]\n  1 -> 22 [size =\"22225920\"]\n  1 -> 24 [size =\"22225920\"]\n  1 -> 25 [size =\"22225920\"]\n  2 [size=\"165611520\", alpha=\"0.15\", expect_size=\"49683456\"] \n  2 -> 18 [size =\"49683456\"]\n  2 -> 19 [size =\"49683456\"]\n  2 -> 22 [size =\"49683456\"]\n  2 -> 24 [size =\"49683456\"]\n  3 [size=\"48182613\", alpha=\"0.00\", expect_size=\"14454784\"] \n  3 -> 18 [size =\"14454784\"]\n  3 -> 21 [size =\"14454784\"]\n  3 -> 22 [size =\"14454784\"]\n  3 -> 25 [size =\"14454784\"]\n  4 [size=\"119111680\", alpha=\"0.02\", expect_size=\"35733504\"] \n  4 -> 18 [size =\"35733504\"]\n  4 -> 22 [size =\"35733504\"]\n  5 [size=\"126760960\", alpha=\"0.09\", expect_size=\"38028288\"] \n  5 -> 18 [size =\"38028288\"]\n  5 -> 22 [size =\"38028288\"]\n  6 [size=\"82063360\", alpha=\"0.07\", expect_size=\"24619008\"] \n  6 -> 22 [size =\"24619008\"]\n  6 -> 22 [size =\"24619008\"]\n  6 -> 24 [size =\"24619008\"]\n  7 [size=\"149510827\", alpha=\"0.03\", expect_size=\"44853248\"] \n  7 -> 18 [size =\"44853248\"]\n  7 -> 19 [size =\"44853248\"]\n  7 -> 20 [size =\"44853248\"]\n  7 -> 22 [size =\"44853248\"]\n  8 [size=\"101826560\", alpha=\"0.02\", expect_size=\"30547968\"] \n  8 -> 18 [size =\"30547968\"]\n  9 [size=\"155487573\", alpha=\"0.17\", expect_size=\"46646272\"] \n  9 -> 21 [size =\"46646272\"]\n  9 -> 24 [size =\"46646272\"]\n  10 [size=\"153395200\", alpha=\"0.05\", expect_size=\"46018560\"] \n  10 -> 21 [size =\"46018560\"]\n  11 [size=\"86022827\", alpha=\"0.15\", expect_size=\"25806848\"] \n  12 [size=\"99222187\", alpha=\"0.05\", expect_size=\"29766656\"] \n  12 -> 18 [size =\"29766656\"]\n  12 -> 22 [size =\"29766656\"]\n  13 [size=\"62088533\", alpha=\"0.01\", expect_size=\"18626560\"] \n  13 -> 20 [size =\"18626560\"]\n  13 -> 21 [size =\"18626560\"]\n  13 -> 23 [size =\"18626560\"]\n  13 -> 24 [size =\"18626560\"]\n  14 [size=\"64238933\", alpha=\"0.16\", expect_size=\"19271680\"] \n  14 -> 17 [size =\"19271680\"]\n  14 -> 20 [size =\"19271680\"]\n  14 -> 21 [size =\"19271680\"]\n  14 -> 23 [size =\"19271680\"]\n  14 -> 24 [size =\"19271680\"]\n  15 [size=\"79121067\", alpha=\"0.15\", expect_size=\"23736320\"] \n  15 -> 23 [size =\"23736320\"]\n  15 -> 24 [size =\"23736320\"]\n  16 [size=\"149992107\", alpha=\"0.14\", expect_size=\"44997632\"] \n  16 -> 24 [size =\"44997632\"]\n  16 -> 25 [size =\"44997632\"]\n  17 [size=\"49455787\", alpha=\"0.13\", expect_size=\"14836736\"] \n  18 [size=\"71905280\", alpha=\"0.04\", expect_size=\"21571584\"] \n  19 [size=\"85275307\", alpha=\"0.14\", expect_size=\"25582592\"] \n  20 [size=\"62211413\", alpha=\"0.13\", expect_size=\"18663424\"] \n  21 [size=\"102089387\", alpha=\"0.00\", expect_size=\"30626816\"] \n  22 [size=\"66372267\", alpha=\"0.06\", expect_size=\"19911680\"] \n  23 [size=\"108458667\", alpha=\"0.16\", expect_size=\"32537600\"] \n  24 [size=\"114554880\", alpha=\"0.18\", expect_size=\"34366464\"] \n  25 [size=\"85777067\", alpha=\"0.15\", expect_size=\"25733120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95994880\", alpha=\"0.07\", expect_size=\"38397952\"] \n  1 -> 11 [size =\"38397952\"]\n  1 -> 12 [size =\"38397952\"]\n  1 -> 13 [size =\"38397952\"]\n  1 -> 16 [size =\"38397952\"]\n  1 -> 17 [size =\"38397952\"]\n  1 -> 19 [size =\"38397952\"]\n  2 [size=\"47439360\", alpha=\"0.18\", expect_size=\"18975744\"] \n  2 -> 11 [size =\"18975744\"]\n  2 -> 13 [size =\"18975744\"]\n  2 -> 15 [size =\"18975744\"]\n  2 -> 16 [size =\"18975744\"]\n  3 [size=\"77962240\", alpha=\"0.19\", expect_size=\"31184896\"] \n  3 -> 13 [size =\"31184896\"]\n  3 -> 14 [size =\"31184896\"]\n  3 -> 15 [size =\"31184896\"]\n  4 [size=\"116014080\", alpha=\"0.05\", expect_size=\"46405632\"] \n  4 -> 19 [size =\"46405632\"]\n  5 [size=\"42421760\", alpha=\"0.11\", expect_size=\"16968704\"] \n  5 -> 13 [size =\"16968704\"]\n  5 -> 15 [size =\"16968704\"]\n  5 -> 18 [size =\"16968704\"]\n  6 [size=\"88821760\", alpha=\"0.03\", expect_size=\"35528704\"] \n  6 -> 12 [size =\"35528704\"]\n  6 -> 14 [size =\"35528704\"]\n  6 -> 15 [size =\"35528704\"]\n  6 -> 18 [size =\"35528704\"]\n  6 -> 19 [size =\"35528704\"]\n  7 [size=\"58846720\", alpha=\"0.08\", expect_size=\"23538688\"] \n  7 -> 12 [size =\"23538688\"]\n  7 -> 13 [size =\"23538688\"]\n  7 -> 15 [size =\"23538688\"]\n  7 -> 17 [size =\"23538688\"]\n  8 [size=\"118023680\", alpha=\"0.08\", expect_size=\"47209472\"] \n  8 -> 11 [size =\"47209472\"]\n  8 -> 13 [size =\"47209472\"]\n  8 -> 19 [size =\"47209472\"]\n  9 [size=\"21004800\", alpha=\"0.20\", expect_size=\"8401920\"] \n  9 -> 17 [size =\"8401920\"]\n  9 -> 18 [size =\"8401920\"]\n  10 [size=\"108789760\", alpha=\"0.12\", expect_size=\"43515904\"] \n  10 -> 11 [size =\"43515904\"]\n  10 -> 15 [size =\"43515904\"]\n  10 -> 16 [size =\"43515904\"]\n  10 -> 19 [size =\"43515904\"]\n  11 [size=\"108285440\", alpha=\"0.12\", expect_size=\"43314176\"] \n  11 -> 20 [size =\"43314176\"]\n  11 -> 23 [size =\"43314176\"]\n  12 [size=\"31933440\", alpha=\"0.03\", expect_size=\"12773376\"] \n  12 -> 20 [size =\"12773376\"]\n  12 -> 22 [size =\"12773376\"]\n  12 -> 25 [size =\"12773376\"]\n  13 [size=\"17464320\", alpha=\"0.00\", expect_size=\"6985728\"] \n  13 -> 22 [size =\"6985728\"]\n  14 [size=\"128975360\", alpha=\"0.18\", expect_size=\"51590144\"] \n  14 -> 22 [size =\"51590144\"]\n  14 -> 25 [size =\"51590144\"]\n  15 [size=\"42094080\", alpha=\"0.08\", expect_size=\"16837632\"] \n  15 -> 20 [size =\"16837632\"]\n  15 -> 25 [size =\"16837632\"]\n  16 [size=\"106603520\", alpha=\"0.12\", expect_size=\"42641408\"] \n  16 -> 22 [size =\"42641408\"]\n  17 [size=\"125140480\", alpha=\"0.11\", expect_size=\"50056192\"] \n  17 -> 22 [size =\"50056192\"]\n  17 -> 24 [size =\"50056192\"]\n  17 -> 25 [size =\"50056192\"]\n  18 [size=\"57039360\", alpha=\"0.03\", expect_size=\"22815744\"] \n  18 -> 20 [size =\"22815744\"]\n  18 -> 21 [size =\"22815744\"]\n  18 -> 24 [size =\"22815744\"]\n  18 -> 25 [size =\"22815744\"]\n  19 [size=\"105799680\", alpha=\"0.11\", expect_size=\"42319872\"] \n  19 -> 21 [size =\"42319872\"]\n  19 -> 22 [size =\"42319872\"]\n  19 -> 23 [size =\"42319872\"]\n  20 [size=\"105177600\", alpha=\"0.14\", expect_size=\"42071040\"] \n  21 [size=\"60638720\", alpha=\"0.10\", expect_size=\"24255488\"] \n  22 [size=\"15582720\", alpha=\"0.13\", expect_size=\"6233088\"] \n  23 [size=\"30720000\", alpha=\"0.07\", expect_size=\"12288000\"] \n  24 [size=\"32376320\", alpha=\"0.18\", expect_size=\"12950528\"] \n  25 [size=\"22248960\", alpha=\"0.14\", expect_size=\"8899584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147479893\", alpha=\"0.17\", expect_size=\"44243968\"] \n  1 -> 2 [size =\"44243968\"]\n  1 -> 3 [size =\"44243968\"]\n  2 [size=\"48865280\", alpha=\"0.12\", expect_size=\"14659584\"] \n  2 -> 4 [size =\"14659584\"]\n  3 [size=\"106540373\", alpha=\"0.11\", expect_size=\"31962112\"] \n  3 -> 4 [size =\"31962112\"]\n  4 [size=\"27685547\", alpha=\"0.18\", expect_size=\"8305664\"] \n  4 -> 5 [size =\"8305664\"]\n  4 -> 6 [size =\"8305664\"]\n  5 [size=\"106147840\", alpha=\"0.05\", expect_size=\"31844352\"] \n  5 -> 7 [size =\"31844352\"]\n  6 [size=\"125296640\", alpha=\"0.14\", expect_size=\"37588992\"] \n  7 [size=\"72666453\", alpha=\"0.02\", expect_size=\"21799936\"] \n  7 -> 8 [size =\"21799936\"]\n  8 [size=\"107857920\", alpha=\"0.19\", expect_size=\"32357376\"] \n  8 -> 9 [size =\"32357376\"]\n  9 [size=\"21196800\", alpha=\"0.18\", expect_size=\"6359040\"] \n  9 -> 10 [size =\"6359040\"]\n  9 -> 11 [size =\"6359040\"]\n  10 [size=\"114182827\", alpha=\"0.02\", expect_size=\"34254848\"] \n  10 -> 12 [size =\"34254848\"]\n  10 -> 13 [size =\"34254848\"]\n  11 [size=\"90695680\", alpha=\"0.01\", expect_size=\"27208704\"] \n  11 -> 13 [size =\"27208704\"]\n  12 [size=\"67126613\", alpha=\"0.11\", expect_size=\"20137984\"] \n  12 -> 14 [size =\"20137984\"]\n  13 [size=\"162054827\", alpha=\"0.17\", expect_size=\"48616448\"] \n  13 -> 14 [size =\"48616448\"]\n  14 [size=\"89371307\", alpha=\"0.14\", expect_size=\"26811392\"] \n  14 -> 15 [size =\"26811392\"]\n  14 -> 16 [size =\"26811392\"]\n  15 [size=\"71959893\", alpha=\"0.04\", expect_size=\"21587968\"] \n  15 -> 17 [size =\"21587968\"]\n  16 [size=\"111182507\", alpha=\"0.13\", expect_size=\"33354752\"] \n  16 -> 17 [size =\"33354752\"]\n  16 -> 18 [size =\"33354752\"]\n  17 [size=\"67334827\", alpha=\"0.10\", expect_size=\"20200448\"] \n  17 -> 19 [size =\"20200448\"]\n  18 [size=\"85046613\", alpha=\"0.05\", expect_size=\"25513984\"] \n  18 -> 19 [size =\"25513984\"]\n  18 -> 20 [size =\"25513984\"]\n  19 [size=\"73758720\", alpha=\"0.11\", expect_size=\"22127616\"] \n  19 -> 21 [size =\"22127616\"]\n  20 [size=\"59521707\", alpha=\"0.11\", expect_size=\"17856512\"] \n  20 -> 22 [size =\"17856512\"]\n  21 [size=\"75397120\", alpha=\"0.07\", expect_size=\"22619136\"] \n  21 -> 23 [size =\"22619136\"]\n  22 [size=\"84206933\", alpha=\"0.08\", expect_size=\"25262080\"] \n  22 -> 23 [size =\"25262080\"]\n  23 [size=\"172144640\", alpha=\"0.20\", expect_size=\"51643392\"] \n  23 -> 24 [size =\"51643392\"]\n  23 -> 25 [size =\"51643392\"]\n  24 [size=\"150121813\", alpha=\"0.13\", expect_size=\"45036544\"] \n  25 [size=\"100328107\", alpha=\"0.17\", expect_size=\"30098432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107605333\", alpha=\"0.16\", expect_size=\"32281600\"] \n  1 -> 19 [size =\"32281600\"]\n  1 -> 21 [size =\"32281600\"]\n  1 -> 23 [size =\"32281600\"]\n  1 -> 24 [size =\"32281600\"]\n  2 [size=\"147739307\", alpha=\"0.09\", expect_size=\"44321792\"] \n  2 -> 19 [size =\"44321792\"]\n  2 -> 23 [size =\"44321792\"]\n  2 -> 23 [size =\"44321792\"]\n  3 [size=\"83688107\", alpha=\"0.01\", expect_size=\"25106432\"] \n  3 -> 18 [size =\"25106432\"]\n  3 -> 19 [size =\"25106432\"]\n  3 -> 21 [size =\"25106432\"]\n  3 -> 23 [size =\"25106432\"]\n  3 -> 25 [size =\"25106432\"]\n  4 [size=\"64406187\", alpha=\"0.16\", expect_size=\"19321856\"] \n  4 -> 19 [size =\"19321856\"]\n  4 -> 20 [size =\"19321856\"]\n  4 -> 21 [size =\"19321856\"]\n  5 [size=\"122368000\", alpha=\"0.04\", expect_size=\"36710400\"] \n  5 -> 19 [size =\"36710400\"]\n  6 [size=\"92119040\", alpha=\"0.00\", expect_size=\"27635712\"] \n  6 -> 18 [size =\"27635712\"]\n  6 -> 19 [size =\"27635712\"]\n  6 -> 21 [size =\"27635712\"]\n  6 -> 22 [size =\"27635712\"]\n  6 -> 23 [size =\"27635712\"]\n  7 [size=\"39058773\", alpha=\"0.09\", expect_size=\"11717632\"] \n  7 -> 18 [size =\"11717632\"]\n  7 -> 19 [size =\"11717632\"]\n  8 [size=\"100969813\", alpha=\"0.10\", expect_size=\"30290944\"] \n  8 -> 18 [size =\"30290944\"]\n  8 -> 23 [size =\"30290944\"]\n  9 [size=\"132085760\", alpha=\"0.05\", expect_size=\"39625728\"] \n  9 -> 23 [size =\"39625728\"]\n  9 -> 24 [size =\"39625728\"]\n  10 [size=\"38570667\", alpha=\"0.11\", expect_size=\"11571200\"] \n  10 -> 23 [size =\"11571200\"]\n  11 [size=\"152893440\", alpha=\"0.07\", expect_size=\"45868032\"] \n  11 -> 19 [size =\"45868032\"]\n  11 -> 23 [size =\"45868032\"]\n  12 [size=\"125125973\", alpha=\"0.16\", expect_size=\"37537792\"] \n  12 -> 23 [size =\"37537792\"]\n  12 -> 23 [size =\"37537792\"]\n  12 -> 24 [size =\"37537792\"]\n  13 [size=\"38311253\", alpha=\"0.19\", expect_size=\"11493376\"] \n  13 -> 19 [size =\"11493376\"]\n  13 -> 21 [size =\"11493376\"]\n  14 [size=\"47165440\", alpha=\"0.16\", expect_size=\"14149632\"] \n  14 -> 22 [size =\"14149632\"]\n  14 -> 24 [size =\"14149632\"]\n  15 [size=\"174144853\", alpha=\"0.02\", expect_size=\"52243456\"] \n  15 -> 20 [size =\"52243456\"]\n  15 -> 21 [size =\"52243456\"]\n  16 [size=\"45742080\", alpha=\"0.06\", expect_size=\"13722624\"] \n  16 -> 19 [size =\"13722624\"]\n  17 [size=\"48257707\", alpha=\"0.00\", expect_size=\"14477312\"] \n  17 -> 20 [size =\"14477312\"]\n  17 -> 22 [size =\"14477312\"]\n  17 -> 23 [size =\"14477312\"]\n  17 -> 24 [size =\"14477312\"]\n  18 [size=\"121118720\", alpha=\"0.20\", expect_size=\"36335616\"] \n  19 [size=\"44537173\", alpha=\"0.05\", expect_size=\"13361152\"] \n  20 [size=\"81694720\", alpha=\"0.14\", expect_size=\"24508416\"] \n  21 [size=\"171663360\", alpha=\"0.15\", expect_size=\"51499008\"] \n  22 [size=\"73243307\", alpha=\"0.12\", expect_size=\"21972992\"] \n  23 [size=\"44284587\", alpha=\"0.18\", expect_size=\"13285376\"] \n  24 [size=\"33146880\", alpha=\"0.10\", expect_size=\"9944064\"] \n  25 [size=\"161617920\", alpha=\"0.15\", expect_size=\"48485376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101472256\", alpha=\"0.13\", expect_size=\"50736128\"] \n  1 -> 2 [size =\"50736128\"]\n  2 [size=\"49453056\", alpha=\"0.04\", expect_size=\"24726528\"] \n  2 -> 3 [size =\"24726528\"]\n  3 [size=\"101515264\", alpha=\"0.07\", expect_size=\"50757632\"] \n  3 -> 4 [size =\"50757632\"]\n  4 [size=\"96000000\", alpha=\"0.03\", expect_size=\"48000000\"] \n  4 -> 5 [size =\"48000000\"]\n  5 [size=\"64167936\", alpha=\"0.03\", expect_size=\"32083968\"] \n  5 -> 6 [size =\"32083968\"]\n  6 [size=\"43552768\", alpha=\"0.06\", expect_size=\"21776384\"] \n  6 -> 7 [size =\"21776384\"]\n  7 [size=\"61390848\", alpha=\"0.19\", expect_size=\"30695424\"] \n  7 -> 8 [size =\"30695424\"]\n  8 [size=\"78397440\", alpha=\"0.09\", expect_size=\"39198720\"] \n  8 -> 9 [size =\"39198720\"]\n  9 [size=\"88991744\", alpha=\"0.04\", expect_size=\"44495872\"] \n  9 -> 10 [size =\"44495872\"]\n  10 [size=\"23635968\", alpha=\"0.19\", expect_size=\"11817984\"] \n  10 -> 11 [size =\"11817984\"]\n  11 [size=\"18018304\", alpha=\"0.02\", expect_size=\"9009152\"] \n  11 -> 12 [size =\"9009152\"]\n  12 [size=\"79542272\", alpha=\"0.07\", expect_size=\"39771136\"] \n  12 -> 13 [size =\"39771136\"]\n  13 [size=\"97447936\", alpha=\"0.03\", expect_size=\"48723968\"] \n  13 -> 14 [size =\"48723968\"]\n  14 [size=\"37675008\", alpha=\"0.13\", expect_size=\"18837504\"] \n  14 -> 15 [size =\"18837504\"]\n  15 [size=\"50372608\", alpha=\"0.13\", expect_size=\"25186304\"] \n  15 -> 16 [size =\"25186304\"]\n  16 [size=\"65849344\", alpha=\"0.15\", expect_size=\"32924672\"] \n  16 -> 17 [size =\"32924672\"]\n  17 [size=\"92551168\", alpha=\"0.05\", expect_size=\"46275584\"] \n  17 -> 18 [size =\"46275584\"]\n  18 [size=\"85839872\", alpha=\"0.16\", expect_size=\"42919936\"] \n  18 -> 19 [size =\"42919936\"]\n  19 [size=\"31735808\", alpha=\"0.03\", expect_size=\"15867904\"] \n  19 -> 20 [size =\"15867904\"]\n  20 [size=\"50796544\", alpha=\"0.08\", expect_size=\"25398272\"] \n  20 -> 21 [size =\"25398272\"]\n  21 [size=\"47659008\", alpha=\"0.12\", expect_size=\"23829504\"] \n  21 -> 22 [size =\"23829504\"]\n  22 [size=\"57534464\", alpha=\"0.04\", expect_size=\"28767232\"] \n  22 -> 23 [size =\"28767232\"]\n  23 [size=\"90923008\", alpha=\"0.16\", expect_size=\"45461504\"] \n  23 -> 24 [size =\"45461504\"]\n  24 [size=\"11001856\", alpha=\"0.06\", expect_size=\"5500928\"] \n  24 -> 25 [size =\"5500928\"]\n  25 [size=\"71469056\", alpha=\"0.07\", expect_size=\"35734528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123284480\", alpha=\"0.11\", expect_size=\"49313792\"] \n  1 -> 2 [size =\"49313792\"]\n  2 [size=\"85158400\", alpha=\"0.09\", expect_size=\"34063360\"] \n  2 -> 3 [size =\"34063360\"]\n  3 [size=\"58053120\", alpha=\"0.14\", expect_size=\"23221248\"] \n  3 -> 4 [size =\"23221248\"]\n  4 [size=\"126935040\", alpha=\"0.09\", expect_size=\"50774016\"] \n  4 -> 5 [size =\"50774016\"]\n  5 [size=\"113643520\", alpha=\"0.12\", expect_size=\"45457408\"] \n  5 -> 6 [size =\"45457408\"]\n  6 [size=\"49249280\", alpha=\"0.01\", expect_size=\"19699712\"] \n  6 -> 7 [size =\"19699712\"]\n  7 [size=\"48737280\", alpha=\"0.13\", expect_size=\"19494912\"] \n  7 -> 8 [size =\"19494912\"]\n  8 [size=\"120048640\", alpha=\"0.14\", expect_size=\"48019456\"] \n  8 -> 9 [size =\"48019456\"]\n  9 [size=\"61672960\", alpha=\"0.03\", expect_size=\"24669184\"] \n  9 -> 10 [size =\"24669184\"]\n  10 [size=\"111700480\", alpha=\"0.13\", expect_size=\"44680192\"] \n  10 -> 11 [size =\"44680192\"]\n  11 [size=\"101084160\", alpha=\"0.05\", expect_size=\"40433664\"] \n  11 -> 12 [size =\"40433664\"]\n  12 [size=\"48706560\", alpha=\"0.03\", expect_size=\"19482624\"] \n  12 -> 13 [size =\"19482624\"]\n  13 [size=\"100395520\", alpha=\"0.19\", expect_size=\"40158208\"] \n  13 -> 14 [size =\"40158208\"]\n  14 [size=\"67896320\", alpha=\"0.05\", expect_size=\"27158528\"] \n  14 -> 15 [size =\"27158528\"]\n  15 [size=\"119700480\", alpha=\"0.15\", expect_size=\"47880192\"] \n  15 -> 16 [size =\"47880192\"]\n  16 [size=\"70848000\", alpha=\"0.06\", expect_size=\"28339200\"] \n  16 -> 17 [size =\"28339200\"]\n  17 [size=\"75125760\", alpha=\"0.18\", expect_size=\"30050304\"] \n  17 -> 18 [size =\"30050304\"]\n  18 [size=\"36756480\", alpha=\"0.18\", expect_size=\"14702592\"] \n  18 -> 19 [size =\"14702592\"]\n  19 [size=\"120793600\", alpha=\"0.01\", expect_size=\"48317440\"] \n  19 -> 20 [size =\"48317440\"]\n  20 [size=\"20052480\", alpha=\"0.20\", expect_size=\"8020992\"] \n  20 -> 21 [size =\"8020992\"]\n  21 [size=\"99000320\", alpha=\"0.17\", expect_size=\"39600128\"] \n  21 -> 22 [size =\"39600128\"]\n  22 [size=\"128025600\", alpha=\"0.07\", expect_size=\"51210240\"] \n  22 -> 23 [size =\"51210240\"]\n  23 [size=\"27251200\", alpha=\"0.04\", expect_size=\"10900480\"] \n  23 -> 24 [size =\"10900480\"]\n  24 [size=\"18503680\", alpha=\"0.01\", expect_size=\"7401472\"] \n  24 -> 25 [size =\"7401472\"]\n  25 [size=\"49994240\", alpha=\"0.14\", expect_size=\"19997696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87495680\", alpha=\"0.16\", expect_size=\"34998272\"] \n  1 -> 3 [size =\"34998272\"]\n  2 [size=\"22200320\", alpha=\"0.00\", expect_size=\"8880128\"] \n  2 -> 3 [size =\"8880128\"]\n  2 -> 4 [size =\"8880128\"]\n  3 [size=\"82908160\", alpha=\"0.14\", expect_size=\"33163264\"] \n  3 -> 6 [size =\"33163264\"]\n  4 [size=\"105354240\", alpha=\"0.18\", expect_size=\"42141696\"] \n  4 -> 5 [size =\"42141696\"]\n  4 -> 6 [size =\"42141696\"]\n  5 [size=\"15070720\", alpha=\"0.17\", expect_size=\"6028288\"] \n  5 -> 7 [size =\"6028288\"]\n  5 -> 8 [size =\"6028288\"]\n  6 [size=\"78284800\", alpha=\"0.16\", expect_size=\"31313920\"] \n  6 -> 7 [size =\"31313920\"]\n  7 [size=\"44372480\", alpha=\"0.11\", expect_size=\"17748992\"] \n  7 -> 9 [size =\"17748992\"]\n  8 [size=\"36861440\", alpha=\"0.03\", expect_size=\"14744576\"] \n  8 -> 9 [size =\"14744576\"]\n  8 -> 10 [size =\"14744576\"]\n  9 [size=\"63841280\", alpha=\"0.16\", expect_size=\"25536512\"] \n  10 [size=\"78681600\", alpha=\"0.02\", expect_size=\"31472640\"] \n  10 -> 11 [size =\"31472640\"]\n  10 -> 12 [size =\"31472640\"]\n  11 [size=\"35427840\", alpha=\"0.13\", expect_size=\"14171136\"] \n  11 -> 14 [size =\"14171136\"]\n  12 [size=\"128837120\", alpha=\"0.01\", expect_size=\"51534848\"] \n  12 -> 13 [size =\"51534848\"]\n  12 -> 14 [size =\"51534848\"]\n  13 [size=\"129950720\", alpha=\"0.02\", expect_size=\"51980288\"] \n  13 -> 15 [size =\"51980288\"]\n  14 [size=\"95395840\", alpha=\"0.00\", expect_size=\"38158336\"] \n  14 -> 15 [size =\"38158336\"]\n  15 [size=\"86118400\", alpha=\"0.19\", expect_size=\"34447360\"] \n  15 -> 16 [size =\"34447360\"]\n  15 -> 17 [size =\"34447360\"]\n  16 [size=\"66086400\", alpha=\"0.03\", expect_size=\"26434560\"] \n  16 -> 18 [size =\"26434560\"]\n  16 -> 19 [size =\"26434560\"]\n  17 [size=\"45281280\", alpha=\"0.05\", expect_size=\"18112512\"] \n  17 -> 18 [size =\"18112512\"]\n  18 [size=\"110786560\", alpha=\"0.00\", expect_size=\"44314624\"] \n  18 -> 20 [size =\"44314624\"]\n  19 [size=\"13273600\", alpha=\"0.11\", expect_size=\"5309440\"] \n  20 [size=\"108456960\", alpha=\"0.17\", expect_size=\"43382784\"] \n  20 -> 21 [size =\"43382784\"]\n  20 -> 22 [size =\"43382784\"]\n  21 [size=\"122232320\", alpha=\"0.15\", expect_size=\"48892928\"] \n  22 [size=\"81408000\", alpha=\"0.16\", expect_size=\"32563200\"] \n  22 -> 23 [size =\"32563200\"]\n  23 [size=\"88601600\", alpha=\"0.08\", expect_size=\"35440640\"] \n  23 -> 24 [size =\"35440640\"]\n  23 -> 25 [size =\"35440640\"]\n  24 [size=\"101744640\", alpha=\"0.15\", expect_size=\"40697856\"] \n  25 [size=\"101888000\", alpha=\"0.03\", expect_size=\"40755200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38430720\", alpha=\"0.05\", expect_size=\"11529216\"] \n  1 -> 3 [size =\"11529216\"]\n  2 [size=\"144407893\", alpha=\"0.13\", expect_size=\"43322368\"] \n  3 [size=\"108936533\", alpha=\"0.06\", expect_size=\"32680960\"] \n  3 -> 4 [size =\"32680960\"]\n  4 [size=\"150005760\", alpha=\"0.06\", expect_size=\"45001728\"] \n  4 -> 5 [size =\"45001728\"]\n  4 -> 6 [size =\"45001728\"]\n  5 [size=\"91484160\", alpha=\"0.08\", expect_size=\"27445248\"] \n  6 [size=\"44513280\", alpha=\"0.17\", expect_size=\"13353984\"] \n  6 -> 7 [size =\"13353984\"]\n  6 -> 8 [size =\"13353984\"]\n  7 [size=\"22702080\", alpha=\"0.19\", expect_size=\"6810624\"] \n  7 -> 9 [size =\"6810624\"]\n  8 [size=\"74222933\", alpha=\"0.06\", expect_size=\"22266880\"] \n  9 [size=\"40857600\", alpha=\"0.18\", expect_size=\"12257280\"] \n  9 -> 10 [size =\"12257280\"]\n  10 [size=\"134389760\", alpha=\"0.10\", expect_size=\"40316928\"] \n  10 -> 11 [size =\"40316928\"]\n  11 [size=\"124197547\", alpha=\"0.02\", expect_size=\"37259264\"] \n  11 -> 12 [size =\"37259264\"]\n  12 [size=\"166393173\", alpha=\"0.06\", expect_size=\"49917952\"] \n  12 -> 13 [size =\"49917952\"]\n  12 -> 14 [size =\"49917952\"]\n  13 [size=\"108032000\", alpha=\"0.06\", expect_size=\"32409600\"] \n  13 -> 15 [size =\"32409600\"]\n  14 [size=\"157330773\", alpha=\"0.04\", expect_size=\"47199232\"] \n  14 -> 16 [size =\"47199232\"]\n  15 [size=\"50295467\", alpha=\"0.17\", expect_size=\"15088640\"] \n  15 -> 17 [size =\"15088640\"]\n  15 -> 18 [size =\"15088640\"]\n  16 [size=\"109977600\", alpha=\"0.10\", expect_size=\"32993280\"] \n  17 [size=\"89695573\", alpha=\"0.19\", expect_size=\"26908672\"] \n  17 -> 19 [size =\"26908672\"]\n  18 [size=\"83834880\", alpha=\"0.14\", expect_size=\"25150464\"] \n  18 -> 20 [size =\"25150464\"]\n  19 [size=\"134792533\", alpha=\"0.02\", expect_size=\"40437760\"] \n  19 -> 21 [size =\"40437760\"]\n  19 -> 22 [size =\"40437760\"]\n  20 [size=\"121159680\", alpha=\"0.04\", expect_size=\"36347904\"] \n  21 [size=\"43799893\", alpha=\"0.09\", expect_size=\"13139968\"] \n  21 -> 23 [size =\"13139968\"]\n  21 -> 24 [size =\"13139968\"]\n  22 [size=\"58142720\", alpha=\"0.10\", expect_size=\"17442816\"] \n  23 [size=\"105441280\", alpha=\"0.03\", expect_size=\"31632384\"] \n  24 [size=\"151514453\", alpha=\"0.13\", expect_size=\"45454336\"] \n  24 -> 25 [size =\"45454336\"]\n  25 [size=\"24258560\", alpha=\"0.12\", expect_size=\"7277568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11173888\", alpha=\"0.01\", expect_size=\"5586944\"] \n  1 -> 10 [size =\"5586944\"]\n  1 -> 12 [size =\"5586944\"]\n  1 -> 13 [size =\"5586944\"]\n  1 -> 17 [size =\"5586944\"]\n  1 -> 18 [size =\"5586944\"]\n  1 -> 19 [size =\"5586944\"]\n  2 [size=\"15828992\", alpha=\"0.20\", expect_size=\"7914496\"] \n  2 -> 17 [size =\"7914496\"]\n  2 -> 18 [size =\"7914496\"]\n  3 [size=\"54444032\", alpha=\"0.18\", expect_size=\"27222016\"] \n  3 -> 12 [size =\"27222016\"]\n  3 -> 13 [size =\"27222016\"]\n  3 -> 14 [size =\"27222016\"]\n  3 -> 16 [size =\"27222016\"]\n  3 -> 20 [size =\"27222016\"]\n  4 [size=\"96149504\", alpha=\"0.02\", expect_size=\"48074752\"] \n  4 -> 9 [size =\"48074752\"]\n  4 -> 14 [size =\"48074752\"]\n  4 -> 17 [size =\"48074752\"]\n  4 -> 20 [size =\"48074752\"]\n  5 [size=\"45137920\", alpha=\"0.13\", expect_size=\"22568960\"] \n  5 -> 11 [size =\"22568960\"]\n  5 -> 12 [size =\"22568960\"]\n  5 -> 13 [size =\"22568960\"]\n  5 -> 14 [size =\"22568960\"]\n  5 -> 19 [size =\"22568960\"]\n  5 -> 20 [size =\"22568960\"]\n  6 [size=\"73734144\", alpha=\"0.07\", expect_size=\"36867072\"] \n  6 -> 11 [size =\"36867072\"]\n  6 -> 14 [size =\"36867072\"]\n  7 [size=\"81850368\", alpha=\"0.05\", expect_size=\"40925184\"] \n  7 -> 16 [size =\"40925184\"]\n  7 -> 17 [size =\"40925184\"]\n  7 -> 19 [size =\"40925184\"]\n  7 -> 20 [size =\"40925184\"]\n  8 [size=\"38354944\", alpha=\"0.17\", expect_size=\"19177472\"] \n  8 -> 12 [size =\"19177472\"]\n  8 -> 15 [size =\"19177472\"]\n  8 -> 16 [size =\"19177472\"]\n  8 -> 18 [size =\"19177472\"]\n  9 [size=\"32923648\", alpha=\"0.16\", expect_size=\"16461824\"] \n  9 -> 22 [size =\"16461824\"]\n  9 -> 23 [size =\"16461824\"]\n  10 [size=\"71274496\", alpha=\"0.13\", expect_size=\"35637248\"] \n  10 -> 23 [size =\"35637248\"]\n  10 -> 24 [size =\"35637248\"]\n  10 -> 25 [size =\"35637248\"]\n  11 [size=\"33824768\", alpha=\"0.16\", expect_size=\"16912384\"] \n  11 -> 21 [size =\"16912384\"]\n  11 -> 24 [size =\"16912384\"]\n  12 [size=\"37666816\", alpha=\"0.14\", expect_size=\"18833408\"] \n  12 -> 23 [size =\"18833408\"]\n  12 -> 24 [size =\"18833408\"]\n  12 -> 25 [size =\"18833408\"]\n  13 [size=\"35864576\", alpha=\"0.17\", expect_size=\"17932288\"] \n  13 -> 23 [size =\"17932288\"]\n  14 [size=\"28620800\", alpha=\"0.04\", expect_size=\"14310400\"] \n  14 -> 24 [size =\"14310400\"]\n  15 [size=\"37101568\", alpha=\"0.14\", expect_size=\"18550784\"] \n  15 -> 22 [size =\"18550784\"]\n  16 [size=\"96116736\", alpha=\"0.07\", expect_size=\"48058368\"] \n  17 [size=\"36694016\", alpha=\"0.07\", expect_size=\"18347008\"] \n  18 [size=\"60583936\", alpha=\"0.13\", expect_size=\"30291968\"] \n  19 [size=\"45416448\", alpha=\"0.17\", expect_size=\"22708224\"] \n  19 -> 23 [size =\"22708224\"]\n  19 -> 25 [size =\"22708224\"]\n  20 [size=\"25376768\", alpha=\"0.09\", expect_size=\"12688384\"] \n  20 -> 21 [size =\"12688384\"]\n  20 -> 23 [size =\"12688384\"]\n  21 [size=\"86513664\", alpha=\"0.01\", expect_size=\"43256832\"] \n  22 [size=\"69019648\", alpha=\"0.14\", expect_size=\"34509824\"] \n  23 [size=\"42274816\", alpha=\"0.17\", expect_size=\"21137408\"] \n  24 [size=\"30199808\", alpha=\"0.18\", expect_size=\"15099904\"] \n  25 [size=\"49321984\", alpha=\"0.06\", expect_size=\"24660992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37847040\", alpha=\"0.11\", expect_size=\"15138816\"] \n  1 -> 12 [size =\"15138816\"]\n  1 -> 15 [size =\"15138816\"]\n  1 -> 16 [size =\"15138816\"]\n  1 -> 17 [size =\"15138816\"]\n  2 [size=\"129195520\", alpha=\"0.10\", expect_size=\"51678208\"] \n  2 -> 13 [size =\"51678208\"]\n  2 -> 15 [size =\"51678208\"]\n  2 -> 22 [size =\"51678208\"]\n  2 -> 25 [size =\"51678208\"]\n  3 [size=\"24222720\", alpha=\"0.14\", expect_size=\"9689088\"] \n  3 -> 13 [size =\"9689088\"]\n  3 -> 17 [size =\"9689088\"]\n  4 [size=\"101598720\", alpha=\"0.19\", expect_size=\"40639488\"] \n  4 -> 12 [size =\"40639488\"]\n  4 -> 13 [size =\"40639488\"]\n  4 -> 17 [size =\"40639488\"]\n  4 -> 20 [size =\"40639488\"]\n  4 -> 23 [size =\"40639488\"]\n  4 -> 24 [size =\"40639488\"]\n  4 -> 25 [size =\"40639488\"]\n  5 [size=\"22197760\", alpha=\"0.17\", expect_size=\"8879104\"] \n  5 -> 12 [size =\"8879104\"]\n  5 -> 13 [size =\"8879104\"]\n  5 -> 15 [size =\"8879104\"]\n  5 -> 16 [size =\"8879104\"]\n  5 -> 17 [size =\"8879104\"]\n  5 -> 18 [size =\"8879104\"]\n  5 -> 19 [size =\"8879104\"]\n  5 -> 22 [size =\"8879104\"]\n  5 -> 23 [size =\"8879104\"]\n  5 -> 24 [size =\"8879104\"]\n  5 -> 25 [size =\"8879104\"]\n  6 [size=\"90844160\", alpha=\"0.09\", expect_size=\"36337664\"] \n  6 -> 15 [size =\"36337664\"]\n  6 -> 17 [size =\"36337664\"]\n  6 -> 18 [size =\"36337664\"]\n  6 -> 22 [size =\"36337664\"]\n  6 -> 23 [size =\"36337664\"]\n  6 -> 24 [size =\"36337664\"]\n  6 -> 25 [size =\"36337664\"]\n  7 [size=\"15636480\", alpha=\"0.18\", expect_size=\"6254592\"] \n  7 -> 17 [size =\"6254592\"]\n  7 -> 23 [size =\"6254592\"]\n  7 -> 24 [size =\"6254592\"]\n  8 [size=\"13496320\", alpha=\"0.06\", expect_size=\"5398528\"] \n  8 -> 12 [size =\"5398528\"]\n  8 -> 14 [size =\"5398528\"]\n  8 -> 18 [size =\"5398528\"]\n  8 -> 20 [size =\"5398528\"]\n  8 -> 25 [size =\"5398528\"]\n  9 [size=\"103764480\", alpha=\"0.17\", expect_size=\"41505792\"] \n  9 -> 14 [size =\"41505792\"]\n  9 -> 17 [size =\"41505792\"]\n  9 -> 18 [size =\"41505792\"]\n  9 -> 20 [size =\"41505792\"]\n  9 -> 21 [size =\"41505792\"]\n  9 -> 24 [size =\"41505792\"]\n  9 -> 25 [size =\"41505792\"]\n  10 [size=\"63485440\", alpha=\"0.00\", expect_size=\"25394176\"] \n  10 -> 15 [size =\"25394176\"]\n  10 -> 16 [size =\"25394176\"]\n  10 -> 20 [size =\"25394176\"]\n  10 -> 24 [size =\"25394176\"]\n  11 [size=\"26752000\", alpha=\"0.13\", expect_size=\"10700800\"] \n  11 -> 14 [size =\"10700800\"]\n  11 -> 15 [size =\"10700800\"]\n  11 -> 19 [size =\"10700800\"]\n  11 -> 24 [size =\"10700800\"]\n  12 [size=\"90150400\", alpha=\"0.19\", expect_size=\"36060160\"] \n  13 [size=\"30563840\", alpha=\"0.01\", expect_size=\"12225536\"] \n  14 [size=\"110484480\", alpha=\"0.06\", expect_size=\"44193792\"] \n  15 [size=\"103109120\", alpha=\"0.01\", expect_size=\"41243648\"] \n  16 [size=\"88168960\", alpha=\"0.02\", expect_size=\"35267584\"] \n  17 [size=\"25689600\", alpha=\"0.20\", expect_size=\"10275840\"] \n  18 [size=\"15244800\", alpha=\"0.15\", expect_size=\"6097920\"] \n  19 [size=\"48483840\", alpha=\"0.17\", expect_size=\"19393536\"] \n  20 [size=\"32729600\", alpha=\"0.05\", expect_size=\"13091840\"] \n  21 [size=\"33420800\", alpha=\"0.17\", expect_size=\"13368320\"] \n  22 [size=\"110461440\", alpha=\"0.08\", expect_size=\"44184576\"] \n  23 [size=\"102369280\", alpha=\"0.01\", expect_size=\"40947712\"] \n  24 [size=\"110169600\", alpha=\"0.10\", expect_size=\"44067840\"] \n  25 [size=\"24760320\", alpha=\"0.20\", expect_size=\"9904128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133826560\", alpha=\"0.00\", expect_size=\"40147968\"] \n  1 -> 2 [size =\"40147968\"]\n  2 [size=\"104168107\", alpha=\"0.12\", expect_size=\"31250432\"] \n  2 -> 3 [size =\"31250432\"]\n  3 [size=\"160249173\", alpha=\"0.09\", expect_size=\"48074752\"] \n  3 -> 4 [size =\"48074752\"]\n  4 [size=\"126900907\", alpha=\"0.17\", expect_size=\"38070272\"] \n  4 -> 5 [size =\"38070272\"]\n  5 [size=\"127071573\", alpha=\"0.11\", expect_size=\"38121472\"] \n  5 -> 6 [size =\"38121472\"]\n  6 [size=\"17762987\", alpha=\"0.03\", expect_size=\"5328896\"] \n  6 -> 7 [size =\"5328896\"]\n  7 [size=\"98570240\", alpha=\"0.14\", expect_size=\"29571072\"] \n  7 -> 8 [size =\"29571072\"]\n  8 [size=\"131109547\", alpha=\"0.08\", expect_size=\"39332864\"] \n  8 -> 9 [size =\"39332864\"]\n  9 [size=\"122443093\", alpha=\"0.11\", expect_size=\"36732928\"] \n  9 -> 10 [size =\"36732928\"]\n  10 [size=\"118626987\", alpha=\"0.06\", expect_size=\"35588096\"] \n  10 -> 11 [size =\"35588096\"]\n  11 [size=\"152804693\", alpha=\"0.10\", expect_size=\"45841408\"] \n  11 -> 12 [size =\"45841408\"]\n  12 [size=\"156665173\", alpha=\"0.11\", expect_size=\"46999552\"] \n  12 -> 13 [size =\"46999552\"]\n  13 [size=\"96037547\", alpha=\"0.02\", expect_size=\"28811264\"] \n  13 -> 14 [size =\"28811264\"]\n  14 [size=\"163672747\", alpha=\"0.01\", expect_size=\"49101824\"] \n  14 -> 15 [size =\"49101824\"]\n  15 [size=\"141056000\", alpha=\"0.13\", expect_size=\"42316800\"] \n  15 -> 16 [size =\"42316800\"]\n  16 [size=\"72130560\", alpha=\"0.08\", expect_size=\"21639168\"] \n  16 -> 17 [size =\"21639168\"]\n  17 [size=\"93525333\", alpha=\"0.13\", expect_size=\"28057600\"] \n  17 -> 18 [size =\"28057600\"]\n  18 [size=\"45779627\", alpha=\"0.14\", expect_size=\"13733888\"] \n  18 -> 19 [size =\"13733888\"]\n  19 [size=\"106164907\", alpha=\"0.00\", expect_size=\"31849472\"] \n  19 -> 20 [size =\"31849472\"]\n  20 [size=\"35351893\", alpha=\"0.03\", expect_size=\"10605568\"] \n  20 -> 21 [size =\"10605568\"]\n  21 [size=\"81698133\", alpha=\"0.01\", expect_size=\"24509440\"] \n  21 -> 22 [size =\"24509440\"]\n  22 [size=\"157450240\", alpha=\"0.09\", expect_size=\"47235072\"] \n  22 -> 23 [size =\"47235072\"]\n  23 [size=\"84264960\", alpha=\"0.16\", expect_size=\"25279488\"] \n  23 -> 24 [size =\"25279488\"]\n  24 [size=\"100297387\", alpha=\"0.17\", expect_size=\"30089216\"] \n  24 -> 25 [size =\"30089216\"]\n  25 [size=\"111919787\", alpha=\"0.11\", expect_size=\"33575936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123082240\", alpha=\"0.07\", expect_size=\"49232896\"] \n  1 -> 10 [size =\"49232896\"]\n  1 -> 12 [size =\"49232896\"]\n  1 -> 16 [size =\"49232896\"]\n  2 [size=\"39987200\", alpha=\"0.16\", expect_size=\"15994880\"] \n  2 -> 10 [size =\"15994880\"]\n  2 -> 12 [size =\"15994880\"]\n  3 [size=\"69716480\", alpha=\"0.08\", expect_size=\"27886592\"] \n  3 -> 12 [size =\"27886592\"]\n  3 -> 17 [size =\"27886592\"]\n  4 [size=\"51182080\", alpha=\"0.01\", expect_size=\"20472832\"] \n  4 -> 13 [size =\"20472832\"]\n  4 -> 17 [size =\"20472832\"]\n  5 [size=\"28858880\", alpha=\"0.14\", expect_size=\"11543552\"] \n  5 -> 16 [size =\"11543552\"]\n  5 -> 17 [size =\"11543552\"]\n  6 [size=\"112181760\", alpha=\"0.16\", expect_size=\"44872704\"] \n  6 -> 9 [size =\"44872704\"]\n  6 -> 10 [size =\"44872704\"]\n  6 -> 11 [size =\"44872704\"]\n  6 -> 12 [size =\"44872704\"]\n  6 -> 13 [size =\"44872704\"]\n  6 -> 16 [size =\"44872704\"]\n  7 [size=\"83182080\", alpha=\"0.20\", expect_size=\"33272832\"] \n  7 -> 13 [size =\"33272832\"]\n  7 -> 14 [size =\"33272832\"]\n  7 -> 16 [size =\"33272832\"]\n  7 -> 17 [size =\"33272832\"]\n  8 [size=\"94233600\", alpha=\"0.12\", expect_size=\"37693440\"] \n  8 -> 11 [size =\"37693440\"]\n  8 -> 13 [size =\"37693440\"]\n  8 -> 14 [size =\"37693440\"]\n  8 -> 15 [size =\"37693440\"]\n  9 [size=\"122618880\", alpha=\"0.04\", expect_size=\"49047552\"] \n  9 -> 21 [size =\"49047552\"]\n  10 [size=\"114682880\", alpha=\"0.01\", expect_size=\"45873152\"] \n  10 -> 20 [size =\"45873152\"]\n  10 -> 24 [size =\"45873152\"]\n  10 -> 25 [size =\"45873152\"]\n  11 [size=\"46574080\", alpha=\"0.16\", expect_size=\"18629632\"] \n  11 -> 18 [size =\"18629632\"]\n  11 -> 20 [size =\"18629632\"]\n  12 [size=\"90209280\", alpha=\"0.20\", expect_size=\"36083712\"] \n  12 -> 22 [size =\"36083712\"]\n  12 -> 25 [size =\"36083712\"]\n  13 [size=\"68851200\", alpha=\"0.04\", expect_size=\"27540480\"] \n  13 -> 19 [size =\"27540480\"]\n  13 -> 20 [size =\"27540480\"]\n  13 -> 24 [size =\"27540480\"]\n  13 -> 25 [size =\"27540480\"]\n  14 [size=\"116129280\", alpha=\"0.17\", expect_size=\"46451712\"] \n  14 -> 19 [size =\"46451712\"]\n  14 -> 20 [size =\"46451712\"]\n  14 -> 24 [size =\"46451712\"]\n  15 [size=\"121656320\", alpha=\"0.09\", expect_size=\"48662528\"] \n  15 -> 18 [size =\"48662528\"]\n  15 -> 22 [size =\"48662528\"]\n  15 -> 23 [size =\"48662528\"]\n  15 -> 24 [size =\"48662528\"]\n  16 [size=\"88604160\", alpha=\"0.02\", expect_size=\"35441664\"] \n  16 -> 18 [size =\"35441664\"]\n  16 -> 24 [size =\"35441664\"]\n  16 -> 25 [size =\"35441664\"]\n  17 [size=\"66800640\", alpha=\"0.16\", expect_size=\"26720256\"] \n  17 -> 18 [size =\"26720256\"]\n  17 -> 19 [size =\"26720256\"]\n  17 -> 25 [size =\"26720256\"]\n  18 [size=\"65937920\", alpha=\"0.11\", expect_size=\"26375168\"] \n  19 [size=\"20321280\", alpha=\"0.16\", expect_size=\"8128512\"] \n  20 [size=\"42644480\", alpha=\"0.02\", expect_size=\"17057792\"] \n  21 [size=\"46371840\", alpha=\"0.07\", expect_size=\"18548736\"] \n  22 [size=\"23613440\", alpha=\"0.17\", expect_size=\"9445376\"] \n  23 [size=\"21798400\", alpha=\"0.17\", expect_size=\"8719360\"] \n  24 [size=\"45795840\", alpha=\"0.02\", expect_size=\"18318336\"] \n  25 [size=\"28398080\", alpha=\"0.11\", expect_size=\"11359232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93907627\", alpha=\"0.18\", expect_size=\"28172288\"] \n  1 -> 7 [size =\"28172288\"]\n  2 [size=\"59385173\", alpha=\"0.10\", expect_size=\"17815552\"] \n  2 -> 6 [size =\"17815552\"]\n  3 [size=\"134461440\", alpha=\"0.17\", expect_size=\"40338432\"] \n  3 -> 6 [size =\"40338432\"]\n  4 [size=\"28808533\", alpha=\"0.11\", expect_size=\"8642560\"] \n  5 [size=\"64354987\", alpha=\"0.17\", expect_size=\"19306496\"] \n  5 -> 6 [size =\"19306496\"]\n  5 -> 8 [size =\"19306496\"]\n  6 [size=\"121354240\", alpha=\"0.11\", expect_size=\"36406272\"] \n  6 -> 9 [size =\"36406272\"]\n  6 -> 11 [size =\"36406272\"]\n  7 [size=\"68990293\", alpha=\"0.01\", expect_size=\"20697088\"] \n  8 [size=\"114339840\", alpha=\"0.00\", expect_size=\"34301952\"] \n  8 -> 9 [size =\"34301952\"]\n  8 -> 10 [size =\"34301952\"]\n  8 -> 11 [size =\"34301952\"]\n  9 [size=\"28194133\", alpha=\"0.07\", expect_size=\"8458240\"] \n  9 -> 12 [size =\"8458240\"]\n  10 [size=\"85073920\", alpha=\"0.07\", expect_size=\"25522176\"] \n  10 -> 13 [size =\"25522176\"]\n  11 [size=\"21780480\", alpha=\"0.12\", expect_size=\"6534144\"] \n  11 -> 14 [size =\"6534144\"]\n  12 [size=\"163512320\", alpha=\"0.05\", expect_size=\"49053696\"] \n  12 -> 16 [size =\"49053696\"]\n  12 -> 17 [size =\"49053696\"]\n  13 [size=\"84725760\", alpha=\"0.08\", expect_size=\"25417728\"] \n  13 -> 15 [size =\"25417728\"]\n  14 [size=\"58221227\", alpha=\"0.19\", expect_size=\"17466368\"] \n  15 [size=\"142779733\", alpha=\"0.18\", expect_size=\"42833920\"] \n  15 -> 18 [size =\"42833920\"]\n  15 -> 21 [size =\"42833920\"]\n  16 [size=\"119149227\", alpha=\"0.15\", expect_size=\"35744768\"] \n  16 -> 19 [size =\"35744768\"]\n  17 [size=\"46571520\", alpha=\"0.04\", expect_size=\"13971456\"] \n  17 -> 18 [size =\"13971456\"]\n  17 -> 20 [size =\"13971456\"]\n  17 -> 21 [size =\"13971456\"]\n  18 [size=\"55476907\", alpha=\"0.05\", expect_size=\"16643072\"] \n  18 -> 23 [size =\"16643072\"]\n  19 [size=\"59139413\", alpha=\"0.07\", expect_size=\"17741824\"] \n  19 -> 22 [size =\"17741824\"]\n  20 [size=\"116066987\", alpha=\"0.05\", expect_size=\"34820096\"] \n  21 [size=\"174267733\", alpha=\"0.14\", expect_size=\"52280320\"] \n  21 -> 22 [size =\"52280320\"]\n  21 -> 23 [size =\"52280320\"]\n  22 [size=\"108721493\", alpha=\"0.07\", expect_size=\"32616448\"] \n  22 -> 24 [size =\"32616448\"]\n  23 [size=\"148264960\", alpha=\"0.15\", expect_size=\"44479488\"] \n  23 -> 25 [size =\"44479488\"]\n  24 [size=\"55657813\", alpha=\"0.05\", expect_size=\"16697344\"] \n  25 [size=\"44711253\", alpha=\"0.01\", expect_size=\"13413376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41282560\", alpha=\"0.19\", expect_size=\"16513024\"] \n  1 -> 2 [size =\"16513024\"]\n  1 -> 3 [size =\"16513024\"]\n  2 [size=\"66030080\", alpha=\"0.13\", expect_size=\"26412032\"] \n  2 -> 4 [size =\"26412032\"]\n  3 [size=\"98229760\", alpha=\"0.03\", expect_size=\"39291904\"] \n  4 [size=\"74096640\", alpha=\"0.18\", expect_size=\"29638656\"] \n  4 -> 5 [size =\"29638656\"]\n  5 [size=\"107256320\", alpha=\"0.04\", expect_size=\"42902528\"] \n  5 -> 6 [size =\"42902528\"]\n  6 [size=\"67727360\", alpha=\"0.06\", expect_size=\"27090944\"] \n  6 -> 7 [size =\"27090944\"]\n  6 -> 8 [size =\"27090944\"]\n  7 [size=\"84152320\", alpha=\"0.04\", expect_size=\"33660928\"] \n  8 [size=\"56128000\", alpha=\"0.17\", expect_size=\"22451200\"] \n  8 -> 9 [size =\"22451200\"]\n  8 -> 10 [size =\"22451200\"]\n  9 [size=\"24458240\", alpha=\"0.20\", expect_size=\"9783296\"] \n  9 -> 11 [size =\"9783296\"]\n  9 -> 12 [size =\"9783296\"]\n  10 [size=\"53383680\", alpha=\"0.01\", expect_size=\"21353472\"] \n  11 [size=\"48665600\", alpha=\"0.15\", expect_size=\"19466240\"] \n  12 [size=\"41400320\", alpha=\"0.19\", expect_size=\"16560128\"] \n  12 -> 13 [size =\"16560128\"]\n  12 -> 14 [size =\"16560128\"]\n  13 [size=\"115179520\", alpha=\"0.11\", expect_size=\"46071808\"] \n  14 [size=\"15480320\", alpha=\"0.17\", expect_size=\"6192128\"] \n  14 -> 15 [size =\"6192128\"]\n  14 -> 16 [size =\"6192128\"]\n  15 [size=\"123893760\", alpha=\"0.09\", expect_size=\"49557504\"] \n  15 -> 17 [size =\"49557504\"]\n  15 -> 18 [size =\"49557504\"]\n  16 [size=\"30556160\", alpha=\"0.01\", expect_size=\"12222464\"] \n  16 -> 18 [size =\"12222464\"]\n  17 [size=\"63201280\", alpha=\"0.09\", expect_size=\"25280512\"] \n  17 -> 19 [size =\"25280512\"]\n  17 -> 20 [size =\"25280512\"]\n  18 [size=\"89297920\", alpha=\"0.15\", expect_size=\"35719168\"] \n  18 -> 19 [size =\"35719168\"]\n  19 [size=\"73251840\", alpha=\"0.16\", expect_size=\"29300736\"] \n  19 -> 21 [size =\"29300736\"]\n  20 [size=\"71086080\", alpha=\"0.17\", expect_size=\"28434432\"] \n  20 -> 21 [size =\"28434432\"]\n  21 [size=\"74060800\", alpha=\"0.03\", expect_size=\"29624320\"] \n  21 -> 22 [size =\"29624320\"]\n  22 [size=\"43463680\", alpha=\"0.19\", expect_size=\"17385472\"] \n  22 -> 23 [size =\"17385472\"]\n  23 [size=\"35228160\", alpha=\"0.08\", expect_size=\"14091264\"] \n  23 -> 24 [size =\"14091264\"]\n  24 [size=\"101493760\", alpha=\"0.08\", expect_size=\"40597504\"] \n  24 -> 25 [size =\"40597504\"]\n  25 [size=\"85317120\", alpha=\"0.04\", expect_size=\"34126848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139762347\", alpha=\"0.05\", expect_size=\"41928704\"] \n  1 -> 2 [size =\"41928704\"]\n  1 -> 3 [size =\"41928704\"]\n  2 [size=\"112602453\", alpha=\"0.01\", expect_size=\"33780736\"] \n  2 -> 4 [size =\"33780736\"]\n  3 [size=\"171100160\", alpha=\"0.12\", expect_size=\"51330048\"] \n  3 -> 4 [size =\"51330048\"]\n  4 [size=\"167045120\", alpha=\"0.02\", expect_size=\"50113536\"] \n  4 -> 5 [size =\"50113536\"]\n  5 [size=\"86958080\", alpha=\"0.02\", expect_size=\"26087424\"] \n  5 -> 6 [size =\"26087424\"]\n  5 -> 7 [size =\"26087424\"]\n  6 [size=\"85814613\", alpha=\"0.07\", expect_size=\"25744384\"] \n  6 -> 8 [size =\"25744384\"]\n  7 [size=\"165877760\", alpha=\"0.10\", expect_size=\"49763328\"] \n  8 [size=\"142964053\", alpha=\"0.06\", expect_size=\"42889216\"] \n  8 -> 9 [size =\"42889216\"]\n  9 [size=\"104028160\", alpha=\"0.15\", expect_size=\"31208448\"] \n  9 -> 10 [size =\"31208448\"]\n  9 -> 11 [size =\"31208448\"]\n  10 [size=\"80575147\", alpha=\"0.14\", expect_size=\"24172544\"] \n  10 -> 12 [size =\"24172544\"]\n  10 -> 13 [size =\"24172544\"]\n  11 [size=\"131788800\", alpha=\"0.16\", expect_size=\"39536640\"] \n  11 -> 12 [size =\"39536640\"]\n  11 -> 13 [size =\"39536640\"]\n  12 [size=\"173455360\", alpha=\"0.03\", expect_size=\"52036608\"] \n  12 -> 14 [size =\"52036608\"]\n  12 -> 15 [size =\"52036608\"]\n  13 [size=\"21585920\", alpha=\"0.05\", expect_size=\"6475776\"] \n  13 -> 14 [size =\"6475776\"]\n  13 -> 15 [size =\"6475776\"]\n  14 [size=\"118729387\", alpha=\"0.09\", expect_size=\"35618816\"] \n  14 -> 16 [size =\"35618816\"]\n  14 -> 17 [size =\"35618816\"]\n  15 [size=\"135929173\", alpha=\"0.05\", expect_size=\"40778752\"] \n  15 -> 16 [size =\"40778752\"]\n  15 -> 17 [size =\"40778752\"]\n  16 [size=\"154381653\", alpha=\"0.04\", expect_size=\"46314496\"] \n  16 -> 18 [size =\"46314496\"]\n  17 [size=\"48619520\", alpha=\"0.09\", expect_size=\"14585856\"] \n  17 -> 18 [size =\"14585856\"]\n  18 [size=\"126771200\", alpha=\"0.04\", expect_size=\"38031360\"] \n  18 -> 19 [size =\"38031360\"]\n  19 [size=\"18674347\", alpha=\"0.20\", expect_size=\"5602304\"] \n  19 -> 20 [size =\"5602304\"]\n  19 -> 21 [size =\"5602304\"]\n  20 [size=\"134748160\", alpha=\"0.16\", expect_size=\"40424448\"] \n  20 -> 22 [size =\"40424448\"]\n  21 [size=\"88712533\", alpha=\"0.08\", expect_size=\"26613760\"] \n  21 -> 22 [size =\"26613760\"]\n  22 [size=\"60033707\", alpha=\"0.12\", expect_size=\"18010112\"] \n  22 -> 23 [size =\"18010112\"]\n  22 -> 24 [size =\"18010112\"]\n  23 [size=\"79947093\", alpha=\"0.16\", expect_size=\"23984128\"] \n  23 -> 25 [size =\"23984128\"]\n  24 [size=\"116309333\", alpha=\"0.18\", expect_size=\"34892800\"] \n  25 [size=\"28330667\", alpha=\"0.10\", expect_size=\"8499200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155682133\", alpha=\"0.18\", expect_size=\"46704640\"] \n  1 -> 12 [size =\"46704640\"]\n  2 [size=\"166311253\", alpha=\"0.10\", expect_size=\"49893376\"] \n  2 -> 10 [size =\"49893376\"]\n  2 -> 11 [size =\"49893376\"]\n  2 -> 12 [size =\"49893376\"]\n  2 -> 14 [size =\"49893376\"]\n  3 [size=\"60514987\", alpha=\"0.05\", expect_size=\"18154496\"] \n  3 -> 9 [size =\"18154496\"]\n  3 -> 11 [size =\"18154496\"]\n  3 -> 12 [size =\"18154496\"]\n  4 [size=\"89371307\", alpha=\"0.18\", expect_size=\"26811392\"] \n  4 -> 9 [size =\"26811392\"]\n  4 -> 10 [size =\"26811392\"]\n  4 -> 11 [size =\"26811392\"]\n  4 -> 15 [size =\"26811392\"]\n  5 [size=\"47670613\", alpha=\"0.20\", expect_size=\"14301184\"] \n  5 -> 13 [size =\"14301184\"]\n  5 -> 14 [size =\"14301184\"]\n  6 [size=\"31982933\", alpha=\"0.18\", expect_size=\"9594880\"] \n  6 -> 9 [size =\"9594880\"]\n  6 -> 11 [size =\"9594880\"]\n  6 -> 14 [size =\"9594880\"]\n  6 -> 15 [size =\"9594880\"]\n  7 [size=\"87354027\", alpha=\"0.01\", expect_size=\"26206208\"] \n  7 -> 8 [size =\"26206208\"]\n  7 -> 14 [size =\"26206208\"]\n  8 [size=\"108861440\", alpha=\"0.12\", expect_size=\"32658432\"] \n  8 -> 18 [size =\"32658432\"]\n  8 -> 20 [size =\"32658432\"]\n  9 [size=\"64631467\", alpha=\"0.11\", expect_size=\"19389440\"] \n  9 -> 19 [size =\"19389440\"]\n  10 [size=\"100068693\", alpha=\"0.16\", expect_size=\"30020608\"] \n  10 -> 18 [size =\"30020608\"]\n  10 -> 22 [size =\"30020608\"]\n  11 [size=\"155279360\", alpha=\"0.20\", expect_size=\"46583808\"] \n  12 [size=\"138280960\", alpha=\"0.13\", expect_size=\"41484288\"] \n  12 -> 16 [size =\"41484288\"]\n  12 -> 17 [size =\"41484288\"]\n  12 -> 19 [size =\"41484288\"]\n  12 -> 21 [size =\"41484288\"]\n  12 -> 22 [size =\"41484288\"]\n  13 [size=\"57395200\", alpha=\"0.00\", expect_size=\"17218560\"] \n  13 -> 16 [size =\"17218560\"]\n  13 -> 20 [size =\"17218560\"]\n  14 [size=\"93313707\", alpha=\"0.10\", expect_size=\"27994112\"] \n  14 -> 17 [size =\"27994112\"]\n  14 -> 18 [size =\"27994112\"]\n  15 [size=\"75874987\", alpha=\"0.07\", expect_size=\"22762496\"] \n  15 -> 17 [size =\"22762496\"]\n  15 -> 21 [size =\"22762496\"]\n  15 -> 22 [size =\"22762496\"]\n  16 [size=\"75451733\", alpha=\"0.02\", expect_size=\"22635520\"] \n  16 -> 23 [size =\"22635520\"]\n  16 -> 24 [size =\"22635520\"]\n  17 [size=\"62552747\", alpha=\"0.06\", expect_size=\"18765824\"] \n  17 -> 23 [size =\"18765824\"]\n  17 -> 24 [size =\"18765824\"]\n  18 [size=\"72686933\", alpha=\"0.03\", expect_size=\"21806080\"] \n  18 -> 23 [size =\"21806080\"]\n  19 [size=\"167239680\", alpha=\"0.05\", expect_size=\"50171904\"] \n  20 [size=\"97689600\", alpha=\"0.13\", expect_size=\"29306880\"] \n  21 [size=\"65781760\", alpha=\"0.18\", expect_size=\"19734528\"] \n  21 -> 24 [size =\"19734528\"]\n  22 [size=\"64689493\", alpha=\"0.03\", expect_size=\"19406848\"] \n  22 -> 24 [size =\"19406848\"]\n  22 -> 25 [size =\"19406848\"]\n  23 [size=\"166335147\", alpha=\"0.13\", expect_size=\"49900544\"] \n  24 [size=\"169478827\", alpha=\"0.12\", expect_size=\"50843648\"] \n  25 [size=\"93716480\", alpha=\"0.14\", expect_size=\"28114944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116736000\", alpha=\"0.18\", expect_size=\"46694400\"] \n  1 -> 2 [size =\"46694400\"]\n  2 [size=\"15418880\", alpha=\"0.09\", expect_size=\"6167552\"] \n  2 -> 3 [size =\"6167552\"]\n  3 [size=\"14842880\", alpha=\"0.05\", expect_size=\"5937152\"] \n  3 -> 4 [size =\"5937152\"]\n  4 [size=\"69803520\", alpha=\"0.04\", expect_size=\"27921408\"] \n  4 -> 5 [size =\"27921408\"]\n  5 [size=\"104527360\", alpha=\"0.06\", expect_size=\"41810944\"] \n  5 -> 6 [size =\"41810944\"]\n  5 -> 7 [size =\"41810944\"]\n  6 [size=\"26716160\", alpha=\"0.11\", expect_size=\"10686464\"] \n  6 -> 8 [size =\"10686464\"]\n  7 [size=\"101306880\", alpha=\"0.12\", expect_size=\"40522752\"] \n  7 -> 8 [size =\"40522752\"]\n  7 -> 9 [size =\"40522752\"]\n  8 [size=\"13749760\", alpha=\"0.08\", expect_size=\"5499904\"] \n  8 -> 10 [size =\"5499904\"]\n  9 [size=\"95114240\", alpha=\"0.19\", expect_size=\"38045696\"] \n  9 -> 10 [size =\"38045696\"]\n  10 [size=\"32842240\", alpha=\"0.10\", expect_size=\"13136896\"] \n  10 -> 11 [size =\"13136896\"]\n  11 [size=\"130132480\", alpha=\"0.18\", expect_size=\"52052992\"] \n  11 -> 12 [size =\"52052992\"]\n  11 -> 13 [size =\"52052992\"]\n  12 [size=\"116311040\", alpha=\"0.15\", expect_size=\"46524416\"] \n  12 -> 14 [size =\"46524416\"]\n  12 -> 15 [size =\"46524416\"]\n  13 [size=\"51194880\", alpha=\"0.05\", expect_size=\"20477952\"] \n  13 -> 15 [size =\"20477952\"]\n  14 [size=\"83624960\", alpha=\"0.05\", expect_size=\"33449984\"] \n  14 -> 16 [size =\"33449984\"]\n  14 -> 17 [size =\"33449984\"]\n  15 [size=\"104849920\", alpha=\"0.13\", expect_size=\"41939968\"] \n  15 -> 16 [size =\"41939968\"]\n  15 -> 17 [size =\"41939968\"]\n  16 [size=\"24952320\", alpha=\"0.11\", expect_size=\"9980928\"] \n  17 [size=\"91658240\", alpha=\"0.02\", expect_size=\"36663296\"] \n  17 -> 18 [size =\"36663296\"]\n  18 [size=\"44160000\", alpha=\"0.05\", expect_size=\"17664000\"] \n  18 -> 19 [size =\"17664000\"]\n  18 -> 20 [size =\"17664000\"]\n  19 [size=\"89582080\", alpha=\"0.09\", expect_size=\"35832832\"] \n  19 -> 21 [size =\"35832832\"]\n  20 [size=\"82536960\", alpha=\"0.19\", expect_size=\"33014784\"] \n  20 -> 21 [size =\"33014784\"]\n  21 [size=\"22323200\", alpha=\"0.07\", expect_size=\"8929280\"] \n  21 -> 22 [size =\"8929280\"]\n  22 [size=\"128371200\", alpha=\"0.15\", expect_size=\"51348480\"] \n  22 -> 23 [size =\"51348480\"]\n  22 -> 24 [size =\"51348480\"]\n  23 [size=\"97907200\", alpha=\"0.03\", expect_size=\"39162880\"] \n  23 -> 25 [size =\"39162880\"]\n  24 [size=\"130176000\", alpha=\"0.01\", expect_size=\"52070400\"] \n  24 -> 25 [size =\"52070400\"]\n  25 [size=\"41664000\", alpha=\"0.15\", expect_size=\"16665600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34013867\", alpha=\"0.17\", expect_size=\"10204160\"] \n  1 -> 8 [size =\"10204160\"]\n  1 -> 11 [size =\"10204160\"]\n  1 -> 12 [size =\"10204160\"]\n  1 -> 13 [size =\"10204160\"]\n  1 -> 15 [size =\"10204160\"]\n  2 [size=\"35563520\", alpha=\"0.16\", expect_size=\"10669056\"] \n  2 -> 8 [size =\"10669056\"]\n  2 -> 12 [size =\"10669056\"]\n  2 -> 14 [size =\"10669056\"]\n  2 -> 15 [size =\"10669056\"]\n  2 -> 15 [size =\"10669056\"]\n  3 [size=\"143011840\", alpha=\"0.06\", expect_size=\"42903552\"] \n  3 -> 9 [size =\"42903552\"]\n  3 -> 10 [size =\"42903552\"]\n  3 -> 11 [size =\"42903552\"]\n  3 -> 15 [size =\"42903552\"]\n  4 [size=\"40837120\", alpha=\"0.14\", expect_size=\"12251136\"] \n  4 -> 9 [size =\"12251136\"]\n  4 -> 12 [size =\"12251136\"]\n  4 -> 13 [size =\"12251136\"]\n  5 [size=\"80397653\", alpha=\"0.15\", expect_size=\"24119296\"] \n  5 -> 9 [size =\"24119296\"]\n  5 -> 12 [size =\"24119296\"]\n  5 -> 13 [size =\"24119296\"]\n  5 -> 15 [size =\"24119296\"]\n  6 [size=\"130426880\", alpha=\"0.02\", expect_size=\"39128064\"] \n  6 -> 9 [size =\"39128064\"]\n  6 -> 11 [size =\"39128064\"]\n  6 -> 12 [size =\"39128064\"]\n  6 -> 13 [size =\"39128064\"]\n  6 -> 14 [size =\"39128064\"]\n  6 -> 15 [size =\"39128064\"]\n  7 [size=\"132362240\", alpha=\"0.09\", expect_size=\"39708672\"] \n  7 -> 11 [size =\"39708672\"]\n  7 -> 12 [size =\"39708672\"]\n  7 -> 13 [size =\"39708672\"]\n  7 -> 15 [size =\"39708672\"]\n  8 [size=\"169861120\", alpha=\"0.17\", expect_size=\"50958336\"] \n  8 -> 23 [size =\"50958336\"]\n  9 [size=\"117415253\", alpha=\"0.10\", expect_size=\"35224576\"] \n  9 -> 18 [size =\"35224576\"]\n  9 -> 22 [size =\"35224576\"]\n  9 -> 23 [size =\"35224576\"]\n  10 [size=\"141431467\", alpha=\"0.19\", expect_size=\"42429440\"] \n  10 -> 20 [size =\"42429440\"]\n  10 -> 23 [size =\"42429440\"]\n  10 -> 23 [size =\"42429440\"]\n  11 [size=\"82312533\", alpha=\"0.10\", expect_size=\"24693760\"] \n  11 -> 16 [size =\"24693760\"]\n  11 -> 18 [size =\"24693760\"]\n  11 -> 19 [size =\"24693760\"]\n  11 -> 20 [size =\"24693760\"]\n  11 -> 21 [size =\"24693760\"]\n  11 -> 23 [size =\"24693760\"]\n  12 [size=\"55152640\", alpha=\"0.07\", expect_size=\"16545792\"] \n  12 -> 17 [size =\"16545792\"]\n  12 -> 19 [size =\"16545792\"]\n  12 -> 20 [size =\"16545792\"]\n  12 -> 21 [size =\"16545792\"]\n  12 -> 22 [size =\"16545792\"]\n  12 -> 23 [size =\"16545792\"]\n  13 [size=\"25907200\", alpha=\"0.07\", expect_size=\"7772160\"] \n  13 -> 20 [size =\"7772160\"]\n  13 -> 21 [size =\"7772160\"]\n  13 -> 23 [size =\"7772160\"]\n  14 [size=\"76434773\", alpha=\"0.06\", expect_size=\"22930432\"] \n  14 -> 16 [size =\"22930432\"]\n  14 -> 18 [size =\"22930432\"]\n  14 -> 20 [size =\"22930432\"]\n  14 -> 21 [size =\"22930432\"]\n  14 -> 22 [size =\"22930432\"]\n  15 [size=\"31269547\", alpha=\"0.13\", expect_size=\"9380864\"] \n  15 -> 19 [size =\"9380864\"]\n  15 -> 21 [size =\"9380864\"]\n  16 [size=\"149640533\", alpha=\"0.04\", expect_size=\"44892160\"] \n  16 -> 24 [size =\"44892160\"]\n  16 -> 25 [size =\"44892160\"]\n  17 [size=\"167540053\", alpha=\"0.17\", expect_size=\"50262016\"] \n  17 -> 24 [size =\"50262016\"]\n  17 -> 25 [size =\"50262016\"]\n  18 [size=\"82203307\", alpha=\"0.11\", expect_size=\"24660992\"] \n  18 -> 24 [size =\"24660992\"]\n  18 -> 25 [size =\"24660992\"]\n  19 [size=\"59002880\", alpha=\"0.16\", expect_size=\"17700864\"] \n  19 -> 24 [size =\"17700864\"]\n  19 -> 25 [size =\"17700864\"]\n  20 [size=\"135256747\", alpha=\"0.11\", expect_size=\"40577024\"] \n  20 -> 25 [size =\"40577024\"]\n  21 [size=\"123733333\", alpha=\"0.08\", expect_size=\"37120000\"] \n  21 -> 24 [size =\"37120000\"]\n  21 -> 25 [size =\"37120000\"]\n  22 [size=\"44499627\", alpha=\"0.08\", expect_size=\"13349888\"] \n  23 [size=\"101079040\", alpha=\"0.03\", expect_size=\"30323712\"] \n  23 -> 24 [size =\"30323712\"]\n  24 [size=\"158788267\", alpha=\"0.02\", expect_size=\"47636480\"] \n  25 [size=\"50984960\", alpha=\"0.08\", expect_size=\"15295488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59450880\", alpha=\"0.11\", expect_size=\"23780352\"] \n  1 -> 2 [size =\"23780352\"]\n  1 -> 3 [size =\"23780352\"]\n  2 [size=\"34987520\", alpha=\"0.13\", expect_size=\"13995008\"] \n  2 -> 5 [size =\"13995008\"]\n  3 [size=\"124961280\", alpha=\"0.19\", expect_size=\"49984512\"] \n  3 -> 4 [size =\"49984512\"]\n  3 -> 5 [size =\"49984512\"]\n  4 [size=\"28751360\", alpha=\"0.17\", expect_size=\"11500544\"] \n  4 -> 6 [size =\"11500544\"]\n  4 -> 7 [size =\"11500544\"]\n  5 [size=\"67061760\", alpha=\"0.05\", expect_size=\"26824704\"] \n  6 [size=\"43363840\", alpha=\"0.00\", expect_size=\"17345536\"] \n  6 -> 8 [size =\"17345536\"]\n  7 [size=\"100413440\", alpha=\"0.02\", expect_size=\"40165376\"] \n  8 [size=\"126080000\", alpha=\"0.11\", expect_size=\"50432000\"] \n  8 -> 9 [size =\"50432000\"]\n  8 -> 10 [size =\"50432000\"]\n  9 [size=\"47290880\", alpha=\"0.04\", expect_size=\"18916352\"] \n  9 -> 11 [size =\"18916352\"]\n  10 [size=\"20167680\", alpha=\"0.07\", expect_size=\"8067072\"] \n  11 [size=\"112752640\", alpha=\"0.01\", expect_size=\"45101056\"] \n  11 -> 12 [size =\"45101056\"]\n  12 [size=\"61749760\", alpha=\"0.06\", expect_size=\"24699904\"] \n  12 -> 13 [size =\"24699904\"]\n  12 -> 14 [size =\"24699904\"]\n  13 [size=\"22456320\", alpha=\"0.14\", expect_size=\"8982528\"] \n  14 [size=\"18242560\", alpha=\"0.00\", expect_size=\"7297024\"] \n  14 -> 15 [size =\"7297024\"]\n  15 [size=\"120204800\", alpha=\"0.15\", expect_size=\"48081920\"] \n  15 -> 16 [size =\"48081920\"]\n  16 [size=\"30791680\", alpha=\"0.02\", expect_size=\"12316672\"] \n  16 -> 17 [size =\"12316672\"]\n  16 -> 18 [size =\"12316672\"]\n  17 [size=\"32704000\", alpha=\"0.18\", expect_size=\"13081600\"] \n  17 -> 19 [size =\"13081600\"]\n  17 -> 20 [size =\"13081600\"]\n  18 [size=\"41802240\", alpha=\"0.15\", expect_size=\"16720896\"] \n  18 -> 19 [size =\"16720896\"]\n  19 [size=\"109537280\", alpha=\"0.08\", expect_size=\"43814912\"] \n  19 -> 21 [size =\"43814912\"]\n  20 [size=\"16844800\", alpha=\"0.11\", expect_size=\"6737920\"] \n  20 -> 21 [size =\"6737920\"]\n  20 -> 22 [size =\"6737920\"]\n  21 [size=\"59952640\", alpha=\"0.01\", expect_size=\"23981056\"] \n  21 -> 23 [size =\"23981056\"]\n  22 [size=\"63147520\", alpha=\"0.15\", expect_size=\"25259008\"] \n  23 [size=\"95726080\", alpha=\"0.08\", expect_size=\"38290432\"] \n  23 -> 24 [size =\"38290432\"]\n  24 [size=\"63237120\", alpha=\"0.03\", expect_size=\"25294848\"] \n  24 -> 25 [size =\"25294848\"]\n  25 [size=\"63912960\", alpha=\"0.08\", expect_size=\"25565184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48635904\", alpha=\"0.03\", expect_size=\"24317952\"] \n  1 -> 2 [size =\"24317952\"]\n  2 [size=\"60186624\", alpha=\"0.09\", expect_size=\"30093312\"] \n  2 -> 3 [size =\"30093312\"]\n  3 [size=\"68620288\", alpha=\"0.12\", expect_size=\"34310144\"] \n  3 -> 4 [size =\"34310144\"]\n  4 [size=\"59947008\", alpha=\"0.01\", expect_size=\"29973504\"] \n  4 -> 5 [size =\"29973504\"]\n  5 [size=\"85925888\", alpha=\"0.13\", expect_size=\"42962944\"] \n  5 -> 6 [size =\"42962944\"]\n  6 [size=\"53559296\", alpha=\"0.16\", expect_size=\"26779648\"] \n  6 -> 7 [size =\"26779648\"]\n  7 [size=\"47063040\", alpha=\"0.05\", expect_size=\"23531520\"] \n  7 -> 8 [size =\"23531520\"]\n  8 [size=\"99586048\", alpha=\"0.13\", expect_size=\"49793024\"] \n  8 -> 9 [size =\"49793024\"]\n  9 [size=\"102539264\", alpha=\"0.19\", expect_size=\"51269632\"] \n  9 -> 10 [size =\"51269632\"]\n  10 [size=\"87189504\", alpha=\"0.02\", expect_size=\"43594752\"] \n  10 -> 11 [size =\"43594752\"]\n  11 [size=\"76171264\", alpha=\"0.13\", expect_size=\"38085632\"] \n  11 -> 12 [size =\"38085632\"]\n  12 [size=\"89661440\", alpha=\"0.04\", expect_size=\"44830720\"] \n  12 -> 13 [size =\"44830720\"]\n  13 [size=\"38553600\", alpha=\"0.18\", expect_size=\"19276800\"] \n  13 -> 14 [size =\"19276800\"]\n  14 [size=\"96342016\", alpha=\"0.08\", expect_size=\"48171008\"] \n  14 -> 15 [size =\"48171008\"]\n  15 [size=\"102656000\", alpha=\"0.05\", expect_size=\"51328000\"] \n  15 -> 16 [size =\"51328000\"]\n  16 [size=\"70072320\", alpha=\"0.18\", expect_size=\"35036160\"] \n  16 -> 17 [size =\"35036160\"]\n  17 [size=\"52391936\", alpha=\"0.09\", expect_size=\"26195968\"] \n  17 -> 18 [size =\"26195968\"]\n  18 [size=\"74188800\", alpha=\"0.02\", expect_size=\"37094400\"] \n  18 -> 19 [size =\"37094400\"]\n  19 [size=\"39995392\", alpha=\"0.13\", expect_size=\"19997696\"] \n  19 -> 20 [size =\"19997696\"]\n  20 [size=\"35350528\", alpha=\"0.06\", expect_size=\"17675264\"] \n  20 -> 21 [size =\"17675264\"]\n  21 [size=\"46807040\", alpha=\"0.06\", expect_size=\"23403520\"] \n  21 -> 22 [size =\"23403520\"]\n  22 [size=\"13828096\", alpha=\"0.17\", expect_size=\"6914048\"] \n  22 -> 23 [size =\"6914048\"]\n  23 [size=\"33533952\", alpha=\"0.20\", expect_size=\"16766976\"] \n  23 -> 24 [size =\"16766976\"]\n  24 [size=\"22966272\", alpha=\"0.13\", expect_size=\"11483136\"] \n  24 -> 25 [size =\"11483136\"]\n  25 [size=\"62005248\", alpha=\"0.03\", expect_size=\"31002624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162737493\", alpha=\"0.09\", expect_size=\"48821248\"] \n  1 -> 2 [size =\"48821248\"]\n  2 [size=\"167331840\", alpha=\"0.08\", expect_size=\"50199552\"] \n  2 -> 3 [size =\"50199552\"]\n  2 -> 4 [size =\"50199552\"]\n  3 [size=\"72642560\", alpha=\"0.19\", expect_size=\"21792768\"] \n  3 -> 5 [size =\"21792768\"]\n  4 [size=\"102987093\", alpha=\"0.14\", expect_size=\"30896128\"] \n  4 -> 5 [size =\"30896128\"]\n  5 [size=\"49223680\", alpha=\"0.03\", expect_size=\"14767104\"] \n  5 -> 6 [size =\"14767104\"]\n  5 -> 7 [size =\"14767104\"]\n  6 [size=\"168908800\", alpha=\"0.17\", expect_size=\"50672640\"] \n  6 -> 8 [size =\"50672640\"]\n  7 [size=\"74253653\", alpha=\"0.15\", expect_size=\"22276096\"] \n  7 -> 8 [size =\"22276096\"]\n  8 [size=\"27217920\", alpha=\"0.02\", expect_size=\"8165376\"] \n  8 -> 9 [size =\"8165376\"]\n  9 [size=\"103372800\", alpha=\"0.12\", expect_size=\"31011840\"] \n  9 -> 10 [size =\"31011840\"]\n  9 -> 11 [size =\"31011840\"]\n  10 [size=\"166956373\", alpha=\"0.02\", expect_size=\"50086912\"] \n  10 -> 12 [size =\"50086912\"]\n  10 -> 13 [size =\"50086912\"]\n  11 [size=\"157242027\", alpha=\"0.16\", expect_size=\"47172608\"] \n  11 -> 12 [size =\"47172608\"]\n  12 [size=\"72492373\", alpha=\"0.15\", expect_size=\"21747712\"] \n  12 -> 15 [size =\"21747712\"]\n  13 [size=\"138011307\", alpha=\"0.02\", expect_size=\"41403392\"] \n  13 -> 14 [size =\"41403392\"]\n  13 -> 15 [size =\"41403392\"]\n  14 [size=\"130587307\", alpha=\"0.07\", expect_size=\"39176192\"] \n  14 -> 16 [size =\"39176192\"]\n  15 [size=\"81930240\", alpha=\"0.17\", expect_size=\"24579072\"] \n  15 -> 16 [size =\"24579072\"]\n  16 [size=\"103680000\", alpha=\"0.09\", expect_size=\"31104000\"] \n  16 -> 17 [size =\"31104000\"]\n  17 [size=\"80657067\", alpha=\"0.10\", expect_size=\"24197120\"] \n  17 -> 18 [size =\"24197120\"]\n  18 [size=\"40731307\", alpha=\"0.09\", expect_size=\"12219392\"] \n  18 -> 19 [size =\"12219392\"]\n  19 [size=\"58050560\", alpha=\"0.11\", expect_size=\"17415168\"] \n  19 -> 20 [size =\"17415168\"]\n  20 [size=\"149319680\", alpha=\"0.04\", expect_size=\"44795904\"] \n  20 -> 21 [size =\"44795904\"]\n  21 [size=\"162416640\", alpha=\"0.15\", expect_size=\"48724992\"] \n  21 -> 22 [size =\"48724992\"]\n  21 -> 23 [size =\"48724992\"]\n  22 [size=\"129163947\", alpha=\"0.05\", expect_size=\"38749184\"] \n  22 -> 24 [size =\"38749184\"]\n  22 -> 25 [size =\"38749184\"]\n  23 [size=\"90678613\", alpha=\"0.02\", expect_size=\"27203584\"] \n  23 -> 24 [size =\"27203584\"]\n  23 -> 25 [size =\"27203584\"]\n  24 [size=\"110059520\", alpha=\"0.10\", expect_size=\"33017856\"] \n  25 [size=\"163764907\", alpha=\"0.02\", expect_size=\"49129472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114990080\", alpha=\"0.12\", expect_size=\"45996032\"] \n  1 -> 10 [size =\"45996032\"]\n  1 -> 11 [size =\"45996032\"]\n  1 -> 14 [size =\"45996032\"]\n  1 -> 15 [size =\"45996032\"]\n  1 -> 18 [size =\"45996032\"]\n  1 -> 20 [size =\"45996032\"]\n  1 -> 25 [size =\"45996032\"]\n  2 [size=\"52843520\", alpha=\"0.10\", expect_size=\"21137408\"] \n  2 -> 10 [size =\"21137408\"]\n  2 -> 11 [size =\"21137408\"]\n  2 -> 14 [size =\"21137408\"]\n  2 -> 16 [size =\"21137408\"]\n  2 -> 19 [size =\"21137408\"]\n  2 -> 21 [size =\"21137408\"]\n  2 -> 23 [size =\"21137408\"]\n  2 -> 24 [size =\"21137408\"]\n  3 [size=\"108480000\", alpha=\"0.08\", expect_size=\"43392000\"] \n  3 -> 16 [size =\"43392000\"]\n  3 -> 18 [size =\"43392000\"]\n  3 -> 20 [size =\"43392000\"]\n  3 -> 23 [size =\"43392000\"]\n  3 -> 25 [size =\"43392000\"]\n  4 [size=\"107944960\", alpha=\"0.11\", expect_size=\"43177984\"] \n  4 -> 10 [size =\"43177984\"]\n  4 -> 16 [size =\"43177984\"]\n  4 -> 19 [size =\"43177984\"]\n  4 -> 23 [size =\"43177984\"]\n  4 -> 24 [size =\"43177984\"]\n  5 [size=\"58265600\", alpha=\"0.07\", expect_size=\"23306240\"] \n  5 -> 10 [size =\"23306240\"]\n  5 -> 12 [size =\"23306240\"]\n  5 -> 13 [size =\"23306240\"]\n  5 -> 14 [size =\"23306240\"]\n  5 -> 16 [size =\"23306240\"]\n  5 -> 17 [size =\"23306240\"]\n  5 -> 24 [size =\"23306240\"]\n  6 [size=\"67532800\", alpha=\"0.00\", expect_size=\"27013120\"] \n  6 -> 12 [size =\"27013120\"]\n  6 -> 14 [size =\"27013120\"]\n  6 -> 16 [size =\"27013120\"]\n  6 -> 25 [size =\"27013120\"]\n  7 [size=\"83842560\", alpha=\"0.17\", expect_size=\"33537024\"] \n  7 -> 10 [size =\"33537024\"]\n  7 -> 18 [size =\"33537024\"]\n  7 -> 19 [size =\"33537024\"]\n  7 -> 22 [size =\"33537024\"]\n  7 -> 24 [size =\"33537024\"]\n  8 [size=\"89963520\", alpha=\"0.16\", expect_size=\"35985408\"] \n  8 -> 10 [size =\"35985408\"]\n  8 -> 12 [size =\"35985408\"]\n  8 -> 15 [size =\"35985408\"]\n  8 -> 16 [size =\"35985408\"]\n  8 -> 18 [size =\"35985408\"]\n  8 -> 19 [size =\"35985408\"]\n  8 -> 21 [size =\"35985408\"]\n  8 -> 22 [size =\"35985408\"]\n  8 -> 23 [size =\"35985408\"]\n  8 -> 24 [size =\"35985408\"]\n  9 [size=\"115010560\", alpha=\"0.18\", expect_size=\"46004224\"] \n  9 -> 10 [size =\"46004224\"]\n  9 -> 14 [size =\"46004224\"]\n  9 -> 15 [size =\"46004224\"]\n  9 -> 18 [size =\"46004224\"]\n  9 -> 19 [size =\"46004224\"]\n  9 -> 22 [size =\"46004224\"]\n  9 -> 23 [size =\"46004224\"]\n  9 -> 24 [size =\"46004224\"]\n  10 [size=\"108469760\", alpha=\"0.18\", expect_size=\"43387904\"] \n  11 [size=\"81584640\", alpha=\"0.02\", expect_size=\"32633856\"] \n  12 [size=\"32197120\", alpha=\"0.16\", expect_size=\"12878848\"] \n  13 [size=\"88837120\", alpha=\"0.16\", expect_size=\"35534848\"] \n  14 [size=\"15692800\", alpha=\"0.17\", expect_size=\"6277120\"] \n  15 [size=\"82949120\", alpha=\"0.05\", expect_size=\"33179648\"] \n  16 [size=\"125647360\", alpha=\"0.11\", expect_size=\"50258944\"] \n  17 [size=\"128453120\", alpha=\"0.02\", expect_size=\"51381248\"] \n  18 [size=\"112655360\", alpha=\"0.08\", expect_size=\"45062144\"] \n  19 [size=\"91289600\", alpha=\"0.17\", expect_size=\"36515840\"] \n  20 [size=\"78776320\", alpha=\"0.05\", expect_size=\"31510528\"] \n  21 [size=\"68917760\", alpha=\"0.11\", expect_size=\"27567104\"] \n  22 [size=\"81249280\", alpha=\"0.03\", expect_size=\"32499712\"] \n  23 [size=\"60413440\", alpha=\"0.12\", expect_size=\"24165376\"] \n  24 [size=\"39001600\", alpha=\"0.16\", expect_size=\"15600640\"] \n  25 [size=\"21803520\", alpha=\"0.09\", expect_size=\"8721408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25/random.25.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:40 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28536832\", alpha=\"0.05\", expect_size=\"14268416\"] \n  1 -> 2 [size =\"14268416\"]\n  1 -> 3 [size =\"14268416\"]\n  2 [size=\"25935872\", alpha=\"0.18\", expect_size=\"12967936\"] \n  2 -> 4 [size =\"12967936\"]\n  2 -> 5 [size =\"12967936\"]\n  3 [size=\"82413568\", alpha=\"0.16\", expect_size=\"41206784\"] \n  3 -> 5 [size =\"41206784\"]\n  4 [size=\"40456192\", alpha=\"0.19\", expect_size=\"20228096\"] \n  4 -> 6 [size =\"20228096\"]\n  4 -> 7 [size =\"20228096\"]\n  5 [size=\"72445952\", alpha=\"0.11\", expect_size=\"36222976\"] \n  5 -> 7 [size =\"36222976\"]\n  6 [size=\"69607424\", alpha=\"0.20\", expect_size=\"34803712\"] \n  6 -> 8 [size =\"34803712\"]\n  7 [size=\"96006144\", alpha=\"0.11\", expect_size=\"48003072\"] \n  7 -> 8 [size =\"48003072\"]\n  8 [size=\"41365504\", alpha=\"0.19\", expect_size=\"20682752\"] \n  8 -> 9 [size =\"20682752\"]\n  9 [size=\"100792320\", alpha=\"0.03\", expect_size=\"50396160\"] \n  9 -> 10 [size =\"50396160\"]\n  10 [size=\"41191424\", alpha=\"0.07\", expect_size=\"20595712\"] \n  10 -> 11 [size =\"20595712\"]\n  10 -> 12 [size =\"20595712\"]\n  11 [size=\"40523776\", alpha=\"0.14\", expect_size=\"20261888\"] \n  12 [size=\"63932416\", alpha=\"0.10\", expect_size=\"31966208\"] \n  12 -> 13 [size =\"31966208\"]\n  13 [size=\"54335488\", alpha=\"0.16\", expect_size=\"27167744\"] \n  13 -> 14 [size =\"27167744\"]\n  13 -> 15 [size =\"27167744\"]\n  14 [size=\"34410496\", alpha=\"0.17\", expect_size=\"17205248\"] \n  14 -> 16 [size =\"17205248\"]\n  15 [size=\"29001728\", alpha=\"0.04\", expect_size=\"14500864\"] \n  15 -> 16 [size =\"14500864\"]\n  16 [size=\"80173056\", alpha=\"0.07\", expect_size=\"40086528\"] \n  16 -> 17 [size =\"40086528\"]\n  16 -> 18 [size =\"40086528\"]\n  17 [size=\"79523840\", alpha=\"0.19\", expect_size=\"39761920\"] \n  17 -> 19 [size =\"39761920\"]\n  17 -> 20 [size =\"39761920\"]\n  18 [size=\"38477824\", alpha=\"0.04\", expect_size=\"19238912\"] \n  18 -> 19 [size =\"19238912\"]\n  18 -> 20 [size =\"19238912\"]\n  19 [size=\"35260416\", alpha=\"0.06\", expect_size=\"17630208\"] \n  19 -> 21 [size =\"17630208\"]\n  20 [size=\"48648192\", alpha=\"0.14\", expect_size=\"24324096\"] \n  20 -> 21 [size =\"24324096\"]\n  21 [size=\"83529728\", alpha=\"0.06\", expect_size=\"41764864\"] \n  21 -> 22 [size =\"41764864\"]\n  22 [size=\"57108480\", alpha=\"0.01\", expect_size=\"28554240\"] \n  22 -> 23 [size =\"28554240\"]\n  23 [size=\"103831552\", alpha=\"0.12\", expect_size=\"51915776\"] \n  23 -> 24 [size =\"51915776\"]\n  24 [size=\"82728960\", alpha=\"0.09\", expect_size=\"41364480\"] \n  24 -> 25 [size =\"41364480\"]\n  25 [size=\"69484544\", alpha=\"0.19\", expect_size=\"34742272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152309760\", alpha=\"0.09\", expect_size=\"45692928\"] \n  1 -> 11 [size =\"45692928\"]\n  1 -> 14 [size =\"45692928\"]\n  1 -> 15 [size =\"45692928\"]\n  1 -> 16 [size =\"45692928\"]\n  2 [size=\"52322987\", alpha=\"0.09\", expect_size=\"15696896\"] \n  2 -> 10 [size =\"15696896\"]\n  2 -> 11 [size =\"15696896\"]\n  2 -> 15 [size =\"15696896\"]\n  2 -> 16 [size =\"15696896\"]\n  3 [size=\"21435733\", alpha=\"0.18\", expect_size=\"6430720\"] \n  3 -> 10 [size =\"6430720\"]\n  3 -> 11 [size =\"6430720\"]\n  3 -> 12 [size =\"6430720\"]\n  3 -> 13 [size =\"6430720\"]\n  4 [size=\"127842987\", alpha=\"0.09\", expect_size=\"38352896\"] \n  4 -> 13 [size =\"38352896\"]\n  5 [size=\"151435947\", alpha=\"0.08\", expect_size=\"45430784\"] \n  5 -> 12 [size =\"45430784\"]\n  5 -> 13 [size =\"45430784\"]\n  5 -> 16 [size =\"45430784\"]\n  6 [size=\"62085120\", alpha=\"0.12\", expect_size=\"18625536\"] \n  6 -> 12 [size =\"18625536\"]\n  6 -> 16 [size =\"18625536\"]\n  6 -> 17 [size =\"18625536\"]\n  7 [size=\"128426667\", alpha=\"0.06\", expect_size=\"38528000\"] \n  7 -> 10 [size =\"38528000\"]\n  7 -> 12 [size =\"38528000\"]\n  7 -> 13 [size =\"38528000\"]\n  7 -> 14 [size =\"38528000\"]\n  7 -> 15 [size =\"38528000\"]\n  7 -> 17 [size =\"38528000\"]\n  8 [size=\"48629760\", alpha=\"0.15\", expect_size=\"14588928\"] \n  8 -> 10 [size =\"14588928\"]\n  8 -> 12 [size =\"14588928\"]\n  8 -> 14 [size =\"14588928\"]\n  8 -> 15 [size =\"14588928\"]\n  8 -> 17 [size =\"14588928\"]\n  9 [size=\"130600960\", alpha=\"0.18\", expect_size=\"39180288\"] \n  9 -> 10 [size =\"39180288\"]\n  9 -> 12 [size =\"39180288\"]\n  9 -> 13 [size =\"39180288\"]\n  9 -> 14 [size =\"39180288\"]\n  9 -> 16 [size =\"39180288\"]\n  10 [size=\"85097813\", alpha=\"0.20\", expect_size=\"25529344\"] \n  10 -> 22 [size =\"25529344\"]\n  10 -> 25 [size =\"25529344\"]\n  11 [size=\"31675733\", alpha=\"0.05\", expect_size=\"9502720\"] \n  11 -> 24 [size =\"9502720\"]\n  12 [size=\"104533333\", alpha=\"0.09\", expect_size=\"31360000\"] \n  12 -> 19 [size =\"31360000\"]\n  12 -> 23 [size =\"31360000\"]\n  12 -> 24 [size =\"31360000\"]\n  12 -> 25 [size =\"31360000\"]\n  13 [size=\"20855467\", alpha=\"0.08\", expect_size=\"6256640\"] \n  13 -> 19 [size =\"6256640\"]\n  13 -> 20 [size =\"6256640\"]\n  13 -> 24 [size =\"6256640\"]\n  14 [size=\"161805653\", alpha=\"0.18\", expect_size=\"48541696\"] \n  14 -> 19 [size =\"48541696\"]\n  14 -> 20 [size =\"48541696\"]\n  14 -> 21 [size =\"48541696\"]\n  15 [size=\"73803093\", alpha=\"0.07\", expect_size=\"22140928\"] \n  15 -> 20 [size =\"22140928\"]\n  15 -> 20 [size =\"22140928\"]\n  15 -> 23 [size =\"22140928\"]\n  15 -> 24 [size =\"22140928\"]\n  16 [size=\"139185493\", alpha=\"0.11\", expect_size=\"41755648\"] \n  16 -> 21 [size =\"41755648\"]\n  16 -> 23 [size =\"41755648\"]\n  16 -> 25 [size =\"41755648\"]\n  17 [size=\"75612160\", alpha=\"0.14\", expect_size=\"22683648\"] \n  17 -> 18 [size =\"22683648\"]\n  17 -> 19 [size =\"22683648\"]\n  17 -> 20 [size =\"22683648\"]\n  17 -> 22 [size =\"22683648\"]\n  17 -> 23 [size =\"22683648\"]\n  17 -> 24 [size =\"22683648\"]\n  17 -> 25 [size =\"22683648\"]\n  18 [size=\"123931307\", alpha=\"0.18\", expect_size=\"37179392\"] \n  19 [size=\"80885760\", alpha=\"0.03\", expect_size=\"24265728\"] \n  20 [size=\"62801920\", alpha=\"0.02\", expect_size=\"18840576\"] \n  21 [size=\"59791360\", alpha=\"0.19\", expect_size=\"17937408\"] \n  22 [size=\"96331093\", alpha=\"0.20\", expect_size=\"28899328\"] \n  23 [size=\"165133653\", alpha=\"0.01\", expect_size=\"49540096\"] \n  24 [size=\"72884907\", alpha=\"0.16\", expect_size=\"21865472\"] \n  25 [size=\"56855893\", alpha=\"0.09\", expect_size=\"17056768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65172480\", alpha=\"0.12\", expect_size=\"26068992\"] \n  1 -> 6 [size =\"26068992\"]\n  1 -> 8 [size =\"26068992\"]\n  1 -> 9 [size =\"26068992\"]\n  1 -> 10 [size =\"26068992\"]\n  2 [size=\"35732480\", alpha=\"0.14\", expect_size=\"14292992\"] \n  2 -> 10 [size =\"14292992\"]\n  3 [size=\"72212480\", alpha=\"0.09\", expect_size=\"28884992\"] \n  3 -> 7 [size =\"28884992\"]\n  3 -> 8 [size =\"28884992\"]\n  3 -> 9 [size =\"28884992\"]\n  4 [size=\"44615680\", alpha=\"0.19\", expect_size=\"17846272\"] \n  5 [size=\"32650240\", alpha=\"0.15\", expect_size=\"13060096\"] \n  5 -> 8 [size =\"13060096\"]\n  5 -> 9 [size =\"13060096\"]\n  6 [size=\"108536320\", alpha=\"0.01\", expect_size=\"43414528\"] \n  7 [size=\"31019520\", alpha=\"0.13\", expect_size=\"12407808\"] \n  7 -> 13 [size =\"12407808\"]\n  7 -> 14 [size =\"12407808\"]\n  8 [size=\"25420800\", alpha=\"0.10\", expect_size=\"10168320\"] \n  8 -> 11 [size =\"10168320\"]\n  8 -> 12 [size =\"10168320\"]\n  8 -> 14 [size =\"10168320\"]\n  8 -> 15 [size =\"10168320\"]\n  9 [size=\"90467840\", alpha=\"0.09\", expect_size=\"36187136\"] \n  9 -> 11 [size =\"36187136\"]\n  9 -> 14 [size =\"36187136\"]\n  10 [size=\"62799360\", alpha=\"0.11\", expect_size=\"25119744\"] \n  11 [size=\"110566400\", alpha=\"0.07\", expect_size=\"44226560\"] \n  11 -> 16 [size =\"44226560\"]\n  11 -> 17 [size =\"44226560\"]\n  12 [size=\"60951040\", alpha=\"0.17\", expect_size=\"24380416\"] \n  12 -> 16 [size =\"24380416\"]\n  12 -> 17 [size =\"24380416\"]\n  12 -> 18 [size =\"24380416\"]\n  13 [size=\"28021760\", alpha=\"0.19\", expect_size=\"11208704\"] \n  13 -> 17 [size =\"11208704\"]\n  13 -> 20 [size =\"11208704\"]\n  14 [size=\"78182400\", alpha=\"0.15\", expect_size=\"31272960\"] \n  14 -> 16 [size =\"31272960\"]\n  15 [size=\"71872000\", alpha=\"0.05\", expect_size=\"28748800\"] \n  15 -> 19 [size =\"28748800\"]\n  16 [size=\"41640960\", alpha=\"0.07\", expect_size=\"16656384\"] \n  16 -> 21 [size =\"16656384\"]\n  16 -> 22 [size =\"16656384\"]\n  17 [size=\"47976960\", alpha=\"0.10\", expect_size=\"19190784\"] \n  18 [size=\"124812800\", alpha=\"0.09\", expect_size=\"49925120\"] \n  19 [size=\"68144640\", alpha=\"0.06\", expect_size=\"27257856\"] \n  20 [size=\"120422400\", alpha=\"0.03\", expect_size=\"48168960\"] \n  20 -> 22 [size =\"48168960\"]\n  21 [size=\"69035520\", alpha=\"0.09\", expect_size=\"27614208\"] \n  21 -> 23 [size =\"27614208\"]\n  21 -> 24 [size =\"27614208\"]\n  21 -> 25 [size =\"27614208\"]\n  22 [size=\"111662080\", alpha=\"0.19\", expect_size=\"44664832\"] \n  23 [size=\"94929920\", alpha=\"0.19\", expect_size=\"37971968\"] \n  24 [size=\"88808960\", alpha=\"0.04\", expect_size=\"35523584\"] \n  25 [size=\"61798400\", alpha=\"0.13\", expect_size=\"24719360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33556480\", alpha=\"0.05\", expect_size=\"10066944\"] \n  1 -> 11 [size =\"10066944\"]\n  1 -> 15 [size =\"10066944\"]\n  2 [size=\"30204587\", alpha=\"0.03\", expect_size=\"9061376\"] \n  2 -> 10 [size =\"9061376\"]\n  2 -> 11 [size =\"9061376\"]\n  2 -> 12 [size =\"9061376\"]\n  2 -> 14 [size =\"9061376\"]\n  3 [size=\"129652053\", alpha=\"0.05\", expect_size=\"38895616\"] \n  3 -> 10 [size =\"38895616\"]\n  3 -> 11 [size =\"38895616\"]\n  4 [size=\"61484373\", alpha=\"0.07\", expect_size=\"18445312\"] \n  4 -> 10 [size =\"18445312\"]\n  4 -> 12 [size =\"18445312\"]\n  4 -> 13 [size =\"18445312\"]\n  4 -> 17 [size =\"18445312\"]\n  5 [size=\"96081920\", alpha=\"0.02\", expect_size=\"28824576\"] \n  5 -> 10 [size =\"28824576\"]\n  6 [size=\"130884267\", alpha=\"0.06\", expect_size=\"39265280\"] \n  6 -> 10 [size =\"39265280\"]\n  6 -> 11 [size =\"39265280\"]\n  6 -> 12 [size =\"39265280\"]\n  6 -> 15 [size =\"39265280\"]\n  7 [size=\"133222400\", alpha=\"0.09\", expect_size=\"39966720\"] \n  7 -> 15 [size =\"39966720\"]\n  7 -> 16 [size =\"39966720\"]\n  7 -> 17 [size =\"39966720\"]\n  8 [size=\"128382293\", alpha=\"0.12\", expect_size=\"38514688\"] \n  8 -> 11 [size =\"38514688\"]\n  8 -> 12 [size =\"38514688\"]\n  8 -> 17 [size =\"38514688\"]\n  9 [size=\"27900587\", alpha=\"0.07\", expect_size=\"8370176\"] \n  9 -> 15 [size =\"8370176\"]\n  9 -> 17 [size =\"8370176\"]\n  9 -> 17 [size =\"8370176\"]\n  10 [size=\"134297600\", alpha=\"0.11\", expect_size=\"40289280\"] \n  10 -> 18 [size =\"40289280\"]\n  10 -> 20 [size =\"40289280\"]\n  10 -> 21 [size =\"40289280\"]\n  10 -> 23 [size =\"40289280\"]\n  10 -> 24 [size =\"40289280\"]\n  11 [size=\"33798827\", alpha=\"0.11\", expect_size=\"10139648\"] \n  11 -> 18 [size =\"10139648\"]\n  11 -> 20 [size =\"10139648\"]\n  11 -> 23 [size =\"10139648\"]\n  11 -> 23 [size =\"10139648\"]\n  12 [size=\"72861013\", alpha=\"0.13\", expect_size=\"21858304\"] \n  13 [size=\"95426560\", alpha=\"0.02\", expect_size=\"28627968\"] \n  13 -> 19 [size =\"28627968\"]\n  13 -> 23 [size =\"28627968\"]\n  13 -> 24 [size =\"28627968\"]\n  14 [size=\"132584107\", alpha=\"0.07\", expect_size=\"39775232\"] \n  14 -> 20 [size =\"39775232\"]\n  14 -> 21 [size =\"39775232\"]\n  14 -> 22 [size =\"39775232\"]\n  14 -> 24 [size =\"39775232\"]\n  15 [size=\"29515093\", alpha=\"0.17\", expect_size=\"8854528\"] \n  15 -> 24 [size =\"8854528\"]\n  16 [size=\"48011947\", alpha=\"0.05\", expect_size=\"14403584\"] \n  16 -> 19 [size =\"14403584\"]\n  16 -> 22 [size =\"14403584\"]\n  16 -> 23 [size =\"14403584\"]\n  16 -> 24 [size =\"14403584\"]\n  17 [size=\"97706667\", alpha=\"0.07\", expect_size=\"29312000\"] \n  17 -> 23 [size =\"29312000\"]\n  18 [size=\"167526400\", alpha=\"0.16\", expect_size=\"50257920\"] \n  19 [size=\"106755413\", alpha=\"0.11\", expect_size=\"32026624\"] \n  20 [size=\"159924907\", alpha=\"0.14\", expect_size=\"47977472\"] \n  20 -> 25 [size =\"47977472\"]\n  21 [size=\"91422720\", alpha=\"0.19\", expect_size=\"27426816\"] \n  21 -> 25 [size =\"27426816\"]\n  22 [size=\"20336640\", alpha=\"0.06\", expect_size=\"6100992\"] \n  22 -> 25 [size =\"6100992\"]\n  23 [size=\"123054080\", alpha=\"0.07\", expect_size=\"36916224\"] \n  24 [size=\"138216107\", alpha=\"0.13\", expect_size=\"41464832\"] \n  24 -> 25 [size =\"41464832\"]\n  25 [size=\"32331093\", alpha=\"0.10\", expect_size=\"9699328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127964160\", alpha=\"0.04\", expect_size=\"51185664\"] \n  1 -> 6 [size =\"51185664\"]\n  1 -> 8 [size =\"51185664\"]\n  2 [size=\"109463040\", alpha=\"0.16\", expect_size=\"43785216\"] \n  2 -> 7 [size =\"43785216\"]\n  3 [size=\"77255680\", alpha=\"0.15\", expect_size=\"30902272\"] \n  3 -> 7 [size =\"30902272\"]\n  3 -> 8 [size =\"30902272\"]\n  4 [size=\"103961600\", alpha=\"0.11\", expect_size=\"41584640\"] \n  4 -> 6 [size =\"41584640\"]\n  4 -> 7 [size =\"41584640\"]\n  5 [size=\"73497600\", alpha=\"0.11\", expect_size=\"29399040\"] \n  5 -> 6 [size =\"29399040\"]\n  6 [size=\"123340800\", alpha=\"0.17\", expect_size=\"49336320\"] \n  6 -> 11 [size =\"49336320\"]\n  6 -> 12 [size =\"49336320\"]\n  7 [size=\"121146880\", alpha=\"0.18\", expect_size=\"48458752\"] \n  7 -> 9 [size =\"48458752\"]\n  7 -> 13 [size =\"48458752\"]\n  8 [size=\"15567360\", alpha=\"0.08\", expect_size=\"6226944\"] \n  8 -> 10 [size =\"6226944\"]\n  8 -> 11 [size =\"6226944\"]\n  9 [size=\"23800320\", alpha=\"0.13\", expect_size=\"9520128\"] \n  9 -> 15 [size =\"9520128\"]\n  9 -> 17 [size =\"9520128\"]\n  10 [size=\"122544640\", alpha=\"0.02\", expect_size=\"49017856\"] \n  10 -> 16 [size =\"49017856\"]\n  11 [size=\"114513920\", alpha=\"0.16\", expect_size=\"45805568\"] \n  11 -> 15 [size =\"45805568\"]\n  11 -> 16 [size =\"45805568\"]\n  12 [size=\"23011840\", alpha=\"0.01\", expect_size=\"9204736\"] \n  12 -> 14 [size =\"9204736\"]\n  12 -> 15 [size =\"9204736\"]\n  12 -> 16 [size =\"9204736\"]\n  12 -> 17 [size =\"9204736\"]\n  13 [size=\"114716160\", alpha=\"0.19\", expect_size=\"45886464\"] \n  13 -> 17 [size =\"45886464\"]\n  14 [size=\"82414080\", alpha=\"0.06\", expect_size=\"32965632\"] \n  14 -> 19 [size =\"32965632\"]\n  14 -> 20 [size =\"32965632\"]\n  15 [size=\"31226880\", alpha=\"0.17\", expect_size=\"12490752\"] \n  16 [size=\"98227200\", alpha=\"0.00\", expect_size=\"39290880\"] \n  16 -> 19 [size =\"39290880\"]\n  17 [size=\"80494080\", alpha=\"0.04\", expect_size=\"32197632\"] \n  17 -> 18 [size =\"32197632\"]\n  17 -> 19 [size =\"32197632\"]\n  18 [size=\"70661120\", alpha=\"0.19\", expect_size=\"28264448\"] \n  18 -> 21 [size =\"28264448\"]\n  18 -> 22 [size =\"28264448\"]\n  18 -> 25 [size =\"28264448\"]\n  19 [size=\"116718080\", alpha=\"0.13\", expect_size=\"46687232\"] \n  19 -> 23 [size =\"46687232\"]\n  20 [size=\"74859520\", alpha=\"0.16\", expect_size=\"29943808\"] \n  20 -> 21 [size =\"29943808\"]\n  20 -> 22 [size =\"29943808\"]\n  20 -> 23 [size =\"29943808\"]\n  20 -> 24 [size =\"29943808\"]\n  20 -> 25 [size =\"29943808\"]\n  21 [size=\"89274880\", alpha=\"0.19\", expect_size=\"35709952\"] \n  22 [size=\"65781760\", alpha=\"0.18\", expect_size=\"26312704\"] \n  23 [size=\"70702080\", alpha=\"0.08\", expect_size=\"28280832\"] \n  24 [size=\"63027200\", alpha=\"0.14\", expect_size=\"25210880\"] \n  25 [size=\"99486720\", alpha=\"0.09\", expect_size=\"39794688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93308928\", alpha=\"0.01\", expect_size=\"46654464\"] \n  1 -> 2 [size =\"46654464\"]\n  1 -> 3 [size =\"46654464\"]\n  2 [size=\"15923200\", alpha=\"0.07\", expect_size=\"7961600\"] \n  2 -> 4 [size =\"7961600\"]\n  2 -> 5 [size =\"7961600\"]\n  3 [size=\"23150592\", alpha=\"0.08\", expect_size=\"11575296\"] \n  3 -> 4 [size =\"11575296\"]\n  3 -> 5 [size =\"11575296\"]\n  4 [size=\"52934656\", alpha=\"0.16\", expect_size=\"26467328\"] \n  5 [size=\"63475712\", alpha=\"0.15\", expect_size=\"31737856\"] \n  5 -> 6 [size =\"31737856\"]\n  5 -> 7 [size =\"31737856\"]\n  6 [size=\"29837312\", alpha=\"0.03\", expect_size=\"14918656\"] \n  6 -> 8 [size =\"14918656\"]\n  7 [size=\"48232448\", alpha=\"0.09\", expect_size=\"24116224\"] \n  7 -> 8 [size =\"24116224\"]\n  8 [size=\"94029824\", alpha=\"0.01\", expect_size=\"47014912\"] \n  8 -> 9 [size =\"47014912\"]\n  9 [size=\"32249856\", alpha=\"0.05\", expect_size=\"16124928\"] \n  9 -> 10 [size =\"16124928\"]\n  10 [size=\"50012160\", alpha=\"0.17\", expect_size=\"25006080\"] \n  10 -> 11 [size =\"25006080\"]\n  10 -> 12 [size =\"25006080\"]\n  11 [size=\"40284160\", alpha=\"0.11\", expect_size=\"20142080\"] \n  11 -> 13 [size =\"20142080\"]\n  12 [size=\"44169216\", alpha=\"0.03\", expect_size=\"22084608\"] \n  12 -> 13 [size =\"22084608\"]\n  13 [size=\"79362048\", alpha=\"0.20\", expect_size=\"39681024\"] \n  13 -> 14 [size =\"39681024\"]\n  14 [size=\"23599104\", alpha=\"0.10\", expect_size=\"11799552\"] \n  14 -> 15 [size =\"11799552\"]\n  15 [size=\"100907008\", alpha=\"0.12\", expect_size=\"50453504\"] \n  15 -> 16 [size =\"50453504\"]\n  15 -> 17 [size =\"50453504\"]\n  16 [size=\"78301184\", alpha=\"0.00\", expect_size=\"39150592\"] \n  16 -> 18 [size =\"39150592\"]\n  17 [size=\"90822656\", alpha=\"0.04\", expect_size=\"45411328\"] \n  18 [size=\"40456192\", alpha=\"0.14\", expect_size=\"20228096\"] \n  18 -> 19 [size =\"20228096\"]\n  19 [size=\"46620672\", alpha=\"0.13\", expect_size=\"23310336\"] \n  19 -> 20 [size =\"23310336\"]\n  20 [size=\"72292352\", alpha=\"0.16\", expect_size=\"36146176\"] \n  20 -> 21 [size =\"36146176\"]\n  21 [size=\"59394048\", alpha=\"0.18\", expect_size=\"29697024\"] \n  21 -> 22 [size =\"29697024\"]\n  22 [size=\"18995200\", alpha=\"0.00\", expect_size=\"9497600\"] \n  22 -> 23 [size =\"9497600\"]\n  22 -> 24 [size =\"9497600\"]\n  23 [size=\"33984512\", alpha=\"0.05\", expect_size=\"16992256\"] \n  23 -> 25 [size =\"16992256\"]\n  24 [size=\"32935936\", alpha=\"0.19\", expect_size=\"16467968\"] \n  24 -> 25 [size =\"16467968\"]\n  25 [size=\"80084992\", alpha=\"0.05\", expect_size=\"40042496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113889280\", alpha=\"0.03\", expect_size=\"45555712\"] \n  1 -> 5 [size =\"45555712\"]\n  1 -> 6 [size =\"45555712\"]\n  1 -> 7 [size =\"45555712\"]\n  1 -> 8 [size =\"45555712\"]\n  2 [size=\"45391360\", alpha=\"0.13\", expect_size=\"18156544\"] \n  2 -> 6 [size =\"18156544\"]\n  2 -> 8 [size =\"18156544\"]\n  3 [size=\"24256000\", alpha=\"0.02\", expect_size=\"9702400\"] \n  3 -> 5 [size =\"9702400\"]\n  4 [size=\"83171840\", alpha=\"0.06\", expect_size=\"33268736\"] \n  4 -> 5 [size =\"33268736\"]\n  4 -> 6 [size =\"33268736\"]\n  5 [size=\"36357120\", alpha=\"0.03\", expect_size=\"14542848\"] \n  5 -> 11 [size =\"14542848\"]\n  6 [size=\"67174400\", alpha=\"0.06\", expect_size=\"26869760\"] \n  6 -> 9 [size =\"26869760\"]\n  6 -> 10 [size =\"26869760\"]\n  6 -> 11 [size =\"26869760\"]\n  7 [size=\"23372800\", alpha=\"0.06\", expect_size=\"9349120\"] \n  8 [size=\"87191040\", alpha=\"0.01\", expect_size=\"34876416\"] \n  8 -> 9 [size =\"34876416\"]\n  9 [size=\"66792960\", alpha=\"0.02\", expect_size=\"26717184\"] \n  10 [size=\"41085440\", alpha=\"0.18\", expect_size=\"16434176\"] \n  10 -> 12 [size =\"16434176\"]\n  10 -> 13 [size =\"16434176\"]\n  10 -> 14 [size =\"16434176\"]\n  11 [size=\"31045120\", alpha=\"0.17\", expect_size=\"12418048\"] \n  11 -> 12 [size =\"12418048\"]\n  11 -> 15 [size =\"12418048\"]\n  12 [size=\"48977920\", alpha=\"0.05\", expect_size=\"19591168\"] \n  12 -> 16 [size =\"19591168\"]\n  12 -> 17 [size =\"19591168\"]\n  13 [size=\"125040640\", alpha=\"0.09\", expect_size=\"50016256\"] \n  13 -> 19 [size =\"50016256\"]\n  14 [size=\"19287040\", alpha=\"0.01\", expect_size=\"7714816\"] \n  14 -> 18 [size =\"7714816\"]\n  15 [size=\"52144640\", alpha=\"0.18\", expect_size=\"20857856\"] \n  15 -> 18 [size =\"20857856\"]\n  16 [size=\"69104640\", alpha=\"0.04\", expect_size=\"27641856\"] \n  17 [size=\"107432960\", alpha=\"0.09\", expect_size=\"42973184\"] \n  17 -> 20 [size =\"42973184\"]\n  17 -> 22 [size =\"42973184\"]\n  17 -> 23 [size =\"42973184\"]\n  18 [size=\"23831040\", alpha=\"0.12\", expect_size=\"9532416\"] \n  18 -> 21 [size =\"9532416\"]\n  18 -> 22 [size =\"9532416\"]\n  19 [size=\"28595200\", alpha=\"0.12\", expect_size=\"11438080\"] \n  19 -> 20 [size =\"11438080\"]\n  20 [size=\"38561280\", alpha=\"0.07\", expect_size=\"15424512\"] \n  20 -> 25 [size =\"15424512\"]\n  21 [size=\"26219520\", alpha=\"0.19\", expect_size=\"10487808\"] \n  22 [size=\"124889600\", alpha=\"0.17\", expect_size=\"49955840\"] \n  22 -> 24 [size =\"49955840\"]\n  23 [size=\"37012480\", alpha=\"0.16\", expect_size=\"14804992\"] \n  24 [size=\"88926720\", alpha=\"0.07\", expect_size=\"35570688\"] \n  25 [size=\"95308800\", alpha=\"0.02\", expect_size=\"38123520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50796544\", alpha=\"0.05\", expect_size=\"25398272\"] \n  1 -> 11 [size =\"25398272\"]\n  1 -> 15 [size =\"25398272\"]\n  2 [size=\"23951360\", alpha=\"0.11\", expect_size=\"11975680\"] \n  2 -> 11 [size =\"11975680\"]\n  2 -> 15 [size =\"11975680\"]\n  2 -> 17 [size =\"11975680\"]\n  2 -> 19 [size =\"11975680\"]\n  3 [size=\"88643584\", alpha=\"0.15\", expect_size=\"44321792\"] \n  3 -> 11 [size =\"44321792\"]\n  3 -> 17 [size =\"44321792\"]\n  3 -> 19 [size =\"44321792\"]\n  4 [size=\"53469184\", alpha=\"0.04\", expect_size=\"26734592\"] \n  4 -> 10 [size =\"26734592\"]\n  4 -> 11 [size =\"26734592\"]\n  5 [size=\"13537280\", alpha=\"0.13\", expect_size=\"6768640\"] \n  5 -> 16 [size =\"6768640\"]\n  5 -> 19 [size =\"6768640\"]\n  6 [size=\"74311680\", alpha=\"0.00\", expect_size=\"37155840\"] \n  6 -> 18 [size =\"37155840\"]\n  6 -> 19 [size =\"37155840\"]\n  7 [size=\"35557376\", alpha=\"0.12\", expect_size=\"17778688\"] \n  7 -> 10 [size =\"17778688\"]\n  7 -> 14 [size =\"17778688\"]\n  7 -> 18 [size =\"17778688\"]\n  8 [size=\"85981184\", alpha=\"0.14\", expect_size=\"42990592\"] \n  8 -> 12 [size =\"42990592\"]\n  8 -> 13 [size =\"42990592\"]\n  9 [size=\"76642304\", alpha=\"0.05\", expect_size=\"38321152\"] \n  9 -> 10 [size =\"38321152\"]\n  9 -> 15 [size =\"38321152\"]\n  9 -> 16 [size =\"38321152\"]\n  9 -> 17 [size =\"38321152\"]\n  9 -> 20 [size =\"38321152\"]\n  10 [size=\"85463040\", alpha=\"0.00\", expect_size=\"42731520\"] \n  10 -> 25 [size =\"42731520\"]\n  10 -> 25 [size =\"42731520\"]\n  11 [size=\"99923968\", alpha=\"0.02\", expect_size=\"49961984\"] \n  12 [size=\"29816832\", alpha=\"0.01\", expect_size=\"14908416\"] \n  12 -> 22 [size =\"14908416\"]\n  13 [size=\"82423808\", alpha=\"0.17\", expect_size=\"41211904\"] \n  13 -> 21 [size =\"41211904\"]\n  13 -> 24 [size =\"41211904\"]\n  13 -> 25 [size =\"41211904\"]\n  14 [size=\"58726400\", alpha=\"0.01\", expect_size=\"29363200\"] \n  14 -> 21 [size =\"29363200\"]\n  14 -> 25 [size =\"29363200\"]\n  14 -> 25 [size =\"29363200\"]\n  15 [size=\"75325440\", alpha=\"0.00\", expect_size=\"37662720\"] \n  15 -> 22 [size =\"37662720\"]\n  15 -> 23 [size =\"37662720\"]\n  16 [size=\"42459136\", alpha=\"0.01\", expect_size=\"21229568\"] \n  17 [size=\"42668032\", alpha=\"0.08\", expect_size=\"21334016\"] \n  17 -> 21 [size =\"21334016\"]\n  17 -> 22 [size =\"21334016\"]\n  18 [size=\"97081344\", alpha=\"0.10\", expect_size=\"48540672\"] \n  18 -> 22 [size =\"48540672\"]\n  18 -> 23 [size =\"48540672\"]\n  19 [size=\"66467840\", alpha=\"0.16\", expect_size=\"33233920\"] \n  19 -> 22 [size =\"33233920\"]\n  19 -> 23 [size =\"33233920\"]\n  20 [size=\"92340224\", alpha=\"0.14\", expect_size=\"46170112\"] \n  20 -> 23 [size =\"46170112\"]\n  20 -> 25 [size =\"46170112\"]\n  21 [size=\"93083648\", alpha=\"0.00\", expect_size=\"46541824\"] \n  22 [size=\"101566464\", alpha=\"0.09\", expect_size=\"50783232\"] \n  23 [size=\"10962944\", alpha=\"0.15\", expect_size=\"5481472\"] \n  24 [size=\"90171392\", alpha=\"0.10\", expect_size=\"45085696\"] \n  25 [size=\"94478336\", alpha=\"0.05\", expect_size=\"47239168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17313280\", alpha=\"0.10\", expect_size=\"6925312\"] \n  1 -> 7 [size =\"6925312\"]\n  2 [size=\"50017280\", alpha=\"0.05\", expect_size=\"20006912\"] \n  2 -> 6 [size =\"20006912\"]\n  2 -> 7 [size =\"20006912\"]\n  3 [size=\"107850240\", alpha=\"0.09\", expect_size=\"43140096\"] \n  3 -> 4 [size =\"43140096\"]\n  3 -> 5 [size =\"43140096\"]\n  4 [size=\"110095360\", alpha=\"0.01\", expect_size=\"44038144\"] \n  4 -> 9 [size =\"44038144\"]\n  4 -> 10 [size =\"44038144\"]\n  5 [size=\"112980480\", alpha=\"0.07\", expect_size=\"45192192\"] \n  5 -> 11 [size =\"45192192\"]\n  6 [size=\"45224960\", alpha=\"0.05\", expect_size=\"18089984\"] \n  6 -> 8 [size =\"18089984\"]\n  6 -> 10 [size =\"18089984\"]\n  7 [size=\"14005760\", alpha=\"0.02\", expect_size=\"5602304\"] \n  7 -> 8 [size =\"5602304\"]\n  7 -> 9 [size =\"5602304\"]\n  8 [size=\"13381120\", alpha=\"0.00\", expect_size=\"5352448\"] \n  8 -> 12 [size =\"5352448\"]\n  8 -> 13 [size =\"5352448\"]\n  8 -> 14 [size =\"5352448\"]\n  9 [size=\"44241920\", alpha=\"0.15\", expect_size=\"17696768\"] \n  9 -> 14 [size =\"17696768\"]\n  9 -> 15 [size =\"17696768\"]\n  10 [size=\"110755840\", alpha=\"0.19\", expect_size=\"44302336\"] \n  10 -> 12 [size =\"44302336\"]\n  10 -> 13 [size =\"44302336\"]\n  11 [size=\"94325760\", alpha=\"0.03\", expect_size=\"37730304\"] \n  11 -> 15 [size =\"37730304\"]\n  12 [size=\"34521600\", alpha=\"0.14\", expect_size=\"13808640\"] \n  13 [size=\"64371200\", alpha=\"0.07\", expect_size=\"25748480\"] \n  13 -> 18 [size =\"25748480\"]\n  13 -> 19 [size =\"25748480\"]\n  14 [size=\"116979200\", alpha=\"0.11\", expect_size=\"46791680\"] \n  14 -> 16 [size =\"46791680\"]\n  14 -> 17 [size =\"46791680\"]\n  15 [size=\"123650560\", alpha=\"0.14\", expect_size=\"49460224\"] \n  15 -> 16 [size =\"49460224\"]\n  16 [size=\"49016320\", alpha=\"0.20\", expect_size=\"19606528\"] \n  16 -> 20 [size =\"19606528\"]\n  16 -> 22 [size =\"19606528\"]\n  17 [size=\"78696960\", alpha=\"0.02\", expect_size=\"31478784\"] \n  17 -> 20 [size =\"31478784\"]\n  17 -> 21 [size =\"31478784\"]\n  18 [size=\"88563200\", alpha=\"0.10\", expect_size=\"35425280\"] \n  19 [size=\"90585600\", alpha=\"0.09\", expect_size=\"36234240\"] \n  20 [size=\"63982080\", alpha=\"0.06\", expect_size=\"25592832\"] \n  20 -> 25 [size =\"25592832\"]\n  21 [size=\"60648960\", alpha=\"0.05\", expect_size=\"24259584\"] \n  21 -> 23 [size =\"24259584\"]\n  22 [size=\"76971520\", alpha=\"0.10\", expect_size=\"30788608\"] \n  22 -> 24 [size =\"30788608\"]\n  23 [size=\"42624000\", alpha=\"0.11\", expect_size=\"17049600\"] \n  24 [size=\"85696000\", alpha=\"0.08\", expect_size=\"34278400\"] \n  25 [size=\"31641600\", alpha=\"0.03\", expect_size=\"12656640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75440128\", alpha=\"0.13\", expect_size=\"37720064\"] \n  2 [size=\"35663872\", alpha=\"0.03\", expect_size=\"17831936\"] \n  2 -> 3 [size =\"17831936\"]\n  2 -> 4 [size =\"17831936\"]\n  3 [size=\"60585984\", alpha=\"0.09\", expect_size=\"30292992\"] \n  3 -> 5 [size =\"30292992\"]\n  4 [size=\"102785024\", alpha=\"0.03\", expect_size=\"51392512\"] \n  5 [size=\"103446528\", alpha=\"0.03\", expect_size=\"51723264\"] \n  5 -> 6 [size =\"51723264\"]\n  5 -> 7 [size =\"51723264\"]\n  6 [size=\"91787264\", alpha=\"0.17\", expect_size=\"45893632\"] \n  7 [size=\"26351616\", alpha=\"0.18\", expect_size=\"13175808\"] \n  7 -> 8 [size =\"13175808\"]\n  8 [size=\"37318656\", alpha=\"0.01\", expect_size=\"18659328\"] \n  8 -> 9 [size =\"18659328\"]\n  8 -> 10 [size =\"18659328\"]\n  9 [size=\"20381696\", alpha=\"0.12\", expect_size=\"10190848\"] \n  9 -> 11 [size =\"10190848\"]\n  10 [size=\"57497600\", alpha=\"0.09\", expect_size=\"28748800\"] \n  11 [size=\"26308608\", alpha=\"0.07\", expect_size=\"13154304\"] \n  11 -> 12 [size =\"13154304\"]\n  12 [size=\"87791616\", alpha=\"0.07\", expect_size=\"43895808\"] \n  12 -> 13 [size =\"43895808\"]\n  13 [size=\"102475776\", alpha=\"0.10\", expect_size=\"51237888\"] \n  13 -> 14 [size =\"51237888\"]\n  14 [size=\"49604608\", alpha=\"0.09\", expect_size=\"24802304\"] \n  14 -> 15 [size =\"24802304\"]\n  14 -> 16 [size =\"24802304\"]\n  15 [size=\"64323584\", alpha=\"0.04\", expect_size=\"32161792\"] \n  15 -> 17 [size =\"32161792\"]\n  16 [size=\"76439552\", alpha=\"0.05\", expect_size=\"38219776\"] \n  17 [size=\"59959296\", alpha=\"0.19\", expect_size=\"29979648\"] \n  17 -> 18 [size =\"29979648\"]\n  17 -> 19 [size =\"29979648\"]\n  18 [size=\"50493440\", alpha=\"0.18\", expect_size=\"25246720\"] \n  18 -> 20 [size =\"25246720\"]\n  19 [size=\"55404544\", alpha=\"0.05\", expect_size=\"27702272\"] \n  20 [size=\"17252352\", alpha=\"0.05\", expect_size=\"8626176\"] \n  20 -> 21 [size =\"8626176\"]\n  20 -> 22 [size =\"8626176\"]\n  21 [size=\"59410432\", alpha=\"0.18\", expect_size=\"29705216\"] \n  21 -> 23 [size =\"29705216\"]\n  21 -> 24 [size =\"29705216\"]\n  22 [size=\"94588928\", alpha=\"0.17\", expect_size=\"47294464\"] \n  23 [size=\"31207424\", alpha=\"0.06\", expect_size=\"15603712\"] \n  23 -> 25 [size =\"15603712\"]\n  24 [size=\"79822848\", alpha=\"0.15\", expect_size=\"39911424\"] \n  25 [size=\"28956672\", alpha=\"0.03\", expect_size=\"14478336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160419840\", alpha=\"0.17\", expect_size=\"48125952\"] \n  1 -> 2 [size =\"48125952\"]\n  2 [size=\"151715840\", alpha=\"0.19\", expect_size=\"45514752\"] \n  2 -> 3 [size =\"45514752\"]\n  3 [size=\"24541867\", alpha=\"0.18\", expect_size=\"7362560\"] \n  3 -> 4 [size =\"7362560\"]\n  4 [size=\"156641280\", alpha=\"0.10\", expect_size=\"46992384\"] \n  4 -> 5 [size =\"46992384\"]\n  5 [size=\"125105493\", alpha=\"0.08\", expect_size=\"37531648\"] \n  5 -> 6 [size =\"37531648\"]\n  6 [size=\"97631573\", alpha=\"0.02\", expect_size=\"29289472\"] \n  6 -> 7 [size =\"29289472\"]\n  7 [size=\"74127360\", alpha=\"0.14\", expect_size=\"22238208\"] \n  7 -> 8 [size =\"22238208\"]\n  8 [size=\"38775467\", alpha=\"0.18\", expect_size=\"11632640\"] \n  8 -> 9 [size =\"11632640\"]\n  9 [size=\"167502507\", alpha=\"0.07\", expect_size=\"50250752\"] \n  9 -> 10 [size =\"50250752\"]\n  10 [size=\"100034560\", alpha=\"0.12\", expect_size=\"30010368\"] \n  10 -> 11 [size =\"30010368\"]\n  11 [size=\"124282880\", alpha=\"0.01\", expect_size=\"37284864\"] \n  11 -> 12 [size =\"37284864\"]\n  12 [size=\"100143787\", alpha=\"0.13\", expect_size=\"30043136\"] \n  12 -> 13 [size =\"30043136\"]\n  13 [size=\"93562880\", alpha=\"0.10\", expect_size=\"28068864\"] \n  13 -> 14 [size =\"28068864\"]\n  14 [size=\"81152000\", alpha=\"0.10\", expect_size=\"24345600\"] \n  14 -> 15 [size =\"24345600\"]\n  15 [size=\"159126187\", alpha=\"0.14\", expect_size=\"47737856\"] \n  15 -> 16 [size =\"47737856\"]\n  16 [size=\"61173760\", alpha=\"0.05\", expect_size=\"18352128\"] \n  16 -> 17 [size =\"18352128\"]\n  17 [size=\"74823680\", alpha=\"0.16\", expect_size=\"22447104\"] \n  17 -> 18 [size =\"22447104\"]\n  18 [size=\"27545600\", alpha=\"0.08\", expect_size=\"8263680\"] \n  18 -> 19 [size =\"8263680\"]\n  19 [size=\"172424533\", alpha=\"0.00\", expect_size=\"51727360\"] \n  19 -> 20 [size =\"51727360\"]\n  20 [size=\"68396373\", alpha=\"0.13\", expect_size=\"20518912\"] \n  20 -> 21 [size =\"20518912\"]\n  21 [size=\"165751467\", alpha=\"0.04\", expect_size=\"49725440\"] \n  21 -> 22 [size =\"49725440\"]\n  22 [size=\"169745067\", alpha=\"0.13\", expect_size=\"50923520\"] \n  22 -> 23 [size =\"50923520\"]\n  23 [size=\"114510507\", alpha=\"0.02\", expect_size=\"34353152\"] \n  23 -> 24 [size =\"34353152\"]\n  24 [size=\"32283307\", alpha=\"0.09\", expect_size=\"9684992\"] \n  24 -> 25 [size =\"9684992\"]\n  25 [size=\"108267520\", alpha=\"0.09\", expect_size=\"32480256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55975253\", alpha=\"0.06\", expect_size=\"16792576\"] \n  1 -> 4 [size =\"16792576\"]\n  2 [size=\"26238293\", alpha=\"0.19\", expect_size=\"7871488\"] \n  2 -> 3 [size =\"7871488\"]\n  3 [size=\"19817813\", alpha=\"0.17\", expect_size=\"5945344\"] \n  3 -> 5 [size =\"5945344\"]\n  3 -> 6 [size =\"5945344\"]\n  4 [size=\"67297280\", alpha=\"0.01\", expect_size=\"20189184\"] \n  5 [size=\"133905067\", alpha=\"0.19\", expect_size=\"40171520\"] \n  5 -> 7 [size =\"40171520\"]\n  6 [size=\"59825493\", alpha=\"0.18\", expect_size=\"17947648\"] \n  6 -> 8 [size =\"17947648\"]\n  7 [size=\"145247573\", alpha=\"0.19\", expect_size=\"43574272\"] \n  7 -> 9 [size =\"43574272\"]\n  7 -> 10 [size =\"43574272\"]\n  8 [size=\"34645333\", alpha=\"0.08\", expect_size=\"10393600\"] \n  9 [size=\"91129173\", alpha=\"0.01\", expect_size=\"27338752\"] \n  10 [size=\"107062613\", alpha=\"0.05\", expect_size=\"32118784\"] \n  10 -> 11 [size =\"32118784\"]\n  10 -> 12 [size =\"32118784\"]\n  11 [size=\"90883413\", alpha=\"0.19\", expect_size=\"27265024\"] \n  12 [size=\"138134187\", alpha=\"0.13\", expect_size=\"41440256\"] \n  12 -> 13 [size =\"41440256\"]\n  13 [size=\"133229227\", alpha=\"0.15\", expect_size=\"39968768\"] \n  13 -> 14 [size =\"39968768\"]\n  14 [size=\"111107413\", alpha=\"0.09\", expect_size=\"33332224\"] \n  14 -> 15 [size =\"33332224\"]\n  15 [size=\"115657387\", alpha=\"0.03\", expect_size=\"34697216\"] \n  15 -> 16 [size =\"34697216\"]\n  16 [size=\"105468587\", alpha=\"0.08\", expect_size=\"31640576\"] \n  16 -> 17 [size =\"31640576\"]\n  17 [size=\"91784533\", alpha=\"0.03\", expect_size=\"27535360\"] \n  17 -> 18 [size =\"27535360\"]\n  17 -> 19 [size =\"27535360\"]\n  18 [size=\"81053013\", alpha=\"0.08\", expect_size=\"24315904\"] \n  18 -> 20 [size =\"24315904\"]\n  18 -> 21 [size =\"24315904\"]\n  19 [size=\"147609600\", alpha=\"0.03\", expect_size=\"44282880\"] \n  20 [size=\"158996480\", alpha=\"0.01\", expect_size=\"47698944\"] \n  20 -> 22 [size =\"47698944\"]\n  21 [size=\"42943147\", alpha=\"0.03\", expect_size=\"12882944\"] \n  22 [size=\"36877653\", alpha=\"0.06\", expect_size=\"11063296\"] \n  22 -> 23 [size =\"11063296\"]\n  23 [size=\"136645973\", alpha=\"0.10\", expect_size=\"40993792\"] \n  23 -> 24 [size =\"40993792\"]\n  24 [size=\"95713280\", alpha=\"0.00\", expect_size=\"28713984\"] \n  24 -> 25 [size =\"28713984\"]\n  25 [size=\"169297920\", alpha=\"0.05\", expect_size=\"50789376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102272000\", alpha=\"0.12\", expect_size=\"40908800\"] \n  1 -> 4 [size =\"40908800\"]\n  2 [size=\"27107840\", alpha=\"0.16\", expect_size=\"10843136\"] \n  2 -> 3 [size =\"10843136\"]\n  2 -> 4 [size =\"10843136\"]\n  3 [size=\"115491840\", alpha=\"0.01\", expect_size=\"46196736\"] \n  3 -> 5 [size =\"46196736\"]\n  4 [size=\"49694720\", alpha=\"0.02\", expect_size=\"19877888\"] \n  4 -> 5 [size =\"19877888\"]\n  5 [size=\"37237760\", alpha=\"0.08\", expect_size=\"14895104\"] \n  5 -> 6 [size =\"14895104\"]\n  6 [size=\"110504960\", alpha=\"0.11\", expect_size=\"44201984\"] \n  6 -> 7 [size =\"44201984\"]\n  6 -> 8 [size =\"44201984\"]\n  7 [size=\"124152320\", alpha=\"0.00\", expect_size=\"49660928\"] \n  7 -> 9 [size =\"49660928\"]\n  8 [size=\"93253120\", alpha=\"0.02\", expect_size=\"37301248\"] \n  8 -> 9 [size =\"37301248\"]\n  9 [size=\"52843520\", alpha=\"0.19\", expect_size=\"21137408\"] \n  9 -> 10 [size =\"21137408\"]\n  9 -> 11 [size =\"21137408\"]\n  10 [size=\"105692160\", alpha=\"0.11\", expect_size=\"42276864\"] \n  10 -> 12 [size =\"42276864\"]\n  11 [size=\"59036160\", alpha=\"0.06\", expect_size=\"23614464\"] \n  11 -> 12 [size =\"23614464\"]\n  11 -> 13 [size =\"23614464\"]\n  12 [size=\"127505920\", alpha=\"0.00\", expect_size=\"51002368\"] \n  12 -> 14 [size =\"51002368\"]\n  13 [size=\"100984320\", alpha=\"0.05\", expect_size=\"40393728\"] \n  13 -> 14 [size =\"40393728\"]\n  14 [size=\"107758080\", alpha=\"0.10\", expect_size=\"43103232\"] \n  14 -> 15 [size =\"43103232\"]\n  14 -> 16 [size =\"43103232\"]\n  15 [size=\"120801280\", alpha=\"0.17\", expect_size=\"48320512\"] \n  15 -> 17 [size =\"48320512\"]\n  15 -> 18 [size =\"48320512\"]\n  16 [size=\"50124800\", alpha=\"0.01\", expect_size=\"20049920\"] \n  16 -> 17 [size =\"20049920\"]\n  17 [size=\"117393920\", alpha=\"0.04\", expect_size=\"46957568\"] \n  17 -> 19 [size =\"46957568\"]\n  17 -> 20 [size =\"46957568\"]\n  18 [size=\"120135680\", alpha=\"0.04\", expect_size=\"48054272\"] \n  18 -> 19 [size =\"48054272\"]\n  18 -> 20 [size =\"48054272\"]\n  19 [size=\"16424960\", alpha=\"0.01\", expect_size=\"6569984\"] \n  20 [size=\"130982400\", alpha=\"0.03\", expect_size=\"52392960\"] \n  20 -> 21 [size =\"52392960\"]\n  21 [size=\"76951040\", alpha=\"0.20\", expect_size=\"30780416\"] \n  21 -> 22 [size =\"30780416\"]\n  22 [size=\"113648640\", alpha=\"0.19\", expect_size=\"45459456\"] \n  22 -> 23 [size =\"45459456\"]\n  22 -> 24 [size =\"45459456\"]\n  23 [size=\"114424320\", alpha=\"0.15\", expect_size=\"45769728\"] \n  23 -> 25 [size =\"45769728\"]\n  24 [size=\"26872320\", alpha=\"0.18\", expect_size=\"10748928\"] \n  24 -> 25 [size =\"10748928\"]\n  25 [size=\"84326400\", alpha=\"0.05\", expect_size=\"33730560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126648320\", alpha=\"0.00\", expect_size=\"37994496\"] \n  1 -> 7 [size =\"37994496\"]\n  1 -> 8 [size =\"37994496\"]\n  2 [size=\"103775573\", alpha=\"0.14\", expect_size=\"31132672\"] \n  2 -> 5 [size =\"31132672\"]\n  3 [size=\"161047893\", alpha=\"0.14\", expect_size=\"48314368\"] \n  3 -> 5 [size =\"48314368\"]\n  3 -> 6 [size =\"48314368\"]\n  4 [size=\"171581440\", alpha=\"0.07\", expect_size=\"51474432\"] \n  4 -> 6 [size =\"51474432\"]\n  5 [size=\"79373653\", alpha=\"0.20\", expect_size=\"23812096\"] \n  5 -> 9 [size =\"23812096\"]\n  6 [size=\"64884053\", alpha=\"0.13\", expect_size=\"19465216\"] \n  7 [size=\"108195840\", alpha=\"0.13\", expect_size=\"32458752\"] \n  8 [size=\"41649493\", alpha=\"0.06\", expect_size=\"12494848\"] \n  8 -> 10 [size =\"12494848\"]\n  8 -> 11 [size =\"12494848\"]\n  9 [size=\"159662080\", alpha=\"0.08\", expect_size=\"47898624\"] \n  10 [size=\"79455573\", alpha=\"0.12\", expect_size=\"23836672\"] \n  10 -> 12 [size =\"23836672\"]\n  10 -> 14 [size =\"23836672\"]\n  11 [size=\"140496213\", alpha=\"0.19\", expect_size=\"42148864\"] \n  11 -> 13 [size =\"42148864\"]\n  11 -> 14 [size =\"42148864\"]\n  12 [size=\"143209813\", alpha=\"0.05\", expect_size=\"42962944\"] \n  12 -> 17 [size =\"42962944\"]\n  13 [size=\"95320747\", alpha=\"0.09\", expect_size=\"28596224\"] \n  14 [size=\"46404267\", alpha=\"0.10\", expect_size=\"13921280\"] \n  14 -> 15 [size =\"13921280\"]\n  14 -> 16 [size =\"13921280\"]\n  15 [size=\"97549653\", alpha=\"0.09\", expect_size=\"29264896\"] \n  15 -> 19 [size =\"29264896\"]\n  16 [size=\"94303573\", alpha=\"0.01\", expect_size=\"28291072\"] \n  16 -> 20 [size =\"28291072\"]\n  17 [size=\"38010880\", alpha=\"0.02\", expect_size=\"11403264\"] \n  17 -> 18 [size =\"11403264\"]\n  17 -> 19 [size =\"11403264\"]\n  17 -> 20 [size =\"11403264\"]\n  18 [size=\"136396800\", alpha=\"0.20\", expect_size=\"40919040\"] \n  18 -> 21 [size =\"40919040\"]\n  18 -> 23 [size =\"40919040\"]\n  19 [size=\"22616747\", alpha=\"0.06\", expect_size=\"6785024\"] \n  19 -> 21 [size =\"6785024\"]\n  19 -> 22 [size =\"6785024\"]\n  20 [size=\"88081067\", alpha=\"0.18\", expect_size=\"26424320\"] \n  20 -> 23 [size =\"26424320\"]\n  21 [size=\"22685013\", alpha=\"0.05\", expect_size=\"6805504\"] \n  21 -> 24 [size =\"6805504\"]\n  22 [size=\"172264107\", alpha=\"0.02\", expect_size=\"51679232\"] \n  22 -> 25 [size =\"51679232\"]\n  23 [size=\"56125440\", alpha=\"0.18\", expect_size=\"16837632\"] \n  23 -> 25 [size =\"16837632\"]\n  24 [size=\"127907840\", alpha=\"0.13\", expect_size=\"38372352\"] \n  25 [size=\"52206933\", alpha=\"0.16\", expect_size=\"15662080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35690496\", alpha=\"0.18\", expect_size=\"17845248\"] \n  1 -> 11 [size =\"17845248\"]\n  1 -> 14 [size =\"17845248\"]\n  1 -> 17 [size =\"17845248\"]\n  1 -> 19 [size =\"17845248\"]\n  2 [size=\"55169024\", alpha=\"0.04\", expect_size=\"27584512\"] \n  2 -> 14 [size =\"27584512\"]\n  2 -> 18 [size =\"27584512\"]\n  2 -> 19 [size =\"27584512\"]\n  3 [size=\"42833920\", alpha=\"0.04\", expect_size=\"21416960\"] \n  3 -> 12 [size =\"21416960\"]\n  3 -> 14 [size =\"21416960\"]\n  3 -> 15 [size =\"21416960\"]\n  3 -> 16 [size =\"21416960\"]\n  3 -> 18 [size =\"21416960\"]\n  3 -> 19 [size =\"21416960\"]\n  3 -> 20 [size =\"21416960\"]\n  4 [size=\"35938304\", alpha=\"0.11\", expect_size=\"17969152\"] \n  4 -> 13 [size =\"17969152\"]\n  4 -> 19 [size =\"17969152\"]\n  4 -> 20 [size =\"17969152\"]\n  5 [size=\"62058496\", alpha=\"0.06\", expect_size=\"31029248\"] \n  5 -> 12 [size =\"31029248\"]\n  5 -> 14 [size =\"31029248\"]\n  5 -> 16 [size =\"31029248\"]\n  5 -> 18 [size =\"31029248\"]\n  5 -> 19 [size =\"31029248\"]\n  5 -> 20 [size =\"31029248\"]\n  6 [size=\"57104384\", alpha=\"0.17\", expect_size=\"28552192\"] \n  6 -> 15 [size =\"28552192\"]\n  6 -> 16 [size =\"28552192\"]\n  7 [size=\"49733632\", alpha=\"0.00\", expect_size=\"24866816\"] \n  7 -> 11 [size =\"24866816\"]\n  7 -> 16 [size =\"24866816\"]\n  7 -> 18 [size =\"24866816\"]\n  8 [size=\"15669248\", alpha=\"0.04\", expect_size=\"7834624\"] \n  8 -> 11 [size =\"7834624\"]\n  8 -> 13 [size =\"7834624\"]\n  8 -> 14 [size =\"7834624\"]\n  8 -> 16 [size =\"7834624\"]\n  8 -> 17 [size =\"7834624\"]\n  8 -> 18 [size =\"7834624\"]\n  9 [size=\"14917632\", alpha=\"0.01\", expect_size=\"7458816\"] \n  9 -> 11 [size =\"7458816\"]\n  9 -> 12 [size =\"7458816\"]\n  9 -> 13 [size =\"7458816\"]\n  9 -> 14 [size =\"7458816\"]\n  9 -> 16 [size =\"7458816\"]\n  9 -> 18 [size =\"7458816\"]\n  9 -> 19 [size =\"7458816\"]\n  9 -> 20 [size =\"7458816\"]\n  10 [size=\"75284480\", alpha=\"0.14\", expect_size=\"37642240\"] \n  10 -> 11 [size =\"37642240\"]\n  10 -> 14 [size =\"37642240\"]\n  10 -> 16 [size =\"37642240\"]\n  10 -> 19 [size =\"37642240\"]\n  10 -> 20 [size =\"37642240\"]\n  11 [size=\"54937600\", alpha=\"0.10\", expect_size=\"27468800\"] \n  11 -> 22 [size =\"27468800\"]\n  11 -> 23 [size =\"27468800\"]\n  11 -> 24 [size =\"27468800\"]\n  12 [size=\"46075904\", alpha=\"0.10\", expect_size=\"23037952\"] \n  12 -> 21 [size =\"23037952\"]\n  13 [size=\"67039232\", alpha=\"0.18\", expect_size=\"33519616\"] \n  13 -> 23 [size =\"33519616\"]\n  13 -> 24 [size =\"33519616\"]\n  14 [size=\"84969472\", alpha=\"0.04\", expect_size=\"42484736\"] \n  14 -> 22 [size =\"42484736\"]\n  14 -> 24 [size =\"42484736\"]\n  15 [size=\"44666880\", alpha=\"0.07\", expect_size=\"22333440\"] \n  15 -> 24 [size =\"22333440\"]\n  15 -> 24 [size =\"22333440\"]\n  16 [size=\"74862592\", alpha=\"0.17\", expect_size=\"37431296\"] \n  16 -> 23 [size =\"37431296\"]\n  16 -> 24 [size =\"37431296\"]\n  16 -> 25 [size =\"37431296\"]\n  17 [size=\"62273536\", alpha=\"0.03\", expect_size=\"31136768\"] \n  17 -> 22 [size =\"31136768\"]\n  17 -> 23 [size =\"31136768\"]\n  17 -> 25 [size =\"31136768\"]\n  18 [size=\"64610304\", alpha=\"0.19\", expect_size=\"32305152\"] \n  18 -> 22 [size =\"32305152\"]\n  19 [size=\"82155520\", alpha=\"0.18\", expect_size=\"41077760\"] \n  19 -> 22 [size =\"41077760\"]\n  19 -> 24 [size =\"41077760\"]\n  20 [size=\"85112832\", alpha=\"0.13\", expect_size=\"42556416\"] \n  21 [size=\"58628096\", alpha=\"0.14\", expect_size=\"29314048\"] \n  22 [size=\"12070912\", alpha=\"0.05\", expect_size=\"6035456\"] \n  23 [size=\"58619904\", alpha=\"0.02\", expect_size=\"29309952\"] \n  24 [size=\"49362944\", alpha=\"0.05\", expect_size=\"24681472\"] \n  25 [size=\"70541312\", alpha=\"0.18\", expect_size=\"35270656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77974187\", alpha=\"0.03\", expect_size=\"23392256\"] \n  1 -> 20 [size =\"23392256\"]\n  2 [size=\"149893120\", alpha=\"0.01\", expect_size=\"44967936\"] \n  2 -> 20 [size =\"44967936\"]\n  2 -> 24 [size =\"44967936\"]\n  2 -> 25 [size =\"44967936\"]\n  3 [size=\"147452587\", alpha=\"0.08\", expect_size=\"44235776\"] \n  3 -> 20 [size =\"44235776\"]\n  3 -> 22 [size =\"44235776\"]\n  4 [size=\"18425173\", alpha=\"0.08\", expect_size=\"5527552\"] \n  4 -> 22 [size =\"5527552\"]\n  4 -> 24 [size =\"5527552\"]\n  5 [size=\"103543467\", alpha=\"0.10\", expect_size=\"31063040\"] \n  5 -> 24 [size =\"31063040\"]\n  5 -> 25 [size =\"31063040\"]\n  6 [size=\"149306027\", alpha=\"0.16\", expect_size=\"44791808\"] \n  6 -> 24 [size =\"44791808\"]\n  6 -> 25 [size =\"44791808\"]\n  7 [size=\"96017067\", alpha=\"0.04\", expect_size=\"28805120\"] \n  7 -> 22 [size =\"28805120\"]\n  7 -> 24 [size =\"28805120\"]\n  8 [size=\"57285973\", alpha=\"0.15\", expect_size=\"17185792\"] \n  9 [size=\"31508480\", alpha=\"0.02\", expect_size=\"9452544\"] \n  9 -> 20 [size =\"9452544\"]\n  10 [size=\"39492267\", alpha=\"0.13\", expect_size=\"11847680\"] \n  10 -> 20 [size =\"11847680\"]\n  10 -> 22 [size =\"11847680\"]\n  10 -> 25 [size =\"11847680\"]\n  11 [size=\"119835307\", alpha=\"0.01\", expect_size=\"35950592\"] \n  11 -> 20 [size =\"35950592\"]\n  11 -> 25 [size =\"35950592\"]\n  12 [size=\"143619413\", alpha=\"0.05\", expect_size=\"43085824\"] \n  12 -> 22 [size =\"43085824\"]\n  12 -> 24 [size =\"43085824\"]\n  12 -> 25 [size =\"43085824\"]\n  13 [size=\"154890240\", alpha=\"0.05\", expect_size=\"46467072\"] \n  13 -> 23 [size =\"46467072\"]\n  14 [size=\"63890773\", alpha=\"0.16\", expect_size=\"19167232\"] \n  14 -> 20 [size =\"19167232\"]\n  14 -> 21 [size =\"19167232\"]\n  14 -> 24 [size =\"19167232\"]\n  15 [size=\"129713493\", alpha=\"0.15\", expect_size=\"38914048\"] \n  15 -> 20 [size =\"38914048\"]\n  15 -> 21 [size =\"38914048\"]\n  16 [size=\"50216960\", alpha=\"0.13\", expect_size=\"15065088\"] \n  16 -> 21 [size =\"15065088\"]\n  17 [size=\"173008213\", alpha=\"0.13\", expect_size=\"51902464\"] \n  17 -> 20 [size =\"51902464\"]\n  17 -> 25 [size =\"51902464\"]\n  18 [size=\"46653440\", alpha=\"0.13\", expect_size=\"13996032\"] \n  18 -> 24 [size =\"13996032\"]\n  18 -> 25 [size =\"13996032\"]\n  19 [size=\"164328107\", alpha=\"0.01\", expect_size=\"49298432\"] \n  19 -> 23 [size =\"49298432\"]\n  20 [size=\"22664533\", alpha=\"0.19\", expect_size=\"6799360\"] \n  21 [size=\"126218240\", alpha=\"0.04\", expect_size=\"37865472\"] \n  22 [size=\"135618560\", alpha=\"0.07\", expect_size=\"40685568\"] \n  23 [size=\"174639787\", alpha=\"0.05\", expect_size=\"52391936\"] \n  24 [size=\"56917333\", alpha=\"0.04\", expect_size=\"17075200\"] \n  25 [size=\"27579733\", alpha=\"0.14\", expect_size=\"8273920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23896747\", alpha=\"0.16\", expect_size=\"7169024\"] \n  1 -> 11 [size =\"7169024\"]\n  1 -> 12 [size =\"7169024\"]\n  1 -> 15 [size =\"7169024\"]\n  1 -> 16 [size =\"7169024\"]\n  1 -> 17 [size =\"7169024\"]\n  1 -> 18 [size =\"7169024\"]\n  2 [size=\"81872213\", alpha=\"0.19\", expect_size=\"24561664\"] \n  2 -> 12 [size =\"24561664\"]\n  2 -> 13 [size =\"24561664\"]\n  2 -> 18 [size =\"24561664\"]\n  3 [size=\"44462080\", alpha=\"0.07\", expect_size=\"13338624\"] \n  3 -> 12 [size =\"13338624\"]\n  3 -> 13 [size =\"13338624\"]\n  3 -> 15 [size =\"13338624\"]\n  3 -> 17 [size =\"13338624\"]\n  3 -> 18 [size =\"13338624\"]\n  4 [size=\"153207467\", alpha=\"0.01\", expect_size=\"45962240\"] \n  4 -> 12 [size =\"45962240\"]\n  4 -> 13 [size =\"45962240\"]\n  4 -> 15 [size =\"45962240\"]\n  4 -> 18 [size =\"45962240\"]\n  5 [size=\"154398720\", alpha=\"0.17\", expect_size=\"46319616\"] \n  5 -> 13 [size =\"46319616\"]\n  5 -> 13 [size =\"46319616\"]\n  6 [size=\"135362560\", alpha=\"0.13\", expect_size=\"40608768\"] \n  6 -> 13 [size =\"40608768\"]\n  6 -> 16 [size =\"40608768\"]\n  7 [size=\"113728853\", alpha=\"0.20\", expect_size=\"34118656\"] \n  7 -> 14 [size =\"34118656\"]\n  8 [size=\"87978667\", alpha=\"0.10\", expect_size=\"26393600\"] \n  8 -> 12 [size =\"26393600\"]\n  8 -> 15 [size =\"26393600\"]\n  8 -> 17 [size =\"26393600\"]\n  8 -> 18 [size =\"26393600\"]\n  9 [size=\"64477867\", alpha=\"0.05\", expect_size=\"19343360\"] \n  9 -> 16 [size =\"19343360\"]\n  9 -> 17 [size =\"19343360\"]\n  10 [size=\"35481600\", alpha=\"0.12\", expect_size=\"10644480\"] \n  10 -> 11 [size =\"10644480\"]\n  10 -> 15 [size =\"10644480\"]\n  10 -> 16 [size =\"10644480\"]\n  10 -> 17 [size =\"10644480\"]\n  10 -> 18 [size =\"10644480\"]\n  11 [size=\"33532587\", alpha=\"0.12\", expect_size=\"10059776\"] \n  11 -> 19 [size =\"10059776\"]\n  11 -> 22 [size =\"10059776\"]\n  11 -> 25 [size =\"10059776\"]\n  12 [size=\"156320427\", alpha=\"0.15\", expect_size=\"46896128\"] \n  12 -> 22 [size =\"46896128\"]\n  12 -> 23 [size =\"46896128\"]\n  13 [size=\"145902933\", alpha=\"0.14\", expect_size=\"43770880\"] \n  13 -> 19 [size =\"43770880\"]\n  13 -> 20 [size =\"43770880\"]\n  13 -> 21 [size =\"43770880\"]\n  13 -> 22 [size =\"43770880\"]\n  13 -> 23 [size =\"43770880\"]\n  13 -> 24 [size =\"43770880\"]\n  14 [size=\"39806293\", alpha=\"0.04\", expect_size=\"11941888\"] \n  14 -> 19 [size =\"11941888\"]\n  14 -> 20 [size =\"11941888\"]\n  14 -> 23 [size =\"11941888\"]\n  14 -> 24 [size =\"11941888\"]\n  15 [size=\"43745280\", alpha=\"0.12\", expect_size=\"13123584\"] \n  15 -> 20 [size =\"13123584\"]\n  15 -> 22 [size =\"13123584\"]\n  15 -> 23 [size =\"13123584\"]\n  15 -> 24 [size =\"13123584\"]\n  16 [size=\"21760000\", alpha=\"0.04\", expect_size=\"6528000\"] \n  16 -> 19 [size =\"6528000\"]\n  16 -> 20 [size =\"6528000\"]\n  16 -> 21 [size =\"6528000\"]\n  16 -> 22 [size =\"6528000\"]\n  16 -> 24 [size =\"6528000\"]\n  16 -> 25 [size =\"6528000\"]\n  17 [size=\"121835520\", alpha=\"0.05\", expect_size=\"36550656\"] \n  17 -> 19 [size =\"36550656\"]\n  17 -> 20 [size =\"36550656\"]\n  18 [size=\"119640747\", alpha=\"0.20\", expect_size=\"35892224\"] \n  18 -> 19 [size =\"35892224\"]\n  18 -> 22 [size =\"35892224\"]\n  18 -> 24 [size =\"35892224\"]\n  18 -> 25 [size =\"35892224\"]\n  19 [size=\"40639147\", alpha=\"0.15\", expect_size=\"12191744\"] \n  20 [size=\"80691200\", alpha=\"0.06\", expect_size=\"24207360\"] \n  21 [size=\"173393920\", alpha=\"0.18\", expect_size=\"52018176\"] \n  22 [size=\"111445333\", alpha=\"0.18\", expect_size=\"33433600\"] \n  23 [size=\"74492587\", alpha=\"0.02\", expect_size=\"22347776\"] \n  24 [size=\"27678720\", alpha=\"0.02\", expect_size=\"8303616\"] \n  25 [size=\"62440107\", alpha=\"0.01\", expect_size=\"18732032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94906368\", alpha=\"0.09\", expect_size=\"47453184\"] \n  1 -> 2 [size =\"47453184\"]\n  2 [size=\"84842496\", alpha=\"0.00\", expect_size=\"42421248\"] \n  2 -> 3 [size =\"42421248\"]\n  3 [size=\"79984640\", alpha=\"0.13\", expect_size=\"39992320\"] \n  3 -> 4 [size =\"39992320\"]\n  4 [size=\"97953792\", alpha=\"0.19\", expect_size=\"48976896\"] \n  4 -> 5 [size =\"48976896\"]\n  5 [size=\"47624192\", alpha=\"0.09\", expect_size=\"23812096\"] \n  5 -> 6 [size =\"23812096\"]\n  5 -> 7 [size =\"23812096\"]\n  6 [size=\"62976000\", alpha=\"0.13\", expect_size=\"31488000\"] \n  6 -> 9 [size =\"31488000\"]\n  7 [size=\"99485696\", alpha=\"0.06\", expect_size=\"49742848\"] \n  7 -> 8 [size =\"49742848\"]\n  7 -> 9 [size =\"49742848\"]\n  8 [size=\"76005376\", alpha=\"0.12\", expect_size=\"38002688\"] \n  8 -> 10 [size =\"38002688\"]\n  9 [size=\"24926208\", alpha=\"0.16\", expect_size=\"12463104\"] \n  9 -> 10 [size =\"12463104\"]\n  9 -> 11 [size =\"12463104\"]\n  10 [size=\"83908608\", alpha=\"0.12\", expect_size=\"41954304\"] \n  10 -> 12 [size =\"41954304\"]\n  11 [size=\"57522176\", alpha=\"0.14\", expect_size=\"28761088\"] \n  11 -> 12 [size =\"28761088\"]\n  12 [size=\"97871872\", alpha=\"0.09\", expect_size=\"48935936\"] \n  12 -> 13 [size =\"48935936\"]\n  13 [size=\"98580480\", alpha=\"0.07\", expect_size=\"49290240\"] \n  13 -> 14 [size =\"49290240\"]\n  14 [size=\"66975744\", alpha=\"0.11\", expect_size=\"33487872\"] \n  14 -> 15 [size =\"33487872\"]\n  14 -> 16 [size =\"33487872\"]\n  15 [size=\"64081920\", alpha=\"0.08\", expect_size=\"32040960\"] \n  15 -> 17 [size =\"32040960\"]\n  16 [size=\"13312000\", alpha=\"0.07\", expect_size=\"6656000\"] \n  16 -> 17 [size =\"6656000\"]\n  17 [size=\"74084352\", alpha=\"0.01\", expect_size=\"37042176\"] \n  17 -> 18 [size =\"37042176\"]\n  17 -> 19 [size =\"37042176\"]\n  18 [size=\"100186112\", alpha=\"0.15\", expect_size=\"50093056\"] \n  18 -> 20 [size =\"50093056\"]\n  19 [size=\"64229376\", alpha=\"0.03\", expect_size=\"32114688\"] \n  19 -> 20 [size =\"32114688\"]\n  19 -> 21 [size =\"32114688\"]\n  20 [size=\"44081152\", alpha=\"0.01\", expect_size=\"22040576\"] \n  20 -> 23 [size =\"22040576\"]\n  21 [size=\"98703360\", alpha=\"0.16\", expect_size=\"49351680\"] \n  21 -> 22 [size =\"49351680\"]\n  21 -> 23 [size =\"49351680\"]\n  22 [size=\"72095744\", alpha=\"0.08\", expect_size=\"36047872\"] \n  22 -> 24 [size =\"36047872\"]\n  23 [size=\"19509248\", alpha=\"0.14\", expect_size=\"9754624\"] \n  23 -> 24 [size =\"9754624\"]\n  23 -> 25 [size =\"9754624\"]\n  24 [size=\"53086208\", alpha=\"0.19\", expect_size=\"26543104\"] \n  25 [size=\"10870784\", alpha=\"0.11\", expect_size=\"5435392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86891520\", alpha=\"0.12\", expect_size=\"34756608\"] \n  1 -> 2 [size =\"34756608\"]\n  2 [size=\"90554880\", alpha=\"0.02\", expect_size=\"36221952\"] \n  2 -> 3 [size =\"36221952\"]\n  3 [size=\"115310080\", alpha=\"0.06\", expect_size=\"46124032\"] \n  3 -> 4 [size =\"46124032\"]\n  4 [size=\"35399680\", alpha=\"0.09\", expect_size=\"14159872\"] \n  4 -> 5 [size =\"14159872\"]\n  5 [size=\"18314240\", alpha=\"0.12\", expect_size=\"7325696\"] \n  5 -> 6 [size =\"7325696\"]\n  6 [size=\"19765760\", alpha=\"0.02\", expect_size=\"7906304\"] \n  6 -> 7 [size =\"7906304\"]\n  7 [size=\"75299840\", alpha=\"0.12\", expect_size=\"30119936\"] \n  7 -> 8 [size =\"30119936\"]\n  8 [size=\"41359360\", alpha=\"0.00\", expect_size=\"16543744\"] \n  8 -> 9 [size =\"16543744\"]\n  9 [size=\"44492800\", alpha=\"0.09\", expect_size=\"17797120\"] \n  9 -> 10 [size =\"17797120\"]\n  10 [size=\"83924480\", alpha=\"0.08\", expect_size=\"33569792\"] \n  10 -> 11 [size =\"33569792\"]\n  11 [size=\"68989440\", alpha=\"0.15\", expect_size=\"27595776\"] \n  11 -> 12 [size =\"27595776\"]\n  12 [size=\"20538880\", alpha=\"0.16\", expect_size=\"8215552\"] \n  12 -> 13 [size =\"8215552\"]\n  13 [size=\"31040000\", alpha=\"0.16\", expect_size=\"12416000\"] \n  13 -> 14 [size =\"12416000\"]\n  14 [size=\"65198080\", alpha=\"0.01\", expect_size=\"26079232\"] \n  14 -> 15 [size =\"26079232\"]\n  15 [size=\"119027200\", alpha=\"0.04\", expect_size=\"47610880\"] \n  15 -> 16 [size =\"47610880\"]\n  16 [size=\"73674240\", alpha=\"0.15\", expect_size=\"29469696\"] \n  16 -> 17 [size =\"29469696\"]\n  17 [size=\"84615680\", alpha=\"0.02\", expect_size=\"33846272\"] \n  17 -> 18 [size =\"33846272\"]\n  18 [size=\"36167680\", alpha=\"0.10\", expect_size=\"14467072\"] \n  18 -> 19 [size =\"14467072\"]\n  19 [size=\"37657600\", alpha=\"0.03\", expect_size=\"15063040\"] \n  19 -> 20 [size =\"15063040\"]\n  20 [size=\"90224640\", alpha=\"0.14\", expect_size=\"36089856\"] \n  20 -> 21 [size =\"36089856\"]\n  21 [size=\"22364160\", alpha=\"0.18\", expect_size=\"8945664\"] \n  21 -> 22 [size =\"8945664\"]\n  22 [size=\"113392640\", alpha=\"0.15\", expect_size=\"45357056\"] \n  22 -> 23 [size =\"45357056\"]\n  23 [size=\"89047040\", alpha=\"0.09\", expect_size=\"35618816\"] \n  23 -> 24 [size =\"35618816\"]\n  24 [size=\"65994240\", alpha=\"0.07\", expect_size=\"26397696\"] \n  24 -> 25 [size =\"26397696\"]\n  25 [size=\"74342400\", alpha=\"0.06\", expect_size=\"29736960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99573760\", alpha=\"0.18\", expect_size=\"49786880\"] \n  1 -> 3 [size =\"49786880\"]\n  2 [size=\"64405504\", alpha=\"0.19\", expect_size=\"32202752\"] \n  2 -> 3 [size =\"32202752\"]\n  3 [size=\"87330816\", alpha=\"0.16\", expect_size=\"43665408\"] \n  3 -> 4 [size =\"43665408\"]\n  4 [size=\"64909312\", alpha=\"0.09\", expect_size=\"32454656\"] \n  4 -> 5 [size =\"32454656\"]\n  4 -> 6 [size =\"32454656\"]\n  5 [size=\"89030656\", alpha=\"0.06\", expect_size=\"44515328\"] \n  5 -> 7 [size =\"44515328\"]\n  6 [size=\"81883136\", alpha=\"0.12\", expect_size=\"40941568\"] \n  6 -> 7 [size =\"40941568\"]\n  7 [size=\"78108672\", alpha=\"0.14\", expect_size=\"39054336\"] \n  7 -> 8 [size =\"39054336\"]\n  8 [size=\"37888000\", alpha=\"0.20\", expect_size=\"18944000\"] \n  8 -> 9 [size =\"18944000\"]\n  8 -> 10 [size =\"18944000\"]\n  9 [size=\"54650880\", alpha=\"0.16\", expect_size=\"27325440\"] \n  9 -> 11 [size =\"27325440\"]\n  9 -> 12 [size =\"27325440\"]\n  10 [size=\"32815104\", alpha=\"0.15\", expect_size=\"16407552\"] \n  10 -> 11 [size =\"16407552\"]\n  10 -> 12 [size =\"16407552\"]\n  11 [size=\"44699648\", alpha=\"0.14\", expect_size=\"22349824\"] \n  11 -> 13 [size =\"22349824\"]\n  12 [size=\"35878912\", alpha=\"0.06\", expect_size=\"17939456\"] \n  12 -> 13 [size =\"17939456\"]\n  13 [size=\"29765632\", alpha=\"0.10\", expect_size=\"14882816\"] \n  13 -> 14 [size =\"14882816\"]\n  14 [size=\"13148160\", alpha=\"0.15\", expect_size=\"6574080\"] \n  14 -> 15 [size =\"6574080\"]\n  14 -> 16 [size =\"6574080\"]\n  15 [size=\"57530368\", alpha=\"0.18\", expect_size=\"28765184\"] \n  15 -> 17 [size =\"28765184\"]\n  15 -> 18 [size =\"28765184\"]\n  16 [size=\"86747136\", alpha=\"0.07\", expect_size=\"43373568\"] \n  16 -> 17 [size =\"43373568\"]\n  17 [size=\"50284544\", alpha=\"0.19\", expect_size=\"25142272\"] \n  17 -> 20 [size =\"25142272\"]\n  18 [size=\"23871488\", alpha=\"0.09\", expect_size=\"11935744\"] \n  18 -> 19 [size =\"11935744\"]\n  18 -> 20 [size =\"11935744\"]\n  19 [size=\"22749184\", alpha=\"0.19\", expect_size=\"11374592\"] \n  19 -> 21 [size =\"11374592\"]\n  19 -> 22 [size =\"11374592\"]\n  20 [size=\"96993280\", alpha=\"0.06\", expect_size=\"48496640\"] \n  20 -> 21 [size =\"48496640\"]\n  21 [size=\"74700800\", alpha=\"0.12\", expect_size=\"37350400\"] \n  21 -> 23 [size =\"37350400\"]\n  21 -> 24 [size =\"37350400\"]\n  22 [size=\"47579136\", alpha=\"0.09\", expect_size=\"23789568\"] \n  22 -> 24 [size =\"23789568\"]\n  23 [size=\"74649600\", alpha=\"0.02\", expect_size=\"37324800\"] \n  24 [size=\"27867136\", alpha=\"0.07\", expect_size=\"13933568\"] \n  24 -> 25 [size =\"13933568\"]\n  25 [size=\"100169728\", alpha=\"0.08\", expect_size=\"50084864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161771520\", alpha=\"0.01\", expect_size=\"48531456\"] \n  1 -> 2 [size =\"48531456\"]\n  2 [size=\"134918827\", alpha=\"0.06\", expect_size=\"40475648\"] \n  2 -> 3 [size =\"40475648\"]\n  3 [size=\"106717867\", alpha=\"0.08\", expect_size=\"32015360\"] \n  3 -> 4 [size =\"32015360\"]\n  3 -> 5 [size =\"32015360\"]\n  4 [size=\"26265600\", alpha=\"0.12\", expect_size=\"7879680\"] \n  4 -> 6 [size =\"7879680\"]\n  5 [size=\"49664000\", alpha=\"0.00\", expect_size=\"14899200\"] \n  6 [size=\"145541120\", alpha=\"0.01\", expect_size=\"43662336\"] \n  6 -> 7 [size =\"43662336\"]\n  7 [size=\"36577280\", alpha=\"0.09\", expect_size=\"10973184\"] \n  7 -> 8 [size =\"10973184\"]\n  8 [size=\"93313707\", alpha=\"0.12\", expect_size=\"27994112\"] \n  8 -> 9 [size =\"27994112\"]\n  8 -> 10 [size =\"27994112\"]\n  9 [size=\"28494507\", alpha=\"0.02\", expect_size=\"8548352\"] \n  9 -> 11 [size =\"8548352\"]\n  10 [size=\"117418667\", alpha=\"0.12\", expect_size=\"35225600\"] \n  11 [size=\"88698880\", alpha=\"0.07\", expect_size=\"26609664\"] \n  11 -> 12 [size =\"26609664\"]\n  12 [size=\"100215467\", alpha=\"0.16\", expect_size=\"30064640\"] \n  12 -> 13 [size =\"30064640\"]\n  13 [size=\"150347093\", alpha=\"0.11\", expect_size=\"45104128\"] \n  13 -> 14 [size =\"45104128\"]\n  14 [size=\"56623787\", alpha=\"0.17\", expect_size=\"16987136\"] \n  14 -> 15 [size =\"16987136\"]\n  14 -> 16 [size =\"16987136\"]\n  15 [size=\"149899947\", alpha=\"0.07\", expect_size=\"44969984\"] \n  16 [size=\"151866027\", alpha=\"0.06\", expect_size=\"45559808\"] \n  16 -> 17 [size =\"45559808\"]\n  17 [size=\"163287040\", alpha=\"0.16\", expect_size=\"48986112\"] \n  17 -> 18 [size =\"48986112\"]\n  18 [size=\"79264427\", alpha=\"0.06\", expect_size=\"23779328\"] \n  18 -> 19 [size =\"23779328\"]\n  18 -> 20 [size =\"23779328\"]\n  19 [size=\"174428160\", alpha=\"0.06\", expect_size=\"52328448\"] \n  19 -> 21 [size =\"52328448\"]\n  20 [size=\"30532267\", alpha=\"0.02\", expect_size=\"9159680\"] \n  20 -> 22 [size =\"9159680\"]\n  21 [size=\"122695680\", alpha=\"0.16\", expect_size=\"36808704\"] \n  21 -> 24 [size =\"36808704\"]\n  22 [size=\"17718613\", alpha=\"0.05\", expect_size=\"5315584\"] \n  22 -> 23 [size =\"5315584\"]\n  23 [size=\"147438933\", alpha=\"0.06\", expect_size=\"44231680\"] \n  23 -> 25 [size =\"44231680\"]\n  24 [size=\"75789653\", alpha=\"0.07\", expect_size=\"22736896\"] \n  25 [size=\"53995520\", alpha=\"0.13\", expect_size=\"16198656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14968320\", alpha=\"0.07\", expect_size=\"5987328\"] \n  1 -> 19 [size =\"5987328\"]\n  1 -> 22 [size =\"5987328\"]\n  1 -> 23 [size =\"5987328\"]\n  2 [size=\"71037440\", alpha=\"0.02\", expect_size=\"28414976\"] \n  2 -> 19 [size =\"28414976\"]\n  2 -> 25 [size =\"28414976\"]\n  3 [size=\"71088640\", alpha=\"0.11\", expect_size=\"28435456\"] \n  3 -> 24 [size =\"28435456\"]\n  4 [size=\"124938240\", alpha=\"0.11\", expect_size=\"49975296\"] \n  4 -> 22 [size =\"49975296\"]\n  4 -> 23 [size =\"49975296\"]\n  5 [size=\"65671680\", alpha=\"0.13\", expect_size=\"26268672\"] \n  5 -> 19 [size =\"26268672\"]\n  5 -> 22 [size =\"26268672\"]\n  5 -> 25 [size =\"26268672\"]\n  6 [size=\"73077760\", alpha=\"0.14\", expect_size=\"29231104\"] \n  6 -> 20 [size =\"29231104\"]\n  6 -> 22 [size =\"29231104\"]\n  6 -> 25 [size =\"29231104\"]\n  7 [size=\"56345600\", alpha=\"0.03\", expect_size=\"22538240\"] \n  7 -> 17 [size =\"22538240\"]\n  8 [size=\"37306880\", alpha=\"0.10\", expect_size=\"14922752\"] \n  8 -> 25 [size =\"14922752\"]\n  9 [size=\"25451520\", alpha=\"0.14\", expect_size=\"10180608\"] \n  9 -> 23 [size =\"10180608\"]\n  10 [size=\"60738560\", alpha=\"0.01\", expect_size=\"24295424\"] \n  10 -> 21 [size =\"24295424\"]\n  10 -> 23 [size =\"24295424\"]\n  10 -> 24 [size =\"24295424\"]\n  11 [size=\"115824640\", alpha=\"0.06\", expect_size=\"46329856\"] \n  11 -> 24 [size =\"46329856\"]\n  11 -> 25 [size =\"46329856\"]\n  12 [size=\"40166400\", alpha=\"0.06\", expect_size=\"16066560\"] \n  12 -> 18 [size =\"16066560\"]\n  12 -> 23 [size =\"16066560\"]\n  12 -> 25 [size =\"16066560\"]\n  13 [size=\"53227520\", alpha=\"0.07\", expect_size=\"21291008\"] \n  13 -> 18 [size =\"21291008\"]\n  13 -> 23 [size =\"21291008\"]\n  13 -> 25 [size =\"21291008\"]\n  14 [size=\"116162560\", alpha=\"0.14\", expect_size=\"46465024\"] \n  14 -> 22 [size =\"46465024\"]\n  14 -> 23 [size =\"46465024\"]\n  15 [size=\"61655040\", alpha=\"0.04\", expect_size=\"24662016\"] \n  15 -> 18 [size =\"24662016\"]\n  15 -> 22 [size =\"24662016\"]\n  15 -> 24 [size =\"24662016\"]\n  15 -> 25 [size =\"24662016\"]\n  16 [size=\"22917120\", alpha=\"0.07\", expect_size=\"9166848\"] \n  16 -> 22 [size =\"9166848\"]\n  16 -> 22 [size =\"9166848\"]\n  17 [size=\"107875840\", alpha=\"0.00\", expect_size=\"43150336\"] \n  18 [size=\"122905600\", alpha=\"0.05\", expect_size=\"49162240\"] \n  19 [size=\"63477760\", alpha=\"0.00\", expect_size=\"25391104\"] \n  20 [size=\"28712960\", alpha=\"0.06\", expect_size=\"11485184\"] \n  21 [size=\"36224000\", alpha=\"0.12\", expect_size=\"14489600\"] \n  22 [size=\"72186880\", alpha=\"0.08\", expect_size=\"28874752\"] \n  23 [size=\"110371840\", alpha=\"0.13\", expect_size=\"44148736\"] \n  24 [size=\"32663040\", alpha=\"0.18\", expect_size=\"13065216\"] \n  25 [size=\"117201920\", alpha=\"0.11\", expect_size=\"46880768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27865600\", alpha=\"0.15\", expect_size=\"11146240\"] \n  1 -> 20 [size =\"11146240\"]\n  1 -> 22 [size =\"11146240\"]\n  1 -> 23 [size =\"11146240\"]\n  1 -> 25 [size =\"11146240\"]\n  2 [size=\"64724480\", alpha=\"0.14\", expect_size=\"25889792\"] \n  2 -> 20 [size =\"25889792\"]\n  2 -> 23 [size =\"25889792\"]\n  2 -> 23 [size =\"25889792\"]\n  2 -> 25 [size =\"25889792\"]\n  3 [size=\"25884160\", alpha=\"0.11\", expect_size=\"10353664\"] \n  3 -> 20 [size =\"10353664\"]\n  3 -> 23 [size =\"10353664\"]\n  3 -> 24 [size =\"10353664\"]\n  3 -> 25 [size =\"10353664\"]\n  4 [size=\"104980480\", alpha=\"0.13\", expect_size=\"41992192\"] \n  4 -> 23 [size =\"41992192\"]\n  4 -> 25 [size =\"41992192\"]\n  5 [size=\"123671040\", alpha=\"0.01\", expect_size=\"49468416\"] \n  6 [size=\"18672640\", alpha=\"0.01\", expect_size=\"7469056\"] \n  7 [size=\"15905280\", alpha=\"0.01\", expect_size=\"6362112\"] \n  7 -> 24 [size =\"6362112\"]\n  7 -> 25 [size =\"6362112\"]\n  8 [size=\"126650880\", alpha=\"0.10\", expect_size=\"50660352\"] \n  8 -> 23 [size =\"50660352\"]\n  8 -> 25 [size =\"50660352\"]\n  9 [size=\"18129920\", alpha=\"0.18\", expect_size=\"7251968\"] \n  9 -> 23 [size =\"7251968\"]\n  10 [size=\"19456000\", alpha=\"0.10\", expect_size=\"7782400\"] \n  10 -> 20 [size =\"7782400\"]\n  10 -> 23 [size =\"7782400\"]\n  11 [size=\"54604800\", alpha=\"0.18\", expect_size=\"21841920\"] \n  11 -> 20 [size =\"21841920\"]\n  11 -> 24 [size =\"21841920\"]\n  12 [size=\"23052800\", alpha=\"0.13\", expect_size=\"9221120\"] \n  13 [size=\"106554880\", alpha=\"0.16\", expect_size=\"42621952\"] \n  13 -> 23 [size =\"42621952\"]\n  14 [size=\"54773760\", alpha=\"0.10\", expect_size=\"21909504\"] \n  14 -> 21 [size =\"21909504\"]\n  14 -> 25 [size =\"21909504\"]\n  15 [size=\"13701120\", alpha=\"0.18\", expect_size=\"5480448\"] \n  15 -> 21 [size =\"5480448\"]\n  15 -> 25 [size =\"5480448\"]\n  16 [size=\"19279360\", alpha=\"0.20\", expect_size=\"7711744\"] \n  16 -> 20 [size =\"7711744\"]\n  17 [size=\"26219520\", alpha=\"0.05\", expect_size=\"10487808\"] \n  18 [size=\"32230400\", alpha=\"0.20\", expect_size=\"12892160\"] \n  18 -> 20 [size =\"12892160\"]\n  18 -> 23 [size =\"12892160\"]\n  19 [size=\"88409600\", alpha=\"0.03\", expect_size=\"35363840\"] \n  19 -> 20 [size =\"35363840\"]\n  19 -> 22 [size =\"35363840\"]\n  20 [size=\"78481920\", alpha=\"0.14\", expect_size=\"31392768\"] \n  21 [size=\"18990080\", alpha=\"0.07\", expect_size=\"7596032\"] \n  22 [size=\"123105280\", alpha=\"0.09\", expect_size=\"49242112\"] \n  23 [size=\"79454720\", alpha=\"0.13\", expect_size=\"31781888\"] \n  24 [size=\"58744320\", alpha=\"0.13\", expect_size=\"23497728\"] \n  25 [size=\"119060480\", alpha=\"0.11\", expect_size=\"47624192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50038784\", alpha=\"0.11\", expect_size=\"25019392\"] \n  1 -> 2 [size =\"25019392\"]\n  2 [size=\"65441792\", alpha=\"0.05\", expect_size=\"32720896\"] \n  2 -> 3 [size =\"32720896\"]\n  3 [size=\"93122560\", alpha=\"0.20\", expect_size=\"46561280\"] \n  3 -> 4 [size =\"46561280\"]\n  4 [size=\"95322112\", alpha=\"0.17\", expect_size=\"47661056\"] \n  4 -> 5 [size =\"47661056\"]\n  5 [size=\"44832768\", alpha=\"0.11\", expect_size=\"22416384\"] \n  5 -> 6 [size =\"22416384\"]\n  6 [size=\"31498240\", alpha=\"0.03\", expect_size=\"15749120\"] \n  6 -> 7 [size =\"15749120\"]\n  7 [size=\"77137920\", alpha=\"0.02\", expect_size=\"38568960\"] \n  7 -> 8 [size =\"38568960\"]\n  8 [size=\"11886592\", alpha=\"0.03\", expect_size=\"5943296\"] \n  8 -> 9 [size =\"5943296\"]\n  9 [size=\"102420480\", alpha=\"0.06\", expect_size=\"51210240\"] \n  9 -> 10 [size =\"51210240\"]\n  10 [size=\"90890240\", alpha=\"0.00\", expect_size=\"45445120\"] \n  10 -> 11 [size =\"45445120\"]\n  11 [size=\"12691456\", alpha=\"0.09\", expect_size=\"6345728\"] \n  11 -> 12 [size =\"6345728\"]\n  12 [size=\"64323584\", alpha=\"0.12\", expect_size=\"32161792\"] \n  12 -> 13 [size =\"32161792\"]\n  13 [size=\"88199168\", alpha=\"0.08\", expect_size=\"44099584\"] \n  13 -> 14 [size =\"44099584\"]\n  14 [size=\"86382592\", alpha=\"0.16\", expect_size=\"43191296\"] \n  14 -> 15 [size =\"43191296\"]\n  15 [size=\"72863744\", alpha=\"0.09\", expect_size=\"36431872\"] \n  15 -> 16 [size =\"36431872\"]\n  16 [size=\"32489472\", alpha=\"0.14\", expect_size=\"16244736\"] \n  16 -> 17 [size =\"16244736\"]\n  17 [size=\"48531456\", alpha=\"0.04\", expect_size=\"24265728\"] \n  17 -> 18 [size =\"24265728\"]\n  18 [size=\"56516608\", alpha=\"0.02\", expect_size=\"28258304\"] \n  18 -> 19 [size =\"28258304\"]\n  19 [size=\"70965248\", alpha=\"0.07\", expect_size=\"35482624\"] \n  19 -> 20 [size =\"35482624\"]\n  20 [size=\"100474880\", alpha=\"0.11\", expect_size=\"50237440\"] \n  20 -> 21 [size =\"50237440\"]\n  21 [size=\"101087232\", alpha=\"0.04\", expect_size=\"50543616\"] \n  21 -> 22 [size =\"50543616\"]\n  22 [size=\"49668096\", alpha=\"0.08\", expect_size=\"24834048\"] \n  22 -> 23 [size =\"24834048\"]\n  23 [size=\"13811712\", alpha=\"0.10\", expect_size=\"6905856\"] \n  23 -> 24 [size =\"6905856\"]\n  24 [size=\"52062208\", alpha=\"0.10\", expect_size=\"26031104\"] \n  24 -> 25 [size =\"26031104\"]\n  25 [size=\"31920128\", alpha=\"0.17\", expect_size=\"15960064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102090752\", alpha=\"0.07\", expect_size=\"51045376\"] \n  1 -> 23 [size =\"51045376\"]\n  2 [size=\"37068800\", alpha=\"0.19\", expect_size=\"18534400\"] \n  2 -> 23 [size =\"18534400\"]\n  3 [size=\"38178816\", alpha=\"0.00\", expect_size=\"19089408\"] \n  3 -> 23 [size =\"19089408\"]\n  3 -> 25 [size =\"19089408\"]\n  4 [size=\"44343296\", alpha=\"0.16\", expect_size=\"22171648\"] \n  4 -> 22 [size =\"22171648\"]\n  4 -> 24 [size =\"22171648\"]\n  5 [size=\"93526016\", alpha=\"0.01\", expect_size=\"46763008\"] \n  5 -> 23 [size =\"46763008\"]\n  5 -> 25 [size =\"46763008\"]\n  6 [size=\"103854080\", alpha=\"0.03\", expect_size=\"51927040\"] \n  6 -> 23 [size =\"51927040\"]\n  6 -> 25 [size =\"51927040\"]\n  7 [size=\"11991040\", alpha=\"0.17\", expect_size=\"5995520\"] \n  7 -> 22 [size =\"5995520\"]\n  8 [size=\"59312128\", alpha=\"0.01\", expect_size=\"29656064\"] \n  8 -> 22 [size =\"29656064\"]\n  8 -> 24 [size =\"29656064\"]\n  9 [size=\"101582848\", alpha=\"0.16\", expect_size=\"50791424\"] \n  9 -> 24 [size =\"50791424\"]\n  9 -> 25 [size =\"50791424\"]\n  10 [size=\"33581056\", alpha=\"0.13\", expect_size=\"16790528\"] \n  10 -> 23 [size =\"16790528\"]\n  11 [size=\"40161280\", alpha=\"0.18\", expect_size=\"20080640\"] \n  11 -> 23 [size =\"20080640\"]\n  12 [size=\"73199616\", alpha=\"0.06\", expect_size=\"36599808\"] \n  12 -> 23 [size =\"36599808\"]\n  13 [size=\"70225920\", alpha=\"0.16\", expect_size=\"35112960\"] \n  14 [size=\"72548352\", alpha=\"0.08\", expect_size=\"36274176\"] \n  14 -> 25 [size =\"36274176\"]\n  15 [size=\"52275200\", alpha=\"0.00\", expect_size=\"26137600\"] \n  15 -> 24 [size =\"26137600\"]\n  15 -> 25 [size =\"26137600\"]\n  16 [size=\"55623680\", alpha=\"0.19\", expect_size=\"27811840\"] \n  16 -> 22 [size =\"27811840\"]\n  16 -> 24 [size =\"27811840\"]\n  16 -> 25 [size =\"27811840\"]\n  17 [size=\"67770368\", alpha=\"0.19\", expect_size=\"33885184\"] \n  17 -> 24 [size =\"33885184\"]\n  17 -> 25 [size =\"33885184\"]\n  18 [size=\"54628352\", alpha=\"0.10\", expect_size=\"27314176\"] \n  18 -> 23 [size =\"27314176\"]\n  19 [size=\"61370368\", alpha=\"0.07\", expect_size=\"30685184\"] \n  19 -> 25 [size =\"30685184\"]\n  20 [size=\"40159232\", alpha=\"0.19\", expect_size=\"20079616\"] \n  20 -> 23 [size =\"20079616\"]\n  21 [size=\"100147200\", alpha=\"0.10\", expect_size=\"50073600\"] \n  21 -> 24 [size =\"50073600\"]\n  22 [size=\"91330560\", alpha=\"0.07\", expect_size=\"45665280\"] \n  23 [size=\"23930880\", alpha=\"0.10\", expect_size=\"11965440\"] \n  24 [size=\"100282368\", alpha=\"0.00\", expect_size=\"50141184\"] \n  25 [size=\"44292096\", alpha=\"0.08\", expect_size=\"22146048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52679680\", alpha=\"0.09\", expect_size=\"21071872\"] \n  1 -> 24 [size =\"21071872\"]\n  1 -> 25 [size =\"21071872\"]\n  2 [size=\"109898240\", alpha=\"0.08\", expect_size=\"43959296\"] \n  2 -> 20 [size =\"43959296\"]\n  2 -> 21 [size =\"43959296\"]\n  2 -> 25 [size =\"43959296\"]\n  3 [size=\"110988800\", alpha=\"0.12\", expect_size=\"44395520\"] \n  3 -> 21 [size =\"44395520\"]\n  4 [size=\"122298880\", alpha=\"0.17\", expect_size=\"48919552\"] \n  4 -> 20 [size =\"48919552\"]\n  4 -> 21 [size =\"48919552\"]\n  4 -> 23 [size =\"48919552\"]\n  5 [size=\"119577600\", alpha=\"0.15\", expect_size=\"47831040\"] \n  5 -> 19 [size =\"47831040\"]\n  5 -> 20 [size =\"47831040\"]\n  5 -> 22 [size =\"47831040\"]\n  6 [size=\"25210880\", alpha=\"0.14\", expect_size=\"10084352\"] \n  7 [size=\"49768960\", alpha=\"0.17\", expect_size=\"19907584\"] \n  7 -> 19 [size =\"19907584\"]\n  7 -> 20 [size =\"19907584\"]\n  8 [size=\"124426240\", alpha=\"0.18\", expect_size=\"49770496\"] \n  8 -> 21 [size =\"49770496\"]\n  8 -> 25 [size =\"49770496\"]\n  9 [size=\"57582080\", alpha=\"0.15\", expect_size=\"23032832\"] \n  9 -> 19 [size =\"23032832\"]\n  9 -> 21 [size =\"23032832\"]\n  9 -> 23 [size =\"23032832\"]\n  10 [size=\"48839680\", alpha=\"0.06\", expect_size=\"19535872\"] \n  10 -> 21 [size =\"19535872\"]\n  10 -> 23 [size =\"19535872\"]\n  10 -> 25 [size =\"19535872\"]\n  11 [size=\"101701120\", alpha=\"0.19\", expect_size=\"40680448\"] \n  11 -> 21 [size =\"40680448\"]\n  11 -> 22 [size =\"40680448\"]\n  12 [size=\"38702080\", alpha=\"0.03\", expect_size=\"15480832\"] \n  12 -> 19 [size =\"15480832\"]\n  12 -> 21 [size =\"15480832\"]\n  12 -> 22 [size =\"15480832\"]\n  12 -> 23 [size =\"15480832\"]\n  13 [size=\"84072960\", alpha=\"0.03\", expect_size=\"33629184\"] \n  13 -> 22 [size =\"33629184\"]\n  13 -> 25 [size =\"33629184\"]\n  14 [size=\"36272640\", alpha=\"0.19\", expect_size=\"14509056\"] \n  14 -> 20 [size =\"14509056\"]\n  14 -> 22 [size =\"14509056\"]\n  15 [size=\"19038720\", alpha=\"0.04\", expect_size=\"7615488\"] \n  15 -> 20 [size =\"7615488\"]\n  15 -> 23 [size =\"7615488\"]\n  16 [size=\"109601280\", alpha=\"0.11\", expect_size=\"43840512\"] \n  16 -> 23 [size =\"43840512\"]\n  17 [size=\"74104320\", alpha=\"0.11\", expect_size=\"29641728\"] \n  17 -> 19 [size =\"29641728\"]\n  17 -> 22 [size =\"29641728\"]\n  17 -> 25 [size =\"29641728\"]\n  18 [size=\"56862720\", alpha=\"0.14\", expect_size=\"22745088\"] \n  19 [size=\"43141120\", alpha=\"0.12\", expect_size=\"17256448\"] \n  20 [size=\"16545280\", alpha=\"0.12\", expect_size=\"6618112\"] \n  21 [size=\"50286080\", alpha=\"0.19\", expect_size=\"20114432\"] \n  22 [size=\"44541440\", alpha=\"0.02\", expect_size=\"17816576\"] \n  23 [size=\"61120000\", alpha=\"0.02\", expect_size=\"24448000\"] \n  24 [size=\"81323520\", alpha=\"0.20\", expect_size=\"32529408\"] \n  25 [size=\"76705280\", alpha=\"0.16\", expect_size=\"30682112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87705600\", alpha=\"0.11\", expect_size=\"35082240\"] \n  1 -> 2 [size =\"35082240\"]\n  1 -> 3 [size =\"35082240\"]\n  2 [size=\"67023360\", alpha=\"0.15\", expect_size=\"26809344\"] \n  2 -> 4 [size =\"26809344\"]\n  3 [size=\"35264000\", alpha=\"0.07\", expect_size=\"14105600\"] \n  3 -> 4 [size =\"14105600\"]\n  3 -> 5 [size =\"14105600\"]\n  4 [size=\"48376320\", alpha=\"0.09\", expect_size=\"19350528\"] \n  5 [size=\"123240960\", alpha=\"0.14\", expect_size=\"49296384\"] \n  5 -> 6 [size =\"49296384\"]\n  6 [size=\"96701440\", alpha=\"0.00\", expect_size=\"38680576\"] \n  6 -> 7 [size =\"38680576\"]\n  7 [size=\"18250240\", alpha=\"0.18\", expect_size=\"7300096\"] \n  7 -> 8 [size =\"7300096\"]\n  8 [size=\"74383360\", alpha=\"0.02\", expect_size=\"29753344\"] \n  8 -> 9 [size =\"29753344\"]\n  8 -> 10 [size =\"29753344\"]\n  9 [size=\"28989440\", alpha=\"0.14\", expect_size=\"11595776\"] \n  10 [size=\"83166720\", alpha=\"0.07\", expect_size=\"33266688\"] \n  10 -> 11 [size =\"33266688\"]\n  11 [size=\"39892480\", alpha=\"0.02\", expect_size=\"15956992\"] \n  11 -> 12 [size =\"15956992\"]\n  11 -> 13 [size =\"15956992\"]\n  12 [size=\"101888000\", alpha=\"0.14\", expect_size=\"40755200\"] \n  12 -> 14 [size =\"40755200\"]\n  13 [size=\"73909760\", alpha=\"0.16\", expect_size=\"29563904\"] \n  14 [size=\"114767360\", alpha=\"0.03\", expect_size=\"45906944\"] \n  14 -> 15 [size =\"45906944\"]\n  14 -> 16 [size =\"45906944\"]\n  15 [size=\"51591680\", alpha=\"0.18\", expect_size=\"20636672\"] \n  15 -> 17 [size =\"20636672\"]\n  15 -> 18 [size =\"20636672\"]\n  16 [size=\"15444480\", alpha=\"0.11\", expect_size=\"6177792\"] \n  16 -> 18 [size =\"6177792\"]\n  17 [size=\"15454720\", alpha=\"0.10\", expect_size=\"6181888\"] \n  17 -> 19 [size =\"6181888\"]\n  17 -> 20 [size =\"6181888\"]\n  18 [size=\"123097600\", alpha=\"0.07\", expect_size=\"49239040\"] \n  18 -> 19 [size =\"49239040\"]\n  19 [size=\"18567680\", alpha=\"0.20\", expect_size=\"7427072\"] \n  20 [size=\"102041600\", alpha=\"0.00\", expect_size=\"40816640\"] \n  20 -> 21 [size =\"40816640\"]\n  21 [size=\"26613760\", alpha=\"0.13\", expect_size=\"10645504\"] \n  21 -> 22 [size =\"10645504\"]\n  22 [size=\"38417920\", alpha=\"0.15\", expect_size=\"15367168\"] \n  22 -> 23 [size =\"15367168\"]\n  22 -> 24 [size =\"15367168\"]\n  23 [size=\"121425920\", alpha=\"0.01\", expect_size=\"48570368\"] \n  23 -> 25 [size =\"48570368\"]\n  24 [size=\"98321920\", alpha=\"0.13\", expect_size=\"39328768\"] \n  24 -> 25 [size =\"39328768\"]\n  25 [size=\"115560960\", alpha=\"0.03\", expect_size=\"46224384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36723200\", alpha=\"0.13\", expect_size=\"14689280\"] \n  1 -> 9 [size =\"14689280\"]\n  1 -> 11 [size =\"14689280\"]\n  1 -> 12 [size =\"14689280\"]\n  1 -> 13 [size =\"14689280\"]\n  2 [size=\"79485440\", alpha=\"0.17\", expect_size=\"31794176\"] \n  2 -> 9 [size =\"31794176\"]\n  2 -> 11 [size =\"31794176\"]\n  2 -> 13 [size =\"31794176\"]\n  2 -> 13 [size =\"31794176\"]\n  2 -> 14 [size =\"31794176\"]\n  3 [size=\"28497920\", alpha=\"0.08\", expect_size=\"11399168\"] \n  3 -> 9 [size =\"11399168\"]\n  3 -> 10 [size =\"11399168\"]\n  3 -> 11 [size =\"11399168\"]\n  3 -> 13 [size =\"11399168\"]\n  4 [size=\"79009280\", alpha=\"0.01\", expect_size=\"31603712\"] \n  4 -> 10 [size =\"31603712\"]\n  4 -> 13 [size =\"31603712\"]\n  5 [size=\"130083840\", alpha=\"0.02\", expect_size=\"52033536\"] \n  5 -> 9 [size =\"52033536\"]\n  6 [size=\"53657600\", alpha=\"0.04\", expect_size=\"21463040\"] \n  6 -> 9 [size =\"21463040\"]\n  6 -> 14 [size =\"21463040\"]\n  7 [size=\"91215360\", alpha=\"0.11\", expect_size=\"36486144\"] \n  7 -> 10 [size =\"36486144\"]\n  7 -> 12 [size =\"36486144\"]\n  8 [size=\"107192320\", alpha=\"0.04\", expect_size=\"42876928\"] \n  8 -> 10 [size =\"42876928\"]\n  9 [size=\"29713920\", alpha=\"0.09\", expect_size=\"11885568\"] \n  9 -> 15 [size =\"11885568\"]\n  9 -> 19 [size =\"11885568\"]\n  10 [size=\"82106880\", alpha=\"0.10\", expect_size=\"32842752\"] \n  10 -> 15 [size =\"32842752\"]\n  10 -> 17 [size =\"32842752\"]\n  10 -> 18 [size =\"32842752\"]\n  11 [size=\"16583680\", alpha=\"0.04\", expect_size=\"6633472\"] \n  11 -> 15 [size =\"6633472\"]\n  11 -> 16 [size =\"6633472\"]\n  11 -> 18 [size =\"6633472\"]\n  11 -> 20 [size =\"6633472\"]\n  12 [size=\"91102720\", alpha=\"0.05\", expect_size=\"36441088\"] \n  12 -> 19 [size =\"36441088\"]\n  13 [size=\"75450880\", alpha=\"0.06\", expect_size=\"30180352\"] \n  13 -> 18 [size =\"30180352\"]\n  14 [size=\"121697280\", alpha=\"0.13\", expect_size=\"48678912\"] \n  14 -> 20 [size =\"48678912\"]\n  15 [size=\"129584640\", alpha=\"0.06\", expect_size=\"51833856\"] \n  15 -> 21 [size =\"51833856\"]\n  16 [size=\"25687040\", alpha=\"0.18\", expect_size=\"10274816\"] \n  17 [size=\"49730560\", alpha=\"0.07\", expect_size=\"19892224\"] \n  17 -> 21 [size =\"19892224\"]\n  17 -> 22 [size =\"19892224\"]\n  17 -> 23 [size =\"19892224\"]\n  17 -> 25 [size =\"19892224\"]\n  18 [size=\"114547200\", alpha=\"0.11\", expect_size=\"45818880\"] \n  18 -> 22 [size =\"45818880\"]\n  18 -> 23 [size =\"45818880\"]\n  19 [size=\"22574080\", alpha=\"0.02\", expect_size=\"9029632\"] \n  20 [size=\"75525120\", alpha=\"0.15\", expect_size=\"30210048\"] \n  20 -> 21 [size =\"30210048\"]\n  20 -> 22 [size =\"30210048\"]\n  20 -> 23 [size =\"30210048\"]\n  20 -> 24 [size =\"30210048\"]\n  20 -> 25 [size =\"30210048\"]\n  21 [size=\"15564800\", alpha=\"0.11\", expect_size=\"6225920\"] \n  22 [size=\"38174720\", alpha=\"0.20\", expect_size=\"15269888\"] \n  23 [size=\"66347520\", alpha=\"0.10\", expect_size=\"26539008\"] \n  24 [size=\"102520320\", alpha=\"0.12\", expect_size=\"41008128\"] \n  25 [size=\"63511040\", alpha=\"0.14\", expect_size=\"25404416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18124800\", alpha=\"0.03\", expect_size=\"9062400\"] \n  1 -> 9 [size =\"9062400\"]\n  1 -> 10 [size =\"9062400\"]\n  1 -> 11 [size =\"9062400\"]\n  1 -> 12 [size =\"9062400\"]\n  1 -> 17 [size =\"9062400\"]\n  2 [size=\"43442176\", alpha=\"0.03\", expect_size=\"21721088\"] \n  2 -> 8 [size =\"21721088\"]\n  2 -> 9 [size =\"21721088\"]\n  2 -> 13 [size =\"21721088\"]\n  2 -> 18 [size =\"21721088\"]\n  3 [size=\"13436928\", alpha=\"0.18\", expect_size=\"6718464\"] \n  3 -> 8 [size =\"6718464\"]\n  3 -> 12 [size =\"6718464\"]\n  3 -> 15 [size =\"6718464\"]\n  3 -> 16 [size =\"6718464\"]\n  3 -> 17 [size =\"6718464\"]\n  3 -> 18 [size =\"6718464\"]\n  4 [size=\"75433984\", alpha=\"0.07\", expect_size=\"37716992\"] \n  4 -> 8 [size =\"37716992\"]\n  4 -> 9 [size =\"37716992\"]\n  4 -> 12 [size =\"37716992\"]\n  4 -> 16 [size =\"37716992\"]\n  4 -> 17 [size =\"37716992\"]\n  4 -> 18 [size =\"37716992\"]\n  5 [size=\"102830080\", alpha=\"0.13\", expect_size=\"51415040\"] \n  5 -> 8 [size =\"51415040\"]\n  5 -> 10 [size =\"51415040\"]\n  5 -> 11 [size =\"51415040\"]\n  5 -> 12 [size =\"51415040\"]\n  5 -> 16 [size =\"51415040\"]\n  5 -> 17 [size =\"51415040\"]\n  5 -> 18 [size =\"51415040\"]\n  6 [size=\"104542208\", alpha=\"0.05\", expect_size=\"52271104\"] \n  6 -> 10 [size =\"52271104\"]\n  6 -> 12 [size =\"52271104\"]\n  6 -> 14 [size =\"52271104\"]\n  6 -> 17 [size =\"52271104\"]\n  7 [size=\"38944768\", alpha=\"0.13\", expect_size=\"19472384\"] \n  7 -> 8 [size =\"19472384\"]\n  7 -> 11 [size =\"19472384\"]\n  7 -> 12 [size =\"19472384\"]\n  7 -> 15 [size =\"19472384\"]\n  7 -> 17 [size =\"19472384\"]\n  7 -> 18 [size =\"19472384\"]\n  8 [size=\"104468480\", alpha=\"0.02\", expect_size=\"52234240\"] \n  8 -> 22 [size =\"52234240\"]\n  8 -> 25 [size =\"52234240\"]\n  9 [size=\"66740224\", alpha=\"0.13\", expect_size=\"33370112\"] \n  9 -> 19 [size =\"33370112\"]\n  9 -> 20 [size =\"33370112\"]\n  9 -> 21 [size =\"33370112\"]\n  9 -> 22 [size =\"33370112\"]\n  9 -> 24 [size =\"33370112\"]\n  9 -> 25 [size =\"33370112\"]\n  10 [size=\"25833472\", alpha=\"0.12\", expect_size=\"12916736\"] \n  10 -> 19 [size =\"12916736\"]\n  10 -> 21 [size =\"12916736\"]\n  10 -> 22 [size =\"12916736\"]\n  10 -> 25 [size =\"12916736\"]\n  11 [size=\"39464960\", alpha=\"0.13\", expect_size=\"19732480\"] \n  11 -> 19 [size =\"19732480\"]\n  11 -> 20 [size =\"19732480\"]\n  11 -> 21 [size =\"19732480\"]\n  11 -> 22 [size =\"19732480\"]\n  12 [size=\"52408320\", alpha=\"0.06\", expect_size=\"26204160\"] \n  12 -> 19 [size =\"26204160\"]\n  12 -> 20 [size =\"26204160\"]\n  12 -> 21 [size =\"26204160\"]\n  12 -> 22 [size =\"26204160\"]\n  12 -> 24 [size =\"26204160\"]\n  13 [size=\"66830336\", alpha=\"0.19\", expect_size=\"33415168\"] \n  13 -> 19 [size =\"33415168\"]\n  13 -> 21 [size =\"33415168\"]\n  13 -> 24 [size =\"33415168\"]\n  13 -> 25 [size =\"33415168\"]\n  14 [size=\"56000512\", alpha=\"0.02\", expect_size=\"28000256\"] \n  14 -> 19 [size =\"28000256\"]\n  14 -> 20 [size =\"28000256\"]\n  14 -> 21 [size =\"28000256\"]\n  14 -> 23 [size =\"28000256\"]\n  14 -> 24 [size =\"28000256\"]\n  14 -> 25 [size =\"28000256\"]\n  15 [size=\"87918592\", alpha=\"0.19\", expect_size=\"43959296\"] \n  15 -> 20 [size =\"43959296\"]\n  15 -> 21 [size =\"43959296\"]\n  15 -> 21 [size =\"43959296\"]\n  15 -> 22 [size =\"43959296\"]\n  15 -> 25 [size =\"43959296\"]\n  16 [size=\"56936448\", alpha=\"0.12\", expect_size=\"28468224\"] \n  16 -> 23 [size =\"28468224\"]\n  16 -> 24 [size =\"28468224\"]\n  16 -> 25 [size =\"28468224\"]\n  17 [size=\"78217216\", alpha=\"0.13\", expect_size=\"39108608\"] \n  17 -> 19 [size =\"39108608\"]\n  17 -> 21 [size =\"39108608\"]\n  17 -> 22 [size =\"39108608\"]\n  17 -> 23 [size =\"39108608\"]\n  17 -> 24 [size =\"39108608\"]\n  17 -> 25 [size =\"39108608\"]\n  18 [size=\"44947456\", alpha=\"0.08\", expect_size=\"22473728\"] \n  18 -> 19 [size =\"22473728\"]\n  18 -> 20 [size =\"22473728\"]\n  18 -> 21 [size =\"22473728\"]\n  18 -> 22 [size =\"22473728\"]\n  18 -> 23 [size =\"22473728\"]\n  18 -> 24 [size =\"22473728\"]\n  18 -> 25 [size =\"22473728\"]\n  19 [size=\"55203840\", alpha=\"0.14\", expect_size=\"27601920\"] \n  20 [size=\"22583296\", alpha=\"0.03\", expect_size=\"11291648\"] \n  21 [size=\"76894208\", alpha=\"0.14\", expect_size=\"38447104\"] \n  22 [size=\"42860544\", alpha=\"0.12\", expect_size=\"21430272\"] \n  23 [size=\"69933056\", alpha=\"0.11\", expect_size=\"34966528\"] \n  24 [size=\"63332352\", alpha=\"0.03\", expect_size=\"31666176\"] \n  25 [size=\"71346176\", alpha=\"0.15\", expect_size=\"35673088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39651840\", alpha=\"0.02\", expect_size=\"15860736\"] \n  1 -> 12 [size =\"15860736\"]\n  1 -> 13 [size =\"15860736\"]\n  1 -> 14 [size =\"15860736\"]\n  1 -> 15 [size =\"15860736\"]\n  1 -> 21 [size =\"15860736\"]\n  2 [size=\"81044480\", alpha=\"0.05\", expect_size=\"32417792\"] \n  2 -> 14 [size =\"32417792\"]\n  2 -> 15 [size =\"32417792\"]\n  2 -> 17 [size =\"32417792\"]\n  2 -> 18 [size =\"32417792\"]\n  2 -> 19 [size =\"32417792\"]\n  2 -> 21 [size =\"32417792\"]\n  3 [size=\"37434880\", alpha=\"0.04\", expect_size=\"14973952\"] \n  3 -> 13 [size =\"14973952\"]\n  3 -> 16 [size =\"14973952\"]\n  3 -> 21 [size =\"14973952\"]\n  4 [size=\"130795520\", alpha=\"0.07\", expect_size=\"52318208\"] \n  4 -> 20 [size =\"52318208\"]\n  4 -> 21 [size =\"52318208\"]\n  5 [size=\"119984640\", alpha=\"0.04\", expect_size=\"47993856\"] \n  5 -> 13 [size =\"47993856\"]\n  5 -> 14 [size =\"47993856\"]\n  5 -> 16 [size =\"47993856\"]\n  5 -> 17 [size =\"47993856\"]\n  5 -> 20 [size =\"47993856\"]\n  6 [size=\"118469120\", alpha=\"0.18\", expect_size=\"47387648\"] \n  6 -> 12 [size =\"47387648\"]\n  6 -> 14 [size =\"47387648\"]\n  6 -> 15 [size =\"47387648\"]\n  7 [size=\"62919680\", alpha=\"0.18\", expect_size=\"25167872\"] \n  7 -> 13 [size =\"25167872\"]\n  7 -> 18 [size =\"25167872\"]\n  7 -> 21 [size =\"25167872\"]\n  8 [size=\"68538880\", alpha=\"0.11\", expect_size=\"27415552\"] \n  8 -> 12 [size =\"27415552\"]\n  8 -> 18 [size =\"27415552\"]\n  8 -> 21 [size =\"27415552\"]\n  9 [size=\"13701120\", alpha=\"0.16\", expect_size=\"5480448\"] \n  9 -> 12 [size =\"5480448\"]\n  9 -> 18 [size =\"5480448\"]\n  9 -> 20 [size =\"5480448\"]\n  9 -> 21 [size =\"5480448\"]\n  10 [size=\"62223360\", alpha=\"0.11\", expect_size=\"24889344\"] \n  10 -> 12 [size =\"24889344\"]\n  10 -> 13 [size =\"24889344\"]\n  10 -> 14 [size =\"24889344\"]\n  10 -> 18 [size =\"24889344\"]\n  10 -> 20 [size =\"24889344\"]\n  10 -> 21 [size =\"24889344\"]\n  11 [size=\"33218560\", alpha=\"0.10\", expect_size=\"13287424\"] \n  11 -> 12 [size =\"13287424\"]\n  11 -> 14 [size =\"13287424\"]\n  11 -> 15 [size =\"13287424\"]\n  11 -> 19 [size =\"13287424\"]\n  11 -> 21 [size =\"13287424\"]\n  11 -> 21 [size =\"13287424\"]\n  12 [size=\"43141120\", alpha=\"0.05\", expect_size=\"17256448\"] \n  12 -> 25 [size =\"17256448\"]\n  13 [size=\"75008000\", alpha=\"0.18\", expect_size=\"30003200\"] \n  13 -> 23 [size =\"30003200\"]\n  13 -> 25 [size =\"30003200\"]\n  14 [size=\"100564480\", alpha=\"0.03\", expect_size=\"40225792\"] \n  14 -> 25 [size =\"40225792\"]\n  15 [size=\"21588480\", alpha=\"0.18\", expect_size=\"8635392\"] \n  15 -> 25 [size =\"8635392\"]\n  16 [size=\"46489600\", alpha=\"0.18\", expect_size=\"18595840\"] \n  16 -> 23 [size =\"18595840\"]\n  16 -> 25 [size =\"18595840\"]\n  17 [size=\"32701440\", alpha=\"0.07\", expect_size=\"13080576\"] \n  17 -> 25 [size =\"13080576\"]\n  17 -> 25 [size =\"13080576\"]\n  18 [size=\"21498880\", alpha=\"0.01\", expect_size=\"8599552\"] \n  18 -> 25 [size =\"8599552\"]\n  19 [size=\"85957120\", alpha=\"0.12\", expect_size=\"34382848\"] \n  19 -> 22 [size =\"34382848\"]\n  19 -> 23 [size =\"34382848\"]\n  20 [size=\"62786560\", alpha=\"0.19\", expect_size=\"25114624\"] \n  20 -> 23 [size =\"25114624\"]\n  21 [size=\"128235520\", alpha=\"0.12\", expect_size=\"51294208\"] \n  21 -> 24 [size =\"51294208\"]\n  21 -> 25 [size =\"51294208\"]\n  22 [size=\"68236800\", alpha=\"0.15\", expect_size=\"27294720\"] \n  23 [size=\"95884800\", alpha=\"0.03\", expect_size=\"38353920\"] \n  24 [size=\"84433920\", alpha=\"0.11\", expect_size=\"33773568\"] \n  25 [size=\"104355840\", alpha=\"0.17\", expect_size=\"41742336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32652800\", alpha=\"0.08\", expect_size=\"13061120\"] \n  1 -> 2 [size =\"13061120\"]\n  2 [size=\"35082240\", alpha=\"0.13\", expect_size=\"14032896\"] \n  2 -> 3 [size =\"14032896\"]\n  3 [size=\"104898560\", alpha=\"0.20\", expect_size=\"41959424\"] \n  3 -> 4 [size =\"41959424\"]\n  4 [size=\"88632320\", alpha=\"0.00\", expect_size=\"35452928\"] \n  4 -> 5 [size =\"35452928\"]\n  5 [size=\"64350720\", alpha=\"0.18\", expect_size=\"25740288\"] \n  5 -> 6 [size =\"25740288\"]\n  6 [size=\"108111360\", alpha=\"0.19\", expect_size=\"43244544\"] \n  6 -> 7 [size =\"43244544\"]\n  7 [size=\"83896320\", alpha=\"0.15\", expect_size=\"33558528\"] \n  7 -> 8 [size =\"33558528\"]\n  8 [size=\"62504960\", alpha=\"0.09\", expect_size=\"25001984\"] \n  8 -> 9 [size =\"25001984\"]\n  9 [size=\"35589120\", alpha=\"0.10\", expect_size=\"14235648\"] \n  9 -> 10 [size =\"14235648\"]\n  10 [size=\"97116160\", alpha=\"0.13\", expect_size=\"38846464\"] \n  10 -> 11 [size =\"38846464\"]\n  11 [size=\"87485440\", alpha=\"0.12\", expect_size=\"34994176\"] \n  11 -> 12 [size =\"34994176\"]\n  12 [size=\"14755840\", alpha=\"0.00\", expect_size=\"5902336\"] \n  12 -> 13 [size =\"5902336\"]\n  13 [size=\"89507840\", alpha=\"0.10\", expect_size=\"35803136\"] \n  13 -> 14 [size =\"35803136\"]\n  14 [size=\"88404480\", alpha=\"0.06\", expect_size=\"35361792\"] \n  14 -> 15 [size =\"35361792\"]\n  15 [size=\"90004480\", alpha=\"0.19\", expect_size=\"36001792\"] \n  15 -> 16 [size =\"36001792\"]\n  16 [size=\"77207040\", alpha=\"0.05\", expect_size=\"30882816\"] \n  16 -> 17 [size =\"30882816\"]\n  17 [size=\"68756480\", alpha=\"0.09\", expect_size=\"27502592\"] \n  17 -> 18 [size =\"27502592\"]\n  18 [size=\"37857280\", alpha=\"0.04\", expect_size=\"15142912\"] \n  18 -> 19 [size =\"15142912\"]\n  19 [size=\"93670400\", alpha=\"0.06\", expect_size=\"37468160\"] \n  19 -> 20 [size =\"37468160\"]\n  20 [size=\"34188800\", alpha=\"0.15\", expect_size=\"13675520\"] \n  20 -> 21 [size =\"13675520\"]\n  21 [size=\"109352960\", alpha=\"0.07\", expect_size=\"43741184\"] \n  21 -> 22 [size =\"43741184\"]\n  22 [size=\"61734400\", alpha=\"0.03\", expect_size=\"24693760\"] \n  22 -> 23 [size =\"24693760\"]\n  23 [size=\"64064000\", alpha=\"0.14\", expect_size=\"25625600\"] \n  23 -> 24 [size =\"25625600\"]\n  24 [size=\"125317120\", alpha=\"0.19\", expect_size=\"50126848\"] \n  24 -> 25 [size =\"50126848\"]\n  25 [size=\"45301760\", alpha=\"0.12\", expect_size=\"18120704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96853333\", alpha=\"0.09\", expect_size=\"29056000\"] \n  1 -> 13 [size =\"29056000\"]\n  1 -> 16 [size =\"29056000\"]\n  2 [size=\"99106133\", alpha=\"0.10\", expect_size=\"29731840\"] \n  2 -> 9 [size =\"29731840\"]\n  2 -> 13 [size =\"29731840\"]\n  2 -> 16 [size =\"29731840\"]\n  3 [size=\"102976853\", alpha=\"0.17\", expect_size=\"30893056\"] \n  4 [size=\"33389227\", alpha=\"0.16\", expect_size=\"10016768\"] \n  4 -> 10 [size =\"10016768\"]\n  4 -> 12 [size =\"10016768\"]\n  4 -> 15 [size =\"10016768\"]\n  5 [size=\"55592960\", alpha=\"0.15\", expect_size=\"16677888\"] \n  6 [size=\"121804800\", alpha=\"0.13\", expect_size=\"36541440\"] \n  6 -> 13 [size =\"36541440\"]\n  6 -> 14 [size =\"36541440\"]\n  7 [size=\"38819840\", alpha=\"0.18\", expect_size=\"11645952\"] \n  7 -> 10 [size =\"11645952\"]\n  7 -> 11 [size =\"11645952\"]\n  7 -> 14 [size =\"11645952\"]\n  7 -> 15 [size =\"11645952\"]\n  8 [size=\"77844480\", alpha=\"0.18\", expect_size=\"23353344\"] \n  8 -> 10 [size =\"23353344\"]\n  8 -> 14 [size =\"23353344\"]\n  9 [size=\"61709653\", alpha=\"0.01\", expect_size=\"18512896\"] \n  9 -> 18 [size =\"18512896\"]\n  9 -> 23 [size =\"18512896\"]\n  9 -> 24 [size =\"18512896\"]\n  10 [size=\"154767360\", alpha=\"0.09\", expect_size=\"46430208\"] \n  10 -> 17 [size =\"46430208\"]\n  10 -> 18 [size =\"46430208\"]\n  10 -> 22 [size =\"46430208\"]\n  10 -> 23 [size =\"46430208\"]\n  11 [size=\"148855467\", alpha=\"0.02\", expect_size=\"44656640\"] \n  11 -> 20 [size =\"44656640\"]\n  11 -> 21 [size =\"44656640\"]\n  11 -> 22 [size =\"44656640\"]\n  11 -> 23 [size =\"44656640\"]\n  12 [size=\"64631467\", alpha=\"0.01\", expect_size=\"19389440\"] \n  12 -> 17 [size =\"19389440\"]\n  12 -> 20 [size =\"19389440\"]\n  13 [size=\"141482667\", alpha=\"0.05\", expect_size=\"42444800\"] \n  13 -> 17 [size =\"42444800\"]\n  13 -> 18 [size =\"42444800\"]\n  13 -> 20 [size =\"42444800\"]\n  13 -> 21 [size =\"42444800\"]\n  13 -> 22 [size =\"42444800\"]\n  13 -> 23 [size =\"42444800\"]\n  13 -> 25 [size =\"42444800\"]\n  14 [size=\"119463253\", alpha=\"0.14\", expect_size=\"35838976\"] \n  14 -> 18 [size =\"35838976\"]\n  14 -> 20 [size =\"35838976\"]\n  14 -> 21 [size =\"35838976\"]\n  15 [size=\"86729387\", alpha=\"0.03\", expect_size=\"26018816\"] \n  15 -> 18 [size =\"26018816\"]\n  15 -> 19 [size =\"26018816\"]\n  15 -> 21 [size =\"26018816\"]\n  15 -> 23 [size =\"26018816\"]\n  16 [size=\"49305600\", alpha=\"0.16\", expect_size=\"14791680\"] \n  16 -> 17 [size =\"14791680\"]\n  16 -> 19 [size =\"14791680\"]\n  16 -> 25 [size =\"14791680\"]\n  17 [size=\"153958400\", alpha=\"0.01\", expect_size=\"46187520\"] \n  18 [size=\"135239680\", alpha=\"0.14\", expect_size=\"40571904\"] \n  19 [size=\"115650560\", alpha=\"0.02\", expect_size=\"34695168\"] \n  20 [size=\"123071147\", alpha=\"0.15\", expect_size=\"36921344\"] \n  21 [size=\"36375893\", alpha=\"0.19\", expect_size=\"10912768\"] \n  22 [size=\"55138987\", alpha=\"0.13\", expect_size=\"16541696\"] \n  23 [size=\"61429760\", alpha=\"0.18\", expect_size=\"18428928\"] \n  24 [size=\"99764907\", alpha=\"0.06\", expect_size=\"29929472\"] \n  25 [size=\"54756693\", alpha=\"0.18\", expect_size=\"16427008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111411200\", alpha=\"0.04\", expect_size=\"33423360\"] \n  1 -> 3 [size =\"33423360\"]\n  1 -> 4 [size =\"33423360\"]\n  1 -> 6 [size =\"33423360\"]\n  2 [size=\"45960533\", alpha=\"0.11\", expect_size=\"13788160\"] \n  2 -> 3 [size =\"13788160\"]\n  2 -> 4 [size =\"13788160\"]\n  2 -> 5 [size =\"13788160\"]\n  3 [size=\"60252160\", alpha=\"0.16\", expect_size=\"18075648\"] \n  3 -> 7 [size =\"18075648\"]\n  3 -> 9 [size =\"18075648\"]\n  4 [size=\"62617600\", alpha=\"0.19\", expect_size=\"18785280\"] \n  5 [size=\"65583787\", alpha=\"0.04\", expect_size=\"19675136\"] \n  5 -> 7 [size =\"19675136\"]\n  5 -> 8 [size =\"19675136\"]\n  5 -> 10 [size =\"19675136\"]\n  6 [size=\"114728960\", alpha=\"0.02\", expect_size=\"34418688\"] \n  6 -> 7 [size =\"34418688\"]\n  6 -> 8 [size =\"34418688\"]\n  6 -> 10 [size =\"34418688\"]\n  7 [size=\"62955520\", alpha=\"0.01\", expect_size=\"18886656\"] \n  7 -> 13 [size =\"18886656\"]\n  8 [size=\"43885227\", alpha=\"0.02\", expect_size=\"13165568\"] \n  8 -> 13 [size =\"13165568\"]\n  8 -> 14 [size =\"13165568\"]\n  9 [size=\"158132907\", alpha=\"0.14\", expect_size=\"47439872\"] \n  9 -> 11 [size =\"47439872\"]\n  9 -> 12 [size =\"47439872\"]\n  9 -> 14 [size =\"47439872\"]\n  10 [size=\"163921920\", alpha=\"0.19\", expect_size=\"49176576\"] \n  10 -> 13 [size =\"49176576\"]\n  10 -> 14 [size =\"49176576\"]\n  11 [size=\"86626987\", alpha=\"0.03\", expect_size=\"25988096\"] \n  12 [size=\"121224533\", alpha=\"0.01\", expect_size=\"36367360\"] \n  12 -> 15 [size =\"36367360\"]\n  13 [size=\"53637120\", alpha=\"0.04\", expect_size=\"16091136\"] \n  13 -> 16 [size =\"16091136\"]\n  14 [size=\"22272000\", alpha=\"0.15\", expect_size=\"6681600\"] \n  14 -> 16 [size =\"6681600\"]\n  15 [size=\"172298240\", alpha=\"0.10\", expect_size=\"51689472\"] \n  15 -> 18 [size =\"51689472\"]\n  15 -> 19 [size =\"51689472\"]\n  15 -> 20 [size =\"51689472\"]\n  16 [size=\"43410773\", alpha=\"0.07\", expect_size=\"13023232\"] \n  16 -> 17 [size =\"13023232\"]\n  16 -> 18 [size =\"13023232\"]\n  16 -> 20 [size =\"13023232\"]\n  17 [size=\"55872853\", alpha=\"0.10\", expect_size=\"16761856\"] \n  17 -> 21 [size =\"16761856\"]\n  17 -> 23 [size =\"16761856\"]\n  18 [size=\"64136533\", alpha=\"0.12\", expect_size=\"19240960\"] \n  18 -> 21 [size =\"19240960\"]\n  19 [size=\"76352853\", alpha=\"0.05\", expect_size=\"22905856\"] \n  19 -> 22 [size =\"22905856\"]\n  20 [size=\"32296960\", alpha=\"0.16\", expect_size=\"9689088\"] \n  20 -> 21 [size =\"9689088\"]\n  20 -> 22 [size =\"9689088\"]\n  20 -> 23 [size =\"9689088\"]\n  21 [size=\"25658027\", alpha=\"0.20\", expect_size=\"7697408\"] \n  21 -> 24 [size =\"7697408\"]\n  21 -> 25 [size =\"7697408\"]\n  22 [size=\"51923627\", alpha=\"0.06\", expect_size=\"15577088\"] \n  22 -> 24 [size =\"15577088\"]\n  23 [size=\"62365013\", alpha=\"0.19\", expect_size=\"18709504\"] \n  24 [size=\"97402880\", alpha=\"0.17\", expect_size=\"29220864\"] \n  25 [size=\"60675413\", alpha=\"0.01\", expect_size=\"18202624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104526507\", alpha=\"0.12\", expect_size=\"31357952\"] \n  1 -> 2 [size =\"31357952\"]\n  2 [size=\"57845760\", alpha=\"0.07\", expect_size=\"17353728\"] \n  2 -> 3 [size =\"17353728\"]\n  3 [size=\"17899520\", alpha=\"0.11\", expect_size=\"5369856\"] \n  3 -> 4 [size =\"5369856\"]\n  4 [size=\"141772800\", alpha=\"0.18\", expect_size=\"42531840\"] \n  4 -> 5 [size =\"42531840\"]\n  5 [size=\"136448000\", alpha=\"0.12\", expect_size=\"40934400\"] \n  5 -> 6 [size =\"40934400\"]\n  6 [size=\"39901867\", alpha=\"0.12\", expect_size=\"11970560\"] \n  6 -> 7 [size =\"11970560\"]\n  7 [size=\"151773867\", alpha=\"0.18\", expect_size=\"45532160\"] \n  7 -> 8 [size =\"45532160\"]\n  8 [size=\"86804480\", alpha=\"0.04\", expect_size=\"26041344\"] \n  8 -> 9 [size =\"26041344\"]\n  9 [size=\"77977600\", alpha=\"0.13\", expect_size=\"23393280\"] \n  9 -> 10 [size =\"23393280\"]\n  10 [size=\"134956373\", alpha=\"0.01\", expect_size=\"40486912\"] \n  10 -> 11 [size =\"40486912\"]\n  11 [size=\"105721173\", alpha=\"0.15\", expect_size=\"31716352\"] \n  11 -> 12 [size =\"31716352\"]\n  12 [size=\"39325013\", alpha=\"0.02\", expect_size=\"11797504\"] \n  12 -> 13 [size =\"11797504\"]\n  13 [size=\"95119360\", alpha=\"0.19\", expect_size=\"28535808\"] \n  13 -> 14 [size =\"28535808\"]\n  14 [size=\"21411840\", alpha=\"0.15\", expect_size=\"6423552\"] \n  14 -> 15 [size =\"6423552\"]\n  15 [size=\"160368640\", alpha=\"0.13\", expect_size=\"48110592\"] \n  15 -> 16 [size =\"48110592\"]\n  16 [size=\"97314133\", alpha=\"0.05\", expect_size=\"29194240\"] \n  16 -> 17 [size =\"29194240\"]\n  17 [size=\"36396373\", alpha=\"0.01\", expect_size=\"10918912\"] \n  17 -> 18 [size =\"10918912\"]\n  18 [size=\"174489600\", alpha=\"0.01\", expect_size=\"52346880\"] \n  18 -> 19 [size =\"52346880\"]\n  19 [size=\"49493333\", alpha=\"0.07\", expect_size=\"14848000\"] \n  19 -> 20 [size =\"14848000\"]\n  20 [size=\"154808320\", alpha=\"0.04\", expect_size=\"46442496\"] \n  20 -> 21 [size =\"46442496\"]\n  21 [size=\"162051413\", alpha=\"0.13\", expect_size=\"48615424\"] \n  21 -> 22 [size =\"48615424\"]\n  22 [size=\"126382080\", alpha=\"0.06\", expect_size=\"37914624\"] \n  22 -> 23 [size =\"37914624\"]\n  23 [size=\"140591787\", alpha=\"0.20\", expect_size=\"42177536\"] \n  23 -> 24 [size =\"42177536\"]\n  24 [size=\"134857387\", alpha=\"0.09\", expect_size=\"40457216\"] \n  24 -> 25 [size =\"40457216\"]\n  25 [size=\"94877013\", alpha=\"0.14\", expect_size=\"28463104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109821440\", alpha=\"0.12\", expect_size=\"43928576\"] \n  1 -> 2 [size =\"43928576\"]\n  1 -> 3 [size =\"43928576\"]\n  2 [size=\"126195200\", alpha=\"0.12\", expect_size=\"50478080\"] \n  2 -> 4 [size =\"50478080\"]\n  3 [size=\"102691840\", alpha=\"0.03\", expect_size=\"41076736\"] \n  3 -> 4 [size =\"41076736\"]\n  4 [size=\"66529280\", alpha=\"0.19\", expect_size=\"26611712\"] \n  4 -> 5 [size =\"26611712\"]\n  5 [size=\"21189120\", alpha=\"0.16\", expect_size=\"8475648\"] \n  5 -> 6 [size =\"8475648\"]\n  5 -> 7 [size =\"8475648\"]\n  6 [size=\"54133760\", alpha=\"0.12\", expect_size=\"21653504\"] \n  6 -> 8 [size =\"21653504\"]\n  7 [size=\"29457920\", alpha=\"0.06\", expect_size=\"11783168\"] \n  7 -> 8 [size =\"11783168\"]\n  7 -> 9 [size =\"11783168\"]\n  8 [size=\"67609600\", alpha=\"0.01\", expect_size=\"27043840\"] \n  8 -> 10 [size =\"27043840\"]\n  9 [size=\"106982400\", alpha=\"0.16\", expect_size=\"42792960\"] \n  10 [size=\"17861120\", alpha=\"0.17\", expect_size=\"7144448\"] \n  10 -> 11 [size =\"7144448\"]\n  10 -> 12 [size =\"7144448\"]\n  11 [size=\"118289920\", alpha=\"0.19\", expect_size=\"47315968\"] \n  11 -> 13 [size =\"47315968\"]\n  12 [size=\"71562240\", alpha=\"0.09\", expect_size=\"28624896\"] \n  12 -> 13 [size =\"28624896\"]\n  13 [size=\"25889280\", alpha=\"0.09\", expect_size=\"10355712\"] \n  13 -> 14 [size =\"10355712\"]\n  14 [size=\"42385920\", alpha=\"0.08\", expect_size=\"16954368\"] \n  14 -> 15 [size =\"16954368\"]\n  14 -> 16 [size =\"16954368\"]\n  15 [size=\"34913280\", alpha=\"0.15\", expect_size=\"13965312\"] \n  15 -> 17 [size =\"13965312\"]\n  16 [size=\"13352960\", alpha=\"0.11\", expect_size=\"5341184\"] \n  16 -> 17 [size =\"5341184\"]\n  17 [size=\"83210240\", alpha=\"0.11\", expect_size=\"33284096\"] \n  17 -> 18 [size =\"33284096\"]\n  18 [size=\"116602880\", alpha=\"0.12\", expect_size=\"46641152\"] \n  18 -> 19 [size =\"46641152\"]\n  18 -> 20 [size =\"46641152\"]\n  19 [size=\"121707520\", alpha=\"0.13\", expect_size=\"48683008\"] \n  19 -> 21 [size =\"48683008\"]\n  20 [size=\"100853760\", alpha=\"0.04\", expect_size=\"40341504\"] \n  20 -> 21 [size =\"40341504\"]\n  21 [size=\"83504640\", alpha=\"0.11\", expect_size=\"33401856\"] \n  21 -> 22 [size =\"33401856\"]\n  22 [size=\"78440960\", alpha=\"0.18\", expect_size=\"31376384\"] \n  22 -> 23 [size =\"31376384\"]\n  23 [size=\"13811200\", alpha=\"0.19\", expect_size=\"5524480\"] \n  23 -> 24 [size =\"5524480\"]\n  23 -> 25 [size =\"5524480\"]\n  24 [size=\"67141120\", alpha=\"0.10\", expect_size=\"26856448\"] \n  25 [size=\"111805440\", alpha=\"0.02\", expect_size=\"44722176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130515627\", alpha=\"0.11\", expect_size=\"39154688\"] \n  1 -> 4 [size =\"39154688\"]\n  1 -> 6 [size =\"39154688\"]\n  2 [size=\"73308160\", alpha=\"0.19\", expect_size=\"21992448\"] \n  2 -> 4 [size =\"21992448\"]\n  2 -> 5 [size =\"21992448\"]\n  3 [size=\"153896960\", alpha=\"0.02\", expect_size=\"46169088\"] \n  3 -> 5 [size =\"46169088\"]\n  3 -> 6 [size =\"46169088\"]\n  4 [size=\"64242347\", alpha=\"0.13\", expect_size=\"19272704\"] \n  4 -> 7 [size =\"19272704\"]\n  4 -> 9 [size =\"19272704\"]\n  5 [size=\"135649280\", alpha=\"0.10\", expect_size=\"40694784\"] \n  5 -> 7 [size =\"40694784\"]\n  6 [size=\"120156160\", alpha=\"0.11\", expect_size=\"36046848\"] \n  6 -> 7 [size =\"36046848\"]\n  6 -> 8 [size =\"36046848\"]\n  6 -> 9 [size =\"36046848\"]\n  7 [size=\"115200000\", alpha=\"0.12\", expect_size=\"34560000\"] \n  7 -> 10 [size =\"34560000\"]\n  7 -> 11 [size =\"34560000\"]\n  7 -> 12 [size =\"34560000\"]\n  7 -> 13 [size =\"34560000\"]\n  8 [size=\"51855360\", alpha=\"0.01\", expect_size=\"15556608\"] \n  8 -> 12 [size =\"15556608\"]\n  8 -> 13 [size =\"15556608\"]\n  9 [size=\"101522773\", alpha=\"0.15\", expect_size=\"30456832\"] \n  9 -> 10 [size =\"30456832\"]\n  10 [size=\"48121173\", alpha=\"0.05\", expect_size=\"14436352\"] \n  10 -> 14 [size =\"14436352\"]\n  10 -> 15 [size =\"14436352\"]\n  10 -> 16 [size =\"14436352\"]\n  11 [size=\"105321813\", alpha=\"0.11\", expect_size=\"31596544\"] \n  11 -> 14 [size =\"31596544\"]\n  12 [size=\"36942507\", alpha=\"0.07\", expect_size=\"11082752\"] \n  12 -> 17 [size =\"11082752\"]\n  13 [size=\"29917867\", alpha=\"0.17\", expect_size=\"8975360\"] \n  13 -> 14 [size =\"8975360\"]\n  13 -> 15 [size =\"8975360\"]\n  14 [size=\"45370027\", alpha=\"0.17\", expect_size=\"13611008\"] \n  14 -> 18 [size =\"13611008\"]\n  14 -> 21 [size =\"13611008\"]\n  15 [size=\"145390933\", alpha=\"0.16\", expect_size=\"43617280\"] \n  15 -> 19 [size =\"43617280\"]\n  15 -> 21 [size =\"43617280\"]\n  16 [size=\"66000213\", alpha=\"0.12\", expect_size=\"19800064\"] \n  16 -> 19 [size =\"19800064\"]\n  17 [size=\"151040000\", alpha=\"0.11\", expect_size=\"45312000\"] \n  17 -> 19 [size =\"45312000\"]\n  17 -> 20 [size =\"45312000\"]\n  18 [size=\"86599680\", alpha=\"0.11\", expect_size=\"25979904\"] \n  18 -> 22 [size =\"25979904\"]\n  18 -> 23 [size =\"25979904\"]\n  18 -> 24 [size =\"25979904\"]\n  19 [size=\"91801600\", alpha=\"0.18\", expect_size=\"27540480\"] \n  19 -> 22 [size =\"27540480\"]\n  20 [size=\"56053760\", alpha=\"0.04\", expect_size=\"16816128\"] \n  20 -> 23 [size =\"16816128\"]\n  20 -> 24 [size =\"16816128\"]\n  21 [size=\"94590293\", alpha=\"0.05\", expect_size=\"28377088\"] \n  21 -> 22 [size =\"28377088\"]\n  21 -> 23 [size =\"28377088\"]\n  22 [size=\"21282133\", alpha=\"0.13\", expect_size=\"6384640\"] \n  22 -> 25 [size =\"6384640\"]\n  23 [size=\"76212907\", alpha=\"0.18\", expect_size=\"22863872\"] \n  23 -> 25 [size =\"22863872\"]\n  24 [size=\"50998613\", alpha=\"0.09\", expect_size=\"15299584\"] \n  25 [size=\"29747200\", alpha=\"0.15\", expect_size=\"8924160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40441173\", alpha=\"0.18\", expect_size=\"12132352\"] \n  1 -> 9 [size =\"12132352\"]\n  1 -> 11 [size =\"12132352\"]\n  2 [size=\"62248960\", alpha=\"0.14\", expect_size=\"18674688\"] \n  2 -> 10 [size =\"18674688\"]\n  2 -> 14 [size =\"18674688\"]\n  3 [size=\"62122667\", alpha=\"0.06\", expect_size=\"18636800\"] \n  3 -> 9 [size =\"18636800\"]\n  3 -> 11 [size =\"18636800\"]\n  3 -> 12 [size =\"18636800\"]\n  3 -> 13 [size =\"18636800\"]\n  3 -> 14 [size =\"18636800\"]\n  3 -> 15 [size =\"18636800\"]\n  4 [size=\"78721707\", alpha=\"0.08\", expect_size=\"23616512\"] \n  4 -> 9 [size =\"23616512\"]\n  4 -> 10 [size =\"23616512\"]\n  4 -> 11 [size =\"23616512\"]\n  4 -> 14 [size =\"23616512\"]\n  4 -> 15 [size =\"23616512\"]\n  4 -> 15 [size =\"23616512\"]\n  5 [size=\"159088640\", alpha=\"0.14\", expect_size=\"47726592\"] \n  5 -> 9 [size =\"47726592\"]\n  5 -> 10 [size =\"47726592\"]\n  5 -> 11 [size =\"47726592\"]\n  5 -> 13 [size =\"47726592\"]\n  5 -> 14 [size =\"47726592\"]\n  5 -> 15 [size =\"47726592\"]\n  6 [size=\"86220800\", alpha=\"0.02\", expect_size=\"25866240\"] \n  6 -> 9 [size =\"25866240\"]\n  6 -> 10 [size =\"25866240\"]\n  6 -> 11 [size =\"25866240\"]\n  6 -> 14 [size =\"25866240\"]\n  6 -> 14 [size =\"25866240\"]\n  6 -> 15 [size =\"25866240\"]\n  6 -> 16 [size =\"25866240\"]\n  7 [size=\"82292053\", alpha=\"0.05\", expect_size=\"24687616\"] \n  7 -> 9 [size =\"24687616\"]\n  7 -> 12 [size =\"24687616\"]\n  7 -> 15 [size =\"24687616\"]\n  8 [size=\"170458453\", alpha=\"0.07\", expect_size=\"51137536\"] \n  8 -> 10 [size =\"51137536\"]\n  9 [size=\"37730987\", alpha=\"0.06\", expect_size=\"11319296\"] \n  9 -> 18 [size =\"11319296\"]\n  9 -> 21 [size =\"11319296\"]\n  9 -> 22 [size =\"11319296\"]\n  10 [size=\"65952427\", alpha=\"0.14\", expect_size=\"19785728\"] \n  10 -> 18 [size =\"19785728\"]\n  10 -> 21 [size =\"19785728\"]\n  10 -> 23 [size =\"19785728\"]\n  10 -> 24 [size =\"19785728\"]\n  11 [size=\"76608853\", alpha=\"0.09\", expect_size=\"22982656\"] \n  11 -> 17 [size =\"22982656\"]\n  11 -> 18 [size =\"22982656\"]\n  11 -> 19 [size =\"22982656\"]\n  11 -> 20 [size =\"22982656\"]\n  11 -> 21 [size =\"22982656\"]\n  11 -> 22 [size =\"22982656\"]\n  12 [size=\"62426453\", alpha=\"0.18\", expect_size=\"18727936\"] \n  12 -> 18 [size =\"18727936\"]\n  12 -> 19 [size =\"18727936\"]\n  12 -> 20 [size =\"18727936\"]\n  12 -> 20 [size =\"18727936\"]\n  12 -> 21 [size =\"18727936\"]\n  12 -> 22 [size =\"18727936\"]\n  13 [size=\"19063467\", alpha=\"0.11\", expect_size=\"5719040\"] \n  13 -> 18 [size =\"5719040\"]\n  13 -> 19 [size =\"5719040\"]\n  13 -> 20 [size =\"5719040\"]\n  13 -> 21 [size =\"5719040\"]\n  14 [size=\"68724053\", alpha=\"0.15\", expect_size=\"20617216\"] \n  14 -> 18 [size =\"20617216\"]\n  14 -> 20 [size =\"20617216\"]\n  14 -> 21 [size =\"20617216\"]\n  14 -> 24 [size =\"20617216\"]\n  15 [size=\"135495680\", alpha=\"0.03\", expect_size=\"40648704\"] \n  15 -> 17 [size =\"40648704\"]\n  15 -> 18 [size =\"40648704\"]\n  15 -> 19 [size =\"40648704\"]\n  15 -> 20 [size =\"40648704\"]\n  15 -> 21 [size =\"40648704\"]\n  15 -> 24 [size =\"40648704\"]\n  16 [size=\"90781013\", alpha=\"0.08\", expect_size=\"27234304\"] \n  16 -> 17 [size =\"27234304\"]\n  16 -> 21 [size =\"27234304\"]\n  16 -> 22 [size =\"27234304\"]\n  16 -> 24 [size =\"27234304\"]\n  17 [size=\"103051947\", alpha=\"0.15\", expect_size=\"30915584\"] \n  17 -> 25 [size =\"30915584\"]\n  18 [size=\"139414187\", alpha=\"0.07\", expect_size=\"41824256\"] \n  19 [size=\"38488747\", alpha=\"0.08\", expect_size=\"11546624\"] \n  20 [size=\"88360960\", alpha=\"0.14\", expect_size=\"26508288\"] \n  21 [size=\"41799680\", alpha=\"0.03\", expect_size=\"12539904\"] \n  21 -> 25 [size =\"12539904\"]\n  22 [size=\"110861653\", alpha=\"0.17\", expect_size=\"33258496\"] \n  23 [size=\"91439787\", alpha=\"0.17\", expect_size=\"27431936\"] \n  23 -> 25 [size =\"27431936\"]\n  24 [size=\"18711893\", alpha=\"0.05\", expect_size=\"5613568\"] \n  24 -> 25 [size =\"5613568\"]\n  25 [size=\"139735040\", alpha=\"0.10\", expect_size=\"41920512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129030827\", alpha=\"0.04\", expect_size=\"38709248\"] \n  1 -> 14 [size =\"38709248\"]\n  1 -> 16 [size =\"38709248\"]\n  2 [size=\"117104640\", alpha=\"0.11\", expect_size=\"35131392\"] \n  2 -> 14 [size =\"35131392\"]\n  2 -> 20 [size =\"35131392\"]\n  3 [size=\"79677440\", alpha=\"0.10\", expect_size=\"23903232\"] \n  3 -> 14 [size =\"23903232\"]\n  3 -> 18 [size =\"23903232\"]\n  4 [size=\"115080533\", alpha=\"0.04\", expect_size=\"34524160\"] \n  4 -> 15 [size =\"34524160\"]\n  4 -> 17 [size =\"34524160\"]\n  4 -> 18 [size =\"34524160\"]\n  4 -> 19 [size =\"34524160\"]\n  5 [size=\"71953067\", alpha=\"0.08\", expect_size=\"21585920\"] \n  5 -> 15 [size =\"21585920\"]\n  6 [size=\"112674133\", alpha=\"0.18\", expect_size=\"33802240\"] \n  6 -> 13 [size =\"33802240\"]\n  6 -> 15 [size =\"33802240\"]\n  7 [size=\"126030507\", alpha=\"0.12\", expect_size=\"37809152\"] \n  7 -> 14 [size =\"37809152\"]\n  7 -> 16 [size =\"37809152\"]\n  7 -> 19 [size =\"37809152\"]\n  8 [size=\"126747307\", alpha=\"0.10\", expect_size=\"38024192\"] \n  8 -> 13 [size =\"38024192\"]\n  8 -> 20 [size =\"38024192\"]\n  8 -> 21 [size =\"38024192\"]\n  9 [size=\"136127147\", alpha=\"0.04\", expect_size=\"40838144\"] \n  9 -> 13 [size =\"40838144\"]\n  9 -> 21 [size =\"40838144\"]\n  10 [size=\"26115413\", alpha=\"0.15\", expect_size=\"7834624\"] \n  10 -> 15 [size =\"7834624\"]\n  10 -> 18 [size =\"7834624\"]\n  10 -> 19 [size =\"7834624\"]\n  11 [size=\"103652693\", alpha=\"0.15\", expect_size=\"31095808\"] \n  11 -> 15 [size =\"31095808\"]\n  11 -> 19 [size =\"31095808\"]\n  11 -> 19 [size =\"31095808\"]\n  11 -> 21 [size =\"31095808\"]\n  12 [size=\"131590827\", alpha=\"0.13\", expect_size=\"39477248\"] \n  12 -> 14 [size =\"39477248\"]\n  12 -> 15 [size =\"39477248\"]\n  12 -> 16 [size =\"39477248\"]\n  13 [size=\"60719787\", alpha=\"0.19\", expect_size=\"18215936\"] \n  13 -> 23 [size =\"18215936\"]\n  13 -> 24 [size =\"18215936\"]\n  13 -> 25 [size =\"18215936\"]\n  14 [size=\"137168213\", alpha=\"0.19\", expect_size=\"41150464\"] \n  14 -> 22 [size =\"41150464\"]\n  14 -> 23 [size =\"41150464\"]\n  14 -> 24 [size =\"41150464\"]\n  14 -> 25 [size =\"41150464\"]\n  15 [size=\"171199147\", alpha=\"0.04\", expect_size=\"51359744\"] \n  15 -> 22 [size =\"51359744\"]\n  15 -> 24 [size =\"51359744\"]\n  16 [size=\"79158613\", alpha=\"0.19\", expect_size=\"23747584\"] \n  17 [size=\"63576747\", alpha=\"0.16\", expect_size=\"19073024\"] \n  17 -> 23 [size =\"19073024\"]\n  18 [size=\"158955520\", alpha=\"0.04\", expect_size=\"47686656\"] \n  18 -> 22 [size =\"47686656\"]\n  18 -> 23 [size =\"47686656\"]\n  19 [size=\"78718293\", alpha=\"0.11\", expect_size=\"23615488\"] \n  19 -> 24 [size =\"23615488\"]\n  20 [size=\"111011840\", alpha=\"0.15\", expect_size=\"33303552\"] \n  21 [size=\"70297600\", alpha=\"0.14\", expect_size=\"21089280\"] \n  22 [size=\"31914667\", alpha=\"0.05\", expect_size=\"9574400\"] \n  23 [size=\"131269973\", alpha=\"0.04\", expect_size=\"39380992\"] \n  24 [size=\"121159680\", alpha=\"0.15\", expect_size=\"36347904\"] \n  25 [size=\"110185813\", alpha=\"0.14\", expect_size=\"33055744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57356288\", alpha=\"0.01\", expect_size=\"28678144\"] \n  1 -> 2 [size =\"28678144\"]\n  1 -> 3 [size =\"28678144\"]\n  2 [size=\"39290880\", alpha=\"0.17\", expect_size=\"19645440\"] \n  3 [size=\"25817088\", alpha=\"0.08\", expect_size=\"12908544\"] \n  3 -> 4 [size =\"12908544\"]\n  4 [size=\"25235456\", alpha=\"0.07\", expect_size=\"12617728\"] \n  4 -> 5 [size =\"12617728\"]\n  4 -> 6 [size =\"12617728\"]\n  5 [size=\"38871040\", alpha=\"0.04\", expect_size=\"19435520\"] \n  5 -> 7 [size =\"19435520\"]\n  6 [size=\"48461824\", alpha=\"0.12\", expect_size=\"24230912\"] \n  7 [size=\"60102656\", alpha=\"0.01\", expect_size=\"30051328\"] \n  7 -> 8 [size =\"30051328\"]\n  8 [size=\"28506112\", alpha=\"0.18\", expect_size=\"14253056\"] \n  8 -> 9 [size =\"14253056\"]\n  8 -> 10 [size =\"14253056\"]\n  9 [size=\"11094016\", alpha=\"0.20\", expect_size=\"5547008\"] \n  10 [size=\"30550016\", alpha=\"0.12\", expect_size=\"15275008\"] \n  10 -> 11 [size =\"15275008\"]\n  11 [size=\"73109504\", alpha=\"0.04\", expect_size=\"36554752\"] \n  11 -> 12 [size =\"36554752\"]\n  11 -> 13 [size =\"36554752\"]\n  12 [size=\"78243840\", alpha=\"0.19\", expect_size=\"39121920\"] \n  12 -> 14 [size =\"39121920\"]\n  13 [size=\"64899072\", alpha=\"0.17\", expect_size=\"32449536\"] \n  14 [size=\"104595456\", alpha=\"0.17\", expect_size=\"52297728\"] \n  14 -> 15 [size =\"52297728\"]\n  14 -> 16 [size =\"52297728\"]\n  15 [size=\"42840064\", alpha=\"0.19\", expect_size=\"21420032\"] \n  15 -> 17 [size =\"21420032\"]\n  15 -> 18 [size =\"21420032\"]\n  16 [size=\"62564352\", alpha=\"0.19\", expect_size=\"31282176\"] \n  17 [size=\"24190976\", alpha=\"0.15\", expect_size=\"12095488\"] \n  17 -> 19 [size =\"12095488\"]\n  18 [size=\"29915136\", alpha=\"0.13\", expect_size=\"14957568\"] \n  19 [size=\"19083264\", alpha=\"0.20\", expect_size=\"9541632\"] \n  19 -> 20 [size =\"9541632\"]\n  20 [size=\"17664000\", alpha=\"0.11\", expect_size=\"8832000\"] \n  20 -> 21 [size =\"8832000\"]\n  21 [size=\"75749376\", alpha=\"0.13\", expect_size=\"37874688\"] \n  21 -> 22 [size =\"37874688\"]\n  22 [size=\"95037440\", alpha=\"0.01\", expect_size=\"47518720\"] \n  22 -> 23 [size =\"47518720\"]\n  22 -> 24 [size =\"47518720\"]\n  23 [size=\"88723456\", alpha=\"0.12\", expect_size=\"44361728\"] \n  23 -> 25 [size =\"44361728\"]\n  24 [size=\"72628224\", alpha=\"0.06\", expect_size=\"36314112\"] \n  24 -> 25 [size =\"36314112\"]\n  25 [size=\"57178112\", alpha=\"0.07\", expect_size=\"28589056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71065600\", alpha=\"0.01\", expect_size=\"28426240\"] \n  1 -> 17 [size =\"28426240\"]\n  2 [size=\"81479680\", alpha=\"0.06\", expect_size=\"32591872\"] \n  2 -> 14 [size =\"32591872\"]\n  2 -> 16 [size =\"32591872\"]\n  2 -> 17 [size =\"32591872\"]\n  3 [size=\"100032000\", alpha=\"0.13\", expect_size=\"40012800\"] \n  3 -> 14 [size =\"40012800\"]\n  4 [size=\"99138560\", alpha=\"0.14\", expect_size=\"39655424\"] \n  4 -> 13 [size =\"39655424\"]\n  5 [size=\"94438400\", alpha=\"0.20\", expect_size=\"37775360\"] \n  5 -> 12 [size =\"37775360\"]\n  5 -> 17 [size =\"37775360\"]\n  6 [size=\"117404160\", alpha=\"0.04\", expect_size=\"46961664\"] \n  7 [size=\"121034240\", alpha=\"0.02\", expect_size=\"48413696\"] \n  7 -> 13 [size =\"48413696\"]\n  7 -> 14 [size =\"48413696\"]\n  7 -> 15 [size =\"48413696\"]\n  7 -> 16 [size =\"48413696\"]\n  8 [size=\"86612480\", alpha=\"0.07\", expect_size=\"34644992\"] \n  8 -> 12 [size =\"34644992\"]\n  8 -> 13 [size =\"34644992\"]\n  8 -> 16 [size =\"34644992\"]\n  8 -> 16 [size =\"34644992\"]\n  9 [size=\"77872640\", alpha=\"0.20\", expect_size=\"31149056\"] \n  9 -> 12 [size =\"31149056\"]\n  9 -> 13 [size =\"31149056\"]\n  9 -> 17 [size =\"31149056\"]\n  10 [size=\"17221120\", alpha=\"0.03\", expect_size=\"6888448\"] \n  10 -> 13 [size =\"6888448\"]\n  10 -> 13 [size =\"6888448\"]\n  10 -> 17 [size =\"6888448\"]\n  11 [size=\"100661760\", alpha=\"0.08\", expect_size=\"40264704\"] \n  11 -> 17 [size =\"40264704\"]\n  12 [size=\"108390400\", alpha=\"0.20\", expect_size=\"43356160\"] \n  12 -> 20 [size =\"43356160\"]\n  13 [size=\"23093760\", alpha=\"0.07\", expect_size=\"9237504\"] \n  13 -> 20 [size =\"9237504\"]\n  13 -> 21 [size =\"9237504\"]\n  13 -> 23 [size =\"9237504\"]\n  13 -> 25 [size =\"9237504\"]\n  14 [size=\"98629120\", alpha=\"0.01\", expect_size=\"39451648\"] \n  14 -> 20 [size =\"39451648\"]\n  14 -> 22 [size =\"39451648\"]\n  14 -> 25 [size =\"39451648\"]\n  15 [size=\"62149120\", alpha=\"0.01\", expect_size=\"24859648\"] \n  15 -> 18 [size =\"24859648\"]\n  15 -> 19 [size =\"24859648\"]\n  15 -> 21 [size =\"24859648\"]\n  15 -> 22 [size =\"24859648\"]\n  16 [size=\"59952640\", alpha=\"0.09\", expect_size=\"23981056\"] \n  16 -> 19 [size =\"23981056\"]\n  16 -> 21 [size =\"23981056\"]\n  16 -> 24 [size =\"23981056\"]\n  16 -> 25 [size =\"23981056\"]\n  17 [size=\"83727360\", alpha=\"0.12\", expect_size=\"33490944\"] \n  17 -> 19 [size =\"33490944\"]\n  17 -> 23 [size =\"33490944\"]\n  17 -> 24 [size =\"33490944\"]\n  18 [size=\"95987200\", alpha=\"0.19\", expect_size=\"38394880\"] \n  19 [size=\"18618880\", alpha=\"0.03\", expect_size=\"7447552\"] \n  20 [size=\"16061440\", alpha=\"0.03\", expect_size=\"6424576\"] \n  21 [size=\"36008960\", alpha=\"0.14\", expect_size=\"14403584\"] \n  22 [size=\"85911040\", alpha=\"0.16\", expect_size=\"34364416\"] \n  23 [size=\"83804160\", alpha=\"0.13\", expect_size=\"33521664\"] \n  24 [size=\"122470400\", alpha=\"0.04\", expect_size=\"48988160\"] \n  25 [size=\"126428160\", alpha=\"0.09\", expect_size=\"50571264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93323264\", alpha=\"0.07\", expect_size=\"46661632\"] \n  1 -> 5 [size =\"46661632\"]\n  2 [size=\"100345856\", alpha=\"0.06\", expect_size=\"50172928\"] \n  2 -> 6 [size =\"50172928\"]\n  3 [size=\"25585664\", alpha=\"0.17\", expect_size=\"12792832\"] \n  3 -> 5 [size =\"12792832\"]\n  3 -> 6 [size =\"12792832\"]\n  3 -> 7 [size =\"12792832\"]\n  4 [size=\"57063424\", alpha=\"0.15\", expect_size=\"28531712\"] \n  4 -> 5 [size =\"28531712\"]\n  5 [size=\"41361408\", alpha=\"0.01\", expect_size=\"20680704\"] \n  5 -> 10 [size =\"20680704\"]\n  5 -> 11 [size =\"20680704\"]\n  6 [size=\"41056256\", alpha=\"0.06\", expect_size=\"20528128\"] \n  6 -> 9 [size =\"20528128\"]\n  6 -> 10 [size =\"20528128\"]\n  6 -> 11 [size =\"20528128\"]\n  7 [size=\"32929792\", alpha=\"0.17\", expect_size=\"16464896\"] \n  7 -> 8 [size =\"16464896\"]\n  7 -> 11 [size =\"16464896\"]\n  8 [size=\"17651712\", alpha=\"0.08\", expect_size=\"8825856\"] \n  8 -> 12 [size =\"8825856\"]\n  8 -> 13 [size =\"8825856\"]\n  8 -> 14 [size =\"8825856\"]\n  9 [size=\"18794496\", alpha=\"0.11\", expect_size=\"9397248\"] \n  10 [size=\"29777920\", alpha=\"0.07\", expect_size=\"14888960\"] \n  10 -> 13 [size =\"14888960\"]\n  11 [size=\"43241472\", alpha=\"0.14\", expect_size=\"21620736\"] \n  11 -> 13 [size =\"21620736\"]\n  11 -> 14 [size =\"21620736\"]\n  12 [size=\"76926976\", alpha=\"0.05\", expect_size=\"38463488\"] \n  12 -> 15 [size =\"38463488\"]\n  12 -> 16 [size =\"38463488\"]\n  13 [size=\"10907648\", alpha=\"0.07\", expect_size=\"5453824\"] \n  13 -> 15 [size =\"5453824\"]\n  14 [size=\"91072512\", alpha=\"0.12\", expect_size=\"45536256\"] \n  14 -> 16 [size =\"45536256\"]\n  14 -> 17 [size =\"45536256\"]\n  15 [size=\"65339392\", alpha=\"0.12\", expect_size=\"32669696\"] \n  15 -> 18 [size =\"32669696\"]\n  16 [size=\"68102144\", alpha=\"0.03\", expect_size=\"34051072\"] \n  17 [size=\"96471040\", alpha=\"0.11\", expect_size=\"48235520\"] \n  17 -> 18 [size =\"48235520\"]\n  17 -> 19 [size =\"48235520\"]\n  17 -> 20 [size =\"48235520\"]\n  18 [size=\"83359744\", alpha=\"0.06\", expect_size=\"41679872\"] \n  18 -> 23 [size =\"41679872\"]\n  19 [size=\"27250688\", alpha=\"0.17\", expect_size=\"13625344\"] \n  19 -> 21 [size =\"13625344\"]\n  19 -> 23 [size =\"13625344\"]\n  20 [size=\"77412352\", alpha=\"0.18\", expect_size=\"38706176\"] \n  20 -> 21 [size =\"38706176\"]\n  20 -> 22 [size =\"38706176\"]\n  20 -> 23 [size =\"38706176\"]\n  20 -> 24 [size =\"38706176\"]\n  21 [size=\"13846528\", alpha=\"0.16\", expect_size=\"6923264\"] \n  21 -> 25 [size =\"6923264\"]\n  22 [size=\"82200576\", alpha=\"0.13\", expect_size=\"41100288\"] \n  22 -> 25 [size =\"41100288\"]\n  23 [size=\"11040768\", alpha=\"0.14\", expect_size=\"5520384\"] \n  24 [size=\"43321344\", alpha=\"0.04\", expect_size=\"21660672\"] \n  25 [size=\"99684352\", alpha=\"0.01\", expect_size=\"49842176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83063467\", alpha=\"0.10\", expect_size=\"24919040\"] \n  1 -> 19 [size =\"24919040\"]\n  1 -> 21 [size =\"24919040\"]\n  2 [size=\"87883093\", alpha=\"0.15\", expect_size=\"26364928\"] \n  2 -> 21 [size =\"26364928\"]\n  2 -> 24 [size =\"26364928\"]\n  3 [size=\"174349653\", alpha=\"0.18\", expect_size=\"52304896\"] \n  3 -> 19 [size =\"52304896\"]\n  3 -> 23 [size =\"52304896\"]\n  4 [size=\"141100373\", alpha=\"0.08\", expect_size=\"42330112\"] \n  4 -> 19 [size =\"42330112\"]\n  4 -> 21 [size =\"42330112\"]\n  4 -> 23 [size =\"42330112\"]\n  5 [size=\"120463360\", alpha=\"0.04\", expect_size=\"36139008\"] \n  5 -> 19 [size =\"36139008\"]\n  5 -> 21 [size =\"36139008\"]\n  5 -> 25 [size =\"36139008\"]\n  6 [size=\"23053653\", alpha=\"0.11\", expect_size=\"6916096\"] \n  6 -> 19 [size =\"6916096\"]\n  6 -> 20 [size =\"6916096\"]\n  6 -> 21 [size =\"6916096\"]\n  6 -> 23 [size =\"6916096\"]\n  6 -> 25 [size =\"6916096\"]\n  7 [size=\"172765867\", alpha=\"0.19\", expect_size=\"51829760\"] \n  7 -> 19 [size =\"51829760\"]\n  8 [size=\"109318827\", alpha=\"0.05\", expect_size=\"32795648\"] \n  8 -> 19 [size =\"32795648\"]\n  8 -> 24 [size =\"32795648\"]\n  8 -> 25 [size =\"32795648\"]\n  9 [size=\"124078080\", alpha=\"0.11\", expect_size=\"37223424\"] \n  9 -> 19 [size =\"37223424\"]\n  9 -> 23 [size =\"37223424\"]\n  10 [size=\"53189973\", alpha=\"0.07\", expect_size=\"15956992\"] \n  10 -> 19 [size =\"15956992\"]\n  10 -> 23 [size =\"15956992\"]\n  10 -> 24 [size =\"15956992\"]\n  10 -> 25 [size =\"15956992\"]\n  11 [size=\"28303360\", alpha=\"0.02\", expect_size=\"8491008\"] \n  11 -> 19 [size =\"8491008\"]\n  11 -> 21 [size =\"8491008\"]\n  11 -> 25 [size =\"8491008\"]\n  11 -> 25 [size =\"8491008\"]\n  12 [size=\"105144320\", alpha=\"0.12\", expect_size=\"31543296\"] \n  12 -> 20 [size =\"31543296\"]\n  12 -> 24 [size =\"31543296\"]\n  12 -> 25 [size =\"31543296\"]\n  13 [size=\"63856640\", alpha=\"0.14\", expect_size=\"19156992\"] \n  13 -> 20 [size =\"19156992\"]\n  13 -> 25 [size =\"19156992\"]\n  14 [size=\"45230080\", alpha=\"0.01\", expect_size=\"13569024\"] \n  14 -> 20 [size =\"13569024\"]\n  14 -> 23 [size =\"13569024\"]\n  14 -> 24 [size =\"13569024\"]\n  14 -> 25 [size =\"13569024\"]\n  15 [size=\"109834240\", alpha=\"0.11\", expect_size=\"32950272\"] \n  15 -> 21 [size =\"32950272\"]\n  15 -> 22 [size =\"32950272\"]\n  15 -> 23 [size =\"32950272\"]\n  15 -> 25 [size =\"32950272\"]\n  16 [size=\"144564907\", alpha=\"0.14\", expect_size=\"43369472\"] \n  16 -> 20 [size =\"43369472\"]\n  16 -> 21 [size =\"43369472\"]\n  16 -> 24 [size =\"43369472\"]\n  16 -> 25 [size =\"43369472\"]\n  17 [size=\"75496107\", alpha=\"0.07\", expect_size=\"22648832\"] \n  17 -> 20 [size =\"22648832\"]\n  17 -> 23 [size =\"22648832\"]\n  17 -> 24 [size =\"22648832\"]\n  17 -> 25 [size =\"22648832\"]\n  18 [size=\"67147093\", alpha=\"0.18\", expect_size=\"20144128\"] \n  18 -> 19 [size =\"20144128\"]\n  18 -> 24 [size =\"20144128\"]\n  18 -> 25 [size =\"20144128\"]\n  19 [size=\"110237013\", alpha=\"0.04\", expect_size=\"33071104\"] \n  20 [size=\"41693867\", alpha=\"0.14\", expect_size=\"12508160\"] \n  21 [size=\"93515093\", alpha=\"0.13\", expect_size=\"28054528\"] \n  22 [size=\"109390507\", alpha=\"0.20\", expect_size=\"32817152\"] \n  23 [size=\"50292053\", alpha=\"0.07\", expect_size=\"15087616\"] \n  24 [size=\"160300373\", alpha=\"0.10\", expect_size=\"48090112\"] \n  25 [size=\"165567147\", alpha=\"0.06\", expect_size=\"49670144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88207360\", alpha=\"0.15\", expect_size=\"44103680\"] \n  1 -> 4 [size =\"44103680\"]\n  1 -> 7 [size =\"44103680\"]\n  2 [size=\"47814656\", alpha=\"0.13\", expect_size=\"23907328\"] \n  2 -> 6 [size =\"23907328\"]\n  3 [size=\"58437632\", alpha=\"0.19\", expect_size=\"29218816\"] \n  3 -> 5 [size =\"29218816\"]\n  3 -> 7 [size =\"29218816\"]\n  4 [size=\"64876544\", alpha=\"0.11\", expect_size=\"32438272\"] \n  5 [size=\"93059072\", alpha=\"0.14\", expect_size=\"46529536\"] \n  6 [size=\"89812992\", alpha=\"0.20\", expect_size=\"44906496\"] \n  6 -> 10 [size =\"44906496\"]\n  6 -> 11 [size =\"44906496\"]\n  7 [size=\"78209024\", alpha=\"0.14\", expect_size=\"39104512\"] \n  7 -> 8 [size =\"39104512\"]\n  7 -> 9 [size =\"39104512\"]\n  8 [size=\"32251904\", alpha=\"0.14\", expect_size=\"16125952\"] \n  8 -> 13 [size =\"16125952\"]\n  9 [size=\"77307904\", alpha=\"0.04\", expect_size=\"38653952\"] \n  9 -> 12 [size =\"38653952\"]\n  10 [size=\"21254144\", alpha=\"0.12\", expect_size=\"10627072\"] \n  10 -> 13 [size =\"10627072\"]\n  10 -> 14 [size =\"10627072\"]\n  11 [size=\"90951680\", alpha=\"0.04\", expect_size=\"45475840\"] \n  11 -> 13 [size =\"45475840\"]\n  12 [size=\"66058240\", alpha=\"0.16\", expect_size=\"33029120\"] \n  12 -> 15 [size =\"33029120\"]\n  12 -> 16 [size =\"33029120\"]\n  12 -> 17 [size =\"33029120\"]\n  13 [size=\"30832640\", alpha=\"0.09\", expect_size=\"15416320\"] \n  13 -> 18 [size =\"15416320\"]\n  13 -> 19 [size =\"15416320\"]\n  14 [size=\"24678400\", alpha=\"0.20\", expect_size=\"12339200\"] \n  14 -> 17 [size =\"12339200\"]\n  15 [size=\"74579968\", alpha=\"0.02\", expect_size=\"37289984\"] \n  15 -> 20 [size =\"37289984\"]\n  16 [size=\"48435200\", alpha=\"0.19\", expect_size=\"24217600\"] \n  16 -> 21 [size =\"24217600\"]\n  16 -> 22 [size =\"24217600\"]\n  17 [size=\"46561280\", alpha=\"0.00\", expect_size=\"23280640\"] \n  17 -> 21 [size =\"23280640\"]\n  18 [size=\"18030592\", alpha=\"0.07\", expect_size=\"9015296\"] \n  18 -> 22 [size =\"9015296\"]\n  19 [size=\"84287488\", alpha=\"0.07\", expect_size=\"42143744\"] \n  19 -> 21 [size =\"42143744\"]\n  19 -> 22 [size =\"42143744\"]\n  20 [size=\"10657792\", alpha=\"0.04\", expect_size=\"5328896\"] \n  20 -> 23 [size =\"5328896\"]\n  20 -> 25 [size =\"5328896\"]\n  21 [size=\"67639296\", alpha=\"0.18\", expect_size=\"33819648\"] \n  21 -> 24 [size =\"33819648\"]\n  22 [size=\"87095296\", alpha=\"0.20\", expect_size=\"43547648\"] \n  22 -> 23 [size =\"43547648\"]\n  22 -> 24 [size =\"43547648\"]\n  23 [size=\"69083136\", alpha=\"0.11\", expect_size=\"34541568\"] \n  24 [size=\"16181248\", alpha=\"0.14\", expect_size=\"8090624\"] \n  25 [size=\"15673344\", alpha=\"0.15\", expect_size=\"7836672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62244864\", alpha=\"0.07\", expect_size=\"31122432\"] \n  1 -> 7 [size =\"31122432\"]\n  1 -> 10 [size =\"31122432\"]\n  1 -> 12 [size =\"31122432\"]\n  1 -> 13 [size =\"31122432\"]\n  1 -> 14 [size =\"31122432\"]\n  1 -> 16 [size =\"31122432\"]\n  1 -> 17 [size =\"31122432\"]\n  2 [size=\"101380096\", alpha=\"0.04\", expect_size=\"50690048\"] \n  2 -> 7 [size =\"50690048\"]\n  2 -> 8 [size =\"50690048\"]\n  2 -> 10 [size =\"50690048\"]\n  2 -> 14 [size =\"50690048\"]\n  2 -> 15 [size =\"50690048\"]\n  2 -> 18 [size =\"50690048\"]\n  3 [size=\"96223232\", alpha=\"0.19\", expect_size=\"48111616\"] \n  3 -> 7 [size =\"48111616\"]\n  3 -> 10 [size =\"48111616\"]\n  4 [size=\"98502656\", alpha=\"0.12\", expect_size=\"49251328\"] \n  4 -> 9 [size =\"49251328\"]\n  4 -> 12 [size =\"49251328\"]\n  4 -> 15 [size =\"49251328\"]\n  4 -> 17 [size =\"49251328\"]\n  4 -> 19 [size =\"49251328\"]\n  5 [size=\"91430912\", alpha=\"0.12\", expect_size=\"45715456\"] \n  5 -> 7 [size =\"45715456\"]\n  5 -> 12 [size =\"45715456\"]\n  5 -> 14 [size =\"45715456\"]\n  5 -> 15 [size =\"45715456\"]\n  5 -> 16 [size =\"45715456\"]\n  5 -> 17 [size =\"45715456\"]\n  6 [size=\"50055168\", alpha=\"0.05\", expect_size=\"25027584\"] \n  6 -> 7 [size =\"25027584\"]\n  6 -> 11 [size =\"25027584\"]\n  6 -> 12 [size =\"25027584\"]\n  6 -> 15 [size =\"25027584\"]\n  6 -> 16 [size =\"25027584\"]\n  7 [size=\"42180608\", alpha=\"0.01\", expect_size=\"21090304\"] \n  7 -> 20 [size =\"21090304\"]\n  8 [size=\"52391936\", alpha=\"0.00\", expect_size=\"26195968\"] \n  8 -> 21 [size =\"26195968\"]\n  8 -> 23 [size =\"26195968\"]\n  8 -> 24 [size =\"26195968\"]\n  8 -> 25 [size =\"26195968\"]\n  9 [size=\"19312640\", alpha=\"0.19\", expect_size=\"9656320\"] \n  9 -> 20 [size =\"9656320\"]\n  9 -> 22 [size =\"9656320\"]\n  9 -> 23 [size =\"9656320\"]\n  9 -> 24 [size =\"9656320\"]\n  10 [size=\"99100672\", alpha=\"0.19\", expect_size=\"49550336\"] \n  10 -> 20 [size =\"49550336\"]\n  10 -> 23 [size =\"49550336\"]\n  10 -> 24 [size =\"49550336\"]\n  11 [size=\"63496192\", alpha=\"0.14\", expect_size=\"31748096\"] \n  11 -> 23 [size =\"31748096\"]\n  11 -> 24 [size =\"31748096\"]\n  11 -> 24 [size =\"31748096\"]\n  12 [size=\"94183424\", alpha=\"0.12\", expect_size=\"47091712\"] \n  12 -> 23 [size =\"47091712\"]\n  12 -> 24 [size =\"47091712\"]\n  13 [size=\"19877888\", alpha=\"0.00\", expect_size=\"9938944\"] \n  13 -> 23 [size =\"9938944\"]\n  14 [size=\"12869632\", alpha=\"0.12\", expect_size=\"6434816\"] \n  14 -> 22 [size =\"6434816\"]\n  15 [size=\"70637568\", alpha=\"0.01\", expect_size=\"35318784\"] \n  15 -> 22 [size =\"35318784\"]\n  15 -> 23 [size =\"35318784\"]\n  15 -> 24 [size =\"35318784\"]\n  16 [size=\"31193088\", alpha=\"0.05\", expect_size=\"15596544\"] \n  16 -> 22 [size =\"15596544\"]\n  16 -> 23 [size =\"15596544\"]\n  17 [size=\"56168448\", alpha=\"0.10\", expect_size=\"28084224\"] \n  17 -> 22 [size =\"28084224\"]\n  17 -> 23 [size =\"28084224\"]\n  18 [size=\"61306880\", alpha=\"0.14\", expect_size=\"30653440\"] \n  18 -> 23 [size =\"30653440\"]\n  19 [size=\"61380608\", alpha=\"0.12\", expect_size=\"30690304\"] \n  19 -> 20 [size =\"30690304\"]\n  19 -> 21 [size =\"30690304\"]\n  19 -> 24 [size =\"30690304\"]\n  20 [size=\"57985024\", alpha=\"0.15\", expect_size=\"28992512\"] \n  21 [size=\"53774336\", alpha=\"0.08\", expect_size=\"26887168\"] \n  22 [size=\"23283712\", alpha=\"0.01\", expect_size=\"11641856\"] \n  23 [size=\"79052800\", alpha=\"0.11\", expect_size=\"39526400\"] \n  24 [size=\"79644672\", alpha=\"0.01\", expect_size=\"39822336\"] \n  25 [size=\"43716608\", alpha=\"0.08\", expect_size=\"21858304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38850560\", alpha=\"0.20\", expect_size=\"11655168\"] \n  1 -> 2 [size =\"11655168\"]\n  2 [size=\"112264533\", alpha=\"0.03\", expect_size=\"33679360\"] \n  2 -> 3 [size =\"33679360\"]\n  3 [size=\"19773440\", alpha=\"0.18\", expect_size=\"5932032\"] \n  3 -> 4 [size =\"5932032\"]\n  4 [size=\"49295360\", alpha=\"0.03\", expect_size=\"14788608\"] \n  4 -> 5 [size =\"14788608\"]\n  5 [size=\"156900693\", alpha=\"0.20\", expect_size=\"47070208\"] \n  5 -> 6 [size =\"47070208\"]\n  6 [size=\"90327040\", alpha=\"0.15\", expect_size=\"27098112\"] \n  6 -> 7 [size =\"27098112\"]\n  7 [size=\"48513707\", alpha=\"0.07\", expect_size=\"14554112\"] \n  7 -> 8 [size =\"14554112\"]\n  8 [size=\"170547200\", alpha=\"0.09\", expect_size=\"51164160\"] \n  8 -> 9 [size =\"51164160\"]\n  9 [size=\"61190827\", alpha=\"0.07\", expect_size=\"18357248\"] \n  9 -> 10 [size =\"18357248\"]\n  10 [size=\"52299093\", alpha=\"0.13\", expect_size=\"15689728\"] \n  10 -> 11 [size =\"15689728\"]\n  11 [size=\"115619840\", alpha=\"0.01\", expect_size=\"34685952\"] \n  11 -> 12 [size =\"34685952\"]\n  12 [size=\"113114453\", alpha=\"0.03\", expect_size=\"33934336\"] \n  12 -> 13 [size =\"33934336\"]\n  13 [size=\"139980800\", alpha=\"0.11\", expect_size=\"41994240\"] \n  13 -> 14 [size =\"41994240\"]\n  14 [size=\"124105387\", alpha=\"0.01\", expect_size=\"37231616\"] \n  14 -> 15 [size =\"37231616\"]\n  15 [size=\"150241280\", alpha=\"0.01\", expect_size=\"45072384\"] \n  15 -> 16 [size =\"45072384\"]\n  16 [size=\"148671147\", alpha=\"0.10\", expect_size=\"44601344\"] \n  16 -> 17 [size =\"44601344\"]\n  17 [size=\"107755520\", alpha=\"0.03\", expect_size=\"32326656\"] \n  17 -> 18 [size =\"32326656\"]\n  18 [size=\"160515413\", alpha=\"0.12\", expect_size=\"48154624\"] \n  18 -> 19 [size =\"48154624\"]\n  19 [size=\"73400320\", alpha=\"0.11\", expect_size=\"22020096\"] \n  19 -> 20 [size =\"22020096\"]\n  20 [size=\"129310720\", alpha=\"0.14\", expect_size=\"38793216\"] \n  20 -> 21 [size =\"38793216\"]\n  21 [size=\"74557440\", alpha=\"0.19\", expect_size=\"22367232\"] \n  21 -> 22 [size =\"22367232\"]\n  22 [size=\"85804373\", alpha=\"0.16\", expect_size=\"25741312\"] \n  22 -> 23 [size =\"25741312\"]\n  23 [size=\"111274667\", alpha=\"0.13\", expect_size=\"33382400\"] \n  23 -> 24 [size =\"33382400\"]\n  24 [size=\"43499520\", alpha=\"0.15\", expect_size=\"13049856\"] \n  24 -> 25 [size =\"13049856\"]\n  25 [size=\"53695147\", alpha=\"0.14\", expect_size=\"16108544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86592853\", alpha=\"0.09\", expect_size=\"25977856\"] \n  1 -> 3 [size =\"25977856\"]\n  1 -> 4 [size =\"25977856\"]\n  2 [size=\"29897387\", alpha=\"0.07\", expect_size=\"8969216\"] \n  3 [size=\"109506560\", alpha=\"0.03\", expect_size=\"32851968\"] \n  3 -> 8 [size =\"32851968\"]\n  3 -> 9 [size =\"32851968\"]\n  4 [size=\"119197013\", alpha=\"0.17\", expect_size=\"35759104\"] \n  4 -> 5 [size =\"35759104\"]\n  4 -> 6 [size =\"35759104\"]\n  4 -> 7 [size =\"35759104\"]\n  5 [size=\"27374933\", alpha=\"0.11\", expect_size=\"8212480\"] \n  5 -> 10 [size =\"8212480\"]\n  5 -> 13 [size =\"8212480\"]\n  6 [size=\"103860907\", alpha=\"0.12\", expect_size=\"31158272\"] \n  6 -> 10 [size =\"31158272\"]\n  6 -> 12 [size =\"31158272\"]\n  6 -> 14 [size =\"31158272\"]\n  7 [size=\"151449600\", alpha=\"0.06\", expect_size=\"45434880\"] \n  8 [size=\"132809387\", alpha=\"0.09\", expect_size=\"39842816\"] \n  8 -> 10 [size =\"39842816\"]\n  8 -> 12 [size =\"39842816\"]\n  9 [size=\"155770880\", alpha=\"0.05\", expect_size=\"46731264\"] \n  9 -> 11 [size =\"46731264\"]\n  10 [size=\"70901760\", alpha=\"0.04\", expect_size=\"21270528\"] \n  10 -> 17 [size =\"21270528\"]\n  11 [size=\"86227627\", alpha=\"0.09\", expect_size=\"25868288\"] \n  12 [size=\"158143147\", alpha=\"0.20\", expect_size=\"47442944\"] \n  12 -> 15 [size =\"47442944\"]\n  12 -> 16 [size =\"47442944\"]\n  13 [size=\"51981653\", alpha=\"0.14\", expect_size=\"15594496\"] \n  13 -> 16 [size =\"15594496\"]\n  14 [size=\"79363413\", alpha=\"0.18\", expect_size=\"23809024\"] \n  14 -> 16 [size =\"23809024\"]\n  15 [size=\"56787627\", alpha=\"0.09\", expect_size=\"17036288\"] \n  15 -> 19 [size =\"17036288\"]\n  16 [size=\"146565120\", alpha=\"0.07\", expect_size=\"43969536\"] \n  16 -> 18 [size =\"43969536\"]\n  17 [size=\"85275307\", alpha=\"0.04\", expect_size=\"25582592\"] \n  17 -> 18 [size =\"25582592\"]\n  18 [size=\"133550080\", alpha=\"0.03\", expect_size=\"40065024\"] \n  18 -> 20 [size =\"40065024\"]\n  18 -> 22 [size =\"40065024\"]\n  18 -> 24 [size =\"40065024\"]\n  19 [size=\"45407573\", alpha=\"0.18\", expect_size=\"13622272\"] \n  19 -> 21 [size =\"13622272\"]\n  19 -> 23 [size =\"13622272\"]\n  20 [size=\"88231253\", alpha=\"0.18\", expect_size=\"26469376\"] \n  21 [size=\"117186560\", alpha=\"0.06\", expect_size=\"35155968\"] \n  22 [size=\"28610560\", alpha=\"0.16\", expect_size=\"8583168\"] \n  22 -> 25 [size =\"8583168\"]\n  23 [size=\"25702400\", alpha=\"0.17\", expect_size=\"7710720\"] \n  23 -> 25 [size =\"7710720\"]\n  24 [size=\"133594453\", alpha=\"0.12\", expect_size=\"40078336\"] \n  25 [size=\"116002133\", alpha=\"0.07\", expect_size=\"34800640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85544960\", alpha=\"0.01\", expect_size=\"42772480\"] \n  1 -> 2 [size =\"42772480\"]\n  2 [size=\"72859648\", alpha=\"0.13\", expect_size=\"36429824\"] \n  2 -> 3 [size =\"36429824\"]\n  3 [size=\"27848704\", alpha=\"0.09\", expect_size=\"13924352\"] \n  3 -> 4 [size =\"13924352\"]\n  4 [size=\"82446336\", alpha=\"0.09\", expect_size=\"41223168\"] \n  4 -> 5 [size =\"41223168\"]\n  5 [size=\"52066304\", alpha=\"0.19\", expect_size=\"26033152\"] \n  5 -> 6 [size =\"26033152\"]\n  6 [size=\"61034496\", alpha=\"0.07\", expect_size=\"30517248\"] \n  6 -> 7 [size =\"30517248\"]\n  7 [size=\"92583936\", alpha=\"0.17\", expect_size=\"46291968\"] \n  7 -> 8 [size =\"46291968\"]\n  7 -> 9 [size =\"46291968\"]\n  8 [size=\"39727104\", alpha=\"0.09\", expect_size=\"19863552\"] \n  8 -> 10 [size =\"19863552\"]\n  9 [size=\"39868416\", alpha=\"0.02\", expect_size=\"19934208\"] \n  10 [size=\"24039424\", alpha=\"0.09\", expect_size=\"12019712\"] \n  10 -> 11 [size =\"12019712\"]\n  11 [size=\"104470528\", alpha=\"0.04\", expect_size=\"52235264\"] \n  11 -> 12 [size =\"52235264\"]\n  11 -> 13 [size =\"52235264\"]\n  12 [size=\"13666304\", alpha=\"0.10\", expect_size=\"6833152\"] \n  12 -> 14 [size =\"6833152\"]\n  13 [size=\"73422848\", alpha=\"0.09\", expect_size=\"36711424\"] \n  13 -> 14 [size =\"36711424\"]\n  14 [size=\"21975040\", alpha=\"0.08\", expect_size=\"10987520\"] \n  14 -> 15 [size =\"10987520\"]\n  14 -> 16 [size =\"10987520\"]\n  15 [size=\"66002944\", alpha=\"0.15\", expect_size=\"33001472\"] \n  16 [size=\"59609088\", alpha=\"0.01\", expect_size=\"29804544\"] \n  16 -> 17 [size =\"29804544\"]\n  16 -> 18 [size =\"29804544\"]\n  17 [size=\"90361856\", alpha=\"0.17\", expect_size=\"45180928\"] \n  17 -> 20 [size =\"45180928\"]\n  18 [size=\"77715456\", alpha=\"0.14\", expect_size=\"38857728\"] \n  18 -> 19 [size =\"38857728\"]\n  18 -> 20 [size =\"38857728\"]\n  19 [size=\"27193344\", alpha=\"0.10\", expect_size=\"13596672\"] \n  19 -> 21 [size =\"13596672\"]\n  19 -> 22 [size =\"13596672\"]\n  20 [size=\"38676480\", alpha=\"0.03\", expect_size=\"19338240\"] \n  20 -> 22 [size =\"19338240\"]\n  21 [size=\"80191488\", alpha=\"0.11\", expect_size=\"40095744\"] \n  22 [size=\"100536320\", alpha=\"0.13\", expect_size=\"50268160\"] \n  22 -> 23 [size =\"50268160\"]\n  23 [size=\"54595584\", alpha=\"0.18\", expect_size=\"27297792\"] \n  23 -> 24 [size =\"27297792\"]\n  23 -> 25 [size =\"27297792\"]\n  24 [size=\"98068480\", alpha=\"0.18\", expect_size=\"49034240\"] \n  25 [size=\"42295296\", alpha=\"0.08\", expect_size=\"21147648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164758187\", alpha=\"0.16\", expect_size=\"49427456\"] \n  1 -> 15 [size =\"49427456\"]\n  1 -> 16 [size =\"49427456\"]\n  2 [size=\"40676693\", alpha=\"0.04\", expect_size=\"12203008\"] \n  2 -> 18 [size =\"12203008\"]\n  2 -> 19 [size =\"12203008\"]\n  2 -> 21 [size =\"12203008\"]\n  3 [size=\"102795947\", alpha=\"0.09\", expect_size=\"30838784\"] \n  3 -> 15 [size =\"30838784\"]\n  3 -> 18 [size =\"30838784\"]\n  3 -> 19 [size =\"30838784\"]\n  3 -> 21 [size =\"30838784\"]\n  3 -> 23 [size =\"30838784\"]\n  4 [size=\"157999787\", alpha=\"0.08\", expect_size=\"47399936\"] \n  4 -> 19 [size =\"47399936\"]\n  4 -> 22 [size =\"47399936\"]\n  5 [size=\"26501120\", alpha=\"0.11\", expect_size=\"7950336\"] \n  5 -> 14 [size =\"7950336\"]\n  5 -> 17 [size =\"7950336\"]\n  5 -> 24 [size =\"7950336\"]\n  5 -> 25 [size =\"7950336\"]\n  6 [size=\"121664853\", alpha=\"0.03\", expect_size=\"36499456\"] \n  6 -> 13 [size =\"36499456\"]\n  6 -> 15 [size =\"36499456\"]\n  6 -> 18 [size =\"36499456\"]\n  6 -> 25 [size =\"36499456\"]\n  7 [size=\"47766187\", alpha=\"0.09\", expect_size=\"14329856\"] \n  7 -> 13 [size =\"14329856\"]\n  7 -> 15 [size =\"14329856\"]\n  7 -> 25 [size =\"14329856\"]\n  8 [size=\"60532053\", alpha=\"0.11\", expect_size=\"18159616\"] \n  8 -> 13 [size =\"18159616\"]\n  8 -> 15 [size =\"18159616\"]\n  8 -> 17 [size =\"18159616\"]\n  8 -> 18 [size =\"18159616\"]\n  8 -> 22 [size =\"18159616\"]\n  8 -> 24 [size =\"18159616\"]\n  8 -> 25 [size =\"18159616\"]\n  9 [size=\"56866133\", alpha=\"0.09\", expect_size=\"17059840\"] \n  9 -> 15 [size =\"17059840\"]\n  9 -> 15 [size =\"17059840\"]\n  9 -> 17 [size =\"17059840\"]\n  9 -> 21 [size =\"17059840\"]\n  9 -> 23 [size =\"17059840\"]\n  9 -> 25 [size =\"17059840\"]\n  10 [size=\"70376107\", alpha=\"0.06\", expect_size=\"21112832\"] \n  10 -> 15 [size =\"21112832\"]\n  10 -> 16 [size =\"21112832\"]\n  10 -> 18 [size =\"21112832\"]\n  10 -> 20 [size =\"21112832\"]\n  10 -> 21 [size =\"21112832\"]\n  10 -> 24 [size =\"21112832\"]\n  11 [size=\"65280000\", alpha=\"0.06\", expect_size=\"19584000\"] \n  11 -> 14 [size =\"19584000\"]\n  11 -> 15 [size =\"19584000\"]\n  11 -> 21 [size =\"19584000\"]\n  12 [size=\"37454507\", alpha=\"0.18\", expect_size=\"11236352\"] \n  12 -> 20 [size =\"11236352\"]\n  12 -> 25 [size =\"11236352\"]\n  13 [size=\"65921707\", alpha=\"0.16\", expect_size=\"19776512\"] \n  14 [size=\"139584853\", alpha=\"0.13\", expect_size=\"41875456\"] \n  15 [size=\"48226987\", alpha=\"0.15\", expect_size=\"14468096\"] \n  16 [size=\"130952533\", alpha=\"0.07\", expect_size=\"39285760\"] \n  17 [size=\"157129387\", alpha=\"0.10\", expect_size=\"47138816\"] \n  18 [size=\"72174933\", alpha=\"0.06\", expect_size=\"21652480\"] \n  19 [size=\"158508373\", alpha=\"0.01\", expect_size=\"47552512\"] \n  20 [size=\"74789547\", alpha=\"0.14\", expect_size=\"22436864\"] \n  21 [size=\"123863040\", alpha=\"0.05\", expect_size=\"37158912\"] \n  22 [size=\"167693653\", alpha=\"0.19\", expect_size=\"50308096\"] \n  23 [size=\"152750080\", alpha=\"0.04\", expect_size=\"45825024\"] \n  24 [size=\"124136107\", alpha=\"0.07\", expect_size=\"37240832\"] \n  25 [size=\"69792427\", alpha=\"0.11\", expect_size=\"20937728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59783168\", alpha=\"0.13\", expect_size=\"29891584\"] \n  1 -> 2 [size =\"29891584\"]\n  2 [size=\"73752576\", alpha=\"0.18\", expect_size=\"36876288\"] \n  2 -> 3 [size =\"36876288\"]\n  3 [size=\"79816704\", alpha=\"0.08\", expect_size=\"39908352\"] \n  3 -> 4 [size =\"39908352\"]\n  4 [size=\"90259456\", alpha=\"0.00\", expect_size=\"45129728\"] \n  4 -> 5 [size =\"45129728\"]\n  5 [size=\"29190144\", alpha=\"0.13\", expect_size=\"14595072\"] \n  5 -> 6 [size =\"14595072\"]\n  6 [size=\"37468160\", alpha=\"0.08\", expect_size=\"18734080\"] \n  6 -> 7 [size =\"18734080\"]\n  7 [size=\"51185664\", alpha=\"0.09\", expect_size=\"25592832\"] \n  7 -> 8 [size =\"25592832\"]\n  8 [size=\"54720512\", alpha=\"0.13\", expect_size=\"27360256\"] \n  8 -> 9 [size =\"27360256\"]\n  9 [size=\"51757056\", alpha=\"0.10\", expect_size=\"25878528\"] \n  9 -> 10 [size =\"25878528\"]\n  10 [size=\"77629440\", alpha=\"0.10\", expect_size=\"38814720\"] \n  10 -> 11 [size =\"38814720\"]\n  11 [size=\"104650752\", alpha=\"0.14\", expect_size=\"52325376\"] \n  11 -> 12 [size =\"52325376\"]\n  12 [size=\"72955904\", alpha=\"0.14\", expect_size=\"36477952\"] \n  12 -> 13 [size =\"36477952\"]\n  13 [size=\"61161472\", alpha=\"0.09\", expect_size=\"30580736\"] \n  13 -> 14 [size =\"30580736\"]\n  14 [size=\"100812800\", alpha=\"0.09\", expect_size=\"50406400\"] \n  14 -> 15 [size =\"50406400\"]\n  15 [size=\"102082560\", alpha=\"0.04\", expect_size=\"51041280\"] \n  15 -> 16 [size =\"51041280\"]\n  16 [size=\"71114752\", alpha=\"0.09\", expect_size=\"35557376\"] \n  16 -> 17 [size =\"35557376\"]\n  17 [size=\"14028800\", alpha=\"0.04\", expect_size=\"7014400\"] \n  17 -> 18 [size =\"7014400\"]\n  18 [size=\"55828480\", alpha=\"0.18\", expect_size=\"27914240\"] \n  18 -> 19 [size =\"27914240\"]\n  19 [size=\"22099968\", alpha=\"0.01\", expect_size=\"11049984\"] \n  19 -> 20 [size =\"11049984\"]\n  20 [size=\"68380672\", alpha=\"0.12\", expect_size=\"34190336\"] \n  20 -> 21 [size =\"34190336\"]\n  21 [size=\"22986752\", alpha=\"0.14\", expect_size=\"11493376\"] \n  21 -> 22 [size =\"11493376\"]\n  22 [size=\"89436160\", alpha=\"0.09\", expect_size=\"44718080\"] \n  22 -> 23 [size =\"44718080\"]\n  23 [size=\"59834368\", alpha=\"0.18\", expect_size=\"29917184\"] \n  23 -> 24 [size =\"29917184\"]\n  24 [size=\"103804928\", alpha=\"0.05\", expect_size=\"51902464\"] \n  24 -> 25 [size =\"51902464\"]\n  25 [size=\"51050496\", alpha=\"0.15\", expect_size=\"25525248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32006144\", alpha=\"0.07\", expect_size=\"16003072\"] \n  1 -> 3 [size =\"16003072\"]\n  2 [size=\"56983552\", alpha=\"0.06\", expect_size=\"28491776\"] \n  2 -> 4 [size =\"28491776\"]\n  3 [size=\"36106240\", alpha=\"0.10\", expect_size=\"18053120\"] \n  3 -> 5 [size =\"18053120\"]\n  4 [size=\"67670016\", alpha=\"0.07\", expect_size=\"33835008\"] \n  5 [size=\"21051392\", alpha=\"0.03\", expect_size=\"10525696\"] \n  5 -> 6 [size =\"10525696\"]\n  6 [size=\"79990784\", alpha=\"0.08\", expect_size=\"39995392\"] \n  6 -> 7 [size =\"39995392\"]\n  6 -> 8 [size =\"39995392\"]\n  7 [size=\"38920192\", alpha=\"0.09\", expect_size=\"19460096\"] \n  7 -> 9 [size =\"19460096\"]\n  8 [size=\"73633792\", alpha=\"0.14\", expect_size=\"36816896\"] \n  8 -> 10 [size =\"36816896\"]\n  9 [size=\"74977280\", alpha=\"0.13\", expect_size=\"37488640\"] \n  9 -> 11 [size =\"37488640\"]\n  10 [size=\"87797760\", alpha=\"0.13\", expect_size=\"43898880\"] \n  11 [size=\"65505280\", alpha=\"0.10\", expect_size=\"32752640\"] \n  11 -> 12 [size =\"32752640\"]\n  12 [size=\"96395264\", alpha=\"0.17\", expect_size=\"48197632\"] \n  12 -> 13 [size =\"48197632\"]\n  12 -> 14 [size =\"48197632\"]\n  13 [size=\"29114368\", alpha=\"0.02\", expect_size=\"14557184\"] \n  13 -> 15 [size =\"14557184\"]\n  14 [size=\"74868736\", alpha=\"0.13\", expect_size=\"37434368\"] \n  15 [size=\"14442496\", alpha=\"0.05\", expect_size=\"7221248\"] \n  15 -> 16 [size =\"7221248\"]\n  16 [size=\"27746304\", alpha=\"0.00\", expect_size=\"13873152\"] \n  16 -> 17 [size =\"13873152\"]\n  16 -> 18 [size =\"13873152\"]\n  17 [size=\"64739328\", alpha=\"0.06\", expect_size=\"32369664\"] \n  17 -> 20 [size =\"32369664\"]\n  18 [size=\"14430208\", alpha=\"0.07\", expect_size=\"7215104\"] \n  18 -> 19 [size =\"7215104\"]\n  19 [size=\"82739200\", alpha=\"0.19\", expect_size=\"41369600\"] \n  19 -> 21 [size =\"41369600\"]\n  20 [size=\"51726336\", alpha=\"0.12\", expect_size=\"25863168\"] \n  21 [size=\"16568320\", alpha=\"0.09\", expect_size=\"8284160\"] \n  21 -> 22 [size =\"8284160\"]\n  22 [size=\"62011392\", alpha=\"0.16\", expect_size=\"31005696\"] \n  22 -> 23 [size =\"31005696\"]\n  22 -> 24 [size =\"31005696\"]\n  23 [size=\"49072128\", alpha=\"0.09\", expect_size=\"24536064\"] \n  23 -> 25 [size =\"24536064\"]\n  24 [size=\"59142144\", alpha=\"0.14\", expect_size=\"29571072\"] \n  25 [size=\"27027456\", alpha=\"0.00\", expect_size=\"13513728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43194880\", alpha=\"0.09\", expect_size=\"17277952\"] \n  2 [size=\"69230080\", alpha=\"0.09\", expect_size=\"27692032\"] \n  2 -> 24 [size =\"27692032\"]\n  3 [size=\"57856000\", alpha=\"0.01\", expect_size=\"23142400\"] \n  4 [size=\"115676160\", alpha=\"0.15\", expect_size=\"46270464\"] \n  5 [size=\"14576640\", alpha=\"0.02\", expect_size=\"5830656\"] \n  6 [size=\"102092800\", alpha=\"0.13\", expect_size=\"40837120\"] \n  7 [size=\"28917760\", alpha=\"0.04\", expect_size=\"11567104\"] \n  8 [size=\"73121280\", alpha=\"0.09\", expect_size=\"29248512\"] \n  9 [size=\"15278080\", alpha=\"0.01\", expect_size=\"6111232\"] \n  10 [size=\"99202560\", alpha=\"0.00\", expect_size=\"39681024\"] \n  10 -> 25 [size =\"39681024\"]\n  11 [size=\"92979200\", alpha=\"0.08\", expect_size=\"37191680\"] \n  11 -> 24 [size =\"37191680\"]\n  12 [size=\"25561600\", alpha=\"0.14\", expect_size=\"10224640\"] \n  13 [size=\"78935040\", alpha=\"0.03\", expect_size=\"31574016\"] \n  14 [size=\"82063360\", alpha=\"0.07\", expect_size=\"32825344\"] \n  15 [size=\"50365440\", alpha=\"0.15\", expect_size=\"20146176\"] \n  16 [size=\"64199680\", alpha=\"0.20\", expect_size=\"25679872\"] \n  17 [size=\"21662720\", alpha=\"0.19\", expect_size=\"8665088\"] \n  18 [size=\"42782720\", alpha=\"0.03\", expect_size=\"17113088\"] \n  18 -> 25 [size =\"17113088\"]\n  19 [size=\"93207040\", alpha=\"0.12\", expect_size=\"37282816\"] \n  20 [size=\"96296960\", alpha=\"0.19\", expect_size=\"38518784\"] \n  20 -> 25 [size =\"38518784\"]\n  21 [size=\"98813440\", alpha=\"0.11\", expect_size=\"39525376\"] \n  22 [size=\"29153280\", alpha=\"0.12\", expect_size=\"11661312\"] \n  23 [size=\"112102400\", alpha=\"0.01\", expect_size=\"44840960\"] \n  23 -> 24 [size =\"44840960\"]\n  24 [size=\"126958080\", alpha=\"0.07\", expect_size=\"50783232\"] \n  25 [size=\"52940800\", alpha=\"0.14\", expect_size=\"21176320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12933120\", alpha=\"0.08\", expect_size=\"6466560\"] \n  1 -> 14 [size =\"6466560\"]\n  1 -> 15 [size =\"6466560\"]\n  2 [size=\"58871808\", alpha=\"0.20\", expect_size=\"29435904\"] \n  2 -> 13 [size =\"29435904\"]\n  2 -> 14 [size =\"29435904\"]\n  2 -> 16 [size =\"29435904\"]\n  3 [size=\"66015232\", alpha=\"0.14\", expect_size=\"33007616\"] \n  3 -> 14 [size =\"33007616\"]\n  3 -> 16 [size =\"33007616\"]\n  4 [size=\"61886464\", alpha=\"0.10\", expect_size=\"30943232\"] \n  4 -> 11 [size =\"30943232\"]\n  4 -> 15 [size =\"30943232\"]\n  4 -> 16 [size =\"30943232\"]\n  5 [size=\"84600832\", alpha=\"0.16\", expect_size=\"42300416\"] \n  5 -> 15 [size =\"42300416\"]\n  6 [size=\"21485568\", alpha=\"0.15\", expect_size=\"10742784\"] \n  6 -> 14 [size =\"10742784\"]\n  6 -> 15 [size =\"10742784\"]\n  6 -> 16 [size =\"10742784\"]\n  7 [size=\"65835008\", alpha=\"0.05\", expect_size=\"32917504\"] \n  7 -> 11 [size =\"32917504\"]\n  7 -> 13 [size =\"32917504\"]\n  7 -> 14 [size =\"32917504\"]\n  7 -> 16 [size =\"32917504\"]\n  8 [size=\"71708672\", alpha=\"0.09\", expect_size=\"35854336\"] \n  8 -> 11 [size =\"35854336\"]\n  8 -> 14 [size =\"35854336\"]\n  8 -> 16 [size =\"35854336\"]\n  9 [size=\"87816192\", alpha=\"0.17\", expect_size=\"43908096\"] \n  9 -> 12 [size =\"43908096\"]\n  9 -> 15 [size =\"43908096\"]\n  9 -> 16 [size =\"43908096\"]\n  10 [size=\"15230976\", alpha=\"0.02\", expect_size=\"7615488\"] \n  10 -> 11 [size =\"7615488\"]\n  10 -> 16 [size =\"7615488\"]\n  10 -> 16 [size =\"7615488\"]\n  11 [size=\"96110592\", alpha=\"0.08\", expect_size=\"48055296\"] \n  11 -> 19 [size =\"48055296\"]\n  11 -> 24 [size =\"48055296\"]\n  12 [size=\"40757248\", alpha=\"0.19\", expect_size=\"20378624\"] \n  12 -> 17 [size =\"20378624\"]\n  12 -> 18 [size =\"20378624\"]\n  12 -> 19 [size =\"20378624\"]\n  12 -> 21 [size =\"20378624\"]\n  12 -> 22 [size =\"20378624\"]\n  13 [size=\"39401472\", alpha=\"0.20\", expect_size=\"19700736\"] \n  13 -> 17 [size =\"19700736\"]\n  13 -> 18 [size =\"19700736\"]\n  13 -> 19 [size =\"19700736\"]\n  13 -> 20 [size =\"19700736\"]\n  13 -> 23 [size =\"19700736\"]\n  13 -> 25 [size =\"19700736\"]\n  14 [size=\"104302592\", alpha=\"0.06\", expect_size=\"52151296\"] \n  14 -> 17 [size =\"52151296\"]\n  14 -> 19 [size =\"52151296\"]\n  14 -> 22 [size =\"52151296\"]\n  14 -> 23 [size =\"52151296\"]\n  14 -> 23 [size =\"52151296\"]\n  14 -> 25 [size =\"52151296\"]\n  15 [size=\"56090624\", alpha=\"0.16\", expect_size=\"28045312\"] \n  15 -> 17 [size =\"28045312\"]\n  15 -> 18 [size =\"28045312\"]\n  15 -> 21 [size =\"28045312\"]\n  15 -> 22 [size =\"28045312\"]\n  15 -> 25 [size =\"28045312\"]\n  15 -> 25 [size =\"28045312\"]\n  16 [size=\"34875392\", alpha=\"0.05\", expect_size=\"17437696\"] \n  16 -> 17 [size =\"17437696\"]\n  16 -> 24 [size =\"17437696\"]\n  16 -> 25 [size =\"17437696\"]\n  17 [size=\"13146112\", alpha=\"0.07\", expect_size=\"6573056\"] \n  18 [size=\"35840000\", alpha=\"0.04\", expect_size=\"17920000\"] \n  19 [size=\"76009472\", alpha=\"0.18\", expect_size=\"38004736\"] \n  20 [size=\"61214720\", alpha=\"0.06\", expect_size=\"30607360\"] \n  21 [size=\"71997440\", alpha=\"0.15\", expect_size=\"35998720\"] \n  22 [size=\"16138240\", alpha=\"0.14\", expect_size=\"8069120\"] \n  23 [size=\"11177984\", alpha=\"0.05\", expect_size=\"5588992\"] \n  24 [size=\"104536064\", alpha=\"0.07\", expect_size=\"52268032\"] \n  25 [size=\"40349696\", alpha=\"0.04\", expect_size=\"20174848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90060800\", alpha=\"0.03\", expect_size=\"27018240\"] \n  1 -> 18 [size =\"27018240\"]\n  1 -> 23 [size =\"27018240\"]\n  1 -> 25 [size =\"27018240\"]\n  1 -> 25 [size =\"27018240\"]\n  2 [size=\"73171627\", alpha=\"0.13\", expect_size=\"21951488\"] \n  2 -> 20 [size =\"21951488\"]\n  2 -> 21 [size =\"21951488\"]\n  3 [size=\"111134720\", alpha=\"0.01\", expect_size=\"33340416\"] \n  3 -> 18 [size =\"33340416\"]\n  3 -> 20 [size =\"33340416\"]\n  4 [size=\"19083947\", alpha=\"0.09\", expect_size=\"5725184\"] \n  4 -> 19 [size =\"5725184\"]\n  4 -> 22 [size =\"5725184\"]\n  4 -> 23 [size =\"5725184\"]\n  5 [size=\"91538773\", alpha=\"0.07\", expect_size=\"27461632\"] \n  5 -> 20 [size =\"27461632\"]\n  5 -> 24 [size =\"27461632\"]\n  6 [size=\"143636480\", alpha=\"0.16\", expect_size=\"43090944\"] \n  6 -> 19 [size =\"43090944\"]\n  6 -> 20 [size =\"43090944\"]\n  6 -> 23 [size =\"43090944\"]\n  7 [size=\"161024000\", alpha=\"0.20\", expect_size=\"48307200\"] \n  7 -> 21 [size =\"48307200\"]\n  7 -> 22 [size =\"48307200\"]\n  8 [size=\"171728213\", alpha=\"0.07\", expect_size=\"51518464\"] \n  8 -> 19 [size =\"51518464\"]\n  8 -> 20 [size =\"51518464\"]\n  8 -> 25 [size =\"51518464\"]\n  9 [size=\"71424000\", alpha=\"0.18\", expect_size=\"21427200\"] \n  9 -> 18 [size =\"21427200\"]\n  9 -> 23 [size =\"21427200\"]\n  10 [size=\"169809920\", alpha=\"0.06\", expect_size=\"50942976\"] \n  10 -> 18 [size =\"50942976\"]\n  10 -> 22 [size =\"50942976\"]\n  10 -> 24 [size =\"50942976\"]\n  10 -> 25 [size =\"50942976\"]\n  11 [size=\"106420907\", alpha=\"0.10\", expect_size=\"31926272\"] \n  11 -> 18 [size =\"31926272\"]\n  11 -> 21 [size =\"31926272\"]\n  11 -> 23 [size =\"31926272\"]\n  11 -> 24 [size =\"31926272\"]\n  12 [size=\"131853653\", alpha=\"0.14\", expect_size=\"39556096\"] \n  12 -> 18 [size =\"39556096\"]\n  12 -> 23 [size =\"39556096\"]\n  12 -> 24 [size =\"39556096\"]\n  12 -> 24 [size =\"39556096\"]\n  12 -> 25 [size =\"39556096\"]\n  13 [size=\"73533440\", alpha=\"0.19\", expect_size=\"22060032\"] \n  13 -> 18 [size =\"22060032\"]\n  13 -> 22 [size =\"22060032\"]\n  13 -> 24 [size =\"22060032\"]\n  14 [size=\"83056640\", alpha=\"0.16\", expect_size=\"24916992\"] \n  14 -> 18 [size =\"24916992\"]\n  14 -> 20 [size =\"24916992\"]\n  14 -> 22 [size =\"24916992\"]\n  14 -> 25 [size =\"24916992\"]\n  15 [size=\"151316480\", alpha=\"0.00\", expect_size=\"45394944\"] \n  15 -> 19 [size =\"45394944\"]\n  15 -> 20 [size =\"45394944\"]\n  15 -> 23 [size =\"45394944\"]\n  15 -> 24 [size =\"45394944\"]\n  15 -> 25 [size =\"45394944\"]\n  16 [size=\"47284907\", alpha=\"0.00\", expect_size=\"14185472\"] \n  16 -> 18 [size =\"14185472\"]\n  16 -> 19 [size =\"14185472\"]\n  16 -> 20 [size =\"14185472\"]\n  16 -> 22 [size =\"14185472\"]\n  16 -> 23 [size =\"14185472\"]\n  16 -> 24 [size =\"14185472\"]\n  16 -> 25 [size =\"14185472\"]\n  17 [size=\"170103467\", alpha=\"0.04\", expect_size=\"51031040\"] \n  17 -> 19 [size =\"51031040\"]\n  17 -> 22 [size =\"51031040\"]\n  17 -> 23 [size =\"51031040\"]\n  17 -> 25 [size =\"51031040\"]\n  18 [size=\"167485440\", alpha=\"0.06\", expect_size=\"50245632\"] \n  19 [size=\"63119360\", alpha=\"0.01\", expect_size=\"18935808\"] \n  20 [size=\"45253973\", alpha=\"0.16\", expect_size=\"13576192\"] \n  21 [size=\"94474240\", alpha=\"0.01\", expect_size=\"28342272\"] \n  22 [size=\"169775787\", alpha=\"0.13\", expect_size=\"50932736\"] \n  23 [size=\"124644693\", alpha=\"0.17\", expect_size=\"37393408\"] \n  24 [size=\"119961600\", alpha=\"0.01\", expect_size=\"35988480\"] \n  25 [size=\"91132587\", alpha=\"0.14\", expect_size=\"27339776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64305152\", alpha=\"0.01\", expect_size=\"32152576\"] \n  1 -> 15 [size =\"32152576\"]\n  1 -> 17 [size =\"32152576\"]\n  1 -> 18 [size =\"32152576\"]\n  1 -> 25 [size =\"32152576\"]\n  2 [size=\"38793216\", alpha=\"0.04\", expect_size=\"19396608\"] \n  2 -> 20 [size =\"19396608\"]\n  2 -> 21 [size =\"19396608\"]\n  2 -> 23 [size =\"19396608\"]\n  2 -> 24 [size =\"19396608\"]\n  2 -> 25 [size =\"19396608\"]\n  3 [size=\"30441472\", alpha=\"0.02\", expect_size=\"15220736\"] \n  3 -> 25 [size =\"15220736\"]\n  4 [size=\"89751552\", alpha=\"0.11\", expect_size=\"44875776\"] \n  4 -> 25 [size =\"44875776\"]\n  5 [size=\"53997568\", alpha=\"0.14\", expect_size=\"26998784\"] \n  5 -> 19 [size =\"26998784\"]\n  5 -> 20 [size =\"26998784\"]\n  5 -> 23 [size =\"26998784\"]\n  6 [size=\"89645056\", alpha=\"0.02\", expect_size=\"44822528\"] \n  6 -> 23 [size =\"44822528\"]\n  6 -> 24 [size =\"44822528\"]\n  7 [size=\"63985664\", alpha=\"0.08\", expect_size=\"31992832\"] \n  7 -> 19 [size =\"31992832\"]\n  7 -> 20 [size =\"31992832\"]\n  7 -> 24 [size =\"31992832\"]\n  8 [size=\"79753216\", alpha=\"0.06\", expect_size=\"39876608\"] \n  8 -> 25 [size =\"39876608\"]\n  9 [size=\"36464640\", alpha=\"0.02\", expect_size=\"18232320\"] \n  9 -> 19 [size =\"18232320\"]\n  9 -> 20 [size =\"18232320\"]\n  9 -> 22 [size =\"18232320\"]\n  9 -> 23 [size =\"18232320\"]\n  9 -> 24 [size =\"18232320\"]\n  10 [size=\"20948992\", alpha=\"0.04\", expect_size=\"10474496\"] \n  10 -> 15 [size =\"10474496\"]\n  11 [size=\"13899776\", alpha=\"0.11\", expect_size=\"6949888\"] \n  11 -> 23 [size =\"6949888\"]\n  12 [size=\"16936960\", alpha=\"0.10\", expect_size=\"8468480\"] \n  12 -> 20 [size =\"8468480\"]\n  12 -> 23 [size =\"8468480\"]\n  12 -> 25 [size =\"8468480\"]\n  13 [size=\"37888000\", alpha=\"0.18\", expect_size=\"18944000\"] \n  13 -> 18 [size =\"18944000\"]\n  13 -> 19 [size =\"18944000\"]\n  13 -> 23 [size =\"18944000\"]\n  14 [size=\"45682688\", alpha=\"0.01\", expect_size=\"22841344\"] \n  14 -> 16 [size =\"22841344\"]\n  14 -> 22 [size =\"22841344\"]\n  15 [size=\"96747520\", alpha=\"0.14\", expect_size=\"48373760\"] \n  16 [size=\"68993024\", alpha=\"0.12\", expect_size=\"34496512\"] \n  17 [size=\"79306752\", alpha=\"0.18\", expect_size=\"39653376\"] \n  18 [size=\"22173696\", alpha=\"0.20\", expect_size=\"11086848\"] \n  19 [size=\"50644992\", alpha=\"0.12\", expect_size=\"25322496\"] \n  20 [size=\"58136576\", alpha=\"0.12\", expect_size=\"29068288\"] \n  21 [size=\"79292416\", alpha=\"0.04\", expect_size=\"39646208\"] \n  22 [size=\"35143680\", alpha=\"0.02\", expect_size=\"17571840\"] \n  23 [size=\"81483776\", alpha=\"0.04\", expect_size=\"40741888\"] \n  24 [size=\"74000384\", alpha=\"0.03\", expect_size=\"37000192\"] \n  25 [size=\"80965632\", alpha=\"0.12\", expect_size=\"40482816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27330560\", alpha=\"0.08\", expect_size=\"13665280\"] \n  1 -> 24 [size =\"13665280\"]\n  1 -> 24 [size =\"13665280\"]\n  2 [size=\"33605632\", alpha=\"0.16\", expect_size=\"16802816\"] \n  3 [size=\"41289728\", alpha=\"0.12\", expect_size=\"20644864\"] \n  3 -> 23 [size =\"20644864\"]\n  4 [size=\"26378240\", alpha=\"0.03\", expect_size=\"13189120\"] \n  4 -> 22 [size =\"13189120\"]\n  4 -> 23 [size =\"13189120\"]\n  4 -> 25 [size =\"13189120\"]\n  5 [size=\"100116480\", alpha=\"0.02\", expect_size=\"50058240\"] \n  5 -> 24 [size =\"50058240\"]\n  6 [size=\"92948480\", alpha=\"0.09\", expect_size=\"46474240\"] \n  6 -> 24 [size =\"46474240\"]\n  7 [size=\"31178752\", alpha=\"0.06\", expect_size=\"15589376\"] \n  7 -> 23 [size =\"15589376\"]\n  7 -> 24 [size =\"15589376\"]\n  7 -> 25 [size =\"15589376\"]\n  8 [size=\"103471104\", alpha=\"0.05\", expect_size=\"51735552\"] \n  8 -> 23 [size =\"51735552\"]\n  8 -> 24 [size =\"51735552\"]\n  9 [size=\"29890560\", alpha=\"0.06\", expect_size=\"14945280\"] \n  9 -> 22 [size =\"14945280\"]\n  9 -> 23 [size =\"14945280\"]\n  9 -> 24 [size =\"14945280\"]\n  10 [size=\"34213888\", alpha=\"0.03\", expect_size=\"17106944\"] \n  10 -> 22 [size =\"17106944\"]\n  10 -> 23 [size =\"17106944\"]\n  10 -> 24 [size =\"17106944\"]\n  11 [size=\"10995712\", alpha=\"0.02\", expect_size=\"5497856\"] \n  11 -> 22 [size =\"5497856\"]\n  11 -> 23 [size =\"5497856\"]\n  11 -> 24 [size =\"5497856\"]\n  12 [size=\"49057792\", alpha=\"0.16\", expect_size=\"24528896\"] \n  12 -> 22 [size =\"24528896\"]\n  12 -> 24 [size =\"24528896\"]\n  13 [size=\"31674368\", alpha=\"0.08\", expect_size=\"15837184\"] \n  13 -> 25 [size =\"15837184\"]\n  14 [size=\"88872960\", alpha=\"0.17\", expect_size=\"44436480\"] \n  14 -> 22 [size =\"44436480\"]\n  14 -> 24 [size =\"44436480\"]\n  15 [size=\"103051264\", alpha=\"0.18\", expect_size=\"51525632\"] \n  15 -> 22 [size =\"51525632\"]\n  15 -> 24 [size =\"51525632\"]\n  16 [size=\"15851520\", alpha=\"0.04\", expect_size=\"7925760\"] \n  16 -> 22 [size =\"7925760\"]\n  17 [size=\"57503744\", alpha=\"0.02\", expect_size=\"28751872\"] \n  17 -> 22 [size =\"28751872\"]\n  17 -> 23 [size =\"28751872\"]\n  17 -> 24 [size =\"28751872\"]\n  18 [size=\"86804480\", alpha=\"0.13\", expect_size=\"43402240\"] \n  18 -> 22 [size =\"43402240\"]\n  18 -> 23 [size =\"43402240\"]\n  19 [size=\"18180096\", alpha=\"0.14\", expect_size=\"9090048\"] \n  19 -> 22 [size =\"9090048\"]\n  19 -> 24 [size =\"9090048\"]\n  20 [size=\"44572672\", alpha=\"0.09\", expect_size=\"22286336\"] \n  20 -> 22 [size =\"22286336\"]\n  20 -> 24 [size =\"22286336\"]\n  21 [size=\"58198016\", alpha=\"0.08\", expect_size=\"29099008\"] \n  21 -> 22 [size =\"29099008\"]\n  21 -> 24 [size =\"29099008\"]\n  21 -> 25 [size =\"29099008\"]\n  22 [size=\"67297280\", alpha=\"0.12\", expect_size=\"33648640\"] \n  23 [size=\"46710784\", alpha=\"0.03\", expect_size=\"23355392\"] \n  24 [size=\"83165184\", alpha=\"0.17\", expect_size=\"41582592\"] \n  25 [size=\"68861952\", alpha=\"0.10\", expect_size=\"34430976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160157013\", alpha=\"0.05\", expect_size=\"48047104\"] \n  1 -> 5 [size =\"48047104\"]\n  1 -> 7 [size =\"48047104\"]\n  1 -> 7 [size =\"48047104\"]\n  2 [size=\"37376000\", alpha=\"0.15\", expect_size=\"11212800\"] \n  2 -> 5 [size =\"11212800\"]\n  2 -> 6 [size =\"11212800\"]\n  3 [size=\"136287573\", alpha=\"0.09\", expect_size=\"40886272\"] \n  3 -> 5 [size =\"40886272\"]\n  3 -> 7 [size =\"40886272\"]\n  4 [size=\"86824960\", alpha=\"0.13\", expect_size=\"26047488\"] \n  4 -> 5 [size =\"26047488\"]\n  4 -> 6 [size =\"26047488\"]\n  4 -> 7 [size =\"26047488\"]\n  5 [size=\"138093227\", alpha=\"0.11\", expect_size=\"41427968\"] \n  5 -> 8 [size =\"41427968\"]\n  5 -> 9 [size =\"41427968\"]\n  5 -> 10 [size =\"41427968\"]\n  5 -> 11 [size =\"41427968\"]\n  6 [size=\"51749547\", alpha=\"0.10\", expect_size=\"15524864\"] \n  6 -> 9 [size =\"15524864\"]\n  6 -> 9 [size =\"15524864\"]\n  6 -> 10 [size =\"15524864\"]\n  7 [size=\"54149120\", alpha=\"0.08\", expect_size=\"16244736\"] \n  7 -> 8 [size =\"16244736\"]\n  7 -> 10 [size =\"16244736\"]\n  8 [size=\"90798080\", alpha=\"0.00\", expect_size=\"27239424\"] \n  8 -> 12 [size =\"27239424\"]\n  8 -> 13 [size =\"27239424\"]\n  9 [size=\"24900267\", alpha=\"0.16\", expect_size=\"7470080\"] \n  9 -> 12 [size =\"7470080\"]\n  9 -> 13 [size =\"7470080\"]\n  9 -> 15 [size =\"7470080\"]\n  10 [size=\"117940907\", alpha=\"0.19\", expect_size=\"35382272\"] \n  10 -> 12 [size =\"35382272\"]\n  11 [size=\"103236267\", alpha=\"0.08\", expect_size=\"30970880\"] \n  11 -> 13 [size =\"30970880\"]\n  11 -> 14 [size =\"30970880\"]\n  12 [size=\"146094080\", alpha=\"0.08\", expect_size=\"43828224\"] \n  12 -> 16 [size =\"43828224\"]\n  12 -> 17 [size =\"43828224\"]\n  13 [size=\"108837547\", alpha=\"0.07\", expect_size=\"32651264\"] \n  13 -> 16 [size =\"32651264\"]\n  13 -> 17 [size =\"32651264\"]\n  13 -> 18 [size =\"32651264\"]\n  14 [size=\"25791147\", alpha=\"0.05\", expect_size=\"7737344\"] \n  14 -> 17 [size =\"7737344\"]\n  15 [size=\"131826347\", alpha=\"0.12\", expect_size=\"39547904\"] \n  15 -> 16 [size =\"39547904\"]\n  15 -> 17 [size =\"39547904\"]\n  15 -> 19 [size =\"39547904\"]\n  16 [size=\"58658133\", alpha=\"0.17\", expect_size=\"17597440\"] \n  16 -> 20 [size =\"17597440\"]\n  16 -> 21 [size =\"17597440\"]\n  16 -> 22 [size =\"17597440\"]\n  17 [size=\"137786027\", alpha=\"0.19\", expect_size=\"41335808\"] \n  17 -> 20 [size =\"41335808\"]\n  17 -> 21 [size =\"41335808\"]\n  18 [size=\"44151467\", alpha=\"0.17\", expect_size=\"13245440\"] \n  18 -> 20 [size =\"13245440\"]\n  19 [size=\"44786347\", alpha=\"0.16\", expect_size=\"13435904\"] \n  19 -> 20 [size =\"13435904\"]\n  20 [size=\"168615253\", alpha=\"0.11\", expect_size=\"50584576\"] \n  20 -> 23 [size =\"50584576\"]\n  20 -> 24 [size =\"50584576\"]\n  20 -> 25 [size =\"50584576\"]\n  21 [size=\"164430507\", alpha=\"0.04\", expect_size=\"49329152\"] \n  21 -> 23 [size =\"49329152\"]\n  21 -> 24 [size =\"49329152\"]\n  21 -> 25 [size =\"49329152\"]\n  22 [size=\"71697067\", alpha=\"0.19\", expect_size=\"21509120\"] \n  22 -> 23 [size =\"21509120\"]\n  22 -> 24 [size =\"21509120\"]\n  22 -> 25 [size =\"21509120\"]\n  23 [size=\"134990507\", alpha=\"0.10\", expect_size=\"40497152\"] \n  24 [size=\"30460587\", alpha=\"0.09\", expect_size=\"9138176\"] \n  25 [size=\"67921920\", alpha=\"0.04\", expect_size=\"20376576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132369067\", alpha=\"0.13\", expect_size=\"39710720\"] \n  1 -> 9 [size =\"39710720\"]\n  1 -> 16 [size =\"39710720\"]\n  2 [size=\"116114773\", alpha=\"0.01\", expect_size=\"34834432\"] \n  2 -> 11 [size =\"34834432\"]\n  2 -> 16 [size =\"34834432\"]\n  2 -> 17 [size =\"34834432\"]\n  3 [size=\"165372587\", alpha=\"0.16\", expect_size=\"49611776\"] \n  3 -> 12 [size =\"49611776\"]\n  3 -> 16 [size =\"49611776\"]\n  3 -> 17 [size =\"49611776\"]\n  4 [size=\"106202453\", alpha=\"0.08\", expect_size=\"31860736\"] \n  4 -> 10 [size =\"31860736\"]\n  4 -> 15 [size =\"31860736\"]\n  4 -> 16 [size =\"31860736\"]\n  4 -> 17 [size =\"31860736\"]\n  4 -> 18 [size =\"31860736\"]\n  5 [size=\"78742187\", alpha=\"0.09\", expect_size=\"23622656\"] \n  5 -> 10 [size =\"23622656\"]\n  5 -> 13 [size =\"23622656\"]\n  5 -> 15 [size =\"23622656\"]\n  5 -> 17 [size =\"23622656\"]\n  6 [size=\"26719573\", alpha=\"0.00\", expect_size=\"8015872\"] \n  6 -> 12 [size =\"8015872\"]\n  6 -> 13 [size =\"8015872\"]\n  6 -> 15 [size =\"8015872\"]\n  6 -> 18 [size =\"8015872\"]\n  7 [size=\"39710720\", alpha=\"0.19\", expect_size=\"11913216\"] \n  7 -> 8 [size =\"11913216\"]\n  7 -> 10 [size =\"11913216\"]\n  7 -> 12 [size =\"11913216\"]\n  7 -> 13 [size =\"11913216\"]\n  7 -> 14 [size =\"11913216\"]\n  7 -> 15 [size =\"11913216\"]\n  8 [size=\"168506027\", alpha=\"0.01\", expect_size=\"50551808\"] \n  8 -> 19 [size =\"50551808\"]\n  9 [size=\"142260907\", alpha=\"0.10\", expect_size=\"42678272\"] \n  9 -> 23 [size =\"42678272\"]\n  9 -> 24 [size =\"42678272\"]\n  9 -> 25 [size =\"42678272\"]\n  10 [size=\"132833280\", alpha=\"0.08\", expect_size=\"39849984\"] \n  10 -> 24 [size =\"39849984\"]\n  10 -> 25 [size =\"39849984\"]\n  11 [size=\"115206827\", alpha=\"0.01\", expect_size=\"34562048\"] \n  11 -> 19 [size =\"34562048\"]\n  11 -> 20 [size =\"34562048\"]\n  11 -> 22 [size =\"34562048\"]\n  11 -> 24 [size =\"34562048\"]\n  11 -> 25 [size =\"34562048\"]\n  12 [size=\"56541867\", alpha=\"0.01\", expect_size=\"16962560\"] \n  12 -> 19 [size =\"16962560\"]\n  13 [size=\"63928320\", alpha=\"0.04\", expect_size=\"19178496\"] \n  14 [size=\"34734080\", alpha=\"0.11\", expect_size=\"10420224\"] \n  14 -> 20 [size =\"10420224\"]\n  14 -> 22 [size =\"10420224\"]\n  14 -> 23 [size =\"10420224\"]\n  14 -> 24 [size =\"10420224\"]\n  15 [size=\"99908267\", alpha=\"0.17\", expect_size=\"29972480\"] \n  15 -> 19 [size =\"29972480\"]\n  15 -> 21 [size =\"29972480\"]\n  15 -> 24 [size =\"29972480\"]\n  15 -> 24 [size =\"29972480\"]\n  16 [size=\"167355733\", alpha=\"0.08\", expect_size=\"50206720\"] \n  16 -> 19 [size =\"50206720\"]\n  17 [size=\"168352427\", alpha=\"0.11\", expect_size=\"50505728\"] \n  17 -> 19 [size =\"50505728\"]\n  18 [size=\"163157333\", alpha=\"0.04\", expect_size=\"48947200\"] \n  19 [size=\"169656320\", alpha=\"0.07\", expect_size=\"50896896\"] \n  20 [size=\"91443200\", alpha=\"0.16\", expect_size=\"27432960\"] \n  21 [size=\"155630933\", alpha=\"0.20\", expect_size=\"46689280\"] \n  22 [size=\"162925227\", alpha=\"0.15\", expect_size=\"48877568\"] \n  23 [size=\"169338880\", alpha=\"0.10\", expect_size=\"50801664\"] \n  24 [size=\"40823467\", alpha=\"0.16\", expect_size=\"12247040\"] \n  25 [size=\"125429760\", alpha=\"0.10\", expect_size=\"37628928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91453440\", alpha=\"0.03\", expect_size=\"45726720\"] \n  1 -> 6 [size =\"45726720\"]\n  1 -> 7 [size =\"45726720\"]\n  1 -> 8 [size =\"45726720\"]\n  1 -> 9 [size =\"45726720\"]\n  2 [size=\"54228992\", alpha=\"0.13\", expect_size=\"27114496\"] \n  2 -> 9 [size =\"27114496\"]\n  3 [size=\"59817984\", alpha=\"0.16\", expect_size=\"29908992\"] \n  3 -> 6 [size =\"29908992\"]\n  3 -> 7 [size =\"29908992\"]\n  4 [size=\"25974784\", alpha=\"0.18\", expect_size=\"12987392\"] \n  5 [size=\"64038912\", alpha=\"0.06\", expect_size=\"32019456\"] \n  5 -> 6 [size =\"32019456\"]\n  5 -> 7 [size =\"32019456\"]\n  6 [size=\"46047232\", alpha=\"0.02\", expect_size=\"23023616\"] \n  6 -> 10 [size =\"23023616\"]\n  6 -> 11 [size =\"23023616\"]\n  6 -> 12 [size =\"23023616\"]\n  7 [size=\"20008960\", alpha=\"0.06\", expect_size=\"10004480\"] \n  7 -> 10 [size =\"10004480\"]\n  7 -> 12 [size =\"10004480\"]\n  7 -> 12 [size =\"10004480\"]\n  8 [size=\"14489600\", alpha=\"0.04\", expect_size=\"7244800\"] \n  8 -> 10 [size =\"7244800\"]\n  9 [size=\"95580160\", alpha=\"0.17\", expect_size=\"47790080\"] \n  9 -> 11 [size =\"47790080\"]\n  9 -> 12 [size =\"47790080\"]\n  10 [size=\"29929472\", alpha=\"0.09\", expect_size=\"14964736\"] \n  10 -> 13 [size =\"14964736\"]\n  10 -> 14 [size =\"14964736\"]\n  10 -> 16 [size =\"14964736\"]\n  11 [size=\"97499136\", alpha=\"0.14\", expect_size=\"48749568\"] \n  11 -> 13 [size =\"48749568\"]\n  11 -> 14 [size =\"48749568\"]\n  12 [size=\"18219008\", alpha=\"0.16\", expect_size=\"9109504\"] \n  12 -> 13 [size =\"9109504\"]\n  12 -> 14 [size =\"9109504\"]\n  12 -> 15 [size =\"9109504\"]\n  12 -> 17 [size =\"9109504\"]\n  13 [size=\"79247360\", alpha=\"0.14\", expect_size=\"39623680\"] \n  14 [size=\"59975680\", alpha=\"0.14\", expect_size=\"29987840\"] \n  14 -> 20 [size =\"29987840\"]\n  14 -> 21 [size =\"29987840\"]\n  15 [size=\"51091456\", alpha=\"0.03\", expect_size=\"25545728\"] \n  15 -> 19 [size =\"25545728\"]\n  15 -> 20 [size =\"25545728\"]\n  15 -> 21 [size =\"25545728\"]\n  16 [size=\"81584128\", alpha=\"0.05\", expect_size=\"40792064\"] \n  16 -> 18 [size =\"40792064\"]\n  16 -> 20 [size =\"40792064\"]\n  16 -> 21 [size =\"40792064\"]\n  17 [size=\"92231680\", alpha=\"0.12\", expect_size=\"46115840\"] \n  17 -> 20 [size =\"46115840\"]\n  17 -> 21 [size =\"46115840\"]\n  17 -> 21 [size =\"46115840\"]\n  18 [size=\"25055232\", alpha=\"0.19\", expect_size=\"12527616\"] \n  18 -> 24 [size =\"12527616\"]\n  18 -> 25 [size =\"12527616\"]\n  19 [size=\"45363200\", alpha=\"0.01\", expect_size=\"22681600\"] \n  19 -> 23 [size =\"22681600\"]\n  19 -> 24 [size =\"22681600\"]\n  19 -> 25 [size =\"22681600\"]\n  20 [size=\"29526016\", alpha=\"0.20\", expect_size=\"14763008\"] \n  20 -> 22 [size =\"14763008\"]\n  20 -> 23 [size =\"14763008\"]\n  20 -> 24 [size =\"14763008\"]\n  20 -> 25 [size =\"14763008\"]\n  21 [size=\"73009152\", alpha=\"0.15\", expect_size=\"36504576\"] \n  21 -> 22 [size =\"36504576\"]\n  21 -> 23 [size =\"36504576\"]\n  21 -> 24 [size =\"36504576\"]\n  22 [size=\"42784768\", alpha=\"0.00\", expect_size=\"21392384\"] \n  23 [size=\"25321472\", alpha=\"0.15\", expect_size=\"12660736\"] \n  24 [size=\"89280512\", alpha=\"0.14\", expect_size=\"44640256\"] \n  25 [size=\"62953472\", alpha=\"0.04\", expect_size=\"31476736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172844373\", alpha=\"0.00\", expect_size=\"51853312\"] \n  2 [size=\"105919147\", alpha=\"0.02\", expect_size=\"31775744\"] \n  2 -> 19 [size =\"31775744\"]\n  2 -> 20 [size =\"31775744\"]\n  2 -> 21 [size =\"31775744\"]\n  3 [size=\"119797760\", alpha=\"0.03\", expect_size=\"35939328\"] \n  4 [size=\"116503893\", alpha=\"0.19\", expect_size=\"34951168\"] \n  4 -> 20 [size =\"34951168\"]\n  4 -> 23 [size =\"34951168\"]\n  5 [size=\"78448640\", alpha=\"0.03\", expect_size=\"23534592\"] \n  5 -> 19 [size =\"23534592\"]\n  5 -> 23 [size =\"23534592\"]\n  5 -> 25 [size =\"23534592\"]\n  6 [size=\"87606613\", alpha=\"0.08\", expect_size=\"26281984\"] \n  6 -> 19 [size =\"26281984\"]\n  6 -> 22 [size =\"26281984\"]\n  6 -> 23 [size =\"26281984\"]\n  6 -> 25 [size =\"26281984\"]\n  7 [size=\"39157760\", alpha=\"0.10\", expect_size=\"11747328\"] \n  7 -> 19 [size =\"11747328\"]\n  7 -> 22 [size =\"11747328\"]\n  7 -> 25 [size =\"11747328\"]\n  8 [size=\"47991467\", alpha=\"0.03\", expect_size=\"14397440\"] \n  8 -> 23 [size =\"14397440\"]\n  9 [size=\"165853867\", alpha=\"0.06\", expect_size=\"49756160\"] \n  9 -> 25 [size =\"49756160\"]\n  10 [size=\"34819413\", alpha=\"0.16\", expect_size=\"10445824\"] \n  10 -> 19 [size =\"10445824\"]\n  10 -> 21 [size =\"10445824\"]\n  11 [size=\"149394773\", alpha=\"0.04\", expect_size=\"44818432\"] \n  11 -> 19 [size =\"44818432\"]\n  11 -> 21 [size =\"44818432\"]\n  11 -> 23 [size =\"44818432\"]\n  11 -> 24 [size =\"44818432\"]\n  12 [size=\"149828267\", alpha=\"0.11\", expect_size=\"44948480\"] \n  12 -> 19 [size =\"44948480\"]\n  12 -> 23 [size =\"44948480\"]\n  13 [size=\"162457600\", alpha=\"0.13\", expect_size=\"48737280\"] \n  13 -> 21 [size =\"48737280\"]\n  14 [size=\"29726720\", alpha=\"0.20\", expect_size=\"8918016\"] \n  14 -> 22 [size =\"8918016\"]\n  14 -> 25 [size =\"8918016\"]\n  15 [size=\"22282240\", alpha=\"0.06\", expect_size=\"6684672\"] \n  15 -> 20 [size =\"6684672\"]\n  15 -> 21 [size =\"6684672\"]\n  15 -> 23 [size =\"6684672\"]\n  16 [size=\"46776320\", alpha=\"0.04\", expect_size=\"14032896\"] \n  16 -> 25 [size =\"14032896\"]\n  17 [size=\"109755733\", alpha=\"0.09\", expect_size=\"32926720\"] \n  17 -> 19 [size =\"32926720\"]\n  17 -> 21 [size =\"32926720\"]\n  17 -> 23 [size =\"32926720\"]\n  18 [size=\"33116160\", alpha=\"0.17\", expect_size=\"9934848\"] \n  19 [size=\"53684907\", alpha=\"0.10\", expect_size=\"16105472\"] \n  20 [size=\"102884693\", alpha=\"0.09\", expect_size=\"30865408\"] \n  21 [size=\"74984107\", alpha=\"0.08\", expect_size=\"22495232\"] \n  22 [size=\"104683520\", alpha=\"0.18\", expect_size=\"31405056\"] \n  23 [size=\"31146667\", alpha=\"0.00\", expect_size=\"9344000\"] \n  24 [size=\"131068587\", alpha=\"0.16\", expect_size=\"39320576\"] \n  25 [size=\"130061653\", alpha=\"0.19\", expect_size=\"39018496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84170240\", alpha=\"0.02\", expect_size=\"33668096\"] \n  1 -> 2 [size =\"33668096\"]\n  2 [size=\"73730560\", alpha=\"0.04\", expect_size=\"29492224\"] \n  2 -> 3 [size =\"29492224\"]\n  3 [size=\"100887040\", alpha=\"0.06\", expect_size=\"40354816\"] \n  3 -> 4 [size =\"40354816\"]\n  4 [size=\"43205120\", alpha=\"0.06\", expect_size=\"17282048\"] \n  4 -> 5 [size =\"17282048\"]\n  5 [size=\"51622400\", alpha=\"0.02\", expect_size=\"20648960\"] \n  5 -> 6 [size =\"20648960\"]\n  6 [size=\"25569280\", alpha=\"0.11\", expect_size=\"10227712\"] \n  6 -> 7 [size =\"10227712\"]\n  7 [size=\"104550400\", alpha=\"0.08\", expect_size=\"41820160\"] \n  7 -> 8 [size =\"41820160\"]\n  8 [size=\"13516800\", alpha=\"0.18\", expect_size=\"5406720\"] \n  8 -> 9 [size =\"5406720\"]\n  9 [size=\"111669760\", alpha=\"0.04\", expect_size=\"44667904\"] \n  9 -> 10 [size =\"44667904\"]\n  10 [size=\"95019520\", alpha=\"0.03\", expect_size=\"38007808\"] \n  10 -> 11 [size =\"38007808\"]\n  11 [size=\"21800960\", alpha=\"0.01\", expect_size=\"8720384\"] \n  11 -> 12 [size =\"8720384\"]\n  12 [size=\"30786560\", alpha=\"0.06\", expect_size=\"12314624\"] \n  12 -> 13 [size =\"12314624\"]\n  13 [size=\"54187520\", alpha=\"0.02\", expect_size=\"21675008\"] \n  13 -> 14 [size =\"21675008\"]\n  14 [size=\"89198080\", alpha=\"0.16\", expect_size=\"35679232\"] \n  14 -> 15 [size =\"35679232\"]\n  15 [size=\"125409280\", alpha=\"0.13\", expect_size=\"50163712\"] \n  15 -> 16 [size =\"50163712\"]\n  16 [size=\"16373760\", alpha=\"0.14\", expect_size=\"6549504\"] \n  16 -> 17 [size =\"6549504\"]\n  17 [size=\"79779840\", alpha=\"0.06\", expect_size=\"31911936\"] \n  17 -> 18 [size =\"31911936\"]\n  18 [size=\"129093120\", alpha=\"0.09\", expect_size=\"51637248\"] \n  18 -> 19 [size =\"51637248\"]\n  19 [size=\"117731840\", alpha=\"0.06\", expect_size=\"47092736\"] \n  19 -> 20 [size =\"47092736\"]\n  20 [size=\"23257600\", alpha=\"0.02\", expect_size=\"9303040\"] \n  20 -> 21 [size =\"9303040\"]\n  21 [size=\"40980480\", alpha=\"0.10\", expect_size=\"16392192\"] \n  21 -> 22 [size =\"16392192\"]\n  22 [size=\"44544000\", alpha=\"0.08\", expect_size=\"17817600\"] \n  22 -> 23 [size =\"17817600\"]\n  23 [size=\"78497280\", alpha=\"0.01\", expect_size=\"31398912\"] \n  23 -> 24 [size =\"31398912\"]\n  24 [size=\"90647040\", alpha=\"0.19\", expect_size=\"36258816\"] \n  24 -> 25 [size =\"36258816\"]\n  25 [size=\"66170880\", alpha=\"0.04\", expect_size=\"26468352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14420480\", alpha=\"0.11\", expect_size=\"5768192\"] \n  1 -> 2 [size =\"5768192\"]\n  2 [size=\"64650240\", alpha=\"0.17\", expect_size=\"25860096\"] \n  2 -> 3 [size =\"25860096\"]\n  2 -> 4 [size =\"25860096\"]\n  3 [size=\"94492160\", alpha=\"0.01\", expect_size=\"37796864\"] \n  3 -> 5 [size =\"37796864\"]\n  4 [size=\"48017920\", alpha=\"0.14\", expect_size=\"19207168\"] \n  5 [size=\"117112320\", alpha=\"0.03\", expect_size=\"46844928\"] \n  5 -> 6 [size =\"46844928\"]\n  6 [size=\"44416000\", alpha=\"0.06\", expect_size=\"17766400\"] \n  6 -> 7 [size =\"17766400\"]\n  6 -> 8 [size =\"17766400\"]\n  7 [size=\"73024000\", alpha=\"0.02\", expect_size=\"29209600\"] \n  7 -> 9 [size =\"29209600\"]\n  7 -> 10 [size =\"29209600\"]\n  8 [size=\"104258560\", alpha=\"0.11\", expect_size=\"41703424\"] \n  8 -> 9 [size =\"41703424\"]\n  9 [size=\"127774720\", alpha=\"0.10\", expect_size=\"51109888\"] \n  9 -> 11 [size =\"51109888\"]\n  10 [size=\"88407040\", alpha=\"0.03\", expect_size=\"35362816\"] \n  11 [size=\"75443200\", alpha=\"0.17\", expect_size=\"30177280\"] \n  11 -> 12 [size =\"30177280\"]\n  12 [size=\"23242240\", alpha=\"0.17\", expect_size=\"9296896\"] \n  12 -> 13 [size =\"9296896\"]\n  13 [size=\"121845760\", alpha=\"0.03\", expect_size=\"48738304\"] \n  13 -> 14 [size =\"48738304\"]\n  14 [size=\"129213440\", alpha=\"0.13\", expect_size=\"51685376\"] \n  14 -> 15 [size =\"51685376\"]\n  14 -> 16 [size =\"51685376\"]\n  15 [size=\"93880320\", alpha=\"0.01\", expect_size=\"37552128\"] \n  15 -> 17 [size =\"37552128\"]\n  16 [size=\"111262720\", alpha=\"0.04\", expect_size=\"44505088\"] \n  16 -> 17 [size =\"44505088\"]\n  16 -> 18 [size =\"44505088\"]\n  17 [size=\"28492800\", alpha=\"0.05\", expect_size=\"11397120\"] \n  17 -> 20 [size =\"11397120\"]\n  18 [size=\"39257600\", alpha=\"0.14\", expect_size=\"15703040\"] \n  18 -> 19 [size =\"15703040\"]\n  18 -> 20 [size =\"15703040\"]\n  19 [size=\"102837760\", alpha=\"0.19\", expect_size=\"41135104\"] \n  20 [size=\"45025280\", alpha=\"0.01\", expect_size=\"18010112\"] \n  20 -> 21 [size =\"18010112\"]\n  20 -> 22 [size =\"18010112\"]\n  21 [size=\"63400960\", alpha=\"0.03\", expect_size=\"25360384\"] \n  21 -> 23 [size =\"25360384\"]\n  21 -> 24 [size =\"25360384\"]\n  22 [size=\"48299520\", alpha=\"0.14\", expect_size=\"19319808\"] \n  23 [size=\"28986880\", alpha=\"0.19\", expect_size=\"11594752\"] \n  24 [size=\"49144320\", alpha=\"0.09\", expect_size=\"19657728\"] \n  24 -> 25 [size =\"19657728\"]\n  25 [size=\"123816960\", alpha=\"0.18\", expect_size=\"49526784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113472853\", alpha=\"0.12\", expect_size=\"34041856\"] \n  1 -> 3 [size =\"34041856\"]\n  2 [size=\"108987733\", alpha=\"0.09\", expect_size=\"32696320\"] \n  2 -> 4 [size =\"32696320\"]\n  3 [size=\"143991467\", alpha=\"0.04\", expect_size=\"43197440\"] \n  4 [size=\"74949973\", alpha=\"0.10\", expect_size=\"22484992\"] \n  4 -> 5 [size =\"22484992\"]\n  5 [size=\"44253867\", alpha=\"0.05\", expect_size=\"13276160\"] \n  5 -> 6 [size =\"13276160\"]\n  6 [size=\"92924587\", alpha=\"0.07\", expect_size=\"27877376\"] \n  6 -> 7 [size =\"27877376\"]\n  7 [size=\"154880000\", alpha=\"0.04\", expect_size=\"46464000\"] \n  7 -> 8 [size =\"46464000\"]\n  8 [size=\"74857813\", alpha=\"0.08\", expect_size=\"22457344\"] \n  8 -> 9 [size =\"22457344\"]\n  9 [size=\"170803200\", alpha=\"0.04\", expect_size=\"51240960\"] \n  9 -> 10 [size =\"51240960\"]\n  9 -> 11 [size =\"51240960\"]\n  10 [size=\"146868907\", alpha=\"0.19\", expect_size=\"44060672\"] \n  10 -> 12 [size =\"44060672\"]\n  11 [size=\"153760427\", alpha=\"0.17\", expect_size=\"46128128\"] \n  11 -> 12 [size =\"46128128\"]\n  12 [size=\"88722773\", alpha=\"0.02\", expect_size=\"26616832\"] \n  12 -> 13 [size =\"26616832\"]\n  13 [size=\"157579947\", alpha=\"0.12\", expect_size=\"47273984\"] \n  13 -> 14 [size =\"47273984\"]\n  14 [size=\"35225600\", alpha=\"0.10\", expect_size=\"10567680\"] \n  14 -> 15 [size =\"10567680\"]\n  14 -> 16 [size =\"10567680\"]\n  15 [size=\"116575573\", alpha=\"0.02\", expect_size=\"34972672\"] \n  16 [size=\"152535040\", alpha=\"0.19\", expect_size=\"45760512\"] \n  16 -> 17 [size =\"45760512\"]\n  17 [size=\"48902827\", alpha=\"0.16\", expect_size=\"14670848\"] \n  17 -> 18 [size =\"14670848\"]\n  17 -> 19 [size =\"14670848\"]\n  18 [size=\"80107520\", alpha=\"0.16\", expect_size=\"24032256\"] \n  18 -> 21 [size =\"24032256\"]\n  19 [size=\"146121387\", alpha=\"0.02\", expect_size=\"43836416\"] \n  19 -> 20 [size =\"43836416\"]\n  20 [size=\"19251200\", alpha=\"0.09\", expect_size=\"5775360\"] \n  21 [size=\"168915627\", alpha=\"0.08\", expect_size=\"50674688\"] \n  21 -> 22 [size =\"50674688\"]\n  22 [size=\"143564800\", alpha=\"0.19\", expect_size=\"43069440\"] \n  22 -> 23 [size =\"43069440\"]\n  22 -> 24 [size =\"43069440\"]\n  23 [size=\"157405867\", alpha=\"0.06\", expect_size=\"47221760\"] \n  24 [size=\"97419947\", alpha=\"0.20\", expect_size=\"29225984\"] \n  24 -> 25 [size =\"29225984\"]\n  25 [size=\"21288960\", alpha=\"0.18\", expect_size=\"6386688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51193856\", alpha=\"0.17\", expect_size=\"25596928\"] \n  1 -> 11 [size =\"25596928\"]\n  2 [size=\"32835584\", alpha=\"0.02\", expect_size=\"16417792\"] \n  2 -> 9 [size =\"16417792\"]\n  2 -> 14 [size =\"16417792\"]\n  3 [size=\"37488640\", alpha=\"0.19\", expect_size=\"18744320\"] \n  3 -> 9 [size =\"18744320\"]\n  3 -> 11 [size =\"18744320\"]\n  3 -> 13 [size =\"18744320\"]\n  4 [size=\"64827392\", alpha=\"0.07\", expect_size=\"32413696\"] \n  4 -> 12 [size =\"32413696\"]\n  4 -> 13 [size =\"32413696\"]\n  4 -> 13 [size =\"32413696\"]\n  5 [size=\"103340032\", alpha=\"0.11\", expect_size=\"51670016\"] \n  5 -> 9 [size =\"51670016\"]\n  5 -> 10 [size =\"51670016\"]\n  5 -> 12 [size =\"51670016\"]\n  5 -> 13 [size =\"51670016\"]\n  6 [size=\"56604672\", alpha=\"0.15\", expect_size=\"28302336\"] \n  6 -> 9 [size =\"28302336\"]\n  6 -> 10 [size =\"28302336\"]\n  6 -> 11 [size =\"28302336\"]\n  6 -> 12 [size =\"28302336\"]\n  6 -> 13 [size =\"28302336\"]\n  7 [size=\"74743808\", alpha=\"0.14\", expect_size=\"37371904\"] \n  7 -> 9 [size =\"37371904\"]\n  7 -> 10 [size =\"37371904\"]\n  7 -> 12 [size =\"37371904\"]\n  7 -> 13 [size =\"37371904\"]\n  8 [size=\"34334720\", alpha=\"0.03\", expect_size=\"17167360\"] \n  8 -> 9 [size =\"17167360\"]\n  8 -> 11 [size =\"17167360\"]\n  9 [size=\"80695296\", alpha=\"0.03\", expect_size=\"40347648\"] \n  9 -> 16 [size =\"40347648\"]\n  9 -> 18 [size =\"40347648\"]\n  9 -> 19 [size =\"40347648\"]\n  9 -> 23 [size =\"40347648\"]\n  9 -> 24 [size =\"40347648\"]\n  10 [size=\"47108096\", alpha=\"0.04\", expect_size=\"23554048\"] \n  10 -> 15 [size =\"23554048\"]\n  10 -> 16 [size =\"23554048\"]\n  10 -> 19 [size =\"23554048\"]\n  10 -> 22 [size =\"23554048\"]\n  10 -> 24 [size =\"23554048\"]\n  11 [size=\"38877184\", alpha=\"0.03\", expect_size=\"19438592\"] \n  11 -> 18 [size =\"19438592\"]\n  11 -> 21 [size =\"19438592\"]\n  11 -> 22 [size =\"19438592\"]\n  11 -> 23 [size =\"19438592\"]\n  12 [size=\"23160832\", alpha=\"0.02\", expect_size=\"11580416\"] \n  12 -> 17 [size =\"11580416\"]\n  12 -> 18 [size =\"11580416\"]\n  12 -> 20 [size =\"11580416\"]\n  12 -> 22 [size =\"11580416\"]\n  12 -> 24 [size =\"11580416\"]\n  12 -> 25 [size =\"11580416\"]\n  13 [size=\"32600064\", alpha=\"0.07\", expect_size=\"16300032\"] \n  13 -> 17 [size =\"16300032\"]\n  13 -> 20 [size =\"16300032\"]\n  13 -> 23 [size =\"16300032\"]\n  13 -> 24 [size =\"16300032\"]\n  14 [size=\"26140672\", alpha=\"0.04\", expect_size=\"13070336\"] \n  14 -> 15 [size =\"13070336\"]\n  14 -> 20 [size =\"13070336\"]\n  14 -> 22 [size =\"13070336\"]\n  14 -> 23 [size =\"13070336\"]\n  15 [size=\"57161728\", alpha=\"0.17\", expect_size=\"28580864\"] \n  16 [size=\"16582656\", alpha=\"0.01\", expect_size=\"8291328\"] \n  17 [size=\"85360640\", alpha=\"0.14\", expect_size=\"42680320\"] \n  18 [size=\"54933504\", alpha=\"0.04\", expect_size=\"27466752\"] \n  19 [size=\"68059136\", alpha=\"0.05\", expect_size=\"34029568\"] \n  20 [size=\"81477632\", alpha=\"0.14\", expect_size=\"40738816\"] \n  21 [size=\"98416640\", alpha=\"0.12\", expect_size=\"49208320\"] \n  22 [size=\"19105792\", alpha=\"0.14\", expect_size=\"9552896\"] \n  23 [size=\"29120512\", alpha=\"0.03\", expect_size=\"14560256\"] \n  24 [size=\"61702144\", alpha=\"0.02\", expect_size=\"30851072\"] \n  25 [size=\"82536448\", alpha=\"0.02\", expect_size=\"41268224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43235328\", alpha=\"0.19\", expect_size=\"21617664\"] \n  1 -> 9 [size =\"21617664\"]\n  1 -> 10 [size =\"21617664\"]\n  1 -> 12 [size =\"21617664\"]\n  1 -> 13 [size =\"21617664\"]\n  1 -> 13 [size =\"21617664\"]\n  2 [size=\"61007872\", alpha=\"0.09\", expect_size=\"30503936\"] \n  2 -> 8 [size =\"30503936\"]\n  2 -> 9 [size =\"30503936\"]\n  2 -> 10 [size =\"30503936\"]\n  2 -> 11 [size =\"30503936\"]\n  2 -> 13 [size =\"30503936\"]\n  3 [size=\"81899520\", alpha=\"0.18\", expect_size=\"40949760\"] \n  3 -> 7 [size =\"40949760\"]\n  3 -> 8 [size =\"40949760\"]\n  3 -> 10 [size =\"40949760\"]\n  4 [size=\"55574528\", alpha=\"0.08\", expect_size=\"27787264\"] \n  4 -> 8 [size =\"27787264\"]\n  4 -> 9 [size =\"27787264\"]\n  4 -> 10 [size =\"27787264\"]\n  4 -> 13 [size =\"27787264\"]\n  4 -> 14 [size =\"27787264\"]\n  5 [size=\"55879680\", alpha=\"0.08\", expect_size=\"27939840\"] \n  5 -> 7 [size =\"27939840\"]\n  5 -> 9 [size =\"27939840\"]\n  5 -> 10 [size =\"27939840\"]\n  5 -> 11 [size =\"27939840\"]\n  5 -> 12 [size =\"27939840\"]\n  6 [size=\"60542976\", alpha=\"0.06\", expect_size=\"30271488\"] \n  6 -> 7 [size =\"30271488\"]\n  6 -> 9 [size =\"30271488\"]\n  6 -> 11 [size =\"30271488\"]\n  6 -> 12 [size =\"30271488\"]\n  6 -> 13 [size =\"30271488\"]\n  7 [size=\"62906368\", alpha=\"0.14\", expect_size=\"31453184\"] \n  7 -> 19 [size =\"31453184\"]\n  7 -> 20 [size =\"31453184\"]\n  8 [size=\"99393536\", alpha=\"0.13\", expect_size=\"49696768\"] \n  8 -> 16 [size =\"49696768\"]\n  8 -> 18 [size =\"49696768\"]\n  8 -> 19 [size =\"49696768\"]\n  8 -> 20 [size =\"49696768\"]\n  9 [size=\"35100672\", alpha=\"0.03\", expect_size=\"17550336\"] \n  9 -> 19 [size =\"17550336\"]\n  9 -> 20 [size =\"17550336\"]\n  10 [size=\"44423168\", alpha=\"0.03\", expect_size=\"22211584\"] \n  10 -> 16 [size =\"22211584\"]\n  10 -> 19 [size =\"22211584\"]\n  10 -> 20 [size =\"22211584\"]\n  11 [size=\"98568192\", alpha=\"0.19\", expect_size=\"49284096\"] \n  11 -> 16 [size =\"49284096\"]\n  12 [size=\"94955520\", alpha=\"0.03\", expect_size=\"47477760\"] \n  12 -> 15 [size =\"47477760\"]\n  12 -> 16 [size =\"47477760\"]\n  12 -> 19 [size =\"47477760\"]\n  12 -> 20 [size =\"47477760\"]\n  13 [size=\"43913216\", alpha=\"0.08\", expect_size=\"21956608\"] \n  13 -> 16 [size =\"21956608\"]\n  13 -> 17 [size =\"21956608\"]\n  13 -> 19 [size =\"21956608\"]\n  13 -> 20 [size =\"21956608\"]\n  14 [size=\"32882688\", alpha=\"0.04\", expect_size=\"16441344\"] \n  14 -> 15 [size =\"16441344\"]\n  14 -> 20 [size =\"16441344\"]\n  15 [size=\"71483392\", alpha=\"0.16\", expect_size=\"35741696\"] \n  15 -> 24 [size =\"35741696\"]\n  15 -> 25 [size =\"35741696\"]\n  15 -> 25 [size =\"35741696\"]\n  16 [size=\"13195264\", alpha=\"0.04\", expect_size=\"6597632\"] \n  16 -> 22 [size =\"6597632\"]\n  16 -> 24 [size =\"6597632\"]\n  17 [size=\"41338880\", alpha=\"0.12\", expect_size=\"20669440\"] \n  17 -> 22 [size =\"20669440\"]\n  17 -> 25 [size =\"20669440\"]\n  18 [size=\"15153152\", alpha=\"0.03\", expect_size=\"7576576\"] \n  18 -> 21 [size =\"7576576\"]\n  18 -> 22 [size =\"7576576\"]\n  18 -> 25 [size =\"7576576\"]\n  19 [size=\"76265472\", alpha=\"0.19\", expect_size=\"38132736\"] \n  19 -> 22 [size =\"38132736\"]\n  19 -> 22 [size =\"38132736\"]\n  19 -> 23 [size =\"38132736\"]\n  19 -> 24 [size =\"38132736\"]\n  19 -> 25 [size =\"38132736\"]\n  20 [size=\"88989696\", alpha=\"0.02\", expect_size=\"44494848\"] \n  20 -> 23 [size =\"44494848\"]\n  20 -> 24 [size =\"44494848\"]\n  20 -> 25 [size =\"44494848\"]\n  21 [size=\"103624704\", alpha=\"0.11\", expect_size=\"51812352\"] \n  22 [size=\"97259520\", alpha=\"0.11\", expect_size=\"48629760\"] \n  23 [size=\"16658432\", alpha=\"0.07\", expect_size=\"8329216\"] \n  24 [size=\"54751232\", alpha=\"0.12\", expect_size=\"27375616\"] \n  25 [size=\"75311104\", alpha=\"0.06\", expect_size=\"37655552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115073707\", alpha=\"0.02\", expect_size=\"34522112\"] \n  1 -> 7 [size =\"34522112\"]\n  2 [size=\"138571093\", alpha=\"0.04\", expect_size=\"41571328\"] \n  2 -> 5 [size =\"41571328\"]\n  2 -> 6 [size =\"41571328\"]\n  3 [size=\"107840853\", alpha=\"0.16\", expect_size=\"32352256\"] \n  3 -> 5 [size =\"32352256\"]\n  4 [size=\"70352213\", alpha=\"0.05\", expect_size=\"21105664\"] \n  4 -> 5 [size =\"21105664\"]\n  4 -> 6 [size =\"21105664\"]\n  4 -> 7 [size =\"21105664\"]\n  5 [size=\"150316373\", alpha=\"0.18\", expect_size=\"45094912\"] \n  5 -> 8 [size =\"45094912\"]\n  6 [size=\"88214187\", alpha=\"0.03\", expect_size=\"26464256\"] \n  6 -> 8 [size =\"26464256\"]\n  6 -> 9 [size =\"26464256\"]\n  7 [size=\"78363307\", alpha=\"0.10\", expect_size=\"23508992\"] \n  7 -> 10 [size =\"23508992\"]\n  8 [size=\"85036373\", alpha=\"0.07\", expect_size=\"25510912\"] \n  8 -> 11 [size =\"25510912\"]\n  8 -> 13 [size =\"25510912\"]\n  9 [size=\"55483733\", alpha=\"0.09\", expect_size=\"16645120\"] \n  9 -> 11 [size =\"16645120\"]\n  10 [size=\"88470187\", alpha=\"0.04\", expect_size=\"26541056\"] \n  10 -> 12 [size =\"26541056\"]\n  10 -> 13 [size =\"26541056\"]\n  11 [size=\"37915307\", alpha=\"0.20\", expect_size=\"11374592\"] \n  11 -> 15 [size =\"11374592\"]\n  12 [size=\"57128960\", alpha=\"0.01\", expect_size=\"17138688\"] \n  12 -> 16 [size =\"17138688\"]\n  12 -> 17 [size =\"17138688\"]\n  13 [size=\"85121707\", alpha=\"0.17\", expect_size=\"25536512\"] \n  13 -> 14 [size =\"25536512\"]\n  13 -> 15 [size =\"25536512\"]\n  13 -> 16 [size =\"25536512\"]\n  13 -> 17 [size =\"25536512\"]\n  14 [size=\"56627200\", alpha=\"0.09\", expect_size=\"16988160\"] \n  14 -> 18 [size =\"16988160\"]\n  14 -> 19 [size =\"16988160\"]\n  14 -> 21 [size =\"16988160\"]\n  15 [size=\"97105920\", alpha=\"0.10\", expect_size=\"29131776\"] \n  15 -> 18 [size =\"29131776\"]\n  15 -> 21 [size =\"29131776\"]\n  16 [size=\"80244053\", alpha=\"0.13\", expect_size=\"24073216\"] \n  17 [size=\"106181973\", alpha=\"0.12\", expect_size=\"31854592\"] \n  17 -> 18 [size =\"31854592\"]\n  17 -> 19 [size =\"31854592\"]\n  17 -> 20 [size =\"31854592\"]\n  18 [size=\"30405973\", alpha=\"0.09\", expect_size=\"9121792\"] \n  18 -> 25 [size =\"9121792\"]\n  19 [size=\"84241067\", alpha=\"0.10\", expect_size=\"25272320\"] \n  19 -> 22 [size =\"25272320\"]\n  20 [size=\"157023573\", alpha=\"0.06\", expect_size=\"47107072\"] \n  20 -> 22 [size =\"47107072\"]\n  20 -> 24 [size =\"47107072\"]\n  21 [size=\"27385173\", alpha=\"0.14\", expect_size=\"8215552\"] \n  21 -> 23 [size =\"8215552\"]\n  22 [size=\"26289493\", alpha=\"0.17\", expect_size=\"7886848\"] \n  23 [size=\"36696747\", alpha=\"0.12\", expect_size=\"11009024\"] \n  24 [size=\"170984107\", alpha=\"0.13\", expect_size=\"51295232\"] \n  25 [size=\"87848960\", alpha=\"0.12\", expect_size=\"26354688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113487360\", alpha=\"0.03\", expect_size=\"45394944\"] \n  1 -> 14 [size =\"45394944\"]\n  1 -> 15 [size =\"45394944\"]\n  1 -> 17 [size =\"45394944\"]\n  1 -> 18 [size =\"45394944\"]\n  1 -> 20 [size =\"45394944\"]\n  1 -> 21 [size =\"45394944\"]\n  1 -> 23 [size =\"45394944\"]\n  2 [size=\"60505600\", alpha=\"0.19\", expect_size=\"24202240\"] \n  2 -> 16 [size =\"24202240\"]\n  2 -> 18 [size =\"24202240\"]\n  2 -> 20 [size =\"24202240\"]\n  2 -> 21 [size =\"24202240\"]\n  2 -> 23 [size =\"24202240\"]\n  3 [size=\"106641920\", alpha=\"0.18\", expect_size=\"42656768\"] \n  3 -> 20 [size =\"42656768\"]\n  3 -> 21 [size =\"42656768\"]\n  4 [size=\"70005760\", alpha=\"0.15\", expect_size=\"28002304\"] \n  4 -> 21 [size =\"28002304\"]\n  4 -> 24 [size =\"28002304\"]\n  5 [size=\"100428800\", alpha=\"0.03\", expect_size=\"40171520\"] \n  5 -> 14 [size =\"40171520\"]\n  5 -> 19 [size =\"40171520\"]\n  5 -> 21 [size =\"40171520\"]\n  5 -> 24 [size =\"40171520\"]\n  6 [size=\"30389760\", alpha=\"0.13\", expect_size=\"12155904\"] \n  6 -> 22 [size =\"12155904\"]\n  7 [size=\"13655040\", alpha=\"0.08\", expect_size=\"5462016\"] \n  7 -> 13 [size =\"5462016\"]\n  7 -> 15 [size =\"5462016\"]\n  7 -> 18 [size =\"5462016\"]\n  7 -> 20 [size =\"5462016\"]\n  7 -> 22 [size =\"5462016\"]\n  7 -> 24 [size =\"5462016\"]\n  8 [size=\"28241920\", alpha=\"0.18\", expect_size=\"11296768\"] \n  8 -> 13 [size =\"11296768\"]\n  8 -> 15 [size =\"11296768\"]\n  8 -> 16 [size =\"11296768\"]\n  8 -> 17 [size =\"11296768\"]\n  8 -> 20 [size =\"11296768\"]\n  8 -> 24 [size =\"11296768\"]\n  9 [size=\"61990400\", alpha=\"0.00\", expect_size=\"24796160\"] \n  9 -> 13 [size =\"24796160\"]\n  9 -> 14 [size =\"24796160\"]\n  9 -> 15 [size =\"24796160\"]\n  9 -> 16 [size =\"24796160\"]\n  9 -> 18 [size =\"24796160\"]\n  9 -> 20 [size =\"24796160\"]\n  9 -> 21 [size =\"24796160\"]\n  9 -> 24 [size =\"24796160\"]\n  10 [size=\"81602560\", alpha=\"0.00\", expect_size=\"32641024\"] \n  10 -> 14 [size =\"32641024\"]\n  10 -> 15 [size =\"32641024\"]\n  10 -> 22 [size =\"32641024\"]\n  10 -> 24 [size =\"32641024\"]\n  11 [size=\"108395520\", alpha=\"0.12\", expect_size=\"43358208\"] \n  11 -> 14 [size =\"43358208\"]\n  11 -> 15 [size =\"43358208\"]\n  11 -> 20 [size =\"43358208\"]\n  11 -> 24 [size =\"43358208\"]\n  12 [size=\"126837760\", alpha=\"0.06\", expect_size=\"50735104\"] \n  12 -> 13 [size =\"50735104\"]\n  12 -> 14 [size =\"50735104\"]\n  12 -> 18 [size =\"50735104\"]\n  12 -> 21 [size =\"50735104\"]\n  13 [size=\"118607360\", alpha=\"0.12\", expect_size=\"47442944\"] \n  14 [size=\"106739200\", alpha=\"0.16\", expect_size=\"42695680\"] \n  15 [size=\"80051200\", alpha=\"0.20\", expect_size=\"32020480\"] \n  15 -> 25 [size =\"32020480\"]\n  16 [size=\"97720320\", alpha=\"0.13\", expect_size=\"39088128\"] \n  16 -> 25 [size =\"39088128\"]\n  17 [size=\"57090560\", alpha=\"0.00\", expect_size=\"22836224\"] \n  18 [size=\"103690240\", alpha=\"0.17\", expect_size=\"41476096\"] \n  19 [size=\"90257920\", alpha=\"0.20\", expect_size=\"36103168\"] \n  20 [size=\"91548160\", alpha=\"0.03\", expect_size=\"36619264\"] \n  21 [size=\"94315520\", alpha=\"0.03\", expect_size=\"37726208\"] \n  22 [size=\"47592960\", alpha=\"0.11\", expect_size=\"19037184\"] \n  23 [size=\"84897280\", alpha=\"0.15\", expect_size=\"33958912\"] \n  24 [size=\"38551040\", alpha=\"0.08\", expect_size=\"15420416\"] \n  25 [size=\"13493760\", alpha=\"0.17\", expect_size=\"5397504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108687360\", alpha=\"0.06\", expect_size=\"43474944\"] \n  1 -> 2 [size =\"43474944\"]\n  2 [size=\"49249280\", alpha=\"0.06\", expect_size=\"19699712\"] \n  2 -> 3 [size =\"19699712\"]\n  3 [size=\"19358720\", alpha=\"0.03\", expect_size=\"7743488\"] \n  3 -> 4 [size =\"7743488\"]\n  4 [size=\"77335040\", alpha=\"0.15\", expect_size=\"30934016\"] \n  4 -> 5 [size =\"30934016\"]\n  5 [size=\"33034240\", alpha=\"0.16\", expect_size=\"13213696\"] \n  5 -> 6 [size =\"13213696\"]\n  6 [size=\"87680000\", alpha=\"0.01\", expect_size=\"35072000\"] \n  6 -> 7 [size =\"35072000\"]\n  7 [size=\"62494720\", alpha=\"0.16\", expect_size=\"24997888\"] \n  7 -> 8 [size =\"24997888\"]\n  8 [size=\"22599680\", alpha=\"0.20\", expect_size=\"9039872\"] \n  8 -> 9 [size =\"9039872\"]\n  9 [size=\"26877440\", alpha=\"0.16\", expect_size=\"10750976\"] \n  9 -> 10 [size =\"10750976\"]\n  10 [size=\"40768000\", alpha=\"0.19\", expect_size=\"16307200\"] \n  10 -> 11 [size =\"16307200\"]\n  11 [size=\"51837440\", alpha=\"0.05\", expect_size=\"20734976\"] \n  11 -> 12 [size =\"20734976\"]\n  12 [size=\"88849920\", alpha=\"0.18\", expect_size=\"35539968\"] \n  12 -> 13 [size =\"35539968\"]\n  13 [size=\"127022080\", alpha=\"0.08\", expect_size=\"50808832\"] \n  13 -> 14 [size =\"50808832\"]\n  14 [size=\"27814400\", alpha=\"0.07\", expect_size=\"11125760\"] \n  14 -> 15 [size =\"11125760\"]\n  15 [size=\"117544960\", alpha=\"0.02\", expect_size=\"47017984\"] \n  15 -> 16 [size =\"47017984\"]\n  16 [size=\"94694400\", alpha=\"0.13\", expect_size=\"37877760\"] \n  16 -> 17 [size =\"37877760\"]\n  17 [size=\"98790400\", alpha=\"0.10\", expect_size=\"39516160\"] \n  17 -> 18 [size =\"39516160\"]\n  18 [size=\"74951680\", alpha=\"0.08\", expect_size=\"29980672\"] \n  18 -> 19 [size =\"29980672\"]\n  19 [size=\"73000960\", alpha=\"0.06\", expect_size=\"29200384\"] \n  19 -> 20 [size =\"29200384\"]\n  20 [size=\"48486400\", alpha=\"0.19\", expect_size=\"19394560\"] \n  20 -> 21 [size =\"19394560\"]\n  21 [size=\"41303040\", alpha=\"0.09\", expect_size=\"16521216\"] \n  21 -> 22 [size =\"16521216\"]\n  22 [size=\"71472640\", alpha=\"0.05\", expect_size=\"28589056\"] \n  22 -> 23 [size =\"28589056\"]\n  23 [size=\"60472320\", alpha=\"0.02\", expect_size=\"24188928\"] \n  23 -> 24 [size =\"24188928\"]\n  24 [size=\"107404800\", alpha=\"0.09\", expect_size=\"42961920\"] \n  24 -> 25 [size =\"42961920\"]\n  25 [size=\"29429760\", alpha=\"0.00\", expect_size=\"11771904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47435776\", alpha=\"0.03\", expect_size=\"23717888\"] \n  2 [size=\"41398272\", alpha=\"0.02\", expect_size=\"20699136\"] \n  2 -> 5 [size =\"20699136\"]\n  2 -> 6 [size =\"20699136\"]\n  3 [size=\"94097408\", alpha=\"0.12\", expect_size=\"47048704\"] \n  3 -> 5 [size =\"47048704\"]\n  3 -> 6 [size =\"47048704\"]\n  4 [size=\"50745344\", alpha=\"0.18\", expect_size=\"25372672\"] \n  4 -> 6 [size =\"25372672\"]\n  4 -> 6 [size =\"25372672\"]\n  4 -> 7 [size =\"25372672\"]\n  5 [size=\"87527424\", alpha=\"0.14\", expect_size=\"43763712\"] \n  5 -> 8 [size =\"43763712\"]\n  5 -> 9 [size =\"43763712\"]\n  5 -> 11 [size =\"43763712\"]\n  6 [size=\"73461760\", alpha=\"0.01\", expect_size=\"36730880\"] \n  6 -> 8 [size =\"36730880\"]\n  7 [size=\"35358720\", alpha=\"0.14\", expect_size=\"17679360\"] \n  7 -> 8 [size =\"17679360\"]\n  7 -> 10 [size =\"17679360\"]\n  8 [size=\"56272896\", alpha=\"0.11\", expect_size=\"28136448\"] \n  8 -> 12 [size =\"28136448\"]\n  8 -> 13 [size =\"28136448\"]\n  8 -> 15 [size =\"28136448\"]\n  9 [size=\"52695040\", alpha=\"0.10\", expect_size=\"26347520\"] \n  9 -> 13 [size =\"26347520\"]\n  9 -> 14 [size =\"26347520\"]\n  9 -> 15 [size =\"26347520\"]\n  10 [size=\"17784832\", alpha=\"0.00\", expect_size=\"8892416\"] \n  10 -> 12 [size =\"8892416\"]\n  10 -> 13 [size =\"8892416\"]\n  10 -> 14 [size =\"8892416\"]\n  11 [size=\"50290688\", alpha=\"0.13\", expect_size=\"25145344\"] \n  11 -> 12 [size =\"25145344\"]\n  11 -> 13 [size =\"25145344\"]\n  11 -> 14 [size =\"25145344\"]\n  11 -> 15 [size =\"25145344\"]\n  12 [size=\"62560256\", alpha=\"0.14\", expect_size=\"31280128\"] \n  12 -> 16 [size =\"31280128\"]\n  12 -> 17 [size =\"31280128\"]\n  12 -> 18 [size =\"31280128\"]\n  13 [size=\"70664192\", alpha=\"0.09\", expect_size=\"35332096\"] \n  13 -> 16 [size =\"35332096\"]\n  13 -> 18 [size =\"35332096\"]\n  14 [size=\"30740480\", alpha=\"0.13\", expect_size=\"15370240\"] \n  14 -> 16 [size =\"15370240\"]\n  14 -> 18 [size =\"15370240\"]\n  15 [size=\"22968320\", alpha=\"0.02\", expect_size=\"11484160\"] \n  15 -> 17 [size =\"11484160\"]\n  15 -> 18 [size =\"11484160\"]\n  16 [size=\"90906624\", alpha=\"0.20\", expect_size=\"45453312\"] \n  16 -> 19 [size =\"45453312\"]\n  16 -> 20 [size =\"45453312\"]\n  16 -> 22 [size =\"45453312\"]\n  17 [size=\"95172608\", alpha=\"0.14\", expect_size=\"47586304\"] \n  17 -> 20 [size =\"47586304\"]\n  17 -> 21 [size =\"47586304\"]\n  17 -> 22 [size =\"47586304\"]\n  18 [size=\"66392064\", alpha=\"0.20\", expect_size=\"33196032\"] \n  18 -> 19 [size =\"33196032\"]\n  18 -> 22 [size =\"33196032\"]\n  19 [size=\"23318528\", alpha=\"0.08\", expect_size=\"11659264\"] \n  19 -> 23 [size =\"11659264\"]\n  19 -> 24 [size =\"11659264\"]\n  19 -> 25 [size =\"11659264\"]\n  20 [size=\"68749312\", alpha=\"0.03\", expect_size=\"34374656\"] \n  20 -> 23 [size =\"34374656\"]\n  20 -> 25 [size =\"34374656\"]\n  21 [size=\"70754304\", alpha=\"0.06\", expect_size=\"35377152\"] \n  21 -> 23 [size =\"35377152\"]\n  21 -> 25 [size =\"35377152\"]\n  22 [size=\"39968768\", alpha=\"0.15\", expect_size=\"19984384\"] \n  22 -> 23 [size =\"19984384\"]\n  23 [size=\"13654016\", alpha=\"0.02\", expect_size=\"6827008\"] \n  24 [size=\"57237504\", alpha=\"0.18\", expect_size=\"28618752\"] \n  25 [size=\"26025984\", alpha=\"0.10\", expect_size=\"13012992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160040960\", alpha=\"0.10\", expect_size=\"48012288\"] \n  1 -> 19 [size =\"48012288\"]\n  1 -> 20 [size =\"48012288\"]\n  2 [size=\"41690453\", alpha=\"0.06\", expect_size=\"12507136\"] \n  2 -> 19 [size =\"12507136\"]\n  2 -> 20 [size =\"12507136\"]\n  2 -> 21 [size =\"12507136\"]\n  3 [size=\"59422720\", alpha=\"0.13\", expect_size=\"17826816\"] \n  3 -> 19 [size =\"17826816\"]\n  3 -> 20 [size =\"17826816\"]\n  3 -> 21 [size =\"17826816\"]\n  3 -> 24 [size =\"17826816\"]\n  4 [size=\"169362773\", alpha=\"0.19\", expect_size=\"50808832\"] \n  4 -> 19 [size =\"50808832\"]\n  4 -> 20 [size =\"50808832\"]\n  5 [size=\"60480853\", alpha=\"0.08\", expect_size=\"18144256\"] \n  5 -> 19 [size =\"18144256\"]\n  5 -> 20 [size =\"18144256\"]\n  6 [size=\"163420160\", alpha=\"0.05\", expect_size=\"49026048\"] \n  6 -> 19 [size =\"49026048\"]\n  6 -> 23 [size =\"49026048\"]\n  6 -> 25 [size =\"49026048\"]\n  7 [size=\"89852587\", alpha=\"0.10\", expect_size=\"26955776\"] \n  7 -> 19 [size =\"26955776\"]\n  7 -> 20 [size =\"26955776\"]\n  8 [size=\"150521173\", alpha=\"0.16\", expect_size=\"45156352\"] \n  8 -> 19 [size =\"45156352\"]\n  8 -> 20 [size =\"45156352\"]\n  8 -> 22 [size =\"45156352\"]\n  8 -> 25 [size =\"45156352\"]\n  9 [size=\"127047680\", alpha=\"0.20\", expect_size=\"38114304\"] \n  9 -> 19 [size =\"38114304\"]\n  9 -> 20 [size =\"38114304\"]\n  10 [size=\"147933867\", alpha=\"0.10\", expect_size=\"44380160\"] \n  10 -> 19 [size =\"44380160\"]\n  11 [size=\"138506240\", alpha=\"0.19\", expect_size=\"41551872\"] \n  11 -> 19 [size =\"41551872\"]\n  11 -> 20 [size =\"41551872\"]\n  11 -> 25 [size =\"41551872\"]\n  12 [size=\"58726400\", alpha=\"0.10\", expect_size=\"17617920\"] \n  12 -> 19 [size =\"17617920\"]\n  12 -> 20 [size =\"17617920\"]\n  13 [size=\"106557440\", alpha=\"0.13\", expect_size=\"31967232\"] \n  13 -> 20 [size =\"31967232\"]\n  14 [size=\"51193173\", alpha=\"0.09\", expect_size=\"15357952\"] \n  14 -> 19 [size =\"15357952\"]\n  14 -> 25 [size =\"15357952\"]\n  15 [size=\"44677120\", alpha=\"0.00\", expect_size=\"13403136\"] \n  15 -> 19 [size =\"13403136\"]\n  15 -> 20 [size =\"13403136\"]\n  15 -> 21 [size =\"13403136\"]\n  16 [size=\"107093333\", alpha=\"0.09\", expect_size=\"32128000\"] \n  16 -> 19 [size =\"32128000\"]\n  16 -> 20 [size =\"32128000\"]\n  16 -> 22 [size =\"32128000\"]\n  17 [size=\"143800320\", alpha=\"0.09\", expect_size=\"43140096\"] \n  17 -> 19 [size =\"43140096\"]\n  18 [size=\"64904533\", alpha=\"0.19\", expect_size=\"19471360\"] \n  18 -> 19 [size =\"19471360\"]\n  18 -> 20 [size =\"19471360\"]\n  18 -> 21 [size =\"19471360\"]\n  19 [size=\"34054827\", alpha=\"0.18\", expect_size=\"10216448\"] \n  20 [size=\"30904320\", alpha=\"0.20\", expect_size=\"9271296\"] \n  21 [size=\"109472427\", alpha=\"0.00\", expect_size=\"32841728\"] \n  22 [size=\"98795520\", alpha=\"0.04\", expect_size=\"29638656\"] \n  23 [size=\"20957867\", alpha=\"0.13\", expect_size=\"6287360\"] \n  24 [size=\"120016213\", alpha=\"0.01\", expect_size=\"36004864\"] \n  25 [size=\"32815787\", alpha=\"0.14\", expect_size=\"9844736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93890560\", alpha=\"0.01\", expect_size=\"37556224\"] \n  1 -> 8 [size =\"37556224\"]\n  1 -> 11 [size =\"37556224\"]\n  1 -> 12 [size =\"37556224\"]\n  1 -> 12 [size =\"37556224\"]\n  1 -> 13 [size =\"37556224\"]\n  1 -> 14 [size =\"37556224\"]\n  2 [size=\"70033920\", alpha=\"0.06\", expect_size=\"28013568\"] \n  2 -> 9 [size =\"28013568\"]\n  2 -> 11 [size =\"28013568\"]\n  2 -> 13 [size =\"28013568\"]\n  2 -> 14 [size =\"28013568\"]\n  3 [size=\"54128640\", alpha=\"0.08\", expect_size=\"21651456\"] \n  3 -> 8 [size =\"21651456\"]\n  3 -> 10 [size =\"21651456\"]\n  3 -> 12 [size =\"21651456\"]\n  3 -> 13 [size =\"21651456\"]\n  3 -> 14 [size =\"21651456\"]\n  3 -> 15 [size =\"21651456\"]\n  4 [size=\"71040000\", alpha=\"0.10\", expect_size=\"28416000\"] \n  4 -> 8 [size =\"28416000\"]\n  4 -> 10 [size =\"28416000\"]\n  4 -> 12 [size =\"28416000\"]\n  4 -> 14 [size =\"28416000\"]\n  4 -> 15 [size =\"28416000\"]\n  5 [size=\"47526400\", alpha=\"0.06\", expect_size=\"19010560\"] \n  5 -> 9 [size =\"19010560\"]\n  5 -> 10 [size =\"19010560\"]\n  6 [size=\"29913600\", alpha=\"0.17\", expect_size=\"11965440\"] \n  6 -> 8 [size =\"11965440\"]\n  6 -> 9 [size =\"11965440\"]\n  6 -> 10 [size =\"11965440\"]\n  6 -> 11 [size =\"11965440\"]\n  6 -> 13 [size =\"11965440\"]\n  7 [size=\"81049600\", alpha=\"0.00\", expect_size=\"32419840\"] \n  7 -> 8 [size =\"32419840\"]\n  7 -> 10 [size =\"32419840\"]\n  7 -> 11 [size =\"32419840\"]\n  7 -> 12 [size =\"32419840\"]\n  7 -> 13 [size =\"32419840\"]\n  7 -> 14 [size =\"32419840\"]\n  7 -> 15 [size =\"32419840\"]\n  8 [size=\"39746560\", alpha=\"0.12\", expect_size=\"15898624\"] \n  8 -> 19 [size =\"15898624\"]\n  8 -> 21 [size =\"15898624\"]\n  9 [size=\"33710080\", alpha=\"0.06\", expect_size=\"13484032\"] \n  9 -> 18 [size =\"13484032\"]\n  9 -> 21 [size =\"13484032\"]\n  10 [size=\"54904320\", alpha=\"0.16\", expect_size=\"21961728\"] \n  10 -> 21 [size =\"21961728\"]\n  10 -> 23 [size =\"21961728\"]\n  10 -> 24 [size =\"21961728\"]\n  11 [size=\"86901760\", alpha=\"0.16\", expect_size=\"34760704\"] \n  11 -> 19 [size =\"34760704\"]\n  11 -> 23 [size =\"34760704\"]\n  12 [size=\"94873600\", alpha=\"0.01\", expect_size=\"37949440\"] \n  12 -> 16 [size =\"37949440\"]\n  12 -> 17 [size =\"37949440\"]\n  12 -> 21 [size =\"37949440\"]\n  12 -> 23 [size =\"37949440\"]\n  13 [size=\"130334720\", alpha=\"0.09\", expect_size=\"52133888\"] \n  13 -> 16 [size =\"52133888\"]\n  13 -> 17 [size =\"52133888\"]\n  13 -> 21 [size =\"52133888\"]\n  13 -> 22 [size =\"52133888\"]\n  14 [size=\"58365440\", alpha=\"0.13\", expect_size=\"23346176\"] \n  14 -> 16 [size =\"23346176\"]\n  14 -> 20 [size =\"23346176\"]\n  15 [size=\"117094400\", alpha=\"0.18\", expect_size=\"46837760\"] \n  15 -> 16 [size =\"46837760\"]\n  15 -> 23 [size =\"46837760\"]\n  15 -> 24 [size =\"46837760\"]\n  16 [size=\"35225600\", alpha=\"0.10\", expect_size=\"14090240\"] \n  16 -> 25 [size =\"14090240\"]\n  17 [size=\"15242240\", alpha=\"0.02\", expect_size=\"6096896\"] \n  17 -> 25 [size =\"6096896\"]\n  18 [size=\"16058880\", alpha=\"0.05\", expect_size=\"6423552\"] \n  18 -> 25 [size =\"6423552\"]\n  19 [size=\"85529600\", alpha=\"0.03\", expect_size=\"34211840\"] \n  20 [size=\"118425600\", alpha=\"0.11\", expect_size=\"47370240\"] \n  21 [size=\"97464320\", alpha=\"0.12\", expect_size=\"38985728\"] \n  21 -> 25 [size =\"38985728\"]\n  22 [size=\"74365440\", alpha=\"0.04\", expect_size=\"29746176\"] \n  23 [size=\"82406400\", alpha=\"0.02\", expect_size=\"32962560\"] \n  24 [size=\"16335360\", alpha=\"0.09\", expect_size=\"6534144\"] \n  25 [size=\"94725120\", alpha=\"0.03\", expect_size=\"37890048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64071680\", alpha=\"0.09\", expect_size=\"32035840\"] \n  1 -> 5 [size =\"32035840\"]\n  1 -> 6 [size =\"32035840\"]\n  2 [size=\"44564480\", alpha=\"0.04\", expect_size=\"22282240\"] \n  2 -> 4 [size =\"22282240\"]\n  2 -> 6 [size =\"22282240\"]\n  3 [size=\"65994752\", alpha=\"0.18\", expect_size=\"32997376\"] \n  3 -> 6 [size =\"32997376\"]\n  4 [size=\"24408064\", alpha=\"0.14\", expect_size=\"12204032\"] \n  4 -> 7 [size =\"12204032\"]\n  4 -> 8 [size =\"12204032\"]\n  4 -> 10 [size =\"12204032\"]\n  5 [size=\"53661696\", alpha=\"0.19\", expect_size=\"26830848\"] \n  5 -> 8 [size =\"26830848\"]\n  6 [size=\"102172672\", alpha=\"0.09\", expect_size=\"51086336\"] \n  6 -> 7 [size =\"51086336\"]\n  6 -> 8 [size =\"51086336\"]\n  6 -> 9 [size =\"51086336\"]\n  7 [size=\"26789888\", alpha=\"0.19\", expect_size=\"13394944\"] \n  7 -> 12 [size =\"13394944\"]\n  7 -> 13 [size =\"13394944\"]\n  8 [size=\"90329088\", alpha=\"0.10\", expect_size=\"45164544\"] \n  8 -> 11 [size =\"45164544\"]\n  8 -> 13 [size =\"45164544\"]\n  8 -> 14 [size =\"45164544\"]\n  9 [size=\"33138688\", alpha=\"0.03\", expect_size=\"16569344\"] \n  9 -> 13 [size =\"16569344\"]\n  10 [size=\"24504320\", alpha=\"0.01\", expect_size=\"12252160\"] \n  11 [size=\"51501056\", alpha=\"0.19\", expect_size=\"25750528\"] \n  11 -> 15 [size =\"25750528\"]\n  11 -> 16 [size =\"25750528\"]\n  11 -> 18 [size =\"25750528\"]\n  12 [size=\"95442944\", alpha=\"0.02\", expect_size=\"47721472\"] \n  12 -> 15 [size =\"47721472\"]\n  12 -> 16 [size =\"47721472\"]\n  12 -> 18 [size =\"47721472\"]\n  13 [size=\"18743296\", alpha=\"0.06\", expect_size=\"9371648\"] \n  13 -> 18 [size =\"9371648\"]\n  14 [size=\"104687616\", alpha=\"0.11\", expect_size=\"52343808\"] \n  14 -> 15 [size =\"52343808\"]\n  14 -> 16 [size =\"52343808\"]\n  14 -> 17 [size =\"52343808\"]\n  15 [size=\"74928128\", alpha=\"0.06\", expect_size=\"37464064\"] \n  15 -> 21 [size =\"37464064\"]\n  16 [size=\"68286464\", alpha=\"0.13\", expect_size=\"34143232\"] \n  16 -> 19 [size =\"34143232\"]\n  16 -> 20 [size =\"34143232\"]\n  16 -> 22 [size =\"34143232\"]\n  16 -> 23 [size =\"34143232\"]\n  17 [size=\"16814080\", alpha=\"0.14\", expect_size=\"8407040\"] \n  17 -> 19 [size =\"8407040\"]\n  17 -> 23 [size =\"8407040\"]\n  18 [size=\"13584384\", alpha=\"0.14\", expect_size=\"6792192\"] \n  18 -> 20 [size =\"6792192\"]\n  18 -> 22 [size =\"6792192\"]\n  18 -> 23 [size =\"6792192\"]\n  19 [size=\"60162048\", alpha=\"0.00\", expect_size=\"30081024\"] \n  19 -> 24 [size =\"30081024\"]\n  20 [size=\"73218048\", alpha=\"0.18\", expect_size=\"36609024\"] \n  21 [size=\"78602240\", alpha=\"0.06\", expect_size=\"39301120\"] \n  21 -> 24 [size =\"39301120\"]\n  22 [size=\"71639040\", alpha=\"0.02\", expect_size=\"35819520\"] \n  22 -> 25 [size =\"35819520\"]\n  23 [size=\"82468864\", alpha=\"0.10\", expect_size=\"41234432\"] \n  23 -> 24 [size =\"41234432\"]\n  23 -> 25 [size =\"41234432\"]\n  24 [size=\"17750016\", alpha=\"0.01\", expect_size=\"8875008\"] \n  25 [size=\"71501824\", alpha=\"0.00\", expect_size=\"35750912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88276480\", alpha=\"0.07\", expect_size=\"35310592\"] \n  1 -> 2 [size =\"35310592\"]\n  2 [size=\"76544000\", alpha=\"0.15\", expect_size=\"30617600\"] \n  2 -> 3 [size =\"30617600\"]\n  3 [size=\"30740480\", alpha=\"0.20\", expect_size=\"12296192\"] \n  3 -> 4 [size =\"12296192\"]\n  4 [size=\"36641280\", alpha=\"0.07\", expect_size=\"14656512\"] \n  4 -> 5 [size =\"14656512\"]\n  5 [size=\"96775680\", alpha=\"0.07\", expect_size=\"38710272\"] \n  5 -> 6 [size =\"38710272\"]\n  6 [size=\"53977600\", alpha=\"0.17\", expect_size=\"21591040\"] \n  6 -> 7 [size =\"21591040\"]\n  7 [size=\"53130240\", alpha=\"0.01\", expect_size=\"21252096\"] \n  7 -> 8 [size =\"21252096\"]\n  8 [size=\"92510720\", alpha=\"0.07\", expect_size=\"37004288\"] \n  8 -> 9 [size =\"37004288\"]\n  9 [size=\"101504000\", alpha=\"0.15\", expect_size=\"40601600\"] \n  9 -> 10 [size =\"40601600\"]\n  10 [size=\"47808000\", alpha=\"0.07\", expect_size=\"19123200\"] \n  10 -> 11 [size =\"19123200\"]\n  11 [size=\"38661120\", alpha=\"0.16\", expect_size=\"15464448\"] \n  11 -> 12 [size =\"15464448\"]\n  12 [size=\"82063360\", alpha=\"0.09\", expect_size=\"32825344\"] \n  12 -> 13 [size =\"32825344\"]\n  13 [size=\"51361280\", alpha=\"0.15\", expect_size=\"20544512\"] \n  13 -> 14 [size =\"20544512\"]\n  14 [size=\"50588160\", alpha=\"0.09\", expect_size=\"20235264\"] \n  14 -> 15 [size =\"20235264\"]\n  15 [size=\"92840960\", alpha=\"0.17\", expect_size=\"37136384\"] \n  15 -> 16 [size =\"37136384\"]\n  16 [size=\"15416320\", alpha=\"0.02\", expect_size=\"6166528\"] \n  16 -> 17 [size =\"6166528\"]\n  17 [size=\"117150720\", alpha=\"0.11\", expect_size=\"46860288\"] \n  17 -> 18 [size =\"46860288\"]\n  18 [size=\"123376640\", alpha=\"0.10\", expect_size=\"49350656\"] \n  18 -> 19 [size =\"49350656\"]\n  19 [size=\"46202880\", alpha=\"0.15\", expect_size=\"18481152\"] \n  19 -> 20 [size =\"18481152\"]\n  20 [size=\"13826560\", alpha=\"0.18\", expect_size=\"5530624\"] \n  20 -> 21 [size =\"5530624\"]\n  21 [size=\"53017600\", alpha=\"0.13\", expect_size=\"21207040\"] \n  21 -> 22 [size =\"21207040\"]\n  22 [size=\"31331840\", alpha=\"0.20\", expect_size=\"12532736\"] \n  22 -> 23 [size =\"12532736\"]\n  23 [size=\"86205440\", alpha=\"0.09\", expect_size=\"34482176\"] \n  23 -> 24 [size =\"34482176\"]\n  24 [size=\"57500160\", alpha=\"0.02\", expect_size=\"23000064\"] \n  24 -> 25 [size =\"23000064\"]\n  25 [size=\"112675840\", alpha=\"0.09\", expect_size=\"45070336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76447744\", alpha=\"0.16\", expect_size=\"38223872\"] \n  1 -> 8 [size =\"38223872\"]\n  1 -> 9 [size =\"38223872\"]\n  1 -> 11 [size =\"38223872\"]\n  1 -> 15 [size =\"38223872\"]\n  2 [size=\"80519168\", alpha=\"0.02\", expect_size=\"40259584\"] \n  2 -> 8 [size =\"40259584\"]\n  3 [size=\"40558592\", alpha=\"0.07\", expect_size=\"20279296\"] \n  3 -> 9 [size =\"20279296\"]\n  4 [size=\"39718912\", alpha=\"0.14\", expect_size=\"19859456\"] \n  4 -> 10 [size =\"19859456\"]\n  4 -> 12 [size =\"19859456\"]\n  5 [size=\"35971072\", alpha=\"0.17\", expect_size=\"17985536\"] \n  5 -> 11 [size =\"17985536\"]\n  5 -> 13 [size =\"17985536\"]\n  5 -> 14 [size =\"17985536\"]\n  6 [size=\"103235584\", alpha=\"0.01\", expect_size=\"51617792\"] \n  6 -> 8 [size =\"51617792\"]\n  6 -> 11 [size =\"51617792\"]\n  7 [size=\"27205632\", alpha=\"0.08\", expect_size=\"13602816\"] \n  7 -> 8 [size =\"13602816\"]\n  8 [size=\"96368640\", alpha=\"0.19\", expect_size=\"48184320\"] \n  8 -> 18 [size =\"48184320\"]\n  8 -> 22 [size =\"48184320\"]\n  8 -> 23 [size =\"48184320\"]\n  9 [size=\"85286912\", alpha=\"0.06\", expect_size=\"42643456\"] \n  9 -> 16 [size =\"42643456\"]\n  9 -> 17 [size =\"42643456\"]\n  9 -> 21 [size =\"42643456\"]\n  9 -> 22 [size =\"42643456\"]\n  9 -> 25 [size =\"42643456\"]\n  10 [size=\"11603968\", alpha=\"0.16\", expect_size=\"5801984\"] \n  10 -> 17 [size =\"5801984\"]\n  10 -> 18 [size =\"5801984\"]\n  10 -> 20 [size =\"5801984\"]\n  10 -> 21 [size =\"5801984\"]\n  10 -> 22 [size =\"5801984\"]\n  10 -> 23 [size =\"5801984\"]\n  10 -> 25 [size =\"5801984\"]\n  11 [size=\"93380608\", alpha=\"0.02\", expect_size=\"46690304\"] \n  11 -> 16 [size =\"46690304\"]\n  11 -> 17 [size =\"46690304\"]\n  11 -> 18 [size =\"46690304\"]\n  11 -> 25 [size =\"46690304\"]\n  12 [size=\"75970560\", alpha=\"0.17\", expect_size=\"37985280\"] \n  12 -> 16 [size =\"37985280\"]\n  12 -> 18 [size =\"37985280\"]\n  12 -> 19 [size =\"37985280\"]\n  12 -> 20 [size =\"37985280\"]\n  12 -> 24 [size =\"37985280\"]\n  12 -> 25 [size =\"37985280\"]\n  13 [size=\"86106112\", alpha=\"0.05\", expect_size=\"43053056\"] \n  13 -> 20 [size =\"43053056\"]\n  13 -> 21 [size =\"43053056\"]\n  14 [size=\"25309184\", alpha=\"0.02\", expect_size=\"12654592\"] \n  14 -> 17 [size =\"12654592\"]\n  14 -> 21 [size =\"12654592\"]\n  14 -> 23 [size =\"12654592\"]\n  15 [size=\"90376192\", alpha=\"0.10\", expect_size=\"45188096\"] \n  15 -> 19 [size =\"45188096\"]\n  15 -> 22 [size =\"45188096\"]\n  16 [size=\"75352064\", alpha=\"0.02\", expect_size=\"37676032\"] \n  17 [size=\"79853568\", alpha=\"0.09\", expect_size=\"39926784\"] \n  18 [size=\"21049344\", alpha=\"0.11\", expect_size=\"10524672\"] \n  19 [size=\"15126528\", alpha=\"0.17\", expect_size=\"7563264\"] \n  20 [size=\"45076480\", alpha=\"0.09\", expect_size=\"22538240\"] \n  21 [size=\"25661440\", alpha=\"0.15\", expect_size=\"12830720\"] \n  22 [size=\"34336768\", alpha=\"0.15\", expect_size=\"17168384\"] \n  23 [size=\"20639744\", alpha=\"0.03\", expect_size=\"10319872\"] \n  24 [size=\"46262272\", alpha=\"0.16\", expect_size=\"23131136\"] \n  25 [size=\"54530048\", alpha=\"0.15\", expect_size=\"27265024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42501120\", alpha=\"0.07\", expect_size=\"17000448\"] \n  1 -> 2 [size =\"17000448\"]\n  1 -> 3 [size =\"17000448\"]\n  2 [size=\"65326080\", alpha=\"0.05\", expect_size=\"26130432\"] \n  2 -> 4 [size =\"26130432\"]\n  2 -> 5 [size =\"26130432\"]\n  3 [size=\"96266240\", alpha=\"0.17\", expect_size=\"38506496\"] \n  3 -> 4 [size =\"38506496\"]\n  4 [size=\"80097280\", alpha=\"0.13\", expect_size=\"32038912\"] \n  4 -> 6 [size =\"32038912\"]\n  5 [size=\"63086080\", alpha=\"0.14\", expect_size=\"25234432\"] \n  6 [size=\"68723200\", alpha=\"0.14\", expect_size=\"27489280\"] \n  6 -> 7 [size =\"27489280\"]\n  7 [size=\"108039680\", alpha=\"0.19\", expect_size=\"43215872\"] \n  7 -> 8 [size =\"43215872\"]\n  8 [size=\"102968320\", alpha=\"0.13\", expect_size=\"41187328\"] \n  8 -> 9 [size =\"41187328\"]\n  8 -> 10 [size =\"41187328\"]\n  9 [size=\"100536320\", alpha=\"0.06\", expect_size=\"40214528\"] \n  9 -> 11 [size =\"40214528\"]\n  9 -> 12 [size =\"40214528\"]\n  10 [size=\"112555520\", alpha=\"0.09\", expect_size=\"45022208\"] \n  11 [size=\"74408960\", alpha=\"0.16\", expect_size=\"29763584\"] \n  11 -> 14 [size =\"29763584\"]\n  12 [size=\"116165120\", alpha=\"0.10\", expect_size=\"46466048\"] \n  12 -> 13 [size =\"46466048\"]\n  13 [size=\"29719040\", alpha=\"0.12\", expect_size=\"11887616\"] \n  13 -> 16 [size =\"11887616\"]\n  14 [size=\"129635840\", alpha=\"0.08\", expect_size=\"51854336\"] \n  14 -> 15 [size =\"51854336\"]\n  14 -> 16 [size =\"51854336\"]\n  15 [size=\"89146880\", alpha=\"0.17\", expect_size=\"35658752\"] \n  15 -> 18 [size =\"35658752\"]\n  16 [size=\"55116800\", alpha=\"0.01\", expect_size=\"22046720\"] \n  16 -> 17 [size =\"22046720\"]\n  16 -> 18 [size =\"22046720\"]\n  17 [size=\"16975360\", alpha=\"0.08\", expect_size=\"6790144\"] \n  17 -> 19 [size =\"6790144\"]\n  17 -> 20 [size =\"6790144\"]\n  18 [size=\"126192640\", alpha=\"0.13\", expect_size=\"50477056\"] \n  18 -> 19 [size =\"50477056\"]\n  19 [size=\"83105280\", alpha=\"0.16\", expect_size=\"33242112\"] \n  20 [size=\"118855680\", alpha=\"0.17\", expect_size=\"47542272\"] \n  20 -> 21 [size =\"47542272\"]\n  21 [size=\"55444480\", alpha=\"0.03\", expect_size=\"22177792\"] \n  21 -> 22 [size =\"22177792\"]\n  21 -> 23 [size =\"22177792\"]\n  22 [size=\"33735680\", alpha=\"0.17\", expect_size=\"13494272\"] \n  22 -> 24 [size =\"13494272\"]\n  23 [size=\"91509760\", alpha=\"0.06\", expect_size=\"36603904\"] \n  23 -> 24 [size =\"36603904\"]\n  24 [size=\"42772480\", alpha=\"0.07\", expect_size=\"17108992\"] \n  24 -> 25 [size =\"17108992\"]\n  25 [size=\"92039680\", alpha=\"0.16\", expect_size=\"36815872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155422720\", alpha=\"0.05\", expect_size=\"46626816\"] \n  2 [size=\"145288533\", alpha=\"0.02\", expect_size=\"43586560\"] \n  2 -> 3 [size =\"43586560\"]\n  3 [size=\"148415147\", alpha=\"0.10\", expect_size=\"44524544\"] \n  3 -> 4 [size =\"44524544\"]\n  4 [size=\"134236160\", alpha=\"0.02\", expect_size=\"40270848\"] \n  4 -> 5 [size =\"40270848\"]\n  5 [size=\"101283840\", alpha=\"0.17\", expect_size=\"30385152\"] \n  5 -> 6 [size =\"30385152\"]\n  6 [size=\"120524800\", alpha=\"0.07\", expect_size=\"36157440\"] \n  6 -> 7 [size =\"36157440\"]\n  6 -> 8 [size =\"36157440\"]\n  7 [size=\"124569600\", alpha=\"0.00\", expect_size=\"37370880\"] \n  7 -> 9 [size =\"37370880\"]\n  8 [size=\"114138453\", alpha=\"0.03\", expect_size=\"34241536\"] \n  8 -> 9 [size =\"34241536\"]\n  8 -> 10 [size =\"34241536\"]\n  9 [size=\"105267200\", alpha=\"0.11\", expect_size=\"31580160\"] \n  9 -> 11 [size =\"31580160\"]\n  9 -> 12 [size =\"31580160\"]\n  10 [size=\"106898773\", alpha=\"0.13\", expect_size=\"32069632\"] \n  10 -> 11 [size =\"32069632\"]\n  10 -> 12 [size =\"32069632\"]\n  11 [size=\"45540693\", alpha=\"0.18\", expect_size=\"13662208\"] \n  11 -> 13 [size =\"13662208\"]\n  12 [size=\"86988800\", alpha=\"0.15\", expect_size=\"26096640\"] \n  12 -> 13 [size =\"26096640\"]\n  13 [size=\"103877973\", alpha=\"0.01\", expect_size=\"31163392\"] \n  13 -> 14 [size =\"31163392\"]\n  14 [size=\"28825600\", alpha=\"0.12\", expect_size=\"8647680\"] \n  14 -> 15 [size =\"8647680\"]\n  14 -> 16 [size =\"8647680\"]\n  15 [size=\"45257387\", alpha=\"0.01\", expect_size=\"13577216\"] \n  15 -> 18 [size =\"13577216\"]\n  16 [size=\"24524800\", alpha=\"0.11\", expect_size=\"7357440\"] \n  16 -> 17 [size =\"7357440\"]\n  17 [size=\"78103893\", alpha=\"0.15\", expect_size=\"23431168\"] \n  18 [size=\"80994987\", alpha=\"0.05\", expect_size=\"24298496\"] \n  18 -> 19 [size =\"24298496\"]\n  19 [size=\"107011413\", alpha=\"0.15\", expect_size=\"32103424\"] \n  19 -> 20 [size =\"32103424\"]\n  20 [size=\"39028053\", alpha=\"0.18\", expect_size=\"11708416\"] \n  20 -> 21 [size =\"11708416\"]\n  20 -> 22 [size =\"11708416\"]\n  21 [size=\"142987947\", alpha=\"0.18\", expect_size=\"42896384\"] \n  21 -> 23 [size =\"42896384\"]\n  22 [size=\"126941867\", alpha=\"0.14\", expect_size=\"38082560\"] \n  23 [size=\"90678613\", alpha=\"0.08\", expect_size=\"27203584\"] \n  23 -> 24 [size =\"27203584\"]\n  23 -> 25 [size =\"27203584\"]\n  24 [size=\"101741227\", alpha=\"0.16\", expect_size=\"30522368\"] \n  25 [size=\"40639147\", alpha=\"0.14\", expect_size=\"12191744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21207040\", alpha=\"0.03\", expect_size=\"10603520\"] \n  1 -> 10 [size =\"10603520\"]\n  1 -> 12 [size =\"10603520\"]\n  1 -> 15 [size =\"10603520\"]\n  1 -> 15 [size =\"10603520\"]\n  1 -> 16 [size =\"10603520\"]\n  1 -> 17 [size =\"10603520\"]\n  2 [size=\"95526912\", alpha=\"0.09\", expect_size=\"47763456\"] \n  2 -> 9 [size =\"47763456\"]\n  2 -> 10 [size =\"47763456\"]\n  2 -> 16 [size =\"47763456\"]\n  2 -> 17 [size =\"47763456\"]\n  3 [size=\"40523776\", alpha=\"0.06\", expect_size=\"20261888\"] \n  3 -> 10 [size =\"20261888\"]\n  3 -> 10 [size =\"20261888\"]\n  3 -> 11 [size =\"20261888\"]\n  3 -> 13 [size =\"20261888\"]\n  3 -> 14 [size =\"20261888\"]\n  3 -> 16 [size =\"20261888\"]\n  3 -> 17 [size =\"20261888\"]\n  4 [size=\"30085120\", alpha=\"0.13\", expect_size=\"15042560\"] \n  4 -> 10 [size =\"15042560\"]\n  4 -> 11 [size =\"15042560\"]\n  4 -> 11 [size =\"15042560\"]\n  5 [size=\"12009472\", alpha=\"0.18\", expect_size=\"6004736\"] \n  5 -> 9 [size =\"6004736\"]\n  5 -> 10 [size =\"6004736\"]\n  5 -> 11 [size =\"6004736\"]\n  5 -> 15 [size =\"6004736\"]\n  5 -> 16 [size =\"6004736\"]\n  6 [size=\"22616064\", alpha=\"0.19\", expect_size=\"11308032\"] \n  6 -> 9 [size =\"11308032\"]\n  6 -> 11 [size =\"11308032\"]\n  6 -> 13 [size =\"11308032\"]\n  6 -> 16 [size =\"11308032\"]\n  6 -> 17 [size =\"11308032\"]\n  7 [size=\"103600128\", alpha=\"0.12\", expect_size=\"51800064\"] \n  7 -> 9 [size =\"51800064\"]\n  7 -> 10 [size =\"51800064\"]\n  7 -> 11 [size =\"51800064\"]\n  7 -> 13 [size =\"51800064\"]\n  7 -> 15 [size =\"51800064\"]\n  7 -> 16 [size =\"51800064\"]\n  7 -> 17 [size =\"51800064\"]\n  8 [size=\"83056640\", alpha=\"0.04\", expect_size=\"41528320\"] \n  8 -> 10 [size =\"41528320\"]\n  8 -> 11 [size =\"41528320\"]\n  8 -> 13 [size =\"41528320\"]\n  8 -> 15 [size =\"41528320\"]\n  8 -> 15 [size =\"41528320\"]\n  8 -> 16 [size =\"41528320\"]\n  8 -> 17 [size =\"41528320\"]\n  9 [size=\"99538944\", alpha=\"0.04\", expect_size=\"49769472\"] \n  9 -> 20 [size =\"49769472\"]\n  9 -> 21 [size =\"49769472\"]\n  9 -> 21 [size =\"49769472\"]\n  9 -> 22 [size =\"49769472\"]\n  9 -> 23 [size =\"49769472\"]\n  9 -> 25 [size =\"49769472\"]\n  10 [size=\"27652096\", alpha=\"0.03\", expect_size=\"13826048\"] \n  10 -> 21 [size =\"13826048\"]\n  10 -> 23 [size =\"13826048\"]\n  10 -> 25 [size =\"13826048\"]\n  11 [size=\"44394496\", alpha=\"0.10\", expect_size=\"22197248\"] \n  11 -> 20 [size =\"22197248\"]\n  11 -> 21 [size =\"22197248\"]\n  11 -> 23 [size =\"22197248\"]\n  11 -> 24 [size =\"22197248\"]\n  12 [size=\"57083904\", alpha=\"0.11\", expect_size=\"28541952\"] \n  12 -> 23 [size =\"28541952\"]\n  12 -> 24 [size =\"28541952\"]\n  13 [size=\"97970176\", alpha=\"0.00\", expect_size=\"48985088\"] \n  13 -> 18 [size =\"48985088\"]\n  13 -> 20 [size =\"48985088\"]\n  13 -> 23 [size =\"48985088\"]\n  13 -> 24 [size =\"48985088\"]\n  13 -> 25 [size =\"48985088\"]\n  14 [size=\"33677312\", alpha=\"0.13\", expect_size=\"16838656\"] \n  14 -> 18 [size =\"16838656\"]\n  14 -> 20 [size =\"16838656\"]\n  14 -> 21 [size =\"16838656\"]\n  14 -> 23 [size =\"16838656\"]\n  14 -> 25 [size =\"16838656\"]\n  15 [size=\"93046784\", alpha=\"0.02\", expect_size=\"46523392\"] \n  15 -> 18 [size =\"46523392\"]\n  15 -> 20 [size =\"46523392\"]\n  15 -> 21 [size =\"46523392\"]\n  15 -> 23 [size =\"46523392\"]\n  15 -> 25 [size =\"46523392\"]\n  16 [size=\"84973568\", alpha=\"0.04\", expect_size=\"42486784\"] \n  16 -> 19 [size =\"42486784\"]\n  16 -> 20 [size =\"42486784\"]\n  16 -> 21 [size =\"42486784\"]\n  16 -> 22 [size =\"42486784\"]\n  16 -> 23 [size =\"42486784\"]\n  16 -> 25 [size =\"42486784\"]\n  17 [size=\"81913856\", alpha=\"0.14\", expect_size=\"40956928\"] \n  17 -> 18 [size =\"40956928\"]\n  17 -> 20 [size =\"40956928\"]\n  17 -> 21 [size =\"40956928\"]\n  17 -> 22 [size =\"40956928\"]\n  17 -> 23 [size =\"40956928\"]\n  17 -> 25 [size =\"40956928\"]\n  18 [size=\"42895360\", alpha=\"0.14\", expect_size=\"21447680\"] \n  19 [size=\"59443200\", alpha=\"0.10\", expect_size=\"29721600\"] \n  20 [size=\"76029952\", alpha=\"0.15\", expect_size=\"38014976\"] \n  21 [size=\"87937024\", alpha=\"0.03\", expect_size=\"43968512\"] \n  22 [size=\"42819584\", alpha=\"0.09\", expect_size=\"21409792\"] \n  23 [size=\"94515200\", alpha=\"0.01\", expect_size=\"47257600\"] \n  24 [size=\"95698944\", alpha=\"0.17\", expect_size=\"47849472\"] \n  25 [size=\"60672000\", alpha=\"0.14\", expect_size=\"30336000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163321173\", alpha=\"0.06\", expect_size=\"48996352\"] \n  1 -> 2 [size =\"48996352\"]\n  2 [size=\"168424107\", alpha=\"0.18\", expect_size=\"50527232\"] \n  2 -> 3 [size =\"50527232\"]\n  3 [size=\"120432640\", alpha=\"0.04\", expect_size=\"36129792\"] \n  3 -> 4 [size =\"36129792\"]\n  4 [size=\"81172480\", alpha=\"0.15\", expect_size=\"24351744\"] \n  4 -> 5 [size =\"24351744\"]\n  5 [size=\"99915093\", alpha=\"0.06\", expect_size=\"29974528\"] \n  5 -> 6 [size =\"29974528\"]\n  6 [size=\"18599253\", alpha=\"0.09\", expect_size=\"5579776\"] \n  6 -> 7 [size =\"5579776\"]\n  7 [size=\"19367253\", alpha=\"0.01\", expect_size=\"5810176\"] \n  7 -> 8 [size =\"5810176\"]\n  8 [size=\"165502293\", alpha=\"0.09\", expect_size=\"49650688\"] \n  8 -> 9 [size =\"49650688\"]\n  9 [size=\"88053760\", alpha=\"0.11\", expect_size=\"26416128\"] \n  9 -> 10 [size =\"26416128\"]\n  10 [size=\"101655893\", alpha=\"0.08\", expect_size=\"30496768\"] \n  10 -> 11 [size =\"30496768\"]\n  11 [size=\"135925760\", alpha=\"0.09\", expect_size=\"40777728\"] \n  11 -> 12 [size =\"40777728\"]\n  12 [size=\"29330773\", alpha=\"0.05\", expect_size=\"8799232\"] \n  12 -> 13 [size =\"8799232\"]\n  13 [size=\"170741760\", alpha=\"0.06\", expect_size=\"51222528\"] \n  13 -> 14 [size =\"51222528\"]\n  14 [size=\"41533440\", alpha=\"0.12\", expect_size=\"12460032\"] \n  14 -> 15 [size =\"12460032\"]\n  15 [size=\"159593813\", alpha=\"0.01\", expect_size=\"47878144\"] \n  15 -> 16 [size =\"47878144\"]\n  16 [size=\"47899307\", alpha=\"0.09\", expect_size=\"14369792\"] \n  16 -> 17 [size =\"14369792\"]\n  17 [size=\"114940587\", alpha=\"0.11\", expect_size=\"34482176\"] \n  17 -> 18 [size =\"34482176\"]\n  18 [size=\"119808000\", alpha=\"0.20\", expect_size=\"35942400\"] \n  18 -> 19 [size =\"35942400\"]\n  19 [size=\"35590827\", alpha=\"0.16\", expect_size=\"10677248\"] \n  19 -> 20 [size =\"10677248\"]\n  20 [size=\"124514987\", alpha=\"0.11\", expect_size=\"37354496\"] \n  20 -> 21 [size =\"37354496\"]\n  21 [size=\"26996053\", alpha=\"0.05\", expect_size=\"8098816\"] \n  21 -> 22 [size =\"8098816\"]\n  22 [size=\"98969600\", alpha=\"0.17\", expect_size=\"29690880\"] \n  22 -> 23 [size =\"29690880\"]\n  23 [size=\"136714240\", alpha=\"0.03\", expect_size=\"41014272\"] \n  23 -> 24 [size =\"41014272\"]\n  24 [size=\"25733120\", alpha=\"0.17\", expect_size=\"7719936\"] \n  24 -> 25 [size =\"7719936\"]\n  25 [size=\"121255253\", alpha=\"0.01\", expect_size=\"36376576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46925824\", alpha=\"0.00\", expect_size=\"23462912\"] \n  1 -> 14 [size =\"23462912\"]\n  1 -> 16 [size =\"23462912\"]\n  1 -> 19 [size =\"23462912\"]\n  1 -> 19 [size =\"23462912\"]\n  1 -> 20 [size =\"23462912\"]\n  2 [size=\"42168320\", alpha=\"0.13\", expect_size=\"21084160\"] \n  2 -> 14 [size =\"21084160\"]\n  2 -> 16 [size =\"21084160\"]\n  2 -> 20 [size =\"21084160\"]\n  3 [size=\"71415808\", alpha=\"0.09\", expect_size=\"35707904\"] \n  3 -> 16 [size =\"35707904\"]\n  3 -> 18 [size =\"35707904\"]\n  4 [size=\"85923840\", alpha=\"0.12\", expect_size=\"42961920\"] \n  4 -> 13 [size =\"42961920\"]\n  5 [size=\"89616384\", alpha=\"0.19\", expect_size=\"44808192\"] \n  6 [size=\"46557184\", alpha=\"0.05\", expect_size=\"23278592\"] \n  6 -> 19 [size =\"23278592\"]\n  7 [size=\"27547648\", alpha=\"0.11\", expect_size=\"13773824\"] \n  7 -> 14 [size =\"13773824\"]\n  7 -> 15 [size =\"13773824\"]\n  7 -> 16 [size =\"13773824\"]\n  8 [size=\"25606144\", alpha=\"0.20\", expect_size=\"12803072\"] \n  8 -> 14 [size =\"12803072\"]\n  8 -> 16 [size =\"12803072\"]\n  8 -> 18 [size =\"12803072\"]\n  8 -> 19 [size =\"12803072\"]\n  8 -> 20 [size =\"12803072\"]\n  9 [size=\"28721152\", alpha=\"0.18\", expect_size=\"14360576\"] \n  9 -> 14 [size =\"14360576\"]\n  9 -> 16 [size =\"14360576\"]\n  10 [size=\"20611072\", alpha=\"0.10\", expect_size=\"10305536\"] \n  10 -> 14 [size =\"10305536\"]\n  10 -> 16 [size =\"10305536\"]\n  10 -> 17 [size =\"10305536\"]\n  10 -> 20 [size =\"10305536\"]\n  11 [size=\"56504320\", alpha=\"0.02\", expect_size=\"28252160\"] \n  11 -> 12 [size =\"28252160\"]\n  11 -> 13 [size =\"28252160\"]\n  11 -> 14 [size =\"28252160\"]\n  11 -> 19 [size =\"28252160\"]\n  12 [size=\"57319424\", alpha=\"0.06\", expect_size=\"28659712\"] \n  12 -> 23 [size =\"28659712\"]\n  12 -> 24 [size =\"28659712\"]\n  13 [size=\"23760896\", alpha=\"0.16\", expect_size=\"11880448\"] \n  13 -> 23 [size =\"11880448\"]\n  13 -> 25 [size =\"11880448\"]\n  14 [size=\"66557952\", alpha=\"0.02\", expect_size=\"33278976\"] \n  14 -> 21 [size =\"33278976\"]\n  15 [size=\"26945536\", alpha=\"0.16\", expect_size=\"13472768\"] \n  15 -> 21 [size =\"13472768\"]\n  16 [size=\"22546432\", alpha=\"0.10\", expect_size=\"11273216\"] \n  16 -> 21 [size =\"11273216\"]\n  16 -> 22 [size =\"11273216\"]\n  17 [size=\"44769280\", alpha=\"0.16\", expect_size=\"22384640\"] \n  18 [size=\"96239616\", alpha=\"0.04\", expect_size=\"48119808\"] \n  18 -> 22 [size =\"48119808\"]\n  18 -> 23 [size =\"48119808\"]\n  18 -> 25 [size =\"48119808\"]\n  19 [size=\"94724096\", alpha=\"0.06\", expect_size=\"47362048\"] \n  19 -> 21 [size =\"47362048\"]\n  20 [size=\"84801536\", alpha=\"0.07\", expect_size=\"42400768\"] \n  20 -> 21 [size =\"42400768\"]\n  21 [size=\"36734976\", alpha=\"0.16\", expect_size=\"18367488\"] \n  22 [size=\"47525888\", alpha=\"0.11\", expect_size=\"23762944\"] \n  23 [size=\"76826624\", alpha=\"0.19\", expect_size=\"38413312\"] \n  24 [size=\"58091520\", alpha=\"0.03\", expect_size=\"29045760\"] \n  25 [size=\"68562944\", alpha=\"0.04\", expect_size=\"34281472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108689920\", alpha=\"0.06\", expect_size=\"43475968\"] \n  1 -> 3 [size =\"43475968\"]\n  2 [size=\"30069760\", alpha=\"0.18\", expect_size=\"12027904\"] \n  3 [size=\"85352960\", alpha=\"0.11\", expect_size=\"34141184\"] \n  3 -> 4 [size =\"34141184\"]\n  4 [size=\"115952640\", alpha=\"0.19\", expect_size=\"46381056\"] \n  4 -> 5 [size =\"46381056\"]\n  4 -> 6 [size =\"46381056\"]\n  5 [size=\"55841280\", alpha=\"0.09\", expect_size=\"22336512\"] \n  6 [size=\"109608960\", alpha=\"0.15\", expect_size=\"43843584\"] \n  6 -> 7 [size =\"43843584\"]\n  7 [size=\"22512640\", alpha=\"0.16\", expect_size=\"9005056\"] \n  7 -> 8 [size =\"9005056\"]\n  8 [size=\"56076800\", alpha=\"0.04\", expect_size=\"22430720\"] \n  8 -> 9 [size =\"22430720\"]\n  8 -> 10 [size =\"22430720\"]\n  9 [size=\"64555520\", alpha=\"0.05\", expect_size=\"25822208\"] \n  9 -> 11 [size =\"25822208\"]\n  10 [size=\"122560000\", alpha=\"0.16\", expect_size=\"49024000\"] \n  11 [size=\"50805760\", alpha=\"0.01\", expect_size=\"20322304\"] \n  11 -> 12 [size =\"20322304\"]\n  12 [size=\"86348800\", alpha=\"0.18\", expect_size=\"34539520\"] \n  12 -> 13 [size =\"34539520\"]\n  13 [size=\"76887040\", alpha=\"0.15\", expect_size=\"30754816\"] \n  13 -> 14 [size =\"30754816\"]\n  14 [size=\"22881280\", alpha=\"0.05\", expect_size=\"9152512\"] \n  14 -> 15 [size =\"9152512\"]\n  15 [size=\"19141120\", alpha=\"0.05\", expect_size=\"7656448\"] \n  15 -> 16 [size =\"7656448\"]\n  16 [size=\"74024960\", alpha=\"0.16\", expect_size=\"29609984\"] \n  16 -> 17 [size =\"29609984\"]\n  17 [size=\"45478400\", alpha=\"0.14\", expect_size=\"18191360\"] \n  17 -> 18 [size =\"18191360\"]\n  18 [size=\"19072000\", alpha=\"0.15\", expect_size=\"7628800\"] \n  18 -> 19 [size =\"7628800\"]\n  19 [size=\"42608640\", alpha=\"0.01\", expect_size=\"17043456\"] \n  19 -> 20 [size =\"17043456\"]\n  20 [size=\"73410560\", alpha=\"0.12\", expect_size=\"29364224\"] \n  20 -> 21 [size =\"29364224\"]\n  21 [size=\"51993600\", alpha=\"0.00\", expect_size=\"20797440\"] \n  21 -> 22 [size =\"20797440\"]\n  22 [size=\"57628160\", alpha=\"0.11\", expect_size=\"23051264\"] \n  22 -> 23 [size =\"23051264\"]\n  22 -> 24 [size =\"23051264\"]\n  23 [size=\"46423040\", alpha=\"0.14\", expect_size=\"18569216\"] \n  23 -> 25 [size =\"18569216\"]\n  24 [size=\"16972800\", alpha=\"0.14\", expect_size=\"6789120\"] \n  25 [size=\"43765760\", alpha=\"0.02\", expect_size=\"17506304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73789440\", alpha=\"0.17\", expect_size=\"29515776\"] \n  1 -> 18 [size =\"29515776\"]\n  1 -> 19 [size =\"29515776\"]\n  1 -> 21 [size =\"29515776\"]\n  1 -> 25 [size =\"29515776\"]\n  2 [size=\"24752640\", alpha=\"0.08\", expect_size=\"9901056\"] \n  2 -> 19 [size =\"9901056\"]\n  2 -> 19 [size =\"9901056\"]\n  2 -> 25 [size =\"9901056\"]\n  3 [size=\"117068800\", alpha=\"0.03\", expect_size=\"46827520\"] \n  3 -> 18 [size =\"46827520\"]\n  3 -> 19 [size =\"46827520\"]\n  3 -> 20 [size =\"46827520\"]\n  3 -> 22 [size =\"46827520\"]\n  3 -> 24 [size =\"46827520\"]\n  3 -> 25 [size =\"46827520\"]\n  4 [size=\"106731520\", alpha=\"0.11\", expect_size=\"42692608\"] \n  5 [size=\"102940160\", alpha=\"0.15\", expect_size=\"41176064\"] \n  5 -> 21 [size =\"41176064\"]\n  6 [size=\"126607360\", alpha=\"0.11\", expect_size=\"50642944\"] \n  6 -> 19 [size =\"50642944\"]\n  6 -> 22 [size =\"50642944\"]\n  6 -> 25 [size =\"50642944\"]\n  7 [size=\"26268160\", alpha=\"0.18\", expect_size=\"10507264\"] \n  7 -> 19 [size =\"10507264\"]\n  7 -> 20 [size =\"10507264\"]\n  7 -> 23 [size =\"10507264\"]\n  7 -> 25 [size =\"10507264\"]\n  8 [size=\"24432640\", alpha=\"0.05\", expect_size=\"9773056\"] \n  8 -> 18 [size =\"9773056\"]\n  8 -> 19 [size =\"9773056\"]\n  8 -> 24 [size =\"9773056\"]\n  9 [size=\"27909120\", alpha=\"0.04\", expect_size=\"11163648\"] \n  9 -> 18 [size =\"11163648\"]\n  9 -> 21 [size =\"11163648\"]\n  9 -> 24 [size =\"11163648\"]\n  10 [size=\"68331520\", alpha=\"0.08\", expect_size=\"27332608\"] \n  10 -> 23 [size =\"27332608\"]\n  10 -> 25 [size =\"27332608\"]\n  11 [size=\"99985920\", alpha=\"0.10\", expect_size=\"39994368\"] \n  11 -> 25 [size =\"39994368\"]\n  12 [size=\"83878400\", alpha=\"0.16\", expect_size=\"33551360\"] \n  13 [size=\"130754560\", alpha=\"0.02\", expect_size=\"52301824\"] \n  13 -> 18 [size =\"52301824\"]\n  13 -> 19 [size =\"52301824\"]\n  13 -> 21 [size =\"52301824\"]\n  14 [size=\"32949760\", alpha=\"0.04\", expect_size=\"13179904\"] \n  14 -> 18 [size =\"13179904\"]\n  14 -> 19 [size =\"13179904\"]\n  15 [size=\"99842560\", alpha=\"0.14\", expect_size=\"39937024\"] \n  15 -> 18 [size =\"39937024\"]\n  15 -> 19 [size =\"39937024\"]\n  15 -> 20 [size =\"39937024\"]\n  15 -> 21 [size =\"39937024\"]\n  15 -> 23 [size =\"39937024\"]\n  16 [size=\"72258560\", alpha=\"0.11\", expect_size=\"28903424\"] \n  16 -> 19 [size =\"28903424\"]\n  16 -> 19 [size =\"28903424\"]\n  16 -> 23 [size =\"28903424\"]\n  17 [size=\"20902400\", alpha=\"0.13\", expect_size=\"8360960\"] \n  17 -> 19 [size =\"8360960\"]\n  17 -> 20 [size =\"8360960\"]\n  17 -> 21 [size =\"8360960\"]\n  17 -> 25 [size =\"8360960\"]\n  18 [size=\"128647680\", alpha=\"0.13\", expect_size=\"51459072\"] \n  19 [size=\"43002880\", alpha=\"0.10\", expect_size=\"17201152\"] \n  20 [size=\"64135680\", alpha=\"0.07\", expect_size=\"25654272\"] \n  21 [size=\"113510400\", alpha=\"0.14\", expect_size=\"45404160\"] \n  22 [size=\"53944320\", alpha=\"0.04\", expect_size=\"21577728\"] \n  23 [size=\"29706240\", alpha=\"0.11\", expect_size=\"11882496\"] \n  24 [size=\"40778240\", alpha=\"0.14\", expect_size=\"16311296\"] \n  25 [size=\"66557440\", alpha=\"0.12\", expect_size=\"26622976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19302400\", alpha=\"0.07\", expect_size=\"9651200\"] \n  1 -> 16 [size =\"9651200\"]\n  1 -> 17 [size =\"9651200\"]\n  1 -> 18 [size =\"9651200\"]\n  1 -> 20 [size =\"9651200\"]\n  1 -> 23 [size =\"9651200\"]\n  2 [size=\"47749120\", alpha=\"0.08\", expect_size=\"23874560\"] \n  2 -> 16 [size =\"23874560\"]\n  2 -> 18 [size =\"23874560\"]\n  2 -> 25 [size =\"23874560\"]\n  3 [size=\"45379584\", alpha=\"0.11\", expect_size=\"22689792\"] \n  3 -> 17 [size =\"22689792\"]\n  3 -> 21 [size =\"22689792\"]\n  3 -> 22 [size =\"22689792\"]\n  4 [size=\"20398080\", alpha=\"0.10\", expect_size=\"10199040\"] \n  4 -> 16 [size =\"10199040\"]\n  4 -> 21 [size =\"10199040\"]\n  5 [size=\"15329280\", alpha=\"0.18\", expect_size=\"7664640\"] \n  5 -> 21 [size =\"7664640\"]\n  6 [size=\"59172864\", alpha=\"0.17\", expect_size=\"29586432\"] \n  6 -> 20 [size =\"29586432\"]\n  6 -> 22 [size =\"29586432\"]\n  6 -> 23 [size =\"29586432\"]\n  6 -> 25 [size =\"29586432\"]\n  7 [size=\"60624896\", alpha=\"0.12\", expect_size=\"30312448\"] \n  7 -> 17 [size =\"30312448\"]\n  7 -> 21 [size =\"30312448\"]\n  7 -> 22 [size =\"30312448\"]\n  7 -> 23 [size =\"30312448\"]\n  7 -> 25 [size =\"30312448\"]\n  8 [size=\"14008320\", alpha=\"0.06\", expect_size=\"7004160\"] \n  8 -> 22 [size =\"7004160\"]\n  8 -> 23 [size =\"7004160\"]\n  9 [size=\"88977408\", alpha=\"0.10\", expect_size=\"44488704\"] \n  9 -> 16 [size =\"44488704\"]\n  9 -> 18 [size =\"44488704\"]\n  9 -> 20 [size =\"44488704\"]\n  10 [size=\"72814592\", alpha=\"0.17\", expect_size=\"36407296\"] \n  10 -> 19 [size =\"36407296\"]\n  10 -> 20 [size =\"36407296\"]\n  10 -> 21 [size =\"36407296\"]\n  10 -> 22 [size =\"36407296\"]\n  10 -> 25 [size =\"36407296\"]\n  11 [size=\"49207296\", alpha=\"0.00\", expect_size=\"24603648\"] \n  11 -> 17 [size =\"24603648\"]\n  11 -> 19 [size =\"24603648\"]\n  11 -> 20 [size =\"24603648\"]\n  11 -> 21 [size =\"24603648\"]\n  12 [size=\"83363840\", alpha=\"0.06\", expect_size=\"41681920\"] \n  12 -> 19 [size =\"41681920\"]\n  12 -> 19 [size =\"41681920\"]\n  12 -> 20 [size =\"41681920\"]\n  12 -> 21 [size =\"41681920\"]\n  12 -> 24 [size =\"41681920\"]\n  13 [size=\"24741888\", alpha=\"0.16\", expect_size=\"12370944\"] \n  13 -> 19 [size =\"12370944\"]\n  13 -> 20 [size =\"12370944\"]\n  14 [size=\"74942464\", alpha=\"0.04\", expect_size=\"37471232\"] \n  15 [size=\"29679616\", alpha=\"0.08\", expect_size=\"14839808\"] \n  15 -> 23 [size =\"14839808\"]\n  16 [size=\"21807104\", alpha=\"0.11\", expect_size=\"10903552\"] \n  17 [size=\"103976960\", alpha=\"0.19\", expect_size=\"51988480\"] \n  18 [size=\"68317184\", alpha=\"0.11\", expect_size=\"34158592\"] \n  19 [size=\"96624640\", alpha=\"0.11\", expect_size=\"48312320\"] \n  20 [size=\"50462720\", alpha=\"0.02\", expect_size=\"25231360\"] \n  21 [size=\"36743168\", alpha=\"0.16\", expect_size=\"18371584\"] \n  22 [size=\"39004160\", alpha=\"0.17\", expect_size=\"19502080\"] \n  23 [size=\"67983360\", alpha=\"0.06\", expect_size=\"33991680\"] \n  24 [size=\"48676864\", alpha=\"0.17\", expect_size=\"24338432\"] \n  25 [size=\"68014080\", alpha=\"0.09\", expect_size=\"34007040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122627413\", alpha=\"0.09\", expect_size=\"36788224\"] \n  1 -> 6 [size =\"36788224\"]\n  2 [size=\"131498667\", alpha=\"0.11\", expect_size=\"39449600\"] \n  2 -> 6 [size =\"39449600\"]\n  3 [size=\"35942400\", alpha=\"0.11\", expect_size=\"10782720\"] \n  3 -> 5 [size =\"10782720\"]\n  4 [size=\"106639360\", alpha=\"0.04\", expect_size=\"31991808\"] \n  4 -> 5 [size =\"31991808\"]\n  4 -> 6 [size =\"31991808\"]\n  5 [size=\"23210667\", alpha=\"0.16\", expect_size=\"6963200\"] \n  5 -> 7 [size =\"6963200\"]\n  5 -> 8 [size =\"6963200\"]\n  6 [size=\"29085013\", alpha=\"0.06\", expect_size=\"8725504\"] \n  6 -> 7 [size =\"8725504\"]\n  6 -> 8 [size =\"8725504\"]\n  7 [size=\"81800533\", alpha=\"0.16\", expect_size=\"24540160\"] \n  7 -> 9 [size =\"24540160\"]\n  7 -> 10 [size =\"24540160\"]\n  7 -> 11 [size =\"24540160\"]\n  8 [size=\"151794347\", alpha=\"0.18\", expect_size=\"45538304\"] \n  8 -> 9 [size =\"45538304\"]\n  8 -> 10 [size =\"45538304\"]\n  8 -> 11 [size =\"45538304\"]\n  9 [size=\"26787840\", alpha=\"0.03\", expect_size=\"8036352\"] \n  9 -> 12 [size =\"8036352\"]\n  9 -> 13 [size =\"8036352\"]\n  10 [size=\"80933547\", alpha=\"0.02\", expect_size=\"24280064\"] \n  11 [size=\"79353173\", alpha=\"0.04\", expect_size=\"23805952\"] \n  12 [size=\"148527787\", alpha=\"0.06\", expect_size=\"44558336\"] \n  12 -> 14 [size =\"44558336\"]\n  12 -> 15 [size =\"44558336\"]\n  12 -> 16 [size =\"44558336\"]\n  13 [size=\"77370027\", alpha=\"0.02\", expect_size=\"23211008\"] \n  13 -> 15 [size =\"23211008\"]\n  13 -> 16 [size =\"23211008\"]\n  14 [size=\"165447680\", alpha=\"0.07\", expect_size=\"49634304\"] \n  14 -> 17 [size =\"49634304\"]\n  15 [size=\"38768640\", alpha=\"0.08\", expect_size=\"11630592\"] \n  15 -> 17 [size =\"11630592\"]\n  15 -> 18 [size =\"11630592\"]\n  16 [size=\"164877653\", alpha=\"0.03\", expect_size=\"49463296\"] \n  16 -> 18 [size =\"49463296\"]\n  17 [size=\"51285333\", alpha=\"0.08\", expect_size=\"15385600\"] \n  17 -> 19 [size =\"15385600\"]\n  17 -> 22 [size =\"15385600\"]\n  17 -> 23 [size =\"15385600\"]\n  18 [size=\"22961493\", alpha=\"0.04\", expect_size=\"6888448\"] \n  18 -> 20 [size =\"6888448\"]\n  18 -> 21 [size =\"6888448\"]\n  18 -> 22 [size =\"6888448\"]\n  19 [size=\"164870827\", alpha=\"0.06\", expect_size=\"49461248\"] \n  19 -> 24 [size =\"49461248\"]\n  19 -> 25 [size =\"49461248\"]\n  20 [size=\"29573120\", alpha=\"0.09\", expect_size=\"8871936\"] \n  20 -> 24 [size =\"8871936\"]\n  21 [size=\"48104107\", alpha=\"0.05\", expect_size=\"14431232\"] \n  21 -> 25 [size =\"14431232\"]\n  22 [size=\"76369920\", alpha=\"0.15\", expect_size=\"22910976\"] \n  22 -> 24 [size =\"22910976\"]\n  23 [size=\"126218240\", alpha=\"0.08\", expect_size=\"37865472\"] \n  23 -> 24 [size =\"37865472\"]\n  24 [size=\"143940267\", alpha=\"0.12\", expect_size=\"43182080\"] \n  25 [size=\"37976747\", alpha=\"0.17\", expect_size=\"11393024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87104853\", alpha=\"0.07\", expect_size=\"26131456\"] \n  1 -> 3 [size =\"26131456\"]\n  2 [size=\"116927147\", alpha=\"0.01\", expect_size=\"35078144\"] \n  3 [size=\"98949120\", alpha=\"0.14\", expect_size=\"29684736\"] \n  3 -> 4 [size =\"29684736\"]\n  3 -> 5 [size =\"29684736\"]\n  4 [size=\"61853013\", alpha=\"0.09\", expect_size=\"18555904\"] \n  4 -> 6 [size =\"18555904\"]\n  5 [size=\"27685547\", alpha=\"0.17\", expect_size=\"8305664\"] \n  5 -> 7 [size =\"8305664\"]\n  6 [size=\"154559147\", alpha=\"0.19\", expect_size=\"46367744\"] \n  6 -> 8 [size =\"46367744\"]\n  7 [size=\"41530027\", alpha=\"0.00\", expect_size=\"12459008\"] \n  8 [size=\"56586240\", alpha=\"0.02\", expect_size=\"16975872\"] \n  8 -> 9 [size =\"16975872\"]\n  9 [size=\"97099093\", alpha=\"0.16\", expect_size=\"29129728\"] \n  9 -> 10 [size =\"29129728\"]\n  10 [size=\"22203733\", alpha=\"0.09\", expect_size=\"6661120\"] \n  10 -> 11 [size =\"6661120\"]\n  11 [size=\"113506987\", alpha=\"0.10\", expect_size=\"34052096\"] \n  11 -> 12 [size =\"34052096\"]\n  12 [size=\"165416960\", alpha=\"0.19\", expect_size=\"49625088\"] \n  12 -> 13 [size =\"49625088\"]\n  12 -> 14 [size =\"49625088\"]\n  13 [size=\"170642773\", alpha=\"0.14\", expect_size=\"51192832\"] \n  13 -> 15 [size =\"51192832\"]\n  14 [size=\"121067520\", alpha=\"0.12\", expect_size=\"36320256\"] \n  15 [size=\"31883947\", alpha=\"0.05\", expect_size=\"9565184\"] \n  15 -> 16 [size =\"9565184\"]\n  16 [size=\"163840000\", alpha=\"0.18\", expect_size=\"49152000\"] \n  16 -> 17 [size =\"49152000\"]\n  17 [size=\"154647893\", alpha=\"0.15\", expect_size=\"46394368\"] \n  17 -> 18 [size =\"46394368\"]\n  17 -> 19 [size =\"46394368\"]\n  18 [size=\"155589973\", alpha=\"0.09\", expect_size=\"46676992\"] \n  18 -> 21 [size =\"46676992\"]\n  19 [size=\"168550400\", alpha=\"0.03\", expect_size=\"50565120\"] \n  19 -> 20 [size =\"50565120\"]\n  20 [size=\"139885227\", alpha=\"0.18\", expect_size=\"41965568\"] \n  21 [size=\"56548693\", alpha=\"0.02\", expect_size=\"16964608\"] \n  21 -> 22 [size =\"16964608\"]\n  22 [size=\"135103147\", alpha=\"0.18\", expect_size=\"40530944\"] \n  22 -> 23 [size =\"40530944\"]\n  22 -> 24 [size =\"40530944\"]\n  23 [size=\"126624427\", alpha=\"0.05\", expect_size=\"37987328\"] \n  23 -> 25 [size =\"37987328\"]\n  24 [size=\"76127573\", alpha=\"0.17\", expect_size=\"22838272\"] \n  25 [size=\"167089493\", alpha=\"0.11\", expect_size=\"50126848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99223552\", alpha=\"0.12\", expect_size=\"49611776\"] \n  1 -> 3 [size =\"49611776\"]\n  1 -> 4 [size =\"49611776\"]\n  2 [size=\"87980032\", alpha=\"0.19\", expect_size=\"43990016\"] \n  2 -> 3 [size =\"43990016\"]\n  2 -> 4 [size =\"43990016\"]\n  3 [size=\"79497216\", alpha=\"0.15\", expect_size=\"39748608\"] \n  3 -> 5 [size =\"39748608\"]\n  3 -> 6 [size =\"39748608\"]\n  4 [size=\"101636096\", alpha=\"0.02\", expect_size=\"50818048\"] \n  4 -> 6 [size =\"50818048\"]\n  5 [size=\"25546752\", alpha=\"0.01\", expect_size=\"12773376\"] \n  5 -> 8 [size =\"12773376\"]\n  6 [size=\"84162560\", alpha=\"0.16\", expect_size=\"42081280\"] \n  6 -> 7 [size =\"42081280\"]\n  6 -> 8 [size =\"42081280\"]\n  7 [size=\"75544576\", alpha=\"0.15\", expect_size=\"37772288\"] \n  7 -> 9 [size =\"37772288\"]\n  7 -> 10 [size =\"37772288\"]\n  8 [size=\"96227328\", alpha=\"0.18\", expect_size=\"48113664\"] \n  9 [size=\"68114432\", alpha=\"0.10\", expect_size=\"34057216\"] \n  9 -> 11 [size =\"34057216\"]\n  10 [size=\"28094464\", alpha=\"0.06\", expect_size=\"14047232\"] \n  11 [size=\"75339776\", alpha=\"0.17\", expect_size=\"37669888\"] \n  11 -> 12 [size =\"37669888\"]\n  11 -> 13 [size =\"37669888\"]\n  12 [size=\"37726208\", alpha=\"0.13\", expect_size=\"18863104\"] \n  12 -> 14 [size =\"18863104\"]\n  13 [size=\"34496512\", alpha=\"0.00\", expect_size=\"17248256\"] \n  13 -> 14 [size =\"17248256\"]\n  14 [size=\"12304384\", alpha=\"0.14\", expect_size=\"6152192\"] \n  14 -> 15 [size =\"6152192\"]\n  14 -> 16 [size =\"6152192\"]\n  15 [size=\"20963328\", alpha=\"0.05\", expect_size=\"10481664\"] \n  15 -> 17 [size =\"10481664\"]\n  16 [size=\"25282560\", alpha=\"0.17\", expect_size=\"12641280\"] \n  16 -> 17 [size =\"12641280\"]\n  17 [size=\"98433024\", alpha=\"0.20\", expect_size=\"49216512\"] \n  17 -> 18 [size =\"49216512\"]\n  17 -> 19 [size =\"49216512\"]\n  18 [size=\"74135552\", alpha=\"0.02\", expect_size=\"37067776\"] \n  18 -> 21 [size =\"37067776\"]\n  19 [size=\"64051200\", alpha=\"0.14\", expect_size=\"32025600\"] \n  19 -> 20 [size =\"32025600\"]\n  20 [size=\"15341568\", alpha=\"0.12\", expect_size=\"7670784\"] \n  21 [size=\"45283328\", alpha=\"0.09\", expect_size=\"22641664\"] \n  21 -> 22 [size =\"22641664\"]\n  22 [size=\"28901376\", alpha=\"0.03\", expect_size=\"14450688\"] \n  22 -> 23 [size =\"14450688\"]\n  22 -> 24 [size =\"14450688\"]\n  23 [size=\"92278784\", alpha=\"0.11\", expect_size=\"46139392\"] \n  23 -> 25 [size =\"46139392\"]\n  24 [size=\"93661184\", alpha=\"0.19\", expect_size=\"46830592\"] \n  24 -> 25 [size =\"46830592\"]\n  25 [size=\"64888832\", alpha=\"0.10\", expect_size=\"32444416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20585813\", alpha=\"0.17\", expect_size=\"6175744\"] \n  1 -> 21 [size =\"6175744\"]\n  1 -> 24 [size =\"6175744\"]\n  2 [size=\"43847680\", alpha=\"0.15\", expect_size=\"13154304\"] \n  2 -> 22 [size =\"13154304\"]\n  2 -> 23 [size =\"13154304\"]\n  3 [size=\"67997013\", alpha=\"0.02\", expect_size=\"20399104\"] \n  3 -> 23 [size =\"20399104\"]\n  4 [size=\"81858560\", alpha=\"0.19\", expect_size=\"24557568\"] \n  4 -> 24 [size =\"24557568\"]\n  5 [size=\"95361707\", alpha=\"0.08\", expect_size=\"28608512\"] \n  5 -> 22 [size =\"28608512\"]\n  5 -> 25 [size =\"28608512\"]\n  6 [size=\"118667947\", alpha=\"0.04\", expect_size=\"35600384\"] \n  6 -> 22 [size =\"35600384\"]\n  6 -> 25 [size =\"35600384\"]\n  7 [size=\"37345280\", alpha=\"0.05\", expect_size=\"11203584\"] \n  7 -> 22 [size =\"11203584\"]\n  8 [size=\"100174507\", alpha=\"0.03\", expect_size=\"30052352\"] \n  8 -> 22 [size =\"30052352\"]\n  8 -> 24 [size =\"30052352\"]\n  9 [size=\"101372587\", alpha=\"0.06\", expect_size=\"30411776\"] \n  9 -> 24 [size =\"30411776\"]\n  9 -> 25 [size =\"30411776\"]\n  10 [size=\"127511893\", alpha=\"0.20\", expect_size=\"38253568\"] \n  10 -> 24 [size =\"38253568\"]\n  10 -> 25 [size =\"38253568\"]\n  11 [size=\"136994133\", alpha=\"0.05\", expect_size=\"41098240\"] \n  11 -> 22 [size =\"41098240\"]\n  11 -> 24 [size =\"41098240\"]\n  12 [size=\"112011947\", alpha=\"0.08\", expect_size=\"33603584\"] \n  12 -> 21 [size =\"33603584\"]\n  12 -> 22 [size =\"33603584\"]\n  12 -> 24 [size =\"33603584\"]\n  13 [size=\"72287573\", alpha=\"0.12\", expect_size=\"21686272\"] \n  13 -> 22 [size =\"21686272\"]\n  14 [size=\"90818560\", alpha=\"0.14\", expect_size=\"27245568\"] \n  14 -> 23 [size =\"27245568\"]\n  14 -> 24 [size =\"27245568\"]\n  15 [size=\"82438827\", alpha=\"0.02\", expect_size=\"24731648\"] \n  15 -> 23 [size =\"24731648\"]\n  15 -> 25 [size =\"24731648\"]\n  16 [size=\"142844587\", alpha=\"0.06\", expect_size=\"42853376\"] \n  16 -> 24 [size =\"42853376\"]\n  17 [size=\"171622400\", alpha=\"0.03\", expect_size=\"51486720\"] \n  17 -> 21 [size =\"51486720\"]\n  17 -> 24 [size =\"51486720\"]\n  18 [size=\"56125440\", alpha=\"0.12\", expect_size=\"16837632\"] \n  18 -> 21 [size =\"16837632\"]\n  18 -> 22 [size =\"16837632\"]\n  19 [size=\"81220267\", alpha=\"0.04\", expect_size=\"24366080\"] \n  19 -> 21 [size =\"24366080\"]\n  19 -> 24 [size =\"24366080\"]\n  20 [size=\"125405867\", alpha=\"0.05\", expect_size=\"37621760\"] \n  20 -> 24 [size =\"37621760\"]\n  21 [size=\"124951893\", alpha=\"0.06\", expect_size=\"37485568\"] \n  22 [size=\"161693013\", alpha=\"0.11\", expect_size=\"48507904\"] \n  23 [size=\"69253120\", alpha=\"0.02\", expect_size=\"20775936\"] \n  24 [size=\"161536000\", alpha=\"0.01\", expect_size=\"48460800\"] \n  25 [size=\"117015893\", alpha=\"0.10\", expect_size=\"35104768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69443584\", alpha=\"0.14\", expect_size=\"34721792\"] \n  1 -> 20 [size =\"34721792\"]\n  1 -> 21 [size =\"34721792\"]\n  1 -> 22 [size =\"34721792\"]\n  1 -> 24 [size =\"34721792\"]\n  2 [size=\"20760576\", alpha=\"0.17\", expect_size=\"10380288\"] \n  2 -> 20 [size =\"10380288\"]\n  2 -> 21 [size =\"10380288\"]\n  3 [size=\"51220480\", alpha=\"0.03\", expect_size=\"25610240\"] \n  3 -> 23 [size =\"25610240\"]\n  3 -> 24 [size =\"25610240\"]\n  3 -> 25 [size =\"25610240\"]\n  4 [size=\"79605760\", alpha=\"0.11\", expect_size=\"39802880\"] \n  4 -> 20 [size =\"39802880\"]\n  4 -> 21 [size =\"39802880\"]\n  4 -> 22 [size =\"39802880\"]\n  4 -> 23 [size =\"39802880\"]\n  4 -> 24 [size =\"39802880\"]\n  5 [size=\"102735872\", alpha=\"0.05\", expect_size=\"51367936\"] \n  5 -> 20 [size =\"51367936\"]\n  5 -> 21 [size =\"51367936\"]\n  5 -> 22 [size =\"51367936\"]\n  5 -> 23 [size =\"51367936\"]\n  5 -> 24 [size =\"51367936\"]\n  6 [size=\"73791488\", alpha=\"0.00\", expect_size=\"36895744\"] \n  6 -> 21 [size =\"36895744\"]\n  6 -> 22 [size =\"36895744\"]\n  6 -> 23 [size =\"36895744\"]\n  6 -> 23 [size =\"36895744\"]\n  6 -> 24 [size =\"36895744\"]\n  7 [size=\"35934208\", alpha=\"0.13\", expect_size=\"17967104\"] \n  7 -> 20 [size =\"17967104\"]\n  7 -> 21 [size =\"17967104\"]\n  8 [size=\"82804736\", alpha=\"0.02\", expect_size=\"41402368\"] \n  8 -> 20 [size =\"41402368\"]\n  8 -> 21 [size =\"41402368\"]\n  8 -> 22 [size =\"41402368\"]\n  9 [size=\"53032960\", alpha=\"0.19\", expect_size=\"26516480\"] \n  9 -> 21 [size =\"26516480\"]\n  10 [size=\"41129984\", alpha=\"0.18\", expect_size=\"20564992\"] \n  10 -> 20 [size =\"20564992\"]\n  11 [size=\"77547520\", alpha=\"0.05\", expect_size=\"38773760\"] \n  11 -> 20 [size =\"38773760\"]\n  11 -> 22 [size =\"38773760\"]\n  11 -> 25 [size =\"38773760\"]\n  12 [size=\"50044928\", alpha=\"0.03\", expect_size=\"25022464\"] \n  12 -> 20 [size =\"25022464\"]\n  12 -> 21 [size =\"25022464\"]\n  12 -> 22 [size =\"25022464\"]\n  12 -> 23 [size =\"25022464\"]\n  12 -> 25 [size =\"25022464\"]\n  13 [size=\"34639872\", alpha=\"0.10\", expect_size=\"17319936\"] \n  13 -> 21 [size =\"17319936\"]\n  13 -> 23 [size =\"17319936\"]\n  13 -> 25 [size =\"17319936\"]\n  14 [size=\"47466496\", alpha=\"0.09\", expect_size=\"23733248\"] \n  14 -> 21 [size =\"23733248\"]\n  14 -> 22 [size =\"23733248\"]\n  14 -> 23 [size =\"23733248\"]\n  14 -> 24 [size =\"23733248\"]\n  14 -> 25 [size =\"23733248\"]\n  15 [size=\"99309568\", alpha=\"0.15\", expect_size=\"49654784\"] \n  15 -> 21 [size =\"49654784\"]\n  15 -> 22 [size =\"49654784\"]\n  16 [size=\"28180480\", alpha=\"0.07\", expect_size=\"14090240\"] \n  16 -> 20 [size =\"14090240\"]\n  16 -> 21 [size =\"14090240\"]\n  16 -> 22 [size =\"14090240\"]\n  16 -> 23 [size =\"14090240\"]\n  17 [size=\"28708864\", alpha=\"0.16\", expect_size=\"14354432\"] \n  17 -> 21 [size =\"14354432\"]\n  17 -> 21 [size =\"14354432\"]\n  17 -> 22 [size =\"14354432\"]\n  17 -> 24 [size =\"14354432\"]\n  18 [size=\"91959296\", alpha=\"0.04\", expect_size=\"45979648\"] \n  18 -> 21 [size =\"45979648\"]\n  18 -> 22 [size =\"45979648\"]\n  18 -> 23 [size =\"45979648\"]\n  18 -> 25 [size =\"45979648\"]\n  19 [size=\"103000064\", alpha=\"0.04\", expect_size=\"51500032\"] \n  19 -> 21 [size =\"51500032\"]\n  19 -> 22 [size =\"51500032\"]\n  19 -> 23 [size =\"51500032\"]\n  19 -> 24 [size =\"51500032\"]\n  19 -> 25 [size =\"51500032\"]\n  20 [size=\"99676160\", alpha=\"0.09\", expect_size=\"49838080\"] \n  21 [size=\"90013696\", alpha=\"0.07\", expect_size=\"45006848\"] \n  22 [size=\"21516288\", alpha=\"0.08\", expect_size=\"10758144\"] \n  23 [size=\"38012928\", alpha=\"0.16\", expect_size=\"19006464\"] \n  24 [size=\"86941696\", alpha=\"0.20\", expect_size=\"43470848\"] \n  25 [size=\"35147776\", alpha=\"0.03\", expect_size=\"17573888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24838144\", alpha=\"0.15\", expect_size=\"12419072\"] \n  1 -> 3 [size =\"12419072\"]\n  1 -> 4 [size =\"12419072\"]\n  2 [size=\"71811072\", alpha=\"0.14\", expect_size=\"35905536\"] \n  2 -> 3 [size =\"35905536\"]\n  2 -> 4 [size =\"35905536\"]\n  3 [size=\"67688448\", alpha=\"0.10\", expect_size=\"33844224\"] \n  3 -> 5 [size =\"33844224\"]\n  3 -> 6 [size =\"33844224\"]\n  4 [size=\"41216000\", alpha=\"0.01\", expect_size=\"20608000\"] \n  4 -> 5 [size =\"20608000\"]\n  5 [size=\"64458752\", alpha=\"0.07\", expect_size=\"32229376\"] \n  5 -> 7 [size =\"32229376\"]\n  5 -> 8 [size =\"32229376\"]\n  6 [size=\"17223680\", alpha=\"0.07\", expect_size=\"8611840\"] \n  6 -> 8 [size =\"8611840\"]\n  6 -> 9 [size =\"8611840\"]\n  6 -> 10 [size =\"8611840\"]\n  7 [size=\"24199168\", alpha=\"0.10\", expect_size=\"12099584\"] \n  7 -> 12 [size =\"12099584\"]\n  8 [size=\"38281216\", alpha=\"0.15\", expect_size=\"19140608\"] \n  9 [size=\"87011328\", alpha=\"0.16\", expect_size=\"43505664\"] \n  9 -> 11 [size =\"43505664\"]\n  10 [size=\"98539520\", alpha=\"0.16\", expect_size=\"49269760\"] \n  11 [size=\"99710976\", alpha=\"0.07\", expect_size=\"49855488\"] \n  11 -> 13 [size =\"49855488\"]\n  11 -> 14 [size =\"49855488\"]\n  12 [size=\"74663936\", alpha=\"0.07\", expect_size=\"37331968\"] \n  12 -> 14 [size =\"37331968\"]\n  13 [size=\"47255552\", alpha=\"0.11\", expect_size=\"23627776\"] \n  13 -> 15 [size =\"23627776\"]\n  13 -> 16 [size =\"23627776\"]\n  14 [size=\"93904896\", alpha=\"0.09\", expect_size=\"46952448\"] \n  14 -> 15 [size =\"46952448\"]\n  14 -> 16 [size =\"46952448\"]\n  15 [size=\"100808704\", alpha=\"0.09\", expect_size=\"50404352\"] \n  15 -> 18 [size =\"50404352\"]\n  15 -> 19 [size =\"50404352\"]\n  15 -> 20 [size =\"50404352\"]\n  15 -> 21 [size =\"50404352\"]\n  16 [size=\"40689664\", alpha=\"0.16\", expect_size=\"20344832\"] \n  16 -> 17 [size =\"20344832\"]\n  16 -> 18 [size =\"20344832\"]\n  16 -> 19 [size =\"20344832\"]\n  16 -> 20 [size =\"20344832\"]\n  16 -> 21 [size =\"20344832\"]\n  17 [size=\"74235904\", alpha=\"0.05\", expect_size=\"37117952\"] \n  17 -> 22 [size =\"37117952\"]\n  17 -> 23 [size =\"37117952\"]\n  18 [size=\"27377664\", alpha=\"0.18\", expect_size=\"13688832\"] \n  18 -> 22 [size =\"13688832\"]\n  18 -> 23 [size =\"13688832\"]\n  19 [size=\"96464896\", alpha=\"0.12\", expect_size=\"48232448\"] \n  19 -> 22 [size =\"48232448\"]\n  19 -> 23 [size =\"48232448\"]\n  20 [size=\"75773952\", alpha=\"0.05\", expect_size=\"37886976\"] \n  20 -> 22 [size =\"37886976\"]\n  20 -> 23 [size =\"37886976\"]\n  21 [size=\"58884096\", alpha=\"0.01\", expect_size=\"29442048\"] \n  21 -> 22 [size =\"29442048\"]\n  21 -> 23 [size =\"29442048\"]\n  22 [size=\"94201856\", alpha=\"0.11\", expect_size=\"47100928\"] \n  22 -> 24 [size =\"47100928\"]\n  22 -> 25 [size =\"47100928\"]\n  23 [size=\"31092736\", alpha=\"0.12\", expect_size=\"15546368\"] \n  23 -> 24 [size =\"15546368\"]\n  23 -> 25 [size =\"15546368\"]\n  24 [size=\"80732160\", alpha=\"0.19\", expect_size=\"40366080\"] \n  25 [size=\"27385856\", alpha=\"0.19\", expect_size=\"13692928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43130880\", alpha=\"0.00\", expect_size=\"12939264\"] \n  1 -> 12 [size =\"12939264\"]\n  1 -> 13 [size =\"12939264\"]\n  1 -> 16 [size =\"12939264\"]\n  1 -> 17 [size =\"12939264\"]\n  2 [size=\"72867840\", alpha=\"0.13\", expect_size=\"21860352\"] \n  2 -> 13 [size =\"21860352\"]\n  2 -> 13 [size =\"21860352\"]\n  2 -> 14 [size =\"21860352\"]\n  2 -> 15 [size =\"21860352\"]\n  2 -> 16 [size =\"21860352\"]\n  2 -> 17 [size =\"21860352\"]\n  3 [size=\"126231893\", alpha=\"0.18\", expect_size=\"37869568\"] \n  3 -> 12 [size =\"37869568\"]\n  3 -> 13 [size =\"37869568\"]\n  3 -> 15 [size =\"37869568\"]\n  3 -> 16 [size =\"37869568\"]\n  3 -> 17 [size =\"37869568\"]\n  4 [size=\"103837013\", alpha=\"0.19\", expect_size=\"31151104\"] \n  4 -> 12 [size =\"31151104\"]\n  4 -> 13 [size =\"31151104\"]\n  4 -> 17 [size =\"31151104\"]\n  5 [size=\"118664533\", alpha=\"0.05\", expect_size=\"35599360\"] \n  5 -> 12 [size =\"35599360\"]\n  5 -> 13 [size =\"35599360\"]\n  5 -> 17 [size =\"35599360\"]\n  6 [size=\"80165547\", alpha=\"0.12\", expect_size=\"24049664\"] \n  6 -> 12 [size =\"24049664\"]\n  6 -> 15 [size =\"24049664\"]\n  6 -> 16 [size =\"24049664\"]\n  6 -> 17 [size =\"24049664\"]\n  7 [size=\"128119467\", alpha=\"0.05\", expect_size=\"38435840\"] \n  7 -> 12 [size =\"38435840\"]\n  7 -> 14 [size =\"38435840\"]\n  7 -> 15 [size =\"38435840\"]\n  7 -> 16 [size =\"38435840\"]\n  7 -> 17 [size =\"38435840\"]\n  8 [size=\"72342187\", alpha=\"0.16\", expect_size=\"21702656\"] \n  8 -> 12 [size =\"21702656\"]\n  8 -> 13 [size =\"21702656\"]\n  8 -> 15 [size =\"21702656\"]\n  8 -> 16 [size =\"21702656\"]\n  9 [size=\"61358080\", alpha=\"0.02\", expect_size=\"18407424\"] \n  9 -> 12 [size =\"18407424\"]\n  9 -> 13 [size =\"18407424\"]\n  9 -> 14 [size =\"18407424\"]\n  9 -> 15 [size =\"18407424\"]\n  10 [size=\"60740267\", alpha=\"0.03\", expect_size=\"18222080\"] \n  10 -> 12 [size =\"18222080\"]\n  10 -> 13 [size =\"18222080\"]\n  10 -> 15 [size =\"18222080\"]\n  10 -> 17 [size =\"18222080\"]\n  11 [size=\"114578773\", alpha=\"0.12\", expect_size=\"34373632\"] \n  11 -> 13 [size =\"34373632\"]\n  11 -> 14 [size =\"34373632\"]\n  11 -> 16 [size =\"34373632\"]\n  11 -> 17 [size =\"34373632\"]\n  12 [size=\"114643627\", alpha=\"0.03\", expect_size=\"34393088\"] \n  12 -> 18 [size =\"34393088\"]\n  12 -> 19 [size =\"34393088\"]\n  12 -> 20 [size =\"34393088\"]\n  12 -> 22 [size =\"34393088\"]\n  12 -> 23 [size =\"34393088\"]\n  12 -> 24 [size =\"34393088\"]\n  12 -> 25 [size =\"34393088\"]\n  13 [size=\"61692587\", alpha=\"0.16\", expect_size=\"18507776\"] \n  13 -> 20 [size =\"18507776\"]\n  13 -> 21 [size =\"18507776\"]\n  13 -> 23 [size =\"18507776\"]\n  13 -> 24 [size =\"18507776\"]\n  13 -> 25 [size =\"18507776\"]\n  14 [size=\"44625920\", alpha=\"0.12\", expect_size=\"13387776\"] \n  14 -> 18 [size =\"13387776\"]\n  14 -> 19 [size =\"13387776\"]\n  14 -> 20 [size =\"13387776\"]\n  14 -> 21 [size =\"13387776\"]\n  14 -> 23 [size =\"13387776\"]\n  14 -> 24 [size =\"13387776\"]\n  14 -> 25 [size =\"13387776\"]\n  15 [size=\"37932373\", alpha=\"0.01\", expect_size=\"11379712\"] \n  15 -> 19 [size =\"11379712\"]\n  15 -> 19 [size =\"11379712\"]\n  15 -> 21 [size =\"11379712\"]\n  15 -> 21 [size =\"11379712\"]\n  15 -> 22 [size =\"11379712\"]\n  15 -> 23 [size =\"11379712\"]\n  15 -> 24 [size =\"11379712\"]\n  15 -> 25 [size =\"11379712\"]\n  16 [size=\"76267520\", alpha=\"0.15\", expect_size=\"22880256\"] \n  16 -> 19 [size =\"22880256\"]\n  16 -> 21 [size =\"22880256\"]\n  16 -> 22 [size =\"22880256\"]\n  16 -> 23 [size =\"22880256\"]\n  16 -> 24 [size =\"22880256\"]\n  16 -> 25 [size =\"22880256\"]\n  17 [size=\"167133867\", alpha=\"0.05\", expect_size=\"50140160\"] \n  17 -> 22 [size =\"50140160\"]\n  17 -> 23 [size =\"50140160\"]\n  17 -> 25 [size =\"50140160\"]\n  18 [size=\"52722347\", alpha=\"0.16\", expect_size=\"15816704\"] \n  19 [size=\"23685120\", alpha=\"0.03\", expect_size=\"7105536\"] \n  20 [size=\"40963413\", alpha=\"0.07\", expect_size=\"12289024\"] \n  21 [size=\"65041067\", alpha=\"0.15\", expect_size=\"19512320\"] \n  22 [size=\"159989760\", alpha=\"0.10\", expect_size=\"47996928\"] \n  23 [size=\"22756693\", alpha=\"0.19\", expect_size=\"6827008\"] \n  24 [size=\"150077440\", alpha=\"0.19\", expect_size=\"45023232\"] \n  25 [size=\"83343360\", alpha=\"0.11\", expect_size=\"25003008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35365547\", alpha=\"0.17\", expect_size=\"10609664\"] \n  1 -> 4 [size =\"10609664\"]\n  1 -> 5 [size =\"10609664\"]\n  1 -> 6 [size =\"10609664\"]\n  1 -> 7 [size =\"10609664\"]\n  2 [size=\"49097387\", alpha=\"0.17\", expect_size=\"14729216\"] \n  2 -> 3 [size =\"14729216\"]\n  2 -> 5 [size =\"14729216\"]\n  2 -> 6 [size =\"14729216\"]\n  2 -> 7 [size =\"14729216\"]\n  3 [size=\"154337280\", alpha=\"0.01\", expect_size=\"46301184\"] \n  3 -> 8 [size =\"46301184\"]\n  3 -> 10 [size =\"46301184\"]\n  3 -> 11 [size =\"46301184\"]\n  4 [size=\"150903467\", alpha=\"0.16\", expect_size=\"45271040\"] \n  4 -> 11 [size =\"45271040\"]\n  4 -> 12 [size =\"45271040\"]\n  5 [size=\"94832640\", alpha=\"0.06\", expect_size=\"28449792\"] \n  5 -> 8 [size =\"28449792\"]\n  6 [size=\"81285120\", alpha=\"0.16\", expect_size=\"24385536\"] \n  6 -> 9 [size =\"24385536\"]\n  6 -> 11 [size =\"24385536\"]\n  7 [size=\"19916800\", alpha=\"0.13\", expect_size=\"5975040\"] \n  7 -> 8 [size =\"5975040\"]\n  7 -> 11 [size =\"5975040\"]\n  8 [size=\"24958293\", alpha=\"0.00\", expect_size=\"7487488\"] \n  8 -> 15 [size =\"7487488\"]\n  8 -> 16 [size =\"7487488\"]\n  8 -> 17 [size =\"7487488\"]\n  9 [size=\"38942720\", alpha=\"0.19\", expect_size=\"11682816\"] \n  9 -> 13 [size =\"11682816\"]\n  9 -> 14 [size =\"11682816\"]\n  9 -> 17 [size =\"11682816\"]\n  10 [size=\"165434027\", alpha=\"0.08\", expect_size=\"49630208\"] \n  10 -> 13 [size =\"49630208\"]\n  10 -> 17 [size =\"49630208\"]\n  11 [size=\"19971413\", alpha=\"0.03\", expect_size=\"5991424\"] \n  11 -> 15 [size =\"5991424\"]\n  11 -> 16 [size =\"5991424\"]\n  12 [size=\"155521707\", alpha=\"0.18\", expect_size=\"46656512\"] \n  12 -> 15 [size =\"46656512\"]\n  12 -> 17 [size =\"46656512\"]\n  13 [size=\"132355413\", alpha=\"0.06\", expect_size=\"39706624\"] \n  14 [size=\"142359893\", alpha=\"0.12\", expect_size=\"42707968\"] \n  14 -> 18 [size =\"42707968\"]\n  15 [size=\"108701013\", alpha=\"0.16\", expect_size=\"32610304\"] \n  15 -> 19 [size =\"32610304\"]\n  16 [size=\"157897387\", alpha=\"0.06\", expect_size=\"47369216\"] \n  16 -> 18 [size =\"47369216\"]\n  16 -> 20 [size =\"47369216\"]\n  17 [size=\"127798613\", alpha=\"0.11\", expect_size=\"38339584\"] \n  18 [size=\"75929600\", alpha=\"0.16\", expect_size=\"22778880\"] \n  19 [size=\"76991147\", alpha=\"0.18\", expect_size=\"23097344\"] \n  19 -> 21 [size =\"23097344\"]\n  19 -> 22 [size =\"23097344\"]\n  19 -> 23 [size =\"23097344\"]\n  20 [size=\"69676373\", alpha=\"0.06\", expect_size=\"20902912\"] \n  20 -> 22 [size =\"20902912\"]\n  20 -> 23 [size =\"20902912\"]\n  21 [size=\"131717120\", alpha=\"0.17\", expect_size=\"39515136\"] \n  22 [size=\"158044160\", alpha=\"0.12\", expect_size=\"47413248\"] \n  23 [size=\"139325440\", alpha=\"0.04\", expect_size=\"41797632\"] \n  23 -> 24 [size =\"41797632\"]\n  23 -> 25 [size =\"41797632\"]\n  24 [size=\"32303787\", alpha=\"0.13\", expect_size=\"9691136\"] \n  25 [size=\"125013333\", alpha=\"0.12\", expect_size=\"37504000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105971200\", alpha=\"0.18\", expect_size=\"42388480\"] \n  1 -> 3 [size =\"42388480\"]\n  2 [size=\"104816640\", alpha=\"0.15\", expect_size=\"41926656\"] \n  3 [size=\"64250880\", alpha=\"0.00\", expect_size=\"25700352\"] \n  3 -> 4 [size =\"25700352\"]\n  3 -> 5 [size =\"25700352\"]\n  4 [size=\"93795840\", alpha=\"0.04\", expect_size=\"37518336\"] \n  5 [size=\"69734400\", alpha=\"0.15\", expect_size=\"27893760\"] \n  5 -> 6 [size =\"27893760\"]\n  6 [size=\"120801280\", alpha=\"0.02\", expect_size=\"48320512\"] \n  6 -> 7 [size =\"48320512\"]\n  6 -> 8 [size =\"48320512\"]\n  7 [size=\"36275200\", alpha=\"0.19\", expect_size=\"14510080\"] \n  8 [size=\"97006080\", alpha=\"0.20\", expect_size=\"38802432\"] \n  8 -> 9 [size =\"38802432\"]\n  9 [size=\"113034240\", alpha=\"0.08\", expect_size=\"45213696\"] \n  9 -> 10 [size =\"45213696\"]\n  10 [size=\"49305600\", alpha=\"0.13\", expect_size=\"19722240\"] \n  10 -> 11 [size =\"19722240\"]\n  11 [size=\"125396480\", alpha=\"0.10\", expect_size=\"50158592\"] \n  11 -> 12 [size =\"50158592\"]\n  11 -> 13 [size =\"50158592\"]\n  12 [size=\"112273920\", alpha=\"0.14\", expect_size=\"44909568\"] \n  12 -> 14 [size =\"44909568\"]\n  13 [size=\"80343040\", alpha=\"0.17\", expect_size=\"32137216\"] \n  13 -> 15 [size =\"32137216\"]\n  14 [size=\"82173440\", alpha=\"0.13\", expect_size=\"32869376\"] \n  15 [size=\"103941120\", alpha=\"0.13\", expect_size=\"41576448\"] \n  15 -> 16 [size =\"41576448\"]\n  16 [size=\"71659520\", alpha=\"0.06\", expect_size=\"28663808\"] \n  16 -> 17 [size =\"28663808\"]\n  17 [size=\"83082240\", alpha=\"0.03\", expect_size=\"33232896\"] \n  17 -> 18 [size =\"33232896\"]\n  18 [size=\"79114240\", alpha=\"0.05\", expect_size=\"31645696\"] \n  18 -> 19 [size =\"31645696\"]\n  19 [size=\"77537280\", alpha=\"0.15\", expect_size=\"31014912\"] \n  19 -> 20 [size =\"31014912\"]\n  20 [size=\"123325440\", alpha=\"0.09\", expect_size=\"49330176\"] \n  20 -> 21 [size =\"49330176\"]\n  21 [size=\"83499520\", alpha=\"0.19\", expect_size=\"33399808\"] \n  21 -> 22 [size =\"33399808\"]\n  22 [size=\"24273920\", alpha=\"0.05\", expect_size=\"9709568\"] \n  22 -> 23 [size =\"9709568\"]\n  23 [size=\"108915200\", alpha=\"0.19\", expect_size=\"43566080\"] \n  23 -> 24 [size =\"43566080\"]\n  23 -> 25 [size =\"43566080\"]\n  24 [size=\"88555520\", alpha=\"0.07\", expect_size=\"35422208\"] \n  25 [size=\"46062080\", alpha=\"0.04\", expect_size=\"18424832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32645120\", alpha=\"0.14\", expect_size=\"16322560\"] \n  1 -> 2 [size =\"16322560\"]\n  2 [size=\"92248064\", alpha=\"0.02\", expect_size=\"46124032\"] \n  2 -> 3 [size =\"46124032\"]\n  3 [size=\"40904704\", alpha=\"0.04\", expect_size=\"20452352\"] \n  3 -> 4 [size =\"20452352\"]\n  4 [size=\"61319168\", alpha=\"0.15\", expect_size=\"30659584\"] \n  4 -> 5 [size =\"30659584\"]\n  5 [size=\"63291392\", alpha=\"0.15\", expect_size=\"31645696\"] \n  5 -> 6 [size =\"31645696\"]\n  6 [size=\"13056000\", alpha=\"0.17\", expect_size=\"6528000\"] \n  6 -> 7 [size =\"6528000\"]\n  7 [size=\"53258240\", alpha=\"0.12\", expect_size=\"26629120\"] \n  7 -> 8 [size =\"26629120\"]\n  8 [size=\"92565504\", alpha=\"0.02\", expect_size=\"46282752\"] \n  8 -> 9 [size =\"46282752\"]\n  9 [size=\"66203648\", alpha=\"0.07\", expect_size=\"33101824\"] \n  9 -> 10 [size =\"33101824\"]\n  10 [size=\"37443584\", alpha=\"0.04\", expect_size=\"18721792\"] \n  10 -> 11 [size =\"18721792\"]\n  11 [size=\"81854464\", alpha=\"0.05\", expect_size=\"40927232\"] \n  11 -> 12 [size =\"40927232\"]\n  12 [size=\"54149120\", alpha=\"0.16\", expect_size=\"27074560\"] \n  12 -> 13 [size =\"27074560\"]\n  13 [size=\"62414848\", alpha=\"0.10\", expect_size=\"31207424\"] \n  13 -> 14 [size =\"31207424\"]\n  14 [size=\"81883136\", alpha=\"0.09\", expect_size=\"40941568\"] \n  14 -> 15 [size =\"40941568\"]\n  15 [size=\"57878528\", alpha=\"0.17\", expect_size=\"28939264\"] \n  15 -> 16 [size =\"28939264\"]\n  16 [size=\"33046528\", alpha=\"0.19\", expect_size=\"16523264\"] \n  16 -> 17 [size =\"16523264\"]\n  17 [size=\"19200000\", alpha=\"0.05\", expect_size=\"9600000\"] \n  17 -> 18 [size =\"9600000\"]\n  18 [size=\"75544576\", alpha=\"0.13\", expect_size=\"37772288\"] \n  18 -> 19 [size =\"37772288\"]\n  19 [size=\"83746816\", alpha=\"0.09\", expect_size=\"41873408\"] \n  19 -> 20 [size =\"41873408\"]\n  20 [size=\"21708800\", alpha=\"0.11\", expect_size=\"10854400\"] \n  20 -> 21 [size =\"10854400\"]\n  21 [size=\"38754304\", alpha=\"0.18\", expect_size=\"19377152\"] \n  21 -> 22 [size =\"19377152\"]\n  22 [size=\"60065792\", alpha=\"0.03\", expect_size=\"30032896\"] \n  22 -> 23 [size =\"30032896\"]\n  23 [size=\"43311104\", alpha=\"0.13\", expect_size=\"21655552\"] \n  23 -> 24 [size =\"21655552\"]\n  24 [size=\"91846656\", alpha=\"0.15\", expect_size=\"45923328\"] \n  24 -> 25 [size =\"45923328\"]\n  25 [size=\"38864896\", alpha=\"0.08\", expect_size=\"19432448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94655147\", alpha=\"0.15\", expect_size=\"28396544\"] \n  2 [size=\"73472000\", alpha=\"0.01\", expect_size=\"22041600\"] \n  2 -> 5 [size =\"22041600\"]\n  3 [size=\"80186027\", alpha=\"0.11\", expect_size=\"24055808\"] \n  3 -> 5 [size =\"24055808\"]\n  4 [size=\"146315947\", alpha=\"0.13\", expect_size=\"43894784\"] \n  4 -> 6 [size =\"43894784\"]\n  5 [size=\"96040960\", alpha=\"0.14\", expect_size=\"28812288\"] \n  5 -> 8 [size =\"28812288\"]\n  6 [size=\"93651627\", alpha=\"0.18\", expect_size=\"28095488\"] \n  6 -> 7 [size =\"28095488\"]\n  7 [size=\"104905387\", alpha=\"0.18\", expect_size=\"31471616\"] \n  7 -> 10 [size =\"31471616\"]\n  7 -> 12 [size =\"31471616\"]\n  8 [size=\"91576320\", alpha=\"0.08\", expect_size=\"27472896\"] \n  8 -> 9 [size =\"27472896\"]\n  8 -> 11 [size =\"27472896\"]\n  9 [size=\"94303573\", alpha=\"0.20\", expect_size=\"28291072\"] \n  9 -> 16 [size =\"28291072\"]\n  10 [size=\"23476907\", alpha=\"0.10\", expect_size=\"7043072\"] \n  11 [size=\"147428693\", alpha=\"0.14\", expect_size=\"44228608\"] \n  11 -> 13 [size =\"44228608\"]\n  11 -> 15 [size =\"44228608\"]\n  12 [size=\"105274027\", alpha=\"0.13\", expect_size=\"31582208\"] \n  12 -> 14 [size =\"31582208\"]\n  12 -> 15 [size =\"31582208\"]\n  13 [size=\"116125013\", alpha=\"0.01\", expect_size=\"34837504\"] \n  13 -> 17 [size =\"34837504\"]\n  13 -> 18 [size =\"34837504\"]\n  14 [size=\"47704747\", alpha=\"0.02\", expect_size=\"14311424\"] \n  14 -> 17 [size =\"14311424\"]\n  14 -> 19 [size =\"14311424\"]\n  15 [size=\"146435413\", alpha=\"0.13\", expect_size=\"43930624\"] \n  15 -> 18 [size =\"43930624\"]\n  16 [size=\"99792213\", alpha=\"0.17\", expect_size=\"29937664\"] \n  17 [size=\"86722560\", alpha=\"0.06\", expect_size=\"26016768\"] \n  17 -> 20 [size =\"26016768\"]\n  17 -> 21 [size =\"26016768\"]\n  17 -> 22 [size =\"26016768\"]\n  18 [size=\"70853973\", alpha=\"0.05\", expect_size=\"21256192\"] \n  18 -> 22 [size =\"21256192\"]\n  18 -> 23 [size =\"21256192\"]\n  19 [size=\"136639147\", alpha=\"0.07\", expect_size=\"40991744\"] \n  19 -> 20 [size =\"40991744\"]\n  20 [size=\"136495787\", alpha=\"0.16\", expect_size=\"40948736\"] \n  20 -> 24 [size =\"40948736\"]\n  21 [size=\"60047360\", alpha=\"0.14\", expect_size=\"18014208\"] \n  21 -> 24 [size =\"18014208\"]\n  22 [size=\"171622400\", alpha=\"0.20\", expect_size=\"51486720\"] \n  23 [size=\"118374400\", alpha=\"0.13\", expect_size=\"35512320\"] \n  23 -> 25 [size =\"35512320\"]\n  24 [size=\"127317333\", alpha=\"0.03\", expect_size=\"38195200\"] \n  25 [size=\"144312320\", alpha=\"0.03\", expect_size=\"43293696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53585920\", alpha=\"0.19\", expect_size=\"21434368\"] \n  1 -> 3 [size =\"21434368\"]\n  2 [size=\"88483840\", alpha=\"0.12\", expect_size=\"35393536\"] \n  3 [size=\"39104000\", alpha=\"0.07\", expect_size=\"15641600\"] \n  3 -> 4 [size =\"15641600\"]\n  4 [size=\"127306240\", alpha=\"0.11\", expect_size=\"50922496\"] \n  4 -> 5 [size =\"50922496\"]\n  4 -> 6 [size =\"50922496\"]\n  5 [size=\"82700800\", alpha=\"0.06\", expect_size=\"33080320\"] \n  5 -> 8 [size =\"33080320\"]\n  6 [size=\"122992640\", alpha=\"0.00\", expect_size=\"49197056\"] \n  6 -> 7 [size =\"49197056\"]\n  7 [size=\"112995840\", alpha=\"0.15\", expect_size=\"45198336\"] \n  7 -> 9 [size =\"45198336\"]\n  8 [size=\"98240000\", alpha=\"0.02\", expect_size=\"39296000\"] \n  8 -> 10 [size =\"39296000\"]\n  9 [size=\"127357440\", alpha=\"0.07\", expect_size=\"50942976\"] \n  9 -> 11 [size =\"50942976\"]\n  10 [size=\"88117760\", alpha=\"0.13\", expect_size=\"35247104\"] \n  10 -> 12 [size =\"35247104\"]\n  11 [size=\"19891200\", alpha=\"0.02\", expect_size=\"7956480\"] \n  12 [size=\"13184000\", alpha=\"0.14\", expect_size=\"5273600\"] \n  12 -> 13 [size =\"5273600\"]\n  12 -> 14 [size =\"5273600\"]\n  13 [size=\"83816960\", alpha=\"0.17\", expect_size=\"33526784\"] \n  13 -> 15 [size =\"33526784\"]\n  13 -> 16 [size =\"33526784\"]\n  14 [size=\"126602240\", alpha=\"0.04\", expect_size=\"50640896\"] \n  15 [size=\"75668480\", alpha=\"0.17\", expect_size=\"30267392\"] \n  16 [size=\"111106560\", alpha=\"0.16\", expect_size=\"44442624\"] \n  16 -> 17 [size =\"44442624\"]\n  17 [size=\"113105920\", alpha=\"0.09\", expect_size=\"45242368\"] \n  17 -> 18 [size =\"45242368\"]\n  18 [size=\"83443200\", alpha=\"0.15\", expect_size=\"33377280\"] \n  18 -> 19 [size =\"33377280\"]\n  19 [size=\"96064000\", alpha=\"0.05\", expect_size=\"38425600\"] \n  19 -> 20 [size =\"38425600\"]\n  20 [size=\"19901440\", alpha=\"0.01\", expect_size=\"7960576\"] \n  20 -> 21 [size =\"7960576\"]\n  20 -> 22 [size =\"7960576\"]\n  21 [size=\"97804800\", alpha=\"0.05\", expect_size=\"39121920\"] \n  22 [size=\"108198400\", alpha=\"0.01\", expect_size=\"43279360\"] \n  22 -> 23 [size =\"43279360\"]\n  23 [size=\"73523200\", alpha=\"0.02\", expect_size=\"29409280\"] \n  23 -> 24 [size =\"29409280\"]\n  24 [size=\"58065920\", alpha=\"0.03\", expect_size=\"23226368\"] \n  24 -> 25 [size =\"23226368\"]\n  25 [size=\"79918080\", alpha=\"0.15\", expect_size=\"31967232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91455488\", alpha=\"0.16\", expect_size=\"45727744\"] \n  1 -> 21 [size =\"45727744\"]\n  1 -> 22 [size =\"45727744\"]\n  1 -> 23 [size =\"45727744\"]\n  2 [size=\"76138496\", alpha=\"0.09\", expect_size=\"38069248\"] \n  2 -> 22 [size =\"38069248\"]\n  2 -> 23 [size =\"38069248\"]\n  2 -> 25 [size =\"38069248\"]\n  3 [size=\"29616128\", alpha=\"0.05\", expect_size=\"14808064\"] \n  3 -> 22 [size =\"14808064\"]\n  4 [size=\"56905728\", alpha=\"0.15\", expect_size=\"28452864\"] \n  4 -> 25 [size =\"28452864\"]\n  5 [size=\"90820608\", alpha=\"0.06\", expect_size=\"45410304\"] \n  5 -> 22 [size =\"45410304\"]\n  5 -> 23 [size =\"45410304\"]\n  5 -> 25 [size =\"45410304\"]\n  6 [size=\"44443648\", alpha=\"0.05\", expect_size=\"22221824\"] \n  6 -> 23 [size =\"22221824\"]\n  7 [size=\"35926016\", alpha=\"0.20\", expect_size=\"17963008\"] \n  7 -> 20 [size =\"17963008\"]\n  7 -> 21 [size =\"17963008\"]\n  7 -> 22 [size =\"17963008\"]\n  7 -> 23 [size =\"17963008\"]\n  8 [size=\"99747840\", alpha=\"0.06\", expect_size=\"49873920\"] \n  8 -> 22 [size =\"49873920\"]\n  8 -> 23 [size =\"49873920\"]\n  9 [size=\"45191168\", alpha=\"0.05\", expect_size=\"22595584\"] \n  9 -> 21 [size =\"22595584\"]\n  9 -> 22 [size =\"22595584\"]\n  9 -> 23 [size =\"22595584\"]\n  10 [size=\"28813312\", alpha=\"0.04\", expect_size=\"14406656\"] \n  10 -> 22 [size =\"14406656\"]\n  10 -> 23 [size =\"14406656\"]\n  11 [size=\"91435008\", alpha=\"0.11\", expect_size=\"45717504\"] \n  11 -> 21 [size =\"45717504\"]\n  11 -> 22 [size =\"45717504\"]\n  11 -> 23 [size =\"45717504\"]\n  12 [size=\"70535168\", alpha=\"0.20\", expect_size=\"35267584\"] \n  12 -> 21 [size =\"35267584\"]\n  12 -> 23 [size =\"35267584\"]\n  12 -> 24 [size =\"35267584\"]\n  13 [size=\"19525632\", alpha=\"0.00\", expect_size=\"9762816\"] \n  13 -> 22 [size =\"9762816\"]\n  13 -> 25 [size =\"9762816\"]\n  14 [size=\"44009472\", alpha=\"0.11\", expect_size=\"22004736\"] \n  14 -> 22 [size =\"22004736\"]\n  14 -> 24 [size =\"22004736\"]\n  14 -> 25 [size =\"22004736\"]\n  15 [size=\"21702656\", alpha=\"0.15\", expect_size=\"10851328\"] \n  15 -> 25 [size =\"10851328\"]\n  16 [size=\"47800320\", alpha=\"0.02\", expect_size=\"23900160\"] \n  16 -> 21 [size =\"23900160\"]\n  16 -> 25 [size =\"23900160\"]\n  17 [size=\"72079360\", alpha=\"0.06\", expect_size=\"36039680\"] \n  17 -> 20 [size =\"36039680\"]\n  17 -> 22 [size =\"36039680\"]\n  17 -> 25 [size =\"36039680\"]\n  18 [size=\"71454720\", alpha=\"0.08\", expect_size=\"35727360\"] \n  18 -> 22 [size =\"35727360\"]\n  18 -> 24 [size =\"35727360\"]\n  19 [size=\"100575232\", alpha=\"0.02\", expect_size=\"50287616\"] \n  19 -> 21 [size =\"50287616\"]\n  19 -> 22 [size =\"50287616\"]\n  20 [size=\"28712960\", alpha=\"0.10\", expect_size=\"14356480\"] \n  21 [size=\"46163968\", alpha=\"0.14\", expect_size=\"23081984\"] \n  22 [size=\"96997376\", alpha=\"0.13\", expect_size=\"48498688\"] \n  23 [size=\"95913984\", alpha=\"0.16\", expect_size=\"47956992\"] \n  24 [size=\"97030144\", alpha=\"0.09\", expect_size=\"48515072\"] \n  25 [size=\"55148544\", alpha=\"0.18\", expect_size=\"27574272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19176960\", alpha=\"0.14\", expect_size=\"7670784\"] \n  1 -> 4 [size =\"7670784\"]\n  1 -> 5 [size =\"7670784\"]\n  1 -> 7 [size =\"7670784\"]\n  2 [size=\"105192960\", alpha=\"0.17\", expect_size=\"42077184\"] \n  2 -> 5 [size =\"42077184\"]\n  3 [size=\"115706880\", alpha=\"0.13\", expect_size=\"46282752\"] \n  3 -> 4 [size =\"46282752\"]\n  3 -> 6 [size =\"46282752\"]\n  3 -> 7 [size =\"46282752\"]\n  4 [size=\"88926720\", alpha=\"0.04\", expect_size=\"35570688\"] \n  4 -> 9 [size =\"35570688\"]\n  5 [size=\"23065600\", alpha=\"0.07\", expect_size=\"9226240\"] \n  5 -> 8 [size =\"9226240\"]\n  5 -> 11 [size =\"9226240\"]\n  6 [size=\"60656640\", alpha=\"0.01\", expect_size=\"24262656\"] \n  6 -> 10 [size =\"24262656\"]\n  7 [size=\"104174080\", alpha=\"0.02\", expect_size=\"41669632\"] \n  7 -> 8 [size =\"41669632\"]\n  7 -> 9 [size =\"41669632\"]\n  8 [size=\"63741440\", alpha=\"0.03\", expect_size=\"25496576\"] \n  9 [size=\"83105280\", alpha=\"0.02\", expect_size=\"33242112\"] \n  9 -> 13 [size =\"33242112\"]\n  9 -> 14 [size =\"33242112\"]\n  10 [size=\"23554560\", alpha=\"0.15\", expect_size=\"9421824\"] \n  10 -> 12 [size =\"9421824\"]\n  11 [size=\"44016640\", alpha=\"0.11\", expect_size=\"17606656\"] \n  11 -> 12 [size =\"17606656\"]\n  11 -> 14 [size =\"17606656\"]\n  12 [size=\"125949440\", alpha=\"0.17\", expect_size=\"50379776\"] \n  12 -> 17 [size =\"50379776\"]\n  13 [size=\"108183040\", alpha=\"0.14\", expect_size=\"43273216\"] \n  13 -> 15 [size =\"43273216\"]\n  14 [size=\"65802240\", alpha=\"0.02\", expect_size=\"26320896\"] \n  14 -> 15 [size =\"26320896\"]\n  14 -> 16 [size =\"26320896\"]\n  14 -> 17 [size =\"26320896\"]\n  14 -> 18 [size =\"26320896\"]\n  15 [size=\"88929280\", alpha=\"0.10\", expect_size=\"35571712\"] \n  15 -> 22 [size =\"35571712\"]\n  16 [size=\"127784960\", alpha=\"0.04\", expect_size=\"51113984\"] \n  16 -> 19 [size =\"51113984\"]\n  16 -> 21 [size =\"51113984\"]\n  16 -> 22 [size =\"51113984\"]\n  17 [size=\"18621440\", alpha=\"0.10\", expect_size=\"7448576\"] \n  17 -> 20 [size =\"7448576\"]\n  18 [size=\"29240320\", alpha=\"0.17\", expect_size=\"11696128\"] \n  18 -> 20 [size =\"11696128\"]\n  18 -> 21 [size =\"11696128\"]\n  19 [size=\"44034560\", alpha=\"0.03\", expect_size=\"17613824\"] \n  19 -> 23 [size =\"17613824\"]\n  20 [size=\"54740480\", alpha=\"0.03\", expect_size=\"21896192\"] \n  21 [size=\"22955520\", alpha=\"0.03\", expect_size=\"9182208\"] \n  21 -> 23 [size =\"9182208\"]\n  22 [size=\"87511040\", alpha=\"0.19\", expect_size=\"35004416\"] \n  22 -> 24 [size =\"35004416\"]\n  22 -> 25 [size =\"35004416\"]\n  23 [size=\"71756800\", alpha=\"0.13\", expect_size=\"28702720\"] \n  24 [size=\"36974080\", alpha=\"0.19\", expect_size=\"14789632\"] \n  25 [size=\"48596480\", alpha=\"0.07\", expect_size=\"19438592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80202240\", alpha=\"0.10\", expect_size=\"32080896\"] \n  1 -> 19 [size =\"32080896\"]\n  1 -> 21 [size =\"32080896\"]\n  1 -> 21 [size =\"32080896\"]\n  1 -> 22 [size =\"32080896\"]\n  1 -> 25 [size =\"32080896\"]\n  2 [size=\"22456320\", alpha=\"0.03\", expect_size=\"8982528\"] \n  2 -> 19 [size =\"8982528\"]\n  2 -> 20 [size =\"8982528\"]\n  2 -> 21 [size =\"8982528\"]\n  2 -> 24 [size =\"8982528\"]\n  3 [size=\"122234880\", alpha=\"0.06\", expect_size=\"48893952\"] \n  3 -> 19 [size =\"48893952\"]\n  3 -> 21 [size =\"48893952\"]\n  3 -> 21 [size =\"48893952\"]\n  3 -> 22 [size =\"48893952\"]\n  3 -> 24 [size =\"48893952\"]\n  4 [size=\"29626880\", alpha=\"0.19\", expect_size=\"11850752\"] \n  4 -> 19 [size =\"11850752\"]\n  4 -> 21 [size =\"11850752\"]\n  4 -> 22 [size =\"11850752\"]\n  4 -> 25 [size =\"11850752\"]\n  5 [size=\"50682880\", alpha=\"0.10\", expect_size=\"20273152\"] \n  5 -> 20 [size =\"20273152\"]\n  5 -> 21 [size =\"20273152\"]\n  5 -> 22 [size =\"20273152\"]\n  5 -> 24 [size =\"20273152\"]\n  6 [size=\"121415680\", alpha=\"0.18\", expect_size=\"48566272\"] \n  6 -> 19 [size =\"48566272\"]\n  6 -> 21 [size =\"48566272\"]\n  6 -> 22 [size =\"48566272\"]\n  6 -> 23 [size =\"48566272\"]\n  6 -> 25 [size =\"48566272\"]\n  7 [size=\"79255040\", alpha=\"0.06\", expect_size=\"31702016\"] \n  7 -> 21 [size =\"31702016\"]\n  7 -> 21 [size =\"31702016\"]\n  7 -> 24 [size =\"31702016\"]\n  7 -> 25 [size =\"31702016\"]\n  7 -> 25 [size =\"31702016\"]\n  8 [size=\"123138560\", alpha=\"0.05\", expect_size=\"49255424\"] \n  8 -> 19 [size =\"49255424\"]\n  8 -> 24 [size =\"49255424\"]\n  8 -> 25 [size =\"49255424\"]\n  9 [size=\"37893120\", alpha=\"0.02\", expect_size=\"15157248\"] \n  9 -> 20 [size =\"15157248\"]\n  9 -> 22 [size =\"15157248\"]\n  10 [size=\"66662400\", alpha=\"0.10\", expect_size=\"26664960\"] \n  10 -> 19 [size =\"26664960\"]\n  10 -> 20 [size =\"26664960\"]\n  10 -> 24 [size =\"26664960\"]\n  11 [size=\"45109760\", alpha=\"0.13\", expect_size=\"18043904\"] \n  11 -> 20 [size =\"18043904\"]\n  11 -> 20 [size =\"18043904\"]\n  11 -> 23 [size =\"18043904\"]\n  11 -> 25 [size =\"18043904\"]\n  12 [size=\"106037760\", alpha=\"0.11\", expect_size=\"42415104\"] \n  12 -> 18 [size =\"42415104\"]\n  12 -> 20 [size =\"42415104\"]\n  12 -> 23 [size =\"42415104\"]\n  12 -> 25 [size =\"42415104\"]\n  13 [size=\"122772480\", alpha=\"0.18\", expect_size=\"49108992\"] \n  13 -> 19 [size =\"49108992\"]\n  13 -> 20 [size =\"49108992\"]\n  13 -> 24 [size =\"49108992\"]\n  13 -> 25 [size =\"49108992\"]\n  14 [size=\"40220160\", alpha=\"0.01\", expect_size=\"16088064\"] \n  14 -> 22 [size =\"16088064\"]\n  14 -> 25 [size =\"16088064\"]\n  15 [size=\"37186560\", alpha=\"0.12\", expect_size=\"14874624\"] \n  15 -> 24 [size =\"14874624\"]\n  16 [size=\"97034240\", alpha=\"0.04\", expect_size=\"38813696\"] \n  16 -> 19 [size =\"38813696\"]\n  16 -> 25 [size =\"38813696\"]\n  17 [size=\"86415360\", alpha=\"0.12\", expect_size=\"34566144\"] \n  17 -> 18 [size =\"34566144\"]\n  17 -> 19 [size =\"34566144\"]\n  17 -> 21 [size =\"34566144\"]\n  17 -> 24 [size =\"34566144\"]\n  18 [size=\"123120640\", alpha=\"0.03\", expect_size=\"49248256\"] \n  19 [size=\"32711680\", alpha=\"0.03\", expect_size=\"13084672\"] \n  20 [size=\"46615040\", alpha=\"0.20\", expect_size=\"18646016\"] \n  21 [size=\"105512960\", alpha=\"0.08\", expect_size=\"42205184\"] \n  22 [size=\"62469120\", alpha=\"0.18\", expect_size=\"24987648\"] \n  23 [size=\"125096960\", alpha=\"0.07\", expect_size=\"50038784\"] \n  24 [size=\"112698880\", alpha=\"0.18\", expect_size=\"45079552\"] \n  25 [size=\"118208000\", alpha=\"0.16\", expect_size=\"47283200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31180800\", alpha=\"0.18\", expect_size=\"15590400\"] \n  1 -> 2 [size =\"15590400\"]\n  2 [size=\"89319424\", alpha=\"0.13\", expect_size=\"44659712\"] \n  2 -> 3 [size =\"44659712\"]\n  3 [size=\"99186688\", alpha=\"0.06\", expect_size=\"49593344\"] \n  3 -> 4 [size =\"49593344\"]\n  4 [size=\"31598592\", alpha=\"0.17\", expect_size=\"15799296\"] \n  4 -> 5 [size =\"15799296\"]\n  5 [size=\"43608064\", alpha=\"0.08\", expect_size=\"21804032\"] \n  5 -> 6 [size =\"21804032\"]\n  6 [size=\"95012864\", alpha=\"0.07\", expect_size=\"47506432\"] \n  6 -> 7 [size =\"47506432\"]\n  7 [size=\"92016640\", alpha=\"0.14\", expect_size=\"46008320\"] \n  7 -> 8 [size =\"46008320\"]\n  8 [size=\"91580416\", alpha=\"0.13\", expect_size=\"45790208\"] \n  8 -> 9 [size =\"45790208\"]\n  9 [size=\"43272192\", alpha=\"0.18\", expect_size=\"21636096\"] \n  9 -> 10 [size =\"21636096\"]\n  10 [size=\"49797120\", alpha=\"0.12\", expect_size=\"24898560\"] \n  10 -> 11 [size =\"24898560\"]\n  11 [size=\"51687424\", alpha=\"0.15\", expect_size=\"25843712\"] \n  11 -> 12 [size =\"25843712\"]\n  12 [size=\"42629120\", alpha=\"0.17\", expect_size=\"21314560\"] \n  12 -> 13 [size =\"21314560\"]\n  13 [size=\"101826560\", alpha=\"0.03\", expect_size=\"50913280\"] \n  13 -> 14 [size =\"50913280\"]\n  14 [size=\"36702208\", alpha=\"0.16\", expect_size=\"18351104\"] \n  14 -> 15 [size =\"18351104\"]\n  15 [size=\"21700608\", alpha=\"0.14\", expect_size=\"10850304\"] \n  15 -> 16 [size =\"10850304\"]\n  16 [size=\"58431488\", alpha=\"0.19\", expect_size=\"29215744\"] \n  16 -> 17 [size =\"29215744\"]\n  17 [size=\"93108224\", alpha=\"0.05\", expect_size=\"46554112\"] \n  17 -> 18 [size =\"46554112\"]\n  18 [size=\"63492096\", alpha=\"0.20\", expect_size=\"31746048\"] \n  18 -> 19 [size =\"31746048\"]\n  19 [size=\"30744576\", alpha=\"0.19\", expect_size=\"15372288\"] \n  19 -> 20 [size =\"15372288\"]\n  20 [size=\"19630080\", alpha=\"0.13\", expect_size=\"9815040\"] \n  20 -> 21 [size =\"9815040\"]\n  21 [size=\"74862592\", alpha=\"0.12\", expect_size=\"37431296\"] \n  21 -> 22 [size =\"37431296\"]\n  22 [size=\"51075072\", alpha=\"0.07\", expect_size=\"25537536\"] \n  22 -> 23 [size =\"25537536\"]\n  23 [size=\"38668288\", alpha=\"0.01\", expect_size=\"19334144\"] \n  23 -> 24 [size =\"19334144\"]\n  24 [size=\"51828736\", alpha=\"0.19\", expect_size=\"25914368\"] \n  24 -> 25 [size =\"25914368\"]\n  25 [size=\"33245184\", alpha=\"0.05\", expect_size=\"16622592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172854613\", alpha=\"0.11\", expect_size=\"51856384\"] \n  1 -> 2 [size =\"51856384\"]\n  2 [size=\"74949973\", alpha=\"0.13\", expect_size=\"22484992\"] \n  2 -> 3 [size =\"22484992\"]\n  3 [size=\"164621653\", alpha=\"0.03\", expect_size=\"49386496\"] \n  3 -> 4 [size =\"49386496\"]\n  3 -> 5 [size =\"49386496\"]\n  4 [size=\"28665173\", alpha=\"0.10\", expect_size=\"8599552\"] \n  4 -> 6 [size =\"8599552\"]\n  4 -> 7 [size =\"8599552\"]\n  5 [size=\"54548480\", alpha=\"0.17\", expect_size=\"16364544\"] \n  5 -> 7 [size =\"16364544\"]\n  6 [size=\"129235627\", alpha=\"0.15\", expect_size=\"38770688\"] \n  6 -> 8 [size =\"38770688\"]\n  6 -> 9 [size =\"38770688\"]\n  7 [size=\"91310080\", alpha=\"0.02\", expect_size=\"27393024\"] \n  7 -> 8 [size =\"27393024\"]\n  8 [size=\"64484693\", alpha=\"0.16\", expect_size=\"19345408\"] \n  8 -> 10 [size =\"19345408\"]\n  9 [size=\"40420693\", alpha=\"0.02\", expect_size=\"12126208\"] \n  10 [size=\"149275307\", alpha=\"0.20\", expect_size=\"44782592\"] \n  10 -> 11 [size =\"44782592\"]\n  10 -> 12 [size =\"44782592\"]\n  11 [size=\"109414400\", alpha=\"0.07\", expect_size=\"32824320\"] \n  11 -> 13 [size =\"32824320\"]\n  12 [size=\"42199040\", alpha=\"0.00\", expect_size=\"12659712\"] \n  12 -> 13 [size =\"12659712\"]\n  13 [size=\"142964053\", alpha=\"0.20\", expect_size=\"42889216\"] \n  13 -> 14 [size =\"42889216\"]\n  13 -> 15 [size =\"42889216\"]\n  14 [size=\"170110293\", alpha=\"0.06\", expect_size=\"51033088\"] \n  14 -> 16 [size =\"51033088\"]\n  14 -> 17 [size =\"51033088\"]\n  15 [size=\"93648213\", alpha=\"0.02\", expect_size=\"28094464\"] \n  15 -> 16 [size =\"28094464\"]\n  15 -> 17 [size =\"28094464\"]\n  16 [size=\"67461120\", alpha=\"0.05\", expect_size=\"20238336\"] \n  16 -> 18 [size =\"20238336\"]\n  17 [size=\"28989440\", alpha=\"0.07\", expect_size=\"8696832\"] \n  17 -> 18 [size =\"8696832\"]\n  18 [size=\"45025280\", alpha=\"0.12\", expect_size=\"13507584\"] \n  18 -> 19 [size =\"13507584\"]\n  19 [size=\"172817067\", alpha=\"0.03\", expect_size=\"51845120\"] \n  19 -> 20 [size =\"51845120\"]\n  19 -> 21 [size =\"51845120\"]\n  20 [size=\"27941547\", alpha=\"0.20\", expect_size=\"8382464\"] \n  21 [size=\"26043733\", alpha=\"0.16\", expect_size=\"7813120\"] \n  21 -> 22 [size =\"7813120\"]\n  22 [size=\"81967787\", alpha=\"0.00\", expect_size=\"24590336\"] \n  22 -> 23 [size =\"24590336\"]\n  22 -> 24 [size =\"24590336\"]\n  23 [size=\"85828267\", alpha=\"0.03\", expect_size=\"25748480\"] \n  23 -> 25 [size =\"25748480\"]\n  24 [size=\"84756480\", alpha=\"0.07\", expect_size=\"25426944\"] \n  24 -> 25 [size =\"25426944\"]\n  25 [size=\"128034133\", alpha=\"0.16\", expect_size=\"38410240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85153280\", alpha=\"0.15\", expect_size=\"34061312\"] \n  1 -> 3 [size =\"34061312\"]\n  1 -> 4 [size =\"34061312\"]\n  2 [size=\"59980800\", alpha=\"0.16\", expect_size=\"23992320\"] \n  2 -> 3 [size =\"23992320\"]\n  3 [size=\"77675520\", alpha=\"0.09\", expect_size=\"31070208\"] \n  3 -> 5 [size =\"31070208\"]\n  4 [size=\"87690240\", alpha=\"0.03\", expect_size=\"35076096\"] \n  4 -> 5 [size =\"35076096\"]\n  5 [size=\"36689920\", alpha=\"0.11\", expect_size=\"14675968\"] \n  5 -> 6 [size =\"14675968\"]\n  6 [size=\"99944960\", alpha=\"0.19\", expect_size=\"39977984\"] \n  6 -> 7 [size =\"39977984\"]\n  7 [size=\"107235840\", alpha=\"0.17\", expect_size=\"42894336\"] \n  7 -> 8 [size =\"42894336\"]\n  7 -> 9 [size =\"42894336\"]\n  8 [size=\"56296960\", alpha=\"0.13\", expect_size=\"22518784\"] \n  8 -> 11 [size =\"22518784\"]\n  9 [size=\"42068480\", alpha=\"0.05\", expect_size=\"16827392\"] \n  9 -> 10 [size =\"16827392\"]\n  10 [size=\"109117440\", alpha=\"0.01\", expect_size=\"43646976\"] \n  11 [size=\"88773120\", alpha=\"0.11\", expect_size=\"35509248\"] \n  11 -> 12 [size =\"35509248\"]\n  12 [size=\"59658240\", alpha=\"0.01\", expect_size=\"23863296\"] \n  12 -> 13 [size =\"23863296\"]\n  12 -> 14 [size =\"23863296\"]\n  13 [size=\"33297920\", alpha=\"0.05\", expect_size=\"13319168\"] \n  13 -> 15 [size =\"13319168\"]\n  13 -> 16 [size =\"13319168\"]\n  14 [size=\"83645440\", alpha=\"0.05\", expect_size=\"33458176\"] \n  15 [size=\"103920640\", alpha=\"0.12\", expect_size=\"41568256\"] \n  16 [size=\"53698560\", alpha=\"0.15\", expect_size=\"21479424\"] \n  16 -> 17 [size =\"21479424\"]\n  17 [size=\"49438720\", alpha=\"0.01\", expect_size=\"19775488\"] \n  17 -> 18 [size =\"19775488\"]\n  17 -> 19 [size =\"19775488\"]\n  18 [size=\"34590720\", alpha=\"0.16\", expect_size=\"13836288\"] \n  18 -> 21 [size =\"13836288\"]\n  19 [size=\"110033920\", alpha=\"0.17\", expect_size=\"44013568\"] \n  19 -> 20 [size =\"44013568\"]\n  19 -> 21 [size =\"44013568\"]\n  20 [size=\"22737920\", alpha=\"0.05\", expect_size=\"9095168\"] \n  20 -> 22 [size =\"9095168\"]\n  21 [size=\"27356160\", alpha=\"0.05\", expect_size=\"10942464\"] \n  21 -> 22 [size =\"10942464\"]\n  22 [size=\"92974080\", alpha=\"0.12\", expect_size=\"37189632\"] \n  22 -> 23 [size =\"37189632\"]\n  22 -> 24 [size =\"37189632\"]\n  23 [size=\"100922880\", alpha=\"0.11\", expect_size=\"40369152\"] \n  24 [size=\"130004480\", alpha=\"0.02\", expect_size=\"52001792\"] \n  24 -> 25 [size =\"52001792\"]\n  25 [size=\"40232960\", alpha=\"0.18\", expect_size=\"16093184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95994880\", alpha=\"0.07\", expect_size=\"38397952\"] \n  1 -> 11 [size =\"38397952\"]\n  1 -> 12 [size =\"38397952\"]\n  1 -> 13 [size =\"38397952\"]\n  1 -> 16 [size =\"38397952\"]\n  1 -> 17 [size =\"38397952\"]\n  1 -> 19 [size =\"38397952\"]\n  2 [size=\"47439360\", alpha=\"0.18\", expect_size=\"18975744\"] \n  2 -> 11 [size =\"18975744\"]\n  2 -> 13 [size =\"18975744\"]\n  2 -> 15 [size =\"18975744\"]\n  2 -> 16 [size =\"18975744\"]\n  3 [size=\"77962240\", alpha=\"0.19\", expect_size=\"31184896\"] \n  3 -> 13 [size =\"31184896\"]\n  3 -> 14 [size =\"31184896\"]\n  3 -> 15 [size =\"31184896\"]\n  4 [size=\"116014080\", alpha=\"0.05\", expect_size=\"46405632\"] \n  4 -> 19 [size =\"46405632\"]\n  5 [size=\"42421760\", alpha=\"0.11\", expect_size=\"16968704\"] \n  5 -> 13 [size =\"16968704\"]\n  5 -> 15 [size =\"16968704\"]\n  5 -> 18 [size =\"16968704\"]\n  6 [size=\"88821760\", alpha=\"0.03\", expect_size=\"35528704\"] \n  6 -> 12 [size =\"35528704\"]\n  6 -> 14 [size =\"35528704\"]\n  6 -> 15 [size =\"35528704\"]\n  6 -> 18 [size =\"35528704\"]\n  6 -> 19 [size =\"35528704\"]\n  7 [size=\"58846720\", alpha=\"0.08\", expect_size=\"23538688\"] \n  7 -> 12 [size =\"23538688\"]\n  7 -> 13 [size =\"23538688\"]\n  7 -> 15 [size =\"23538688\"]\n  7 -> 17 [size =\"23538688\"]\n  8 [size=\"118023680\", alpha=\"0.08\", expect_size=\"47209472\"] \n  8 -> 11 [size =\"47209472\"]\n  8 -> 13 [size =\"47209472\"]\n  8 -> 19 [size =\"47209472\"]\n  9 [size=\"21004800\", alpha=\"0.20\", expect_size=\"8401920\"] \n  9 -> 17 [size =\"8401920\"]\n  9 -> 18 [size =\"8401920\"]\n  10 [size=\"108789760\", alpha=\"0.12\", expect_size=\"43515904\"] \n  10 -> 11 [size =\"43515904\"]\n  10 -> 15 [size =\"43515904\"]\n  10 -> 16 [size =\"43515904\"]\n  10 -> 19 [size =\"43515904\"]\n  11 [size=\"108285440\", alpha=\"0.12\", expect_size=\"43314176\"] \n  11 -> 20 [size =\"43314176\"]\n  11 -> 23 [size =\"43314176\"]\n  12 [size=\"31933440\", alpha=\"0.03\", expect_size=\"12773376\"] \n  12 -> 20 [size =\"12773376\"]\n  12 -> 22 [size =\"12773376\"]\n  12 -> 25 [size =\"12773376\"]\n  13 [size=\"17464320\", alpha=\"0.00\", expect_size=\"6985728\"] \n  13 -> 22 [size =\"6985728\"]\n  14 [size=\"128975360\", alpha=\"0.18\", expect_size=\"51590144\"] \n  14 -> 22 [size =\"51590144\"]\n  14 -> 25 [size =\"51590144\"]\n  15 [size=\"42094080\", alpha=\"0.08\", expect_size=\"16837632\"] \n  15 -> 20 [size =\"16837632\"]\n  15 -> 25 [size =\"16837632\"]\n  16 [size=\"106603520\", alpha=\"0.12\", expect_size=\"42641408\"] \n  16 -> 22 [size =\"42641408\"]\n  17 [size=\"125140480\", alpha=\"0.11\", expect_size=\"50056192\"] \n  17 -> 22 [size =\"50056192\"]\n  17 -> 24 [size =\"50056192\"]\n  17 -> 25 [size =\"50056192\"]\n  18 [size=\"57039360\", alpha=\"0.03\", expect_size=\"22815744\"] \n  18 -> 20 [size =\"22815744\"]\n  18 -> 21 [size =\"22815744\"]\n  18 -> 24 [size =\"22815744\"]\n  18 -> 25 [size =\"22815744\"]\n  19 [size=\"105799680\", alpha=\"0.11\", expect_size=\"42319872\"] \n  19 -> 21 [size =\"42319872\"]\n  19 -> 22 [size =\"42319872\"]\n  19 -> 23 [size =\"42319872\"]\n  20 [size=\"105177600\", alpha=\"0.14\", expect_size=\"42071040\"] \n  21 [size=\"60638720\", alpha=\"0.10\", expect_size=\"24255488\"] \n  22 [size=\"15582720\", alpha=\"0.13\", expect_size=\"6233088\"] \n  23 [size=\"30720000\", alpha=\"0.07\", expect_size=\"12288000\"] \n  24 [size=\"32376320\", alpha=\"0.18\", expect_size=\"12950528\"] \n  25 [size=\"22248960\", alpha=\"0.14\", expect_size=\"8899584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random25_test/random.25.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:00:39 2019\n// ./daggen --dot -n 25 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93907627\", alpha=\"0.18\", expect_size=\"28172288\"] \n  1 -> 7 [size =\"28172288\"]\n  2 [size=\"59385173\", alpha=\"0.10\", expect_size=\"17815552\"] \n  2 -> 6 [size =\"17815552\"]\n  3 [size=\"134461440\", alpha=\"0.17\", expect_size=\"40338432\"] \n  3 -> 6 [size =\"40338432\"]\n  4 [size=\"28808533\", alpha=\"0.11\", expect_size=\"8642560\"] \n  5 [size=\"64354987\", alpha=\"0.17\", expect_size=\"19306496\"] \n  5 -> 6 [size =\"19306496\"]\n  5 -> 8 [size =\"19306496\"]\n  6 [size=\"121354240\", alpha=\"0.11\", expect_size=\"36406272\"] \n  6 -> 9 [size =\"36406272\"]\n  6 -> 11 [size =\"36406272\"]\n  7 [size=\"68990293\", alpha=\"0.01\", expect_size=\"20697088\"] \n  8 [size=\"114339840\", alpha=\"0.00\", expect_size=\"34301952\"] \n  8 -> 9 [size =\"34301952\"]\n  8 -> 10 [size =\"34301952\"]\n  8 -> 11 [size =\"34301952\"]\n  9 [size=\"28194133\", alpha=\"0.07\", expect_size=\"8458240\"] \n  9 -> 12 [size =\"8458240\"]\n  10 [size=\"85073920\", alpha=\"0.07\", expect_size=\"25522176\"] \n  10 -> 13 [size =\"25522176\"]\n  11 [size=\"21780480\", alpha=\"0.12\", expect_size=\"6534144\"] \n  11 -> 14 [size =\"6534144\"]\n  12 [size=\"163512320\", alpha=\"0.05\", expect_size=\"49053696\"] \n  12 -> 16 [size =\"49053696\"]\n  12 -> 17 [size =\"49053696\"]\n  13 [size=\"84725760\", alpha=\"0.08\", expect_size=\"25417728\"] \n  13 -> 15 [size =\"25417728\"]\n  14 [size=\"58221227\", alpha=\"0.19\", expect_size=\"17466368\"] \n  15 [size=\"142779733\", alpha=\"0.18\", expect_size=\"42833920\"] \n  15 -> 18 [size =\"42833920\"]\n  15 -> 21 [size =\"42833920\"]\n  16 [size=\"119149227\", alpha=\"0.15\", expect_size=\"35744768\"] \n  16 -> 19 [size =\"35744768\"]\n  17 [size=\"46571520\", alpha=\"0.04\", expect_size=\"13971456\"] \n  17 -> 18 [size =\"13971456\"]\n  17 -> 20 [size =\"13971456\"]\n  17 -> 21 [size =\"13971456\"]\n  18 [size=\"55476907\", alpha=\"0.05\", expect_size=\"16643072\"] \n  18 -> 23 [size =\"16643072\"]\n  19 [size=\"59139413\", alpha=\"0.07\", expect_size=\"17741824\"] \n  19 -> 22 [size =\"17741824\"]\n  20 [size=\"116066987\", alpha=\"0.05\", expect_size=\"34820096\"] \n  21 [size=\"174267733\", alpha=\"0.14\", expect_size=\"52280320\"] \n  21 -> 22 [size =\"52280320\"]\n  21 -> 23 [size =\"52280320\"]\n  22 [size=\"108721493\", alpha=\"0.07\", expect_size=\"32616448\"] \n  22 -> 24 [size =\"32616448\"]\n  23 [size=\"148264960\", alpha=\"0.15\", expect_size=\"44479488\"] \n  23 -> 25 [size =\"44479488\"]\n  24 [size=\"55657813\", alpha=\"0.05\", expect_size=\"16697344\"] \n  25 [size=\"44711253\", alpha=\"0.01\", expect_size=\"13413376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40473600\", alpha=\"0.11\", expect_size=\"16189440\"] \n  1 -> 13 [size =\"16189440\"]\n  1 -> 16 [size =\"16189440\"]\n  1 -> 19 [size =\"16189440\"]\n  2 [size=\"128481280\", alpha=\"0.03\", expect_size=\"51392512\"] \n  2 -> 13 [size =\"51392512\"]\n  2 -> 18 [size =\"51392512\"]\n  3 [size=\"90613760\", alpha=\"0.12\", expect_size=\"36245504\"] \n  3 -> 12 [size =\"36245504\"]\n  3 -> 13 [size =\"36245504\"]\n  4 [size=\"24491520\", alpha=\"0.09\", expect_size=\"9796608\"] \n  4 -> 12 [size =\"9796608\"]\n  4 -> 18 [size =\"9796608\"]\n  5 [size=\"74926080\", alpha=\"0.14\", expect_size=\"29970432\"] \n  5 -> 10 [size =\"29970432\"]\n  5 -> 13 [size =\"29970432\"]\n  5 -> 14 [size =\"29970432\"]\n  5 -> 17 [size =\"29970432\"]\n  5 -> 19 [size =\"29970432\"]\n  6 [size=\"30305280\", alpha=\"0.01\", expect_size=\"12122112\"] \n  6 -> 12 [size =\"12122112\"]\n  6 -> 13 [size =\"12122112\"]\n  6 -> 19 [size =\"12122112\"]\n  6 -> 20 [size =\"12122112\"]\n  7 [size=\"96616960\", alpha=\"0.20\", expect_size=\"38646784\"] \n  7 -> 11 [size =\"38646784\"]\n  7 -> 12 [size =\"38646784\"]\n  7 -> 15 [size =\"38646784\"]\n  7 -> 16 [size =\"38646784\"]\n  7 -> 18 [size =\"38646784\"]\n  8 [size=\"103339520\", alpha=\"0.15\", expect_size=\"41335808\"] \n  8 -> 10 [size =\"41335808\"]\n  8 -> 16 [size =\"41335808\"]\n  8 -> 18 [size =\"41335808\"]\n  9 [size=\"113208320\", alpha=\"0.13\", expect_size=\"45283328\"] \n  10 [size=\"125035520\", alpha=\"0.09\", expect_size=\"50014208\"] \n  10 -> 23 [size =\"50014208\"]\n  10 -> 27 [size =\"50014208\"]\n  11 [size=\"124874240\", alpha=\"0.02\", expect_size=\"49949696\"] \n  11 -> 22 [size =\"49949696\"]\n  11 -> 25 [size =\"49949696\"]\n  12 [size=\"71470080\", alpha=\"0.18\", expect_size=\"28588032\"] \n  12 -> 27 [size =\"28588032\"]\n  13 [size=\"91893760\", alpha=\"0.17\", expect_size=\"36757504\"] \n  13 -> 22 [size =\"36757504\"]\n  13 -> 24 [size =\"36757504\"]\n  13 -> 29 [size =\"36757504\"]\n  14 [size=\"43038720\", alpha=\"0.06\", expect_size=\"17215488\"] \n  14 -> 22 [size =\"17215488\"]\n  15 [size=\"97707520\", alpha=\"0.14\", expect_size=\"39083008\"] \n  15 -> 26 [size =\"39083008\"]\n  15 -> 27 [size =\"39083008\"]\n  16 [size=\"60776960\", alpha=\"0.09\", expect_size=\"24310784\"] \n  16 -> 23 [size =\"24310784\"]\n  16 -> 24 [size =\"24310784\"]\n  16 -> 26 [size =\"24310784\"]\n  16 -> 27 [size =\"24310784\"]\n  16 -> 30 [size =\"24310784\"]\n  17 [size=\"66785280\", alpha=\"0.08\", expect_size=\"26714112\"] \n  17 -> 22 [size =\"26714112\"]\n  17 -> 23 [size =\"26714112\"]\n  17 -> 27 [size =\"26714112\"]\n  18 [size=\"63892480\", alpha=\"0.14\", expect_size=\"25556992\"] \n  18 -> 21 [size =\"25556992\"]\n  18 -> 22 [size =\"25556992\"]\n  18 -> 24 [size =\"25556992\"]\n  18 -> 26 [size =\"25556992\"]\n  18 -> 27 [size =\"25556992\"]\n  18 -> 30 [size =\"25556992\"]\n  19 [size=\"34496000\", alpha=\"0.02\", expect_size=\"13798400\"] \n  19 -> 21 [size =\"13798400\"]\n  19 -> 24 [size =\"13798400\"]\n  19 -> 26 [size =\"13798400\"]\n  19 -> 28 [size =\"13798400\"]\n  19 -> 30 [size =\"13798400\"]\n  20 [size=\"111293440\", alpha=\"0.17\", expect_size=\"44517376\"] \n  20 -> 21 [size =\"44517376\"]\n  20 -> 22 [size =\"44517376\"]\n  20 -> 25 [size =\"44517376\"]\n  20 -> 26 [size =\"44517376\"]\n  20 -> 29 [size =\"44517376\"]\n  21 [size=\"44339200\", alpha=\"0.17\", expect_size=\"17735680\"] \n  22 [size=\"58291200\", alpha=\"0.16\", expect_size=\"23316480\"] \n  23 [size=\"48993280\", alpha=\"0.09\", expect_size=\"19597312\"] \n  24 [size=\"32650240\", alpha=\"0.03\", expect_size=\"13060096\"] \n  25 [size=\"66140160\", alpha=\"0.08\", expect_size=\"26456064\"] \n  26 [size=\"29747200\", alpha=\"0.16\", expect_size=\"11898880\"] \n  27 [size=\"83988480\", alpha=\"0.18\", expect_size=\"33595392\"] \n  28 [size=\"15024640\", alpha=\"0.15\", expect_size=\"6009856\"] \n  29 [size=\"95224320\", alpha=\"0.10\", expect_size=\"38089728\"] \n  30 [size=\"104704000\", alpha=\"0.03\", expect_size=\"41881600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67227648\", alpha=\"0.11\", expect_size=\"33613824\"] \n  1 -> 17 [size =\"33613824\"]\n  1 -> 26 [size =\"33613824\"]\n  1 -> 28 [size =\"33613824\"]\n  2 [size=\"103510016\", alpha=\"0.08\", expect_size=\"51755008\"] \n  2 -> 16 [size =\"51755008\"]\n  2 -> 21 [size =\"51755008\"]\n  2 -> 28 [size =\"51755008\"]\n  3 [size=\"84115456\", alpha=\"0.19\", expect_size=\"42057728\"] \n  3 -> 16 [size =\"42057728\"]\n  3 -> 20 [size =\"42057728\"]\n  3 -> 27 [size =\"42057728\"]\n  3 -> 29 [size =\"42057728\"]\n  3 -> 30 [size =\"42057728\"]\n  4 [size=\"48701440\", alpha=\"0.00\", expect_size=\"24350720\"] \n  4 -> 27 [size =\"24350720\"]\n  4 -> 29 [size =\"24350720\"]\n  5 [size=\"52103168\", alpha=\"0.15\", expect_size=\"26051584\"] \n  5 -> 20 [size =\"26051584\"]\n  5 -> 21 [size =\"26051584\"]\n  5 -> 25 [size =\"26051584\"]\n  5 -> 26 [size =\"26051584\"]\n  6 [size=\"77365248\", alpha=\"0.02\", expect_size=\"38682624\"] \n  6 -> 28 [size =\"38682624\"]\n  6 -> 29 [size =\"38682624\"]\n  7 [size=\"28180480\", alpha=\"0.17\", expect_size=\"14090240\"] \n  7 -> 18 [size =\"14090240\"]\n  7 -> 29 [size =\"14090240\"]\n  8 [size=\"30109696\", alpha=\"0.14\", expect_size=\"15054848\"] \n  8 -> 18 [size =\"15054848\"]\n  8 -> 20 [size =\"15054848\"]\n  8 -> 21 [size =\"15054848\"]\n  9 [size=\"25454592\", alpha=\"0.01\", expect_size=\"12727296\"] \n  9 -> 18 [size =\"12727296\"]\n  9 -> 29 [size =\"12727296\"]\n  10 [size=\"82651136\", alpha=\"0.03\", expect_size=\"41325568\"] \n  10 -> 22 [size =\"41325568\"]\n  10 -> 27 [size =\"41325568\"]\n  11 [size=\"92545024\", alpha=\"0.10\", expect_size=\"46272512\"] \n  11 -> 18 [size =\"46272512\"]\n  11 -> 22 [size =\"46272512\"]\n  11 -> 27 [size =\"46272512\"]\n  11 -> 29 [size =\"46272512\"]\n  12 [size=\"50143232\", alpha=\"0.04\", expect_size=\"25071616\"] \n  12 -> 24 [size =\"25071616\"]\n  12 -> 27 [size =\"25071616\"]\n  12 -> 29 [size =\"25071616\"]\n  13 [size=\"86867968\", alpha=\"0.01\", expect_size=\"43433984\"] \n  13 -> 17 [size =\"43433984\"]\n  13 -> 20 [size =\"43433984\"]\n  13 -> 22 [size =\"43433984\"]\n  13 -> 27 [size =\"43433984\"]\n  13 -> 28 [size =\"43433984\"]\n  13 -> 29 [size =\"43433984\"]\n  14 [size=\"82601984\", alpha=\"0.09\", expect_size=\"41300992\"] \n  14 -> 17 [size =\"41300992\"]\n  14 -> 20 [size =\"41300992\"]\n  14 -> 23 [size =\"41300992\"]\n  14 -> 28 [size =\"41300992\"]\n  15 [size=\"84561920\", alpha=\"0.17\", expect_size=\"42280960\"] \n  15 -> 19 [size =\"42280960\"]\n  15 -> 20 [size =\"42280960\"]\n  15 -> 24 [size =\"42280960\"]\n  15 -> 28 [size =\"42280960\"]\n  16 [size=\"62351360\", alpha=\"0.08\", expect_size=\"31175680\"] \n  17 [size=\"70361088\", alpha=\"0.14\", expect_size=\"35180544\"] \n  18 [size=\"56465408\", alpha=\"0.08\", expect_size=\"28232704\"] \n  19 [size=\"29405184\", alpha=\"0.03\", expect_size=\"14702592\"] \n  20 [size=\"36380672\", alpha=\"0.16\", expect_size=\"18190336\"] \n  21 [size=\"50481152\", alpha=\"0.02\", expect_size=\"25240576\"] \n  22 [size=\"99469312\", alpha=\"0.07\", expect_size=\"49734656\"] \n  23 [size=\"25499648\", alpha=\"0.08\", expect_size=\"12749824\"] \n  24 [size=\"29181952\", alpha=\"0.16\", expect_size=\"14590976\"] \n  25 [size=\"70129664\", alpha=\"0.14\", expect_size=\"35064832\"] \n  26 [size=\"58060800\", alpha=\"0.06\", expect_size=\"29030400\"] \n  27 [size=\"95657984\", alpha=\"0.01\", expect_size=\"47828992\"] \n  28 [size=\"68067328\", alpha=\"0.01\", expect_size=\"34033664\"] \n  29 [size=\"13635584\", alpha=\"0.04\", expect_size=\"6817792\"] \n  30 [size=\"28030976\", alpha=\"0.02\", expect_size=\"14015488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104407040\", alpha=\"0.17\", expect_size=\"31322112\"] \n  1 -> 22 [size =\"31322112\"]\n  1 -> 25 [size =\"31322112\"]\n  1 -> 26 [size =\"31322112\"]\n  1 -> 29 [size =\"31322112\"]\n  2 [size=\"169250133\", alpha=\"0.14\", expect_size=\"50775040\"] \n  2 -> 25 [size =\"50775040\"]\n  2 -> 25 [size =\"50775040\"]\n  2 -> 27 [size =\"50775040\"]\n  2 -> 30 [size =\"50775040\"]\n  3 [size=\"140834133\", alpha=\"0.03\", expect_size=\"42250240\"] \n  3 -> 25 [size =\"42250240\"]\n  3 -> 26 [size =\"42250240\"]\n  3 -> 28 [size =\"42250240\"]\n  4 [size=\"68648960\", alpha=\"0.19\", expect_size=\"20594688\"] \n  4 -> 24 [size =\"20594688\"]\n  4 -> 25 [size =\"20594688\"]\n  5 [size=\"64242347\", alpha=\"0.11\", expect_size=\"19272704\"] \n  5 -> 23 [size =\"19272704\"]\n  5 -> 26 [size =\"19272704\"]\n  5 -> 27 [size =\"19272704\"]\n  6 [size=\"92091733\", alpha=\"0.00\", expect_size=\"27627520\"] \n  6 -> 27 [size =\"27627520\"]\n  6 -> 28 [size =\"27627520\"]\n  7 [size=\"17575253\", alpha=\"0.00\", expect_size=\"5272576\"] \n  7 -> 25 [size =\"5272576\"]\n  8 [size=\"159156907\", alpha=\"0.17\", expect_size=\"47747072\"] \n  8 -> 24 [size =\"47747072\"]\n  8 -> 25 [size =\"47747072\"]\n  8 -> 26 [size =\"47747072\"]\n  8 -> 30 [size =\"47747072\"]\n  9 [size=\"166826667\", alpha=\"0.15\", expect_size=\"50048000\"] \n  9 -> 23 [size =\"50048000\"]\n  9 -> 24 [size =\"50048000\"]\n  9 -> 25 [size =\"50048000\"]\n  9 -> 28 [size =\"50048000\"]\n  9 -> 30 [size =\"50048000\"]\n  10 [size=\"164048213\", alpha=\"0.06\", expect_size=\"49214464\"] \n  10 -> 23 [size =\"49214464\"]\n  10 -> 25 [size =\"49214464\"]\n  10 -> 30 [size =\"49214464\"]\n  11 [size=\"92282880\", alpha=\"0.09\", expect_size=\"27684864\"] \n  11 -> 23 [size =\"27684864\"]\n  12 [size=\"71441067\", alpha=\"0.13\", expect_size=\"21432320\"] \n  12 -> 30 [size =\"21432320\"]\n  13 [size=\"25023147\", alpha=\"0.10\", expect_size=\"7506944\"] \n  13 -> 22 [size =\"7506944\"]\n  13 -> 23 [size =\"7506944\"]\n  13 -> 25 [size =\"7506944\"]\n  13 -> 30 [size =\"7506944\"]\n  14 [size=\"45731840\", alpha=\"0.02\", expect_size=\"13719552\"] \n  14 -> 23 [size =\"13719552\"]\n  14 -> 25 [size =\"13719552\"]\n  15 [size=\"39553707\", alpha=\"0.17\", expect_size=\"11866112\"] \n  16 [size=\"125054293\", alpha=\"0.17\", expect_size=\"37516288\"] \n  16 -> 24 [size =\"37516288\"]\n  16 -> 27 [size =\"37516288\"]\n  17 [size=\"126706347\", alpha=\"0.13\", expect_size=\"38011904\"] \n  17 -> 24 [size =\"38011904\"]\n  17 -> 25 [size =\"38011904\"]\n  17 -> 26 [size =\"38011904\"]\n  17 -> 29 [size =\"38011904\"]\n  18 [size=\"129686187\", alpha=\"0.10\", expect_size=\"38905856\"] \n  18 -> 26 [size =\"38905856\"]\n  18 -> 29 [size =\"38905856\"]\n  19 [size=\"107642880\", alpha=\"0.16\", expect_size=\"32292864\"] \n  20 [size=\"70318080\", alpha=\"0.02\", expect_size=\"21095424\"] \n  20 -> 22 [size =\"21095424\"]\n  20 -> 29 [size =\"21095424\"]\n  21 [size=\"116462933\", alpha=\"0.18\", expect_size=\"34938880\"] \n  21 -> 22 [size =\"34938880\"]\n  21 -> 24 [size =\"34938880\"]\n  22 [size=\"26852693\", alpha=\"0.14\", expect_size=\"8055808\"] \n  23 [size=\"126252373\", alpha=\"0.06\", expect_size=\"37875712\"] \n  24 [size=\"45451947\", alpha=\"0.04\", expect_size=\"13635584\"] \n  25 [size=\"63313920\", alpha=\"0.08\", expect_size=\"18994176\"] \n  26 [size=\"37474987\", alpha=\"0.02\", expect_size=\"11242496\"] \n  27 [size=\"171653120\", alpha=\"0.16\", expect_size=\"51495936\"] \n  28 [size=\"117319680\", alpha=\"0.07\", expect_size=\"35195904\"] \n  29 [size=\"42147840\", alpha=\"0.18\", expect_size=\"12644352\"] \n  30 [size=\"166884693\", alpha=\"0.07\", expect_size=\"50065408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38430720\", alpha=\"0.07\", expect_size=\"11529216\"] \n  1 -> 20 [size =\"11529216\"]\n  1 -> 22 [size =\"11529216\"]\n  1 -> 25 [size =\"11529216\"]\n  2 [size=\"41601707\", alpha=\"0.18\", expect_size=\"12480512\"] \n  2 -> 19 [size =\"12480512\"]\n  2 -> 20 [size =\"12480512\"]\n  2 -> 21 [size =\"12480512\"]\n  2 -> 22 [size =\"12480512\"]\n  2 -> 24 [size =\"12480512\"]\n  2 -> 25 [size =\"12480512\"]\n  2 -> 30 [size =\"12480512\"]\n  3 [size=\"77656747\", alpha=\"0.07\", expect_size=\"23297024\"] \n  3 -> 20 [size =\"23297024\"]\n  3 -> 21 [size =\"23297024\"]\n  3 -> 22 [size =\"23297024\"]\n  3 -> 22 [size =\"23297024\"]\n  3 -> 24 [size =\"23297024\"]\n  3 -> 25 [size =\"23297024\"]\n  3 -> 26 [size =\"23297024\"]\n  4 [size=\"141765973\", alpha=\"0.08\", expect_size=\"42529792\"] \n  4 -> 20 [size =\"42529792\"]\n  4 -> 21 [size =\"42529792\"]\n  4 -> 24 [size =\"42529792\"]\n  4 -> 25 [size =\"42529792\"]\n  4 -> 26 [size =\"42529792\"]\n  4 -> 27 [size =\"42529792\"]\n  5 [size=\"59893760\", alpha=\"0.02\", expect_size=\"17968128\"] \n  5 -> 19 [size =\"17968128\"]\n  5 -> 21 [size =\"17968128\"]\n  5 -> 25 [size =\"17968128\"]\n  5 -> 26 [size =\"17968128\"]\n  5 -> 28 [size =\"17968128\"]\n  6 [size=\"28798293\", alpha=\"0.09\", expect_size=\"8639488\"] \n  6 -> 19 [size =\"8639488\"]\n  6 -> 22 [size =\"8639488\"]\n  6 -> 25 [size =\"8639488\"]\n  6 -> 27 [size =\"8639488\"]\n  6 -> 30 [size =\"8639488\"]\n  7 [size=\"44496213\", alpha=\"0.09\", expect_size=\"13348864\"] \n  7 -> 19 [size =\"13348864\"]\n  7 -> 20 [size =\"13348864\"]\n  7 -> 21 [size =\"13348864\"]\n  7 -> 22 [size =\"13348864\"]\n  7 -> 24 [size =\"13348864\"]\n  7 -> 25 [size =\"13348864\"]\n  7 -> 29 [size =\"13348864\"]\n  7 -> 30 [size =\"13348864\"]\n  8 [size=\"166307840\", alpha=\"0.12\", expect_size=\"49892352\"] \n  8 -> 19 [size =\"49892352\"]\n  8 -> 22 [size =\"49892352\"]\n  8 -> 24 [size =\"49892352\"]\n  8 -> 25 [size =\"49892352\"]\n  8 -> 30 [size =\"49892352\"]\n  9 [size=\"37628587\", alpha=\"0.12\", expect_size=\"11288576\"] \n  9 -> 20 [size =\"11288576\"]\n  9 -> 21 [size =\"11288576\"]\n  9 -> 22 [size =\"11288576\"]\n  9 -> 24 [size =\"11288576\"]\n  9 -> 25 [size =\"11288576\"]\n  9 -> 28 [size =\"11288576\"]\n  9 -> 30 [size =\"11288576\"]\n  10 [size=\"104096427\", alpha=\"0.17\", expect_size=\"31228928\"] \n  10 -> 20 [size =\"31228928\"]\n  10 -> 21 [size =\"31228928\"]\n  10 -> 22 [size =\"31228928\"]\n  10 -> 25 [size =\"31228928\"]\n  10 -> 26 [size =\"31228928\"]\n  10 -> 28 [size =\"31228928\"]\n  10 -> 30 [size =\"31228928\"]\n  11 [size=\"138878293\", alpha=\"0.05\", expect_size=\"41663488\"] \n  11 -> 21 [size =\"41663488\"]\n  11 -> 26 [size =\"41663488\"]\n  11 -> 28 [size =\"41663488\"]\n  11 -> 29 [size =\"41663488\"]\n  12 [size=\"37874347\", alpha=\"0.03\", expect_size=\"11362304\"] \n  12 -> 22 [size =\"11362304\"]\n  12 -> 27 [size =\"11362304\"]\n  12 -> 28 [size =\"11362304\"]\n  12 -> 29 [size =\"11362304\"]\n  12 -> 30 [size =\"11362304\"]\n  13 [size=\"21466453\", alpha=\"0.08\", expect_size=\"6439936\"] \n  13 -> 20 [size =\"6439936\"]\n  13 -> 22 [size =\"6439936\"]\n  13 -> 24 [size =\"6439936\"]\n  13 -> 26 [size =\"6439936\"]\n  13 -> 30 [size =\"6439936\"]\n  14 [size=\"76632747\", alpha=\"0.12\", expect_size=\"22989824\"] \n  14 -> 18 [size =\"22989824\"]\n  14 -> 21 [size =\"22989824\"]\n  14 -> 22 [size =\"22989824\"]\n  14 -> 26 [size =\"22989824\"]\n  15 [size=\"136331947\", alpha=\"0.09\", expect_size=\"40899584\"] \n  15 -> 21 [size =\"40899584\"]\n  16 [size=\"151012693\", alpha=\"0.03\", expect_size=\"45303808\"] \n  16 -> 20 [size =\"45303808\"]\n  16 -> 21 [size =\"45303808\"]\n  16 -> 23 [size =\"45303808\"]\n  16 -> 26 [size =\"45303808\"]\n  17 [size=\"66894507\", alpha=\"0.17\", expect_size=\"20068352\"] \n  17 -> 18 [size =\"20068352\"]\n  17 -> 19 [size =\"20068352\"]\n  17 -> 20 [size =\"20068352\"]\n  18 [size=\"135150933\", alpha=\"0.00\", expect_size=\"40545280\"] \n  19 [size=\"72154453\", alpha=\"0.18\", expect_size=\"21646336\"] \n  20 [size=\"168277333\", alpha=\"0.06\", expect_size=\"50483200\"] \n  21 [size=\"146964480\", alpha=\"0.18\", expect_size=\"44089344\"] \n  22 [size=\"30296747\", alpha=\"0.12\", expect_size=\"9089024\"] \n  23 [size=\"55855787\", alpha=\"0.14\", expect_size=\"16756736\"] \n  24 [size=\"122525013\", alpha=\"0.12\", expect_size=\"36757504\"] \n  25 [size=\"57511253\", alpha=\"0.15\", expect_size=\"17253376\"] \n  26 [size=\"129942187\", alpha=\"0.20\", expect_size=\"38982656\"] \n  27 [size=\"153545387\", alpha=\"0.08\", expect_size=\"46063616\"] \n  28 [size=\"127668907\", alpha=\"0.15\", expect_size=\"38300672\"] \n  29 [size=\"129334613\", alpha=\"0.04\", expect_size=\"38800384\"] \n  30 [size=\"111953920\", alpha=\"0.05\", expect_size=\"33586176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99545600\", alpha=\"0.03\", expect_size=\"39818240\"] \n  1 -> 11 [size =\"39818240\"]\n  1 -> 13 [size =\"39818240\"]\n  1 -> 14 [size =\"39818240\"]\n  1 -> 15 [size =\"39818240\"]\n  1 -> 16 [size =\"39818240\"]\n  1 -> 18 [size =\"39818240\"]\n  2 [size=\"130347520\", alpha=\"0.09\", expect_size=\"52139008\"] \n  2 -> 10 [size =\"52139008\"]\n  2 -> 14 [size =\"52139008\"]\n  2 -> 18 [size =\"52139008\"]\n  3 [size=\"116825600\", alpha=\"0.20\", expect_size=\"46730240\"] \n  3 -> 11 [size =\"46730240\"]\n  3 -> 13 [size =\"46730240\"]\n  3 -> 16 [size =\"46730240\"]\n  4 [size=\"130414080\", alpha=\"0.06\", expect_size=\"52165632\"] \n  5 [size=\"127523840\", alpha=\"0.12\", expect_size=\"51009536\"] \n  5 -> 12 [size =\"51009536\"]\n  5 -> 13 [size =\"51009536\"]\n  5 -> 16 [size =\"51009536\"]\n  6 [size=\"49049600\", alpha=\"0.06\", expect_size=\"19619840\"] \n  6 -> 12 [size =\"19619840\"]\n  6 -> 16 [size =\"19619840\"]\n  6 -> 17 [size =\"19619840\"]\n  6 -> 18 [size =\"19619840\"]\n  7 [size=\"55377920\", alpha=\"0.03\", expect_size=\"22151168\"] \n  7 -> 13 [size =\"22151168\"]\n  7 -> 15 [size =\"22151168\"]\n  7 -> 18 [size =\"22151168\"]\n  8 [size=\"22576640\", alpha=\"0.06\", expect_size=\"9030656\"] \n  8 -> 11 [size =\"9030656\"]\n  8 -> 12 [size =\"9030656\"]\n  8 -> 18 [size =\"9030656\"]\n  9 [size=\"51146240\", alpha=\"0.04\", expect_size=\"20458496\"] \n  9 -> 12 [size =\"20458496\"]\n  9 -> 13 [size =\"20458496\"]\n  10 [size=\"107171840\", alpha=\"0.19\", expect_size=\"42868736\"] \n  10 -> 19 [size =\"42868736\"]\n  10 -> 20 [size =\"42868736\"]\n  10 -> 22 [size =\"42868736\"]\n  10 -> 27 [size =\"42868736\"]\n  10 -> 28 [size =\"42868736\"]\n  11 [size=\"52874240\", alpha=\"0.11\", expect_size=\"21149696\"] \n  11 -> 25 [size =\"21149696\"]\n  11 -> 27 [size =\"21149696\"]\n  12 [size=\"68587520\", alpha=\"0.11\", expect_size=\"27435008\"] \n  12 -> 19 [size =\"27435008\"]\n  12 -> 21 [size =\"27435008\"]\n  12 -> 22 [size =\"27435008\"]\n  12 -> 23 [size =\"27435008\"]\n  13 [size=\"120371200\", alpha=\"0.03\", expect_size=\"48148480\"] \n  13 -> 19 [size =\"48148480\"]\n  13 -> 20 [size =\"48148480\"]\n  13 -> 24 [size =\"48148480\"]\n  13 -> 26 [size =\"48148480\"]\n  13 -> 27 [size =\"48148480\"]\n  13 -> 28 [size =\"48148480\"]\n  14 [size=\"117460480\", alpha=\"0.19\", expect_size=\"46984192\"] \n  14 -> 19 [size =\"46984192\"]\n  14 -> 23 [size =\"46984192\"]\n  15 [size=\"35486720\", alpha=\"0.01\", expect_size=\"14194688\"] \n  15 -> 26 [size =\"14194688\"]\n  16 [size=\"105141760\", alpha=\"0.18\", expect_size=\"42056704\"] \n  17 [size=\"23912960\", alpha=\"0.12\", expect_size=\"9565184\"] \n  17 -> 22 [size =\"9565184\"]\n  17 -> 23 [size =\"9565184\"]\n  17 -> 28 [size =\"9565184\"]\n  18 [size=\"42247680\", alpha=\"0.03\", expect_size=\"16899072\"] \n  19 [size=\"77094400\", alpha=\"0.18\", expect_size=\"30837760\"] \n  20 [size=\"99888640\", alpha=\"0.13\", expect_size=\"39955456\"] \n  21 [size=\"92572160\", alpha=\"0.03\", expect_size=\"37028864\"] \n  22 [size=\"38364160\", alpha=\"0.13\", expect_size=\"15345664\"] \n  23 [size=\"102423040\", alpha=\"0.20\", expect_size=\"40969216\"] \n  24 [size=\"122216960\", alpha=\"0.07\", expect_size=\"48886784\"] \n  25 [size=\"114380800\", alpha=\"0.14\", expect_size=\"45752320\"] \n  26 [size=\"120217600\", alpha=\"0.07\", expect_size=\"48087040\"] \n  27 [size=\"106583040\", alpha=\"0.06\", expect_size=\"42633216\"] \n  28 [size=\"58785280\", alpha=\"0.08\", expect_size=\"23514112\"] \n  28 -> 29 [size =\"23514112\"]\n  28 -> 30 [size =\"23514112\"]\n  29 [size=\"78676480\", alpha=\"0.16\", expect_size=\"31470592\"] \n  30 [size=\"64291840\", alpha=\"0.20\", expect_size=\"25716736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157552640\", alpha=\"0.03\", expect_size=\"47265792\"] \n  1 -> 2 [size =\"47265792\"]\n  2 [size=\"54200320\", alpha=\"0.05\", expect_size=\"16260096\"] \n  2 -> 3 [size =\"16260096\"]\n  3 [size=\"138441387\", alpha=\"0.07\", expect_size=\"41532416\"] \n  3 -> 4 [size =\"41532416\"]\n  4 [size=\"154685440\", alpha=\"0.05\", expect_size=\"46405632\"] \n  4 -> 5 [size =\"46405632\"]\n  5 [size=\"66013867\", alpha=\"0.16\", expect_size=\"19804160\"] \n  5 -> 6 [size =\"19804160\"]\n  6 [size=\"24221013\", alpha=\"0.03\", expect_size=\"7266304\"] \n  6 -> 7 [size =\"7266304\"]\n  7 [size=\"44175360\", alpha=\"0.05\", expect_size=\"13252608\"] \n  7 -> 8 [size =\"13252608\"]\n  8 [size=\"116312747\", alpha=\"0.10\", expect_size=\"34893824\"] \n  8 -> 9 [size =\"34893824\"]\n  9 [size=\"104925867\", alpha=\"0.10\", expect_size=\"31477760\"] \n  9 -> 10 [size =\"31477760\"]\n  10 [size=\"99174400\", alpha=\"0.19\", expect_size=\"29752320\"] \n  10 -> 11 [size =\"29752320\"]\n  11 [size=\"67962880\", alpha=\"0.13\", expect_size=\"20388864\"] \n  11 -> 12 [size =\"20388864\"]\n  12 [size=\"95337813\", alpha=\"0.19\", expect_size=\"28601344\"] \n  12 -> 13 [size =\"28601344\"]\n  13 [size=\"137314987\", alpha=\"0.03\", expect_size=\"41194496\"] \n  13 -> 14 [size =\"41194496\"]\n  14 [size=\"33716907\", alpha=\"0.09\", expect_size=\"10115072\"] \n  14 -> 15 [size =\"10115072\"]\n  15 [size=\"69635413\", alpha=\"0.10\", expect_size=\"20890624\"] \n  15 -> 16 [size =\"20890624\"]\n  16 [size=\"40243200\", alpha=\"0.15\", expect_size=\"12072960\"] \n  16 -> 17 [size =\"12072960\"]\n  17 [size=\"60805120\", alpha=\"0.09\", expect_size=\"18241536\"] \n  17 -> 18 [size =\"18241536\"]\n  18 [size=\"98672640\", alpha=\"0.12\", expect_size=\"29601792\"] \n  18 -> 19 [size =\"29601792\"]\n  19 [size=\"174650027\", alpha=\"0.16\", expect_size=\"52395008\"] \n  19 -> 20 [size =\"52395008\"]\n  20 [size=\"95429973\", alpha=\"0.13\", expect_size=\"28628992\"] \n  20 -> 21 [size =\"28628992\"]\n  21 [size=\"91265707\", alpha=\"0.08\", expect_size=\"27379712\"] \n  21 -> 22 [size =\"27379712\"]\n  22 [size=\"34129920\", alpha=\"0.08\", expect_size=\"10238976\"] \n  22 -> 23 [size =\"10238976\"]\n  23 [size=\"29904213\", alpha=\"0.03\", expect_size=\"8971264\"] \n  23 -> 24 [size =\"8971264\"]\n  24 [size=\"54545067\", alpha=\"0.16\", expect_size=\"16363520\"] \n  24 -> 25 [size =\"16363520\"]\n  25 [size=\"123562667\", alpha=\"0.15\", expect_size=\"37068800\"] \n  25 -> 26 [size =\"37068800\"]\n  26 [size=\"42922667\", alpha=\"0.15\", expect_size=\"12876800\"] \n  26 -> 27 [size =\"12876800\"]\n  27 [size=\"160293547\", alpha=\"0.18\", expect_size=\"48088064\"] \n  27 -> 28 [size =\"48088064\"]\n  28 [size=\"76209493\", alpha=\"0.13\", expect_size=\"22862848\"] \n  28 -> 29 [size =\"22862848\"]\n  29 [size=\"168151040\", alpha=\"0.00\", expect_size=\"50445312\"] \n  29 -> 30 [size =\"50445312\"]\n  30 [size=\"135799467\", alpha=\"0.17\", expect_size=\"40739840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101085184\", alpha=\"0.11\", expect_size=\"50542592\"] \n  1 -> 11 [size =\"50542592\"]\n  1 -> 14 [size =\"50542592\"]\n  1 -> 14 [size =\"50542592\"]\n  1 -> 19 [size =\"50542592\"]\n  1 -> 20 [size =\"50542592\"]\n  2 [size=\"25907200\", alpha=\"0.05\", expect_size=\"12953600\"] \n  2 -> 15 [size =\"12953600\"]\n  2 -> 17 [size =\"12953600\"]\n  2 -> 18 [size =\"12953600\"]\n  2 -> 19 [size =\"12953600\"]\n  2 -> 20 [size =\"12953600\"]\n  3 [size=\"48660480\", alpha=\"0.01\", expect_size=\"24330240\"] \n  3 -> 10 [size =\"24330240\"]\n  3 -> 15 [size =\"24330240\"]\n  3 -> 18 [size =\"24330240\"]\n  3 -> 19 [size =\"24330240\"]\n  4 [size=\"75272192\", alpha=\"0.13\", expect_size=\"37636096\"] \n  4 -> 10 [size =\"37636096\"]\n  4 -> 13 [size =\"37636096\"]\n  4 -> 14 [size =\"37636096\"]\n  4 -> 18 [size =\"37636096\"]\n  4 -> 20 [size =\"37636096\"]\n  5 [size=\"74512384\", alpha=\"0.17\", expect_size=\"37256192\"] \n  5 -> 10 [size =\"37256192\"]\n  5 -> 17 [size =\"37256192\"]\n  6 [size=\"51134464\", alpha=\"0.10\", expect_size=\"25567232\"] \n  6 -> 11 [size =\"25567232\"]\n  6 -> 18 [size =\"25567232\"]\n  7 [size=\"24092672\", alpha=\"0.01\", expect_size=\"12046336\"] \n  7 -> 11 [size =\"12046336\"]\n  7 -> 13 [size =\"12046336\"]\n  7 -> 14 [size =\"12046336\"]\n  7 -> 18 [size =\"12046336\"]\n  8 [size=\"54577152\", alpha=\"0.01\", expect_size=\"27288576\"] \n  8 -> 11 [size =\"27288576\"]\n  8 -> 13 [size =\"27288576\"]\n  8 -> 17 [size =\"27288576\"]\n  8 -> 20 [size =\"27288576\"]\n  9 [size=\"72431616\", alpha=\"0.02\", expect_size=\"36215808\"] \n  9 -> 12 [size =\"36215808\"]\n  9 -> 13 [size =\"36215808\"]\n  9 -> 14 [size =\"36215808\"]\n  9 -> 16 [size =\"36215808\"]\n  9 -> 19 [size =\"36215808\"]\n  9 -> 20 [size =\"36215808\"]\n  10 [size=\"15931392\", alpha=\"0.11\", expect_size=\"7965696\"] \n  10 -> 21 [size =\"7965696\"]\n  10 -> 25 [size =\"7965696\"]\n  10 -> 26 [size =\"7965696\"]\n  10 -> 29 [size =\"7965696\"]\n  11 [size=\"45340672\", alpha=\"0.11\", expect_size=\"22670336\"] \n  11 -> 21 [size =\"22670336\"]\n  11 -> 22 [size =\"22670336\"]\n  11 -> 23 [size =\"22670336\"]\n  11 -> 25 [size =\"22670336\"]\n  11 -> 27 [size =\"22670336\"]\n  12 [size=\"98859008\", alpha=\"0.15\", expect_size=\"49429504\"] \n  12 -> 24 [size =\"49429504\"]\n  12 -> 25 [size =\"49429504\"]\n  12 -> 29 [size =\"49429504\"]\n  13 [size=\"29544448\", alpha=\"0.10\", expect_size=\"14772224\"] \n  13 -> 23 [size =\"14772224\"]\n  13 -> 24 [size =\"14772224\"]\n  13 -> 26 [size =\"14772224\"]\n  13 -> 28 [size =\"14772224\"]\n  13 -> 29 [size =\"14772224\"]\n  14 [size=\"35780608\", alpha=\"0.15\", expect_size=\"17890304\"] \n  14 -> 29 [size =\"17890304\"]\n  15 [size=\"94896128\", alpha=\"0.18\", expect_size=\"47448064\"] \n  15 -> 21 [size =\"47448064\"]\n  15 -> 23 [size =\"47448064\"]\n  15 -> 26 [size =\"47448064\"]\n  15 -> 27 [size =\"47448064\"]\n  16 [size=\"80076800\", alpha=\"0.10\", expect_size=\"40038400\"] \n  16 -> 21 [size =\"40038400\"]\n  16 -> 27 [size =\"40038400\"]\n  17 [size=\"33286144\", alpha=\"0.13\", expect_size=\"16643072\"] \n  17 -> 21 [size =\"16643072\"]\n  17 -> 27 [size =\"16643072\"]\n  17 -> 28 [size =\"16643072\"]\n  18 [size=\"37541888\", alpha=\"0.11\", expect_size=\"18770944\"] \n  18 -> 22 [size =\"18770944\"]\n  18 -> 23 [size =\"18770944\"]\n  18 -> 26 [size =\"18770944\"]\n  18 -> 27 [size =\"18770944\"]\n  18 -> 29 [size =\"18770944\"]\n  19 [size=\"41621504\", alpha=\"0.19\", expect_size=\"20810752\"] \n  19 -> 23 [size =\"20810752\"]\n  19 -> 25 [size =\"20810752\"]\n  19 -> 28 [size =\"20810752\"]\n  20 [size=\"52623360\", alpha=\"0.02\", expect_size=\"26311680\"] \n  21 [size=\"11472896\", alpha=\"0.03\", expect_size=\"5736448\"] \n  22 [size=\"62459904\", alpha=\"0.08\", expect_size=\"31229952\"] \n  23 [size=\"39202816\", alpha=\"0.01\", expect_size=\"19601408\"] \n  24 [size=\"87570432\", alpha=\"0.08\", expect_size=\"43785216\"] \n  25 [size=\"61976576\", alpha=\"0.09\", expect_size=\"30988288\"] \n  26 [size=\"50923520\", alpha=\"0.18\", expect_size=\"25461760\"] \n  27 [size=\"96661504\", alpha=\"0.09\", expect_size=\"48330752\"] \n  27 -> 30 [size =\"48330752\"]\n  28 [size=\"63889408\", alpha=\"0.11\", expect_size=\"31944704\"] \n  29 [size=\"19865600\", alpha=\"0.05\", expect_size=\"9932800\"] \n  29 -> 30 [size =\"9932800\"]\n  30 [size=\"16101376\", alpha=\"0.00\", expect_size=\"8050688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26193920\", alpha=\"0.17\", expect_size=\"7858176\"] \n  1 -> 16 [size =\"7858176\"]\n  1 -> 19 [size =\"7858176\"]\n  1 -> 20 [size =\"7858176\"]\n  1 -> 21 [size =\"7858176\"]\n  1 -> 22 [size =\"7858176\"]\n  1 -> 28 [size =\"7858176\"]\n  1 -> 30 [size =\"7858176\"]\n  2 [size=\"83725653\", alpha=\"0.05\", expect_size=\"25117696\"] \n  2 -> 15 [size =\"25117696\"]\n  2 -> 22 [size =\"25117696\"]\n  2 -> 28 [size =\"25117696\"]\n  2 -> 29 [size =\"25117696\"]\n  2 -> 30 [size =\"25117696\"]\n  3 [size=\"147722240\", alpha=\"0.09\", expect_size=\"44316672\"] \n  3 -> 15 [size =\"44316672\"]\n  3 -> 16 [size =\"44316672\"]\n  3 -> 19 [size =\"44316672\"]\n  3 -> 27 [size =\"44316672\"]\n  4 [size=\"31211520\", alpha=\"0.06\", expect_size=\"9363456\"] \n  4 -> 14 [size =\"9363456\"]\n  4 -> 15 [size =\"9363456\"]\n  4 -> 30 [size =\"9363456\"]\n  5 [size=\"128361813\", alpha=\"0.01\", expect_size=\"38508544\"] \n  5 -> 21 [size =\"38508544\"]\n  5 -> 29 [size =\"38508544\"]\n  6 [size=\"47237120\", alpha=\"0.05\", expect_size=\"14171136\"] \n  6 -> 14 [size =\"14171136\"]\n  6 -> 17 [size =\"14171136\"]\n  6 -> 18 [size =\"14171136\"]\n  6 -> 19 [size =\"14171136\"]\n  6 -> 20 [size =\"14171136\"]\n  6 -> 22 [size =\"14171136\"]\n  6 -> 23 [size =\"14171136\"]\n  7 [size=\"57518080\", alpha=\"0.01\", expect_size=\"17255424\"] \n  7 -> 17 [size =\"17255424\"]\n  7 -> 24 [size =\"17255424\"]\n  7 -> 29 [size =\"17255424\"]\n  8 [size=\"83551573\", alpha=\"0.19\", expect_size=\"25065472\"] \n  8 -> 15 [size =\"25065472\"]\n  8 -> 17 [size =\"25065472\"]\n  8 -> 19 [size =\"25065472\"]\n  8 -> 21 [size =\"25065472\"]\n  8 -> 24 [size =\"25065472\"]\n  8 -> 28 [size =\"25065472\"]\n  8 -> 29 [size =\"25065472\"]\n  8 -> 30 [size =\"25065472\"]\n  9 [size=\"66607787\", alpha=\"0.17\", expect_size=\"19982336\"] \n  9 -> 14 [size =\"19982336\"]\n  9 -> 20 [size =\"19982336\"]\n  9 -> 28 [size =\"19982336\"]\n  9 -> 29 [size =\"19982336\"]\n  9 -> 30 [size =\"19982336\"]\n  10 [size=\"28334080\", alpha=\"0.20\", expect_size=\"8500224\"] \n  10 -> 15 [size =\"8500224\"]\n  10 -> 16 [size =\"8500224\"]\n  10 -> 18 [size =\"8500224\"]\n  10 -> 20 [size =\"8500224\"]\n  10 -> 25 [size =\"8500224\"]\n  10 -> 27 [size =\"8500224\"]\n  10 -> 29 [size =\"8500224\"]\n  11 [size=\"111315627\", alpha=\"0.19\", expect_size=\"33394688\"] \n  11 -> 20 [size =\"33394688\"]\n  11 -> 21 [size =\"33394688\"]\n  11 -> 22 [size =\"33394688\"]\n  11 -> 24 [size =\"33394688\"]\n  11 -> 26 [size =\"33394688\"]\n  11 -> 27 [size =\"33394688\"]\n  11 -> 29 [size =\"33394688\"]\n  12 [size=\"84944213\", alpha=\"0.05\", expect_size=\"25483264\"] \n  12 -> 17 [size =\"25483264\"]\n  12 -> 21 [size =\"25483264\"]\n  12 -> 22 [size =\"25483264\"]\n  12 -> 27 [size =\"25483264\"]\n  13 [size=\"125631147\", alpha=\"0.04\", expect_size=\"37689344\"] \n  13 -> 17 [size =\"37689344\"]\n  13 -> 19 [size =\"37689344\"]\n  13 -> 20 [size =\"37689344\"]\n  13 -> 21 [size =\"37689344\"]\n  13 -> 22 [size =\"37689344\"]\n  13 -> 23 [size =\"37689344\"]\n  13 -> 24 [size =\"37689344\"]\n  14 [size=\"35959467\", alpha=\"0.11\", expect_size=\"10787840\"] \n  15 [size=\"82827947\", alpha=\"0.12\", expect_size=\"24848384\"] \n  16 [size=\"90910720\", alpha=\"0.17\", expect_size=\"27273216\"] \n  17 [size=\"132795733\", alpha=\"0.19\", expect_size=\"39838720\"] \n  18 [size=\"142906027\", alpha=\"0.20\", expect_size=\"42871808\"] \n  19 [size=\"133990400\", alpha=\"0.19\", expect_size=\"40197120\"] \n  20 [size=\"112370347\", alpha=\"0.16\", expect_size=\"33711104\"] \n  21 [size=\"109977600\", alpha=\"0.15\", expect_size=\"32993280\"] \n  22 [size=\"100778667\", alpha=\"0.02\", expect_size=\"30233600\"] \n  23 [size=\"137949867\", alpha=\"0.05\", expect_size=\"41384960\"] \n  24 [size=\"165918720\", alpha=\"0.10\", expect_size=\"49775616\"] \n  25 [size=\"95808853\", alpha=\"0.09\", expect_size=\"28742656\"] \n  26 [size=\"34280107\", alpha=\"0.12\", expect_size=\"10284032\"] \n  27 [size=\"167758507\", alpha=\"0.01\", expect_size=\"50327552\"] \n  28 [size=\"163560107\", alpha=\"0.17\", expect_size=\"49068032\"] \n  29 [size=\"162228907\", alpha=\"0.00\", expect_size=\"48668672\"] \n  30 [size=\"153081173\", alpha=\"0.04\", expect_size=\"45924352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29454336\", alpha=\"0.10\", expect_size=\"14727168\"] \n  1 -> 13 [size =\"14727168\"]\n  1 -> 16 [size =\"14727168\"]\n  1 -> 21 [size =\"14727168\"]\n  2 [size=\"90640384\", alpha=\"0.02\", expect_size=\"45320192\"] \n  2 -> 14 [size =\"45320192\"]\n  2 -> 16 [size =\"45320192\"]\n  2 -> 21 [size =\"45320192\"]\n  3 [size=\"52899840\", alpha=\"0.14\", expect_size=\"26449920\"] \n  3 -> 12 [size =\"26449920\"]\n  3 -> 14 [size =\"26449920\"]\n  3 -> 15 [size =\"26449920\"]\n  3 -> 17 [size =\"26449920\"]\n  3 -> 18 [size =\"26449920\"]\n  3 -> 19 [size =\"26449920\"]\n  3 -> 21 [size =\"26449920\"]\n  4 [size=\"48431104\", alpha=\"0.19\", expect_size=\"24215552\"] \n  4 -> 12 [size =\"24215552\"]\n  4 -> 14 [size =\"24215552\"]\n  4 -> 16 [size =\"24215552\"]\n  4 -> 18 [size =\"24215552\"]\n  4 -> 20 [size =\"24215552\"]\n  5 [size=\"49661952\", alpha=\"0.13\", expect_size=\"24830976\"] \n  5 -> 10 [size =\"24830976\"]\n  5 -> 16 [size =\"24830976\"]\n  5 -> 17 [size =\"24830976\"]\n  5 -> 18 [size =\"24830976\"]\n  5 -> 21 [size =\"24830976\"]\n  6 [size=\"66207744\", alpha=\"0.05\", expect_size=\"33103872\"] \n  6 -> 10 [size =\"33103872\"]\n  6 -> 11 [size =\"33103872\"]\n  6 -> 14 [size =\"33103872\"]\n  6 -> 17 [size =\"33103872\"]\n  7 [size=\"54867968\", alpha=\"0.10\", expect_size=\"27433984\"] \n  7 -> 11 [size =\"27433984\"]\n  7 -> 12 [size =\"27433984\"]\n  7 -> 13 [size =\"27433984\"]\n  7 -> 14 [size =\"27433984\"]\n  8 [size=\"95627264\", alpha=\"0.17\", expect_size=\"47813632\"] \n  8 -> 13 [size =\"47813632\"]\n  8 -> 15 [size =\"47813632\"]\n  9 [size=\"14989312\", alpha=\"0.12\", expect_size=\"7494656\"] \n  9 -> 19 [size =\"7494656\"]\n  9 -> 20 [size =\"7494656\"]\n  9 -> 21 [size =\"7494656\"]\n  10 [size=\"46958592\", alpha=\"0.15\", expect_size=\"23479296\"] \n  10 -> 23 [size =\"23479296\"]\n  11 [size=\"103266304\", alpha=\"0.03\", expect_size=\"51633152\"] \n  11 -> 23 [size =\"51633152\"]\n  12 [size=\"57647104\", alpha=\"0.01\", expect_size=\"28823552\"] \n  12 -> 26 [size =\"28823552\"]\n  13 [size=\"68083712\", alpha=\"0.10\", expect_size=\"34041856\"] \n  13 -> 22 [size =\"34041856\"]\n  13 -> 23 [size =\"34041856\"]\n  13 -> 25 [size =\"34041856\"]\n  13 -> 26 [size =\"34041856\"]\n  13 -> 28 [size =\"34041856\"]\n  14 [size=\"37773312\", alpha=\"0.03\", expect_size=\"18886656\"] \n  14 -> 23 [size =\"18886656\"]\n  14 -> 24 [size =\"18886656\"]\n  14 -> 27 [size =\"18886656\"]\n  15 [size=\"35299328\", alpha=\"0.18\", expect_size=\"17649664\"] \n  15 -> 23 [size =\"17649664\"]\n  15 -> 24 [size =\"17649664\"]\n  15 -> 25 [size =\"17649664\"]\n  16 [size=\"94412800\", alpha=\"0.16\", expect_size=\"47206400\"] \n  16 -> 23 [size =\"47206400\"]\n  16 -> 24 [size =\"47206400\"]\n  16 -> 25 [size =\"47206400\"]\n  17 [size=\"22087680\", alpha=\"0.09\", expect_size=\"11043840\"] \n  17 -> 24 [size =\"11043840\"]\n  17 -> 25 [size =\"11043840\"]\n  17 -> 26 [size =\"11043840\"]\n  17 -> 27 [size =\"11043840\"]\n  17 -> 28 [size =\"11043840\"]\n  18 [size=\"67225600\", alpha=\"0.04\", expect_size=\"33612800\"] \n  18 -> 23 [size =\"33612800\"]\n  18 -> 25 [size =\"33612800\"]\n  19 [size=\"52379648\", alpha=\"0.08\", expect_size=\"26189824\"] \n  19 -> 24 [size =\"26189824\"]\n  19 -> 26 [size =\"26189824\"]\n  19 -> 27 [size =\"26189824\"]\n  20 [size=\"14745600\", alpha=\"0.09\", expect_size=\"7372800\"] \n  20 -> 22 [size =\"7372800\"]\n  20 -> 23 [size =\"7372800\"]\n  20 -> 27 [size =\"7372800\"]\n  21 [size=\"86726656\", alpha=\"0.14\", expect_size=\"43363328\"] \n  21 -> 24 [size =\"43363328\"]\n  21 -> 25 [size =\"43363328\"]\n  22 [size=\"98670592\", alpha=\"0.16\", expect_size=\"49335296\"] \n  22 -> 29 [size =\"49335296\"]\n  23 [size=\"10612736\", alpha=\"0.07\", expect_size=\"5306368\"] \n  23 -> 29 [size =\"5306368\"]\n  24 [size=\"55875584\", alpha=\"0.06\", expect_size=\"27937792\"] \n  24 -> 29 [size =\"27937792\"]\n  25 [size=\"71892992\", alpha=\"0.14\", expect_size=\"35946496\"] \n  25 -> 29 [size =\"35946496\"]\n  26 [size=\"61493248\", alpha=\"0.13\", expect_size=\"30746624\"] \n  27 [size=\"41852928\", alpha=\"0.02\", expect_size=\"20926464\"] \n  27 -> 30 [size =\"20926464\"]\n  28 [size=\"85028864\", alpha=\"0.09\", expect_size=\"42514432\"] \n  29 [size=\"103264256\", alpha=\"0.16\", expect_size=\"51632128\"] \n  30 [size=\"46108672\", alpha=\"0.12\", expect_size=\"23054336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58999467\", alpha=\"0.11\", expect_size=\"17699840\"] \n  1 -> 13 [size =\"17699840\"]\n  1 -> 15 [size =\"17699840\"]\n  1 -> 16 [size =\"17699840\"]\n  1 -> 17 [size =\"17699840\"]\n  1 -> 19 [size =\"17699840\"]\n  1 -> 20 [size =\"17699840\"]\n  1 -> 24 [size =\"17699840\"]\n  1 -> 27 [size =\"17699840\"]\n  2 [size=\"143643307\", alpha=\"0.19\", expect_size=\"43092992\"] \n  2 -> 14 [size =\"43092992\"]\n  2 -> 15 [size =\"43092992\"]\n  2 -> 17 [size =\"43092992\"]\n  2 -> 22 [size =\"43092992\"]\n  2 -> 23 [size =\"43092992\"]\n  2 -> 24 [size =\"43092992\"]\n  2 -> 24 [size =\"43092992\"]\n  2 -> 26 [size =\"43092992\"]\n  2 -> 27 [size =\"43092992\"]\n  2 -> 28 [size =\"43092992\"]\n  3 [size=\"103563947\", alpha=\"0.09\", expect_size=\"31069184\"] \n  3 -> 15 [size =\"31069184\"]\n  3 -> 16 [size =\"31069184\"]\n  3 -> 17 [size =\"31069184\"]\n  3 -> 23 [size =\"31069184\"]\n  3 -> 23 [size =\"31069184\"]\n  3 -> 24 [size =\"31069184\"]\n  3 -> 26 [size =\"31069184\"]\n  3 -> 26 [size =\"31069184\"]\n  3 -> 27 [size =\"31069184\"]\n  3 -> 29 [size =\"31069184\"]\n  4 [size=\"132570453\", alpha=\"0.10\", expect_size=\"39771136\"] \n  4 -> 13 [size =\"39771136\"]\n  4 -> 15 [size =\"39771136\"]\n  4 -> 16 [size =\"39771136\"]\n  4 -> 17 [size =\"39771136\"]\n  4 -> 18 [size =\"39771136\"]\n  4 -> 22 [size =\"39771136\"]\n  4 -> 27 [size =\"39771136\"]\n  4 -> 29 [size =\"39771136\"]\n  4 -> 30 [size =\"39771136\"]\n  5 [size=\"122494293\", alpha=\"0.15\", expect_size=\"36748288\"] \n  5 -> 14 [size =\"36748288\"]\n  5 -> 16 [size =\"36748288\"]\n  5 -> 16 [size =\"36748288\"]\n  5 -> 17 [size =\"36748288\"]\n  5 -> 19 [size =\"36748288\"]\n  5 -> 20 [size =\"36748288\"]\n  5 -> 23 [size =\"36748288\"]\n  5 -> 28 [size =\"36748288\"]\n  5 -> 29 [size =\"36748288\"]\n  6 [size=\"55521280\", alpha=\"0.18\", expect_size=\"16656384\"] \n  6 -> 14 [size =\"16656384\"]\n  6 -> 15 [size =\"16656384\"]\n  6 -> 16 [size =\"16656384\"]\n  6 -> 17 [size =\"16656384\"]\n  6 -> 20 [size =\"16656384\"]\n  6 -> 25 [size =\"16656384\"]\n  6 -> 28 [size =\"16656384\"]\n  6 -> 29 [size =\"16656384\"]\n  6 -> 29 [size =\"16656384\"]\n  6 -> 30 [size =\"16656384\"]\n  7 [size=\"102222507\", alpha=\"0.17\", expect_size=\"30666752\"] \n  7 -> 12 [size =\"30666752\"]\n  7 -> 14 [size =\"30666752\"]\n  7 -> 18 [size =\"30666752\"]\n  7 -> 19 [size =\"30666752\"]\n  7 -> 25 [size =\"30666752\"]\n  7 -> 28 [size =\"30666752\"]\n  7 -> 29 [size =\"30666752\"]\n  7 -> 29 [size =\"30666752\"]\n  8 [size=\"158771200\", alpha=\"0.17\", expect_size=\"47631360\"] \n  8 -> 14 [size =\"47631360\"]\n  8 -> 14 [size =\"47631360\"]\n  8 -> 17 [size =\"47631360\"]\n  8 -> 20 [size =\"47631360\"]\n  8 -> 26 [size =\"47631360\"]\n  8 -> 27 [size =\"47631360\"]\n  8 -> 28 [size =\"47631360\"]\n  9 [size=\"118749867\", alpha=\"0.04\", expect_size=\"35624960\"] \n  9 -> 17 [size =\"35624960\"]\n  9 -> 19 [size =\"35624960\"]\n  9 -> 22 [size =\"35624960\"]\n  9 -> 24 [size =\"35624960\"]\n  9 -> 25 [size =\"35624960\"]\n  9 -> 26 [size =\"35624960\"]\n  9 -> 28 [size =\"35624960\"]\n  10 [size=\"145704960\", alpha=\"0.05\", expect_size=\"43711488\"] \n  10 -> 13 [size =\"43711488\"]\n  10 -> 21 [size =\"43711488\"]\n  10 -> 24 [size =\"43711488\"]\n  10 -> 27 [size =\"43711488\"]\n  10 -> 28 [size =\"43711488\"]\n  10 -> 29 [size =\"43711488\"]\n  11 [size=\"95040853\", alpha=\"0.10\", expect_size=\"28512256\"] \n  11 -> 13 [size =\"28512256\"]\n  11 -> 16 [size =\"28512256\"]\n  11 -> 19 [size =\"28512256\"]\n  11 -> 22 [size =\"28512256\"]\n  11 -> 23 [size =\"28512256\"]\n  11 -> 26 [size =\"28512256\"]\n  11 -> 27 [size =\"28512256\"]\n  12 [size=\"26770773\", alpha=\"0.05\", expect_size=\"8031232\"] \n  13 [size=\"173946880\", alpha=\"0.00\", expect_size=\"52184064\"] \n  14 [size=\"89640960\", alpha=\"0.20\", expect_size=\"26892288\"] \n  15 [size=\"168352427\", alpha=\"0.08\", expect_size=\"50505728\"] \n  16 [size=\"132522667\", alpha=\"0.08\", expect_size=\"39756800\"] \n  17 [size=\"117865813\", alpha=\"0.04\", expect_size=\"35359744\"] \n  18 [size=\"96989867\", alpha=\"0.13\", expect_size=\"29096960\"] \n  19 [size=\"73478827\", alpha=\"0.07\", expect_size=\"22043648\"] \n  20 [size=\"108168533\", alpha=\"0.14\", expect_size=\"32450560\"] \n  21 [size=\"151214080\", alpha=\"0.06\", expect_size=\"45364224\"] \n  22 [size=\"73786027\", alpha=\"0.13\", expect_size=\"22135808\"] \n  23 [size=\"112001707\", alpha=\"0.12\", expect_size=\"33600512\"] \n  24 [size=\"114964480\", alpha=\"0.05\", expect_size=\"34489344\"] \n  25 [size=\"114251093\", alpha=\"0.12\", expect_size=\"34275328\"] \n  26 [size=\"174448640\", alpha=\"0.03\", expect_size=\"52334592\"] \n  27 [size=\"78301867\", alpha=\"0.06\", expect_size=\"23490560\"] \n  28 [size=\"113332907\", alpha=\"0.06\", expect_size=\"33999872\"] \n  29 [size=\"58371413\", alpha=\"0.19\", expect_size=\"17511424\"] \n  30 [size=\"116998827\", alpha=\"0.08\", expect_size=\"35099648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16325120\", alpha=\"0.19\", expect_size=\"6530048\"] \n  1 -> 7 [size =\"6530048\"]\n  2 [size=\"129290240\", alpha=\"0.16\", expect_size=\"51716096\"] \n  2 -> 5 [size =\"51716096\"]\n  2 -> 6 [size =\"51716096\"]\n  2 -> 8 [size =\"51716096\"]\n  3 [size=\"84659200\", alpha=\"0.16\", expect_size=\"33863680\"] \n  3 -> 9 [size =\"33863680\"]\n  4 [size=\"29465600\", alpha=\"0.18\", expect_size=\"11786240\"] \n  5 [size=\"40785920\", alpha=\"0.09\", expect_size=\"16314368\"] \n  5 -> 11 [size =\"16314368\"]\n  6 [size=\"45905920\", alpha=\"0.08\", expect_size=\"18362368\"] \n  6 -> 13 [size =\"18362368\"]\n  7 [size=\"109304320\", alpha=\"0.12\", expect_size=\"43721728\"] \n  7 -> 10 [size =\"43721728\"]\n  7 -> 11 [size =\"43721728\"]\n  7 -> 12 [size =\"43721728\"]\n  7 -> 13 [size =\"43721728\"]\n  8 [size=\"61857280\", alpha=\"0.11\", expect_size=\"24742912\"] \n  8 -> 10 [size =\"24742912\"]\n  9 [size=\"93867520\", alpha=\"0.18\", expect_size=\"37547008\"] \n  9 -> 11 [size =\"37547008\"]\n  10 [size=\"20247040\", alpha=\"0.03\", expect_size=\"8098816\"] \n  10 -> 14 [size =\"8098816\"]\n  10 -> 15 [size =\"8098816\"]\n  10 -> 16 [size =\"8098816\"]\n  11 [size=\"74406400\", alpha=\"0.17\", expect_size=\"29762560\"] \n  11 -> 17 [size =\"29762560\"]\n  12 [size=\"68185600\", alpha=\"0.08\", expect_size=\"27274240\"] \n  12 -> 15 [size =\"27274240\"]\n  12 -> 16 [size =\"27274240\"]\n  12 -> 17 [size =\"27274240\"]\n  13 [size=\"42403840\", alpha=\"0.01\", expect_size=\"16961536\"] \n  13 -> 15 [size =\"16961536\"]\n  13 -> 17 [size =\"16961536\"]\n  14 [size=\"19868160\", alpha=\"0.06\", expect_size=\"7947264\"] \n  14 -> 23 [size =\"7947264\"]\n  15 [size=\"125457920\", alpha=\"0.10\", expect_size=\"50183168\"] \n  15 -> 20 [size =\"50183168\"]\n  15 -> 21 [size =\"50183168\"]\n  15 -> 23 [size =\"50183168\"]\n  16 [size=\"60026880\", alpha=\"0.03\", expect_size=\"24010752\"] \n  16 -> 18 [size =\"24010752\"]\n  16 -> 19 [size =\"24010752\"]\n  16 -> 21 [size =\"24010752\"]\n  16 -> 22 [size =\"24010752\"]\n  17 [size=\"106045440\", alpha=\"0.04\", expect_size=\"42418176\"] \n  17 -> 19 [size =\"42418176\"]\n  17 -> 21 [size =\"42418176\"]\n  17 -> 22 [size =\"42418176\"]\n  17 -> 23 [size =\"42418176\"]\n  18 [size=\"60789760\", alpha=\"0.03\", expect_size=\"24315904\"] \n  18 -> 24 [size =\"24315904\"]\n  18 -> 26 [size =\"24315904\"]\n  18 -> 27 [size =\"24315904\"]\n  19 [size=\"126231040\", alpha=\"0.12\", expect_size=\"50492416\"] \n  19 -> 26 [size =\"50492416\"]\n  19 -> 26 [size =\"50492416\"]\n  20 [size=\"117268480\", alpha=\"0.19\", expect_size=\"46907392\"] \n  20 -> 24 [size =\"46907392\"]\n  21 [size=\"19092480\", alpha=\"0.08\", expect_size=\"7636992\"] \n  21 -> 25 [size =\"7636992\"]\n  22 [size=\"116531200\", alpha=\"0.16\", expect_size=\"46612480\"] \n  22 -> 25 [size =\"46612480\"]\n  22 -> 27 [size =\"46612480\"]\n  23 [size=\"43560960\", alpha=\"0.16\", expect_size=\"17424384\"] \n  23 -> 24 [size =\"17424384\"]\n  23 -> 26 [size =\"17424384\"]\n  23 -> 27 [size =\"17424384\"]\n  24 [size=\"47370240\", alpha=\"0.18\", expect_size=\"18948096\"] \n  24 -> 28 [size =\"18948096\"]\n  24 -> 30 [size =\"18948096\"]\n  25 [size=\"83087360\", alpha=\"0.06\", expect_size=\"33234944\"] \n  25 -> 28 [size =\"33234944\"]\n  25 -> 29 [size =\"33234944\"]\n  26 [size=\"22515200\", alpha=\"0.19\", expect_size=\"9006080\"] \n  26 -> 29 [size =\"9006080\"]\n  27 [size=\"37562880\", alpha=\"0.08\", expect_size=\"15025152\"] \n  27 -> 28 [size =\"15025152\"]\n  27 -> 30 [size =\"15025152\"]\n  28 [size=\"60203520\", alpha=\"0.06\", expect_size=\"24081408\"] \n  29 [size=\"76288000\", alpha=\"0.18\", expect_size=\"30515200\"] \n  30 [size=\"27409920\", alpha=\"0.10\", expect_size=\"10963968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114298880\", alpha=\"0.02\", expect_size=\"34289664\"] \n  1 -> 5 [size =\"34289664\"]\n  1 -> 6 [size =\"34289664\"]\n  1 -> 7 [size =\"34289664\"]\n  1 -> 8 [size =\"34289664\"]\n  2 [size=\"96382293\", alpha=\"0.12\", expect_size=\"28914688\"] \n  2 -> 6 [size =\"28914688\"]\n  2 -> 7 [size =\"28914688\"]\n  3 [size=\"50100907\", alpha=\"0.14\", expect_size=\"15030272\"] \n  3 -> 6 [size =\"15030272\"]\n  4 [size=\"95897600\", alpha=\"0.16\", expect_size=\"28769280\"] \n  4 -> 5 [size =\"28769280\"]\n  4 -> 8 [size =\"28769280\"]\n  5 [size=\"26016427\", alpha=\"0.01\", expect_size=\"7804928\"] \n  5 -> 9 [size =\"7804928\"]\n  5 -> 12 [size =\"7804928\"]\n  5 -> 13 [size =\"7804928\"]\n  5 -> 14 [size =\"7804928\"]\n  5 -> 15 [size =\"7804928\"]\n  6 [size=\"124235093\", alpha=\"0.17\", expect_size=\"37270528\"] \n  6 -> 11 [size =\"37270528\"]\n  7 [size=\"59644587\", alpha=\"0.10\", expect_size=\"17893376\"] \n  7 -> 11 [size =\"17893376\"]\n  7 -> 14 [size =\"17893376\"]\n  8 [size=\"31802027\", alpha=\"0.06\", expect_size=\"9540608\"] \n  8 -> 10 [size =\"9540608\"]\n  8 -> 12 [size =\"9540608\"]\n  8 -> 14 [size =\"9540608\"]\n  8 -> 15 [size =\"9540608\"]\n  9 [size=\"108332373\", alpha=\"0.05\", expect_size=\"32499712\"] \n  10 [size=\"110578347\", alpha=\"0.19\", expect_size=\"33173504\"] \n  11 [size=\"60098560\", alpha=\"0.14\", expect_size=\"18029568\"] \n  11 -> 16 [size =\"18029568\"]\n  12 [size=\"78049280\", alpha=\"0.02\", expect_size=\"23414784\"] \n  12 -> 17 [size =\"23414784\"]\n  13 [size=\"169465173\", alpha=\"0.04\", expect_size=\"50839552\"] \n  14 [size=\"126201173\", alpha=\"0.10\", expect_size=\"37860352\"] \n  15 [size=\"91262293\", alpha=\"0.07\", expect_size=\"27378688\"] \n  16 [size=\"99068587\", alpha=\"0.14\", expect_size=\"29720576\"] \n  16 -> 18 [size =\"29720576\"]\n  16 -> 19 [size =\"29720576\"]\n  16 -> 20 [size =\"29720576\"]\n  17 [size=\"74622293\", alpha=\"0.04\", expect_size=\"22386688\"] \n  17 -> 18 [size =\"22386688\"]\n  17 -> 19 [size =\"22386688\"]\n  17 -> 20 [size =\"22386688\"]\n  17 -> 21 [size =\"22386688\"]\n  18 [size=\"153582933\", alpha=\"0.15\", expect_size=\"46074880\"] \n  18 -> 24 [size =\"46074880\"]\n  18 -> 25 [size =\"46074880\"]\n  18 -> 26 [size =\"46074880\"]\n  19 [size=\"40444587\", alpha=\"0.13\", expect_size=\"12133376\"] \n  19 -> 22 [size =\"12133376\"]\n  19 -> 23 [size =\"12133376\"]\n  19 -> 25 [size =\"12133376\"]\n  20 [size=\"80442027\", alpha=\"0.17\", expect_size=\"24132608\"] \n  21 [size=\"70785707\", alpha=\"0.14\", expect_size=\"21235712\"] \n  21 -> 22 [size =\"21235712\"]\n  21 -> 26 [size =\"21235712\"]\n  22 [size=\"24634027\", alpha=\"0.20\", expect_size=\"7390208\"] \n  22 -> 27 [size =\"7390208\"]\n  22 -> 30 [size =\"7390208\"]\n  23 [size=\"37908480\", alpha=\"0.10\", expect_size=\"11372544\"] \n  23 -> 27 [size =\"11372544\"]\n  23 -> 30 [size =\"11372544\"]\n  24 [size=\"72000853\", alpha=\"0.11\", expect_size=\"21600256\"] \n  24 -> 28 [size =\"21600256\"]\n  25 [size=\"152804693\", alpha=\"0.12\", expect_size=\"45841408\"] \n  25 -> 28 [size =\"45841408\"]\n  25 -> 30 [size =\"45841408\"]\n  26 [size=\"48960853\", alpha=\"0.08\", expect_size=\"14688256\"] \n  26 -> 27 [size =\"14688256\"]\n  26 -> 28 [size =\"14688256\"]\n  26 -> 29 [size =\"14688256\"]\n  27 [size=\"162225493\", alpha=\"0.08\", expect_size=\"48667648\"] \n  28 [size=\"36454400\", alpha=\"0.10\", expect_size=\"10936320\"] \n  29 [size=\"157248853\", alpha=\"0.04\", expect_size=\"47174656\"] \n  30 [size=\"104642560\", alpha=\"0.10\", expect_size=\"31392768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44144640\", alpha=\"0.18\", expect_size=\"13243392\"] \n  1 -> 13 [size =\"13243392\"]\n  1 -> 18 [size =\"13243392\"]\n  2 [size=\"49756160\", alpha=\"0.16\", expect_size=\"14926848\"] \n  2 -> 14 [size =\"14926848\"]\n  3 [size=\"99283627\", alpha=\"0.08\", expect_size=\"29785088\"] \n  3 -> 14 [size =\"29785088\"]\n  4 [size=\"66304000\", alpha=\"0.13\", expect_size=\"19891200\"] \n  4 -> 13 [size =\"19891200\"]\n  4 -> 14 [size =\"19891200\"]\n  4 -> 15 [size =\"19891200\"]\n  4 -> 17 [size =\"19891200\"]\n  5 [size=\"74301440\", alpha=\"0.13\", expect_size=\"22290432\"] \n  5 -> 12 [size =\"22290432\"]\n  5 -> 18 [size =\"22290432\"]\n  6 [size=\"155508053\", alpha=\"0.13\", expect_size=\"46652416\"] \n  6 -> 16 [size =\"46652416\"]\n  6 -> 17 [size =\"46652416\"]\n  7 [size=\"30723413\", alpha=\"0.06\", expect_size=\"9217024\"] \n  7 -> 13 [size =\"9217024\"]\n  7 -> 14 [size =\"9217024\"]\n  7 -> 16 [size =\"9217024\"]\n  7 -> 18 [size =\"9217024\"]\n  8 [size=\"131819520\", alpha=\"0.18\", expect_size=\"39545856\"] \n  8 -> 12 [size =\"39545856\"]\n  8 -> 16 [size =\"39545856\"]\n  8 -> 17 [size =\"39545856\"]\n  8 -> 18 [size =\"39545856\"]\n  9 [size=\"61040640\", alpha=\"0.00\", expect_size=\"18312192\"] \n  9 -> 13 [size =\"18312192\"]\n  9 -> 17 [size =\"18312192\"]\n  10 [size=\"171793067\", alpha=\"0.12\", expect_size=\"51537920\"] \n  11 [size=\"38997333\", alpha=\"0.05\", expect_size=\"11699200\"] \n  11 -> 12 [size =\"11699200\"]\n  11 -> 13 [size =\"11699200\"]\n  12 [size=\"23691947\", alpha=\"0.12\", expect_size=\"7107584\"] \n  12 -> 22 [size =\"7107584\"]\n  12 -> 25 [size =\"7107584\"]\n  12 -> 26 [size =\"7107584\"]\n  12 -> 27 [size =\"7107584\"]\n  13 [size=\"147264853\", alpha=\"0.16\", expect_size=\"44179456\"] \n  13 -> 19 [size =\"44179456\"]\n  13 -> 23 [size =\"44179456\"]\n  13 -> 26 [size =\"44179456\"]\n  13 -> 27 [size =\"44179456\"]\n  13 -> 28 [size =\"44179456\"]\n  14 [size=\"50800640\", alpha=\"0.19\", expect_size=\"15240192\"] \n  14 -> 21 [size =\"15240192\"]\n  14 -> 23 [size =\"15240192\"]\n  15 [size=\"152709120\", alpha=\"0.05\", expect_size=\"45812736\"] \n  15 -> 26 [size =\"45812736\"]\n  15 -> 28 [size =\"45812736\"]\n  16 [size=\"100662613\", alpha=\"0.15\", expect_size=\"30198784\"] \n  16 -> 23 [size =\"30198784\"]\n  16 -> 25 [size =\"30198784\"]\n  17 [size=\"47837867\", alpha=\"0.07\", expect_size=\"14351360\"] \n  17 -> 20 [size =\"14351360\"]\n  17 -> 22 [size =\"14351360\"]\n  17 -> 24 [size =\"14351360\"]\n  17 -> 25 [size =\"14351360\"]\n  18 [size=\"96791893\", alpha=\"0.15\", expect_size=\"29037568\"] \n  18 -> 19 [size =\"29037568\"]\n  18 -> 21 [size =\"29037568\"]\n  18 -> 22 [size =\"29037568\"]\n  18 -> 27 [size =\"29037568\"]\n  18 -> 28 [size =\"29037568\"]\n  19 [size=\"81401173\", alpha=\"0.09\", expect_size=\"24420352\"] \n  20 [size=\"85128533\", alpha=\"0.06\", expect_size=\"25538560\"] \n  20 -> 29 [size =\"25538560\"]\n  21 [size=\"22944427\", alpha=\"0.07\", expect_size=\"6883328\"] \n  22 [size=\"59569493\", alpha=\"0.11\", expect_size=\"17870848\"] \n  23 [size=\"156187307\", alpha=\"0.06\", expect_size=\"46856192\"] \n  23 -> 29 [size =\"46856192\"]\n  24 [size=\"127651840\", alpha=\"0.08\", expect_size=\"38295552\"] \n  24 -> 30 [size =\"38295552\"]\n  25 [size=\"117749760\", alpha=\"0.16\", expect_size=\"35324928\"] \n  25 -> 29 [size =\"35324928\"]\n  26 [size=\"159532373\", alpha=\"0.02\", expect_size=\"47859712\"] \n  27 [size=\"118572373\", alpha=\"0.10\", expect_size=\"35571712\"] \n  27 -> 29 [size =\"35571712\"]\n  28 [size=\"18759680\", alpha=\"0.12\", expect_size=\"5627904\"] \n  29 [size=\"139615573\", alpha=\"0.20\", expect_size=\"41884672\"] \n  30 [size=\"55749973\", alpha=\"0.07\", expect_size=\"16724992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61006507\", alpha=\"0.18\", expect_size=\"18301952\"] \n  1 -> 8 [size =\"18301952\"]\n  1 -> 10 [size =\"18301952\"]\n  1 -> 12 [size =\"18301952\"]\n  1 -> 14 [size =\"18301952\"]\n  1 -> 16 [size =\"18301952\"]\n  1 -> 16 [size =\"18301952\"]\n  1 -> 17 [size =\"18301952\"]\n  1 -> 20 [size =\"18301952\"]\n  2 [size=\"162706773\", alpha=\"0.18\", expect_size=\"48812032\"] \n  2 -> 14 [size =\"48812032\"]\n  2 -> 16 [size =\"48812032\"]\n  2 -> 17 [size =\"48812032\"]\n  2 -> 20 [size =\"48812032\"]\n  3 [size=\"21135360\", alpha=\"0.13\", expect_size=\"6340608\"] \n  3 -> 9 [size =\"6340608\"]\n  3 -> 10 [size =\"6340608\"]\n  3 -> 14 [size =\"6340608\"]\n  3 -> 15 [size =\"6340608\"]\n  3 -> 16 [size =\"6340608\"]\n  3 -> 19 [size =\"6340608\"]\n  3 -> 20 [size =\"6340608\"]\n  4 [size=\"163676160\", alpha=\"0.06\", expect_size=\"49102848\"] \n  4 -> 8 [size =\"49102848\"]\n  4 -> 9 [size =\"49102848\"]\n  4 -> 10 [size =\"49102848\"]\n  4 -> 12 [size =\"49102848\"]\n  4 -> 13 [size =\"49102848\"]\n  4 -> 14 [size =\"49102848\"]\n  4 -> 17 [size =\"49102848\"]\n  4 -> 18 [size =\"49102848\"]\n  4 -> 20 [size =\"49102848\"]\n  5 [size=\"118326613\", alpha=\"0.00\", expect_size=\"35497984\"] \n  5 -> 10 [size =\"35497984\"]\n  5 -> 11 [size =\"35497984\"]\n  5 -> 13 [size =\"35497984\"]\n  5 -> 14 [size =\"35497984\"]\n  5 -> 16 [size =\"35497984\"]\n  5 -> 18 [size =\"35497984\"]\n  5 -> 20 [size =\"35497984\"]\n  6 [size=\"159641600\", alpha=\"0.13\", expect_size=\"47892480\"] \n  6 -> 9 [size =\"47892480\"]\n  6 -> 10 [size =\"47892480\"]\n  6 -> 13 [size =\"47892480\"]\n  6 -> 14 [size =\"47892480\"]\n  6 -> 16 [size =\"47892480\"]\n  6 -> 17 [size =\"47892480\"]\n  6 -> 18 [size =\"47892480\"]\n  6 -> 20 [size =\"47892480\"]\n  7 [size=\"82036053\", alpha=\"0.13\", expect_size=\"24610816\"] \n  7 -> 10 [size =\"24610816\"]\n  7 -> 13 [size =\"24610816\"]\n  7 -> 13 [size =\"24610816\"]\n  7 -> 14 [size =\"24610816\"]\n  7 -> 15 [size =\"24610816\"]\n  7 -> 16 [size =\"24610816\"]\n  7 -> 17 [size =\"24610816\"]\n  7 -> 20 [size =\"24610816\"]\n  8 [size=\"69048320\", alpha=\"0.08\", expect_size=\"20714496\"] \n  8 -> 22 [size =\"20714496\"]\n  8 -> 23 [size =\"20714496\"]\n  8 -> 25 [size =\"20714496\"]\n  8 -> 27 [size =\"20714496\"]\n  8 -> 29 [size =\"20714496\"]\n  9 [size=\"121924267\", alpha=\"0.11\", expect_size=\"36577280\"] \n  9 -> 22 [size =\"36577280\"]\n  9 -> 23 [size =\"36577280\"]\n  9 -> 25 [size =\"36577280\"]\n  10 [size=\"20401493\", alpha=\"0.09\", expect_size=\"6120448\"] \n  10 -> 21 [size =\"6120448\"]\n  10 -> 22 [size =\"6120448\"]\n  10 -> 23 [size =\"6120448\"]\n  10 -> 24 [size =\"6120448\"]\n  10 -> 25 [size =\"6120448\"]\n  11 [size=\"124136107\", alpha=\"0.04\", expect_size=\"37240832\"] \n  11 -> 21 [size =\"37240832\"]\n  11 -> 23 [size =\"37240832\"]\n  11 -> 23 [size =\"37240832\"]\n  11 -> 25 [size =\"37240832\"]\n  11 -> 28 [size =\"37240832\"]\n  12 [size=\"109765973\", alpha=\"0.10\", expect_size=\"32929792\"] \n  12 -> 21 [size =\"32929792\"]\n  12 -> 23 [size =\"32929792\"]\n  12 -> 25 [size =\"32929792\"]\n  12 -> 25 [size =\"32929792\"]\n  12 -> 28 [size =\"32929792\"]\n  12 -> 30 [size =\"32929792\"]\n  13 [size=\"93713067\", alpha=\"0.03\", expect_size=\"28113920\"] \n  13 -> 21 [size =\"28113920\"]\n  13 -> 23 [size =\"28113920\"]\n  13 -> 28 [size =\"28113920\"]\n  14 [size=\"39062187\", alpha=\"0.04\", expect_size=\"11718656\"] \n  14 -> 27 [size =\"11718656\"]\n  14 -> 28 [size =\"11718656\"]\n  15 [size=\"83858773\", alpha=\"0.02\", expect_size=\"25157632\"] \n  15 -> 22 [size =\"25157632\"]\n  15 -> 23 [size =\"25157632\"]\n  15 -> 27 [size =\"25157632\"]\n  16 [size=\"85155840\", alpha=\"0.09\", expect_size=\"25546752\"] \n  16 -> 22 [size =\"25546752\"]\n  17 [size=\"30402560\", alpha=\"0.17\", expect_size=\"9120768\"] \n  17 -> 21 [size =\"9120768\"]\n  17 -> 22 [size =\"9120768\"]\n  17 -> 25 [size =\"9120768\"]\n  17 -> 26 [size =\"9120768\"]\n  17 -> 27 [size =\"9120768\"]\n  18 [size=\"132788907\", alpha=\"0.14\", expect_size=\"39836672\"] \n  18 -> 22 [size =\"39836672\"]\n  18 -> 22 [size =\"39836672\"]\n  18 -> 23 [size =\"39836672\"]\n  18 -> 29 [size =\"39836672\"]\n  19 [size=\"35048107\", alpha=\"0.03\", expect_size=\"10514432\"] \n  19 -> 23 [size =\"10514432\"]\n  19 -> 25 [size =\"10514432\"]\n  19 -> 26 [size =\"10514432\"]\n  20 [size=\"124839253\", alpha=\"0.17\", expect_size=\"37451776\"] \n  20 -> 23 [size =\"37451776\"]\n  20 -> 27 [size =\"37451776\"]\n  21 [size=\"37184853\", alpha=\"0.16\", expect_size=\"11155456\"] \n  22 [size=\"65570133\", alpha=\"0.14\", expect_size=\"19671040\"] \n  23 [size=\"140718080\", alpha=\"0.13\", expect_size=\"42215424\"] \n  24 [size=\"161310720\", alpha=\"0.10\", expect_size=\"48393216\"] \n  25 [size=\"35153920\", alpha=\"0.20\", expect_size=\"10546176\"] \n  26 [size=\"52070400\", alpha=\"0.07\", expect_size=\"15621120\"] \n  27 [size=\"122006187\", alpha=\"0.04\", expect_size=\"36601856\"] \n  28 [size=\"101901653\", alpha=\"0.06\", expect_size=\"30570496\"] \n  29 [size=\"53701973\", alpha=\"0.02\", expect_size=\"16110592\"] \n  30 [size=\"76363093\", alpha=\"0.19\", expect_size=\"22908928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48783360\", alpha=\"0.05\", expect_size=\"14635008\"] \n  1 -> 3 [size =\"14635008\"]\n  1 -> 4 [size =\"14635008\"]\n  2 [size=\"172711253\", alpha=\"0.15\", expect_size=\"51813376\"] \n  2 -> 3 [size =\"51813376\"]\n  2 -> 4 [size =\"51813376\"]\n  3 [size=\"46069760\", alpha=\"0.16\", expect_size=\"13820928\"] \n  3 -> 5 [size =\"13820928\"]\n  4 [size=\"89361067\", alpha=\"0.15\", expect_size=\"26808320\"] \n  4 -> 5 [size =\"26808320\"]\n  4 -> 6 [size =\"26808320\"]\n  5 [size=\"76660053\", alpha=\"0.09\", expect_size=\"22998016\"] \n  5 -> 7 [size =\"22998016\"]\n  6 [size=\"122869760\", alpha=\"0.10\", expect_size=\"36860928\"] \n  6 -> 7 [size =\"36860928\"]\n  7 [size=\"142062933\", alpha=\"0.20\", expect_size=\"42618880\"] \n  7 -> 8 [size =\"42618880\"]\n  8 [size=\"134447787\", alpha=\"0.10\", expect_size=\"40334336\"] \n  8 -> 9 [size =\"40334336\"]\n  9 [size=\"163549867\", alpha=\"0.02\", expect_size=\"49064960\"] \n  9 -> 10 [size =\"49064960\"]\n  10 [size=\"94644907\", alpha=\"0.09\", expect_size=\"28393472\"] \n  10 -> 11 [size =\"28393472\"]\n  11 [size=\"23726080\", alpha=\"0.01\", expect_size=\"7117824\"] \n  11 -> 12 [size =\"7117824\"]\n  12 [size=\"65378987\", alpha=\"0.19\", expect_size=\"19613696\"] \n  12 -> 13 [size =\"19613696\"]\n  12 -> 14 [size =\"19613696\"]\n  13 [size=\"27798187\", alpha=\"0.15\", expect_size=\"8339456\"] \n  13 -> 16 [size =\"8339456\"]\n  14 [size=\"150773760\", alpha=\"0.11\", expect_size=\"45232128\"] \n  14 -> 15 [size =\"45232128\"]\n  14 -> 16 [size =\"45232128\"]\n  15 [size=\"110233600\", alpha=\"0.07\", expect_size=\"33070080\"] \n  15 -> 17 [size =\"33070080\"]\n  15 -> 18 [size =\"33070080\"]\n  16 [size=\"19933867\", alpha=\"0.04\", expect_size=\"5980160\"] \n  16 -> 17 [size =\"5980160\"]\n  17 [size=\"97440427\", alpha=\"0.07\", expect_size=\"29232128\"] \n  17 -> 19 [size =\"29232128\"]\n  18 [size=\"94586880\", alpha=\"0.00\", expect_size=\"28376064\"] \n  18 -> 19 [size =\"28376064\"]\n  19 [size=\"174206293\", alpha=\"0.12\", expect_size=\"52261888\"] \n  19 -> 20 [size =\"52261888\"]\n  19 -> 21 [size =\"52261888\"]\n  20 [size=\"33232213\", alpha=\"0.18\", expect_size=\"9969664\"] \n  20 -> 22 [size =\"9969664\"]\n  20 -> 23 [size =\"9969664\"]\n  21 [size=\"104994133\", alpha=\"0.08\", expect_size=\"31498240\"] \n  21 -> 22 [size =\"31498240\"]\n  21 -> 23 [size =\"31498240\"]\n  22 [size=\"115974827\", alpha=\"0.18\", expect_size=\"34792448\"] \n  22 -> 25 [size =\"34792448\"]\n  23 [size=\"105321813\", alpha=\"0.11\", expect_size=\"31596544\"] \n  23 -> 24 [size =\"31596544\"]\n  23 -> 25 [size =\"31596544\"]\n  24 [size=\"65788587\", alpha=\"0.14\", expect_size=\"19736576\"] \n  24 -> 26 [size =\"19736576\"]\n  24 -> 27 [size =\"19736576\"]\n  25 [size=\"155129173\", alpha=\"0.04\", expect_size=\"46538752\"] \n  25 -> 26 [size =\"46538752\"]\n  25 -> 27 [size =\"46538752\"]\n  26 [size=\"55828480\", alpha=\"0.08\", expect_size=\"16748544\"] \n  26 -> 28 [size =\"16748544\"]\n  27 [size=\"88261973\", alpha=\"0.07\", expect_size=\"26478592\"] \n  27 -> 28 [size =\"26478592\"]\n  28 [size=\"141441707\", alpha=\"0.01\", expect_size=\"42432512\"] \n  28 -> 29 [size =\"42432512\"]\n  28 -> 30 [size =\"42432512\"]\n  29 [size=\"142690987\", alpha=\"0.14\", expect_size=\"42807296\"] \n  30 [size=\"78271147\", alpha=\"0.17\", expect_size=\"23481344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47078400\", alpha=\"0.08\", expect_size=\"18831360\"] \n  1 -> 24 [size =\"18831360\"]\n  1 -> 25 [size =\"18831360\"]\n  1 -> 27 [size =\"18831360\"]\n  1 -> 28 [size =\"18831360\"]\n  2 [size=\"72947200\", alpha=\"0.08\", expect_size=\"29178880\"] \n  2 -> 25 [size =\"29178880\"]\n  2 -> 27 [size =\"29178880\"]\n  2 -> 28 [size =\"29178880\"]\n  3 [size=\"83691520\", alpha=\"0.01\", expect_size=\"33476608\"] \n  3 -> 27 [size =\"33476608\"]\n  3 -> 28 [size =\"33476608\"]\n  4 [size=\"112890880\", alpha=\"0.10\", expect_size=\"45156352\"] \n  4 -> 27 [size =\"45156352\"]\n  4 -> 28 [size =\"45156352\"]\n  5 [size=\"22274560\", alpha=\"0.02\", expect_size=\"8909824\"] \n  5 -> 24 [size =\"8909824\"]\n  5 -> 25 [size =\"8909824\"]\n  5 -> 26 [size =\"8909824\"]\n  6 [size=\"57592320\", alpha=\"0.00\", expect_size=\"23036928\"] \n  6 -> 25 [size =\"23036928\"]\n  6 -> 26 [size =\"23036928\"]\n  6 -> 27 [size =\"23036928\"]\n  7 [size=\"101952000\", alpha=\"0.18\", expect_size=\"40780800\"] \n  7 -> 27 [size =\"40780800\"]\n  7 -> 28 [size =\"40780800\"]\n  7 -> 30 [size =\"40780800\"]\n  8 [size=\"24675840\", alpha=\"0.13\", expect_size=\"9870336\"] \n  9 [size=\"98913280\", alpha=\"0.13\", expect_size=\"39565312\"] \n  9 -> 25 [size =\"39565312\"]\n  9 -> 29 [size =\"39565312\"]\n  9 -> 30 [size =\"39565312\"]\n  10 [size=\"64565760\", alpha=\"0.05\", expect_size=\"25826304\"] \n  11 [size=\"100508160\", alpha=\"0.04\", expect_size=\"40203264\"] \n  11 -> 28 [size =\"40203264\"]\n  11 -> 30 [size =\"40203264\"]\n  12 [size=\"29911040\", alpha=\"0.01\", expect_size=\"11964416\"] \n  12 -> 24 [size =\"11964416\"]\n  12 -> 28 [size =\"11964416\"]\n  12 -> 30 [size =\"11964416\"]\n  13 [size=\"74785280\", alpha=\"0.03\", expect_size=\"29914112\"] \n  14 [size=\"80936960\", alpha=\"0.03\", expect_size=\"32374784\"] \n  14 -> 25 [size =\"32374784\"]\n  14 -> 30 [size =\"32374784\"]\n  15 [size=\"23203840\", alpha=\"0.12\", expect_size=\"9281536\"] \n  15 -> 25 [size =\"9281536\"]\n  15 -> 29 [size =\"9281536\"]\n  15 -> 30 [size =\"9281536\"]\n  16 [size=\"32581120\", alpha=\"0.01\", expect_size=\"13032448\"] \n  16 -> 25 [size =\"13032448\"]\n  16 -> 30 [size =\"13032448\"]\n  17 [size=\"34380800\", alpha=\"0.09\", expect_size=\"13752320\"] \n  17 -> 27 [size =\"13752320\"]\n  17 -> 28 [size =\"13752320\"]\n  17 -> 29 [size =\"13752320\"]\n  18 [size=\"20697600\", alpha=\"0.03\", expect_size=\"8279040\"] \n  18 -> 27 [size =\"8279040\"]\n  19 [size=\"95083520\", alpha=\"0.06\", expect_size=\"38033408\"] \n  19 -> 30 [size =\"38033408\"]\n  20 [size=\"51545600\", alpha=\"0.16\", expect_size=\"20618240\"] \n  20 -> 25 [size =\"20618240\"]\n  20 -> 28 [size =\"20618240\"]\n  21 [size=\"82859520\", alpha=\"0.11\", expect_size=\"33143808\"] \n  21 -> 24 [size =\"33143808\"]\n  21 -> 25 [size =\"33143808\"]\n  21 -> 30 [size =\"33143808\"]\n  22 [size=\"106191360\", alpha=\"0.16\", expect_size=\"42476544\"] \n  22 -> 25 [size =\"42476544\"]\n  22 -> 26 [size =\"42476544\"]\n  23 [size=\"110919680\", alpha=\"0.13\", expect_size=\"44367872\"] \n  24 [size=\"129689600\", alpha=\"0.08\", expect_size=\"51875840\"] \n  25 [size=\"28794880\", alpha=\"0.03\", expect_size=\"11517952\"] \n  26 [size=\"102361600\", alpha=\"0.07\", expect_size=\"40944640\"] \n  27 [size=\"109066240\", alpha=\"0.05\", expect_size=\"43626496\"] \n  28 [size=\"41538560\", alpha=\"0.05\", expect_size=\"16615424\"] \n  29 [size=\"58644480\", alpha=\"0.00\", expect_size=\"23457792\"] \n  30 [size=\"95751680\", alpha=\"0.04\", expect_size=\"38300672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35729408\", alpha=\"0.11\", expect_size=\"17864704\"] \n  1 -> 9 [size =\"17864704\"]\n  1 -> 13 [size =\"17864704\"]\n  2 [size=\"54654976\", alpha=\"0.16\", expect_size=\"27327488\"] \n  2 -> 9 [size =\"27327488\"]\n  2 -> 12 [size =\"27327488\"]\n  2 -> 14 [size =\"27327488\"]\n  3 [size=\"64114688\", alpha=\"0.16\", expect_size=\"32057344\"] \n  3 -> 11 [size =\"32057344\"]\n  3 -> 14 [size =\"32057344\"]\n  3 -> 14 [size =\"32057344\"]\n  4 [size=\"20951040\", alpha=\"0.18\", expect_size=\"10475520\"] \n  4 -> 10 [size =\"10475520\"]\n  4 -> 12 [size =\"10475520\"]\n  5 [size=\"51908608\", alpha=\"0.16\", expect_size=\"25954304\"] \n  5 -> 9 [size =\"25954304\"]\n  5 -> 10 [size =\"25954304\"]\n  5 -> 11 [size =\"25954304\"]\n  6 [size=\"42049536\", alpha=\"0.19\", expect_size=\"21024768\"] \n  6 -> 9 [size =\"21024768\"]\n  6 -> 11 [size =\"21024768\"]\n  6 -> 13 [size =\"21024768\"]\n  7 [size=\"84504576\", alpha=\"0.03\", expect_size=\"42252288\"] \n  7 -> 12 [size =\"42252288\"]\n  7 -> 14 [size =\"42252288\"]\n  8 [size=\"65488896\", alpha=\"0.01\", expect_size=\"32744448\"] \n  8 -> 10 [size =\"32744448\"]\n  9 [size=\"39577600\", alpha=\"0.14\", expect_size=\"19788800\"] \n  9 -> 16 [size =\"19788800\"]\n  9 -> 17 [size =\"19788800\"]\n  9 -> 19 [size =\"19788800\"]\n  9 -> 21 [size =\"19788800\"]\n  10 [size=\"72560640\", alpha=\"0.02\", expect_size=\"36280320\"] \n  10 -> 18 [size =\"36280320\"]\n  10 -> 20 [size =\"36280320\"]\n  11 [size=\"32014336\", alpha=\"0.00\", expect_size=\"16007168\"] \n  12 [size=\"85008384\", alpha=\"0.05\", expect_size=\"42504192\"] \n  12 -> 15 [size =\"42504192\"]\n  12 -> 16 [size =\"42504192\"]\n  12 -> 17 [size =\"42504192\"]\n  12 -> 21 [size =\"42504192\"]\n  12 -> 22 [size =\"42504192\"]\n  13 [size=\"64706560\", alpha=\"0.18\", expect_size=\"32353280\"] \n  13 -> 15 [size =\"32353280\"]\n  13 -> 21 [size =\"32353280\"]\n  14 [size=\"44310528\", alpha=\"0.09\", expect_size=\"22155264\"] \n  14 -> 19 [size =\"22155264\"]\n  15 [size=\"34195456\", alpha=\"0.07\", expect_size=\"17097728\"] \n  15 -> 27 [size =\"17097728\"]\n  16 [size=\"16547840\", alpha=\"0.15\", expect_size=\"8273920\"] \n  16 -> 23 [size =\"8273920\"]\n  16 -> 27 [size =\"8273920\"]\n  17 [size=\"13821952\", alpha=\"0.01\", expect_size=\"6910976\"] \n  17 -> 24 [size =\"6910976\"]\n  17 -> 26 [size =\"6910976\"]\n  18 [size=\"29552640\", alpha=\"0.04\", expect_size=\"14776320\"] \n  18 -> 25 [size =\"14776320\"]\n  18 -> 26 [size =\"14776320\"]\n  18 -> 28 [size =\"14776320\"]\n  18 -> 30 [size =\"14776320\"]\n  19 [size=\"34125824\", alpha=\"0.15\", expect_size=\"17062912\"] \n  19 -> 23 [size =\"17062912\"]\n  19 -> 28 [size =\"17062912\"]\n  20 [size=\"99022848\", alpha=\"0.09\", expect_size=\"49511424\"] \n  20 -> 23 [size =\"49511424\"]\n  20 -> 28 [size =\"49511424\"]\n  20 -> 29 [size =\"49511424\"]\n  20 -> 30 [size =\"49511424\"]\n  21 [size=\"11984896\", alpha=\"0.08\", expect_size=\"5992448\"] \n  21 -> 28 [size =\"5992448\"]\n  21 -> 30 [size =\"5992448\"]\n  22 [size=\"14141440\", alpha=\"0.16\", expect_size=\"7070720\"] \n  22 -> 24 [size =\"7070720\"]\n  22 -> 26 [size =\"7070720\"]\n  22 -> 27 [size =\"7070720\"]\n  22 -> 30 [size =\"7070720\"]\n  23 [size=\"35631104\", alpha=\"0.16\", expect_size=\"17815552\"] \n  24 [size=\"25456640\", alpha=\"0.18\", expect_size=\"12728320\"] \n  25 [size=\"67647488\", alpha=\"0.08\", expect_size=\"33823744\"] \n  26 [size=\"100270080\", alpha=\"0.06\", expect_size=\"50135040\"] \n  27 [size=\"75307008\", alpha=\"0.19\", expect_size=\"37653504\"] \n  28 [size=\"81575936\", alpha=\"0.03\", expect_size=\"40787968\"] \n  29 [size=\"100698112\", alpha=\"0.14\", expect_size=\"50349056\"] \n  30 [size=\"77502464\", alpha=\"0.18\", expect_size=\"38751232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77852160\", alpha=\"0.04\", expect_size=\"31140864\"] \n  1 -> 2 [size =\"31140864\"]\n  1 -> 3 [size =\"31140864\"]\n  2 [size=\"82752000\", alpha=\"0.11\", expect_size=\"33100800\"] \n  3 [size=\"81080320\", alpha=\"0.10\", expect_size=\"32432128\"] \n  3 -> 4 [size =\"32432128\"]\n  4 [size=\"37143040\", alpha=\"0.12\", expect_size=\"14857216\"] \n  4 -> 5 [size =\"14857216\"]\n  4 -> 6 [size =\"14857216\"]\n  5 [size=\"32417280\", alpha=\"0.06\", expect_size=\"12966912\"] \n  5 -> 7 [size =\"12966912\"]\n  6 [size=\"49082880\", alpha=\"0.02\", expect_size=\"19633152\"] \n  6 -> 7 [size =\"19633152\"]\n  7 [size=\"56744960\", alpha=\"0.11\", expect_size=\"22697984\"] \n  7 -> 8 [size =\"22697984\"]\n  8 [size=\"126986240\", alpha=\"0.03\", expect_size=\"50794496\"] \n  8 -> 9 [size =\"50794496\"]\n  8 -> 10 [size =\"50794496\"]\n  9 [size=\"94461440\", alpha=\"0.20\", expect_size=\"37784576\"] \n  9 -> 11 [size =\"37784576\"]\n  10 [size=\"72514560\", alpha=\"0.04\", expect_size=\"29005824\"] \n  11 [size=\"92835840\", alpha=\"0.16\", expect_size=\"37134336\"] \n  11 -> 12 [size =\"37134336\"]\n  11 -> 13 [size =\"37134336\"]\n  12 [size=\"117242880\", alpha=\"0.19\", expect_size=\"46897152\"] \n  13 [size=\"65541120\", alpha=\"0.08\", expect_size=\"26216448\"] \n  13 -> 14 [size =\"26216448\"]\n  14 [size=\"126594560\", alpha=\"0.07\", expect_size=\"50637824\"] \n  14 -> 15 [size =\"50637824\"]\n  14 -> 16 [size =\"50637824\"]\n  15 [size=\"78046720\", alpha=\"0.06\", expect_size=\"31218688\"] \n  15 -> 17 [size =\"31218688\"]\n  16 [size=\"113971200\", alpha=\"0.12\", expect_size=\"45588480\"] \n  17 [size=\"125148160\", alpha=\"0.16\", expect_size=\"50059264\"] \n  17 -> 18 [size =\"50059264\"]\n  17 -> 19 [size =\"50059264\"]\n  18 [size=\"72867840\", alpha=\"0.09\", expect_size=\"29147136\"] \n  18 -> 20 [size =\"29147136\"]\n  19 [size=\"90872320\", alpha=\"0.13\", expect_size=\"36348928\"] \n  19 -> 21 [size =\"36348928\"]\n  20 [size=\"88025600\", alpha=\"0.06\", expect_size=\"35210240\"] \n  21 [size=\"110279680\", alpha=\"0.10\", expect_size=\"44111872\"] \n  21 -> 22 [size =\"44111872\"]\n  21 -> 23 [size =\"44111872\"]\n  22 [size=\"84817920\", alpha=\"0.06\", expect_size=\"33927168\"] \n  22 -> 24 [size =\"33927168\"]\n  22 -> 25 [size =\"33927168\"]\n  23 [size=\"76444160\", alpha=\"0.13\", expect_size=\"30577664\"] \n  23 -> 25 [size =\"30577664\"]\n  24 [size=\"122580480\", alpha=\"0.04\", expect_size=\"49032192\"] \n  24 -> 27 [size =\"49032192\"]\n  25 [size=\"44449280\", alpha=\"0.19\", expect_size=\"17779712\"] \n  25 -> 26 [size =\"17779712\"]\n  26 [size=\"78018560\", alpha=\"0.19\", expect_size=\"31207424\"] \n  26 -> 28 [size =\"31207424\"]\n  27 [size=\"33692160\", alpha=\"0.08\", expect_size=\"13476864\"] \n  28 [size=\"126507520\", alpha=\"0.15\", expect_size=\"50603008\"] \n  28 -> 29 [size =\"50603008\"]\n  29 [size=\"61166080\", alpha=\"0.16\", expect_size=\"24466432\"] \n  29 -> 30 [size =\"24466432\"]\n  30 [size=\"20303360\", alpha=\"0.07\", expect_size=\"8121344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41209173\", alpha=\"0.02\", expect_size=\"12362752\"] \n  1 -> 6 [size =\"12362752\"]\n  2 [size=\"34672640\", alpha=\"0.18\", expect_size=\"10401792\"] \n  3 [size=\"68065280\", alpha=\"0.05\", expect_size=\"20419584\"] \n  3 -> 8 [size =\"20419584\"]\n  4 [size=\"44144640\", alpha=\"0.12\", expect_size=\"13243392\"] \n  4 -> 7 [size =\"13243392\"]\n  4 -> 10 [size =\"13243392\"]\n  5 [size=\"94016853\", alpha=\"0.04\", expect_size=\"28205056\"] \n  5 -> 8 [size =\"28205056\"]\n  5 -> 9 [size =\"28205056\"]\n  6 [size=\"112015360\", alpha=\"0.02\", expect_size=\"33604608\"] \n  6 -> 13 [size =\"33604608\"]\n  7 [size=\"18459307\", alpha=\"0.07\", expect_size=\"5537792\"] \n  8 [size=\"125269333\", alpha=\"0.03\", expect_size=\"37580800\"] \n  8 -> 13 [size =\"37580800\"]\n  9 [size=\"91248640\", alpha=\"0.05\", expect_size=\"27374592\"] \n  9 -> 12 [size =\"27374592\"]\n  9 -> 14 [size =\"27374592\"]\n  10 [size=\"67901440\", alpha=\"0.12\", expect_size=\"20370432\"] \n  10 -> 11 [size =\"20370432\"]\n  10 -> 12 [size =\"20370432\"]\n  11 [size=\"147561813\", alpha=\"0.00\", expect_size=\"44268544\"] \n  11 -> 15 [size =\"44268544\"]\n  11 -> 16 [size =\"44268544\"]\n  12 [size=\"167147520\", alpha=\"0.17\", expect_size=\"50144256\"] \n  12 -> 19 [size =\"50144256\"]\n  13 [size=\"149882880\", alpha=\"0.17\", expect_size=\"44964864\"] \n  13 -> 17 [size =\"44964864\"]\n  13 -> 18 [size =\"44964864\"]\n  14 [size=\"29194240\", alpha=\"0.06\", expect_size=\"8758272\"] \n  14 -> 17 [size =\"8758272\"]\n  14 -> 18 [size =\"8758272\"]\n  15 [size=\"121630720\", alpha=\"0.10\", expect_size=\"36489216\"] \n  15 -> 21 [size =\"36489216\"]\n  16 [size=\"151575893\", alpha=\"0.16\", expect_size=\"45472768\"] \n  16 -> 23 [size =\"45472768\"]\n  17 [size=\"165430613\", alpha=\"0.16\", expect_size=\"49629184\"] \n  17 -> 22 [size =\"49629184\"]\n  17 -> 23 [size =\"49629184\"]\n  18 [size=\"60723200\", alpha=\"0.12\", expect_size=\"18216960\"] \n  18 -> 20 [size =\"18216960\"]\n  18 -> 24 [size =\"18216960\"]\n  19 [size=\"85346987\", alpha=\"0.04\", expect_size=\"25604096\"] \n  20 [size=\"125986133\", alpha=\"0.07\", expect_size=\"37795840\"] \n  20 -> 25 [size =\"37795840\"]\n  20 -> 26 [size =\"37795840\"]\n  21 [size=\"61228373\", alpha=\"0.12\", expect_size=\"18368512\"] \n  21 -> 27 [size =\"18368512\"]\n  22 [size=\"63914667\", alpha=\"0.19\", expect_size=\"19174400\"] \n  23 [size=\"37440853\", alpha=\"0.13\", expect_size=\"11232256\"] \n  23 -> 28 [size =\"11232256\"]\n  24 [size=\"172113920\", alpha=\"0.10\", expect_size=\"51634176\"] \n  24 -> 26 [size =\"51634176\"]\n  25 [size=\"64539307\", alpha=\"0.17\", expect_size=\"19361792\"] \n  25 -> 29 [size =\"19361792\"]\n  26 [size=\"143247360\", alpha=\"0.16\", expect_size=\"42974208\"] \n  27 [size=\"115295573\", alpha=\"0.15\", expect_size=\"34588672\"] \n  27 -> 29 [size =\"34588672\"]\n  28 [size=\"84688213\", alpha=\"0.07\", expect_size=\"25406464\"] \n  28 -> 30 [size =\"25406464\"]\n  29 [size=\"25231360\", alpha=\"0.10\", expect_size=\"7569408\"] \n  30 [size=\"60129280\", alpha=\"0.18\", expect_size=\"18038784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38097920\", alpha=\"0.18\", expect_size=\"15239168\"] \n  1 -> 20 [size =\"15239168\"]\n  1 -> 25 [size =\"15239168\"]\n  2 [size=\"104778240\", alpha=\"0.15\", expect_size=\"41911296\"] \n  2 -> 24 [size =\"41911296\"]\n  3 [size=\"18565120\", alpha=\"0.13\", expect_size=\"7426048\"] \n  3 -> 19 [size =\"7426048\"]\n  3 -> 29 [size =\"7426048\"]\n  4 [size=\"89308160\", alpha=\"0.09\", expect_size=\"35723264\"] \n  4 -> 25 [size =\"35723264\"]\n  4 -> 29 [size =\"35723264\"]\n  5 [size=\"15068160\", alpha=\"0.01\", expect_size=\"6027264\"] \n  5 -> 20 [size =\"6027264\"]\n  5 -> 29 [size =\"6027264\"]\n  5 -> 30 [size =\"6027264\"]\n  6 [size=\"71941120\", alpha=\"0.06\", expect_size=\"28776448\"] \n  6 -> 20 [size =\"28776448\"]\n  6 -> 22 [size =\"28776448\"]\n  6 -> 29 [size =\"28776448\"]\n  7 [size=\"112353280\", alpha=\"0.10\", expect_size=\"44941312\"] \n  7 -> 20 [size =\"44941312\"]\n  7 -> 22 [size =\"44941312\"]\n  7 -> 28 [size =\"44941312\"]\n  7 -> 29 [size =\"44941312\"]\n  7 -> 30 [size =\"44941312\"]\n  8 [size=\"81351680\", alpha=\"0.10\", expect_size=\"32540672\"] \n  8 -> 21 [size =\"32540672\"]\n  8 -> 25 [size =\"32540672\"]\n  8 -> 26 [size =\"32540672\"]\n  9 [size=\"62617600\", alpha=\"0.08\", expect_size=\"25047040\"] \n  9 -> 21 [size =\"25047040\"]\n  9 -> 30 [size =\"25047040\"]\n  10 [size=\"126876160\", alpha=\"0.08\", expect_size=\"50750464\"] \n  10 -> 21 [size =\"50750464\"]\n  10 -> 23 [size =\"50750464\"]\n  10 -> 29 [size =\"50750464\"]\n  11 [size=\"22282240\", alpha=\"0.18\", expect_size=\"8912896\"] \n  11 -> 20 [size =\"8912896\"]\n  11 -> 21 [size =\"8912896\"]\n  12 [size=\"125939200\", alpha=\"0.03\", expect_size=\"50375680\"] \n  12 -> 20 [size =\"50375680\"]\n  12 -> 21 [size =\"50375680\"]\n  12 -> 23 [size =\"50375680\"]\n  12 -> 24 [size =\"50375680\"]\n  13 [size=\"96051200\", alpha=\"0.09\", expect_size=\"38420480\"] \n  13 -> 23 [size =\"38420480\"]\n  13 -> 24 [size =\"38420480\"]\n  13 -> 26 [size =\"38420480\"]\n  13 -> 28 [size =\"38420480\"]\n  13 -> 30 [size =\"38420480\"]\n  14 [size=\"53022720\", alpha=\"0.13\", expect_size=\"21209088\"] \n  14 -> 24 [size =\"21209088\"]\n  14 -> 25 [size =\"21209088\"]\n  15 [size=\"104184320\", alpha=\"0.06\", expect_size=\"41673728\"] \n  15 -> 20 [size =\"41673728\"]\n  15 -> 21 [size =\"41673728\"]\n  15 -> 23 [size =\"41673728\"]\n  16 [size=\"109281280\", alpha=\"0.06\", expect_size=\"43712512\"] \n  16 -> 20 [size =\"43712512\"]\n  16 -> 21 [size =\"43712512\"]\n  16 -> 25 [size =\"43712512\"]\n  16 -> 27 [size =\"43712512\"]\n  17 [size=\"29434880\", alpha=\"0.02\", expect_size=\"11773952\"] \n  17 -> 21 [size =\"11773952\"]\n  17 -> 24 [size =\"11773952\"]\n  18 [size=\"91059200\", alpha=\"0.03\", expect_size=\"36423680\"] \n  18 -> 20 [size =\"36423680\"]\n  18 -> 23 [size =\"36423680\"]\n  18 -> 29 [size =\"36423680\"]\n  19 [size=\"30195200\", alpha=\"0.08\", expect_size=\"12078080\"] \n  20 [size=\"76646400\", alpha=\"0.07\", expect_size=\"30658560\"] \n  21 [size=\"123745280\", alpha=\"0.09\", expect_size=\"49498112\"] \n  22 [size=\"111603200\", alpha=\"0.08\", expect_size=\"44641280\"] \n  23 [size=\"127267840\", alpha=\"0.07\", expect_size=\"50907136\"] \n  24 [size=\"60648960\", alpha=\"0.18\", expect_size=\"24259584\"] \n  25 [size=\"17991680\", alpha=\"0.11\", expect_size=\"7196672\"] \n  26 [size=\"53680640\", alpha=\"0.13\", expect_size=\"21472256\"] \n  27 [size=\"88033280\", alpha=\"0.12\", expect_size=\"35213312\"] \n  28 [size=\"100687360\", alpha=\"0.03\", expect_size=\"40274944\"] \n  29 [size=\"121318400\", alpha=\"0.02\", expect_size=\"48527360\"] \n  30 [size=\"53383680\", alpha=\"0.00\", expect_size=\"21353472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90542080\", alpha=\"0.03\", expect_size=\"36216832\"] \n  1 -> 6 [size =\"36216832\"]\n  1 -> 7 [size =\"36216832\"]\n  2 [size=\"127426560\", alpha=\"0.01\", expect_size=\"50970624\"] \n  2 -> 4 [size =\"50970624\"]\n  2 -> 5 [size =\"50970624\"]\n  2 -> 6 [size =\"50970624\"]\n  3 [size=\"131000320\", alpha=\"0.18\", expect_size=\"52400128\"] \n  4 [size=\"16312320\", alpha=\"0.13\", expect_size=\"6524928\"] \n  4 -> 11 [size =\"6524928\"]\n  5 [size=\"70479360\", alpha=\"0.09\", expect_size=\"28191744\"] \n  5 -> 9 [size =\"28191744\"]\n  5 -> 10 [size =\"28191744\"]\n  5 -> 11 [size =\"28191744\"]\n  6 [size=\"51043840\", alpha=\"0.09\", expect_size=\"20417536\"] \n  6 -> 11 [size =\"20417536\"]\n  7 [size=\"53301760\", alpha=\"0.02\", expect_size=\"21320704\"] \n  7 -> 8 [size =\"21320704\"]\n  8 [size=\"24243200\", alpha=\"0.06\", expect_size=\"9697280\"] \n  8 -> 12 [size =\"9697280\"]\n  8 -> 13 [size =\"9697280\"]\n  8 -> 14 [size =\"9697280\"]\n  9 [size=\"76190720\", alpha=\"0.09\", expect_size=\"30476288\"] \n  9 -> 14 [size =\"30476288\"]\n  10 [size=\"46438400\", alpha=\"0.18\", expect_size=\"18575360\"] \n  10 -> 13 [size =\"18575360\"]\n  11 [size=\"86282240\", alpha=\"0.07\", expect_size=\"34512896\"] \n  11 -> 13 [size =\"34512896\"]\n  12 [size=\"104604160\", alpha=\"0.17\", expect_size=\"41841664\"] \n  12 -> 15 [size =\"41841664\"]\n  12 -> 17 [size =\"41841664\"]\n  12 -> 18 [size =\"41841664\"]\n  12 -> 19 [size =\"41841664\"]\n  12 -> 20 [size =\"41841664\"]\n  13 [size=\"109135360\", alpha=\"0.09\", expect_size=\"43654144\"] \n  13 -> 15 [size =\"43654144\"]\n  13 -> 16 [size =\"43654144\"]\n  13 -> 17 [size =\"43654144\"]\n  13 -> 18 [size =\"43654144\"]\n  13 -> 20 [size =\"43654144\"]\n  14 [size=\"98227200\", alpha=\"0.06\", expect_size=\"39290880\"] \n  14 -> 16 [size =\"39290880\"]\n  14 -> 18 [size =\"39290880\"]\n  14 -> 19 [size =\"39290880\"]\n  15 [size=\"56675840\", alpha=\"0.15\", expect_size=\"22670336\"] \n  16 [size=\"107246080\", alpha=\"0.15\", expect_size=\"42898432\"] \n  16 -> 21 [size =\"42898432\"]\n  16 -> 23 [size =\"42898432\"]\n  17 [size=\"41523200\", alpha=\"0.18\", expect_size=\"16609280\"] \n  17 -> 21 [size =\"16609280\"]\n  18 [size=\"50764800\", alpha=\"0.11\", expect_size=\"20305920\"] \n  18 -> 21 [size =\"20305920\"]\n  18 -> 23 [size =\"20305920\"]\n  19 [size=\"86103040\", alpha=\"0.10\", expect_size=\"34441216\"] \n  20 [size=\"19594240\", alpha=\"0.13\", expect_size=\"7837696\"] \n  20 -> 21 [size =\"7837696\"]\n  20 -> 22 [size =\"7837696\"]\n  21 [size=\"124838400\", alpha=\"0.10\", expect_size=\"49935360\"] \n  21 -> 25 [size =\"49935360\"]\n  21 -> 26 [size =\"49935360\"]\n  22 [size=\"49546240\", alpha=\"0.06\", expect_size=\"19818496\"] \n  22 -> 24 [size =\"19818496\"]\n  22 -> 25 [size =\"19818496\"]\n  22 -> 27 [size =\"19818496\"]\n  23 [size=\"33582080\", alpha=\"0.02\", expect_size=\"13432832\"] \n  23 -> 26 [size =\"13432832\"]\n  23 -> 27 [size =\"13432832\"]\n  24 [size=\"86036480\", alpha=\"0.19\", expect_size=\"34414592\"] \n  24 -> 30 [size =\"34414592\"]\n  25 [size=\"123279360\", alpha=\"0.05\", expect_size=\"49311744\"] \n  25 -> 29 [size =\"49311744\"]\n  26 [size=\"92078080\", alpha=\"0.18\", expect_size=\"36831232\"] \n  26 -> 28 [size =\"36831232\"]\n  26 -> 29 [size =\"36831232\"]\n  27 [size=\"63385600\", alpha=\"0.17\", expect_size=\"25354240\"] \n  27 -> 29 [size =\"25354240\"]\n  28 [size=\"50488320\", alpha=\"0.18\", expect_size=\"20195328\"] \n  29 [size=\"113264640\", alpha=\"0.11\", expect_size=\"45305856\"] \n  30 [size=\"53091840\", alpha=\"0.08\", expect_size=\"21236736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98533376\", alpha=\"0.13\", expect_size=\"49266688\"] \n  1 -> 6 [size =\"49266688\"]\n  1 -> 8 [size =\"49266688\"]\n  1 -> 9 [size =\"49266688\"]\n  2 [size=\"74688512\", alpha=\"0.06\", expect_size=\"37344256\"] \n  2 -> 5 [size =\"37344256\"]\n  2 -> 6 [size =\"37344256\"]\n  3 [size=\"71749632\", alpha=\"0.00\", expect_size=\"35874816\"] \n  3 -> 5 [size =\"35874816\"]\n  3 -> 7 [size =\"35874816\"]\n  3 -> 8 [size =\"35874816\"]\n  3 -> 9 [size =\"35874816\"]\n  4 [size=\"36847616\", alpha=\"0.15\", expect_size=\"18423808\"] \n  4 -> 8 [size =\"18423808\"]\n  4 -> 9 [size =\"18423808\"]\n  5 [size=\"55945216\", alpha=\"0.11\", expect_size=\"27972608\"] \n  5 -> 10 [size =\"27972608\"]\n  5 -> 13 [size =\"27972608\"]\n  6 [size=\"90384384\", alpha=\"0.10\", expect_size=\"45192192\"] \n  6 -> 13 [size =\"45192192\"]\n  6 -> 14 [size =\"45192192\"]\n  7 [size=\"49774592\", alpha=\"0.11\", expect_size=\"24887296\"] \n  7 -> 12 [size =\"24887296\"]\n  8 [size=\"84217856\", alpha=\"0.08\", expect_size=\"42108928\"] \n  8 -> 11 [size =\"42108928\"]\n  8 -> 12 [size =\"42108928\"]\n  8 -> 14 [size =\"42108928\"]\n  9 [size=\"31526912\", alpha=\"0.07\", expect_size=\"15763456\"] \n  9 -> 11 [size =\"15763456\"]\n  10 [size=\"58081280\", alpha=\"0.20\", expect_size=\"29040640\"] \n  10 -> 17 [size =\"29040640\"]\n  11 [size=\"75405312\", alpha=\"0.05\", expect_size=\"37702656\"] \n  11 -> 15 [size =\"37702656\"]\n  11 -> 16 [size =\"37702656\"]\n  12 [size=\"41969664\", alpha=\"0.01\", expect_size=\"20984832\"] \n  12 -> 16 [size =\"20984832\"]\n  13 [size=\"71589888\", alpha=\"0.11\", expect_size=\"35794944\"] \n  13 -> 15 [size =\"35794944\"]\n  13 -> 17 [size =\"35794944\"]\n  13 -> 18 [size =\"35794944\"]\n  14 [size=\"72480768\", alpha=\"0.03\", expect_size=\"36240384\"] \n  14 -> 16 [size =\"36240384\"]\n  14 -> 18 [size =\"36240384\"]\n  15 [size=\"50771968\", alpha=\"0.16\", expect_size=\"25385984\"] \n  15 -> 20 [size =\"25385984\"]\n  15 -> 21 [size =\"25385984\"]\n  15 -> 22 [size =\"25385984\"]\n  16 [size=\"102060032\", alpha=\"0.17\", expect_size=\"51030016\"] \n  16 -> 22 [size =\"51030016\"]\n  17 [size=\"54777856\", alpha=\"0.03\", expect_size=\"27388928\"] \n  17 -> 19 [size =\"27388928\"]\n  18 [size=\"12050432\", alpha=\"0.18\", expect_size=\"6025216\"] \n  18 -> 20 [size =\"6025216\"]\n  18 -> 22 [size =\"6025216\"]\n  19 [size=\"49846272\", alpha=\"0.08\", expect_size=\"24923136\"] \n  19 -> 23 [size =\"24923136\"]\n  19 -> 24 [size =\"24923136\"]\n  19 -> 25 [size =\"24923136\"]\n  20 [size=\"80742400\", alpha=\"0.01\", expect_size=\"40371200\"] \n  20 -> 25 [size =\"40371200\"]\n  20 -> 26 [size =\"40371200\"]\n  20 -> 27 [size =\"40371200\"]\n  21 [size=\"80103424\", alpha=\"0.12\", expect_size=\"40051712\"] \n  21 -> 23 [size =\"40051712\"]\n  21 -> 26 [size =\"40051712\"]\n  21 -> 27 [size =\"40051712\"]\n  22 [size=\"11034624\", alpha=\"0.17\", expect_size=\"5517312\"] \n  22 -> 23 [size =\"5517312\"]\n  22 -> 25 [size =\"5517312\"]\n  23 [size=\"17625088\", alpha=\"0.15\", expect_size=\"8812544\"] \n  23 -> 30 [size =\"8812544\"]\n  24 [size=\"70737920\", alpha=\"0.18\", expect_size=\"35368960\"] \n  24 -> 28 [size =\"35368960\"]\n  24 -> 30 [size =\"35368960\"]\n  25 [size=\"83068928\", alpha=\"0.12\", expect_size=\"41534464\"] \n  26 [size=\"61925376\", alpha=\"0.02\", expect_size=\"30962688\"] \n  26 -> 28 [size =\"30962688\"]\n  26 -> 29 [size =\"30962688\"]\n  26 -> 30 [size =\"30962688\"]\n  27 [size=\"48371712\", alpha=\"0.00\", expect_size=\"24185856\"] \n  27 -> 28 [size =\"24185856\"]\n  27 -> 29 [size =\"24185856\"]\n  27 -> 30 [size =\"24185856\"]\n  28 [size=\"61210624\", alpha=\"0.14\", expect_size=\"30605312\"] \n  29 [size=\"49954816\", alpha=\"0.13\", expect_size=\"24977408\"] \n  30 [size=\"87296000\", alpha=\"0.01\", expect_size=\"43648000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140465493\", alpha=\"0.05\", expect_size=\"42139648\"] \n  1 -> 3 [size =\"42139648\"]\n  1 -> 4 [size =\"42139648\"]\n  2 [size=\"145373867\", alpha=\"0.07\", expect_size=\"43612160\"] \n  2 -> 3 [size =\"43612160\"]\n  2 -> 4 [size =\"43612160\"]\n  3 [size=\"47018667\", alpha=\"0.09\", expect_size=\"14105600\"] \n  4 [size=\"152548693\", alpha=\"0.02\", expect_size=\"45764608\"] \n  4 -> 5 [size =\"45764608\"]\n  5 [size=\"88634027\", alpha=\"0.10\", expect_size=\"26590208\"] \n  5 -> 6 [size =\"26590208\"]\n  6 [size=\"86254933\", alpha=\"0.08\", expect_size=\"25876480\"] \n  6 -> 7 [size =\"25876480\"]\n  6 -> 8 [size =\"25876480\"]\n  7 [size=\"167854080\", alpha=\"0.15\", expect_size=\"50356224\"] \n  8 [size=\"41089707\", alpha=\"0.17\", expect_size=\"12326912\"] \n  8 -> 9 [size =\"12326912\"]\n  9 [size=\"79824213\", alpha=\"0.15\", expect_size=\"23947264\"] \n  9 -> 10 [size =\"23947264\"]\n  9 -> 11 [size =\"23947264\"]\n  10 [size=\"22353920\", alpha=\"0.08\", expect_size=\"6706176\"] \n  10 -> 12 [size =\"6706176\"]\n  10 -> 13 [size =\"6706176\"]\n  11 [size=\"147500373\", alpha=\"0.01\", expect_size=\"44250112\"] \n  11 -> 12 [size =\"44250112\"]\n  11 -> 13 [size =\"44250112\"]\n  12 [size=\"28020053\", alpha=\"0.20\", expect_size=\"8406016\"] \n  12 -> 14 [size =\"8406016\"]\n  13 [size=\"84698453\", alpha=\"0.08\", expect_size=\"25409536\"] \n  14 [size=\"155245227\", alpha=\"0.10\", expect_size=\"46573568\"] \n  14 -> 15 [size =\"46573568\"]\n  15 [size=\"171451733\", alpha=\"0.13\", expect_size=\"51435520\"] \n  15 -> 16 [size =\"51435520\"]\n  16 [size=\"95941973\", alpha=\"0.18\", expect_size=\"28782592\"] \n  16 -> 17 [size =\"28782592\"]\n  16 -> 18 [size =\"28782592\"]\n  17 [size=\"161986560\", alpha=\"0.11\", expect_size=\"48595968\"] \n  17 -> 19 [size =\"48595968\"]\n  18 [size=\"119251627\", alpha=\"0.16\", expect_size=\"35775488\"] \n  19 [size=\"93597013\", alpha=\"0.10\", expect_size=\"28079104\"] \n  19 -> 20 [size =\"28079104\"]\n  20 [size=\"55272107\", alpha=\"0.16\", expect_size=\"16581632\"] \n  20 -> 21 [size =\"16581632\"]\n  21 [size=\"118493867\", alpha=\"0.18\", expect_size=\"35548160\"] \n  21 -> 22 [size =\"35548160\"]\n  21 -> 23 [size =\"35548160\"]\n  22 [size=\"124989440\", alpha=\"0.16\", expect_size=\"37496832\"] \n  22 -> 24 [size =\"37496832\"]\n  22 -> 25 [size =\"37496832\"]\n  23 [size=\"122603520\", alpha=\"0.18\", expect_size=\"36781056\"] \n  23 -> 25 [size =\"36781056\"]\n  24 [size=\"29180587\", alpha=\"0.17\", expect_size=\"8754176\"] \n  24 -> 26 [size =\"8754176\"]\n  24 -> 27 [size =\"8754176\"]\n  25 [size=\"110776320\", alpha=\"0.05\", expect_size=\"33232896\"] \n  25 -> 26 [size =\"33232896\"]\n  26 [size=\"57361067\", alpha=\"0.02\", expect_size=\"17208320\"] \n  26 -> 28 [size =\"17208320\"]\n  26 -> 29 [size =\"17208320\"]\n  27 [size=\"42536960\", alpha=\"0.17\", expect_size=\"12761088\"] \n  28 [size=\"126310400\", alpha=\"0.16\", expect_size=\"37893120\"] \n  28 -> 30 [size =\"37893120\"]\n  29 [size=\"91702613\", alpha=\"0.03\", expect_size=\"27510784\"] \n  30 [size=\"169973760\", alpha=\"0.11\", expect_size=\"50992128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111820800\", alpha=\"0.18\", expect_size=\"44728320\"] \n  1 -> 2 [size =\"44728320\"]\n  2 [size=\"68418560\", alpha=\"0.05\", expect_size=\"27367424\"] \n  2 -> 3 [size =\"27367424\"]\n  3 [size=\"14487040\", alpha=\"0.07\", expect_size=\"5794816\"] \n  3 -> 4 [size =\"5794816\"]\n  4 [size=\"72222720\", alpha=\"0.11\", expect_size=\"28889088\"] \n  4 -> 5 [size =\"28889088\"]\n  5 [size=\"65213440\", alpha=\"0.18\", expect_size=\"26085376\"] \n  5 -> 6 [size =\"26085376\"]\n  6 [size=\"118197760\", alpha=\"0.18\", expect_size=\"47279104\"] \n  6 -> 7 [size =\"47279104\"]\n  7 [size=\"72532480\", alpha=\"0.10\", expect_size=\"29012992\"] \n  7 -> 8 [size =\"29012992\"]\n  8 [size=\"122145280\", alpha=\"0.03\", expect_size=\"48858112\"] \n  8 -> 9 [size =\"48858112\"]\n  9 [size=\"68856320\", alpha=\"0.20\", expect_size=\"27542528\"] \n  9 -> 10 [size =\"27542528\"]\n  10 [size=\"80540160\", alpha=\"0.02\", expect_size=\"32216064\"] \n  10 -> 11 [size =\"32216064\"]\n  11 [size=\"18818560\", alpha=\"0.02\", expect_size=\"7527424\"] \n  11 -> 12 [size =\"7527424\"]\n  12 [size=\"124405760\", alpha=\"0.13\", expect_size=\"49762304\"] \n  12 -> 13 [size =\"49762304\"]\n  13 [size=\"35494400\", alpha=\"0.07\", expect_size=\"14197760\"] \n  13 -> 14 [size =\"14197760\"]\n  14 [size=\"77166080\", alpha=\"0.20\", expect_size=\"30866432\"] \n  14 -> 15 [size =\"30866432\"]\n  15 [size=\"25748480\", alpha=\"0.01\", expect_size=\"10299392\"] \n  15 -> 16 [size =\"10299392\"]\n  16 [size=\"15319040\", alpha=\"0.09\", expect_size=\"6127616\"] \n  16 -> 17 [size =\"6127616\"]\n  17 [size=\"122291200\", alpha=\"0.18\", expect_size=\"48916480\"] \n  17 -> 18 [size =\"48916480\"]\n  18 [size=\"66053120\", alpha=\"0.01\", expect_size=\"26421248\"] \n  18 -> 19 [size =\"26421248\"]\n  19 [size=\"85637120\", alpha=\"0.03\", expect_size=\"34254848\"] \n  19 -> 20 [size =\"34254848\"]\n  20 [size=\"83430400\", alpha=\"0.00\", expect_size=\"33372160\"] \n  20 -> 21 [size =\"33372160\"]\n  21 [size=\"96488960\", alpha=\"0.14\", expect_size=\"38595584\"] \n  21 -> 22 [size =\"38595584\"]\n  22 [size=\"109534720\", alpha=\"0.18\", expect_size=\"43813888\"] \n  22 -> 23 [size =\"43813888\"]\n  23 [size=\"70213120\", alpha=\"0.02\", expect_size=\"28085248\"] \n  23 -> 24 [size =\"28085248\"]\n  24 [size=\"110740480\", alpha=\"0.16\", expect_size=\"44296192\"] \n  24 -> 25 [size =\"44296192\"]\n  25 [size=\"110343680\", alpha=\"0.18\", expect_size=\"44137472\"] \n  25 -> 26 [size =\"44137472\"]\n  26 [size=\"117301760\", alpha=\"0.19\", expect_size=\"46920704\"] \n  26 -> 27 [size =\"46920704\"]\n  27 [size=\"53312000\", alpha=\"0.09\", expect_size=\"21324800\"] \n  27 -> 28 [size =\"21324800\"]\n  28 [size=\"39746560\", alpha=\"0.18\", expect_size=\"15898624\"] \n  28 -> 29 [size =\"15898624\"]\n  29 [size=\"46392320\", alpha=\"0.17\", expect_size=\"18556928\"] \n  29 -> 30 [size =\"18556928\"]\n  30 [size=\"61191680\", alpha=\"0.07\", expect_size=\"24476672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14494720\", alpha=\"0.08\", expect_size=\"5797888\"] \n  1 -> 3 [size =\"5797888\"]\n  2 [size=\"45928960\", alpha=\"0.06\", expect_size=\"18371584\"] \n  2 -> 3 [size =\"18371584\"]\n  3 [size=\"77294080\", alpha=\"0.14\", expect_size=\"30917632\"] \n  3 -> 4 [size =\"30917632\"]\n  4 [size=\"100062720\", alpha=\"0.18\", expect_size=\"40025088\"] \n  4 -> 5 [size =\"40025088\"]\n  5 [size=\"130926080\", alpha=\"0.10\", expect_size=\"52370432\"] \n  5 -> 6 [size =\"52370432\"]\n  5 -> 7 [size =\"52370432\"]\n  6 [size=\"53829120\", alpha=\"0.07\", expect_size=\"21531648\"] \n  6 -> 8 [size =\"21531648\"]\n  7 [size=\"54338560\", alpha=\"0.01\", expect_size=\"21735424\"] \n  7 -> 8 [size =\"21735424\"]\n  8 [size=\"50897920\", alpha=\"0.14\", expect_size=\"20359168\"] \n  8 -> 9 [size =\"20359168\"]\n  8 -> 10 [size =\"20359168\"]\n  9 [size=\"81748480\", alpha=\"0.19\", expect_size=\"32699392\"] \n  9 -> 11 [size =\"32699392\"]\n  9 -> 12 [size =\"32699392\"]\n  10 [size=\"85181440\", alpha=\"0.13\", expect_size=\"34072576\"] \n  10 -> 12 [size =\"34072576\"]\n  11 [size=\"60119040\", alpha=\"0.09\", expect_size=\"24047616\"] \n  12 [size=\"105249280\", alpha=\"0.15\", expect_size=\"42099712\"] \n  12 -> 13 [size =\"42099712\"]\n  13 [size=\"20986880\", alpha=\"0.17\", expect_size=\"8394752\"] \n  13 -> 14 [size =\"8394752\"]\n  14 [size=\"101680640\", alpha=\"0.19\", expect_size=\"40672256\"] \n  14 -> 15 [size =\"40672256\"]\n  14 -> 16 [size =\"40672256\"]\n  15 [size=\"87488000\", alpha=\"0.09\", expect_size=\"34995200\"] \n  15 -> 18 [size =\"34995200\"]\n  16 [size=\"26472960\", alpha=\"0.12\", expect_size=\"10589184\"] \n  16 -> 17 [size =\"10589184\"]\n  17 [size=\"69767680\", alpha=\"0.19\", expect_size=\"27907072\"] \n  17 -> 19 [size =\"27907072\"]\n  18 [size=\"73963520\", alpha=\"0.10\", expect_size=\"29585408\"] \n  19 [size=\"38812160\", alpha=\"0.02\", expect_size=\"15524864\"] \n  19 -> 20 [size =\"15524864\"]\n  19 -> 21 [size =\"15524864\"]\n  20 [size=\"35299840\", alpha=\"0.10\", expect_size=\"14119936\"] \n  20 -> 22 [size =\"14119936\"]\n  21 [size=\"109107200\", alpha=\"0.19\", expect_size=\"43642880\"] \n  21 -> 22 [size =\"43642880\"]\n  22 [size=\"44538880\", alpha=\"0.13\", expect_size=\"17815552\"] \n  22 -> 23 [size =\"17815552\"]\n  23 [size=\"130114560\", alpha=\"0.18\", expect_size=\"52045824\"] \n  23 -> 24 [size =\"52045824\"]\n  24 [size=\"112721920\", alpha=\"0.17\", expect_size=\"45088768\"] \n  24 -> 25 [size =\"45088768\"]\n  25 [size=\"105886720\", alpha=\"0.17\", expect_size=\"42354688\"] \n  25 -> 26 [size =\"42354688\"]\n  25 -> 27 [size =\"42354688\"]\n  26 [size=\"40599040\", alpha=\"0.03\", expect_size=\"16239616\"] \n  26 -> 28 [size =\"16239616\"]\n  26 -> 29 [size =\"16239616\"]\n  27 [size=\"110668800\", alpha=\"0.16\", expect_size=\"44267520\"] \n  28 [size=\"102525440\", alpha=\"0.16\", expect_size=\"41010176\"] \n  28 -> 30 [size =\"41010176\"]\n  29 [size=\"43102720\", alpha=\"0.08\", expect_size=\"17241088\"] \n  30 [size=\"56944640\", alpha=\"0.11\", expect_size=\"22777856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82926933\", alpha=\"0.01\", expect_size=\"24878080\"] \n  1 -> 2 [size =\"24878080\"]\n  2 [size=\"73086293\", alpha=\"0.16\", expect_size=\"21925888\"] \n  2 -> 3 [size =\"21925888\"]\n  2 -> 4 [size =\"21925888\"]\n  3 [size=\"152535040\", alpha=\"0.10\", expect_size=\"45760512\"] \n  3 -> 5 [size =\"45760512\"]\n  3 -> 6 [size =\"45760512\"]\n  4 [size=\"127460693\", alpha=\"0.12\", expect_size=\"38238208\"] \n  4 -> 5 [size =\"38238208\"]\n  5 [size=\"107434667\", alpha=\"0.17\", expect_size=\"32230400\"] \n  5 -> 7 [size =\"32230400\"]\n  5 -> 8 [size =\"32230400\"]\n  6 [size=\"66252800\", alpha=\"0.11\", expect_size=\"19875840\"] \n  6 -> 7 [size =\"19875840\"]\n  7 [size=\"63959040\", alpha=\"0.05\", expect_size=\"19187712\"] \n  7 -> 10 [size =\"19187712\"]\n  8 [size=\"158573227\", alpha=\"0.20\", expect_size=\"47571968\"] \n  8 -> 9 [size =\"47571968\"]\n  9 [size=\"121719467\", alpha=\"0.19\", expect_size=\"36515840\"] \n  9 -> 11 [size =\"36515840\"]\n  10 [size=\"111319040\", alpha=\"0.16\", expect_size=\"33395712\"] \n  10 -> 11 [size =\"33395712\"]\n  11 [size=\"55190187\", alpha=\"0.05\", expect_size=\"16557056\"] \n  11 -> 12 [size =\"16557056\"]\n  11 -> 13 [size =\"16557056\"]\n  12 [size=\"65764693\", alpha=\"0.16\", expect_size=\"19729408\"] \n  12 -> 15 [size =\"19729408\"]\n  13 [size=\"33143467\", alpha=\"0.01\", expect_size=\"9943040\"] \n  13 -> 14 [size =\"9943040\"]\n  14 [size=\"115063467\", alpha=\"0.08\", expect_size=\"34519040\"] \n  14 -> 16 [size =\"34519040\"]\n  15 [size=\"53230933\", alpha=\"0.16\", expect_size=\"15969280\"] \n  16 [size=\"29853013\", alpha=\"0.18\", expect_size=\"8955904\"] \n  16 -> 17 [size =\"8955904\"]\n  16 -> 18 [size =\"8955904\"]\n  17 [size=\"119606613\", alpha=\"0.06\", expect_size=\"35881984\"] \n  17 -> 19 [size =\"35881984\"]\n  17 -> 20 [size =\"35881984\"]\n  18 [size=\"161693013\", alpha=\"0.18\", expect_size=\"48507904\"] \n  18 -> 19 [size =\"48507904\"]\n  19 [size=\"161245867\", alpha=\"0.04\", expect_size=\"48373760\"] \n  19 -> 21 [size =\"48373760\"]\n  19 -> 22 [size =\"48373760\"]\n  20 [size=\"153047040\", alpha=\"0.15\", expect_size=\"45914112\"] \n  20 -> 21 [size =\"45914112\"]\n  21 [size=\"122514773\", alpha=\"0.14\", expect_size=\"36754432\"] \n  21 -> 23 [size =\"36754432\"]\n  21 -> 24 [size =\"36754432\"]\n  22 [size=\"161116160\", alpha=\"0.01\", expect_size=\"48334848\"] \n  23 [size=\"128573440\", alpha=\"0.05\", expect_size=\"38572032\"] \n  23 -> 25 [size =\"38572032\"]\n  23 -> 26 [size =\"38572032\"]\n  24 [size=\"138977280\", alpha=\"0.02\", expect_size=\"41693184\"] \n  24 -> 25 [size =\"41693184\"]\n  24 -> 26 [size =\"41693184\"]\n  25 [size=\"41400320\", alpha=\"0.11\", expect_size=\"12420096\"] \n  25 -> 27 [size =\"12420096\"]\n  26 [size=\"164113067\", alpha=\"0.06\", expect_size=\"49233920\"] \n  27 [size=\"144766293\", alpha=\"0.08\", expect_size=\"43429888\"] \n  27 -> 28 [size =\"43429888\"]\n  27 -> 29 [size =\"43429888\"]\n  28 [size=\"37277013\", alpha=\"0.07\", expect_size=\"11183104\"] \n  28 -> 30 [size =\"11183104\"]\n  29 [size=\"21835093\", alpha=\"0.19\", expect_size=\"6550528\"] \n  30 [size=\"53149013\", alpha=\"0.03\", expect_size=\"15944704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70345387\", alpha=\"0.19\", expect_size=\"21103616\"] \n  1 -> 9 [size =\"21103616\"]\n  1 -> 11 [size =\"21103616\"]\n  1 -> 15 [size =\"21103616\"]\n  1 -> 16 [size =\"21103616\"]\n  2 [size=\"27637760\", alpha=\"0.04\", expect_size=\"8291328\"] \n  2 -> 14 [size =\"8291328\"]\n  2 -> 17 [size =\"8291328\"]\n  3 [size=\"145616213\", alpha=\"0.02\", expect_size=\"43684864\"] \n  3 -> 14 [size =\"43684864\"]\n  3 -> 16 [size =\"43684864\"]\n  3 -> 17 [size =\"43684864\"]\n  4 [size=\"19763200\", alpha=\"0.08\", expect_size=\"5928960\"] \n  4 -> 11 [size =\"5928960\"]\n  5 [size=\"45011627\", alpha=\"0.03\", expect_size=\"13503488\"] \n  5 -> 12 [size =\"13503488\"]\n  5 -> 15 [size =\"13503488\"]\n  5 -> 17 [size =\"13503488\"]\n  5 -> 18 [size =\"13503488\"]\n  6 [size=\"143718400\", alpha=\"0.04\", expect_size=\"43115520\"] \n  6 -> 14 [size =\"43115520\"]\n  6 -> 18 [size =\"43115520\"]\n  7 [size=\"90166613\", alpha=\"0.01\", expect_size=\"27049984\"] \n  7 -> 9 [size =\"27049984\"]\n  7 -> 10 [size =\"27049984\"]\n  7 -> 11 [size =\"27049984\"]\n  8 [size=\"67502080\", alpha=\"0.09\", expect_size=\"20250624\"] \n  8 -> 11 [size =\"20250624\"]\n  8 -> 13 [size =\"20250624\"]\n  8 -> 15 [size =\"20250624\"]\n  8 -> 17 [size =\"20250624\"]\n  9 [size=\"31692800\", alpha=\"0.15\", expect_size=\"9507840\"] \n  9 -> 22 [size =\"9507840\"]\n  9 -> 29 [size =\"9507840\"]\n  10 [size=\"65280000\", alpha=\"0.06\", expect_size=\"19584000\"] \n  10 -> 19 [size =\"19584000\"]\n  10 -> 23 [size =\"19584000\"]\n  10 -> 25 [size =\"19584000\"]\n  10 -> 29 [size =\"19584000\"]\n  11 [size=\"40598187\", alpha=\"0.18\", expect_size=\"12179456\"] \n  11 -> 26 [size =\"12179456\"]\n  11 -> 28 [size =\"12179456\"]\n  11 -> 29 [size =\"12179456\"]\n  12 [size=\"29026987\", alpha=\"0.13\", expect_size=\"8708096\"] \n  12 -> 21 [size =\"8708096\"]\n  12 -> 22 [size =\"8708096\"]\n  12 -> 28 [size =\"8708096\"]\n  13 [size=\"62313813\", alpha=\"0.18\", expect_size=\"18694144\"] \n  13 -> 20 [size =\"18694144\"]\n  13 -> 21 [size =\"18694144\"]\n  13 -> 24 [size =\"18694144\"]\n  13 -> 25 [size =\"18694144\"]\n  13 -> 26 [size =\"18694144\"]\n  13 -> 27 [size =\"18694144\"]\n  13 -> 28 [size =\"18694144\"]\n  13 -> 29 [size =\"18694144\"]\n  14 [size=\"76189013\", alpha=\"0.09\", expect_size=\"22856704\"] \n  14 -> 23 [size =\"22856704\"]\n  14 -> 27 [size =\"22856704\"]\n  14 -> 30 [size =\"22856704\"]\n  15 [size=\"141523627\", alpha=\"0.04\", expect_size=\"42457088\"] \n  15 -> 25 [size =\"42457088\"]\n  16 [size=\"168161280\", alpha=\"0.09\", expect_size=\"50448384\"] \n  16 -> 24 [size =\"50448384\"]\n  17 [size=\"43731627\", alpha=\"0.18\", expect_size=\"13119488\"] \n  17 -> 20 [size =\"13119488\"]\n  17 -> 28 [size =\"13119488\"]\n  18 [size=\"48592213\", alpha=\"0.02\", expect_size=\"14577664\"] \n  18 -> 20 [size =\"14577664\"]\n  18 -> 27 [size =\"14577664\"]\n  19 [size=\"117063680\", alpha=\"0.02\", expect_size=\"35119104\"] \n  20 [size=\"74308267\", alpha=\"0.08\", expect_size=\"22292480\"] \n  21 [size=\"121060693\", alpha=\"0.01\", expect_size=\"36318208\"] \n  22 [size=\"102615040\", alpha=\"0.15\", expect_size=\"30784512\"] \n  23 [size=\"50322773\", alpha=\"0.05\", expect_size=\"15096832\"] \n  24 [size=\"36730880\", alpha=\"0.16\", expect_size=\"11019264\"] \n  25 [size=\"109875200\", alpha=\"0.10\", expect_size=\"32962560\"] \n  26 [size=\"138670080\", alpha=\"0.20\", expect_size=\"41601024\"] \n  27 [size=\"51036160\", alpha=\"0.19\", expect_size=\"15310848\"] \n  28 [size=\"34099200\", alpha=\"0.05\", expect_size=\"10229760\"] \n  29 [size=\"52954453\", alpha=\"0.12\", expect_size=\"15886336\"] \n  30 [size=\"70874453\", alpha=\"0.06\", expect_size=\"21262336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37476352\", alpha=\"0.06\", expect_size=\"18738176\"] \n  1 -> 6 [size =\"18738176\"]\n  1 -> 7 [size =\"18738176\"]\n  1 -> 10 [size =\"18738176\"]\n  2 [size=\"56090624\", alpha=\"0.18\", expect_size=\"28045312\"] \n  2 -> 6 [size =\"28045312\"]\n  2 -> 8 [size =\"28045312\"]\n  2 -> 10 [size =\"28045312\"]\n  2 -> 11 [size =\"28045312\"]\n  3 [size=\"87508992\", alpha=\"0.08\", expect_size=\"43754496\"] \n  3 -> 10 [size =\"43754496\"]\n  4 [size=\"19273728\", alpha=\"0.04\", expect_size=\"9636864\"] \n  4 -> 7 [size =\"9636864\"]\n  4 -> 9 [size =\"9636864\"]\n  5 [size=\"28196864\", alpha=\"0.17\", expect_size=\"14098432\"] \n  5 -> 7 [size =\"14098432\"]\n  6 [size=\"17000448\", alpha=\"0.15\", expect_size=\"8500224\"] \n  6 -> 15 [size =\"8500224\"]\n  6 -> 15 [size =\"8500224\"]\n  7 [size=\"36478976\", alpha=\"0.17\", expect_size=\"18239488\"] \n  7 -> 14 [size =\"18239488\"]\n  7 -> 16 [size =\"18239488\"]\n  7 -> 17 [size =\"18239488\"]\n  8 [size=\"102903808\", alpha=\"0.07\", expect_size=\"51451904\"] \n  8 -> 18 [size =\"51451904\"]\n  9 [size=\"13654016\", alpha=\"0.05\", expect_size=\"6827008\"] \n  9 -> 12 [size =\"6827008\"]\n  9 -> 18 [size =\"6827008\"]\n  10 [size=\"103118848\", alpha=\"0.14\", expect_size=\"51559424\"] \n  10 -> 13 [size =\"51559424\"]\n  10 -> 14 [size =\"51559424\"]\n  10 -> 17 [size =\"51559424\"]\n  11 [size=\"43448320\", alpha=\"0.02\", expect_size=\"21724160\"] \n  11 -> 12 [size =\"21724160\"]\n  11 -> 15 [size =\"21724160\"]\n  12 [size=\"73861120\", alpha=\"0.07\", expect_size=\"36930560\"] \n  12 -> 19 [size =\"36930560\"]\n  13 [size=\"65529856\", alpha=\"0.10\", expect_size=\"32764928\"] \n  13 -> 21 [size =\"32764928\"]\n  13 -> 22 [size =\"32764928\"]\n  14 [size=\"103124992\", alpha=\"0.02\", expect_size=\"51562496\"] \n  14 -> 21 [size =\"51562496\"]\n  15 [size=\"27418624\", alpha=\"0.03\", expect_size=\"13709312\"] \n  15 -> 20 [size =\"13709312\"]\n  16 [size=\"13606912\", alpha=\"0.00\", expect_size=\"6803456\"] \n  16 -> 21 [size =\"6803456\"]\n  17 [size=\"86589440\", alpha=\"0.14\", expect_size=\"43294720\"] \n  18 [size=\"72931328\", alpha=\"0.08\", expect_size=\"36465664\"] \n  18 -> 19 [size =\"36465664\"]\n  19 [size=\"12206080\", alpha=\"0.12\", expect_size=\"6103040\"] \n  19 -> 23 [size =\"6103040\"]\n  19 -> 24 [size =\"6103040\"]\n  19 -> 26 [size =\"6103040\"]\n  20 [size=\"35991552\", alpha=\"0.05\", expect_size=\"17995776\"] \n  20 -> 26 [size =\"17995776\"]\n  21 [size=\"102608896\", alpha=\"0.04\", expect_size=\"51304448\"] \n  21 -> 24 [size =\"51304448\"]\n  21 -> 25 [size =\"51304448\"]\n  22 [size=\"15892480\", alpha=\"0.13\", expect_size=\"7946240\"] \n  23 [size=\"48592896\", alpha=\"0.19\", expect_size=\"24296448\"] \n  23 -> 27 [size =\"24296448\"]\n  23 -> 28 [size =\"24296448\"]\n  23 -> 29 [size =\"24296448\"]\n  23 -> 30 [size =\"24296448\"]\n  24 [size=\"95954944\", alpha=\"0.06\", expect_size=\"47977472\"] \n  24 -> 28 [size =\"47977472\"]\n  25 [size=\"103837696\", alpha=\"0.16\", expect_size=\"51918848\"] \n  25 -> 29 [size =\"51918848\"]\n  26 [size=\"25260032\", alpha=\"0.09\", expect_size=\"12630016\"] \n  26 -> 27 [size =\"12630016\"]\n  27 [size=\"27406336\", alpha=\"0.06\", expect_size=\"13703168\"] \n  28 [size=\"94324736\", alpha=\"0.04\", expect_size=\"47162368\"] \n  29 [size=\"36587520\", alpha=\"0.02\", expect_size=\"18293760\"] \n  30 [size=\"92004352\", alpha=\"0.19\", expect_size=\"46002176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35522560\", alpha=\"0.04\", expect_size=\"17761280\"] \n  1 -> 2 [size =\"17761280\"]\n  2 [size=\"87625728\", alpha=\"0.10\", expect_size=\"43812864\"] \n  2 -> 3 [size =\"43812864\"]\n  3 [size=\"22290432\", alpha=\"0.19\", expect_size=\"11145216\"] \n  3 -> 4 [size =\"11145216\"]\n  4 [size=\"15773696\", alpha=\"0.15\", expect_size=\"7886848\"] \n  4 -> 5 [size =\"7886848\"]\n  5 [size=\"37707776\", alpha=\"0.00\", expect_size=\"18853888\"] \n  5 -> 6 [size =\"18853888\"]\n  6 [size=\"73334784\", alpha=\"0.19\", expect_size=\"36667392\"] \n  6 -> 7 [size =\"36667392\"]\n  7 [size=\"94199808\", alpha=\"0.07\", expect_size=\"47099904\"] \n  7 -> 8 [size =\"47099904\"]\n  8 [size=\"46235648\", alpha=\"0.02\", expect_size=\"23117824\"] \n  8 -> 9 [size =\"23117824\"]\n  9 [size=\"46923776\", alpha=\"0.15\", expect_size=\"23461888\"] \n  9 -> 10 [size =\"23461888\"]\n  10 [size=\"71888896\", alpha=\"0.02\", expect_size=\"35944448\"] \n  10 -> 11 [size =\"35944448\"]\n  11 [size=\"69216256\", alpha=\"0.04\", expect_size=\"34608128\"] \n  11 -> 12 [size =\"34608128\"]\n  12 [size=\"87216128\", alpha=\"0.08\", expect_size=\"43608064\"] \n  12 -> 13 [size =\"43608064\"]\n  13 [size=\"40945664\", alpha=\"0.03\", expect_size=\"20472832\"] \n  13 -> 14 [size =\"20472832\"]\n  14 [size=\"38273024\", alpha=\"0.10\", expect_size=\"19136512\"] \n  14 -> 15 [size =\"19136512\"]\n  15 [size=\"14903296\", alpha=\"0.10\", expect_size=\"7451648\"] \n  15 -> 16 [size =\"7451648\"]\n  16 [size=\"15599616\", alpha=\"0.00\", expect_size=\"7799808\"] \n  16 -> 17 [size =\"7799808\"]\n  17 [size=\"10702848\", alpha=\"0.02\", expect_size=\"5351424\"] \n  17 -> 18 [size =\"5351424\"]\n  18 [size=\"43851776\", alpha=\"0.17\", expect_size=\"21925888\"] \n  18 -> 19 [size =\"21925888\"]\n  19 [size=\"54032384\", alpha=\"0.17\", expect_size=\"27016192\"] \n  19 -> 20 [size =\"27016192\"]\n  20 [size=\"30291968\", alpha=\"0.05\", expect_size=\"15145984\"] \n  20 -> 21 [size =\"15145984\"]\n  21 [size=\"40513536\", alpha=\"0.17\", expect_size=\"20256768\"] \n  21 -> 22 [size =\"20256768\"]\n  22 [size=\"59869184\", alpha=\"0.06\", expect_size=\"29934592\"] \n  22 -> 23 [size =\"29934592\"]\n  23 [size=\"99348480\", alpha=\"0.18\", expect_size=\"49674240\"] \n  23 -> 24 [size =\"49674240\"]\n  24 [size=\"18202624\", alpha=\"0.10\", expect_size=\"9101312\"] \n  24 -> 25 [size =\"9101312\"]\n  25 [size=\"66824192\", alpha=\"0.09\", expect_size=\"33412096\"] \n  25 -> 26 [size =\"33412096\"]\n  26 [size=\"20572160\", alpha=\"0.00\", expect_size=\"10286080\"] \n  26 -> 27 [size =\"10286080\"]\n  27 [size=\"22259712\", alpha=\"0.10\", expect_size=\"11129856\"] \n  27 -> 28 [size =\"11129856\"]\n  28 [size=\"31791104\", alpha=\"0.07\", expect_size=\"15895552\"] \n  28 -> 29 [size =\"15895552\"]\n  29 [size=\"18827264\", alpha=\"0.12\", expect_size=\"9413632\"] \n  29 -> 30 [size =\"9413632\"]\n  30 [size=\"99958784\", alpha=\"0.10\", expect_size=\"49979392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26190507\", alpha=\"0.17\", expect_size=\"7857152\"] \n  1 -> 5 [size =\"7857152\"]\n  1 -> 6 [size =\"7857152\"]\n  2 [size=\"65225387\", alpha=\"0.19\", expect_size=\"19567616\"] \n  2 -> 5 [size =\"19567616\"]\n  2 -> 7 [size =\"19567616\"]\n  3 [size=\"74594987\", alpha=\"0.19\", expect_size=\"22378496\"] \n  3 -> 5 [size =\"22378496\"]\n  3 -> 7 [size =\"22378496\"]\n  3 -> 8 [size =\"22378496\"]\n  4 [size=\"144762880\", alpha=\"0.09\", expect_size=\"43428864\"] \n  4 -> 5 [size =\"43428864\"]\n  4 -> 7 [size =\"43428864\"]\n  4 -> 8 [size =\"43428864\"]\n  5 [size=\"54132053\", alpha=\"0.16\", expect_size=\"16239616\"] \n  5 -> 9 [size =\"16239616\"]\n  5 -> 10 [size =\"16239616\"]\n  5 -> 12 [size =\"16239616\"]\n  6 [size=\"122777600\", alpha=\"0.04\", expect_size=\"36833280\"] \n  6 -> 9 [size =\"36833280\"]\n  6 -> 10 [size =\"36833280\"]\n  6 -> 11 [size =\"36833280\"]\n  6 -> 12 [size =\"36833280\"]\n  7 [size=\"113035947\", alpha=\"0.15\", expect_size=\"33910784\"] \n  7 -> 9 [size =\"33910784\"]\n  7 -> 11 [size =\"33910784\"]\n  7 -> 12 [size =\"33910784\"]\n  8 [size=\"26077867\", alpha=\"0.10\", expect_size=\"7823360\"] \n  8 -> 9 [size =\"7823360\"]\n  8 -> 12 [size =\"7823360\"]\n  8 -> 13 [size =\"7823360\"]\n  9 [size=\"97669120\", alpha=\"0.03\", expect_size=\"29300736\"] \n  9 -> 15 [size =\"29300736\"]\n  9 -> 15 [size =\"29300736\"]\n  9 -> 16 [size =\"29300736\"]\n  9 -> 18 [size =\"29300736\"]\n  10 [size=\"59678720\", alpha=\"0.18\", expect_size=\"17903616\"] \n  10 -> 16 [size =\"17903616\"]\n  10 -> 17 [size =\"17903616\"]\n  10 -> 18 [size =\"17903616\"]\n  11 [size=\"96286720\", alpha=\"0.19\", expect_size=\"28886016\"] \n  11 -> 15 [size =\"28886016\"]\n  11 -> 17 [size =\"28886016\"]\n  11 -> 18 [size =\"28886016\"]\n  12 [size=\"68782080\", alpha=\"0.01\", expect_size=\"20634624\"] \n  12 -> 15 [size =\"20634624\"]\n  12 -> 16 [size =\"20634624\"]\n  12 -> 17 [size =\"20634624\"]\n  12 -> 18 [size =\"20634624\"]\n  13 [size=\"57029973\", alpha=\"0.18\", expect_size=\"17108992\"] \n  13 -> 14 [size =\"17108992\"]\n  13 -> 15 [size =\"17108992\"]\n  13 -> 17 [size =\"17108992\"]\n  13 -> 18 [size =\"17108992\"]\n  14 [size=\"47008427\", alpha=\"0.03\", expect_size=\"14102528\"] \n  14 -> 22 [size =\"14102528\"]\n  15 [size=\"120330240\", alpha=\"0.06\", expect_size=\"36099072\"] \n  15 -> 19 [size =\"36099072\"]\n  15 -> 22 [size =\"36099072\"]\n  16 [size=\"87709013\", alpha=\"0.11\", expect_size=\"26312704\"] \n  16 -> 20 [size =\"26312704\"]\n  17 [size=\"119415467\", alpha=\"0.05\", expect_size=\"35824640\"] \n  17 -> 19 [size =\"35824640\"]\n  17 -> 21 [size =\"35824640\"]\n  18 [size=\"83271680\", alpha=\"0.17\", expect_size=\"24981504\"] \n  18 -> 19 [size =\"24981504\"]\n  18 -> 21 [size =\"24981504\"]\n  19 [size=\"163130027\", alpha=\"0.10\", expect_size=\"48939008\"] \n  19 -> 23 [size =\"48939008\"]\n  19 -> 25 [size =\"48939008\"]\n  19 -> 26 [size =\"48939008\"]\n  19 -> 27 [size =\"48939008\"]\n  20 [size=\"32174080\", alpha=\"0.07\", expect_size=\"9652224\"] \n  20 -> 23 [size =\"9652224\"]\n  20 -> 25 [size =\"9652224\"]\n  20 -> 26 [size =\"9652224\"]\n  20 -> 27 [size =\"9652224\"]\n  21 [size=\"19517440\", alpha=\"0.05\", expect_size=\"5855232\"] \n  21 -> 25 [size =\"5855232\"]\n  21 -> 26 [size =\"5855232\"]\n  21 -> 27 [size =\"5855232\"]\n  21 -> 27 [size =\"5855232\"]\n  22 [size=\"171277653\", alpha=\"0.10\", expect_size=\"51383296\"] \n  22 -> 23 [size =\"51383296\"]\n  22 -> 24 [size =\"51383296\"]\n  22 -> 25 [size =\"51383296\"]\n  22 -> 26 [size =\"51383296\"]\n  23 [size=\"17967787\", alpha=\"0.01\", expect_size=\"5390336\"] \n  23 -> 28 [size =\"5390336\"]\n  23 -> 29 [size =\"5390336\"]\n  23 -> 30 [size =\"5390336\"]\n  24 [size=\"158126080\", alpha=\"0.09\", expect_size=\"47437824\"] \n  24 -> 29 [size =\"47437824\"]\n  24 -> 29 [size =\"47437824\"]\n  25 [size=\"23951360\", alpha=\"0.01\", expect_size=\"7185408\"] \n  25 -> 30 [size =\"7185408\"]\n  26 [size=\"69707093\", alpha=\"0.07\", expect_size=\"20912128\"] \n  26 -> 28 [size =\"20912128\"]\n  26 -> 30 [size =\"20912128\"]\n  27 [size=\"156136107\", alpha=\"0.05\", expect_size=\"46840832\"] \n  27 -> 28 [size =\"46840832\"]\n  28 [size=\"37300907\", alpha=\"0.03\", expect_size=\"11190272\"] \n  29 [size=\"172066133\", alpha=\"0.13\", expect_size=\"51619840\"] \n  30 [size=\"96075093\", alpha=\"0.07\", expect_size=\"28822528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103290880\", alpha=\"0.01\", expect_size=\"41316352\"] \n  1 -> 25 [size =\"41316352\"]\n  1 -> 26 [size =\"41316352\"]\n  1 -> 27 [size =\"41316352\"]\n  1 -> 30 [size =\"41316352\"]\n  2 [size=\"94906880\", alpha=\"0.13\", expect_size=\"37962752\"] \n  2 -> 25 [size =\"37962752\"]\n  2 -> 27 [size =\"37962752\"]\n  2 -> 29 [size =\"37962752\"]\n  3 [size=\"90519040\", alpha=\"0.17\", expect_size=\"36207616\"] \n  3 -> 26 [size =\"36207616\"]\n  3 -> 27 [size =\"36207616\"]\n  4 [size=\"58460160\", alpha=\"0.19\", expect_size=\"23384064\"] \n  4 -> 25 [size =\"23384064\"]\n  4 -> 26 [size =\"23384064\"]\n  4 -> 28 [size =\"23384064\"]\n  4 -> 29 [size =\"23384064\"]\n  5 [size=\"113354240\", alpha=\"0.14\", expect_size=\"45341696\"] \n  5 -> 25 [size =\"45341696\"]\n  6 [size=\"46824960\", alpha=\"0.01\", expect_size=\"18729984\"] \n  6 -> 25 [size =\"18729984\"]\n  6 -> 28 [size =\"18729984\"]\n  6 -> 30 [size =\"18729984\"]\n  7 [size=\"106424320\", alpha=\"0.02\", expect_size=\"42569728\"] \n  7 -> 25 [size =\"42569728\"]\n  8 [size=\"13619200\", alpha=\"0.11\", expect_size=\"5447680\"] \n  9 [size=\"86182400\", alpha=\"0.15\", expect_size=\"34472960\"] \n  9 -> 26 [size =\"34472960\"]\n  9 -> 29 [size =\"34472960\"]\n  10 [size=\"101204480\", alpha=\"0.08\", expect_size=\"40481792\"] \n  10 -> 26 [size =\"40481792\"]\n  10 -> 30 [size =\"40481792\"]\n  11 [size=\"27599360\", alpha=\"0.06\", expect_size=\"11039744\"] \n  11 -> 26 [size =\"11039744\"]\n  11 -> 28 [size =\"11039744\"]\n  11 -> 30 [size =\"11039744\"]\n  12 [size=\"34757120\", alpha=\"0.05\", expect_size=\"13902848\"] \n  12 -> 27 [size =\"13902848\"]\n  12 -> 28 [size =\"13902848\"]\n  13 [size=\"111272960\", alpha=\"0.05\", expect_size=\"44509184\"] \n  13 -> 26 [size =\"44509184\"]\n  13 -> 27 [size =\"44509184\"]\n  13 -> 28 [size =\"44509184\"]\n  13 -> 30 [size =\"44509184\"]\n  14 [size=\"90775040\", alpha=\"0.20\", expect_size=\"36310016\"] \n  14 -> 27 [size =\"36310016\"]\n  14 -> 28 [size =\"36310016\"]\n  14 -> 28 [size =\"36310016\"]\n  14 -> 30 [size =\"36310016\"]\n  15 [size=\"87357440\", alpha=\"0.07\", expect_size=\"34942976\"] \n  15 -> 26 [size =\"34942976\"]\n  15 -> 27 [size =\"34942976\"]\n  15 -> 28 [size =\"34942976\"]\n  15 -> 29 [size =\"34942976\"]\n  15 -> 30 [size =\"34942976\"]\n  16 [size=\"49308160\", alpha=\"0.04\", expect_size=\"19723264\"] \n  16 -> 26 [size =\"19723264\"]\n  16 -> 27 [size =\"19723264\"]\n  16 -> 28 [size =\"19723264\"]\n  16 -> 29 [size =\"19723264\"]\n  16 -> 30 [size =\"19723264\"]\n  17 [size=\"56665600\", alpha=\"0.12\", expect_size=\"22666240\"] \n  17 -> 25 [size =\"22666240\"]\n  17 -> 26 [size =\"22666240\"]\n  17 -> 27 [size =\"22666240\"]\n  17 -> 28 [size =\"22666240\"]\n  17 -> 29 [size =\"22666240\"]\n  18 [size=\"66270720\", alpha=\"0.05\", expect_size=\"26508288\"] \n  18 -> 26 [size =\"26508288\"]\n  18 -> 27 [size =\"26508288\"]\n  18 -> 27 [size =\"26508288\"]\n  18 -> 28 [size =\"26508288\"]\n  18 -> 29 [size =\"26508288\"]\n  18 -> 30 [size =\"26508288\"]\n  19 [size=\"15912960\", alpha=\"0.08\", expect_size=\"6365184\"] \n  19 -> 26 [size =\"6365184\"]\n  19 -> 27 [size =\"6365184\"]\n  19 -> 28 [size =\"6365184\"]\n  20 [size=\"104061440\", alpha=\"0.13\", expect_size=\"41624576\"] \n  20 -> 26 [size =\"41624576\"]\n  20 -> 27 [size =\"41624576\"]\n  20 -> 28 [size =\"41624576\"]\n  21 [size=\"35589120\", alpha=\"0.13\", expect_size=\"14235648\"] \n  21 -> 25 [size =\"14235648\"]\n  21 -> 26 [size =\"14235648\"]\n  21 -> 27 [size =\"14235648\"]\n  22 [size=\"73159680\", alpha=\"0.07\", expect_size=\"29263872\"] \n  22 -> 26 [size =\"29263872\"]\n  22 -> 27 [size =\"29263872\"]\n  23 [size=\"105397760\", alpha=\"0.14\", expect_size=\"42159104\"] \n  23 -> 25 [size =\"42159104\"]\n  23 -> 26 [size =\"42159104\"]\n  23 -> 29 [size =\"42159104\"]\n  24 [size=\"18995200\", alpha=\"0.09\", expect_size=\"7598080\"] \n  24 -> 25 [size =\"7598080\"]\n  24 -> 26 [size =\"7598080\"]\n  24 -> 29 [size =\"7598080\"]\n  25 [size=\"18393600\", alpha=\"0.00\", expect_size=\"7357440\"] \n  26 [size=\"59624960\", alpha=\"0.18\", expect_size=\"23849984\"] \n  27 [size=\"83317760\", alpha=\"0.11\", expect_size=\"33327104\"] \n  28 [size=\"36154880\", alpha=\"0.04\", expect_size=\"14461952\"] \n  29 [size=\"66688000\", alpha=\"0.10\", expect_size=\"26675200\"] \n  30 [size=\"115927040\", alpha=\"0.11\", expect_size=\"46370816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99322880\", alpha=\"0.13\", expect_size=\"39729152\"] \n  1 -> 7 [size =\"39729152\"]\n  1 -> 10 [size =\"39729152\"]\n  1 -> 11 [size =\"39729152\"]\n  2 [size=\"52718080\", alpha=\"0.00\", expect_size=\"21087232\"] \n  2 -> 7 [size =\"21087232\"]\n  2 -> 9 [size =\"21087232\"]\n  2 -> 11 [size =\"21087232\"]\n  3 [size=\"79559680\", alpha=\"0.05\", expect_size=\"31823872\"] \n  3 -> 10 [size =\"31823872\"]\n  4 [size=\"16322560\", alpha=\"0.05\", expect_size=\"6529024\"] \n  4 -> 10 [size =\"6529024\"]\n  5 [size=\"115747840\", alpha=\"0.20\", expect_size=\"46299136\"] \n  5 -> 10 [size =\"46299136\"]\n  5 -> 11 [size =\"46299136\"]\n  6 [size=\"127313920\", alpha=\"0.02\", expect_size=\"50925568\"] \n  6 -> 8 [size =\"50925568\"]\n  6 -> 11 [size =\"50925568\"]\n  7 [size=\"73187840\", alpha=\"0.01\", expect_size=\"29275136\"] \n  7 -> 13 [size =\"29275136\"]\n  8 [size=\"60976640\", alpha=\"0.19\", expect_size=\"24390656\"] \n  8 -> 14 [size =\"24390656\"]\n  9 [size=\"47321600\", alpha=\"0.06\", expect_size=\"18928640\"] \n  9 -> 14 [size =\"18928640\"]\n  10 [size=\"110254080\", alpha=\"0.09\", expect_size=\"44101632\"] \n  10 -> 12 [size =\"44101632\"]\n  10 -> 13 [size =\"44101632\"]\n  10 -> 15 [size =\"44101632\"]\n  11 [size=\"71354880\", alpha=\"0.04\", expect_size=\"28541952\"] \n  11 -> 13 [size =\"28541952\"]\n  12 [size=\"30763520\", alpha=\"0.08\", expect_size=\"12305408\"] \n  12 -> 16 [size =\"12305408\"]\n  12 -> 19 [size =\"12305408\"]\n  13 [size=\"33239040\", alpha=\"0.05\", expect_size=\"13295616\"] \n  13 -> 17 [size =\"13295616\"]\n  14 [size=\"64312320\", alpha=\"0.11\", expect_size=\"25724928\"] \n  14 -> 18 [size =\"25724928\"]\n  14 -> 20 [size =\"25724928\"]\n  15 [size=\"90920960\", alpha=\"0.09\", expect_size=\"36368384\"] \n  15 -> 16 [size =\"36368384\"]\n  15 -> 18 [size =\"36368384\"]\n  15 -> 20 [size =\"36368384\"]\n  16 [size=\"90170880\", alpha=\"0.14\", expect_size=\"36068352\"] \n  16 -> 21 [size =\"36068352\"]\n  16 -> 23 [size =\"36068352\"]\n  17 [size=\"102103040\", alpha=\"0.14\", expect_size=\"40841216\"] \n  17 -> 23 [size =\"40841216\"]\n  17 -> 23 [size =\"40841216\"]\n  17 -> 24 [size =\"40841216\"]\n  18 [size=\"105640960\", alpha=\"0.01\", expect_size=\"42256384\"] \n  18 -> 22 [size =\"42256384\"]\n  18 -> 23 [size =\"42256384\"]\n  19 [size=\"99220480\", alpha=\"0.02\", expect_size=\"39688192\"] \n  19 -> 24 [size =\"39688192\"]\n  20 [size=\"17950720\", alpha=\"0.11\", expect_size=\"7180288\"] \n  20 -> 21 [size =\"7180288\"]\n  20 -> 24 [size =\"7180288\"]\n  21 [size=\"69962240\", alpha=\"0.15\", expect_size=\"27984896\"] \n  21 -> 27 [size =\"27984896\"]\n  22 [size=\"93770240\", alpha=\"0.06\", expect_size=\"37508096\"] \n  22 -> 26 [size =\"37508096\"]\n  23 [size=\"23283200\", alpha=\"0.08\", expect_size=\"9313280\"] \n  23 -> 26 [size =\"9313280\"]\n  23 -> 27 [size =\"9313280\"]\n  24 [size=\"49971200\", alpha=\"0.11\", expect_size=\"19988480\"] \n  24 -> 25 [size =\"19988480\"]\n  24 -> 26 [size =\"19988480\"]\n  24 -> 27 [size =\"19988480\"]\n  25 [size=\"112412160\", alpha=\"0.10\", expect_size=\"44964864\"] \n  25 -> 28 [size =\"44964864\"]\n  25 -> 29 [size =\"44964864\"]\n  25 -> 30 [size =\"44964864\"]\n  26 [size=\"47697920\", alpha=\"0.10\", expect_size=\"19079168\"] \n  27 [size=\"128069120\", alpha=\"0.19\", expect_size=\"51227648\"] \n  28 [size=\"92674560\", alpha=\"0.17\", expect_size=\"37069824\"] \n  29 [size=\"98539520\", alpha=\"0.00\", expect_size=\"39415808\"] \n  30 [size=\"109898240\", alpha=\"0.00\", expect_size=\"43959296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35362133\", alpha=\"0.10\", expect_size=\"10608640\"] \n  1 -> 3 [size =\"10608640\"]\n  1 -> 4 [size =\"10608640\"]\n  2 [size=\"29074773\", alpha=\"0.19\", expect_size=\"8722432\"] \n  2 -> 3 [size =\"8722432\"]\n  2 -> 4 [size =\"8722432\"]\n  3 [size=\"86111573\", alpha=\"0.10\", expect_size=\"25833472\"] \n  3 -> 5 [size =\"25833472\"]\n  4 [size=\"48189440\", alpha=\"0.00\", expect_size=\"14456832\"] \n  4 -> 5 [size =\"14456832\"]\n  5 [size=\"122630827\", alpha=\"0.06\", expect_size=\"36789248\"] \n  5 -> 6 [size =\"36789248\"]\n  5 -> 7 [size =\"36789248\"]\n  6 [size=\"55695360\", alpha=\"0.13\", expect_size=\"16708608\"] \n  6 -> 8 [size =\"16708608\"]\n  7 [size=\"114722133\", alpha=\"0.10\", expect_size=\"34416640\"] \n  8 [size=\"40553813\", alpha=\"0.13\", expect_size=\"12166144\"] \n  8 -> 9 [size =\"12166144\"]\n  8 -> 10 [size =\"12166144\"]\n  9 [size=\"89582933\", alpha=\"0.01\", expect_size=\"26874880\"] \n  10 [size=\"142643200\", alpha=\"0.05\", expect_size=\"42792960\"] \n  10 -> 11 [size =\"42792960\"]\n  11 [size=\"75591680\", alpha=\"0.03\", expect_size=\"22677504\"] \n  11 -> 12 [size =\"22677504\"]\n  12 [size=\"151169707\", alpha=\"0.03\", expect_size=\"45350912\"] \n  12 -> 13 [size =\"45350912\"]\n  13 [size=\"143063040\", alpha=\"0.15\", expect_size=\"42918912\"] \n  13 -> 14 [size =\"42918912\"]\n  13 -> 15 [size =\"42918912\"]\n  14 [size=\"62856533\", alpha=\"0.19\", expect_size=\"18856960\"] \n  14 -> 16 [size =\"18856960\"]\n  14 -> 17 [size =\"18856960\"]\n  15 [size=\"65368747\", alpha=\"0.17\", expect_size=\"19610624\"] \n  15 -> 16 [size =\"19610624\"]\n  15 -> 17 [size =\"19610624\"]\n  16 [size=\"114131627\", alpha=\"0.03\", expect_size=\"34239488\"] \n  16 -> 19 [size =\"34239488\"]\n  17 [size=\"56808107\", alpha=\"0.06\", expect_size=\"17042432\"] \n  17 -> 18 [size =\"17042432\"]\n  17 -> 19 [size =\"17042432\"]\n  18 [size=\"134836907\", alpha=\"0.15\", expect_size=\"40451072\"] \n  18 -> 20 [size =\"40451072\"]\n  19 [size=\"82957653\", alpha=\"0.18\", expect_size=\"24887296\"] \n  19 -> 20 [size =\"24887296\"]\n  20 [size=\"93893973\", alpha=\"0.03\", expect_size=\"28168192\"] \n  20 -> 21 [size =\"28168192\"]\n  21 [size=\"137038507\", alpha=\"0.11\", expect_size=\"41111552\"] \n  21 -> 22 [size =\"41111552\"]\n  22 [size=\"162440533\", alpha=\"0.20\", expect_size=\"48732160\"] \n  22 -> 23 [size =\"48732160\"]\n  22 -> 24 [size =\"48732160\"]\n  23 [size=\"28088320\", alpha=\"0.18\", expect_size=\"8426496\"] \n  23 -> 25 [size =\"8426496\"]\n  24 [size=\"147080533\", alpha=\"0.19\", expect_size=\"44124160\"] \n  25 [size=\"142711467\", alpha=\"0.14\", expect_size=\"42813440\"] \n  25 -> 26 [size =\"42813440\"]\n  26 [size=\"121695573\", alpha=\"0.14\", expect_size=\"36508672\"] \n  26 -> 27 [size =\"36508672\"]\n  27 [size=\"146599253\", alpha=\"0.07\", expect_size=\"43979776\"] \n  27 -> 28 [size =\"43979776\"]\n  28 [size=\"33662293\", alpha=\"0.02\", expect_size=\"10098688\"] \n  28 -> 29 [size =\"10098688\"]\n  28 -> 30 [size =\"10098688\"]\n  29 [size=\"149531307\", alpha=\"0.07\", expect_size=\"44859392\"] \n  30 [size=\"131082240\", alpha=\"0.07\", expect_size=\"39324672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81300480\", alpha=\"0.03\", expect_size=\"32520192\"] \n  1 -> 21 [size =\"32520192\"]\n  1 -> 25 [size =\"32520192\"]\n  1 -> 26 [size =\"32520192\"]\n  1 -> 28 [size =\"32520192\"]\n  2 [size=\"14945280\", alpha=\"0.08\", expect_size=\"5978112\"] \n  2 -> 19 [size =\"5978112\"]\n  2 -> 22 [size =\"5978112\"]\n  2 -> 24 [size =\"5978112\"]\n  2 -> 26 [size =\"5978112\"]\n  2 -> 28 [size =\"5978112\"]\n  2 -> 30 [size =\"5978112\"]\n  3 [size=\"129397760\", alpha=\"0.18\", expect_size=\"51759104\"] \n  3 -> 19 [size =\"51759104\"]\n  3 -> 22 [size =\"51759104\"]\n  3 -> 24 [size =\"51759104\"]\n  3 -> 26 [size =\"51759104\"]\n  3 -> 28 [size =\"51759104\"]\n  3 -> 29 [size =\"51759104\"]\n  4 [size=\"113584640\", alpha=\"0.05\", expect_size=\"45433856\"] \n  4 -> 19 [size =\"45433856\"]\n  4 -> 22 [size =\"45433856\"]\n  4 -> 24 [size =\"45433856\"]\n  4 -> 25 [size =\"45433856\"]\n  4 -> 26 [size =\"45433856\"]\n  4 -> 29 [size =\"45433856\"]\n  5 [size=\"47838720\", alpha=\"0.05\", expect_size=\"19135488\"] \n  5 -> 20 [size =\"19135488\"]\n  5 -> 21 [size =\"19135488\"]\n  5 -> 22 [size =\"19135488\"]\n  5 -> 24 [size =\"19135488\"]\n  5 -> 25 [size =\"19135488\"]\n  5 -> 29 [size =\"19135488\"]\n  6 [size=\"56197120\", alpha=\"0.10\", expect_size=\"22478848\"] \n  6 -> 21 [size =\"22478848\"]\n  6 -> 23 [size =\"22478848\"]\n  6 -> 24 [size =\"22478848\"]\n  6 -> 25 [size =\"22478848\"]\n  6 -> 29 [size =\"22478848\"]\n  6 -> 29 [size =\"22478848\"]\n  6 -> 30 [size =\"22478848\"]\n  7 [size=\"97758720\", alpha=\"0.16\", expect_size=\"39103488\"] \n  7 -> 23 [size =\"39103488\"]\n  7 -> 24 [size =\"39103488\"]\n  7 -> 25 [size =\"39103488\"]\n  7 -> 30 [size =\"39103488\"]\n  8 [size=\"39249920\", alpha=\"0.09\", expect_size=\"15699968\"] \n  8 -> 20 [size =\"15699968\"]\n  8 -> 21 [size =\"15699968\"]\n  8 -> 25 [size =\"15699968\"]\n  9 [size=\"56322560\", alpha=\"0.16\", expect_size=\"22529024\"] \n  9 -> 20 [size =\"22529024\"]\n  9 -> 23 [size =\"22529024\"]\n  9 -> 25 [size =\"22529024\"]\n  9 -> 26 [size =\"22529024\"]\n  9 -> 28 [size =\"22529024\"]\n  9 -> 29 [size =\"22529024\"]\n  9 -> 30 [size =\"22529024\"]\n  10 [size=\"26711040\", alpha=\"0.02\", expect_size=\"10684416\"] \n  10 -> 27 [size =\"10684416\"]\n  10 -> 29 [size =\"10684416\"]\n  11 [size=\"68116480\", alpha=\"0.18\", expect_size=\"27246592\"] \n  11 -> 20 [size =\"27246592\"]\n  11 -> 23 [size =\"27246592\"]\n  11 -> 28 [size =\"27246592\"]\n  12 [size=\"87052800\", alpha=\"0.11\", expect_size=\"34821120\"] \n  12 -> 19 [size =\"34821120\"]\n  12 -> 23 [size =\"34821120\"]\n  12 -> 29 [size =\"34821120\"]\n  13 [size=\"17871360\", alpha=\"0.11\", expect_size=\"7148544\"] \n  13 -> 19 [size =\"7148544\"]\n  13 -> 20 [size =\"7148544\"]\n  13 -> 21 [size =\"7148544\"]\n  13 -> 24 [size =\"7148544\"]\n  13 -> 28 [size =\"7148544\"]\n  14 [size=\"121290240\", alpha=\"0.13\", expect_size=\"48516096\"] \n  14 -> 19 [size =\"48516096\"]\n  14 -> 21 [size =\"48516096\"]\n  14 -> 21 [size =\"48516096\"]\n  14 -> 22 [size =\"48516096\"]\n  14 -> 23 [size =\"48516096\"]\n  14 -> 24 [size =\"48516096\"]\n  14 -> 26 [size =\"48516096\"]\n  14 -> 27 [size =\"48516096\"]\n  15 [size=\"35650560\", alpha=\"0.05\", expect_size=\"14260224\"] \n  15 -> 22 [size =\"14260224\"]\n  15 -> 23 [size =\"14260224\"]\n  15 -> 24 [size =\"14260224\"]\n  15 -> 26 [size =\"14260224\"]\n  15 -> 30 [size =\"14260224\"]\n  16 [size=\"66086400\", alpha=\"0.15\", expect_size=\"26434560\"] \n  16 -> 20 [size =\"26434560\"]\n  16 -> 22 [size =\"26434560\"]\n  16 -> 23 [size =\"26434560\"]\n  16 -> 25 [size =\"26434560\"]\n  16 -> 28 [size =\"26434560\"]\n  16 -> 30 [size =\"26434560\"]\n  17 [size=\"127733760\", alpha=\"0.20\", expect_size=\"51093504\"] \n  17 -> 19 [size =\"51093504\"]\n  17 -> 21 [size =\"51093504\"]\n  17 -> 25 [size =\"51093504\"]\n  17 -> 27 [size =\"51093504\"]\n  17 -> 28 [size =\"51093504\"]\n  18 [size=\"102433280\", alpha=\"0.00\", expect_size=\"40973312\"] \n  18 -> 23 [size =\"40973312\"]\n  18 -> 28 [size =\"40973312\"]\n  18 -> 30 [size =\"40973312\"]\n  19 [size=\"35648000\", alpha=\"0.17\", expect_size=\"14259200\"] \n  20 [size=\"128204800\", alpha=\"0.05\", expect_size=\"51281920\"] \n  21 [size=\"22499840\", alpha=\"0.05\", expect_size=\"8999936\"] \n  22 [size=\"130990080\", alpha=\"0.05\", expect_size=\"52396032\"] \n  23 [size=\"76280320\", alpha=\"0.05\", expect_size=\"30512128\"] \n  24 [size=\"21253120\", alpha=\"0.02\", expect_size=\"8501248\"] \n  25 [size=\"99463680\", alpha=\"0.05\", expect_size=\"39785472\"] \n  26 [size=\"13219840\", alpha=\"0.16\", expect_size=\"5287936\"] \n  27 [size=\"104322560\", alpha=\"0.00\", expect_size=\"41729024\"] \n  28 [size=\"103014400\", alpha=\"0.09\", expect_size=\"41205760\"] \n  29 [size=\"104893440\", alpha=\"0.06\", expect_size=\"41957376\"] \n  30 [size=\"85649920\", alpha=\"0.04\", expect_size=\"34259968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93998080\", alpha=\"0.01\", expect_size=\"37599232\"] \n  1 -> 20 [size =\"37599232\"]\n  1 -> 22 [size =\"37599232\"]\n  1 -> 23 [size =\"37599232\"]\n  1 -> 30 [size =\"37599232\"]\n  2 [size=\"126328320\", alpha=\"0.10\", expect_size=\"50531328\"] \n  2 -> 21 [size =\"50531328\"]\n  2 -> 28 [size =\"50531328\"]\n  2 -> 30 [size =\"50531328\"]\n  3 [size=\"83837440\", alpha=\"0.08\", expect_size=\"33534976\"] \n  3 -> 21 [size =\"33534976\"]\n  3 -> 22 [size =\"33534976\"]\n  3 -> 25 [size =\"33534976\"]\n  3 -> 27 [size =\"33534976\"]\n  3 -> 28 [size =\"33534976\"]\n  3 -> 29 [size =\"33534976\"]\n  3 -> 30 [size =\"33534976\"]\n  4 [size=\"93160960\", alpha=\"0.18\", expect_size=\"37264384\"] \n  4 -> 22 [size =\"37264384\"]\n  4 -> 23 [size =\"37264384\"]\n  4 -> 27 [size =\"37264384\"]\n  4 -> 28 [size =\"37264384\"]\n  5 [size=\"105244160\", alpha=\"0.13\", expect_size=\"42097664\"] \n  5 -> 22 [size =\"42097664\"]\n  5 -> 25 [size =\"42097664\"]\n  5 -> 27 [size =\"42097664\"]\n  5 -> 29 [size =\"42097664\"]\n  6 [size=\"60014080\", alpha=\"0.07\", expect_size=\"24005632\"] \n  6 -> 20 [size =\"24005632\"]\n  6 -> 26 [size =\"24005632\"]\n  6 -> 27 [size =\"24005632\"]\n  7 [size=\"56363520\", alpha=\"0.14\", expect_size=\"22545408\"] \n  7 -> 22 [size =\"22545408\"]\n  7 -> 29 [size =\"22545408\"]\n  7 -> 30 [size =\"22545408\"]\n  8 [size=\"68426240\", alpha=\"0.18\", expect_size=\"27370496\"] \n  8 -> 24 [size =\"27370496\"]\n  8 -> 26 [size =\"27370496\"]\n  8 -> 28 [size =\"27370496\"]\n  9 [size=\"106521600\", alpha=\"0.10\", expect_size=\"42608640\"] \n  9 -> 22 [size =\"42608640\"]\n  9 -> 23 [size =\"42608640\"]\n  9 -> 25 [size =\"42608640\"]\n  9 -> 28 [size =\"42608640\"]\n  10 [size=\"101611520\", alpha=\"0.11\", expect_size=\"40644608\"] \n  10 -> 20 [size =\"40644608\"]\n  10 -> 23 [size =\"40644608\"]\n  11 [size=\"63723520\", alpha=\"0.20\", expect_size=\"25489408\"] \n  11 -> 20 [size =\"25489408\"]\n  11 -> 23 [size =\"25489408\"]\n  11 -> 26 [size =\"25489408\"]\n  11 -> 27 [size =\"25489408\"]\n  11 -> 28 [size =\"25489408\"]\n  11 -> 29 [size =\"25489408\"]\n  11 -> 30 [size =\"25489408\"]\n  12 [size=\"67361280\", alpha=\"0.07\", expect_size=\"26944512\"] \n  12 -> 26 [size =\"26944512\"]\n  12 -> 30 [size =\"26944512\"]\n  13 [size=\"127116800\", alpha=\"0.00\", expect_size=\"50846720\"] \n  13 -> 26 [size =\"50846720\"]\n  13 -> 28 [size =\"50846720\"]\n  14 [size=\"56284160\", alpha=\"0.09\", expect_size=\"22513664\"] \n  14 -> 20 [size =\"22513664\"]\n  14 -> 25 [size =\"22513664\"]\n  14 -> 26 [size =\"22513664\"]\n  14 -> 29 [size =\"22513664\"]\n  14 -> 30 [size =\"22513664\"]\n  15 [size=\"42447360\", alpha=\"0.20\", expect_size=\"16978944\"] \n  15 -> 21 [size =\"16978944\"]\n  15 -> 22 [size =\"16978944\"]\n  15 -> 25 [size =\"16978944\"]\n  16 [size=\"116515840\", alpha=\"0.08\", expect_size=\"46606336\"] \n  16 -> 21 [size =\"46606336\"]\n  16 -> 25 [size =\"46606336\"]\n  16 -> 26 [size =\"46606336\"]\n  16 -> 28 [size =\"46606336\"]\n  16 -> 30 [size =\"46606336\"]\n  17 [size=\"40417280\", alpha=\"0.14\", expect_size=\"16166912\"] \n  17 -> 20 [size =\"16166912\"]\n  17 -> 29 [size =\"16166912\"]\n  17 -> 30 [size =\"16166912\"]\n  18 [size=\"123248640\", alpha=\"0.04\", expect_size=\"49299456\"] \n  18 -> 22 [size =\"49299456\"]\n  18 -> 25 [size =\"49299456\"]\n  18 -> 29 [size =\"49299456\"]\n  19 [size=\"112209920\", alpha=\"0.19\", expect_size=\"44883968\"] \n  19 -> 20 [size =\"44883968\"]\n  19 -> 22 [size =\"44883968\"]\n  19 -> 23 [size =\"44883968\"]\n  19 -> 25 [size =\"44883968\"]\n  20 [size=\"51712000\", alpha=\"0.12\", expect_size=\"20684800\"] \n  21 [size=\"113927680\", alpha=\"0.20\", expect_size=\"45571072\"] \n  22 [size=\"112560640\", alpha=\"0.06\", expect_size=\"45024256\"] \n  23 [size=\"33873920\", alpha=\"0.04\", expect_size=\"13549568\"] \n  24 [size=\"34657280\", alpha=\"0.16\", expect_size=\"13862912\"] \n  25 [size=\"87385600\", alpha=\"0.04\", expect_size=\"34954240\"] \n  26 [size=\"85235200\", alpha=\"0.19\", expect_size=\"34094080\"] \n  27 [size=\"130388480\", alpha=\"0.02\", expect_size=\"52155392\"] \n  28 [size=\"97456640\", alpha=\"0.14\", expect_size=\"38982656\"] \n  29 [size=\"123624960\", alpha=\"0.02\", expect_size=\"49449984\"] \n  30 [size=\"117811200\", alpha=\"0.05\", expect_size=\"47124480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91899904\", alpha=\"0.19\", expect_size=\"45949952\"] \n  1 -> 27 [size =\"45949952\"]\n  1 -> 29 [size =\"45949952\"]\n  1 -> 30 [size =\"45949952\"]\n  2 [size=\"84359168\", alpha=\"0.19\", expect_size=\"42179584\"] \n  2 -> 25 [size =\"42179584\"]\n  2 -> 28 [size =\"42179584\"]\n  3 [size=\"20742144\", alpha=\"0.14\", expect_size=\"10371072\"] \n  3 -> 25 [size =\"10371072\"]\n  3 -> 26 [size =\"10371072\"]\n  4 [size=\"84701184\", alpha=\"0.05\", expect_size=\"42350592\"] \n  4 -> 25 [size =\"42350592\"]\n  4 -> 26 [size =\"42350592\"]\n  5 [size=\"79804416\", alpha=\"0.02\", expect_size=\"39902208\"] \n  5 -> 26 [size =\"39902208\"]\n  5 -> 28 [size =\"39902208\"]\n  6 [size=\"61917184\", alpha=\"0.09\", expect_size=\"30958592\"] \n  6 -> 24 [size =\"30958592\"]\n  6 -> 25 [size =\"30958592\"]\n  6 -> 26 [size =\"30958592\"]\n  7 [size=\"49809408\", alpha=\"0.14\", expect_size=\"24904704\"] \n  7 -> 25 [size =\"24904704\"]\n  7 -> 25 [size =\"24904704\"]\n  7 -> 26 [size =\"24904704\"]\n  7 -> 27 [size =\"24904704\"]\n  7 -> 30 [size =\"24904704\"]\n  8 [size=\"20459520\", alpha=\"0.14\", expect_size=\"10229760\"] \n  8 -> 25 [size =\"10229760\"]\n  8 -> 27 [size =\"10229760\"]\n  8 -> 29 [size =\"10229760\"]\n  8 -> 30 [size =\"10229760\"]\n  9 [size=\"27643904\", alpha=\"0.06\", expect_size=\"13821952\"] \n  9 -> 25 [size =\"13821952\"]\n  10 [size=\"37210112\", alpha=\"0.19\", expect_size=\"18605056\"] \n  10 -> 24 [size =\"18605056\"]\n  10 -> 26 [size =\"18605056\"]\n  11 [size=\"38690816\", alpha=\"0.10\", expect_size=\"19345408\"] \n  11 -> 26 [size =\"19345408\"]\n  12 [size=\"35287040\", alpha=\"0.08\", expect_size=\"17643520\"] \n  12 -> 26 [size =\"17643520\"]\n  13 [size=\"32059392\", alpha=\"0.05\", expect_size=\"16029696\"] \n  14 [size=\"96000000\", alpha=\"0.15\", expect_size=\"48000000\"] \n  14 -> 25 [size =\"48000000\"]\n  14 -> 27 [size =\"48000000\"]\n  15 [size=\"26013696\", alpha=\"0.14\", expect_size=\"13006848\"] \n  15 -> 27 [size =\"13006848\"]\n  16 [size=\"37142528\", alpha=\"0.08\", expect_size=\"18571264\"] \n  16 -> 25 [size =\"18571264\"]\n  16 -> 26 [size =\"18571264\"]\n  16 -> 29 [size =\"18571264\"]\n  17 [size=\"80885760\", alpha=\"0.10\", expect_size=\"40442880\"] \n  17 -> 25 [size =\"40442880\"]\n  17 -> 26 [size =\"40442880\"]\n  18 [size=\"53954560\", alpha=\"0.04\", expect_size=\"26977280\"] \n  19 [size=\"26652672\", alpha=\"0.03\", expect_size=\"13326336\"] \n  19 -> 24 [size =\"13326336\"]\n  19 -> 25 [size =\"13326336\"]\n  20 [size=\"53868544\", alpha=\"0.02\", expect_size=\"26934272\"] \n  20 -> 25 [size =\"26934272\"]\n  20 -> 26 [size =\"26934272\"]\n  20 -> 28 [size =\"26934272\"]\n  20 -> 30 [size =\"26934272\"]\n  21 [size=\"50466816\", alpha=\"0.18\", expect_size=\"25233408\"] \n  21 -> 26 [size =\"25233408\"]\n  21 -> 30 [size =\"25233408\"]\n  22 [size=\"99074048\", alpha=\"0.10\", expect_size=\"49537024\"] \n  22 -> 26 [size =\"49537024\"]\n  23 [size=\"40120320\", alpha=\"0.04\", expect_size=\"20060160\"] \n  23 -> 25 [size =\"20060160\"]\n  23 -> 26 [size =\"20060160\"]\n  23 -> 29 [size =\"20060160\"]\n  24 [size=\"61710336\", alpha=\"0.14\", expect_size=\"30855168\"] \n  25 [size=\"38438912\", alpha=\"0.18\", expect_size=\"19219456\"] \n  26 [size=\"12107776\", alpha=\"0.14\", expect_size=\"6053888\"] \n  27 [size=\"48275456\", alpha=\"0.18\", expect_size=\"24137728\"] \n  28 [size=\"94818304\", alpha=\"0.03\", expect_size=\"47409152\"] \n  29 [size=\"21045248\", alpha=\"0.13\", expect_size=\"10522624\"] \n  30 [size=\"34111488\", alpha=\"0.08\", expect_size=\"17055744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78868480\", alpha=\"0.08\", expect_size=\"23660544\"] \n  1 -> 2 [size =\"23660544\"]\n  2 [size=\"45649920\", alpha=\"0.06\", expect_size=\"13694976\"] \n  2 -> 3 [size =\"13694976\"]\n  3 [size=\"29767680\", alpha=\"0.07\", expect_size=\"8930304\"] \n  3 -> 4 [size =\"8930304\"]\n  4 [size=\"141120853\", alpha=\"0.16\", expect_size=\"42336256\"] \n  4 -> 5 [size =\"42336256\"]\n  5 [size=\"141059413\", alpha=\"0.06\", expect_size=\"42317824\"] \n  5 -> 6 [size =\"42317824\"]\n  6 [size=\"24869547\", alpha=\"0.15\", expect_size=\"7460864\"] \n  6 -> 7 [size =\"7460864\"]\n  7 [size=\"91409067\", alpha=\"0.19\", expect_size=\"27422720\"] \n  7 -> 8 [size =\"27422720\"]\n  8 [size=\"92695893\", alpha=\"0.11\", expect_size=\"27808768\"] \n  8 -> 9 [size =\"27808768\"]\n  9 [size=\"46738773\", alpha=\"0.18\", expect_size=\"14021632\"] \n  9 -> 10 [size =\"14021632\"]\n  10 [size=\"158088533\", alpha=\"0.02\", expect_size=\"47426560\"] \n  10 -> 11 [size =\"47426560\"]\n  11 [size=\"138321920\", alpha=\"0.10\", expect_size=\"41496576\"] \n  11 -> 12 [size =\"41496576\"]\n  12 [size=\"40673280\", alpha=\"0.10\", expect_size=\"12201984\"] \n  12 -> 13 [size =\"12201984\"]\n  13 [size=\"84370773\", alpha=\"0.12\", expect_size=\"25311232\"] \n  13 -> 14 [size =\"25311232\"]\n  14 [size=\"143213227\", alpha=\"0.11\", expect_size=\"42963968\"] \n  14 -> 15 [size =\"42963968\"]\n  15 [size=\"110506667\", alpha=\"0.14\", expect_size=\"33152000\"] \n  15 -> 16 [size =\"33152000\"]\n  16 [size=\"154152960\", alpha=\"0.16\", expect_size=\"46245888\"] \n  16 -> 17 [size =\"46245888\"]\n  17 [size=\"117568853\", alpha=\"0.14\", expect_size=\"35270656\"] \n  17 -> 18 [size =\"35270656\"]\n  18 [size=\"108789760\", alpha=\"0.00\", expect_size=\"32636928\"] \n  18 -> 19 [size =\"32636928\"]\n  19 [size=\"37918720\", alpha=\"0.16\", expect_size=\"11375616\"] \n  19 -> 20 [size =\"11375616\"]\n  20 [size=\"23889920\", alpha=\"0.04\", expect_size=\"7166976\"] \n  20 -> 21 [size =\"7166976\"]\n  21 [size=\"36150613\", alpha=\"0.19\", expect_size=\"10845184\"] \n  21 -> 22 [size =\"10845184\"]\n  22 [size=\"114824533\", alpha=\"0.19\", expect_size=\"34447360\"] \n  22 -> 23 [size =\"34447360\"]\n  23 [size=\"39516160\", alpha=\"0.19\", expect_size=\"11854848\"] \n  23 -> 24 [size =\"11854848\"]\n  24 [size=\"134789120\", alpha=\"0.16\", expect_size=\"40436736\"] \n  24 -> 25 [size =\"40436736\"]\n  25 [size=\"60777813\", alpha=\"0.08\", expect_size=\"18233344\"] \n  25 -> 26 [size =\"18233344\"]\n  26 [size=\"169519787\", alpha=\"0.01\", expect_size=\"50855936\"] \n  26 -> 27 [size =\"50855936\"]\n  27 [size=\"138311680\", alpha=\"0.03\", expect_size=\"41493504\"] \n  27 -> 28 [size =\"41493504\"]\n  28 [size=\"89924267\", alpha=\"0.15\", expect_size=\"26977280\"] \n  28 -> 29 [size =\"26977280\"]\n  29 [size=\"93300053\", alpha=\"0.11\", expect_size=\"27990016\"] \n  29 -> 30 [size =\"27990016\"]\n  30 [size=\"62010027\", alpha=\"0.05\", expect_size=\"18603008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119333547\", alpha=\"0.07\", expect_size=\"35800064\"] \n  1 -> 2 [size =\"35800064\"]\n  2 [size=\"103495680\", alpha=\"0.03\", expect_size=\"31048704\"] \n  2 -> 3 [size =\"31048704\"]\n  3 [size=\"79407787\", alpha=\"0.16\", expect_size=\"23822336\"] \n  3 -> 4 [size =\"23822336\"]\n  4 [size=\"130737493\", alpha=\"0.05\", expect_size=\"39221248\"] \n  4 -> 5 [size =\"39221248\"]\n  5 [size=\"25698987\", alpha=\"0.17\", expect_size=\"7709696\"] \n  5 -> 6 [size =\"7709696\"]\n  6 [size=\"65795413\", alpha=\"0.05\", expect_size=\"19738624\"] \n  6 -> 7 [size =\"19738624\"]\n  7 [size=\"138758827\", alpha=\"0.15\", expect_size=\"41627648\"] \n  7 -> 8 [size =\"41627648\"]\n  8 [size=\"86449493\", alpha=\"0.15\", expect_size=\"25934848\"] \n  8 -> 9 [size =\"25934848\"]\n  9 [size=\"159928320\", alpha=\"0.02\", expect_size=\"47978496\"] \n  9 -> 10 [size =\"47978496\"]\n  10 [size=\"25856000\", alpha=\"0.19\", expect_size=\"7756800\"] \n  10 -> 11 [size =\"7756800\"]\n  11 [size=\"29887147\", alpha=\"0.06\", expect_size=\"8966144\"] \n  11 -> 12 [size =\"8966144\"]\n  12 [size=\"86609920\", alpha=\"0.18\", expect_size=\"25982976\"] \n  12 -> 13 [size =\"25982976\"]\n  13 [size=\"107386880\", alpha=\"0.16\", expect_size=\"32216064\"] \n  13 -> 14 [size =\"32216064\"]\n  14 [size=\"79694507\", alpha=\"0.13\", expect_size=\"23908352\"] \n  14 -> 15 [size =\"23908352\"]\n  15 [size=\"121736533\", alpha=\"0.02\", expect_size=\"36520960\"] \n  15 -> 16 [size =\"36520960\"]\n  16 [size=\"100331520\", alpha=\"0.09\", expect_size=\"30099456\"] \n  16 -> 17 [size =\"30099456\"]\n  17 [size=\"135871147\", alpha=\"0.09\", expect_size=\"40761344\"] \n  17 -> 18 [size =\"40761344\"]\n  18 [size=\"94508373\", alpha=\"0.10\", expect_size=\"28352512\"] \n  18 -> 19 [size =\"28352512\"]\n  19 [size=\"56835413\", alpha=\"0.10\", expect_size=\"17050624\"] \n  19 -> 20 [size =\"17050624\"]\n  20 [size=\"71850667\", alpha=\"0.20\", expect_size=\"21555200\"] \n  20 -> 21 [size =\"21555200\"]\n  21 [size=\"66426880\", alpha=\"0.03\", expect_size=\"19928064\"] \n  21 -> 22 [size =\"19928064\"]\n  22 [size=\"115322880\", alpha=\"0.17\", expect_size=\"34596864\"] \n  22 -> 23 [size =\"34596864\"]\n  23 [size=\"99505493\", alpha=\"0.19\", expect_size=\"29851648\"] \n  23 -> 24 [size =\"29851648\"]\n  24 [size=\"64689493\", alpha=\"0.15\", expect_size=\"19406848\"] \n  24 -> 25 [size =\"19406848\"]\n  25 [size=\"170485760\", alpha=\"0.12\", expect_size=\"51145728\"] \n  25 -> 26 [size =\"51145728\"]\n  26 [size=\"31307093\", alpha=\"0.16\", expect_size=\"9392128\"] \n  26 -> 27 [size =\"9392128\"]\n  27 [size=\"99648853\", alpha=\"0.15\", expect_size=\"29894656\"] \n  27 -> 28 [size =\"29894656\"]\n  28 [size=\"167659520\", alpha=\"0.02\", expect_size=\"50297856\"] \n  28 -> 29 [size =\"50297856\"]\n  29 [size=\"87620267\", alpha=\"0.08\", expect_size=\"26286080\"] \n  29 -> 30 [size =\"26286080\"]\n  30 [size=\"162600960\", alpha=\"0.15\", expect_size=\"48780288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17537707\", alpha=\"0.13\", expect_size=\"5261312\"] \n  1 -> 25 [size =\"5261312\"]\n  1 -> 27 [size =\"5261312\"]\n  1 -> 30 [size =\"5261312\"]\n  2 [size=\"62071467\", alpha=\"0.06\", expect_size=\"18621440\"] \n  2 -> 27 [size =\"18621440\"]\n  3 [size=\"85326507\", alpha=\"0.19\", expect_size=\"25597952\"] \n  3 -> 27 [size =\"25597952\"]\n  3 -> 29 [size =\"25597952\"]\n  4 [size=\"119545173\", alpha=\"0.14\", expect_size=\"35863552\"] \n  4 -> 24 [size =\"35863552\"]\n  4 -> 29 [size =\"35863552\"]\n  5 [size=\"132256427\", alpha=\"0.14\", expect_size=\"39676928\"] \n  5 -> 24 [size =\"39676928\"]\n  5 -> 28 [size =\"39676928\"]\n  6 [size=\"93361493\", alpha=\"0.06\", expect_size=\"28008448\"] \n  6 -> 25 [size =\"28008448\"]\n  7 [size=\"64703147\", alpha=\"0.08\", expect_size=\"19410944\"] \n  7 -> 24 [size =\"19410944\"]\n  7 -> 25 [size =\"19410944\"]\n  7 -> 29 [size =\"19410944\"]\n  8 [size=\"126825813\", alpha=\"0.06\", expect_size=\"38047744\"] \n  8 -> 25 [size =\"38047744\"]\n  8 -> 27 [size =\"38047744\"]\n  8 -> 29 [size =\"38047744\"]\n  9 [size=\"25367893\", alpha=\"0.11\", expect_size=\"7610368\"] \n  9 -> 29 [size =\"7610368\"]\n  10 [size=\"117043200\", alpha=\"0.04\", expect_size=\"35112960\"] \n  10 -> 29 [size =\"35112960\"]\n  11 [size=\"63122773\", alpha=\"0.02\", expect_size=\"18936832\"] \n  11 -> 27 [size =\"18936832\"]\n  11 -> 29 [size =\"18936832\"]\n  12 [size=\"162959360\", alpha=\"0.12\", expect_size=\"48887808\"] \n  12 -> 27 [size =\"48887808\"]\n  12 -> 29 [size =\"48887808\"]\n  13 [size=\"49104213\", alpha=\"0.06\", expect_size=\"14731264\"] \n  13 -> 26 [size =\"14731264\"]\n  13 -> 29 [size =\"14731264\"]\n  13 -> 30 [size =\"14731264\"]\n  14 [size=\"42093227\", alpha=\"0.03\", expect_size=\"12627968\"] \n  14 -> 25 [size =\"12627968\"]\n  14 -> 27 [size =\"12627968\"]\n  14 -> 29 [size =\"12627968\"]\n  15 [size=\"150920533\", alpha=\"0.18\", expect_size=\"45276160\"] \n  16 [size=\"106158080\", alpha=\"0.09\", expect_size=\"31847424\"] \n  17 [size=\"156962133\", alpha=\"0.03\", expect_size=\"47088640\"] \n  17 -> 26 [size =\"47088640\"]\n  17 -> 29 [size =\"47088640\"]\n  18 [size=\"64948907\", alpha=\"0.10\", expect_size=\"19484672\"] \n  18 -> 25 [size =\"19484672\"]\n  18 -> 29 [size =\"19484672\"]\n  19 [size=\"108482560\", alpha=\"0.08\", expect_size=\"32544768\"] \n  19 -> 24 [size =\"32544768\"]\n  19 -> 29 [size =\"32544768\"]\n  20 [size=\"35348480\", alpha=\"0.05\", expect_size=\"10604544\"] \n  20 -> 25 [size =\"10604544\"]\n  20 -> 29 [size =\"10604544\"]\n  21 [size=\"70440960\", alpha=\"0.02\", expect_size=\"21132288\"] \n  21 -> 25 [size =\"21132288\"]\n  21 -> 26 [size =\"21132288\"]\n  22 [size=\"86449493\", alpha=\"0.05\", expect_size=\"25934848\"] \n  22 -> 24 [size =\"25934848\"]\n  22 -> 25 [size =\"25934848\"]\n  22 -> 26 [size =\"25934848\"]\n  22 -> 30 [size =\"25934848\"]\n  23 [size=\"24934400\", alpha=\"0.16\", expect_size=\"7480320\"] \n  23 -> 26 [size =\"7480320\"]\n  23 -> 27 [size =\"7480320\"]\n  24 [size=\"69963093\", alpha=\"0.01\", expect_size=\"20988928\"] \n  25 [size=\"90327040\", alpha=\"0.20\", expect_size=\"27098112\"] \n  26 [size=\"77144747\", alpha=\"0.09\", expect_size=\"23143424\"] \n  27 [size=\"151077547\", alpha=\"0.03\", expect_size=\"45323264\"] \n  28 [size=\"170929493\", alpha=\"0.12\", expect_size=\"51278848\"] \n  29 [size=\"91767467\", alpha=\"0.01\", expect_size=\"27530240\"] \n  30 [size=\"153043627\", alpha=\"0.04\", expect_size=\"45913088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85066240\", alpha=\"0.00\", expect_size=\"34026496\"] \n  1 -> 22 [size =\"34026496\"]\n  1 -> 22 [size =\"34026496\"]\n  1 -> 23 [size =\"34026496\"]\n  1 -> 24 [size =\"34026496\"]\n  1 -> 28 [size =\"34026496\"]\n  2 [size=\"99253760\", alpha=\"0.07\", expect_size=\"39701504\"] \n  2 -> 22 [size =\"39701504\"]\n  2 -> 27 [size =\"39701504\"]\n  3 [size=\"77795840\", alpha=\"0.20\", expect_size=\"31118336\"] \n  3 -> 22 [size =\"31118336\"]\n  3 -> 24 [size =\"31118336\"]\n  4 [size=\"128686080\", alpha=\"0.06\", expect_size=\"51474432\"] \n  4 -> 24 [size =\"51474432\"]\n  5 [size=\"39201280\", alpha=\"0.12\", expect_size=\"15680512\"] \n  5 -> 22 [size =\"15680512\"]\n  5 -> 24 [size =\"15680512\"]\n  5 -> 30 [size =\"15680512\"]\n  6 [size=\"74521600\", alpha=\"0.03\", expect_size=\"29808640\"] \n  6 -> 22 [size =\"29808640\"]\n  6 -> 28 [size =\"29808640\"]\n  6 -> 30 [size =\"29808640\"]\n  7 [size=\"125903360\", alpha=\"0.07\", expect_size=\"50361344\"] \n  7 -> 22 [size =\"50361344\"]\n  7 -> 24 [size =\"50361344\"]\n  7 -> 28 [size =\"50361344\"]\n  8 [size=\"66250240\", alpha=\"0.05\", expect_size=\"26500096\"] \n  8 -> 22 [size =\"26500096\"]\n  8 -> 23 [size =\"26500096\"]\n  8 -> 24 [size =\"26500096\"]\n  8 -> 27 [size =\"26500096\"]\n  8 -> 28 [size =\"26500096\"]\n  9 [size=\"129285120\", alpha=\"0.05\", expect_size=\"51714048\"] \n  9 -> 22 [size =\"51714048\"]\n  9 -> 23 [size =\"51714048\"]\n  9 -> 27 [size =\"51714048\"]\n  9 -> 28 [size =\"51714048\"]\n  9 -> 28 [size =\"51714048\"]\n  10 [size=\"104919040\", alpha=\"0.13\", expect_size=\"41967616\"] \n  10 -> 21 [size =\"41967616\"]\n  10 -> 22 [size =\"41967616\"]\n  10 -> 23 [size =\"41967616\"]\n  10 -> 24 [size =\"41967616\"]\n  10 -> 26 [size =\"41967616\"]\n  10 -> 28 [size =\"41967616\"]\n  11 [size=\"103285760\", alpha=\"0.13\", expect_size=\"41314304\"] \n  11 -> 20 [size =\"41314304\"]\n  11 -> 23 [size =\"41314304\"]\n  11 -> 23 [size =\"41314304\"]\n  11 -> 24 [size =\"41314304\"]\n  11 -> 27 [size =\"41314304\"]\n  11 -> 28 [size =\"41314304\"]\n  12 [size=\"104005120\", alpha=\"0.08\", expect_size=\"41602048\"] \n  12 -> 22 [size =\"41602048\"]\n  12 -> 24 [size =\"41602048\"]\n  13 [size=\"29696000\", alpha=\"0.15\", expect_size=\"11878400\"] \n  13 -> 22 [size =\"11878400\"]\n  13 -> 23 [size =\"11878400\"]\n  13 -> 24 [size =\"11878400\"]\n  13 -> 28 [size =\"11878400\"]\n  13 -> 29 [size =\"11878400\"]\n  14 [size=\"27207680\", alpha=\"0.18\", expect_size=\"10883072\"] \n  14 -> 24 [size =\"10883072\"]\n  14 -> 28 [size =\"10883072\"]\n  15 [size=\"62699520\", alpha=\"0.12\", expect_size=\"25079808\"] \n  15 -> 22 [size =\"25079808\"]\n  15 -> 23 [size =\"25079808\"]\n  15 -> 28 [size =\"25079808\"]\n  16 [size=\"13757440\", alpha=\"0.11\", expect_size=\"5502976\"] \n  16 -> 23 [size =\"5502976\"]\n  16 -> 23 [size =\"5502976\"]\n  16 -> 28 [size =\"5502976\"]\n  16 -> 29 [size =\"5502976\"]\n  17 [size=\"31976960\", alpha=\"0.07\", expect_size=\"12790784\"] \n  17 -> 23 [size =\"12790784\"]\n  17 -> 28 [size =\"12790784\"]\n  18 [size=\"70904320\", alpha=\"0.14\", expect_size=\"28361728\"] \n  18 -> 22 [size =\"28361728\"]\n  18 -> 23 [size =\"28361728\"]\n  18 -> 24 [size =\"28361728\"]\n  18 -> 25 [size =\"28361728\"]\n  18 -> 28 [size =\"28361728\"]\n  19 [size=\"100006400\", alpha=\"0.10\", expect_size=\"40002560\"] \n  19 -> 20 [size =\"40002560\"]\n  19 -> 22 [size =\"40002560\"]\n  19 -> 28 [size =\"40002560\"]\n  20 [size=\"127580160\", alpha=\"0.12\", expect_size=\"51032064\"] \n  21 [size=\"85288960\", alpha=\"0.06\", expect_size=\"34115584\"] \n  22 [size=\"45644800\", alpha=\"0.15\", expect_size=\"18257920\"] \n  23 [size=\"92523520\", alpha=\"0.15\", expect_size=\"37009408\"] \n  24 [size=\"62978560\", alpha=\"0.15\", expect_size=\"25191424\"] \n  25 [size=\"51407360\", alpha=\"0.19\", expect_size=\"20562944\"] \n  26 [size=\"124075520\", alpha=\"0.14\", expect_size=\"49630208\"] \n  27 [size=\"72908800\", alpha=\"0.07\", expect_size=\"29163520\"] \n  28 [size=\"113382400\", alpha=\"0.10\", expect_size=\"45352960\"] \n  29 [size=\"76541440\", alpha=\"0.12\", expect_size=\"30616576\"] \n  30 [size=\"16327680\", alpha=\"0.10\", expect_size=\"6531072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39299072\", alpha=\"0.04\", expect_size=\"19649536\"] \n  1 -> 2 [size =\"19649536\"]\n  2 [size=\"58961920\", alpha=\"0.01\", expect_size=\"29480960\"] \n  2 -> 3 [size =\"29480960\"]\n  3 [size=\"27230208\", alpha=\"0.00\", expect_size=\"13615104\"] \n  3 -> 4 [size =\"13615104\"]\n  4 [size=\"88551424\", alpha=\"0.20\", expect_size=\"44275712\"] \n  4 -> 5 [size =\"44275712\"]\n  5 [size=\"21770240\", alpha=\"0.08\", expect_size=\"10885120\"] \n  5 -> 6 [size =\"10885120\"]\n  6 [size=\"87005184\", alpha=\"0.06\", expect_size=\"43502592\"] \n  6 -> 7 [size =\"43502592\"]\n  7 [size=\"90183680\", alpha=\"0.16\", expect_size=\"45091840\"] \n  7 -> 8 [size =\"45091840\"]\n  8 [size=\"97986560\", alpha=\"0.10\", expect_size=\"48993280\"] \n  8 -> 9 [size =\"48993280\"]\n  9 [size=\"66959360\", alpha=\"0.03\", expect_size=\"33479680\"] \n  9 -> 10 [size =\"33479680\"]\n  10 [size=\"102717440\", alpha=\"0.11\", expect_size=\"51358720\"] \n  10 -> 11 [size =\"51358720\"]\n  11 [size=\"90992640\", alpha=\"0.01\", expect_size=\"45496320\"] \n  11 -> 12 [size =\"45496320\"]\n  12 [size=\"13828096\", alpha=\"0.14\", expect_size=\"6914048\"] \n  12 -> 13 [size =\"6914048\"]\n  13 [size=\"18507776\", alpha=\"0.16\", expect_size=\"9253888\"] \n  13 -> 14 [size =\"9253888\"]\n  14 [size=\"18636800\", alpha=\"0.09\", expect_size=\"9318400\"] \n  14 -> 15 [size =\"9318400\"]\n  15 [size=\"17610752\", alpha=\"0.10\", expect_size=\"8805376\"] \n  15 -> 16 [size =\"8805376\"]\n  16 [size=\"53596160\", alpha=\"0.13\", expect_size=\"26798080\"] \n  16 -> 17 [size =\"26798080\"]\n  17 [size=\"83308544\", alpha=\"0.03\", expect_size=\"41654272\"] \n  17 -> 18 [size =\"41654272\"]\n  18 [size=\"62083072\", alpha=\"0.00\", expect_size=\"31041536\"] \n  18 -> 19 [size =\"31041536\"]\n  19 [size=\"13862912\", alpha=\"0.03\", expect_size=\"6931456\"] \n  19 -> 20 [size =\"6931456\"]\n  20 [size=\"29730816\", alpha=\"0.19\", expect_size=\"14865408\"] \n  20 -> 21 [size =\"14865408\"]\n  21 [size=\"82126848\", alpha=\"0.01\", expect_size=\"41063424\"] \n  21 -> 22 [size =\"41063424\"]\n  22 [size=\"87795712\", alpha=\"0.13\", expect_size=\"43897856\"] \n  22 -> 23 [size =\"43897856\"]\n  23 [size=\"61323264\", alpha=\"0.08\", expect_size=\"30661632\"] \n  23 -> 24 [size =\"30661632\"]\n  24 [size=\"44785664\", alpha=\"0.01\", expect_size=\"22392832\"] \n  24 -> 25 [size =\"22392832\"]\n  25 [size=\"86300672\", alpha=\"0.15\", expect_size=\"43150336\"] \n  25 -> 26 [size =\"43150336\"]\n  26 [size=\"38758400\", alpha=\"0.06\", expect_size=\"19379200\"] \n  26 -> 27 [size =\"19379200\"]\n  27 [size=\"101931008\", alpha=\"0.14\", expect_size=\"50965504\"] \n  27 -> 28 [size =\"50965504\"]\n  28 [size=\"22638592\", alpha=\"0.00\", expect_size=\"11319296\"] \n  28 -> 29 [size =\"11319296\"]\n  29 [size=\"23803904\", alpha=\"0.19\", expect_size=\"11901952\"] \n  29 -> 30 [size =\"11901952\"]\n  30 [size=\"37142528\", alpha=\"0.16\", expect_size=\"18571264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76298240\", alpha=\"0.03\", expect_size=\"30519296\"] \n  1 -> 2 [size =\"30519296\"]\n  2 [size=\"54182400\", alpha=\"0.07\", expect_size=\"21672960\"] \n  2 -> 3 [size =\"21672960\"]\n  3 [size=\"66444800\", alpha=\"0.08\", expect_size=\"26577920\"] \n  3 -> 4 [size =\"26577920\"]\n  4 [size=\"96985600\", alpha=\"0.08\", expect_size=\"38794240\"] \n  4 -> 5 [size =\"38794240\"]\n  5 [size=\"110407680\", alpha=\"0.18\", expect_size=\"44163072\"] \n  5 -> 6 [size =\"44163072\"]\n  6 [size=\"71656960\", alpha=\"0.04\", expect_size=\"28662784\"] \n  6 -> 7 [size =\"28662784\"]\n  7 [size=\"19578880\", alpha=\"0.10\", expect_size=\"7831552\"] \n  7 -> 8 [size =\"7831552\"]\n  8 [size=\"104860160\", alpha=\"0.02\", expect_size=\"41944064\"] \n  8 -> 9 [size =\"41944064\"]\n  9 [size=\"94013440\", alpha=\"0.05\", expect_size=\"37605376\"] \n  9 -> 10 [size =\"37605376\"]\n  10 [size=\"128455680\", alpha=\"0.16\", expect_size=\"51382272\"] \n  10 -> 11 [size =\"51382272\"]\n  11 [size=\"68974080\", alpha=\"0.04\", expect_size=\"27589632\"] \n  11 -> 12 [size =\"27589632\"]\n  12 [size=\"83978240\", alpha=\"0.08\", expect_size=\"33591296\"] \n  12 -> 13 [size =\"33591296\"]\n  13 [size=\"126568960\", alpha=\"0.16\", expect_size=\"50627584\"] \n  13 -> 14 [size =\"50627584\"]\n  14 [size=\"55943680\", alpha=\"0.17\", expect_size=\"22377472\"] \n  14 -> 15 [size =\"22377472\"]\n  15 [size=\"103882240\", alpha=\"0.02\", expect_size=\"41552896\"] \n  15 -> 16 [size =\"41552896\"]\n  16 [size=\"92136960\", alpha=\"0.19\", expect_size=\"36854784\"] \n  16 -> 17 [size =\"36854784\"]\n  17 [size=\"115194880\", alpha=\"0.20\", expect_size=\"46077952\"] \n  17 -> 18 [size =\"46077952\"]\n  18 [size=\"53588480\", alpha=\"0.20\", expect_size=\"21435392\"] \n  18 -> 19 [size =\"21435392\"]\n  19 [size=\"64890880\", alpha=\"0.04\", expect_size=\"25956352\"] \n  19 -> 20 [size =\"25956352\"]\n  20 [size=\"92272640\", alpha=\"0.10\", expect_size=\"36909056\"] \n  20 -> 21 [size =\"36909056\"]\n  21 [size=\"69045760\", alpha=\"0.07\", expect_size=\"27618304\"] \n  21 -> 22 [size =\"27618304\"]\n  22 [size=\"93678080\", alpha=\"0.10\", expect_size=\"37471232\"] \n  22 -> 23 [size =\"37471232\"]\n  23 [size=\"24028160\", alpha=\"0.03\", expect_size=\"9611264\"] \n  23 -> 24 [size =\"9611264\"]\n  24 [size=\"115865600\", alpha=\"0.09\", expect_size=\"46346240\"] \n  24 -> 25 [size =\"46346240\"]\n  25 [size=\"95452160\", alpha=\"0.13\", expect_size=\"38180864\"] \n  25 -> 26 [size =\"38180864\"]\n  26 [size=\"109544960\", alpha=\"0.06\", expect_size=\"43817984\"] \n  26 -> 27 [size =\"43817984\"]\n  27 [size=\"103452160\", alpha=\"0.00\", expect_size=\"41380864\"] \n  27 -> 28 [size =\"41380864\"]\n  28 [size=\"101204480\", alpha=\"0.10\", expect_size=\"40481792\"] \n  28 -> 29 [size =\"40481792\"]\n  29 [size=\"99333120\", alpha=\"0.13\", expect_size=\"39733248\"] \n  29 -> 30 [size =\"39733248\"]\n  30 [size=\"125588480\", alpha=\"0.16\", expect_size=\"50235392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165058560\", alpha=\"0.11\", expect_size=\"49517568\"] \n  1 -> 14 [size =\"49517568\"]\n  1 -> 18 [size =\"49517568\"]\n  1 -> 23 [size =\"49517568\"]\n  1 -> 24 [size =\"49517568\"]\n  2 [size=\"158064640\", alpha=\"0.18\", expect_size=\"47419392\"] \n  2 -> 13 [size =\"47419392\"]\n  2 -> 15 [size =\"47419392\"]\n  2 -> 16 [size =\"47419392\"]\n  2 -> 18 [size =\"47419392\"]\n  2 -> 22 [size =\"47419392\"]\n  2 -> 23 [size =\"47419392\"]\n  3 [size=\"73028267\", alpha=\"0.19\", expect_size=\"21908480\"] \n  3 -> 13 [size =\"21908480\"]\n  3 -> 14 [size =\"21908480\"]\n  3 -> 16 [size =\"21908480\"]\n  3 -> 18 [size =\"21908480\"]\n  3 -> 19 [size =\"21908480\"]\n  3 -> 23 [size =\"21908480\"]\n  4 [size=\"25637547\", alpha=\"0.13\", expect_size=\"7691264\"] \n  4 -> 13 [size =\"7691264\"]\n  4 -> 14 [size =\"7691264\"]\n  4 -> 15 [size =\"7691264\"]\n  4 -> 16 [size =\"7691264\"]\n  4 -> 18 [size =\"7691264\"]\n  4 -> 22 [size =\"7691264\"]\n  4 -> 24 [size =\"7691264\"]\n  5 [size=\"168779093\", alpha=\"0.02\", expect_size=\"50633728\"] \n  5 -> 12 [size =\"50633728\"]\n  5 -> 13 [size =\"50633728\"]\n  5 -> 16 [size =\"50633728\"]\n  5 -> 18 [size =\"50633728\"]\n  5 -> 20 [size =\"50633728\"]\n  5 -> 24 [size =\"50633728\"]\n  6 [size=\"32884053\", alpha=\"0.18\", expect_size=\"9865216\"] \n  6 -> 13 [size =\"9865216\"]\n  6 -> 16 [size =\"9865216\"]\n  6 -> 18 [size =\"9865216\"]\n  6 -> 19 [size =\"9865216\"]\n  6 -> 22 [size =\"9865216\"]\n  7 [size=\"110059520\", alpha=\"0.03\", expect_size=\"33017856\"] \n  7 -> 13 [size =\"33017856\"]\n  7 -> 14 [size =\"33017856\"]\n  7 -> 16 [size =\"33017856\"]\n  7 -> 17 [size =\"33017856\"]\n  7 -> 19 [size =\"33017856\"]\n  7 -> 20 [size =\"33017856\"]\n  8 [size=\"49902933\", alpha=\"0.05\", expect_size=\"14970880\"] \n  8 -> 14 [size =\"14970880\"]\n  8 -> 15 [size =\"14970880\"]\n  8 -> 17 [size =\"14970880\"]\n  8 -> 19 [size =\"14970880\"]\n  8 -> 21 [size =\"14970880\"]\n  8 -> 22 [size =\"14970880\"]\n  8 -> 23 [size =\"14970880\"]\n  9 [size=\"167847253\", alpha=\"0.03\", expect_size=\"50354176\"] \n  9 -> 11 [size =\"50354176\"]\n  9 -> 12 [size =\"50354176\"]\n  9 -> 14 [size =\"50354176\"]\n  9 -> 16 [size =\"50354176\"]\n  9 -> 21 [size =\"50354176\"]\n  9 -> 22 [size =\"50354176\"]\n  10 [size=\"62368427\", alpha=\"0.02\", expect_size=\"18710528\"] \n  10 -> 11 [size =\"18710528\"]\n  10 -> 12 [size =\"18710528\"]\n  10 -> 13 [size =\"18710528\"]\n  10 -> 14 [size =\"18710528\"]\n  10 -> 15 [size =\"18710528\"]\n  10 -> 18 [size =\"18710528\"]\n  10 -> 24 [size =\"18710528\"]\n  11 [size=\"128709973\", alpha=\"0.04\", expect_size=\"38612992\"] \n  11 -> 25 [size =\"38612992\"]\n  11 -> 26 [size =\"38612992\"]\n  11 -> 28 [size =\"38612992\"]\n  11 -> 30 [size =\"38612992\"]\n  12 [size=\"58002773\", alpha=\"0.17\", expect_size=\"17400832\"] \n  12 -> 25 [size =\"17400832\"]\n  12 -> 26 [size =\"17400832\"]\n  12 -> 28 [size =\"17400832\"]\n  12 -> 30 [size =\"17400832\"]\n  13 [size=\"38475093\", alpha=\"0.08\", expect_size=\"11542528\"] \n  13 -> 28 [size =\"11542528\"]\n  14 [size=\"29808640\", alpha=\"0.20\", expect_size=\"8942592\"] \n  14 -> 25 [size =\"8942592\"]\n  14 -> 26 [size =\"8942592\"]\n  14 -> 28 [size =\"8942592\"]\n  15 [size=\"134188373\", alpha=\"0.03\", expect_size=\"40256512\"] \n  15 -> 25 [size =\"40256512\"]\n  15 -> 29 [size =\"40256512\"]\n  15 -> 30 [size =\"40256512\"]\n  16 [size=\"149585920\", alpha=\"0.15\", expect_size=\"44875776\"] \n  16 -> 26 [size =\"44875776\"]\n  17 [size=\"130829653\", alpha=\"0.06\", expect_size=\"39248896\"] \n  17 -> 25 [size =\"39248896\"]\n  17 -> 26 [size =\"39248896\"]\n  17 -> 28 [size =\"39248896\"]\n  18 [size=\"156948480\", alpha=\"0.08\", expect_size=\"47084544\"] \n  18 -> 26 [size =\"47084544\"]\n  18 -> 26 [size =\"47084544\"]\n  18 -> 28 [size =\"47084544\"]\n  18 -> 30 [size =\"47084544\"]\n  19 [size=\"35901440\", alpha=\"0.14\", expect_size=\"10770432\"] \n  19 -> 25 [size =\"10770432\"]\n  19 -> 26 [size =\"10770432\"]\n  20 [size=\"58873173\", alpha=\"0.10\", expect_size=\"17661952\"] \n  20 -> 27 [size =\"17661952\"]\n  20 -> 28 [size =\"17661952\"]\n  21 [size=\"75847680\", alpha=\"0.06\", expect_size=\"22754304\"] \n  21 -> 25 [size =\"22754304\"]\n  21 -> 26 [size =\"22754304\"]\n  21 -> 27 [size =\"22754304\"]\n  21 -> 28 [size =\"22754304\"]\n  22 [size=\"109639680\", alpha=\"0.19\", expect_size=\"32891904\"] \n  22 -> 25 [size =\"32891904\"]\n  22 -> 29 [size =\"32891904\"]\n  23 [size=\"86200320\", alpha=\"0.19\", expect_size=\"25860096\"] \n  23 -> 28 [size =\"25860096\"]\n  24 [size=\"146237440\", alpha=\"0.00\", expect_size=\"43871232\"] \n  24 -> 25 [size =\"43871232\"]\n  24 -> 27 [size =\"43871232\"]\n  24 -> 28 [size =\"43871232\"]\n  24 -> 29 [size =\"43871232\"]\n  25 [size=\"144220160\", alpha=\"0.01\", expect_size=\"43266048\"] \n  26 [size=\"168519680\", alpha=\"0.03\", expect_size=\"50555904\"] \n  27 [size=\"132495360\", alpha=\"0.18\", expect_size=\"39748608\"] \n  28 [size=\"23470080\", alpha=\"0.16\", expect_size=\"7041024\"] \n  29 [size=\"88886613\", alpha=\"0.13\", expect_size=\"26665984\"] \n  30 [size=\"39864320\", alpha=\"0.17\", expect_size=\"11959296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59289600\", alpha=\"0.01\", expect_size=\"29644800\"] \n  1 -> 2 [size =\"29644800\"]\n  2 [size=\"61755392\", alpha=\"0.11\", expect_size=\"30877696\"] \n  2 -> 3 [size =\"30877696\"]\n  3 [size=\"60893184\", alpha=\"0.05\", expect_size=\"30446592\"] \n  3 -> 4 [size =\"30446592\"]\n  4 [size=\"59494400\", alpha=\"0.06\", expect_size=\"29747200\"] \n  4 -> 5 [size =\"29747200\"]\n  5 [size=\"84654080\", alpha=\"0.00\", expect_size=\"42327040\"] \n  5 -> 6 [size =\"42327040\"]\n  6 [size=\"98265088\", alpha=\"0.01\", expect_size=\"49132544\"] \n  6 -> 7 [size =\"49132544\"]\n  7 [size=\"62711808\", alpha=\"0.10\", expect_size=\"31355904\"] \n  7 -> 8 [size =\"31355904\"]\n  8 [size=\"17565696\", alpha=\"0.18\", expect_size=\"8782848\"] \n  8 -> 9 [size =\"8782848\"]\n  9 [size=\"102848512\", alpha=\"0.10\", expect_size=\"51424256\"] \n  9 -> 10 [size =\"51424256\"]\n  10 [size=\"69302272\", alpha=\"0.09\", expect_size=\"34651136\"] \n  10 -> 11 [size =\"34651136\"]\n  11 [size=\"94541824\", alpha=\"0.04\", expect_size=\"47270912\"] \n  11 -> 12 [size =\"47270912\"]\n  12 [size=\"99688448\", alpha=\"0.20\", expect_size=\"49844224\"] \n  12 -> 13 [size =\"49844224\"]\n  13 [size=\"55197696\", alpha=\"0.08\", expect_size=\"27598848\"] \n  13 -> 14 [size =\"27598848\"]\n  14 [size=\"79155200\", alpha=\"0.17\", expect_size=\"39577600\"] \n  14 -> 15 [size =\"39577600\"]\n  15 [size=\"13348864\", alpha=\"0.03\", expect_size=\"6674432\"] \n  15 -> 16 [size =\"6674432\"]\n  16 [size=\"14383104\", alpha=\"0.17\", expect_size=\"7191552\"] \n  16 -> 17 [size =\"7191552\"]\n  17 [size=\"18251776\", alpha=\"0.11\", expect_size=\"9125888\"] \n  17 -> 18 [size =\"9125888\"]\n  18 [size=\"63641600\", alpha=\"0.08\", expect_size=\"31820800\"] \n  18 -> 19 [size =\"31820800\"]\n  19 [size=\"56342528\", alpha=\"0.19\", expect_size=\"28171264\"] \n  19 -> 20 [size =\"28171264\"]\n  20 [size=\"102682624\", alpha=\"0.16\", expect_size=\"51341312\"] \n  20 -> 21 [size =\"51341312\"]\n  21 [size=\"50759680\", alpha=\"0.05\", expect_size=\"25379840\"] \n  21 -> 22 [size =\"25379840\"]\n  22 [size=\"67751936\", alpha=\"0.03\", expect_size=\"33875968\"] \n  22 -> 23 [size =\"33875968\"]\n  23 [size=\"66768896\", alpha=\"0.13\", expect_size=\"33384448\"] \n  23 -> 24 [size =\"33384448\"]\n  24 [size=\"11646976\", alpha=\"0.13\", expect_size=\"5823488\"] \n  24 -> 25 [size =\"5823488\"]\n  25 [size=\"93341696\", alpha=\"0.09\", expect_size=\"46670848\"] \n  25 -> 26 [size =\"46670848\"]\n  26 [size=\"15101952\", alpha=\"0.03\", expect_size=\"7550976\"] \n  26 -> 27 [size =\"7550976\"]\n  27 [size=\"96122880\", alpha=\"0.08\", expect_size=\"48061440\"] \n  27 -> 28 [size =\"48061440\"]\n  28 [size=\"51906560\", alpha=\"0.15\", expect_size=\"25953280\"] \n  28 -> 29 [size =\"25953280\"]\n  29 [size=\"89890816\", alpha=\"0.02\", expect_size=\"44945408\"] \n  29 -> 30 [size =\"44945408\"]\n  30 [size=\"84189184\", alpha=\"0.00\", expect_size=\"42094592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51767296\", alpha=\"0.16\", expect_size=\"25883648\"] \n  1 -> 25 [size =\"25883648\"]\n  1 -> 26 [size =\"25883648\"]\n  1 -> 30 [size =\"25883648\"]\n  2 [size=\"25323520\", alpha=\"0.02\", expect_size=\"12661760\"] \n  2 -> 24 [size =\"12661760\"]\n  2 -> 25 [size =\"12661760\"]\n  2 -> 26 [size =\"12661760\"]\n  2 -> 29 [size =\"12661760\"]\n  3 [size=\"96010240\", alpha=\"0.12\", expect_size=\"48005120\"] \n  3 -> 24 [size =\"48005120\"]\n  3 -> 25 [size =\"48005120\"]\n  3 -> 26 [size =\"48005120\"]\n  3 -> 29 [size =\"48005120\"]\n  4 [size=\"81991680\", alpha=\"0.17\", expect_size=\"40995840\"] \n  4 -> 25 [size =\"40995840\"]\n  5 [size=\"69507072\", alpha=\"0.12\", expect_size=\"34753536\"] \n  6 [size=\"50460672\", alpha=\"0.09\", expect_size=\"25230336\"] \n  6 -> 23 [size =\"25230336\"]\n  7 [size=\"81041408\", alpha=\"0.11\", expect_size=\"40520704\"] \n  7 -> 29 [size =\"40520704\"]\n  8 [size=\"60284928\", alpha=\"0.00\", expect_size=\"30142464\"] \n  8 -> 26 [size =\"30142464\"]\n  8 -> 30 [size =\"30142464\"]\n  9 [size=\"84713472\", alpha=\"0.05\", expect_size=\"42356736\"] \n  9 -> 23 [size =\"42356736\"]\n  9 -> 24 [size =\"42356736\"]\n  9 -> 25 [size =\"42356736\"]\n  9 -> 26 [size =\"42356736\"]\n  10 [size=\"31641600\", alpha=\"0.02\", expect_size=\"15820800\"] \n  10 -> 23 [size =\"15820800\"]\n  10 -> 25 [size =\"15820800\"]\n  10 -> 26 [size =\"15820800\"]\n  10 -> 28 [size =\"15820800\"]\n  11 [size=\"34416640\", alpha=\"0.13\", expect_size=\"17208320\"] \n  12 [size=\"13645824\", alpha=\"0.07\", expect_size=\"6822912\"] \n  12 -> 24 [size =\"6822912\"]\n  12 -> 25 [size =\"6822912\"]\n  12 -> 26 [size =\"6822912\"]\n  13 [size=\"24496128\", alpha=\"0.13\", expect_size=\"12248064\"] \n  13 -> 23 [size =\"12248064\"]\n  13 -> 24 [size =\"12248064\"]\n  13 -> 25 [size =\"12248064\"]\n  13 -> 29 [size =\"12248064\"]\n  14 [size=\"79509504\", alpha=\"0.14\", expect_size=\"39754752\"] \n  15 [size=\"67295232\", alpha=\"0.20\", expect_size=\"33647616\"] \n  15 -> 25 [size =\"33647616\"]\n  16 [size=\"27985920\", alpha=\"0.11\", expect_size=\"13992960\"] \n  16 -> 26 [size =\"13992960\"]\n  16 -> 29 [size =\"13992960\"]\n  17 [size=\"69136384\", alpha=\"0.14\", expect_size=\"34568192\"] \n  17 -> 24 [size =\"34568192\"]\n  17 -> 26 [size =\"34568192\"]\n  17 -> 27 [size =\"34568192\"]\n  17 -> 29 [size =\"34568192\"]\n  17 -> 30 [size =\"34568192\"]\n  18 [size=\"27906048\", alpha=\"0.11\", expect_size=\"13953024\"] \n  18 -> 23 [size =\"13953024\"]\n  18 -> 24 [size =\"13953024\"]\n  18 -> 25 [size =\"13953024\"]\n  18 -> 26 [size =\"13953024\"]\n  19 [size=\"29992960\", alpha=\"0.00\", expect_size=\"14996480\"] \n  19 -> 23 [size =\"14996480\"]\n  19 -> 24 [size =\"14996480\"]\n  20 [size=\"54112256\", alpha=\"0.18\", expect_size=\"27056128\"] \n  21 [size=\"64135168\", alpha=\"0.04\", expect_size=\"32067584\"] \n  21 -> 24 [size =\"32067584\"]\n  21 -> 25 [size =\"32067584\"]\n  21 -> 26 [size =\"32067584\"]\n  22 [size=\"31160320\", alpha=\"0.14\", expect_size=\"15580160\"] \n  23 [size=\"64763904\", alpha=\"0.02\", expect_size=\"32381952\"] \n  24 [size=\"30816256\", alpha=\"0.04\", expect_size=\"15408128\"] \n  25 [size=\"97601536\", alpha=\"0.20\", expect_size=\"48800768\"] \n  26 [size=\"95543296\", alpha=\"0.04\", expect_size=\"47771648\"] \n  27 [size=\"53493760\", alpha=\"0.03\", expect_size=\"26746880\"] \n  28 [size=\"23134208\", alpha=\"0.12\", expect_size=\"11567104\"] \n  29 [size=\"74907648\", alpha=\"0.17\", expect_size=\"37453824\"] \n  30 [size=\"74960896\", alpha=\"0.07\", expect_size=\"37480448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88631296\", alpha=\"0.10\", expect_size=\"44315648\"] \n  1 -> 3 [size =\"44315648\"]\n  1 -> 4 [size =\"44315648\"]\n  2 [size=\"83556352\", alpha=\"0.12\", expect_size=\"41778176\"] \n  2 -> 3 [size =\"41778176\"]\n  2 -> 4 [size =\"41778176\"]\n  3 [size=\"31027200\", alpha=\"0.09\", expect_size=\"15513600\"] \n  3 -> 5 [size =\"15513600\"]\n  3 -> 6 [size =\"15513600\"]\n  4 [size=\"89001984\", alpha=\"0.03\", expect_size=\"44500992\"] \n  4 -> 5 [size =\"44500992\"]\n  4 -> 6 [size =\"44500992\"]\n  5 [size=\"55552000\", alpha=\"0.03\", expect_size=\"27776000\"] \n  5 -> 7 [size =\"27776000\"]\n  6 [size=\"59115520\", alpha=\"0.09\", expect_size=\"29557760\"] \n  6 -> 7 [size =\"29557760\"]\n  7 [size=\"23736320\", alpha=\"0.11\", expect_size=\"11868160\"] \n  7 -> 8 [size =\"11868160\"]\n  8 [size=\"14462976\", alpha=\"0.03\", expect_size=\"7231488\"] \n  8 -> 9 [size =\"7231488\"]\n  9 [size=\"22745088\", alpha=\"0.09\", expect_size=\"11372544\"] \n  9 -> 10 [size =\"11372544\"]\n  10 [size=\"20469760\", alpha=\"0.00\", expect_size=\"10234880\"] \n  10 -> 11 [size =\"10234880\"]\n  11 [size=\"23435264\", alpha=\"0.07\", expect_size=\"11717632\"] \n  11 -> 12 [size =\"11717632\"]\n  11 -> 13 [size =\"11717632\"]\n  12 [size=\"71127040\", alpha=\"0.16\", expect_size=\"35563520\"] \n  12 -> 14 [size =\"35563520\"]\n  13 [size=\"35010560\", alpha=\"0.08\", expect_size=\"17505280\"] \n  13 -> 14 [size =\"17505280\"]\n  14 [size=\"79290368\", alpha=\"0.16\", expect_size=\"39645184\"] \n  14 -> 15 [size =\"39645184\"]\n  15 [size=\"93288448\", alpha=\"0.10\", expect_size=\"46644224\"] \n  15 -> 16 [size =\"46644224\"]\n  15 -> 17 [size =\"46644224\"]\n  16 [size=\"14112768\", alpha=\"0.07\", expect_size=\"7056384\"] \n  17 [size=\"56748032\", alpha=\"0.06\", expect_size=\"28374016\"] \n  17 -> 18 [size =\"28374016\"]\n  18 [size=\"15896576\", alpha=\"0.09\", expect_size=\"7948288\"] \n  18 -> 19 [size =\"7948288\"]\n  18 -> 20 [size =\"7948288\"]\n  19 [size=\"28909568\", alpha=\"0.03\", expect_size=\"14454784\"] \n  19 -> 21 [size =\"14454784\"]\n  20 [size=\"70348800\", alpha=\"0.04\", expect_size=\"35174400\"] \n  20 -> 21 [size =\"35174400\"]\n  21 [size=\"71452672\", alpha=\"0.02\", expect_size=\"35726336\"] \n  21 -> 22 [size =\"35726336\"]\n  21 -> 23 [size =\"35726336\"]\n  22 [size=\"12249088\", alpha=\"0.15\", expect_size=\"6124544\"] \n  22 -> 24 [size =\"6124544\"]\n  23 [size=\"87316480\", alpha=\"0.13\", expect_size=\"43658240\"] \n  23 -> 24 [size =\"43658240\"]\n  24 [size=\"30769152\", alpha=\"0.07\", expect_size=\"15384576\"] \n  24 -> 25 [size =\"15384576\"]\n  24 -> 26 [size =\"15384576\"]\n  25 [size=\"10541056\", alpha=\"0.11\", expect_size=\"5270528\"] \n  26 [size=\"56774656\", alpha=\"0.05\", expect_size=\"28387328\"] \n  26 -> 27 [size =\"28387328\"]\n  27 [size=\"88600576\", alpha=\"0.02\", expect_size=\"44300288\"] \n  27 -> 28 [size =\"44300288\"]\n  27 -> 29 [size =\"44300288\"]\n  28 [size=\"22542336\", alpha=\"0.00\", expect_size=\"11271168\"] \n  28 -> 30 [size =\"11271168\"]\n  29 [size=\"62816256\", alpha=\"0.01\", expect_size=\"31408128\"] \n  30 [size=\"77215744\", alpha=\"0.03\", expect_size=\"38607872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75792384\", alpha=\"0.15\", expect_size=\"37896192\"] \n  1 -> 13 [size =\"37896192\"]\n  1 -> 18 [size =\"37896192\"]\n  1 -> 19 [size =\"37896192\"]\n  1 -> 21 [size =\"37896192\"]\n  2 [size=\"18327552\", alpha=\"0.04\", expect_size=\"9163776\"] \n  2 -> 14 [size =\"9163776\"]\n  2 -> 15 [size =\"9163776\"]\n  2 -> 18 [size =\"9163776\"]\n  2 -> 20 [size =\"9163776\"]\n  3 [size=\"12728320\", alpha=\"0.12\", expect_size=\"6364160\"] \n  3 -> 13 [size =\"6364160\"]\n  3 -> 18 [size =\"6364160\"]\n  3 -> 18 [size =\"6364160\"]\n  3 -> 19 [size =\"6364160\"]\n  3 -> 21 [size =\"6364160\"]\n  4 [size=\"88666112\", alpha=\"0.14\", expect_size=\"44333056\"] \n  4 -> 13 [size =\"44333056\"]\n  4 -> 15 [size =\"44333056\"]\n  4 -> 16 [size =\"44333056\"]\n  4 -> 18 [size =\"44333056\"]\n  4 -> 21 [size =\"44333056\"]\n  5 [size=\"94324736\", alpha=\"0.12\", expect_size=\"47162368\"] \n  5 -> 13 [size =\"47162368\"]\n  5 -> 15 [size =\"47162368\"]\n  5 -> 16 [size =\"47162368\"]\n  5 -> 18 [size =\"47162368\"]\n  5 -> 21 [size =\"47162368\"]\n  6 [size=\"62457856\", alpha=\"0.01\", expect_size=\"31228928\"] \n  6 -> 13 [size =\"31228928\"]\n  6 -> 14 [size =\"31228928\"]\n  6 -> 15 [size =\"31228928\"]\n  6 -> 18 [size =\"31228928\"]\n  6 -> 19 [size =\"31228928\"]\n  7 [size=\"31346688\", alpha=\"0.07\", expect_size=\"15673344\"] \n  7 -> 13 [size =\"15673344\"]\n  7 -> 15 [size =\"15673344\"]\n  7 -> 16 [size =\"15673344\"]\n  7 -> 18 [size =\"15673344\"]\n  7 -> 19 [size =\"15673344\"]\n  7 -> 21 [size =\"15673344\"]\n  8 [size=\"75390976\", alpha=\"0.02\", expect_size=\"37695488\"] \n  8 -> 13 [size =\"37695488\"]\n  8 -> 15 [size =\"37695488\"]\n  8 -> 16 [size =\"37695488\"]\n  8 -> 18 [size =\"37695488\"]\n  8 -> 21 [size =\"37695488\"]\n  9 [size=\"40275968\", alpha=\"0.08\", expect_size=\"20137984\"] \n  9 -> 13 [size =\"20137984\"]\n  9 -> 14 [size =\"20137984\"]\n  9 -> 18 [size =\"20137984\"]\n  9 -> 19 [size =\"20137984\"]\n  10 [size=\"75485184\", alpha=\"0.15\", expect_size=\"37742592\"] \n  10 -> 13 [size =\"37742592\"]\n  10 -> 16 [size =\"37742592\"]\n  10 -> 19 [size =\"37742592\"]\n  11 [size=\"72611840\", alpha=\"0.02\", expect_size=\"36305920\"] \n  11 -> 13 [size =\"36305920\"]\n  11 -> 14 [size =\"36305920\"]\n  11 -> 17 [size =\"36305920\"]\n  11 -> 18 [size =\"36305920\"]\n  12 [size=\"46796800\", alpha=\"0.03\", expect_size=\"23398400\"] \n  12 -> 13 [size =\"23398400\"]\n  12 -> 14 [size =\"23398400\"]\n  12 -> 21 [size =\"23398400\"]\n  13 [size=\"67764224\", alpha=\"0.17\", expect_size=\"33882112\"] \n  13 -> 22 [size =\"33882112\"]\n  13 -> 23 [size =\"33882112\"]\n  13 -> 24 [size =\"33882112\"]\n  13 -> 25 [size =\"33882112\"]\n  13 -> 27 [size =\"33882112\"]\n  14 [size=\"31277056\", alpha=\"0.14\", expect_size=\"15638528\"] \n  14 -> 23 [size =\"15638528\"]\n  14 -> 24 [size =\"15638528\"]\n  14 -> 24 [size =\"15638528\"]\n  14 -> 25 [size =\"15638528\"]\n  14 -> 26 [size =\"15638528\"]\n  14 -> 30 [size =\"15638528\"]\n  15 [size=\"99377152\", alpha=\"0.14\", expect_size=\"49688576\"] \n  15 -> 24 [size =\"49688576\"]\n  15 -> 25 [size =\"49688576\"]\n  15 -> 26 [size =\"49688576\"]\n  15 -> 28 [size =\"49688576\"]\n  15 -> 30 [size =\"49688576\"]\n  15 -> 30 [size =\"49688576\"]\n  16 [size=\"59582464\", alpha=\"0.10\", expect_size=\"29791232\"] \n  16 -> 23 [size =\"29791232\"]\n  16 -> 25 [size =\"29791232\"]\n  16 -> 26 [size =\"29791232\"]\n  17 [size=\"65929216\", alpha=\"0.12\", expect_size=\"32964608\"] \n  17 -> 23 [size =\"32964608\"]\n  17 -> 26 [size =\"32964608\"]\n  17 -> 26 [size =\"32964608\"]\n  17 -> 28 [size =\"32964608\"]\n  17 -> 30 [size =\"32964608\"]\n  18 [size=\"99430400\", alpha=\"0.06\", expect_size=\"49715200\"] \n  18 -> 23 [size =\"49715200\"]\n  18 -> 25 [size =\"49715200\"]\n  19 [size=\"15423488\", alpha=\"0.16\", expect_size=\"7711744\"] \n  19 -> 22 [size =\"7711744\"]\n  19 -> 23 [size =\"7711744\"]\n  19 -> 25 [size =\"7711744\"]\n  19 -> 26 [size =\"7711744\"]\n  19 -> 30 [size =\"7711744\"]\n  20 [size=\"55156736\", alpha=\"0.03\", expect_size=\"27578368\"] \n  20 -> 24 [size =\"27578368\"]\n  20 -> 25 [size =\"27578368\"]\n  21 [size=\"32956416\", alpha=\"0.04\", expect_size=\"16478208\"] \n  21 -> 24 [size =\"16478208\"]\n  21 -> 25 [size =\"16478208\"]\n  21 -> 27 [size =\"16478208\"]\n  21 -> 29 [size =\"16478208\"]\n  21 -> 30 [size =\"16478208\"]\n  22 [size=\"42291200\", alpha=\"0.07\", expect_size=\"21145600\"] \n  23 [size=\"57131008\", alpha=\"0.11\", expect_size=\"28565504\"] \n  24 [size=\"43591680\", alpha=\"0.11\", expect_size=\"21795840\"] \n  25 [size=\"17324032\", alpha=\"0.08\", expect_size=\"8662016\"] \n  26 [size=\"83984384\", alpha=\"0.17\", expect_size=\"41992192\"] \n  27 [size=\"36575232\", alpha=\"0.10\", expect_size=\"18287616\"] \n  28 [size=\"95313920\", alpha=\"0.17\", expect_size=\"47656960\"] \n  29 [size=\"28952576\", alpha=\"0.11\", expect_size=\"14476288\"] \n  30 [size=\"102176768\", alpha=\"0.18\", expect_size=\"51088384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101369856\", alpha=\"0.09\", expect_size=\"50684928\"] \n  1 -> 2 [size =\"50684928\"]\n  2 [size=\"43835392\", alpha=\"0.06\", expect_size=\"21917696\"] \n  2 -> 3 [size =\"21917696\"]\n  3 [size=\"45819904\", alpha=\"0.13\", expect_size=\"22909952\"] \n  3 -> 4 [size =\"22909952\"]\n  4 [size=\"79147008\", alpha=\"0.14\", expect_size=\"39573504\"] \n  4 -> 5 [size =\"39573504\"]\n  5 [size=\"10991616\", alpha=\"0.08\", expect_size=\"5495808\"] \n  5 -> 6 [size =\"5495808\"]\n  5 -> 7 [size =\"5495808\"]\n  6 [size=\"32120832\", alpha=\"0.19\", expect_size=\"16060416\"] \n  6 -> 8 [size =\"16060416\"]\n  7 [size=\"66717696\", alpha=\"0.07\", expect_size=\"33358848\"] \n  8 [size=\"101103616\", alpha=\"0.08\", expect_size=\"50551808\"] \n  8 -> 9 [size =\"50551808\"]\n  8 -> 10 [size =\"50551808\"]\n  9 [size=\"98619392\", alpha=\"0.03\", expect_size=\"49309696\"] \n  10 [size=\"43149312\", alpha=\"0.08\", expect_size=\"21574656\"] \n  10 -> 11 [size =\"21574656\"]\n  10 -> 12 [size =\"21574656\"]\n  11 [size=\"18077696\", alpha=\"0.10\", expect_size=\"9038848\"] \n  11 -> 13 [size =\"9038848\"]\n  12 [size=\"61032448\", alpha=\"0.15\", expect_size=\"30516224\"] \n  13 [size=\"88809472\", alpha=\"0.03\", expect_size=\"44404736\"] \n  13 -> 14 [size =\"44404736\"]\n  13 -> 15 [size =\"44404736\"]\n  14 [size=\"57466880\", alpha=\"0.19\", expect_size=\"28733440\"] \n  15 [size=\"30889984\", alpha=\"0.01\", expect_size=\"15444992\"] \n  15 -> 16 [size =\"15444992\"]\n  16 [size=\"70051840\", alpha=\"0.17\", expect_size=\"35025920\"] \n  16 -> 17 [size =\"35025920\"]\n  17 [size=\"65542144\", alpha=\"0.06\", expect_size=\"32771072\"] \n  17 -> 18 [size =\"32771072\"]\n  18 [size=\"97103872\", alpha=\"0.19\", expect_size=\"48551936\"] \n  18 -> 19 [size =\"48551936\"]\n  19 [size=\"39610368\", alpha=\"0.19\", expect_size=\"19805184\"] \n  19 -> 20 [size =\"19805184\"]\n  19 -> 21 [size =\"19805184\"]\n  20 [size=\"53960704\", alpha=\"0.10\", expect_size=\"26980352\"] \n  20 -> 22 [size =\"26980352\"]\n  21 [size=\"90935296\", alpha=\"0.01\", expect_size=\"45467648\"] \n  22 [size=\"43763712\", alpha=\"0.18\", expect_size=\"21881856\"] \n  22 -> 23 [size =\"21881856\"]\n  22 -> 24 [size =\"21881856\"]\n  23 [size=\"18706432\", alpha=\"0.03\", expect_size=\"9353216\"] \n  23 -> 25 [size =\"9353216\"]\n  24 [size=\"31055872\", alpha=\"0.02\", expect_size=\"15527936\"] \n  25 [size=\"25681920\", alpha=\"0.02\", expect_size=\"12840960\"] \n  25 -> 26 [size =\"12840960\"]\n  25 -> 27 [size =\"12840960\"]\n  26 [size=\"32024576\", alpha=\"0.06\", expect_size=\"16012288\"] \n  27 [size=\"19183616\", alpha=\"0.02\", expect_size=\"9591808\"] \n  27 -> 28 [size =\"9591808\"]\n  28 [size=\"47556608\", alpha=\"0.17\", expect_size=\"23778304\"] \n  28 -> 29 [size =\"23778304\"]\n  28 -> 30 [size =\"23778304\"]\n  29 [size=\"43704320\", alpha=\"0.11\", expect_size=\"21852160\"] \n  30 [size=\"39827456\", alpha=\"0.12\", expect_size=\"19913728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62699520\", alpha=\"0.03\", expect_size=\"25079808\"] \n  2 [size=\"66055680\", alpha=\"0.03\", expect_size=\"26422272\"] \n  2 -> 15 [size =\"26422272\"]\n  2 -> 20 [size =\"26422272\"]\n  3 [size=\"17763840\", alpha=\"0.04\", expect_size=\"7105536\"] \n  3 -> 11 [size =\"7105536\"]\n  3 -> 15 [size =\"7105536\"]\n  4 [size=\"33313280\", alpha=\"0.11\", expect_size=\"13325312\"] \n  4 -> 15 [size =\"13325312\"]\n  5 [size=\"119052800\", alpha=\"0.16\", expect_size=\"47621120\"] \n  5 -> 16 [size =\"47621120\"]\n  6 [size=\"108065280\", alpha=\"0.18\", expect_size=\"43226112\"] \n  6 -> 16 [size =\"43226112\"]\n  6 -> 19 [size =\"43226112\"]\n  6 -> 20 [size =\"43226112\"]\n  7 [size=\"54443520\", alpha=\"0.07\", expect_size=\"21777408\"] \n  7 -> 13 [size =\"21777408\"]\n  7 -> 14 [size =\"21777408\"]\n  7 -> 18 [size =\"21777408\"]\n  7 -> 19 [size =\"21777408\"]\n  8 [size=\"63065600\", alpha=\"0.03\", expect_size=\"25226240\"] \n  8 -> 12 [size =\"25226240\"]\n  8 -> 14 [size =\"25226240\"]\n  9 [size=\"36259840\", alpha=\"0.11\", expect_size=\"14503936\"] \n  9 -> 11 [size =\"14503936\"]\n  9 -> 16 [size =\"14503936\"]\n  9 -> 17 [size =\"14503936\"]\n  9 -> 20 [size =\"14503936\"]\n  10 [size=\"61811200\", alpha=\"0.06\", expect_size=\"24724480\"] \n  10 -> 12 [size =\"24724480\"]\n  10 -> 13 [size =\"24724480\"]\n  11 [size=\"21478400\", alpha=\"0.09\", expect_size=\"8591360\"] \n  11 -> 22 [size =\"8591360\"]\n  11 -> 23 [size =\"8591360\"]\n  11 -> 26 [size =\"8591360\"]\n  11 -> 27 [size =\"8591360\"]\n  12 [size=\"38105600\", alpha=\"0.14\", expect_size=\"15242240\"] \n  12 -> 27 [size =\"15242240\"]\n  13 [size=\"55956480\", alpha=\"0.18\", expect_size=\"22382592\"] \n  13 -> 29 [size =\"22382592\"]\n  14 [size=\"80688640\", alpha=\"0.14\", expect_size=\"32275456\"] \n  15 [size=\"26872320\", alpha=\"0.18\", expect_size=\"10748928\"] \n  15 -> 21 [size =\"10748928\"]\n  15 -> 22 [size =\"10748928\"]\n  15 -> 25 [size =\"10748928\"]\n  15 -> 30 [size =\"10748928\"]\n  16 [size=\"120627200\", alpha=\"0.06\", expect_size=\"48250880\"] \n  16 -> 21 [size =\"48250880\"]\n  16 -> 26 [size =\"48250880\"]\n  16 -> 30 [size =\"48250880\"]\n  17 [size=\"107676160\", alpha=\"0.04\", expect_size=\"43070464\"] \n  17 -> 24 [size =\"43070464\"]\n  17 -> 28 [size =\"43070464\"]\n  18 [size=\"31859200\", alpha=\"0.10\", expect_size=\"12743680\"] \n  18 -> 21 [size =\"12743680\"]\n  18 -> 23 [size =\"12743680\"]\n  18 -> 26 [size =\"12743680\"]\n  18 -> 28 [size =\"12743680\"]\n  18 -> 30 [size =\"12743680\"]\n  19 [size=\"50933760\", alpha=\"0.11\", expect_size=\"20373504\"] \n  19 -> 26 [size =\"20373504\"]\n  19 -> 27 [size =\"20373504\"]\n  19 -> 29 [size =\"20373504\"]\n  20 [size=\"113832960\", alpha=\"0.04\", expect_size=\"45533184\"] \n  20 -> 23 [size =\"45533184\"]\n  21 [size=\"28515840\", alpha=\"0.05\", expect_size=\"11406336\"] \n  22 [size=\"82616320\", alpha=\"0.16\", expect_size=\"33046528\"] \n  23 [size=\"50001920\", alpha=\"0.07\", expect_size=\"20000768\"] \n  24 [size=\"36454400\", alpha=\"0.01\", expect_size=\"14581760\"] \n  25 [size=\"120663040\", alpha=\"0.13\", expect_size=\"48265216\"] \n  26 [size=\"111493120\", alpha=\"0.02\", expect_size=\"44597248\"] \n  27 [size=\"29324800\", alpha=\"0.17\", expect_size=\"11729920\"] \n  28 [size=\"50347520\", alpha=\"0.01\", expect_size=\"20139008\"] \n  29 [size=\"109053440\", alpha=\"0.09\", expect_size=\"43621376\"] \n  30 [size=\"57884160\", alpha=\"0.05\", expect_size=\"23153664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101474987\", alpha=\"0.16\", expect_size=\"30442496\"] \n  1 -> 4 [size =\"30442496\"]\n  2 [size=\"33006933\", alpha=\"0.06\", expect_size=\"9902080\"] \n  2 -> 3 [size =\"9902080\"]\n  2 -> 4 [size =\"9902080\"]\n  3 [size=\"108789760\", alpha=\"0.05\", expect_size=\"32636928\"] \n  3 -> 5 [size =\"32636928\"]\n  4 [size=\"42693973\", alpha=\"0.01\", expect_size=\"12808192\"] \n  4 -> 5 [size =\"12808192\"]\n  4 -> 6 [size =\"12808192\"]\n  5 [size=\"132328107\", alpha=\"0.02\", expect_size=\"39698432\"] \n  5 -> 7 [size =\"39698432\"]\n  6 [size=\"61562880\", alpha=\"0.15\", expect_size=\"18468864\"] \n  7 [size=\"117415253\", alpha=\"0.10\", expect_size=\"35224576\"] \n  7 -> 8 [size =\"35224576\"]\n  7 -> 9 [size =\"35224576\"]\n  8 [size=\"145844907\", alpha=\"0.19\", expect_size=\"43753472\"] \n  8 -> 10 [size =\"43753472\"]\n  9 [size=\"56555520\", alpha=\"0.15\", expect_size=\"16966656\"] \n  9 -> 11 [size =\"16966656\"]\n  10 [size=\"67826347\", alpha=\"0.19\", expect_size=\"20347904\"] \n  10 -> 12 [size =\"20347904\"]\n  10 -> 13 [size =\"20347904\"]\n  11 [size=\"21391360\", alpha=\"0.18\", expect_size=\"6417408\"] \n  11 -> 12 [size =\"6417408\"]\n  12 [size=\"144080213\", alpha=\"0.06\", expect_size=\"43224064\"] \n  12 -> 14 [size =\"43224064\"]\n  13 [size=\"30426453\", alpha=\"0.17\", expect_size=\"9127936\"] \n  14 [size=\"70144000\", alpha=\"0.00\", expect_size=\"21043200\"] \n  14 -> 15 [size =\"21043200\"]\n  15 [size=\"76503040\", alpha=\"0.18\", expect_size=\"22950912\"] \n  15 -> 16 [size =\"22950912\"]\n  15 -> 17 [size =\"22950912\"]\n  16 [size=\"92258987\", alpha=\"0.08\", expect_size=\"27677696\"] \n  17 [size=\"56064000\", alpha=\"0.03\", expect_size=\"16819200\"] \n  17 -> 18 [size =\"16819200\"]\n  18 [size=\"131126613\", alpha=\"0.08\", expect_size=\"39337984\"] \n  18 -> 19 [size =\"39337984\"]\n  18 -> 20 [size =\"39337984\"]\n  19 [size=\"123153067\", alpha=\"0.14\", expect_size=\"36945920\"] \n  20 [size=\"86097920\", alpha=\"0.07\", expect_size=\"25829376\"] \n  20 -> 21 [size =\"25829376\"]\n  21 [size=\"78735360\", alpha=\"0.10\", expect_size=\"23620608\"] \n  21 -> 22 [size =\"23620608\"]\n  22 [size=\"64413013\", alpha=\"0.15\", expect_size=\"19323904\"] \n  22 -> 23 [size =\"19323904\"]\n  23 [size=\"109704533\", alpha=\"0.12\", expect_size=\"32911360\"] \n  23 -> 24 [size =\"32911360\"]\n  23 -> 25 [size =\"32911360\"]\n  24 [size=\"89398613\", alpha=\"0.12\", expect_size=\"26819584\"] \n  24 -> 26 [size =\"26819584\"]\n  25 [size=\"91095040\", alpha=\"0.07\", expect_size=\"27328512\"] \n  25 -> 26 [size =\"27328512\"]\n  26 [size=\"77441707\", alpha=\"0.07\", expect_size=\"23232512\"] \n  26 -> 27 [size =\"23232512\"]\n  27 [size=\"139929600\", alpha=\"0.20\", expect_size=\"41978880\"] \n  27 -> 28 [size =\"41978880\"]\n  28 [size=\"162385920\", alpha=\"0.09\", expect_size=\"48715776\"] \n  28 -> 29 [size =\"48715776\"]\n  28 -> 30 [size =\"48715776\"]\n  29 [size=\"71277227\", alpha=\"0.03\", expect_size=\"21383168\"] \n  30 [size=\"27989333\", alpha=\"0.04\", expect_size=\"8396800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51877888\", alpha=\"0.17\", expect_size=\"25938944\"] \n  1 -> 5 [size =\"25938944\"]\n  1 -> 7 [size =\"25938944\"]\n  2 [size=\"28592128\", alpha=\"0.05\", expect_size=\"14296064\"] \n  2 -> 8 [size =\"14296064\"]\n  3 [size=\"12992512\", alpha=\"0.15\", expect_size=\"6496256\"] \n  3 -> 5 [size =\"6496256\"]\n  3 -> 7 [size =\"6496256\"]\n  3 -> 9 [size =\"6496256\"]\n  4 [size=\"50485248\", alpha=\"0.01\", expect_size=\"25242624\"] \n  4 -> 5 [size =\"25242624\"]\n  4 -> 6 [size =\"25242624\"]\n  4 -> 8 [size =\"25242624\"]\n  4 -> 9 [size =\"25242624\"]\n  5 [size=\"59123712\", alpha=\"0.11\", expect_size=\"29561856\"] \n  5 -> 10 [size =\"29561856\"]\n  6 [size=\"26550272\", alpha=\"0.16\", expect_size=\"13275136\"] \n  7 [size=\"78221312\", alpha=\"0.19\", expect_size=\"39110656\"] \n  7 -> 10 [size =\"39110656\"]\n  7 -> 11 [size =\"39110656\"]\n  7 -> 12 [size =\"39110656\"]\n  7 -> 13 [size =\"39110656\"]\n  8 [size=\"96929792\", alpha=\"0.17\", expect_size=\"48464896\"] \n  8 -> 10 [size =\"48464896\"]\n  9 [size=\"96997376\", alpha=\"0.04\", expect_size=\"48498688\"] \n  9 -> 10 [size =\"48498688\"]\n  9 -> 12 [size =\"48498688\"]\n  10 [size=\"68239360\", alpha=\"0.05\", expect_size=\"34119680\"] \n  10 -> 15 [size =\"34119680\"]\n  11 [size=\"104693760\", alpha=\"0.12\", expect_size=\"52346880\"] \n  11 -> 16 [size =\"52346880\"]\n  12 [size=\"92446720\", alpha=\"0.09\", expect_size=\"46223360\"] \n  12 -> 16 [size =\"46223360\"]\n  12 -> 18 [size =\"46223360\"]\n  13 [size=\"23279616\", alpha=\"0.19\", expect_size=\"11639808\"] \n  13 -> 14 [size =\"11639808\"]\n  13 -> 16 [size =\"11639808\"]\n  13 -> 17 [size =\"11639808\"]\n  14 [size=\"91740160\", alpha=\"0.16\", expect_size=\"45870080\"] \n  14 -> 20 [size =\"45870080\"]\n  14 -> 21 [size =\"45870080\"]\n  15 [size=\"97847296\", alpha=\"0.09\", expect_size=\"48923648\"] \n  15 -> 19 [size =\"48923648\"]\n  15 -> 21 [size =\"48923648\"]\n  15 -> 22 [size =\"48923648\"]\n  16 [size=\"55554048\", alpha=\"0.06\", expect_size=\"27777024\"] \n  16 -> 19 [size =\"27777024\"]\n  17 [size=\"38907904\", alpha=\"0.15\", expect_size=\"19453952\"] \n  17 -> 19 [size =\"19453952\"]\n  17 -> 20 [size =\"19453952\"]\n  18 [size=\"34811904\", alpha=\"0.11\", expect_size=\"17405952\"] \n  18 -> 20 [size =\"17405952\"]\n  18 -> 21 [size =\"17405952\"]\n  19 [size=\"20772864\", alpha=\"0.04\", expect_size=\"10386432\"] \n  19 -> 23 [size =\"10386432\"]\n  19 -> 26 [size =\"10386432\"]\n  20 [size=\"41066496\", alpha=\"0.05\", expect_size=\"20533248\"] \n  20 -> 23 [size =\"20533248\"]\n  20 -> 24 [size =\"20533248\"]\n  20 -> 25 [size =\"20533248\"]\n  21 [size=\"63094784\", alpha=\"0.15\", expect_size=\"31547392\"] \n  21 -> 23 [size =\"31547392\"]\n  21 -> 24 [size =\"31547392\"]\n  21 -> 25 [size =\"31547392\"]\n  21 -> 26 [size =\"31547392\"]\n  22 [size=\"25333760\", alpha=\"0.09\", expect_size=\"12666880\"] \n  22 -> 24 [size =\"12666880\"]\n  22 -> 25 [size =\"12666880\"]\n  23 [size=\"67706880\", alpha=\"0.04\", expect_size=\"33853440\"] \n  23 -> 27 [size =\"33853440\"]\n  23 -> 29 [size =\"33853440\"]\n  24 [size=\"62953472\", alpha=\"0.07\", expect_size=\"31476736\"] \n  24 -> 27 [size =\"31476736\"]\n  24 -> 28 [size =\"31476736\"]\n  24 -> 30 [size =\"31476736\"]\n  25 [size=\"43145216\", alpha=\"0.00\", expect_size=\"21572608\"] \n  25 -> 28 [size =\"21572608\"]\n  26 [size=\"86204416\", alpha=\"0.17\", expect_size=\"43102208\"] \n  26 -> 27 [size =\"43102208\"]\n  27 [size=\"18446336\", alpha=\"0.08\", expect_size=\"9223168\"] \n  28 [size=\"90519552\", alpha=\"0.17\", expect_size=\"45259776\"] \n  29 [size=\"46118912\", alpha=\"0.05\", expect_size=\"23059456\"] \n  30 [size=\"63744000\", alpha=\"0.05\", expect_size=\"31872000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68920320\", alpha=\"0.06\", expect_size=\"27568128\"] \n  1 -> 21 [size =\"27568128\"]\n  1 -> 22 [size =\"27568128\"]\n  1 -> 23 [size =\"27568128\"]\n  1 -> 29 [size =\"27568128\"]\n  2 [size=\"67947520\", alpha=\"0.11\", expect_size=\"27179008\"] \n  2 -> 22 [size =\"27179008\"]\n  2 -> 23 [size =\"27179008\"]\n  2 -> 23 [size =\"27179008\"]\n  2 -> 26 [size =\"27179008\"]\n  2 -> 29 [size =\"27179008\"]\n  3 [size=\"129088000\", alpha=\"0.04\", expect_size=\"51635200\"] \n  3 -> 22 [size =\"51635200\"]\n  3 -> 24 [size =\"51635200\"]\n  3 -> 25 [size =\"51635200\"]\n  3 -> 29 [size =\"51635200\"]\n  3 -> 29 [size =\"51635200\"]\n  4 [size=\"93304320\", alpha=\"0.13\", expect_size=\"37321728\"] \n  4 -> 19 [size =\"37321728\"]\n  4 -> 22 [size =\"37321728\"]\n  4 -> 23 [size =\"37321728\"]\n  4 -> 25 [size =\"37321728\"]\n  4 -> 28 [size =\"37321728\"]\n  4 -> 29 [size =\"37321728\"]\n  5 [size=\"71162880\", alpha=\"0.16\", expect_size=\"28465152\"] \n  5 -> 19 [size =\"28465152\"]\n  5 -> 20 [size =\"28465152\"]\n  5 -> 26 [size =\"28465152\"]\n  5 -> 27 [size =\"28465152\"]\n  5 -> 28 [size =\"28465152\"]\n  6 [size=\"57822720\", alpha=\"0.07\", expect_size=\"23129088\"] \n  6 -> 19 [size =\"23129088\"]\n  6 -> 20 [size =\"23129088\"]\n  6 -> 26 [size =\"23129088\"]\n  6 -> 28 [size =\"23129088\"]\n  7 [size=\"110195200\", alpha=\"0.02\", expect_size=\"44078080\"] \n  7 -> 18 [size =\"44078080\"]\n  7 -> 20 [size =\"44078080\"]\n  7 -> 21 [size =\"44078080\"]\n  7 -> 22 [size =\"44078080\"]\n  7 -> 26 [size =\"44078080\"]\n  7 -> 28 [size =\"44078080\"]\n  7 -> 30 [size =\"44078080\"]\n  8 [size=\"81845760\", alpha=\"0.04\", expect_size=\"32738304\"] \n  8 -> 23 [size =\"32738304\"]\n  8 -> 27 [size =\"32738304\"]\n  9 [size=\"62545920\", alpha=\"0.03\", expect_size=\"25018368\"] \n  9 -> 21 [size =\"25018368\"]\n  9 -> 22 [size =\"25018368\"]\n  9 -> 23 [size =\"25018368\"]\n  9 -> 25 [size =\"25018368\"]\n  9 -> 28 [size =\"25018368\"]\n  10 [size=\"121067520\", alpha=\"0.07\", expect_size=\"48427008\"] \n  10 -> 18 [size =\"48427008\"]\n  10 -> 21 [size =\"48427008\"]\n  10 -> 23 [size =\"48427008\"]\n  11 [size=\"88307200\", alpha=\"0.14\", expect_size=\"35322880\"] \n  11 -> 18 [size =\"35322880\"]\n  11 -> 19 [size =\"35322880\"]\n  11 -> 27 [size =\"35322880\"]\n  12 [size=\"122094080\", alpha=\"0.06\", expect_size=\"48837632\"] \n  12 -> 18 [size =\"48837632\"]\n  12 -> 19 [size =\"48837632\"]\n  12 -> 22 [size =\"48837632\"]\n  12 -> 25 [size =\"48837632\"]\n  12 -> 29 [size =\"48837632\"]\n  13 [size=\"67312640\", alpha=\"0.17\", expect_size=\"26925056\"] \n  13 -> 19 [size =\"26925056\"]\n  13 -> 19 [size =\"26925056\"]\n  13 -> 26 [size =\"26925056\"]\n  13 -> 29 [size =\"26925056\"]\n  14 [size=\"93176320\", alpha=\"0.19\", expect_size=\"37270528\"] \n  14 -> 19 [size =\"37270528\"]\n  14 -> 20 [size =\"37270528\"]\n  14 -> 24 [size =\"37270528\"]\n  14 -> 26 [size =\"37270528\"]\n  15 [size=\"50749440\", alpha=\"0.02\", expect_size=\"20299776\"] \n  15 -> 27 [size =\"20299776\"]\n  15 -> 28 [size =\"20299776\"]\n  16 [size=\"27092480\", alpha=\"0.01\", expect_size=\"10836992\"] \n  16 -> 23 [size =\"10836992\"]\n  16 -> 29 [size =\"10836992\"]\n  17 [size=\"68851200\", alpha=\"0.15\", expect_size=\"27540480\"] \n  17 -> 19 [size =\"27540480\"]\n  17 -> 21 [size =\"27540480\"]\n  17 -> 25 [size =\"27540480\"]\n  17 -> 27 [size =\"27540480\"]\n  17 -> 29 [size =\"27540480\"]\n  18 [size=\"79920640\", alpha=\"0.11\", expect_size=\"31968256\"] \n  19 [size=\"103272960\", alpha=\"0.08\", expect_size=\"41309184\"] \n  20 [size=\"118236160\", alpha=\"0.10\", expect_size=\"47294464\"] \n  21 [size=\"41469440\", alpha=\"0.02\", expect_size=\"16587776\"] \n  22 [size=\"122923520\", alpha=\"0.03\", expect_size=\"49169408\"] \n  23 [size=\"41008640\", alpha=\"0.03\", expect_size=\"16403456\"] \n  24 [size=\"23682560\", alpha=\"0.17\", expect_size=\"9473024\"] \n  25 [size=\"15674880\", alpha=\"0.01\", expect_size=\"6269952\"] \n  26 [size=\"26017280\", alpha=\"0.13\", expect_size=\"10406912\"] \n  27 [size=\"32110080\", alpha=\"0.01\", expect_size=\"12844032\"] \n  28 [size=\"117864960\", alpha=\"0.01\", expect_size=\"47145984\"] \n  29 [size=\"62108160\", alpha=\"0.09\", expect_size=\"24843264\"] \n  30 [size=\"108764160\", alpha=\"0.15\", expect_size=\"43505664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42328747\", alpha=\"0.07\", expect_size=\"12698624\"] \n  1 -> 15 [size =\"12698624\"]\n  1 -> 17 [size =\"12698624\"]\n  1 -> 18 [size =\"12698624\"]\n  2 [size=\"116517547\", alpha=\"0.14\", expect_size=\"34955264\"] \n  2 -> 10 [size =\"34955264\"]\n  2 -> 12 [size =\"34955264\"]\n  2 -> 16 [size =\"34955264\"]\n  2 -> 17 [size =\"34955264\"]\n  2 -> 18 [size =\"34955264\"]\n  3 [size=\"55657813\", alpha=\"0.18\", expect_size=\"16697344\"] \n  3 -> 10 [size =\"16697344\"]\n  3 -> 14 [size =\"16697344\"]\n  3 -> 15 [size =\"16697344\"]\n  3 -> 17 [size =\"16697344\"]\n  3 -> 18 [size =\"16697344\"]\n  4 [size=\"56661333\", alpha=\"0.02\", expect_size=\"16998400\"] \n  4 -> 13 [size =\"16998400\"]\n  4 -> 18 [size =\"16998400\"]\n  4 -> 19 [size =\"16998400\"]\n  5 [size=\"44004693\", alpha=\"0.07\", expect_size=\"13201408\"] \n  5 -> 12 [size =\"13201408\"]\n  6 [size=\"125160107\", alpha=\"0.16\", expect_size=\"37548032\"] \n  6 -> 10 [size =\"37548032\"]\n  6 -> 12 [size =\"37548032\"]\n  6 -> 15 [size =\"37548032\"]\n  7 [size=\"97303893\", alpha=\"0.15\", expect_size=\"29191168\"] \n  7 -> 11 [size =\"29191168\"]\n  7 -> 12 [size =\"29191168\"]\n  7 -> 15 [size =\"29191168\"]\n  7 -> 16 [size =\"29191168\"]\n  8 [size=\"43581440\", alpha=\"0.15\", expect_size=\"13074432\"] \n  8 -> 12 [size =\"13074432\"]\n  8 -> 15 [size =\"13074432\"]\n  8 -> 18 [size =\"13074432\"]\n  9 [size=\"146913280\", alpha=\"0.07\", expect_size=\"44073984\"] \n  9 -> 14 [size =\"44073984\"]\n  9 -> 17 [size =\"44073984\"]\n  9 -> 18 [size =\"44073984\"]\n  9 -> 19 [size =\"44073984\"]\n  10 [size=\"59009707\", alpha=\"0.19\", expect_size=\"17702912\"] \n  10 -> 21 [size =\"17702912\"]\n  10 -> 23 [size =\"17702912\"]\n  10 -> 27 [size =\"17702912\"]\n  11 [size=\"56477013\", alpha=\"0.07\", expect_size=\"16943104\"] \n  11 -> 21 [size =\"16943104\"]\n  11 -> 22 [size =\"16943104\"]\n  12 [size=\"109977600\", alpha=\"0.19\", expect_size=\"32993280\"] \n  12 -> 21 [size =\"32993280\"]\n  12 -> 22 [size =\"32993280\"]\n  12 -> 24 [size =\"32993280\"]\n  12 -> 27 [size =\"32993280\"]\n  13 [size=\"66037760\", alpha=\"0.19\", expect_size=\"19811328\"] \n  13 -> 22 [size =\"19811328\"]\n  13 -> 24 [size =\"19811328\"]\n  13 -> 26 [size =\"19811328\"]\n  14 [size=\"48165547\", alpha=\"0.19\", expect_size=\"14449664\"] \n  14 -> 24 [size =\"14449664\"]\n  14 -> 25 [size =\"14449664\"]\n  15 [size=\"60876800\", alpha=\"0.17\", expect_size=\"18263040\"] \n  15 -> 20 [size =\"18263040\"]\n  15 -> 21 [size =\"18263040\"]\n  15 -> 22 [size =\"18263040\"]\n  15 -> 29 [size =\"18263040\"]\n  16 [size=\"117172907\", alpha=\"0.07\", expect_size=\"35151872\"] \n  16 -> 20 [size =\"35151872\"]\n  16 -> 22 [size =\"35151872\"]\n  16 -> 28 [size =\"35151872\"]\n  16 -> 29 [size =\"35151872\"]\n  17 [size=\"84660907\", alpha=\"0.04\", expect_size=\"25398272\"] \n  17 -> 20 [size =\"25398272\"]\n  17 -> 22 [size =\"25398272\"]\n  17 -> 24 [size =\"25398272\"]\n  17 -> 25 [size =\"25398272\"]\n  17 -> 26 [size =\"25398272\"]\n  17 -> 28 [size =\"25398272\"]\n  18 [size=\"48711680\", alpha=\"0.11\", expect_size=\"14613504\"] \n  18 -> 25 [size =\"14613504\"]\n  18 -> 26 [size =\"14613504\"]\n  18 -> 27 [size =\"14613504\"]\n  18 -> 28 [size =\"14613504\"]\n  19 [size=\"170437973\", alpha=\"0.02\", expect_size=\"51131392\"] \n  19 -> 21 [size =\"51131392\"]\n  19 -> 22 [size =\"51131392\"]\n  19 -> 26 [size =\"51131392\"]\n  19 -> 27 [size =\"51131392\"]\n  20 [size=\"69403307\", alpha=\"0.04\", expect_size=\"20820992\"] \n  21 [size=\"60002987\", alpha=\"0.10\", expect_size=\"18000896\"] \n  21 -> 30 [size =\"18000896\"]\n  22 [size=\"115333120\", alpha=\"0.08\", expect_size=\"34599936\"] \n  22 -> 30 [size =\"34599936\"]\n  23 [size=\"107782827\", alpha=\"0.11\", expect_size=\"32334848\"] \n  24 [size=\"101942613\", alpha=\"0.19\", expect_size=\"30582784\"] \n  25 [size=\"93579947\", alpha=\"0.10\", expect_size=\"28073984\"] \n  26 [size=\"72294400\", alpha=\"0.15\", expect_size=\"21688320\"] \n  27 [size=\"126477653\", alpha=\"0.10\", expect_size=\"37943296\"] \n  27 -> 30 [size =\"37943296\"]\n  28 [size=\"155357867\", alpha=\"0.08\", expect_size=\"46607360\"] \n  29 [size=\"82821120\", alpha=\"0.03\", expect_size=\"24846336\"] \n  30 [size=\"98710187\", alpha=\"0.03\", expect_size=\"29613056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52951040\", alpha=\"0.08\", expect_size=\"15885312\"] \n  1 -> 4 [size =\"15885312\"]\n  1 -> 5 [size =\"15885312\"]\n  1 -> 6 [size =\"15885312\"]\n  1 -> 7 [size =\"15885312\"]\n  2 [size=\"59743573\", alpha=\"0.14\", expect_size=\"17923072\"] \n  2 -> 4 [size =\"17923072\"]\n  2 -> 5 [size =\"17923072\"]\n  2 -> 7 [size =\"17923072\"]\n  2 -> 8 [size =\"17923072\"]\n  3 [size=\"152930987\", alpha=\"0.10\", expect_size=\"45879296\"] \n  3 -> 4 [size =\"45879296\"]\n  3 -> 9 [size =\"45879296\"]\n  4 [size=\"24111787\", alpha=\"0.05\", expect_size=\"7233536\"] \n  4 -> 11 [size =\"7233536\"]\n  5 [size=\"20746240\", alpha=\"0.18\", expect_size=\"6223872\"] \n  5 -> 11 [size =\"6223872\"]\n  6 [size=\"84831573\", alpha=\"0.05\", expect_size=\"25449472\"] \n  6 -> 10 [size =\"25449472\"]\n  6 -> 12 [size =\"25449472\"]\n  6 -> 13 [size =\"25449472\"]\n  7 [size=\"118572373\", alpha=\"0.14\", expect_size=\"35571712\"] \n  7 -> 11 [size =\"35571712\"]\n  7 -> 12 [size =\"35571712\"]\n  7 -> 13 [size =\"35571712\"]\n  8 [size=\"22173013\", alpha=\"0.12\", expect_size=\"6651904\"] \n  8 -> 12 [size =\"6651904\"]\n  8 -> 13 [size =\"6651904\"]\n  8 -> 13 [size =\"6651904\"]\n  9 [size=\"47687680\", alpha=\"0.16\", expect_size=\"14306304\"] \n  9 -> 11 [size =\"14306304\"]\n  10 [size=\"146664107\", alpha=\"0.03\", expect_size=\"43999232\"] \n  10 -> 16 [size =\"43999232\"]\n  10 -> 17 [size =\"43999232\"]\n  10 -> 18 [size =\"43999232\"]\n  11 [size=\"78769493\", alpha=\"0.08\", expect_size=\"23630848\"] \n  11 -> 15 [size =\"23630848\"]\n  11 -> 17 [size =\"23630848\"]\n  12 [size=\"141253973\", alpha=\"0.04\", expect_size=\"42376192\"] \n  12 -> 14 [size =\"42376192\"]\n  12 -> 17 [size =\"42376192\"]\n  12 -> 18 [size =\"42376192\"]\n  13 [size=\"93692587\", alpha=\"0.04\", expect_size=\"28107776\"] \n  13 -> 15 [size =\"28107776\"]\n  14 [size=\"173953707\", alpha=\"0.13\", expect_size=\"52186112\"] \n  15 [size=\"57016320\", alpha=\"0.06\", expect_size=\"17104896\"] \n  16 [size=\"43830613\", alpha=\"0.18\", expect_size=\"13149184\"] \n  16 -> 19 [size =\"13149184\"]\n  16 -> 20 [size =\"13149184\"]\n  16 -> 21 [size =\"13149184\"]\n  17 [size=\"82790400\", alpha=\"0.14\", expect_size=\"24837120\"] \n  17 -> 20 [size =\"24837120\"]\n  18 [size=\"33252693\", alpha=\"0.08\", expect_size=\"9975808\"] \n  18 -> 20 [size =\"9975808\"]\n  19 [size=\"129733973\", alpha=\"0.20\", expect_size=\"38920192\"] \n  19 -> 24 [size =\"38920192\"]\n  20 [size=\"99133440\", alpha=\"0.12\", expect_size=\"29740032\"] \n  20 -> 22 [size =\"29740032\"]\n  21 [size=\"124863147\", alpha=\"0.09\", expect_size=\"37458944\"] \n  21 -> 22 [size =\"37458944\"]\n  21 -> 23 [size =\"37458944\"]\n  21 -> 25 [size =\"37458944\"]\n  22 [size=\"27439787\", alpha=\"0.11\", expect_size=\"8231936\"] \n  22 -> 26 [size =\"8231936\"]\n  22 -> 27 [size =\"8231936\"]\n  22 -> 29 [size =\"8231936\"]\n  22 -> 30 [size =\"8231936\"]\n  23 [size=\"62382080\", alpha=\"0.11\", expect_size=\"18714624\"] \n  23 -> 29 [size =\"18714624\"]\n  24 [size=\"93460480\", alpha=\"0.11\", expect_size=\"28038144\"] \n  24 -> 26 [size =\"28038144\"]\n  24 -> 27 [size =\"28038144\"]\n  24 -> 30 [size =\"28038144\"]\n  25 [size=\"38990507\", alpha=\"0.12\", expect_size=\"11697152\"] \n  25 -> 26 [size =\"11697152\"]\n  25 -> 27 [size =\"11697152\"]\n  25 -> 28 [size =\"11697152\"]\n  25 -> 30 [size =\"11697152\"]\n  26 [size=\"84589227\", alpha=\"0.01\", expect_size=\"25376768\"] \n  27 [size=\"66532693\", alpha=\"0.04\", expect_size=\"19959808\"] \n  28 [size=\"172950187\", alpha=\"0.07\", expect_size=\"51885056\"] \n  29 [size=\"76438187\", alpha=\"0.13\", expect_size=\"22931456\"] \n  30 [size=\"72960000\", alpha=\"0.16\", expect_size=\"21888000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58961920\", alpha=\"0.16\", expect_size=\"23584768\"] \n  1 -> 13 [size =\"23584768\"]\n  1 -> 15 [size =\"23584768\"]\n  1 -> 15 [size =\"23584768\"]\n  1 -> 16 [size =\"23584768\"]\n  2 [size=\"107886080\", alpha=\"0.01\", expect_size=\"43154432\"] \n  2 -> 16 [size =\"43154432\"]\n  2 -> 18 [size =\"43154432\"]\n  3 [size=\"104327680\", alpha=\"0.10\", expect_size=\"41731072\"] \n  3 -> 13 [size =\"41731072\"]\n  3 -> 18 [size =\"41731072\"]\n  4 [size=\"65925120\", alpha=\"0.08\", expect_size=\"26370048\"] \n  4 -> 10 [size =\"26370048\"]\n  4 -> 13 [size =\"26370048\"]\n  5 [size=\"58562560\", alpha=\"0.02\", expect_size=\"23425024\"] \n  6 [size=\"50951680\", alpha=\"0.00\", expect_size=\"20380672\"] \n  6 -> 11 [size =\"20380672\"]\n  6 -> 13 [size =\"20380672\"]\n  6 -> 15 [size =\"20380672\"]\n  6 -> 18 [size =\"20380672\"]\n  7 [size=\"49203200\", alpha=\"0.04\", expect_size=\"19681280\"] \n  7 -> 12 [size =\"19681280\"]\n  7 -> 14 [size =\"19681280\"]\n  7 -> 15 [size =\"19681280\"]\n  7 -> 17 [size =\"19681280\"]\n  7 -> 18 [size =\"19681280\"]\n  8 [size=\"21194240\", alpha=\"0.01\", expect_size=\"8477696\"] \n  8 -> 15 [size =\"8477696\"]\n  9 [size=\"33899520\", alpha=\"0.06\", expect_size=\"13559808\"] \n  9 -> 13 [size =\"13559808\"]\n  9 -> 14 [size =\"13559808\"]\n  9 -> 15 [size =\"13559808\"]\n  10 [size=\"77785600\", alpha=\"0.12\", expect_size=\"31114240\"] \n  10 -> 19 [size =\"31114240\"]\n  10 -> 21 [size =\"31114240\"]\n  11 [size=\"108613120\", alpha=\"0.18\", expect_size=\"43445248\"] \n  11 -> 19 [size =\"43445248\"]\n  11 -> 20 [size =\"43445248\"]\n  11 -> 21 [size =\"43445248\"]\n  11 -> 22 [size =\"43445248\"]\n  11 -> 26 [size =\"43445248\"]\n  11 -> 27 [size =\"43445248\"]\n  12 [size=\"82744320\", alpha=\"0.04\", expect_size=\"33097728\"] \n  12 -> 22 [size =\"33097728\"]\n  12 -> 26 [size =\"33097728\"]\n  13 [size=\"89254400\", alpha=\"0.17\", expect_size=\"35701760\"] \n  13 -> 19 [size =\"35701760\"]\n  13 -> 21 [size =\"35701760\"]\n  13 -> 22 [size =\"35701760\"]\n  13 -> 23 [size =\"35701760\"]\n  13 -> 24 [size =\"35701760\"]\n  14 [size=\"28700160\", alpha=\"0.16\", expect_size=\"11480064\"] \n  14 -> 19 [size =\"11480064\"]\n  14 -> 22 [size =\"11480064\"]\n  14 -> 27 [size =\"11480064\"]\n  15 [size=\"77478400\", alpha=\"0.05\", expect_size=\"30991360\"] \n  15 -> 25 [size =\"30991360\"]\n  15 -> 26 [size =\"30991360\"]\n  15 -> 27 [size =\"30991360\"]\n  16 [size=\"92096000\", alpha=\"0.10\", expect_size=\"36838400\"] \n  16 -> 24 [size =\"36838400\"]\n  16 -> 25 [size =\"36838400\"]\n  16 -> 27 [size =\"36838400\"]\n  17 [size=\"92328960\", alpha=\"0.06\", expect_size=\"36931584\"] \n  17 -> 19 [size =\"36931584\"]\n  17 -> 21 [size =\"36931584\"]\n  17 -> 22 [size =\"36931584\"]\n  17 -> 23 [size =\"36931584\"]\n  17 -> 24 [size =\"36931584\"]\n  17 -> 27 [size =\"36931584\"]\n  18 [size=\"113546240\", alpha=\"0.00\", expect_size=\"45418496\"] \n  18 -> 19 [size =\"45418496\"]\n  18 -> 21 [size =\"45418496\"]\n  18 -> 24 [size =\"45418496\"]\n  19 [size=\"118707200\", alpha=\"0.16\", expect_size=\"47482880\"] \n  19 -> 29 [size =\"47482880\"]\n  20 [size=\"36917760\", alpha=\"0.16\", expect_size=\"14767104\"] \n  20 -> 29 [size =\"14767104\"]\n  20 -> 30 [size =\"14767104\"]\n  21 [size=\"107240960\", alpha=\"0.03\", expect_size=\"42896384\"] \n  21 -> 29 [size =\"42896384\"]\n  22 [size=\"93841920\", alpha=\"0.07\", expect_size=\"37536768\"] \n  22 -> 30 [size =\"37536768\"]\n  23 [size=\"117772800\", alpha=\"0.06\", expect_size=\"47109120\"] \n  23 -> 28 [size =\"47109120\"]\n  23 -> 29 [size =\"47109120\"]\n  23 -> 30 [size =\"47109120\"]\n  24 [size=\"100592640\", alpha=\"0.14\", expect_size=\"40237056\"] \n  24 -> 28 [size =\"40237056\"]\n  24 -> 30 [size =\"40237056\"]\n  25 [size=\"76544000\", alpha=\"0.10\", expect_size=\"30617600\"] \n  25 -> 28 [size =\"30617600\"]\n  25 -> 30 [size =\"30617600\"]\n  26 [size=\"107276800\", alpha=\"0.13\", expect_size=\"42910720\"] \n  27 [size=\"50293760\", alpha=\"0.01\", expect_size=\"20117504\"] \n  27 -> 29 [size =\"20117504\"]\n  28 [size=\"88624640\", alpha=\"0.11\", expect_size=\"35449856\"] \n  29 [size=\"88660480\", alpha=\"0.04\", expect_size=\"35464192\"] \n  30 [size=\"64483840\", alpha=\"0.08\", expect_size=\"25793536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118978560\", alpha=\"0.05\", expect_size=\"47591424\"] \n  1 -> 6 [size =\"47591424\"]\n  2 [size=\"107123200\", alpha=\"0.16\", expect_size=\"42849280\"] \n  2 -> 7 [size =\"42849280\"]\n  3 [size=\"19832320\", alpha=\"0.17\", expect_size=\"7932928\"] \n  3 -> 7 [size =\"7932928\"]\n  4 [size=\"43235840\", alpha=\"0.00\", expect_size=\"17294336\"] \n  5 [size=\"31116800\", alpha=\"0.02\", expect_size=\"12446720\"] \n  6 [size=\"39224320\", alpha=\"0.13\", expect_size=\"15689728\"] \n  6 -> 9 [size =\"15689728\"]\n  6 -> 10 [size =\"15689728\"]\n  6 -> 11 [size =\"15689728\"]\n  6 -> 12 [size =\"15689728\"]\n  6 -> 13 [size =\"15689728\"]\n  7 [size=\"76666880\", alpha=\"0.19\", expect_size=\"30666752\"] \n  7 -> 8 [size =\"30666752\"]\n  7 -> 9 [size =\"30666752\"]\n  7 -> 10 [size =\"30666752\"]\n  7 -> 11 [size =\"30666752\"]\n  7 -> 12 [size =\"30666752\"]\n  7 -> 13 [size =\"30666752\"]\n  8 [size=\"116341760\", alpha=\"0.11\", expect_size=\"46536704\"] \n  8 -> 15 [size =\"46536704\"]\n  8 -> 17 [size =\"46536704\"]\n  9 [size=\"68129280\", alpha=\"0.09\", expect_size=\"27251712\"] \n  9 -> 15 [size =\"27251712\"]\n  9 -> 17 [size =\"27251712\"]\n  10 [size=\"115845120\", alpha=\"0.04\", expect_size=\"46338048\"] \n  10 -> 15 [size =\"46338048\"]\n  11 [size=\"57597440\", alpha=\"0.02\", expect_size=\"23038976\"] \n  11 -> 14 [size =\"23038976\"]\n  11 -> 15 [size =\"23038976\"]\n  11 -> 16 [size =\"23038976\"]\n  12 [size=\"84564480\", alpha=\"0.12\", expect_size=\"33825792\"] \n  12 -> 14 [size =\"33825792\"]\n  12 -> 15 [size =\"33825792\"]\n  12 -> 17 [size =\"33825792\"]\n  13 [size=\"60280320\", alpha=\"0.01\", expect_size=\"24112128\"] \n  13 -> 17 [size =\"24112128\"]\n  14 [size=\"41226240\", alpha=\"0.10\", expect_size=\"16490496\"] \n  14 -> 18 [size =\"16490496\"]\n  14 -> 19 [size =\"16490496\"]\n  14 -> 20 [size =\"16490496\"]\n  15 [size=\"43253760\", alpha=\"0.09\", expect_size=\"17301504\"] \n  15 -> 19 [size =\"17301504\"]\n  15 -> 20 [size =\"17301504\"]\n  15 -> 20 [size =\"17301504\"]\n  16 [size=\"57244160\", alpha=\"0.10\", expect_size=\"22897664\"] \n  16 -> 18 [size =\"22897664\"]\n  16 -> 19 [size =\"22897664\"]\n  17 [size=\"15808000\", alpha=\"0.02\", expect_size=\"6323200\"] \n  17 -> 18 [size =\"6323200\"]\n  18 [size=\"127429120\", alpha=\"0.01\", expect_size=\"50971648\"] \n  18 -> 21 [size =\"50971648\"]\n  18 -> 22 [size =\"50971648\"]\n  18 -> 23 [size =\"50971648\"]\n  18 -> 26 [size =\"50971648\"]\n  19 [size=\"74624000\", alpha=\"0.20\", expect_size=\"29849600\"] \n  19 -> 22 [size =\"29849600\"]\n  19 -> 24 [size =\"29849600\"]\n  19 -> 25 [size =\"29849600\"]\n  20 [size=\"127664640\", alpha=\"0.04\", expect_size=\"51065856\"] \n  20 -> 21 [size =\"51065856\"]\n  20 -> 22 [size =\"51065856\"]\n  20 -> 23 [size =\"51065856\"]\n  20 -> 24 [size =\"51065856\"]\n  20 -> 25 [size =\"51065856\"]\n  21 [size=\"31467520\", alpha=\"0.07\", expect_size=\"12587008\"] \n  21 -> 27 [size =\"12587008\"]\n  21 -> 28 [size =\"12587008\"]\n  21 -> 29 [size =\"12587008\"]\n  22 [size=\"45107200\", alpha=\"0.05\", expect_size=\"18042880\"] \n  22 -> 27 [size =\"18042880\"]\n  22 -> 28 [size =\"18042880\"]\n  22 -> 29 [size =\"18042880\"]\n  23 [size=\"115325440\", alpha=\"0.05\", expect_size=\"46130176\"] \n  23 -> 27 [size =\"46130176\"]\n  23 -> 29 [size =\"46130176\"]\n  23 -> 29 [size =\"46130176\"]\n  24 [size=\"118338560\", alpha=\"0.09\", expect_size=\"47335424\"] \n  24 -> 30 [size =\"47335424\"]\n  25 [size=\"62284800\", alpha=\"0.17\", expect_size=\"24913920\"] \n  25 -> 28 [size =\"24913920\"]\n  25 -> 30 [size =\"24913920\"]\n  26 [size=\"113446400\", alpha=\"0.09\", expect_size=\"45378560\"] \n  26 -> 30 [size =\"45378560\"]\n  27 [size=\"53665280\", alpha=\"0.12\", expect_size=\"21466112\"] \n  28 [size=\"65387520\", alpha=\"0.12\", expect_size=\"26155008\"] \n  29 [size=\"69555200\", alpha=\"0.02\", expect_size=\"27822080\"] \n  30 [size=\"69488640\", alpha=\"0.09\", expect_size=\"27795456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85209088\", alpha=\"0.09\", expect_size=\"42604544\"] \n  1 -> 2 [size =\"42604544\"]\n  2 [size=\"38438912\", alpha=\"0.01\", expect_size=\"19219456\"] \n  2 -> 3 [size =\"19219456\"]\n  3 [size=\"102502400\", alpha=\"0.01\", expect_size=\"51251200\"] \n  3 -> 4 [size =\"51251200\"]\n  4 [size=\"59551744\", alpha=\"0.17\", expect_size=\"29775872\"] \n  4 -> 5 [size =\"29775872\"]\n  5 [size=\"41326592\", alpha=\"0.01\", expect_size=\"20663296\"] \n  5 -> 6 [size =\"20663296\"]\n  6 [size=\"33558528\", alpha=\"0.13\", expect_size=\"16779264\"] \n  6 -> 7 [size =\"16779264\"]\n  7 [size=\"83845120\", alpha=\"0.03\", expect_size=\"41922560\"] \n  7 -> 8 [size =\"41922560\"]\n  8 [size=\"42287104\", alpha=\"0.15\", expect_size=\"21143552\"] \n  8 -> 9 [size =\"21143552\"]\n  9 [size=\"24260608\", alpha=\"0.05\", expect_size=\"12130304\"] \n  9 -> 10 [size =\"12130304\"]\n  10 [size=\"74672128\", alpha=\"0.17\", expect_size=\"37336064\"] \n  10 -> 11 [size =\"37336064\"]\n  11 [size=\"34437120\", alpha=\"0.14\", expect_size=\"17218560\"] \n  11 -> 12 [size =\"17218560\"]\n  12 [size=\"74983424\", alpha=\"0.12\", expect_size=\"37491712\"] \n  12 -> 13 [size =\"37491712\"]\n  13 [size=\"80619520\", alpha=\"0.05\", expect_size=\"40309760\"] \n  13 -> 14 [size =\"40309760\"]\n  14 [size=\"85280768\", alpha=\"0.16\", expect_size=\"42640384\"] \n  14 -> 15 [size =\"42640384\"]\n  15 [size=\"72800256\", alpha=\"0.09\", expect_size=\"36400128\"] \n  15 -> 16 [size =\"36400128\"]\n  16 [size=\"75724800\", alpha=\"0.07\", expect_size=\"37862400\"] \n  16 -> 17 [size =\"37862400\"]\n  17 [size=\"42942464\", alpha=\"0.14\", expect_size=\"21471232\"] \n  17 -> 18 [size =\"21471232\"]\n  18 [size=\"55439360\", alpha=\"0.05\", expect_size=\"27719680\"] \n  18 -> 19 [size =\"27719680\"]\n  19 [size=\"33101824\", alpha=\"0.08\", expect_size=\"16550912\"] \n  19 -> 20 [size =\"16550912\"]\n  20 [size=\"58116096\", alpha=\"0.08\", expect_size=\"29058048\"] \n  20 -> 21 [size =\"29058048\"]\n  21 [size=\"42090496\", alpha=\"0.03\", expect_size=\"21045248\"] \n  21 -> 22 [size =\"21045248\"]\n  22 [size=\"14157824\", alpha=\"0.05\", expect_size=\"7078912\"] \n  22 -> 23 [size =\"7078912\"]\n  23 [size=\"72982528\", alpha=\"0.06\", expect_size=\"36491264\"] \n  23 -> 24 [size =\"36491264\"]\n  24 [size=\"98639872\", alpha=\"0.18\", expect_size=\"49319936\"] \n  24 -> 25 [size =\"49319936\"]\n  25 [size=\"81620992\", alpha=\"0.16\", expect_size=\"40810496\"] \n  25 -> 26 [size =\"40810496\"]\n  26 [size=\"31205376\", alpha=\"0.19\", expect_size=\"15602688\"] \n  26 -> 27 [size =\"15602688\"]\n  27 [size=\"66285568\", alpha=\"0.18\", expect_size=\"33142784\"] \n  27 -> 28 [size =\"33142784\"]\n  28 [size=\"36468736\", alpha=\"0.03\", expect_size=\"18234368\"] \n  28 -> 29 [size =\"18234368\"]\n  29 [size=\"57888768\", alpha=\"0.11\", expect_size=\"28944384\"] \n  29 -> 30 [size =\"28944384\"]\n  30 [size=\"93978624\", alpha=\"0.13\", expect_size=\"46989312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97315840\", alpha=\"0.11\", expect_size=\"38926336\"] \n  1 -> 2 [size =\"38926336\"]\n  1 -> 3 [size =\"38926336\"]\n  2 [size=\"24860160\", alpha=\"0.03\", expect_size=\"9944064\"] \n  3 [size=\"75906560\", alpha=\"0.13\", expect_size=\"30362624\"] \n  3 -> 4 [size =\"30362624\"]\n  4 [size=\"78256640\", alpha=\"0.15\", expect_size=\"31302656\"] \n  4 -> 5 [size =\"31302656\"]\n  4 -> 6 [size =\"31302656\"]\n  5 [size=\"39385600\", alpha=\"0.12\", expect_size=\"15754240\"] \n  5 -> 7 [size =\"15754240\"]\n  6 [size=\"63306240\", alpha=\"0.18\", expect_size=\"25322496\"] \n  6 -> 7 [size =\"25322496\"]\n  7 [size=\"80860160\", alpha=\"0.02\", expect_size=\"32344064\"] \n  7 -> 8 [size =\"32344064\"]\n  8 [size=\"106639360\", alpha=\"0.14\", expect_size=\"42655744\"] \n  8 -> 9 [size =\"42655744\"]\n  9 [size=\"102950400\", alpha=\"0.11\", expect_size=\"41180160\"] \n  9 -> 10 [size =\"41180160\"]\n  10 [size=\"25999360\", alpha=\"0.09\", expect_size=\"10399744\"] \n  10 -> 11 [size =\"10399744\"]\n  10 -> 12 [size =\"10399744\"]\n  11 [size=\"98452480\", alpha=\"0.06\", expect_size=\"39380992\"] \n  11 -> 13 [size =\"39380992\"]\n  12 [size=\"42903040\", alpha=\"0.09\", expect_size=\"17161216\"] \n  13 [size=\"58344960\", alpha=\"0.03\", expect_size=\"23337984\"] \n  13 -> 14 [size =\"23337984\"]\n  14 [size=\"18360320\", alpha=\"0.11\", expect_size=\"7344128\"] \n  14 -> 15 [size =\"7344128\"]\n  15 [size=\"109125120\", alpha=\"0.01\", expect_size=\"43650048\"] \n  15 -> 16 [size =\"43650048\"]\n  15 -> 17 [size =\"43650048\"]\n  16 [size=\"61944320\", alpha=\"0.14\", expect_size=\"24777728\"] \n  16 -> 18 [size =\"24777728\"]\n  16 -> 19 [size =\"24777728\"]\n  17 [size=\"50539520\", alpha=\"0.04\", expect_size=\"20215808\"] \n  18 [size=\"61652480\", alpha=\"0.03\", expect_size=\"24660992\"] \n  18 -> 21 [size =\"24660992\"]\n  19 [size=\"28940800\", alpha=\"0.15\", expect_size=\"11576320\"] \n  19 -> 20 [size =\"11576320\"]\n  20 [size=\"91161600\", alpha=\"0.00\", expect_size=\"36464640\"] \n  20 -> 22 [size =\"36464640\"]\n  20 -> 23 [size =\"36464640\"]\n  21 [size=\"27630080\", alpha=\"0.19\", expect_size=\"11052032\"] \n  21 -> 22 [size =\"11052032\"]\n  21 -> 23 [size =\"11052032\"]\n  22 [size=\"61550080\", alpha=\"0.01\", expect_size=\"24620032\"] \n  22 -> 24 [size =\"24620032\"]\n  23 [size=\"112371200\", alpha=\"0.12\", expect_size=\"44948480\"] \n  24 [size=\"128135680\", alpha=\"0.15\", expect_size=\"51254272\"] \n  24 -> 25 [size =\"51254272\"]\n  24 -> 26 [size =\"51254272\"]\n  25 [size=\"75110400\", alpha=\"0.03\", expect_size=\"30044160\"] \n  25 -> 27 [size =\"30044160\"]\n  26 [size=\"80087040\", alpha=\"0.18\", expect_size=\"32034816\"] \n  26 -> 27 [size =\"32034816\"]\n  26 -> 28 [size =\"32034816\"]\n  27 [size=\"44943360\", alpha=\"0.06\", expect_size=\"17977344\"] \n  27 -> 29 [size =\"17977344\"]\n  27 -> 30 [size =\"17977344\"]\n  28 [size=\"68006400\", alpha=\"0.09\", expect_size=\"27202560\"] \n  28 -> 29 [size =\"27202560\"]\n  28 -> 30 [size =\"27202560\"]\n  29 [size=\"82959360\", alpha=\"0.07\", expect_size=\"33183744\"] \n  30 [size=\"55098880\", alpha=\"0.08\", expect_size=\"22039552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174120960\", alpha=\"0.19\", expect_size=\"52236288\"] \n  1 -> 11 [size =\"52236288\"]\n  1 -> 12 [size =\"52236288\"]\n  1 -> 14 [size =\"52236288\"]\n  1 -> 15 [size =\"52236288\"]\n  1 -> 16 [size =\"52236288\"]\n  2 [size=\"29627733\", alpha=\"0.11\", expect_size=\"8888320\"] \n  2 -> 12 [size =\"8888320\"]\n  2 -> 12 [size =\"8888320\"]\n  2 -> 15 [size =\"8888320\"]\n  2 -> 16 [size =\"8888320\"]\n  2 -> 16 [size =\"8888320\"]\n  2 -> 17 [size =\"8888320\"]\n  2 -> 21 [size =\"8888320\"]\n  3 [size=\"148729173\", alpha=\"0.18\", expect_size=\"44618752\"] \n  3 -> 11 [size =\"44618752\"]\n  3 -> 12 [size =\"44618752\"]\n  3 -> 13 [size =\"44618752\"]\n  3 -> 17 [size =\"44618752\"]\n  3 -> 19 [size =\"44618752\"]\n  3 -> 21 [size =\"44618752\"]\n  3 -> 21 [size =\"44618752\"]\n  4 [size=\"58958507\", alpha=\"0.14\", expect_size=\"17687552\"] \n  4 -> 11 [size =\"17687552\"]\n  4 -> 12 [size =\"17687552\"]\n  4 -> 13 [size =\"17687552\"]\n  4 -> 15 [size =\"17687552\"]\n  5 [size=\"171851093\", alpha=\"0.06\", expect_size=\"51555328\"] \n  5 -> 11 [size =\"51555328\"]\n  5 -> 13 [size =\"51555328\"]\n  5 -> 13 [size =\"51555328\"]\n  5 -> 15 [size =\"51555328\"]\n  5 -> 19 [size =\"51555328\"]\n  5 -> 21 [size =\"51555328\"]\n  6 [size=\"143274667\", alpha=\"0.17\", expect_size=\"42982400\"] \n  6 -> 11 [size =\"42982400\"]\n  6 -> 12 [size =\"42982400\"]\n  6 -> 13 [size =\"42982400\"]\n  6 -> 15 [size =\"42982400\"]\n  6 -> 17 [size =\"42982400\"]\n  6 -> 19 [size =\"42982400\"]\n  6 -> 20 [size =\"42982400\"]\n  6 -> 21 [size =\"42982400\"]\n  7 [size=\"101246293\", alpha=\"0.11\", expect_size=\"30373888\"] \n  7 -> 11 [size =\"30373888\"]\n  7 -> 15 [size =\"30373888\"]\n  7 -> 18 [size =\"30373888\"]\n  7 -> 20 [size =\"30373888\"]\n  7 -> 21 [size =\"30373888\"]\n  8 [size=\"89224533\", alpha=\"0.05\", expect_size=\"26767360\"] \n  8 -> 11 [size =\"26767360\"]\n  8 -> 12 [size =\"26767360\"]\n  8 -> 13 [size =\"26767360\"]\n  8 -> 14 [size =\"26767360\"]\n  8 -> 16 [size =\"26767360\"]\n  8 -> 18 [size =\"26767360\"]\n  8 -> 20 [size =\"26767360\"]\n  9 [size=\"134758400\", alpha=\"0.00\", expect_size=\"40427520\"] \n  9 -> 11 [size =\"40427520\"]\n  9 -> 12 [size =\"40427520\"]\n  9 -> 16 [size =\"40427520\"]\n  9 -> 17 [size =\"40427520\"]\n  9 -> 19 [size =\"40427520\"]\n  9 -> 20 [size =\"40427520\"]\n  10 [size=\"60057600\", alpha=\"0.03\", expect_size=\"18017280\"] \n  10 -> 11 [size =\"18017280\"]\n  10 -> 12 [size =\"18017280\"]\n  10 -> 13 [size =\"18017280\"]\n  10 -> 16 [size =\"18017280\"]\n  11 [size=\"89200640\", alpha=\"0.15\", expect_size=\"26760192\"] \n  11 -> 23 [size =\"26760192\"]\n  11 -> 24 [size =\"26760192\"]\n  11 -> 25 [size =\"26760192\"]\n  11 -> 27 [size =\"26760192\"]\n  12 [size=\"81462613\", alpha=\"0.18\", expect_size=\"24438784\"] \n  12 -> 23 [size =\"24438784\"]\n  12 -> 24 [size =\"24438784\"]\n  12 -> 27 [size =\"24438784\"]\n  13 [size=\"170792960\", alpha=\"0.11\", expect_size=\"51237888\"] \n  13 -> 22 [size =\"51237888\"]\n  13 -> 23 [size =\"51237888\"]\n  13 -> 25 [size =\"51237888\"]\n  13 -> 27 [size =\"51237888\"]\n  14 [size=\"155105280\", alpha=\"0.09\", expect_size=\"46531584\"] \n  14 -> 22 [size =\"46531584\"]\n  14 -> 27 [size =\"46531584\"]\n  15 [size=\"104478720\", alpha=\"0.10\", expect_size=\"31343616\"] \n  15 -> 25 [size =\"31343616\"]\n  16 [size=\"150347093\", alpha=\"0.14\", expect_size=\"45104128\"] \n  16 -> 24 [size =\"45104128\"]\n  16 -> 25 [size =\"45104128\"]\n  16 -> 26 [size =\"45104128\"]\n  16 -> 27 [size =\"45104128\"]\n  17 [size=\"124798293\", alpha=\"0.14\", expect_size=\"37439488\"] \n  17 -> 24 [size =\"37439488\"]\n  17 -> 25 [size =\"37439488\"]\n  17 -> 27 [size =\"37439488\"]\n  18 [size=\"57108480\", alpha=\"0.03\", expect_size=\"17132544\"] \n  18 -> 22 [size =\"17132544\"]\n  18 -> 24 [size =\"17132544\"]\n  18 -> 25 [size =\"17132544\"]\n  18 -> 27 [size =\"17132544\"]\n  19 [size=\"93484373\", alpha=\"0.17\", expect_size=\"28045312\"] \n  19 -> 22 [size =\"28045312\"]\n  19 -> 25 [size =\"28045312\"]\n  19 -> 26 [size =\"28045312\"]\n  19 -> 27 [size =\"28045312\"]\n  20 [size=\"96628053\", alpha=\"0.05\", expect_size=\"28988416\"] \n  20 -> 23 [size =\"28988416\"]\n  20 -> 27 [size =\"28988416\"]\n  21 [size=\"116797440\", alpha=\"0.12\", expect_size=\"35039232\"] \n  21 -> 23 [size =\"35039232\"]\n  21 -> 24 [size =\"35039232\"]\n  21 -> 27 [size =\"35039232\"]\n  22 [size=\"76980907\", alpha=\"0.01\", expect_size=\"23094272\"] \n  22 -> 30 [size =\"23094272\"]\n  23 [size=\"61306880\", alpha=\"0.06\", expect_size=\"18392064\"] \n  24 [size=\"144360107\", alpha=\"0.17\", expect_size=\"43308032\"] \n  24 -> 29 [size =\"43308032\"]\n  24 -> 30 [size =\"43308032\"]\n  25 [size=\"53951147\", alpha=\"0.08\", expect_size=\"16185344\"] \n  25 -> 28 [size =\"16185344\"]\n  25 -> 29 [size =\"16185344\"]\n  25 -> 30 [size =\"16185344\"]\n  26 [size=\"129757867\", alpha=\"0.14\", expect_size=\"38927360\"] \n  26 -> 28 [size =\"38927360\"]\n  26 -> 30 [size =\"38927360\"]\n  26 -> 30 [size =\"38927360\"]\n  27 [size=\"79527253\", alpha=\"0.11\", expect_size=\"23858176\"] \n  27 -> 28 [size =\"23858176\"]\n  27 -> 29 [size =\"23858176\"]\n  27 -> 30 [size =\"23858176\"]\n  28 [size=\"36266667\", alpha=\"0.18\", expect_size=\"10880000\"] \n  29 [size=\"63051093\", alpha=\"0.19\", expect_size=\"18915328\"] \n  30 [size=\"41277440\", alpha=\"0.05\", expect_size=\"12383232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79888384\", alpha=\"0.09\", expect_size=\"39944192\"] \n  1 -> 5 [size =\"39944192\"]\n  2 [size=\"76587008\", alpha=\"0.08\", expect_size=\"38293504\"] \n  3 [size=\"19388416\", alpha=\"0.12\", expect_size=\"9694208\"] \n  3 -> 4 [size =\"9694208\"]\n  4 [size=\"26935296\", alpha=\"0.07\", expect_size=\"13467648\"] \n  4 -> 6 [size =\"13467648\"]\n  4 -> 7 [size =\"13467648\"]\n  5 [size=\"52137984\", alpha=\"0.16\", expect_size=\"26068992\"] \n  5 -> 6 [size =\"26068992\"]\n  5 -> 8 [size =\"26068992\"]\n  6 [size=\"59856896\", alpha=\"0.17\", expect_size=\"29928448\"] \n  6 -> 9 [size =\"29928448\"]\n  6 -> 12 [size =\"29928448\"]\n  7 [size=\"68554752\", alpha=\"0.06\", expect_size=\"34277376\"] \n  7 -> 9 [size =\"34277376\"]\n  7 -> 12 [size =\"34277376\"]\n  8 [size=\"33474560\", alpha=\"0.06\", expect_size=\"16737280\"] \n  8 -> 10 [size =\"16737280\"]\n  8 -> 11 [size =\"16737280\"]\n  9 [size=\"53458944\", alpha=\"0.04\", expect_size=\"26729472\"] \n  9 -> 15 [size =\"26729472\"]\n  9 -> 18 [size =\"26729472\"]\n  10 [size=\"58955776\", alpha=\"0.07\", expect_size=\"29477888\"] \n  10 -> 13 [size =\"29477888\"]\n  11 [size=\"83699712\", alpha=\"0.04\", expect_size=\"41849856\"] \n  11 -> 13 [size =\"41849856\"]\n  11 -> 14 [size =\"41849856\"]\n  11 -> 15 [size =\"41849856\"]\n  11 -> 17 [size =\"41849856\"]\n  11 -> 18 [size =\"41849856\"]\n  12 [size=\"31692800\", alpha=\"0.01\", expect_size=\"15846400\"] \n  12 -> 16 [size =\"15846400\"]\n  12 -> 17 [size =\"15846400\"]\n  13 [size=\"67323904\", alpha=\"0.08\", expect_size=\"33661952\"] \n  13 -> 20 [size =\"33661952\"]\n  14 [size=\"27897856\", alpha=\"0.11\", expect_size=\"13948928\"] \n  15 [size=\"59990016\", alpha=\"0.20\", expect_size=\"29995008\"] \n  16 [size=\"39507968\", alpha=\"0.08\", expect_size=\"19753984\"] \n  16 -> 19 [size =\"19753984\"]\n  17 [size=\"26392576\", alpha=\"0.06\", expect_size=\"13196288\"] \n  17 -> 19 [size =\"13196288\"]\n  18 [size=\"56107008\", alpha=\"0.10\", expect_size=\"28053504\"] \n  19 [size=\"86401024\", alpha=\"0.20\", expect_size=\"43200512\"] \n  19 -> 21 [size =\"43200512\"]\n  19 -> 23 [size =\"43200512\"]\n  19 -> 24 [size =\"43200512\"]\n  19 -> 25 [size =\"43200512\"]\n  20 [size=\"103837696\", alpha=\"0.03\", expect_size=\"51918848\"] \n  20 -> 21 [size =\"51918848\"]\n  20 -> 22 [size =\"51918848\"]\n  20 -> 23 [size =\"51918848\"]\n  20 -> 24 [size =\"51918848\"]\n  20 -> 25 [size =\"51918848\"]\n  21 [size=\"42668032\", alpha=\"0.01\", expect_size=\"21334016\"] \n  21 -> 28 [size =\"21334016\"]\n  22 [size=\"62015488\", alpha=\"0.13\", expect_size=\"31007744\"] \n  23 [size=\"68806656\", alpha=\"0.07\", expect_size=\"34403328\"] \n  23 -> 27 [size =\"34403328\"]\n  24 [size=\"13719552\", alpha=\"0.04\", expect_size=\"6859776\"] \n  24 -> 26 [size =\"6859776\"]\n  25 [size=\"64608256\", alpha=\"0.11\", expect_size=\"32304128\"] \n  26 [size=\"62404608\", alpha=\"0.07\", expect_size=\"31202304\"] \n  26 -> 29 [size =\"31202304\"]\n  27 [size=\"99237888\", alpha=\"0.16\", expect_size=\"49618944\"] \n  27 -> 29 [size =\"49618944\"]\n  27 -> 30 [size =\"49618944\"]\n  28 [size=\"35004416\", alpha=\"0.10\", expect_size=\"17502208\"] \n  28 -> 30 [size =\"17502208\"]\n  29 [size=\"81190912\", alpha=\"0.13\", expect_size=\"40595456\"] \n  30 [size=\"79669248\", alpha=\"0.06\", expect_size=\"39834624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132614827\", alpha=\"0.08\", expect_size=\"39784448\"] \n  1 -> 10 [size =\"39784448\"]\n  2 [size=\"57975467\", alpha=\"0.08\", expect_size=\"17392640\"] \n  2 -> 10 [size =\"17392640\"]\n  2 -> 12 [size =\"17392640\"]\n  2 -> 13 [size =\"17392640\"]\n  2 -> 14 [size =\"17392640\"]\n  2 -> 15 [size =\"17392640\"]\n  2 -> 16 [size =\"17392640\"]\n  2 -> 17 [size =\"17392640\"]\n  3 [size=\"154736640\", alpha=\"0.10\", expect_size=\"46420992\"] \n  3 -> 10 [size =\"46420992\"]\n  3 -> 12 [size =\"46420992\"]\n  3 -> 13 [size =\"46420992\"]\n  3 -> 14 [size =\"46420992\"]\n  3 -> 16 [size =\"46420992\"]\n  3 -> 17 [size =\"46420992\"]\n  4 [size=\"91617280\", alpha=\"0.10\", expect_size=\"27485184\"] \n  4 -> 12 [size =\"27485184\"]\n  4 -> 14 [size =\"27485184\"]\n  4 -> 17 [size =\"27485184\"]\n  5 [size=\"128962560\", alpha=\"0.11\", expect_size=\"38688768\"] \n  5 -> 10 [size =\"38688768\"]\n  5 -> 11 [size =\"38688768\"]\n  5 -> 12 [size =\"38688768\"]\n  5 -> 13 [size =\"38688768\"]\n  6 [size=\"166656000\", alpha=\"0.01\", expect_size=\"49996800\"] \n  6 -> 11 [size =\"49996800\"]\n  6 -> 12 [size =\"49996800\"]\n  6 -> 12 [size =\"49996800\"]\n  6 -> 13 [size =\"49996800\"]\n  6 -> 15 [size =\"49996800\"]\n  6 -> 17 [size =\"49996800\"]\n  7 [size=\"150476800\", alpha=\"0.10\", expect_size=\"45143040\"] \n  7 -> 10 [size =\"45143040\"]\n  7 -> 11 [size =\"45143040\"]\n  7 -> 13 [size =\"45143040\"]\n  7 -> 17 [size =\"45143040\"]\n  8 [size=\"76561067\", alpha=\"0.00\", expect_size=\"22968320\"] \n  8 -> 13 [size =\"22968320\"]\n  8 -> 14 [size =\"22968320\"]\n  8 -> 16 [size =\"22968320\"]\n  9 [size=\"36130133\", alpha=\"0.20\", expect_size=\"10839040\"] \n  9 -> 10 [size =\"10839040\"]\n  9 -> 14 [size =\"10839040\"]\n  10 [size=\"108335787\", alpha=\"0.06\", expect_size=\"32500736\"] \n  10 -> 18 [size =\"32500736\"]\n  10 -> 22 [size =\"32500736\"]\n  10 -> 23 [size =\"32500736\"]\n  10 -> 24 [size =\"32500736\"]\n  11 [size=\"24374613\", alpha=\"0.06\", expect_size=\"7312384\"] \n  11 -> 19 [size =\"7312384\"]\n  11 -> 21 [size =\"7312384\"]\n  11 -> 23 [size =\"7312384\"]\n  11 -> 24 [size =\"7312384\"]\n  12 [size=\"86558720\", alpha=\"0.04\", expect_size=\"25967616\"] \n  12 -> 20 [size =\"25967616\"]\n  12 -> 21 [size =\"25967616\"]\n  12 -> 25 [size =\"25967616\"]\n  13 [size=\"150586027\", alpha=\"0.19\", expect_size=\"45175808\"] \n  14 [size=\"72857600\", alpha=\"0.06\", expect_size=\"21857280\"] \n  15 [size=\"154152960\", alpha=\"0.18\", expect_size=\"46245888\"] \n  15 -> 22 [size =\"46245888\"]\n  16 [size=\"85681493\", alpha=\"0.18\", expect_size=\"25704448\"] \n  16 -> 22 [size =\"25704448\"]\n  17 [size=\"94245547\", alpha=\"0.09\", expect_size=\"28273664\"] \n  17 -> 22 [size =\"28273664\"]\n  17 -> 23 [size =\"28273664\"]\n  17 -> 24 [size =\"28273664\"]\n  18 [size=\"170960213\", alpha=\"0.04\", expect_size=\"51288064\"] \n  18 -> 28 [size =\"51288064\"]\n  18 -> 30 [size =\"51288064\"]\n  19 [size=\"172929707\", alpha=\"0.03\", expect_size=\"51878912\"] \n  19 -> 26 [size =\"51878912\"]\n  19 -> 28 [size =\"51878912\"]\n  20 [size=\"170202453\", alpha=\"0.09\", expect_size=\"51060736\"] \n  20 -> 26 [size =\"51060736\"]\n  20 -> 30 [size =\"51060736\"]\n  21 [size=\"60197547\", alpha=\"0.09\", expect_size=\"18059264\"] \n  21 -> 28 [size =\"18059264\"]\n  21 -> 29 [size =\"18059264\"]\n  21 -> 30 [size =\"18059264\"]\n  22 [size=\"107598507\", alpha=\"0.14\", expect_size=\"32279552\"] \n  22 -> 27 [size =\"32279552\"]\n  22 -> 29 [size =\"32279552\"]\n  22 -> 30 [size =\"32279552\"]\n  23 [size=\"135195307\", alpha=\"0.17\", expect_size=\"40558592\"] \n  23 -> 27 [size =\"40558592\"]\n  23 -> 29 [size =\"40558592\"]\n  23 -> 30 [size =\"40558592\"]\n  24 [size=\"127201280\", alpha=\"0.09\", expect_size=\"38160384\"] \n  24 -> 26 [size =\"38160384\"]\n  24 -> 27 [size =\"38160384\"]\n  24 -> 28 [size =\"38160384\"]\n  24 -> 30 [size =\"38160384\"]\n  25 [size=\"18821120\", alpha=\"0.16\", expect_size=\"5646336\"] \n  25 -> 27 [size =\"5646336\"]\n  25 -> 27 [size =\"5646336\"]\n  25 -> 28 [size =\"5646336\"]\n  26 [size=\"163952640\", alpha=\"0.01\", expect_size=\"49185792\"] \n  27 [size=\"149575680\", alpha=\"0.03\", expect_size=\"44872704\"] \n  28 [size=\"60685653\", alpha=\"0.13\", expect_size=\"18205696\"] \n  29 [size=\"94743893\", alpha=\"0.05\", expect_size=\"28423168\"] \n  30 [size=\"119958187\", alpha=\"0.09\", expect_size=\"35987456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83667627\", alpha=\"0.12\", expect_size=\"25100288\"] \n  1 -> 25 [size =\"25100288\"]\n  2 [size=\"86664533\", alpha=\"0.17\", expect_size=\"25999360\"] \n  2 -> 27 [size =\"25999360\"]\n  2 -> 28 [size =\"25999360\"]\n  3 [size=\"93351253\", alpha=\"0.18\", expect_size=\"28005376\"] \n  3 -> 24 [size =\"28005376\"]\n  3 -> 27 [size =\"28005376\"]\n  3 -> 28 [size =\"28005376\"]\n  3 -> 30 [size =\"28005376\"]\n  4 [size=\"111001600\", alpha=\"0.11\", expect_size=\"33300480\"] \n  4 -> 24 [size =\"33300480\"]\n  4 -> 27 [size =\"33300480\"]\n  4 -> 30 [size =\"33300480\"]\n  5 [size=\"149903360\", alpha=\"0.01\", expect_size=\"44971008\"] \n  5 -> 26 [size =\"44971008\"]\n  5 -> 27 [size =\"44971008\"]\n  6 [size=\"39034880\", alpha=\"0.05\", expect_size=\"11710464\"] \n  6 -> 25 [size =\"11710464\"]\n  6 -> 26 [size =\"11710464\"]\n  6 -> 27 [size =\"11710464\"]\n  6 -> 28 [size =\"11710464\"]\n  7 [size=\"116101120\", alpha=\"0.15\", expect_size=\"34830336\"] \n  7 -> 25 [size =\"34830336\"]\n  7 -> 26 [size =\"34830336\"]\n  7 -> 28 [size =\"34830336\"]\n  7 -> 30 [size =\"34830336\"]\n  8 [size=\"59101867\", alpha=\"0.16\", expect_size=\"17730560\"] \n  8 -> 24 [size =\"17730560\"]\n  8 -> 25 [size =\"17730560\"]\n  8 -> 26 [size =\"17730560\"]\n  8 -> 28 [size =\"17730560\"]\n  8 -> 29 [size =\"17730560\"]\n  9 [size=\"48438613\", alpha=\"0.06\", expect_size=\"14531584\"] \n  9 -> 25 [size =\"14531584\"]\n  9 -> 26 [size =\"14531584\"]\n  9 -> 29 [size =\"14531584\"]\n  9 -> 30 [size =\"14531584\"]\n  10 [size=\"27917653\", alpha=\"0.19\", expect_size=\"8375296\"] \n  10 -> 24 [size =\"8375296\"]\n  10 -> 26 [size =\"8375296\"]\n  10 -> 27 [size =\"8375296\"]\n  10 -> 29 [size =\"8375296\"]\n  11 [size=\"131345067\", alpha=\"0.11\", expect_size=\"39403520\"] \n  11 -> 26 [size =\"39403520\"]\n  11 -> 27 [size =\"39403520\"]\n  11 -> 28 [size =\"39403520\"]\n  12 [size=\"68229120\", alpha=\"0.04\", expect_size=\"20468736\"] \n  12 -> 24 [size =\"20468736\"]\n  12 -> 25 [size =\"20468736\"]\n  12 -> 26 [size =\"20468736\"]\n  13 [size=\"43950080\", alpha=\"0.15\", expect_size=\"13185024\"] \n  13 -> 24 [size =\"13185024\"]\n  13 -> 25 [size =\"13185024\"]\n  13 -> 29 [size =\"13185024\"]\n  14 [size=\"26494293\", alpha=\"0.01\", expect_size=\"7948288\"] \n  14 -> 24 [size =\"7948288\"]\n  14 -> 25 [size =\"7948288\"]\n  14 -> 28 [size =\"7948288\"]\n  14 -> 29 [size =\"7948288\"]\n  15 [size=\"116363947\", alpha=\"0.09\", expect_size=\"34909184\"] \n  15 -> 24 [size =\"34909184\"]\n  15 -> 25 [size =\"34909184\"]\n  15 -> 28 [size =\"34909184\"]\n  15 -> 29 [size =\"34909184\"]\n  16 [size=\"126948693\", alpha=\"0.18\", expect_size=\"38084608\"] \n  16 -> 24 [size =\"38084608\"]\n  16 -> 25 [size =\"38084608\"]\n  16 -> 30 [size =\"38084608\"]\n  17 [size=\"168772267\", alpha=\"0.01\", expect_size=\"50631680\"] \n  17 -> 24 [size =\"50631680\"]\n  17 -> 27 [size =\"50631680\"]\n  18 [size=\"128358400\", alpha=\"0.10\", expect_size=\"38507520\"] \n  18 -> 26 [size =\"38507520\"]\n  18 -> 27 [size =\"38507520\"]\n  18 -> 29 [size =\"38507520\"]\n  19 [size=\"100628480\", alpha=\"0.08\", expect_size=\"30188544\"] \n  19 -> 26 [size =\"30188544\"]\n  19 -> 27 [size =\"30188544\"]\n  19 -> 28 [size =\"30188544\"]\n  20 [size=\"146257920\", alpha=\"0.12\", expect_size=\"43877376\"] \n  20 -> 25 [size =\"43877376\"]\n  20 -> 26 [size =\"43877376\"]\n  20 -> 27 [size =\"43877376\"]\n  21 [size=\"140308480\", alpha=\"0.04\", expect_size=\"42092544\"] \n  21 -> 25 [size =\"42092544\"]\n  21 -> 28 [size =\"42092544\"]\n  22 [size=\"71741440\", alpha=\"0.05\", expect_size=\"21522432\"] \n  22 -> 25 [size =\"21522432\"]\n  22 -> 27 [size =\"21522432\"]\n  22 -> 28 [size =\"21522432\"]\n  23 [size=\"99423573\", alpha=\"0.16\", expect_size=\"29827072\"] \n  23 -> 25 [size =\"29827072\"]\n  23 -> 26 [size =\"29827072\"]\n  23 -> 27 [size =\"29827072\"]\n  23 -> 28 [size =\"29827072\"]\n  23 -> 29 [size =\"29827072\"]\n  24 [size=\"59453440\", alpha=\"0.19\", expect_size=\"17836032\"] \n  25 [size=\"66785280\", alpha=\"0.18\", expect_size=\"20035584\"] \n  26 [size=\"141291520\", alpha=\"0.00\", expect_size=\"42387456\"] \n  27 [size=\"127815680\", alpha=\"0.15\", expect_size=\"38344704\"] \n  28 [size=\"138065920\", alpha=\"0.15\", expect_size=\"41419776\"] \n  29 [size=\"59156480\", alpha=\"0.19\", expect_size=\"17746944\"] \n  30 [size=\"119876267\", alpha=\"0.05\", expect_size=\"35962880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65571840\", alpha=\"0.05\", expect_size=\"26228736\"] \n  1 -> 5 [size =\"26228736\"]\n  1 -> 6 [size =\"26228736\"]\n  1 -> 7 [size =\"26228736\"]\n  2 [size=\"121507840\", alpha=\"0.12\", expect_size=\"48603136\"] \n  2 -> 6 [size =\"48603136\"]\n  3 [size=\"94292480\", alpha=\"0.07\", expect_size=\"37716992\"] \n  3 -> 5 [size =\"37716992\"]\n  3 -> 6 [size =\"37716992\"]\n  3 -> 7 [size =\"37716992\"]\n  3 -> 8 [size =\"37716992\"]\n  4 [size=\"124771840\", alpha=\"0.17\", expect_size=\"49908736\"] \n  4 -> 5 [size =\"49908736\"]\n  4 -> 6 [size =\"49908736\"]\n  5 [size=\"25973760\", alpha=\"0.16\", expect_size=\"10389504\"] \n  5 -> 10 [size =\"10389504\"]\n  6 [size=\"92413440\", alpha=\"0.08\", expect_size=\"36965376\"] \n  6 -> 10 [size =\"36965376\"]\n  7 [size=\"49779200\", alpha=\"0.16\", expect_size=\"19911680\"] \n  7 -> 9 [size =\"19911680\"]\n  7 -> 10 [size =\"19911680\"]\n  8 [size=\"73223680\", alpha=\"0.19\", expect_size=\"29289472\"] \n  8 -> 9 [size =\"29289472\"]\n  8 -> 10 [size =\"29289472\"]\n  9 [size=\"119925760\", alpha=\"0.00\", expect_size=\"47970304\"] \n  9 -> 11 [size =\"47970304\"]\n  9 -> 12 [size =\"47970304\"]\n  9 -> 13 [size =\"47970304\"]\n  9 -> 14 [size =\"47970304\"]\n  9 -> 15 [size =\"47970304\"]\n  10 [size=\"90498560\", alpha=\"0.08\", expect_size=\"36199424\"] \n  10 -> 11 [size =\"36199424\"]\n  10 -> 12 [size =\"36199424\"]\n  10 -> 13 [size =\"36199424\"]\n  10 -> 14 [size =\"36199424\"]\n  10 -> 16 [size =\"36199424\"]\n  11 [size=\"72104960\", alpha=\"0.20\", expect_size=\"28841984\"] \n  11 -> 17 [size =\"28841984\"]\n  11 -> 18 [size =\"28841984\"]\n  11 -> 19 [size =\"28841984\"]\n  11 -> 20 [size =\"28841984\"]\n  12 [size=\"101747200\", alpha=\"0.09\", expect_size=\"40698880\"] \n  12 -> 18 [size =\"40698880\"]\n  12 -> 20 [size =\"40698880\"]\n  12 -> 22 [size =\"40698880\"]\n  13 [size=\"56650240\", alpha=\"0.05\", expect_size=\"22660096\"] \n  13 -> 17 [size =\"22660096\"]\n  13 -> 18 [size =\"22660096\"]\n  13 -> 20 [size =\"22660096\"]\n  13 -> 22 [size =\"22660096\"]\n  14 [size=\"99525120\", alpha=\"0.19\", expect_size=\"39810048\"] \n  14 -> 17 [size =\"39810048\"]\n  14 -> 20 [size =\"39810048\"]\n  14 -> 21 [size =\"39810048\"]\n  14 -> 22 [size =\"39810048\"]\n  14 -> 23 [size =\"39810048\"]\n  15 [size=\"81530880\", alpha=\"0.05\", expect_size=\"32612352\"] \n  15 -> 17 [size =\"32612352\"]\n  15 -> 18 [size =\"32612352\"]\n  15 -> 19 [size =\"32612352\"]\n  15 -> 22 [size =\"32612352\"]\n  15 -> 23 [size =\"32612352\"]\n  16 [size=\"56000000\", alpha=\"0.15\", expect_size=\"22400000\"] \n  16 -> 20 [size =\"22400000\"]\n  17 [size=\"105669120\", alpha=\"0.08\", expect_size=\"42267648\"] \n  17 -> 25 [size =\"42267648\"]\n  17 -> 27 [size =\"42267648\"]\n  18 [size=\"83586560\", alpha=\"0.13\", expect_size=\"33434624\"] \n  18 -> 24 [size =\"33434624\"]\n  18 -> 25 [size =\"33434624\"]\n  18 -> 26 [size =\"33434624\"]\n  18 -> 27 [size =\"33434624\"]\n  19 [size=\"79938560\", alpha=\"0.07\", expect_size=\"31975424\"] \n  19 -> 27 [size =\"31975424\"]\n  20 [size=\"80222720\", alpha=\"0.01\", expect_size=\"32089088\"] \n  20 -> 26 [size =\"32089088\"]\n  20 -> 27 [size =\"32089088\"]\n  21 [size=\"126512640\", alpha=\"0.04\", expect_size=\"50605056\"] \n  21 -> 25 [size =\"50605056\"]\n  21 -> 26 [size =\"50605056\"]\n  21 -> 27 [size =\"50605056\"]\n  22 [size=\"126008320\", alpha=\"0.05\", expect_size=\"50403328\"] \n  22 -> 25 [size =\"50403328\"]\n  23 [size=\"58283520\", alpha=\"0.20\", expect_size=\"23313408\"] \n  24 [size=\"89530880\", alpha=\"0.13\", expect_size=\"35812352\"] \n  24 -> 28 [size =\"35812352\"]\n  24 -> 30 [size =\"35812352\"]\n  25 [size=\"83261440\", alpha=\"0.09\", expect_size=\"33304576\"] \n  25 -> 28 [size =\"33304576\"]\n  25 -> 30 [size =\"33304576\"]\n  26 [size=\"111336960\", alpha=\"0.19\", expect_size=\"44534784\"] \n  26 -> 28 [size =\"44534784\"]\n  26 -> 29 [size =\"44534784\"]\n  27 [size=\"83955200\", alpha=\"0.14\", expect_size=\"33582080\"] \n  27 -> 28 [size =\"33582080\"]\n  27 -> 29 [size =\"33582080\"]\n  27 -> 30 [size =\"33582080\"]\n  28 [size=\"14535680\", alpha=\"0.00\", expect_size=\"5814272\"] \n  29 [size=\"89804800\", alpha=\"0.04\", expect_size=\"35921920\"] \n  30 [size=\"13660160\", alpha=\"0.01\", expect_size=\"5464064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70148096\", alpha=\"0.17\", expect_size=\"35074048\"] \n  1 -> 22 [size =\"35074048\"]\n  2 [size=\"88240128\", alpha=\"0.01\", expect_size=\"44120064\"] \n  2 -> 25 [size =\"44120064\"]\n  2 -> 30 [size =\"44120064\"]\n  3 [size=\"77023232\", alpha=\"0.09\", expect_size=\"38511616\"] \n  3 -> 22 [size =\"38511616\"]\n  3 -> 23 [size =\"38511616\"]\n  3 -> 27 [size =\"38511616\"]\n  4 [size=\"80588800\", alpha=\"0.16\", expect_size=\"40294400\"] \n  4 -> 24 [size =\"40294400\"]\n  5 [size=\"86822912\", alpha=\"0.16\", expect_size=\"43411456\"] \n  5 -> 24 [size =\"43411456\"]\n  5 -> 29 [size =\"43411456\"]\n  6 [size=\"28841984\", alpha=\"0.18\", expect_size=\"14420992\"] \n  6 -> 23 [size =\"14420992\"]\n  6 -> 28 [size =\"14420992\"]\n  7 [size=\"96991232\", alpha=\"0.11\", expect_size=\"48495616\"] \n  7 -> 28 [size =\"48495616\"]\n  7 -> 28 [size =\"48495616\"]\n  7 -> 29 [size =\"48495616\"]\n  8 [size=\"81174528\", alpha=\"0.05\", expect_size=\"40587264\"] \n  8 -> 24 [size =\"40587264\"]\n  8 -> 26 [size =\"40587264\"]\n  8 -> 29 [size =\"40587264\"]\n  9 [size=\"13836288\", alpha=\"0.13\", expect_size=\"6918144\"] \n  9 -> 27 [size =\"6918144\"]\n  9 -> 29 [size =\"6918144\"]\n  10 [size=\"87963648\", alpha=\"0.05\", expect_size=\"43981824\"] \n  10 -> 27 [size =\"43981824\"]\n  11 [size=\"69984256\", alpha=\"0.03\", expect_size=\"34992128\"] \n  11 -> 28 [size =\"34992128\"]\n  11 -> 29 [size =\"34992128\"]\n  12 [size=\"54360064\", alpha=\"0.04\", expect_size=\"27180032\"] \n  12 -> 24 [size =\"27180032\"]\n  12 -> 29 [size =\"27180032\"]\n  13 [size=\"56754176\", alpha=\"0.02\", expect_size=\"28377088\"] \n  13 -> 24 [size =\"28377088\"]\n  13 -> 27 [size =\"28377088\"]\n  13 -> 29 [size =\"28377088\"]\n  14 [size=\"97015808\", alpha=\"0.11\", expect_size=\"48507904\"] \n  14 -> 24 [size =\"48507904\"]\n  14 -> 28 [size =\"48507904\"]\n  15 [size=\"76103680\", alpha=\"0.16\", expect_size=\"38051840\"] \n  15 -> 28 [size =\"38051840\"]\n  15 -> 29 [size =\"38051840\"]\n  16 [size=\"56657920\", alpha=\"0.00\", expect_size=\"28328960\"] \n  16 -> 27 [size =\"28328960\"]\n  16 -> 29 [size =\"28328960\"]\n  17 [size=\"48535552\", alpha=\"0.18\", expect_size=\"24267776\"] \n  17 -> 26 [size =\"24267776\"]\n  17 -> 27 [size =\"24267776\"]\n  17 -> 29 [size =\"24267776\"]\n  18 [size=\"100970496\", alpha=\"0.05\", expect_size=\"50485248\"] \n  18 -> 24 [size =\"50485248\"]\n  19 [size=\"29532160\", alpha=\"0.08\", expect_size=\"14766080\"] \n  19 -> 22 [size =\"14766080\"]\n  19 -> 24 [size =\"14766080\"]\n  19 -> 26 [size =\"14766080\"]\n  19 -> 28 [size =\"14766080\"]\n  19 -> 30 [size =\"14766080\"]\n  20 [size=\"92129280\", alpha=\"0.02\", expect_size=\"46064640\"] \n  20 -> 22 [size =\"46064640\"]\n  20 -> 23 [size =\"46064640\"]\n  21 [size=\"23246848\", alpha=\"0.08\", expect_size=\"11623424\"] \n  21 -> 24 [size =\"11623424\"]\n  22 [size=\"37771264\", alpha=\"0.10\", expect_size=\"18885632\"] \n  23 [size=\"57755648\", alpha=\"0.07\", expect_size=\"28877824\"] \n  24 [size=\"69328896\", alpha=\"0.18\", expect_size=\"34664448\"] \n  25 [size=\"25104384\", alpha=\"0.06\", expect_size=\"12552192\"] \n  26 [size=\"100638720\", alpha=\"0.18\", expect_size=\"50319360\"] \n  27 [size=\"102342656\", alpha=\"0.07\", expect_size=\"51171328\"] \n  28 [size=\"92041216\", alpha=\"0.12\", expect_size=\"46020608\"] \n  29 [size=\"21094400\", alpha=\"0.18\", expect_size=\"10547200\"] \n  30 [size=\"61179904\", alpha=\"0.20\", expect_size=\"30589952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78681600\", alpha=\"0.09\", expect_size=\"31472640\"] \n  2 [size=\"129226240\", alpha=\"0.14\", expect_size=\"51690496\"] \n  2 -> 3 [size =\"51690496\"]\n  3 [size=\"124741120\", alpha=\"0.07\", expect_size=\"49896448\"] \n  3 -> 4 [size =\"49896448\"]\n  4 [size=\"123724800\", alpha=\"0.03\", expect_size=\"49489920\"] \n  4 -> 5 [size =\"49489920\"]\n  4 -> 6 [size =\"49489920\"]\n  5 [size=\"21434880\", alpha=\"0.14\", expect_size=\"8573952\"] \n  5 -> 7 [size =\"8573952\"]\n  6 [size=\"44925440\", alpha=\"0.19\", expect_size=\"17970176\"] \n  6 -> 7 [size =\"17970176\"]\n  7 [size=\"58058240\", alpha=\"0.11\", expect_size=\"23223296\"] \n  7 -> 8 [size =\"23223296\"]\n  7 -> 9 [size =\"23223296\"]\n  8 [size=\"51054080\", alpha=\"0.15\", expect_size=\"20421632\"] \n  8 -> 10 [size =\"20421632\"]\n  9 [size=\"36431360\", alpha=\"0.18\", expect_size=\"14572544\"] \n  10 [size=\"113123840\", alpha=\"0.00\", expect_size=\"45249536\"] \n  10 -> 11 [size =\"45249536\"]\n  11 [size=\"81185280\", alpha=\"0.20\", expect_size=\"32474112\"] \n  11 -> 12 [size =\"32474112\"]\n  11 -> 13 [size =\"32474112\"]\n  12 [size=\"16473600\", alpha=\"0.16\", expect_size=\"6589440\"] \n  12 -> 14 [size =\"6589440\"]\n  13 [size=\"97881600\", alpha=\"0.17\", expect_size=\"39152640\"] \n  13 -> 14 [size =\"39152640\"]\n  13 -> 15 [size =\"39152640\"]\n  14 [size=\"19422720\", alpha=\"0.05\", expect_size=\"7769088\"] \n  14 -> 16 [size =\"7769088\"]\n  14 -> 17 [size =\"7769088\"]\n  15 [size=\"37844480\", alpha=\"0.18\", expect_size=\"15137792\"] \n  15 -> 16 [size =\"15137792\"]\n  16 [size=\"117777920\", alpha=\"0.06\", expect_size=\"47111168\"] \n  16 -> 18 [size =\"47111168\"]\n  17 [size=\"112424960\", alpha=\"0.10\", expect_size=\"44969984\"] \n  17 -> 18 [size =\"44969984\"]\n  18 [size=\"57167360\", alpha=\"0.15\", expect_size=\"22866944\"] \n  18 -> 19 [size =\"22866944\"]\n  19 [size=\"26406400\", alpha=\"0.06\", expect_size=\"10562560\"] \n  19 -> 20 [size =\"10562560\"]\n  19 -> 21 [size =\"10562560\"]\n  20 [size=\"17361920\", alpha=\"0.12\", expect_size=\"6944768\"] \n  20 -> 22 [size =\"6944768\"]\n  21 [size=\"20055040\", alpha=\"0.09\", expect_size=\"8022016\"] \n  21 -> 22 [size =\"8022016\"]\n  22 [size=\"19921920\", alpha=\"0.05\", expect_size=\"7968768\"] \n  22 -> 23 [size =\"7968768\"]\n  23 [size=\"115420160\", alpha=\"0.00\", expect_size=\"46168064\"] \n  23 -> 24 [size =\"46168064\"]\n  23 -> 25 [size =\"46168064\"]\n  24 [size=\"100124160\", alpha=\"0.14\", expect_size=\"40049664\"] \n  24 -> 26 [size =\"40049664\"]\n  24 -> 27 [size =\"40049664\"]\n  25 [size=\"13196800\", alpha=\"0.10\", expect_size=\"5278720\"] \n  25 -> 27 [size =\"5278720\"]\n  26 [size=\"118420480\", alpha=\"0.11\", expect_size=\"47368192\"] \n  27 [size=\"34037760\", alpha=\"0.19\", expect_size=\"13615104\"] \n  27 -> 28 [size =\"13615104\"]\n  28 [size=\"91988480\", alpha=\"0.14\", expect_size=\"36795392\"] \n  28 -> 29 [size =\"36795392\"]\n  28 -> 30 [size =\"36795392\"]\n  29 [size=\"63879680\", alpha=\"0.13\", expect_size=\"25551872\"] \n  30 [size=\"101726720\", alpha=\"0.09\", expect_size=\"40690688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23861248\", alpha=\"0.11\", expect_size=\"11930624\"] \n  1 -> 2 [size =\"11930624\"]\n  2 [size=\"103598080\", alpha=\"0.12\", expect_size=\"51799040\"] \n  2 -> 3 [size =\"51799040\"]\n  3 [size=\"29030400\", alpha=\"0.07\", expect_size=\"14515200\"] \n  3 -> 4 [size =\"14515200\"]\n  4 [size=\"22446080\", alpha=\"0.16\", expect_size=\"11223040\"] \n  4 -> 5 [size =\"11223040\"]\n  5 [size=\"59662336\", alpha=\"0.16\", expect_size=\"29831168\"] \n  5 -> 6 [size =\"29831168\"]\n  6 [size=\"86091776\", alpha=\"0.06\", expect_size=\"43045888\"] \n  6 -> 7 [size =\"43045888\"]\n  7 [size=\"63184896\", alpha=\"0.08\", expect_size=\"31592448\"] \n  7 -> 8 [size =\"31592448\"]\n  8 [size=\"83275776\", alpha=\"0.05\", expect_size=\"41637888\"] \n  8 -> 9 [size =\"41637888\"]\n  9 [size=\"11702272\", alpha=\"0.18\", expect_size=\"5851136\"] \n  9 -> 10 [size =\"5851136\"]\n  10 [size=\"47947776\", alpha=\"0.19\", expect_size=\"23973888\"] \n  10 -> 11 [size =\"23973888\"]\n  11 [size=\"103385088\", alpha=\"0.01\", expect_size=\"51692544\"] \n  11 -> 12 [size =\"51692544\"]\n  12 [size=\"61016064\", alpha=\"0.06\", expect_size=\"30508032\"] \n  12 -> 13 [size =\"30508032\"]\n  13 [size=\"25499648\", alpha=\"0.01\", expect_size=\"12749824\"] \n  13 -> 14 [size =\"12749824\"]\n  14 [size=\"56776704\", alpha=\"0.10\", expect_size=\"28388352\"] \n  14 -> 15 [size =\"28388352\"]\n  15 [size=\"37761024\", alpha=\"0.11\", expect_size=\"18880512\"] \n  15 -> 16 [size =\"18880512\"]\n  16 [size=\"17651712\", alpha=\"0.03\", expect_size=\"8825856\"] \n  16 -> 17 [size =\"8825856\"]\n  17 [size=\"46964736\", alpha=\"0.16\", expect_size=\"23482368\"] \n  17 -> 18 [size =\"23482368\"]\n  18 [size=\"82419712\", alpha=\"0.10\", expect_size=\"41209856\"] \n  18 -> 19 [size =\"41209856\"]\n  19 [size=\"11345920\", alpha=\"0.20\", expect_size=\"5672960\"] \n  19 -> 20 [size =\"5672960\"]\n  20 [size=\"97421312\", alpha=\"0.19\", expect_size=\"48710656\"] \n  20 -> 21 [size =\"48710656\"]\n  21 [size=\"92813312\", alpha=\"0.01\", expect_size=\"46406656\"] \n  21 -> 22 [size =\"46406656\"]\n  22 [size=\"95768576\", alpha=\"0.03\", expect_size=\"47884288\"] \n  22 -> 23 [size =\"47884288\"]\n  23 [size=\"27506688\", alpha=\"0.09\", expect_size=\"13753344\"] \n  23 -> 24 [size =\"13753344\"]\n  24 [size=\"29876224\", alpha=\"0.17\", expect_size=\"14938112\"] \n  24 -> 25 [size =\"14938112\"]\n  25 [size=\"79384576\", alpha=\"0.16\", expect_size=\"39692288\"] \n  25 -> 26 [size =\"39692288\"]\n  26 [size=\"35979264\", alpha=\"0.10\", expect_size=\"17989632\"] \n  26 -> 27 [size =\"17989632\"]\n  27 [size=\"51601408\", alpha=\"0.16\", expect_size=\"25800704\"] \n  27 -> 28 [size =\"25800704\"]\n  28 [size=\"31301632\", alpha=\"0.17\", expect_size=\"15650816\"] \n  28 -> 29 [size =\"15650816\"]\n  29 [size=\"78340096\", alpha=\"0.19\", expect_size=\"39170048\"] \n  29 -> 30 [size =\"39170048\"]\n  30 [size=\"77717504\", alpha=\"0.08\", expect_size=\"38858752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94181376\", alpha=\"0.14\", expect_size=\"47090688\"] \n  1 -> 3 [size =\"47090688\"]\n  1 -> 4 [size =\"47090688\"]\n  2 [size=\"83613696\", alpha=\"0.05\", expect_size=\"41806848\"] \n  3 [size=\"69173248\", alpha=\"0.17\", expect_size=\"34586624\"] \n  4 [size=\"78637056\", alpha=\"0.17\", expect_size=\"39318528\"] \n  4 -> 5 [size =\"39318528\"]\n  5 [size=\"55775232\", alpha=\"0.06\", expect_size=\"27887616\"] \n  5 -> 6 [size =\"27887616\"]\n  5 -> 7 [size =\"27887616\"]\n  6 [size=\"37398528\", alpha=\"0.09\", expect_size=\"18699264\"] \n  6 -> 9 [size =\"18699264\"]\n  7 [size=\"58632192\", alpha=\"0.00\", expect_size=\"29316096\"] \n  7 -> 8 [size =\"29316096\"]\n  8 [size=\"98281472\", alpha=\"0.14\", expect_size=\"49140736\"] \n  9 [size=\"81119232\", alpha=\"0.10\", expect_size=\"40559616\"] \n  9 -> 10 [size =\"40559616\"]\n  10 [size=\"83828736\", alpha=\"0.15\", expect_size=\"41914368\"] \n  10 -> 11 [size =\"41914368\"]\n  11 [size=\"72464384\", alpha=\"0.12\", expect_size=\"36232192\"] \n  11 -> 12 [size =\"36232192\"]\n  11 -> 13 [size =\"36232192\"]\n  12 [size=\"44292096\", alpha=\"0.02\", expect_size=\"22146048\"] \n  12 -> 14 [size =\"22146048\"]\n  12 -> 15 [size =\"22146048\"]\n  13 [size=\"66854912\", alpha=\"0.18\", expect_size=\"33427456\"] \n  14 [size=\"53125120\", alpha=\"0.02\", expect_size=\"26562560\"] \n  15 [size=\"40916992\", alpha=\"0.02\", expect_size=\"20458496\"] \n  15 -> 16 [size =\"20458496\"]\n  16 [size=\"71077888\", alpha=\"0.01\", expect_size=\"35538944\"] \n  16 -> 17 [size =\"35538944\"]\n  17 [size=\"21016576\", alpha=\"0.15\", expect_size=\"10508288\"] \n  17 -> 18 [size =\"10508288\"]\n  17 -> 19 [size =\"10508288\"]\n  18 [size=\"21846016\", alpha=\"0.20\", expect_size=\"10923008\"] \n  19 [size=\"90220544\", alpha=\"0.16\", expect_size=\"45110272\"] \n  19 -> 20 [size =\"45110272\"]\n  19 -> 21 [size =\"45110272\"]\n  20 [size=\"41598976\", alpha=\"0.10\", expect_size=\"20799488\"] \n  21 [size=\"19611648\", alpha=\"0.01\", expect_size=\"9805824\"] \n  21 -> 22 [size =\"9805824\"]\n  21 -> 23 [size =\"9805824\"]\n  22 [size=\"78147584\", alpha=\"0.08\", expect_size=\"39073792\"] \n  22 -> 25 [size =\"39073792\"]\n  23 [size=\"87480320\", alpha=\"0.08\", expect_size=\"43740160\"] \n  23 -> 24 [size =\"43740160\"]\n  24 [size=\"77694976\", alpha=\"0.02\", expect_size=\"38847488\"] \n  24 -> 26 [size =\"38847488\"]\n  25 [size=\"87527424\", alpha=\"0.05\", expect_size=\"43763712\"] \n  26 [size=\"97017856\", alpha=\"0.15\", expect_size=\"48508928\"] \n  26 -> 27 [size =\"48508928\"]\n  26 -> 28 [size =\"48508928\"]\n  27 [size=\"100435968\", alpha=\"0.14\", expect_size=\"50217984\"] \n  27 -> 29 [size =\"50217984\"]\n  28 [size=\"78561280\", alpha=\"0.12\", expect_size=\"39280640\"] \n  29 [size=\"77107200\", alpha=\"0.05\", expect_size=\"38553600\"] \n  29 -> 30 [size =\"38553600\"]\n  30 [size=\"57405440\", alpha=\"0.14\", expect_size=\"28702720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86886400\", alpha=\"0.19\", expect_size=\"43443200\"] \n  1 -> 15 [size =\"43443200\"]\n  1 -> 17 [size =\"43443200\"]\n  1 -> 19 [size =\"43443200\"]\n  2 [size=\"94365696\", alpha=\"0.12\", expect_size=\"47182848\"] \n  2 -> 16 [size =\"47182848\"]\n  2 -> 17 [size =\"47182848\"]\n  3 [size=\"58238976\", alpha=\"0.02\", expect_size=\"29119488\"] \n  3 -> 16 [size =\"29119488\"]\n  3 -> 19 [size =\"29119488\"]\n  4 [size=\"29048832\", alpha=\"0.19\", expect_size=\"14524416\"] \n  4 -> 19 [size =\"14524416\"]\n  5 [size=\"81397760\", alpha=\"0.15\", expect_size=\"40698880\"] \n  6 [size=\"77854720\", alpha=\"0.06\", expect_size=\"38927360\"] \n  6 -> 17 [size =\"38927360\"]\n  6 -> 20 [size =\"38927360\"]\n  7 [size=\"75034624\", alpha=\"0.04\", expect_size=\"37517312\"] \n  7 -> 17 [size =\"37517312\"]\n  7 -> 18 [size =\"37517312\"]\n  7 -> 19 [size =\"37517312\"]\n  8 [size=\"18415616\", alpha=\"0.15\", expect_size=\"9207808\"] \n  8 -> 17 [size =\"9207808\"]\n  8 -> 19 [size =\"9207808\"]\n  9 [size=\"96440320\", alpha=\"0.12\", expect_size=\"48220160\"] \n  10 [size=\"94025728\", alpha=\"0.13\", expect_size=\"47012864\"] \n  10 -> 17 [size =\"47012864\"]\n  11 [size=\"88868864\", alpha=\"0.05\", expect_size=\"44434432\"] \n  12 [size=\"83853312\", alpha=\"0.08\", expect_size=\"41926656\"] \n  12 -> 15 [size =\"41926656\"]\n  12 -> 17 [size =\"41926656\"]\n  13 [size=\"45092864\", alpha=\"0.19\", expect_size=\"22546432\"] \n  13 -> 15 [size =\"22546432\"]\n  13 -> 19 [size =\"22546432\"]\n  14 [size=\"56473600\", alpha=\"0.14\", expect_size=\"28236800\"] \n  14 -> 15 [size =\"28236800\"]\n  14 -> 18 [size =\"28236800\"]\n  14 -> 19 [size =\"28236800\"]\n  15 [size=\"51560448\", alpha=\"0.00\", expect_size=\"25780224\"] \n  15 -> 21 [size =\"25780224\"]\n  15 -> 23 [size =\"25780224\"]\n  16 [size=\"29495296\", alpha=\"0.10\", expect_size=\"14747648\"] \n  17 [size=\"58804224\", alpha=\"0.05\", expect_size=\"29402112\"] \n  17 -> 21 [size =\"29402112\"]\n  17 -> 22 [size =\"29402112\"]\n  18 [size=\"77625344\", alpha=\"0.19\", expect_size=\"38812672\"] \n  18 -> 24 [size =\"38812672\"]\n  19 [size=\"53792768\", alpha=\"0.06\", expect_size=\"26896384\"] \n  19 -> 22 [size =\"26896384\"]\n  19 -> 25 [size =\"26896384\"]\n  20 [size=\"16576512\", alpha=\"0.16\", expect_size=\"8288256\"] \n  20 -> 21 [size =\"8288256\"]\n  20 -> 23 [size =\"8288256\"]\n  20 -> 24 [size =\"8288256\"]\n  21 [size=\"78981120\", alpha=\"0.01\", expect_size=\"39490560\"] \n  21 -> 26 [size =\"39490560\"]\n  21 -> 27 [size =\"39490560\"]\n  21 -> 28 [size =\"39490560\"]\n  21 -> 29 [size =\"39490560\"]\n  22 [size=\"103008256\", alpha=\"0.04\", expect_size=\"51504128\"] \n  22 -> 27 [size =\"51504128\"]\n  22 -> 29 [size =\"51504128\"]\n  22 -> 30 [size =\"51504128\"]\n  23 [size=\"47067136\", alpha=\"0.18\", expect_size=\"23533568\"] \n  24 [size=\"42328064\", alpha=\"0.15\", expect_size=\"21164032\"] \n  25 [size=\"13746176\", alpha=\"0.07\", expect_size=\"6873088\"] \n  26 [size=\"14946304\", alpha=\"0.14\", expect_size=\"7473152\"] \n  27 [size=\"63709184\", alpha=\"0.14\", expect_size=\"31854592\"] \n  28 [size=\"86824960\", alpha=\"0.16\", expect_size=\"43412480\"] \n  29 [size=\"84068352\", alpha=\"0.16\", expect_size=\"42034176\"] \n  30 [size=\"19611648\", alpha=\"0.14\", expect_size=\"9805824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87801173\", alpha=\"0.07\", expect_size=\"26340352\"] \n  1 -> 2 [size =\"26340352\"]\n  1 -> 3 [size =\"26340352\"]\n  2 [size=\"114530987\", alpha=\"0.09\", expect_size=\"34359296\"] \n  2 -> 4 [size =\"34359296\"]\n  3 [size=\"113524053\", alpha=\"0.14\", expect_size=\"34057216\"] \n  3 -> 4 [size =\"34057216\"]\n  4 [size=\"122579627\", alpha=\"0.14\", expect_size=\"36773888\"] \n  4 -> 5 [size =\"36773888\"]\n  5 [size=\"151347200\", alpha=\"0.05\", expect_size=\"45404160\"] \n  5 -> 6 [size =\"45404160\"]\n  5 -> 7 [size =\"45404160\"]\n  6 [size=\"169117013\", alpha=\"0.00\", expect_size=\"50735104\"] \n  6 -> 8 [size =\"50735104\"]\n  7 [size=\"160945493\", alpha=\"0.05\", expect_size=\"48283648\"] \n  7 -> 8 [size =\"48283648\"]\n  8 [size=\"45438293\", alpha=\"0.06\", expect_size=\"13631488\"] \n  8 -> 9 [size =\"13631488\"]\n  8 -> 10 [size =\"13631488\"]\n  9 [size=\"75902293\", alpha=\"0.11\", expect_size=\"22770688\"] \n  9 -> 11 [size =\"22770688\"]\n  9 -> 12 [size =\"22770688\"]\n  10 [size=\"19613013\", alpha=\"0.10\", expect_size=\"5883904\"] \n  10 -> 11 [size =\"5883904\"]\n  11 [size=\"76991147\", alpha=\"0.19\", expect_size=\"23097344\"] \n  11 -> 13 [size =\"23097344\"]\n  12 [size=\"131915093\", alpha=\"0.01\", expect_size=\"39574528\"] \n  12 -> 14 [size =\"39574528\"]\n  13 [size=\"47066453\", alpha=\"0.08\", expect_size=\"14119936\"] \n  14 [size=\"155644587\", alpha=\"0.02\", expect_size=\"46693376\"] \n  14 -> 15 [size =\"46693376\"]\n  14 -> 16 [size =\"46693376\"]\n  15 [size=\"106748587\", alpha=\"0.05\", expect_size=\"32024576\"] \n  16 [size=\"148063573\", alpha=\"0.19\", expect_size=\"44419072\"] \n  16 -> 17 [size =\"44419072\"]\n  17 [size=\"148858880\", alpha=\"0.11\", expect_size=\"44657664\"] \n  17 -> 18 [size =\"44657664\"]\n  18 [size=\"30409387\", alpha=\"0.11\", expect_size=\"9122816\"] \n  18 -> 19 [size =\"9122816\"]\n  19 [size=\"81500160\", alpha=\"0.15\", expect_size=\"24450048\"] \n  19 -> 20 [size =\"24450048\"]\n  20 [size=\"166877867\", alpha=\"0.17\", expect_size=\"50063360\"] \n  20 -> 21 [size =\"50063360\"]\n  21 [size=\"86609920\", alpha=\"0.07\", expect_size=\"25982976\"] \n  21 -> 22 [size =\"25982976\"]\n  22 [size=\"76482560\", alpha=\"0.10\", expect_size=\"22944768\"] \n  22 -> 23 [size =\"22944768\"]\n  23 [size=\"82633387\", alpha=\"0.05\", expect_size=\"24790016\"] \n  23 -> 24 [size =\"24790016\"]\n  23 -> 25 [size =\"24790016\"]\n  24 [size=\"145947307\", alpha=\"0.13\", expect_size=\"43784192\"] \n  24 -> 26 [size =\"43784192\"]\n  24 -> 27 [size =\"43784192\"]\n  25 [size=\"160887467\", alpha=\"0.18\", expect_size=\"48266240\"] \n  25 -> 26 [size =\"48266240\"]\n  25 -> 27 [size =\"48266240\"]\n  26 [size=\"44974080\", alpha=\"0.03\", expect_size=\"13492224\"] \n  26 -> 28 [size =\"13492224\"]\n  26 -> 29 [size =\"13492224\"]\n  27 [size=\"38997333\", alpha=\"0.06\", expect_size=\"11699200\"] \n  27 -> 28 [size =\"11699200\"]\n  27 -> 29 [size =\"11699200\"]\n  28 [size=\"122009600\", alpha=\"0.12\", expect_size=\"36602880\"] \n  29 [size=\"48479573\", alpha=\"0.06\", expect_size=\"14543872\"] \n  29 -> 30 [size =\"14543872\"]\n  30 [size=\"169652907\", alpha=\"0.20\", expect_size=\"50895872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65890304\", alpha=\"0.01\", expect_size=\"32945152\"] \n  1 -> 12 [size =\"32945152\"]\n  1 -> 19 [size =\"32945152\"]\n  2 [size=\"26601472\", alpha=\"0.15\", expect_size=\"13300736\"] \n  3 [size=\"35110912\", alpha=\"0.07\", expect_size=\"17555456\"] \n  3 -> 14 [size =\"17555456\"]\n  3 -> 15 [size =\"17555456\"]\n  3 -> 17 [size =\"17555456\"]\n  3 -> 19 [size =\"17555456\"]\n  4 [size=\"97880064\", alpha=\"0.05\", expect_size=\"48940032\"] \n  4 -> 13 [size =\"48940032\"]\n  4 -> 14 [size =\"48940032\"]\n  4 -> 15 [size =\"48940032\"]\n  5 [size=\"45467648\", alpha=\"0.07\", expect_size=\"22733824\"] \n  5 -> 13 [size =\"22733824\"]\n  5 -> 15 [size =\"22733824\"]\n  5 -> 16 [size =\"22733824\"]\n  5 -> 19 [size =\"22733824\"]\n  6 [size=\"25298944\", alpha=\"0.13\", expect_size=\"12649472\"] \n  6 -> 12 [size =\"12649472\"]\n  6 -> 13 [size =\"12649472\"]\n  6 -> 15 [size =\"12649472\"]\n  6 -> 16 [size =\"12649472\"]\n  6 -> 19 [size =\"12649472\"]\n  7 [size=\"50528256\", alpha=\"0.19\", expect_size=\"25264128\"] \n  7 -> 12 [size =\"25264128\"]\n  7 -> 13 [size =\"25264128\"]\n  7 -> 15 [size =\"25264128\"]\n  7 -> 16 [size =\"25264128\"]\n  7 -> 18 [size =\"25264128\"]\n  7 -> 19 [size =\"25264128\"]\n  8 [size=\"26058752\", alpha=\"0.03\", expect_size=\"13029376\"] \n  8 -> 13 [size =\"13029376\"]\n  8 -> 15 [size =\"13029376\"]\n  8 -> 16 [size =\"13029376\"]\n  8 -> 16 [size =\"13029376\"]\n  8 -> 19 [size =\"13029376\"]\n  8 -> 20 [size =\"13029376\"]\n  9 [size=\"71458816\", alpha=\"0.20\", expect_size=\"35729408\"] \n  9 -> 13 [size =\"35729408\"]\n  9 -> 14 [size =\"35729408\"]\n  9 -> 16 [size =\"35729408\"]\n  9 -> 17 [size =\"35729408\"]\n  9 -> 19 [size =\"35729408\"]\n  10 [size=\"90398720\", alpha=\"0.08\", expect_size=\"45199360\"] \n  10 -> 13 [size =\"45199360\"]\n  10 -> 16 [size =\"45199360\"]\n  10 -> 17 [size =\"45199360\"]\n  11 [size=\"58548224\", alpha=\"0.02\", expect_size=\"29274112\"] \n  11 -> 15 [size =\"29274112\"]\n  11 -> 17 [size =\"29274112\"]\n  11 -> 19 [size =\"29274112\"]\n  11 -> 20 [size =\"29274112\"]\n  12 [size=\"62027776\", alpha=\"0.12\", expect_size=\"31013888\"] \n  12 -> 21 [size =\"31013888\"]\n  12 -> 22 [size =\"31013888\"]\n  12 -> 25 [size =\"31013888\"]\n  12 -> 27 [size =\"31013888\"]\n  13 [size=\"39917568\", alpha=\"0.02\", expect_size=\"19958784\"] \n  13 -> 22 [size =\"19958784\"]\n  13 -> 24 [size =\"19958784\"]\n  13 -> 25 [size =\"19958784\"]\n  13 -> 26 [size =\"19958784\"]\n  13 -> 27 [size =\"19958784\"]\n  13 -> 30 [size =\"19958784\"]\n  14 [size=\"74721280\", alpha=\"0.18\", expect_size=\"37360640\"] \n  14 -> 21 [size =\"37360640\"]\n  14 -> 26 [size =\"37360640\"]\n  14 -> 27 [size =\"37360640\"]\n  14 -> 28 [size =\"37360640\"]\n  15 [size=\"96747520\", alpha=\"0.11\", expect_size=\"48373760\"] \n  15 -> 21 [size =\"48373760\"]\n  15 -> 23 [size =\"48373760\"]\n  15 -> 24 [size =\"48373760\"]\n  15 -> 25 [size =\"48373760\"]\n  15 -> 27 [size =\"48373760\"]\n  15 -> 28 [size =\"48373760\"]\n  16 [size=\"35155968\", alpha=\"0.11\", expect_size=\"17577984\"] \n  16 -> 22 [size =\"17577984\"]\n  16 -> 24 [size =\"17577984\"]\n  16 -> 25 [size =\"17577984\"]\n  16 -> 26 [size =\"17577984\"]\n  16 -> 27 [size =\"17577984\"]\n  16 -> 28 [size =\"17577984\"]\n  17 [size=\"96727040\", alpha=\"0.03\", expect_size=\"48363520\"] \n  17 -> 22 [size =\"48363520\"]\n  17 -> 24 [size =\"48363520\"]\n  17 -> 25 [size =\"48363520\"]\n  17 -> 29 [size =\"48363520\"]\n  17 -> 30 [size =\"48363520\"]\n  18 [size=\"94334976\", alpha=\"0.04\", expect_size=\"47167488\"] \n  18 -> 21 [size =\"47167488\"]\n  18 -> 24 [size =\"47167488\"]\n  18 -> 25 [size =\"47167488\"]\n  18 -> 26 [size =\"47167488\"]\n  18 -> 27 [size =\"47167488\"]\n  19 [size=\"14139392\", alpha=\"0.16\", expect_size=\"7069696\"] \n  19 -> 21 [size =\"7069696\"]\n  19 -> 24 [size =\"7069696\"]\n  19 -> 26 [size =\"7069696\"]\n  20 [size=\"12193792\", alpha=\"0.02\", expect_size=\"6096896\"] \n  20 -> 21 [size =\"6096896\"]\n  20 -> 24 [size =\"6096896\"]\n  20 -> 26 [size =\"6096896\"]\n  20 -> 29 [size =\"6096896\"]\n  21 [size=\"52113408\", alpha=\"0.20\", expect_size=\"26056704\"] \n  22 [size=\"61698048\", alpha=\"0.01\", expect_size=\"30849024\"] \n  23 [size=\"22208512\", alpha=\"0.07\", expect_size=\"11104256\"] \n  24 [size=\"32391168\", alpha=\"0.12\", expect_size=\"16195584\"] \n  25 [size=\"23883776\", alpha=\"0.04\", expect_size=\"11941888\"] \n  26 [size=\"73576448\", alpha=\"0.19\", expect_size=\"36788224\"] \n  27 [size=\"32690176\", alpha=\"0.03\", expect_size=\"16345088\"] \n  28 [size=\"47759360\", alpha=\"0.10\", expect_size=\"23879680\"] \n  29 [size=\"67244032\", alpha=\"0.10\", expect_size=\"33622016\"] \n  30 [size=\"49080320\", alpha=\"0.07\", expect_size=\"24540160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103618560\", alpha=\"0.01\", expect_size=\"41447424\"] \n  1 -> 25 [size =\"41447424\"]\n  1 -> 28 [size =\"41447424\"]\n  1 -> 29 [size =\"41447424\"]\n  2 [size=\"69478400\", alpha=\"0.11\", expect_size=\"27791360\"] \n  2 -> 20 [size =\"27791360\"]\n  3 [size=\"116439040\", alpha=\"0.01\", expect_size=\"46575616\"] \n  3 -> 26 [size =\"46575616\"]\n  4 [size=\"35729920\", alpha=\"0.18\", expect_size=\"14291968\"] \n  4 -> 21 [size =\"14291968\"]\n  4 -> 24 [size =\"14291968\"]\n  4 -> 26 [size =\"14291968\"]\n  4 -> 27 [size =\"14291968\"]\n  5 [size=\"97538560\", alpha=\"0.10\", expect_size=\"39015424\"] \n  5 -> 21 [size =\"39015424\"]\n  5 -> 26 [size =\"39015424\"]\n  5 -> 26 [size =\"39015424\"]\n  5 -> 29 [size =\"39015424\"]\n  5 -> 30 [size =\"39015424\"]\n  6 [size=\"116328960\", alpha=\"0.17\", expect_size=\"46531584\"] \n  6 -> 20 [size =\"46531584\"]\n  6 -> 21 [size =\"46531584\"]\n  6 -> 22 [size =\"46531584\"]\n  6 -> 24 [size =\"46531584\"]\n  6 -> 30 [size =\"46531584\"]\n  7 [size=\"107046400\", alpha=\"0.00\", expect_size=\"42818560\"] \n  7 -> 22 [size =\"42818560\"]\n  8 [size=\"38617600\", alpha=\"0.10\", expect_size=\"15447040\"] \n  8 -> 24 [size =\"15447040\"]\n  8 -> 30 [size =\"15447040\"]\n  9 [size=\"21288960\", alpha=\"0.06\", expect_size=\"8515584\"] \n  9 -> 25 [size =\"8515584\"]\n  9 -> 28 [size =\"8515584\"]\n  10 [size=\"84728320\", alpha=\"0.14\", expect_size=\"33891328\"] \n  10 -> 20 [size =\"33891328\"]\n  10 -> 23 [size =\"33891328\"]\n  10 -> 25 [size =\"33891328\"]\n  10 -> 26 [size =\"33891328\"]\n  10 -> 27 [size =\"33891328\"]\n  11 [size=\"57640960\", alpha=\"0.19\", expect_size=\"23056384\"] \n  11 -> 20 [size =\"23056384\"]\n  11 -> 21 [size =\"23056384\"]\n  11 -> 26 [size =\"23056384\"]\n  11 -> 26 [size =\"23056384\"]\n  12 [size=\"63249920\", alpha=\"0.16\", expect_size=\"25299968\"] \n  12 -> 21 [size =\"25299968\"]\n  12 -> 29 [size =\"25299968\"]\n  13 [size=\"130641920\", alpha=\"0.15\", expect_size=\"52256768\"] \n  13 -> 29 [size =\"52256768\"]\n  14 [size=\"18206720\", alpha=\"0.20\", expect_size=\"7282688\"] \n  14 -> 23 [size =\"7282688\"]\n  15 [size=\"125273600\", alpha=\"0.16\", expect_size=\"50109440\"] \n  15 -> 30 [size =\"50109440\"]\n  16 [size=\"64243200\", alpha=\"0.16\", expect_size=\"25697280\"] \n  16 -> 21 [size =\"25697280\"]\n  16 -> 24 [size =\"25697280\"]\n  16 -> 30 [size =\"25697280\"]\n  17 [size=\"48586240\", alpha=\"0.07\", expect_size=\"19434496\"] \n  17 -> 21 [size =\"19434496\"]\n  17 -> 24 [size =\"19434496\"]\n  17 -> 26 [size =\"19434496\"]\n  17 -> 27 [size =\"19434496\"]\n  18 [size=\"48913920\", alpha=\"0.10\", expect_size=\"19565568\"] \n  18 -> 24 [size =\"19565568\"]\n  18 -> 24 [size =\"19565568\"]\n  18 -> 26 [size =\"19565568\"]\n  18 -> 29 [size =\"19565568\"]\n  18 -> 30 [size =\"19565568\"]\n  19 [size=\"109137920\", alpha=\"0.10\", expect_size=\"43655168\"] \n  19 -> 24 [size =\"43655168\"]\n  19 -> 25 [size =\"43655168\"]\n  19 -> 28 [size =\"43655168\"]\n  19 -> 29 [size =\"43655168\"]\n  20 [size=\"25648640\", alpha=\"0.12\", expect_size=\"10259456\"] \n  21 [size=\"108515840\", alpha=\"0.09\", expect_size=\"43406336\"] \n  22 [size=\"100367360\", alpha=\"0.15\", expect_size=\"40146944\"] \n  23 [size=\"79723520\", alpha=\"0.19\", expect_size=\"31889408\"] \n  24 [size=\"51010560\", alpha=\"0.07\", expect_size=\"20404224\"] \n  25 [size=\"49431040\", alpha=\"0.09\", expect_size=\"19772416\"] \n  26 [size=\"23229440\", alpha=\"0.09\", expect_size=\"9291776\"] \n  27 [size=\"120271360\", alpha=\"0.05\", expect_size=\"48108544\"] \n  28 [size=\"44382720\", alpha=\"0.05\", expect_size=\"17753088\"] \n  29 [size=\"101248000\", alpha=\"0.06\", expect_size=\"40499200\"] \n  30 [size=\"44631040\", alpha=\"0.19\", expect_size=\"17852416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38866944\", alpha=\"0.06\", expect_size=\"19433472\"] \n  1 -> 2 [size =\"19433472\"]\n  2 [size=\"73861120\", alpha=\"0.05\", expect_size=\"36930560\"] \n  2 -> 3 [size =\"36930560\"]\n  3 [size=\"66066432\", alpha=\"0.18\", expect_size=\"33033216\"] \n  3 -> 4 [size =\"33033216\"]\n  4 [size=\"64593920\", alpha=\"0.19\", expect_size=\"32296960\"] \n  4 -> 5 [size =\"32296960\"]\n  5 [size=\"18585600\", alpha=\"0.19\", expect_size=\"9292800\"] \n  5 -> 6 [size =\"9292800\"]\n  6 [size=\"84187136\", alpha=\"0.16\", expect_size=\"42093568\"] \n  6 -> 7 [size =\"42093568\"]\n  7 [size=\"27455488\", alpha=\"0.09\", expect_size=\"13727744\"] \n  7 -> 8 [size =\"13727744\"]\n  8 [size=\"68528128\", alpha=\"0.07\", expect_size=\"34264064\"] \n  8 -> 9 [size =\"34264064\"]\n  9 [size=\"63926272\", alpha=\"0.07\", expect_size=\"31963136\"] \n  9 -> 10 [size =\"31963136\"]\n  10 [size=\"62025728\", alpha=\"0.16\", expect_size=\"31012864\"] \n  10 -> 11 [size =\"31012864\"]\n  11 [size=\"35938304\", alpha=\"0.18\", expect_size=\"17969152\"] \n  11 -> 12 [size =\"17969152\"]\n  12 [size=\"65884160\", alpha=\"0.17\", expect_size=\"32942080\"] \n  12 -> 13 [size =\"32942080\"]\n  13 [size=\"87545856\", alpha=\"0.18\", expect_size=\"43772928\"] \n  13 -> 14 [size =\"43772928\"]\n  14 [size=\"76851200\", alpha=\"0.11\", expect_size=\"38425600\"] \n  14 -> 15 [size =\"38425600\"]\n  15 [size=\"71888896\", alpha=\"0.05\", expect_size=\"35944448\"] \n  15 -> 16 [size =\"35944448\"]\n  16 [size=\"67397632\", alpha=\"0.03\", expect_size=\"33698816\"] \n  16 -> 17 [size =\"33698816\"]\n  17 [size=\"47656960\", alpha=\"0.09\", expect_size=\"23828480\"] \n  17 -> 18 [size =\"23828480\"]\n  18 [size=\"92278784\", alpha=\"0.08\", expect_size=\"46139392\"] \n  18 -> 19 [size =\"46139392\"]\n  19 [size=\"32880640\", alpha=\"0.09\", expect_size=\"16440320\"] \n  19 -> 20 [size =\"16440320\"]\n  20 [size=\"63746048\", alpha=\"0.08\", expect_size=\"31873024\"] \n  20 -> 21 [size =\"31873024\"]\n  21 [size=\"43862016\", alpha=\"0.13\", expect_size=\"21931008\"] \n  21 -> 22 [size =\"21931008\"]\n  22 [size=\"32137216\", alpha=\"0.11\", expect_size=\"16068608\"] \n  22 -> 23 [size =\"16068608\"]\n  23 [size=\"15872000\", alpha=\"0.01\", expect_size=\"7936000\"] \n  23 -> 24 [size =\"7936000\"]\n  24 [size=\"100042752\", alpha=\"0.03\", expect_size=\"50021376\"] \n  24 -> 25 [size =\"50021376\"]\n  25 [size=\"57845760\", alpha=\"0.07\", expect_size=\"28922880\"] \n  25 -> 26 [size =\"28922880\"]\n  26 [size=\"80642048\", alpha=\"0.06\", expect_size=\"40321024\"] \n  26 -> 27 [size =\"40321024\"]\n  27 [size=\"93409280\", alpha=\"0.08\", expect_size=\"46704640\"] \n  27 -> 28 [size =\"46704640\"]\n  28 [size=\"41871360\", alpha=\"0.03\", expect_size=\"20935680\"] \n  28 -> 29 [size =\"20935680\"]\n  29 [size=\"80369664\", alpha=\"0.09\", expect_size=\"40184832\"] \n  29 -> 30 [size =\"40184832\"]\n  30 [size=\"27371520\", alpha=\"0.07\", expect_size=\"13685760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128291840\", alpha=\"0.06\", expect_size=\"51316736\"] \n  1 -> 22 [size =\"51316736\"]\n  1 -> 24 [size =\"51316736\"]\n  1 -> 25 [size =\"51316736\"]\n  1 -> 28 [size =\"51316736\"]\n  1 -> 29 [size =\"51316736\"]\n  2 [size=\"55503360\", alpha=\"0.05\", expect_size=\"22201344\"] \n  2 -> 22 [size =\"22201344\"]\n  2 -> 23 [size =\"22201344\"]\n  2 -> 24 [size =\"22201344\"]\n  2 -> 25 [size =\"22201344\"]\n  2 -> 26 [size =\"22201344\"]\n  2 -> 28 [size =\"22201344\"]\n  3 [size=\"24404480\", alpha=\"0.12\", expect_size=\"9761792\"] \n  3 -> 23 [size =\"9761792\"]\n  3 -> 23 [size =\"9761792\"]\n  3 -> 25 [size =\"9761792\"]\n  3 -> 25 [size =\"9761792\"]\n  3 -> 26 [size =\"9761792\"]\n  3 -> 27 [size =\"9761792\"]\n  3 -> 28 [size =\"9761792\"]\n  3 -> 29 [size =\"9761792\"]\n  4 [size=\"111813120\", alpha=\"0.12\", expect_size=\"44725248\"] \n  4 -> 23 [size =\"44725248\"]\n  4 -> 25 [size =\"44725248\"]\n  4 -> 25 [size =\"44725248\"]\n  4 -> 26 [size =\"44725248\"]\n  4 -> 26 [size =\"44725248\"]\n  4 -> 28 [size =\"44725248\"]\n  4 -> 28 [size =\"44725248\"]\n  4 -> 29 [size =\"44725248\"]\n  5 [size=\"34211840\", alpha=\"0.14\", expect_size=\"13684736\"] \n  5 -> 22 [size =\"13684736\"]\n  5 -> 23 [size =\"13684736\"]\n  5 -> 25 [size =\"13684736\"]\n  5 -> 26 [size =\"13684736\"]\n  5 -> 28 [size =\"13684736\"]\n  5 -> 28 [size =\"13684736\"]\n  6 [size=\"63605760\", alpha=\"0.00\", expect_size=\"25442304\"] \n  6 -> 21 [size =\"25442304\"]\n  6 -> 22 [size =\"25442304\"]\n  6 -> 23 [size =\"25442304\"]\n  6 -> 24 [size =\"25442304\"]\n  6 -> 26 [size =\"25442304\"]\n  6 -> 27 [size =\"25442304\"]\n  6 -> 28 [size =\"25442304\"]\n  6 -> 29 [size =\"25442304\"]\n  7 [size=\"22640640\", alpha=\"0.16\", expect_size=\"9056256\"] \n  7 -> 23 [size =\"9056256\"]\n  7 -> 24 [size =\"9056256\"]\n  7 -> 25 [size =\"9056256\"]\n  7 -> 26 [size =\"9056256\"]\n  7 -> 28 [size =\"9056256\"]\n  8 [size=\"95045120\", alpha=\"0.08\", expect_size=\"38018048\"] \n  8 -> 21 [size =\"38018048\"]\n  8 -> 23 [size =\"38018048\"]\n  8 -> 25 [size =\"38018048\"]\n  8 -> 28 [size =\"38018048\"]\n  8 -> 28 [size =\"38018048\"]\n  8 -> 30 [size =\"38018048\"]\n  9 [size=\"119372800\", alpha=\"0.13\", expect_size=\"47749120\"] \n  9 -> 21 [size =\"47749120\"]\n  9 -> 24 [size =\"47749120\"]\n  9 -> 25 [size =\"47749120\"]\n  10 [size=\"54758400\", alpha=\"0.20\", expect_size=\"21903360\"] \n  10 -> 21 [size =\"21903360\"]\n  10 -> 23 [size =\"21903360\"]\n  10 -> 24 [size =\"21903360\"]\n  10 -> 25 [size =\"21903360\"]\n  10 -> 28 [size =\"21903360\"]\n  11 [size=\"45378560\", alpha=\"0.10\", expect_size=\"18151424\"] \n  11 -> 21 [size =\"18151424\"]\n  11 -> 23 [size =\"18151424\"]\n  11 -> 24 [size =\"18151424\"]\n  11 -> 25 [size =\"18151424\"]\n  11 -> 26 [size =\"18151424\"]\n  11 -> 28 [size =\"18151424\"]\n  12 [size=\"78522880\", alpha=\"0.17\", expect_size=\"31409152\"] \n  12 -> 21 [size =\"31409152\"]\n  12 -> 23 [size =\"31409152\"]\n  12 -> 24 [size =\"31409152\"]\n  12 -> 25 [size =\"31409152\"]\n  12 -> 28 [size =\"31409152\"]\n  12 -> 29 [size =\"31409152\"]\n  13 [size=\"107799040\", alpha=\"0.12\", expect_size=\"43119616\"] \n  13 -> 22 [size =\"43119616\"]\n  13 -> 23 [size =\"43119616\"]\n  13 -> 24 [size =\"43119616\"]\n  13 -> 25 [size =\"43119616\"]\n  13 -> 26 [size =\"43119616\"]\n  14 [size=\"58362880\", alpha=\"0.19\", expect_size=\"23345152\"] \n  14 -> 23 [size =\"23345152\"]\n  14 -> 24 [size =\"23345152\"]\n  14 -> 24 [size =\"23345152\"]\n  14 -> 25 [size =\"23345152\"]\n  14 -> 26 [size =\"23345152\"]\n  14 -> 27 [size =\"23345152\"]\n  14 -> 29 [size =\"23345152\"]\n  15 [size=\"130337280\", alpha=\"0.01\", expect_size=\"52134912\"] \n  15 -> 21 [size =\"52134912\"]\n  15 -> 25 [size =\"52134912\"]\n  15 -> 26 [size =\"52134912\"]\n  16 [size=\"95388160\", alpha=\"0.18\", expect_size=\"38155264\"] \n  16 -> 21 [size =\"38155264\"]\n  16 -> 22 [size =\"38155264\"]\n  16 -> 24 [size =\"38155264\"]\n  16 -> 25 [size =\"38155264\"]\n  16 -> 26 [size =\"38155264\"]\n  16 -> 29 [size =\"38155264\"]\n  17 [size=\"96373760\", alpha=\"0.02\", expect_size=\"38549504\"] \n  17 -> 21 [size =\"38549504\"]\n  17 -> 22 [size =\"38549504\"]\n  17 -> 23 [size =\"38549504\"]\n  17 -> 25 [size =\"38549504\"]\n  17 -> 26 [size =\"38549504\"]\n  17 -> 29 [size =\"38549504\"]\n  18 [size=\"73569280\", alpha=\"0.13\", expect_size=\"29427712\"] \n  18 -> 22 [size =\"29427712\"]\n  18 -> 23 [size =\"29427712\"]\n  18 -> 26 [size =\"29427712\"]\n  19 [size=\"123020800\", alpha=\"0.20\", expect_size=\"49208320\"] \n  19 -> 23 [size =\"49208320\"]\n  19 -> 24 [size =\"49208320\"]\n  19 -> 28 [size =\"49208320\"]\n  20 [size=\"82014720\", alpha=\"0.10\", expect_size=\"32805888\"] \n  20 -> 24 [size =\"32805888\"]\n  20 -> 28 [size =\"32805888\"]\n  21 [size=\"81351680\", alpha=\"0.01\", expect_size=\"32540672\"] \n  22 [size=\"22512640\", alpha=\"0.18\", expect_size=\"9005056\"] \n  23 [size=\"121256960\", alpha=\"0.17\", expect_size=\"48502784\"] \n  24 [size=\"74621440\", alpha=\"0.13\", expect_size=\"29848576\"] \n  25 [size=\"67176960\", alpha=\"0.13\", expect_size=\"26870784\"] \n  26 [size=\"74634240\", alpha=\"0.01\", expect_size=\"29853696\"] \n  27 [size=\"60121600\", alpha=\"0.11\", expect_size=\"24048640\"] \n  28 [size=\"74705920\", alpha=\"0.15\", expect_size=\"29882368\"] \n  29 [size=\"34885120\", alpha=\"0.17\", expect_size=\"13954048\"] \n  30 [size=\"32135680\", alpha=\"0.06\", expect_size=\"12854272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30684160\", alpha=\"0.01\", expect_size=\"12273664\"] \n  1 -> 12 [size =\"12273664\"]\n  1 -> 15 [size =\"12273664\"]\n  2 [size=\"53007360\", alpha=\"0.19\", expect_size=\"21202944\"] \n  2 -> 12 [size =\"21202944\"]\n  2 -> 17 [size =\"21202944\"]\n  3 [size=\"83883520\", alpha=\"0.03\", expect_size=\"33553408\"] \n  3 -> 15 [size =\"33553408\"]\n  4 [size=\"38346240\", alpha=\"0.11\", expect_size=\"15338496\"] \n  4 -> 11 [size =\"15338496\"]\n  4 -> 15 [size =\"15338496\"]\n  4 -> 17 [size =\"15338496\"]\n  5 [size=\"21061120\", alpha=\"0.04\", expect_size=\"8424448\"] \n  5 -> 11 [size =\"8424448\"]\n  5 -> 12 [size =\"8424448\"]\n  5 -> 15 [size =\"8424448\"]\n  5 -> 16 [size =\"8424448\"]\n  6 [size=\"52375040\", alpha=\"0.17\", expect_size=\"20950016\"] \n  6 -> 11 [size =\"20950016\"]\n  6 -> 13 [size =\"20950016\"]\n  6 -> 16 [size =\"20950016\"]\n  7 [size=\"97292800\", alpha=\"0.10\", expect_size=\"38917120\"] \n  7 -> 13 [size =\"38917120\"]\n  7 -> 15 [size =\"38917120\"]\n  7 -> 17 [size =\"38917120\"]\n  8 [size=\"116889600\", alpha=\"0.14\", expect_size=\"46755840\"] \n  8 -> 15 [size =\"46755840\"]\n  9 [size=\"53237760\", alpha=\"0.06\", expect_size=\"21295104\"] \n  9 -> 12 [size =\"21295104\"]\n  9 -> 14 [size =\"21295104\"]\n  10 [size=\"119262720\", alpha=\"0.17\", expect_size=\"47705088\"] \n  10 -> 12 [size =\"47705088\"]\n  10 -> 16 [size =\"47705088\"]\n  10 -> 17 [size =\"47705088\"]\n  11 [size=\"18795520\", alpha=\"0.13\", expect_size=\"7518208\"] \n  11 -> 19 [size =\"7518208\"]\n  11 -> 21 [size =\"7518208\"]\n  11 -> 22 [size =\"7518208\"]\n  11 -> 27 [size =\"7518208\"]\n  12 [size=\"25804800\", alpha=\"0.07\", expect_size=\"10321920\"] \n  12 -> 19 [size =\"10321920\"]\n  12 -> 26 [size =\"10321920\"]\n  13 [size=\"18595840\", alpha=\"0.11\", expect_size=\"7438336\"] \n  13 -> 18 [size =\"7438336\"]\n  13 -> 19 [size =\"7438336\"]\n  13 -> 24 [size =\"7438336\"]\n  14 [size=\"34780160\", alpha=\"0.04\", expect_size=\"13912064\"] \n  14 -> 18 [size =\"13912064\"]\n  14 -> 19 [size =\"13912064\"]\n  14 -> 26 [size =\"13912064\"]\n  15 [size=\"99484160\", alpha=\"0.03\", expect_size=\"39793664\"] \n  15 -> 18 [size =\"39793664\"]\n  15 -> 20 [size =\"39793664\"]\n  15 -> 23 [size =\"39793664\"]\n  15 -> 24 [size =\"39793664\"]\n  15 -> 25 [size =\"39793664\"]\n  15 -> 27 [size =\"39793664\"]\n  16 [size=\"123522560\", alpha=\"0.18\", expect_size=\"49409024\"] \n  16 -> 22 [size =\"49409024\"]\n  16 -> 23 [size =\"49409024\"]\n  16 -> 24 [size =\"49409024\"]\n  17 [size=\"106936320\", alpha=\"0.06\", expect_size=\"42774528\"] \n  17 -> 19 [size =\"42774528\"]\n  17 -> 20 [size =\"42774528\"]\n  17 -> 22 [size =\"42774528\"]\n  17 -> 23 [size =\"42774528\"]\n  17 -> 24 [size =\"42774528\"]\n  17 -> 25 [size =\"42774528\"]\n  18 [size=\"48320000\", alpha=\"0.03\", expect_size=\"19328000\"] \n  18 -> 28 [size =\"19328000\"]\n  19 [size=\"14254080\", alpha=\"0.02\", expect_size=\"5701632\"] \n  20 [size=\"46766080\", alpha=\"0.07\", expect_size=\"18706432\"] \n  20 -> 29 [size =\"18706432\"]\n  21 [size=\"30046720\", alpha=\"0.14\", expect_size=\"12018688\"] \n  21 -> 28 [size =\"12018688\"]\n  21 -> 30 [size =\"12018688\"]\n  22 [size=\"107944960\", alpha=\"0.09\", expect_size=\"43177984\"] \n  22 -> 29 [size =\"43177984\"]\n  23 [size=\"33410560\", alpha=\"0.15\", expect_size=\"13364224\"] \n  23 -> 29 [size =\"13364224\"]\n  23 -> 30 [size =\"13364224\"]\n  24 [size=\"95910400\", alpha=\"0.06\", expect_size=\"38364160\"] \n  25 [size=\"118691840\", alpha=\"0.18\", expect_size=\"47476736\"] \n  25 -> 28 [size =\"47476736\"]\n  26 [size=\"18526720\", alpha=\"0.16\", expect_size=\"7410688\"] \n  26 -> 28 [size =\"7410688\"]\n  27 [size=\"122055680\", alpha=\"0.09\", expect_size=\"48822272\"] \n  28 [size=\"41326080\", alpha=\"0.20\", expect_size=\"16530432\"] \n  29 [size=\"57502720\", alpha=\"0.17\", expect_size=\"23001088\"] \n  30 [size=\"71541760\", alpha=\"0.12\", expect_size=\"28616704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93721600\", alpha=\"0.00\", expect_size=\"37488640\"] \n  1 -> 29 [size =\"37488640\"]\n  2 [size=\"100221440\", alpha=\"0.18\", expect_size=\"40088576\"] \n  2 -> 25 [size =\"40088576\"]\n  2 -> 27 [size =\"40088576\"]\n  2 -> 29 [size =\"40088576\"]\n  3 [size=\"50017280\", alpha=\"0.02\", expect_size=\"20006912\"] \n  3 -> 25 [size =\"20006912\"]\n  3 -> 26 [size =\"20006912\"]\n  3 -> 29 [size =\"20006912\"]\n  4 [size=\"69578240\", alpha=\"0.06\", expect_size=\"27831296\"] \n  4 -> 25 [size =\"27831296\"]\n  4 -> 26 [size =\"27831296\"]\n  4 -> 29 [size =\"27831296\"]\n  4 -> 30 [size =\"27831296\"]\n  5 [size=\"88465920\", alpha=\"0.08\", expect_size=\"35386368\"] \n  5 -> 25 [size =\"35386368\"]\n  5 -> 26 [size =\"35386368\"]\n  5 -> 27 [size =\"35386368\"]\n  5 -> 29 [size =\"35386368\"]\n  6 [size=\"128427520\", alpha=\"0.13\", expect_size=\"51371008\"] \n  6 -> 27 [size =\"51371008\"]\n  6 -> 29 [size =\"51371008\"]\n  6 -> 30 [size =\"51371008\"]\n  7 [size=\"114726400\", alpha=\"0.02\", expect_size=\"45890560\"] \n  7 -> 27 [size =\"45890560\"]\n  7 -> 29 [size =\"45890560\"]\n  7 -> 30 [size =\"45890560\"]\n  8 [size=\"33011200\", alpha=\"0.06\", expect_size=\"13204480\"] \n  8 -> 26 [size =\"13204480\"]\n  8 -> 30 [size =\"13204480\"]\n  9 [size=\"98949120\", alpha=\"0.00\", expect_size=\"39579648\"] \n  9 -> 26 [size =\"39579648\"]\n  9 -> 27 [size =\"39579648\"]\n  9 -> 28 [size =\"39579648\"]\n  9 -> 30 [size =\"39579648\"]\n  10 [size=\"83174400\", alpha=\"0.16\", expect_size=\"33269760\"] \n  10 -> 26 [size =\"33269760\"]\n  10 -> 27 [size =\"33269760\"]\n  10 -> 29 [size =\"33269760\"]\n  10 -> 30 [size =\"33269760\"]\n  11 [size=\"91432960\", alpha=\"0.11\", expect_size=\"36573184\"] \n  11 -> 25 [size =\"36573184\"]\n  11 -> 29 [size =\"36573184\"]\n  11 -> 30 [size =\"36573184\"]\n  11 -> 30 [size =\"36573184\"]\n  12 [size=\"93048320\", alpha=\"0.07\", expect_size=\"37219328\"] \n  12 -> 30 [size =\"37219328\"]\n  13 [size=\"84090880\", alpha=\"0.09\", expect_size=\"33636352\"] \n  13 -> 25 [size =\"33636352\"]\n  13 -> 27 [size =\"33636352\"]\n  14 [size=\"97497600\", alpha=\"0.07\", expect_size=\"38999040\"] \n  14 -> 25 [size =\"38999040\"]\n  14 -> 26 [size =\"38999040\"]\n  14 -> 27 [size =\"38999040\"]\n  14 -> 28 [size =\"38999040\"]\n  14 -> 30 [size =\"38999040\"]\n  15 [size=\"16212480\", alpha=\"0.06\", expect_size=\"6484992\"] \n  15 -> 25 [size =\"6484992\"]\n  15 -> 26 [size =\"6484992\"]\n  15 -> 28 [size =\"6484992\"]\n  16 [size=\"66040320\", alpha=\"0.18\", expect_size=\"26416128\"] \n  16 -> 26 [size =\"26416128\"]\n  16 -> 27 [size =\"26416128\"]\n  16 -> 28 [size =\"26416128\"]\n  16 -> 30 [size =\"26416128\"]\n  17 [size=\"24312320\", alpha=\"0.07\", expect_size=\"9724928\"] \n  17 -> 27 [size =\"9724928\"]\n  18 [size=\"36866560\", alpha=\"0.16\", expect_size=\"14746624\"] \n  18 -> 27 [size =\"14746624\"]\n  18 -> 29 [size =\"14746624\"]\n  18 -> 30 [size =\"14746624\"]\n  19 [size=\"74890240\", alpha=\"0.17\", expect_size=\"29956096\"] \n  19 -> 26 [size =\"29956096\"]\n  20 [size=\"75507200\", alpha=\"0.07\", expect_size=\"30202880\"] \n  20 -> 26 [size =\"30202880\"]\n  20 -> 29 [size =\"30202880\"]\n  20 -> 30 [size =\"30202880\"]\n  21 [size=\"49180160\", alpha=\"0.10\", expect_size=\"19672064\"] \n  21 -> 27 [size =\"19672064\"]\n  22 [size=\"115169280\", alpha=\"0.08\", expect_size=\"46067712\"] \n  22 -> 26 [size =\"46067712\"]\n  22 -> 27 [size =\"46067712\"]\n  22 -> 28 [size =\"46067712\"]\n  22 -> 29 [size =\"46067712\"]\n  23 [size=\"36561920\", alpha=\"0.13\", expect_size=\"14624768\"] \n  23 -> 27 [size =\"14624768\"]\n  23 -> 30 [size =\"14624768\"]\n  24 [size=\"87664640\", alpha=\"0.06\", expect_size=\"35065856\"] \n  24 -> 30 [size =\"35065856\"]\n  24 -> 30 [size =\"35065856\"]\n  25 [size=\"130442240\", alpha=\"0.13\", expect_size=\"52176896\"] \n  26 [size=\"49989120\", alpha=\"0.19\", expect_size=\"19995648\"] \n  27 [size=\"37437440\", alpha=\"0.03\", expect_size=\"14974976\"] \n  28 [size=\"78049280\", alpha=\"0.09\", expect_size=\"31219712\"] \n  29 [size=\"52848640\", alpha=\"0.11\", expect_size=\"21139456\"] \n  30 [size=\"36917760\", alpha=\"0.04\", expect_size=\"14767104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15659520\", alpha=\"0.16\", expect_size=\"6263808\"] \n  1 -> 5 [size =\"6263808\"]\n  2 [size=\"88819200\", alpha=\"0.15\", expect_size=\"35527680\"] \n  2 -> 5 [size =\"35527680\"]\n  2 -> 7 [size =\"35527680\"]\n  2 -> 8 [size =\"35527680\"]\n  2 -> 9 [size =\"35527680\"]\n  3 [size=\"122319360\", alpha=\"0.18\", expect_size=\"48927744\"] \n  3 -> 5 [size =\"48927744\"]\n  3 -> 6 [size =\"48927744\"]\n  4 [size=\"48440320\", alpha=\"0.20\", expect_size=\"19376128\"] \n  5 [size=\"129528320\", alpha=\"0.02\", expect_size=\"51811328\"] \n  5 -> 11 [size =\"51811328\"]\n  5 -> 12 [size =\"51811328\"]\n  5 -> 13 [size =\"51811328\"]\n  6 [size=\"16965120\", alpha=\"0.18\", expect_size=\"6786048\"] \n  6 -> 10 [size =\"6786048\"]\n  6 -> 11 [size =\"6786048\"]\n  6 -> 12 [size =\"6786048\"]\n  6 -> 13 [size =\"6786048\"]\n  7 [size=\"108183040\", alpha=\"0.10\", expect_size=\"43273216\"] \n  7 -> 11 [size =\"43273216\"]\n  8 [size=\"39121920\", alpha=\"0.05\", expect_size=\"15648768\"] \n  8 -> 12 [size =\"15648768\"]\n  8 -> 13 [size =\"15648768\"]\n  9 [size=\"97448960\", alpha=\"0.11\", expect_size=\"38979584\"] \n  9 -> 11 [size =\"38979584\"]\n  9 -> 13 [size =\"38979584\"]\n  10 [size=\"89187840\", alpha=\"0.14\", expect_size=\"35675136\"] \n  10 -> 14 [size =\"35675136\"]\n  10 -> 15 [size =\"35675136\"]\n  10 -> 16 [size =\"35675136\"]\n  10 -> 17 [size =\"35675136\"]\n  11 [size=\"89745920\", alpha=\"0.03\", expect_size=\"35898368\"] \n  11 -> 15 [size =\"35898368\"]\n  11 -> 16 [size =\"35898368\"]\n  12 [size=\"63649280\", alpha=\"0.19\", expect_size=\"25459712\"] \n  12 -> 14 [size =\"25459712\"]\n  12 -> 16 [size =\"25459712\"]\n  12 -> 17 [size =\"25459712\"]\n  12 -> 18 [size =\"25459712\"]\n  13 [size=\"33405440\", alpha=\"0.12\", expect_size=\"13362176\"] \n  13 -> 14 [size =\"13362176\"]\n  13 -> 15 [size =\"13362176\"]\n  13 -> 17 [size =\"13362176\"]\n  14 [size=\"20208640\", alpha=\"0.12\", expect_size=\"8083456\"] \n  14 -> 20 [size =\"8083456\"]\n  14 -> 21 [size =\"8083456\"]\n  15 [size=\"17594880\", alpha=\"0.13\", expect_size=\"7037952\"] \n  16 [size=\"26741760\", alpha=\"0.01\", expect_size=\"10696704\"] \n  16 -> 19 [size =\"10696704\"]\n  16 -> 21 [size =\"10696704\"]\n  16 -> 22 [size =\"10696704\"]\n  17 [size=\"17625600\", alpha=\"0.04\", expect_size=\"7050240\"] \n  17 -> 19 [size =\"7050240\"]\n  18 [size=\"75957760\", alpha=\"0.09\", expect_size=\"30383104\"] \n  19 [size=\"104384000\", alpha=\"0.12\", expect_size=\"41753600\"] \n  19 -> 23 [size =\"41753600\"]\n  19 -> 26 [size =\"41753600\"]\n  20 [size=\"49438720\", alpha=\"0.03\", expect_size=\"19775488\"] \n  20 -> 24 [size =\"19775488\"]\n  21 [size=\"16376320\", alpha=\"0.14\", expect_size=\"6550528\"] \n  21 -> 24 [size =\"6550528\"]\n  21 -> 26 [size =\"6550528\"]\n  22 [size=\"34058240\", alpha=\"0.18\", expect_size=\"13623296\"] \n  22 -> 23 [size =\"13623296\"]\n  22 -> 25 [size =\"13623296\"]\n  23 [size=\"29324800\", alpha=\"0.00\", expect_size=\"11729920\"] \n  23 -> 27 [size =\"11729920\"]\n  23 -> 28 [size =\"11729920\"]\n  23 -> 30 [size =\"11729920\"]\n  24 [size=\"99018240\", alpha=\"0.09\", expect_size=\"39607296\"] \n  24 -> 29 [size =\"39607296\"]\n  24 -> 30 [size =\"39607296\"]\n  25 [size=\"52723200\", alpha=\"0.17\", expect_size=\"21089280\"] \n  25 -> 27 [size =\"21089280\"]\n  26 [size=\"126627840\", alpha=\"0.06\", expect_size=\"50651136\"] \n  26 -> 30 [size =\"50651136\"]\n  27 [size=\"14899200\", alpha=\"0.11\", expect_size=\"5959680\"] \n  28 [size=\"40701440\", alpha=\"0.00\", expect_size=\"16280576\"] \n  29 [size=\"95324160\", alpha=\"0.04\", expect_size=\"38129664\"] \n  30 [size=\"49134080\", alpha=\"0.00\", expect_size=\"19653632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79172267\", alpha=\"0.15\", expect_size=\"23751680\"] \n  1 -> 24 [size =\"23751680\"]\n  1 -> 25 [size =\"23751680\"]\n  1 -> 30 [size =\"23751680\"]\n  2 [size=\"114930347\", alpha=\"0.12\", expect_size=\"34479104\"] \n  2 -> 24 [size =\"34479104\"]\n  2 -> 25 [size =\"34479104\"]\n  3 [size=\"22531413\", alpha=\"0.03\", expect_size=\"6759424\"] \n  3 -> 26 [size =\"6759424\"]\n  3 -> 30 [size =\"6759424\"]\n  4 [size=\"115462827\", alpha=\"0.00\", expect_size=\"34638848\"] \n  4 -> 27 [size =\"34638848\"]\n  5 [size=\"33406293\", alpha=\"0.13\", expect_size=\"10021888\"] \n  5 -> 24 [size =\"10021888\"]\n  5 -> 26 [size =\"10021888\"]\n  5 -> 27 [size =\"10021888\"]\n  5 -> 30 [size =\"10021888\"]\n  6 [size=\"100829867\", alpha=\"0.06\", expect_size=\"30248960\"] \n  6 -> 26 [size =\"30248960\"]\n  6 -> 30 [size =\"30248960\"]\n  7 [size=\"118985387\", alpha=\"0.18\", expect_size=\"35695616\"] \n  7 -> 28 [size =\"35695616\"]\n  8 [size=\"119220907\", alpha=\"0.05\", expect_size=\"35766272\"] \n  8 -> 24 [size =\"35766272\"]\n  8 -> 26 [size =\"35766272\"]\n  8 -> 28 [size =\"35766272\"]\n  9 [size=\"105489067\", alpha=\"0.18\", expect_size=\"31646720\"] \n  9 -> 24 [size =\"31646720\"]\n  9 -> 25 [size =\"31646720\"]\n  9 -> 26 [size =\"31646720\"]\n  9 -> 27 [size =\"31646720\"]\n  9 -> 30 [size =\"31646720\"]\n  10 [size=\"71161173\", alpha=\"0.12\", expect_size=\"21348352\"] \n  10 -> 26 [size =\"21348352\"]\n  10 -> 28 [size =\"21348352\"]\n  10 -> 30 [size =\"21348352\"]\n  11 [size=\"27357867\", alpha=\"0.13\", expect_size=\"8207360\"] \n  11 -> 26 [size =\"8207360\"]\n  11 -> 29 [size =\"8207360\"]\n  11 -> 30 [size =\"8207360\"]\n  12 [size=\"145186133\", alpha=\"0.17\", expect_size=\"43555840\"] \n  12 -> 25 [size =\"43555840\"]\n  13 [size=\"82851840\", alpha=\"0.06\", expect_size=\"24855552\"] \n  13 -> 30 [size =\"24855552\"]\n  14 [size=\"106649600\", alpha=\"0.07\", expect_size=\"31994880\"] \n  14 -> 30 [size =\"31994880\"]\n  15 [size=\"109509973\", alpha=\"0.13\", expect_size=\"32852992\"] \n  15 -> 25 [size =\"32852992\"]\n  15 -> 26 [size =\"32852992\"]\n  15 -> 27 [size =\"32852992\"]\n  16 [size=\"54388053\", alpha=\"0.10\", expect_size=\"16316416\"] \n  16 -> 25 [size =\"16316416\"]\n  17 [size=\"100788907\", alpha=\"0.03\", expect_size=\"30236672\"] \n  17 -> 27 [size =\"30236672\"]\n  18 [size=\"88183467\", alpha=\"0.00\", expect_size=\"26455040\"] \n  18 -> 24 [size =\"26455040\"]\n  18 -> 26 [size =\"26455040\"]\n  18 -> 27 [size =\"26455040\"]\n  19 [size=\"126361600\", alpha=\"0.08\", expect_size=\"37908480\"] \n  19 -> 25 [size =\"37908480\"]\n  19 -> 26 [size =\"37908480\"]\n  19 -> 30 [size =\"37908480\"]\n  20 [size=\"107431253\", alpha=\"0.06\", expect_size=\"32229376\"] \n  20 -> 25 [size =\"32229376\"]\n  21 [size=\"42294613\", alpha=\"0.13\", expect_size=\"12688384\"] \n  21 -> 24 [size =\"12688384\"]\n  22 [size=\"144554667\", alpha=\"0.12\", expect_size=\"43366400\"] \n  22 -> 24 [size =\"43366400\"]\n  22 -> 30 [size =\"43366400\"]\n  23 [size=\"124081493\", alpha=\"0.12\", expect_size=\"37224448\"] \n  23 -> 24 [size =\"37224448\"]\n  23 -> 25 [size =\"37224448\"]\n  23 -> 27 [size =\"37224448\"]\n  23 -> 30 [size =\"37224448\"]\n  24 [size=\"172752213\", alpha=\"0.04\", expect_size=\"51825664\"] \n  25 [size=\"69806080\", alpha=\"0.18\", expect_size=\"20941824\"] \n  26 [size=\"170571093\", alpha=\"0.03\", expect_size=\"51171328\"] \n  27 [size=\"90398720\", alpha=\"0.01\", expect_size=\"27119616\"] \n  28 [size=\"115370667\", alpha=\"0.12\", expect_size=\"34611200\"] \n  29 [size=\"118452907\", alpha=\"0.13\", expect_size=\"35535872\"] \n  30 [size=\"20896427\", alpha=\"0.02\", expect_size=\"6268928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96587093\", alpha=\"0.02\", expect_size=\"28976128\"] \n  1 -> 30 [size =\"28976128\"]\n  2 [size=\"106772480\", alpha=\"0.04\", expect_size=\"32031744\"] \n  2 -> 30 [size =\"32031744\"]\n  3 [size=\"119848960\", alpha=\"0.14\", expect_size=\"35954688\"] \n  4 [size=\"167840427\", alpha=\"0.03\", expect_size=\"50352128\"] \n  5 [size=\"32477867\", alpha=\"0.10\", expect_size=\"9743360\"] \n  6 [size=\"28689067\", alpha=\"0.03\", expect_size=\"8606720\"] \n  7 [size=\"65467733\", alpha=\"0.17\", expect_size=\"19640320\"] \n  7 -> 30 [size =\"19640320\"]\n  8 [size=\"160081920\", alpha=\"0.14\", expect_size=\"48024576\"] \n  8 -> 30 [size =\"48024576\"]\n  9 [size=\"174684160\", alpha=\"0.12\", expect_size=\"52405248\"] \n  10 [size=\"173608960\", alpha=\"0.10\", expect_size=\"52082688\"] \n  11 [size=\"103041707\", alpha=\"0.14\", expect_size=\"30912512\"] \n  12 [size=\"122139307\", alpha=\"0.03\", expect_size=\"36641792\"] \n  13 [size=\"153367893\", alpha=\"0.15\", expect_size=\"46010368\"] \n  14 [size=\"102365867\", alpha=\"0.02\", expect_size=\"30709760\"] \n  15 [size=\"122511360\", alpha=\"0.07\", expect_size=\"36753408\"] \n  16 [size=\"47028907\", alpha=\"0.02\", expect_size=\"14108672\"] \n  17 [size=\"67037867\", alpha=\"0.08\", expect_size=\"20111360\"] \n  18 [size=\"41168213\", alpha=\"0.14\", expect_size=\"12350464\"] \n  19 [size=\"153340587\", alpha=\"0.10\", expect_size=\"46002176\"] \n  20 [size=\"87077547\", alpha=\"0.14\", expect_size=\"26123264\"] \n  21 [size=\"166413653\", alpha=\"0.08\", expect_size=\"49924096\"] \n  22 [size=\"121149440\", alpha=\"0.13\", expect_size=\"36344832\"] \n  23 [size=\"146018987\", alpha=\"0.11\", expect_size=\"43805696\"] \n  23 -> 30 [size =\"43805696\"]\n  24 [size=\"110206293\", alpha=\"0.09\", expect_size=\"33061888\"] \n  24 -> 30 [size =\"33061888\"]\n  25 [size=\"128689493\", alpha=\"0.08\", expect_size=\"38606848\"] \n  26 [size=\"24903680\", alpha=\"0.09\", expect_size=\"7471104\"] \n  26 -> 30 [size =\"7471104\"]\n  27 [size=\"38516053\", alpha=\"0.16\", expect_size=\"11554816\"] \n  27 -> 30 [size =\"11554816\"]\n  28 [size=\"97720320\", alpha=\"0.01\", expect_size=\"29316096\"] \n  29 [size=\"52497067\", alpha=\"0.06\", expect_size=\"15749120\"] \n  30 [size=\"128542720\", alpha=\"0.11\", expect_size=\"38562816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136523093\", alpha=\"0.14\", expect_size=\"40956928\"] \n  1 -> 5 [size =\"40956928\"]\n  1 -> 7 [size =\"40956928\"]\n  2 [size=\"139209387\", alpha=\"0.15\", expect_size=\"41762816\"] \n  2 -> 4 [size =\"41762816\"]\n  2 -> 6 [size =\"41762816\"]\n  3 [size=\"28760747\", alpha=\"0.08\", expect_size=\"8628224\"] \n  3 -> 4 [size =\"8628224\"]\n  3 -> 5 [size =\"8628224\"]\n  3 -> 7 [size =\"8628224\"]\n  4 [size=\"110561280\", alpha=\"0.09\", expect_size=\"33168384\"] \n  4 -> 9 [size =\"33168384\"]\n  4 -> 10 [size =\"33168384\"]\n  5 [size=\"165393067\", alpha=\"0.15\", expect_size=\"49617920\"] \n  5 -> 8 [size =\"49617920\"]\n  6 [size=\"117797547\", alpha=\"0.03\", expect_size=\"35339264\"] \n  7 [size=\"159979520\", alpha=\"0.15\", expect_size=\"47993856\"] \n  7 -> 9 [size =\"47993856\"]\n  7 -> 10 [size =\"47993856\"]\n  8 [size=\"33989973\", alpha=\"0.18\", expect_size=\"10196992\"] \n  8 -> 11 [size =\"10196992\"]\n  8 -> 13 [size =\"10196992\"]\n  8 -> 14 [size =\"10196992\"]\n  8 -> 15 [size =\"10196992\"]\n  8 -> 16 [size =\"10196992\"]\n  9 [size=\"92934827\", alpha=\"0.15\", expect_size=\"27880448\"] \n  9 -> 11 [size =\"27880448\"]\n  9 -> 12 [size =\"27880448\"]\n  9 -> 13 [size =\"27880448\"]\n  10 [size=\"169403733\", alpha=\"0.08\", expect_size=\"50821120\"] \n  10 -> 11 [size =\"50821120\"]\n  11 [size=\"56896853\", alpha=\"0.14\", expect_size=\"17069056\"] \n  11 -> 17 [size =\"17069056\"]\n  11 -> 18 [size =\"17069056\"]\n  11 -> 19 [size =\"17069056\"]\n  11 -> 20 [size =\"17069056\"]\n  12 [size=\"165427200\", alpha=\"0.06\", expect_size=\"49628160\"] \n  12 -> 18 [size =\"49628160\"]\n  12 -> 19 [size =\"49628160\"]\n  13 [size=\"122340693\", alpha=\"0.09\", expect_size=\"36702208\"] \n  13 -> 17 [size =\"36702208\"]\n  13 -> 19 [size =\"36702208\"]\n  14 [size=\"24299520\", alpha=\"0.02\", expect_size=\"7289856\"] \n  14 -> 19 [size =\"7289856\"]\n  15 [size=\"93972480\", alpha=\"0.09\", expect_size=\"28191744\"] \n  15 -> 17 [size =\"28191744\"]\n  15 -> 20 [size =\"28191744\"]\n  16 [size=\"51759787\", alpha=\"0.15\", expect_size=\"15527936\"] \n  16 -> 18 [size =\"15527936\"]\n  16 -> 20 [size =\"15527936\"]\n  17 [size=\"76977493\", alpha=\"0.08\", expect_size=\"23093248\"] \n  17 -> 22 [size =\"23093248\"]\n  18 [size=\"37655893\", alpha=\"0.16\", expect_size=\"11296768\"] \n  18 -> 22 [size =\"11296768\"]\n  19 [size=\"20282027\", alpha=\"0.06\", expect_size=\"6084608\"] \n  19 -> 21 [size =\"6084608\"]\n  19 -> 22 [size =\"6084608\"]\n  20 [size=\"135738027\", alpha=\"0.17\", expect_size=\"40721408\"] \n  20 -> 21 [size =\"40721408\"]\n  20 -> 23 [size =\"40721408\"]\n  21 [size=\"41004373\", alpha=\"0.03\", expect_size=\"12301312\"] \n  21 -> 24 [size =\"12301312\"]\n  21 -> 26 [size =\"12301312\"]\n  22 [size=\"147346773\", alpha=\"0.04\", expect_size=\"44204032\"] \n  22 -> 24 [size =\"44204032\"]\n  22 -> 25 [size =\"44204032\"]\n  22 -> 26 [size =\"44204032\"]\n  22 -> 27 [size =\"44204032\"]\n  22 -> 28 [size =\"44204032\"]\n  23 [size=\"40034987\", alpha=\"0.06\", expect_size=\"12010496\"] \n  23 -> 26 [size =\"12010496\"]\n  24 [size=\"111151787\", alpha=\"0.00\", expect_size=\"33345536\"] \n  25 [size=\"123115520\", alpha=\"0.14\", expect_size=\"36934656\"] \n  26 [size=\"38768640\", alpha=\"0.19\", expect_size=\"11630592\"] \n  26 -> 29 [size =\"11630592\"]\n  26 -> 30 [size =\"11630592\"]\n  27 [size=\"156153173\", alpha=\"0.04\", expect_size=\"46845952\"] \n  27 -> 29 [size =\"46845952\"]\n  27 -> 30 [size =\"46845952\"]\n  28 [size=\"60689067\", alpha=\"0.10\", expect_size=\"18206720\"] \n  28 -> 29 [size =\"18206720\"]\n  29 [size=\"30156800\", alpha=\"0.05\", expect_size=\"9047040\"] \n  30 [size=\"81018880\", alpha=\"0.00\", expect_size=\"24305664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110658560\", alpha=\"0.01\", expect_size=\"44263424\"] \n  1 -> 9 [size =\"44263424\"]\n  2 [size=\"43087360\", alpha=\"0.15\", expect_size=\"17234944\"] \n  2 -> 6 [size =\"17234944\"]\n  2 -> 7 [size =\"17234944\"]\n  2 -> 9 [size =\"17234944\"]\n  3 [size=\"92533760\", alpha=\"0.03\", expect_size=\"37013504\"] \n  3 -> 9 [size =\"37013504\"]\n  4 [size=\"80501760\", alpha=\"0.14\", expect_size=\"32200704\"] \n  4 -> 6 [size =\"32200704\"]\n  4 -> 7 [size =\"32200704\"]\n  4 -> 9 [size =\"32200704\"]\n  5 [size=\"102581760\", alpha=\"0.11\", expect_size=\"41032704\"] \n  5 -> 6 [size =\"41032704\"]\n  5 -> 8 [size =\"41032704\"]\n  6 [size=\"111841280\", alpha=\"0.11\", expect_size=\"44736512\"] \n  6 -> 10 [size =\"44736512\"]\n  6 -> 11 [size =\"44736512\"]\n  6 -> 13 [size =\"44736512\"]\n  7 [size=\"77324800\", alpha=\"0.20\", expect_size=\"30929920\"] \n  7 -> 11 [size =\"30929920\"]\n  7 -> 12 [size =\"30929920\"]\n  7 -> 13 [size =\"30929920\"]\n  8 [size=\"16289280\", alpha=\"0.08\", expect_size=\"6515712\"] \n  8 -> 12 [size =\"6515712\"]\n  9 [size=\"80138240\", alpha=\"0.13\", expect_size=\"32055296\"] \n  9 -> 11 [size =\"32055296\"]\n  9 -> 12 [size =\"32055296\"]\n  9 -> 13 [size =\"32055296\"]\n  10 [size=\"34173440\", alpha=\"0.14\", expect_size=\"13669376\"] \n  10 -> 15 [size =\"13669376\"]\n  10 -> 16 [size =\"13669376\"]\n  10 -> 17 [size =\"13669376\"]\n  11 [size=\"122227200\", alpha=\"0.05\", expect_size=\"48890880\"] \n  11 -> 16 [size =\"48890880\"]\n  11 -> 16 [size =\"48890880\"]\n  11 -> 17 [size =\"48890880\"]\n  11 -> 18 [size =\"48890880\"]\n  12 [size=\"125588480\", alpha=\"0.17\", expect_size=\"50235392\"] \n  12 -> 14 [size =\"50235392\"]\n  13 [size=\"94023680\", alpha=\"0.00\", expect_size=\"37609472\"] \n  13 -> 15 [size =\"37609472\"]\n  13 -> 16 [size =\"37609472\"]\n  13 -> 17 [size =\"37609472\"]\n  13 -> 18 [size =\"37609472\"]\n  14 [size=\"110735360\", alpha=\"0.04\", expect_size=\"44294144\"] \n  14 -> 20 [size =\"44294144\"]\n  15 [size=\"75937280\", alpha=\"0.04\", expect_size=\"30374912\"] \n  15 -> 19 [size =\"30374912\"]\n  15 -> 20 [size =\"30374912\"]\n  15 -> 21 [size =\"30374912\"]\n  15 -> 22 [size =\"30374912\"]\n  16 [size=\"21770240\", alpha=\"0.05\", expect_size=\"8708096\"] \n  16 -> 21 [size =\"8708096\"]\n  16 -> 22 [size =\"8708096\"]\n  17 [size=\"87708160\", alpha=\"0.12\", expect_size=\"35083264\"] \n  17 -> 20 [size =\"35083264\"]\n  17 -> 22 [size =\"35083264\"]\n  18 [size=\"85511680\", alpha=\"0.18\", expect_size=\"34204672\"] \n  18 -> 20 [size =\"34204672\"]\n  18 -> 21 [size =\"34204672\"]\n  18 -> 22 [size =\"34204672\"]\n  19 [size=\"129927680\", alpha=\"0.11\", expect_size=\"51971072\"] \n  19 -> 23 [size =\"51971072\"]\n  19 -> 24 [size =\"51971072\"]\n  19 -> 26 [size =\"51971072\"]\n  20 [size=\"89884160\", alpha=\"0.12\", expect_size=\"35953664\"] \n  20 -> 24 [size =\"35953664\"]\n  20 -> 25 [size =\"35953664\"]\n  21 [size=\"55718400\", alpha=\"0.10\", expect_size=\"22287360\"] \n  21 -> 23 [size =\"22287360\"]\n  21 -> 24 [size =\"22287360\"]\n  21 -> 25 [size =\"22287360\"]\n  21 -> 26 [size =\"22287360\"]\n  22 [size=\"86835200\", alpha=\"0.12\", expect_size=\"34734080\"] \n  22 -> 23 [size =\"34734080\"]\n  22 -> 25 [size =\"34734080\"]\n  22 -> 26 [size =\"34734080\"]\n  22 -> 26 [size =\"34734080\"]\n  23 [size=\"68738560\", alpha=\"0.09\", expect_size=\"27495424\"] \n  23 -> 27 [size =\"27495424\"]\n  23 -> 28 [size =\"27495424\"]\n  23 -> 30 [size =\"27495424\"]\n  24 [size=\"70594560\", alpha=\"0.16\", expect_size=\"28237824\"] \n  24 -> 27 [size =\"28237824\"]\n  24 -> 29 [size =\"28237824\"]\n  24 -> 30 [size =\"28237824\"]\n  25 [size=\"91509760\", alpha=\"0.19\", expect_size=\"36603904\"] \n  25 -> 27 [size =\"36603904\"]\n  25 -> 29 [size =\"36603904\"]\n  25 -> 30 [size =\"36603904\"]\n  26 [size=\"112273920\", alpha=\"0.19\", expect_size=\"44909568\"] \n  26 -> 27 [size =\"44909568\"]\n  26 -> 29 [size =\"44909568\"]\n  26 -> 30 [size =\"44909568\"]\n  27 [size=\"24350720\", alpha=\"0.09\", expect_size=\"9740288\"] \n  28 [size=\"97431040\", alpha=\"0.00\", expect_size=\"38972416\"] \n  29 [size=\"87907840\", alpha=\"0.03\", expect_size=\"35163136\"] \n  30 [size=\"33681920\", alpha=\"0.09\", expect_size=\"13472768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172687360\", alpha=\"0.19\", expect_size=\"51806208\"] \n  1 -> 16 [size =\"51806208\"]\n  1 -> 22 [size =\"51806208\"]\n  1 -> 25 [size =\"51806208\"]\n  2 [size=\"78527147\", alpha=\"0.07\", expect_size=\"23558144\"] \n  2 -> 15 [size =\"23558144\"]\n  2 -> 16 [size =\"23558144\"]\n  2 -> 18 [size =\"23558144\"]\n  2 -> 21 [size =\"23558144\"]\n  2 -> 23 [size =\"23558144\"]\n  2 -> 25 [size =\"23558144\"]\n  3 [size=\"166987093\", alpha=\"0.12\", expect_size=\"50096128\"] \n  3 -> 15 [size =\"50096128\"]\n  3 -> 17 [size =\"50096128\"]\n  3 -> 18 [size =\"50096128\"]\n  3 -> 19 [size =\"50096128\"]\n  3 -> 21 [size =\"50096128\"]\n  3 -> 23 [size =\"50096128\"]\n  3 -> 25 [size =\"50096128\"]\n  4 [size=\"87862613\", alpha=\"0.11\", expect_size=\"26358784\"] \n  4 -> 15 [size =\"26358784\"]\n  4 -> 18 [size =\"26358784\"]\n  4 -> 18 [size =\"26358784\"]\n  4 -> 19 [size =\"26358784\"]\n  4 -> 21 [size =\"26358784\"]\n  5 [size=\"105154560\", alpha=\"0.02\", expect_size=\"31546368\"] \n  5 -> 18 [size =\"31546368\"]\n  5 -> 19 [size =\"31546368\"]\n  5 -> 23 [size =\"31546368\"]\n  6 [size=\"98426880\", alpha=\"0.12\", expect_size=\"29528064\"] \n  6 -> 14 [size =\"29528064\"]\n  6 -> 15 [size =\"29528064\"]\n  6 -> 18 [size =\"29528064\"]\n  6 -> 19 [size =\"29528064\"]\n  6 -> 25 [size =\"29528064\"]\n  7 [size=\"96276480\", alpha=\"0.18\", expect_size=\"28882944\"] \n  7 -> 18 [size =\"28882944\"]\n  7 -> 19 [size =\"28882944\"]\n  7 -> 21 [size =\"28882944\"]\n  7 -> 23 [size =\"28882944\"]\n  8 [size=\"135000747\", alpha=\"0.07\", expect_size=\"40500224\"] \n  8 -> 14 [size =\"40500224\"]\n  8 -> 18 [size =\"40500224\"]\n  8 -> 21 [size =\"40500224\"]\n  9 [size=\"24360960\", alpha=\"0.05\", expect_size=\"7308288\"] \n  9 -> 14 [size =\"7308288\"]\n  9 -> 15 [size =\"7308288\"]\n  9 -> 17 [size =\"7308288\"]\n  9 -> 18 [size =\"7308288\"]\n  9 -> 21 [size =\"7308288\"]\n  9 -> 23 [size =\"7308288\"]\n  10 [size=\"41277440\", alpha=\"0.19\", expect_size=\"12383232\"] \n  10 -> 14 [size =\"12383232\"]\n  10 -> 15 [size =\"12383232\"]\n  10 -> 16 [size =\"12383232\"]\n  10 -> 17 [size =\"12383232\"]\n  10 -> 18 [size =\"12383232\"]\n  10 -> 23 [size =\"12383232\"]\n  11 [size=\"74366293\", alpha=\"0.16\", expect_size=\"22309888\"] \n  11 -> 14 [size =\"22309888\"]\n  11 -> 15 [size =\"22309888\"]\n  11 -> 17 [size =\"22309888\"]\n  11 -> 20 [size =\"22309888\"]\n  11 -> 21 [size =\"22309888\"]\n  11 -> 22 [size =\"22309888\"]\n  11 -> 23 [size =\"22309888\"]\n  11 -> 25 [size =\"22309888\"]\n  12 [size=\"66051413\", alpha=\"0.13\", expect_size=\"19815424\"] \n  12 -> 14 [size =\"19815424\"]\n  12 -> 17 [size =\"19815424\"]\n  12 -> 17 [size =\"19815424\"]\n  12 -> 19 [size =\"19815424\"]\n  12 -> 21 [size =\"19815424\"]\n  12 -> 24 [size =\"19815424\"]\n  12 -> 25 [size =\"19815424\"]\n  13 [size=\"123951787\", alpha=\"0.17\", expect_size=\"37185536\"] \n  13 -> 14 [size =\"37185536\"]\n  13 -> 15 [size =\"37185536\"]\n  13 -> 17 [size =\"37185536\"]\n  13 -> 22 [size =\"37185536\"]\n  13 -> 25 [size =\"37185536\"]\n  14 [size=\"60706133\", alpha=\"0.14\", expect_size=\"18211840\"] \n  14 -> 26 [size =\"18211840\"]\n  14 -> 28 [size =\"18211840\"]\n  14 -> 29 [size =\"18211840\"]\n  14 -> 30 [size =\"18211840\"]\n  15 [size=\"148002133\", alpha=\"0.09\", expect_size=\"44400640\"] \n  15 -> 26 [size =\"44400640\"]\n  15 -> 27 [size =\"44400640\"]\n  15 -> 30 [size =\"44400640\"]\n  16 [size=\"166922240\", alpha=\"0.04\", expect_size=\"50076672\"] \n  16 -> 26 [size =\"50076672\"]\n  16 -> 27 [size =\"50076672\"]\n  16 -> 28 [size =\"50076672\"]\n  16 -> 29 [size =\"50076672\"]\n  16 -> 30 [size =\"50076672\"]\n  17 [size=\"101649067\", alpha=\"0.17\", expect_size=\"30494720\"] \n  17 -> 26 [size =\"30494720\"]\n  17 -> 27 [size =\"30494720\"]\n  17 -> 28 [size =\"30494720\"]\n  17 -> 29 [size =\"30494720\"]\n  17 -> 30 [size =\"30494720\"]\n  18 [size=\"82749440\", alpha=\"0.20\", expect_size=\"24824832\"] \n  18 -> 26 [size =\"24824832\"]\n  18 -> 30 [size =\"24824832\"]\n  19 [size=\"133918720\", alpha=\"0.08\", expect_size=\"40175616\"] \n  19 -> 26 [size =\"40175616\"]\n  19 -> 29 [size =\"40175616\"]\n  19 -> 30 [size =\"40175616\"]\n  20 [size=\"170489173\", alpha=\"0.14\", expect_size=\"51146752\"] \n  20 -> 27 [size =\"51146752\"]\n  20 -> 28 [size =\"51146752\"]\n  20 -> 29 [size =\"51146752\"]\n  21 [size=\"160051200\", alpha=\"0.00\", expect_size=\"48015360\"] \n  21 -> 30 [size =\"48015360\"]\n  22 [size=\"126750720\", alpha=\"0.14\", expect_size=\"38025216\"] \n  22 -> 26 [size =\"38025216\"]\n  22 -> 27 [size =\"38025216\"]\n  23 [size=\"73854293\", alpha=\"0.06\", expect_size=\"22156288\"] \n  23 -> 26 [size =\"22156288\"]\n  23 -> 27 [size =\"22156288\"]\n  24 [size=\"53992107\", alpha=\"0.08\", expect_size=\"16197632\"] \n  24 -> 26 [size =\"16197632\"]\n  24 -> 27 [size =\"16197632\"]\n  24 -> 29 [size =\"16197632\"]\n  25 [size=\"164860587\", alpha=\"0.00\", expect_size=\"49458176\"] \n  25 -> 26 [size =\"49458176\"]\n  26 [size=\"77875200\", alpha=\"0.03\", expect_size=\"23362560\"] \n  27 [size=\"111953920\", alpha=\"0.16\", expect_size=\"33586176\"] \n  28 [size=\"89617067\", alpha=\"0.04\", expect_size=\"26885120\"] \n  29 [size=\"86831787\", alpha=\"0.13\", expect_size=\"26049536\"] \n  30 [size=\"153552213\", alpha=\"0.05\", expect_size=\"46065664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109069653\", alpha=\"0.02\", expect_size=\"32720896\"] \n  1 -> 2 [size =\"32720896\"]\n  1 -> 3 [size =\"32720896\"]\n  2 [size=\"101331627\", alpha=\"0.04\", expect_size=\"30399488\"] \n  3 [size=\"106441387\", alpha=\"0.18\", expect_size=\"31932416\"] \n  3 -> 4 [size =\"31932416\"]\n  4 [size=\"34068480\", alpha=\"0.17\", expect_size=\"10220544\"] \n  4 -> 5 [size =\"10220544\"]\n  4 -> 6 [size =\"10220544\"]\n  5 [size=\"45025280\", alpha=\"0.03\", expect_size=\"13507584\"] \n  5 -> 8 [size =\"13507584\"]\n  6 [size=\"142680747\", alpha=\"0.01\", expect_size=\"42804224\"] \n  6 -> 7 [size =\"42804224\"]\n  6 -> 8 [size =\"42804224\"]\n  7 [size=\"80209920\", alpha=\"0.01\", expect_size=\"24062976\"] \n  7 -> 9 [size =\"24062976\"]\n  7 -> 10 [size =\"24062976\"]\n  8 [size=\"19049813\", alpha=\"0.19\", expect_size=\"5714944\"] \n  8 -> 9 [size =\"5714944\"]\n  8 -> 10 [size =\"5714944\"]\n  9 [size=\"56767147\", alpha=\"0.20\", expect_size=\"17030144\"] \n  9 -> 12 [size =\"17030144\"]\n  10 [size=\"51203413\", alpha=\"0.02\", expect_size=\"15361024\"] \n  10 -> 11 [size =\"15361024\"]\n  10 -> 12 [size =\"15361024\"]\n  11 [size=\"33440427\", alpha=\"0.07\", expect_size=\"10032128\"] \n  11 -> 14 [size =\"10032128\"]\n  12 [size=\"48100693\", alpha=\"0.09\", expect_size=\"14430208\"] \n  12 -> 13 [size =\"14430208\"]\n  13 [size=\"77612373\", alpha=\"0.04\", expect_size=\"23283712\"] \n  13 -> 15 [size =\"23283712\"]\n  13 -> 16 [size =\"23283712\"]\n  14 [size=\"63948800\", alpha=\"0.11\", expect_size=\"19184640\"] \n  14 -> 16 [size =\"19184640\"]\n  15 [size=\"41697280\", alpha=\"0.08\", expect_size=\"12509184\"] \n  15 -> 17 [size =\"12509184\"]\n  15 -> 18 [size =\"12509184\"]\n  16 [size=\"68522667\", alpha=\"0.00\", expect_size=\"20556800\"] \n  16 -> 18 [size =\"20556800\"]\n  17 [size=\"77206187\", alpha=\"0.11\", expect_size=\"23161856\"] \n  18 [size=\"81879040\", alpha=\"0.07\", expect_size=\"24563712\"] \n  18 -> 19 [size =\"24563712\"]\n  19 [size=\"73417387\", alpha=\"0.11\", expect_size=\"22025216\"] \n  19 -> 20 [size =\"22025216\"]\n  19 -> 21 [size =\"22025216\"]\n  20 [size=\"70041600\", alpha=\"0.17\", expect_size=\"21012480\"] \n  20 -> 22 [size =\"21012480\"]\n  21 [size=\"89019733\", alpha=\"0.14\", expect_size=\"26705920\"] \n  21 -> 22 [size =\"26705920\"]\n  22 [size=\"142916267\", alpha=\"0.03\", expect_size=\"42874880\"] \n  22 -> 23 [size =\"42874880\"]\n  23 [size=\"57316693\", alpha=\"0.02\", expect_size=\"17195008\"] \n  23 -> 24 [size =\"17195008\"]\n  24 [size=\"87203840\", alpha=\"0.04\", expect_size=\"26161152\"] \n  24 -> 25 [size =\"26161152\"]\n  24 -> 26 [size =\"26161152\"]\n  25 [size=\"171758933\", alpha=\"0.09\", expect_size=\"51527680\"] \n  25 -> 27 [size =\"51527680\"]\n  26 [size=\"78926507\", alpha=\"0.10\", expect_size=\"23677952\"] \n  26 -> 27 [size =\"23677952\"]\n  27 [size=\"79141547\", alpha=\"0.20\", expect_size=\"23742464\"] \n  27 -> 28 [size =\"23742464\"]\n  28 [size=\"166307840\", alpha=\"0.09\", expect_size=\"49892352\"] \n  28 -> 29 [size =\"49892352\"]\n  28 -> 30 [size =\"49892352\"]\n  29 [size=\"61003093\", alpha=\"0.03\", expect_size=\"18300928\"] \n  30 [size=\"145087147\", alpha=\"0.02\", expect_size=\"43526144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19786240\", alpha=\"0.06\", expect_size=\"7914496\"] \n  1 -> 7 [size =\"7914496\"]\n  2 [size=\"101440000\", alpha=\"0.01\", expect_size=\"40576000\"] \n  2 -> 5 [size =\"40576000\"]\n  2 -> 6 [size =\"40576000\"]\n  2 -> 8 [size =\"40576000\"]\n  3 [size=\"17697280\", alpha=\"0.18\", expect_size=\"7078912\"] \n  3 -> 6 [size =\"7078912\"]\n  3 -> 8 [size =\"7078912\"]\n  4 [size=\"127390720\", alpha=\"0.16\", expect_size=\"50956288\"] \n  5 [size=\"62277120\", alpha=\"0.04\", expect_size=\"24910848\"] \n  5 -> 11 [size =\"24910848\"]\n  6 [size=\"66385920\", alpha=\"0.03\", expect_size=\"26554368\"] \n  6 -> 9 [size =\"26554368\"]\n  6 -> 12 [size =\"26554368\"]\n  7 [size=\"76766720\", alpha=\"0.16\", expect_size=\"30706688\"] \n  8 [size=\"108536320\", alpha=\"0.12\", expect_size=\"43414528\"] \n  8 -> 9 [size =\"43414528\"]\n  8 -> 10 [size =\"43414528\"]\n  9 [size=\"24780800\", alpha=\"0.01\", expect_size=\"9912320\"] \n  9 -> 13 [size =\"9912320\"]\n  9 -> 15 [size =\"9912320\"]\n  10 [size=\"56087040\", alpha=\"0.17\", expect_size=\"22434816\"] \n  10 -> 15 [size =\"22434816\"]\n  10 -> 16 [size =\"22434816\"]\n  11 [size=\"36034560\", alpha=\"0.19\", expect_size=\"14413824\"] \n  11 -> 14 [size =\"14413824\"]\n  12 [size=\"69859840\", alpha=\"0.14\", expect_size=\"27943936\"] \n  13 [size=\"75750400\", alpha=\"0.05\", expect_size=\"30300160\"] \n  13 -> 18 [size =\"30300160\"]\n  14 [size=\"63119360\", alpha=\"0.18\", expect_size=\"25247744\"] \n  14 -> 17 [size =\"25247744\"]\n  15 [size=\"37696000\", alpha=\"0.06\", expect_size=\"15078400\"] \n  15 -> 17 [size =\"15078400\"]\n  15 -> 18 [size =\"15078400\"]\n  16 [size=\"63047680\", alpha=\"0.03\", expect_size=\"25219072\"] \n  16 -> 19 [size =\"25219072\"]\n  16 -> 20 [size =\"25219072\"]\n  17 [size=\"82250240\", alpha=\"0.07\", expect_size=\"32900096\"] \n  17 -> 21 [size =\"32900096\"]\n  17 -> 24 [size =\"32900096\"]\n  17 -> 25 [size =\"32900096\"]\n  18 [size=\"61409280\", alpha=\"0.07\", expect_size=\"24563712\"] \n  18 -> 22 [size =\"24563712\"]\n  18 -> 24 [size =\"24563712\"]\n  19 [size=\"15823360\", alpha=\"0.14\", expect_size=\"6329344\"] \n  20 [size=\"19993600\", alpha=\"0.02\", expect_size=\"7997440\"] \n  20 -> 21 [size =\"7997440\"]\n  20 -> 22 [size =\"7997440\"]\n  20 -> 23 [size =\"7997440\"]\n  21 [size=\"122265600\", alpha=\"0.12\", expect_size=\"48906240\"] \n  21 -> 26 [size =\"48906240\"]\n  22 [size=\"117404160\", alpha=\"0.17\", expect_size=\"46961664\"] \n  22 -> 26 [size =\"46961664\"]\n  22 -> 28 [size =\"46961664\"]\n  22 -> 29 [size =\"46961664\"]\n  23 [size=\"82798080\", alpha=\"0.03\", expect_size=\"33119232\"] \n  23 -> 27 [size =\"33119232\"]\n  23 -> 28 [size =\"33119232\"]\n  23 -> 29 [size =\"33119232\"]\n  24 [size=\"110067200\", alpha=\"0.08\", expect_size=\"44026880\"] \n  24 -> 26 [size =\"44026880\"]\n  24 -> 27 [size =\"44026880\"]\n  24 -> 28 [size =\"44026880\"]\n  24 -> 29 [size =\"44026880\"]\n  25 [size=\"99737600\", alpha=\"0.02\", expect_size=\"39895040\"] \n  25 -> 30 [size =\"39895040\"]\n  26 [size=\"16194560\", alpha=\"0.04\", expect_size=\"6477824\"] \n  27 [size=\"35317760\", alpha=\"0.18\", expect_size=\"14127104\"] \n  28 [size=\"74667520\", alpha=\"0.07\", expect_size=\"29867008\"] \n  29 [size=\"113569280\", alpha=\"0.18\", expect_size=\"45427712\"] \n  30 [size=\"75888640\", alpha=\"0.17\", expect_size=\"30355456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76765184\", alpha=\"0.05\", expect_size=\"38382592\"] \n  1 -> 6 [size =\"38382592\"]\n  1 -> 7 [size =\"38382592\"]\n  2 [size=\"64360448\", alpha=\"0.13\", expect_size=\"32180224\"] \n  2 -> 5 [size =\"32180224\"]\n  2 -> 7 [size =\"32180224\"]\n  3 [size=\"11106304\", alpha=\"0.17\", expect_size=\"5553152\"] \n  3 -> 4 [size =\"5553152\"]\n  3 -> 6 [size =\"5553152\"]\n  4 [size=\"77324288\", alpha=\"0.15\", expect_size=\"38662144\"] \n  4 -> 10 [size =\"38662144\"]\n  4 -> 12 [size =\"38662144\"]\n  5 [size=\"12556288\", alpha=\"0.07\", expect_size=\"6278144\"] \n  5 -> 8 [size =\"6278144\"]\n  5 -> 11 [size =\"6278144\"]\n  6 [size=\"20844544\", alpha=\"0.10\", expect_size=\"10422272\"] \n  6 -> 11 [size =\"10422272\"]\n  6 -> 12 [size =\"10422272\"]\n  7 [size=\"65929216\", alpha=\"0.10\", expect_size=\"32964608\"] \n  7 -> 9 [size =\"32964608\"]\n  7 -> 10 [size =\"32964608\"]\n  7 -> 12 [size =\"32964608\"]\n  8 [size=\"68947968\", alpha=\"0.10\", expect_size=\"34473984\"] \n  8 -> 14 [size =\"34473984\"]\n  8 -> 15 [size =\"34473984\"]\n  8 -> 18 [size =\"34473984\"]\n  9 [size=\"85917696\", alpha=\"0.08\", expect_size=\"42958848\"] \n  9 -> 14 [size =\"42958848\"]\n  9 -> 15 [size =\"42958848\"]\n  9 -> 16 [size =\"42958848\"]\n  9 -> 18 [size =\"42958848\"]\n  10 [size=\"34861056\", alpha=\"0.09\", expect_size=\"17430528\"] \n  10 -> 14 [size =\"17430528\"]\n  10 -> 15 [size =\"17430528\"]\n  10 -> 17 [size =\"17430528\"]\n  11 [size=\"48599040\", alpha=\"0.08\", expect_size=\"24299520\"] \n  11 -> 13 [size =\"24299520\"]\n  11 -> 15 [size =\"24299520\"]\n  11 -> 16 [size =\"24299520\"]\n  12 [size=\"73760768\", alpha=\"0.05\", expect_size=\"36880384\"] \n  12 -> 13 [size =\"36880384\"]\n  12 -> 16 [size =\"36880384\"]\n  13 [size=\"39915520\", alpha=\"0.02\", expect_size=\"19957760\"] \n  13 -> 21 [size =\"19957760\"]\n  14 [size=\"23969792\", alpha=\"0.15\", expect_size=\"11984896\"] \n  14 -> 21 [size =\"11984896\"]\n  14 -> 22 [size =\"11984896\"]\n  15 [size=\"93777920\", alpha=\"0.12\", expect_size=\"46888960\"] \n  15 -> 19 [size =\"46888960\"]\n  15 -> 21 [size =\"46888960\"]\n  15 -> 22 [size =\"46888960\"]\n  16 [size=\"33081344\", alpha=\"0.14\", expect_size=\"16540672\"] \n  16 -> 19 [size =\"16540672\"]\n  17 [size=\"80103424\", alpha=\"0.09\", expect_size=\"40051712\"] \n  17 -> 19 [size =\"40051712\"]\n  17 -> 20 [size =\"40051712\"]\n  18 [size=\"32411648\", alpha=\"0.06\", expect_size=\"16205824\"] \n  18 -> 19 [size =\"16205824\"]\n  18 -> 20 [size =\"16205824\"]\n  18 -> 22 [size =\"16205824\"]\n  19 [size=\"79796224\", alpha=\"0.13\", expect_size=\"39898112\"] \n  19 -> 23 [size =\"39898112\"]\n  20 [size=\"23990272\", alpha=\"0.06\", expect_size=\"11995136\"] \n  20 -> 24 [size =\"11995136\"]\n  20 -> 26 [size =\"11995136\"]\n  21 [size=\"67579904\", alpha=\"0.13\", expect_size=\"33789952\"] \n  21 -> 23 [size =\"33789952\"]\n  21 -> 25 [size =\"33789952\"]\n  21 -> 26 [size =\"33789952\"]\n  22 [size=\"12789760\", alpha=\"0.12\", expect_size=\"6394880\"] \n  22 -> 23 [size =\"6394880\"]\n  22 -> 25 [size =\"6394880\"]\n  22 -> 26 [size =\"6394880\"]\n  23 [size=\"38619136\", alpha=\"0.10\", expect_size=\"19309568\"] \n  23 -> 27 [size =\"19309568\"]\n  24 [size=\"46917632\", alpha=\"0.03\", expect_size=\"23458816\"] \n  24 -> 27 [size =\"23458816\"]\n  24 -> 28 [size =\"23458816\"]\n  24 -> 29 [size =\"23458816\"]\n  25 [size=\"24387584\", alpha=\"0.16\", expect_size=\"12193792\"] \n  25 -> 28 [size =\"12193792\"]\n  25 -> 29 [size =\"12193792\"]\n  26 [size=\"79824896\", alpha=\"0.11\", expect_size=\"39912448\"] \n  26 -> 28 [size =\"39912448\"]\n  26 -> 29 [size =\"39912448\"]\n  27 [size=\"52692992\", alpha=\"0.19\", expect_size=\"26346496\"] \n  28 [size=\"93290496\", alpha=\"0.18\", expect_size=\"46645248\"] \n  28 -> 30 [size =\"46645248\"]\n  29 [size=\"25272320\", alpha=\"0.14\", expect_size=\"12636160\"] \n  30 [size=\"87121920\", alpha=\"0.14\", expect_size=\"43560960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23216128\", alpha=\"0.07\", expect_size=\"11608064\"] \n  1 -> 27 [size =\"11608064\"]\n  1 -> 27 [size =\"11608064\"]\n  1 -> 28 [size =\"11608064\"]\n  2 [size=\"78215168\", alpha=\"0.05\", expect_size=\"39107584\"] \n  2 -> 30 [size =\"39107584\"]\n  3 [size=\"40378368\", alpha=\"0.06\", expect_size=\"20189184\"] \n  3 -> 27 [size =\"20189184\"]\n  3 -> 29 [size =\"20189184\"]\n  3 -> 30 [size =\"20189184\"]\n  4 [size=\"48105472\", alpha=\"0.15\", expect_size=\"24052736\"] \n  4 -> 26 [size =\"24052736\"]\n  4 -> 27 [size =\"24052736\"]\n  4 -> 28 [size =\"24052736\"]\n  4 -> 30 [size =\"24052736\"]\n  5 [size=\"104323072\", alpha=\"0.04\", expect_size=\"52161536\"] \n  5 -> 26 [size =\"52161536\"]\n  5 -> 27 [size =\"52161536\"]\n  5 -> 28 [size =\"52161536\"]\n  5 -> 30 [size =\"52161536\"]\n  6 [size=\"80508928\", alpha=\"0.01\", expect_size=\"40254464\"] \n  6 -> 26 [size =\"40254464\"]\n  6 -> 27 [size =\"40254464\"]\n  6 -> 28 [size =\"40254464\"]\n  7 [size=\"26775552\", alpha=\"0.15\", expect_size=\"13387776\"] \n  7 -> 26 [size =\"13387776\"]\n  7 -> 27 [size =\"13387776\"]\n  7 -> 30 [size =\"13387776\"]\n  8 [size=\"44347392\", alpha=\"0.09\", expect_size=\"22173696\"] \n  8 -> 27 [size =\"22173696\"]\n  8 -> 28 [size =\"22173696\"]\n  8 -> 29 [size =\"22173696\"]\n  8 -> 30 [size =\"22173696\"]\n  9 [size=\"59068416\", alpha=\"0.04\", expect_size=\"29534208\"] \n  9 -> 27 [size =\"29534208\"]\n  9 -> 30 [size =\"29534208\"]\n  10 [size=\"81838080\", alpha=\"0.18\", expect_size=\"40919040\"] \n  10 -> 27 [size =\"40919040\"]\n  10 -> 29 [size =\"40919040\"]\n  10 -> 30 [size =\"40919040\"]\n  11 [size=\"35340288\", alpha=\"0.19\", expect_size=\"17670144\"] \n  11 -> 26 [size =\"17670144\"]\n  11 -> 30 [size =\"17670144\"]\n  12 [size=\"66349056\", alpha=\"0.05\", expect_size=\"33174528\"] \n  13 [size=\"88762368\", alpha=\"0.17\", expect_size=\"44381184\"] \n  14 [size=\"21555200\", alpha=\"0.11\", expect_size=\"10777600\"] \n  14 -> 26 [size =\"10777600\"]\n  14 -> 27 [size =\"10777600\"]\n  14 -> 30 [size =\"10777600\"]\n  15 [size=\"92116992\", alpha=\"0.05\", expect_size=\"46058496\"] \n  15 -> 26 [size =\"46058496\"]\n  16 [size=\"16398336\", alpha=\"0.07\", expect_size=\"8199168\"] \n  16 -> 26 [size =\"8199168\"]\n  16 -> 30 [size =\"8199168\"]\n  17 [size=\"22786048\", alpha=\"0.06\", expect_size=\"11393024\"] \n  17 -> 26 [size =\"11393024\"]\n  17 -> 30 [size =\"11393024\"]\n  18 [size=\"95246336\", alpha=\"0.18\", expect_size=\"47623168\"] \n  18 -> 26 [size =\"47623168\"]\n  18 -> 28 [size =\"47623168\"]\n  18 -> 30 [size =\"47623168\"]\n  19 [size=\"44619776\", alpha=\"0.10\", expect_size=\"22309888\"] \n  19 -> 26 [size =\"22309888\"]\n  19 -> 27 [size =\"22309888\"]\n  19 -> 29 [size =\"22309888\"]\n  19 -> 30 [size =\"22309888\"]\n  20 [size=\"62363648\", alpha=\"0.02\", expect_size=\"31181824\"] \n  20 -> 27 [size =\"31181824\"]\n  21 [size=\"54269952\", alpha=\"0.16\", expect_size=\"27134976\"] \n  21 -> 26 [size =\"27134976\"]\n  21 -> 27 [size =\"27134976\"]\n  21 -> 28 [size =\"27134976\"]\n  21 -> 29 [size =\"27134976\"]\n  21 -> 30 [size =\"27134976\"]\n  22 [size=\"50823168\", alpha=\"0.05\", expect_size=\"25411584\"] \n  22 -> 26 [size =\"25411584\"]\n  22 -> 27 [size =\"25411584\"]\n  23 [size=\"73646080\", alpha=\"0.01\", expect_size=\"36823040\"] \n  23 -> 27 [size =\"36823040\"]\n  23 -> 29 [size =\"36823040\"]\n  24 [size=\"61609984\", alpha=\"0.04\", expect_size=\"30804992\"] \n  24 -> 26 [size =\"30804992\"]\n  24 -> 27 [size =\"30804992\"]\n  25 [size=\"17633280\", alpha=\"0.07\", expect_size=\"8816640\"] \n  25 -> 26 [size =\"8816640\"]\n  25 -> 27 [size =\"8816640\"]\n  26 [size=\"43409408\", alpha=\"0.05\", expect_size=\"21704704\"] \n  27 [size=\"75483136\", alpha=\"0.07\", expect_size=\"37741568\"] \n  28 [size=\"102184960\", alpha=\"0.15\", expect_size=\"51092480\"] \n  29 [size=\"90613760\", alpha=\"0.14\", expect_size=\"45306880\"] \n  30 [size=\"43261952\", alpha=\"0.08\", expect_size=\"21630976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70314667\", alpha=\"0.05\", expect_size=\"21094400\"] \n  1 -> 2 [size =\"21094400\"]\n  2 [size=\"108404053\", alpha=\"0.09\", expect_size=\"32521216\"] \n  2 -> 3 [size =\"32521216\"]\n  3 [size=\"133857280\", alpha=\"0.15\", expect_size=\"40157184\"] \n  3 -> 4 [size =\"40157184\"]\n  4 [size=\"44332373\", alpha=\"0.01\", expect_size=\"13299712\"] \n  4 -> 5 [size =\"13299712\"]\n  5 [size=\"79919787\", alpha=\"0.19\", expect_size=\"23975936\"] \n  5 -> 6 [size =\"23975936\"]\n  6 [size=\"77127680\", alpha=\"0.10\", expect_size=\"23138304\"] \n  6 -> 7 [size =\"23138304\"]\n  7 [size=\"41939627\", alpha=\"0.08\", expect_size=\"12581888\"] \n  7 -> 8 [size =\"12581888\"]\n  8 [size=\"171598507\", alpha=\"0.11\", expect_size=\"51479552\"] \n  8 -> 9 [size =\"51479552\"]\n  9 [size=\"110182400\", alpha=\"0.20\", expect_size=\"33054720\"] \n  9 -> 10 [size =\"33054720\"]\n  10 [size=\"22814720\", alpha=\"0.18\", expect_size=\"6844416\"] \n  10 -> 11 [size =\"6844416\"]\n  11 [size=\"163737600\", alpha=\"0.04\", expect_size=\"49121280\"] \n  11 -> 12 [size =\"49121280\"]\n  12 [size=\"42895360\", alpha=\"0.04\", expect_size=\"12868608\"] \n  12 -> 13 [size =\"12868608\"]\n  13 [size=\"110694400\", alpha=\"0.05\", expect_size=\"33208320\"] \n  13 -> 14 [size =\"33208320\"]\n  14 [size=\"73209173\", alpha=\"0.11\", expect_size=\"21962752\"] \n  14 -> 15 [size =\"21962752\"]\n  15 [size=\"84534613\", alpha=\"0.17\", expect_size=\"25360384\"] \n  15 -> 16 [size =\"25360384\"]\n  16 [size=\"73099947\", alpha=\"0.16\", expect_size=\"21929984\"] \n  16 -> 17 [size =\"21929984\"]\n  17 [size=\"150620160\", alpha=\"0.14\", expect_size=\"45186048\"] \n  17 -> 18 [size =\"45186048\"]\n  18 [size=\"54606507\", alpha=\"0.13\", expect_size=\"16381952\"] \n  18 -> 19 [size =\"16381952\"]\n  19 [size=\"144121173\", alpha=\"0.13\", expect_size=\"43236352\"] \n  19 -> 20 [size =\"43236352\"]\n  20 [size=\"143844693\", alpha=\"0.14\", expect_size=\"43153408\"] \n  20 -> 21 [size =\"43153408\"]\n  21 [size=\"124856320\", alpha=\"0.02\", expect_size=\"37456896\"] \n  21 -> 22 [size =\"37456896\"]\n  22 [size=\"156999680\", alpha=\"0.01\", expect_size=\"47099904\"] \n  22 -> 23 [size =\"47099904\"]\n  23 [size=\"34341547\", alpha=\"0.14\", expect_size=\"10302464\"] \n  23 -> 24 [size =\"10302464\"]\n  24 [size=\"71751680\", alpha=\"0.12\", expect_size=\"21525504\"] \n  24 -> 25 [size =\"21525504\"]\n  25 [size=\"159409493\", alpha=\"0.17\", expect_size=\"47822848\"] \n  25 -> 26 [size =\"47822848\"]\n  26 [size=\"134724267\", alpha=\"0.10\", expect_size=\"40417280\"] \n  26 -> 27 [size =\"40417280\"]\n  27 [size=\"101683200\", alpha=\"0.05\", expect_size=\"30504960\"] \n  27 -> 28 [size =\"30504960\"]\n  28 [size=\"53445973\", alpha=\"0.01\", expect_size=\"16033792\"] \n  28 -> 29 [size =\"16033792\"]\n  29 [size=\"156067840\", alpha=\"0.08\", expect_size=\"46820352\"] \n  29 -> 30 [size =\"46820352\"]\n  30 [size=\"104250027\", alpha=\"0.16\", expect_size=\"31275008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23503360\", alpha=\"0.14\", expect_size=\"9401344\"] \n  1 -> 2 [size =\"9401344\"]\n  2 [size=\"123955200\", alpha=\"0.16\", expect_size=\"49582080\"] \n  2 -> 3 [size =\"49582080\"]\n  3 [size=\"18790400\", alpha=\"0.04\", expect_size=\"7516160\"] \n  3 -> 4 [size =\"7516160\"]\n  4 [size=\"24455680\", alpha=\"0.11\", expect_size=\"9782272\"] \n  4 -> 5 [size =\"9782272\"]\n  5 [size=\"31270400\", alpha=\"0.11\", expect_size=\"12508160\"] \n  5 -> 6 [size =\"12508160\"]\n  6 [size=\"28321280\", alpha=\"0.19\", expect_size=\"11328512\"] \n  6 -> 7 [size =\"11328512\"]\n  7 [size=\"124648960\", alpha=\"0.14\", expect_size=\"49859584\"] \n  7 -> 8 [size =\"49859584\"]\n  8 [size=\"122703360\", alpha=\"0.06\", expect_size=\"49081344\"] \n  8 -> 9 [size =\"49081344\"]\n  9 [size=\"48325120\", alpha=\"0.04\", expect_size=\"19330048\"] \n  9 -> 10 [size =\"19330048\"]\n  10 [size=\"93826560\", alpha=\"0.06\", expect_size=\"37530624\"] \n  10 -> 11 [size =\"37530624\"]\n  11 [size=\"99724800\", alpha=\"0.01\", expect_size=\"39889920\"] \n  11 -> 12 [size =\"39889920\"]\n  12 [size=\"66406400\", alpha=\"0.13\", expect_size=\"26562560\"] \n  12 -> 13 [size =\"26562560\"]\n  13 [size=\"41830400\", alpha=\"0.10\", expect_size=\"16732160\"] \n  13 -> 14 [size =\"16732160\"]\n  14 [size=\"67822080\", alpha=\"0.05\", expect_size=\"27128832\"] \n  14 -> 15 [size =\"27128832\"]\n  15 [size=\"15800320\", alpha=\"0.07\", expect_size=\"6320128\"] \n  15 -> 16 [size =\"6320128\"]\n  16 [size=\"78208000\", alpha=\"0.10\", expect_size=\"31283200\"] \n  16 -> 17 [size =\"31283200\"]\n  17 [size=\"74777600\", alpha=\"0.10\", expect_size=\"29911040\"] \n  17 -> 18 [size =\"29911040\"]\n  18 [size=\"40179200\", alpha=\"0.04\", expect_size=\"16071680\"] \n  18 -> 19 [size =\"16071680\"]\n  19 [size=\"76738560\", alpha=\"0.09\", expect_size=\"30695424\"] \n  19 -> 20 [size =\"30695424\"]\n  20 [size=\"102545920\", alpha=\"0.12\", expect_size=\"41018368\"] \n  20 -> 21 [size =\"41018368\"]\n  21 [size=\"21079040\", alpha=\"0.16\", expect_size=\"8431616\"] \n  21 -> 22 [size =\"8431616\"]\n  22 [size=\"28723200\", alpha=\"0.00\", expect_size=\"11489280\"] \n  22 -> 23 [size =\"11489280\"]\n  23 [size=\"106068480\", alpha=\"0.05\", expect_size=\"42427392\"] \n  23 -> 24 [size =\"42427392\"]\n  24 [size=\"44224000\", alpha=\"0.11\", expect_size=\"17689600\"] \n  24 -> 25 [size =\"17689600\"]\n  25 [size=\"76431360\", alpha=\"0.00\", expect_size=\"30572544\"] \n  25 -> 26 [size =\"30572544\"]\n  26 [size=\"117288960\", alpha=\"0.13\", expect_size=\"46915584\"] \n  26 -> 27 [size =\"46915584\"]\n  27 [size=\"59294720\", alpha=\"0.04\", expect_size=\"23717888\"] \n  27 -> 28 [size =\"23717888\"]\n  28 [size=\"121024000\", alpha=\"0.13\", expect_size=\"48409600\"] \n  28 -> 29 [size =\"48409600\"]\n  29 [size=\"28326400\", alpha=\"0.09\", expect_size=\"11330560\"] \n  29 -> 30 [size =\"11330560\"]\n  30 [size=\"79910400\", alpha=\"0.18\", expect_size=\"31964160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20899840\", alpha=\"0.10\", expect_size=\"10449920\"] \n  1 -> 2 [size =\"10449920\"]\n  2 [size=\"19007488\", alpha=\"0.07\", expect_size=\"9503744\"] \n  2 -> 3 [size =\"9503744\"]\n  2 -> 4 [size =\"9503744\"]\n  3 [size=\"84066304\", alpha=\"0.05\", expect_size=\"42033152\"] \n  4 [size=\"24383488\", alpha=\"0.13\", expect_size=\"12191744\"] \n  4 -> 5 [size =\"12191744\"]\n  5 [size=\"70436864\", alpha=\"0.02\", expect_size=\"35218432\"] \n  5 -> 6 [size =\"35218432\"]\n  5 -> 7 [size =\"35218432\"]\n  6 [size=\"64350208\", alpha=\"0.01\", expect_size=\"32175104\"] \n  6 -> 8 [size =\"32175104\"]\n  6 -> 9 [size =\"32175104\"]\n  7 [size=\"65382400\", alpha=\"0.14\", expect_size=\"32691200\"] \n  8 [size=\"51093504\", alpha=\"0.15\", expect_size=\"25546752\"] \n  8 -> 10 [size =\"25546752\"]\n  8 -> 11 [size =\"25546752\"]\n  9 [size=\"104226816\", alpha=\"0.05\", expect_size=\"52113408\"] \n  10 [size=\"84680704\", alpha=\"0.10\", expect_size=\"42340352\"] \n  10 -> 12 [size =\"42340352\"]\n  11 [size=\"41768960\", alpha=\"0.05\", expect_size=\"20884480\"] \n  12 [size=\"88236032\", alpha=\"0.15\", expect_size=\"44118016\"] \n  12 -> 13 [size =\"44118016\"]\n  13 [size=\"26732544\", alpha=\"0.01\", expect_size=\"13366272\"] \n  13 -> 14 [size =\"13366272\"]\n  13 -> 15 [size =\"13366272\"]\n  14 [size=\"50636800\", alpha=\"0.16\", expect_size=\"25318400\"] \n  14 -> 16 [size =\"25318400\"]\n  14 -> 17 [size =\"25318400\"]\n  15 [size=\"15812608\", alpha=\"0.11\", expect_size=\"7906304\"] \n  16 [size=\"25446400\", alpha=\"0.17\", expect_size=\"12723200\"] \n  17 [size=\"29954048\", alpha=\"0.06\", expect_size=\"14977024\"] \n  17 -> 18 [size =\"14977024\"]\n  18 [size=\"94855168\", alpha=\"0.02\", expect_size=\"47427584\"] \n  18 -> 19 [size =\"47427584\"]\n  19 [size=\"72054784\", alpha=\"0.17\", expect_size=\"36027392\"] \n  19 -> 20 [size =\"36027392\"]\n  19 -> 21 [size =\"36027392\"]\n  20 [size=\"96278528\", alpha=\"0.19\", expect_size=\"48139264\"] \n  20 -> 22 [size =\"48139264\"]\n  20 -> 23 [size =\"48139264\"]\n  21 [size=\"47613952\", alpha=\"0.03\", expect_size=\"23806976\"] \n  22 [size=\"71645184\", alpha=\"0.09\", expect_size=\"35822592\"] \n  22 -> 24 [size =\"35822592\"]\n  23 [size=\"46053376\", alpha=\"0.10\", expect_size=\"23026688\"] \n  24 [size=\"48420864\", alpha=\"0.14\", expect_size=\"24210432\"] \n  24 -> 25 [size =\"24210432\"]\n  24 -> 26 [size =\"24210432\"]\n  25 [size=\"31399936\", alpha=\"0.11\", expect_size=\"15699968\"] \n  25 -> 27 [size =\"15699968\"]\n  26 [size=\"84742144\", alpha=\"0.20\", expect_size=\"42371072\"] \n  27 [size=\"70961152\", alpha=\"0.20\", expect_size=\"35480576\"] \n  27 -> 28 [size =\"35480576\"]\n  28 [size=\"98633728\", alpha=\"0.08\", expect_size=\"49316864\"] \n  28 -> 29 [size =\"49316864\"]\n  28 -> 30 [size =\"49316864\"]\n  29 [size=\"14055424\", alpha=\"0.17\", expect_size=\"7027712\"] \n  30 [size=\"95229952\", alpha=\"0.01\", expect_size=\"47614976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107840000\", alpha=\"0.03\", expect_size=\"43136000\"] \n  1 -> 14 [size =\"43136000\"]\n  1 -> 15 [size =\"43136000\"]\n  1 -> 17 [size =\"43136000\"]\n  1 -> 18 [size =\"43136000\"]\n  2 [size=\"83939840\", alpha=\"0.06\", expect_size=\"33575936\"] \n  2 -> 13 [size =\"33575936\"]\n  2 -> 14 [size =\"33575936\"]\n  2 -> 15 [size =\"33575936\"]\n  3 [size=\"56394240\", alpha=\"0.07\", expect_size=\"22557696\"] \n  3 -> 12 [size =\"22557696\"]\n  3 -> 15 [size =\"22557696\"]\n  3 -> 16 [size =\"22557696\"]\n  3 -> 17 [size =\"22557696\"]\n  4 [size=\"91668480\", alpha=\"0.08\", expect_size=\"36667392\"] \n  4 -> 11 [size =\"36667392\"]\n  4 -> 14 [size =\"36667392\"]\n  4 -> 16 [size =\"36667392\"]\n  4 -> 17 [size =\"36667392\"]\n  5 [size=\"90426880\", alpha=\"0.02\", expect_size=\"36170752\"] \n  5 -> 13 [size =\"36170752\"]\n  5 -> 14 [size =\"36170752\"]\n  5 -> 15 [size =\"36170752\"]\n  5 -> 16 [size =\"36170752\"]\n  5 -> 17 [size =\"36170752\"]\n  6 [size=\"115535360\", alpha=\"0.18\", expect_size=\"46214144\"] \n  6 -> 13 [size =\"46214144\"]\n  6 -> 14 [size =\"46214144\"]\n  6 -> 16 [size =\"46214144\"]\n  7 [size=\"118952960\", alpha=\"0.19\", expect_size=\"47581184\"] \n  7 -> 14 [size =\"47581184\"]\n  7 -> 17 [size =\"47581184\"]\n  7 -> 18 [size =\"47581184\"]\n  8 [size=\"49210880\", alpha=\"0.04\", expect_size=\"19684352\"] \n  8 -> 13 [size =\"19684352\"]\n  8 -> 15 [size =\"19684352\"]\n  8 -> 17 [size =\"19684352\"]\n  9 [size=\"64704000\", alpha=\"0.10\", expect_size=\"25881600\"] \n  9 -> 14 [size =\"25881600\"]\n  9 -> 15 [size =\"25881600\"]\n  9 -> 17 [size =\"25881600\"]\n  10 [size=\"16832000\", alpha=\"0.02\", expect_size=\"6732800\"] \n  10 -> 14 [size =\"6732800\"]\n  10 -> 17 [size =\"6732800\"]\n  10 -> 17 [size =\"6732800\"]\n  10 -> 18 [size =\"6732800\"]\n  11 [size=\"88903680\", alpha=\"0.01\", expect_size=\"35561472\"] \n  11 -> 20 [size =\"35561472\"]\n  11 -> 24 [size =\"35561472\"]\n  11 -> 25 [size =\"35561472\"]\n  11 -> 26 [size =\"35561472\"]\n  11 -> 28 [size =\"35561472\"]\n  12 [size=\"108636160\", alpha=\"0.16\", expect_size=\"43454464\"] \n  12 -> 21 [size =\"43454464\"]\n  12 -> 26 [size =\"43454464\"]\n  12 -> 27 [size =\"43454464\"]\n  12 -> 28 [size =\"43454464\"]\n  12 -> 28 [size =\"43454464\"]\n  13 [size=\"27084800\", alpha=\"0.10\", expect_size=\"10833920\"] \n  13 -> 19 [size =\"10833920\"]\n  13 -> 21 [size =\"10833920\"]\n  13 -> 22 [size =\"10833920\"]\n  13 -> 24 [size =\"10833920\"]\n  13 -> 26 [size =\"10833920\"]\n  13 -> 27 [size =\"10833920\"]\n  14 [size=\"71022080\", alpha=\"0.09\", expect_size=\"28408832\"] \n  14 -> 19 [size =\"28408832\"]\n  14 -> 21 [size =\"28408832\"]\n  14 -> 23 [size =\"28408832\"]\n  14 -> 24 [size =\"28408832\"]\n  14 -> 25 [size =\"28408832\"]\n  14 -> 26 [size =\"28408832\"]\n  14 -> 27 [size =\"28408832\"]\n  14 -> 28 [size =\"28408832\"]\n  15 [size=\"120156160\", alpha=\"0.16\", expect_size=\"48062464\"] \n  15 -> 20 [size =\"48062464\"]\n  15 -> 21 [size =\"48062464\"]\n  15 -> 22 [size =\"48062464\"]\n  15 -> 27 [size =\"48062464\"]\n  15 -> 28 [size =\"48062464\"]\n  16 [size=\"15498240\", alpha=\"0.11\", expect_size=\"6199296\"] \n  16 -> 19 [size =\"6199296\"]\n  16 -> 21 [size =\"6199296\"]\n  16 -> 22 [size =\"6199296\"]\n  16 -> 24 [size =\"6199296\"]\n  16 -> 26 [size =\"6199296\"]\n  17 [size=\"118976000\", alpha=\"0.18\", expect_size=\"47590400\"] \n  17 -> 19 [size =\"47590400\"]\n  17 -> 21 [size =\"47590400\"]\n  17 -> 22 [size =\"47590400\"]\n  17 -> 24 [size =\"47590400\"]\n  17 -> 25 [size =\"47590400\"]\n  17 -> 26 [size =\"47590400\"]\n  17 -> 27 [size =\"47590400\"]\n  18 [size=\"110876160\", alpha=\"0.02\", expect_size=\"44350464\"] \n  18 -> 19 [size =\"44350464\"]\n  18 -> 21 [size =\"44350464\"]\n  18 -> 24 [size =\"44350464\"]\n  18 -> 25 [size =\"44350464\"]\n  18 -> 26 [size =\"44350464\"]\n  18 -> 27 [size =\"44350464\"]\n  18 -> 28 [size =\"44350464\"]\n  19 [size=\"14704640\", alpha=\"0.07\", expect_size=\"5881856\"] \n  19 -> 29 [size =\"5881856\"]\n  19 -> 30 [size =\"5881856\"]\n  20 [size=\"76436480\", alpha=\"0.19\", expect_size=\"30574592\"] \n  20 -> 29 [size =\"30574592\"]\n  20 -> 30 [size =\"30574592\"]\n  21 [size=\"85731840\", alpha=\"0.06\", expect_size=\"34292736\"] \n  21 -> 30 [size =\"34292736\"]\n  22 [size=\"93102080\", alpha=\"0.06\", expect_size=\"37240832\"] \n  22 -> 29 [size =\"37240832\"]\n  23 [size=\"72189440\", alpha=\"0.13\", expect_size=\"28875776\"] \n  23 -> 30 [size =\"28875776\"]\n  24 [size=\"15132160\", alpha=\"0.14\", expect_size=\"6052864\"] \n  24 -> 30 [size =\"6052864\"]\n  25 [size=\"67461120\", alpha=\"0.07\", expect_size=\"26984448\"] \n  25 -> 30 [size =\"26984448\"]\n  26 [size=\"43904000\", alpha=\"0.18\", expect_size=\"17561600\"] \n  26 -> 29 [size =\"17561600\"]\n  26 -> 30 [size =\"17561600\"]\n  27 [size=\"109148160\", alpha=\"0.07\", expect_size=\"43659264\"] \n  27 -> 29 [size =\"43659264\"]\n  27 -> 30 [size =\"43659264\"]\n  28 [size=\"95344640\", alpha=\"0.02\", expect_size=\"38137856\"] \n  29 [size=\"104691200\", alpha=\"0.06\", expect_size=\"41876480\"] \n  30 [size=\"28101120\", alpha=\"0.10\", expect_size=\"11240448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121917440\", alpha=\"0.13\", expect_size=\"36575232\"] \n  1 -> 21 [size =\"36575232\"]\n  1 -> 22 [size =\"36575232\"]\n  1 -> 23 [size =\"36575232\"]\n  1 -> 26 [size =\"36575232\"]\n  1 -> 29 [size =\"36575232\"]\n  2 [size=\"84998827\", alpha=\"0.14\", expect_size=\"25499648\"] \n  2 -> 23 [size =\"25499648\"]\n  2 -> 29 [size =\"25499648\"]\n  3 [size=\"76612267\", alpha=\"0.08\", expect_size=\"22983680\"] \n  3 -> 23 [size =\"22983680\"]\n  3 -> 26 [size =\"22983680\"]\n  3 -> 27 [size =\"22983680\"]\n  3 -> 29 [size =\"22983680\"]\n  3 -> 30 [size =\"22983680\"]\n  4 [size=\"21108053\", alpha=\"0.15\", expect_size=\"6332416\"] \n  4 -> 22 [size =\"6332416\"]\n  4 -> 23 [size =\"6332416\"]\n  4 -> 26 [size =\"6332416\"]\n  4 -> 27 [size =\"6332416\"]\n  4 -> 29 [size =\"6332416\"]\n  5 [size=\"161761280\", alpha=\"0.10\", expect_size=\"48528384\"] \n  5 -> 21 [size =\"48528384\"]\n  5 -> 23 [size =\"48528384\"]\n  5 -> 26 [size =\"48528384\"]\n  5 -> 29 [size =\"48528384\"]\n  5 -> 29 [size =\"48528384\"]\n  6 [size=\"79353173\", alpha=\"0.04\", expect_size=\"23805952\"] \n  6 -> 21 [size =\"23805952\"]\n  6 -> 23 [size =\"23805952\"]\n  6 -> 26 [size =\"23805952\"]\n  7 [size=\"160157013\", alpha=\"0.06\", expect_size=\"48047104\"] \n  7 -> 21 [size =\"48047104\"]\n  7 -> 22 [size =\"48047104\"]\n  7 -> 23 [size =\"48047104\"]\n  7 -> 28 [size =\"48047104\"]\n  8 [size=\"109257387\", alpha=\"0.05\", expect_size=\"32777216\"] \n  8 -> 27 [size =\"32777216\"]\n  9 [size=\"116428800\", alpha=\"0.03\", expect_size=\"34928640\"] \n  9 -> 23 [size =\"34928640\"]\n  9 -> 24 [size =\"34928640\"]\n  9 -> 27 [size =\"34928640\"]\n  9 -> 29 [size =\"34928640\"]\n  10 [size=\"161365333\", alpha=\"0.09\", expect_size=\"48409600\"] \n  10 -> 21 [size =\"48409600\"]\n  10 -> 22 [size =\"48409600\"]\n  10 -> 23 [size =\"48409600\"]\n  10 -> 26 [size =\"48409600\"]\n  10 -> 29 [size =\"48409600\"]\n  11 [size=\"26480640\", alpha=\"0.14\", expect_size=\"7944192\"] \n  11 -> 21 [size =\"7944192\"]\n  11 -> 23 [size =\"7944192\"]\n  11 -> 26 [size =\"7944192\"]\n  11 -> 26 [size =\"7944192\"]\n  11 -> 28 [size =\"7944192\"]\n  11 -> 29 [size =\"7944192\"]\n  12 [size=\"132502187\", alpha=\"0.12\", expect_size=\"39750656\"] \n  12 -> 21 [size =\"39750656\"]\n  12 -> 22 [size =\"39750656\"]\n  12 -> 23 [size =\"39750656\"]\n  12 -> 25 [size =\"39750656\"]\n  12 -> 26 [size =\"39750656\"]\n  12 -> 29 [size =\"39750656\"]\n  13 [size=\"84346880\", alpha=\"0.01\", expect_size=\"25304064\"] \n  13 -> 21 [size =\"25304064\"]\n  13 -> 23 [size =\"25304064\"]\n  13 -> 23 [size =\"25304064\"]\n  13 -> 25 [size =\"25304064\"]\n  13 -> 26 [size =\"25304064\"]\n  13 -> 29 [size =\"25304064\"]\n  14 [size=\"145636693\", alpha=\"0.15\", expect_size=\"43691008\"] \n  14 -> 28 [size =\"43691008\"]\n  14 -> 29 [size =\"43691008\"]\n  15 [size=\"110066347\", alpha=\"0.12\", expect_size=\"33019904\"] \n  15 -> 26 [size =\"33019904\"]\n  15 -> 29 [size =\"33019904\"]\n  16 [size=\"35136853\", alpha=\"0.12\", expect_size=\"10541056\"] \n  16 -> 21 [size =\"10541056\"]\n  16 -> 23 [size =\"10541056\"]\n  16 -> 24 [size =\"10541056\"]\n  16 -> 27 [size =\"10541056\"]\n  16 -> 28 [size =\"10541056\"]\n  17 [size=\"66228907\", alpha=\"0.12\", expect_size=\"19868672\"] \n  17 -> 21 [size =\"19868672\"]\n  17 -> 23 [size =\"19868672\"]\n  17 -> 28 [size =\"19868672\"]\n  17 -> 29 [size =\"19868672\"]\n  18 [size=\"114906453\", alpha=\"0.20\", expect_size=\"34471936\"] \n  18 -> 21 [size =\"34471936\"]\n  18 -> 22 [size =\"34471936\"]\n  18 -> 23 [size =\"34471936\"]\n  18 -> 26 [size =\"34471936\"]\n  19 [size=\"157740373\", alpha=\"0.01\", expect_size=\"47322112\"] \n  19 -> 23 [size =\"47322112\"]\n  19 -> 28 [size =\"47322112\"]\n  19 -> 29 [size =\"47322112\"]\n  20 [size=\"21118293\", alpha=\"0.17\", expect_size=\"6335488\"] \n  20 -> 21 [size =\"6335488\"]\n  20 -> 23 [size =\"6335488\"]\n  20 -> 28 [size =\"6335488\"]\n  20 -> 29 [size =\"6335488\"]\n  21 [size=\"90924373\", alpha=\"0.06\", expect_size=\"27277312\"] \n  22 [size=\"43243520\", alpha=\"0.03\", expect_size=\"12973056\"] \n  23 [size=\"135802880\", alpha=\"0.08\", expect_size=\"40740864\"] \n  24 [size=\"146718720\", alpha=\"0.13\", expect_size=\"44015616\"] \n  25 [size=\"107100160\", alpha=\"0.16\", expect_size=\"32130048\"] \n  26 [size=\"42376533\", alpha=\"0.08\", expect_size=\"12712960\"] \n  27 [size=\"135734613\", alpha=\"0.17\", expect_size=\"40720384\"] \n  28 [size=\"70707200\", alpha=\"0.19\", expect_size=\"21212160\"] \n  29 [size=\"68556800\", alpha=\"0.13\", expect_size=\"20567040\"] \n  30 [size=\"80124587\", alpha=\"0.05\", expect_size=\"24037376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144384000\", alpha=\"0.19\", expect_size=\"43315200\"] \n  1 -> 11 [size =\"43315200\"]\n  1 -> 12 [size =\"43315200\"]\n  1 -> 16 [size =\"43315200\"]\n  1 -> 18 [size =\"43315200\"]\n  1 -> 20 [size =\"43315200\"]\n  2 [size=\"83411627\", alpha=\"0.04\", expect_size=\"25023488\"] \n  2 -> 12 [size =\"25023488\"]\n  2 -> 16 [size =\"25023488\"]\n  2 -> 17 [size =\"25023488\"]\n  2 -> 18 [size =\"25023488\"]\n  2 -> 20 [size =\"25023488\"]\n  3 [size=\"139533653\", alpha=\"0.01\", expect_size=\"41860096\"] \n  3 -> 11 [size =\"41860096\"]\n  3 -> 12 [size =\"41860096\"]\n  3 -> 13 [size =\"41860096\"]\n  3 -> 16 [size =\"41860096\"]\n  3 -> 17 [size =\"41860096\"]\n  3 -> 18 [size =\"41860096\"]\n  3 -> 20 [size =\"41860096\"]\n  4 [size=\"61637973\", alpha=\"0.11\", expect_size=\"18491392\"] \n  4 -> 12 [size =\"18491392\"]\n  4 -> 14 [size =\"18491392\"]\n  4 -> 16 [size =\"18491392\"]\n  4 -> 18 [size =\"18491392\"]\n  4 -> 19 [size =\"18491392\"]\n  4 -> 20 [size =\"18491392\"]\n  5 [size=\"86626987\", alpha=\"0.02\", expect_size=\"25988096\"] \n  5 -> 11 [size =\"25988096\"]\n  5 -> 12 [size =\"25988096\"]\n  5 -> 13 [size =\"25988096\"]\n  5 -> 18 [size =\"25988096\"]\n  5 -> 19 [size =\"25988096\"]\n  5 -> 20 [size =\"25988096\"]\n  6 [size=\"110093653\", alpha=\"0.13\", expect_size=\"33028096\"] \n  6 -> 11 [size =\"33028096\"]\n  6 -> 12 [size =\"33028096\"]\n  6 -> 13 [size =\"33028096\"]\n  6 -> 15 [size =\"33028096\"]\n  6 -> 17 [size =\"33028096\"]\n  7 [size=\"56989013\", alpha=\"0.01\", expect_size=\"17096704\"] \n  7 -> 11 [size =\"17096704\"]\n  7 -> 12 [size =\"17096704\"]\n  7 -> 13 [size =\"17096704\"]\n  7 -> 14 [size =\"17096704\"]\n  7 -> 15 [size =\"17096704\"]\n  7 -> 17 [size =\"17096704\"]\n  8 [size=\"98314240\", alpha=\"0.18\", expect_size=\"29494272\"] \n  8 -> 11 [size =\"29494272\"]\n  8 -> 13 [size =\"29494272\"]\n  8 -> 16 [size =\"29494272\"]\n  8 -> 17 [size =\"29494272\"]\n  8 -> 18 [size =\"29494272\"]\n  8 -> 19 [size =\"29494272\"]\n  8 -> 20 [size =\"29494272\"]\n  9 [size=\"131642027\", alpha=\"0.12\", expect_size=\"39492608\"] \n  9 -> 11 [size =\"39492608\"]\n  9 -> 16 [size =\"39492608\"]\n  9 -> 16 [size =\"39492608\"]\n  9 -> 18 [size =\"39492608\"]\n  9 -> 19 [size =\"39492608\"]\n  9 -> 20 [size =\"39492608\"]\n  10 [size=\"94112427\", alpha=\"0.00\", expect_size=\"28233728\"] \n  10 -> 11 [size =\"28233728\"]\n  10 -> 12 [size =\"28233728\"]\n  10 -> 13 [size =\"28233728\"]\n  10 -> 14 [size =\"28233728\"]\n  10 -> 15 [size =\"28233728\"]\n  10 -> 16 [size =\"28233728\"]\n  10 -> 18 [size =\"28233728\"]\n  10 -> 20 [size =\"28233728\"]\n  11 [size=\"55514453\", alpha=\"0.10\", expect_size=\"16654336\"] \n  11 -> 22 [size =\"16654336\"]\n  11 -> 29 [size =\"16654336\"]\n  12 [size=\"51312640\", alpha=\"0.03\", expect_size=\"15393792\"] \n  12 -> 21 [size =\"15393792\"]\n  12 -> 22 [size =\"15393792\"]\n  12 -> 23 [size =\"15393792\"]\n  12 -> 24 [size =\"15393792\"]\n  12 -> 26 [size =\"15393792\"]\n  12 -> 29 [size =\"15393792\"]\n  13 [size=\"83319467\", alpha=\"0.12\", expect_size=\"24995840\"] \n  13 -> 23 [size =\"24995840\"]\n  13 -> 25 [size =\"24995840\"]\n  13 -> 26 [size =\"24995840\"]\n  13 -> 29 [size =\"24995840\"]\n  14 [size=\"89876480\", alpha=\"0.15\", expect_size=\"26962944\"] \n  14 -> 22 [size =\"26962944\"]\n  14 -> 23 [size =\"26962944\"]\n  14 -> 28 [size =\"26962944\"]\n  14 -> 29 [size =\"26962944\"]\n  15 [size=\"22036480\", alpha=\"0.19\", expect_size=\"6610944\"] \n  15 -> 21 [size =\"6610944\"]\n  15 -> 22 [size =\"6610944\"]\n  15 -> 27 [size =\"6610944\"]\n  15 -> 29 [size =\"6610944\"]\n  16 [size=\"37836800\", alpha=\"0.12\", expect_size=\"11351040\"] \n  16 -> 21 [size =\"11351040\"]\n  16 -> 22 [size =\"11351040\"]\n  16 -> 24 [size =\"11351040\"]\n  16 -> 29 [size =\"11351040\"]\n  17 [size=\"141598720\", alpha=\"0.18\", expect_size=\"42479616\"] \n  17 -> 21 [size =\"42479616\"]\n  17 -> 23 [size =\"42479616\"]\n  17 -> 24 [size =\"42479616\"]\n  17 -> 27 [size =\"42479616\"]\n  17 -> 28 [size =\"42479616\"]\n  18 [size=\"146329600\", alpha=\"0.14\", expect_size=\"43898880\"] \n  18 -> 22 [size =\"43898880\"]\n  18 -> 23 [size =\"43898880\"]\n  18 -> 24 [size =\"43898880\"]\n  18 -> 26 [size =\"43898880\"]\n  18 -> 28 [size =\"43898880\"]\n  18 -> 29 [size =\"43898880\"]\n  19 [size=\"128389120\", alpha=\"0.02\", expect_size=\"38516736\"] \n  19 -> 22 [size =\"38516736\"]\n  19 -> 23 [size =\"38516736\"]\n  19 -> 24 [size =\"38516736\"]\n  19 -> 28 [size =\"38516736\"]\n  19 -> 29 [size =\"38516736\"]\n  20 [size=\"69225813\", alpha=\"0.04\", expect_size=\"20767744\"] \n  20 -> 22 [size =\"20767744\"]\n  20 -> 24 [size =\"20767744\"]\n  20 -> 24 [size =\"20767744\"]\n  20 -> 27 [size =\"20767744\"]\n  20 -> 28 [size =\"20767744\"]\n  20 -> 29 [size =\"20767744\"]\n  21 [size=\"71584427\", alpha=\"0.02\", expect_size=\"21475328\"] \n  22 [size=\"151548587\", alpha=\"0.08\", expect_size=\"45464576\"] \n  23 [size=\"21766827\", alpha=\"0.10\", expect_size=\"6530048\"] \n  23 -> 30 [size =\"6530048\"]\n  24 [size=\"113588907\", alpha=\"0.17\", expect_size=\"34076672\"] \n  25 [size=\"72478720\", alpha=\"0.13\", expect_size=\"21743616\"] \n  26 [size=\"61702827\", alpha=\"0.01\", expect_size=\"18510848\"] \n  26 -> 30 [size =\"18510848\"]\n  27 [size=\"152630613\", alpha=\"0.14\", expect_size=\"45789184\"] \n  27 -> 30 [size =\"45789184\"]\n  28 [size=\"137311573\", alpha=\"0.17\", expect_size=\"41193472\"] \n  29 [size=\"88746667\", alpha=\"0.15\", expect_size=\"26624000\"] \n  29 -> 30 [size =\"26624000\"]\n  30 [size=\"108226560\", alpha=\"0.02\", expect_size=\"32467968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66242560\", alpha=\"0.16\", expect_size=\"33121280\"] \n  1 -> 3 [size =\"33121280\"]\n  1 -> 4 [size =\"33121280\"]\n  2 [size=\"90337280\", alpha=\"0.11\", expect_size=\"45168640\"] \n  3 [size=\"54147072\", alpha=\"0.10\", expect_size=\"27073536\"] \n  3 -> 5 [size =\"27073536\"]\n  4 [size=\"56033280\", alpha=\"0.10\", expect_size=\"28016640\"] \n  4 -> 5 [size =\"28016640\"]\n  5 [size=\"81041408\", alpha=\"0.10\", expect_size=\"40520704\"] \n  5 -> 6 [size =\"40520704\"]\n  5 -> 7 [size =\"40520704\"]\n  6 [size=\"21174272\", alpha=\"0.06\", expect_size=\"10587136\"] \n  6 -> 8 [size =\"10587136\"]\n  7 [size=\"19322880\", alpha=\"0.14\", expect_size=\"9661440\"] \n  8 [size=\"98482176\", alpha=\"0.01\", expect_size=\"49241088\"] \n  8 -> 9 [size =\"49241088\"]\n  9 [size=\"40976384\", alpha=\"0.09\", expect_size=\"20488192\"] \n  9 -> 10 [size =\"20488192\"]\n  9 -> 11 [size =\"20488192\"]\n  10 [size=\"32466944\", alpha=\"0.09\", expect_size=\"16233472\"] \n  10 -> 12 [size =\"16233472\"]\n  10 -> 13 [size =\"16233472\"]\n  11 [size=\"35966976\", alpha=\"0.13\", expect_size=\"17983488\"] \n  11 -> 12 [size =\"17983488\"]\n  12 [size=\"17831936\", alpha=\"0.07\", expect_size=\"8915968\"] \n  12 -> 15 [size =\"8915968\"]\n  13 [size=\"67557376\", alpha=\"0.03\", expect_size=\"33778688\"] \n  13 -> 14 [size =\"33778688\"]\n  13 -> 15 [size =\"33778688\"]\n  14 [size=\"21905408\", alpha=\"0.09\", expect_size=\"10952704\"] \n  14 -> 16 [size =\"10952704\"]\n  14 -> 17 [size =\"10952704\"]\n  15 [size=\"67160064\", alpha=\"0.14\", expect_size=\"33580032\"] \n  16 [size=\"21424128\", alpha=\"0.10\", expect_size=\"10712064\"] \n  17 [size=\"48971776\", alpha=\"0.19\", expect_size=\"24485888\"] \n  17 -> 18 [size =\"24485888\"]\n  18 [size=\"19900416\", alpha=\"0.18\", expect_size=\"9950208\"] \n  18 -> 19 [size =\"9950208\"]\n  18 -> 20 [size =\"9950208\"]\n  19 [size=\"25499648\", alpha=\"0.02\", expect_size=\"12749824\"] \n  20 [size=\"66510848\", alpha=\"0.13\", expect_size=\"33255424\"] \n  20 -> 21 [size =\"33255424\"]\n  21 [size=\"13897728\", alpha=\"0.17\", expect_size=\"6948864\"] \n  21 -> 22 [size =\"6948864\"]\n  22 [size=\"74489856\", alpha=\"0.17\", expect_size=\"37244928\"] \n  22 -> 23 [size =\"37244928\"]\n  23 [size=\"13621248\", alpha=\"0.07\", expect_size=\"6810624\"] \n  23 -> 24 [size =\"6810624\"]\n  24 [size=\"27840512\", alpha=\"0.06\", expect_size=\"13920256\"] \n  24 -> 25 [size =\"13920256\"]\n  25 [size=\"72400896\", alpha=\"0.20\", expect_size=\"36200448\"] \n  25 -> 26 [size =\"36200448\"]\n  25 -> 27 [size =\"36200448\"]\n  26 [size=\"42489856\", alpha=\"0.16\", expect_size=\"21244928\"] \n  26 -> 28 [size =\"21244928\"]\n  27 [size=\"89964544\", alpha=\"0.14\", expect_size=\"44982272\"] \n  27 -> 28 [size =\"44982272\"]\n  28 [size=\"86941696\", alpha=\"0.11\", expect_size=\"43470848\"] \n  28 -> 29 [size =\"43470848\"]\n  29 [size=\"78252032\", alpha=\"0.15\", expect_size=\"39126016\"] \n  29 -> 30 [size =\"39126016\"]\n  30 [size=\"87691264\", alpha=\"0.03\", expect_size=\"43845632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76093440\", alpha=\"0.18\", expect_size=\"38046720\"] \n  1 -> 2 [size =\"38046720\"]\n  2 [size=\"16330752\", alpha=\"0.16\", expect_size=\"8165376\"] \n  2 -> 3 [size =\"8165376\"]\n  3 [size=\"44945408\", alpha=\"0.14\", expect_size=\"22472704\"] \n  3 -> 4 [size =\"22472704\"]\n  4 [size=\"100315136\", alpha=\"0.12\", expect_size=\"50157568\"] \n  4 -> 5 [size =\"50157568\"]\n  5 [size=\"67977216\", alpha=\"0.01\", expect_size=\"33988608\"] \n  5 -> 6 [size =\"33988608\"]\n  6 [size=\"102692864\", alpha=\"0.06\", expect_size=\"51346432\"] \n  6 -> 7 [size =\"51346432\"]\n  7 [size=\"96231424\", alpha=\"0.13\", expect_size=\"48115712\"] \n  7 -> 8 [size =\"48115712\"]\n  8 [size=\"65472512\", alpha=\"0.15\", expect_size=\"32736256\"] \n  8 -> 9 [size =\"32736256\"]\n  9 [size=\"69365760\", alpha=\"0.08\", expect_size=\"34682880\"] \n  9 -> 10 [size =\"34682880\"]\n  10 [size=\"63358976\", alpha=\"0.07\", expect_size=\"31679488\"] \n  10 -> 11 [size =\"31679488\"]\n  11 [size=\"75851776\", alpha=\"0.01\", expect_size=\"37925888\"] \n  11 -> 12 [size =\"37925888\"]\n  12 [size=\"68302848\", alpha=\"0.16\", expect_size=\"34151424\"] \n  12 -> 13 [size =\"34151424\"]\n  13 [size=\"51482624\", alpha=\"0.07\", expect_size=\"25741312\"] \n  13 -> 14 [size =\"25741312\"]\n  14 [size=\"21825536\", alpha=\"0.05\", expect_size=\"10912768\"] \n  14 -> 15 [size =\"10912768\"]\n  15 [size=\"78592000\", alpha=\"0.07\", expect_size=\"39296000\"] \n  15 -> 16 [size =\"39296000\"]\n  16 [size=\"85057536\", alpha=\"0.13\", expect_size=\"42528768\"] \n  16 -> 17 [size =\"42528768\"]\n  17 [size=\"19193856\", alpha=\"0.15\", expect_size=\"9596928\"] \n  17 -> 18 [size =\"9596928\"]\n  18 [size=\"78424064\", alpha=\"0.10\", expect_size=\"39212032\"] \n  18 -> 19 [size =\"39212032\"]\n  19 [size=\"52500480\", alpha=\"0.11\", expect_size=\"26250240\"] \n  19 -> 20 [size =\"26250240\"]\n  20 [size=\"89063424\", alpha=\"0.08\", expect_size=\"44531712\"] \n  20 -> 21 [size =\"44531712\"]\n  21 [size=\"28321792\", alpha=\"0.20\", expect_size=\"14160896\"] \n  21 -> 22 [size =\"14160896\"]\n  22 [size=\"34445312\", alpha=\"0.12\", expect_size=\"17222656\"] \n  22 -> 23 [size =\"17222656\"]\n  23 [size=\"15507456\", alpha=\"0.12\", expect_size=\"7753728\"] \n  23 -> 24 [size =\"7753728\"]\n  24 [size=\"49514496\", alpha=\"0.12\", expect_size=\"24757248\"] \n  24 -> 25 [size =\"24757248\"]\n  25 [size=\"71227392\", alpha=\"0.03\", expect_size=\"35613696\"] \n  25 -> 26 [size =\"35613696\"]\n  26 [size=\"11835392\", alpha=\"0.14\", expect_size=\"5917696\"] \n  26 -> 27 [size =\"5917696\"]\n  27 [size=\"75491328\", alpha=\"0.03\", expect_size=\"37745664\"] \n  27 -> 28 [size =\"37745664\"]\n  28 [size=\"50728960\", alpha=\"0.03\", expect_size=\"25364480\"] \n  28 -> 29 [size =\"25364480\"]\n  29 [size=\"96817152\", alpha=\"0.16\", expect_size=\"48408576\"] \n  29 -> 30 [size =\"48408576\"]\n  30 [size=\"52516864\", alpha=\"0.01\", expect_size=\"26258432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127997440\", alpha=\"0.15\", expect_size=\"51198976\"] \n  1 -> 21 [size =\"51198976\"]\n  2 [size=\"42240000\", alpha=\"0.09\", expect_size=\"16896000\"] \n  2 -> 22 [size =\"16896000\"]\n  2 -> 23 [size =\"16896000\"]\n  2 -> 30 [size =\"16896000\"]\n  3 [size=\"36710400\", alpha=\"0.09\", expect_size=\"14684160\"] \n  3 -> 21 [size =\"14684160\"]\n  3 -> 22 [size =\"14684160\"]\n  3 -> 27 [size =\"14684160\"]\n  3 -> 28 [size =\"14684160\"]\n  4 [size=\"129159680\", alpha=\"0.11\", expect_size=\"51663872\"] \n  4 -> 23 [size =\"51663872\"]\n  4 -> 27 [size =\"51663872\"]\n  5 [size=\"113856000\", alpha=\"0.02\", expect_size=\"45542400\"] \n  5 -> 25 [size =\"45542400\"]\n  5 -> 28 [size =\"45542400\"]\n  6 [size=\"126758400\", alpha=\"0.03\", expect_size=\"50703360\"] \n  6 -> 22 [size =\"50703360\"]\n  6 -> 27 [size =\"50703360\"]\n  6 -> 28 [size =\"50703360\"]\n  7 [size=\"110141440\", alpha=\"0.10\", expect_size=\"44056576\"] \n  7 -> 25 [size =\"44056576\"]\n  8 [size=\"106035200\", alpha=\"0.03\", expect_size=\"42414080\"] \n  8 -> 21 [size =\"42414080\"]\n  9 [size=\"114647040\", alpha=\"0.03\", expect_size=\"45858816\"] \n  9 -> 21 [size =\"45858816\"]\n  9 -> 27 [size =\"45858816\"]\n  9 -> 30 [size =\"45858816\"]\n  10 [size=\"44449280\", alpha=\"0.12\", expect_size=\"17779712\"] \n  10 -> 22 [size =\"17779712\"]\n  10 -> 24 [size =\"17779712\"]\n  11 [size=\"57978880\", alpha=\"0.06\", expect_size=\"23191552\"] \n  11 -> 21 [size =\"23191552\"]\n  11 -> 27 [size =\"23191552\"]\n  12 [size=\"30965760\", alpha=\"0.07\", expect_size=\"12386304\"] \n  12 -> 21 [size =\"12386304\"]\n  12 -> 25 [size =\"12386304\"]\n  13 [size=\"84702720\", alpha=\"0.06\", expect_size=\"33881088\"] \n  13 -> 21 [size =\"33881088\"]\n  13 -> 22 [size =\"33881088\"]\n  13 -> 25 [size =\"33881088\"]\n  13 -> 27 [size =\"33881088\"]\n  13 -> 29 [size =\"33881088\"]\n  13 -> 30 [size =\"33881088\"]\n  14 [size=\"18247680\", alpha=\"0.08\", expect_size=\"7299072\"] \n  14 -> 23 [size =\"7299072\"]\n  14 -> 25 [size =\"7299072\"]\n  14 -> 27 [size =\"7299072\"]\n  15 [size=\"85849600\", alpha=\"0.20\", expect_size=\"34339840\"] \n  15 -> 22 [size =\"34339840\"]\n  15 -> 25 [size =\"34339840\"]\n  15 -> 26 [size =\"34339840\"]\n  16 [size=\"97653760\", alpha=\"0.03\", expect_size=\"39061504\"] \n  16 -> 22 [size =\"39061504\"]\n  16 -> 23 [size =\"39061504\"]\n  16 -> 27 [size =\"39061504\"]\n  16 -> 29 [size =\"39061504\"]\n  17 [size=\"115758080\", alpha=\"0.09\", expect_size=\"46303232\"] \n  17 -> 23 [size =\"46303232\"]\n  17 -> 25 [size =\"46303232\"]\n  17 -> 27 [size =\"46303232\"]\n  18 [size=\"57807360\", alpha=\"0.04\", expect_size=\"23122944\"] \n  18 -> 23 [size =\"23122944\"]\n  18 -> 25 [size =\"23122944\"]\n  19 [size=\"72875520\", alpha=\"0.19\", expect_size=\"29150208\"] \n  19 -> 22 [size =\"29150208\"]\n  19 -> 25 [size =\"29150208\"]\n  19 -> 27 [size =\"29150208\"]\n  20 [size=\"92078080\", alpha=\"0.08\", expect_size=\"36831232\"] \n  20 -> 25 [size =\"36831232\"]\n  21 [size=\"47418880\", alpha=\"0.16\", expect_size=\"18967552\"] \n  22 [size=\"81651200\", alpha=\"0.09\", expect_size=\"32660480\"] \n  23 [size=\"122014720\", alpha=\"0.06\", expect_size=\"48805888\"] \n  24 [size=\"42286080\", alpha=\"0.03\", expect_size=\"16914432\"] \n  25 [size=\"89756160\", alpha=\"0.17\", expect_size=\"35902464\"] \n  26 [size=\"88640000\", alpha=\"0.11\", expect_size=\"35456000\"] \n  27 [size=\"105512960\", alpha=\"0.00\", expect_size=\"42205184\"] \n  28 [size=\"40302080\", alpha=\"0.06\", expect_size=\"16120832\"] \n  29 [size=\"64760320\", alpha=\"0.08\", expect_size=\"25904128\"] \n  30 [size=\"58460160\", alpha=\"0.16\", expect_size=\"23384064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88936960\", alpha=\"0.06\", expect_size=\"35574784\"] \n  1 -> 16 [size =\"35574784\"]\n  2 [size=\"77995520\", alpha=\"0.03\", expect_size=\"31198208\"] \n  2 -> 10 [size =\"31198208\"]\n  2 -> 17 [size =\"31198208\"]\n  2 -> 19 [size =\"31198208\"]\n  3 [size=\"67481600\", alpha=\"0.08\", expect_size=\"26992640\"] \n  3 -> 12 [size =\"26992640\"]\n  3 -> 14 [size =\"26992640\"]\n  3 -> 17 [size =\"26992640\"]\n  3 -> 18 [size =\"26992640\"]\n  4 [size=\"93680640\", alpha=\"0.10\", expect_size=\"37472256\"] \n  4 -> 17 [size =\"37472256\"]\n  4 -> 19 [size =\"37472256\"]\n  5 [size=\"68664320\", alpha=\"0.11\", expect_size=\"27465728\"] \n  5 -> 17 [size =\"27465728\"]\n  6 [size=\"129466880\", alpha=\"0.08\", expect_size=\"51786752\"] \n  6 -> 10 [size =\"51786752\"]\n  6 -> 13 [size =\"51786752\"]\n  7 [size=\"122280960\", alpha=\"0.05\", expect_size=\"48912384\"] \n  7 -> 10 [size =\"48912384\"]\n  7 -> 11 [size =\"48912384\"]\n  7 -> 12 [size =\"48912384\"]\n  7 -> 14 [size =\"48912384\"]\n  8 [size=\"83850240\", alpha=\"0.13\", expect_size=\"33540096\"] \n  8 -> 12 [size =\"33540096\"]\n  9 [size=\"56033280\", alpha=\"0.04\", expect_size=\"22413312\"] \n  9 -> 10 [size =\"22413312\"]\n  9 -> 11 [size =\"22413312\"]\n  9 -> 13 [size =\"22413312\"]\n  9 -> 15 [size =\"22413312\"]\n  9 -> 16 [size =\"22413312\"]\n  9 -> 18 [size =\"22413312\"]\n  10 [size=\"77096960\", alpha=\"0.16\", expect_size=\"30838784\"] \n  10 -> 24 [size =\"30838784\"]\n  10 -> 27 [size =\"30838784\"]\n  11 [size=\"113999360\", alpha=\"0.19\", expect_size=\"45599744\"] \n  11 -> 24 [size =\"45599744\"]\n  11 -> 25 [size =\"45599744\"]\n  11 -> 26 [size =\"45599744\"]\n  11 -> 27 [size =\"45599744\"]\n  12 [size=\"28899840\", alpha=\"0.16\", expect_size=\"11559936\"] \n  12 -> 20 [size =\"11559936\"]\n  12 -> 24 [size =\"11559936\"]\n  12 -> 26 [size =\"11559936\"]\n  13 [size=\"47406080\", alpha=\"0.02\", expect_size=\"18962432\"] \n  13 -> 20 [size =\"18962432\"]\n  13 -> 21 [size =\"18962432\"]\n  13 -> 25 [size =\"18962432\"]\n  13 -> 28 [size =\"18962432\"]\n  14 [size=\"93125120\", alpha=\"0.09\", expect_size=\"37250048\"] \n  14 -> 20 [size =\"37250048\"]\n  14 -> 23 [size =\"37250048\"]\n  14 -> 25 [size =\"37250048\"]\n  14 -> 27 [size =\"37250048\"]\n  15 [size=\"35965440\", alpha=\"0.09\", expect_size=\"14386176\"] \n  15 -> 24 [size =\"14386176\"]\n  15 -> 25 [size =\"14386176\"]\n  16 [size=\"100689920\", alpha=\"0.08\", expect_size=\"40275968\"] \n  16 -> 26 [size =\"40275968\"]\n  17 [size=\"32783360\", alpha=\"0.19\", expect_size=\"13113344\"] \n  17 -> 20 [size =\"13113344\"]\n  17 -> 22 [size =\"13113344\"]\n  17 -> 26 [size =\"13113344\"]\n  18 [size=\"60316160\", alpha=\"0.05\", expect_size=\"24126464\"] \n  18 -> 25 [size =\"24126464\"]\n  18 -> 29 [size =\"24126464\"]\n  19 [size=\"18688000\", alpha=\"0.03\", expect_size=\"7475200\"] \n  19 -> 24 [size =\"7475200\"]\n  19 -> 26 [size =\"7475200\"]\n  20 [size=\"41364480\", alpha=\"0.00\", expect_size=\"16545792\"] \n  21 [size=\"14850560\", alpha=\"0.10\", expect_size=\"5940224\"] \n  21 -> 30 [size =\"5940224\"]\n  22 [size=\"129082880\", alpha=\"0.11\", expect_size=\"51633152\"] \n  23 [size=\"103692800\", alpha=\"0.02\", expect_size=\"41477120\"] \n  23 -> 30 [size =\"41477120\"]\n  24 [size=\"115330560\", alpha=\"0.05\", expect_size=\"46132224\"] \n  24 -> 30 [size =\"46132224\"]\n  25 [size=\"49669120\", alpha=\"0.19\", expect_size=\"19867648\"] \n  26 [size=\"102067200\", alpha=\"0.12\", expect_size=\"40826880\"] \n  26 -> 30 [size =\"40826880\"]\n  27 [size=\"33873920\", alpha=\"0.03\", expect_size=\"13549568\"] \n  28 [size=\"29660160\", alpha=\"0.07\", expect_size=\"11864064\"] \n  29 [size=\"60234240\", alpha=\"0.17\", expect_size=\"24093696\"] \n  29 -> 30 [size =\"24093696\"]\n  30 [size=\"80266240\", alpha=\"0.19\", expect_size=\"32106496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23570432\", alpha=\"0.06\", expect_size=\"11785216\"] \n  1 -> 6 [size =\"11785216\"]\n  1 -> 9 [size =\"11785216\"]\n  2 [size=\"102789120\", alpha=\"0.04\", expect_size=\"51394560\"] \n  2 -> 7 [size =\"51394560\"]\n  2 -> 8 [size =\"51394560\"]\n  3 [size=\"37324800\", alpha=\"0.19\", expect_size=\"18662400\"] \n  3 -> 5 [size =\"18662400\"]\n  4 [size=\"41773056\", alpha=\"0.19\", expect_size=\"20886528\"] \n  4 -> 5 [size =\"20886528\"]\n  4 -> 6 [size =\"20886528\"]\n  4 -> 7 [size =\"20886528\"]\n  5 [size=\"86632448\", alpha=\"0.11\", expect_size=\"43316224\"] \n  5 -> 11 [size =\"43316224\"]\n  5 -> 12 [size =\"43316224\"]\n  6 [size=\"41365504\", alpha=\"0.14\", expect_size=\"20682752\"] \n  6 -> 11 [size =\"20682752\"]\n  7 [size=\"15538176\", alpha=\"0.11\", expect_size=\"7769088\"] \n  7 -> 11 [size =\"7769088\"]\n  7 -> 12 [size =\"7769088\"]\n  8 [size=\"14553088\", alpha=\"0.08\", expect_size=\"7276544\"] \n  8 -> 13 [size =\"7276544\"]\n  9 [size=\"51728384\", alpha=\"0.12\", expect_size=\"25864192\"] \n  9 -> 10 [size =\"25864192\"]\n  9 -> 13 [size =\"25864192\"]\n  10 [size=\"94324736\", alpha=\"0.05\", expect_size=\"47162368\"] \n  10 -> 14 [size =\"47162368\"]\n  10 -> 15 [size =\"47162368\"]\n  10 -> 16 [size =\"47162368\"]\n  11 [size=\"94191616\", alpha=\"0.13\", expect_size=\"47095808\"] \n  11 -> 14 [size =\"47095808\"]\n  11 -> 17 [size =\"47095808\"]\n  12 [size=\"30371840\", alpha=\"0.06\", expect_size=\"15185920\"] \n  12 -> 15 [size =\"15185920\"]\n  13 [size=\"48037888\", alpha=\"0.02\", expect_size=\"24018944\"] \n  14 [size=\"41539584\", alpha=\"0.03\", expect_size=\"20769792\"] \n  14 -> 19 [size =\"20769792\"]\n  14 -> 21 [size =\"20769792\"]\n  15 [size=\"35020800\", alpha=\"0.15\", expect_size=\"17510400\"] \n  15 -> 22 [size =\"17510400\"]\n  16 [size=\"84836352\", alpha=\"0.01\", expect_size=\"42418176\"] \n  16 -> 20 [size =\"42418176\"]\n  16 -> 22 [size =\"42418176\"]\n  17 [size=\"55277568\", alpha=\"0.15\", expect_size=\"27638784\"] \n  17 -> 18 [size =\"27638784\"]\n  18 [size=\"11036672\", alpha=\"0.16\", expect_size=\"5518336\"] \n  18 -> 23 [size =\"5518336\"]\n  18 -> 27 [size =\"5518336\"]\n  19 [size=\"50305024\", alpha=\"0.12\", expect_size=\"25152512\"] \n  20 [size=\"12828672\", alpha=\"0.18\", expect_size=\"6414336\"] \n  20 -> 24 [size =\"6414336\"]\n  20 -> 25 [size =\"6414336\"]\n  21 [size=\"35088384\", alpha=\"0.07\", expect_size=\"17544192\"] \n  21 -> 24 [size =\"17544192\"]\n  21 -> 25 [size =\"17544192\"]\n  21 -> 26 [size =\"17544192\"]\n  21 -> 27 [size =\"17544192\"]\n  22 [size=\"97486848\", alpha=\"0.16\", expect_size=\"48743424\"] \n  22 -> 27 [size =\"48743424\"]\n  23 [size=\"31100928\", alpha=\"0.10\", expect_size=\"15550464\"] \n  23 -> 30 [size =\"15550464\"]\n  24 [size=\"42596352\", alpha=\"0.11\", expect_size=\"21298176\"] \n  24 -> 28 [size =\"21298176\"]\n  24 -> 29 [size =\"21298176\"]\n  25 [size=\"56563712\", alpha=\"0.08\", expect_size=\"28281856\"] \n  25 -> 28 [size =\"28281856\"]\n  26 [size=\"34564096\", alpha=\"0.11\", expect_size=\"17282048\"] \n  26 -> 28 [size =\"17282048\"]\n  27 [size=\"39028736\", alpha=\"0.16\", expect_size=\"19514368\"] \n  28 [size=\"16087040\", alpha=\"0.01\", expect_size=\"8043520\"] \n  29 [size=\"90597376\", alpha=\"0.16\", expect_size=\"45298688\"] \n  30 [size=\"52031488\", alpha=\"0.08\", expect_size=\"26015744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37838848\", alpha=\"0.17\", expect_size=\"18919424\"] \n  1 -> 24 [size =\"18919424\"]\n  1 -> 28 [size =\"18919424\"]\n  1 -> 30 [size =\"18919424\"]\n  1 -> 30 [size =\"18919424\"]\n  2 [size=\"64460800\", alpha=\"0.15\", expect_size=\"32230400\"] \n  2 -> 24 [size =\"32230400\"]\n  2 -> 25 [size =\"32230400\"]\n  2 -> 27 [size =\"32230400\"]\n  2 -> 28 [size =\"32230400\"]\n  2 -> 29 [size =\"32230400\"]\n  2 -> 30 [size =\"32230400\"]\n  3 [size=\"60794880\", alpha=\"0.20\", expect_size=\"30397440\"] \n  3 -> 24 [size =\"30397440\"]\n  3 -> 26 [size =\"30397440\"]\n  3 -> 27 [size =\"30397440\"]\n  3 -> 28 [size =\"30397440\"]\n  3 -> 30 [size =\"30397440\"]\n  4 [size=\"100636672\", alpha=\"0.08\", expect_size=\"50318336\"] \n  4 -> 24 [size =\"50318336\"]\n  4 -> 27 [size =\"50318336\"]\n  4 -> 28 [size =\"50318336\"]\n  4 -> 28 [size =\"50318336\"]\n  4 -> 30 [size =\"50318336\"]\n  5 [size=\"39155712\", alpha=\"0.04\", expect_size=\"19577856\"] \n  5 -> 24 [size =\"19577856\"]\n  5 -> 26 [size =\"19577856\"]\n  5 -> 28 [size =\"19577856\"]\n  5 -> 30 [size =\"19577856\"]\n  6 [size=\"15122432\", alpha=\"0.12\", expect_size=\"7561216\"] \n  6 -> 24 [size =\"7561216\"]\n  6 -> 26 [size =\"7561216\"]\n  6 -> 27 [size =\"7561216\"]\n  6 -> 28 [size =\"7561216\"]\n  6 -> 29 [size =\"7561216\"]\n  6 -> 30 [size =\"7561216\"]\n  7 [size=\"34719744\", alpha=\"0.14\", expect_size=\"17359872\"] \n  7 -> 24 [size =\"17359872\"]\n  7 -> 25 [size =\"17359872\"]\n  7 -> 26 [size =\"17359872\"]\n  7 -> 28 [size =\"17359872\"]\n  7 -> 29 [size =\"17359872\"]\n  7 -> 30 [size =\"17359872\"]\n  8 [size=\"11851776\", alpha=\"0.00\", expect_size=\"5925888\"] \n  8 -> 24 [size =\"5925888\"]\n  8 -> 26 [size =\"5925888\"]\n  8 -> 28 [size =\"5925888\"]\n  8 -> 28 [size =\"5925888\"]\n  8 -> 29 [size =\"5925888\"]\n  8 -> 30 [size =\"5925888\"]\n  9 [size=\"21735424\", alpha=\"0.04\", expect_size=\"10867712\"] \n  9 -> 24 [size =\"10867712\"]\n  9 -> 25 [size =\"10867712\"]\n  9 -> 27 [size =\"10867712\"]\n  9 -> 28 [size =\"10867712\"]\n  9 -> 30 [size =\"10867712\"]\n  10 [size=\"24485888\", alpha=\"0.16\", expect_size=\"12242944\"] \n  10 -> 24 [size =\"12242944\"]\n  10 -> 30 [size =\"12242944\"]\n  11 [size=\"33243136\", alpha=\"0.18\", expect_size=\"16621568\"] \n  11 -> 24 [size =\"16621568\"]\n  11 -> 25 [size =\"16621568\"]\n  11 -> 26 [size =\"16621568\"]\n  11 -> 30 [size =\"16621568\"]\n  12 [size=\"21422080\", alpha=\"0.03\", expect_size=\"10711040\"] \n  12 -> 24 [size =\"10711040\"]\n  12 -> 25 [size =\"10711040\"]\n  12 -> 26 [size =\"10711040\"]\n  12 -> 28 [size =\"10711040\"]\n  13 [size=\"89849856\", alpha=\"0.02\", expect_size=\"44924928\"] \n  13 -> 25 [size =\"44924928\"]\n  13 -> 25 [size =\"44924928\"]\n  13 -> 26 [size =\"44924928\"]\n  14 [size=\"89161728\", alpha=\"0.12\", expect_size=\"44580864\"] \n  14 -> 24 [size =\"44580864\"]\n  14 -> 25 [size =\"44580864\"]\n  14 -> 26 [size =\"44580864\"]\n  14 -> 28 [size =\"44580864\"]\n  14 -> 30 [size =\"44580864\"]\n  15 [size=\"30916608\", alpha=\"0.19\", expect_size=\"15458304\"] \n  15 -> 24 [size =\"15458304\"]\n  15 -> 25 [size =\"15458304\"]\n  15 -> 26 [size =\"15458304\"]\n  15 -> 28 [size =\"15458304\"]\n  16 [size=\"48717824\", alpha=\"0.05\", expect_size=\"24358912\"] \n  16 -> 26 [size =\"24358912\"]\n  17 [size=\"13166592\", alpha=\"0.18\", expect_size=\"6583296\"] \n  17 -> 25 [size =\"6583296\"]\n  17 -> 26 [size =\"6583296\"]\n  17 -> 27 [size =\"6583296\"]\n  17 -> 29 [size =\"6583296\"]\n  17 -> 30 [size =\"6583296\"]\n  18 [size=\"81512448\", alpha=\"0.01\", expect_size=\"40756224\"] \n  18 -> 25 [size =\"40756224\"]\n  18 -> 29 [size =\"40756224\"]\n  18 -> 30 [size =\"40756224\"]\n  19 [size=\"81694720\", alpha=\"0.09\", expect_size=\"40847360\"] \n  19 -> 25 [size =\"40847360\"]\n  19 -> 28 [size =\"40847360\"]\n  19 -> 29 [size =\"40847360\"]\n  20 [size=\"102080512\", alpha=\"0.02\", expect_size=\"51040256\"] \n  20 -> 24 [size =\"51040256\"]\n  20 -> 25 [size =\"51040256\"]\n  20 -> 28 [size =\"51040256\"]\n  20 -> 29 [size =\"51040256\"]\n  20 -> 30 [size =\"51040256\"]\n  21 [size=\"85512192\", alpha=\"0.00\", expect_size=\"42756096\"] \n  21 -> 24 [size =\"42756096\"]\n  21 -> 25 [size =\"42756096\"]\n  21 -> 26 [size =\"42756096\"]\n  21 -> 28 [size =\"42756096\"]\n  21 -> 29 [size =\"42756096\"]\n  21 -> 30 [size =\"42756096\"]\n  22 [size=\"77328384\", alpha=\"0.10\", expect_size=\"38664192\"] \n  22 -> 24 [size =\"38664192\"]\n  22 -> 25 [size =\"38664192\"]\n  22 -> 26 [size =\"38664192\"]\n  22 -> 27 [size =\"38664192\"]\n  22 -> 29 [size =\"38664192\"]\n  22 -> 30 [size =\"38664192\"]\n  23 [size=\"89669632\", alpha=\"0.11\", expect_size=\"44834816\"] \n  23 -> 24 [size =\"44834816\"]\n  23 -> 25 [size =\"44834816\"]\n  23 -> 29 [size =\"44834816\"]\n  23 -> 30 [size =\"44834816\"]\n  24 [size=\"101005312\", alpha=\"0.10\", expect_size=\"50502656\"] \n  25 [size=\"63778816\", alpha=\"0.16\", expect_size=\"31889408\"] \n  26 [size=\"59140096\", alpha=\"0.03\", expect_size=\"29570048\"] \n  27 [size=\"83886080\", alpha=\"0.15\", expect_size=\"41943040\"] \n  28 [size=\"73658368\", alpha=\"0.07\", expect_size=\"36829184\"] \n  29 [size=\"76433408\", alpha=\"0.02\", expect_size=\"38216704\"] \n  30 [size=\"23771136\", alpha=\"0.19\", expect_size=\"11885568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100364800\", alpha=\"0.09\", expect_size=\"40145920\"] \n  1 -> 14 [size =\"40145920\"]\n  2 [size=\"108840960\", alpha=\"0.13\", expect_size=\"43536384\"] \n  2 -> 10 [size =\"43536384\"]\n  2 -> 15 [size =\"43536384\"]\n  3 [size=\"72972800\", alpha=\"0.16\", expect_size=\"29189120\"] \n  3 -> 10 [size =\"29189120\"]\n  3 -> 13 [size =\"29189120\"]\n  4 [size=\"128896000\", alpha=\"0.05\", expect_size=\"51558400\"] \n  4 -> 9 [size =\"51558400\"]\n  4 -> 10 [size =\"51558400\"]\n  4 -> 11 [size =\"51558400\"]\n  4 -> 17 [size =\"51558400\"]\n  5 [size=\"18572800\", alpha=\"0.04\", expect_size=\"7429120\"] \n  5 -> 9 [size =\"7429120\"]\n  5 -> 15 [size =\"7429120\"]\n  6 [size=\"124075520\", alpha=\"0.15\", expect_size=\"49630208\"] \n  6 -> 13 [size =\"49630208\"]\n  6 -> 16 [size =\"49630208\"]\n  7 [size=\"27584000\", alpha=\"0.12\", expect_size=\"11033600\"] \n  7 -> 12 [size =\"11033600\"]\n  7 -> 14 [size =\"11033600\"]\n  7 -> 17 [size =\"11033600\"]\n  8 [size=\"66483200\", alpha=\"0.16\", expect_size=\"26593280\"] \n  8 -> 14 [size =\"26593280\"]\n  8 -> 17 [size =\"26593280\"]\n  9 [size=\"59338240\", alpha=\"0.07\", expect_size=\"23735296\"] \n  9 -> 20 [size =\"23735296\"]\n  9 -> 24 [size =\"23735296\"]\n  10 [size=\"97541120\", alpha=\"0.15\", expect_size=\"39016448\"] \n  10 -> 22 [size =\"39016448\"]\n  10 -> 23 [size =\"39016448\"]\n  10 -> 24 [size =\"39016448\"]\n  10 -> 25 [size =\"39016448\"]\n  11 [size=\"65410560\", alpha=\"0.15\", expect_size=\"26164224\"] \n  11 -> 18 [size =\"26164224\"]\n  11 -> 22 [size =\"26164224\"]\n  11 -> 25 [size =\"26164224\"]\n  12 [size=\"117053440\", alpha=\"0.18\", expect_size=\"46821376\"] \n  12 -> 22 [size =\"46821376\"]\n  12 -> 24 [size =\"46821376\"]\n  13 [size=\"76556800\", alpha=\"0.04\", expect_size=\"30622720\"] \n  13 -> 22 [size =\"30622720\"]\n  13 -> 25 [size =\"30622720\"]\n  14 [size=\"51281920\", alpha=\"0.19\", expect_size=\"20512768\"] \n  14 -> 18 [size =\"20512768\"]\n  14 -> 19 [size =\"20512768\"]\n  14 -> 20 [size =\"20512768\"]\n  15 [size=\"82163200\", alpha=\"0.11\", expect_size=\"32865280\"] \n  15 -> 19 [size =\"32865280\"]\n  15 -> 24 [size =\"32865280\"]\n  15 -> 25 [size =\"32865280\"]\n  16 [size=\"105118720\", alpha=\"0.19\", expect_size=\"42047488\"] \n  16 -> 19 [size =\"42047488\"]\n  16 -> 21 [size =\"42047488\"]\n  16 -> 22 [size =\"42047488\"]\n  17 [size=\"73738240\", alpha=\"0.14\", expect_size=\"29495296\"] \n  17 -> 23 [size =\"29495296\"]\n  18 [size=\"25640960\", alpha=\"0.04\", expect_size=\"10256384\"] \n  19 [size=\"119751680\", alpha=\"0.19\", expect_size=\"47900672\"] \n  19 -> 28 [size =\"47900672\"]\n  19 -> 29 [size =\"47900672\"]\n  20 [size=\"44431360\", alpha=\"0.03\", expect_size=\"17772544\"] \n  20 -> 27 [size =\"17772544\"]\n  21 [size=\"15505920\", alpha=\"0.01\", expect_size=\"6202368\"] \n  21 -> 27 [size =\"6202368\"]\n  21 -> 30 [size =\"6202368\"]\n  22 [size=\"105871360\", alpha=\"0.16\", expect_size=\"42348544\"] \n  23 [size=\"94919680\", alpha=\"0.01\", expect_size=\"37967872\"] \n  24 [size=\"116451840\", alpha=\"0.05\", expect_size=\"46580736\"] \n  24 -> 29 [size =\"46580736\"]\n  24 -> 30 [size =\"46580736\"]\n  25 [size=\"112317440\", alpha=\"0.11\", expect_size=\"44926976\"] \n  25 -> 26 [size =\"44926976\"]\n  25 -> 28 [size =\"44926976\"]\n  26 [size=\"57697280\", alpha=\"0.15\", expect_size=\"23078912\"] \n  27 [size=\"49620480\", alpha=\"0.01\", expect_size=\"19848192\"] \n  28 [size=\"129802240\", alpha=\"0.17\", expect_size=\"51920896\"] \n  29 [size=\"36380160\", alpha=\"0.00\", expect_size=\"14552064\"] \n  30 [size=\"33011200\", alpha=\"0.18\", expect_size=\"13204480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11087872\", alpha=\"0.02\", expect_size=\"5543936\"] \n  1 -> 28 [size =\"5543936\"]\n  1 -> 29 [size =\"5543936\"]\n  2 [size=\"101312512\", alpha=\"0.08\", expect_size=\"50656256\"] \n  2 -> 23 [size =\"50656256\"]\n  3 [size=\"35377152\", alpha=\"0.11\", expect_size=\"17688576\"] \n  3 -> 23 [size =\"17688576\"]\n  3 -> 24 [size =\"17688576\"]\n  3 -> 29 [size =\"17688576\"]\n  4 [size=\"68370432\", alpha=\"0.02\", expect_size=\"34185216\"] \n  4 -> 23 [size =\"34185216\"]\n  4 -> 24 [size =\"34185216\"]\n  5 [size=\"84371456\", alpha=\"0.19\", expect_size=\"42185728\"] \n  5 -> 26 [size =\"42185728\"]\n  5 -> 28 [size =\"42185728\"]\n  6 [size=\"21956608\", alpha=\"0.16\", expect_size=\"10978304\"] \n  6 -> 26 [size =\"10978304\"]\n  6 -> 28 [size =\"10978304\"]\n  6 -> 29 [size =\"10978304\"]\n  6 -> 30 [size =\"10978304\"]\n  7 [size=\"16594944\", alpha=\"0.11\", expect_size=\"8297472\"] \n  7 -> 24 [size =\"8297472\"]\n  7 -> 27 [size =\"8297472\"]\n  7 -> 29 [size =\"8297472\"]\n  8 [size=\"59670528\", alpha=\"0.19\", expect_size=\"29835264\"] \n  8 -> 22 [size =\"29835264\"]\n  8 -> 28 [size =\"29835264\"]\n  9 [size=\"56252416\", alpha=\"0.02\", expect_size=\"28126208\"] \n  9 -> 27 [size =\"28126208\"]\n  9 -> 29 [size =\"28126208\"]\n  9 -> 30 [size =\"28126208\"]\n  10 [size=\"51599360\", alpha=\"0.13\", expect_size=\"25799680\"] \n  10 -> 22 [size =\"25799680\"]\n  10 -> 23 [size =\"25799680\"]\n  10 -> 24 [size =\"25799680\"]\n  10 -> 25 [size =\"25799680\"]\n  10 -> 27 [size =\"25799680\"]\n  11 [size=\"75323392\", alpha=\"0.11\", expect_size=\"37661696\"] \n  11 -> 24 [size =\"37661696\"]\n  11 -> 27 [size =\"37661696\"]\n  11 -> 29 [size =\"37661696\"]\n  12 [size=\"86484992\", alpha=\"0.04\", expect_size=\"43242496\"] \n  12 -> 24 [size =\"43242496\"]\n  13 [size=\"31182848\", alpha=\"0.01\", expect_size=\"15591424\"] \n  13 -> 28 [size =\"15591424\"]\n  14 [size=\"82239488\", alpha=\"0.03\", expect_size=\"41119744\"] \n  14 -> 22 [size =\"41119744\"]\n  14 -> 28 [size =\"41119744\"]\n  15 [size=\"91889664\", alpha=\"0.07\", expect_size=\"45944832\"] \n  16 [size=\"85254144\", alpha=\"0.09\", expect_size=\"42627072\"] \n  16 -> 22 [size =\"42627072\"]\n  17 [size=\"65245184\", alpha=\"0.16\", expect_size=\"32622592\"] \n  17 -> 23 [size =\"32622592\"]\n  18 [size=\"23345152\", alpha=\"0.18\", expect_size=\"11672576\"] \n  18 -> 23 [size =\"11672576\"]\n  19 [size=\"18003968\", alpha=\"0.12\", expect_size=\"9001984\"] \n  19 -> 28 [size =\"9001984\"]\n  20 [size=\"28835840\", alpha=\"0.15\", expect_size=\"14417920\"] \n  20 -> 23 [size =\"14417920\"]\n  20 -> 27 [size =\"14417920\"]\n  20 -> 28 [size =\"14417920\"]\n  20 -> 30 [size =\"14417920\"]\n  21 [size=\"91285504\", alpha=\"0.17\", expect_size=\"45642752\"] \n  21 -> 24 [size =\"45642752\"]\n  21 -> 29 [size =\"45642752\"]\n  22 [size=\"47595520\", alpha=\"0.19\", expect_size=\"23797760\"] \n  23 [size=\"67002368\", alpha=\"0.07\", expect_size=\"33501184\"] \n  24 [size=\"70973440\", alpha=\"0.06\", expect_size=\"35486720\"] \n  25 [size=\"84447232\", alpha=\"0.01\", expect_size=\"42223616\"] \n  26 [size=\"22026240\", alpha=\"0.19\", expect_size=\"11013120\"] \n  27 [size=\"63293440\", alpha=\"0.18\", expect_size=\"31646720\"] \n  28 [size=\"44513280\", alpha=\"0.07\", expect_size=\"22256640\"] \n  29 [size=\"33011712\", alpha=\"0.06\", expect_size=\"16505856\"] \n  30 [size=\"89434112\", alpha=\"0.14\", expect_size=\"44717056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100401152\", alpha=\"0.00\", expect_size=\"50200576\"] \n  1 -> 2 [size =\"50200576\"]\n  1 -> 3 [size =\"50200576\"]\n  2 [size=\"94595072\", alpha=\"0.02\", expect_size=\"47297536\"] \n  3 [size=\"37541888\", alpha=\"0.17\", expect_size=\"18770944\"] \n  3 -> 4 [size =\"18770944\"]\n  4 [size=\"62150656\", alpha=\"0.19\", expect_size=\"31075328\"] \n  4 -> 5 [size =\"31075328\"]\n  5 [size=\"63268864\", alpha=\"0.17\", expect_size=\"31634432\"] \n  5 -> 6 [size =\"31634432\"]\n  6 [size=\"99717120\", alpha=\"0.14\", expect_size=\"49858560\"] \n  6 -> 7 [size =\"49858560\"]\n  6 -> 8 [size =\"49858560\"]\n  7 [size=\"99753984\", alpha=\"0.03\", expect_size=\"49876992\"] \n  8 [size=\"42825728\", alpha=\"0.18\", expect_size=\"21412864\"] \n  8 -> 9 [size =\"21412864\"]\n  9 [size=\"100120576\", alpha=\"0.01\", expect_size=\"50060288\"] \n  9 -> 10 [size =\"50060288\"]\n  10 [size=\"97826816\", alpha=\"0.05\", expect_size=\"48913408\"] \n  10 -> 11 [size =\"48913408\"]\n  10 -> 12 [size =\"48913408\"]\n  11 [size=\"46946304\", alpha=\"0.00\", expect_size=\"23473152\"] \n  12 [size=\"49094656\", alpha=\"0.18\", expect_size=\"24547328\"] \n  12 -> 13 [size =\"24547328\"]\n  13 [size=\"58017792\", alpha=\"0.09\", expect_size=\"29008896\"] \n  13 -> 14 [size =\"29008896\"]\n  13 -> 15 [size =\"29008896\"]\n  14 [size=\"43268096\", alpha=\"0.11\", expect_size=\"21634048\"] \n  14 -> 16 [size =\"21634048\"]\n  15 [size=\"38707200\", alpha=\"0.04\", expect_size=\"19353600\"] \n  16 [size=\"24684544\", alpha=\"0.16\", expect_size=\"12342272\"] \n  16 -> 17 [size =\"12342272\"]\n  17 [size=\"92737536\", alpha=\"0.19\", expect_size=\"46368768\"] \n  17 -> 18 [size =\"46368768\"]\n  18 [size=\"12750848\", alpha=\"0.06\", expect_size=\"6375424\"] \n  18 -> 19 [size =\"6375424\"]\n  18 -> 20 [size =\"6375424\"]\n  19 [size=\"98793472\", alpha=\"0.09\", expect_size=\"49396736\"] \n  20 [size=\"103884800\", alpha=\"0.14\", expect_size=\"51942400\"] \n  20 -> 21 [size =\"51942400\"]\n  20 -> 22 [size =\"51942400\"]\n  21 [size=\"33505280\", alpha=\"0.19\", expect_size=\"16752640\"] \n  22 [size=\"34166784\", alpha=\"0.01\", expect_size=\"17083392\"] \n  22 -> 23 [size =\"17083392\"]\n  22 -> 24 [size =\"17083392\"]\n  23 [size=\"24645632\", alpha=\"0.08\", expect_size=\"12322816\"] \n  23 -> 25 [size =\"12322816\"]\n  24 [size=\"66922496\", alpha=\"0.07\", expect_size=\"33461248\"] \n  25 [size=\"26527744\", alpha=\"0.17\", expect_size=\"13263872\"] \n  25 -> 26 [size =\"13263872\"]\n  25 -> 27 [size =\"13263872\"]\n  26 [size=\"43456512\", alpha=\"0.06\", expect_size=\"21728256\"] \n  27 [size=\"23388160\", alpha=\"0.13\", expect_size=\"11694080\"] \n  27 -> 28 [size =\"11694080\"]\n  28 [size=\"18774016\", alpha=\"0.08\", expect_size=\"9387008\"] \n  28 -> 29 [size =\"9387008\"]\n  29 [size=\"48566272\", alpha=\"0.01\", expect_size=\"24283136\"] \n  29 -> 30 [size =\"24283136\"]\n  30 [size=\"92645376\", alpha=\"0.14\", expect_size=\"46322688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72253440\", alpha=\"0.07\", expect_size=\"36126720\"] \n  1 -> 21 [size =\"36126720\"]\n  1 -> 22 [size =\"36126720\"]\n  1 -> 23 [size =\"36126720\"]\n  2 [size=\"68165632\", alpha=\"0.20\", expect_size=\"34082816\"] \n  2 -> 23 [size =\"34082816\"]\n  3 [size=\"74020864\", alpha=\"0.05\", expect_size=\"37010432\"] \n  3 -> 18 [size =\"37010432\"]\n  3 -> 19 [size =\"37010432\"]\n  3 -> 23 [size =\"37010432\"]\n  4 [size=\"76879872\", alpha=\"0.05\", expect_size=\"38439936\"] \n  4 -> 19 [size =\"38439936\"]\n  4 -> 21 [size =\"38439936\"]\n  5 [size=\"60626944\", alpha=\"0.03\", expect_size=\"30313472\"] \n  5 -> 16 [size =\"30313472\"]\n  5 -> 17 [size =\"30313472\"]\n  5 -> 20 [size =\"30313472\"]\n  5 -> 23 [size =\"30313472\"]\n  6 [size=\"45213696\", alpha=\"0.17\", expect_size=\"22606848\"] \n  6 -> 15 [size =\"22606848\"]\n  6 -> 17 [size =\"22606848\"]\n  6 -> 22 [size =\"22606848\"]\n  6 -> 23 [size =\"22606848\"]\n  7 [size=\"17680384\", alpha=\"0.10\", expect_size=\"8840192\"] \n  7 -> 15 [size =\"8840192\"]\n  7 -> 22 [size =\"8840192\"]\n  8 [size=\"103919616\", alpha=\"0.06\", expect_size=\"51959808\"] \n  8 -> 15 [size =\"51959808\"]\n  8 -> 18 [size =\"51959808\"]\n  8 -> 19 [size =\"51959808\"]\n  8 -> 22 [size =\"51959808\"]\n  8 -> 23 [size =\"51959808\"]\n  9 [size=\"104378368\", alpha=\"0.14\", expect_size=\"52189184\"] \n  9 -> 15 [size =\"52189184\"]\n  9 -> 16 [size =\"52189184\"]\n  9 -> 18 [size =\"52189184\"]\n  9 -> 19 [size =\"52189184\"]\n  9 -> 22 [size =\"52189184\"]\n  9 -> 23 [size =\"52189184\"]\n  10 [size=\"18653184\", alpha=\"0.02\", expect_size=\"9326592\"] \n  10 -> 15 [size =\"9326592\"]\n  10 -> 16 [size =\"9326592\"]\n  10 -> 18 [size =\"9326592\"]\n  10 -> 19 [size =\"9326592\"]\n  11 [size=\"38920192\", alpha=\"0.19\", expect_size=\"19460096\"] \n  11 -> 16 [size =\"19460096\"]\n  11 -> 16 [size =\"19460096\"]\n  11 -> 18 [size =\"19460096\"]\n  11 -> 19 [size =\"19460096\"]\n  11 -> 22 [size =\"19460096\"]\n  12 [size=\"71294976\", alpha=\"0.11\", expect_size=\"35647488\"] \n  12 -> 18 [size =\"35647488\"]\n  12 -> 19 [size =\"35647488\"]\n  12 -> 22 [size =\"35647488\"]\n  13 [size=\"69650432\", alpha=\"0.12\", expect_size=\"34825216\"] \n  13 -> 15 [size =\"34825216\"]\n  13 -> 17 [size =\"34825216\"]\n  13 -> 18 [size =\"34825216\"]\n  13 -> 19 [size =\"34825216\"]\n  13 -> 21 [size =\"34825216\"]\n  13 -> 22 [size =\"34825216\"]\n  13 -> 23 [size =\"34825216\"]\n  14 [size=\"93923328\", alpha=\"0.08\", expect_size=\"46961664\"] \n  14 -> 17 [size =\"46961664\"]\n  14 -> 19 [size =\"46961664\"]\n  14 -> 22 [size =\"46961664\"]\n  15 [size=\"22663168\", alpha=\"0.11\", expect_size=\"11331584\"] \n  15 -> 24 [size =\"11331584\"]\n  15 -> 25 [size =\"11331584\"]\n  16 [size=\"39026688\", alpha=\"0.10\", expect_size=\"19513344\"] \n  16 -> 25 [size =\"19513344\"]\n  16 -> 28 [size =\"19513344\"]\n  16 -> 29 [size =\"19513344\"]\n  17 [size=\"24686592\", alpha=\"0.17\", expect_size=\"12343296\"] \n  18 [size=\"71729152\", alpha=\"0.14\", expect_size=\"35864576\"] \n  18 -> 25 [size =\"35864576\"]\n  18 -> 26 [size =\"35864576\"]\n  18 -> 27 [size =\"35864576\"]\n  19 [size=\"101519360\", alpha=\"0.14\", expect_size=\"50759680\"] \n  19 -> 26 [size =\"50759680\"]\n  19 -> 27 [size =\"50759680\"]\n  19 -> 28 [size =\"50759680\"]\n  20 [size=\"71444480\", alpha=\"0.13\", expect_size=\"35722240\"] \n  20 -> 24 [size =\"35722240\"]\n  20 -> 26 [size =\"35722240\"]\n  21 [size=\"79319040\", alpha=\"0.05\", expect_size=\"39659520\"] \n  21 -> 24 [size =\"39659520\"]\n  21 -> 25 [size =\"39659520\"]\n  21 -> 26 [size =\"39659520\"]\n  21 -> 27 [size =\"39659520\"]\n  22 [size=\"73283584\", alpha=\"0.10\", expect_size=\"36641792\"] \n  22 -> 24 [size =\"36641792\"]\n  22 -> 25 [size =\"36641792\"]\n  22 -> 26 [size =\"36641792\"]\n  22 -> 27 [size =\"36641792\"]\n  22 -> 28 [size =\"36641792\"]\n  23 [size=\"28755968\", alpha=\"0.08\", expect_size=\"14377984\"] \n  23 -> 24 [size =\"14377984\"]\n  23 -> 26 [size =\"14377984\"]\n  23 -> 28 [size =\"14377984\"]\n  23 -> 29 [size =\"14377984\"]\n  23 -> 30 [size =\"14377984\"]\n  24 [size=\"85833728\", alpha=\"0.20\", expect_size=\"42916864\"] \n  25 [size=\"30308352\", alpha=\"0.03\", expect_size=\"15154176\"] \n  26 [size=\"83621888\", alpha=\"0.13\", expect_size=\"41810944\"] \n  27 [size=\"36163584\", alpha=\"0.04\", expect_size=\"18081792\"] \n  28 [size=\"23029760\", alpha=\"0.16\", expect_size=\"11514880\"] \n  29 [size=\"90734592\", alpha=\"0.07\", expect_size=\"45367296\"] \n  30 [size=\"62197760\", alpha=\"0.20\", expect_size=\"31098880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42846208\", alpha=\"0.11\", expect_size=\"21423104\"] \n  1 -> 2 [size =\"21423104\"]\n  2 [size=\"89505792\", alpha=\"0.14\", expect_size=\"44752896\"] \n  2 -> 3 [size =\"44752896\"]\n  3 [size=\"35975168\", alpha=\"0.04\", expect_size=\"17987584\"] \n  3 -> 4 [size =\"17987584\"]\n  4 [size=\"14739456\", alpha=\"0.10\", expect_size=\"7369728\"] \n  4 -> 5 [size =\"7369728\"]\n  5 [size=\"36440064\", alpha=\"0.08\", expect_size=\"18220032\"] \n  5 -> 6 [size =\"18220032\"]\n  6 [size=\"49182720\", alpha=\"0.14\", expect_size=\"24591360\"] \n  6 -> 7 [size =\"24591360\"]\n  7 [size=\"69758976\", alpha=\"0.02\", expect_size=\"34879488\"] \n  7 -> 8 [size =\"34879488\"]\n  8 [size=\"49715200\", alpha=\"0.05\", expect_size=\"24857600\"] \n  8 -> 9 [size =\"24857600\"]\n  9 [size=\"55617536\", alpha=\"0.14\", expect_size=\"27808768\"] \n  9 -> 10 [size =\"27808768\"]\n  10 [size=\"27629568\", alpha=\"0.02\", expect_size=\"13814784\"] \n  10 -> 11 [size =\"13814784\"]\n  11 [size=\"79990784\", alpha=\"0.10\", expect_size=\"39995392\"] \n  11 -> 12 [size =\"39995392\"]\n  12 [size=\"35512320\", alpha=\"0.05\", expect_size=\"17756160\"] \n  12 -> 13 [size =\"17756160\"]\n  13 [size=\"101804032\", alpha=\"0.04\", expect_size=\"50902016\"] \n  13 -> 14 [size =\"50902016\"]\n  14 [size=\"27267072\", alpha=\"0.01\", expect_size=\"13633536\"] \n  14 -> 15 [size =\"13633536\"]\n  15 [size=\"74752000\", alpha=\"0.14\", expect_size=\"37376000\"] \n  15 -> 16 [size =\"37376000\"]\n  16 [size=\"16705536\", alpha=\"0.17\", expect_size=\"8352768\"] \n  16 -> 17 [size =\"8352768\"]\n  17 [size=\"81297408\", alpha=\"0.00\", expect_size=\"40648704\"] \n  17 -> 18 [size =\"40648704\"]\n  18 [size=\"90048512\", alpha=\"0.18\", expect_size=\"45024256\"] \n  18 -> 19 [size =\"45024256\"]\n  19 [size=\"18710528\", alpha=\"0.15\", expect_size=\"9355264\"] \n  19 -> 20 [size =\"9355264\"]\n  20 [size=\"85680128\", alpha=\"0.08\", expect_size=\"42840064\"] \n  20 -> 21 [size =\"42840064\"]\n  21 [size=\"96212992\", alpha=\"0.08\", expect_size=\"48106496\"] \n  21 -> 22 [size =\"48106496\"]\n  22 [size=\"48021504\", alpha=\"0.04\", expect_size=\"24010752\"] \n  22 -> 23 [size =\"24010752\"]\n  23 [size=\"72460288\", alpha=\"0.06\", expect_size=\"36230144\"] \n  23 -> 24 [size =\"36230144\"]\n  24 [size=\"93249536\", alpha=\"0.08\", expect_size=\"46624768\"] \n  24 -> 25 [size =\"46624768\"]\n  25 [size=\"97988608\", alpha=\"0.16\", expect_size=\"48994304\"] \n  25 -> 26 [size =\"48994304\"]\n  26 [size=\"71495680\", alpha=\"0.13\", expect_size=\"35747840\"] \n  26 -> 27 [size =\"35747840\"]\n  27 [size=\"59246592\", alpha=\"0.02\", expect_size=\"29623296\"] \n  27 -> 28 [size =\"29623296\"]\n  28 [size=\"59332608\", alpha=\"0.19\", expect_size=\"29666304\"] \n  28 -> 29 [size =\"29666304\"]\n  29 [size=\"49090560\", alpha=\"0.06\", expect_size=\"24545280\"] \n  29 -> 30 [size =\"24545280\"]\n  30 [size=\"26595328\", alpha=\"0.16\", expect_size=\"13297664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38455296\", alpha=\"0.00\", expect_size=\"19227648\"] \n  1 -> 2 [size =\"19227648\"]\n  2 [size=\"21121024\", alpha=\"0.15\", expect_size=\"10560512\"] \n  2 -> 3 [size =\"10560512\"]\n  3 [size=\"47587328\", alpha=\"0.18\", expect_size=\"23793664\"] \n  3 -> 4 [size =\"23793664\"]\n  4 [size=\"103143424\", alpha=\"0.00\", expect_size=\"51571712\"] \n  4 -> 5 [size =\"51571712\"]\n  5 [size=\"63082496\", alpha=\"0.08\", expect_size=\"31541248\"] \n  5 -> 6 [size =\"31541248\"]\n  6 [size=\"36831232\", alpha=\"0.09\", expect_size=\"18415616\"] \n  6 -> 7 [size =\"18415616\"]\n  7 [size=\"102400000\", alpha=\"0.13\", expect_size=\"51200000\"] \n  7 -> 8 [size =\"51200000\"]\n  8 [size=\"100945920\", alpha=\"0.09\", expect_size=\"50472960\"] \n  8 -> 9 [size =\"50472960\"]\n  9 [size=\"28405760\", alpha=\"0.05\", expect_size=\"14202880\"] \n  9 -> 10 [size =\"14202880\"]\n  10 [size=\"96761856\", alpha=\"0.18\", expect_size=\"48380928\"] \n  10 -> 11 [size =\"48380928\"]\n  11 [size=\"30355456\", alpha=\"0.05\", expect_size=\"15177728\"] \n  11 -> 12 [size =\"15177728\"]\n  12 [size=\"32471040\", alpha=\"0.07\", expect_size=\"16235520\"] \n  12 -> 13 [size =\"16235520\"]\n  13 [size=\"102342656\", alpha=\"0.06\", expect_size=\"51171328\"] \n  13 -> 14 [size =\"51171328\"]\n  14 [size=\"94713856\", alpha=\"0.02\", expect_size=\"47356928\"] \n  14 -> 15 [size =\"47356928\"]\n  15 [size=\"95709184\", alpha=\"0.08\", expect_size=\"47854592\"] \n  15 -> 16 [size =\"47854592\"]\n  16 [size=\"40564736\", alpha=\"0.13\", expect_size=\"20282368\"] \n  16 -> 17 [size =\"20282368\"]\n  17 [size=\"80730112\", alpha=\"0.12\", expect_size=\"40365056\"] \n  17 -> 18 [size =\"40365056\"]\n  18 [size=\"49897472\", alpha=\"0.15\", expect_size=\"24948736\"] \n  18 -> 19 [size =\"24948736\"]\n  19 [size=\"90705920\", alpha=\"0.17\", expect_size=\"45352960\"] \n  19 -> 20 [size =\"45352960\"]\n  20 [size=\"18497536\", alpha=\"0.16\", expect_size=\"9248768\"] \n  20 -> 21 [size =\"9248768\"]\n  21 [size=\"101941248\", alpha=\"0.01\", expect_size=\"50970624\"] \n  21 -> 22 [size =\"50970624\"]\n  22 [size=\"28891136\", alpha=\"0.08\", expect_size=\"14445568\"] \n  22 -> 23 [size =\"14445568\"]\n  23 [size=\"62646272\", alpha=\"0.03\", expect_size=\"31323136\"] \n  23 -> 24 [size =\"31323136\"]\n  24 [size=\"92551168\", alpha=\"0.17\", expect_size=\"46275584\"] \n  24 -> 25 [size =\"46275584\"]\n  25 [size=\"103094272\", alpha=\"0.03\", expect_size=\"51547136\"] \n  25 -> 26 [size =\"51547136\"]\n  26 [size=\"46888960\", alpha=\"0.14\", expect_size=\"23444480\"] \n  26 -> 27 [size =\"23444480\"]\n  27 [size=\"12703744\", alpha=\"0.05\", expect_size=\"6351872\"] \n  27 -> 28 [size =\"6351872\"]\n  28 [size=\"70637568\", alpha=\"0.15\", expect_size=\"35318784\"] \n  28 -> 29 [size =\"35318784\"]\n  29 [size=\"48076800\", alpha=\"0.09\", expect_size=\"24038400\"] \n  29 -> 30 [size =\"24038400\"]\n  30 [size=\"33073152\", alpha=\"0.01\", expect_size=\"16536576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163536213\", alpha=\"0.12\", expect_size=\"49060864\"] \n  1 -> 21 [size =\"49060864\"]\n  1 -> 27 [size =\"49060864\"]\n  1 -> 28 [size =\"49060864\"]\n  1 -> 30 [size =\"49060864\"]\n  2 [size=\"132341760\", alpha=\"0.06\", expect_size=\"39702528\"] \n  2 -> 28 [size =\"39702528\"]\n  2 -> 29 [size =\"39702528\"]\n  3 [size=\"50391040\", alpha=\"0.12\", expect_size=\"15117312\"] \n  3 -> 25 [size =\"15117312\"]\n  3 -> 27 [size =\"15117312\"]\n  3 -> 28 [size =\"15117312\"]\n  4 [size=\"160682667\", alpha=\"0.10\", expect_size=\"48204800\"] \n  4 -> 25 [size =\"48204800\"]\n  4 -> 30 [size =\"48204800\"]\n  5 [size=\"130430293\", alpha=\"0.08\", expect_size=\"39129088\"] \n  5 -> 21 [size =\"39129088\"]\n  5 -> 27 [size =\"39129088\"]\n  5 -> 28 [size =\"39129088\"]\n  5 -> 30 [size =\"39129088\"]\n  6 [size=\"55005867\", alpha=\"0.02\", expect_size=\"16501760\"] \n  6 -> 21 [size =\"16501760\"]\n  6 -> 22 [size =\"16501760\"]\n  6 -> 23 [size =\"16501760\"]\n  6 -> 24 [size =\"16501760\"]\n  6 -> 26 [size =\"16501760\"]\n  6 -> 28 [size =\"16501760\"]\n  6 -> 29 [size =\"16501760\"]\n  7 [size=\"119268693\", alpha=\"0.04\", expect_size=\"35780608\"] \n  7 -> 21 [size =\"35780608\"]\n  7 -> 24 [size =\"35780608\"]\n  7 -> 27 [size =\"35780608\"]\n  7 -> 28 [size =\"35780608\"]\n  7 -> 29 [size =\"35780608\"]\n  8 [size=\"95252480\", alpha=\"0.06\", expect_size=\"28575744\"] \n  8 -> 20 [size =\"28575744\"]\n  8 -> 21 [size =\"28575744\"]\n  8 -> 26 [size =\"28575744\"]\n  8 -> 28 [size =\"28575744\"]\n  8 -> 29 [size =\"28575744\"]\n  9 [size=\"43956907\", alpha=\"0.07\", expect_size=\"13187072\"] \n  9 -> 27 [size =\"13187072\"]\n  10 [size=\"167335253\", alpha=\"0.16\", expect_size=\"50200576\"] \n  10 -> 20 [size =\"50200576\"]\n  10 -> 24 [size =\"50200576\"]\n  10 -> 25 [size =\"50200576\"]\n  10 -> 26 [size =\"50200576\"]\n  10 -> 27 [size =\"50200576\"]\n  11 [size=\"97706667\", alpha=\"0.14\", expect_size=\"29312000\"] \n  11 -> 24 [size =\"29312000\"]\n  11 -> 25 [size =\"29312000\"]\n  11 -> 28 [size =\"29312000\"]\n  12 [size=\"33549653\", alpha=\"0.15\", expect_size=\"10064896\"] \n  12 -> 24 [size =\"10064896\"]\n  12 -> 28 [size =\"10064896\"]\n  13 [size=\"76987733\", alpha=\"0.06\", expect_size=\"23096320\"] \n  13 -> 21 [size =\"23096320\"]\n  13 -> 24 [size =\"23096320\"]\n  13 -> 28 [size =\"23096320\"]\n  14 [size=\"174370133\", alpha=\"0.02\", expect_size=\"52311040\"] \n  14 -> 20 [size =\"52311040\"]\n  14 -> 21 [size =\"52311040\"]\n  14 -> 24 [size =\"52311040\"]\n  14 -> 27 [size =\"52311040\"]\n  14 -> 28 [size =\"52311040\"]\n  14 -> 29 [size =\"52311040\"]\n  15 [size=\"98775040\", alpha=\"0.20\", expect_size=\"29632512\"] \n  15 -> 20 [size =\"29632512\"]\n  15 -> 24 [size =\"29632512\"]\n  15 -> 24 [size =\"29632512\"]\n  15 -> 26 [size =\"29632512\"]\n  15 -> 28 [size =\"29632512\"]\n  15 -> 30 [size =\"29632512\"]\n  16 [size=\"159511893\", alpha=\"0.03\", expect_size=\"47853568\"] \n  16 -> 20 [size =\"47853568\"]\n  16 -> 26 [size =\"47853568\"]\n  16 -> 28 [size =\"47853568\"]\n  17 [size=\"173226667\", alpha=\"0.19\", expect_size=\"51968000\"] \n  17 -> 21 [size =\"51968000\"]\n  17 -> 25 [size =\"51968000\"]\n  17 -> 30 [size =\"51968000\"]\n  18 [size=\"44885333\", alpha=\"0.07\", expect_size=\"13465600\"] \n  18 -> 20 [size =\"13465600\"]\n  18 -> 25 [size =\"13465600\"]\n  18 -> 30 [size =\"13465600\"]\n  19 [size=\"89644373\", alpha=\"0.13\", expect_size=\"26893312\"] \n  19 -> 20 [size =\"26893312\"]\n  19 -> 23 [size =\"26893312\"]\n  19 -> 24 [size =\"26893312\"]\n  19 -> 26 [size =\"26893312\"]\n  20 [size=\"146749440\", alpha=\"0.14\", expect_size=\"44024832\"] \n  21 [size=\"111892480\", alpha=\"0.14\", expect_size=\"33567744\"] \n  22 [size=\"67239253\", alpha=\"0.09\", expect_size=\"20171776\"] \n  23 [size=\"31805440\", alpha=\"0.07\", expect_size=\"9541632\"] \n  24 [size=\"77527040\", alpha=\"0.04\", expect_size=\"23258112\"] \n  25 [size=\"93948587\", alpha=\"0.16\", expect_size=\"28184576\"] \n  26 [size=\"90845867\", alpha=\"0.12\", expect_size=\"27253760\"] \n  27 [size=\"111080107\", alpha=\"0.01\", expect_size=\"33324032\"] \n  28 [size=\"100225707\", alpha=\"0.19\", expect_size=\"30067712\"] \n  29 [size=\"155388587\", alpha=\"0.02\", expect_size=\"46616576\"] \n  30 [size=\"98969600\", alpha=\"0.03\", expect_size=\"29690880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87115776\", alpha=\"0.03\", expect_size=\"43557888\"] \n  1 -> 4 [size =\"43557888\"]\n  1 -> 6 [size =\"43557888\"]\n  2 [size=\"31666176\", alpha=\"0.02\", expect_size=\"15833088\"] \n  2 -> 5 [size =\"15833088\"]\n  2 -> 6 [size =\"15833088\"]\n  2 -> 7 [size =\"15833088\"]\n  3 [size=\"75560960\", alpha=\"0.15\", expect_size=\"37780480\"] \n  3 -> 4 [size =\"37780480\"]\n  3 -> 5 [size =\"37780480\"]\n  4 [size=\"81545216\", alpha=\"0.08\", expect_size=\"40772608\"] \n  4 -> 8 [size =\"40772608\"]\n  5 [size=\"36425728\", alpha=\"0.01\", expect_size=\"18212864\"] \n  6 [size=\"78073856\", alpha=\"0.14\", expect_size=\"39036928\"] \n  6 -> 9 [size =\"39036928\"]\n  7 [size=\"16441344\", alpha=\"0.00\", expect_size=\"8220672\"] \n  8 [size=\"62437376\", alpha=\"0.03\", expect_size=\"31218688\"] \n  8 -> 10 [size =\"31218688\"]\n  9 [size=\"98033664\", alpha=\"0.14\", expect_size=\"49016832\"] \n  9 -> 10 [size =\"49016832\"]\n  9 -> 11 [size =\"49016832\"]\n  9 -> 12 [size =\"49016832\"]\n  9 -> 13 [size =\"49016832\"]\n  9 -> 14 [size =\"49016832\"]\n  10 [size=\"46370816\", alpha=\"0.10\", expect_size=\"23185408\"] \n  10 -> 17 [size =\"23185408\"]\n  10 -> 18 [size =\"23185408\"]\n  11 [size=\"32876544\", alpha=\"0.13\", expect_size=\"16438272\"] \n  12 [size=\"44859392\", alpha=\"0.05\", expect_size=\"22429696\"] \n  12 -> 15 [size =\"22429696\"]\n  13 [size=\"55197696\", alpha=\"0.11\", expect_size=\"27598848\"] \n  13 -> 18 [size =\"27598848\"]\n  14 [size=\"30025728\", alpha=\"0.11\", expect_size=\"15012864\"] \n  14 -> 15 [size =\"15012864\"]\n  14 -> 16 [size =\"15012864\"]\n  14 -> 17 [size =\"15012864\"]\n  15 [size=\"66979840\", alpha=\"0.09\", expect_size=\"33489920\"] \n  15 -> 20 [size =\"33489920\"]\n  16 [size=\"73259008\", alpha=\"0.06\", expect_size=\"36629504\"] \n  16 -> 19 [size =\"36629504\"]\n  16 -> 20 [size =\"36629504\"]\n  16 -> 21 [size =\"36629504\"]\n  17 [size=\"46411776\", alpha=\"0.09\", expect_size=\"23205888\"] \n  17 -> 20 [size =\"23205888\"]\n  18 [size=\"47835136\", alpha=\"0.15\", expect_size=\"23917568\"] \n  19 [size=\"61116416\", alpha=\"0.00\", expect_size=\"30558208\"] \n  19 -> 22 [size =\"30558208\"]\n  19 -> 23 [size =\"30558208\"]\n  19 -> 24 [size =\"30558208\"]\n  19 -> 27 [size =\"30558208\"]\n  20 [size=\"33851392\", alpha=\"0.10\", expect_size=\"16925696\"] \n  20 -> 22 [size =\"16925696\"]\n  20 -> 24 [size =\"16925696\"]\n  20 -> 25 [size =\"16925696\"]\n  20 -> 26 [size =\"16925696\"]\n  20 -> 27 [size =\"16925696\"]\n  21 [size=\"79417344\", alpha=\"0.15\", expect_size=\"39708672\"] \n  21 -> 25 [size =\"39708672\"]\n  22 [size=\"47106048\", alpha=\"0.05\", expect_size=\"23553024\"] \n  22 -> 29 [size =\"23553024\"]\n  23 [size=\"71794688\", alpha=\"0.09\", expect_size=\"35897344\"] \n  23 -> 28 [size =\"35897344\"]\n  23 -> 29 [size =\"35897344\"]\n  24 [size=\"28596224\", alpha=\"0.08\", expect_size=\"14298112\"] \n  24 -> 30 [size =\"14298112\"]\n  25 [size=\"81453056\", alpha=\"0.12\", expect_size=\"40726528\"] \n  25 -> 30 [size =\"40726528\"]\n  26 [size=\"29650944\", alpha=\"0.10\", expect_size=\"14825472\"] \n  26 -> 29 [size =\"14825472\"]\n  26 -> 30 [size =\"14825472\"]\n  27 [size=\"58593280\", alpha=\"0.10\", expect_size=\"29296640\"] \n  27 -> 28 [size =\"29296640\"]\n  28 [size=\"102092800\", alpha=\"0.01\", expect_size=\"51046400\"] \n  29 [size=\"76414976\", alpha=\"0.11\", expect_size=\"38207488\"] \n  30 [size=\"78583808\", alpha=\"0.08\", expect_size=\"39291904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45457920\", alpha=\"0.02\", expect_size=\"18183168\"] \n  1 -> 4 [size =\"18183168\"]\n  2 [size=\"57095680\", alpha=\"0.06\", expect_size=\"22838272\"] \n  2 -> 3 [size =\"22838272\"]\n  3 [size=\"33205760\", alpha=\"0.01\", expect_size=\"13282304\"] \n  3 -> 6 [size =\"13282304\"]\n  4 [size=\"30607360\", alpha=\"0.05\", expect_size=\"12242944\"] \n  4 -> 5 [size =\"12242944\"]\n  5 [size=\"46955520\", alpha=\"0.12\", expect_size=\"18782208\"] \n  5 -> 7 [size =\"18782208\"]\n  5 -> 8 [size =\"18782208\"]\n  6 [size=\"129520640\", alpha=\"0.11\", expect_size=\"51808256\"] \n  7 [size=\"74017280\", alpha=\"0.07\", expect_size=\"29606912\"] \n  8 [size=\"115688960\", alpha=\"0.02\", expect_size=\"46275584\"] \n  8 -> 9 [size =\"46275584\"]\n  8 -> 10 [size =\"46275584\"]\n  9 [size=\"107054080\", alpha=\"0.16\", expect_size=\"42821632\"] \n  10 [size=\"25095680\", alpha=\"0.09\", expect_size=\"10038272\"] \n  10 -> 11 [size =\"10038272\"]\n  10 -> 12 [size =\"10038272\"]\n  11 [size=\"102489600\", alpha=\"0.20\", expect_size=\"40995840\"] \n  12 [size=\"113469440\", alpha=\"0.09\", expect_size=\"45387776\"] \n  12 -> 13 [size =\"45387776\"]\n  13 [size=\"30656000\", alpha=\"0.16\", expect_size=\"12262400\"] \n  13 -> 14 [size =\"12262400\"]\n  13 -> 15 [size =\"12262400\"]\n  14 [size=\"35028480\", alpha=\"0.19\", expect_size=\"14011392\"] \n  14 -> 16 [size =\"14011392\"]\n  15 [size=\"62315520\", alpha=\"0.09\", expect_size=\"24926208\"] \n  15 -> 17 [size =\"24926208\"]\n  16 [size=\"15477760\", alpha=\"0.11\", expect_size=\"6191104\"] \n  17 [size=\"78663680\", alpha=\"0.07\", expect_size=\"31465472\"] \n  17 -> 18 [size =\"31465472\"]\n  17 -> 19 [size =\"31465472\"]\n  18 [size=\"121013760\", alpha=\"0.19\", expect_size=\"48405504\"] \n  18 -> 20 [size =\"48405504\"]\n  19 [size=\"130744320\", alpha=\"0.04\", expect_size=\"52297728\"] \n  19 -> 21 [size =\"52297728\"]\n  20 [size=\"105574400\", alpha=\"0.04\", expect_size=\"42229760\"] \n  20 -> 23 [size =\"42229760\"]\n  21 [size=\"39971840\", alpha=\"0.09\", expect_size=\"15988736\"] \n  21 -> 22 [size =\"15988736\"]\n  22 [size=\"37752320\", alpha=\"0.02\", expect_size=\"15100928\"] \n  23 [size=\"92392960\", alpha=\"0.18\", expect_size=\"36957184\"] \n  23 -> 24 [size =\"36957184\"]\n  24 [size=\"66570240\", alpha=\"0.17\", expect_size=\"26628096\"] \n  24 -> 25 [size =\"26628096\"]\n  24 -> 26 [size =\"26628096\"]\n  25 [size=\"61839360\", alpha=\"0.02\", expect_size=\"24735744\"] \n  26 [size=\"113292800\", alpha=\"0.07\", expect_size=\"45317120\"] \n  26 -> 27 [size =\"45317120\"]\n  26 -> 28 [size =\"45317120\"]\n  27 [size=\"57428480\", alpha=\"0.02\", expect_size=\"22971392\"] \n  28 [size=\"100920320\", alpha=\"0.14\", expect_size=\"40368128\"] \n  28 -> 29 [size =\"40368128\"]\n  28 -> 30 [size =\"40368128\"]\n  29 [size=\"95027200\", alpha=\"0.03\", expect_size=\"38010880\"] \n  30 [size=\"116682240\", alpha=\"0.13\", expect_size=\"46672896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17925120\", alpha=\"0.02\", expect_size=\"7170048\"] \n  1 -> 24 [size =\"7170048\"]\n  1 -> 25 [size =\"7170048\"]\n  1 -> 27 [size =\"7170048\"]\n  1 -> 30 [size =\"7170048\"]\n  2 [size=\"44782080\", alpha=\"0.17\", expect_size=\"17912832\"] \n  2 -> 24 [size =\"17912832\"]\n  2 -> 26 [size =\"17912832\"]\n  2 -> 28 [size =\"17912832\"]\n  3 [size=\"53061120\", alpha=\"0.13\", expect_size=\"21224448\"] \n  3 -> 24 [size =\"21224448\"]\n  3 -> 28 [size =\"21224448\"]\n  3 -> 30 [size =\"21224448\"]\n  4 [size=\"75980800\", alpha=\"0.17\", expect_size=\"30392320\"] \n  4 -> 24 [size =\"30392320\"]\n  4 -> 26 [size =\"30392320\"]\n  4 -> 28 [size =\"30392320\"]\n  4 -> 30 [size =\"30392320\"]\n  5 [size=\"89367040\", alpha=\"0.13\", expect_size=\"35746816\"] \n  5 -> 24 [size =\"35746816\"]\n  5 -> 28 [size =\"35746816\"]\n  6 [size=\"21713920\", alpha=\"0.04\", expect_size=\"8685568\"] \n  6 -> 24 [size =\"8685568\"]\n  6 -> 28 [size =\"8685568\"]\n  6 -> 30 [size =\"8685568\"]\n  7 [size=\"29038080\", alpha=\"0.12\", expect_size=\"11615232\"] \n  7 -> 28 [size =\"11615232\"]\n  7 -> 30 [size =\"11615232\"]\n  8 [size=\"80325120\", alpha=\"0.12\", expect_size=\"32130048\"] \n  8 -> 24 [size =\"32130048\"]\n  8 -> 29 [size =\"32130048\"]\n  9 [size=\"85009920\", alpha=\"0.20\", expect_size=\"34003968\"] \n  9 -> 23 [size =\"34003968\"]\n  9 -> 25 [size =\"34003968\"]\n  9 -> 27 [size =\"34003968\"]\n  9 -> 28 [size =\"34003968\"]\n  9 -> 29 [size =\"34003968\"]\n  9 -> 30 [size =\"34003968\"]\n  10 [size=\"26882560\", alpha=\"0.08\", expect_size=\"10753024\"] \n  10 -> 20 [size =\"10753024\"]\n  11 [size=\"20029440\", alpha=\"0.01\", expect_size=\"8011776\"] \n  11 -> 22 [size =\"8011776\"]\n  11 -> 24 [size =\"8011776\"]\n  12 [size=\"34416640\", alpha=\"0.13\", expect_size=\"13766656\"] \n  12 -> 21 [size =\"13766656\"]\n  12 -> 24 [size =\"13766656\"]\n  12 -> 29 [size =\"13766656\"]\n  13 [size=\"14510080\", alpha=\"0.15\", expect_size=\"5804032\"] \n  13 -> 20 [size =\"5804032\"]\n  14 [size=\"93936640\", alpha=\"0.17\", expect_size=\"37574656\"] \n  14 -> 22 [size =\"37574656\"]\n  14 -> 28 [size =\"37574656\"]\n  14 -> 30 [size =\"37574656\"]\n  15 [size=\"78277120\", alpha=\"0.19\", expect_size=\"31310848\"] \n  15 -> 24 [size =\"31310848\"]\n  15 -> 28 [size =\"31310848\"]\n  15 -> 30 [size =\"31310848\"]\n  16 [size=\"35814400\", alpha=\"0.18\", expect_size=\"14325760\"] \n  16 -> 20 [size =\"14325760\"]\n  16 -> 30 [size =\"14325760\"]\n  17 [size=\"59335680\", alpha=\"0.16\", expect_size=\"23734272\"] \n  17 -> 22 [size =\"23734272\"]\n  17 -> 24 [size =\"23734272\"]\n  17 -> 26 [size =\"23734272\"]\n  17 -> 27 [size =\"23734272\"]\n  18 [size=\"127649280\", alpha=\"0.16\", expect_size=\"51059712\"] \n  18 -> 24 [size =\"51059712\"]\n  18 -> 28 [size =\"51059712\"]\n  19 [size=\"81692160\", alpha=\"0.09\", expect_size=\"32676864\"] \n  19 -> 20 [size =\"32676864\"]\n  19 -> 28 [size =\"32676864\"]\n  20 [size=\"78848000\", alpha=\"0.06\", expect_size=\"31539200\"] \n  21 [size=\"125217280\", alpha=\"0.04\", expect_size=\"50086912\"] \n  22 [size=\"14750720\", alpha=\"0.07\", expect_size=\"5900288\"] \n  23 [size=\"90234880\", alpha=\"0.17\", expect_size=\"36093952\"] \n  24 [size=\"59269120\", alpha=\"0.17\", expect_size=\"23707648\"] \n  25 [size=\"41264640\", alpha=\"0.11\", expect_size=\"16505856\"] \n  26 [size=\"32471040\", alpha=\"0.06\", expect_size=\"12988416\"] \n  27 [size=\"21708800\", alpha=\"0.03\", expect_size=\"8683520\"] \n  28 [size=\"118471680\", alpha=\"0.12\", expect_size=\"47388672\"] \n  29 [size=\"97615360\", alpha=\"0.14\", expect_size=\"39046144\"] \n  30 [size=\"33223680\", alpha=\"0.17\", expect_size=\"13289472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145493333\", alpha=\"0.02\", expect_size=\"43648000\"] \n  1 -> 2 [size =\"43648000\"]\n  2 [size=\"22435840\", alpha=\"0.03\", expect_size=\"6730752\"] \n  2 -> 3 [size =\"6730752\"]\n  3 [size=\"56439467\", alpha=\"0.06\", expect_size=\"16931840\"] \n  3 -> 4 [size =\"16931840\"]\n  4 [size=\"98775040\", alpha=\"0.12\", expect_size=\"29632512\"] \n  4 -> 5 [size =\"29632512\"]\n  5 [size=\"18783573\", alpha=\"0.08\", expect_size=\"5635072\"] \n  5 -> 6 [size =\"5635072\"]\n  6 [size=\"163986773\", alpha=\"0.14\", expect_size=\"49196032\"] \n  6 -> 7 [size =\"49196032\"]\n  6 -> 8 [size =\"49196032\"]\n  7 [size=\"115957760\", alpha=\"0.02\", expect_size=\"34787328\"] \n  7 -> 9 [size =\"34787328\"]\n  8 [size=\"33208320\", alpha=\"0.02\", expect_size=\"9962496\"] \n  8 -> 10 [size =\"9962496\"]\n  9 [size=\"112981333\", alpha=\"0.10\", expect_size=\"33894400\"] \n  9 -> 11 [size =\"33894400\"]\n  9 -> 12 [size =\"33894400\"]\n  10 [size=\"117387947\", alpha=\"0.00\", expect_size=\"35216384\"] \n  10 -> 11 [size =\"35216384\"]\n  10 -> 12 [size =\"35216384\"]\n  11 [size=\"115957760\", alpha=\"0.19\", expect_size=\"34787328\"] \n  11 -> 13 [size =\"34787328\"]\n  12 [size=\"128010240\", alpha=\"0.20\", expect_size=\"38403072\"] \n  12 -> 13 [size =\"38403072\"]\n  13 [size=\"154781013\", alpha=\"0.12\", expect_size=\"46434304\"] \n  13 -> 14 [size =\"46434304\"]\n  13 -> 15 [size =\"46434304\"]\n  14 [size=\"45632853\", alpha=\"0.06\", expect_size=\"13689856\"] \n  14 -> 16 [size =\"13689856\"]\n  15 [size=\"142984533\", alpha=\"0.05\", expect_size=\"42895360\"] \n  15 -> 16 [size =\"42895360\"]\n  16 [size=\"51729067\", alpha=\"0.03\", expect_size=\"15518720\"] \n  16 -> 17 [size =\"15518720\"]\n  17 [size=\"160197973\", alpha=\"0.08\", expect_size=\"48059392\"] \n  17 -> 18 [size =\"48059392\"]\n  18 [size=\"19479893\", alpha=\"0.16\", expect_size=\"5843968\"] \n  18 -> 19 [size =\"5843968\"]\n  19 [size=\"36205227\", alpha=\"0.15\", expect_size=\"10861568\"] \n  19 -> 20 [size =\"10861568\"]\n  20 [size=\"111735467\", alpha=\"0.01\", expect_size=\"33520640\"] \n  20 -> 21 [size =\"33520640\"]\n  20 -> 22 [size =\"33520640\"]\n  21 [size=\"112496640\", alpha=\"0.02\", expect_size=\"33748992\"] \n  22 [size=\"108113920\", alpha=\"0.04\", expect_size=\"32434176\"] \n  22 -> 23 [size =\"32434176\"]\n  22 -> 24 [size =\"32434176\"]\n  23 [size=\"108083200\", alpha=\"0.11\", expect_size=\"32424960\"] \n  23 -> 25 [size =\"32424960\"]\n  24 [size=\"42673493\", alpha=\"0.09\", expect_size=\"12802048\"] \n  24 -> 25 [size =\"12802048\"]\n  25 [size=\"92238507\", alpha=\"0.07\", expect_size=\"27671552\"] \n  25 -> 26 [size =\"27671552\"]\n  26 [size=\"132635307\", alpha=\"0.03\", expect_size=\"39790592\"] \n  26 -> 27 [size =\"39790592\"]\n  27 [size=\"156047360\", alpha=\"0.12\", expect_size=\"46814208\"] \n  27 -> 28 [size =\"46814208\"]\n  27 -> 29 [size =\"46814208\"]\n  28 [size=\"61422933\", alpha=\"0.02\", expect_size=\"18426880\"] \n  28 -> 30 [size =\"18426880\"]\n  29 [size=\"26586453\", alpha=\"0.05\", expect_size=\"7975936\"] \n  29 -> 30 [size =\"7975936\"]\n  30 [size=\"146322773\", alpha=\"0.01\", expect_size=\"43896832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37824000\", alpha=\"0.04\", expect_size=\"15129600\"] \n  2 [size=\"21683200\", alpha=\"0.18\", expect_size=\"8673280\"] \n  2 -> 5 [size =\"8673280\"]\n  2 -> 6 [size =\"8673280\"]\n  3 [size=\"115128320\", alpha=\"0.05\", expect_size=\"46051328\"] \n  3 -> 5 [size =\"46051328\"]\n  4 [size=\"112803840\", alpha=\"0.12\", expect_size=\"45121536\"] \n  5 [size=\"117949440\", alpha=\"0.08\", expect_size=\"47179776\"] \n  5 -> 7 [size =\"47179776\"]\n  5 -> 8 [size =\"47179776\"]\n  6 [size=\"16171520\", alpha=\"0.18\", expect_size=\"6468608\"] \n  6 -> 9 [size =\"6468608\"]\n  7 [size=\"53703680\", alpha=\"0.16\", expect_size=\"21481472\"] \n  7 -> 11 [size =\"21481472\"]\n  7 -> 12 [size =\"21481472\"]\n  7 -> 13 [size =\"21481472\"]\n  7 -> 14 [size =\"21481472\"]\n  7 -> 15 [size =\"21481472\"]\n  8 [size=\"95022080\", alpha=\"0.01\", expect_size=\"38008832\"] \n  8 -> 10 [size =\"38008832\"]\n  8 -> 13 [size =\"38008832\"]\n  9 [size=\"89149440\", alpha=\"0.04\", expect_size=\"35659776\"] \n  9 -> 11 [size =\"35659776\"]\n  9 -> 14 [size =\"35659776\"]\n  9 -> 16 [size =\"35659776\"]\n  10 [size=\"91432960\", alpha=\"0.05\", expect_size=\"36573184\"] \n  10 -> 18 [size =\"36573184\"]\n  10 -> 20 [size =\"36573184\"]\n  11 [size=\"83740160\", alpha=\"0.09\", expect_size=\"33496064\"] \n  11 -> 19 [size =\"33496064\"]\n  12 [size=\"108864000\", alpha=\"0.01\", expect_size=\"43545600\"] \n  12 -> 17 [size =\"43545600\"]\n  12 -> 18 [size =\"43545600\"]\n  13 [size=\"98682880\", alpha=\"0.13\", expect_size=\"39473152\"] \n  14 [size=\"128453120\", alpha=\"0.11\", expect_size=\"51381248\"] \n  14 -> 17 [size =\"51381248\"]\n  15 [size=\"84032000\", alpha=\"0.02\", expect_size=\"33612800\"] \n  15 -> 17 [size =\"33612800\"]\n  16 [size=\"14999040\", alpha=\"0.01\", expect_size=\"5999616\"] \n  16 -> 20 [size =\"5999616\"]\n  17 [size=\"121692160\", alpha=\"0.18\", expect_size=\"48676864\"] \n  17 -> 22 [size =\"48676864\"]\n  18 [size=\"98001920\", alpha=\"0.17\", expect_size=\"39200768\"] \n  19 [size=\"103603200\", alpha=\"0.04\", expect_size=\"41441280\"] \n  19 -> 21 [size =\"41441280\"]\n  19 -> 23 [size =\"41441280\"]\n  20 [size=\"126666240\", alpha=\"0.10\", expect_size=\"50666496\"] \n  20 -> 21 [size =\"50666496\"]\n  20 -> 23 [size =\"50666496\"]\n  21 [size=\"38394880\", alpha=\"0.01\", expect_size=\"15357952\"] \n  22 [size=\"88770560\", alpha=\"0.13\", expect_size=\"35508224\"] \n  22 -> 24 [size =\"35508224\"]\n  22 -> 25 [size =\"35508224\"]\n  23 [size=\"92753920\", alpha=\"0.02\", expect_size=\"37101568\"] \n  23 -> 24 [size =\"37101568\"]\n  23 -> 25 [size =\"37101568\"]\n  24 [size=\"52257280\", alpha=\"0.08\", expect_size=\"20902912\"] \n  24 -> 26 [size =\"20902912\"]\n  25 [size=\"119851520\", alpha=\"0.12\", expect_size=\"47940608\"] \n  25 -> 27 [size =\"47940608\"]\n  26 [size=\"15795200\", alpha=\"0.17\", expect_size=\"6318080\"] \n  27 [size=\"22384640\", alpha=\"0.08\", expect_size=\"8953856\"] \n  27 -> 28 [size =\"8953856\"]\n  27 -> 29 [size =\"8953856\"]\n  28 [size=\"130437120\", alpha=\"0.13\", expect_size=\"52174848\"] \n  29 [size=\"114961920\", alpha=\"0.12\", expect_size=\"45984768\"] \n  29 -> 30 [size =\"45984768\"]\n  30 [size=\"18024960\", alpha=\"0.03\", expect_size=\"7209984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113994240\", alpha=\"0.05\", expect_size=\"45597696\"] \n  1 -> 24 [size =\"45597696\"]\n  1 -> 28 [size =\"45597696\"]\n  1 -> 30 [size =\"45597696\"]\n  2 [size=\"82905600\", alpha=\"0.02\", expect_size=\"33162240\"] \n  2 -> 24 [size =\"33162240\"]\n  2 -> 26 [size =\"33162240\"]\n  2 -> 30 [size =\"33162240\"]\n  3 [size=\"33116160\", alpha=\"0.15\", expect_size=\"13246464\"] \n  3 -> 23 [size =\"13246464\"]\n  3 -> 27 [size =\"13246464\"]\n  4 [size=\"72332800\", alpha=\"0.04\", expect_size=\"28933120\"] \n  4 -> 26 [size =\"28933120\"]\n  4 -> 27 [size =\"28933120\"]\n  4 -> 29 [size =\"28933120\"]\n  4 -> 30 [size =\"28933120\"]\n  5 [size=\"24130560\", alpha=\"0.15\", expect_size=\"9652224\"] \n  5 -> 23 [size =\"9652224\"]\n  5 -> 30 [size =\"9652224\"]\n  6 [size=\"90437120\", alpha=\"0.13\", expect_size=\"36174848\"] \n  6 -> 23 [size =\"36174848\"]\n  6 -> 24 [size =\"36174848\"]\n  6 -> 27 [size =\"36174848\"]\n  6 -> 30 [size =\"36174848\"]\n  7 [size=\"20858880\", alpha=\"0.16\", expect_size=\"8343552\"] \n  7 -> 23 [size =\"8343552\"]\n  7 -> 24 [size =\"8343552\"]\n  7 -> 30 [size =\"8343552\"]\n  8 [size=\"47610880\", alpha=\"0.20\", expect_size=\"19044352\"] \n  8 -> 24 [size =\"19044352\"]\n  8 -> 24 [size =\"19044352\"]\n  8 -> 30 [size =\"19044352\"]\n  9 [size=\"114964480\", alpha=\"0.01\", expect_size=\"45985792\"] \n  9 -> 23 [size =\"45985792\"]\n  9 -> 24 [size =\"45985792\"]\n  9 -> 27 [size =\"45985792\"]\n  9 -> 28 [size =\"45985792\"]\n  9 -> 29 [size =\"45985792\"]\n  10 [size=\"130408960\", alpha=\"0.12\", expect_size=\"52163584\"] \n  10 -> 23 [size =\"52163584\"]\n  10 -> 24 [size =\"52163584\"]\n  10 -> 27 [size =\"52163584\"]\n  10 -> 28 [size =\"52163584\"]\n  10 -> 29 [size =\"52163584\"]\n  10 -> 30 [size =\"52163584\"]\n  11 [size=\"120911360\", alpha=\"0.14\", expect_size=\"48364544\"] \n  11 -> 23 [size =\"48364544\"]\n  11 -> 27 [size =\"48364544\"]\n  11 -> 30 [size =\"48364544\"]\n  12 [size=\"29498880\", alpha=\"0.08\", expect_size=\"11799552\"] \n  12 -> 23 [size =\"11799552\"]\n  12 -> 27 [size =\"11799552\"]\n  12 -> 29 [size =\"11799552\"]\n  12 -> 30 [size =\"11799552\"]\n  13 [size=\"41315840\", alpha=\"0.11\", expect_size=\"16526336\"] \n  13 -> 23 [size =\"16526336\"]\n  13 -> 24 [size =\"16526336\"]\n  13 -> 27 [size =\"16526336\"]\n  14 [size=\"127270400\", alpha=\"0.01\", expect_size=\"50908160\"] \n  14 -> 24 [size =\"50908160\"]\n  14 -> 24 [size =\"50908160\"]\n  14 -> 27 [size =\"50908160\"]\n  14 -> 29 [size =\"50908160\"]\n  14 -> 30 [size =\"50908160\"]\n  15 [size=\"30092800\", alpha=\"0.08\", expect_size=\"12037120\"] \n  15 -> 24 [size =\"12037120\"]\n  15 -> 25 [size =\"12037120\"]\n  15 -> 29 [size =\"12037120\"]\n  16 [size=\"115939840\", alpha=\"0.10\", expect_size=\"46375936\"] \n  16 -> 23 [size =\"46375936\"]\n  16 -> 24 [size =\"46375936\"]\n  16 -> 30 [size =\"46375936\"]\n  17 [size=\"76797440\", alpha=\"0.05\", expect_size=\"30718976\"] \n  17 -> 23 [size =\"30718976\"]\n  17 -> 29 [size =\"30718976\"]\n  17 -> 30 [size =\"30718976\"]\n  18 [size=\"52426240\", alpha=\"0.03\", expect_size=\"20970496\"] \n  18 -> 29 [size =\"20970496\"]\n  19 [size=\"50437120\", alpha=\"0.08\", expect_size=\"20174848\"] \n  19 -> 27 [size =\"20174848\"]\n  19 -> 29 [size =\"20174848\"]\n  19 -> 30 [size =\"20174848\"]\n  20 [size=\"53655040\", alpha=\"0.09\", expect_size=\"21462016\"] \n  20 -> 23 [size =\"21462016\"]\n  20 -> 24 [size =\"21462016\"]\n  20 -> 29 [size =\"21462016\"]\n  21 [size=\"123696640\", alpha=\"0.07\", expect_size=\"49478656\"] \n  21 -> 23 [size =\"49478656\"]\n  21 -> 29 [size =\"49478656\"]\n  21 -> 29 [size =\"49478656\"]\n  22 [size=\"86374400\", alpha=\"0.17\", expect_size=\"34549760\"] \n  22 -> 23 [size =\"34549760\"]\n  22 -> 24 [size =\"34549760\"]\n  22 -> 28 [size =\"34549760\"]\n  22 -> 29 [size =\"34549760\"]\n  23 [size=\"18488320\", alpha=\"0.10\", expect_size=\"7395328\"] \n  24 [size=\"80803840\", alpha=\"0.13\", expect_size=\"32321536\"] \n  25 [size=\"85954560\", alpha=\"0.18\", expect_size=\"34381824\"] \n  26 [size=\"130398720\", alpha=\"0.16\", expect_size=\"52159488\"] \n  27 [size=\"73328640\", alpha=\"0.15\", expect_size=\"29331456\"] \n  28 [size=\"102755840\", alpha=\"0.00\", expect_size=\"41102336\"] \n  29 [size=\"117575680\", alpha=\"0.03\", expect_size=\"47030272\"] \n  30 [size=\"49676800\", alpha=\"0.05\", expect_size=\"19870720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126914560\", alpha=\"0.16\", expect_size=\"38074368\"] \n  1 -> 7 [size =\"38074368\"]\n  2 [size=\"136113493\", alpha=\"0.17\", expect_size=\"40834048\"] \n  2 -> 8 [size =\"40834048\"]\n  2 -> 9 [size =\"40834048\"]\n  3 [size=\"141380267\", alpha=\"0.15\", expect_size=\"42414080\"] \n  3 -> 5 [size =\"42414080\"]\n  3 -> 6 [size =\"42414080\"]\n  3 -> 9 [size =\"42414080\"]\n  4 [size=\"111933440\", alpha=\"0.11\", expect_size=\"33580032\"] \n  4 -> 7 [size =\"33580032\"]\n  4 -> 8 [size =\"33580032\"]\n  4 -> 9 [size =\"33580032\"]\n  5 [size=\"96645120\", alpha=\"0.17\", expect_size=\"28993536\"] \n  5 -> 13 [size =\"28993536\"]\n  6 [size=\"50937173\", alpha=\"0.17\", expect_size=\"15281152\"] \n  6 -> 10 [size =\"15281152\"]\n  6 -> 11 [size =\"15281152\"]\n  6 -> 12 [size =\"15281152\"]\n  7 [size=\"168174933\", alpha=\"0.04\", expect_size=\"50452480\"] \n  8 [size=\"53937493\", alpha=\"0.16\", expect_size=\"16181248\"] \n  8 -> 10 [size =\"16181248\"]\n  8 -> 11 [size =\"16181248\"]\n  8 -> 13 [size =\"16181248\"]\n  9 [size=\"99051520\", alpha=\"0.05\", expect_size=\"29715456\"] \n  9 -> 13 [size =\"29715456\"]\n  10 [size=\"57268907\", alpha=\"0.06\", expect_size=\"17180672\"] \n  10 -> 15 [size =\"17180672\"]\n  10 -> 17 [size =\"17180672\"]\n  10 -> 18 [size =\"17180672\"]\n  11 [size=\"52234240\", alpha=\"0.02\", expect_size=\"15670272\"] \n  11 -> 15 [size =\"15670272\"]\n  11 -> 17 [size =\"15670272\"]\n  12 [size=\"17476267\", alpha=\"0.08\", expect_size=\"5242880\"] \n  12 -> 14 [size =\"5242880\"]\n  12 -> 15 [size =\"5242880\"]\n  12 -> 16 [size =\"5242880\"]\n  13 [size=\"147251200\", alpha=\"0.10\", expect_size=\"44175360\"] \n  13 -> 16 [size =\"44175360\"]\n  14 [size=\"109612373\", alpha=\"0.14\", expect_size=\"32883712\"] \n  15 [size=\"36604587\", alpha=\"0.18\", expect_size=\"10981376\"] \n  15 -> 21 [size =\"10981376\"]\n  15 -> 22 [size =\"10981376\"]\n  16 [size=\"170854400\", alpha=\"0.19\", expect_size=\"51256320\"] \n  16 -> 20 [size =\"51256320\"]\n  16 -> 21 [size =\"51256320\"]\n  17 [size=\"147172693\", alpha=\"0.15\", expect_size=\"44151808\"] \n  17 -> 20 [size =\"44151808\"]\n  17 -> 21 [size =\"44151808\"]\n  18 [size=\"22360747\", alpha=\"0.18\", expect_size=\"6708224\"] \n  18 -> 19 [size =\"6708224\"]\n  19 [size=\"146257920\", alpha=\"0.16\", expect_size=\"43877376\"] \n  19 -> 23 [size =\"43877376\"]\n  19 -> 26 [size =\"43877376\"]\n  20 [size=\"28586667\", alpha=\"0.15\", expect_size=\"8576000\"] \n  20 -> 23 [size =\"8576000\"]\n  21 [size=\"74134187\", alpha=\"0.09\", expect_size=\"22240256\"] \n  21 -> 24 [size =\"22240256\"]\n  21 -> 25 [size =\"22240256\"]\n  22 [size=\"85995520\", alpha=\"0.18\", expect_size=\"25798656\"] \n  22 -> 25 [size =\"25798656\"]\n  23 [size=\"150094507\", alpha=\"0.02\", expect_size=\"45028352\"] \n  23 -> 27 [size =\"45028352\"]\n  23 -> 29 [size =\"45028352\"]\n  23 -> 30 [size =\"45028352\"]\n  24 [size=\"70150827\", alpha=\"0.19\", expect_size=\"21045248\"] \n  24 -> 28 [size =\"21045248\"]\n  25 [size=\"20582400\", alpha=\"0.06\", expect_size=\"6174720\"] \n  25 -> 28 [size =\"6174720\"]\n  26 [size=\"163119787\", alpha=\"0.16\", expect_size=\"48935936\"] \n  26 -> 28 [size =\"48935936\"]\n  26 -> 30 [size =\"48935936\"]\n  27 [size=\"155900587\", alpha=\"0.06\", expect_size=\"46770176\"] \n  28 [size=\"117039787\", alpha=\"0.01\", expect_size=\"35111936\"] \n  29 [size=\"100372480\", alpha=\"0.06\", expect_size=\"30111744\"] \n  30 [size=\"66498560\", alpha=\"0.16\", expect_size=\"19949568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17207296\", alpha=\"0.09\", expect_size=\"8603648\"] \n  1 -> 16 [size =\"8603648\"]\n  1 -> 17 [size =\"8603648\"]\n  1 -> 18 [size =\"8603648\"]\n  1 -> 20 [size =\"8603648\"]\n  1 -> 22 [size =\"8603648\"]\n  1 -> 25 [size =\"8603648\"]\n  1 -> 26 [size =\"8603648\"]\n  1 -> 28 [size =\"8603648\"]\n  2 [size=\"103112704\", alpha=\"0.06\", expect_size=\"51556352\"] \n  2 -> 17 [size =\"51556352\"]\n  2 -> 18 [size =\"51556352\"]\n  2 -> 28 [size =\"51556352\"]\n  3 [size=\"95369216\", alpha=\"0.06\", expect_size=\"47684608\"] \n  3 -> 15 [size =\"47684608\"]\n  3 -> 16 [size =\"47684608\"]\n  3 -> 27 [size =\"47684608\"]\n  3 -> 28 [size =\"47684608\"]\n  4 [size=\"72689664\", alpha=\"0.18\", expect_size=\"36344832\"] \n  4 -> 16 [size =\"36344832\"]\n  4 -> 16 [size =\"36344832\"]\n  4 -> 18 [size =\"36344832\"]\n  4 -> 19 [size =\"36344832\"]\n  4 -> 25 [size =\"36344832\"]\n  4 -> 26 [size =\"36344832\"]\n  4 -> 27 [size =\"36344832\"]\n  4 -> 30 [size =\"36344832\"]\n  5 [size=\"64399360\", alpha=\"0.19\", expect_size=\"32199680\"] \n  5 -> 16 [size =\"32199680\"]\n  5 -> 25 [size =\"32199680\"]\n  5 -> 27 [size =\"32199680\"]\n  5 -> 28 [size =\"32199680\"]\n  5 -> 30 [size =\"32199680\"]\n  6 [size=\"31844352\", alpha=\"0.17\", expect_size=\"15922176\"] \n  6 -> 20 [size =\"15922176\"]\n  6 -> 25 [size =\"15922176\"]\n  6 -> 27 [size =\"15922176\"]\n  6 -> 28 [size =\"15922176\"]\n  6 -> 30 [size =\"15922176\"]\n  7 [size=\"45557760\", alpha=\"0.12\", expect_size=\"22778880\"] \n  7 -> 18 [size =\"22778880\"]\n  7 -> 21 [size =\"22778880\"]\n  7 -> 22 [size =\"22778880\"]\n  7 -> 25 [size =\"22778880\"]\n  7 -> 27 [size =\"22778880\"]\n  7 -> 28 [size =\"22778880\"]\n  8 [size=\"85676032\", alpha=\"0.18\", expect_size=\"42838016\"] \n  8 -> 19 [size =\"42838016\"]\n  8 -> 22 [size =\"42838016\"]\n  8 -> 23 [size =\"42838016\"]\n  8 -> 24 [size =\"42838016\"]\n  8 -> 25 [size =\"42838016\"]\n  8 -> 27 [size =\"42838016\"]\n  8 -> 28 [size =\"42838016\"]\n  9 [size=\"79015936\", alpha=\"0.08\", expect_size=\"39507968\"] \n  9 -> 16 [size =\"39507968\"]\n  9 -> 24 [size =\"39507968\"]\n  9 -> 27 [size =\"39507968\"]\n  9 -> 28 [size =\"39507968\"]\n  9 -> 29 [size =\"39507968\"]\n  9 -> 30 [size =\"39507968\"]\n  10 [size=\"36720640\", alpha=\"0.09\", expect_size=\"18360320\"] \n  10 -> 15 [size =\"18360320\"]\n  10 -> 16 [size =\"18360320\"]\n  10 -> 19 [size =\"18360320\"]\n  10 -> 22 [size =\"18360320\"]\n  10 -> 23 [size =\"18360320\"]\n  10 -> 25 [size =\"18360320\"]\n  10 -> 27 [size =\"18360320\"]\n  10 -> 28 [size =\"18360320\"]\n  11 [size=\"91195392\", alpha=\"0.16\", expect_size=\"45597696\"] \n  11 -> 15 [size =\"45597696\"]\n  11 -> 16 [size =\"45597696\"]\n  11 -> 18 [size =\"45597696\"]\n  11 -> 24 [size =\"45597696\"]\n  11 -> 26 [size =\"45597696\"]\n  11 -> 28 [size =\"45597696\"]\n  12 [size=\"40957952\", alpha=\"0.20\", expect_size=\"20478976\"] \n  12 -> 16 [size =\"20478976\"]\n  12 -> 22 [size =\"20478976\"]\n  12 -> 25 [size =\"20478976\"]\n  12 -> 27 [size =\"20478976\"]\n  13 [size=\"68128768\", alpha=\"0.09\", expect_size=\"34064384\"] \n  13 -> 21 [size =\"34064384\"]\n  13 -> 25 [size =\"34064384\"]\n  13 -> 28 [size =\"34064384\"]\n  14 [size=\"94136320\", alpha=\"0.01\", expect_size=\"47068160\"] \n  14 -> 21 [size =\"47068160\"]\n  14 -> 22 [size =\"47068160\"]\n  14 -> 25 [size =\"47068160\"]\n  15 [size=\"84135936\", alpha=\"0.05\", expect_size=\"42067968\"] \n  16 [size=\"81010688\", alpha=\"0.14\", expect_size=\"40505344\"] \n  17 [size=\"65028096\", alpha=\"0.03\", expect_size=\"32514048\"] \n  18 [size=\"29407232\", alpha=\"0.19\", expect_size=\"14703616\"] \n  19 [size=\"22005760\", alpha=\"0.11\", expect_size=\"11002880\"] \n  20 [size=\"61876224\", alpha=\"0.12\", expect_size=\"30938112\"] \n  21 [size=\"102168576\", alpha=\"0.14\", expect_size=\"51084288\"] \n  22 [size=\"83535872\", alpha=\"0.15\", expect_size=\"41767936\"] \n  23 [size=\"82962432\", alpha=\"0.15\", expect_size=\"41481216\"] \n  24 [size=\"30484480\", alpha=\"0.08\", expect_size=\"15242240\"] \n  25 [size=\"37431296\", alpha=\"0.12\", expect_size=\"18715648\"] \n  26 [size=\"61601792\", alpha=\"0.01\", expect_size=\"30800896\"] \n  27 [size=\"31555584\", alpha=\"0.17\", expect_size=\"15777792\"] \n  28 [size=\"45496320\", alpha=\"0.09\", expect_size=\"22748160\"] \n  29 [size=\"41863168\", alpha=\"0.16\", expect_size=\"20931584\"] \n  30 [size=\"95215616\", alpha=\"0.08\", expect_size=\"47607808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37337600\", alpha=\"0.08\", expect_size=\"14935040\"] \n  1 -> 21 [size =\"14935040\"]\n  1 -> 28 [size =\"14935040\"]\n  1 -> 29 [size =\"14935040\"]\n  1 -> 30 [size =\"14935040\"]\n  2 [size=\"122327040\", alpha=\"0.20\", expect_size=\"48930816\"] \n  2 -> 21 [size =\"48930816\"]\n  2 -> 24 [size =\"48930816\"]\n  2 -> 25 [size =\"48930816\"]\n  2 -> 26 [size =\"48930816\"]\n  2 -> 28 [size =\"48930816\"]\n  3 [size=\"59028480\", alpha=\"0.19\", expect_size=\"23611392\"] \n  3 -> 21 [size =\"23611392\"]\n  3 -> 22 [size =\"23611392\"]\n  3 -> 23 [size =\"23611392\"]\n  3 -> 25 [size =\"23611392\"]\n  3 -> 29 [size =\"23611392\"]\n  4 [size=\"39802880\", alpha=\"0.12\", expect_size=\"15921152\"] \n  4 -> 21 [size =\"15921152\"]\n  4 -> 29 [size =\"15921152\"]\n  5 [size=\"62784000\", alpha=\"0.02\", expect_size=\"25113600\"] \n  5 -> 21 [size =\"25113600\"]\n  5 -> 25 [size =\"25113600\"]\n  5 -> 26 [size =\"25113600\"]\n  5 -> 29 [size =\"25113600\"]\n  6 [size=\"99617280\", alpha=\"0.08\", expect_size=\"39846912\"] \n  6 -> 21 [size =\"39846912\"]\n  6 -> 25 [size =\"39846912\"]\n  6 -> 26 [size =\"39846912\"]\n  6 -> 28 [size =\"39846912\"]\n  6 -> 29 [size =\"39846912\"]\n  6 -> 30 [size =\"39846912\"]\n  7 [size=\"51729920\", alpha=\"0.15\", expect_size=\"20691968\"] \n  7 -> 26 [size =\"20691968\"]\n  7 -> 28 [size =\"20691968\"]\n  7 -> 29 [size =\"20691968\"]\n  7 -> 30 [size =\"20691968\"]\n  8 [size=\"65510400\", alpha=\"0.03\", expect_size=\"26204160\"] \n  8 -> 21 [size =\"26204160\"]\n  8 -> 26 [size =\"26204160\"]\n  8 -> 28 [size =\"26204160\"]\n  9 [size=\"21463040\", alpha=\"0.05\", expect_size=\"8585216\"] \n  9 -> 21 [size =\"8585216\"]\n  9 -> 23 [size =\"8585216\"]\n  9 -> 26 [size =\"8585216\"]\n  10 [size=\"58337280\", alpha=\"0.11\", expect_size=\"23334912\"] \n  10 -> 21 [size =\"23334912\"]\n  10 -> 26 [size =\"23334912\"]\n  10 -> 30 [size =\"23334912\"]\n  11 [size=\"108956160\", alpha=\"0.11\", expect_size=\"43582464\"] \n  11 -> 21 [size =\"43582464\"]\n  11 -> 25 [size =\"43582464\"]\n  11 -> 26 [size =\"43582464\"]\n  12 [size=\"40125440\", alpha=\"0.19\", expect_size=\"16050176\"] \n  12 -> 21 [size =\"16050176\"]\n  12 -> 23 [size =\"16050176\"]\n  12 -> 26 [size =\"16050176\"]\n  12 -> 30 [size =\"16050176\"]\n  13 [size=\"37368320\", alpha=\"0.19\", expect_size=\"14947328\"] \n  13 -> 21 [size =\"14947328\"]\n  13 -> 23 [size =\"14947328\"]\n  13 -> 25 [size =\"14947328\"]\n  13 -> 26 [size =\"14947328\"]\n  14 [size=\"33917440\", alpha=\"0.03\", expect_size=\"13566976\"] \n  14 -> 21 [size =\"13566976\"]\n  14 -> 26 [size =\"13566976\"]\n  15 [size=\"107169280\", alpha=\"0.00\", expect_size=\"42867712\"] \n  15 -> 25 [size =\"42867712\"]\n  15 -> 26 [size =\"42867712\"]\n  15 -> 28 [size =\"42867712\"]\n  16 [size=\"121804800\", alpha=\"0.19\", expect_size=\"48721920\"] \n  16 -> 21 [size =\"48721920\"]\n  16 -> 25 [size =\"48721920\"]\n  16 -> 29 [size =\"48721920\"]\n  17 [size=\"51530240\", alpha=\"0.07\", expect_size=\"20612096\"] \n  17 -> 21 [size =\"20612096\"]\n  17 -> 23 [size =\"20612096\"]\n  17 -> 25 [size =\"20612096\"]\n  17 -> 26 [size =\"20612096\"]\n  17 -> 29 [size =\"20612096\"]\n  18 [size=\"22471680\", alpha=\"0.10\", expect_size=\"8988672\"] \n  18 -> 21 [size =\"8988672\"]\n  18 -> 26 [size =\"8988672\"]\n  18 -> 29 [size =\"8988672\"]\n  19 [size=\"42124800\", alpha=\"0.13\", expect_size=\"16849920\"] \n  19 -> 26 [size =\"16849920\"]\n  20 [size=\"71989760\", alpha=\"0.01\", expect_size=\"28795904\"] \n  20 -> 24 [size =\"28795904\"]\n  20 -> 25 [size =\"28795904\"]\n  20 -> 26 [size =\"28795904\"]\n  20 -> 27 [size =\"28795904\"]\n  20 -> 28 [size =\"28795904\"]\n  20 -> 29 [size =\"28795904\"]\n  21 [size=\"18283520\", alpha=\"0.13\", expect_size=\"7313408\"] \n  22 [size=\"83624960\", alpha=\"0.03\", expect_size=\"33449984\"] \n  23 [size=\"80348160\", alpha=\"0.02\", expect_size=\"32139264\"] \n  24 [size=\"76037120\", alpha=\"0.04\", expect_size=\"30414848\"] \n  25 [size=\"94899200\", alpha=\"0.16\", expect_size=\"37959680\"] \n  26 [size=\"96803840\", alpha=\"0.02\", expect_size=\"38721536\"] \n  27 [size=\"88240640\", alpha=\"0.14\", expect_size=\"35296256\"] \n  28 [size=\"128755200\", alpha=\"0.16\", expect_size=\"51502080\"] \n  29 [size=\"71672320\", alpha=\"0.18\", expect_size=\"28668928\"] \n  30 [size=\"28464640\", alpha=\"0.09\", expect_size=\"11385856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112274773\", alpha=\"0.01\", expect_size=\"33682432\"] \n  2 [size=\"67464533\", alpha=\"0.13\", expect_size=\"20239360\"] \n  2 -> 5 [size =\"20239360\"]\n  2 -> 6 [size =\"20239360\"]\n  2 -> 7 [size =\"20239360\"]\n  3 [size=\"173561173\", alpha=\"0.08\", expect_size=\"52068352\"] \n  3 -> 8 [size =\"52068352\"]\n  4 [size=\"123054080\", alpha=\"0.08\", expect_size=\"36916224\"] \n  4 -> 6 [size =\"36916224\"]\n  4 -> 7 [size =\"36916224\"]\n  5 [size=\"134205440\", alpha=\"0.18\", expect_size=\"40261632\"] \n  5 -> 9 [size =\"40261632\"]\n  5 -> 12 [size =\"40261632\"]\n  5 -> 13 [size =\"40261632\"]\n  6 [size=\"28368213\", alpha=\"0.19\", expect_size=\"8510464\"] \n  6 -> 9 [size =\"8510464\"]\n  7 [size=\"165157547\", alpha=\"0.14\", expect_size=\"49547264\"] \n  7 -> 10 [size =\"49547264\"]\n  8 [size=\"33955840\", alpha=\"0.02\", expect_size=\"10186752\"] \n  8 -> 9 [size =\"10186752\"]\n  8 -> 11 [size =\"10186752\"]\n  8 -> 13 [size =\"10186752\"]\n  9 [size=\"64788480\", alpha=\"0.14\", expect_size=\"19436544\"] \n  10 [size=\"70502400\", alpha=\"0.12\", expect_size=\"21150720\"] \n  10 -> 16 [size =\"21150720\"]\n  11 [size=\"136393387\", alpha=\"0.19\", expect_size=\"40918016\"] \n  12 [size=\"143319040\", alpha=\"0.11\", expect_size=\"42995712\"] \n  12 -> 14 [size =\"42995712\"]\n  12 -> 16 [size =\"42995712\"]\n  13 [size=\"88142507\", alpha=\"0.03\", expect_size=\"26442752\"] \n  13 -> 15 [size =\"26442752\"]\n  14 [size=\"152634027\", alpha=\"0.18\", expect_size=\"45790208\"] \n  14 -> 17 [size =\"45790208\"]\n  14 -> 21 [size =\"45790208\"]\n  15 [size=\"54644053\", alpha=\"0.07\", expect_size=\"16393216\"] \n  15 -> 17 [size =\"16393216\"]\n  15 -> 21 [size =\"16393216\"]\n  16 [size=\"35973120\", alpha=\"0.04\", expect_size=\"10791936\"] \n  16 -> 18 [size =\"10791936\"]\n  16 -> 19 [size =\"10791936\"]\n  16 -> 20 [size =\"10791936\"]\n  17 [size=\"28798293\", alpha=\"0.16\", expect_size=\"8639488\"] \n  17 -> 26 [size =\"8639488\"]\n  17 -> 27 [size =\"8639488\"]\n  18 [size=\"135028053\", alpha=\"0.10\", expect_size=\"40508416\"] \n  18 -> 23 [size =\"40508416\"]\n  19 [size=\"150323200\", alpha=\"0.10\", expect_size=\"45096960\"] \n  19 -> 22 [size =\"45096960\"]\n  19 -> 23 [size =\"45096960\"]\n  20 [size=\"103314773\", alpha=\"0.02\", expect_size=\"30994432\"] \n  20 -> 24 [size =\"30994432\"]\n  20 -> 25 [size =\"30994432\"]\n  21 [size=\"37345280\", alpha=\"0.05\", expect_size=\"11203584\"] \n  21 -> 24 [size =\"11203584\"]\n  21 -> 25 [size =\"11203584\"]\n  21 -> 27 [size =\"11203584\"]\n  22 [size=\"33010347\", alpha=\"0.14\", expect_size=\"9903104\"] \n  22 -> 28 [size =\"9903104\"]\n  22 -> 29 [size =\"9903104\"]\n  23 [size=\"116872533\", alpha=\"0.03\", expect_size=\"35061760\"] \n  24 [size=\"141991253\", alpha=\"0.06\", expect_size=\"42597376\"] \n  25 [size=\"128795307\", alpha=\"0.04\", expect_size=\"38638592\"] \n  25 -> 28 [size =\"38638592\"]\n  26 [size=\"28129280\", alpha=\"0.02\", expect_size=\"8438784\"] \n  26 -> 30 [size =\"8438784\"]\n  27 [size=\"56203947\", alpha=\"0.00\", expect_size=\"16861184\"] \n  28 [size=\"27521707\", alpha=\"0.00\", expect_size=\"8256512\"] \n  29 [size=\"109199360\", alpha=\"0.06\", expect_size=\"32759808\"] \n  30 [size=\"34402987\", alpha=\"0.18\", expect_size=\"10320896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33438720\", alpha=\"0.17\", expect_size=\"13375488\"] \n  1 -> 16 [size =\"13375488\"]\n  1 -> 18 [size =\"13375488\"]\n  1 -> 27 [size =\"13375488\"]\n  1 -> 30 [size =\"13375488\"]\n  2 [size=\"121405440\", alpha=\"0.07\", expect_size=\"48562176\"] \n  2 -> 20 [size =\"48562176\"]\n  2 -> 27 [size =\"48562176\"]\n  2 -> 28 [size =\"48562176\"]\n  3 [size=\"72578560\", alpha=\"0.06\", expect_size=\"29031424\"] \n  3 -> 20 [size =\"29031424\"]\n  3 -> 21 [size =\"29031424\"]\n  3 -> 26 [size =\"29031424\"]\n  3 -> 27 [size =\"29031424\"]\n  4 [size=\"128148480\", alpha=\"0.20\", expect_size=\"51259392\"] \n  4 -> 16 [size =\"51259392\"]\n  4 -> 20 [size =\"51259392\"]\n  4 -> 23 [size =\"51259392\"]\n  5 [size=\"18419200\", alpha=\"0.16\", expect_size=\"7367680\"] \n  5 -> 16 [size =\"7367680\"]\n  5 -> 18 [size =\"7367680\"]\n  5 -> 23 [size =\"7367680\"]\n  5 -> 24 [size =\"7367680\"]\n  5 -> 27 [size =\"7367680\"]\n  5 -> 28 [size =\"7367680\"]\n  6 [size=\"41804800\", alpha=\"0.03\", expect_size=\"16721920\"] \n  6 -> 16 [size =\"16721920\"]\n  6 -> 17 [size =\"16721920\"]\n  6 -> 18 [size =\"16721920\"]\n  6 -> 22 [size =\"16721920\"]\n  6 -> 24 [size =\"16721920\"]\n  6 -> 26 [size =\"16721920\"]\n  6 -> 28 [size =\"16721920\"]\n  6 -> 29 [size =\"16721920\"]\n  7 [size=\"13363200\", alpha=\"0.10\", expect_size=\"5345280\"] \n  7 -> 16 [size =\"5345280\"]\n  7 -> 17 [size =\"5345280\"]\n  7 -> 18 [size =\"5345280\"]\n  7 -> 19 [size =\"5345280\"]\n  7 -> 21 [size =\"5345280\"]\n  7 -> 22 [size =\"5345280\"]\n  7 -> 24 [size =\"5345280\"]\n  8 [size=\"74639360\", alpha=\"0.07\", expect_size=\"29855744\"] \n  8 -> 16 [size =\"29855744\"]\n  8 -> 19 [size =\"29855744\"]\n  8 -> 24 [size =\"29855744\"]\n  9 [size=\"27796480\", alpha=\"0.12\", expect_size=\"11118592\"] \n  9 -> 16 [size =\"11118592\"]\n  9 -> 17 [size =\"11118592\"]\n  9 -> 18 [size =\"11118592\"]\n  9 -> 20 [size =\"11118592\"]\n  9 -> 22 [size =\"11118592\"]\n  9 -> 24 [size =\"11118592\"]\n  9 -> 25 [size =\"11118592\"]\n  9 -> 26 [size =\"11118592\"]\n  10 [size=\"116907520\", alpha=\"0.16\", expect_size=\"46763008\"] \n  10 -> 18 [size =\"46763008\"]\n  10 -> 19 [size =\"46763008\"]\n  10 -> 20 [size =\"46763008\"]\n  10 -> 22 [size =\"46763008\"]\n  10 -> 26 [size =\"46763008\"]\n  10 -> 27 [size =\"46763008\"]\n  10 -> 29 [size =\"46763008\"]\n  11 [size=\"104860160\", alpha=\"0.16\", expect_size=\"41944064\"] \n  11 -> 19 [size =\"41944064\"]\n  11 -> 19 [size =\"41944064\"]\n  11 -> 21 [size =\"41944064\"]\n  11 -> 27 [size =\"41944064\"]\n  11 -> 28 [size =\"41944064\"]\n  11 -> 29 [size =\"41944064\"]\n  12 [size=\"84705280\", alpha=\"0.04\", expect_size=\"33882112\"] \n  12 -> 23 [size =\"33882112\"]\n  12 -> 26 [size =\"33882112\"]\n  13 [size=\"128368640\", alpha=\"0.07\", expect_size=\"51347456\"] \n  13 -> 19 [size =\"51347456\"]\n  13 -> 20 [size =\"51347456\"]\n  13 -> 26 [size =\"51347456\"]\n  14 [size=\"44057600\", alpha=\"0.05\", expect_size=\"17623040\"] \n  14 -> 19 [size =\"17623040\"]\n  14 -> 26 [size =\"17623040\"]\n  14 -> 27 [size =\"17623040\"]\n  15 [size=\"42485760\", alpha=\"0.07\", expect_size=\"16994304\"] \n  15 -> 17 [size =\"16994304\"]\n  15 -> 26 [size =\"16994304\"]\n  15 -> 27 [size =\"16994304\"]\n  16 [size=\"20930560\", alpha=\"0.03\", expect_size=\"8372224\"] \n  17 [size=\"37363200\", alpha=\"0.04\", expect_size=\"14945280\"] \n  18 [size=\"97597440\", alpha=\"0.19\", expect_size=\"39038976\"] \n  19 [size=\"22059520\", alpha=\"0.19\", expect_size=\"8823808\"] \n  20 [size=\"90903040\", alpha=\"0.04\", expect_size=\"36361216\"] \n  21 [size=\"67407360\", alpha=\"0.12\", expect_size=\"26962944\"] \n  22 [size=\"45227520\", alpha=\"0.19\", expect_size=\"18091008\"] \n  23 [size=\"71170560\", alpha=\"0.15\", expect_size=\"28468224\"] \n  24 [size=\"110446080\", alpha=\"0.12\", expect_size=\"44178432\"] \n  25 [size=\"22901760\", alpha=\"0.09\", expect_size=\"9160704\"] \n  26 [size=\"64307200\", alpha=\"0.11\", expect_size=\"25722880\"] \n  27 [size=\"82334720\", alpha=\"0.13\", expect_size=\"32933888\"] \n  28 [size=\"107752960\", alpha=\"0.05\", expect_size=\"43101184\"] \n  29 [size=\"104727040\", alpha=\"0.20\", expect_size=\"41890816\"] \n  30 [size=\"99112960\", alpha=\"0.12\", expect_size=\"39645184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40813227\", alpha=\"0.17\", expect_size=\"12243968\"] \n  1 -> 14 [size =\"12243968\"]\n  1 -> 14 [size =\"12243968\"]\n  1 -> 15 [size =\"12243968\"]\n  2 [size=\"37328213\", alpha=\"0.02\", expect_size=\"11198464\"] \n  2 -> 15 [size =\"11198464\"]\n  2 -> 17 [size =\"11198464\"]\n  3 [size=\"61146453\", alpha=\"0.06\", expect_size=\"18343936\"] \n  3 -> 16 [size =\"18343936\"]\n  3 -> 17 [size =\"18343936\"]\n  4 [size=\"52350293\", alpha=\"0.10\", expect_size=\"15705088\"] \n  4 -> 14 [size =\"15705088\"]\n  4 -> 16 [size =\"15705088\"]\n  4 -> 17 [size =\"15705088\"]\n  4 -> 19 [size =\"15705088\"]\n  5 [size=\"18292053\", alpha=\"0.05\", expect_size=\"5487616\"] \n  6 [size=\"124354560\", alpha=\"0.13\", expect_size=\"37306368\"] \n  6 -> 14 [size =\"37306368\"]\n  6 -> 16 [size =\"37306368\"]\n  6 -> 17 [size =\"37306368\"]\n  7 [size=\"42721280\", alpha=\"0.15\", expect_size=\"12816384\"] \n  7 -> 15 [size =\"12816384\"]\n  7 -> 17 [size =\"12816384\"]\n  7 -> 18 [size =\"12816384\"]\n  8 [size=\"128392533\", alpha=\"0.01\", expect_size=\"38517760\"] \n  8 -> 15 [size =\"38517760\"]\n  8 -> 19 [size =\"38517760\"]\n  9 [size=\"151715840\", alpha=\"0.20\", expect_size=\"45514752\"] \n  9 -> 13 [size =\"45514752\"]\n  9 -> 19 [size =\"45514752\"]\n  10 [size=\"88702293\", alpha=\"0.04\", expect_size=\"26610688\"] \n  10 -> 16 [size =\"26610688\"]\n  10 -> 19 [size =\"26610688\"]\n  10 -> 20 [size =\"26610688\"]\n  11 [size=\"53135360\", alpha=\"0.18\", expect_size=\"15940608\"] \n  11 -> 13 [size =\"15940608\"]\n  11 -> 15 [size =\"15940608\"]\n  11 -> 19 [size =\"15940608\"]\n  12 [size=\"30371840\", alpha=\"0.17\", expect_size=\"9111552\"] \n  12 -> 13 [size =\"9111552\"]\n  12 -> 14 [size =\"9111552\"]\n  12 -> 15 [size =\"9111552\"]\n  12 -> 16 [size =\"9111552\"]\n  12 -> 17 [size =\"9111552\"]\n  12 -> 19 [size =\"9111552\"]\n  12 -> 20 [size =\"9111552\"]\n  13 [size=\"47677440\", alpha=\"0.13\", expect_size=\"14303232\"] \n  13 -> 22 [size =\"14303232\"]\n  13 -> 24 [size =\"14303232\"]\n  13 -> 30 [size =\"14303232\"]\n  14 [size=\"93784747\", alpha=\"0.05\", expect_size=\"28135424\"] \n  14 -> 21 [size =\"28135424\"]\n  14 -> 24 [size =\"28135424\"]\n  15 [size=\"18520747\", alpha=\"0.09\", expect_size=\"5556224\"] \n  15 -> 22 [size =\"5556224\"]\n  15 -> 25 [size =\"5556224\"]\n  16 [size=\"60057600\", alpha=\"0.08\", expect_size=\"18017280\"] \n  16 -> 29 [size =\"18017280\"]\n  17 [size=\"160416427\", alpha=\"0.06\", expect_size=\"48124928\"] \n  17 -> 23 [size =\"48124928\"]\n  17 -> 24 [size =\"48124928\"]\n  17 -> 26 [size =\"48124928\"]\n  17 -> 27 [size =\"48124928\"]\n  18 [size=\"121695573\", alpha=\"0.12\", expect_size=\"36508672\"] \n  18 -> 22 [size =\"36508672\"]\n  18 -> 23 [size =\"36508672\"]\n  18 -> 26 [size =\"36508672\"]\n  18 -> 27 [size =\"36508672\"]\n  18 -> 30 [size =\"36508672\"]\n  19 [size=\"126825813\", alpha=\"0.07\", expect_size=\"38047744\"] \n  19 -> 22 [size =\"38047744\"]\n  19 -> 23 [size =\"38047744\"]\n  19 -> 24 [size =\"38047744\"]\n  19 -> 25 [size =\"38047744\"]\n  20 [size=\"125969067\", alpha=\"0.01\", expect_size=\"37790720\"] \n  20 -> 23 [size =\"37790720\"]\n  20 -> 26 [size =\"37790720\"]\n  20 -> 27 [size =\"37790720\"]\n  20 -> 28 [size =\"37790720\"]\n  20 -> 30 [size =\"37790720\"]\n  21 [size=\"160058027\", alpha=\"0.18\", expect_size=\"48017408\"] \n  22 [size=\"146189653\", alpha=\"0.17\", expect_size=\"43856896\"] \n  23 [size=\"125672107\", alpha=\"0.02\", expect_size=\"37701632\"] \n  24 [size=\"73898667\", alpha=\"0.12\", expect_size=\"22169600\"] \n  25 [size=\"114411520\", alpha=\"0.01\", expect_size=\"34323456\"] \n  26 [size=\"25378133\", alpha=\"0.04\", expect_size=\"7613440\"] \n  27 [size=\"87012693\", alpha=\"0.10\", expect_size=\"26103808\"] \n  28 [size=\"134505813\", alpha=\"0.10\", expect_size=\"40351744\"] \n  29 [size=\"73584640\", alpha=\"0.08\", expect_size=\"22075392\"] \n  30 [size=\"132082347\", alpha=\"0.14\", expect_size=\"39624704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80471040\", alpha=\"0.17\", expect_size=\"32188416\"] \n  1 -> 11 [size =\"32188416\"]\n  1 -> 12 [size =\"32188416\"]\n  1 -> 17 [size =\"32188416\"]\n  2 [size=\"78822400\", alpha=\"0.09\", expect_size=\"31528960\"] \n  2 -> 11 [size =\"31528960\"]\n  2 -> 12 [size =\"31528960\"]\n  2 -> 17 [size =\"31528960\"]\n  3 [size=\"52172800\", alpha=\"0.11\", expect_size=\"20869120\"] \n  3 -> 12 [size =\"20869120\"]\n  3 -> 14 [size =\"20869120\"]\n  3 -> 16 [size =\"20869120\"]\n  4 [size=\"37076480\", alpha=\"0.09\", expect_size=\"14830592\"] \n  4 -> 12 [size =\"14830592\"]\n  4 -> 13 [size =\"14830592\"]\n  4 -> 14 [size =\"14830592\"]\n  4 -> 15 [size =\"14830592\"]\n  5 [size=\"78553600\", alpha=\"0.12\", expect_size=\"31421440\"] \n  5 -> 11 [size =\"31421440\"]\n  5 -> 13 [size =\"31421440\"]\n  5 -> 14 [size =\"31421440\"]\n  5 -> 15 [size =\"31421440\"]\n  5 -> 16 [size =\"31421440\"]\n  6 [size=\"48460800\", alpha=\"0.06\", expect_size=\"19384320\"] \n  6 -> 11 [size =\"19384320\"]\n  6 -> 12 [size =\"19384320\"]\n  6 -> 13 [size =\"19384320\"]\n  6 -> 15 [size =\"19384320\"]\n  7 [size=\"111861760\", alpha=\"0.14\", expect_size=\"44744704\"] \n  7 -> 11 [size =\"44744704\"]\n  7 -> 12 [size =\"44744704\"]\n  7 -> 15 [size =\"44744704\"]\n  7 -> 17 [size =\"44744704\"]\n  8 [size=\"106867200\", alpha=\"0.16\", expect_size=\"42746880\"] \n  8 -> 12 [size =\"42746880\"]\n  8 -> 13 [size =\"42746880\"]\n  8 -> 15 [size =\"42746880\"]\n  8 -> 17 [size =\"42746880\"]\n  9 [size=\"128081920\", alpha=\"0.14\", expect_size=\"51232768\"] \n  9 -> 14 [size =\"51232768\"]\n  9 -> 15 [size =\"51232768\"]\n  9 -> 15 [size =\"51232768\"]\n  9 -> 17 [size =\"51232768\"]\n  10 [size=\"87285760\", alpha=\"0.12\", expect_size=\"34914304\"] \n  10 -> 11 [size =\"34914304\"]\n  10 -> 17 [size =\"34914304\"]\n  11 [size=\"122160640\", alpha=\"0.08\", expect_size=\"48864256\"] \n  11 -> 19 [size =\"48864256\"]\n  11 -> 21 [size =\"48864256\"]\n  11 -> 21 [size =\"48864256\"]\n  11 -> 24 [size =\"48864256\"]\n  11 -> 26 [size =\"48864256\"]\n  11 -> 29 [size =\"48864256\"]\n  12 [size=\"105264640\", alpha=\"0.03\", expect_size=\"42105856\"] \n  12 -> 21 [size =\"42105856\"]\n  12 -> 22 [size =\"42105856\"]\n  12 -> 24 [size =\"42105856\"]\n  12 -> 24 [size =\"42105856\"]\n  12 -> 28 [size =\"42105856\"]\n  13 [size=\"41249280\", alpha=\"0.06\", expect_size=\"16499712\"] \n  13 -> 19 [size =\"16499712\"]\n  13 -> 27 [size =\"16499712\"]\n  13 -> 28 [size =\"16499712\"]\n  14 [size=\"104583680\", alpha=\"0.06\", expect_size=\"41833472\"] \n  14 -> 20 [size =\"41833472\"]\n  14 -> 28 [size =\"41833472\"]\n  15 [size=\"38484480\", alpha=\"0.02\", expect_size=\"15393792\"] \n  15 -> 24 [size =\"15393792\"]\n  15 -> 25 [size =\"15393792\"]\n  15 -> 27 [size =\"15393792\"]\n  15 -> 28 [size =\"15393792\"]\n  16 [size=\"107435520\", alpha=\"0.08\", expect_size=\"42974208\"] \n  16 -> 19 [size =\"42974208\"]\n  16 -> 24 [size =\"42974208\"]\n  16 -> 29 [size =\"42974208\"]\n  17 [size=\"23854080\", alpha=\"0.19\", expect_size=\"9541632\"] \n  17 -> 18 [size =\"9541632\"]\n  17 -> 19 [size =\"9541632\"]\n  17 -> 21 [size =\"9541632\"]\n  17 -> 23 [size =\"9541632\"]\n  17 -> 26 [size =\"9541632\"]\n  17 -> 29 [size =\"9541632\"]\n  18 [size=\"105451520\", alpha=\"0.09\", expect_size=\"42180608\"] \n  19 [size=\"79203840\", alpha=\"0.02\", expect_size=\"31681536\"] \n  20 [size=\"46737920\", alpha=\"0.16\", expect_size=\"18695168\"] \n  21 [size=\"118937600\", alpha=\"0.02\", expect_size=\"47575040\"] \n  22 [size=\"50365440\", alpha=\"0.19\", expect_size=\"20146176\"] \n  23 [size=\"68211200\", alpha=\"0.02\", expect_size=\"27284480\"] \n  23 -> 30 [size =\"27284480\"]\n  24 [size=\"101480960\", alpha=\"0.10\", expect_size=\"40592384\"] \n  25 [size=\"19274240\", alpha=\"0.08\", expect_size=\"7709696\"] \n  26 [size=\"32865280\", alpha=\"0.13\", expect_size=\"13146112\"] \n  27 [size=\"82534400\", alpha=\"0.14\", expect_size=\"33013760\"] \n  28 [size=\"75968000\", alpha=\"0.12\", expect_size=\"30387200\"] \n  29 [size=\"126533120\", alpha=\"0.08\", expect_size=\"50613248\"] \n  30 [size=\"19046400\", alpha=\"0.18\", expect_size=\"7618560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70778880\", alpha=\"0.09\", expect_size=\"28311552\"] \n  1 -> 29 [size =\"28311552\"]\n  2 [size=\"41879040\", alpha=\"0.13\", expect_size=\"16751616\"] \n  2 -> 23 [size =\"16751616\"]\n  2 -> 28 [size =\"16751616\"]\n  2 -> 30 [size =\"16751616\"]\n  3 [size=\"112010240\", alpha=\"0.07\", expect_size=\"44804096\"] \n  4 [size=\"66007040\", alpha=\"0.06\", expect_size=\"26402816\"] \n  4 -> 26 [size =\"26402816\"]\n  4 -> 27 [size =\"26402816\"]\n  5 [size=\"130736640\", alpha=\"0.18\", expect_size=\"52294656\"] \n  5 -> 30 [size =\"52294656\"]\n  6 [size=\"111275520\", alpha=\"0.02\", expect_size=\"44510208\"] \n  6 -> 24 [size =\"44510208\"]\n  7 [size=\"65093120\", alpha=\"0.05\", expect_size=\"26037248\"] \n  7 -> 25 [size =\"26037248\"]\n  7 -> 30 [size =\"26037248\"]\n  8 [size=\"43069440\", alpha=\"0.15\", expect_size=\"17227776\"] \n  8 -> 27 [size =\"17227776\"]\n  8 -> 28 [size =\"17227776\"]\n  8 -> 30 [size =\"17227776\"]\n  9 [size=\"59156480\", alpha=\"0.13\", expect_size=\"23662592\"] \n  9 -> 24 [size =\"23662592\"]\n  10 [size=\"104186880\", alpha=\"0.10\", expect_size=\"41674752\"] \n  10 -> 23 [size =\"41674752\"]\n  10 -> 27 [size =\"41674752\"]\n  11 [size=\"30883840\", alpha=\"0.09\", expect_size=\"12353536\"] \n  11 -> 30 [size =\"12353536\"]\n  12 [size=\"82324480\", alpha=\"0.11\", expect_size=\"32929792\"] \n  12 -> 24 [size =\"32929792\"]\n  12 -> 29 [size =\"32929792\"]\n  13 [size=\"40273920\", alpha=\"0.13\", expect_size=\"16109568\"] \n  13 -> 24 [size =\"16109568\"]\n  13 -> 27 [size =\"16109568\"]\n  14 [size=\"81082880\", alpha=\"0.20\", expect_size=\"32433152\"] \n  14 -> 23 [size =\"32433152\"]\n  14 -> 29 [size =\"32433152\"]\n  15 [size=\"116689920\", alpha=\"0.07\", expect_size=\"46675968\"] \n  15 -> 23 [size =\"46675968\"]\n  15 -> 27 [size =\"46675968\"]\n  15 -> 28 [size =\"46675968\"]\n  16 [size=\"106339840\", alpha=\"0.06\", expect_size=\"42535936\"] \n  16 -> 27 [size =\"42535936\"]\n  17 [size=\"120092160\", alpha=\"0.14\", expect_size=\"48036864\"] \n  17 -> 27 [size =\"48036864\"]\n  17 -> 30 [size =\"48036864\"]\n  18 [size=\"29821440\", alpha=\"0.17\", expect_size=\"11928576\"] \n  18 -> 28 [size =\"11928576\"]\n  18 -> 30 [size =\"11928576\"]\n  19 [size=\"117573120\", alpha=\"0.20\", expect_size=\"47029248\"] \n  19 -> 29 [size =\"47029248\"]\n  20 [size=\"76080640\", alpha=\"0.18\", expect_size=\"30432256\"] \n  20 -> 23 [size =\"30432256\"]\n  20 -> 27 [size =\"30432256\"]\n  20 -> 28 [size =\"30432256\"]\n  20 -> 30 [size =\"30432256\"]\n  21 [size=\"19084800\", alpha=\"0.07\", expect_size=\"7633920\"] \n  21 -> 27 [size =\"7633920\"]\n  21 -> 27 [size =\"7633920\"]\n  22 [size=\"72145920\", alpha=\"0.00\", expect_size=\"28858368\"] \n  23 [size=\"16117760\", alpha=\"0.11\", expect_size=\"6447104\"] \n  24 [size=\"92485120\", alpha=\"0.10\", expect_size=\"36994048\"] \n  25 [size=\"90306560\", alpha=\"0.09\", expect_size=\"36122624\"] \n  26 [size=\"129697280\", alpha=\"0.05\", expect_size=\"51878912\"] \n  27 [size=\"46766080\", alpha=\"0.09\", expect_size=\"18706432\"] \n  28 [size=\"127846400\", alpha=\"0.19\", expect_size=\"51138560\"] \n  29 [size=\"107389440\", alpha=\"0.16\", expect_size=\"42955776\"] \n  30 [size=\"105141760\", alpha=\"0.09\", expect_size=\"42056704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24113152\", alpha=\"0.02\", expect_size=\"12056576\"] \n  1 -> 3 [size =\"12056576\"]\n  1 -> 4 [size =\"12056576\"]\n  2 [size=\"30089216\", alpha=\"0.11\", expect_size=\"15044608\"] \n  2 -> 3 [size =\"15044608\"]\n  2 -> 4 [size =\"15044608\"]\n  3 [size=\"89757696\", alpha=\"0.04\", expect_size=\"44878848\"] \n  3 -> 5 [size =\"44878848\"]\n  3 -> 6 [size =\"44878848\"]\n  4 [size=\"50774016\", alpha=\"0.15\", expect_size=\"25387008\"] \n  4 -> 5 [size =\"25387008\"]\n  5 [size=\"57853952\", alpha=\"0.19\", expect_size=\"28926976\"] \n  5 -> 7 [size =\"28926976\"]\n  6 [size=\"38924288\", alpha=\"0.18\", expect_size=\"19462144\"] \n  6 -> 7 [size =\"19462144\"]\n  7 [size=\"66672640\", alpha=\"0.03\", expect_size=\"33336320\"] \n  7 -> 8 [size =\"33336320\"]\n  8 [size=\"79828992\", alpha=\"0.13\", expect_size=\"39914496\"] \n  8 -> 9 [size =\"39914496\"]\n  9 [size=\"58554368\", alpha=\"0.00\", expect_size=\"29277184\"] \n  9 -> 10 [size =\"29277184\"]\n  9 -> 11 [size =\"29277184\"]\n  10 [size=\"91834368\", alpha=\"0.12\", expect_size=\"45917184\"] \n  11 [size=\"44859392\", alpha=\"0.12\", expect_size=\"22429696\"] \n  11 -> 12 [size =\"22429696\"]\n  12 [size=\"54482944\", alpha=\"0.18\", expect_size=\"27241472\"] \n  12 -> 13 [size =\"27241472\"]\n  12 -> 14 [size =\"27241472\"]\n  13 [size=\"11919360\", alpha=\"0.06\", expect_size=\"5959680\"] \n  13 -> 15 [size =\"5959680\"]\n  14 [size=\"28452864\", alpha=\"0.08\", expect_size=\"14226432\"] \n  14 -> 15 [size =\"14226432\"]\n  15 [size=\"101031936\", alpha=\"0.16\", expect_size=\"50515968\"] \n  15 -> 16 [size =\"50515968\"]\n  16 [size=\"96706560\", alpha=\"0.09\", expect_size=\"48353280\"] \n  16 -> 17 [size =\"48353280\"]\n  17 [size=\"87539712\", alpha=\"0.09\", expect_size=\"43769856\"] \n  17 -> 18 [size =\"43769856\"]\n  18 [size=\"103976960\", alpha=\"0.17\", expect_size=\"51988480\"] \n  18 -> 19 [size =\"51988480\"]\n  19 [size=\"71266304\", alpha=\"0.11\", expect_size=\"35633152\"] \n  19 -> 20 [size =\"35633152\"]\n  20 [size=\"72468480\", alpha=\"0.04\", expect_size=\"36234240\"] \n  20 -> 21 [size =\"36234240\"]\n  20 -> 22 [size =\"36234240\"]\n  21 [size=\"34392064\", alpha=\"0.20\", expect_size=\"17196032\"] \n  22 [size=\"90163200\", alpha=\"0.19\", expect_size=\"45081600\"] \n  22 -> 23 [size =\"45081600\"]\n  23 [size=\"80623616\", alpha=\"0.16\", expect_size=\"40311808\"] \n  23 -> 24 [size =\"40311808\"]\n  24 [size=\"14254080\", alpha=\"0.01\", expect_size=\"7127040\"] \n  24 -> 25 [size =\"7127040\"]\n  25 [size=\"51941376\", alpha=\"0.16\", expect_size=\"25970688\"] \n  25 -> 26 [size =\"25970688\"]\n  25 -> 27 [size =\"25970688\"]\n  26 [size=\"33677312\", alpha=\"0.17\", expect_size=\"16838656\"] \n  26 -> 28 [size =\"16838656\"]\n  27 [size=\"75933696\", alpha=\"0.10\", expect_size=\"37966848\"] \n  27 -> 28 [size =\"37966848\"]\n  27 -> 29 [size =\"37966848\"]\n  28 [size=\"24496128\", alpha=\"0.18\", expect_size=\"12248064\"] \n  28 -> 30 [size =\"12248064\"]\n  29 [size=\"12136448\", alpha=\"0.16\", expect_size=\"6068224\"] \n  29 -> 30 [size =\"6068224\"]\n  30 [size=\"65062912\", alpha=\"0.11\", expect_size=\"32531456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62796800\", alpha=\"0.02\", expect_size=\"25118720\"] \n  1 -> 2 [size =\"25118720\"]\n  2 [size=\"86694400\", alpha=\"0.15\", expect_size=\"34677760\"] \n  2 -> 3 [size =\"34677760\"]\n  3 [size=\"102131200\", alpha=\"0.12\", expect_size=\"40852480\"] \n  3 -> 4 [size =\"40852480\"]\n  4 [size=\"50782720\", alpha=\"0.19\", expect_size=\"20313088\"] \n  4 -> 5 [size =\"20313088\"]\n  5 [size=\"121699840\", alpha=\"0.20\", expect_size=\"48679936\"] \n  5 -> 6 [size =\"48679936\"]\n  6 [size=\"118120960\", alpha=\"0.03\", expect_size=\"47248384\"] \n  6 -> 7 [size =\"47248384\"]\n  7 [size=\"46932480\", alpha=\"0.18\", expect_size=\"18772992\"] \n  7 -> 8 [size =\"18772992\"]\n  8 [size=\"75100160\", alpha=\"0.09\", expect_size=\"30040064\"] \n  8 -> 9 [size =\"30040064\"]\n  9 [size=\"45457920\", alpha=\"0.03\", expect_size=\"18183168\"] \n  9 -> 10 [size =\"18183168\"]\n  10 [size=\"73958400\", alpha=\"0.03\", expect_size=\"29583360\"] \n  10 -> 11 [size =\"29583360\"]\n  11 [size=\"78904320\", alpha=\"0.10\", expect_size=\"31561728\"] \n  11 -> 12 [size =\"31561728\"]\n  12 [size=\"87820800\", alpha=\"0.01\", expect_size=\"35128320\"] \n  12 -> 13 [size =\"35128320\"]\n  13 [size=\"58452480\", alpha=\"0.13\", expect_size=\"23380992\"] \n  13 -> 14 [size =\"23380992\"]\n  14 [size=\"126709760\", alpha=\"0.04\", expect_size=\"50683904\"] \n  14 -> 15 [size =\"50683904\"]\n  15 [size=\"122839040\", alpha=\"0.13\", expect_size=\"49135616\"] \n  15 -> 16 [size =\"49135616\"]\n  16 [size=\"120696320\", alpha=\"0.17\", expect_size=\"48278528\"] \n  16 -> 17 [size =\"48278528\"]\n  17 [size=\"17771520\", alpha=\"0.16\", expect_size=\"7108608\"] \n  17 -> 18 [size =\"7108608\"]\n  18 [size=\"123921920\", alpha=\"0.07\", expect_size=\"49568768\"] \n  18 -> 19 [size =\"49568768\"]\n  19 [size=\"59755520\", alpha=\"0.19\", expect_size=\"23902208\"] \n  19 -> 20 [size =\"23902208\"]\n  20 [size=\"75025920\", alpha=\"0.11\", expect_size=\"30010368\"] \n  20 -> 21 [size =\"30010368\"]\n  21 [size=\"94213120\", alpha=\"0.10\", expect_size=\"37685248\"] \n  21 -> 22 [size =\"37685248\"]\n  22 [size=\"35322880\", alpha=\"0.03\", expect_size=\"14129152\"] \n  22 -> 23 [size =\"14129152\"]\n  23 [size=\"41902080\", alpha=\"0.10\", expect_size=\"16760832\"] \n  23 -> 24 [size =\"16760832\"]\n  24 [size=\"116718080\", alpha=\"0.04\", expect_size=\"46687232\"] \n  24 -> 25 [size =\"46687232\"]\n  25 [size=\"19819520\", alpha=\"0.16\", expect_size=\"7927808\"] \n  25 -> 26 [size =\"7927808\"]\n  26 [size=\"98652160\", alpha=\"0.06\", expect_size=\"39460864\"] \n  26 -> 27 [size =\"39460864\"]\n  27 [size=\"81661440\", alpha=\"0.02\", expect_size=\"32664576\"] \n  27 -> 28 [size =\"32664576\"]\n  28 [size=\"56670720\", alpha=\"0.08\", expect_size=\"22668288\"] \n  28 -> 29 [size =\"22668288\"]\n  29 [size=\"96545280\", alpha=\"0.20\", expect_size=\"38618112\"] \n  29 -> 30 [size =\"38618112\"]\n  30 [size=\"91578880\", alpha=\"0.02\", expect_size=\"36631552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31129600\", alpha=\"0.10\", expect_size=\"12451840\"] \n  1 -> 2 [size =\"12451840\"]\n  2 [size=\"67376640\", alpha=\"0.11\", expect_size=\"26950656\"] \n  2 -> 3 [size =\"26950656\"]\n  3 [size=\"16857600\", alpha=\"0.20\", expect_size=\"6743040\"] \n  3 -> 4 [size =\"6743040\"]\n  4 [size=\"96448000\", alpha=\"0.18\", expect_size=\"38579200\"] \n  4 -> 5 [size =\"38579200\"]\n  5 [size=\"87449600\", alpha=\"0.00\", expect_size=\"34979840\"] \n  5 -> 6 [size =\"34979840\"]\n  6 [size=\"22727680\", alpha=\"0.10\", expect_size=\"9091072\"] \n  6 -> 7 [size =\"9091072\"]\n  7 [size=\"13665280\", alpha=\"0.02\", expect_size=\"5466112\"] \n  7 -> 8 [size =\"5466112\"]\n  8 [size=\"58631680\", alpha=\"0.01\", expect_size=\"23452672\"] \n  8 -> 9 [size =\"23452672\"]\n  9 [size=\"116226560\", alpha=\"0.14\", expect_size=\"46490624\"] \n  9 -> 10 [size =\"46490624\"]\n  10 [size=\"16883200\", alpha=\"0.18\", expect_size=\"6753280\"] \n  10 -> 11 [size =\"6753280\"]\n  11 [size=\"36439040\", alpha=\"0.13\", expect_size=\"14575616\"] \n  11 -> 12 [size =\"14575616\"]\n  12 [size=\"98362880\", alpha=\"0.15\", expect_size=\"39345152\"] \n  12 -> 13 [size =\"39345152\"]\n  13 [size=\"47377920\", alpha=\"0.02\", expect_size=\"18951168\"] \n  13 -> 14 [size =\"18951168\"]\n  14 [size=\"45578240\", alpha=\"0.02\", expect_size=\"18231296\"] \n  14 -> 15 [size =\"18231296\"]\n  15 [size=\"32783360\", alpha=\"0.16\", expect_size=\"13113344\"] \n  15 -> 16 [size =\"13113344\"]\n  16 [size=\"33856000\", alpha=\"0.13\", expect_size=\"13542400\"] \n  16 -> 17 [size =\"13542400\"]\n  17 [size=\"94881280\", alpha=\"0.03\", expect_size=\"37952512\"] \n  17 -> 18 [size =\"37952512\"]\n  18 [size=\"108198400\", alpha=\"0.17\", expect_size=\"43279360\"] \n  18 -> 19 [size =\"43279360\"]\n  19 [size=\"116974080\", alpha=\"0.01\", expect_size=\"46789632\"] \n  19 -> 20 [size =\"46789632\"]\n  20 [size=\"82324480\", alpha=\"0.13\", expect_size=\"32929792\"] \n  20 -> 21 [size =\"32929792\"]\n  21 [size=\"73433600\", alpha=\"0.07\", expect_size=\"29373440\"] \n  21 -> 22 [size =\"29373440\"]\n  22 [size=\"33907200\", alpha=\"0.11\", expect_size=\"13562880\"] \n  22 -> 23 [size =\"13562880\"]\n  23 [size=\"123860480\", alpha=\"0.15\", expect_size=\"49544192\"] \n  23 -> 24 [size =\"49544192\"]\n  24 [size=\"18398720\", alpha=\"0.14\", expect_size=\"7359488\"] \n  24 -> 25 [size =\"7359488\"]\n  25 [size=\"28421120\", alpha=\"0.05\", expect_size=\"11368448\"] \n  25 -> 26 [size =\"11368448\"]\n  26 [size=\"124236800\", alpha=\"0.18\", expect_size=\"49694720\"] \n  26 -> 27 [size =\"49694720\"]\n  27 [size=\"83781120\", alpha=\"0.11\", expect_size=\"33512448\"] \n  27 -> 28 [size =\"33512448\"]\n  28 [size=\"99486720\", alpha=\"0.11\", expect_size=\"39794688\"] \n  28 -> 29 [size =\"39794688\"]\n  29 [size=\"80089600\", alpha=\"0.09\", expect_size=\"32035840\"] \n  29 -> 30 [size =\"32035840\"]\n  30 [size=\"88038400\", alpha=\"0.08\", expect_size=\"35215360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96923648\", alpha=\"0.07\", expect_size=\"48461824\"] \n  1 -> 3 [size =\"48461824\"]\n  1 -> 4 [size =\"48461824\"]\n  2 [size=\"44775424\", alpha=\"0.20\", expect_size=\"22387712\"] \n  2 -> 3 [size =\"22387712\"]\n  3 [size=\"65802240\", alpha=\"0.05\", expect_size=\"32901120\"] \n  3 -> 6 [size =\"32901120\"]\n  4 [size=\"95264768\", alpha=\"0.18\", expect_size=\"47632384\"] \n  4 -> 5 [size =\"47632384\"]\n  5 [size=\"70514688\", alpha=\"0.16\", expect_size=\"35257344\"] \n  5 -> 7 [size =\"35257344\"]\n  5 -> 8 [size =\"35257344\"]\n  6 [size=\"70168576\", alpha=\"0.16\", expect_size=\"35084288\"] \n  6 -> 7 [size =\"35084288\"]\n  6 -> 8 [size =\"35084288\"]\n  7 [size=\"19806208\", alpha=\"0.02\", expect_size=\"9903104\"] \n  7 -> 9 [size =\"9903104\"]\n  8 [size=\"95592448\", alpha=\"0.16\", expect_size=\"47796224\"] \n  8 -> 9 [size =\"47796224\"]\n  9 [size=\"100167680\", alpha=\"0.15\", expect_size=\"50083840\"] \n  9 -> 10 [size =\"50083840\"]\n  10 [size=\"56178688\", alpha=\"0.14\", expect_size=\"28089344\"] \n  10 -> 11 [size =\"28089344\"]\n  11 [size=\"57501696\", alpha=\"0.04\", expect_size=\"28750848\"] \n  11 -> 12 [size =\"28750848\"]\n  12 [size=\"88672256\", alpha=\"0.09\", expect_size=\"44336128\"] \n  12 -> 13 [size =\"44336128\"]\n  13 [size=\"87058432\", alpha=\"0.00\", expect_size=\"43529216\"] \n  13 -> 14 [size =\"43529216\"]\n  13 -> 15 [size =\"43529216\"]\n  14 [size=\"14010368\", alpha=\"0.06\", expect_size=\"7005184\"] \n  14 -> 16 [size =\"7005184\"]\n  15 [size=\"96684032\", alpha=\"0.05\", expect_size=\"48342016\"] \n  15 -> 16 [size =\"48342016\"]\n  16 [size=\"76529664\", alpha=\"0.13\", expect_size=\"38264832\"] \n  16 -> 17 [size =\"38264832\"]\n  16 -> 18 [size =\"38264832\"]\n  17 [size=\"57389056\", alpha=\"0.00\", expect_size=\"28694528\"] \n  18 [size=\"64911360\", alpha=\"0.17\", expect_size=\"32455680\"] \n  18 -> 19 [size =\"32455680\"]\n  19 [size=\"48250880\", alpha=\"0.07\", expect_size=\"24125440\"] \n  19 -> 20 [size =\"24125440\"]\n  19 -> 21 [size =\"24125440\"]\n  20 [size=\"24993792\", alpha=\"0.15\", expect_size=\"12496896\"] \n  20 -> 22 [size =\"12496896\"]\n  20 -> 23 [size =\"12496896\"]\n  21 [size=\"91056128\", alpha=\"0.01\", expect_size=\"45528064\"] \n  21 -> 22 [size =\"45528064\"]\n  21 -> 23 [size =\"45528064\"]\n  22 [size=\"17426432\", alpha=\"0.14\", expect_size=\"8713216\"] \n  22 -> 24 [size =\"8713216\"]\n  23 [size=\"59234304\", alpha=\"0.20\", expect_size=\"29617152\"] \n  23 -> 25 [size =\"29617152\"]\n  24 [size=\"60366848\", alpha=\"0.03\", expect_size=\"30183424\"] \n  24 -> 26 [size =\"30183424\"]\n  24 -> 27 [size =\"30183424\"]\n  25 [size=\"88268800\", alpha=\"0.19\", expect_size=\"44134400\"] \n  25 -> 26 [size =\"44134400\"]\n  25 -> 27 [size =\"44134400\"]\n  26 [size=\"18726912\", alpha=\"0.07\", expect_size=\"9363456\"] \n  26 -> 28 [size =\"9363456\"]\n  26 -> 29 [size =\"9363456\"]\n  27 [size=\"79091712\", alpha=\"0.17\", expect_size=\"39545856\"] \n  27 -> 29 [size =\"39545856\"]\n  28 [size=\"81092608\", alpha=\"0.06\", expect_size=\"40546304\"] \n  28 -> 30 [size =\"40546304\"]\n  29 [size=\"64692224\", alpha=\"0.14\", expect_size=\"32346112\"] \n  29 -> 30 [size =\"32346112\"]\n  30 [size=\"97699840\", alpha=\"0.11\", expect_size=\"48849920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45964800\", alpha=\"0.14\", expect_size=\"18385920\"] \n  1 -> 18 [size =\"18385920\"]\n  1 -> 19 [size =\"18385920\"]\n  2 [size=\"24496640\", alpha=\"0.09\", expect_size=\"9798656\"] \n  2 -> 15 [size =\"9798656\"]\n  2 -> 17 [size =\"9798656\"]\n  2 -> 18 [size =\"9798656\"]\n  3 [size=\"65484800\", alpha=\"0.07\", expect_size=\"26193920\"] \n  3 -> 13 [size =\"26193920\"]\n  3 -> 14 [size =\"26193920\"]\n  3 -> 15 [size =\"26193920\"]\n  4 [size=\"51302400\", alpha=\"0.19\", expect_size=\"20520960\"] \n  4 -> 13 [size =\"20520960\"]\n  4 -> 15 [size =\"20520960\"]\n  5 [size=\"99635200\", alpha=\"0.08\", expect_size=\"39854080\"] \n  5 -> 13 [size =\"39854080\"]\n  5 -> 14 [size =\"39854080\"]\n  5 -> 18 [size =\"39854080\"]\n  6 [size=\"100556800\", alpha=\"0.19\", expect_size=\"40222720\"] \n  6 -> 19 [size =\"40222720\"]\n  7 [size=\"103997440\", alpha=\"0.09\", expect_size=\"41598976\"] \n  8 [size=\"18521600\", alpha=\"0.12\", expect_size=\"7408640\"] \n  8 -> 16 [size =\"7408640\"]\n  8 -> 18 [size =\"7408640\"]\n  8 -> 19 [size =\"7408640\"]\n  9 [size=\"81994240\", alpha=\"0.12\", expect_size=\"32797696\"] \n  9 -> 15 [size =\"32797696\"]\n  9 -> 18 [size =\"32797696\"]\n  9 -> 19 [size =\"32797696\"]\n  10 [size=\"76515840\", alpha=\"0.12\", expect_size=\"30606336\"] \n  10 -> 15 [size =\"30606336\"]\n  10 -> 18 [size =\"30606336\"]\n  11 [size=\"92474880\", alpha=\"0.01\", expect_size=\"36989952\"] \n  11 -> 15 [size =\"36989952\"]\n  11 -> 16 [size =\"36989952\"]\n  12 [size=\"55516160\", alpha=\"0.09\", expect_size=\"22206464\"] \n  12 -> 15 [size =\"22206464\"]\n  12 -> 18 [size =\"22206464\"]\n  12 -> 19 [size =\"22206464\"]\n  13 [size=\"110983680\", alpha=\"0.01\", expect_size=\"44393472\"] \n  13 -> 20 [size =\"44393472\"]\n  13 -> 22 [size =\"44393472\"]\n  13 -> 23 [size =\"44393472\"]\n  13 -> 25 [size =\"44393472\"]\n  13 -> 26 [size =\"44393472\"]\n  14 [size=\"34117120\", alpha=\"0.09\", expect_size=\"13646848\"] \n  14 -> 20 [size =\"13646848\"]\n  14 -> 24 [size =\"13646848\"]\n  15 [size=\"28193280\", alpha=\"0.18\", expect_size=\"11277312\"] \n  15 -> 23 [size =\"11277312\"]\n  15 -> 24 [size =\"11277312\"]\n  16 [size=\"74961920\", alpha=\"0.12\", expect_size=\"29984768\"] \n  16 -> 20 [size =\"29984768\"]\n  16 -> 23 [size =\"29984768\"]\n  16 -> 24 [size =\"29984768\"]\n  17 [size=\"67184640\", alpha=\"0.01\", expect_size=\"26873856\"] \n  17 -> 23 [size =\"26873856\"]\n  18 [size=\"118689280\", alpha=\"0.01\", expect_size=\"47475712\"] \n  18 -> 25 [size =\"47475712\"]\n  19 [size=\"72760320\", alpha=\"0.09\", expect_size=\"29104128\"] \n  19 -> 20 [size =\"29104128\"]\n  19 -> 21 [size =\"29104128\"]\n  19 -> 22 [size =\"29104128\"]\n  19 -> 23 [size =\"29104128\"]\n  19 -> 24 [size =\"29104128\"]\n  20 [size=\"25681920\", alpha=\"0.18\", expect_size=\"10272768\"] \n  20 -> 27 [size =\"10272768\"]\n  21 [size=\"98314240\", alpha=\"0.12\", expect_size=\"39325696\"] \n  22 [size=\"106245120\", alpha=\"0.08\", expect_size=\"42498048\"] \n  22 -> 30 [size =\"42498048\"]\n  23 [size=\"42552320\", alpha=\"0.13\", expect_size=\"17020928\"] \n  23 -> 29 [size =\"17020928\"]\n  24 [size=\"45749760\", alpha=\"0.04\", expect_size=\"18299904\"] \n  24 -> 27 [size =\"18299904\"]\n  24 -> 29 [size =\"18299904\"]\n  25 [size=\"97684480\", alpha=\"0.10\", expect_size=\"39073792\"] \n  25 -> 28 [size =\"39073792\"]\n  26 [size=\"87715840\", alpha=\"0.11\", expect_size=\"35086336\"] \n  27 [size=\"38259200\", alpha=\"0.07\", expect_size=\"15303680\"] \n  28 [size=\"43888640\", alpha=\"0.04\", expect_size=\"17555456\"] \n  29 [size=\"48440320\", alpha=\"0.13\", expect_size=\"19376128\"] \n  30 [size=\"101911040\", alpha=\"0.13\", expect_size=\"40764416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21757952\", alpha=\"0.03\", expect_size=\"10878976\"] \n  1 -> 22 [size =\"10878976\"]\n  1 -> 23 [size =\"10878976\"]\n  1 -> 24 [size =\"10878976\"]\n  1 -> 25 [size =\"10878976\"]\n  1 -> 26 [size =\"10878976\"]\n  1 -> 27 [size =\"10878976\"]\n  2 [size=\"94681088\", alpha=\"0.04\", expect_size=\"47340544\"] \n  2 -> 20 [size =\"47340544\"]\n  2 -> 22 [size =\"47340544\"]\n  2 -> 25 [size =\"47340544\"]\n  2 -> 27 [size =\"47340544\"]\n  2 -> 30 [size =\"47340544\"]\n  3 [size=\"57876480\", alpha=\"0.09\", expect_size=\"28938240\"] \n  3 -> 18 [size =\"28938240\"]\n  3 -> 22 [size =\"28938240\"]\n  3 -> 25 [size =\"28938240\"]\n  3 -> 26 [size =\"28938240\"]\n  3 -> 30 [size =\"28938240\"]\n  4 [size=\"94330880\", alpha=\"0.08\", expect_size=\"47165440\"] \n  4 -> 21 [size =\"47165440\"]\n  4 -> 22 [size =\"47165440\"]\n  4 -> 24 [size =\"47165440\"]\n  4 -> 25 [size =\"47165440\"]\n  5 [size=\"94752768\", alpha=\"0.02\", expect_size=\"47376384\"] \n  5 -> 18 [size =\"47376384\"]\n  5 -> 21 [size =\"47376384\"]\n  5 -> 22 [size =\"47376384\"]\n  5 -> 24 [size =\"47376384\"]\n  5 -> 25 [size =\"47376384\"]\n  5 -> 27 [size =\"47376384\"]\n  5 -> 30 [size =\"47376384\"]\n  6 [size=\"57577472\", alpha=\"0.11\", expect_size=\"28788736\"] \n  6 -> 22 [size =\"28788736\"]\n  6 -> 24 [size =\"28788736\"]\n  6 -> 25 [size =\"28788736\"]\n  6 -> 27 [size =\"28788736\"]\n  7 [size=\"39131136\", alpha=\"0.13\", expect_size=\"19565568\"] \n  7 -> 17 [size =\"19565568\"]\n  7 -> 20 [size =\"19565568\"]\n  7 -> 21 [size =\"19565568\"]\n  7 -> 23 [size =\"19565568\"]\n  7 -> 24 [size =\"19565568\"]\n  7 -> 25 [size =\"19565568\"]\n  7 -> 26 [size =\"19565568\"]\n  8 [size=\"76603392\", alpha=\"0.20\", expect_size=\"38301696\"] \n  8 -> 18 [size =\"38301696\"]\n  8 -> 23 [size =\"38301696\"]\n  8 -> 25 [size =\"38301696\"]\n  8 -> 26 [size =\"38301696\"]\n  9 [size=\"95336448\", alpha=\"0.05\", expect_size=\"47668224\"] \n  9 -> 23 [size =\"47668224\"]\n  9 -> 24 [size =\"47668224\"]\n  9 -> 26 [size =\"47668224\"]\n  10 [size=\"60297216\", alpha=\"0.08\", expect_size=\"30148608\"] \n  10 -> 18 [size =\"30148608\"]\n  10 -> 24 [size =\"30148608\"]\n  10 -> 27 [size =\"30148608\"]\n  10 -> 28 [size =\"30148608\"]\n  10 -> 30 [size =\"30148608\"]\n  11 [size=\"91748352\", alpha=\"0.04\", expect_size=\"45874176\"] \n  11 -> 22 [size =\"45874176\"]\n  11 -> 24 [size =\"45874176\"]\n  11 -> 26 [size =\"45874176\"]\n  11 -> 30 [size =\"45874176\"]\n  12 [size=\"10762240\", alpha=\"0.02\", expect_size=\"5381120\"] \n  12 -> 19 [size =\"5381120\"]\n  12 -> 20 [size =\"5381120\"]\n  12 -> 23 [size =\"5381120\"]\n  12 -> 24 [size =\"5381120\"]\n  12 -> 30 [size =\"5381120\"]\n  13 [size=\"27838464\", alpha=\"0.05\", expect_size=\"13919232\"] \n  13 -> 22 [size =\"13919232\"]\n  13 -> 24 [size =\"13919232\"]\n  13 -> 25 [size =\"13919232\"]\n  13 -> 26 [size =\"13919232\"]\n  13 -> 30 [size =\"13919232\"]\n  14 [size=\"70903808\", alpha=\"0.08\", expect_size=\"35451904\"] \n  14 -> 20 [size =\"35451904\"]\n  14 -> 22 [size =\"35451904\"]\n  14 -> 24 [size =\"35451904\"]\n  14 -> 25 [size =\"35451904\"]\n  14 -> 26 [size =\"35451904\"]\n  14 -> 28 [size =\"35451904\"]\n  14 -> 30 [size =\"35451904\"]\n  15 [size=\"16134144\", alpha=\"0.15\", expect_size=\"8067072\"] \n  15 -> 21 [size =\"8067072\"]\n  15 -> 22 [size =\"8067072\"]\n  15 -> 26 [size =\"8067072\"]\n  15 -> 27 [size =\"8067072\"]\n  15 -> 28 [size =\"8067072\"]\n  15 -> 29 [size =\"8067072\"]\n  15 -> 30 [size =\"8067072\"]\n  16 [size=\"24426496\", alpha=\"0.01\", expect_size=\"12213248\"] \n  16 -> 18 [size =\"12213248\"]\n  16 -> 21 [size =\"12213248\"]\n  16 -> 22 [size =\"12213248\"]\n  17 [size=\"76793856\", alpha=\"0.12\", expect_size=\"38396928\"] \n  18 [size=\"45154304\", alpha=\"0.20\", expect_size=\"22577152\"] \n  19 [size=\"44382208\", alpha=\"0.10\", expect_size=\"22191104\"] \n  20 [size=\"68438016\", alpha=\"0.06\", expect_size=\"34219008\"] \n  21 [size=\"14059520\", alpha=\"0.05\", expect_size=\"7029760\"] \n  22 [size=\"32729088\", alpha=\"0.02\", expect_size=\"16364544\"] \n  23 [size=\"42655744\", alpha=\"0.09\", expect_size=\"21327872\"] \n  24 [size=\"65628160\", alpha=\"0.14\", expect_size=\"32814080\"] \n  25 [size=\"102735872\", alpha=\"0.16\", expect_size=\"51367936\"] \n  26 [size=\"80195584\", alpha=\"0.09\", expect_size=\"40097792\"] \n  27 [size=\"84271104\", alpha=\"0.07\", expect_size=\"42135552\"] \n  28 [size=\"45105152\", alpha=\"0.00\", expect_size=\"22552576\"] \n  29 [size=\"43233280\", alpha=\"0.11\", expect_size=\"21616640\"] \n  30 [size=\"88641536\", alpha=\"0.12\", expect_size=\"44320768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30001152\", alpha=\"0.18\", expect_size=\"15000576\"] \n  2 [size=\"40493056\", alpha=\"0.04\", expect_size=\"20246528\"] \n  3 [size=\"57571328\", alpha=\"0.17\", expect_size=\"28785664\"] \n  4 [size=\"46313472\", alpha=\"0.02\", expect_size=\"23156736\"] \n  5 [size=\"67454976\", alpha=\"0.01\", expect_size=\"33727488\"] \n  6 [size=\"83859456\", alpha=\"0.11\", expect_size=\"41929728\"] \n  7 [size=\"65183744\", alpha=\"0.19\", expect_size=\"32591872\"] \n  8 [size=\"15192064\", alpha=\"0.18\", expect_size=\"7596032\"] \n  8 -> 30 [size =\"7596032\"]\n  9 [size=\"61984768\", alpha=\"0.06\", expect_size=\"30992384\"] \n  10 [size=\"87298048\", alpha=\"0.04\", expect_size=\"43649024\"] \n  11 [size=\"52090880\", alpha=\"0.17\", expect_size=\"26045440\"] \n  12 [size=\"43689984\", alpha=\"0.10\", expect_size=\"21844992\"] \n  13 [size=\"61564928\", alpha=\"0.15\", expect_size=\"30782464\"] \n  14 [size=\"45811712\", alpha=\"0.04\", expect_size=\"22905856\"] \n  14 -> 30 [size =\"22905856\"]\n  15 [size=\"54489088\", alpha=\"0.10\", expect_size=\"27244544\"] \n  15 -> 30 [size =\"27244544\"]\n  16 [size=\"57339904\", alpha=\"0.15\", expect_size=\"28669952\"] \n  17 [size=\"15941632\", alpha=\"0.15\", expect_size=\"7970816\"] \n  18 [size=\"13125632\", alpha=\"0.13\", expect_size=\"6562816\"] \n  19 [size=\"97366016\", alpha=\"0.05\", expect_size=\"48683008\"] \n  20 [size=\"29868032\", alpha=\"0.11\", expect_size=\"14934016\"] \n  20 -> 30 [size =\"14934016\"]\n  21 [size=\"48488448\", alpha=\"0.02\", expect_size=\"24244224\"] \n  21 -> 30 [size =\"24244224\"]\n  22 [size=\"36560896\", alpha=\"0.19\", expect_size=\"18280448\"] \n  23 [size=\"85088256\", alpha=\"0.06\", expect_size=\"42544128\"] \n  24 [size=\"59338752\", alpha=\"0.00\", expect_size=\"29669376\"] \n  25 [size=\"76163072\", alpha=\"0.07\", expect_size=\"38081536\"] \n  26 [size=\"29593600\", alpha=\"0.09\", expect_size=\"14796800\"] \n  27 [size=\"102121472\", alpha=\"0.03\", expect_size=\"51060736\"] \n  27 -> 30 [size =\"51060736\"]\n  28 [size=\"79112192\", alpha=\"0.17\", expect_size=\"39556096\"] \n  29 [size=\"47659008\", alpha=\"0.03\", expect_size=\"23829504\"] \n  30 [size=\"69242880\", alpha=\"0.05\", expect_size=\"34621440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160614400\", alpha=\"0.07\", expect_size=\"48184320\"] \n  1 -> 9 [size =\"48184320\"]\n  1 -> 11 [size =\"48184320\"]\n  1 -> 15 [size =\"48184320\"]\n  1 -> 16 [size =\"48184320\"]\n  1 -> 17 [size =\"48184320\"]\n  1 -> 18 [size =\"48184320\"]\n  2 [size=\"115657387\", alpha=\"0.12\", expect_size=\"34697216\"] \n  2 -> 9 [size =\"34697216\"]\n  2 -> 13 [size =\"34697216\"]\n  2 -> 16 [size =\"34697216\"]\n  3 [size=\"64870400\", alpha=\"0.14\", expect_size=\"19461120\"] \n  3 -> 9 [size =\"19461120\"]\n  3 -> 13 [size =\"19461120\"]\n  3 -> 14 [size =\"19461120\"]\n  3 -> 17 [size =\"19461120\"]\n  4 [size=\"87439360\", alpha=\"0.07\", expect_size=\"26231808\"] \n  4 -> 11 [size =\"26231808\"]\n  4 -> 12 [size =\"26231808\"]\n  4 -> 13 [size =\"26231808\"]\n  4 -> 16 [size =\"26231808\"]\n  4 -> 17 [size =\"26231808\"]\n  4 -> 18 [size =\"26231808\"]\n  4 -> 19 [size =\"26231808\"]\n  5 [size=\"139851093\", alpha=\"0.10\", expect_size=\"41955328\"] \n  5 -> 10 [size =\"41955328\"]\n  5 -> 11 [size =\"41955328\"]\n  5 -> 12 [size =\"41955328\"]\n  5 -> 14 [size =\"41955328\"]\n  5 -> 16 [size =\"41955328\"]\n  5 -> 17 [size =\"41955328\"]\n  5 -> 18 [size =\"41955328\"]\n  5 -> 19 [size =\"41955328\"]\n  6 [size=\"120883200\", alpha=\"0.19\", expect_size=\"36264960\"] \n  6 -> 9 [size =\"36264960\"]\n  6 -> 10 [size =\"36264960\"]\n  6 -> 11 [size =\"36264960\"]\n  6 -> 12 [size =\"36264960\"]\n  6 -> 13 [size =\"36264960\"]\n  6 -> 14 [size =\"36264960\"]\n  6 -> 17 [size =\"36264960\"]\n  6 -> 18 [size =\"36264960\"]\n  6 -> 19 [size =\"36264960\"]\n  7 [size=\"39028053\", alpha=\"0.09\", expect_size=\"11708416\"] \n  7 -> 12 [size =\"11708416\"]\n  7 -> 17 [size =\"11708416\"]\n  8 [size=\"70714027\", alpha=\"0.16\", expect_size=\"21214208\"] \n  8 -> 9 [size =\"21214208\"]\n  8 -> 11 [size =\"21214208\"]\n  8 -> 13 [size =\"21214208\"]\n  8 -> 16 [size =\"21214208\"]\n  8 -> 19 [size =\"21214208\"]\n  9 [size=\"154777600\", alpha=\"0.13\", expect_size=\"46433280\"] \n  9 -> 23 [size =\"46433280\"]\n  9 -> 24 [size =\"46433280\"]\n  9 -> 25 [size =\"46433280\"]\n  9 -> 27 [size =\"46433280\"]\n  9 -> 29 [size =\"46433280\"]\n  10 [size=\"23961600\", alpha=\"0.06\", expect_size=\"7188480\"] \n  10 -> 23 [size =\"7188480\"]\n  10 -> 27 [size =\"7188480\"]\n  10 -> 28 [size =\"7188480\"]\n  10 -> 30 [size =\"7188480\"]\n  11 [size=\"137243307\", alpha=\"0.16\", expect_size=\"41172992\"] \n  11 -> 20 [size =\"41172992\"]\n  11 -> 25 [size =\"41172992\"]\n  11 -> 26 [size =\"41172992\"]\n  11 -> 27 [size =\"41172992\"]\n  11 -> 30 [size =\"41172992\"]\n  12 [size=\"31621120\", alpha=\"0.01\", expect_size=\"9486336\"] \n  12 -> 23 [size =\"9486336\"]\n  12 -> 24 [size =\"9486336\"]\n  12 -> 27 [size =\"9486336\"]\n  12 -> 30 [size =\"9486336\"]\n  13 [size=\"127078400\", alpha=\"0.11\", expect_size=\"38123520\"] \n  13 -> 22 [size =\"38123520\"]\n  13 -> 25 [size =\"38123520\"]\n  13 -> 28 [size =\"38123520\"]\n  13 -> 30 [size =\"38123520\"]\n  14 [size=\"80667307\", alpha=\"0.11\", expect_size=\"24200192\"] \n  14 -> 21 [size =\"24200192\"]\n  14 -> 28 [size =\"24200192\"]\n  15 [size=\"138478933\", alpha=\"0.20\", expect_size=\"41543680\"] \n  15 -> 24 [size =\"41543680\"]\n  15 -> 27 [size =\"41543680\"]\n  15 -> 28 [size =\"41543680\"]\n  16 [size=\"62593707\", alpha=\"0.17\", expect_size=\"18778112\"] \n  16 -> 21 [size =\"18778112\"]\n  16 -> 23 [size =\"18778112\"]\n  16 -> 24 [size =\"18778112\"]\n  16 -> 27 [size =\"18778112\"]\n  16 -> 28 [size =\"18778112\"]\n  16 -> 29 [size =\"18778112\"]\n  16 -> 30 [size =\"18778112\"]\n  17 [size=\"52613120\", alpha=\"0.18\", expect_size=\"15783936\"] \n  17 -> 21 [size =\"15783936\"]\n  17 -> 23 [size =\"15783936\"]\n  17 -> 24 [size =\"15783936\"]\n  17 -> 26 [size =\"15783936\"]\n  18 [size=\"120115200\", alpha=\"0.07\", expect_size=\"36034560\"] \n  18 -> 21 [size =\"36034560\"]\n  18 -> 23 [size =\"36034560\"]\n  18 -> 24 [size =\"36034560\"]\n  18 -> 26 [size =\"36034560\"]\n  18 -> 27 [size =\"36034560\"]\n  19 [size=\"89074347\", alpha=\"0.16\", expect_size=\"26722304\"] \n  19 -> 23 [size =\"26722304\"]\n  19 -> 24 [size =\"26722304\"]\n  19 -> 26 [size =\"26722304\"]\n  19 -> 26 [size =\"26722304\"]\n  20 [size=\"31945387\", alpha=\"0.12\", expect_size=\"9583616\"] \n  21 [size=\"78028800\", alpha=\"0.06\", expect_size=\"23408640\"] \n  22 [size=\"46428160\", alpha=\"0.13\", expect_size=\"13928448\"] \n  23 [size=\"56746667\", alpha=\"0.06\", expect_size=\"17024000\"] \n  24 [size=\"140967253\", alpha=\"0.08\", expect_size=\"42290176\"] \n  25 [size=\"70546773\", alpha=\"0.05\", expect_size=\"21164032\"] \n  26 [size=\"69870933\", alpha=\"0.15\", expect_size=\"20961280\"] \n  27 [size=\"48657067\", alpha=\"0.08\", expect_size=\"14597120\"] \n  28 [size=\"36785493\", alpha=\"0.08\", expect_size=\"11035648\"] \n  29 [size=\"93668693\", alpha=\"0.06\", expect_size=\"28100608\"] \n  30 [size=\"59938133\", alpha=\"0.04\", expect_size=\"17981440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155852800\", alpha=\"0.17\", expect_size=\"46755840\"] \n  1 -> 8 [size =\"46755840\"]\n  1 -> 9 [size =\"46755840\"]\n  1 -> 11 [size =\"46755840\"]\n  1 -> 14 [size =\"46755840\"]\n  1 -> 15 [size =\"46755840\"]\n  2 [size=\"153272320\", alpha=\"0.10\", expect_size=\"45981696\"] \n  2 -> 7 [size =\"45981696\"]\n  2 -> 8 [size =\"45981696\"]\n  2 -> 14 [size =\"45981696\"]\n  3 [size=\"95672320\", alpha=\"0.15\", expect_size=\"28701696\"] \n  3 -> 7 [size =\"28701696\"]\n  3 -> 8 [size =\"28701696\"]\n  3 -> 10 [size =\"28701696\"]\n  3 -> 12 [size =\"28701696\"]\n  3 -> 13 [size =\"28701696\"]\n  3 -> 15 [size =\"28701696\"]\n  4 [size=\"38000640\", alpha=\"0.14\", expect_size=\"11400192\"] \n  4 -> 13 [size =\"11400192\"]\n  5 [size=\"146298880\", alpha=\"0.01\", expect_size=\"43889664\"] \n  5 -> 7 [size =\"43889664\"]\n  5 -> 9 [size =\"43889664\"]\n  5 -> 10 [size =\"43889664\"]\n  5 -> 13 [size =\"43889664\"]\n  6 [size=\"50227200\", alpha=\"0.05\", expect_size=\"15068160\"] \n  7 [size=\"93511680\", alpha=\"0.06\", expect_size=\"28053504\"] \n  7 -> 16 [size =\"28053504\"]\n  7 -> 19 [size =\"28053504\"]\n  7 -> 20 [size =\"28053504\"]\n  7 -> 21 [size =\"28053504\"]\n  8 [size=\"83247787\", alpha=\"0.16\", expect_size=\"24974336\"] \n  8 -> 17 [size =\"24974336\"]\n  8 -> 18 [size =\"24974336\"]\n  9 [size=\"117538133\", alpha=\"0.06\", expect_size=\"35261440\"] \n  9 -> 17 [size =\"35261440\"]\n  9 -> 18 [size =\"35261440\"]\n  9 -> 19 [size =\"35261440\"]\n  9 -> 20 [size =\"35261440\"]\n  9 -> 21 [size =\"35261440\"]\n  9 -> 22 [size =\"35261440\"]\n  9 -> 23 [size =\"35261440\"]\n  10 [size=\"133997227\", alpha=\"0.13\", expect_size=\"40199168\"] \n  10 -> 18 [size =\"40199168\"]\n  10 -> 23 [size =\"40199168\"]\n  11 [size=\"64341333\", alpha=\"0.08\", expect_size=\"19302400\"] \n  11 -> 16 [size =\"19302400\"]\n  11 -> 18 [size =\"19302400\"]\n  11 -> 20 [size =\"19302400\"]\n  11 -> 22 [size =\"19302400\"]\n  12 [size=\"41454933\", alpha=\"0.13\", expect_size=\"12436480\"] \n  12 -> 17 [size =\"12436480\"]\n  12 -> 21 [size =\"12436480\"]\n  12 -> 23 [size =\"12436480\"]\n  13 [size=\"117026133\", alpha=\"0.04\", expect_size=\"35107840\"] \n  13 -> 20 [size =\"35107840\"]\n  13 -> 22 [size =\"35107840\"]\n  13 -> 23 [size =\"35107840\"]\n  14 [size=\"79141547\", alpha=\"0.11\", expect_size=\"23742464\"] \n  14 -> 17 [size =\"23742464\"]\n  14 -> 19 [size =\"23742464\"]\n  15 [size=\"33720320\", alpha=\"0.02\", expect_size=\"10116096\"] \n  15 -> 16 [size =\"10116096\"]\n  15 -> 19 [size =\"10116096\"]\n  15 -> 21 [size =\"10116096\"]\n  15 -> 23 [size =\"10116096\"]\n  16 [size=\"43233280\", alpha=\"0.04\", expect_size=\"12969984\"] \n  16 -> 24 [size =\"12969984\"]\n  16 -> 30 [size =\"12969984\"]\n  17 [size=\"84940800\", alpha=\"0.08\", expect_size=\"25482240\"] \n  17 -> 25 [size =\"25482240\"]\n  17 -> 26 [size =\"25482240\"]\n  17 -> 27 [size =\"25482240\"]\n  17 -> 28 [size =\"25482240\"]\n  17 -> 30 [size =\"25482240\"]\n  18 [size=\"135424000\", alpha=\"0.12\", expect_size=\"40627200\"] \n  18 -> 26 [size =\"40627200\"]\n  18 -> 26 [size =\"40627200\"]\n  19 [size=\"102618453\", alpha=\"0.08\", expect_size=\"30785536\"] \n  19 -> 24 [size =\"30785536\"]\n  19 -> 25 [size =\"30785536\"]\n  19 -> 28 [size =\"30785536\"]\n  19 -> 29 [size =\"30785536\"]\n  20 [size=\"150688427\", alpha=\"0.14\", expect_size=\"45206528\"] \n  20 -> 24 [size =\"45206528\"]\n  20 -> 25 [size =\"45206528\"]\n  21 [size=\"93549227\", alpha=\"0.17\", expect_size=\"28064768\"] \n  21 -> 27 [size =\"28064768\"]\n  21 -> 28 [size =\"28064768\"]\n  22 [size=\"158573227\", alpha=\"0.17\", expect_size=\"47571968\"] \n  22 -> 26 [size =\"47571968\"]\n  22 -> 29 [size =\"47571968\"]\n  22 -> 30 [size =\"47571968\"]\n  23 [size=\"101782187\", alpha=\"0.08\", expect_size=\"30534656\"] \n  23 -> 24 [size =\"30534656\"]\n  23 -> 25 [size =\"30534656\"]\n  23 -> 27 [size =\"30534656\"]\n  23 -> 30 [size =\"30534656\"]\n  24 [size=\"129563307\", alpha=\"0.00\", expect_size=\"38868992\"] \n  25 [size=\"56883200\", alpha=\"0.10\", expect_size=\"17064960\"] \n  26 [size=\"72041813\", alpha=\"0.03\", expect_size=\"21612544\"] \n  27 [size=\"102273707\", alpha=\"0.06\", expect_size=\"30682112\"] \n  28 [size=\"162181120\", alpha=\"0.18\", expect_size=\"48654336\"] \n  29 [size=\"102956373\", alpha=\"0.02\", expect_size=\"30886912\"] \n  30 [size=\"167789227\", alpha=\"0.01\", expect_size=\"50336768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125637120\", alpha=\"0.13\", expect_size=\"50254848\"] \n  1 -> 6 [size =\"50254848\"]\n  1 -> 7 [size =\"50254848\"]\n  2 [size=\"74037760\", alpha=\"0.11\", expect_size=\"29615104\"] \n  2 -> 6 [size =\"29615104\"]\n  2 -> 7 [size =\"29615104\"]\n  2 -> 9 [size =\"29615104\"]\n  3 [size=\"40750080\", alpha=\"0.13\", expect_size=\"16300032\"] \n  3 -> 6 [size =\"16300032\"]\n  3 -> 9 [size =\"16300032\"]\n  3 -> 10 [size =\"16300032\"]\n  4 [size=\"34626560\", alpha=\"0.19\", expect_size=\"13850624\"] \n  4 -> 6 [size =\"13850624\"]\n  5 [size=\"16875520\", alpha=\"0.18\", expect_size=\"6750208\"] \n  5 -> 6 [size =\"6750208\"]\n  5 -> 8 [size =\"6750208\"]\n  6 [size=\"117969920\", alpha=\"0.06\", expect_size=\"47187968\"] \n  6 -> 11 [size =\"47187968\"]\n  6 -> 13 [size =\"47187968\"]\n  7 [size=\"57520640\", alpha=\"0.04\", expect_size=\"23008256\"] \n  7 -> 11 [size =\"23008256\"]\n  7 -> 13 [size =\"23008256\"]\n  7 -> 14 [size =\"23008256\"]\n  8 [size=\"50946560\", alpha=\"0.11\", expect_size=\"20378624\"] \n  8 -> 11 [size =\"20378624\"]\n  8 -> 12 [size =\"20378624\"]\n  8 -> 14 [size =\"20378624\"]\n  9 [size=\"29857280\", alpha=\"0.20\", expect_size=\"11942912\"] \n  9 -> 12 [size =\"11942912\"]\n  9 -> 13 [size =\"11942912\"]\n  9 -> 14 [size =\"11942912\"]\n  10 [size=\"112102400\", alpha=\"0.14\", expect_size=\"44840960\"] \n  10 -> 11 [size =\"44840960\"]\n  10 -> 12 [size =\"44840960\"]\n  10 -> 14 [size =\"44840960\"]\n  11 [size=\"121123840\", alpha=\"0.11\", expect_size=\"48449536\"] \n  11 -> 15 [size =\"48449536\"]\n  11 -> 16 [size =\"48449536\"]\n  11 -> 17 [size =\"48449536\"]\n  12 [size=\"79831040\", alpha=\"0.08\", expect_size=\"31932416\"] \n  12 -> 15 [size =\"31932416\"]\n  12 -> 16 [size =\"31932416\"]\n  12 -> 18 [size =\"31932416\"]\n  12 -> 19 [size =\"31932416\"]\n  13 [size=\"28172800\", alpha=\"0.15\", expect_size=\"11269120\"] \n  13 -> 15 [size =\"11269120\"]\n  13 -> 19 [size =\"11269120\"]\n  14 [size=\"102632960\", alpha=\"0.07\", expect_size=\"41053184\"] \n  14 -> 15 [size =\"41053184\"]\n  14 -> 16 [size =\"41053184\"]\n  15 [size=\"96514560\", alpha=\"0.02\", expect_size=\"38605824\"] \n  15 -> 20 [size =\"38605824\"]\n  16 [size=\"81835520\", alpha=\"0.00\", expect_size=\"32734208\"] \n  16 -> 20 [size =\"32734208\"]\n  16 -> 23 [size =\"32734208\"]\n  17 [size=\"115212800\", alpha=\"0.14\", expect_size=\"46085120\"] \n  18 [size=\"19217920\", alpha=\"0.02\", expect_size=\"7687168\"] \n  18 -> 21 [size =\"7687168\"]\n  18 -> 22 [size =\"7687168\"]\n  18 -> 23 [size =\"7687168\"]\n  19 [size=\"83246080\", alpha=\"0.07\", expect_size=\"33298432\"] \n  19 -> 20 [size =\"33298432\"]\n  19 -> 21 [size =\"33298432\"]\n  19 -> 23 [size =\"33298432\"]\n  20 [size=\"80970240\", alpha=\"0.17\", expect_size=\"32388096\"] \n  20 -> 25 [size =\"32388096\"]\n  20 -> 26 [size =\"32388096\"]\n  21 [size=\"45683200\", alpha=\"0.05\", expect_size=\"18273280\"] \n  21 -> 24 [size =\"18273280\"]\n  21 -> 26 [size =\"18273280\"]\n  21 -> 27 [size =\"18273280\"]\n  21 -> 28 [size =\"18273280\"]\n  22 [size=\"109345280\", alpha=\"0.05\", expect_size=\"43738112\"] \n  22 -> 24 [size =\"43738112\"]\n  22 -> 25 [size =\"43738112\"]\n  22 -> 26 [size =\"43738112\"]\n  22 -> 27 [size =\"43738112\"]\n  22 -> 28 [size =\"43738112\"]\n  23 [size=\"39016960\", alpha=\"0.08\", expect_size=\"15606784\"] \n  23 -> 24 [size =\"15606784\"]\n  23 -> 25 [size =\"15606784\"]\n  23 -> 26 [size =\"15606784\"]\n  24 [size=\"127674880\", alpha=\"0.16\", expect_size=\"51069952\"] \n  24 -> 29 [size =\"51069952\"]\n  25 [size=\"50083840\", alpha=\"0.04\", expect_size=\"20033536\"] \n  25 -> 29 [size =\"20033536\"]\n  26 [size=\"60362240\", alpha=\"0.10\", expect_size=\"24144896\"] \n  26 -> 29 [size =\"24144896\"]\n  27 [size=\"63070720\", alpha=\"0.03\", expect_size=\"25228288\"] \n  27 -> 29 [size =\"25228288\"]\n  27 -> 30 [size =\"25228288\"]\n  28 [size=\"26575360\", alpha=\"0.03\", expect_size=\"10630144\"] \n  28 -> 29 [size =\"10630144\"]\n  28 -> 30 [size =\"10630144\"]\n  29 [size=\"39930880\", alpha=\"0.06\", expect_size=\"15972352\"] \n  30 [size=\"81164800\", alpha=\"0.05\", expect_size=\"32465920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21731328\", alpha=\"0.06\", expect_size=\"10865664\"] \n  1 -> 14 [size =\"10865664\"]\n  2 [size=\"62115840\", alpha=\"0.06\", expect_size=\"31057920\"] \n  3 [size=\"14170112\", alpha=\"0.07\", expect_size=\"7085056\"] \n  3 -> 8 [size =\"7085056\"]\n  3 -> 12 [size =\"7085056\"]\n  4 [size=\"89954304\", alpha=\"0.11\", expect_size=\"44977152\"] \n  4 -> 10 [size =\"44977152\"]\n  4 -> 11 [size =\"44977152\"]\n  4 -> 12 [size =\"44977152\"]\n  4 -> 14 [size =\"44977152\"]\n  5 [size=\"62443520\", alpha=\"0.17\", expect_size=\"31221760\"] \n  5 -> 8 [size =\"31221760\"]\n  5 -> 12 [size =\"31221760\"]\n  5 -> 14 [size =\"31221760\"]\n  6 [size=\"44597248\", alpha=\"0.10\", expect_size=\"22298624\"] \n  6 -> 12 [size =\"22298624\"]\n  6 -> 13 [size =\"22298624\"]\n  7 [size=\"86122496\", alpha=\"0.05\", expect_size=\"43061248\"] \n  7 -> 9 [size =\"43061248\"]\n  7 -> 12 [size =\"43061248\"]\n  8 [size=\"42891264\", alpha=\"0.12\", expect_size=\"21445632\"] \n  8 -> 16 [size =\"21445632\"]\n  8 -> 19 [size =\"21445632\"]\n  8 -> 21 [size =\"21445632\"]\n  9 [size=\"11972608\", alpha=\"0.06\", expect_size=\"5986304\"] \n  9 -> 18 [size =\"5986304\"]\n  10 [size=\"15745024\", alpha=\"0.07\", expect_size=\"7872512\"] \n  11 [size=\"47822848\", alpha=\"0.00\", expect_size=\"23911424\"] \n  11 -> 15 [size =\"23911424\"]\n  11 -> 17 [size =\"23911424\"]\n  11 -> 21 [size =\"23911424\"]\n  12 [size=\"76290048\", alpha=\"0.09\", expect_size=\"38145024\"] \n  12 -> 15 [size =\"38145024\"]\n  12 -> 19 [size =\"38145024\"]\n  12 -> 20 [size =\"38145024\"]\n  13 [size=\"12414976\", alpha=\"0.03\", expect_size=\"6207488\"] \n  13 -> 15 [size =\"6207488\"]\n  13 -> 16 [size =\"6207488\"]\n  13 -> 17 [size =\"6207488\"]\n  13 -> 18 [size =\"6207488\"]\n  13 -> 19 [size =\"6207488\"]\n  13 -> 20 [size =\"6207488\"]\n  13 -> 21 [size =\"6207488\"]\n  14 [size=\"47290368\", alpha=\"0.10\", expect_size=\"23645184\"] \n  14 -> 15 [size =\"23645184\"]\n  14 -> 16 [size =\"23645184\"]\n  14 -> 17 [size =\"23645184\"]\n  14 -> 19 [size =\"23645184\"]\n  14 -> 20 [size =\"23645184\"]\n  14 -> 21 [size =\"23645184\"]\n  15 [size=\"99805184\", alpha=\"0.02\", expect_size=\"49902592\"] \n  15 -> 22 [size =\"49902592\"]\n  15 -> 24 [size =\"49902592\"]\n  16 [size=\"84903936\", alpha=\"0.10\", expect_size=\"42451968\"] \n  16 -> 28 [size =\"42451968\"]\n  17 [size=\"37093376\", alpha=\"0.14\", expect_size=\"18546688\"] \n  17 -> 23 [size =\"18546688\"]\n  17 -> 25 [size =\"18546688\"]\n  18 [size=\"61032448\", alpha=\"0.06\", expect_size=\"30516224\"] \n  18 -> 28 [size =\"30516224\"]\n  18 -> 30 [size =\"30516224\"]\n  19 [size=\"22472704\", alpha=\"0.07\", expect_size=\"11236352\"] \n  19 -> 23 [size =\"11236352\"]\n  19 -> 24 [size =\"11236352\"]\n  19 -> 28 [size =\"11236352\"]\n  19 -> 29 [size =\"11236352\"]\n  20 [size=\"50038784\", alpha=\"0.12\", expect_size=\"25019392\"] \n  20 -> 22 [size =\"25019392\"]\n  20 -> 23 [size =\"25019392\"]\n  20 -> 24 [size =\"25019392\"]\n  20 -> 27 [size =\"25019392\"]\n  20 -> 30 [size =\"25019392\"]\n  21 [size=\"82028544\", alpha=\"0.18\", expect_size=\"41014272\"] \n  21 -> 24 [size =\"41014272\"]\n  21 -> 26 [size =\"41014272\"]\n  22 [size=\"82511872\", alpha=\"0.16\", expect_size=\"41255936\"] \n  23 [size=\"31557632\", alpha=\"0.14\", expect_size=\"15778816\"] \n  24 [size=\"46102528\", alpha=\"0.09\", expect_size=\"23051264\"] \n  25 [size=\"92553216\", alpha=\"0.15\", expect_size=\"46276608\"] \n  26 [size=\"103866368\", alpha=\"0.09\", expect_size=\"51933184\"] \n  27 [size=\"58501120\", alpha=\"0.18\", expect_size=\"29250560\"] \n  28 [size=\"31019008\", alpha=\"0.14\", expect_size=\"15509504\"] \n  29 [size=\"60203008\", alpha=\"0.11\", expect_size=\"30101504\"] \n  30 [size=\"95576064\", alpha=\"0.08\", expect_size=\"47788032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72165376\", alpha=\"0.10\", expect_size=\"36082688\"] \n  1 -> 30 [size =\"36082688\"]\n  1 -> 30 [size =\"36082688\"]\n  2 [size=\"20828160\", alpha=\"0.13\", expect_size=\"10414080\"] \n  2 -> 30 [size =\"10414080\"]\n  3 [size=\"16916480\", alpha=\"0.11\", expect_size=\"8458240\"] \n  3 -> 27 [size =\"8458240\"]\n  3 -> 30 [size =\"8458240\"]\n  4 [size=\"12441600\", alpha=\"0.19\", expect_size=\"6220800\"] \n  4 -> 30 [size =\"6220800\"]\n  4 -> 30 [size =\"6220800\"]\n  5 [size=\"41148416\", alpha=\"0.18\", expect_size=\"20574208\"] \n  5 -> 27 [size =\"20574208\"]\n  5 -> 29 [size =\"20574208\"]\n  6 [size=\"72839168\", alpha=\"0.04\", expect_size=\"36419584\"] \n  6 -> 29 [size =\"36419584\"]\n  6 -> 30 [size =\"36419584\"]\n  7 [size=\"62375936\", alpha=\"0.04\", expect_size=\"31187968\"] \n  7 -> 28 [size =\"31187968\"]\n  7 -> 29 [size =\"31187968\"]\n  8 [size=\"51896320\", alpha=\"0.16\", expect_size=\"25948160\"] \n  8 -> 28 [size =\"25948160\"]\n  8 -> 30 [size =\"25948160\"]\n  9 [size=\"13203456\", alpha=\"0.04\", expect_size=\"6601728\"] \n  9 -> 27 [size =\"6601728\"]\n  9 -> 30 [size =\"6601728\"]\n  10 [size=\"76937216\", alpha=\"0.19\", expect_size=\"38468608\"] \n  10 -> 29 [size =\"38468608\"]\n  11 [size=\"74194944\", alpha=\"0.09\", expect_size=\"37097472\"] \n  11 -> 27 [size =\"37097472\"]\n  11 -> 30 [size =\"37097472\"]\n  12 [size=\"26087424\", alpha=\"0.10\", expect_size=\"13043712\"] \n  12 -> 27 [size =\"13043712\"]\n  12 -> 30 [size =\"13043712\"]\n  13 [size=\"86556672\", alpha=\"0.09\", expect_size=\"43278336\"] \n  13 -> 27 [size =\"43278336\"]\n  13 -> 28 [size =\"43278336\"]\n  13 -> 30 [size =\"43278336\"]\n  14 [size=\"45246464\", alpha=\"0.13\", expect_size=\"22623232\"] \n  14 -> 30 [size =\"22623232\"]\n  15 [size=\"40593408\", alpha=\"0.03\", expect_size=\"20296704\"] \n  15 -> 28 [size =\"20296704\"]\n  15 -> 30 [size =\"20296704\"]\n  16 [size=\"33021952\", alpha=\"0.17\", expect_size=\"16510976\"] \n  16 -> 28 [size =\"16510976\"]\n  17 [size=\"51159040\", alpha=\"0.09\", expect_size=\"25579520\"] \n  17 -> 28 [size =\"25579520\"]\n  18 [size=\"71485440\", alpha=\"0.14\", expect_size=\"35742720\"] \n  18 -> 30 [size =\"35742720\"]\n  19 [size=\"53706752\", alpha=\"0.13\", expect_size=\"26853376\"] \n  20 [size=\"73713664\", alpha=\"0.04\", expect_size=\"36856832\"] \n  20 -> 27 [size =\"36856832\"]\n  20 -> 30 [size =\"36856832\"]\n  21 [size=\"70922240\", alpha=\"0.08\", expect_size=\"35461120\"] \n  21 -> 27 [size =\"35461120\"]\n  21 -> 28 [size =\"35461120\"]\n  21 -> 30 [size =\"35461120\"]\n  22 [size=\"19251200\", alpha=\"0.14\", expect_size=\"9625600\"] \n  22 -> 27 [size =\"9625600\"]\n  22 -> 30 [size =\"9625600\"]\n  22 -> 30 [size =\"9625600\"]\n  23 [size=\"64389120\", alpha=\"0.01\", expect_size=\"32194560\"] \n  23 -> 29 [size =\"32194560\"]\n  23 -> 30 [size =\"32194560\"]\n  24 [size=\"14684160\", alpha=\"0.09\", expect_size=\"7342080\"] \n  24 -> 27 [size =\"7342080\"]\n  24 -> 28 [size =\"7342080\"]\n  24 -> 29 [size =\"7342080\"]\n  24 -> 30 [size =\"7342080\"]\n  25 [size=\"75862016\", alpha=\"0.03\", expect_size=\"37931008\"] \n  25 -> 27 [size =\"37931008\"]\n  25 -> 29 [size =\"37931008\"]\n  25 -> 29 [size =\"37931008\"]\n  25 -> 30 [size =\"37931008\"]\n  26 [size=\"87875584\", alpha=\"0.10\", expect_size=\"43937792\"] \n  26 -> 27 [size =\"43937792\"]\n  26 -> 30 [size =\"43937792\"]\n  27 [size=\"74633216\", alpha=\"0.09\", expect_size=\"37316608\"] \n  28 [size=\"24242176\", alpha=\"0.16\", expect_size=\"12121088\"] \n  29 [size=\"88819712\", alpha=\"0.03\", expect_size=\"44409856\"] \n  30 [size=\"57966592\", alpha=\"0.05\", expect_size=\"28983296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43950080\", alpha=\"0.05\", expect_size=\"21975040\"] \n  1 -> 13 [size =\"21975040\"]\n  1 -> 14 [size =\"21975040\"]\n  1 -> 15 [size =\"21975040\"]\n  1 -> 17 [size =\"21975040\"]\n  1 -> 18 [size =\"21975040\"]\n  2 [size=\"79040512\", alpha=\"0.13\", expect_size=\"39520256\"] \n  2 -> 10 [size =\"39520256\"]\n  2 -> 12 [size =\"39520256\"]\n  2 -> 13 [size =\"39520256\"]\n  2 -> 16 [size =\"39520256\"]\n  2 -> 18 [size =\"39520256\"]\n  3 [size=\"64854016\", alpha=\"0.09\", expect_size=\"32427008\"] \n  3 -> 13 [size =\"32427008\"]\n  3 -> 14 [size =\"32427008\"]\n  3 -> 15 [size =\"32427008\"]\n  3 -> 17 [size =\"32427008\"]\n  3 -> 18 [size =\"32427008\"]\n  4 [size=\"15044608\", alpha=\"0.08\", expect_size=\"7522304\"] \n  4 -> 13 [size =\"7522304\"]\n  4 -> 15 [size =\"7522304\"]\n  4 -> 15 [size =\"7522304\"]\n  4 -> 18 [size =\"7522304\"]\n  5 [size=\"83728384\", alpha=\"0.02\", expect_size=\"41864192\"] \n  5 -> 10 [size =\"41864192\"]\n  5 -> 13 [size =\"41864192\"]\n  5 -> 17 [size =\"41864192\"]\n  5 -> 18 [size =\"41864192\"]\n  6 [size=\"58421248\", alpha=\"0.04\", expect_size=\"29210624\"] \n  6 -> 10 [size =\"29210624\"]\n  6 -> 15 [size =\"29210624\"]\n  7 [size=\"21045248\", alpha=\"0.13\", expect_size=\"10522624\"] \n  7 -> 10 [size =\"10522624\"]\n  7 -> 11 [size =\"10522624\"]\n  7 -> 12 [size =\"10522624\"]\n  7 -> 13 [size =\"10522624\"]\n  7 -> 15 [size =\"10522624\"]\n  8 [size=\"35000320\", alpha=\"0.07\", expect_size=\"17500160\"] \n  8 -> 10 [size =\"17500160\"]\n  8 -> 13 [size =\"17500160\"]\n  8 -> 15 [size =\"17500160\"]\n  8 -> 18 [size =\"17500160\"]\n  9 [size=\"46823424\", alpha=\"0.15\", expect_size=\"23411712\"] \n  9 -> 12 [size =\"23411712\"]\n  9 -> 15 [size =\"23411712\"]\n  9 -> 16 [size =\"23411712\"]\n  9 -> 17 [size =\"23411712\"]\n  10 [size=\"91496448\", alpha=\"0.10\", expect_size=\"45748224\"] \n  10 -> 19 [size =\"45748224\"]\n  10 -> 23 [size =\"45748224\"]\n  10 -> 24 [size =\"45748224\"]\n  10 -> 26 [size =\"45748224\"]\n  10 -> 27 [size =\"45748224\"]\n  10 -> 28 [size =\"45748224\"]\n  11 [size=\"102840320\", alpha=\"0.11\", expect_size=\"51420160\"] \n  11 -> 19 [size =\"51420160\"]\n  11 -> 20 [size =\"51420160\"]\n  11 -> 21 [size =\"51420160\"]\n  11 -> 23 [size =\"51420160\"]\n  11 -> 24 [size =\"51420160\"]\n  11 -> 26 [size =\"51420160\"]\n  11 -> 27 [size =\"51420160\"]\n  12 [size=\"31637504\", alpha=\"0.15\", expect_size=\"15818752\"] \n  12 -> 21 [size =\"15818752\"]\n  12 -> 23 [size =\"15818752\"]\n  12 -> 24 [size =\"15818752\"]\n  12 -> 26 [size =\"15818752\"]\n  12 -> 28 [size =\"15818752\"]\n  13 [size=\"94074880\", alpha=\"0.02\", expect_size=\"47037440\"] \n  13 -> 19 [size =\"47037440\"]\n  13 -> 21 [size =\"47037440\"]\n  13 -> 22 [size =\"47037440\"]\n  13 -> 23 [size =\"47037440\"]\n  13 -> 24 [size =\"47037440\"]\n  13 -> 25 [size =\"47037440\"]\n  13 -> 26 [size =\"47037440\"]\n  13 -> 27 [size =\"47037440\"]\n  13 -> 28 [size =\"47037440\"]\n  14 [size=\"44478464\", alpha=\"0.08\", expect_size=\"22239232\"] \n  14 -> 19 [size =\"22239232\"]\n  14 -> 22 [size =\"22239232\"]\n  14 -> 23 [size =\"22239232\"]\n  14 -> 24 [size =\"22239232\"]\n  14 -> 24 [size =\"22239232\"]\n  14 -> 25 [size =\"22239232\"]\n  14 -> 26 [size =\"22239232\"]\n  15 [size=\"81715200\", alpha=\"0.11\", expect_size=\"40857600\"] \n  15 -> 19 [size =\"40857600\"]\n  15 -> 21 [size =\"40857600\"]\n  15 -> 23 [size =\"40857600\"]\n  15 -> 24 [size =\"40857600\"]\n  15 -> 25 [size =\"40857600\"]\n  15 -> 25 [size =\"40857600\"]\n  15 -> 27 [size =\"40857600\"]\n  15 -> 28 [size =\"40857600\"]\n  16 [size=\"92528640\", alpha=\"0.15\", expect_size=\"46264320\"] \n  16 -> 19 [size =\"46264320\"]\n  16 -> 21 [size =\"46264320\"]\n  16 -> 23 [size =\"46264320\"]\n  17 [size=\"17960960\", alpha=\"0.08\", expect_size=\"8980480\"] \n  17 -> 19 [size =\"8980480\"]\n  17 -> 22 [size =\"8980480\"]\n  17 -> 26 [size =\"8980480\"]\n  17 -> 28 [size =\"8980480\"]\n  18 [size=\"81330176\", alpha=\"0.17\", expect_size=\"40665088\"] \n  18 -> 19 [size =\"40665088\"]\n  18 -> 23 [size =\"40665088\"]\n  18 -> 24 [size =\"40665088\"]\n  18 -> 26 [size =\"40665088\"]\n  18 -> 27 [size =\"40665088\"]\n  18 -> 28 [size =\"40665088\"]\n  19 [size=\"22122496\", alpha=\"0.04\", expect_size=\"11061248\"] \n  19 -> 29 [size =\"11061248\"]\n  20 [size=\"93372416\", alpha=\"0.16\", expect_size=\"46686208\"] \n  20 -> 29 [size =\"46686208\"]\n  21 [size=\"47304704\", alpha=\"0.15\", expect_size=\"23652352\"] \n  21 -> 29 [size =\"23652352\"]\n  22 [size=\"100200448\", alpha=\"0.09\", expect_size=\"50100224\"] \n  23 [size=\"75327488\", alpha=\"0.14\", expect_size=\"37663744\"] \n  23 -> 29 [size =\"37663744\"]\n  24 [size=\"82587648\", alpha=\"0.01\", expect_size=\"41293824\"] \n  25 [size=\"24080384\", alpha=\"0.02\", expect_size=\"12040192\"] \n  25 -> 29 [size =\"12040192\"]\n  26 [size=\"77215744\", alpha=\"0.15\", expect_size=\"38607872\"] \n  26 -> 29 [size =\"38607872\"]\n  27 [size=\"53608448\", alpha=\"0.09\", expect_size=\"26804224\"] \n  27 -> 29 [size =\"26804224\"]\n  28 [size=\"93374464\", alpha=\"0.08\", expect_size=\"46687232\"] \n  28 -> 29 [size =\"46687232\"]\n  28 -> 30 [size =\"46687232\"]\n  29 [size=\"79972352\", alpha=\"0.15\", expect_size=\"39986176\"] \n  30 [size=\"96532480\", alpha=\"0.20\", expect_size=\"48266240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152364373\", alpha=\"0.14\", expect_size=\"45709312\"] \n  1 -> 25 [size =\"45709312\"]\n  1 -> 27 [size =\"45709312\"]\n  1 -> 27 [size =\"45709312\"]\n  1 -> 28 [size =\"45709312\"]\n  2 [size=\"172424533\", alpha=\"0.06\", expect_size=\"51727360\"] \n  2 -> 25 [size =\"51727360\"]\n  2 -> 26 [size =\"51727360\"]\n  2 -> 27 [size =\"51727360\"]\n  2 -> 28 [size =\"51727360\"]\n  3 [size=\"140315307\", alpha=\"0.12\", expect_size=\"42094592\"] \n  3 -> 25 [size =\"42094592\"]\n  3 -> 26 [size =\"42094592\"]\n  3 -> 27 [size =\"42094592\"]\n  3 -> 28 [size =\"42094592\"]\n  3 -> 30 [size =\"42094592\"]\n  4 [size=\"42263893\", alpha=\"0.03\", expect_size=\"12679168\"] \n  4 -> 25 [size =\"12679168\"]\n  4 -> 26 [size =\"12679168\"]\n  4 -> 27 [size =\"12679168\"]\n  4 -> 28 [size =\"12679168\"]\n  5 [size=\"61317120\", alpha=\"0.03\", expect_size=\"18395136\"] \n  5 -> 25 [size =\"18395136\"]\n  5 -> 26 [size =\"18395136\"]\n  5 -> 27 [size =\"18395136\"]\n  5 -> 28 [size =\"18395136\"]\n  5 -> 30 [size =\"18395136\"]\n  6 [size=\"49401173\", alpha=\"0.06\", expect_size=\"14820352\"] \n  6 -> 25 [size =\"14820352\"]\n  6 -> 28 [size =\"14820352\"]\n  6 -> 30 [size =\"14820352\"]\n  7 [size=\"68096000\", alpha=\"0.00\", expect_size=\"20428800\"] \n  7 -> 25 [size =\"20428800\"]\n  7 -> 27 [size =\"20428800\"]\n  7 -> 28 [size =\"20428800\"]\n  8 [size=\"80817493\", alpha=\"0.04\", expect_size=\"24245248\"] \n  8 -> 28 [size =\"24245248\"]\n  8 -> 30 [size =\"24245248\"]\n  9 [size=\"71516160\", alpha=\"0.11\", expect_size=\"21454848\"] \n  9 -> 25 [size =\"21454848\"]\n  9 -> 28 [size =\"21454848\"]\n  9 -> 30 [size =\"21454848\"]\n  10 [size=\"163877547\", alpha=\"0.05\", expect_size=\"49163264\"] \n  10 -> 25 [size =\"49163264\"]\n  10 -> 26 [size =\"49163264\"]\n  10 -> 27 [size =\"49163264\"]\n  10 -> 28 [size =\"49163264\"]\n  10 -> 30 [size =\"49163264\"]\n  11 [size=\"103785813\", alpha=\"0.10\", expect_size=\"31135744\"] \n  11 -> 25 [size =\"31135744\"]\n  11 -> 26 [size =\"31135744\"]\n  11 -> 27 [size =\"31135744\"]\n  11 -> 28 [size =\"31135744\"]\n  11 -> 30 [size =\"31135744\"]\n  12 [size=\"59750400\", alpha=\"0.09\", expect_size=\"17925120\"] \n  12 -> 25 [size =\"17925120\"]\n  12 -> 26 [size =\"17925120\"]\n  12 -> 27 [size =\"17925120\"]\n  12 -> 28 [size =\"17925120\"]\n  13 [size=\"109025280\", alpha=\"0.06\", expect_size=\"32707584\"] \n  13 -> 25 [size =\"32707584\"]\n  13 -> 27 [size =\"32707584\"]\n  13 -> 28 [size =\"32707584\"]\n  13 -> 28 [size =\"32707584\"]\n  13 -> 30 [size =\"32707584\"]\n  14 [size=\"44704427\", alpha=\"0.11\", expect_size=\"13411328\"] \n  14 -> 25 [size =\"13411328\"]\n  14 -> 27 [size =\"13411328\"]\n  14 -> 28 [size =\"13411328\"]\n  15 [size=\"67816107\", alpha=\"0.07\", expect_size=\"20344832\"] \n  15 -> 25 [size =\"20344832\"]\n  15 -> 26 [size =\"20344832\"]\n  15 -> 28 [size =\"20344832\"]\n  16 [size=\"88763733\", alpha=\"0.07\", expect_size=\"26629120\"] \n  16 -> 25 [size =\"26629120\"]\n  16 -> 26 [size =\"26629120\"]\n  16 -> 27 [size =\"26629120\"]\n  16 -> 28 [size =\"26629120\"]\n  17 [size=\"139714560\", alpha=\"0.13\", expect_size=\"41914368\"] \n  17 -> 25 [size =\"41914368\"]\n  17 -> 26 [size =\"41914368\"]\n  17 -> 28 [size =\"41914368\"]\n  17 -> 28 [size =\"41914368\"]\n  17 -> 30 [size =\"41914368\"]\n  18 [size=\"140950187\", alpha=\"0.15\", expect_size=\"42285056\"] \n  18 -> 25 [size =\"42285056\"]\n  18 -> 30 [size =\"42285056\"]\n  19 [size=\"173393920\", alpha=\"0.10\", expect_size=\"52018176\"] \n  19 -> 25 [size =\"52018176\"]\n  19 -> 27 [size =\"52018176\"]\n  19 -> 28 [size =\"52018176\"]\n  19 -> 30 [size =\"52018176\"]\n  20 [size=\"103379627\", alpha=\"0.19\", expect_size=\"31013888\"] \n  20 -> 25 [size =\"31013888\"]\n  20 -> 27 [size =\"31013888\"]\n  20 -> 30 [size =\"31013888\"]\n  21 [size=\"141291520\", alpha=\"0.06\", expect_size=\"42387456\"] \n  21 -> 25 [size =\"42387456\"]\n  21 -> 26 [size =\"42387456\"]\n  21 -> 27 [size =\"42387456\"]\n  22 [size=\"62112427\", alpha=\"0.12\", expect_size=\"18633728\"] \n  22 -> 27 [size =\"18633728\"]\n  22 -> 28 [size =\"18633728\"]\n  22 -> 29 [size =\"18633728\"]\n  23 [size=\"134171307\", alpha=\"0.13\", expect_size=\"40251392\"] \n  23 -> 26 [size =\"40251392\"]\n  23 -> 27 [size =\"40251392\"]\n  23 -> 30 [size =\"40251392\"]\n  24 [size=\"21200213\", alpha=\"0.18\", expect_size=\"6360064\"] \n  24 -> 25 [size =\"6360064\"]\n  24 -> 26 [size =\"6360064\"]\n  24 -> 27 [size =\"6360064\"]\n  24 -> 28 [size =\"6360064\"]\n  25 [size=\"107694080\", alpha=\"0.09\", expect_size=\"32308224\"] \n  26 [size=\"163218773\", alpha=\"0.03\", expect_size=\"48965632\"] \n  27 [size=\"59593387\", alpha=\"0.04\", expect_size=\"17878016\"] \n  28 [size=\"160911360\", alpha=\"0.13\", expect_size=\"48273408\"] \n  29 [size=\"122630827\", alpha=\"0.09\", expect_size=\"36789248\"] \n  30 [size=\"43779413\", alpha=\"0.03\", expect_size=\"13133824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55816192\", alpha=\"0.19\", expect_size=\"27908096\"] \n  1 -> 2 [size =\"27908096\"]\n  2 [size=\"25696256\", alpha=\"0.14\", expect_size=\"12848128\"] \n  2 -> 3 [size =\"12848128\"]\n  2 -> 4 [size =\"12848128\"]\n  3 [size=\"37120000\", alpha=\"0.15\", expect_size=\"18560000\"] \n  3 -> 5 [size =\"18560000\"]\n  4 [size=\"65316864\", alpha=\"0.03\", expect_size=\"32658432\"] \n  5 [size=\"13236224\", alpha=\"0.11\", expect_size=\"6618112\"] \n  5 -> 6 [size =\"6618112\"]\n  5 -> 7 [size =\"6618112\"]\n  6 [size=\"69193728\", alpha=\"0.05\", expect_size=\"34596864\"] \n  6 -> 8 [size =\"34596864\"]\n  6 -> 9 [size =\"34596864\"]\n  7 [size=\"13428736\", alpha=\"0.05\", expect_size=\"6714368\"] \n  8 [size=\"24463360\", alpha=\"0.07\", expect_size=\"12231680\"] \n  8 -> 10 [size =\"12231680\"]\n  9 [size=\"48885760\", alpha=\"0.01\", expect_size=\"24442880\"] \n  9 -> 11 [size =\"24442880\"]\n  10 [size=\"96675840\", alpha=\"0.09\", expect_size=\"48337920\"] \n  11 [size=\"64557056\", alpha=\"0.08\", expect_size=\"32278528\"] \n  11 -> 12 [size =\"32278528\"]\n  12 [size=\"57769984\", alpha=\"0.20\", expect_size=\"28884992\"] \n  12 -> 13 [size =\"28884992\"]\n  12 -> 14 [size =\"28884992\"]\n  13 [size=\"27803648\", alpha=\"0.03\", expect_size=\"13901824\"] \n  14 [size=\"99635200\", alpha=\"0.07\", expect_size=\"49817600\"] \n  14 -> 15 [size =\"49817600\"]\n  15 [size=\"21164032\", alpha=\"0.11\", expect_size=\"10582016\"] \n  15 -> 16 [size =\"10582016\"]\n  16 [size=\"74909696\", alpha=\"0.13\", expect_size=\"37454848\"] \n  16 -> 17 [size =\"37454848\"]\n  16 -> 18 [size =\"37454848\"]\n  17 [size=\"99397632\", alpha=\"0.14\", expect_size=\"49698816\"] \n  18 [size=\"29573120\", alpha=\"0.14\", expect_size=\"14786560\"] \n  18 -> 19 [size =\"14786560\"]\n  19 [size=\"61677568\", alpha=\"0.10\", expect_size=\"30838784\"] \n  19 -> 20 [size =\"30838784\"]\n  20 [size=\"68634624\", alpha=\"0.10\", expect_size=\"34317312\"] \n  20 -> 21 [size =\"34317312\"]\n  20 -> 22 [size =\"34317312\"]\n  21 [size=\"17844224\", alpha=\"0.00\", expect_size=\"8922112\"] \n  21 -> 24 [size =\"8922112\"]\n  22 [size=\"54601728\", alpha=\"0.14\", expect_size=\"27300864\"] \n  22 -> 23 [size =\"27300864\"]\n  23 [size=\"52768768\", alpha=\"0.13\", expect_size=\"26384384\"] \n  24 [size=\"65685504\", alpha=\"0.03\", expect_size=\"32842752\"] \n  24 -> 25 [size =\"32842752\"]\n  24 -> 26 [size =\"32842752\"]\n  25 [size=\"99481600\", alpha=\"0.15\", expect_size=\"49740800\"] \n  26 [size=\"56776704\", alpha=\"0.18\", expect_size=\"28388352\"] \n  26 -> 27 [size =\"28388352\"]\n  27 [size=\"25606144\", alpha=\"0.02\", expect_size=\"12803072\"] \n  27 -> 28 [size =\"12803072\"]\n  28 [size=\"90822656\", alpha=\"0.10\", expect_size=\"45411328\"] \n  28 -> 29 [size =\"45411328\"]\n  28 -> 30 [size =\"45411328\"]\n  29 [size=\"62726144\", alpha=\"0.05\", expect_size=\"31363072\"] \n  30 [size=\"14161920\", alpha=\"0.19\", expect_size=\"7080960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53622784\", alpha=\"0.08\", expect_size=\"26811392\"] \n  1 -> 13 [size =\"26811392\"]\n  1 -> 15 [size =\"26811392\"]\n  2 [size=\"104349696\", alpha=\"0.03\", expect_size=\"52174848\"] \n  2 -> 9 [size =\"52174848\"]\n  2 -> 15 [size =\"52174848\"]\n  3 [size=\"69992448\", alpha=\"0.08\", expect_size=\"34996224\"] \n  3 -> 7 [size =\"34996224\"]\n  3 -> 16 [size =\"34996224\"]\n  3 -> 17 [size =\"34996224\"]\n  3 -> 18 [size =\"34996224\"]\n  4 [size=\"44091392\", alpha=\"0.13\", expect_size=\"22045696\"] \n  4 -> 8 [size =\"22045696\"]\n  4 -> 10 [size =\"22045696\"]\n  4 -> 11 [size =\"22045696\"]\n  4 -> 17 [size =\"22045696\"]\n  4 -> 18 [size =\"22045696\"]\n  5 [size=\"44673024\", alpha=\"0.15\", expect_size=\"22336512\"] \n  5 -> 8 [size =\"22336512\"]\n  5 -> 12 [size =\"22336512\"]\n  5 -> 14 [size =\"22336512\"]\n  5 -> 15 [size =\"22336512\"]\n  5 -> 16 [size =\"22336512\"]\n  6 [size=\"55283712\", alpha=\"0.10\", expect_size=\"27641856\"] \n  6 -> 10 [size =\"27641856\"]\n  6 -> 12 [size =\"27641856\"]\n  6 -> 18 [size =\"27641856\"]\n  7 [size=\"41009152\", alpha=\"0.11\", expect_size=\"20504576\"] \n  7 -> 20 [size =\"20504576\"]\n  7 -> 23 [size =\"20504576\"]\n  7 -> 24 [size =\"20504576\"]\n  7 -> 26 [size =\"20504576\"]\n  8 [size=\"69830656\", alpha=\"0.11\", expect_size=\"34915328\"] \n  8 -> 21 [size =\"34915328\"]\n  9 [size=\"98398208\", alpha=\"0.19\", expect_size=\"49199104\"] \n  9 -> 19 [size =\"49199104\"]\n  9 -> 25 [size =\"49199104\"]\n  10 [size=\"15448064\", alpha=\"0.10\", expect_size=\"7724032\"] \n  10 -> 19 [size =\"7724032\"]\n  10 -> 20 [size =\"7724032\"]\n  10 -> 28 [size =\"7724032\"]\n  11 [size=\"18984960\", alpha=\"0.17\", expect_size=\"9492480\"] \n  11 -> 20 [size =\"9492480\"]\n  11 -> 20 [size =\"9492480\"]\n  11 -> 24 [size =\"9492480\"]\n  11 -> 26 [size =\"9492480\"]\n  11 -> 27 [size =\"9492480\"]\n  12 [size=\"57434112\", alpha=\"0.17\", expect_size=\"28717056\"] \n  12 -> 20 [size =\"28717056\"]\n  12 -> 23 [size =\"28717056\"]\n  12 -> 26 [size =\"28717056\"]\n  12 -> 27 [size =\"28717056\"]\n  13 [size=\"72941568\", alpha=\"0.14\", expect_size=\"36470784\"] \n  13 -> 19 [size =\"36470784\"]\n  13 -> 20 [size =\"36470784\"]\n  13 -> 23 [size =\"36470784\"]\n  13 -> 25 [size =\"36470784\"]\n  13 -> 26 [size =\"36470784\"]\n  13 -> 27 [size =\"36470784\"]\n  13 -> 28 [size =\"36470784\"]\n  14 [size=\"14030848\", alpha=\"0.18\", expect_size=\"7015424\"] \n  14 -> 19 [size =\"7015424\"]\n  14 -> 26 [size =\"7015424\"]\n  14 -> 27 [size =\"7015424\"]\n  15 [size=\"74833920\", alpha=\"0.04\", expect_size=\"37416960\"] \n  15 -> 19 [size =\"37416960\"]\n  16 [size=\"52584448\", alpha=\"0.06\", expect_size=\"26292224\"] \n  16 -> 19 [size =\"26292224\"]\n  16 -> 22 [size =\"26292224\"]\n  17 [size=\"102000640\", alpha=\"0.14\", expect_size=\"51000320\"] \n  17 -> 25 [size =\"51000320\"]\n  17 -> 26 [size =\"51000320\"]\n  17 -> 28 [size =\"51000320\"]\n  18 [size=\"58128384\", alpha=\"0.17\", expect_size=\"29064192\"] \n  18 -> 23 [size =\"29064192\"]\n  18 -> 27 [size =\"29064192\"]\n  18 -> 28 [size =\"29064192\"]\n  19 [size=\"13664256\", alpha=\"0.11\", expect_size=\"6832128\"] \n  20 [size=\"101523456\", alpha=\"0.00\", expect_size=\"50761728\"] \n  20 -> 30 [size =\"50761728\"]\n  21 [size=\"54302720\", alpha=\"0.19\", expect_size=\"27151360\"] \n  22 [size=\"41900032\", alpha=\"0.17\", expect_size=\"20950016\"] \n  22 -> 29 [size =\"20950016\"]\n  23 [size=\"29829120\", alpha=\"0.08\", expect_size=\"14914560\"] \n  24 [size=\"93812736\", alpha=\"0.06\", expect_size=\"46906368\"] \n  25 [size=\"86634496\", alpha=\"0.11\", expect_size=\"43317248\"] \n  26 [size=\"104093696\", alpha=\"0.06\", expect_size=\"52046848\"] \n  26 -> 29 [size =\"52046848\"]\n  26 -> 30 [size =\"52046848\"]\n  27 [size=\"37799936\", alpha=\"0.07\", expect_size=\"18899968\"] \n  27 -> 30 [size =\"18899968\"]\n  28 [size=\"102569984\", alpha=\"0.01\", expect_size=\"51284992\"] \n  29 [size=\"90394624\", alpha=\"0.13\", expect_size=\"45197312\"] \n  30 [size=\"48846848\", alpha=\"0.06\", expect_size=\"24423424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111019520\", alpha=\"0.13\", expect_size=\"44407808\"] \n  1 -> 13 [size =\"44407808\"]\n  1 -> 15 [size =\"44407808\"]\n  1 -> 17 [size =\"44407808\"]\n  2 [size=\"82775040\", alpha=\"0.07\", expect_size=\"33110016\"] \n  2 -> 11 [size =\"33110016\"]\n  2 -> 12 [size =\"33110016\"]\n  2 -> 13 [size =\"33110016\"]\n  2 -> 17 [size =\"33110016\"]\n  3 [size=\"31590400\", alpha=\"0.04\", expect_size=\"12636160\"] \n  3 -> 11 [size =\"12636160\"]\n  4 [size=\"127344640\", alpha=\"0.01\", expect_size=\"50937856\"] \n  4 -> 15 [size =\"50937856\"]\n  4 -> 16 [size =\"50937856\"]\n  5 [size=\"99942400\", alpha=\"0.13\", expect_size=\"39976960\"] \n  5 -> 10 [size =\"39976960\"]\n  5 -> 11 [size =\"39976960\"]\n  5 -> 13 [size =\"39976960\"]\n  5 -> 15 [size =\"39976960\"]\n  5 -> 18 [size =\"39976960\"]\n  6 [size=\"108805120\", alpha=\"0.13\", expect_size=\"43522048\"] \n  6 -> 11 [size =\"43522048\"]\n  6 -> 13 [size =\"43522048\"]\n  6 -> 14 [size =\"43522048\"]\n  6 -> 17 [size =\"43522048\"]\n  7 [size=\"41960960\", alpha=\"0.10\", expect_size=\"16784384\"] \n  7 -> 13 [size =\"16784384\"]\n  7 -> 14 [size =\"16784384\"]\n  7 -> 17 [size =\"16784384\"]\n  8 [size=\"84615680\", alpha=\"0.19\", expect_size=\"33846272\"] \n  8 -> 11 [size =\"33846272\"]\n  8 -> 12 [size =\"33846272\"]\n  8 -> 16 [size =\"33846272\"]\n  8 -> 17 [size =\"33846272\"]\n  9 [size=\"88496640\", alpha=\"0.14\", expect_size=\"35398656\"] \n  9 -> 11 [size =\"35398656\"]\n  9 -> 13 [size =\"35398656\"]\n  10 [size=\"128860160\", alpha=\"0.17\", expect_size=\"51544064\"] \n  10 -> 19 [size =\"51544064\"]\n  10 -> 20 [size =\"51544064\"]\n  10 -> 23 [size =\"51544064\"]\n  10 -> 25 [size =\"51544064\"]\n  10 -> 26 [size =\"51544064\"]\n  10 -> 27 [size =\"51544064\"]\n  11 [size=\"91450880\", alpha=\"0.04\", expect_size=\"36580352\"] \n  11 -> 20 [size =\"36580352\"]\n  11 -> 24 [size =\"36580352\"]\n  12 [size=\"48458240\", alpha=\"0.16\", expect_size=\"19383296\"] \n  12 -> 22 [size =\"19383296\"]\n  12 -> 26 [size =\"19383296\"]\n  12 -> 27 [size =\"19383296\"]\n  13 [size=\"88665600\", alpha=\"0.09\", expect_size=\"35466240\"] \n  13 -> 23 [size =\"35466240\"]\n  13 -> 24 [size =\"35466240\"]\n  13 -> 27 [size =\"35466240\"]\n  14 [size=\"110699520\", alpha=\"0.13\", expect_size=\"44279808\"] \n  14 -> 21 [size =\"44279808\"]\n  14 -> 22 [size =\"44279808\"]\n  14 -> 23 [size =\"44279808\"]\n  14 -> 24 [size =\"44279808\"]\n  14 -> 27 [size =\"44279808\"]\n  15 [size=\"119365120\", alpha=\"0.09\", expect_size=\"47746048\"] \n  15 -> 20 [size =\"47746048\"]\n  15 -> 23 [size =\"47746048\"]\n  16 [size=\"79531520\", alpha=\"0.05\", expect_size=\"31812608\"] \n  16 -> 20 [size =\"31812608\"]\n  17 [size=\"37749760\", alpha=\"0.08\", expect_size=\"15099904\"] \n  17 -> 20 [size =\"15099904\"]\n  17 -> 21 [size =\"15099904\"]\n  17 -> 22 [size =\"15099904\"]\n  17 -> 24 [size =\"15099904\"]\n  18 [size=\"97955840\", alpha=\"0.20\", expect_size=\"39182336\"] \n  18 -> 22 [size =\"39182336\"]\n  18 -> 23 [size =\"39182336\"]\n  18 -> 27 [size =\"39182336\"]\n  19 [size=\"90718720\", alpha=\"0.07\", expect_size=\"36287488\"] \n  19 -> 29 [size =\"36287488\"]\n  19 -> 30 [size =\"36287488\"]\n  20 [size=\"53568000\", alpha=\"0.15\", expect_size=\"21427200\"] \n  20 -> 30 [size =\"21427200\"]\n  20 -> 30 [size =\"21427200\"]\n  21 [size=\"37368320\", alpha=\"0.01\", expect_size=\"14947328\"] \n  21 -> 29 [size =\"14947328\"]\n  22 [size=\"58321920\", alpha=\"0.18\", expect_size=\"23328768\"] \n  22 -> 29 [size =\"23328768\"]\n  22 -> 30 [size =\"23328768\"]\n  23 [size=\"34411520\", alpha=\"0.18\", expect_size=\"13764608\"] \n  24 [size=\"85509120\", alpha=\"0.18\", expect_size=\"34203648\"] \n  24 -> 29 [size =\"34203648\"]\n  24 -> 30 [size =\"34203648\"]\n  25 [size=\"46545920\", alpha=\"0.12\", expect_size=\"18618368\"] \n  25 -> 28 [size =\"18618368\"]\n  26 [size=\"101772800\", alpha=\"0.03\", expect_size=\"40709120\"] \n  26 -> 28 [size =\"40709120\"]\n  27 [size=\"129623040\", alpha=\"0.18\", expect_size=\"51849216\"] \n  27 -> 29 [size =\"51849216\"]\n  28 [size=\"56481280\", alpha=\"0.06\", expect_size=\"22592512\"] \n  29 [size=\"56448000\", alpha=\"0.06\", expect_size=\"22579200\"] \n  30 [size=\"95961600\", alpha=\"0.06\", expect_size=\"38384640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45893120\", alpha=\"0.08\", expect_size=\"18357248\"] \n  1 -> 6 [size =\"18357248\"]\n  1 -> 8 [size =\"18357248\"]\n  2 [size=\"54407680\", alpha=\"0.15\", expect_size=\"21763072\"] \n  2 -> 6 [size =\"21763072\"]\n  2 -> 8 [size =\"21763072\"]\n  2 -> 9 [size =\"21763072\"]\n  3 [size=\"35883520\", alpha=\"0.15\", expect_size=\"14353408\"] \n  3 -> 6 [size =\"14353408\"]\n  3 -> 7 [size =\"14353408\"]\n  3 -> 8 [size =\"14353408\"]\n  3 -> 9 [size =\"14353408\"]\n  4 [size=\"59166720\", alpha=\"0.13\", expect_size=\"23666688\"] \n  4 -> 6 [size =\"23666688\"]\n  4 -> 7 [size =\"23666688\"]\n  4 -> 8 [size =\"23666688\"]\n  4 -> 9 [size =\"23666688\"]\n  5 [size=\"58086400\", alpha=\"0.02\", expect_size=\"23234560\"] \n  5 -> 6 [size =\"23234560\"]\n  5 -> 7 [size =\"23234560\"]\n  5 -> 8 [size =\"23234560\"]\n  5 -> 9 [size =\"23234560\"]\n  6 [size=\"56896000\", alpha=\"0.07\", expect_size=\"22758400\"] \n  6 -> 11 [size =\"22758400\"]\n  6 -> 12 [size =\"22758400\"]\n  6 -> 12 [size =\"22758400\"]\n  6 -> 13 [size =\"22758400\"]\n  6 -> 14 [size =\"22758400\"]\n  7 [size=\"53870080\", alpha=\"0.19\", expect_size=\"21548032\"] \n  7 -> 11 [size =\"21548032\"]\n  7 -> 12 [size =\"21548032\"]\n  7 -> 13 [size =\"21548032\"]\n  7 -> 14 [size =\"21548032\"]\n  8 [size=\"126673920\", alpha=\"0.11\", expect_size=\"50669568\"] \n  8 -> 11 [size =\"50669568\"]\n  8 -> 13 [size =\"50669568\"]\n  8 -> 14 [size =\"50669568\"]\n  9 [size=\"82741760\", alpha=\"0.07\", expect_size=\"33096704\"] \n  9 -> 10 [size =\"33096704\"]\n  9 -> 11 [size =\"33096704\"]\n  9 -> 12 [size =\"33096704\"]\n  9 -> 14 [size =\"33096704\"]\n  10 [size=\"119833600\", alpha=\"0.02\", expect_size=\"47933440\"] \n  10 -> 15 [size =\"47933440\"]\n  10 -> 16 [size =\"47933440\"]\n  11 [size=\"103334400\", alpha=\"0.04\", expect_size=\"41333760\"] \n  11 -> 15 [size =\"41333760\"]\n  11 -> 16 [size =\"41333760\"]\n  11 -> 17 [size =\"41333760\"]\n  12 [size=\"30108160\", alpha=\"0.08\", expect_size=\"12043264\"] \n  12 -> 15 [size =\"12043264\"]\n  12 -> 17 [size =\"12043264\"]\n  12 -> 17 [size =\"12043264\"]\n  12 -> 18 [size =\"12043264\"]\n  13 [size=\"118599680\", alpha=\"0.10\", expect_size=\"47439872\"] \n  13 -> 16 [size =\"47439872\"]\n  13 -> 17 [size =\"47439872\"]\n  14 [size=\"88320000\", alpha=\"0.16\", expect_size=\"35328000\"] \n  14 -> 15 [size =\"35328000\"]\n  15 [size=\"46266880\", alpha=\"0.01\", expect_size=\"18506752\"] \n  15 -> 19 [size =\"18506752\"]\n  15 -> 20 [size =\"18506752\"]\n  15 -> 22 [size =\"18506752\"]\n  16 [size=\"56934400\", alpha=\"0.06\", expect_size=\"22773760\"] \n  16 -> 19 [size =\"22773760\"]\n  16 -> 20 [size =\"22773760\"]\n  16 -> 21 [size =\"22773760\"]\n  16 -> 23 [size =\"22773760\"]\n  17 [size=\"99770880\", alpha=\"0.06\", expect_size=\"39908352\"] \n  17 -> 19 [size =\"39908352\"]\n  17 -> 20 [size =\"39908352\"]\n  17 -> 21 [size =\"39908352\"]\n  17 -> 23 [size =\"39908352\"]\n  18 [size=\"93327360\", alpha=\"0.14\", expect_size=\"37330944\"] \n  18 -> 19 [size =\"37330944\"]\n  18 -> 22 [size =\"37330944\"]\n  19 [size=\"39808000\", alpha=\"0.12\", expect_size=\"15923200\"] \n  19 -> 24 [size =\"15923200\"]\n  19 -> 25 [size =\"15923200\"]\n  19 -> 26 [size =\"15923200\"]\n  19 -> 27 [size =\"15923200\"]\n  20 [size=\"81914880\", alpha=\"0.06\", expect_size=\"32765952\"] \n  20 -> 24 [size =\"32765952\"]\n  20 -> 26 [size =\"32765952\"]\n  20 -> 26 [size =\"32765952\"]\n  20 -> 27 [size =\"32765952\"]\n  21 [size=\"95475200\", alpha=\"0.04\", expect_size=\"38190080\"] \n  21 -> 24 [size =\"38190080\"]\n  21 -> 25 [size =\"38190080\"]\n  21 -> 28 [size =\"38190080\"]\n  22 [size=\"121789440\", alpha=\"0.10\", expect_size=\"48715776\"] \n  22 -> 25 [size =\"48715776\"]\n  22 -> 27 [size =\"48715776\"]\n  22 -> 28 [size =\"48715776\"]\n  23 [size=\"53893120\", alpha=\"0.00\", expect_size=\"21557248\"] \n  23 -> 25 [size =\"21557248\"]\n  24 [size=\"113937920\", alpha=\"0.18\", expect_size=\"45575168\"] \n  24 -> 29 [size =\"45575168\"]\n  24 -> 30 [size =\"45575168\"]\n  25 [size=\"91804160\", alpha=\"0.03\", expect_size=\"36721664\"] \n  25 -> 30 [size =\"36721664\"]\n  26 [size=\"95774720\", alpha=\"0.15\", expect_size=\"38309888\"] \n  27 [size=\"15820800\", alpha=\"0.15\", expect_size=\"6328320\"] \n  27 -> 29 [size =\"6328320\"]\n  28 [size=\"49241600\", alpha=\"0.14\", expect_size=\"19696640\"] \n  28 -> 29 [size =\"19696640\"]\n  29 [size=\"16215040\", alpha=\"0.04\", expect_size=\"6486016\"] \n  30 [size=\"88040960\", alpha=\"0.13\", expect_size=\"35216384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29366272\", alpha=\"0.07\", expect_size=\"14683136\"] \n  1 -> 10 [size =\"14683136\"]\n  1 -> 13 [size =\"14683136\"]\n  1 -> 14 [size =\"14683136\"]\n  1 -> 15 [size =\"14683136\"]\n  1 -> 16 [size =\"14683136\"]\n  1 -> 19 [size =\"14683136\"]\n  2 [size=\"27760640\", alpha=\"0.10\", expect_size=\"13880320\"] \n  2 -> 10 [size =\"13880320\"]\n  2 -> 12 [size =\"13880320\"]\n  2 -> 15 [size =\"13880320\"]\n  2 -> 16 [size =\"13880320\"]\n  2 -> 19 [size =\"13880320\"]\n  2 -> 19 [size =\"13880320\"]\n  3 [size=\"74520576\", alpha=\"0.20\", expect_size=\"37260288\"] \n  3 -> 10 [size =\"37260288\"]\n  3 -> 11 [size =\"37260288\"]\n  3 -> 12 [size =\"37260288\"]\n  3 -> 15 [size =\"37260288\"]\n  3 -> 17 [size =\"37260288\"]\n  3 -> 19 [size =\"37260288\"]\n  4 [size=\"17606656\", alpha=\"0.10\", expect_size=\"8803328\"] \n  4 -> 10 [size =\"8803328\"]\n  4 -> 12 [size =\"8803328\"]\n  4 -> 13 [size =\"8803328\"]\n  4 -> 15 [size =\"8803328\"]\n  4 -> 16 [size =\"8803328\"]\n  4 -> 19 [size =\"8803328\"]\n  5 [size=\"20258816\", alpha=\"0.01\", expect_size=\"10129408\"] \n  5 -> 11 [size =\"10129408\"]\n  5 -> 12 [size =\"10129408\"]\n  5 -> 13 [size =\"10129408\"]\n  5 -> 15 [size =\"10129408\"]\n  5 -> 16 [size =\"10129408\"]\n  5 -> 19 [size =\"10129408\"]\n  6 [size=\"23699456\", alpha=\"0.15\", expect_size=\"11849728\"] \n  6 -> 10 [size =\"11849728\"]\n  6 -> 12 [size =\"11849728\"]\n  6 -> 13 [size =\"11849728\"]\n  6 -> 14 [size =\"11849728\"]\n  6 -> 15 [size =\"11849728\"]\n  6 -> 16 [size =\"11849728\"]\n  6 -> 17 [size =\"11849728\"]\n  7 [size=\"72427520\", alpha=\"0.20\", expect_size=\"36213760\"] \n  7 -> 10 [size =\"36213760\"]\n  7 -> 12 [size =\"36213760\"]\n  7 -> 14 [size =\"36213760\"]\n  7 -> 14 [size =\"36213760\"]\n  7 -> 15 [size =\"36213760\"]\n  7 -> 16 [size =\"36213760\"]\n  7 -> 18 [size =\"36213760\"]\n  8 [size=\"64477184\", alpha=\"0.07\", expect_size=\"32238592\"] \n  8 -> 10 [size =\"32238592\"]\n  8 -> 11 [size =\"32238592\"]\n  8 -> 12 [size =\"32238592\"]\n  8 -> 14 [size =\"32238592\"]\n  8 -> 15 [size =\"32238592\"]\n  8 -> 16 [size =\"32238592\"]\n  8 -> 17 [size =\"32238592\"]\n  9 [size=\"89081856\", alpha=\"0.09\", expect_size=\"44540928\"] \n  9 -> 12 [size =\"44540928\"]\n  9 -> 14 [size =\"44540928\"]\n  9 -> 17 [size =\"44540928\"]\n  9 -> 19 [size =\"44540928\"]\n  10 [size=\"94791680\", alpha=\"0.14\", expect_size=\"47395840\"] \n  10 -> 21 [size =\"47395840\"]\n  10 -> 22 [size =\"47395840\"]\n  10 -> 23 [size =\"47395840\"]\n  10 -> 25 [size =\"47395840\"]\n  10 -> 27 [size =\"47395840\"]\n  11 [size=\"31082496\", alpha=\"0.19\", expect_size=\"15541248\"] \n  11 -> 20 [size =\"15541248\"]\n  11 -> 26 [size =\"15541248\"]\n  11 -> 27 [size =\"15541248\"]\n  11 -> 28 [size =\"15541248\"]\n  12 [size=\"65032192\", alpha=\"0.14\", expect_size=\"32516096\"] \n  12 -> 20 [size =\"32516096\"]\n  12 -> 25 [size =\"32516096\"]\n  12 -> 26 [size =\"32516096\"]\n  12 -> 28 [size =\"32516096\"]\n  13 [size=\"19042304\", alpha=\"0.03\", expect_size=\"9521152\"] \n  13 -> 21 [size =\"9521152\"]\n  13 -> 23 [size =\"9521152\"]\n  13 -> 24 [size =\"9521152\"]\n  13 -> 25 [size =\"9521152\"]\n  14 [size=\"18317312\", alpha=\"0.08\", expect_size=\"9158656\"] \n  14 -> 25 [size =\"9158656\"]\n  14 -> 27 [size =\"9158656\"]\n  15 [size=\"65140736\", alpha=\"0.04\", expect_size=\"32570368\"] \n  15 -> 20 [size =\"32570368\"]\n  15 -> 22 [size =\"32570368\"]\n  15 -> 23 [size =\"32570368\"]\n  15 -> 27 [size =\"32570368\"]\n  16 [size=\"70131712\", alpha=\"0.03\", expect_size=\"35065856\"] \n  16 -> 28 [size =\"35065856\"]\n  17 [size=\"47400960\", alpha=\"0.10\", expect_size=\"23700480\"] \n  17 -> 20 [size =\"23700480\"]\n  17 -> 22 [size =\"23700480\"]\n  17 -> 25 [size =\"23700480\"]\n  17 -> 27 [size =\"23700480\"]\n  17 -> 28 [size =\"23700480\"]\n  18 [size=\"45074432\", alpha=\"0.11\", expect_size=\"22537216\"] \n  18 -> 20 [size =\"22537216\"]\n  18 -> 23 [size =\"22537216\"]\n  18 -> 24 [size =\"22537216\"]\n  18 -> 28 [size =\"22537216\"]\n  19 [size=\"76824576\", alpha=\"0.11\", expect_size=\"38412288\"] \n  19 -> 21 [size =\"38412288\"]\n  19 -> 22 [size =\"38412288\"]\n  19 -> 23 [size =\"38412288\"]\n  19 -> 26 [size =\"38412288\"]\n  19 -> 28 [size =\"38412288\"]\n  20 [size=\"22571008\", alpha=\"0.09\", expect_size=\"11285504\"] \n  20 -> 29 [size =\"11285504\"]\n  20 -> 30 [size =\"11285504\"]\n  21 [size=\"89518080\", alpha=\"0.11\", expect_size=\"44759040\"] \n  22 [size=\"86464512\", alpha=\"0.16\", expect_size=\"43232256\"] \n  22 -> 29 [size =\"43232256\"]\n  23 [size=\"58183680\", alpha=\"0.16\", expect_size=\"29091840\"] \n  24 [size=\"73508864\", alpha=\"0.16\", expect_size=\"36754432\"] \n  25 [size=\"15478784\", alpha=\"0.19\", expect_size=\"7739392\"] \n  25 -> 29 [size =\"7739392\"]\n  26 [size=\"35831808\", alpha=\"0.05\", expect_size=\"17915904\"] \n  26 -> 29 [size =\"17915904\"]\n  27 [size=\"48351232\", alpha=\"0.04\", expect_size=\"24175616\"] \n  27 -> 29 [size =\"24175616\"]\n  28 [size=\"97808384\", alpha=\"0.14\", expect_size=\"48904192\"] \n  28 -> 29 [size =\"48904192\"]\n  29 [size=\"57204736\", alpha=\"0.01\", expect_size=\"28602368\"] \n  30 [size=\"13838336\", alpha=\"0.05\", expect_size=\"6919168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19115520\", alpha=\"0.09\", expect_size=\"7646208\"] \n  1 -> 2 [size =\"7646208\"]\n  2 [size=\"15198720\", alpha=\"0.14\", expect_size=\"6079488\"] \n  2 -> 3 [size =\"6079488\"]\n  2 -> 4 [size =\"6079488\"]\n  3 [size=\"72412160\", alpha=\"0.13\", expect_size=\"28964864\"] \n  4 [size=\"104826880\", alpha=\"0.11\", expect_size=\"41930752\"] \n  4 -> 5 [size =\"41930752\"]\n  5 [size=\"41410560\", alpha=\"0.05\", expect_size=\"16564224\"] \n  5 -> 6 [size =\"16564224\"]\n  5 -> 7 [size =\"16564224\"]\n  6 [size=\"50705920\", alpha=\"0.12\", expect_size=\"20282368\"] \n  6 -> 9 [size =\"20282368\"]\n  7 [size=\"130780160\", alpha=\"0.07\", expect_size=\"52312064\"] \n  7 -> 8 [size =\"52312064\"]\n  8 [size=\"106183680\", alpha=\"0.11\", expect_size=\"42473472\"] \n  8 -> 10 [size =\"42473472\"]\n  9 [size=\"36789760\", alpha=\"0.19\", expect_size=\"14715904\"] \n  10 [size=\"88161280\", alpha=\"0.10\", expect_size=\"35264512\"] \n  10 -> 11 [size =\"35264512\"]\n  11 [size=\"72071680\", alpha=\"0.12\", expect_size=\"28828672\"] \n  11 -> 12 [size =\"28828672\"]\n  12 [size=\"122839040\", alpha=\"0.11\", expect_size=\"49135616\"] \n  12 -> 13 [size =\"49135616\"]\n  12 -> 14 [size =\"49135616\"]\n  13 [size=\"90165760\", alpha=\"0.03\", expect_size=\"36066304\"] \n  14 [size=\"49159680\", alpha=\"0.00\", expect_size=\"19663872\"] \n  14 -> 15 [size =\"19663872\"]\n  14 -> 16 [size =\"19663872\"]\n  15 [size=\"113031680\", alpha=\"0.08\", expect_size=\"45212672\"] \n  15 -> 17 [size =\"45212672\"]\n  15 -> 18 [size =\"45212672\"]\n  16 [size=\"23454720\", alpha=\"0.02\", expect_size=\"9381888\"] \n  17 [size=\"92264960\", alpha=\"0.09\", expect_size=\"36905984\"] \n  17 -> 19 [size =\"36905984\"]\n  17 -> 20 [size =\"36905984\"]\n  18 [size=\"17684480\", alpha=\"0.20\", expect_size=\"7073792\"] \n  19 [size=\"85135360\", alpha=\"0.20\", expect_size=\"34054144\"] \n  20 [size=\"76666880\", alpha=\"0.09\", expect_size=\"30666752\"] \n  20 -> 21 [size =\"30666752\"]\n  21 [size=\"16058880\", alpha=\"0.19\", expect_size=\"6423552\"] \n  21 -> 22 [size =\"6423552\"]\n  22 [size=\"88593920\", alpha=\"0.09\", expect_size=\"35437568\"] \n  22 -> 23 [size =\"35437568\"]\n  23 [size=\"38261760\", alpha=\"0.10\", expect_size=\"15304704\"] \n  23 -> 24 [size =\"15304704\"]\n  24 [size=\"57461760\", alpha=\"0.06\", expect_size=\"22984704\"] \n  24 -> 25 [size =\"22984704\"]\n  25 [size=\"57978880\", alpha=\"0.07\", expect_size=\"23191552\"] \n  25 -> 26 [size =\"23191552\"]\n  26 [size=\"106419200\", alpha=\"0.14\", expect_size=\"42567680\"] \n  26 -> 27 [size =\"42567680\"]\n  27 [size=\"116518400\", alpha=\"0.01\", expect_size=\"46607360\"] \n  27 -> 28 [size =\"46607360\"]\n  27 -> 29 [size =\"46607360\"]\n  28 [size=\"51955200\", alpha=\"0.04\", expect_size=\"20782080\"] \n  29 [size=\"51041280\", alpha=\"0.11\", expect_size=\"20416512\"] \n  29 -> 30 [size =\"20416512\"]\n  30 [size=\"49955840\", alpha=\"0.11\", expect_size=\"19982336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153490773\", alpha=\"0.16\", expect_size=\"46047232\"] \n  1 -> 2 [size =\"46047232\"]\n  2 [size=\"151951360\", alpha=\"0.04\", expect_size=\"45585408\"] \n  2 -> 3 [size =\"45585408\"]\n  3 [size=\"94689280\", alpha=\"0.11\", expect_size=\"28406784\"] \n  3 -> 4 [size =\"28406784\"]\n  4 [size=\"165133653\", alpha=\"0.15\", expect_size=\"49540096\"] \n  4 -> 5 [size =\"49540096\"]\n  5 [size=\"23808000\", alpha=\"0.01\", expect_size=\"7142400\"] \n  5 -> 6 [size =\"7142400\"]\n  6 [size=\"52005547\", alpha=\"0.17\", expect_size=\"15601664\"] \n  6 -> 7 [size =\"15601664\"]\n  7 [size=\"111090347\", alpha=\"0.12\", expect_size=\"33327104\"] \n  7 -> 8 [size =\"33327104\"]\n  8 [size=\"62631253\", alpha=\"0.01\", expect_size=\"18789376\"] \n  8 -> 9 [size =\"18789376\"]\n  9 [size=\"40331947\", alpha=\"0.01\", expect_size=\"12099584\"] \n  9 -> 10 [size =\"12099584\"]\n  10 [size=\"18827947\", alpha=\"0.04\", expect_size=\"5648384\"] \n  10 -> 11 [size =\"5648384\"]\n  11 [size=\"128925013\", alpha=\"0.08\", expect_size=\"38677504\"] \n  11 -> 12 [size =\"38677504\"]\n  12 [size=\"93620907\", alpha=\"0.03\", expect_size=\"28086272\"] \n  12 -> 13 [size =\"28086272\"]\n  13 [size=\"125856427\", alpha=\"0.04\", expect_size=\"37756928\"] \n  13 -> 14 [size =\"37756928\"]\n  14 [size=\"56644267\", alpha=\"0.12\", expect_size=\"16993280\"] \n  14 -> 15 [size =\"16993280\"]\n  15 [size=\"19923627\", alpha=\"0.12\", expect_size=\"5977088\"] \n  15 -> 16 [size =\"5977088\"]\n  16 [size=\"25801387\", alpha=\"0.08\", expect_size=\"7740416\"] \n  16 -> 17 [size =\"7740416\"]\n  17 [size=\"160023893\", alpha=\"0.01\", expect_size=\"48007168\"] \n  17 -> 18 [size =\"48007168\"]\n  18 [size=\"100904960\", alpha=\"0.03\", expect_size=\"30271488\"] \n  18 -> 19 [size =\"30271488\"]\n  19 [size=\"112237227\", alpha=\"0.02\", expect_size=\"33671168\"] \n  19 -> 20 [size =\"33671168\"]\n  20 [size=\"118217387\", alpha=\"0.13\", expect_size=\"35465216\"] \n  20 -> 21 [size =\"35465216\"]\n  21 [size=\"151770453\", alpha=\"0.02\", expect_size=\"45531136\"] \n  21 -> 22 [size =\"45531136\"]\n  22 [size=\"53858987\", alpha=\"0.07\", expect_size=\"16157696\"] \n  22 -> 23 [size =\"16157696\"]\n  23 [size=\"76035413\", alpha=\"0.03\", expect_size=\"22810624\"] \n  23 -> 24 [size =\"22810624\"]\n  24 [size=\"107694080\", alpha=\"0.17\", expect_size=\"32308224\"] \n  24 -> 25 [size =\"32308224\"]\n  25 [size=\"45523627\", alpha=\"0.12\", expect_size=\"13657088\"] \n  25 -> 26 [size =\"13657088\"]\n  26 [size=\"139284480\", alpha=\"0.12\", expect_size=\"41785344\"] \n  26 -> 27 [size =\"41785344\"]\n  27 [size=\"46653440\", alpha=\"0.03\", expect_size=\"13996032\"] \n  27 -> 28 [size =\"13996032\"]\n  28 [size=\"52756480\", alpha=\"0.20\", expect_size=\"15826944\"] \n  28 -> 29 [size =\"15826944\"]\n  29 [size=\"72826880\", alpha=\"0.20\", expect_size=\"21848064\"] \n  29 -> 30 [size =\"21848064\"]\n  30 [size=\"87381333\", alpha=\"0.00\", expect_size=\"26214400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106956800\", alpha=\"0.10\", expect_size=\"42782720\"] \n  1 -> 8 [size =\"42782720\"]\n  1 -> 12 [size =\"42782720\"]\n  1 -> 13 [size =\"42782720\"]\n  1 -> 14 [size =\"42782720\"]\n  1 -> 15 [size =\"42782720\"]\n  1 -> 16 [size =\"42782720\"]\n  1 -> 19 [size =\"42782720\"]\n  1 -> 20 [size =\"42782720\"]\n  1 -> 21 [size =\"42782720\"]\n  2 [size=\"124326400\", alpha=\"0.10\", expect_size=\"49730560\"] \n  2 -> 8 [size =\"49730560\"]\n  2 -> 20 [size =\"49730560\"]\n  2 -> 21 [size =\"49730560\"]\n  3 [size=\"98393600\", alpha=\"0.18\", expect_size=\"39357440\"] \n  3 -> 11 [size =\"39357440\"]\n  3 -> 12 [size =\"39357440\"]\n  3 -> 15 [size =\"39357440\"]\n  3 -> 18 [size =\"39357440\"]\n  3 -> 19 [size =\"39357440\"]\n  3 -> 20 [size =\"39357440\"]\n  4 [size=\"56919040\", alpha=\"0.05\", expect_size=\"22767616\"] \n  4 -> 11 [size =\"22767616\"]\n  4 -> 16 [size =\"22767616\"]\n  4 -> 17 [size =\"22767616\"]\n  4 -> 19 [size =\"22767616\"]\n  4 -> 20 [size =\"22767616\"]\n  4 -> 21 [size =\"22767616\"]\n  5 [size=\"92828160\", alpha=\"0.04\", expect_size=\"37131264\"] \n  5 -> 9 [size =\"37131264\"]\n  5 -> 12 [size =\"37131264\"]\n  5 -> 15 [size =\"37131264\"]\n  5 -> 19 [size =\"37131264\"]\n  5 -> 21 [size =\"37131264\"]\n  5 -> 21 [size =\"37131264\"]\n  6 [size=\"82767360\", alpha=\"0.01\", expect_size=\"33106944\"] \n  6 -> 10 [size =\"33106944\"]\n  6 -> 12 [size =\"33106944\"]\n  6 -> 20 [size =\"33106944\"]\n  7 [size=\"113259520\", alpha=\"0.17\", expect_size=\"45303808\"] \n  7 -> 8 [size =\"45303808\"]\n  7 -> 9 [size =\"45303808\"]\n  7 -> 14 [size =\"45303808\"]\n  7 -> 16 [size =\"45303808\"]\n  8 [size=\"62576640\", alpha=\"0.20\", expect_size=\"25030656\"] \n  8 -> 22 [size =\"25030656\"]\n  8 -> 23 [size =\"25030656\"]\n  9 [size=\"54901760\", alpha=\"0.12\", expect_size=\"21960704\"] \n  10 [size=\"79034880\", alpha=\"0.14\", expect_size=\"31613952\"] \n  11 [size=\"48166400\", alpha=\"0.15\", expect_size=\"19266560\"] \n  11 -> 24 [size =\"19266560\"]\n  12 [size=\"109196800\", alpha=\"0.06\", expect_size=\"43678720\"] \n  12 -> 23 [size =\"43678720\"]\n  12 -> 25 [size =\"43678720\"]\n  13 [size=\"51484160\", alpha=\"0.05\", expect_size=\"20593664\"] \n  13 -> 22 [size =\"20593664\"]\n  14 [size=\"38336000\", alpha=\"0.08\", expect_size=\"15334400\"] \n  14 -> 22 [size =\"15334400\"]\n  14 -> 25 [size =\"15334400\"]\n  14 -> 26 [size =\"15334400\"]\n  15 [size=\"66685440\", alpha=\"0.06\", expect_size=\"26674176\"] \n  15 -> 22 [size =\"26674176\"]\n  15 -> 25 [size =\"26674176\"]\n  16 [size=\"89850880\", alpha=\"0.03\", expect_size=\"35940352\"] \n  16 -> 22 [size =\"35940352\"]\n  16 -> 24 [size =\"35940352\"]\n  17 [size=\"97646080\", alpha=\"0.15\", expect_size=\"39058432\"] \n  18 [size=\"77739520\", alpha=\"0.00\", expect_size=\"31095808\"] \n  19 [size=\"75829760\", alpha=\"0.16\", expect_size=\"30331904\"] \n  19 -> 25 [size =\"30331904\"]\n  20 [size=\"27548160\", alpha=\"0.11\", expect_size=\"11019264\"] \n  20 -> 25 [size =\"11019264\"]\n  20 -> 26 [size =\"11019264\"]\n  21 [size=\"108334080\", alpha=\"0.01\", expect_size=\"43333632\"] \n  22 [size=\"80097280\", alpha=\"0.10\", expect_size=\"32038912\"] \n  22 -> 27 [size =\"32038912\"]\n  22 -> 30 [size =\"32038912\"]\n  23 [size=\"117534720\", alpha=\"0.14\", expect_size=\"47013888\"] \n  23 -> 28 [size =\"47013888\"]\n  24 [size=\"27888640\", alpha=\"0.05\", expect_size=\"11155456\"] \n  24 -> 28 [size =\"11155456\"]\n  24 -> 29 [size =\"11155456\"]\n  25 [size=\"74997760\", alpha=\"0.10\", expect_size=\"29999104\"] \n  25 -> 30 [size =\"29999104\"]\n  26 [size=\"110353920\", alpha=\"0.06\", expect_size=\"44141568\"] \n  26 -> 27 [size =\"44141568\"]\n  26 -> 29 [size =\"44141568\"]\n  26 -> 30 [size =\"44141568\"]\n  27 [size=\"125893120\", alpha=\"0.19\", expect_size=\"50357248\"] \n  28 [size=\"93642240\", alpha=\"0.01\", expect_size=\"37456896\"] \n  29 [size=\"93959680\", alpha=\"0.10\", expect_size=\"37583872\"] \n  30 [size=\"72990720\", alpha=\"0.10\", expect_size=\"29196288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76533760\", alpha=\"0.10\", expect_size=\"22960128\"] \n  1 -> 10 [size =\"22960128\"]\n  1 -> 11 [size =\"22960128\"]\n  1 -> 15 [size =\"22960128\"]\n  1 -> 16 [size =\"22960128\"]\n  1 -> 17 [size =\"22960128\"]\n  1 -> 18 [size =\"22960128\"]\n  1 -> 19 [size =\"22960128\"]\n  2 [size=\"54558720\", alpha=\"0.03\", expect_size=\"16367616\"] \n  2 -> 10 [size =\"16367616\"]\n  2 -> 11 [size =\"16367616\"]\n  2 -> 12 [size =\"16367616\"]\n  2 -> 15 [size =\"16367616\"]\n  2 -> 17 [size =\"16367616\"]\n  2 -> 20 [size =\"16367616\"]\n  3 [size=\"123774293\", alpha=\"0.15\", expect_size=\"37132288\"] \n  3 -> 11 [size =\"37132288\"]\n  3 -> 12 [size =\"37132288\"]\n  3 -> 17 [size =\"37132288\"]\n  3 -> 18 [size =\"37132288\"]\n  3 -> 19 [size =\"37132288\"]\n  3 -> 20 [size =\"37132288\"]\n  4 [size=\"125395627\", alpha=\"0.03\", expect_size=\"37618688\"] \n  4 -> 12 [size =\"37618688\"]\n  4 -> 13 [size =\"37618688\"]\n  4 -> 14 [size =\"37618688\"]\n  4 -> 20 [size =\"37618688\"]\n  4 -> 21 [size =\"37618688\"]\n  5 [size=\"41656320\", alpha=\"0.19\", expect_size=\"12496896\"] \n  5 -> 11 [size =\"12496896\"]\n  5 -> 12 [size =\"12496896\"]\n  5 -> 15 [size =\"12496896\"]\n  5 -> 16 [size =\"12496896\"]\n  5 -> 17 [size =\"12496896\"]\n  5 -> 18 [size =\"12496896\"]\n  5 -> 21 [size =\"12496896\"]\n  6 [size=\"29443413\", alpha=\"0.19\", expect_size=\"8833024\"] \n  6 -> 10 [size =\"8833024\"]\n  6 -> 12 [size =\"8833024\"]\n  6 -> 15 [size =\"8833024\"]\n  6 -> 18 [size =\"8833024\"]\n  6 -> 19 [size =\"8833024\"]\n  7 [size=\"122357760\", alpha=\"0.17\", expect_size=\"36707328\"] \n  7 -> 14 [size =\"36707328\"]\n  7 -> 19 [size =\"36707328\"]\n  7 -> 20 [size =\"36707328\"]\n  8 [size=\"61767680\", alpha=\"0.04\", expect_size=\"18530304\"] \n  8 -> 11 [size =\"18530304\"]\n  8 -> 12 [size =\"18530304\"]\n  8 -> 19 [size =\"18530304\"]\n  8 -> 21 [size =\"18530304\"]\n  9 [size=\"153480533\", alpha=\"0.09\", expect_size=\"46044160\"] \n  9 -> 11 [size =\"46044160\"]\n  9 -> 14 [size =\"46044160\"]\n  9 -> 15 [size =\"46044160\"]\n  9 -> 17 [size =\"46044160\"]\n  9 -> 19 [size =\"46044160\"]\n  9 -> 20 [size =\"46044160\"]\n  9 -> 21 [size =\"46044160\"]\n  10 [size=\"145066667\", alpha=\"0.03\", expect_size=\"43520000\"] \n  10 -> 22 [size =\"43520000\"]\n  10 -> 23 [size =\"43520000\"]\n  10 -> 26 [size =\"43520000\"]\n  10 -> 29 [size =\"43520000\"]\n  11 [size=\"97515520\", alpha=\"0.07\", expect_size=\"29254656\"] \n  11 -> 22 [size =\"29254656\"]\n  11 -> 23 [size =\"29254656\"]\n  11 -> 25 [size =\"29254656\"]\n  11 -> 27 [size =\"29254656\"]\n  11 -> 29 [size =\"29254656\"]\n  12 [size=\"21319680\", alpha=\"0.17\", expect_size=\"6395904\"] \n  12 -> 22 [size =\"6395904\"]\n  12 -> 23 [size =\"6395904\"]\n  12 -> 24 [size =\"6395904\"]\n  12 -> 25 [size =\"6395904\"]\n  12 -> 26 [size =\"6395904\"]\n  12 -> 27 [size =\"6395904\"]\n  13 [size=\"47363413\", alpha=\"0.02\", expect_size=\"14209024\"] \n  13 -> 22 [size =\"14209024\"]\n  13 -> 24 [size =\"14209024\"]\n  13 -> 25 [size =\"14209024\"]\n  13 -> 26 [size =\"14209024\"]\n  13 -> 27 [size =\"14209024\"]\n  13 -> 29 [size =\"14209024\"]\n  14 [size=\"164396373\", alpha=\"0.01\", expect_size=\"49318912\"] \n  14 -> 29 [size =\"49318912\"]\n  14 -> 30 [size =\"49318912\"]\n  15 [size=\"29102080\", alpha=\"0.12\", expect_size=\"8730624\"] \n  15 -> 23 [size =\"8730624\"]\n  15 -> 25 [size =\"8730624\"]\n  15 -> 26 [size =\"8730624\"]\n  15 -> 27 [size =\"8730624\"]\n  15 -> 28 [size =\"8730624\"]\n  15 -> 29 [size =\"8730624\"]\n  16 [size=\"174718293\", alpha=\"0.10\", expect_size=\"52415488\"] \n  16 -> 22 [size =\"52415488\"]\n  16 -> 24 [size =\"52415488\"]\n  16 -> 26 [size =\"52415488\"]\n  16 -> 28 [size =\"52415488\"]\n  16 -> 28 [size =\"52415488\"]\n  16 -> 29 [size =\"52415488\"]\n  17 [size=\"170499413\", alpha=\"0.05\", expect_size=\"51149824\"] \n  17 -> 22 [size =\"51149824\"]\n  17 -> 23 [size =\"51149824\"]\n  18 [size=\"144223573\", alpha=\"0.03\", expect_size=\"43267072\"] \n  18 -> 22 [size =\"43267072\"]\n  18 -> 23 [size =\"43267072\"]\n  18 -> 26 [size =\"43267072\"]\n  18 -> 28 [size =\"43267072\"]\n  18 -> 30 [size =\"43267072\"]\n  19 [size=\"174216533\", alpha=\"0.13\", expect_size=\"52264960\"] \n  19 -> 27 [size =\"52264960\"]\n  19 -> 28 [size =\"52264960\"]\n  20 [size=\"86340267\", alpha=\"0.12\", expect_size=\"25902080\"] \n  20 -> 22 [size =\"25902080\"]\n  20 -> 25 [size =\"25902080\"]\n  20 -> 27 [size =\"25902080\"]\n  20 -> 28 [size =\"25902080\"]\n  21 [size=\"112500053\", alpha=\"0.19\", expect_size=\"33750016\"] \n  21 -> 24 [size =\"33750016\"]\n  21 -> 25 [size =\"33750016\"]\n  21 -> 27 [size =\"33750016\"]\n  22 [size=\"164136960\", alpha=\"0.10\", expect_size=\"49241088\"] \n  23 [size=\"141967360\", alpha=\"0.14\", expect_size=\"42590208\"] \n  24 [size=\"157422933\", alpha=\"0.13\", expect_size=\"47226880\"] \n  25 [size=\"168393387\", alpha=\"0.14\", expect_size=\"50518016\"] \n  26 [size=\"106168320\", alpha=\"0.17\", expect_size=\"31850496\"] \n  27 [size=\"29579947\", alpha=\"0.14\", expect_size=\"8873984\"] \n  28 [size=\"70601387\", alpha=\"0.16\", expect_size=\"21180416\"] \n  29 [size=\"91077973\", alpha=\"0.15\", expect_size=\"27323392\"] \n  30 [size=\"37423787\", alpha=\"0.10\", expect_size=\"11227136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76111360\", alpha=\"0.09\", expect_size=\"30444544\"] \n  1 -> 12 [size =\"30444544\"]\n  2 [size=\"27942400\", alpha=\"0.07\", expect_size=\"11176960\"] \n  2 -> 12 [size =\"11176960\"]\n  2 -> 14 [size =\"11176960\"]\n  3 [size=\"44277760\", alpha=\"0.10\", expect_size=\"17711104\"] \n  3 -> 14 [size =\"17711104\"]\n  3 -> 15 [size =\"17711104\"]\n  4 [size=\"22848000\", alpha=\"0.02\", expect_size=\"9139200\"] \n  4 -> 12 [size =\"9139200\"]\n  4 -> 15 [size =\"9139200\"]\n  5 [size=\"61135360\", alpha=\"0.20\", expect_size=\"24454144\"] \n  6 [size=\"41871360\", alpha=\"0.06\", expect_size=\"16748544\"] \n  7 [size=\"32867840\", alpha=\"0.15\", expect_size=\"13147136\"] \n  7 -> 13 [size =\"13147136\"]\n  7 -> 15 [size =\"13147136\"]\n  8 [size=\"53849600\", alpha=\"0.16\", expect_size=\"21539840\"] \n  8 -> 13 [size =\"21539840\"]\n  8 -> 14 [size =\"21539840\"]\n  8 -> 15 [size =\"21539840\"]\n  8 -> 16 [size =\"21539840\"]\n  9 [size=\"99819520\", alpha=\"0.01\", expect_size=\"39927808\"] \n  9 -> 16 [size =\"39927808\"]\n  10 [size=\"57382400\", alpha=\"0.18\", expect_size=\"22952960\"] \n  11 [size=\"59901440\", alpha=\"0.17\", expect_size=\"23960576\"] \n  12 [size=\"114708480\", alpha=\"0.02\", expect_size=\"45883392\"] \n  12 -> 17 [size =\"45883392\"]\n  12 -> 20 [size =\"45883392\"]\n  12 -> 25 [size =\"45883392\"]\n  13 [size=\"38423040\", alpha=\"0.04\", expect_size=\"15369216\"] \n  13 -> 17 [size =\"15369216\"]\n  13 -> 24 [size =\"15369216\"]\n  13 -> 26 [size =\"15369216\"]\n  13 -> 27 [size =\"15369216\"]\n  14 [size=\"97223680\", alpha=\"0.17\", expect_size=\"38889472\"] \n  14 -> 18 [size =\"38889472\"]\n  14 -> 19 [size =\"38889472\"]\n  14 -> 25 [size =\"38889472\"]\n  15 [size=\"107200000\", alpha=\"0.06\", expect_size=\"42880000\"] \n  15 -> 17 [size =\"42880000\"]\n  15 -> 20 [size =\"42880000\"]\n  15 -> 23 [size =\"42880000\"]\n  15 -> 26 [size =\"42880000\"]\n  16 [size=\"104404480\", alpha=\"0.18\", expect_size=\"41761792\"] \n  16 -> 20 [size =\"41761792\"]\n  16 -> 21 [size =\"41761792\"]\n  16 -> 22 [size =\"41761792\"]\n  16 -> 23 [size =\"41761792\"]\n  16 -> 25 [size =\"41761792\"]\n  16 -> 28 [size =\"41761792\"]\n  16 -> 29 [size =\"41761792\"]\n  17 [size=\"20840960\", alpha=\"0.10\", expect_size=\"8336384\"] \n  18 [size=\"110504960\", alpha=\"0.13\", expect_size=\"44201984\"] \n  19 [size=\"84359680\", alpha=\"0.04\", expect_size=\"33743872\"] \n  19 -> 30 [size =\"33743872\"]\n  20 [size=\"92590080\", alpha=\"0.17\", expect_size=\"37036032\"] \n  21 [size=\"78103040\", alpha=\"0.01\", expect_size=\"31241216\"] \n  22 [size=\"59169280\", alpha=\"0.07\", expect_size=\"23667712\"] \n  22 -> 30 [size =\"23667712\"]\n  23 [size=\"73559040\", alpha=\"0.18\", expect_size=\"29423616\"] \n  24 [size=\"96765440\", alpha=\"0.11\", expect_size=\"38706176\"] \n  25 [size=\"76441600\", alpha=\"0.12\", expect_size=\"30576640\"] \n  26 [size=\"110809600\", alpha=\"0.18\", expect_size=\"44323840\"] \n  27 [size=\"101378560\", alpha=\"0.07\", expect_size=\"40551424\"] \n  27 -> 30 [size =\"40551424\"]\n  28 [size=\"43333120\", alpha=\"0.04\", expect_size=\"17333248\"] \n  29 [size=\"118018560\", alpha=\"0.15\", expect_size=\"47207424\"] \n  29 -> 30 [size =\"47207424\"]\n  30 [size=\"25978880\", alpha=\"0.13\", expect_size=\"10391552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137649493\", alpha=\"0.01\", expect_size=\"41294848\"] \n  1 -> 2 [size =\"41294848\"]\n  2 [size=\"122804907\", alpha=\"0.19\", expect_size=\"36841472\"] \n  2 -> 3 [size =\"36841472\"]\n  3 [size=\"106393600\", alpha=\"0.03\", expect_size=\"31918080\"] \n  3 -> 4 [size =\"31918080\"]\n  4 [size=\"166744747\", alpha=\"0.09\", expect_size=\"50023424\"] \n  4 -> 5 [size =\"50023424\"]\n  5 [size=\"148978347\", alpha=\"0.12\", expect_size=\"44693504\"] \n  5 -> 6 [size =\"44693504\"]\n  6 [size=\"164823040\", alpha=\"0.07\", expect_size=\"49446912\"] \n  6 -> 7 [size =\"49446912\"]\n  7 [size=\"82455893\", alpha=\"0.18\", expect_size=\"24736768\"] \n  7 -> 8 [size =\"24736768\"]\n  8 [size=\"43888640\", alpha=\"0.09\", expect_size=\"13166592\"] \n  8 -> 9 [size =\"13166592\"]\n  9 [size=\"92354560\", alpha=\"0.05\", expect_size=\"27706368\"] \n  9 -> 10 [size =\"27706368\"]\n  10 [size=\"173943467\", alpha=\"0.03\", expect_size=\"52183040\"] \n  10 -> 11 [size =\"52183040\"]\n  11 [size=\"45533867\", alpha=\"0.08\", expect_size=\"13660160\"] \n  11 -> 12 [size =\"13660160\"]\n  12 [size=\"54732800\", alpha=\"0.05\", expect_size=\"16419840\"] \n  12 -> 13 [size =\"16419840\"]\n  13 [size=\"47465813\", alpha=\"0.07\", expect_size=\"14239744\"] \n  13 -> 14 [size =\"14239744\"]\n  14 [size=\"72850773\", alpha=\"0.18\", expect_size=\"21855232\"] \n  14 -> 15 [size =\"21855232\"]\n  15 [size=\"141216427\", alpha=\"0.06\", expect_size=\"42364928\"] \n  15 -> 16 [size =\"42364928\"]\n  16 [size=\"79694507\", alpha=\"0.03\", expect_size=\"23908352\"] \n  16 -> 17 [size =\"23908352\"]\n  17 [size=\"137076053\", alpha=\"0.07\", expect_size=\"41122816\"] \n  17 -> 18 [size =\"41122816\"]\n  18 [size=\"123716267\", alpha=\"0.09\", expect_size=\"37114880\"] \n  18 -> 19 [size =\"37114880\"]\n  19 [size=\"39929173\", alpha=\"0.04\", expect_size=\"11978752\"] \n  19 -> 20 [size =\"11978752\"]\n  20 [size=\"78632960\", alpha=\"0.12\", expect_size=\"23589888\"] \n  20 -> 21 [size =\"23589888\"]\n  21 [size=\"99983360\", alpha=\"0.16\", expect_size=\"29995008\"] \n  21 -> 22 [size =\"29995008\"]\n  22 [size=\"159126187\", alpha=\"0.13\", expect_size=\"47737856\"] \n  22 -> 23 [size =\"47737856\"]\n  23 [size=\"44332373\", alpha=\"0.01\", expect_size=\"13299712\"] \n  23 -> 24 [size =\"13299712\"]\n  24 [size=\"98078720\", alpha=\"0.08\", expect_size=\"29423616\"] \n  24 -> 25 [size =\"29423616\"]\n  25 [size=\"86248107\", alpha=\"0.12\", expect_size=\"25874432\"] \n  25 -> 26 [size =\"25874432\"]\n  26 [size=\"132744533\", alpha=\"0.15\", expect_size=\"39823360\"] \n  26 -> 27 [size =\"39823360\"]\n  27 [size=\"157020160\", alpha=\"0.06\", expect_size=\"47106048\"] \n  27 -> 28 [size =\"47106048\"]\n  28 [size=\"55866027\", alpha=\"0.20\", expect_size=\"16759808\"] \n  28 -> 29 [size =\"16759808\"]\n  29 [size=\"124600320\", alpha=\"0.04\", expect_size=\"37380096\"] \n  29 -> 30 [size =\"37380096\"]\n  30 [size=\"157566293\", alpha=\"0.07\", expect_size=\"47269888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47071232\", alpha=\"0.00\", expect_size=\"23535616\"] \n  1 -> 3 [size =\"23535616\"]\n  1 -> 4 [size =\"23535616\"]\n  2 [size=\"102449152\", alpha=\"0.03\", expect_size=\"51224576\"] \n  3 [size=\"34779136\", alpha=\"0.11\", expect_size=\"17389568\"] \n  3 -> 5 [size =\"17389568\"]\n  3 -> 6 [size =\"17389568\"]\n  4 [size=\"19816448\", alpha=\"0.11\", expect_size=\"9908224\"] \n  5 [size=\"73828352\", alpha=\"0.01\", expect_size=\"36914176\"] \n  5 -> 7 [size =\"36914176\"]\n  6 [size=\"54966272\", alpha=\"0.18\", expect_size=\"27483136\"] \n  6 -> 7 [size =\"27483136\"]\n  6 -> 8 [size =\"27483136\"]\n  7 [size=\"46163968\", alpha=\"0.18\", expect_size=\"23081984\"] \n  7 -> 10 [size =\"23081984\"]\n  8 [size=\"64069632\", alpha=\"0.02\", expect_size=\"32034816\"] \n  8 -> 9 [size =\"32034816\"]\n  9 [size=\"73609216\", alpha=\"0.04\", expect_size=\"36804608\"] \n  9 -> 11 [size =\"36804608\"]\n  9 -> 12 [size =\"36804608\"]\n  10 [size=\"66072576\", alpha=\"0.15\", expect_size=\"33036288\"] \n  10 -> 12 [size =\"33036288\"]\n  11 [size=\"89284608\", alpha=\"0.13\", expect_size=\"44642304\"] \n  11 -> 13 [size =\"44642304\"]\n  12 [size=\"89757696\", alpha=\"0.14\", expect_size=\"44878848\"] \n  12 -> 13 [size =\"44878848\"]\n  12 -> 14 [size =\"44878848\"]\n  13 [size=\"11857920\", alpha=\"0.14\", expect_size=\"5928960\"] \n  13 -> 16 [size =\"5928960\"]\n  14 [size=\"64325632\", alpha=\"0.10\", expect_size=\"32162816\"] \n  14 -> 15 [size =\"32162816\"]\n  14 -> 16 [size =\"32162816\"]\n  15 [size=\"19865600\", alpha=\"0.01\", expect_size=\"9932800\"] \n  15 -> 17 [size =\"9932800\"]\n  16 [size=\"24213504\", alpha=\"0.07\", expect_size=\"12106752\"] \n  17 [size=\"13905920\", alpha=\"0.10\", expect_size=\"6952960\"] \n  17 -> 18 [size =\"6952960\"]\n  18 [size=\"98293760\", alpha=\"0.08\", expect_size=\"49146880\"] \n  18 -> 19 [size =\"49146880\"]\n  18 -> 20 [size =\"49146880\"]\n  19 [size=\"14804992\", alpha=\"0.12\", expect_size=\"7402496\"] \n  20 [size=\"34754560\", alpha=\"0.19\", expect_size=\"17377280\"] \n  20 -> 21 [size =\"17377280\"]\n  21 [size=\"103692288\", alpha=\"0.13\", expect_size=\"51846144\"] \n  21 -> 22 [size =\"51846144\"]\n  22 [size=\"70350848\", alpha=\"0.07\", expect_size=\"35175424\"] \n  22 -> 23 [size =\"35175424\"]\n  23 [size=\"43622400\", alpha=\"0.07\", expect_size=\"21811200\"] \n  23 -> 24 [size =\"21811200\"]\n  24 [size=\"13242368\", alpha=\"0.08\", expect_size=\"6621184\"] \n  24 -> 25 [size =\"6621184\"]\n  24 -> 26 [size =\"6621184\"]\n  25 [size=\"61984768\", alpha=\"0.02\", expect_size=\"30992384\"] \n  25 -> 27 [size =\"30992384\"]\n  26 [size=\"67715072\", alpha=\"0.06\", expect_size=\"33857536\"] \n  27 [size=\"103006208\", alpha=\"0.18\", expect_size=\"51503104\"] \n  27 -> 28 [size =\"51503104\"]\n  27 -> 29 [size =\"51503104\"]\n  28 [size=\"55021568\", alpha=\"0.00\", expect_size=\"27510784\"] \n  28 -> 30 [size =\"27510784\"]\n  29 [size=\"93650944\", alpha=\"0.17\", expect_size=\"46825472\"] \n  30 [size=\"57266176\", alpha=\"0.05\", expect_size=\"28633088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35450880\", alpha=\"0.10\", expect_size=\"17725440\"] \n  1 -> 2 [size =\"17725440\"]\n  2 [size=\"94332928\", alpha=\"0.13\", expect_size=\"47166464\"] \n  2 -> 3 [size =\"47166464\"]\n  3 [size=\"27166720\", alpha=\"0.01\", expect_size=\"13583360\"] \n  3 -> 4 [size =\"13583360\"]\n  4 [size=\"38203392\", alpha=\"0.17\", expect_size=\"19101696\"] \n  4 -> 5 [size =\"19101696\"]\n  5 [size=\"89942016\", alpha=\"0.15\", expect_size=\"44971008\"] \n  5 -> 6 [size =\"44971008\"]\n  6 [size=\"50638848\", alpha=\"0.05\", expect_size=\"25319424\"] \n  6 -> 7 [size =\"25319424\"]\n  7 [size=\"55640064\", alpha=\"0.10\", expect_size=\"27820032\"] \n  7 -> 8 [size =\"27820032\"]\n  8 [size=\"62025728\", alpha=\"0.17\", expect_size=\"31012864\"] \n  8 -> 9 [size =\"31012864\"]\n  9 [size=\"45090816\", alpha=\"0.12\", expect_size=\"22545408\"] \n  9 -> 10 [size =\"22545408\"]\n  10 [size=\"81989632\", alpha=\"0.18\", expect_size=\"40994816\"] \n  10 -> 11 [size =\"40994816\"]\n  11 [size=\"32757760\", alpha=\"0.09\", expect_size=\"16378880\"] \n  11 -> 12 [size =\"16378880\"]\n  12 [size=\"81143808\", alpha=\"0.10\", expect_size=\"40571904\"] \n  12 -> 13 [size =\"40571904\"]\n  13 [size=\"48353280\", alpha=\"0.12\", expect_size=\"24176640\"] \n  13 -> 14 [size =\"24176640\"]\n  14 [size=\"53078016\", alpha=\"0.13\", expect_size=\"26539008\"] \n  14 -> 15 [size =\"26539008\"]\n  15 [size=\"41060352\", alpha=\"0.01\", expect_size=\"20530176\"] \n  15 -> 16 [size =\"20530176\"]\n  16 [size=\"19107840\", alpha=\"0.16\", expect_size=\"9553920\"] \n  16 -> 17 [size =\"9553920\"]\n  17 [size=\"44161024\", alpha=\"0.14\", expect_size=\"22080512\"] \n  17 -> 18 [size =\"22080512\"]\n  18 [size=\"89595904\", alpha=\"0.14\", expect_size=\"44797952\"] \n  18 -> 19 [size =\"44797952\"]\n  19 [size=\"77002752\", alpha=\"0.06\", expect_size=\"38501376\"] \n  19 -> 20 [size =\"38501376\"]\n  20 [size=\"38115328\", alpha=\"0.08\", expect_size=\"19057664\"] \n  20 -> 21 [size =\"19057664\"]\n  21 [size=\"26554368\", alpha=\"0.15\", expect_size=\"13277184\"] \n  21 -> 22 [size =\"13277184\"]\n  22 [size=\"69627904\", alpha=\"0.20\", expect_size=\"34813952\"] \n  22 -> 23 [size =\"34813952\"]\n  23 [size=\"20160512\", alpha=\"0.08\", expect_size=\"10080256\"] \n  23 -> 24 [size =\"10080256\"]\n  24 [size=\"79067136\", alpha=\"0.02\", expect_size=\"39533568\"] \n  24 -> 25 [size =\"39533568\"]\n  25 [size=\"44322816\", alpha=\"0.13\", expect_size=\"22161408\"] \n  25 -> 26 [size =\"22161408\"]\n  26 [size=\"48422912\", alpha=\"0.13\", expect_size=\"24211456\"] \n  26 -> 27 [size =\"24211456\"]\n  27 [size=\"29057024\", alpha=\"0.02\", expect_size=\"14528512\"] \n  27 -> 28 [size =\"14528512\"]\n  28 [size=\"93159424\", alpha=\"0.02\", expect_size=\"46579712\"] \n  28 -> 29 [size =\"46579712\"]\n  29 [size=\"62797824\", alpha=\"0.09\", expect_size=\"31398912\"] \n  29 -> 30 [size =\"31398912\"]\n  30 [size=\"92313600\", alpha=\"0.11\", expect_size=\"46156800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30050987\", alpha=\"0.14\", expect_size=\"9015296\"] \n  1 -> 2 [size =\"9015296\"]\n  1 -> 3 [size =\"9015296\"]\n  2 [size=\"69539840\", alpha=\"0.00\", expect_size=\"20861952\"] \n  2 -> 4 [size =\"20861952\"]\n  3 [size=\"116654080\", alpha=\"0.00\", expect_size=\"34996224\"] \n  3 -> 4 [size =\"34996224\"]\n  4 [size=\"95491413\", alpha=\"0.02\", expect_size=\"28647424\"] \n  4 -> 5 [size =\"28647424\"]\n  5 [size=\"97665707\", alpha=\"0.19\", expect_size=\"29299712\"] \n  5 -> 6 [size =\"29299712\"]\n  6 [size=\"96839680\", alpha=\"0.20\", expect_size=\"29051904\"] \n  6 -> 7 [size =\"29051904\"]\n  6 -> 8 [size =\"29051904\"]\n  7 [size=\"73291093\", alpha=\"0.04\", expect_size=\"21987328\"] \n  7 -> 9 [size =\"21987328\"]\n  7 -> 10 [size =\"21987328\"]\n  8 [size=\"74676907\", alpha=\"0.10\", expect_size=\"22403072\"] \n  8 -> 9 [size =\"22403072\"]\n  9 [size=\"133526187\", alpha=\"0.10\", expect_size=\"40057856\"] \n  9 -> 11 [size =\"40057856\"]\n  9 -> 12 [size =\"40057856\"]\n  10 [size=\"142206293\", alpha=\"0.15\", expect_size=\"42661888\"] \n  10 -> 11 [size =\"42661888\"]\n  10 -> 12 [size =\"42661888\"]\n  11 [size=\"112247467\", alpha=\"0.18\", expect_size=\"33674240\"] \n  12 [size=\"65481387\", alpha=\"0.05\", expect_size=\"19644416\"] \n  12 -> 13 [size =\"19644416\"]\n  13 [size=\"65792000\", alpha=\"0.05\", expect_size=\"19737600\"] \n  13 -> 14 [size =\"19737600\"]\n  14 [size=\"67918507\", alpha=\"0.11\", expect_size=\"20375552\"] \n  14 -> 15 [size =\"20375552\"]\n  14 -> 16 [size =\"20375552\"]\n  15 [size=\"83773440\", alpha=\"0.11\", expect_size=\"25132032\"] \n  16 [size=\"77404160\", alpha=\"0.15\", expect_size=\"23221248\"] \n  16 -> 17 [size =\"23221248\"]\n  17 [size=\"76980907\", alpha=\"0.07\", expect_size=\"23094272\"] \n  17 -> 18 [size =\"23094272\"]\n  18 [size=\"110755840\", alpha=\"0.11\", expect_size=\"33226752\"] \n  18 -> 19 [size =\"33226752\"]\n  19 [size=\"30013440\", alpha=\"0.07\", expect_size=\"9004032\"] \n  19 -> 20 [size =\"9004032\"]\n  19 -> 21 [size =\"9004032\"]\n  20 [size=\"112029013\", alpha=\"0.07\", expect_size=\"33608704\"] \n  21 [size=\"74676907\", alpha=\"0.09\", expect_size=\"22403072\"] \n  21 -> 22 [size =\"22403072\"]\n  22 [size=\"55565653\", alpha=\"0.17\", expect_size=\"16669696\"] \n  22 -> 23 [size =\"16669696\"]\n  23 [size=\"93958827\", alpha=\"0.18\", expect_size=\"28187648\"] \n  23 -> 24 [size =\"28187648\"]\n  23 -> 25 [size =\"28187648\"]\n  24 [size=\"136468480\", alpha=\"0.09\", expect_size=\"40940544\"] \n  24 -> 26 [size =\"40940544\"]\n  25 [size=\"62675627\", alpha=\"0.10\", expect_size=\"18802688\"] \n  25 -> 26 [size =\"18802688\"]\n  26 [size=\"145633280\", alpha=\"0.02\", expect_size=\"43689984\"] \n  26 -> 27 [size =\"43689984\"]\n  27 [size=\"107745280\", alpha=\"0.20\", expect_size=\"32323584\"] \n  27 -> 28 [size =\"32323584\"]\n  28 [size=\"166167893\", alpha=\"0.06\", expect_size=\"49850368\"] \n  28 -> 29 [size =\"49850368\"]\n  29 [size=\"97051307\", alpha=\"0.06\", expect_size=\"29115392\"] \n  29 -> 30 [size =\"29115392\"]\n  30 [size=\"151050240\", alpha=\"0.02\", expect_size=\"45315072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13817856\", alpha=\"0.08\", expect_size=\"6908928\"] \n  1 -> 2 [size =\"6908928\"]\n  1 -> 3 [size =\"6908928\"]\n  2 [size=\"29904896\", alpha=\"0.11\", expect_size=\"14952448\"] \n  2 -> 5 [size =\"14952448\"]\n  3 [size=\"88926208\", alpha=\"0.18\", expect_size=\"44463104\"] \n  3 -> 4 [size =\"44463104\"]\n  3 -> 5 [size =\"44463104\"]\n  4 [size=\"43294720\", alpha=\"0.02\", expect_size=\"21647360\"] \n  4 -> 6 [size =\"21647360\"]\n  4 -> 7 [size =\"21647360\"]\n  5 [size=\"38103040\", alpha=\"0.17\", expect_size=\"19051520\"] \n  5 -> 6 [size =\"19051520\"]\n  5 -> 7 [size =\"19051520\"]\n  6 [size=\"30517248\", alpha=\"0.10\", expect_size=\"15258624\"] \n  6 -> 8 [size =\"15258624\"]\n  6 -> 9 [size =\"15258624\"]\n  7 [size=\"49786880\", alpha=\"0.08\", expect_size=\"24893440\"] \n  7 -> 8 [size =\"24893440\"]\n  7 -> 9 [size =\"24893440\"]\n  8 [size=\"23801856\", alpha=\"0.15\", expect_size=\"11900928\"] \n  8 -> 10 [size =\"11900928\"]\n  9 [size=\"26820608\", alpha=\"0.11\", expect_size=\"13410304\"] \n  9 -> 10 [size =\"13410304\"]\n  10 [size=\"81180672\", alpha=\"0.06\", expect_size=\"40590336\"] \n  10 -> 11 [size =\"40590336\"]\n  10 -> 12 [size =\"40590336\"]\n  11 [size=\"66256896\", alpha=\"0.11\", expect_size=\"33128448\"] \n  11 -> 14 [size =\"33128448\"]\n  12 [size=\"101922816\", alpha=\"0.06\", expect_size=\"50961408\"] \n  12 -> 13 [size =\"50961408\"]\n  12 -> 14 [size =\"50961408\"]\n  13 [size=\"58982400\", alpha=\"0.03\", expect_size=\"29491200\"] \n  13 -> 15 [size =\"29491200\"]\n  13 -> 16 [size =\"29491200\"]\n  14 [size=\"49301504\", alpha=\"0.06\", expect_size=\"24650752\"] \n  14 -> 16 [size =\"24650752\"]\n  15 [size=\"57241600\", alpha=\"0.16\", expect_size=\"28620800\"] \n  15 -> 17 [size =\"28620800\"]\n  16 [size=\"44576768\", alpha=\"0.05\", expect_size=\"22288384\"] \n  16 -> 17 [size =\"22288384\"]\n  17 [size=\"93224960\", alpha=\"0.06\", expect_size=\"46612480\"] \n  17 -> 18 [size =\"46612480\"]\n  18 [size=\"35450880\", alpha=\"0.08\", expect_size=\"17725440\"] \n  18 -> 19 [size =\"17725440\"]\n  19 [size=\"12961792\", alpha=\"0.01\", expect_size=\"6480896\"] \n  19 -> 20 [size =\"6480896\"]\n  19 -> 21 [size =\"6480896\"]\n  20 [size=\"66168832\", alpha=\"0.17\", expect_size=\"33084416\"] \n  20 -> 22 [size =\"33084416\"]\n  20 -> 23 [size =\"33084416\"]\n  21 [size=\"96702464\", alpha=\"0.14\", expect_size=\"48351232\"] \n  21 -> 22 [size =\"48351232\"]\n  21 -> 23 [size =\"48351232\"]\n  22 [size=\"52858880\", alpha=\"0.15\", expect_size=\"26429440\"] \n  22 -> 25 [size =\"26429440\"]\n  23 [size=\"83058688\", alpha=\"0.13\", expect_size=\"41529344\"] \n  23 -> 24 [size =\"41529344\"]\n  23 -> 25 [size =\"41529344\"]\n  24 [size=\"95602688\", alpha=\"0.18\", expect_size=\"47801344\"] \n  24 -> 26 [size =\"47801344\"]\n  25 [size=\"28655616\", alpha=\"0.09\", expect_size=\"14327808\"] \n  26 [size=\"103581696\", alpha=\"0.03\", expect_size=\"51790848\"] \n  26 -> 27 [size =\"51790848\"]\n  26 -> 28 [size =\"51790848\"]\n  27 [size=\"33138688\", alpha=\"0.07\", expect_size=\"16569344\"] \n  27 -> 29 [size =\"16569344\"]\n  27 -> 30 [size =\"16569344\"]\n  28 [size=\"61198336\", alpha=\"0.13\", expect_size=\"30599168\"] \n  28 -> 29 [size =\"30599168\"]\n  28 -> 30 [size =\"30599168\"]\n  29 [size=\"98215936\", alpha=\"0.02\", expect_size=\"49107968\"] \n  30 [size=\"102287360\", alpha=\"0.07\", expect_size=\"51143680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98188800\", alpha=\"0.18\", expect_size=\"39275520\"] \n  1 -> 2 [size =\"39275520\"]\n  2 [size=\"19453440\", alpha=\"0.06\", expect_size=\"7781376\"] \n  2 -> 3 [size =\"7781376\"]\n  3 [size=\"39424000\", alpha=\"0.17\", expect_size=\"15769600\"] \n  3 -> 4 [size =\"15769600\"]\n  4 [size=\"20111360\", alpha=\"0.15\", expect_size=\"8044544\"] \n  4 -> 5 [size =\"8044544\"]\n  5 [size=\"42856960\", alpha=\"0.07\", expect_size=\"17142784\"] \n  5 -> 6 [size =\"17142784\"]\n  6 [size=\"48340480\", alpha=\"0.01\", expect_size=\"19336192\"] \n  6 -> 7 [size =\"19336192\"]\n  7 [size=\"119848960\", alpha=\"0.18\", expect_size=\"47939584\"] \n  7 -> 8 [size =\"47939584\"]\n  8 [size=\"102481920\", alpha=\"0.02\", expect_size=\"40992768\"] \n  8 -> 9 [size =\"40992768\"]\n  9 [size=\"78914560\", alpha=\"0.15\", expect_size=\"31565824\"] \n  9 -> 10 [size =\"31565824\"]\n  10 [size=\"105420800\", alpha=\"0.18\", expect_size=\"42168320\"] \n  10 -> 11 [size =\"42168320\"]\n  11 [size=\"73313280\", alpha=\"0.06\", expect_size=\"29325312\"] \n  11 -> 12 [size =\"29325312\"]\n  12 [size=\"63162880\", alpha=\"0.18\", expect_size=\"25265152\"] \n  12 -> 13 [size =\"25265152\"]\n  13 [size=\"97297920\", alpha=\"0.11\", expect_size=\"38919168\"] \n  13 -> 14 [size =\"38919168\"]\n  14 [size=\"81541120\", alpha=\"0.19\", expect_size=\"32616448\"] \n  14 -> 15 [size =\"32616448\"]\n  15 [size=\"49264640\", alpha=\"0.06\", expect_size=\"19705856\"] \n  15 -> 16 [size =\"19705856\"]\n  16 [size=\"87915520\", alpha=\"0.17\", expect_size=\"35166208\"] \n  16 -> 17 [size =\"35166208\"]\n  17 [size=\"94016000\", alpha=\"0.06\", expect_size=\"37606400\"] \n  17 -> 18 [size =\"37606400\"]\n  18 [size=\"83939840\", alpha=\"0.12\", expect_size=\"33575936\"] \n  18 -> 19 [size =\"33575936\"]\n  19 [size=\"96970240\", alpha=\"0.19\", expect_size=\"38788096\"] \n  19 -> 20 [size =\"38788096\"]\n  20 [size=\"67302400\", alpha=\"0.10\", expect_size=\"26920960\"] \n  20 -> 21 [size =\"26920960\"]\n  21 [size=\"56381440\", alpha=\"0.16\", expect_size=\"22552576\"] \n  21 -> 22 [size =\"22552576\"]\n  22 [size=\"90442240\", alpha=\"0.02\", expect_size=\"36176896\"] \n  22 -> 23 [size =\"36176896\"]\n  23 [size=\"77506560\", alpha=\"0.13\", expect_size=\"31002624\"] \n  23 -> 24 [size =\"31002624\"]\n  24 [size=\"26071040\", alpha=\"0.06\", expect_size=\"10428416\"] \n  24 -> 25 [size =\"10428416\"]\n  25 [size=\"18314240\", alpha=\"0.03\", expect_size=\"7325696\"] \n  25 -> 26 [size =\"7325696\"]\n  26 [size=\"55114240\", alpha=\"0.07\", expect_size=\"22045696\"] \n  26 -> 27 [size =\"22045696\"]\n  27 [size=\"39257600\", alpha=\"0.08\", expect_size=\"15703040\"] \n  27 -> 28 [size =\"15703040\"]\n  28 [size=\"77273600\", alpha=\"0.05\", expect_size=\"30909440\"] \n  28 -> 29 [size =\"30909440\"]\n  29 [size=\"30886400\", alpha=\"0.12\", expect_size=\"12354560\"] \n  29 -> 30 [size =\"12354560\"]\n  30 [size=\"23859200\", alpha=\"0.16\", expect_size=\"9543680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33564672\", alpha=\"0.06\", expect_size=\"16782336\"] \n  2 [size=\"26390528\", alpha=\"0.17\", expect_size=\"13195264\"] \n  2 -> 13 [size =\"13195264\"]\n  3 [size=\"46417920\", alpha=\"0.16\", expect_size=\"23208960\"] \n  3 -> 10 [size =\"23208960\"]\n  4 [size=\"77234176\", alpha=\"0.12\", expect_size=\"38617088\"] \n  4 -> 11 [size =\"38617088\"]\n  4 -> 16 [size =\"38617088\"]\n  5 [size=\"19032064\", alpha=\"0.06\", expect_size=\"9516032\"] \n  5 -> 10 [size =\"9516032\"]\n  5 -> 12 [size =\"9516032\"]\n  6 [size=\"28502016\", alpha=\"0.09\", expect_size=\"14251008\"] \n  6 -> 12 [size =\"14251008\"]\n  6 -> 15 [size =\"14251008\"]\n  7 [size=\"20606976\", alpha=\"0.00\", expect_size=\"10303488\"] \n  7 -> 10 [size =\"10303488\"]\n  7 -> 11 [size =\"10303488\"]\n  7 -> 12 [size =\"10303488\"]\n  7 -> 14 [size =\"10303488\"]\n  7 -> 15 [size =\"10303488\"]\n  8 [size=\"67497984\", alpha=\"0.03\", expect_size=\"33748992\"] \n  8 -> 10 [size =\"33748992\"]\n  8 -> 11 [size =\"33748992\"]\n  8 -> 12 [size =\"33748992\"]\n  8 -> 15 [size =\"33748992\"]\n  8 -> 15 [size =\"33748992\"]\n  9 [size=\"91047936\", alpha=\"0.19\", expect_size=\"45523968\"] \n  9 -> 12 [size =\"45523968\"]\n  10 [size=\"38371328\", alpha=\"0.18\", expect_size=\"19185664\"] \n  10 -> 20 [size =\"19185664\"]\n  10 -> 24 [size =\"19185664\"]\n  10 -> 25 [size =\"19185664\"]\n  10 -> 26 [size =\"19185664\"]\n  11 [size=\"72706048\", alpha=\"0.01\", expect_size=\"36353024\"] \n  11 -> 18 [size =\"36353024\"]\n  11 -> 19 [size =\"36353024\"]\n  11 -> 20 [size =\"36353024\"]\n  11 -> 22 [size =\"36353024\"]\n  11 -> 24 [size =\"36353024\"]\n  11 -> 25 [size =\"36353024\"]\n  11 -> 26 [size =\"36353024\"]\n  11 -> 27 [size =\"36353024\"]\n  12 [size=\"100849664\", alpha=\"0.20\", expect_size=\"50424832\"] \n  12 -> 18 [size =\"50424832\"]\n  12 -> 21 [size =\"50424832\"]\n  12 -> 22 [size =\"50424832\"]\n  12 -> 24 [size =\"50424832\"]\n  12 -> 27 [size =\"50424832\"]\n  12 -> 28 [size =\"50424832\"]\n  13 [size=\"88674304\", alpha=\"0.20\", expect_size=\"44337152\"] \n  13 -> 18 [size =\"44337152\"]\n  13 -> 21 [size =\"44337152\"]\n  13 -> 22 [size =\"44337152\"]\n  13 -> 27 [size =\"44337152\"]\n  14 [size=\"71321600\", alpha=\"0.11\", expect_size=\"35660800\"] \n  14 -> 18 [size =\"35660800\"]\n  14 -> 23 [size =\"35660800\"]\n  14 -> 26 [size =\"35660800\"]\n  15 [size=\"33814528\", alpha=\"0.13\", expect_size=\"16907264\"] \n  15 -> 26 [size =\"16907264\"]\n  15 -> 27 [size =\"16907264\"]\n  15 -> 28 [size =\"16907264\"]\n  16 [size=\"61972480\", alpha=\"0.03\", expect_size=\"30986240\"] \n  16 -> 17 [size =\"30986240\"]\n  16 -> 19 [size =\"30986240\"]\n  16 -> 23 [size =\"30986240\"]\n  16 -> 25 [size =\"30986240\"]\n  17 [size=\"104148992\", alpha=\"0.04\", expect_size=\"52074496\"] \n  18 [size=\"11755520\", alpha=\"0.07\", expect_size=\"5877760\"] \n  19 [size=\"24156160\", alpha=\"0.05\", expect_size=\"12078080\"] \n  19 -> 30 [size =\"12078080\"]\n  20 [size=\"21377024\", alpha=\"0.02\", expect_size=\"10688512\"] \n  20 -> 29 [size =\"10688512\"]\n  20 -> 30 [size =\"10688512\"]\n  21 [size=\"12988416\", alpha=\"0.05\", expect_size=\"6494208\"] \n  21 -> 29 [size =\"6494208\"]\n  22 [size=\"15351808\", alpha=\"0.10\", expect_size=\"7675904\"] \n  22 -> 30 [size =\"7675904\"]\n  23 [size=\"13049856\", alpha=\"0.04\", expect_size=\"6524928\"] \n  24 [size=\"12666880\", alpha=\"0.11\", expect_size=\"6333440\"] \n  24 -> 30 [size =\"6333440\"]\n  25 [size=\"62654464\", alpha=\"0.01\", expect_size=\"31327232\"] \n  25 -> 29 [size =\"31327232\"]\n  26 [size=\"31408128\", alpha=\"0.14\", expect_size=\"15704064\"] \n  27 [size=\"47577088\", alpha=\"0.09\", expect_size=\"23788544\"] \n  28 [size=\"68265984\", alpha=\"0.16\", expect_size=\"34132992\"] \n  29 [size=\"103137280\", alpha=\"0.01\", expect_size=\"51568640\"] \n  30 [size=\"30636032\", alpha=\"0.11\", expect_size=\"15318016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21161984\", alpha=\"0.10\", expect_size=\"10580992\"] \n  1 -> 12 [size =\"10580992\"]\n  1 -> 15 [size =\"10580992\"]\n  1 -> 19 [size =\"10580992\"]\n  2 [size=\"34936832\", alpha=\"0.01\", expect_size=\"17468416\"] \n  2 -> 13 [size =\"17468416\"]\n  2 -> 17 [size =\"17468416\"]\n  2 -> 22 [size =\"17468416\"]\n  3 [size=\"48250880\", alpha=\"0.12\", expect_size=\"24125440\"] \n  3 -> 12 [size =\"24125440\"]\n  3 -> 13 [size =\"24125440\"]\n  3 -> 17 [size =\"24125440\"]\n  3 -> 19 [size =\"24125440\"]\n  3 -> 22 [size =\"24125440\"]\n  4 [size=\"39862272\", alpha=\"0.10\", expect_size=\"19931136\"] \n  4 -> 14 [size =\"19931136\"]\n  4 -> 17 [size =\"19931136\"]\n  4 -> 18 [size =\"19931136\"]\n  4 -> 23 [size =\"19931136\"]\n  5 [size=\"53338112\", alpha=\"0.14\", expect_size=\"26669056\"] \n  5 -> 14 [size =\"26669056\"]\n  5 -> 20 [size =\"26669056\"]\n  5 -> 22 [size =\"26669056\"]\n  6 [size=\"11876352\", alpha=\"0.11\", expect_size=\"5938176\"] \n  6 -> 12 [size =\"5938176\"]\n  7 [size=\"11689984\", alpha=\"0.20\", expect_size=\"5844992\"] \n  7 -> 13 [size =\"5844992\"]\n  7 -> 16 [size =\"5844992\"]\n  7 -> 18 [size =\"5844992\"]\n  7 -> 20 [size =\"5844992\"]\n  7 -> 21 [size =\"5844992\"]\n  7 -> 22 [size =\"5844992\"]\n  8 [size=\"63545344\", alpha=\"0.00\", expect_size=\"31772672\"] \n  8 -> 13 [size =\"31772672\"]\n  8 -> 21 [size =\"31772672\"]\n  8 -> 22 [size =\"31772672\"]\n  9 [size=\"61227008\", alpha=\"0.04\", expect_size=\"30613504\"] \n  9 -> 13 [size =\"30613504\"]\n  9 -> 14 [size =\"30613504\"]\n  9 -> 20 [size =\"30613504\"]\n  9 -> 21 [size =\"30613504\"]\n  9 -> 24 [size =\"30613504\"]\n  10 [size=\"28932096\", alpha=\"0.05\", expect_size=\"14466048\"] \n  10 -> 13 [size =\"14466048\"]\n  10 -> 17 [size =\"14466048\"]\n  10 -> 18 [size =\"14466048\"]\n  10 -> 21 [size =\"14466048\"]\n  11 [size=\"76406784\", alpha=\"0.16\", expect_size=\"38203392\"] \n  11 -> 17 [size =\"38203392\"]\n  12 [size=\"31014912\", alpha=\"0.07\", expect_size=\"15507456\"] \n  12 -> 25 [size =\"15507456\"]\n  12 -> 26 [size =\"15507456\"]\n  13 [size=\"34676736\", alpha=\"0.14\", expect_size=\"17338368\"] \n  13 -> 25 [size =\"17338368\"]\n  14 [size=\"92895232\", alpha=\"0.04\", expect_size=\"46447616\"] \n  14 -> 26 [size =\"46447616\"]\n  14 -> 28 [size =\"46447616\"]\n  15 [size=\"47564800\", alpha=\"0.08\", expect_size=\"23782400\"] \n  16 [size=\"17584128\", alpha=\"0.11\", expect_size=\"8792064\"] \n  16 -> 25 [size =\"8792064\"]\n  17 [size=\"69728256\", alpha=\"0.17\", expect_size=\"34864128\"] \n  18 [size=\"67551232\", alpha=\"0.08\", expect_size=\"33775616\"] \n  19 [size=\"69326848\", alpha=\"0.18\", expect_size=\"34663424\"] \n  19 -> 25 [size =\"34663424\"]\n  19 -> 27 [size =\"34663424\"]\n  20 [size=\"88064000\", alpha=\"0.04\", expect_size=\"44032000\"] \n  20 -> 25 [size =\"44032000\"]\n  20 -> 27 [size =\"44032000\"]\n  20 -> 29 [size =\"44032000\"]\n  21 [size=\"16713728\", alpha=\"0.13\", expect_size=\"8356864\"] \n  21 -> 27 [size =\"8356864\"]\n  22 [size=\"92127232\", alpha=\"0.07\", expect_size=\"46063616\"] \n  23 [size=\"31758336\", alpha=\"0.09\", expect_size=\"15879168\"] \n  23 -> 28 [size =\"15879168\"]\n  23 -> 29 [size =\"15879168\"]\n  24 [size=\"98215936\", alpha=\"0.18\", expect_size=\"49107968\"] \n  24 -> 25 [size =\"49107968\"]\n  24 -> 26 [size =\"49107968\"]\n  25 [size=\"24713216\", alpha=\"0.15\", expect_size=\"12356608\"] \n  26 [size=\"61427712\", alpha=\"0.13\", expect_size=\"30713856\"] \n  27 [size=\"17698816\", alpha=\"0.11\", expect_size=\"8849408\"] \n  28 [size=\"95799296\", alpha=\"0.20\", expect_size=\"47899648\"] \n  28 -> 30 [size =\"47899648\"]\n  29 [size=\"39038976\", alpha=\"0.20\", expect_size=\"19519488\"] \n  29 -> 30 [size =\"19519488\"]\n  30 [size=\"28667904\", alpha=\"0.04\", expect_size=\"14333952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70721536\", alpha=\"0.10\", expect_size=\"35360768\"] \n  1 -> 12 [size =\"35360768\"]\n  1 -> 14 [size =\"35360768\"]\n  1 -> 18 [size =\"35360768\"]\n  1 -> 20 [size =\"35360768\"]\n  1 -> 20 [size =\"35360768\"]\n  2 [size=\"79874048\", alpha=\"0.03\", expect_size=\"39937024\"] \n  2 -> 11 [size =\"39937024\"]\n  2 -> 12 [size =\"39937024\"]\n  2 -> 16 [size =\"39937024\"]\n  2 -> 18 [size =\"39937024\"]\n  3 [size=\"76679168\", alpha=\"0.13\", expect_size=\"38339584\"] \n  3 -> 13 [size =\"38339584\"]\n  3 -> 14 [size =\"38339584\"]\n  3 -> 15 [size =\"38339584\"]\n  3 -> 19 [size =\"38339584\"]\n  4 [size=\"49340416\", alpha=\"0.20\", expect_size=\"24670208\"] \n  4 -> 15 [size =\"24670208\"]\n  4 -> 19 [size =\"24670208\"]\n  5 [size=\"51054592\", alpha=\"0.04\", expect_size=\"25527296\"] \n  5 -> 16 [size =\"25527296\"]\n  5 -> 17 [size =\"25527296\"]\n  6 [size=\"15988736\", alpha=\"0.06\", expect_size=\"7994368\"] \n  6 -> 12 [size =\"7994368\"]\n  6 -> 17 [size =\"7994368\"]\n  7 [size=\"24541184\", alpha=\"0.10\", expect_size=\"12270592\"] \n  7 -> 17 [size =\"12270592\"]\n  7 -> 17 [size =\"12270592\"]\n  8 [size=\"50321408\", alpha=\"0.09\", expect_size=\"25160704\"] \n  8 -> 12 [size =\"25160704\"]\n  8 -> 14 [size =\"25160704\"]\n  8 -> 17 [size =\"25160704\"]\n  9 [size=\"94799872\", alpha=\"0.12\", expect_size=\"47399936\"] \n  9 -> 11 [size =\"47399936\"]\n  9 -> 15 [size =\"47399936\"]\n  9 -> 17 [size =\"47399936\"]\n  10 [size=\"49309696\", alpha=\"0.05\", expect_size=\"24654848\"] \n  10 -> 13 [size =\"24654848\"]\n  10 -> 15 [size =\"24654848\"]\n  10 -> 18 [size =\"24654848\"]\n  10 -> 19 [size =\"24654848\"]\n  10 -> 20 [size =\"24654848\"]\n  11 [size=\"16015360\", alpha=\"0.15\", expect_size=\"8007680\"] \n  11 -> 21 [size =\"8007680\"]\n  11 -> 24 [size =\"8007680\"]\n  11 -> 25 [size =\"8007680\"]\n  11 -> 26 [size =\"8007680\"]\n  11 -> 28 [size =\"8007680\"]\n  12 [size=\"62502912\", alpha=\"0.12\", expect_size=\"31251456\"] \n  12 -> 21 [size =\"31251456\"]\n  12 -> 22 [size =\"31251456\"]\n  12 -> 23 [size =\"31251456\"]\n  12 -> 24 [size =\"31251456\"]\n  12 -> 28 [size =\"31251456\"]\n  13 [size=\"78276608\", alpha=\"0.20\", expect_size=\"39138304\"] \n  13 -> 21 [size =\"39138304\"]\n  13 -> 22 [size =\"39138304\"]\n  13 -> 25 [size =\"39138304\"]\n  13 -> 27 [size =\"39138304\"]\n  13 -> 28 [size =\"39138304\"]\n  13 -> 30 [size =\"39138304\"]\n  14 [size=\"46333952\", alpha=\"0.08\", expect_size=\"23166976\"] \n  14 -> 22 [size =\"23166976\"]\n  14 -> 30 [size =\"23166976\"]\n  15 [size=\"45639680\", alpha=\"0.04\", expect_size=\"22819840\"] \n  15 -> 22 [size =\"22819840\"]\n  15 -> 24 [size =\"22819840\"]\n  16 [size=\"63313920\", alpha=\"0.00\", expect_size=\"31656960\"] \n  16 -> 23 [size =\"31656960\"]\n  16 -> 26 [size =\"31656960\"]\n  16 -> 28 [size =\"31656960\"]\n  17 [size=\"89845760\", alpha=\"0.09\", expect_size=\"44922880\"] \n  17 -> 25 [size =\"44922880\"]\n  17 -> 27 [size =\"44922880\"]\n  17 -> 28 [size =\"44922880\"]\n  17 -> 29 [size =\"44922880\"]\n  18 [size=\"44496896\", alpha=\"0.19\", expect_size=\"22248448\"] \n  18 -> 23 [size =\"22248448\"]\n  18 -> 25 [size =\"22248448\"]\n  18 -> 27 [size =\"22248448\"]\n  18 -> 29 [size =\"22248448\"]\n  19 [size=\"89204736\", alpha=\"0.13\", expect_size=\"44602368\"] \n  19 -> 21 [size =\"44602368\"]\n  19 -> 22 [size =\"44602368\"]\n  19 -> 24 [size =\"44602368\"]\n  19 -> 25 [size =\"44602368\"]\n  19 -> 27 [size =\"44602368\"]\n  19 -> 30 [size =\"44602368\"]\n  20 [size=\"51329024\", alpha=\"0.04\", expect_size=\"25664512\"] \n  20 -> 21 [size =\"25664512\"]\n  20 -> 23 [size =\"25664512\"]\n  20 -> 25 [size =\"25664512\"]\n  20 -> 29 [size =\"25664512\"]\n  21 [size=\"75868160\", alpha=\"0.08\", expect_size=\"37934080\"] \n  22 [size=\"50921472\", alpha=\"0.07\", expect_size=\"25460736\"] \n  23 [size=\"11100160\", alpha=\"0.20\", expect_size=\"5550080\"] \n  24 [size=\"104439808\", alpha=\"0.01\", expect_size=\"52219904\"] \n  25 [size=\"47259648\", alpha=\"0.11\", expect_size=\"23629824\"] \n  26 [size=\"66109440\", alpha=\"0.02\", expect_size=\"33054720\"] \n  27 [size=\"68397056\", alpha=\"0.15\", expect_size=\"34198528\"] \n  28 [size=\"14233600\", alpha=\"0.18\", expect_size=\"7116800\"] \n  29 [size=\"101742592\", alpha=\"0.18\", expect_size=\"50871296\"] \n  30 [size=\"66514944\", alpha=\"0.06\", expect_size=\"33257472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123489280\", alpha=\"0.17\", expect_size=\"49395712\"] \n  1 -> 5 [size =\"49395712\"]\n  2 [size=\"64284160\", alpha=\"0.14\", expect_size=\"25713664\"] \n  2 -> 6 [size =\"25713664\"]\n  2 -> 8 [size =\"25713664\"]\n  3 [size=\"14668800\", alpha=\"0.17\", expect_size=\"5867520\"] \n  3 -> 7 [size =\"5867520\"]\n  3 -> 9 [size =\"5867520\"]\n  4 [size=\"92654080\", alpha=\"0.19\", expect_size=\"37061632\"] \n  4 -> 6 [size =\"37061632\"]\n  4 -> 7 [size =\"37061632\"]\n  4 -> 9 [size =\"37061632\"]\n  5 [size=\"31354880\", alpha=\"0.05\", expect_size=\"12541952\"] \n  6 [size=\"109263360\", alpha=\"0.08\", expect_size=\"43705344\"] \n  6 -> 10 [size =\"43705344\"]\n  7 [size=\"68408320\", alpha=\"0.16\", expect_size=\"27363328\"] \n  7 -> 13 [size =\"27363328\"]\n  8 [size=\"59701760\", alpha=\"0.03\", expect_size=\"23880704\"] \n  8 -> 11 [size =\"23880704\"]\n  8 -> 12 [size =\"23880704\"]\n  9 [size=\"70164480\", alpha=\"0.08\", expect_size=\"28065792\"] \n  10 [size=\"103242240\", alpha=\"0.17\", expect_size=\"41296896\"] \n  10 -> 16 [size =\"41296896\"]\n  10 -> 17 [size =\"41296896\"]\n  11 [size=\"39480320\", alpha=\"0.02\", expect_size=\"15792128\"] \n  11 -> 14 [size =\"15792128\"]\n  11 -> 15 [size =\"15792128\"]\n  12 [size=\"24527360\", alpha=\"0.12\", expect_size=\"9810944\"] \n  12 -> 14 [size =\"9810944\"]\n  12 -> 16 [size =\"9810944\"]\n  13 [size=\"109135360\", alpha=\"0.12\", expect_size=\"43654144\"] \n  14 [size=\"91732480\", alpha=\"0.06\", expect_size=\"36692992\"] \n  14 -> 21 [size =\"36692992\"]\n  14 -> 22 [size =\"36692992\"]\n  15 [size=\"85683200\", alpha=\"0.05\", expect_size=\"34273280\"] \n  15 -> 18 [size =\"34273280\"]\n  15 -> 19 [size =\"34273280\"]\n  16 [size=\"116602880\", alpha=\"0.00\", expect_size=\"46641152\"] \n  16 -> 20 [size =\"46641152\"]\n  16 -> 22 [size =\"46641152\"]\n  17 [size=\"44275200\", alpha=\"0.08\", expect_size=\"17710080\"] \n  18 [size=\"19627520\", alpha=\"0.13\", expect_size=\"7851008\"] \n  18 -> 23 [size =\"7851008\"]\n  19 [size=\"37475840\", alpha=\"0.17\", expect_size=\"14990336\"] \n  19 -> 26 [size =\"14990336\"]\n  20 [size=\"85286400\", alpha=\"0.19\", expect_size=\"34114560\"] \n  20 -> 25 [size =\"34114560\"]\n  21 [size=\"66577920\", alpha=\"0.19\", expect_size=\"26631168\"] \n  21 -> 26 [size =\"26631168\"]\n  22 [size=\"80947200\", alpha=\"0.08\", expect_size=\"32378880\"] \n  22 -> 24 [size =\"32378880\"]\n  23 [size=\"34944000\", alpha=\"0.17\", expect_size=\"13977600\"] \n  23 -> 27 [size =\"13977600\"]\n  23 -> 28 [size =\"13977600\"]\n  23 -> 29 [size =\"13977600\"]\n  23 -> 30 [size =\"13977600\"]\n  24 [size=\"104481280\", alpha=\"0.20\", expect_size=\"41792512\"] \n  25 [size=\"23060480\", alpha=\"0.05\", expect_size=\"9224192\"] \n  25 -> 27 [size =\"9224192\"]\n  25 -> 30 [size =\"9224192\"]\n  26 [size=\"51509760\", alpha=\"0.07\", expect_size=\"20603904\"] \n  27 [size=\"52659200\", alpha=\"0.19\", expect_size=\"21063680\"] \n  28 [size=\"101191680\", alpha=\"0.18\", expect_size=\"40476672\"] \n  29 [size=\"59678720\", alpha=\"0.07\", expect_size=\"23871488\"] \n  30 [size=\"44881920\", alpha=\"0.11\", expect_size=\"17952768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18200576\", alpha=\"0.08\", expect_size=\"9100288\"] \n  1 -> 12 [size =\"9100288\"]\n  1 -> 13 [size =\"9100288\"]\n  1 -> 14 [size =\"9100288\"]\n  1 -> 15 [size =\"9100288\"]\n  1 -> 16 [size =\"9100288\"]\n  1 -> 18 [size =\"9100288\"]\n  2 [size=\"21331968\", alpha=\"0.14\", expect_size=\"10665984\"] \n  2 -> 11 [size =\"10665984\"]\n  2 -> 12 [size =\"10665984\"]\n  2 -> 15 [size =\"10665984\"]\n  2 -> 19 [size =\"10665984\"]\n  3 [size=\"54898688\", alpha=\"0.06\", expect_size=\"27449344\"] \n  3 -> 11 [size =\"27449344\"]\n  3 -> 14 [size =\"27449344\"]\n  3 -> 15 [size =\"27449344\"]\n  3 -> 17 [size =\"27449344\"]\n  3 -> 19 [size =\"27449344\"]\n  4 [size=\"31158272\", alpha=\"0.04\", expect_size=\"15579136\"] \n  4 -> 11 [size =\"15579136\"]\n  4 -> 15 [size =\"15579136\"]\n  4 -> 15 [size =\"15579136\"]\n  4 -> 18 [size =\"15579136\"]\n  5 [size=\"95350784\", alpha=\"0.14\", expect_size=\"47675392\"] \n  5 -> 11 [size =\"47675392\"]\n  5 -> 12 [size =\"47675392\"]\n  5 -> 16 [size =\"47675392\"]\n  5 -> 17 [size =\"47675392\"]\n  5 -> 18 [size =\"47675392\"]\n  5 -> 19 [size =\"47675392\"]\n  6 [size=\"86011904\", alpha=\"0.10\", expect_size=\"43005952\"] \n  6 -> 11 [size =\"43005952\"]\n  6 -> 14 [size =\"43005952\"]\n  6 -> 15 [size =\"43005952\"]\n  6 -> 18 [size =\"43005952\"]\n  6 -> 19 [size =\"43005952\"]\n  7 [size=\"22218752\", alpha=\"0.16\", expect_size=\"11109376\"] \n  7 -> 11 [size =\"11109376\"]\n  7 -> 14 [size =\"11109376\"]\n  7 -> 15 [size =\"11109376\"]\n  7 -> 16 [size =\"11109376\"]\n  7 -> 18 [size =\"11109376\"]\n  7 -> 19 [size =\"11109376\"]\n  8 [size=\"46684160\", alpha=\"0.01\", expect_size=\"23342080\"] \n  8 -> 12 [size =\"23342080\"]\n  8 -> 15 [size =\"23342080\"]\n  8 -> 18 [size =\"23342080\"]\n  9 [size=\"82409472\", alpha=\"0.12\", expect_size=\"41204736\"] \n  9 -> 12 [size =\"41204736\"]\n  9 -> 14 [size =\"41204736\"]\n  9 -> 15 [size =\"41204736\"]\n  9 -> 18 [size =\"41204736\"]\n  10 [size=\"37249024\", alpha=\"0.11\", expect_size=\"18624512\"] \n  10 -> 11 [size =\"18624512\"]\n  10 -> 12 [size =\"18624512\"]\n  10 -> 16 [size =\"18624512\"]\n  10 -> 18 [size =\"18624512\"]\n  11 [size=\"90089472\", alpha=\"0.08\", expect_size=\"45044736\"] \n  11 -> 20 [size =\"45044736\"]\n  11 -> 26 [size =\"45044736\"]\n  11 -> 29 [size =\"45044736\"]\n  12 [size=\"33695744\", alpha=\"0.08\", expect_size=\"16847872\"] \n  12 -> 20 [size =\"16847872\"]\n  12 -> 26 [size =\"16847872\"]\n  12 -> 28 [size =\"16847872\"]\n  13 [size=\"100757504\", alpha=\"0.11\", expect_size=\"50378752\"] \n  13 -> 20 [size =\"50378752\"]\n  13 -> 22 [size =\"50378752\"]\n  13 -> 26 [size =\"50378752\"]\n  13 -> 28 [size =\"50378752\"]\n  14 [size=\"36663296\", alpha=\"0.19\", expect_size=\"18331648\"] \n  14 -> 20 [size =\"18331648\"]\n  14 -> 21 [size =\"18331648\"]\n  14 -> 23 [size =\"18331648\"]\n  14 -> 25 [size =\"18331648\"]\n  14 -> 26 [size =\"18331648\"]\n  14 -> 28 [size =\"18331648\"]\n  14 -> 29 [size =\"18331648\"]\n  15 [size=\"54509568\", alpha=\"0.15\", expect_size=\"27254784\"] \n  15 -> 20 [size =\"27254784\"]\n  15 -> 23 [size =\"27254784\"]\n  15 -> 26 [size =\"27254784\"]\n  16 [size=\"28033024\", alpha=\"0.09\", expect_size=\"14016512\"] \n  16 -> 20 [size =\"14016512\"]\n  16 -> 22 [size =\"14016512\"]\n  16 -> 23 [size =\"14016512\"]\n  16 -> 26 [size =\"14016512\"]\n  16 -> 27 [size =\"14016512\"]\n  16 -> 29 [size =\"14016512\"]\n  17 [size=\"73007104\", alpha=\"0.14\", expect_size=\"36503552\"] \n  17 -> 20 [size =\"36503552\"]\n  17 -> 21 [size =\"36503552\"]\n  17 -> 23 [size =\"36503552\"]\n  17 -> 26 [size =\"36503552\"]\n  17 -> 28 [size =\"36503552\"]\n  18 [size=\"54360064\", alpha=\"0.09\", expect_size=\"27180032\"] \n  18 -> 20 [size =\"27180032\"]\n  18 -> 21 [size =\"27180032\"]\n  18 -> 23 [size =\"27180032\"]\n  18 -> 24 [size =\"27180032\"]\n  18 -> 25 [size =\"27180032\"]\n  18 -> 26 [size =\"27180032\"]\n  19 [size=\"60930048\", alpha=\"0.09\", expect_size=\"30465024\"] \n  19 -> 20 [size =\"30465024\"]\n  19 -> 23 [size =\"30465024\"]\n  19 -> 24 [size =\"30465024\"]\n  19 -> 26 [size =\"30465024\"]\n  20 [size=\"24246272\", alpha=\"0.11\", expect_size=\"12123136\"] \n  21 [size=\"78499840\", alpha=\"0.16\", expect_size=\"39249920\"] \n  21 -> 30 [size =\"39249920\"]\n  22 [size=\"21229568\", alpha=\"0.02\", expect_size=\"10614784\"] \n  22 -> 30 [size =\"10614784\"]\n  23 [size=\"58433536\", alpha=\"0.18\", expect_size=\"29216768\"] \n  23 -> 30 [size =\"29216768\"]\n  24 [size=\"13936640\", alpha=\"0.18\", expect_size=\"6968320\"] \n  24 -> 30 [size =\"6968320\"]\n  25 [size=\"11352064\", alpha=\"0.17\", expect_size=\"5676032\"] \n  25 -> 30 [size =\"5676032\"]\n  26 [size=\"81940480\", alpha=\"0.11\", expect_size=\"40970240\"] \n  27 [size=\"31590400\", alpha=\"0.08\", expect_size=\"15795200\"] \n  28 [size=\"99237888\", alpha=\"0.12\", expect_size=\"49618944\"] \n  28 -> 30 [size =\"49618944\"]\n  29 [size=\"47753216\", alpha=\"0.12\", expect_size=\"23876608\"] \n  29 -> 30 [size =\"23876608\"]\n  30 [size=\"89540608\", alpha=\"0.17\", expect_size=\"44770304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72327680\", alpha=\"0.19\", expect_size=\"28931072\"] \n  1 -> 6 [size =\"28931072\"]\n  1 -> 10 [size =\"28931072\"]\n  2 [size=\"72268800\", alpha=\"0.11\", expect_size=\"28907520\"] \n  2 -> 8 [size =\"28907520\"]\n  3 [size=\"57630720\", alpha=\"0.01\", expect_size=\"23052288\"] \n  3 -> 6 [size =\"23052288\"]\n  3 -> 7 [size =\"23052288\"]\n  3 -> 9 [size =\"23052288\"]\n  4 [size=\"65935360\", alpha=\"0.06\", expect_size=\"26374144\"] \n  4 -> 6 [size =\"26374144\"]\n  4 -> 7 [size =\"26374144\"]\n  4 -> 9 [size =\"26374144\"]\n  5 [size=\"47357440\", alpha=\"0.18\", expect_size=\"18942976\"] \n  6 [size=\"41208320\", alpha=\"0.10\", expect_size=\"16483328\"] \n  6 -> 12 [size =\"16483328\"]\n  7 [size=\"51801600\", alpha=\"0.13\", expect_size=\"20720640\"] \n  7 -> 11 [size =\"20720640\"]\n  8 [size=\"18703360\", alpha=\"0.19\", expect_size=\"7481344\"] \n  8 -> 11 [size =\"7481344\"]\n  8 -> 12 [size =\"7481344\"]\n  8 -> 13 [size =\"7481344\"]\n  8 -> 14 [size =\"7481344\"]\n  9 [size=\"89228800\", alpha=\"0.07\", expect_size=\"35691520\"] \n  9 -> 12 [size =\"35691520\"]\n  10 [size=\"32798720\", alpha=\"0.16\", expect_size=\"13119488\"] \n  11 [size=\"31275520\", alpha=\"0.05\", expect_size=\"12510208\"] \n  11 -> 18 [size =\"12510208\"]\n  12 [size=\"27304960\", alpha=\"0.07\", expect_size=\"10921984\"] \n  12 -> 16 [size =\"10921984\"]\n  12 -> 17 [size =\"10921984\"]\n  12 -> 19 [size =\"10921984\"]\n  13 [size=\"89441280\", alpha=\"0.06\", expect_size=\"35776512\"] \n  13 -> 15 [size =\"35776512\"]\n  13 -> 18 [size =\"35776512\"]\n  14 [size=\"97717760\", alpha=\"0.07\", expect_size=\"39087104\"] \n  14 -> 16 [size =\"39087104\"]\n  15 [size=\"15334400\", alpha=\"0.16\", expect_size=\"6133760\"] \n  16 [size=\"120576000\", alpha=\"0.13\", expect_size=\"48230400\"] \n  16 -> 20 [size =\"48230400\"]\n  16 -> 22 [size =\"48230400\"]\n  17 [size=\"60940800\", alpha=\"0.10\", expect_size=\"24376320\"] \n  17 -> 20 [size =\"24376320\"]\n  17 -> 22 [size =\"24376320\"]\n  17 -> 23 [size =\"24376320\"]\n  18 [size=\"20810240\", alpha=\"0.19\", expect_size=\"8324096\"] \n  18 -> 21 [size =\"8324096\"]\n  19 [size=\"16501760\", alpha=\"0.05\", expect_size=\"6600704\"] \n  20 [size=\"56071680\", alpha=\"0.19\", expect_size=\"22428672\"] \n  21 [size=\"34449920\", alpha=\"0.04\", expect_size=\"13779968\"] \n  21 -> 24 [size =\"13779968\"]\n  21 -> 25 [size =\"13779968\"]\n  21 -> 26 [size =\"13779968\"]\n  21 -> 27 [size =\"13779968\"]\n  22 [size=\"62172160\", alpha=\"0.18\", expect_size=\"24868864\"] \n  22 -> 26 [size =\"24868864\"]\n  23 [size=\"104153600\", alpha=\"0.19\", expect_size=\"41661440\"] \n  23 -> 27 [size =\"41661440\"]\n  24 [size=\"18757120\", alpha=\"0.10\", expect_size=\"7502848\"] \n  24 -> 28 [size =\"7502848\"]\n  25 [size=\"59558400\", alpha=\"0.06\", expect_size=\"23823360\"] \n  25 -> 30 [size =\"23823360\"]\n  26 [size=\"34035200\", alpha=\"0.08\", expect_size=\"13614080\"] \n  26 -> 29 [size =\"13614080\"]\n  27 [size=\"110730240\", alpha=\"0.15\", expect_size=\"44292096\"] \n  27 -> 30 [size =\"44292096\"]\n  28 [size=\"54192640\", alpha=\"0.04\", expect_size=\"21677056\"] \n  29 [size=\"48924160\", alpha=\"0.06\", expect_size=\"19569664\"] \n  30 [size=\"81000960\", alpha=\"0.11\", expect_size=\"32400384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42806613\", alpha=\"0.18\", expect_size=\"12841984\"] \n  1 -> 15 [size =\"12841984\"]\n  1 -> 18 [size =\"12841984\"]\n  2 [size=\"50244267\", alpha=\"0.11\", expect_size=\"15073280\"] \n  2 -> 15 [size =\"15073280\"]\n  2 -> 18 [size =\"15073280\"]\n  2 -> 20 [size =\"15073280\"]\n  3 [size=\"117346987\", alpha=\"0.19\", expect_size=\"35204096\"] \n  3 -> 19 [size =\"35204096\"]\n  4 [size=\"69171200\", alpha=\"0.08\", expect_size=\"20751360\"] \n  5 [size=\"173004800\", alpha=\"0.12\", expect_size=\"51901440\"] \n  5 -> 14 [size =\"51901440\"]\n  6 [size=\"46981120\", alpha=\"0.12\", expect_size=\"14094336\"] \n  6 -> 14 [size =\"14094336\"]\n  6 -> 16 [size =\"14094336\"]\n  7 [size=\"96153600\", alpha=\"0.12\", expect_size=\"28846080\"] \n  7 -> 18 [size =\"28846080\"]\n  8 [size=\"88773973\", alpha=\"0.16\", expect_size=\"26632192\"] \n  8 -> 17 [size =\"26632192\"]\n  8 -> 18 [size =\"26632192\"]\n  9 [size=\"104041813\", alpha=\"0.11\", expect_size=\"31212544\"] \n  9 -> 15 [size =\"31212544\"]\n  9 -> 17 [size =\"31212544\"]\n  9 -> 18 [size =\"31212544\"]\n  10 [size=\"126764373\", alpha=\"0.15\", expect_size=\"38029312\"] \n  10 -> 15 [size =\"38029312\"]\n  10 -> 18 [size =\"38029312\"]\n  11 [size=\"123105280\", alpha=\"0.10\", expect_size=\"36931584\"] \n  11 -> 14 [size =\"36931584\"]\n  12 [size=\"110858240\", alpha=\"0.12\", expect_size=\"33257472\"] \n  12 -> 17 [size =\"33257472\"]\n  13 [size=\"36625067\", alpha=\"0.12\", expect_size=\"10987520\"] \n  13 -> 14 [size =\"10987520\"]\n  13 -> 15 [size =\"10987520\"]\n  14 [size=\"27654827\", alpha=\"0.02\", expect_size=\"8296448\"] \n  14 -> 21 [size =\"8296448\"]\n  14 -> 22 [size =\"8296448\"]\n  14 -> 24 [size =\"8296448\"]\n  14 -> 26 [size =\"8296448\"]\n  14 -> 27 [size =\"8296448\"]\n  14 -> 28 [size =\"8296448\"]\n  14 -> 29 [size =\"8296448\"]\n  15 [size=\"90726400\", alpha=\"0.08\", expect_size=\"27217920\"] \n  15 -> 27 [size =\"27217920\"]\n  15 -> 28 [size =\"27217920\"]\n  15 -> 29 [size =\"27217920\"]\n  16 [size=\"27033600\", alpha=\"0.10\", expect_size=\"8110080\"] \n  16 -> 21 [size =\"8110080\"]\n  16 -> 26 [size =\"8110080\"]\n  16 -> 28 [size =\"8110080\"]\n  17 [size=\"117957973\", alpha=\"0.13\", expect_size=\"35387392\"] \n  17 -> 25 [size =\"35387392\"]\n  18 [size=\"55511040\", alpha=\"0.08\", expect_size=\"16653312\"] \n  18 -> 21 [size =\"16653312\"]\n  18 -> 24 [size =\"16653312\"]\n  18 -> 27 [size =\"16653312\"]\n  18 -> 30 [size =\"16653312\"]\n  19 [size=\"21319680\", alpha=\"0.13\", expect_size=\"6395904\"] \n  19 -> 21 [size =\"6395904\"]\n  19 -> 30 [size =\"6395904\"]\n  20 [size=\"108253867\", alpha=\"0.14\", expect_size=\"32476160\"] \n  20 -> 22 [size =\"32476160\"]\n  20 -> 23 [size =\"32476160\"]\n  20 -> 24 [size =\"32476160\"]\n  20 -> 28 [size =\"32476160\"]\n  20 -> 29 [size =\"32476160\"]\n  21 [size=\"70242987\", alpha=\"0.18\", expect_size=\"21072896\"] \n  22 [size=\"150282240\", alpha=\"0.06\", expect_size=\"45084672\"] \n  23 [size=\"86961493\", alpha=\"0.07\", expect_size=\"26088448\"] \n  24 [size=\"26214400\", alpha=\"0.14\", expect_size=\"7864320\"] \n  25 [size=\"40372907\", alpha=\"0.01\", expect_size=\"12111872\"] \n  26 [size=\"102604800\", alpha=\"0.12\", expect_size=\"30781440\"] \n  27 [size=\"24524800\", alpha=\"0.13\", expect_size=\"7357440\"] \n  28 [size=\"125289813\", alpha=\"0.03\", expect_size=\"37586944\"] \n  29 [size=\"34013867\", alpha=\"0.04\", expect_size=\"10204160\"] \n  30 [size=\"135284053\", alpha=\"0.19\", expect_size=\"40585216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78085120\", alpha=\"0.08\", expect_size=\"31234048\"] \n  1 -> 2 [size =\"31234048\"]\n  1 -> 3 [size =\"31234048\"]\n  2 [size=\"42265600\", alpha=\"0.19\", expect_size=\"16906240\"] \n  3 [size=\"121671680\", alpha=\"0.19\", expect_size=\"48668672\"] \n  3 -> 4 [size =\"48668672\"]\n  4 [size=\"125493760\", alpha=\"0.01\", expect_size=\"50197504\"] \n  4 -> 5 [size =\"50197504\"]\n  5 [size=\"43333120\", alpha=\"0.08\", expect_size=\"17333248\"] \n  5 -> 6 [size =\"17333248\"]\n  6 [size=\"94423040\", alpha=\"0.11\", expect_size=\"37769216\"] \n  6 -> 7 [size =\"37769216\"]\n  7 [size=\"130711040\", alpha=\"0.16\", expect_size=\"52284416\"] \n  7 -> 8 [size =\"52284416\"]\n  8 [size=\"87695360\", alpha=\"0.14\", expect_size=\"35078144\"] \n  8 -> 9 [size =\"35078144\"]\n  9 [size=\"18460160\", alpha=\"0.07\", expect_size=\"7384064\"] \n  9 -> 10 [size =\"7384064\"]\n  10 [size=\"86909440\", alpha=\"0.01\", expect_size=\"34763776\"] \n  10 -> 11 [size =\"34763776\"]\n  11 [size=\"41658880\", alpha=\"0.18\", expect_size=\"16663552\"] \n  11 -> 12 [size =\"16663552\"]\n  12 [size=\"91443200\", alpha=\"0.13\", expect_size=\"36577280\"] \n  12 -> 13 [size =\"36577280\"]\n  13 [size=\"85911040\", alpha=\"0.17\", expect_size=\"34364416\"] \n  13 -> 14 [size =\"34364416\"]\n  13 -> 15 [size =\"34364416\"]\n  14 [size=\"78983680\", alpha=\"0.11\", expect_size=\"31593472\"] \n  14 -> 16 [size =\"31593472\"]\n  15 [size=\"82106880\", alpha=\"0.08\", expect_size=\"32842752\"] \n  15 -> 16 [size =\"32842752\"]\n  16 [size=\"128596480\", alpha=\"0.09\", expect_size=\"51438592\"] \n  16 -> 17 [size =\"51438592\"]\n  16 -> 18 [size =\"51438592\"]\n  17 [size=\"74071040\", alpha=\"0.11\", expect_size=\"29628416\"] \n  17 -> 19 [size =\"29628416\"]\n  18 [size=\"51681280\", alpha=\"0.14\", expect_size=\"20672512\"] \n  18 -> 19 [size =\"20672512\"]\n  19 [size=\"16432640\", alpha=\"0.11\", expect_size=\"6573056\"] \n  19 -> 20 [size =\"6573056\"]\n  19 -> 21 [size =\"6573056\"]\n  20 [size=\"55705600\", alpha=\"0.06\", expect_size=\"22282240\"] \n  20 -> 22 [size =\"22282240\"]\n  21 [size=\"63429120\", alpha=\"0.13\", expect_size=\"25371648\"] \n  21 -> 23 [size =\"25371648\"]\n  22 [size=\"54259200\", alpha=\"0.04\", expect_size=\"21703680\"] \n  22 -> 24 [size =\"21703680\"]\n  22 -> 25 [size =\"21703680\"]\n  23 [size=\"129543680\", alpha=\"0.14\", expect_size=\"51817472\"] \n  23 -> 24 [size =\"51817472\"]\n  24 [size=\"110059520\", alpha=\"0.03\", expect_size=\"44023808\"] \n  24 -> 27 [size =\"44023808\"]\n  25 [size=\"58880000\", alpha=\"0.17\", expect_size=\"23552000\"] \n  25 -> 26 [size =\"23552000\"]\n  26 [size=\"108357120\", alpha=\"0.05\", expect_size=\"43342848\"] \n  26 -> 28 [size =\"43342848\"]\n  27 [size=\"44090880\", alpha=\"0.12\", expect_size=\"17636352\"] \n  27 -> 28 [size =\"17636352\"]\n  27 -> 29 [size =\"17636352\"]\n  28 [size=\"106703360\", alpha=\"0.13\", expect_size=\"42681344\"] \n  28 -> 30 [size =\"42681344\"]\n  29 [size=\"70289920\", alpha=\"0.14\", expect_size=\"28115968\"] \n  29 -> 30 [size =\"28115968\"]\n  30 [size=\"14461440\", alpha=\"0.08\", expect_size=\"5784576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47394133\", alpha=\"0.20\", expect_size=\"14218240\"] \n  1 -> 26 [size =\"14218240\"]\n  1 -> 27 [size =\"14218240\"]\n  1 -> 28 [size =\"14218240\"]\n  1 -> 29 [size =\"14218240\"]\n  2 [size=\"66051413\", alpha=\"0.15\", expect_size=\"19815424\"] \n  2 -> 28 [size =\"19815424\"]\n  3 [size=\"57432747\", alpha=\"0.01\", expect_size=\"17229824\"] \n  3 -> 26 [size =\"17229824\"]\n  3 -> 27 [size =\"17229824\"]\n  3 -> 28 [size =\"17229824\"]\n  4 [size=\"111117653\", alpha=\"0.14\", expect_size=\"33335296\"] \n  4 -> 27 [size =\"33335296\"]\n  4 -> 30 [size =\"33335296\"]\n  5 [size=\"76158293\", alpha=\"0.01\", expect_size=\"22847488\"] \n  5 -> 27 [size =\"22847488\"]\n  6 [size=\"121105067\", alpha=\"0.15\", expect_size=\"36331520\"] \n  6 -> 26 [size =\"36331520\"]\n  6 -> 27 [size =\"36331520\"]\n  6 -> 30 [size =\"36331520\"]\n  7 [size=\"76540587\", alpha=\"0.09\", expect_size=\"22962176\"] \n  7 -> 26 [size =\"22962176\"]\n  8 [size=\"111363413\", alpha=\"0.04\", expect_size=\"33409024\"] \n  8 -> 30 [size =\"33409024\"]\n  9 [size=\"38379520\", alpha=\"0.02\", expect_size=\"11513856\"] \n  10 [size=\"146664107\", alpha=\"0.17\", expect_size=\"43999232\"] \n  10 -> 26 [size =\"43999232\"]\n  10 -> 27 [size =\"43999232\"]\n  11 [size=\"46059520\", alpha=\"0.16\", expect_size=\"13817856\"] \n  11 -> 26 [size =\"13817856\"]\n  11 -> 28 [size =\"13817856\"]\n  12 [size=\"44421120\", alpha=\"0.09\", expect_size=\"13326336\"] \n  12 -> 25 [size =\"13326336\"]\n  12 -> 26 [size =\"13326336\"]\n  12 -> 27 [size =\"13326336\"]\n  12 -> 28 [size =\"13326336\"]\n  12 -> 29 [size =\"13326336\"]\n  13 [size=\"165870933\", alpha=\"0.19\", expect_size=\"49761280\"] \n  13 -> 25 [size =\"49761280\"]\n  13 -> 26 [size =\"49761280\"]\n  13 -> 27 [size =\"49761280\"]\n  13 -> 28 [size =\"49761280\"]\n  14 [size=\"17773227\", alpha=\"0.08\", expect_size=\"5331968\"] \n  14 -> 27 [size =\"5331968\"]\n  14 -> 29 [size =\"5331968\"]\n  15 [size=\"126050987\", alpha=\"0.14\", expect_size=\"37815296\"] \n  15 -> 27 [size =\"37815296\"]\n  15 -> 28 [size =\"37815296\"]\n  16 [size=\"132055040\", alpha=\"0.14\", expect_size=\"39616512\"] \n  16 -> 27 [size =\"39616512\"]\n  16 -> 28 [size =\"39616512\"]\n  16 -> 30 [size =\"39616512\"]\n  17 [size=\"94730240\", alpha=\"0.18\", expect_size=\"28419072\"] \n  17 -> 27 [size =\"28419072\"]\n  17 -> 28 [size =\"28419072\"]\n  17 -> 29 [size =\"28419072\"]\n  17 -> 30 [size =\"28419072\"]\n  18 [size=\"166656000\", alpha=\"0.06\", expect_size=\"49996800\"] \n  18 -> 27 [size =\"49996800\"]\n  19 [size=\"41949867\", alpha=\"0.13\", expect_size=\"12584960\"] \n  19 -> 27 [size =\"12584960\"]\n  20 [size=\"58835627\", alpha=\"0.16\", expect_size=\"17650688\"] \n  20 -> 27 [size =\"17650688\"]\n  20 -> 29 [size =\"17650688\"]\n  21 [size=\"36382720\", alpha=\"0.03\", expect_size=\"10914816\"] \n  21 -> 25 [size =\"10914816\"]\n  21 -> 27 [size =\"10914816\"]\n  21 -> 30 [size =\"10914816\"]\n  22 [size=\"162498560\", alpha=\"0.17\", expect_size=\"48749568\"] \n  22 -> 25 [size =\"48749568\"]\n  22 -> 27 [size =\"48749568\"]\n  22 -> 30 [size =\"48749568\"]\n  23 [size=\"77243733\", alpha=\"0.16\", expect_size=\"23173120\"] \n  23 -> 27 [size =\"23173120\"]\n  23 -> 27 [size =\"23173120\"]\n  23 -> 30 [size =\"23173120\"]\n  24 [size=\"67194880\", alpha=\"0.06\", expect_size=\"20158464\"] \n  24 -> 26 [size =\"20158464\"]\n  24 -> 28 [size =\"20158464\"]\n  24 -> 30 [size =\"20158464\"]\n  25 [size=\"126242133\", alpha=\"0.04\", expect_size=\"37872640\"] \n  26 [size=\"80510293\", alpha=\"0.15\", expect_size=\"24153088\"] \n  27 [size=\"29801813\", alpha=\"0.14\", expect_size=\"8940544\"] \n  28 [size=\"172042240\", alpha=\"0.04\", expect_size=\"51612672\"] \n  29 [size=\"59982507\", alpha=\"0.17\", expect_size=\"17994752\"] \n  30 [size=\"159645013\", alpha=\"0.07\", expect_size=\"47893504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13477888\", alpha=\"0.06\", expect_size=\"6738944\"] \n  1 -> 2 [size =\"6738944\"]\n  2 [size=\"15880192\", alpha=\"0.07\", expect_size=\"7940096\"] \n  2 -> 3 [size =\"7940096\"]\n  3 [size=\"76881920\", alpha=\"0.06\", expect_size=\"38440960\"] \n  3 -> 4 [size =\"38440960\"]\n  4 [size=\"14239744\", alpha=\"0.14\", expect_size=\"7119872\"] \n  4 -> 5 [size =\"7119872\"]\n  5 [size=\"47878144\", alpha=\"0.02\", expect_size=\"23939072\"] \n  5 -> 6 [size =\"23939072\"]\n  6 [size=\"53538816\", alpha=\"0.15\", expect_size=\"26769408\"] \n  6 -> 7 [size =\"26769408\"]\n  7 [size=\"41394176\", alpha=\"0.06\", expect_size=\"20697088\"] \n  7 -> 8 [size =\"20697088\"]\n  8 [size=\"90824704\", alpha=\"0.09\", expect_size=\"45412352\"] \n  8 -> 9 [size =\"45412352\"]\n  9 [size=\"23701504\", alpha=\"0.15\", expect_size=\"11850752\"] \n  9 -> 10 [size =\"11850752\"]\n  10 [size=\"53800960\", alpha=\"0.02\", expect_size=\"26900480\"] \n  10 -> 11 [size =\"26900480\"]\n  11 [size=\"74045440\", alpha=\"0.00\", expect_size=\"37022720\"] \n  11 -> 12 [size =\"37022720\"]\n  12 [size=\"104554496\", alpha=\"0.11\", expect_size=\"52277248\"] \n  12 -> 13 [size =\"52277248\"]\n  13 [size=\"42491904\", alpha=\"0.07\", expect_size=\"21245952\"] \n  13 -> 14 [size =\"21245952\"]\n  14 [size=\"71411712\", alpha=\"0.08\", expect_size=\"35705856\"] \n  14 -> 15 [size =\"35705856\"]\n  15 [size=\"43251712\", alpha=\"0.06\", expect_size=\"21625856\"] \n  15 -> 16 [size =\"21625856\"]\n  16 [size=\"53655552\", alpha=\"0.16\", expect_size=\"26827776\"] \n  16 -> 17 [size =\"26827776\"]\n  17 [size=\"28850176\", alpha=\"0.05\", expect_size=\"14425088\"] \n  17 -> 18 [size =\"14425088\"]\n  18 [size=\"55054336\", alpha=\"0.10\", expect_size=\"27527168\"] \n  18 -> 19 [size =\"27527168\"]\n  19 [size=\"99803136\", alpha=\"0.11\", expect_size=\"49901568\"] \n  19 -> 20 [size =\"49901568\"]\n  20 [size=\"76544000\", alpha=\"0.07\", expect_size=\"38272000\"] \n  20 -> 21 [size =\"38272000\"]\n  21 [size=\"86542336\", alpha=\"0.03\", expect_size=\"43271168\"] \n  21 -> 22 [size =\"43271168\"]\n  22 [size=\"88698880\", alpha=\"0.00\", expect_size=\"44349440\"] \n  22 -> 23 [size =\"44349440\"]\n  23 [size=\"45160448\", alpha=\"0.12\", expect_size=\"22580224\"] \n  23 -> 24 [size =\"22580224\"]\n  24 [size=\"79458304\", alpha=\"0.05\", expect_size=\"39729152\"] \n  24 -> 25 [size =\"39729152\"]\n  25 [size=\"23955456\", alpha=\"0.05\", expect_size=\"11977728\"] \n  25 -> 26 [size =\"11977728\"]\n  26 [size=\"54396928\", alpha=\"0.14\", expect_size=\"27198464\"] \n  26 -> 27 [size =\"27198464\"]\n  27 [size=\"37720064\", alpha=\"0.10\", expect_size=\"18860032\"] \n  27 -> 28 [size =\"18860032\"]\n  28 [size=\"61353984\", alpha=\"0.03\", expect_size=\"30676992\"] \n  28 -> 29 [size =\"30676992\"]\n  29 [size=\"13895680\", alpha=\"0.19\", expect_size=\"6947840\"] \n  29 -> 30 [size =\"6947840\"]\n  30 [size=\"64854016\", alpha=\"0.04\", expect_size=\"32427008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85153792\", alpha=\"0.17\", expect_size=\"42576896\"] \n  1 -> 23 [size =\"42576896\"]\n  1 -> 25 [size =\"42576896\"]\n  2 [size=\"33632256\", alpha=\"0.17\", expect_size=\"16816128\"] \n  2 -> 23 [size =\"16816128\"]\n  3 [size=\"44345344\", alpha=\"0.11\", expect_size=\"22172672\"] \n  3 -> 23 [size =\"22172672\"]\n  3 -> 30 [size =\"22172672\"]\n  4 [size=\"96522240\", alpha=\"0.16\", expect_size=\"48261120\"] \n  4 -> 21 [size =\"48261120\"]\n  4 -> 23 [size =\"48261120\"]\n  4 -> 27 [size =\"48261120\"]\n  4 -> 28 [size =\"48261120\"]\n  4 -> 30 [size =\"48261120\"]\n  5 [size=\"43268096\", alpha=\"0.18\", expect_size=\"21634048\"] \n  5 -> 21 [size =\"21634048\"]\n  5 -> 23 [size =\"21634048\"]\n  5 -> 26 [size =\"21634048\"]\n  5 -> 30 [size =\"21634048\"]\n  6 [size=\"27168768\", alpha=\"0.02\", expect_size=\"13584384\"] \n  6 -> 23 [size =\"13584384\"]\n  7 [size=\"58392576\", alpha=\"0.17\", expect_size=\"29196288\"] \n  7 -> 21 [size =\"29196288\"]\n  8 [size=\"88270848\", alpha=\"0.03\", expect_size=\"44135424\"] \n  8 -> 21 [size =\"44135424\"]\n  8 -> 25 [size =\"44135424\"]\n  8 -> 28 [size =\"44135424\"]\n  9 [size=\"60954624\", alpha=\"0.06\", expect_size=\"30477312\"] \n  9 -> 21 [size =\"30477312\"]\n  9 -> 28 [size =\"30477312\"]\n  9 -> 29 [size =\"30477312\"]\n  9 -> 30 [size =\"30477312\"]\n  10 [size=\"98082816\", alpha=\"0.15\", expect_size=\"49041408\"] \n  10 -> 21 [size =\"49041408\"]\n  10 -> 28 [size =\"49041408\"]\n  10 -> 30 [size =\"49041408\"]\n  11 [size=\"20967424\", alpha=\"0.06\", expect_size=\"10483712\"] \n  11 -> 21 [size =\"10483712\"]\n  11 -> 23 [size =\"10483712\"]\n  12 [size=\"101502976\", alpha=\"0.04\", expect_size=\"50751488\"] \n  12 -> 21 [size =\"50751488\"]\n  12 -> 24 [size =\"50751488\"]\n  12 -> 28 [size =\"50751488\"]\n  12 -> 30 [size =\"50751488\"]\n  13 [size=\"88031232\", alpha=\"0.07\", expect_size=\"44015616\"] \n  13 -> 21 [size =\"44015616\"]\n  13 -> 23 [size =\"44015616\"]\n  13 -> 25 [size =\"44015616\"]\n  13 -> 27 [size =\"44015616\"]\n  13 -> 28 [size =\"44015616\"]\n  13 -> 30 [size =\"44015616\"]\n  14 [size=\"47601664\", alpha=\"0.02\", expect_size=\"23800832\"] \n  14 -> 25 [size =\"23800832\"]\n  14 -> 30 [size =\"23800832\"]\n  15 [size=\"27338752\", alpha=\"0.06\", expect_size=\"13669376\"] \n  15 -> 25 [size =\"13669376\"]\n  15 -> 30 [size =\"13669376\"]\n  16 [size=\"17303552\", alpha=\"0.03\", expect_size=\"8651776\"] \n  16 -> 25 [size =\"8651776\"]\n  17 [size=\"24606720\", alpha=\"0.10\", expect_size=\"12303360\"] \n  17 -> 23 [size =\"12303360\"]\n  17 -> 25 [size =\"12303360\"]\n  17 -> 30 [size =\"12303360\"]\n  18 [size=\"10680320\", alpha=\"0.06\", expect_size=\"5340160\"] \n  18 -> 21 [size =\"5340160\"]\n  18 -> 22 [size =\"5340160\"]\n  18 -> 28 [size =\"5340160\"]\n  19 [size=\"25165824\", alpha=\"0.11\", expect_size=\"12582912\"] \n  19 -> 24 [size =\"12582912\"]\n  20 [size=\"51400704\", alpha=\"0.09\", expect_size=\"25700352\"] \n  20 -> 23 [size =\"25700352\"]\n  21 [size=\"27049984\", alpha=\"0.02\", expect_size=\"13524992\"] \n  22 [size=\"57583616\", alpha=\"0.01\", expect_size=\"28791808\"] \n  23 [size=\"76249088\", alpha=\"0.06\", expect_size=\"38124544\"] \n  24 [size=\"14010368\", alpha=\"0.10\", expect_size=\"7005184\"] \n  25 [size=\"21233664\", alpha=\"0.01\", expect_size=\"10616832\"] \n  26 [size=\"51668992\", alpha=\"0.16\", expect_size=\"25834496\"] \n  27 [size=\"67588096\", alpha=\"0.00\", expect_size=\"33794048\"] \n  28 [size=\"19771392\", alpha=\"0.01\", expect_size=\"9885696\"] \n  29 [size=\"50239488\", alpha=\"0.13\", expect_size=\"25119744\"] \n  30 [size=\"101599232\", alpha=\"0.03\", expect_size=\"50799616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53114880\", alpha=\"0.16\", expect_size=\"26557440\"] \n  1 -> 5 [size =\"26557440\"]\n  2 [size=\"66689024\", alpha=\"0.11\", expect_size=\"33344512\"] \n  2 -> 6 [size =\"33344512\"]\n  2 -> 7 [size =\"33344512\"]\n  2 -> 9 [size =\"33344512\"]\n  3 [size=\"94902272\", alpha=\"0.13\", expect_size=\"47451136\"] \n  3 -> 5 [size =\"47451136\"]\n  3 -> 8 [size =\"47451136\"]\n  3 -> 9 [size =\"47451136\"]\n  4 [size=\"35332096\", alpha=\"0.05\", expect_size=\"17666048\"] \n  4 -> 5 [size =\"17666048\"]\n  4 -> 6 [size =\"17666048\"]\n  4 -> 7 [size =\"17666048\"]\n  4 -> 8 [size =\"17666048\"]\n  5 [size=\"96208896\", alpha=\"0.19\", expect_size=\"48104448\"] \n  5 -> 10 [size =\"48104448\"]\n  5 -> 12 [size =\"48104448\"]\n  5 -> 13 [size =\"48104448\"]\n  5 -> 14 [size =\"48104448\"]\n  6 [size=\"82800640\", alpha=\"0.06\", expect_size=\"41400320\"] \n  6 -> 11 [size =\"41400320\"]\n  6 -> 12 [size =\"41400320\"]\n  7 [size=\"69126144\", alpha=\"0.02\", expect_size=\"34563072\"] \n  7 -> 10 [size =\"34563072\"]\n  7 -> 11 [size =\"34563072\"]\n  7 -> 12 [size =\"34563072\"]\n  7 -> 13 [size =\"34563072\"]\n  7 -> 14 [size =\"34563072\"]\n  8 [size=\"102361088\", alpha=\"0.13\", expect_size=\"51180544\"] \n  8 -> 10 [size =\"51180544\"]\n  9 [size=\"25171968\", alpha=\"0.11\", expect_size=\"12585984\"] \n  9 -> 13 [size =\"12585984\"]\n  10 [size=\"93437952\", alpha=\"0.04\", expect_size=\"46718976\"] \n  10 -> 16 [size =\"46718976\"]\n  10 -> 19 [size =\"46718976\"]\n  11 [size=\"102705152\", alpha=\"0.04\", expect_size=\"51352576\"] \n  11 -> 15 [size =\"51352576\"]\n  11 -> 18 [size =\"51352576\"]\n  12 [size=\"85184512\", alpha=\"0.09\", expect_size=\"42592256\"] \n  12 -> 15 [size =\"42592256\"]\n  12 -> 17 [size =\"42592256\"]\n  13 [size=\"41920512\", alpha=\"0.16\", expect_size=\"20960256\"] \n  13 -> 16 [size =\"20960256\"]\n  13 -> 17 [size =\"20960256\"]\n  14 [size=\"10668032\", alpha=\"0.20\", expect_size=\"5334016\"] \n  14 -> 17 [size =\"5334016\"]\n  14 -> 19 [size =\"5334016\"]\n  15 [size=\"33054720\", alpha=\"0.03\", expect_size=\"16527360\"] \n  15 -> 20 [size =\"16527360\"]\n  15 -> 22 [size =\"16527360\"]\n  16 [size=\"27297792\", alpha=\"0.05\", expect_size=\"13648896\"] \n  16 -> 21 [size =\"13648896\"]\n  16 -> 22 [size =\"13648896\"]\n  16 -> 23 [size =\"13648896\"]\n  17 [size=\"55255040\", alpha=\"0.04\", expect_size=\"27627520\"] \n  17 -> 24 [size =\"27627520\"]\n  18 [size=\"66762752\", alpha=\"0.16\", expect_size=\"33381376\"] \n  18 -> 21 [size =\"33381376\"]\n  18 -> 24 [size =\"33381376\"]\n  19 [size=\"32051200\", alpha=\"0.17\", expect_size=\"16025600\"] \n  19 -> 20 [size =\"16025600\"]\n  19 -> 24 [size =\"16025600\"]\n  20 [size=\"82241536\", alpha=\"0.14\", expect_size=\"41120768\"] \n  20 -> 25 [size =\"41120768\"]\n  20 -> 29 [size =\"41120768\"]\n  21 [size=\"103258112\", alpha=\"0.19\", expect_size=\"51629056\"] \n  21 -> 25 [size =\"51629056\"]\n  21 -> 28 [size =\"51629056\"]\n  22 [size=\"27510784\", alpha=\"0.16\", expect_size=\"13755392\"] \n  22 -> 26 [size =\"13755392\"]\n  22 -> 29 [size =\"13755392\"]\n  23 [size=\"68927488\", alpha=\"0.11\", expect_size=\"34463744\"] \n  23 -> 25 [size =\"34463744\"]\n  23 -> 26 [size =\"34463744\"]\n  23 -> 27 [size =\"34463744\"]\n  24 [size=\"47872000\", alpha=\"0.11\", expect_size=\"23936000\"] \n  24 -> 25 [size =\"23936000\"]\n  24 -> 26 [size =\"23936000\"]\n  24 -> 29 [size =\"23936000\"]\n  25 [size=\"47044608\", alpha=\"0.10\", expect_size=\"23522304\"] \n  26 [size=\"61630464\", alpha=\"0.04\", expect_size=\"30815232\"] \n  27 [size=\"83732480\", alpha=\"0.10\", expect_size=\"41866240\"] \n  28 [size=\"103010304\", alpha=\"0.16\", expect_size=\"51505152\"] \n  29 [size=\"82143232\", alpha=\"0.05\", expect_size=\"41071616\"] \n  29 -> 30 [size =\"41071616\"]\n  30 [size=\"69490688\", alpha=\"0.11\", expect_size=\"34745344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11286528\", alpha=\"0.12\", expect_size=\"5643264\"] \n  1 -> 24 [size =\"5643264\"]\n  1 -> 28 [size =\"5643264\"]\n  2 [size=\"23392256\", alpha=\"0.01\", expect_size=\"11696128\"] \n  2 -> 21 [size =\"11696128\"]\n  2 -> 27 [size =\"11696128\"]\n  2 -> 28 [size =\"11696128\"]\n  2 -> 29 [size =\"11696128\"]\n  3 [size=\"19052544\", alpha=\"0.12\", expect_size=\"9526272\"] \n  3 -> 22 [size =\"9526272\"]\n  3 -> 23 [size =\"9526272\"]\n  3 -> 24 [size =\"9526272\"]\n  3 -> 29 [size =\"9526272\"]\n  4 [size=\"64417792\", alpha=\"0.00\", expect_size=\"32208896\"] \n  4 -> 22 [size =\"32208896\"]\n  4 -> 24 [size =\"32208896\"]\n  4 -> 27 [size =\"32208896\"]\n  4 -> 29 [size =\"32208896\"]\n  5 [size=\"88684544\", alpha=\"0.13\", expect_size=\"44342272\"] \n  5 -> 22 [size =\"44342272\"]\n  5 -> 24 [size =\"44342272\"]\n  5 -> 27 [size =\"44342272\"]\n  5 -> 29 [size =\"44342272\"]\n  6 [size=\"34244608\", alpha=\"0.05\", expect_size=\"17122304\"] \n  6 -> 22 [size =\"17122304\"]\n  6 -> 27 [size =\"17122304\"]\n  6 -> 29 [size =\"17122304\"]\n  7 [size=\"40556544\", alpha=\"0.04\", expect_size=\"20278272\"] \n  7 -> 23 [size =\"20278272\"]\n  7 -> 28 [size =\"20278272\"]\n  7 -> 30 [size =\"20278272\"]\n  8 [size=\"42057728\", alpha=\"0.02\", expect_size=\"21028864\"] \n  8 -> 23 [size =\"21028864\"]\n  8 -> 24 [size =\"21028864\"]\n  8 -> 28 [size =\"21028864\"]\n  9 [size=\"48676864\", alpha=\"0.03\", expect_size=\"24338432\"] \n  9 -> 24 [size =\"24338432\"]\n  9 -> 26 [size =\"24338432\"]\n  9 -> 28 [size =\"24338432\"]\n  10 [size=\"78458880\", alpha=\"0.12\", expect_size=\"39229440\"] \n  10 -> 26 [size =\"39229440\"]\n  10 -> 26 [size =\"39229440\"]\n  10 -> 29 [size =\"39229440\"]\n  11 [size=\"63543296\", alpha=\"0.19\", expect_size=\"31771648\"] \n  11 -> 23 [size =\"31771648\"]\n  11 -> 25 [size =\"31771648\"]\n  11 -> 26 [size =\"31771648\"]\n  11 -> 27 [size =\"31771648\"]\n  11 -> 29 [size =\"31771648\"]\n  12 [size=\"25548800\", alpha=\"0.05\", expect_size=\"12774400\"] \n  12 -> 23 [size =\"12774400\"]\n  12 -> 29 [size =\"12774400\"]\n  13 [size=\"29937664\", alpha=\"0.15\", expect_size=\"14968832\"] \n  13 -> 23 [size =\"14968832\"]\n  13 -> 24 [size =\"14968832\"]\n  13 -> 26 [size =\"14968832\"]\n  13 -> 29 [size =\"14968832\"]\n  14 [size=\"88459264\", alpha=\"0.02\", expect_size=\"44229632\"] \n  14 -> 22 [size =\"44229632\"]\n  14 -> 23 [size =\"44229632\"]\n  14 -> 24 [size =\"44229632\"]\n  14 -> 26 [size =\"44229632\"]\n  15 [size=\"88901632\", alpha=\"0.14\", expect_size=\"44450816\"] \n  15 -> 23 [size =\"44450816\"]\n  15 -> 23 [size =\"44450816\"]\n  15 -> 24 [size =\"44450816\"]\n  15 -> 26 [size =\"44450816\"]\n  15 -> 28 [size =\"44450816\"]\n  15 -> 30 [size =\"44450816\"]\n  16 [size=\"54394880\", alpha=\"0.07\", expect_size=\"27197440\"] \n  16 -> 23 [size =\"27197440\"]\n  16 -> 26 [size =\"27197440\"]\n  16 -> 28 [size =\"27197440\"]\n  17 [size=\"77172736\", alpha=\"0.18\", expect_size=\"38586368\"] \n  17 -> 29 [size =\"38586368\"]\n  18 [size=\"94437376\", alpha=\"0.03\", expect_size=\"47218688\"] \n  18 -> 23 [size =\"47218688\"]\n  18 -> 28 [size =\"47218688\"]\n  19 [size=\"103221248\", alpha=\"0.04\", expect_size=\"51610624\"] \n  19 -> 25 [size =\"51610624\"]\n  19 -> 28 [size =\"51610624\"]\n  20 [size=\"25278464\", alpha=\"0.01\", expect_size=\"12639232\"] \n  20 -> 26 [size =\"12639232\"]\n  20 -> 29 [size =\"12639232\"]\n  21 [size=\"79611904\", alpha=\"0.19\", expect_size=\"39805952\"] \n  22 [size=\"74203136\", alpha=\"0.20\", expect_size=\"37101568\"] \n  23 [size=\"99393536\", alpha=\"0.02\", expect_size=\"49696768\"] \n  24 [size=\"76312576\", alpha=\"0.16\", expect_size=\"38156288\"] \n  25 [size=\"86257664\", alpha=\"0.06\", expect_size=\"43128832\"] \n  26 [size=\"57987072\", alpha=\"0.02\", expect_size=\"28993536\"] \n  27 [size=\"89366528\", alpha=\"0.03\", expect_size=\"44683264\"] \n  28 [size=\"79005696\", alpha=\"0.12\", expect_size=\"39502848\"] \n  29 [size=\"93913088\", alpha=\"0.08\", expect_size=\"46956544\"] \n  30 [size=\"17074176\", alpha=\"0.19\", expect_size=\"8537088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110161920\", alpha=\"0.20\", expect_size=\"33048576\"] \n  1 -> 2 [size =\"33048576\"]\n  2 [size=\"48622933\", alpha=\"0.19\", expect_size=\"14586880\"] \n  2 -> 3 [size =\"14586880\"]\n  3 [size=\"138670080\", alpha=\"0.02\", expect_size=\"41601024\"] \n  3 -> 4 [size =\"41601024\"]\n  4 [size=\"90678613\", alpha=\"0.15\", expect_size=\"27203584\"] \n  4 -> 5 [size =\"27203584\"]\n  5 [size=\"72960000\", alpha=\"0.07\", expect_size=\"21888000\"] \n  5 -> 6 [size =\"21888000\"]\n  6 [size=\"41922560\", alpha=\"0.16\", expect_size=\"12576768\"] \n  6 -> 7 [size =\"12576768\"]\n  7 [size=\"84353707\", alpha=\"0.08\", expect_size=\"25306112\"] \n  7 -> 8 [size =\"25306112\"]\n  8 [size=\"76694187\", alpha=\"0.09\", expect_size=\"23008256\"] \n  8 -> 9 [size =\"23008256\"]\n  9 [size=\"86603093\", alpha=\"0.00\", expect_size=\"25980928\"] \n  9 -> 10 [size =\"25980928\"]\n  10 [size=\"56477013\", alpha=\"0.17\", expect_size=\"16943104\"] \n  10 -> 11 [size =\"16943104\"]\n  11 [size=\"108369920\", alpha=\"0.06\", expect_size=\"32510976\"] \n  11 -> 12 [size =\"32510976\"]\n  12 [size=\"107656533\", alpha=\"0.05\", expect_size=\"32296960\"] \n  12 -> 13 [size =\"32296960\"]\n  13 [size=\"101041493\", alpha=\"0.06\", expect_size=\"30312448\"] \n  13 -> 14 [size =\"30312448\"]\n  14 [size=\"115360427\", alpha=\"0.09\", expect_size=\"34608128\"] \n  14 -> 15 [size =\"34608128\"]\n  15 [size=\"72263680\", alpha=\"0.05\", expect_size=\"21679104\"] \n  15 -> 16 [size =\"21679104\"]\n  16 [size=\"124078080\", alpha=\"0.01\", expect_size=\"37223424\"] \n  16 -> 17 [size =\"37223424\"]\n  17 [size=\"95962453\", alpha=\"0.17\", expect_size=\"28788736\"] \n  17 -> 18 [size =\"28788736\"]\n  18 [size=\"155627520\", alpha=\"0.07\", expect_size=\"46688256\"] \n  18 -> 19 [size =\"46688256\"]\n  19 [size=\"70604800\", alpha=\"0.10\", expect_size=\"21181440\"] \n  19 -> 20 [size =\"21181440\"]\n  20 [size=\"70724267\", alpha=\"0.02\", expect_size=\"21217280\"] \n  20 -> 21 [size =\"21217280\"]\n  21 [size=\"46673920\", alpha=\"0.05\", expect_size=\"14002176\"] \n  21 -> 22 [size =\"14002176\"]\n  22 [size=\"95221760\", alpha=\"0.12\", expect_size=\"28566528\"] \n  22 -> 23 [size =\"28566528\"]\n  23 [size=\"138233173\", alpha=\"0.15\", expect_size=\"41469952\"] \n  23 -> 24 [size =\"41469952\"]\n  24 [size=\"24924160\", alpha=\"0.07\", expect_size=\"7477248\"] \n  24 -> 25 [size =\"7477248\"]\n  25 [size=\"93716480\", alpha=\"0.06\", expect_size=\"28114944\"] \n  25 -> 26 [size =\"28114944\"]\n  26 [size=\"131478187\", alpha=\"0.08\", expect_size=\"39443456\"] \n  26 -> 27 [size =\"39443456\"]\n  27 [size=\"138980693\", alpha=\"0.19\", expect_size=\"41694208\"] \n  27 -> 28 [size =\"41694208\"]\n  28 [size=\"117323093\", alpha=\"0.17\", expect_size=\"35196928\"] \n  28 -> 29 [size =\"35196928\"]\n  29 [size=\"169082880\", alpha=\"0.04\", expect_size=\"50724864\"] \n  29 -> 30 [size =\"50724864\"]\n  30 [size=\"91354453\", alpha=\"0.16\", expect_size=\"27406336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59018240\", alpha=\"0.12\", expect_size=\"23607296\"] \n  1 -> 3 [size =\"23607296\"]\n  2 [size=\"102256640\", alpha=\"0.06\", expect_size=\"40902656\"] \n  2 -> 4 [size =\"40902656\"]\n  3 [size=\"32391680\", alpha=\"0.04\", expect_size=\"12956672\"] \n  3 -> 5 [size =\"12956672\"]\n  4 [size=\"105415680\", alpha=\"0.19\", expect_size=\"42166272\"] \n  5 [size=\"50065920\", alpha=\"0.19\", expect_size=\"20026368\"] \n  5 -> 6 [size =\"20026368\"]\n  5 -> 7 [size =\"20026368\"]\n  6 [size=\"75102720\", alpha=\"0.05\", expect_size=\"30041088\"] \n  7 [size=\"17523200\", alpha=\"0.20\", expect_size=\"7009280\"] \n  7 -> 8 [size =\"7009280\"]\n  8 [size=\"112245760\", alpha=\"0.12\", expect_size=\"44898304\"] \n  8 -> 9 [size =\"44898304\"]\n  8 -> 10 [size =\"44898304\"]\n  9 [size=\"18752000\", alpha=\"0.06\", expect_size=\"7500800\"] \n  9 -> 12 [size =\"7500800\"]\n  10 [size=\"51924480\", alpha=\"0.13\", expect_size=\"20769792\"] \n  10 -> 11 [size =\"20769792\"]\n  11 [size=\"86415360\", alpha=\"0.01\", expect_size=\"34566144\"] \n  12 [size=\"37880320\", alpha=\"0.10\", expect_size=\"15152128\"] \n  12 -> 13 [size =\"15152128\"]\n  12 -> 14 [size =\"15152128\"]\n  13 [size=\"72780800\", alpha=\"0.10\", expect_size=\"29112320\"] \n  14 [size=\"98293760\", alpha=\"0.00\", expect_size=\"39317504\"] \n  14 -> 15 [size =\"39317504\"]\n  14 -> 16 [size =\"39317504\"]\n  15 [size=\"91578880\", alpha=\"0.07\", expect_size=\"36631552\"] \n  16 [size=\"83473920\", alpha=\"0.07\", expect_size=\"33389568\"] \n  16 -> 17 [size =\"33389568\"]\n  16 -> 18 [size =\"33389568\"]\n  17 [size=\"113876480\", alpha=\"0.02\", expect_size=\"45550592\"] \n  17 -> 19 [size =\"45550592\"]\n  17 -> 20 [size =\"45550592\"]\n  18 [size=\"111040000\", alpha=\"0.14\", expect_size=\"44416000\"] \n  19 [size=\"66690560\", alpha=\"0.04\", expect_size=\"26676224\"] \n  20 [size=\"104934400\", alpha=\"0.12\", expect_size=\"41973760\"] \n  20 -> 21 [size =\"41973760\"]\n  21 [size=\"66155520\", alpha=\"0.09\", expect_size=\"26462208\"] \n  21 -> 22 [size =\"26462208\"]\n  21 -> 23 [size =\"26462208\"]\n  22 [size=\"71321600\", alpha=\"0.00\", expect_size=\"28528640\"] \n  22 -> 24 [size =\"28528640\"]\n  22 -> 25 [size =\"28528640\"]\n  23 [size=\"14561280\", alpha=\"0.15\", expect_size=\"5824512\"] \n  24 [size=\"74309120\", alpha=\"0.06\", expect_size=\"29723648\"] \n  24 -> 26 [size =\"29723648\"]\n  25 [size=\"77109760\", alpha=\"0.02\", expect_size=\"30843904\"] \n  26 [size=\"120865280\", alpha=\"0.10\", expect_size=\"48346112\"] \n  26 -> 27 [size =\"48346112\"]\n  26 -> 28 [size =\"48346112\"]\n  27 [size=\"45271040\", alpha=\"0.17\", expect_size=\"18108416\"] \n  28 [size=\"58030080\", alpha=\"0.02\", expect_size=\"23212032\"] \n  28 -> 29 [size =\"23212032\"]\n  29 [size=\"19717120\", alpha=\"0.08\", expect_size=\"7886848\"] \n  29 -> 30 [size =\"7886848\"]\n  30 [size=\"41710080\", alpha=\"0.00\", expect_size=\"16684032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78790656\", alpha=\"0.17\", expect_size=\"39395328\"] \n  1 -> 3 [size =\"39395328\"]\n  2 [size=\"13035520\", alpha=\"0.09\", expect_size=\"6517760\"] \n  3 [size=\"22081536\", alpha=\"0.04\", expect_size=\"11040768\"] \n  3 -> 4 [size =\"11040768\"]\n  3 -> 5 [size =\"11040768\"]\n  4 [size=\"62924800\", alpha=\"0.15\", expect_size=\"31462400\"] \n  4 -> 6 [size =\"31462400\"]\n  4 -> 7 [size =\"31462400\"]\n  5 [size=\"92358656\", alpha=\"0.10\", expect_size=\"46179328\"] \n  5 -> 6 [size =\"46179328\"]\n  5 -> 7 [size =\"46179328\"]\n  6 [size=\"63252480\", alpha=\"0.20\", expect_size=\"31626240\"] \n  6 -> 8 [size =\"31626240\"]\n  7 [size=\"44840960\", alpha=\"0.20\", expect_size=\"22420480\"] \n  7 -> 8 [size =\"22420480\"]\n  7 -> 9 [size =\"22420480\"]\n  8 [size=\"60229632\", alpha=\"0.14\", expect_size=\"30114816\"] \n  8 -> 10 [size =\"30114816\"]\n  9 [size=\"41267200\", alpha=\"0.01\", expect_size=\"20633600\"] \n  9 -> 10 [size =\"20633600\"]\n  10 [size=\"60596224\", alpha=\"0.06\", expect_size=\"30298112\"] \n  10 -> 11 [size =\"30298112\"]\n  11 [size=\"31320064\", alpha=\"0.13\", expect_size=\"15660032\"] \n  11 -> 12 [size =\"15660032\"]\n  11 -> 13 [size =\"15660032\"]\n  12 [size=\"19341312\", alpha=\"0.16\", expect_size=\"9670656\"] \n  13 [size=\"60596224\", alpha=\"0.09\", expect_size=\"30298112\"] \n  13 -> 14 [size =\"30298112\"]\n  14 [size=\"78659584\", alpha=\"0.09\", expect_size=\"39329792\"] \n  14 -> 15 [size =\"39329792\"]\n  14 -> 16 [size =\"39329792\"]\n  15 [size=\"53727232\", alpha=\"0.06\", expect_size=\"26863616\"] \n  16 [size=\"102258688\", alpha=\"0.12\", expect_size=\"51129344\"] \n  16 -> 17 [size =\"51129344\"]\n  17 [size=\"101652480\", alpha=\"0.06\", expect_size=\"50826240\"] \n  17 -> 18 [size =\"50826240\"]\n  17 -> 19 [size =\"50826240\"]\n  18 [size=\"99454976\", alpha=\"0.11\", expect_size=\"49727488\"] \n  18 -> 20 [size =\"49727488\"]\n  18 -> 21 [size =\"49727488\"]\n  19 [size=\"72869888\", alpha=\"0.00\", expect_size=\"36434944\"] \n  20 [size=\"77731840\", alpha=\"0.16\", expect_size=\"38865920\"] \n  20 -> 22 [size =\"38865920\"]\n  20 -> 23 [size =\"38865920\"]\n  21 [size=\"13506560\", alpha=\"0.07\", expect_size=\"6753280\"] \n  21 -> 22 [size =\"6753280\"]\n  22 [size=\"77135872\", alpha=\"0.18\", expect_size=\"38567936\"] \n  22 -> 24 [size =\"38567936\"]\n  23 [size=\"56893440\", alpha=\"0.11\", expect_size=\"28446720\"] \n  23 -> 24 [size =\"28446720\"]\n  24 [size=\"98908160\", alpha=\"0.16\", expect_size=\"49454080\"] \n  24 -> 25 [size =\"49454080\"]\n  25 [size=\"49244160\", alpha=\"0.17\", expect_size=\"24622080\"] \n  25 -> 26 [size =\"24622080\"]\n  26 [size=\"79089664\", alpha=\"0.10\", expect_size=\"39544832\"] \n  26 -> 27 [size =\"39544832\"]\n  27 [size=\"42100736\", alpha=\"0.11\", expect_size=\"21050368\"] \n  27 -> 28 [size =\"21050368\"]\n  28 [size=\"71241728\", alpha=\"0.02\", expect_size=\"35620864\"] \n  28 -> 29 [size =\"35620864\"]\n  28 -> 30 [size =\"35620864\"]\n  29 [size=\"27342848\", alpha=\"0.19\", expect_size=\"13671424\"] \n  30 [size=\"29077504\", alpha=\"0.07\", expect_size=\"14538752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95645696\", alpha=\"0.03\", expect_size=\"47822848\"] \n  1 -> 8 [size =\"47822848\"]\n  2 [size=\"28504064\", alpha=\"0.01\", expect_size=\"14252032\"] \n  2 -> 10 [size =\"14252032\"]\n  3 [size=\"49494016\", alpha=\"0.05\", expect_size=\"24747008\"] \n  3 -> 8 [size =\"24747008\"]\n  3 -> 9 [size =\"24747008\"]\n  4 [size=\"65318912\", alpha=\"0.13\", expect_size=\"32659456\"] \n  4 -> 6 [size =\"32659456\"]\n  4 -> 9 [size =\"32659456\"]\n  5 [size=\"13242368\", alpha=\"0.10\", expect_size=\"6621184\"] \n  5 -> 7 [size =\"6621184\"]\n  5 -> 9 [size =\"6621184\"]\n  6 [size=\"85778432\", alpha=\"0.12\", expect_size=\"42889216\"] \n  6 -> 11 [size =\"42889216\"]\n  6 -> 12 [size =\"42889216\"]\n  6 -> 13 [size =\"42889216\"]\n  6 -> 14 [size =\"42889216\"]\n  7 [size=\"97214464\", alpha=\"0.02\", expect_size=\"48607232\"] \n  7 -> 11 [size =\"48607232\"]\n  7 -> 12 [size =\"48607232\"]\n  7 -> 14 [size =\"48607232\"]\n  8 [size=\"48678912\", alpha=\"0.16\", expect_size=\"24339456\"] \n  9 [size=\"26707968\", alpha=\"0.05\", expect_size=\"13353984\"] \n  10 [size=\"19726336\", alpha=\"0.03\", expect_size=\"9863168\"] \n  10 -> 11 [size =\"9863168\"]\n  10 -> 13 [size =\"9863168\"]\n  11 [size=\"39571456\", alpha=\"0.13\", expect_size=\"19785728\"] \n  11 -> 15 [size =\"19785728\"]\n  11 -> 16 [size =\"19785728\"]\n  11 -> 17 [size =\"19785728\"]\n  11 -> 19 [size =\"19785728\"]\n  11 -> 20 [size =\"19785728\"]\n  12 [size=\"54980608\", alpha=\"0.00\", expect_size=\"27490304\"] \n  13 [size=\"60385280\", alpha=\"0.15\", expect_size=\"30192640\"] \n  13 -> 18 [size =\"30192640\"]\n  14 [size=\"85702656\", alpha=\"0.13\", expect_size=\"42851328\"] \n  14 -> 15 [size =\"42851328\"]\n  14 -> 16 [size =\"42851328\"]\n  14 -> 17 [size =\"42851328\"]\n  14 -> 20 [size =\"42851328\"]\n  15 [size=\"54880256\", alpha=\"0.00\", expect_size=\"27440128\"] \n  15 -> 23 [size =\"27440128\"]\n  16 [size=\"100763648\", alpha=\"0.16\", expect_size=\"50381824\"] \n  17 [size=\"62822400\", alpha=\"0.07\", expect_size=\"31411200\"] \n  18 [size=\"70705152\", alpha=\"0.12\", expect_size=\"35352576\"] \n  18 -> 23 [size =\"35352576\"]\n  19 [size=\"51802112\", alpha=\"0.09\", expect_size=\"25901056\"] \n  19 -> 21 [size =\"25901056\"]\n  20 [size=\"73152512\", alpha=\"0.07\", expect_size=\"36576256\"] \n  20 -> 21 [size =\"36576256\"]\n  20 -> 22 [size =\"36576256\"]\n  21 [size=\"85014528\", alpha=\"0.04\", expect_size=\"42507264\"] \n  21 -> 27 [size =\"42507264\"]\n  21 -> 28 [size =\"42507264\"]\n  22 [size=\"52516864\", alpha=\"0.04\", expect_size=\"26258432\"] \n  22 -> 25 [size =\"26258432\"]\n  22 -> 28 [size =\"26258432\"]\n  22 -> 29 [size =\"26258432\"]\n  23 [size=\"54069248\", alpha=\"0.13\", expect_size=\"27034624\"] \n  23 -> 24 [size =\"27034624\"]\n  23 -> 26 [size =\"27034624\"]\n  24 [size=\"32444416\", alpha=\"0.13\", expect_size=\"16222208\"] \n  25 [size=\"91729920\", alpha=\"0.14\", expect_size=\"45864960\"] \n  26 [size=\"93188096\", alpha=\"0.10\", expect_size=\"46594048\"] \n  27 [size=\"74938368\", alpha=\"0.06\", expect_size=\"37469184\"] \n  28 [size=\"15925248\", alpha=\"0.09\", expect_size=\"7962624\"] \n  28 -> 30 [size =\"7962624\"]\n  29 [size=\"71424000\", alpha=\"0.16\", expect_size=\"35712000\"] \n  30 [size=\"19027968\", alpha=\"0.04\", expect_size=\"9513984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91187200\", alpha=\"0.11\", expect_size=\"27356160\"] \n  2 [size=\"164198400\", alpha=\"0.09\", expect_size=\"49259520\"] \n  3 [size=\"173342720\", alpha=\"0.07\", expect_size=\"52002816\"] \n  4 [size=\"128815787\", alpha=\"0.07\", expect_size=\"38644736\"] \n  5 [size=\"98355200\", alpha=\"0.14\", expect_size=\"29506560\"] \n  6 [size=\"86790827\", alpha=\"0.11\", expect_size=\"26037248\"] \n  7 [size=\"150889813\", alpha=\"0.12\", expect_size=\"45266944\"] \n  8 [size=\"48517120\", alpha=\"0.11\", expect_size=\"14555136\"] \n  9 [size=\"154272427\", alpha=\"0.09\", expect_size=\"46281728\"] \n  10 [size=\"30003200\", alpha=\"0.10\", expect_size=\"9000960\"] \n  11 [size=\"27033600\", alpha=\"0.11\", expect_size=\"8110080\"] \n  12 [size=\"115554987\", alpha=\"0.18\", expect_size=\"34666496\"] \n  13 [size=\"25610240\", alpha=\"0.10\", expect_size=\"7683072\"] \n  14 [size=\"77144747\", alpha=\"0.14\", expect_size=\"23143424\"] \n  15 [size=\"132816213\", alpha=\"0.09\", expect_size=\"39844864\"] \n  16 [size=\"82571947\", alpha=\"0.16\", expect_size=\"24771584\"] \n  17 [size=\"169349120\", alpha=\"0.07\", expect_size=\"50804736\"] \n  18 [size=\"104116907\", alpha=\"0.08\", expect_size=\"31235072\"] \n  19 [size=\"32761173\", alpha=\"0.07\", expect_size=\"9828352\"] \n  20 [size=\"105441280\", alpha=\"0.14\", expect_size=\"31632384\"] \n  21 [size=\"29556053\", alpha=\"0.10\", expect_size=\"8866816\"] \n  22 [size=\"115647147\", alpha=\"0.05\", expect_size=\"34694144\"] \n  23 [size=\"97764693\", alpha=\"0.20\", expect_size=\"29329408\"] \n  24 [size=\"23033173\", alpha=\"0.08\", expect_size=\"6909952\"] \n  25 [size=\"134236160\", alpha=\"0.07\", expect_size=\"40270848\"] \n  26 [size=\"46458880\", alpha=\"0.15\", expect_size=\"13937664\"] \n  27 [size=\"18923520\", alpha=\"0.20\", expect_size=\"5677056\"] \n  28 [size=\"74564267\", alpha=\"0.09\", expect_size=\"22369280\"] \n  29 [size=\"134922240\", alpha=\"0.15\", expect_size=\"40476672\"] \n  30 [size=\"35433813\", alpha=\"0.03\", expect_size=\"10630144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81983488\", alpha=\"0.05\", expect_size=\"40991744\"] \n  1 -> 2 [size =\"40991744\"]\n  2 [size=\"47525888\", alpha=\"0.01\", expect_size=\"23762944\"] \n  2 -> 3 [size =\"23762944\"]\n  3 [size=\"26759168\", alpha=\"0.13\", expect_size=\"13379584\"] \n  3 -> 4 [size =\"13379584\"]\n  4 [size=\"50202624\", alpha=\"0.07\", expect_size=\"25101312\"] \n  4 -> 5 [size =\"25101312\"]\n  5 [size=\"50593792\", alpha=\"0.09\", expect_size=\"25296896\"] \n  5 -> 6 [size =\"25296896\"]\n  6 [size=\"23754752\", alpha=\"0.06\", expect_size=\"11877376\"] \n  6 -> 7 [size =\"11877376\"]\n  7 [size=\"15083520\", alpha=\"0.19\", expect_size=\"7541760\"] \n  7 -> 8 [size =\"7541760\"]\n  8 [size=\"78227456\", alpha=\"0.11\", expect_size=\"39113728\"] \n  8 -> 9 [size =\"39113728\"]\n  9 [size=\"56203264\", alpha=\"0.08\", expect_size=\"28101632\"] \n  9 -> 10 [size =\"28101632\"]\n  10 [size=\"93614080\", alpha=\"0.03\", expect_size=\"46807040\"] \n  10 -> 11 [size =\"46807040\"]\n  11 [size=\"89477120\", alpha=\"0.13\", expect_size=\"44738560\"] \n  11 -> 12 [size =\"44738560\"]\n  12 [size=\"18659328\", alpha=\"0.06\", expect_size=\"9329664\"] \n  12 -> 13 [size =\"9329664\"]\n  13 [size=\"23300096\", alpha=\"0.03\", expect_size=\"11650048\"] \n  13 -> 14 [size =\"11650048\"]\n  14 [size=\"82663424\", alpha=\"0.09\", expect_size=\"41331712\"] \n  14 -> 15 [size =\"41331712\"]\n  15 [size=\"21790720\", alpha=\"0.09\", expect_size=\"10895360\"] \n  15 -> 16 [size =\"10895360\"]\n  16 [size=\"66363392\", alpha=\"0.11\", expect_size=\"33181696\"] \n  16 -> 17 [size =\"33181696\"]\n  17 [size=\"92454912\", alpha=\"0.02\", expect_size=\"46227456\"] \n  17 -> 18 [size =\"46227456\"]\n  18 [size=\"87697408\", alpha=\"0.17\", expect_size=\"43848704\"] \n  18 -> 19 [size =\"43848704\"]\n  19 [size=\"45705216\", alpha=\"0.12\", expect_size=\"22852608\"] \n  19 -> 20 [size =\"22852608\"]\n  20 [size=\"82274304\", alpha=\"0.15\", expect_size=\"41137152\"] \n  20 -> 21 [size =\"41137152\"]\n  21 [size=\"97216512\", alpha=\"0.12\", expect_size=\"48608256\"] \n  21 -> 22 [size =\"48608256\"]\n  22 [size=\"62255104\", alpha=\"0.17\", expect_size=\"31127552\"] \n  22 -> 23 [size =\"31127552\"]\n  23 [size=\"91203584\", alpha=\"0.06\", expect_size=\"45601792\"] \n  23 -> 24 [size =\"45601792\"]\n  24 [size=\"104202240\", alpha=\"0.03\", expect_size=\"52101120\"] \n  24 -> 25 [size =\"52101120\"]\n  25 [size=\"54181888\", alpha=\"0.09\", expect_size=\"27090944\"] \n  25 -> 26 [size =\"27090944\"]\n  26 [size=\"97931264\", alpha=\"0.18\", expect_size=\"48965632\"] \n  26 -> 27 [size =\"48965632\"]\n  27 [size=\"56655872\", alpha=\"0.07\", expect_size=\"28327936\"] \n  27 -> 28 [size =\"28327936\"]\n  28 [size=\"66666496\", alpha=\"0.11\", expect_size=\"33333248\"] \n  28 -> 29 [size =\"33333248\"]\n  29 [size=\"52531200\", alpha=\"0.05\", expect_size=\"26265600\"] \n  29 -> 30 [size =\"26265600\"]\n  30 [size=\"15482880\", alpha=\"0.16\", expect_size=\"7741440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11116544\", alpha=\"0.15\", expect_size=\"5558272\"] \n  1 -> 2 [size =\"5558272\"]\n  2 [size=\"34242560\", alpha=\"0.18\", expect_size=\"17121280\"] \n  2 -> 3 [size =\"17121280\"]\n  3 [size=\"55734272\", alpha=\"0.12\", expect_size=\"27867136\"] \n  3 -> 4 [size =\"27867136\"]\n  4 [size=\"90378240\", alpha=\"0.07\", expect_size=\"45189120\"] \n  4 -> 5 [size =\"45189120\"]\n  5 [size=\"27858944\", alpha=\"0.11\", expect_size=\"13929472\"] \n  5 -> 6 [size =\"13929472\"]\n  6 [size=\"47738880\", alpha=\"0.05\", expect_size=\"23869440\"] \n  6 -> 7 [size =\"23869440\"]\n  7 [size=\"90316800\", alpha=\"0.05\", expect_size=\"45158400\"] \n  7 -> 8 [size =\"45158400\"]\n  8 [size=\"74412032\", alpha=\"0.06\", expect_size=\"37206016\"] \n  8 -> 9 [size =\"37206016\"]\n  9 [size=\"77260800\", alpha=\"0.02\", expect_size=\"38630400\"] \n  9 -> 10 [size =\"38630400\"]\n  10 [size=\"15116288\", alpha=\"0.01\", expect_size=\"7558144\"] \n  10 -> 11 [size =\"7558144\"]\n  11 [size=\"25901056\", alpha=\"0.09\", expect_size=\"12950528\"] \n  11 -> 12 [size =\"12950528\"]\n  12 [size=\"95682560\", alpha=\"0.14\", expect_size=\"47841280\"] \n  12 -> 13 [size =\"47841280\"]\n  13 [size=\"87511040\", alpha=\"0.16\", expect_size=\"43755520\"] \n  13 -> 14 [size =\"43755520\"]\n  14 [size=\"48865280\", alpha=\"0.02\", expect_size=\"24432640\"] \n  14 -> 15 [size =\"24432640\"]\n  15 [size=\"81272832\", alpha=\"0.17\", expect_size=\"40636416\"] \n  15 -> 16 [size =\"40636416\"]\n  16 [size=\"41007104\", alpha=\"0.03\", expect_size=\"20503552\"] \n  16 -> 17 [size =\"20503552\"]\n  17 [size=\"64673792\", alpha=\"0.15\", expect_size=\"32336896\"] \n  17 -> 18 [size =\"32336896\"]\n  18 [size=\"89094144\", alpha=\"0.14\", expect_size=\"44547072\"] \n  18 -> 19 [size =\"44547072\"]\n  19 [size=\"21360640\", alpha=\"0.12\", expect_size=\"10680320\"] \n  19 -> 20 [size =\"10680320\"]\n  20 [size=\"29583360\", alpha=\"0.16\", expect_size=\"14791680\"] \n  20 -> 21 [size =\"14791680\"]\n  21 [size=\"35086336\", alpha=\"0.00\", expect_size=\"17543168\"] \n  21 -> 22 [size =\"17543168\"]\n  22 [size=\"77389824\", alpha=\"0.09\", expect_size=\"38694912\"] \n  22 -> 23 [size =\"38694912\"]\n  23 [size=\"47790080\", alpha=\"0.08\", expect_size=\"23895040\"] \n  23 -> 24 [size =\"23895040\"]\n  24 [size=\"29159424\", alpha=\"0.03\", expect_size=\"14579712\"] \n  24 -> 25 [size =\"14579712\"]\n  25 [size=\"37861376\", alpha=\"0.02\", expect_size=\"18930688\"] \n  25 -> 26 [size =\"18930688\"]\n  26 [size=\"23650304\", alpha=\"0.09\", expect_size=\"11825152\"] \n  26 -> 27 [size =\"11825152\"]\n  27 [size=\"36472832\", alpha=\"0.13\", expect_size=\"18236416\"] \n  27 -> 28 [size =\"18236416\"]\n  28 [size=\"13742080\", alpha=\"0.11\", expect_size=\"6871040\"] \n  28 -> 29 [size =\"6871040\"]\n  29 [size=\"79736832\", alpha=\"0.02\", expect_size=\"39868416\"] \n  29 -> 30 [size =\"39868416\"]\n  30 [size=\"44054528\", alpha=\"0.15\", expect_size=\"22027264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37973333\", alpha=\"0.18\", expect_size=\"11392000\"] \n  1 -> 23 [size =\"11392000\"]\n  1 -> 25 [size =\"11392000\"]\n  1 -> 27 [size =\"11392000\"]\n  1 -> 29 [size =\"11392000\"]\n  1 -> 30 [size =\"11392000\"]\n  2 [size=\"31255893\", alpha=\"0.01\", expect_size=\"9376768\"] \n  2 -> 25 [size =\"9376768\"]\n  2 -> 27 [size =\"9376768\"]\n  2 -> 27 [size =\"9376768\"]\n  2 -> 28 [size =\"9376768\"]\n  2 -> 29 [size =\"9376768\"]\n  2 -> 30 [size =\"9376768\"]\n  3 [size=\"166386347\", alpha=\"0.18\", expect_size=\"49915904\"] \n  3 -> 27 [size =\"49915904\"]\n  3 -> 28 [size =\"49915904\"]\n  3 -> 29 [size =\"49915904\"]\n  3 -> 30 [size =\"49915904\"]\n  4 [size=\"45742080\", alpha=\"0.10\", expect_size=\"13722624\"] \n  4 -> 22 [size =\"13722624\"]\n  4 -> 23 [size =\"13722624\"]\n  4 -> 27 [size =\"13722624\"]\n  4 -> 29 [size =\"13722624\"]\n  4 -> 30 [size =\"13722624\"]\n  5 [size=\"24169813\", alpha=\"0.10\", expect_size=\"7250944\"] \n  5 -> 22 [size =\"7250944\"]\n  5 -> 23 [size =\"7250944\"]\n  5 -> 24 [size =\"7250944\"]\n  5 -> 25 [size =\"7250944\"]\n  5 -> 27 [size =\"7250944\"]\n  5 -> 28 [size =\"7250944\"]\n  5 -> 29 [size =\"7250944\"]\n  5 -> 30 [size =\"7250944\"]\n  6 [size=\"80230400\", alpha=\"0.07\", expect_size=\"24069120\"] \n  6 -> 22 [size =\"24069120\"]\n  6 -> 25 [size =\"24069120\"]\n  6 -> 27 [size =\"24069120\"]\n  6 -> 29 [size =\"24069120\"]\n  6 -> 30 [size =\"24069120\"]\n  7 [size=\"43796480\", alpha=\"0.02\", expect_size=\"13138944\"] \n  7 -> 22 [size =\"13138944\"]\n  7 -> 23 [size =\"13138944\"]\n  7 -> 25 [size =\"13138944\"]\n  7 -> 27 [size =\"13138944\"]\n  7 -> 29 [size =\"13138944\"]\n  7 -> 30 [size =\"13138944\"]\n  8 [size=\"100727467\", alpha=\"0.15\", expect_size=\"30218240\"] \n  8 -> 23 [size =\"30218240\"]\n  8 -> 25 [size =\"30218240\"]\n  8 -> 25 [size =\"30218240\"]\n  8 -> 27 [size =\"30218240\"]\n  8 -> 29 [size =\"30218240\"]\n  8 -> 30 [size =\"30218240\"]\n  9 [size=\"133246293\", alpha=\"0.11\", expect_size=\"39973888\"] \n  9 -> 21 [size =\"39973888\"]\n  9 -> 23 [size =\"39973888\"]\n  9 -> 24 [size =\"39973888\"]\n  9 -> 25 [size =\"39973888\"]\n  9 -> 26 [size =\"39973888\"]\n  9 -> 27 [size =\"39973888\"]\n  9 -> 29 [size =\"39973888\"]\n  9 -> 30 [size =\"39973888\"]\n  10 [size=\"149398187\", alpha=\"0.16\", expect_size=\"44819456\"] \n  10 -> 23 [size =\"44819456\"]\n  10 -> 23 [size =\"44819456\"]\n  10 -> 25 [size =\"44819456\"]\n  10 -> 25 [size =\"44819456\"]\n  10 -> 29 [size =\"44819456\"]\n  10 -> 30 [size =\"44819456\"]\n  11 [size=\"138939733\", alpha=\"0.11\", expect_size=\"41681920\"] \n  11 -> 22 [size =\"41681920\"]\n  11 -> 28 [size =\"41681920\"]\n  11 -> 29 [size =\"41681920\"]\n  11 -> 30 [size =\"41681920\"]\n  12 [size=\"120883200\", alpha=\"0.01\", expect_size=\"36264960\"] \n  12 -> 25 [size =\"36264960\"]\n  12 -> 27 [size =\"36264960\"]\n  12 -> 29 [size =\"36264960\"]\n  12 -> 30 [size =\"36264960\"]\n  13 [size=\"129003520\", alpha=\"0.09\", expect_size=\"38701056\"] \n  13 -> 21 [size =\"38701056\"]\n  13 -> 28 [size =\"38701056\"]\n  13 -> 29 [size =\"38701056\"]\n  13 -> 30 [size =\"38701056\"]\n  14 [size=\"114971307\", alpha=\"0.02\", expect_size=\"34491392\"] \n  14 -> 23 [size =\"34491392\"]\n  14 -> 25 [size =\"34491392\"]\n  14 -> 30 [size =\"34491392\"]\n  14 -> 30 [size =\"34491392\"]\n  15 [size=\"37584213\", alpha=\"0.02\", expect_size=\"11275264\"] \n  15 -> 22 [size =\"11275264\"]\n  15 -> 23 [size =\"11275264\"]\n  15 -> 25 [size =\"11275264\"]\n  15 -> 28 [size =\"11275264\"]\n  15 -> 30 [size =\"11275264\"]\n  16 [size=\"113834667\", alpha=\"0.19\", expect_size=\"34150400\"] \n  16 -> 25 [size =\"34150400\"]\n  16 -> 28 [size =\"34150400\"]\n  16 -> 29 [size =\"34150400\"]\n  16 -> 30 [size =\"34150400\"]\n  17 [size=\"170076160\", alpha=\"0.07\", expect_size=\"51022848\"] \n  17 -> 22 [size =\"51022848\"]\n  17 -> 23 [size =\"51022848\"]\n  17 -> 25 [size =\"51022848\"]\n  17 -> 28 [size =\"51022848\"]\n  18 [size=\"27562667\", alpha=\"0.02\", expect_size=\"8268800\"] \n  18 -> 23 [size =\"8268800\"]\n  18 -> 25 [size =\"8268800\"]\n  18 -> 27 [size =\"8268800\"]\n  18 -> 28 [size =\"8268800\"]\n  19 [size=\"142049280\", alpha=\"0.05\", expect_size=\"42614784\"] \n  19 -> 22 [size =\"42614784\"]\n  19 -> 23 [size =\"42614784\"]\n  19 -> 25 [size =\"42614784\"]\n  19 -> 28 [size =\"42614784\"]\n  19 -> 29 [size =\"42614784\"]\n  20 [size=\"67368960\", alpha=\"0.10\", expect_size=\"20210688\"] \n  20 -> 22 [size =\"20210688\"]\n  20 -> 23 [size =\"20210688\"]\n  20 -> 25 [size =\"20210688\"]\n  20 -> 29 [size =\"20210688\"]\n  21 [size=\"36519253\", alpha=\"0.18\", expect_size=\"10955776\"] \n  22 [size=\"121449813\", alpha=\"0.07\", expect_size=\"36434944\"] \n  23 [size=\"132089173\", alpha=\"0.15\", expect_size=\"39626752\"] \n  24 [size=\"46656853\", alpha=\"0.08\", expect_size=\"13997056\"] \n  25 [size=\"65129813\", alpha=\"0.00\", expect_size=\"19538944\"] \n  26 [size=\"84329813\", alpha=\"0.01\", expect_size=\"25298944\"] \n  27 [size=\"73301333\", alpha=\"0.05\", expect_size=\"21990400\"] \n  28 [size=\"128733867\", alpha=\"0.00\", expect_size=\"38620160\"] \n  29 [size=\"144786773\", alpha=\"0.10\", expect_size=\"43436032\"] \n  30 [size=\"23988907\", alpha=\"0.16\", expect_size=\"7196672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128343040\", alpha=\"0.15\", expect_size=\"51337216\"] \n  1 -> 6 [size =\"51337216\"]\n  2 [size=\"31948800\", alpha=\"0.17\", expect_size=\"12779520\"] \n  2 -> 7 [size =\"12779520\"]\n  2 -> 8 [size =\"12779520\"]\n  3 [size=\"94714880\", alpha=\"0.01\", expect_size=\"37885952\"] \n  3 -> 6 [size =\"37885952\"]\n  3 -> 7 [size =\"37885952\"]\n  3 -> 8 [size =\"37885952\"]\n  3 -> 9 [size =\"37885952\"]\n  4 [size=\"128366080\", alpha=\"0.07\", expect_size=\"51346432\"] \n  4 -> 6 [size =\"51346432\"]\n  4 -> 8 [size =\"51346432\"]\n  4 -> 8 [size =\"51346432\"]\n  5 [size=\"68889600\", alpha=\"0.19\", expect_size=\"27555840\"] \n  5 -> 8 [size =\"27555840\"]\n  6 [size=\"103731200\", alpha=\"0.15\", expect_size=\"41492480\"] \n  6 -> 10 [size =\"41492480\"]\n  6 -> 12 [size =\"41492480\"]\n  6 -> 13 [size =\"41492480\"]\n  7 [size=\"43287040\", alpha=\"0.13\", expect_size=\"17314816\"] \n  8 [size=\"99875840\", alpha=\"0.06\", expect_size=\"39950336\"] \n  8 -> 10 [size =\"39950336\"]\n  8 -> 12 [size =\"39950336\"]\n  9 [size=\"34982400\", alpha=\"0.16\", expect_size=\"13992960\"] \n  9 -> 11 [size =\"13992960\"]\n  9 -> 12 [size =\"13992960\"]\n  9 -> 13 [size =\"13992960\"]\n  10 [size=\"39749120\", alpha=\"0.18\", expect_size=\"15899648\"] \n  10 -> 15 [size =\"15899648\"]\n  10 -> 16 [size =\"15899648\"]\n  11 [size=\"130019840\", alpha=\"0.14\", expect_size=\"52007936\"] \n  11 -> 14 [size =\"52007936\"]\n  11 -> 15 [size =\"52007936\"]\n  11 -> 17 [size =\"52007936\"]\n  12 [size=\"102858240\", alpha=\"0.10\", expect_size=\"41143296\"] \n  12 -> 16 [size =\"41143296\"]\n  12 -> 17 [size =\"41143296\"]\n  12 -> 17 [size =\"41143296\"]\n  13 [size=\"82928640\", alpha=\"0.19\", expect_size=\"33171456\"] \n  13 -> 15 [size =\"33171456\"]\n  13 -> 16 [size =\"33171456\"]\n  13 -> 17 [size =\"33171456\"]\n  14 [size=\"87408640\", alpha=\"0.13\", expect_size=\"34963456\"] \n  14 -> 19 [size =\"34963456\"]\n  15 [size=\"126187520\", alpha=\"0.02\", expect_size=\"50475008\"] \n  15 -> 18 [size =\"50475008\"]\n  15 -> 19 [size =\"50475008\"]\n  16 [size=\"117452800\", alpha=\"0.00\", expect_size=\"46981120\"] \n  16 -> 18 [size =\"46981120\"]\n  16 -> 19 [size =\"46981120\"]\n  17 [size=\"89139200\", alpha=\"0.14\", expect_size=\"35655680\"] \n  17 -> 18 [size =\"35655680\"]\n  18 [size=\"48143360\", alpha=\"0.08\", expect_size=\"19257344\"] \n  18 -> 20 [size =\"19257344\"]\n  18 -> 21 [size =\"19257344\"]\n  19 [size=\"82073600\", alpha=\"0.10\", expect_size=\"32829440\"] \n  19 -> 21 [size =\"32829440\"]\n  19 -> 22 [size =\"32829440\"]\n  20 [size=\"55610880\", alpha=\"0.15\", expect_size=\"22244352\"] \n  20 -> 23 [size =\"22244352\"]\n  20 -> 24 [size =\"22244352\"]\n  21 [size=\"40921600\", alpha=\"0.20\", expect_size=\"16368640\"] \n  21 -> 23 [size =\"16368640\"]\n  22 [size=\"125601280\", alpha=\"0.08\", expect_size=\"50240512\"] \n  22 -> 23 [size =\"50240512\"]\n  22 -> 24 [size =\"50240512\"]\n  23 [size=\"65164800\", alpha=\"0.09\", expect_size=\"26065920\"] \n  23 -> 25 [size =\"26065920\"]\n  23 -> 27 [size =\"26065920\"]\n  23 -> 28 [size =\"26065920\"]\n  23 -> 29 [size =\"26065920\"]\n  23 -> 30 [size =\"26065920\"]\n  24 [size=\"57579520\", alpha=\"0.11\", expect_size=\"23031808\"] \n  24 -> 25 [size =\"23031808\"]\n  24 -> 26 [size =\"23031808\"]\n  24 -> 27 [size =\"23031808\"]\n  24 -> 28 [size =\"23031808\"]\n  24 -> 29 [size =\"23031808\"]\n  24 -> 30 [size =\"23031808\"]\n  25 [size=\"17297920\", alpha=\"0.01\", expect_size=\"6919168\"] \n  26 [size=\"27141120\", alpha=\"0.07\", expect_size=\"10856448\"] \n  27 [size=\"30013440\", alpha=\"0.18\", expect_size=\"12005376\"] \n  28 [size=\"110182400\", alpha=\"0.04\", expect_size=\"44072960\"] \n  29 [size=\"41418240\", alpha=\"0.14\", expect_size=\"16567296\"] \n  30 [size=\"100892160\", alpha=\"0.08\", expect_size=\"40356864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53194752\", alpha=\"0.18\", expect_size=\"26597376\"] \n  1 -> 25 [size =\"26597376\"]\n  1 -> 26 [size =\"26597376\"]\n  2 [size=\"67794944\", alpha=\"0.07\", expect_size=\"33897472\"] \n  2 -> 25 [size =\"33897472\"]\n  2 -> 26 [size =\"33897472\"]\n  3 [size=\"18456576\", alpha=\"0.06\", expect_size=\"9228288\"] \n  3 -> 24 [size =\"9228288\"]\n  3 -> 26 [size =\"9228288\"]\n  3 -> 30 [size =\"9228288\"]\n  4 [size=\"102926336\", alpha=\"0.09\", expect_size=\"51463168\"] \n  4 -> 25 [size =\"51463168\"]\n  4 -> 29 [size =\"51463168\"]\n  4 -> 30 [size =\"51463168\"]\n  5 [size=\"26558464\", alpha=\"0.18\", expect_size=\"13279232\"] \n  5 -> 23 [size =\"13279232\"]\n  5 -> 25 [size =\"13279232\"]\n  5 -> 30 [size =\"13279232\"]\n  6 [size=\"10493952\", alpha=\"0.13\", expect_size=\"5246976\"] \n  6 -> 24 [size =\"5246976\"]\n  6 -> 26 [size =\"5246976\"]\n  7 [size=\"68161536\", alpha=\"0.07\", expect_size=\"34080768\"] \n  7 -> 24 [size =\"34080768\"]\n  7 -> 25 [size =\"34080768\"]\n  7 -> 29 [size =\"34080768\"]\n  8 [size=\"10764288\", alpha=\"0.14\", expect_size=\"5382144\"] \n  8 -> 24 [size =\"5382144\"]\n  8 -> 25 [size =\"5382144\"]\n  9 [size=\"73398272\", alpha=\"0.07\", expect_size=\"36699136\"] \n  9 -> 25 [size =\"36699136\"]\n  9 -> 26 [size =\"36699136\"]\n  9 -> 30 [size =\"36699136\"]\n  10 [size=\"43810816\", alpha=\"0.04\", expect_size=\"21905408\"] \n  10 -> 23 [size =\"21905408\"]\n  10 -> 24 [size =\"21905408\"]\n  10 -> 25 [size =\"21905408\"]\n  10 -> 30 [size =\"21905408\"]\n  11 [size=\"69709824\", alpha=\"0.06\", expect_size=\"34854912\"] \n  11 -> 23 [size =\"34854912\"]\n  11 -> 24 [size =\"34854912\"]\n  11 -> 26 [size =\"34854912\"]\n  11 -> 27 [size =\"34854912\"]\n  11 -> 30 [size =\"34854912\"]\n  12 [size=\"60899328\", alpha=\"0.03\", expect_size=\"30449664\"] \n  12 -> 23 [size =\"30449664\"]\n  12 -> 24 [size =\"30449664\"]\n  12 -> 26 [size =\"30449664\"]\n  12 -> 30 [size =\"30449664\"]\n  12 -> 30 [size =\"30449664\"]\n  13 [size=\"94230528\", alpha=\"0.13\", expect_size=\"47115264\"] \n  13 -> 23 [size =\"47115264\"]\n  13 -> 24 [size =\"47115264\"]\n  13 -> 25 [size =\"47115264\"]\n  13 -> 27 [size =\"47115264\"]\n  14 [size=\"26873856\", alpha=\"0.14\", expect_size=\"13436928\"] \n  14 -> 23 [size =\"13436928\"]\n  14 -> 24 [size =\"13436928\"]\n  14 -> 25 [size =\"13436928\"]\n  14 -> 27 [size =\"13436928\"]\n  15 [size=\"67629056\", alpha=\"0.11\", expect_size=\"33814528\"] \n  15 -> 23 [size =\"33814528\"]\n  15 -> 24 [size =\"33814528\"]\n  15 -> 26 [size =\"33814528\"]\n  15 -> 27 [size =\"33814528\"]\n  15 -> 28 [size =\"33814528\"]\n  15 -> 29 [size =\"33814528\"]\n  16 [size=\"58005504\", alpha=\"0.04\", expect_size=\"29002752\"] \n  16 -> 23 [size =\"29002752\"]\n  16 -> 26 [size =\"29002752\"]\n  16 -> 28 [size =\"29002752\"]\n  16 -> 30 [size =\"29002752\"]\n  17 [size=\"24856576\", alpha=\"0.14\", expect_size=\"12428288\"] \n  17 -> 23 [size =\"12428288\"]\n  17 -> 25 [size =\"12428288\"]\n  17 -> 26 [size =\"12428288\"]\n  17 -> 28 [size =\"12428288\"]\n  17 -> 30 [size =\"12428288\"]\n  18 [size=\"55746560\", alpha=\"0.12\", expect_size=\"27873280\"] \n  18 -> 23 [size =\"27873280\"]\n  18 -> 26 [size =\"27873280\"]\n  18 -> 29 [size =\"27873280\"]\n  18 -> 30 [size =\"27873280\"]\n  19 [size=\"28717056\", alpha=\"0.03\", expect_size=\"14358528\"] \n  19 -> 24 [size =\"14358528\"]\n  19 -> 26 [size =\"14358528\"]\n  20 [size=\"60010496\", alpha=\"0.12\", expect_size=\"30005248\"] \n  20 -> 26 [size =\"30005248\"]\n  20 -> 28 [size =\"30005248\"]\n  20 -> 29 [size =\"30005248\"]\n  21 [size=\"77215744\", alpha=\"0.10\", expect_size=\"38607872\"] \n  21 -> 23 [size =\"38607872\"]\n  21 -> 24 [size =\"38607872\"]\n  21 -> 26 [size =\"38607872\"]\n  22 [size=\"12007424\", alpha=\"0.01\", expect_size=\"6003712\"] \n  22 -> 24 [size =\"6003712\"]\n  22 -> 24 [size =\"6003712\"]\n  22 -> 27 [size =\"6003712\"]\n  22 -> 28 [size =\"6003712\"]\n  23 [size=\"24178688\", alpha=\"0.13\", expect_size=\"12089344\"] \n  24 [size=\"84416512\", alpha=\"0.04\", expect_size=\"42208256\"] \n  25 [size=\"56844288\", alpha=\"0.19\", expect_size=\"28422144\"] \n  26 [size=\"16402432\", alpha=\"0.14\", expect_size=\"8201216\"] \n  27 [size=\"33036288\", alpha=\"0.02\", expect_size=\"16518144\"] \n  28 [size=\"99485696\", alpha=\"0.09\", expect_size=\"49742848\"] \n  29 [size=\"61497344\", alpha=\"0.10\", expect_size=\"30748672\"] \n  30 [size=\"74274816\", alpha=\"0.17\", expect_size=\"37137408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94000640\", alpha=\"0.02\", expect_size=\"37600256\"] \n  1 -> 2 [size =\"37600256\"]\n  2 [size=\"41789440\", alpha=\"0.17\", expect_size=\"16715776\"] \n  2 -> 3 [size =\"16715776\"]\n  3 [size=\"47500800\", alpha=\"0.06\", expect_size=\"19000320\"] \n  3 -> 4 [size =\"19000320\"]\n  4 [size=\"129466880\", alpha=\"0.02\", expect_size=\"51786752\"] \n  4 -> 5 [size =\"51786752\"]\n  5 [size=\"106181120\", alpha=\"0.02\", expect_size=\"42472448\"] \n  5 -> 6 [size =\"42472448\"]\n  6 [size=\"124183040\", alpha=\"0.08\", expect_size=\"49673216\"] \n  6 -> 7 [size =\"49673216\"]\n  7 [size=\"127413760\", alpha=\"0.07\", expect_size=\"50965504\"] \n  7 -> 8 [size =\"50965504\"]\n  8 [size=\"98421760\", alpha=\"0.01\", expect_size=\"39368704\"] \n  8 -> 9 [size =\"39368704\"]\n  9 [size=\"127078400\", alpha=\"0.05\", expect_size=\"50831360\"] \n  9 -> 10 [size =\"50831360\"]\n  10 [size=\"77895680\", alpha=\"0.15\", expect_size=\"31158272\"] \n  10 -> 11 [size =\"31158272\"]\n  11 [size=\"75128320\", alpha=\"0.06\", expect_size=\"30051328\"] \n  11 -> 12 [size =\"30051328\"]\n  12 [size=\"84052480\", alpha=\"0.03\", expect_size=\"33620992\"] \n  12 -> 13 [size =\"33620992\"]\n  13 [size=\"66165760\", alpha=\"0.00\", expect_size=\"26466304\"] \n  13 -> 14 [size =\"26466304\"]\n  14 [size=\"100267520\", alpha=\"0.11\", expect_size=\"40107008\"] \n  14 -> 15 [size =\"40107008\"]\n  15 [size=\"111014400\", alpha=\"0.10\", expect_size=\"44405760\"] \n  15 -> 16 [size =\"44405760\"]\n  16 [size=\"125460480\", alpha=\"0.14\", expect_size=\"50184192\"] \n  16 -> 17 [size =\"50184192\"]\n  17 [size=\"52170240\", alpha=\"0.07\", expect_size=\"20868096\"] \n  17 -> 18 [size =\"20868096\"]\n  18 [size=\"92869120\", alpha=\"0.14\", expect_size=\"37147648\"] \n  18 -> 19 [size =\"37147648\"]\n  19 [size=\"101184000\", alpha=\"0.17\", expect_size=\"40473600\"] \n  19 -> 20 [size =\"40473600\"]\n  20 [size=\"128742400\", alpha=\"0.19\", expect_size=\"51496960\"] \n  20 -> 21 [size =\"51496960\"]\n  21 [size=\"98001920\", alpha=\"0.14\", expect_size=\"39200768\"] \n  21 -> 22 [size =\"39200768\"]\n  22 [size=\"16657920\", alpha=\"0.15\", expect_size=\"6663168\"] \n  22 -> 23 [size =\"6663168\"]\n  23 [size=\"33873920\", alpha=\"0.01\", expect_size=\"13549568\"] \n  23 -> 24 [size =\"13549568\"]\n  24 [size=\"36308480\", alpha=\"0.07\", expect_size=\"14523392\"] \n  24 -> 25 [size =\"14523392\"]\n  25 [size=\"103646720\", alpha=\"0.08\", expect_size=\"41458688\"] \n  25 -> 26 [size =\"41458688\"]\n  26 [size=\"43440640\", alpha=\"0.09\", expect_size=\"17376256\"] \n  26 -> 27 [size =\"17376256\"]\n  27 [size=\"124541440\", alpha=\"0.09\", expect_size=\"49816576\"] \n  27 -> 28 [size =\"49816576\"]\n  28 [size=\"50506240\", alpha=\"0.03\", expect_size=\"20202496\"] \n  28 -> 29 [size =\"20202496\"]\n  29 [size=\"13839360\", alpha=\"0.17\", expect_size=\"5535744\"] \n  29 -> 30 [size =\"5535744\"]\n  30 [size=\"114542080\", alpha=\"0.02\", expect_size=\"45816832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39741440\", alpha=\"0.15\", expect_size=\"11922432\"] \n  1 -> 11 [size =\"11922432\"]\n  1 -> 15 [size =\"11922432\"]\n  1 -> 16 [size =\"11922432\"]\n  1 -> 17 [size =\"11922432\"]\n  1 -> 18 [size =\"11922432\"]\n  1 -> 19 [size =\"11922432\"]\n  2 [size=\"101109760\", alpha=\"0.17\", expect_size=\"30332928\"] \n  2 -> 12 [size =\"30332928\"]\n  2 -> 13 [size =\"30332928\"]\n  2 -> 15 [size =\"30332928\"]\n  2 -> 16 [size =\"30332928\"]\n  2 -> 17 [size =\"30332928\"]\n  2 -> 19 [size =\"30332928\"]\n  3 [size=\"68143787\", alpha=\"0.03\", expect_size=\"20443136\"] \n  3 -> 11 [size =\"20443136\"]\n  3 -> 13 [size =\"20443136\"]\n  3 -> 14 [size =\"20443136\"]\n  3 -> 15 [size =\"20443136\"]\n  3 -> 16 [size =\"20443136\"]\n  3 -> 17 [size =\"20443136\"]\n  4 [size=\"117582507\", alpha=\"0.14\", expect_size=\"35274752\"] \n  4 -> 12 [size =\"35274752\"]\n  4 -> 13 [size =\"35274752\"]\n  4 -> 14 [size =\"35274752\"]\n  4 -> 17 [size =\"35274752\"]\n  4 -> 19 [size =\"35274752\"]\n  5 [size=\"115220480\", alpha=\"0.08\", expect_size=\"34566144\"] \n  5 -> 12 [size =\"34566144\"]\n  5 -> 13 [size =\"34566144\"]\n  5 -> 14 [size =\"34566144\"]\n  5 -> 16 [size =\"34566144\"]\n  5 -> 17 [size =\"34566144\"]\n  5 -> 18 [size =\"34566144\"]\n  5 -> 19 [size =\"34566144\"]\n  6 [size=\"142124373\", alpha=\"0.15\", expect_size=\"42637312\"] \n  6 -> 11 [size =\"42637312\"]\n  6 -> 12 [size =\"42637312\"]\n  6 -> 16 [size =\"42637312\"]\n  6 -> 17 [size =\"42637312\"]\n  6 -> 20 [size =\"42637312\"]\n  7 [size=\"38601387\", alpha=\"0.16\", expect_size=\"11580416\"] \n  7 -> 12 [size =\"11580416\"]\n  7 -> 12 [size =\"11580416\"]\n  7 -> 13 [size =\"11580416\"]\n  7 -> 14 [size =\"11580416\"]\n  7 -> 15 [size =\"11580416\"]\n  7 -> 19 [size =\"11580416\"]\n  8 [size=\"37270187\", alpha=\"0.16\", expect_size=\"11181056\"] \n  8 -> 11 [size =\"11181056\"]\n  8 -> 12 [size =\"11181056\"]\n  8 -> 17 [size =\"11181056\"]\n  9 [size=\"48295253\", alpha=\"0.09\", expect_size=\"14488576\"] \n  9 -> 11 [size =\"14488576\"]\n  9 -> 15 [size =\"14488576\"]\n  9 -> 17 [size =\"14488576\"]\n  9 -> 19 [size =\"14488576\"]\n  10 [size=\"171499520\", alpha=\"0.12\", expect_size=\"51449856\"] \n  10 -> 17 [size =\"51449856\"]\n  10 -> 19 [size =\"51449856\"]\n  11 [size=\"156743680\", alpha=\"0.12\", expect_size=\"47023104\"] \n  11 -> 22 [size =\"47023104\"]\n  11 -> 23 [size =\"47023104\"]\n  11 -> 23 [size =\"47023104\"]\n  11 -> 24 [size =\"47023104\"]\n  11 -> 27 [size =\"47023104\"]\n  12 [size=\"119476907\", alpha=\"0.18\", expect_size=\"35843072\"] \n  12 -> 21 [size =\"35843072\"]\n  12 -> 23 [size =\"35843072\"]\n  12 -> 24 [size =\"35843072\"]\n  12 -> 26 [size =\"35843072\"]\n  12 -> 27 [size =\"35843072\"]\n  12 -> 28 [size =\"35843072\"]\n  13 [size=\"95429973\", alpha=\"0.00\", expect_size=\"28628992\"] \n  13 -> 23 [size =\"28628992\"]\n  13 -> 25 [size =\"28628992\"]\n  13 -> 26 [size =\"28628992\"]\n  13 -> 27 [size =\"28628992\"]\n  14 [size=\"122794667\", alpha=\"0.13\", expect_size=\"36838400\"] \n  14 -> 25 [size =\"36838400\"]\n  14 -> 29 [size =\"36838400\"]\n  15 [size=\"75857920\", alpha=\"0.04\", expect_size=\"22757376\"] \n  15 -> 21 [size =\"22757376\"]\n  15 -> 22 [size =\"22757376\"]\n  15 -> 24 [size =\"22757376\"]\n  15 -> 27 [size =\"22757376\"]\n  16 [size=\"135232853\", alpha=\"0.12\", expect_size=\"40569856\"] \n  16 -> 21 [size =\"40569856\"]\n  16 -> 22 [size =\"40569856\"]\n  16 -> 23 [size =\"40569856\"]\n  16 -> 24 [size =\"40569856\"]\n  17 [size=\"95143253\", alpha=\"0.02\", expect_size=\"28542976\"] \n  17 -> 21 [size =\"28542976\"]\n  17 -> 22 [size =\"28542976\"]\n  17 -> 24 [size =\"28542976\"]\n  17 -> 25 [size =\"28542976\"]\n  17 -> 26 [size =\"28542976\"]\n  17 -> 27 [size =\"28542976\"]\n  18 [size=\"65679360\", alpha=\"0.12\", expect_size=\"19703808\"] \n  18 -> 23 [size =\"19703808\"]\n  18 -> 24 [size =\"19703808\"]\n  18 -> 25 [size =\"19703808\"]\n  18 -> 26 [size =\"19703808\"]\n  18 -> 26 [size =\"19703808\"]\n  18 -> 27 [size =\"19703808\"]\n  19 [size=\"37614933\", alpha=\"0.04\", expect_size=\"11284480\"] \n  19 -> 23 [size =\"11284480\"]\n  19 -> 27 [size =\"11284480\"]\n  20 [size=\"104570880\", alpha=\"0.15\", expect_size=\"31371264\"] \n  20 -> 21 [size =\"31371264\"]\n  20 -> 22 [size =\"31371264\"]\n  20 -> 23 [size =\"31371264\"]\n  20 -> 24 [size =\"31371264\"]\n  20 -> 26 [size =\"31371264\"]\n  20 -> 28 [size =\"31371264\"]\n  21 [size=\"40024747\", alpha=\"0.09\", expect_size=\"12007424\"] \n  21 -> 30 [size =\"12007424\"]\n  22 [size=\"131420160\", alpha=\"0.13\", expect_size=\"39426048\"] \n  22 -> 30 [size =\"39426048\"]\n  23 [size=\"113882453\", alpha=\"0.03\", expect_size=\"34164736\"] \n  24 [size=\"116510720\", alpha=\"0.07\", expect_size=\"34953216\"] \n  24 -> 30 [size =\"34953216\"]\n  25 [size=\"62184107\", alpha=\"0.02\", expect_size=\"18655232\"] \n  26 [size=\"95665493\", alpha=\"0.14\", expect_size=\"28699648\"] \n  26 -> 30 [size =\"28699648\"]\n  27 [size=\"35027627\", alpha=\"0.08\", expect_size=\"10508288\"] \n  28 [size=\"51186347\", alpha=\"0.05\", expect_size=\"15355904\"] \n  29 [size=\"146944000\", alpha=\"0.06\", expect_size=\"44083200\"] \n  30 [size=\"23801173\", alpha=\"0.06\", expect_size=\"7140352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97150293\", alpha=\"0.10\", expect_size=\"29145088\"] \n  1 -> 12 [size =\"29145088\"]\n  1 -> 14 [size =\"29145088\"]\n  1 -> 16 [size =\"29145088\"]\n  2 [size=\"36078933\", alpha=\"0.10\", expect_size=\"10823680\"] \n  2 -> 14 [size =\"10823680\"]\n  2 -> 16 [size =\"10823680\"]\n  3 [size=\"70492160\", alpha=\"0.19\", expect_size=\"21147648\"] \n  3 -> 10 [size =\"21147648\"]\n  3 -> 12 [size =\"21147648\"]\n  3 -> 16 [size =\"21147648\"]\n  4 [size=\"133143893\", alpha=\"0.02\", expect_size=\"39943168\"] \n  4 -> 10 [size =\"39943168\"]\n  4 -> 11 [size =\"39943168\"]\n  4 -> 13 [size =\"39943168\"]\n  5 [size=\"92866560\", alpha=\"0.05\", expect_size=\"27859968\"] \n  5 -> 11 [size =\"27859968\"]\n  5 -> 14 [size =\"27859968\"]\n  5 -> 15 [size =\"27859968\"]\n  6 [size=\"113421653\", alpha=\"0.07\", expect_size=\"34026496\"] \n  7 [size=\"101270187\", alpha=\"0.05\", expect_size=\"30381056\"] \n  7 -> 11 [size =\"30381056\"]\n  7 -> 17 [size =\"30381056\"]\n  8 [size=\"108072960\", alpha=\"0.04\", expect_size=\"32421888\"] \n  8 -> 13 [size =\"32421888\"]\n  8 -> 14 [size =\"32421888\"]\n  8 -> 15 [size =\"32421888\"]\n  8 -> 17 [size =\"32421888\"]\n  9 [size=\"154470400\", alpha=\"0.13\", expect_size=\"46341120\"] \n  9 -> 11 [size =\"46341120\"]\n  9 -> 14 [size =\"46341120\"]\n  9 -> 15 [size =\"46341120\"]\n  10 [size=\"75523413\", alpha=\"0.08\", expect_size=\"22657024\"] \n  10 -> 18 [size =\"22657024\"]\n  10 -> 23 [size =\"22657024\"]\n  10 -> 27 [size =\"22657024\"]\n  10 -> 28 [size =\"22657024\"]\n  11 [size=\"161075200\", alpha=\"0.07\", expect_size=\"48322560\"] \n  11 -> 20 [size =\"48322560\"]\n  11 -> 24 [size =\"48322560\"]\n  11 -> 25 [size =\"48322560\"]\n  12 [size=\"79609173\", alpha=\"0.15\", expect_size=\"23882752\"] \n  12 -> 22 [size =\"23882752\"]\n  12 -> 23 [size =\"23882752\"]\n  12 -> 25 [size =\"23882752\"]\n  12 -> 27 [size =\"23882752\"]\n  12 -> 28 [size =\"23882752\"]\n  13 [size=\"160235520\", alpha=\"0.14\", expect_size=\"48070656\"] \n  13 -> 21 [size =\"48070656\"]\n  13 -> 22 [size =\"48070656\"]\n  13 -> 25 [size =\"48070656\"]\n  13 -> 27 [size =\"48070656\"]\n  14 [size=\"155808427\", alpha=\"0.16\", expect_size=\"46742528\"] \n  14 -> 19 [size =\"46742528\"]\n  14 -> 20 [size =\"46742528\"]\n  14 -> 21 [size =\"46742528\"]\n  14 -> 23 [size =\"46742528\"]\n  15 [size=\"173885440\", alpha=\"0.08\", expect_size=\"52165632\"] \n  15 -> 21 [size =\"52165632\"]\n  15 -> 24 [size =\"52165632\"]\n  16 [size=\"56975360\", alpha=\"0.08\", expect_size=\"17092608\"] \n  16 -> 21 [size =\"17092608\"]\n  16 -> 22 [size =\"17092608\"]\n  16 -> 26 [size =\"17092608\"]\n  16 -> 27 [size =\"17092608\"]\n  16 -> 28 [size =\"17092608\"]\n  17 [size=\"111185920\", alpha=\"0.03\", expect_size=\"33355776\"] \n  17 -> 18 [size =\"33355776\"]\n  17 -> 22 [size =\"33355776\"]\n  17 -> 23 [size =\"33355776\"]\n  17 -> 24 [size =\"33355776\"]\n  17 -> 25 [size =\"33355776\"]\n  17 -> 28 [size =\"33355776\"]\n  18 [size=\"152217600\", alpha=\"0.11\", expect_size=\"45665280\"] \n  18 -> 29 [size =\"45665280\"]\n  19 [size=\"26234880\", alpha=\"0.15\", expect_size=\"7870464\"] \n  19 -> 29 [size =\"7870464\"]\n  20 [size=\"127068160\", alpha=\"0.05\", expect_size=\"38120448\"] \n  21 [size=\"33716907\", alpha=\"0.04\", expect_size=\"10115072\"] \n  22 [size=\"86408533\", alpha=\"0.06\", expect_size=\"25922560\"] \n  22 -> 30 [size =\"25922560\"]\n  23 [size=\"46766080\", alpha=\"0.15\", expect_size=\"14029824\"] \n  24 [size=\"155842560\", alpha=\"0.18\", expect_size=\"46752768\"] \n  24 -> 29 [size =\"46752768\"]\n  24 -> 30 [size =\"46752768\"]\n  25 [size=\"125477547\", alpha=\"0.11\", expect_size=\"37643264\"] \n  25 -> 29 [size =\"37643264\"]\n  26 [size=\"28716373\", alpha=\"0.16\", expect_size=\"8614912\"] \n  27 [size=\"94870187\", alpha=\"0.12\", expect_size=\"28461056\"] \n  28 [size=\"116698453\", alpha=\"0.19\", expect_size=\"35009536\"] \n  28 -> 29 [size =\"35009536\"]\n  29 [size=\"45936640\", alpha=\"0.04\", expect_size=\"13780992\"] \n  30 [size=\"166946133\", alpha=\"0.16\", expect_size=\"50083840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116628480\", alpha=\"0.19\", expect_size=\"46651392\"] \n  1 -> 2 [size =\"46651392\"]\n  2 [size=\"42539520\", alpha=\"0.16\", expect_size=\"17015808\"] \n  2 -> 3 [size =\"17015808\"]\n  3 [size=\"86387200\", alpha=\"0.10\", expect_size=\"34554880\"] \n  3 -> 4 [size =\"34554880\"]\n  4 [size=\"89428480\", alpha=\"0.17\", expect_size=\"35771392\"] \n  4 -> 5 [size =\"35771392\"]\n  5 [size=\"121464320\", alpha=\"0.14\", expect_size=\"48585728\"] \n  5 -> 6 [size =\"48585728\"]\n  6 [size=\"74199040\", alpha=\"0.11\", expect_size=\"29679616\"] \n  6 -> 7 [size =\"29679616\"]\n  7 [size=\"87116800\", alpha=\"0.10\", expect_size=\"34846720\"] \n  7 -> 8 [size =\"34846720\"]\n  8 [size=\"108846080\", alpha=\"0.09\", expect_size=\"43538432\"] \n  8 -> 9 [size =\"43538432\"]\n  9 [size=\"104673280\", alpha=\"0.09\", expect_size=\"41869312\"] \n  9 -> 10 [size =\"41869312\"]\n  10 [size=\"85286400\", alpha=\"0.00\", expect_size=\"34114560\"] \n  10 -> 11 [size =\"34114560\"]\n  11 [size=\"67878400\", alpha=\"0.06\", expect_size=\"27151360\"] \n  11 -> 12 [size =\"27151360\"]\n  12 [size=\"59450880\", alpha=\"0.05\", expect_size=\"23780352\"] \n  12 -> 13 [size =\"23780352\"]\n  13 [size=\"36313600\", alpha=\"0.18\", expect_size=\"14525440\"] \n  13 -> 14 [size =\"14525440\"]\n  14 [size=\"96816640\", alpha=\"0.15\", expect_size=\"38726656\"] \n  14 -> 15 [size =\"38726656\"]\n  15 [size=\"81428480\", alpha=\"0.07\", expect_size=\"32571392\"] \n  15 -> 16 [size =\"32571392\"]\n  16 [size=\"47119360\", alpha=\"0.00\", expect_size=\"18847744\"] \n  16 -> 17 [size =\"18847744\"]\n  17 [size=\"112279040\", alpha=\"0.16\", expect_size=\"44911616\"] \n  17 -> 18 [size =\"44911616\"]\n  18 [size=\"51729920\", alpha=\"0.11\", expect_size=\"20691968\"] \n  18 -> 19 [size =\"20691968\"]\n  19 [size=\"101954560\", alpha=\"0.11\", expect_size=\"40781824\"] \n  19 -> 20 [size =\"40781824\"]\n  20 [size=\"38376960\", alpha=\"0.02\", expect_size=\"15350784\"] \n  20 -> 21 [size =\"15350784\"]\n  21 [size=\"40478720\", alpha=\"0.11\", expect_size=\"16191488\"] \n  21 -> 22 [size =\"16191488\"]\n  22 [size=\"74611200\", alpha=\"0.05\", expect_size=\"29844480\"] \n  22 -> 23 [size =\"29844480\"]\n  23 [size=\"103528960\", alpha=\"0.11\", expect_size=\"41411584\"] \n  23 -> 24 [size =\"41411584\"]\n  24 [size=\"92334080\", alpha=\"0.10\", expect_size=\"36933632\"] \n  24 -> 25 [size =\"36933632\"]\n  25 [size=\"62530560\", alpha=\"0.08\", expect_size=\"25012224\"] \n  25 -> 26 [size =\"25012224\"]\n  26 [size=\"105533440\", alpha=\"0.16\", expect_size=\"42213376\"] \n  26 -> 27 [size =\"42213376\"]\n  27 [size=\"107504640\", alpha=\"0.17\", expect_size=\"43001856\"] \n  27 -> 28 [size =\"43001856\"]\n  28 [size=\"85478400\", alpha=\"0.13\", expect_size=\"34191360\"] \n  28 -> 29 [size =\"34191360\"]\n  29 [size=\"34137600\", alpha=\"0.06\", expect_size=\"13655040\"] \n  29 -> 30 [size =\"13655040\"]\n  30 [size=\"97702400\", alpha=\"0.10\", expect_size=\"39080960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81425067\", alpha=\"0.17\", expect_size=\"24427520\"] \n  2 [size=\"56569173\", alpha=\"0.19\", expect_size=\"16970752\"] \n  3 [size=\"144151893\", alpha=\"0.07\", expect_size=\"43245568\"] \n  4 [size=\"77762560\", alpha=\"0.12\", expect_size=\"23328768\"] \n  5 [size=\"167290880\", alpha=\"0.09\", expect_size=\"50187264\"] \n  6 [size=\"130368853\", alpha=\"0.11\", expect_size=\"39110656\"] \n  7 [size=\"138861227\", alpha=\"0.12\", expect_size=\"41658368\"] \n  8 [size=\"74294613\", alpha=\"0.04\", expect_size=\"22288384\"] \n  9 [size=\"19657387\", alpha=\"0.10\", expect_size=\"5897216\"] \n  10 [size=\"137919147\", alpha=\"0.13\", expect_size=\"41375744\"] \n  11 [size=\"127894187\", alpha=\"0.12\", expect_size=\"38368256\"] \n  12 [size=\"101147307\", alpha=\"0.09\", expect_size=\"30344192\"] \n  13 [size=\"90576213\", alpha=\"0.12\", expect_size=\"27172864\"] \n  14 [size=\"147087360\", alpha=\"0.14\", expect_size=\"44126208\"] \n  15 [size=\"82066773\", alpha=\"0.15\", expect_size=\"24620032\"] \n  16 [size=\"155187200\", alpha=\"0.18\", expect_size=\"46556160\"] \n  17 [size=\"83363840\", alpha=\"0.05\", expect_size=\"25009152\"] \n  18 [size=\"174305280\", alpha=\"0.20\", expect_size=\"52291584\"] \n  19 [size=\"48346453\", alpha=\"0.15\", expect_size=\"14503936\"] \n  20 [size=\"127747413\", alpha=\"0.15\", expect_size=\"38324224\"] \n  21 [size=\"70106453\", alpha=\"0.03\", expect_size=\"21031936\"] \n  22 [size=\"166816427\", alpha=\"0.16\", expect_size=\"50044928\"] \n  23 [size=\"77632853\", alpha=\"0.05\", expect_size=\"23289856\"] \n  24 [size=\"168151040\", alpha=\"0.02\", expect_size=\"50445312\"] \n  25 [size=\"117449387\", alpha=\"0.18\", expect_size=\"35234816\"] \n  26 [size=\"81008640\", alpha=\"0.09\", expect_size=\"24302592\"] \n  27 [size=\"67809280\", alpha=\"0.14\", expect_size=\"20342784\"] \n  28 [size=\"108185600\", alpha=\"0.07\", expect_size=\"32455680\"] \n  29 [size=\"104663040\", alpha=\"0.01\", expect_size=\"31398912\"] \n  30 [size=\"65303893\", alpha=\"0.09\", expect_size=\"19591168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85332480\", alpha=\"0.03\", expect_size=\"34132992\"] \n  1 -> 16 [size =\"34132992\"]\n  2 [size=\"118120960\", alpha=\"0.10\", expect_size=\"47248384\"] \n  2 -> 12 [size =\"47248384\"]\n  2 -> 14 [size =\"47248384\"]\n  2 -> 16 [size =\"47248384\"]\n  2 -> 19 [size =\"47248384\"]\n  3 [size=\"118796800\", alpha=\"0.18\", expect_size=\"47518720\"] \n  3 -> 14 [size =\"47518720\"]\n  3 -> 16 [size =\"47518720\"]\n  3 -> 17 [size =\"47518720\"]\n  3 -> 19 [size =\"47518720\"]\n  4 [size=\"77808640\", alpha=\"0.08\", expect_size=\"31123456\"] \n  4 -> 12 [size =\"31123456\"]\n  4 -> 14 [size =\"31123456\"]\n  4 -> 16 [size =\"31123456\"]\n  4 -> 18 [size =\"31123456\"]\n  5 [size=\"80568320\", alpha=\"0.18\", expect_size=\"32227328\"] \n  5 -> 11 [size =\"32227328\"]\n  5 -> 17 [size =\"32227328\"]\n  6 [size=\"82063360\", alpha=\"0.13\", expect_size=\"32825344\"] \n  6 -> 11 [size =\"32825344\"]\n  7 [size=\"43048960\", alpha=\"0.13\", expect_size=\"17219584\"] \n  7 -> 13 [size =\"17219584\"]\n  8 [size=\"66995200\", alpha=\"0.08\", expect_size=\"26798080\"] \n  8 -> 19 [size =\"26798080\"]\n  9 [size=\"123051520\", alpha=\"0.07\", expect_size=\"49220608\"] \n  9 -> 15 [size =\"49220608\"]\n  9 -> 19 [size =\"49220608\"]\n  10 [size=\"81671680\", alpha=\"0.19\", expect_size=\"32668672\"] \n  10 -> 13 [size =\"32668672\"]\n  10 -> 14 [size =\"32668672\"]\n  10 -> 16 [size =\"32668672\"]\n  11 [size=\"18631680\", alpha=\"0.14\", expect_size=\"7452672\"] \n  11 -> 20 [size =\"7452672\"]\n  11 -> 22 [size =\"7452672\"]\n  11 -> 23 [size =\"7452672\"]\n  11 -> 24 [size =\"7452672\"]\n  11 -> 27 [size =\"7452672\"]\n  12 [size=\"36254720\", alpha=\"0.19\", expect_size=\"14501888\"] \n  12 -> 20 [size =\"14501888\"]\n  12 -> 22 [size =\"14501888\"]\n  12 -> 24 [size =\"14501888\"]\n  12 -> 24 [size =\"14501888\"]\n  12 -> 25 [size =\"14501888\"]\n  12 -> 29 [size =\"14501888\"]\n  13 [size=\"97850880\", alpha=\"0.17\", expect_size=\"39140352\"] \n  13 -> 20 [size =\"39140352\"]\n  13 -> 21 [size =\"39140352\"]\n  13 -> 22 [size =\"39140352\"]\n  13 -> 25 [size =\"39140352\"]\n  13 -> 26 [size =\"39140352\"]\n  14 [size=\"83873280\", alpha=\"0.08\", expect_size=\"33549312\"] \n  14 -> 20 [size =\"33549312\"]\n  14 -> 22 [size =\"33549312\"]\n  14 -> 24 [size =\"33549312\"]\n  15 [size=\"128110080\", alpha=\"0.02\", expect_size=\"51244032\"] \n  15 -> 24 [size =\"51244032\"]\n  16 [size=\"118558720\", alpha=\"0.11\", expect_size=\"47423488\"] \n  16 -> 20 [size =\"47423488\"]\n  16 -> 24 [size =\"47423488\"]\n  16 -> 25 [size =\"47423488\"]\n  17 [size=\"80092160\", alpha=\"0.10\", expect_size=\"32036864\"] \n  17 -> 21 [size =\"32036864\"]\n  17 -> 27 [size =\"32036864\"]\n  18 [size=\"38013440\", alpha=\"0.14\", expect_size=\"15205376\"] \n  18 -> 27 [size =\"15205376\"]\n  19 [size=\"82598400\", alpha=\"0.16\", expect_size=\"33039360\"] \n  19 -> 20 [size =\"33039360\"]\n  19 -> 23 [size =\"33039360\"]\n  19 -> 27 [size =\"33039360\"]\n  19 -> 28 [size =\"33039360\"]\n  19 -> 29 [size =\"33039360\"]\n  20 [size=\"123225600\", alpha=\"0.03\", expect_size=\"49290240\"] \n  21 [size=\"114616320\", alpha=\"0.02\", expect_size=\"45846528\"] \n  22 [size=\"77114880\", alpha=\"0.18\", expect_size=\"30845952\"] \n  23 [size=\"68856320\", alpha=\"0.13\", expect_size=\"27542528\"] \n  24 [size=\"51087360\", alpha=\"0.19\", expect_size=\"20434944\"] \n  25 [size=\"100096000\", alpha=\"0.16\", expect_size=\"40038400\"] \n  26 [size=\"109829120\", alpha=\"0.05\", expect_size=\"43931648\"] \n  27 [size=\"57553920\", alpha=\"0.19\", expect_size=\"23021568\"] \n  28 [size=\"117360640\", alpha=\"0.02\", expect_size=\"46944256\"] \n  29 [size=\"79982080\", alpha=\"0.04\", expect_size=\"31992832\"] \n  29 -> 30 [size =\"31992832\"]\n  30 [size=\"55541760\", alpha=\"0.17\", expect_size=\"22216704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171973973\", alpha=\"0.04\", expect_size=\"51592192\"] \n  2 [size=\"83080533\", alpha=\"0.14\", expect_size=\"24924160\"] \n  2 -> 7 [size =\"24924160\"]\n  2 -> 8 [size =\"24924160\"]\n  3 [size=\"41768960\", alpha=\"0.16\", expect_size=\"12530688\"] \n  3 -> 7 [size =\"12530688\"]\n  3 -> 8 [size =\"12530688\"]\n  3 -> 9 [size =\"12530688\"]\n  4 [size=\"164973227\", alpha=\"0.06\", expect_size=\"49491968\"] \n  4 -> 9 [size =\"49491968\"]\n  5 [size=\"82141867\", alpha=\"0.16\", expect_size=\"24642560\"] \n  6 [size=\"121698987\", alpha=\"0.12\", expect_size=\"36509696\"] \n  6 -> 9 [size =\"36509696\"]\n  7 [size=\"83360427\", alpha=\"0.15\", expect_size=\"25008128\"] \n  7 -> 10 [size =\"25008128\"]\n  8 [size=\"36481707\", alpha=\"0.12\", expect_size=\"10944512\"] \n  8 -> 10 [size =\"10944512\"]\n  8 -> 11 [size =\"10944512\"]\n  8 -> 12 [size =\"10944512\"]\n  8 -> 13 [size =\"10944512\"]\n  8 -> 14 [size =\"10944512\"]\n  9 [size=\"172735147\", alpha=\"0.05\", expect_size=\"51820544\"] \n  9 -> 11 [size =\"51820544\"]\n  10 [size=\"32153600\", alpha=\"0.19\", expect_size=\"9646080\"] \n  10 -> 17 [size =\"9646080\"]\n  11 [size=\"90654720\", alpha=\"0.17\", expect_size=\"27196416\"] \n  11 -> 15 [size =\"27196416\"]\n  11 -> 16 [size =\"27196416\"]\n  11 -> 17 [size =\"27196416\"]\n  12 [size=\"120879787\", alpha=\"0.12\", expect_size=\"36263936\"] \n  12 -> 16 [size =\"36263936\"]\n  12 -> 17 [size =\"36263936\"]\n  13 [size=\"71345493\", alpha=\"0.03\", expect_size=\"21403648\"] \n  13 -> 15 [size =\"21403648\"]\n  13 -> 16 [size =\"21403648\"]\n  14 [size=\"39188480\", alpha=\"0.07\", expect_size=\"11756544\"] \n  14 -> 15 [size =\"11756544\"]\n  14 -> 16 [size =\"11756544\"]\n  14 -> 17 [size =\"11756544\"]\n  15 [size=\"87524693\", alpha=\"0.19\", expect_size=\"26257408\"] \n  15 -> 18 [size =\"26257408\"]\n  15 -> 20 [size =\"26257408\"]\n  16 [size=\"53698560\", alpha=\"0.03\", expect_size=\"16109568\"] \n  16 -> 19 [size =\"16109568\"]\n  16 -> 21 [size =\"16109568\"]\n  17 [size=\"149009067\", alpha=\"0.15\", expect_size=\"44702720\"] \n  17 -> 21 [size =\"44702720\"]\n  18 [size=\"113397760\", alpha=\"0.10\", expect_size=\"34019328\"] \n  18 -> 22 [size =\"34019328\"]\n  18 -> 26 [size =\"34019328\"]\n  19 [size=\"47735467\", alpha=\"0.06\", expect_size=\"14320640\"] \n  19 -> 22 [size =\"14320640\"]\n  19 -> 24 [size =\"14320640\"]\n  19 -> 26 [size =\"14320640\"]\n  20 [size=\"90548907\", alpha=\"0.12\", expect_size=\"27164672\"] \n  20 -> 22 [size =\"27164672\"]\n  20 -> 23 [size =\"27164672\"]\n  20 -> 25 [size =\"27164672\"]\n  21 [size=\"86005760\", alpha=\"0.17\", expect_size=\"25801728\"] \n  21 -> 23 [size =\"25801728\"]\n  21 -> 24 [size =\"25801728\"]\n  21 -> 25 [size =\"25801728\"]\n  21 -> 26 [size =\"25801728\"]\n  22 [size=\"59702613\", alpha=\"0.11\", expect_size=\"17910784\"] \n  22 -> 29 [size =\"17910784\"]\n  22 -> 30 [size =\"17910784\"]\n  23 [size=\"150824960\", alpha=\"0.08\", expect_size=\"45247488\"] \n  23 -> 28 [size =\"45247488\"]\n  24 [size=\"171711147\", alpha=\"0.03\", expect_size=\"51513344\"] \n  24 -> 28 [size =\"51513344\"]\n  25 [size=\"66867200\", alpha=\"0.07\", expect_size=\"20060160\"] \n  25 -> 29 [size =\"20060160\"]\n  26 [size=\"60347733\", alpha=\"0.04\", expect_size=\"18104320\"] \n  26 -> 27 [size =\"18104320\"]\n  26 -> 29 [size =\"18104320\"]\n  27 [size=\"85220693\", alpha=\"0.10\", expect_size=\"25566208\"] \n  28 [size=\"47841280\", alpha=\"0.18\", expect_size=\"14352384\"] \n  29 [size=\"128010240\", alpha=\"0.05\", expect_size=\"38403072\"] \n  30 [size=\"20111360\", alpha=\"0.15\", expect_size=\"6033408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146206720\", alpha=\"0.05\", expect_size=\"43862016\"] \n  1 -> 2 [size =\"43862016\"]\n  2 [size=\"35307520\", alpha=\"0.12\", expect_size=\"10592256\"] \n  2 -> 3 [size =\"10592256\"]\n  3 [size=\"136058880\", alpha=\"0.14\", expect_size=\"40817664\"] \n  3 -> 4 [size =\"40817664\"]\n  4 [size=\"131758080\", alpha=\"0.13\", expect_size=\"39527424\"] \n  4 -> 5 [size =\"39527424\"]\n  5 [size=\"142858240\", alpha=\"0.18\", expect_size=\"42857472\"] \n  5 -> 6 [size =\"42857472\"]\n  6 [size=\"70055253\", alpha=\"0.04\", expect_size=\"21016576\"] \n  6 -> 7 [size =\"21016576\"]\n  7 [size=\"27596800\", alpha=\"0.19\", expect_size=\"8279040\"] \n  7 -> 8 [size =\"8279040\"]\n  8 [size=\"148913493\", alpha=\"0.10\", expect_size=\"44674048\"] \n  8 -> 9 [size =\"44674048\"]\n  9 [size=\"61480960\", alpha=\"0.08\", expect_size=\"18444288\"] \n  9 -> 10 [size =\"18444288\"]\n  10 [size=\"144390827\", alpha=\"0.05\", expect_size=\"43317248\"] \n  10 -> 11 [size =\"43317248\"]\n  11 [size=\"125511680\", alpha=\"0.03\", expect_size=\"37653504\"] \n  11 -> 12 [size =\"37653504\"]\n  12 [size=\"167191893\", alpha=\"0.16\", expect_size=\"50157568\"] \n  12 -> 13 [size =\"50157568\"]\n  13 [size=\"107066027\", alpha=\"0.11\", expect_size=\"32119808\"] \n  13 -> 14 [size =\"32119808\"]\n  14 [size=\"58825387\", alpha=\"0.13\", expect_size=\"17647616\"] \n  14 -> 15 [size =\"17647616\"]\n  15 [size=\"158450347\", alpha=\"0.15\", expect_size=\"47535104\"] \n  15 -> 16 [size =\"47535104\"]\n  16 [size=\"142161920\", alpha=\"0.02\", expect_size=\"42648576\"] \n  16 -> 17 [size =\"42648576\"]\n  17 [size=\"174192640\", alpha=\"0.02\", expect_size=\"52257792\"] \n  17 -> 18 [size =\"52257792\"]\n  18 [size=\"165707093\", alpha=\"0.00\", expect_size=\"49712128\"] \n  18 -> 19 [size =\"49712128\"]\n  19 [size=\"90760533\", alpha=\"0.00\", expect_size=\"27228160\"] \n  19 -> 20 [size =\"27228160\"]\n  20 [size=\"155562667\", alpha=\"0.03\", expect_size=\"46668800\"] \n  20 -> 21 [size =\"46668800\"]\n  21 [size=\"34594133\", alpha=\"0.03\", expect_size=\"10378240\"] \n  21 -> 22 [size =\"10378240\"]\n  22 [size=\"55831893\", alpha=\"0.04\", expect_size=\"16749568\"] \n  22 -> 23 [size =\"16749568\"]\n  23 [size=\"22493867\", alpha=\"0.01\", expect_size=\"6748160\"] \n  23 -> 24 [size =\"6748160\"]\n  24 [size=\"107062613\", alpha=\"0.12\", expect_size=\"32118784\"] \n  24 -> 25 [size =\"32118784\"]\n  25 [size=\"52275200\", alpha=\"0.20\", expect_size=\"15682560\"] \n  25 -> 26 [size =\"15682560\"]\n  26 [size=\"171253760\", alpha=\"0.14\", expect_size=\"51376128\"] \n  26 -> 27 [size =\"51376128\"]\n  27 [size=\"26439680\", alpha=\"0.09\", expect_size=\"7931904\"] \n  27 -> 28 [size =\"7931904\"]\n  28 [size=\"42072747\", alpha=\"0.01\", expect_size=\"12621824\"] \n  28 -> 29 [size =\"12621824\"]\n  29 [size=\"44677120\", alpha=\"0.19\", expect_size=\"13403136\"] \n  29 -> 30 [size =\"13403136\"]\n  30 [size=\"45090133\", alpha=\"0.12\", expect_size=\"13527040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71196160\", alpha=\"0.15\", expect_size=\"28478464\"] \n  1 -> 2 [size =\"28478464\"]\n  2 [size=\"40081920\", alpha=\"0.20\", expect_size=\"16032768\"] \n  2 -> 3 [size =\"16032768\"]\n  3 [size=\"102594560\", alpha=\"0.12\", expect_size=\"41037824\"] \n  3 -> 4 [size =\"41037824\"]\n  4 [size=\"50511360\", alpha=\"0.11\", expect_size=\"20204544\"] \n  4 -> 5 [size =\"20204544\"]\n  5 [size=\"109998080\", alpha=\"0.13\", expect_size=\"43999232\"] \n  5 -> 6 [size =\"43999232\"]\n  6 [size=\"113134080\", alpha=\"0.00\", expect_size=\"45253632\"] \n  6 -> 7 [size =\"45253632\"]\n  7 [size=\"45696000\", alpha=\"0.14\", expect_size=\"18278400\"] \n  7 -> 8 [size =\"18278400\"]\n  8 [size=\"23610880\", alpha=\"0.14\", expect_size=\"9444352\"] \n  8 -> 9 [size =\"9444352\"]\n  9 [size=\"55710720\", alpha=\"0.17\", expect_size=\"22284288\"] \n  9 -> 10 [size =\"22284288\"]\n  10 [size=\"74112000\", alpha=\"0.12\", expect_size=\"29644800\"] \n  10 -> 11 [size =\"29644800\"]\n  11 [size=\"129144320\", alpha=\"0.06\", expect_size=\"51657728\"] \n  11 -> 12 [size =\"51657728\"]\n  12 [size=\"96793600\", alpha=\"0.17\", expect_size=\"38717440\"] \n  12 -> 13 [size =\"38717440\"]\n  13 [size=\"94254080\", alpha=\"0.04\", expect_size=\"37701632\"] \n  13 -> 14 [size =\"37701632\"]\n  14 [size=\"49361920\", alpha=\"0.12\", expect_size=\"19744768\"] \n  14 -> 15 [size =\"19744768\"]\n  15 [size=\"114045440\", alpha=\"0.09\", expect_size=\"45618176\"] \n  15 -> 16 [size =\"45618176\"]\n  16 [size=\"73802240\", alpha=\"0.14\", expect_size=\"29520896\"] \n  16 -> 17 [size =\"29520896\"]\n  17 [size=\"74470400\", alpha=\"0.14\", expect_size=\"29788160\"] \n  17 -> 18 [size =\"29788160\"]\n  18 [size=\"37383680\", alpha=\"0.04\", expect_size=\"14953472\"] \n  18 -> 19 [size =\"14953472\"]\n  19 [size=\"118039040\", alpha=\"0.08\", expect_size=\"47215616\"] \n  19 -> 20 [size =\"47215616\"]\n  20 [size=\"102543360\", alpha=\"0.03\", expect_size=\"41017344\"] \n  20 -> 21 [size =\"41017344\"]\n  21 [size=\"52674560\", alpha=\"0.07\", expect_size=\"21069824\"] \n  21 -> 22 [size =\"21069824\"]\n  22 [size=\"85847040\", alpha=\"0.17\", expect_size=\"34338816\"] \n  22 -> 23 [size =\"34338816\"]\n  23 [size=\"69509120\", alpha=\"0.01\", expect_size=\"27803648\"] \n  23 -> 24 [size =\"27803648\"]\n  24 [size=\"92111360\", alpha=\"0.12\", expect_size=\"36844544\"] \n  24 -> 25 [size =\"36844544\"]\n  25 [size=\"42621440\", alpha=\"0.19\", expect_size=\"17048576\"] \n  25 -> 26 [size =\"17048576\"]\n  26 [size=\"93703680\", alpha=\"0.03\", expect_size=\"37481472\"] \n  26 -> 27 [size =\"37481472\"]\n  27 [size=\"59514880\", alpha=\"0.13\", expect_size=\"23805952\"] \n  27 -> 28 [size =\"23805952\"]\n  28 [size=\"22080000\", alpha=\"0.04\", expect_size=\"8832000\"] \n  28 -> 29 [size =\"8832000\"]\n  29 [size=\"44213760\", alpha=\"0.03\", expect_size=\"17685504\"] \n  29 -> 30 [size =\"17685504\"]\n  30 [size=\"91806720\", alpha=\"0.12\", expect_size=\"36722688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81711787\", alpha=\"0.20\", expect_size=\"24513536\"] \n  1 -> 4 [size =\"24513536\"]\n  2 [size=\"123999573\", alpha=\"0.17\", expect_size=\"37199872\"] \n  2 -> 3 [size =\"37199872\"]\n  3 [size=\"164683093\", alpha=\"0.10\", expect_size=\"49404928\"] \n  3 -> 5 [size =\"49404928\"]\n  4 [size=\"95330987\", alpha=\"0.06\", expect_size=\"28599296\"] \n  4 -> 5 [size =\"28599296\"]\n  5 [size=\"49558187\", alpha=\"0.14\", expect_size=\"14867456\"] \n  5 -> 6 [size =\"14867456\"]\n  6 [size=\"162539520\", alpha=\"0.00\", expect_size=\"48761856\"] \n  6 -> 7 [size =\"48761856\"]\n  6 -> 8 [size =\"48761856\"]\n  7 [size=\"109503147\", alpha=\"0.11\", expect_size=\"32850944\"] \n  7 -> 9 [size =\"32850944\"]\n  8 [size=\"102563840\", alpha=\"0.17\", expect_size=\"30769152\"] \n  8 -> 9 [size =\"30769152\"]\n  9 [size=\"159668907\", alpha=\"0.19\", expect_size=\"47900672\"] \n  9 -> 10 [size =\"47900672\"]\n  10 [size=\"28566187\", alpha=\"0.11\", expect_size=\"8569856\"] \n  10 -> 11 [size =\"8569856\"]\n  10 -> 12 [size =\"8569856\"]\n  11 [size=\"38270293\", alpha=\"0.01\", expect_size=\"11481088\"] \n  11 -> 13 [size =\"11481088\"]\n  11 -> 14 [size =\"11481088\"]\n  12 [size=\"34833067\", alpha=\"0.11\", expect_size=\"10449920\"] \n  12 -> 13 [size =\"10449920\"]\n  13 [size=\"167202133\", alpha=\"0.12\", expect_size=\"50160640\"] \n  13 -> 16 [size =\"50160640\"]\n  14 [size=\"88197120\", alpha=\"0.03\", expect_size=\"26459136\"] \n  14 -> 15 [size =\"26459136\"]\n  15 [size=\"135185067\", alpha=\"0.02\", expect_size=\"40555520\"] \n  15 -> 17 [size =\"40555520\"]\n  15 -> 18 [size =\"40555520\"]\n  16 [size=\"85903360\", alpha=\"0.02\", expect_size=\"25771008\"] \n  16 -> 18 [size =\"25771008\"]\n  17 [size=\"86517760\", alpha=\"0.14\", expect_size=\"25955328\"] \n  17 -> 19 [size =\"25955328\"]\n  17 -> 20 [size =\"25955328\"]\n  18 [size=\"170799787\", alpha=\"0.04\", expect_size=\"51239936\"] \n  18 -> 19 [size =\"51239936\"]\n  18 -> 20 [size =\"51239936\"]\n  19 [size=\"143588693\", alpha=\"0.04\", expect_size=\"43076608\"] \n  19 -> 21 [size =\"43076608\"]\n  20 [size=\"137536853\", alpha=\"0.09\", expect_size=\"41261056\"] \n  20 -> 21 [size =\"41261056\"]\n  21 [size=\"65454080\", alpha=\"0.03\", expect_size=\"19636224\"] \n  21 -> 22 [size =\"19636224\"]\n  22 [size=\"72195413\", alpha=\"0.09\", expect_size=\"21658624\"] \n  22 -> 23 [size =\"21658624\"]\n  22 -> 24 [size =\"21658624\"]\n  23 [size=\"161136640\", alpha=\"0.15\", expect_size=\"48340992\"] \n  23 -> 25 [size =\"48340992\"]\n  24 [size=\"101034667\", alpha=\"0.10\", expect_size=\"30310400\"] \n  24 -> 25 [size =\"30310400\"]\n  25 [size=\"126126080\", alpha=\"0.10\", expect_size=\"37837824\"] \n  25 -> 26 [size =\"37837824\"]\n  26 [size=\"141687467\", alpha=\"0.08\", expect_size=\"42506240\"] \n  26 -> 27 [size =\"42506240\"]\n  27 [size=\"160184320\", alpha=\"0.18\", expect_size=\"48055296\"] \n  27 -> 28 [size =\"48055296\"]\n  27 -> 29 [size =\"48055296\"]\n  28 [size=\"115558400\", alpha=\"0.18\", expect_size=\"34667520\"] \n  28 -> 30 [size =\"34667520\"]\n  29 [size=\"147793920\", alpha=\"0.17\", expect_size=\"44338176\"] \n  29 -> 30 [size =\"44338176\"]\n  30 [size=\"23319893\", alpha=\"0.17\", expect_size=\"6995968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99631787\", alpha=\"0.08\", expect_size=\"29889536\"] \n  1 -> 11 [size =\"29889536\"]\n  1 -> 12 [size =\"29889536\"]\n  1 -> 13 [size =\"29889536\"]\n  1 -> 14 [size =\"29889536\"]\n  1 -> 17 [size =\"29889536\"]\n  1 -> 19 [size =\"29889536\"]\n  2 [size=\"103970133\", alpha=\"0.16\", expect_size=\"31191040\"] \n  2 -> 14 [size =\"31191040\"]\n  2 -> 15 [size =\"31191040\"]\n  3 [size=\"172636160\", alpha=\"0.20\", expect_size=\"51790848\"] \n  3 -> 14 [size =\"51790848\"]\n  3 -> 15 [size =\"51790848\"]\n  3 -> 17 [size =\"51790848\"]\n  4 [size=\"99386027\", alpha=\"0.10\", expect_size=\"29815808\"] \n  4 -> 10 [size =\"29815808\"]\n  4 -> 11 [size =\"29815808\"]\n  4 -> 13 [size =\"29815808\"]\n  4 -> 15 [size =\"29815808\"]\n  4 -> 18 [size =\"29815808\"]\n  5 [size=\"51124907\", alpha=\"0.13\", expect_size=\"15337472\"] \n  5 -> 10 [size =\"15337472\"]\n  5 -> 13 [size =\"15337472\"]\n  5 -> 15 [size =\"15337472\"]\n  5 -> 16 [size =\"15337472\"]\n  6 [size=\"25374720\", alpha=\"0.18\", expect_size=\"7612416\"] \n  6 -> 11 [size =\"7612416\"]\n  6 -> 15 [size =\"7612416\"]\n  7 [size=\"110284800\", alpha=\"0.04\", expect_size=\"33085440\"] \n  7 -> 11 [size =\"33085440\"]\n  7 -> 13 [size =\"33085440\"]\n  7 -> 19 [size =\"33085440\"]\n  8 [size=\"140724907\", alpha=\"0.13\", expect_size=\"42217472\"] \n  8 -> 11 [size =\"42217472\"]\n  8 -> 15 [size =\"42217472\"]\n  8 -> 18 [size =\"42217472\"]\n  8 -> 19 [size =\"42217472\"]\n  9 [size=\"61552640\", alpha=\"0.18\", expect_size=\"18465792\"] \n  9 -> 17 [size =\"18465792\"]\n  9 -> 18 [size =\"18465792\"]\n  9 -> 19 [size =\"18465792\"]\n  10 [size=\"120893440\", alpha=\"0.04\", expect_size=\"36268032\"] \n  10 -> 22 [size =\"36268032\"]\n  10 -> 23 [size =\"36268032\"]\n  10 -> 27 [size =\"36268032\"]\n  11 [size=\"18612907\", alpha=\"0.09\", expect_size=\"5583872\"] \n  11 -> 22 [size =\"5583872\"]\n  11 -> 25 [size =\"5583872\"]\n  11 -> 27 [size =\"5583872\"]\n  12 [size=\"81889280\", alpha=\"0.19\", expect_size=\"24566784\"] \n  12 -> 28 [size =\"24566784\"]\n  13 [size=\"48653653\", alpha=\"0.07\", expect_size=\"14596096\"] \n  13 -> 21 [size =\"14596096\"]\n  13 -> 22 [size =\"14596096\"]\n  13 -> 24 [size =\"14596096\"]\n  13 -> 26 [size =\"14596096\"]\n  13 -> 27 [size =\"14596096\"]\n  14 [size=\"48455680\", alpha=\"0.07\", expect_size=\"14536704\"] \n  14 -> 21 [size =\"14536704\"]\n  14 -> 24 [size =\"14536704\"]\n  14 -> 26 [size =\"14536704\"]\n  14 -> 26 [size =\"14536704\"]\n  15 [size=\"129972907\", alpha=\"0.08\", expect_size=\"38991872\"] \n  15 -> 20 [size =\"38991872\"]\n  15 -> 21 [size =\"38991872\"]\n  15 -> 25 [size =\"38991872\"]\n  16 [size=\"77482667\", alpha=\"0.01\", expect_size=\"23244800\"] \n  16 -> 21 [size =\"23244800\"]\n  16 -> 23 [size =\"23244800\"]\n  16 -> 25 [size =\"23244800\"]\n  17 [size=\"65252693\", alpha=\"0.17\", expect_size=\"19575808\"] \n  17 -> 21 [size =\"19575808\"]\n  17 -> 23 [size =\"19575808\"]\n  17 -> 25 [size =\"19575808\"]\n  17 -> 26 [size =\"19575808\"]\n  18 [size=\"100198400\", alpha=\"0.18\", expect_size=\"30059520\"] \n  18 -> 23 [size =\"30059520\"]\n  18 -> 25 [size =\"30059520\"]\n  18 -> 25 [size =\"30059520\"]\n  18 -> 27 [size =\"30059520\"]\n  19 [size=\"45554347\", alpha=\"0.17\", expect_size=\"13666304\"] \n  19 -> 22 [size =\"13666304\"]\n  19 -> 27 [size =\"13666304\"]\n  20 [size=\"30890667\", alpha=\"0.15\", expect_size=\"9267200\"] \n  21 [size=\"64942080\", alpha=\"0.04\", expect_size=\"19482624\"] \n  22 [size=\"137762133\", alpha=\"0.03\", expect_size=\"41328640\"] \n  23 [size=\"132280320\", alpha=\"0.03\", expect_size=\"39684096\"] \n  23 -> 29 [size =\"39684096\"]\n  23 -> 30 [size =\"39684096\"]\n  24 [size=\"29641387\", alpha=\"0.12\", expect_size=\"8892416\"] \n  24 -> 29 [size =\"8892416\"]\n  25 [size=\"83909973\", alpha=\"0.06\", expect_size=\"25172992\"] \n  25 -> 29 [size =\"25172992\"]\n  26 [size=\"146667520\", alpha=\"0.01\", expect_size=\"44000256\"] \n  26 -> 29 [size =\"44000256\"]\n  26 -> 30 [size =\"44000256\"]\n  27 [size=\"152145920\", alpha=\"0.08\", expect_size=\"45643776\"] \n  27 -> 29 [size =\"45643776\"]\n  27 -> 30 [size =\"45643776\"]\n  28 [size=\"126549333\", alpha=\"0.10\", expect_size=\"37964800\"] \n  28 -> 29 [size =\"37964800\"]\n  28 -> 30 [size =\"37964800\"]\n  29 [size=\"113309013\", alpha=\"0.18\", expect_size=\"33992704\"] \n  30 [size=\"92453547\", alpha=\"0.19\", expect_size=\"27736064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88770560\", alpha=\"0.07\", expect_size=\"35508224\"] \n  1 -> 2 [size =\"35508224\"]\n  2 [size=\"78799360\", alpha=\"0.05\", expect_size=\"31519744\"] \n  2 -> 3 [size =\"31519744\"]\n  3 [size=\"101058560\", alpha=\"0.08\", expect_size=\"40423424\"] \n  3 -> 4 [size =\"40423424\"]\n  4 [size=\"55508480\", alpha=\"0.18\", expect_size=\"22203392\"] \n  4 -> 5 [size =\"22203392\"]\n  5 [size=\"79928320\", alpha=\"0.00\", expect_size=\"31971328\"] \n  5 -> 6 [size =\"31971328\"]\n  6 [size=\"18818560\", alpha=\"0.12\", expect_size=\"7527424\"] \n  6 -> 7 [size =\"7527424\"]\n  7 [size=\"87710720\", alpha=\"0.20\", expect_size=\"35084288\"] \n  7 -> 8 [size =\"35084288\"]\n  8 [size=\"121021440\", alpha=\"0.20\", expect_size=\"48408576\"] \n  8 -> 9 [size =\"48408576\"]\n  9 [size=\"67578880\", alpha=\"0.14\", expect_size=\"27031552\"] \n  9 -> 10 [size =\"27031552\"]\n  10 [size=\"126676480\", alpha=\"0.14\", expect_size=\"50670592\"] \n  10 -> 11 [size =\"50670592\"]\n  11 [size=\"18475520\", alpha=\"0.05\", expect_size=\"7390208\"] \n  11 -> 12 [size =\"7390208\"]\n  12 [size=\"60910080\", alpha=\"0.16\", expect_size=\"24364032\"] \n  12 -> 13 [size =\"24364032\"]\n  13 [size=\"90526720\", alpha=\"0.20\", expect_size=\"36210688\"] \n  13 -> 14 [size =\"36210688\"]\n  14 [size=\"18823680\", alpha=\"0.03\", expect_size=\"7529472\"] \n  14 -> 15 [size =\"7529472\"]\n  15 [size=\"124866560\", alpha=\"0.11\", expect_size=\"49946624\"] \n  15 -> 16 [size =\"49946624\"]\n  16 [size=\"127795200\", alpha=\"0.19\", expect_size=\"51118080\"] \n  16 -> 17 [size =\"51118080\"]\n  17 [size=\"81067520\", alpha=\"0.08\", expect_size=\"32427008\"] \n  17 -> 18 [size =\"32427008\"]\n  18 [size=\"78712320\", alpha=\"0.17\", expect_size=\"31484928\"] \n  18 -> 19 [size =\"31484928\"]\n  19 [size=\"76157440\", alpha=\"0.20\", expect_size=\"30462976\"] \n  19 -> 20 [size =\"30462976\"]\n  20 [size=\"43560960\", alpha=\"0.14\", expect_size=\"17424384\"] \n  20 -> 21 [size =\"17424384\"]\n  21 [size=\"125255680\", alpha=\"0.00\", expect_size=\"50102272\"] \n  21 -> 22 [size =\"50102272\"]\n  22 [size=\"37486080\", alpha=\"0.18\", expect_size=\"14994432\"] \n  22 -> 23 [size =\"14994432\"]\n  23 [size=\"15055360\", alpha=\"0.11\", expect_size=\"6022144\"] \n  23 -> 24 [size =\"6022144\"]\n  24 [size=\"13734400\", alpha=\"0.11\", expect_size=\"5493760\"] \n  24 -> 25 [size =\"5493760\"]\n  25 [size=\"28656640\", alpha=\"0.02\", expect_size=\"11462656\"] \n  25 -> 26 [size =\"11462656\"]\n  26 [size=\"95470080\", alpha=\"0.14\", expect_size=\"38188032\"] \n  26 -> 27 [size =\"38188032\"]\n  27 [size=\"88967680\", alpha=\"0.19\", expect_size=\"35587072\"] \n  27 -> 28 [size =\"35587072\"]\n  28 [size=\"15508480\", alpha=\"0.02\", expect_size=\"6203392\"] \n  28 -> 29 [size =\"6203392\"]\n  29 [size=\"114828800\", alpha=\"0.15\", expect_size=\"45931520\"] \n  29 -> 30 [size =\"45931520\"]\n  30 [size=\"113628160\", alpha=\"0.07\", expect_size=\"45451264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42757120\", alpha=\"0.17\", expect_size=\"17102848\"] \n  1 -> 15 [size =\"17102848\"]\n  1 -> 16 [size =\"17102848\"]\n  1 -> 17 [size =\"17102848\"]\n  1 -> 18 [size =\"17102848\"]\n  1 -> 22 [size =\"17102848\"]\n  1 -> 23 [size =\"17102848\"]\n  2 [size=\"98227200\", alpha=\"0.02\", expect_size=\"39290880\"] \n  2 -> 16 [size =\"39290880\"]\n  2 -> 17 [size =\"39290880\"]\n  2 -> 17 [size =\"39290880\"]\n  2 -> 18 [size =\"39290880\"]\n  2 -> 22 [size =\"39290880\"]\n  2 -> 23 [size =\"39290880\"]\n  3 [size=\"14794240\", alpha=\"0.02\", expect_size=\"5917696\"] \n  3 -> 19 [size =\"5917696\"]\n  3 -> 21 [size =\"5917696\"]\n  3 -> 23 [size =\"5917696\"]\n  4 [size=\"97559040\", alpha=\"0.17\", expect_size=\"39023616\"] \n  4 -> 17 [size =\"39023616\"]\n  4 -> 18 [size =\"39023616\"]\n  4 -> 19 [size =\"39023616\"]\n  4 -> 23 [size =\"39023616\"]\n  5 [size=\"122360320\", alpha=\"0.08\", expect_size=\"48944128\"] \n  5 -> 14 [size =\"48944128\"]\n  5 -> 17 [size =\"48944128\"]\n  5 -> 19 [size =\"48944128\"]\n  6 [size=\"34421760\", alpha=\"0.02\", expect_size=\"13768704\"] \n  6 -> 20 [size =\"13768704\"]\n  7 [size=\"58076160\", alpha=\"0.12\", expect_size=\"23230464\"] \n  7 -> 16 [size =\"23230464\"]\n  7 -> 20 [size =\"23230464\"]\n  8 [size=\"33968640\", alpha=\"0.08\", expect_size=\"13587456\"] \n  8 -> 19 [size =\"13587456\"]\n  8 -> 22 [size =\"13587456\"]\n  8 -> 23 [size =\"13587456\"]\n  9 [size=\"86446080\", alpha=\"0.07\", expect_size=\"34578432\"] \n  9 -> 14 [size =\"34578432\"]\n  9 -> 17 [size =\"34578432\"]\n  9 -> 22 [size =\"34578432\"]\n  10 [size=\"63449600\", alpha=\"0.07\", expect_size=\"25379840\"] \n  10 -> 15 [size =\"25379840\"]\n  10 -> 16 [size =\"25379840\"]\n  10 -> 22 [size =\"25379840\"]\n  11 [size=\"19010560\", alpha=\"0.09\", expect_size=\"7604224\"] \n  11 -> 19 [size =\"7604224\"]\n  11 -> 20 [size =\"7604224\"]\n  12 [size=\"117885440\", alpha=\"0.14\", expect_size=\"47154176\"] \n  12 -> 17 [size =\"47154176\"]\n  12 -> 19 [size =\"47154176\"]\n  12 -> 20 [size =\"47154176\"]\n  13 [size=\"13783040\", alpha=\"0.14\", expect_size=\"5513216\"] \n  13 -> 17 [size =\"5513216\"]\n  13 -> 19 [size =\"5513216\"]\n  13 -> 20 [size =\"5513216\"]\n  13 -> 22 [size =\"5513216\"]\n  14 [size=\"24652800\", alpha=\"0.03\", expect_size=\"9861120\"] \n  14 -> 26 [size =\"9861120\"]\n  14 -> 28 [size =\"9861120\"]\n  15 [size=\"124060160\", alpha=\"0.15\", expect_size=\"49624064\"] \n  15 -> 24 [size =\"49624064\"]\n  15 -> 27 [size =\"49624064\"]\n  16 [size=\"55920640\", alpha=\"0.03\", expect_size=\"22368256\"] \n  16 -> 25 [size =\"22368256\"]\n  16 -> 27 [size =\"22368256\"]\n  16 -> 28 [size =\"22368256\"]\n  17 [size=\"69985280\", alpha=\"0.18\", expect_size=\"27994112\"] \n  17 -> 24 [size =\"27994112\"]\n  17 -> 27 [size =\"27994112\"]\n  17 -> 28 [size =\"27994112\"]\n  18 [size=\"24775680\", alpha=\"0.06\", expect_size=\"9910272\"] \n  18 -> 25 [size =\"9910272\"]\n  18 -> 27 [size =\"9910272\"]\n  19 [size=\"72686080\", alpha=\"0.20\", expect_size=\"29074432\"] \n  19 -> 27 [size =\"29074432\"]\n  19 -> 28 [size =\"29074432\"]\n  20 [size=\"112414720\", alpha=\"0.05\", expect_size=\"44965888\"] \n  20 -> 25 [size =\"44965888\"]\n  21 [size=\"35776000\", alpha=\"0.16\", expect_size=\"14310400\"] \n  21 -> 25 [size =\"14310400\"]\n  21 -> 26 [size =\"14310400\"]\n  21 -> 28 [size =\"14310400\"]\n  22 [size=\"91458560\", alpha=\"0.01\", expect_size=\"36583424\"] \n  22 -> 24 [size =\"36583424\"]\n  22 -> 25 [size =\"36583424\"]\n  22 -> 26 [size =\"36583424\"]\n  22 -> 28 [size =\"36583424\"]\n  23 [size=\"54481920\", alpha=\"0.06\", expect_size=\"21792768\"] \n  23 -> 24 [size =\"21792768\"]\n  23 -> 28 [size =\"21792768\"]\n  24 [size=\"19688960\", alpha=\"0.05\", expect_size=\"7875584\"] \n  25 [size=\"38041600\", alpha=\"0.03\", expect_size=\"15216640\"] \n  26 [size=\"126592000\", alpha=\"0.05\", expect_size=\"50636800\"] \n  26 -> 29 [size =\"50636800\"]\n  26 -> 30 [size =\"50636800\"]\n  27 [size=\"27138560\", alpha=\"0.14\", expect_size=\"10855424\"] \n  27 -> 30 [size =\"10855424\"]\n  28 [size=\"17858560\", alpha=\"0.07\", expect_size=\"7143424\"] \n  29 [size=\"54696960\", alpha=\"0.12\", expect_size=\"21878784\"] \n  30 [size=\"53219840\", alpha=\"0.06\", expect_size=\"21287936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142854827\", alpha=\"0.17\", expect_size=\"42856448\"] \n  1 -> 9 [size =\"42856448\"]\n  1 -> 10 [size =\"42856448\"]\n  1 -> 11 [size =\"42856448\"]\n  2 [size=\"81510400\", alpha=\"0.19\", expect_size=\"24453120\"] \n  2 -> 7 [size =\"24453120\"]\n  3 [size=\"61006507\", alpha=\"0.13\", expect_size=\"18301952\"] \n  3 -> 7 [size =\"18301952\"]\n  3 -> 8 [size =\"18301952\"]\n  3 -> 9 [size =\"18301952\"]\n  3 -> 11 [size =\"18301952\"]\n  4 [size=\"68846933\", alpha=\"0.01\", expect_size=\"20654080\"] \n  4 -> 6 [size =\"20654080\"]\n  4 -> 7 [size =\"20654080\"]\n  4 -> 8 [size =\"20654080\"]\n  4 -> 10 [size =\"20654080\"]\n  4 -> 12 [size =\"20654080\"]\n  5 [size=\"56637440\", alpha=\"0.11\", expect_size=\"16991232\"] \n  5 -> 6 [size =\"16991232\"]\n  5 -> 7 [size =\"16991232\"]\n  5 -> 8 [size =\"16991232\"]\n  5 -> 9 [size =\"16991232\"]\n  5 -> 10 [size =\"16991232\"]\n  5 -> 12 [size =\"16991232\"]\n  6 [size=\"112066560\", alpha=\"0.17\", expect_size=\"33619968\"] \n  6 -> 15 [size =\"33619968\"]\n  7 [size=\"147619840\", alpha=\"0.17\", expect_size=\"44285952\"] \n  7 -> 13 [size =\"44285952\"]\n  7 -> 15 [size =\"44285952\"]\n  8 [size=\"33969493\", alpha=\"0.15\", expect_size=\"10190848\"] \n  9 [size=\"53705387\", alpha=\"0.18\", expect_size=\"16111616\"] \n  9 -> 14 [size =\"16111616\"]\n  10 [size=\"64904533\", alpha=\"0.04\", expect_size=\"19471360\"] \n  11 [size=\"117558613\", alpha=\"0.15\", expect_size=\"35267584\"] \n  11 -> 15 [size =\"35267584\"]\n  12 [size=\"94474240\", alpha=\"0.12\", expect_size=\"28342272\"] \n  12 -> 14 [size =\"28342272\"]\n  13 [size=\"86077440\", alpha=\"0.08\", expect_size=\"25823232\"] \n  13 -> 16 [size =\"25823232\"]\n  13 -> 17 [size =\"25823232\"]\n  13 -> 18 [size =\"25823232\"]\n  14 [size=\"29265920\", alpha=\"0.18\", expect_size=\"8779776\"] \n  14 -> 16 [size =\"8779776\"]\n  14 -> 18 [size =\"8779776\"]\n  15 [size=\"40110080\", alpha=\"0.04\", expect_size=\"12033024\"] \n  15 -> 16 [size =\"12033024\"]\n  15 -> 17 [size =\"12033024\"]\n  16 [size=\"123132587\", alpha=\"0.17\", expect_size=\"36939776\"] \n  16 -> 19 [size =\"36939776\"]\n  16 -> 20 [size =\"36939776\"]\n  17 [size=\"97259520\", alpha=\"0.14\", expect_size=\"29177856\"] \n  17 -> 21 [size =\"29177856\"]\n  18 [size=\"70918827\", alpha=\"0.01\", expect_size=\"21275648\"] \n  18 -> 20 [size =\"21275648\"]\n  18 -> 21 [size =\"21275648\"]\n  19 [size=\"33245867\", alpha=\"0.14\", expect_size=\"9973760\"] \n  19 -> 23 [size =\"9973760\"]\n  20 [size=\"172670293\", alpha=\"0.08\", expect_size=\"51801088\"] \n  21 [size=\"47773013\", alpha=\"0.18\", expect_size=\"14331904\"] \n  21 -> 22 [size =\"14331904\"]\n  22 [size=\"165512533\", alpha=\"0.16\", expect_size=\"49653760\"] \n  22 -> 24 [size =\"49653760\"]\n  22 -> 25 [size =\"49653760\"]\n  23 [size=\"99355307\", alpha=\"0.20\", expect_size=\"29806592\"] \n  24 [size=\"159501653\", alpha=\"0.10\", expect_size=\"47850496\"] \n  24 -> 29 [size =\"47850496\"]\n  25 [size=\"144285013\", alpha=\"0.05\", expect_size=\"43285504\"] \n  25 -> 26 [size =\"43285504\"]\n  25 -> 27 [size =\"43285504\"]\n  25 -> 28 [size =\"43285504\"]\n  25 -> 29 [size =\"43285504\"]\n  26 [size=\"20032853\", alpha=\"0.13\", expect_size=\"6009856\"] \n  27 [size=\"156798293\", alpha=\"0.16\", expect_size=\"47039488\"] \n  28 [size=\"110441813\", alpha=\"0.02\", expect_size=\"33132544\"] \n  28 -> 30 [size =\"33132544\"]\n  29 [size=\"121258667\", alpha=\"0.13\", expect_size=\"36377600\"] \n  30 [size=\"74526720\", alpha=\"0.09\", expect_size=\"22358016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49260544\", alpha=\"0.00\", expect_size=\"24630272\"] \n  1 -> 14 [size =\"24630272\"]\n  1 -> 15 [size =\"24630272\"]\n  1 -> 16 [size =\"24630272\"]\n  1 -> 17 [size =\"24630272\"]\n  1 -> 19 [size =\"24630272\"]\n  1 -> 20 [size =\"24630272\"]\n  2 [size=\"85110784\", alpha=\"0.09\", expect_size=\"42555392\"] \n  2 -> 13 [size =\"42555392\"]\n  2 -> 15 [size =\"42555392\"]\n  2 -> 16 [size =\"42555392\"]\n  3 [size=\"54493184\", alpha=\"0.14\", expect_size=\"27246592\"] \n  3 -> 11 [size =\"27246592\"]\n  3 -> 16 [size =\"27246592\"]\n  4 [size=\"77434880\", alpha=\"0.09\", expect_size=\"38717440\"] \n  4 -> 13 [size =\"38717440\"]\n  4 -> 16 [size =\"38717440\"]\n  5 [size=\"76126208\", alpha=\"0.03\", expect_size=\"38063104\"] \n  5 -> 15 [size =\"38063104\"]\n  5 -> 19 [size =\"38063104\"]\n  5 -> 20 [size =\"38063104\"]\n  6 [size=\"30535680\", alpha=\"0.04\", expect_size=\"15267840\"] \n  6 -> 13 [size =\"15267840\"]\n  6 -> 15 [size =\"15267840\"]\n  6 -> 19 [size =\"15267840\"]\n  7 [size=\"91334656\", alpha=\"0.05\", expect_size=\"45667328\"] \n  7 -> 13 [size =\"45667328\"]\n  7 -> 15 [size =\"45667328\"]\n  7 -> 19 [size =\"45667328\"]\n  8 [size=\"16113664\", alpha=\"0.05\", expect_size=\"8056832\"] \n  8 -> 11 [size =\"8056832\"]\n  8 -> 13 [size =\"8056832\"]\n  8 -> 14 [size =\"8056832\"]\n  8 -> 15 [size =\"8056832\"]\n  8 -> 18 [size =\"8056832\"]\n  8 -> 19 [size =\"8056832\"]\n  9 [size=\"30988288\", alpha=\"0.09\", expect_size=\"15494144\"] \n  9 -> 11 [size =\"15494144\"]\n  9 -> 12 [size =\"15494144\"]\n  9 -> 13 [size =\"15494144\"]\n  9 -> 16 [size =\"15494144\"]\n  9 -> 19 [size =\"15494144\"]\n  10 [size=\"89323520\", alpha=\"0.04\", expect_size=\"44661760\"] \n  10 -> 13 [size =\"44661760\"]\n  10 -> 14 [size =\"44661760\"]\n  10 -> 15 [size =\"44661760\"]\n  10 -> 16 [size =\"44661760\"]\n  10 -> 19 [size =\"44661760\"]\n  11 [size=\"63883264\", alpha=\"0.04\", expect_size=\"31941632\"] \n  11 -> 21 [size =\"31941632\"]\n  11 -> 23 [size =\"31941632\"]\n  11 -> 24 [size =\"31941632\"]\n  11 -> 25 [size =\"31941632\"]\n  11 -> 29 [size =\"31941632\"]\n  12 [size=\"65060864\", alpha=\"0.12\", expect_size=\"32530432\"] \n  12 -> 21 [size =\"32530432\"]\n  12 -> 22 [size =\"32530432\"]\n  12 -> 24 [size =\"32530432\"]\n  12 -> 26 [size =\"32530432\"]\n  12 -> 30 [size =\"32530432\"]\n  13 [size=\"12724224\", alpha=\"0.04\", expect_size=\"6362112\"] \n  13 -> 22 [size =\"6362112\"]\n  13 -> 22 [size =\"6362112\"]\n  13 -> 24 [size =\"6362112\"]\n  13 -> 28 [size =\"6362112\"]\n  13 -> 29 [size =\"6362112\"]\n  13 -> 30 [size =\"6362112\"]\n  14 [size=\"76591104\", alpha=\"0.12\", expect_size=\"38295552\"] \n  14 -> 22 [size =\"38295552\"]\n  14 -> 23 [size =\"38295552\"]\n  14 -> 24 [size =\"38295552\"]\n  14 -> 29 [size =\"38295552\"]\n  14 -> 30 [size =\"38295552\"]\n  15 [size=\"22765568\", alpha=\"0.16\", expect_size=\"11382784\"] \n  15 -> 23 [size =\"11382784\"]\n  15 -> 23 [size =\"11382784\"]\n  15 -> 24 [size =\"11382784\"]\n  15 -> 29 [size =\"11382784\"]\n  16 [size=\"38555648\", alpha=\"0.13\", expect_size=\"19277824\"] \n  16 -> 23 [size =\"19277824\"]\n  16 -> 28 [size =\"19277824\"]\n  16 -> 29 [size =\"19277824\"]\n  17 [size=\"58740736\", alpha=\"0.17\", expect_size=\"29370368\"] \n  17 -> 28 [size =\"29370368\"]\n  17 -> 29 [size =\"29370368\"]\n  18 [size=\"84275200\", alpha=\"0.09\", expect_size=\"42137600\"] \n  18 -> 21 [size =\"42137600\"]\n  18 -> 24 [size =\"42137600\"]\n  18 -> 28 [size =\"42137600\"]\n  18 -> 29 [size =\"42137600\"]\n  19 [size=\"14057472\", alpha=\"0.20\", expect_size=\"7028736\"] \n  19 -> 21 [size =\"7028736\"]\n  19 -> 22 [size =\"7028736\"]\n  19 -> 23 [size =\"7028736\"]\n  19 -> 26 [size =\"7028736\"]\n  19 -> 28 [size =\"7028736\"]\n  19 -> 30 [size =\"7028736\"]\n  20 [size=\"57618432\", alpha=\"0.05\", expect_size=\"28809216\"] \n  20 -> 24 [size =\"28809216\"]\n  20 -> 25 [size =\"28809216\"]\n  20 -> 26 [size =\"28809216\"]\n  20 -> 27 [size =\"28809216\"]\n  20 -> 28 [size =\"28809216\"]\n  20 -> 30 [size =\"28809216\"]\n  21 [size=\"78034944\", alpha=\"0.19\", expect_size=\"39017472\"] \n  22 [size=\"97953792\", alpha=\"0.08\", expect_size=\"48976896\"] \n  23 [size=\"62236672\", alpha=\"0.07\", expect_size=\"31118336\"] \n  24 [size=\"79620096\", alpha=\"0.20\", expect_size=\"39810048\"] \n  25 [size=\"43743232\", alpha=\"0.07\", expect_size=\"21871616\"] \n  26 [size=\"23697408\", alpha=\"0.18\", expect_size=\"11848704\"] \n  27 [size=\"83517440\", alpha=\"0.06\", expect_size=\"41758720\"] \n  28 [size=\"69193728\", alpha=\"0.15\", expect_size=\"34596864\"] \n  29 [size=\"19038208\", alpha=\"0.09\", expect_size=\"9519104\"] \n  30 [size=\"18259968\", alpha=\"0.19\", expect_size=\"9129984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90309973\", alpha=\"0.10\", expect_size=\"27092992\"] \n  1 -> 3 [size =\"27092992\"]\n  1 -> 4 [size =\"27092992\"]\n  2 [size=\"98679467\", alpha=\"0.13\", expect_size=\"29603840\"] \n  2 -> 3 [size =\"29603840\"]\n  2 -> 4 [size =\"29603840\"]\n  3 [size=\"34003627\", alpha=\"0.12\", expect_size=\"10201088\"] \n  4 [size=\"106100053\", alpha=\"0.03\", expect_size=\"31830016\"] \n  4 -> 5 [size =\"31830016\"]\n  5 [size=\"158730240\", alpha=\"0.10\", expect_size=\"47619072\"] \n  5 -> 6 [size =\"47619072\"]\n  6 [size=\"72649387\", alpha=\"0.10\", expect_size=\"21794816\"] \n  6 -> 7 [size =\"21794816\"]\n  7 [size=\"81240747\", alpha=\"0.02\", expect_size=\"24372224\"] \n  7 -> 8 [size =\"24372224\"]\n  8 [size=\"159624533\", alpha=\"0.03\", expect_size=\"47887360\"] \n  8 -> 9 [size =\"47887360\"]\n  9 [size=\"66843307\", alpha=\"0.13\", expect_size=\"20052992\"] \n  9 -> 10 [size =\"20052992\"]\n  9 -> 11 [size =\"20052992\"]\n  10 [size=\"18472960\", alpha=\"0.17\", expect_size=\"5541888\"] \n  10 -> 12 [size =\"5541888\"]\n  11 [size=\"152862720\", alpha=\"0.19\", expect_size=\"45858816\"] \n  11 -> 12 [size =\"45858816\"]\n  12 [size=\"75427840\", alpha=\"0.10\", expect_size=\"22628352\"] \n  12 -> 13 [size =\"22628352\"]\n  12 -> 14 [size =\"22628352\"]\n  13 [size=\"23398400\", alpha=\"0.04\", expect_size=\"7019520\"] \n  14 [size=\"114882560\", alpha=\"0.18\", expect_size=\"34464768\"] \n  14 -> 15 [size =\"34464768\"]\n  14 -> 16 [size =\"34464768\"]\n  15 [size=\"140195840\", alpha=\"0.12\", expect_size=\"42058752\"] \n  16 [size=\"64996693\", alpha=\"0.07\", expect_size=\"19499008\"] \n  16 -> 17 [size =\"19499008\"]\n  17 [size=\"146821120\", alpha=\"0.14\", expect_size=\"44046336\"] \n  17 -> 18 [size =\"44046336\"]\n  18 [size=\"162443947\", alpha=\"0.01\", expect_size=\"48733184\"] \n  18 -> 19 [size =\"48733184\"]\n  19 [size=\"26497707\", alpha=\"0.11\", expect_size=\"7949312\"] \n  19 -> 20 [size =\"7949312\"]\n  20 [size=\"130843307\", alpha=\"0.12\", expect_size=\"39252992\"] \n  20 -> 21 [size =\"39252992\"]\n  21 [size=\"104058880\", alpha=\"0.03\", expect_size=\"31217664\"] \n  21 -> 22 [size =\"31217664\"]\n  21 -> 23 [size =\"31217664\"]\n  22 [size=\"95501653\", alpha=\"0.05\", expect_size=\"28650496\"] \n  22 -> 24 [size =\"28650496\"]\n  22 -> 25 [size =\"28650496\"]\n  23 [size=\"19985067\", alpha=\"0.08\", expect_size=\"5995520\"] \n  23 -> 24 [size =\"5995520\"]\n  23 -> 25 [size =\"5995520\"]\n  24 [size=\"55053653\", alpha=\"0.03\", expect_size=\"16516096\"] \n  24 -> 26 [size =\"16516096\"]\n  24 -> 27 [size =\"16516096\"]\n  25 [size=\"37218987\", alpha=\"0.15\", expect_size=\"11165696\"] \n  26 [size=\"131682987\", alpha=\"0.15\", expect_size=\"39504896\"] \n  26 -> 28 [size =\"39504896\"]\n  27 [size=\"25736533\", alpha=\"0.02\", expect_size=\"7720960\"] \n  27 -> 28 [size =\"7720960\"]\n  28 [size=\"133754880\", alpha=\"0.08\", expect_size=\"40126464\"] \n  28 -> 29 [size =\"40126464\"]\n  28 -> 30 [size =\"40126464\"]\n  29 [size=\"142865067\", alpha=\"0.00\", expect_size=\"42859520\"] \n  30 [size=\"70881280\", alpha=\"0.12\", expect_size=\"21264384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62806016\", alpha=\"0.15\", expect_size=\"31403008\"] \n  1 -> 2 [size =\"31403008\"]\n  2 [size=\"53465088\", alpha=\"0.01\", expect_size=\"26732544\"] \n  2 -> 3 [size =\"26732544\"]\n  2 -> 4 [size =\"26732544\"]\n  3 [size=\"102268928\", alpha=\"0.04\", expect_size=\"51134464\"] \n  4 [size=\"35774464\", alpha=\"0.12\", expect_size=\"17887232\"] \n  4 -> 5 [size =\"17887232\"]\n  4 -> 6 [size =\"17887232\"]\n  5 [size=\"29650944\", alpha=\"0.16\", expect_size=\"14825472\"] \n  6 [size=\"66338816\", alpha=\"0.08\", expect_size=\"33169408\"] \n  6 -> 7 [size =\"33169408\"]\n  7 [size=\"81350656\", alpha=\"0.10\", expect_size=\"40675328\"] \n  7 -> 8 [size =\"40675328\"]\n  8 [size=\"16656384\", alpha=\"0.02\", expect_size=\"8328192\"] \n  8 -> 9 [size =\"8328192\"]\n  9 [size=\"100110336\", alpha=\"0.20\", expect_size=\"50055168\"] \n  9 -> 10 [size =\"50055168\"]\n  9 -> 11 [size =\"50055168\"]\n  10 [size=\"25589760\", alpha=\"0.09\", expect_size=\"12794880\"] \n  10 -> 12 [size =\"12794880\"]\n  11 [size=\"24320000\", alpha=\"0.09\", expect_size=\"12160000\"] \n  12 [size=\"93679616\", alpha=\"0.10\", expect_size=\"46839808\"] \n  12 -> 13 [size =\"46839808\"]\n  13 [size=\"100368384\", alpha=\"0.17\", expect_size=\"50184192\"] \n  13 -> 14 [size =\"50184192\"]\n  14 [size=\"23732224\", alpha=\"0.08\", expect_size=\"11866112\"] \n  14 -> 15 [size =\"11866112\"]\n  15 [size=\"79325184\", alpha=\"0.12\", expect_size=\"39662592\"] \n  15 -> 16 [size =\"39662592\"]\n  15 -> 17 [size =\"39662592\"]\n  16 [size=\"61663232\", alpha=\"0.01\", expect_size=\"30831616\"] \n  17 [size=\"98922496\", alpha=\"0.16\", expect_size=\"49461248\"] \n  17 -> 18 [size =\"49461248\"]\n  17 -> 19 [size =\"49461248\"]\n  18 [size=\"50325504\", alpha=\"0.07\", expect_size=\"25162752\"] \n  18 -> 20 [size =\"25162752\"]\n  19 [size=\"61214720\", alpha=\"0.18\", expect_size=\"30607360\"] \n  19 -> 21 [size =\"30607360\"]\n  20 [size=\"60715008\", alpha=\"0.09\", expect_size=\"30357504\"] \n  20 -> 22 [size =\"30357504\"]\n  21 [size=\"10754048\", alpha=\"0.10\", expect_size=\"5377024\"] \n  22 [size=\"55578624\", alpha=\"0.01\", expect_size=\"27789312\"] \n  22 -> 23 [size =\"27789312\"]\n  22 -> 24 [size =\"27789312\"]\n  23 [size=\"101550080\", alpha=\"0.11\", expect_size=\"50775040\"] \n  24 [size=\"87402496\", alpha=\"0.07\", expect_size=\"43701248\"] \n  24 -> 25 [size =\"43701248\"]\n  25 [size=\"29376512\", alpha=\"0.07\", expect_size=\"14688256\"] \n  25 -> 26 [size =\"14688256\"]\n  25 -> 27 [size =\"14688256\"]\n  26 [size=\"86407168\", alpha=\"0.18\", expect_size=\"43203584\"] \n  27 [size=\"91117568\", alpha=\"0.05\", expect_size=\"45558784\"] \n  27 -> 28 [size =\"45558784\"]\n  28 [size=\"71342080\", alpha=\"0.13\", expect_size=\"35671040\"] \n  28 -> 29 [size =\"35671040\"]\n  28 -> 30 [size =\"35671040\"]\n  29 [size=\"102842368\", alpha=\"0.20\", expect_size=\"51421184\"] \n  30 [size=\"93147136\", alpha=\"0.10\", expect_size=\"46573568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24195072\", alpha=\"0.19\", expect_size=\"12097536\"] \n  1 -> 2 [size =\"12097536\"]\n  1 -> 3 [size =\"12097536\"]\n  2 [size=\"104228864\", alpha=\"0.20\", expect_size=\"52114432\"] \n  2 -> 4 [size =\"52114432\"]\n  2 -> 5 [size =\"52114432\"]\n  3 [size=\"58529792\", alpha=\"0.01\", expect_size=\"29264896\"] \n  3 -> 4 [size =\"29264896\"]\n  3 -> 5 [size =\"29264896\"]\n  4 [size=\"42321920\", alpha=\"0.09\", expect_size=\"21160960\"] \n  4 -> 6 [size =\"21160960\"]\n  5 [size=\"16932864\", alpha=\"0.16\", expect_size=\"8466432\"] \n  5 -> 6 [size =\"8466432\"]\n  6 [size=\"73207808\", alpha=\"0.15\", expect_size=\"36603904\"] \n  6 -> 7 [size =\"36603904\"]\n  6 -> 8 [size =\"36603904\"]\n  7 [size=\"42770432\", alpha=\"0.15\", expect_size=\"21385216\"] \n  7 -> 9 [size =\"21385216\"]\n  8 [size=\"100898816\", alpha=\"0.07\", expect_size=\"50449408\"] \n  8 -> 9 [size =\"50449408\"]\n  9 [size=\"29390848\", alpha=\"0.16\", expect_size=\"14695424\"] \n  9 -> 10 [size =\"14695424\"]\n  9 -> 11 [size =\"14695424\"]\n  10 [size=\"53264384\", alpha=\"0.04\", expect_size=\"26632192\"] \n  10 -> 12 [size =\"26632192\"]\n  10 -> 13 [size =\"26632192\"]\n  11 [size=\"35573760\", alpha=\"0.07\", expect_size=\"17786880\"] \n  11 -> 12 [size =\"17786880\"]\n  11 -> 13 [size =\"17786880\"]\n  12 [size=\"28606464\", alpha=\"0.06\", expect_size=\"14303232\"] \n  13 [size=\"27744256\", alpha=\"0.14\", expect_size=\"13872128\"] \n  13 -> 14 [size =\"13872128\"]\n  13 -> 15 [size =\"13872128\"]\n  14 [size=\"34627584\", alpha=\"0.15\", expect_size=\"17313792\"] \n  14 -> 16 [size =\"17313792\"]\n  14 -> 17 [size =\"17313792\"]\n  15 [size=\"78761984\", alpha=\"0.06\", expect_size=\"39380992\"] \n  15 -> 16 [size =\"39380992\"]\n  15 -> 17 [size =\"39380992\"]\n  16 [size=\"59811840\", alpha=\"0.05\", expect_size=\"29905920\"] \n  16 -> 18 [size =\"29905920\"]\n  16 -> 19 [size =\"29905920\"]\n  17 [size=\"36818944\", alpha=\"0.19\", expect_size=\"18409472\"] \n  17 -> 19 [size =\"18409472\"]\n  18 [size=\"11456512\", alpha=\"0.16\", expect_size=\"5728256\"] \n  19 [size=\"44433408\", alpha=\"0.10\", expect_size=\"22216704\"] \n  19 -> 20 [size =\"22216704\"]\n  20 [size=\"25948160\", alpha=\"0.10\", expect_size=\"12974080\"] \n  20 -> 21 [size =\"12974080\"]\n  20 -> 22 [size =\"12974080\"]\n  21 [size=\"42741760\", alpha=\"0.12\", expect_size=\"21370880\"] \n  22 [size=\"76978176\", alpha=\"0.14\", expect_size=\"38489088\"] \n  22 -> 23 [size =\"38489088\"]\n  23 [size=\"11245568\", alpha=\"0.07\", expect_size=\"5622784\"] \n  23 -> 24 [size =\"5622784\"]\n  23 -> 25 [size =\"5622784\"]\n  24 [size=\"77101056\", alpha=\"0.06\", expect_size=\"38550528\"] \n  24 -> 26 [size =\"38550528\"]\n  25 [size=\"51998720\", alpha=\"0.07\", expect_size=\"25999360\"] \n  25 -> 26 [size =\"25999360\"]\n  26 [size=\"81891328\", alpha=\"0.00\", expect_size=\"40945664\"] \n  26 -> 27 [size =\"40945664\"]\n  27 [size=\"104251392\", alpha=\"0.01\", expect_size=\"52125696\"] \n  27 -> 28 [size =\"52125696\"]\n  28 [size=\"98138112\", alpha=\"0.01\", expect_size=\"49069056\"] \n  28 -> 29 [size =\"49069056\"]\n  29 [size=\"77477888\", alpha=\"0.05\", expect_size=\"38738944\"] \n  29 -> 30 [size =\"38738944\"]\n  30 [size=\"30763008\", alpha=\"0.18\", expect_size=\"15381504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68915200\", alpha=\"0.15\", expect_size=\"34457600\"] \n  1 -> 4 [size =\"34457600\"]\n  2 [size=\"87037952\", alpha=\"0.07\", expect_size=\"43518976\"] \n  2 -> 3 [size =\"43518976\"]\n  2 -> 4 [size =\"43518976\"]\n  3 [size=\"50546688\", alpha=\"0.15\", expect_size=\"25273344\"] \n  3 -> 5 [size =\"25273344\"]\n  4 [size=\"31981568\", alpha=\"0.05\", expect_size=\"15990784\"] \n  4 -> 5 [size =\"15990784\"]\n  4 -> 6 [size =\"15990784\"]\n  5 [size=\"89081856\", alpha=\"0.17\", expect_size=\"44540928\"] \n  5 -> 8 [size =\"44540928\"]\n  6 [size=\"85684224\", alpha=\"0.13\", expect_size=\"42842112\"] \n  6 -> 7 [size =\"42842112\"]\n  7 [size=\"54525952\", alpha=\"0.00\", expect_size=\"27262976\"] \n  7 -> 9 [size =\"27262976\"]\n  8 [size=\"19890176\", alpha=\"0.20\", expect_size=\"9945088\"] \n  9 [size=\"11143168\", alpha=\"0.07\", expect_size=\"5571584\"] \n  9 -> 10 [size =\"5571584\"]\n  9 -> 11 [size =\"5571584\"]\n  10 [size=\"44908544\", alpha=\"0.12\", expect_size=\"22454272\"] \n  11 [size=\"20467712\", alpha=\"0.17\", expect_size=\"10233856\"] \n  11 -> 12 [size =\"10233856\"]\n  11 -> 13 [size =\"10233856\"]\n  12 [size=\"93171712\", alpha=\"0.12\", expect_size=\"46585856\"] \n  12 -> 14 [size =\"46585856\"]\n  12 -> 15 [size =\"46585856\"]\n  13 [size=\"33964032\", alpha=\"0.10\", expect_size=\"16982016\"] \n  13 -> 14 [size =\"16982016\"]\n  14 [size=\"10651648\", alpha=\"0.18\", expect_size=\"5325824\"] \n  15 [size=\"32335872\", alpha=\"0.18\", expect_size=\"16167936\"] \n  15 -> 16 [size =\"16167936\"]\n  16 [size=\"20482048\", alpha=\"0.07\", expect_size=\"10241024\"] \n  16 -> 17 [size =\"10241024\"]\n  16 -> 18 [size =\"10241024\"]\n  17 [size=\"81352704\", alpha=\"0.11\", expect_size=\"40676352\"] \n  17 -> 19 [size =\"40676352\"]\n  18 [size=\"83636224\", alpha=\"0.18\", expect_size=\"41818112\"] \n  18 -> 19 [size =\"41818112\"]\n  19 [size=\"82114560\", alpha=\"0.01\", expect_size=\"41057280\"] \n  19 -> 20 [size =\"41057280\"]\n  19 -> 21 [size =\"41057280\"]\n  20 [size=\"19032064\", alpha=\"0.06\", expect_size=\"9516032\"] \n  20 -> 22 [size =\"9516032\"]\n  20 -> 23 [size =\"9516032\"]\n  21 [size=\"75198464\", alpha=\"0.04\", expect_size=\"37599232\"] \n  21 -> 22 [size =\"37599232\"]\n  21 -> 23 [size =\"37599232\"]\n  22 [size=\"62582784\", alpha=\"0.18\", expect_size=\"31291392\"] \n  22 -> 24 [size =\"31291392\"]\n  22 -> 25 [size =\"31291392\"]\n  23 [size=\"22927360\", alpha=\"0.20\", expect_size=\"11463680\"] \n  23 -> 25 [size =\"11463680\"]\n  24 [size=\"68446208\", alpha=\"0.07\", expect_size=\"34223104\"] \n  24 -> 26 [size =\"34223104\"]\n  25 [size=\"60579840\", alpha=\"0.11\", expect_size=\"30289920\"] \n  26 [size=\"51367936\", alpha=\"0.10\", expect_size=\"25683968\"] \n  26 -> 27 [size =\"25683968\"]\n  27 [size=\"84000768\", alpha=\"0.19\", expect_size=\"42000384\"] \n  27 -> 28 [size =\"42000384\"]\n  28 [size=\"41402368\", alpha=\"0.10\", expect_size=\"20701184\"] \n  28 -> 29 [size =\"20701184\"]\n  29 [size=\"29759488\", alpha=\"0.01\", expect_size=\"14879744\"] \n  29 -> 30 [size =\"14879744\"]\n  30 [size=\"33411072\", alpha=\"0.19\", expect_size=\"16705536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59205632\", alpha=\"0.09\", expect_size=\"29602816\"] \n  1 -> 14 [size =\"29602816\"]\n  1 -> 15 [size =\"29602816\"]\n  1 -> 16 [size =\"29602816\"]\n  2 [size=\"54990848\", alpha=\"0.13\", expect_size=\"27495424\"] \n  2 -> 15 [size =\"27495424\"]\n  3 [size=\"79175680\", alpha=\"0.07\", expect_size=\"39587840\"] \n  3 -> 13 [size =\"39587840\"]\n  4 [size=\"82776064\", alpha=\"0.00\", expect_size=\"41388032\"] \n  5 [size=\"90095616\", alpha=\"0.19\", expect_size=\"45047808\"] \n  5 -> 15 [size =\"45047808\"]\n  5 -> 16 [size =\"45047808\"]\n  5 -> 17 [size =\"45047808\"]\n  5 -> 18 [size =\"45047808\"]\n  6 [size=\"18173952\", alpha=\"0.19\", expect_size=\"9086976\"] \n  6 -> 13 [size =\"9086976\"]\n  6 -> 15 [size =\"9086976\"]\n  6 -> 16 [size =\"9086976\"]\n  7 [size=\"70942720\", alpha=\"0.00\", expect_size=\"35471360\"] \n  7 -> 13 [size =\"35471360\"]\n  7 -> 14 [size =\"35471360\"]\n  8 [size=\"73666560\", alpha=\"0.01\", expect_size=\"36833280\"] \n  8 -> 13 [size =\"36833280\"]\n  9 [size=\"96710656\", alpha=\"0.12\", expect_size=\"48355328\"] \n  9 -> 16 [size =\"48355328\"]\n  10 [size=\"31545344\", alpha=\"0.13\", expect_size=\"15772672\"] \n  10 -> 14 [size =\"15772672\"]\n  10 -> 15 [size =\"15772672\"]\n  11 [size=\"16515072\", alpha=\"0.06\", expect_size=\"8257536\"] \n  11 -> 12 [size =\"8257536\"]\n  11 -> 17 [size =\"8257536\"]\n  12 [size=\"60917760\", alpha=\"0.00\", expect_size=\"30458880\"] \n  12 -> 19 [size =\"30458880\"]\n  12 -> 20 [size =\"30458880\"]\n  12 -> 26 [size =\"30458880\"]\n  13 [size=\"29585408\", alpha=\"0.09\", expect_size=\"14792704\"] \n  13 -> 19 [size =\"14792704\"]\n  13 -> 25 [size =\"14792704\"]\n  13 -> 27 [size =\"14792704\"]\n  13 -> 30 [size =\"14792704\"]\n  14 [size=\"60368896\", alpha=\"0.03\", expect_size=\"30184448\"] \n  14 -> 22 [size =\"30184448\"]\n  14 -> 25 [size =\"30184448\"]\n  14 -> 27 [size =\"30184448\"]\n  14 -> 28 [size =\"30184448\"]\n  14 -> 29 [size =\"30184448\"]\n  15 [size=\"61059072\", alpha=\"0.08\", expect_size=\"30529536\"] \n  15 -> 20 [size =\"30529536\"]\n  15 -> 21 [size =\"30529536\"]\n  15 -> 23 [size =\"30529536\"]\n  15 -> 25 [size =\"30529536\"]\n  15 -> 26 [size =\"30529536\"]\n  15 -> 29 [size =\"30529536\"]\n  15 -> 30 [size =\"30529536\"]\n  16 [size=\"56686592\", alpha=\"0.18\", expect_size=\"28343296\"] \n  16 -> 19 [size =\"28343296\"]\n  16 -> 20 [size =\"28343296\"]\n  16 -> 29 [size =\"28343296\"]\n  17 [size=\"52297728\", alpha=\"0.06\", expect_size=\"26148864\"] \n  17 -> 20 [size =\"26148864\"]\n  17 -> 27 [size =\"26148864\"]\n  17 -> 28 [size =\"26148864\"]\n  17 -> 30 [size =\"26148864\"]\n  18 [size=\"53180416\", alpha=\"0.18\", expect_size=\"26590208\"] \n  18 -> 22 [size =\"26590208\"]\n  18 -> 23 [size =\"26590208\"]\n  18 -> 24 [size =\"26590208\"]\n  18 -> 26 [size =\"26590208\"]\n  18 -> 27 [size =\"26590208\"]\n  18 -> 28 [size =\"26590208\"]\n  18 -> 30 [size =\"26590208\"]\n  19 [size=\"59717632\", alpha=\"0.16\", expect_size=\"29858816\"] \n  20 [size=\"20695040\", alpha=\"0.08\", expect_size=\"10347520\"] \n  21 [size=\"83945472\", alpha=\"0.11\", expect_size=\"41972736\"] \n  22 [size=\"16850944\", alpha=\"0.02\", expect_size=\"8425472\"] \n  23 [size=\"18538496\", alpha=\"0.09\", expect_size=\"9269248\"] \n  24 [size=\"62248960\", alpha=\"0.10\", expect_size=\"31124480\"] \n  25 [size=\"78710784\", alpha=\"0.09\", expect_size=\"39355392\"] \n  26 [size=\"20328448\", alpha=\"0.09\", expect_size=\"10164224\"] \n  27 [size=\"103528448\", alpha=\"0.02\", expect_size=\"51764224\"] \n  28 [size=\"35739648\", alpha=\"0.08\", expect_size=\"17869824\"] \n  29 [size=\"28315648\", alpha=\"0.13\", expect_size=\"14157824\"] \n  30 [size=\"104835072\", alpha=\"0.02\", expect_size=\"52417536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59934720\", alpha=\"0.20\", expect_size=\"23973888\"] \n  1 -> 8 [size =\"23973888\"]\n  2 [size=\"108451840\", alpha=\"0.16\", expect_size=\"43380736\"] \n  2 -> 6 [size =\"43380736\"]\n  2 -> 8 [size =\"43380736\"]\n  3 [size=\"97671680\", alpha=\"0.07\", expect_size=\"39068672\"] \n  3 -> 7 [size =\"39068672\"]\n  4 [size=\"105735680\", alpha=\"0.06\", expect_size=\"42294272\"] \n  4 -> 5 [size =\"42294272\"]\n  5 [size=\"29291520\", alpha=\"0.09\", expect_size=\"11716608\"] \n  5 -> 9 [size =\"11716608\"]\n  5 -> 10 [size =\"11716608\"]\n  5 -> 14 [size =\"11716608\"]\n  6 [size=\"59174400\", alpha=\"0.09\", expect_size=\"23669760\"] \n  6 -> 11 [size =\"23669760\"]\n  6 -> 12 [size =\"23669760\"]\n  6 -> 13 [size =\"23669760\"]\n  7 [size=\"112883200\", alpha=\"0.17\", expect_size=\"45153280\"] \n  7 -> 9 [size =\"45153280\"]\n  7 -> 10 [size =\"45153280\"]\n  7 -> 13 [size =\"45153280\"]\n  7 -> 14 [size =\"45153280\"]\n  8 [size=\"32079360\", alpha=\"0.12\", expect_size=\"12831744\"] \n  9 [size=\"69990400\", alpha=\"0.19\", expect_size=\"27996160\"] \n  10 [size=\"40995840\", alpha=\"0.16\", expect_size=\"16398336\"] \n  10 -> 16 [size =\"16398336\"]\n  10 -> 18 [size =\"16398336\"]\n  11 [size=\"125649920\", alpha=\"0.03\", expect_size=\"50259968\"] \n  11 -> 16 [size =\"50259968\"]\n  11 -> 17 [size =\"50259968\"]\n  11 -> 19 [size =\"50259968\"]\n  12 [size=\"125271040\", alpha=\"0.16\", expect_size=\"50108416\"] \n  12 -> 15 [size =\"50108416\"]\n  12 -> 16 [size =\"50108416\"]\n  12 -> 18 [size =\"50108416\"]\n  12 -> 19 [size =\"50108416\"]\n  13 [size=\"100695040\", alpha=\"0.05\", expect_size=\"40278016\"] \n  13 -> 18 [size =\"40278016\"]\n  14 [size=\"22960640\", alpha=\"0.15\", expect_size=\"9184256\"] \n  14 -> 17 [size =\"9184256\"]\n  15 [size=\"58895360\", alpha=\"0.14\", expect_size=\"23558144\"] \n  15 -> 20 [size =\"23558144\"]\n  15 -> 22 [size =\"23558144\"]\n  15 -> 25 [size =\"23558144\"]\n  16 [size=\"109767680\", alpha=\"0.19\", expect_size=\"43907072\"] \n  16 -> 20 [size =\"43907072\"]\n  16 -> 23 [size =\"43907072\"]\n  16 -> 24 [size =\"43907072\"]\n  16 -> 25 [size =\"43907072\"]\n  17 [size=\"47774720\", alpha=\"0.17\", expect_size=\"19109888\"] \n  17 -> 20 [size =\"19109888\"]\n  17 -> 24 [size =\"19109888\"]\n  18 [size=\"29491200\", alpha=\"0.16\", expect_size=\"11796480\"] \n  18 -> 21 [size =\"11796480\"]\n  18 -> 22 [size =\"11796480\"]\n  19 [size=\"99066880\", alpha=\"0.01\", expect_size=\"39626752\"] \n  19 -> 22 [size =\"39626752\"]\n  20 [size=\"95920640\", alpha=\"0.18\", expect_size=\"38368256\"] \n  20 -> 26 [size =\"38368256\"]\n  20 -> 27 [size =\"38368256\"]\n  20 -> 28 [size =\"38368256\"]\n  20 -> 29 [size =\"38368256\"]\n  21 [size=\"73029120\", alpha=\"0.04\", expect_size=\"29211648\"] \n  21 -> 29 [size =\"29211648\"]\n  22 [size=\"92336640\", alpha=\"0.05\", expect_size=\"36934656\"] \n  22 -> 26 [size =\"36934656\"]\n  23 [size=\"70799360\", alpha=\"0.01\", expect_size=\"28319744\"] \n  23 -> 30 [size =\"28319744\"]\n  24 [size=\"102231040\", alpha=\"0.13\", expect_size=\"40892416\"] \n  24 -> 26 [size =\"40892416\"]\n  24 -> 30 [size =\"40892416\"]\n  25 [size=\"72153600\", alpha=\"0.07\", expect_size=\"28861440\"] \n  25 -> 28 [size =\"28861440\"]\n  25 -> 30 [size =\"28861440\"]\n  26 [size=\"37168640\", alpha=\"0.09\", expect_size=\"14867456\"] \n  27 [size=\"29903360\", alpha=\"0.08\", expect_size=\"11961344\"] \n  28 [size=\"129303040\", alpha=\"0.10\", expect_size=\"51721216\"] \n  29 [size=\"103342080\", alpha=\"0.02\", expect_size=\"41336832\"] \n  30 [size=\"108403200\", alpha=\"0.19\", expect_size=\"43361280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12814336\", alpha=\"0.02\", expect_size=\"6407168\"] \n  1 -> 2 [size =\"6407168\"]\n  1 -> 3 [size =\"6407168\"]\n  2 [size=\"10498048\", alpha=\"0.04\", expect_size=\"5249024\"] \n  3 [size=\"39389184\", alpha=\"0.05\", expect_size=\"19694592\"] \n  3 -> 4 [size =\"19694592\"]\n  4 [size=\"15501312\", alpha=\"0.04\", expect_size=\"7750656\"] \n  4 -> 5 [size =\"7750656\"]\n  5 [size=\"78014464\", alpha=\"0.19\", expect_size=\"39007232\"] \n  5 -> 6 [size =\"39007232\"]\n  5 -> 7 [size =\"39007232\"]\n  6 [size=\"17561600\", alpha=\"0.13\", expect_size=\"8780800\"] \n  6 -> 8 [size =\"8780800\"]\n  6 -> 9 [size =\"8780800\"]\n  7 [size=\"79765504\", alpha=\"0.12\", expect_size=\"39882752\"] \n  8 [size=\"42733568\", alpha=\"0.05\", expect_size=\"21366784\"] \n  9 [size=\"53612544\", alpha=\"0.16\", expect_size=\"26806272\"] \n  9 -> 10 [size =\"26806272\"]\n  10 [size=\"37005312\", alpha=\"0.13\", expect_size=\"18502656\"] \n  10 -> 11 [size =\"18502656\"]\n  10 -> 12 [size =\"18502656\"]\n  11 [size=\"21239808\", alpha=\"0.09\", expect_size=\"10619904\"] \n  11 -> 14 [size =\"10619904\"]\n  12 [size=\"28389376\", alpha=\"0.11\", expect_size=\"14194688\"] \n  12 -> 13 [size =\"14194688\"]\n  13 [size=\"48824320\", alpha=\"0.19\", expect_size=\"24412160\"] \n  13 -> 15 [size =\"24412160\"]\n  14 [size=\"73779200\", alpha=\"0.01\", expect_size=\"36889600\"] \n  15 [size=\"94304256\", alpha=\"0.05\", expect_size=\"47152128\"] \n  15 -> 16 [size =\"47152128\"]\n  15 -> 17 [size =\"47152128\"]\n  16 [size=\"87447552\", alpha=\"0.13\", expect_size=\"43723776\"] \n  16 -> 18 [size =\"43723776\"]\n  17 [size=\"52371456\", alpha=\"0.04\", expect_size=\"26185728\"] \n  17 -> 18 [size =\"26185728\"]\n  18 [size=\"12404736\", alpha=\"0.04\", expect_size=\"6202368\"] \n  18 -> 19 [size =\"6202368\"]\n  18 -> 20 [size =\"6202368\"]\n  19 [size=\"35977216\", alpha=\"0.15\", expect_size=\"17988608\"] \n  19 -> 22 [size =\"17988608\"]\n  20 [size=\"17397760\", alpha=\"0.20\", expect_size=\"8698880\"] \n  20 -> 21 [size =\"8698880\"]\n  21 [size=\"78360576\", alpha=\"0.05\", expect_size=\"39180288\"] \n  21 -> 24 [size =\"39180288\"]\n  22 [size=\"24516608\", alpha=\"0.10\", expect_size=\"12258304\"] \n  22 -> 23 [size =\"12258304\"]\n  23 [size=\"78479360\", alpha=\"0.02\", expect_size=\"39239680\"] \n  23 -> 25 [size =\"39239680\"]\n  23 -> 26 [size =\"39239680\"]\n  24 [size=\"72525824\", alpha=\"0.14\", expect_size=\"36262912\"] \n  24 -> 26 [size =\"36262912\"]\n  25 [size=\"78383104\", alpha=\"0.01\", expect_size=\"39191552\"] \n  25 -> 27 [size =\"39191552\"]\n  26 [size=\"100102144\", alpha=\"0.09\", expect_size=\"50051072\"] \n  26 -> 27 [size =\"50051072\"]\n  26 -> 28 [size =\"50051072\"]\n  27 [size=\"66854912\", alpha=\"0.12\", expect_size=\"33427456\"] \n  27 -> 30 [size =\"33427456\"]\n  28 [size=\"84307968\", alpha=\"0.02\", expect_size=\"42153984\"] \n  28 -> 29 [size =\"42153984\"]\n  29 [size=\"103235584\", alpha=\"0.01\", expect_size=\"51617792\"] \n  30 [size=\"78366720\", alpha=\"0.06\", expect_size=\"39183360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39147520\", alpha=\"0.14\", expect_size=\"15659008\"] \n  1 -> 5 [size =\"15659008\"]\n  1 -> 6 [size =\"15659008\"]\n  2 [size=\"124190720\", alpha=\"0.03\", expect_size=\"49676288\"] \n  2 -> 6 [size =\"49676288\"]\n  2 -> 7 [size =\"49676288\"]\n  2 -> 8 [size =\"49676288\"]\n  3 [size=\"108700160\", alpha=\"0.14\", expect_size=\"43480064\"] \n  3 -> 4 [size =\"43480064\"]\n  3 -> 5 [size =\"43480064\"]\n  3 -> 8 [size =\"43480064\"]\n  4 [size=\"115164160\", alpha=\"0.02\", expect_size=\"46065664\"] \n  4 -> 9 [size =\"46065664\"]\n  4 -> 11 [size =\"46065664\"]\n  4 -> 12 [size =\"46065664\"]\n  5 [size=\"39626240\", alpha=\"0.01\", expect_size=\"15850496\"] \n  5 -> 11 [size =\"15850496\"]\n  6 [size=\"126801920\", alpha=\"0.16\", expect_size=\"50720768\"] \n  6 -> 9 [size =\"50720768\"]\n  6 -> 10 [size =\"50720768\"]\n  6 -> 11 [size =\"50720768\"]\n  7 [size=\"35489280\", alpha=\"0.06\", expect_size=\"14195712\"] \n  7 -> 11 [size =\"14195712\"]\n  7 -> 12 [size =\"14195712\"]\n  8 [size=\"113584640\", alpha=\"0.11\", expect_size=\"45433856\"] \n  8 -> 9 [size =\"45433856\"]\n  9 [size=\"58949120\", alpha=\"0.19\", expect_size=\"23579648\"] \n  9 -> 13 [size =\"23579648\"]\n  9 -> 14 [size =\"23579648\"]\n  9 -> 15 [size =\"23579648\"]\n  10 [size=\"126179840\", alpha=\"0.06\", expect_size=\"50471936\"] \n  10 -> 13 [size =\"50471936\"]\n  11 [size=\"71818240\", alpha=\"0.09\", expect_size=\"28727296\"] \n  11 -> 15 [size =\"28727296\"]\n  11 -> 16 [size =\"28727296\"]\n  12 [size=\"35622400\", alpha=\"0.05\", expect_size=\"14248960\"] \n  12 -> 15 [size =\"14248960\"]\n  13 [size=\"54243840\", alpha=\"0.18\", expect_size=\"21697536\"] \n  13 -> 18 [size =\"21697536\"]\n  13 -> 19 [size =\"21697536\"]\n  14 [size=\"19686400\", alpha=\"0.16\", expect_size=\"7874560\"] \n  14 -> 17 [size =\"7874560\"]\n  14 -> 19 [size =\"7874560\"]\n  14 -> 20 [size =\"7874560\"]\n  14 -> 21 [size =\"7874560\"]\n  15 [size=\"32448000\", alpha=\"0.18\", expect_size=\"12979200\"] \n  15 -> 17 [size =\"12979200\"]\n  15 -> 18 [size =\"12979200\"]\n  15 -> 19 [size =\"12979200\"]\n  16 [size=\"38238720\", alpha=\"0.04\", expect_size=\"15295488\"] \n  16 -> 18 [size =\"15295488\"]\n  16 -> 20 [size =\"15295488\"]\n  17 [size=\"17571840\", alpha=\"0.13\", expect_size=\"7028736\"] \n  17 -> 23 [size =\"7028736\"]\n  17 -> 24 [size =\"7028736\"]\n  18 [size=\"54307840\", alpha=\"0.02\", expect_size=\"21723136\"] \n  18 -> 22 [size =\"21723136\"]\n  18 -> 23 [size =\"21723136\"]\n  18 -> 24 [size =\"21723136\"]\n  19 [size=\"121681920\", alpha=\"0.00\", expect_size=\"48672768\"] \n  19 -> 23 [size =\"48672768\"]\n  20 [size=\"117076480\", alpha=\"0.01\", expect_size=\"46830592\"] \n  21 [size=\"34849280\", alpha=\"0.06\", expect_size=\"13939712\"] \n  22 [size=\"88061440\", alpha=\"0.09\", expect_size=\"35224576\"] \n  22 -> 25 [size =\"35224576\"]\n  22 -> 26 [size =\"35224576\"]\n  23 [size=\"120463360\", alpha=\"0.09\", expect_size=\"48185344\"] \n  23 -> 25 [size =\"48185344\"]\n  23 -> 26 [size =\"48185344\"]\n  24 [size=\"108710400\", alpha=\"0.06\", expect_size=\"43484160\"] \n  24 -> 27 [size =\"43484160\"]\n  24 -> 28 [size =\"43484160\"]\n  25 [size=\"86650880\", alpha=\"0.08\", expect_size=\"34660352\"] \n  25 -> 29 [size =\"34660352\"]\n  26 [size=\"77665280\", alpha=\"0.09\", expect_size=\"31066112\"] \n  26 -> 29 [size =\"31066112\"]\n  26 -> 30 [size =\"31066112\"]\n  27 [size=\"100346880\", alpha=\"0.14\", expect_size=\"40138752\"] \n  27 -> 30 [size =\"40138752\"]\n  28 [size=\"57932800\", alpha=\"0.15\", expect_size=\"23173120\"] \n  28 -> 29 [size =\"23173120\"]\n  29 [size=\"68938240\", alpha=\"0.05\", expect_size=\"27575296\"] \n  30 [size=\"70389760\", alpha=\"0.14\", expect_size=\"28155904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23154688\", alpha=\"0.16\", expect_size=\"11577344\"] \n  2 [size=\"31066112\", alpha=\"0.03\", expect_size=\"15533056\"] \n  2 -> 9 [size =\"15533056\"]\n  3 [size=\"35825664\", alpha=\"0.01\", expect_size=\"17912832\"] \n  3 -> 6 [size =\"17912832\"]\n  3 -> 7 [size =\"17912832\"]\n  3 -> 9 [size =\"17912832\"]\n  4 [size=\"17913856\", alpha=\"0.06\", expect_size=\"8956928\"] \n  4 -> 5 [size =\"8956928\"]\n  4 -> 6 [size =\"8956928\"]\n  4 -> 8 [size =\"8956928\"]\n  5 [size=\"99377152\", alpha=\"0.05\", expect_size=\"49688576\"] \n  5 -> 12 [size =\"49688576\"]\n  5 -> 13 [size =\"49688576\"]\n  6 [size=\"54525952\", alpha=\"0.15\", expect_size=\"27262976\"] \n  6 -> 10 [size =\"27262976\"]\n  6 -> 13 [size =\"27262976\"]\n  7 [size=\"85764096\", alpha=\"0.17\", expect_size=\"42882048\"] \n  8 [size=\"11749376\", alpha=\"0.04\", expect_size=\"5874688\"] \n  8 -> 10 [size =\"5874688\"]\n  8 -> 11 [size =\"5874688\"]\n  8 -> 14 [size =\"5874688\"]\n  9 [size=\"57016320\", alpha=\"0.16\", expect_size=\"28508160\"] \n  9 -> 13 [size =\"28508160\"]\n  9 -> 14 [size =\"28508160\"]\n  10 [size=\"60205056\", alpha=\"0.07\", expect_size=\"30102528\"] \n  10 -> 15 [size =\"30102528\"]\n  10 -> 16 [size =\"30102528\"]\n  10 -> 18 [size =\"30102528\"]\n  11 [size=\"66672640\", alpha=\"0.03\", expect_size=\"33336320\"] \n  11 -> 15 [size =\"33336320\"]\n  12 [size=\"49956864\", alpha=\"0.19\", expect_size=\"24978432\"] \n  12 -> 17 [size =\"24978432\"]\n  12 -> 18 [size =\"24978432\"]\n  13 [size=\"62480384\", alpha=\"0.05\", expect_size=\"31240192\"] \n  14 [size=\"67457024\", alpha=\"0.03\", expect_size=\"33728512\"] \n  14 -> 15 [size =\"33728512\"]\n  14 -> 18 [size =\"33728512\"]\n  15 [size=\"96569344\", alpha=\"0.00\", expect_size=\"48284672\"] \n  15 -> 21 [size =\"48284672\"]\n  15 -> 22 [size =\"48284672\"]\n  15 -> 23 [size =\"48284672\"]\n  16 [size=\"23961600\", alpha=\"0.05\", expect_size=\"11980800\"] \n  16 -> 20 [size =\"11980800\"]\n  17 [size=\"93921280\", alpha=\"0.07\", expect_size=\"46960640\"] \n  17 -> 19 [size =\"46960640\"]\n  17 -> 23 [size =\"46960640\"]\n  18 [size=\"80291840\", alpha=\"0.07\", expect_size=\"40145920\"] \n  18 -> 21 [size =\"40145920\"]\n  18 -> 22 [size =\"40145920\"]\n  19 [size=\"99594240\", alpha=\"0.05\", expect_size=\"49797120\"] \n  19 -> 28 [size =\"49797120\"]\n  20 [size=\"78817280\", alpha=\"0.01\", expect_size=\"39408640\"] \n  20 -> 25 [size =\"39408640\"]\n  21 [size=\"15458304\", alpha=\"0.20\", expect_size=\"7729152\"] \n  21 -> 24 [size =\"7729152\"]\n  21 -> 26 [size =\"7729152\"]\n  21 -> 27 [size =\"7729152\"]\n  22 [size=\"31111168\", alpha=\"0.03\", expect_size=\"15555584\"] \n  23 [size=\"25255936\", alpha=\"0.11\", expect_size=\"12627968\"] \n  23 -> 26 [size =\"12627968\"]\n  23 -> 28 [size =\"12627968\"]\n  24 [size=\"47849472\", alpha=\"0.02\", expect_size=\"23924736\"] \n  24 -> 29 [size =\"23924736\"]\n  24 -> 30 [size =\"23924736\"]\n  25 [size=\"61302784\", alpha=\"0.10\", expect_size=\"30651392\"] \n  25 -> 29 [size =\"30651392\"]\n  26 [size=\"63506432\", alpha=\"0.09\", expect_size=\"31753216\"] \n  26 -> 29 [size =\"31753216\"]\n  27 [size=\"86423552\", alpha=\"0.03\", expect_size=\"43211776\"] \n  28 [size=\"26793984\", alpha=\"0.18\", expect_size=\"13396992\"] \n  29 [size=\"61394944\", alpha=\"0.02\", expect_size=\"30697472\"] \n  30 [size=\"83263488\", alpha=\"0.17\", expect_size=\"41631744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165485227\", alpha=\"0.16\", expect_size=\"49645568\"] \n  1 -> 2 [size =\"49645568\"]\n  2 [size=\"115261440\", alpha=\"0.03\", expect_size=\"34578432\"] \n  2 -> 3 [size =\"34578432\"]\n  3 [size=\"35112960\", alpha=\"0.17\", expect_size=\"10533888\"] \n  3 -> 4 [size =\"10533888\"]\n  4 [size=\"26951680\", alpha=\"0.02\", expect_size=\"8085504\"] \n  4 -> 5 [size =\"8085504\"]\n  5 [size=\"120630613\", alpha=\"0.09\", expect_size=\"36189184\"] \n  5 -> 6 [size =\"36189184\"]\n  6 [size=\"165338453\", alpha=\"0.18\", expect_size=\"49601536\"] \n  6 -> 7 [size =\"49601536\"]\n  7 [size=\"75847680\", alpha=\"0.03\", expect_size=\"22754304\"] \n  7 -> 8 [size =\"22754304\"]\n  8 [size=\"158378667\", alpha=\"0.11\", expect_size=\"47513600\"] \n  8 -> 9 [size =\"47513600\"]\n  9 [size=\"152200533\", alpha=\"0.06\", expect_size=\"45660160\"] \n  9 -> 10 [size =\"45660160\"]\n  10 [size=\"159061333\", alpha=\"0.00\", expect_size=\"47718400\"] \n  10 -> 11 [size =\"47718400\"]\n  11 [size=\"21408427\", alpha=\"0.18\", expect_size=\"6422528\"] \n  11 -> 12 [size =\"6422528\"]\n  12 [size=\"149988693\", alpha=\"0.10\", expect_size=\"44996608\"] \n  12 -> 13 [size =\"44996608\"]\n  13 [size=\"170093227\", alpha=\"0.07\", expect_size=\"51027968\"] \n  13 -> 14 [size =\"51027968\"]\n  14 [size=\"146865493\", alpha=\"0.14\", expect_size=\"44059648\"] \n  14 -> 15 [size =\"44059648\"]\n  15 [size=\"160986453\", alpha=\"0.00\", expect_size=\"48295936\"] \n  15 -> 16 [size =\"48295936\"]\n  16 [size=\"76462080\", alpha=\"0.16\", expect_size=\"22938624\"] \n  16 -> 17 [size =\"22938624\"]\n  17 [size=\"61637973\", alpha=\"0.15\", expect_size=\"18491392\"] \n  17 -> 18 [size =\"18491392\"]\n  18 [size=\"88872960\", alpha=\"0.02\", expect_size=\"26661888\"] \n  18 -> 19 [size =\"26661888\"]\n  19 [size=\"17776640\", alpha=\"0.12\", expect_size=\"5332992\"] \n  19 -> 20 [size =\"5332992\"]\n  20 [size=\"66174293\", alpha=\"0.08\", expect_size=\"19852288\"] \n  20 -> 21 [size =\"19852288\"]\n  21 [size=\"67857067\", alpha=\"0.02\", expect_size=\"20357120\"] \n  21 -> 22 [size =\"20357120\"]\n  22 [size=\"53920427\", alpha=\"0.08\", expect_size=\"16176128\"] \n  22 -> 23 [size =\"16176128\"]\n  23 [size=\"130611200\", alpha=\"0.17\", expect_size=\"39183360\"] \n  23 -> 24 [size =\"39183360\"]\n  24 [size=\"29344427\", alpha=\"0.07\", expect_size=\"8803328\"] \n  24 -> 25 [size =\"8803328\"]\n  25 [size=\"142434987\", alpha=\"0.11\", expect_size=\"42730496\"] \n  25 -> 26 [size =\"42730496\"]\n  26 [size=\"145513813\", alpha=\"0.13\", expect_size=\"43654144\"] \n  26 -> 27 [size =\"43654144\"]\n  27 [size=\"113244160\", alpha=\"0.02\", expect_size=\"33973248\"] \n  27 -> 28 [size =\"33973248\"]\n  28 [size=\"76782933\", alpha=\"0.10\", expect_size=\"23034880\"] \n  28 -> 29 [size =\"23034880\"]\n  29 [size=\"90013013\", alpha=\"0.14\", expect_size=\"27003904\"] \n  29 -> 30 [size =\"27003904\"]\n  30 [size=\"27801600\", alpha=\"0.17\", expect_size=\"8340480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89866240\", alpha=\"0.15\", expect_size=\"35946496\"] \n  1 -> 3 [size =\"35946496\"]\n  2 [size=\"34383360\", alpha=\"0.04\", expect_size=\"13753344\"] \n  2 -> 3 [size =\"13753344\"]\n  3 [size=\"64532480\", alpha=\"0.17\", expect_size=\"25812992\"] \n  3 -> 4 [size =\"25812992\"]\n  4 [size=\"39024640\", alpha=\"0.15\", expect_size=\"15609856\"] \n  4 -> 5 [size =\"15609856\"]\n  4 -> 6 [size =\"15609856\"]\n  5 [size=\"40460800\", alpha=\"0.12\", expect_size=\"16184320\"] \n  5 -> 7 [size =\"16184320\"]\n  6 [size=\"60567040\", alpha=\"0.02\", expect_size=\"24226816\"] \n  6 -> 7 [size =\"24226816\"]\n  7 [size=\"96555520\", alpha=\"0.05\", expect_size=\"38622208\"] \n  7 -> 8 [size =\"38622208\"]\n  8 [size=\"66490880\", alpha=\"0.09\", expect_size=\"26596352\"] \n  8 -> 9 [size =\"26596352\"]\n  8 -> 10 [size =\"26596352\"]\n  9 [size=\"62128640\", alpha=\"0.07\", expect_size=\"24851456\"] \n  9 -> 11 [size =\"24851456\"]\n  10 [size=\"37416960\", alpha=\"0.08\", expect_size=\"14966784\"] \n  10 -> 11 [size =\"14966784\"]\n  11 [size=\"104936960\", alpha=\"0.17\", expect_size=\"41974784\"] \n  11 -> 12 [size =\"41974784\"]\n  12 [size=\"76431360\", alpha=\"0.20\", expect_size=\"30572544\"] \n  12 -> 13 [size =\"30572544\"]\n  13 [size=\"99110400\", alpha=\"0.02\", expect_size=\"39644160\"] \n  13 -> 14 [size =\"39644160\"]\n  13 -> 15 [size =\"39644160\"]\n  14 [size=\"82268160\", alpha=\"0.05\", expect_size=\"32907264\"] \n  14 -> 17 [size =\"32907264\"]\n  15 [size=\"54671360\", alpha=\"0.13\", expect_size=\"21868544\"] \n  15 -> 16 [size =\"21868544\"]\n  16 [size=\"122524160\", alpha=\"0.10\", expect_size=\"49009664\"] \n  17 [size=\"14205440\", alpha=\"0.08\", expect_size=\"5682176\"] \n  17 -> 18 [size =\"5682176\"]\n  18 [size=\"42071040\", alpha=\"0.04\", expect_size=\"16828416\"] \n  18 -> 19 [size =\"16828416\"]\n  18 -> 20 [size =\"16828416\"]\n  19 [size=\"96998400\", alpha=\"0.16\", expect_size=\"38799360\"] \n  19 -> 22 [size =\"38799360\"]\n  20 [size=\"19937280\", alpha=\"0.06\", expect_size=\"7974912\"] \n  20 -> 21 [size =\"7974912\"]\n  20 -> 22 [size =\"7974912\"]\n  21 [size=\"69017600\", alpha=\"0.09\", expect_size=\"27607040\"] \n  21 -> 24 [size =\"27607040\"]\n  22 [size=\"51217920\", alpha=\"0.16\", expect_size=\"20487168\"] \n  22 -> 23 [size =\"20487168\"]\n  23 [size=\"50199040\", alpha=\"0.11\", expect_size=\"20079616\"] \n  23 -> 26 [size =\"20079616\"]\n  24 [size=\"62901760\", alpha=\"0.11\", expect_size=\"25160704\"] \n  24 -> 25 [size =\"25160704\"]\n  24 -> 26 [size =\"25160704\"]\n  25 [size=\"92431360\", alpha=\"0.15\", expect_size=\"36972544\"] \n  25 -> 27 [size =\"36972544\"]\n  26 [size=\"53844480\", alpha=\"0.08\", expect_size=\"21537792\"] \n  26 -> 28 [size =\"21537792\"]\n  27 [size=\"115217920\", alpha=\"0.15\", expect_size=\"46087168\"] \n  27 -> 29 [size =\"46087168\"]\n  28 [size=\"46545920\", alpha=\"0.10\", expect_size=\"18618368\"] \n  28 -> 29 [size =\"18618368\"]\n  29 [size=\"72995840\", alpha=\"0.14\", expect_size=\"29198336\"] \n  29 -> 30 [size =\"29198336\"]\n  30 [size=\"47654400\", alpha=\"0.02\", expect_size=\"19061760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94973952\", alpha=\"0.14\", expect_size=\"47486976\"] \n  1 -> 2 [size =\"47486976\"]\n  2 [size=\"37357568\", alpha=\"0.15\", expect_size=\"18678784\"] \n  2 -> 3 [size =\"18678784\"]\n  3 [size=\"72415232\", alpha=\"0.13\", expect_size=\"36207616\"] \n  3 -> 4 [size =\"36207616\"]\n  4 [size=\"41015296\", alpha=\"0.08\", expect_size=\"20507648\"] \n  4 -> 5 [size =\"20507648\"]\n  5 [size=\"63637504\", alpha=\"0.10\", expect_size=\"31818752\"] \n  5 -> 6 [size =\"31818752\"]\n  6 [size=\"39694336\", alpha=\"0.13\", expect_size=\"19847168\"] \n  6 -> 7 [size =\"19847168\"]\n  7 [size=\"38055936\", alpha=\"0.01\", expect_size=\"19027968\"] \n  7 -> 8 [size =\"19027968\"]\n  8 [size=\"67049472\", alpha=\"0.15\", expect_size=\"33524736\"] \n  8 -> 9 [size =\"33524736\"]\n  9 [size=\"61052928\", alpha=\"0.18\", expect_size=\"30526464\"] \n  9 -> 10 [size =\"30526464\"]\n  10 [size=\"96129024\", alpha=\"0.19\", expect_size=\"48064512\"] \n  10 -> 11 [size =\"48064512\"]\n  11 [size=\"83517440\", alpha=\"0.13\", expect_size=\"41758720\"] \n  11 -> 12 [size =\"41758720\"]\n  12 [size=\"55949312\", alpha=\"0.15\", expect_size=\"27974656\"] \n  12 -> 13 [size =\"27974656\"]\n  13 [size=\"32360448\", alpha=\"0.03\", expect_size=\"16180224\"] \n  13 -> 14 [size =\"16180224\"]\n  14 [size=\"93655040\", alpha=\"0.07\", expect_size=\"46827520\"] \n  14 -> 15 [size =\"46827520\"]\n  15 [size=\"38787072\", alpha=\"0.12\", expect_size=\"19393536\"] \n  15 -> 16 [size =\"19393536\"]\n  16 [size=\"85131264\", alpha=\"0.12\", expect_size=\"42565632\"] \n  16 -> 17 [size =\"42565632\"]\n  17 [size=\"52269056\", alpha=\"0.03\", expect_size=\"26134528\"] \n  17 -> 18 [size =\"26134528\"]\n  18 [size=\"57561088\", alpha=\"0.14\", expect_size=\"28780544\"] \n  18 -> 19 [size =\"28780544\"]\n  19 [size=\"32067584\", alpha=\"0.07\", expect_size=\"16033792\"] \n  19 -> 20 [size =\"16033792\"]\n  20 [size=\"21911552\", alpha=\"0.01\", expect_size=\"10955776\"] \n  20 -> 21 [size =\"10955776\"]\n  21 [size=\"17059840\", alpha=\"0.13\", expect_size=\"8529920\"] \n  21 -> 22 [size =\"8529920\"]\n  22 [size=\"76810240\", alpha=\"0.11\", expect_size=\"38405120\"] \n  22 -> 23 [size =\"38405120\"]\n  23 [size=\"55134208\", alpha=\"0.02\", expect_size=\"27567104\"] \n  23 -> 24 [size =\"27567104\"]\n  24 [size=\"68368384\", alpha=\"0.19\", expect_size=\"34184192\"] \n  24 -> 25 [size =\"34184192\"]\n  25 [size=\"100345856\", alpha=\"0.08\", expect_size=\"50172928\"] \n  25 -> 26 [size =\"50172928\"]\n  26 [size=\"60303360\", alpha=\"0.02\", expect_size=\"30151680\"] \n  26 -> 27 [size =\"30151680\"]\n  27 [size=\"24479744\", alpha=\"0.03\", expect_size=\"12239872\"] \n  27 -> 28 [size =\"12239872\"]\n  28 [size=\"36761600\", alpha=\"0.15\", expect_size=\"18380800\"] \n  28 -> 29 [size =\"18380800\"]\n  29 [size=\"102146048\", alpha=\"0.19\", expect_size=\"51073024\"] \n  29 -> 30 [size =\"51073024\"]\n  30 [size=\"42776576\", alpha=\"0.20\", expect_size=\"21388288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91151360\", alpha=\"0.08\", expect_size=\"36460544\"] \n  1 -> 3 [size =\"36460544\"]\n  1 -> 4 [size =\"36460544\"]\n  1 -> 6 [size =\"36460544\"]\n  2 [size=\"29171200\", alpha=\"0.14\", expect_size=\"11668480\"] \n  2 -> 5 [size =\"11668480\"]\n  3 [size=\"88312320\", alpha=\"0.01\", expect_size=\"35324928\"] \n  4 [size=\"39902720\", alpha=\"0.02\", expect_size=\"15961088\"] \n  4 -> 7 [size =\"15961088\"]\n  4 -> 8 [size =\"15961088\"]\n  5 [size=\"102382080\", alpha=\"0.18\", expect_size=\"40952832\"] \n  6 [size=\"74199040\", alpha=\"0.04\", expect_size=\"29679616\"] \n  7 [size=\"46960640\", alpha=\"0.12\", expect_size=\"18784256\"] \n  7 -> 11 [size =\"18784256\"]\n  8 [size=\"52736000\", alpha=\"0.02\", expect_size=\"21094400\"] \n  8 -> 9 [size =\"21094400\"]\n  8 -> 10 [size =\"21094400\"]\n  9 [size=\"63948800\", alpha=\"0.17\", expect_size=\"25579520\"] \n  9 -> 17 [size =\"25579520\"]\n  10 [size=\"34324480\", alpha=\"0.19\", expect_size=\"13729792\"] \n  10 -> 15 [size =\"13729792\"]\n  10 -> 16 [size =\"13729792\"]\n  11 [size=\"20441600\", alpha=\"0.15\", expect_size=\"8176640\"] \n  11 -> 12 [size =\"8176640\"]\n  11 -> 13 [size =\"8176640\"]\n  11 -> 14 [size =\"8176640\"]\n  11 -> 16 [size =\"8176640\"]\n  12 [size=\"65172480\", alpha=\"0.10\", expect_size=\"26068992\"] \n  12 -> 21 [size =\"26068992\"]\n  13 [size=\"30174720\", alpha=\"0.18\", expect_size=\"12069888\"] \n  13 -> 18 [size =\"12069888\"]\n  13 -> 20 [size =\"12069888\"]\n  14 [size=\"33566720\", alpha=\"0.19\", expect_size=\"13426688\"] \n  14 -> 20 [size =\"13426688\"]\n  14 -> 23 [size =\"13426688\"]\n  15 [size=\"43476480\", alpha=\"0.18\", expect_size=\"17390592\"] \n  15 -> 18 [size =\"17390592\"]\n  15 -> 23 [size =\"17390592\"]\n  16 [size=\"32422400\", alpha=\"0.10\", expect_size=\"12968960\"] \n  16 -> 19 [size =\"12968960\"]\n  16 -> 22 [size =\"12968960\"]\n  17 [size=\"55288320\", alpha=\"0.18\", expect_size=\"22115328\"] \n  17 -> 20 [size =\"22115328\"]\n  18 [size=\"126325760\", alpha=\"0.07\", expect_size=\"50530304\"] \n  18 -> 25 [size =\"50530304\"]\n  19 [size=\"19325440\", alpha=\"0.02\", expect_size=\"7730176\"] \n  19 -> 26 [size =\"7730176\"]\n  20 [size=\"121689600\", alpha=\"0.19\", expect_size=\"48675840\"] \n  20 -> 25 [size =\"48675840\"]\n  21 [size=\"114995200\", alpha=\"0.10\", expect_size=\"45998080\"] \n  22 [size=\"84974080\", alpha=\"0.03\", expect_size=\"33989632\"] \n  22 -> 24 [size =\"33989632\"]\n  22 -> 26 [size =\"33989632\"]\n  23 [size=\"28295680\", alpha=\"0.09\", expect_size=\"11318272\"] \n  24 [size=\"16522240\", alpha=\"0.20\", expect_size=\"6608896\"] \n  24 -> 28 [size =\"6608896\"]\n  25 [size=\"127902720\", alpha=\"0.06\", expect_size=\"51161088\"] \n  25 -> 27 [size =\"51161088\"]\n  26 [size=\"118479360\", alpha=\"0.02\", expect_size=\"47391744\"] \n  26 -> 27 [size =\"47391744\"]\n  27 [size=\"58188800\", alpha=\"0.04\", expect_size=\"23275520\"] \n  27 -> 29 [size =\"23275520\"]\n  28 [size=\"46625280\", alpha=\"0.13\", expect_size=\"18650112\"] \n  28 -> 30 [size =\"18650112\"]\n  29 [size=\"90726400\", alpha=\"0.10\", expect_size=\"36290560\"] \n  30 [size=\"99573760\", alpha=\"0.11\", expect_size=\"39829504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96414720\", alpha=\"0.13\", expect_size=\"38565888\"] \n  1 -> 23 [size =\"38565888\"]\n  1 -> 24 [size =\"38565888\"]\n  1 -> 25 [size =\"38565888\"]\n  1 -> 26 [size =\"38565888\"]\n  1 -> 27 [size =\"38565888\"]\n  1 -> 29 [size =\"38565888\"]\n  2 [size=\"36426240\", alpha=\"0.03\", expect_size=\"14570496\"] \n  2 -> 22 [size =\"14570496\"]\n  2 -> 23 [size =\"14570496\"]\n  2 -> 26 [size =\"14570496\"]\n  3 [size=\"13340160\", alpha=\"0.07\", expect_size=\"5336064\"] \n  3 -> 21 [size =\"5336064\"]\n  3 -> 22 [size =\"5336064\"]\n  3 -> 23 [size =\"5336064\"]\n  3 -> 24 [size =\"5336064\"]\n  3 -> 27 [size =\"5336064\"]\n  3 -> 30 [size =\"5336064\"]\n  4 [size=\"97277440\", alpha=\"0.18\", expect_size=\"38910976\"] \n  4 -> 21 [size =\"38910976\"]\n  4 -> 22 [size =\"38910976\"]\n  4 -> 23 [size =\"38910976\"]\n  4 -> 24 [size =\"38910976\"]\n  4 -> 27 [size =\"38910976\"]\n  5 [size=\"36602880\", alpha=\"0.05\", expect_size=\"14641152\"] \n  5 -> 21 [size =\"14641152\"]\n  5 -> 23 [size =\"14641152\"]\n  5 -> 24 [size =\"14641152\"]\n  5 -> 24 [size =\"14641152\"]\n  5 -> 25 [size =\"14641152\"]\n  5 -> 29 [size =\"14641152\"]\n  6 [size=\"80634880\", alpha=\"0.18\", expect_size=\"32253952\"] \n  6 -> 21 [size =\"32253952\"]\n  6 -> 22 [size =\"32253952\"]\n  6 -> 24 [size =\"32253952\"]\n  6 -> 25 [size =\"32253952\"]\n  6 -> 26 [size =\"32253952\"]\n  6 -> 29 [size =\"32253952\"]\n  7 [size=\"42219520\", alpha=\"0.18\", expect_size=\"16887808\"] \n  7 -> 22 [size =\"16887808\"]\n  7 -> 22 [size =\"16887808\"]\n  7 -> 24 [size =\"16887808\"]\n  7 -> 25 [size =\"16887808\"]\n  7 -> 26 [size =\"16887808\"]\n  7 -> 28 [size =\"16887808\"]\n  7 -> 29 [size =\"16887808\"]\n  8 [size=\"92142080\", alpha=\"0.11\", expect_size=\"36856832\"] \n  8 -> 21 [size =\"36856832\"]\n  8 -> 22 [size =\"36856832\"]\n  8 -> 23 [size =\"36856832\"]\n  8 -> 25 [size =\"36856832\"]\n  8 -> 26 [size =\"36856832\"]\n  8 -> 27 [size =\"36856832\"]\n  9 [size=\"88453120\", alpha=\"0.12\", expect_size=\"35381248\"] \n  9 -> 22 [size =\"35381248\"]\n  9 -> 22 [size =\"35381248\"]\n  9 -> 23 [size =\"35381248\"]\n  9 -> 27 [size =\"35381248\"]\n  9 -> 29 [size =\"35381248\"]\n  10 [size=\"43742720\", alpha=\"0.18\", expect_size=\"17497088\"] \n  10 -> 21 [size =\"17497088\"]\n  10 -> 23 [size =\"17497088\"]\n  10 -> 23 [size =\"17497088\"]\n  10 -> 24 [size =\"17497088\"]\n  10 -> 25 [size =\"17497088\"]\n  10 -> 27 [size =\"17497088\"]\n  10 -> 28 [size =\"17497088\"]\n  11 [size=\"81738240\", alpha=\"0.05\", expect_size=\"32695296\"] \n  11 -> 21 [size =\"32695296\"]\n  11 -> 23 [size =\"32695296\"]\n  11 -> 24 [size =\"32695296\"]\n  11 -> 27 [size =\"32695296\"]\n  12 [size=\"40307200\", alpha=\"0.03\", expect_size=\"16122880\"] \n  12 -> 21 [size =\"16122880\"]\n  12 -> 23 [size =\"16122880\"]\n  12 -> 24 [size =\"16122880\"]\n  12 -> 25 [size =\"16122880\"]\n  12 -> 27 [size =\"16122880\"]\n  12 -> 29 [size =\"16122880\"]\n  12 -> 30 [size =\"16122880\"]\n  13 [size=\"60633600\", alpha=\"0.00\", expect_size=\"24253440\"] \n  13 -> 21 [size =\"24253440\"]\n  13 -> 22 [size =\"24253440\"]\n  13 -> 23 [size =\"24253440\"]\n  13 -> 24 [size =\"24253440\"]\n  13 -> 25 [size =\"24253440\"]\n  13 -> 26 [size =\"24253440\"]\n  13 -> 29 [size =\"24253440\"]\n  13 -> 30 [size =\"24253440\"]\n  14 [size=\"99435520\", alpha=\"0.09\", expect_size=\"39774208\"] \n  14 -> 21 [size =\"39774208\"]\n  14 -> 22 [size =\"39774208\"]\n  14 -> 23 [size =\"39774208\"]\n  14 -> 25 [size =\"39774208\"]\n  14 -> 25 [size =\"39774208\"]\n  14 -> 27 [size =\"39774208\"]\n  14 -> 29 [size =\"39774208\"]\n  15 [size=\"86044160\", alpha=\"0.10\", expect_size=\"34417664\"] \n  15 -> 22 [size =\"34417664\"]\n  15 -> 29 [size =\"34417664\"]\n  16 [size=\"116014080\", alpha=\"0.13\", expect_size=\"46405632\"] \n  16 -> 22 [size =\"46405632\"]\n  16 -> 27 [size =\"46405632\"]\n  17 [size=\"101785600\", alpha=\"0.00\", expect_size=\"40714240\"] \n  17 -> 24 [size =\"40714240\"]\n  17 -> 25 [size =\"40714240\"]\n  17 -> 28 [size =\"40714240\"]\n  17 -> 29 [size =\"40714240\"]\n  18 [size=\"89408000\", alpha=\"0.10\", expect_size=\"35763200\"] \n  18 -> 24 [size =\"35763200\"]\n  18 -> 25 [size =\"35763200\"]\n  18 -> 29 [size =\"35763200\"]\n  19 [size=\"35502080\", alpha=\"0.14\", expect_size=\"14200832\"] \n  19 -> 21 [size =\"14200832\"]\n  19 -> 25 [size =\"14200832\"]\n  19 -> 26 [size =\"14200832\"]\n  19 -> 27 [size =\"14200832\"]\n  19 -> 28 [size =\"14200832\"]\n  20 [size=\"108198400\", alpha=\"0.16\", expect_size=\"43279360\"] \n  20 -> 21 [size =\"43279360\"]\n  20 -> 22 [size =\"43279360\"]\n  20 -> 23 [size =\"43279360\"]\n  20 -> 24 [size =\"43279360\"]\n  20 -> 25 [size =\"43279360\"]\n  20 -> 26 [size =\"43279360\"]\n  20 -> 29 [size =\"43279360\"]\n  20 -> 30 [size =\"43279360\"]\n  21 [size=\"95784960\", alpha=\"0.12\", expect_size=\"38313984\"] \n  22 [size=\"127390720\", alpha=\"0.12\", expect_size=\"50956288\"] \n  23 [size=\"29061120\", alpha=\"0.12\", expect_size=\"11624448\"] \n  24 [size=\"29401600\", alpha=\"0.06\", expect_size=\"11760640\"] \n  25 [size=\"82301440\", alpha=\"0.04\", expect_size=\"32920576\"] \n  26 [size=\"24931840\", alpha=\"0.14\", expect_size=\"9972736\"] \n  27 [size=\"100172800\", alpha=\"0.09\", expect_size=\"40069120\"] \n  28 [size=\"102090240\", alpha=\"0.17\", expect_size=\"40836096\"] \n  29 [size=\"44259840\", alpha=\"0.18\", expect_size=\"17703936\"] \n  30 [size=\"127800320\", alpha=\"0.04\", expect_size=\"51120128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86777856\", alpha=\"0.10\", expect_size=\"43388928\"] \n  1 -> 24 [size =\"43388928\"]\n  1 -> 25 [size =\"43388928\"]\n  1 -> 27 [size =\"43388928\"]\n  1 -> 29 [size =\"43388928\"]\n  2 [size=\"23265280\", alpha=\"0.15\", expect_size=\"11632640\"] \n  2 -> 24 [size =\"11632640\"]\n  2 -> 25 [size =\"11632640\"]\n  2 -> 27 [size =\"11632640\"]\n  2 -> 28 [size =\"11632640\"]\n  2 -> 29 [size =\"11632640\"]\n  2 -> 30 [size =\"11632640\"]\n  3 [size=\"20686848\", alpha=\"0.17\", expect_size=\"10343424\"] \n  3 -> 28 [size =\"10343424\"]\n  3 -> 29 [size =\"10343424\"]\n  3 -> 30 [size =\"10343424\"]\n  4 [size=\"60622848\", alpha=\"0.20\", expect_size=\"30311424\"] \n  4 -> 28 [size =\"30311424\"]\n  4 -> 30 [size =\"30311424\"]\n  4 -> 30 [size =\"30311424\"]\n  5 [size=\"74182656\", alpha=\"0.12\", expect_size=\"37091328\"] \n  5 -> 26 [size =\"37091328\"]\n  5 -> 27 [size =\"37091328\"]\n  5 -> 30 [size =\"37091328\"]\n  6 [size=\"66347008\", alpha=\"0.04\", expect_size=\"33173504\"] \n  6 -> 27 [size =\"33173504\"]\n  6 -> 30 [size =\"33173504\"]\n  7 [size=\"93587456\", alpha=\"0.16\", expect_size=\"46793728\"] \n  7 -> 29 [size =\"46793728\"]\n  8 [size=\"48148480\", alpha=\"0.20\", expect_size=\"24074240\"] \n  8 -> 26 [size =\"24074240\"]\n  8 -> 28 [size =\"24074240\"]\n  8 -> 30 [size =\"24074240\"]\n  9 [size=\"61691904\", alpha=\"0.06\", expect_size=\"30845952\"] \n  9 -> 28 [size =\"30845952\"]\n  9 -> 29 [size =\"30845952\"]\n  9 -> 30 [size =\"30845952\"]\n  10 [size=\"92483584\", alpha=\"0.06\", expect_size=\"46241792\"] \n  10 -> 24 [size =\"46241792\"]\n  10 -> 28 [size =\"46241792\"]\n  11 [size=\"58980352\", alpha=\"0.16\", expect_size=\"29490176\"] \n  11 -> 24 [size =\"29490176\"]\n  11 -> 25 [size =\"29490176\"]\n  11 -> 27 [size =\"29490176\"]\n  11 -> 28 [size =\"29490176\"]\n  11 -> 30 [size =\"29490176\"]\n  12 [size=\"13041664\", alpha=\"0.18\", expect_size=\"6520832\"] \n  12 -> 25 [size =\"6520832\"]\n  12 -> 27 [size =\"6520832\"]\n  12 -> 28 [size =\"6520832\"]\n  12 -> 29 [size =\"6520832\"]\n  12 -> 30 [size =\"6520832\"]\n  13 [size=\"84604928\", alpha=\"0.09\", expect_size=\"42302464\"] \n  14 [size=\"69828608\", alpha=\"0.03\", expect_size=\"34914304\"] \n  14 -> 27 [size =\"34914304\"]\n  14 -> 30 [size =\"34914304\"]\n  15 [size=\"68425728\", alpha=\"0.13\", expect_size=\"34212864\"] \n  15 -> 27 [size =\"34212864\"]\n  15 -> 29 [size =\"34212864\"]\n  16 [size=\"31807488\", alpha=\"0.13\", expect_size=\"15903744\"] \n  16 -> 25 [size =\"15903744\"]\n  16 -> 27 [size =\"15903744\"]\n  16 -> 29 [size =\"15903744\"]\n  17 [size=\"50434048\", alpha=\"0.13\", expect_size=\"25217024\"] \n  17 -> 27 [size =\"25217024\"]\n  17 -> 27 [size =\"25217024\"]\n  17 -> 30 [size =\"25217024\"]\n  18 [size=\"31047680\", alpha=\"0.02\", expect_size=\"15523840\"] \n  18 -> 25 [size =\"15523840\"]\n  18 -> 27 [size =\"15523840\"]\n  18 -> 29 [size =\"15523840\"]\n  19 [size=\"30584832\", alpha=\"0.14\", expect_size=\"15292416\"] \n  19 -> 30 [size =\"15292416\"]\n  20 [size=\"58353664\", alpha=\"0.10\", expect_size=\"29176832\"] \n  20 -> 27 [size =\"29176832\"]\n  20 -> 30 [size =\"29176832\"]\n  21 [size=\"85620736\", alpha=\"0.02\", expect_size=\"42810368\"] \n  21 -> 27 [size =\"42810368\"]\n  21 -> 28 [size =\"42810368\"]\n  21 -> 29 [size =\"42810368\"]\n  21 -> 30 [size =\"42810368\"]\n  22 [size=\"66891776\", alpha=\"0.18\", expect_size=\"33445888\"] \n  22 -> 25 [size =\"33445888\"]\n  22 -> 26 [size =\"33445888\"]\n  22 -> 27 [size =\"33445888\"]\n  22 -> 28 [size =\"33445888\"]\n  23 [size=\"59455488\", alpha=\"0.15\", expect_size=\"29727744\"] \n  23 -> 24 [size =\"29727744\"]\n  23 -> 25 [size =\"29727744\"]\n  23 -> 27 [size =\"29727744\"]\n  23 -> 28 [size =\"29727744\"]\n  24 [size=\"99633152\", alpha=\"0.03\", expect_size=\"49816576\"] \n  25 [size=\"21526528\", alpha=\"0.04\", expect_size=\"10763264\"] \n  26 [size=\"83310592\", alpha=\"0.18\", expect_size=\"41655296\"] \n  27 [size=\"51453952\", alpha=\"0.09\", expect_size=\"25726976\"] \n  28 [size=\"18001920\", alpha=\"0.08\", expect_size=\"9000960\"] \n  29 [size=\"26787840\", alpha=\"0.17\", expect_size=\"13393920\"] \n  30 [size=\"90544128\", alpha=\"0.04\", expect_size=\"45272064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120499200\", alpha=\"0.13\", expect_size=\"48199680\"] \n  2 [size=\"70622720\", alpha=\"0.14\", expect_size=\"28249088\"] \n  3 [size=\"50818560\", alpha=\"0.08\", expect_size=\"20327424\"] \n  4 [size=\"126970880\", alpha=\"0.01\", expect_size=\"50788352\"] \n  5 [size=\"109365760\", alpha=\"0.05\", expect_size=\"43746304\"] \n  6 [size=\"21550080\", alpha=\"0.19\", expect_size=\"8620032\"] \n  7 [size=\"110497280\", alpha=\"0.15\", expect_size=\"44198912\"] \n  8 [size=\"49397760\", alpha=\"0.13\", expect_size=\"19759104\"] \n  9 [size=\"24960000\", alpha=\"0.06\", expect_size=\"9984000\"] \n  10 [size=\"81180160\", alpha=\"0.19\", expect_size=\"32472064\"] \n  11 [size=\"72778240\", alpha=\"0.08\", expect_size=\"29111296\"] \n  12 [size=\"32276480\", alpha=\"0.06\", expect_size=\"12910592\"] \n  13 [size=\"114117120\", alpha=\"0.12\", expect_size=\"45646848\"] \n  14 [size=\"43018240\", alpha=\"0.05\", expect_size=\"17207296\"] \n  15 [size=\"51115520\", alpha=\"0.15\", expect_size=\"20446208\"] \n  16 [size=\"82114560\", alpha=\"0.14\", expect_size=\"32845824\"] \n  17 [size=\"78312960\", alpha=\"0.16\", expect_size=\"31325184\"] \n  18 [size=\"48693760\", alpha=\"0.01\", expect_size=\"19477504\"] \n  19 [size=\"122823680\", alpha=\"0.01\", expect_size=\"49129472\"] \n  20 [size=\"40752640\", alpha=\"0.05\", expect_size=\"16301056\"] \n  21 [size=\"35397120\", alpha=\"0.08\", expect_size=\"14158848\"] \n  22 [size=\"82634240\", alpha=\"0.00\", expect_size=\"33053696\"] \n  23 [size=\"119480320\", alpha=\"0.19\", expect_size=\"47792128\"] \n  24 [size=\"71249920\", alpha=\"0.17\", expect_size=\"28499968\"] \n  25 [size=\"99676160\", alpha=\"0.11\", expect_size=\"39870464\"] \n  26 [size=\"67998720\", alpha=\"0.07\", expect_size=\"27199488\"] \n  27 [size=\"34234880\", alpha=\"0.19\", expect_size=\"13693952\"] \n  28 [size=\"130055680\", alpha=\"0.17\", expect_size=\"52022272\"] \n  29 [size=\"19691520\", alpha=\"0.18\", expect_size=\"7876608\"] \n  30 [size=\"26076160\", alpha=\"0.10\", expect_size=\"10430464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101084160\", alpha=\"0.11\", expect_size=\"40433664\"] \n  2 [size=\"64330240\", alpha=\"0.17\", expect_size=\"25732096\"] \n  2 -> 11 [size =\"25732096\"]\n  3 [size=\"57505280\", alpha=\"0.07\", expect_size=\"23002112\"] \n  4 [size=\"35105280\", alpha=\"0.06\", expect_size=\"14042112\"] \n  4 -> 12 [size =\"14042112\"]\n  4 -> 15 [size =\"14042112\"]\n  5 [size=\"111214080\", alpha=\"0.05\", expect_size=\"44485632\"] \n  5 -> 12 [size =\"44485632\"]\n  5 -> 13 [size =\"44485632\"]\n  6 [size=\"52848640\", alpha=\"0.14\", expect_size=\"21139456\"] \n  6 -> 14 [size =\"21139456\"]\n  7 [size=\"24512000\", alpha=\"0.07\", expect_size=\"9804800\"] \n  7 -> 14 [size =\"9804800\"]\n  8 [size=\"119464960\", alpha=\"0.17\", expect_size=\"47785984\"] \n  8 -> 15 [size =\"47785984\"]\n  9 [size=\"31016960\", alpha=\"0.15\", expect_size=\"12406784\"] \n  9 -> 10 [size =\"12406784\"]\n  9 -> 16 [size =\"12406784\"]\n  10 [size=\"81256960\", alpha=\"0.06\", expect_size=\"32502784\"] \n  10 -> 26 [size =\"32502784\"]\n  11 [size=\"56522240\", alpha=\"0.16\", expect_size=\"22608896\"] \n  11 -> 23 [size =\"22608896\"]\n  11 -> 25 [size =\"22608896\"]\n  11 -> 26 [size =\"22608896\"]\n  12 [size=\"122644480\", alpha=\"0.03\", expect_size=\"49057792\"] \n  12 -> 20 [size =\"49057792\"]\n  12 -> 22 [size =\"49057792\"]\n  12 -> 24 [size =\"49057792\"]\n  13 [size=\"103703040\", alpha=\"0.16\", expect_size=\"41481216\"] \n  13 -> 21 [size =\"41481216\"]\n  13 -> 25 [size =\"41481216\"]\n  13 -> 26 [size =\"41481216\"]\n  14 [size=\"26708480\", alpha=\"0.09\", expect_size=\"10683392\"] \n  14 -> 17 [size =\"10683392\"]\n  14 -> 21 [size =\"10683392\"]\n  15 [size=\"63928320\", alpha=\"0.12\", expect_size=\"25571328\"] \n  15 -> 19 [size =\"25571328\"]\n  16 [size=\"96294400\", alpha=\"0.05\", expect_size=\"38517760\"] \n  16 -> 18 [size =\"38517760\"]\n  16 -> 23 [size =\"38517760\"]\n  16 -> 24 [size =\"38517760\"]\n  17 [size=\"60042240\", alpha=\"0.02\", expect_size=\"24016896\"] \n  17 -> 28 [size =\"24016896\"]\n  18 [size=\"102182400\", alpha=\"0.10\", expect_size=\"40872960\"] \n  18 -> 30 [size =\"40872960\"]\n  19 [size=\"84961280\", alpha=\"0.12\", expect_size=\"33984512\"] \n  19 -> 27 [size =\"33984512\"]\n  20 [size=\"57530880\", alpha=\"0.20\", expect_size=\"23012352\"] \n  20 -> 27 [size =\"23012352\"]\n  20 -> 29 [size =\"23012352\"]\n  21 [size=\"91000320\", alpha=\"0.03\", expect_size=\"36400128\"] \n  21 -> 28 [size =\"36400128\"]\n  22 [size=\"67294720\", alpha=\"0.15\", expect_size=\"26917888\"] \n  22 -> 27 [size =\"26917888\"]\n  22 -> 28 [size =\"26917888\"]\n  23 [size=\"82045440\", alpha=\"0.14\", expect_size=\"32818176\"] \n  23 -> 27 [size =\"32818176\"]\n  23 -> 28 [size =\"32818176\"]\n  24 [size=\"58329600\", alpha=\"0.17\", expect_size=\"23331840\"] \n  24 -> 27 [size =\"23331840\"]\n  25 [size=\"109570560\", alpha=\"0.16\", expect_size=\"43828224\"] \n  26 [size=\"59581440\", alpha=\"0.03\", expect_size=\"23832576\"] \n  27 [size=\"87613440\", alpha=\"0.11\", expect_size=\"35045376\"] \n  28 [size=\"100684800\", alpha=\"0.17\", expect_size=\"40273920\"] \n  29 [size=\"39342080\", alpha=\"0.06\", expect_size=\"15736832\"] \n  30 [size=\"108853760\", alpha=\"0.07\", expect_size=\"43541504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21323776\", alpha=\"0.16\", expect_size=\"10661888\"] \n  1 -> 8 [size =\"10661888\"]\n  1 -> 12 [size =\"10661888\"]\n  1 -> 15 [size =\"10661888\"]\n  1 -> 17 [size =\"10661888\"]\n  2 [size=\"12873728\", alpha=\"0.00\", expect_size=\"6436864\"] \n  2 -> 7 [size =\"6436864\"]\n  2 -> 10 [size =\"6436864\"]\n  2 -> 11 [size =\"6436864\"]\n  2 -> 12 [size =\"6436864\"]\n  2 -> 13 [size =\"6436864\"]\n  3 [size=\"47888384\", alpha=\"0.13\", expect_size=\"23944192\"] \n  3 -> 8 [size =\"23944192\"]\n  3 -> 9 [size =\"23944192\"]\n  3 -> 10 [size =\"23944192\"]\n  3 -> 11 [size =\"23944192\"]\n  3 -> 17 [size =\"23944192\"]\n  4 [size=\"37949440\", alpha=\"0.05\", expect_size=\"18974720\"] \n  4 -> 7 [size =\"18974720\"]\n  4 -> 8 [size =\"18974720\"]\n  4 -> 9 [size =\"18974720\"]\n  4 -> 10 [size =\"18974720\"]\n  4 -> 12 [size =\"18974720\"]\n  4 -> 13 [size =\"18974720\"]\n  4 -> 14 [size =\"18974720\"]\n  4 -> 15 [size =\"18974720\"]\n  4 -> 17 [size =\"18974720\"]\n  5 [size=\"76148736\", alpha=\"0.13\", expect_size=\"38074368\"] \n  5 -> 7 [size =\"38074368\"]\n  5 -> 8 [size =\"38074368\"]\n  5 -> 11 [size =\"38074368\"]\n  5 -> 12 [size =\"38074368\"]\n  5 -> 13 [size =\"38074368\"]\n  5 -> 15 [size =\"38074368\"]\n  6 [size=\"25712640\", alpha=\"0.16\", expect_size=\"12856320\"] \n  6 -> 9 [size =\"12856320\"]\n  6 -> 10 [size =\"12856320\"]\n  6 -> 11 [size =\"12856320\"]\n  6 -> 15 [size =\"12856320\"]\n  6 -> 16 [size =\"12856320\"]\n  6 -> 17 [size =\"12856320\"]\n  7 [size=\"57944064\", alpha=\"0.06\", expect_size=\"28972032\"] \n  7 -> 18 [size =\"28972032\"]\n  7 -> 19 [size =\"28972032\"]\n  8 [size=\"91693056\", alpha=\"0.05\", expect_size=\"45846528\"] \n  8 -> 18 [size =\"45846528\"]\n  8 -> 22 [size =\"45846528\"]\n  8 -> 23 [size =\"45846528\"]\n  9 [size=\"89450496\", alpha=\"0.10\", expect_size=\"44725248\"] \n  9 -> 18 [size =\"44725248\"]\n  9 -> 20 [size =\"44725248\"]\n  10 [size=\"102856704\", alpha=\"0.12\", expect_size=\"51428352\"] \n  10 -> 18 [size =\"51428352\"]\n  10 -> 22 [size =\"51428352\"]\n  11 [size=\"49047552\", alpha=\"0.12\", expect_size=\"24523776\"] \n  11 -> 20 [size =\"24523776\"]\n  11 -> 21 [size =\"24523776\"]\n  11 -> 22 [size =\"24523776\"]\n  12 [size=\"28444672\", alpha=\"0.10\", expect_size=\"14222336\"] \n  12 -> 18 [size =\"14222336\"]\n  12 -> 20 [size =\"14222336\"]\n  13 [size=\"29175808\", alpha=\"0.00\", expect_size=\"14587904\"] \n  13 -> 18 [size =\"14587904\"]\n  13 -> 21 [size =\"14587904\"]\n  13 -> 23 [size =\"14587904\"]\n  14 [size=\"90402816\", alpha=\"0.03\", expect_size=\"45201408\"] \n  14 -> 19 [size =\"45201408\"]\n  14 -> 20 [size =\"45201408\"]\n  14 -> 21 [size =\"45201408\"]\n  15 [size=\"18067456\", alpha=\"0.16\", expect_size=\"9033728\"] \n  15 -> 18 [size =\"9033728\"]\n  16 [size=\"80310272\", alpha=\"0.12\", expect_size=\"40155136\"] \n  17 [size=\"61429760\", alpha=\"0.15\", expect_size=\"30714880\"] \n  18 [size=\"91185152\", alpha=\"0.11\", expect_size=\"45592576\"] \n  18 -> 25 [size =\"45592576\"]\n  18 -> 29 [size =\"45592576\"]\n  18 -> 30 [size =\"45592576\"]\n  19 [size=\"19851264\", alpha=\"0.15\", expect_size=\"9925632\"] \n  19 -> 26 [size =\"9925632\"]\n  19 -> 27 [size =\"9925632\"]\n  19 -> 28 [size =\"9925632\"]\n  19 -> 29 [size =\"9925632\"]\n  20 [size=\"66936832\", alpha=\"0.13\", expect_size=\"33468416\"] \n  20 -> 26 [size =\"33468416\"]\n  20 -> 28 [size =\"33468416\"]\n  21 [size=\"31162368\", alpha=\"0.12\", expect_size=\"15581184\"] \n  21 -> 26 [size =\"15581184\"]\n  21 -> 27 [size =\"15581184\"]\n  22 [size=\"85766144\", alpha=\"0.12\", expect_size=\"42883072\"] \n  22 -> 27 [size =\"42883072\"]\n  22 -> 29 [size =\"42883072\"]\n  22 -> 30 [size =\"42883072\"]\n  23 [size=\"40140800\", alpha=\"0.00\", expect_size=\"20070400\"] \n  23 -> 24 [size =\"20070400\"]\n  23 -> 25 [size =\"20070400\"]\n  23 -> 29 [size =\"20070400\"]\n  23 -> 30 [size =\"20070400\"]\n  24 [size=\"41611264\", alpha=\"0.14\", expect_size=\"20805632\"] \n  25 [size=\"54448128\", alpha=\"0.02\", expect_size=\"27224064\"] \n  26 [size=\"36395008\", alpha=\"0.13\", expect_size=\"18197504\"] \n  27 [size=\"94693376\", alpha=\"0.14\", expect_size=\"47346688\"] \n  28 [size=\"69855232\", alpha=\"0.12\", expect_size=\"34927616\"] \n  29 [size=\"25491456\", alpha=\"0.07\", expect_size=\"12745728\"] \n  30 [size=\"98355200\", alpha=\"0.02\", expect_size=\"49177600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68641280\", alpha=\"0.06\", expect_size=\"27456512\"] \n  1 -> 2 [size =\"27456512\"]\n  2 [size=\"49006080\", alpha=\"0.13\", expect_size=\"19602432\"] \n  2 -> 3 [size =\"19602432\"]\n  3 [size=\"30382080\", alpha=\"0.17\", expect_size=\"12152832\"] \n  3 -> 4 [size =\"12152832\"]\n  4 [size=\"108387840\", alpha=\"0.15\", expect_size=\"43355136\"] \n  4 -> 5 [size =\"43355136\"]\n  5 [size=\"66892800\", alpha=\"0.15\", expect_size=\"26757120\"] \n  5 -> 6 [size =\"26757120\"]\n  6 [size=\"77360640\", alpha=\"0.14\", expect_size=\"30944256\"] \n  6 -> 7 [size =\"30944256\"]\n  7 [size=\"104729600\", alpha=\"0.00\", expect_size=\"41891840\"] \n  7 -> 8 [size =\"41891840\"]\n  8 [size=\"57684480\", alpha=\"0.17\", expect_size=\"23073792\"] \n  8 -> 9 [size =\"23073792\"]\n  9 [size=\"70279680\", alpha=\"0.02\", expect_size=\"28111872\"] \n  9 -> 10 [size =\"28111872\"]\n  10 [size=\"86336000\", alpha=\"0.07\", expect_size=\"34534400\"] \n  10 -> 11 [size =\"34534400\"]\n  11 [size=\"86609920\", alpha=\"0.02\", expect_size=\"34643968\"] \n  11 -> 12 [size =\"34643968\"]\n  12 [size=\"119290880\", alpha=\"0.02\", expect_size=\"47716352\"] \n  12 -> 13 [size =\"47716352\"]\n  13 [size=\"75563520\", alpha=\"0.07\", expect_size=\"30225408\"] \n  13 -> 14 [size =\"30225408\"]\n  14 [size=\"56258560\", alpha=\"0.09\", expect_size=\"22503424\"] \n  14 -> 15 [size =\"22503424\"]\n  15 [size=\"29437440\", alpha=\"0.05\", expect_size=\"11774976\"] \n  15 -> 16 [size =\"11774976\"]\n  16 [size=\"120660480\", alpha=\"0.04\", expect_size=\"48264192\"] \n  16 -> 17 [size =\"48264192\"]\n  17 [size=\"85127680\", alpha=\"0.11\", expect_size=\"34051072\"] \n  17 -> 18 [size =\"34051072\"]\n  18 [size=\"86497280\", alpha=\"0.18\", expect_size=\"34598912\"] \n  18 -> 19 [size =\"34598912\"]\n  19 [size=\"66542080\", alpha=\"0.10\", expect_size=\"26616832\"] \n  19 -> 20 [size =\"26616832\"]\n  20 [size=\"80089600\", alpha=\"0.13\", expect_size=\"32035840\"] \n  20 -> 21 [size =\"32035840\"]\n  21 [size=\"118945280\", alpha=\"0.06\", expect_size=\"47578112\"] \n  21 -> 22 [size =\"47578112\"]\n  22 [size=\"15257600\", alpha=\"0.04\", expect_size=\"6103040\"] \n  22 -> 23 [size =\"6103040\"]\n  23 [size=\"29969920\", alpha=\"0.05\", expect_size=\"11987968\"] \n  23 -> 24 [size =\"11987968\"]\n  24 [size=\"72007680\", alpha=\"0.03\", expect_size=\"28803072\"] \n  24 -> 25 [size =\"28803072\"]\n  25 [size=\"123545600\", alpha=\"0.09\", expect_size=\"49418240\"] \n  25 -> 26 [size =\"49418240\"]\n  26 [size=\"37952000\", alpha=\"0.07\", expect_size=\"15180800\"] \n  26 -> 27 [size =\"15180800\"]\n  27 [size=\"60060160\", alpha=\"0.20\", expect_size=\"24024064\"] \n  27 -> 28 [size =\"24024064\"]\n  28 [size=\"123412480\", alpha=\"0.00\", expect_size=\"49364992\"] \n  28 -> 29 [size =\"49364992\"]\n  29 [size=\"112616960\", alpha=\"0.11\", expect_size=\"45046784\"] \n  29 -> 30 [size =\"45046784\"]\n  30 [size=\"55923200\", alpha=\"0.13\", expect_size=\"22369280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111851520\", alpha=\"0.19\", expect_size=\"44740608\"] \n  1 -> 2 [size =\"44740608\"]\n  2 [size=\"81822720\", alpha=\"0.03\", expect_size=\"32729088\"] \n  2 -> 3 [size =\"32729088\"]\n  3 [size=\"82913280\", alpha=\"0.04\", expect_size=\"33165312\"] \n  3 -> 4 [size =\"33165312\"]\n  4 [size=\"92723200\", alpha=\"0.04\", expect_size=\"37089280\"] \n  4 -> 5 [size =\"37089280\"]\n  5 [size=\"109273600\", alpha=\"0.17\", expect_size=\"43709440\"] \n  5 -> 6 [size =\"43709440\"]\n  6 [size=\"117639680\", alpha=\"0.06\", expect_size=\"47055872\"] \n  6 -> 7 [size =\"47055872\"]\n  7 [size=\"121566720\", alpha=\"0.13\", expect_size=\"48626688\"] \n  7 -> 8 [size =\"48626688\"]\n  8 [size=\"101276160\", alpha=\"0.11\", expect_size=\"40510464\"] \n  8 -> 9 [size =\"40510464\"]\n  9 [size=\"128550400\", alpha=\"0.16\", expect_size=\"51420160\"] \n  9 -> 10 [size =\"51420160\"]\n  10 [size=\"102356480\", alpha=\"0.06\", expect_size=\"40942592\"] \n  10 -> 11 [size =\"40942592\"]\n  11 [size=\"38420480\", alpha=\"0.09\", expect_size=\"15368192\"] \n  11 -> 12 [size =\"15368192\"]\n  12 [size=\"35317760\", alpha=\"0.15\", expect_size=\"14127104\"] \n  12 -> 13 [size =\"14127104\"]\n  13 [size=\"50654720\", alpha=\"0.18\", expect_size=\"20261888\"] \n  13 -> 14 [size =\"20261888\"]\n  14 [size=\"77112320\", alpha=\"0.13\", expect_size=\"30844928\"] \n  14 -> 15 [size =\"30844928\"]\n  15 [size=\"99686400\", alpha=\"0.17\", expect_size=\"39874560\"] \n  15 -> 16 [size =\"39874560\"]\n  16 [size=\"82012160\", alpha=\"0.01\", expect_size=\"32804864\"] \n  16 -> 17 [size =\"32804864\"]\n  17 [size=\"120199680\", alpha=\"0.15\", expect_size=\"48079872\"] \n  17 -> 18 [size =\"48079872\"]\n  18 [size=\"76065280\", alpha=\"0.18\", expect_size=\"30426112\"] \n  18 -> 19 [size =\"30426112\"]\n  19 [size=\"23948800\", alpha=\"0.09\", expect_size=\"9579520\"] \n  19 -> 20 [size =\"9579520\"]\n  20 [size=\"116643840\", alpha=\"0.04\", expect_size=\"46657536\"] \n  20 -> 21 [size =\"46657536\"]\n  21 [size=\"32279040\", alpha=\"0.15\", expect_size=\"12911616\"] \n  21 -> 22 [size =\"12911616\"]\n  22 [size=\"83919360\", alpha=\"0.17\", expect_size=\"33567744\"] \n  22 -> 23 [size =\"33567744\"]\n  23 [size=\"56217600\", alpha=\"0.12\", expect_size=\"22487040\"] \n  23 -> 24 [size =\"22487040\"]\n  24 [size=\"45158400\", alpha=\"0.20\", expect_size=\"18063360\"] \n  24 -> 25 [size =\"18063360\"]\n  25 [size=\"122288640\", alpha=\"0.04\", expect_size=\"48915456\"] \n  25 -> 26 [size =\"48915456\"]\n  26 [size=\"106583040\", alpha=\"0.06\", expect_size=\"42633216\"] \n  26 -> 27 [size =\"42633216\"]\n  27 [size=\"111319040\", alpha=\"0.07\", expect_size=\"44527616\"] \n  27 -> 28 [size =\"44527616\"]\n  28 [size=\"80312320\", alpha=\"0.02\", expect_size=\"32124928\"] \n  28 -> 29 [size =\"32124928\"]\n  29 [size=\"65948160\", alpha=\"0.17\", expect_size=\"26379264\"] \n  29 -> 30 [size =\"26379264\"]\n  30 [size=\"120161280\", alpha=\"0.07\", expect_size=\"48064512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53805056\", alpha=\"0.08\", expect_size=\"26902528\"] \n  1 -> 12 [size =\"26902528\"]\n  1 -> 14 [size =\"26902528\"]\n  2 [size=\"102989824\", alpha=\"0.17\", expect_size=\"51494912\"] \n  2 -> 8 [size =\"51494912\"]\n  2 -> 10 [size =\"51494912\"]\n  2 -> 12 [size =\"51494912\"]\n  2 -> 14 [size =\"51494912\"]\n  3 [size=\"57352192\", alpha=\"0.13\", expect_size=\"28676096\"] \n  3 -> 8 [size =\"28676096\"]\n  3 -> 11 [size =\"28676096\"]\n  3 -> 12 [size =\"28676096\"]\n  3 -> 13 [size =\"28676096\"]\n  3 -> 14 [size =\"28676096\"]\n  4 [size=\"87447552\", alpha=\"0.17\", expect_size=\"43723776\"] \n  4 -> 8 [size =\"43723776\"]\n  4 -> 12 [size =\"43723776\"]\n  4 -> 13 [size =\"43723776\"]\n  5 [size=\"59568128\", alpha=\"0.12\", expect_size=\"29784064\"] \n  5 -> 8 [size =\"29784064\"]\n  5 -> 9 [size =\"29784064\"]\n  6 [size=\"37830656\", alpha=\"0.07\", expect_size=\"18915328\"] \n  6 -> 14 [size =\"18915328\"]\n  7 [size=\"61745152\", alpha=\"0.13\", expect_size=\"30872576\"] \n  7 -> 12 [size =\"30872576\"]\n  7 -> 13 [size =\"30872576\"]\n  7 -> 14 [size =\"30872576\"]\n  8 [size=\"73543680\", alpha=\"0.04\", expect_size=\"36771840\"] \n  8 -> 15 [size =\"36771840\"]\n  8 -> 16 [size =\"36771840\"]\n  8 -> 18 [size =\"36771840\"]\n  8 -> 20 [size =\"36771840\"]\n  8 -> 25 [size =\"36771840\"]\n  9 [size=\"84051968\", alpha=\"0.14\", expect_size=\"42025984\"] \n  9 -> 15 [size =\"42025984\"]\n  9 -> 16 [size =\"42025984\"]\n  9 -> 19 [size =\"42025984\"]\n  9 -> 20 [size =\"42025984\"]\n  9 -> 23 [size =\"42025984\"]\n  9 -> 25 [size =\"42025984\"]\n  10 [size=\"11290624\", alpha=\"0.07\", expect_size=\"5645312\"] \n  10 -> 16 [size =\"5645312\"]\n  10 -> 18 [size =\"5645312\"]\n  10 -> 19 [size =\"5645312\"]\n  10 -> 20 [size =\"5645312\"]\n  10 -> 22 [size =\"5645312\"]\n  10 -> 25 [size =\"5645312\"]\n  11 [size=\"23994368\", alpha=\"0.00\", expect_size=\"11997184\"] \n  11 -> 18 [size =\"11997184\"]\n  11 -> 19 [size =\"11997184\"]\n  11 -> 20 [size =\"11997184\"]\n  11 -> 22 [size =\"11997184\"]\n  11 -> 23 [size =\"11997184\"]\n  12 [size=\"61394944\", alpha=\"0.20\", expect_size=\"30697472\"] \n  12 -> 17 [size =\"30697472\"]\n  12 -> 21 [size =\"30697472\"]\n  12 -> 24 [size =\"30697472\"]\n  12 -> 25 [size =\"30697472\"]\n  13 [size=\"48156672\", alpha=\"0.12\", expect_size=\"24078336\"] \n  13 -> 21 [size =\"24078336\"]\n  13 -> 21 [size =\"24078336\"]\n  14 [size=\"16838656\", alpha=\"0.13\", expect_size=\"8419328\"] \n  14 -> 15 [size =\"8419328\"]\n  14 -> 16 [size =\"8419328\"]\n  14 -> 21 [size =\"8419328\"]\n  14 -> 24 [size =\"8419328\"]\n  15 [size=\"95864832\", alpha=\"0.20\", expect_size=\"47932416\"] \n  15 -> 26 [size =\"47932416\"]\n  16 [size=\"58222592\", alpha=\"0.11\", expect_size=\"29111296\"] \n  16 -> 27 [size =\"29111296\"]\n  17 [size=\"91600896\", alpha=\"0.07\", expect_size=\"45800448\"] \n  17 -> 28 [size =\"45800448\"]\n  17 -> 29 [size =\"45800448\"]\n  18 [size=\"56221696\", alpha=\"0.06\", expect_size=\"28110848\"] \n  18 -> 27 [size =\"28110848\"]\n  18 -> 28 [size =\"28110848\"]\n  18 -> 29 [size =\"28110848\"]\n  18 -> 30 [size =\"28110848\"]\n  19 [size=\"76570624\", alpha=\"0.14\", expect_size=\"38285312\"] \n  19 -> 26 [size =\"38285312\"]\n  19 -> 27 [size =\"38285312\"]\n  19 -> 28 [size =\"38285312\"]\n  19 -> 30 [size =\"38285312\"]\n  20 [size=\"46252032\", alpha=\"0.07\", expect_size=\"23126016\"] \n  20 -> 27 [size =\"23126016\"]\n  21 [size=\"77434880\", alpha=\"0.09\", expect_size=\"38717440\"] \n  22 [size=\"77459456\", alpha=\"0.11\", expect_size=\"38729728\"] \n  23 [size=\"77252608\", alpha=\"0.02\", expect_size=\"38626304\"] \n  23 -> 29 [size =\"38626304\"]\n  24 [size=\"41533440\", alpha=\"0.10\", expect_size=\"20766720\"] \n  24 -> 28 [size =\"20766720\"]\n  25 [size=\"104271872\", alpha=\"0.09\", expect_size=\"52135936\"] \n  25 -> 29 [size =\"52135936\"]\n  26 [size=\"103174144\", alpha=\"0.13\", expect_size=\"51587072\"] \n  27 [size=\"58898432\", alpha=\"0.08\", expect_size=\"29449216\"] \n  28 [size=\"94089216\", alpha=\"0.17\", expect_size=\"47044608\"] \n  29 [size=\"25929728\", alpha=\"0.01\", expect_size=\"12964864\"] \n  30 [size=\"89647104\", alpha=\"0.05\", expect_size=\"44823552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26357760\", alpha=\"0.19\", expect_size=\"10543104\"] \n  2 [size=\"65889280\", alpha=\"0.12\", expect_size=\"26355712\"] \n  2 -> 3 [size =\"26355712\"]\n  3 [size=\"27870720\", alpha=\"0.02\", expect_size=\"11148288\"] \n  3 -> 4 [size =\"11148288\"]\n  4 [size=\"126648320\", alpha=\"0.08\", expect_size=\"50659328\"] \n  4 -> 5 [size =\"50659328\"]\n  5 [size=\"120171520\", alpha=\"0.13\", expect_size=\"48068608\"] \n  5 -> 6 [size =\"48068608\"]\n  5 -> 7 [size =\"48068608\"]\n  6 [size=\"34524160\", alpha=\"0.15\", expect_size=\"13809664\"] \n  6 -> 8 [size =\"13809664\"]\n  7 [size=\"107335680\", alpha=\"0.08\", expect_size=\"42934272\"] \n  8 [size=\"51612160\", alpha=\"0.16\", expect_size=\"20644864\"] \n  8 -> 9 [size =\"20644864\"]\n  8 -> 10 [size =\"20644864\"]\n  9 [size=\"47946240\", alpha=\"0.07\", expect_size=\"19178496\"] \n  10 [size=\"18964480\", alpha=\"0.04\", expect_size=\"7585792\"] \n  10 -> 11 [size =\"7585792\"]\n  11 [size=\"17159680\", alpha=\"0.08\", expect_size=\"6863872\"] \n  11 -> 12 [size =\"6863872\"]\n  11 -> 13 [size =\"6863872\"]\n  12 [size=\"130247680\", alpha=\"0.19\", expect_size=\"52099072\"] \n  12 -> 15 [size =\"52099072\"]\n  13 [size=\"80696320\", alpha=\"0.16\", expect_size=\"32278528\"] \n  13 -> 14 [size =\"32278528\"]\n  14 [size=\"92646400\", alpha=\"0.16\", expect_size=\"37058560\"] \n  15 [size=\"22364160\", alpha=\"0.18\", expect_size=\"8945664\"] \n  15 -> 16 [size =\"8945664\"]\n  15 -> 17 [size =\"8945664\"]\n  16 [size=\"100190720\", alpha=\"0.17\", expect_size=\"40076288\"] \n  16 -> 18 [size =\"40076288\"]\n  17 [size=\"72995840\", alpha=\"0.17\", expect_size=\"29198336\"] \n  18 [size=\"117347840\", alpha=\"0.07\", expect_size=\"46939136\"] \n  18 -> 19 [size =\"46939136\"]\n  18 -> 20 [size =\"46939136\"]\n  19 [size=\"96253440\", alpha=\"0.15\", expect_size=\"38501376\"] \n  20 [size=\"18997760\", alpha=\"0.12\", expect_size=\"7599104\"] \n  20 -> 21 [size =\"7599104\"]\n  20 -> 22 [size =\"7599104\"]\n  21 [size=\"41907200\", alpha=\"0.10\", expect_size=\"16762880\"] \n  21 -> 23 [size =\"16762880\"]\n  22 [size=\"86510080\", alpha=\"0.18\", expect_size=\"34604032\"] \n  22 -> 24 [size =\"34604032\"]\n  23 [size=\"81628160\", alpha=\"0.08\", expect_size=\"32651264\"] \n  23 -> 26 [size =\"32651264\"]\n  24 [size=\"55541760\", alpha=\"0.17\", expect_size=\"22216704\"] \n  24 -> 25 [size =\"22216704\"]\n  25 [size=\"31861760\", alpha=\"0.04\", expect_size=\"12744704\"] \n  25 -> 27 [size =\"12744704\"]\n  26 [size=\"20147200\", alpha=\"0.15\", expect_size=\"8058880\"] \n  27 [size=\"117893120\", alpha=\"0.02\", expect_size=\"47157248\"] \n  27 -> 28 [size =\"47157248\"]\n  27 -> 29 [size =\"47157248\"]\n  28 [size=\"97382400\", alpha=\"0.16\", expect_size=\"38952960\"] \n  28 -> 30 [size =\"38952960\"]\n  29 [size=\"19343360\", alpha=\"0.15\", expect_size=\"7737344\"] \n  30 [size=\"110064640\", alpha=\"0.15\", expect_size=\"44025856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88734720\", alpha=\"0.01\", expect_size=\"35493888\"] \n  1 -> 2 [size =\"35493888\"]\n  2 [size=\"72414720\", alpha=\"0.15\", expect_size=\"28965888\"] \n  2 -> 3 [size =\"28965888\"]\n  3 [size=\"19596800\", alpha=\"0.08\", expect_size=\"7838720\"] \n  3 -> 4 [size =\"7838720\"]\n  4 [size=\"45358080\", alpha=\"0.09\", expect_size=\"18143232\"] \n  4 -> 5 [size =\"18143232\"]\n  5 [size=\"18206720\", alpha=\"0.19\", expect_size=\"7282688\"] \n  5 -> 6 [size =\"7282688\"]\n  6 [size=\"78110720\", alpha=\"0.04\", expect_size=\"31244288\"] \n  6 -> 7 [size =\"31244288\"]\n  7 [size=\"122721280\", alpha=\"0.13\", expect_size=\"49088512\"] \n  7 -> 8 [size =\"49088512\"]\n  8 [size=\"102525440\", alpha=\"0.20\", expect_size=\"41010176\"] \n  8 -> 9 [size =\"41010176\"]\n  9 [size=\"22607360\", alpha=\"0.01\", expect_size=\"9042944\"] \n  9 -> 10 [size =\"9042944\"]\n  10 [size=\"50785280\", alpha=\"0.04\", expect_size=\"20314112\"] \n  10 -> 11 [size =\"20314112\"]\n  11 [size=\"68057600\", alpha=\"0.00\", expect_size=\"27223040\"] \n  11 -> 12 [size =\"27223040\"]\n  12 [size=\"74252800\", alpha=\"0.05\", expect_size=\"29701120\"] \n  12 -> 13 [size =\"29701120\"]\n  13 [size=\"44262400\", alpha=\"0.16\", expect_size=\"17704960\"] \n  13 -> 14 [size =\"17704960\"]\n  14 [size=\"91904000\", alpha=\"0.11\", expect_size=\"36761600\"] \n  14 -> 15 [size =\"36761600\"]\n  15 [size=\"25341440\", alpha=\"0.02\", expect_size=\"10136576\"] \n  15 -> 16 [size =\"10136576\"]\n  16 [size=\"20075520\", alpha=\"0.16\", expect_size=\"8030208\"] \n  16 -> 17 [size =\"8030208\"]\n  17 [size=\"43484160\", alpha=\"0.17\", expect_size=\"17393664\"] \n  17 -> 18 [size =\"17393664\"]\n  18 [size=\"118003200\", alpha=\"0.10\", expect_size=\"47201280\"] \n  18 -> 19 [size =\"47201280\"]\n  19 [size=\"115850240\", alpha=\"0.04\", expect_size=\"46340096\"] \n  19 -> 20 [size =\"46340096\"]\n  20 [size=\"123197440\", alpha=\"0.18\", expect_size=\"49278976\"] \n  20 -> 21 [size =\"49278976\"]\n  21 [size=\"29588480\", alpha=\"0.04\", expect_size=\"11835392\"] \n  21 -> 22 [size =\"11835392\"]\n  22 [size=\"31055360\", alpha=\"0.01\", expect_size=\"12422144\"] \n  22 -> 23 [size =\"12422144\"]\n  23 [size=\"58496000\", alpha=\"0.18\", expect_size=\"23398400\"] \n  23 -> 24 [size =\"23398400\"]\n  24 [size=\"33999360\", alpha=\"0.02\", expect_size=\"13599744\"] \n  24 -> 25 [size =\"13599744\"]\n  25 [size=\"98821120\", alpha=\"0.06\", expect_size=\"39528448\"] \n  25 -> 26 [size =\"39528448\"]\n  26 [size=\"108149760\", alpha=\"0.01\", expect_size=\"43259904\"] \n  26 -> 27 [size =\"43259904\"]\n  27 [size=\"82608640\", alpha=\"0.14\", expect_size=\"33043456\"] \n  27 -> 28 [size =\"33043456\"]\n  28 [size=\"66193920\", alpha=\"0.03\", expect_size=\"26477568\"] \n  28 -> 29 [size =\"26477568\"]\n  29 [size=\"126090240\", alpha=\"0.13\", expect_size=\"50436096\"] \n  29 -> 30 [size =\"50436096\"]\n  30 [size=\"31367680\", alpha=\"0.10\", expect_size=\"12547072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63983616\", alpha=\"0.11\", expect_size=\"31991808\"] \n  1 -> 12 [size =\"31991808\"]\n  1 -> 13 [size =\"31991808\"]\n  1 -> 16 [size =\"31991808\"]\n  2 [size=\"81709056\", alpha=\"0.07\", expect_size=\"40854528\"] \n  2 -> 11 [size =\"40854528\"]\n  2 -> 16 [size =\"40854528\"]\n  2 -> 17 [size =\"40854528\"]\n  2 -> 18 [size =\"40854528\"]\n  3 [size=\"16013312\", alpha=\"0.12\", expect_size=\"8006656\"] \n  3 -> 11 [size =\"8006656\"]\n  3 -> 14 [size =\"8006656\"]\n  3 -> 18 [size =\"8006656\"]\n  3 -> 19 [size =\"8006656\"]\n  4 [size=\"70154240\", alpha=\"0.12\", expect_size=\"35077120\"] \n  4 -> 11 [size =\"35077120\"]\n  4 -> 15 [size =\"35077120\"]\n  4 -> 18 [size =\"35077120\"]\n  5 [size=\"21524480\", alpha=\"0.05\", expect_size=\"10762240\"] \n  5 -> 13 [size =\"10762240\"]\n  5 -> 14 [size =\"10762240\"]\n  5 -> 16 [size =\"10762240\"]\n  5 -> 17 [size =\"10762240\"]\n  5 -> 18 [size =\"10762240\"]\n  6 [size=\"83099648\", alpha=\"0.14\", expect_size=\"41549824\"] \n  6 -> 11 [size =\"41549824\"]\n  6 -> 14 [size =\"41549824\"]\n  6 -> 16 [size =\"41549824\"]\n  7 [size=\"83179520\", alpha=\"0.10\", expect_size=\"41589760\"] \n  7 -> 12 [size =\"41589760\"]\n  7 -> 15 [size =\"41589760\"]\n  8 [size=\"62971904\", alpha=\"0.08\", expect_size=\"31485952\"] \n  8 -> 11 [size =\"31485952\"]\n  8 -> 14 [size =\"31485952\"]\n  8 -> 17 [size =\"31485952\"]\n  9 [size=\"43423744\", alpha=\"0.08\", expect_size=\"21711872\"] \n  9 -> 13 [size =\"21711872\"]\n  9 -> 18 [size =\"21711872\"]\n  10 [size=\"32256000\", alpha=\"0.17\", expect_size=\"16128000\"] \n  10 -> 13 [size =\"16128000\"]\n  10 -> 15 [size =\"16128000\"]\n  10 -> 17 [size =\"16128000\"]\n  10 -> 20 [size =\"16128000\"]\n  11 [size=\"37736448\", alpha=\"0.07\", expect_size=\"18868224\"] \n  11 -> 25 [size =\"18868224\"]\n  11 -> 29 [size =\"18868224\"]\n  12 [size=\"91127808\", alpha=\"0.04\", expect_size=\"45563904\"] \n  12 -> 28 [size =\"45563904\"]\n  13 [size=\"31836160\", alpha=\"0.16\", expect_size=\"15918080\"] \n  13 -> 22 [size =\"15918080\"]\n  13 -> 24 [size =\"15918080\"]\n  13 -> 25 [size =\"15918080\"]\n  13 -> 28 [size =\"15918080\"]\n  13 -> 29 [size =\"15918080\"]\n  14 [size=\"86642688\", alpha=\"0.16\", expect_size=\"43321344\"] \n  14 -> 21 [size =\"43321344\"]\n  14 -> 22 [size =\"43321344\"]\n  14 -> 26 [size =\"43321344\"]\n  14 -> 28 [size =\"43321344\"]\n  15 [size=\"48975872\", alpha=\"0.14\", expect_size=\"24487936\"] \n  15 -> 21 [size =\"24487936\"]\n  15 -> 26 [size =\"24487936\"]\n  15 -> 27 [size =\"24487936\"]\n  16 [size=\"74221568\", alpha=\"0.14\", expect_size=\"37110784\"] \n  16 -> 23 [size =\"37110784\"]\n  16 -> 27 [size =\"37110784\"]\n  16 -> 29 [size =\"37110784\"]\n  17 [size=\"44750848\", alpha=\"0.16\", expect_size=\"22375424\"] \n  17 -> 21 [size =\"22375424\"]\n  17 -> 22 [size =\"22375424\"]\n  17 -> 25 [size =\"22375424\"]\n  17 -> 26 [size =\"22375424\"]\n  18 [size=\"93181952\", alpha=\"0.19\", expect_size=\"46590976\"] \n  18 -> 21 [size =\"46590976\"]\n  18 -> 22 [size =\"46590976\"]\n  18 -> 26 [size =\"46590976\"]\n  18 -> 28 [size =\"46590976\"]\n  19 [size=\"36679680\", alpha=\"0.05\", expect_size=\"18339840\"] \n  19 -> 24 [size =\"18339840\"]\n  19 -> 26 [size =\"18339840\"]\n  19 -> 28 [size =\"18339840\"]\n  19 -> 29 [size =\"18339840\"]\n  20 [size=\"73490432\", alpha=\"0.06\", expect_size=\"36745216\"] \n  20 -> 21 [size =\"36745216\"]\n  20 -> 24 [size =\"36745216\"]\n  20 -> 25 [size =\"36745216\"]\n  21 [size=\"60325888\", alpha=\"0.18\", expect_size=\"30162944\"] \n  22 [size=\"94181376\", alpha=\"0.05\", expect_size=\"47090688\"] \n  22 -> 30 [size =\"47090688\"]\n  23 [size=\"18069504\", alpha=\"0.13\", expect_size=\"9034752\"] \n  23 -> 30 [size =\"9034752\"]\n  24 [size=\"92975104\", alpha=\"0.14\", expect_size=\"46487552\"] \n  24 -> 30 [size =\"46487552\"]\n  25 [size=\"73437184\", alpha=\"0.17\", expect_size=\"36718592\"] \n  25 -> 30 [size =\"36718592\"]\n  26 [size=\"46045184\", alpha=\"0.16\", expect_size=\"23022592\"] \n  27 [size=\"17324032\", alpha=\"0.10\", expect_size=\"8662016\"] \n  28 [size=\"90511360\", alpha=\"0.15\", expect_size=\"45255680\"] \n  29 [size=\"86016000\", alpha=\"0.07\", expect_size=\"43008000\"] \n  30 [size=\"15128576\", alpha=\"0.04\", expect_size=\"7564288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31590400\", alpha=\"0.16\", expect_size=\"9477120\"] \n  1 -> 3 [size =\"9477120\"]\n  2 [size=\"123190613\", alpha=\"0.19\", expect_size=\"36957184\"] \n  3 [size=\"19128320\", alpha=\"0.06\", expect_size=\"5738496\"] \n  3 -> 4 [size =\"5738496\"]\n  4 [size=\"22091093\", alpha=\"0.12\", expect_size=\"6627328\"] \n  4 -> 5 [size =\"6627328\"]\n  4 -> 6 [size =\"6627328\"]\n  5 [size=\"116135253\", alpha=\"0.14\", expect_size=\"34840576\"] \n  5 -> 7 [size =\"34840576\"]\n  5 -> 8 [size =\"34840576\"]\n  6 [size=\"68611413\", alpha=\"0.13\", expect_size=\"20583424\"] \n  6 -> 7 [size =\"20583424\"]\n  7 [size=\"113814187\", alpha=\"0.02\", expect_size=\"34144256\"] \n  7 -> 9 [size =\"34144256\"]\n  7 -> 10 [size =\"34144256\"]\n  8 [size=\"41581227\", alpha=\"0.00\", expect_size=\"12474368\"] \n  8 -> 10 [size =\"12474368\"]\n  9 [size=\"101850453\", alpha=\"0.20\", expect_size=\"30555136\"] \n  10 [size=\"26374827\", alpha=\"0.09\", expect_size=\"7912448\"] \n  10 -> 11 [size =\"7912448\"]\n  11 [size=\"129273173\", alpha=\"0.11\", expect_size=\"38781952\"] \n  11 -> 12 [size =\"38781952\"]\n  11 -> 13 [size =\"38781952\"]\n  12 [size=\"97307307\", alpha=\"0.18\", expect_size=\"29192192\"] \n  12 -> 14 [size =\"29192192\"]\n  13 [size=\"93105493\", alpha=\"0.20\", expect_size=\"27931648\"] \n  13 -> 14 [size =\"27931648\"]\n  14 [size=\"139270827\", alpha=\"0.18\", expect_size=\"41781248\"] \n  14 -> 15 [size =\"41781248\"]\n  14 -> 16 [size =\"41781248\"]\n  15 [size=\"80073387\", alpha=\"0.18\", expect_size=\"24022016\"] \n  15 -> 18 [size =\"24022016\"]\n  16 [size=\"32829440\", alpha=\"0.16\", expect_size=\"9848832\"] \n  16 -> 17 [size =\"9848832\"]\n  17 [size=\"133437440\", alpha=\"0.11\", expect_size=\"40031232\"] \n  17 -> 19 [size =\"40031232\"]\n  18 [size=\"146879147\", alpha=\"0.18\", expect_size=\"44063744\"] \n  18 -> 19 [size =\"44063744\"]\n  18 -> 20 [size =\"44063744\"]\n  19 [size=\"148360533\", alpha=\"0.19\", expect_size=\"44508160\"] \n  20 [size=\"147025920\", alpha=\"0.10\", expect_size=\"44107776\"] \n  20 -> 21 [size =\"44107776\"]\n  21 [size=\"58354347\", alpha=\"0.03\", expect_size=\"17506304\"] \n  21 -> 22 [size =\"17506304\"]\n  21 -> 23 [size =\"17506304\"]\n  22 [size=\"147339947\", alpha=\"0.09\", expect_size=\"44201984\"] \n  22 -> 24 [size =\"44201984\"]\n  23 [size=\"129447253\", alpha=\"0.15\", expect_size=\"38834176\"] \n  23 -> 25 [size =\"38834176\"]\n  24 [size=\"126334293\", alpha=\"0.02\", expect_size=\"37900288\"] \n  24 -> 26 [size =\"37900288\"]\n  24 -> 27 [size =\"37900288\"]\n  25 [size=\"110759253\", alpha=\"0.02\", expect_size=\"33227776\"] \n  25 -> 26 [size =\"33227776\"]\n  26 [size=\"92453547\", alpha=\"0.08\", expect_size=\"27736064\"] \n  26 -> 28 [size =\"27736064\"]\n  27 [size=\"60955307\", alpha=\"0.06\", expect_size=\"18286592\"] \n  27 -> 28 [size =\"18286592\"]\n  28 [size=\"148848640\", alpha=\"0.07\", expect_size=\"44654592\"] \n  28 -> 29 [size =\"44654592\"]\n  29 [size=\"132051627\", alpha=\"0.19\", expect_size=\"39615488\"] \n  29 -> 30 [size =\"39615488\"]\n  30 [size=\"125904213\", alpha=\"0.12\", expect_size=\"37771264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103703893\", alpha=\"0.09\", expect_size=\"31111168\"] \n  1 -> 2 [size =\"31111168\"]\n  2 [size=\"174151680\", alpha=\"0.04\", expect_size=\"52245504\"] \n  2 -> 3 [size =\"52245504\"]\n  2 -> 4 [size =\"52245504\"]\n  3 [size=\"21841920\", alpha=\"0.10\", expect_size=\"6552576\"] \n  3 -> 5 [size =\"6552576\"]\n  3 -> 6 [size =\"6552576\"]\n  4 [size=\"82268160\", alpha=\"0.07\", expect_size=\"24680448\"] \n  4 -> 5 [size =\"24680448\"]\n  4 -> 6 [size =\"24680448\"]\n  5 [size=\"129003520\", alpha=\"0.07\", expect_size=\"38701056\"] \n  6 [size=\"39045120\", alpha=\"0.11\", expect_size=\"11713536\"] \n  6 -> 7 [size =\"11713536\"]\n  7 [size=\"52998827\", alpha=\"0.15\", expect_size=\"15899648\"] \n  7 -> 8 [size =\"15899648\"]\n  7 -> 9 [size =\"15899648\"]\n  8 [size=\"104997547\", alpha=\"0.14\", expect_size=\"31499264\"] \n  8 -> 10 [size =\"31499264\"]\n  9 [size=\"78813867\", alpha=\"0.15\", expect_size=\"23644160\"] \n  10 [size=\"142632960\", alpha=\"0.03\", expect_size=\"42789888\"] \n  10 -> 11 [size =\"42789888\"]\n  11 [size=\"74885120\", alpha=\"0.01\", expect_size=\"22465536\"] \n  11 -> 12 [size =\"22465536\"]\n  12 [size=\"147196587\", alpha=\"0.15\", expect_size=\"44158976\"] \n  12 -> 13 [size =\"44158976\"]\n  13 [size=\"21995520\", alpha=\"0.01\", expect_size=\"6598656\"] \n  13 -> 14 [size =\"6598656\"]\n  14 [size=\"103379627\", alpha=\"0.02\", expect_size=\"31013888\"] \n  14 -> 15 [size =\"31013888\"]\n  14 -> 16 [size =\"31013888\"]\n  15 [size=\"159064747\", alpha=\"0.20\", expect_size=\"47719424\"] \n  15 -> 17 [size =\"47719424\"]\n  16 [size=\"58671787\", alpha=\"0.19\", expect_size=\"17601536\"] \n  17 [size=\"148275200\", alpha=\"0.13\", expect_size=\"44482560\"] \n  17 -> 18 [size =\"44482560\"]\n  18 [size=\"109400747\", alpha=\"0.06\", expect_size=\"32820224\"] \n  18 -> 19 [size =\"32820224\"]\n  18 -> 20 [size =\"32820224\"]\n  19 [size=\"60467200\", alpha=\"0.08\", expect_size=\"18140160\"] \n  19 -> 21 [size =\"18140160\"]\n  19 -> 22 [size =\"18140160\"]\n  20 [size=\"174554453\", alpha=\"0.15\", expect_size=\"52366336\"] \n  21 [size=\"36969813\", alpha=\"0.14\", expect_size=\"11090944\"] \n  22 [size=\"44977493\", alpha=\"0.12\", expect_size=\"13493248\"] \n  22 -> 23 [size =\"13493248\"]\n  22 -> 24 [size =\"13493248\"]\n  23 [size=\"159259307\", alpha=\"0.11\", expect_size=\"47777792\"] \n  24 [size=\"170400427\", alpha=\"0.18\", expect_size=\"51120128\"] \n  24 -> 25 [size =\"51120128\"]\n  25 [size=\"27743573\", alpha=\"0.20\", expect_size=\"8323072\"] \n  25 -> 26 [size =\"8323072\"]\n  26 [size=\"26586453\", alpha=\"0.04\", expect_size=\"7975936\"] \n  26 -> 27 [size =\"7975936\"]\n  27 [size=\"17739093\", alpha=\"0.13\", expect_size=\"5321728\"] \n  27 -> 28 [size =\"5321728\"]\n  28 [size=\"117780480\", alpha=\"0.12\", expect_size=\"35334144\"] \n  28 -> 29 [size =\"35334144\"]\n  29 [size=\"162706773\", alpha=\"0.20\", expect_size=\"48812032\"] \n  29 -> 30 [size =\"48812032\"]\n  30 [size=\"68102827\", alpha=\"0.03\", expect_size=\"20430848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25313280\", alpha=\"0.17\", expect_size=\"7593984\"] \n  1 -> 27 [size =\"7593984\"]\n  1 -> 29 [size =\"7593984\"]\n  2 [size=\"72867840\", alpha=\"0.18\", expect_size=\"21860352\"] \n  2 -> 25 [size =\"21860352\"]\n  2 -> 26 [size =\"21860352\"]\n  2 -> 29 [size =\"21860352\"]\n  3 [size=\"157187413\", alpha=\"0.10\", expect_size=\"47156224\"] \n  3 -> 26 [size =\"47156224\"]\n  3 -> 27 [size =\"47156224\"]\n  4 [size=\"91716267\", alpha=\"0.18\", expect_size=\"27514880\"] \n  4 -> 25 [size =\"27514880\"]\n  4 -> 26 [size =\"27514880\"]\n  4 -> 29 [size =\"27514880\"]\n  5 [size=\"170356053\", alpha=\"0.19\", expect_size=\"51106816\"] \n  5 -> 26 [size =\"51106816\"]\n  6 [size=\"97542827\", alpha=\"0.13\", expect_size=\"29262848\"] \n  6 -> 29 [size =\"29262848\"]\n  6 -> 30 [size =\"29262848\"]\n  7 [size=\"55439360\", alpha=\"0.14\", expect_size=\"16631808\"] \n  7 -> 25 [size =\"16631808\"]\n  7 -> 27 [size =\"16631808\"]\n  7 -> 28 [size =\"16631808\"]\n  8 [size=\"173578240\", alpha=\"0.01\", expect_size=\"52073472\"] \n  8 -> 26 [size =\"52073472\"]\n  8 -> 27 [size =\"52073472\"]\n  9 [size=\"160180907\", alpha=\"0.05\", expect_size=\"48054272\"] \n  9 -> 26 [size =\"48054272\"]\n  9 -> 27 [size =\"48054272\"]\n  9 -> 29 [size =\"48054272\"]\n  10 [size=\"149790720\", alpha=\"0.18\", expect_size=\"44937216\"] \n  10 -> 26 [size =\"44937216\"]\n  11 [size=\"29706240\", alpha=\"0.04\", expect_size=\"8911872\"] \n  11 -> 28 [size =\"8911872\"]\n  12 [size=\"164276907\", alpha=\"0.02\", expect_size=\"49283072\"] \n  12 -> 29 [size =\"49283072\"]\n  13 [size=\"150067200\", alpha=\"0.14\", expect_size=\"45020160\"] \n  13 -> 26 [size =\"45020160\"]\n  13 -> 28 [size =\"45020160\"]\n  13 -> 29 [size =\"45020160\"]\n  14 [size=\"68915200\", alpha=\"0.11\", expect_size=\"20674560\"] \n  14 -> 26 [size =\"20674560\"]\n  14 -> 27 [size =\"20674560\"]\n  14 -> 29 [size =\"20674560\"]\n  15 [size=\"56224427\", alpha=\"0.15\", expect_size=\"16867328\"] \n  15 -> 25 [size =\"16867328\"]\n  15 -> 26 [size =\"16867328\"]\n  15 -> 29 [size =\"16867328\"]\n  16 [size=\"45905920\", alpha=\"0.02\", expect_size=\"13771776\"] \n  16 -> 25 [size =\"13771776\"]\n  16 -> 26 [size =\"13771776\"]\n  16 -> 29 [size =\"13771776\"]\n  17 [size=\"147933867\", alpha=\"0.09\", expect_size=\"44380160\"] \n  17 -> 26 [size =\"44380160\"]\n  17 -> 27 [size =\"44380160\"]\n  17 -> 29 [size =\"44380160\"]\n  18 [size=\"102686720\", alpha=\"0.00\", expect_size=\"30806016\"] \n  18 -> 25 [size =\"30806016\"]\n  18 -> 29 [size =\"30806016\"]\n  19 [size=\"111762773\", alpha=\"0.04\", expect_size=\"33528832\"] \n  19 -> 25 [size =\"33528832\"]\n  19 -> 26 [size =\"33528832\"]\n  19 -> 29 [size =\"33528832\"]\n  19 -> 30 [size =\"33528832\"]\n  20 [size=\"152664747\", alpha=\"0.08\", expect_size=\"45799424\"] \n  20 -> 25 [size =\"45799424\"]\n  20 -> 26 [size =\"45799424\"]\n  21 [size=\"137666560\", alpha=\"0.12\", expect_size=\"41299968\"] \n  21 -> 25 [size =\"41299968\"]\n  21 -> 26 [size =\"41299968\"]\n  21 -> 28 [size =\"41299968\"]\n  21 -> 29 [size =\"41299968\"]\n  22 [size=\"169171627\", alpha=\"0.04\", expect_size=\"50751488\"] \n  22 -> 25 [size =\"50751488\"]\n  22 -> 26 [size =\"50751488\"]\n  23 [size=\"29900800\", alpha=\"0.13\", expect_size=\"8970240\"] \n  23 -> 26 [size =\"8970240\"]\n  23 -> 27 [size =\"8970240\"]\n  23 -> 28 [size =\"8970240\"]\n  24 [size=\"136731307\", alpha=\"0.12\", expect_size=\"41019392\"] \n  24 -> 25 [size =\"41019392\"]\n  24 -> 27 [size =\"41019392\"]\n  24 -> 28 [size =\"41019392\"]\n  25 [size=\"65638400\", alpha=\"0.10\", expect_size=\"19691520\"] \n  26 [size=\"22698667\", alpha=\"0.19\", expect_size=\"6809600\"] \n  27 [size=\"34908160\", alpha=\"0.12\", expect_size=\"10472448\"] \n  28 [size=\"102652587\", alpha=\"0.05\", expect_size=\"30795776\"] \n  29 [size=\"104727893\", alpha=\"0.17\", expect_size=\"31418368\"] \n  30 [size=\"136564053\", alpha=\"0.05\", expect_size=\"40969216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20275200\", alpha=\"0.02\", expect_size=\"10137600\"] \n  1 -> 11 [size =\"10137600\"]\n  1 -> 12 [size =\"10137600\"]\n  1 -> 15 [size =\"10137600\"]\n  1 -> 18 [size =\"10137600\"]\n  1 -> 19 [size =\"10137600\"]\n  2 [size=\"40531968\", alpha=\"0.19\", expect_size=\"20265984\"] \n  2 -> 11 [size =\"20265984\"]\n  2 -> 12 [size =\"20265984\"]\n  2 -> 14 [size =\"20265984\"]\n  2 -> 19 [size =\"20265984\"]\n  3 [size=\"69300224\", alpha=\"0.18\", expect_size=\"34650112\"] \n  3 -> 12 [size =\"34650112\"]\n  3 -> 14 [size =\"34650112\"]\n  3 -> 15 [size =\"34650112\"]\n  3 -> 17 [size =\"34650112\"]\n  4 [size=\"104194048\", alpha=\"0.16\", expect_size=\"52097024\"] \n  4 -> 17 [size =\"52097024\"]\n  5 [size=\"46958592\", alpha=\"0.12\", expect_size=\"23479296\"] \n  5 -> 12 [size =\"23479296\"]\n  5 -> 13 [size =\"23479296\"]\n  5 -> 14 [size =\"23479296\"]\n  5 -> 18 [size =\"23479296\"]\n  5 -> 19 [size =\"23479296\"]\n  6 [size=\"95477760\", alpha=\"0.06\", expect_size=\"47738880\"] \n  6 -> 18 [size =\"47738880\"]\n  7 [size=\"75448320\", alpha=\"0.02\", expect_size=\"37724160\"] \n  7 -> 11 [size =\"37724160\"]\n  7 -> 17 [size =\"37724160\"]\n  8 [size=\"49156096\", alpha=\"0.15\", expect_size=\"24578048\"] \n  8 -> 10 [size =\"24578048\"]\n  8 -> 11 [size =\"24578048\"]\n  8 -> 16 [size =\"24578048\"]\n  8 -> 17 [size =\"24578048\"]\n  8 -> 19 [size =\"24578048\"]\n  9 [size=\"104413184\", alpha=\"0.14\", expect_size=\"52206592\"] \n  9 -> 14 [size =\"52206592\"]\n  9 -> 16 [size =\"52206592\"]\n  10 [size=\"46868480\", alpha=\"0.06\", expect_size=\"23434240\"] \n  10 -> 22 [size =\"23434240\"]\n  11 [size=\"27877376\", alpha=\"0.07\", expect_size=\"13938688\"] \n  11 -> 22 [size =\"13938688\"]\n  11 -> 27 [size =\"13938688\"]\n  11 -> 28 [size =\"13938688\"]\n  12 [size=\"36638720\", alpha=\"0.06\", expect_size=\"18319360\"] \n  12 -> 26 [size =\"18319360\"]\n  13 [size=\"33269760\", alpha=\"0.01\", expect_size=\"16634880\"] \n  13 -> 20 [size =\"16634880\"]\n  13 -> 21 [size =\"16634880\"]\n  13 -> 27 [size =\"16634880\"]\n  14 [size=\"22867968\", alpha=\"0.09\", expect_size=\"11433984\"] \n  14 -> 22 [size =\"11433984\"]\n  14 -> 23 [size =\"11433984\"]\n  14 -> 25 [size =\"11433984\"]\n  14 -> 29 [size =\"11433984\"]\n  15 [size=\"100075520\", alpha=\"0.15\", expect_size=\"50037760\"] \n  15 -> 20 [size =\"50037760\"]\n  15 -> 22 [size =\"50037760\"]\n  15 -> 24 [size =\"50037760\"]\n  15 -> 28 [size =\"50037760\"]\n  15 -> 29 [size =\"50037760\"]\n  16 [size=\"64212992\", alpha=\"0.15\", expect_size=\"32106496\"] \n  16 -> 22 [size =\"32106496\"]\n  16 -> 23 [size =\"32106496\"]\n  16 -> 29 [size =\"32106496\"]\n  17 [size=\"94160896\", alpha=\"0.08\", expect_size=\"47080448\"] \n  17 -> 20 [size =\"47080448\"]\n  17 -> 21 [size =\"47080448\"]\n  17 -> 29 [size =\"47080448\"]\n  18 [size=\"11139072\", alpha=\"0.11\", expect_size=\"5569536\"] \n  18 -> 24 [size =\"5569536\"]\n  18 -> 29 [size =\"5569536\"]\n  19 [size=\"83748864\", alpha=\"0.01\", expect_size=\"41874432\"] \n  19 -> 23 [size =\"41874432\"]\n  19 -> 25 [size =\"41874432\"]\n  19 -> 27 [size =\"41874432\"]\n  20 [size=\"55560192\", alpha=\"0.03\", expect_size=\"27780096\"] \n  21 [size=\"82862080\", alpha=\"0.07\", expect_size=\"41431040\"] \n  22 [size=\"19826688\", alpha=\"0.18\", expect_size=\"9913344\"] \n  23 [size=\"48480256\", alpha=\"0.01\", expect_size=\"24240128\"] \n  24 [size=\"51798016\", alpha=\"0.04\", expect_size=\"25899008\"] \n  25 [size=\"96452608\", alpha=\"0.15\", expect_size=\"48226304\"] \n  26 [size=\"71616512\", alpha=\"0.04\", expect_size=\"35808256\"] \n  27 [size=\"45719552\", alpha=\"0.06\", expect_size=\"22859776\"] \n  28 [size=\"83361792\", alpha=\"0.17\", expect_size=\"41680896\"] \n  29 [size=\"39829504\", alpha=\"0.08\", expect_size=\"19914752\"] \n  29 -> 30 [size =\"19914752\"]\n  30 [size=\"42254336\", alpha=\"0.06\", expect_size=\"21127168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81845760\", alpha=\"0.01\", expect_size=\"32738304\"] \n  1 -> 3 [size =\"32738304\"]\n  2 [size=\"54981120\", alpha=\"0.13\", expect_size=\"21992448\"] \n  3 [size=\"91481600\", alpha=\"0.08\", expect_size=\"36592640\"] \n  3 -> 4 [size =\"36592640\"]\n  4 [size=\"44766720\", alpha=\"0.12\", expect_size=\"17906688\"] \n  4 -> 5 [size =\"17906688\"]\n  5 [size=\"96135680\", alpha=\"0.02\", expect_size=\"38454272\"] \n  5 -> 6 [size =\"38454272\"]\n  6 [size=\"14827520\", alpha=\"0.13\", expect_size=\"5931008\"] \n  6 -> 7 [size =\"5931008\"]\n  7 [size=\"89013760\", alpha=\"0.14\", expect_size=\"35605504\"] \n  7 -> 8 [size =\"35605504\"]\n  8 [size=\"52070400\", alpha=\"0.13\", expect_size=\"20828160\"] \n  8 -> 9 [size =\"20828160\"]\n  8 -> 10 [size =\"20828160\"]\n  9 [size=\"79313920\", alpha=\"0.08\", expect_size=\"31725568\"] \n  9 -> 11 [size =\"31725568\"]\n  9 -> 12 [size =\"31725568\"]\n  10 [size=\"20213760\", alpha=\"0.11\", expect_size=\"8085504\"] \n  11 [size=\"128412160\", alpha=\"0.19\", expect_size=\"51364864\"] \n  11 -> 13 [size =\"51364864\"]\n  11 -> 14 [size =\"51364864\"]\n  12 [size=\"18647040\", alpha=\"0.00\", expect_size=\"7458816\"] \n  13 [size=\"95183360\", alpha=\"0.12\", expect_size=\"38073344\"] \n  13 -> 15 [size =\"38073344\"]\n  14 [size=\"26731520\", alpha=\"0.13\", expect_size=\"10692608\"] \n  14 -> 16 [size =\"10692608\"]\n  15 [size=\"98764800\", alpha=\"0.04\", expect_size=\"39505920\"] \n  15 -> 17 [size =\"39505920\"]\n  16 [size=\"109626880\", alpha=\"0.12\", expect_size=\"43850752\"] \n  17 [size=\"70832640\", alpha=\"0.13\", expect_size=\"28333056\"] \n  17 -> 18 [size =\"28333056\"]\n  17 -> 19 [size =\"28333056\"]\n  18 [size=\"38072320\", alpha=\"0.16\", expect_size=\"15228928\"] \n  19 [size=\"113382400\", alpha=\"0.04\", expect_size=\"45352960\"] \n  19 -> 20 [size =\"45352960\"]\n  20 [size=\"45488640\", alpha=\"0.16\", expect_size=\"18195456\"] \n  20 -> 21 [size =\"18195456\"]\n  20 -> 22 [size =\"18195456\"]\n  21 [size=\"110420480\", alpha=\"0.20\", expect_size=\"44168192\"] \n  21 -> 23 [size =\"44168192\"]\n  22 [size=\"105328640\", alpha=\"0.11\", expect_size=\"42131456\"] \n  23 [size=\"105925120\", alpha=\"0.15\", expect_size=\"42370048\"] \n  23 -> 24 [size =\"42370048\"]\n  24 [size=\"59456000\", alpha=\"0.05\", expect_size=\"23782400\"] \n  24 -> 25 [size =\"23782400\"]\n  24 -> 26 [size =\"23782400\"]\n  25 [size=\"19048960\", alpha=\"0.08\", expect_size=\"7619584\"] \n  25 -> 27 [size =\"7619584\"]\n  26 [size=\"39918080\", alpha=\"0.12\", expect_size=\"15967232\"] \n  27 [size=\"110732800\", alpha=\"0.09\", expect_size=\"44293120\"] \n  27 -> 28 [size =\"44293120\"]\n  28 [size=\"70676480\", alpha=\"0.12\", expect_size=\"28270592\"] \n  28 -> 29 [size =\"28270592\"]\n  29 [size=\"48322560\", alpha=\"0.07\", expect_size=\"19329024\"] \n  29 -> 30 [size =\"19329024\"]\n  30 [size=\"72192000\", alpha=\"0.03\", expect_size=\"28876800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29484373\", alpha=\"0.08\", expect_size=\"8845312\"] \n  1 -> 14 [size =\"8845312\"]\n  1 -> 15 [size =\"8845312\"]\n  1 -> 16 [size =\"8845312\"]\n  1 -> 17 [size =\"8845312\"]\n  2 [size=\"22736213\", alpha=\"0.04\", expect_size=\"6820864\"] \n  2 -> 14 [size =\"6820864\"]\n  2 -> 16 [size =\"6820864\"]\n  2 -> 16 [size =\"6820864\"]\n  2 -> 17 [size =\"6820864\"]\n  2 -> 20 [size =\"6820864\"]\n  3 [size=\"64471040\", alpha=\"0.08\", expect_size=\"19341312\"] \n  3 -> 14 [size =\"19341312\"]\n  3 -> 17 [size =\"19341312\"]\n  4 [size=\"94535680\", alpha=\"0.08\", expect_size=\"28360704\"] \n  4 -> 15 [size =\"28360704\"]\n  4 -> 16 [size =\"28360704\"]\n  4 -> 17 [size =\"28360704\"]\n  5 [size=\"119801173\", alpha=\"0.16\", expect_size=\"35940352\"] \n  5 -> 17 [size =\"35940352\"]\n  5 -> 20 [size =\"35940352\"]\n  6 [size=\"78144853\", alpha=\"0.15\", expect_size=\"23443456\"] \n  6 -> 14 [size =\"23443456\"]\n  6 -> 16 [size =\"23443456\"]\n  6 -> 17 [size =\"23443456\"]\n  6 -> 19 [size =\"23443456\"]\n  7 [size=\"100191573\", alpha=\"0.03\", expect_size=\"30057472\"] \n  7 -> 14 [size =\"30057472\"]\n  7 -> 15 [size =\"30057472\"]\n  7 -> 17 [size =\"30057472\"]\n  7 -> 18 [size =\"30057472\"]\n  7 -> 19 [size =\"30057472\"]\n  8 [size=\"100642133\", alpha=\"0.19\", expect_size=\"30192640\"] \n  8 -> 14 [size =\"30192640\"]\n  8 -> 18 [size =\"30192640\"]\n  8 -> 19 [size =\"30192640\"]\n  9 [size=\"102365867\", alpha=\"0.15\", expect_size=\"30709760\"] \n  9 -> 14 [size =\"30709760\"]\n  9 -> 19 [size =\"30709760\"]\n  9 -> 19 [size =\"30709760\"]\n  10 [size=\"119954773\", alpha=\"0.00\", expect_size=\"35986432\"] \n  10 -> 14 [size =\"35986432\"]\n  10 -> 19 [size =\"35986432\"]\n  10 -> 20 [size =\"35986432\"]\n  11 [size=\"87866027\", alpha=\"0.07\", expect_size=\"26359808\"] \n  11 -> 16 [size =\"26359808\"]\n  11 -> 19 [size =\"26359808\"]\n  12 [size=\"154398720\", alpha=\"0.07\", expect_size=\"46319616\"] \n  12 -> 15 [size =\"46319616\"]\n  12 -> 19 [size =\"46319616\"]\n  13 [size=\"27009707\", alpha=\"0.10\", expect_size=\"8102912\"] \n  13 -> 17 [size =\"8102912\"]\n  13 -> 19 [size =\"8102912\"]\n  13 -> 20 [size =\"8102912\"]\n  14 [size=\"86022827\", alpha=\"0.14\", expect_size=\"25806848\"] \n  14 -> 29 [size =\"25806848\"]\n  14 -> 30 [size =\"25806848\"]\n  15 [size=\"148920320\", alpha=\"0.16\", expect_size=\"44676096\"] \n  15 -> 21 [size =\"44676096\"]\n  15 -> 22 [size =\"44676096\"]\n  15 -> 24 [size =\"44676096\"]\n  15 -> 27 [size =\"44676096\"]\n  15 -> 30 [size =\"44676096\"]\n  16 [size=\"119910400\", alpha=\"0.07\", expect_size=\"35973120\"] \n  16 -> 21 [size =\"35973120\"]\n  16 -> 22 [size =\"35973120\"]\n  16 -> 23 [size =\"35973120\"]\n  16 -> 26 [size =\"35973120\"]\n  17 [size=\"84090880\", alpha=\"0.17\", expect_size=\"25227264\"] \n  17 -> 25 [size =\"25227264\"]\n  17 -> 27 [size =\"25227264\"]\n  18 [size=\"107830613\", alpha=\"0.13\", expect_size=\"32349184\"] \n  18 -> 21 [size =\"32349184\"]\n  18 -> 22 [size =\"32349184\"]\n  18 -> 25 [size =\"32349184\"]\n  18 -> 26 [size =\"32349184\"]\n  18 -> 28 [size =\"32349184\"]\n  18 -> 30 [size =\"32349184\"]\n  19 [size=\"103270400\", alpha=\"0.00\", expect_size=\"30981120\"] \n  19 -> 21 [size =\"30981120\"]\n  19 -> 23 [size =\"30981120\"]\n  19 -> 25 [size =\"30981120\"]\n  19 -> 26 [size =\"30981120\"]\n  19 -> 29 [size =\"30981120\"]\n  19 -> 30 [size =\"30981120\"]\n  20 [size=\"61300053\", alpha=\"0.04\", expect_size=\"18390016\"] \n  20 -> 26 [size =\"18390016\"]\n  20 -> 28 [size =\"18390016\"]\n  20 -> 29 [size =\"18390016\"]\n  20 -> 30 [size =\"18390016\"]\n  21 [size=\"63057920\", alpha=\"0.09\", expect_size=\"18917376\"] \n  22 [size=\"117975040\", alpha=\"0.15\", expect_size=\"35392512\"] \n  23 [size=\"172305067\", alpha=\"0.07\", expect_size=\"51691520\"] \n  24 [size=\"94255787\", alpha=\"0.08\", expect_size=\"28276736\"] \n  25 [size=\"47148373\", alpha=\"0.03\", expect_size=\"14144512\"] \n  26 [size=\"174445227\", alpha=\"0.05\", expect_size=\"52333568\"] \n  27 [size=\"72574293\", alpha=\"0.18\", expect_size=\"21772288\"] \n  28 [size=\"48329387\", alpha=\"0.01\", expect_size=\"14498816\"] \n  29 [size=\"152978773\", alpha=\"0.15\", expect_size=\"45893632\"] \n  30 [size=\"156351147\", alpha=\"0.02\", expect_size=\"46905344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159109120\", alpha=\"0.04\", expect_size=\"47732736\"] \n  1 -> 23 [size =\"47732736\"]\n  1 -> 25 [size =\"47732736\"]\n  2 [size=\"74659840\", alpha=\"0.02\", expect_size=\"22397952\"] \n  2 -> 23 [size =\"22397952\"]\n  2 -> 28 [size =\"22397952\"]\n  3 [size=\"143240533\", alpha=\"0.03\", expect_size=\"42972160\"] \n  3 -> 23 [size =\"42972160\"]\n  3 -> 28 [size =\"42972160\"]\n  4 [size=\"127109120\", alpha=\"0.16\", expect_size=\"38132736\"] \n  4 -> 22 [size =\"38132736\"]\n  4 -> 23 [size =\"38132736\"]\n  4 -> 30 [size =\"38132736\"]\n  5 [size=\"155965440\", alpha=\"0.09\", expect_size=\"46789632\"] \n  6 [size=\"71055360\", alpha=\"0.07\", expect_size=\"21316608\"] \n  6 -> 26 [size =\"21316608\"]\n  6 -> 29 [size =\"21316608\"]\n  6 -> 30 [size =\"21316608\"]\n  7 [size=\"82350080\", alpha=\"0.18\", expect_size=\"24705024\"] \n  7 -> 25 [size =\"24705024\"]\n  7 -> 26 [size =\"24705024\"]\n  8 [size=\"78394027\", alpha=\"0.15\", expect_size=\"23518208\"] \n  8 -> 22 [size =\"23518208\"]\n  9 [size=\"77714773\", alpha=\"0.11\", expect_size=\"23314432\"] \n  9 -> 22 [size =\"23314432\"]\n  9 -> 23 [size =\"23314432\"]\n  9 -> 25 [size =\"23314432\"]\n  9 -> 29 [size =\"23314432\"]\n  10 [size=\"72710827\", alpha=\"0.01\", expect_size=\"21813248\"] \n  10 -> 22 [size =\"21813248\"]\n  10 -> 29 [size =\"21813248\"]\n  11 [size=\"88688640\", alpha=\"0.06\", expect_size=\"26606592\"] \n  11 -> 22 [size =\"26606592\"]\n  11 -> 23 [size =\"26606592\"]\n  12 [size=\"120603307\", alpha=\"0.01\", expect_size=\"36180992\"] \n  12 -> 22 [size =\"36180992\"]\n  12 -> 23 [size =\"36180992\"]\n  12 -> 26 [size =\"36180992\"]\n  13 [size=\"133584213\", alpha=\"0.10\", expect_size=\"40075264\"] \n  13 -> 23 [size =\"40075264\"]\n  13 -> 25 [size =\"40075264\"]\n  14 [size=\"160761173\", alpha=\"0.06\", expect_size=\"48228352\"] \n  15 [size=\"128508587\", alpha=\"0.07\", expect_size=\"38552576\"] \n  15 -> 24 [size =\"38552576\"]\n  16 [size=\"44485973\", alpha=\"0.03\", expect_size=\"13345792\"] \n  16 -> 27 [size =\"13345792\"]\n  17 [size=\"101010773\", alpha=\"0.05\", expect_size=\"30303232\"] \n  17 -> 23 [size =\"30303232\"]\n  17 -> 24 [size =\"30303232\"]\n  17 -> 27 [size =\"30303232\"]\n  17 -> 30 [size =\"30303232\"]\n  18 [size=\"83824640\", alpha=\"0.05\", expect_size=\"25147392\"] \n  18 -> 22 [size =\"25147392\"]\n  18 -> 26 [size =\"25147392\"]\n  18 -> 28 [size =\"25147392\"]\n  19 [size=\"47394133\", alpha=\"0.13\", expect_size=\"14218240\"] \n  19 -> 28 [size =\"14218240\"]\n  20 [size=\"130761387\", alpha=\"0.11\", expect_size=\"39228416\"] \n  20 -> 23 [size =\"39228416\"]\n  20 -> 27 [size =\"39228416\"]\n  21 [size=\"141240320\", alpha=\"0.07\", expect_size=\"42372096\"] \n  21 -> 22 [size =\"42372096\"]\n  21 -> 23 [size =\"42372096\"]\n  21 -> 24 [size =\"42372096\"]\n  21 -> 25 [size =\"42372096\"]\n  21 -> 26 [size =\"42372096\"]\n  22 [size=\"28218027\", alpha=\"0.10\", expect_size=\"8465408\"] \n  23 [size=\"33720320\", alpha=\"0.08\", expect_size=\"10116096\"] \n  24 [size=\"112527360\", alpha=\"0.01\", expect_size=\"33758208\"] \n  25 [size=\"158347947\", alpha=\"0.12\", expect_size=\"47504384\"] \n  26 [size=\"57483947\", alpha=\"0.09\", expect_size=\"17245184\"] \n  27 [size=\"77663573\", alpha=\"0.14\", expect_size=\"23299072\"] \n  28 [size=\"118541653\", alpha=\"0.08\", expect_size=\"35562496\"] \n  29 [size=\"157044053\", alpha=\"0.08\", expect_size=\"47113216\"] \n  30 [size=\"105468587\", alpha=\"0.16\", expect_size=\"31640576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64436224\", alpha=\"0.20\", expect_size=\"32218112\"] \n  1 -> 11 [size =\"32218112\"]\n  2 [size=\"74031104\", alpha=\"0.03\", expect_size=\"37015552\"] \n  2 -> 13 [size =\"37015552\"]\n  2 -> 14 [size =\"37015552\"]\n  2 -> 15 [size =\"37015552\"]\n  2 -> 17 [size =\"37015552\"]\n  3 [size=\"28665856\", alpha=\"0.12\", expect_size=\"14332928\"] \n  3 -> 10 [size =\"14332928\"]\n  3 -> 11 [size =\"14332928\"]\n  3 -> 14 [size =\"14332928\"]\n  3 -> 16 [size =\"14332928\"]\n  3 -> 17 [size =\"14332928\"]\n  4 [size=\"48193536\", alpha=\"0.20\", expect_size=\"24096768\"] \n  4 -> 10 [size =\"24096768\"]\n  4 -> 12 [size =\"24096768\"]\n  4 -> 17 [size =\"24096768\"]\n  5 [size=\"88846336\", alpha=\"0.13\", expect_size=\"44423168\"] \n  5 -> 10 [size =\"44423168\"]\n  5 -> 12 [size =\"44423168\"]\n  5 -> 15 [size =\"44423168\"]\n  5 -> 17 [size =\"44423168\"]\n  6 [size=\"27918336\", alpha=\"0.15\", expect_size=\"13959168\"] \n  6 -> 9 [size =\"13959168\"]\n  6 -> 10 [size =\"13959168\"]\n  6 -> 14 [size =\"13959168\"]\n  7 [size=\"38649856\", alpha=\"0.19\", expect_size=\"19324928\"] \n  7 -> 12 [size =\"19324928\"]\n  7 -> 13 [size =\"19324928\"]\n  8 [size=\"79345664\", alpha=\"0.07\", expect_size=\"39672832\"] \n  8 -> 15 [size =\"39672832\"]\n  9 [size=\"31102976\", alpha=\"0.02\", expect_size=\"15551488\"] \n  9 -> 19 [size =\"15551488\"]\n  9 -> 21 [size =\"15551488\"]\n  10 [size=\"55097344\", alpha=\"0.03\", expect_size=\"27548672\"] \n  10 -> 18 [size =\"27548672\"]\n  10 -> 19 [size =\"27548672\"]\n  10 -> 20 [size =\"27548672\"]\n  10 -> 23 [size =\"27548672\"]\n  11 [size=\"88711168\", alpha=\"0.09\", expect_size=\"44355584\"] \n  11 -> 24 [size =\"44355584\"]\n  12 [size=\"86550528\", alpha=\"0.07\", expect_size=\"43275264\"] \n  12 -> 24 [size =\"43275264\"]\n  13 [size=\"99510272\", alpha=\"0.17\", expect_size=\"49755136\"] \n  13 -> 21 [size =\"49755136\"]\n  14 [size=\"61325312\", alpha=\"0.05\", expect_size=\"30662656\"] \n  14 -> 19 [size =\"30662656\"]\n  14 -> 22 [size =\"30662656\"]\n  15 [size=\"60360704\", alpha=\"0.02\", expect_size=\"30180352\"] \n  15 -> 18 [size =\"30180352\"]\n  15 -> 19 [size =\"30180352\"]\n  15 -> 20 [size =\"30180352\"]\n  16 [size=\"28274688\", alpha=\"0.13\", expect_size=\"14137344\"] \n  16 -> 20 [size =\"14137344\"]\n  16 -> 21 [size =\"14137344\"]\n  17 [size=\"98584576\", alpha=\"0.06\", expect_size=\"49292288\"] \n  17 -> 19 [size =\"49292288\"]\n  17 -> 21 [size =\"49292288\"]\n  17 -> 24 [size =\"49292288\"]\n  18 [size=\"93892608\", alpha=\"0.12\", expect_size=\"46946304\"] \n  18 -> 25 [size =\"46946304\"]\n  19 [size=\"30271488\", alpha=\"0.02\", expect_size=\"15135744\"] \n  19 -> 25 [size =\"15135744\"]\n  19 -> 29 [size =\"15135744\"]\n  19 -> 30 [size =\"15135744\"]\n  20 [size=\"41672704\", alpha=\"0.00\", expect_size=\"20836352\"] \n  20 -> 28 [size =\"20836352\"]\n  21 [size=\"53788672\", alpha=\"0.10\", expect_size=\"26894336\"] \n  21 -> 27 [size =\"26894336\"]\n  21 -> 29 [size =\"26894336\"]\n  22 [size=\"94902272\", alpha=\"0.13\", expect_size=\"47451136\"] \n  22 -> 26 [size =\"47451136\"]\n  22 -> 28 [size =\"47451136\"]\n  23 [size=\"33435648\", alpha=\"0.00\", expect_size=\"16717824\"] \n  23 -> 25 [size =\"16717824\"]\n  23 -> 28 [size =\"16717824\"]\n  24 [size=\"21379072\", alpha=\"0.15\", expect_size=\"10689536\"] \n  24 -> 29 [size =\"10689536\"]\n  25 [size=\"43945984\", alpha=\"0.07\", expect_size=\"21972992\"] \n  26 [size=\"54507520\", alpha=\"0.02\", expect_size=\"27253760\"] \n  27 [size=\"23664640\", alpha=\"0.03\", expect_size=\"11832320\"] \n  28 [size=\"52664320\", alpha=\"0.19\", expect_size=\"26332160\"] \n  29 [size=\"16326656\", alpha=\"0.19\", expect_size=\"8163328\"] \n  30 [size=\"25720832\", alpha=\"0.09\", expect_size=\"12860416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42369024\", alpha=\"0.17\", expect_size=\"21184512\"] \n  1 -> 3 [size =\"21184512\"]\n  2 [size=\"47390720\", alpha=\"0.04\", expect_size=\"23695360\"] \n  3 [size=\"28907520\", alpha=\"0.02\", expect_size=\"14453760\"] \n  3 -> 4 [size =\"14453760\"]\n  3 -> 5 [size =\"14453760\"]\n  4 [size=\"41388032\", alpha=\"0.07\", expect_size=\"20694016\"] \n  4 -> 6 [size =\"20694016\"]\n  5 [size=\"98807808\", alpha=\"0.06\", expect_size=\"49403904\"] \n  5 -> 6 [size =\"49403904\"]\n  6 [size=\"74637312\", alpha=\"0.11\", expect_size=\"37318656\"] \n  6 -> 7 [size =\"37318656\"]\n  6 -> 8 [size =\"37318656\"]\n  7 [size=\"29163520\", alpha=\"0.15\", expect_size=\"14581760\"] \n  7 -> 9 [size =\"14581760\"]\n  7 -> 10 [size =\"14581760\"]\n  8 [size=\"61315072\", alpha=\"0.05\", expect_size=\"30657536\"] \n  8 -> 10 [size =\"30657536\"]\n  9 [size=\"93626368\", alpha=\"0.09\", expect_size=\"46813184\"] \n  10 [size=\"83472384\", alpha=\"0.19\", expect_size=\"41736192\"] \n  10 -> 11 [size =\"41736192\"]\n  11 [size=\"54751232\", alpha=\"0.02\", expect_size=\"27375616\"] \n  11 -> 12 [size =\"27375616\"]\n  12 [size=\"41953280\", alpha=\"0.16\", expect_size=\"20976640\"] \n  12 -> 13 [size =\"20976640\"]\n  12 -> 14 [size =\"20976640\"]\n  13 [size=\"62068736\", alpha=\"0.14\", expect_size=\"31034368\"] \n  13 -> 15 [size =\"31034368\"]\n  14 [size=\"71108608\", alpha=\"0.11\", expect_size=\"35554304\"] \n  15 [size=\"103886848\", alpha=\"0.17\", expect_size=\"51943424\"] \n  15 -> 16 [size =\"51943424\"]\n  16 [size=\"36261888\", alpha=\"0.08\", expect_size=\"18130944\"] \n  16 -> 17 [size =\"18130944\"]\n  17 [size=\"87445504\", alpha=\"0.05\", expect_size=\"43722752\"] \n  17 -> 18 [size =\"43722752\"]\n  18 [size=\"63705088\", alpha=\"0.09\", expect_size=\"31852544\"] \n  18 -> 19 [size =\"31852544\"]\n  19 [size=\"86806528\", alpha=\"0.12\", expect_size=\"43403264\"] \n  19 -> 20 [size =\"43403264\"]\n  20 [size=\"33011712\", alpha=\"0.05\", expect_size=\"16505856\"] \n  20 -> 21 [size =\"16505856\"]\n  20 -> 22 [size =\"16505856\"]\n  21 [size=\"26224640\", alpha=\"0.04\", expect_size=\"13112320\"] \n  21 -> 23 [size =\"13112320\"]\n  22 [size=\"37496832\", alpha=\"0.12\", expect_size=\"18748416\"] \n  23 [size=\"17872896\", alpha=\"0.04\", expect_size=\"8936448\"] \n  23 -> 24 [size =\"8936448\"]\n  23 -> 25 [size =\"8936448\"]\n  24 [size=\"81700864\", alpha=\"0.02\", expect_size=\"40850432\"] \n  24 -> 27 [size =\"40850432\"]\n  25 [size=\"37074944\", alpha=\"0.18\", expect_size=\"18537472\"] \n  25 -> 26 [size =\"18537472\"]\n  26 [size=\"24705024\", alpha=\"0.09\", expect_size=\"12352512\"] \n  26 -> 28 [size =\"12352512\"]\n  27 [size=\"62763008\", alpha=\"0.03\", expect_size=\"31381504\"] \n  27 -> 28 [size =\"31381504\"]\n  28 [size=\"85080064\", alpha=\"0.08\", expect_size=\"42540032\"] \n  28 -> 29 [size =\"42540032\"]\n  28 -> 30 [size =\"42540032\"]\n  29 [size=\"33951744\", alpha=\"0.11\", expect_size=\"16975872\"] \n  30 [size=\"88481792\", alpha=\"0.09\", expect_size=\"44240896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27491840\", alpha=\"0.13\", expect_size=\"10996736\"] \n  1 -> 2 [size =\"10996736\"]\n  2 [size=\"30901760\", alpha=\"0.02\", expect_size=\"12360704\"] \n  2 -> 3 [size =\"12360704\"]\n  3 [size=\"42012160\", alpha=\"0.06\", expect_size=\"16804864\"] \n  3 -> 4 [size =\"16804864\"]\n  3 -> 5 [size =\"16804864\"]\n  4 [size=\"51663360\", alpha=\"0.18\", expect_size=\"20665344\"] \n  4 -> 6 [size =\"20665344\"]\n  5 [size=\"29148160\", alpha=\"0.07\", expect_size=\"11659264\"] \n  5 -> 7 [size =\"11659264\"]\n  6 [size=\"130017280\", alpha=\"0.16\", expect_size=\"52006912\"] \n  6 -> 8 [size =\"52006912\"]\n  7 [size=\"39470080\", alpha=\"0.10\", expect_size=\"15788032\"] \n  8 [size=\"52318720\", alpha=\"0.17\", expect_size=\"20927488\"] \n  8 -> 9 [size =\"20927488\"]\n  9 [size=\"118315520\", alpha=\"0.16\", expect_size=\"47326208\"] \n  9 -> 10 [size =\"47326208\"]\n  9 -> 11 [size =\"47326208\"]\n  10 [size=\"39900160\", alpha=\"0.05\", expect_size=\"15960064\"] \n  10 -> 12 [size =\"15960064\"]\n  11 [size=\"53283840\", alpha=\"0.12\", expect_size=\"21313536\"] \n  12 [size=\"130112000\", alpha=\"0.15\", expect_size=\"52044800\"] \n  12 -> 13 [size =\"52044800\"]\n  13 [size=\"23196160\", alpha=\"0.06\", expect_size=\"9278464\"] \n  13 -> 14 [size =\"9278464\"]\n  14 [size=\"56471040\", alpha=\"0.02\", expect_size=\"22588416\"] \n  14 -> 15 [size =\"22588416\"]\n  15 [size=\"46963200\", alpha=\"0.02\", expect_size=\"18785280\"] \n  15 -> 16 [size =\"18785280\"]\n  15 -> 17 [size =\"18785280\"]\n  16 [size=\"87234560\", alpha=\"0.05\", expect_size=\"34893824\"] \n  17 [size=\"65802240\", alpha=\"0.11\", expect_size=\"26320896\"] \n  17 -> 18 [size =\"26320896\"]\n  18 [size=\"127137280\", alpha=\"0.04\", expect_size=\"50854912\"] \n  18 -> 19 [size =\"50854912\"]\n  19 [size=\"109378560\", alpha=\"0.06\", expect_size=\"43751424\"] \n  19 -> 20 [size =\"43751424\"]\n  20 [size=\"83883520\", alpha=\"0.04\", expect_size=\"33553408\"] \n  20 -> 21 [size =\"33553408\"]\n  20 -> 22 [size =\"33553408\"]\n  21 [size=\"113111040\", alpha=\"0.05\", expect_size=\"45244416\"] \n  22 [size=\"68144640\", alpha=\"0.09\", expect_size=\"27257856\"] \n  22 -> 23 [size =\"27257856\"]\n  23 [size=\"36239360\", alpha=\"0.18\", expect_size=\"14495744\"] \n  23 -> 24 [size =\"14495744\"]\n  23 -> 25 [size =\"14495744\"]\n  24 [size=\"73738240\", alpha=\"0.13\", expect_size=\"29495296\"] \n  25 [size=\"88478720\", alpha=\"0.12\", expect_size=\"35391488\"] \n  25 -> 26 [size =\"35391488\"]\n  26 [size=\"103029760\", alpha=\"0.10\", expect_size=\"41211904\"] \n  26 -> 27 [size =\"41211904\"]\n  26 -> 28 [size =\"41211904\"]\n  27 [size=\"15464960\", alpha=\"0.12\", expect_size=\"6185984\"] \n  28 [size=\"82058240\", alpha=\"0.01\", expect_size=\"32823296\"] \n  28 -> 29 [size =\"32823296\"]\n  29 [size=\"106391040\", alpha=\"0.08\", expect_size=\"42556416\"] \n  29 -> 30 [size =\"42556416\"]\n  30 [size=\"21460480\", alpha=\"0.20\", expect_size=\"8584192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63889408\", alpha=\"0.07\", expect_size=\"31944704\"] \n  2 [size=\"40884224\", alpha=\"0.01\", expect_size=\"20442112\"] \n  2 -> 3 [size =\"20442112\"]\n  2 -> 4 [size =\"20442112\"]\n  3 [size=\"56875008\", alpha=\"0.07\", expect_size=\"28437504\"] \n  4 [size=\"39526400\", alpha=\"0.05\", expect_size=\"19763200\"] \n  4 -> 5 [size =\"19763200\"]\n  5 [size=\"69818368\", alpha=\"0.19\", expect_size=\"34909184\"] \n  5 -> 6 [size =\"34909184\"]\n  6 [size=\"82030592\", alpha=\"0.18\", expect_size=\"41015296\"] \n  6 -> 7 [size =\"41015296\"]\n  6 -> 8 [size =\"41015296\"]\n  7 [size=\"57747456\", alpha=\"0.13\", expect_size=\"28873728\"] \n  7 -> 9 [size =\"28873728\"]\n  8 [size=\"104116224\", alpha=\"0.17\", expect_size=\"52058112\"] \n  9 [size=\"39233536\", alpha=\"0.15\", expect_size=\"19616768\"] \n  9 -> 10 [size =\"19616768\"]\n  10 [size=\"34885632\", alpha=\"0.08\", expect_size=\"17442816\"] \n  10 -> 11 [size =\"17442816\"]\n  10 -> 12 [size =\"17442816\"]\n  11 [size=\"81184768\", alpha=\"0.09\", expect_size=\"40592384\"] \n  11 -> 13 [size =\"40592384\"]\n  11 -> 14 [size =\"40592384\"]\n  12 [size=\"20377600\", alpha=\"0.11\", expect_size=\"10188800\"] \n  13 [size=\"26107904\", alpha=\"0.16\", expect_size=\"13053952\"] \n  13 -> 15 [size =\"13053952\"]\n  14 [size=\"60252160\", alpha=\"0.00\", expect_size=\"30126080\"] \n  14 -> 15 [size =\"30126080\"]\n  15 [size=\"85583872\", alpha=\"0.09\", expect_size=\"42791936\"] \n  15 -> 16 [size =\"42791936\"]\n  15 -> 17 [size =\"42791936\"]\n  16 [size=\"80314368\", alpha=\"0.01\", expect_size=\"40157184\"] \n  16 -> 18 [size =\"40157184\"]\n  17 [size=\"69713920\", alpha=\"0.16\", expect_size=\"34856960\"] \n  18 [size=\"35483648\", alpha=\"0.11\", expect_size=\"17741824\"] \n  18 -> 19 [size =\"17741824\"]\n  19 [size=\"21118976\", alpha=\"0.10\", expect_size=\"10559488\"] \n  19 -> 20 [size =\"10559488\"]\n  20 [size=\"93624320\", alpha=\"0.16\", expect_size=\"46812160\"] \n  20 -> 21 [size =\"46812160\"]\n  21 [size=\"39337984\", alpha=\"0.14\", expect_size=\"19668992\"] \n  21 -> 22 [size =\"19668992\"]\n  22 [size=\"80953344\", alpha=\"0.18\", expect_size=\"40476672\"] \n  22 -> 23 [size =\"40476672\"]\n  22 -> 24 [size =\"40476672\"]\n  23 [size=\"38246400\", alpha=\"0.11\", expect_size=\"19123200\"] \n  23 -> 25 [size =\"19123200\"]\n  24 [size=\"21454848\", alpha=\"0.11\", expect_size=\"10727424\"] \n  24 -> 26 [size =\"10727424\"]\n  25 [size=\"21524480\", alpha=\"0.03\", expect_size=\"10762240\"] \n  25 -> 27 [size =\"10762240\"]\n  26 [size=\"64522240\", alpha=\"0.11\", expect_size=\"32261120\"] \n  26 -> 27 [size =\"32261120\"]\n  27 [size=\"69488640\", alpha=\"0.09\", expect_size=\"34744320\"] \n  27 -> 28 [size =\"34744320\"]\n  27 -> 29 [size =\"34744320\"]\n  28 [size=\"49999872\", alpha=\"0.06\", expect_size=\"24999936\"] \n  28 -> 30 [size =\"24999936\"]\n  29 [size=\"100530176\", alpha=\"0.09\", expect_size=\"50265088\"] \n  30 [size=\"55429120\", alpha=\"0.18\", expect_size=\"27714560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108707840\", alpha=\"0.15\", expect_size=\"32612352\"] \n  1 -> 2 [size =\"32612352\"]\n  2 [size=\"19735893\", alpha=\"0.16\", expect_size=\"5920768\"] \n  2 -> 3 [size =\"5920768\"]\n  3 [size=\"111056213\", alpha=\"0.17\", expect_size=\"33316864\"] \n  3 -> 4 [size =\"33316864\"]\n  4 [size=\"168471893\", alpha=\"0.03\", expect_size=\"50541568\"] \n  4 -> 5 [size =\"50541568\"]\n  5 [size=\"141509973\", alpha=\"0.09\", expect_size=\"42452992\"] \n  5 -> 6 [size =\"42452992\"]\n  6 [size=\"111878827\", alpha=\"0.15\", expect_size=\"33563648\"] \n  6 -> 7 [size =\"33563648\"]\n  7 [size=\"33433600\", alpha=\"0.05\", expect_size=\"10030080\"] \n  7 -> 8 [size =\"10030080\"]\n  8 [size=\"136847360\", alpha=\"0.04\", expect_size=\"41054208\"] \n  8 -> 9 [size =\"41054208\"]\n  9 [size=\"77704533\", alpha=\"0.16\", expect_size=\"23311360\"] \n  9 -> 10 [size =\"23311360\"]\n  10 [size=\"158071467\", alpha=\"0.16\", expect_size=\"47421440\"] \n  10 -> 11 [size =\"47421440\"]\n  11 [size=\"83452587\", alpha=\"0.08\", expect_size=\"25035776\"] \n  11 -> 12 [size =\"25035776\"]\n  12 [size=\"46438400\", alpha=\"0.09\", expect_size=\"13931520\"] \n  12 -> 13 [size =\"13931520\"]\n  13 [size=\"17483093\", alpha=\"0.07\", expect_size=\"5244928\"] \n  13 -> 14 [size =\"5244928\"]\n  14 [size=\"152470187\", alpha=\"0.02\", expect_size=\"45741056\"] \n  14 -> 15 [size =\"45741056\"]\n  15 [size=\"174039040\", alpha=\"0.13\", expect_size=\"52211712\"] \n  15 -> 16 [size =\"52211712\"]\n  16 [size=\"89644373\", alpha=\"0.17\", expect_size=\"26893312\"] \n  16 -> 17 [size =\"26893312\"]\n  17 [size=\"52162560\", alpha=\"0.06\", expect_size=\"15648768\"] \n  17 -> 18 [size =\"15648768\"]\n  18 [size=\"92934827\", alpha=\"0.09\", expect_size=\"27880448\"] \n  18 -> 19 [size =\"27880448\"]\n  19 [size=\"124672000\", alpha=\"0.19\", expect_size=\"37401600\"] \n  19 -> 20 [size =\"37401600\"]\n  20 [size=\"91907413\", alpha=\"0.06\", expect_size=\"27572224\"] \n  20 -> 21 [size =\"27572224\"]\n  21 [size=\"57463467\", alpha=\"0.05\", expect_size=\"17239040\"] \n  21 -> 22 [size =\"17239040\"]\n  22 [size=\"119924053\", alpha=\"0.05\", expect_size=\"35977216\"] \n  22 -> 23 [size =\"35977216\"]\n  23 [size=\"31334400\", alpha=\"0.16\", expect_size=\"9400320\"] \n  23 -> 24 [size =\"9400320\"]\n  24 [size=\"86265173\", alpha=\"0.07\", expect_size=\"25879552\"] \n  24 -> 25 [size =\"25879552\"]\n  25 [size=\"99710293\", alpha=\"0.13\", expect_size=\"29913088\"] \n  25 -> 26 [size =\"29913088\"]\n  26 [size=\"42810027\", alpha=\"0.11\", expect_size=\"12843008\"] \n  26 -> 27 [size =\"12843008\"]\n  27 [size=\"22435840\", alpha=\"0.11\", expect_size=\"6730752\"] \n  27 -> 28 [size =\"6730752\"]\n  28 [size=\"73362773\", alpha=\"0.07\", expect_size=\"22008832\"] \n  28 -> 29 [size =\"22008832\"]\n  29 [size=\"147974827\", alpha=\"0.10\", expect_size=\"44392448\"] \n  29 -> 30 [size =\"44392448\"]\n  30 [size=\"137598293\", alpha=\"0.11\", expect_size=\"41279488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86796800\", alpha=\"0.20\", expect_size=\"34718720\"] \n  1 -> 7 [size =\"34718720\"]\n  1 -> 8 [size =\"34718720\"]\n  2 [size=\"47152640\", alpha=\"0.12\", expect_size=\"18861056\"] \n  2 -> 7 [size =\"18861056\"]\n  3 [size=\"121500160\", alpha=\"0.02\", expect_size=\"48600064\"] \n  3 -> 7 [size =\"48600064\"]\n  4 [size=\"89579520\", alpha=\"0.12\", expect_size=\"35831808\"] \n  4 -> 5 [size =\"35831808\"]\n  4 -> 6 [size =\"35831808\"]\n  4 -> 7 [size =\"35831808\"]\n  4 -> 8 [size =\"35831808\"]\n  5 [size=\"49123840\", alpha=\"0.16\", expect_size=\"19649536\"] \n  5 -> 9 [size =\"19649536\"]\n  5 -> 11 [size =\"19649536\"]\n  6 [size=\"51924480\", alpha=\"0.05\", expect_size=\"20769792\"] \n  6 -> 9 [size =\"20769792\"]\n  7 [size=\"16104960\", alpha=\"0.16\", expect_size=\"6441984\"] \n  7 -> 9 [size =\"6441984\"]\n  7 -> 10 [size =\"6441984\"]\n  7 -> 12 [size =\"6441984\"]\n  8 [size=\"30384640\", alpha=\"0.05\", expect_size=\"12153856\"] \n  8 -> 9 [size =\"12153856\"]\n  8 -> 10 [size =\"12153856\"]\n  9 [size=\"70208000\", alpha=\"0.06\", expect_size=\"28083200\"] \n  9 -> 13 [size =\"28083200\"]\n  9 -> 15 [size =\"28083200\"]\n  9 -> 16 [size =\"28083200\"]\n  10 [size=\"76874240\", alpha=\"0.16\", expect_size=\"30749696\"] \n  10 -> 13 [size =\"30749696\"]\n  10 -> 14 [size =\"30749696\"]\n  11 [size=\"87042560\", alpha=\"0.16\", expect_size=\"34817024\"] \n  11 -> 13 [size =\"34817024\"]\n  11 -> 14 [size =\"34817024\"]\n  11 -> 16 [size =\"34817024\"]\n  12 [size=\"84974080\", alpha=\"0.19\", expect_size=\"33989632\"] \n  12 -> 15 [size =\"33989632\"]\n  12 -> 16 [size =\"33989632\"]\n  12 -> 16 [size =\"33989632\"]\n  13 [size=\"38538240\", alpha=\"0.14\", expect_size=\"15415296\"] \n  13 -> 18 [size =\"15415296\"]\n  13 -> 19 [size =\"15415296\"]\n  13 -> 20 [size =\"15415296\"]\n  14 [size=\"48373760\", alpha=\"0.04\", expect_size=\"19349504\"] \n  14 -> 17 [size =\"19349504\"]\n  14 -> 18 [size =\"19349504\"]\n  14 -> 19 [size =\"19349504\"]\n  14 -> 20 [size =\"19349504\"]\n  15 [size=\"117862400\", alpha=\"0.00\", expect_size=\"47144960\"] \n  15 -> 17 [size =\"47144960\"]\n  15 -> 18 [size =\"47144960\"]\n  15 -> 19 [size =\"47144960\"]\n  15 -> 20 [size =\"47144960\"]\n  15 -> 21 [size =\"47144960\"]\n  16 [size=\"92341760\", alpha=\"0.17\", expect_size=\"36936704\"] \n  16 -> 18 [size =\"36936704\"]\n  16 -> 20 [size =\"36936704\"]\n  17 [size=\"120867840\", alpha=\"0.05\", expect_size=\"48347136\"] \n  17 -> 23 [size =\"48347136\"]\n  17 -> 23 [size =\"48347136\"]\n  17 -> 24 [size =\"48347136\"]\n  17 -> 25 [size =\"48347136\"]\n  18 [size=\"94379520\", alpha=\"0.18\", expect_size=\"37751808\"] \n  18 -> 22 [size =\"37751808\"]\n  18 -> 23 [size =\"37751808\"]\n  18 -> 25 [size =\"37751808\"]\n  19 [size=\"126748160\", alpha=\"0.11\", expect_size=\"50699264\"] \n  19 -> 22 [size =\"50699264\"]\n  19 -> 23 [size =\"50699264\"]\n  19 -> 24 [size =\"50699264\"]\n  19 -> 25 [size =\"50699264\"]\n  20 [size=\"44968960\", alpha=\"0.03\", expect_size=\"17987584\"] \n  20 -> 22 [size =\"17987584\"]\n  20 -> 24 [size =\"17987584\"]\n  20 -> 24 [size =\"17987584\"]\n  20 -> 25 [size =\"17987584\"]\n  20 -> 26 [size =\"17987584\"]\n  21 [size=\"23787520\", alpha=\"0.07\", expect_size=\"9515008\"] \n  21 -> 22 [size =\"9515008\"]\n  21 -> 23 [size =\"9515008\"]\n  21 -> 24 [size =\"9515008\"]\n  21 -> 25 [size =\"9515008\"]\n  22 [size=\"116554240\", alpha=\"0.18\", expect_size=\"46621696\"] \n  22 -> 28 [size =\"46621696\"]\n  22 -> 28 [size =\"46621696\"]\n  22 -> 30 [size =\"46621696\"]\n  23 [size=\"107944960\", alpha=\"0.06\", expect_size=\"43177984\"] \n  23 -> 29 [size =\"43177984\"]\n  24 [size=\"73500160\", alpha=\"0.08\", expect_size=\"29400064\"] \n  24 -> 27 [size =\"29400064\"]\n  24 -> 28 [size =\"29400064\"]\n  25 [size=\"99645440\", alpha=\"0.15\", expect_size=\"39858176\"] \n  25 -> 28 [size =\"39858176\"]\n  26 [size=\"100221440\", alpha=\"0.10\", expect_size=\"40088576\"] \n  26 -> 27 [size =\"40088576\"]\n  26 -> 28 [size =\"40088576\"]\n  26 -> 30 [size =\"40088576\"]\n  27 [size=\"82396160\", alpha=\"0.04\", expect_size=\"32958464\"] \n  28 [size=\"112276480\", alpha=\"0.02\", expect_size=\"44910592\"] \n  29 [size=\"97638400\", alpha=\"0.09\", expect_size=\"39055360\"] \n  30 [size=\"45539840\", alpha=\"0.07\", expect_size=\"18215936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28276053\", alpha=\"0.03\", expect_size=\"8482816\"] \n  1 -> 5 [size =\"8482816\"]\n  1 -> 6 [size =\"8482816\"]\n  2 [size=\"173503147\", alpha=\"0.10\", expect_size=\"52050944\"] \n  2 -> 4 [size =\"52050944\"]\n  2 -> 6 [size =\"52050944\"]\n  3 [size=\"53207040\", alpha=\"0.16\", expect_size=\"15962112\"] \n  3 -> 7 [size =\"15962112\"]\n  4 [size=\"94610773\", alpha=\"0.06\", expect_size=\"28383232\"] \n  4 -> 8 [size =\"28383232\"]\n  4 -> 10 [size =\"28383232\"]\n  4 -> 11 [size =\"28383232\"]\n  5 [size=\"132549973\", alpha=\"0.01\", expect_size=\"39764992\"] \n  5 -> 8 [size =\"39764992\"]\n  5 -> 9 [size =\"39764992\"]\n  6 [size=\"121842347\", alpha=\"0.03\", expect_size=\"36552704\"] \n  6 -> 11 [size =\"36552704\"]\n  7 [size=\"116589227\", alpha=\"0.00\", expect_size=\"34976768\"] \n  7 -> 10 [size =\"34976768\"]\n  8 [size=\"165946027\", alpha=\"0.13\", expect_size=\"49783808\"] \n  8 -> 13 [size =\"49783808\"]\n  8 -> 16 [size =\"49783808\"]\n  9 [size=\"167389867\", alpha=\"0.19\", expect_size=\"50216960\"] \n  9 -> 15 [size =\"50216960\"]\n  10 [size=\"112397653\", alpha=\"0.16\", expect_size=\"33719296\"] \n  10 -> 12 [size =\"33719296\"]\n  11 [size=\"134662827\", alpha=\"0.16\", expect_size=\"40398848\"] \n  11 -> 12 [size =\"40398848\"]\n  11 -> 14 [size =\"40398848\"]\n  11 -> 16 [size =\"40398848\"]\n  12 [size=\"160139947\", alpha=\"0.07\", expect_size=\"48041984\"] \n  12 -> 20 [size =\"48041984\"]\n  12 -> 21 [size =\"48041984\"]\n  13 [size=\"81616213\", alpha=\"0.06\", expect_size=\"24484864\"] \n  13 -> 17 [size =\"24484864\"]\n  13 -> 18 [size =\"24484864\"]\n  14 [size=\"46632960\", alpha=\"0.01\", expect_size=\"13989888\"] \n  14 -> 17 [size =\"13989888\"]\n  14 -> 19 [size =\"13989888\"]\n  15 [size=\"93863253\", alpha=\"0.10\", expect_size=\"28158976\"] \n  15 -> 18 [size =\"28158976\"]\n  15 -> 21 [size =\"28158976\"]\n  16 [size=\"98218667\", alpha=\"0.04\", expect_size=\"29465600\"] \n  16 -> 17 [size =\"29465600\"]\n  16 -> 21 [size =\"29465600\"]\n  17 [size=\"119575893\", alpha=\"0.04\", expect_size=\"35872768\"] \n  17 -> 22 [size =\"35872768\"]\n  17 -> 23 [size =\"35872768\"]\n  17 -> 25 [size =\"35872768\"]\n  18 [size=\"121692160\", alpha=\"0.15\", expect_size=\"36507648\"] \n  18 -> 23 [size =\"36507648\"]\n  18 -> 27 [size =\"36507648\"]\n  19 [size=\"64276480\", alpha=\"0.10\", expect_size=\"19282944\"] \n  19 -> 23 [size =\"19282944\"]\n  19 -> 26 [size =\"19282944\"]\n  20 [size=\"55930880\", alpha=\"0.01\", expect_size=\"16779264\"] \n  20 -> 22 [size =\"16779264\"]\n  20 -> 24 [size =\"16779264\"]\n  21 [size=\"26989227\", alpha=\"0.14\", expect_size=\"8096768\"] \n  21 -> 24 [size =\"8096768\"]\n  21 -> 27 [size =\"8096768\"]\n  22 [size=\"155682133\", alpha=\"0.06\", expect_size=\"46704640\"] \n  22 -> 29 [size =\"46704640\"]\n  22 -> 30 [size =\"46704640\"]\n  23 [size=\"56695467\", alpha=\"0.03\", expect_size=\"17008640\"] \n  23 -> 30 [size =\"17008640\"]\n  24 [size=\"100403200\", alpha=\"0.10\", expect_size=\"30120960\"] \n  24 -> 28 [size =\"30120960\"]\n  25 [size=\"107216213\", alpha=\"0.12\", expect_size=\"32164864\"] \n  26 [size=\"31682560\", alpha=\"0.06\", expect_size=\"9504768\"] \n  27 [size=\"64935253\", alpha=\"0.14\", expect_size=\"19480576\"] \n  27 -> 29 [size =\"19480576\"]\n  28 [size=\"97662293\", alpha=\"0.20\", expect_size=\"29298688\"] \n  29 [size=\"54667947\", alpha=\"0.05\", expect_size=\"16400384\"] \n  30 [size=\"133621760\", alpha=\"0.02\", expect_size=\"40086528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25425920\", alpha=\"0.15\", expect_size=\"12712960\"] \n  1 -> 20 [size =\"12712960\"]\n  1 -> 26 [size =\"12712960\"]\n  1 -> 28 [size =\"12712960\"]\n  1 -> 29 [size =\"12712960\"]\n  2 [size=\"85749760\", alpha=\"0.00\", expect_size=\"42874880\"] \n  2 -> 20 [size =\"42874880\"]\n  2 -> 25 [size =\"42874880\"]\n  2 -> 28 [size =\"42874880\"]\n  2 -> 30 [size =\"42874880\"]\n  3 [size=\"58007552\", alpha=\"0.10\", expect_size=\"29003776\"] \n  3 -> 19 [size =\"29003776\"]\n  3 -> 20 [size =\"29003776\"]\n  3 -> 21 [size =\"29003776\"]\n  3 -> 22 [size =\"29003776\"]\n  3 -> 23 [size =\"29003776\"]\n  3 -> 24 [size =\"29003776\"]\n  3 -> 25 [size =\"29003776\"]\n  3 -> 29 [size =\"29003776\"]\n  3 -> 30 [size =\"29003776\"]\n  4 [size=\"38875136\", alpha=\"0.11\", expect_size=\"19437568\"] \n  4 -> 19 [size =\"19437568\"]\n  4 -> 20 [size =\"19437568\"]\n  4 -> 21 [size =\"19437568\"]\n  4 -> 26 [size =\"19437568\"]\n  5 [size=\"101179392\", alpha=\"0.16\", expect_size=\"50589696\"] \n  5 -> 19 [size =\"50589696\"]\n  5 -> 22 [size =\"50589696\"]\n  5 -> 24 [size =\"50589696\"]\n  5 -> 25 [size =\"50589696\"]\n  5 -> 28 [size =\"50589696\"]\n  6 [size=\"14671872\", alpha=\"0.20\", expect_size=\"7335936\"] \n  6 -> 19 [size =\"7335936\"]\n  6 -> 22 [size =\"7335936\"]\n  6 -> 24 [size =\"7335936\"]\n  7 [size=\"94849024\", alpha=\"0.03\", expect_size=\"47424512\"] \n  7 -> 19 [size =\"47424512\"]\n  7 -> 20 [size =\"47424512\"]\n  7 -> 21 [size =\"47424512\"]\n  7 -> 28 [size =\"47424512\"]\n  7 -> 30 [size =\"47424512\"]\n  8 [size=\"80680960\", alpha=\"0.11\", expect_size=\"40340480\"] \n  8 -> 19 [size =\"40340480\"]\n  8 -> 20 [size =\"40340480\"]\n  8 -> 25 [size =\"40340480\"]\n  8 -> 30 [size =\"40340480\"]\n  9 [size=\"89511936\", alpha=\"0.09\", expect_size=\"44755968\"] \n  9 -> 22 [size =\"44755968\"]\n  9 -> 24 [size =\"44755968\"]\n  9 -> 27 [size =\"44755968\"]\n  9 -> 29 [size =\"44755968\"]\n  10 [size=\"55898112\", alpha=\"0.16\", expect_size=\"27949056\"] \n  10 -> 19 [size =\"27949056\"]\n  10 -> 25 [size =\"27949056\"]\n  11 [size=\"14815232\", alpha=\"0.05\", expect_size=\"7407616\"] \n  11 -> 19 [size =\"7407616\"]\n  11 -> 20 [size =\"7407616\"]\n  11 -> 22 [size =\"7407616\"]\n  11 -> 25 [size =\"7407616\"]\n  11 -> 27 [size =\"7407616\"]\n  11 -> 29 [size =\"7407616\"]\n  12 [size=\"83335168\", alpha=\"0.18\", expect_size=\"41667584\"] \n  12 -> 25 [size =\"41667584\"]\n  12 -> 26 [size =\"41667584\"]\n  12 -> 27 [size =\"41667584\"]\n  12 -> 30 [size =\"41667584\"]\n  13 [size=\"83578880\", alpha=\"0.03\", expect_size=\"41789440\"] \n  13 -> 20 [size =\"41789440\"]\n  13 -> 22 [size =\"41789440\"]\n  13 -> 25 [size =\"41789440\"]\n  13 -> 27 [size =\"41789440\"]\n  13 -> 30 [size =\"41789440\"]\n  14 [size=\"37003264\", alpha=\"0.06\", expect_size=\"18501632\"] \n  14 -> 20 [size =\"18501632\"]\n  14 -> 23 [size =\"18501632\"]\n  14 -> 30 [size =\"18501632\"]\n  15 [size=\"86745088\", alpha=\"0.08\", expect_size=\"43372544\"] \n  15 -> 20 [size =\"43372544\"]\n  15 -> 22 [size =\"43372544\"]\n  15 -> 23 [size =\"43372544\"]\n  15 -> 26 [size =\"43372544\"]\n  15 -> 27 [size =\"43372544\"]\n  15 -> 28 [size =\"43372544\"]\n  16 [size=\"68130816\", alpha=\"0.13\", expect_size=\"34065408\"] \n  16 -> 24 [size =\"34065408\"]\n  16 -> 25 [size =\"34065408\"]\n  16 -> 26 [size =\"34065408\"]\n  16 -> 27 [size =\"34065408\"]\n  17 [size=\"66117632\", alpha=\"0.03\", expect_size=\"33058816\"] \n  17 -> 25 [size =\"33058816\"]\n  17 -> 30 [size =\"33058816\"]\n  18 [size=\"77981696\", alpha=\"0.04\", expect_size=\"38990848\"] \n  18 -> 21 [size =\"38990848\"]\n  18 -> 23 [size =\"38990848\"]\n  18 -> 25 [size =\"38990848\"]\n  18 -> 26 [size =\"38990848\"]\n  18 -> 28 [size =\"38990848\"]\n  18 -> 30 [size =\"38990848\"]\n  19 [size=\"33232896\", alpha=\"0.06\", expect_size=\"16616448\"] \n  20 [size=\"76341248\", alpha=\"0.04\", expect_size=\"38170624\"] \n  21 [size=\"59424768\", alpha=\"0.06\", expect_size=\"29712384\"] \n  22 [size=\"83943424\", alpha=\"0.04\", expect_size=\"41971712\"] \n  23 [size=\"74504192\", alpha=\"0.12\", expect_size=\"37252096\"] \n  24 [size=\"87597056\", alpha=\"0.05\", expect_size=\"43798528\"] \n  25 [size=\"23040000\", alpha=\"0.18\", expect_size=\"11520000\"] \n  26 [size=\"62791680\", alpha=\"0.12\", expect_size=\"31395840\"] \n  27 [size=\"31346688\", alpha=\"0.04\", expect_size=\"15673344\"] \n  28 [size=\"44429312\", alpha=\"0.11\", expect_size=\"22214656\"] \n  29 [size=\"62617600\", alpha=\"0.14\", expect_size=\"31308800\"] \n  30 [size=\"89769984\", alpha=\"0.07\", expect_size=\"44884992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23447552\", alpha=\"0.06\", expect_size=\"11723776\"] \n  1 -> 23 [size =\"11723776\"]\n  1 -> 24 [size =\"11723776\"]\n  1 -> 26 [size =\"11723776\"]\n  1 -> 30 [size =\"11723776\"]\n  2 [size=\"53405696\", alpha=\"0.14\", expect_size=\"26702848\"] \n  2 -> 23 [size =\"26702848\"]\n  2 -> 24 [size =\"26702848\"]\n  2 -> 26 [size =\"26702848\"]\n  2 -> 27 [size =\"26702848\"]\n  3 [size=\"17672192\", alpha=\"0.06\", expect_size=\"8836096\"] \n  3 -> 23 [size =\"8836096\"]\n  3 -> 24 [size =\"8836096\"]\n  3 -> 25 [size =\"8836096\"]\n  3 -> 26 [size =\"8836096\"]\n  3 -> 27 [size =\"8836096\"]\n  3 -> 28 [size =\"8836096\"]\n  3 -> 29 [size =\"8836096\"]\n  4 [size=\"54206464\", alpha=\"0.10\", expect_size=\"27103232\"] \n  4 -> 24 [size =\"27103232\"]\n  4 -> 24 [size =\"27103232\"]\n  4 -> 25 [size =\"27103232\"]\n  4 -> 26 [size =\"27103232\"]\n  4 -> 29 [size =\"27103232\"]\n  4 -> 30 [size =\"27103232\"]\n  5 [size=\"35278848\", alpha=\"0.10\", expect_size=\"17639424\"] \n  5 -> 25 [size =\"17639424\"]\n  5 -> 26 [size =\"17639424\"]\n  5 -> 27 [size =\"17639424\"]\n  5 -> 29 [size =\"17639424\"]\n  5 -> 30 [size =\"17639424\"]\n  6 [size=\"61470720\", alpha=\"0.03\", expect_size=\"30735360\"] \n  6 -> 26 [size =\"30735360\"]\n  6 -> 27 [size =\"30735360\"]\n  6 -> 27 [size =\"30735360\"]\n  6 -> 28 [size =\"30735360\"]\n  6 -> 29 [size =\"30735360\"]\n  7 [size=\"50649088\", alpha=\"0.05\", expect_size=\"25324544\"] \n  7 -> 23 [size =\"25324544\"]\n  7 -> 25 [size =\"25324544\"]\n  7 -> 27 [size =\"25324544\"]\n  7 -> 29 [size =\"25324544\"]\n  7 -> 29 [size =\"25324544\"]\n  8 [size=\"65538048\", alpha=\"0.20\", expect_size=\"32769024\"] \n  8 -> 23 [size =\"32769024\"]\n  8 -> 24 [size =\"32769024\"]\n  8 -> 25 [size =\"32769024\"]\n  8 -> 26 [size =\"32769024\"]\n  8 -> 27 [size =\"32769024\"]\n  8 -> 29 [size =\"32769024\"]\n  8 -> 30 [size =\"32769024\"]\n  9 [size=\"87920640\", alpha=\"0.17\", expect_size=\"43960320\"] \n  9 -> 23 [size =\"43960320\"]\n  9 -> 24 [size =\"43960320\"]\n  9 -> 25 [size =\"43960320\"]\n  9 -> 26 [size =\"43960320\"]\n  9 -> 27 [size =\"43960320\"]\n  9 -> 29 [size =\"43960320\"]\n  9 -> 30 [size =\"43960320\"]\n  10 [size=\"80922624\", alpha=\"0.08\", expect_size=\"40461312\"] \n  10 -> 23 [size =\"40461312\"]\n  10 -> 24 [size =\"40461312\"]\n  10 -> 26 [size =\"40461312\"]\n  10 -> 26 [size =\"40461312\"]\n  10 -> 27 [size =\"40461312\"]\n  10 -> 29 [size =\"40461312\"]\n  10 -> 30 [size =\"40461312\"]\n  11 [size=\"22933504\", alpha=\"0.12\", expect_size=\"11466752\"] \n  11 -> 23 [size =\"11466752\"]\n  11 -> 24 [size =\"11466752\"]\n  11 -> 26 [size =\"11466752\"]\n  11 -> 27 [size =\"11466752\"]\n  11 -> 29 [size =\"11466752\"]\n  11 -> 29 [size =\"11466752\"]\n  11 -> 30 [size =\"11466752\"]\n  12 [size=\"49408000\", alpha=\"0.08\", expect_size=\"24704000\"] \n  12 -> 24 [size =\"24704000\"]\n  12 -> 24 [size =\"24704000\"]\n  12 -> 26 [size =\"24704000\"]\n  12 -> 27 [size =\"24704000\"]\n  12 -> 28 [size =\"24704000\"]\n  12 -> 29 [size =\"24704000\"]\n  12 -> 30 [size =\"24704000\"]\n  13 [size=\"22468608\", alpha=\"0.01\", expect_size=\"11234304\"] \n  13 -> 24 [size =\"11234304\"]\n  13 -> 26 [size =\"11234304\"]\n  13 -> 26 [size =\"11234304\"]\n  13 -> 27 [size =\"11234304\"]\n  13 -> 29 [size =\"11234304\"]\n  13 -> 30 [size =\"11234304\"]\n  13 -> 30 [size =\"11234304\"]\n  14 [size=\"51499008\", alpha=\"0.09\", expect_size=\"25749504\"] \n  14 -> 24 [size =\"25749504\"]\n  14 -> 30 [size =\"25749504\"]\n  15 [size=\"100839424\", alpha=\"0.09\", expect_size=\"50419712\"] \n  15 -> 25 [size =\"50419712\"]\n  15 -> 27 [size =\"50419712\"]\n  15 -> 30 [size =\"50419712\"]\n  16 [size=\"54822912\", alpha=\"0.19\", expect_size=\"27411456\"] \n  16 -> 22 [size =\"27411456\"]\n  16 -> 23 [size =\"27411456\"]\n  16 -> 25 [size =\"27411456\"]\n  16 -> 26 [size =\"27411456\"]\n  16 -> 27 [size =\"27411456\"]\n  16 -> 28 [size =\"27411456\"]\n  16 -> 29 [size =\"27411456\"]\n  16 -> 30 [size =\"27411456\"]\n  17 [size=\"67145728\", alpha=\"0.17\", expect_size=\"33572864\"] \n  17 -> 25 [size =\"33572864\"]\n  17 -> 27 [size =\"33572864\"]\n  17 -> 29 [size =\"33572864\"]\n  18 [size=\"89522176\", alpha=\"0.01\", expect_size=\"44761088\"] \n  18 -> 26 [size =\"44761088\"]\n  18 -> 27 [size =\"44761088\"]\n  18 -> 29 [size =\"44761088\"]\n  18 -> 30 [size =\"44761088\"]\n  19 [size=\"88338432\", alpha=\"0.04\", expect_size=\"44169216\"] \n  19 -> 24 [size =\"44169216\"]\n  19 -> 26 [size =\"44169216\"]\n  19 -> 30 [size =\"44169216\"]\n  20 [size=\"72882176\", alpha=\"0.05\", expect_size=\"36441088\"] \n  20 -> 23 [size =\"36441088\"]\n  20 -> 26 [size =\"36441088\"]\n  20 -> 27 [size =\"36441088\"]\n  20 -> 28 [size =\"36441088\"]\n  20 -> 30 [size =\"36441088\"]\n  21 [size=\"15503360\", alpha=\"0.08\", expect_size=\"7751680\"] \n  21 -> 24 [size =\"7751680\"]\n  21 -> 26 [size =\"7751680\"]\n  21 -> 27 [size =\"7751680\"]\n  21 -> 29 [size =\"7751680\"]\n  22 [size=\"71227392\", alpha=\"0.20\", expect_size=\"35613696\"] \n  23 [size=\"14667776\", alpha=\"0.13\", expect_size=\"7333888\"] \n  24 [size=\"19838976\", alpha=\"0.16\", expect_size=\"9919488\"] \n  25 [size=\"63852544\", alpha=\"0.04\", expect_size=\"31926272\"] \n  26 [size=\"14020608\", alpha=\"0.03\", expect_size=\"7010304\"] \n  27 [size=\"103743488\", alpha=\"0.10\", expect_size=\"51871744\"] \n  28 [size=\"89251840\", alpha=\"0.10\", expect_size=\"44625920\"] \n  29 [size=\"94089216\", alpha=\"0.05\", expect_size=\"47044608\"] \n  30 [size=\"20633600\", alpha=\"0.15\", expect_size=\"10316800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134536533\", alpha=\"0.13\", expect_size=\"40360960\"] \n  1 -> 23 [size =\"40360960\"]\n  1 -> 25 [size =\"40360960\"]\n  1 -> 27 [size =\"40360960\"]\n  1 -> 28 [size =\"40360960\"]\n  2 [size=\"158791680\", alpha=\"0.16\", expect_size=\"47637504\"] \n  2 -> 23 [size =\"47637504\"]\n  2 -> 24 [size =\"47637504\"]\n  2 -> 27 [size =\"47637504\"]\n  2 -> 28 [size =\"47637504\"]\n  2 -> 30 [size =\"47637504\"]\n  3 [size=\"47301973\", alpha=\"0.17\", expect_size=\"14190592\"] \n  3 -> 24 [size =\"14190592\"]\n  3 -> 24 [size =\"14190592\"]\n  3 -> 25 [size =\"14190592\"]\n  3 -> 27 [size =\"14190592\"]\n  3 -> 28 [size =\"14190592\"]\n  4 [size=\"141742080\", alpha=\"0.13\", expect_size=\"42522624\"] \n  5 [size=\"56715947\", alpha=\"0.07\", expect_size=\"17014784\"] \n  5 -> 24 [size =\"17014784\"]\n  5 -> 26 [size =\"17014784\"]\n  6 [size=\"107591680\", alpha=\"0.09\", expect_size=\"32277504\"] \n  6 -> 24 [size =\"32277504\"]\n  6 -> 25 [size =\"32277504\"]\n  6 -> 27 [size =\"32277504\"]\n  6 -> 28 [size =\"32277504\"]\n  6 -> 29 [size =\"32277504\"]\n  6 -> 30 [size =\"32277504\"]\n  7 [size=\"29279573\", alpha=\"0.03\", expect_size=\"8783872\"] \n  7 -> 23 [size =\"8783872\"]\n  7 -> 24 [size =\"8783872\"]\n  7 -> 25 [size =\"8783872\"]\n  7 -> 27 [size =\"8783872\"]\n  7 -> 28 [size =\"8783872\"]\n  7 -> 30 [size =\"8783872\"]\n  8 [size=\"69526187\", alpha=\"0.19\", expect_size=\"20857856\"] \n  8 -> 24 [size =\"20857856\"]\n  8 -> 25 [size =\"20857856\"]\n  8 -> 26 [size =\"20857856\"]\n  8 -> 27 [size =\"20857856\"]\n  8 -> 30 [size =\"20857856\"]\n  9 [size=\"134795947\", alpha=\"0.00\", expect_size=\"40438784\"] \n  9 -> 24 [size =\"40438784\"]\n  9 -> 26 [size =\"40438784\"]\n  9 -> 27 [size =\"40438784\"]\n  9 -> 28 [size =\"40438784\"]\n  9 -> 30 [size =\"40438784\"]\n  10 [size=\"77294933\", alpha=\"0.16\", expect_size=\"23188480\"] \n  10 -> 28 [size =\"23188480\"]\n  11 [size=\"110622720\", alpha=\"0.12\", expect_size=\"33186816\"] \n  11 -> 23 [size =\"33186816\"]\n  11 -> 24 [size =\"33186816\"]\n  11 -> 26 [size =\"33186816\"]\n  11 -> 27 [size =\"33186816\"]\n  11 -> 28 [size =\"33186816\"]\n  12 [size=\"55354027\", alpha=\"0.13\", expect_size=\"16606208\"] \n  12 -> 23 [size =\"16606208\"]\n  12 -> 24 [size =\"16606208\"]\n  12 -> 27 [size =\"16606208\"]\n  13 [size=\"24572587\", alpha=\"0.20\", expect_size=\"7371776\"] \n  13 -> 23 [size =\"7371776\"]\n  13 -> 24 [size =\"7371776\"]\n  13 -> 27 [size =\"7371776\"]\n  13 -> 28 [size =\"7371776\"]\n  14 [size=\"154470400\", alpha=\"0.14\", expect_size=\"46341120\"] \n  14 -> 23 [size =\"46341120\"]\n  14 -> 24 [size =\"46341120\"]\n  14 -> 27 [size =\"46341120\"]\n  14 -> 30 [size =\"46341120\"]\n  15 [size=\"95515307\", alpha=\"0.02\", expect_size=\"28654592\"] \n  15 -> 23 [size =\"28654592\"]\n  15 -> 24 [size =\"28654592\"]\n  15 -> 25 [size =\"28654592\"]\n  15 -> 27 [size =\"28654592\"]\n  15 -> 28 [size =\"28654592\"]\n  15 -> 29 [size =\"28654592\"]\n  16 [size=\"154306560\", alpha=\"0.20\", expect_size=\"46291968\"] \n  16 -> 23 [size =\"46291968\"]\n  16 -> 24 [size =\"46291968\"]\n  16 -> 25 [size =\"46291968\"]\n  16 -> 26 [size =\"46291968\"]\n  16 -> 29 [size =\"46291968\"]\n  17 [size=\"68068693\", alpha=\"0.20\", expect_size=\"20420608\"] \n  17 -> 23 [size =\"20420608\"]\n  17 -> 24 [size =\"20420608\"]\n  17 -> 25 [size =\"20420608\"]\n  17 -> 26 [size =\"20420608\"]\n  17 -> 30 [size =\"20420608\"]\n  18 [size=\"89978880\", alpha=\"0.03\", expect_size=\"26993664\"] \n  18 -> 24 [size =\"26993664\"]\n  18 -> 24 [size =\"26993664\"]\n  18 -> 25 [size =\"26993664\"]\n  18 -> 27 [size =\"26993664\"]\n  18 -> 28 [size =\"26993664\"]\n  19 [size=\"80797013\", alpha=\"0.14\", expect_size=\"24239104\"] \n  19 -> 24 [size =\"24239104\"]\n  19 -> 28 [size =\"24239104\"]\n  19 -> 30 [size =\"24239104\"]\n  20 [size=\"83258027\", alpha=\"0.09\", expect_size=\"24977408\"] \n  20 -> 23 [size =\"24977408\"]\n  20 -> 24 [size =\"24977408\"]\n  20 -> 26 [size =\"24977408\"]\n  20 -> 30 [size =\"24977408\"]\n  21 [size=\"49732267\", alpha=\"0.19\", expect_size=\"14919680\"] \n  21 -> 23 [size =\"14919680\"]\n  21 -> 24 [size =\"14919680\"]\n  21 -> 26 [size =\"14919680\"]\n  21 -> 27 [size =\"14919680\"]\n  21 -> 30 [size =\"14919680\"]\n  22 [size=\"147886080\", alpha=\"0.07\", expect_size=\"44365824\"] \n  22 -> 23 [size =\"44365824\"]\n  22 -> 27 [size =\"44365824\"]\n  22 -> 30 [size =\"44365824\"]\n  23 [size=\"93583360\", alpha=\"0.18\", expect_size=\"28075008\"] \n  24 [size=\"89914027\", alpha=\"0.06\", expect_size=\"26974208\"] \n  25 [size=\"41058987\", alpha=\"0.18\", expect_size=\"12317696\"] \n  26 [size=\"58821973\", alpha=\"0.02\", expect_size=\"17646592\"] \n  27 [size=\"55237973\", alpha=\"0.07\", expect_size=\"16571392\"] \n  28 [size=\"52258133\", alpha=\"0.19\", expect_size=\"15677440\"] \n  29 [size=\"75141120\", alpha=\"0.06\", expect_size=\"22542336\"] \n  30 [size=\"29259093\", alpha=\"0.00\", expect_size=\"8777728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118796800\", alpha=\"0.20\", expect_size=\"47518720\"] \n  1 -> 5 [size =\"47518720\"]\n  1 -> 8 [size =\"47518720\"]\n  2 [size=\"113000960\", alpha=\"0.10\", expect_size=\"45200384\"] \n  2 -> 5 [size =\"45200384\"]\n  2 -> 7 [size =\"45200384\"]\n  2 -> 8 [size =\"45200384\"]\n  3 [size=\"99368960\", alpha=\"0.17\", expect_size=\"39747584\"] \n  3 -> 6 [size =\"39747584\"]\n  3 -> 7 [size =\"39747584\"]\n  4 [size=\"100416000\", alpha=\"0.05\", expect_size=\"40166400\"] \n  4 -> 5 [size =\"40166400\"]\n  4 -> 9 [size =\"40166400\"]\n  5 [size=\"105026560\", alpha=\"0.12\", expect_size=\"42010624\"] \n  5 -> 10 [size =\"42010624\"]\n  5 -> 13 [size =\"42010624\"]\n  6 [size=\"77939200\", alpha=\"0.03\", expect_size=\"31175680\"] \n  6 -> 11 [size =\"31175680\"]\n  7 [size=\"60981760\", alpha=\"0.09\", expect_size=\"24392704\"] \n  7 -> 10 [size =\"24392704\"]\n  7 -> 11 [size =\"24392704\"]\n  7 -> 13 [size =\"24392704\"]\n  8 [size=\"96550400\", alpha=\"0.20\", expect_size=\"38620160\"] \n  8 -> 10 [size =\"38620160\"]\n  8 -> 13 [size =\"38620160\"]\n  9 [size=\"36280320\", alpha=\"0.07\", expect_size=\"14512128\"] \n  9 -> 12 [size =\"14512128\"]\n  10 [size=\"92748800\", alpha=\"0.13\", expect_size=\"37099520\"] \n  10 -> 14 [size =\"37099520\"]\n  10 -> 16 [size =\"37099520\"]\n  11 [size=\"63746560\", alpha=\"0.19\", expect_size=\"25498624\"] \n  11 -> 15 [size =\"25498624\"]\n  12 [size=\"62894080\", alpha=\"0.12\", expect_size=\"25157632\"] \n  12 -> 16 [size =\"25157632\"]\n  12 -> 17 [size =\"25157632\"]\n  13 [size=\"123880960\", alpha=\"0.06\", expect_size=\"49552384\"] \n  13 -> 14 [size =\"49552384\"]\n  13 -> 17 [size =\"49552384\"]\n  14 [size=\"105546240\", alpha=\"0.08\", expect_size=\"42218496\"] \n  14 -> 21 [size =\"42218496\"]\n  15 [size=\"17395200\", alpha=\"0.03\", expect_size=\"6958080\"] \n  15 -> 18 [size =\"6958080\"]\n  15 -> 19 [size =\"6958080\"]\n  15 -> 20 [size =\"6958080\"]\n  16 [size=\"89879040\", alpha=\"0.14\", expect_size=\"35951616\"] \n  16 -> 22 [size =\"35951616\"]\n  17 [size=\"104739840\", alpha=\"0.08\", expect_size=\"41895936\"] \n  17 -> 18 [size =\"41895936\"]\n  17 -> 22 [size =\"41895936\"]\n  18 [size=\"40601600\", alpha=\"0.08\", expect_size=\"16240640\"] \n  18 -> 24 [size =\"16240640\"]\n  19 [size=\"38213120\", alpha=\"0.19\", expect_size=\"15285248\"] \n  19 -> 24 [size =\"15285248\"]\n  19 -> 25 [size =\"15285248\"]\n  20 [size=\"77066240\", alpha=\"0.00\", expect_size=\"30826496\"] \n  20 -> 23 [size =\"30826496\"]\n  20 -> 24 [size =\"30826496\"]\n  20 -> 25 [size =\"30826496\"]\n  21 [size=\"38090240\", alpha=\"0.19\", expect_size=\"15236096\"] \n  21 -> 25 [size =\"15236096\"]\n  21 -> 26 [size =\"15236096\"]\n  22 [size=\"34593280\", alpha=\"0.16\", expect_size=\"13837312\"] \n  22 -> 25 [size =\"13837312\"]\n  23 [size=\"103539200\", alpha=\"0.07\", expect_size=\"41415680\"] \n  23 -> 27 [size =\"41415680\"]\n  24 [size=\"23034880\", alpha=\"0.12\", expect_size=\"9213952\"] \n  25 [size=\"72540160\", alpha=\"0.13\", expect_size=\"29016064\"] \n  26 [size=\"89098240\", alpha=\"0.06\", expect_size=\"35639296\"] \n  26 -> 28 [size =\"35639296\"]\n  26 -> 29 [size =\"35639296\"]\n  26 -> 30 [size =\"35639296\"]\n  27 [size=\"55462400\", alpha=\"0.06\", expect_size=\"22184960\"] \n  28 [size=\"100551680\", alpha=\"0.00\", expect_size=\"40220672\"] \n  29 [size=\"28933120\", alpha=\"0.19\", expect_size=\"11573248\"] \n  30 [size=\"22159360\", alpha=\"0.11\", expect_size=\"8863744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50602667\", alpha=\"0.06\", expect_size=\"15180800\"] \n  1 -> 2 [size =\"15180800\"]\n  2 [size=\"28583253\", alpha=\"0.11\", expect_size=\"8574976\"] \n  2 -> 3 [size =\"8574976\"]\n  3 [size=\"148029440\", alpha=\"0.12\", expect_size=\"44408832\"] \n  3 -> 4 [size =\"44408832\"]\n  4 [size=\"126211413\", alpha=\"0.20\", expect_size=\"37863424\"] \n  4 -> 5 [size =\"37863424\"]\n  5 [size=\"39857493\", alpha=\"0.07\", expect_size=\"11957248\"] \n  5 -> 6 [size =\"11957248\"]\n  5 -> 7 [size =\"11957248\"]\n  6 [size=\"162099200\", alpha=\"0.07\", expect_size=\"48629760\"] \n  6 -> 8 [size =\"48629760\"]\n  7 [size=\"147343360\", alpha=\"0.14\", expect_size=\"44203008\"] \n  7 -> 8 [size =\"44203008\"]\n  8 [size=\"57893547\", alpha=\"0.01\", expect_size=\"17368064\"] \n  8 -> 9 [size =\"17368064\"]\n  8 -> 10 [size =\"17368064\"]\n  9 [size=\"90675200\", alpha=\"0.02\", expect_size=\"27202560\"] \n  9 -> 11 [size =\"27202560\"]\n  9 -> 12 [size =\"27202560\"]\n  10 [size=\"109738667\", alpha=\"0.14\", expect_size=\"32921600\"] \n  10 -> 11 [size =\"32921600\"]\n  10 -> 12 [size =\"32921600\"]\n  11 [size=\"86801067\", alpha=\"0.03\", expect_size=\"26040320\"] \n  11 -> 13 [size =\"26040320\"]\n  11 -> 14 [size =\"26040320\"]\n  12 [size=\"134502400\", alpha=\"0.10\", expect_size=\"40350720\"] \n  12 -> 14 [size =\"40350720\"]\n  13 [size=\"66990080\", alpha=\"0.08\", expect_size=\"20097024\"] \n  14 [size=\"164355413\", alpha=\"0.09\", expect_size=\"49306624\"] \n  14 -> 15 [size =\"49306624\"]\n  15 [size=\"161266347\", alpha=\"0.13\", expect_size=\"48379904\"] \n  15 -> 16 [size =\"48379904\"]\n  16 [size=\"60880213\", alpha=\"0.06\", expect_size=\"18264064\"] \n  16 -> 17 [size =\"18264064\"]\n  16 -> 18 [size =\"18264064\"]\n  17 [size=\"114711893\", alpha=\"0.12\", expect_size=\"34413568\"] \n  17 -> 19 [size =\"34413568\"]\n  18 [size=\"67741013\", alpha=\"0.15\", expect_size=\"20322304\"] \n  18 -> 19 [size =\"20322304\"]\n  19 [size=\"72185173\", alpha=\"0.13\", expect_size=\"21655552\"] \n  19 -> 20 [size =\"21655552\"]\n  20 [size=\"91398827\", alpha=\"0.03\", expect_size=\"27419648\"] \n  20 -> 21 [size =\"27419648\"]\n  20 -> 22 [size =\"27419648\"]\n  21 [size=\"46383787\", alpha=\"0.17\", expect_size=\"13915136\"] \n  21 -> 23 [size =\"13915136\"]\n  22 [size=\"70850560\", alpha=\"0.13\", expect_size=\"21255168\"] \n  22 -> 23 [size =\"21255168\"]\n  23 [size=\"150121813\", alpha=\"0.06\", expect_size=\"45036544\"] \n  23 -> 24 [size =\"45036544\"]\n  24 [size=\"52176213\", alpha=\"0.12\", expect_size=\"15652864\"] \n  24 -> 25 [size =\"15652864\"]\n  24 -> 26 [size =\"15652864\"]\n  25 [size=\"123368107\", alpha=\"0.01\", expect_size=\"37010432\"] \n  25 -> 27 [size =\"37010432\"]\n  25 -> 28 [size =\"37010432\"]\n  26 [size=\"67126613\", alpha=\"0.09\", expect_size=\"20137984\"] \n  26 -> 27 [size =\"20137984\"]\n  26 -> 28 [size =\"20137984\"]\n  27 [size=\"114800640\", alpha=\"0.13\", expect_size=\"34440192\"] \n  27 -> 30 [size =\"34440192\"]\n  28 [size=\"54964907\", alpha=\"0.02\", expect_size=\"16489472\"] \n  28 -> 29 [size =\"16489472\"]\n  28 -> 30 [size =\"16489472\"]\n  29 [size=\"172649813\", alpha=\"0.00\", expect_size=\"51794944\"] \n  30 [size=\"114742613\", alpha=\"0.11\", expect_size=\"34422784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15646720\", alpha=\"0.05\", expect_size=\"7823360\"] \n  1 -> 28 [size =\"7823360\"]\n  1 -> 29 [size =\"7823360\"]\n  2 [size=\"30959616\", alpha=\"0.11\", expect_size=\"15479808\"] \n  2 -> 29 [size =\"15479808\"]\n  3 [size=\"59078656\", alpha=\"0.18\", expect_size=\"29539328\"] \n  4 [size=\"34308096\", alpha=\"0.19\", expect_size=\"17154048\"] \n  4 -> 29 [size =\"17154048\"]\n  5 [size=\"75462656\", alpha=\"0.19\", expect_size=\"37731328\"] \n  6 [size=\"71462912\", alpha=\"0.08\", expect_size=\"35731456\"] \n  7 [size=\"57174016\", alpha=\"0.17\", expect_size=\"28587008\"] \n  7 -> 30 [size =\"28587008\"]\n  8 [size=\"61515776\", alpha=\"0.16\", expect_size=\"30757888\"] \n  8 -> 27 [size =\"30757888\"]\n  8 -> 30 [size =\"30757888\"]\n  9 [size=\"103424000\", alpha=\"0.01\", expect_size=\"51712000\"] \n  9 -> 28 [size =\"51712000\"]\n  9 -> 29 [size =\"51712000\"]\n  10 [size=\"33177600\", alpha=\"0.19\", expect_size=\"16588800\"] \n  10 -> 29 [size =\"16588800\"]\n  10 -> 30 [size =\"16588800\"]\n  11 [size=\"97980416\", alpha=\"0.05\", expect_size=\"48990208\"] \n  11 -> 30 [size =\"48990208\"]\n  12 [size=\"27062272\", alpha=\"0.08\", expect_size=\"13531136\"] \n  13 [size=\"80812032\", alpha=\"0.15\", expect_size=\"40406016\"] \n  14 [size=\"69206016\", alpha=\"0.17\", expect_size=\"34603008\"] \n  14 -> 29 [size =\"34603008\"]\n  15 [size=\"62533632\", alpha=\"0.01\", expect_size=\"31266816\"] \n  16 [size=\"58370048\", alpha=\"0.11\", expect_size=\"29185024\"] \n  16 -> 29 [size =\"29185024\"]\n  17 [size=\"97439744\", alpha=\"0.07\", expect_size=\"48719872\"] \n  18 [size=\"82905088\", alpha=\"0.08\", expect_size=\"41452544\"] \n  18 -> 29 [size =\"41452544\"]\n  19 [size=\"64544768\", alpha=\"0.12\", expect_size=\"32272384\"] \n  20 [size=\"69873664\", alpha=\"0.00\", expect_size=\"34936832\"] \n  20 -> 29 [size =\"34936832\"]\n  21 [size=\"67506176\", alpha=\"0.10\", expect_size=\"33753088\"] \n  22 [size=\"89114624\", alpha=\"0.04\", expect_size=\"44557312\"] \n  23 [size=\"34484224\", alpha=\"0.08\", expect_size=\"17242112\"] \n  23 -> 28 [size =\"17242112\"]\n  24 [size=\"104812544\", alpha=\"0.17\", expect_size=\"52406272\"] \n  24 -> 27 [size =\"52406272\"]\n  24 -> 29 [size =\"52406272\"]\n  25 [size=\"91469824\", alpha=\"0.20\", expect_size=\"45734912\"] \n  26 [size=\"94402560\", alpha=\"0.16\", expect_size=\"47201280\"] \n  26 -> 29 [size =\"47201280\"]\n  26 -> 30 [size =\"47201280\"]\n  27 [size=\"51367936\", alpha=\"0.01\", expect_size=\"25683968\"] \n  28 [size=\"85358592\", alpha=\"0.18\", expect_size=\"42679296\"] \n  29 [size=\"27443200\", alpha=\"0.14\", expect_size=\"13721600\"] \n  30 [size=\"84320256\", alpha=\"0.15\", expect_size=\"42160128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22261760\", alpha=\"0.18\", expect_size=\"11130880\"] \n  1 -> 10 [size =\"11130880\"]\n  1 -> 12 [size =\"11130880\"]\n  1 -> 14 [size =\"11130880\"]\n  1 -> 15 [size =\"11130880\"]\n  2 [size=\"26456064\", alpha=\"0.10\", expect_size=\"13228032\"] \n  2 -> 12 [size =\"13228032\"]\n  2 -> 15 [size =\"13228032\"]\n  2 -> 17 [size =\"13228032\"]\n  3 [size=\"48918528\", alpha=\"0.09\", expect_size=\"24459264\"] \n  3 -> 10 [size =\"24459264\"]\n  3 -> 11 [size =\"24459264\"]\n  3 -> 12 [size =\"24459264\"]\n  3 -> 15 [size =\"24459264\"]\n  3 -> 17 [size =\"24459264\"]\n  3 -> 19 [size =\"24459264\"]\n  4 [size=\"62023680\", alpha=\"0.12\", expect_size=\"31011840\"] \n  4 -> 10 [size =\"31011840\"]\n  4 -> 11 [size =\"31011840\"]\n  4 -> 14 [size =\"31011840\"]\n  4 -> 15 [size =\"31011840\"]\n  4 -> 16 [size =\"31011840\"]\n  4 -> 17 [size =\"31011840\"]\n  4 -> 18 [size =\"31011840\"]\n  5 [size=\"42070016\", alpha=\"0.08\", expect_size=\"21035008\"] \n  5 -> 11 [size =\"21035008\"]\n  5 -> 12 [size =\"21035008\"]\n  5 -> 16 [size =\"21035008\"]\n  5 -> 17 [size =\"21035008\"]\n  5 -> 19 [size =\"21035008\"]\n  6 [size=\"34637824\", alpha=\"0.19\", expect_size=\"17318912\"] \n  6 -> 10 [size =\"17318912\"]\n  6 -> 15 [size =\"17318912\"]\n  6 -> 16 [size =\"17318912\"]\n  6 -> 19 [size =\"17318912\"]\n  7 [size=\"83435520\", alpha=\"0.00\", expect_size=\"41717760\"] \n  7 -> 11 [size =\"41717760\"]\n  7 -> 13 [size =\"41717760\"]\n  7 -> 14 [size =\"41717760\"]\n  7 -> 16 [size =\"41717760\"]\n  7 -> 18 [size =\"41717760\"]\n  7 -> 19 [size =\"41717760\"]\n  8 [size=\"37771264\", alpha=\"0.13\", expect_size=\"18885632\"] \n  8 -> 11 [size =\"18885632\"]\n  8 -> 14 [size =\"18885632\"]\n  8 -> 15 [size =\"18885632\"]\n  8 -> 17 [size =\"18885632\"]\n  8 -> 18 [size =\"18885632\"]\n  9 [size=\"36052992\", alpha=\"0.04\", expect_size=\"18026496\"] \n  9 -> 14 [size =\"18026496\"]\n  9 -> 16 [size =\"18026496\"]\n  9 -> 18 [size =\"18026496\"]\n  9 -> 19 [size =\"18026496\"]\n  10 [size=\"49287168\", alpha=\"0.07\", expect_size=\"24643584\"] \n  10 -> 28 [size =\"24643584\"]\n  11 [size=\"39870464\", alpha=\"0.00\", expect_size=\"19935232\"] \n  11 -> 25 [size =\"19935232\"]\n  11 -> 28 [size =\"19935232\"]\n  12 [size=\"32440320\", alpha=\"0.03\", expect_size=\"16220160\"] \n  12 -> 23 [size =\"16220160\"]\n  12 -> 27 [size =\"16220160\"]\n  12 -> 28 [size =\"16220160\"]\n  13 [size=\"79804416\", alpha=\"0.15\", expect_size=\"39902208\"] \n  13 -> 21 [size =\"39902208\"]\n  13 -> 23 [size =\"39902208\"]\n  13 -> 24 [size =\"39902208\"]\n  13 -> 26 [size =\"39902208\"]\n  13 -> 27 [size =\"39902208\"]\n  13 -> 28 [size =\"39902208\"]\n  14 [size=\"25643008\", alpha=\"0.18\", expect_size=\"12821504\"] \n  14 -> 27 [size =\"12821504\"]\n  14 -> 28 [size =\"12821504\"]\n  15 [size=\"82628608\", alpha=\"0.12\", expect_size=\"41314304\"] \n  15 -> 21 [size =\"41314304\"]\n  15 -> 24 [size =\"41314304\"]\n  15 -> 28 [size =\"41314304\"]\n  16 [size=\"27328512\", alpha=\"0.06\", expect_size=\"13664256\"] \n  16 -> 21 [size =\"13664256\"]\n  16 -> 22 [size =\"13664256\"]\n  16 -> 23 [size =\"13664256\"]\n  16 -> 25 [size =\"13664256\"]\n  17 [size=\"21891072\", alpha=\"0.02\", expect_size=\"10945536\"] \n  17 -> 22 [size =\"10945536\"]\n  17 -> 23 [size =\"10945536\"]\n  17 -> 25 [size =\"10945536\"]\n  17 -> 26 [size =\"10945536\"]\n  18 [size=\"22530048\", alpha=\"0.10\", expect_size=\"11265024\"] \n  18 -> 21 [size =\"11265024\"]\n  18 -> 22 [size =\"11265024\"]\n  18 -> 23 [size =\"11265024\"]\n  18 -> 25 [size =\"11265024\"]\n  18 -> 27 [size =\"11265024\"]\n  19 [size=\"82298880\", alpha=\"0.08\", expect_size=\"41149440\"] \n  19 -> 20 [size =\"41149440\"]\n  19 -> 23 [size =\"41149440\"]\n  19 -> 24 [size =\"41149440\"]\n  19 -> 28 [size =\"41149440\"]\n  20 [size=\"99371008\", alpha=\"0.17\", expect_size=\"49685504\"] \n  21 [size=\"37791744\", alpha=\"0.08\", expect_size=\"18895872\"] \n  21 -> 30 [size =\"18895872\"]\n  22 [size=\"39120896\", alpha=\"0.02\", expect_size=\"19560448\"] \n  22 -> 30 [size =\"19560448\"]\n  23 [size=\"53248000\", alpha=\"0.05\", expect_size=\"26624000\"] \n  23 -> 29 [size =\"26624000\"]\n  23 -> 30 [size =\"26624000\"]\n  24 [size=\"28497920\", alpha=\"0.18\", expect_size=\"14248960\"] \n  24 -> 29 [size =\"14248960\"]\n  25 [size=\"21301248\", alpha=\"0.18\", expect_size=\"10650624\"] \n  25 -> 30 [size =\"10650624\"]\n  26 [size=\"79403008\", alpha=\"0.04\", expect_size=\"39701504\"] \n  26 -> 29 [size =\"39701504\"]\n  26 -> 30 [size =\"39701504\"]\n  27 [size=\"11067392\", alpha=\"0.04\", expect_size=\"5533696\"] \n  27 -> 29 [size =\"5533696\"]\n  27 -> 30 [size =\"5533696\"]\n  28 [size=\"18984960\", alpha=\"0.11\", expect_size=\"9492480\"] \n  28 -> 29 [size =\"9492480\"]\n  29 [size=\"67889152\", alpha=\"0.03\", expect_size=\"33944576\"] \n  30 [size=\"13365248\", alpha=\"0.03\", expect_size=\"6682624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104102400\", alpha=\"0.20\", expect_size=\"41640960\"] \n  1 -> 29 [size =\"41640960\"]\n  2 [size=\"25792000\", alpha=\"0.15\", expect_size=\"10316800\"] \n  2 -> 26 [size =\"10316800\"]\n  3 [size=\"42076160\", alpha=\"0.18\", expect_size=\"16830464\"] \n  3 -> 23 [size =\"16830464\"]\n  3 -> 27 [size =\"16830464\"]\n  4 [size=\"120496640\", alpha=\"0.13\", expect_size=\"48198656\"] \n  4 -> 26 [size =\"48198656\"]\n  4 -> 29 [size =\"48198656\"]\n  4 -> 30 [size =\"48198656\"]\n  5 [size=\"91809280\", alpha=\"0.14\", expect_size=\"36723712\"] \n  5 -> 26 [size =\"36723712\"]\n  5 -> 27 [size =\"36723712\"]\n  5 -> 29 [size =\"36723712\"]\n  6 [size=\"38778880\", alpha=\"0.11\", expect_size=\"15511552\"] \n  6 -> 26 [size =\"15511552\"]\n  6 -> 28 [size =\"15511552\"]\n  6 -> 29 [size =\"15511552\"]\n  7 [size=\"48629760\", alpha=\"0.03\", expect_size=\"19451904\"] \n  7 -> 28 [size =\"19451904\"]\n  8 [size=\"77409280\", alpha=\"0.15\", expect_size=\"30963712\"] \n  8 -> 24 [size =\"30963712\"]\n  8 -> 25 [size =\"30963712\"]\n  8 -> 27 [size =\"30963712\"]\n  9 [size=\"54054400\", alpha=\"0.19\", expect_size=\"21621760\"] \n  9 -> 24 [size =\"21621760\"]\n  9 -> 25 [size =\"21621760\"]\n  9 -> 26 [size =\"21621760\"]\n  9 -> 28 [size =\"21621760\"]\n  10 [size=\"74792960\", alpha=\"0.16\", expect_size=\"29917184\"] \n  10 -> 23 [size =\"29917184\"]\n  10 -> 29 [size =\"29917184\"]\n  10 -> 30 [size =\"29917184\"]\n  11 [size=\"115299840\", alpha=\"0.17\", expect_size=\"46119936\"] \n  11 -> 28 [size =\"46119936\"]\n  11 -> 29 [size =\"46119936\"]\n  11 -> 30 [size =\"46119936\"]\n  12 [size=\"114091520\", alpha=\"0.10\", expect_size=\"45636608\"] \n  12 -> 27 [size =\"45636608\"]\n  12 -> 29 [size =\"45636608\"]\n  12 -> 30 [size =\"45636608\"]\n  13 [size=\"85255680\", alpha=\"0.03\", expect_size=\"34102272\"] \n  13 -> 29 [size =\"34102272\"]\n  14 [size=\"76021760\", alpha=\"0.08\", expect_size=\"30408704\"] \n  14 -> 23 [size =\"30408704\"]\n  14 -> 25 [size =\"30408704\"]\n  14 -> 26 [size =\"30408704\"]\n  15 [size=\"34068480\", alpha=\"0.08\", expect_size=\"13627392\"] \n  15 -> 23 [size =\"13627392\"]\n  15 -> 24 [size =\"13627392\"]\n  15 -> 28 [size =\"13627392\"]\n  16 [size=\"115658240\", alpha=\"0.14\", expect_size=\"46263296\"] \n  16 -> 23 [size =\"46263296\"]\n  16 -> 26 [size =\"46263296\"]\n  17 [size=\"65210880\", alpha=\"0.15\", expect_size=\"26084352\"] \n  17 -> 23 [size =\"26084352\"]\n  17 -> 24 [size =\"26084352\"]\n  17 -> 26 [size =\"26084352\"]\n  17 -> 28 [size =\"26084352\"]\n  17 -> 29 [size =\"26084352\"]\n  18 [size=\"85294080\", alpha=\"0.04\", expect_size=\"34117632\"] \n  18 -> 28 [size =\"34117632\"]\n  18 -> 29 [size =\"34117632\"]\n  19 [size=\"54397440\", alpha=\"0.05\", expect_size=\"21758976\"] \n  19 -> 24 [size =\"21758976\"]\n  19 -> 25 [size =\"21758976\"]\n  19 -> 28 [size =\"21758976\"]\n  20 [size=\"47905280\", alpha=\"0.13\", expect_size=\"19162112\"] \n  20 -> 23 [size =\"19162112\"]\n  20 -> 26 [size =\"19162112\"]\n  21 [size=\"24358400\", alpha=\"0.16\", expect_size=\"9743360\"] \n  21 -> 23 [size =\"9743360\"]\n  21 -> 26 [size =\"9743360\"]\n  22 [size=\"123353600\", alpha=\"0.02\", expect_size=\"49341440\"] \n  22 -> 23 [size =\"49341440\"]\n  22 -> 25 [size =\"49341440\"]\n  22 -> 29 [size =\"49341440\"]\n  23 [size=\"62100480\", alpha=\"0.13\", expect_size=\"24840192\"] \n  24 [size=\"79813120\", alpha=\"0.02\", expect_size=\"31925248\"] \n  25 [size=\"124277760\", alpha=\"0.04\", expect_size=\"49711104\"] \n  26 [size=\"53271040\", alpha=\"0.11\", expect_size=\"21308416\"] \n  27 [size=\"17472000\", alpha=\"0.03\", expect_size=\"6988800\"] \n  28 [size=\"105400320\", alpha=\"0.07\", expect_size=\"42160128\"] \n  29 [size=\"130091520\", alpha=\"0.17\", expect_size=\"52036608\"] \n  30 [size=\"39429120\", alpha=\"0.18\", expect_size=\"15771648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99459072\", alpha=\"0.11\", expect_size=\"49729536\"] \n  1 -> 3 [size =\"49729536\"]\n  2 [size=\"37246976\", alpha=\"0.04\", expect_size=\"18623488\"] \n  3 [size=\"82401280\", alpha=\"0.03\", expect_size=\"41200640\"] \n  3 -> 4 [size =\"41200640\"]\n  3 -> 5 [size =\"41200640\"]\n  4 [size=\"24174592\", alpha=\"0.14\", expect_size=\"12087296\"] \n  4 -> 7 [size =\"12087296\"]\n  5 [size=\"40069120\", alpha=\"0.08\", expect_size=\"20034560\"] \n  5 -> 6 [size =\"20034560\"]\n  5 -> 7 [size =\"20034560\"]\n  6 [size=\"26533888\", alpha=\"0.05\", expect_size=\"13266944\"] \n  6 -> 8 [size =\"13266944\"]\n  7 [size=\"59015168\", alpha=\"0.02\", expect_size=\"29507584\"] \n  7 -> 9 [size =\"29507584\"]\n  8 [size=\"100454400\", alpha=\"0.02\", expect_size=\"50227200\"] \n  9 [size=\"76503040\", alpha=\"0.01\", expect_size=\"38251520\"] \n  9 -> 10 [size =\"38251520\"]\n  10 [size=\"81508352\", alpha=\"0.15\", expect_size=\"40754176\"] \n  10 -> 11 [size =\"40754176\"]\n  10 -> 12 [size =\"40754176\"]\n  11 [size=\"24330240\", alpha=\"0.08\", expect_size=\"12165120\"] \n  11 -> 13 [size =\"12165120\"]\n  12 [size=\"78487552\", alpha=\"0.06\", expect_size=\"39243776\"] \n  12 -> 13 [size =\"39243776\"]\n  13 [size=\"96856064\", alpha=\"0.05\", expect_size=\"48428032\"] \n  13 -> 14 [size =\"48428032\"]\n  14 [size=\"14557184\", alpha=\"0.07\", expect_size=\"7278592\"] \n  14 -> 15 [size =\"7278592\"]\n  14 -> 16 [size =\"7278592\"]\n  15 [size=\"80621568\", alpha=\"0.08\", expect_size=\"40310784\"] \n  15 -> 17 [size =\"40310784\"]\n  16 [size=\"22016000\", alpha=\"0.09\", expect_size=\"11008000\"] \n  16 -> 17 [size =\"11008000\"]\n  17 [size=\"44908544\", alpha=\"0.17\", expect_size=\"22454272\"] \n  17 -> 18 [size =\"22454272\"]\n  18 [size=\"52576256\", alpha=\"0.11\", expect_size=\"26288128\"] \n  18 -> 19 [size =\"26288128\"]\n  19 [size=\"63012864\", alpha=\"0.07\", expect_size=\"31506432\"] \n  19 -> 20 [size =\"31506432\"]\n  19 -> 21 [size =\"31506432\"]\n  20 [size=\"67813376\", alpha=\"0.17\", expect_size=\"33906688\"] \n  21 [size=\"42866688\", alpha=\"0.07\", expect_size=\"21433344\"] \n  21 -> 22 [size =\"21433344\"]\n  22 [size=\"79931392\", alpha=\"0.03\", expect_size=\"39965696\"] \n  22 -> 23 [size =\"39965696\"]\n  22 -> 24 [size =\"39965696\"]\n  23 [size=\"15331328\", alpha=\"0.13\", expect_size=\"7665664\"] \n  23 -> 25 [size =\"7665664\"]\n  24 [size=\"36841472\", alpha=\"0.07\", expect_size=\"18420736\"] \n  25 [size=\"71694336\", alpha=\"0.07\", expect_size=\"35847168\"] \n  25 -> 26 [size =\"35847168\"]\n  25 -> 27 [size =\"35847168\"]\n  26 [size=\"13813760\", alpha=\"0.10\", expect_size=\"6906880\"] \n  26 -> 28 [size =\"6906880\"]\n  26 -> 29 [size =\"6906880\"]\n  27 [size=\"56496128\", alpha=\"0.04\", expect_size=\"28248064\"] \n  28 [size=\"44531712\", alpha=\"0.16\", expect_size=\"22265856\"] \n  29 [size=\"94242816\", alpha=\"0.03\", expect_size=\"47121408\"] \n  29 -> 30 [size =\"47121408\"]\n  30 [size=\"30892032\", alpha=\"0.04\", expect_size=\"15446016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92757333\", alpha=\"0.14\", expect_size=\"27827200\"] \n  1 -> 25 [size =\"27827200\"]\n  1 -> 26 [size =\"27827200\"]\n  1 -> 28 [size =\"27827200\"]\n  1 -> 29 [size =\"27827200\"]\n  1 -> 30 [size =\"27827200\"]\n  2 [size=\"94027093\", alpha=\"0.19\", expect_size=\"28208128\"] \n  2 -> 26 [size =\"28208128\"]\n  2 -> 28 [size =\"28208128\"]\n  2 -> 29 [size =\"28208128\"]\n  2 -> 30 [size =\"28208128\"]\n  2 -> 30 [size =\"28208128\"]\n  3 [size=\"168871253\", alpha=\"0.19\", expect_size=\"50661376\"] \n  3 -> 25 [size =\"50661376\"]\n  3 -> 28 [size =\"50661376\"]\n  3 -> 29 [size =\"50661376\"]\n  4 [size=\"25640960\", alpha=\"0.17\", expect_size=\"7692288\"] \n  5 [size=\"115991893\", alpha=\"0.08\", expect_size=\"34797568\"] \n  5 -> 25 [size =\"34797568\"]\n  5 -> 28 [size =\"34797568\"]\n  5 -> 30 [size =\"34797568\"]\n  6 [size=\"59323733\", alpha=\"0.04\", expect_size=\"17797120\"] \n  6 -> 25 [size =\"17797120\"]\n  6 -> 28 [size =\"17797120\"]\n  6 -> 29 [size =\"17797120\"]\n  7 [size=\"30109013\", alpha=\"0.10\", expect_size=\"9032704\"] \n  7 -> 25 [size =\"9032704\"]\n  7 -> 29 [size =\"9032704\"]\n  7 -> 30 [size =\"9032704\"]\n  8 [size=\"20224000\", alpha=\"0.03\", expect_size=\"6067200\"] \n  8 -> 25 [size =\"6067200\"]\n  8 -> 29 [size =\"6067200\"]\n  9 [size=\"123163307\", alpha=\"0.16\", expect_size=\"36948992\"] \n  9 -> 25 [size =\"36948992\"]\n  9 -> 26 [size =\"36948992\"]\n  10 [size=\"137267200\", alpha=\"0.12\", expect_size=\"41180160\"] \n  10 -> 25 [size =\"41180160\"]\n  10 -> 26 [size =\"41180160\"]\n  11 [size=\"57511253\", alpha=\"0.08\", expect_size=\"17253376\"] \n  11 -> 28 [size =\"17253376\"]\n  12 [size=\"171195733\", alpha=\"0.10\", expect_size=\"51358720\"] \n  12 -> 25 [size =\"51358720\"]\n  12 -> 26 [size =\"51358720\"]\n  12 -> 28 [size =\"51358720\"]\n  12 -> 30 [size =\"51358720\"]\n  13 [size=\"160525653\", alpha=\"0.10\", expect_size=\"48157696\"] \n  13 -> 26 [size =\"48157696\"]\n  13 -> 26 [size =\"48157696\"]\n  13 -> 28 [size =\"48157696\"]\n  13 -> 30 [size =\"48157696\"]\n  14 [size=\"153559040\", alpha=\"0.17\", expect_size=\"46067712\"] \n  14 -> 28 [size =\"46067712\"]\n  15 [size=\"129515520\", alpha=\"0.14\", expect_size=\"38854656\"] \n  15 -> 25 [size =\"38854656\"]\n  15 -> 26 [size =\"38854656\"]\n  15 -> 28 [size =\"38854656\"]\n  15 -> 30 [size =\"38854656\"]\n  16 [size=\"37239467\", alpha=\"0.15\", expect_size=\"11171840\"] \n  16 -> 30 [size =\"11171840\"]\n  17 [size=\"70973440\", alpha=\"0.00\", expect_size=\"21292032\"] \n  17 -> 25 [size =\"21292032\"]\n  17 -> 26 [size =\"21292032\"]\n  17 -> 30 [size =\"21292032\"]\n  18 [size=\"145800533\", alpha=\"0.18\", expect_size=\"43740160\"] \n  18 -> 25 [size =\"43740160\"]\n  18 -> 26 [size =\"43740160\"]\n  18 -> 27 [size =\"43740160\"]\n  18 -> 30 [size =\"43740160\"]\n  19 [size=\"169219413\", alpha=\"0.14\", expect_size=\"50765824\"] \n  19 -> 26 [size =\"50765824\"]\n  20 [size=\"138994347\", alpha=\"0.01\", expect_size=\"41698304\"] \n  20 -> 25 [size =\"41698304\"]\n  20 -> 26 [size =\"41698304\"]\n  21 [size=\"75403947\", alpha=\"0.18\", expect_size=\"22621184\"] \n  22 [size=\"140451840\", alpha=\"0.04\", expect_size=\"42135552\"] \n  22 -> 28 [size =\"42135552\"]\n  22 -> 29 [size =\"42135552\"]\n  22 -> 30 [size =\"42135552\"]\n  23 [size=\"61412693\", alpha=\"0.10\", expect_size=\"18423808\"] \n  23 -> 25 [size =\"18423808\"]\n  23 -> 26 [size =\"18423808\"]\n  23 -> 30 [size =\"18423808\"]\n  24 [size=\"140581547\", alpha=\"0.17\", expect_size=\"42174464\"] \n  24 -> 25 [size =\"42174464\"]\n  24 -> 26 [size =\"42174464\"]\n  24 -> 28 [size =\"42174464\"]\n  24 -> 30 [size =\"42174464\"]\n  25 [size=\"114240853\", alpha=\"0.16\", expect_size=\"34272256\"] \n  26 [size=\"65259520\", alpha=\"0.01\", expect_size=\"19577856\"] \n  27 [size=\"26794667\", alpha=\"0.07\", expect_size=\"8038400\"] \n  28 [size=\"29231787\", alpha=\"0.14\", expect_size=\"8769536\"] \n  29 [size=\"169308160\", alpha=\"0.14\", expect_size=\"50792448\"] \n  30 [size=\"119831893\", alpha=\"0.09\", expect_size=\"35949568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100911104\", alpha=\"0.05\", expect_size=\"50455552\"] \n  1 -> 2 [size =\"50455552\"]\n  1 -> 3 [size =\"50455552\"]\n  2 [size=\"93069312\", alpha=\"0.05\", expect_size=\"46534656\"] \n  2 -> 4 [size =\"46534656\"]\n  3 [size=\"90030080\", alpha=\"0.02\", expect_size=\"45015040\"] \n  4 [size=\"76275712\", alpha=\"0.18\", expect_size=\"38137856\"] \n  4 -> 5 [size =\"38137856\"]\n  5 [size=\"20797440\", alpha=\"0.15\", expect_size=\"10398720\"] \n  5 -> 6 [size =\"10398720\"]\n  5 -> 7 [size =\"10398720\"]\n  6 [size=\"29093888\", alpha=\"0.07\", expect_size=\"14546944\"] \n  6 -> 9 [size =\"14546944\"]\n  7 [size=\"22798336\", alpha=\"0.17\", expect_size=\"11399168\"] \n  7 -> 8 [size =\"11399168\"]\n  8 [size=\"30306304\", alpha=\"0.17\", expect_size=\"15153152\"] \n  8 -> 10 [size =\"15153152\"]\n  9 [size=\"19267584\", alpha=\"0.16\", expect_size=\"9633792\"] \n  9 -> 11 [size =\"9633792\"]\n  10 [size=\"77629440\", alpha=\"0.01\", expect_size=\"38814720\"] \n  10 -> 12 [size =\"38814720\"]\n  10 -> 13 [size =\"38814720\"]\n  11 [size=\"59244544\", alpha=\"0.12\", expect_size=\"29622272\"] \n  11 -> 12 [size =\"29622272\"]\n  12 [size=\"81668096\", alpha=\"0.10\", expect_size=\"40834048\"] \n  13 [size=\"13207552\", alpha=\"0.12\", expect_size=\"6603776\"] \n  13 -> 14 [size =\"6603776\"]\n  14 [size=\"23478272\", alpha=\"0.02\", expect_size=\"11739136\"] \n  14 -> 15 [size =\"11739136\"]\n  14 -> 16 [size =\"11739136\"]\n  15 [size=\"14938112\", alpha=\"0.12\", expect_size=\"7469056\"] \n  15 -> 18 [size =\"7469056\"]\n  16 [size=\"83994624\", alpha=\"0.12\", expect_size=\"41997312\"] \n  16 -> 17 [size =\"41997312\"]\n  17 [size=\"20396032\", alpha=\"0.07\", expect_size=\"10198016\"] \n  17 -> 19 [size =\"10198016\"]\n  18 [size=\"100812800\", alpha=\"0.16\", expect_size=\"50406400\"] \n  18 -> 20 [size =\"50406400\"]\n  19 [size=\"84862976\", alpha=\"0.18\", expect_size=\"42431488\"] \n  19 -> 21 [size =\"42431488\"]\n  20 [size=\"64694272\", alpha=\"0.15\", expect_size=\"32347136\"] \n  20 -> 21 [size =\"32347136\"]\n  20 -> 22 [size =\"32347136\"]\n  21 [size=\"71098368\", alpha=\"0.12\", expect_size=\"35549184\"] \n  21 -> 23 [size =\"35549184\"]\n  21 -> 24 [size =\"35549184\"]\n  22 [size=\"34441216\", alpha=\"0.05\", expect_size=\"17220608\"] \n  22 -> 23 [size =\"17220608\"]\n  23 [size=\"81530880\", alpha=\"0.16\", expect_size=\"40765440\"] \n  23 -> 25 [size =\"40765440\"]\n  24 [size=\"45027328\", alpha=\"0.01\", expect_size=\"22513664\"] \n  24 -> 25 [size =\"22513664\"]\n  24 -> 26 [size =\"22513664\"]\n  25 [size=\"55744512\", alpha=\"0.08\", expect_size=\"27872256\"] \n  25 -> 28 [size =\"27872256\"]\n  26 [size=\"19824640\", alpha=\"0.19\", expect_size=\"9912320\"] \n  26 -> 27 [size =\"9912320\"]\n  26 -> 28 [size =\"9912320\"]\n  27 [size=\"74979328\", alpha=\"0.12\", expect_size=\"37489664\"] \n  27 -> 29 [size =\"37489664\"]\n  28 [size=\"14290944\", alpha=\"0.10\", expect_size=\"7145472\"] \n  28 -> 29 [size =\"7145472\"]\n  29 [size=\"90415104\", alpha=\"0.09\", expect_size=\"45207552\"] \n  29 -> 30 [size =\"45207552\"]\n  30 [size=\"80111616\", alpha=\"0.03\", expect_size=\"40055808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76564480\", alpha=\"0.01\", expect_size=\"30625792\"] \n  1 -> 2 [size =\"30625792\"]\n  2 [size=\"129405440\", alpha=\"0.10\", expect_size=\"51762176\"] \n  2 -> 3 [size =\"51762176\"]\n  2 -> 4 [size =\"51762176\"]\n  3 [size=\"43476480\", alpha=\"0.13\", expect_size=\"17390592\"] \n  4 [size=\"26122240\", alpha=\"0.14\", expect_size=\"10448896\"] \n  4 -> 5 [size =\"10448896\"]\n  4 -> 6 [size =\"10448896\"]\n  5 [size=\"72358400\", alpha=\"0.06\", expect_size=\"28943360\"] \n  6 [size=\"83619840\", alpha=\"0.03\", expect_size=\"33447936\"] \n  6 -> 7 [size =\"33447936\"]\n  7 [size=\"94732800\", alpha=\"0.11\", expect_size=\"37893120\"] \n  7 -> 8 [size =\"37893120\"]\n  8 [size=\"38960640\", alpha=\"0.11\", expect_size=\"15584256\"] \n  8 -> 9 [size =\"15584256\"]\n  8 -> 10 [size =\"15584256\"]\n  9 [size=\"54607360\", alpha=\"0.11\", expect_size=\"21842944\"] \n  10 [size=\"74444800\", alpha=\"0.04\", expect_size=\"29777920\"] \n  10 -> 11 [size =\"29777920\"]\n  11 [size=\"51397120\", alpha=\"0.05\", expect_size=\"20558848\"] \n  11 -> 12 [size =\"20558848\"]\n  11 -> 13 [size =\"20558848\"]\n  12 [size=\"55367680\", alpha=\"0.06\", expect_size=\"22147072\"] \n  12 -> 14 [size =\"22147072\"]\n  13 [size=\"112768000\", alpha=\"0.15\", expect_size=\"45107200\"] \n  14 [size=\"70727680\", alpha=\"0.08\", expect_size=\"28291072\"] \n  14 -> 15 [size =\"28291072\"]\n  14 -> 16 [size =\"28291072\"]\n  15 [size=\"38126080\", alpha=\"0.16\", expect_size=\"15250432\"] \n  16 [size=\"73738240\", alpha=\"0.09\", expect_size=\"29495296\"] \n  16 -> 17 [size =\"29495296\"]\n  16 -> 18 [size =\"29495296\"]\n  17 [size=\"92920320\", alpha=\"0.15\", expect_size=\"37168128\"] \n  17 -> 20 [size =\"37168128\"]\n  18 [size=\"42040320\", alpha=\"0.13\", expect_size=\"16816128\"] \n  18 -> 19 [size =\"16816128\"]\n  19 [size=\"106429440\", alpha=\"0.09\", expect_size=\"42571776\"] \n  19 -> 21 [size =\"42571776\"]\n  20 [size=\"55344640\", alpha=\"0.17\", expect_size=\"22137856\"] \n  21 [size=\"78320640\", alpha=\"0.16\", expect_size=\"31328256\"] \n  21 -> 22 [size =\"31328256\"]\n  21 -> 23 [size =\"31328256\"]\n  22 [size=\"110159360\", alpha=\"0.15\", expect_size=\"44063744\"] \n  22 -> 24 [size =\"44063744\"]\n  23 [size=\"24857600\", alpha=\"0.18\", expect_size=\"9943040\"] \n  24 [size=\"113971200\", alpha=\"0.04\", expect_size=\"45588480\"] \n  24 -> 25 [size =\"45588480\"]\n  25 [size=\"44106240\", alpha=\"0.00\", expect_size=\"17642496\"] \n  25 -> 26 [size =\"17642496\"]\n  25 -> 27 [size =\"17642496\"]\n  26 [size=\"23129600\", alpha=\"0.08\", expect_size=\"9251840\"] \n  26 -> 29 [size =\"9251840\"]\n  27 [size=\"79065600\", alpha=\"0.10\", expect_size=\"31626240\"] \n  27 -> 28 [size =\"31626240\"]\n  28 [size=\"48291840\", alpha=\"0.16\", expect_size=\"19316736\"] \n  28 -> 30 [size =\"19316736\"]\n  29 [size=\"122278400\", alpha=\"0.09\", expect_size=\"48911360\"] \n  30 [size=\"58352640\", alpha=\"0.12\", expect_size=\"23341056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111938560\", alpha=\"0.04\", expect_size=\"44775424\"] \n  1 -> 2 [size =\"44775424\"]\n  2 [size=\"16552960\", alpha=\"0.03\", expect_size=\"6621184\"] \n  2 -> 3 [size =\"6621184\"]\n  3 [size=\"60515840\", alpha=\"0.05\", expect_size=\"24206336\"] \n  3 -> 4 [size =\"24206336\"]\n  4 [size=\"23692800\", alpha=\"0.15\", expect_size=\"9477120\"] \n  4 -> 5 [size =\"9477120\"]\n  5 [size=\"106695680\", alpha=\"0.06\", expect_size=\"42678272\"] \n  5 -> 6 [size =\"42678272\"]\n  6 [size=\"118243840\", alpha=\"0.09\", expect_size=\"47297536\"] \n  6 -> 7 [size =\"47297536\"]\n  7 [size=\"98119680\", alpha=\"0.17\", expect_size=\"39247872\"] \n  7 -> 8 [size =\"39247872\"]\n  8 [size=\"24683520\", alpha=\"0.13\", expect_size=\"9873408\"] \n  8 -> 9 [size =\"9873408\"]\n  9 [size=\"85004800\", alpha=\"0.04\", expect_size=\"34001920\"] \n  9 -> 10 [size =\"34001920\"]\n  10 [size=\"87651840\", alpha=\"0.08\", expect_size=\"35060736\"] \n  10 -> 11 [size =\"35060736\"]\n  11 [size=\"91289600\", alpha=\"0.06\", expect_size=\"36515840\"] \n  11 -> 12 [size =\"36515840\"]\n  12 [size=\"112399360\", alpha=\"0.16\", expect_size=\"44959744\"] \n  12 -> 13 [size =\"44959744\"]\n  13 [size=\"129064960\", alpha=\"0.07\", expect_size=\"51625984\"] \n  13 -> 14 [size =\"51625984\"]\n  14 [size=\"41482240\", alpha=\"0.05\", expect_size=\"16592896\"] \n  14 -> 15 [size =\"16592896\"]\n  15 [size=\"130654720\", alpha=\"0.12\", expect_size=\"52261888\"] \n  15 -> 16 [size =\"52261888\"]\n  16 [size=\"49943040\", alpha=\"0.12\", expect_size=\"19977216\"] \n  16 -> 17 [size =\"19977216\"]\n  17 [size=\"104465920\", alpha=\"0.10\", expect_size=\"41786368\"] \n  17 -> 18 [size =\"41786368\"]\n  18 [size=\"84631040\", alpha=\"0.17\", expect_size=\"33852416\"] \n  18 -> 19 [size =\"33852416\"]\n  19 [size=\"40750080\", alpha=\"0.00\", expect_size=\"16300032\"] \n  19 -> 20 [size =\"16300032\"]\n  20 [size=\"64916480\", alpha=\"0.05\", expect_size=\"25966592\"] \n  20 -> 21 [size =\"25966592\"]\n  21 [size=\"111549440\", alpha=\"0.07\", expect_size=\"44619776\"] \n  21 -> 22 [size =\"44619776\"]\n  22 [size=\"30039040\", alpha=\"0.09\", expect_size=\"12015616\"] \n  22 -> 23 [size =\"12015616\"]\n  23 [size=\"127150080\", alpha=\"0.19\", expect_size=\"50860032\"] \n  23 -> 24 [size =\"50860032\"]\n  24 [size=\"52595200\", alpha=\"0.11\", expect_size=\"21038080\"] \n  24 -> 25 [size =\"21038080\"]\n  25 [size=\"83294720\", alpha=\"0.19\", expect_size=\"33317888\"] \n  25 -> 26 [size =\"33317888\"]\n  26 [size=\"34987520\", alpha=\"0.05\", expect_size=\"13995008\"] \n  26 -> 27 [size =\"13995008\"]\n  27 [size=\"108065280\", alpha=\"0.05\", expect_size=\"43226112\"] \n  27 -> 28 [size =\"43226112\"]\n  28 [size=\"48296960\", alpha=\"0.07\", expect_size=\"19318784\"] \n  28 -> 29 [size =\"19318784\"]\n  29 [size=\"30650880\", alpha=\"0.02\", expect_size=\"12260352\"] \n  29 -> 30 [size =\"12260352\"]\n  30 [size=\"31656960\", alpha=\"0.08\", expect_size=\"12662784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95257600\", alpha=\"0.02\", expect_size=\"38103040\"] \n  1 -> 4 [size =\"38103040\"]\n  2 [size=\"37309440\", alpha=\"0.05\", expect_size=\"14923776\"] \n  2 -> 3 [size =\"14923776\"]\n  2 -> 4 [size =\"14923776\"]\n  3 [size=\"17725440\", alpha=\"0.20\", expect_size=\"7090176\"] \n  3 -> 5 [size =\"7090176\"]\n  4 [size=\"57871360\", alpha=\"0.01\", expect_size=\"23148544\"] \n  4 -> 5 [size =\"23148544\"]\n  5 [size=\"50821120\", alpha=\"0.07\", expect_size=\"20328448\"] \n  5 -> 6 [size =\"20328448\"]\n  5 -> 7 [size =\"20328448\"]\n  6 [size=\"20254720\", alpha=\"0.14\", expect_size=\"8101888\"] \n  7 [size=\"109045760\", alpha=\"0.10\", expect_size=\"43618304\"] \n  7 -> 8 [size =\"43618304\"]\n  8 [size=\"111047680\", alpha=\"0.10\", expect_size=\"44419072\"] \n  8 -> 9 [size =\"44419072\"]\n  9 [size=\"21468160\", alpha=\"0.02\", expect_size=\"8587264\"] \n  9 -> 10 [size =\"8587264\"]\n  9 -> 11 [size =\"8587264\"]\n  10 [size=\"94382080\", alpha=\"0.19\", expect_size=\"37752832\"] \n  10 -> 13 [size =\"37752832\"]\n  11 [size=\"62699520\", alpha=\"0.10\", expect_size=\"25079808\"] \n  11 -> 12 [size =\"25079808\"]\n  11 -> 13 [size =\"25079808\"]\n  12 [size=\"73553920\", alpha=\"0.05\", expect_size=\"29421568\"] \n  12 -> 14 [size =\"29421568\"]\n  12 -> 15 [size =\"29421568\"]\n  13 [size=\"104309760\", alpha=\"0.14\", expect_size=\"41723904\"] \n  13 -> 14 [size =\"41723904\"]\n  13 -> 15 [size =\"41723904\"]\n  14 [size=\"101696000\", alpha=\"0.17\", expect_size=\"40678400\"] \n  15 [size=\"110080000\", alpha=\"0.20\", expect_size=\"44032000\"] \n  15 -> 16 [size =\"44032000\"]\n  16 [size=\"35566080\", alpha=\"0.09\", expect_size=\"14226432\"] \n  16 -> 17 [size =\"14226432\"]\n  17 [size=\"116185600\", alpha=\"0.13\", expect_size=\"46474240\"] \n  17 -> 18 [size =\"46474240\"]\n  18 [size=\"55239680\", alpha=\"0.17\", expect_size=\"22095872\"] \n  18 -> 19 [size =\"22095872\"]\n  19 [size=\"115671040\", alpha=\"0.14\", expect_size=\"46268416\"] \n  19 -> 20 [size =\"46268416\"]\n  19 -> 21 [size =\"46268416\"]\n  20 [size=\"126919680\", alpha=\"0.12\", expect_size=\"50767872\"] \n  20 -> 23 [size =\"50767872\"]\n  21 [size=\"121720320\", alpha=\"0.03\", expect_size=\"48688128\"] \n  21 -> 22 [size =\"48688128\"]\n  21 -> 23 [size =\"48688128\"]\n  22 [size=\"60549120\", alpha=\"0.19\", expect_size=\"24219648\"] \n  22 -> 25 [size =\"24219648\"]\n  23 [size=\"88778240\", alpha=\"0.15\", expect_size=\"35511296\"] \n  23 -> 24 [size =\"35511296\"]\n  23 -> 25 [size =\"35511296\"]\n  24 [size=\"51804160\", alpha=\"0.19\", expect_size=\"20721664\"] \n  24 -> 26 [size =\"20721664\"]\n  25 [size=\"34301440\", alpha=\"0.10\", expect_size=\"13720576\"] \n  25 -> 26 [size =\"13720576\"]\n  26 [size=\"33402880\", alpha=\"0.01\", expect_size=\"13361152\"] \n  26 -> 27 [size =\"13361152\"]\n  26 -> 28 [size =\"13361152\"]\n  27 [size=\"88276480\", alpha=\"0.09\", expect_size=\"35310592\"] \n  27 -> 29 [size =\"35310592\"]\n  27 -> 30 [size =\"35310592\"]\n  28 [size=\"46543360\", alpha=\"0.14\", expect_size=\"18617344\"] \n  28 -> 29 [size =\"18617344\"]\n  28 -> 30 [size =\"18617344\"]\n  29 [size=\"28464640\", alpha=\"0.19\", expect_size=\"11385856\"] \n  30 [size=\"112591360\", alpha=\"0.19\", expect_size=\"45036544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142380373\", alpha=\"0.04\", expect_size=\"42714112\"] \n  1 -> 6 [size =\"42714112\"]\n  1 -> 8 [size =\"42714112\"]\n  1 -> 9 [size =\"42714112\"]\n  2 [size=\"101379413\", alpha=\"0.01\", expect_size=\"30413824\"] \n  3 [size=\"137577813\", alpha=\"0.01\", expect_size=\"41273344\"] \n  3 -> 7 [size =\"41273344\"]\n  3 -> 8 [size =\"41273344\"]\n  4 [size=\"154122240\", alpha=\"0.12\", expect_size=\"46236672\"] \n  4 -> 6 [size =\"46236672\"]\n  4 -> 7 [size =\"46236672\"]\n  5 [size=\"19391147\", alpha=\"0.14\", expect_size=\"5817344\"] \n  5 -> 6 [size =\"5817344\"]\n  6 [size=\"33467733\", alpha=\"0.14\", expect_size=\"10040320\"] \n  6 -> 10 [size =\"10040320\"]\n  6 -> 12 [size =\"10040320\"]\n  6 -> 13 [size =\"10040320\"]\n  7 [size=\"94109013\", alpha=\"0.07\", expect_size=\"28232704\"] \n  7 -> 10 [size =\"28232704\"]\n  7 -> 11 [size =\"28232704\"]\n  7 -> 12 [size =\"28232704\"]\n  7 -> 13 [size =\"28232704\"]\n  8 [size=\"25719467\", alpha=\"0.16\", expect_size=\"7715840\"] \n  8 -> 10 [size =\"7715840\"]\n  8 -> 12 [size =\"7715840\"]\n  8 -> 13 [size =\"7715840\"]\n  9 [size=\"128768000\", alpha=\"0.14\", expect_size=\"38630400\"] \n  9 -> 10 [size =\"38630400\"]\n  9 -> 12 [size =\"38630400\"]\n  9 -> 14 [size =\"38630400\"]\n  10 [size=\"31098880\", alpha=\"0.19\", expect_size=\"9329664\"] \n  11 [size=\"26760533\", alpha=\"0.17\", expect_size=\"8028160\"] \n  11 -> 15 [size =\"8028160\"]\n  11 -> 17 [size =\"8028160\"]\n  12 [size=\"55654400\", alpha=\"0.04\", expect_size=\"16696320\"] \n  12 -> 15 [size =\"16696320\"]\n  13 [size=\"61992960\", alpha=\"0.05\", expect_size=\"18597888\"] \n  13 -> 15 [size =\"18597888\"]\n  13 -> 18 [size =\"18597888\"]\n  14 [size=\"67338240\", alpha=\"0.13\", expect_size=\"20201472\"] \n  14 -> 15 [size =\"20201472\"]\n  14 -> 16 [size =\"20201472\"]\n  14 -> 17 [size =\"20201472\"]\n  15 [size=\"163928747\", alpha=\"0.16\", expect_size=\"49178624\"] \n  15 -> 20 [size =\"49178624\"]\n  16 [size=\"116142080\", alpha=\"0.16\", expect_size=\"34842624\"] \n  16 -> 19 [size =\"34842624\"]\n  16 -> 20 [size =\"34842624\"]\n  16 -> 21 [size =\"34842624\"]\n  16 -> 22 [size =\"34842624\"]\n  16 -> 23 [size =\"34842624\"]\n  17 [size=\"71304533\", alpha=\"0.13\", expect_size=\"21391360\"] \n  17 -> 20 [size =\"21391360\"]\n  17 -> 21 [size =\"21391360\"]\n  17 -> 21 [size =\"21391360\"]\n  17 -> 22 [size =\"21391360\"]\n  17 -> 23 [size =\"21391360\"]\n  18 [size=\"128389120\", alpha=\"0.09\", expect_size=\"38516736\"] \n  18 -> 20 [size =\"38516736\"]\n  18 -> 21 [size =\"38516736\"]\n  18 -> 22 [size =\"38516736\"]\n  18 -> 22 [size =\"38516736\"]\n  19 [size=\"96314027\", alpha=\"0.11\", expect_size=\"28894208\"] \n  19 -> 25 [size =\"28894208\"]\n  19 -> 26 [size =\"28894208\"]\n  20 [size=\"48660480\", alpha=\"0.06\", expect_size=\"14598144\"] \n  20 -> 24 [size =\"14598144\"]\n  20 -> 25 [size =\"14598144\"]\n  20 -> 26 [size =\"14598144\"]\n  20 -> 27 [size =\"14598144\"]\n  21 [size=\"41086293\", alpha=\"0.17\", expect_size=\"12325888\"] \n  21 -> 24 [size =\"12325888\"]\n  21 -> 25 [size =\"12325888\"]\n  21 -> 26 [size =\"12325888\"]\n  22 [size=\"19101013\", alpha=\"0.20\", expect_size=\"5730304\"] \n  22 -> 25 [size =\"5730304\"]\n  22 -> 25 [size =\"5730304\"]\n  22 -> 26 [size =\"5730304\"]\n  23 [size=\"52094293\", alpha=\"0.17\", expect_size=\"15628288\"] \n  23 -> 24 [size =\"15628288\"]\n  23 -> 26 [size =\"15628288\"]\n  24 [size=\"94883840\", alpha=\"0.12\", expect_size=\"28465152\"] \n  24 -> 30 [size =\"28465152\"]\n  25 [size=\"40792747\", alpha=\"0.07\", expect_size=\"12237824\"] \n  25 -> 28 [size =\"12237824\"]\n  25 -> 29 [size =\"12237824\"]\n  25 -> 30 [size =\"12237824\"]\n  26 [size=\"169762133\", alpha=\"0.04\", expect_size=\"50928640\"] \n  26 -> 29 [size =\"50928640\"]\n  26 -> 30 [size =\"50928640\"]\n  27 [size=\"140206080\", alpha=\"0.10\", expect_size=\"42061824\"] \n  27 -> 29 [size =\"42061824\"]\n  27 -> 30 [size =\"42061824\"]\n  28 [size=\"88135680\", alpha=\"0.18\", expect_size=\"26440704\"] \n  29 [size=\"158808747\", alpha=\"0.00\", expect_size=\"47642624\"] \n  30 [size=\"84671147\", alpha=\"0.04\", expect_size=\"25401344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15861760\", alpha=\"0.11\", expect_size=\"6344704\"] \n  1 -> 7 [size =\"6344704\"]\n  1 -> 9 [size =\"6344704\"]\n  2 [size=\"34114560\", alpha=\"0.17\", expect_size=\"13645824\"] \n  3 [size=\"78128640\", alpha=\"0.15\", expect_size=\"31251456\"] \n  3 -> 8 [size =\"31251456\"]\n  3 -> 10 [size =\"31251456\"]\n  4 [size=\"62581760\", alpha=\"0.07\", expect_size=\"25032704\"] \n  4 -> 9 [size =\"25032704\"]\n  4 -> 10 [size =\"25032704\"]\n  4 -> 11 [size =\"25032704\"]\n  5 [size=\"109468160\", alpha=\"0.10\", expect_size=\"43787264\"] \n  5 -> 9 [size =\"43787264\"]\n  5 -> 10 [size =\"43787264\"]\n  5 -> 11 [size =\"43787264\"]\n  6 [size=\"41922560\", alpha=\"0.19\", expect_size=\"16769024\"] \n  6 -> 8 [size =\"16769024\"]\n  6 -> 9 [size =\"16769024\"]\n  6 -> 11 [size =\"16769024\"]\n  7 [size=\"47121920\", alpha=\"0.05\", expect_size=\"18848768\"] \n  7 -> 13 [size =\"18848768\"]\n  8 [size=\"62942720\", alpha=\"0.03\", expect_size=\"25177088\"] \n  8 -> 13 [size =\"25177088\"]\n  9 [size=\"19066880\", alpha=\"0.13\", expect_size=\"7626752\"] \n  9 -> 12 [size =\"7626752\"]\n  9 -> 13 [size =\"7626752\"]\n  10 [size=\"27115520\", alpha=\"0.17\", expect_size=\"10846208\"] \n  10 -> 12 [size =\"10846208\"]\n  10 -> 13 [size =\"10846208\"]\n  11 [size=\"72947200\", alpha=\"0.04\", expect_size=\"29178880\"] \n  11 -> 12 [size =\"29178880\"]\n  12 [size=\"20759040\", alpha=\"0.01\", expect_size=\"8303616\"] \n  12 -> 14 [size =\"8303616\"]\n  12 -> 15 [size =\"8303616\"]\n  12 -> 16 [size =\"8303616\"]\n  12 -> 17 [size =\"8303616\"]\n  12 -> 18 [size =\"8303616\"]\n  13 [size=\"123793920\", alpha=\"0.10\", expect_size=\"49517568\"] \n  13 -> 15 [size =\"49517568\"]\n  13 -> 16 [size =\"49517568\"]\n  13 -> 17 [size =\"49517568\"]\n  14 [size=\"93073920\", alpha=\"0.01\", expect_size=\"37229568\"] \n  14 -> 20 [size =\"37229568\"]\n  15 [size=\"15808000\", alpha=\"0.17\", expect_size=\"6323200\"] \n  15 -> 20 [size =\"6323200\"]\n  16 [size=\"76943360\", alpha=\"0.01\", expect_size=\"30777344\"] \n  16 -> 19 [size =\"30777344\"]\n  16 -> 20 [size =\"30777344\"]\n  17 [size=\"72107520\", alpha=\"0.16\", expect_size=\"28843008\"] \n  17 -> 19 [size =\"28843008\"]\n  18 [size=\"101975040\", alpha=\"0.17\", expect_size=\"40790016\"] \n  18 -> 19 [size =\"40790016\"]\n  19 [size=\"117086720\", alpha=\"0.18\", expect_size=\"46834688\"] \n  19 -> 21 [size =\"46834688\"]\n  19 -> 22 [size =\"46834688\"]\n  20 [size=\"75901440\", alpha=\"0.03\", expect_size=\"30360576\"] \n  20 -> 21 [size =\"30360576\"]\n  20 -> 22 [size =\"30360576\"]\n  20 -> 23 [size =\"30360576\"]\n  21 [size=\"58150400\", alpha=\"0.08\", expect_size=\"23260160\"] \n  22 [size=\"82626560\", alpha=\"0.17\", expect_size=\"33050624\"] \n  22 -> 24 [size =\"33050624\"]\n  22 -> 25 [size =\"33050624\"]\n  22 -> 26 [size =\"33050624\"]\n  23 [size=\"89256960\", alpha=\"0.18\", expect_size=\"35702784\"] \n  24 [size=\"32204800\", alpha=\"0.06\", expect_size=\"12881920\"] \n  25 [size=\"35169280\", alpha=\"0.11\", expect_size=\"14067712\"] \n  25 -> 28 [size =\"14067712\"]\n  25 -> 30 [size =\"14067712\"]\n  26 [size=\"16232960\", alpha=\"0.01\", expect_size=\"6493184\"] \n  26 -> 27 [size =\"6493184\"]\n  26 -> 28 [size =\"6493184\"]\n  26 -> 29 [size =\"6493184\"]\n  26 -> 30 [size =\"6493184\"]\n  27 [size=\"19197440\", alpha=\"0.16\", expect_size=\"7678976\"] \n  28 [size=\"112701440\", alpha=\"0.00\", expect_size=\"45080576\"] \n  29 [size=\"93445120\", alpha=\"0.05\", expect_size=\"37378048\"] \n  30 [size=\"80465920\", alpha=\"0.12\", expect_size=\"32186368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82536448\", alpha=\"0.10\", expect_size=\"41268224\"] \n  1 -> 2 [size =\"41268224\"]\n  2 [size=\"93097984\", alpha=\"0.19\", expect_size=\"46548992\"] \n  2 -> 3 [size =\"46548992\"]\n  3 [size=\"58990592\", alpha=\"0.08\", expect_size=\"29495296\"] \n  3 -> 4 [size =\"29495296\"]\n  4 [size=\"71358464\", alpha=\"0.20\", expect_size=\"35679232\"] \n  4 -> 5 [size =\"35679232\"]\n  5 [size=\"71180288\", alpha=\"0.09\", expect_size=\"35590144\"] \n  5 -> 6 [size =\"35590144\"]\n  6 [size=\"26830848\", alpha=\"0.01\", expect_size=\"13415424\"] \n  6 -> 7 [size =\"13415424\"]\n  7 [size=\"21444608\", alpha=\"0.14\", expect_size=\"10722304\"] \n  7 -> 8 [size =\"10722304\"]\n  8 [size=\"64458752\", alpha=\"0.03\", expect_size=\"32229376\"] \n  8 -> 9 [size =\"32229376\"]\n  9 [size=\"15368192\", alpha=\"0.01\", expect_size=\"7684096\"] \n  9 -> 10 [size =\"7684096\"]\n  10 [size=\"34254848\", alpha=\"0.20\", expect_size=\"17127424\"] \n  10 -> 11 [size =\"17127424\"]\n  11 [size=\"38137856\", alpha=\"0.20\", expect_size=\"19068928\"] \n  11 -> 12 [size =\"19068928\"]\n  12 [size=\"84744192\", alpha=\"0.14\", expect_size=\"42372096\"] \n  12 -> 13 [size =\"42372096\"]\n  13 [size=\"77983744\", alpha=\"0.15\", expect_size=\"38991872\"] \n  13 -> 14 [size =\"38991872\"]\n  14 [size=\"21813248\", alpha=\"0.08\", expect_size=\"10906624\"] \n  14 -> 15 [size =\"10906624\"]\n  15 [size=\"19812352\", alpha=\"0.03\", expect_size=\"9906176\"] \n  15 -> 16 [size =\"9906176\"]\n  16 [size=\"62533632\", alpha=\"0.16\", expect_size=\"31266816\"] \n  16 -> 17 [size =\"31266816\"]\n  17 [size=\"67416064\", alpha=\"0.07\", expect_size=\"33708032\"] \n  17 -> 18 [size =\"33708032\"]\n  18 [size=\"40603648\", alpha=\"0.06\", expect_size=\"20301824\"] \n  18 -> 19 [size =\"20301824\"]\n  19 [size=\"53274624\", alpha=\"0.07\", expect_size=\"26637312\"] \n  19 -> 20 [size =\"26637312\"]\n  20 [size=\"57534464\", alpha=\"0.12\", expect_size=\"28767232\"] \n  20 -> 21 [size =\"28767232\"]\n  21 [size=\"55185408\", alpha=\"0.12\", expect_size=\"27592704\"] \n  21 -> 22 [size =\"27592704\"]\n  22 [size=\"54693888\", alpha=\"0.09\", expect_size=\"27346944\"] \n  22 -> 23 [size =\"27346944\"]\n  23 [size=\"24027136\", alpha=\"0.17\", expect_size=\"12013568\"] \n  23 -> 24 [size =\"12013568\"]\n  24 [size=\"96978944\", alpha=\"0.18\", expect_size=\"48489472\"] \n  24 -> 25 [size =\"48489472\"]\n  25 [size=\"39860224\", alpha=\"0.11\", expect_size=\"19930112\"] \n  25 -> 26 [size =\"19930112\"]\n  26 [size=\"55283712\", alpha=\"0.08\", expect_size=\"27641856\"] \n  26 -> 27 [size =\"27641856\"]\n  27 [size=\"37001216\", alpha=\"0.07\", expect_size=\"18500608\"] \n  27 -> 28 [size =\"18500608\"]\n  28 [size=\"68900864\", alpha=\"0.18\", expect_size=\"34450432\"] \n  28 -> 29 [size =\"34450432\"]\n  29 [size=\"95805440\", alpha=\"0.09\", expect_size=\"47902720\"] \n  29 -> 30 [size =\"47902720\"]\n  30 [size=\"36169728\", alpha=\"0.06\", expect_size=\"18084864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65112747\", alpha=\"0.03\", expect_size=\"19533824\"] \n  1 -> 16 [size =\"19533824\"]\n  1 -> 17 [size =\"19533824\"]\n  2 [size=\"27985920\", alpha=\"0.14\", expect_size=\"8395776\"] \n  2 -> 15 [size =\"8395776\"]\n  2 -> 17 [size =\"8395776\"]\n  3 [size=\"32157013\", alpha=\"0.19\", expect_size=\"9647104\"] \n  3 -> 14 [size =\"9647104\"]\n  3 -> 16 [size =\"9647104\"]\n  4 [size=\"29740373\", alpha=\"0.16\", expect_size=\"8922112\"] \n  4 -> 14 [size =\"8922112\"]\n  4 -> 16 [size =\"8922112\"]\n  4 -> 19 [size =\"8922112\"]\n  5 [size=\"168936107\", alpha=\"0.06\", expect_size=\"50680832\"] \n  5 -> 11 [size =\"50680832\"]\n  5 -> 12 [size =\"50680832\"]\n  5 -> 15 [size =\"50680832\"]\n  5 -> 19 [size =\"50680832\"]\n  6 [size=\"94351360\", alpha=\"0.01\", expect_size=\"28305408\"] \n  6 -> 11 [size =\"28305408\"]\n  6 -> 15 [size =\"28305408\"]\n  6 -> 16 [size =\"28305408\"]\n  6 -> 17 [size =\"28305408\"]\n  6 -> 18 [size =\"28305408\"]\n  7 [size=\"68631893\", alpha=\"0.02\", expect_size=\"20589568\"] \n  7 -> 11 [size =\"20589568\"]\n  7 -> 15 [size =\"20589568\"]\n  7 -> 18 [size =\"20589568\"]\n  8 [size=\"154490880\", alpha=\"0.11\", expect_size=\"46347264\"] \n  8 -> 13 [size =\"46347264\"]\n  8 -> 14 [size =\"46347264\"]\n  8 -> 17 [size =\"46347264\"]\n  9 [size=\"35908267\", alpha=\"0.00\", expect_size=\"10772480\"] \n  9 -> 11 [size =\"10772480\"]\n  9 -> 14 [size =\"10772480\"]\n  9 -> 15 [size =\"10772480\"]\n  9 -> 17 [size =\"10772480\"]\n  9 -> 19 [size =\"10772480\"]\n  10 [size=\"162853547\", alpha=\"0.04\", expect_size=\"48856064\"] \n  10 -> 13 [size =\"48856064\"]\n  10 -> 15 [size =\"48856064\"]\n  10 -> 16 [size =\"48856064\"]\n  10 -> 17 [size =\"48856064\"]\n  11 [size=\"131648853\", alpha=\"0.06\", expect_size=\"39494656\"] \n  11 -> 20 [size =\"39494656\"]\n  11 -> 24 [size =\"39494656\"]\n  11 -> 25 [size =\"39494656\"]\n  11 -> 28 [size =\"39494656\"]\n  12 [size=\"153797973\", alpha=\"0.11\", expect_size=\"46139392\"] \n  12 -> 20 [size =\"46139392\"]\n  12 -> 21 [size =\"46139392\"]\n  12 -> 22 [size =\"46139392\"]\n  12 -> 24 [size =\"46139392\"]\n  12 -> 25 [size =\"46139392\"]\n  13 [size=\"105728000\", alpha=\"0.17\", expect_size=\"31718400\"] \n  13 -> 20 [size =\"31718400\"]\n  13 -> 21 [size =\"31718400\"]\n  13 -> 22 [size =\"31718400\"]\n  13 -> 25 [size =\"31718400\"]\n  14 [size=\"98068480\", alpha=\"0.08\", expect_size=\"29420544\"] \n  14 -> 20 [size =\"29420544\"]\n  14 -> 21 [size =\"29420544\"]\n  14 -> 27 [size =\"29420544\"]\n  15 [size=\"65908053\", alpha=\"0.17\", expect_size=\"19772416\"] \n  15 -> 20 [size =\"19772416\"]\n  15 -> 21 [size =\"19772416\"]\n  15 -> 24 [size =\"19772416\"]\n  16 [size=\"109643093\", alpha=\"0.09\", expect_size=\"32892928\"] \n  16 -> 23 [size =\"32892928\"]\n  16 -> 28 [size =\"32892928\"]\n  17 [size=\"113923413\", alpha=\"0.04\", expect_size=\"34177024\"] \n  17 -> 24 [size =\"34177024\"]\n  17 -> 26 [size =\"34177024\"]\n  17 -> 27 [size =\"34177024\"]\n  17 -> 28 [size =\"34177024\"]\n  18 [size=\"129536000\", alpha=\"0.16\", expect_size=\"38860800\"] \n  18 -> 20 [size =\"38860800\"]\n  18 -> 21 [size =\"38860800\"]\n  18 -> 27 [size =\"38860800\"]\n  18 -> 28 [size =\"38860800\"]\n  19 [size=\"57808213\", alpha=\"0.20\", expect_size=\"17342464\"] \n  19 -> 21 [size =\"17342464\"]\n  19 -> 25 [size =\"17342464\"]\n  19 -> 27 [size =\"17342464\"]\n  19 -> 28 [size =\"17342464\"]\n  20 [size=\"58071040\", alpha=\"0.09\", expect_size=\"17421312\"] \n  20 -> 29 [size =\"17421312\"]\n  21 [size=\"92668587\", alpha=\"0.04\", expect_size=\"27800576\"] \n  22 [size=\"140083200\", alpha=\"0.00\", expect_size=\"42024960\"] \n  23 [size=\"68512427\", alpha=\"0.18\", expect_size=\"20553728\"] \n  24 [size=\"47831040\", alpha=\"0.18\", expect_size=\"14349312\"] \n  24 -> 29 [size =\"14349312\"]\n  24 -> 30 [size =\"14349312\"]\n  25 [size=\"108165120\", alpha=\"0.17\", expect_size=\"32449536\"] \n  25 -> 29 [size =\"32449536\"]\n  25 -> 30 [size =\"32449536\"]\n  26 [size=\"85695147\", alpha=\"0.06\", expect_size=\"25708544\"] \n  26 -> 29 [size =\"25708544\"]\n  26 -> 30 [size =\"25708544\"]\n  27 [size=\"158037333\", alpha=\"0.02\", expect_size=\"47411200\"] \n  27 -> 29 [size =\"47411200\"]\n  27 -> 30 [size =\"47411200\"]\n  28 [size=\"29774507\", alpha=\"0.14\", expect_size=\"8932352\"] \n  28 -> 29 [size =\"8932352\"]\n  28 -> 30 [size =\"8932352\"]\n  29 [size=\"156699307\", alpha=\"0.10\", expect_size=\"47009792\"] \n  30 [size=\"153367893\", alpha=\"0.03\", expect_size=\"46010368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71813120\", alpha=\"0.07\", expect_size=\"35906560\"] \n  1 -> 6 [size =\"35906560\"]\n  2 [size=\"67497984\", alpha=\"0.05\", expect_size=\"33748992\"] \n  2 -> 6 [size =\"33748992\"]\n  2 -> 7 [size =\"33748992\"]\n  2 -> 8 [size =\"33748992\"]\n  3 [size=\"73910272\", alpha=\"0.04\", expect_size=\"36955136\"] \n  3 -> 6 [size =\"36955136\"]\n  3 -> 7 [size =\"36955136\"]\n  3 -> 8 [size =\"36955136\"]\n  4 [size=\"40235008\", alpha=\"0.03\", expect_size=\"20117504\"] \n  4 -> 6 [size =\"20117504\"]\n  5 [size=\"38778880\", alpha=\"0.12\", expect_size=\"19389440\"] \n  5 -> 6 [size =\"19389440\"]\n  6 [size=\"30894080\", alpha=\"0.11\", expect_size=\"15447040\"] \n  6 -> 9 [size =\"15447040\"]\n  6 -> 10 [size =\"15447040\"]\n  6 -> 12 [size =\"15447040\"]\n  6 -> 13 [size =\"15447040\"]\n  7 [size=\"40003584\", alpha=\"0.18\", expect_size=\"20001792\"] \n  7 -> 9 [size =\"20001792\"]\n  7 -> 10 [size =\"20001792\"]\n  7 -> 12 [size =\"20001792\"]\n  7 -> 13 [size =\"20001792\"]\n  8 [size=\"84334592\", alpha=\"0.04\", expect_size=\"42167296\"] \n  8 -> 9 [size =\"42167296\"]\n  8 -> 10 [size =\"42167296\"]\n  8 -> 11 [size =\"42167296\"]\n  9 [size=\"39088128\", alpha=\"0.01\", expect_size=\"19544064\"] \n  9 -> 14 [size =\"19544064\"]\n  9 -> 16 [size =\"19544064\"]\n  10 [size=\"33226752\", alpha=\"0.11\", expect_size=\"16613376\"] \n  10 -> 14 [size =\"16613376\"]\n  10 -> 16 [size =\"16613376\"]\n  10 -> 19 [size =\"16613376\"]\n  11 [size=\"67024896\", alpha=\"0.08\", expect_size=\"33512448\"] \n  11 -> 14 [size =\"33512448\"]\n  11 -> 15 [size =\"33512448\"]\n  11 -> 16 [size =\"33512448\"]\n  11 -> 17 [size =\"33512448\"]\n  11 -> 18 [size =\"33512448\"]\n  12 [size=\"100816896\", alpha=\"0.01\", expect_size=\"50408448\"] \n  12 -> 16 [size =\"50408448\"]\n  12 -> 17 [size =\"50408448\"]\n  12 -> 18 [size =\"50408448\"]\n  13 [size=\"29765632\", alpha=\"0.10\", expect_size=\"14882816\"] \n  13 -> 14 [size =\"14882816\"]\n  13 -> 16 [size =\"14882816\"]\n  13 -> 18 [size =\"14882816\"]\n  13 -> 19 [size =\"14882816\"]\n  14 [size=\"49256448\", alpha=\"0.00\", expect_size=\"24628224\"] \n  14 -> 20 [size =\"24628224\"]\n  14 -> 21 [size =\"24628224\"]\n  14 -> 22 [size =\"24628224\"]\n  15 [size=\"63840256\", alpha=\"0.05\", expect_size=\"31920128\"] \n  15 -> 21 [size =\"31920128\"]\n  16 [size=\"28317696\", alpha=\"0.14\", expect_size=\"14158848\"] \n  16 -> 20 [size =\"14158848\"]\n  16 -> 21 [size =\"14158848\"]\n  17 [size=\"79628288\", alpha=\"0.04\", expect_size=\"39814144\"] \n  17 -> 20 [size =\"39814144\"]\n  17 -> 21 [size =\"39814144\"]\n  17 -> 22 [size =\"39814144\"]\n  18 [size=\"71786496\", alpha=\"0.20\", expect_size=\"35893248\"] \n  18 -> 22 [size =\"35893248\"]\n  19 [size=\"91746304\", alpha=\"0.17\", expect_size=\"45873152\"] \n  19 -> 20 [size =\"45873152\"]\n  19 -> 22 [size =\"45873152\"]\n  20 [size=\"94580736\", alpha=\"0.18\", expect_size=\"47290368\"] \n  20 -> 23 [size =\"47290368\"]\n  20 -> 24 [size =\"47290368\"]\n  20 -> 25 [size =\"47290368\"]\n  20 -> 26 [size =\"47290368\"]\n  20 -> 27 [size =\"47290368\"]\n  21 [size=\"51826688\", alpha=\"0.11\", expect_size=\"25913344\"] \n  21 -> 23 [size =\"25913344\"]\n  21 -> 24 [size =\"25913344\"]\n  21 -> 25 [size =\"25913344\"]\n  21 -> 26 [size =\"25913344\"]\n  21 -> 27 [size =\"25913344\"]\n  22 [size=\"88993792\", alpha=\"0.17\", expect_size=\"44496896\"] \n  22 -> 23 [size =\"44496896\"]\n  22 -> 24 [size =\"44496896\"]\n  22 -> 25 [size =\"44496896\"]\n  22 -> 26 [size =\"44496896\"]\n  22 -> 27 [size =\"44496896\"]\n  23 [size=\"92010496\", alpha=\"0.17\", expect_size=\"46005248\"] \n  23 -> 28 [size =\"46005248\"]\n  24 [size=\"46632960\", alpha=\"0.02\", expect_size=\"23316480\"] \n  25 [size=\"47372288\", alpha=\"0.14\", expect_size=\"23686144\"] \n  25 -> 29 [size =\"23686144\"]\n  26 [size=\"69947392\", alpha=\"0.10\", expect_size=\"34973696\"] \n  26 -> 30 [size =\"34973696\"]\n  27 [size=\"40382464\", alpha=\"0.12\", expect_size=\"20191232\"] \n  27 -> 28 [size =\"20191232\"]\n  28 [size=\"59787264\", alpha=\"0.10\", expect_size=\"29893632\"] \n  29 [size=\"57677824\", alpha=\"0.13\", expect_size=\"28838912\"] \n  30 [size=\"43501568\", alpha=\"0.02\", expect_size=\"21750784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22763520\", alpha=\"0.19\", expect_size=\"9105408\"] \n  1 -> 12 [size =\"9105408\"]\n  1 -> 13 [size =\"9105408\"]\n  2 [size=\"75568640\", alpha=\"0.19\", expect_size=\"30227456\"] \n  2 -> 9 [size =\"30227456\"]\n  2 -> 12 [size =\"30227456\"]\n  2 -> 13 [size =\"30227456\"]\n  3 [size=\"19279360\", alpha=\"0.20\", expect_size=\"7711744\"] \n  3 -> 7 [size =\"7711744\"]\n  3 -> 10 [size =\"7711744\"]\n  3 -> 12 [size =\"7711744\"]\n  3 -> 13 [size =\"7711744\"]\n  4 [size=\"87321600\", alpha=\"0.11\", expect_size=\"34928640\"] \n  4 -> 7 [size =\"34928640\"]\n  4 -> 9 [size =\"34928640\"]\n  4 -> 10 [size =\"34928640\"]\n  4 -> 11 [size =\"34928640\"]\n  4 -> 13 [size =\"34928640\"]\n  5 [size=\"18449920\", alpha=\"0.08\", expect_size=\"7379968\"] \n  5 -> 7 [size =\"7379968\"]\n  5 -> 8 [size =\"7379968\"]\n  5 -> 9 [size =\"7379968\"]\n  5 -> 10 [size =\"7379968\"]\n  5 -> 13 [size =\"7379968\"]\n  6 [size=\"100124160\", alpha=\"0.04\", expect_size=\"40049664\"] \n  6 -> 7 [size =\"40049664\"]\n  6 -> 9 [size =\"40049664\"]\n  6 -> 10 [size =\"40049664\"]\n  6 -> 10 [size =\"40049664\"]\n  6 -> 12 [size =\"40049664\"]\n  6 -> 13 [size =\"40049664\"]\n  7 [size=\"73285120\", alpha=\"0.19\", expect_size=\"29314048\"] \n  7 -> 14 [size =\"29314048\"]\n  7 -> 15 [size =\"29314048\"]\n  7 -> 16 [size =\"29314048\"]\n  7 -> 17 [size =\"29314048\"]\n  7 -> 20 [size =\"29314048\"]\n  8 [size=\"50526720\", alpha=\"0.18\", expect_size=\"20210688\"] \n  8 -> 14 [size =\"20210688\"]\n  8 -> 15 [size =\"20210688\"]\n  8 -> 16 [size =\"20210688\"]\n  8 -> 19 [size =\"20210688\"]\n  9 [size=\"66833920\", alpha=\"0.17\", expect_size=\"26733568\"] \n  9 -> 14 [size =\"26733568\"]\n  9 -> 15 [size =\"26733568\"]\n  9 -> 16 [size =\"26733568\"]\n  9 -> 17 [size =\"26733568\"]\n  9 -> 20 [size =\"26733568\"]\n  10 [size=\"58222080\", alpha=\"0.08\", expect_size=\"23288832\"] \n  10 -> 14 [size =\"23288832\"]\n  10 -> 15 [size =\"23288832\"]\n  10 -> 16 [size =\"23288832\"]\n  10 -> 17 [size =\"23288832\"]\n  11 [size=\"112788480\", alpha=\"0.13\", expect_size=\"45115392\"] \n  11 -> 14 [size =\"45115392\"]\n  11 -> 15 [size =\"45115392\"]\n  11 -> 16 [size =\"45115392\"]\n  11 -> 17 [size =\"45115392\"]\n  11 -> 18 [size =\"45115392\"]\n  12 [size=\"108405760\", alpha=\"0.15\", expect_size=\"43362304\"] \n  12 -> 14 [size =\"43362304\"]\n  12 -> 15 [size =\"43362304\"]\n  12 -> 16 [size =\"43362304\"]\n  12 -> 18 [size =\"43362304\"]\n  13 [size=\"104640000\", alpha=\"0.11\", expect_size=\"41856000\"] \n  13 -> 14 [size =\"41856000\"]\n  13 -> 15 [size =\"41856000\"]\n  13 -> 16 [size =\"41856000\"]\n  13 -> 17 [size =\"41856000\"]\n  13 -> 18 [size =\"41856000\"]\n  14 [size=\"102039040\", alpha=\"0.04\", expect_size=\"40815616\"] \n  14 -> 21 [size =\"40815616\"]\n  14 -> 22 [size =\"40815616\"]\n  15 [size=\"46169600\", alpha=\"0.07\", expect_size=\"18467840\"] \n  16 [size=\"91852800\", alpha=\"0.20\", expect_size=\"36741120\"] \n  17 [size=\"115816960\", alpha=\"0.15\", expect_size=\"46326784\"] \n  17 -> 22 [size =\"46326784\"]\n  18 [size=\"110438400\", alpha=\"0.15\", expect_size=\"44175360\"] \n  18 -> 21 [size =\"44175360\"]\n  18 -> 22 [size =\"44175360\"]\n  19 [size=\"100848640\", alpha=\"0.09\", expect_size=\"40339456\"] \n  19 -> 21 [size =\"40339456\"]\n  19 -> 22 [size =\"40339456\"]\n  20 [size=\"82964480\", alpha=\"0.05\", expect_size=\"33185792\"] \n  20 -> 21 [size =\"33185792\"]\n  20 -> 22 [size =\"33185792\"]\n  21 [size=\"128409600\", alpha=\"0.03\", expect_size=\"51363840\"] \n  21 -> 23 [size =\"51363840\"]\n  21 -> 24 [size =\"51363840\"]\n  21 -> 25 [size =\"51363840\"]\n  21 -> 26 [size =\"51363840\"]\n  21 -> 27 [size =\"51363840\"]\n  22 [size=\"84712960\", alpha=\"0.11\", expect_size=\"33885184\"] \n  22 -> 23 [size =\"33885184\"]\n  22 -> 25 [size =\"33885184\"]\n  22 -> 26 [size =\"33885184\"]\n  22 -> 27 [size =\"33885184\"]\n  23 [size=\"56120320\", alpha=\"0.20\", expect_size=\"22448128\"] \n  23 -> 29 [size =\"22448128\"]\n  23 -> 30 [size =\"22448128\"]\n  24 [size=\"119685120\", alpha=\"0.02\", expect_size=\"47874048\"] \n  24 -> 28 [size =\"47874048\"]\n  24 -> 29 [size =\"47874048\"]\n  24 -> 30 [size =\"47874048\"]\n  25 [size=\"28098560\", alpha=\"0.04\", expect_size=\"11239424\"] \n  25 -> 28 [size =\"11239424\"]\n  26 [size=\"69875200\", alpha=\"0.02\", expect_size=\"27950080\"] \n  26 -> 28 [size =\"27950080\"]\n  26 -> 29 [size =\"27950080\"]\n  26 -> 30 [size =\"27950080\"]\n  27 [size=\"67983360\", alpha=\"0.09\", expect_size=\"27193344\"] \n  27 -> 28 [size =\"27193344\"]\n  27 -> 29 [size =\"27193344\"]\n  28 [size=\"40168960\", alpha=\"0.03\", expect_size=\"16067584\"] \n  29 [size=\"127669760\", alpha=\"0.06\", expect_size=\"51067904\"] \n  30 [size=\"63708160\", alpha=\"0.17\", expect_size=\"25483264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52893696\", alpha=\"0.07\", expect_size=\"26446848\"] \n  1 -> 2 [size =\"26446848\"]\n  2 [size=\"60473344\", alpha=\"0.09\", expect_size=\"30236672\"] \n  2 -> 3 [size =\"30236672\"]\n  2 -> 4 [size =\"30236672\"]\n  3 [size=\"32387072\", alpha=\"0.04\", expect_size=\"16193536\"] \n  3 -> 5 [size =\"16193536\"]\n  3 -> 6 [size =\"16193536\"]\n  4 [size=\"25071616\", alpha=\"0.04\", expect_size=\"12535808\"] \n  4 -> 6 [size =\"12535808\"]\n  5 [size=\"67887104\", alpha=\"0.14\", expect_size=\"33943552\"] \n  5 -> 7 [size =\"33943552\"]\n  5 -> 8 [size =\"33943552\"]\n  6 [size=\"41265152\", alpha=\"0.12\", expect_size=\"20632576\"] \n  6 -> 7 [size =\"20632576\"]\n  6 -> 8 [size =\"20632576\"]\n  7 [size=\"22558720\", alpha=\"0.04\", expect_size=\"11279360\"] \n  7 -> 9 [size =\"11279360\"]\n  8 [size=\"41086976\", alpha=\"0.19\", expect_size=\"20543488\"] \n  8 -> 9 [size =\"20543488\"]\n  8 -> 10 [size =\"20543488\"]\n  9 [size=\"74305536\", alpha=\"0.09\", expect_size=\"37152768\"] \n  9 -> 11 [size =\"37152768\"]\n  9 -> 12 [size =\"37152768\"]\n  10 [size=\"78542848\", alpha=\"0.20\", expect_size=\"39271424\"] \n  10 -> 11 [size =\"39271424\"]\n  10 -> 12 [size =\"39271424\"]\n  11 [size=\"71720960\", alpha=\"0.10\", expect_size=\"35860480\"] \n  11 -> 14 [size =\"35860480\"]\n  12 [size=\"103938048\", alpha=\"0.19\", expect_size=\"51969024\"] \n  12 -> 13 [size =\"51969024\"]\n  13 [size=\"53334016\", alpha=\"0.06\", expect_size=\"26667008\"] \n  13 -> 15 [size =\"26667008\"]\n  13 -> 16 [size =\"26667008\"]\n  14 [size=\"72359936\", alpha=\"0.07\", expect_size=\"36179968\"] \n  14 -> 15 [size =\"36179968\"]\n  14 -> 16 [size =\"36179968\"]\n  15 [size=\"89311232\", alpha=\"0.13\", expect_size=\"44655616\"] \n  16 [size=\"61976576\", alpha=\"0.17\", expect_size=\"30988288\"] \n  16 -> 17 [size =\"30988288\"]\n  17 [size=\"25417728\", alpha=\"0.17\", expect_size=\"12708864\"] \n  17 -> 18 [size =\"12708864\"]\n  18 [size=\"42799104\", alpha=\"0.01\", expect_size=\"21399552\"] \n  18 -> 19 [size =\"21399552\"]\n  18 -> 20 [size =\"21399552\"]\n  19 [size=\"40280064\", alpha=\"0.02\", expect_size=\"20140032\"] \n  19 -> 21 [size =\"20140032\"]\n  20 [size=\"80971776\", alpha=\"0.14\", expect_size=\"40485888\"] \n  20 -> 21 [size =\"40485888\"]\n  21 [size=\"79290368\", alpha=\"0.15\", expect_size=\"39645184\"] \n  21 -> 22 [size =\"39645184\"]\n  21 -> 23 [size =\"39645184\"]\n  22 [size=\"32993280\", alpha=\"0.06\", expect_size=\"16496640\"] \n  22 -> 24 [size =\"16496640\"]\n  23 [size=\"28188672\", alpha=\"0.02\", expect_size=\"14094336\"] \n  24 [size=\"58023936\", alpha=\"0.02\", expect_size=\"29011968\"] \n  24 -> 25 [size =\"29011968\"]\n  25 [size=\"91457536\", alpha=\"0.13\", expect_size=\"45728768\"] \n  25 -> 26 [size =\"45728768\"]\n  25 -> 27 [size =\"45728768\"]\n  26 [size=\"58101760\", alpha=\"0.11\", expect_size=\"29050880\"] \n  26 -> 28 [size =\"29050880\"]\n  26 -> 29 [size =\"29050880\"]\n  27 [size=\"43159552\", alpha=\"0.11\", expect_size=\"21579776\"] \n  27 -> 28 [size =\"21579776\"]\n  27 -> 29 [size =\"21579776\"]\n  28 [size=\"30773248\", alpha=\"0.18\", expect_size=\"15386624\"] \n  28 -> 30 [size =\"15386624\"]\n  29 [size=\"34537472\", alpha=\"0.19\", expect_size=\"17268736\"] \n  29 -> 30 [size =\"17268736\"]\n  30 [size=\"43253760\", alpha=\"0.14\", expect_size=\"21626880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125752320\", alpha=\"0.14\", expect_size=\"50300928\"] \n  1 -> 2 [size =\"50300928\"]\n  2 [size=\"63654400\", alpha=\"0.06\", expect_size=\"25461760\"] \n  2 -> 3 [size =\"25461760\"]\n  3 [size=\"24729600\", alpha=\"0.03\", expect_size=\"9891840\"] \n  3 -> 4 [size =\"9891840\"]\n  3 -> 5 [size =\"9891840\"]\n  4 [size=\"121387520\", alpha=\"0.05\", expect_size=\"48555008\"] \n  4 -> 6 [size =\"48555008\"]\n  5 [size=\"19481600\", alpha=\"0.10\", expect_size=\"7792640\"] \n  5 -> 6 [size =\"7792640\"]\n  6 [size=\"119040000\", alpha=\"0.09\", expect_size=\"47616000\"] \n  6 -> 7 [size =\"47616000\"]\n  6 -> 8 [size =\"47616000\"]\n  7 [size=\"22597120\", alpha=\"0.02\", expect_size=\"9038848\"] \n  7 -> 9 [size =\"9038848\"]\n  8 [size=\"94873600\", alpha=\"0.02\", expect_size=\"37949440\"] \n  8 -> 9 [size =\"37949440\"]\n  9 [size=\"28897280\", alpha=\"0.10\", expect_size=\"11558912\"] \n  9 -> 10 [size =\"11558912\"]\n  9 -> 11 [size =\"11558912\"]\n  10 [size=\"38215680\", alpha=\"0.06\", expect_size=\"15286272\"] \n  10 -> 12 [size =\"15286272\"]\n  11 [size=\"117411840\", alpha=\"0.04\", expect_size=\"46964736\"] \n  11 -> 12 [size =\"46964736\"]\n  12 [size=\"79805440\", alpha=\"0.08\", expect_size=\"31922176\"] \n  12 -> 13 [size =\"31922176\"]\n  12 -> 14 [size =\"31922176\"]\n  13 [size=\"113538560\", alpha=\"0.05\", expect_size=\"45415424\"] \n  13 -> 15 [size =\"45415424\"]\n  14 [size=\"15070720\", alpha=\"0.06\", expect_size=\"6028288\"] \n  14 -> 15 [size =\"6028288\"]\n  14 -> 16 [size =\"6028288\"]\n  15 [size=\"44080640\", alpha=\"0.03\", expect_size=\"17632256\"] \n  15 -> 17 [size =\"17632256\"]\n  15 -> 18 [size =\"17632256\"]\n  16 [size=\"105123840\", alpha=\"0.01\", expect_size=\"42049536\"] \n  16 -> 17 [size =\"42049536\"]\n  17 [size=\"39114240\", alpha=\"0.17\", expect_size=\"15645696\"] \n  17 -> 19 [size =\"15645696\"]\n  18 [size=\"51489280\", alpha=\"0.16\", expect_size=\"20595712\"] \n  18 -> 19 [size =\"20595712\"]\n  19 [size=\"62320640\", alpha=\"0.04\", expect_size=\"24928256\"] \n  19 -> 20 [size =\"24928256\"]\n  19 -> 21 [size =\"24928256\"]\n  20 [size=\"121512960\", alpha=\"0.08\", expect_size=\"48605184\"] \n  20 -> 22 [size =\"48605184\"]\n  21 [size=\"36431360\", alpha=\"0.12\", expect_size=\"14572544\"] \n  21 -> 22 [size =\"14572544\"]\n  22 [size=\"62287360\", alpha=\"0.04\", expect_size=\"24914944\"] \n  22 -> 23 [size =\"24914944\"]\n  23 [size=\"111426560\", alpha=\"0.18\", expect_size=\"44570624\"] \n  23 -> 24 [size =\"44570624\"]\n  24 [size=\"24670720\", alpha=\"0.10\", expect_size=\"9868288\"] \n  24 -> 25 [size =\"9868288\"]\n  25 [size=\"58301440\", alpha=\"0.04\", expect_size=\"23320576\"] \n  25 -> 26 [size =\"23320576\"]\n  25 -> 27 [size =\"23320576\"]\n  26 [size=\"77903360\", alpha=\"0.15\", expect_size=\"31161344\"] \n  26 -> 28 [size =\"31161344\"]\n  26 -> 29 [size =\"31161344\"]\n  27 [size=\"86612480\", alpha=\"0.08\", expect_size=\"34644992\"] \n  27 -> 29 [size =\"34644992\"]\n  28 [size=\"68956160\", alpha=\"0.15\", expect_size=\"27582464\"] \n  28 -> 30 [size =\"27582464\"]\n  29 [size=\"43599360\", alpha=\"0.05\", expect_size=\"17439744\"] \n  29 -> 30 [size =\"17439744\"]\n  30 [size=\"65776640\", alpha=\"0.19\", expect_size=\"26310656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115645440\", alpha=\"0.19\", expect_size=\"46258176\"] \n  1 -> 21 [size =\"46258176\"]\n  1 -> 28 [size =\"46258176\"]\n  2 [size=\"93473280\", alpha=\"0.04\", expect_size=\"37389312\"] \n  2 -> 22 [size =\"37389312\"]\n  2 -> 23 [size =\"37389312\"]\n  2 -> 28 [size =\"37389312\"]\n  3 [size=\"39787520\", alpha=\"0.01\", expect_size=\"15915008\"] \n  3 -> 22 [size =\"15915008\"]\n  4 [size=\"66114560\", alpha=\"0.05\", expect_size=\"26445824\"] \n  4 -> 22 [size =\"26445824\"]\n  4 -> 28 [size =\"26445824\"]\n  5 [size=\"122670080\", alpha=\"0.11\", expect_size=\"49068032\"] \n  5 -> 29 [size =\"49068032\"]\n  6 [size=\"25292800\", alpha=\"0.13\", expect_size=\"10117120\"] \n  6 -> 21 [size =\"10117120\"]\n  6 -> 23 [size =\"10117120\"]\n  6 -> 29 [size =\"10117120\"]\n  6 -> 30 [size =\"10117120\"]\n  7 [size=\"35043840\", alpha=\"0.19\", expect_size=\"14017536\"] \n  7 -> 22 [size =\"14017536\"]\n  7 -> 23 [size =\"14017536\"]\n  8 [size=\"99427840\", alpha=\"0.19\", expect_size=\"39771136\"] \n  8 -> 25 [size =\"39771136\"]\n  8 -> 26 [size =\"39771136\"]\n  8 -> 28 [size =\"39771136\"]\n  8 -> 29 [size =\"39771136\"]\n  9 [size=\"34465280\", alpha=\"0.17\", expect_size=\"13786112\"] \n  9 -> 21 [size =\"13786112\"]\n  9 -> 23 [size =\"13786112\"]\n  9 -> 25 [size =\"13786112\"]\n  9 -> 28 [size =\"13786112\"]\n  10 [size=\"100710400\", alpha=\"0.03\", expect_size=\"40284160\"] \n  10 -> 22 [size =\"40284160\"]\n  11 [size=\"67537920\", alpha=\"0.17\", expect_size=\"27015168\"] \n  11 -> 27 [size =\"27015168\"]\n  12 [size=\"63339520\", alpha=\"0.09\", expect_size=\"25335808\"] \n  12 -> 23 [size =\"25335808\"]\n  12 -> 24 [size =\"25335808\"]\n  13 [size=\"85219840\", alpha=\"0.10\", expect_size=\"34087936\"] \n  13 -> 22 [size =\"34087936\"]\n  13 -> 28 [size =\"34087936\"]\n  13 -> 30 [size =\"34087936\"]\n  14 [size=\"90851840\", alpha=\"0.06\", expect_size=\"36340736\"] \n  15 [size=\"118968320\", alpha=\"0.15\", expect_size=\"47587328\"] \n  15 -> 28 [size =\"47587328\"]\n  15 -> 30 [size =\"47587328\"]\n  16 [size=\"64025600\", alpha=\"0.15\", expect_size=\"25610240\"] \n  16 -> 24 [size =\"25610240\"]\n  16 -> 27 [size =\"25610240\"]\n  17 [size=\"20631040\", alpha=\"0.09\", expect_size=\"8252416\"] \n  17 -> 23 [size =\"8252416\"]\n  17 -> 28 [size =\"8252416\"]\n  18 [size=\"14056960\", alpha=\"0.09\", expect_size=\"5622784\"] \n  18 -> 26 [size =\"5622784\"]\n  18 -> 28 [size =\"5622784\"]\n  19 [size=\"126323200\", alpha=\"0.06\", expect_size=\"50529280\"] \n  19 -> 23 [size =\"50529280\"]\n  20 [size=\"107097600\", alpha=\"0.04\", expect_size=\"42839040\"] \n  20 -> 23 [size =\"42839040\"]\n  20 -> 28 [size =\"42839040\"]\n  21 [size=\"123146240\", alpha=\"0.20\", expect_size=\"49258496\"] \n  22 [size=\"106301440\", alpha=\"0.09\", expect_size=\"42520576\"] \n  23 [size=\"40629760\", alpha=\"0.02\", expect_size=\"16251904\"] \n  24 [size=\"102289920\", alpha=\"0.05\", expect_size=\"40915968\"] \n  25 [size=\"20577280\", alpha=\"0.06\", expect_size=\"8230912\"] \n  26 [size=\"109460480\", alpha=\"0.09\", expect_size=\"43784192\"] \n  27 [size=\"82872320\", alpha=\"0.16\", expect_size=\"33148928\"] \n  28 [size=\"19921920\", alpha=\"0.17\", expect_size=\"7968768\"] \n  29 [size=\"72084480\", alpha=\"0.02\", expect_size=\"28833792\"] \n  30 [size=\"110174720\", alpha=\"0.02\", expect_size=\"44069888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135222613\", alpha=\"0.16\", expect_size=\"40566784\"] \n  1 -> 13 [size =\"40566784\"]\n  2 [size=\"23521280\", alpha=\"0.19\", expect_size=\"7056384\"] \n  2 -> 9 [size =\"7056384\"]\n  2 -> 11 [size =\"7056384\"]\n  3 [size=\"90060800\", alpha=\"0.09\", expect_size=\"27018240\"] \n  3 -> 12 [size =\"27018240\"]\n  3 -> 13 [size =\"27018240\"]\n  4 [size=\"157269333\", alpha=\"0.12\", expect_size=\"47180800\"] \n  4 -> 7 [size =\"47180800\"]\n  4 -> 12 [size =\"47180800\"]\n  5 [size=\"50097493\", alpha=\"0.07\", expect_size=\"15029248\"] \n  5 -> 7 [size =\"15029248\"]\n  5 -> 8 [size =\"15029248\"]\n  5 -> 9 [size =\"15029248\"]\n  6 [size=\"28002987\", alpha=\"0.09\", expect_size=\"8400896\"] \n  6 -> 8 [size =\"8400896\"]\n  6 -> 9 [size =\"8400896\"]\n  6 -> 10 [size =\"8400896\"]\n  6 -> 11 [size =\"8400896\"]\n  6 -> 13 [size =\"8400896\"]\n  7 [size=\"79278080\", alpha=\"0.14\", expect_size=\"23783424\"] \n  7 -> 15 [size =\"23783424\"]\n  8 [size=\"174284800\", alpha=\"0.16\", expect_size=\"52285440\"] \n  8 -> 16 [size =\"52285440\"]\n  9 [size=\"42670080\", alpha=\"0.14\", expect_size=\"12801024\"] \n  9 -> 15 [size =\"12801024\"]\n  10 [size=\"81196373\", alpha=\"0.07\", expect_size=\"24358912\"] \n  11 [size=\"48165547\", alpha=\"0.18\", expect_size=\"14449664\"] \n  11 -> 14 [size =\"14449664\"]\n  12 [size=\"173813760\", alpha=\"0.11\", expect_size=\"52144128\"] \n  12 -> 16 [size =\"52144128\"]\n  13 [size=\"164874240\", alpha=\"0.03\", expect_size=\"49462272\"] \n  14 [size=\"75540480\", alpha=\"0.09\", expect_size=\"22662144\"] \n  14 -> 17 [size =\"22662144\"]\n  15 [size=\"172625920\", alpha=\"0.01\", expect_size=\"51787776\"] \n  15 -> 19 [size =\"51787776\"]\n  15 -> 21 [size =\"51787776\"]\n  16 [size=\"66867200\", alpha=\"0.08\", expect_size=\"20060160\"] \n  16 -> 18 [size =\"20060160\"]\n  16 -> 20 [size =\"20060160\"]\n  16 -> 21 [size =\"20060160\"]\n  17 [size=\"135611733\", alpha=\"0.11\", expect_size=\"40683520\"] \n  18 [size=\"91777707\", alpha=\"0.12\", expect_size=\"27533312\"] \n  19 [size=\"62091947\", alpha=\"0.10\", expect_size=\"18627584\"] \n  19 -> 22 [size =\"18627584\"]\n  19 -> 25 [size =\"18627584\"]\n  20 [size=\"18155520\", alpha=\"0.19\", expect_size=\"5446656\"] \n  20 -> 22 [size =\"5446656\"]\n  20 -> 23 [size =\"5446656\"]\n  20 -> 24 [size =\"5446656\"]\n  20 -> 25 [size =\"5446656\"]\n  21 [size=\"75257173\", alpha=\"0.02\", expect_size=\"22577152\"] \n  21 -> 22 [size =\"22577152\"]\n  21 -> 26 [size =\"22577152\"]\n  22 [size=\"56217600\", alpha=\"0.06\", expect_size=\"16865280\"] \n  22 -> 27 [size =\"16865280\"]\n  22 -> 28 [size =\"16865280\"]\n  22 -> 29 [size =\"16865280\"]\n  23 [size=\"145138347\", alpha=\"0.20\", expect_size=\"43541504\"] \n  24 [size=\"170120533\", alpha=\"0.11\", expect_size=\"51036160\"] \n  24 -> 30 [size =\"51036160\"]\n  25 [size=\"81261227\", alpha=\"0.06\", expect_size=\"24378368\"] \n  25 -> 29 [size =\"24378368\"]\n  26 [size=\"87336960\", alpha=\"0.03\", expect_size=\"26201088\"] \n  27 [size=\"148295680\", alpha=\"0.08\", expect_size=\"44488704\"] \n  28 [size=\"76922880\", alpha=\"0.12\", expect_size=\"23076864\"] \n  29 [size=\"168437760\", alpha=\"0.00\", expect_size=\"50531328\"] \n  30 [size=\"90815147\", alpha=\"0.16\", expect_size=\"27244544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120519680\", alpha=\"0.14\", expect_size=\"48207872\"] \n  1 -> 2 [size =\"48207872\"]\n  2 [size=\"103150080\", alpha=\"0.04\", expect_size=\"41260032\"] \n  2 -> 3 [size =\"41260032\"]\n  3 [size=\"130800640\", alpha=\"0.16\", expect_size=\"52320256\"] \n  3 -> 4 [size =\"52320256\"]\n  4 [size=\"120519680\", alpha=\"0.00\", expect_size=\"48207872\"] \n  4 -> 5 [size =\"48207872\"]\n  5 [size=\"93414400\", alpha=\"0.04\", expect_size=\"37365760\"] \n  5 -> 6 [size =\"37365760\"]\n  6 [size=\"24855040\", alpha=\"0.17\", expect_size=\"9942016\"] \n  6 -> 7 [size =\"9942016\"]\n  7 [size=\"101493760\", alpha=\"0.16\", expect_size=\"40597504\"] \n  7 -> 8 [size =\"40597504\"]\n  8 [size=\"98739200\", alpha=\"0.01\", expect_size=\"39495680\"] \n  8 -> 9 [size =\"39495680\"]\n  9 [size=\"61468160\", alpha=\"0.04\", expect_size=\"24587264\"] \n  9 -> 10 [size =\"24587264\"]\n  10 [size=\"78714880\", alpha=\"0.18\", expect_size=\"31485952\"] \n  10 -> 11 [size =\"31485952\"]\n  11 [size=\"72232960\", alpha=\"0.15\", expect_size=\"28893184\"] \n  11 -> 12 [size =\"28893184\"]\n  12 [size=\"34675200\", alpha=\"0.15\", expect_size=\"13870080\"] \n  12 -> 13 [size =\"13870080\"]\n  13 [size=\"57489920\", alpha=\"0.14\", expect_size=\"22995968\"] \n  13 -> 14 [size =\"22995968\"]\n  14 [size=\"34037760\", alpha=\"0.08\", expect_size=\"13615104\"] \n  14 -> 15 [size =\"13615104\"]\n  15 [size=\"35095040\", alpha=\"0.17\", expect_size=\"14038016\"] \n  15 -> 16 [size =\"14038016\"]\n  16 [size=\"59786240\", alpha=\"0.12\", expect_size=\"23914496\"] \n  16 -> 17 [size =\"23914496\"]\n  17 [size=\"42455040\", alpha=\"0.09\", expect_size=\"16982016\"] \n  17 -> 18 [size =\"16982016\"]\n  18 [size=\"17233920\", alpha=\"0.00\", expect_size=\"6893568\"] \n  18 -> 19 [size =\"6893568\"]\n  19 [size=\"22940160\", alpha=\"0.09\", expect_size=\"9176064\"] \n  19 -> 20 [size =\"9176064\"]\n  20 [size=\"43642880\", alpha=\"0.05\", expect_size=\"17457152\"] \n  20 -> 21 [size =\"17457152\"]\n  21 [size=\"32888320\", alpha=\"0.20\", expect_size=\"13155328\"] \n  21 -> 22 [size =\"13155328\"]\n  22 [size=\"121510400\", alpha=\"0.10\", expect_size=\"48604160\"] \n  22 -> 23 [size =\"48604160\"]\n  23 [size=\"90680320\", alpha=\"0.20\", expect_size=\"36272128\"] \n  23 -> 24 [size =\"36272128\"]\n  24 [size=\"55485440\", alpha=\"0.08\", expect_size=\"22194176\"] \n  24 -> 25 [size =\"22194176\"]\n  25 [size=\"100124160\", alpha=\"0.10\", expect_size=\"40049664\"] \n  25 -> 26 [size =\"40049664\"]\n  26 [size=\"79651840\", alpha=\"0.14\", expect_size=\"31860736\"] \n  26 -> 27 [size =\"31860736\"]\n  27 [size=\"31408640\", alpha=\"0.12\", expect_size=\"12563456\"] \n  27 -> 28 [size =\"12563456\"]\n  28 [size=\"85619200\", alpha=\"0.06\", expect_size=\"34247680\"] \n  28 -> 29 [size =\"34247680\"]\n  29 [size=\"87421440\", alpha=\"0.07\", expect_size=\"34968576\"] \n  29 -> 30 [size =\"34968576\"]\n  30 [size=\"21004800\", alpha=\"0.20\", expect_size=\"8401920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139946667\", alpha=\"0.18\", expect_size=\"41984000\"] \n  1 -> 4 [size =\"41984000\"]\n  2 [size=\"65358507\", alpha=\"0.01\", expect_size=\"19607552\"] \n  2 -> 3 [size =\"19607552\"]\n  2 -> 4 [size =\"19607552\"]\n  3 [size=\"59924480\", alpha=\"0.01\", expect_size=\"17977344\"] \n  3 -> 5 [size =\"17977344\"]\n  4 [size=\"113797120\", alpha=\"0.12\", expect_size=\"34139136\"] \n  4 -> 5 [size =\"34139136\"]\n  4 -> 6 [size =\"34139136\"]\n  5 [size=\"106236587\", alpha=\"0.10\", expect_size=\"31870976\"] \n  6 [size=\"132809387\", alpha=\"0.14\", expect_size=\"39842816\"] \n  6 -> 7 [size =\"39842816\"]\n  7 [size=\"135253333\", alpha=\"0.18\", expect_size=\"40576000\"] \n  7 -> 8 [size =\"40576000\"]\n  7 -> 9 [size =\"40576000\"]\n  8 [size=\"69898240\", alpha=\"0.04\", expect_size=\"20969472\"] \n  9 [size=\"131399680\", alpha=\"0.14\", expect_size=\"39419904\"] \n  9 -> 10 [size =\"39419904\"]\n  10 [size=\"157446827\", alpha=\"0.09\", expect_size=\"47234048\"] \n  10 -> 11 [size =\"47234048\"]\n  11 [size=\"174257493\", alpha=\"0.12\", expect_size=\"52277248\"] \n  11 -> 12 [size =\"52277248\"]\n  12 [size=\"160064853\", alpha=\"0.04\", expect_size=\"48019456\"] \n  12 -> 13 [size =\"48019456\"]\n  13 [size=\"167430827\", alpha=\"0.02\", expect_size=\"50229248\"] \n  13 -> 14 [size =\"50229248\"]\n  14 [size=\"18186240\", alpha=\"0.16\", expect_size=\"5455872\"] \n  14 -> 15 [size =\"5455872\"]\n  15 [size=\"114247680\", alpha=\"0.16\", expect_size=\"34274304\"] \n  15 -> 16 [size =\"34274304\"]\n  15 -> 17 [size =\"34274304\"]\n  16 [size=\"33563307\", alpha=\"0.00\", expect_size=\"10068992\"] \n  16 -> 18 [size =\"10068992\"]\n  16 -> 19 [size =\"10068992\"]\n  17 [size=\"140619093\", alpha=\"0.12\", expect_size=\"42185728\"] \n  17 -> 18 [size =\"42185728\"]\n  17 -> 19 [size =\"42185728\"]\n  18 [size=\"125272747\", alpha=\"0.14\", expect_size=\"37581824\"] \n  18 -> 20 [size =\"37581824\"]\n  19 [size=\"156801707\", alpha=\"0.12\", expect_size=\"47040512\"] \n  19 -> 20 [size =\"47040512\"]\n  20 [size=\"109684053\", alpha=\"0.08\", expect_size=\"32905216\"] \n  20 -> 21 [size =\"32905216\"]\n  21 [size=\"22975147\", alpha=\"0.01\", expect_size=\"6892544\"] \n  21 -> 22 [size =\"6892544\"]\n  21 -> 23 [size =\"6892544\"]\n  22 [size=\"118316373\", alpha=\"0.19\", expect_size=\"35494912\"] \n  22 -> 24 [size =\"35494912\"]\n  23 [size=\"146500267\", alpha=\"0.03\", expect_size=\"43950080\"] \n  24 [size=\"159371947\", alpha=\"0.19\", expect_size=\"47811584\"] \n  24 -> 25 [size =\"47811584\"]\n  25 [size=\"128945493\", alpha=\"0.06\", expect_size=\"38683648\"] \n  25 -> 26 [size =\"38683648\"]\n  25 -> 27 [size =\"38683648\"]\n  26 [size=\"99307520\", alpha=\"0.08\", expect_size=\"29792256\"] \n  26 -> 28 [size =\"29792256\"]\n  26 -> 29 [size =\"29792256\"]\n  27 [size=\"100594347\", alpha=\"0.05\", expect_size=\"30178304\"] \n  27 -> 28 [size =\"30178304\"]\n  27 -> 29 [size =\"30178304\"]\n  28 [size=\"34600960\", alpha=\"0.09\", expect_size=\"10380288\"] \n  28 -> 30 [size =\"10380288\"]\n  29 [size=\"147411627\", alpha=\"0.07\", expect_size=\"44223488\"] \n  30 [size=\"81093973\", alpha=\"0.03\", expect_size=\"24328192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20738560\", alpha=\"0.05\", expect_size=\"8295424\"] \n  1 -> 20 [size =\"8295424\"]\n  1 -> 21 [size =\"8295424\"]\n  1 -> 23 [size =\"8295424\"]\n  1 -> 25 [size =\"8295424\"]\n  1 -> 26 [size =\"8295424\"]\n  2 [size=\"27200000\", alpha=\"0.06\", expect_size=\"10880000\"] \n  2 -> 20 [size =\"10880000\"]\n  2 -> 24 [size =\"10880000\"]\n  2 -> 26 [size =\"10880000\"]\n  2 -> 28 [size =\"10880000\"]\n  2 -> 30 [size =\"10880000\"]\n  3 [size=\"29283840\", alpha=\"0.15\", expect_size=\"11713536\"] \n  3 -> 20 [size =\"11713536\"]\n  3 -> 24 [size =\"11713536\"]\n  3 -> 27 [size =\"11713536\"]\n  3 -> 30 [size =\"11713536\"]\n  3 -> 30 [size =\"11713536\"]\n  4 [size=\"121740800\", alpha=\"0.08\", expect_size=\"48696320\"] \n  4 -> 23 [size =\"48696320\"]\n  4 -> 24 [size =\"48696320\"]\n  4 -> 30 [size =\"48696320\"]\n  5 [size=\"59020800\", alpha=\"0.08\", expect_size=\"23608320\"] \n  5 -> 23 [size =\"23608320\"]\n  5 -> 24 [size =\"23608320\"]\n  5 -> 26 [size =\"23608320\"]\n  5 -> 30 [size =\"23608320\"]\n  6 [size=\"97093120\", alpha=\"0.02\", expect_size=\"38837248\"] \n  6 -> 21 [size =\"38837248\"]\n  6 -> 23 [size =\"38837248\"]\n  6 -> 24 [size =\"38837248\"]\n  6 -> 26 [size =\"38837248\"]\n  6 -> 28 [size =\"38837248\"]\n  6 -> 29 [size =\"38837248\"]\n  7 [size=\"104268800\", alpha=\"0.02\", expect_size=\"41707520\"] \n  7 -> 20 [size =\"41707520\"]\n  7 -> 23 [size =\"41707520\"]\n  7 -> 24 [size =\"41707520\"]\n  7 -> 29 [size =\"41707520\"]\n  8 [size=\"92986880\", alpha=\"0.01\", expect_size=\"37194752\"] \n  8 -> 20 [size =\"37194752\"]\n  8 -> 22 [size =\"37194752\"]\n  8 -> 23 [size =\"37194752\"]\n  8 -> 29 [size =\"37194752\"]\n  9 [size=\"130621440\", alpha=\"0.12\", expect_size=\"52248576\"] \n  9 -> 23 [size =\"52248576\"]\n  9 -> 24 [size =\"52248576\"]\n  9 -> 25 [size =\"52248576\"]\n  9 -> 29 [size =\"52248576\"]\n  10 [size=\"97354240\", alpha=\"0.13\", expect_size=\"38941696\"] \n  10 -> 23 [size =\"38941696\"]\n  10 -> 24 [size =\"38941696\"]\n  11 [size=\"25671680\", alpha=\"0.12\", expect_size=\"10268672\"] \n  11 -> 21 [size =\"10268672\"]\n  11 -> 22 [size =\"10268672\"]\n  11 -> 24 [size =\"10268672\"]\n  12 [size=\"55411200\", alpha=\"0.10\", expect_size=\"22164480\"] \n  12 -> 20 [size =\"22164480\"]\n  12 -> 22 [size =\"22164480\"]\n  12 -> 23 [size =\"22164480\"]\n  12 -> 24 [size =\"22164480\"]\n  13 [size=\"89966080\", alpha=\"0.01\", expect_size=\"35986432\"] \n  13 -> 20 [size =\"35986432\"]\n  13 -> 23 [size =\"35986432\"]\n  13 -> 24 [size =\"35986432\"]\n  13 -> 26 [size =\"35986432\"]\n  13 -> 29 [size =\"35986432\"]\n  14 [size=\"60674560\", alpha=\"0.19\", expect_size=\"24269824\"] \n  14 -> 21 [size =\"24269824\"]\n  14 -> 22 [size =\"24269824\"]\n  14 -> 24 [size =\"24269824\"]\n  14 -> 25 [size =\"24269824\"]\n  14 -> 29 [size =\"24269824\"]\n  14 -> 30 [size =\"24269824\"]\n  15 [size=\"109588480\", alpha=\"0.02\", expect_size=\"43835392\"] \n  15 -> 20 [size =\"43835392\"]\n  15 -> 29 [size =\"43835392\"]\n  15 -> 30 [size =\"43835392\"]\n  16 [size=\"36300800\", alpha=\"0.10\", expect_size=\"14520320\"] \n  16 -> 26 [size =\"14520320\"]\n  16 -> 29 [size =\"14520320\"]\n  17 [size=\"46978560\", alpha=\"0.18\", expect_size=\"18791424\"] \n  17 -> 20 [size =\"18791424\"]\n  17 -> 21 [size =\"18791424\"]\n  17 -> 24 [size =\"18791424\"]\n  17 -> 26 [size =\"18791424\"]\n  17 -> 29 [size =\"18791424\"]\n  18 [size=\"57034240\", alpha=\"0.14\", expect_size=\"22813696\"] \n  18 -> 20 [size =\"22813696\"]\n  18 -> 22 [size =\"22813696\"]\n  18 -> 23 [size =\"22813696\"]\n  18 -> 24 [size =\"22813696\"]\n  18 -> 26 [size =\"22813696\"]\n  18 -> 29 [size =\"22813696\"]\n  19 [size=\"63887360\", alpha=\"0.18\", expect_size=\"25554944\"] \n  19 -> 20 [size =\"25554944\"]\n  19 -> 21 [size =\"25554944\"]\n  19 -> 23 [size =\"25554944\"]\n  19 -> 25 [size =\"25554944\"]\n  19 -> 30 [size =\"25554944\"]\n  20 [size=\"18977280\", alpha=\"0.15\", expect_size=\"7590912\"] \n  21 [size=\"97331200\", alpha=\"0.14\", expect_size=\"38932480\"] \n  22 [size=\"49205760\", alpha=\"0.16\", expect_size=\"19682304\"] \n  23 [size=\"109900800\", alpha=\"0.20\", expect_size=\"43960320\"] \n  24 [size=\"118159360\", alpha=\"0.02\", expect_size=\"47263744\"] \n  25 [size=\"112250880\", alpha=\"0.12\", expect_size=\"44900352\"] \n  26 [size=\"125084160\", alpha=\"0.17\", expect_size=\"50033664\"] \n  27 [size=\"64924160\", alpha=\"0.17\", expect_size=\"25969664\"] \n  28 [size=\"53043200\", alpha=\"0.10\", expect_size=\"21217280\"] \n  29 [size=\"16424960\", alpha=\"0.04\", expect_size=\"6569984\"] \n  30 [size=\"120522240\", alpha=\"0.12\", expect_size=\"48208896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63598592\", alpha=\"0.01\", expect_size=\"31799296\"] \n  1 -> 12 [size =\"31799296\"]\n  1 -> 13 [size =\"31799296\"]\n  1 -> 17 [size =\"31799296\"]\n  2 [size=\"23543808\", alpha=\"0.15\", expect_size=\"11771904\"] \n  2 -> 12 [size =\"11771904\"]\n  2 -> 13 [size =\"11771904\"]\n  2 -> 17 [size =\"11771904\"]\n  2 -> 19 [size =\"11771904\"]\n  3 [size=\"31029248\", alpha=\"0.05\", expect_size=\"15514624\"] \n  3 -> 12 [size =\"15514624\"]\n  3 -> 15 [size =\"15514624\"]\n  4 [size=\"26925056\", alpha=\"0.17\", expect_size=\"13462528\"] \n  4 -> 13 [size =\"13462528\"]\n  5 [size=\"64137216\", alpha=\"0.15\", expect_size=\"32068608\"] \n  5 -> 13 [size =\"32068608\"]\n  5 -> 15 [size =\"32068608\"]\n  5 -> 17 [size =\"32068608\"]\n  5 -> 18 [size =\"32068608\"]\n  6 [size=\"81883136\", alpha=\"0.08\", expect_size=\"40941568\"] \n  6 -> 12 [size =\"40941568\"]\n  6 -> 15 [size =\"40941568\"]\n  6 -> 16 [size =\"40941568\"]\n  6 -> 18 [size =\"40941568\"]\n  7 [size=\"10954752\", alpha=\"0.08\", expect_size=\"5477376\"] \n  7 -> 15 [size =\"5477376\"]\n  7 -> 16 [size =\"5477376\"]\n  8 [size=\"79822848\", alpha=\"0.18\", expect_size=\"39911424\"] \n  8 -> 12 [size =\"39911424\"]\n  8 -> 14 [size =\"39911424\"]\n  8 -> 18 [size =\"39911424\"]\n  9 [size=\"16791552\", alpha=\"0.07\", expect_size=\"8395776\"] \n  9 -> 15 [size =\"8395776\"]\n  9 -> 17 [size =\"8395776\"]\n  9 -> 18 [size =\"8395776\"]\n  10 [size=\"19456000\", alpha=\"0.11\", expect_size=\"9728000\"] \n  10 -> 12 [size =\"9728000\"]\n  10 -> 13 [size =\"9728000\"]\n  10 -> 15 [size =\"9728000\"]\n  10 -> 17 [size =\"9728000\"]\n  11 [size=\"82380800\", alpha=\"0.03\", expect_size=\"41190400\"] \n  11 -> 12 [size =\"41190400\"]\n  11 -> 13 [size =\"41190400\"]\n  11 -> 15 [size =\"41190400\"]\n  12 [size=\"87791616\", alpha=\"0.01\", expect_size=\"43895808\"] \n  12 -> 22 [size =\"43895808\"]\n  12 -> 24 [size =\"43895808\"]\n  12 -> 28 [size =\"43895808\"]\n  13 [size=\"63600640\", alpha=\"0.16\", expect_size=\"31800320\"] \n  13 -> 20 [size =\"31800320\"]\n  13 -> 21 [size =\"31800320\"]\n  13 -> 28 [size =\"31800320\"]\n  13 -> 30 [size =\"31800320\"]\n  14 [size=\"86192128\", alpha=\"0.16\", expect_size=\"43096064\"] \n  14 -> 20 [size =\"43096064\"]\n  14 -> 21 [size =\"43096064\"]\n  14 -> 23 [size =\"43096064\"]\n  14 -> 25 [size =\"43096064\"]\n  14 -> 30 [size =\"43096064\"]\n  15 [size=\"73558016\", alpha=\"0.11\", expect_size=\"36779008\"] \n  15 -> 21 [size =\"36779008\"]\n  15 -> 23 [size =\"36779008\"]\n  15 -> 25 [size =\"36779008\"]\n  15 -> 26 [size =\"36779008\"]\n  16 [size=\"48351232\", alpha=\"0.09\", expect_size=\"24175616\"] \n  16 -> 23 [size =\"24175616\"]\n  16 -> 27 [size =\"24175616\"]\n  17 [size=\"86888448\", alpha=\"0.18\", expect_size=\"43444224\"] \n  17 -> 22 [size =\"43444224\"]\n  17 -> 23 [size =\"43444224\"]\n  17 -> 24 [size =\"43444224\"]\n  17 -> 25 [size =\"43444224\"]\n  17 -> 26 [size =\"43444224\"]\n  18 [size=\"31043584\", alpha=\"0.08\", expect_size=\"15521792\"] \n  18 -> 23 [size =\"15521792\"]\n  18 -> 24 [size =\"15521792\"]\n  18 -> 26 [size =\"15521792\"]\n  18 -> 29 [size =\"15521792\"]\n  19 [size=\"21807104\", alpha=\"0.14\", expect_size=\"10903552\"] \n  19 -> 21 [size =\"10903552\"]\n  19 -> 24 [size =\"10903552\"]\n  19 -> 25 [size =\"10903552\"]\n  19 -> 26 [size =\"10903552\"]\n  19 -> 27 [size =\"10903552\"]\n  20 [size=\"52498432\", alpha=\"0.15\", expect_size=\"26249216\"] \n  21 [size=\"103454720\", alpha=\"0.07\", expect_size=\"51727360\"] \n  22 [size=\"23754752\", alpha=\"0.02\", expect_size=\"11877376\"] \n  23 [size=\"26843136\", alpha=\"0.01\", expect_size=\"13421568\"] \n  24 [size=\"101992448\", alpha=\"0.03\", expect_size=\"50996224\"] \n  25 [size=\"83677184\", alpha=\"0.17\", expect_size=\"41838592\"] \n  26 [size=\"40026112\", alpha=\"0.07\", expect_size=\"20013056\"] \n  27 [size=\"81455104\", alpha=\"0.16\", expect_size=\"40727552\"] \n  28 [size=\"73390080\", alpha=\"0.20\", expect_size=\"36695040\"] \n  29 [size=\"17973248\", alpha=\"0.05\", expect_size=\"8986624\"] \n  30 [size=\"83556352\", alpha=\"0.12\", expect_size=\"41778176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99348480\", alpha=\"0.14\", expect_size=\"29804544\"] \n  1 -> 12 [size =\"29804544\"]\n  1 -> 13 [size =\"29804544\"]\n  1 -> 18 [size =\"29804544\"]\n  1 -> 19 [size =\"29804544\"]\n  2 [size=\"51810987\", alpha=\"0.03\", expect_size=\"15543296\"] \n  2 -> 12 [size =\"15543296\"]\n  3 [size=\"91067733\", alpha=\"0.14\", expect_size=\"27320320\"] \n  3 -> 12 [size =\"27320320\"]\n  3 -> 15 [size =\"27320320\"]\n  3 -> 16 [size =\"27320320\"]\n  4 [size=\"76216320\", alpha=\"0.07\", expect_size=\"22864896\"] \n  4 -> 14 [size =\"22864896\"]\n  4 -> 18 [size =\"22864896\"]\n  4 -> 20 [size =\"22864896\"]\n  5 [size=\"165597867\", alpha=\"0.10\", expect_size=\"49679360\"] \n  6 [size=\"147930453\", alpha=\"0.12\", expect_size=\"44379136\"] \n  6 -> 14 [size =\"44379136\"]\n  6 -> 15 [size =\"44379136\"]\n  6 -> 17 [size =\"44379136\"]\n  6 -> 18 [size =\"44379136\"]\n  7 [size=\"160515413\", alpha=\"0.00\", expect_size=\"48154624\"] \n  7 -> 14 [size =\"48154624\"]\n  7 -> 18 [size =\"48154624\"]\n  8 [size=\"161160533\", alpha=\"0.10\", expect_size=\"48348160\"] \n  8 -> 14 [size =\"48348160\"]\n  8 -> 15 [size =\"48348160\"]\n  8 -> 16 [size =\"48348160\"]\n  8 -> 18 [size =\"48348160\"]\n  8 -> 19 [size =\"48348160\"]\n  9 [size=\"118316373\", alpha=\"0.15\", expect_size=\"35494912\"] \n  9 -> 14 [size =\"35494912\"]\n  9 -> 19 [size =\"35494912\"]\n  10 [size=\"84828160\", alpha=\"0.04\", expect_size=\"25448448\"] \n  10 -> 12 [size =\"25448448\"]\n  10 -> 14 [size =\"25448448\"]\n  10 -> 15 [size =\"25448448\"]\n  10 -> 20 [size =\"25448448\"]\n  11 [size=\"174690987\", alpha=\"0.02\", expect_size=\"52407296\"] \n  11 -> 12 [size =\"52407296\"]\n  11 -> 20 [size =\"52407296\"]\n  12 [size=\"129983147\", alpha=\"0.17\", expect_size=\"38994944\"] \n  12 -> 22 [size =\"38994944\"]\n  12 -> 25 [size =\"38994944\"]\n  13 [size=\"154405547\", alpha=\"0.03\", expect_size=\"46321664\"] \n  13 -> 22 [size =\"46321664\"]\n  13 -> 23 [size =\"46321664\"]\n  13 -> 26 [size =\"46321664\"]\n  13 -> 27 [size =\"46321664\"]\n  14 [size=\"110254080\", alpha=\"0.16\", expect_size=\"33076224\"] \n  14 -> 22 [size =\"33076224\"]\n  14 -> 23 [size =\"33076224\"]\n  14 -> 26 [size =\"33076224\"]\n  15 [size=\"162792107\", alpha=\"0.02\", expect_size=\"48837632\"] \n  15 -> 27 [size =\"48837632\"]\n  16 [size=\"86903467\", alpha=\"0.19\", expect_size=\"26071040\"] \n  16 -> 23 [size =\"26071040\"]\n  16 -> 24 [size =\"26071040\"]\n  16 -> 27 [size =\"26071040\"]\n  16 -> 29 [size =\"26071040\"]\n  17 [size=\"26456747\", alpha=\"0.01\", expect_size=\"7937024\"] \n  17 -> 22 [size =\"7937024\"]\n  17 -> 23 [size =\"7937024\"]\n  17 -> 24 [size =\"7937024\"]\n  17 -> 28 [size =\"7937024\"]\n  18 [size=\"28043947\", alpha=\"0.19\", expect_size=\"8413184\"] \n  18 -> 27 [size =\"8413184\"]\n  18 -> 28 [size =\"8413184\"]\n  18 -> 29 [size =\"8413184\"]\n  18 -> 30 [size =\"8413184\"]\n  19 [size=\"109489493\", alpha=\"0.10\", expect_size=\"32846848\"] \n  19 -> 21 [size =\"32846848\"]\n  19 -> 26 [size =\"32846848\"]\n  19 -> 28 [size =\"32846848\"]\n  19 -> 29 [size =\"32846848\"]\n  20 [size=\"70280533\", alpha=\"0.18\", expect_size=\"21084160\"] \n  20 -> 29 [size =\"21084160\"]\n  21 [size=\"102021120\", alpha=\"0.16\", expect_size=\"30606336\"] \n  22 [size=\"120275627\", alpha=\"0.18\", expect_size=\"36082688\"] \n  23 [size=\"100546560\", alpha=\"0.10\", expect_size=\"30163968\"] \n  24 [size=\"126037333\", alpha=\"0.09\", expect_size=\"37811200\"] \n  25 [size=\"98010453\", alpha=\"0.07\", expect_size=\"29403136\"] \n  26 [size=\"112503467\", alpha=\"0.02\", expect_size=\"33751040\"] \n  27 [size=\"108127573\", alpha=\"0.15\", expect_size=\"32438272\"] \n  28 [size=\"115691520\", alpha=\"0.06\", expect_size=\"34707456\"] \n  29 [size=\"111714987\", alpha=\"0.10\", expect_size=\"33514496\"] \n  30 [size=\"36727467\", alpha=\"0.02\", expect_size=\"11018240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48908800\", alpha=\"0.11\", expect_size=\"19563520\"] \n  2 [size=\"39582720\", alpha=\"0.14\", expect_size=\"15833088\"] \n  2 -> 7 [size =\"15833088\"]\n  2 -> 10 [size =\"15833088\"]\n  3 [size=\"81569280\", alpha=\"0.16\", expect_size=\"32627712\"] \n  3 -> 9 [size =\"32627712\"]\n  3 -> 10 [size =\"32627712\"]\n  4 [size=\"51343360\", alpha=\"0.06\", expect_size=\"20537344\"] \n  4 -> 10 [size =\"20537344\"]\n  5 [size=\"120839680\", alpha=\"0.07\", expect_size=\"48335872\"] \n  5 -> 7 [size =\"48335872\"]\n  5 -> 9 [size =\"48335872\"]\n  6 [size=\"51691520\", alpha=\"0.03\", expect_size=\"20676608\"] \n  6 -> 8 [size =\"20676608\"]\n  6 -> 9 [size =\"20676608\"]\n  6 -> 10 [size =\"20676608\"]\n  6 -> 11 [size =\"20676608\"]\n  7 [size=\"25858560\", alpha=\"0.03\", expect_size=\"10343424\"] \n  7 -> 12 [size =\"10343424\"]\n  8 [size=\"40750080\", alpha=\"0.04\", expect_size=\"16300032\"] \n  8 -> 13 [size =\"16300032\"]\n  8 -> 15 [size =\"16300032\"]\n  9 [size=\"46602240\", alpha=\"0.18\", expect_size=\"18640896\"] \n  9 -> 12 [size =\"18640896\"]\n  9 -> 14 [size =\"18640896\"]\n  9 -> 15 [size =\"18640896\"]\n  10 [size=\"103257600\", alpha=\"0.12\", expect_size=\"41303040\"] \n  10 -> 12 [size =\"41303040\"]\n  10 -> 13 [size =\"41303040\"]\n  10 -> 14 [size =\"41303040\"]\n  10 -> 15 [size =\"41303040\"]\n  11 [size=\"89024000\", alpha=\"0.15\", expect_size=\"35609600\"] \n  11 -> 12 [size =\"35609600\"]\n  11 -> 13 [size =\"35609600\"]\n  11 -> 14 [size =\"35609600\"]\n  12 [size=\"38656000\", alpha=\"0.11\", expect_size=\"15462400\"] \n  12 -> 16 [size =\"15462400\"]\n  12 -> 17 [size =\"15462400\"]\n  12 -> 18 [size =\"15462400\"]\n  12 -> 19 [size =\"15462400\"]\n  13 [size=\"121991680\", alpha=\"0.18\", expect_size=\"48796672\"] \n  13 -> 18 [size =\"48796672\"]\n  14 [size=\"99642880\", alpha=\"0.04\", expect_size=\"39857152\"] \n  14 -> 16 [size =\"39857152\"]\n  14 -> 17 [size =\"39857152\"]\n  15 [size=\"18516480\", alpha=\"0.11\", expect_size=\"7406592\"] \n  15 -> 16 [size =\"7406592\"]\n  15 -> 18 [size =\"7406592\"]\n  15 -> 19 [size =\"7406592\"]\n  16 [size=\"58045440\", alpha=\"0.15\", expect_size=\"23218176\"] \n  16 -> 20 [size =\"23218176\"]\n  16 -> 22 [size =\"23218176\"]\n  16 -> 23 [size =\"23218176\"]\n  16 -> 24 [size =\"23218176\"]\n  17 [size=\"72929280\", alpha=\"0.03\", expect_size=\"29171712\"] \n  17 -> 20 [size =\"29171712\"]\n  17 -> 21 [size =\"29171712\"]\n  17 -> 23 [size =\"29171712\"]\n  18 [size=\"90667520\", alpha=\"0.19\", expect_size=\"36267008\"] \n  18 -> 21 [size =\"36267008\"]\n  19 [size=\"113802240\", alpha=\"0.14\", expect_size=\"45520896\"] \n  19 -> 21 [size =\"45520896\"]\n  19 -> 22 [size =\"45520896\"]\n  20 [size=\"100500480\", alpha=\"0.19\", expect_size=\"40200192\"] \n  20 -> 26 [size =\"40200192\"]\n  20 -> 28 [size =\"40200192\"]\n  20 -> 29 [size =\"40200192\"]\n  20 -> 30 [size =\"40200192\"]\n  21 [size=\"53864960\", alpha=\"0.09\", expect_size=\"21545984\"] \n  21 -> 25 [size =\"21545984\"]\n  21 -> 26 [size =\"21545984\"]\n  21 -> 27 [size =\"21545984\"]\n  21 -> 30 [size =\"21545984\"]\n  22 [size=\"24317440\", alpha=\"0.04\", expect_size=\"9726976\"] \n  22 -> 26 [size =\"9726976\"]\n  22 -> 28 [size =\"9726976\"]\n  22 -> 29 [size =\"9726976\"]\n  22 -> 30 [size =\"9726976\"]\n  23 [size=\"91220480\", alpha=\"0.11\", expect_size=\"36488192\"] \n  23 -> 27 [size =\"36488192\"]\n  23 -> 28 [size =\"36488192\"]\n  23 -> 29 [size =\"36488192\"]\n  23 -> 30 [size =\"36488192\"]\n  24 [size=\"77575680\", alpha=\"0.04\", expect_size=\"31030272\"] \n  24 -> 25 [size =\"31030272\"]\n  24 -> 27 [size =\"31030272\"]\n  24 -> 28 [size =\"31030272\"]\n  24 -> 29 [size =\"31030272\"]\n  25 [size=\"101434880\", alpha=\"0.15\", expect_size=\"40573952\"] \n  26 [size=\"50867200\", alpha=\"0.13\", expect_size=\"20346880\"] \n  27 [size=\"22568960\", alpha=\"0.13\", expect_size=\"9027584\"] \n  28 [size=\"37928960\", alpha=\"0.18\", expect_size=\"15171584\"] \n  29 [size=\"33592320\", alpha=\"0.08\", expect_size=\"13436928\"] \n  30 [size=\"116536320\", alpha=\"0.14\", expect_size=\"46614528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79892480\", alpha=\"0.18\", expect_size=\"39946240\"] \n  2 [size=\"89485312\", alpha=\"0.08\", expect_size=\"44742656\"] \n  2 -> 7 [size =\"44742656\"]\n  2 -> 8 [size =\"44742656\"]\n  2 -> 9 [size =\"44742656\"]\n  3 [size=\"97433600\", alpha=\"0.05\", expect_size=\"48716800\"] \n  3 -> 6 [size =\"48716800\"]\n  3 -> 8 [size =\"48716800\"]\n  3 -> 9 [size =\"48716800\"]\n  4 [size=\"27631616\", alpha=\"0.16\", expect_size=\"13815808\"] \n  4 -> 6 [size =\"13815808\"]\n  4 -> 9 [size =\"13815808\"]\n  5 [size=\"28731392\", alpha=\"0.19\", expect_size=\"14365696\"] \n  6 [size=\"66627584\", alpha=\"0.11\", expect_size=\"33313792\"] \n  6 -> 11 [size =\"33313792\"]\n  6 -> 12 [size =\"33313792\"]\n  6 -> 13 [size =\"33313792\"]\n  6 -> 14 [size =\"33313792\"]\n  7 [size=\"88733696\", alpha=\"0.12\", expect_size=\"44366848\"] \n  7 -> 10 [size =\"44366848\"]\n  8 [size=\"12212224\", alpha=\"0.10\", expect_size=\"6106112\"] \n  8 -> 10 [size =\"6106112\"]\n  8 -> 12 [size =\"6106112\"]\n  8 -> 14 [size =\"6106112\"]\n  9 [size=\"71038976\", alpha=\"0.02\", expect_size=\"35519488\"] \n  9 -> 12 [size =\"35519488\"]\n  9 -> 13 [size =\"35519488\"]\n  10 [size=\"35414016\", alpha=\"0.08\", expect_size=\"17707008\"] \n  10 -> 15 [size =\"17707008\"]\n  10 -> 16 [size =\"17707008\"]\n  10 -> 19 [size =\"17707008\"]\n  11 [size=\"84967424\", alpha=\"0.02\", expect_size=\"42483712\"] \n  11 -> 15 [size =\"42483712\"]\n  11 -> 16 [size =\"42483712\"]\n  11 -> 18 [size =\"42483712\"]\n  12 [size=\"74889216\", alpha=\"0.03\", expect_size=\"37444608\"] \n  12 -> 18 [size =\"37444608\"]\n  13 [size=\"16596992\", alpha=\"0.09\", expect_size=\"8298496\"] \n  13 -> 15 [size =\"8298496\"]\n  13 -> 16 [size =\"8298496\"]\n  13 -> 17 [size =\"8298496\"]\n  13 -> 18 [size =\"8298496\"]\n  14 [size=\"39495680\", alpha=\"0.05\", expect_size=\"19747840\"] \n  14 -> 15 [size =\"19747840\"]\n  14 -> 17 [size =\"19747840\"]\n  14 -> 17 [size =\"19747840\"]\n  14 -> 18 [size =\"19747840\"]\n  14 -> 19 [size =\"19747840\"]\n  15 [size=\"20520960\", alpha=\"0.15\", expect_size=\"10260480\"] \n  15 -> 20 [size =\"10260480\"]\n  16 [size=\"14362624\", alpha=\"0.02\", expect_size=\"7181312\"] \n  16 -> 20 [size =\"7181312\"]\n  16 -> 22 [size =\"7181312\"]\n  17 [size=\"67823616\", alpha=\"0.04\", expect_size=\"33911808\"] \n  17 -> 21 [size =\"33911808\"]\n  17 -> 22 [size =\"33911808\"]\n  18 [size=\"32391168\", alpha=\"0.10\", expect_size=\"16195584\"] \n  18 -> 20 [size =\"16195584\"]\n  18 -> 22 [size =\"16195584\"]\n  19 [size=\"81016832\", alpha=\"0.17\", expect_size=\"40508416\"] \n  19 -> 20 [size =\"40508416\"]\n  19 -> 21 [size =\"40508416\"]\n  19 -> 23 [size =\"40508416\"]\n  20 [size=\"90533888\", alpha=\"0.06\", expect_size=\"45266944\"] \n  20 -> 25 [size =\"45266944\"]\n  20 -> 26 [size =\"45266944\"]\n  21 [size=\"35983360\", alpha=\"0.09\", expect_size=\"17991680\"] \n  21 -> 24 [size =\"17991680\"]\n  21 -> 25 [size =\"17991680\"]\n  22 [size=\"46008320\", alpha=\"0.09\", expect_size=\"23004160\"] \n  22 -> 24 [size =\"23004160\"]\n  22 -> 27 [size =\"23004160\"]\n  23 [size=\"58923008\", alpha=\"0.08\", expect_size=\"29461504\"] \n  23 -> 26 [size =\"29461504\"]\n  23 -> 27 [size =\"29461504\"]\n  24 [size=\"99614720\", alpha=\"0.10\", expect_size=\"49807360\"] \n  24 -> 28 [size =\"49807360\"]\n  25 [size=\"30992384\", alpha=\"0.16\", expect_size=\"15496192\"] \n  25 -> 30 [size =\"15496192\"]\n  26 [size=\"102125568\", alpha=\"0.14\", expect_size=\"51062784\"] \n  26 -> 28 [size =\"51062784\"]\n  26 -> 29 [size =\"51062784\"]\n  27 [size=\"19419136\", alpha=\"0.08\", expect_size=\"9709568\"] \n  27 -> 29 [size =\"9709568\"]\n  27 -> 30 [size =\"9709568\"]\n  28 [size=\"37853184\", alpha=\"0.03\", expect_size=\"18926592\"] \n  29 [size=\"87058432\", alpha=\"0.11\", expect_size=\"43529216\"] \n  30 [size=\"74338304\", alpha=\"0.04\", expect_size=\"37169152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95173120\", alpha=\"0.19\", expect_size=\"38069248\"] \n  1 -> 24 [size =\"38069248\"]\n  1 -> 25 [size =\"38069248\"]\n  1 -> 27 [size =\"38069248\"]\n  2 [size=\"103756800\", alpha=\"0.17\", expect_size=\"41502720\"] \n  2 -> 18 [size =\"41502720\"]\n  2 -> 19 [size =\"41502720\"]\n  2 -> 29 [size =\"41502720\"]\n  3 [size=\"107719680\", alpha=\"0.17\", expect_size=\"43087872\"] \n  3 -> 19 [size =\"43087872\"]\n  3 -> 21 [size =\"43087872\"]\n  3 -> 24 [size =\"43087872\"]\n  3 -> 27 [size =\"43087872\"]\n  3 -> 30 [size =\"43087872\"]\n  4 [size=\"114864640\", alpha=\"0.11\", expect_size=\"45945856\"] \n  4 -> 18 [size =\"45945856\"]\n  4 -> 19 [size =\"45945856\"]\n  4 -> 24 [size =\"45945856\"]\n  4 -> 29 [size =\"45945856\"]\n  5 [size=\"47009280\", alpha=\"0.01\", expect_size=\"18803712\"] \n  5 -> 18 [size =\"18803712\"]\n  5 -> 24 [size =\"18803712\"]\n  6 [size=\"58178560\", alpha=\"0.11\", expect_size=\"23271424\"] \n  6 -> 18 [size =\"23271424\"]\n  6 -> 25 [size =\"23271424\"]\n  6 -> 29 [size =\"23271424\"]\n  6 -> 30 [size =\"23271424\"]\n  7 [size=\"88609280\", alpha=\"0.10\", expect_size=\"35443712\"] \n  7 -> 18 [size =\"35443712\"]\n  7 -> 20 [size =\"35443712\"]\n  7 -> 28 [size =\"35443712\"]\n  7 -> 30 [size =\"35443712\"]\n  8 [size=\"28387840\", alpha=\"0.16\", expect_size=\"11355136\"] \n  8 -> 18 [size =\"11355136\"]\n  8 -> 19 [size =\"11355136\"]\n  8 -> 30 [size =\"11355136\"]\n  9 [size=\"73553920\", alpha=\"0.15\", expect_size=\"29421568\"] \n  9 -> 24 [size =\"29421568\"]\n  9 -> 26 [size =\"29421568\"]\n  9 -> 30 [size =\"29421568\"]\n  10 [size=\"69662720\", alpha=\"0.02\", expect_size=\"27865088\"] \n  10 -> 18 [size =\"27865088\"]\n  10 -> 19 [size =\"27865088\"]\n  11 [size=\"110881280\", alpha=\"0.17\", expect_size=\"44352512\"] \n  11 -> 20 [size =\"44352512\"]\n  11 -> 27 [size =\"44352512\"]\n  12 [size=\"106250240\", alpha=\"0.02\", expect_size=\"42500096\"] \n  12 -> 24 [size =\"42500096\"]\n  13 [size=\"86627840\", alpha=\"0.14\", expect_size=\"34651136\"] \n  13 -> 22 [size =\"34651136\"]\n  13 -> 23 [size =\"34651136\"]\n  13 -> 26 [size =\"34651136\"]\n  13 -> 29 [size =\"34651136\"]\n  13 -> 30 [size =\"34651136\"]\n  14 [size=\"70812160\", alpha=\"0.07\", expect_size=\"28324864\"] \n  14 -> 19 [size =\"28324864\"]\n  14 -> 24 [size =\"28324864\"]\n  14 -> 26 [size =\"28324864\"]\n  14 -> 29 [size =\"28324864\"]\n  15 [size=\"16176640\", alpha=\"0.01\", expect_size=\"6470656\"] \n  15 -> 20 [size =\"6470656\"]\n  15 -> 23 [size =\"6470656\"]\n  15 -> 25 [size =\"6470656\"]\n  16 [size=\"23178240\", alpha=\"0.15\", expect_size=\"9271296\"] \n  16 -> 18 [size =\"9271296\"]\n  16 -> 20 [size =\"9271296\"]\n  17 [size=\"86220800\", alpha=\"0.16\", expect_size=\"34488320\"] \n  18 [size=\"29767680\", alpha=\"0.07\", expect_size=\"11907072\"] \n  19 [size=\"125652480\", alpha=\"0.18\", expect_size=\"50260992\"] \n  20 [size=\"94190080\", alpha=\"0.03\", expect_size=\"37676032\"] \n  21 [size=\"103521280\", alpha=\"0.03\", expect_size=\"41408512\"] \n  22 [size=\"85649920\", alpha=\"0.18\", expect_size=\"34259968\"] \n  23 [size=\"97853440\", alpha=\"0.08\", expect_size=\"39141376\"] \n  24 [size=\"59532800\", alpha=\"0.16\", expect_size=\"23813120\"] \n  25 [size=\"103280640\", alpha=\"0.10\", expect_size=\"41312256\"] \n  26 [size=\"108625920\", alpha=\"0.12\", expect_size=\"43450368\"] \n  27 [size=\"78599680\", alpha=\"0.06\", expect_size=\"31439872\"] \n  28 [size=\"55715840\", alpha=\"0.03\", expect_size=\"22286336\"] \n  29 [size=\"97244160\", alpha=\"0.10\", expect_size=\"38897664\"] \n  30 [size=\"84431360\", alpha=\"0.07\", expect_size=\"33772544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89472000\", alpha=\"0.17\", expect_size=\"35788800\"] \n  1 -> 2 [size =\"35788800\"]\n  2 [size=\"128665600\", alpha=\"0.18\", expect_size=\"51466240\"] \n  2 -> 3 [size =\"51466240\"]\n  2 -> 4 [size =\"51466240\"]\n  3 [size=\"119280640\", alpha=\"0.01\", expect_size=\"47712256\"] \n  3 -> 5 [size =\"47712256\"]\n  3 -> 6 [size =\"47712256\"]\n  4 [size=\"68695040\", alpha=\"0.05\", expect_size=\"27478016\"] \n  4 -> 5 [size =\"27478016\"]\n  4 -> 6 [size =\"27478016\"]\n  5 [size=\"44405760\", alpha=\"0.11\", expect_size=\"17762304\"] \n  6 [size=\"127196160\", alpha=\"0.19\", expect_size=\"50878464\"] \n  6 -> 7 [size =\"50878464\"]\n  7 [size=\"56775680\", alpha=\"0.07\", expect_size=\"22710272\"] \n  7 -> 8 [size =\"22710272\"]\n  7 -> 9 [size =\"22710272\"]\n  8 [size=\"18365440\", alpha=\"0.09\", expect_size=\"7346176\"] \n  8 -> 10 [size =\"7346176\"]\n  8 -> 11 [size =\"7346176\"]\n  9 [size=\"48576000\", alpha=\"0.17\", expect_size=\"19430400\"] \n  9 -> 10 [size =\"19430400\"]\n  9 -> 11 [size =\"19430400\"]\n  10 [size=\"35965440\", alpha=\"0.04\", expect_size=\"14386176\"] \n  10 -> 12 [size =\"14386176\"]\n  11 [size=\"126044160\", alpha=\"0.12\", expect_size=\"50417664\"] \n  11 -> 12 [size =\"50417664\"]\n  12 [size=\"107901440\", alpha=\"0.17\", expect_size=\"43160576\"] \n  12 -> 13 [size =\"43160576\"]\n  13 [size=\"96230400\", alpha=\"0.15\", expect_size=\"38492160\"] \n  13 -> 14 [size =\"38492160\"]\n  14 [size=\"104460800\", alpha=\"0.13\", expect_size=\"41784320\"] \n  14 -> 15 [size =\"41784320\"]\n  15 [size=\"14525440\", alpha=\"0.10\", expect_size=\"5810176\"] \n  15 -> 16 [size =\"5810176\"]\n  15 -> 17 [size =\"5810176\"]\n  16 [size=\"80248320\", alpha=\"0.06\", expect_size=\"32099328\"] \n  16 -> 18 [size =\"32099328\"]\n  16 -> 19 [size =\"32099328\"]\n  17 [size=\"76674560\", alpha=\"0.07\", expect_size=\"30669824\"] \n  17 -> 18 [size =\"30669824\"]\n  17 -> 19 [size =\"30669824\"]\n  18 [size=\"116933120\", alpha=\"0.07\", expect_size=\"46773248\"] \n  18 -> 20 [size =\"46773248\"]\n  19 [size=\"53913600\", alpha=\"0.19\", expect_size=\"21565440\"] \n  19 -> 20 [size =\"21565440\"]\n  20 [size=\"38512640\", alpha=\"0.03\", expect_size=\"15405056\"] \n  20 -> 21 [size =\"15405056\"]\n  21 [size=\"62702080\", alpha=\"0.19\", expect_size=\"25080832\"] \n  21 -> 22 [size =\"25080832\"]\n  21 -> 23 [size =\"25080832\"]\n  22 [size=\"16161280\", alpha=\"0.15\", expect_size=\"6464512\"] \n  22 -> 24 [size =\"6464512\"]\n  23 [size=\"115875840\", alpha=\"0.09\", expect_size=\"46350336\"] \n  23 -> 24 [size =\"46350336\"]\n  24 [size=\"83573760\", alpha=\"0.12\", expect_size=\"33429504\"] \n  24 -> 25 [size =\"33429504\"]\n  24 -> 26 [size =\"33429504\"]\n  25 [size=\"43783680\", alpha=\"0.00\", expect_size=\"17513472\"] \n  25 -> 27 [size =\"17513472\"]\n  25 -> 28 [size =\"17513472\"]\n  26 [size=\"102850560\", alpha=\"0.08\", expect_size=\"41140224\"] \n  26 -> 28 [size =\"41140224\"]\n  27 [size=\"20989440\", alpha=\"0.04\", expect_size=\"8395776\"] \n  27 -> 29 [size =\"8395776\"]\n  28 [size=\"61242880\", alpha=\"0.20\", expect_size=\"24497152\"] \n  28 -> 29 [size =\"24497152\"]\n  29 [size=\"103869440\", alpha=\"0.02\", expect_size=\"41547776\"] \n  29 -> 30 [size =\"41547776\"]\n  30 [size=\"99105280\", alpha=\"0.08\", expect_size=\"39642112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52514816\", alpha=\"0.16\", expect_size=\"26257408\"] \n  1 -> 3 [size =\"26257408\"]\n  1 -> 4 [size =\"26257408\"]\n  2 [size=\"42311680\", alpha=\"0.08\", expect_size=\"21155840\"] \n  2 -> 3 [size =\"21155840\"]\n  2 -> 4 [size =\"21155840\"]\n  3 [size=\"47753216\", alpha=\"0.15\", expect_size=\"23876608\"] \n  3 -> 5 [size =\"23876608\"]\n  3 -> 6 [size =\"23876608\"]\n  4 [size=\"57978880\", alpha=\"0.12\", expect_size=\"28989440\"] \n  5 [size=\"11880448\", alpha=\"0.11\", expect_size=\"5940224\"] \n  5 -> 8 [size =\"5940224\"]\n  6 [size=\"92680192\", alpha=\"0.14\", expect_size=\"46340096\"] \n  6 -> 7 [size =\"46340096\"]\n  7 [size=\"73973760\", alpha=\"0.00\", expect_size=\"36986880\"] \n  7 -> 9 [size =\"36986880\"]\n  7 -> 10 [size =\"36986880\"]\n  8 [size=\"96716800\", alpha=\"0.06\", expect_size=\"48358400\"] \n  8 -> 10 [size =\"48358400\"]\n  9 [size=\"56870912\", alpha=\"0.04\", expect_size=\"28435456\"] \n  9 -> 11 [size =\"28435456\"]\n  10 [size=\"90279936\", alpha=\"0.16\", expect_size=\"45139968\"] \n  11 [size=\"33075200\", alpha=\"0.02\", expect_size=\"16537600\"] \n  11 -> 12 [size =\"16537600\"]\n  11 -> 13 [size =\"16537600\"]\n  12 [size=\"12668928\", alpha=\"0.12\", expect_size=\"6334464\"] \n  12 -> 14 [size =\"6334464\"]\n  13 [size=\"51855360\", alpha=\"0.13\", expect_size=\"25927680\"] \n  13 -> 14 [size =\"25927680\"]\n  14 [size=\"28080128\", alpha=\"0.10\", expect_size=\"14040064\"] \n  14 -> 15 [size =\"14040064\"]\n  15 [size=\"84805632\", alpha=\"0.18\", expect_size=\"42402816\"] \n  15 -> 16 [size =\"42402816\"]\n  16 [size=\"44240896\", alpha=\"0.02\", expect_size=\"22120448\"] \n  16 -> 17 [size =\"22120448\"]\n  16 -> 18 [size =\"22120448\"]\n  17 [size=\"14673920\", alpha=\"0.12\", expect_size=\"7336960\"] \n  17 -> 19 [size =\"7336960\"]\n  18 [size=\"16224256\", alpha=\"0.13\", expect_size=\"8112128\"] \n  18 -> 19 [size =\"8112128\"]\n  19 [size=\"42735616\", alpha=\"0.01\", expect_size=\"21367808\"] \n  19 -> 20 [size =\"21367808\"]\n  19 -> 21 [size =\"21367808\"]\n  20 [size=\"59994112\", alpha=\"0.06\", expect_size=\"29997056\"] \n  21 [size=\"41408512\", alpha=\"0.01\", expect_size=\"20704256\"] \n  21 -> 22 [size =\"20704256\"]\n  22 [size=\"52750336\", alpha=\"0.02\", expect_size=\"26375168\"] \n  22 -> 23 [size =\"26375168\"]\n  22 -> 24 [size =\"26375168\"]\n  23 [size=\"12969984\", alpha=\"0.11\", expect_size=\"6484992\"] \n  23 -> 25 [size =\"6484992\"]\n  24 [size=\"75331584\", alpha=\"0.10\", expect_size=\"37665792\"] \n  25 [size=\"29075456\", alpha=\"0.09\", expect_size=\"14537728\"] \n  25 -> 26 [size =\"14537728\"]\n  25 -> 27 [size =\"14537728\"]\n  26 [size=\"19668992\", alpha=\"0.06\", expect_size=\"9834496\"] \n  26 -> 28 [size =\"9834496\"]\n  27 [size=\"30908416\", alpha=\"0.16\", expect_size=\"15454208\"] \n  27 -> 29 [size =\"15454208\"]\n  28 [size=\"88322048\", alpha=\"0.05\", expect_size=\"44161024\"] \n  28 -> 30 [size =\"44161024\"]\n  29 [size=\"56084480\", alpha=\"0.03\", expect_size=\"28042240\"] \n  30 [size=\"60155904\", alpha=\"0.19\", expect_size=\"30077952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37132800\", alpha=\"0.02\", expect_size=\"14853120\"] \n  1 -> 17 [size =\"14853120\"]\n  1 -> 18 [size =\"14853120\"]\n  1 -> 20 [size =\"14853120\"]\n  1 -> 23 [size =\"14853120\"]\n  1 -> 24 [size =\"14853120\"]\n  1 -> 25 [size =\"14853120\"]\n  1 -> 27 [size =\"14853120\"]\n  1 -> 28 [size =\"14853120\"]\n  1 -> 29 [size =\"14853120\"]\n  2 [size=\"56320000\", alpha=\"0.16\", expect_size=\"22528000\"] \n  2 -> 17 [size =\"22528000\"]\n  2 -> 19 [size =\"22528000\"]\n  2 -> 23 [size =\"22528000\"]\n  2 -> 27 [size =\"22528000\"]\n  2 -> 29 [size =\"22528000\"]\n  2 -> 30 [size =\"22528000\"]\n  3 [size=\"110082560\", alpha=\"0.08\", expect_size=\"44033024\"] \n  3 -> 18 [size =\"44033024\"]\n  3 -> 20 [size =\"44033024\"]\n  3 -> 22 [size =\"44033024\"]\n  3 -> 23 [size =\"44033024\"]\n  3 -> 24 [size =\"44033024\"]\n  3 -> 25 [size =\"44033024\"]\n  3 -> 27 [size =\"44033024\"]\n  3 -> 30 [size =\"44033024\"]\n  4 [size=\"32363520\", alpha=\"0.06\", expect_size=\"12945408\"] \n  4 -> 17 [size =\"12945408\"]\n  4 -> 19 [size =\"12945408\"]\n  4 -> 23 [size =\"12945408\"]\n  4 -> 24 [size =\"12945408\"]\n  4 -> 30 [size =\"12945408\"]\n  5 [size=\"99791360\", alpha=\"0.19\", expect_size=\"39916544\"] \n  5 -> 17 [size =\"39916544\"]\n  5 -> 18 [size =\"39916544\"]\n  5 -> 19 [size =\"39916544\"]\n  5 -> 20 [size =\"39916544\"]\n  5 -> 23 [size =\"39916544\"]\n  5 -> 24 [size =\"39916544\"]\n  5 -> 25 [size =\"39916544\"]\n  5 -> 28 [size =\"39916544\"]\n  5 -> 30 [size =\"39916544\"]\n  6 [size=\"94586880\", alpha=\"0.07\", expect_size=\"37834752\"] \n  6 -> 17 [size =\"37834752\"]\n  6 -> 18 [size =\"37834752\"]\n  6 -> 19 [size =\"37834752\"]\n  6 -> 24 [size =\"37834752\"]\n  7 [size=\"70507520\", alpha=\"0.00\", expect_size=\"28203008\"] \n  7 -> 17 [size =\"28203008\"]\n  7 -> 19 [size =\"28203008\"]\n  7 -> 23 [size =\"28203008\"]\n  7 -> 24 [size =\"28203008\"]\n  7 -> 26 [size =\"28203008\"]\n  7 -> 30 [size =\"28203008\"]\n  8 [size=\"127152640\", alpha=\"0.04\", expect_size=\"50861056\"] \n  8 -> 18 [size =\"50861056\"]\n  8 -> 20 [size =\"50861056\"]\n  8 -> 24 [size =\"50861056\"]\n  8 -> 25 [size =\"50861056\"]\n  8 -> 26 [size =\"50861056\"]\n  8 -> 30 [size =\"50861056\"]\n  9 [size=\"76702720\", alpha=\"0.13\", expect_size=\"30681088\"] \n  9 -> 17 [size =\"30681088\"]\n  9 -> 26 [size =\"30681088\"]\n  10 [size=\"15687680\", alpha=\"0.16\", expect_size=\"6275072\"] \n  10 -> 19 [size =\"6275072\"]\n  10 -> 20 [size =\"6275072\"]\n  10 -> 26 [size =\"6275072\"]\n  10 -> 30 [size =\"6275072\"]\n  11 [size=\"122944000\", alpha=\"0.13\", expect_size=\"49177600\"] \n  11 -> 18 [size =\"49177600\"]\n  11 -> 19 [size =\"49177600\"]\n  11 -> 20 [size =\"49177600\"]\n  11 -> 23 [size =\"49177600\"]\n  11 -> 25 [size =\"49177600\"]\n  12 [size=\"19622400\", alpha=\"0.14\", expect_size=\"7848960\"] \n  12 -> 19 [size =\"7848960\"]\n  12 -> 20 [size =\"7848960\"]\n  12 -> 20 [size =\"7848960\"]\n  12 -> 21 [size =\"7848960\"]\n  12 -> 23 [size =\"7848960\"]\n  12 -> 24 [size =\"7848960\"]\n  12 -> 25 [size =\"7848960\"]\n  12 -> 30 [size =\"7848960\"]\n  13 [size=\"114071040\", alpha=\"0.14\", expect_size=\"45628416\"] \n  13 -> 18 [size =\"45628416\"]\n  13 -> 23 [size =\"45628416\"]\n  13 -> 27 [size =\"45628416\"]\n  14 [size=\"43696640\", alpha=\"0.08\", expect_size=\"17478656\"] \n  14 -> 17 [size =\"17478656\"]\n  14 -> 19 [size =\"17478656\"]\n  14 -> 20 [size =\"17478656\"]\n  14 -> 24 [size =\"17478656\"]\n  14 -> 27 [size =\"17478656\"]\n  15 [size=\"77186560\", alpha=\"0.17\", expect_size=\"30874624\"] \n  15 -> 17 [size =\"30874624\"]\n  15 -> 24 [size =\"30874624\"]\n  15 -> 27 [size =\"30874624\"]\n  15 -> 30 [size =\"30874624\"]\n  16 [size=\"71669760\", alpha=\"0.00\", expect_size=\"28667904\"] \n  16 -> 17 [size =\"28667904\"]\n  16 -> 18 [size =\"28667904\"]\n  16 -> 20 [size =\"28667904\"]\n  16 -> 21 [size =\"28667904\"]\n  16 -> 22 [size =\"28667904\"]\n  16 -> 23 [size =\"28667904\"]\n  16 -> 24 [size =\"28667904\"]\n  16 -> 28 [size =\"28667904\"]\n  17 [size=\"110210560\", alpha=\"0.01\", expect_size=\"44084224\"] \n  18 [size=\"112017920\", alpha=\"0.05\", expect_size=\"44807168\"] \n  19 [size=\"15907840\", alpha=\"0.15\", expect_size=\"6363136\"] \n  20 [size=\"94609920\", alpha=\"0.11\", expect_size=\"37843968\"] \n  21 [size=\"70924800\", alpha=\"0.12\", expect_size=\"28369920\"] \n  22 [size=\"31109120\", alpha=\"0.20\", expect_size=\"12443648\"] \n  23 [size=\"115409920\", alpha=\"0.04\", expect_size=\"46163968\"] \n  24 [size=\"80069120\", alpha=\"0.12\", expect_size=\"32027648\"] \n  25 [size=\"126282240\", alpha=\"0.14\", expect_size=\"50512896\"] \n  26 [size=\"108779520\", alpha=\"0.10\", expect_size=\"43511808\"] \n  27 [size=\"109135360\", alpha=\"0.16\", expect_size=\"43654144\"] \n  28 [size=\"117094400\", alpha=\"0.01\", expect_size=\"46837760\"] \n  29 [size=\"27591680\", alpha=\"0.17\", expect_size=\"11036672\"] \n  30 [size=\"114224640\", alpha=\"0.14\", expect_size=\"45689856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19550720\", alpha=\"0.08\", expect_size=\"7820288\"] \n  1 -> 2 [size =\"7820288\"]\n  2 [size=\"55948800\", alpha=\"0.18\", expect_size=\"22379520\"] \n  2 -> 3 [size =\"22379520\"]\n  3 [size=\"92234240\", alpha=\"0.15\", expect_size=\"36893696\"] \n  3 -> 4 [size =\"36893696\"]\n  4 [size=\"25313280\", alpha=\"0.14\", expect_size=\"10125312\"] \n  4 -> 5 [size =\"10125312\"]\n  5 [size=\"23749120\", alpha=\"0.11\", expect_size=\"9499648\"] \n  5 -> 6 [size =\"9499648\"]\n  6 [size=\"108423680\", alpha=\"0.18\", expect_size=\"43369472\"] \n  6 -> 7 [size =\"43369472\"]\n  7 [size=\"75281920\", alpha=\"0.11\", expect_size=\"30112768\"] \n  7 -> 8 [size =\"30112768\"]\n  8 [size=\"90752000\", alpha=\"0.19\", expect_size=\"36300800\"] \n  8 -> 9 [size =\"36300800\"]\n  9 [size=\"115389440\", alpha=\"0.02\", expect_size=\"46155776\"] \n  9 -> 10 [size =\"46155776\"]\n  10 [size=\"51499520\", alpha=\"0.19\", expect_size=\"20599808\"] \n  10 -> 11 [size =\"20599808\"]\n  11 [size=\"128079360\", alpha=\"0.13\", expect_size=\"51231744\"] \n  11 -> 12 [size =\"51231744\"]\n  12 [size=\"55447040\", alpha=\"0.07\", expect_size=\"22178816\"] \n  12 -> 13 [size =\"22178816\"]\n  13 [size=\"40824320\", alpha=\"0.06\", expect_size=\"16329728\"] \n  13 -> 14 [size =\"16329728\"]\n  14 [size=\"13230080\", alpha=\"0.08\", expect_size=\"5292032\"] \n  14 -> 15 [size =\"5292032\"]\n  15 [size=\"94330880\", alpha=\"0.11\", expect_size=\"37732352\"] \n  15 -> 16 [size =\"37732352\"]\n  16 [size=\"44037120\", alpha=\"0.10\", expect_size=\"17614848\"] \n  16 -> 17 [size =\"17614848\"]\n  17 [size=\"30863360\", alpha=\"0.01\", expect_size=\"12345344\"] \n  17 -> 18 [size =\"12345344\"]\n  18 [size=\"94133760\", alpha=\"0.05\", expect_size=\"37653504\"] \n  18 -> 19 [size =\"37653504\"]\n  19 [size=\"88739840\", alpha=\"0.11\", expect_size=\"35495936\"] \n  19 -> 20 [size =\"35495936\"]\n  20 [size=\"99847680\", alpha=\"0.05\", expect_size=\"39939072\"] \n  20 -> 21 [size =\"39939072\"]\n  21 [size=\"92930560\", alpha=\"0.00\", expect_size=\"37172224\"] \n  21 -> 22 [size =\"37172224\"]\n  22 [size=\"49984000\", alpha=\"0.03\", expect_size=\"19993600\"] \n  22 -> 23 [size =\"19993600\"]\n  23 [size=\"89190400\", alpha=\"0.19\", expect_size=\"35676160\"] \n  23 -> 24 [size =\"35676160\"]\n  24 [size=\"124700160\", alpha=\"0.16\", expect_size=\"49880064\"] \n  24 -> 25 [size =\"49880064\"]\n  25 [size=\"56581120\", alpha=\"0.16\", expect_size=\"22632448\"] \n  25 -> 26 [size =\"22632448\"]\n  26 [size=\"119744000\", alpha=\"0.12\", expect_size=\"47897600\"] \n  26 -> 27 [size =\"47897600\"]\n  27 [size=\"63646720\", alpha=\"0.18\", expect_size=\"25458688\"] \n  27 -> 28 [size =\"25458688\"]\n  28 [size=\"69312000\", alpha=\"0.18\", expect_size=\"27724800\"] \n  28 -> 29 [size =\"27724800\"]\n  29 [size=\"97728000\", alpha=\"0.15\", expect_size=\"39091200\"] \n  29 -> 30 [size =\"39091200\"]\n  30 [size=\"46151680\", alpha=\"0.18\", expect_size=\"18460672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18452480\", alpha=\"0.06\", expect_size=\"7380992\"] \n  1 -> 2 [size =\"7380992\"]\n  2 [size=\"80158720\", alpha=\"0.01\", expect_size=\"32063488\"] \n  2 -> 3 [size =\"32063488\"]\n  3 [size=\"44221440\", alpha=\"0.12\", expect_size=\"17688576\"] \n  3 -> 4 [size =\"17688576\"]\n  4 [size=\"122058240\", alpha=\"0.02\", expect_size=\"48823296\"] \n  4 -> 5 [size =\"48823296\"]\n  5 [size=\"20641280\", alpha=\"0.14\", expect_size=\"8256512\"] \n  5 -> 6 [size =\"8256512\"]\n  6 [size=\"102169600\", alpha=\"0.15\", expect_size=\"40867840\"] \n  6 -> 7 [size =\"40867840\"]\n  7 [size=\"17728000\", alpha=\"0.11\", expect_size=\"7091200\"] \n  7 -> 8 [size =\"7091200\"]\n  8 [size=\"68459520\", alpha=\"0.06\", expect_size=\"27383808\"] \n  8 -> 9 [size =\"27383808\"]\n  9 [size=\"33600000\", alpha=\"0.17\", expect_size=\"13440000\"] \n  9 -> 10 [size =\"13440000\"]\n  10 [size=\"70261760\", alpha=\"0.02\", expect_size=\"28104704\"] \n  10 -> 11 [size =\"28104704\"]\n  11 [size=\"119861760\", alpha=\"0.03\", expect_size=\"47944704\"] \n  11 -> 12 [size =\"47944704\"]\n  12 [size=\"38599680\", alpha=\"0.19\", expect_size=\"15439872\"] \n  12 -> 13 [size =\"15439872\"]\n  13 [size=\"43683840\", alpha=\"0.10\", expect_size=\"17473536\"] \n  13 -> 14 [size =\"17473536\"]\n  14 [size=\"116628480\", alpha=\"0.11\", expect_size=\"46651392\"] \n  14 -> 15 [size =\"46651392\"]\n  15 [size=\"126545920\", alpha=\"0.04\", expect_size=\"50618368\"] \n  15 -> 16 [size =\"50618368\"]\n  16 [size=\"89431040\", alpha=\"0.11\", expect_size=\"35772416\"] \n  16 -> 17 [size =\"35772416\"]\n  17 [size=\"58352640\", alpha=\"0.05\", expect_size=\"23341056\"] \n  17 -> 18 [size =\"23341056\"]\n  18 [size=\"122595840\", alpha=\"0.17\", expect_size=\"49038336\"] \n  18 -> 19 [size =\"49038336\"]\n  19 [size=\"38773760\", alpha=\"0.00\", expect_size=\"15509504\"] \n  19 -> 20 [size =\"15509504\"]\n  20 [size=\"22965760\", alpha=\"0.17\", expect_size=\"9186304\"] \n  20 -> 21 [size =\"9186304\"]\n  21 [size=\"35609600\", alpha=\"0.15\", expect_size=\"14243840\"] \n  21 -> 22 [size =\"14243840\"]\n  22 [size=\"51486720\", alpha=\"0.05\", expect_size=\"20594688\"] \n  22 -> 23 [size =\"20594688\"]\n  23 [size=\"45644800\", alpha=\"0.19\", expect_size=\"18257920\"] \n  23 -> 24 [size =\"18257920\"]\n  24 [size=\"103470080\", alpha=\"0.12\", expect_size=\"41388032\"] \n  24 -> 25 [size =\"41388032\"]\n  25 [size=\"48066560\", alpha=\"0.06\", expect_size=\"19226624\"] \n  25 -> 26 [size =\"19226624\"]\n  26 [size=\"68997120\", alpha=\"0.16\", expect_size=\"27598848\"] \n  26 -> 27 [size =\"27598848\"]\n  27 [size=\"16092160\", alpha=\"0.06\", expect_size=\"6436864\"] \n  27 -> 28 [size =\"6436864\"]\n  28 [size=\"45294080\", alpha=\"0.06\", expect_size=\"18117632\"] \n  28 -> 29 [size =\"18117632\"]\n  29 [size=\"27223040\", alpha=\"0.09\", expect_size=\"10889216\"] \n  29 -> 30 [size =\"10889216\"]\n  30 [size=\"28797440\", alpha=\"0.02\", expect_size=\"11518976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80760320\", alpha=\"0.03\", expect_size=\"32304128\"] \n  1 -> 2 [size =\"32304128\"]\n  2 [size=\"65548800\", alpha=\"0.00\", expect_size=\"26219520\"] \n  2 -> 3 [size =\"26219520\"]\n  3 [size=\"39864320\", alpha=\"0.18\", expect_size=\"15945728\"] \n  3 -> 4 [size =\"15945728\"]\n  4 [size=\"77158400\", alpha=\"0.18\", expect_size=\"30863360\"] \n  4 -> 5 [size =\"30863360\"]\n  4 -> 6 [size =\"30863360\"]\n  5 [size=\"102471680\", alpha=\"0.07\", expect_size=\"40988672\"] \n  5 -> 8 [size =\"40988672\"]\n  6 [size=\"54950400\", alpha=\"0.16\", expect_size=\"21980160\"] \n  6 -> 7 [size =\"21980160\"]\n  6 -> 8 [size =\"21980160\"]\n  7 [size=\"15045120\", alpha=\"0.09\", expect_size=\"6018048\"] \n  7 -> 9 [size =\"6018048\"]\n  8 [size=\"71690240\", alpha=\"0.07\", expect_size=\"28676096\"] \n  8 -> 9 [size =\"28676096\"]\n  9 [size=\"95208960\", alpha=\"0.00\", expect_size=\"38083584\"] \n  9 -> 10 [size =\"38083584\"]\n  9 -> 11 [size =\"38083584\"]\n  10 [size=\"25349120\", alpha=\"0.14\", expect_size=\"10139648\"] \n  10 -> 12 [size =\"10139648\"]\n  10 -> 13 [size =\"10139648\"]\n  11 [size=\"39953920\", alpha=\"0.04\", expect_size=\"15981568\"] \n  11 -> 12 [size =\"15981568\"]\n  11 -> 13 [size =\"15981568\"]\n  12 [size=\"56599040\", alpha=\"0.05\", expect_size=\"22639616\"] \n  12 -> 14 [size =\"22639616\"]\n  13 [size=\"59456000\", alpha=\"0.16\", expect_size=\"23782400\"] \n  13 -> 15 [size =\"23782400\"]\n  14 [size=\"49251840\", alpha=\"0.12\", expect_size=\"19700736\"] \n  15 [size=\"39160320\", alpha=\"0.10\", expect_size=\"15664128\"] \n  15 -> 16 [size =\"15664128\"]\n  16 [size=\"79395840\", alpha=\"0.01\", expect_size=\"31758336\"] \n  16 -> 17 [size =\"31758336\"]\n  17 [size=\"54000640\", alpha=\"0.07\", expect_size=\"21600256\"] \n  17 -> 18 [size =\"21600256\"]\n  17 -> 19 [size =\"21600256\"]\n  18 [size=\"107343360\", alpha=\"0.03\", expect_size=\"42937344\"] \n  19 [size=\"31787520\", alpha=\"0.12\", expect_size=\"12715008\"] \n  19 -> 20 [size =\"12715008\"]\n  20 [size=\"32204800\", alpha=\"0.17\", expect_size=\"12881920\"] \n  20 -> 21 [size =\"12881920\"]\n  20 -> 22 [size =\"12881920\"]\n  21 [size=\"115944960\", alpha=\"0.14\", expect_size=\"46377984\"] \n  21 -> 23 [size =\"46377984\"]\n  22 [size=\"23915520\", alpha=\"0.20\", expect_size=\"9566208\"] \n  22 -> 23 [size =\"9566208\"]\n  22 -> 24 [size =\"9566208\"]\n  23 [size=\"52805120\", alpha=\"0.10\", expect_size=\"21122048\"] \n  23 -> 25 [size =\"21122048\"]\n  24 [size=\"31539200\", alpha=\"0.11\", expect_size=\"12615680\"] \n  24 -> 25 [size =\"12615680\"]\n  25 [size=\"101905920\", alpha=\"0.07\", expect_size=\"40762368\"] \n  25 -> 26 [size =\"40762368\"]\n  25 -> 27 [size =\"40762368\"]\n  26 [size=\"43166720\", alpha=\"0.10\", expect_size=\"17266688\"] \n  26 -> 28 [size =\"17266688\"]\n  26 -> 29 [size =\"17266688\"]\n  27 [size=\"48476160\", alpha=\"0.14\", expect_size=\"19390464\"] \n  28 [size=\"90833920\", alpha=\"0.07\", expect_size=\"36333568\"] \n  28 -> 30 [size =\"36333568\"]\n  29 [size=\"107033600\", alpha=\"0.15\", expect_size=\"42813440\"] \n  29 -> 30 [size =\"42813440\"]\n  30 [size=\"58644480\", alpha=\"0.04\", expect_size=\"23457792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148295680\", alpha=\"0.18\", expect_size=\"44488704\"] \n  1 -> 11 [size =\"44488704\"]\n  1 -> 12 [size =\"44488704\"]\n  1 -> 14 [size =\"44488704\"]\n  1 -> 18 [size =\"44488704\"]\n  2 [size=\"70973440\", alpha=\"0.00\", expect_size=\"21292032\"] \n  2 -> 12 [size =\"21292032\"]\n  2 -> 16 [size =\"21292032\"]\n  3 [size=\"20036267\", alpha=\"0.10\", expect_size=\"6010880\"] \n  3 -> 11 [size =\"6010880\"]\n  3 -> 12 [size =\"6010880\"]\n  3 -> 16 [size =\"6010880\"]\n  3 -> 17 [size =\"6010880\"]\n  3 -> 19 [size =\"6010880\"]\n  4 [size=\"159747413\", alpha=\"0.20\", expect_size=\"47924224\"] \n  4 -> 13 [size =\"47924224\"]\n  4 -> 16 [size =\"47924224\"]\n  4 -> 19 [size =\"47924224\"]\n  5 [size=\"38266880\", alpha=\"0.20\", expect_size=\"11480064\"] \n  5 -> 11 [size =\"11480064\"]\n  5 -> 13 [size =\"11480064\"]\n  5 -> 14 [size =\"11480064\"]\n  5 -> 17 [size =\"11480064\"]\n  5 -> 19 [size =\"11480064\"]\n  6 [size=\"59791360\", alpha=\"0.14\", expect_size=\"17937408\"] \n  6 -> 11 [size =\"17937408\"]\n  6 -> 13 [size =\"17937408\"]\n  6 -> 17 [size =\"17937408\"]\n  6 -> 17 [size =\"17937408\"]\n  6 -> 19 [size =\"17937408\"]\n  7 [size=\"166908587\", alpha=\"0.19\", expect_size=\"50072576\"] \n  7 -> 11 [size =\"50072576\"]\n  8 [size=\"165147307\", alpha=\"0.17\", expect_size=\"49544192\"] \n  8 -> 13 [size =\"49544192\"]\n  8 -> 15 [size =\"49544192\"]\n  8 -> 19 [size =\"49544192\"]\n  9 [size=\"61620907\", alpha=\"0.05\", expect_size=\"18486272\"] \n  9 -> 11 [size =\"18486272\"]\n  9 -> 12 [size =\"18486272\"]\n  9 -> 19 [size =\"18486272\"]\n  10 [size=\"51210240\", alpha=\"0.11\", expect_size=\"15363072\"] \n  10 -> 18 [size =\"15363072\"]\n  11 [size=\"162276693\", alpha=\"0.12\", expect_size=\"48683008\"] \n  11 -> 20 [size =\"48683008\"]\n  11 -> 25 [size =\"48683008\"]\n  11 -> 26 [size =\"48683008\"]\n  12 [size=\"144414720\", alpha=\"0.01\", expect_size=\"43324416\"] \n  12 -> 21 [size =\"43324416\"]\n  12 -> 22 [size =\"43324416\"]\n  12 -> 25 [size =\"43324416\"]\n  13 [size=\"145117867\", alpha=\"0.04\", expect_size=\"43535360\"] \n  13 -> 20 [size =\"43535360\"]\n  13 -> 24 [size =\"43535360\"]\n  13 -> 25 [size =\"43535360\"]\n  13 -> 27 [size =\"43535360\"]\n  14 [size=\"68092587\", alpha=\"0.16\", expect_size=\"20427776\"] \n  14 -> 20 [size =\"20427776\"]\n  14 -> 22 [size =\"20427776\"]\n  14 -> 24 [size =\"20427776\"]\n  14 -> 27 [size =\"20427776\"]\n  14 -> 28 [size =\"20427776\"]\n  15 [size=\"64873813\", alpha=\"0.04\", expect_size=\"19462144\"] \n  15 -> 22 [size =\"19462144\"]\n  15 -> 25 [size =\"19462144\"]\n  15 -> 27 [size =\"19462144\"]\n  16 [size=\"61016747\", alpha=\"0.11\", expect_size=\"18305024\"] \n  16 -> 23 [size =\"18305024\"]\n  16 -> 25 [size =\"18305024\"]\n  16 -> 26 [size =\"18305024\"]\n  16 -> 27 [size =\"18305024\"]\n  16 -> 28 [size =\"18305024\"]\n  17 [size=\"174588587\", alpha=\"0.19\", expect_size=\"52376576\"] \n  17 -> 24 [size =\"52376576\"]\n  18 [size=\"164727467\", alpha=\"0.10\", expect_size=\"49418240\"] \n  18 -> 22 [size =\"49418240\"]\n  18 -> 26 [size =\"49418240\"]\n  19 [size=\"140967253\", alpha=\"0.06\", expect_size=\"42290176\"] \n  19 -> 20 [size =\"42290176\"]\n  19 -> 21 [size =\"42290176\"]\n  19 -> 26 [size =\"42290176\"]\n  19 -> 28 [size =\"42290176\"]\n  20 [size=\"19991893\", alpha=\"0.09\", expect_size=\"5997568\"] \n  20 -> 29 [size =\"5997568\"]\n  20 -> 30 [size =\"5997568\"]\n  21 [size=\"109240320\", alpha=\"0.09\", expect_size=\"32772096\"] \n  21 -> 29 [size =\"32772096\"]\n  21 -> 30 [size =\"32772096\"]\n  22 [size=\"43936427\", alpha=\"0.15\", expect_size=\"13180928\"] \n  22 -> 29 [size =\"13180928\"]\n  22 -> 30 [size =\"13180928\"]\n  23 [size=\"55569067\", alpha=\"0.02\", expect_size=\"16670720\"] \n  23 -> 29 [size =\"16670720\"]\n  24 [size=\"84053333\", alpha=\"0.07\", expect_size=\"25216000\"] \n  25 [size=\"55159467\", alpha=\"0.15\", expect_size=\"16547840\"] \n  26 [size=\"83339947\", alpha=\"0.07\", expect_size=\"25001984\"] \n  26 -> 30 [size =\"25001984\"]\n  27 [size=\"167464960\", alpha=\"0.19\", expect_size=\"50239488\"] \n  27 -> 29 [size =\"50239488\"]\n  27 -> 30 [size =\"50239488\"]\n  28 [size=\"160467627\", alpha=\"0.10\", expect_size=\"48140288\"] \n  28 -> 29 [size =\"48140288\"]\n  28 -> 30 [size =\"48140288\"]\n  29 [size=\"83684693\", alpha=\"0.06\", expect_size=\"25105408\"] \n  30 [size=\"130751147\", alpha=\"0.07\", expect_size=\"39225344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53550080\", alpha=\"0.19\", expect_size=\"21420032\"] \n  1 -> 17 [size =\"21420032\"]\n  1 -> 18 [size =\"21420032\"]\n  1 -> 20 [size =\"21420032\"]\n  1 -> 21 [size =\"21420032\"]\n  2 [size=\"84395520\", alpha=\"0.02\", expect_size=\"33758208\"] \n  2 -> 12 [size =\"33758208\"]\n  2 -> 13 [size =\"33758208\"]\n  2 -> 15 [size =\"33758208\"]\n  2 -> 16 [size =\"33758208\"]\n  3 [size=\"33031680\", alpha=\"0.19\", expect_size=\"13212672\"] \n  3 -> 16 [size =\"13212672\"]\n  4 [size=\"49344000\", alpha=\"0.02\", expect_size=\"19737600\"] \n  4 -> 13 [size =\"19737600\"]\n  4 -> 16 [size =\"19737600\"]\n  4 -> 20 [size =\"19737600\"]\n  5 [size=\"118348800\", alpha=\"0.08\", expect_size=\"47339520\"] \n  5 -> 14 [size =\"47339520\"]\n  5 -> 16 [size =\"47339520\"]\n  5 -> 18 [size =\"47339520\"]\n  5 -> 22 [size =\"47339520\"]\n  6 [size=\"54899200\", alpha=\"0.10\", expect_size=\"21959680\"] \n  6 -> 14 [size =\"21959680\"]\n  6 -> 21 [size =\"21959680\"]\n  6 -> 22 [size =\"21959680\"]\n  7 [size=\"110054400\", alpha=\"0.03\", expect_size=\"44021760\"] \n  7 -> 19 [size =\"44021760\"]\n  7 -> 20 [size =\"44021760\"]\n  7 -> 21 [size =\"44021760\"]\n  7 -> 22 [size =\"44021760\"]\n  8 [size=\"117690880\", alpha=\"0.09\", expect_size=\"47076352\"] \n  8 -> 14 [size =\"47076352\"]\n  8 -> 15 [size =\"47076352\"]\n  8 -> 17 [size =\"47076352\"]\n  8 -> 18 [size =\"47076352\"]\n  8 -> 19 [size =\"47076352\"]\n  8 -> 20 [size =\"47076352\"]\n  9 [size=\"40081920\", alpha=\"0.18\", expect_size=\"16032768\"] \n  9 -> 12 [size =\"16032768\"]\n  9 -> 13 [size =\"16032768\"]\n  9 -> 14 [size =\"16032768\"]\n  9 -> 15 [size =\"16032768\"]\n  9 -> 18 [size =\"16032768\"]\n  9 -> 19 [size =\"16032768\"]\n  10 [size=\"66199040\", alpha=\"0.12\", expect_size=\"26479616\"] \n  10 -> 15 [size =\"26479616\"]\n  10 -> 19 [size =\"26479616\"]\n  11 [size=\"59138560\", alpha=\"0.16\", expect_size=\"23655424\"] \n  11 -> 12 [size =\"23655424\"]\n  11 -> 13 [size =\"23655424\"]\n  11 -> 15 [size =\"23655424\"]\n  11 -> 18 [size =\"23655424\"]\n  11 -> 19 [size =\"23655424\"]\n  11 -> 20 [size =\"23655424\"]\n  11 -> 22 [size =\"23655424\"]\n  12 [size=\"54072320\", alpha=\"0.14\", expect_size=\"21628928\"] \n  12 -> 23 [size =\"21628928\"]\n  12 -> 25 [size =\"21628928\"]\n  12 -> 29 [size =\"21628928\"]\n  13 [size=\"65630720\", alpha=\"0.05\", expect_size=\"26252288\"] \n  13 -> 23 [size =\"26252288\"]\n  13 -> 25 [size =\"26252288\"]\n  13 -> 29 [size =\"26252288\"]\n  13 -> 30 [size =\"26252288\"]\n  14 [size=\"57200640\", alpha=\"0.15\", expect_size=\"22880256\"] \n  14 -> 23 [size =\"22880256\"]\n  14 -> 24 [size =\"22880256\"]\n  14 -> 26 [size =\"22880256\"]\n  15 [size=\"70848000\", alpha=\"0.05\", expect_size=\"28339200\"] \n  15 -> 25 [size =\"28339200\"]\n  16 [size=\"116656640\", alpha=\"0.17\", expect_size=\"46662656\"] \n  16 -> 27 [size =\"46662656\"]\n  16 -> 30 [size =\"46662656\"]\n  17 [size=\"57297920\", alpha=\"0.14\", expect_size=\"22919168\"] \n  17 -> 23 [size =\"22919168\"]\n  17 -> 29 [size =\"22919168\"]\n  17 -> 30 [size =\"22919168\"]\n  18 [size=\"76019200\", alpha=\"0.11\", expect_size=\"30407680\"] \n  18 -> 25 [size =\"30407680\"]\n  18 -> 27 [size =\"30407680\"]\n  18 -> 29 [size =\"30407680\"]\n  19 [size=\"13591040\", alpha=\"0.01\", expect_size=\"5436416\"] \n  19 -> 25 [size =\"5436416\"]\n  19 -> 28 [size =\"5436416\"]\n  20 [size=\"120821760\", alpha=\"0.03\", expect_size=\"48328704\"] \n  20 -> 23 [size =\"48328704\"]\n  20 -> 26 [size =\"48328704\"]\n  20 -> 28 [size =\"48328704\"]\n  21 [size=\"73536000\", alpha=\"0.11\", expect_size=\"29414400\"] \n  21 -> 25 [size =\"29414400\"]\n  21 -> 29 [size =\"29414400\"]\n  21 -> 30 [size =\"29414400\"]\n  22 [size=\"49605120\", alpha=\"0.12\", expect_size=\"19842048\"] \n  22 -> 27 [size =\"19842048\"]\n  22 -> 28 [size =\"19842048\"]\n  22 -> 29 [size =\"19842048\"]\n  22 -> 30 [size =\"19842048\"]\n  23 [size=\"17154560\", alpha=\"0.17\", expect_size=\"6861824\"] \n  24 [size=\"47482880\", alpha=\"0.07\", expect_size=\"18993152\"] \n  25 [size=\"19322880\", alpha=\"0.16\", expect_size=\"7729152\"] \n  26 [size=\"49016320\", alpha=\"0.11\", expect_size=\"19606528\"] \n  27 [size=\"29928960\", alpha=\"0.03\", expect_size=\"11971584\"] \n  28 [size=\"110858240\", alpha=\"0.12\", expect_size=\"44343296\"] \n  29 [size=\"60574720\", alpha=\"0.07\", expect_size=\"24229888\"] \n  30 [size=\"63790080\", alpha=\"0.10\", expect_size=\"25516032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28313600\", alpha=\"0.07\", expect_size=\"8494080\"] \n  1 -> 11 [size =\"8494080\"]\n  1 -> 13 [size =\"8494080\"]\n  1 -> 18 [size =\"8494080\"]\n  2 [size=\"20838400\", alpha=\"0.17\", expect_size=\"6251520\"] \n  2 -> 10 [size =\"6251520\"]\n  2 -> 12 [size =\"6251520\"]\n  2 -> 13 [size =\"6251520\"]\n  2 -> 15 [size =\"6251520\"]\n  3 [size=\"104833707\", alpha=\"0.12\", expect_size=\"31450112\"] \n  3 -> 11 [size =\"31450112\"]\n  3 -> 17 [size =\"31450112\"]\n  4 [size=\"35252907\", alpha=\"0.16\", expect_size=\"10575872\"] \n  4 -> 11 [size =\"10575872\"]\n  5 [size=\"74123947\", alpha=\"0.15\", expect_size=\"22237184\"] \n  5 -> 11 [size =\"22237184\"]\n  5 -> 12 [size =\"22237184\"]\n  5 -> 14 [size =\"22237184\"]\n  5 -> 15 [size =\"22237184\"]\n  5 -> 16 [size =\"22237184\"]\n  6 [size=\"161887573\", alpha=\"0.09\", expect_size=\"48566272\"] \n  6 -> 11 [size =\"48566272\"]\n  6 -> 12 [size =\"48566272\"]\n  6 -> 16 [size =\"48566272\"]\n  6 -> 17 [size =\"48566272\"]\n  6 -> 18 [size =\"48566272\"]\n  7 [size=\"58893653\", alpha=\"0.17\", expect_size=\"17668096\"] \n  7 -> 11 [size =\"17668096\"]\n  7 -> 17 [size =\"17668096\"]\n  8 [size=\"152487253\", alpha=\"0.13\", expect_size=\"45746176\"] \n  8 -> 12 [size =\"45746176\"]\n  8 -> 13 [size =\"45746176\"]\n  8 -> 14 [size =\"45746176\"]\n  8 -> 15 [size =\"45746176\"]\n  8 -> 16 [size =\"45746176\"]\n  9 [size=\"120248320\", alpha=\"0.04\", expect_size=\"36074496\"] \n  9 -> 10 [size =\"36074496\"]\n  9 -> 12 [size =\"36074496\"]\n  9 -> 13 [size =\"36074496\"]\n  9 -> 15 [size =\"36074496\"]\n  9 -> 16 [size =\"36074496\"]\n  9 -> 17 [size =\"36074496\"]\n  9 -> 18 [size =\"36074496\"]\n  10 [size=\"20783787\", alpha=\"0.05\", expect_size=\"6235136\"] \n  10 -> 22 [size =\"6235136\"]\n  10 -> 27 [size =\"6235136\"]\n  11 [size=\"97382400\", alpha=\"0.03\", expect_size=\"29214720\"] \n  11 -> 19 [size =\"29214720\"]\n  11 -> 21 [size =\"29214720\"]\n  11 -> 23 [size =\"29214720\"]\n  11 -> 26 [size =\"29214720\"]\n  12 [size=\"149463040\", alpha=\"0.17\", expect_size=\"44838912\"] \n  12 -> 19 [size =\"44838912\"]\n  12 -> 21 [size =\"44838912\"]\n  12 -> 23 [size =\"44838912\"]\n  13 [size=\"124917760\", alpha=\"0.02\", expect_size=\"37475328\"] \n  13 -> 22 [size =\"37475328\"]\n  13 -> 23 [size =\"37475328\"]\n  13 -> 24 [size =\"37475328\"]\n  13 -> 25 [size =\"37475328\"]\n  13 -> 27 [size =\"37475328\"]\n  14 [size=\"64617813\", alpha=\"0.15\", expect_size=\"19385344\"] \n  14 -> 19 [size =\"19385344\"]\n  14 -> 21 [size =\"19385344\"]\n  14 -> 23 [size =\"19385344\"]\n  14 -> 24 [size =\"19385344\"]\n  14 -> 27 [size =\"19385344\"]\n  15 [size=\"36239360\", alpha=\"0.03\", expect_size=\"10871808\"] \n  15 -> 22 [size =\"10871808\"]\n  15 -> 23 [size =\"10871808\"]\n  16 [size=\"154286080\", alpha=\"0.06\", expect_size=\"46285824\"] \n  16 -> 26 [size =\"46285824\"]\n  17 [size=\"66519040\", alpha=\"0.14\", expect_size=\"19955712\"] \n  17 -> 19 [size =\"19955712\"]\n  17 -> 20 [size =\"19955712\"]\n  17 -> 21 [size =\"19955712\"]\n  17 -> 26 [size =\"19955712\"]\n  18 [size=\"44434773\", alpha=\"0.12\", expect_size=\"13330432\"] \n  18 -> 21 [size =\"13330432\"]\n  18 -> 27 [size =\"13330432\"]\n  19 [size=\"144472747\", alpha=\"0.03\", expect_size=\"43341824\"] \n  19 -> 28 [size =\"43341824\"]\n  20 [size=\"18855253\", alpha=\"0.15\", expect_size=\"5656576\"] \n  20 -> 30 [size =\"5656576\"]\n  21 [size=\"58183680\", alpha=\"0.07\", expect_size=\"17455104\"] \n  21 -> 28 [size =\"17455104\"]\n  21 -> 30 [size =\"17455104\"]\n  22 [size=\"82179413\", alpha=\"0.01\", expect_size=\"24653824\"] \n  22 -> 30 [size =\"24653824\"]\n  23 [size=\"61091840\", alpha=\"0.05\", expect_size=\"18327552\"] \n  23 -> 29 [size =\"18327552\"]\n  24 [size=\"80506880\", alpha=\"0.11\", expect_size=\"24152064\"] \n  24 -> 30 [size =\"24152064\"]\n  25 [size=\"37771947\", alpha=\"0.05\", expect_size=\"11331584\"] \n  25 -> 28 [size =\"11331584\"]\n  25 -> 29 [size =\"11331584\"]\n  26 [size=\"61709653\", alpha=\"0.17\", expect_size=\"18512896\"] \n  26 -> 28 [size =\"18512896\"]\n  26 -> 29 [size =\"18512896\"]\n  27 [size=\"109192533\", alpha=\"0.15\", expect_size=\"32757760\"] \n  28 [size=\"63962453\", alpha=\"0.09\", expect_size=\"19188736\"] \n  29 [size=\"160539307\", alpha=\"0.17\", expect_size=\"48161792\"] \n  30 [size=\"29044053\", alpha=\"0.05\", expect_size=\"8713216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24707072\", alpha=\"0.19\", expect_size=\"12353536\"] \n  1 -> 17 [size =\"12353536\"]\n  1 -> 18 [size =\"12353536\"]\n  1 -> 19 [size =\"12353536\"]\n  1 -> 20 [size =\"12353536\"]\n  1 -> 25 [size =\"12353536\"]\n  1 -> 28 [size =\"12353536\"]\n  1 -> 30 [size =\"12353536\"]\n  2 [size=\"42612736\", alpha=\"0.02\", expect_size=\"21306368\"] \n  2 -> 19 [size =\"21306368\"]\n  2 -> 21 [size =\"21306368\"]\n  2 -> 22 [size =\"21306368\"]\n  2 -> 25 [size =\"21306368\"]\n  2 -> 26 [size =\"21306368\"]\n  2 -> 28 [size =\"21306368\"]\n  3 [size=\"87885824\", alpha=\"0.01\", expect_size=\"43942912\"] \n  3 -> 19 [size =\"43942912\"]\n  3 -> 21 [size =\"43942912\"]\n  3 -> 22 [size =\"43942912\"]\n  3 -> 23 [size =\"43942912\"]\n  3 -> 24 [size =\"43942912\"]\n  3 -> 25 [size =\"43942912\"]\n  3 -> 26 [size =\"43942912\"]\n  3 -> 27 [size =\"43942912\"]\n  3 -> 28 [size =\"43942912\"]\n  3 -> 29 [size =\"43942912\"]\n  4 [size=\"64901120\", alpha=\"0.04\", expect_size=\"32450560\"] \n  4 -> 17 [size =\"32450560\"]\n  4 -> 19 [size =\"32450560\"]\n  4 -> 20 [size =\"32450560\"]\n  4 -> 21 [size =\"32450560\"]\n  4 -> 23 [size =\"32450560\"]\n  4 -> 25 [size =\"32450560\"]\n  4 -> 26 [size =\"32450560\"]\n  5 [size=\"65492992\", alpha=\"0.14\", expect_size=\"32746496\"] \n  5 -> 18 [size =\"32746496\"]\n  5 -> 19 [size =\"32746496\"]\n  5 -> 20 [size =\"32746496\"]\n  5 -> 21 [size =\"32746496\"]\n  5 -> 22 [size =\"32746496\"]\n  5 -> 24 [size =\"32746496\"]\n  5 -> 26 [size =\"32746496\"]\n  5 -> 30 [size =\"32746496\"]\n  6 [size=\"52635648\", alpha=\"0.15\", expect_size=\"26317824\"] \n  6 -> 18 [size =\"26317824\"]\n  6 -> 19 [size =\"26317824\"]\n  6 -> 20 [size =\"26317824\"]\n  6 -> 22 [size =\"26317824\"]\n  6 -> 24 [size =\"26317824\"]\n  6 -> 25 [size =\"26317824\"]\n  6 -> 26 [size =\"26317824\"]\n  7 [size=\"37670912\", alpha=\"0.13\", expect_size=\"18835456\"] \n  7 -> 18 [size =\"18835456\"]\n  7 -> 20 [size =\"18835456\"]\n  7 -> 20 [size =\"18835456\"]\n  7 -> 21 [size =\"18835456\"]\n  7 -> 22 [size =\"18835456\"]\n  7 -> 23 [size =\"18835456\"]\n  7 -> 24 [size =\"18835456\"]\n  7 -> 25 [size =\"18835456\"]\n  7 -> 26 [size =\"18835456\"]\n  7 -> 27 [size =\"18835456\"]\n  7 -> 29 [size =\"18835456\"]\n  8 [size=\"71424000\", alpha=\"0.16\", expect_size=\"35712000\"] \n  8 -> 18 [size =\"35712000\"]\n  8 -> 20 [size =\"35712000\"]\n  8 -> 23 [size =\"35712000\"]\n  8 -> 26 [size =\"35712000\"]\n  9 [size=\"87244800\", alpha=\"0.07\", expect_size=\"43622400\"] \n  9 -> 16 [size =\"43622400\"]\n  9 -> 17 [size =\"43622400\"]\n  9 -> 18 [size =\"43622400\"]\n  9 -> 20 [size =\"43622400\"]\n  9 -> 21 [size =\"43622400\"]\n  9 -> 22 [size =\"43622400\"]\n  9 -> 23 [size =\"43622400\"]\n  9 -> 25 [size =\"43622400\"]\n  9 -> 26 [size =\"43622400\"]\n  10 [size=\"26437632\", alpha=\"0.08\", expect_size=\"13218816\"] \n  10 -> 17 [size =\"13218816\"]\n  10 -> 18 [size =\"13218816\"]\n  10 -> 18 [size =\"13218816\"]\n  10 -> 19 [size =\"13218816\"]\n  10 -> 20 [size =\"13218816\"]\n  10 -> 21 [size =\"13218816\"]\n  10 -> 22 [size =\"13218816\"]\n  10 -> 24 [size =\"13218816\"]\n  10 -> 25 [size =\"13218816\"]\n  10 -> 26 [size =\"13218816\"]\n  11 [size=\"58896384\", alpha=\"0.01\", expect_size=\"29448192\"] \n  11 -> 17 [size =\"29448192\"]\n  11 -> 18 [size =\"29448192\"]\n  11 -> 19 [size =\"29448192\"]\n  11 -> 22 [size =\"29448192\"]\n  11 -> 26 [size =\"29448192\"]\n  12 [size=\"52842496\", alpha=\"0.02\", expect_size=\"26421248\"] \n  12 -> 17 [size =\"26421248\"]\n  12 -> 18 [size =\"26421248\"]\n  12 -> 19 [size =\"26421248\"]\n  12 -> 20 [size =\"26421248\"]\n  12 -> 22 [size =\"26421248\"]\n  12 -> 26 [size =\"26421248\"]\n  12 -> 27 [size =\"26421248\"]\n  12 -> 29 [size =\"26421248\"]\n  12 -> 30 [size =\"26421248\"]\n  13 [size=\"63229952\", alpha=\"0.02\", expect_size=\"31614976\"] \n  13 -> 17 [size =\"31614976\"]\n  13 -> 18 [size =\"31614976\"]\n  13 -> 19 [size =\"31614976\"]\n  13 -> 20 [size =\"31614976\"]\n  13 -> 21 [size =\"31614976\"]\n  13 -> 22 [size =\"31614976\"]\n  13 -> 24 [size =\"31614976\"]\n  13 -> 25 [size =\"31614976\"]\n  13 -> 27 [size =\"31614976\"]\n  13 -> 28 [size =\"31614976\"]\n  13 -> 30 [size =\"31614976\"]\n  14 [size=\"70086656\", alpha=\"0.00\", expect_size=\"35043328\"] \n  14 -> 17 [size =\"35043328\"]\n  14 -> 18 [size =\"35043328\"]\n  14 -> 19 [size =\"35043328\"]\n  14 -> 20 [size =\"35043328\"]\n  14 -> 21 [size =\"35043328\"]\n  14 -> 22 [size =\"35043328\"]\n  14 -> 23 [size =\"35043328\"]\n  14 -> 24 [size =\"35043328\"]\n  14 -> 26 [size =\"35043328\"]\n  14 -> 27 [size =\"35043328\"]\n  14 -> 29 [size =\"35043328\"]\n  15 [size=\"90324992\", alpha=\"0.15\", expect_size=\"45162496\"] \n  15 -> 18 [size =\"45162496\"]\n  15 -> 18 [size =\"45162496\"]\n  15 -> 19 [size =\"45162496\"]\n  15 -> 20 [size =\"45162496\"]\n  15 -> 22 [size =\"45162496\"]\n  15 -> 22 [size =\"45162496\"]\n  15 -> 24 [size =\"45162496\"]\n  15 -> 24 [size =\"45162496\"]\n  15 -> 25 [size =\"45162496\"]\n  15 -> 26 [size =\"45162496\"]\n  16 [size=\"63963136\", alpha=\"0.17\", expect_size=\"31981568\"] \n  17 [size=\"39266304\", alpha=\"0.18\", expect_size=\"19633152\"] \n  18 [size=\"101967872\", alpha=\"0.04\", expect_size=\"50983936\"] \n  19 [size=\"84140032\", alpha=\"0.15\", expect_size=\"42070016\"] \n  20 [size=\"20979712\", alpha=\"0.13\", expect_size=\"10489856\"] \n  21 [size=\"59930624\", alpha=\"0.14\", expect_size=\"29965312\"] \n  22 [size=\"63416320\", alpha=\"0.02\", expect_size=\"31708160\"] \n  23 [size=\"71559168\", alpha=\"0.07\", expect_size=\"35779584\"] \n  24 [size=\"80504832\", alpha=\"0.03\", expect_size=\"40252416\"] \n  25 [size=\"81272832\", alpha=\"0.11\", expect_size=\"40636416\"] \n  26 [size=\"56715264\", alpha=\"0.07\", expect_size=\"28357632\"] \n  27 [size=\"44257280\", alpha=\"0.10\", expect_size=\"22128640\"] \n  28 [size=\"35567616\", alpha=\"0.05\", expect_size=\"17783808\"] \n  29 [size=\"55775232\", alpha=\"0.17\", expect_size=\"27887616\"] \n  30 [size=\"29925376\", alpha=\"0.12\", expect_size=\"14962688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128416427\", alpha=\"0.04\", expect_size=\"38524928\"] \n  1 -> 8 [size =\"38524928\"]\n  1 -> 10 [size =\"38524928\"]\n  2 [size=\"111523840\", alpha=\"0.15\", expect_size=\"33457152\"] \n  2 -> 6 [size =\"33457152\"]\n  2 -> 10 [size =\"33457152\"]\n  3 [size=\"68706987\", alpha=\"0.03\", expect_size=\"20612096\"] \n  3 -> 9 [size =\"20612096\"]\n  4 [size=\"110803627\", alpha=\"0.01\", expect_size=\"33241088\"] \n  4 -> 6 [size =\"33241088\"]\n  4 -> 7 [size =\"33241088\"]\n  4 -> 10 [size =\"33241088\"]\n  5 [size=\"107704320\", alpha=\"0.13\", expect_size=\"32311296\"] \n  5 -> 7 [size =\"32311296\"]\n  6 [size=\"109393920\", alpha=\"0.16\", expect_size=\"32818176\"] \n  6 -> 11 [size =\"32818176\"]\n  6 -> 14 [size =\"32818176\"]\n  7 [size=\"62675627\", alpha=\"0.09\", expect_size=\"18802688\"] \n  7 -> 11 [size =\"18802688\"]\n  8 [size=\"23377920\", alpha=\"0.04\", expect_size=\"7013376\"] \n  8 -> 11 [size =\"7013376\"]\n  8 -> 12 [size =\"7013376\"]\n  9 [size=\"149783893\", alpha=\"0.09\", expect_size=\"44935168\"] \n  9 -> 12 [size =\"44935168\"]\n  9 -> 13 [size =\"44935168\"]\n  10 [size=\"35024213\", alpha=\"0.15\", expect_size=\"10507264\"] \n  11 [size=\"78851413\", alpha=\"0.13\", expect_size=\"23655424\"] \n  11 -> 15 [size =\"23655424\"]\n  12 [size=\"108216320\", alpha=\"0.02\", expect_size=\"32464896\"] \n  12 -> 16 [size =\"32464896\"]\n  12 -> 17 [size =\"32464896\"]\n  13 [size=\"65221973\", alpha=\"0.03\", expect_size=\"19566592\"] \n  13 -> 15 [size =\"19566592\"]\n  13 -> 17 [size =\"19566592\"]\n  14 [size=\"90975573\", alpha=\"0.13\", expect_size=\"27292672\"] \n  14 -> 15 [size =\"27292672\"]\n  14 -> 17 [size =\"27292672\"]\n  14 -> 18 [size =\"27292672\"]\n  15 [size=\"95720107\", alpha=\"0.02\", expect_size=\"28716032\"] \n  16 [size=\"43342507\", alpha=\"0.10\", expect_size=\"13002752\"] \n  16 -> 19 [size =\"13002752\"]\n  16 -> 20 [size =\"13002752\"]\n  17 [size=\"167222613\", alpha=\"0.15\", expect_size=\"50166784\"] \n  17 -> 19 [size =\"50166784\"]\n  17 -> 20 [size =\"50166784\"]\n  17 -> 21 [size =\"50166784\"]\n  18 [size=\"77472427\", alpha=\"0.11\", expect_size=\"23241728\"] \n  18 -> 22 [size =\"23241728\"]\n  19 [size=\"105598293\", alpha=\"0.01\", expect_size=\"31679488\"] \n  19 -> 23 [size =\"31679488\"]\n  20 [size=\"17578667\", alpha=\"0.17\", expect_size=\"5273600\"] \n  20 -> 23 [size =\"5273600\"]\n  20 -> 24 [size =\"5273600\"]\n  20 -> 26 [size =\"5273600\"]\n  21 [size=\"132225707\", alpha=\"0.07\", expect_size=\"39667712\"] \n  21 -> 26 [size =\"39667712\"]\n  22 [size=\"79933440\", alpha=\"0.09\", expect_size=\"23980032\"] \n  22 -> 25 [size =\"23980032\"]\n  23 [size=\"91985920\", alpha=\"0.18\", expect_size=\"27595776\"] \n  23 -> 27 [size =\"27595776\"]\n  24 [size=\"116008960\", alpha=\"0.18\", expect_size=\"34802688\"] \n  24 -> 29 [size =\"34802688\"]\n  25 [size=\"59310080\", alpha=\"0.10\", expect_size=\"17793024\"] \n  25 -> 28 [size =\"17793024\"]\n  26 [size=\"72799573\", alpha=\"0.14\", expect_size=\"21839872\"] \n  26 -> 29 [size =\"21839872\"]\n  26 -> 30 [size =\"21839872\"]\n  27 [size=\"149766827\", alpha=\"0.03\", expect_size=\"44930048\"] \n  28 [size=\"108939947\", alpha=\"0.13\", expect_size=\"32681984\"] \n  29 [size=\"39464960\", alpha=\"0.00\", expect_size=\"11839488\"] \n  30 [size=\"47305387\", alpha=\"0.09\", expect_size=\"14191616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62029824\", alpha=\"0.12\", expect_size=\"31014912\"] \n  1 -> 4 [size =\"31014912\"]\n  1 -> 6 [size =\"31014912\"]\n  1 -> 8 [size =\"31014912\"]\n  1 -> 9 [size =\"31014912\"]\n  2 [size=\"32100352\", alpha=\"0.09\", expect_size=\"16050176\"] \n  2 -> 3 [size =\"16050176\"]\n  2 -> 4 [size =\"16050176\"]\n  2 -> 5 [size =\"16050176\"]\n  2 -> 7 [size =\"16050176\"]\n  2 -> 8 [size =\"16050176\"]\n  3 [size=\"62867456\", alpha=\"0.19\", expect_size=\"31433728\"] \n  3 -> 10 [size =\"31433728\"]\n  3 -> 13 [size =\"31433728\"]\n  4 [size=\"11476992\", alpha=\"0.08\", expect_size=\"5738496\"] \n  5 [size=\"18561024\", alpha=\"0.10\", expect_size=\"9280512\"] \n  5 -> 10 [size =\"9280512\"]\n  5 -> 11 [size =\"9280512\"]\n  5 -> 12 [size =\"9280512\"]\n  5 -> 13 [size =\"9280512\"]\n  6 [size=\"70856704\", alpha=\"0.15\", expect_size=\"35428352\"] \n  7 [size=\"25927680\", alpha=\"0.04\", expect_size=\"12963840\"] \n  7 -> 11 [size =\"12963840\"]\n  7 -> 12 [size =\"12963840\"]\n  8 [size=\"51779584\", alpha=\"0.05\", expect_size=\"25889792\"] \n  8 -> 11 [size =\"25889792\"]\n  8 -> 12 [size =\"25889792\"]\n  9 [size=\"51642368\", alpha=\"0.13\", expect_size=\"25821184\"] \n  9 -> 12 [size =\"25821184\"]\n  10 [size=\"20940800\", alpha=\"0.03\", expect_size=\"10470400\"] \n  10 -> 15 [size =\"10470400\"]\n  10 -> 16 [size =\"10470400\"]\n  10 -> 17 [size =\"10470400\"]\n  11 [size=\"95813632\", alpha=\"0.20\", expect_size=\"47906816\"] \n  12 [size=\"59416576\", alpha=\"0.00\", expect_size=\"29708288\"] \n  12 -> 16 [size =\"29708288\"]\n  12 -> 17 [size =\"29708288\"]\n  13 [size=\"99620864\", alpha=\"0.02\", expect_size=\"49810432\"] \n  13 -> 14 [size =\"49810432\"]\n  14 [size=\"95137792\", alpha=\"0.10\", expect_size=\"47568896\"] \n  14 -> 20 [size =\"47568896\"]\n  14 -> 21 [size =\"47568896\"]\n  15 [size=\"37773312\", alpha=\"0.05\", expect_size=\"18886656\"] \n  15 -> 18 [size =\"18886656\"]\n  15 -> 20 [size =\"18886656\"]\n  16 [size=\"83396608\", alpha=\"0.20\", expect_size=\"41698304\"] \n  16 -> 18 [size =\"41698304\"]\n  16 -> 19 [size =\"41698304\"]\n  16 -> 22 [size =\"41698304\"]\n  17 [size=\"58636288\", alpha=\"0.16\", expect_size=\"29318144\"] \n  17 -> 18 [size =\"29318144\"]\n  17 -> 19 [size =\"29318144\"]\n  17 -> 21 [size =\"29318144\"]\n  17 -> 22 [size =\"29318144\"]\n  18 [size=\"78647296\", alpha=\"0.04\", expect_size=\"39323648\"] \n  18 -> 25 [size =\"39323648\"]\n  19 [size=\"100325376\", alpha=\"0.19\", expect_size=\"50162688\"] \n  19 -> 24 [size =\"50162688\"]\n  20 [size=\"66058240\", alpha=\"0.19\", expect_size=\"33029120\"] \n  20 -> 23 [size =\"33029120\"]\n  21 [size=\"78653440\", alpha=\"0.09\", expect_size=\"39326720\"] \n  21 -> 23 [size =\"39326720\"]\n  21 -> 24 [size =\"39326720\"]\n  21 -> 25 [size =\"39326720\"]\n  22 [size=\"77187072\", alpha=\"0.05\", expect_size=\"38593536\"] \n  23 [size=\"77914112\", alpha=\"0.11\", expect_size=\"38957056\"] \n  23 -> 26 [size =\"38957056\"]\n  23 -> 27 [size =\"38957056\"]\n  23 -> 28 [size =\"38957056\"]\n  23 -> 29 [size =\"38957056\"]\n  24 [size=\"85792768\", alpha=\"0.18\", expect_size=\"42896384\"] \n  24 -> 27 [size =\"42896384\"]\n  24 -> 29 [size =\"42896384\"]\n  25 [size=\"37814272\", alpha=\"0.06\", expect_size=\"18907136\"] \n  25 -> 26 [size =\"18907136\"]\n  25 -> 27 [size =\"18907136\"]\n  25 -> 29 [size =\"18907136\"]\n  26 [size=\"62072832\", alpha=\"0.07\", expect_size=\"31036416\"] \n  27 [size=\"61327360\", alpha=\"0.11\", expect_size=\"30663680\"] \n  27 -> 30 [size =\"30663680\"]\n  28 [size=\"42332160\", alpha=\"0.04\", expect_size=\"21166080\"] \n  29 [size=\"60592128\", alpha=\"0.06\", expect_size=\"30296064\"] \n  30 [size=\"56107008\", alpha=\"0.10\", expect_size=\"28053504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65249280\", alpha=\"0.14\", expect_size=\"32624640\"] \n  1 -> 16 [size =\"32624640\"]\n  1 -> 18 [size =\"32624640\"]\n  1 -> 22 [size =\"32624640\"]\n  1 -> 23 [size =\"32624640\"]\n  1 -> 25 [size =\"32624640\"]\n  1 -> 26 [size =\"32624640\"]\n  1 -> 28 [size =\"32624640\"]\n  1 -> 29 [size =\"32624640\"]\n  1 -> 30 [size =\"32624640\"]\n  2 [size=\"16631808\", alpha=\"0.17\", expect_size=\"8315904\"] \n  2 -> 16 [size =\"8315904\"]\n  2 -> 19 [size =\"8315904\"]\n  2 -> 20 [size =\"8315904\"]\n  2 -> 22 [size =\"8315904\"]\n  2 -> 25 [size =\"8315904\"]\n  2 -> 28 [size =\"8315904\"]\n  2 -> 29 [size =\"8315904\"]\n  2 -> 29 [size =\"8315904\"]\n  2 -> 30 [size =\"8315904\"]\n  3 [size=\"52844544\", alpha=\"0.12\", expect_size=\"26422272\"] \n  3 -> 16 [size =\"26422272\"]\n  3 -> 17 [size =\"26422272\"]\n  3 -> 18 [size =\"26422272\"]\n  3 -> 21 [size =\"26422272\"]\n  3 -> 22 [size =\"26422272\"]\n  3 -> 23 [size =\"26422272\"]\n  3 -> 25 [size =\"26422272\"]\n  3 -> 26 [size =\"26422272\"]\n  3 -> 29 [size =\"26422272\"]\n  3 -> 30 [size =\"26422272\"]\n  4 [size=\"66906112\", alpha=\"0.19\", expect_size=\"33453056\"] \n  4 -> 16 [size =\"33453056\"]\n  4 -> 17 [size =\"33453056\"]\n  4 -> 18 [size =\"33453056\"]\n  4 -> 19 [size =\"33453056\"]\n  4 -> 20 [size =\"33453056\"]\n  4 -> 21 [size =\"33453056\"]\n  4 -> 23 [size =\"33453056\"]\n  4 -> 25 [size =\"33453056\"]\n  4 -> 29 [size =\"33453056\"]\n  4 -> 30 [size =\"33453056\"]\n  5 [size=\"95078400\", alpha=\"0.15\", expect_size=\"47539200\"] \n  5 -> 16 [size =\"47539200\"]\n  5 -> 18 [size =\"47539200\"]\n  5 -> 20 [size =\"47539200\"]\n  5 -> 21 [size =\"47539200\"]\n  5 -> 24 [size =\"47539200\"]\n  5 -> 28 [size =\"47539200\"]\n  5 -> 29 [size =\"47539200\"]\n  5 -> 30 [size =\"47539200\"]\n  6 [size=\"25767936\", alpha=\"0.06\", expect_size=\"12883968\"] \n  6 -> 20 [size =\"12883968\"]\n  6 -> 21 [size =\"12883968\"]\n  6 -> 25 [size =\"12883968\"]\n  6 -> 26 [size =\"12883968\"]\n  6 -> 28 [size =\"12883968\"]\n  6 -> 30 [size =\"12883968\"]\n  7 [size=\"102731776\", alpha=\"0.05\", expect_size=\"51365888\"] \n  7 -> 17 [size =\"51365888\"]\n  7 -> 18 [size =\"51365888\"]\n  7 -> 21 [size =\"51365888\"]\n  7 -> 25 [size =\"51365888\"]\n  7 -> 29 [size =\"51365888\"]\n  7 -> 30 [size =\"51365888\"]\n  8 [size=\"78336000\", alpha=\"0.18\", expect_size=\"39168000\"] \n  8 -> 16 [size =\"39168000\"]\n  8 -> 20 [size =\"39168000\"]\n  8 -> 21 [size =\"39168000\"]\n  8 -> 22 [size =\"39168000\"]\n  8 -> 25 [size =\"39168000\"]\n  8 -> 26 [size =\"39168000\"]\n  8 -> 27 [size =\"39168000\"]\n  8 -> 30 [size =\"39168000\"]\n  9 [size=\"12724224\", alpha=\"0.04\", expect_size=\"6362112\"] \n  9 -> 17 [size =\"6362112\"]\n  9 -> 20 [size =\"6362112\"]\n  9 -> 21 [size =\"6362112\"]\n  9 -> 22 [size =\"6362112\"]\n  9 -> 25 [size =\"6362112\"]\n  9 -> 26 [size =\"6362112\"]\n  9 -> 27 [size =\"6362112\"]\n  9 -> 29 [size =\"6362112\"]\n  9 -> 30 [size =\"6362112\"]\n  10 [size=\"57923584\", alpha=\"0.09\", expect_size=\"28961792\"] \n  10 -> 16 [size =\"28961792\"]\n  10 -> 18 [size =\"28961792\"]\n  10 -> 20 [size =\"28961792\"]\n  10 -> 21 [size =\"28961792\"]\n  10 -> 22 [size =\"28961792\"]\n  10 -> 23 [size =\"28961792\"]\n  10 -> 26 [size =\"28961792\"]\n  10 -> 28 [size =\"28961792\"]\n  10 -> 29 [size =\"28961792\"]\n  10 -> 30 [size =\"28961792\"]\n  11 [size=\"45891584\", alpha=\"0.19\", expect_size=\"22945792\"] \n  11 -> 16 [size =\"22945792\"]\n  11 -> 17 [size =\"22945792\"]\n  11 -> 18 [size =\"22945792\"]\n  11 -> 21 [size =\"22945792\"]\n  11 -> 22 [size =\"22945792\"]\n  11 -> 25 [size =\"22945792\"]\n  11 -> 26 [size =\"22945792\"]\n  11 -> 29 [size =\"22945792\"]\n  12 [size=\"17799168\", alpha=\"0.20\", expect_size=\"8899584\"] \n  12 -> 17 [size =\"8899584\"]\n  12 -> 18 [size =\"8899584\"]\n  12 -> 19 [size =\"8899584\"]\n  12 -> 20 [size =\"8899584\"]\n  12 -> 21 [size =\"8899584\"]\n  12 -> 22 [size =\"8899584\"]\n  12 -> 26 [size =\"8899584\"]\n  12 -> 28 [size =\"8899584\"]\n  12 -> 29 [size =\"8899584\"]\n  12 -> 30 [size =\"8899584\"]\n  13 [size=\"99696640\", alpha=\"0.18\", expect_size=\"49848320\"] \n  13 -> 17 [size =\"49848320\"]\n  13 -> 18 [size =\"49848320\"]\n  13 -> 20 [size =\"49848320\"]\n  13 -> 21 [size =\"49848320\"]\n  13 -> 21 [size =\"49848320\"]\n  13 -> 22 [size =\"49848320\"]\n  13 -> 25 [size =\"49848320\"]\n  13 -> 26 [size =\"49848320\"]\n  13 -> 28 [size =\"49848320\"]\n  13 -> 29 [size =\"49848320\"]\n  14 [size=\"60854272\", alpha=\"0.16\", expect_size=\"30427136\"] \n  14 -> 16 [size =\"30427136\"]\n  14 -> 18 [size =\"30427136\"]\n  14 -> 21 [size =\"30427136\"]\n  14 -> 21 [size =\"30427136\"]\n  14 -> 22 [size =\"30427136\"]\n  14 -> 22 [size =\"30427136\"]\n  14 -> 25 [size =\"30427136\"]\n  14 -> 28 [size =\"30427136\"]\n  14 -> 29 [size =\"30427136\"]\n  14 -> 30 [size =\"30427136\"]\n  15 [size=\"56033280\", alpha=\"0.02\", expect_size=\"28016640\"] \n  15 -> 16 [size =\"28016640\"]\n  15 -> 18 [size =\"28016640\"]\n  15 -> 20 [size =\"28016640\"]\n  15 -> 25 [size =\"28016640\"]\n  15 -> 26 [size =\"28016640\"]\n  15 -> 28 [size =\"28016640\"]\n  15 -> 29 [size =\"28016640\"]\n  15 -> 30 [size =\"28016640\"]\n  16 [size=\"33857536\", alpha=\"0.08\", expect_size=\"16928768\"] \n  17 [size=\"60735488\", alpha=\"0.16\", expect_size=\"30367744\"] \n  18 [size=\"85463040\", alpha=\"0.14\", expect_size=\"42731520\"] \n  19 [size=\"73834496\", alpha=\"0.17\", expect_size=\"36917248\"] \n  20 [size=\"94267392\", alpha=\"0.15\", expect_size=\"47133696\"] \n  21 [size=\"42426368\", alpha=\"0.04\", expect_size=\"21213184\"] \n  22 [size=\"38096896\", alpha=\"0.14\", expect_size=\"19048448\"] \n  23 [size=\"36816896\", alpha=\"0.13\", expect_size=\"18408448\"] \n  24 [size=\"28030976\", alpha=\"0.04\", expect_size=\"14015488\"] \n  25 [size=\"103471104\", alpha=\"0.13\", expect_size=\"51735552\"] \n  26 [size=\"17319936\", alpha=\"0.06\", expect_size=\"8659968\"] \n  27 [size=\"53614592\", alpha=\"0.18\", expect_size=\"26807296\"] \n  28 [size=\"34484224\", alpha=\"0.04\", expect_size=\"17242112\"] \n  29 [size=\"100167680\", alpha=\"0.11\", expect_size=\"50083840\"] \n  30 [size=\"87308288\", alpha=\"0.07\", expect_size=\"43654144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73125888\", alpha=\"0.09\", expect_size=\"36562944\"] \n  1 -> 2 [size =\"36562944\"]\n  2 [size=\"70903808\", alpha=\"0.10\", expect_size=\"35451904\"] \n  2 -> 3 [size =\"35451904\"]\n  3 [size=\"87615488\", alpha=\"0.07\", expect_size=\"43807744\"] \n  3 -> 4 [size =\"43807744\"]\n  4 [size=\"56186880\", alpha=\"0.00\", expect_size=\"28093440\"] \n  4 -> 5 [size =\"28093440\"]\n  5 [size=\"15081472\", alpha=\"0.11\", expect_size=\"7540736\"] \n  5 -> 6 [size =\"7540736\"]\n  6 [size=\"19988480\", alpha=\"0.08\", expect_size=\"9994240\"] \n  6 -> 7 [size =\"9994240\"]\n  7 [size=\"72392704\", alpha=\"0.02\", expect_size=\"36196352\"] \n  7 -> 8 [size =\"36196352\"]\n  8 [size=\"95938560\", alpha=\"0.01\", expect_size=\"47969280\"] \n  8 -> 9 [size =\"47969280\"]\n  9 [size=\"86945792\", alpha=\"0.15\", expect_size=\"43472896\"] \n  9 -> 10 [size =\"43472896\"]\n  10 [size=\"50149376\", alpha=\"0.14\", expect_size=\"25074688\"] \n  10 -> 11 [size =\"25074688\"]\n  11 [size=\"59316224\", alpha=\"0.17\", expect_size=\"29658112\"] \n  11 -> 12 [size =\"29658112\"]\n  12 [size=\"99680256\", alpha=\"0.11\", expect_size=\"49840128\"] \n  12 -> 13 [size =\"49840128\"]\n  13 [size=\"50370560\", alpha=\"0.00\", expect_size=\"25185280\"] \n  13 -> 14 [size =\"25185280\"]\n  14 [size=\"85221376\", alpha=\"0.10\", expect_size=\"42610688\"] \n  14 -> 15 [size =\"42610688\"]\n  15 [size=\"86409216\", alpha=\"0.16\", expect_size=\"43204608\"] \n  15 -> 16 [size =\"43204608\"]\n  16 [size=\"44337152\", alpha=\"0.13\", expect_size=\"22168576\"] \n  16 -> 17 [size =\"22168576\"]\n  17 [size=\"80603136\", alpha=\"0.16\", expect_size=\"40301568\"] \n  17 -> 18 [size =\"40301568\"]\n  18 [size=\"91684864\", alpha=\"0.06\", expect_size=\"45842432\"] \n  18 -> 19 [size =\"45842432\"]\n  19 [size=\"94257152\", alpha=\"0.02\", expect_size=\"47128576\"] \n  19 -> 20 [size =\"47128576\"]\n  20 [size=\"70520832\", alpha=\"0.11\", expect_size=\"35260416\"] \n  20 -> 21 [size =\"35260416\"]\n  21 [size=\"39905280\", alpha=\"0.14\", expect_size=\"19952640\"] \n  21 -> 22 [size =\"19952640\"]\n  22 [size=\"25098240\", alpha=\"0.10\", expect_size=\"12549120\"] \n  22 -> 23 [size =\"12549120\"]\n  23 [size=\"78438400\", alpha=\"0.02\", expect_size=\"39219200\"] \n  23 -> 24 [size =\"39219200\"]\n  24 [size=\"79816704\", alpha=\"0.04\", expect_size=\"39908352\"] \n  24 -> 25 [size =\"39908352\"]\n  25 [size=\"32135168\", alpha=\"0.07\", expect_size=\"16067584\"] \n  25 -> 26 [size =\"16067584\"]\n  26 [size=\"14510080\", alpha=\"0.12\", expect_size=\"7255040\"] \n  26 -> 27 [size =\"7255040\"]\n  27 [size=\"75077632\", alpha=\"0.10\", expect_size=\"37538816\"] \n  27 -> 28 [size =\"37538816\"]\n  28 [size=\"54597632\", alpha=\"0.06\", expect_size=\"27298816\"] \n  28 -> 29 [size =\"27298816\"]\n  29 [size=\"84774912\", alpha=\"0.18\", expect_size=\"42387456\"] \n  29 -> 30 [size =\"42387456\"]\n  30 [size=\"92014592\", alpha=\"0.18\", expect_size=\"46007296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115484160\", alpha=\"0.07\", expect_size=\"46193664\"] \n  1 -> 2 [size =\"46193664\"]\n  2 [size=\"65507840\", alpha=\"0.15\", expect_size=\"26203136\"] \n  2 -> 3 [size =\"26203136\"]\n  3 [size=\"19768320\", alpha=\"0.15\", expect_size=\"7907328\"] \n  3 -> 4 [size =\"7907328\"]\n  4 [size=\"51650560\", alpha=\"0.08\", expect_size=\"20660224\"] \n  4 -> 5 [size =\"20660224\"]\n  5 [size=\"96366080\", alpha=\"0.10\", expect_size=\"38546432\"] \n  5 -> 6 [size =\"38546432\"]\n  6 [size=\"99225600\", alpha=\"0.04\", expect_size=\"39690240\"] \n  6 -> 7 [size =\"39690240\"]\n  7 [size=\"107566080\", alpha=\"0.05\", expect_size=\"43026432\"] \n  7 -> 8 [size =\"43026432\"]\n  8 [size=\"34255360\", alpha=\"0.11\", expect_size=\"13702144\"] \n  8 -> 9 [size =\"13702144\"]\n  9 [size=\"108354560\", alpha=\"0.14\", expect_size=\"43341824\"] \n  9 -> 10 [size =\"43341824\"]\n  10 [size=\"50209280\", alpha=\"0.06\", expect_size=\"20083712\"] \n  10 -> 11 [size =\"20083712\"]\n  11 [size=\"14563840\", alpha=\"0.16\", expect_size=\"5825536\"] \n  11 -> 12 [size =\"5825536\"]\n  12 [size=\"55756800\", alpha=\"0.11\", expect_size=\"22302720\"] \n  12 -> 13 [size =\"22302720\"]\n  13 [size=\"27514880\", alpha=\"0.14\", expect_size=\"11005952\"] \n  13 -> 14 [size =\"11005952\"]\n  14 [size=\"114191360\", alpha=\"0.12\", expect_size=\"45676544\"] \n  14 -> 15 [size =\"45676544\"]\n  15 [size=\"41973760\", alpha=\"0.01\", expect_size=\"16789504\"] \n  15 -> 16 [size =\"16789504\"]\n  16 [size=\"103544320\", alpha=\"0.10\", expect_size=\"41417728\"] \n  16 -> 17 [size =\"41417728\"]\n  17 [size=\"127393280\", alpha=\"0.01\", expect_size=\"50957312\"] \n  17 -> 18 [size =\"50957312\"]\n  18 [size=\"38141440\", alpha=\"0.13\", expect_size=\"15256576\"] \n  18 -> 19 [size =\"15256576\"]\n  19 [size=\"101880320\", alpha=\"0.08\", expect_size=\"40752128\"] \n  19 -> 20 [size =\"40752128\"]\n  20 [size=\"66263040\", alpha=\"0.15\", expect_size=\"26505216\"] \n  20 -> 21 [size =\"26505216\"]\n  21 [size=\"99758080\", alpha=\"0.19\", expect_size=\"39903232\"] \n  21 -> 22 [size =\"39903232\"]\n  22 [size=\"78750720\", alpha=\"0.12\", expect_size=\"31500288\"] \n  22 -> 23 [size =\"31500288\"]\n  23 [size=\"25518080\", alpha=\"0.06\", expect_size=\"10207232\"] \n  23 -> 24 [size =\"10207232\"]\n  24 [size=\"110179840\", alpha=\"0.06\", expect_size=\"44071936\"] \n  24 -> 25 [size =\"44071936\"]\n  25 [size=\"60436480\", alpha=\"0.01\", expect_size=\"24174592\"] \n  25 -> 26 [size =\"24174592\"]\n  26 [size=\"68679680\", alpha=\"0.11\", expect_size=\"27471872\"] \n  26 -> 27 [size =\"27471872\"]\n  27 [size=\"125163520\", alpha=\"0.16\", expect_size=\"50065408\"] \n  27 -> 28 [size =\"50065408\"]\n  28 [size=\"15784960\", alpha=\"0.05\", expect_size=\"6313984\"] \n  28 -> 29 [size =\"6313984\"]\n  29 [size=\"92945920\", alpha=\"0.10\", expect_size=\"37178368\"] \n  29 -> 30 [size =\"37178368\"]\n  30 [size=\"21583360\", alpha=\"0.01\", expect_size=\"8633344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36247040\", alpha=\"0.00\", expect_size=\"14498816\"] \n  1 -> 2 [size =\"14498816\"]\n  2 [size=\"92815360\", alpha=\"0.04\", expect_size=\"37126144\"] \n  2 -> 3 [size =\"37126144\"]\n  3 [size=\"65559040\", alpha=\"0.01\", expect_size=\"26223616\"] \n  3 -> 4 [size =\"26223616\"]\n  4 [size=\"86763520\", alpha=\"0.15\", expect_size=\"34705408\"] \n  4 -> 5 [size =\"34705408\"]\n  5 [size=\"69813760\", alpha=\"0.00\", expect_size=\"27925504\"] \n  5 -> 6 [size =\"27925504\"]\n  6 [size=\"127490560\", alpha=\"0.05\", expect_size=\"50996224\"] \n  6 -> 7 [size =\"50996224\"]\n  7 [size=\"50979840\", alpha=\"0.15\", expect_size=\"20391936\"] \n  7 -> 8 [size =\"20391936\"]\n  8 [size=\"60559360\", alpha=\"0.13\", expect_size=\"24223744\"] \n  8 -> 9 [size =\"24223744\"]\n  9 [size=\"87029760\", alpha=\"0.05\", expect_size=\"34811904\"] \n  9 -> 10 [size =\"34811904\"]\n  10 [size=\"41748480\", alpha=\"0.02\", expect_size=\"16699392\"] \n  10 -> 11 [size =\"16699392\"]\n  11 [size=\"55365120\", alpha=\"0.19\", expect_size=\"22146048\"] \n  11 -> 12 [size =\"22146048\"]\n  12 [size=\"55577600\", alpha=\"0.19\", expect_size=\"22231040\"] \n  12 -> 13 [size =\"22231040\"]\n  13 [size=\"80399360\", alpha=\"0.00\", expect_size=\"32159744\"] \n  13 -> 14 [size =\"32159744\"]\n  14 [size=\"87956480\", alpha=\"0.10\", expect_size=\"35182592\"] \n  14 -> 15 [size =\"35182592\"]\n  15 [size=\"57172480\", alpha=\"0.16\", expect_size=\"22868992\"] \n  15 -> 16 [size =\"22868992\"]\n  16 [size=\"59668480\", alpha=\"0.18\", expect_size=\"23867392\"] \n  16 -> 17 [size =\"23867392\"]\n  17 [size=\"87710720\", alpha=\"0.15\", expect_size=\"35084288\"] \n  17 -> 18 [size =\"35084288\"]\n  18 [size=\"58780160\", alpha=\"0.00\", expect_size=\"23512064\"] \n  18 -> 19 [size =\"23512064\"]\n  19 [size=\"17374720\", alpha=\"0.02\", expect_size=\"6949888\"] \n  19 -> 20 [size =\"6949888\"]\n  20 [size=\"44718080\", alpha=\"0.17\", expect_size=\"17887232\"] \n  20 -> 21 [size =\"17887232\"]\n  21 [size=\"54192640\", alpha=\"0.16\", expect_size=\"21677056\"] \n  21 -> 22 [size =\"21677056\"]\n  22 [size=\"48706560\", alpha=\"0.08\", expect_size=\"19482624\"] \n  22 -> 23 [size =\"19482624\"]\n  23 [size=\"45488640\", alpha=\"0.09\", expect_size=\"18195456\"] \n  23 -> 24 [size =\"18195456\"]\n  24 [size=\"47068160\", alpha=\"0.03\", expect_size=\"18827264\"] \n  24 -> 25 [size =\"18827264\"]\n  25 [size=\"105466880\", alpha=\"0.06\", expect_size=\"42186752\"] \n  25 -> 26 [size =\"42186752\"]\n  26 [size=\"82567680\", alpha=\"0.09\", expect_size=\"33027072\"] \n  26 -> 27 [size =\"33027072\"]\n  27 [size=\"71480320\", alpha=\"0.18\", expect_size=\"28592128\"] \n  27 -> 28 [size =\"28592128\"]\n  28 [size=\"43432960\", alpha=\"0.16\", expect_size=\"17373184\"] \n  28 -> 29 [size =\"17373184\"]\n  29 [size=\"44382720\", alpha=\"0.06\", expect_size=\"17753088\"] \n  29 -> 30 [size =\"17753088\"]\n  30 [size=\"54929920\", alpha=\"0.00\", expect_size=\"21971968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81912320\", alpha=\"0.01\", expect_size=\"32764928\"] \n  1 -> 24 [size =\"32764928\"]\n  1 -> 25 [size =\"32764928\"]\n  1 -> 26 [size =\"32764928\"]\n  1 -> 27 [size =\"32764928\"]\n  1 -> 28 [size =\"32764928\"]\n  1 -> 29 [size =\"32764928\"]\n  2 [size=\"37731840\", alpha=\"0.19\", expect_size=\"15092736\"] \n  2 -> 25 [size =\"15092736\"]\n  2 -> 26 [size =\"15092736\"]\n  2 -> 29 [size =\"15092736\"]\n  2 -> 30 [size =\"15092736\"]\n  3 [size=\"106117120\", alpha=\"0.04\", expect_size=\"42446848\"] \n  3 -> 23 [size =\"42446848\"]\n  3 -> 26 [size =\"42446848\"]\n  3 -> 28 [size =\"42446848\"]\n  3 -> 29 [size =\"42446848\"]\n  4 [size=\"34027520\", alpha=\"0.08\", expect_size=\"13611008\"] \n  4 -> 23 [size =\"13611008\"]\n  4 -> 26 [size =\"13611008\"]\n  5 [size=\"127383040\", alpha=\"0.01\", expect_size=\"50953216\"] \n  5 -> 23 [size =\"50953216\"]\n  5 -> 26 [size =\"50953216\"]\n  5 -> 27 [size =\"50953216\"]\n  5 -> 29 [size =\"50953216\"]\n  5 -> 30 [size =\"50953216\"]\n  6 [size=\"57425920\", alpha=\"0.07\", expect_size=\"22970368\"] \n  6 -> 26 [size =\"22970368\"]\n  6 -> 28 [size =\"22970368\"]\n  6 -> 29 [size =\"22970368\"]\n  6 -> 30 [size =\"22970368\"]\n  7 [size=\"98114560\", alpha=\"0.06\", expect_size=\"39245824\"] \n  7 -> 24 [size =\"39245824\"]\n  7 -> 25 [size =\"39245824\"]\n  7 -> 26 [size =\"39245824\"]\n  7 -> 28 [size =\"39245824\"]\n  7 -> 29 [size =\"39245824\"]\n  8 [size=\"126346240\", alpha=\"0.01\", expect_size=\"50538496\"] \n  8 -> 25 [size =\"50538496\"]\n  8 -> 25 [size =\"50538496\"]\n  8 -> 26 [size =\"50538496\"]\n  8 -> 29 [size =\"50538496\"]\n  8 -> 29 [size =\"50538496\"]\n  9 [size=\"75304960\", alpha=\"0.10\", expect_size=\"30121984\"] \n  9 -> 24 [size =\"30121984\"]\n  9 -> 25 [size =\"30121984\"]\n  9 -> 28 [size =\"30121984\"]\n  9 -> 29 [size =\"30121984\"]\n  10 [size=\"40537600\", alpha=\"0.05\", expect_size=\"16215040\"] \n  10 -> 24 [size =\"16215040\"]\n  10 -> 25 [size =\"16215040\"]\n  10 -> 28 [size =\"16215040\"]\n  10 -> 29 [size =\"16215040\"]\n  10 -> 30 [size =\"16215040\"]\n  11 [size=\"124267520\", alpha=\"0.01\", expect_size=\"49707008\"] \n  11 -> 24 [size =\"49707008\"]\n  11 -> 25 [size =\"49707008\"]\n  11 -> 26 [size =\"49707008\"]\n  11 -> 27 [size =\"49707008\"]\n  11 -> 28 [size =\"49707008\"]\n  11 -> 29 [size =\"49707008\"]\n  12 [size=\"14947840\", alpha=\"0.06\", expect_size=\"5979136\"] \n  12 -> 24 [size =\"5979136\"]\n  12 -> 25 [size =\"5979136\"]\n  12 -> 26 [size =\"5979136\"]\n  12 -> 29 [size =\"5979136\"]\n  12 -> 30 [size =\"5979136\"]\n  13 [size=\"125775360\", alpha=\"0.08\", expect_size=\"50310144\"] \n  13 -> 24 [size =\"50310144\"]\n  13 -> 25 [size =\"50310144\"]\n  13 -> 26 [size =\"50310144\"]\n  13 -> 27 [size =\"50310144\"]\n  13 -> 28 [size =\"50310144\"]\n  13 -> 29 [size =\"50310144\"]\n  14 [size=\"30082560\", alpha=\"0.00\", expect_size=\"12033024\"] \n  14 -> 24 [size =\"12033024\"]\n  14 -> 25 [size =\"12033024\"]\n  14 -> 26 [size =\"12033024\"]\n  14 -> 28 [size =\"12033024\"]\n  14 -> 29 [size =\"12033024\"]\n  14 -> 30 [size =\"12033024\"]\n  15 [size=\"74836480\", alpha=\"0.04\", expect_size=\"29934592\"] \n  15 -> 24 [size =\"29934592\"]\n  15 -> 25 [size =\"29934592\"]\n  15 -> 26 [size =\"29934592\"]\n  15 -> 28 [size =\"29934592\"]\n  15 -> 29 [size =\"29934592\"]\n  16 [size=\"83356160\", alpha=\"0.07\", expect_size=\"33342464\"] \n  16 -> 23 [size =\"33342464\"]\n  16 -> 26 [size =\"33342464\"]\n  16 -> 26 [size =\"33342464\"]\n  16 -> 29 [size =\"33342464\"]\n  16 -> 29 [size =\"33342464\"]\n  17 [size=\"122475520\", alpha=\"0.17\", expect_size=\"48990208\"] \n  17 -> 23 [size =\"48990208\"]\n  17 -> 25 [size =\"48990208\"]\n  17 -> 28 [size =\"48990208\"]\n  18 [size=\"38597120\", alpha=\"0.03\", expect_size=\"15438848\"] \n  18 -> 24 [size =\"15438848\"]\n  18 -> 25 [size =\"15438848\"]\n  18 -> 26 [size =\"15438848\"]\n  18 -> 28 [size =\"15438848\"]\n  18 -> 29 [size =\"15438848\"]\n  19 [size=\"41950720\", alpha=\"0.14\", expect_size=\"16780288\"] \n  19 -> 24 [size =\"16780288\"]\n  19 -> 25 [size =\"16780288\"]\n  19 -> 26 [size =\"16780288\"]\n  19 -> 27 [size =\"16780288\"]\n  19 -> 28 [size =\"16780288\"]\n  19 -> 29 [size =\"16780288\"]\n  20 [size=\"103070720\", alpha=\"0.02\", expect_size=\"41228288\"] \n  20 -> 23 [size =\"41228288\"]\n  20 -> 24 [size =\"41228288\"]\n  20 -> 25 [size =\"41228288\"]\n  20 -> 26 [size =\"41228288\"]\n  20 -> 27 [size =\"41228288\"]\n  20 -> 28 [size =\"41228288\"]\n  21 [size=\"15385600\", alpha=\"0.02\", expect_size=\"6154240\"] \n  21 -> 24 [size =\"6154240\"]\n  21 -> 24 [size =\"6154240\"]\n  21 -> 25 [size =\"6154240\"]\n  21 -> 26 [size =\"6154240\"]\n  21 -> 27 [size =\"6154240\"]\n  21 -> 28 [size =\"6154240\"]\n  21 -> 30 [size =\"6154240\"]\n  22 [size=\"20060160\", alpha=\"0.06\", expect_size=\"8024064\"] \n  22 -> 23 [size =\"8024064\"]\n  22 -> 25 [size =\"8024064\"]\n  22 -> 26 [size =\"8024064\"]\n  22 -> 27 [size =\"8024064\"]\n  22 -> 27 [size =\"8024064\"]\n  22 -> 28 [size =\"8024064\"]\n  22 -> 30 [size =\"8024064\"]\n  23 [size=\"53009920\", alpha=\"0.06\", expect_size=\"21203968\"] \n  24 [size=\"98467840\", alpha=\"0.10\", expect_size=\"39387136\"] \n  25 [size=\"99911680\", alpha=\"0.13\", expect_size=\"39964672\"] \n  26 [size=\"125306880\", alpha=\"0.03\", expect_size=\"50122752\"] \n  27 [size=\"48819200\", alpha=\"0.08\", expect_size=\"19527680\"] \n  28 [size=\"30266880\", alpha=\"0.12\", expect_size=\"12106752\"] \n  29 [size=\"45555200\", alpha=\"0.06\", expect_size=\"18222080\"] \n  30 [size=\"125583360\", alpha=\"0.06\", expect_size=\"50233344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75443200\", alpha=\"0.17\", expect_size=\"30177280\"] \n  1 -> 2 [size =\"30177280\"]\n  1 -> 3 [size =\"30177280\"]\n  2 [size=\"25658880\", alpha=\"0.14\", expect_size=\"10263552\"] \n  2 -> 4 [size =\"10263552\"]\n  2 -> 5 [size =\"10263552\"]\n  3 [size=\"43105280\", alpha=\"0.19\", expect_size=\"17242112\"] \n  3 -> 4 [size =\"17242112\"]\n  4 [size=\"125145600\", alpha=\"0.08\", expect_size=\"50058240\"] \n  4 -> 6 [size =\"50058240\"]\n  5 [size=\"32245760\", alpha=\"0.18\", expect_size=\"12898304\"] \n  5 -> 6 [size =\"12898304\"]\n  5 -> 7 [size =\"12898304\"]\n  6 [size=\"113774080\", alpha=\"0.07\", expect_size=\"45509632\"] \n  6 -> 8 [size =\"45509632\"]\n  7 [size=\"72911360\", alpha=\"0.08\", expect_size=\"29164544\"] \n  7 -> 8 [size =\"29164544\"]\n  8 [size=\"61519360\", alpha=\"0.02\", expect_size=\"24607744\"] \n  8 -> 9 [size =\"24607744\"]\n  8 -> 10 [size =\"24607744\"]\n  9 [size=\"62233600\", alpha=\"0.02\", expect_size=\"24893440\"] \n  9 -> 11 [size =\"24893440\"]\n  10 [size=\"57285120\", alpha=\"0.01\", expect_size=\"22914048\"] \n  11 [size=\"105856000\", alpha=\"0.04\", expect_size=\"42342400\"] \n  11 -> 12 [size =\"42342400\"]\n  12 [size=\"91059200\", alpha=\"0.08\", expect_size=\"36423680\"] \n  12 -> 13 [size =\"36423680\"]\n  12 -> 14 [size =\"36423680\"]\n  13 [size=\"57256960\", alpha=\"0.18\", expect_size=\"22902784\"] \n  13 -> 15 [size =\"22902784\"]\n  13 -> 16 [size =\"22902784\"]\n  14 [size=\"52602880\", alpha=\"0.03\", expect_size=\"21041152\"] \n  14 -> 15 [size =\"21041152\"]\n  15 [size=\"97059840\", alpha=\"0.16\", expect_size=\"38823936\"] \n  15 -> 17 [size =\"38823936\"]\n  15 -> 18 [size =\"38823936\"]\n  16 [size=\"87183360\", alpha=\"0.08\", expect_size=\"34873344\"] \n  16 -> 18 [size =\"34873344\"]\n  17 [size=\"129853440\", alpha=\"0.09\", expect_size=\"51941376\"] \n  17 -> 19 [size =\"51941376\"]\n  18 [size=\"58616320\", alpha=\"0.06\", expect_size=\"23446528\"] \n  19 [size=\"71534080\", alpha=\"0.02\", expect_size=\"28613632\"] \n  19 -> 20 [size =\"28613632\"]\n  19 -> 21 [size =\"28613632\"]\n  20 [size=\"83225600\", alpha=\"0.10\", expect_size=\"33290240\"] \n  20 -> 23 [size =\"33290240\"]\n  21 [size=\"88215040\", alpha=\"0.09\", expect_size=\"35286016\"] \n  21 -> 22 [size =\"35286016\"]\n  22 [size=\"112599040\", alpha=\"0.09\", expect_size=\"45039616\"] \n  22 -> 25 [size =\"45039616\"]\n  23 [size=\"43215360\", alpha=\"0.15\", expect_size=\"17286144\"] \n  23 -> 24 [size =\"17286144\"]\n  23 -> 25 [size =\"17286144\"]\n  24 [size=\"32732160\", alpha=\"0.00\", expect_size=\"13092864\"] \n  24 -> 26 [size =\"13092864\"]\n  25 [size=\"47892480\", alpha=\"0.08\", expect_size=\"19156992\"] \n  25 -> 26 [size =\"19156992\"]\n  25 -> 27 [size =\"19156992\"]\n  26 [size=\"24698880\", alpha=\"0.13\", expect_size=\"9879552\"] \n  26 -> 29 [size =\"9879552\"]\n  27 [size=\"72348160\", alpha=\"0.09\", expect_size=\"28939264\"] \n  27 -> 28 [size =\"28939264\"]\n  28 [size=\"127680000\", alpha=\"0.12\", expect_size=\"51072000\"] \n  28 -> 30 [size =\"51072000\"]\n  29 [size=\"46632960\", alpha=\"0.04\", expect_size=\"18653184\"] \n  30 [size=\"57290240\", alpha=\"0.03\", expect_size=\"22916096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48965632\", alpha=\"0.08\", expect_size=\"24482816\"] \n  1 -> 2 [size =\"24482816\"]\n  2 [size=\"29954048\", alpha=\"0.04\", expect_size=\"14977024\"] \n  2 -> 3 [size =\"14977024\"]\n  3 [size=\"86360064\", alpha=\"0.17\", expect_size=\"43180032\"] \n  3 -> 4 [size =\"43180032\"]\n  4 [size=\"87998464\", alpha=\"0.11\", expect_size=\"43999232\"] \n  4 -> 5 [size =\"43999232\"]\n  5 [size=\"25090048\", alpha=\"0.13\", expect_size=\"12545024\"] \n  5 -> 6 [size =\"12545024\"]\n  6 [size=\"19947520\", alpha=\"0.10\", expect_size=\"9973760\"] \n  6 -> 7 [size =\"9973760\"]\n  7 [size=\"61980672\", alpha=\"0.20\", expect_size=\"30990336\"] \n  7 -> 8 [size =\"30990336\"]\n  8 [size=\"17203200\", alpha=\"0.02\", expect_size=\"8601600\"] \n  8 -> 9 [size =\"8601600\"]\n  9 [size=\"60925952\", alpha=\"0.01\", expect_size=\"30462976\"] \n  9 -> 10 [size =\"30462976\"]\n  10 [size=\"97667072\", alpha=\"0.20\", expect_size=\"48833536\"] \n  10 -> 11 [size =\"48833536\"]\n  11 [size=\"51980288\", alpha=\"0.12\", expect_size=\"25990144\"] \n  11 -> 12 [size =\"25990144\"]\n  12 [size=\"88217600\", alpha=\"0.15\", expect_size=\"44108800\"] \n  12 -> 13 [size =\"44108800\"]\n  13 [size=\"12779520\", alpha=\"0.02\", expect_size=\"6389760\"] \n  13 -> 14 [size =\"6389760\"]\n  14 [size=\"91009024\", alpha=\"0.08\", expect_size=\"45504512\"] \n  14 -> 15 [size =\"45504512\"]\n  15 [size=\"50053120\", alpha=\"0.09\", expect_size=\"25026560\"] \n  15 -> 16 [size =\"25026560\"]\n  16 [size=\"18436096\", alpha=\"0.11\", expect_size=\"9218048\"] \n  16 -> 17 [size =\"9218048\"]\n  17 [size=\"63592448\", alpha=\"0.02\", expect_size=\"31796224\"] \n  17 -> 18 [size =\"31796224\"]\n  18 [size=\"61253632\", alpha=\"0.07\", expect_size=\"30626816\"] \n  18 -> 19 [size =\"30626816\"]\n  19 [size=\"70361088\", alpha=\"0.06\", expect_size=\"35180544\"] \n  19 -> 20 [size =\"35180544\"]\n  20 [size=\"76691456\", alpha=\"0.02\", expect_size=\"38345728\"] \n  20 -> 21 [size =\"38345728\"]\n  21 [size=\"75249664\", alpha=\"0.07\", expect_size=\"37624832\"] \n  21 -> 22 [size =\"37624832\"]\n  22 [size=\"35571712\", alpha=\"0.16\", expect_size=\"17785856\"] \n  22 -> 23 [size =\"17785856\"]\n  23 [size=\"11384832\", alpha=\"0.01\", expect_size=\"5692416\"] \n  23 -> 24 [size =\"5692416\"]\n  24 [size=\"20678656\", alpha=\"0.02\", expect_size=\"10339328\"] \n  24 -> 25 [size =\"10339328\"]\n  25 [size=\"58998784\", alpha=\"0.06\", expect_size=\"29499392\"] \n  25 -> 26 [size =\"29499392\"]\n  26 [size=\"101949440\", alpha=\"0.13\", expect_size=\"50974720\"] \n  26 -> 27 [size =\"50974720\"]\n  27 [size=\"60119040\", alpha=\"0.10\", expect_size=\"30059520\"] \n  27 -> 28 [size =\"30059520\"]\n  28 [size=\"67725312\", alpha=\"0.09\", expect_size=\"33862656\"] \n  28 -> 29 [size =\"33862656\"]\n  29 [size=\"98676736\", alpha=\"0.18\", expect_size=\"49338368\"] \n  29 -> 30 [size =\"49338368\"]\n  30 [size=\"32509952\", alpha=\"0.06\", expect_size=\"16254976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74983424\", alpha=\"0.08\", expect_size=\"37491712\"] \n  1 -> 12 [size =\"37491712\"]\n  1 -> 13 [size =\"37491712\"]\n  2 [size=\"78116864\", alpha=\"0.12\", expect_size=\"39058432\"] \n  2 -> 14 [size =\"39058432\"]\n  2 -> 18 [size =\"39058432\"]\n  3 [size=\"81620992\", alpha=\"0.01\", expect_size=\"40810496\"] \n  3 -> 13 [size =\"40810496\"]\n  3 -> 14 [size =\"40810496\"]\n  3 -> 16 [size =\"40810496\"]\n  3 -> 18 [size =\"40810496\"]\n  4 [size=\"76500992\", alpha=\"0.19\", expect_size=\"38250496\"] \n  4 -> 13 [size =\"38250496\"]\n  4 -> 14 [size =\"38250496\"]\n  4 -> 16 [size =\"38250496\"]\n  5 [size=\"73986048\", alpha=\"0.16\", expect_size=\"36993024\"] \n  5 -> 12 [size =\"36993024\"]\n  5 -> 14 [size =\"36993024\"]\n  5 -> 17 [size =\"36993024\"]\n  5 -> 18 [size =\"36993024\"]\n  6 [size=\"40247296\", alpha=\"0.06\", expect_size=\"20123648\"] \n  7 [size=\"12412928\", alpha=\"0.03\", expect_size=\"6206464\"] \n  7 -> 11 [size =\"6206464\"]\n  7 -> 15 [size =\"6206464\"]\n  7 -> 18 [size =\"6206464\"]\n  8 [size=\"97390592\", alpha=\"0.15\", expect_size=\"48695296\"] \n  8 -> 11 [size =\"48695296\"]\n  8 -> 14 [size =\"48695296\"]\n  9 [size=\"19179520\", alpha=\"0.13\", expect_size=\"9589760\"] \n  9 -> 11 [size =\"9589760\"]\n  9 -> 13 [size =\"9589760\"]\n  9 -> 17 [size =\"9589760\"]\n  10 [size=\"103272448\", alpha=\"0.11\", expect_size=\"51636224\"] \n  10 -> 12 [size =\"51636224\"]\n  10 -> 13 [size =\"51636224\"]\n  10 -> 15 [size =\"51636224\"]\n  10 -> 16 [size =\"51636224\"]\n  10 -> 18 [size =\"51636224\"]\n  10 -> 19 [size =\"51636224\"]\n  11 [size=\"75532288\", alpha=\"0.11\", expect_size=\"37766144\"] \n  11 -> 20 [size =\"37766144\"]\n  11 -> 25 [size =\"37766144\"]\n  12 [size=\"19714048\", alpha=\"0.04\", expect_size=\"9857024\"] \n  12 -> 21 [size =\"9857024\"]\n  12 -> 23 [size =\"9857024\"]\n  13 [size=\"77950976\", alpha=\"0.17\", expect_size=\"38975488\"] \n  13 -> 20 [size =\"38975488\"]\n  13 -> 24 [size =\"38975488\"]\n  13 -> 27 [size =\"38975488\"]\n  14 [size=\"81553408\", alpha=\"0.15\", expect_size=\"40776704\"] \n  14 -> 25 [size =\"40776704\"]\n  14 -> 26 [size =\"40776704\"]\n  14 -> 27 [size =\"40776704\"]\n  15 [size=\"78233600\", alpha=\"0.05\", expect_size=\"39116800\"] \n  15 -> 25 [size =\"39116800\"]\n  16 [size=\"59410432\", alpha=\"0.08\", expect_size=\"29705216\"] \n  16 -> 22 [size =\"29705216\"]\n  16 -> 25 [size =\"29705216\"]\n  16 -> 28 [size =\"29705216\"]\n  17 [size=\"89845760\", alpha=\"0.02\", expect_size=\"44922880\"] \n  17 -> 21 [size =\"44922880\"]\n  17 -> 23 [size =\"44922880\"]\n  17 -> 24 [size =\"44922880\"]\n  17 -> 25 [size =\"44922880\"]\n  18 [size=\"11687936\", alpha=\"0.08\", expect_size=\"5843968\"] \n  18 -> 23 [size =\"5843968\"]\n  18 -> 26 [size =\"5843968\"]\n  19 [size=\"80660480\", alpha=\"0.11\", expect_size=\"40330240\"] \n  19 -> 20 [size =\"40330240\"]\n  19 -> 29 [size =\"40330240\"]\n  20 [size=\"45309952\", alpha=\"0.18\", expect_size=\"22654976\"] \n  21 [size=\"95059968\", alpha=\"0.18\", expect_size=\"47529984\"] \n  22 [size=\"53938176\", alpha=\"0.13\", expect_size=\"26969088\"] \n  23 [size=\"71878656\", alpha=\"0.02\", expect_size=\"35939328\"] \n  24 [size=\"57210880\", alpha=\"0.06\", expect_size=\"28605440\"] \n  25 [size=\"35540992\", alpha=\"0.03\", expect_size=\"17770496\"] \n  26 [size=\"58296320\", alpha=\"0.07\", expect_size=\"29148160\"] \n  27 [size=\"96782336\", alpha=\"0.11\", expect_size=\"48391168\"] \n  28 [size=\"12736512\", alpha=\"0.13\", expect_size=\"6368256\"] \n  28 -> 30 [size =\"6368256\"]\n  29 [size=\"51787776\", alpha=\"0.17\", expect_size=\"25893888\"] \n  30 [size=\"103899136\", alpha=\"0.01\", expect_size=\"51949568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62988288\", alpha=\"0.03\", expect_size=\"31494144\"] \n  1 -> 11 [size =\"31494144\"]\n  1 -> 12 [size =\"31494144\"]\n  1 -> 13 [size =\"31494144\"]\n  1 -> 19 [size =\"31494144\"]\n  2 [size=\"87169024\", alpha=\"0.06\", expect_size=\"43584512\"] \n  2 -> 11 [size =\"43584512\"]\n  2 -> 12 [size =\"43584512\"]\n  2 -> 14 [size =\"43584512\"]\n  2 -> 16 [size =\"43584512\"]\n  2 -> 18 [size =\"43584512\"]\n  2 -> 19 [size =\"43584512\"]\n  3 [size=\"36894720\", alpha=\"0.07\", expect_size=\"18447360\"] \n  3 -> 15 [size =\"18447360\"]\n  3 -> 19 [size =\"18447360\"]\n  4 [size=\"39913472\", alpha=\"0.08\", expect_size=\"19956736\"] \n  4 -> 11 [size =\"19956736\"]\n  4 -> 15 [size =\"19956736\"]\n  4 -> 17 [size =\"19956736\"]\n  4 -> 18 [size =\"19956736\"]\n  5 [size=\"62091264\", alpha=\"0.14\", expect_size=\"31045632\"] \n  5 -> 11 [size =\"31045632\"]\n  5 -> 15 [size =\"31045632\"]\n  5 -> 20 [size =\"31045632\"]\n  6 [size=\"72044544\", alpha=\"0.09\", expect_size=\"36022272\"] \n  6 -> 11 [size =\"36022272\"]\n  6 -> 17 [size =\"36022272\"]\n  7 [size=\"52236288\", alpha=\"0.03\", expect_size=\"26118144\"] \n  7 -> 12 [size =\"26118144\"]\n  7 -> 15 [size =\"26118144\"]\n  7 -> 18 [size =\"26118144\"]\n  8 [size=\"95391744\", alpha=\"0.03\", expect_size=\"47695872\"] \n  8 -> 12 [size =\"47695872\"]\n  8 -> 15 [size =\"47695872\"]\n  8 -> 17 [size =\"47695872\"]\n  8 -> 20 [size =\"47695872\"]\n  9 [size=\"86179840\", alpha=\"0.08\", expect_size=\"43089920\"] \n  9 -> 13 [size =\"43089920\"]\n  9 -> 16 [size =\"43089920\"]\n  10 [size=\"49709056\", alpha=\"0.08\", expect_size=\"24854528\"] \n  10 -> 14 [size =\"24854528\"]\n  11 [size=\"35862528\", alpha=\"0.18\", expect_size=\"17931264\"] \n  11 -> 25 [size =\"17931264\"]\n  11 -> 27 [size =\"17931264\"]\n  12 [size=\"48986112\", alpha=\"0.03\", expect_size=\"24493056\"] \n  12 -> 21 [size =\"24493056\"]\n  12 -> 23 [size =\"24493056\"]\n  13 [size=\"76996608\", alpha=\"0.03\", expect_size=\"38498304\"] \n  13 -> 21 [size =\"38498304\"]\n  13 -> 22 [size =\"38498304\"]\n  13 -> 25 [size =\"38498304\"]\n  14 [size=\"15964160\", alpha=\"0.11\", expect_size=\"7982080\"] \n  14 -> 22 [size =\"7982080\"]\n  14 -> 24 [size =\"7982080\"]\n  14 -> 27 [size =\"7982080\"]\n  15 [size=\"53633024\", alpha=\"0.01\", expect_size=\"26816512\"] \n  15 -> 24 [size =\"26816512\"]\n  15 -> 24 [size =\"26816512\"]\n  15 -> 27 [size =\"26816512\"]\n  16 [size=\"25806848\", alpha=\"0.08\", expect_size=\"12903424\"] \n  16 -> 21 [size =\"12903424\"]\n  17 [size=\"68530176\", alpha=\"0.07\", expect_size=\"34265088\"] \n  17 -> 23 [size =\"34265088\"]\n  17 -> 25 [size =\"34265088\"]\n  18 [size=\"83341312\", alpha=\"0.12\", expect_size=\"41670656\"] \n  18 -> 21 [size =\"41670656\"]\n  18 -> 23 [size =\"41670656\"]\n  18 -> 26 [size =\"41670656\"]\n  19 [size=\"97748992\", alpha=\"0.18\", expect_size=\"48874496\"] \n  19 -> 23 [size =\"48874496\"]\n  19 -> 25 [size =\"48874496\"]\n  19 -> 26 [size =\"48874496\"]\n  20 [size=\"40546304\", alpha=\"0.14\", expect_size=\"20273152\"] \n  20 -> 23 [size =\"20273152\"]\n  20 -> 24 [size =\"20273152\"]\n  20 -> 27 [size =\"20273152\"]\n  21 [size=\"78985216\", alpha=\"0.01\", expect_size=\"39492608\"] \n  22 [size=\"68931584\", alpha=\"0.05\", expect_size=\"34465792\"] \n  22 -> 28 [size =\"34465792\"]\n  22 -> 29 [size =\"34465792\"]\n  23 [size=\"82038784\", alpha=\"0.14\", expect_size=\"41019392\"] \n  23 -> 28 [size =\"41019392\"]\n  23 -> 29 [size =\"41019392\"]\n  24 [size=\"94031872\", alpha=\"0.10\", expect_size=\"47015936\"] \n  24 -> 28 [size =\"47015936\"]\n  24 -> 30 [size =\"47015936\"]\n  25 [size=\"51331072\", alpha=\"0.16\", expect_size=\"25665536\"] \n  25 -> 28 [size =\"25665536\"]\n  26 [size=\"56995840\", alpha=\"0.16\", expect_size=\"28497920\"] \n  27 [size=\"93491200\", alpha=\"0.04\", expect_size=\"46745600\"] \n  27 -> 30 [size =\"46745600\"]\n  28 [size=\"31985664\", alpha=\"0.10\", expect_size=\"15992832\"] \n  29 [size=\"87922688\", alpha=\"0.13\", expect_size=\"43961344\"] \n  30 [size=\"76851200\", alpha=\"0.03\", expect_size=\"38425600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98250240\", alpha=\"0.19\", expect_size=\"39300096\"] \n  1 -> 2 [size =\"39300096\"]\n  2 [size=\"88478720\", alpha=\"0.17\", expect_size=\"35391488\"] \n  2 -> 3 [size =\"35391488\"]\n  3 [size=\"105420800\", alpha=\"0.00\", expect_size=\"42168320\"] \n  3 -> 4 [size =\"42168320\"]\n  4 [size=\"64842240\", alpha=\"0.07\", expect_size=\"25936896\"] \n  4 -> 5 [size =\"25936896\"]\n  5 [size=\"119930880\", alpha=\"0.16\", expect_size=\"47972352\"] \n  5 -> 6 [size =\"47972352\"]\n  6 [size=\"47641600\", alpha=\"0.07\", expect_size=\"19056640\"] \n  6 -> 7 [size =\"19056640\"]\n  7 [size=\"82547200\", alpha=\"0.10\", expect_size=\"33018880\"] \n  7 -> 8 [size =\"33018880\"]\n  8 [size=\"27438080\", alpha=\"0.01\", expect_size=\"10975232\"] \n  8 -> 9 [size =\"10975232\"]\n  9 [size=\"93749760\", alpha=\"0.07\", expect_size=\"37499904\"] \n  9 -> 10 [size =\"37499904\"]\n  10 [size=\"18124800\", alpha=\"0.19\", expect_size=\"7249920\"] \n  10 -> 11 [size =\"7249920\"]\n  11 [size=\"43397120\", alpha=\"0.04\", expect_size=\"17358848\"] \n  11 -> 12 [size =\"17358848\"]\n  12 [size=\"40345600\", alpha=\"0.15\", expect_size=\"16138240\"] \n  12 -> 13 [size =\"16138240\"]\n  13 [size=\"20206080\", alpha=\"0.01\", expect_size=\"8082432\"] \n  13 -> 14 [size =\"8082432\"]\n  14 [size=\"22929920\", alpha=\"0.07\", expect_size=\"9171968\"] \n  14 -> 15 [size =\"9171968\"]\n  15 [size=\"61486080\", alpha=\"0.05\", expect_size=\"24594432\"] \n  15 -> 16 [size =\"24594432\"]\n  16 [size=\"36564480\", alpha=\"0.18\", expect_size=\"14625792\"] \n  16 -> 17 [size =\"14625792\"]\n  17 [size=\"80698880\", alpha=\"0.06\", expect_size=\"32279552\"] \n  17 -> 18 [size =\"32279552\"]\n  18 [size=\"22259200\", alpha=\"0.02\", expect_size=\"8903680\"] \n  18 -> 19 [size =\"8903680\"]\n  19 [size=\"27760640\", alpha=\"0.04\", expect_size=\"11104256\"] \n  19 -> 20 [size =\"11104256\"]\n  20 [size=\"71846400\", alpha=\"0.11\", expect_size=\"28738560\"] \n  20 -> 21 [size =\"28738560\"]\n  21 [size=\"64847360\", alpha=\"0.12\", expect_size=\"25938944\"] \n  21 -> 22 [size =\"25938944\"]\n  22 [size=\"87677440\", alpha=\"0.05\", expect_size=\"35070976\"] \n  22 -> 23 [size =\"35070976\"]\n  23 [size=\"58956800\", alpha=\"0.15\", expect_size=\"23582720\"] \n  23 -> 24 [size =\"23582720\"]\n  24 [size=\"63372800\", alpha=\"0.13\", expect_size=\"25349120\"] \n  24 -> 25 [size =\"25349120\"]\n  25 [size=\"106306560\", alpha=\"0.10\", expect_size=\"42522624\"] \n  25 -> 26 [size =\"42522624\"]\n  26 [size=\"16803840\", alpha=\"0.12\", expect_size=\"6721536\"] \n  26 -> 27 [size =\"6721536\"]\n  27 [size=\"121656320\", alpha=\"0.06\", expect_size=\"48662528\"] \n  27 -> 28 [size =\"48662528\"]\n  28 [size=\"40476160\", alpha=\"0.02\", expect_size=\"16190464\"] \n  28 -> 29 [size =\"16190464\"]\n  29 [size=\"50954240\", alpha=\"0.12\", expect_size=\"20381696\"] \n  29 -> 30 [size =\"20381696\"]\n  30 [size=\"74288640\", alpha=\"0.03\", expect_size=\"29715456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124298240\", alpha=\"0.06\", expect_size=\"49719296\"] \n  1 -> 2 [size =\"49719296\"]\n  2 [size=\"105098240\", alpha=\"0.02\", expect_size=\"42039296\"] \n  2 -> 3 [size =\"42039296\"]\n  3 [size=\"101015040\", alpha=\"0.19\", expect_size=\"40406016\"] \n  3 -> 4 [size =\"40406016\"]\n  3 -> 5 [size =\"40406016\"]\n  4 [size=\"30415360\", alpha=\"0.19\", expect_size=\"12166144\"] \n  4 -> 6 [size =\"12166144\"]\n  5 [size=\"24396800\", alpha=\"0.01\", expect_size=\"9758720\"] \n  5 -> 6 [size =\"9758720\"]\n  6 [size=\"17113600\", alpha=\"0.06\", expect_size=\"6845440\"] \n  6 -> 7 [size =\"6845440\"]\n  7 [size=\"101209600\", alpha=\"0.02\", expect_size=\"40483840\"] \n  7 -> 8 [size =\"40483840\"]\n  7 -> 9 [size =\"40483840\"]\n  8 [size=\"24645120\", alpha=\"0.09\", expect_size=\"9858048\"] \n  8 -> 10 [size =\"9858048\"]\n  9 [size=\"105620480\", alpha=\"0.16\", expect_size=\"42248192\"] \n  9 -> 10 [size =\"42248192\"]\n  10 [size=\"65292800\", alpha=\"0.19\", expect_size=\"26117120\"] \n  10 -> 11 [size =\"26117120\"]\n  11 [size=\"60341760\", alpha=\"0.05\", expect_size=\"24136704\"] \n  11 -> 12 [size =\"24136704\"]\n  11 -> 13 [size =\"24136704\"]\n  12 [size=\"94039040\", alpha=\"0.10\", expect_size=\"37615616\"] \n  12 -> 14 [size =\"37615616\"]\n  13 [size=\"106624000\", alpha=\"0.17\", expect_size=\"42649600\"] \n  14 [size=\"100180480\", alpha=\"0.05\", expect_size=\"40072192\"] \n  14 -> 15 [size =\"40072192\"]\n  14 -> 16 [size =\"40072192\"]\n  15 [size=\"96140800\", alpha=\"0.18\", expect_size=\"38456320\"] \n  15 -> 17 [size =\"38456320\"]\n  16 [size=\"101862400\", alpha=\"0.16\", expect_size=\"40744960\"] \n  16 -> 17 [size =\"40744960\"]\n  17 [size=\"20748800\", alpha=\"0.01\", expect_size=\"8299520\"] \n  17 -> 18 [size =\"8299520\"]\n  17 -> 19 [size =\"8299520\"]\n  18 [size=\"32481280\", alpha=\"0.17\", expect_size=\"12992512\"] \n  18 -> 20 [size =\"12992512\"]\n  19 [size=\"87375360\", alpha=\"0.12\", expect_size=\"34950144\"] \n  19 -> 20 [size =\"34950144\"]\n  20 [size=\"61941760\", alpha=\"0.16\", expect_size=\"24776704\"] \n  20 -> 21 [size =\"24776704\"]\n  20 -> 22 [size =\"24776704\"]\n  21 [size=\"56693760\", alpha=\"0.19\", expect_size=\"22677504\"] \n  21 -> 23 [size =\"22677504\"]\n  22 [size=\"86440960\", alpha=\"0.17\", expect_size=\"34576384\"] \n  22 -> 23 [size =\"34576384\"]\n  22 -> 24 [size =\"34576384\"]\n  23 [size=\"29992960\", alpha=\"0.10\", expect_size=\"11997184\"] \n  23 -> 25 [size =\"11997184\"]\n  24 [size=\"130565120\", alpha=\"0.06\", expect_size=\"52226048\"] \n  24 -> 25 [size =\"52226048\"]\n  25 [size=\"44183040\", alpha=\"0.04\", expect_size=\"17673216\"] \n  25 -> 26 [size =\"17673216\"]\n  25 -> 27 [size =\"17673216\"]\n  26 [size=\"32837120\", alpha=\"0.03\", expect_size=\"13134848\"] \n  26 -> 28 [size =\"13134848\"]\n  27 [size=\"129710080\", alpha=\"0.17\", expect_size=\"51884032\"] \n  27 -> 28 [size =\"51884032\"]\n  28 [size=\"18616320\", alpha=\"0.12\", expect_size=\"7446528\"] \n  28 -> 29 [size =\"7446528\"]\n  29 [size=\"119749120\", alpha=\"0.04\", expect_size=\"47899648\"] \n  29 -> 30 [size =\"47899648\"]\n  30 [size=\"72693760\", alpha=\"0.04\", expect_size=\"29077504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124884480\", alpha=\"0.02\", expect_size=\"49953792\"] \n  1 -> 5 [size =\"49953792\"]\n  1 -> 7 [size =\"49953792\"]\n  2 [size=\"24291840\", alpha=\"0.14\", expect_size=\"9716736\"] \n  2 -> 5 [size =\"9716736\"]\n  3 [size=\"17502720\", alpha=\"0.04\", expect_size=\"7001088\"] \n  3 -> 6 [size =\"7001088\"]\n  4 [size=\"85043200\", alpha=\"0.13\", expect_size=\"34017280\"] \n  4 -> 5 [size =\"34017280\"]\n  4 -> 6 [size =\"34017280\"]\n  4 -> 7 [size =\"34017280\"]\n  4 -> 8 [size =\"34017280\"]\n  5 [size=\"82265600\", alpha=\"0.20\", expect_size=\"32906240\"] \n  5 -> 10 [size =\"32906240\"]\n  6 [size=\"29729280\", alpha=\"0.07\", expect_size=\"11891712\"] \n  6 -> 9 [size =\"11891712\"]\n  6 -> 11 [size =\"11891712\"]\n  6 -> 12 [size =\"11891712\"]\n  6 -> 13 [size =\"11891712\"]\n  7 [size=\"107855360\", alpha=\"0.11\", expect_size=\"43142144\"] \n  7 -> 11 [size =\"43142144\"]\n  7 -> 12 [size =\"43142144\"]\n  7 -> 13 [size =\"43142144\"]\n  8 [size=\"114905600\", alpha=\"0.11\", expect_size=\"45962240\"] \n  8 -> 9 [size =\"45962240\"]\n  8 -> 10 [size =\"45962240\"]\n  9 [size=\"49228800\", alpha=\"0.05\", expect_size=\"19691520\"] \n  9 -> 15 [size =\"19691520\"]\n  10 [size=\"124090880\", alpha=\"0.15\", expect_size=\"49636352\"] \n  10 -> 18 [size =\"49636352\"]\n  11 [size=\"93852160\", alpha=\"0.16\", expect_size=\"37540864\"] \n  11 -> 16 [size =\"37540864\"]\n  12 [size=\"102968320\", alpha=\"0.04\", expect_size=\"41187328\"] \n  12 -> 14 [size =\"41187328\"]\n  13 [size=\"65267200\", alpha=\"0.11\", expect_size=\"26106880\"] \n  13 -> 14 [size =\"26106880\"]\n  13 -> 15 [size =\"26106880\"]\n  13 -> 16 [size =\"26106880\"]\n  13 -> 17 [size =\"26106880\"]\n  13 -> 18 [size =\"26106880\"]\n  14 [size=\"87649280\", alpha=\"0.05\", expect_size=\"35059712\"] \n  14 -> 21 [size =\"35059712\"]\n  14 -> 23 [size =\"35059712\"]\n  14 -> 23 [size =\"35059712\"]\n  15 [size=\"48000000\", alpha=\"0.17\", expect_size=\"19200000\"] \n  15 -> 19 [size =\"19200000\"]\n  15 -> 21 [size =\"19200000\"]\n  16 [size=\"47733760\", alpha=\"0.06\", expect_size=\"19093504\"] \n  16 -> 21 [size =\"19093504\"]\n  16 -> 22 [size =\"19093504\"]\n  17 [size=\"86732800\", alpha=\"0.14\", expect_size=\"34693120\"] \n  17 -> 20 [size =\"34693120\"]\n  17 -> 22 [size =\"34693120\"]\n  18 [size=\"30914560\", alpha=\"0.06\", expect_size=\"12365824\"] \n  18 -> 19 [size =\"12365824\"]\n  18 -> 22 [size =\"12365824\"]\n  18 -> 23 [size =\"12365824\"]\n  19 [size=\"97175040\", alpha=\"0.02\", expect_size=\"38870016\"] \n  19 -> 24 [size =\"38870016\"]\n  20 [size=\"125585920\", alpha=\"0.09\", expect_size=\"50234368\"] \n  21 [size=\"94917120\", alpha=\"0.15\", expect_size=\"37966848\"] \n  21 -> 24 [size =\"37966848\"]\n  21 -> 26 [size =\"37966848\"]\n  21 -> 27 [size =\"37966848\"]\n  22 [size=\"70246400\", alpha=\"0.03\", expect_size=\"28098560\"] \n  22 -> 25 [size =\"28098560\"]\n  22 -> 26 [size =\"28098560\"]\n  22 -> 27 [size =\"28098560\"]\n  23 [size=\"94056960\", alpha=\"0.11\", expect_size=\"37622784\"] \n  23 -> 26 [size =\"37622784\"]\n  24 [size=\"43176960\", alpha=\"0.12\", expect_size=\"17270784\"] \n  24 -> 29 [size =\"17270784\"]\n  24 -> 30 [size =\"17270784\"]\n  25 [size=\"71951360\", alpha=\"0.05\", expect_size=\"28780544\"] \n  25 -> 28 [size =\"28780544\"]\n  26 [size=\"53990400\", alpha=\"0.00\", expect_size=\"21596160\"] \n  26 -> 28 [size =\"21596160\"]\n  26 -> 29 [size =\"21596160\"]\n  27 [size=\"87831040\", alpha=\"0.12\", expect_size=\"35132416\"] \n  27 -> 29 [size =\"35132416\"]\n  28 [size=\"52843520\", alpha=\"0.00\", expect_size=\"21137408\"] \n  29 [size=\"88394240\", alpha=\"0.15\", expect_size=\"35357696\"] \n  30 [size=\"99141120\", alpha=\"0.09\", expect_size=\"39656448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36939093\", alpha=\"0.02\", expect_size=\"11081728\"] \n  1 -> 26 [size =\"11081728\"]\n  1 -> 27 [size =\"11081728\"]\n  2 [size=\"99607893\", alpha=\"0.17\", expect_size=\"29882368\"] \n  2 -> 24 [size =\"29882368\"]\n  2 -> 25 [size =\"29882368\"]\n  3 [size=\"154692267\", alpha=\"0.17\", expect_size=\"46407680\"] \n  3 -> 27 [size =\"46407680\"]\n  4 [size=\"34461013\", alpha=\"0.03\", expect_size=\"10338304\"] \n  4 -> 25 [size =\"10338304\"]\n  4 -> 28 [size =\"10338304\"]\n  4 -> 29 [size =\"10338304\"]\n  5 [size=\"71871147\", alpha=\"0.06\", expect_size=\"21561344\"] \n  5 -> 29 [size =\"21561344\"]\n  6 [size=\"71543467\", alpha=\"0.15\", expect_size=\"21463040\"] \n  6 -> 24 [size =\"21463040\"]\n  6 -> 25 [size =\"21463040\"]\n  7 [size=\"145090560\", alpha=\"0.07\", expect_size=\"43527168\"] \n  7 -> 24 [size =\"43527168\"]\n  8 [size=\"101410133\", alpha=\"0.15\", expect_size=\"30423040\"] \n  8 -> 24 [size =\"30423040\"]\n  8 -> 25 [size =\"30423040\"]\n  8 -> 26 [size =\"30423040\"]\n  8 -> 27 [size =\"30423040\"]\n  8 -> 28 [size =\"30423040\"]\n  8 -> 29 [size =\"30423040\"]\n  9 [size=\"124825600\", alpha=\"0.08\", expect_size=\"37447680\"] \n  9 -> 24 [size =\"37447680\"]\n  9 -> 25 [size =\"37447680\"]\n  9 -> 26 [size =\"37447680\"]\n  9 -> 27 [size =\"37447680\"]\n  9 -> 30 [size =\"37447680\"]\n  10 [size=\"167072427\", alpha=\"0.01\", expect_size=\"50121728\"] \n  10 -> 24 [size =\"50121728\"]\n  10 -> 28 [size =\"50121728\"]\n  11 [size=\"152692053\", alpha=\"0.02\", expect_size=\"45807616\"] \n  11 -> 25 [size =\"45807616\"]\n  11 -> 26 [size =\"45807616\"]\n  11 -> 28 [size =\"45807616\"]\n  11 -> 29 [size =\"45807616\"]\n  11 -> 30 [size =\"45807616\"]\n  12 [size=\"166355627\", alpha=\"0.06\", expect_size=\"49906688\"] \n  12 -> 25 [size =\"49906688\"]\n  12 -> 26 [size =\"49906688\"]\n  12 -> 29 [size =\"49906688\"]\n  12 -> 29 [size =\"49906688\"]\n  12 -> 30 [size =\"49906688\"]\n  13 [size=\"145694720\", alpha=\"0.03\", expect_size=\"43708416\"] \n  13 -> 26 [size =\"43708416\"]\n  14 [size=\"119784107\", alpha=\"0.06\", expect_size=\"35935232\"] \n  14 -> 24 [size =\"35935232\"]\n  14 -> 27 [size =\"35935232\"]\n  15 [size=\"145152000\", alpha=\"0.18\", expect_size=\"43545600\"] \n  15 -> 25 [size =\"43545600\"]\n  15 -> 27 [size =\"43545600\"]\n  15 -> 29 [size =\"43545600\"]\n  16 [size=\"35467947\", alpha=\"0.19\", expect_size=\"10640384\"] \n  16 -> 25 [size =\"10640384\"]\n  16 -> 27 [size =\"10640384\"]\n  16 -> 28 [size =\"10640384\"]\n  17 [size=\"156067840\", alpha=\"0.20\", expect_size=\"46820352\"] \n  17 -> 24 [size =\"46820352\"]\n  17 -> 27 [size =\"46820352\"]\n  18 [size=\"52271787\", alpha=\"0.05\", expect_size=\"15681536\"] \n  18 -> 25 [size =\"15681536\"]\n  18 -> 28 [size =\"15681536\"]\n  19 [size=\"166840320\", alpha=\"0.04\", expect_size=\"50052096\"] \n  19 -> 24 [size =\"50052096\"]\n  19 -> 25 [size =\"50052096\"]\n  19 -> 27 [size =\"50052096\"]\n  19 -> 28 [size =\"50052096\"]\n  20 [size=\"75287893\", alpha=\"0.08\", expect_size=\"22586368\"] \n  20 -> 25 [size =\"22586368\"]\n  20 -> 26 [size =\"22586368\"]\n  20 -> 27 [size =\"22586368\"]\n  20 -> 28 [size =\"22586368\"]\n  21 [size=\"80541013\", alpha=\"0.13\", expect_size=\"24162304\"] \n  21 -> 27 [size =\"24162304\"]\n  21 -> 29 [size =\"24162304\"]\n  22 [size=\"99300693\", alpha=\"0.10\", expect_size=\"29790208\"] \n  22 -> 27 [size =\"29790208\"]\n  23 [size=\"142646613\", alpha=\"0.03\", expect_size=\"42793984\"] \n  23 -> 24 [size =\"42793984\"]\n  23 -> 27 [size =\"42793984\"]\n  24 [size=\"166737920\", alpha=\"0.19\", expect_size=\"50021376\"] \n  25 [size=\"56842240\", alpha=\"0.02\", expect_size=\"17052672\"] \n  26 [size=\"41219413\", alpha=\"0.11\", expect_size=\"12365824\"] \n  27 [size=\"31464107\", alpha=\"0.17\", expect_size=\"9439232\"] \n  28 [size=\"30849707\", alpha=\"0.14\", expect_size=\"9254912\"] \n  29 [size=\"67239253\", alpha=\"0.04\", expect_size=\"20171776\"] \n  30 [size=\"101526187\", alpha=\"0.13\", expect_size=\"30457856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116551680\", alpha=\"0.04\", expect_size=\"34965504\"] \n  1 -> 2 [size =\"34965504\"]\n  2 [size=\"46110720\", alpha=\"0.16\", expect_size=\"13833216\"] \n  2 -> 3 [size =\"13833216\"]\n  3 [size=\"171533653\", alpha=\"0.10\", expect_size=\"51460096\"] \n  3 -> 4 [size =\"51460096\"]\n  4 [size=\"144278187\", alpha=\"0.09\", expect_size=\"43283456\"] \n  4 -> 5 [size =\"43283456\"]\n  5 [size=\"52363947\", alpha=\"0.01\", expect_size=\"15709184\"] \n  5 -> 6 [size =\"15709184\"]\n  6 [size=\"19892907\", alpha=\"0.06\", expect_size=\"5967872\"] \n  6 -> 7 [size =\"5967872\"]\n  7 [size=\"173352960\", alpha=\"0.08\", expect_size=\"52005888\"] \n  7 -> 8 [size =\"52005888\"]\n  8 [size=\"80776533\", alpha=\"0.07\", expect_size=\"24232960\"] \n  8 -> 9 [size =\"24232960\"]\n  9 [size=\"85138773\", alpha=\"0.09\", expect_size=\"25541632\"] \n  9 -> 10 [size =\"25541632\"]\n  10 [size=\"67908267\", alpha=\"0.03\", expect_size=\"20372480\"] \n  10 -> 11 [size =\"20372480\"]\n  11 [size=\"67457707\", alpha=\"0.06\", expect_size=\"20237312\"] \n  11 -> 12 [size =\"20237312\"]\n  12 [size=\"101546667\", alpha=\"0.13\", expect_size=\"30464000\"] \n  12 -> 13 [size =\"30464000\"]\n  13 [size=\"67478187\", alpha=\"0.11\", expect_size=\"20243456\"] \n  13 -> 14 [size =\"20243456\"]\n  14 [size=\"149445973\", alpha=\"0.19\", expect_size=\"44833792\"] \n  14 -> 15 [size =\"44833792\"]\n  15 [size=\"61788160\", alpha=\"0.06\", expect_size=\"18536448\"] \n  15 -> 16 [size =\"18536448\"]\n  16 [size=\"66611200\", alpha=\"0.18\", expect_size=\"19983360\"] \n  16 -> 17 [size =\"19983360\"]\n  17 [size=\"113954133\", alpha=\"0.12\", expect_size=\"34186240\"] \n  17 -> 18 [size =\"34186240\"]\n  18 [size=\"173748907\", alpha=\"0.16\", expect_size=\"52124672\"] \n  18 -> 19 [size =\"52124672\"]\n  19 [size=\"73693867\", alpha=\"0.13\", expect_size=\"22108160\"] \n  19 -> 20 [size =\"22108160\"]\n  20 [size=\"144759467\", alpha=\"0.11\", expect_size=\"43427840\"] \n  20 -> 21 [size =\"43427840\"]\n  21 [size=\"166761813\", alpha=\"0.01\", expect_size=\"50028544\"] \n  21 -> 22 [size =\"50028544\"]\n  22 [size=\"59163307\", alpha=\"0.16\", expect_size=\"17748992\"] \n  22 -> 23 [size =\"17748992\"]\n  23 [size=\"160651947\", alpha=\"0.09\", expect_size=\"48195584\"] \n  23 -> 24 [size =\"48195584\"]\n  24 [size=\"86254933\", alpha=\"0.19\", expect_size=\"25876480\"] \n  24 -> 25 [size =\"25876480\"]\n  25 [size=\"82039467\", alpha=\"0.14\", expect_size=\"24611840\"] \n  25 -> 26 [size =\"24611840\"]\n  26 [size=\"127583573\", alpha=\"0.08\", expect_size=\"38275072\"] \n  26 -> 27 [size =\"38275072\"]\n  27 [size=\"111271253\", alpha=\"0.03\", expect_size=\"33381376\"] \n  27 -> 28 [size =\"33381376\"]\n  28 [size=\"48868693\", alpha=\"0.05\", expect_size=\"14660608\"] \n  28 -> 29 [size =\"14660608\"]\n  29 [size=\"21053440\", alpha=\"0.17\", expect_size=\"6316032\"] \n  29 -> 30 [size =\"6316032\"]\n  30 [size=\"121804800\", alpha=\"0.14\", expect_size=\"36541440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34792107\", alpha=\"0.09\", expect_size=\"10437632\"] \n  1 -> 7 [size =\"10437632\"]\n  1 -> 10 [size =\"10437632\"]\n  1 -> 11 [size =\"10437632\"]\n  1 -> 12 [size =\"10437632\"]\n  1 -> 13 [size =\"10437632\"]\n  1 -> 14 [size =\"10437632\"]\n  1 -> 15 [size =\"10437632\"]\n  1 -> 16 [size =\"10437632\"]\n  1 -> 18 [size =\"10437632\"]\n  1 -> 19 [size =\"10437632\"]\n  2 [size=\"116763307\", alpha=\"0.15\", expect_size=\"35028992\"] \n  2 -> 6 [size =\"35028992\"]\n  2 -> 11 [size =\"35028992\"]\n  2 -> 14 [size =\"35028992\"]\n  2 -> 15 [size =\"35028992\"]\n  2 -> 16 [size =\"35028992\"]\n  2 -> 18 [size =\"35028992\"]\n  2 -> 19 [size =\"35028992\"]\n  3 [size=\"145414827\", alpha=\"0.18\", expect_size=\"43624448\"] \n  3 -> 7 [size =\"43624448\"]\n  3 -> 8 [size =\"43624448\"]\n  3 -> 12 [size =\"43624448\"]\n  3 -> 14 [size =\"43624448\"]\n  3 -> 15 [size =\"43624448\"]\n  3 -> 16 [size =\"43624448\"]\n  3 -> 18 [size =\"43624448\"]\n  3 -> 19 [size =\"43624448\"]\n  4 [size=\"106796373\", alpha=\"0.05\", expect_size=\"32038912\"] \n  4 -> 8 [size =\"32038912\"]\n  4 -> 9 [size =\"32038912\"]\n  4 -> 13 [size =\"32038912\"]\n  4 -> 15 [size =\"32038912\"]\n  4 -> 16 [size =\"32038912\"]\n  4 -> 18 [size =\"32038912\"]\n  4 -> 19 [size =\"32038912\"]\n  5 [size=\"42926080\", alpha=\"0.15\", expect_size=\"12877824\"] \n  5 -> 7 [size =\"12877824\"]\n  5 -> 10 [size =\"12877824\"]\n  5 -> 11 [size =\"12877824\"]\n  5 -> 12 [size =\"12877824\"]\n  5 -> 13 [size =\"12877824\"]\n  5 -> 14 [size =\"12877824\"]\n  5 -> 15 [size =\"12877824\"]\n  5 -> 16 [size =\"12877824\"]\n  5 -> 17 [size =\"12877824\"]\n  5 -> 19 [size =\"12877824\"]\n  6 [size=\"44346027\", alpha=\"0.12\", expect_size=\"13303808\"] \n  6 -> 20 [size =\"13303808\"]\n  6 -> 22 [size =\"13303808\"]\n  6 -> 23 [size =\"13303808\"]\n  6 -> 24 [size =\"13303808\"]\n  6 -> 26 [size =\"13303808\"]\n  6 -> 27 [size =\"13303808\"]\n  6 -> 28 [size =\"13303808\"]\n  6 -> 29 [size =\"13303808\"]\n  6 -> 30 [size =\"13303808\"]\n  7 [size=\"161331200\", alpha=\"0.02\", expect_size=\"48399360\"] \n  7 -> 20 [size =\"48399360\"]\n  7 -> 21 [size =\"48399360\"]\n  7 -> 22 [size =\"48399360\"]\n  7 -> 25 [size =\"48399360\"]\n  7 -> 26 [size =\"48399360\"]\n  7 -> 27 [size =\"48399360\"]\n  7 -> 28 [size =\"48399360\"]\n  7 -> 29 [size =\"48399360\"]\n  7 -> 30 [size =\"48399360\"]\n  8 [size=\"60375040\", alpha=\"0.20\", expect_size=\"18112512\"] \n  8 -> 20 [size =\"18112512\"]\n  8 -> 21 [size =\"18112512\"]\n  8 -> 22 [size =\"18112512\"]\n  8 -> 26 [size =\"18112512\"]\n  8 -> 26 [size =\"18112512\"]\n  8 -> 27 [size =\"18112512\"]\n  9 [size=\"41260373\", alpha=\"0.08\", expect_size=\"12378112\"] \n  9 -> 22 [size =\"12378112\"]\n  9 -> 23 [size =\"12378112\"]\n  9 -> 27 [size =\"12378112\"]\n  9 -> 29 [size =\"12378112\"]\n  9 -> 30 [size =\"12378112\"]\n  10 [size=\"168052053\", alpha=\"0.07\", expect_size=\"50415616\"] \n  10 -> 22 [size =\"50415616\"]\n  10 -> 23 [size =\"50415616\"]\n  10 -> 26 [size =\"50415616\"]\n  10 -> 28 [size =\"50415616\"]\n  10 -> 29 [size =\"50415616\"]\n  10 -> 30 [size =\"50415616\"]\n  11 [size=\"160989867\", alpha=\"0.15\", expect_size=\"48296960\"] \n  11 -> 23 [size =\"48296960\"]\n  11 -> 26 [size =\"48296960\"]\n  11 -> 27 [size =\"48296960\"]\n  11 -> 28 [size =\"48296960\"]\n  11 -> 30 [size =\"48296960\"]\n  11 -> 30 [size =\"48296960\"]\n  12 [size=\"75072853\", alpha=\"0.07\", expect_size=\"22521856\"] \n  12 -> 20 [size =\"22521856\"]\n  12 -> 22 [size =\"22521856\"]\n  12 -> 23 [size =\"22521856\"]\n  12 -> 26 [size =\"22521856\"]\n  12 -> 27 [size =\"22521856\"]\n  12 -> 28 [size =\"22521856\"]\n  12 -> 29 [size =\"22521856\"]\n  13 [size=\"33498453\", alpha=\"0.06\", expect_size=\"10049536\"] \n  13 -> 23 [size =\"10049536\"]\n  13 -> 28 [size =\"10049536\"]\n  13 -> 29 [size =\"10049536\"]\n  14 [size=\"173830827\", alpha=\"0.10\", expect_size=\"52149248\"] \n  14 -> 23 [size =\"52149248\"]\n  14 -> 24 [size =\"52149248\"]\n  14 -> 26 [size =\"52149248\"]\n  14 -> 28 [size =\"52149248\"]\n  15 [size=\"57019733\", alpha=\"0.06\", expect_size=\"17105920\"] \n  15 -> 20 [size =\"17105920\"]\n  15 -> 22 [size =\"17105920\"]\n  15 -> 23 [size =\"17105920\"]\n  15 -> 28 [size =\"17105920\"]\n  15 -> 29 [size =\"17105920\"]\n  15 -> 30 [size =\"17105920\"]\n  16 [size=\"18503680\", alpha=\"0.08\", expect_size=\"5551104\"] \n  16 -> 21 [size =\"5551104\"]\n  16 -> 22 [size =\"5551104\"]\n  16 -> 23 [size =\"5551104\"]\n  16 -> 28 [size =\"5551104\"]\n  16 -> 29 [size =\"5551104\"]\n  17 [size=\"114827947\", alpha=\"0.09\", expect_size=\"34448384\"] \n  17 -> 22 [size =\"34448384\"]\n  17 -> 22 [size =\"34448384\"]\n  17 -> 25 [size =\"34448384\"]\n  17 -> 26 [size =\"34448384\"]\n  17 -> 27 [size =\"34448384\"]\n  17 -> 28 [size =\"34448384\"]\n  17 -> 29 [size =\"34448384\"]\n  17 -> 30 [size =\"34448384\"]\n  18 [size=\"133990400\", alpha=\"0.19\", expect_size=\"40197120\"] \n  18 -> 22 [size =\"40197120\"]\n  18 -> 26 [size =\"40197120\"]\n  18 -> 27 [size =\"40197120\"]\n  18 -> 28 [size =\"40197120\"]\n  19 [size=\"133478400\", alpha=\"0.18\", expect_size=\"40043520\"] \n  19 -> 22 [size =\"40043520\"]\n  19 -> 23 [size =\"40043520\"]\n  19 -> 26 [size =\"40043520\"]\n  19 -> 28 [size =\"40043520\"]\n  19 -> 29 [size =\"40043520\"]\n  20 [size=\"40874667\", alpha=\"0.18\", expect_size=\"12262400\"] \n  21 [size=\"98273280\", alpha=\"0.01\", expect_size=\"29481984\"] \n  22 [size=\"55453013\", alpha=\"0.16\", expect_size=\"16635904\"] \n  23 [size=\"109516800\", alpha=\"0.07\", expect_size=\"32855040\"] \n  24 [size=\"154460160\", alpha=\"0.10\", expect_size=\"46338048\"] \n  25 [size=\"78953813\", alpha=\"0.15\", expect_size=\"23686144\"] \n  26 [size=\"130017280\", alpha=\"0.05\", expect_size=\"39005184\"] \n  27 [size=\"32088747\", alpha=\"0.12\", expect_size=\"9626624\"] \n  28 [size=\"103775573\", alpha=\"0.05\", expect_size=\"31132672\"] \n  29 [size=\"98413227\", alpha=\"0.01\", expect_size=\"29523968\"] \n  30 [size=\"84783787\", alpha=\"0.16\", expect_size=\"25435136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34777600\", alpha=\"0.06\", expect_size=\"13911040\"] \n  1 -> 2 [size =\"13911040\"]\n  2 [size=\"100736000\", alpha=\"0.01\", expect_size=\"40294400\"] \n  2 -> 3 [size =\"40294400\"]\n  3 [size=\"88248320\", alpha=\"0.05\", expect_size=\"35299328\"] \n  3 -> 4 [size =\"35299328\"]\n  4 [size=\"128995840\", alpha=\"0.15\", expect_size=\"51598336\"] \n  4 -> 5 [size =\"51598336\"]\n  5 [size=\"95357440\", alpha=\"0.11\", expect_size=\"38142976\"] \n  5 -> 6 [size =\"38142976\"]\n  6 [size=\"123619840\", alpha=\"0.05\", expect_size=\"49447936\"] \n  6 -> 7 [size =\"49447936\"]\n  7 [size=\"98027520\", alpha=\"0.02\", expect_size=\"39211008\"] \n  7 -> 8 [size =\"39211008\"]\n  8 [size=\"69365760\", alpha=\"0.12\", expect_size=\"27746304\"] \n  8 -> 9 [size =\"27746304\"]\n  9 [size=\"112384000\", alpha=\"0.02\", expect_size=\"44953600\"] \n  9 -> 10 [size =\"44953600\"]\n  10 [size=\"43704320\", alpha=\"0.04\", expect_size=\"17481728\"] \n  10 -> 11 [size =\"17481728\"]\n  11 [size=\"48624640\", alpha=\"0.13\", expect_size=\"19449856\"] \n  11 -> 12 [size =\"19449856\"]\n  12 [size=\"86737920\", alpha=\"0.16\", expect_size=\"34695168\"] \n  12 -> 13 [size =\"34695168\"]\n  13 [size=\"93335040\", alpha=\"0.06\", expect_size=\"37334016\"] \n  13 -> 14 [size =\"37334016\"]\n  14 [size=\"124510720\", alpha=\"0.17\", expect_size=\"49804288\"] \n  14 -> 15 [size =\"49804288\"]\n  15 [size=\"92433920\", alpha=\"0.04\", expect_size=\"36973568\"] \n  15 -> 16 [size =\"36973568\"]\n  16 [size=\"41610240\", alpha=\"0.13\", expect_size=\"16644096\"] \n  16 -> 17 [size =\"16644096\"]\n  17 [size=\"70039040\", alpha=\"0.03\", expect_size=\"28015616\"] \n  17 -> 18 [size =\"28015616\"]\n  18 [size=\"84410880\", alpha=\"0.14\", expect_size=\"33764352\"] \n  18 -> 19 [size =\"33764352\"]\n  19 [size=\"38510080\", alpha=\"0.09\", expect_size=\"15404032\"] \n  19 -> 20 [size =\"15404032\"]\n  20 [size=\"48552960\", alpha=\"0.04\", expect_size=\"19421184\"] \n  20 -> 21 [size =\"19421184\"]\n  21 [size=\"74928640\", alpha=\"0.04\", expect_size=\"29971456\"] \n  21 -> 22 [size =\"29971456\"]\n  22 [size=\"32363520\", alpha=\"0.18\", expect_size=\"12945408\"] \n  22 -> 23 [size =\"12945408\"]\n  23 [size=\"127339520\", alpha=\"0.05\", expect_size=\"50935808\"] \n  23 -> 24 [size =\"50935808\"]\n  24 [size=\"47610880\", alpha=\"0.12\", expect_size=\"19044352\"] \n  24 -> 25 [size =\"19044352\"]\n  25 [size=\"27010560\", alpha=\"0.13\", expect_size=\"10804224\"] \n  25 -> 26 [size =\"10804224\"]\n  26 [size=\"50142720\", alpha=\"0.12\", expect_size=\"20057088\"] \n  26 -> 27 [size =\"20057088\"]\n  27 [size=\"126394880\", alpha=\"0.06\", expect_size=\"50557952\"] \n  27 -> 28 [size =\"50557952\"]\n  28 [size=\"26339840\", alpha=\"0.10\", expect_size=\"10535936\"] \n  28 -> 29 [size =\"10535936\"]\n  29 [size=\"106270720\", alpha=\"0.10\", expect_size=\"42508288\"] \n  29 -> 30 [size =\"42508288\"]\n  30 [size=\"39216640\", alpha=\"0.15\", expect_size=\"15686656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108257280\", alpha=\"0.08\", expect_size=\"32477184\"] \n  1 -> 25 [size =\"32477184\"]\n  1 -> 25 [size =\"32477184\"]\n  1 -> 26 [size =\"32477184\"]\n  1 -> 28 [size =\"32477184\"]\n  1 -> 29 [size =\"32477184\"]\n  1 -> 30 [size =\"32477184\"]\n  2 [size=\"96723627\", alpha=\"0.14\", expect_size=\"29017088\"] \n  2 -> 25 [size =\"29017088\"]\n  2 -> 26 [size =\"29017088\"]\n  2 -> 26 [size =\"29017088\"]\n  2 -> 29 [size =\"29017088\"]\n  2 -> 30 [size =\"29017088\"]\n  3 [size=\"77148160\", alpha=\"0.10\", expect_size=\"23144448\"] \n  3 -> 22 [size =\"23144448\"]\n  3 -> 23 [size =\"23144448\"]\n  3 -> 25 [size =\"23144448\"]\n  3 -> 26 [size =\"23144448\"]\n  3 -> 29 [size =\"23144448\"]\n  3 -> 30 [size =\"23144448\"]\n  4 [size=\"101126827\", alpha=\"0.12\", expect_size=\"30338048\"] \n  4 -> 22 [size =\"30338048\"]\n  4 -> 24 [size =\"30338048\"]\n  4 -> 25 [size =\"30338048\"]\n  4 -> 26 [size =\"30338048\"]\n  4 -> 29 [size =\"30338048\"]\n  4 -> 30 [size =\"30338048\"]\n  5 [size=\"49909760\", alpha=\"0.12\", expect_size=\"14972928\"] \n  5 -> 22 [size =\"14972928\"]\n  5 -> 26 [size =\"14972928\"]\n  5 -> 28 [size =\"14972928\"]\n  5 -> 29 [size =\"14972928\"]\n  5 -> 30 [size =\"14972928\"]\n  6 [size=\"35430400\", alpha=\"0.04\", expect_size=\"10629120\"] \n  6 -> 22 [size =\"10629120\"]\n  6 -> 25 [size =\"10629120\"]\n  6 -> 26 [size =\"10629120\"]\n  6 -> 28 [size =\"10629120\"]\n  7 [size=\"116544853\", alpha=\"0.10\", expect_size=\"34963456\"] \n  7 -> 22 [size =\"34963456\"]\n  7 -> 25 [size =\"34963456\"]\n  7 -> 26 [size =\"34963456\"]\n  7 -> 27 [size =\"34963456\"]\n  7 -> 29 [size =\"34963456\"]\n  7 -> 30 [size =\"34963456\"]\n  8 [size=\"132703573\", alpha=\"0.18\", expect_size=\"39811072\"] \n  8 -> 22 [size =\"39811072\"]\n  8 -> 25 [size =\"39811072\"]\n  8 -> 26 [size =\"39811072\"]\n  8 -> 27 [size =\"39811072\"]\n  8 -> 29 [size =\"39811072\"]\n  8 -> 30 [size =\"39811072\"]\n  9 [size=\"171666773\", alpha=\"0.12\", expect_size=\"51500032\"] \n  9 -> 22 [size =\"51500032\"]\n  9 -> 25 [size =\"51500032\"]\n  9 -> 29 [size =\"51500032\"]\n  9 -> 30 [size =\"51500032\"]\n  10 [size=\"115937280\", alpha=\"0.04\", expect_size=\"34781184\"] \n  10 -> 22 [size =\"34781184\"]\n  10 -> 26 [size =\"34781184\"]\n  10 -> 28 [size =\"34781184\"]\n  10 -> 29 [size =\"34781184\"]\n  10 -> 30 [size =\"34781184\"]\n  11 [size=\"170707627\", alpha=\"0.11\", expect_size=\"51212288\"] \n  11 -> 25 [size =\"51212288\"]\n  11 -> 26 [size =\"51212288\"]\n  11 -> 28 [size =\"51212288\"]\n  11 -> 29 [size =\"51212288\"]\n  11 -> 30 [size =\"51212288\"]\n  12 [size=\"77038933\", alpha=\"0.04\", expect_size=\"23111680\"] \n  12 -> 22 [size =\"23111680\"]\n  12 -> 24 [size =\"23111680\"]\n  12 -> 25 [size =\"23111680\"]\n  12 -> 26 [size =\"23111680\"]\n  12 -> 28 [size =\"23111680\"]\n  12 -> 29 [size =\"23111680\"]\n  13 [size=\"27504640\", alpha=\"0.02\", expect_size=\"8251392\"] \n  13 -> 22 [size =\"8251392\"]\n  13 -> 26 [size =\"8251392\"]\n  13 -> 29 [size =\"8251392\"]\n  14 [size=\"108168533\", alpha=\"0.20\", expect_size=\"32450560\"] \n  14 -> 22 [size =\"32450560\"]\n  14 -> 26 [size =\"32450560\"]\n  14 -> 28 [size =\"32450560\"]\n  14 -> 29 [size =\"32450560\"]\n  15 [size=\"45544107\", alpha=\"0.17\", expect_size=\"13663232\"] \n  15 -> 22 [size =\"13663232\"]\n  15 -> 24 [size =\"13663232\"]\n  15 -> 25 [size =\"13663232\"]\n  15 -> 26 [size =\"13663232\"]\n  15 -> 28 [size =\"13663232\"]\n  16 [size=\"137096533\", alpha=\"0.18\", expect_size=\"41128960\"] \n  16 -> 22 [size =\"41128960\"]\n  16 -> 25 [size =\"41128960\"]\n  16 -> 25 [size =\"41128960\"]\n  16 -> 28 [size =\"41128960\"]\n  16 -> 28 [size =\"41128960\"]\n  16 -> 30 [size =\"41128960\"]\n  17 [size=\"167413760\", alpha=\"0.09\", expect_size=\"50224128\"] \n  17 -> 22 [size =\"50224128\"]\n  17 -> 25 [size =\"50224128\"]\n  17 -> 28 [size =\"50224128\"]\n  17 -> 28 [size =\"50224128\"]\n  17 -> 29 [size =\"50224128\"]\n  18 [size=\"89791147\", alpha=\"0.17\", expect_size=\"26937344\"] \n  18 -> 24 [size =\"26937344\"]\n  18 -> 25 [size =\"26937344\"]\n  18 -> 28 [size =\"26937344\"]\n  18 -> 30 [size =\"26937344\"]\n  19 [size=\"70144000\", alpha=\"0.17\", expect_size=\"21043200\"] \n  19 -> 26 [size =\"21043200\"]\n  19 -> 30 [size =\"21043200\"]\n  20 [size=\"165563733\", alpha=\"0.13\", expect_size=\"49669120\"] \n  20 -> 22 [size =\"49669120\"]\n  20 -> 25 [size =\"49669120\"]\n  20 -> 26 [size =\"49669120\"]\n  20 -> 30 [size =\"49669120\"]\n  21 [size=\"36164267\", alpha=\"0.00\", expect_size=\"10849280\"] \n  21 -> 22 [size =\"10849280\"]\n  21 -> 25 [size =\"10849280\"]\n  21 -> 26 [size =\"10849280\"]\n  21 -> 29 [size =\"10849280\"]\n  21 -> 30 [size =\"10849280\"]\n  22 [size=\"119586133\", alpha=\"0.18\", expect_size=\"35875840\"] \n  23 [size=\"149712213\", alpha=\"0.03\", expect_size=\"44913664\"] \n  24 [size=\"165608107\", alpha=\"0.18\", expect_size=\"49682432\"] \n  25 [size=\"162829653\", alpha=\"0.18\", expect_size=\"48848896\"] \n  26 [size=\"141895680\", alpha=\"0.00\", expect_size=\"42568704\"] \n  27 [size=\"125716480\", alpha=\"0.15\", expect_size=\"37714944\"] \n  28 [size=\"39232853\", alpha=\"0.04\", expect_size=\"11769856\"] \n  29 [size=\"171520000\", alpha=\"0.13\", expect_size=\"51456000\"] \n  30 [size=\"151763627\", alpha=\"0.14\", expect_size=\"45529088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66000896\", alpha=\"0.11\", expect_size=\"33000448\"] \n  2 [size=\"67622912\", alpha=\"0.03\", expect_size=\"33811456\"] \n  2 -> 28 [size =\"33811456\"]\n  2 -> 30 [size =\"33811456\"]\n  3 [size=\"48605184\", alpha=\"0.01\", expect_size=\"24302592\"] \n  4 [size=\"89563136\", alpha=\"0.07\", expect_size=\"44781568\"] \n  4 -> 30 [size =\"44781568\"]\n  5 [size=\"25610240\", alpha=\"0.10\", expect_size=\"12805120\"] \n  5 -> 29 [size =\"12805120\"]\n  6 [size=\"51142656\", alpha=\"0.10\", expect_size=\"25571328\"] \n  6 -> 27 [size =\"25571328\"]\n  6 -> 30 [size =\"25571328\"]\n  7 [size=\"103548928\", alpha=\"0.10\", expect_size=\"51774464\"] \n  7 -> 27 [size =\"51774464\"]\n  7 -> 30 [size =\"51774464\"]\n  8 [size=\"18186240\", alpha=\"0.15\", expect_size=\"9093120\"] \n  8 -> 30 [size =\"9093120\"]\n  9 [size=\"12488704\", alpha=\"0.11\", expect_size=\"6244352\"] \n  9 -> 29 [size =\"6244352\"]\n  10 [size=\"28004352\", alpha=\"0.08\", expect_size=\"14002176\"] \n  10 -> 30 [size =\"14002176\"]\n  11 [size=\"19660800\", alpha=\"0.17\", expect_size=\"9830400\"] \n  11 -> 30 [size =\"9830400\"]\n  12 [size=\"73656320\", alpha=\"0.07\", expect_size=\"36828160\"] \n  13 [size=\"88487936\", alpha=\"0.03\", expect_size=\"44243968\"] \n  14 [size=\"93816832\", alpha=\"0.11\", expect_size=\"46908416\"] \n  15 [size=\"33058816\", alpha=\"0.14\", expect_size=\"16529408\"] \n  16 [size=\"78794752\", alpha=\"0.04\", expect_size=\"39397376\"] \n  16 -> 30 [size =\"39397376\"]\n  17 [size=\"31172608\", alpha=\"0.06\", expect_size=\"15586304\"] \n  17 -> 28 [size =\"15586304\"]\n  17 -> 30 [size =\"15586304\"]\n  18 [size=\"79548416\", alpha=\"0.06\", expect_size=\"39774208\"] \n  18 -> 28 [size =\"39774208\"]\n  18 -> 30 [size =\"39774208\"]\n  19 [size=\"57090048\", alpha=\"0.16\", expect_size=\"28545024\"] \n  20 [size=\"15349760\", alpha=\"0.03\", expect_size=\"7674880\"] \n  20 -> 28 [size =\"7674880\"]\n  20 -> 30 [size =\"7674880\"]\n  21 [size=\"54769664\", alpha=\"0.02\", expect_size=\"27384832\"] \n  22 [size=\"42342400\", alpha=\"0.13\", expect_size=\"21171200\"] \n  22 -> 26 [size =\"21171200\"]\n  23 [size=\"73580544\", alpha=\"0.12\", expect_size=\"36790272\"] \n  23 -> 30 [size =\"36790272\"]\n  24 [size=\"88647680\", alpha=\"0.08\", expect_size=\"44323840\"] \n  24 -> 26 [size =\"44323840\"]\n  24 -> 28 [size =\"44323840\"]\n  25 [size=\"45479936\", alpha=\"0.07\", expect_size=\"22739968\"] \n  26 [size=\"19011584\", alpha=\"0.15\", expect_size=\"9505792\"] \n  27 [size=\"38768640\", alpha=\"0.02\", expect_size=\"19384320\"] \n  28 [size=\"64817152\", alpha=\"0.11\", expect_size=\"32408576\"] \n  29 [size=\"93722624\", alpha=\"0.00\", expect_size=\"46861312\"] \n  30 [size=\"75520000\", alpha=\"0.13\", expect_size=\"37760000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104560640\", alpha=\"0.18\", expect_size=\"52280320\"] \n  2 [size=\"83027968\", alpha=\"0.01\", expect_size=\"41513984\"] \n  2 -> 29 [size =\"41513984\"]\n  3 [size=\"88000512\", alpha=\"0.12\", expect_size=\"44000256\"] \n  3 -> 29 [size =\"44000256\"]\n  4 [size=\"41146368\", alpha=\"0.00\", expect_size=\"20573184\"] \n  4 -> 30 [size =\"20573184\"]\n  5 [size=\"70580224\", alpha=\"0.01\", expect_size=\"35290112\"] \n  5 -> 28 [size =\"35290112\"]\n  5 -> 29 [size =\"35290112\"]\n  6 [size=\"78993408\", alpha=\"0.10\", expect_size=\"39496704\"] \n  6 -> 27 [size =\"39496704\"]\n  6 -> 29 [size =\"39496704\"]\n  7 [size=\"77146112\", alpha=\"0.13\", expect_size=\"38573056\"] \n  7 -> 28 [size =\"38573056\"]\n  8 [size=\"76474368\", alpha=\"0.04\", expect_size=\"38237184\"] \n  8 -> 27 [size =\"38237184\"]\n  8 -> 28 [size =\"38237184\"]\n  9 [size=\"25237504\", alpha=\"0.07\", expect_size=\"12618752\"] \n  10 [size=\"70402048\", alpha=\"0.06\", expect_size=\"35201024\"] \n  10 -> 27 [size =\"35201024\"]\n  11 [size=\"84873216\", alpha=\"0.04\", expect_size=\"42436608\"] \n  11 -> 27 [size =\"42436608\"]\n  11 -> 28 [size =\"42436608\"]\n  11 -> 29 [size =\"42436608\"]\n  12 [size=\"73310208\", alpha=\"0.15\", expect_size=\"36655104\"] \n  12 -> 28 [size =\"36655104\"]\n  12 -> 29 [size =\"36655104\"]\n  13 [size=\"77684736\", alpha=\"0.17\", expect_size=\"38842368\"] \n  14 [size=\"38995968\", alpha=\"0.09\", expect_size=\"19497984\"] \n  14 -> 29 [size =\"19497984\"]\n  15 [size=\"40689664\", alpha=\"0.10\", expect_size=\"20344832\"] \n  15 -> 27 [size =\"20344832\"]\n  15 -> 29 [size =\"20344832\"]\n  16 [size=\"44220416\", alpha=\"0.11\", expect_size=\"22110208\"] \n  16 -> 27 [size =\"22110208\"]\n  16 -> 29 [size =\"22110208\"]\n  17 [size=\"90525696\", alpha=\"0.11\", expect_size=\"45262848\"] \n  17 -> 29 [size =\"45262848\"]\n  17 -> 29 [size =\"45262848\"]\n  18 [size=\"55883776\", alpha=\"0.16\", expect_size=\"27941888\"] \n  18 -> 27 [size =\"27941888\"]\n  18 -> 28 [size =\"27941888\"]\n  18 -> 29 [size =\"27941888\"]\n  19 [size=\"76101632\", alpha=\"0.18\", expect_size=\"38050816\"] \n  20 [size=\"14979072\", alpha=\"0.12\", expect_size=\"7489536\"] \n  20 -> 27 [size =\"7489536\"]\n  21 [size=\"42397696\", alpha=\"0.06\", expect_size=\"21198848\"] \n  21 -> 27 [size =\"21198848\"]\n  21 -> 30 [size =\"21198848\"]\n  22 [size=\"61736960\", alpha=\"0.15\", expect_size=\"30868480\"] \n  23 [size=\"38572032\", alpha=\"0.01\", expect_size=\"19286016\"] \n  23 -> 28 [size =\"19286016\"]\n  24 [size=\"23615488\", alpha=\"0.14\", expect_size=\"11807744\"] \n  24 -> 29 [size =\"11807744\"]\n  25 [size=\"64487424\", alpha=\"0.19\", expect_size=\"32243712\"] \n  26 [size=\"16756736\", alpha=\"0.19\", expect_size=\"8378368\"] \n  26 -> 27 [size =\"8378368\"]\n  27 [size=\"70508544\", alpha=\"0.13\", expect_size=\"35254272\"] \n  28 [size=\"28551168\", alpha=\"0.00\", expect_size=\"14275584\"] \n  29 [size=\"102309888\", alpha=\"0.11\", expect_size=\"51154944\"] \n  30 [size=\"90669056\", alpha=\"0.15\", expect_size=\"45334528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21387264\", alpha=\"0.08\", expect_size=\"10693632\"] \n  1 -> 29 [size =\"10693632\"]\n  1 -> 30 [size =\"10693632\"]\n  2 [size=\"40187904\", alpha=\"0.02\", expect_size=\"20093952\"] \n  2 -> 21 [size =\"20093952\"]\n  2 -> 22 [size =\"20093952\"]\n  2 -> 23 [size =\"20093952\"]\n  3 [size=\"101105664\", alpha=\"0.03\", expect_size=\"50552832\"] \n  3 -> 24 [size =\"50552832\"]\n  3 -> 25 [size =\"50552832\"]\n  3 -> 27 [size =\"50552832\"]\n  3 -> 29 [size =\"50552832\"]\n  3 -> 30 [size =\"50552832\"]\n  4 [size=\"53784576\", alpha=\"0.18\", expect_size=\"26892288\"] \n  4 -> 21 [size =\"26892288\"]\n  4 -> 24 [size =\"26892288\"]\n  4 -> 28 [size =\"26892288\"]\n  4 -> 29 [size =\"26892288\"]\n  5 [size=\"65110016\", alpha=\"0.16\", expect_size=\"32555008\"] \n  5 -> 25 [size =\"32555008\"]\n  5 -> 27 [size =\"32555008\"]\n  5 -> 29 [size =\"32555008\"]\n  6 [size=\"17733632\", alpha=\"0.02\", expect_size=\"8866816\"] \n  6 -> 22 [size =\"8866816\"]\n  6 -> 24 [size =\"8866816\"]\n  6 -> 29 [size =\"8866816\"]\n  7 [size=\"30683136\", alpha=\"0.01\", expect_size=\"15341568\"] \n  7 -> 21 [size =\"15341568\"]\n  7 -> 22 [size =\"15341568\"]\n  7 -> 24 [size =\"15341568\"]\n  7 -> 27 [size =\"15341568\"]\n  7 -> 30 [size =\"15341568\"]\n  8 [size=\"38633472\", alpha=\"0.01\", expect_size=\"19316736\"] \n  8 -> 21 [size =\"19316736\"]\n  8 -> 27 [size =\"19316736\"]\n  9 [size=\"69543936\", alpha=\"0.20\", expect_size=\"34771968\"] \n  9 -> 21 [size =\"34771968\"]\n  9 -> 22 [size =\"34771968\"]\n  9 -> 24 [size =\"34771968\"]\n  9 -> 26 [size =\"34771968\"]\n  9 -> 27 [size =\"34771968\"]\n  9 -> 29 [size =\"34771968\"]\n  10 [size=\"89067520\", alpha=\"0.09\", expect_size=\"44533760\"] \n  10 -> 22 [size =\"44533760\"]\n  10 -> 25 [size =\"44533760\"]\n  10 -> 26 [size =\"44533760\"]\n  10 -> 29 [size =\"44533760\"]\n  11 [size=\"93261824\", alpha=\"0.12\", expect_size=\"46630912\"] \n  11 -> 23 [size =\"46630912\"]\n  11 -> 24 [size =\"46630912\"]\n  11 -> 25 [size =\"46630912\"]\n  11 -> 26 [size =\"46630912\"]\n  11 -> 29 [size =\"46630912\"]\n  12 [size=\"38049792\", alpha=\"0.13\", expect_size=\"19024896\"] \n  12 -> 22 [size =\"19024896\"]\n  12 -> 23 [size =\"19024896\"]\n  12 -> 24 [size =\"19024896\"]\n  12 -> 25 [size =\"19024896\"]\n  12 -> 26 [size =\"19024896\"]\n  12 -> 29 [size =\"19024896\"]\n  12 -> 30 [size =\"19024896\"]\n  13 [size=\"48472064\", alpha=\"0.07\", expect_size=\"24236032\"] \n  13 -> 22 [size =\"24236032\"]\n  13 -> 26 [size =\"24236032\"]\n  13 -> 27 [size =\"24236032\"]\n  13 -> 30 [size =\"24236032\"]\n  14 [size=\"63080448\", alpha=\"0.05\", expect_size=\"31540224\"] \n  14 -> 21 [size =\"31540224\"]\n  14 -> 25 [size =\"31540224\"]\n  14 -> 26 [size =\"31540224\"]\n  14 -> 28 [size =\"31540224\"]\n  14 -> 30 [size =\"31540224\"]\n  15 [size=\"51595264\", alpha=\"0.00\", expect_size=\"25797632\"] \n  15 -> 22 [size =\"25797632\"]\n  15 -> 23 [size =\"25797632\"]\n  15 -> 25 [size =\"25797632\"]\n  15 -> 27 [size =\"25797632\"]\n  15 -> 29 [size =\"25797632\"]\n  16 [size=\"33286144\", alpha=\"0.09\", expect_size=\"16643072\"] \n  16 -> 22 [size =\"16643072\"]\n  16 -> 24 [size =\"16643072\"]\n  16 -> 25 [size =\"16643072\"]\n  16 -> 29 [size =\"16643072\"]\n  17 [size=\"44621824\", alpha=\"0.11\", expect_size=\"22310912\"] \n  17 -> 23 [size =\"22310912\"]\n  17 -> 24 [size =\"22310912\"]\n  18 [size=\"49180672\", alpha=\"0.18\", expect_size=\"24590336\"] \n  18 -> 23 [size =\"24590336\"]\n  18 -> 24 [size =\"24590336\"]\n  18 -> 25 [size =\"24590336\"]\n  18 -> 27 [size =\"24590336\"]\n  18 -> 29 [size =\"24590336\"]\n  19 [size=\"55222272\", alpha=\"0.07\", expect_size=\"27611136\"] \n  19 -> 29 [size =\"27611136\"]\n  19 -> 30 [size =\"27611136\"]\n  20 [size=\"54591488\", alpha=\"0.17\", expect_size=\"27295744\"] \n  20 -> 24 [size =\"27295744\"]\n  20 -> 29 [size =\"27295744\"]\n  20 -> 30 [size =\"27295744\"]\n  21 [size=\"95967232\", alpha=\"0.10\", expect_size=\"47983616\"] \n  22 [size=\"57421824\", alpha=\"0.09\", expect_size=\"28710912\"] \n  23 [size=\"25903104\", alpha=\"0.07\", expect_size=\"12951552\"] \n  24 [size=\"58286080\", alpha=\"0.15\", expect_size=\"29143040\"] \n  25 [size=\"81037312\", alpha=\"0.14\", expect_size=\"40518656\"] \n  26 [size=\"82604032\", alpha=\"0.14\", expect_size=\"41302016\"] \n  27 [size=\"29902848\", alpha=\"0.19\", expect_size=\"14951424\"] \n  28 [size=\"82202624\", alpha=\"0.10\", expect_size=\"41101312\"] \n  29 [size=\"71337984\", alpha=\"0.13\", expect_size=\"35668992\"] \n  30 [size=\"103987200\", alpha=\"0.13\", expect_size=\"51993600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50742613\", alpha=\"0.03\", expect_size=\"15222784\"] \n  1 -> 14 [size =\"15222784\"]\n  1 -> 15 [size =\"15222784\"]\n  1 -> 20 [size =\"15222784\"]\n  1 -> 21 [size =\"15222784\"]\n  2 [size=\"94399147\", alpha=\"0.19\", expect_size=\"28319744\"] \n  2 -> 14 [size =\"28319744\"]\n  2 -> 17 [size =\"28319744\"]\n  2 -> 18 [size =\"28319744\"]\n  2 -> 20 [size =\"28319744\"]\n  3 [size=\"45114027\", alpha=\"0.12\", expect_size=\"13534208\"] \n  3 -> 17 [size =\"13534208\"]\n  3 -> 18 [size =\"13534208\"]\n  3 -> 21 [size =\"13534208\"]\n  4 [size=\"100051627\", alpha=\"0.03\", expect_size=\"30015488\"] \n  4 -> 12 [size =\"30015488\"]\n  4 -> 13 [size =\"30015488\"]\n  4 -> 14 [size =\"30015488\"]\n  4 -> 17 [size =\"30015488\"]\n  4 -> 18 [size =\"30015488\"]\n  5 [size=\"149736107\", alpha=\"0.10\", expect_size=\"44920832\"] \n  5 -> 11 [size =\"44920832\"]\n  5 -> 14 [size =\"44920832\"]\n  5 -> 15 [size =\"44920832\"]\n  5 -> 17 [size =\"44920832\"]\n  5 -> 18 [size =\"44920832\"]\n  5 -> 19 [size =\"44920832\"]\n  6 [size=\"110943573\", alpha=\"0.00\", expect_size=\"33283072\"] \n  6 -> 14 [size =\"33283072\"]\n  7 [size=\"118722560\", alpha=\"0.10\", expect_size=\"35616768\"] \n  7 -> 13 [size =\"35616768\"]\n  7 -> 15 [size =\"35616768\"]\n  7 -> 16 [size =\"35616768\"]\n  7 -> 17 [size =\"35616768\"]\n  7 -> 19 [size =\"35616768\"]\n  7 -> 21 [size =\"35616768\"]\n  8 [size=\"94064640\", alpha=\"0.11\", expect_size=\"28219392\"] \n  8 -> 11 [size =\"28219392\"]\n  8 -> 14 [size =\"28219392\"]\n  8 -> 17 [size =\"28219392\"]\n  8 -> 20 [size =\"28219392\"]\n  8 -> 21 [size =\"28219392\"]\n  9 [size=\"57378133\", alpha=\"0.17\", expect_size=\"17213440\"] \n  9 -> 15 [size =\"17213440\"]\n  9 -> 18 [size =\"17213440\"]\n  9 -> 21 [size =\"17213440\"]\n  10 [size=\"138779307\", alpha=\"0.17\", expect_size=\"41633792\"] \n  10 -> 13 [size =\"41633792\"]\n  10 -> 14 [size =\"41633792\"]\n  10 -> 15 [size =\"41633792\"]\n  10 -> 20 [size =\"41633792\"]\n  10 -> 21 [size =\"41633792\"]\n  11 [size=\"77482667\", alpha=\"0.07\", expect_size=\"23244800\"] \n  11 -> 27 [size =\"23244800\"]\n  12 [size=\"101666133\", alpha=\"0.04\", expect_size=\"30499840\"] \n  12 -> 22 [size =\"30499840\"]\n  12 -> 25 [size =\"30499840\"]\n  12 -> 26 [size =\"30499840\"]\n  12 -> 27 [size =\"30499840\"]\n  12 -> 28 [size =\"30499840\"]\n  13 [size=\"90135893\", alpha=\"0.03\", expect_size=\"27040768\"] \n  13 -> 23 [size =\"27040768\"]\n  13 -> 24 [size =\"27040768\"]\n  13 -> 28 [size =\"27040768\"]\n  14 [size=\"26675200\", alpha=\"0.04\", expect_size=\"8002560\"] \n  14 -> 24 [size =\"8002560\"]\n  14 -> 25 [size =\"8002560\"]\n  14 -> 28 [size =\"8002560\"]\n  15 [size=\"49954133\", alpha=\"0.11\", expect_size=\"14986240\"] \n  15 -> 22 [size =\"14986240\"]\n  15 -> 23 [size =\"14986240\"]\n  15 -> 24 [size =\"14986240\"]\n  15 -> 25 [size =\"14986240\"]\n  15 -> 26 [size =\"14986240\"]\n  15 -> 27 [size =\"14986240\"]\n  15 -> 28 [size =\"14986240\"]\n  16 [size=\"128112640\", alpha=\"0.09\", expect_size=\"38433792\"] \n  16 -> 24 [size =\"38433792\"]\n  16 -> 25 [size =\"38433792\"]\n  16 -> 27 [size =\"38433792\"]\n  16 -> 28 [size =\"38433792\"]\n  17 [size=\"130631680\", alpha=\"0.17\", expect_size=\"39189504\"] \n  17 -> 24 [size =\"39189504\"]\n  17 -> 25 [size =\"39189504\"]\n  17 -> 28 [size =\"39189504\"]\n  17 -> 28 [size =\"39189504\"]\n  18 [size=\"53258240\", alpha=\"0.12\", expect_size=\"15977472\"] \n  18 -> 23 [size =\"15977472\"]\n  18 -> 24 [size =\"15977472\"]\n  18 -> 25 [size =\"15977472\"]\n  18 -> 26 [size =\"15977472\"]\n  18 -> 28 [size =\"15977472\"]\n  19 [size=\"137185280\", alpha=\"0.17\", expect_size=\"41155584\"] \n  19 -> 22 [size =\"41155584\"]\n  19 -> 23 [size =\"41155584\"]\n  19 -> 25 [size =\"41155584\"]\n  19 -> 27 [size =\"41155584\"]\n  20 [size=\"113868800\", alpha=\"0.18\", expect_size=\"34160640\"] \n  20 -> 25 [size =\"34160640\"]\n  20 -> 27 [size =\"34160640\"]\n  21 [size=\"93576533\", alpha=\"0.02\", expect_size=\"28072960\"] \n  21 -> 22 [size =\"28072960\"]\n  22 [size=\"147520853\", alpha=\"0.17\", expect_size=\"44256256\"] \n  22 -> 29 [size =\"44256256\"]\n  22 -> 30 [size =\"44256256\"]\n  23 [size=\"23777280\", alpha=\"0.15\", expect_size=\"7133184\"] \n  24 [size=\"47360000\", alpha=\"0.04\", expect_size=\"14208000\"] \n  24 -> 29 [size =\"14208000\"]\n  25 [size=\"77875200\", alpha=\"0.09\", expect_size=\"23362560\"] \n  26 [size=\"164693333\", alpha=\"0.06\", expect_size=\"49408000\"] \n  26 -> 30 [size =\"49408000\"]\n  27 [size=\"81175893\", alpha=\"0.17\", expect_size=\"24352768\"] \n  27 -> 29 [size =\"24352768\"]\n  28 [size=\"59729920\", alpha=\"0.16\", expect_size=\"17918976\"] \n  28 -> 30 [size =\"17918976\"]\n  29 [size=\"153842347\", alpha=\"0.01\", expect_size=\"46152704\"] \n  30 [size=\"129952427\", alpha=\"0.02\", expect_size=\"38985728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53739520\", alpha=\"0.09\", expect_size=\"16121856\"] \n  1 -> 21 [size =\"16121856\"]\n  1 -> 24 [size =\"16121856\"]\n  1 -> 27 [size =\"16121856\"]\n  1 -> 28 [size =\"16121856\"]\n  2 [size=\"152169813\", alpha=\"0.13\", expect_size=\"45650944\"] \n  2 -> 21 [size =\"45650944\"]\n  2 -> 22 [size =\"45650944\"]\n  2 -> 24 [size =\"45650944\"]\n  2 -> 25 [size =\"45650944\"]\n  3 [size=\"110878720\", alpha=\"0.04\", expect_size=\"33263616\"] \n  3 -> 21 [size =\"33263616\"]\n  3 -> 25 [size =\"33263616\"]\n  3 -> 26 [size =\"33263616\"]\n  3 -> 27 [size =\"33263616\"]\n  3 -> 29 [size =\"33263616\"]\n  4 [size=\"31064747\", alpha=\"0.15\", expect_size=\"9319424\"] \n  5 [size=\"19575467\", alpha=\"0.11\", expect_size=\"5872640\"] \n  5 -> 24 [size =\"5872640\"]\n  5 -> 26 [size =\"5872640\"]\n  5 -> 30 [size =\"5872640\"]\n  6 [size=\"83333120\", alpha=\"0.05\", expect_size=\"24999936\"] \n  6 -> 21 [size =\"24999936\"]\n  6 -> 24 [size =\"24999936\"]\n  6 -> 26 [size =\"24999936\"]\n  6 -> 29 [size =\"24999936\"]\n  7 [size=\"50677760\", alpha=\"0.19\", expect_size=\"15203328\"] \n  7 -> 24 [size =\"15203328\"]\n  7 -> 25 [size =\"15203328\"]\n  7 -> 30 [size =\"15203328\"]\n  8 [size=\"156651520\", alpha=\"0.18\", expect_size=\"46995456\"] \n  8 -> 21 [size =\"46995456\"]\n  8 -> 23 [size =\"46995456\"]\n  8 -> 24 [size =\"46995456\"]\n  9 [size=\"30170453\", alpha=\"0.02\", expect_size=\"9051136\"] \n  9 -> 23 [size =\"9051136\"]\n  9 -> 25 [size =\"9051136\"]\n  10 [size=\"19585707\", alpha=\"0.11\", expect_size=\"5875712\"] \n  10 -> 24 [size =\"5875712\"]\n  10 -> 27 [size =\"5875712\"]\n  10 -> 28 [size =\"5875712\"]\n  11 [size=\"166283947\", alpha=\"0.09\", expect_size=\"49885184\"] \n  11 -> 24 [size =\"49885184\"]\n  12 [size=\"79643307\", alpha=\"0.01\", expect_size=\"23892992\"] \n  12 -> 22 [size =\"23892992\"]\n  12 -> 23 [size =\"23892992\"]\n  12 -> 28 [size =\"23892992\"]\n  13 [size=\"27863040\", alpha=\"0.06\", expect_size=\"8358912\"] \n  13 -> 21 [size =\"8358912\"]\n  13 -> 22 [size =\"8358912\"]\n  13 -> 23 [size =\"8358912\"]\n  13 -> 30 [size =\"8358912\"]\n  14 [size=\"61713067\", alpha=\"0.10\", expect_size=\"18513920\"] \n  14 -> 21 [size =\"18513920\"]\n  14 -> 22 [size =\"18513920\"]\n  14 -> 24 [size =\"18513920\"]\n  14 -> 30 [size =\"18513920\"]\n  15 [size=\"19828053\", alpha=\"0.00\", expect_size=\"5948416\"] \n  15 -> 21 [size =\"5948416\"]\n  15 -> 24 [size =\"5948416\"]\n  16 [size=\"109294933\", alpha=\"0.16\", expect_size=\"32788480\"] \n  16 -> 21 [size =\"32788480\"]\n  16 -> 23 [size =\"32788480\"]\n  17 [size=\"147503787\", alpha=\"0.00\", expect_size=\"44251136\"] \n  17 -> 22 [size =\"44251136\"]\n  17 -> 23 [size =\"44251136\"]\n  18 [size=\"140581547\", alpha=\"0.09\", expect_size=\"42174464\"] \n  18 -> 23 [size =\"42174464\"]\n  18 -> 25 [size =\"42174464\"]\n  18 -> 26 [size =\"42174464\"]\n  18 -> 27 [size =\"42174464\"]\n  19 [size=\"125600427\", alpha=\"0.05\", expect_size=\"37680128\"] \n  19 -> 21 [size =\"37680128\"]\n  19 -> 25 [size =\"37680128\"]\n  19 -> 26 [size =\"37680128\"]\n  20 [size=\"145063253\", alpha=\"0.01\", expect_size=\"43518976\"] \n  20 -> 25 [size =\"43518976\"]\n  20 -> 25 [size =\"43518976\"]\n  20 -> 26 [size =\"43518976\"]\n  20 -> 27 [size =\"43518976\"]\n  20 -> 28 [size =\"43518976\"]\n  21 [size=\"78039040\", alpha=\"0.02\", expect_size=\"23411712\"] \n  22 [size=\"150927360\", alpha=\"0.00\", expect_size=\"45278208\"] \n  23 [size=\"160344747\", alpha=\"0.10\", expect_size=\"48103424\"] \n  24 [size=\"53957973\", alpha=\"0.02\", expect_size=\"16187392\"] \n  25 [size=\"136304640\", alpha=\"0.14\", expect_size=\"40891392\"] \n  26 [size=\"137577813\", alpha=\"0.14\", expect_size=\"41273344\"] \n  27 [size=\"102331733\", alpha=\"0.18\", expect_size=\"30699520\"] \n  28 [size=\"103441067\", alpha=\"0.01\", expect_size=\"31032320\"] \n  29 [size=\"171373227\", alpha=\"0.04\", expect_size=\"51411968\"] \n  30 [size=\"52821333\", alpha=\"0.09\", expect_size=\"15846400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17707520\", alpha=\"0.15\", expect_size=\"7083008\"] \n  1 -> 7 [size =\"7083008\"]\n  1 -> 8 [size =\"7083008\"]\n  2 [size=\"26754560\", alpha=\"0.10\", expect_size=\"10701824\"] \n  2 -> 6 [size =\"10701824\"]\n  2 -> 8 [size =\"10701824\"]\n  3 [size=\"30031360\", alpha=\"0.12\", expect_size=\"12012544\"] \n  4 [size=\"69332480\", alpha=\"0.11\", expect_size=\"27732992\"] \n  4 -> 6 [size =\"27732992\"]\n  4 -> 7 [size =\"27732992\"]\n  5 [size=\"121016320\", alpha=\"0.12\", expect_size=\"48406528\"] \n  5 -> 7 [size =\"48406528\"]\n  6 [size=\"19338240\", alpha=\"0.16\", expect_size=\"7735296\"] \n  6 -> 9 [size =\"7735296\"]\n  6 -> 10 [size =\"7735296\"]\n  6 -> 11 [size =\"7735296\"]\n  7 [size=\"103936000\", alpha=\"0.09\", expect_size=\"41574400\"] \n  7 -> 9 [size =\"41574400\"]\n  7 -> 10 [size =\"41574400\"]\n  7 -> 11 [size =\"41574400\"]\n  7 -> 12 [size =\"41574400\"]\n  7 -> 13 [size =\"41574400\"]\n  8 [size=\"78978560\", alpha=\"0.16\", expect_size=\"31591424\"] \n  8 -> 9 [size =\"31591424\"]\n  8 -> 10 [size =\"31591424\"]\n  8 -> 11 [size =\"31591424\"]\n  9 [size=\"39185920\", alpha=\"0.12\", expect_size=\"15674368\"] \n  9 -> 14 [size =\"15674368\"]\n  9 -> 15 [size =\"15674368\"]\n  9 -> 16 [size =\"15674368\"]\n  10 [size=\"71984640\", alpha=\"0.01\", expect_size=\"28793856\"] \n  10 -> 15 [size =\"28793856\"]\n  10 -> 15 [size =\"28793856\"]\n  10 -> 16 [size =\"28793856\"]\n  11 [size=\"68385280\", alpha=\"0.04\", expect_size=\"27354112\"] \n  11 -> 15 [size =\"27354112\"]\n  11 -> 16 [size =\"27354112\"]\n  12 [size=\"39027200\", alpha=\"0.09\", expect_size=\"15610880\"] \n  12 -> 17 [size =\"15610880\"]\n  13 [size=\"96632320\", alpha=\"0.06\", expect_size=\"38652928\"] \n  13 -> 15 [size =\"38652928\"]\n  14 [size=\"51233280\", alpha=\"0.20\", expect_size=\"20493312\"] \n  14 -> 20 [size =\"20493312\"]\n  14 -> 21 [size =\"20493312\"]\n  14 -> 22 [size =\"20493312\"]\n  14 -> 23 [size =\"20493312\"]\n  15 [size=\"116999680\", alpha=\"0.15\", expect_size=\"46799872\"] \n  15 -> 19 [size =\"46799872\"]\n  15 -> 20 [size =\"46799872\"]\n  15 -> 21 [size =\"46799872\"]\n  15 -> 22 [size =\"46799872\"]\n  16 [size=\"71523840\", alpha=\"0.18\", expect_size=\"28609536\"] \n  16 -> 18 [size =\"28609536\"]\n  16 -> 20 [size =\"28609536\"]\n  16 -> 21 [size =\"28609536\"]\n  16 -> 22 [size =\"28609536\"]\n  16 -> 23 [size =\"28609536\"]\n  17 [size=\"47846400\", alpha=\"0.05\", expect_size=\"19138560\"] \n  17 -> 20 [size =\"19138560\"]\n  17 -> 21 [size =\"19138560\"]\n  17 -> 22 [size =\"19138560\"]\n  17 -> 23 [size =\"19138560\"]\n  17 -> 23 [size =\"19138560\"]\n  18 [size=\"98403840\", alpha=\"0.20\", expect_size=\"39361536\"] \n  18 -> 24 [size =\"39361536\"]\n  18 -> 25 [size =\"39361536\"]\n  18 -> 27 [size =\"39361536\"]\n  19 [size=\"75491840\", alpha=\"0.15\", expect_size=\"30196736\"] \n  19 -> 24 [size =\"30196736\"]\n  19 -> 25 [size =\"30196736\"]\n  19 -> 26 [size =\"30196736\"]\n  19 -> 27 [size =\"30196736\"]\n  20 [size=\"27307520\", alpha=\"0.08\", expect_size=\"10923008\"] \n  20 -> 24 [size =\"10923008\"]\n  20 -> 25 [size =\"10923008\"]\n  20 -> 27 [size =\"10923008\"]\n  21 [size=\"31290880\", alpha=\"0.03\", expect_size=\"12516352\"] \n  21 -> 26 [size =\"12516352\"]\n  21 -> 27 [size =\"12516352\"]\n  22 [size=\"54535680\", alpha=\"0.19\", expect_size=\"21814272\"] \n  22 -> 24 [size =\"21814272\"]\n  22 -> 25 [size =\"21814272\"]\n  22 -> 26 [size =\"21814272\"]\n  22 -> 27 [size =\"21814272\"]\n  23 [size=\"105651200\", alpha=\"0.19\", expect_size=\"42260480\"] \n  23 -> 26 [size =\"42260480\"]\n  24 [size=\"21306880\", alpha=\"0.08\", expect_size=\"8522752\"] \n  24 -> 28 [size =\"8522752\"]\n  24 -> 29 [size =\"8522752\"]\n  24 -> 30 [size =\"8522752\"]\n  25 [size=\"20183040\", alpha=\"0.15\", expect_size=\"8073216\"] \n  25 -> 28 [size =\"8073216\"]\n  25 -> 29 [size =\"8073216\"]\n  25 -> 30 [size =\"8073216\"]\n  26 [size=\"107586560\", alpha=\"0.04\", expect_size=\"43034624\"] \n  26 -> 28 [size =\"43034624\"]\n  26 -> 29 [size =\"43034624\"]\n  26 -> 30 [size =\"43034624\"]\n  27 [size=\"98667520\", alpha=\"0.07\", expect_size=\"39467008\"] \n  27 -> 28 [size =\"39467008\"]\n  27 -> 29 [size =\"39467008\"]\n  27 -> 30 [size =\"39467008\"]\n  28 [size=\"129674240\", alpha=\"0.02\", expect_size=\"51869696\"] \n  29 [size=\"128663040\", alpha=\"0.02\", expect_size=\"51465216\"] \n  30 [size=\"97822720\", alpha=\"0.11\", expect_size=\"39129088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68556800\", alpha=\"0.18\", expect_size=\"34278400\"] \n  1 -> 11 [size =\"34278400\"]\n  1 -> 12 [size =\"34278400\"]\n  1 -> 13 [size =\"34278400\"]\n  1 -> 15 [size =\"34278400\"]\n  1 -> 20 [size =\"34278400\"]\n  2 [size=\"23840768\", alpha=\"0.04\", expect_size=\"11920384\"] \n  2 -> 9 [size =\"11920384\"]\n  2 -> 11 [size =\"11920384\"]\n  2 -> 16 [size =\"11920384\"]\n  3 [size=\"81993728\", alpha=\"0.04\", expect_size=\"40996864\"] \n  3 -> 9 [size =\"40996864\"]\n  3 -> 10 [size =\"40996864\"]\n  3 -> 12 [size =\"40996864\"]\n  3 -> 14 [size =\"40996864\"]\n  3 -> 15 [size =\"40996864\"]\n  3 -> 16 [size =\"40996864\"]\n  3 -> 17 [size =\"40996864\"]\n  3 -> 18 [size =\"40996864\"]\n  3 -> 20 [size =\"40996864\"]\n  4 [size=\"103657472\", alpha=\"0.16\", expect_size=\"51828736\"] \n  4 -> 9 [size =\"51828736\"]\n  4 -> 10 [size =\"51828736\"]\n  4 -> 11 [size =\"51828736\"]\n  4 -> 13 [size =\"51828736\"]\n  4 -> 14 [size =\"51828736\"]\n  4 -> 15 [size =\"51828736\"]\n  4 -> 16 [size =\"51828736\"]\n  4 -> 20 [size =\"51828736\"]\n  5 [size=\"102131712\", alpha=\"0.05\", expect_size=\"51065856\"] \n  5 -> 9 [size =\"51065856\"]\n  5 -> 10 [size =\"51065856\"]\n  5 -> 11 [size =\"51065856\"]\n  6 [size=\"62007296\", alpha=\"0.05\", expect_size=\"31003648\"] \n  6 -> 12 [size =\"31003648\"]\n  6 -> 13 [size =\"31003648\"]\n  6 -> 20 [size =\"31003648\"]\n  7 [size=\"101400576\", alpha=\"0.11\", expect_size=\"50700288\"] \n  7 -> 9 [size =\"50700288\"]\n  7 -> 10 [size =\"50700288\"]\n  7 -> 11 [size =\"50700288\"]\n  7 -> 13 [size =\"50700288\"]\n  7 -> 14 [size =\"50700288\"]\n  7 -> 16 [size =\"50700288\"]\n  7 -> 19 [size =\"50700288\"]\n  7 -> 20 [size =\"50700288\"]\n  8 [size=\"85413888\", alpha=\"0.16\", expect_size=\"42706944\"] \n  8 -> 9 [size =\"42706944\"]\n  8 -> 10 [size =\"42706944\"]\n  8 -> 11 [size =\"42706944\"]\n  8 -> 14 [size =\"42706944\"]\n  8 -> 15 [size =\"42706944\"]\n  8 -> 16 [size =\"42706944\"]\n  8 -> 17 [size =\"42706944\"]\n  8 -> 19 [size =\"42706944\"]\n  8 -> 20 [size =\"42706944\"]\n  9 [size=\"65062912\", alpha=\"0.18\", expect_size=\"32531456\"] \n  9 -> 25 [size =\"32531456\"]\n  10 [size=\"87797760\", alpha=\"0.02\", expect_size=\"43898880\"] \n  10 -> 27 [size =\"43898880\"]\n  10 -> 28 [size =\"43898880\"]\n  11 [size=\"86728704\", alpha=\"0.02\", expect_size=\"43364352\"] \n  11 -> 23 [size =\"43364352\"]\n  11 -> 24 [size =\"43364352\"]\n  11 -> 28 [size =\"43364352\"]\n  12 [size=\"77266944\", alpha=\"0.14\", expect_size=\"38633472\"] \n  12 -> 27 [size =\"38633472\"]\n  13 [size=\"94699520\", alpha=\"0.12\", expect_size=\"47349760\"] \n  13 -> 24 [size =\"47349760\"]\n  13 -> 28 [size =\"47349760\"]\n  14 [size=\"19519488\", alpha=\"0.11\", expect_size=\"9759744\"] \n  14 -> 24 [size =\"9759744\"]\n  15 [size=\"92999680\", alpha=\"0.15\", expect_size=\"46499840\"] \n  15 -> 21 [size =\"46499840\"]\n  15 -> 24 [size =\"46499840\"]\n  15 -> 25 [size =\"46499840\"]\n  15 -> 27 [size =\"46499840\"]\n  15 -> 28 [size =\"46499840\"]\n  16 [size=\"20213760\", alpha=\"0.17\", expect_size=\"10106880\"] \n  16 -> 22 [size =\"10106880\"]\n  16 -> 26 [size =\"10106880\"]\n  16 -> 28 [size =\"10106880\"]\n  17 [size=\"43390976\", alpha=\"0.11\", expect_size=\"21695488\"] \n  17 -> 24 [size =\"21695488\"]\n  17 -> 25 [size =\"21695488\"]\n  17 -> 26 [size =\"21695488\"]\n  18 [size=\"96634880\", alpha=\"0.03\", expect_size=\"48317440\"] \n  18 -> 24 [size =\"48317440\"]\n  18 -> 25 [size =\"48317440\"]\n  18 -> 27 [size =\"48317440\"]\n  18 -> 28 [size =\"48317440\"]\n  19 [size=\"75931648\", alpha=\"0.04\", expect_size=\"37965824\"] \n  19 -> 24 [size =\"37965824\"]\n  19 -> 26 [size =\"37965824\"]\n  19 -> 28 [size =\"37965824\"]\n  20 [size=\"64669696\", alpha=\"0.06\", expect_size=\"32334848\"] \n  20 -> 22 [size =\"32334848\"]\n  21 [size=\"76007424\", alpha=\"0.19\", expect_size=\"38003712\"] \n  22 [size=\"83111936\", alpha=\"0.15\", expect_size=\"41555968\"] \n  22 -> 29 [size =\"41555968\"]\n  22 -> 30 [size =\"41555968\"]\n  23 [size=\"53862400\", alpha=\"0.07\", expect_size=\"26931200\"] \n  24 [size=\"14039040\", alpha=\"0.18\", expect_size=\"7019520\"] \n  24 -> 29 [size =\"7019520\"]\n  25 [size=\"64989184\", alpha=\"0.08\", expect_size=\"32494592\"] \n  25 -> 29 [size =\"32494592\"]\n  26 [size=\"43149312\", alpha=\"0.10\", expect_size=\"21574656\"] \n  26 -> 29 [size =\"21574656\"]\n  27 [size=\"26914816\", alpha=\"0.11\", expect_size=\"13457408\"] \n  28 [size=\"79054848\", alpha=\"0.07\", expect_size=\"39527424\"] \n  28 -> 29 [size =\"39527424\"]\n  29 [size=\"94464000\", alpha=\"0.15\", expect_size=\"47232000\"] \n  30 [size=\"21231616\", alpha=\"0.20\", expect_size=\"10615808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53770240\", alpha=\"0.02\", expect_size=\"21508096\"] \n  1 -> 3 [size =\"21508096\"]\n  2 [size=\"38650880\", alpha=\"0.12\", expect_size=\"15460352\"] \n  2 -> 3 [size =\"15460352\"]\n  3 [size=\"24071680\", alpha=\"0.19\", expect_size=\"9628672\"] \n  3 -> 4 [size =\"9628672\"]\n  4 [size=\"28188160\", alpha=\"0.14\", expect_size=\"11275264\"] \n  4 -> 5 [size =\"11275264\"]\n  4 -> 6 [size =\"11275264\"]\n  5 [size=\"109450240\", alpha=\"0.15\", expect_size=\"43780096\"] \n  6 [size=\"52439040\", alpha=\"0.03\", expect_size=\"20975616\"] \n  6 -> 7 [size =\"20975616\"]\n  7 [size=\"38179840\", alpha=\"0.03\", expect_size=\"15271936\"] \n  7 -> 8 [size =\"15271936\"]\n  8 [size=\"112007680\", alpha=\"0.16\", expect_size=\"44803072\"] \n  8 -> 9 [size =\"44803072\"]\n  8 -> 10 [size =\"44803072\"]\n  9 [size=\"68293120\", alpha=\"0.14\", expect_size=\"27317248\"] \n  9 -> 11 [size =\"27317248\"]\n  10 [size=\"50429440\", alpha=\"0.17\", expect_size=\"20171776\"] \n  10 -> 11 [size =\"20171776\"]\n  11 [size=\"94228480\", alpha=\"0.05\", expect_size=\"37691392\"] \n  11 -> 12 [size =\"37691392\"]\n  11 -> 13 [size =\"37691392\"]\n  12 [size=\"107550720\", alpha=\"0.11\", expect_size=\"43020288\"] \n  12 -> 14 [size =\"43020288\"]\n  12 -> 15 [size =\"43020288\"]\n  13 [size=\"62115840\", alpha=\"0.10\", expect_size=\"24846336\"] \n  13 -> 14 [size =\"24846336\"]\n  14 [size=\"57530880\", alpha=\"0.01\", expect_size=\"23012352\"] \n  14 -> 16 [size =\"23012352\"]\n  14 -> 17 [size =\"23012352\"]\n  15 [size=\"21278720\", alpha=\"0.13\", expect_size=\"8511488\"] \n  15 -> 16 [size =\"8511488\"]\n  15 -> 17 [size =\"8511488\"]\n  16 [size=\"111848960\", alpha=\"0.13\", expect_size=\"44739584\"] \n  17 [size=\"130690560\", alpha=\"0.00\", expect_size=\"52276224\"] \n  17 -> 18 [size =\"52276224\"]\n  17 -> 19 [size =\"52276224\"]\n  18 [size=\"29742080\", alpha=\"0.05\", expect_size=\"11896832\"] \n  18 -> 20 [size =\"11896832\"]\n  18 -> 21 [size =\"11896832\"]\n  19 [size=\"126983680\", alpha=\"0.12\", expect_size=\"50793472\"] \n  19 -> 20 [size =\"50793472\"]\n  19 -> 21 [size =\"50793472\"]\n  20 [size=\"92456960\", alpha=\"0.18\", expect_size=\"36982784\"] \n  20 -> 22 [size =\"36982784\"]\n  21 [size=\"75840000\", alpha=\"0.11\", expect_size=\"30336000\"] \n  21 -> 22 [size =\"30336000\"]\n  22 [size=\"103431680\", alpha=\"0.09\", expect_size=\"41372672\"] \n  22 -> 23 [size =\"41372672\"]\n  22 -> 24 [size =\"41372672\"]\n  23 [size=\"51991040\", alpha=\"0.08\", expect_size=\"20796416\"] \n  23 -> 25 [size =\"20796416\"]\n  23 -> 26 [size =\"20796416\"]\n  24 [size=\"112133120\", alpha=\"0.10\", expect_size=\"44853248\"] \n  24 -> 25 [size =\"44853248\"]\n  25 [size=\"118720000\", alpha=\"0.08\", expect_size=\"47488000\"] \n  25 -> 28 [size =\"47488000\"]\n  26 [size=\"77017600\", alpha=\"0.13\", expect_size=\"30807040\"] \n  26 -> 27 [size =\"30807040\"]\n  26 -> 28 [size =\"30807040\"]\n  27 [size=\"33884160\", alpha=\"0.02\", expect_size=\"13553664\"] \n  27 -> 29 [size =\"13553664\"]\n  28 [size=\"36006400\", alpha=\"0.08\", expect_size=\"14402560\"] \n  28 -> 29 [size =\"14402560\"]\n  29 [size=\"68354560\", alpha=\"0.03\", expect_size=\"27341824\"] \n  29 -> 30 [size =\"27341824\"]\n  30 [size=\"21181440\", alpha=\"0.05\", expect_size=\"8472576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35604480\", alpha=\"0.12\", expect_size=\"17802240\"] \n  1 -> 12 [size =\"17802240\"]\n  1 -> 15 [size =\"17802240\"]\n  1 -> 16 [size =\"17802240\"]\n  1 -> 17 [size =\"17802240\"]\n  1 -> 20 [size =\"17802240\"]\n  1 -> 21 [size =\"17802240\"]\n  2 [size=\"56434688\", alpha=\"0.06\", expect_size=\"28217344\"] \n  2 -> 10 [size =\"28217344\"]\n  3 [size=\"47558656\", alpha=\"0.19\", expect_size=\"23779328\"] \n  3 -> 12 [size =\"23779328\"]\n  3 -> 17 [size =\"23779328\"]\n  4 [size=\"74160128\", alpha=\"0.15\", expect_size=\"37080064\"] \n  4 -> 11 [size =\"37080064\"]\n  4 -> 12 [size =\"37080064\"]\n  4 -> 13 [size =\"37080064\"]\n  4 -> 14 [size =\"37080064\"]\n  4 -> 17 [size =\"37080064\"]\n  4 -> 19 [size =\"37080064\"]\n  4 -> 20 [size =\"37080064\"]\n  4 -> 21 [size =\"37080064\"]\n  5 [size=\"90632192\", alpha=\"0.05\", expect_size=\"45316096\"] \n  5 -> 11 [size =\"45316096\"]\n  5 -> 12 [size =\"45316096\"]\n  5 -> 16 [size =\"45316096\"]\n  5 -> 17 [size =\"45316096\"]\n  5 -> 20 [size =\"45316096\"]\n  6 [size=\"73775104\", alpha=\"0.14\", expect_size=\"36887552\"] \n  6 -> 11 [size =\"36887552\"]\n  6 -> 17 [size =\"36887552\"]\n  6 -> 19 [size =\"36887552\"]\n  6 -> 20 [size =\"36887552\"]\n  7 [size=\"22272000\", alpha=\"0.12\", expect_size=\"11136000\"] \n  7 -> 11 [size =\"11136000\"]\n  7 -> 16 [size =\"11136000\"]\n  7 -> 18 [size =\"11136000\"]\n  7 -> 20 [size =\"11136000\"]\n  8 [size=\"62842880\", alpha=\"0.17\", expect_size=\"31421440\"] \n  8 -> 12 [size =\"31421440\"]\n  8 -> 16 [size =\"31421440\"]\n  9 [size=\"87566336\", alpha=\"0.09\", expect_size=\"43783168\"] \n  9 -> 10 [size =\"43783168\"]\n  9 -> 12 [size =\"43783168\"]\n  9 -> 13 [size =\"43783168\"]\n  9 -> 15 [size =\"43783168\"]\n  9 -> 16 [size =\"43783168\"]\n  9 -> 17 [size =\"43783168\"]\n  9 -> 18 [size =\"43783168\"]\n  10 [size=\"31539200\", alpha=\"0.12\", expect_size=\"15769600\"] \n  10 -> 23 [size =\"15769600\"]\n  10 -> 26 [size =\"15769600\"]\n  11 [size=\"93614080\", alpha=\"0.09\", expect_size=\"46807040\"] \n  11 -> 27 [size =\"46807040\"]\n  12 [size=\"56068096\", alpha=\"0.11\", expect_size=\"28034048\"] \n  13 [size=\"84037632\", alpha=\"0.01\", expect_size=\"42018816\"] \n  13 -> 23 [size =\"42018816\"]\n  14 [size=\"77756416\", alpha=\"0.18\", expect_size=\"38878208\"] \n  14 -> 24 [size =\"38878208\"]\n  15 [size=\"56008704\", alpha=\"0.12\", expect_size=\"28004352\"] \n  15 -> 22 [size =\"28004352\"]\n  15 -> 25 [size =\"28004352\"]\n  16 [size=\"80529408\", alpha=\"0.12\", expect_size=\"40264704\"] \n  16 -> 25 [size =\"40264704\"]\n  17 [size=\"54480896\", alpha=\"0.14\", expect_size=\"27240448\"] \n  17 -> 24 [size =\"27240448\"]\n  17 -> 26 [size =\"27240448\"]\n  17 -> 28 [size =\"27240448\"]\n  18 [size=\"14573568\", alpha=\"0.11\", expect_size=\"7286784\"] \n  18 -> 22 [size =\"7286784\"]\n  18 -> 24 [size =\"7286784\"]\n  18 -> 25 [size =\"7286784\"]\n  19 [size=\"95340544\", alpha=\"0.05\", expect_size=\"47670272\"] \n  19 -> 22 [size =\"47670272\"]\n  19 -> 24 [size =\"47670272\"]\n  19 -> 25 [size =\"47670272\"]\n  20 [size=\"41463808\", alpha=\"0.16\", expect_size=\"20731904\"] \n  20 -> 22 [size =\"20731904\"]\n  20 -> 23 [size =\"20731904\"]\n  20 -> 24 [size =\"20731904\"]\n  20 -> 27 [size =\"20731904\"]\n  21 [size=\"99049472\", alpha=\"0.12\", expect_size=\"49524736\"] \n  21 -> 22 [size =\"49524736\"]\n  21 -> 23 [size =\"49524736\"]\n  21 -> 25 [size =\"49524736\"]\n  21 -> 29 [size =\"49524736\"]\n  22 [size=\"46645248\", alpha=\"0.18\", expect_size=\"23322624\"] \n  22 -> 30 [size =\"23322624\"]\n  23 [size=\"97724416\", alpha=\"0.12\", expect_size=\"48862208\"] \n  24 [size=\"102103040\", alpha=\"0.19\", expect_size=\"51051520\"] \n  25 [size=\"94001152\", alpha=\"0.04\", expect_size=\"47000576\"] \n  26 [size=\"55910400\", alpha=\"0.02\", expect_size=\"27955200\"] \n  27 [size=\"19869696\", alpha=\"0.02\", expect_size=\"9934848\"] \n  28 [size=\"85272576\", alpha=\"0.13\", expect_size=\"42636288\"] \n  29 [size=\"43915264\", alpha=\"0.01\", expect_size=\"21957632\"] \n  30 [size=\"66498560\", alpha=\"0.13\", expect_size=\"33249280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167918933\", alpha=\"0.14\", expect_size=\"50375680\"] \n  1 -> 7 [size =\"50375680\"]\n  1 -> 8 [size =\"50375680\"]\n  1 -> 8 [size =\"50375680\"]\n  1 -> 9 [size =\"50375680\"]\n  2 [size=\"85640533\", alpha=\"0.09\", expect_size=\"25692160\"] \n  2 -> 6 [size =\"25692160\"]\n  2 -> 7 [size =\"25692160\"]\n  2 -> 8 [size =\"25692160\"]\n  2 -> 9 [size =\"25692160\"]\n  3 [size=\"163010560\", alpha=\"0.11\", expect_size=\"48903168\"] \n  3 -> 7 [size =\"48903168\"]\n  3 -> 8 [size =\"48903168\"]\n  3 -> 9 [size =\"48903168\"]\n  4 [size=\"135010987\", alpha=\"0.14\", expect_size=\"40503296\"] \n  4 -> 6 [size =\"40503296\"]\n  4 -> 9 [size =\"40503296\"]\n  5 [size=\"169690453\", alpha=\"0.05\", expect_size=\"50907136\"] \n  5 -> 6 [size =\"50907136\"]\n  5 -> 7 [size =\"50907136\"]\n  5 -> 8 [size =\"50907136\"]\n  5 -> 9 [size =\"50907136\"]\n  6 [size=\"37055147\", alpha=\"0.04\", expect_size=\"11116544\"] \n  6 -> 10 [size =\"11116544\"]\n  6 -> 11 [size =\"11116544\"]\n  7 [size=\"164389547\", alpha=\"0.06\", expect_size=\"49316864\"] \n  7 -> 10 [size =\"49316864\"]\n  7 -> 11 [size =\"49316864\"]\n  8 [size=\"58187093\", alpha=\"0.10\", expect_size=\"17456128\"] \n  9 [size=\"167379627\", alpha=\"0.14\", expect_size=\"50213888\"] \n  9 -> 11 [size =\"50213888\"]\n  9 -> 12 [size =\"50213888\"]\n  10 [size=\"128641707\", alpha=\"0.02\", expect_size=\"38592512\"] \n  10 -> 13 [size =\"38592512\"]\n  10 -> 14 [size =\"38592512\"]\n  10 -> 16 [size =\"38592512\"]\n  11 [size=\"113223680\", alpha=\"0.15\", expect_size=\"33967104\"] \n  11 -> 13 [size =\"33967104\"]\n  11 -> 15 [size =\"33967104\"]\n  11 -> 18 [size =\"33967104\"]\n  12 [size=\"68198400\", alpha=\"0.01\", expect_size=\"20459520\"] \n  12 -> 13 [size =\"20459520\"]\n  12 -> 14 [size =\"20459520\"]\n  12 -> 16 [size =\"20459520\"]\n  12 -> 17 [size =\"20459520\"]\n  12 -> 18 [size =\"20459520\"]\n  13 [size=\"136325120\", alpha=\"0.18\", expect_size=\"40897536\"] \n  13 -> 19 [size =\"40897536\"]\n  13 -> 21 [size =\"40897536\"]\n  13 -> 25 [size =\"40897536\"]\n  14 [size=\"67112960\", alpha=\"0.08\", expect_size=\"20133888\"] \n  14 -> 19 [size =\"20133888\"]\n  14 -> 21 [size =\"20133888\"]\n  14 -> 22 [size =\"20133888\"]\n  14 -> 24 [size =\"20133888\"]\n  14 -> 25 [size =\"20133888\"]\n  15 [size=\"22657707\", alpha=\"0.05\", expect_size=\"6797312\"] \n  15 -> 19 [size =\"6797312\"]\n  15 -> 20 [size =\"6797312\"]\n  15 -> 21 [size =\"6797312\"]\n  15 -> 22 [size =\"6797312\"]\n  15 -> 24 [size =\"6797312\"]\n  15 -> 25 [size =\"6797312\"]\n  16 [size=\"59716267\", alpha=\"0.03\", expect_size=\"17914880\"] \n  16 -> 19 [size =\"17914880\"]\n  16 -> 21 [size =\"17914880\"]\n  16 -> 22 [size =\"17914880\"]\n  16 -> 23 [size =\"17914880\"]\n  16 -> 24 [size =\"17914880\"]\n  16 -> 25 [size =\"17914880\"]\n  17 [size=\"93440000\", alpha=\"0.02\", expect_size=\"28032000\"] \n  17 -> 22 [size =\"28032000\"]\n  18 [size=\"143970987\", alpha=\"0.06\", expect_size=\"43191296\"] \n  18 -> 19 [size =\"43191296\"]\n  18 -> 21 [size =\"43191296\"]\n  18 -> 25 [size =\"43191296\"]\n  19 [size=\"64621227\", alpha=\"0.20\", expect_size=\"19386368\"] \n  19 -> 27 [size =\"19386368\"]\n  19 -> 29 [size =\"19386368\"]\n  20 [size=\"172786347\", alpha=\"0.12\", expect_size=\"51835904\"] \n  20 -> 26 [size =\"51835904\"]\n  20 -> 27 [size =\"51835904\"]\n  20 -> 28 [size =\"51835904\"]\n  21 [size=\"34969600\", alpha=\"0.03\", expect_size=\"10490880\"] \n  21 -> 27 [size =\"10490880\"]\n  21 -> 28 [size =\"10490880\"]\n  21 -> 28 [size =\"10490880\"]\n  21 -> 29 [size =\"10490880\"]\n  22 [size=\"152111787\", alpha=\"0.02\", expect_size=\"45633536\"] \n  22 -> 27 [size =\"45633536\"]\n  22 -> 28 [size =\"45633536\"]\n  23 [size=\"160877227\", alpha=\"0.01\", expect_size=\"48263168\"] \n  23 -> 26 [size =\"48263168\"]\n  24 [size=\"141533867\", alpha=\"0.14\", expect_size=\"42460160\"] \n  24 -> 26 [size =\"42460160\"]\n  24 -> 28 [size =\"42460160\"]\n  25 [size=\"43233280\", alpha=\"0.06\", expect_size=\"12969984\"] \n  25 -> 27 [size =\"12969984\"]\n  26 [size=\"82810880\", alpha=\"0.02\", expect_size=\"24843264\"] \n  26 -> 30 [size =\"24843264\"]\n  27 [size=\"110103893\", alpha=\"0.15\", expect_size=\"33031168\"] \n  28 [size=\"122702507\", alpha=\"0.14\", expect_size=\"36810752\"] \n  28 -> 30 [size =\"36810752\"]\n  29 [size=\"171953493\", alpha=\"0.12\", expect_size=\"51586048\"] \n  29 -> 30 [size =\"51586048\"]\n  30 [size=\"168727893\", alpha=\"0.04\", expect_size=\"50618368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90212352\", alpha=\"0.13\", expect_size=\"45106176\"] \n  1 -> 3 [size =\"45106176\"]\n  2 [size=\"74158080\", alpha=\"0.07\", expect_size=\"37079040\"] \n  3 [size=\"30658560\", alpha=\"0.17\", expect_size=\"15329280\"] \n  3 -> 4 [size =\"15329280\"]\n  4 [size=\"79337472\", alpha=\"0.03\", expect_size=\"39668736\"] \n  4 -> 5 [size =\"39668736\"]\n  5 [size=\"13105152\", alpha=\"0.09\", expect_size=\"6552576\"] \n  5 -> 6 [size =\"6552576\"]\n  6 [size=\"96026624\", alpha=\"0.20\", expect_size=\"48013312\"] \n  6 -> 7 [size =\"48013312\"]\n  6 -> 8 [size =\"48013312\"]\n  7 [size=\"70850560\", alpha=\"0.09\", expect_size=\"35425280\"] \n  7 -> 9 [size =\"35425280\"]\n  8 [size=\"36540416\", alpha=\"0.09\", expect_size=\"18270208\"] \n  9 [size=\"18296832\", alpha=\"0.02\", expect_size=\"9148416\"] \n  9 -> 10 [size =\"9148416\"]\n  9 -> 11 [size =\"9148416\"]\n  10 [size=\"68249600\", alpha=\"0.07\", expect_size=\"34124800\"] \n  10 -> 13 [size =\"34124800\"]\n  11 [size=\"23412736\", alpha=\"0.18\", expect_size=\"11706368\"] \n  11 -> 12 [size =\"11706368\"]\n  11 -> 13 [size =\"11706368\"]\n  12 [size=\"86503424\", alpha=\"0.06\", expect_size=\"43251712\"] \n  12 -> 14 [size =\"43251712\"]\n  13 [size=\"23429120\", alpha=\"0.15\", expect_size=\"11714560\"] \n  14 [size=\"10915840\", alpha=\"0.02\", expect_size=\"5457920\"] \n  14 -> 15 [size =\"5457920\"]\n  15 [size=\"23029760\", alpha=\"0.17\", expect_size=\"11514880\"] \n  15 -> 16 [size =\"11514880\"]\n  15 -> 17 [size =\"11514880\"]\n  16 [size=\"63602688\", alpha=\"0.15\", expect_size=\"31801344\"] \n  17 [size=\"61562880\", alpha=\"0.00\", expect_size=\"30781440\"] \n  17 -> 18 [size =\"30781440\"]\n  18 [size=\"102412288\", alpha=\"0.10\", expect_size=\"51206144\"] \n  18 -> 19 [size =\"51206144\"]\n  19 [size=\"51843072\", alpha=\"0.10\", expect_size=\"25921536\"] \n  19 -> 20 [size =\"25921536\"]\n  19 -> 21 [size =\"25921536\"]\n  20 [size=\"59146240\", alpha=\"0.01\", expect_size=\"29573120\"] \n  21 [size=\"94246912\", alpha=\"0.10\", expect_size=\"47123456\"] \n  21 -> 22 [size =\"47123456\"]\n  22 [size=\"85327872\", alpha=\"0.12\", expect_size=\"42663936\"] \n  22 -> 23 [size =\"42663936\"]\n  22 -> 24 [size =\"42663936\"]\n  23 [size=\"19449856\", alpha=\"0.18\", expect_size=\"9724928\"] \n  23 -> 25 [size =\"9724928\"]\n  24 [size=\"90220544\", alpha=\"0.19\", expect_size=\"45110272\"] \n  24 -> 26 [size =\"45110272\"]\n  25 [size=\"100526080\", alpha=\"0.00\", expect_size=\"50263040\"] \n  25 -> 27 [size =\"50263040\"]\n  25 -> 28 [size =\"50263040\"]\n  26 [size=\"87564288\", alpha=\"0.20\", expect_size=\"43782144\"] \n  27 [size=\"63066112\", alpha=\"0.12\", expect_size=\"31533056\"] \n  27 -> 29 [size =\"31533056\"]\n  28 [size=\"63205376\", alpha=\"0.10\", expect_size=\"31602688\"] \n  28 -> 29 [size =\"31602688\"]\n  29 [size=\"15892480\", alpha=\"0.10\", expect_size=\"7946240\"] \n  29 -> 30 [size =\"7946240\"]\n  30 [size=\"60753920\", alpha=\"0.01\", expect_size=\"30376960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171226453\", alpha=\"0.12\", expect_size=\"51367936\"] \n  1 -> 2 [size =\"51367936\"]\n  2 [size=\"77742080\", alpha=\"0.15\", expect_size=\"23322624\"] \n  2 -> 3 [size =\"23322624\"]\n  3 [size=\"49865387\", alpha=\"0.08\", expect_size=\"14959616\"] \n  3 -> 4 [size =\"14959616\"]\n  4 [size=\"25808213\", alpha=\"0.08\", expect_size=\"7742464\"] \n  4 -> 5 [size =\"7742464\"]\n  5 [size=\"20070400\", alpha=\"0.11\", expect_size=\"6021120\"] \n  5 -> 6 [size =\"6021120\"]\n  6 [size=\"66283520\", alpha=\"0.00\", expect_size=\"19885056\"] \n  6 -> 7 [size =\"19885056\"]\n  7 [size=\"76113920\", alpha=\"0.13\", expect_size=\"22834176\"] \n  7 -> 8 [size =\"22834176\"]\n  8 [size=\"25026560\", alpha=\"0.12\", expect_size=\"7507968\"] \n  8 -> 9 [size =\"7507968\"]\n  9 [size=\"90705920\", alpha=\"0.09\", expect_size=\"27211776\"] \n  9 -> 10 [size =\"27211776\"]\n  10 [size=\"131519147\", alpha=\"0.12\", expect_size=\"39455744\"] \n  10 -> 11 [size =\"39455744\"]\n  11 [size=\"132355413\", alpha=\"0.18\", expect_size=\"39706624\"] \n  11 -> 12 [size =\"39706624\"]\n  12 [size=\"68631893\", alpha=\"0.14\", expect_size=\"20589568\"] \n  12 -> 13 [size =\"20589568\"]\n  13 [size=\"32078507\", alpha=\"0.18\", expect_size=\"9623552\"] \n  13 -> 14 [size =\"9623552\"]\n  14 [size=\"96563200\", alpha=\"0.02\", expect_size=\"28968960\"] \n  14 -> 15 [size =\"28968960\"]\n  15 [size=\"157637973\", alpha=\"0.08\", expect_size=\"47291392\"] \n  15 -> 16 [size =\"47291392\"]\n  16 [size=\"83602773\", alpha=\"0.12\", expect_size=\"25080832\"] \n  16 -> 17 [size =\"25080832\"]\n  17 [size=\"85712213\", alpha=\"0.15\", expect_size=\"25713664\"] \n  17 -> 18 [size =\"25713664\"]\n  18 [size=\"29272747\", alpha=\"0.18\", expect_size=\"8781824\"] \n  18 -> 19 [size =\"8781824\"]\n  19 [size=\"122402133\", alpha=\"0.04\", expect_size=\"36720640\"] \n  19 -> 20 [size =\"36720640\"]\n  20 [size=\"37710507\", alpha=\"0.02\", expect_size=\"11313152\"] \n  20 -> 21 [size =\"11313152\"]\n  21 [size=\"134000640\", alpha=\"0.00\", expect_size=\"40200192\"] \n  21 -> 22 [size =\"40200192\"]\n  22 [size=\"117405013\", alpha=\"0.06\", expect_size=\"35221504\"] \n  22 -> 23 [size =\"35221504\"]\n  23 [size=\"72663040\", alpha=\"0.15\", expect_size=\"21798912\"] \n  23 -> 24 [size =\"21798912\"]\n  24 [size=\"55040000\", alpha=\"0.06\", expect_size=\"16512000\"] \n  24 -> 25 [size =\"16512000\"]\n  25 [size=\"73748480\", alpha=\"0.17\", expect_size=\"22124544\"] \n  25 -> 26 [size =\"22124544\"]\n  26 [size=\"135949653\", alpha=\"0.14\", expect_size=\"40784896\"] \n  26 -> 27 [size =\"40784896\"]\n  27 [size=\"69690027\", alpha=\"0.18\", expect_size=\"20907008\"] \n  27 -> 28 [size =\"20907008\"]\n  28 [size=\"32259413\", alpha=\"0.04\", expect_size=\"9677824\"] \n  28 -> 29 [size =\"9677824\"]\n  29 [size=\"17974613\", alpha=\"0.19\", expect_size=\"5392384\"] \n  29 -> 30 [size =\"5392384\"]\n  30 [size=\"49814187\", alpha=\"0.08\", expect_size=\"14944256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27441152\", alpha=\"0.10\", expect_size=\"13720576\"] \n  1 -> 2 [size =\"13720576\"]\n  2 [size=\"27959296\", alpha=\"0.01\", expect_size=\"13979648\"] \n  2 -> 3 [size =\"13979648\"]\n  3 [size=\"99493888\", alpha=\"0.16\", expect_size=\"49746944\"] \n  3 -> 4 [size =\"49746944\"]\n  4 [size=\"47628288\", alpha=\"0.05\", expect_size=\"23814144\"] \n  4 -> 5 [size =\"23814144\"]\n  5 [size=\"73889792\", alpha=\"0.20\", expect_size=\"36944896\"] \n  5 -> 6 [size =\"36944896\"]\n  6 [size=\"99014656\", alpha=\"0.07\", expect_size=\"49507328\"] \n  6 -> 7 [size =\"49507328\"]\n  7 [size=\"59207680\", alpha=\"0.15\", expect_size=\"29603840\"] \n  7 -> 8 [size =\"29603840\"]\n  8 [size=\"87945216\", alpha=\"0.02\", expect_size=\"43972608\"] \n  8 -> 9 [size =\"43972608\"]\n  9 [size=\"101285888\", alpha=\"0.08\", expect_size=\"50642944\"] \n  9 -> 10 [size =\"50642944\"]\n  10 [size=\"21712896\", alpha=\"0.14\", expect_size=\"10856448\"] \n  10 -> 11 [size =\"10856448\"]\n  11 [size=\"78929920\", alpha=\"0.17\", expect_size=\"39464960\"] \n  11 -> 12 [size =\"39464960\"]\n  12 [size=\"33300480\", alpha=\"0.14\", expect_size=\"16650240\"] \n  12 -> 13 [size =\"16650240\"]\n  13 [size=\"38078464\", alpha=\"0.01\", expect_size=\"19039232\"] \n  13 -> 14 [size =\"19039232\"]\n  14 [size=\"16846848\", alpha=\"0.03\", expect_size=\"8423424\"] \n  14 -> 15 [size =\"8423424\"]\n  15 [size=\"41625600\", alpha=\"0.12\", expect_size=\"20812800\"] \n  15 -> 16 [size =\"20812800\"]\n  16 [size=\"41189376\", alpha=\"0.17\", expect_size=\"20594688\"] \n  16 -> 17 [size =\"20594688\"]\n  17 [size=\"72200192\", alpha=\"0.10\", expect_size=\"36100096\"] \n  17 -> 18 [size =\"36100096\"]\n  18 [size=\"49840128\", alpha=\"0.03\", expect_size=\"24920064\"] \n  18 -> 19 [size =\"24920064\"]\n  19 [size=\"59205632\", alpha=\"0.19\", expect_size=\"29602816\"] \n  19 -> 20 [size =\"29602816\"]\n  20 [size=\"97228800\", alpha=\"0.14\", expect_size=\"48614400\"] \n  20 -> 21 [size =\"48614400\"]\n  21 [size=\"69797888\", alpha=\"0.12\", expect_size=\"34898944\"] \n  21 -> 22 [size =\"34898944\"]\n  22 [size=\"56434688\", alpha=\"0.14\", expect_size=\"28217344\"] \n  22 -> 23 [size =\"28217344\"]\n  23 [size=\"26193920\", alpha=\"0.15\", expect_size=\"13096960\"] \n  23 -> 24 [size =\"13096960\"]\n  24 [size=\"32421888\", alpha=\"0.04\", expect_size=\"16210944\"] \n  24 -> 25 [size =\"16210944\"]\n  25 [size=\"48533504\", alpha=\"0.07\", expect_size=\"24266752\"] \n  25 -> 26 [size =\"24266752\"]\n  26 [size=\"11948032\", alpha=\"0.08\", expect_size=\"5974016\"] \n  26 -> 27 [size =\"5974016\"]\n  27 [size=\"93728768\", alpha=\"0.20\", expect_size=\"46864384\"] \n  27 -> 28 [size =\"46864384\"]\n  28 [size=\"45752320\", alpha=\"0.07\", expect_size=\"22876160\"] \n  28 -> 29 [size =\"22876160\"]\n  29 [size=\"61861888\", alpha=\"0.15\", expect_size=\"30930944\"] \n  29 -> 30 [size =\"30930944\"]\n  30 [size=\"55586816\", alpha=\"0.04\", expect_size=\"27793408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114012160\", alpha=\"0.08\", expect_size=\"34203648\"] \n  1 -> 24 [size =\"34203648\"]\n  2 [size=\"49421653\", alpha=\"0.16\", expect_size=\"14826496\"] \n  2 -> 22 [size =\"14826496\"]\n  2 -> 23 [size =\"14826496\"]\n  3 [size=\"106410667\", alpha=\"0.10\", expect_size=\"31923200\"] \n  3 -> 22 [size =\"31923200\"]\n  3 -> 23 [size =\"31923200\"]\n  3 -> 28 [size =\"31923200\"]\n  4 [size=\"112913067\", alpha=\"0.07\", expect_size=\"33873920\"] \n  4 -> 22 [size =\"33873920\"]\n  4 -> 23 [size =\"33873920\"]\n  4 -> 28 [size =\"33873920\"]\n  5 [size=\"136212480\", alpha=\"0.04\", expect_size=\"40863744\"] \n  5 -> 22 [size =\"40863744\"]\n  6 [size=\"35256320\", alpha=\"0.05\", expect_size=\"10576896\"] \n  6 -> 22 [size =\"10576896\"]\n  6 -> 23 [size =\"10576896\"]\n  6 -> 28 [size =\"10576896\"]\n  7 [size=\"167932587\", alpha=\"0.05\", expect_size=\"50379776\"] \n  7 -> 23 [size =\"50379776\"]\n  8 [size=\"157788160\", alpha=\"0.05\", expect_size=\"47336448\"] \n  8 -> 22 [size =\"47336448\"]\n  8 -> 23 [size =\"47336448\"]\n  8 -> 28 [size =\"47336448\"]\n  9 [size=\"31027200\", alpha=\"0.00\", expect_size=\"9308160\"] \n  9 -> 29 [size =\"9308160\"]\n  10 [size=\"56067413\", alpha=\"0.11\", expect_size=\"16820224\"] \n  10 -> 23 [size =\"16820224\"]\n  10 -> 29 [size =\"16820224\"]\n  11 [size=\"93528747\", alpha=\"0.08\", expect_size=\"28058624\"] \n  11 -> 23 [size =\"28058624\"]\n  12 [size=\"157129387\", alpha=\"0.13\", expect_size=\"47138816\"] \n  12 -> 22 [size =\"47138816\"]\n  12 -> 23 [size =\"47138816\"]\n  12 -> 25 [size =\"47138816\"]\n  12 -> 28 [size =\"47138816\"]\n  12 -> 29 [size =\"47138816\"]\n  13 [size=\"128348160\", alpha=\"0.01\", expect_size=\"38504448\"] \n  13 -> 23 [size =\"38504448\"]\n  13 -> 25 [size =\"38504448\"]\n  13 -> 28 [size =\"38504448\"]\n  14 [size=\"51210240\", alpha=\"0.04\", expect_size=\"15363072\"] \n  14 -> 27 [size =\"15363072\"]\n  15 [size=\"104704000\", alpha=\"0.19\", expect_size=\"31411200\"] \n  15 -> 27 [size =\"31411200\"]\n  16 [size=\"136314880\", alpha=\"0.04\", expect_size=\"40894464\"] \n  16 -> 22 [size =\"40894464\"]\n  16 -> 24 [size =\"40894464\"]\n  16 -> 27 [size =\"40894464\"]\n  17 [size=\"20503893\", alpha=\"0.08\", expect_size=\"6151168\"] \n  17 -> 22 [size =\"6151168\"]\n  18 [size=\"59610453\", alpha=\"0.19\", expect_size=\"17883136\"] \n  18 -> 22 [size =\"17883136\"]\n  18 -> 24 [size =\"17883136\"]\n  18 -> 26 [size =\"17883136\"]\n  18 -> 27 [size =\"17883136\"]\n  18 -> 29 [size =\"17883136\"]\n  18 -> 30 [size =\"17883136\"]\n  19 [size=\"102174720\", alpha=\"0.16\", expect_size=\"30652416\"] \n  19 -> 22 [size =\"30652416\"]\n  19 -> 24 [size =\"30652416\"]\n  19 -> 27 [size =\"30652416\"]\n  19 -> 27 [size =\"30652416\"]\n  19 -> 28 [size =\"30652416\"]\n  20 [size=\"102447787\", alpha=\"0.05\", expect_size=\"30734336\"] \n  20 -> 23 [size =\"30734336\"]\n  21 [size=\"33774933\", alpha=\"0.06\", expect_size=\"10132480\"] \n  21 -> 24 [size =\"10132480\"]\n  21 -> 28 [size =\"10132480\"]\n  22 [size=\"93306880\", alpha=\"0.11\", expect_size=\"27992064\"] \n  23 [size=\"41287680\", alpha=\"0.07\", expect_size=\"12386304\"] \n  24 [size=\"50899627\", alpha=\"0.15\", expect_size=\"15269888\"] \n  25 [size=\"83251200\", alpha=\"0.19\", expect_size=\"24975360\"] \n  26 [size=\"74431147\", alpha=\"0.04\", expect_size=\"22329344\"] \n  27 [size=\"107274240\", alpha=\"0.09\", expect_size=\"32182272\"] \n  28 [size=\"167144107\", alpha=\"0.12\", expect_size=\"50143232\"] \n  29 [size=\"156890453\", alpha=\"0.16\", expect_size=\"47067136\"] \n  30 [size=\"129157120\", alpha=\"0.06\", expect_size=\"38747136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38597120\", alpha=\"0.05\", expect_size=\"15438848\"] \n  1 -> 27 [size =\"15438848\"]\n  2 [size=\"29767680\", alpha=\"0.18\", expect_size=\"11907072\"] \n  2 -> 27 [size =\"11907072\"]\n  2 -> 28 [size =\"11907072\"]\n  3 [size=\"33428480\", alpha=\"0.11\", expect_size=\"13371392\"] \n  3 -> 28 [size =\"13371392\"]\n  3 -> 30 [size =\"13371392\"]\n  4 [size=\"63329280\", alpha=\"0.09\", expect_size=\"25331712\"] \n  5 [size=\"40535040\", alpha=\"0.11\", expect_size=\"16214016\"] \n  5 -> 27 [size =\"16214016\"]\n  5 -> 30 [size =\"16214016\"]\n  6 [size=\"29045760\", alpha=\"0.12\", expect_size=\"11618304\"] \n  6 -> 28 [size =\"11618304\"]\n  7 [size=\"24179200\", alpha=\"0.03\", expect_size=\"9671680\"] \n  7 -> 27 [size =\"9671680\"]\n  7 -> 28 [size =\"9671680\"]\n  8 [size=\"27950080\", alpha=\"0.05\", expect_size=\"11180032\"] \n  8 -> 28 [size =\"11180032\"]\n  9 [size=\"130603520\", alpha=\"0.14\", expect_size=\"52241408\"] \n  9 -> 28 [size =\"52241408\"]\n  9 -> 30 [size =\"52241408\"]\n  10 [size=\"114803200\", alpha=\"0.09\", expect_size=\"45921280\"] \n  10 -> 28 [size =\"45921280\"]\n  10 -> 30 [size =\"45921280\"]\n  11 [size=\"63239680\", alpha=\"0.18\", expect_size=\"25295872\"] \n  11 -> 28 [size =\"25295872\"]\n  11 -> 30 [size =\"25295872\"]\n  12 [size=\"95188480\", alpha=\"0.18\", expect_size=\"38075392\"] \n  12 -> 28 [size =\"38075392\"]\n  12 -> 30 [size =\"38075392\"]\n  13 [size=\"84021760\", alpha=\"0.10\", expect_size=\"33608704\"] \n  13 -> 27 [size =\"33608704\"]\n  13 -> 28 [size =\"33608704\"]\n  14 [size=\"28170240\", alpha=\"0.09\", expect_size=\"11268096\"] \n  14 -> 27 [size =\"11268096\"]\n  14 -> 28 [size =\"11268096\"]\n  14 -> 30 [size =\"11268096\"]\n  15 [size=\"80245760\", alpha=\"0.12\", expect_size=\"32098304\"] \n  15 -> 28 [size =\"32098304\"]\n  15 -> 29 [size =\"32098304\"]\n  16 [size=\"28544000\", alpha=\"0.05\", expect_size=\"11417600\"] \n  16 -> 30 [size =\"11417600\"]\n  17 [size=\"97497600\", alpha=\"0.20\", expect_size=\"38999040\"] \n  18 [size=\"115302400\", alpha=\"0.10\", expect_size=\"46120960\"] \n  18 -> 30 [size =\"46120960\"]\n  19 [size=\"23912960\", alpha=\"0.05\", expect_size=\"9565184\"] \n  19 -> 28 [size =\"9565184\"]\n  19 -> 30 [size =\"9565184\"]\n  20 [size=\"104363520\", alpha=\"0.18\", expect_size=\"41745408\"] \n  20 -> 28 [size =\"41745408\"]\n  21 [size=\"40573440\", alpha=\"0.16\", expect_size=\"16229376\"] \n  21 -> 28 [size =\"16229376\"]\n  21 -> 30 [size =\"16229376\"]\n  22 [size=\"30312960\", alpha=\"0.16\", expect_size=\"12125184\"] \n  22 -> 28 [size =\"12125184\"]\n  22 -> 30 [size =\"12125184\"]\n  23 [size=\"21329920\", alpha=\"0.19\", expect_size=\"8531968\"] \n  23 -> 28 [size =\"8531968\"]\n  24 [size=\"78243840\", alpha=\"0.11\", expect_size=\"31297536\"] \n  24 -> 28 [size =\"31297536\"]\n  24 -> 30 [size =\"31297536\"]\n  25 [size=\"128540160\", alpha=\"0.08\", expect_size=\"51416064\"] \n  25 -> 28 [size =\"51416064\"]\n  25 -> 30 [size =\"51416064\"]\n  26 [size=\"78955520\", alpha=\"0.07\", expect_size=\"31582208\"] \n  26 -> 30 [size =\"31582208\"]\n  26 -> 30 [size =\"31582208\"]\n  27 [size=\"105584640\", alpha=\"0.09\", expect_size=\"42233856\"] \n  28 [size=\"105520640\", alpha=\"0.13\", expect_size=\"42208256\"] \n  29 [size=\"47083520\", alpha=\"0.16\", expect_size=\"18833408\"] \n  30 [size=\"79441920\", alpha=\"0.17\", expect_size=\"31776768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103981056\", alpha=\"0.05\", expect_size=\"51990528\"] \n  1 -> 8 [size =\"51990528\"]\n  2 [size=\"61454336\", alpha=\"0.15\", expect_size=\"30727168\"] \n  2 -> 5 [size =\"30727168\"]\n  2 -> 7 [size =\"30727168\"]\n  3 [size=\"14145536\", alpha=\"0.01\", expect_size=\"7072768\"] \n  3 -> 6 [size =\"7072768\"]\n  4 [size=\"49915904\", alpha=\"0.11\", expect_size=\"24957952\"] \n  4 -> 8 [size =\"24957952\"]\n  5 [size=\"95428608\", alpha=\"0.08\", expect_size=\"47714304\"] \n  5 -> 12 [size =\"47714304\"]\n  6 [size=\"62138368\", alpha=\"0.09\", expect_size=\"31069184\"] \n  6 -> 10 [size =\"31069184\"]\n  6 -> 11 [size =\"31069184\"]\n  6 -> 12 [size =\"31069184\"]\n  7 [size=\"26849280\", alpha=\"0.03\", expect_size=\"13424640\"] \n  7 -> 9 [size =\"13424640\"]\n  7 -> 11 [size =\"13424640\"]\n  8 [size=\"91181056\", alpha=\"0.07\", expect_size=\"45590528\"] \n  9 [size=\"43268096\", alpha=\"0.14\", expect_size=\"21634048\"] \n  9 -> 15 [size =\"21634048\"]\n  10 [size=\"99139584\", alpha=\"0.05\", expect_size=\"49569792\"] \n  10 -> 16 [size =\"49569792\"]\n  11 [size=\"26525696\", alpha=\"0.01\", expect_size=\"13262848\"] \n  11 -> 14 [size =\"13262848\"]\n  12 [size=\"47785984\", alpha=\"0.06\", expect_size=\"23892992\"] \n  12 -> 13 [size =\"23892992\"]\n  12 -> 17 [size =\"23892992\"]\n  13 [size=\"23564288\", alpha=\"0.00\", expect_size=\"11782144\"] \n  13 -> 19 [size =\"11782144\"]\n  13 -> 20 [size =\"11782144\"]\n  14 [size=\"30056448\", alpha=\"0.03\", expect_size=\"15028224\"] \n  14 -> 20 [size =\"15028224\"]\n  15 [size=\"79886336\", alpha=\"0.08\", expect_size=\"39943168\"] \n  15 -> 21 [size =\"39943168\"]\n  16 [size=\"21071872\", alpha=\"0.15\", expect_size=\"10535936\"] \n  16 -> 18 [size =\"10535936\"]\n  16 -> 22 [size =\"10535936\"]\n  17 [size=\"64272384\", alpha=\"0.03\", expect_size=\"32136192\"] \n  18 [size=\"78665728\", alpha=\"0.12\", expect_size=\"39332864\"] \n  18 -> 23 [size =\"39332864\"]\n  18 -> 24 [size =\"39332864\"]\n  18 -> 26 [size =\"39332864\"]\n  19 [size=\"19132416\", alpha=\"0.10\", expect_size=\"9566208\"] \n  19 -> 26 [size =\"9566208\"]\n  20 [size=\"84056064\", alpha=\"0.19\", expect_size=\"42028032\"] \n  21 [size=\"14938112\", alpha=\"0.09\", expect_size=\"7469056\"] \n  21 -> 23 [size =\"7469056\"]\n  21 -> 25 [size =\"7469056\"]\n  22 [size=\"19357696\", alpha=\"0.10\", expect_size=\"9678848\"] \n  22 -> 23 [size =\"9678848\"]\n  22 -> 25 [size =\"9678848\"]\n  22 -> 26 [size =\"9678848\"]\n  22 -> 27 [size =\"9678848\"]\n  23 [size=\"46852096\", alpha=\"0.11\", expect_size=\"23426048\"] \n  23 -> 28 [size =\"23426048\"]\n  23 -> 29 [size =\"23426048\"]\n  24 [size=\"46931968\", alpha=\"0.00\", expect_size=\"23465984\"] \n  24 -> 30 [size =\"23465984\"]\n  25 [size=\"61734912\", alpha=\"0.08\", expect_size=\"30867456\"] \n  26 [size=\"98166784\", alpha=\"0.07\", expect_size=\"49083392\"] \n  26 -> 29 [size =\"49083392\"]\n  27 [size=\"73885696\", alpha=\"0.09\", expect_size=\"36942848\"] \n  27 -> 28 [size =\"36942848\"]\n  28 [size=\"87508992\", alpha=\"0.08\", expect_size=\"43754496\"] \n  29 [size=\"51396608\", alpha=\"0.14\", expect_size=\"25698304\"] \n  30 [size=\"96309248\", alpha=\"0.19\", expect_size=\"48154624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21329920\", alpha=\"0.14\", expect_size=\"6398976\"] \n  1 -> 2 [size =\"6398976\"]\n  2 [size=\"161140053\", alpha=\"0.20\", expect_size=\"48342016\"] \n  2 -> 3 [size =\"48342016\"]\n  3 [size=\"63839573\", alpha=\"0.12\", expect_size=\"19151872\"] \n  3 -> 4 [size =\"19151872\"]\n  4 [size=\"106530133\", alpha=\"0.15\", expect_size=\"31959040\"] \n  4 -> 5 [size =\"31959040\"]\n  5 [size=\"36829867\", alpha=\"0.10\", expect_size=\"11048960\"] \n  5 -> 6 [size =\"11048960\"]\n  6 [size=\"88920747\", alpha=\"0.06\", expect_size=\"26676224\"] \n  6 -> 7 [size =\"26676224\"]\n  7 [size=\"46407680\", alpha=\"0.11\", expect_size=\"13922304\"] \n  7 -> 8 [size =\"13922304\"]\n  8 [size=\"29139627\", alpha=\"0.00\", expect_size=\"8741888\"] \n  8 -> 9 [size =\"8741888\"]\n  9 [size=\"173827413\", alpha=\"0.05\", expect_size=\"52148224\"] \n  9 -> 10 [size =\"52148224\"]\n  10 [size=\"134693547\", alpha=\"0.09\", expect_size=\"40408064\"] \n  10 -> 11 [size =\"40408064\"]\n  11 [size=\"32163840\", alpha=\"0.01\", expect_size=\"9649152\"] \n  11 -> 12 [size =\"9649152\"]\n  12 [size=\"140892160\", alpha=\"0.02\", expect_size=\"42267648\"] \n  12 -> 13 [size =\"42267648\"]\n  13 [size=\"139055787\", alpha=\"0.16\", expect_size=\"41716736\"] \n  13 -> 14 [size =\"41716736\"]\n  14 [size=\"78489600\", alpha=\"0.19\", expect_size=\"23546880\"] \n  14 -> 15 [size =\"23546880\"]\n  15 [size=\"38615040\", alpha=\"0.07\", expect_size=\"11584512\"] \n  15 -> 16 [size =\"11584512\"]\n  16 [size=\"115633493\", alpha=\"0.16\", expect_size=\"34690048\"] \n  16 -> 17 [size =\"34690048\"]\n  17 [size=\"166710613\", alpha=\"0.13\", expect_size=\"50013184\"] \n  17 -> 18 [size =\"50013184\"]\n  18 [size=\"97075200\", alpha=\"0.05\", expect_size=\"29122560\"] \n  18 -> 19 [size =\"29122560\"]\n  19 [size=\"98389333\", alpha=\"0.02\", expect_size=\"29516800\"] \n  19 -> 20 [size =\"29516800\"]\n  20 [size=\"134225920\", alpha=\"0.15\", expect_size=\"40267776\"] \n  20 -> 21 [size =\"40267776\"]\n  21 [size=\"49302187\", alpha=\"0.08\", expect_size=\"14790656\"] \n  21 -> 22 [size =\"14790656\"]\n  22 [size=\"60163413\", alpha=\"0.00\", expect_size=\"18049024\"] \n  22 -> 23 [size =\"18049024\"]\n  23 [size=\"74813440\", alpha=\"0.18\", expect_size=\"22444032\"] \n  23 -> 24 [size =\"22444032\"]\n  24 [size=\"44130987\", alpha=\"0.07\", expect_size=\"13239296\"] \n  24 -> 25 [size =\"13239296\"]\n  25 [size=\"33546240\", alpha=\"0.18\", expect_size=\"10063872\"] \n  25 -> 26 [size =\"10063872\"]\n  26 [size=\"87968427\", alpha=\"0.19\", expect_size=\"26390528\"] \n  26 -> 27 [size =\"26390528\"]\n  27 [size=\"54538240\", alpha=\"0.03\", expect_size=\"16361472\"] \n  27 -> 28 [size =\"16361472\"]\n  28 [size=\"159211520\", alpha=\"0.09\", expect_size=\"47763456\"] \n  28 -> 29 [size =\"47763456\"]\n  29 [size=\"42506240\", alpha=\"0.14\", expect_size=\"12751872\"] \n  29 -> 30 [size =\"12751872\"]\n  30 [size=\"58094933\", alpha=\"0.15\", expect_size=\"17428480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95717376\", alpha=\"0.16\", expect_size=\"47858688\"] \n  1 -> 3 [size =\"47858688\"]\n  2 [size=\"74319872\", alpha=\"0.13\", expect_size=\"37159936\"] \n  2 -> 3 [size =\"37159936\"]\n  3 [size=\"23281664\", alpha=\"0.05\", expect_size=\"11640832\"] \n  3 -> 4 [size =\"11640832\"]\n  3 -> 5 [size =\"11640832\"]\n  4 [size=\"25702400\", alpha=\"0.15\", expect_size=\"12851200\"] \n  4 -> 6 [size =\"12851200\"]\n  4 -> 7 [size =\"12851200\"]\n  5 [size=\"79726592\", alpha=\"0.10\", expect_size=\"39863296\"] \n  5 -> 6 [size =\"39863296\"]\n  6 [size=\"38041600\", alpha=\"0.05\", expect_size=\"19020800\"] \n  6 -> 8 [size =\"19020800\"]\n  7 [size=\"68306944\", alpha=\"0.09\", expect_size=\"34153472\"] \n  7 -> 8 [size =\"34153472\"]\n  8 [size=\"19970048\", alpha=\"0.04\", expect_size=\"9985024\"] \n  8 -> 9 [size =\"9985024\"]\n  8 -> 10 [size =\"9985024\"]\n  9 [size=\"15955968\", alpha=\"0.08\", expect_size=\"7977984\"] \n  9 -> 11 [size =\"7977984\"]\n  10 [size=\"12177408\", alpha=\"0.07\", expect_size=\"6088704\"] \n  11 [size=\"70934528\", alpha=\"0.16\", expect_size=\"35467264\"] \n  11 -> 12 [size =\"35467264\"]\n  12 [size=\"52774912\", alpha=\"0.06\", expect_size=\"26387456\"] \n  12 -> 13 [size =\"26387456\"]\n  13 [size=\"21491712\", alpha=\"0.07\", expect_size=\"10745856\"] \n  13 -> 14 [size =\"10745856\"]\n  14 [size=\"46553088\", alpha=\"0.16\", expect_size=\"23276544\"] \n  14 -> 15 [size =\"23276544\"]\n  15 [size=\"22896640\", alpha=\"0.08\", expect_size=\"11448320\"] \n  15 -> 16 [size =\"11448320\"]\n  15 -> 17 [size =\"11448320\"]\n  16 [size=\"68452352\", alpha=\"0.08\", expect_size=\"34226176\"] \n  16 -> 18 [size =\"34226176\"]\n  16 -> 19 [size =\"34226176\"]\n  17 [size=\"90429440\", alpha=\"0.17\", expect_size=\"45214720\"] \n  17 -> 18 [size =\"45214720\"]\n  17 -> 19 [size =\"45214720\"]\n  18 [size=\"37421056\", alpha=\"0.06\", expect_size=\"18710528\"] \n  18 -> 20 [size =\"18710528\"]\n  19 [size=\"54433792\", alpha=\"0.10\", expect_size=\"27216896\"] \n  19 -> 20 [size =\"27216896\"]\n  19 -> 21 [size =\"27216896\"]\n  20 [size=\"90181632\", alpha=\"0.14\", expect_size=\"45090816\"] \n  20 -> 22 [size =\"45090816\"]\n  21 [size=\"28338176\", alpha=\"0.15\", expect_size=\"14169088\"] \n  21 -> 22 [size =\"14169088\"]\n  22 [size=\"10549248\", alpha=\"0.11\", expect_size=\"5274624\"] \n  22 -> 23 [size =\"5274624\"]\n  22 -> 24 [size =\"5274624\"]\n  23 [size=\"39434240\", alpha=\"0.08\", expect_size=\"19717120\"] \n  23 -> 25 [size =\"19717120\"]\n  23 -> 26 [size =\"19717120\"]\n  24 [size=\"74012672\", alpha=\"0.09\", expect_size=\"37006336\"] \n  24 -> 25 [size =\"37006336\"]\n  24 -> 26 [size =\"37006336\"]\n  25 [size=\"56637440\", alpha=\"0.05\", expect_size=\"28318720\"] \n  25 -> 27 [size =\"28318720\"]\n  25 -> 28 [size =\"28318720\"]\n  26 [size=\"94091264\", alpha=\"0.07\", expect_size=\"47045632\"] \n  26 -> 27 [size =\"47045632\"]\n  26 -> 28 [size =\"47045632\"]\n  27 [size=\"39604224\", alpha=\"0.00\", expect_size=\"19802112\"] \n  27 -> 29 [size =\"19802112\"]\n  27 -> 30 [size =\"19802112\"]\n  28 [size=\"23879680\", alpha=\"0.16\", expect_size=\"11939840\"] \n  28 -> 29 [size =\"11939840\"]\n  28 -> 30 [size =\"11939840\"]\n  29 [size=\"54401024\", alpha=\"0.13\", expect_size=\"27200512\"] \n  30 [size=\"103499776\", alpha=\"0.10\", expect_size=\"51749888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50526720\", alpha=\"0.11\", expect_size=\"20210688\"] \n  1 -> 10 [size =\"20210688\"]\n  1 -> 13 [size =\"20210688\"]\n  1 -> 16 [size =\"20210688\"]\n  2 [size=\"69752320\", alpha=\"0.13\", expect_size=\"27900928\"] \n  2 -> 10 [size =\"27900928\"]\n  2 -> 11 [size =\"27900928\"]\n  2 -> 12 [size =\"27900928\"]\n  2 -> 13 [size =\"27900928\"]\n  2 -> 14 [size =\"27900928\"]\n  2 -> 15 [size =\"27900928\"]\n  2 -> 18 [size =\"27900928\"]\n  3 [size=\"84398080\", alpha=\"0.15\", expect_size=\"33759232\"] \n  3 -> 10 [size =\"33759232\"]\n  4 [size=\"50572800\", alpha=\"0.18\", expect_size=\"20229120\"] \n  4 -> 11 [size =\"20229120\"]\n  4 -> 12 [size =\"20229120\"]\n  4 -> 14 [size =\"20229120\"]\n  5 [size=\"54323200\", alpha=\"0.10\", expect_size=\"21729280\"] \n  5 -> 12 [size =\"21729280\"]\n  5 -> 15 [size =\"21729280\"]\n  5 -> 16 [size =\"21729280\"]\n  5 -> 18 [size =\"21729280\"]\n  6 [size=\"41080320\", alpha=\"0.19\", expect_size=\"16432128\"] \n  6 -> 14 [size =\"16432128\"]\n  6 -> 15 [size =\"16432128\"]\n  6 -> 16 [size =\"16432128\"]\n  6 -> 18 [size =\"16432128\"]\n  7 [size=\"24235520\", alpha=\"0.13\", expect_size=\"9694208\"] \n  7 -> 11 [size =\"9694208\"]\n  7 -> 12 [size =\"9694208\"]\n  7 -> 13 [size =\"9694208\"]\n  7 -> 16 [size =\"9694208\"]\n  7 -> 18 [size =\"9694208\"]\n  8 [size=\"84933120\", alpha=\"0.14\", expect_size=\"33973248\"] \n  8 -> 11 [size =\"33973248\"]\n  8 -> 16 [size =\"33973248\"]\n  8 -> 17 [size =\"33973248\"]\n  9 [size=\"56025600\", alpha=\"0.00\", expect_size=\"22410240\"] \n  9 -> 10 [size =\"22410240\"]\n  9 -> 11 [size =\"22410240\"]\n  9 -> 13 [size =\"22410240\"]\n  9 -> 14 [size =\"22410240\"]\n  10 [size=\"90542080\", alpha=\"0.17\", expect_size=\"36216832\"] \n  10 -> 21 [size =\"36216832\"]\n  10 -> 23 [size =\"36216832\"]\n  10 -> 27 [size =\"36216832\"]\n  10 -> 27 [size =\"36216832\"]\n  11 [size=\"114439680\", alpha=\"0.01\", expect_size=\"45775872\"] \n  11 -> 21 [size =\"45775872\"]\n  11 -> 22 [size =\"45775872\"]\n  11 -> 23 [size =\"45775872\"]\n  11 -> 27 [size =\"45775872\"]\n  12 [size=\"61081600\", alpha=\"0.17\", expect_size=\"24432640\"] \n  12 -> 21 [size =\"24432640\"]\n  12 -> 22 [size =\"24432640\"]\n  12 -> 23 [size =\"24432640\"]\n  13 [size=\"21340160\", alpha=\"0.09\", expect_size=\"8536064\"] \n  13 -> 19 [size =\"8536064\"]\n  13 -> 22 [size =\"8536064\"]\n  13 -> 28 [size =\"8536064\"]\n  14 [size=\"111851520\", alpha=\"0.13\", expect_size=\"44740608\"] \n  14 -> 19 [size =\"44740608\"]\n  14 -> 23 [size =\"44740608\"]\n  14 -> 24 [size =\"44740608\"]\n  14 -> 27 [size =\"44740608\"]\n  15 [size=\"98631680\", alpha=\"0.03\", expect_size=\"39452672\"] \n  15 -> 19 [size =\"39452672\"]\n  15 -> 26 [size =\"39452672\"]\n  15 -> 28 [size =\"39452672\"]\n  16 [size=\"41966080\", alpha=\"0.15\", expect_size=\"16786432\"] \n  16 -> 19 [size =\"16786432\"]\n  16 -> 20 [size =\"16786432\"]\n  16 -> 22 [size =\"16786432\"]\n  16 -> 24 [size =\"16786432\"]\n  16 -> 26 [size =\"16786432\"]\n  17 [size=\"33576960\", alpha=\"0.10\", expect_size=\"13430784\"] \n  17 -> 19 [size =\"13430784\"]\n  17 -> 21 [size =\"13430784\"]\n  17 -> 24 [size =\"13430784\"]\n  17 -> 24 [size =\"13430784\"]\n  17 -> 25 [size =\"13430784\"]\n  17 -> 26 [size =\"13430784\"]\n  17 -> 27 [size =\"13430784\"]\n  17 -> 28 [size =\"13430784\"]\n  18 [size=\"109455360\", alpha=\"0.00\", expect_size=\"43782144\"] \n  18 -> 23 [size =\"43782144\"]\n  18 -> 24 [size =\"43782144\"]\n  18 -> 24 [size =\"43782144\"]\n  18 -> 27 [size =\"43782144\"]\n  19 [size=\"71150080\", alpha=\"0.12\", expect_size=\"28460032\"] \n  19 -> 29 [size =\"28460032\"]\n  19 -> 30 [size =\"28460032\"]\n  20 [size=\"71608320\", alpha=\"0.13\", expect_size=\"28643328\"] \n  20 -> 29 [size =\"28643328\"]\n  20 -> 30 [size =\"28643328\"]\n  21 [size=\"53560320\", alpha=\"0.01\", expect_size=\"21424128\"] \n  21 -> 30 [size =\"21424128\"]\n  22 [size=\"58764800\", alpha=\"0.18\", expect_size=\"23505920\"] \n  22 -> 29 [size =\"23505920\"]\n  22 -> 30 [size =\"23505920\"]\n  23 [size=\"43056640\", alpha=\"0.07\", expect_size=\"17222656\"] \n  23 -> 29 [size =\"17222656\"]\n  23 -> 30 [size =\"17222656\"]\n  24 [size=\"94978560\", alpha=\"0.03\", expect_size=\"37991424\"] \n  25 [size=\"51427840\", alpha=\"0.05\", expect_size=\"20571136\"] \n  26 [size=\"67450880\", alpha=\"0.13\", expect_size=\"26980352\"] \n  27 [size=\"39127040\", alpha=\"0.02\", expect_size=\"15650816\"] \n  27 -> 29 [size =\"15650816\"]\n  27 -> 30 [size =\"15650816\"]\n  28 [size=\"99471360\", alpha=\"0.03\", expect_size=\"39788544\"] \n  29 [size=\"100526080\", alpha=\"0.12\", expect_size=\"40210432\"] \n  30 [size=\"54138880\", alpha=\"0.14\", expect_size=\"21655552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52084736\", alpha=\"0.04\", expect_size=\"26042368\"] \n  1 -> 18 [size =\"26042368\"]\n  1 -> 22 [size =\"26042368\"]\n  1 -> 30 [size =\"26042368\"]\n  2 [size=\"22730752\", alpha=\"0.01\", expect_size=\"11365376\"] \n  2 -> 15 [size =\"11365376\"]\n  2 -> 18 [size =\"11365376\"]\n  2 -> 20 [size =\"11365376\"]\n  2 -> 21 [size =\"11365376\"]\n  2 -> 22 [size =\"11365376\"]\n  2 -> 23 [size =\"11365376\"]\n  2 -> 24 [size =\"11365376\"]\n  2 -> 28 [size =\"11365376\"]\n  3 [size=\"50415616\", alpha=\"0.02\", expect_size=\"25207808\"] \n  3 -> 19 [size =\"25207808\"]\n  3 -> 23 [size =\"25207808\"]\n  3 -> 24 [size =\"25207808\"]\n  3 -> 28 [size =\"25207808\"]\n  4 [size=\"46780416\", alpha=\"0.18\", expect_size=\"23390208\"] \n  4 -> 15 [size =\"23390208\"]\n  4 -> 16 [size =\"23390208\"]\n  4 -> 17 [size =\"23390208\"]\n  4 -> 19 [size =\"23390208\"]\n  4 -> 22 [size =\"23390208\"]\n  4 -> 29 [size =\"23390208\"]\n  4 -> 30 [size =\"23390208\"]\n  5 [size=\"72691712\", alpha=\"0.04\", expect_size=\"36345856\"] \n  5 -> 15 [size =\"36345856\"]\n  6 [size=\"12015616\", alpha=\"0.01\", expect_size=\"6007808\"] \n  6 -> 15 [size =\"6007808\"]\n  6 -> 22 [size =\"6007808\"]\n  6 -> 26 [size =\"6007808\"]\n  6 -> 28 [size =\"6007808\"]\n  7 [size=\"33925120\", alpha=\"0.20\", expect_size=\"16962560\"] \n  7 -> 15 [size =\"16962560\"]\n  7 -> 17 [size =\"16962560\"]\n  7 -> 24 [size =\"16962560\"]\n  7 -> 25 [size =\"16962560\"]\n  7 -> 26 [size =\"16962560\"]\n  7 -> 27 [size =\"16962560\"]\n  7 -> 28 [size =\"16962560\"]\n  8 [size=\"54820864\", alpha=\"0.01\", expect_size=\"27410432\"] \n  8 -> 17 [size =\"27410432\"]\n  8 -> 27 [size =\"27410432\"]\n  8 -> 28 [size =\"27410432\"]\n  9 [size=\"94334976\", alpha=\"0.10\", expect_size=\"47167488\"] \n  9 -> 16 [size =\"47167488\"]\n  9 -> 18 [size =\"47167488\"]\n  9 -> 19 [size =\"47167488\"]\n  9 -> 22 [size =\"47167488\"]\n  9 -> 25 [size =\"47167488\"]\n  10 [size=\"75788288\", alpha=\"0.10\", expect_size=\"37894144\"] \n  10 -> 16 [size =\"37894144\"]\n  10 -> 19 [size =\"37894144\"]\n  10 -> 20 [size =\"37894144\"]\n  10 -> 24 [size =\"37894144\"]\n  11 [size=\"102344704\", alpha=\"0.17\", expect_size=\"51172352\"] \n  11 -> 15 [size =\"51172352\"]\n  11 -> 16 [size =\"51172352\"]\n  11 -> 19 [size =\"51172352\"]\n  11 -> 20 [size =\"51172352\"]\n  11 -> 30 [size =\"51172352\"]\n  12 [size=\"24772608\", alpha=\"0.02\", expect_size=\"12386304\"] \n  12 -> 16 [size =\"12386304\"]\n  12 -> 16 [size =\"12386304\"]\n  12 -> 20 [size =\"12386304\"]\n  12 -> 20 [size =\"12386304\"]\n  12 -> 22 [size =\"12386304\"]\n  12 -> 24 [size =\"12386304\"]\n  12 -> 25 [size =\"12386304\"]\n  12 -> 28 [size =\"12386304\"]\n  13 [size=\"30582784\", alpha=\"0.09\", expect_size=\"15291392\"] \n  13 -> 17 [size =\"15291392\"]\n  13 -> 20 [size =\"15291392\"]\n  13 -> 22 [size =\"15291392\"]\n  13 -> 23 [size =\"15291392\"]\n  14 [size=\"41240576\", alpha=\"0.10\", expect_size=\"20620288\"] \n  14 -> 18 [size =\"20620288\"]\n  14 -> 19 [size =\"20620288\"]\n  14 -> 20 [size =\"20620288\"]\n  14 -> 24 [size =\"20620288\"]\n  15 [size=\"32630784\", alpha=\"0.06\", expect_size=\"16315392\"] \n  16 [size=\"51296256\", alpha=\"0.13\", expect_size=\"25648128\"] \n  17 [size=\"55361536\", alpha=\"0.14\", expect_size=\"27680768\"] \n  18 [size=\"53346304\", alpha=\"0.05\", expect_size=\"26673152\"] \n  19 [size=\"57300992\", alpha=\"0.06\", expect_size=\"28650496\"] \n  20 [size=\"11819008\", alpha=\"0.10\", expect_size=\"5909504\"] \n  21 [size=\"60993536\", alpha=\"0.03\", expect_size=\"30496768\"] \n  22 [size=\"47421440\", alpha=\"0.18\", expect_size=\"23710720\"] \n  23 [size=\"58427392\", alpha=\"0.02\", expect_size=\"29213696\"] \n  24 [size=\"99756032\", alpha=\"0.13\", expect_size=\"49878016\"] \n  25 [size=\"52041728\", alpha=\"0.18\", expect_size=\"26020864\"] \n  26 [size=\"78983168\", alpha=\"0.03\", expect_size=\"39491584\"] \n  27 [size=\"48058368\", alpha=\"0.13\", expect_size=\"24029184\"] \n  28 [size=\"18483200\", alpha=\"0.12\", expect_size=\"9241600\"] \n  29 [size=\"43165696\", alpha=\"0.09\", expect_size=\"21582848\"] \n  30 [size=\"71000064\", alpha=\"0.00\", expect_size=\"35500032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41417387\", alpha=\"0.20\", expect_size=\"12425216\"] \n  1 -> 10 [size =\"12425216\"]\n  2 [size=\"116968107\", alpha=\"0.17\", expect_size=\"35090432\"] \n  3 [size=\"19544747\", alpha=\"0.14\", expect_size=\"5863424\"] \n  3 -> 6 [size =\"5863424\"]\n  3 -> 8 [size =\"5863424\"]\n  3 -> 9 [size =\"5863424\"]\n  3 -> 10 [size =\"5863424\"]\n  4 [size=\"27241813\", alpha=\"0.16\", expect_size=\"8172544\"] \n  5 [size=\"75383467\", alpha=\"0.13\", expect_size=\"22615040\"] \n  5 -> 7 [size =\"22615040\"]\n  5 -> 8 [size =\"22615040\"]\n  6 [size=\"156856320\", alpha=\"0.01\", expect_size=\"47056896\"] \n  6 -> 11 [size =\"47056896\"]\n  6 -> 12 [size =\"47056896\"]\n  7 [size=\"17947307\", alpha=\"0.09\", expect_size=\"5384192\"] \n  7 -> 15 [size =\"5384192\"]\n  8 [size=\"128587093\", alpha=\"0.19\", expect_size=\"38576128\"] \n  8 -> 15 [size =\"38576128\"]\n  9 [size=\"84667733\", alpha=\"0.10\", expect_size=\"25400320\"] \n  9 -> 14 [size =\"25400320\"]\n  9 -> 15 [size =\"25400320\"]\n  10 [size=\"159645013\", alpha=\"0.11\", expect_size=\"47893504\"] \n  10 -> 13 [size =\"47893504\"]\n  10 -> 14 [size =\"47893504\"]\n  11 [size=\"78527147\", alpha=\"0.02\", expect_size=\"23558144\"] \n  11 -> 16 [size =\"23558144\"]\n  11 -> 17 [size =\"23558144\"]\n  12 [size=\"77407573\", alpha=\"0.16\", expect_size=\"23222272\"] \n  12 -> 16 [size =\"23222272\"]\n  12 -> 17 [size =\"23222272\"]\n  12 -> 19 [size =\"23222272\"]\n  13 [size=\"55702187\", alpha=\"0.09\", expect_size=\"16710656\"] \n  13 -> 16 [size =\"16710656\"]\n  13 -> 18 [size =\"16710656\"]\n  13 -> 19 [size =\"16710656\"]\n  14 [size=\"168011093\", alpha=\"0.10\", expect_size=\"50403328\"] \n  14 -> 18 [size =\"50403328\"]\n  15 [size=\"133085867\", alpha=\"0.08\", expect_size=\"39925760\"] \n  16 [size=\"74680320\", alpha=\"0.12\", expect_size=\"22404096\"] \n  16 -> 23 [size =\"22404096\"]\n  17 [size=\"81186133\", alpha=\"0.09\", expect_size=\"24355840\"] \n  17 -> 21 [size =\"24355840\"]\n  17 -> 24 [size =\"24355840\"]\n  18 [size=\"149340160\", alpha=\"0.05\", expect_size=\"44802048\"] \n  18 -> 20 [size =\"44802048\"]\n  18 -> 22 [size =\"44802048\"]\n  19 [size=\"139813547\", alpha=\"0.14\", expect_size=\"41944064\"] \n  19 -> 21 [size =\"41944064\"]\n  19 -> 23 [size =\"41944064\"]\n  20 [size=\"59217920\", alpha=\"0.13\", expect_size=\"17765376\"] \n  20 -> 25 [size =\"17765376\"]\n  20 -> 26 [size =\"17765376\"]\n  21 [size=\"147514027\", alpha=\"0.16\", expect_size=\"44254208\"] \n  21 -> 26 [size =\"44254208\"]\n  21 -> 27 [size =\"44254208\"]\n  22 [size=\"162952533\", alpha=\"0.11\", expect_size=\"48885760\"] \n  22 -> 25 [size =\"48885760\"]\n  22 -> 26 [size =\"48885760\"]\n  22 -> 27 [size =\"48885760\"]\n  23 [size=\"133003947\", alpha=\"0.07\", expect_size=\"39901184\"] \n  24 [size=\"47339520\", alpha=\"0.04\", expect_size=\"14201856\"] \n  24 -> 25 [size =\"14201856\"]\n  25 [size=\"126603947\", alpha=\"0.08\", expect_size=\"37981184\"] \n  26 [size=\"32433493\", alpha=\"0.10\", expect_size=\"9730048\"] \n  26 -> 28 [size =\"9730048\"]\n  26 -> 29 [size =\"9730048\"]\n  26 -> 30 [size =\"9730048\"]\n  27 [size=\"129638400\", alpha=\"0.12\", expect_size=\"38891520\"] \n  27 -> 30 [size =\"38891520\"]\n  28 [size=\"40168107\", alpha=\"0.08\", expect_size=\"12050432\"] \n  29 [size=\"80500053\", alpha=\"0.12\", expect_size=\"24150016\"] \n  30 [size=\"31699627\", alpha=\"0.15\", expect_size=\"9509888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32271360\", alpha=\"0.08\", expect_size=\"12908544\"] \n  1 -> 2 [size =\"12908544\"]\n  2 [size=\"50216960\", alpha=\"0.16\", expect_size=\"20086784\"] \n  2 -> 3 [size =\"20086784\"]\n  3 [size=\"51868160\", alpha=\"0.01\", expect_size=\"20747264\"] \n  3 -> 4 [size =\"20747264\"]\n  4 [size=\"128102400\", alpha=\"0.04\", expect_size=\"51240960\"] \n  4 -> 5 [size =\"51240960\"]\n  5 [size=\"14103040\", alpha=\"0.06\", expect_size=\"5641216\"] \n  5 -> 6 [size =\"5641216\"]\n  6 [size=\"88102400\", alpha=\"0.05\", expect_size=\"35240960\"] \n  6 -> 7 [size =\"35240960\"]\n  7 [size=\"38003200\", alpha=\"0.18\", expect_size=\"15201280\"] \n  7 -> 8 [size =\"15201280\"]\n  8 [size=\"42741760\", alpha=\"0.04\", expect_size=\"17096704\"] \n  8 -> 9 [size =\"17096704\"]\n  9 [size=\"37662720\", alpha=\"0.13\", expect_size=\"15065088\"] \n  9 -> 10 [size =\"15065088\"]\n  10 [size=\"64857600\", alpha=\"0.11\", expect_size=\"25943040\"] \n  10 -> 11 [size =\"25943040\"]\n  11 [size=\"59023360\", alpha=\"0.17\", expect_size=\"23609344\"] \n  11 -> 12 [size =\"23609344\"]\n  12 [size=\"104371200\", alpha=\"0.06\", expect_size=\"41748480\"] \n  12 -> 13 [size =\"41748480\"]\n  13 [size=\"80614400\", alpha=\"0.09\", expect_size=\"32245760\"] \n  13 -> 14 [size =\"32245760\"]\n  14 [size=\"85365760\", alpha=\"0.05\", expect_size=\"34146304\"] \n  14 -> 15 [size =\"34146304\"]\n  15 [size=\"107878400\", alpha=\"0.04\", expect_size=\"43151360\"] \n  15 -> 16 [size =\"43151360\"]\n  16 [size=\"26048000\", alpha=\"0.16\", expect_size=\"10419200\"] \n  16 -> 17 [size =\"10419200\"]\n  17 [size=\"53166080\", alpha=\"0.01\", expect_size=\"21266432\"] \n  17 -> 18 [size =\"21266432\"]\n  18 [size=\"43658240\", alpha=\"0.01\", expect_size=\"17463296\"] \n  18 -> 19 [size =\"17463296\"]\n  19 [size=\"68206080\", alpha=\"0.10\", expect_size=\"27282432\"] \n  19 -> 20 [size =\"27282432\"]\n  20 [size=\"28756480\", alpha=\"0.06\", expect_size=\"11502592\"] \n  20 -> 21 [size =\"11502592\"]\n  21 [size=\"93831680\", alpha=\"0.05\", expect_size=\"37532672\"] \n  21 -> 22 [size =\"37532672\"]\n  22 [size=\"78914560\", alpha=\"0.10\", expect_size=\"31565824\"] \n  22 -> 23 [size =\"31565824\"]\n  23 [size=\"115517440\", alpha=\"0.02\", expect_size=\"46206976\"] \n  23 -> 24 [size =\"46206976\"]\n  24 [size=\"50726400\", alpha=\"0.14\", expect_size=\"20290560\"] \n  24 -> 25 [size =\"20290560\"]\n  25 [size=\"80261120\", alpha=\"0.05\", expect_size=\"32104448\"] \n  25 -> 26 [size =\"32104448\"]\n  26 [size=\"105146880\", alpha=\"0.09\", expect_size=\"42058752\"] \n  26 -> 27 [size =\"42058752\"]\n  27 [size=\"81602560\", alpha=\"0.18\", expect_size=\"32641024\"] \n  27 -> 28 [size =\"32641024\"]\n  28 [size=\"87406080\", alpha=\"0.12\", expect_size=\"34962432\"] \n  28 -> 29 [size =\"34962432\"]\n  29 [size=\"90849280\", alpha=\"0.09\", expect_size=\"36339712\"] \n  29 -> 30 [size =\"36339712\"]\n  30 [size=\"32212480\", alpha=\"0.16\", expect_size=\"12884992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34899968\", alpha=\"0.06\", expect_size=\"17449984\"] \n  1 -> 26 [size =\"17449984\"]\n  1 -> 27 [size =\"17449984\"]\n  1 -> 30 [size =\"17449984\"]\n  2 [size=\"100800512\", alpha=\"0.17\", expect_size=\"50400256\"] \n  2 -> 26 [size =\"50400256\"]\n  2 -> 27 [size =\"50400256\"]\n  3 [size=\"34902016\", alpha=\"0.03\", expect_size=\"17451008\"] \n  3 -> 25 [size =\"17451008\"]\n  3 -> 26 [size =\"17451008\"]\n  3 -> 28 [size =\"17451008\"]\n  4 [size=\"91559936\", alpha=\"0.04\", expect_size=\"45779968\"] \n  4 -> 30 [size =\"45779968\"]\n  5 [size=\"68280320\", alpha=\"0.06\", expect_size=\"34140160\"] \n  5 -> 26 [size =\"34140160\"]\n  5 -> 28 [size =\"34140160\"]\n  5 -> 30 [size =\"34140160\"]\n  6 [size=\"20496384\", alpha=\"0.00\", expect_size=\"10248192\"] \n  6 -> 25 [size =\"10248192\"]\n  6 -> 26 [size =\"10248192\"]\n  6 -> 27 [size =\"10248192\"]\n  6 -> 30 [size =\"10248192\"]\n  7 [size=\"28186624\", alpha=\"0.14\", expect_size=\"14093312\"] \n  7 -> 26 [size =\"14093312\"]\n  7 -> 26 [size =\"14093312\"]\n  7 -> 27 [size =\"14093312\"]\n  8 [size=\"76775424\", alpha=\"0.09\", expect_size=\"38387712\"] \n  8 -> 26 [size =\"38387712\"]\n  8 -> 27 [size =\"38387712\"]\n  8 -> 27 [size =\"38387712\"]\n  8 -> 28 [size =\"38387712\"]\n  8 -> 30 [size =\"38387712\"]\n  9 [size=\"25028608\", alpha=\"0.02\", expect_size=\"12514304\"] \n  9 -> 26 [size =\"12514304\"]\n  9 -> 27 [size =\"12514304\"]\n  9 -> 30 [size =\"12514304\"]\n  10 [size=\"18352128\", alpha=\"0.15\", expect_size=\"9176064\"] \n  10 -> 26 [size =\"9176064\"]\n  10 -> 27 [size =\"9176064\"]\n  11 [size=\"90212352\", alpha=\"0.10\", expect_size=\"45106176\"] \n  11 -> 25 [size =\"45106176\"]\n  11 -> 26 [size =\"45106176\"]\n  11 -> 27 [size =\"45106176\"]\n  11 -> 30 [size =\"45106176\"]\n  12 [size=\"22659072\", alpha=\"0.09\", expect_size=\"11329536\"] \n  12 -> 25 [size =\"11329536\"]\n  13 [size=\"101384192\", alpha=\"0.15\", expect_size=\"50692096\"] \n  13 -> 25 [size =\"50692096\"]\n  13 -> 27 [size =\"50692096\"]\n  14 [size=\"23320576\", alpha=\"0.15\", expect_size=\"11660288\"] \n  14 -> 25 [size =\"11660288\"]\n  14 -> 27 [size =\"11660288\"]\n  14 -> 28 [size =\"11660288\"]\n  15 [size=\"44390400\", alpha=\"0.06\", expect_size=\"22195200\"] \n  15 -> 25 [size =\"22195200\"]\n  15 -> 26 [size =\"22195200\"]\n  15 -> 27 [size =\"22195200\"]\n  15 -> 30 [size =\"22195200\"]\n  16 [size=\"71970816\", alpha=\"0.07\", expect_size=\"35985408\"] \n  16 -> 25 [size =\"35985408\"]\n  16 -> 26 [size =\"35985408\"]\n  16 -> 27 [size =\"35985408\"]\n  16 -> 30 [size =\"35985408\"]\n  17 [size=\"73875456\", alpha=\"0.14\", expect_size=\"36937728\"] \n  17 -> 25 [size =\"36937728\"]\n  17 -> 26 [size =\"36937728\"]\n  17 -> 27 [size =\"36937728\"]\n  17 -> 30 [size =\"36937728\"]\n  18 [size=\"45856768\", alpha=\"0.03\", expect_size=\"22928384\"] \n  18 -> 26 [size =\"22928384\"]\n  18 -> 26 [size =\"22928384\"]\n  18 -> 30 [size =\"22928384\"]\n  19 [size=\"86161408\", alpha=\"0.17\", expect_size=\"43080704\"] \n  19 -> 25 [size =\"43080704\"]\n  19 -> 26 [size =\"43080704\"]\n  19 -> 27 [size =\"43080704\"]\n  19 -> 30 [size =\"43080704\"]\n  20 [size=\"94154752\", alpha=\"0.15\", expect_size=\"47077376\"] \n  20 -> 25 [size =\"47077376\"]\n  20 -> 29 [size =\"47077376\"]\n  20 -> 30 [size =\"47077376\"]\n  20 -> 30 [size =\"47077376\"]\n  21 [size=\"69650432\", alpha=\"0.19\", expect_size=\"34825216\"] \n  21 -> 26 [size =\"34825216\"]\n  21 -> 27 [size =\"34825216\"]\n  22 [size=\"22366208\", alpha=\"0.01\", expect_size=\"11183104\"] \n  22 -> 27 [size =\"11183104\"]\n  23 [size=\"62842880\", alpha=\"0.09\", expect_size=\"31421440\"] \n  23 -> 25 [size =\"31421440\"]\n  23 -> 26 [size =\"31421440\"]\n  23 -> 27 [size =\"31421440\"]\n  23 -> 30 [size =\"31421440\"]\n  24 [size=\"40407040\", alpha=\"0.14\", expect_size=\"20203520\"] \n  24 -> 26 [size =\"20203520\"]\n  24 -> 26 [size =\"20203520\"]\n  24 -> 30 [size =\"20203520\"]\n  25 [size=\"15058944\", alpha=\"0.11\", expect_size=\"7529472\"] \n  26 [size=\"42053632\", alpha=\"0.10\", expect_size=\"21026816\"] \n  27 [size=\"74061824\", alpha=\"0.13\", expect_size=\"37030912\"] \n  28 [size=\"44554240\", alpha=\"0.10\", expect_size=\"22277120\"] \n  29 [size=\"58693632\", alpha=\"0.10\", expect_size=\"29346816\"] \n  30 [size=\"46239744\", alpha=\"0.12\", expect_size=\"23119872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164143787\", alpha=\"0.06\", expect_size=\"49243136\"] \n  2 [size=\"166608213\", alpha=\"0.09\", expect_size=\"49982464\"] \n  2 -> 3 [size =\"49982464\"]\n  2 -> 4 [size =\"49982464\"]\n  3 [size=\"82216960\", alpha=\"0.11\", expect_size=\"24665088\"] \n  3 -> 5 [size =\"24665088\"]\n  4 [size=\"111397547\", alpha=\"0.04\", expect_size=\"33419264\"] \n  5 [size=\"115640320\", alpha=\"0.16\", expect_size=\"34692096\"] \n  5 -> 6 [size =\"34692096\"]\n  6 [size=\"172441600\", alpha=\"0.09\", expect_size=\"51732480\"] \n  6 -> 7 [size =\"51732480\"]\n  6 -> 8 [size =\"51732480\"]\n  7 [size=\"77322240\", alpha=\"0.07\", expect_size=\"23196672\"] \n  7 -> 9 [size =\"23196672\"]\n  8 [size=\"56200533\", alpha=\"0.01\", expect_size=\"16860160\"] \n  8 -> 9 [size =\"16860160\"]\n  9 [size=\"84224000\", alpha=\"0.07\", expect_size=\"25267200\"] \n  9 -> 10 [size =\"25267200\"]\n  9 -> 11 [size =\"25267200\"]\n  10 [size=\"19746133\", alpha=\"0.00\", expect_size=\"5923840\"] \n  10 -> 13 [size =\"5923840\"]\n  11 [size=\"39888213\", alpha=\"0.17\", expect_size=\"11966464\"] \n  11 -> 12 [size =\"11966464\"]\n  12 [size=\"90938027\", alpha=\"0.09\", expect_size=\"27281408\"] \n  12 -> 14 [size =\"27281408\"]\n  13 [size=\"159447040\", alpha=\"0.17\", expect_size=\"47834112\"] \n  13 -> 14 [size =\"47834112\"]\n  13 -> 15 [size =\"47834112\"]\n  14 [size=\"90692267\", alpha=\"0.02\", expect_size=\"27207680\"] \n  14 -> 16 [size =\"27207680\"]\n  14 -> 17 [size =\"27207680\"]\n  15 [size=\"121883307\", alpha=\"0.04\", expect_size=\"36564992\"] \n  15 -> 17 [size =\"36564992\"]\n  16 [size=\"87845547\", alpha=\"0.15\", expect_size=\"26353664\"] \n  17 [size=\"155955200\", alpha=\"0.18\", expect_size=\"46786560\"] \n  17 -> 18 [size =\"46786560\"]\n  17 -> 19 [size =\"46786560\"]\n  18 [size=\"54343680\", alpha=\"0.02\", expect_size=\"16303104\"] \n  19 [size=\"60914347\", alpha=\"0.00\", expect_size=\"18274304\"] \n  19 -> 20 [size =\"18274304\"]\n  20 [size=\"118142293\", alpha=\"0.19\", expect_size=\"35442688\"] \n  20 -> 21 [size =\"35442688\"]\n  20 -> 22 [size =\"35442688\"]\n  21 [size=\"120299520\", alpha=\"0.15\", expect_size=\"36089856\"] \n  22 [size=\"96839680\", alpha=\"0.11\", expect_size=\"29051904\"] \n  22 -> 23 [size =\"29051904\"]\n  23 [size=\"167864320\", alpha=\"0.15\", expect_size=\"50359296\"] \n  23 -> 24 [size =\"50359296\"]\n  23 -> 25 [size =\"50359296\"]\n  24 [size=\"140755627\", alpha=\"0.11\", expect_size=\"42226688\"] \n  24 -> 26 [size =\"42226688\"]\n  24 -> 27 [size =\"42226688\"]\n  25 [size=\"154265600\", alpha=\"0.19\", expect_size=\"46279680\"] \n  26 [size=\"30665387\", alpha=\"0.07\", expect_size=\"9199616\"] \n  26 -> 28 [size =\"9199616\"]\n  27 [size=\"146800640\", alpha=\"0.03\", expect_size=\"44040192\"] \n  27 -> 29 [size =\"44040192\"]\n  28 [size=\"132826453\", alpha=\"0.04\", expect_size=\"39847936\"] \n  28 -> 30 [size =\"39847936\"]\n  29 [size=\"145797120\", alpha=\"0.13\", expect_size=\"43739136\"] \n  30 [size=\"149029547\", alpha=\"0.02\", expect_size=\"44708864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73785344\", alpha=\"0.02\", expect_size=\"36892672\"] \n  1 -> 2 [size =\"36892672\"]\n  1 -> 3 [size =\"36892672\"]\n  2 [size=\"59414528\", alpha=\"0.08\", expect_size=\"29707264\"] \n  3 [size=\"43476992\", alpha=\"0.10\", expect_size=\"21738496\"] \n  3 -> 4 [size =\"21738496\"]\n  3 -> 5 [size =\"21738496\"]\n  4 [size=\"101238784\", alpha=\"0.08\", expect_size=\"50619392\"] \n  4 -> 6 [size =\"50619392\"]\n  5 [size=\"15464448\", alpha=\"0.07\", expect_size=\"7732224\"] \n  6 [size=\"19390464\", alpha=\"0.04\", expect_size=\"9695232\"] \n  6 -> 7 [size =\"9695232\"]\n  6 -> 8 [size =\"9695232\"]\n  7 [size=\"102193152\", alpha=\"0.04\", expect_size=\"51096576\"] \n  7 -> 9 [size =\"51096576\"]\n  8 [size=\"24467456\", alpha=\"0.04\", expect_size=\"12233728\"] \n  8 -> 10 [size =\"12233728\"]\n  9 [size=\"79200256\", alpha=\"0.06\", expect_size=\"39600128\"] \n  9 -> 12 [size =\"39600128\"]\n  10 [size=\"69787648\", alpha=\"0.09\", expect_size=\"34893824\"] \n  10 -> 11 [size =\"34893824\"]\n  11 [size=\"54228992\", alpha=\"0.09\", expect_size=\"27114496\"] \n  11 -> 14 [size =\"27114496\"]\n  12 [size=\"61452288\", alpha=\"0.13\", expect_size=\"30726144\"] \n  12 -> 13 [size =\"30726144\"]\n  13 [size=\"98742272\", alpha=\"0.03\", expect_size=\"49371136\"] \n  13 -> 16 [size =\"49371136\"]\n  14 [size=\"53223424\", alpha=\"0.00\", expect_size=\"26611712\"] \n  14 -> 15 [size =\"26611712\"]\n  15 [size=\"90202112\", alpha=\"0.16\", expect_size=\"45101056\"] \n  16 [size=\"30312448\", alpha=\"0.01\", expect_size=\"15156224\"] \n  16 -> 17 [size =\"15156224\"]\n  17 [size=\"50188288\", alpha=\"0.17\", expect_size=\"25094144\"] \n  17 -> 18 [size =\"25094144\"]\n  18 [size=\"68782080\", alpha=\"0.18\", expect_size=\"34391040\"] \n  18 -> 19 [size =\"34391040\"]\n  19 [size=\"88625152\", alpha=\"0.07\", expect_size=\"44312576\"] \n  19 -> 20 [size =\"44312576\"]\n  19 -> 21 [size =\"44312576\"]\n  20 [size=\"22239232\", alpha=\"0.06\", expect_size=\"11119616\"] \n  20 -> 22 [size =\"11119616\"]\n  21 [size=\"66420736\", alpha=\"0.19\", expect_size=\"33210368\"] \n  22 [size=\"14956544\", alpha=\"0.02\", expect_size=\"7478272\"] \n  22 -> 23 [size =\"7478272\"]\n  23 [size=\"76505088\", alpha=\"0.12\", expect_size=\"38252544\"] \n  23 -> 24 [size =\"38252544\"]\n  23 -> 25 [size =\"38252544\"]\n  24 [size=\"91336704\", alpha=\"0.02\", expect_size=\"45668352\"] \n  24 -> 26 [size =\"45668352\"]\n  24 -> 27 [size =\"45668352\"]\n  25 [size=\"92176384\", alpha=\"0.12\", expect_size=\"46088192\"] \n  26 [size=\"71012352\", alpha=\"0.05\", expect_size=\"35506176\"] \n  26 -> 28 [size =\"35506176\"]\n  27 [size=\"77078528\", alpha=\"0.16\", expect_size=\"38539264\"] \n  28 [size=\"64692224\", alpha=\"0.11\", expect_size=\"32346112\"] \n  28 -> 29 [size =\"32346112\"]\n  28 -> 30 [size =\"32346112\"]\n  29 [size=\"53901312\", alpha=\"0.00\", expect_size=\"26950656\"] \n  30 [size=\"85520384\", alpha=\"0.02\", expect_size=\"42760192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28904107\", alpha=\"0.08\", expect_size=\"8671232\"] \n  2 [size=\"61457067\", alpha=\"0.12\", expect_size=\"18437120\"] \n  2 -> 29 [size =\"18437120\"]\n  2 -> 30 [size =\"18437120\"]\n  3 [size=\"31447040\", alpha=\"0.04\", expect_size=\"9434112\"] \n  4 [size=\"68901547\", alpha=\"0.11\", expect_size=\"20670464\"] \n  5 [size=\"105192107\", alpha=\"0.17\", expect_size=\"31557632\"] \n  6 [size=\"46766080\", alpha=\"0.10\", expect_size=\"14029824\"] \n  7 [size=\"114186240\", alpha=\"0.08\", expect_size=\"34255872\"] \n  8 [size=\"162259627\", alpha=\"0.06\", expect_size=\"48677888\"] \n  8 -> 30 [size =\"48677888\"]\n  9 [size=\"80674133\", alpha=\"0.02\", expect_size=\"24202240\"] \n  9 -> 30 [size =\"24202240\"]\n  10 [size=\"88668160\", alpha=\"0.18\", expect_size=\"26600448\"] \n  11 [size=\"47199573\", alpha=\"0.12\", expect_size=\"14159872\"] \n  12 [size=\"107595093\", alpha=\"0.14\", expect_size=\"32278528\"] \n  13 [size=\"44516693\", alpha=\"0.01\", expect_size=\"13355008\"] \n  14 [size=\"79602347\", alpha=\"0.18\", expect_size=\"23880704\"] \n  14 -> 29 [size =\"23880704\"]\n  15 [size=\"162338133\", alpha=\"0.04\", expect_size=\"48701440\"] \n  15 -> 29 [size =\"48701440\"]\n  16 [size=\"142281387\", alpha=\"0.18\", expect_size=\"42684416\"] \n  16 -> 28 [size =\"42684416\"]\n  17 [size=\"60494507\", alpha=\"0.02\", expect_size=\"18148352\"] \n  18 [size=\"124470613\", alpha=\"0.18\", expect_size=\"37341184\"] \n  19 [size=\"169663147\", alpha=\"0.06\", expect_size=\"50898944\"] \n  20 [size=\"31491413\", alpha=\"0.08\", expect_size=\"9447424\"] \n  21 [size=\"19558400\", alpha=\"0.11\", expect_size=\"5867520\"] \n  21 -> 30 [size =\"5867520\"]\n  22 [size=\"113868800\", alpha=\"0.20\", expect_size=\"34160640\"] \n  23 [size=\"65327787\", alpha=\"0.10\", expect_size=\"19598336\"] \n  24 [size=\"69713920\", alpha=\"0.08\", expect_size=\"20914176\"] \n  25 [size=\"53889707\", alpha=\"0.16\", expect_size=\"16166912\"] \n  26 [size=\"86237867\", alpha=\"0.08\", expect_size=\"25871360\"] \n  27 [size=\"72297813\", alpha=\"0.12\", expect_size=\"21689344\"] \n  27 -> 29 [size =\"21689344\"]\n  28 [size=\"84483413\", alpha=\"0.15\", expect_size=\"25345024\"] \n  29 [size=\"70212267\", alpha=\"0.06\", expect_size=\"21063680\"] \n  30 [size=\"115991893\", alpha=\"0.06\", expect_size=\"34797568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105994240\", alpha=\"0.13\", expect_size=\"42397696\"] \n  1 -> 29 [size =\"42397696\"]\n  1 -> 30 [size =\"42397696\"]\n  2 [size=\"32929280\", alpha=\"0.06\", expect_size=\"13171712\"] \n  2 -> 27 [size =\"13171712\"]\n  2 -> 28 [size =\"13171712\"]\n  2 -> 29 [size =\"13171712\"]\n  2 -> 30 [size =\"13171712\"]\n  3 [size=\"50519040\", alpha=\"0.05\", expect_size=\"20207616\"] \n  3 -> 27 [size =\"20207616\"]\n  3 -> 28 [size =\"20207616\"]\n  3 -> 29 [size =\"20207616\"]\n  3 -> 30 [size =\"20207616\"]\n  4 [size=\"70016000\", alpha=\"0.15\", expect_size=\"28006400\"] \n  4 -> 27 [size =\"28006400\"]\n  4 -> 28 [size =\"28006400\"]\n  4 -> 29 [size =\"28006400\"]\n  4 -> 30 [size =\"28006400\"]\n  5 [size=\"76083200\", alpha=\"0.12\", expect_size=\"30433280\"] \n  5 -> 28 [size =\"30433280\"]\n  5 -> 29 [size =\"30433280\"]\n  5 -> 29 [size =\"30433280\"]\n  5 -> 30 [size =\"30433280\"]\n  6 [size=\"43228160\", alpha=\"0.13\", expect_size=\"17291264\"] \n  6 -> 29 [size =\"17291264\"]\n  6 -> 29 [size =\"17291264\"]\n  7 [size=\"121538560\", alpha=\"0.15\", expect_size=\"48615424\"] \n  7 -> 27 [size =\"48615424\"]\n  7 -> 29 [size =\"48615424\"]\n  8 [size=\"63040000\", alpha=\"0.05\", expect_size=\"25216000\"] \n  8 -> 29 [size =\"25216000\"]\n  9 [size=\"44170240\", alpha=\"0.10\", expect_size=\"17668096\"] \n  9 -> 27 [size =\"17668096\"]\n  9 -> 29 [size =\"17668096\"]\n  10 [size=\"99865600\", alpha=\"0.05\", expect_size=\"39946240\"] \n  10 -> 27 [size =\"39946240\"]\n  10 -> 28 [size =\"39946240\"]\n  11 [size=\"87441920\", alpha=\"0.14\", expect_size=\"34976768\"] \n  11 -> 29 [size =\"34976768\"]\n  11 -> 30 [size =\"34976768\"]\n  12 [size=\"43479040\", alpha=\"0.05\", expect_size=\"17391616\"] \n  13 [size=\"77419520\", alpha=\"0.09\", expect_size=\"30967808\"] \n  13 -> 29 [size =\"30967808\"]\n  14 [size=\"109419520\", alpha=\"0.19\", expect_size=\"43767808\"] \n  14 -> 29 [size =\"43767808\"]\n  15 [size=\"79377920\", alpha=\"0.02\", expect_size=\"31751168\"] \n  15 -> 28 [size =\"31751168\"]\n  15 -> 29 [size =\"31751168\"]\n  15 -> 30 [size =\"31751168\"]\n  16 [size=\"33776640\", alpha=\"0.11\", expect_size=\"13510656\"] \n  16 -> 28 [size =\"13510656\"]\n  16 -> 29 [size =\"13510656\"]\n  16 -> 30 [size =\"13510656\"]\n  17 [size=\"109808640\", alpha=\"0.09\", expect_size=\"43923456\"] \n  17 -> 28 [size =\"43923456\"]\n  17 -> 29 [size =\"43923456\"]\n  17 -> 30 [size =\"43923456\"]\n  18 [size=\"78927360\", alpha=\"0.15\", expect_size=\"31570944\"] \n  18 -> 27 [size =\"31570944\"]\n  18 -> 28 [size =\"31570944\"]\n  18 -> 29 [size =\"31570944\"]\n  19 [size=\"105853440\", alpha=\"0.18\", expect_size=\"42341376\"] \n  19 -> 27 [size =\"42341376\"]\n  19 -> 28 [size =\"42341376\"]\n  19 -> 29 [size =\"42341376\"]\n  20 [size=\"49157120\", alpha=\"0.10\", expect_size=\"19662848\"] \n  20 -> 27 [size =\"19662848\"]\n  20 -> 28 [size =\"19662848\"]\n  20 -> 30 [size =\"19662848\"]\n  21 [size=\"79823360\", alpha=\"0.17\", expect_size=\"31929344\"] \n  21 -> 27 [size =\"31929344\"]\n  21 -> 28 [size =\"31929344\"]\n  21 -> 30 [size =\"31929344\"]\n  22 [size=\"46914560\", alpha=\"0.08\", expect_size=\"18765824\"] \n  22 -> 27 [size =\"18765824\"]\n  22 -> 28 [size =\"18765824\"]\n  22 -> 29 [size =\"18765824\"]\n  22 -> 30 [size =\"18765824\"]\n  23 [size=\"77921280\", alpha=\"0.05\", expect_size=\"31168512\"] \n  23 -> 28 [size =\"31168512\"]\n  23 -> 28 [size =\"31168512\"]\n  23 -> 29 [size =\"31168512\"]\n  23 -> 30 [size =\"31168512\"]\n  24 [size=\"130406400\", alpha=\"0.12\", expect_size=\"52162560\"] \n  24 -> 27 [size =\"52162560\"]\n  24 -> 28 [size =\"52162560\"]\n  24 -> 29 [size =\"52162560\"]\n  24 -> 30 [size =\"52162560\"]\n  25 [size=\"122109440\", alpha=\"0.09\", expect_size=\"48843776\"] \n  25 -> 28 [size =\"48843776\"]\n  25 -> 29 [size =\"48843776\"]\n  25 -> 30 [size =\"48843776\"]\n  26 [size=\"14021120\", alpha=\"0.11\", expect_size=\"5608448\"] \n  26 -> 28 [size =\"5608448\"]\n  27 [size=\"81661440\", alpha=\"0.12\", expect_size=\"32664576\"] \n  28 [size=\"19082240\", alpha=\"0.01\", expect_size=\"7632896\"] \n  29 [size=\"105807360\", alpha=\"0.16\", expect_size=\"42322944\"] \n  30 [size=\"96064000\", alpha=\"0.05\", expect_size=\"38425600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98014720\", alpha=\"0.02\", expect_size=\"39205888\"] \n  1 -> 4 [size =\"39205888\"]\n  2 [size=\"31278080\", alpha=\"0.02\", expect_size=\"12511232\"] \n  2 -> 4 [size =\"12511232\"]\n  2 -> 5 [size =\"12511232\"]\n  2 -> 6 [size =\"12511232\"]\n  2 -> 7 [size =\"12511232\"]\n  3 [size=\"54484480\", alpha=\"0.09\", expect_size=\"21793792\"] \n  3 -> 5 [size =\"21793792\"]\n  3 -> 7 [size =\"21793792\"]\n  4 [size=\"37040640\", alpha=\"0.07\", expect_size=\"14816256\"] \n  4 -> 8 [size =\"14816256\"]\n  4 -> 9 [size =\"14816256\"]\n  4 -> 13 [size =\"14816256\"]\n  5 [size=\"20362240\", alpha=\"0.17\", expect_size=\"8144896\"] \n  5 -> 8 [size =\"8144896\"]\n  5 -> 9 [size =\"8144896\"]\n  5 -> 11 [size =\"8144896\"]\n  6 [size=\"55920640\", alpha=\"0.04\", expect_size=\"22368256\"] \n  6 -> 8 [size =\"22368256\"]\n  6 -> 9 [size =\"22368256\"]\n  6 -> 12 [size =\"22368256\"]\n  6 -> 13 [size =\"22368256\"]\n  7 [size=\"93954560\", alpha=\"0.04\", expect_size=\"37581824\"] \n  7 -> 10 [size =\"37581824\"]\n  7 -> 12 [size =\"37581824\"]\n  8 [size=\"122324480\", alpha=\"0.05\", expect_size=\"48929792\"] \n  9 [size=\"15577600\", alpha=\"0.05\", expect_size=\"6231040\"] \n  10 [size=\"22333440\", alpha=\"0.12\", expect_size=\"8933376\"] \n  10 -> 14 [size =\"8933376\"]\n  10 -> 15 [size =\"8933376\"]\n  11 [size=\"129948160\", alpha=\"0.10\", expect_size=\"51979264\"] \n  11 -> 14 [size =\"51979264\"]\n  11 -> 15 [size =\"51979264\"]\n  11 -> 16 [size =\"51979264\"]\n  12 [size=\"22420480\", alpha=\"0.07\", expect_size=\"8968192\"] \n  12 -> 14 [size =\"8968192\"]\n  12 -> 15 [size =\"8968192\"]\n  13 [size=\"33297920\", alpha=\"0.04\", expect_size=\"13319168\"] \n  13 -> 14 [size =\"13319168\"]\n  13 -> 15 [size =\"13319168\"]\n  13 -> 16 [size =\"13319168\"]\n  14 [size=\"86676480\", alpha=\"0.09\", expect_size=\"34670592\"] \n  14 -> 17 [size =\"34670592\"]\n  14 -> 20 [size =\"34670592\"]\n  14 -> 21 [size =\"34670592\"]\n  15 [size=\"125557760\", alpha=\"0.10\", expect_size=\"50223104\"] \n  15 -> 18 [size =\"50223104\"]\n  15 -> 19 [size =\"50223104\"]\n  15 -> 20 [size =\"50223104\"]\n  16 [size=\"105648640\", alpha=\"0.14\", expect_size=\"42259456\"] \n  16 -> 19 [size =\"42259456\"]\n  16 -> 20 [size =\"42259456\"]\n  17 [size=\"13422080\", alpha=\"0.17\", expect_size=\"5368832\"] \n  17 -> 22 [size =\"5368832\"]\n  17 -> 24 [size =\"5368832\"]\n  18 [size=\"38443520\", alpha=\"0.17\", expect_size=\"15377408\"] \n  18 -> 22 [size =\"15377408\"]\n  18 -> 24 [size =\"15377408\"]\n  19 [size=\"70609920\", alpha=\"0.00\", expect_size=\"28243968\"] \n  19 -> 22 [size =\"28243968\"]\n  19 -> 24 [size =\"28243968\"]\n  20 [size=\"102525440\", alpha=\"0.17\", expect_size=\"41010176\"] \n  20 -> 24 [size =\"41010176\"]\n  20 -> 25 [size =\"41010176\"]\n  21 [size=\"55106560\", alpha=\"0.08\", expect_size=\"22042624\"] \n  21 -> 23 [size =\"22042624\"]\n  22 [size=\"112412160\", alpha=\"0.02\", expect_size=\"44964864\"] \n  22 -> 27 [size =\"44964864\"]\n  22 -> 28 [size =\"44964864\"]\n  22 -> 30 [size =\"44964864\"]\n  23 [size=\"38420480\", alpha=\"0.03\", expect_size=\"15368192\"] \n  23 -> 27 [size =\"15368192\"]\n  23 -> 29 [size =\"15368192\"]\n  24 [size=\"61386240\", alpha=\"0.09\", expect_size=\"24554496\"] \n  24 -> 26 [size =\"24554496\"]\n  24 -> 27 [size =\"24554496\"]\n  24 -> 30 [size =\"24554496\"]\n  25 [size=\"115863040\", alpha=\"0.15\", expect_size=\"46345216\"] \n  25 -> 28 [size =\"46345216\"]\n  26 [size=\"57722880\", alpha=\"0.09\", expect_size=\"23089152\"] \n  27 [size=\"20136960\", alpha=\"0.16\", expect_size=\"8054784\"] \n  28 [size=\"122316800\", alpha=\"0.02\", expect_size=\"48926720\"] \n  29 [size=\"105597440\", alpha=\"0.08\", expect_size=\"42238976\"] \n  30 [size=\"108203520\", alpha=\"0.16\", expect_size=\"43281408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76386987\", alpha=\"0.07\", expect_size=\"22916096\"] \n  1 -> 6 [size =\"22916096\"]\n  1 -> 7 [size =\"22916096\"]\n  2 [size=\"62508373\", alpha=\"0.06\", expect_size=\"18752512\"] \n  2 -> 5 [size =\"18752512\"]\n  3 [size=\"150265173\", alpha=\"0.11\", expect_size=\"45079552\"] \n  3 -> 8 [size =\"45079552\"]\n  4 [size=\"170216107\", alpha=\"0.17\", expect_size=\"51064832\"] \n  4 -> 6 [size =\"51064832\"]\n  5 [size=\"168731307\", alpha=\"0.10\", expect_size=\"50619392\"] \n  6 [size=\"117524480\", alpha=\"0.04\", expect_size=\"35257344\"] \n  6 -> 11 [size =\"35257344\"]\n  7 [size=\"45424640\", alpha=\"0.01\", expect_size=\"13627392\"] \n  7 -> 12 [size =\"13627392\"]\n  8 [size=\"47926613\", alpha=\"0.06\", expect_size=\"14377984\"] \n  8 -> 9 [size =\"14377984\"]\n  8 -> 10 [size =\"14377984\"]\n  8 -> 11 [size =\"14377984\"]\n  8 -> 12 [size =\"14377984\"]\n  8 -> 13 [size =\"14377984\"]\n  9 [size=\"119552000\", alpha=\"0.04\", expect_size=\"35865600\"] \n  9 -> 15 [size =\"35865600\"]\n  9 -> 16 [size =\"35865600\"]\n  9 -> 17 [size =\"35865600\"]\n  9 -> 18 [size =\"35865600\"]\n  10 [size=\"56480427\", alpha=\"0.16\", expect_size=\"16944128\"] \n  10 -> 15 [size =\"16944128\"]\n  11 [size=\"97563307\", alpha=\"0.05\", expect_size=\"29268992\"] \n  11 -> 18 [size =\"29268992\"]\n  12 [size=\"152354133\", alpha=\"0.01\", expect_size=\"45706240\"] \n  12 -> 18 [size =\"45706240\"]\n  13 [size=\"39703893\", alpha=\"0.11\", expect_size=\"11911168\"] \n  13 -> 14 [size =\"11911168\"]\n  13 -> 15 [size =\"11911168\"]\n  14 [size=\"129239040\", alpha=\"0.06\", expect_size=\"38771712\"] \n  14 -> 19 [size =\"38771712\"]\n  15 [size=\"109008213\", alpha=\"0.18\", expect_size=\"32702464\"] \n  15 -> 20 [size =\"32702464\"]\n  16 [size=\"30231893\", alpha=\"0.11\", expect_size=\"9069568\"] \n  16 -> 21 [size =\"9069568\"]\n  16 -> 22 [size =\"9069568\"]\n  17 [size=\"64610987\", alpha=\"0.14\", expect_size=\"19383296\"] \n  18 [size=\"74970453\", alpha=\"0.01\", expect_size=\"22491136\"] \n  18 -> 19 [size =\"22491136\"]\n  18 -> 21 [size =\"22491136\"]\n  19 [size=\"122347520\", alpha=\"0.13\", expect_size=\"36704256\"] \n  19 -> 25 [size =\"36704256\"]\n  20 [size=\"152589653\", alpha=\"0.14\", expect_size=\"45776896\"] \n  20 -> 25 [size =\"45776896\"]\n  20 -> 26 [size =\"45776896\"]\n  21 [size=\"121128960\", alpha=\"0.03\", expect_size=\"36338688\"] \n  21 -> 24 [size =\"36338688\"]\n  22 [size=\"156627627\", alpha=\"0.17\", expect_size=\"46988288\"] \n  22 -> 23 [size =\"46988288\"]\n  22 -> 24 [size =\"46988288\"]\n  22 -> 27 [size =\"46988288\"]\n  23 [size=\"161187840\", alpha=\"0.09\", expect_size=\"48356352\"] \n  24 [size=\"89234773\", alpha=\"0.20\", expect_size=\"26770432\"] \n  24 -> 28 [size =\"26770432\"]\n  25 [size=\"139888640\", alpha=\"0.10\", expect_size=\"41966592\"] \n  25 -> 29 [size =\"41966592\"]\n  26 [size=\"121122133\", alpha=\"0.12\", expect_size=\"36336640\"] \n  27 [size=\"48725333\", alpha=\"0.19\", expect_size=\"14617600\"] \n  27 -> 28 [size =\"14617600\"]\n  27 -> 29 [size =\"14617600\"]\n  27 -> 30 [size =\"14617600\"]\n  28 [size=\"161126400\", alpha=\"0.09\", expect_size=\"48337920\"] \n  29 [size=\"171823787\", alpha=\"0.12\", expect_size=\"51547136\"] \n  30 [size=\"115213653\", alpha=\"0.00\", expect_size=\"34564096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97479680\", alpha=\"0.11\", expect_size=\"38991872\"] \n  1 -> 3 [size =\"38991872\"]\n  2 [size=\"121116160\", alpha=\"0.13\", expect_size=\"48446464\"] \n  3 [size=\"26278400\", alpha=\"0.18\", expect_size=\"10511360\"] \n  3 -> 4 [size =\"10511360\"]\n  3 -> 5 [size =\"10511360\"]\n  4 [size=\"13322240\", alpha=\"0.12\", expect_size=\"5328896\"] \n  4 -> 6 [size =\"5328896\"]\n  4 -> 7 [size =\"5328896\"]\n  5 [size=\"19105280\", alpha=\"0.06\", expect_size=\"7642112\"] \n  6 [size=\"62266880\", alpha=\"0.16\", expect_size=\"24906752\"] \n  7 [size=\"117798400\", alpha=\"0.07\", expect_size=\"47119360\"] \n  7 -> 8 [size =\"47119360\"]\n  8 [size=\"36718080\", alpha=\"0.19\", expect_size=\"14687232\"] \n  8 -> 9 [size =\"14687232\"]\n  8 -> 10 [size =\"14687232\"]\n  9 [size=\"90595840\", alpha=\"0.19\", expect_size=\"36238336\"] \n  9 -> 11 [size =\"36238336\"]\n  10 [size=\"13335040\", alpha=\"0.14\", expect_size=\"5334016\"] \n  11 [size=\"48517120\", alpha=\"0.16\", expect_size=\"19406848\"] \n  11 -> 12 [size =\"19406848\"]\n  12 [size=\"114247680\", alpha=\"0.10\", expect_size=\"45699072\"] \n  12 -> 13 [size =\"45699072\"]\n  12 -> 14 [size =\"45699072\"]\n  13 [size=\"73533440\", alpha=\"0.20\", expect_size=\"29413376\"] \n  14 [size=\"61829120\", alpha=\"0.01\", expect_size=\"24731648\"] \n  14 -> 15 [size =\"24731648\"]\n  14 -> 16 [size =\"24731648\"]\n  15 [size=\"129909760\", alpha=\"0.12\", expect_size=\"51963904\"] \n  15 -> 17 [size =\"51963904\"]\n  16 [size=\"49848320\", alpha=\"0.14\", expect_size=\"19939328\"] \n  17 [size=\"27484160\", alpha=\"0.07\", expect_size=\"10993664\"] \n  17 -> 18 [size =\"10993664\"]\n  18 [size=\"67008000\", alpha=\"0.03\", expect_size=\"26803200\"] \n  18 -> 19 [size =\"26803200\"]\n  18 -> 20 [size =\"26803200\"]\n  19 [size=\"58705920\", alpha=\"0.09\", expect_size=\"23482368\"] \n  20 [size=\"50186240\", alpha=\"0.01\", expect_size=\"20074496\"] \n  20 -> 21 [size =\"20074496\"]\n  21 [size=\"14456320\", alpha=\"0.08\", expect_size=\"5782528\"] \n  21 -> 22 [size =\"5782528\"]\n  21 -> 23 [size =\"5782528\"]\n  22 [size=\"110991360\", alpha=\"0.12\", expect_size=\"44396544\"] \n  22 -> 24 [size =\"44396544\"]\n  22 -> 25 [size =\"44396544\"]\n  23 [size=\"53452800\", alpha=\"0.19\", expect_size=\"21381120\"] \n  23 -> 25 [size =\"21381120\"]\n  24 [size=\"52060160\", alpha=\"0.06\", expect_size=\"20824064\"] \n  24 -> 26 [size =\"20824064\"]\n  25 [size=\"57246720\", alpha=\"0.15\", expect_size=\"22898688\"] \n  25 -> 26 [size =\"22898688\"]\n  26 [size=\"128043520\", alpha=\"0.11\", expect_size=\"51217408\"] \n  26 -> 27 [size =\"51217408\"]\n  27 [size=\"93895680\", alpha=\"0.05\", expect_size=\"37558272\"] \n  27 -> 28 [size =\"37558272\"]\n  27 -> 29 [size =\"37558272\"]\n  28 [size=\"18792960\", alpha=\"0.03\", expect_size=\"7517184\"] \n  29 [size=\"36503040\", alpha=\"0.15\", expect_size=\"14601216\"] \n  29 -> 30 [size =\"14601216\"]\n  30 [size=\"88634880\", alpha=\"0.06\", expect_size=\"35453952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72115200\", alpha=\"0.09\", expect_size=\"28846080\"] \n  1 -> 2 [size =\"28846080\"]\n  2 [size=\"96565760\", alpha=\"0.01\", expect_size=\"38626304\"] \n  2 -> 3 [size =\"38626304\"]\n  3 [size=\"29683200\", alpha=\"0.04\", expect_size=\"11873280\"] \n  3 -> 4 [size =\"11873280\"]\n  4 [size=\"119234560\", alpha=\"0.00\", expect_size=\"47693824\"] \n  4 -> 5 [size =\"47693824\"]\n  5 [size=\"33735680\", alpha=\"0.03\", expect_size=\"13494272\"] \n  5 -> 6 [size =\"13494272\"]\n  6 [size=\"88445440\", alpha=\"0.05\", expect_size=\"35378176\"] \n  6 -> 7 [size =\"35378176\"]\n  7 [size=\"72624640\", alpha=\"0.13\", expect_size=\"29049856\"] \n  7 -> 8 [size =\"29049856\"]\n  8 [size=\"71866880\", alpha=\"0.10\", expect_size=\"28746752\"] \n  8 -> 9 [size =\"28746752\"]\n  9 [size=\"117478400\", alpha=\"0.12\", expect_size=\"46991360\"] \n  9 -> 10 [size =\"46991360\"]\n  10 [size=\"50764800\", alpha=\"0.06\", expect_size=\"20305920\"] \n  10 -> 11 [size =\"20305920\"]\n  11 [size=\"78776320\", alpha=\"0.14\", expect_size=\"31510528\"] \n  11 -> 12 [size =\"31510528\"]\n  12 [size=\"130040320\", alpha=\"0.01\", expect_size=\"52016128\"] \n  12 -> 13 [size =\"52016128\"]\n  13 [size=\"15787520\", alpha=\"0.17\", expect_size=\"6315008\"] \n  13 -> 14 [size =\"6315008\"]\n  14 [size=\"36564480\", alpha=\"0.00\", expect_size=\"14625792\"] \n  14 -> 15 [size =\"14625792\"]\n  15 [size=\"38835200\", alpha=\"0.07\", expect_size=\"15534080\"] \n  15 -> 16 [size =\"15534080\"]\n  16 [size=\"59381760\", alpha=\"0.11\", expect_size=\"23752704\"] \n  16 -> 17 [size =\"23752704\"]\n  17 [size=\"87101440\", alpha=\"0.15\", expect_size=\"34840576\"] \n  17 -> 18 [size =\"34840576\"]\n  18 [size=\"47925760\", alpha=\"0.06\", expect_size=\"19170304\"] \n  18 -> 19 [size =\"19170304\"]\n  19 [size=\"109414400\", alpha=\"0.09\", expect_size=\"43765760\"] \n  19 -> 20 [size =\"43765760\"]\n  20 [size=\"59322880\", alpha=\"0.06\", expect_size=\"23729152\"] \n  20 -> 21 [size =\"23729152\"]\n  21 [size=\"97648640\", alpha=\"0.14\", expect_size=\"39059456\"] \n  21 -> 22 [size =\"39059456\"]\n  22 [size=\"59921920\", alpha=\"0.15\", expect_size=\"23968768\"] \n  22 -> 23 [size =\"23968768\"]\n  23 [size=\"66439680\", alpha=\"0.20\", expect_size=\"26575872\"] \n  23 -> 24 [size =\"26575872\"]\n  24 [size=\"49669120\", alpha=\"0.02\", expect_size=\"19867648\"] \n  24 -> 25 [size =\"19867648\"]\n  25 [size=\"51681280\", alpha=\"0.08\", expect_size=\"20672512\"] \n  25 -> 26 [size =\"20672512\"]\n  26 [size=\"95132160\", alpha=\"0.07\", expect_size=\"38052864\"] \n  26 -> 27 [size =\"38052864\"]\n  27 [size=\"41725440\", alpha=\"0.16\", expect_size=\"16690176\"] \n  27 -> 28 [size =\"16690176\"]\n  28 [size=\"13163520\", alpha=\"0.15\", expect_size=\"5265408\"] \n  28 -> 29 [size =\"5265408\"]\n  29 [size=\"47902720\", alpha=\"0.11\", expect_size=\"19161088\"] \n  29 -> 30 [size =\"19161088\"]\n  30 [size=\"98531840\", alpha=\"0.14\", expect_size=\"39412736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36188160\", alpha=\"0.13\", expect_size=\"18094080\"] \n  1 -> 2 [size =\"18094080\"]\n  2 [size=\"91461632\", alpha=\"0.09\", expect_size=\"45730816\"] \n  2 -> 3 [size =\"45730816\"]\n  3 [size=\"81971200\", alpha=\"0.02\", expect_size=\"40985600\"] \n  3 -> 4 [size =\"40985600\"]\n  3 -> 5 [size =\"40985600\"]\n  4 [size=\"55146496\", alpha=\"0.03\", expect_size=\"27573248\"] \n  4 -> 6 [size =\"27573248\"]\n  5 [size=\"87719936\", alpha=\"0.19\", expect_size=\"43859968\"] \n  5 -> 6 [size =\"43859968\"]\n  5 -> 7 [size =\"43859968\"]\n  6 [size=\"71481344\", alpha=\"0.16\", expect_size=\"35740672\"] \n  6 -> 8 [size =\"35740672\"]\n  6 -> 9 [size =\"35740672\"]\n  7 [size=\"54378496\", alpha=\"0.10\", expect_size=\"27189248\"] \n  7 -> 8 [size =\"27189248\"]\n  7 -> 9 [size =\"27189248\"]\n  8 [size=\"89663488\", alpha=\"0.06\", expect_size=\"44831744\"] \n  8 -> 11 [size =\"44831744\"]\n  9 [size=\"28669952\", alpha=\"0.09\", expect_size=\"14334976\"] \n  9 -> 10 [size =\"14334976\"]\n  9 -> 11 [size =\"14334976\"]\n  10 [size=\"102047744\", alpha=\"0.15\", expect_size=\"51023872\"] \n  10 -> 12 [size =\"51023872\"]\n  10 -> 13 [size =\"51023872\"]\n  11 [size=\"61370368\", alpha=\"0.06\", expect_size=\"30685184\"] \n  11 -> 13 [size =\"30685184\"]\n  12 [size=\"28481536\", alpha=\"0.06\", expect_size=\"14240768\"] \n  12 -> 14 [size =\"14240768\"]\n  13 [size=\"71526400\", alpha=\"0.16\", expect_size=\"35763200\"] \n  14 [size=\"81154048\", alpha=\"0.05\", expect_size=\"40577024\"] \n  14 -> 15 [size =\"40577024\"]\n  14 -> 16 [size =\"40577024\"]\n  15 [size=\"94212096\", alpha=\"0.02\", expect_size=\"47106048\"] \n  15 -> 17 [size =\"47106048\"]\n  16 [size=\"88096768\", alpha=\"0.16\", expect_size=\"44048384\"] \n  16 -> 17 [size =\"44048384\"]\n  17 [size=\"69496832\", alpha=\"0.19\", expect_size=\"34748416\"] \n  17 -> 18 [size =\"34748416\"]\n  18 [size=\"21721088\", alpha=\"0.10\", expect_size=\"10860544\"] \n  18 -> 19 [size =\"10860544\"]\n  18 -> 20 [size =\"10860544\"]\n  19 [size=\"48691200\", alpha=\"0.10\", expect_size=\"24345600\"] \n  19 -> 21 [size =\"24345600\"]\n  20 [size=\"90767360\", alpha=\"0.08\", expect_size=\"45383680\"] \n  21 [size=\"66555904\", alpha=\"0.12\", expect_size=\"33277952\"] \n  21 -> 22 [size =\"33277952\"]\n  22 [size=\"92813312\", alpha=\"0.13\", expect_size=\"46406656\"] \n  22 -> 23 [size =\"46406656\"]\n  23 [size=\"25350144\", alpha=\"0.09\", expect_size=\"12675072\"] \n  23 -> 24 [size =\"12675072\"]\n  23 -> 25 [size =\"12675072\"]\n  24 [size=\"100562944\", alpha=\"0.14\", expect_size=\"50281472\"] \n  24 -> 26 [size =\"50281472\"]\n  25 [size=\"29550592\", alpha=\"0.16\", expect_size=\"14775296\"] \n  25 -> 26 [size =\"14775296\"]\n  25 -> 27 [size =\"14775296\"]\n  26 [size=\"40204288\", alpha=\"0.11\", expect_size=\"20102144\"] \n  26 -> 28 [size =\"20102144\"]\n  27 [size=\"20467712\", alpha=\"0.15\", expect_size=\"10233856\"] \n  27 -> 28 [size =\"10233856\"]\n  28 [size=\"15302656\", alpha=\"0.15\", expect_size=\"7651328\"] \n  28 -> 29 [size =\"7651328\"]\n  28 -> 30 [size =\"7651328\"]\n  29 [size=\"64069632\", alpha=\"0.00\", expect_size=\"32034816\"] \n  30 [size=\"17963008\", alpha=\"0.04\", expect_size=\"8981504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147572053\", alpha=\"0.03\", expect_size=\"44271616\"] \n  1 -> 24 [size =\"44271616\"]\n  1 -> 25 [size =\"44271616\"]\n  2 [size=\"93020160\", alpha=\"0.04\", expect_size=\"27906048\"] \n  2 -> 26 [size =\"27906048\"]\n  2 -> 27 [size =\"27906048\"]\n  2 -> 30 [size =\"27906048\"]\n  3 [size=\"158921387\", alpha=\"0.18\", expect_size=\"47676416\"] \n  3 -> 25 [size =\"47676416\"]\n  3 -> 27 [size =\"47676416\"]\n  3 -> 29 [size =\"47676416\"]\n  3 -> 30 [size =\"47676416\"]\n  4 [size=\"160682667\", alpha=\"0.10\", expect_size=\"48204800\"] \n  4 -> 24 [size =\"48204800\"]\n  4 -> 25 [size =\"48204800\"]\n  5 [size=\"81537707\", alpha=\"0.17\", expect_size=\"24461312\"] \n  5 -> 25 [size =\"24461312\"]\n  5 -> 30 [size =\"24461312\"]\n  6 [size=\"130464427\", alpha=\"0.11\", expect_size=\"39139328\"] \n  6 -> 27 [size =\"39139328\"]\n  6 -> 29 [size =\"39139328\"]\n  7 [size=\"17967787\", alpha=\"0.06\", expect_size=\"5390336\"] \n  7 -> 25 [size =\"5390336\"]\n  7 -> 29 [size =\"5390336\"]\n  7 -> 30 [size =\"5390336\"]\n  8 [size=\"172871680\", alpha=\"0.18\", expect_size=\"51861504\"] \n  8 -> 25 [size =\"51861504\"]\n  8 -> 28 [size =\"51861504\"]\n  9 [size=\"160109227\", alpha=\"0.18\", expect_size=\"48032768\"] \n  9 -> 29 [size =\"48032768\"]\n  10 [size=\"86521173\", alpha=\"0.10\", expect_size=\"25956352\"] \n  11 [size=\"100580693\", alpha=\"0.16\", expect_size=\"30174208\"] \n  11 -> 27 [size =\"30174208\"]\n  11 -> 29 [size =\"30174208\"]\n  12 [size=\"121978880\", alpha=\"0.05\", expect_size=\"36593664\"] \n  12 -> 26 [size =\"36593664\"]\n  12 -> 27 [size =\"36593664\"]\n  12 -> 28 [size =\"36593664\"]\n  12 -> 29 [size =\"36593664\"]\n  13 [size=\"155173547\", alpha=\"0.14\", expect_size=\"46552064\"] \n  13 -> 27 [size =\"46552064\"]\n  13 -> 27 [size =\"46552064\"]\n  13 -> 28 [size =\"46552064\"]\n  13 -> 29 [size =\"46552064\"]\n  13 -> 30 [size =\"46552064\"]\n  14 [size=\"141161813\", alpha=\"0.04\", expect_size=\"42348544\"] \n  14 -> 24 [size =\"42348544\"]\n  14 -> 27 [size =\"42348544\"]\n  14 -> 28 [size =\"42348544\"]\n  14 -> 30 [size =\"42348544\"]\n  15 [size=\"65556480\", alpha=\"0.05\", expect_size=\"19666944\"] \n  15 -> 24 [size =\"19666944\"]\n  15 -> 25 [size =\"19666944\"]\n  15 -> 27 [size =\"19666944\"]\n  15 -> 28 [size =\"19666944\"]\n  16 [size=\"39553707\", alpha=\"0.03\", expect_size=\"11866112\"] \n  16 -> 24 [size =\"11866112\"]\n  16 -> 25 [size =\"11866112\"]\n  16 -> 27 [size =\"11866112\"]\n  16 -> 28 [size =\"11866112\"]\n  16 -> 29 [size =\"11866112\"]\n  16 -> 30 [size =\"11866112\"]\n  17 [size=\"129078613\", alpha=\"0.12\", expect_size=\"38723584\"] \n  17 -> 25 [size =\"38723584\"]\n  17 -> 27 [size =\"38723584\"]\n  17 -> 27 [size =\"38723584\"]\n  18 [size=\"172718080\", alpha=\"0.06\", expect_size=\"51815424\"] \n  18 -> 25 [size =\"51815424\"]\n  18 -> 27 [size =\"51815424\"]\n  19 [size=\"159324160\", alpha=\"0.19\", expect_size=\"47797248\"] \n  19 -> 29 [size =\"47797248\"]\n  20 [size=\"144264533\", alpha=\"0.15\", expect_size=\"43279360\"] \n  20 -> 25 [size =\"43279360\"]\n  20 -> 28 [size =\"43279360\"]\n  20 -> 29 [size =\"43279360\"]\n  20 -> 30 [size =\"43279360\"]\n  21 [size=\"68795733\", alpha=\"0.08\", expect_size=\"20638720\"] \n  21 -> 24 [size =\"20638720\"]\n  21 -> 25 [size =\"20638720\"]\n  21 -> 27 [size =\"20638720\"]\n  21 -> 29 [size =\"20638720\"]\n  21 -> 30 [size =\"20638720\"]\n  22 [size=\"34597547\", alpha=\"0.11\", expect_size=\"10379264\"] \n  22 -> 24 [size =\"10379264\"]\n  22 -> 25 [size =\"10379264\"]\n  22 -> 29 [size =\"10379264\"]\n  22 -> 29 [size =\"10379264\"]\n  23 [size=\"72256853\", alpha=\"0.11\", expect_size=\"21677056\"] \n  23 -> 25 [size =\"21677056\"]\n  23 -> 25 [size =\"21677056\"]\n  23 -> 26 [size =\"21677056\"]\n  23 -> 30 [size =\"21677056\"]\n  24 [size=\"23732907\", alpha=\"0.10\", expect_size=\"7119872\"] \n  25 [size=\"54548480\", alpha=\"0.17\", expect_size=\"16364544\"] \n  26 [size=\"93067947\", alpha=\"0.18\", expect_size=\"27920384\"] \n  27 [size=\"114148693\", alpha=\"0.20\", expect_size=\"34244608\"] \n  28 [size=\"50554880\", alpha=\"0.01\", expect_size=\"15166464\"] \n  29 [size=\"99024213\", alpha=\"0.20\", expect_size=\"29707264\"] \n  30 [size=\"87456427\", alpha=\"0.08\", expect_size=\"26236928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79677440\", alpha=\"0.19\", expect_size=\"39838720\"] \n  1 -> 15 [size =\"39838720\"]\n  1 -> 18 [size =\"39838720\"]\n  1 -> 20 [size =\"39838720\"]\n  1 -> 24 [size =\"39838720\"]\n  1 -> 29 [size =\"39838720\"]\n  2 [size=\"23736320\", alpha=\"0.02\", expect_size=\"11868160\"] \n  2 -> 15 [size =\"11868160\"]\n  2 -> 17 [size =\"11868160\"]\n  2 -> 18 [size =\"11868160\"]\n  2 -> 20 [size =\"11868160\"]\n  2 -> 22 [size =\"11868160\"]\n  2 -> 24 [size =\"11868160\"]\n  2 -> 26 [size =\"11868160\"]\n  2 -> 30 [size =\"11868160\"]\n  3 [size=\"40009728\", alpha=\"0.09\", expect_size=\"20004864\"] \n  3 -> 15 [size =\"20004864\"]\n  3 -> 18 [size =\"20004864\"]\n  3 -> 21 [size =\"20004864\"]\n  3 -> 22 [size =\"20004864\"]\n  3 -> 22 [size =\"20004864\"]\n  3 -> 24 [size =\"20004864\"]\n  3 -> 26 [size =\"20004864\"]\n  3 -> 29 [size =\"20004864\"]\n  3 -> 30 [size =\"20004864\"]\n  4 [size=\"94722048\", alpha=\"0.13\", expect_size=\"47361024\"] \n  4 -> 15 [size =\"47361024\"]\n  4 -> 19 [size =\"47361024\"]\n  4 -> 21 [size =\"47361024\"]\n  4 -> 24 [size =\"47361024\"]\n  4 -> 26 [size =\"47361024\"]\n  4 -> 28 [size =\"47361024\"]\n  5 [size=\"46127104\", alpha=\"0.17\", expect_size=\"23063552\"] \n  5 -> 15 [size =\"23063552\"]\n  5 -> 21 [size =\"23063552\"]\n  5 -> 26 [size =\"23063552\"]\n  5 -> 27 [size =\"23063552\"]\n  5 -> 29 [size =\"23063552\"]\n  6 [size=\"58206208\", alpha=\"0.01\", expect_size=\"29103104\"] \n  6 -> 15 [size =\"29103104\"]\n  6 -> 22 [size =\"29103104\"]\n  6 -> 25 [size =\"29103104\"]\n  6 -> 26 [size =\"29103104\"]\n  6 -> 27 [size =\"29103104\"]\n  6 -> 29 [size =\"29103104\"]\n  7 [size=\"30621696\", alpha=\"0.08\", expect_size=\"15310848\"] \n  7 -> 15 [size =\"15310848\"]\n  7 -> 18 [size =\"15310848\"]\n  7 -> 20 [size =\"15310848\"]\n  7 -> 21 [size =\"15310848\"]\n  7 -> 25 [size =\"15310848\"]\n  7 -> 26 [size =\"15310848\"]\n  7 -> 29 [size =\"15310848\"]\n  8 [size=\"19249152\", alpha=\"0.17\", expect_size=\"9624576\"] \n  8 -> 15 [size =\"9624576\"]\n  8 -> 20 [size =\"9624576\"]\n  8 -> 21 [size =\"9624576\"]\n  8 -> 21 [size =\"9624576\"]\n  8 -> 22 [size =\"9624576\"]\n  8 -> 25 [size =\"9624576\"]\n  8 -> 26 [size =\"9624576\"]\n  8 -> 30 [size =\"9624576\"]\n  9 [size=\"60092416\", alpha=\"0.13\", expect_size=\"30046208\"] \n  9 -> 15 [size =\"30046208\"]\n  9 -> 17 [size =\"30046208\"]\n  9 -> 21 [size =\"30046208\"]\n  9 -> 22 [size =\"30046208\"]\n  9 -> 26 [size =\"30046208\"]\n  9 -> 27 [size =\"30046208\"]\n  10 [size=\"92358656\", alpha=\"0.17\", expect_size=\"46179328\"] \n  10 -> 15 [size =\"46179328\"]\n  10 -> 16 [size =\"46179328\"]\n  10 -> 20 [size =\"46179328\"]\n  10 -> 21 [size =\"46179328\"]\n  10 -> 22 [size =\"46179328\"]\n  10 -> 26 [size =\"46179328\"]\n  10 -> 27 [size =\"46179328\"]\n  11 [size=\"28717056\", alpha=\"0.12\", expect_size=\"14358528\"] \n  11 -> 15 [size =\"14358528\"]\n  11 -> 16 [size =\"14358528\"]\n  11 -> 20 [size =\"14358528\"]\n  11 -> 22 [size =\"14358528\"]\n  11 -> 22 [size =\"14358528\"]\n  11 -> 26 [size =\"14358528\"]\n  11 -> 27 [size =\"14358528\"]\n  11 -> 28 [size =\"14358528\"]\n  11 -> 30 [size =\"14358528\"]\n  12 [size=\"22538240\", alpha=\"0.12\", expect_size=\"11269120\"] \n  12 -> 15 [size =\"11269120\"]\n  12 -> 20 [size =\"11269120\"]\n  12 -> 23 [size =\"11269120\"]\n  12 -> 24 [size =\"11269120\"]\n  12 -> 25 [size =\"11269120\"]\n  12 -> 26 [size =\"11269120\"]\n  12 -> 29 [size =\"11269120\"]\n  13 [size=\"31201280\", alpha=\"0.06\", expect_size=\"15600640\"] \n  13 -> 16 [size =\"15600640\"]\n  13 -> 18 [size =\"15600640\"]\n  13 -> 22 [size =\"15600640\"]\n  13 -> 25 [size =\"15600640\"]\n  13 -> 26 [size =\"15600640\"]\n  13 -> 27 [size =\"15600640\"]\n  14 [size=\"72173568\", alpha=\"0.00\", expect_size=\"36086784\"] \n  14 -> 15 [size =\"36086784\"]\n  14 -> 18 [size =\"36086784\"]\n  14 -> 19 [size =\"36086784\"]\n  14 -> 21 [size =\"36086784\"]\n  14 -> 22 [size =\"36086784\"]\n  14 -> 23 [size =\"36086784\"]\n  14 -> 26 [size =\"36086784\"]\n  15 [size=\"40890368\", alpha=\"0.09\", expect_size=\"20445184\"] \n  16 [size=\"28835840\", alpha=\"0.08\", expect_size=\"14417920\"] \n  17 [size=\"33198080\", alpha=\"0.16\", expect_size=\"16599040\"] \n  18 [size=\"68681728\", alpha=\"0.03\", expect_size=\"34340864\"] \n  19 [size=\"53694464\", alpha=\"0.17\", expect_size=\"26847232\"] \n  20 [size=\"22394880\", alpha=\"0.01\", expect_size=\"11197440\"] \n  21 [size=\"103282688\", alpha=\"0.18\", expect_size=\"51641344\"] \n  22 [size=\"63379456\", alpha=\"0.19\", expect_size=\"31689728\"] \n  23 [size=\"26963968\", alpha=\"0.06\", expect_size=\"13481984\"] \n  24 [size=\"56854528\", alpha=\"0.11\", expect_size=\"28427264\"] \n  25 [size=\"58849280\", alpha=\"0.03\", expect_size=\"29424640\"] \n  26 [size=\"100794368\", alpha=\"0.06\", expect_size=\"50397184\"] \n  27 [size=\"44943360\", alpha=\"0.12\", expect_size=\"22471680\"] \n  28 [size=\"23865344\", alpha=\"0.01\", expect_size=\"11932672\"] \n  29 [size=\"40022016\", alpha=\"0.00\", expect_size=\"20011008\"] \n  30 [size=\"27574272\", alpha=\"0.17\", expect_size=\"13787136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57518080\", alpha=\"0.10\", expect_size=\"23007232\"] \n  1 -> 2 [size =\"23007232\"]\n  2 [size=\"106186240\", alpha=\"0.17\", expect_size=\"42474496\"] \n  2 -> 3 [size =\"42474496\"]\n  3 [size=\"108436480\", alpha=\"0.12\", expect_size=\"43374592\"] \n  3 -> 4 [size =\"43374592\"]\n  4 [size=\"114862080\", alpha=\"0.18\", expect_size=\"45944832\"] \n  4 -> 5 [size =\"45944832\"]\n  4 -> 6 [size =\"45944832\"]\n  5 [size=\"44830720\", alpha=\"0.05\", expect_size=\"17932288\"] \n  5 -> 7 [size =\"17932288\"]\n  5 -> 8 [size =\"17932288\"]\n  6 [size=\"87421440\", alpha=\"0.16\", expect_size=\"34968576\"] \n  6 -> 7 [size =\"34968576\"]\n  6 -> 8 [size =\"34968576\"]\n  7 [size=\"59069440\", alpha=\"0.15\", expect_size=\"23627776\"] \n  7 -> 9 [size =\"23627776\"]\n  7 -> 10 [size =\"23627776\"]\n  8 [size=\"103011840\", alpha=\"0.09\", expect_size=\"41204736\"] \n  8 -> 9 [size =\"41204736\"]\n  9 [size=\"44912640\", alpha=\"0.16\", expect_size=\"17965056\"] \n  9 -> 11 [size =\"17965056\"]\n  10 [size=\"26378240\", alpha=\"0.07\", expect_size=\"10551296\"] \n  10 -> 11 [size =\"10551296\"]\n  11 [size=\"126686720\", alpha=\"0.14\", expect_size=\"50674688\"] \n  11 -> 12 [size =\"50674688\"]\n  11 -> 13 [size =\"50674688\"]\n  12 [size=\"64998400\", alpha=\"0.11\", expect_size=\"25999360\"] \n  13 [size=\"47746560\", alpha=\"0.00\", expect_size=\"19098624\"] \n  13 -> 14 [size =\"19098624\"]\n  14 [size=\"117094400\", alpha=\"0.10\", expect_size=\"46837760\"] \n  14 -> 15 [size =\"46837760\"]\n  15 [size=\"104476160\", alpha=\"0.03\", expect_size=\"41790464\"] \n  15 -> 16 [size =\"41790464\"]\n  15 -> 17 [size =\"41790464\"]\n  16 [size=\"13839360\", alpha=\"0.13\", expect_size=\"5535744\"] \n  16 -> 18 [size =\"5535744\"]\n  16 -> 19 [size =\"5535744\"]\n  17 [size=\"109872640\", alpha=\"0.06\", expect_size=\"43949056\"] \n  17 -> 18 [size =\"43949056\"]\n  17 -> 19 [size =\"43949056\"]\n  18 [size=\"79045120\", alpha=\"0.08\", expect_size=\"31618048\"] \n  18 -> 20 [size =\"31618048\"]\n  18 -> 21 [size =\"31618048\"]\n  19 [size=\"14904320\", alpha=\"0.06\", expect_size=\"5961728\"] \n  20 [size=\"111518720\", alpha=\"0.18\", expect_size=\"44607488\"] \n  20 -> 22 [size =\"44607488\"]\n  21 [size=\"35540480\", alpha=\"0.18\", expect_size=\"14216192\"] \n  21 -> 22 [size =\"14216192\"]\n  22 [size=\"120222720\", alpha=\"0.14\", expect_size=\"48089088\"] \n  22 -> 23 [size =\"48089088\"]\n  22 -> 24 [size =\"48089088\"]\n  23 [size=\"68103680\", alpha=\"0.06\", expect_size=\"27241472\"] \n  23 -> 25 [size =\"27241472\"]\n  23 -> 26 [size =\"27241472\"]\n  24 [size=\"69319680\", alpha=\"0.15\", expect_size=\"27727872\"] \n  24 -> 26 [size =\"27727872\"]\n  25 [size=\"130019840\", alpha=\"0.10\", expect_size=\"52007936\"] \n  25 -> 27 [size =\"52007936\"]\n  25 -> 28 [size =\"52007936\"]\n  26 [size=\"32486400\", alpha=\"0.17\", expect_size=\"12994560\"] \n  26 -> 27 [size =\"12994560\"]\n  27 [size=\"107683840\", alpha=\"0.12\", expect_size=\"43073536\"] \n  27 -> 29 [size =\"43073536\"]\n  27 -> 30 [size =\"43073536\"]\n  28 [size=\"23600640\", alpha=\"0.02\", expect_size=\"9440256\"] \n  28 -> 29 [size =\"9440256\"]\n  29 [size=\"70118400\", alpha=\"0.18\", expect_size=\"28047360\"] \n  30 [size=\"102968320\", alpha=\"0.16\", expect_size=\"41187328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85555200\", alpha=\"0.05\", expect_size=\"25666560\"] \n  2 [size=\"78677333\", alpha=\"0.14\", expect_size=\"23603200\"] \n  2 -> 5 [size =\"23603200\"]\n  2 -> 6 [size =\"23603200\"]\n  2 -> 7 [size =\"23603200\"]\n  3 [size=\"84435627\", alpha=\"0.16\", expect_size=\"25330688\"] \n  3 -> 4 [size =\"25330688\"]\n  3 -> 6 [size =\"25330688\"]\n  3 -> 8 [size =\"25330688\"]\n  4 [size=\"113930240\", alpha=\"0.13\", expect_size=\"34179072\"] \n  5 [size=\"100048213\", alpha=\"0.06\", expect_size=\"30014464\"] \n  5 -> 9 [size =\"30014464\"]\n  5 -> 10 [size =\"30014464\"]\n  5 -> 11 [size =\"30014464\"]\n  5 -> 13 [size =\"30014464\"]\n  6 [size=\"146606080\", alpha=\"0.12\", expect_size=\"43981824\"] \n  6 -> 12 [size =\"43981824\"]\n  6 -> 13 [size =\"43981824\"]\n  7 [size=\"136004267\", alpha=\"0.15\", expect_size=\"40801280\"] \n  7 -> 10 [size =\"40801280\"]\n  7 -> 12 [size =\"40801280\"]\n  8 [size=\"141318827\", alpha=\"0.08\", expect_size=\"42395648\"] \n  8 -> 11 [size =\"42395648\"]\n  9 [size=\"115083947\", alpha=\"0.01\", expect_size=\"34525184\"] \n  9 -> 15 [size =\"34525184\"]\n  10 [size=\"61603840\", alpha=\"0.19\", expect_size=\"18481152\"] \n  10 -> 16 [size =\"18481152\"]\n  11 [size=\"48042667\", alpha=\"0.18\", expect_size=\"14412800\"] \n  11 -> 14 [size =\"14412800\"]\n  11 -> 16 [size =\"14412800\"]\n  12 [size=\"89719467\", alpha=\"0.19\", expect_size=\"26915840\"] \n  12 -> 14 [size =\"26915840\"]\n  12 -> 16 [size =\"26915840\"]\n  12 -> 18 [size =\"26915840\"]\n  13 [size=\"42164907\", alpha=\"0.01\", expect_size=\"12649472\"] \n  13 -> 14 [size =\"12649472\"]\n  13 -> 15 [size =\"12649472\"]\n  13 -> 17 [size =\"12649472\"]\n  13 -> 18 [size =\"12649472\"]\n  14 [size=\"171523413\", alpha=\"0.18\", expect_size=\"51457024\"] \n  14 -> 20 [size =\"51457024\"]\n  14 -> 21 [size =\"51457024\"]\n  14 -> 22 [size =\"51457024\"]\n  14 -> 24 [size =\"51457024\"]\n  14 -> 24 [size =\"51457024\"]\n  15 [size=\"113998507\", alpha=\"0.05\", expect_size=\"34199552\"] \n  16 [size=\"162713600\", alpha=\"0.05\", expect_size=\"48814080\"] \n  16 -> 23 [size =\"48814080\"]\n  17 [size=\"97109333\", alpha=\"0.09\", expect_size=\"29132800\"] \n  17 -> 19 [size =\"29132800\"]\n  17 -> 20 [size =\"29132800\"]\n  17 -> 23 [size =\"29132800\"]\n  18 [size=\"54514347\", alpha=\"0.08\", expect_size=\"16354304\"] \n  18 -> 19 [size =\"16354304\"]\n  18 -> 20 [size =\"16354304\"]\n  18 -> 21 [size =\"16354304\"]\n  18 -> 22 [size =\"16354304\"]\n  18 -> 24 [size =\"16354304\"]\n  19 [size=\"118824960\", alpha=\"0.08\", expect_size=\"35647488\"] \n  19 -> 25 [size =\"35647488\"]\n  19 -> 26 [size =\"35647488\"]\n  19 -> 28 [size =\"35647488\"]\n  20 [size=\"125948587\", alpha=\"0.04\", expect_size=\"37784576\"] \n  20 -> 26 [size =\"37784576\"]\n  20 -> 27 [size =\"37784576\"]\n  21 [size=\"119575893\", alpha=\"0.08\", expect_size=\"35872768\"] \n  21 -> 25 [size =\"35872768\"]\n  22 [size=\"107052373\", alpha=\"0.00\", expect_size=\"32115712\"] \n  22 -> 25 [size =\"32115712\"]\n  22 -> 27 [size =\"32115712\"]\n  22 -> 29 [size =\"32115712\"]\n  23 [size=\"97764693\", alpha=\"0.01\", expect_size=\"29329408\"] \n  23 -> 26 [size =\"29329408\"]\n  23 -> 27 [size =\"29329408\"]\n  23 -> 29 [size =\"29329408\"]\n  23 -> 30 [size =\"29329408\"]\n  24 [size=\"103492267\", alpha=\"0.14\", expect_size=\"31047680\"] \n  24 -> 28 [size =\"31047680\"]\n  25 [size=\"84125013\", alpha=\"0.18\", expect_size=\"25237504\"] \n  26 [size=\"121275733\", alpha=\"0.18\", expect_size=\"36382720\"] \n  27 [size=\"161648640\", alpha=\"0.13\", expect_size=\"48494592\"] \n  28 [size=\"76485973\", alpha=\"0.03\", expect_size=\"22945792\"] \n  29 [size=\"139127467\", alpha=\"0.06\", expect_size=\"41738240\"] \n  30 [size=\"44656640\", alpha=\"0.15\", expect_size=\"13396992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73871360\", alpha=\"0.11\", expect_size=\"36935680\"] \n  1 -> 4 [size =\"36935680\"]\n  1 -> 6 [size =\"36935680\"]\n  1 -> 7 [size =\"36935680\"]\n  1 -> 8 [size =\"36935680\"]\n  1 -> 9 [size =\"36935680\"]\n  2 [size=\"73885696\", alpha=\"0.05\", expect_size=\"36942848\"] \n  2 -> 4 [size =\"36942848\"]\n  2 -> 6 [size =\"36942848\"]\n  2 -> 7 [size =\"36942848\"]\n  2 -> 8 [size =\"36942848\"]\n  2 -> 9 [size =\"36942848\"]\n  3 [size=\"37255168\", alpha=\"0.07\", expect_size=\"18627584\"] \n  3 -> 4 [size =\"18627584\"]\n  3 -> 5 [size =\"18627584\"]\n  3 -> 6 [size =\"18627584\"]\n  3 -> 7 [size =\"18627584\"]\n  3 -> 8 [size =\"18627584\"]\n  3 -> 9 [size =\"18627584\"]\n  4 [size=\"96452608\", alpha=\"0.07\", expect_size=\"48226304\"] \n  4 -> 11 [size =\"48226304\"]\n  4 -> 12 [size =\"48226304\"]\n  4 -> 13 [size =\"48226304\"]\n  4 -> 14 [size =\"48226304\"]\n  5 [size=\"58400768\", alpha=\"0.02\", expect_size=\"29200384\"] \n  5 -> 11 [size =\"29200384\"]\n  5 -> 13 [size =\"29200384\"]\n  5 -> 13 [size =\"29200384\"]\n  5 -> 14 [size =\"29200384\"]\n  6 [size=\"74055680\", alpha=\"0.02\", expect_size=\"37027840\"] \n  6 -> 11 [size =\"37027840\"]\n  6 -> 13 [size =\"37027840\"]\n  6 -> 14 [size =\"37027840\"]\n  7 [size=\"88958976\", alpha=\"0.04\", expect_size=\"44479488\"] \n  7 -> 10 [size =\"44479488\"]\n  7 -> 11 [size =\"44479488\"]\n  7 -> 14 [size =\"44479488\"]\n  8 [size=\"87709696\", alpha=\"0.06\", expect_size=\"43854848\"] \n  8 -> 11 [size =\"43854848\"]\n  8 -> 13 [size =\"43854848\"]\n  8 -> 14 [size =\"43854848\"]\n  9 [size=\"75388928\", alpha=\"0.11\", expect_size=\"37694464\"] \n  9 -> 10 [size =\"37694464\"]\n  9 -> 11 [size =\"37694464\"]\n  9 -> 13 [size =\"37694464\"]\n  9 -> 14 [size =\"37694464\"]\n  10 [size=\"47908864\", alpha=\"0.11\", expect_size=\"23954432\"] \n  10 -> 16 [size =\"23954432\"]\n  10 -> 17 [size =\"23954432\"]\n  11 [size=\"32524288\", alpha=\"0.14\", expect_size=\"16262144\"] \n  11 -> 15 [size =\"16262144\"]\n  11 -> 16 [size =\"16262144\"]\n  12 [size=\"83308544\", alpha=\"0.06\", expect_size=\"41654272\"] \n  12 -> 16 [size =\"41654272\"]\n  12 -> 16 [size =\"41654272\"]\n  13 [size=\"11374592\", alpha=\"0.16\", expect_size=\"5687296\"] \n  13 -> 16 [size =\"5687296\"]\n  14 [size=\"46252032\", alpha=\"0.17\", expect_size=\"23126016\"] \n  14 -> 15 [size =\"23126016\"]\n  14 -> 17 [size =\"23126016\"]\n  15 [size=\"77015040\", alpha=\"0.02\", expect_size=\"38507520\"] \n  15 -> 18 [size =\"38507520\"]\n  15 -> 19 [size =\"38507520\"]\n  15 -> 22 [size =\"38507520\"]\n  15 -> 23 [size =\"38507520\"]\n  16 [size=\"87040000\", alpha=\"0.10\", expect_size=\"43520000\"] \n  16 -> 18 [size =\"43520000\"]\n  16 -> 19 [size =\"43520000\"]\n  16 -> 20 [size =\"43520000\"]\n  17 [size=\"97652736\", alpha=\"0.07\", expect_size=\"48826368\"] \n  17 -> 18 [size =\"48826368\"]\n  17 -> 19 [size =\"48826368\"]\n  17 -> 20 [size =\"48826368\"]\n  17 -> 21 [size =\"48826368\"]\n  17 -> 23 [size =\"48826368\"]\n  18 [size=\"20684800\", alpha=\"0.05\", expect_size=\"10342400\"] \n  18 -> 25 [size =\"10342400\"]\n  19 [size=\"50335744\", alpha=\"0.15\", expect_size=\"25167872\"] \n  19 -> 25 [size =\"25167872\"]\n  20 [size=\"102612992\", alpha=\"0.06\", expect_size=\"51306496\"] \n  20 -> 25 [size =\"51306496\"]\n  21 [size=\"61106176\", alpha=\"0.11\", expect_size=\"30553088\"] \n  21 -> 24 [size =\"30553088\"]\n  21 -> 25 [size =\"30553088\"]\n  22 [size=\"32022528\", alpha=\"0.09\", expect_size=\"16011264\"] \n  22 -> 24 [size =\"16011264\"]\n  22 -> 25 [size =\"16011264\"]\n  23 [size=\"61067264\", alpha=\"0.13\", expect_size=\"30533632\"] \n  23 -> 24 [size =\"30533632\"]\n  23 -> 25 [size =\"30533632\"]\n  24 [size=\"40646656\", alpha=\"0.15\", expect_size=\"20323328\"] \n  24 -> 26 [size =\"20323328\"]\n  24 -> 27 [size =\"20323328\"]\n  25 [size=\"28289024\", alpha=\"0.07\", expect_size=\"14144512\"] \n  25 -> 26 [size =\"14144512\"]\n  25 -> 27 [size =\"14144512\"]\n  26 [size=\"35840000\", alpha=\"0.13\", expect_size=\"17920000\"] \n  26 -> 28 [size =\"17920000\"]\n  26 -> 29 [size =\"17920000\"]\n  26 -> 30 [size =\"17920000\"]\n  27 [size=\"82608128\", alpha=\"0.15\", expect_size=\"41304064\"] \n  27 -> 28 [size =\"41304064\"]\n  27 -> 29 [size =\"41304064\"]\n  28 [size=\"20101120\", alpha=\"0.13\", expect_size=\"10050560\"] \n  29 [size=\"45453312\", alpha=\"0.06\", expect_size=\"22726656\"] \n  30 [size=\"22857728\", alpha=\"0.06\", expect_size=\"11428864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88785920\", alpha=\"0.14\", expect_size=\"35514368\"] \n  1 -> 3 [size =\"35514368\"]\n  2 [size=\"120995840\", alpha=\"0.16\", expect_size=\"48398336\"] \n  2 -> 3 [size =\"48398336\"]\n  3 [size=\"86359040\", alpha=\"0.02\", expect_size=\"34543616\"] \n  3 -> 4 [size =\"34543616\"]\n  4 [size=\"52846080\", alpha=\"0.04\", expect_size=\"21138432\"] \n  4 -> 5 [size =\"21138432\"]\n  5 [size=\"105175040\", alpha=\"0.09\", expect_size=\"42070016\"] \n  5 -> 6 [size =\"42070016\"]\n  6 [size=\"119303680\", alpha=\"0.14\", expect_size=\"47721472\"] \n  6 -> 7 [size =\"47721472\"]\n  7 [size=\"58224640\", alpha=\"0.20\", expect_size=\"23289856\"] \n  7 -> 8 [size =\"23289856\"]\n  8 [size=\"73989120\", alpha=\"0.14\", expect_size=\"29595648\"] \n  8 -> 9 [size =\"29595648\"]\n  8 -> 10 [size =\"29595648\"]\n  9 [size=\"24161280\", alpha=\"0.05\", expect_size=\"9664512\"] \n  9 -> 11 [size =\"9664512\"]\n  10 [size=\"86010880\", alpha=\"0.10\", expect_size=\"34404352\"] \n  11 [size=\"116838400\", alpha=\"0.17\", expect_size=\"46735360\"] \n  11 -> 12 [size =\"46735360\"]\n  12 [size=\"83921920\", alpha=\"0.06\", expect_size=\"33568768\"] \n  12 -> 13 [size =\"33568768\"]\n  13 [size=\"61278720\", alpha=\"0.05\", expect_size=\"24511488\"] \n  13 -> 14 [size =\"24511488\"]\n  14 [size=\"73507840\", alpha=\"0.05\", expect_size=\"29403136\"] \n  14 -> 15 [size =\"29403136\"]\n  15 [size=\"96204800\", alpha=\"0.05\", expect_size=\"38481920\"] \n  15 -> 16 [size =\"38481920\"]\n  15 -> 17 [size =\"38481920\"]\n  16 [size=\"33694720\", alpha=\"0.01\", expect_size=\"13477888\"] \n  16 -> 19 [size =\"13477888\"]\n  17 [size=\"116080640\", alpha=\"0.20\", expect_size=\"46432256\"] \n  17 -> 18 [size =\"46432256\"]\n  17 -> 19 [size =\"46432256\"]\n  18 [size=\"115036160\", alpha=\"0.14\", expect_size=\"46014464\"] \n  18 -> 21 [size =\"46014464\"]\n  19 [size=\"78842880\", alpha=\"0.11\", expect_size=\"31537152\"] \n  19 -> 20 [size =\"31537152\"]\n  20 [size=\"108272640\", alpha=\"0.08\", expect_size=\"43309056\"] \n  21 [size=\"47403520\", alpha=\"0.18\", expect_size=\"18961408\"] \n  21 -> 22 [size =\"18961408\"]\n  22 [size=\"32373760\", alpha=\"0.06\", expect_size=\"12949504\"] \n  22 -> 23 [size =\"12949504\"]\n  22 -> 24 [size =\"12949504\"]\n  23 [size=\"68510720\", alpha=\"0.06\", expect_size=\"27404288\"] \n  23 -> 26 [size =\"27404288\"]\n  24 [size=\"100177920\", alpha=\"0.13\", expect_size=\"40071168\"] \n  24 -> 25 [size =\"40071168\"]\n  24 -> 26 [size =\"40071168\"]\n  25 [size=\"127544320\", alpha=\"0.16\", expect_size=\"51017728\"] \n  25 -> 27 [size =\"51017728\"]\n  26 [size=\"38607360\", alpha=\"0.16\", expect_size=\"15442944\"] \n  26 -> 28 [size =\"15442944\"]\n  27 [size=\"44431360\", alpha=\"0.05\", expect_size=\"17772544\"] \n  28 [size=\"43013120\", alpha=\"0.03\", expect_size=\"17205248\"] \n  28 -> 29 [size =\"17205248\"]\n  29 [size=\"123863040\", alpha=\"0.04\", expect_size=\"49545216\"] \n  29 -> 30 [size =\"49545216\"]\n  30 [size=\"73459200\", alpha=\"0.16\", expect_size=\"29383680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85278720\", alpha=\"0.18\", expect_size=\"25583616\"] \n  1 -> 2 [size =\"25583616\"]\n  2 [size=\"122371413\", alpha=\"0.02\", expect_size=\"36711424\"] \n  2 -> 3 [size =\"36711424\"]\n  2 -> 4 [size =\"36711424\"]\n  3 [size=\"110325760\", alpha=\"0.12\", expect_size=\"33097728\"] \n  4 [size=\"94405973\", alpha=\"0.02\", expect_size=\"28321792\"] \n  4 -> 5 [size =\"28321792\"]\n  5 [size=\"31443627\", alpha=\"0.13\", expect_size=\"9433088\"] \n  5 -> 6 [size =\"9433088\"]\n  5 -> 7 [size =\"9433088\"]\n  6 [size=\"151756800\", alpha=\"0.09\", expect_size=\"45527040\"] \n  6 -> 8 [size =\"45527040\"]\n  7 [size=\"150770347\", alpha=\"0.12\", expect_size=\"45231104\"] \n  7 -> 9 [size =\"45231104\"]\n  8 [size=\"104338773\", alpha=\"0.01\", expect_size=\"31301632\"] \n  8 -> 10 [size =\"31301632\"]\n  9 [size=\"151207253\", alpha=\"0.12\", expect_size=\"45362176\"] \n  10 [size=\"117736107\", alpha=\"0.20\", expect_size=\"35320832\"] \n  10 -> 11 [size =\"35320832\"]\n  10 -> 12 [size =\"35320832\"]\n  11 [size=\"67409920\", alpha=\"0.15\", expect_size=\"20222976\"] \n  11 -> 13 [size =\"20222976\"]\n  12 [size=\"52408320\", alpha=\"0.18\", expect_size=\"15722496\"] \n  12 -> 14 [size =\"15722496\"]\n  13 [size=\"66618027\", alpha=\"0.20\", expect_size=\"19985408\"] \n  14 [size=\"161505280\", alpha=\"0.08\", expect_size=\"48451584\"] \n  14 -> 15 [size =\"48451584\"]\n  15 [size=\"19677867\", alpha=\"0.20\", expect_size=\"5903360\"] \n  15 -> 16 [size =\"5903360\"]\n  16 [size=\"118900053\", alpha=\"0.15\", expect_size=\"35670016\"] \n  16 -> 17 [size =\"35670016\"]\n  16 -> 18 [size =\"35670016\"]\n  17 [size=\"30306987\", alpha=\"0.14\", expect_size=\"9092096\"] \n  18 [size=\"125487787\", alpha=\"0.02\", expect_size=\"37646336\"] \n  18 -> 19 [size =\"37646336\"]\n  19 [size=\"134000640\", alpha=\"0.17\", expect_size=\"40200192\"] \n  19 -> 20 [size =\"40200192\"]\n  20 [size=\"73294507\", alpha=\"0.16\", expect_size=\"21988352\"] \n  20 -> 21 [size =\"21988352\"]\n  21 [size=\"72041813\", alpha=\"0.04\", expect_size=\"21612544\"] \n  21 -> 22 [size =\"21612544\"]\n  22 [size=\"33058133\", alpha=\"0.05\", expect_size=\"9917440\"] \n  22 -> 23 [size =\"9917440\"]\n  22 -> 24 [size =\"9917440\"]\n  23 [size=\"172448427\", alpha=\"0.18\", expect_size=\"51734528\"] \n  24 [size=\"170158080\", alpha=\"0.00\", expect_size=\"51047424\"] \n  24 -> 25 [size =\"51047424\"]\n  24 -> 26 [size =\"51047424\"]\n  25 [size=\"74891947\", alpha=\"0.05\", expect_size=\"22467584\"] \n  25 -> 27 [size =\"22467584\"]\n  26 [size=\"74574507\", alpha=\"0.06\", expect_size=\"22372352\"] \n  27 [size=\"32539307\", alpha=\"0.04\", expect_size=\"9761792\"] \n  27 -> 28 [size =\"9761792\"]\n  28 [size=\"145995093\", alpha=\"0.14\", expect_size=\"43798528\"] \n  28 -> 29 [size =\"43798528\"]\n  28 -> 30 [size =\"43798528\"]\n  29 [size=\"161723733\", alpha=\"0.00\", expect_size=\"48517120\"] \n  30 [size=\"137267200\", alpha=\"0.20\", expect_size=\"41180160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62696960\", alpha=\"0.17\", expect_size=\"25078784\"] \n  1 -> 10 [size =\"25078784\"]\n  2 [size=\"58081280\", alpha=\"0.13\", expect_size=\"23232512\"] \n  2 -> 10 [size =\"23232512\"]\n  2 -> 11 [size =\"23232512\"]\n  2 -> 13 [size =\"23232512\"]\n  2 -> 17 [size =\"23232512\"]\n  3 [size=\"90572800\", alpha=\"0.09\", expect_size=\"36229120\"] \n  3 -> 10 [size =\"36229120\"]\n  3 -> 11 [size =\"36229120\"]\n  3 -> 15 [size =\"36229120\"]\n  4 [size=\"115171840\", alpha=\"0.20\", expect_size=\"46068736\"] \n  4 -> 11 [size =\"46068736\"]\n  4 -> 12 [size =\"46068736\"]\n  4 -> 13 [size =\"46068736\"]\n  5 [size=\"19783680\", alpha=\"0.08\", expect_size=\"7913472\"] \n  5 -> 10 [size =\"7913472\"]\n  5 -> 11 [size =\"7913472\"]\n  5 -> 12 [size =\"7913472\"]\n  5 -> 13 [size =\"7913472\"]\n  5 -> 16 [size =\"7913472\"]\n  6 [size=\"45872640\", alpha=\"0.17\", expect_size=\"18349056\"] \n  6 -> 10 [size =\"18349056\"]\n  6 -> 12 [size =\"18349056\"]\n  7 [size=\"78231040\", alpha=\"0.04\", expect_size=\"31292416\"] \n  7 -> 10 [size =\"31292416\"]\n  7 -> 13 [size =\"31292416\"]\n  7 -> 14 [size =\"31292416\"]\n  7 -> 16 [size =\"31292416\"]\n  8 [size=\"116800000\", alpha=\"0.04\", expect_size=\"46720000\"] \n  8 -> 10 [size =\"46720000\"]\n  8 -> 11 [size =\"46720000\"]\n  8 -> 13 [size =\"46720000\"]\n  9 [size=\"109004800\", alpha=\"0.17\", expect_size=\"43601920\"] \n  10 [size=\"42224640\", alpha=\"0.11\", expect_size=\"16889856\"] \n  10 -> 19 [size =\"16889856\"]\n  10 -> 21 [size =\"16889856\"]\n  10 -> 22 [size =\"16889856\"]\n  10 -> 25 [size =\"16889856\"]\n  10 -> 28 [size =\"16889856\"]\n  11 [size=\"111267840\", alpha=\"0.05\", expect_size=\"44507136\"] \n  11 -> 18 [size =\"44507136\"]\n  11 -> 19 [size =\"44507136\"]\n  11 -> 21 [size =\"44507136\"]\n  11 -> 23 [size =\"44507136\"]\n  12 [size=\"92810240\", alpha=\"0.02\", expect_size=\"37124096\"] \n  12 -> 18 [size =\"37124096\"]\n  12 -> 22 [size =\"37124096\"]\n  12 -> 23 [size =\"37124096\"]\n  12 -> 25 [size =\"37124096\"]\n  13 [size=\"51952640\", alpha=\"0.04\", expect_size=\"20781056\"] \n  13 -> 19 [size =\"20781056\"]\n  13 -> 20 [size =\"20781056\"]\n  14 [size=\"103708160\", alpha=\"0.18\", expect_size=\"41483264\"] \n  14 -> 20 [size =\"41483264\"]\n  14 -> 21 [size =\"41483264\"]\n  14 -> 25 [size =\"41483264\"]\n  14 -> 26 [size =\"41483264\"]\n  14 -> 27 [size =\"41483264\"]\n  15 [size=\"103687680\", alpha=\"0.20\", expect_size=\"41475072\"] \n  15 -> 19 [size =\"41475072\"]\n  15 -> 20 [size =\"41475072\"]\n  15 -> 22 [size =\"41475072\"]\n  15 -> 23 [size =\"41475072\"]\n  15 -> 24 [size =\"41475072\"]\n  15 -> 27 [size =\"41475072\"]\n  16 [size=\"34606080\", alpha=\"0.18\", expect_size=\"13842432\"] \n  16 -> 19 [size =\"13842432\"]\n  16 -> 23 [size =\"13842432\"]\n  16 -> 25 [size =\"13842432\"]\n  16 -> 26 [size =\"13842432\"]\n  16 -> 27 [size =\"13842432\"]\n  16 -> 27 [size =\"13842432\"]\n  17 [size=\"19765760\", alpha=\"0.00\", expect_size=\"7906304\"] \n  17 -> 22 [size =\"7906304\"]\n  17 -> 26 [size =\"7906304\"]\n  17 -> 27 [size =\"7906304\"]\n  18 [size=\"41643520\", alpha=\"0.08\", expect_size=\"16657408\"] \n  18 -> 30 [size =\"16657408\"]\n  19 [size=\"65879040\", alpha=\"0.09\", expect_size=\"26351616\"] \n  19 -> 30 [size =\"26351616\"]\n  20 [size=\"47400960\", alpha=\"0.18\", expect_size=\"18960384\"] \n  20 -> 29 [size =\"18960384\"]\n  21 [size=\"110965760\", alpha=\"0.15\", expect_size=\"44386304\"] \n  21 -> 29 [size =\"44386304\"]\n  22 [size=\"23664640\", alpha=\"0.20\", expect_size=\"9465856\"] \n  22 -> 29 [size =\"9465856\"]\n  23 [size=\"35617280\", alpha=\"0.17\", expect_size=\"14246912\"] \n  23 -> 29 [size =\"14246912\"]\n  24 [size=\"61624320\", alpha=\"0.12\", expect_size=\"24649728\"] \n  24 -> 30 [size =\"24649728\"]\n  25 [size=\"50864640\", alpha=\"0.08\", expect_size=\"20345856\"] \n  25 -> 30 [size =\"20345856\"]\n  26 [size=\"50552320\", alpha=\"0.10\", expect_size=\"20220928\"] \n  26 -> 29 [size =\"20220928\"]\n  26 -> 30 [size =\"20220928\"]\n  27 [size=\"36523520\", alpha=\"0.03\", expect_size=\"14609408\"] \n  27 -> 29 [size =\"14609408\"]\n  28 [size=\"38561280\", alpha=\"0.13\", expect_size=\"15424512\"] \n  28 -> 29 [size =\"15424512\"]\n  28 -> 30 [size =\"15424512\"]\n  29 [size=\"83025920\", alpha=\"0.20\", expect_size=\"33210368\"] \n  30 [size=\"21025280\", alpha=\"0.11\", expect_size=\"8410112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21649920\", alpha=\"0.08\", expect_size=\"8659968\"] \n  1 -> 2 [size =\"8659968\"]\n  2 [size=\"57054720\", alpha=\"0.13\", expect_size=\"22821888\"] \n  2 -> 3 [size =\"22821888\"]\n  3 [size=\"17192960\", alpha=\"0.13\", expect_size=\"6877184\"] \n  3 -> 4 [size =\"6877184\"]\n  4 [size=\"129474560\", alpha=\"0.17\", expect_size=\"51789824\"] \n  4 -> 5 [size =\"51789824\"]\n  5 [size=\"63708160\", alpha=\"0.06\", expect_size=\"25483264\"] \n  5 -> 6 [size =\"25483264\"]\n  6 [size=\"83919360\", alpha=\"0.04\", expect_size=\"33567744\"] \n  6 -> 7 [size =\"33567744\"]\n  7 [size=\"38768640\", alpha=\"0.17\", expect_size=\"15507456\"] \n  7 -> 8 [size =\"15507456\"]\n  8 [size=\"42193920\", alpha=\"0.06\", expect_size=\"16877568\"] \n  8 -> 9 [size =\"16877568\"]\n  9 [size=\"28003840\", alpha=\"0.03\", expect_size=\"11201536\"] \n  9 -> 10 [size =\"11201536\"]\n  10 [size=\"120166400\", alpha=\"0.03\", expect_size=\"48066560\"] \n  10 -> 11 [size =\"48066560\"]\n  11 [size=\"29135360\", alpha=\"0.06\", expect_size=\"11654144\"] \n  11 -> 12 [size =\"11654144\"]\n  12 [size=\"74529280\", alpha=\"0.03\", expect_size=\"29811712\"] \n  12 -> 13 [size =\"29811712\"]\n  13 [size=\"36177920\", alpha=\"0.02\", expect_size=\"14471168\"] \n  13 -> 14 [size =\"14471168\"]\n  14 [size=\"112647680\", alpha=\"0.18\", expect_size=\"45059072\"] \n  14 -> 15 [size =\"45059072\"]\n  15 [size=\"92157440\", alpha=\"0.18\", expect_size=\"36862976\"] \n  15 -> 16 [size =\"36862976\"]\n  16 [size=\"127303680\", alpha=\"0.06\", expect_size=\"50921472\"] \n  16 -> 17 [size =\"50921472\"]\n  17 [size=\"35420160\", alpha=\"0.11\", expect_size=\"14168064\"] \n  17 -> 18 [size =\"14168064\"]\n  18 [size=\"14942720\", alpha=\"0.15\", expect_size=\"5977088\"] \n  18 -> 19 [size =\"5977088\"]\n  19 [size=\"48972800\", alpha=\"0.12\", expect_size=\"19589120\"] \n  19 -> 20 [size =\"19589120\"]\n  20 [size=\"64427520\", alpha=\"0.11\", expect_size=\"25771008\"] \n  20 -> 21 [size =\"25771008\"]\n  21 [size=\"80273920\", alpha=\"0.11\", expect_size=\"32109568\"] \n  21 -> 22 [size =\"32109568\"]\n  22 [size=\"114324480\", alpha=\"0.19\", expect_size=\"45729792\"] \n  22 -> 23 [size =\"45729792\"]\n  23 [size=\"16253440\", alpha=\"0.08\", expect_size=\"6501376\"] \n  23 -> 24 [size =\"6501376\"]\n  24 [size=\"29734400\", alpha=\"0.16\", expect_size=\"11893760\"] \n  24 -> 25 [size =\"11893760\"]\n  25 [size=\"15897600\", alpha=\"0.13\", expect_size=\"6359040\"] \n  25 -> 26 [size =\"6359040\"]\n  26 [size=\"121131520\", alpha=\"0.02\", expect_size=\"48452608\"] \n  26 -> 27 [size =\"48452608\"]\n  27 [size=\"40888320\", alpha=\"0.15\", expect_size=\"16355328\"] \n  27 -> 28 [size =\"16355328\"]\n  28 [size=\"105443840\", alpha=\"0.13\", expect_size=\"42177536\"] \n  28 -> 29 [size =\"42177536\"]\n  29 [size=\"76654080\", alpha=\"0.13\", expect_size=\"30661632\"] \n  29 -> 30 [size =\"30661632\"]\n  30 [size=\"30341120\", alpha=\"0.12\", expect_size=\"12136448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114447360\", alpha=\"0.02\", expect_size=\"45778944\"] \n  1 -> 7 [size =\"45778944\"]\n  1 -> 10 [size =\"45778944\"]\n  1 -> 11 [size =\"45778944\"]\n  1 -> 12 [size =\"45778944\"]\n  2 [size=\"37539840\", alpha=\"0.09\", expect_size=\"15015936\"] \n  2 -> 7 [size =\"15015936\"]\n  2 -> 9 [size =\"15015936\"]\n  2 -> 10 [size =\"15015936\"]\n  2 -> 12 [size =\"15015936\"]\n  3 [size=\"28160000\", alpha=\"0.06\", expect_size=\"11264000\"] \n  3 -> 7 [size =\"11264000\"]\n  3 -> 9 [size =\"11264000\"]\n  3 -> 12 [size =\"11264000\"]\n  3 -> 12 [size =\"11264000\"]\n  4 [size=\"68395520\", alpha=\"0.08\", expect_size=\"27358208\"] \n  4 -> 7 [size =\"27358208\"]\n  4 -> 8 [size =\"27358208\"]\n  4 -> 9 [size =\"27358208\"]\n  4 -> 10 [size =\"27358208\"]\n  5 [size=\"23915520\", alpha=\"0.08\", expect_size=\"9566208\"] \n  5 -> 7 [size =\"9566208\"]\n  5 -> 8 [size =\"9566208\"]\n  5 -> 9 [size =\"9566208\"]\n  5 -> 10 [size =\"9566208\"]\n  5 -> 12 [size =\"9566208\"]\n  6 [size=\"80517120\", alpha=\"0.07\", expect_size=\"32206848\"] \n  6 -> 8 [size =\"32206848\"]\n  6 -> 8 [size =\"32206848\"]\n  6 -> 9 [size =\"32206848\"]\n  6 -> 10 [size =\"32206848\"]\n  6 -> 11 [size =\"32206848\"]\n  7 [size=\"105305600\", alpha=\"0.04\", expect_size=\"42122240\"] \n  7 -> 13 [size =\"42122240\"]\n  7 -> 18 [size =\"42122240\"]\n  8 [size=\"105397760\", alpha=\"0.19\", expect_size=\"42159104\"] \n  8 -> 13 [size =\"42159104\"]\n  8 -> 17 [size =\"42159104\"]\n  8 -> 18 [size =\"42159104\"]\n  9 [size=\"73136640\", alpha=\"0.13\", expect_size=\"29254656\"] \n  9 -> 17 [size =\"29254656\"]\n  9 -> 18 [size =\"29254656\"]\n  10 [size=\"95152640\", alpha=\"0.19\", expect_size=\"38061056\"] \n  10 -> 16 [size =\"38061056\"]\n  10 -> 18 [size =\"38061056\"]\n  11 [size=\"53816320\", alpha=\"0.17\", expect_size=\"21526528\"] \n  11 -> 16 [size =\"21526528\"]\n  11 -> 18 [size =\"21526528\"]\n  12 [size=\"63029760\", alpha=\"0.15\", expect_size=\"25211904\"] \n  12 -> 13 [size =\"25211904\"]\n  12 -> 14 [size =\"25211904\"]\n  12 -> 15 [size =\"25211904\"]\n  12 -> 17 [size =\"25211904\"]\n  12 -> 18 [size =\"25211904\"]\n  13 [size=\"115719680\", alpha=\"0.08\", expect_size=\"46287872\"] \n  13 -> 21 [size =\"46287872\"]\n  14 [size=\"33111040\", alpha=\"0.07\", expect_size=\"13244416\"] \n  14 -> 20 [size =\"13244416\"]\n  14 -> 21 [size =\"13244416\"]\n  15 [size=\"78269440\", alpha=\"0.02\", expect_size=\"31307776\"] \n  15 -> 20 [size =\"31307776\"]\n  15 -> 21 [size =\"31307776\"]\n  16 [size=\"125271040\", alpha=\"0.02\", expect_size=\"50108416\"] \n  16 -> 21 [size =\"50108416\"]\n  17 [size=\"47116800\", alpha=\"0.10\", expect_size=\"18846720\"] \n  17 -> 20 [size =\"18846720\"]\n  17 -> 21 [size =\"18846720\"]\n  18 [size=\"69296640\", alpha=\"0.14\", expect_size=\"27718656\"] \n  18 -> 19 [size =\"27718656\"]\n  18 -> 20 [size =\"27718656\"]\n  18 -> 21 [size =\"27718656\"]\n  19 [size=\"61022720\", alpha=\"0.15\", expect_size=\"24409088\"] \n  19 -> 22 [size =\"24409088\"]\n  19 -> 23 [size =\"24409088\"]\n  20 [size=\"18562560\", alpha=\"0.18\", expect_size=\"7425024\"] \n  21 [size=\"14691840\", alpha=\"0.19\", expect_size=\"5876736\"] \n  22 [size=\"113597440\", alpha=\"0.04\", expect_size=\"45438976\"] \n  22 -> 24 [size =\"45438976\"]\n  22 -> 25 [size =\"45438976\"]\n  22 -> 26 [size =\"45438976\"]\n  22 -> 27 [size =\"45438976\"]\n  23 [size=\"86476800\", alpha=\"0.11\", expect_size=\"34590720\"] \n  23 -> 25 [size =\"34590720\"]\n  23 -> 26 [size =\"34590720\"]\n  23 -> 27 [size =\"34590720\"]\n  24 [size=\"18086400\", alpha=\"0.07\", expect_size=\"7234560\"] \n  24 -> 28 [size =\"7234560\"]\n  24 -> 29 [size =\"7234560\"]\n  25 [size=\"57592320\", alpha=\"0.06\", expect_size=\"23036928\"] \n  25 -> 28 [size =\"23036928\"]\n  25 -> 29 [size =\"23036928\"]\n  25 -> 30 [size =\"23036928\"]\n  26 [size=\"67770880\", alpha=\"0.16\", expect_size=\"27108352\"] \n  26 -> 28 [size =\"27108352\"]\n  26 -> 29 [size =\"27108352\"]\n  26 -> 30 [size =\"27108352\"]\n  27 [size=\"77824000\", alpha=\"0.01\", expect_size=\"31129600\"] \n  27 -> 28 [size =\"31129600\"]\n  27 -> 29 [size =\"31129600\"]\n  28 [size=\"19120640\", alpha=\"0.02\", expect_size=\"7648256\"] \n  29 [size=\"99276800\", alpha=\"0.13\", expect_size=\"39710720\"] \n  30 [size=\"70136320\", alpha=\"0.19\", expect_size=\"28054528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55121920\", alpha=\"0.03\", expect_size=\"16536576\"] \n  1 -> 2 [size =\"16536576\"]\n  2 [size=\"27962027\", alpha=\"0.15\", expect_size=\"8388608\"] \n  2 -> 3 [size =\"8388608\"]\n  3 [size=\"86309547\", alpha=\"0.04\", expect_size=\"25892864\"] \n  3 -> 4 [size =\"25892864\"]\n  4 [size=\"87446187\", alpha=\"0.09\", expect_size=\"26233856\"] \n  4 -> 5 [size =\"26233856\"]\n  5 [size=\"18520747\", alpha=\"0.19\", expect_size=\"5556224\"] \n  5 -> 6 [size =\"5556224\"]\n  6 [size=\"32256000\", alpha=\"0.04\", expect_size=\"9676800\"] \n  6 -> 7 [size =\"9676800\"]\n  7 [size=\"151698773\", alpha=\"0.18\", expect_size=\"45509632\"] \n  7 -> 8 [size =\"45509632\"]\n  8 [size=\"33962667\", alpha=\"0.18\", expect_size=\"10188800\"] \n  8 -> 9 [size =\"10188800\"]\n  9 [size=\"126562987\", alpha=\"0.10\", expect_size=\"37968896\"] \n  9 -> 10 [size =\"37968896\"]\n  10 [size=\"28344320\", alpha=\"0.19\", expect_size=\"8503296\"] \n  10 -> 11 [size =\"8503296\"]\n  11 [size=\"85237760\", alpha=\"0.12\", expect_size=\"25571328\"] \n  11 -> 12 [size =\"25571328\"]\n  12 [size=\"108349440\", alpha=\"0.14\", expect_size=\"32504832\"] \n  12 -> 13 [size =\"32504832\"]\n  13 [size=\"72939520\", alpha=\"0.09\", expect_size=\"21881856\"] \n  13 -> 14 [size =\"21881856\"]\n  14 [size=\"103690240\", alpha=\"0.17\", expect_size=\"31107072\"] \n  14 -> 15 [size =\"31107072\"]\n  15 [size=\"19507200\", alpha=\"0.11\", expect_size=\"5852160\"] \n  15 -> 16 [size =\"5852160\"]\n  16 [size=\"168956587\", alpha=\"0.15\", expect_size=\"50686976\"] \n  16 -> 17 [size =\"50686976\"]\n  17 [size=\"40768853\", alpha=\"0.04\", expect_size=\"12230656\"] \n  17 -> 18 [size =\"12230656\"]\n  18 [size=\"25654613\", alpha=\"0.13\", expect_size=\"7696384\"] \n  18 -> 19 [size =\"7696384\"]\n  19 [size=\"165478400\", alpha=\"0.01\", expect_size=\"49643520\"] \n  19 -> 20 [size =\"49643520\"]\n  20 [size=\"89849173\", alpha=\"0.10\", expect_size=\"26954752\"] \n  20 -> 21 [size =\"26954752\"]\n  21 [size=\"80749227\", alpha=\"0.04\", expect_size=\"24224768\"] \n  21 -> 22 [size =\"24224768\"]\n  22 [size=\"17769813\", alpha=\"0.20\", expect_size=\"5330944\"] \n  22 -> 23 [size =\"5330944\"]\n  23 [size=\"125303467\", alpha=\"0.04\", expect_size=\"37591040\"] \n  23 -> 24 [size =\"37591040\"]\n  24 [size=\"37795840\", alpha=\"0.17\", expect_size=\"11338752\"] \n  24 -> 25 [size =\"11338752\"]\n  25 [size=\"17909760\", alpha=\"0.10\", expect_size=\"5372928\"] \n  25 -> 26 [size =\"5372928\"]\n  26 [size=\"105731413\", alpha=\"0.05\", expect_size=\"31719424\"] \n  26 -> 27 [size =\"31719424\"]\n  27 [size=\"67863893\", alpha=\"0.17\", expect_size=\"20359168\"] \n  27 -> 28 [size =\"20359168\"]\n  28 [size=\"98450773\", alpha=\"0.11\", expect_size=\"29535232\"] \n  28 -> 29 [size =\"29535232\"]\n  29 [size=\"44455253\", alpha=\"0.19\", expect_size=\"13336576\"] \n  29 -> 30 [size =\"13336576\"]\n  30 [size=\"54251520\", alpha=\"0.09\", expect_size=\"16275456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99297280\", alpha=\"0.07\", expect_size=\"39718912\"] \n  1 -> 14 [size =\"39718912\"]\n  1 -> 17 [size =\"39718912\"]\n  2 [size=\"94389760\", alpha=\"0.04\", expect_size=\"37755904\"] \n  2 -> 10 [size =\"37755904\"]\n  2 -> 12 [size =\"37755904\"]\n  2 -> 13 [size =\"37755904\"]\n  2 -> 14 [size =\"37755904\"]\n  3 [size=\"51328000\", alpha=\"0.13\", expect_size=\"20531200\"] \n  3 -> 10 [size =\"20531200\"]\n  3 -> 11 [size =\"20531200\"]\n  3 -> 12 [size =\"20531200\"]\n  3 -> 13 [size =\"20531200\"]\n  3 -> 14 [size =\"20531200\"]\n  4 [size=\"47738880\", alpha=\"0.05\", expect_size=\"19095552\"] \n  4 -> 14 [size =\"19095552\"]\n  4 -> 17 [size =\"19095552\"]\n  4 -> 18 [size =\"19095552\"]\n  5 [size=\"110018560\", alpha=\"0.08\", expect_size=\"44007424\"] \n  5 -> 10 [size =\"44007424\"]\n  6 [size=\"94087680\", alpha=\"0.07\", expect_size=\"37635072\"] \n  6 -> 10 [size =\"37635072\"]\n  6 -> 12 [size =\"37635072\"]\n  6 -> 15 [size =\"37635072\"]\n  6 -> 16 [size =\"37635072\"]\n  6 -> 17 [size =\"37635072\"]\n  7 [size=\"95429120\", alpha=\"0.16\", expect_size=\"38171648\"] \n  7 -> 16 [size =\"38171648\"]\n  7 -> 17 [size =\"38171648\"]\n  8 [size=\"13232640\", alpha=\"0.04\", expect_size=\"5293056\"] \n  9 [size=\"68802560\", alpha=\"0.19\", expect_size=\"27521024\"] \n  9 -> 17 [size =\"27521024\"]\n  10 [size=\"114009600\", alpha=\"0.11\", expect_size=\"45603840\"] \n  10 -> 26 [size =\"45603840\"]\n  11 [size=\"36797440\", alpha=\"0.15\", expect_size=\"14718976\"] \n  11 -> 24 [size =\"14718976\"]\n  12 [size=\"76881920\", alpha=\"0.02\", expect_size=\"30752768\"] \n  12 -> 20 [size =\"30752768\"]\n  12 -> 22 [size =\"30752768\"]\n  12 -> 23 [size =\"30752768\"]\n  12 -> 25 [size =\"30752768\"]\n  12 -> 26 [size =\"30752768\"]\n  13 [size=\"97559040\", alpha=\"0.03\", expect_size=\"39023616\"] \n  13 -> 21 [size =\"39023616\"]\n  13 -> 26 [size =\"39023616\"]\n  13 -> 27 [size =\"39023616\"]\n  14 [size=\"57390080\", alpha=\"0.03\", expect_size=\"22956032\"] \n  14 -> 20 [size =\"22956032\"]\n  15 [size=\"89246720\", alpha=\"0.10\", expect_size=\"35698688\"] \n  15 -> 19 [size =\"35698688\"]\n  15 -> 25 [size =\"35698688\"]\n  15 -> 26 [size =\"35698688\"]\n  16 [size=\"17208320\", alpha=\"0.14\", expect_size=\"6883328\"] \n  16 -> 20 [size =\"6883328\"]\n  16 -> 25 [size =\"6883328\"]\n  17 [size=\"58186240\", alpha=\"0.10\", expect_size=\"23274496\"] \n  17 -> 20 [size =\"23274496\"]\n  17 -> 26 [size =\"23274496\"]\n  17 -> 28 [size =\"23274496\"]\n  18 [size=\"36369920\", alpha=\"0.13\", expect_size=\"14547968\"] \n  18 -> 20 [size =\"14547968\"]\n  18 -> 22 [size =\"14547968\"]\n  19 [size=\"62415360\", alpha=\"0.17\", expect_size=\"24966144\"] \n  20 [size=\"53831680\", alpha=\"0.07\", expect_size=\"21532672\"] \n  20 -> 29 [size =\"21532672\"]\n  21 [size=\"120916480\", alpha=\"0.12\", expect_size=\"48366592\"] \n  21 -> 29 [size =\"48366592\"]\n  22 [size=\"92902400\", alpha=\"0.10\", expect_size=\"37160960\"] \n  22 -> 29 [size =\"37160960\"]\n  22 -> 30 [size =\"37160960\"]\n  23 [size=\"104739840\", alpha=\"0.15\", expect_size=\"41895936\"] \n  23 -> 29 [size =\"41895936\"]\n  24 [size=\"120163840\", alpha=\"0.06\", expect_size=\"48065536\"] \n  24 -> 29 [size =\"48065536\"]\n  25 [size=\"21611520\", alpha=\"0.13\", expect_size=\"8644608\"] \n  26 [size=\"81292800\", alpha=\"0.14\", expect_size=\"32517120\"] \n  27 [size=\"44405760\", alpha=\"0.09\", expect_size=\"17762304\"] \n  28 [size=\"103134720\", alpha=\"0.04\", expect_size=\"41253888\"] \n  29 [size=\"59048960\", alpha=\"0.08\", expect_size=\"23619584\"] \n  30 [size=\"43038720\", alpha=\"0.10\", expect_size=\"17215488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36857173\", alpha=\"0.09\", expect_size=\"11057152\"] \n  1 -> 2 [size =\"11057152\"]\n  2 [size=\"153169920\", alpha=\"0.12\", expect_size=\"45950976\"] \n  2 -> 3 [size =\"45950976\"]\n  3 [size=\"37485227\", alpha=\"0.15\", expect_size=\"11245568\"] \n  3 -> 4 [size =\"11245568\"]\n  3 -> 5 [size =\"11245568\"]\n  4 [size=\"99242667\", alpha=\"0.00\", expect_size=\"29772800\"] \n  4 -> 6 [size =\"29772800\"]\n  5 [size=\"34290347\", alpha=\"0.05\", expect_size=\"10287104\"] \n  5 -> 6 [size =\"10287104\"]\n  5 -> 7 [size =\"10287104\"]\n  6 [size=\"170792960\", alpha=\"0.15\", expect_size=\"51237888\"] \n  7 [size=\"55828480\", alpha=\"0.18\", expect_size=\"16748544\"] \n  7 -> 8 [size =\"16748544\"]\n  8 [size=\"51097600\", alpha=\"0.07\", expect_size=\"15329280\"] \n  8 -> 9 [size =\"15329280\"]\n  8 -> 10 [size =\"15329280\"]\n  9 [size=\"49377280\", alpha=\"0.11\", expect_size=\"14813184\"] \n  9 -> 11 [size =\"14813184\"]\n  10 [size=\"166400000\", alpha=\"0.15\", expect_size=\"49920000\"] \n  10 -> 11 [size =\"49920000\"]\n  11 [size=\"84589227\", alpha=\"0.13\", expect_size=\"25376768\"] \n  11 -> 12 [size =\"25376768\"]\n  12 [size=\"151579307\", alpha=\"0.16\", expect_size=\"45473792\"] \n  12 -> 13 [size =\"45473792\"]\n  13 [size=\"87709013\", alpha=\"0.04\", expect_size=\"26312704\"] \n  13 -> 14 [size =\"26312704\"]\n  14 [size=\"47619413\", alpha=\"0.16\", expect_size=\"14285824\"] \n  14 -> 15 [size =\"14285824\"]\n  15 [size=\"48602453\", alpha=\"0.04\", expect_size=\"14580736\"] \n  15 -> 16 [size =\"14580736\"]\n  15 -> 17 [size =\"14580736\"]\n  16 [size=\"87514453\", alpha=\"0.16\", expect_size=\"26254336\"] \n  16 -> 18 [size =\"26254336\"]\n  17 [size=\"44363093\", alpha=\"0.17\", expect_size=\"13308928\"] \n  17 -> 18 [size =\"13308928\"]\n  17 -> 19 [size =\"13308928\"]\n  18 [size=\"27361280\", alpha=\"0.11\", expect_size=\"8208384\"] \n  18 -> 20 [size =\"8208384\"]\n  19 [size=\"85602987\", alpha=\"0.16\", expect_size=\"25680896\"] \n  19 -> 20 [size =\"25680896\"]\n  20 [size=\"174581760\", alpha=\"0.08\", expect_size=\"52374528\"] \n  20 -> 21 [size =\"52374528\"]\n  20 -> 22 [size =\"52374528\"]\n  21 [size=\"136659627\", alpha=\"0.03\", expect_size=\"40997888\"] \n  21 -> 23 [size =\"40997888\"]\n  21 -> 24 [size =\"40997888\"]\n  22 [size=\"85357227\", alpha=\"0.15\", expect_size=\"25607168\"] \n  23 [size=\"50537813\", alpha=\"0.09\", expect_size=\"15161344\"] \n  23 -> 25 [size =\"15161344\"]\n  24 [size=\"85657600\", alpha=\"0.14\", expect_size=\"25697280\"] \n  24 -> 25 [size =\"25697280\"]\n  25 [size=\"57965227\", alpha=\"0.00\", expect_size=\"17389568\"] \n  25 -> 26 [size =\"17389568\"]\n  25 -> 27 [size =\"17389568\"]\n  26 [size=\"88763733\", alpha=\"0.07\", expect_size=\"26629120\"] \n  27 [size=\"61184000\", alpha=\"0.18\", expect_size=\"18355200\"] \n  27 -> 28 [size =\"18355200\"]\n  28 [size=\"37106347\", alpha=\"0.14\", expect_size=\"11131904\"] \n  28 -> 29 [size =\"11131904\"]\n  29 [size=\"120282453\", alpha=\"0.13\", expect_size=\"36084736\"] \n  29 -> 30 [size =\"36084736\"]\n  30 [size=\"90043733\", alpha=\"0.12\", expect_size=\"27013120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104107520\", alpha=\"0.09\", expect_size=\"41643008\"] \n  1 -> 26 [size =\"41643008\"]\n  1 -> 27 [size =\"41643008\"]\n  1 -> 28 [size =\"41643008\"]\n  2 [size=\"112404480\", alpha=\"0.15\", expect_size=\"44961792\"] \n  2 -> 26 [size =\"44961792\"]\n  2 -> 27 [size =\"44961792\"]\n  2 -> 28 [size =\"44961792\"]\n  3 [size=\"72268800\", alpha=\"0.19\", expect_size=\"28907520\"] \n  3 -> 25 [size =\"28907520\"]\n  3 -> 27 [size =\"28907520\"]\n  4 [size=\"68641280\", alpha=\"0.08\", expect_size=\"27456512\"] \n  4 -> 27 [size =\"27456512\"]\n  4 -> 27 [size =\"27456512\"]\n  5 [size=\"122862080\", alpha=\"0.10\", expect_size=\"49144832\"] \n  5 -> 26 [size =\"49144832\"]\n  5 -> 27 [size =\"49144832\"]\n  6 [size=\"14233600\", alpha=\"0.02\", expect_size=\"5693440\"] \n  6 -> 24 [size =\"5693440\"]\n  6 -> 27 [size =\"5693440\"]\n  6 -> 28 [size =\"5693440\"]\n  7 [size=\"77547520\", alpha=\"0.03\", expect_size=\"31019008\"] \n  7 -> 25 [size =\"31019008\"]\n  7 -> 27 [size =\"31019008\"]\n  7 -> 28 [size =\"31019008\"]\n  7 -> 29 [size =\"31019008\"]\n  8 [size=\"43773440\", alpha=\"0.05\", expect_size=\"17509376\"] \n  8 -> 25 [size =\"17509376\"]\n  8 -> 26 [size =\"17509376\"]\n  8 -> 27 [size =\"17509376\"]\n  8 -> 28 [size =\"17509376\"]\n  8 -> 29 [size =\"17509376\"]\n  9 [size=\"88698880\", alpha=\"0.01\", expect_size=\"35479552\"] \n  9 -> 25 [size =\"35479552\"]\n  9 -> 27 [size =\"35479552\"]\n  10 [size=\"130869760\", alpha=\"0.15\", expect_size=\"52347904\"] \n  10 -> 26 [size =\"52347904\"]\n  10 -> 27 [size =\"52347904\"]\n  10 -> 30 [size =\"52347904\"]\n  11 [size=\"38620160\", alpha=\"0.19\", expect_size=\"15448064\"] \n  11 -> 27 [size =\"15448064\"]\n  11 -> 28 [size =\"15448064\"]\n  12 [size=\"90201600\", alpha=\"0.02\", expect_size=\"36080640\"] \n  12 -> 25 [size =\"36080640\"]\n  12 -> 27 [size =\"36080640\"]\n  12 -> 28 [size =\"36080640\"]\n  12 -> 29 [size =\"36080640\"]\n  13 [size=\"58009600\", alpha=\"0.16\", expect_size=\"23203840\"] \n  13 -> 25 [size =\"23203840\"]\n  13 -> 27 [size =\"23203840\"]\n  13 -> 29 [size =\"23203840\"]\n  14 [size=\"50319360\", alpha=\"0.15\", expect_size=\"20127744\"] \n  14 -> 25 [size =\"20127744\"]\n  15 [size=\"98841600\", alpha=\"0.11\", expect_size=\"39536640\"] \n  15 -> 25 [size =\"39536640\"]\n  16 [size=\"39444480\", alpha=\"0.15\", expect_size=\"15777792\"] \n  16 -> 25 [size =\"15777792\"]\n  16 -> 26 [size =\"15777792\"]\n  16 -> 28 [size =\"15777792\"]\n  17 [size=\"53990400\", alpha=\"0.05\", expect_size=\"21596160\"] \n  17 -> 24 [size =\"21596160\"]\n  17 -> 25 [size =\"21596160\"]\n  17 -> 28 [size =\"21596160\"]\n  18 [size=\"68759040\", alpha=\"0.06\", expect_size=\"27503616\"] \n  18 -> 25 [size =\"27503616\"]\n  19 [size=\"97643520\", alpha=\"0.17\", expect_size=\"39057408\"] \n  19 -> 25 [size =\"39057408\"]\n  19 -> 28 [size =\"39057408\"]\n  20 [size=\"106219520\", alpha=\"0.13\", expect_size=\"42487808\"] \n  20 -> 25 [size =\"42487808\"]\n  20 -> 26 [size =\"42487808\"]\n  21 [size=\"77189120\", alpha=\"0.05\", expect_size=\"30875648\"] \n  21 -> 24 [size =\"30875648\"]\n  21 -> 25 [size =\"30875648\"]\n  21 -> 26 [size =\"30875648\"]\n  22 [size=\"69816320\", alpha=\"0.13\", expect_size=\"27926528\"] \n  22 -> 25 [size =\"27926528\"]\n  22 -> 25 [size =\"27926528\"]\n  22 -> 28 [size =\"27926528\"]\n  23 [size=\"82301440\", alpha=\"0.12\", expect_size=\"32920576\"] \n  23 -> 25 [size =\"32920576\"]\n  24 [size=\"57861120\", alpha=\"0.20\", expect_size=\"23144448\"] \n  25 [size=\"29895680\", alpha=\"0.06\", expect_size=\"11958272\"] \n  26 [size=\"93921280\", alpha=\"0.13\", expect_size=\"37568512\"] \n  27 [size=\"63769600\", alpha=\"0.11\", expect_size=\"25507840\"] \n  28 [size=\"91578880\", alpha=\"0.13\", expect_size=\"36631552\"] \n  29 [size=\"126773760\", alpha=\"0.09\", expect_size=\"50709504\"] \n  30 [size=\"109859840\", alpha=\"0.05\", expect_size=\"43943936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104140800\", alpha=\"0.14\", expect_size=\"31242240\"] \n  1 -> 2 [size =\"31242240\"]\n  2 [size=\"85036373\", alpha=\"0.20\", expect_size=\"25510912\"] \n  2 -> 3 [size =\"25510912\"]\n  3 [size=\"51322880\", alpha=\"0.16\", expect_size=\"15396864\"] \n  3 -> 4 [size =\"15396864\"]\n  4 [size=\"148094293\", alpha=\"0.05\", expect_size=\"44428288\"] \n  4 -> 5 [size =\"44428288\"]\n  5 [size=\"116319573\", alpha=\"0.06\", expect_size=\"34895872\"] \n  5 -> 6 [size =\"34895872\"]\n  6 [size=\"24750080\", alpha=\"0.13\", expect_size=\"7425024\"] \n  6 -> 7 [size =\"7425024\"]\n  7 [size=\"110199467\", alpha=\"0.02\", expect_size=\"33059840\"] \n  7 -> 8 [size =\"33059840\"]\n  8 [size=\"62603947\", alpha=\"0.03\", expect_size=\"18781184\"] \n  8 -> 9 [size =\"18781184\"]\n  9 [size=\"142820693\", alpha=\"0.17\", expect_size=\"42846208\"] \n  9 -> 10 [size =\"42846208\"]\n  10 [size=\"75171840\", alpha=\"0.13\", expect_size=\"22551552\"] \n  10 -> 11 [size =\"22551552\"]\n  11 [size=\"96808960\", alpha=\"0.06\", expect_size=\"29042688\"] \n  11 -> 12 [size =\"29042688\"]\n  12 [size=\"47138133\", alpha=\"0.06\", expect_size=\"14141440\"] \n  12 -> 13 [size =\"14141440\"]\n  13 [size=\"45953707\", alpha=\"0.14\", expect_size=\"13786112\"] \n  13 -> 14 [size =\"13786112\"]\n  14 [size=\"173847893\", alpha=\"0.09\", expect_size=\"52154368\"] \n  14 -> 15 [size =\"52154368\"]\n  15 [size=\"59190613\", alpha=\"0.19\", expect_size=\"17757184\"] \n  15 -> 16 [size =\"17757184\"]\n  16 [size=\"104929280\", alpha=\"0.03\", expect_size=\"31478784\"] \n  16 -> 17 [size =\"31478784\"]\n  17 [size=\"50865493\", alpha=\"0.20\", expect_size=\"15259648\"] \n  17 -> 18 [size =\"15259648\"]\n  18 [size=\"68177920\", alpha=\"0.18\", expect_size=\"20453376\"] \n  18 -> 19 [size =\"20453376\"]\n  19 [size=\"91593387\", alpha=\"0.07\", expect_size=\"27478016\"] \n  19 -> 20 [size =\"27478016\"]\n  20 [size=\"69840213\", alpha=\"0.15\", expect_size=\"20952064\"] \n  20 -> 21 [size =\"20952064\"]\n  21 [size=\"168987307\", alpha=\"0.15\", expect_size=\"50696192\"] \n  21 -> 22 [size =\"50696192\"]\n  22 [size=\"58682027\", alpha=\"0.02\", expect_size=\"17604608\"] \n  22 -> 23 [size =\"17604608\"]\n  23 [size=\"104751787\", alpha=\"0.14\", expect_size=\"31425536\"] \n  23 -> 24 [size =\"31425536\"]\n  24 [size=\"54384640\", alpha=\"0.03\", expect_size=\"16315392\"] \n  24 -> 25 [size =\"16315392\"]\n  25 [size=\"121340587\", alpha=\"0.04\", expect_size=\"36402176\"] \n  25 -> 26 [size =\"36402176\"]\n  26 [size=\"113087147\", alpha=\"0.06\", expect_size=\"33926144\"] \n  26 -> 27 [size =\"33926144\"]\n  27 [size=\"140165120\", alpha=\"0.00\", expect_size=\"42049536\"] \n  27 -> 28 [size =\"42049536\"]\n  28 [size=\"138499413\", alpha=\"0.00\", expect_size=\"41549824\"] \n  28 -> 29 [size =\"41549824\"]\n  29 [size=\"124627627\", alpha=\"0.16\", expect_size=\"37388288\"] \n  29 -> 30 [size =\"37388288\"]\n  30 [size=\"24347307\", alpha=\"0.19\", expect_size=\"7304192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139124053\", alpha=\"0.02\", expect_size=\"41737216\"] \n  1 -> 2 [size =\"41737216\"]\n  2 [size=\"57507840\", alpha=\"0.16\", expect_size=\"17252352\"] \n  2 -> 3 [size =\"17252352\"]\n  3 [size=\"92726613\", alpha=\"0.04\", expect_size=\"27817984\"] \n  3 -> 4 [size =\"27817984\"]\n  4 [size=\"49018880\", alpha=\"0.14\", expect_size=\"14705664\"] \n  4 -> 5 [size =\"14705664\"]\n  5 [size=\"146025813\", alpha=\"0.16\", expect_size=\"43807744\"] \n  5 -> 6 [size =\"43807744\"]\n  6 [size=\"50858667\", alpha=\"0.10\", expect_size=\"15257600\"] \n  6 -> 7 [size =\"15257600\"]\n  7 [size=\"61003093\", alpha=\"0.16\", expect_size=\"18300928\"] \n  7 -> 8 [size =\"18300928\"]\n  8 [size=\"113435307\", alpha=\"0.15\", expect_size=\"34030592\"] \n  8 -> 9 [size =\"34030592\"]\n  9 [size=\"72833707\", alpha=\"0.08\", expect_size=\"21850112\"] \n  9 -> 10 [size =\"21850112\"]\n  10 [size=\"147879253\", alpha=\"0.07\", expect_size=\"44363776\"] \n  10 -> 11 [size =\"44363776\"]\n  11 [size=\"30040747\", alpha=\"0.08\", expect_size=\"9012224\"] \n  11 -> 12 [size =\"9012224\"]\n  12 [size=\"49090560\", alpha=\"0.09\", expect_size=\"14727168\"] \n  12 -> 13 [size =\"14727168\"]\n  13 [size=\"174080000\", alpha=\"0.12\", expect_size=\"52224000\"] \n  13 -> 14 [size =\"52224000\"]\n  14 [size=\"48602453\", alpha=\"0.15\", expect_size=\"14580736\"] \n  14 -> 15 [size =\"14580736\"]\n  15 [size=\"154859520\", alpha=\"0.10\", expect_size=\"46457856\"] \n  15 -> 16 [size =\"46457856\"]\n  16 [size=\"122624000\", alpha=\"0.17\", expect_size=\"36787200\"] \n  16 -> 17 [size =\"36787200\"]\n  17 [size=\"47039147\", alpha=\"0.04\", expect_size=\"14111744\"] \n  17 -> 18 [size =\"14111744\"]\n  18 [size=\"171642880\", alpha=\"0.05\", expect_size=\"51492864\"] \n  18 -> 19 [size =\"51492864\"]\n  19 [size=\"129399467\", alpha=\"0.05\", expect_size=\"38819840\"] \n  19 -> 20 [size =\"38819840\"]\n  20 [size=\"34570240\", alpha=\"0.03\", expect_size=\"10371072\"] \n  20 -> 21 [size =\"10371072\"]\n  21 [size=\"88736427\", alpha=\"0.16\", expect_size=\"26620928\"] \n  21 -> 22 [size =\"26620928\"]\n  22 [size=\"152784213\", alpha=\"0.14\", expect_size=\"45835264\"] \n  22 -> 23 [size =\"45835264\"]\n  23 [size=\"63921493\", alpha=\"0.01\", expect_size=\"19176448\"] \n  23 -> 24 [size =\"19176448\"]\n  24 [size=\"154552320\", alpha=\"0.13\", expect_size=\"46365696\"] \n  24 -> 25 [size =\"46365696\"]\n  25 [size=\"114305707\", alpha=\"0.01\", expect_size=\"34291712\"] \n  25 -> 26 [size =\"34291712\"]\n  26 [size=\"33822720\", alpha=\"0.13\", expect_size=\"10146816\"] \n  26 -> 27 [size =\"10146816\"]\n  27 [size=\"167796053\", alpha=\"0.10\", expect_size=\"50338816\"] \n  27 -> 28 [size =\"50338816\"]\n  28 [size=\"40512853\", alpha=\"0.00\", expect_size=\"12153856\"] \n  28 -> 29 [size =\"12153856\"]\n  29 [size=\"78066347\", alpha=\"0.17\", expect_size=\"23419904\"] \n  29 -> 30 [size =\"23419904\"]\n  30 [size=\"120282453\", alpha=\"0.11\", expect_size=\"36084736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72302080\", alpha=\"0.14\", expect_size=\"28920832\"] \n  1 -> 8 [size =\"28920832\"]\n  1 -> 10 [size =\"28920832\"]\n  2 [size=\"71720960\", alpha=\"0.08\", expect_size=\"28688384\"] \n  2 -> 8 [size =\"28688384\"]\n  2 -> 11 [size =\"28688384\"]\n  3 [size=\"40015360\", alpha=\"0.11\", expect_size=\"16006144\"] \n  3 -> 11 [size =\"16006144\"]\n  4 [size=\"83092480\", alpha=\"0.07\", expect_size=\"33236992\"] \n  4 -> 10 [size =\"33236992\"]\n  4 -> 11 [size =\"33236992\"]\n  5 [size=\"25223680\", alpha=\"0.17\", expect_size=\"10089472\"] \n  5 -> 9 [size =\"10089472\"]\n  5 -> 10 [size =\"10089472\"]\n  6 [size=\"113602560\", alpha=\"0.09\", expect_size=\"45441024\"] \n  6 -> 7 [size =\"45441024\"]\n  6 -> 9 [size =\"45441024\"]\n  7 [size=\"87685120\", alpha=\"0.15\", expect_size=\"35074048\"] \n  7 -> 12 [size =\"35074048\"]\n  8 [size=\"29785600\", alpha=\"0.00\", expect_size=\"11914240\"] \n  8 -> 12 [size =\"11914240\"]\n  9 [size=\"128125440\", alpha=\"0.02\", expect_size=\"51250176\"] \n  9 -> 13 [size =\"51250176\"]\n  10 [size=\"22771200\", alpha=\"0.06\", expect_size=\"9108480\"] \n  10 -> 13 [size =\"9108480\"]\n  11 [size=\"121587200\", alpha=\"0.13\", expect_size=\"48634880\"] \n  11 -> 12 [size =\"48634880\"]\n  11 -> 13 [size =\"48634880\"]\n  12 [size=\"86072320\", alpha=\"0.01\", expect_size=\"34428928\"] \n  13 [size=\"13263360\", alpha=\"0.09\", expect_size=\"5305344\"] \n  13 -> 14 [size =\"5305344\"]\n  13 -> 15 [size =\"5305344\"]\n  13 -> 16 [size =\"5305344\"]\n  14 [size=\"77386240\", alpha=\"0.11\", expect_size=\"30954496\"] \n  14 -> 17 [size =\"30954496\"]\n  14 -> 18 [size =\"30954496\"]\n  14 -> 19 [size =\"30954496\"]\n  14 -> 21 [size =\"30954496\"]\n  15 [size=\"120862720\", alpha=\"0.01\", expect_size=\"48345088\"] \n  15 -> 20 [size =\"48345088\"]\n  15 -> 21 [size =\"48345088\"]\n  16 [size=\"100362240\", alpha=\"0.11\", expect_size=\"40144896\"] \n  16 -> 17 [size =\"40144896\"]\n  16 -> 18 [size =\"40144896\"]\n  17 [size=\"35717120\", alpha=\"0.20\", expect_size=\"14286848\"] \n  17 -> 23 [size =\"14286848\"]\n  17 -> 24 [size =\"14286848\"]\n  18 [size=\"123696640\", alpha=\"0.18\", expect_size=\"49478656\"] \n  18 -> 24 [size =\"49478656\"]\n  19 [size=\"126487040\", alpha=\"0.10\", expect_size=\"50594816\"] \n  19 -> 22 [size =\"50594816\"]\n  19 -> 23 [size =\"50594816\"]\n  20 [size=\"22051840\", alpha=\"0.12\", expect_size=\"8820736\"] \n  21 [size=\"55787520\", alpha=\"0.05\", expect_size=\"22315008\"] \n  21 -> 24 [size =\"22315008\"]\n  22 [size=\"129628160\", alpha=\"0.08\", expect_size=\"51851264\"] \n  22 -> 27 [size =\"51851264\"]\n  22 -> 28 [size =\"51851264\"]\n  22 -> 29 [size =\"51851264\"]\n  22 -> 30 [size =\"51851264\"]\n  23 [size=\"20492800\", alpha=\"0.16\", expect_size=\"8197120\"] \n  23 -> 25 [size =\"8197120\"]\n  24 [size=\"75105280\", alpha=\"0.15\", expect_size=\"30042112\"] \n  24 -> 26 [size =\"30042112\"]\n  25 [size=\"24128000\", alpha=\"0.16\", expect_size=\"9651200\"] \n  26 [size=\"31198720\", alpha=\"0.15\", expect_size=\"12479488\"] \n  27 [size=\"97313280\", alpha=\"0.06\", expect_size=\"38925312\"] \n  28 [size=\"94515200\", alpha=\"0.20\", expect_size=\"37806080\"] \n  29 [size=\"80005120\", alpha=\"0.13\", expect_size=\"32002048\"] \n  30 [size=\"18373120\", alpha=\"0.08\", expect_size=\"7349248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31173120\", alpha=\"0.17\", expect_size=\"12469248\"] \n  1 -> 10 [size =\"12469248\"]\n  1 -> 11 [size =\"12469248\"]\n  1 -> 12 [size =\"12469248\"]\n  1 -> 14 [size =\"12469248\"]\n  1 -> 14 [size =\"12469248\"]\n  1 -> 15 [size =\"12469248\"]\n  2 [size=\"31680000\", alpha=\"0.07\", expect_size=\"12672000\"] \n  2 -> 11 [size =\"12672000\"]\n  2 -> 13 [size =\"12672000\"]\n  2 -> 15 [size =\"12672000\"]\n  3 [size=\"73221120\", alpha=\"0.06\", expect_size=\"29288448\"] \n  3 -> 9 [size =\"29288448\"]\n  3 -> 10 [size =\"29288448\"]\n  3 -> 12 [size =\"29288448\"]\n  3 -> 13 [size =\"29288448\"]\n  3 -> 14 [size =\"29288448\"]\n  4 [size=\"51960320\", alpha=\"0.14\", expect_size=\"20784128\"] \n  4 -> 9 [size =\"20784128\"]\n  4 -> 11 [size =\"20784128\"]\n  4 -> 12 [size =\"20784128\"]\n  4 -> 13 [size =\"20784128\"]\n  4 -> 15 [size =\"20784128\"]\n  5 [size=\"54663680\", alpha=\"0.04\", expect_size=\"21865472\"] \n  5 -> 10 [size =\"21865472\"]\n  5 -> 12 [size =\"21865472\"]\n  6 [size=\"78466560\", alpha=\"0.13\", expect_size=\"31386624\"] \n  6 -> 9 [size =\"31386624\"]\n  6 -> 11 [size =\"31386624\"]\n  6 -> 14 [size =\"31386624\"]\n  6 -> 15 [size =\"31386624\"]\n  7 [size=\"80120320\", alpha=\"0.12\", expect_size=\"32048128\"] \n  7 -> 10 [size =\"32048128\"]\n  7 -> 11 [size =\"32048128\"]\n  7 -> 12 [size =\"32048128\"]\n  7 -> 13 [size =\"32048128\"]\n  7 -> 14 [size =\"32048128\"]\n  8 [size=\"82457600\", alpha=\"0.18\", expect_size=\"32983040\"] \n  8 -> 10 [size =\"32983040\"]\n  8 -> 11 [size =\"32983040\"]\n  8 -> 12 [size =\"32983040\"]\n  8 -> 13 [size =\"32983040\"]\n  8 -> 14 [size =\"32983040\"]\n  9 [size=\"87237120\", alpha=\"0.17\", expect_size=\"34894848\"] \n  9 -> 17 [size =\"34894848\"]\n  9 -> 19 [size =\"34894848\"]\n  9 -> 23 [size =\"34894848\"]\n  9 -> 26 [size =\"34894848\"]\n  9 -> 27 [size =\"34894848\"]\n  10 [size=\"113930240\", alpha=\"0.16\", expect_size=\"45572096\"] \n  10 -> 17 [size =\"45572096\"]\n  10 -> 18 [size =\"45572096\"]\n  10 -> 27 [size =\"45572096\"]\n  11 [size=\"30295040\", alpha=\"0.02\", expect_size=\"12118016\"] \n  11 -> 21 [size =\"12118016\"]\n  11 -> 22 [size =\"12118016\"]\n  11 -> 25 [size =\"12118016\"]\n  11 -> 26 [size =\"12118016\"]\n  12 [size=\"14264320\", alpha=\"0.04\", expect_size=\"5705728\"] \n  12 -> 16 [size =\"5705728\"]\n  12 -> 17 [size =\"5705728\"]\n  12 -> 19 [size =\"5705728\"]\n  12 -> 24 [size =\"5705728\"]\n  13 [size=\"53424640\", alpha=\"0.02\", expect_size=\"21369856\"] \n  13 -> 19 [size =\"21369856\"]\n  13 -> 22 [size =\"21369856\"]\n  13 -> 25 [size =\"21369856\"]\n  13 -> 27 [size =\"21369856\"]\n  14 [size=\"89292800\", alpha=\"0.19\", expect_size=\"35717120\"] \n  14 -> 16 [size =\"35717120\"]\n  14 -> 19 [size =\"35717120\"]\n  14 -> 20 [size =\"35717120\"]\n  14 -> 24 [size =\"35717120\"]\n  14 -> 26 [size =\"35717120\"]\n  14 -> 27 [size =\"35717120\"]\n  15 [size=\"53624320\", alpha=\"0.15\", expect_size=\"21449728\"] \n  15 -> 17 [size =\"21449728\"]\n  15 -> 24 [size =\"21449728\"]\n  15 -> 25 [size =\"21449728\"]\n  15 -> 27 [size =\"21449728\"]\n  16 [size=\"75755520\", alpha=\"0.18\", expect_size=\"30302208\"] \n  17 [size=\"32942080\", alpha=\"0.06\", expect_size=\"13176832\"] \n  17 -> 29 [size =\"13176832\"]\n  17 -> 30 [size =\"13176832\"]\n  18 [size=\"103232000\", alpha=\"0.04\", expect_size=\"41292800\"] \n  18 -> 28 [size =\"41292800\"]\n  18 -> 29 [size =\"41292800\"]\n  19 [size=\"92042240\", alpha=\"0.07\", expect_size=\"36816896\"] \n  19 -> 28 [size =\"36816896\"]\n  19 -> 29 [size =\"36816896\"]\n  19 -> 30 [size =\"36816896\"]\n  20 [size=\"76395520\", alpha=\"0.12\", expect_size=\"30558208\"] \n  20 -> 28 [size =\"30558208\"]\n  21 [size=\"50913280\", alpha=\"0.19\", expect_size=\"20365312\"] \n  21 -> 28 [size =\"20365312\"]\n  22 [size=\"61985280\", alpha=\"0.10\", expect_size=\"24794112\"] \n  22 -> 29 [size =\"24794112\"]\n  22 -> 30 [size =\"24794112\"]\n  23 [size=\"86266880\", alpha=\"0.11\", expect_size=\"34506752\"] \n  23 -> 30 [size =\"34506752\"]\n  24 [size=\"95772160\", alpha=\"0.18\", expect_size=\"38308864\"] \n  24 -> 28 [size =\"38308864\"]\n  24 -> 29 [size =\"38308864\"]\n  25 [size=\"92113920\", alpha=\"0.13\", expect_size=\"36845568\"] \n  25 -> 28 [size =\"36845568\"]\n  26 [size=\"63851520\", alpha=\"0.18\", expect_size=\"25540608\"] \n  26 -> 28 [size =\"25540608\"]\n  27 [size=\"49507840\", alpha=\"0.15\", expect_size=\"19803136\"] \n  27 -> 30 [size =\"19803136\"]\n  28 [size=\"85885440\", alpha=\"0.04\", expect_size=\"34354176\"] \n  29 [size=\"111813120\", alpha=\"0.05\", expect_size=\"44725248\"] \n  30 [size=\"36359680\", alpha=\"0.03\", expect_size=\"14543872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67686400\", alpha=\"0.04\", expect_size=\"20305920\"] \n  1 -> 3 [size =\"20305920\"]\n  2 [size=\"147869013\", alpha=\"0.13\", expect_size=\"44360704\"] \n  2 -> 3 [size =\"44360704\"]\n  2 -> 4 [size =\"44360704\"]\n  3 [size=\"120036693\", alpha=\"0.02\", expect_size=\"36011008\"] \n  3 -> 5 [size =\"36011008\"]\n  4 [size=\"98662400\", alpha=\"0.16\", expect_size=\"29598720\"] \n  4 -> 6 [size =\"29598720\"]\n  5 [size=\"133652480\", alpha=\"0.06\", expect_size=\"40095744\"] \n  5 -> 7 [size =\"40095744\"]\n  5 -> 8 [size =\"40095744\"]\n  6 [size=\"105775787\", alpha=\"0.03\", expect_size=\"31732736\"] \n  6 -> 8 [size =\"31732736\"]\n  7 [size=\"90449920\", alpha=\"0.10\", expect_size=\"27134976\"] \n  7 -> 9 [size =\"27134976\"]\n  8 [size=\"74451627\", alpha=\"0.19\", expect_size=\"22335488\"] \n  8 -> 9 [size =\"22335488\"]\n  8 -> 10 [size =\"22335488\"]\n  9 [size=\"104355840\", alpha=\"0.13\", expect_size=\"31306752\"] \n  9 -> 11 [size =\"31306752\"]\n  10 [size=\"113148587\", alpha=\"0.08\", expect_size=\"33944576\"] \n  10 -> 12 [size =\"33944576\"]\n  11 [size=\"101690027\", alpha=\"0.00\", expect_size=\"30507008\"] \n  11 -> 13 [size =\"30507008\"]\n  12 [size=\"134167893\", alpha=\"0.01\", expect_size=\"40250368\"] \n  13 [size=\"82496853\", alpha=\"0.14\", expect_size=\"24749056\"] \n  13 -> 14 [size =\"24749056\"]\n  13 -> 15 [size =\"24749056\"]\n  14 [size=\"98150400\", alpha=\"0.14\", expect_size=\"29445120\"] \n  14 -> 16 [size =\"29445120\"]\n  15 [size=\"65491627\", alpha=\"0.08\", expect_size=\"19647488\"] \n  15 -> 16 [size =\"19647488\"]\n  15 -> 17 [size =\"19647488\"]\n  16 [size=\"115851947\", alpha=\"0.17\", expect_size=\"34755584\"] \n  16 -> 18 [size =\"34755584\"]\n  17 [size=\"140530347\", alpha=\"0.20\", expect_size=\"42159104\"] \n  18 [size=\"63764480\", alpha=\"0.15\", expect_size=\"19129344\"] \n  18 -> 19 [size =\"19129344\"]\n  19 [size=\"53920427\", alpha=\"0.00\", expect_size=\"16176128\"] \n  19 -> 20 [size =\"16176128\"]\n  19 -> 21 [size =\"16176128\"]\n  20 [size=\"153442987\", alpha=\"0.02\", expect_size=\"46032896\"] \n  20 -> 22 [size =\"46032896\"]\n  20 -> 23 [size =\"46032896\"]\n  21 [size=\"62388907\", alpha=\"0.09\", expect_size=\"18716672\"] \n  21 -> 22 [size =\"18716672\"]\n  21 -> 23 [size =\"18716672\"]\n  22 [size=\"65583787\", alpha=\"0.14\", expect_size=\"19675136\"] \n  23 [size=\"75714560\", alpha=\"0.11\", expect_size=\"22714368\"] \n  23 -> 24 [size =\"22714368\"]\n  24 [size=\"27890347\", alpha=\"0.19\", expect_size=\"8367104\"] \n  24 -> 25 [size =\"8367104\"]\n  24 -> 26 [size =\"8367104\"]\n  25 [size=\"135430827\", alpha=\"0.01\", expect_size=\"40629248\"] \n  25 -> 27 [size =\"40629248\"]\n  25 -> 28 [size =\"40629248\"]\n  26 [size=\"43021653\", alpha=\"0.15\", expect_size=\"12906496\"] \n  26 -> 28 [size =\"12906496\"]\n  27 [size=\"19046400\", alpha=\"0.18\", expect_size=\"5713920\"] \n  27 -> 29 [size =\"5713920\"]\n  27 -> 30 [size =\"5713920\"]\n  28 [size=\"17605973\", alpha=\"0.08\", expect_size=\"5281792\"] \n  28 -> 30 [size =\"5281792\"]\n  29 [size=\"134123520\", alpha=\"0.09\", expect_size=\"40237056\"] \n  30 [size=\"137536853\", alpha=\"0.02\", expect_size=\"41261056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104601600\", alpha=\"0.07\", expect_size=\"52300800\"] \n  1 -> 24 [size =\"52300800\"]\n  1 -> 30 [size =\"52300800\"]\n  2 [size=\"41779200\", alpha=\"0.08\", expect_size=\"20889600\"] \n  2 -> 22 [size =\"20889600\"]\n  2 -> 24 [size =\"20889600\"]\n  2 -> 25 [size =\"20889600\"]\n  2 -> 26 [size =\"20889600\"]\n  3 [size=\"81627136\", alpha=\"0.10\", expect_size=\"40813568\"] \n  3 -> 22 [size =\"40813568\"]\n  3 -> 24 [size =\"40813568\"]\n  3 -> 26 [size =\"40813568\"]\n  3 -> 27 [size =\"40813568\"]\n  3 -> 29 [size =\"40813568\"]\n  4 [size=\"51195904\", alpha=\"0.08\", expect_size=\"25597952\"] \n  4 -> 21 [size =\"25597952\"]\n  4 -> 26 [size =\"25597952\"]\n  5 [size=\"91564032\", alpha=\"0.13\", expect_size=\"45782016\"] \n  5 -> 27 [size =\"45782016\"]\n  5 -> 30 [size =\"45782016\"]\n  6 [size=\"94779392\", alpha=\"0.12\", expect_size=\"47389696\"] \n  6 -> 20 [size =\"47389696\"]\n  6 -> 25 [size =\"47389696\"]\n  6 -> 26 [size =\"47389696\"]\n  6 -> 27 [size =\"47389696\"]\n  6 -> 30 [size =\"47389696\"]\n  7 [size=\"29730816\", alpha=\"0.19\", expect_size=\"14865408\"] \n  7 -> 21 [size =\"14865408\"]\n  7 -> 22 [size =\"14865408\"]\n  7 -> 27 [size =\"14865408\"]\n  7 -> 30 [size =\"14865408\"]\n  7 -> 30 [size =\"14865408\"]\n  8 [size=\"20664320\", alpha=\"0.11\", expect_size=\"10332160\"] \n  8 -> 22 [size =\"10332160\"]\n  8 -> 24 [size =\"10332160\"]\n  8 -> 25 [size =\"10332160\"]\n  9 [size=\"14094336\", alpha=\"0.18\", expect_size=\"7047168\"] \n  9 -> 21 [size =\"7047168\"]\n  9 -> 25 [size =\"7047168\"]\n  10 [size=\"42051584\", alpha=\"0.07\", expect_size=\"21025792\"] \n  10 -> 21 [size =\"21025792\"]\n  10 -> 22 [size =\"21025792\"]\n  10 -> 23 [size =\"21025792\"]\n  10 -> 28 [size =\"21025792\"]\n  11 [size=\"83406848\", alpha=\"0.18\", expect_size=\"41703424\"] \n  11 -> 23 [size =\"41703424\"]\n  11 -> 24 [size =\"41703424\"]\n  11 -> 26 [size =\"41703424\"]\n  11 -> 28 [size =\"41703424\"]\n  11 -> 30 [size =\"41703424\"]\n  12 [size=\"21751808\", alpha=\"0.16\", expect_size=\"10875904\"] \n  12 -> 25 [size =\"10875904\"]\n  12 -> 30 [size =\"10875904\"]\n  13 [size=\"58195968\", alpha=\"0.05\", expect_size=\"29097984\"] \n  13 -> 21 [size =\"29097984\"]\n  13 -> 28 [size =\"29097984\"]\n  14 [size=\"13346816\", alpha=\"0.17\", expect_size=\"6673408\"] \n  14 -> 26 [size =\"6673408\"]\n  14 -> 27 [size =\"6673408\"]\n  14 -> 30 [size =\"6673408\"]\n  15 [size=\"49504256\", alpha=\"0.06\", expect_size=\"24752128\"] \n  15 -> 22 [size =\"24752128\"]\n  15 -> 23 [size =\"24752128\"]\n  15 -> 26 [size =\"24752128\"]\n  16 [size=\"15353856\", alpha=\"0.15\", expect_size=\"7676928\"] \n  16 -> 21 [size =\"7676928\"]\n  16 -> 26 [size =\"7676928\"]\n  17 [size=\"70914048\", alpha=\"0.19\", expect_size=\"35457024\"] \n  17 -> 22 [size =\"35457024\"]\n  17 -> 25 [size =\"35457024\"]\n  18 [size=\"67268608\", alpha=\"0.12\", expect_size=\"33634304\"] \n  19 [size=\"26859520\", alpha=\"0.09\", expect_size=\"13429760\"] \n  19 -> 20 [size =\"13429760\"]\n  19 -> 24 [size =\"13429760\"]\n  19 -> 30 [size =\"13429760\"]\n  20 [size=\"19437568\", alpha=\"0.16\", expect_size=\"9718784\"] \n  21 [size=\"50657280\", alpha=\"0.04\", expect_size=\"25328640\"] \n  22 [size=\"41107456\", alpha=\"0.17\", expect_size=\"20553728\"] \n  23 [size=\"24147968\", alpha=\"0.07\", expect_size=\"12073984\"] \n  24 [size=\"49999872\", alpha=\"0.04\", expect_size=\"24999936\"] \n  25 [size=\"36904960\", alpha=\"0.19\", expect_size=\"18452480\"] \n  26 [size=\"63717376\", alpha=\"0.12\", expect_size=\"31858688\"] \n  27 [size=\"38469632\", alpha=\"0.08\", expect_size=\"19234816\"] \n  28 [size=\"35743744\", alpha=\"0.07\", expect_size=\"17871872\"] \n  29 [size=\"93411328\", alpha=\"0.07\", expect_size=\"46705664\"] \n  30 [size=\"40712192\", alpha=\"0.14\", expect_size=\"20356096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19144704\", alpha=\"0.14\", expect_size=\"9572352\"] \n  1 -> 2 [size =\"9572352\"]\n  2 [size=\"75857920\", alpha=\"0.08\", expect_size=\"37928960\"] \n  2 -> 3 [size =\"37928960\"]\n  3 [size=\"54261760\", alpha=\"0.18\", expect_size=\"27130880\"] \n  3 -> 4 [size =\"27130880\"]\n  4 [size=\"41254912\", alpha=\"0.09\", expect_size=\"20627456\"] \n  4 -> 5 [size =\"20627456\"]\n  5 [size=\"17831936\", alpha=\"0.08\", expect_size=\"8915968\"] \n  5 -> 6 [size =\"8915968\"]\n  6 [size=\"49733632\", alpha=\"0.08\", expect_size=\"24866816\"] \n  6 -> 7 [size =\"24866816\"]\n  7 [size=\"89012224\", alpha=\"0.16\", expect_size=\"44506112\"] \n  7 -> 8 [size =\"44506112\"]\n  8 [size=\"74065920\", alpha=\"0.13\", expect_size=\"37032960\"] \n  8 -> 9 [size =\"37032960\"]\n  9 [size=\"11888640\", alpha=\"0.03\", expect_size=\"5944320\"] \n  9 -> 10 [size =\"5944320\"]\n  10 [size=\"54018048\", alpha=\"0.15\", expect_size=\"27009024\"] \n  10 -> 11 [size =\"27009024\"]\n  11 [size=\"49098752\", alpha=\"0.19\", expect_size=\"24549376\"] \n  11 -> 12 [size =\"24549376\"]\n  12 [size=\"21602304\", alpha=\"0.08\", expect_size=\"10801152\"] \n  12 -> 13 [size =\"10801152\"]\n  13 [size=\"61136896\", alpha=\"0.09\", expect_size=\"30568448\"] \n  13 -> 14 [size =\"30568448\"]\n  14 [size=\"50739200\", alpha=\"0.13\", expect_size=\"25369600\"] \n  14 -> 15 [size =\"25369600\"]\n  15 [size=\"91043840\", alpha=\"0.14\", expect_size=\"45521920\"] \n  15 -> 16 [size =\"45521920\"]\n  16 [size=\"34998272\", alpha=\"0.12\", expect_size=\"17499136\"] \n  16 -> 17 [size =\"17499136\"]\n  17 [size=\"72593408\", alpha=\"0.16\", expect_size=\"36296704\"] \n  17 -> 18 [size =\"36296704\"]\n  18 [size=\"53727232\", alpha=\"0.18\", expect_size=\"26863616\"] \n  18 -> 19 [size =\"26863616\"]\n  19 [size=\"21129216\", alpha=\"0.11\", expect_size=\"10564608\"] \n  19 -> 20 [size =\"10564608\"]\n  20 [size=\"37206016\", alpha=\"0.09\", expect_size=\"18603008\"] \n  20 -> 21 [size =\"18603008\"]\n  21 [size=\"14532608\", alpha=\"0.08\", expect_size=\"7266304\"] \n  21 -> 22 [size =\"7266304\"]\n  22 [size=\"11950080\", alpha=\"0.01\", expect_size=\"5975040\"] \n  22 -> 23 [size =\"5975040\"]\n  23 [size=\"48814080\", alpha=\"0.04\", expect_size=\"24407040\"] \n  23 -> 24 [size =\"24407040\"]\n  24 [size=\"91158528\", alpha=\"0.13\", expect_size=\"45579264\"] \n  24 -> 25 [size =\"45579264\"]\n  25 [size=\"55853056\", alpha=\"0.03\", expect_size=\"27926528\"] \n  25 -> 26 [size =\"27926528\"]\n  26 [size=\"26472448\", alpha=\"0.02\", expect_size=\"13236224\"] \n  26 -> 27 [size =\"13236224\"]\n  27 [size=\"82034688\", alpha=\"0.18\", expect_size=\"41017344\"] \n  27 -> 28 [size =\"41017344\"]\n  28 [size=\"64884736\", alpha=\"0.07\", expect_size=\"32442368\"] \n  28 -> 29 [size =\"32442368\"]\n  29 [size=\"54403072\", alpha=\"0.16\", expect_size=\"27201536\"] \n  29 -> 30 [size =\"27201536\"]\n  30 [size=\"12118016\", alpha=\"0.15\", expect_size=\"6059008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76095488\", alpha=\"0.02\", expect_size=\"38047744\"] \n  1 -> 5 [size =\"38047744\"]\n  1 -> 6 [size =\"38047744\"]\n  1 -> 7 [size =\"38047744\"]\n  2 [size=\"31571968\", alpha=\"0.06\", expect_size=\"15785984\"] \n  2 -> 5 [size =\"15785984\"]\n  2 -> 6 [size =\"15785984\"]\n  2 -> 7 [size =\"15785984\"]\n  2 -> 8 [size =\"15785984\"]\n  3 [size=\"84865024\", alpha=\"0.02\", expect_size=\"42432512\"] \n  3 -> 5 [size =\"42432512\"]\n  3 -> 6 [size =\"42432512\"]\n  3 -> 7 [size =\"42432512\"]\n  4 [size=\"10731520\", alpha=\"0.18\", expect_size=\"5365760\"] \n  4 -> 5 [size =\"5365760\"]\n  4 -> 7 [size =\"5365760\"]\n  5 [size=\"36620288\", alpha=\"0.11\", expect_size=\"18310144\"] \n  5 -> 10 [size =\"18310144\"]\n  5 -> 11 [size =\"18310144\"]\n  5 -> 12 [size =\"18310144\"]\n  6 [size=\"17043456\", alpha=\"0.18\", expect_size=\"8521728\"] \n  6 -> 12 [size =\"8521728\"]\n  7 [size=\"30044160\", alpha=\"0.03\", expect_size=\"15022080\"] \n  7 -> 10 [size =\"15022080\"]\n  7 -> 12 [size =\"15022080\"]\n  8 [size=\"41992192\", alpha=\"0.08\", expect_size=\"20996096\"] \n  8 -> 9 [size =\"20996096\"]\n  8 -> 10 [size =\"20996096\"]\n  8 -> 12 [size =\"20996096\"]\n  9 [size=\"64649216\", alpha=\"0.11\", expect_size=\"32324608\"] \n  9 -> 13 [size =\"32324608\"]\n  9 -> 14 [size =\"32324608\"]\n  9 -> 15 [size =\"32324608\"]\n  10 [size=\"47241216\", alpha=\"0.07\", expect_size=\"23620608\"] \n  10 -> 13 [size =\"23620608\"]\n  10 -> 14 [size =\"23620608\"]\n  10 -> 15 [size =\"23620608\"]\n  11 [size=\"22927360\", alpha=\"0.10\", expect_size=\"11463680\"] \n  11 -> 13 [size =\"11463680\"]\n  11 -> 14 [size =\"11463680\"]\n  11 -> 15 [size =\"11463680\"]\n  12 [size=\"31954944\", alpha=\"0.16\", expect_size=\"15977472\"] \n  12 -> 13 [size =\"15977472\"]\n  12 -> 14 [size =\"15977472\"]\n  12 -> 15 [size =\"15977472\"]\n  13 [size=\"59473920\", alpha=\"0.17\", expect_size=\"29736960\"] \n  13 -> 16 [size =\"29736960\"]\n  13 -> 17 [size =\"29736960\"]\n  13 -> 18 [size =\"29736960\"]\n  13 -> 19 [size =\"29736960\"]\n  13 -> 20 [size =\"29736960\"]\n  14 [size=\"67426304\", alpha=\"0.17\", expect_size=\"33713152\"] \n  14 -> 16 [size =\"33713152\"]\n  14 -> 17 [size =\"33713152\"]\n  14 -> 18 [size =\"33713152\"]\n  14 -> 19 [size =\"33713152\"]\n  14 -> 20 [size =\"33713152\"]\n  15 [size=\"55687168\", alpha=\"0.01\", expect_size=\"27843584\"] \n  15 -> 16 [size =\"27843584\"]\n  15 -> 17 [size =\"27843584\"]\n  15 -> 19 [size =\"27843584\"]\n  15 -> 20 [size =\"27843584\"]\n  16 [size=\"15556608\", alpha=\"0.10\", expect_size=\"7778304\"] \n  16 -> 21 [size =\"7778304\"]\n  17 [size=\"100077568\", alpha=\"0.08\", expect_size=\"50038784\"] \n  17 -> 22 [size =\"50038784\"]\n  17 -> 23 [size =\"50038784\"]\n  18 [size=\"19781632\", alpha=\"0.04\", expect_size=\"9890816\"] \n  18 -> 21 [size =\"9890816\"]\n  18 -> 22 [size =\"9890816\"]\n  18 -> 23 [size =\"9890816\"]\n  19 [size=\"59738112\", alpha=\"0.08\", expect_size=\"29869056\"] \n  19 -> 21 [size =\"29869056\"]\n  19 -> 22 [size =\"29869056\"]\n  19 -> 23 [size =\"29869056\"]\n  20 [size=\"17233920\", alpha=\"0.14\", expect_size=\"8616960\"] \n  20 -> 21 [size =\"8616960\"]\n  20 -> 22 [size =\"8616960\"]\n  20 -> 23 [size =\"8616960\"]\n  21 [size=\"50853888\", alpha=\"0.14\", expect_size=\"25426944\"] \n  21 -> 24 [size =\"25426944\"]\n  21 -> 27 [size =\"25426944\"]\n  21 -> 28 [size =\"25426944\"]\n  22 [size=\"96512000\", alpha=\"0.18\", expect_size=\"48256000\"] \n  22 -> 28 [size =\"48256000\"]\n  23 [size=\"75534336\", alpha=\"0.18\", expect_size=\"37767168\"] \n  23 -> 24 [size =\"37767168\"]\n  23 -> 25 [size =\"37767168\"]\n  23 -> 26 [size =\"37767168\"]\n  23 -> 28 [size =\"37767168\"]\n  24 [size=\"63565824\", alpha=\"0.18\", expect_size=\"31782912\"] \n  24 -> 30 [size =\"31782912\"]\n  25 [size=\"50595840\", alpha=\"0.04\", expect_size=\"25297920\"] \n  26 [size=\"53415936\", alpha=\"0.11\", expect_size=\"26707968\"] \n  26 -> 30 [size =\"26707968\"]\n  27 [size=\"100673536\", alpha=\"0.03\", expect_size=\"50336768\"] \n  27 -> 29 [size =\"50336768\"]\n  27 -> 30 [size =\"50336768\"]\n  28 [size=\"42977280\", alpha=\"0.01\", expect_size=\"21488640\"] \n  28 -> 30 [size =\"21488640\"]\n  29 [size=\"59746304\", alpha=\"0.10\", expect_size=\"29873152\"] \n  30 [size=\"95940608\", alpha=\"0.07\", expect_size=\"47970304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23009280\", alpha=\"0.18\", expect_size=\"9203712\"] \n  1 -> 2 [size =\"9203712\"]\n  1 -> 3 [size =\"9203712\"]\n  2 [size=\"80960000\", alpha=\"0.17\", expect_size=\"32384000\"] \n  3 [size=\"21588480\", alpha=\"0.01\", expect_size=\"8635392\"] \n  3 -> 4 [size =\"8635392\"]\n  4 [size=\"86243840\", alpha=\"0.05\", expect_size=\"34497536\"] \n  4 -> 5 [size =\"34497536\"]\n  5 [size=\"74275840\", alpha=\"0.13\", expect_size=\"29710336\"] \n  5 -> 6 [size =\"29710336\"]\n  5 -> 7 [size =\"29710336\"]\n  6 [size=\"22254080\", alpha=\"0.09\", expect_size=\"8901632\"] \n  6 -> 8 [size =\"8901632\"]\n  7 [size=\"73111040\", alpha=\"0.18\", expect_size=\"29244416\"] \n  8 [size=\"90078720\", alpha=\"0.16\", expect_size=\"36031488\"] \n  8 -> 9 [size =\"36031488\"]\n  8 -> 10 [size =\"36031488\"]\n  9 [size=\"91361280\", alpha=\"0.15\", expect_size=\"36544512\"] \n  10 [size=\"70730240\", alpha=\"0.01\", expect_size=\"28292096\"] \n  10 -> 11 [size =\"28292096\"]\n  11 [size=\"16468480\", alpha=\"0.09\", expect_size=\"6587392\"] \n  11 -> 12 [size =\"6587392\"]\n  11 -> 13 [size =\"6587392\"]\n  12 [size=\"123363840\", alpha=\"0.17\", expect_size=\"49345536\"] \n  12 -> 14 [size =\"49345536\"]\n  13 [size=\"104089600\", alpha=\"0.01\", expect_size=\"41635840\"] \n  14 [size=\"109662720\", alpha=\"0.16\", expect_size=\"43865088\"] \n  14 -> 15 [size =\"43865088\"]\n  15 [size=\"22351360\", alpha=\"0.15\", expect_size=\"8940544\"] \n  15 -> 16 [size =\"8940544\"]\n  15 -> 17 [size =\"8940544\"]\n  16 [size=\"101647360\", alpha=\"0.03\", expect_size=\"40658944\"] \n  16 -> 18 [size =\"40658944\"]\n  16 -> 19 [size =\"40658944\"]\n  17 [size=\"34365440\", alpha=\"0.09\", expect_size=\"13746176\"] \n  18 [size=\"23029760\", alpha=\"0.13\", expect_size=\"9211904\"] \n  18 -> 20 [size =\"9211904\"]\n  19 [size=\"118873600\", alpha=\"0.13\", expect_size=\"47549440\"] \n  19 -> 20 [size =\"47549440\"]\n  20 [size=\"90301440\", alpha=\"0.14\", expect_size=\"36120576\"] \n  20 -> 21 [size =\"36120576\"]\n  20 -> 22 [size =\"36120576\"]\n  21 [size=\"94269440\", alpha=\"0.16\", expect_size=\"37707776\"] \n  22 [size=\"27530240\", alpha=\"0.10\", expect_size=\"11012096\"] \n  22 -> 23 [size =\"11012096\"]\n  22 -> 24 [size =\"11012096\"]\n  23 [size=\"126991360\", alpha=\"0.06\", expect_size=\"50796544\"] \n  23 -> 25 [size =\"50796544\"]\n  23 -> 26 [size =\"50796544\"]\n  24 [size=\"13340160\", alpha=\"0.14\", expect_size=\"5336064\"] \n  24 -> 25 [size =\"5336064\"]\n  25 [size=\"109829120\", alpha=\"0.12\", expect_size=\"43931648\"] \n  26 [size=\"78238720\", alpha=\"0.12\", expect_size=\"31295488\"] \n  26 -> 27 [size =\"31295488\"]\n  27 [size=\"93875200\", alpha=\"0.02\", expect_size=\"37550080\"] \n  27 -> 28 [size =\"37550080\"]\n  28 [size=\"29967360\", alpha=\"0.05\", expect_size=\"11986944\"] \n  28 -> 29 [size =\"11986944\"]\n  28 -> 30 [size =\"11986944\"]\n  29 [size=\"108398080\", alpha=\"0.02\", expect_size=\"43359232\"] \n  30 [size=\"65697280\", alpha=\"0.08\", expect_size=\"26278912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32817152\", alpha=\"0.19\", expect_size=\"16408576\"] \n  1 -> 21 [size =\"16408576\"]\n  1 -> 22 [size =\"16408576\"]\n  1 -> 29 [size =\"16408576\"]\n  2 [size=\"97867776\", alpha=\"0.10\", expect_size=\"48933888\"] \n  2 -> 22 [size =\"48933888\"]\n  2 -> 22 [size =\"48933888\"]\n  2 -> 28 [size =\"48933888\"]\n  3 [size=\"60903424\", alpha=\"0.03\", expect_size=\"30451712\"] \n  3 -> 22 [size =\"30451712\"]\n  3 -> 24 [size =\"30451712\"]\n  3 -> 28 [size =\"30451712\"]\n  4 [size=\"76763136\", alpha=\"0.12\", expect_size=\"38381568\"] \n  4 -> 22 [size =\"38381568\"]\n  4 -> 27 [size =\"38381568\"]\n  5 [size=\"33794048\", alpha=\"0.14\", expect_size=\"16897024\"] \n  5 -> 21 [size =\"16897024\"]\n  5 -> 23 [size =\"16897024\"]\n  5 -> 24 [size =\"16897024\"]\n  5 -> 26 [size =\"16897024\"]\n  5 -> 27 [size =\"16897024\"]\n  5 -> 28 [size =\"16897024\"]\n  6 [size=\"19873792\", alpha=\"0.07\", expect_size=\"9936896\"] \n  6 -> 23 [size =\"9936896\"]\n  6 -> 27 [size =\"9936896\"]\n  7 [size=\"31707136\", alpha=\"0.16\", expect_size=\"15853568\"] \n  7 -> 21 [size =\"15853568\"]\n  7 -> 23 [size =\"15853568\"]\n  7 -> 24 [size =\"15853568\"]\n  7 -> 30 [size =\"15853568\"]\n  8 [size=\"87207936\", alpha=\"0.06\", expect_size=\"43603968\"] \n  8 -> 21 [size =\"43603968\"]\n  8 -> 28 [size =\"43603968\"]\n  8 -> 30 [size =\"43603968\"]\n  9 [size=\"56363008\", alpha=\"0.14\", expect_size=\"28181504\"] \n  9 -> 21 [size =\"28181504\"]\n  9 -> 25 [size =\"28181504\"]\n  9 -> 27 [size =\"28181504\"]\n  9 -> 28 [size =\"28181504\"]\n  10 [size=\"33263616\", alpha=\"0.03\", expect_size=\"16631808\"] \n  10 -> 22 [size =\"16631808\"]\n  10 -> 27 [size =\"16631808\"]\n  10 -> 28 [size =\"16631808\"]\n  11 [size=\"101537792\", alpha=\"0.14\", expect_size=\"50768896\"] \n  11 -> 21 [size =\"50768896\"]\n  11 -> 24 [size =\"50768896\"]\n  11 -> 26 [size =\"50768896\"]\n  11 -> 27 [size =\"50768896\"]\n  11 -> 29 [size =\"50768896\"]\n  12 [size=\"94511104\", alpha=\"0.14\", expect_size=\"47255552\"] \n  12 -> 21 [size =\"47255552\"]\n  12 -> 23 [size =\"47255552\"]\n  12 -> 25 [size =\"47255552\"]\n  12 -> 28 [size =\"47255552\"]\n  13 [size=\"49149952\", alpha=\"0.06\", expect_size=\"24574976\"] \n  13 -> 24 [size =\"24574976\"]\n  13 -> 25 [size =\"24574976\"]\n  13 -> 26 [size =\"24574976\"]\n  14 [size=\"64292864\", alpha=\"0.01\", expect_size=\"32146432\"] \n  14 -> 22 [size =\"32146432\"]\n  14 -> 24 [size =\"32146432\"]\n  14 -> 25 [size =\"32146432\"]\n  15 [size=\"27641856\", alpha=\"0.18\", expect_size=\"13820928\"] \n  15 -> 21 [size =\"13820928\"]\n  15 -> 22 [size =\"13820928\"]\n  15 -> 25 [size =\"13820928\"]\n  16 [size=\"92276736\", alpha=\"0.01\", expect_size=\"46138368\"] \n  16 -> 25 [size =\"46138368\"]\n  17 [size=\"31836160\", alpha=\"0.11\", expect_size=\"15918080\"] \n  17 -> 25 [size =\"15918080\"]\n  17 -> 27 [size =\"15918080\"]\n  18 [size=\"13596672\", alpha=\"0.18\", expect_size=\"6798336\"] \n  18 -> 23 [size =\"6798336\"]\n  18 -> 25 [size =\"6798336\"]\n  19 [size=\"40871936\", alpha=\"0.10\", expect_size=\"20435968\"] \n  19 -> 23 [size =\"20435968\"]\n  19 -> 24 [size =\"20435968\"]\n  19 -> 25 [size =\"20435968\"]\n  19 -> 27 [size =\"20435968\"]\n  20 [size=\"14899200\", alpha=\"0.20\", expect_size=\"7449600\"] \n  20 -> 24 [size =\"7449600\"]\n  20 -> 27 [size =\"7449600\"]\n  20 -> 28 [size =\"7449600\"]\n  20 -> 29 [size =\"7449600\"]\n  20 -> 30 [size =\"7449600\"]\n  21 [size=\"29282304\", alpha=\"0.15\", expect_size=\"14641152\"] \n  22 [size=\"95621120\", alpha=\"0.08\", expect_size=\"47810560\"] \n  23 [size=\"65421312\", alpha=\"0.12\", expect_size=\"32710656\"] \n  24 [size=\"95684608\", alpha=\"0.10\", expect_size=\"47842304\"] \n  25 [size=\"98369536\", alpha=\"0.13\", expect_size=\"49184768\"] \n  26 [size=\"87889920\", alpha=\"0.18\", expect_size=\"43944960\"] \n  27 [size=\"92280832\", alpha=\"0.08\", expect_size=\"46140416\"] \n  28 [size=\"49823744\", alpha=\"0.13\", expect_size=\"24911872\"] \n  29 [size=\"41502720\", alpha=\"0.09\", expect_size=\"20751360\"] \n  30 [size=\"87631872\", alpha=\"0.09\", expect_size=\"43815936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90994688\", alpha=\"0.03\", expect_size=\"45497344\"] \n  1 -> 2 [size =\"45497344\"]\n  2 [size=\"57333760\", alpha=\"0.07\", expect_size=\"28666880\"] \n  2 -> 3 [size =\"28666880\"]\n  3 [size=\"65507328\", alpha=\"0.05\", expect_size=\"32753664\"] \n  3 -> 4 [size =\"32753664\"]\n  4 [size=\"60624896\", alpha=\"0.09\", expect_size=\"30312448\"] \n  4 -> 5 [size =\"30312448\"]\n  5 [size=\"78061568\", alpha=\"0.14\", expect_size=\"39030784\"] \n  5 -> 6 [size =\"39030784\"]\n  6 [size=\"98592768\", alpha=\"0.09\", expect_size=\"49296384\"] \n  6 -> 7 [size =\"49296384\"]\n  7 [size=\"87918592\", alpha=\"0.06\", expect_size=\"43959296\"] \n  7 -> 8 [size =\"43959296\"]\n  8 [size=\"34613248\", alpha=\"0.14\", expect_size=\"17306624\"] \n  8 -> 9 [size =\"17306624\"]\n  9 [size=\"26867712\", alpha=\"0.18\", expect_size=\"13433856\"] \n  9 -> 10 [size =\"13433856\"]\n  10 [size=\"36790272\", alpha=\"0.18\", expect_size=\"18395136\"] \n  10 -> 11 [size =\"18395136\"]\n  11 [size=\"100063232\", alpha=\"0.08\", expect_size=\"50031616\"] \n  11 -> 12 [size =\"50031616\"]\n  12 [size=\"18030592\", alpha=\"0.19\", expect_size=\"9015296\"] \n  12 -> 13 [size =\"9015296\"]\n  13 [size=\"51599360\", alpha=\"0.00\", expect_size=\"25799680\"] \n  13 -> 14 [size =\"25799680\"]\n  14 [size=\"75872256\", alpha=\"0.20\", expect_size=\"37936128\"] \n  14 -> 15 [size =\"37936128\"]\n  15 [size=\"23306240\", alpha=\"0.07\", expect_size=\"11653120\"] \n  15 -> 16 [size =\"11653120\"]\n  16 [size=\"90003456\", alpha=\"0.10\", expect_size=\"45001728\"] \n  16 -> 17 [size =\"45001728\"]\n  17 [size=\"36513792\", alpha=\"0.07\", expect_size=\"18256896\"] \n  17 -> 18 [size =\"18256896\"]\n  18 [size=\"62474240\", alpha=\"0.13\", expect_size=\"31237120\"] \n  18 -> 19 [size =\"31237120\"]\n  19 [size=\"32964608\", alpha=\"0.19\", expect_size=\"16482304\"] \n  19 -> 20 [size =\"16482304\"]\n  20 [size=\"24627200\", alpha=\"0.09\", expect_size=\"12313600\"] \n  20 -> 21 [size =\"12313600\"]\n  21 [size=\"16310272\", alpha=\"0.17\", expect_size=\"8155136\"] \n  21 -> 22 [size =\"8155136\"]\n  22 [size=\"55521280\", alpha=\"0.14\", expect_size=\"27760640\"] \n  22 -> 23 [size =\"27760640\"]\n  23 [size=\"48988160\", alpha=\"0.02\", expect_size=\"24494080\"] \n  23 -> 24 [size =\"24494080\"]\n  24 [size=\"49659904\", alpha=\"0.01\", expect_size=\"24829952\"] \n  24 -> 25 [size =\"24829952\"]\n  25 [size=\"47716352\", alpha=\"0.15\", expect_size=\"23858176\"] \n  25 -> 26 [size =\"23858176\"]\n  26 [size=\"82130944\", alpha=\"0.07\", expect_size=\"41065472\"] \n  26 -> 27 [size =\"41065472\"]\n  27 [size=\"34084864\", alpha=\"0.16\", expect_size=\"17042432\"] \n  27 -> 28 [size =\"17042432\"]\n  28 [size=\"67678208\", alpha=\"0.10\", expect_size=\"33839104\"] \n  28 -> 29 [size =\"33839104\"]\n  29 [size=\"33611776\", alpha=\"0.07\", expect_size=\"16805888\"] \n  29 -> 30 [size =\"16805888\"]\n  30 [size=\"31170560\", alpha=\"0.10\", expect_size=\"15585280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66213888\", alpha=\"0.16\", expect_size=\"33106944\"] \n  1 -> 15 [size =\"33106944\"]\n  1 -> 19 [size =\"33106944\"]\n  2 [size=\"103778304\", alpha=\"0.11\", expect_size=\"51889152\"] \n  2 -> 12 [size =\"51889152\"]\n  2 -> 13 [size =\"51889152\"]\n  3 [size=\"29470720\", alpha=\"0.04\", expect_size=\"14735360\"] \n  3 -> 13 [size =\"14735360\"]\n  3 -> 13 [size =\"14735360\"]\n  3 -> 15 [size =\"14735360\"]\n  4 [size=\"91928576\", alpha=\"0.03\", expect_size=\"45964288\"] \n  4 -> 13 [size =\"45964288\"]\n  4 -> 14 [size =\"45964288\"]\n  4 -> 15 [size =\"45964288\"]\n  4 -> 16 [size =\"45964288\"]\n  5 [size=\"18464768\", alpha=\"0.02\", expect_size=\"9232384\"] \n  5 -> 18 [size =\"9232384\"]\n  6 [size=\"25528320\", alpha=\"0.00\", expect_size=\"12764160\"] \n  6 -> 12 [size =\"12764160\"]\n  6 -> 14 [size =\"12764160\"]\n  6 -> 17 [size =\"12764160\"]\n  6 -> 19 [size =\"12764160\"]\n  7 [size=\"39778304\", alpha=\"0.00\", expect_size=\"19889152\"] \n  7 -> 12 [size =\"19889152\"]\n  7 -> 14 [size =\"19889152\"]\n  7 -> 16 [size =\"19889152\"]\n  7 -> 17 [size =\"19889152\"]\n  8 [size=\"26900480\", alpha=\"0.11\", expect_size=\"13450240\"] \n  8 -> 12 [size =\"13450240\"]\n  8 -> 19 [size =\"13450240\"]\n  9 [size=\"74127360\", alpha=\"0.11\", expect_size=\"37063680\"] \n  9 -> 12 [size =\"37063680\"]\n  9 -> 13 [size =\"37063680\"]\n  10 [size=\"47491072\", alpha=\"0.16\", expect_size=\"23745536\"] \n  10 -> 17 [size =\"23745536\"]\n  10 -> 19 [size =\"23745536\"]\n  11 [size=\"61546496\", alpha=\"0.07\", expect_size=\"30773248\"] \n  11 -> 12 [size =\"30773248\"]\n  11 -> 14 [size =\"30773248\"]\n  11 -> 19 [size =\"30773248\"]\n  12 [size=\"40744960\", alpha=\"0.18\", expect_size=\"20372480\"] \n  13 [size=\"93679616\", alpha=\"0.18\", expect_size=\"46839808\"] \n  14 [size=\"19169280\", alpha=\"0.12\", expect_size=\"9584640\"] \n  14 -> 22 [size =\"9584640\"]\n  14 -> 23 [size =\"9584640\"]\n  14 -> 24 [size =\"9584640\"]\n  14 -> 25 [size =\"9584640\"]\n  14 -> 27 [size =\"9584640\"]\n  15 [size=\"33695744\", alpha=\"0.00\", expect_size=\"16847872\"] \n  15 -> 22 [size =\"16847872\"]\n  15 -> 25 [size =\"16847872\"]\n  16 [size=\"44820480\", alpha=\"0.12\", expect_size=\"22410240\"] \n  16 -> 21 [size =\"22410240\"]\n  16 -> 24 [size =\"22410240\"]\n  17 [size=\"46477312\", alpha=\"0.15\", expect_size=\"23238656\"] \n  17 -> 21 [size =\"23238656\"]\n  17 -> 25 [size =\"23238656\"]\n  17 -> 27 [size =\"23238656\"]\n  18 [size=\"46540800\", alpha=\"0.15\", expect_size=\"23270400\"] \n  18 -> 27 [size =\"23270400\"]\n  19 [size=\"97781760\", alpha=\"0.01\", expect_size=\"48890880\"] \n  19 -> 20 [size =\"48890880\"]\n  19 -> 26 [size =\"48890880\"]\n  20 [size=\"57210880\", alpha=\"0.12\", expect_size=\"28605440\"] \n  20 -> 29 [size =\"28605440\"]\n  21 [size=\"39829504\", alpha=\"0.15\", expect_size=\"19914752\"] \n  21 -> 28 [size =\"19914752\"]\n  22 [size=\"71976960\", alpha=\"0.18\", expect_size=\"35988480\"] \n  23 [size=\"62154752\", alpha=\"0.05\", expect_size=\"31077376\"] \n  24 [size=\"52699136\", alpha=\"0.10\", expect_size=\"26349568\"] \n  24 -> 28 [size =\"26349568\"]\n  25 [size=\"14495744\", alpha=\"0.15\", expect_size=\"7247872\"] \n  25 -> 29 [size =\"7247872\"]\n  25 -> 30 [size =\"7247872\"]\n  26 [size=\"14897152\", alpha=\"0.05\", expect_size=\"7448576\"] \n  26 -> 29 [size =\"7448576\"]\n  27 [size=\"69326848\", alpha=\"0.00\", expect_size=\"34663424\"] \n  27 -> 28 [size =\"34663424\"]\n  27 -> 29 [size =\"34663424\"]\n  28 [size=\"43685888\", alpha=\"0.19\", expect_size=\"21842944\"] \n  29 [size=\"19419136\", alpha=\"0.11\", expect_size=\"9709568\"] \n  30 [size=\"22167552\", alpha=\"0.11\", expect_size=\"11083776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97873920\", alpha=\"0.05\", expect_size=\"48936960\"] \n  1 -> 2 [size =\"48936960\"]\n  1 -> 3 [size =\"48936960\"]\n  2 [size=\"75141120\", alpha=\"0.13\", expect_size=\"37570560\"] \n  2 -> 4 [size =\"37570560\"]\n  2 -> 5 [size =\"37570560\"]\n  3 [size=\"22292480\", alpha=\"0.05\", expect_size=\"11146240\"] \n  3 -> 4 [size =\"11146240\"]\n  3 -> 5 [size =\"11146240\"]\n  4 [size=\"49559552\", alpha=\"0.15\", expect_size=\"24779776\"] \n  4 -> 6 [size =\"24779776\"]\n  5 [size=\"16910336\", alpha=\"0.03\", expect_size=\"8455168\"] \n  6 [size=\"81848320\", alpha=\"0.11\", expect_size=\"40924160\"] \n  6 -> 7 [size =\"40924160\"]\n  7 [size=\"32114688\", alpha=\"0.15\", expect_size=\"16057344\"] \n  7 -> 8 [size =\"16057344\"]\n  7 -> 9 [size =\"16057344\"]\n  8 [size=\"78495744\", alpha=\"0.16\", expect_size=\"39247872\"] \n  8 -> 10 [size =\"39247872\"]\n  8 -> 11 [size =\"39247872\"]\n  9 [size=\"47616000\", alpha=\"0.18\", expect_size=\"23808000\"] \n  9 -> 10 [size =\"23808000\"]\n  10 [size=\"19816448\", alpha=\"0.01\", expect_size=\"9908224\"] \n  10 -> 12 [size =\"9908224\"]\n  11 [size=\"94758912\", alpha=\"0.10\", expect_size=\"47379456\"] \n  11 -> 12 [size =\"47379456\"]\n  12 [size=\"25921536\", alpha=\"0.12\", expect_size=\"12960768\"] \n  12 -> 13 [size =\"12960768\"]\n  13 [size=\"87343104\", alpha=\"0.01\", expect_size=\"43671552\"] \n  13 -> 14 [size =\"43671552\"]\n  14 [size=\"15263744\", alpha=\"0.16\", expect_size=\"7631872\"] \n  14 -> 15 [size =\"7631872\"]\n  15 [size=\"87105536\", alpha=\"0.13\", expect_size=\"43552768\"] \n  15 -> 16 [size =\"43552768\"]\n  16 [size=\"101775360\", alpha=\"0.07\", expect_size=\"50887680\"] \n  16 -> 17 [size =\"50887680\"]\n  16 -> 18 [size =\"50887680\"]\n  17 [size=\"57483264\", alpha=\"0.07\", expect_size=\"28741632\"] \n  17 -> 19 [size =\"28741632\"]\n  18 [size=\"34992128\", alpha=\"0.06\", expect_size=\"17496064\"] \n  18 -> 19 [size =\"17496064\"]\n  19 [size=\"14348288\", alpha=\"0.15\", expect_size=\"7174144\"] \n  19 -> 20 [size =\"7174144\"]\n  19 -> 21 [size =\"7174144\"]\n  20 [size=\"100376576\", alpha=\"0.08\", expect_size=\"50188288\"] \n  20 -> 22 [size =\"50188288\"]\n  20 -> 23 [size =\"50188288\"]\n  21 [size=\"11382784\", alpha=\"0.20\", expect_size=\"5691392\"] \n  21 -> 22 [size =\"5691392\"]\n  21 -> 23 [size =\"5691392\"]\n  22 [size=\"56272896\", alpha=\"0.05\", expect_size=\"28136448\"] \n  22 -> 24 [size =\"28136448\"]\n  23 [size=\"17242112\", alpha=\"0.13\", expect_size=\"8621056\"] \n  23 -> 24 [size =\"8621056\"]\n  24 [size=\"20643840\", alpha=\"0.09\", expect_size=\"10321920\"] \n  24 -> 25 [size =\"10321920\"]\n  24 -> 26 [size =\"10321920\"]\n  25 [size=\"93964288\", alpha=\"0.06\", expect_size=\"46982144\"] \n  25 -> 27 [size =\"46982144\"]\n  26 [size=\"58580992\", alpha=\"0.19\", expect_size=\"29290496\"] \n  26 -> 27 [size =\"29290496\"]\n  27 [size=\"90042368\", alpha=\"0.16\", expect_size=\"45021184\"] \n  27 -> 28 [size =\"45021184\"]\n  28 [size=\"29061120\", alpha=\"0.08\", expect_size=\"14530560\"] \n  28 -> 29 [size =\"14530560\"]\n  28 -> 30 [size =\"14530560\"]\n  29 [size=\"55984128\", alpha=\"0.07\", expect_size=\"27992064\"] \n  30 [size=\"32000000\", alpha=\"0.08\", expect_size=\"16000000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40384000\", alpha=\"0.09\", expect_size=\"16153600\"] \n  1 -> 11 [size =\"16153600\"]\n  1 -> 12 [size =\"16153600\"]\n  1 -> 13 [size =\"16153600\"]\n  2 [size=\"110046720\", alpha=\"0.03\", expect_size=\"44018688\"] \n  2 -> 11 [size =\"44018688\"]\n  2 -> 12 [size =\"44018688\"]\n  2 -> 13 [size =\"44018688\"]\n  2 -> 14 [size =\"44018688\"]\n  2 -> 16 [size =\"44018688\"]\n  3 [size=\"51041280\", alpha=\"0.08\", expect_size=\"20416512\"] \n  3 -> 10 [size =\"20416512\"]\n  3 -> 12 [size =\"20416512\"]\n  3 -> 13 [size =\"20416512\"]\n  3 -> 15 [size =\"20416512\"]\n  4 [size=\"75950080\", alpha=\"0.12\", expect_size=\"30380032\"] \n  4 -> 10 [size =\"30380032\"]\n  4 -> 11 [size =\"30380032\"]\n  4 -> 13 [size =\"30380032\"]\n  4 -> 15 [size =\"30380032\"]\n  4 -> 16 [size =\"30380032\"]\n  5 [size=\"124157440\", alpha=\"0.02\", expect_size=\"49662976\"] \n  5 -> 16 [size =\"49662976\"]\n  6 [size=\"102571520\", alpha=\"0.19\", expect_size=\"41028608\"] \n  6 -> 10 [size =\"41028608\"]\n  7 [size=\"65126400\", alpha=\"0.10\", expect_size=\"26050560\"] \n  7 -> 10 [size =\"26050560\"]\n  7 -> 11 [size =\"26050560\"]\n  7 -> 12 [size =\"26050560\"]\n  7 -> 16 [size =\"26050560\"]\n  8 [size=\"118986240\", alpha=\"0.02\", expect_size=\"47594496\"] \n  8 -> 14 [size =\"47594496\"]\n  8 -> 16 [size =\"47594496\"]\n  9 [size=\"56524800\", alpha=\"0.11\", expect_size=\"22609920\"] \n  9 -> 11 [size =\"22609920\"]\n  9 -> 12 [size =\"22609920\"]\n  10 [size=\"100659200\", alpha=\"0.15\", expect_size=\"40263680\"] \n  10 -> 17 [size =\"40263680\"]\n  10 -> 18 [size =\"40263680\"]\n  10 -> 19 [size =\"40263680\"]\n  10 -> 22 [size =\"40263680\"]\n  11 [size=\"77921280\", alpha=\"0.03\", expect_size=\"31168512\"] \n  11 -> 18 [size =\"31168512\"]\n  11 -> 19 [size =\"31168512\"]\n  11 -> 20 [size =\"31168512\"]\n  11 -> 22 [size =\"31168512\"]\n  11 -> 24 [size =\"31168512\"]\n  12 [size=\"15298560\", alpha=\"0.03\", expect_size=\"6119424\"] \n  12 -> 18 [size =\"6119424\"]\n  12 -> 22 [size =\"6119424\"]\n  12 -> 23 [size =\"6119424\"]\n  12 -> 24 [size =\"6119424\"]\n  13 [size=\"33853440\", alpha=\"0.15\", expect_size=\"13541376\"] \n  13 -> 17 [size =\"13541376\"]\n  13 -> 19 [size =\"13541376\"]\n  13 -> 23 [size =\"13541376\"]\n  14 [size=\"83673600\", alpha=\"0.07\", expect_size=\"33469440\"] \n  14 -> 18 [size =\"33469440\"]\n  14 -> 24 [size =\"33469440\"]\n  15 [size=\"39221760\", alpha=\"0.14\", expect_size=\"15688704\"] \n  15 -> 17 [size =\"15688704\"]\n  15 -> 18 [size =\"15688704\"]\n  15 -> 19 [size =\"15688704\"]\n  15 -> 21 [size =\"15688704\"]\n  15 -> 23 [size =\"15688704\"]\n  15 -> 24 [size =\"15688704\"]\n  16 [size=\"53770240\", alpha=\"0.04\", expect_size=\"21508096\"] \n  16 -> 17 [size =\"21508096\"]\n  16 -> 19 [size =\"21508096\"]\n  16 -> 23 [size =\"21508096\"]\n  16 -> 24 [size =\"21508096\"]\n  17 [size=\"49699840\", alpha=\"0.14\", expect_size=\"19879936\"] \n  17 -> 25 [size =\"19879936\"]\n  17 -> 27 [size =\"19879936\"]\n  17 -> 29 [size =\"19879936\"]\n  17 -> 30 [size =\"19879936\"]\n  18 [size=\"106035200\", alpha=\"0.18\", expect_size=\"42414080\"] \n  18 -> 25 [size =\"42414080\"]\n  19 [size=\"114944000\", alpha=\"0.15\", expect_size=\"45977600\"] \n  19 -> 25 [size =\"45977600\"]\n  20 [size=\"63994880\", alpha=\"0.16\", expect_size=\"25597952\"] \n  20 -> 25 [size =\"25597952\"]\n  20 -> 29 [size =\"25597952\"]\n  21 [size=\"34055680\", alpha=\"0.01\", expect_size=\"13622272\"] \n  21 -> 27 [size =\"13622272\"]\n  21 -> 28 [size =\"13622272\"]\n  21 -> 30 [size =\"13622272\"]\n  22 [size=\"50519040\", alpha=\"0.02\", expect_size=\"20207616\"] \n  22 -> 27 [size =\"20207616\"]\n  23 [size=\"69836800\", alpha=\"0.10\", expect_size=\"27934720\"] \n  23 -> 25 [size =\"27934720\"]\n  23 -> 29 [size =\"27934720\"]\n  24 [size=\"42659840\", alpha=\"0.08\", expect_size=\"17063936\"] \n  24 -> 25 [size =\"17063936\"]\n  24 -> 26 [size =\"17063936\"]\n  24 -> 28 [size =\"17063936\"]\n  24 -> 30 [size =\"17063936\"]\n  25 [size=\"84285440\", alpha=\"0.05\", expect_size=\"33714176\"] \n  26 [size=\"48202240\", alpha=\"0.18\", expect_size=\"19280896\"] \n  27 [size=\"72212480\", alpha=\"0.19\", expect_size=\"28884992\"] \n  28 [size=\"33909760\", alpha=\"0.18\", expect_size=\"13563904\"] \n  29 [size=\"23498240\", alpha=\"0.05\", expect_size=\"9399296\"] \n  30 [size=\"114549760\", alpha=\"0.06\", expect_size=\"45819904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20113408\", alpha=\"0.02\", expect_size=\"10056704\"] \n  2 [size=\"66482176\", alpha=\"0.14\", expect_size=\"33241088\"] \n  2 -> 3 [size =\"33241088\"]\n  2 -> 4 [size =\"33241088\"]\n  3 [size=\"53393408\", alpha=\"0.11\", expect_size=\"26696704\"] \n  3 -> 6 [size =\"26696704\"]\n  4 [size=\"94779392\", alpha=\"0.02\", expect_size=\"47389696\"] \n  4 -> 5 [size =\"47389696\"]\n  4 -> 6 [size =\"47389696\"]\n  5 [size=\"75829248\", alpha=\"0.08\", expect_size=\"37914624\"] \n  5 -> 7 [size =\"37914624\"]\n  6 [size=\"70371328\", alpha=\"0.16\", expect_size=\"35185664\"] \n  7 [size=\"38881280\", alpha=\"0.03\", expect_size=\"19440640\"] \n  7 -> 8 [size =\"19440640\"]\n  8 [size=\"61868032\", alpha=\"0.11\", expect_size=\"30934016\"] \n  8 -> 9 [size =\"30934016\"]\n  8 -> 10 [size =\"30934016\"]\n  9 [size=\"64673792\", alpha=\"0.16\", expect_size=\"32336896\"] \n  10 [size=\"83298304\", alpha=\"0.04\", expect_size=\"41649152\"] \n  10 -> 11 [size =\"41649152\"]\n  11 [size=\"38316032\", alpha=\"0.11\", expect_size=\"19158016\"] \n  11 -> 12 [size =\"19158016\"]\n  12 [size=\"45701120\", alpha=\"0.16\", expect_size=\"22850560\"] \n  12 -> 13 [size =\"22850560\"]\n  12 -> 14 [size =\"22850560\"]\n  13 [size=\"18798592\", alpha=\"0.07\", expect_size=\"9399296\"] \n  13 -> 15 [size =\"9399296\"]\n  13 -> 16 [size =\"9399296\"]\n  14 [size=\"72476672\", alpha=\"0.15\", expect_size=\"36238336\"] \n  15 [size=\"83351552\", alpha=\"0.04\", expect_size=\"41675776\"] \n  15 -> 17 [size =\"41675776\"]\n  16 [size=\"25487360\", alpha=\"0.03\", expect_size=\"12743680\"] \n  17 [size=\"98752512\", alpha=\"0.17\", expect_size=\"49376256\"] \n  17 -> 18 [size =\"49376256\"]\n  18 [size=\"20150272\", alpha=\"0.06\", expect_size=\"10075136\"] \n  18 -> 19 [size =\"10075136\"]\n  18 -> 20 [size =\"10075136\"]\n  19 [size=\"73533440\", alpha=\"0.12\", expect_size=\"36766720\"] \n  20 [size=\"52994048\", alpha=\"0.07\", expect_size=\"26497024\"] \n  20 -> 21 [size =\"26497024\"]\n  21 [size=\"69840896\", alpha=\"0.05\", expect_size=\"34920448\"] \n  21 -> 22 [size =\"34920448\"]\n  22 [size=\"26898432\", alpha=\"0.14\", expect_size=\"13449216\"] \n  22 -> 23 [size =\"13449216\"]\n  22 -> 24 [size =\"13449216\"]\n  23 [size=\"102830080\", alpha=\"0.12\", expect_size=\"51415040\"] \n  23 -> 25 [size =\"51415040\"]\n  24 [size=\"39467008\", alpha=\"0.09\", expect_size=\"19733504\"] \n  25 [size=\"14624768\", alpha=\"0.19\", expect_size=\"7312384\"] \n  25 -> 26 [size =\"7312384\"]\n  26 [size=\"32995328\", alpha=\"0.02\", expect_size=\"16497664\"] \n  26 -> 27 [size =\"16497664\"]\n  27 [size=\"47239168\", alpha=\"0.10\", expect_size=\"23619584\"] \n  27 -> 28 [size =\"23619584\"]\n  28 [size=\"34013184\", alpha=\"0.10\", expect_size=\"17006592\"] \n  28 -> 29 [size =\"17006592\"]\n  28 -> 30 [size =\"17006592\"]\n  29 [size=\"62656512\", alpha=\"0.01\", expect_size=\"31328256\"] \n  30 [size=\"24147968\", alpha=\"0.08\", expect_size=\"12073984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100777984\", alpha=\"0.10\", expect_size=\"50388992\"] \n  1 -> 2 [size =\"50388992\"]\n  2 [size=\"82911232\", alpha=\"0.06\", expect_size=\"41455616\"] \n  2 -> 3 [size =\"41455616\"]\n  3 [size=\"96950272\", alpha=\"0.15\", expect_size=\"48475136\"] \n  3 -> 4 [size =\"48475136\"]\n  4 [size=\"23001088\", alpha=\"0.20\", expect_size=\"11500544\"] \n  4 -> 5 [size =\"11500544\"]\n  5 [size=\"103542784\", alpha=\"0.13\", expect_size=\"51771392\"] \n  5 -> 6 [size =\"51771392\"]\n  6 [size=\"34260992\", alpha=\"0.09\", expect_size=\"17130496\"] \n  6 -> 7 [size =\"17130496\"]\n  7 [size=\"19748864\", alpha=\"0.09\", expect_size=\"9874432\"] \n  7 -> 8 [size =\"9874432\"]\n  8 [size=\"17117184\", alpha=\"0.11\", expect_size=\"8558592\"] \n  8 -> 9 [size =\"8558592\"]\n  9 [size=\"101355520\", alpha=\"0.12\", expect_size=\"50677760\"] \n  9 -> 10 [size =\"50677760\"]\n  10 [size=\"47939584\", alpha=\"0.02\", expect_size=\"23969792\"] \n  10 -> 11 [size =\"23969792\"]\n  11 [size=\"82341888\", alpha=\"0.06\", expect_size=\"41170944\"] \n  11 -> 12 [size =\"41170944\"]\n  12 [size=\"36429824\", alpha=\"0.20\", expect_size=\"18214912\"] \n  12 -> 13 [size =\"18214912\"]\n  13 [size=\"63250432\", alpha=\"0.15\", expect_size=\"31625216\"] \n  13 -> 14 [size =\"31625216\"]\n  14 [size=\"41795584\", alpha=\"0.13\", expect_size=\"20897792\"] \n  14 -> 15 [size =\"20897792\"]\n  15 [size=\"40089600\", alpha=\"0.00\", expect_size=\"20044800\"] \n  15 -> 16 [size =\"20044800\"]\n  16 [size=\"100640768\", alpha=\"0.12\", expect_size=\"50320384\"] \n  16 -> 17 [size =\"50320384\"]\n  17 [size=\"47069184\", alpha=\"0.13\", expect_size=\"23534592\"] \n  17 -> 18 [size =\"23534592\"]\n  18 [size=\"90755072\", alpha=\"0.07\", expect_size=\"45377536\"] \n  18 -> 19 [size =\"45377536\"]\n  19 [size=\"47388672\", alpha=\"0.13\", expect_size=\"23694336\"] \n  19 -> 20 [size =\"23694336\"]\n  20 [size=\"103923712\", alpha=\"0.16\", expect_size=\"51961856\"] \n  20 -> 21 [size =\"51961856\"]\n  21 [size=\"16807936\", alpha=\"0.19\", expect_size=\"8403968\"] \n  21 -> 22 [size =\"8403968\"]\n  22 [size=\"45033472\", alpha=\"0.17\", expect_size=\"22516736\"] \n  22 -> 23 [size =\"22516736\"]\n  23 [size=\"44826624\", alpha=\"0.13\", expect_size=\"22413312\"] \n  23 -> 24 [size =\"22413312\"]\n  24 [size=\"23418880\", alpha=\"0.12\", expect_size=\"11709440\"] \n  24 -> 25 [size =\"11709440\"]\n  25 [size=\"84058112\", alpha=\"0.10\", expect_size=\"42029056\"] \n  25 -> 26 [size =\"42029056\"]\n  26 [size=\"84899840\", alpha=\"0.14\", expect_size=\"42449920\"] \n  26 -> 27 [size =\"42449920\"]\n  27 [size=\"45408256\", alpha=\"0.20\", expect_size=\"22704128\"] \n  27 -> 28 [size =\"22704128\"]\n  28 [size=\"11261952\", alpha=\"0.07\", expect_size=\"5630976\"] \n  28 -> 29 [size =\"5630976\"]\n  29 [size=\"43843584\", alpha=\"0.13\", expect_size=\"21921792\"] \n  29 -> 30 [size =\"21921792\"]\n  30 [size=\"104286208\", alpha=\"0.07\", expect_size=\"52143104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67762176\", alpha=\"0.11\", expect_size=\"33881088\"] \n  1 -> 2 [size =\"33881088\"]\n  2 [size=\"11184128\", alpha=\"0.14\", expect_size=\"5592064\"] \n  2 -> 3 [size =\"5592064\"]\n  3 [size=\"46950400\", alpha=\"0.13\", expect_size=\"23475200\"] \n  3 -> 4 [size =\"23475200\"]\n  4 [size=\"72574976\", alpha=\"0.11\", expect_size=\"36287488\"] \n  4 -> 5 [size =\"36287488\"]\n  5 [size=\"78282752\", alpha=\"0.01\", expect_size=\"39141376\"] \n  5 -> 6 [size =\"39141376\"]\n  6 [size=\"31545344\", alpha=\"0.03\", expect_size=\"15772672\"] \n  6 -> 7 [size =\"15772672\"]\n  7 [size=\"99133440\", alpha=\"0.07\", expect_size=\"49566720\"] \n  7 -> 8 [size =\"49566720\"]\n  8 [size=\"66721792\", alpha=\"0.02\", expect_size=\"33360896\"] \n  8 -> 9 [size =\"33360896\"]\n  9 [size=\"48498688\", alpha=\"0.16\", expect_size=\"24249344\"] \n  9 -> 10 [size =\"24249344\"]\n  10 [size=\"12488704\", alpha=\"0.10\", expect_size=\"6244352\"] \n  10 -> 11 [size =\"6244352\"]\n  11 [size=\"76433408\", alpha=\"0.16\", expect_size=\"38216704\"] \n  11 -> 12 [size =\"38216704\"]\n  12 [size=\"33669120\", alpha=\"0.06\", expect_size=\"16834560\"] \n  12 -> 13 [size =\"16834560\"]\n  13 [size=\"98088960\", alpha=\"0.20\", expect_size=\"49044480\"] \n  13 -> 14 [size =\"49044480\"]\n  14 [size=\"65779712\", alpha=\"0.02\", expect_size=\"32889856\"] \n  14 -> 15 [size =\"32889856\"]\n  15 [size=\"24449024\", alpha=\"0.05\", expect_size=\"12224512\"] \n  15 -> 16 [size =\"12224512\"]\n  16 [size=\"29923328\", alpha=\"0.13\", expect_size=\"14961664\"] \n  16 -> 17 [size =\"14961664\"]\n  17 [size=\"42260480\", alpha=\"0.08\", expect_size=\"21130240\"] \n  17 -> 18 [size =\"21130240\"]\n  18 [size=\"74547200\", alpha=\"0.17\", expect_size=\"37273600\"] \n  18 -> 19 [size =\"37273600\"]\n  19 [size=\"84398080\", alpha=\"0.17\", expect_size=\"42199040\"] \n  19 -> 20 [size =\"42199040\"]\n  20 [size=\"66564096\", alpha=\"0.14\", expect_size=\"33282048\"] \n  20 -> 21 [size =\"33282048\"]\n  21 [size=\"19978240\", alpha=\"0.03\", expect_size=\"9989120\"] \n  21 -> 22 [size =\"9989120\"]\n  22 [size=\"95481856\", alpha=\"0.12\", expect_size=\"47740928\"] \n  22 -> 23 [size =\"47740928\"]\n  23 [size=\"27578368\", alpha=\"0.09\", expect_size=\"13789184\"] \n  23 -> 24 [size =\"13789184\"]\n  24 [size=\"25458688\", alpha=\"0.18\", expect_size=\"12729344\"] \n  24 -> 25 [size =\"12729344\"]\n  25 [size=\"34123776\", alpha=\"0.03\", expect_size=\"17061888\"] \n  25 -> 26 [size =\"17061888\"]\n  26 [size=\"56567808\", alpha=\"0.11\", expect_size=\"28283904\"] \n  26 -> 27 [size =\"28283904\"]\n  27 [size=\"22681600\", alpha=\"0.19\", expect_size=\"11340800\"] \n  27 -> 28 [size =\"11340800\"]\n  28 [size=\"60745728\", alpha=\"0.18\", expect_size=\"30372864\"] \n  28 -> 29 [size =\"30372864\"]\n  29 [size=\"48107520\", alpha=\"0.06\", expect_size=\"24053760\"] \n  29 -> 30 [size =\"24053760\"]\n  30 [size=\"35747840\", alpha=\"0.13\", expect_size=\"17873920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91809792\", alpha=\"0.00\", expect_size=\"45904896\"] \n  1 -> 2 [size =\"45904896\"]\n  2 [size=\"92764160\", alpha=\"0.11\", expect_size=\"46382080\"] \n  2 -> 3 [size =\"46382080\"]\n  3 [size=\"29132800\", alpha=\"0.12\", expect_size=\"14566400\"] \n  3 -> 4 [size =\"14566400\"]\n  4 [size=\"18612224\", alpha=\"0.11\", expect_size=\"9306112\"] \n  4 -> 5 [size =\"9306112\"]\n  5 [size=\"55541760\", alpha=\"0.03\", expect_size=\"27770880\"] \n  5 -> 6 [size =\"27770880\"]\n  6 [size=\"55189504\", alpha=\"0.12\", expect_size=\"27594752\"] \n  6 -> 7 [size =\"27594752\"]\n  7 [size=\"32016384\", alpha=\"0.12\", expect_size=\"16008192\"] \n  7 -> 8 [size =\"16008192\"]\n  8 [size=\"61523968\", alpha=\"0.16\", expect_size=\"30761984\"] \n  8 -> 9 [size =\"30761984\"]\n  9 [size=\"20234240\", alpha=\"0.10\", expect_size=\"10117120\"] \n  9 -> 10 [size =\"10117120\"]\n  10 [size=\"72474624\", alpha=\"0.07\", expect_size=\"36237312\"] \n  10 -> 11 [size =\"36237312\"]\n  11 [size=\"103008256\", alpha=\"0.12\", expect_size=\"51504128\"] \n  11 -> 12 [size =\"51504128\"]\n  12 [size=\"10717184\", alpha=\"0.13\", expect_size=\"5358592\"] \n  12 -> 13 [size =\"5358592\"]\n  13 [size=\"60696576\", alpha=\"0.02\", expect_size=\"30348288\"] \n  13 -> 14 [size =\"30348288\"]\n  14 [size=\"22851584\", alpha=\"0.14\", expect_size=\"11425792\"] \n  14 -> 15 [size =\"11425792\"]\n  15 [size=\"72638464\", alpha=\"0.13\", expect_size=\"36319232\"] \n  15 -> 16 [size =\"36319232\"]\n  16 [size=\"85211136\", alpha=\"0.05\", expect_size=\"42605568\"] \n  16 -> 17 [size =\"42605568\"]\n  17 [size=\"45256704\", alpha=\"0.12\", expect_size=\"22628352\"] \n  17 -> 18 [size =\"22628352\"]\n  18 [size=\"103829504\", alpha=\"0.06\", expect_size=\"51914752\"] \n  18 -> 19 [size =\"51914752\"]\n  19 [size=\"84897792\", alpha=\"0.10\", expect_size=\"42448896\"] \n  19 -> 20 [size =\"42448896\"]\n  20 [size=\"35612672\", alpha=\"0.09\", expect_size=\"17806336\"] \n  20 -> 21 [size =\"17806336\"]\n  21 [size=\"70914048\", alpha=\"0.05\", expect_size=\"35457024\"] \n  21 -> 22 [size =\"35457024\"]\n  22 [size=\"32102400\", alpha=\"0.18\", expect_size=\"16051200\"] \n  22 -> 23 [size =\"16051200\"]\n  23 [size=\"91983872\", alpha=\"0.16\", expect_size=\"45991936\"] \n  23 -> 24 [size =\"45991936\"]\n  24 [size=\"103671808\", alpha=\"0.15\", expect_size=\"51835904\"] \n  24 -> 25 [size =\"51835904\"]\n  25 [size=\"75911168\", alpha=\"0.04\", expect_size=\"37955584\"] \n  25 -> 26 [size =\"37955584\"]\n  26 [size=\"40945664\", alpha=\"0.02\", expect_size=\"20472832\"] \n  26 -> 27 [size =\"20472832\"]\n  27 [size=\"63442944\", alpha=\"0.05\", expect_size=\"31721472\"] \n  27 -> 28 [size =\"31721472\"]\n  28 [size=\"26064896\", alpha=\"0.19\", expect_size=\"13032448\"] \n  28 -> 29 [size =\"13032448\"]\n  29 [size=\"53563392\", alpha=\"0.14\", expect_size=\"26781696\"] \n  29 -> 30 [size =\"26781696\"]\n  30 [size=\"100192256\", alpha=\"0.03\", expect_size=\"50096128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84190720\", alpha=\"0.10\", expect_size=\"33676288\"] \n  1 -> 2 [size =\"33676288\"]\n  2 [size=\"38988800\", alpha=\"0.17\", expect_size=\"15595520\"] \n  2 -> 3 [size =\"15595520\"]\n  3 [size=\"70709760\", alpha=\"0.10\", expect_size=\"28283904\"] \n  3 -> 4 [size =\"28283904\"]\n  4 [size=\"70850560\", alpha=\"0.19\", expect_size=\"28340224\"] \n  4 -> 5 [size =\"28340224\"]\n  5 [size=\"96442880\", alpha=\"0.03\", expect_size=\"38577152\"] \n  5 -> 6 [size =\"38577152\"]\n  6 [size=\"94251520\", alpha=\"0.20\", expect_size=\"37700608\"] \n  6 -> 7 [size =\"37700608\"]\n  7 [size=\"68897280\", alpha=\"0.07\", expect_size=\"27558912\"] \n  7 -> 8 [size =\"27558912\"]\n  8 [size=\"123112960\", alpha=\"0.19\", expect_size=\"49245184\"] \n  8 -> 9 [size =\"49245184\"]\n  9 [size=\"100346880\", alpha=\"0.01\", expect_size=\"40138752\"] \n  9 -> 10 [size =\"40138752\"]\n  10 [size=\"97454080\", alpha=\"0.03\", expect_size=\"38981632\"] \n  10 -> 11 [size =\"38981632\"]\n  11 [size=\"91985920\", alpha=\"0.16\", expect_size=\"36794368\"] \n  11 -> 12 [size =\"36794368\"]\n  12 [size=\"30451200\", alpha=\"0.17\", expect_size=\"12180480\"] \n  12 -> 13 [size =\"12180480\"]\n  13 [size=\"13235200\", alpha=\"0.13\", expect_size=\"5294080\"] \n  13 -> 14 [size =\"5294080\"]\n  14 [size=\"73827840\", alpha=\"0.03\", expect_size=\"29531136\"] \n  14 -> 15 [size =\"29531136\"]\n  15 [size=\"69268480\", alpha=\"0.17\", expect_size=\"27707392\"] \n  15 -> 16 [size =\"27707392\"]\n  16 [size=\"89441280\", alpha=\"0.02\", expect_size=\"35776512\"] \n  16 -> 17 [size =\"35776512\"]\n  17 [size=\"86876160\", alpha=\"0.11\", expect_size=\"34750464\"] \n  17 -> 18 [size =\"34750464\"]\n  18 [size=\"127810560\", alpha=\"0.18\", expect_size=\"51124224\"] \n  18 -> 19 [size =\"51124224\"]\n  19 [size=\"119897600\", alpha=\"0.15\", expect_size=\"47959040\"] \n  19 -> 20 [size =\"47959040\"]\n  20 [size=\"128404480\", alpha=\"0.05\", expect_size=\"51361792\"] \n  20 -> 21 [size =\"51361792\"]\n  21 [size=\"28912640\", alpha=\"0.06\", expect_size=\"11565056\"] \n  21 -> 22 [size =\"11565056\"]\n  22 [size=\"120609280\", alpha=\"0.12\", expect_size=\"48243712\"] \n  22 -> 23 [size =\"48243712\"]\n  23 [size=\"105361920\", alpha=\"0.08\", expect_size=\"42144768\"] \n  23 -> 24 [size =\"42144768\"]\n  24 [size=\"61903360\", alpha=\"0.14\", expect_size=\"24761344\"] \n  24 -> 25 [size =\"24761344\"]\n  25 [size=\"80386560\", alpha=\"0.14\", expect_size=\"32154624\"] \n  25 -> 26 [size =\"32154624\"]\n  26 [size=\"60198400\", alpha=\"0.07\", expect_size=\"24079360\"] \n  26 -> 27 [size =\"24079360\"]\n  27 [size=\"73062400\", alpha=\"0.10\", expect_size=\"29224960\"] \n  27 -> 28 [size =\"29224960\"]\n  28 [size=\"18391040\", alpha=\"0.12\", expect_size=\"7356416\"] \n  28 -> 29 [size =\"7356416\"]\n  29 [size=\"124526080\", alpha=\"0.08\", expect_size=\"49810432\"] \n  29 -> 30 [size =\"49810432\"]\n  30 [size=\"94287360\", alpha=\"0.19\", expect_size=\"37714944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117067093\", alpha=\"0.01\", expect_size=\"35120128\"] \n  1 -> 21 [size =\"35120128\"]\n  1 -> 22 [size =\"35120128\"]\n  1 -> 29 [size =\"35120128\"]\n  2 [size=\"155409067\", alpha=\"0.03\", expect_size=\"46622720\"] \n  2 -> 21 [size =\"46622720\"]\n  2 -> 22 [size =\"46622720\"]\n  2 -> 23 [size =\"46622720\"]\n  2 -> 25 [size =\"46622720\"]\n  2 -> 26 [size =\"46622720\"]\n  2 -> 29 [size =\"46622720\"]\n  2 -> 30 [size =\"46622720\"]\n  3 [size=\"101389653\", alpha=\"0.00\", expect_size=\"30416896\"] \n  3 -> 22 [size =\"30416896\"]\n  3 -> 23 [size =\"30416896\"]\n  3 -> 23 [size =\"30416896\"]\n  3 -> 29 [size =\"30416896\"]\n  4 [size=\"22586027\", alpha=\"0.10\", expect_size=\"6775808\"] \n  4 -> 23 [size =\"6775808\"]\n  4 -> 24 [size =\"6775808\"]\n  4 -> 28 [size =\"6775808\"]\n  4 -> 29 [size =\"6775808\"]\n  5 [size=\"166417067\", alpha=\"0.04\", expect_size=\"49925120\"] \n  5 -> 24 [size =\"49925120\"]\n  5 -> 25 [size =\"49925120\"]\n  5 -> 26 [size =\"49925120\"]\n  5 -> 29 [size =\"49925120\"]\n  6 [size=\"35659093\", alpha=\"0.14\", expect_size=\"10697728\"] \n  6 -> 22 [size =\"10697728\"]\n  6 -> 23 [size =\"10697728\"]\n  6 -> 29 [size =\"10697728\"]\n  7 [size=\"69795840\", alpha=\"0.02\", expect_size=\"20938752\"] \n  7 -> 21 [size =\"20938752\"]\n  7 -> 22 [size =\"20938752\"]\n  7 -> 23 [size =\"20938752\"]\n  7 -> 24 [size =\"20938752\"]\n  7 -> 25 [size =\"20938752\"]\n  8 [size=\"123845973\", alpha=\"0.01\", expect_size=\"37153792\"] \n  8 -> 22 [size =\"37153792\"]\n  8 -> 23 [size =\"37153792\"]\n  8 -> 24 [size =\"37153792\"]\n  8 -> 25 [size =\"37153792\"]\n  8 -> 29 [size =\"37153792\"]\n  9 [size=\"23900160\", alpha=\"0.01\", expect_size=\"7170048\"] \n  9 -> 23 [size =\"7170048\"]\n  9 -> 23 [size =\"7170048\"]\n  9 -> 24 [size =\"7170048\"]\n  10 [size=\"24207360\", alpha=\"0.08\", expect_size=\"7262208\"] \n  10 -> 21 [size =\"7262208\"]\n  10 -> 24 [size =\"7262208\"]\n  10 -> 26 [size =\"7262208\"]\n  11 [size=\"39004160\", alpha=\"0.09\", expect_size=\"11701248\"] \n  11 -> 21 [size =\"11701248\"]\n  11 -> 22 [size =\"11701248\"]\n  11 -> 25 [size =\"11701248\"]\n  11 -> 26 [size =\"11701248\"]\n  11 -> 29 [size =\"11701248\"]\n  12 [size=\"46940160\", alpha=\"0.09\", expect_size=\"14082048\"] \n  12 -> 22 [size =\"14082048\"]\n  12 -> 23 [size =\"14082048\"]\n  12 -> 24 [size =\"14082048\"]\n  12 -> 26 [size =\"14082048\"]\n  12 -> 29 [size =\"14082048\"]\n  13 [size=\"68983467\", alpha=\"0.03\", expect_size=\"20695040\"] \n  13 -> 21 [size =\"20695040\"]\n  13 -> 22 [size =\"20695040\"]\n  13 -> 23 [size =\"20695040\"]\n  13 -> 30 [size =\"20695040\"]\n  14 [size=\"69198507\", alpha=\"0.16\", expect_size=\"20759552\"] \n  14 -> 22 [size =\"20759552\"]\n  14 -> 23 [size =\"20759552\"]\n  14 -> 26 [size =\"20759552\"]\n  14 -> 29 [size =\"20759552\"]\n  15 [size=\"144049493\", alpha=\"0.14\", expect_size=\"43214848\"] \n  15 -> 22 [size =\"43214848\"]\n  15 -> 23 [size =\"43214848\"]\n  15 -> 24 [size =\"43214848\"]\n  15 -> 25 [size =\"43214848\"]\n  15 -> 26 [size =\"43214848\"]\n  15 -> 30 [size =\"43214848\"]\n  16 [size=\"21971627\", alpha=\"0.16\", expect_size=\"6591488\"] \n  16 -> 22 [size =\"6591488\"]\n  16 -> 25 [size =\"6591488\"]\n  16 -> 26 [size =\"6591488\"]\n  16 -> 29 [size =\"6591488\"]\n  17 [size=\"130177707\", alpha=\"0.16\", expect_size=\"39053312\"] \n  17 -> 29 [size =\"39053312\"]\n  18 [size=\"147729067\", alpha=\"0.09\", expect_size=\"44318720\"] \n  18 -> 22 [size =\"44318720\"]\n  18 -> 23 [size =\"44318720\"]\n  18 -> 26 [size =\"44318720\"]\n  19 [size=\"155463680\", alpha=\"0.11\", expect_size=\"46639104\"] \n  19 -> 27 [size =\"46639104\"]\n  19 -> 30 [size =\"46639104\"]\n  20 [size=\"165311147\", alpha=\"0.05\", expect_size=\"49593344\"] \n  20 -> 21 [size =\"49593344\"]\n  20 -> 22 [size =\"49593344\"]\n  20 -> 24 [size =\"49593344\"]\n  20 -> 25 [size =\"49593344\"]\n  20 -> 29 [size =\"49593344\"]\n  21 [size=\"69840213\", alpha=\"0.12\", expect_size=\"20952064\"] \n  22 [size=\"143581867\", alpha=\"0.16\", expect_size=\"43074560\"] \n  23 [size=\"56193707\", alpha=\"0.11\", expect_size=\"16858112\"] \n  24 [size=\"77516800\", alpha=\"0.06\", expect_size=\"23255040\"] \n  25 [size=\"45032107\", alpha=\"0.01\", expect_size=\"13509632\"] \n  26 [size=\"155876693\", alpha=\"0.17\", expect_size=\"46763008\"] \n  27 [size=\"128286720\", alpha=\"0.01\", expect_size=\"38486016\"] \n  28 [size=\"95143253\", alpha=\"0.18\", expect_size=\"28542976\"] \n  29 [size=\"162426880\", alpha=\"0.15\", expect_size=\"48728064\"] \n  30 [size=\"92651520\", alpha=\"0.14\", expect_size=\"27795456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98160640\", alpha=\"0.11\", expect_size=\"29448192\"] \n  1 -> 2 [size =\"29448192\"]\n  2 [size=\"136065707\", alpha=\"0.09\", expect_size=\"40819712\"] \n  2 -> 3 [size =\"40819712\"]\n  2 -> 4 [size =\"40819712\"]\n  3 [size=\"143687680\", alpha=\"0.04\", expect_size=\"43106304\"] \n  4 [size=\"20630187\", alpha=\"0.20\", expect_size=\"6189056\"] \n  4 -> 5 [size =\"6189056\"]\n  5 [size=\"52015787\", alpha=\"0.03\", expect_size=\"15604736\"] \n  5 -> 6 [size =\"15604736\"]\n  6 [size=\"109093547\", alpha=\"0.10\", expect_size=\"32728064\"] \n  6 -> 7 [size =\"32728064\"]\n  6 -> 8 [size =\"32728064\"]\n  7 [size=\"24695467\", alpha=\"0.19\", expect_size=\"7408640\"] \n  7 -> 9 [size =\"7408640\"]\n  8 [size=\"77240320\", alpha=\"0.12\", expect_size=\"23172096\"] \n  9 [size=\"78912853\", alpha=\"0.01\", expect_size=\"23673856\"] \n  9 -> 10 [size =\"23673856\"]\n  10 [size=\"169902080\", alpha=\"0.10\", expect_size=\"50970624\"] \n  10 -> 11 [size =\"50970624\"]\n  11 [size=\"107639467\", alpha=\"0.09\", expect_size=\"32291840\"] \n  11 -> 12 [size =\"32291840\"]\n  12 [size=\"33303893\", alpha=\"0.13\", expect_size=\"9991168\"] \n  12 -> 13 [size =\"9991168\"]\n  13 [size=\"102301013\", alpha=\"0.05\", expect_size=\"30690304\"] \n  13 -> 14 [size =\"30690304\"]\n  14 [size=\"130440533\", alpha=\"0.05\", expect_size=\"39132160\"] \n  14 -> 15 [size =\"39132160\"]\n  15 [size=\"130372267\", alpha=\"0.10\", expect_size=\"39111680\"] \n  15 -> 16 [size =\"39111680\"]\n  16 [size=\"153408853\", alpha=\"0.16\", expect_size=\"46022656\"] \n  16 -> 17 [size =\"46022656\"]\n  17 [size=\"75646293\", alpha=\"0.03\", expect_size=\"22693888\"] \n  17 -> 18 [size =\"22693888\"]\n  18 [size=\"66065067\", alpha=\"0.12\", expect_size=\"19819520\"] \n  18 -> 19 [size =\"19819520\"]\n  19 [size=\"158409387\", alpha=\"0.01\", expect_size=\"47522816\"] \n  19 -> 20 [size =\"47522816\"]\n  19 -> 21 [size =\"47522816\"]\n  20 [size=\"169263787\", alpha=\"0.10\", expect_size=\"50779136\"] \n  21 [size=\"89494187\", alpha=\"0.10\", expect_size=\"26848256\"] \n  21 -> 22 [size =\"26848256\"]\n  22 [size=\"161754453\", alpha=\"0.05\", expect_size=\"48526336\"] \n  22 -> 23 [size =\"48526336\"]\n  23 [size=\"104669867\", alpha=\"0.16\", expect_size=\"31400960\"] \n  23 -> 24 [size =\"31400960\"]\n  24 [size=\"141817173\", alpha=\"0.08\", expect_size=\"42545152\"] \n  24 -> 25 [size =\"42545152\"]\n  24 -> 26 [size =\"42545152\"]\n  25 [size=\"24671573\", alpha=\"0.04\", expect_size=\"7401472\"] \n  26 [size=\"104270507\", alpha=\"0.11\", expect_size=\"31281152\"] \n  26 -> 27 [size =\"31281152\"]\n  27 [size=\"69556907\", alpha=\"0.19\", expect_size=\"20867072\"] \n  27 -> 28 [size =\"20867072\"]\n  28 [size=\"90678613\", alpha=\"0.15\", expect_size=\"27203584\"] \n  28 -> 29 [size =\"27203584\"]\n  28 -> 30 [size =\"27203584\"]\n  29 [size=\"24504320\", alpha=\"0.19\", expect_size=\"7351296\"] \n  30 [size=\"30702933\", alpha=\"0.02\", expect_size=\"9210880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112714240\", alpha=\"0.06\", expect_size=\"45085696\"] \n  1 -> 19 [size =\"45085696\"]\n  1 -> 21 [size =\"45085696\"]\n  1 -> 28 [size =\"45085696\"]\n  1 -> 29 [size =\"45085696\"]\n  2 [size=\"102876160\", alpha=\"0.16\", expect_size=\"41150464\"] \n  2 -> 18 [size =\"41150464\"]\n  2 -> 22 [size =\"41150464\"]\n  2 -> 23 [size =\"41150464\"]\n  2 -> 30 [size =\"41150464\"]\n  3 [size=\"102336000\", alpha=\"0.01\", expect_size=\"40934400\"] \n  3 -> 18 [size =\"40934400\"]\n  3 -> 23 [size =\"40934400\"]\n  3 -> 27 [size =\"40934400\"]\n  4 [size=\"93468160\", alpha=\"0.14\", expect_size=\"37387264\"] \n  4 -> 25 [size =\"37387264\"]\n  4 -> 27 [size =\"37387264\"]\n  5 [size=\"121018880\", alpha=\"0.09\", expect_size=\"48407552\"] \n  5 -> 23 [size =\"48407552\"]\n  5 -> 27 [size =\"48407552\"]\n  5 -> 28 [size =\"48407552\"]\n  6 [size=\"33684480\", alpha=\"0.17\", expect_size=\"13473792\"] \n  6 -> 17 [size =\"13473792\"]\n  6 -> 19 [size =\"13473792\"]\n  6 -> 21 [size =\"13473792\"]\n  6 -> 24 [size =\"13473792\"]\n  6 -> 27 [size =\"13473792\"]\n  6 -> 28 [size =\"13473792\"]\n  7 [size=\"86750720\", alpha=\"0.09\", expect_size=\"34700288\"] \n  7 -> 17 [size =\"34700288\"]\n  7 -> 18 [size =\"34700288\"]\n  7 -> 21 [size =\"34700288\"]\n  7 -> 23 [size =\"34700288\"]\n  7 -> 28 [size =\"34700288\"]\n  8 [size=\"32391680\", alpha=\"0.19\", expect_size=\"12956672\"] \n  8 -> 17 [size =\"12956672\"]\n  8 -> 20 [size =\"12956672\"]\n  8 -> 23 [size =\"12956672\"]\n  8 -> 25 [size =\"12956672\"]\n  8 -> 28 [size =\"12956672\"]\n  9 [size=\"58316800\", alpha=\"0.19\", expect_size=\"23326720\"] \n  9 -> 22 [size =\"23326720\"]\n  9 -> 23 [size =\"23326720\"]\n  9 -> 25 [size =\"23326720\"]\n  9 -> 27 [size =\"23326720\"]\n  10 [size=\"48757760\", alpha=\"0.04\", expect_size=\"19503104\"] \n  10 -> 21 [size =\"19503104\"]\n  10 -> 23 [size =\"19503104\"]\n  10 -> 30 [size =\"19503104\"]\n  11 [size=\"18946560\", alpha=\"0.01\", expect_size=\"7578624\"] \n  11 -> 21 [size =\"7578624\"]\n  11 -> 22 [size =\"7578624\"]\n  11 -> 24 [size =\"7578624\"]\n  11 -> 28 [size =\"7578624\"]\n  12 [size=\"52881920\", alpha=\"0.10\", expect_size=\"21152768\"] \n  12 -> 21 [size =\"21152768\"]\n  12 -> 24 [size =\"21152768\"]\n  12 -> 25 [size =\"21152768\"]\n  13 [size=\"31831040\", alpha=\"0.10\", expect_size=\"12732416\"] \n  13 -> 21 [size =\"12732416\"]\n  13 -> 23 [size =\"12732416\"]\n  13 -> 24 [size =\"12732416\"]\n  13 -> 28 [size =\"12732416\"]\n  13 -> 29 [size =\"12732416\"]\n  14 [size=\"36651520\", alpha=\"0.06\", expect_size=\"14660608\"] \n  14 -> 17 [size =\"14660608\"]\n  14 -> 19 [size =\"14660608\"]\n  14 -> 21 [size =\"14660608\"]\n  14 -> 23 [size =\"14660608\"]\n  14 -> 24 [size =\"14660608\"]\n  14 -> 28 [size =\"14660608\"]\n  14 -> 29 [size =\"14660608\"]\n  14 -> 30 [size =\"14660608\"]\n  15 [size=\"117447680\", alpha=\"0.01\", expect_size=\"46979072\"] \n  15 -> 20 [size =\"46979072\"]\n  15 -> 21 [size =\"46979072\"]\n  15 -> 24 [size =\"46979072\"]\n  15 -> 26 [size =\"46979072\"]\n  15 -> 28 [size =\"46979072\"]\n  16 [size=\"52881920\", alpha=\"0.18\", expect_size=\"21152768\"] \n  16 -> 20 [size =\"21152768\"]\n  16 -> 21 [size =\"21152768\"]\n  16 -> 22 [size =\"21152768\"]\n  16 -> 28 [size =\"21152768\"]\n  16 -> 29 [size =\"21152768\"]\n  16 -> 30 [size =\"21152768\"]\n  17 [size=\"33799680\", alpha=\"0.12\", expect_size=\"13519872\"] \n  18 [size=\"84096000\", alpha=\"0.13\", expect_size=\"33638400\"] \n  19 [size=\"80632320\", alpha=\"0.02\", expect_size=\"32252928\"] \n  20 [size=\"73290240\", alpha=\"0.05\", expect_size=\"29316096\"] \n  21 [size=\"97175040\", alpha=\"0.05\", expect_size=\"38870016\"] \n  22 [size=\"104212480\", alpha=\"0.01\", expect_size=\"41684992\"] \n  23 [size=\"42908160\", alpha=\"0.11\", expect_size=\"17163264\"] \n  24 [size=\"103239680\", alpha=\"0.15\", expect_size=\"41295872\"] \n  25 [size=\"17830400\", alpha=\"0.18\", expect_size=\"7132160\"] \n  26 [size=\"21071360\", alpha=\"0.04\", expect_size=\"8428544\"] \n  27 [size=\"129868800\", alpha=\"0.02\", expect_size=\"51947520\"] \n  28 [size=\"83450880\", alpha=\"0.04\", expect_size=\"33380352\"] \n  29 [size=\"44108800\", alpha=\"0.13\", expect_size=\"17643520\"] \n  30 [size=\"53637120\", alpha=\"0.09\", expect_size=\"21454848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71929856\", alpha=\"0.03\", expect_size=\"35964928\"] \n  2 [size=\"95995904\", alpha=\"0.14\", expect_size=\"47997952\"] \n  2 -> 14 [size =\"47997952\"]\n  3 [size=\"15515648\", alpha=\"0.11\", expect_size=\"7757824\"] \n  3 -> 12 [size =\"7757824\"]\n  3 -> 18 [size =\"7757824\"]\n  4 [size=\"36984832\", alpha=\"0.13\", expect_size=\"18492416\"] \n  4 -> 11 [size =\"18492416\"]\n  4 -> 12 [size =\"18492416\"]\n  4 -> 13 [size =\"18492416\"]\n  4 -> 15 [size =\"18492416\"]\n  4 -> 17 [size =\"18492416\"]\n  5 [size=\"39438336\", alpha=\"0.15\", expect_size=\"19719168\"] \n  6 [size=\"24750080\", alpha=\"0.16\", expect_size=\"12375040\"] \n  6 -> 11 [size =\"12375040\"]\n  7 [size=\"40613888\", alpha=\"0.00\", expect_size=\"20306944\"] \n  7 -> 18 [size =\"20306944\"]\n  8 [size=\"96753664\", alpha=\"0.16\", expect_size=\"48376832\"] \n  8 -> 14 [size =\"48376832\"]\n  8 -> 19 [size =\"48376832\"]\n  9 [size=\"67563520\", alpha=\"0.18\", expect_size=\"33781760\"] \n  9 -> 11 [size =\"33781760\"]\n  9 -> 12 [size =\"33781760\"]\n  9 -> 13 [size =\"33781760\"]\n  9 -> 18 [size =\"33781760\"]\n  10 [size=\"65486848\", alpha=\"0.16\", expect_size=\"32743424\"] \n  10 -> 16 [size =\"32743424\"]\n  10 -> 18 [size =\"32743424\"]\n  11 [size=\"17659904\", alpha=\"0.00\", expect_size=\"8829952\"] \n  11 -> 20 [size =\"8829952\"]\n  11 -> 21 [size =\"8829952\"]\n  11 -> 24 [size =\"8829952\"]\n  11 -> 25 [size =\"8829952\"]\n  11 -> 26 [size =\"8829952\"]\n  11 -> 28 [size =\"8829952\"]\n  12 [size=\"30654464\", alpha=\"0.18\", expect_size=\"15327232\"] \n  12 -> 20 [size =\"15327232\"]\n  12 -> 21 [size =\"15327232\"]\n  12 -> 26 [size =\"15327232\"]\n  13 [size=\"96186368\", alpha=\"0.08\", expect_size=\"48093184\"] \n  13 -> 21 [size =\"48093184\"]\n  13 -> 24 [size =\"48093184\"]\n  13 -> 27 [size =\"48093184\"]\n  13 -> 28 [size =\"48093184\"]\n  13 -> 29 [size =\"48093184\"]\n  14 [size=\"54659072\", alpha=\"0.15\", expect_size=\"27329536\"] \n  14 -> 21 [size =\"27329536\"]\n  14 -> 23 [size =\"27329536\"]\n  14 -> 27 [size =\"27329536\"]\n  14 -> 28 [size =\"27329536\"]\n  14 -> 29 [size =\"27329536\"]\n  15 [size=\"22767616\", alpha=\"0.09\", expect_size=\"11383808\"] \n  15 -> 21 [size =\"11383808\"]\n  15 -> 28 [size =\"11383808\"]\n  16 [size=\"95522816\", alpha=\"0.14\", expect_size=\"47761408\"] \n  16 -> 27 [size =\"47761408\"]\n  16 -> 28 [size =\"47761408\"]\n  17 [size=\"74788864\", alpha=\"0.02\", expect_size=\"37394432\"] \n  17 -> 20 [size =\"37394432\"]\n  17 -> 21 [size =\"37394432\"]\n  17 -> 24 [size =\"37394432\"]\n  17 -> 25 [size =\"37394432\"]\n  17 -> 27 [size =\"37394432\"]\n  18 [size=\"75202560\", alpha=\"0.18\", expect_size=\"37601280\"] \n  18 -> 20 [size =\"37601280\"]\n  18 -> 24 [size =\"37601280\"]\n  18 -> 25 [size =\"37601280\"]\n  18 -> 25 [size =\"37601280\"]\n  18 -> 26 [size =\"37601280\"]\n  19 [size=\"55148544\", alpha=\"0.06\", expect_size=\"27574272\"] \n  19 -> 22 [size =\"27574272\"]\n  19 -> 24 [size =\"27574272\"]\n  19 -> 27 [size =\"27574272\"]\n  19 -> 28 [size =\"27574272\"]\n  20 [size=\"43483136\", alpha=\"0.16\", expect_size=\"21741568\"] \n  20 -> 30 [size =\"21741568\"]\n  21 [size=\"26658816\", alpha=\"0.18\", expect_size=\"13329408\"] \n  22 [size=\"28465152\", alpha=\"0.19\", expect_size=\"14232576\"] \n  23 [size=\"17172480\", alpha=\"0.01\", expect_size=\"8586240\"] \n  24 [size=\"52842496\", alpha=\"0.08\", expect_size=\"26421248\"] \n  25 [size=\"30871552\", alpha=\"0.02\", expect_size=\"15435776\"] \n  25 -> 30 [size =\"15435776\"]\n  26 [size=\"74256384\", alpha=\"0.18\", expect_size=\"37128192\"] \n  27 [size=\"47482880\", alpha=\"0.01\", expect_size=\"23741440\"] \n  28 [size=\"57602048\", alpha=\"0.02\", expect_size=\"28801024\"] \n  29 [size=\"47454208\", alpha=\"0.16\", expect_size=\"23727104\"] \n  30 [size=\"75907072\", alpha=\"0.01\", expect_size=\"37953536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48080896\", alpha=\"0.03\", expect_size=\"24040448\"] \n  1 -> 3 [size =\"24040448\"]\n  2 [size=\"102504448\", alpha=\"0.04\", expect_size=\"51252224\"] \n  2 -> 3 [size =\"51252224\"]\n  3 [size=\"28626944\", alpha=\"0.01\", expect_size=\"14313472\"] \n  3 -> 4 [size =\"14313472\"]\n  4 [size=\"69437440\", alpha=\"0.09\", expect_size=\"34718720\"] \n  4 -> 5 [size =\"34718720\"]\n  5 [size=\"74485760\", alpha=\"0.09\", expect_size=\"37242880\"] \n  5 -> 6 [size =\"37242880\"]\n  6 [size=\"40736768\", alpha=\"0.09\", expect_size=\"20368384\"] \n  6 -> 7 [size =\"20368384\"]\n  6 -> 8 [size =\"20368384\"]\n  7 [size=\"85657600\", alpha=\"0.11\", expect_size=\"42828800\"] \n  7 -> 9 [size =\"42828800\"]\n  7 -> 10 [size =\"42828800\"]\n  8 [size=\"22036480\", alpha=\"0.19\", expect_size=\"11018240\"] \n  8 -> 9 [size =\"11018240\"]\n  8 -> 10 [size =\"11018240\"]\n  9 [size=\"57663488\", alpha=\"0.12\", expect_size=\"28831744\"] \n  10 [size=\"31895552\", alpha=\"0.02\", expect_size=\"15947776\"] \n  10 -> 11 [size =\"15947776\"]\n  10 -> 12 [size =\"15947776\"]\n  11 [size=\"23220224\", alpha=\"0.06\", expect_size=\"11610112\"] \n  11 -> 13 [size =\"11610112\"]\n  12 [size=\"36528128\", alpha=\"0.04\", expect_size=\"18264064\"] \n  12 -> 13 [size =\"18264064\"]\n  13 [size=\"56702976\", alpha=\"0.10\", expect_size=\"28351488\"] \n  13 -> 14 [size =\"28351488\"]\n  13 -> 15 [size =\"28351488\"]\n  14 [size=\"61159424\", alpha=\"0.10\", expect_size=\"30579712\"] \n  14 -> 16 [size =\"30579712\"]\n  15 [size=\"103114752\", alpha=\"0.13\", expect_size=\"51557376\"] \n  16 [size=\"52697088\", alpha=\"0.12\", expect_size=\"26348544\"] \n  16 -> 17 [size =\"26348544\"]\n  17 [size=\"96522240\", alpha=\"0.10\", expect_size=\"48261120\"] \n  17 -> 18 [size =\"48261120\"]\n  17 -> 19 [size =\"48261120\"]\n  18 [size=\"53073920\", alpha=\"0.04\", expect_size=\"26536960\"] \n  19 [size=\"46237696\", alpha=\"0.11\", expect_size=\"23118848\"] \n  19 -> 20 [size =\"23118848\"]\n  20 [size=\"103055360\", alpha=\"0.01\", expect_size=\"51527680\"] \n  20 -> 21 [size =\"51527680\"]\n  21 [size=\"16465920\", alpha=\"0.18\", expect_size=\"8232960\"] \n  21 -> 22 [size =\"8232960\"]\n  21 -> 23 [size =\"8232960\"]\n  22 [size=\"46116864\", alpha=\"0.16\", expect_size=\"23058432\"] \n  22 -> 24 [size =\"23058432\"]\n  22 -> 25 [size =\"23058432\"]\n  23 [size=\"64559104\", alpha=\"0.17\", expect_size=\"32279552\"] \n  23 -> 25 [size =\"32279552\"]\n  24 [size=\"16977920\", alpha=\"0.10\", expect_size=\"8488960\"] \n  24 -> 26 [size =\"8488960\"]\n  25 [size=\"63537152\", alpha=\"0.17\", expect_size=\"31768576\"] \n  25 -> 26 [size =\"31768576\"]\n  25 -> 27 [size =\"31768576\"]\n  26 [size=\"28362752\", alpha=\"0.11\", expect_size=\"14181376\"] \n  27 [size=\"87306240\", alpha=\"0.00\", expect_size=\"43653120\"] \n  27 -> 28 [size =\"43653120\"]\n  28 [size=\"39184384\", alpha=\"0.12\", expect_size=\"19592192\"] \n  28 -> 29 [size =\"19592192\"]\n  29 [size=\"60278784\", alpha=\"0.14\", expect_size=\"30139392\"] \n  29 -> 30 [size =\"30139392\"]\n  30 [size=\"17328128\", alpha=\"0.00\", expect_size=\"8664064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31697920\", alpha=\"0.08\", expect_size=\"12679168\"] \n  1 -> 22 [size =\"12679168\"]\n  1 -> 23 [size =\"12679168\"]\n  1 -> 27 [size =\"12679168\"]\n  1 -> 30 [size =\"12679168\"]\n  2 [size=\"22858240\", alpha=\"0.02\", expect_size=\"9143296\"] \n  2 -> 23 [size =\"9143296\"]\n  2 -> 26 [size =\"9143296\"]\n  3 [size=\"23183360\", alpha=\"0.12\", expect_size=\"9273344\"] \n  3 -> 21 [size =\"9273344\"]\n  3 -> 23 [size =\"9273344\"]\n  3 -> 29 [size =\"9273344\"]\n  4 [size=\"30551040\", alpha=\"0.20\", expect_size=\"12220416\"] \n  4 -> 30 [size =\"12220416\"]\n  5 [size=\"114403840\", alpha=\"0.11\", expect_size=\"45761536\"] \n  5 -> 21 [size =\"45761536\"]\n  6 [size=\"101957120\", alpha=\"0.16\", expect_size=\"40782848\"] \n  6 -> 24 [size =\"40782848\"]\n  6 -> 25 [size =\"40782848\"]\n  6 -> 26 [size =\"40782848\"]\n  6 -> 28 [size =\"40782848\"]\n  6 -> 30 [size =\"40782848\"]\n  7 [size=\"78016000\", alpha=\"0.03\", expect_size=\"31206400\"] \n  7 -> 22 [size =\"31206400\"]\n  7 -> 23 [size =\"31206400\"]\n  7 -> 26 [size =\"31206400\"]\n  7 -> 30 [size =\"31206400\"]\n  8 [size=\"116958720\", alpha=\"0.17\", expect_size=\"46783488\"] \n  8 -> 26 [size =\"46783488\"]\n  8 -> 30 [size =\"46783488\"]\n  9 [size=\"28451840\", alpha=\"0.20\", expect_size=\"11380736\"] \n  9 -> 21 [size =\"11380736\"]\n  9 -> 26 [size =\"11380736\"]\n  9 -> 27 [size =\"11380736\"]\n  9 -> 28 [size =\"11380736\"]\n  9 -> 30 [size =\"11380736\"]\n  10 [size=\"33303040\", alpha=\"0.08\", expect_size=\"13321216\"] \n  10 -> 21 [size =\"13321216\"]\n  10 -> 22 [size =\"13321216\"]\n  10 -> 23 [size =\"13321216\"]\n  10 -> 26 [size =\"13321216\"]\n  11 [size=\"59612160\", alpha=\"0.03\", expect_size=\"23844864\"] \n  11 -> 21 [size =\"23844864\"]\n  11 -> 22 [size =\"23844864\"]\n  11 -> 23 [size =\"23844864\"]\n  11 -> 30 [size =\"23844864\"]\n  12 [size=\"105464320\", alpha=\"0.05\", expect_size=\"42185728\"] \n  12 -> 21 [size =\"42185728\"]\n  13 [size=\"115845120\", alpha=\"0.06\", expect_size=\"46338048\"] \n  13 -> 23 [size =\"46338048\"]\n  13 -> 26 [size =\"46338048\"]\n  13 -> 27 [size =\"46338048\"]\n  13 -> 30 [size =\"46338048\"]\n  14 [size=\"67875840\", alpha=\"0.19\", expect_size=\"27150336\"] \n  14 -> 23 [size =\"27150336\"]\n  15 [size=\"66767360\", alpha=\"0.19\", expect_size=\"26706944\"] \n  15 -> 22 [size =\"26706944\"]\n  15 -> 23 [size =\"26706944\"]\n  15 -> 30 [size =\"26706944\"]\n  16 [size=\"130065920\", alpha=\"0.00\", expect_size=\"52026368\"] \n  16 -> 22 [size =\"52026368\"]\n  16 -> 23 [size =\"52026368\"]\n  16 -> 24 [size =\"52026368\"]\n  16 -> 30 [size =\"52026368\"]\n  17 [size=\"106795520\", alpha=\"0.00\", expect_size=\"42718208\"] \n  17 -> 21 [size =\"42718208\"]\n  17 -> 22 [size =\"42718208\"]\n  17 -> 25 [size =\"42718208\"]\n  17 -> 26 [size =\"42718208\"]\n  17 -> 27 [size =\"42718208\"]\n  18 [size=\"122808320\", alpha=\"0.19\", expect_size=\"49123328\"] \n  18 -> 22 [size =\"49123328\"]\n  18 -> 23 [size =\"49123328\"]\n  19 [size=\"103677440\", alpha=\"0.11\", expect_size=\"41470976\"] \n  19 -> 22 [size =\"41470976\"]\n  19 -> 27 [size =\"41470976\"]\n  20 [size=\"101660160\", alpha=\"0.18\", expect_size=\"40664064\"] \n  20 -> 27 [size =\"40664064\"]\n  20 -> 27 [size =\"40664064\"]\n  20 -> 29 [size =\"40664064\"]\n  21 [size=\"30417920\", alpha=\"0.08\", expect_size=\"12167168\"] \n  22 [size=\"50677760\", alpha=\"0.20\", expect_size=\"20271104\"] \n  23 [size=\"80878080\", alpha=\"0.13\", expect_size=\"32351232\"] \n  24 [size=\"115330560\", alpha=\"0.10\", expect_size=\"46132224\"] \n  25 [size=\"110709760\", alpha=\"0.03\", expect_size=\"44283904\"] \n  26 [size=\"106670080\", alpha=\"0.12\", expect_size=\"42668032\"] \n  27 [size=\"108421120\", alpha=\"0.12\", expect_size=\"43368448\"] \n  28 [size=\"110602240\", alpha=\"0.09\", expect_size=\"44240896\"] \n  29 [size=\"104578560\", alpha=\"0.09\", expect_size=\"41831424\"] \n  30 [size=\"48842240\", alpha=\"0.12\", expect_size=\"19536896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87422976\", alpha=\"0.06\", expect_size=\"43711488\"] \n  1 -> 2 [size =\"43711488\"]\n  2 [size=\"27793408\", alpha=\"0.09\", expect_size=\"13896704\"] \n  2 -> 3 [size =\"13896704\"]\n  3 [size=\"71768064\", alpha=\"0.14\", expect_size=\"35884032\"] \n  3 -> 4 [size =\"35884032\"]\n  4 [size=\"53600256\", alpha=\"0.17\", expect_size=\"26800128\"] \n  4 -> 5 [size =\"26800128\"]\n  5 [size=\"81506304\", alpha=\"0.01\", expect_size=\"40753152\"] \n  5 -> 6 [size =\"40753152\"]\n  6 [size=\"65046528\", alpha=\"0.16\", expect_size=\"32523264\"] \n  6 -> 7 [size =\"32523264\"]\n  7 [size=\"47206400\", alpha=\"0.15\", expect_size=\"23603200\"] \n  7 -> 8 [size =\"23603200\"]\n  8 [size=\"32167936\", alpha=\"0.04\", expect_size=\"16083968\"] \n  8 -> 9 [size =\"16083968\"]\n  9 [size=\"19542016\", alpha=\"0.09\", expect_size=\"9771008\"] \n  9 -> 10 [size =\"9771008\"]\n  10 [size=\"16801792\", alpha=\"0.16\", expect_size=\"8400896\"] \n  10 -> 11 [size =\"8400896\"]\n  11 [size=\"104464384\", alpha=\"0.10\", expect_size=\"52232192\"] \n  11 -> 12 [size =\"52232192\"]\n  12 [size=\"38864896\", alpha=\"0.05\", expect_size=\"19432448\"] \n  12 -> 13 [size =\"19432448\"]\n  13 [size=\"79482880\", alpha=\"0.11\", expect_size=\"39741440\"] \n  13 -> 14 [size =\"39741440\"]\n  14 [size=\"51116032\", alpha=\"0.04\", expect_size=\"25558016\"] \n  14 -> 15 [size =\"25558016\"]\n  15 [size=\"35229696\", alpha=\"0.03\", expect_size=\"17614848\"] \n  15 -> 16 [size =\"17614848\"]\n  16 [size=\"38111232\", alpha=\"0.19\", expect_size=\"19055616\"] \n  16 -> 17 [size =\"19055616\"]\n  17 [size=\"18763776\", alpha=\"0.01\", expect_size=\"9381888\"] \n  17 -> 18 [size =\"9381888\"]\n  18 [size=\"89229312\", alpha=\"0.17\", expect_size=\"44614656\"] \n  18 -> 19 [size =\"44614656\"]\n  19 [size=\"13316096\", alpha=\"0.00\", expect_size=\"6658048\"] \n  19 -> 20 [size =\"6658048\"]\n  20 [size=\"56043520\", alpha=\"0.11\", expect_size=\"28021760\"] \n  20 -> 21 [size =\"28021760\"]\n  21 [size=\"37933056\", alpha=\"0.18\", expect_size=\"18966528\"] \n  21 -> 22 [size =\"18966528\"]\n  22 [size=\"86085632\", alpha=\"0.08\", expect_size=\"43042816\"] \n  22 -> 23 [size =\"43042816\"]\n  23 [size=\"17051648\", alpha=\"0.12\", expect_size=\"8525824\"] \n  23 -> 24 [size =\"8525824\"]\n  24 [size=\"69435392\", alpha=\"0.05\", expect_size=\"34717696\"] \n  24 -> 25 [size =\"34717696\"]\n  25 [size=\"89851904\", alpha=\"0.13\", expect_size=\"44925952\"] \n  25 -> 26 [size =\"44925952\"]\n  26 [size=\"104142848\", alpha=\"0.12\", expect_size=\"52071424\"] \n  26 -> 27 [size =\"52071424\"]\n  27 [size=\"97513472\", alpha=\"0.19\", expect_size=\"48756736\"] \n  27 -> 28 [size =\"48756736\"]\n  28 [size=\"100339712\", alpha=\"0.11\", expect_size=\"50169856\"] \n  28 -> 29 [size =\"50169856\"]\n  29 [size=\"86245376\", alpha=\"0.04\", expect_size=\"43122688\"] \n  29 -> 30 [size =\"43122688\"]\n  30 [size=\"88145920\", alpha=\"0.19\", expect_size=\"44072960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83511296\", alpha=\"0.03\", expect_size=\"41755648\"] \n  1 -> 2 [size =\"41755648\"]\n  1 -> 3 [size =\"41755648\"]\n  2 [size=\"16656384\", alpha=\"0.08\", expect_size=\"8328192\"] \n  2 -> 4 [size =\"8328192\"]\n  3 [size=\"84891648\", alpha=\"0.10\", expect_size=\"42445824\"] \n  4 [size=\"78000128\", alpha=\"0.10\", expect_size=\"39000064\"] \n  4 -> 5 [size =\"39000064\"]\n  5 [size=\"23410688\", alpha=\"0.03\", expect_size=\"11705344\"] \n  5 -> 6 [size =\"11705344\"]\n  5 -> 7 [size =\"11705344\"]\n  6 [size=\"79767552\", alpha=\"0.15\", expect_size=\"39883776\"] \n  6 -> 8 [size =\"39883776\"]\n  6 -> 9 [size =\"39883776\"]\n  7 [size=\"17065984\", alpha=\"0.19\", expect_size=\"8532992\"] \n  7 -> 9 [size =\"8532992\"]\n  8 [size=\"34725888\", alpha=\"0.05\", expect_size=\"17362944\"] \n  8 -> 10 [size =\"17362944\"]\n  9 [size=\"12171264\", alpha=\"0.08\", expect_size=\"6085632\"] \n  10 [size=\"96077824\", alpha=\"0.06\", expect_size=\"48038912\"] \n  10 -> 11 [size =\"48038912\"]\n  10 -> 12 [size =\"48038912\"]\n  11 [size=\"14356480\", alpha=\"0.16\", expect_size=\"7178240\"] \n  12 [size=\"29026304\", alpha=\"0.06\", expect_size=\"14513152\"] \n  12 -> 13 [size =\"14513152\"]\n  13 [size=\"64706560\", alpha=\"0.00\", expect_size=\"32353280\"] \n  13 -> 14 [size =\"32353280\"]\n  14 [size=\"19548160\", alpha=\"0.03\", expect_size=\"9774080\"] \n  14 -> 15 [size =\"9774080\"]\n  15 [size=\"66932736\", alpha=\"0.09\", expect_size=\"33466368\"] \n  15 -> 16 [size =\"33466368\"]\n  16 [size=\"80834560\", alpha=\"0.00\", expect_size=\"40417280\"] \n  16 -> 17 [size =\"40417280\"]\n  16 -> 18 [size =\"40417280\"]\n  17 [size=\"55674880\", alpha=\"0.17\", expect_size=\"27837440\"] \n  17 -> 19 [size =\"27837440\"]\n  18 [size=\"52889600\", alpha=\"0.10\", expect_size=\"26444800\"] \n  18 -> 19 [size =\"26444800\"]\n  19 [size=\"75929600\", alpha=\"0.06\", expect_size=\"37964800\"] \n  19 -> 20 [size =\"37964800\"]\n  19 -> 21 [size =\"37964800\"]\n  20 [size=\"20273152\", alpha=\"0.19\", expect_size=\"10136576\"] \n  20 -> 22 [size =\"10136576\"]\n  21 [size=\"46583808\", alpha=\"0.08\", expect_size=\"23291904\"] \n  21 -> 22 [size =\"23291904\"]\n  22 [size=\"25710592\", alpha=\"0.19\", expect_size=\"12855296\"] \n  22 -> 23 [size =\"12855296\"]\n  23 [size=\"55504896\", alpha=\"0.05\", expect_size=\"27752448\"] \n  23 -> 24 [size =\"27752448\"]\n  23 -> 25 [size =\"27752448\"]\n  24 [size=\"55668736\", alpha=\"0.05\", expect_size=\"27834368\"] \n  24 -> 26 [size =\"27834368\"]\n  24 -> 27 [size =\"27834368\"]\n  25 [size=\"70100992\", alpha=\"0.08\", expect_size=\"35050496\"] \n  26 [size=\"15904768\", alpha=\"0.06\", expect_size=\"7952384\"] \n  27 [size=\"16175104\", alpha=\"0.05\", expect_size=\"8087552\"] \n  27 -> 28 [size =\"8087552\"]\n  27 -> 29 [size =\"8087552\"]\n  28 [size=\"96421888\", alpha=\"0.09\", expect_size=\"48210944\"] \n  28 -> 30 [size =\"48210944\"]\n  29 [size=\"49772544\", alpha=\"0.14\", expect_size=\"24886272\"] \n  29 -> 30 [size =\"24886272\"]\n  30 [size=\"77764608\", alpha=\"0.17\", expect_size=\"38882304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156685653\", alpha=\"0.16\", expect_size=\"47005696\"] \n  1 -> 26 [size =\"47005696\"]\n  1 -> 27 [size =\"47005696\"]\n  1 -> 28 [size =\"47005696\"]\n  1 -> 29 [size =\"47005696\"]\n  2 [size=\"29184000\", alpha=\"0.15\", expect_size=\"8755200\"] \n  2 -> 26 [size =\"8755200\"]\n  2 -> 29 [size =\"8755200\"]\n  3 [size=\"149606400\", alpha=\"0.14\", expect_size=\"44881920\"] \n  3 -> 25 [size =\"44881920\"]\n  4 [size=\"34969600\", alpha=\"0.19\", expect_size=\"10490880\"] \n  4 -> 25 [size =\"10490880\"]\n  4 -> 29 [size =\"10490880\"]\n  5 [size=\"63194453\", alpha=\"0.14\", expect_size=\"18958336\"] \n  5 -> 29 [size =\"18958336\"]\n  5 -> 30 [size =\"18958336\"]\n  6 [size=\"118234453\", alpha=\"0.15\", expect_size=\"35470336\"] \n  6 -> 28 [size =\"35470336\"]\n  7 [size=\"129498453\", alpha=\"0.19\", expect_size=\"38849536\"] \n  7 -> 24 [size =\"38849536\"]\n  7 -> 27 [size =\"38849536\"]\n  8 [size=\"132805973\", alpha=\"0.03\", expect_size=\"39841792\"] \n  8 -> 28 [size =\"39841792\"]\n  8 -> 30 [size =\"39841792\"]\n  9 [size=\"22695253\", alpha=\"0.07\", expect_size=\"6808576\"] \n  9 -> 26 [size =\"6808576\"]\n  9 -> 27 [size =\"6808576\"]\n  9 -> 28 [size =\"6808576\"]\n  10 [size=\"19653973\", alpha=\"0.19\", expect_size=\"5896192\"] \n  10 -> 26 [size =\"5896192\"]\n  10 -> 27 [size =\"5896192\"]\n  10 -> 28 [size =\"5896192\"]\n  11 [size=\"89501013\", alpha=\"0.13\", expect_size=\"26850304\"] \n  11 -> 25 [size =\"26850304\"]\n  12 [size=\"57879893\", alpha=\"0.19\", expect_size=\"17363968\"] \n  12 -> 26 [size =\"17363968\"]\n  13 [size=\"18244267\", alpha=\"0.16\", expect_size=\"5473280\"] \n  13 -> 24 [size =\"5473280\"]\n  13 -> 29 [size =\"5473280\"]\n  14 [size=\"125876907\", alpha=\"0.01\", expect_size=\"37763072\"] \n  14 -> 25 [size =\"37763072\"]\n  14 -> 29 [size =\"37763072\"]\n  15 [size=\"120125440\", alpha=\"0.14\", expect_size=\"36037632\"] \n  15 -> 25 [size =\"36037632\"]\n  15 -> 29 [size =\"36037632\"]\n  15 -> 30 [size =\"36037632\"]\n  16 [size=\"69693440\", alpha=\"0.00\", expect_size=\"20908032\"] \n  16 -> 29 [size =\"20908032\"]\n  16 -> 30 [size =\"20908032\"]\n  16 -> 30 [size =\"20908032\"]\n  17 [size=\"33416533\", alpha=\"0.15\", expect_size=\"10024960\"] \n  17 -> 27 [size =\"10024960\"]\n  17 -> 29 [size =\"10024960\"]\n  18 [size=\"29207893\", alpha=\"0.16\", expect_size=\"8762368\"] \n  18 -> 26 [size =\"8762368\"]\n  18 -> 27 [size =\"8762368\"]\n  18 -> 29 [size =\"8762368\"]\n  18 -> 30 [size =\"8762368\"]\n  19 [size=\"55350613\", alpha=\"0.03\", expect_size=\"16605184\"] \n  19 -> 26 [size =\"16605184\"]\n  19 -> 28 [size =\"16605184\"]\n  19 -> 30 [size =\"16605184\"]\n  19 -> 30 [size =\"16605184\"]\n  20 [size=\"107758933\", alpha=\"0.01\", expect_size=\"32327680\"] \n  20 -> 25 [size =\"32327680\"]\n  20 -> 26 [size =\"32327680\"]\n  20 -> 28 [size =\"32327680\"]\n  20 -> 30 [size =\"32327680\"]\n  21 [size=\"103823360\", alpha=\"0.17\", expect_size=\"31147008\"] \n  21 -> 25 [size =\"31147008\"]\n  21 -> 29 [size =\"31147008\"]\n  22 [size=\"46479360\", alpha=\"0.14\", expect_size=\"13943808\"] \n  22 -> 27 [size =\"13943808\"]\n  22 -> 29 [size =\"13943808\"]\n  22 -> 30 [size =\"13943808\"]\n  23 [size=\"42294613\", alpha=\"0.09\", expect_size=\"12688384\"] \n  23 -> 24 [size =\"12688384\"]\n  23 -> 26 [size =\"12688384\"]\n  23 -> 27 [size =\"12688384\"]\n  23 -> 28 [size =\"12688384\"]\n  23 -> 29 [size =\"12688384\"]\n  23 -> 30 [size =\"12688384\"]\n  24 [size=\"164498773\", alpha=\"0.05\", expect_size=\"49349632\"] \n  25 [size=\"174568107\", alpha=\"0.08\", expect_size=\"52370432\"] \n  26 [size=\"129508693\", alpha=\"0.03\", expect_size=\"38852608\"] \n  27 [size=\"131300693\", alpha=\"0.12\", expect_size=\"39390208\"] \n  28 [size=\"94361600\", alpha=\"0.16\", expect_size=\"28308480\"] \n  29 [size=\"59204267\", alpha=\"0.01\", expect_size=\"17761280\"] \n  30 [size=\"79967573\", alpha=\"0.06\", expect_size=\"23990272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35331413\", alpha=\"0.08\", expect_size=\"10599424\"] \n  1 -> 2 [size =\"10599424\"]\n  2 [size=\"111407787\", alpha=\"0.11\", expect_size=\"33422336\"] \n  2 -> 3 [size =\"33422336\"]\n  3 [size=\"34065067\", alpha=\"0.07\", expect_size=\"10219520\"] \n  3 -> 4 [size =\"10219520\"]\n  4 [size=\"103574187\", alpha=\"0.11\", expect_size=\"31072256\"] \n  4 -> 5 [size =\"31072256\"]\n  5 [size=\"91685547\", alpha=\"0.13\", expect_size=\"27505664\"] \n  5 -> 6 [size =\"27505664\"]\n  6 [size=\"132819627\", alpha=\"0.03\", expect_size=\"39845888\"] \n  6 -> 7 [size =\"39845888\"]\n  7 [size=\"157166933\", alpha=\"0.15\", expect_size=\"47150080\"] \n  7 -> 8 [size =\"47150080\"]\n  8 [size=\"132041387\", alpha=\"0.02\", expect_size=\"39612416\"] \n  8 -> 9 [size =\"39612416\"]\n  9 [size=\"46489600\", alpha=\"0.04\", expect_size=\"13946880\"] \n  9 -> 10 [size =\"13946880\"]\n  10 [size=\"35502080\", alpha=\"0.04\", expect_size=\"10650624\"] \n  10 -> 11 [size =\"10650624\"]\n  11 [size=\"132270080\", alpha=\"0.01\", expect_size=\"39681024\"] \n  11 -> 12 [size =\"39681024\"]\n  12 [size=\"34914987\", alpha=\"0.04\", expect_size=\"10474496\"] \n  12 -> 13 [size =\"10474496\"]\n  13 [size=\"120292693\", alpha=\"0.08\", expect_size=\"36087808\"] \n  13 -> 14 [size =\"36087808\"]\n  14 [size=\"21934080\", alpha=\"0.11\", expect_size=\"6580224\"] \n  14 -> 15 [size =\"6580224\"]\n  15 [size=\"111656960\", alpha=\"0.16\", expect_size=\"33497088\"] \n  15 -> 16 [size =\"33497088\"]\n  16 [size=\"53224107\", alpha=\"0.01\", expect_size=\"15967232\"] \n  16 -> 17 [size =\"15967232\"]\n  17 [size=\"78434987\", alpha=\"0.11\", expect_size=\"23530496\"] \n  17 -> 18 [size =\"23530496\"]\n  18 [size=\"37591040\", alpha=\"0.07\", expect_size=\"11277312\"] \n  18 -> 19 [size =\"11277312\"]\n  19 [size=\"53855573\", alpha=\"0.02\", expect_size=\"16156672\"] \n  19 -> 20 [size =\"16156672\"]\n  20 [size=\"86736213\", alpha=\"0.01\", expect_size=\"26020864\"] \n  20 -> 21 [size =\"26020864\"]\n  21 [size=\"118801067\", alpha=\"0.02\", expect_size=\"35640320\"] \n  21 -> 22 [size =\"35640320\"]\n  22 [size=\"126986240\", alpha=\"0.16\", expect_size=\"38095872\"] \n  22 -> 23 [size =\"38095872\"]\n  23 [size=\"157569707\", alpha=\"0.12\", expect_size=\"47270912\"] \n  23 -> 24 [size =\"47270912\"]\n  24 [size=\"61474133\", alpha=\"0.18\", expect_size=\"18442240\"] \n  24 -> 25 [size =\"18442240\"]\n  25 [size=\"147514027\", alpha=\"0.14\", expect_size=\"44254208\"] \n  25 -> 26 [size =\"44254208\"]\n  26 [size=\"113404587\", alpha=\"0.05\", expect_size=\"34021376\"] \n  26 -> 27 [size =\"34021376\"]\n  27 [size=\"125044053\", alpha=\"0.13\", expect_size=\"37513216\"] \n  27 -> 28 [size =\"37513216\"]\n  28 [size=\"51493547\", alpha=\"0.16\", expect_size=\"15448064\"] \n  28 -> 29 [size =\"15448064\"]\n  29 [size=\"103830187\", alpha=\"0.03\", expect_size=\"31149056\"] \n  29 -> 30 [size =\"31149056\"]\n  30 [size=\"116326400\", alpha=\"0.12\", expect_size=\"34897920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158679040\", alpha=\"0.09\", expect_size=\"47603712\"] \n  2 [size=\"124105387\", alpha=\"0.14\", expect_size=\"37231616\"] \n  2 -> 28 [size =\"37231616\"]\n  2 -> 30 [size =\"37231616\"]\n  3 [size=\"153818453\", alpha=\"0.15\", expect_size=\"46145536\"] \n  3 -> 28 [size =\"46145536\"]\n  3 -> 29 [size =\"46145536\"]\n  4 [size=\"162170880\", alpha=\"0.04\", expect_size=\"48651264\"] \n  4 -> 27 [size =\"48651264\"]\n  4 -> 28 [size =\"48651264\"]\n  4 -> 29 [size =\"48651264\"]\n  5 [size=\"56453120\", alpha=\"0.02\", expect_size=\"16935936\"] \n  5 -> 29 [size =\"16935936\"]\n  5 -> 30 [size =\"16935936\"]\n  6 [size=\"89958400\", alpha=\"0.11\", expect_size=\"26987520\"] \n  6 -> 29 [size =\"26987520\"]\n  6 -> 30 [size =\"26987520\"]\n  7 [size=\"107543893\", alpha=\"0.20\", expect_size=\"32263168\"] \n  7 -> 29 [size =\"32263168\"]\n  8 [size=\"109803520\", alpha=\"0.01\", expect_size=\"32941056\"] \n  8 -> 29 [size =\"32941056\"]\n  9 [size=\"108629333\", alpha=\"0.06\", expect_size=\"32588800\"] \n  10 [size=\"108653227\", alpha=\"0.04\", expect_size=\"32595968\"] \n  10 -> 28 [size =\"32595968\"]\n  11 [size=\"31307093\", alpha=\"0.20\", expect_size=\"9392128\"] \n  11 -> 29 [size =\"9392128\"]\n  12 [size=\"104840533\", alpha=\"0.02\", expect_size=\"31452160\"] \n  12 -> 28 [size =\"31452160\"]\n  12 -> 29 [size =\"31452160\"]\n  13 [size=\"60968960\", alpha=\"0.17\", expect_size=\"18290688\"] \n  13 -> 27 [size =\"18290688\"]\n  13 -> 29 [size =\"18290688\"]\n  14 [size=\"18343253\", alpha=\"0.13\", expect_size=\"5502976\"] \n  14 -> 27 [size =\"5502976\"]\n  14 -> 30 [size =\"5502976\"]\n  15 [size=\"52780373\", alpha=\"0.01\", expect_size=\"15834112\"] \n  15 -> 27 [size =\"15834112\"]\n  15 -> 30 [size =\"15834112\"]\n  16 [size=\"65867093\", alpha=\"0.17\", expect_size=\"19760128\"] \n  16 -> 27 [size =\"19760128\"]\n  16 -> 28 [size =\"19760128\"]\n  17 [size=\"156054187\", alpha=\"0.02\", expect_size=\"46816256\"] \n  17 -> 27 [size =\"46816256\"]\n  17 -> 28 [size =\"46816256\"]\n  18 [size=\"153067520\", alpha=\"0.15\", expect_size=\"45920256\"] \n  18 -> 28 [size =\"45920256\"]\n  18 -> 30 [size =\"45920256\"]\n  19 [size=\"161723733\", alpha=\"0.12\", expect_size=\"48517120\"] \n  19 -> 28 [size =\"48517120\"]\n  20 [size=\"49493333\", alpha=\"0.02\", expect_size=\"14848000\"] \n  20 -> 27 [size =\"14848000\"]\n  20 -> 28 [size =\"14848000\"]\n  20 -> 30 [size =\"14848000\"]\n  21 [size=\"83793920\", alpha=\"0.09\", expect_size=\"25138176\"] \n  21 -> 27 [size =\"25138176\"]\n  21 -> 29 [size =\"25138176\"]\n  22 [size=\"80124587\", alpha=\"0.11\", expect_size=\"24037376\"] \n  22 -> 27 [size =\"24037376\"]\n  22 -> 28 [size =\"24037376\"]\n  22 -> 29 [size =\"24037376\"]\n  23 [size=\"98525867\", alpha=\"0.09\", expect_size=\"29557760\"] \n  23 -> 27 [size =\"29557760\"]\n  23 -> 28 [size =\"29557760\"]\n  24 [size=\"73485653\", alpha=\"0.06\", expect_size=\"22045696\"] \n  24 -> 27 [size =\"22045696\"]\n  24 -> 28 [size =\"22045696\"]\n  25 [size=\"172728320\", alpha=\"0.08\", expect_size=\"51818496\"] \n  25 -> 27 [size =\"51818496\"]\n  25 -> 29 [size =\"51818496\"]\n  26 [size=\"27204267\", alpha=\"0.20\", expect_size=\"8161280\"] \n  26 -> 28 [size =\"8161280\"]\n  26 -> 29 [size =\"8161280\"]\n  26 -> 30 [size =\"8161280\"]\n  27 [size=\"158491307\", alpha=\"0.02\", expect_size=\"47547392\"] \n  28 [size=\"17773227\", alpha=\"0.17\", expect_size=\"5331968\"] \n  29 [size=\"137325227\", alpha=\"0.03\", expect_size=\"41197568\"] \n  30 [size=\"72567467\", alpha=\"0.00\", expect_size=\"21770240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35704832\", alpha=\"0.04\", expect_size=\"17852416\"] \n  1 -> 10 [size =\"17852416\"]\n  1 -> 11 [size =\"17852416\"]\n  1 -> 13 [size =\"17852416\"]\n  1 -> 14 [size =\"17852416\"]\n  1 -> 16 [size =\"17852416\"]\n  1 -> 17 [size =\"17852416\"]\n  2 [size=\"20256768\", alpha=\"0.09\", expect_size=\"10128384\"] \n  2 -> 10 [size =\"10128384\"]\n  2 -> 11 [size =\"10128384\"]\n  2 -> 12 [size =\"10128384\"]\n  2 -> 13 [size =\"10128384\"]\n  2 -> 16 [size =\"10128384\"]\n  2 -> 17 [size =\"10128384\"]\n  2 -> 18 [size =\"10128384\"]\n  3 [size=\"34506752\", alpha=\"0.10\", expect_size=\"17253376\"] \n  3 -> 16 [size =\"17253376\"]\n  4 [size=\"45506560\", alpha=\"0.16\", expect_size=\"22753280\"] \n  4 -> 12 [size =\"22753280\"]\n  5 [size=\"22233088\", alpha=\"0.17\", expect_size=\"11116544\"] \n  5 -> 11 [size =\"11116544\"]\n  5 -> 14 [size =\"11116544\"]\n  5 -> 17 [size =\"11116544\"]\n  6 [size=\"62849024\", alpha=\"0.03\", expect_size=\"31424512\"] \n  6 -> 15 [size =\"31424512\"]\n  6 -> 18 [size =\"31424512\"]\n  7 [size=\"65667072\", alpha=\"0.17\", expect_size=\"32833536\"] \n  7 -> 11 [size =\"32833536\"]\n  7 -> 13 [size =\"32833536\"]\n  7 -> 16 [size =\"32833536\"]\n  7 -> 17 [size =\"32833536\"]\n  8 [size=\"103663616\", alpha=\"0.18\", expect_size=\"51831808\"] \n  8 -> 11 [size =\"51831808\"]\n  8 -> 16 [size =\"51831808\"]\n  8 -> 17 [size =\"51831808\"]\n  8 -> 18 [size =\"51831808\"]\n  9 [size=\"15882240\", alpha=\"0.06\", expect_size=\"7941120\"] \n  9 -> 10 [size =\"7941120\"]\n  9 -> 14 [size =\"7941120\"]\n  9 -> 18 [size =\"7941120\"]\n  10 [size=\"16351232\", alpha=\"0.02\", expect_size=\"8175616\"] \n  10 -> 19 [size =\"8175616\"]\n  10 -> 23 [size =\"8175616\"]\n  10 -> 23 [size =\"8175616\"]\n  11 [size=\"83974144\", alpha=\"0.09\", expect_size=\"41987072\"] \n  11 -> 23 [size =\"41987072\"]\n  12 [size=\"104765440\", alpha=\"0.15\", expect_size=\"52382720\"] \n  12 -> 23 [size =\"52382720\"]\n  12 -> 24 [size =\"52382720\"]\n  13 [size=\"55103488\", alpha=\"0.03\", expect_size=\"27551744\"] \n  13 -> 20 [size =\"27551744\"]\n  13 -> 21 [size =\"27551744\"]\n  13 -> 22 [size =\"27551744\"]\n  13 -> 24 [size =\"27551744\"]\n  13 -> 26 [size =\"27551744\"]\n  13 -> 27 [size =\"27551744\"]\n  14 [size=\"101236736\", alpha=\"0.07\", expect_size=\"50618368\"] \n  15 [size=\"83869696\", alpha=\"0.02\", expect_size=\"41934848\"] \n  15 -> 19 [size =\"41934848\"]\n  15 -> 28 [size =\"41934848\"]\n  16 [size=\"67926016\", alpha=\"0.17\", expect_size=\"33963008\"] \n  16 -> 19 [size =\"33963008\"]\n  16 -> 20 [size =\"33963008\"]\n  16 -> 22 [size =\"33963008\"]\n  16 -> 25 [size =\"33963008\"]\n  16 -> 26 [size =\"33963008\"]\n  17 [size=\"84215808\", alpha=\"0.11\", expect_size=\"42107904\"] \n  17 -> 19 [size =\"42107904\"]\n  17 -> 22 [size =\"42107904\"]\n  17 -> 22 [size =\"42107904\"]\n  17 -> 23 [size =\"42107904\"]\n  17 -> 26 [size =\"42107904\"]\n  18 [size=\"68186112\", alpha=\"0.05\", expect_size=\"34093056\"] \n  18 -> 21 [size =\"34093056\"]\n  18 -> 22 [size =\"34093056\"]\n  18 -> 23 [size =\"34093056\"]\n  18 -> 26 [size =\"34093056\"]\n  19 [size=\"58554368\", alpha=\"0.15\", expect_size=\"29277184\"] \n  19 -> 29 [size =\"29277184\"]\n  20 [size=\"88586240\", alpha=\"0.10\", expect_size=\"44293120\"] \n  21 [size=\"99815424\", alpha=\"0.10\", expect_size=\"49907712\"] \n  21 -> 30 [size =\"49907712\"]\n  22 [size=\"48250880\", alpha=\"0.13\", expect_size=\"24125440\"] \n  22 -> 29 [size =\"24125440\"]\n  23 [size=\"22777856\", alpha=\"0.00\", expect_size=\"11388928\"] \n  24 [size=\"34838528\", alpha=\"0.15\", expect_size=\"17419264\"] \n  25 [size=\"67041280\", alpha=\"0.12\", expect_size=\"33520640\"] \n  25 -> 29 [size =\"33520640\"]\n  25 -> 30 [size =\"33520640\"]\n  26 [size=\"74999808\", alpha=\"0.01\", expect_size=\"37499904\"] \n  26 -> 29 [size =\"37499904\"]\n  27 [size=\"61974528\", alpha=\"0.01\", expect_size=\"30987264\"] \n  27 -> 29 [size =\"30987264\"]\n  28 [size=\"19376128\", alpha=\"0.01\", expect_size=\"9688064\"] \n  28 -> 29 [size =\"9688064\"]\n  29 [size=\"42207232\", alpha=\"0.02\", expect_size=\"21103616\"] \n  30 [size=\"18198528\", alpha=\"0.04\", expect_size=\"9099264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19031040\", alpha=\"0.04\", expect_size=\"7612416\"] \n  1 -> 2 [size =\"7612416\"]\n  2 [size=\"67015680\", alpha=\"0.17\", expect_size=\"26806272\"] \n  2 -> 3 [size =\"26806272\"]\n  3 [size=\"99712000\", alpha=\"0.11\", expect_size=\"39884800\"] \n  3 -> 4 [size =\"39884800\"]\n  4 [size=\"86579200\", alpha=\"0.06\", expect_size=\"34631680\"] \n  4 -> 5 [size =\"34631680\"]\n  5 [size=\"112878080\", alpha=\"0.16\", expect_size=\"45151232\"] \n  5 -> 6 [size =\"45151232\"]\n  6 [size=\"18319360\", alpha=\"0.15\", expect_size=\"7327744\"] \n  6 -> 7 [size =\"7327744\"]\n  7 [size=\"109583360\", alpha=\"0.13\", expect_size=\"43833344\"] \n  7 -> 8 [size =\"43833344\"]\n  8 [size=\"41715200\", alpha=\"0.13\", expect_size=\"16686080\"] \n  8 -> 9 [size =\"16686080\"]\n  9 [size=\"33625600\", alpha=\"0.01\", expect_size=\"13450240\"] \n  9 -> 10 [size =\"13450240\"]\n  10 [size=\"106237440\", alpha=\"0.16\", expect_size=\"42494976\"] \n  10 -> 11 [size =\"42494976\"]\n  11 [size=\"63078400\", alpha=\"0.05\", expect_size=\"25231360\"] \n  11 -> 12 [size =\"25231360\"]\n  12 [size=\"87319040\", alpha=\"0.12\", expect_size=\"34927616\"] \n  12 -> 13 [size =\"34927616\"]\n  13 [size=\"68505600\", alpha=\"0.17\", expect_size=\"27402240\"] \n  13 -> 14 [size =\"27402240\"]\n  14 [size=\"13483520\", alpha=\"0.15\", expect_size=\"5393408\"] \n  14 -> 15 [size =\"5393408\"]\n  15 [size=\"49602560\", alpha=\"0.08\", expect_size=\"19841024\"] \n  15 -> 16 [size =\"19841024\"]\n  16 [size=\"23595520\", alpha=\"0.17\", expect_size=\"9438208\"] \n  16 -> 17 [size =\"9438208\"]\n  17 [size=\"113891840\", alpha=\"0.19\", expect_size=\"45556736\"] \n  17 -> 18 [size =\"45556736\"]\n  18 [size=\"71621120\", alpha=\"0.18\", expect_size=\"28648448\"] \n  18 -> 19 [size =\"28648448\"]\n  19 [size=\"27850240\", alpha=\"0.02\", expect_size=\"11140096\"] \n  19 -> 20 [size =\"11140096\"]\n  20 [size=\"36229120\", alpha=\"0.12\", expect_size=\"14491648\"] \n  20 -> 21 [size =\"14491648\"]\n  21 [size=\"13624320\", alpha=\"0.02\", expect_size=\"5449728\"] \n  21 -> 22 [size =\"5449728\"]\n  22 [size=\"45040640\", alpha=\"0.02\", expect_size=\"18016256\"] \n  22 -> 23 [size =\"18016256\"]\n  23 [size=\"113425920\", alpha=\"0.17\", expect_size=\"45370368\"] \n  23 -> 24 [size =\"45370368\"]\n  24 [size=\"93839360\", alpha=\"0.04\", expect_size=\"37535744\"] \n  24 -> 25 [size =\"37535744\"]\n  25 [size=\"61964800\", alpha=\"0.08\", expect_size=\"24785920\"] \n  25 -> 26 [size =\"24785920\"]\n  26 [size=\"110965760\", alpha=\"0.13\", expect_size=\"44386304\"] \n  26 -> 27 [size =\"44386304\"]\n  27 [size=\"91448320\", alpha=\"0.14\", expect_size=\"36579328\"] \n  27 -> 28 [size =\"36579328\"]\n  28 [size=\"87872000\", alpha=\"0.00\", expect_size=\"35148800\"] \n  28 -> 29 [size =\"35148800\"]\n  29 [size=\"74247680\", alpha=\"0.10\", expect_size=\"29699072\"] \n  29 -> 30 [size =\"29699072\"]\n  30 [size=\"84584960\", alpha=\"0.15\", expect_size=\"33833984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37607424\", alpha=\"0.13\", expect_size=\"18803712\"] \n  1 -> 2 [size =\"18803712\"]\n  2 [size=\"38809600\", alpha=\"0.13\", expect_size=\"19404800\"] \n  2 -> 3 [size =\"19404800\"]\n  3 [size=\"12341248\", alpha=\"0.19\", expect_size=\"6170624\"] \n  3 -> 4 [size =\"6170624\"]\n  4 [size=\"12380160\", alpha=\"0.05\", expect_size=\"6190080\"] \n  4 -> 5 [size =\"6190080\"]\n  5 [size=\"16867328\", alpha=\"0.16\", expect_size=\"8433664\"] \n  5 -> 6 [size =\"8433664\"]\n  6 [size=\"34084864\", alpha=\"0.03\", expect_size=\"17042432\"] \n  6 -> 7 [size =\"17042432\"]\n  7 [size=\"62683136\", alpha=\"0.17\", expect_size=\"31341568\"] \n  7 -> 8 [size =\"31341568\"]\n  8 [size=\"22122496\", alpha=\"0.15\", expect_size=\"11061248\"] \n  8 -> 9 [size =\"11061248\"]\n  9 [size=\"38588416\", alpha=\"0.13\", expect_size=\"19294208\"] \n  9 -> 10 [size =\"19294208\"]\n  10 [size=\"41969664\", alpha=\"0.02\", expect_size=\"20984832\"] \n  10 -> 11 [size =\"20984832\"]\n  11 [size=\"66744320\", alpha=\"0.09\", expect_size=\"33372160\"] \n  11 -> 12 [size =\"33372160\"]\n  12 [size=\"34656256\", alpha=\"0.06\", expect_size=\"17328128\"] \n  12 -> 13 [size =\"17328128\"]\n  13 [size=\"97224704\", alpha=\"0.17\", expect_size=\"48612352\"] \n  13 -> 14 [size =\"48612352\"]\n  14 [size=\"92137472\", alpha=\"0.13\", expect_size=\"46068736\"] \n  14 -> 15 [size =\"46068736\"]\n  15 [size=\"20193280\", alpha=\"0.12\", expect_size=\"10096640\"] \n  15 -> 16 [size =\"10096640\"]\n  16 [size=\"97079296\", alpha=\"0.04\", expect_size=\"48539648\"] \n  16 -> 17 [size =\"48539648\"]\n  17 [size=\"18202624\", alpha=\"0.17\", expect_size=\"9101312\"] \n  17 -> 18 [size =\"9101312\"]\n  18 [size=\"99801088\", alpha=\"0.19\", expect_size=\"49900544\"] \n  18 -> 19 [size =\"49900544\"]\n  19 [size=\"77008896\", alpha=\"0.06\", expect_size=\"38504448\"] \n  19 -> 20 [size =\"38504448\"]\n  20 [size=\"44974080\", alpha=\"0.16\", expect_size=\"22487040\"] \n  20 -> 21 [size =\"22487040\"]\n  21 [size=\"52989952\", alpha=\"0.12\", expect_size=\"26494976\"] \n  21 -> 22 [size =\"26494976\"]\n  22 [size=\"95205376\", alpha=\"0.14\", expect_size=\"47602688\"] \n  22 -> 23 [size =\"47602688\"]\n  23 [size=\"29736960\", alpha=\"0.16\", expect_size=\"14868480\"] \n  23 -> 24 [size =\"14868480\"]\n  24 [size=\"13625344\", alpha=\"0.19\", expect_size=\"6812672\"] \n  24 -> 25 [size =\"6812672\"]\n  25 [size=\"76339200\", alpha=\"0.04\", expect_size=\"38169600\"] \n  25 -> 26 [size =\"38169600\"]\n  26 [size=\"38014976\", alpha=\"0.13\", expect_size=\"19007488\"] \n  26 -> 27 [size =\"19007488\"]\n  27 [size=\"54833152\", alpha=\"0.13\", expect_size=\"27416576\"] \n  27 -> 28 [size =\"27416576\"]\n  28 [size=\"42330112\", alpha=\"0.16\", expect_size=\"21165056\"] \n  28 -> 29 [size =\"21165056\"]\n  29 [size=\"37435392\", alpha=\"0.04\", expect_size=\"18717696\"] \n  29 -> 30 [size =\"18717696\"]\n  30 [size=\"63862784\", alpha=\"0.20\", expect_size=\"31931392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51011584\", alpha=\"0.18\", expect_size=\"25505792\"] \n  1 -> 2 [size =\"25505792\"]\n  2 [size=\"13010944\", alpha=\"0.16\", expect_size=\"6505472\"] \n  2 -> 3 [size =\"6505472\"]\n  2 -> 4 [size =\"6505472\"]\n  3 [size=\"18081792\", alpha=\"0.08\", expect_size=\"9040896\"] \n  3 -> 5 [size =\"9040896\"]\n  3 -> 6 [size =\"9040896\"]\n  4 [size=\"41299968\", alpha=\"0.12\", expect_size=\"20649984\"] \n  4 -> 5 [size =\"20649984\"]\n  4 -> 6 [size =\"20649984\"]\n  5 [size=\"84862976\", alpha=\"0.04\", expect_size=\"42431488\"] \n  5 -> 7 [size =\"42431488\"]\n  6 [size=\"101068800\", alpha=\"0.14\", expect_size=\"50534400\"] \n  6 -> 7 [size =\"50534400\"]\n  7 [size=\"78092288\", alpha=\"0.08\", expect_size=\"39046144\"] \n  7 -> 8 [size =\"39046144\"]\n  8 [size=\"15527936\", alpha=\"0.00\", expect_size=\"7763968\"] \n  8 -> 9 [size =\"7763968\"]\n  9 [size=\"47032320\", alpha=\"0.19\", expect_size=\"23516160\"] \n  9 -> 10 [size =\"23516160\"]\n  9 -> 11 [size =\"23516160\"]\n  10 [size=\"23928832\", alpha=\"0.01\", expect_size=\"11964416\"] \n  11 [size=\"71794688\", alpha=\"0.19\", expect_size=\"35897344\"] \n  11 -> 12 [size =\"35897344\"]\n  12 [size=\"62859264\", alpha=\"0.07\", expect_size=\"31429632\"] \n  12 -> 13 [size =\"31429632\"]\n  12 -> 14 [size =\"31429632\"]\n  13 [size=\"43593728\", alpha=\"0.00\", expect_size=\"21796864\"] \n  13 -> 15 [size =\"21796864\"]\n  14 [size=\"79847424\", alpha=\"0.18\", expect_size=\"39923712\"] \n  14 -> 15 [size =\"39923712\"]\n  15 [size=\"43405312\", alpha=\"0.06\", expect_size=\"21702656\"] \n  15 -> 16 [size =\"21702656\"]\n  15 -> 17 [size =\"21702656\"]\n  16 [size=\"63289344\", alpha=\"0.20\", expect_size=\"31644672\"] \n  16 -> 18 [size =\"31644672\"]\n  16 -> 19 [size =\"31644672\"]\n  17 [size=\"33056768\", alpha=\"0.15\", expect_size=\"16528384\"] \n  17 -> 19 [size =\"16528384\"]\n  18 [size=\"72230912\", alpha=\"0.07\", expect_size=\"36115456\"] \n  18 -> 20 [size =\"36115456\"]\n  19 [size=\"73707520\", alpha=\"0.11\", expect_size=\"36853760\"] \n  20 [size=\"70752256\", alpha=\"0.19\", expect_size=\"35376128\"] \n  20 -> 21 [size =\"35376128\"]\n  20 -> 22 [size =\"35376128\"]\n  21 [size=\"74516480\", alpha=\"0.14\", expect_size=\"37258240\"] \n  21 -> 24 [size =\"37258240\"]\n  22 [size=\"70053888\", alpha=\"0.11\", expect_size=\"35026944\"] \n  22 -> 23 [size =\"35026944\"]\n  22 -> 24 [size =\"35026944\"]\n  23 [size=\"103307264\", alpha=\"0.09\", expect_size=\"51653632\"] \n  23 -> 25 [size =\"51653632\"]\n  24 [size=\"104626176\", alpha=\"0.13\", expect_size=\"52313088\"] \n  24 -> 25 [size =\"52313088\"]\n  24 -> 26 [size =\"52313088\"]\n  25 [size=\"93466624\", alpha=\"0.13\", expect_size=\"46733312\"] \n  26 [size=\"25047040\", alpha=\"0.13\", expect_size=\"12523520\"] \n  26 -> 27 [size =\"12523520\"]\n  27 [size=\"24223744\", alpha=\"0.07\", expect_size=\"12111872\"] \n  27 -> 28 [size =\"12111872\"]\n  28 [size=\"93542400\", alpha=\"0.01\", expect_size=\"46771200\"] \n  28 -> 29 [size =\"46771200\"]\n  28 -> 30 [size =\"46771200\"]\n  29 [size=\"30654464\", alpha=\"0.04\", expect_size=\"15327232\"] \n  30 [size=\"84598784\", alpha=\"0.09\", expect_size=\"42299392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32321536\", alpha=\"0.05\", expect_size=\"16160768\"] \n  2 [size=\"13010944\", alpha=\"0.15\", expect_size=\"6505472\"] \n  2 -> 3 [size =\"6505472\"]\n  3 [size=\"99082240\", alpha=\"0.16\", expect_size=\"49541120\"] \n  3 -> 4 [size =\"49541120\"]\n  3 -> 5 [size =\"49541120\"]\n  4 [size=\"20457472\", alpha=\"0.09\", expect_size=\"10228736\"] \n  4 -> 6 [size =\"10228736\"]\n  5 [size=\"31727616\", alpha=\"0.17\", expect_size=\"15863808\"] \n  5 -> 6 [size =\"15863808\"]\n  6 [size=\"23662592\", alpha=\"0.05\", expect_size=\"11831296\"] \n  6 -> 7 [size =\"11831296\"]\n  6 -> 8 [size =\"11831296\"]\n  7 [size=\"65634304\", alpha=\"0.17\", expect_size=\"32817152\"] \n  7 -> 9 [size =\"32817152\"]\n  8 [size=\"101937152\", alpha=\"0.11\", expect_size=\"50968576\"] \n  8 -> 9 [size =\"50968576\"]\n  9 [size=\"59719680\", alpha=\"0.07\", expect_size=\"29859840\"] \n  9 -> 10 [size =\"29859840\"]\n  10 [size=\"12124160\", alpha=\"0.14\", expect_size=\"6062080\"] \n  10 -> 11 [size =\"6062080\"]\n  11 [size=\"75474944\", alpha=\"0.17\", expect_size=\"37737472\"] \n  11 -> 12 [size =\"37737472\"]\n  12 [size=\"97792000\", alpha=\"0.04\", expect_size=\"48896000\"] \n  12 -> 13 [size =\"48896000\"]\n  12 -> 14 [size =\"48896000\"]\n  13 [size=\"72935424\", alpha=\"0.13\", expect_size=\"36467712\"] \n  13 -> 15 [size =\"36467712\"]\n  14 [size=\"52357120\", alpha=\"0.10\", expect_size=\"26178560\"] \n  15 [size=\"94806016\", alpha=\"0.02\", expect_size=\"47403008\"] \n  15 -> 16 [size =\"47403008\"]\n  15 -> 17 [size =\"47403008\"]\n  16 [size=\"78995456\", alpha=\"0.18\", expect_size=\"39497728\"] \n  17 [size=\"102744064\", alpha=\"0.19\", expect_size=\"51372032\"] \n  17 -> 18 [size =\"51372032\"]\n  17 -> 19 [size =\"51372032\"]\n  18 [size=\"86968320\", alpha=\"0.10\", expect_size=\"43484160\"] \n  18 -> 20 [size =\"43484160\"]\n  18 -> 21 [size =\"43484160\"]\n  19 [size=\"44191744\", alpha=\"0.14\", expect_size=\"22095872\"] \n  19 -> 20 [size =\"22095872\"]\n  19 -> 21 [size =\"22095872\"]\n  20 [size=\"76998656\", alpha=\"0.11\", expect_size=\"38499328\"] \n  20 -> 22 [size =\"38499328\"]\n  20 -> 23 [size =\"38499328\"]\n  21 [size=\"48939008\", alpha=\"0.13\", expect_size=\"24469504\"] \n  21 -> 22 [size =\"24469504\"]\n  21 -> 23 [size =\"24469504\"]\n  22 [size=\"34326528\", alpha=\"0.16\", expect_size=\"17163264\"] \n  22 -> 24 [size =\"17163264\"]\n  23 [size=\"51130368\", alpha=\"0.17\", expect_size=\"25565184\"] \n  23 -> 24 [size =\"25565184\"]\n  23 -> 25 [size =\"25565184\"]\n  24 [size=\"17072128\", alpha=\"0.00\", expect_size=\"8536064\"] \n  24 -> 26 [size =\"8536064\"]\n  25 [size=\"63432704\", alpha=\"0.08\", expect_size=\"31716352\"] \n  25 -> 26 [size =\"31716352\"]\n  26 [size=\"71266304\", alpha=\"0.19\", expect_size=\"35633152\"] \n  26 -> 27 [size =\"35633152\"]\n  26 -> 28 [size =\"35633152\"]\n  27 [size=\"60438528\", alpha=\"0.02\", expect_size=\"30219264\"] \n  27 -> 29 [size =\"30219264\"]\n  28 [size=\"54937600\", alpha=\"0.03\", expect_size=\"27468800\"] \n  29 [size=\"102889472\", alpha=\"0.16\", expect_size=\"51444736\"] \n  29 -> 30 [size =\"51444736\"]\n  30 [size=\"73439232\", alpha=\"0.08\", expect_size=\"36719616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42690560\", alpha=\"0.16\", expect_size=\"21345280\"] \n  1 -> 28 [size =\"21345280\"]\n  2 [size=\"71620608\", alpha=\"0.01\", expect_size=\"35810304\"] \n  2 -> 26 [size =\"35810304\"]\n  2 -> 27 [size =\"35810304\"]\n  2 -> 29 [size =\"35810304\"]\n  2 -> 30 [size =\"35810304\"]\n  3 [size=\"44447744\", alpha=\"0.18\", expect_size=\"22223872\"] \n  3 -> 26 [size =\"22223872\"]\n  3 -> 29 [size =\"22223872\"]\n  3 -> 30 [size =\"22223872\"]\n  4 [size=\"41375744\", alpha=\"0.03\", expect_size=\"20687872\"] \n  4 -> 26 [size =\"20687872\"]\n  5 [size=\"18870272\", alpha=\"0.17\", expect_size=\"9435136\"] \n  5 -> 26 [size =\"9435136\"]\n  5 -> 28 [size =\"9435136\"]\n  6 [size=\"30171136\", alpha=\"0.10\", expect_size=\"15085568\"] \n  6 -> 26 [size =\"15085568\"]\n  7 [size=\"44904448\", alpha=\"0.03\", expect_size=\"22452224\"] \n  7 -> 26 [size =\"22452224\"]\n  7 -> 27 [size =\"22452224\"]\n  8 [size=\"34572288\", alpha=\"0.14\", expect_size=\"17286144\"] \n  8 -> 28 [size =\"17286144\"]\n  9 [size=\"89917440\", alpha=\"0.09\", expect_size=\"44958720\"] \n  10 [size=\"77795328\", alpha=\"0.07\", expect_size=\"38897664\"] \n  10 -> 28 [size =\"38897664\"]\n  11 [size=\"72269824\", alpha=\"0.07\", expect_size=\"36134912\"] \n  11 -> 30 [size =\"36134912\"]\n  12 [size=\"51290112\", alpha=\"0.20\", expect_size=\"25645056\"] \n  13 [size=\"54024192\", alpha=\"0.05\", expect_size=\"27012096\"] \n  13 -> 26 [size =\"27012096\"]\n  13 -> 28 [size =\"27012096\"]\n  13 -> 29 [size =\"27012096\"]\n  14 [size=\"44273664\", alpha=\"0.05\", expect_size=\"22136832\"] \n  14 -> 26 [size =\"22136832\"]\n  14 -> 28 [size =\"22136832\"]\n  14 -> 30 [size =\"22136832\"]\n  15 [size=\"58245120\", alpha=\"0.09\", expect_size=\"29122560\"] \n  15 -> 26 [size =\"29122560\"]\n  15 -> 28 [size =\"29122560\"]\n  16 [size=\"44019712\", alpha=\"0.14\", expect_size=\"22009856\"] \n  16 -> 28 [size =\"22009856\"]\n  16 -> 29 [size =\"22009856\"]\n  17 [size=\"89663488\", alpha=\"0.19\", expect_size=\"44831744\"] \n  17 -> 26 [size =\"44831744\"]\n  17 -> 28 [size =\"44831744\"]\n  17 -> 29 [size =\"44831744\"]\n  18 [size=\"101820416\", alpha=\"0.14\", expect_size=\"50910208\"] \n  18 -> 28 [size =\"50910208\"]\n  18 -> 29 [size =\"50910208\"]\n  18 -> 29 [size =\"50910208\"]\n  18 -> 30 [size =\"50910208\"]\n  19 [size=\"71585792\", alpha=\"0.11\", expect_size=\"35792896\"] \n  19 -> 26 [size =\"35792896\"]\n  19 -> 29 [size =\"35792896\"]\n  20 [size=\"19556352\", alpha=\"0.12\", expect_size=\"9778176\"] \n  20 -> 26 [size =\"9778176\"]\n  20 -> 29 [size =\"9778176\"]\n  20 -> 30 [size =\"9778176\"]\n  21 [size=\"50704384\", alpha=\"0.00\", expect_size=\"25352192\"] \n  21 -> 26 [size =\"25352192\"]\n  21 -> 27 [size =\"25352192\"]\n  21 -> 28 [size =\"25352192\"]\n  21 -> 29 [size =\"25352192\"]\n  21 -> 30 [size =\"25352192\"]\n  22 [size=\"83646464\", alpha=\"0.02\", expect_size=\"41823232\"] \n  22 -> 26 [size =\"41823232\"]\n  23 [size=\"82307072\", alpha=\"0.10\", expect_size=\"41153536\"] \n  24 [size=\"104110080\", alpha=\"0.05\", expect_size=\"52055040\"] \n  24 -> 26 [size =\"52055040\"]\n  24 -> 28 [size =\"52055040\"]\n  24 -> 29 [size =\"52055040\"]\n  25 [size=\"32505856\", alpha=\"0.01\", expect_size=\"16252928\"] \n  25 -> 28 [size =\"16252928\"]\n  26 [size=\"75354112\", alpha=\"0.02\", expect_size=\"37677056\"] \n  27 [size=\"45797376\", alpha=\"0.10\", expect_size=\"22898688\"] \n  28 [size=\"38950912\", alpha=\"0.03\", expect_size=\"19475456\"] \n  29 [size=\"11331584\", alpha=\"0.13\", expect_size=\"5665792\"] \n  30 [size=\"62740480\", alpha=\"0.18\", expect_size=\"31370240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86243328\", alpha=\"0.12\", expect_size=\"43121664\"] \n  1 -> 2 [size =\"43121664\"]\n  2 [size=\"34058240\", alpha=\"0.15\", expect_size=\"17029120\"] \n  2 -> 3 [size =\"17029120\"]\n  3 [size=\"42559488\", alpha=\"0.08\", expect_size=\"21279744\"] \n  3 -> 4 [size =\"21279744\"]\n  4 [size=\"87068672\", alpha=\"0.06\", expect_size=\"43534336\"] \n  4 -> 5 [size =\"43534336\"]\n  5 [size=\"101427200\", alpha=\"0.11\", expect_size=\"50713600\"] \n  5 -> 6 [size =\"50713600\"]\n  6 [size=\"61167616\", alpha=\"0.15\", expect_size=\"30583808\"] \n  6 -> 7 [size =\"30583808\"]\n  7 [size=\"83712000\", alpha=\"0.02\", expect_size=\"41856000\"] \n  7 -> 8 [size =\"41856000\"]\n  8 [size=\"84819968\", alpha=\"0.02\", expect_size=\"42409984\"] \n  8 -> 9 [size =\"42409984\"]\n  9 [size=\"84862976\", alpha=\"0.05\", expect_size=\"42431488\"] \n  9 -> 10 [size =\"42431488\"]\n  10 [size=\"15509504\", alpha=\"0.08\", expect_size=\"7754752\"] \n  10 -> 11 [size =\"7754752\"]\n  11 [size=\"95338496\", alpha=\"0.03\", expect_size=\"47669248\"] \n  11 -> 12 [size =\"47669248\"]\n  12 [size=\"58994688\", alpha=\"0.01\", expect_size=\"29497344\"] \n  12 -> 13 [size =\"29497344\"]\n  13 [size=\"36564992\", alpha=\"0.06\", expect_size=\"18282496\"] \n  13 -> 14 [size =\"18282496\"]\n  14 [size=\"72755200\", alpha=\"0.10\", expect_size=\"36377600\"] \n  14 -> 15 [size =\"36377600\"]\n  15 [size=\"101226496\", alpha=\"0.20\", expect_size=\"50613248\"] \n  15 -> 16 [size =\"50613248\"]\n  16 [size=\"59365376\", alpha=\"0.02\", expect_size=\"29682688\"] \n  16 -> 17 [size =\"29682688\"]\n  17 [size=\"37916672\", alpha=\"0.07\", expect_size=\"18958336\"] \n  17 -> 18 [size =\"18958336\"]\n  18 [size=\"45907968\", alpha=\"0.09\", expect_size=\"22953984\"] \n  18 -> 19 [size =\"22953984\"]\n  19 [size=\"57671680\", alpha=\"0.16\", expect_size=\"28835840\"] \n  19 -> 20 [size =\"28835840\"]\n  20 [size=\"83097600\", alpha=\"0.08\", expect_size=\"41548800\"] \n  20 -> 21 [size =\"41548800\"]\n  21 [size=\"27500544\", alpha=\"0.15\", expect_size=\"13750272\"] \n  21 -> 22 [size =\"13750272\"]\n  22 [size=\"41814016\", alpha=\"0.08\", expect_size=\"20907008\"] \n  22 -> 23 [size =\"20907008\"]\n  23 [size=\"46829568\", alpha=\"0.07\", expect_size=\"23414784\"] \n  23 -> 24 [size =\"23414784\"]\n  24 [size=\"76550144\", alpha=\"0.03\", expect_size=\"38275072\"] \n  24 -> 25 [size =\"38275072\"]\n  25 [size=\"28704768\", alpha=\"0.17\", expect_size=\"14352384\"] \n  25 -> 26 [size =\"14352384\"]\n  26 [size=\"27373568\", alpha=\"0.03\", expect_size=\"13686784\"] \n  26 -> 27 [size =\"13686784\"]\n  27 [size=\"38037504\", alpha=\"0.04\", expect_size=\"19018752\"] \n  27 -> 28 [size =\"19018752\"]\n  28 [size=\"72175616\", alpha=\"0.01\", expect_size=\"36087808\"] \n  28 -> 29 [size =\"36087808\"]\n  29 [size=\"21442560\", alpha=\"0.14\", expect_size=\"10721280\"] \n  29 -> 30 [size =\"10721280\"]\n  30 [size=\"97445888\", alpha=\"0.07\", expect_size=\"48722944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72911360\", alpha=\"0.10\", expect_size=\"29164544\"] \n  1 -> 9 [size =\"29164544\"]\n  1 -> 11 [size =\"29164544\"]\n  1 -> 12 [size =\"29164544\"]\n  1 -> 14 [size =\"29164544\"]\n  2 [size=\"33003520\", alpha=\"0.19\", expect_size=\"13201408\"] \n  2 -> 11 [size =\"13201408\"]\n  2 -> 12 [size =\"13201408\"]\n  3 [size=\"101248000\", alpha=\"0.12\", expect_size=\"40499200\"] \n  3 -> 10 [size =\"40499200\"]\n  3 -> 11 [size =\"40499200\"]\n  3 -> 12 [size =\"40499200\"]\n  3 -> 14 [size =\"40499200\"]\n  3 -> 15 [size =\"40499200\"]\n  3 -> 16 [size =\"40499200\"]\n  4 [size=\"115353600\", alpha=\"0.11\", expect_size=\"46141440\"] \n  4 -> 10 [size =\"46141440\"]\n  4 -> 13 [size =\"46141440\"]\n  4 -> 14 [size =\"46141440\"]\n  5 [size=\"15114240\", alpha=\"0.05\", expect_size=\"6045696\"] \n  5 -> 10 [size =\"6045696\"]\n  5 -> 16 [size =\"6045696\"]\n  6 [size=\"34068480\", alpha=\"0.07\", expect_size=\"13627392\"] \n  6 -> 9 [size =\"13627392\"]\n  6 -> 13 [size =\"13627392\"]\n  6 -> 16 [size =\"13627392\"]\n  7 [size=\"117913600\", alpha=\"0.00\", expect_size=\"47165440\"] \n  7 -> 10 [size =\"47165440\"]\n  7 -> 12 [size =\"47165440\"]\n  7 -> 14 [size =\"47165440\"]\n  8 [size=\"69163520\", alpha=\"0.03\", expect_size=\"27665408\"] \n  8 -> 9 [size =\"27665408\"]\n  8 -> 15 [size =\"27665408\"]\n  9 [size=\"113024000\", alpha=\"0.18\", expect_size=\"45209600\"] \n  9 -> 17 [size =\"45209600\"]\n  9 -> 21 [size =\"45209600\"]\n  9 -> 22 [size =\"45209600\"]\n  10 [size=\"15984640\", alpha=\"0.19\", expect_size=\"6393856\"] \n  11 [size=\"105210880\", alpha=\"0.19\", expect_size=\"42084352\"] \n  11 -> 20 [size =\"42084352\"]\n  12 [size=\"48581120\", alpha=\"0.08\", expect_size=\"19432448\"] \n  12 -> 22 [size =\"19432448\"]\n  13 [size=\"40552960\", alpha=\"0.18\", expect_size=\"16221184\"] \n  13 -> 19 [size =\"16221184\"]\n  13 -> 22 [size =\"16221184\"]\n  13 -> 23 [size =\"16221184\"]\n  14 [size=\"111480320\", alpha=\"0.13\", expect_size=\"44592128\"] \n  14 -> 21 [size =\"44592128\"]\n  14 -> 22 [size =\"44592128\"]\n  14 -> 23 [size =\"44592128\"]\n  15 [size=\"57661440\", alpha=\"0.01\", expect_size=\"23064576\"] \n  15 -> 21 [size =\"23064576\"]\n  15 -> 23 [size =\"23064576\"]\n  16 [size=\"87848960\", alpha=\"0.06\", expect_size=\"35139584\"] \n  16 -> 18 [size =\"35139584\"]\n  16 -> 19 [size =\"35139584\"]\n  16 -> 21 [size =\"35139584\"]\n  17 [size=\"13117440\", alpha=\"0.14\", expect_size=\"5246976\"] \n  17 -> 29 [size =\"5246976\"]\n  18 [size=\"13788160\", alpha=\"0.09\", expect_size=\"5515264\"] \n  18 -> 24 [size =\"5515264\"]\n  18 -> 26 [size =\"5515264\"]\n  18 -> 29 [size =\"5515264\"]\n  19 [size=\"32281600\", alpha=\"0.12\", expect_size=\"12912640\"] \n  19 -> 29 [size =\"12912640\"]\n  20 [size=\"22868480\", alpha=\"0.00\", expect_size=\"9147392\"] \n  20 -> 26 [size =\"9147392\"]\n  20 -> 28 [size =\"9147392\"]\n  20 -> 29 [size =\"9147392\"]\n  21 [size=\"15961600\", alpha=\"0.19\", expect_size=\"6384640\"] \n  21 -> 26 [size =\"6384640\"]\n  21 -> 28 [size =\"6384640\"]\n  21 -> 30 [size =\"6384640\"]\n  22 [size=\"130810880\", alpha=\"0.01\", expect_size=\"52324352\"] \n  22 -> 25 [size =\"52324352\"]\n  23 [size=\"61465600\", alpha=\"0.18\", expect_size=\"24586240\"] \n  23 -> 25 [size =\"24586240\"]\n  23 -> 27 [size =\"24586240\"]\n  24 [size=\"51258880\", alpha=\"0.12\", expect_size=\"20503552\"] \n  25 [size=\"127488000\", alpha=\"0.06\", expect_size=\"50995200\"] \n  26 [size=\"15436800\", alpha=\"0.05\", expect_size=\"6174720\"] \n  27 [size=\"52298240\", alpha=\"0.01\", expect_size=\"20919296\"] \n  28 [size=\"15797760\", alpha=\"0.06\", expect_size=\"6319104\"] \n  29 [size=\"70630400\", alpha=\"0.08\", expect_size=\"28252160\"] \n  30 [size=\"21813760\", alpha=\"0.11\", expect_size=\"8725504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11892736\", alpha=\"0.02\", expect_size=\"5946368\"] \n  1 -> 12 [size =\"5946368\"]\n  1 -> 16 [size =\"5946368\"]\n  1 -> 17 [size =\"5946368\"]\n  2 [size=\"30332928\", alpha=\"0.12\", expect_size=\"15166464\"] \n  2 -> 13 [size =\"15166464\"]\n  2 -> 16 [size =\"15166464\"]\n  3 [size=\"98811904\", alpha=\"0.12\", expect_size=\"49405952\"] \n  3 -> 12 [size =\"49405952\"]\n  3 -> 13 [size =\"49405952\"]\n  3 -> 16 [size =\"49405952\"]\n  4 [size=\"91326464\", alpha=\"0.11\", expect_size=\"45663232\"] \n  4 -> 12 [size =\"45663232\"]\n  4 -> 17 [size =\"45663232\"]\n  5 [size=\"17776640\", alpha=\"0.00\", expect_size=\"8888320\"] \n  5 -> 13 [size =\"8888320\"]\n  5 -> 14 [size =\"8888320\"]\n  6 [size=\"70193152\", alpha=\"0.09\", expect_size=\"35096576\"] \n  6 -> 14 [size =\"35096576\"]\n  6 -> 18 [size =\"35096576\"]\n  7 [size=\"52168704\", alpha=\"0.14\", expect_size=\"26084352\"] \n  7 -> 13 [size =\"26084352\"]\n  7 -> 18 [size =\"26084352\"]\n  8 [size=\"66951168\", alpha=\"0.12\", expect_size=\"33475584\"] \n  8 -> 18 [size =\"33475584\"]\n  9 [size=\"87869440\", alpha=\"0.01\", expect_size=\"43934720\"] \n  9 -> 18 [size =\"43934720\"]\n  10 [size=\"70344704\", alpha=\"0.02\", expect_size=\"35172352\"] \n  10 -> 15 [size =\"35172352\"]\n  10 -> 16 [size =\"35172352\"]\n  11 [size=\"51341312\", alpha=\"0.02\", expect_size=\"25670656\"] \n  11 -> 13 [size =\"25670656\"]\n  11 -> 16 [size =\"25670656\"]\n  12 [size=\"58861568\", alpha=\"0.04\", expect_size=\"29430784\"] \n  12 -> 19 [size =\"29430784\"]\n  12 -> 23 [size =\"29430784\"]\n  12 -> 25 [size =\"29430784\"]\n  13 [size=\"19460096\", alpha=\"0.13\", expect_size=\"9730048\"] \n  13 -> 21 [size =\"9730048\"]\n  13 -> 24 [size =\"9730048\"]\n  13 -> 25 [size =\"9730048\"]\n  14 [size=\"77371392\", alpha=\"0.14\", expect_size=\"38685696\"] \n  14 -> 21 [size =\"38685696\"]\n  14 -> 24 [size =\"38685696\"]\n  15 [size=\"34816000\", alpha=\"0.10\", expect_size=\"17408000\"] \n  15 -> 19 [size =\"17408000\"]\n  15 -> 20 [size =\"17408000\"]\n  16 [size=\"35106816\", alpha=\"0.13\", expect_size=\"17553408\"] \n  16 -> 19 [size =\"17553408\"]\n  16 -> 20 [size =\"17553408\"]\n  16 -> 23 [size =\"17553408\"]\n  17 [size=\"78012416\", alpha=\"0.18\", expect_size=\"39006208\"] \n  17 -> 20 [size =\"39006208\"]\n  17 -> 22 [size =\"39006208\"]\n  17 -> 24 [size =\"39006208\"]\n  18 [size=\"49219584\", alpha=\"0.11\", expect_size=\"24609792\"] \n  18 -> 20 [size =\"24609792\"]\n  18 -> 23 [size =\"24609792\"]\n  19 [size=\"12937216\", alpha=\"0.01\", expect_size=\"6468608\"] \n  19 -> 26 [size =\"6468608\"]\n  19 -> 27 [size =\"6468608\"]\n  19 -> 29 [size =\"6468608\"]\n  20 [size=\"15425536\", alpha=\"0.12\", expect_size=\"7712768\"] \n  20 -> 26 [size =\"7712768\"]\n  20 -> 27 [size =\"7712768\"]\n  21 [size=\"22745088\", alpha=\"0.04\", expect_size=\"11372544\"] \n  21 -> 30 [size =\"11372544\"]\n  22 [size=\"32946176\", alpha=\"0.19\", expect_size=\"16473088\"] \n  22 -> 30 [size =\"16473088\"]\n  23 [size=\"50823168\", alpha=\"0.14\", expect_size=\"25411584\"] \n  23 -> 26 [size =\"25411584\"]\n  23 -> 27 [size =\"25411584\"]\n  23 -> 28 [size =\"25411584\"]\n  23 -> 30 [size =\"25411584\"]\n  24 [size=\"19122176\", alpha=\"0.06\", expect_size=\"9561088\"] \n  24 -> 29 [size =\"9561088\"]\n  25 [size=\"87003136\", alpha=\"0.19\", expect_size=\"43501568\"] \n  26 [size=\"38428672\", alpha=\"0.05\", expect_size=\"19214336\"] \n  27 [size=\"98848768\", alpha=\"0.20\", expect_size=\"49424384\"] \n  28 [size=\"87644160\", alpha=\"0.06\", expect_size=\"43822080\"] \n  29 [size=\"46503936\", alpha=\"0.09\", expect_size=\"23251968\"] \n  30 [size=\"49858560\", alpha=\"0.05\", expect_size=\"24929280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74840747\", alpha=\"0.12\", expect_size=\"22452224\"] \n  2 [size=\"72901973\", alpha=\"0.09\", expect_size=\"21870592\"] \n  2 -> 28 [size =\"21870592\"]\n  2 -> 29 [size =\"21870592\"]\n  3 [size=\"82022400\", alpha=\"0.20\", expect_size=\"24606720\"] \n  3 -> 30 [size =\"24606720\"]\n  4 [size=\"86835200\", alpha=\"0.03\", expect_size=\"26050560\"] \n  4 -> 28 [size =\"26050560\"]\n  5 [size=\"95880533\", alpha=\"0.03\", expect_size=\"28764160\"] \n  6 [size=\"71505920\", alpha=\"0.12\", expect_size=\"21451776\"] \n  7 [size=\"29890560\", alpha=\"0.13\", expect_size=\"8967168\"] \n  7 -> 27 [size =\"8967168\"]\n  8 [size=\"167690240\", alpha=\"0.09\", expect_size=\"50307072\"] \n  8 -> 29 [size =\"50307072\"]\n  9 [size=\"84404907\", alpha=\"0.07\", expect_size=\"25321472\"] \n  9 -> 28 [size =\"25321472\"]\n  10 [size=\"148787200\", alpha=\"0.06\", expect_size=\"44636160\"] \n  10 -> 28 [size =\"44636160\"]\n  10 -> 29 [size =\"44636160\"]\n  11 [size=\"80936960\", alpha=\"0.01\", expect_size=\"24281088\"] \n  11 -> 29 [size =\"24281088\"]\n  12 [size=\"20179627\", alpha=\"0.06\", expect_size=\"6053888\"] \n  12 -> 28 [size =\"6053888\"]\n  13 [size=\"94750720\", alpha=\"0.17\", expect_size=\"28425216\"] \n  13 -> 27 [size =\"28425216\"]\n  13 -> 28 [size =\"28425216\"]\n  14 [size=\"92439893\", alpha=\"0.08\", expect_size=\"27731968\"] \n  14 -> 28 [size =\"27731968\"]\n  15 [size=\"117394773\", alpha=\"0.14\", expect_size=\"35218432\"] \n  15 -> 28 [size =\"35218432\"]\n  15 -> 29 [size =\"35218432\"]\n  16 [size=\"142090240\", alpha=\"0.17\", expect_size=\"42627072\"] \n  16 -> 29 [size =\"42627072\"]\n  17 [size=\"77984427\", alpha=\"0.12\", expect_size=\"23395328\"] \n  17 -> 28 [size =\"23395328\"]\n  18 [size=\"22265173\", alpha=\"0.04\", expect_size=\"6679552\"] \n  18 -> 28 [size =\"6679552\"]\n  19 [size=\"94556160\", alpha=\"0.19\", expect_size=\"28366848\"] \n  19 -> 28 [size =\"28366848\"]\n  20 [size=\"150968320\", alpha=\"0.14\", expect_size=\"45290496\"] \n  21 [size=\"44154880\", alpha=\"0.15\", expect_size=\"13246464\"] \n  21 -> 28 [size =\"13246464\"]\n  22 [size=\"50070187\", alpha=\"0.04\", expect_size=\"15021056\"] \n  23 [size=\"94194347\", alpha=\"0.01\", expect_size=\"28258304\"] \n  23 -> 27 [size =\"28258304\"]\n  24 [size=\"73403733\", alpha=\"0.06\", expect_size=\"22021120\"] \n  24 -> 29 [size =\"22021120\"]\n  25 [size=\"134072320\", alpha=\"0.02\", expect_size=\"40221696\"] \n  25 -> 28 [size =\"40221696\"]\n  26 [size=\"85073920\", alpha=\"0.04\", expect_size=\"25522176\"] \n  26 -> 28 [size =\"25522176\"]\n  27 [size=\"60914347\", alpha=\"0.08\", expect_size=\"18274304\"] \n  28 [size=\"158648320\", alpha=\"0.12\", expect_size=\"47594496\"] \n  29 [size=\"30924800\", alpha=\"0.03\", expect_size=\"9277440\"] \n  30 [size=\"26115413\", alpha=\"0.12\", expect_size=\"7834624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54157312\", alpha=\"0.19\", expect_size=\"27078656\"] \n  2 [size=\"25106432\", alpha=\"0.15\", expect_size=\"12553216\"] \n  3 [size=\"14522368\", alpha=\"0.04\", expect_size=\"7261184\"] \n  4 [size=\"15730688\", alpha=\"0.07\", expect_size=\"7865344\"] \n  5 [size=\"12900352\", alpha=\"0.10\", expect_size=\"6450176\"] \n  6 [size=\"51382272\", alpha=\"0.00\", expect_size=\"25691136\"] \n  7 [size=\"32284672\", alpha=\"0.08\", expect_size=\"16142336\"] \n  8 [size=\"64440320\", alpha=\"0.03\", expect_size=\"32220160\"] \n  9 [size=\"88016896\", alpha=\"0.13\", expect_size=\"44008448\"] \n  10 [size=\"11765760\", alpha=\"0.01\", expect_size=\"5882880\"] \n  11 [size=\"103399424\", alpha=\"0.00\", expect_size=\"51699712\"] \n  12 [size=\"99379200\", alpha=\"0.18\", expect_size=\"49689600\"] \n  13 [size=\"77651968\", alpha=\"0.09\", expect_size=\"38825984\"] \n  14 [size=\"94590976\", alpha=\"0.11\", expect_size=\"47295488\"] \n  15 [size=\"31014912\", alpha=\"0.10\", expect_size=\"15507456\"] \n  16 [size=\"80021504\", alpha=\"0.03\", expect_size=\"40010752\"] \n  17 [size=\"80924672\", alpha=\"0.05\", expect_size=\"40462336\"] \n  18 [size=\"24659968\", alpha=\"0.16\", expect_size=\"12329984\"] \n  19 [size=\"40994816\", alpha=\"0.15\", expect_size=\"20497408\"] \n  20 [size=\"102289408\", alpha=\"0.15\", expect_size=\"51144704\"] \n  21 [size=\"104722432\", alpha=\"0.05\", expect_size=\"52361216\"] \n  22 [size=\"11235328\", alpha=\"0.19\", expect_size=\"5617664\"] \n  23 [size=\"96946176\", alpha=\"0.13\", expect_size=\"48473088\"] \n  24 [size=\"45819904\", alpha=\"0.08\", expect_size=\"22909952\"] \n  25 [size=\"96249856\", alpha=\"0.04\", expect_size=\"48124928\"] \n  26 [size=\"46872576\", alpha=\"0.08\", expect_size=\"23436288\"] \n  27 [size=\"63287296\", alpha=\"0.17\", expect_size=\"31643648\"] \n  28 [size=\"88244224\", alpha=\"0.17\", expect_size=\"44122112\"] \n  29 [size=\"71632896\", alpha=\"0.14\", expect_size=\"35816448\"] \n  30 [size=\"45811712\", alpha=\"0.11\", expect_size=\"22905856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87864320\", alpha=\"0.13\", expect_size=\"35145728\"] \n  1 -> 2 [size =\"35145728\"]\n  2 [size=\"88104960\", alpha=\"0.10\", expect_size=\"35241984\"] \n  2 -> 3 [size =\"35241984\"]\n  3 [size=\"89182720\", alpha=\"0.10\", expect_size=\"35673088\"] \n  3 -> 4 [size =\"35673088\"]\n  4 [size=\"99176960\", alpha=\"0.03\", expect_size=\"39670784\"] \n  4 -> 5 [size =\"39670784\"]\n  5 [size=\"86691840\", alpha=\"0.18\", expect_size=\"34676736\"] \n  5 -> 6 [size =\"34676736\"]\n  6 [size=\"76136960\", alpha=\"0.05\", expect_size=\"30454784\"] \n  6 -> 7 [size =\"30454784\"]\n  7 [size=\"79715840\", alpha=\"0.06\", expect_size=\"31886336\"] \n  7 -> 8 [size =\"31886336\"]\n  8 [size=\"75737600\", alpha=\"0.18\", expect_size=\"30295040\"] \n  8 -> 9 [size =\"30295040\"]\n  9 [size=\"67653120\", alpha=\"0.13\", expect_size=\"27061248\"] \n  9 -> 10 [size =\"27061248\"]\n  10 [size=\"123148800\", alpha=\"0.13\", expect_size=\"49259520\"] \n  10 -> 11 [size =\"49259520\"]\n  11 [size=\"21017600\", alpha=\"0.08\", expect_size=\"8407040\"] \n  11 -> 12 [size =\"8407040\"]\n  12 [size=\"99609600\", alpha=\"0.15\", expect_size=\"39843840\"] \n  12 -> 13 [size =\"39843840\"]\n  13 [size=\"40145920\", alpha=\"0.13\", expect_size=\"16058368\"] \n  13 -> 14 [size =\"16058368\"]\n  14 [size=\"101404160\", alpha=\"0.13\", expect_size=\"40561664\"] \n  14 -> 15 [size =\"40561664\"]\n  15 [size=\"116582400\", alpha=\"0.00\", expect_size=\"46632960\"] \n  15 -> 16 [size =\"46632960\"]\n  16 [size=\"107253760\", alpha=\"0.14\", expect_size=\"42901504\"] \n  16 -> 17 [size =\"42901504\"]\n  17 [size=\"21332480\", alpha=\"0.18\", expect_size=\"8532992\"] \n  17 -> 18 [size =\"8532992\"]\n  18 [size=\"59448320\", alpha=\"0.00\", expect_size=\"23779328\"] \n  18 -> 19 [size =\"23779328\"]\n  19 [size=\"50311680\", alpha=\"0.09\", expect_size=\"20124672\"] \n  19 -> 20 [size =\"20124672\"]\n  20 [size=\"127833600\", alpha=\"0.11\", expect_size=\"51133440\"] \n  20 -> 21 [size =\"51133440\"]\n  21 [size=\"86935040\", alpha=\"0.06\", expect_size=\"34774016\"] \n  21 -> 22 [size =\"34774016\"]\n  22 [size=\"18088960\", alpha=\"0.14\", expect_size=\"7235584\"] \n  22 -> 23 [size =\"7235584\"]\n  23 [size=\"105658880\", alpha=\"0.14\", expect_size=\"42263552\"] \n  23 -> 24 [size =\"42263552\"]\n  24 [size=\"64268800\", alpha=\"0.09\", expect_size=\"25707520\"] \n  24 -> 25 [size =\"25707520\"]\n  25 [size=\"24878080\", alpha=\"0.17\", expect_size=\"9951232\"] \n  25 -> 26 [size =\"9951232\"]\n  26 [size=\"27799040\", alpha=\"0.15\", expect_size=\"11119616\"] \n  26 -> 27 [size =\"11119616\"]\n  27 [size=\"111741440\", alpha=\"0.04\", expect_size=\"44696576\"] \n  27 -> 28 [size =\"44696576\"]\n  28 [size=\"98444800\", alpha=\"0.04\", expect_size=\"39377920\"] \n  28 -> 29 [size =\"39377920\"]\n  29 [size=\"98918400\", alpha=\"0.14\", expect_size=\"39567360\"] \n  29 -> 30 [size =\"39567360\"]\n  30 [size=\"35356160\", alpha=\"0.02\", expect_size=\"14142464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106240000\", alpha=\"0.10\", expect_size=\"31872000\"] \n  1 -> 3 [size =\"31872000\"]\n  2 [size=\"165389653\", alpha=\"0.19\", expect_size=\"49616896\"] \n  2 -> 3 [size =\"49616896\"]\n  3 [size=\"97744213\", alpha=\"0.06\", expect_size=\"29323264\"] \n  3 -> 4 [size =\"29323264\"]\n  3 -> 5 [size =\"29323264\"]\n  4 [size=\"86019413\", alpha=\"0.15\", expect_size=\"25805824\"] \n  4 -> 6 [size =\"25805824\"]\n  5 [size=\"25989120\", alpha=\"0.02\", expect_size=\"7796736\"] \n  6 [size=\"34194773\", alpha=\"0.14\", expect_size=\"10258432\"] \n  6 -> 7 [size =\"10258432\"]\n  7 [size=\"147425280\", alpha=\"0.07\", expect_size=\"44227584\"] \n  7 -> 8 [size =\"44227584\"]\n  8 [size=\"151115093\", alpha=\"0.00\", expect_size=\"45334528\"] \n  8 -> 9 [size =\"45334528\"]\n  9 [size=\"48397653\", alpha=\"0.02\", expect_size=\"14519296\"] \n  9 -> 10 [size =\"14519296\"]\n  9 -> 11 [size =\"14519296\"]\n  10 [size=\"28634453\", alpha=\"0.06\", expect_size=\"8590336\"] \n  10 -> 12 [size =\"8590336\"]\n  11 [size=\"23227733\", alpha=\"0.06\", expect_size=\"6968320\"] \n  11 -> 12 [size =\"6968320\"]\n  11 -> 13 [size =\"6968320\"]\n  12 [size=\"105106773\", alpha=\"0.18\", expect_size=\"31532032\"] \n  12 -> 14 [size =\"31532032\"]\n  13 [size=\"93798400\", alpha=\"0.00\", expect_size=\"28139520\"] \n  13 -> 14 [size =\"28139520\"]\n  14 [size=\"143820800\", alpha=\"0.18\", expect_size=\"43146240\"] \n  14 -> 15 [size =\"43146240\"]\n  14 -> 16 [size =\"43146240\"]\n  15 [size=\"102720853\", alpha=\"0.03\", expect_size=\"30816256\"] \n  15 -> 17 [size =\"30816256\"]\n  16 [size=\"118937600\", alpha=\"0.09\", expect_size=\"35681280\"] \n  17 [size=\"69782187\", alpha=\"0.19\", expect_size=\"20934656\"] \n  17 -> 18 [size =\"20934656\"]\n  18 [size=\"126126080\", alpha=\"0.12\", expect_size=\"37837824\"] \n  18 -> 19 [size =\"37837824\"]\n  18 -> 20 [size =\"37837824\"]\n  19 [size=\"127225173\", alpha=\"0.16\", expect_size=\"38167552\"] \n  20 [size=\"146435413\", alpha=\"0.07\", expect_size=\"43930624\"] \n  20 -> 21 [size =\"43930624\"]\n  21 [size=\"36096000\", alpha=\"0.09\", expect_size=\"10828800\"] \n  21 -> 22 [size =\"10828800\"]\n  21 -> 23 [size =\"10828800\"]\n  22 [size=\"84589227\", alpha=\"0.09\", expect_size=\"25376768\"] \n  22 -> 24 [size =\"25376768\"]\n  23 [size=\"66839893\", alpha=\"0.00\", expect_size=\"20051968\"] \n  24 [size=\"69717333\", alpha=\"0.20\", expect_size=\"20915200\"] \n  24 -> 25 [size =\"20915200\"]\n  24 -> 26 [size =\"20915200\"]\n  25 [size=\"57541973\", alpha=\"0.01\", expect_size=\"17262592\"] \n  26 [size=\"77646507\", alpha=\"0.04\", expect_size=\"23293952\"] \n  26 -> 27 [size =\"23293952\"]\n  27 [size=\"146507093\", alpha=\"0.03\", expect_size=\"43952128\"] \n  27 -> 28 [size =\"43952128\"]\n  28 [size=\"138158080\", alpha=\"0.19\", expect_size=\"41447424\"] \n  28 -> 29 [size =\"41447424\"]\n  28 -> 30 [size =\"41447424\"]\n  29 [size=\"75649707\", alpha=\"0.20\", expect_size=\"22694912\"] \n  30 [size=\"44021760\", alpha=\"0.01\", expect_size=\"13206528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79204352\", alpha=\"0.08\", expect_size=\"39602176\"] \n  1 -> 17 [size =\"39602176\"]\n  1 -> 21 [size =\"39602176\"]\n  1 -> 22 [size =\"39602176\"]\n  1 -> 25 [size =\"39602176\"]\n  1 -> 28 [size =\"39602176\"]\n  1 -> 30 [size =\"39602176\"]\n  2 [size=\"18753536\", alpha=\"0.03\", expect_size=\"9376768\"] \n  2 -> 19 [size =\"9376768\"]\n  2 -> 20 [size =\"9376768\"]\n  2 -> 25 [size =\"9376768\"]\n  2 -> 26 [size =\"9376768\"]\n  2 -> 27 [size =\"9376768\"]\n  2 -> 28 [size =\"9376768\"]\n  2 -> 30 [size =\"9376768\"]\n  3 [size=\"43143168\", alpha=\"0.04\", expect_size=\"21571584\"] \n  3 -> 18 [size =\"21571584\"]\n  3 -> 19 [size =\"21571584\"]\n  3 -> 20 [size =\"21571584\"]\n  3 -> 22 [size =\"21571584\"]\n  3 -> 23 [size =\"21571584\"]\n  3 -> 25 [size =\"21571584\"]\n  3 -> 26 [size =\"21571584\"]\n  3 -> 27 [size =\"21571584\"]\n  3 -> 28 [size =\"21571584\"]\n  4 [size=\"23908352\", alpha=\"0.10\", expect_size=\"11954176\"] \n  4 -> 18 [size =\"11954176\"]\n  4 -> 20 [size =\"11954176\"]\n  4 -> 26 [size =\"11954176\"]\n  4 -> 27 [size =\"11954176\"]\n  4 -> 28 [size =\"11954176\"]\n  4 -> 30 [size =\"11954176\"]\n  5 [size=\"36055040\", alpha=\"0.07\", expect_size=\"18027520\"] \n  5 -> 17 [size =\"18027520\"]\n  5 -> 18 [size =\"18027520\"]\n  5 -> 19 [size =\"18027520\"]\n  5 -> 21 [size =\"18027520\"]\n  5 -> 23 [size =\"18027520\"]\n  5 -> 26 [size =\"18027520\"]\n  5 -> 28 [size =\"18027520\"]\n  5 -> 30 [size =\"18027520\"]\n  6 [size=\"29714432\", alpha=\"0.16\", expect_size=\"14857216\"] \n  6 -> 17 [size =\"14857216\"]\n  6 -> 18 [size =\"14857216\"]\n  6 -> 19 [size =\"14857216\"]\n  6 -> 20 [size =\"14857216\"]\n  6 -> 24 [size =\"14857216\"]\n  6 -> 26 [size =\"14857216\"]\n  6 -> 27 [size =\"14857216\"]\n  6 -> 28 [size =\"14857216\"]\n  6 -> 30 [size =\"14857216\"]\n  7 [size=\"52750336\", alpha=\"0.18\", expect_size=\"26375168\"] \n  7 -> 17 [size =\"26375168\"]\n  7 -> 22 [size =\"26375168\"]\n  7 -> 25 [size =\"26375168\"]\n  7 -> 26 [size =\"26375168\"]\n  7 -> 28 [size =\"26375168\"]\n  8 [size=\"66121728\", alpha=\"0.18\", expect_size=\"33060864\"] \n  8 -> 21 [size =\"33060864\"]\n  8 -> 22 [size =\"33060864\"]\n  8 -> 28 [size =\"33060864\"]\n  9 [size=\"44660736\", alpha=\"0.15\", expect_size=\"22330368\"] \n  9 -> 17 [size =\"22330368\"]\n  9 -> 21 [size =\"22330368\"]\n  9 -> 22 [size =\"22330368\"]\n  9 -> 28 [size =\"22330368\"]\n  10 [size=\"55220224\", alpha=\"0.00\", expect_size=\"27610112\"] \n  10 -> 18 [size =\"27610112\"]\n  10 -> 22 [size =\"27610112\"]\n  11 [size=\"83943424\", alpha=\"0.11\", expect_size=\"41971712\"] \n  11 -> 19 [size =\"41971712\"]\n  11 -> 25 [size =\"41971712\"]\n  11 -> 28 [size =\"41971712\"]\n  12 [size=\"26685440\", alpha=\"0.13\", expect_size=\"13342720\"] \n  12 -> 17 [size =\"13342720\"]\n  12 -> 18 [size =\"13342720\"]\n  12 -> 20 [size =\"13342720\"]\n  12 -> 25 [size =\"13342720\"]\n  13 [size=\"39745536\", alpha=\"0.19\", expect_size=\"19872768\"] \n  13 -> 17 [size =\"19872768\"]\n  13 -> 18 [size =\"19872768\"]\n  13 -> 27 [size =\"19872768\"]\n  14 [size=\"60856320\", alpha=\"0.18\", expect_size=\"30428160\"] \n  14 -> 17 [size =\"30428160\"]\n  14 -> 18 [size =\"30428160\"]\n  14 -> 22 [size =\"30428160\"]\n  14 -> 23 [size =\"30428160\"]\n  14 -> 27 [size =\"30428160\"]\n  14 -> 28 [size =\"30428160\"]\n  15 [size=\"13232128\", alpha=\"0.03\", expect_size=\"6616064\"] \n  15 -> 17 [size =\"6616064\"]\n  15 -> 18 [size =\"6616064\"]\n  15 -> 20 [size =\"6616064\"]\n  15 -> 22 [size =\"6616064\"]\n  15 -> 27 [size =\"6616064\"]\n  15 -> 29 [size =\"6616064\"]\n  16 [size=\"47912960\", alpha=\"0.06\", expect_size=\"23956480\"] \n  16 -> 17 [size =\"23956480\"]\n  16 -> 18 [size =\"23956480\"]\n  16 -> 19 [size =\"23956480\"]\n  16 -> 26 [size =\"23956480\"]\n  16 -> 27 [size =\"23956480\"]\n  17 [size=\"27795456\", alpha=\"0.09\", expect_size=\"13897728\"] \n  18 [size=\"18622464\", alpha=\"0.10\", expect_size=\"9311232\"] \n  19 [size=\"103759872\", alpha=\"0.16\", expect_size=\"51879936\"] \n  20 [size=\"79292416\", alpha=\"0.00\", expect_size=\"39646208\"] \n  21 [size=\"80705536\", alpha=\"0.19\", expect_size=\"40352768\"] \n  22 [size=\"37994496\", alpha=\"0.20\", expect_size=\"18997248\"] \n  23 [size=\"101076992\", alpha=\"0.07\", expect_size=\"50538496\"] \n  24 [size=\"96090112\", alpha=\"0.17\", expect_size=\"48045056\"] \n  25 [size=\"85452800\", alpha=\"0.13\", expect_size=\"42726400\"] \n  26 [size=\"97415168\", alpha=\"0.12\", expect_size=\"48707584\"] \n  27 [size=\"30715904\", alpha=\"0.01\", expect_size=\"15357952\"] \n  28 [size=\"74246144\", alpha=\"0.01\", expect_size=\"37123072\"] \n  29 [size=\"24991744\", alpha=\"0.09\", expect_size=\"12495872\"] \n  30 [size=\"102397952\", alpha=\"0.06\", expect_size=\"51198976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89135787\", alpha=\"0.04\", expect_size=\"26740736\"] \n  1 -> 2 [size =\"26740736\"]\n  2 [size=\"97706667\", alpha=\"0.04\", expect_size=\"29312000\"] \n  2 -> 3 [size =\"29312000\"]\n  3 [size=\"85896533\", alpha=\"0.13\", expect_size=\"25768960\"] \n  3 -> 4 [size =\"25768960\"]\n  4 [size=\"116374187\", alpha=\"0.09\", expect_size=\"34912256\"] \n  4 -> 5 [size =\"34912256\"]\n  5 [size=\"58361173\", alpha=\"0.15\", expect_size=\"17508352\"] \n  5 -> 6 [size =\"17508352\"]\n  6 [size=\"17698133\", alpha=\"0.05\", expect_size=\"5309440\"] \n  6 -> 7 [size =\"5309440\"]\n  7 [size=\"145769813\", alpha=\"0.00\", expect_size=\"43730944\"] \n  7 -> 8 [size =\"43730944\"]\n  8 [size=\"131874133\", alpha=\"0.03\", expect_size=\"39562240\"] \n  8 -> 9 [size =\"39562240\"]\n  9 [size=\"29870080\", alpha=\"0.20\", expect_size=\"8961024\"] \n  9 -> 10 [size =\"8961024\"]\n  10 [size=\"55439360\", alpha=\"0.17\", expect_size=\"16631808\"] \n  10 -> 11 [size =\"16631808\"]\n  11 [size=\"119429120\", alpha=\"0.12\", expect_size=\"35828736\"] \n  11 -> 12 [size =\"35828736\"]\n  12 [size=\"150729387\", alpha=\"0.17\", expect_size=\"45218816\"] \n  12 -> 13 [size =\"45218816\"]\n  13 [size=\"26101760\", alpha=\"0.18\", expect_size=\"7830528\"] \n  13 -> 14 [size =\"7830528\"]\n  14 [size=\"125105493\", alpha=\"0.05\", expect_size=\"37531648\"] \n  14 -> 15 [size =\"37531648\"]\n  15 [size=\"34802347\", alpha=\"0.09\", expect_size=\"10440704\"] \n  15 -> 16 [size =\"10440704\"]\n  16 [size=\"152903680\", alpha=\"0.13\", expect_size=\"45871104\"] \n  16 -> 17 [size =\"45871104\"]\n  17 [size=\"31907840\", alpha=\"0.05\", expect_size=\"9572352\"] \n  17 -> 18 [size =\"9572352\"]\n  18 [size=\"34402987\", alpha=\"0.17\", expect_size=\"10320896\"] \n  18 -> 19 [size =\"10320896\"]\n  19 [size=\"60866560\", alpha=\"0.08\", expect_size=\"18259968\"] \n  19 -> 20 [size =\"18259968\"]\n  20 [size=\"58565973\", alpha=\"0.10\", expect_size=\"17569792\"] \n  20 -> 21 [size =\"17569792\"]\n  21 [size=\"31532373\", alpha=\"0.01\", expect_size=\"9459712\"] \n  21 -> 22 [size =\"9459712\"]\n  22 [size=\"126607360\", alpha=\"0.02\", expect_size=\"37982208\"] \n  22 -> 23 [size =\"37982208\"]\n  23 [size=\"102188373\", alpha=\"0.13\", expect_size=\"30656512\"] \n  23 -> 24 [size =\"30656512\"]\n  24 [size=\"84121600\", alpha=\"0.15\", expect_size=\"25236480\"] \n  24 -> 25 [size =\"25236480\"]\n  25 [size=\"119954773\", alpha=\"0.03\", expect_size=\"35986432\"] \n  25 -> 26 [size =\"35986432\"]\n  26 [size=\"31423147\", alpha=\"0.11\", expect_size=\"9426944\"] \n  26 -> 27 [size =\"9426944\"]\n  27 [size=\"136181760\", alpha=\"0.15\", expect_size=\"40854528\"] \n  27 -> 28 [size =\"40854528\"]\n  28 [size=\"17855147\", alpha=\"0.14\", expect_size=\"5356544\"] \n  28 -> 29 [size =\"5356544\"]\n  29 [size=\"152364373\", alpha=\"0.14\", expect_size=\"45709312\"] \n  29 -> 30 [size =\"45709312\"]\n  30 [size=\"57354240\", alpha=\"0.19\", expect_size=\"17206272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91059200\", alpha=\"0.18\", expect_size=\"36423680\"] \n  2 [size=\"115481600\", alpha=\"0.10\", expect_size=\"46192640\"] \n  2 -> 25 [size =\"46192640\"]\n  2 -> 27 [size =\"46192640\"]\n  2 -> 30 [size =\"46192640\"]\n  3 [size=\"49241600\", alpha=\"0.16\", expect_size=\"19696640\"] \n  3 -> 25 [size =\"19696640\"]\n  3 -> 30 [size =\"19696640\"]\n  4 [size=\"125987840\", alpha=\"0.09\", expect_size=\"50395136\"] \n  4 -> 25 [size =\"50395136\"]\n  4 -> 26 [size =\"50395136\"]\n  4 -> 27 [size =\"50395136\"]\n  5 [size=\"98872320\", alpha=\"0.07\", expect_size=\"39548928\"] \n  5 -> 25 [size =\"39548928\"]\n  5 -> 29 [size =\"39548928\"]\n  6 [size=\"53882880\", alpha=\"0.12\", expect_size=\"21553152\"] \n  6 -> 27 [size =\"21553152\"]\n  6 -> 29 [size =\"21553152\"]\n  7 [size=\"79150080\", alpha=\"0.11\", expect_size=\"31660032\"] \n  7 -> 25 [size =\"31660032\"]\n  7 -> 27 [size =\"31660032\"]\n  8 [size=\"24660480\", alpha=\"0.16\", expect_size=\"9864192\"] \n  8 -> 29 [size =\"9864192\"]\n  9 [size=\"23390720\", alpha=\"0.11\", expect_size=\"9356288\"] \n  9 -> 30 [size =\"9356288\"]\n  10 [size=\"17894400\", alpha=\"0.04\", expect_size=\"7157760\"] \n  10 -> 25 [size =\"7157760\"]\n  10 -> 30 [size =\"7157760\"]\n  11 [size=\"90977280\", alpha=\"0.06\", expect_size=\"36390912\"] \n  11 -> 30 [size =\"36390912\"]\n  12 [size=\"76592640\", alpha=\"0.06\", expect_size=\"30637056\"] \n  12 -> 27 [size =\"30637056\"]\n  12 -> 29 [size =\"30637056\"]\n  13 [size=\"19205120\", alpha=\"0.06\", expect_size=\"7682048\"] \n  13 -> 27 [size =\"7682048\"]\n  14 [size=\"115614720\", alpha=\"0.19\", expect_size=\"46245888\"] \n  14 -> 26 [size =\"46245888\"]\n  15 [size=\"48468480\", alpha=\"0.18\", expect_size=\"19387392\"] \n  15 -> 26 [size =\"19387392\"]\n  16 [size=\"89256960\", alpha=\"0.13\", expect_size=\"35702784\"] \n  16 -> 29 [size =\"35702784\"]\n  17 [size=\"43481600\", alpha=\"0.16\", expect_size=\"17392640\"] \n  18 [size=\"109742080\", alpha=\"0.13\", expect_size=\"43896832\"] \n  18 -> 27 [size =\"43896832\"]\n  19 [size=\"83801600\", alpha=\"0.13\", expect_size=\"33520640\"] \n  19 -> 25 [size =\"33520640\"]\n  19 -> 26 [size =\"33520640\"]\n  19 -> 30 [size =\"33520640\"]\n  20 [size=\"28697600\", alpha=\"0.06\", expect_size=\"11479040\"] \n  21 [size=\"50403840\", alpha=\"0.13\", expect_size=\"20161536\"] \n  21 -> 26 [size =\"20161536\"]\n  21 -> 27 [size =\"20161536\"]\n  21 -> 29 [size =\"20161536\"]\n  22 [size=\"84505600\", alpha=\"0.18\", expect_size=\"33802240\"] \n  22 -> 26 [size =\"33802240\"]\n  22 -> 29 [size =\"33802240\"]\n  23 [size=\"121346560\", alpha=\"0.08\", expect_size=\"48538624\"] \n  23 -> 30 [size =\"48538624\"]\n  24 [size=\"37027840\", alpha=\"0.18\", expect_size=\"14811136\"] \n  24 -> 28 [size =\"14811136\"]\n  24 -> 30 [size =\"14811136\"]\n  25 [size=\"31836160\", alpha=\"0.02\", expect_size=\"12734464\"] \n  26 [size=\"19648000\", alpha=\"0.14\", expect_size=\"7859200\"] \n  27 [size=\"94927360\", alpha=\"0.16\", expect_size=\"37970944\"] \n  28 [size=\"68418560\", alpha=\"0.00\", expect_size=\"27367424\"] \n  29 [size=\"29629440\", alpha=\"0.06\", expect_size=\"11851776\"] \n  30 [size=\"103705600\", alpha=\"0.13\", expect_size=\"41482240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36963840\", alpha=\"0.09\", expect_size=\"14785536\"] \n  1 -> 3 [size =\"14785536\"]\n  2 [size=\"111923200\", alpha=\"0.15\", expect_size=\"44769280\"] \n  2 -> 3 [size =\"44769280\"]\n  3 [size=\"72573440\", alpha=\"0.14\", expect_size=\"29029376\"] \n  3 -> 4 [size =\"29029376\"]\n  3 -> 5 [size =\"29029376\"]\n  4 [size=\"32642560\", alpha=\"0.12\", expect_size=\"13057024\"] \n  4 -> 6 [size =\"13057024\"]\n  4 -> 7 [size =\"13057024\"]\n  5 [size=\"85222400\", alpha=\"0.07\", expect_size=\"34088960\"] \n  5 -> 7 [size =\"34088960\"]\n  6 [size=\"55290880\", alpha=\"0.12\", expect_size=\"22116352\"] \n  6 -> 8 [size =\"22116352\"]\n  6 -> 9 [size =\"22116352\"]\n  7 [size=\"67545600\", alpha=\"0.14\", expect_size=\"27018240\"] \n  7 -> 8 [size =\"27018240\"]\n  7 -> 9 [size =\"27018240\"]\n  8 [size=\"48279040\", alpha=\"0.04\", expect_size=\"19311616\"] \n  8 -> 10 [size =\"19311616\"]\n  8 -> 11 [size =\"19311616\"]\n  9 [size=\"52413440\", alpha=\"0.01\", expect_size=\"20965376\"] \n  9 -> 10 [size =\"20965376\"]\n  10 [size=\"77181440\", alpha=\"0.14\", expect_size=\"30872576\"] \n  10 -> 12 [size =\"30872576\"]\n  11 [size=\"69736960\", alpha=\"0.09\", expect_size=\"27894784\"] \n  11 -> 12 [size =\"27894784\"]\n  12 [size=\"125053440\", alpha=\"0.16\", expect_size=\"50021376\"] \n  12 -> 13 [size =\"50021376\"]\n  13 [size=\"94458880\", alpha=\"0.02\", expect_size=\"37783552\"] \n  13 -> 14 [size =\"37783552\"]\n  14 [size=\"61455360\", alpha=\"0.01\", expect_size=\"24582144\"] \n  14 -> 15 [size =\"24582144\"]\n  15 [size=\"130854400\", alpha=\"0.15\", expect_size=\"52341760\"] \n  15 -> 16 [size =\"52341760\"]\n  15 -> 17 [size =\"52341760\"]\n  16 [size=\"52267520\", alpha=\"0.05\", expect_size=\"20907008\"] \n  16 -> 18 [size =\"20907008\"]\n  16 -> 19 [size =\"20907008\"]\n  17 [size=\"120583680\", alpha=\"0.03\", expect_size=\"48233472\"] \n  17 -> 19 [size =\"48233472\"]\n  18 [size=\"87710720\", alpha=\"0.17\", expect_size=\"35084288\"] \n  18 -> 20 [size =\"35084288\"]\n  19 [size=\"110643200\", alpha=\"0.04\", expect_size=\"44257280\"] \n  19 -> 20 [size =\"44257280\"]\n  20 [size=\"116992000\", alpha=\"0.20\", expect_size=\"46796800\"] \n  20 -> 21 [size =\"46796800\"]\n  21 [size=\"79347200\", alpha=\"0.19\", expect_size=\"31738880\"] \n  21 -> 22 [size =\"31738880\"]\n  21 -> 23 [size =\"31738880\"]\n  22 [size=\"129502720\", alpha=\"0.15\", expect_size=\"51801088\"] \n  22 -> 24 [size =\"51801088\"]\n  22 -> 25 [size =\"51801088\"]\n  23 [size=\"103367680\", alpha=\"0.02\", expect_size=\"41347072\"] \n  23 -> 24 [size =\"41347072\"]\n  24 [size=\"117962240\", alpha=\"0.11\", expect_size=\"47184896\"] \n  24 -> 26 [size =\"47184896\"]\n  25 [size=\"123289600\", alpha=\"0.13\", expect_size=\"49315840\"] \n  25 -> 26 [size =\"49315840\"]\n  26 [size=\"91622400\", alpha=\"0.02\", expect_size=\"36648960\"] \n  26 -> 27 [size =\"36648960\"]\n  27 [size=\"118300160\", alpha=\"0.00\", expect_size=\"47320064\"] \n  27 -> 28 [size =\"47320064\"]\n  27 -> 29 [size =\"47320064\"]\n  28 [size=\"16437760\", alpha=\"0.04\", expect_size=\"6575104\"] \n  29 [size=\"113853440\", alpha=\"0.15\", expect_size=\"45541376\"] \n  29 -> 30 [size =\"45541376\"]\n  30 [size=\"22243840\", alpha=\"0.17\", expect_size=\"8897536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71577600\", alpha=\"0.17\", expect_size=\"21473280\"] \n  1 -> 2 [size =\"21473280\"]\n  1 -> 3 [size =\"21473280\"]\n  2 [size=\"29436587\", alpha=\"0.04\", expect_size=\"8830976\"] \n  2 -> 4 [size =\"8830976\"]\n  3 [size=\"83329707\", alpha=\"0.08\", expect_size=\"24998912\"] \n  3 -> 4 [size =\"24998912\"]\n  3 -> 5 [size =\"24998912\"]\n  4 [size=\"141271040\", alpha=\"0.10\", expect_size=\"42381312\"] \n  4 -> 6 [size =\"42381312\"]\n  5 [size=\"105147733\", alpha=\"0.17\", expect_size=\"31544320\"] \n  6 [size=\"44206080\", alpha=\"0.17\", expect_size=\"13261824\"] \n  6 -> 7 [size =\"13261824\"]\n  6 -> 8 [size =\"13261824\"]\n  7 [size=\"153026560\", alpha=\"0.03\", expect_size=\"45907968\"] \n  7 -> 10 [size =\"45907968\"]\n  8 [size=\"51302400\", alpha=\"0.09\", expect_size=\"15390720\"] \n  8 -> 9 [size =\"15390720\"]\n  8 -> 10 [size =\"15390720\"]\n  9 [size=\"151326720\", alpha=\"0.14\", expect_size=\"45398016\"] \n  9 -> 12 [size =\"45398016\"]\n  10 [size=\"162372267\", alpha=\"0.14\", expect_size=\"48711680\"] \n  10 -> 11 [size =\"48711680\"]\n  10 -> 12 [size =\"48711680\"]\n  11 [size=\"45564587\", alpha=\"0.11\", expect_size=\"13669376\"] \n  11 -> 13 [size =\"13669376\"]\n  12 [size=\"25289387\", alpha=\"0.18\", expect_size=\"7586816\"] \n  12 -> 14 [size =\"7586816\"]\n  13 [size=\"56046933\", alpha=\"0.12\", expect_size=\"16814080\"] \n  13 -> 15 [size =\"16814080\"]\n  13 -> 16 [size =\"16814080\"]\n  14 [size=\"119176533\", alpha=\"0.06\", expect_size=\"35752960\"] \n  14 -> 16 [size =\"35752960\"]\n  15 [size=\"38335147\", alpha=\"0.16\", expect_size=\"11500544\"] \n  15 -> 17 [size =\"11500544\"]\n  16 [size=\"18135040\", alpha=\"0.01\", expect_size=\"5440512\"] \n  17 [size=\"150077440\", alpha=\"0.17\", expect_size=\"45023232\"] \n  17 -> 18 [size =\"45023232\"]\n  18 [size=\"173735253\", alpha=\"0.05\", expect_size=\"52120576\"] \n  18 -> 19 [size =\"52120576\"]\n  18 -> 20 [size =\"52120576\"]\n  19 [size=\"83483307\", alpha=\"0.17\", expect_size=\"25044992\"] \n  19 -> 21 [size =\"25044992\"]\n  20 [size=\"37089280\", alpha=\"0.07\", expect_size=\"11126784\"] \n  20 -> 21 [size =\"11126784\"]\n  21 [size=\"150155947\", alpha=\"0.04\", expect_size=\"45046784\"] \n  21 -> 22 [size =\"45046784\"]\n  21 -> 23 [size =\"45046784\"]\n  22 [size=\"82851840\", alpha=\"0.02\", expect_size=\"24855552\"] \n  23 [size=\"64768000\", alpha=\"0.08\", expect_size=\"19430400\"] \n  23 -> 24 [size =\"19430400\"]\n  24 [size=\"162563413\", alpha=\"0.11\", expect_size=\"48769024\"] \n  24 -> 25 [size =\"48769024\"]\n  25 [size=\"48612693\", alpha=\"0.04\", expect_size=\"14583808\"] \n  25 -> 26 [size =\"14583808\"]\n  26 [size=\"174312107\", alpha=\"0.01\", expect_size=\"52293632\"] \n  26 -> 27 [size =\"52293632\"]\n  26 -> 28 [size =\"52293632\"]\n  27 [size=\"28361387\", alpha=\"0.15\", expect_size=\"8508416\"] \n  27 -> 29 [size =\"8508416\"]\n  28 [size=\"165324800\", alpha=\"0.13\", expect_size=\"49597440\"] \n  29 [size=\"50667520\", alpha=\"0.09\", expect_size=\"15200256\"] \n  29 -> 30 [size =\"15200256\"]\n  30 [size=\"28822187\", alpha=\"0.03\", expect_size=\"8646656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28198400\", alpha=\"0.18\", expect_size=\"11279360\"] \n  2 [size=\"128176640\", alpha=\"0.15\", expect_size=\"51270656\"] \n  2 -> 24 [size =\"51270656\"]\n  2 -> 28 [size =\"51270656\"]\n  3 [size=\"78177280\", alpha=\"0.15\", expect_size=\"31270912\"] \n  3 -> 24 [size =\"31270912\"]\n  3 -> 26 [size =\"31270912\"]\n  3 -> 28 [size =\"31270912\"]\n  3 -> 30 [size =\"31270912\"]\n  4 [size=\"110735360\", alpha=\"0.19\", expect_size=\"44294144\"] \n  4 -> 21 [size =\"44294144\"]\n  4 -> 24 [size =\"44294144\"]\n  4 -> 30 [size =\"44294144\"]\n  5 [size=\"38932480\", alpha=\"0.18\", expect_size=\"15572992\"] \n  5 -> 21 [size =\"15572992\"]\n  5 -> 23 [size =\"15572992\"]\n  5 -> 28 [size =\"15572992\"]\n  5 -> 29 [size =\"15572992\"]\n  6 [size=\"64542720\", alpha=\"0.10\", expect_size=\"25817088\"] \n  6 -> 21 [size =\"25817088\"]\n  6 -> 23 [size =\"25817088\"]\n  6 -> 25 [size =\"25817088\"]\n  7 [size=\"120609280\", alpha=\"0.16\", expect_size=\"48243712\"] \n  7 -> 24 [size =\"48243712\"]\n  7 -> 26 [size =\"48243712\"]\n  8 [size=\"27888640\", alpha=\"0.09\", expect_size=\"11155456\"] \n  8 -> 26 [size =\"11155456\"]\n  9 [size=\"95631360\", alpha=\"0.01\", expect_size=\"38252544\"] \n  9 -> 25 [size =\"38252544\"]\n  9 -> 26 [size =\"38252544\"]\n  9 -> 28 [size =\"38252544\"]\n  10 [size=\"102254080\", alpha=\"0.09\", expect_size=\"40901632\"] \n  10 -> 21 [size =\"40901632\"]\n  10 -> 26 [size =\"40901632\"]\n  10 -> 27 [size =\"40901632\"]\n  10 -> 30 [size =\"40901632\"]\n  11 [size=\"117422080\", alpha=\"0.07\", expect_size=\"46968832\"] \n  11 -> 21 [size =\"46968832\"]\n  11 -> 22 [size =\"46968832\"]\n  11 -> 23 [size =\"46968832\"]\n  11 -> 24 [size =\"46968832\"]\n  11 -> 25 [size =\"46968832\"]\n  11 -> 30 [size =\"46968832\"]\n  12 [size=\"102814720\", alpha=\"0.11\", expect_size=\"41125888\"] \n  12 -> 22 [size =\"41125888\"]\n  12 -> 26 [size =\"41125888\"]\n  13 [size=\"74498560\", alpha=\"0.03\", expect_size=\"29799424\"] \n  13 -> 24 [size =\"29799424\"]\n  13 -> 25 [size =\"29799424\"]\n  13 -> 30 [size =\"29799424\"]\n  14 [size=\"47073280\", alpha=\"0.12\", expect_size=\"18829312\"] \n  14 -> 21 [size =\"18829312\"]\n  14 -> 24 [size =\"18829312\"]\n  15 [size=\"43755520\", alpha=\"0.01\", expect_size=\"17502208\"] \n  15 -> 21 [size =\"17502208\"]\n  15 -> 24 [size =\"17502208\"]\n  15 -> 26 [size =\"17502208\"]\n  15 -> 29 [size =\"17502208\"]\n  16 [size=\"29834240\", alpha=\"0.14\", expect_size=\"11933696\"] \n  16 -> 21 [size =\"11933696\"]\n  16 -> 26 [size =\"11933696\"]\n  16 -> 26 [size =\"11933696\"]\n  16 -> 28 [size =\"11933696\"]\n  17 [size=\"89210880\", alpha=\"0.03\", expect_size=\"35684352\"] \n  17 -> 21 [size =\"35684352\"]\n  17 -> 23 [size =\"35684352\"]\n  17 -> 25 [size =\"35684352\"]\n  18 [size=\"65185280\", alpha=\"0.13\", expect_size=\"26074112\"] \n  18 -> 21 [size =\"26074112\"]\n  18 -> 25 [size =\"26074112\"]\n  18 -> 30 [size =\"26074112\"]\n  19 [size=\"116664320\", alpha=\"0.14\", expect_size=\"46665728\"] \n  19 -> 21 [size =\"46665728\"]\n  19 -> 22 [size =\"46665728\"]\n  19 -> 26 [size =\"46665728\"]\n  19 -> 30 [size =\"46665728\"]\n  20 [size=\"120793600\", alpha=\"0.17\", expect_size=\"48317440\"] \n  20 -> 22 [size =\"48317440\"]\n  20 -> 30 [size =\"48317440\"]\n  21 [size=\"53504000\", alpha=\"0.03\", expect_size=\"21401600\"] \n  22 [size=\"92037120\", alpha=\"0.08\", expect_size=\"36814848\"] \n  23 [size=\"41228800\", alpha=\"0.04\", expect_size=\"16491520\"] \n  24 [size=\"61452800\", alpha=\"0.17\", expect_size=\"24581120\"] \n  25 [size=\"129446400\", alpha=\"0.14\", expect_size=\"51778560\"] \n  26 [size=\"16304640\", alpha=\"0.20\", expect_size=\"6521856\"] \n  27 [size=\"97134080\", alpha=\"0.04\", expect_size=\"38853632\"] \n  28 [size=\"116336640\", alpha=\"0.11\", expect_size=\"46534656\"] \n  29 [size=\"72816640\", alpha=\"0.11\", expect_size=\"29126656\"] \n  30 [size=\"35445760\", alpha=\"0.07\", expect_size=\"14178304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85039104\", alpha=\"0.20\", expect_size=\"42519552\"] \n  1 -> 6 [size =\"42519552\"]\n  1 -> 7 [size =\"42519552\"]\n  1 -> 9 [size =\"42519552\"]\n  2 [size=\"46499840\", alpha=\"0.12\", expect_size=\"23249920\"] \n  2 -> 7 [size =\"23249920\"]\n  2 -> 8 [size =\"23249920\"]\n  3 [size=\"34123776\", alpha=\"0.04\", expect_size=\"17061888\"] \n  3 -> 5 [size =\"17061888\"]\n  3 -> 6 [size =\"17061888\"]\n  4 [size=\"52602880\", alpha=\"0.08\", expect_size=\"26301440\"] \n  4 -> 5 [size =\"26301440\"]\n  4 -> 6 [size =\"26301440\"]\n  4 -> 8 [size =\"26301440\"]\n  5 [size=\"19556352\", alpha=\"0.20\", expect_size=\"9778176\"] \n  5 -> 11 [size =\"9778176\"]\n  5 -> 13 [size =\"9778176\"]\n  5 -> 14 [size =\"9778176\"]\n  6 [size=\"38273024\", alpha=\"0.06\", expect_size=\"19136512\"] \n  6 -> 10 [size =\"19136512\"]\n  6 -> 11 [size =\"19136512\"]\n  7 [size=\"27004928\", alpha=\"0.03\", expect_size=\"13502464\"] \n  7 -> 10 [size =\"13502464\"]\n  7 -> 11 [size =\"13502464\"]\n  7 -> 13 [size =\"13502464\"]\n  8 [size=\"68153344\", alpha=\"0.18\", expect_size=\"34076672\"] \n  8 -> 12 [size =\"34076672\"]\n  9 [size=\"97021952\", alpha=\"0.18\", expect_size=\"48510976\"] \n  9 -> 10 [size =\"48510976\"]\n  9 -> 11 [size =\"48510976\"]\n  10 [size=\"99964928\", alpha=\"0.02\", expect_size=\"49982464\"] \n  10 -> 16 [size =\"49982464\"]\n  10 -> 17 [size =\"49982464\"]\n  11 [size=\"71268352\", alpha=\"0.05\", expect_size=\"35634176\"] \n  11 -> 15 [size =\"35634176\"]\n  12 [size=\"70219776\", alpha=\"0.14\", expect_size=\"35109888\"] \n  12 -> 18 [size =\"35109888\"]\n  13 [size=\"31354880\", alpha=\"0.07\", expect_size=\"15677440\"] \n  13 -> 16 [size =\"15677440\"]\n  13 -> 18 [size =\"15677440\"]\n  14 [size=\"51177472\", alpha=\"0.16\", expect_size=\"25588736\"] \n  14 -> 17 [size =\"25588736\"]\n  14 -> 18 [size =\"25588736\"]\n  15 [size=\"90335232\", alpha=\"0.06\", expect_size=\"45167616\"] \n  15 -> 19 [size =\"45167616\"]\n  15 -> 21 [size =\"45167616\"]\n  15 -> 23 [size =\"45167616\"]\n  16 [size=\"88416256\", alpha=\"0.03\", expect_size=\"44208128\"] \n  16 -> 20 [size =\"44208128\"]\n  16 -> 22 [size =\"44208128\"]\n  16 -> 23 [size =\"44208128\"]\n  17 [size=\"21800960\", alpha=\"0.01\", expect_size=\"10900480\"] \n  17 -> 19 [size =\"10900480\"]\n  17 -> 20 [size =\"10900480\"]\n  17 -> 22 [size =\"10900480\"]\n  18 [size=\"36386816\", alpha=\"0.10\", expect_size=\"18193408\"] \n  18 -> 19 [size =\"18193408\"]\n  18 -> 21 [size =\"18193408\"]\n  19 [size=\"28692480\", alpha=\"0.11\", expect_size=\"14346240\"] \n  20 [size=\"19314688\", alpha=\"0.11\", expect_size=\"9657344\"] \n  21 [size=\"28741632\", alpha=\"0.08\", expect_size=\"14370816\"] \n  21 -> 24 [size =\"14370816\"]\n  21 -> 26 [size =\"14370816\"]\n  21 -> 27 [size =\"14370816\"]\n  22 [size=\"52033536\", alpha=\"0.12\", expect_size=\"26016768\"] \n  23 [size=\"22235136\", alpha=\"0.01\", expect_size=\"11117568\"] \n  23 -> 24 [size =\"11117568\"]\n  23 -> 25 [size =\"11117568\"]\n  23 -> 27 [size =\"11117568\"]\n  24 [size=\"57313280\", alpha=\"0.20\", expect_size=\"28656640\"] \n  24 -> 29 [size =\"28656640\"]\n  25 [size=\"39927808\", alpha=\"0.20\", expect_size=\"19963904\"] \n  25 -> 28 [size =\"19963904\"]\n  25 -> 29 [size =\"19963904\"]\n  26 [size=\"70590464\", alpha=\"0.06\", expect_size=\"35295232\"] \n  26 -> 30 [size =\"35295232\"]\n  27 [size=\"86388736\", alpha=\"0.15\", expect_size=\"43194368\"] \n  27 -> 29 [size =\"43194368\"]\n  28 [size=\"89624576\", alpha=\"0.17\", expect_size=\"44812288\"] \n  29 [size=\"40812544\", alpha=\"0.17\", expect_size=\"20406272\"] \n  30 [size=\"91183104\", alpha=\"0.16\", expect_size=\"45591552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18180096\", alpha=\"0.07\", expect_size=\"9090048\"] \n  1 -> 24 [size =\"9090048\"]\n  1 -> 27 [size =\"9090048\"]\n  1 -> 29 [size =\"9090048\"]\n  1 -> 30 [size =\"9090048\"]\n  2 [size=\"70291456\", alpha=\"0.07\", expect_size=\"35145728\"] \n  2 -> 22 [size =\"35145728\"]\n  2 -> 24 [size =\"35145728\"]\n  2 -> 29 [size =\"35145728\"]\n  2 -> 30 [size =\"35145728\"]\n  3 [size=\"81190912\", alpha=\"0.18\", expect_size=\"40595456\"] \n  3 -> 23 [size =\"40595456\"]\n  3 -> 28 [size =\"40595456\"]\n  3 -> 30 [size =\"40595456\"]\n  4 [size=\"34140160\", alpha=\"0.07\", expect_size=\"17070080\"] \n  4 -> 22 [size =\"17070080\"]\n  4 -> 23 [size =\"17070080\"]\n  4 -> 25 [size =\"17070080\"]\n  4 -> 29 [size =\"17070080\"]\n  4 -> 30 [size =\"17070080\"]\n  5 [size=\"25393152\", alpha=\"0.06\", expect_size=\"12696576\"] \n  5 -> 27 [size =\"12696576\"]\n  5 -> 29 [size =\"12696576\"]\n  5 -> 30 [size =\"12696576\"]\n  6 [size=\"53637120\", alpha=\"0.18\", expect_size=\"26818560\"] \n  6 -> 24 [size =\"26818560\"]\n  6 -> 25 [size =\"26818560\"]\n  6 -> 30 [size =\"26818560\"]\n  7 [size=\"70449152\", alpha=\"0.14\", expect_size=\"35224576\"] \n  7 -> 23 [size =\"35224576\"]\n  7 -> 28 [size =\"35224576\"]\n  7 -> 29 [size =\"35224576\"]\n  8 [size=\"16392192\", alpha=\"0.02\", expect_size=\"8196096\"] \n  8 -> 23 [size =\"8196096\"]\n  8 -> 24 [size =\"8196096\"]\n  8 -> 29 [size =\"8196096\"]\n  9 [size=\"35008512\", alpha=\"0.05\", expect_size=\"17504256\"] \n  9 -> 22 [size =\"17504256\"]\n  9 -> 23 [size =\"17504256\"]\n  9 -> 24 [size =\"17504256\"]\n  9 -> 29 [size =\"17504256\"]\n  9 -> 30 [size =\"17504256\"]\n  10 [size=\"14680064\", alpha=\"0.16\", expect_size=\"7340032\"] \n  10 -> 22 [size =\"7340032\"]\n  10 -> 24 [size =\"7340032\"]\n  10 -> 28 [size =\"7340032\"]\n  10 -> 29 [size =\"7340032\"]\n  10 -> 30 [size =\"7340032\"]\n  11 [size=\"54552576\", alpha=\"0.19\", expect_size=\"27276288\"] \n  11 -> 22 [size =\"27276288\"]\n  11 -> 24 [size =\"27276288\"]\n  11 -> 28 [size =\"27276288\"]\n  11 -> 29 [size =\"27276288\"]\n  11 -> 30 [size =\"27276288\"]\n  12 [size=\"87433216\", alpha=\"0.07\", expect_size=\"43716608\"] \n  12 -> 22 [size =\"43716608\"]\n  13 [size=\"28131328\", alpha=\"0.00\", expect_size=\"14065664\"] \n  13 -> 22 [size =\"14065664\"]\n  13 -> 24 [size =\"14065664\"]\n  13 -> 27 [size =\"14065664\"]\n  14 [size=\"17813504\", alpha=\"0.18\", expect_size=\"8906752\"] \n  14 -> 22 [size =\"8906752\"]\n  14 -> 23 [size =\"8906752\"]\n  14 -> 24 [size =\"8906752\"]\n  14 -> 25 [size =\"8906752\"]\n  14 -> 29 [size =\"8906752\"]\n  14 -> 30 [size =\"8906752\"]\n  15 [size=\"50132992\", alpha=\"0.10\", expect_size=\"25066496\"] \n  15 -> 22 [size =\"25066496\"]\n  15 -> 24 [size =\"25066496\"]\n  15 -> 24 [size =\"25066496\"]\n  15 -> 28 [size =\"25066496\"]\n  15 -> 29 [size =\"25066496\"]\n  16 [size=\"78069760\", alpha=\"0.06\", expect_size=\"39034880\"] \n  16 -> 23 [size =\"39034880\"]\n  16 -> 29 [size =\"39034880\"]\n  16 -> 30 [size =\"39034880\"]\n  17 [size=\"69015552\", alpha=\"0.18\", expect_size=\"34507776\"] \n  17 -> 22 [size =\"34507776\"]\n  17 -> 23 [size =\"34507776\"]\n  17 -> 29 [size =\"34507776\"]\n  17 -> 30 [size =\"34507776\"]\n  18 [size=\"38975488\", alpha=\"0.12\", expect_size=\"19487744\"] \n  18 -> 22 [size =\"19487744\"]\n  18 -> 29 [size =\"19487744\"]\n  18 -> 30 [size =\"19487744\"]\n  18 -> 30 [size =\"19487744\"]\n  19 [size=\"49563648\", alpha=\"0.13\", expect_size=\"24781824\"] \n  19 -> 22 [size =\"24781824\"]\n  19 -> 26 [size =\"24781824\"]\n  19 -> 30 [size =\"24781824\"]\n  20 [size=\"75139072\", alpha=\"0.15\", expect_size=\"37569536\"] \n  20 -> 22 [size =\"37569536\"]\n  20 -> 24 [size =\"37569536\"]\n  20 -> 29 [size =\"37569536\"]\n  21 [size=\"55252992\", alpha=\"0.19\", expect_size=\"27626496\"] \n  21 -> 24 [size =\"27626496\"]\n  21 -> 29 [size =\"27626496\"]\n  21 -> 30 [size =\"27626496\"]\n  22 [size=\"51054592\", alpha=\"0.16\", expect_size=\"25527296\"] \n  23 [size=\"85714944\", alpha=\"0.08\", expect_size=\"42857472\"] \n  24 [size=\"87429120\", alpha=\"0.05\", expect_size=\"43714560\"] \n  25 [size=\"78006272\", alpha=\"0.05\", expect_size=\"39003136\"] \n  26 [size=\"32604160\", alpha=\"0.14\", expect_size=\"16302080\"] \n  27 [size=\"61634560\", alpha=\"0.15\", expect_size=\"30817280\"] \n  28 [size=\"50358272\", alpha=\"0.18\", expect_size=\"25179136\"] \n  29 [size=\"14067712\", alpha=\"0.07\", expect_size=\"7033856\"] \n  30 [size=\"74346496\", alpha=\"0.16\", expect_size=\"37173248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91356160\", alpha=\"0.15\", expect_size=\"36542464\"] \n  1 -> 4 [size =\"36542464\"]\n  2 [size=\"91816960\", alpha=\"0.16\", expect_size=\"36726784\"] \n  2 -> 3 [size =\"36726784\"]\n  3 [size=\"93002240\", alpha=\"0.03\", expect_size=\"37200896\"] \n  3 -> 5 [size =\"37200896\"]\n  4 [size=\"118592000\", alpha=\"0.03\", expect_size=\"47436800\"] \n  4 -> 5 [size =\"47436800\"]\n  5 [size=\"52234240\", alpha=\"0.18\", expect_size=\"20893696\"] \n  5 -> 6 [size =\"20893696\"]\n  5 -> 7 [size =\"20893696\"]\n  6 [size=\"73753600\", alpha=\"0.12\", expect_size=\"29501440\"] \n  6 -> 8 [size =\"29501440\"]\n  6 -> 9 [size =\"29501440\"]\n  7 [size=\"82048000\", alpha=\"0.02\", expect_size=\"32819200\"] \n  7 -> 8 [size =\"32819200\"]\n  7 -> 9 [size =\"32819200\"]\n  8 [size=\"64867840\", alpha=\"0.10\", expect_size=\"25947136\"] \n  8 -> 10 [size =\"25947136\"]\n  9 [size=\"13877760\", alpha=\"0.08\", expect_size=\"5551104\"] \n  9 -> 10 [size =\"5551104\"]\n  10 [size=\"29629440\", alpha=\"0.01\", expect_size=\"11851776\"] \n  10 -> 11 [size =\"11851776\"]\n  10 -> 12 [size =\"11851776\"]\n  11 [size=\"26918400\", alpha=\"0.06\", expect_size=\"10767360\"] \n  11 -> 13 [size =\"10767360\"]\n  12 [size=\"117762560\", alpha=\"0.07\", expect_size=\"47105024\"] \n  13 [size=\"93386240\", alpha=\"0.19\", expect_size=\"37354496\"] \n  13 -> 14 [size =\"37354496\"]\n  13 -> 15 [size =\"37354496\"]\n  14 [size=\"112990720\", alpha=\"0.07\", expect_size=\"45196288\"] \n  14 -> 16 [size =\"45196288\"]\n  14 -> 17 [size =\"45196288\"]\n  15 [size=\"13539840\", alpha=\"0.11\", expect_size=\"5415936\"] \n  15 -> 16 [size =\"5415936\"]\n  15 -> 17 [size =\"5415936\"]\n  16 [size=\"120087040\", alpha=\"0.10\", expect_size=\"48034816\"] \n  17 [size=\"74885120\", alpha=\"0.02\", expect_size=\"29954048\"] \n  17 -> 18 [size =\"29954048\"]\n  18 [size=\"83735040\", alpha=\"0.11\", expect_size=\"33494016\"] \n  18 -> 19 [size =\"33494016\"]\n  18 -> 20 [size =\"33494016\"]\n  19 [size=\"22448640\", alpha=\"0.13\", expect_size=\"8979456\"] \n  19 -> 21 [size =\"8979456\"]\n  19 -> 22 [size =\"8979456\"]\n  20 [size=\"72158720\", alpha=\"0.05\", expect_size=\"28863488\"] \n  20 -> 21 [size =\"28863488\"]\n  20 -> 22 [size =\"28863488\"]\n  21 [size=\"80929280\", alpha=\"0.11\", expect_size=\"32371712\"] \n  21 -> 23 [size =\"32371712\"]\n  21 -> 24 [size =\"32371712\"]\n  22 [size=\"115655680\", alpha=\"0.10\", expect_size=\"46262272\"] \n  22 -> 24 [size =\"46262272\"]\n  23 [size=\"41594880\", alpha=\"0.02\", expect_size=\"16637952\"] \n  23 -> 25 [size =\"16637952\"]\n  24 [size=\"33477120\", alpha=\"0.13\", expect_size=\"13390848\"] \n  25 [size=\"77427200\", alpha=\"0.10\", expect_size=\"30970880\"] \n  25 -> 26 [size =\"30970880\"]\n  25 -> 27 [size =\"30970880\"]\n  26 [size=\"23800320\", alpha=\"0.17\", expect_size=\"9520128\"] \n  26 -> 28 [size =\"9520128\"]\n  26 -> 29 [size =\"9520128\"]\n  27 [size=\"85166080\", alpha=\"0.16\", expect_size=\"34066432\"] \n  27 -> 28 [size =\"34066432\"]\n  27 -> 29 [size =\"34066432\"]\n  28 [size=\"99719680\", alpha=\"0.04\", expect_size=\"39887872\"] \n  29 [size=\"45460480\", alpha=\"0.12\", expect_size=\"18184192\"] \n  29 -> 30 [size =\"18184192\"]\n  30 [size=\"120158720\", alpha=\"0.03\", expect_size=\"48063488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95431680\", alpha=\"0.18\", expect_size=\"38172672\"] \n  1 -> 19 [size =\"38172672\"]\n  1 -> 20 [size =\"38172672\"]\n  1 -> 21 [size =\"38172672\"]\n  1 -> 22 [size =\"38172672\"]\n  1 -> 24 [size =\"38172672\"]\n  1 -> 25 [size =\"38172672\"]\n  1 -> 26 [size =\"38172672\"]\n  1 -> 29 [size =\"38172672\"]\n  2 [size=\"33994240\", alpha=\"0.09\", expect_size=\"13597696\"] \n  2 -> 19 [size =\"13597696\"]\n  2 -> 20 [size =\"13597696\"]\n  2 -> 22 [size =\"13597696\"]\n  2 -> 22 [size =\"13597696\"]\n  2 -> 24 [size =\"13597696\"]\n  2 -> 25 [size =\"13597696\"]\n  2 -> 26 [size =\"13597696\"]\n  2 -> 28 [size =\"13597696\"]\n  2 -> 29 [size =\"13597696\"]\n  3 [size=\"58519040\", alpha=\"0.09\", expect_size=\"23407616\"] \n  3 -> 19 [size =\"23407616\"]\n  3 -> 21 [size =\"23407616\"]\n  3 -> 22 [size =\"23407616\"]\n  3 -> 26 [size =\"23407616\"]\n  3 -> 28 [size =\"23407616\"]\n  3 -> 29 [size =\"23407616\"]\n  4 [size=\"58050560\", alpha=\"0.14\", expect_size=\"23220224\"] \n  4 -> 19 [size =\"23220224\"]\n  4 -> 20 [size =\"23220224\"]\n  4 -> 21 [size =\"23220224\"]\n  4 -> 25 [size =\"23220224\"]\n  4 -> 26 [size =\"23220224\"]\n  4 -> 28 [size =\"23220224\"]\n  4 -> 29 [size =\"23220224\"]\n  5 [size=\"83404800\", alpha=\"0.01\", expect_size=\"33361920\"] \n  5 -> 19 [size =\"33361920\"]\n  5 -> 20 [size =\"33361920\"]\n  5 -> 21 [size =\"33361920\"]\n  5 -> 25 [size =\"33361920\"]\n  5 -> 26 [size =\"33361920\"]\n  5 -> 29 [size =\"33361920\"]\n  5 -> 30 [size =\"33361920\"]\n  6 [size=\"48903680\", alpha=\"0.11\", expect_size=\"19561472\"] \n  6 -> 20 [size =\"19561472\"]\n  6 -> 22 [size =\"19561472\"]\n  6 -> 25 [size =\"19561472\"]\n  6 -> 29 [size =\"19561472\"]\n  7 [size=\"29360640\", alpha=\"0.02\", expect_size=\"11744256\"] \n  7 -> 19 [size =\"11744256\"]\n  7 -> 22 [size =\"11744256\"]\n  7 -> 24 [size =\"11744256\"]\n  7 -> 25 [size =\"11744256\"]\n  7 -> 27 [size =\"11744256\"]\n  7 -> 28 [size =\"11744256\"]\n  7 -> 29 [size =\"11744256\"]\n  8 [size=\"31470080\", alpha=\"0.09\", expect_size=\"12588032\"] \n  8 -> 20 [size =\"12588032\"]\n  8 -> 22 [size =\"12588032\"]\n  8 -> 25 [size =\"12588032\"]\n  8 -> 26 [size =\"12588032\"]\n  8 -> 29 [size =\"12588032\"]\n  9 [size=\"39370240\", alpha=\"0.18\", expect_size=\"15748096\"] \n  9 -> 19 [size =\"15748096\"]\n  9 -> 20 [size =\"15748096\"]\n  9 -> 22 [size =\"15748096\"]\n  9 -> 23 [size =\"15748096\"]\n  9 -> 25 [size =\"15748096\"]\n  10 [size=\"40791040\", alpha=\"0.19\", expect_size=\"16316416\"] \n  10 -> 20 [size =\"16316416\"]\n  10 -> 20 [size =\"16316416\"]\n  10 -> 21 [size =\"16316416\"]\n  10 -> 25 [size =\"16316416\"]\n  10 -> 26 [size =\"16316416\"]\n  10 -> 29 [size =\"16316416\"]\n  10 -> 30 [size =\"16316416\"]\n  11 [size=\"77665280\", alpha=\"0.07\", expect_size=\"31066112\"] \n  11 -> 23 [size =\"31066112\"]\n  11 -> 26 [size =\"31066112\"]\n  12 [size=\"64071680\", alpha=\"0.05\", expect_size=\"25628672\"] \n  12 -> 19 [size =\"25628672\"]\n  12 -> 20 [size =\"25628672\"]\n  12 -> 26 [size =\"25628672\"]\n  12 -> 28 [size =\"25628672\"]\n  13 [size=\"115312640\", alpha=\"0.10\", expect_size=\"46125056\"] \n  13 -> 21 [size =\"46125056\"]\n  13 -> 22 [size =\"46125056\"]\n  13 -> 26 [size =\"46125056\"]\n  13 -> 29 [size =\"46125056\"]\n  14 [size=\"50882560\", alpha=\"0.14\", expect_size=\"20353024\"] \n  14 -> 19 [size =\"20353024\"]\n  14 -> 21 [size =\"20353024\"]\n  14 -> 22 [size =\"20353024\"]\n  14 -> 25 [size =\"20353024\"]\n  14 -> 26 [size =\"20353024\"]\n  14 -> 29 [size =\"20353024\"]\n  15 [size=\"15600640\", alpha=\"0.00\", expect_size=\"6240256\"] \n  15 -> 21 [size =\"6240256\"]\n  15 -> 22 [size =\"6240256\"]\n  15 -> 24 [size =\"6240256\"]\n  15 -> 25 [size =\"6240256\"]\n  15 -> 29 [size =\"6240256\"]\n  16 [size=\"22940160\", alpha=\"0.03\", expect_size=\"9176064\"] \n  16 -> 22 [size =\"9176064\"]\n  17 [size=\"85534720\", alpha=\"0.07\", expect_size=\"34213888\"] \n  17 -> 26 [size =\"34213888\"]\n  18 [size=\"96560640\", alpha=\"0.04\", expect_size=\"38624256\"] \n  18 -> 20 [size =\"38624256\"]\n  18 -> 21 [size =\"38624256\"]\n  18 -> 22 [size =\"38624256\"]\n  18 -> 24 [size =\"38624256\"]\n  18 -> 25 [size =\"38624256\"]\n  18 -> 26 [size =\"38624256\"]\n  18 -> 28 [size =\"38624256\"]\n  18 -> 29 [size =\"38624256\"]\n  19 [size=\"32550400\", alpha=\"0.01\", expect_size=\"13020160\"] \n  20 [size=\"21493760\", alpha=\"0.10\", expect_size=\"8597504\"] \n  21 [size=\"13230080\", alpha=\"0.12\", expect_size=\"5292032\"] \n  22 [size=\"52515840\", alpha=\"0.18\", expect_size=\"21006336\"] \n  23 [size=\"84044800\", alpha=\"0.11\", expect_size=\"33617920\"] \n  24 [size=\"25692160\", alpha=\"0.13\", expect_size=\"10276864\"] \n  25 [size=\"107089920\", alpha=\"0.06\", expect_size=\"42835968\"] \n  26 [size=\"109288960\", alpha=\"0.05\", expect_size=\"43715584\"] \n  27 [size=\"127150080\", alpha=\"0.07\", expect_size=\"50860032\"] \n  28 [size=\"49802240\", alpha=\"0.12\", expect_size=\"19920896\"] \n  29 [size=\"70504960\", alpha=\"0.02\", expect_size=\"28201984\"] \n  30 [size=\"76979200\", alpha=\"0.16\", expect_size=\"30791680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21708800\", alpha=\"0.18\", expect_size=\"6512640\"] \n  1 -> 6 [size =\"6512640\"]\n  1 -> 7 [size =\"6512640\"]\n  1 -> 8 [size =\"6512640\"]\n  1 -> 9 [size =\"6512640\"]\n  2 [size=\"170960213\", alpha=\"0.10\", expect_size=\"51288064\"] \n  2 -> 6 [size =\"51288064\"]\n  2 -> 8 [size =\"51288064\"]\n  2 -> 9 [size =\"51288064\"]\n  2 -> 10 [size =\"51288064\"]\n  3 [size=\"144588800\", alpha=\"0.05\", expect_size=\"43376640\"] \n  3 -> 6 [size =\"43376640\"]\n  3 -> 7 [size =\"43376640\"]\n  4 [size=\"163737600\", alpha=\"0.10\", expect_size=\"49121280\"] \n  4 -> 6 [size =\"49121280\"]\n  4 -> 7 [size =\"49121280\"]\n  4 -> 9 [size =\"49121280\"]\n  4 -> 10 [size =\"49121280\"]\n  5 [size=\"152681813\", alpha=\"0.06\", expect_size=\"45804544\"] \n  5 -> 6 [size =\"45804544\"]\n  5 -> 8 [size =\"45804544\"]\n  5 -> 9 [size =\"45804544\"]\n  6 [size=\"96959147\", alpha=\"0.06\", expect_size=\"29087744\"] \n  6 -> 13 [size =\"29087744\"]\n  6 -> 14 [size =\"29087744\"]\n  7 [size=\"162693120\", alpha=\"0.05\", expect_size=\"48807936\"] \n  7 -> 11 [size =\"48807936\"]\n  7 -> 12 [size =\"48807936\"]\n  7 -> 13 [size =\"48807936\"]\n  7 -> 14 [size =\"48807936\"]\n  8 [size=\"111790080\", alpha=\"0.03\", expect_size=\"33537024\"] \n  8 -> 12 [size =\"33537024\"]\n  8 -> 13 [size =\"33537024\"]\n  9 [size=\"71130453\", alpha=\"0.09\", expect_size=\"21339136\"] \n  9 -> 12 [size =\"21339136\"]\n  9 -> 13 [size =\"21339136\"]\n  9 -> 14 [size =\"21339136\"]\n  10 [size=\"156747093\", alpha=\"0.11\", expect_size=\"47024128\"] \n  10 -> 13 [size =\"47024128\"]\n  10 -> 14 [size =\"47024128\"]\n  11 [size=\"24203947\", alpha=\"0.11\", expect_size=\"7261184\"] \n  11 -> 15 [size =\"7261184\"]\n  11 -> 16 [size =\"7261184\"]\n  11 -> 19 [size =\"7261184\"]\n  12 [size=\"167075840\", alpha=\"0.05\", expect_size=\"50122752\"] \n  12 -> 15 [size =\"50122752\"]\n  12 -> 16 [size =\"50122752\"]\n  12 -> 19 [size =\"50122752\"]\n  13 [size=\"86565547\", alpha=\"0.17\", expect_size=\"25969664\"] \n  13 -> 15 [size =\"25969664\"]\n  13 -> 17 [size =\"25969664\"]\n  13 -> 18 [size =\"25969664\"]\n  13 -> 19 [size =\"25969664\"]\n  14 [size=\"125665280\", alpha=\"0.14\", expect_size=\"37699584\"] \n  14 -> 15 [size =\"37699584\"]\n  14 -> 17 [size =\"37699584\"]\n  14 -> 18 [size =\"37699584\"]\n  14 -> 19 [size =\"37699584\"]\n  15 [size=\"50124800\", alpha=\"0.09\", expect_size=\"15037440\"] \n  15 -> 22 [size =\"15037440\"]\n  15 -> 23 [size =\"15037440\"]\n  16 [size=\"97573547\", alpha=\"0.17\", expect_size=\"29272064\"] \n  16 -> 20 [size =\"29272064\"]\n  16 -> 21 [size =\"29272064\"]\n  16 -> 22 [size =\"29272064\"]\n  17 [size=\"143254187\", alpha=\"0.00\", expect_size=\"42976256\"] \n  17 -> 20 [size =\"42976256\"]\n  17 -> 21 [size =\"42976256\"]\n  18 [size=\"28436480\", alpha=\"0.08\", expect_size=\"8530944\"] \n  18 -> 21 [size =\"8530944\"]\n  18 -> 22 [size =\"8530944\"]\n  18 -> 23 [size =\"8530944\"]\n  19 [size=\"52445867\", alpha=\"0.08\", expect_size=\"15733760\"] \n  19 -> 22 [size =\"15733760\"]\n  19 -> 23 [size =\"15733760\"]\n  20 [size=\"124057600\", alpha=\"0.13\", expect_size=\"37217280\"] \n  20 -> 25 [size =\"37217280\"]\n  20 -> 26 [size =\"37217280\"]\n  20 -> 27 [size =\"37217280\"]\n  21 [size=\"56975360\", alpha=\"0.19\", expect_size=\"17092608\"] \n  21 -> 25 [size =\"17092608\"]\n  21 -> 26 [size =\"17092608\"]\n  21 -> 27 [size =\"17092608\"]\n  22 [size=\"146472960\", alpha=\"0.04\", expect_size=\"43941888\"] \n  22 -> 25 [size =\"43941888\"]\n  22 -> 26 [size =\"43941888\"]\n  23 [size=\"32197973\", alpha=\"0.05\", expect_size=\"9659392\"] \n  23 -> 24 [size =\"9659392\"]\n  23 -> 27 [size =\"9659392\"]\n  24 [size=\"166290773\", alpha=\"0.05\", expect_size=\"49887232\"] \n  24 -> 28 [size =\"49887232\"]\n  24 -> 29 [size =\"49887232\"]\n  24 -> 30 [size =\"49887232\"]\n  25 [size=\"116712107\", alpha=\"0.03\", expect_size=\"35013632\"] \n  25 -> 28 [size =\"35013632\"]\n  25 -> 29 [size =\"35013632\"]\n  25 -> 30 [size =\"35013632\"]\n  26 [size=\"33051307\", alpha=\"0.10\", expect_size=\"9915392\"] \n  26 -> 28 [size =\"9915392\"]\n  26 -> 29 [size =\"9915392\"]\n  27 [size=\"169499307\", alpha=\"0.16\", expect_size=\"50849792\"] \n  27 -> 28 [size =\"50849792\"]\n  27 -> 29 [size =\"50849792\"]\n  27 -> 30 [size =\"50849792\"]\n  28 [size=\"171403947\", alpha=\"0.14\", expect_size=\"51421184\"] \n  29 [size=\"73594880\", alpha=\"0.18\", expect_size=\"22078464\"] \n  30 [size=\"134072320\", alpha=\"0.01\", expect_size=\"40221696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80670720\", alpha=\"0.20\", expect_size=\"24201216\"] \n  1 -> 2 [size =\"24201216\"]\n  2 [size=\"66696533\", alpha=\"0.02\", expect_size=\"20008960\"] \n  2 -> 3 [size =\"20008960\"]\n  3 [size=\"155357867\", alpha=\"0.15\", expect_size=\"46607360\"] \n  3 -> 4 [size =\"46607360\"]\n  4 [size=\"94190933\", alpha=\"0.05\", expect_size=\"28257280\"] \n  4 -> 5 [size =\"28257280\"]\n  5 [size=\"20865707\", alpha=\"0.13\", expect_size=\"6259712\"] \n  5 -> 6 [size =\"6259712\"]\n  6 [size=\"110353067\", alpha=\"0.09\", expect_size=\"33105920\"] \n  6 -> 7 [size =\"33105920\"]\n  7 [size=\"89719467\", alpha=\"0.03\", expect_size=\"26915840\"] \n  7 -> 8 [size =\"26915840\"]\n  8 [size=\"158556160\", alpha=\"0.11\", expect_size=\"47566848\"] \n  8 -> 9 [size =\"47566848\"]\n  9 [size=\"104007680\", alpha=\"0.19\", expect_size=\"31202304\"] \n  9 -> 10 [size =\"31202304\"]\n  10 [size=\"116275200\", alpha=\"0.05\", expect_size=\"34882560\"] \n  10 -> 11 [size =\"34882560\"]\n  11 [size=\"39256747\", alpha=\"0.00\", expect_size=\"11777024\"] \n  11 -> 12 [size =\"11777024\"]\n  12 [size=\"36126720\", alpha=\"0.09\", expect_size=\"10838016\"] \n  12 -> 13 [size =\"10838016\"]\n  13 [size=\"52940800\", alpha=\"0.06\", expect_size=\"15882240\"] \n  13 -> 14 [size =\"15882240\"]\n  14 [size=\"167533227\", alpha=\"0.04\", expect_size=\"50259968\"] \n  14 -> 15 [size =\"50259968\"]\n  15 [size=\"46257493\", alpha=\"0.09\", expect_size=\"13877248\"] \n  15 -> 16 [size =\"13877248\"]\n  16 [size=\"148077227\", alpha=\"0.06\", expect_size=\"44423168\"] \n  16 -> 17 [size =\"44423168\"]\n  17 [size=\"61334187\", alpha=\"0.03\", expect_size=\"18400256\"] \n  17 -> 18 [size =\"18400256\"]\n  18 [size=\"83572053\", alpha=\"0.07\", expect_size=\"25071616\"] \n  18 -> 19 [size =\"25071616\"]\n  19 [size=\"172247040\", alpha=\"0.07\", expect_size=\"51674112\"] \n  19 -> 20 [size =\"51674112\"]\n  20 [size=\"165836800\", alpha=\"0.10\", expect_size=\"49751040\"] \n  20 -> 21 [size =\"49751040\"]\n  21 [size=\"49462613\", alpha=\"0.01\", expect_size=\"14838784\"] \n  21 -> 22 [size =\"14838784\"]\n  22 [size=\"52954453\", alpha=\"0.19\", expect_size=\"15886336\"] \n  22 -> 23 [size =\"15886336\"]\n  23 [size=\"127249067\", alpha=\"0.14\", expect_size=\"38174720\"] \n  23 -> 24 [size =\"38174720\"]\n  24 [size=\"18107733\", alpha=\"0.18\", expect_size=\"5432320\"] \n  24 -> 25 [size =\"5432320\"]\n  25 [size=\"53097813\", alpha=\"0.04\", expect_size=\"15929344\"] \n  25 -> 26 [size =\"15929344\"]\n  26 [size=\"121589760\", alpha=\"0.01\", expect_size=\"36476928\"] \n  26 -> 27 [size =\"36476928\"]\n  27 [size=\"172451840\", alpha=\"0.07\", expect_size=\"51735552\"] \n  27 -> 28 [size =\"51735552\"]\n  28 [size=\"34959360\", alpha=\"0.11\", expect_size=\"10487808\"] \n  28 -> 29 [size =\"10487808\"]\n  29 [size=\"89780907\", alpha=\"0.06\", expect_size=\"26934272\"] \n  29 -> 30 [size =\"26934272\"]\n  30 [size=\"142138027\", alpha=\"0.14\", expect_size=\"42641408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141216427\", alpha=\"0.03\", expect_size=\"42364928\"] \n  1 -> 12 [size =\"42364928\"]\n  1 -> 14 [size =\"42364928\"]\n  1 -> 18 [size =\"42364928\"]\n  2 [size=\"125460480\", alpha=\"0.13\", expect_size=\"37638144\"] \n  2 -> 12 [size =\"37638144\"]\n  2 -> 17 [size =\"37638144\"]\n  3 [size=\"96689493\", alpha=\"0.07\", expect_size=\"29006848\"] \n  3 -> 17 [size =\"29006848\"]\n  3 -> 18 [size =\"29006848\"]\n  4 [size=\"143380480\", alpha=\"0.00\", expect_size=\"43014144\"] \n  4 -> 12 [size =\"43014144\"]\n  4 -> 13 [size =\"43014144\"]\n  4 -> 15 [size =\"43014144\"]\n  4 -> 17 [size =\"43014144\"]\n  5 [size=\"91381760\", alpha=\"0.14\", expect_size=\"27414528\"] \n  5 -> 13 [size =\"27414528\"]\n  5 -> 17 [size =\"27414528\"]\n  5 -> 18 [size =\"27414528\"]\n  6 [size=\"155436373\", alpha=\"0.16\", expect_size=\"46630912\"] \n  6 -> 12 [size =\"46630912\"]\n  6 -> 16 [size =\"46630912\"]\n  7 [size=\"164891307\", alpha=\"0.20\", expect_size=\"49467392\"] \n  7 -> 12 [size =\"49467392\"]\n  7 -> 13 [size =\"49467392\"]\n  7 -> 16 [size =\"49467392\"]\n  8 [size=\"159757653\", alpha=\"0.12\", expect_size=\"47927296\"] \n  8 -> 14 [size =\"47927296\"]\n  8 -> 16 [size =\"47927296\"]\n  8 -> 18 [size =\"47927296\"]\n  9 [size=\"119169707\", alpha=\"0.11\", expect_size=\"35750912\"] \n  9 -> 18 [size =\"35750912\"]\n  10 [size=\"170646187\", alpha=\"0.12\", expect_size=\"51193856\"] \n  10 -> 13 [size =\"51193856\"]\n  10 -> 18 [size =\"51193856\"]\n  11 [size=\"158358187\", alpha=\"0.18\", expect_size=\"47507456\"] \n  11 -> 12 [size =\"47507456\"]\n  11 -> 15 [size =\"47507456\"]\n  12 [size=\"26955093\", alpha=\"0.19\", expect_size=\"8086528\"] \n  12 -> 21 [size =\"8086528\"]\n  12 -> 21 [size =\"8086528\"]\n  12 -> 24 [size =\"8086528\"]\n  12 -> 26 [size =\"8086528\"]\n  12 -> 29 [size =\"8086528\"]\n  12 -> 30 [size =\"8086528\"]\n  13 [size=\"126737067\", alpha=\"0.00\", expect_size=\"38021120\"] \n  13 -> 21 [size =\"38021120\"]\n  13 -> 24 [size =\"38021120\"]\n  13 -> 25 [size =\"38021120\"]\n  13 -> 30 [size =\"38021120\"]\n  14 [size=\"22616747\", alpha=\"0.04\", expect_size=\"6785024\"] \n  14 -> 19 [size =\"6785024\"]\n  14 -> 21 [size =\"6785024\"]\n  14 -> 24 [size =\"6785024\"]\n  14 -> 26 [size =\"6785024\"]\n  14 -> 27 [size =\"6785024\"]\n  14 -> 29 [size =\"6785024\"]\n  14 -> 30 [size =\"6785024\"]\n  15 [size=\"25808213\", alpha=\"0.08\", expect_size=\"7742464\"] \n  15 -> 19 [size =\"7742464\"]\n  15 -> 23 [size =\"7742464\"]\n  15 -> 27 [size =\"7742464\"]\n  15 -> 29 [size =\"7742464\"]\n  15 -> 30 [size =\"7742464\"]\n  16 [size=\"133044907\", alpha=\"0.08\", expect_size=\"39913472\"] \n  16 -> 19 [size =\"39913472\"]\n  16 -> 20 [size =\"39913472\"]\n  16 -> 24 [size =\"39913472\"]\n  16 -> 26 [size =\"39913472\"]\n  16 -> 28 [size =\"39913472\"]\n  16 -> 29 [size =\"39913472\"]\n  17 [size=\"99857067\", alpha=\"0.06\", expect_size=\"29957120\"] \n  17 -> 19 [size =\"29957120\"]\n  17 -> 22 [size =\"29957120\"]\n  17 -> 26 [size =\"29957120\"]\n  17 -> 29 [size =\"29957120\"]\n  18 [size=\"99208533\", alpha=\"0.02\", expect_size=\"29762560\"] \n  18 -> 19 [size =\"29762560\"]\n  18 -> 21 [size =\"29762560\"]\n  18 -> 24 [size =\"29762560\"]\n  18 -> 26 [size =\"29762560\"]\n  18 -> 27 [size =\"29762560\"]\n  18 -> 28 [size =\"29762560\"]\n  18 -> 30 [size =\"29762560\"]\n  19 [size=\"38007467\", alpha=\"0.17\", expect_size=\"11402240\"] \n  20 [size=\"126091947\", alpha=\"0.07\", expect_size=\"37827584\"] \n  21 [size=\"61750613\", alpha=\"0.12\", expect_size=\"18525184\"] \n  22 [size=\"43342507\", alpha=\"0.12\", expect_size=\"13002752\"] \n  23 [size=\"39249920\", alpha=\"0.02\", expect_size=\"11774976\"] \n  24 [size=\"41618773\", alpha=\"0.07\", expect_size=\"12485632\"] \n  25 [size=\"70683307\", alpha=\"0.02\", expect_size=\"21204992\"] \n  26 [size=\"131293867\", alpha=\"0.15\", expect_size=\"39388160\"] \n  27 [size=\"33419947\", alpha=\"0.06\", expect_size=\"10025984\"] \n  28 [size=\"81131520\", alpha=\"0.15\", expect_size=\"24339456\"] \n  29 [size=\"94218240\", alpha=\"0.17\", expect_size=\"28265472\"] \n  30 [size=\"67969707\", alpha=\"0.19\", expect_size=\"20390912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51294208\", alpha=\"0.09\", expect_size=\"25647104\"] \n  1 -> 22 [size =\"25647104\"]\n  1 -> 25 [size =\"25647104\"]\n  1 -> 26 [size =\"25647104\"]\n  1 -> 30 [size =\"25647104\"]\n  2 [size=\"82724864\", alpha=\"0.01\", expect_size=\"41362432\"] \n  2 -> 20 [size =\"41362432\"]\n  2 -> 22 [size =\"41362432\"]\n  2 -> 24 [size =\"41362432\"]\n  2 -> 25 [size =\"41362432\"]\n  2 -> 26 [size =\"41362432\"]\n  2 -> 27 [size =\"41362432\"]\n  2 -> 29 [size =\"41362432\"]\n  2 -> 30 [size =\"41362432\"]\n  3 [size=\"25403392\", alpha=\"0.02\", expect_size=\"12701696\"] \n  3 -> 20 [size =\"12701696\"]\n  3 -> 21 [size =\"12701696\"]\n  3 -> 25 [size =\"12701696\"]\n  3 -> 26 [size =\"12701696\"]\n  3 -> 28 [size =\"12701696\"]\n  3 -> 29 [size =\"12701696\"]\n  3 -> 30 [size =\"12701696\"]\n  4 [size=\"71168000\", alpha=\"0.08\", expect_size=\"35584000\"] \n  4 -> 23 [size =\"35584000\"]\n  4 -> 24 [size =\"35584000\"]\n  4 -> 25 [size =\"35584000\"]\n  4 -> 26 [size =\"35584000\"]\n  4 -> 28 [size =\"35584000\"]\n  4 -> 30 [size =\"35584000\"]\n  5 [size=\"102303744\", alpha=\"0.02\", expect_size=\"51151872\"] \n  5 -> 22 [size =\"51151872\"]\n  5 -> 24 [size =\"51151872\"]\n  5 -> 25 [size =\"51151872\"]\n  5 -> 28 [size =\"51151872\"]\n  5 -> 28 [size =\"51151872\"]\n  5 -> 29 [size =\"51151872\"]\n  5 -> 30 [size =\"51151872\"]\n  6 [size=\"104542208\", alpha=\"0.16\", expect_size=\"52271104\"] \n  6 -> 21 [size =\"52271104\"]\n  6 -> 22 [size =\"52271104\"]\n  6 -> 24 [size =\"52271104\"]\n  6 -> 25 [size =\"52271104\"]\n  6 -> 26 [size =\"52271104\"]\n  6 -> 27 [size =\"52271104\"]\n  6 -> 28 [size =\"52271104\"]\n  6 -> 29 [size =\"52271104\"]\n  6 -> 30 [size =\"52271104\"]\n  7 [size=\"23982080\", alpha=\"0.19\", expect_size=\"11991040\"] \n  7 -> 24 [size =\"11991040\"]\n  7 -> 25 [size =\"11991040\"]\n  7 -> 28 [size =\"11991040\"]\n  7 -> 29 [size =\"11991040\"]\n  7 -> 30 [size =\"11991040\"]\n  8 [size=\"42760192\", alpha=\"0.13\", expect_size=\"21380096\"] \n  8 -> 23 [size =\"21380096\"]\n  8 -> 24 [size =\"21380096\"]\n  8 -> 28 [size =\"21380096\"]\n  8 -> 29 [size =\"21380096\"]\n  8 -> 30 [size =\"21380096\"]\n  9 [size=\"24469504\", alpha=\"0.14\", expect_size=\"12234752\"] \n  9 -> 21 [size =\"12234752\"]\n  9 -> 24 [size =\"12234752\"]\n  9 -> 26 [size =\"12234752\"]\n  9 -> 29 [size =\"12234752\"]\n  9 -> 30 [size =\"12234752\"]\n  10 [size=\"21350400\", alpha=\"0.15\", expect_size=\"10675200\"] \n  10 -> 21 [size =\"10675200\"]\n  10 -> 23 [size =\"10675200\"]\n  10 -> 24 [size =\"10675200\"]\n  10 -> 26 [size =\"10675200\"]\n  10 -> 28 [size =\"10675200\"]\n  10 -> 29 [size =\"10675200\"]\n  10 -> 30 [size =\"10675200\"]\n  11 [size=\"30140416\", alpha=\"0.02\", expect_size=\"15070208\"] \n  11 -> 21 [size =\"15070208\"]\n  11 -> 24 [size =\"15070208\"]\n  11 -> 24 [size =\"15070208\"]\n  11 -> 25 [size =\"15070208\"]\n  11 -> 26 [size =\"15070208\"]\n  11 -> 28 [size =\"15070208\"]\n  11 -> 30 [size =\"15070208\"]\n  12 [size=\"73390080\", alpha=\"0.02\", expect_size=\"36695040\"] \n  12 -> 21 [size =\"36695040\"]\n  12 -> 22 [size =\"36695040\"]\n  12 -> 23 [size =\"36695040\"]\n  12 -> 25 [size =\"36695040\"]\n  12 -> 28 [size =\"36695040\"]\n  13 [size=\"79187968\", alpha=\"0.01\", expect_size=\"39593984\"] \n  13 -> 21 [size =\"39593984\"]\n  13 -> 22 [size =\"39593984\"]\n  13 -> 25 [size =\"39593984\"]\n  13 -> 25 [size =\"39593984\"]\n  13 -> 26 [size =\"39593984\"]\n  13 -> 28 [size =\"39593984\"]\n  13 -> 29 [size =\"39593984\"]\n  14 [size=\"86992896\", alpha=\"0.17\", expect_size=\"43496448\"] \n  14 -> 24 [size =\"43496448\"]\n  14 -> 25 [size =\"43496448\"]\n  14 -> 28 [size =\"43496448\"]\n  15 [size=\"32413696\", alpha=\"0.12\", expect_size=\"16206848\"] \n  15 -> 22 [size =\"16206848\"]\n  15 -> 25 [size =\"16206848\"]\n  15 -> 26 [size =\"16206848\"]\n  15 -> 29 [size =\"16206848\"]\n  15 -> 30 [size =\"16206848\"]\n  16 [size=\"41875456\", alpha=\"0.08\", expect_size=\"20937728\"] \n  16 -> 20 [size =\"20937728\"]\n  16 -> 26 [size =\"20937728\"]\n  16 -> 26 [size =\"20937728\"]\n  16 -> 29 [size =\"20937728\"]\n  16 -> 30 [size =\"20937728\"]\n  17 [size=\"22210560\", alpha=\"0.07\", expect_size=\"11105280\"] \n  17 -> 20 [size =\"11105280\"]\n  17 -> 22 [size =\"11105280\"]\n  17 -> 23 [size =\"11105280\"]\n  17 -> 24 [size =\"11105280\"]\n  17 -> 25 [size =\"11105280\"]\n  17 -> 28 [size =\"11105280\"]\n  17 -> 30 [size =\"11105280\"]\n  18 [size=\"15394816\", alpha=\"0.18\", expect_size=\"7697408\"] \n  18 -> 25 [size =\"7697408\"]\n  18 -> 26 [size =\"7697408\"]\n  18 -> 29 [size =\"7697408\"]\n  18 -> 30 [size =\"7697408\"]\n  19 [size=\"77883392\", alpha=\"0.01\", expect_size=\"38941696\"] \n  19 -> 22 [size =\"38941696\"]\n  19 -> 25 [size =\"38941696\"]\n  19 -> 27 [size =\"38941696\"]\n  19 -> 28 [size =\"38941696\"]\n  19 -> 29 [size =\"38941696\"]\n  19 -> 30 [size =\"38941696\"]\n  20 [size=\"49154048\", alpha=\"0.01\", expect_size=\"24577024\"] \n  21 [size=\"24193024\", alpha=\"0.11\", expect_size=\"12096512\"] \n  22 [size=\"35401728\", alpha=\"0.15\", expect_size=\"17700864\"] \n  23 [size=\"45381632\", alpha=\"0.03\", expect_size=\"22690816\"] \n  24 [size=\"47960064\", alpha=\"0.04\", expect_size=\"23980032\"] \n  25 [size=\"31727616\", alpha=\"0.04\", expect_size=\"15863808\"] \n  26 [size=\"87287808\", alpha=\"0.05\", expect_size=\"43643904\"] \n  27 [size=\"32894976\", alpha=\"0.08\", expect_size=\"16447488\"] \n  28 [size=\"68048896\", alpha=\"0.17\", expect_size=\"34024448\"] \n  29 [size=\"59947008\", alpha=\"0.10\", expect_size=\"29973504\"] \n  30 [size=\"62351360\", alpha=\"0.05\", expect_size=\"31175680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90294272\", alpha=\"0.09\", expect_size=\"45147136\"] \n  1 -> 17 [size =\"45147136\"]\n  1 -> 19 [size =\"45147136\"]\n  1 -> 20 [size =\"45147136\"]\n  1 -> 22 [size =\"45147136\"]\n  2 [size=\"64505856\", alpha=\"0.02\", expect_size=\"32252928\"] \n  2 -> 21 [size =\"32252928\"]\n  2 -> 22 [size =\"32252928\"]\n  3 [size=\"27308032\", alpha=\"0.13\", expect_size=\"13654016\"] \n  3 -> 11 [size =\"13654016\"]\n  3 -> 12 [size =\"13654016\"]\n  3 -> 18 [size =\"13654016\"]\n  3 -> 20 [size =\"13654016\"]\n  4 [size=\"11218944\", alpha=\"0.19\", expect_size=\"5609472\"] \n  4 -> 17 [size =\"5609472\"]\n  4 -> 18 [size =\"5609472\"]\n  4 -> 18 [size =\"5609472\"]\n  4 -> 19 [size =\"5609472\"]\n  5 [size=\"24008704\", alpha=\"0.06\", expect_size=\"12004352\"] \n  5 -> 15 [size =\"12004352\"]\n  5 -> 21 [size =\"12004352\"]\n  6 [size=\"50028544\", alpha=\"0.17\", expect_size=\"25014272\"] \n  6 -> 13 [size =\"25014272\"]\n  6 -> 16 [size =\"25014272\"]\n  6 -> 17 [size =\"25014272\"]\n  7 [size=\"45119488\", alpha=\"0.09\", expect_size=\"22559744\"] \n  7 -> 11 [size =\"22559744\"]\n  7 -> 12 [size =\"22559744\"]\n  7 -> 13 [size =\"22559744\"]\n  7 -> 16 [size =\"22559744\"]\n  7 -> 17 [size =\"22559744\"]\n  8 [size=\"80037888\", alpha=\"0.06\", expect_size=\"40018944\"] \n  8 -> 11 [size =\"40018944\"]\n  8 -> 19 [size =\"40018944\"]\n  9 [size=\"77101056\", alpha=\"0.11\", expect_size=\"38550528\"] \n  9 -> 13 [size =\"38550528\"]\n  9 -> 14 [size =\"38550528\"]\n  9 -> 15 [size =\"38550528\"]\n  9 -> 19 [size =\"38550528\"]\n  10 [size=\"95137792\", alpha=\"0.08\", expect_size=\"47568896\"] \n  10 -> 11 [size =\"47568896\"]\n  10 -> 13 [size =\"47568896\"]\n  10 -> 17 [size =\"47568896\"]\n  10 -> 19 [size =\"47568896\"]\n  10 -> 20 [size =\"47568896\"]\n  11 [size=\"33093632\", alpha=\"0.03\", expect_size=\"16546816\"] \n  11 -> 23 [size =\"16546816\"]\n  11 -> 24 [size =\"16546816\"]\n  11 -> 29 [size =\"16546816\"]\n  12 [size=\"73744384\", alpha=\"0.13\", expect_size=\"36872192\"] \n  12 -> 28 [size =\"36872192\"]\n  12 -> 29 [size =\"36872192\"]\n  13 [size=\"81117184\", alpha=\"0.05\", expect_size=\"40558592\"] \n  13 -> 26 [size =\"40558592\"]\n  14 [size=\"46501888\", alpha=\"0.17\", expect_size=\"23250944\"] \n  15 [size=\"42108928\", alpha=\"0.20\", expect_size=\"21054464\"] \n  16 [size=\"70096896\", alpha=\"0.15\", expect_size=\"35048448\"] \n  16 -> 24 [size =\"35048448\"]\n  16 -> 27 [size =\"35048448\"]\n  16 -> 29 [size =\"35048448\"]\n  16 -> 30 [size =\"35048448\"]\n  17 [size=\"57729024\", alpha=\"0.16\", expect_size=\"28864512\"] \n  17 -> 23 [size =\"28864512\"]\n  17 -> 24 [size =\"28864512\"]\n  17 -> 25 [size =\"28864512\"]\n  17 -> 26 [size =\"28864512\"]\n  17 -> 29 [size =\"28864512\"]\n  18 [size=\"101734400\", alpha=\"0.18\", expect_size=\"50867200\"] \n  18 -> 26 [size =\"50867200\"]\n  19 [size=\"34820096\", alpha=\"0.08\", expect_size=\"17410048\"] \n  19 -> 24 [size =\"17410048\"]\n  19 -> 26 [size =\"17410048\"]\n  20 [size=\"88907776\", alpha=\"0.10\", expect_size=\"44453888\"] \n  20 -> 23 [size =\"44453888\"]\n  20 -> 25 [size =\"44453888\"]\n  20 -> 26 [size =\"44453888\"]\n  20 -> 28 [size =\"44453888\"]\n  21 [size=\"33138688\", alpha=\"0.09\", expect_size=\"16569344\"] \n  21 -> 26 [size =\"16569344\"]\n  22 [size=\"49524736\", alpha=\"0.20\", expect_size=\"24762368\"] \n  22 -> 24 [size =\"24762368\"]\n  22 -> 30 [size =\"24762368\"]\n  23 [size=\"14145536\", alpha=\"0.14\", expect_size=\"7072768\"] \n  24 [size=\"36982784\", alpha=\"0.08\", expect_size=\"18491392\"] \n  25 [size=\"20537344\", alpha=\"0.05\", expect_size=\"10268672\"] \n  26 [size=\"18524160\", alpha=\"0.10\", expect_size=\"9262080\"] \n  27 [size=\"90714112\", alpha=\"0.03\", expect_size=\"45357056\"] \n  28 [size=\"72943616\", alpha=\"0.11\", expect_size=\"36471808\"] \n  29 [size=\"65759232\", alpha=\"0.12\", expect_size=\"32879616\"] \n  30 [size=\"104536064\", alpha=\"0.12\", expect_size=\"52268032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125081600\", alpha=\"0.13\", expect_size=\"50032640\"] \n  1 -> 22 [size =\"50032640\"]\n  1 -> 28 [size =\"50032640\"]\n  2 [size=\"116206080\", alpha=\"0.11\", expect_size=\"46482432\"] \n  2 -> 21 [size =\"46482432\"]\n  2 -> 25 [size =\"46482432\"]\n  2 -> 28 [size =\"46482432\"]\n  2 -> 29 [size =\"46482432\"]\n  2 -> 30 [size =\"46482432\"]\n  3 [size=\"35627520\", alpha=\"0.03\", expect_size=\"14251008\"] \n  3 -> 25 [size =\"14251008\"]\n  3 -> 30 [size =\"14251008\"]\n  4 [size=\"67266560\", alpha=\"0.14\", expect_size=\"26906624\"] \n  4 -> 21 [size =\"26906624\"]\n  4 -> 24 [size =\"26906624\"]\n  4 -> 26 [size =\"26906624\"]\n  4 -> 28 [size =\"26906624\"]\n  5 [size=\"64903680\", alpha=\"0.10\", expect_size=\"25961472\"] \n  5 -> 24 [size =\"25961472\"]\n  6 [size=\"51791360\", alpha=\"0.02\", expect_size=\"20716544\"] \n  6 -> 24 [size =\"20716544\"]\n  6 -> 28 [size =\"20716544\"]\n  7 [size=\"15106560\", alpha=\"0.19\", expect_size=\"6042624\"] \n  7 -> 28 [size =\"6042624\"]\n  8 [size=\"97139200\", alpha=\"0.12\", expect_size=\"38855680\"] \n  8 -> 24 [size =\"38855680\"]\n  8 -> 28 [size =\"38855680\"]\n  8 -> 29 [size =\"38855680\"]\n  9 [size=\"97443840\", alpha=\"0.04\", expect_size=\"38977536\"] \n  9 -> 23 [size =\"38977536\"]\n  9 -> 27 [size =\"38977536\"]\n  9 -> 28 [size =\"38977536\"]\n  9 -> 29 [size =\"38977536\"]\n  9 -> 30 [size =\"38977536\"]\n  10 [size=\"96391680\", alpha=\"0.10\", expect_size=\"38556672\"] \n  10 -> 27 [size =\"38556672\"]\n  10 -> 30 [size =\"38556672\"]\n  11 [size=\"115617280\", alpha=\"0.10\", expect_size=\"46246912\"] \n  11 -> 27 [size =\"46246912\"]\n  11 -> 30 [size =\"46246912\"]\n  12 [size=\"72412160\", alpha=\"0.16\", expect_size=\"28964864\"] \n  12 -> 21 [size =\"28964864\"]\n  12 -> 26 [size =\"28964864\"]\n  12 -> 29 [size =\"28964864\"]\n  12 -> 30 [size =\"28964864\"]\n  13 [size=\"18488320\", alpha=\"0.03\", expect_size=\"7395328\"] \n  13 -> 22 [size =\"7395328\"]\n  13 -> 24 [size =\"7395328\"]\n  13 -> 26 [size =\"7395328\"]\n  13 -> 28 [size =\"7395328\"]\n  13 -> 29 [size =\"7395328\"]\n  13 -> 30 [size =\"7395328\"]\n  14 [size=\"34713600\", alpha=\"0.19\", expect_size=\"13885440\"] \n  15 [size=\"116034560\", alpha=\"0.01\", expect_size=\"46413824\"] \n  15 -> 29 [size =\"46413824\"]\n  15 -> 30 [size =\"46413824\"]\n  16 [size=\"59269120\", alpha=\"0.17\", expect_size=\"23707648\"] \n  16 -> 24 [size =\"23707648\"]\n  16 -> 30 [size =\"23707648\"]\n  17 [size=\"72627200\", alpha=\"0.06\", expect_size=\"29050880\"] \n  17 -> 21 [size =\"29050880\"]\n  17 -> 28 [size =\"29050880\"]\n  17 -> 30 [size =\"29050880\"]\n  18 [size=\"67494400\", alpha=\"0.10\", expect_size=\"26997760\"] \n  18 -> 24 [size =\"26997760\"]\n  18 -> 29 [size =\"26997760\"]\n  19 [size=\"17466880\", alpha=\"0.12\", expect_size=\"6986752\"] \n  19 -> 22 [size =\"6986752\"]\n  19 -> 24 [size =\"6986752\"]\n  20 [size=\"38507520\", alpha=\"0.15\", expect_size=\"15403008\"] \n  20 -> 24 [size =\"15403008\"]\n  20 -> 27 [size =\"15403008\"]\n  21 [size=\"99082240\", alpha=\"0.17\", expect_size=\"39632896\"] \n  22 [size=\"40230400\", alpha=\"0.16\", expect_size=\"16092160\"] \n  23 [size=\"16360960\", alpha=\"0.19\", expect_size=\"6544384\"] \n  24 [size=\"33789440\", alpha=\"0.11\", expect_size=\"13515776\"] \n  25 [size=\"29207040\", alpha=\"0.12\", expect_size=\"11682816\"] \n  26 [size=\"32427520\", alpha=\"0.00\", expect_size=\"12971008\"] \n  27 [size=\"13214720\", alpha=\"0.08\", expect_size=\"5285888\"] \n  28 [size=\"50705920\", alpha=\"0.10\", expect_size=\"20282368\"] \n  29 [size=\"112074240\", alpha=\"0.06\", expect_size=\"44829696\"] \n  30 [size=\"67770880\", alpha=\"0.17\", expect_size=\"27108352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56784213\", alpha=\"0.19\", expect_size=\"17035264\"] \n  1 -> 11 [size =\"17035264\"]\n  1 -> 12 [size =\"17035264\"]\n  1 -> 19 [size =\"17035264\"]\n  2 [size=\"73581227\", alpha=\"0.16\", expect_size=\"22074368\"] \n  2 -> 11 [size =\"22074368\"]\n  2 -> 12 [size =\"22074368\"]\n  2 -> 14 [size =\"22074368\"]\n  2 -> 16 [size =\"22074368\"]\n  2 -> 17 [size =\"22074368\"]\n  3 [size=\"142411093\", alpha=\"0.04\", expect_size=\"42723328\"] \n  3 -> 12 [size =\"42723328\"]\n  3 -> 15 [size =\"42723328\"]\n  3 -> 17 [size =\"42723328\"]\n  4 [size=\"109445120\", alpha=\"0.08\", expect_size=\"32833536\"] \n  4 -> 12 [size =\"32833536\"]\n  4 -> 16 [size =\"32833536\"]\n  4 -> 19 [size =\"32833536\"]\n  5 [size=\"57774080\", alpha=\"0.11\", expect_size=\"17332224\"] \n  5 -> 12 [size =\"17332224\"]\n  5 -> 13 [size =\"17332224\"]\n  5 -> 16 [size =\"17332224\"]\n  5 -> 19 [size =\"17332224\"]\n  6 [size=\"149620053\", alpha=\"0.12\", expect_size=\"44886016\"] \n  6 -> 13 [size =\"44886016\"]\n  6 -> 16 [size =\"44886016\"]\n  6 -> 16 [size =\"44886016\"]\n  6 -> 18 [size =\"44886016\"]\n  7 [size=\"51708587\", alpha=\"0.19\", expect_size=\"15512576\"] \n  7 -> 11 [size =\"15512576\"]\n  7 -> 13 [size =\"15512576\"]\n  7 -> 16 [size =\"15512576\"]\n  7 -> 17 [size =\"15512576\"]\n  7 -> 19 [size =\"15512576\"]\n  8 [size=\"161198080\", alpha=\"0.09\", expect_size=\"48359424\"] \n  8 -> 11 [size =\"48359424\"]\n  8 -> 13 [size =\"48359424\"]\n  8 -> 15 [size =\"48359424\"]\n  9 [size=\"55630507\", alpha=\"0.18\", expect_size=\"16689152\"] \n  9 -> 11 [size =\"16689152\"]\n  9 -> 15 [size =\"16689152\"]\n  9 -> 15 [size =\"16689152\"]\n  9 -> 16 [size =\"16689152\"]\n  9 -> 19 [size =\"16689152\"]\n  10 [size=\"152490667\", alpha=\"0.13\", expect_size=\"45747200\"] \n  10 -> 11 [size =\"45747200\"]\n  10 -> 12 [size =\"45747200\"]\n  10 -> 18 [size =\"45747200\"]\n  10 -> 19 [size =\"45747200\"]\n  11 [size=\"159228587\", alpha=\"0.02\", expect_size=\"47768576\"] \n  11 -> 20 [size =\"47768576\"]\n  11 -> 21 [size =\"47768576\"]\n  11 -> 22 [size =\"47768576\"]\n  11 -> 26 [size =\"47768576\"]\n  11 -> 27 [size =\"47768576\"]\n  12 [size=\"154729813\", alpha=\"0.15\", expect_size=\"46418944\"] \n  12 -> 21 [size =\"46418944\"]\n  12 -> 22 [size =\"46418944\"]\n  12 -> 23 [size =\"46418944\"]\n  12 -> 26 [size =\"46418944\"]\n  12 -> 29 [size =\"46418944\"]\n  13 [size=\"120081067\", alpha=\"0.18\", expect_size=\"36024320\"] \n  13 -> 20 [size =\"36024320\"]\n  13 -> 21 [size =\"36024320\"]\n  13 -> 26 [size =\"36024320\"]\n  13 -> 28 [size =\"36024320\"]\n  14 [size=\"154309973\", alpha=\"0.13\", expect_size=\"46292992\"] \n  14 -> 21 [size =\"46292992\"]\n  14 -> 23 [size =\"46292992\"]\n  14 -> 25 [size =\"46292992\"]\n  14 -> 26 [size =\"46292992\"]\n  14 -> 27 [size =\"46292992\"]\n  14 -> 28 [size =\"46292992\"]\n  15 [size=\"59313493\", alpha=\"0.12\", expect_size=\"17794048\"] \n  15 -> 21 [size =\"17794048\"]\n  15 -> 22 [size =\"17794048\"]\n  15 -> 23 [size =\"17794048\"]\n  15 -> 25 [size =\"17794048\"]\n  15 -> 27 [size =\"17794048\"]\n  15 -> 28 [size =\"17794048\"]\n  15 -> 29 [size =\"17794048\"]\n  16 [size=\"145148587\", alpha=\"0.14\", expect_size=\"43544576\"] \n  16 -> 20 [size =\"43544576\"]\n  16 -> 27 [size =\"43544576\"]\n  16 -> 28 [size =\"43544576\"]\n  16 -> 29 [size =\"43544576\"]\n  17 [size=\"82913280\", alpha=\"0.12\", expect_size=\"24873984\"] \n  17 -> 23 [size =\"24873984\"]\n  17 -> 25 [size =\"24873984\"]\n  17 -> 26 [size =\"24873984\"]\n  17 -> 27 [size =\"24873984\"]\n  18 [size=\"74994347\", alpha=\"0.14\", expect_size=\"22498304\"] \n  18 -> 21 [size =\"22498304\"]\n  18 -> 25 [size =\"22498304\"]\n  18 -> 26 [size =\"22498304\"]\n  19 [size=\"148910080\", alpha=\"0.13\", expect_size=\"44673024\"] \n  19 -> 21 [size =\"44673024\"]\n  19 -> 22 [size =\"44673024\"]\n  19 -> 24 [size =\"44673024\"]\n  19 -> 25 [size =\"44673024\"]\n  20 [size=\"136663040\", alpha=\"0.00\", expect_size=\"40998912\"] \n  21 [size=\"83479893\", alpha=\"0.13\", expect_size=\"25043968\"] \n  22 [size=\"97112747\", alpha=\"0.12\", expect_size=\"29133824\"] \n  23 [size=\"59108693\", alpha=\"0.08\", expect_size=\"17732608\"] \n  23 -> 30 [size =\"17732608\"]\n  24 [size=\"46622720\", alpha=\"0.15\", expect_size=\"13986816\"] \n  24 -> 30 [size =\"13986816\"]\n  25 [size=\"146578773\", alpha=\"0.07\", expect_size=\"43973632\"] \n  26 [size=\"86039893\", alpha=\"0.16\", expect_size=\"25811968\"] \n  27 [size=\"37096107\", alpha=\"0.09\", expect_size=\"11128832\"] \n  27 -> 30 [size =\"11128832\"]\n  28 [size=\"127873707\", alpha=\"0.01\", expect_size=\"38362112\"] \n  28 -> 30 [size =\"38362112\"]\n  29 [size=\"83927040\", alpha=\"0.18\", expect_size=\"25178112\"] \n  30 [size=\"26129067\", alpha=\"0.11\", expect_size=\"7838720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174742187\", alpha=\"0.00\", expect_size=\"52422656\"] \n  1 -> 11 [size =\"52422656\"]\n  1 -> 14 [size =\"52422656\"]\n  1 -> 16 [size =\"52422656\"]\n  1 -> 19 [size =\"52422656\"]\n  2 [size=\"116650667\", alpha=\"0.10\", expect_size=\"34995200\"] \n  2 -> 13 [size =\"34995200\"]\n  2 -> 15 [size =\"34995200\"]\n  3 [size=\"41622187\", alpha=\"0.02\", expect_size=\"12486656\"] \n  3 -> 12 [size =\"12486656\"]\n  3 -> 16 [size =\"12486656\"]\n  4 [size=\"141636267\", alpha=\"0.20\", expect_size=\"42490880\"] \n  4 -> 17 [size =\"42490880\"]\n  5 [size=\"76895573\", alpha=\"0.14\", expect_size=\"23068672\"] \n  5 -> 11 [size =\"23068672\"]\n  5 -> 12 [size =\"23068672\"]\n  6 [size=\"85408427\", alpha=\"0.12\", expect_size=\"25622528\"] \n  6 -> 14 [size =\"25622528\"]\n  6 -> 16 [size =\"25622528\"]\n  7 [size=\"152145920\", alpha=\"0.13\", expect_size=\"45643776\"] \n  7 -> 12 [size =\"45643776\"]\n  7 -> 14 [size =\"45643776\"]\n  7 -> 15 [size =\"45643776\"]\n  7 -> 16 [size =\"45643776\"]\n  8 [size=\"21824853\", alpha=\"0.20\", expect_size=\"6547456\"] \n  8 -> 12 [size =\"6547456\"]\n  8 -> 18 [size =\"6547456\"]\n  8 -> 19 [size =\"6547456\"]\n  9 [size=\"73383253\", alpha=\"0.17\", expect_size=\"22014976\"] \n  9 -> 16 [size =\"22014976\"]\n  9 -> 19 [size =\"22014976\"]\n  9 -> 19 [size =\"22014976\"]\n  10 [size=\"159986347\", alpha=\"0.08\", expect_size=\"47995904\"] \n  11 [size=\"101232640\", alpha=\"0.15\", expect_size=\"30369792\"] \n  11 -> 22 [size =\"30369792\"]\n  11 -> 25 [size =\"30369792\"]\n  11 -> 26 [size =\"30369792\"]\n  12 [size=\"103922347\", alpha=\"0.01\", expect_size=\"31176704\"] \n  12 -> 21 [size =\"31176704\"]\n  12 -> 22 [size =\"31176704\"]\n  12 -> 23 [size =\"31176704\"]\n  12 -> 26 [size =\"31176704\"]\n  12 -> 28 [size =\"31176704\"]\n  12 -> 29 [size =\"31176704\"]\n  13 [size=\"28088320\", alpha=\"0.16\", expect_size=\"8426496\"] \n  13 -> 22 [size =\"8426496\"]\n  13 -> 23 [size =\"8426496\"]\n  13 -> 25 [size =\"8426496\"]\n  14 [size=\"46073173\", alpha=\"0.15\", expect_size=\"13821952\"] \n  14 -> 24 [size =\"13821952\"]\n  14 -> 25 [size =\"13821952\"]\n  14 -> 28 [size =\"13821952\"]\n  15 [size=\"43513173\", alpha=\"0.02\", expect_size=\"13053952\"] \n  15 -> 20 [size =\"13053952\"]\n  15 -> 28 [size =\"13053952\"]\n  16 [size=\"152756907\", alpha=\"0.05\", expect_size=\"45827072\"] \n  16 -> 22 [size =\"45827072\"]\n  16 -> 25 [size =\"45827072\"]\n  16 -> 29 [size =\"45827072\"]\n  17 [size=\"87869440\", alpha=\"0.04\", expect_size=\"26360832\"] \n  17 -> 24 [size =\"26360832\"]\n  17 -> 26 [size =\"26360832\"]\n  17 -> 27 [size =\"26360832\"]\n  18 [size=\"34379093\", alpha=\"0.17\", expect_size=\"10313728\"] \n  18 -> 20 [size =\"10313728\"]\n  18 -> 24 [size =\"10313728\"]\n  18 -> 25 [size =\"10313728\"]\n  18 -> 26 [size =\"10313728\"]\n  18 -> 27 [size =\"10313728\"]\n  19 [size=\"33361920\", alpha=\"0.13\", expect_size=\"10008576\"] \n  19 -> 26 [size =\"10008576\"]\n  19 -> 28 [size =\"10008576\"]\n  20 [size=\"169871360\", alpha=\"0.20\", expect_size=\"50961408\"] \n  21 [size=\"79001600\", alpha=\"0.06\", expect_size=\"23700480\"] \n  22 [size=\"37730987\", alpha=\"0.05\", expect_size=\"11319296\"] \n  23 [size=\"43878400\", alpha=\"0.07\", expect_size=\"13163520\"] \n  23 -> 30 [size =\"13163520\"]\n  24 [size=\"173066240\", alpha=\"0.05\", expect_size=\"51919872\"] \n  24 -> 30 [size =\"51919872\"]\n  25 [size=\"132601173\", alpha=\"0.10\", expect_size=\"39780352\"] \n  26 [size=\"147995307\", alpha=\"0.04\", expect_size=\"44398592\"] \n  27 [size=\"31238827\", alpha=\"0.15\", expect_size=\"9371648\"] \n  28 [size=\"64215040\", alpha=\"0.07\", expect_size=\"19264512\"] \n  29 [size=\"39144107\", alpha=\"0.06\", expect_size=\"11743232\"] \n  29 -> 30 [size =\"11743232\"]\n  30 [size=\"144448853\", alpha=\"0.03\", expect_size=\"43334656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31767040\", alpha=\"0.17\", expect_size=\"12706816\"] \n  1 -> 21 [size =\"12706816\"]\n  1 -> 30 [size =\"12706816\"]\n  2 [size=\"102192640\", alpha=\"0.14\", expect_size=\"40877056\"] \n  2 -> 18 [size =\"40877056\"]\n  2 -> 22 [size =\"40877056\"]\n  2 -> 28 [size =\"40877056\"]\n  2 -> 29 [size =\"40877056\"]\n  3 [size=\"120481280\", alpha=\"0.13\", expect_size=\"48192512\"] \n  3 -> 20 [size =\"48192512\"]\n  3 -> 26 [size =\"48192512\"]\n  3 -> 27 [size =\"48192512\"]\n  3 -> 29 [size =\"48192512\"]\n  3 -> 30 [size =\"48192512\"]\n  4 [size=\"25292800\", alpha=\"0.18\", expect_size=\"10117120\"] \n  4 -> 17 [size =\"10117120\"]\n  4 -> 20 [size =\"10117120\"]\n  4 -> 23 [size =\"10117120\"]\n  4 -> 25 [size =\"10117120\"]\n  4 -> 30 [size =\"10117120\"]\n  5 [size=\"119413760\", alpha=\"0.05\", expect_size=\"47765504\"] \n  5 -> 17 [size =\"47765504\"]\n  5 -> 26 [size =\"47765504\"]\n  5 -> 30 [size =\"47765504\"]\n  6 [size=\"57871360\", alpha=\"0.15\", expect_size=\"23148544\"] \n  6 -> 17 [size =\"23148544\"]\n  6 -> 18 [size =\"23148544\"]\n  6 -> 19 [size =\"23148544\"]\n  6 -> 30 [size =\"23148544\"]\n  7 [size=\"107404800\", alpha=\"0.15\", expect_size=\"42961920\"] \n  7 -> 19 [size =\"42961920\"]\n  7 -> 21 [size =\"42961920\"]\n  8 [size=\"94259200\", alpha=\"0.10\", expect_size=\"37703680\"] \n  8 -> 18 [size =\"37703680\"]\n  8 -> 19 [size =\"37703680\"]\n  8 -> 21 [size =\"37703680\"]\n  8 -> 23 [size =\"37703680\"]\n  8 -> 25 [size =\"37703680\"]\n  9 [size=\"77132800\", alpha=\"0.01\", expect_size=\"30853120\"] \n  9 -> 19 [size =\"30853120\"]\n  9 -> 21 [size =\"30853120\"]\n  9 -> 24 [size =\"30853120\"]\n  10 [size=\"124848640\", alpha=\"0.06\", expect_size=\"49939456\"] \n  10 -> 17 [size =\"49939456\"]\n  10 -> 19 [size =\"49939456\"]\n  10 -> 20 [size =\"49939456\"]\n  11 [size=\"43660800\", alpha=\"0.11\", expect_size=\"17464320\"] \n  11 -> 17 [size =\"17464320\"]\n  11 -> 26 [size =\"17464320\"]\n  12 [size=\"27804160\", alpha=\"0.16\", expect_size=\"11121664\"] \n  12 -> 24 [size =\"11121664\"]\n  13 [size=\"112483840\", alpha=\"0.20\", expect_size=\"44993536\"] \n  13 -> 17 [size =\"44993536\"]\n  13 -> 19 [size =\"44993536\"]\n  13 -> 30 [size =\"44993536\"]\n  14 [size=\"73466880\", alpha=\"0.18\", expect_size=\"29386752\"] \n  14 -> 17 [size =\"29386752\"]\n  14 -> 21 [size =\"29386752\"]\n  14 -> 23 [size =\"29386752\"]\n  14 -> 24 [size =\"29386752\"]\n  15 [size=\"60398080\", alpha=\"0.06\", expect_size=\"24159232\"] \n  15 -> 20 [size =\"24159232\"]\n  15 -> 24 [size =\"24159232\"]\n  16 [size=\"88317440\", alpha=\"0.18\", expect_size=\"35326976\"] \n  16 -> 20 [size =\"35326976\"]\n  16 -> 26 [size =\"35326976\"]\n  16 -> 30 [size =\"35326976\"]\n  17 [size=\"58900480\", alpha=\"0.01\", expect_size=\"23560192\"] \n  18 [size=\"30138880\", alpha=\"0.14\", expect_size=\"12055552\"] \n  19 [size=\"86732800\", alpha=\"0.01\", expect_size=\"34693120\"] \n  20 [size=\"90631680\", alpha=\"0.03\", expect_size=\"36252672\"] \n  21 [size=\"125936640\", alpha=\"0.08\", expect_size=\"50374656\"] \n  22 [size=\"74580480\", alpha=\"0.08\", expect_size=\"29832192\"] \n  23 [size=\"51253760\", alpha=\"0.07\", expect_size=\"20501504\"] \n  24 [size=\"49807360\", alpha=\"0.07\", expect_size=\"19922944\"] \n  25 [size=\"38320640\", alpha=\"0.06\", expect_size=\"15328256\"] \n  26 [size=\"74086400\", alpha=\"0.12\", expect_size=\"29634560\"] \n  27 [size=\"60096000\", alpha=\"0.14\", expect_size=\"24038400\"] \n  28 [size=\"68828160\", alpha=\"0.10\", expect_size=\"27531264\"] \n  29 [size=\"32166400\", alpha=\"0.16\", expect_size=\"12866560\"] \n  30 [size=\"40302080\", alpha=\"0.02\", expect_size=\"16120832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33024000\", alpha=\"0.09\", expect_size=\"16512000\"] \n  1 -> 11 [size =\"16512000\"]\n  2 [size=\"87306240\", alpha=\"0.17\", expect_size=\"43653120\"] \n  2 -> 13 [size =\"43653120\"]\n  2 -> 16 [size =\"43653120\"]\n  3 [size=\"76118016\", alpha=\"0.04\", expect_size=\"38059008\"] \n  3 -> 11 [size =\"38059008\"]\n  3 -> 14 [size =\"38059008\"]\n  3 -> 15 [size =\"38059008\"]\n  3 -> 17 [size =\"38059008\"]\n  4 [size=\"10616832\", alpha=\"0.17\", expect_size=\"5308416\"] \n  4 -> 11 [size =\"5308416\"]\n  4 -> 12 [size =\"5308416\"]\n  5 [size=\"68067328\", alpha=\"0.20\", expect_size=\"34033664\"] \n  5 -> 10 [size =\"34033664\"]\n  5 -> 11 [size =\"34033664\"]\n  6 [size=\"65832960\", alpha=\"0.06\", expect_size=\"32916480\"] \n  6 -> 11 [size =\"32916480\"]\n  6 -> 15 [size =\"32916480\"]\n  6 -> 17 [size =\"32916480\"]\n  7 [size=\"27117568\", alpha=\"0.12\", expect_size=\"13558784\"] \n  7 -> 10 [size =\"13558784\"]\n  7 -> 15 [size =\"13558784\"]\n  7 -> 18 [size =\"13558784\"]\n  8 [size=\"53469184\", alpha=\"0.16\", expect_size=\"26734592\"] \n  8 -> 10 [size =\"26734592\"]\n  8 -> 16 [size =\"26734592\"]\n  9 [size=\"80162816\", alpha=\"0.07\", expect_size=\"40081408\"] \n  9 -> 10 [size =\"40081408\"]\n  9 -> 16 [size =\"40081408\"]\n  10 [size=\"31715328\", alpha=\"0.02\", expect_size=\"15857664\"] \n  10 -> 20 [size =\"15857664\"]\n  10 -> 21 [size =\"15857664\"]\n  10 -> 22 [size =\"15857664\"]\n  10 -> 27 [size =\"15857664\"]\n  11 [size=\"70397952\", alpha=\"0.16\", expect_size=\"35198976\"] \n  11 -> 19 [size =\"35198976\"]\n  11 -> 21 [size =\"35198976\"]\n  11 -> 22 [size =\"35198976\"]\n  11 -> 27 [size =\"35198976\"]\n  12 [size=\"19888128\", alpha=\"0.07\", expect_size=\"9944064\"] \n  12 -> 20 [size =\"9944064\"]\n  12 -> 21 [size =\"9944064\"]\n  12 -> 22 [size =\"9944064\"]\n  12 -> 24 [size =\"9944064\"]\n  12 -> 26 [size =\"9944064\"]\n  12 -> 28 [size =\"9944064\"]\n  13 [size=\"101130240\", alpha=\"0.16\", expect_size=\"50565120\"] \n  13 -> 19 [size =\"50565120\"]\n  13 -> 21 [size =\"50565120\"]\n  13 -> 22 [size =\"50565120\"]\n  14 [size=\"27971584\", alpha=\"0.03\", expect_size=\"13985792\"] \n  14 -> 20 [size =\"13985792\"]\n  14 -> 24 [size =\"13985792\"]\n  14 -> 26 [size =\"13985792\"]\n  15 [size=\"11784192\", alpha=\"0.12\", expect_size=\"5892096\"] \n  15 -> 24 [size =\"5892096\"]\n  16 [size=\"103800832\", alpha=\"0.01\", expect_size=\"51900416\"] \n  16 -> 21 [size =\"51900416\"]\n  16 -> 26 [size =\"51900416\"]\n  17 [size=\"39026688\", alpha=\"0.10\", expect_size=\"19513344\"] \n  17 -> 25 [size =\"19513344\"]\n  17 -> 27 [size =\"19513344\"]\n  18 [size=\"94650368\", alpha=\"0.10\", expect_size=\"47325184\"] \n  18 -> 23 [size =\"47325184\"]\n  18 -> 26 [size =\"47325184\"]\n  19 [size=\"74715136\", alpha=\"0.11\", expect_size=\"37357568\"] \n  20 [size=\"13162496\", alpha=\"0.16\", expect_size=\"6581248\"] \n  20 -> 30 [size =\"6581248\"]\n  21 [size=\"24061952\", alpha=\"0.06\", expect_size=\"12030976\"] \n  22 [size=\"101208064\", alpha=\"0.12\", expect_size=\"50604032\"] \n  23 [size=\"39383040\", alpha=\"0.11\", expect_size=\"19691520\"] \n  24 [size=\"18571264\", alpha=\"0.11\", expect_size=\"9285632\"] \n  24 -> 29 [size =\"9285632\"]\n  25 [size=\"34881536\", alpha=\"0.03\", expect_size=\"17440768\"] \n  25 -> 29 [size =\"17440768\"]\n  25 -> 30 [size =\"17440768\"]\n  26 [size=\"90718208\", alpha=\"0.07\", expect_size=\"45359104\"] \n  27 [size=\"95322112\", alpha=\"0.14\", expect_size=\"47661056\"] \n  28 [size=\"47622144\", alpha=\"0.11\", expect_size=\"23811072\"] \n  29 [size=\"92497920\", alpha=\"0.02\", expect_size=\"46248960\"] \n  30 [size=\"52185088\", alpha=\"0.17\", expect_size=\"26092544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14041088\", alpha=\"0.13\", expect_size=\"7020544\"] \n  1 -> 2 [size =\"7020544\"]\n  2 [size=\"95592448\", alpha=\"0.05\", expect_size=\"47796224\"] \n  2 -> 3 [size =\"47796224\"]\n  3 [size=\"60966912\", alpha=\"0.03\", expect_size=\"30483456\"] \n  3 -> 4 [size =\"30483456\"]\n  4 [size=\"72847360\", alpha=\"0.17\", expect_size=\"36423680\"] \n  4 -> 5 [size =\"36423680\"]\n  5 [size=\"48656384\", alpha=\"0.09\", expect_size=\"24328192\"] \n  5 -> 6 [size =\"24328192\"]\n  6 [size=\"82561024\", alpha=\"0.08\", expect_size=\"41280512\"] \n  6 -> 7 [size =\"41280512\"]\n  7 [size=\"75677696\", alpha=\"0.16\", expect_size=\"37838848\"] \n  7 -> 8 [size =\"37838848\"]\n  8 [size=\"83042304\", alpha=\"0.17\", expect_size=\"41521152\"] \n  8 -> 9 [size =\"41521152\"]\n  9 [size=\"98162688\", alpha=\"0.15\", expect_size=\"49081344\"] \n  9 -> 10 [size =\"49081344\"]\n  10 [size=\"85714944\", alpha=\"0.13\", expect_size=\"42857472\"] \n  10 -> 11 [size =\"42857472\"]\n  11 [size=\"103376896\", alpha=\"0.15\", expect_size=\"51688448\"] \n  11 -> 12 [size =\"51688448\"]\n  12 [size=\"70285312\", alpha=\"0.08\", expect_size=\"35142656\"] \n  12 -> 13 [size =\"35142656\"]\n  13 [size=\"93784064\", alpha=\"0.14\", expect_size=\"46892032\"] \n  13 -> 14 [size =\"46892032\"]\n  14 [size=\"13062144\", alpha=\"0.01\", expect_size=\"6531072\"] \n  14 -> 15 [size =\"6531072\"]\n  15 [size=\"93200384\", alpha=\"0.08\", expect_size=\"46600192\"] \n  15 -> 16 [size =\"46600192\"]\n  16 [size=\"40591360\", alpha=\"0.09\", expect_size=\"20295680\"] \n  16 -> 17 [size =\"20295680\"]\n  17 [size=\"78555136\", alpha=\"0.08\", expect_size=\"39277568\"] \n  17 -> 18 [size =\"39277568\"]\n  18 [size=\"59334656\", alpha=\"0.04\", expect_size=\"29667328\"] \n  18 -> 19 [size =\"29667328\"]\n  19 [size=\"46032896\", alpha=\"0.01\", expect_size=\"23016448\"] \n  19 -> 20 [size =\"23016448\"]\n  20 [size=\"22466560\", alpha=\"0.01\", expect_size=\"11233280\"] \n  20 -> 21 [size =\"11233280\"]\n  21 [size=\"83456000\", alpha=\"0.01\", expect_size=\"41728000\"] \n  21 -> 22 [size =\"41728000\"]\n  22 [size=\"58916864\", alpha=\"0.20\", expect_size=\"29458432\"] \n  22 -> 23 [size =\"29458432\"]\n  23 [size=\"94478336\", alpha=\"0.09\", expect_size=\"47239168\"] \n  23 -> 24 [size =\"47239168\"]\n  24 [size=\"65406976\", alpha=\"0.11\", expect_size=\"32703488\"] \n  24 -> 25 [size =\"32703488\"]\n  25 [size=\"67932160\", alpha=\"0.02\", expect_size=\"33966080\"] \n  25 -> 26 [size =\"33966080\"]\n  26 [size=\"103424000\", alpha=\"0.08\", expect_size=\"51712000\"] \n  26 -> 27 [size =\"51712000\"]\n  27 [size=\"52211712\", alpha=\"0.07\", expect_size=\"26105856\"] \n  27 -> 28 [size =\"26105856\"]\n  28 [size=\"88150016\", alpha=\"0.02\", expect_size=\"44075008\"] \n  28 -> 29 [size =\"44075008\"]\n  29 [size=\"12924928\", alpha=\"0.16\", expect_size=\"6462464\"] \n  29 -> 30 [size =\"6462464\"]\n  30 [size=\"17172480\", alpha=\"0.05\", expect_size=\"8586240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104091648\", alpha=\"0.14\", expect_size=\"52045824\"] \n  1 -> 7 [size =\"52045824\"]\n  2 [size=\"79454208\", alpha=\"0.17\", expect_size=\"39727104\"] \n  2 -> 6 [size =\"39727104\"]\n  3 [size=\"29888512\", alpha=\"0.03\", expect_size=\"14944256\"] \n  3 -> 6 [size =\"14944256\"]\n  3 -> 7 [size =\"14944256\"]\n  3 -> 8 [size =\"14944256\"]\n  3 -> 9 [size =\"14944256\"]\n  4 [size=\"89126912\", alpha=\"0.15\", expect_size=\"44563456\"] \n  5 [size=\"79388672\", alpha=\"0.11\", expect_size=\"39694336\"] \n  5 -> 6 [size =\"39694336\"]\n  5 -> 9 [size =\"39694336\"]\n  6 [size=\"103274496\", alpha=\"0.00\", expect_size=\"51637248\"] \n  6 -> 10 [size =\"51637248\"]\n  6 -> 11 [size =\"51637248\"]\n  6 -> 14 [size =\"51637248\"]\n  7 [size=\"45189120\", alpha=\"0.01\", expect_size=\"22594560\"] \n  7 -> 10 [size =\"22594560\"]\n  7 -> 12 [size =\"22594560\"]\n  8 [size=\"67354624\", alpha=\"0.16\", expect_size=\"33677312\"] \n  8 -> 10 [size =\"33677312\"]\n  8 -> 12 [size =\"33677312\"]\n  8 -> 13 [size =\"33677312\"]\n  9 [size=\"59701248\", alpha=\"0.16\", expect_size=\"29850624\"] \n  9 -> 11 [size =\"29850624\"]\n  9 -> 12 [size =\"29850624\"]\n  9 -> 13 [size =\"29850624\"]\n  10 [size=\"30332928\", alpha=\"0.07\", expect_size=\"15166464\"] \n  11 [size=\"21551104\", alpha=\"0.12\", expect_size=\"10775552\"] \n  11 -> 15 [size =\"10775552\"]\n  11 -> 19 [size =\"10775552\"]\n  12 [size=\"87343104\", alpha=\"0.04\", expect_size=\"43671552\"] \n  12 -> 15 [size =\"43671552\"]\n  12 -> 16 [size =\"43671552\"]\n  12 -> 17 [size =\"43671552\"]\n  12 -> 18 [size =\"43671552\"]\n  13 [size=\"71020544\", alpha=\"0.01\", expect_size=\"35510272\"] \n  14 [size=\"86431744\", alpha=\"0.10\", expect_size=\"43215872\"] \n  14 -> 17 [size =\"43215872\"]\n  14 -> 19 [size =\"43215872\"]\n  15 [size=\"62222336\", alpha=\"0.05\", expect_size=\"31111168\"] \n  15 -> 20 [size =\"31111168\"]\n  15 -> 21 [size =\"31111168\"]\n  15 -> 22 [size =\"31111168\"]\n  15 -> 23 [size =\"31111168\"]\n  15 -> 24 [size =\"31111168\"]\n  16 [size=\"17401856\", alpha=\"0.13\", expect_size=\"8700928\"] \n  16 -> 21 [size =\"8700928\"]\n  16 -> 24 [size =\"8700928\"]\n  17 [size=\"17504256\", alpha=\"0.10\", expect_size=\"8752128\"] \n  17 -> 24 [size =\"8752128\"]\n  18 [size=\"23398400\", alpha=\"0.16\", expect_size=\"11699200\"] \n  18 -> 23 [size =\"11699200\"]\n  19 [size=\"99037184\", alpha=\"0.09\", expect_size=\"49518592\"] \n  19 -> 22 [size =\"49518592\"]\n  19 -> 24 [size =\"49518592\"]\n  20 [size=\"78016512\", alpha=\"0.01\", expect_size=\"39008256\"] \n  20 -> 25 [size =\"39008256\"]\n  20 -> 26 [size =\"39008256\"]\n  20 -> 27 [size =\"39008256\"]\n  21 [size=\"17565696\", alpha=\"0.13\", expect_size=\"8782848\"] \n  21 -> 25 [size =\"8782848\"]\n  21 -> 29 [size =\"8782848\"]\n  22 [size=\"74672128\", alpha=\"0.20\", expect_size=\"37336064\"] \n  22 -> 29 [size =\"37336064\"]\n  23 [size=\"91938816\", alpha=\"0.11\", expect_size=\"45969408\"] \n  23 -> 26 [size =\"45969408\"]\n  23 -> 28 [size =\"45969408\"]\n  23 -> 29 [size =\"45969408\"]\n  24 [size=\"95490048\", alpha=\"0.18\", expect_size=\"47745024\"] \n  24 -> 26 [size =\"47745024\"]\n  24 -> 28 [size =\"47745024\"]\n  25 [size=\"49014784\", alpha=\"0.20\", expect_size=\"24507392\"] \n  26 [size=\"72331264\", alpha=\"0.02\", expect_size=\"36165632\"] \n  27 [size=\"41109504\", alpha=\"0.11\", expect_size=\"20554752\"] \n  28 [size=\"86380544\", alpha=\"0.12\", expect_size=\"43190272\"] \n  29 [size=\"69521408\", alpha=\"0.03\", expect_size=\"34760704\"] \n  29 -> 30 [size =\"34760704\"]\n  30 [size=\"18169856\", alpha=\"0.19\", expect_size=\"9084928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112174080\", alpha=\"0.13\", expect_size=\"44869632\"] \n  1 -> 11 [size =\"44869632\"]\n  2 [size=\"81582080\", alpha=\"0.07\", expect_size=\"32632832\"] \n  2 -> 8 [size =\"32632832\"]\n  2 -> 9 [size =\"32632832\"]\n  2 -> 10 [size =\"32632832\"]\n  3 [size=\"42362880\", alpha=\"0.03\", expect_size=\"16945152\"] \n  3 -> 9 [size =\"16945152\"]\n  4 [size=\"108311040\", alpha=\"0.02\", expect_size=\"43324416\"] \n  4 -> 9 [size =\"43324416\"]\n  5 [size=\"35991040\", alpha=\"0.12\", expect_size=\"14396416\"] \n  5 -> 7 [size =\"14396416\"]\n  5 -> 10 [size =\"14396416\"]\n  6 [size=\"78072320\", alpha=\"0.03\", expect_size=\"31228928\"] \n  6 -> 9 [size =\"31228928\"]\n  6 -> 10 [size =\"31228928\"]\n  6 -> 12 [size =\"31228928\"]\n  7 [size=\"117511680\", alpha=\"0.19\", expect_size=\"47004672\"] \n  7 -> 16 [size =\"47004672\"]\n  8 [size=\"110031360\", alpha=\"0.09\", expect_size=\"44012544\"] \n  8 -> 15 [size =\"44012544\"]\n  8 -> 17 [size =\"44012544\"]\n  9 [size=\"105333760\", alpha=\"0.00\", expect_size=\"42133504\"] \n  9 -> 13 [size =\"42133504\"]\n  9 -> 14 [size =\"42133504\"]\n  9 -> 17 [size =\"42133504\"]\n  10 [size=\"121157120\", alpha=\"0.02\", expect_size=\"48462848\"] \n  10 -> 15 [size =\"48462848\"]\n  11 [size=\"100764160\", alpha=\"0.12\", expect_size=\"40305664\"] \n  11 -> 15 [size =\"40305664\"]\n  11 -> 16 [size =\"40305664\"]\n  11 -> 17 [size =\"40305664\"]\n  12 [size=\"56716800\", alpha=\"0.10\", expect_size=\"22686720\"] \n  12 -> 14 [size =\"22686720\"]\n  13 [size=\"99607040\", alpha=\"0.17\", expect_size=\"39842816\"] \n  13 -> 18 [size =\"39842816\"]\n  13 -> 20 [size =\"39842816\"]\n  13 -> 23 [size =\"39842816\"]\n  13 -> 25 [size =\"39842816\"]\n  13 -> 28 [size =\"39842816\"]\n  14 [size=\"114475520\", alpha=\"0.04\", expect_size=\"45790208\"] \n  14 -> 18 [size =\"45790208\"]\n  14 -> 25 [size =\"45790208\"]\n  14 -> 27 [size =\"45790208\"]\n  15 [size=\"123694080\", alpha=\"0.04\", expect_size=\"49477632\"] \n  15 -> 19 [size =\"49477632\"]\n  15 -> 20 [size =\"49477632\"]\n  15 -> 24 [size =\"49477632\"]\n  15 -> 26 [size =\"49477632\"]\n  15 -> 28 [size =\"49477632\"]\n  15 -> 29 [size =\"49477632\"]\n  15 -> 30 [size =\"49477632\"]\n  16 [size=\"79408640\", alpha=\"0.12\", expect_size=\"31763456\"] \n  16 -> 19 [size =\"31763456\"]\n  16 -> 20 [size =\"31763456\"]\n  16 -> 21 [size =\"31763456\"]\n  16 -> 25 [size =\"31763456\"]\n  16 -> 28 [size =\"31763456\"]\n  17 [size=\"94407680\", alpha=\"0.15\", expect_size=\"37763072\"] \n  17 -> 18 [size =\"37763072\"]\n  17 -> 19 [size =\"37763072\"]\n  17 -> 22 [size =\"37763072\"]\n  17 -> 24 [size =\"37763072\"]\n  17 -> 25 [size =\"37763072\"]\n  17 -> 26 [size =\"37763072\"]\n  17 -> 28 [size =\"37763072\"]\n  18 [size=\"88816640\", alpha=\"0.09\", expect_size=\"35526656\"] \n  19 [size=\"23252480\", alpha=\"0.19\", expect_size=\"9300992\"] \n  20 [size=\"25904640\", alpha=\"0.10\", expect_size=\"10361856\"] \n  21 [size=\"37857280\", alpha=\"0.19\", expect_size=\"15142912\"] \n  22 [size=\"111301120\", alpha=\"0.19\", expect_size=\"44520448\"] \n  23 [size=\"49530880\", alpha=\"0.03\", expect_size=\"19812352\"] \n  24 [size=\"34739200\", alpha=\"0.05\", expect_size=\"13895680\"] \n  25 [size=\"59356160\", alpha=\"0.10\", expect_size=\"23742464\"] \n  26 [size=\"83274240\", alpha=\"0.06\", expect_size=\"33309696\"] \n  27 [size=\"33971200\", alpha=\"0.19\", expect_size=\"13588480\"] \n  28 [size=\"121349120\", alpha=\"0.09\", expect_size=\"48539648\"] \n  29 [size=\"58165760\", alpha=\"0.15\", expect_size=\"23266304\"] \n  30 [size=\"49479680\", alpha=\"0.19\", expect_size=\"19791872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83134464\", alpha=\"0.01\", expect_size=\"41567232\"] \n  1 -> 2 [size =\"41567232\"]\n  2 [size=\"53551104\", alpha=\"0.15\", expect_size=\"26775552\"] \n  2 -> 3 [size =\"26775552\"]\n  3 [size=\"50309120\", alpha=\"0.19\", expect_size=\"25154560\"] \n  3 -> 4 [size =\"25154560\"]\n  4 [size=\"94461952\", alpha=\"0.14\", expect_size=\"47230976\"] \n  4 -> 5 [size =\"47230976\"]\n  5 [size=\"21385216\", alpha=\"0.02\", expect_size=\"10692608\"] \n  5 -> 6 [size =\"10692608\"]\n  6 [size=\"98906112\", alpha=\"0.14\", expect_size=\"49453056\"] \n  6 -> 7 [size =\"49453056\"]\n  7 [size=\"54310912\", alpha=\"0.01\", expect_size=\"27155456\"] \n  7 -> 8 [size =\"27155456\"]\n  8 [size=\"57108480\", alpha=\"0.07\", expect_size=\"28554240\"] \n  8 -> 9 [size =\"28554240\"]\n  9 [size=\"48384000\", alpha=\"0.03\", expect_size=\"24192000\"] \n  9 -> 10 [size =\"24192000\"]\n  10 [size=\"15446016\", alpha=\"0.13\", expect_size=\"7723008\"] \n  10 -> 11 [size =\"7723008\"]\n  11 [size=\"71964672\", alpha=\"0.09\", expect_size=\"35982336\"] \n  11 -> 12 [size =\"35982336\"]\n  12 [size=\"76191744\", alpha=\"0.15\", expect_size=\"38095872\"] \n  12 -> 13 [size =\"38095872\"]\n  13 [size=\"53055488\", alpha=\"0.18\", expect_size=\"26527744\"] \n  13 -> 14 [size =\"26527744\"]\n  14 [size=\"46272512\", alpha=\"0.02\", expect_size=\"23136256\"] \n  14 -> 15 [size =\"23136256\"]\n  15 [size=\"17819648\", alpha=\"0.15\", expect_size=\"8909824\"] \n  15 -> 16 [size =\"8909824\"]\n  16 [size=\"28520448\", alpha=\"0.08\", expect_size=\"14260224\"] \n  16 -> 17 [size =\"14260224\"]\n  17 [size=\"92309504\", alpha=\"0.01\", expect_size=\"46154752\"] \n  17 -> 18 [size =\"46154752\"]\n  18 [size=\"97691648\", alpha=\"0.09\", expect_size=\"48845824\"] \n  18 -> 19 [size =\"48845824\"]\n  19 [size=\"36917248\", alpha=\"0.05\", expect_size=\"18458624\"] \n  19 -> 20 [size =\"18458624\"]\n  20 [size=\"50751488\", alpha=\"0.18\", expect_size=\"25375744\"] \n  20 -> 21 [size =\"25375744\"]\n  21 [size=\"15470592\", alpha=\"0.07\", expect_size=\"7735296\"] \n  21 -> 22 [size =\"7735296\"]\n  22 [size=\"58830848\", alpha=\"0.05\", expect_size=\"29415424\"] \n  22 -> 23 [size =\"29415424\"]\n  23 [size=\"36513792\", alpha=\"0.11\", expect_size=\"18256896\"] \n  23 -> 24 [size =\"18256896\"]\n  24 [size=\"28991488\", alpha=\"0.16\", expect_size=\"14495744\"] \n  24 -> 25 [size =\"14495744\"]\n  25 [size=\"39831552\", alpha=\"0.02\", expect_size=\"19915776\"] \n  25 -> 26 [size =\"19915776\"]\n  26 [size=\"15659008\", alpha=\"0.07\", expect_size=\"7829504\"] \n  26 -> 27 [size =\"7829504\"]\n  27 [size=\"51249152\", alpha=\"0.02\", expect_size=\"25624576\"] \n  27 -> 28 [size =\"25624576\"]\n  28 [size=\"54036480\", alpha=\"0.06\", expect_size=\"27018240\"] \n  28 -> 29 [size =\"27018240\"]\n  29 [size=\"94351360\", alpha=\"0.18\", expect_size=\"47175680\"] \n  29 -> 30 [size =\"47175680\"]\n  30 [size=\"23373824\", alpha=\"0.12\", expect_size=\"11686912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95112533\", alpha=\"0.10\", expect_size=\"28533760\"] \n  1 -> 2 [size =\"28533760\"]\n  2 [size=\"140779520\", alpha=\"0.01\", expect_size=\"42233856\"] \n  2 -> 3 [size =\"42233856\"]\n  3 [size=\"47288320\", alpha=\"0.17\", expect_size=\"14186496\"] \n  3 -> 4 [size =\"14186496\"]\n  4 [size=\"59381760\", alpha=\"0.02\", expect_size=\"17814528\"] \n  4 -> 5 [size =\"17814528\"]\n  5 [size=\"145448960\", alpha=\"0.13\", expect_size=\"43634688\"] \n  5 -> 6 [size =\"43634688\"]\n  6 [size=\"35672747\", alpha=\"0.01\", expect_size=\"10701824\"] \n  6 -> 7 [size =\"10701824\"]\n  7 [size=\"44004693\", alpha=\"0.15\", expect_size=\"13201408\"] \n  7 -> 8 [size =\"13201408\"]\n  8 [size=\"70877867\", alpha=\"0.19\", expect_size=\"21263360\"] \n  8 -> 9 [size =\"21263360\"]\n  9 [size=\"93791573\", alpha=\"0.04\", expect_size=\"28137472\"] \n  9 -> 10 [size =\"28137472\"]\n  10 [size=\"25477120\", alpha=\"0.07\", expect_size=\"7643136\"] \n  10 -> 11 [size =\"7643136\"]\n  11 [size=\"60214613\", alpha=\"0.12\", expect_size=\"18064384\"] \n  11 -> 12 [size =\"18064384\"]\n  12 [size=\"137567573\", alpha=\"0.18\", expect_size=\"41270272\"] \n  12 -> 13 [size =\"41270272\"]\n  13 [size=\"148353707\", alpha=\"0.17\", expect_size=\"44506112\"] \n  13 -> 14 [size =\"44506112\"]\n  14 [size=\"121658027\", alpha=\"0.19\", expect_size=\"36497408\"] \n  14 -> 15 [size =\"36497408\"]\n  15 [size=\"140148053\", alpha=\"0.06\", expect_size=\"42044416\"] \n  15 -> 16 [size =\"42044416\"]\n  16 [size=\"82503680\", alpha=\"0.11\", expect_size=\"24751104\"] \n  16 -> 17 [size =\"24751104\"]\n  17 [size=\"91351040\", alpha=\"0.04\", expect_size=\"27405312\"] \n  17 -> 18 [size =\"27405312\"]\n  18 [size=\"53183147\", alpha=\"0.05\", expect_size=\"15954944\"] \n  18 -> 19 [size =\"15954944\"]\n  19 [size=\"46486187\", alpha=\"0.13\", expect_size=\"13945856\"] \n  19 -> 20 [size =\"13945856\"]\n  20 [size=\"78114133\", alpha=\"0.05\", expect_size=\"23434240\"] \n  20 -> 21 [size =\"23434240\"]\n  21 [size=\"134570667\", alpha=\"0.07\", expect_size=\"40371200\"] \n  21 -> 22 [size =\"40371200\"]\n  22 [size=\"69410133\", alpha=\"0.06\", expect_size=\"20823040\"] \n  22 -> 23 [size =\"20823040\"]\n  23 [size=\"57074347\", alpha=\"0.07\", expect_size=\"17122304\"] \n  23 -> 24 [size =\"17122304\"]\n  24 [size=\"30324053\", alpha=\"0.15\", expect_size=\"9097216\"] \n  24 -> 25 [size =\"9097216\"]\n  25 [size=\"21316267\", alpha=\"0.18\", expect_size=\"6394880\"] \n  25 -> 26 [size =\"6394880\"]\n  26 [size=\"66822827\", alpha=\"0.04\", expect_size=\"20046848\"] \n  26 -> 27 [size =\"20046848\"]\n  27 [size=\"154224640\", alpha=\"0.13\", expect_size=\"46267392\"] \n  27 -> 28 [size =\"46267392\"]\n  28 [size=\"32044373\", alpha=\"0.09\", expect_size=\"9613312\"] \n  28 -> 29 [size =\"9613312\"]\n  29 [size=\"69676373\", alpha=\"0.14\", expect_size=\"20902912\"] \n  29 -> 30 [size =\"20902912\"]\n  30 [size=\"169007787\", alpha=\"0.01\", expect_size=\"50702336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152623787\", alpha=\"0.10\", expect_size=\"45787136\"] \n  2 [size=\"19408213\", alpha=\"0.12\", expect_size=\"5822464\"] \n  2 -> 3 [size =\"5822464\"]\n  3 [size=\"126962347\", alpha=\"0.15\", expect_size=\"38088704\"] \n  3 -> 4 [size =\"38088704\"]\n  4 [size=\"105202347\", alpha=\"0.02\", expect_size=\"31560704\"] \n  4 -> 5 [size =\"31560704\"]\n  5 [size=\"152500907\", alpha=\"0.17\", expect_size=\"45750272\"] \n  5 -> 6 [size =\"45750272\"]\n  5 -> 7 [size =\"45750272\"]\n  6 [size=\"153487360\", alpha=\"0.12\", expect_size=\"46046208\"] \n  6 -> 8 [size =\"46046208\"]\n  7 [size=\"90600107\", alpha=\"0.18\", expect_size=\"27180032\"] \n  8 [size=\"67256320\", alpha=\"0.03\", expect_size=\"20176896\"] \n  8 -> 9 [size =\"20176896\"]\n  8 -> 10 [size =\"20176896\"]\n  9 [size=\"28542293\", alpha=\"0.20\", expect_size=\"8562688\"] \n  10 [size=\"164857173\", alpha=\"0.10\", expect_size=\"49457152\"] \n  10 -> 11 [size =\"49457152\"]\n  10 -> 12 [size =\"49457152\"]\n  11 [size=\"89869653\", alpha=\"0.04\", expect_size=\"26960896\"] \n  11 -> 13 [size =\"26960896\"]\n  12 [size=\"166874453\", alpha=\"0.06\", expect_size=\"50062336\"] \n  12 -> 14 [size =\"50062336\"]\n  13 [size=\"103966720\", alpha=\"0.18\", expect_size=\"31190016\"] \n  14 [size=\"68123307\", alpha=\"0.07\", expect_size=\"20436992\"] \n  14 -> 15 [size =\"20436992\"]\n  15 [size=\"84503893\", alpha=\"0.00\", expect_size=\"25351168\"] \n  15 -> 16 [size =\"25351168\"]\n  16 [size=\"60255573\", alpha=\"0.11\", expect_size=\"18076672\"] \n  16 -> 17 [size =\"18076672\"]\n  16 -> 18 [size =\"18076672\"]\n  17 [size=\"150893227\", alpha=\"0.04\", expect_size=\"45267968\"] \n  17 -> 19 [size =\"45267968\"]\n  18 [size=\"135656107\", alpha=\"0.02\", expect_size=\"40696832\"] \n  19 [size=\"162181120\", alpha=\"0.04\", expect_size=\"48654336\"] \n  19 -> 20 [size =\"48654336\"]\n  20 [size=\"160334507\", alpha=\"0.13\", expect_size=\"48100352\"] \n  20 -> 21 [size =\"48100352\"]\n  20 -> 22 [size =\"48100352\"]\n  21 [size=\"79370240\", alpha=\"0.19\", expect_size=\"23811072\"] \n  22 [size=\"108260693\", alpha=\"0.06\", expect_size=\"32478208\"] \n  22 -> 23 [size =\"32478208\"]\n  23 [size=\"156262400\", alpha=\"0.06\", expect_size=\"46878720\"] \n  23 -> 24 [size =\"46878720\"]\n  23 -> 25 [size =\"46878720\"]\n  24 [size=\"141103787\", alpha=\"0.18\", expect_size=\"42331136\"] \n  24 -> 26 [size =\"42331136\"]\n  24 -> 27 [size =\"42331136\"]\n  25 [size=\"40250027\", alpha=\"0.06\", expect_size=\"12075008\"] \n  26 [size=\"43219627\", alpha=\"0.13\", expect_size=\"12965888\"] \n  26 -> 28 [size =\"12965888\"]\n  27 [size=\"129908053\", alpha=\"0.08\", expect_size=\"38972416\"] \n  28 [size=\"162140160\", alpha=\"0.10\", expect_size=\"48642048\"] \n  28 -> 29 [size =\"48642048\"]\n  29 [size=\"19309227\", alpha=\"0.13\", expect_size=\"5792768\"] \n  29 -> 30 [size =\"5792768\"]\n  30 [size=\"48977920\", alpha=\"0.15\", expect_size=\"14693376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59980800\", alpha=\"0.16\", expect_size=\"23992320\"] \n  1 -> 3 [size =\"23992320\"]\n  2 [size=\"92206080\", alpha=\"0.02\", expect_size=\"36882432\"] \n  2 -> 3 [size =\"36882432\"]\n  2 -> 4 [size =\"36882432\"]\n  3 [size=\"99801600\", alpha=\"0.02\", expect_size=\"39920640\"] \n  3 -> 5 [size =\"39920640\"]\n  4 [size=\"74839040\", alpha=\"0.06\", expect_size=\"29935616\"] \n  5 [size=\"60807680\", alpha=\"0.17\", expect_size=\"24323072\"] \n  5 -> 6 [size =\"24323072\"]\n  5 -> 7 [size =\"24323072\"]\n  6 [size=\"20608000\", alpha=\"0.14\", expect_size=\"8243200\"] \n  6 -> 8 [size =\"8243200\"]\n  7 [size=\"33712640\", alpha=\"0.06\", expect_size=\"13485056\"] \n  7 -> 8 [size =\"13485056\"]\n  8 [size=\"130698240\", alpha=\"0.02\", expect_size=\"52279296\"] \n  8 -> 9 [size =\"52279296\"]\n  8 -> 10 [size =\"52279296\"]\n  9 [size=\"112760320\", alpha=\"0.13\", expect_size=\"45104128\"] \n  9 -> 11 [size =\"45104128\"]\n  9 -> 12 [size =\"45104128\"]\n  10 [size=\"97633280\", alpha=\"0.06\", expect_size=\"39053312\"] \n  10 -> 11 [size =\"39053312\"]\n  11 [size=\"60618240\", alpha=\"0.00\", expect_size=\"24247296\"] \n  11 -> 14 [size =\"24247296\"]\n  12 [size=\"39964160\", alpha=\"0.20\", expect_size=\"15985664\"] \n  12 -> 13 [size =\"15985664\"]\n  13 [size=\"52858880\", alpha=\"0.19\", expect_size=\"21143552\"] \n  13 -> 15 [size =\"21143552\"]\n  14 [size=\"63078400\", alpha=\"0.01\", expect_size=\"25231360\"] \n  14 -> 16 [size =\"25231360\"]\n  15 [size=\"97456640\", alpha=\"0.07\", expect_size=\"38982656\"] \n  15 -> 17 [size =\"38982656\"]\n  16 [size=\"81715200\", alpha=\"0.01\", expect_size=\"32686080\"] \n  16 -> 18 [size =\"32686080\"]\n  17 [size=\"47933440\", alpha=\"0.14\", expect_size=\"19173376\"] \n  17 -> 20 [size =\"19173376\"]\n  18 [size=\"84515840\", alpha=\"0.02\", expect_size=\"33806336\"] \n  18 -> 19 [size =\"33806336\"]\n  18 -> 20 [size =\"33806336\"]\n  19 [size=\"96739840\", alpha=\"0.13\", expect_size=\"38695936\"] \n  20 [size=\"54571520\", alpha=\"0.08\", expect_size=\"21828608\"] \n  20 -> 21 [size =\"21828608\"]\n  21 [size=\"87022080\", alpha=\"0.12\", expect_size=\"34808832\"] \n  21 -> 22 [size =\"34808832\"]\n  21 -> 23 [size =\"34808832\"]\n  22 [size=\"89830400\", alpha=\"0.09\", expect_size=\"35932160\"] \n  22 -> 24 [size =\"35932160\"]\n  22 -> 25 [size =\"35932160\"]\n  23 [size=\"89413120\", alpha=\"0.01\", expect_size=\"35765248\"] \n  24 [size=\"86310400\", alpha=\"0.03\", expect_size=\"34524160\"] \n  25 [size=\"94259200\", alpha=\"0.13\", expect_size=\"37703680\"] \n  25 -> 26 [size =\"37703680\"]\n  26 [size=\"19317760\", alpha=\"0.04\", expect_size=\"7727104\"] \n  26 -> 27 [size =\"7727104\"]\n  26 -> 28 [size =\"7727104\"]\n  27 [size=\"27466240\", alpha=\"0.19\", expect_size=\"10986496\"] \n  27 -> 30 [size =\"10986496\"]\n  28 [size=\"112698880\", alpha=\"0.14\", expect_size=\"45079552\"] \n  28 -> 29 [size =\"45079552\"]\n  29 [size=\"123136000\", alpha=\"0.06\", expect_size=\"49254400\"] \n  30 [size=\"79649280\", alpha=\"0.12\", expect_size=\"31859712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52241067\", alpha=\"0.13\", expect_size=\"15672320\"] \n  1 -> 3 [size =\"15672320\"]\n  2 [size=\"161911467\", alpha=\"0.01\", expect_size=\"48573440\"] \n  3 [size=\"75939840\", alpha=\"0.11\", expect_size=\"22781952\"] \n  3 -> 4 [size =\"22781952\"]\n  4 [size=\"122296320\", alpha=\"0.17\", expect_size=\"36688896\"] \n  4 -> 5 [size =\"36688896\"]\n  5 [size=\"19531093\", alpha=\"0.19\", expect_size=\"5859328\"] \n  5 -> 6 [size =\"5859328\"]\n  6 [size=\"156112213\", alpha=\"0.18\", expect_size=\"46833664\"] \n  6 -> 7 [size =\"46833664\"]\n  6 -> 8 [size =\"46833664\"]\n  7 [size=\"43642880\", alpha=\"0.15\", expect_size=\"13092864\"] \n  7 -> 9 [size =\"13092864\"]\n  7 -> 10 [size =\"13092864\"]\n  8 [size=\"120504320\", alpha=\"0.18\", expect_size=\"36151296\"] \n  9 [size=\"152169813\", alpha=\"0.11\", expect_size=\"45650944\"] \n  10 [size=\"75421013\", alpha=\"0.14\", expect_size=\"22626304\"] \n  10 -> 11 [size =\"22626304\"]\n  10 -> 12 [size =\"22626304\"]\n  11 [size=\"31890773\", alpha=\"0.17\", expect_size=\"9567232\"] \n  11 -> 13 [size =\"9567232\"]\n  12 [size=\"132003840\", alpha=\"0.05\", expect_size=\"39601152\"] \n  12 -> 13 [size =\"39601152\"]\n  13 [size=\"143069867\", alpha=\"0.14\", expect_size=\"42920960\"] \n  13 -> 14 [size =\"42920960\"]\n  14 [size=\"72106667\", alpha=\"0.19\", expect_size=\"21632000\"] \n  14 -> 15 [size =\"21632000\"]\n  14 -> 16 [size =\"21632000\"]\n  15 [size=\"46448640\", alpha=\"0.08\", expect_size=\"13934592\"] \n  15 -> 17 [size =\"13934592\"]\n  16 [size=\"39806293\", alpha=\"0.12\", expect_size=\"11941888\"] \n  16 -> 17 [size =\"11941888\"]\n  17 [size=\"25364480\", alpha=\"0.04\", expect_size=\"7609344\"] \n  17 -> 18 [size =\"7609344\"]\n  18 [size=\"139547307\", alpha=\"0.17\", expect_size=\"41864192\"] \n  18 -> 19 [size =\"41864192\"]\n  19 [size=\"126941867\", alpha=\"0.16\", expect_size=\"38082560\"] \n  19 -> 20 [size =\"38082560\"]\n  20 [size=\"55572480\", alpha=\"0.14\", expect_size=\"16671744\"] \n  20 -> 21 [size =\"16671744\"]\n  21 [size=\"168605013\", alpha=\"0.17\", expect_size=\"50581504\"] \n  21 -> 22 [size =\"50581504\"]\n  21 -> 23 [size =\"50581504\"]\n  22 [size=\"145387520\", alpha=\"0.18\", expect_size=\"43616256\"] \n  22 -> 24 [size =\"43616256\"]\n  22 -> 25 [size =\"43616256\"]\n  23 [size=\"25453227\", alpha=\"0.06\", expect_size=\"7635968\"] \n  23 -> 24 [size =\"7635968\"]\n  23 -> 25 [size =\"7635968\"]\n  24 [size=\"132481707\", alpha=\"0.07\", expect_size=\"39744512\"] \n  24 -> 26 [size =\"39744512\"]\n  24 -> 27 [size =\"39744512\"]\n  25 [size=\"126044160\", alpha=\"0.09\", expect_size=\"37813248\"] \n  25 -> 27 [size =\"37813248\"]\n  26 [size=\"35485013\", alpha=\"0.09\", expect_size=\"10645504\"] \n  26 -> 28 [size =\"10645504\"]\n  27 [size=\"127805440\", alpha=\"0.12\", expect_size=\"38341632\"] \n  27 -> 28 [size =\"38341632\"]\n  28 [size=\"159798613\", alpha=\"0.08\", expect_size=\"47939584\"] \n  28 -> 29 [size =\"47939584\"]\n  28 -> 30 [size =\"47939584\"]\n  29 [size=\"135502507\", alpha=\"0.01\", expect_size=\"40650752\"] \n  30 [size=\"105489067\", alpha=\"0.01\", expect_size=\"31646720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99041280\", alpha=\"0.20\", expect_size=\"29712384\"] \n  1 -> 28 [size =\"29712384\"]\n  1 -> 29 [size =\"29712384\"]\n  2 [size=\"158764373\", alpha=\"0.08\", expect_size=\"47629312\"] \n  2 -> 28 [size =\"47629312\"]\n  2 -> 29 [size =\"47629312\"]\n  3 [size=\"69799253\", alpha=\"0.18\", expect_size=\"20939776\"] \n  3 -> 25 [size =\"20939776\"]\n  3 -> 28 [size =\"20939776\"]\n  3 -> 29 [size =\"20939776\"]\n  4 [size=\"19346773\", alpha=\"0.20\", expect_size=\"5804032\"] \n  4 -> 28 [size =\"5804032\"]\n  4 -> 29 [size =\"5804032\"]\n  5 [size=\"133181440\", alpha=\"0.01\", expect_size=\"39954432\"] \n  5 -> 26 [size =\"39954432\"]\n  5 -> 28 [size =\"39954432\"]\n  5 -> 30 [size =\"39954432\"]\n  6 [size=\"165686613\", alpha=\"0.03\", expect_size=\"49705984\"] \n  6 -> 28 [size =\"49705984\"]\n  7 [size=\"148831573\", alpha=\"0.11\", expect_size=\"44649472\"] \n  7 -> 26 [size =\"44649472\"]\n  7 -> 27 [size =\"44649472\"]\n  7 -> 28 [size =\"44649472\"]\n  8 [size=\"96314027\", alpha=\"0.01\", expect_size=\"28894208\"] \n  8 -> 28 [size =\"28894208\"]\n  8 -> 30 [size =\"28894208\"]\n  9 [size=\"91702613\", alpha=\"0.00\", expect_size=\"27510784\"] \n  9 -> 25 [size =\"27510784\"]\n  9 -> 27 [size =\"27510784\"]\n  9 -> 28 [size =\"27510784\"]\n  10 [size=\"28040533\", alpha=\"0.16\", expect_size=\"8412160\"] \n  10 -> 26 [size =\"8412160\"]\n  11 [size=\"26866347\", alpha=\"0.16\", expect_size=\"8059904\"] \n  11 -> 28 [size =\"8059904\"]\n  12 [size=\"24934400\", alpha=\"0.03\", expect_size=\"7480320\"] \n  12 -> 29 [size =\"7480320\"]\n  13 [size=\"91371520\", alpha=\"0.12\", expect_size=\"27411456\"] \n  13 -> 28 [size =\"27411456\"]\n  14 [size=\"72342187\", alpha=\"0.19\", expect_size=\"21702656\"] \n  14 -> 26 [size =\"21702656\"]\n  14 -> 29 [size =\"21702656\"]\n  15 [size=\"70717440\", alpha=\"0.00\", expect_size=\"21215232\"] \n  15 -> 26 [size =\"21215232\"]\n  16 [size=\"81172480\", alpha=\"0.13\", expect_size=\"24351744\"] \n  16 -> 26 [size =\"24351744\"]\n  16 -> 27 [size =\"24351744\"]\n  16 -> 29 [size =\"24351744\"]\n  16 -> 30 [size =\"24351744\"]\n  17 [size=\"107717973\", alpha=\"0.15\", expect_size=\"32315392\"] \n  17 -> 26 [size =\"32315392\"]\n  17 -> 27 [size =\"32315392\"]\n  17 -> 29 [size =\"32315392\"]\n  18 [size=\"35177813\", alpha=\"0.05\", expect_size=\"10553344\"] \n  18 -> 26 [size =\"10553344\"]\n  19 [size=\"46718293\", alpha=\"0.15\", expect_size=\"14015488\"] \n  19 -> 26 [size =\"14015488\"]\n  20 [size=\"48237227\", alpha=\"0.16\", expect_size=\"14471168\"] \n  20 -> 26 [size =\"14471168\"]\n  20 -> 29 [size =\"14471168\"]\n  21 [size=\"17950720\", alpha=\"0.08\", expect_size=\"5385216\"] \n  21 -> 26 [size =\"5385216\"]\n  22 [size=\"144025600\", alpha=\"0.17\", expect_size=\"43207680\"] \n  22 -> 28 [size =\"43207680\"]\n  22 -> 29 [size =\"43207680\"]\n  23 [size=\"164188160\", alpha=\"0.13\", expect_size=\"49256448\"] \n  24 [size=\"101372587\", alpha=\"0.10\", expect_size=\"30411776\"] \n  24 -> 29 [size =\"30411776\"]\n  25 [size=\"94050987\", alpha=\"0.01\", expect_size=\"28215296\"] \n  26 [size=\"96979627\", alpha=\"0.11\", expect_size=\"29093888\"] \n  27 [size=\"45032107\", alpha=\"0.18\", expect_size=\"13509632\"] \n  28 [size=\"166109867\", alpha=\"0.15\", expect_size=\"49832960\"] \n  29 [size=\"44817067\", alpha=\"0.01\", expect_size=\"13445120\"] \n  30 [size=\"161290240\", alpha=\"0.08\", expect_size=\"48387072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30154240\", alpha=\"0.07\", expect_size=\"12061696\"] \n  1 -> 6 [size =\"12061696\"]\n  2 [size=\"90808320\", alpha=\"0.14\", expect_size=\"36323328\"] \n  2 -> 3 [size =\"36323328\"]\n  2 -> 4 [size =\"36323328\"]\n  2 -> 5 [size =\"36323328\"]\n  3 [size=\"70704640\", alpha=\"0.19\", expect_size=\"28281856\"] \n  3 -> 8 [size =\"28281856\"]\n  3 -> 9 [size =\"28281856\"]\n  4 [size=\"18073600\", alpha=\"0.20\", expect_size=\"7229440\"] \n  4 -> 7 [size =\"7229440\"]\n  5 [size=\"38346240\", alpha=\"0.15\", expect_size=\"15338496\"] \n  5 -> 9 [size =\"15338496\"]\n  6 [size=\"122173440\", alpha=\"0.08\", expect_size=\"48869376\"] \n  7 [size=\"61480960\", alpha=\"0.04\", expect_size=\"24592384\"] \n  7 -> 13 [size =\"24592384\"]\n  8 [size=\"107735040\", alpha=\"0.10\", expect_size=\"43094016\"] \n  8 -> 11 [size =\"43094016\"]\n  8 -> 12 [size =\"43094016\"]\n  8 -> 13 [size =\"43094016\"]\n  9 [size=\"122496000\", alpha=\"0.18\", expect_size=\"48998400\"] \n  9 -> 10 [size =\"48998400\"]\n  9 -> 12 [size =\"48998400\"]\n  9 -> 14 [size =\"48998400\"]\n  10 [size=\"44800000\", alpha=\"0.18\", expect_size=\"17920000\"] \n  10 -> 16 [size =\"17920000\"]\n  11 [size=\"38343680\", alpha=\"0.06\", expect_size=\"15337472\"] \n  11 -> 15 [size =\"15337472\"]\n  11 -> 18 [size =\"15337472\"]\n  12 [size=\"78161920\", alpha=\"0.18\", expect_size=\"31264768\"] \n  12 -> 16 [size =\"31264768\"]\n  12 -> 17 [size =\"31264768\"]\n  12 -> 18 [size =\"31264768\"]\n  13 [size=\"45250560\", alpha=\"0.06\", expect_size=\"18100224\"] \n  13 -> 18 [size =\"18100224\"]\n  14 [size=\"42101760\", alpha=\"0.16\", expect_size=\"16840704\"] \n  14 -> 15 [size =\"16840704\"]\n  14 -> 16 [size =\"16840704\"]\n  15 [size=\"40066560\", alpha=\"0.15\", expect_size=\"16026624\"] \n  15 -> 19 [size =\"16026624\"]\n  15 -> 21 [size =\"16026624\"]\n  16 [size=\"128168960\", alpha=\"0.06\", expect_size=\"51267584\"] \n  16 -> 19 [size =\"51267584\"]\n  16 -> 20 [size =\"51267584\"]\n  16 -> 21 [size =\"51267584\"]\n  17 [size=\"56852480\", alpha=\"0.00\", expect_size=\"22740992\"] \n  17 -> 20 [size =\"22740992\"]\n  17 -> 21 [size =\"22740992\"]\n  17 -> 22 [size =\"22740992\"]\n  18 [size=\"80391680\", alpha=\"0.14\", expect_size=\"32156672\"] \n  19 [size=\"23669760\", alpha=\"0.02\", expect_size=\"9467904\"] \n  19 -> 24 [size =\"9467904\"]\n  20 [size=\"127016960\", alpha=\"0.10\", expect_size=\"50806784\"] \n  20 -> 23 [size =\"50806784\"]\n  20 -> 24 [size =\"50806784\"]\n  21 [size=\"114037760\", alpha=\"0.01\", expect_size=\"45615104\"] \n  21 -> 23 [size =\"45615104\"]\n  21 -> 24 [size =\"45615104\"]\n  22 [size=\"30251520\", alpha=\"0.05\", expect_size=\"12100608\"] \n  22 -> 23 [size =\"12100608\"]\n  23 [size=\"16716800\", alpha=\"0.19\", expect_size=\"6686720\"] \n  23 -> 25 [size =\"6686720\"]\n  23 -> 26 [size =\"6686720\"]\n  24 [size=\"54215680\", alpha=\"0.13\", expect_size=\"21686272\"] \n  24 -> 25 [size =\"21686272\"]\n  25 [size=\"32276480\", alpha=\"0.13\", expect_size=\"12910592\"] \n  25 -> 28 [size =\"12910592\"]\n  25 -> 30 [size =\"12910592\"]\n  26 [size=\"122291200\", alpha=\"0.10\", expect_size=\"48916480\"] \n  26 -> 27 [size =\"48916480\"]\n  26 -> 28 [size =\"48916480\"]\n  26 -> 29 [size =\"48916480\"]\n  27 [size=\"39815680\", alpha=\"0.16\", expect_size=\"15926272\"] \n  28 [size=\"40138240\", alpha=\"0.18\", expect_size=\"16055296\"] \n  29 [size=\"125158400\", alpha=\"0.18\", expect_size=\"50063360\"] \n  30 [size=\"16046080\", alpha=\"0.04\", expect_size=\"6418432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83681280\", alpha=\"0.16\", expect_size=\"33472512\"] \n  1 -> 6 [size =\"33472512\"]\n  2 [size=\"120673280\", alpha=\"0.19\", expect_size=\"48269312\"] \n  2 -> 5 [size =\"48269312\"]\n  2 -> 6 [size =\"48269312\"]\n  3 [size=\"35612160\", alpha=\"0.18\", expect_size=\"14244864\"] \n  3 -> 5 [size =\"14244864\"]\n  4 [size=\"46822400\", alpha=\"0.08\", expect_size=\"18728960\"] \n  4 -> 7 [size =\"18728960\"]\n  5 [size=\"108382720\", alpha=\"0.06\", expect_size=\"43353088\"] \n  5 -> 8 [size =\"43353088\"]\n  5 -> 9 [size =\"43353088\"]\n  5 -> 10 [size =\"43353088\"]\n  5 -> 12 [size =\"43353088\"]\n  6 [size=\"112192000\", alpha=\"0.17\", expect_size=\"44876800\"] \n  6 -> 8 [size =\"44876800\"]\n  6 -> 9 [size =\"44876800\"]\n  6 -> 10 [size =\"44876800\"]\n  7 [size=\"128532480\", alpha=\"0.16\", expect_size=\"51412992\"] \n  7 -> 8 [size =\"51412992\"]\n  7 -> 9 [size =\"51412992\"]\n  7 -> 11 [size =\"51412992\"]\n  8 [size=\"115161600\", alpha=\"0.00\", expect_size=\"46064640\"] \n  8 -> 13 [size =\"46064640\"]\n  8 -> 16 [size =\"46064640\"]\n  9 [size=\"24104960\", alpha=\"0.15\", expect_size=\"9641984\"] \n  9 -> 13 [size =\"9641984\"]\n  9 -> 15 [size =\"9641984\"]\n  9 -> 16 [size =\"9641984\"]\n  10 [size=\"115020800\", alpha=\"0.10\", expect_size=\"46008320\"] \n  10 -> 13 [size =\"46008320\"]\n  10 -> 16 [size =\"46008320\"]\n  11 [size=\"28431360\", alpha=\"0.11\", expect_size=\"11372544\"] \n  11 -> 13 [size =\"11372544\"]\n  11 -> 14 [size =\"11372544\"]\n  11 -> 15 [size =\"11372544\"]\n  11 -> 16 [size =\"11372544\"]\n  12 [size=\"123438080\", alpha=\"0.04\", expect_size=\"49375232\"] \n  12 -> 14 [size =\"49375232\"]\n  12 -> 15 [size =\"49375232\"]\n  12 -> 16 [size =\"49375232\"]\n  12 -> 17 [size =\"49375232\"]\n  13 [size=\"117670400\", alpha=\"0.18\", expect_size=\"47068160\"] \n  13 -> 19 [size =\"47068160\"]\n  13 -> 20 [size =\"47068160\"]\n  14 [size=\"105320960\", alpha=\"0.08\", expect_size=\"42128384\"] \n  14 -> 20 [size =\"42128384\"]\n  15 [size=\"36195840\", alpha=\"0.10\", expect_size=\"14478336\"] \n  15 -> 18 [size =\"14478336\"]\n  15 -> 19 [size =\"14478336\"]\n  15 -> 20 [size =\"14478336\"]\n  16 [size=\"72186880\", alpha=\"0.10\", expect_size=\"28874752\"] \n  16 -> 18 [size =\"28874752\"]\n  16 -> 19 [size =\"28874752\"]\n  16 -> 20 [size =\"28874752\"]\n  17 [size=\"56048640\", alpha=\"0.16\", expect_size=\"22419456\"] \n  17 -> 18 [size =\"22419456\"]\n  17 -> 19 [size =\"22419456\"]\n  17 -> 20 [size =\"22419456\"]\n  17 -> 21 [size =\"22419456\"]\n  18 [size=\"29698560\", alpha=\"0.02\", expect_size=\"11879424\"] \n  18 -> 22 [size =\"11879424\"]\n  18 -> 23 [size =\"11879424\"]\n  18 -> 25 [size =\"11879424\"]\n  18 -> 26 [size =\"11879424\"]\n  19 [size=\"30312960\", alpha=\"0.11\", expect_size=\"12125184\"] \n  19 -> 22 [size =\"12125184\"]\n  19 -> 23 [size =\"12125184\"]\n  19 -> 25 [size =\"12125184\"]\n  20 [size=\"116456960\", alpha=\"0.04\", expect_size=\"46582784\"] \n  20 -> 22 [size =\"46582784\"]\n  20 -> 24 [size =\"46582784\"]\n  20 -> 25 [size =\"46582784\"]\n  20 -> 26 [size =\"46582784\"]\n  21 [size=\"58293760\", alpha=\"0.09\", expect_size=\"23317504\"] \n  21 -> 23 [size =\"23317504\"]\n  21 -> 26 [size =\"23317504\"]\n  22 [size=\"123860480\", alpha=\"0.13\", expect_size=\"49544192\"] \n  22 -> 27 [size =\"49544192\"]\n  22 -> 28 [size =\"49544192\"]\n  22 -> 30 [size =\"49544192\"]\n  23 [size=\"30504960\", alpha=\"0.00\", expect_size=\"12201984\"] \n  23 -> 27 [size =\"12201984\"]\n  23 -> 29 [size =\"12201984\"]\n  24 [size=\"19036160\", alpha=\"0.13\", expect_size=\"7614464\"] \n  24 -> 27 [size =\"7614464\"]\n  24 -> 28 [size =\"7614464\"]\n  24 -> 29 [size =\"7614464\"]\n  24 -> 30 [size =\"7614464\"]\n  25 [size=\"65392640\", alpha=\"0.02\", expect_size=\"26157056\"] \n  25 -> 27 [size =\"26157056\"]\n  25 -> 28 [size =\"26157056\"]\n  25 -> 30 [size =\"26157056\"]\n  25 -> 30 [size =\"26157056\"]\n  26 [size=\"125176320\", alpha=\"0.08\", expect_size=\"50070528\"] \n  26 -> 27 [size =\"50070528\"]\n  26 -> 28 [size =\"50070528\"]\n  27 [size=\"63823360\", alpha=\"0.14\", expect_size=\"25529344\"] \n  28 [size=\"37414400\", alpha=\"0.17\", expect_size=\"14965760\"] \n  29 [size=\"47011840\", alpha=\"0.02\", expect_size=\"18804736\"] \n  30 [size=\"109342720\", alpha=\"0.04\", expect_size=\"43737088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25620480\", alpha=\"0.19\", expect_size=\"12810240\"] \n  1 -> 5 [size =\"12810240\"]\n  1 -> 6 [size =\"12810240\"]\n  1 -> 8 [size =\"12810240\"]\n  2 [size=\"55506944\", alpha=\"0.06\", expect_size=\"27753472\"] \n  2 -> 5 [size =\"27753472\"]\n  2 -> 7 [size =\"27753472\"]\n  3 [size=\"27271168\", alpha=\"0.03\", expect_size=\"13635584\"] \n  4 [size=\"12292096\", alpha=\"0.13\", expect_size=\"6146048\"] \n  4 -> 5 [size =\"6146048\"]\n  4 -> 6 [size =\"6146048\"]\n  4 -> 7 [size =\"6146048\"]\n  5 [size=\"34922496\", alpha=\"0.05\", expect_size=\"17461248\"] \n  5 -> 9 [size =\"17461248\"]\n  5 -> 10 [size =\"17461248\"]\n  6 [size=\"30846976\", alpha=\"0.19\", expect_size=\"15423488\"] \n  6 -> 10 [size =\"15423488\"]\n  6 -> 11 [size =\"15423488\"]\n  7 [size=\"78075904\", alpha=\"0.11\", expect_size=\"39037952\"] \n  8 [size=\"98576384\", alpha=\"0.00\", expect_size=\"49288192\"] \n  8 -> 12 [size =\"49288192\"]\n  9 [size=\"48388096\", alpha=\"0.08\", expect_size=\"24194048\"] \n  9 -> 13 [size =\"24194048\"]\n  9 -> 16 [size =\"24194048\"]\n  10 [size=\"56754176\", alpha=\"0.18\", expect_size=\"28377088\"] \n  10 -> 15 [size =\"28377088\"]\n  10 -> 16 [size =\"28377088\"]\n  11 [size=\"74579968\", alpha=\"0.18\", expect_size=\"37289984\"] \n  11 -> 14 [size =\"37289984\"]\n  12 [size=\"68128768\", alpha=\"0.13\", expect_size=\"34064384\"] \n  12 -> 16 [size =\"34064384\"]\n  13 [size=\"96024576\", alpha=\"0.19\", expect_size=\"48012288\"] \n  13 -> 17 [size =\"48012288\"]\n  14 [size=\"15884288\", alpha=\"0.15\", expect_size=\"7942144\"] \n  14 -> 18 [size =\"7942144\"]\n  15 [size=\"75696128\", alpha=\"0.04\", expect_size=\"37848064\"] \n  15 -> 17 [size =\"37848064\"]\n  16 [size=\"99184640\", alpha=\"0.00\", expect_size=\"49592320\"] \n  16 -> 17 [size =\"49592320\"]\n  17 [size=\"93661184\", alpha=\"0.04\", expect_size=\"46830592\"] \n  17 -> 19 [size =\"46830592\"]\n  17 -> 20 [size =\"46830592\"]\n  17 -> 21 [size =\"46830592\"]\n  17 -> 22 [size =\"46830592\"]\n  18 [size=\"51744768\", alpha=\"0.18\", expect_size=\"25872384\"] \n  18 -> 20 [size =\"25872384\"]\n  18 -> 21 [size =\"25872384\"]\n  18 -> 22 [size =\"25872384\"]\n  18 -> 23 [size =\"25872384\"]\n  18 -> 24 [size =\"25872384\"]\n  19 [size=\"51951616\", alpha=\"0.20\", expect_size=\"25975808\"] \n  20 [size=\"91107328\", alpha=\"0.16\", expect_size=\"45553664\"] \n  21 [size=\"82147328\", alpha=\"0.15\", expect_size=\"41073664\"] \n  21 -> 27 [size =\"41073664\"]\n  22 [size=\"71041024\", alpha=\"0.04\", expect_size=\"35520512\"] \n  22 -> 25 [size =\"35520512\"]\n  22 -> 26 [size =\"35520512\"]\n  23 [size=\"36972544\", alpha=\"0.16\", expect_size=\"18486272\"] \n  23 -> 25 [size =\"18486272\"]\n  23 -> 28 [size =\"18486272\"]\n  24 [size=\"32917504\", alpha=\"0.08\", expect_size=\"16458752\"] \n  25 [size=\"104779776\", alpha=\"0.06\", expect_size=\"52389888\"] \n  25 -> 30 [size =\"52389888\"]\n  26 [size=\"27367424\", alpha=\"0.08\", expect_size=\"13683712\"] \n  26 -> 29 [size =\"13683712\"]\n  26 -> 30 [size =\"13683712\"]\n  27 [size=\"28061696\", alpha=\"0.04\", expect_size=\"14030848\"] \n  28 [size=\"45131776\", alpha=\"0.20\", expect_size=\"22565888\"] \n  29 [size=\"38023168\", alpha=\"0.03\", expect_size=\"19011584\"] \n  30 [size=\"37961728\", alpha=\"0.15\", expect_size=\"18980864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100833280\", alpha=\"0.19\", expect_size=\"30249984\"] \n  1 -> 3 [size =\"30249984\"]\n  1 -> 4 [size =\"30249984\"]\n  2 [size=\"141926400\", alpha=\"0.03\", expect_size=\"42577920\"] \n  3 [size=\"28538880\", alpha=\"0.02\", expect_size=\"8561664\"] \n  3 -> 5 [size =\"8561664\"]\n  4 [size=\"93511680\", alpha=\"0.17\", expect_size=\"28053504\"] \n  5 [size=\"162464427\", alpha=\"0.07\", expect_size=\"48739328\"] \n  5 -> 6 [size =\"48739328\"]\n  6 [size=\"109516800\", alpha=\"0.12\", expect_size=\"32855040\"] \n  6 -> 7 [size =\"32855040\"]\n  7 [size=\"74113707\", alpha=\"0.01\", expect_size=\"22234112\"] \n  7 -> 8 [size =\"22234112\"]\n  7 -> 9 [size =\"22234112\"]\n  8 [size=\"122129067\", alpha=\"0.19\", expect_size=\"36638720\"] \n  8 -> 10 [size =\"36638720\"]\n  9 [size=\"69683200\", alpha=\"0.20\", expect_size=\"20904960\"] \n  10 [size=\"78233600\", alpha=\"0.09\", expect_size=\"23470080\"] \n  10 -> 11 [size =\"23470080\"]\n  11 [size=\"64365227\", alpha=\"0.02\", expect_size=\"19309568\"] \n  11 -> 12 [size =\"19309568\"]\n  11 -> 13 [size =\"19309568\"]\n  12 [size=\"59299840\", alpha=\"0.00\", expect_size=\"17789952\"] \n  12 -> 14 [size =\"17789952\"]\n  13 [size=\"82496853\", alpha=\"0.15\", expect_size=\"24749056\"] \n  13 -> 14 [size =\"24749056\"]\n  14 [size=\"94300160\", alpha=\"0.03\", expect_size=\"28290048\"] \n  14 -> 15 [size =\"28290048\"]\n  15 [size=\"74144427\", alpha=\"0.13\", expect_size=\"22243328\"] \n  15 -> 16 [size =\"22243328\"]\n  16 [size=\"126262613\", alpha=\"0.06\", expect_size=\"37878784\"] \n  16 -> 17 [size =\"37878784\"]\n  16 -> 18 [size =\"37878784\"]\n  17 [size=\"65464320\", alpha=\"0.03\", expect_size=\"19639296\"] \n  18 [size=\"76083200\", alpha=\"0.11\", expect_size=\"22824960\"] \n  18 -> 19 [size =\"22824960\"]\n  18 -> 20 [size =\"22824960\"]\n  19 [size=\"71454720\", alpha=\"0.13\", expect_size=\"21436416\"] \n  19 -> 21 [size =\"21436416\"]\n  19 -> 22 [size =\"21436416\"]\n  20 [size=\"69703680\", alpha=\"0.09\", expect_size=\"20911104\"] \n  20 -> 22 [size =\"20911104\"]\n  21 [size=\"140660053\", alpha=\"0.16\", expect_size=\"42198016\"] \n  21 -> 23 [size =\"42198016\"]\n  21 -> 24 [size =\"42198016\"]\n  22 [size=\"158105600\", alpha=\"0.19\", expect_size=\"47431680\"] \n  23 [size=\"160744107\", alpha=\"0.03\", expect_size=\"48223232\"] \n  24 [size=\"123627520\", alpha=\"0.17\", expect_size=\"37088256\"] \n  24 -> 25 [size =\"37088256\"]\n  25 [size=\"151145813\", alpha=\"0.10\", expect_size=\"45343744\"] \n  25 -> 26 [size =\"45343744\"]\n  26 [size=\"94450347\", alpha=\"0.14\", expect_size=\"28335104\"] \n  26 -> 27 [size =\"28335104\"]\n  26 -> 28 [size =\"28335104\"]\n  27 [size=\"144329387\", alpha=\"0.05\", expect_size=\"43298816\"] \n  28 [size=\"166724267\", alpha=\"0.09\", expect_size=\"50017280\"] \n  28 -> 29 [size =\"50017280\"]\n  29 [size=\"92525227\", alpha=\"0.00\", expect_size=\"27757568\"] \n  29 -> 30 [size =\"27757568\"]\n  30 [size=\"37983573\", alpha=\"0.19\", expect_size=\"11395072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69339136\", alpha=\"0.00\", expect_size=\"34669568\"] \n  1 -> 11 [size =\"34669568\"]\n  1 -> 12 [size =\"34669568\"]\n  1 -> 13 [size =\"34669568\"]\n  2 [size=\"34080768\", alpha=\"0.01\", expect_size=\"17040384\"] \n  2 -> 15 [size =\"17040384\"]\n  3 [size=\"104189952\", alpha=\"0.11\", expect_size=\"52094976\"] \n  3 -> 10 [size =\"52094976\"]\n  3 -> 15 [size =\"52094976\"]\n  3 -> 17 [size =\"52094976\"]\n  3 -> 18 [size =\"52094976\"]\n  4 [size=\"72001536\", alpha=\"0.11\", expect_size=\"36000768\"] \n  4 -> 14 [size =\"36000768\"]\n  4 -> 15 [size =\"36000768\"]\n  4 -> 17 [size =\"36000768\"]\n  5 [size=\"49606656\", alpha=\"0.13\", expect_size=\"24803328\"] \n  5 -> 10 [size =\"24803328\"]\n  5 -> 13 [size =\"24803328\"]\n  5 -> 14 [size =\"24803328\"]\n  5 -> 15 [size =\"24803328\"]\n  5 -> 16 [size =\"24803328\"]\n  5 -> 18 [size =\"24803328\"]\n  6 [size=\"34795520\", alpha=\"0.01\", expect_size=\"17397760\"] \n  6 -> 10 [size =\"17397760\"]\n  6 -> 11 [size =\"17397760\"]\n  6 -> 13 [size =\"17397760\"]\n  6 -> 14 [size =\"17397760\"]\n  6 -> 15 [size =\"17397760\"]\n  6 -> 17 [size =\"17397760\"]\n  7 [size=\"72544256\", alpha=\"0.08\", expect_size=\"36272128\"] \n  7 -> 10 [size =\"36272128\"]\n  7 -> 11 [size =\"36272128\"]\n  7 -> 15 [size =\"36272128\"]\n  7 -> 16 [size =\"36272128\"]\n  8 [size=\"37222400\", alpha=\"0.01\", expect_size=\"18611200\"] \n  8 -> 10 [size =\"18611200\"]\n  8 -> 11 [size =\"18611200\"]\n  8 -> 13 [size =\"18611200\"]\n  8 -> 14 [size =\"18611200\"]\n  8 -> 16 [size =\"18611200\"]\n  9 [size=\"28180480\", alpha=\"0.01\", expect_size=\"14090240\"] \n  9 -> 10 [size =\"14090240\"]\n  9 -> 17 [size =\"14090240\"]\n  10 [size=\"70795264\", alpha=\"0.10\", expect_size=\"35397632\"] \n  10 -> 20 [size =\"35397632\"]\n  10 -> 21 [size =\"35397632\"]\n  11 [size=\"37709824\", alpha=\"0.15\", expect_size=\"18854912\"] \n  11 -> 24 [size =\"18854912\"]\n  11 -> 25 [size =\"18854912\"]\n  11 -> 27 [size =\"18854912\"]\n  12 [size=\"38899712\", alpha=\"0.11\", expect_size=\"19449856\"] \n  12 -> 22 [size =\"19449856\"]\n  12 -> 24 [size =\"19449856\"]\n  12 -> 25 [size =\"19449856\"]\n  13 [size=\"44984320\", alpha=\"0.03\", expect_size=\"22492160\"] \n  13 -> 20 [size =\"22492160\"]\n  13 -> 24 [size =\"22492160\"]\n  13 -> 25 [size =\"22492160\"]\n  14 [size=\"97794048\", alpha=\"0.05\", expect_size=\"48897024\"] \n  14 -> 21 [size =\"48897024\"]\n  14 -> 22 [size =\"48897024\"]\n  15 [size=\"53276672\", alpha=\"0.13\", expect_size=\"26638336\"] \n  15 -> 22 [size =\"26638336\"]\n  15 -> 25 [size =\"26638336\"]\n  16 [size=\"20158464\", alpha=\"0.18\", expect_size=\"10079232\"] \n  16 -> 21 [size =\"10079232\"]\n  16 -> 22 [size =\"10079232\"]\n  16 -> 23 [size =\"10079232\"]\n  16 -> 26 [size =\"10079232\"]\n  17 [size=\"23838720\", alpha=\"0.04\", expect_size=\"11919360\"] \n  17 -> 19 [size =\"11919360\"]\n  17 -> 21 [size =\"11919360\"]\n  17 -> 27 [size =\"11919360\"]\n  18 [size=\"63938560\", alpha=\"0.08\", expect_size=\"31969280\"] \n  18 -> 21 [size =\"31969280\"]\n  18 -> 25 [size =\"31969280\"]\n  18 -> 27 [size =\"31969280\"]\n  19 [size=\"66846720\", alpha=\"0.10\", expect_size=\"33423360\"] \n  19 -> 28 [size =\"33423360\"]\n  20 [size=\"70918144\", alpha=\"0.20\", expect_size=\"35459072\"] \n  20 -> 28 [size =\"35459072\"]\n  21 [size=\"22837248\", alpha=\"0.02\", expect_size=\"11418624\"] \n  22 [size=\"93880320\", alpha=\"0.09\", expect_size=\"46940160\"] \n  22 -> 29 [size =\"46940160\"]\n  23 [size=\"51306496\", alpha=\"0.15\", expect_size=\"25653248\"] \n  23 -> 29 [size =\"25653248\"]\n  23 -> 30 [size =\"25653248\"]\n  24 [size=\"66029568\", alpha=\"0.15\", expect_size=\"33014784\"] \n  24 -> 28 [size =\"33014784\"]\n  25 [size=\"91635712\", alpha=\"0.04\", expect_size=\"45817856\"] \n  26 [size=\"57266176\", alpha=\"0.17\", expect_size=\"28633088\"] \n  26 -> 28 [size =\"28633088\"]\n  27 [size=\"47431680\", alpha=\"0.03\", expect_size=\"23715840\"] \n  27 -> 28 [size =\"23715840\"]\n  27 -> 29 [size =\"23715840\"]\n  28 [size=\"66562048\", alpha=\"0.16\", expect_size=\"33281024\"] \n  29 [size=\"102328320\", alpha=\"0.12\", expect_size=\"51164160\"] \n  30 [size=\"55052288\", alpha=\"0.00\", expect_size=\"27526144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125954560\", alpha=\"0.09\", expect_size=\"50381824\"] \n  1 -> 4 [size =\"50381824\"]\n  2 [size=\"86256640\", alpha=\"0.06\", expect_size=\"34502656\"] \n  2 -> 3 [size =\"34502656\"]\n  3 [size=\"86883840\", alpha=\"0.11\", expect_size=\"34753536\"] \n  3 -> 5 [size =\"34753536\"]\n  4 [size=\"60446720\", alpha=\"0.03\", expect_size=\"24178688\"] \n  4 -> 5 [size =\"24178688\"]\n  5 [size=\"102622720\", alpha=\"0.12\", expect_size=\"41049088\"] \n  5 -> 6 [size =\"41049088\"]\n  5 -> 7 [size =\"41049088\"]\n  6 [size=\"35069440\", alpha=\"0.15\", expect_size=\"14027776\"] \n  6 -> 8 [size =\"14027776\"]\n  7 [size=\"119477760\", alpha=\"0.05\", expect_size=\"47791104\"] \n  8 [size=\"130831360\", alpha=\"0.11\", expect_size=\"52332544\"] \n  8 -> 9 [size =\"52332544\"]\n  9 [size=\"82936320\", alpha=\"0.00\", expect_size=\"33174528\"] \n  9 -> 10 [size =\"33174528\"]\n  10 [size=\"43015680\", alpha=\"0.05\", expect_size=\"17206272\"] \n  10 -> 11 [size =\"17206272\"]\n  11 [size=\"40872960\", alpha=\"0.00\", expect_size=\"16349184\"] \n  11 -> 12 [size =\"16349184\"]\n  11 -> 13 [size =\"16349184\"]\n  12 [size=\"91061760\", alpha=\"0.05\", expect_size=\"36424704\"] \n  13 [size=\"127769600\", alpha=\"0.14\", expect_size=\"51107840\"] \n  13 -> 14 [size =\"51107840\"]\n  14 [size=\"76746240\", alpha=\"0.14\", expect_size=\"30698496\"] \n  14 -> 15 [size =\"30698496\"]\n  14 -> 16 [size =\"30698496\"]\n  15 [size=\"96102400\", alpha=\"0.06\", expect_size=\"38440960\"] \n  16 [size=\"47733760\", alpha=\"0.00\", expect_size=\"19093504\"] \n  16 -> 17 [size =\"19093504\"]\n  17 [size=\"15311360\", alpha=\"0.00\", expect_size=\"6124544\"] \n  17 -> 18 [size =\"6124544\"]\n  18 [size=\"44382720\", alpha=\"0.06\", expect_size=\"17753088\"] \n  18 -> 19 [size =\"17753088\"]\n  19 [size=\"109672960\", alpha=\"0.10\", expect_size=\"43869184\"] \n  19 -> 20 [size =\"43869184\"]\n  19 -> 21 [size =\"43869184\"]\n  20 [size=\"111160320\", alpha=\"0.09\", expect_size=\"44464128\"] \n  20 -> 22 [size =\"44464128\"]\n  20 -> 23 [size =\"44464128\"]\n  21 [size=\"23334400\", alpha=\"0.06\", expect_size=\"9333760\"] \n  21 -> 22 [size =\"9333760\"]\n  21 -> 23 [size =\"9333760\"]\n  22 [size=\"25848320\", alpha=\"0.16\", expect_size=\"10339328\"] \n  22 -> 24 [size =\"10339328\"]\n  23 [size=\"54451200\", alpha=\"0.19\", expect_size=\"21780480\"] \n  24 [size=\"19973120\", alpha=\"0.09\", expect_size=\"7989248\"] \n  24 -> 25 [size =\"7989248\"]\n  24 -> 26 [size =\"7989248\"]\n  25 [size=\"102545920\", alpha=\"0.15\", expect_size=\"41018368\"] \n  25 -> 27 [size =\"41018368\"]\n  25 -> 28 [size =\"41018368\"]\n  26 [size=\"20277760\", alpha=\"0.05\", expect_size=\"8111104\"] \n  26 -> 27 [size =\"8111104\"]\n  27 [size=\"20487680\", alpha=\"0.12\", expect_size=\"8195072\"] \n  27 -> 29 [size =\"8195072\"]\n  28 [size=\"22947840\", alpha=\"0.20\", expect_size=\"9179136\"] \n  29 [size=\"58967040\", alpha=\"0.19\", expect_size=\"23586816\"] \n  29 -> 30 [size =\"23586816\"]\n  30 [size=\"117911040\", alpha=\"0.04\", expect_size=\"47164416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146551467\", alpha=\"0.17\", expect_size=\"43965440\"] \n  1 -> 6 [size =\"43965440\"]\n  1 -> 7 [size =\"43965440\"]\n  1 -> 9 [size =\"43965440\"]\n  2 [size=\"173428053\", alpha=\"0.18\", expect_size=\"52028416\"] \n  2 -> 6 [size =\"52028416\"]\n  2 -> 7 [size =\"52028416\"]\n  2 -> 8 [size =\"52028416\"]\n  2 -> 9 [size =\"52028416\"]\n  3 [size=\"28590080\", alpha=\"0.12\", expect_size=\"8577024\"] \n  3 -> 8 [size =\"8577024\"]\n  3 -> 9 [size =\"8577024\"]\n  4 [size=\"69703680\", alpha=\"0.14\", expect_size=\"20911104\"] \n  4 -> 7 [size =\"20911104\"]\n  4 -> 8 [size =\"20911104\"]\n  5 [size=\"36696747\", alpha=\"0.03\", expect_size=\"11009024\"] \n  5 -> 7 [size =\"11009024\"]\n  6 [size=\"106949973\", alpha=\"0.03\", expect_size=\"32084992\"] \n  6 -> 12 [size =\"32084992\"]\n  6 -> 13 [size =\"32084992\"]\n  6 -> 14 [size =\"32084992\"]\n  7 [size=\"30607360\", alpha=\"0.15\", expect_size=\"9182208\"] \n  7 -> 10 [size =\"9182208\"]\n  7 -> 11 [size =\"9182208\"]\n  8 [size=\"20787200\", alpha=\"0.04\", expect_size=\"6236160\"] \n  8 -> 10 [size =\"6236160\"]\n  8 -> 11 [size =\"6236160\"]\n  8 -> 13 [size =\"6236160\"]\n  9 [size=\"117889707\", alpha=\"0.12\", expect_size=\"35366912\"] \n  9 -> 10 [size =\"35366912\"]\n  9 -> 11 [size =\"35366912\"]\n  9 -> 12 [size =\"35366912\"]\n  9 -> 13 [size =\"35366912\"]\n  9 -> 14 [size =\"35366912\"]\n  9 -> 15 [size =\"35366912\"]\n  10 [size=\"112104107\", alpha=\"0.08\", expect_size=\"33631232\"] \n  10 -> 16 [size =\"33631232\"]\n  10 -> 19 [size =\"33631232\"]\n  11 [size=\"91562667\", alpha=\"0.13\", expect_size=\"27468800\"] \n  11 -> 16 [size =\"27468800\"]\n  11 -> 19 [size =\"27468800\"]\n  12 [size=\"64351573\", alpha=\"0.14\", expect_size=\"19305472\"] \n  12 -> 16 [size =\"19305472\"]\n  12 -> 18 [size =\"19305472\"]\n  12 -> 20 [size =\"19305472\"]\n  13 [size=\"51862187\", alpha=\"0.12\", expect_size=\"15558656\"] \n  13 -> 18 [size =\"15558656\"]\n  14 [size=\"142755840\", alpha=\"0.18\", expect_size=\"42826752\"] \n  14 -> 18 [size =\"42826752\"]\n  15 [size=\"94153387\", alpha=\"0.10\", expect_size=\"28246016\"] \n  15 -> 17 [size =\"28246016\"]\n  15 -> 18 [size =\"28246016\"]\n  15 -> 19 [size =\"28246016\"]\n  16 [size=\"114237440\", alpha=\"0.03\", expect_size=\"34271232\"] \n  16 -> 22 [size =\"34271232\"]\n  17 [size=\"140847787\", alpha=\"0.07\", expect_size=\"42254336\"] \n  17 -> 21 [size =\"42254336\"]\n  17 -> 23 [size =\"42254336\"]\n  17 -> 24 [size =\"42254336\"]\n  17 -> 25 [size =\"42254336\"]\n  18 [size=\"98802347\", alpha=\"0.00\", expect_size=\"29640704\"] \n  18 -> 24 [size =\"29640704\"]\n  18 -> 25 [size =\"29640704\"]\n  19 [size=\"129908053\", alpha=\"0.08\", expect_size=\"38972416\"] \n  19 -> 21 [size =\"38972416\"]\n  19 -> 24 [size =\"38972416\"]\n  20 [size=\"70365867\", alpha=\"0.11\", expect_size=\"21109760\"] \n  20 -> 21 [size =\"21109760\"]\n  20 -> 23 [size =\"21109760\"]\n  20 -> 25 [size =\"21109760\"]\n  21 [size=\"135888213\", alpha=\"0.11\", expect_size=\"40766464\"] \n  21 -> 26 [size =\"40766464\"]\n  21 -> 28 [size =\"40766464\"]\n  22 [size=\"79783253\", alpha=\"0.10\", expect_size=\"23934976\"] \n  22 -> 29 [size =\"23934976\"]\n  22 -> 30 [size =\"23934976\"]\n  23 [size=\"30317227\", alpha=\"0.11\", expect_size=\"9095168\"] \n  23 -> 27 [size =\"9095168\"]\n  23 -> 29 [size =\"9095168\"]\n  23 -> 30 [size =\"9095168\"]\n  24 [size=\"124474027\", alpha=\"0.19\", expect_size=\"37342208\"] \n  25 [size=\"112558080\", alpha=\"0.08\", expect_size=\"33767424\"] \n  25 -> 27 [size =\"33767424\"]\n  25 -> 28 [size =\"33767424\"]\n  26 [size=\"33102507\", alpha=\"0.10\", expect_size=\"9930752\"] \n  27 [size=\"60061013\", alpha=\"0.13\", expect_size=\"18018304\"] \n  28 [size=\"116278613\", alpha=\"0.16\", expect_size=\"34883584\"] \n  29 [size=\"118691840\", alpha=\"0.12\", expect_size=\"35607552\"] \n  30 [size=\"27248640\", alpha=\"0.00\", expect_size=\"8174592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28472320\", alpha=\"0.11\", expect_size=\"11388928\"] \n  1 -> 2 [size =\"11388928\"]\n  2 [size=\"108605440\", alpha=\"0.02\", expect_size=\"43442176\"] \n  2 -> 3 [size =\"43442176\"]\n  3 [size=\"21227520\", alpha=\"0.00\", expect_size=\"8491008\"] \n  3 -> 4 [size =\"8491008\"]\n  4 [size=\"86922240\", alpha=\"0.02\", expect_size=\"34768896\"] \n  4 -> 5 [size =\"34768896\"]\n  5 [size=\"37107200\", alpha=\"0.15\", expect_size=\"14842880\"] \n  5 -> 6 [size =\"14842880\"]\n  6 [size=\"102663680\", alpha=\"0.06\", expect_size=\"41065472\"] \n  6 -> 7 [size =\"41065472\"]\n  7 [size=\"15577600\", alpha=\"0.01\", expect_size=\"6231040\"] \n  7 -> 8 [size =\"6231040\"]\n  8 [size=\"125698560\", alpha=\"0.01\", expect_size=\"50279424\"] \n  8 -> 9 [size =\"50279424\"]\n  9 [size=\"87142400\", alpha=\"0.03\", expect_size=\"34856960\"] \n  9 -> 10 [size =\"34856960\"]\n  10 [size=\"39362560\", alpha=\"0.04\", expect_size=\"15745024\"] \n  10 -> 11 [size =\"15745024\"]\n  11 [size=\"96071680\", alpha=\"0.19\", expect_size=\"38428672\"] \n  11 -> 12 [size =\"38428672\"]\n  12 [size=\"44387840\", alpha=\"0.04\", expect_size=\"17755136\"] \n  12 -> 13 [size =\"17755136\"]\n  13 [size=\"56084480\", alpha=\"0.15\", expect_size=\"22433792\"] \n  13 -> 14 [size =\"22433792\"]\n  14 [size=\"57640960\", alpha=\"0.13\", expect_size=\"23056384\"] \n  14 -> 15 [size =\"23056384\"]\n  15 [size=\"69642240\", alpha=\"0.14\", expect_size=\"27856896\"] \n  15 -> 16 [size =\"27856896\"]\n  16 [size=\"38026240\", alpha=\"0.19\", expect_size=\"15210496\"] \n  16 -> 17 [size =\"15210496\"]\n  17 [size=\"72934400\", alpha=\"0.12\", expect_size=\"29173760\"] \n  17 -> 18 [size =\"29173760\"]\n  18 [size=\"76241920\", alpha=\"0.11\", expect_size=\"30496768\"] \n  18 -> 19 [size =\"30496768\"]\n  19 [size=\"80094720\", alpha=\"0.01\", expect_size=\"32037888\"] \n  19 -> 20 [size =\"32037888\"]\n  20 [size=\"98478080\", alpha=\"0.17\", expect_size=\"39391232\"] \n  20 -> 21 [size =\"39391232\"]\n  21 [size=\"122961920\", alpha=\"0.16\", expect_size=\"49184768\"] \n  21 -> 22 [size =\"49184768\"]\n  22 [size=\"116175360\", alpha=\"0.11\", expect_size=\"46470144\"] \n  22 -> 23 [size =\"46470144\"]\n  23 [size=\"23608320\", alpha=\"0.07\", expect_size=\"9443328\"] \n  23 -> 24 [size =\"9443328\"]\n  24 [size=\"113146880\", alpha=\"0.16\", expect_size=\"45258752\"] \n  24 -> 25 [size =\"45258752\"]\n  25 [size=\"70725120\", alpha=\"0.08\", expect_size=\"28290048\"] \n  25 -> 26 [size =\"28290048\"]\n  26 [size=\"36108800\", alpha=\"0.16\", expect_size=\"14443520\"] \n  26 -> 27 [size =\"14443520\"]\n  27 [size=\"30686720\", alpha=\"0.05\", expect_size=\"12274688\"] \n  27 -> 28 [size =\"12274688\"]\n  28 [size=\"102615040\", alpha=\"0.12\", expect_size=\"41046016\"] \n  28 -> 29 [size =\"41046016\"]\n  29 [size=\"51540480\", alpha=\"0.13\", expect_size=\"20616192\"] \n  29 -> 30 [size =\"20616192\"]\n  30 [size=\"56898560\", alpha=\"0.17\", expect_size=\"22759424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41232384\", alpha=\"0.10\", expect_size=\"20616192\"] \n  1 -> 2 [size =\"20616192\"]\n  2 [size=\"20224000\", alpha=\"0.17\", expect_size=\"10112000\"] \n  2 -> 3 [size =\"10112000\"]\n  3 [size=\"85565440\", alpha=\"0.07\", expect_size=\"42782720\"] \n  3 -> 4 [size =\"42782720\"]\n  4 [size=\"100450304\", alpha=\"0.19\", expect_size=\"50225152\"] \n  4 -> 5 [size =\"50225152\"]\n  5 [size=\"90021888\", alpha=\"0.04\", expect_size=\"45010944\"] \n  5 -> 6 [size =\"45010944\"]\n  6 [size=\"45168640\", alpha=\"0.02\", expect_size=\"22584320\"] \n  6 -> 7 [size =\"22584320\"]\n  7 [size=\"70975488\", alpha=\"0.03\", expect_size=\"35487744\"] \n  7 -> 8 [size =\"35487744\"]\n  8 [size=\"29288448\", alpha=\"0.01\", expect_size=\"14644224\"] \n  8 -> 9 [size =\"14644224\"]\n  9 [size=\"19077120\", alpha=\"0.12\", expect_size=\"9538560\"] \n  9 -> 10 [size =\"9538560\"]\n  10 [size=\"64995328\", alpha=\"0.16\", expect_size=\"32497664\"] \n  10 -> 11 [size =\"32497664\"]\n  11 [size=\"24920064\", alpha=\"0.18\", expect_size=\"12460032\"] \n  11 -> 12 [size =\"12460032\"]\n  12 [size=\"69885952\", alpha=\"0.13\", expect_size=\"34942976\"] \n  12 -> 13 [size =\"34942976\"]\n  13 [size=\"58052608\", alpha=\"0.18\", expect_size=\"29026304\"] \n  13 -> 14 [size =\"29026304\"]\n  14 [size=\"92975104\", alpha=\"0.14\", expect_size=\"46487552\"] \n  14 -> 15 [size =\"46487552\"]\n  15 [size=\"89886720\", alpha=\"0.08\", expect_size=\"44943360\"] \n  15 -> 16 [size =\"44943360\"]\n  16 [size=\"13336576\", alpha=\"0.14\", expect_size=\"6668288\"] \n  16 -> 17 [size =\"6668288\"]\n  17 [size=\"22906880\", alpha=\"0.16\", expect_size=\"11453440\"] \n  17 -> 18 [size =\"11453440\"]\n  18 [size=\"36106240\", alpha=\"0.06\", expect_size=\"18053120\"] \n  18 -> 19 [size =\"18053120\"]\n  19 [size=\"38875136\", alpha=\"0.04\", expect_size=\"19437568\"] \n  19 -> 20 [size =\"19437568\"]\n  20 [size=\"94210048\", alpha=\"0.17\", expect_size=\"47105024\"] \n  20 -> 21 [size =\"47105024\"]\n  21 [size=\"74715136\", alpha=\"0.16\", expect_size=\"37357568\"] \n  21 -> 22 [size =\"37357568\"]\n  22 [size=\"64757760\", alpha=\"0.17\", expect_size=\"32378880\"] \n  22 -> 23 [size =\"32378880\"]\n  23 [size=\"33284096\", alpha=\"0.14\", expect_size=\"16642048\"] \n  23 -> 24 [size =\"16642048\"]\n  24 [size=\"26003456\", alpha=\"0.10\", expect_size=\"13001728\"] \n  24 -> 25 [size =\"13001728\"]\n  25 [size=\"89782272\", alpha=\"0.02\", expect_size=\"44891136\"] \n  25 -> 26 [size =\"44891136\"]\n  26 [size=\"33515520\", alpha=\"0.03\", expect_size=\"16757760\"] \n  26 -> 27 [size =\"16757760\"]\n  27 [size=\"101218304\", alpha=\"0.16\", expect_size=\"50609152\"] \n  27 -> 28 [size =\"50609152\"]\n  28 [size=\"83081216\", alpha=\"0.13\", expect_size=\"41540608\"] \n  28 -> 29 [size =\"41540608\"]\n  29 [size=\"15796224\", alpha=\"0.11\", expect_size=\"7898112\"] \n  29 -> 30 [size =\"7898112\"]\n  30 [size=\"36651008\", alpha=\"0.02\", expect_size=\"18325504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99545088\", alpha=\"0.20\", expect_size=\"49772544\"] \n  1 -> 23 [size =\"49772544\"]\n  1 -> 25 [size =\"49772544\"]\n  1 -> 26 [size =\"49772544\"]\n  1 -> 27 [size =\"49772544\"]\n  1 -> 28 [size =\"49772544\"]\n  1 -> 29 [size =\"49772544\"]\n  2 [size=\"86001664\", alpha=\"0.01\", expect_size=\"43000832\"] \n  2 -> 24 [size =\"43000832\"]\n  2 -> 27 [size =\"43000832\"]\n  2 -> 28 [size =\"43000832\"]\n  3 [size=\"46747648\", alpha=\"0.07\", expect_size=\"23373824\"] \n  3 -> 23 [size =\"23373824\"]\n  3 -> 27 [size =\"23373824\"]\n  3 -> 28 [size =\"23373824\"]\n  3 -> 30 [size =\"23373824\"]\n  4 [size=\"38664192\", alpha=\"0.06\", expect_size=\"19332096\"] \n  4 -> 23 [size =\"19332096\"]\n  4 -> 26 [size =\"19332096\"]\n  4 -> 27 [size =\"19332096\"]\n  4 -> 28 [size =\"19332096\"]\n  5 [size=\"73533440\", alpha=\"0.09\", expect_size=\"36766720\"] \n  5 -> 22 [size =\"36766720\"]\n  5 -> 23 [size =\"36766720\"]\n  5 -> 25 [size =\"36766720\"]\n  5 -> 26 [size =\"36766720\"]\n  5 -> 27 [size =\"36766720\"]\n  6 [size=\"12476416\", alpha=\"0.20\", expect_size=\"6238208\"] \n  6 -> 25 [size =\"6238208\"]\n  6 -> 26 [size =\"6238208\"]\n  6 -> 27 [size =\"6238208\"]\n  7 [size=\"90222592\", alpha=\"0.10\", expect_size=\"45111296\"] \n  7 -> 22 [size =\"45111296\"]\n  7 -> 23 [size =\"45111296\"]\n  7 -> 25 [size =\"45111296\"]\n  7 -> 26 [size =\"45111296\"]\n  7 -> 27 [size =\"45111296\"]\n  7 -> 29 [size =\"45111296\"]\n  8 [size=\"43657216\", alpha=\"0.06\", expect_size=\"21828608\"] \n  8 -> 25 [size =\"21828608\"]\n  8 -> 26 [size =\"21828608\"]\n  8 -> 27 [size =\"21828608\"]\n  9 [size=\"53686272\", alpha=\"0.02\", expect_size=\"26843136\"] \n  9 -> 25 [size =\"26843136\"]\n  9 -> 26 [size =\"26843136\"]\n  9 -> 27 [size =\"26843136\"]\n  9 -> 28 [size =\"26843136\"]\n  10 [size=\"23564288\", alpha=\"0.13\", expect_size=\"11782144\"] \n  10 -> 23 [size =\"11782144\"]\n  10 -> 26 [size =\"11782144\"]\n  10 -> 27 [size =\"11782144\"]\n  10 -> 28 [size =\"11782144\"]\n  11 [size=\"33701888\", alpha=\"0.09\", expect_size=\"16850944\"] \n  11 -> 24 [size =\"16850944\"]\n  11 -> 26 [size =\"16850944\"]\n  11 -> 27 [size =\"16850944\"]\n  11 -> 28 [size =\"16850944\"]\n  12 [size=\"31905792\", alpha=\"0.17\", expect_size=\"15952896\"] \n  12 -> 23 [size =\"15952896\"]\n  12 -> 26 [size =\"15952896\"]\n  12 -> 27 [size =\"15952896\"]\n  12 -> 28 [size =\"15952896\"]\n  13 [size=\"34836480\", alpha=\"0.20\", expect_size=\"17418240\"] \n  13 -> 23 [size =\"17418240\"]\n  13 -> 26 [size =\"17418240\"]\n  13 -> 27 [size =\"17418240\"]\n  13 -> 28 [size =\"17418240\"]\n  14 [size=\"65570816\", alpha=\"0.06\", expect_size=\"32785408\"] \n  14 -> 22 [size =\"32785408\"]\n  14 -> 23 [size =\"32785408\"]\n  14 -> 26 [size =\"32785408\"]\n  14 -> 27 [size =\"32785408\"]\n  14 -> 28 [size =\"32785408\"]\n  14 -> 29 [size =\"32785408\"]\n  15 [size=\"92409856\", alpha=\"0.01\", expect_size=\"46204928\"] \n  15 -> 23 [size =\"46204928\"]\n  15 -> 23 [size =\"46204928\"]\n  15 -> 26 [size =\"46204928\"]\n  15 -> 27 [size =\"46204928\"]\n  15 -> 28 [size =\"46204928\"]\n  16 [size=\"42788864\", alpha=\"0.17\", expect_size=\"21394432\"] \n  16 -> 26 [size =\"21394432\"]\n  16 -> 27 [size =\"21394432\"]\n  17 [size=\"40699904\", alpha=\"0.13\", expect_size=\"20349952\"] \n  17 -> 23 [size =\"20349952\"]\n  17 -> 25 [size =\"20349952\"]\n  17 -> 26 [size =\"20349952\"]\n  17 -> 27 [size =\"20349952\"]\n  17 -> 28 [size =\"20349952\"]\n  17 -> 29 [size =\"20349952\"]\n  18 [size=\"89563136\", alpha=\"0.20\", expect_size=\"44781568\"] \n  18 -> 22 [size =\"44781568\"]\n  18 -> 26 [size =\"44781568\"]\n  18 -> 28 [size =\"44781568\"]\n  19 [size=\"25204736\", alpha=\"0.14\", expect_size=\"12602368\"] \n  19 -> 26 [size =\"12602368\"]\n  19 -> 28 [size =\"12602368\"]\n  19 -> 30 [size =\"12602368\"]\n  20 [size=\"34404352\", alpha=\"0.02\", expect_size=\"17202176\"] \n  20 -> 22 [size =\"17202176\"]\n  20 -> 26 [size =\"17202176\"]\n  21 [size=\"95162368\", alpha=\"0.08\", expect_size=\"47581184\"] \n  21 -> 26 [size =\"47581184\"]\n  21 -> 27 [size =\"47581184\"]\n  21 -> 28 [size =\"47581184\"]\n  22 [size=\"44517376\", alpha=\"0.10\", expect_size=\"22258688\"] \n  23 [size=\"32638976\", alpha=\"0.19\", expect_size=\"16319488\"] \n  24 [size=\"31375360\", alpha=\"0.15\", expect_size=\"15687680\"] \n  25 [size=\"59877376\", alpha=\"0.04\", expect_size=\"29938688\"] \n  26 [size=\"62445568\", alpha=\"0.14\", expect_size=\"31222784\"] \n  27 [size=\"46802944\", alpha=\"0.00\", expect_size=\"23401472\"] \n  28 [size=\"12933120\", alpha=\"0.14\", expect_size=\"6466560\"] \n  29 [size=\"12109824\", alpha=\"0.16\", expect_size=\"6054912\"] \n  30 [size=\"80150528\", alpha=\"0.01\", expect_size=\"40075264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64546816\", alpha=\"0.02\", expect_size=\"32273408\"] \n  1 -> 8 [size =\"32273408\"]\n  2 [size=\"45735936\", alpha=\"0.08\", expect_size=\"22867968\"] \n  2 -> 7 [size =\"22867968\"]\n  2 -> 8 [size =\"22867968\"]\n  3 [size=\"104620032\", alpha=\"0.09\", expect_size=\"52310016\"] \n  4 [size=\"16502784\", alpha=\"0.00\", expect_size=\"8251392\"] \n  4 -> 9 [size =\"8251392\"]\n  5 [size=\"36186112\", alpha=\"0.20\", expect_size=\"18093056\"] \n  5 -> 8 [size =\"18093056\"]\n  5 -> 9 [size =\"18093056\"]\n  6 [size=\"10627072\", alpha=\"0.10\", expect_size=\"5313536\"] \n  6 -> 9 [size =\"5313536\"]\n  7 [size=\"68190208\", alpha=\"0.20\", expect_size=\"34095104\"] \n  7 -> 11 [size =\"34095104\"]\n  8 [size=\"58763264\", alpha=\"0.19\", expect_size=\"29381632\"] \n  8 -> 12 [size =\"29381632\"]\n  9 [size=\"71915520\", alpha=\"0.12\", expect_size=\"35957760\"] \n  9 -> 10 [size =\"35957760\"]\n  9 -> 11 [size =\"35957760\"]\n  9 -> 12 [size =\"35957760\"]\n  9 -> 13 [size =\"35957760\"]\n  10 [size=\"90699776\", alpha=\"0.13\", expect_size=\"45349888\"] \n  10 -> 14 [size =\"45349888\"]\n  10 -> 16 [size =\"45349888\"]\n  11 [size=\"32112640\", alpha=\"0.08\", expect_size=\"16056320\"] \n  11 -> 16 [size =\"16056320\"]\n  11 -> 18 [size =\"16056320\"]\n  12 [size=\"43825152\", alpha=\"0.12\", expect_size=\"21912576\"] \n  12 -> 15 [size =\"21912576\"]\n  13 [size=\"79237120\", alpha=\"0.11\", expect_size=\"39618560\"] \n  13 -> 17 [size =\"39618560\"]\n  14 [size=\"27856896\", alpha=\"0.18\", expect_size=\"13928448\"] \n  14 -> 19 [size =\"13928448\"]\n  14 -> 21 [size =\"13928448\"]\n  14 -> 22 [size =\"13928448\"]\n  15 [size=\"29929472\", alpha=\"0.14\", expect_size=\"14964736\"] \n  15 -> 19 [size =\"14964736\"]\n  16 [size=\"29528064\", alpha=\"0.17\", expect_size=\"14764032\"] \n  16 -> 21 [size =\"14764032\"]\n  16 -> 22 [size =\"14764032\"]\n  17 [size=\"76009472\", alpha=\"0.12\", expect_size=\"38004736\"] \n  17 -> 20 [size =\"38004736\"]\n  18 [size=\"74311680\", alpha=\"0.06\", expect_size=\"37155840\"] \n  18 -> 19 [size =\"37155840\"]\n  18 -> 21 [size =\"37155840\"]\n  19 [size=\"69664768\", alpha=\"0.03\", expect_size=\"34832384\"] \n  19 -> 23 [size =\"34832384\"]\n  20 [size=\"30179328\", alpha=\"0.07\", expect_size=\"15089664\"] \n  20 -> 24 [size =\"15089664\"]\n  21 [size=\"91373568\", alpha=\"0.03\", expect_size=\"45686784\"] \n  21 -> 24 [size =\"45686784\"]\n  21 -> 25 [size =\"45686784\"]\n  22 [size=\"34598912\", alpha=\"0.06\", expect_size=\"17299456\"] \n  22 -> 26 [size =\"17299456\"]\n  23 [size=\"89006080\", alpha=\"0.09\", expect_size=\"44503040\"] \n  24 [size=\"45606912\", alpha=\"0.13\", expect_size=\"22803456\"] \n  24 -> 29 [size =\"22803456\"]\n  25 [size=\"35739648\", alpha=\"0.03\", expect_size=\"17869824\"] \n  25 -> 28 [size =\"17869824\"]\n  25 -> 29 [size =\"17869824\"]\n  26 [size=\"101390336\", alpha=\"0.13\", expect_size=\"50695168\"] \n  26 -> 27 [size =\"50695168\"]\n  27 [size=\"86065152\", alpha=\"0.15\", expect_size=\"43032576\"] \n  28 [size=\"49139712\", alpha=\"0.07\", expect_size=\"24569856\"] \n  28 -> 30 [size =\"24569856\"]\n  29 [size=\"75563008\", alpha=\"0.12\", expect_size=\"37781504\"] \n  30 [size=\"88367104\", alpha=\"0.15\", expect_size=\"44183552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31963136\", alpha=\"0.08\", expect_size=\"15981568\"] \n  1 -> 3 [size =\"15981568\"]\n  2 [size=\"47427584\", alpha=\"0.15\", expect_size=\"23713792\"] \n  2 -> 3 [size =\"23713792\"]\n  2 -> 4 [size =\"23713792\"]\n  3 [size=\"18063360\", alpha=\"0.00\", expect_size=\"9031680\"] \n  3 -> 5 [size =\"9031680\"]\n  3 -> 6 [size =\"9031680\"]\n  4 [size=\"70596608\", alpha=\"0.02\", expect_size=\"35298304\"] \n  4 -> 5 [size =\"35298304\"]\n  4 -> 6 [size =\"35298304\"]\n  5 [size=\"92870656\", alpha=\"0.02\", expect_size=\"46435328\"] \n  5 -> 7 [size =\"46435328\"]\n  5 -> 8 [size =\"46435328\"]\n  6 [size=\"72445952\", alpha=\"0.03\", expect_size=\"36222976\"] \n  6 -> 7 [size =\"36222976\"]\n  6 -> 8 [size =\"36222976\"]\n  7 [size=\"99641344\", alpha=\"0.02\", expect_size=\"49820672\"] \n  7 -> 9 [size =\"49820672\"]\n  8 [size=\"69001216\", alpha=\"0.15\", expect_size=\"34500608\"] \n  9 [size=\"86685696\", alpha=\"0.14\", expect_size=\"43342848\"] \n  9 -> 10 [size =\"43342848\"]\n  10 [size=\"83771392\", alpha=\"0.10\", expect_size=\"41885696\"] \n  10 -> 11 [size =\"41885696\"]\n  10 -> 12 [size =\"41885696\"]\n  11 [size=\"44021760\", alpha=\"0.17\", expect_size=\"22010880\"] \n  11 -> 13 [size =\"22010880\"]\n  12 [size=\"81903616\", alpha=\"0.15\", expect_size=\"40951808\"] \n  12 -> 13 [size =\"40951808\"]\n  12 -> 14 [size =\"40951808\"]\n  13 [size=\"56004608\", alpha=\"0.04\", expect_size=\"28002304\"] \n  13 -> 15 [size =\"28002304\"]\n  14 [size=\"56940544\", alpha=\"0.17\", expect_size=\"28470272\"] \n  14 -> 15 [size =\"28470272\"]\n  14 -> 16 [size =\"28470272\"]\n  15 [size=\"67774464\", alpha=\"0.03\", expect_size=\"33887232\"] \n  15 -> 17 [size =\"33887232\"]\n  15 -> 18 [size =\"33887232\"]\n  16 [size=\"74983424\", alpha=\"0.05\", expect_size=\"37491712\"] \n  16 -> 17 [size =\"37491712\"]\n  16 -> 18 [size =\"37491712\"]\n  17 [size=\"88090624\", alpha=\"0.03\", expect_size=\"44045312\"] \n  17 -> 20 [size =\"44045312\"]\n  18 [size=\"97785856\", alpha=\"0.18\", expect_size=\"48892928\"] \n  18 -> 19 [size =\"48892928\"]\n  18 -> 20 [size =\"48892928\"]\n  19 [size=\"73197568\", alpha=\"0.04\", expect_size=\"36598784\"] \n  19 -> 21 [size =\"36598784\"]\n  20 [size=\"45895680\", alpha=\"0.16\", expect_size=\"22947840\"] \n  20 -> 21 [size =\"22947840\"]\n  21 [size=\"95014912\", alpha=\"0.13\", expect_size=\"47507456\"] \n  21 -> 22 [size =\"47507456\"]\n  22 [size=\"81367040\", alpha=\"0.18\", expect_size=\"40683520\"] \n  22 -> 23 [size =\"40683520\"]\n  22 -> 24 [size =\"40683520\"]\n  23 [size=\"57194496\", alpha=\"0.05\", expect_size=\"28597248\"] \n  23 -> 25 [size =\"28597248\"]\n  23 -> 26 [size =\"28597248\"]\n  24 [size=\"74125312\", alpha=\"0.04\", expect_size=\"37062656\"] \n  24 -> 25 [size =\"37062656\"]\n  24 -> 26 [size =\"37062656\"]\n  25 [size=\"57849856\", alpha=\"0.01\", expect_size=\"28924928\"] \n  25 -> 27 [size =\"28924928\"]\n  26 [size=\"72660992\", alpha=\"0.11\", expect_size=\"36330496\"] \n  26 -> 27 [size =\"36330496\"]\n  27 [size=\"96466944\", alpha=\"0.00\", expect_size=\"48233472\"] \n  27 -> 28 [size =\"48233472\"]\n  27 -> 29 [size =\"48233472\"]\n  28 [size=\"14370816\", alpha=\"0.01\", expect_size=\"7185408\"] \n  28 -> 30 [size =\"7185408\"]\n  29 [size=\"101132288\", alpha=\"0.19\", expect_size=\"50566144\"] \n  29 -> 30 [size =\"50566144\"]\n  30 [size=\"23728128\", alpha=\"0.12\", expect_size=\"11864064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20114773\", alpha=\"0.06\", expect_size=\"6034432\"] \n  1 -> 7 [size =\"6034432\"]\n  1 -> 9 [size =\"6034432\"]\n  1 -> 10 [size =\"6034432\"]\n  2 [size=\"111165440\", alpha=\"0.11\", expect_size=\"33349632\"] \n  3 [size=\"142015147\", alpha=\"0.19\", expect_size=\"42604544\"] \n  3 -> 8 [size =\"42604544\"]\n  3 -> 10 [size =\"42604544\"]\n  4 [size=\"66597547\", alpha=\"0.13\", expect_size=\"19979264\"] \n  4 -> 10 [size =\"19979264\"]\n  5 [size=\"118237867\", alpha=\"0.12\", expect_size=\"35471360\"] \n  6 [size=\"22534827\", alpha=\"0.00\", expect_size=\"6760448\"] \n  6 -> 7 [size =\"6760448\"]\n  6 -> 10 [size =\"6760448\"]\n  7 [size=\"108468907\", alpha=\"0.19\", expect_size=\"32540672\"] \n  7 -> 13 [size =\"32540672\"]\n  8 [size=\"29272747\", alpha=\"0.16\", expect_size=\"8781824\"] \n  8 -> 11 [size =\"8781824\"]\n  8 -> 13 [size =\"8781824\"]\n  8 -> 16 [size =\"8781824\"]\n  9 [size=\"121538560\", alpha=\"0.02\", expect_size=\"36461568\"] \n  9 -> 11 [size =\"36461568\"]\n  10 [size=\"105833813\", alpha=\"0.11\", expect_size=\"31750144\"] \n  10 -> 11 [size =\"31750144\"]\n  10 -> 12 [size =\"31750144\"]\n  10 -> 14 [size =\"31750144\"]\n  10 -> 15 [size =\"31750144\"]\n  11 [size=\"65443840\", alpha=\"0.02\", expect_size=\"19633152\"] \n  11 -> 20 [size =\"19633152\"]\n  12 [size=\"112977920\", alpha=\"0.05\", expect_size=\"33893376\"] \n  12 -> 18 [size =\"33893376\"]\n  13 [size=\"39045120\", alpha=\"0.17\", expect_size=\"11713536\"] \n  13 -> 18 [size =\"11713536\"]\n  13 -> 21 [size =\"11713536\"]\n  13 -> 22 [size =\"11713536\"]\n  14 [size=\"35037867\", alpha=\"0.01\", expect_size=\"10511360\"] \n  14 -> 17 [size =\"10511360\"]\n  14 -> 19 [size =\"10511360\"]\n  14 -> 21 [size =\"10511360\"]\n  15 [size=\"134683307\", alpha=\"0.15\", expect_size=\"40404992\"] \n  15 -> 18 [size =\"40404992\"]\n  15 -> 19 [size =\"40404992\"]\n  16 [size=\"68143787\", alpha=\"0.01\", expect_size=\"20443136\"] \n  16 -> 20 [size =\"20443136\"]\n  17 [size=\"68785493\", alpha=\"0.10\", expect_size=\"20635648\"] \n  17 -> 26 [size =\"20635648\"]\n  18 [size=\"64392533\", alpha=\"0.17\", expect_size=\"19317760\"] \n  18 -> 23 [size =\"19317760\"]\n  18 -> 24 [size =\"19317760\"]\n  18 -> 26 [size =\"19317760\"]\n  19 [size=\"31767893\", alpha=\"0.03\", expect_size=\"9530368\"] \n  19 -> 23 [size =\"9530368\"]\n  19 -> 25 [size =\"9530368\"]\n  19 -> 26 [size =\"9530368\"]\n  20 [size=\"45776213\", alpha=\"0.07\", expect_size=\"13732864\"] \n  20 -> 25 [size =\"13732864\"]\n  21 [size=\"129126400\", alpha=\"0.11\", expect_size=\"38737920\"] \n  21 -> 23 [size =\"38737920\"]\n  21 -> 25 [size =\"38737920\"]\n  22 [size=\"144220160\", alpha=\"0.07\", expect_size=\"43266048\"] \n  23 [size=\"28764160\", alpha=\"0.19\", expect_size=\"8629248\"] \n  23 -> 28 [size =\"8629248\"]\n  23 -> 30 [size =\"8629248\"]\n  24 [size=\"163676160\", alpha=\"0.18\", expect_size=\"49102848\"] \n  24 -> 27 [size =\"49102848\"]\n  24 -> 28 [size =\"49102848\"]\n  24 -> 29 [size =\"49102848\"]\n  25 [size=\"171690667\", alpha=\"0.09\", expect_size=\"51507200\"] \n  25 -> 27 [size =\"51507200\"]\n  25 -> 28 [size =\"51507200\"]\n  25 -> 30 [size =\"51507200\"]\n  26 [size=\"129792000\", alpha=\"0.00\", expect_size=\"38937600\"] \n  26 -> 29 [size =\"38937600\"]\n  27 [size=\"138680320\", alpha=\"0.04\", expect_size=\"41604096\"] \n  28 [size=\"57698987\", alpha=\"0.08\", expect_size=\"17309696\"] \n  29 [size=\"35618133\", alpha=\"0.06\", expect_size=\"10685440\"] \n  30 [size=\"57716053\", alpha=\"0.16\", expect_size=\"17314816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24946688\", alpha=\"0.15\", expect_size=\"12473344\"] \n  1 -> 4 [size =\"12473344\"]\n  1 -> 6 [size =\"12473344\"]\n  1 -> 7 [size =\"12473344\"]\n  1 -> 8 [size =\"12473344\"]\n  2 [size=\"27973632\", alpha=\"0.02\", expect_size=\"13986816\"] \n  2 -> 5 [size =\"13986816\"]\n  3 [size=\"28487680\", alpha=\"0.04\", expect_size=\"14243840\"] \n  3 -> 4 [size =\"14243840\"]\n  3 -> 8 [size =\"14243840\"]\n  4 [size=\"15265792\", alpha=\"0.00\", expect_size=\"7632896\"] \n  4 -> 11 [size =\"7632896\"]\n  5 [size=\"104771584\", alpha=\"0.13\", expect_size=\"52385792\"] \n  5 -> 9 [size =\"52385792\"]\n  5 -> 12 [size =\"52385792\"]\n  5 -> 13 [size =\"52385792\"]\n  6 [size=\"31193088\", alpha=\"0.00\", expect_size=\"15596544\"] \n  6 -> 9 [size =\"15596544\"]\n  6 -> 10 [size =\"15596544\"]\n  7 [size=\"93145088\", alpha=\"0.19\", expect_size=\"46572544\"] \n  7 -> 9 [size =\"46572544\"]\n  8 [size=\"61958144\", alpha=\"0.18\", expect_size=\"30979072\"] \n  8 -> 12 [size =\"30979072\"]\n  9 [size=\"73254912\", alpha=\"0.08\", expect_size=\"36627456\"] \n  9 -> 15 [size =\"36627456\"]\n  10 [size=\"78186496\", alpha=\"0.01\", expect_size=\"39093248\"] \n  10 -> 14 [size =\"39093248\"]\n  11 [size=\"53071872\", alpha=\"0.19\", expect_size=\"26535936\"] \n  11 -> 16 [size =\"26535936\"]\n  12 [size=\"30341120\", alpha=\"0.06\", expect_size=\"15170560\"] \n  12 -> 16 [size =\"15170560\"]\n  13 [size=\"38594560\", alpha=\"0.05\", expect_size=\"19297280\"] \n  13 -> 16 [size =\"19297280\"]\n  14 [size=\"59676672\", alpha=\"0.19\", expect_size=\"29838336\"] \n  14 -> 18 [size =\"29838336\"]\n  14 -> 19 [size =\"29838336\"]\n  15 [size=\"61331456\", alpha=\"0.13\", expect_size=\"30665728\"] \n  15 -> 17 [size =\"30665728\"]\n  15 -> 20 [size =\"30665728\"]\n  16 [size=\"26374144\", alpha=\"0.08\", expect_size=\"13187072\"] \n  16 -> 17 [size =\"13187072\"]\n  17 [size=\"28723200\", alpha=\"0.15\", expect_size=\"14361600\"] \n  17 -> 23 [size =\"14361600\"]\n  18 [size=\"24117248\", alpha=\"0.14\", expect_size=\"12058624\"] \n  18 -> 22 [size =\"12058624\"]\n  18 -> 23 [size =\"12058624\"]\n  19 [size=\"12468224\", alpha=\"0.04\", expect_size=\"6234112\"] \n  19 -> 21 [size =\"6234112\"]\n  19 -> 23 [size =\"6234112\"]\n  19 -> 24 [size =\"6234112\"]\n  19 -> 25 [size =\"6234112\"]\n  20 [size=\"48271360\", alpha=\"0.01\", expect_size=\"24135680\"] \n  20 -> 21 [size =\"24135680\"]\n  20 -> 25 [size =\"24135680\"]\n  21 [size=\"54056960\", alpha=\"0.01\", expect_size=\"27028480\"] \n  21 -> 27 [size =\"27028480\"]\n  21 -> 29 [size =\"27028480\"]\n  21 -> 30 [size =\"27028480\"]\n  22 [size=\"51337216\", alpha=\"0.04\", expect_size=\"25668608\"] \n  22 -> 28 [size =\"25668608\"]\n  23 [size=\"81649664\", alpha=\"0.12\", expect_size=\"40824832\"] \n  23 -> 26 [size =\"40824832\"]\n  24 [size=\"13201408\", alpha=\"0.00\", expect_size=\"6600704\"] \n  24 -> 27 [size =\"6600704\"]\n  24 -> 30 [size =\"6600704\"]\n  25 [size=\"101154816\", alpha=\"0.09\", expect_size=\"50577408\"] \n  25 -> 27 [size =\"50577408\"]\n  26 [size=\"67948544\", alpha=\"0.01\", expect_size=\"33974272\"] \n  27 [size=\"104572928\", alpha=\"0.12\", expect_size=\"52286464\"] \n  28 [size=\"83077120\", alpha=\"0.13\", expect_size=\"41538560\"] \n  29 [size=\"53221376\", alpha=\"0.07\", expect_size=\"26610688\"] \n  30 [size=\"73596928\", alpha=\"0.16\", expect_size=\"36798464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20877312\", alpha=\"0.19\", expect_size=\"10438656\"] \n  1 -> 2 [size =\"10438656\"]\n  2 [size=\"30980096\", alpha=\"0.03\", expect_size=\"15490048\"] \n  2 -> 3 [size =\"15490048\"]\n  3 [size=\"89681920\", alpha=\"0.08\", expect_size=\"44840960\"] \n  3 -> 4 [size =\"44840960\"]\n  4 [size=\"91453440\", alpha=\"0.02\", expect_size=\"45726720\"] \n  4 -> 5 [size =\"45726720\"]\n  5 [size=\"60407808\", alpha=\"0.18\", expect_size=\"30203904\"] \n  5 -> 6 [size =\"30203904\"]\n  6 [size=\"101281792\", alpha=\"0.16\", expect_size=\"50640896\"] \n  6 -> 7 [size =\"50640896\"]\n  7 [size=\"24010752\", alpha=\"0.12\", expect_size=\"12005376\"] \n  7 -> 8 [size =\"12005376\"]\n  8 [size=\"57528320\", alpha=\"0.05\", expect_size=\"28764160\"] \n  8 -> 9 [size =\"28764160\"]\n  9 [size=\"102371328\", alpha=\"0.12\", expect_size=\"51185664\"] \n  9 -> 10 [size =\"51185664\"]\n  10 [size=\"83042304\", alpha=\"0.06\", expect_size=\"41521152\"] \n  10 -> 11 [size =\"41521152\"]\n  11 [size=\"85776384\", alpha=\"0.18\", expect_size=\"42888192\"] \n  11 -> 12 [size =\"42888192\"]\n  12 [size=\"83345408\", alpha=\"0.13\", expect_size=\"41672704\"] \n  12 -> 13 [size =\"41672704\"]\n  13 [size=\"97228800\", alpha=\"0.07\", expect_size=\"48614400\"] \n  13 -> 14 [size =\"48614400\"]\n  14 [size=\"39516160\", alpha=\"0.00\", expect_size=\"19758080\"] \n  14 -> 15 [size =\"19758080\"]\n  15 [size=\"48082944\", alpha=\"0.01\", expect_size=\"24041472\"] \n  15 -> 16 [size =\"24041472\"]\n  16 [size=\"37062656\", alpha=\"0.15\", expect_size=\"18531328\"] \n  16 -> 17 [size =\"18531328\"]\n  17 [size=\"17762304\", alpha=\"0.07\", expect_size=\"8881152\"] \n  17 -> 18 [size =\"8881152\"]\n  18 [size=\"75991040\", alpha=\"0.03\", expect_size=\"37995520\"] \n  18 -> 19 [size =\"37995520\"]\n  19 [size=\"98762752\", alpha=\"0.20\", expect_size=\"49381376\"] \n  19 -> 20 [size =\"49381376\"]\n  20 [size=\"58730496\", alpha=\"0.03\", expect_size=\"29365248\"] \n  20 -> 21 [size =\"29365248\"]\n  21 [size=\"87719936\", alpha=\"0.09\", expect_size=\"43859968\"] \n  21 -> 22 [size =\"43859968\"]\n  22 [size=\"76027904\", alpha=\"0.18\", expect_size=\"38013952\"] \n  22 -> 23 [size =\"38013952\"]\n  23 [size=\"41945088\", alpha=\"0.05\", expect_size=\"20972544\"] \n  23 -> 24 [size =\"20972544\"]\n  24 [size=\"75835392\", alpha=\"0.09\", expect_size=\"37917696\"] \n  24 -> 25 [size =\"37917696\"]\n  25 [size=\"76748800\", alpha=\"0.03\", expect_size=\"38374400\"] \n  25 -> 26 [size =\"38374400\"]\n  26 [size=\"81694720\", alpha=\"0.17\", expect_size=\"40847360\"] \n  26 -> 27 [size =\"40847360\"]\n  27 [size=\"57165824\", alpha=\"0.13\", expect_size=\"28582912\"] \n  27 -> 28 [size =\"28582912\"]\n  28 [size=\"88702976\", alpha=\"0.20\", expect_size=\"44351488\"] \n  28 -> 29 [size =\"44351488\"]\n  29 [size=\"104642560\", alpha=\"0.06\", expect_size=\"52321280\"] \n  29 -> 30 [size =\"52321280\"]\n  30 [size=\"103708672\", alpha=\"0.07\", expect_size=\"51854336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38584320\", alpha=\"0.01\", expect_size=\"15433728\"] \n  1 -> 24 [size =\"15433728\"]\n  1 -> 30 [size =\"15433728\"]\n  2 [size=\"80130560\", alpha=\"0.17\", expect_size=\"32052224\"] \n  2 -> 21 [size =\"32052224\"]\n  2 -> 23 [size =\"32052224\"]\n  2 -> 26 [size =\"32052224\"]\n  2 -> 29 [size =\"32052224\"]\n  2 -> 30 [size =\"32052224\"]\n  3 [size=\"88048640\", alpha=\"0.05\", expect_size=\"35219456\"] \n  3 -> 23 [size =\"35219456\"]\n  3 -> 24 [size =\"35219456\"]\n  3 -> 26 [size =\"35219456\"]\n  3 -> 28 [size =\"35219456\"]\n  3 -> 29 [size =\"35219456\"]\n  3 -> 30 [size =\"35219456\"]\n  4 [size=\"72284160\", alpha=\"0.08\", expect_size=\"28913664\"] \n  4 -> 21 [size =\"28913664\"]\n  4 -> 24 [size =\"28913664\"]\n  4 -> 26 [size =\"28913664\"]\n  4 -> 28 [size =\"28913664\"]\n  4 -> 29 [size =\"28913664\"]\n  4 -> 30 [size =\"28913664\"]\n  5 [size=\"122181120\", alpha=\"0.16\", expect_size=\"48872448\"] \n  5 -> 24 [size =\"48872448\"]\n  5 -> 26 [size =\"48872448\"]\n  5 -> 26 [size =\"48872448\"]\n  5 -> 27 [size =\"48872448\"]\n  5 -> 28 [size =\"48872448\"]\n  5 -> 30 [size =\"48872448\"]\n  6 [size=\"98022400\", alpha=\"0.03\", expect_size=\"39208960\"] \n  6 -> 27 [size =\"39208960\"]\n  6 -> 28 [size =\"39208960\"]\n  6 -> 30 [size =\"39208960\"]\n  7 [size=\"14528000\", alpha=\"0.11\", expect_size=\"5811200\"] \n  7 -> 26 [size =\"5811200\"]\n  7 -> 27 [size =\"5811200\"]\n  7 -> 28 [size =\"5811200\"]\n  8 [size=\"99453440\", alpha=\"0.16\", expect_size=\"39781376\"] \n  8 -> 21 [size =\"39781376\"]\n  8 -> 22 [size =\"39781376\"]\n  8 -> 28 [size =\"39781376\"]\n  8 -> 30 [size =\"39781376\"]\n  9 [size=\"99466240\", alpha=\"0.19\", expect_size=\"39786496\"] \n  9 -> 21 [size =\"39786496\"]\n  9 -> 22 [size =\"39786496\"]\n  9 -> 24 [size =\"39786496\"]\n  9 -> 30 [size =\"39786496\"]\n  10 [size=\"34014720\", alpha=\"0.20\", expect_size=\"13605888\"] \n  10 -> 22 [size =\"13605888\"]\n  10 -> 22 [size =\"13605888\"]\n  10 -> 23 [size =\"13605888\"]\n  10 -> 27 [size =\"13605888\"]\n  11 [size=\"125450240\", alpha=\"0.06\", expect_size=\"50180096\"] \n  11 -> 27 [size =\"50180096\"]\n  11 -> 28 [size =\"50180096\"]\n  12 [size=\"130775040\", alpha=\"0.00\", expect_size=\"52310016\"] \n  12 -> 22 [size =\"52310016\"]\n  12 -> 24 [size =\"52310016\"]\n  12 -> 25 [size =\"52310016\"]\n  12 -> 26 [size =\"52310016\"]\n  12 -> 27 [size =\"52310016\"]\n  13 [size=\"111452160\", alpha=\"0.02\", expect_size=\"44580864\"] \n  13 -> 24 [size =\"44580864\"]\n  13 -> 28 [size =\"44580864\"]\n  14 [size=\"20229120\", alpha=\"0.16\", expect_size=\"8091648\"] \n  14 -> 22 [size =\"8091648\"]\n  15 [size=\"67671040\", alpha=\"0.17\", expect_size=\"27068416\"] \n  15 -> 21 [size =\"27068416\"]\n  15 -> 26 [size =\"27068416\"]\n  15 -> 27 [size =\"27068416\"]\n  15 -> 29 [size =\"27068416\"]\n  15 -> 30 [size =\"27068416\"]\n  16 [size=\"42009600\", alpha=\"0.13\", expect_size=\"16803840\"] \n  16 -> 23 [size =\"16803840\"]\n  16 -> 24 [size =\"16803840\"]\n  16 -> 26 [size =\"16803840\"]\n  16 -> 27 [size =\"16803840\"]\n  16 -> 29 [size =\"16803840\"]\n  17 [size=\"60072960\", alpha=\"0.11\", expect_size=\"24029184\"] \n  17 -> 20 [size =\"24029184\"]\n  17 -> 22 [size =\"24029184\"]\n  17 -> 23 [size =\"24029184\"]\n  17 -> 24 [size =\"24029184\"]\n  17 -> 26 [size =\"24029184\"]\n  17 -> 27 [size =\"24029184\"]\n  17 -> 28 [size =\"24029184\"]\n  17 -> 29 [size =\"24029184\"]\n  17 -> 30 [size =\"24029184\"]\n  18 [size=\"123648000\", alpha=\"0.10\", expect_size=\"49459200\"] \n  18 -> 21 [size =\"49459200\"]\n  18 -> 23 [size =\"49459200\"]\n  18 -> 25 [size =\"49459200\"]\n  18 -> 26 [size =\"49459200\"]\n  18 -> 27 [size =\"49459200\"]\n  18 -> 27 [size =\"49459200\"]\n  19 [size=\"100444160\", alpha=\"0.05\", expect_size=\"40177664\"] \n  19 -> 21 [size =\"40177664\"]\n  19 -> 26 [size =\"40177664\"]\n  20 [size=\"91955200\", alpha=\"0.02\", expect_size=\"36782080\"] \n  21 [size=\"90058240\", alpha=\"0.03\", expect_size=\"36023296\"] \n  22 [size=\"127787520\", alpha=\"0.16\", expect_size=\"51115008\"] \n  23 [size=\"127984640\", alpha=\"0.01\", expect_size=\"51193856\"] \n  24 [size=\"22305280\", alpha=\"0.17\", expect_size=\"8922112\"] \n  25 [size=\"116963840\", alpha=\"0.11\", expect_size=\"46785536\"] \n  26 [size=\"101747200\", alpha=\"0.20\", expect_size=\"40698880\"] \n  27 [size=\"62760960\", alpha=\"0.08\", expect_size=\"25104384\"] \n  28 [size=\"124774400\", alpha=\"0.12\", expect_size=\"49909760\"] \n  29 [size=\"63488000\", alpha=\"0.09\", expect_size=\"25395200\"] \n  30 [size=\"90293760\", alpha=\"0.11\", expect_size=\"36117504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61190827\", alpha=\"0.02\", expect_size=\"18357248\"] \n  1 -> 17 [size =\"18357248\"]\n  1 -> 19 [size =\"18357248\"]\n  2 [size=\"19418453\", alpha=\"0.09\", expect_size=\"5825536\"] \n  2 -> 16 [size =\"5825536\"]\n  2 -> 19 [size =\"5825536\"]\n  3 [size=\"136997547\", alpha=\"0.06\", expect_size=\"41099264\"] \n  3 -> 12 [size =\"41099264\"]\n  3 -> 16 [size =\"41099264\"]\n  3 -> 17 [size =\"41099264\"]\n  4 [size=\"112438613\", alpha=\"0.18\", expect_size=\"33731584\"] \n  4 -> 16 [size =\"33731584\"]\n  4 -> 17 [size =\"33731584\"]\n  5 [size=\"17844907\", alpha=\"0.11\", expect_size=\"5353472\"] \n  5 -> 11 [size =\"5353472\"]\n  5 -> 13 [size =\"5353472\"]\n  6 [size=\"63525547\", alpha=\"0.01\", expect_size=\"19057664\"] \n  6 -> 19 [size =\"19057664\"]\n  7 [size=\"149760000\", alpha=\"0.17\", expect_size=\"44928000\"] \n  7 -> 15 [size =\"44928000\"]\n  8 [size=\"50449067\", alpha=\"0.10\", expect_size=\"15134720\"] \n  8 -> 17 [size =\"15134720\"]\n  9 [size=\"62327467\", alpha=\"0.16\", expect_size=\"18698240\"] \n  9 -> 13 [size =\"18698240\"]\n  9 -> 14 [size =\"18698240\"]\n  9 -> 16 [size =\"18698240\"]\n  9 -> 17 [size =\"18698240\"]\n  9 -> 19 [size =\"18698240\"]\n  10 [size=\"60241920\", alpha=\"0.05\", expect_size=\"18072576\"] \n  10 -> 14 [size =\"18072576\"]\n  10 -> 18 [size =\"18072576\"]\n  10 -> 19 [size =\"18072576\"]\n  11 [size=\"78039040\", alpha=\"0.04\", expect_size=\"23411712\"] \n  11 -> 21 [size =\"23411712\"]\n  11 -> 22 [size =\"23411712\"]\n  11 -> 24 [size =\"23411712\"]\n  11 -> 25 [size =\"23411712\"]\n  11 -> 26 [size =\"23411712\"]\n  12 [size=\"97239040\", alpha=\"0.11\", expect_size=\"29171712\"] \n  12 -> 21 [size =\"29171712\"]\n  12 -> 23 [size =\"29171712\"]\n  12 -> 27 [size =\"29171712\"]\n  13 [size=\"165901653\", alpha=\"0.13\", expect_size=\"49770496\"] \n  13 -> 20 [size =\"49770496\"]\n  13 -> 21 [size =\"49770496\"]\n  13 -> 22 [size =\"49770496\"]\n  13 -> 25 [size =\"49770496\"]\n  14 [size=\"55483733\", alpha=\"0.01\", expect_size=\"16645120\"] \n  14 -> 20 [size =\"16645120\"]\n  14 -> 21 [size =\"16645120\"]\n  14 -> 25 [size =\"16645120\"]\n  14 -> 27 [size =\"16645120\"]\n  14 -> 28 [size =\"16645120\"]\n  15 [size=\"39837013\", alpha=\"0.17\", expect_size=\"11951104\"] \n  15 -> 23 [size =\"11951104\"]\n  15 -> 24 [size =\"11951104\"]\n  15 -> 26 [size =\"11951104\"]\n  15 -> 27 [size =\"11951104\"]\n  16 [size=\"128484693\", alpha=\"0.12\", expect_size=\"38545408\"] \n  16 -> 20 [size =\"38545408\"]\n  16 -> 22 [size =\"38545408\"]\n  16 -> 23 [size =\"38545408\"]\n  16 -> 28 [size =\"38545408\"]\n  17 [size=\"138543787\", alpha=\"0.17\", expect_size=\"41563136\"] \n  17 -> 28 [size =\"41563136\"]\n  18 [size=\"116882773\", alpha=\"0.18\", expect_size=\"35064832\"] \n  18 -> 21 [size =\"35064832\"]\n  18 -> 24 [size =\"35064832\"]\n  18 -> 25 [size =\"35064832\"]\n  19 [size=\"40717653\", alpha=\"0.06\", expect_size=\"12215296\"] \n  19 -> 20 [size =\"12215296\"]\n  19 -> 21 [size =\"12215296\"]\n  19 -> 26 [size =\"12215296\"]\n  19 -> 27 [size =\"12215296\"]\n  20 [size=\"167345493\", alpha=\"0.03\", expect_size=\"50203648\"] \n  20 -> 29 [size =\"50203648\"]\n  21 [size=\"45991253\", alpha=\"0.05\", expect_size=\"13797376\"] \n  21 -> 30 [size =\"13797376\"]\n  22 [size=\"73687040\", alpha=\"0.08\", expect_size=\"22106112\"] \n  22 -> 29 [size =\"22106112\"]\n  23 [size=\"156863147\", alpha=\"0.06\", expect_size=\"47058944\"] \n  24 [size=\"105386667\", alpha=\"0.16\", expect_size=\"31616000\"] \n  24 -> 29 [size =\"31616000\"]\n  25 [size=\"114418347\", alpha=\"0.06\", expect_size=\"34325504\"] \n  25 -> 30 [size =\"34325504\"]\n  26 [size=\"87179947\", alpha=\"0.02\", expect_size=\"26153984\"] \n  26 -> 29 [size =\"26153984\"]\n  26 -> 30 [size =\"26153984\"]\n  27 [size=\"27316907\", alpha=\"0.14\", expect_size=\"8195072\"] \n  27 -> 30 [size =\"8195072\"]\n  28 [size=\"157125973\", alpha=\"0.11\", expect_size=\"47137792\"] \n  28 -> 30 [size =\"47137792\"]\n  29 [size=\"138871467\", alpha=\"0.14\", expect_size=\"41661440\"] \n  30 [size=\"29033813\", alpha=\"0.02\", expect_size=\"8710144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113794560\", alpha=\"0.08\", expect_size=\"45517824\"] \n  1 -> 2 [size =\"45517824\"]\n  2 [size=\"13181440\", alpha=\"0.01\", expect_size=\"5272576\"] \n  2 -> 3 [size =\"5272576\"]\n  3 [size=\"64478720\", alpha=\"0.15\", expect_size=\"25791488\"] \n  3 -> 4 [size =\"25791488\"]\n  4 [size=\"76495360\", alpha=\"0.02\", expect_size=\"30598144\"] \n  4 -> 5 [size =\"30598144\"]\n  5 [size=\"29381120\", alpha=\"0.13\", expect_size=\"11752448\"] \n  5 -> 6 [size =\"11752448\"]\n  6 [size=\"124784640\", alpha=\"0.16\", expect_size=\"49913856\"] \n  6 -> 7 [size =\"49913856\"]\n  7 [size=\"24199680\", alpha=\"0.11\", expect_size=\"9679872\"] \n  7 -> 8 [size =\"9679872\"]\n  8 [size=\"76495360\", alpha=\"0.04\", expect_size=\"30598144\"] \n  8 -> 9 [size =\"30598144\"]\n  9 [size=\"22871040\", alpha=\"0.05\", expect_size=\"9148416\"] \n  9 -> 10 [size =\"9148416\"]\n  10 [size=\"16494080\", alpha=\"0.17\", expect_size=\"6597632\"] \n  10 -> 11 [size =\"6597632\"]\n  11 [size=\"45015040\", alpha=\"0.14\", expect_size=\"18006016\"] \n  11 -> 12 [size =\"18006016\"]\n  12 [size=\"90334720\", alpha=\"0.01\", expect_size=\"36133888\"] \n  12 -> 13 [size =\"36133888\"]\n  13 [size=\"98429440\", alpha=\"0.05\", expect_size=\"39371776\"] \n  13 -> 14 [size =\"39371776\"]\n  14 [size=\"67361280\", alpha=\"0.13\", expect_size=\"26944512\"] \n  14 -> 15 [size =\"26944512\"]\n  15 [size=\"77086720\", alpha=\"0.19\", expect_size=\"30834688\"] \n  15 -> 16 [size =\"30834688\"]\n  16 [size=\"36177920\", alpha=\"0.16\", expect_size=\"14471168\"] \n  16 -> 17 [size =\"14471168\"]\n  17 [size=\"129564160\", alpha=\"0.19\", expect_size=\"51825664\"] \n  17 -> 18 [size =\"51825664\"]\n  18 [size=\"75681280\", alpha=\"0.19\", expect_size=\"30272512\"] \n  18 -> 19 [size =\"30272512\"]\n  19 [size=\"100776960\", alpha=\"0.17\", expect_size=\"40310784\"] \n  19 -> 20 [size =\"40310784\"]\n  20 [size=\"129116160\", alpha=\"0.00\", expect_size=\"51646464\"] \n  20 -> 21 [size =\"51646464\"]\n  21 [size=\"112998400\", alpha=\"0.01\", expect_size=\"45199360\"] \n  21 -> 22 [size =\"45199360\"]\n  22 [size=\"77573120\", alpha=\"0.02\", expect_size=\"31029248\"] \n  22 -> 23 [size =\"31029248\"]\n  23 [size=\"81272320\", alpha=\"0.11\", expect_size=\"32508928\"] \n  23 -> 24 [size =\"32508928\"]\n  24 [size=\"109073920\", alpha=\"0.11\", expect_size=\"43629568\"] \n  24 -> 25 [size =\"43629568\"]\n  25 [size=\"66621440\", alpha=\"0.14\", expect_size=\"26648576\"] \n  25 -> 26 [size =\"26648576\"]\n  26 [size=\"61457920\", alpha=\"0.16\", expect_size=\"24583168\"] \n  26 -> 27 [size =\"24583168\"]\n  27 [size=\"39229440\", alpha=\"0.19\", expect_size=\"15691776\"] \n  27 -> 28 [size =\"15691776\"]\n  28 [size=\"35944960\", alpha=\"0.14\", expect_size=\"14377984\"] \n  28 -> 29 [size =\"14377984\"]\n  29 [size=\"28631040\", alpha=\"0.10\", expect_size=\"11452416\"] \n  29 -> 30 [size =\"11452416\"]\n  30 [size=\"127262720\", alpha=\"0.06\", expect_size=\"50905088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43432960\", alpha=\"0.07\", expect_size=\"17373184\"] \n  1 -> 9 [size =\"17373184\"]\n  1 -> 10 [size =\"17373184\"]\n  1 -> 11 [size =\"17373184\"]\n  2 [size=\"56012800\", alpha=\"0.14\", expect_size=\"22405120\"] \n  2 -> 9 [size =\"22405120\"]\n  2 -> 10 [size =\"22405120\"]\n  2 -> 12 [size =\"22405120\"]\n  2 -> 14 [size =\"22405120\"]\n  3 [size=\"33546240\", alpha=\"0.09\", expect_size=\"13418496\"] \n  3 -> 8 [size =\"13418496\"]\n  3 -> 14 [size =\"13418496\"]\n  4 [size=\"13168640\", alpha=\"0.04\", expect_size=\"5267456\"] \n  4 -> 8 [size =\"5267456\"]\n  4 -> 10 [size =\"5267456\"]\n  4 -> 11 [size =\"5267456\"]\n  4 -> 12 [size =\"5267456\"]\n  5 [size=\"80839680\", alpha=\"0.08\", expect_size=\"32335872\"] \n  5 -> 8 [size =\"32335872\"]\n  5 -> 10 [size =\"32335872\"]\n  5 -> 11 [size =\"32335872\"]\n  5 -> 12 [size =\"32335872\"]\n  5 -> 13 [size =\"32335872\"]\n  5 -> 14 [size =\"32335872\"]\n  6 [size=\"80814080\", alpha=\"0.08\", expect_size=\"32325632\"] \n  6 -> 11 [size =\"32325632\"]\n  6 -> 12 [size =\"32325632\"]\n  7 [size=\"70305280\", alpha=\"0.13\", expect_size=\"28122112\"] \n  7 -> 9 [size =\"28122112\"]\n  7 -> 12 [size =\"28122112\"]\n  7 -> 13 [size =\"28122112\"]\n  7 -> 14 [size =\"28122112\"]\n  8 [size=\"108277760\", alpha=\"0.02\", expect_size=\"43311104\"] \n  8 -> 16 [size =\"43311104\"]\n  8 -> 17 [size =\"43311104\"]\n  8 -> 19 [size =\"43311104\"]\n  9 [size=\"99978240\", alpha=\"0.17\", expect_size=\"39991296\"] \n  9 -> 19 [size =\"39991296\"]\n  10 [size=\"115914240\", alpha=\"0.04\", expect_size=\"46365696\"] \n  10 -> 15 [size =\"46365696\"]\n  10 -> 19 [size =\"46365696\"]\n  11 [size=\"127004160\", alpha=\"0.18\", expect_size=\"50801664\"] \n  11 -> 15 [size =\"50801664\"]\n  11 -> 17 [size =\"50801664\"]\n  11 -> 19 [size =\"50801664\"]\n  12 [size=\"52520960\", alpha=\"0.07\", expect_size=\"21008384\"] \n  12 -> 15 [size =\"21008384\"]\n  12 -> 16 [size =\"21008384\"]\n  12 -> 17 [size =\"21008384\"]\n  12 -> 18 [size =\"21008384\"]\n  12 -> 20 [size =\"21008384\"]\n  13 [size=\"18654720\", alpha=\"0.12\", expect_size=\"7461888\"] \n  13 -> 15 [size =\"7461888\"]\n  13 -> 16 [size =\"7461888\"]\n  13 -> 17 [size =\"7461888\"]\n  14 [size=\"72542720\", alpha=\"0.06\", expect_size=\"29017088\"] \n  14 -> 15 [size =\"29017088\"]\n  14 -> 16 [size =\"29017088\"]\n  14 -> 17 [size =\"29017088\"]\n  14 -> 18 [size =\"29017088\"]\n  15 [size=\"94886400\", alpha=\"0.08\", expect_size=\"37954560\"] \n  15 -> 21 [size =\"37954560\"]\n  16 [size=\"25372160\", alpha=\"0.13\", expect_size=\"10148864\"] \n  17 [size=\"71104000\", alpha=\"0.00\", expect_size=\"28441600\"] \n  18 [size=\"31623680\", alpha=\"0.18\", expect_size=\"12649472\"] \n  18 -> 21 [size =\"12649472\"]\n  18 -> 22 [size =\"12649472\"]\n  19 [size=\"40960000\", alpha=\"0.14\", expect_size=\"16384000\"] \n  19 -> 21 [size =\"16384000\"]\n  19 -> 23 [size =\"16384000\"]\n  20 [size=\"20874240\", alpha=\"0.12\", expect_size=\"8349696\"] \n  20 -> 21 [size =\"8349696\"]\n  21 [size=\"44940800\", alpha=\"0.15\", expect_size=\"17976320\"] \n  21 -> 24 [size =\"17976320\"]\n  22 [size=\"34828800\", alpha=\"0.05\", expect_size=\"13931520\"] \n  22 -> 25 [size =\"13931520\"]\n  23 [size=\"74416640\", alpha=\"0.18\", expect_size=\"29766656\"] \n  24 [size=\"30054400\", alpha=\"0.12\", expect_size=\"12021760\"] \n  25 [size=\"64926720\", alpha=\"0.17\", expect_size=\"25970688\"] \n  25 -> 26 [size =\"25970688\"]\n  25 -> 27 [size =\"25970688\"]\n  25 -> 28 [size =\"25970688\"]\n  25 -> 29 [size =\"25970688\"]\n  26 [size=\"109616640\", alpha=\"0.13\", expect_size=\"43846656\"] \n  26 -> 30 [size =\"43846656\"]\n  27 [size=\"69621760\", alpha=\"0.19\", expect_size=\"27848704\"] \n  27 -> 30 [size =\"27848704\"]\n  28 [size=\"72000000\", alpha=\"0.02\", expect_size=\"28800000\"] \n  29 [size=\"58140160\", alpha=\"0.19\", expect_size=\"23256064\"] \n  29 -> 30 [size =\"23256064\"]\n  30 [size=\"24230400\", alpha=\"0.13\", expect_size=\"9692160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72970240\", alpha=\"0.11\", expect_size=\"21891072\"] \n  2 [size=\"157344427\", alpha=\"0.10\", expect_size=\"47203328\"] \n  2 -> 6 [size =\"47203328\"]\n  2 -> 7 [size =\"47203328\"]\n  2 -> 8 [size =\"47203328\"]\n  2 -> 9 [size =\"47203328\"]\n  3 [size=\"140868267\", alpha=\"0.18\", expect_size=\"42260480\"] \n  3 -> 6 [size =\"42260480\"]\n  3 -> 8 [size =\"42260480\"]\n  4 [size=\"154740053\", alpha=\"0.02\", expect_size=\"46422016\"] \n  4 -> 6 [size =\"46422016\"]\n  4 -> 9 [size =\"46422016\"]\n  5 [size=\"81701547\", alpha=\"0.11\", expect_size=\"24510464\"] \n  5 -> 6 [size =\"24510464\"]\n  5 -> 8 [size =\"24510464\"]\n  5 -> 9 [size =\"24510464\"]\n  6 [size=\"94842880\", alpha=\"0.07\", expect_size=\"28452864\"] \n  6 -> 11 [size =\"28452864\"]\n  6 -> 12 [size =\"28452864\"]\n  6 -> 15 [size =\"28452864\"]\n  7 [size=\"89504427\", alpha=\"0.12\", expect_size=\"26851328\"] \n  7 -> 11 [size =\"26851328\"]\n  7 -> 12 [size =\"26851328\"]\n  7 -> 13 [size =\"26851328\"]\n  7 -> 14 [size =\"26851328\"]\n  7 -> 15 [size =\"26851328\"]\n  8 [size=\"18875733\", alpha=\"0.17\", expect_size=\"5662720\"] \n  8 -> 10 [size =\"5662720\"]\n  8 -> 14 [size =\"5662720\"]\n  8 -> 15 [size =\"5662720\"]\n  9 [size=\"121033387\", alpha=\"0.14\", expect_size=\"36310016\"] \n  9 -> 11 [size =\"36310016\"]\n  9 -> 12 [size =\"36310016\"]\n  9 -> 13 [size =\"36310016\"]\n  9 -> 14 [size =\"36310016\"]\n  10 [size=\"86282240\", alpha=\"0.10\", expect_size=\"25884672\"] \n  10 -> 18 [size =\"25884672\"]\n  10 -> 19 [size =\"25884672\"]\n  11 [size=\"136717653\", alpha=\"0.07\", expect_size=\"41015296\"] \n  11 -> 16 [size =\"41015296\"]\n  11 -> 18 [size =\"41015296\"]\n  11 -> 19 [size =\"41015296\"]\n  11 -> 20 [size =\"41015296\"]\n  12 [size=\"64925013\", alpha=\"0.02\", expect_size=\"19477504\"] \n  12 -> 17 [size =\"19477504\"]\n  12 -> 18 [size =\"19477504\"]\n  12 -> 19 [size =\"19477504\"]\n  13 [size=\"147097600\", alpha=\"0.08\", expect_size=\"44129280\"] \n  13 -> 16 [size =\"44129280\"]\n  13 -> 17 [size =\"44129280\"]\n  14 [size=\"128942080\", alpha=\"0.12\", expect_size=\"38682624\"] \n  14 -> 18 [size =\"38682624\"]\n  14 -> 20 [size =\"38682624\"]\n  15 [size=\"142523733\", alpha=\"0.17\", expect_size=\"42757120\"] \n  16 [size=\"68935680\", alpha=\"0.08\", expect_size=\"20680704\"] \n  16 -> 21 [size =\"20680704\"]\n  17 [size=\"125996373\", alpha=\"0.14\", expect_size=\"37798912\"] \n  17 -> 21 [size =\"37798912\"]\n  17 -> 23 [size =\"37798912\"]\n  18 [size=\"59279360\", alpha=\"0.14\", expect_size=\"17783808\"] \n  18 -> 22 [size =\"17783808\"]\n  18 -> 24 [size =\"17783808\"]\n  19 [size=\"33331200\", alpha=\"0.00\", expect_size=\"9999360\"] \n  19 -> 21 [size =\"9999360\"]\n  19 -> 22 [size =\"9999360\"]\n  20 [size=\"142810453\", alpha=\"0.15\", expect_size=\"42843136\"] \n  20 -> 21 [size =\"42843136\"]\n  20 -> 22 [size =\"42843136\"]\n  21 [size=\"67031040\", alpha=\"0.17\", expect_size=\"20109312\"] \n  21 -> 26 [size =\"20109312\"]\n  21 -> 28 [size =\"20109312\"]\n  22 [size=\"121596587\", alpha=\"0.16\", expect_size=\"36478976\"] \n  22 -> 26 [size =\"36478976\"]\n  22 -> 27 [size =\"36478976\"]\n  22 -> 28 [size =\"36478976\"]\n  22 -> 29 [size =\"36478976\"]\n  23 [size=\"137482240\", alpha=\"0.12\", expect_size=\"41244672\"] \n  23 -> 25 [size =\"41244672\"]\n  23 -> 27 [size =\"41244672\"]\n  24 [size=\"40478720\", alpha=\"0.04\", expect_size=\"12143616\"] \n  24 -> 25 [size =\"12143616\"]\n  24 -> 28 [size =\"12143616\"]\n  25 [size=\"134249813\", alpha=\"0.05\", expect_size=\"40274944\"] \n  26 [size=\"108960427\", alpha=\"0.16\", expect_size=\"32688128\"] \n  26 -> 30 [size =\"32688128\"]\n  27 [size=\"168953173\", alpha=\"0.16\", expect_size=\"50685952\"] \n  27 -> 30 [size =\"50685952\"]\n  28 [size=\"118807893\", alpha=\"0.16\", expect_size=\"35642368\"] \n  29 [size=\"70976853\", alpha=\"0.09\", expect_size=\"21293056\"] \n  30 [size=\"72345600\", alpha=\"0.11\", expect_size=\"21703680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72611840\", alpha=\"0.13\", expect_size=\"21783552\"] \n  1 -> 10 [size =\"21783552\"]\n  1 -> 13 [size =\"21783552\"]\n  1 -> 16 [size =\"21783552\"]\n  1 -> 17 [size =\"21783552\"]\n  2 [size=\"36816213\", alpha=\"0.16\", expect_size=\"11044864\"] \n  2 -> 10 [size =\"11044864\"]\n  2 -> 11 [size =\"11044864\"]\n  2 -> 12 [size =\"11044864\"]\n  2 -> 13 [size =\"11044864\"]\n  2 -> 15 [size =\"11044864\"]\n  2 -> 16 [size =\"11044864\"]\n  2 -> 19 [size =\"11044864\"]\n  3 [size=\"150678187\", alpha=\"0.02\", expect_size=\"45203456\"] \n  3 -> 16 [size =\"45203456\"]\n  3 -> 17 [size =\"45203456\"]\n  4 [size=\"78936747\", alpha=\"0.03\", expect_size=\"23681024\"] \n  4 -> 10 [size =\"23681024\"]\n  4 -> 16 [size =\"23681024\"]\n  4 -> 17 [size =\"23681024\"]\n  5 [size=\"71092907\", alpha=\"0.14\", expect_size=\"21327872\"] \n  5 -> 11 [size =\"21327872\"]\n  5 -> 15 [size =\"21327872\"]\n  5 -> 16 [size =\"21327872\"]\n  5 -> 17 [size =\"21327872\"]\n  5 -> 18 [size =\"21327872\"]\n  5 -> 19 [size =\"21327872\"]\n  6 [size=\"65580373\", alpha=\"0.08\", expect_size=\"19674112\"] \n  6 -> 11 [size =\"19674112\"]\n  6 -> 15 [size =\"19674112\"]\n  6 -> 16 [size =\"19674112\"]\n  6 -> 17 [size =\"19674112\"]\n  7 [size=\"163549867\", alpha=\"0.06\", expect_size=\"49064960\"] \n  7 -> 10 [size =\"49064960\"]\n  7 -> 11 [size =\"49064960\"]\n  7 -> 14 [size =\"49064960\"]\n  7 -> 15 [size =\"49064960\"]\n  8 [size=\"62013440\", alpha=\"0.13\", expect_size=\"18604032\"] \n  8 -> 10 [size =\"18604032\"]\n  8 -> 11 [size =\"18604032\"]\n  8 -> 13 [size =\"18604032\"]\n  8 -> 16 [size =\"18604032\"]\n  8 -> 18 [size =\"18604032\"]\n  9 [size=\"141810347\", alpha=\"0.02\", expect_size=\"42543104\"] \n  9 -> 14 [size =\"42543104\"]\n  9 -> 15 [size =\"42543104\"]\n  9 -> 16 [size =\"42543104\"]\n  9 -> 17 [size =\"42543104\"]\n  10 [size=\"26176853\", alpha=\"0.13\", expect_size=\"7853056\"] \n  10 -> 21 [size =\"7853056\"]\n  10 -> 22 [size =\"7853056\"]\n  10 -> 24 [size =\"7853056\"]\n  10 -> 26 [size =\"7853056\"]\n  10 -> 28 [size =\"7853056\"]\n  11 [size=\"20165973\", alpha=\"0.18\", expect_size=\"6049792\"] \n  11 -> 21 [size =\"6049792\"]\n  11 -> 23 [size =\"6049792\"]\n  11 -> 24 [size =\"6049792\"]\n  11 -> 26 [size =\"6049792\"]\n  11 -> 29 [size =\"6049792\"]\n  12 [size=\"120087893\", alpha=\"0.08\", expect_size=\"36026368\"] \n  12 -> 21 [size =\"36026368\"]\n  12 -> 23 [size =\"36026368\"]\n  12 -> 25 [size =\"36026368\"]\n  12 -> 26 [size =\"36026368\"]\n  12 -> 27 [size =\"36026368\"]\n  13 [size=\"86231040\", alpha=\"0.10\", expect_size=\"25869312\"] \n  13 -> 21 [size =\"25869312\"]\n  13 -> 22 [size =\"25869312\"]\n  13 -> 24 [size =\"25869312\"]\n  13 -> 26 [size =\"25869312\"]\n  13 -> 29 [size =\"25869312\"]\n  14 [size=\"105349120\", alpha=\"0.03\", expect_size=\"31604736\"] \n  14 -> 20 [size =\"31604736\"]\n  14 -> 21 [size =\"31604736\"]\n  14 -> 22 [size =\"31604736\"]\n  14 -> 23 [size =\"31604736\"]\n  14 -> 24 [size =\"31604736\"]\n  14 -> 26 [size =\"31604736\"]\n  14 -> 27 [size =\"31604736\"]\n  15 [size=\"128733867\", alpha=\"0.05\", expect_size=\"38620160\"] \n  15 -> 20 [size =\"38620160\"]\n  15 -> 21 [size =\"38620160\"]\n  15 -> 23 [size =\"38620160\"]\n  15 -> 24 [size =\"38620160\"]\n  15 -> 25 [size =\"38620160\"]\n  15 -> 29 [size =\"38620160\"]\n  16 [size=\"81315840\", alpha=\"0.14\", expect_size=\"24394752\"] \n  16 -> 21 [size =\"24394752\"]\n  16 -> 21 [size =\"24394752\"]\n  16 -> 26 [size =\"24394752\"]\n  16 -> 27 [size =\"24394752\"]\n  17 [size=\"147595947\", alpha=\"0.06\", expect_size=\"44278784\"] \n  17 -> 21 [size =\"44278784\"]\n  17 -> 23 [size =\"44278784\"]\n  17 -> 24 [size =\"44278784\"]\n  17 -> 26 [size =\"44278784\"]\n  18 [size=\"40096427\", alpha=\"0.14\", expect_size=\"12028928\"] \n  18 -> 26 [size =\"12028928\"]\n  18 -> 29 [size =\"12028928\"]\n  19 [size=\"139066027\", alpha=\"0.19\", expect_size=\"41719808\"] \n  19 -> 20 [size =\"41719808\"]\n  19 -> 22 [size =\"41719808\"]\n  19 -> 23 [size =\"41719808\"]\n  19 -> 26 [size =\"41719808\"]\n  19 -> 28 [size =\"41719808\"]\n  20 [size=\"154903893\", alpha=\"0.04\", expect_size=\"46471168\"] \n  21 [size=\"100068693\", alpha=\"0.15\", expect_size=\"30020608\"] \n  22 [size=\"83572053\", alpha=\"0.08\", expect_size=\"25071616\"] \n  22 -> 30 [size =\"25071616\"]\n  23 [size=\"145319253\", alpha=\"0.19\", expect_size=\"43595776\"] \n  23 -> 30 [size =\"43595776\"]\n  24 [size=\"69440853\", alpha=\"0.17\", expect_size=\"20832256\"] \n  24 -> 30 [size =\"20832256\"]\n  25 [size=\"96481280\", alpha=\"0.03\", expect_size=\"28944384\"] \n  25 -> 30 [size =\"28944384\"]\n  26 [size=\"131884373\", alpha=\"0.14\", expect_size=\"39565312\"] \n  26 -> 30 [size =\"39565312\"]\n  27 [size=\"87671467\", alpha=\"0.04\", expect_size=\"26301440\"] \n  27 -> 30 [size =\"26301440\"]\n  28 [size=\"137618773\", alpha=\"0.19\", expect_size=\"41285632\"] \n  29 [size=\"90531840\", alpha=\"0.11\", expect_size=\"27159552\"] \n  29 -> 30 [size =\"27159552\"]\n  30 [size=\"86391467\", alpha=\"0.03\", expect_size=\"25917440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97566720\", alpha=\"0.12\", expect_size=\"39026688\"] \n  2 [size=\"116707840\", alpha=\"0.16\", expect_size=\"46683136\"] \n  2 -> 3 [size =\"46683136\"]\n  3 [size=\"118499840\", alpha=\"0.09\", expect_size=\"47399936\"] \n  3 -> 4 [size =\"47399936\"]\n  3 -> 5 [size =\"47399936\"]\n  4 [size=\"32719360\", alpha=\"0.01\", expect_size=\"13087744\"] \n  4 -> 6 [size =\"13087744\"]\n  4 -> 7 [size =\"13087744\"]\n  5 [size=\"16296960\", alpha=\"0.00\", expect_size=\"6518784\"] \n  5 -> 7 [size =\"6518784\"]\n  6 [size=\"123983360\", alpha=\"0.05\", expect_size=\"49593344\"] \n  7 [size=\"69150720\", alpha=\"0.04\", expect_size=\"27660288\"] \n  7 -> 8 [size =\"27660288\"]\n  8 [size=\"34245120\", alpha=\"0.05\", expect_size=\"13698048\"] \n  8 -> 9 [size =\"13698048\"]\n  9 [size=\"71375360\", alpha=\"0.00\", expect_size=\"28550144\"] \n  9 -> 10 [size =\"28550144\"]\n  9 -> 11 [size =\"28550144\"]\n  10 [size=\"46819840\", alpha=\"0.15\", expect_size=\"18727936\"] \n  10 -> 12 [size =\"18727936\"]\n  10 -> 13 [size =\"18727936\"]\n  11 [size=\"100948480\", alpha=\"0.13\", expect_size=\"40379392\"] \n  11 -> 13 [size =\"40379392\"]\n  12 [size=\"56645120\", alpha=\"0.08\", expect_size=\"22658048\"] \n  12 -> 14 [size =\"22658048\"]\n  12 -> 15 [size =\"22658048\"]\n  13 [size=\"33425920\", alpha=\"0.12\", expect_size=\"13370368\"] \n  13 -> 14 [size =\"13370368\"]\n  14 [size=\"85908480\", alpha=\"0.04\", expect_size=\"34363392\"] \n  14 -> 16 [size =\"34363392\"]\n  14 -> 17 [size =\"34363392\"]\n  15 [size=\"90798080\", alpha=\"0.19\", expect_size=\"36319232\"] \n  16 [size=\"91192320\", alpha=\"0.20\", expect_size=\"36476928\"] \n  16 -> 18 [size =\"36476928\"]\n  17 [size=\"122091520\", alpha=\"0.19\", expect_size=\"48836608\"] \n  17 -> 18 [size =\"48836608\"]\n  18 [size=\"27176960\", alpha=\"0.06\", expect_size=\"10870784\"] \n  18 -> 19 [size =\"10870784\"]\n  19 [size=\"58539520\", alpha=\"0.11\", expect_size=\"23415808\"] \n  19 -> 20 [size =\"23415808\"]\n  20 [size=\"61189120\", alpha=\"0.20\", expect_size=\"24475648\"] \n  20 -> 21 [size =\"24475648\"]\n  20 -> 22 [size =\"24475648\"]\n  21 [size=\"32081920\", alpha=\"0.03\", expect_size=\"12832768\"] \n  21 -> 23 [size =\"12832768\"]\n  21 -> 24 [size =\"12832768\"]\n  22 [size=\"106173440\", alpha=\"0.04\", expect_size=\"42469376\"] \n  22 -> 24 [size =\"42469376\"]\n  23 [size=\"35036160\", alpha=\"0.03\", expect_size=\"14014464\"] \n  23 -> 26 [size =\"14014464\"]\n  24 [size=\"105497600\", alpha=\"0.06\", expect_size=\"42199040\"] \n  24 -> 25 [size =\"42199040\"]\n  24 -> 26 [size =\"42199040\"]\n  25 [size=\"131056640\", alpha=\"0.08\", expect_size=\"52422656\"] \n  25 -> 27 [size =\"52422656\"]\n  26 [size=\"125777920\", alpha=\"0.10\", expect_size=\"50311168\"] \n  26 -> 27 [size =\"50311168\"]\n  27 [size=\"123453440\", alpha=\"0.01\", expect_size=\"49381376\"] \n  27 -> 28 [size =\"49381376\"]\n  27 -> 29 [size =\"49381376\"]\n  28 [size=\"116464640\", alpha=\"0.16\", expect_size=\"46585856\"] \n  29 [size=\"33930240\", alpha=\"0.00\", expect_size=\"13572096\"] \n  29 -> 30 [size =\"13572096\"]\n  30 [size=\"97272320\", alpha=\"0.11\", expect_size=\"38908928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54422187\", alpha=\"0.00\", expect_size=\"16326656\"] \n  1 -> 2 [size =\"16326656\"]\n  1 -> 3 [size =\"16326656\"]\n  2 [size=\"59023360\", alpha=\"0.02\", expect_size=\"17707008\"] \n  2 -> 4 [size =\"17707008\"]\n  2 -> 5 [size =\"17707008\"]\n  3 [size=\"70529707\", alpha=\"0.15\", expect_size=\"21158912\"] \n  3 -> 4 [size =\"21158912\"]\n  3 -> 5 [size =\"21158912\"]\n  4 [size=\"60617387\", alpha=\"0.14\", expect_size=\"18185216\"] \n  4 -> 6 [size =\"18185216\"]\n  5 [size=\"149684907\", alpha=\"0.17\", expect_size=\"44905472\"] \n  5 -> 6 [size =\"44905472\"]\n  6 [size=\"102345387\", alpha=\"0.17\", expect_size=\"30703616\"] \n  6 -> 7 [size =\"30703616\"]\n  7 [size=\"30460587\", alpha=\"0.16\", expect_size=\"9138176\"] \n  7 -> 8 [size =\"9138176\"]\n  7 -> 9 [size =\"9138176\"]\n  8 [size=\"170827093\", alpha=\"0.15\", expect_size=\"51248128\"] \n  8 -> 10 [size =\"51248128\"]\n  8 -> 11 [size =\"51248128\"]\n  9 [size=\"50916693\", alpha=\"0.17\", expect_size=\"15275008\"] \n  9 -> 10 [size =\"15275008\"]\n  9 -> 11 [size =\"15275008\"]\n  10 [size=\"91303253\", alpha=\"0.18\", expect_size=\"27390976\"] \n  10 -> 12 [size =\"27390976\"]\n  11 [size=\"172571307\", alpha=\"0.04\", expect_size=\"51771392\"] \n  11 -> 12 [size =\"51771392\"]\n  12 [size=\"173810347\", alpha=\"0.01\", expect_size=\"52143104\"] \n  12 -> 13 [size =\"52143104\"]\n  12 -> 14 [size =\"52143104\"]\n  13 [size=\"34833067\", alpha=\"0.08\", expect_size=\"10449920\"] \n  13 -> 15 [size =\"10449920\"]\n  14 [size=\"151767040\", alpha=\"0.17\", expect_size=\"45530112\"] \n  14 -> 15 [size =\"45530112\"]\n  15 [size=\"102816427\", alpha=\"0.07\", expect_size=\"30844928\"] \n  15 -> 16 [size =\"30844928\"]\n  15 -> 17 [size =\"30844928\"]\n  16 [size=\"78209707\", alpha=\"0.12\", expect_size=\"23462912\"] \n  16 -> 18 [size =\"23462912\"]\n  16 -> 19 [size =\"23462912\"]\n  17 [size=\"57695573\", alpha=\"0.04\", expect_size=\"17308672\"] \n  17 -> 18 [size =\"17308672\"]\n  17 -> 19 [size =\"17308672\"]\n  18 [size=\"24436053\", alpha=\"0.19\", expect_size=\"7330816\"] \n  19 [size=\"145636693\", alpha=\"0.18\", expect_size=\"43691008\"] \n  19 -> 20 [size =\"43691008\"]\n  20 [size=\"123388587\", alpha=\"0.14\", expect_size=\"37016576\"] \n  20 -> 21 [size =\"37016576\"]\n  20 -> 22 [size =\"37016576\"]\n  21 [size=\"107834027\", alpha=\"0.15\", expect_size=\"32350208\"] \n  21 -> 23 [size =\"32350208\"]\n  22 [size=\"137547093\", alpha=\"0.01\", expect_size=\"41264128\"] \n  22 -> 23 [size =\"41264128\"]\n  23 [size=\"144779947\", alpha=\"0.14\", expect_size=\"43433984\"] \n  23 -> 24 [size =\"43433984\"]\n  24 [size=\"50984960\", alpha=\"0.12\", expect_size=\"15295488\"] \n  24 -> 25 [size =\"15295488\"]\n  25 [size=\"25873067\", alpha=\"0.08\", expect_size=\"7761920\"] \n  25 -> 26 [size =\"7761920\"]\n  26 [size=\"78045867\", alpha=\"0.13\", expect_size=\"23413760\"] \n  26 -> 27 [size =\"23413760\"]\n  26 -> 28 [size =\"23413760\"]\n  27 [size=\"169601707\", alpha=\"0.01\", expect_size=\"50880512\"] \n  28 [size=\"44994560\", alpha=\"0.08\", expect_size=\"13498368\"] \n  28 -> 29 [size =\"13498368\"]\n  29 [size=\"37580800\", alpha=\"0.19\", expect_size=\"11274240\"] \n  29 -> 30 [size =\"11274240\"]\n  30 [size=\"23596373\", alpha=\"0.00\", expect_size=\"7078912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12615680\", alpha=\"0.10\", expect_size=\"6307840\"] \n  1 -> 15 [size =\"6307840\"]\n  1 -> 16 [size =\"6307840\"]\n  2 [size=\"21385216\", alpha=\"0.01\", expect_size=\"10692608\"] \n  2 -> 10 [size =\"10692608\"]\n  2 -> 15 [size =\"10692608\"]\n  2 -> 16 [size =\"10692608\"]\n  3 [size=\"98908160\", alpha=\"0.08\", expect_size=\"49454080\"] \n  3 -> 9 [size =\"49454080\"]\n  3 -> 12 [size =\"49454080\"]\n  3 -> 13 [size =\"49454080\"]\n  3 -> 16 [size =\"49454080\"]\n  4 [size=\"18419712\", alpha=\"0.03\", expect_size=\"9209856\"] \n  4 -> 11 [size =\"9209856\"]\n  4 -> 12 [size =\"9209856\"]\n  4 -> 13 [size =\"9209856\"]\n  4 -> 16 [size =\"9209856\"]\n  5 [size=\"52848640\", alpha=\"0.05\", expect_size=\"26424320\"] \n  5 -> 10 [size =\"26424320\"]\n  5 -> 11 [size =\"26424320\"]\n  5 -> 16 [size =\"26424320\"]\n  6 [size=\"44746752\", alpha=\"0.17\", expect_size=\"22373376\"] \n  6 -> 11 [size =\"22373376\"]\n  6 -> 12 [size =\"22373376\"]\n  6 -> 13 [size =\"22373376\"]\n  7 [size=\"75503616\", alpha=\"0.14\", expect_size=\"37751808\"] \n  7 -> 11 [size =\"37751808\"]\n  7 -> 12 [size =\"37751808\"]\n  7 -> 14 [size =\"37751808\"]\n  7 -> 15 [size =\"37751808\"]\n  8 [size=\"39712768\", alpha=\"0.14\", expect_size=\"19856384\"] \n  8 -> 9 [size =\"19856384\"]\n  8 -> 12 [size =\"19856384\"]\n  8 -> 15 [size =\"19856384\"]\n  8 -> 16 [size =\"19856384\"]\n  9 [size=\"13766656\", alpha=\"0.20\", expect_size=\"6883328\"] \n  9 -> 17 [size =\"6883328\"]\n  9 -> 18 [size =\"6883328\"]\n  9 -> 23 [size =\"6883328\"]\n  9 -> 24 [size =\"6883328\"]\n  9 -> 26 [size =\"6883328\"]\n  9 -> 27 [size =\"6883328\"]\n  10 [size=\"41445376\", alpha=\"0.13\", expect_size=\"20722688\"] \n  10 -> 17 [size =\"20722688\"]\n  10 -> 24 [size =\"20722688\"]\n  10 -> 26 [size =\"20722688\"]\n  11 [size=\"59553792\", alpha=\"0.06\", expect_size=\"29776896\"] \n  11 -> 17 [size =\"29776896\"]\n  11 -> 24 [size =\"29776896\"]\n  11 -> 25 [size =\"29776896\"]\n  11 -> 26 [size =\"29776896\"]\n  12 [size=\"104609792\", alpha=\"0.19\", expect_size=\"52304896\"] \n  12 -> 17 [size =\"52304896\"]\n  12 -> 18 [size =\"52304896\"]\n  12 -> 19 [size =\"52304896\"]\n  12 -> 24 [size =\"52304896\"]\n  12 -> 25 [size =\"52304896\"]\n  12 -> 26 [size =\"52304896\"]\n  13 [size=\"14049280\", alpha=\"0.13\", expect_size=\"7024640\"] \n  13 -> 18 [size =\"7024640\"]\n  13 -> 19 [size =\"7024640\"]\n  13 -> 23 [size =\"7024640\"]\n  13 -> 24 [size =\"7024640\"]\n  14 [size=\"53399552\", alpha=\"0.18\", expect_size=\"26699776\"] \n  14 -> 18 [size =\"26699776\"]\n  14 -> 19 [size =\"26699776\"]\n  14 -> 20 [size =\"26699776\"]\n  14 -> 22 [size =\"26699776\"]\n  14 -> 24 [size =\"26699776\"]\n  15 [size=\"65341440\", alpha=\"0.04\", expect_size=\"32670720\"] \n  15 -> 19 [size =\"32670720\"]\n  15 -> 21 [size =\"32670720\"]\n  15 -> 26 [size =\"32670720\"]\n  15 -> 27 [size =\"32670720\"]\n  16 [size=\"86779904\", alpha=\"0.07\", expect_size=\"43389952\"] \n  16 -> 18 [size =\"43389952\"]\n  16 -> 19 [size =\"43389952\"]\n  16 -> 21 [size =\"43389952\"]\n  16 -> 26 [size =\"43389952\"]\n  17 [size=\"71286784\", alpha=\"0.12\", expect_size=\"35643392\"] \n  17 -> 28 [size =\"35643392\"]\n  17 -> 30 [size =\"35643392\"]\n  18 [size=\"44376064\", alpha=\"0.13\", expect_size=\"22188032\"] \n  19 [size=\"17842176\", alpha=\"0.20\", expect_size=\"8921088\"] \n  19 -> 28 [size =\"8921088\"]\n  19 -> 30 [size =\"8921088\"]\n  20 [size=\"17451008\", alpha=\"0.13\", expect_size=\"8725504\"] \n  20 -> 28 [size =\"8725504\"]\n  20 -> 29 [size =\"8725504\"]\n  20 -> 30 [size =\"8725504\"]\n  21 [size=\"80332800\", alpha=\"0.06\", expect_size=\"40166400\"] \n  21 -> 29 [size =\"40166400\"]\n  22 [size=\"14837760\", alpha=\"0.02\", expect_size=\"7418880\"] \n  22 -> 28 [size =\"7418880\"]\n  23 [size=\"10964992\", alpha=\"0.16\", expect_size=\"5482496\"] \n  23 -> 28 [size =\"5482496\"]\n  23 -> 30 [size =\"5482496\"]\n  24 [size=\"74602496\", alpha=\"0.12\", expect_size=\"37301248\"] \n  24 -> 29 [size =\"37301248\"]\n  25 [size=\"64641024\", alpha=\"0.17\", expect_size=\"32320512\"] \n  25 -> 29 [size =\"32320512\"]\n  26 [size=\"81555456\", alpha=\"0.09\", expect_size=\"40777728\"] \n  26 -> 28 [size =\"40777728\"]\n  26 -> 29 [size =\"40777728\"]\n  27 [size=\"19296256\", alpha=\"0.15\", expect_size=\"9648128\"] \n  27 -> 28 [size =\"9648128\"]\n  27 -> 29 [size =\"9648128\"]\n  28 [size=\"74997760\", alpha=\"0.08\", expect_size=\"37498880\"] \n  29 [size=\"39716864\", alpha=\"0.01\", expect_size=\"19858432\"] \n  30 [size=\"39464960\", alpha=\"0.00\", expect_size=\"19732480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66370560\", alpha=\"0.10\", expect_size=\"26548224\"] \n  1 -> 2 [size =\"26548224\"]\n  2 [size=\"34688000\", alpha=\"0.19\", expect_size=\"13875200\"] \n  2 -> 3 [size =\"13875200\"]\n  3 [size=\"86310400\", alpha=\"0.10\", expect_size=\"34524160\"] \n  3 -> 4 [size =\"34524160\"]\n  3 -> 5 [size =\"34524160\"]\n  4 [size=\"100472320\", alpha=\"0.12\", expect_size=\"40188928\"] \n  4 -> 6 [size =\"40188928\"]\n  4 -> 7 [size =\"40188928\"]\n  5 [size=\"15290880\", alpha=\"0.10\", expect_size=\"6116352\"] \n  5 -> 6 [size =\"6116352\"]\n  5 -> 7 [size =\"6116352\"]\n  6 [size=\"25146880\", alpha=\"0.14\", expect_size=\"10058752\"] \n  6 -> 8 [size =\"10058752\"]\n  7 [size=\"56563200\", alpha=\"0.13\", expect_size=\"22625280\"] \n  7 -> 8 [size =\"22625280\"]\n  8 [size=\"61465600\", alpha=\"0.17\", expect_size=\"24586240\"] \n  8 -> 9 [size =\"24586240\"]\n  9 [size=\"26746880\", alpha=\"0.03\", expect_size=\"10698752\"] \n  9 -> 10 [size =\"10698752\"]\n  10 [size=\"122949120\", alpha=\"0.16\", expect_size=\"49179648\"] \n  10 -> 11 [size =\"49179648\"]\n  11 [size=\"41280000\", alpha=\"0.18\", expect_size=\"16512000\"] \n  11 -> 12 [size =\"16512000\"]\n  12 [size=\"99514880\", alpha=\"0.14\", expect_size=\"39805952\"] \n  12 -> 13 [size =\"39805952\"]\n  12 -> 14 [size =\"39805952\"]\n  13 [size=\"94359040\", alpha=\"0.08\", expect_size=\"37743616\"] \n  13 -> 15 [size =\"37743616\"]\n  14 [size=\"35238400\", alpha=\"0.03\", expect_size=\"14095360\"] \n  15 [size=\"105469440\", alpha=\"0.14\", expect_size=\"42187776\"] \n  15 -> 16 [size =\"42187776\"]\n  15 -> 17 [size =\"42187776\"]\n  16 [size=\"44679680\", alpha=\"0.09\", expect_size=\"17871872\"] \n  16 -> 18 [size =\"17871872\"]\n  17 [size=\"125918720\", alpha=\"0.09\", expect_size=\"50367488\"] \n  18 [size=\"83778560\", alpha=\"0.03\", expect_size=\"33511424\"] \n  18 -> 19 [size =\"33511424\"]\n  18 -> 20 [size =\"33511424\"]\n  19 [size=\"63544320\", alpha=\"0.08\", expect_size=\"25417728\"] \n  19 -> 21 [size =\"25417728\"]\n  19 -> 22 [size =\"25417728\"]\n  20 [size=\"79887360\", alpha=\"0.05\", expect_size=\"31954944\"] \n  20 -> 21 [size =\"31954944\"]\n  21 [size=\"59038720\", alpha=\"0.12\", expect_size=\"23615488\"] \n  21 -> 23 [size =\"23615488\"]\n  22 [size=\"49131520\", alpha=\"0.02\", expect_size=\"19652608\"] \n  22 -> 23 [size =\"19652608\"]\n  23 [size=\"129689600\", alpha=\"0.04\", expect_size=\"51875840\"] \n  23 -> 24 [size =\"51875840\"]\n  23 -> 25 [size =\"51875840\"]\n  24 [size=\"59136000\", alpha=\"0.02\", expect_size=\"23654400\"] \n  24 -> 26 [size =\"23654400\"]\n  24 -> 27 [size =\"23654400\"]\n  25 [size=\"74700800\", alpha=\"0.19\", expect_size=\"29880320\"] \n  25 -> 26 [size =\"29880320\"]\n  26 [size=\"38778880\", alpha=\"0.19\", expect_size=\"15511552\"] \n  26 -> 28 [size =\"15511552\"]\n  26 -> 29 [size =\"15511552\"]\n  27 [size=\"93099520\", alpha=\"0.06\", expect_size=\"37239808\"] \n  27 -> 28 [size =\"37239808\"]\n  27 -> 29 [size =\"37239808\"]\n  28 [size=\"26785280\", alpha=\"0.01\", expect_size=\"10714112\"] \n  28 -> 30 [size =\"10714112\"]\n  29 [size=\"43102720\", alpha=\"0.19\", expect_size=\"17241088\"] \n  29 -> 30 [size =\"17241088\"]\n  30 [size=\"89008640\", alpha=\"0.15\", expect_size=\"35603456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170530133\", alpha=\"0.10\", expect_size=\"51159040\"] \n  1 -> 14 [size =\"51159040\"]\n  1 -> 17 [size =\"51159040\"]\n  1 -> 19 [size =\"51159040\"]\n  1 -> 20 [size =\"51159040\"]\n  2 [size=\"83920213\", alpha=\"0.08\", expect_size=\"25176064\"] \n  2 -> 12 [size =\"25176064\"]\n  2 -> 14 [size =\"25176064\"]\n  2 -> 15 [size =\"25176064\"]\n  2 -> 19 [size =\"25176064\"]\n  2 -> 20 [size =\"25176064\"]\n  3 [size=\"155927893\", alpha=\"0.07\", expect_size=\"46778368\"] \n  3 -> 15 [size =\"46778368\"]\n  3 -> 19 [size =\"46778368\"]\n  4 [size=\"99836587\", alpha=\"0.04\", expect_size=\"29950976\"] \n  4 -> 14 [size =\"29950976\"]\n  4 -> 18 [size =\"29950976\"]\n  4 -> 20 [size =\"29950976\"]\n  5 [size=\"90900480\", alpha=\"0.07\", expect_size=\"27270144\"] \n  5 -> 12 [size =\"27270144\"]\n  5 -> 14 [size =\"27270144\"]\n  5 -> 20 [size =\"27270144\"]\n  6 [size=\"17834667\", alpha=\"0.19\", expect_size=\"5350400\"] \n  6 -> 12 [size =\"5350400\"]\n  6 -> 13 [size =\"5350400\"]\n  6 -> 15 [size =\"5350400\"]\n  6 -> 16 [size =\"5350400\"]\n  6 -> 20 [size =\"5350400\"]\n  7 [size=\"26200747\", alpha=\"0.15\", expect_size=\"7860224\"] \n  7 -> 12 [size =\"7860224\"]\n  7 -> 13 [size =\"7860224\"]\n  7 -> 14 [size =\"7860224\"]\n  7 -> 18 [size =\"7860224\"]\n  7 -> 20 [size =\"7860224\"]\n  8 [size=\"38942720\", alpha=\"0.17\", expect_size=\"11682816\"] \n  8 -> 12 [size =\"11682816\"]\n  8 -> 14 [size =\"11682816\"]\n  9 [size=\"96836267\", alpha=\"0.03\", expect_size=\"29050880\"] \n  9 -> 12 [size =\"29050880\"]\n  9 -> 16 [size =\"29050880\"]\n  10 [size=\"169120427\", alpha=\"0.11\", expect_size=\"50736128\"] \n  10 -> 16 [size =\"50736128\"]\n  11 [size=\"150469973\", alpha=\"0.06\", expect_size=\"45140992\"] \n  11 -> 12 [size =\"45140992\"]\n  11 -> 17 [size =\"45140992\"]\n  11 -> 19 [size =\"45140992\"]\n  11 -> 20 [size =\"45140992\"]\n  12 [size=\"75482453\", alpha=\"0.12\", expect_size=\"22644736\"] \n  12 -> 21 [size =\"22644736\"]\n  12 -> 24 [size =\"22644736\"]\n  12 -> 25 [size =\"22644736\"]\n  12 -> 28 [size =\"22644736\"]\n  12 -> 29 [size =\"22644736\"]\n  12 -> 30 [size =\"22644736\"]\n  13 [size=\"134498987\", alpha=\"0.12\", expect_size=\"40349696\"] \n  13 -> 21 [size =\"40349696\"]\n  13 -> 23 [size =\"40349696\"]\n  13 -> 27 [size =\"40349696\"]\n  13 -> 28 [size =\"40349696\"]\n  14 [size=\"34338133\", alpha=\"0.17\", expect_size=\"10301440\"] \n  14 -> 22 [size =\"10301440\"]\n  14 -> 23 [size =\"10301440\"]\n  14 -> 24 [size =\"10301440\"]\n  14 -> 27 [size =\"10301440\"]\n  14 -> 28 [size =\"10301440\"]\n  14 -> 30 [size =\"10301440\"]\n  15 [size=\"63703040\", alpha=\"0.11\", expect_size=\"19110912\"] \n  15 -> 22 [size =\"19110912\"]\n  15 -> 24 [size =\"19110912\"]\n  15 -> 24 [size =\"19110912\"]\n  15 -> 26 [size =\"19110912\"]\n  15 -> 27 [size =\"19110912\"]\n  15 -> 30 [size =\"19110912\"]\n  16 [size=\"117480107\", alpha=\"0.11\", expect_size=\"35244032\"] \n  16 -> 26 [size =\"35244032\"]\n  16 -> 27 [size =\"35244032\"]\n  16 -> 29 [size =\"35244032\"]\n  17 [size=\"109684053\", alpha=\"0.01\", expect_size=\"32905216\"] \n  17 -> 21 [size =\"32905216\"]\n  18 [size=\"67877547\", alpha=\"0.16\", expect_size=\"20363264\"] \n  18 -> 25 [size =\"20363264\"]\n  18 -> 29 [size =\"20363264\"]\n  18 -> 30 [size =\"20363264\"]\n  19 [size=\"48148480\", alpha=\"0.14\", expect_size=\"14444544\"] \n  19 -> 21 [size =\"14444544\"]\n  19 -> 29 [size =\"14444544\"]\n  20 [size=\"67942400\", alpha=\"0.06\", expect_size=\"20382720\"] \n  20 -> 21 [size =\"20382720\"]\n  20 -> 22 [size =\"20382720\"]\n  20 -> 23 [size =\"20382720\"]\n  20 -> 25 [size =\"20382720\"]\n  20 -> 26 [size =\"20382720\"]\n  20 -> 30 [size =\"20382720\"]\n  21 [size=\"154350933\", alpha=\"0.19\", expect_size=\"46305280\"] \n  22 [size=\"45472427\", alpha=\"0.19\", expect_size=\"13641728\"] \n  23 [size=\"140332373\", alpha=\"0.17\", expect_size=\"42099712\"] \n  24 [size=\"73915733\", alpha=\"0.06\", expect_size=\"22174720\"] \n  25 [size=\"53282133\", alpha=\"0.04\", expect_size=\"15984640\"] \n  26 [size=\"138878293\", alpha=\"0.02\", expect_size=\"41663488\"] \n  27 [size=\"68877653\", alpha=\"0.01\", expect_size=\"20663296\"] \n  28 [size=\"77670400\", alpha=\"0.03\", expect_size=\"23301120\"] \n  29 [size=\"43697493\", alpha=\"0.15\", expect_size=\"13109248\"] \n  30 [size=\"152320000\", alpha=\"0.06\", expect_size=\"45696000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103606272\", alpha=\"0.13\", expect_size=\"51803136\"] \n  1 -> 21 [size =\"51803136\"]\n  1 -> 22 [size =\"51803136\"]\n  1 -> 26 [size =\"51803136\"]\n  2 [size=\"54355968\", alpha=\"0.18\", expect_size=\"27177984\"] \n  2 -> 20 [size =\"27177984\"]\n  2 -> 22 [size =\"27177984\"]\n  2 -> 26 [size =\"27177984\"]\n  3 [size=\"103544832\", alpha=\"0.10\", expect_size=\"51772416\"] \n  3 -> 22 [size =\"51772416\"]\n  3 -> 28 [size =\"51772416\"]\n  4 [size=\"28110848\", alpha=\"0.18\", expect_size=\"14055424\"] \n  4 -> 22 [size =\"14055424\"]\n  5 [size=\"73676800\", alpha=\"0.11\", expect_size=\"36838400\"] \n  5 -> 22 [size =\"36838400\"]\n  5 -> 25 [size =\"36838400\"]\n  6 [size=\"92592128\", alpha=\"0.17\", expect_size=\"46296064\"] \n  6 -> 20 [size =\"46296064\"]\n  6 -> 22 [size =\"46296064\"]\n  6 -> 30 [size =\"46296064\"]\n  7 [size=\"66603008\", alpha=\"0.18\", expect_size=\"33301504\"] \n  7 -> 20 [size =\"33301504\"]\n  7 -> 26 [size =\"33301504\"]\n  7 -> 28 [size =\"33301504\"]\n  8 [size=\"102576128\", alpha=\"0.14\", expect_size=\"51288064\"] \n  8 -> 24 [size =\"51288064\"]\n  8 -> 26 [size =\"51288064\"]\n  9 [size=\"38174720\", alpha=\"0.02\", expect_size=\"19087360\"] \n  9 -> 20 [size =\"19087360\"]\n  9 -> 22 [size =\"19087360\"]\n  9 -> 25 [size =\"19087360\"]\n  9 -> 26 [size =\"19087360\"]\n  9 -> 29 [size =\"19087360\"]\n  10 [size=\"81532928\", alpha=\"0.11\", expect_size=\"40766464\"] \n  10 -> 20 [size =\"40766464\"]\n  10 -> 28 [size =\"40766464\"]\n  10 -> 29 [size =\"40766464\"]\n  11 [size=\"10725376\", alpha=\"0.03\", expect_size=\"5362688\"] \n  11 -> 20 [size =\"5362688\"]\n  11 -> 28 [size =\"5362688\"]\n  12 [size=\"69863424\", alpha=\"0.06\", expect_size=\"34931712\"] \n  12 -> 22 [size =\"34931712\"]\n  12 -> 26 [size =\"34931712\"]\n  12 -> 27 [size =\"34931712\"]\n  12 -> 28 [size =\"34931712\"]\n  13 [size=\"59080704\", alpha=\"0.07\", expect_size=\"29540352\"] \n  13 -> 20 [size =\"29540352\"]\n  13 -> 22 [size =\"29540352\"]\n  13 -> 26 [size =\"29540352\"]\n  13 -> 28 [size =\"29540352\"]\n  14 [size=\"11339776\", alpha=\"0.04\", expect_size=\"5669888\"] \n  14 -> 26 [size =\"5669888\"]\n  15 [size=\"95850496\", alpha=\"0.11\", expect_size=\"47925248\"] \n  15 -> 25 [size =\"47925248\"]\n  16 [size=\"52430848\", alpha=\"0.09\", expect_size=\"26215424\"] \n  16 -> 20 [size =\"26215424\"]\n  16 -> 21 [size =\"26215424\"]\n  16 -> 28 [size =\"26215424\"]\n  17 [size=\"36978688\", alpha=\"0.13\", expect_size=\"18489344\"] \n  17 -> 23 [size =\"18489344\"]\n  17 -> 24 [size =\"18489344\"]\n  18 [size=\"28393472\", alpha=\"0.15\", expect_size=\"14196736\"] \n  18 -> 20 [size =\"14196736\"]\n  18 -> 23 [size =\"14196736\"]\n  18 -> 26 [size =\"14196736\"]\n  18 -> 28 [size =\"14196736\"]\n  18 -> 29 [size =\"14196736\"]\n  19 [size=\"93509632\", alpha=\"0.02\", expect_size=\"46754816\"] \n  19 -> 20 [size =\"46754816\"]\n  19 -> 21 [size =\"46754816\"]\n  19 -> 22 [size =\"46754816\"]\n  19 -> 26 [size =\"46754816\"]\n  20 [size=\"102561792\", alpha=\"0.16\", expect_size=\"51280896\"] \n  21 [size=\"59260928\", alpha=\"0.10\", expect_size=\"29630464\"] \n  22 [size=\"73959424\", alpha=\"0.13\", expect_size=\"36979712\"] \n  23 [size=\"102430720\", alpha=\"0.16\", expect_size=\"51215360\"] \n  24 [size=\"41371648\", alpha=\"0.02\", expect_size=\"20685824\"] \n  25 [size=\"58468352\", alpha=\"0.02\", expect_size=\"29234176\"] \n  26 [size=\"17836032\", alpha=\"0.20\", expect_size=\"8918016\"] \n  27 [size=\"61304832\", alpha=\"0.09\", expect_size=\"30652416\"] \n  28 [size=\"26136576\", alpha=\"0.17\", expect_size=\"13068288\"] \n  29 [size=\"94658560\", alpha=\"0.12\", expect_size=\"47329280\"] \n  30 [size=\"12079104\", alpha=\"0.02\", expect_size=\"6039552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95293440\", alpha=\"0.19\", expect_size=\"47646720\"] \n  1 -> 26 [size =\"47646720\"]\n  2 [size=\"22958080\", alpha=\"0.16\", expect_size=\"11479040\"] \n  2 -> 24 [size =\"11479040\"]\n  2 -> 26 [size =\"11479040\"]\n  2 -> 28 [size =\"11479040\"]\n  2 -> 29 [size =\"11479040\"]\n  3 [size=\"96212992\", alpha=\"0.11\", expect_size=\"48106496\"] \n  3 -> 24 [size =\"48106496\"]\n  3 -> 26 [size =\"48106496\"]\n  3 -> 28 [size =\"48106496\"]\n  3 -> 29 [size =\"48106496\"]\n  4 [size=\"27428864\", alpha=\"0.01\", expect_size=\"13714432\"] \n  4 -> 24 [size =\"13714432\"]\n  4 -> 26 [size =\"13714432\"]\n  4 -> 27 [size =\"13714432\"]\n  4 -> 29 [size =\"13714432\"]\n  5 [size=\"24918016\", alpha=\"0.02\", expect_size=\"12459008\"] \n  5 -> 24 [size =\"12459008\"]\n  5 -> 26 [size =\"12459008\"]\n  5 -> 27 [size =\"12459008\"]\n  5 -> 28 [size =\"12459008\"]\n  5 -> 29 [size =\"12459008\"]\n  6 [size=\"26816512\", alpha=\"0.07\", expect_size=\"13408256\"] \n  6 -> 24 [size =\"13408256\"]\n  6 -> 26 [size =\"13408256\"]\n  6 -> 27 [size =\"13408256\"]\n  7 [size=\"88242176\", alpha=\"0.01\", expect_size=\"44121088\"] \n  7 -> 25 [size =\"44121088\"]\n  7 -> 26 [size =\"44121088\"]\n  7 -> 27 [size =\"44121088\"]\n  7 -> 30 [size =\"44121088\"]\n  8 [size=\"20277248\", alpha=\"0.13\", expect_size=\"10138624\"] \n  8 -> 26 [size =\"10138624\"]\n  8 -> 27 [size =\"10138624\"]\n  8 -> 29 [size =\"10138624\"]\n  8 -> 30 [size =\"10138624\"]\n  9 [size=\"52011008\", alpha=\"0.18\", expect_size=\"26005504\"] \n  9 -> 24 [size =\"26005504\"]\n  9 -> 25 [size =\"26005504\"]\n  9 -> 26 [size =\"26005504\"]\n  9 -> 27 [size =\"26005504\"]\n  9 -> 29 [size =\"26005504\"]\n  9 -> 30 [size =\"26005504\"]\n  10 [size=\"30765056\", alpha=\"0.08\", expect_size=\"15382528\"] \n  10 -> 27 [size =\"15382528\"]\n  10 -> 30 [size =\"15382528\"]\n  11 [size=\"30068736\", alpha=\"0.10\", expect_size=\"15034368\"] \n  11 -> 24 [size =\"15034368\"]\n  11 -> 27 [size =\"15034368\"]\n  11 -> 28 [size =\"15034368\"]\n  11 -> 30 [size =\"15034368\"]\n  12 [size=\"23750656\", alpha=\"0.14\", expect_size=\"11875328\"] \n  12 -> 24 [size =\"11875328\"]\n  12 -> 27 [size =\"11875328\"]\n  12 -> 28 [size =\"11875328\"]\n  13 [size=\"96968704\", alpha=\"0.01\", expect_size=\"48484352\"] \n  13 -> 23 [size =\"48484352\"]\n  13 -> 25 [size =\"48484352\"]\n  13 -> 26 [size =\"48484352\"]\n  13 -> 29 [size =\"48484352\"]\n  13 -> 30 [size =\"48484352\"]\n  14 [size=\"52459520\", alpha=\"0.11\", expect_size=\"26229760\"] \n  14 -> 25 [size =\"26229760\"]\n  14 -> 26 [size =\"26229760\"]\n  14 -> 27 [size =\"26229760\"]\n  14 -> 28 [size =\"26229760\"]\n  14 -> 29 [size =\"26229760\"]\n  15 [size=\"57896960\", alpha=\"0.17\", expect_size=\"28948480\"] \n  15 -> 25 [size =\"28948480\"]\n  15 -> 29 [size =\"28948480\"]\n  16 [size=\"66639872\", alpha=\"0.16\", expect_size=\"33319936\"] \n  16 -> 22 [size =\"33319936\"]\n  16 -> 24 [size =\"33319936\"]\n  16 -> 25 [size =\"33319936\"]\n  16 -> 29 [size =\"33319936\"]\n  17 [size=\"97884160\", alpha=\"0.18\", expect_size=\"48942080\"] \n  17 -> 22 [size =\"48942080\"]\n  17 -> 24 [size =\"48942080\"]\n  17 -> 25 [size =\"48942080\"]\n  17 -> 27 [size =\"48942080\"]\n  17 -> 30 [size =\"48942080\"]\n  18 [size=\"100556800\", alpha=\"0.14\", expect_size=\"50278400\"] \n  18 -> 24 [size =\"50278400\"]\n  18 -> 26 [size =\"50278400\"]\n  18 -> 27 [size =\"50278400\"]\n  18 -> 27 [size =\"50278400\"]\n  18 -> 29 [size =\"50278400\"]\n  19 [size=\"66641920\", alpha=\"0.14\", expect_size=\"33320960\"] \n  19 -> 22 [size =\"33320960\"]\n  19 -> 25 [size =\"33320960\"]\n  19 -> 26 [size =\"33320960\"]\n  20 [size=\"56107008\", alpha=\"0.06\", expect_size=\"28053504\"] \n  20 -> 22 [size =\"28053504\"]\n  20 -> 26 [size =\"28053504\"]\n  20 -> 28 [size =\"28053504\"]\n  21 [size=\"94920704\", alpha=\"0.15\", expect_size=\"47460352\"] \n  21 -> 24 [size =\"47460352\"]\n  21 -> 25 [size =\"47460352\"]\n  21 -> 29 [size =\"47460352\"]\n  21 -> 30 [size =\"47460352\"]\n  22 [size=\"46716928\", alpha=\"0.07\", expect_size=\"23358464\"] \n  23 [size=\"20471808\", alpha=\"0.17\", expect_size=\"10235904\"] \n  24 [size=\"23455744\", alpha=\"0.11\", expect_size=\"11727872\"] \n  25 [size=\"77164544\", alpha=\"0.07\", expect_size=\"38582272\"] \n  26 [size=\"62341120\", alpha=\"0.08\", expect_size=\"31170560\"] \n  27 [size=\"45539328\", alpha=\"0.04\", expect_size=\"22769664\"] \n  28 [size=\"37187584\", alpha=\"0.03\", expect_size=\"18593792\"] \n  29 [size=\"104331264\", alpha=\"0.11\", expect_size=\"52165632\"] \n  30 [size=\"77160448\", alpha=\"0.03\", expect_size=\"38580224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117957973\", alpha=\"0.07\", expect_size=\"35387392\"] \n  2 [size=\"42956800\", alpha=\"0.03\", expect_size=\"12887040\"] \n  3 [size=\"87859200\", alpha=\"0.13\", expect_size=\"26357760\"] \n  4 [size=\"26340693\", alpha=\"0.13\", expect_size=\"7902208\"] \n  5 [size=\"57296213\", alpha=\"0.02\", expect_size=\"17188864\"] \n  6 [size=\"144192853\", alpha=\"0.05\", expect_size=\"43257856\"] \n  7 [size=\"168908800\", alpha=\"0.16\", expect_size=\"50672640\"] \n  8 [size=\"68031147\", alpha=\"0.04\", expect_size=\"20409344\"] \n  9 [size=\"101891413\", alpha=\"0.15\", expect_size=\"30567424\"] \n  10 [size=\"132901547\", alpha=\"0.00\", expect_size=\"39870464\"] \n  11 [size=\"125381973\", alpha=\"0.02\", expect_size=\"37614592\"] \n  12 [size=\"23674880\", alpha=\"0.02\", expect_size=\"7102464\"] \n  13 [size=\"50551467\", alpha=\"0.05\", expect_size=\"15165440\"] \n  14 [size=\"151439360\", alpha=\"0.01\", expect_size=\"45431808\"] \n  15 [size=\"93941760\", alpha=\"0.13\", expect_size=\"28182528\"] \n  16 [size=\"110045867\", alpha=\"0.08\", expect_size=\"33013760\"] \n  17 [size=\"147828053\", alpha=\"0.20\", expect_size=\"44348416\"] \n  18 [size=\"115186347\", alpha=\"0.11\", expect_size=\"34555904\"] \n  19 [size=\"146882560\", alpha=\"0.06\", expect_size=\"44064768\"] \n  20 [size=\"109486080\", alpha=\"0.05\", expect_size=\"32845824\"] \n  21 [size=\"110370133\", alpha=\"0.16\", expect_size=\"33111040\"] \n  22 [size=\"127569920\", alpha=\"0.11\", expect_size=\"38270976\"] \n  23 [size=\"146141867\", alpha=\"0.15\", expect_size=\"43842560\"] \n  24 [size=\"26644480\", alpha=\"0.20\", expect_size=\"7993344\"] \n  25 [size=\"35672747\", alpha=\"0.10\", expect_size=\"10701824\"] \n  26 [size=\"140212907\", alpha=\"0.16\", expect_size=\"42063872\"] \n  27 [size=\"42711040\", alpha=\"0.01\", expect_size=\"12813312\"] \n  28 [size=\"38908587\", alpha=\"0.13\", expect_size=\"11672576\"] \n  29 [size=\"124269227\", alpha=\"0.15\", expect_size=\"37280768\"] \n  30 [size=\"170847573\", alpha=\"0.12\", expect_size=\"51254272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39170048\", alpha=\"0.19\", expect_size=\"19585024\"] \n  1 -> 4 [size =\"19585024\"]\n  2 [size=\"81076224\", alpha=\"0.14\", expect_size=\"40538112\"] \n  2 -> 3 [size =\"40538112\"]\n  3 [size=\"59611136\", alpha=\"0.04\", expect_size=\"29805568\"] \n  3 -> 5 [size =\"29805568\"]\n  4 [size=\"52893696\", alpha=\"0.06\", expect_size=\"26446848\"] \n  4 -> 5 [size =\"26446848\"]\n  4 -> 6 [size =\"26446848\"]\n  5 [size=\"22251520\", alpha=\"0.00\", expect_size=\"11125760\"] \n  5 -> 8 [size =\"11125760\"]\n  6 [size=\"69570560\", alpha=\"0.09\", expect_size=\"34785280\"] \n  6 -> 7 [size =\"34785280\"]\n  7 [size=\"60368896\", alpha=\"0.14\", expect_size=\"30184448\"] \n  8 [size=\"90808320\", alpha=\"0.07\", expect_size=\"45404160\"] \n  8 -> 9 [size =\"45404160\"]\n  9 [size=\"39043072\", alpha=\"0.20\", expect_size=\"19521536\"] \n  9 -> 10 [size =\"19521536\"]\n  10 [size=\"89935872\", alpha=\"0.05\", expect_size=\"44967936\"] \n  10 -> 11 [size =\"44967936\"]\n  10 -> 12 [size =\"44967936\"]\n  11 [size=\"56737792\", alpha=\"0.10\", expect_size=\"28368896\"] \n  12 [size=\"49870848\", alpha=\"0.17\", expect_size=\"24935424\"] \n  12 -> 13 [size =\"24935424\"]\n  13 [size=\"20867072\", alpha=\"0.11\", expect_size=\"10433536\"] \n  13 -> 14 [size =\"10433536\"]\n  14 [size=\"38977536\", alpha=\"0.03\", expect_size=\"19488768\"] \n  14 -> 15 [size =\"19488768\"]\n  15 [size=\"65806336\", alpha=\"0.15\", expect_size=\"32903168\"] \n  15 -> 16 [size =\"32903168\"]\n  16 [size=\"66058240\", alpha=\"0.07\", expect_size=\"33029120\"] \n  16 -> 17 [size =\"33029120\"]\n  16 -> 18 [size =\"33029120\"]\n  17 [size=\"15486976\", alpha=\"0.00\", expect_size=\"7743488\"] \n  17 -> 19 [size =\"7743488\"]\n  18 [size=\"82524160\", alpha=\"0.15\", expect_size=\"41262080\"] \n  18 -> 19 [size =\"41262080\"]\n  19 [size=\"22753280\", alpha=\"0.07\", expect_size=\"11376640\"] \n  19 -> 20 [size =\"11376640\"]\n  19 -> 21 [size =\"11376640\"]\n  20 [size=\"20408320\", alpha=\"0.13\", expect_size=\"10204160\"] \n  20 -> 22 [size =\"10204160\"]\n  21 [size=\"43081728\", alpha=\"0.06\", expect_size=\"21540864\"] \n  21 -> 22 [size =\"21540864\"]\n  21 -> 23 [size =\"21540864\"]\n  22 [size=\"90773504\", alpha=\"0.13\", expect_size=\"45386752\"] \n  22 -> 24 [size =\"45386752\"]\n  22 -> 25 [size =\"45386752\"]\n  23 [size=\"75984896\", alpha=\"0.10\", expect_size=\"37992448\"] \n  23 -> 25 [size =\"37992448\"]\n  24 [size=\"33501184\", alpha=\"0.16\", expect_size=\"16750592\"] \n  24 -> 26 [size =\"16750592\"]\n  24 -> 27 [size =\"16750592\"]\n  25 [size=\"48226304\", alpha=\"0.05\", expect_size=\"24113152\"] \n  25 -> 26 [size =\"24113152\"]\n  26 [size=\"23095296\", alpha=\"0.07\", expect_size=\"11547648\"] \n  26 -> 28 [size =\"11547648\"]\n  27 [size=\"56020992\", alpha=\"0.19\", expect_size=\"28010496\"] \n  28 [size=\"57012224\", alpha=\"0.08\", expect_size=\"28506112\"] \n  28 -> 29 [size =\"28506112\"]\n  28 -> 30 [size =\"28506112\"]\n  29 [size=\"34156544\", alpha=\"0.03\", expect_size=\"17078272\"] \n  30 [size=\"69462016\", alpha=\"0.15\", expect_size=\"34731008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60318720\", alpha=\"0.12\", expect_size=\"24127488\"] \n  1 -> 12 [size =\"24127488\"]\n  1 -> 13 [size =\"24127488\"]\n  2 [size=\"87424000\", alpha=\"0.20\", expect_size=\"34969600\"] \n  2 -> 11 [size =\"34969600\"]\n  3 [size=\"83525120\", alpha=\"0.15\", expect_size=\"33410048\"] \n  3 -> 11 [size =\"33410048\"]\n  3 -> 13 [size =\"33410048\"]\n  3 -> 15 [size =\"33410048\"]\n  3 -> 17 [size =\"33410048\"]\n  4 [size=\"126748160\", alpha=\"0.19\", expect_size=\"50699264\"] \n  4 -> 11 [size =\"50699264\"]\n  4 -> 13 [size =\"50699264\"]\n  4 -> 15 [size =\"50699264\"]\n  4 -> 16 [size =\"50699264\"]\n  5 [size=\"17308160\", alpha=\"0.10\", expect_size=\"6923264\"] \n  5 -> 14 [size =\"6923264\"]\n  5 -> 17 [size =\"6923264\"]\n  6 [size=\"26583040\", alpha=\"0.10\", expect_size=\"10633216\"] \n  6 -> 11 [size =\"10633216\"]\n  6 -> 13 [size =\"10633216\"]\n  6 -> 16 [size =\"10633216\"]\n  6 -> 18 [size =\"10633216\"]\n  7 [size=\"29317120\", alpha=\"0.03\", expect_size=\"11726848\"] \n  7 -> 14 [size =\"11726848\"]\n  7 -> 15 [size =\"11726848\"]\n  7 -> 16 [size =\"11726848\"]\n  7 -> 18 [size =\"11726848\"]\n  8 [size=\"67302400\", alpha=\"0.11\", expect_size=\"26920960\"] \n  8 -> 10 [size =\"26920960\"]\n  8 -> 11 [size =\"26920960\"]\n  8 -> 13 [size =\"26920960\"]\n  8 -> 14 [size =\"26920960\"]\n  8 -> 16 [size =\"26920960\"]\n  8 -> 17 [size =\"26920960\"]\n  8 -> 18 [size =\"26920960\"]\n  9 [size=\"26124800\", alpha=\"0.10\", expect_size=\"10449920\"] \n  9 -> 13 [size =\"10449920\"]\n  9 -> 14 [size =\"10449920\"]\n  10 [size=\"71738880\", alpha=\"0.06\", expect_size=\"28695552\"] \n  10 -> 22 [size =\"28695552\"]\n  10 -> 23 [size =\"28695552\"]\n  11 [size=\"28682240\", alpha=\"0.14\", expect_size=\"11472896\"] \n  11 -> 19 [size =\"11472896\"]\n  11 -> 20 [size =\"11472896\"]\n  11 -> 23 [size =\"11472896\"]\n  11 -> 24 [size =\"11472896\"]\n  11 -> 26 [size =\"11472896\"]\n  11 -> 27 [size =\"11472896\"]\n  11 -> 28 [size =\"11472896\"]\n  12 [size=\"101401600\", alpha=\"0.01\", expect_size=\"40560640\"] \n  12 -> 19 [size =\"40560640\"]\n  12 -> 20 [size =\"40560640\"]\n  12 -> 24 [size =\"40560640\"]\n  12 -> 24 [size =\"40560640\"]\n  12 -> 27 [size =\"40560640\"]\n  12 -> 28 [size =\"40560640\"]\n  12 -> 28 [size =\"40560640\"]\n  13 [size=\"99281920\", alpha=\"0.00\", expect_size=\"39712768\"] \n  13 -> 20 [size =\"39712768\"]\n  13 -> 23 [size =\"39712768\"]\n  13 -> 28 [size =\"39712768\"]\n  14 [size=\"68856320\", alpha=\"0.12\", expect_size=\"27542528\"] \n  14 -> 19 [size =\"27542528\"]\n  14 -> 20 [size =\"27542528\"]\n  14 -> 23 [size =\"27542528\"]\n  14 -> 24 [size =\"27542528\"]\n  14 -> 26 [size =\"27542528\"]\n  15 [size=\"62254080\", alpha=\"0.07\", expect_size=\"24901632\"] \n  15 -> 19 [size =\"24901632\"]\n  15 -> 24 [size =\"24901632\"]\n  15 -> 25 [size =\"24901632\"]\n  15 -> 26 [size =\"24901632\"]\n  15 -> 27 [size =\"24901632\"]\n  15 -> 28 [size =\"24901632\"]\n  16 [size=\"123261440\", alpha=\"0.15\", expect_size=\"49304576\"] \n  16 -> 20 [size =\"49304576\"]\n  16 -> 28 [size =\"49304576\"]\n  17 [size=\"66009600\", alpha=\"0.06\", expect_size=\"26403840\"] \n  17 -> 20 [size =\"26403840\"]\n  17 -> 21 [size =\"26403840\"]\n  17 -> 23 [size =\"26403840\"]\n  17 -> 24 [size =\"26403840\"]\n  18 [size=\"80947200\", alpha=\"0.08\", expect_size=\"32378880\"] \n  18 -> 25 [size =\"32378880\"]\n  18 -> 26 [size =\"32378880\"]\n  18 -> 28 [size =\"32378880\"]\n  19 [size=\"28177920\", alpha=\"0.03\", expect_size=\"11271168\"] \n  19 -> 30 [size =\"11271168\"]\n  20 [size=\"84825600\", alpha=\"0.03\", expect_size=\"33930240\"] \n  20 -> 29 [size =\"33930240\"]\n  20 -> 30 [size =\"33930240\"]\n  21 [size=\"119848960\", alpha=\"0.11\", expect_size=\"47939584\"] \n  22 [size=\"83491840\", alpha=\"0.11\", expect_size=\"33396736\"] \n  23 [size=\"88143360\", alpha=\"0.04\", expect_size=\"35257344\"] \n  23 -> 29 [size =\"35257344\"]\n  24 [size=\"89136640\", alpha=\"0.15\", expect_size=\"35654656\"] \n  24 -> 30 [size =\"35654656\"]\n  25 [size=\"40440320\", alpha=\"0.08\", expect_size=\"16176128\"] \n  25 -> 29 [size =\"16176128\"]\n  25 -> 30 [size =\"16176128\"]\n  26 [size=\"83591680\", alpha=\"0.03\", expect_size=\"33436672\"] \n  26 -> 29 [size =\"33436672\"]\n  26 -> 30 [size =\"33436672\"]\n  27 [size=\"55063040\", alpha=\"0.00\", expect_size=\"22025216\"] \n  27 -> 29 [size =\"22025216\"]\n  27 -> 30 [size =\"22025216\"]\n  28 [size=\"92582400\", alpha=\"0.07\", expect_size=\"37032960\"] \n  28 -> 29 [size =\"37032960\"]\n  28 -> 30 [size =\"37032960\"]\n  29 [size=\"24225280\", alpha=\"0.16\", expect_size=\"9690112\"] \n  30 [size=\"39201280\", alpha=\"0.15\", expect_size=\"15680512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68976640\", alpha=\"0.03\", expect_size=\"20692992\"] \n  1 -> 2 [size =\"20692992\"]\n  2 [size=\"172083200\", alpha=\"0.07\", expect_size=\"51624960\"] \n  2 -> 3 [size =\"51624960\"]\n  3 [size=\"122531840\", alpha=\"0.02\", expect_size=\"36759552\"] \n  3 -> 4 [size =\"36759552\"]\n  4 [size=\"139509760\", alpha=\"0.09\", expect_size=\"41852928\"] \n  4 -> 5 [size =\"41852928\"]\n  5 [size=\"131365547\", alpha=\"0.19\", expect_size=\"39409664\"] \n  5 -> 6 [size =\"39409664\"]\n  6 [size=\"152886613\", alpha=\"0.03\", expect_size=\"45865984\"] \n  6 -> 7 [size =\"45865984\"]\n  7 [size=\"165594453\", alpha=\"0.05\", expect_size=\"49678336\"] \n  7 -> 8 [size =\"49678336\"]\n  8 [size=\"108544000\", alpha=\"0.12\", expect_size=\"32563200\"] \n  8 -> 9 [size =\"32563200\"]\n  9 [size=\"161887573\", alpha=\"0.16\", expect_size=\"48566272\"] \n  9 -> 10 [size =\"48566272\"]\n  10 [size=\"51817813\", alpha=\"0.16\", expect_size=\"15545344\"] \n  10 -> 11 [size =\"15545344\"]\n  11 [size=\"114329600\", alpha=\"0.05\", expect_size=\"34298880\"] \n  11 -> 12 [size =\"34298880\"]\n  12 [size=\"139048960\", alpha=\"0.06\", expect_size=\"41714688\"] \n  12 -> 13 [size =\"41714688\"]\n  13 [size=\"40608427\", alpha=\"0.04\", expect_size=\"12182528\"] \n  13 -> 14 [size =\"12182528\"]\n  14 [size=\"53975040\", alpha=\"0.01\", expect_size=\"16192512\"] \n  14 -> 15 [size =\"16192512\"]\n  15 [size=\"124443307\", alpha=\"0.16\", expect_size=\"37332992\"] \n  15 -> 16 [size =\"37332992\"]\n  16 [size=\"114821120\", alpha=\"0.13\", expect_size=\"34446336\"] \n  16 -> 17 [size =\"34446336\"]\n  17 [size=\"136605013\", alpha=\"0.01\", expect_size=\"40981504\"] \n  17 -> 18 [size =\"40981504\"]\n  18 [size=\"20613120\", alpha=\"0.10\", expect_size=\"6183936\"] \n  18 -> 19 [size =\"6183936\"]\n  19 [size=\"113435307\", alpha=\"0.04\", expect_size=\"34030592\"] \n  19 -> 20 [size =\"34030592\"]\n  20 [size=\"85705387\", alpha=\"0.19\", expect_size=\"25711616\"] \n  20 -> 21 [size =\"25711616\"]\n  21 [size=\"52558507\", alpha=\"0.20\", expect_size=\"15767552\"] \n  21 -> 22 [size =\"15767552\"]\n  22 [size=\"89419093\", alpha=\"0.01\", expect_size=\"26825728\"] \n  22 -> 23 [size =\"26825728\"]\n  23 [size=\"133311147\", alpha=\"0.15\", expect_size=\"39993344\"] \n  23 -> 24 [size =\"39993344\"]\n  24 [size=\"161361920\", alpha=\"0.04\", expect_size=\"48408576\"] \n  24 -> 25 [size =\"48408576\"]\n  25 [size=\"165881173\", alpha=\"0.08\", expect_size=\"49764352\"] \n  25 -> 26 [size =\"49764352\"]\n  26 [size=\"134403413\", alpha=\"0.10\", expect_size=\"40321024\"] \n  26 -> 27 [size =\"40321024\"]\n  27 [size=\"77028693\", alpha=\"0.10\", expect_size=\"23108608\"] \n  27 -> 28 [size =\"23108608\"]\n  28 [size=\"85125120\", alpha=\"0.02\", expect_size=\"25537536\"] \n  28 -> 29 [size =\"25537536\"]\n  29 [size=\"162706773\", alpha=\"0.12\", expect_size=\"48812032\"] \n  29 -> 30 [size =\"48812032\"]\n  30 [size=\"37847040\", alpha=\"0.06\", expect_size=\"11354112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50010112\", alpha=\"0.05\", expect_size=\"25005056\"] \n  1 -> 20 [size =\"25005056\"]\n  1 -> 22 [size =\"25005056\"]\n  1 -> 29 [size =\"25005056\"]\n  2 [size=\"89071616\", alpha=\"0.04\", expect_size=\"44535808\"] \n  2 -> 20 [size =\"44535808\"]\n  2 -> 21 [size =\"44535808\"]\n  2 -> 22 [size =\"44535808\"]\n  2 -> 23 [size =\"44535808\"]\n  2 -> 27 [size =\"44535808\"]\n  2 -> 30 [size =\"44535808\"]\n  3 [size=\"53336064\", alpha=\"0.02\", expect_size=\"26668032\"] \n  3 -> 21 [size =\"26668032\"]\n  3 -> 22 [size =\"26668032\"]\n  3 -> 23 [size =\"26668032\"]\n  3 -> 28 [size =\"26668032\"]\n  4 [size=\"37603328\", alpha=\"0.01\", expect_size=\"18801664\"] \n  4 -> 20 [size =\"18801664\"]\n  4 -> 21 [size =\"18801664\"]\n  4 -> 22 [size =\"18801664\"]\n  4 -> 23 [size =\"18801664\"]\n  4 -> 24 [size =\"18801664\"]\n  4 -> 29 [size =\"18801664\"]\n  5 [size=\"15726592\", alpha=\"0.08\", expect_size=\"7863296\"] \n  5 -> 20 [size =\"7863296\"]\n  5 -> 21 [size =\"7863296\"]\n  5 -> 23 [size =\"7863296\"]\n  5 -> 24 [size =\"7863296\"]\n  5 -> 26 [size =\"7863296\"]\n  5 -> 27 [size =\"7863296\"]\n  5 -> 28 [size =\"7863296\"]\n  6 [size=\"38756352\", alpha=\"0.19\", expect_size=\"19378176\"] \n  6 -> 20 [size =\"19378176\"]\n  6 -> 21 [size =\"19378176\"]\n  6 -> 22 [size =\"19378176\"]\n  6 -> 23 [size =\"19378176\"]\n  6 -> 24 [size =\"19378176\"]\n  6 -> 25 [size =\"19378176\"]\n  6 -> 26 [size =\"19378176\"]\n  6 -> 28 [size =\"19378176\"]\n  6 -> 29 [size =\"19378176\"]\n  7 [size=\"13144064\", alpha=\"0.11\", expect_size=\"6572032\"] \n  7 -> 20 [size =\"6572032\"]\n  7 -> 21 [size =\"6572032\"]\n  7 -> 22 [size =\"6572032\"]\n  7 -> 23 [size =\"6572032\"]\n  7 -> 27 [size =\"6572032\"]\n  7 -> 28 [size =\"6572032\"]\n  7 -> 29 [size =\"6572032\"]\n  7 -> 30 [size =\"6572032\"]\n  8 [size=\"38014976\", alpha=\"0.18\", expect_size=\"19007488\"] \n  8 -> 20 [size =\"19007488\"]\n  8 -> 21 [size =\"19007488\"]\n  8 -> 23 [size =\"19007488\"]\n  8 -> 24 [size =\"19007488\"]\n  8 -> 26 [size =\"19007488\"]\n  8 -> 27 [size =\"19007488\"]\n  8 -> 29 [size =\"19007488\"]\n  9 [size=\"58599424\", alpha=\"0.16\", expect_size=\"29299712\"] \n  9 -> 22 [size =\"29299712\"]\n  9 -> 24 [size =\"29299712\"]\n  9 -> 26 [size =\"29299712\"]\n  9 -> 27 [size =\"29299712\"]\n  9 -> 28 [size =\"29299712\"]\n  10 [size=\"40683520\", alpha=\"0.18\", expect_size=\"20341760\"] \n  10 -> 20 [size =\"20341760\"]\n  10 -> 21 [size =\"20341760\"]\n  10 -> 22 [size =\"20341760\"]\n  10 -> 23 [size =\"20341760\"]\n  10 -> 27 [size =\"20341760\"]\n  10 -> 28 [size =\"20341760\"]\n  11 [size=\"98904064\", alpha=\"0.03\", expect_size=\"49452032\"] \n  11 -> 20 [size =\"49452032\"]\n  11 -> 21 [size =\"49452032\"]\n  11 -> 22 [size =\"49452032\"]\n  11 -> 23 [size =\"49452032\"]\n  11 -> 24 [size =\"49452032\"]\n  11 -> 27 [size =\"49452032\"]\n  11 -> 28 [size =\"49452032\"]\n  11 -> 30 [size =\"49452032\"]\n  12 [size=\"29612032\", alpha=\"0.10\", expect_size=\"14806016\"] \n  12 -> 21 [size =\"14806016\"]\n  12 -> 23 [size =\"14806016\"]\n  12 -> 27 [size =\"14806016\"]\n  12 -> 28 [size =\"14806016\"]\n  13 [size=\"50104320\", alpha=\"0.03\", expect_size=\"25052160\"] \n  13 -> 21 [size =\"25052160\"]\n  13 -> 25 [size =\"25052160\"]\n  13 -> 27 [size =\"25052160\"]\n  13 -> 29 [size =\"25052160\"]\n  13 -> 30 [size =\"25052160\"]\n  14 [size=\"60733440\", alpha=\"0.14\", expect_size=\"30366720\"] \n  14 -> 20 [size =\"30366720\"]\n  14 -> 28 [size =\"30366720\"]\n  14 -> 29 [size =\"30366720\"]\n  14 -> 29 [size =\"30366720\"]\n  14 -> 30 [size =\"30366720\"]\n  15 [size=\"66697216\", alpha=\"0.11\", expect_size=\"33348608\"] \n  15 -> 20 [size =\"33348608\"]\n  15 -> 22 [size =\"33348608\"]\n  15 -> 24 [size =\"33348608\"]\n  15 -> 26 [size =\"33348608\"]\n  15 -> 27 [size =\"33348608\"]\n  15 -> 28 [size =\"33348608\"]\n  15 -> 29 [size =\"33348608\"]\n  15 -> 30 [size =\"33348608\"]\n  16 [size=\"103940096\", alpha=\"0.19\", expect_size=\"51970048\"] \n  16 -> 20 [size =\"51970048\"]\n  16 -> 21 [size =\"51970048\"]\n  16 -> 22 [size =\"51970048\"]\n  16 -> 25 [size =\"51970048\"]\n  16 -> 26 [size =\"51970048\"]\n  16 -> 27 [size =\"51970048\"]\n  16 -> 30 [size =\"51970048\"]\n  17 [size=\"97630208\", alpha=\"0.01\", expect_size=\"48815104\"] \n  17 -> 21 [size =\"48815104\"]\n  18 [size=\"53989376\", alpha=\"0.03\", expect_size=\"26994688\"] \n  18 -> 21 [size =\"26994688\"]\n  18 -> 22 [size =\"26994688\"]\n  18 -> 23 [size =\"26994688\"]\n  18 -> 24 [size =\"26994688\"]\n  18 -> 27 [size =\"26994688\"]\n  19 [size=\"45656064\", alpha=\"0.11\", expect_size=\"22828032\"] \n  19 -> 23 [size =\"22828032\"]\n  19 -> 27 [size =\"22828032\"]\n  20 [size=\"25649152\", alpha=\"0.05\", expect_size=\"12824576\"] \n  21 [size=\"15271936\", alpha=\"0.08\", expect_size=\"7635968\"] \n  22 [size=\"30703616\", alpha=\"0.07\", expect_size=\"15351808\"] \n  23 [size=\"77873152\", alpha=\"0.15\", expect_size=\"38936576\"] \n  24 [size=\"91879424\", alpha=\"0.09\", expect_size=\"45939712\"] \n  25 [size=\"62590976\", alpha=\"0.04\", expect_size=\"31295488\"] \n  26 [size=\"19990528\", alpha=\"0.05\", expect_size=\"9995264\"] \n  27 [size=\"14968832\", alpha=\"0.06\", expect_size=\"7484416\"] \n  28 [size=\"20932608\", alpha=\"0.14\", expect_size=\"10466304\"] \n  29 [size=\"34203648\", alpha=\"0.11\", expect_size=\"17101824\"] \n  30 [size=\"88360960\", alpha=\"0.15\", expect_size=\"44180480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49671680\", alpha=\"0.06\", expect_size=\"19868672\"] \n  1 -> 6 [size =\"19868672\"]\n  1 -> 7 [size =\"19868672\"]\n  1 -> 8 [size =\"19868672\"]\n  1 -> 9 [size =\"19868672\"]\n  2 [size=\"28997120\", alpha=\"0.07\", expect_size=\"11598848\"] \n  2 -> 6 [size =\"11598848\"]\n  2 -> 8 [size =\"11598848\"]\n  2 -> 9 [size =\"11598848\"]\n  3 [size=\"33203200\", alpha=\"0.16\", expect_size=\"13281280\"] \n  3 -> 5 [size =\"13281280\"]\n  3 -> 7 [size =\"13281280\"]\n  3 -> 8 [size =\"13281280\"]\n  3 -> 9 [size =\"13281280\"]\n  4 [size=\"102993920\", alpha=\"0.06\", expect_size=\"41197568\"] \n  4 -> 8 [size =\"41197568\"]\n  4 -> 9 [size =\"41197568\"]\n  5 [size=\"43970560\", alpha=\"0.15\", expect_size=\"17588224\"] \n  5 -> 10 [size =\"17588224\"]\n  5 -> 11 [size =\"17588224\"]\n  6 [size=\"125027840\", alpha=\"0.01\", expect_size=\"50011136\"] \n  6 -> 10 [size =\"50011136\"]\n  7 [size=\"57556480\", alpha=\"0.17\", expect_size=\"23022592\"] \n  7 -> 10 [size =\"23022592\"]\n  7 -> 12 [size =\"23022592\"]\n  7 -> 13 [size =\"23022592\"]\n  8 [size=\"69806080\", alpha=\"0.19\", expect_size=\"27922432\"] \n  8 -> 10 [size =\"27922432\"]\n  8 -> 11 [size =\"27922432\"]\n  8 -> 13 [size =\"27922432\"]\n  9 [size=\"107563520\", alpha=\"0.19\", expect_size=\"43025408\"] \n  9 -> 10 [size =\"43025408\"]\n  9 -> 11 [size =\"43025408\"]\n  9 -> 13 [size =\"43025408\"]\n  10 [size=\"38586880\", alpha=\"0.05\", expect_size=\"15434752\"] \n  10 -> 14 [size =\"15434752\"]\n  10 -> 16 [size =\"15434752\"]\n  10 -> 17 [size =\"15434752\"]\n  11 [size=\"104678400\", alpha=\"0.06\", expect_size=\"41871360\"] \n  11 -> 14 [size =\"41871360\"]\n  11 -> 15 [size =\"41871360\"]\n  11 -> 17 [size =\"41871360\"]\n  12 [size=\"24504320\", alpha=\"0.19\", expect_size=\"9801728\"] \n  12 -> 14 [size =\"9801728\"]\n  12 -> 16 [size =\"9801728\"]\n  12 -> 17 [size =\"9801728\"]\n  13 [size=\"65423360\", alpha=\"0.10\", expect_size=\"26169344\"] \n  13 -> 15 [size =\"26169344\"]\n  13 -> 16 [size =\"26169344\"]\n  13 -> 17 [size =\"26169344\"]\n  14 [size=\"39705600\", alpha=\"0.06\", expect_size=\"15882240\"] \n  14 -> 19 [size =\"15882240\"]\n  14 -> 20 [size =\"15882240\"]\n  14 -> 20 [size =\"15882240\"]\n  14 -> 21 [size =\"15882240\"]\n  14 -> 22 [size =\"15882240\"]\n  15 [size=\"73850880\", alpha=\"0.20\", expect_size=\"29540352\"] \n  15 -> 21 [size =\"29540352\"]\n  16 [size=\"42112000\", alpha=\"0.01\", expect_size=\"16844800\"] \n  16 -> 19 [size =\"16844800\"]\n  16 -> 20 [size =\"16844800\"]\n  16 -> 21 [size =\"16844800\"]\n  16 -> 22 [size =\"16844800\"]\n  17 [size=\"47331840\", alpha=\"0.20\", expect_size=\"18932736\"] \n  17 -> 18 [size =\"18932736\"]\n  17 -> 19 [size =\"18932736\"]\n  17 -> 20 [size =\"18932736\"]\n  17 -> 21 [size =\"18932736\"]\n  18 [size=\"27717120\", alpha=\"0.19\", expect_size=\"11086848\"] \n  18 -> 23 [size =\"11086848\"]\n  18 -> 25 [size =\"11086848\"]\n  18 -> 26 [size =\"11086848\"]\n  19 [size=\"20997120\", alpha=\"0.17\", expect_size=\"8398848\"] \n  19 -> 24 [size =\"8398848\"]\n  19 -> 25 [size =\"8398848\"]\n  19 -> 26 [size =\"8398848\"]\n  20 [size=\"17441280\", alpha=\"0.08\", expect_size=\"6976512\"] \n  20 -> 25 [size =\"6976512\"]\n  20 -> 26 [size =\"6976512\"]\n  21 [size=\"46638080\", alpha=\"0.05\", expect_size=\"18655232\"] \n  21 -> 23 [size =\"18655232\"]\n  21 -> 26 [size =\"18655232\"]\n  22 [size=\"83973120\", alpha=\"0.04\", expect_size=\"33589248\"] \n  22 -> 23 [size =\"33589248\"]\n  22 -> 25 [size =\"33589248\"]\n  23 [size=\"75996160\", alpha=\"0.08\", expect_size=\"30398464\"] \n  23 -> 27 [size =\"30398464\"]\n  23 -> 30 [size =\"30398464\"]\n  24 [size=\"14279680\", alpha=\"0.06\", expect_size=\"5711872\"] \n  24 -> 29 [size =\"5711872\"]\n  24 -> 30 [size =\"5711872\"]\n  25 [size=\"51046400\", alpha=\"0.10\", expect_size=\"20418560\"] \n  26 [size=\"50168320\", alpha=\"0.12\", expect_size=\"20067328\"] \n  26 -> 28 [size =\"20067328\"]\n  26 -> 29 [size =\"20067328\"]\n  27 [size=\"54410240\", alpha=\"0.02\", expect_size=\"21764096\"] \n  28 [size=\"51622400\", alpha=\"0.02\", expect_size=\"20648960\"] \n  29 [size=\"44188160\", alpha=\"0.18\", expect_size=\"17675264\"] \n  30 [size=\"25635840\", alpha=\"0.18\", expect_size=\"10254336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48558080\", alpha=\"0.20\", expect_size=\"24279040\"] \n  1 -> 7 [size =\"24279040\"]\n  1 -> 8 [size =\"24279040\"]\n  2 [size=\"25370624\", alpha=\"0.13\", expect_size=\"12685312\"] \n  2 -> 8 [size =\"12685312\"]\n  2 -> 9 [size =\"12685312\"]\n  3 [size=\"83982336\", alpha=\"0.14\", expect_size=\"41991168\"] \n  3 -> 6 [size =\"41991168\"]\n  4 [size=\"70041600\", alpha=\"0.14\", expect_size=\"35020800\"] \n  5 [size=\"66385920\", alpha=\"0.17\", expect_size=\"33192960\"] \n  5 -> 8 [size =\"33192960\"]\n  6 [size=\"91910144\", alpha=\"0.00\", expect_size=\"45955072\"] \n  6 -> 11 [size =\"45955072\"]\n  6 -> 12 [size =\"45955072\"]\n  7 [size=\"43087872\", alpha=\"0.15\", expect_size=\"21543936\"] \n  7 -> 10 [size =\"21543936\"]\n  7 -> 11 [size =\"21543936\"]\n  7 -> 12 [size =\"21543936\"]\n  7 -> 13 [size =\"21543936\"]\n  8 [size=\"27250688\", alpha=\"0.14\", expect_size=\"13625344\"] \n  8 -> 10 [size =\"13625344\"]\n  8 -> 11 [size =\"13625344\"]\n  8 -> 12 [size =\"13625344\"]\n  9 [size=\"78123008\", alpha=\"0.16\", expect_size=\"39061504\"] \n  10 [size=\"83605504\", alpha=\"0.11\", expect_size=\"41802752\"] \n  10 -> 14 [size =\"41802752\"]\n  10 -> 15 [size =\"41802752\"]\n  10 -> 16 [size =\"41802752\"]\n  11 [size=\"63354880\", alpha=\"0.05\", expect_size=\"31677440\"] \n  11 -> 15 [size =\"31677440\"]\n  11 -> 17 [size =\"31677440\"]\n  12 [size=\"62734336\", alpha=\"0.03\", expect_size=\"31367168\"] \n  12 -> 14 [size =\"31367168\"]\n  13 [size=\"30068736\", alpha=\"0.04\", expect_size=\"15034368\"] \n  13 -> 14 [size =\"15034368\"]\n  14 [size=\"96741376\", alpha=\"0.01\", expect_size=\"48370688\"] \n  14 -> 19 [size =\"48370688\"]\n  15 [size=\"66746368\", alpha=\"0.18\", expect_size=\"33373184\"] \n  15 -> 18 [size =\"33373184\"]\n  15 -> 21 [size =\"33373184\"]\n  16 [size=\"52301824\", alpha=\"0.14\", expect_size=\"26150912\"] \n  16 -> 19 [size =\"26150912\"]\n  16 -> 20 [size =\"26150912\"]\n  16 -> 21 [size =\"26150912\"]\n  17 [size=\"53475328\", alpha=\"0.11\", expect_size=\"26737664\"] \n  18 [size=\"28502016\", alpha=\"0.03\", expect_size=\"14251008\"] \n  18 -> 22 [size =\"14251008\"]\n  18 -> 23 [size =\"14251008\"]\n  18 -> 26 [size =\"14251008\"]\n  19 [size=\"93407232\", alpha=\"0.01\", expect_size=\"46703616\"] \n  19 -> 26 [size =\"46703616\"]\n  20 [size=\"76627968\", alpha=\"0.18\", expect_size=\"38313984\"] \n  20 -> 22 [size =\"38313984\"]\n  20 -> 24 [size =\"38313984\"]\n  20 -> 25 [size =\"38313984\"]\n  21 [size=\"33617920\", alpha=\"0.04\", expect_size=\"16808960\"] \n  21 -> 23 [size =\"16808960\"]\n  22 [size=\"55089152\", alpha=\"0.13\", expect_size=\"27544576\"] \n  22 -> 27 [size =\"27544576\"]\n  22 -> 28 [size =\"27544576\"]\n  22 -> 30 [size =\"27544576\"]\n  23 [size=\"71245824\", alpha=\"0.17\", expect_size=\"35622912\"] \n  23 -> 29 [size =\"35622912\"]\n  23 -> 30 [size =\"35622912\"]\n  23 -> 30 [size =\"35622912\"]\n  24 [size=\"90462208\", alpha=\"0.14\", expect_size=\"45231104\"] \n  24 -> 28 [size =\"45231104\"]\n  24 -> 29 [size =\"45231104\"]\n  25 [size=\"97331200\", alpha=\"0.03\", expect_size=\"48665600\"] \n  25 -> 27 [size =\"48665600\"]\n  25 -> 29 [size =\"48665600\"]\n  26 [size=\"88395776\", alpha=\"0.10\", expect_size=\"44197888\"] \n  27 [size=\"60012544\", alpha=\"0.03\", expect_size=\"30006272\"] \n  28 [size=\"19357696\", alpha=\"0.19\", expect_size=\"9678848\"] \n  29 [size=\"35350528\", alpha=\"0.10\", expect_size=\"17675264\"] \n  30 [size=\"39450624\", alpha=\"0.17\", expect_size=\"19725312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54859776\", alpha=\"0.05\", expect_size=\"27429888\"] \n  1 -> 4 [size =\"27429888\"]\n  2 [size=\"60323840\", alpha=\"0.16\", expect_size=\"30161920\"] \n  2 -> 3 [size =\"30161920\"]\n  2 -> 4 [size =\"30161920\"]\n  3 [size=\"84113408\", alpha=\"0.07\", expect_size=\"42056704\"] \n  3 -> 6 [size =\"42056704\"]\n  4 [size=\"78170112\", alpha=\"0.02\", expect_size=\"39085056\"] \n  4 -> 5 [size =\"39085056\"]\n  5 [size=\"40251392\", alpha=\"0.06\", expect_size=\"20125696\"] \n  6 [size=\"28284928\", alpha=\"0.06\", expect_size=\"14142464\"] \n  6 -> 7 [size =\"14142464\"]\n  7 [size=\"27441152\", alpha=\"0.09\", expect_size=\"13720576\"] \n  7 -> 8 [size =\"13720576\"]\n  7 -> 9 [size =\"13720576\"]\n  8 [size=\"91025408\", alpha=\"0.08\", expect_size=\"45512704\"] \n  8 -> 10 [size =\"45512704\"]\n  9 [size=\"79587328\", alpha=\"0.11\", expect_size=\"39793664\"] \n  10 [size=\"78639104\", alpha=\"0.12\", expect_size=\"39319552\"] \n  10 -> 11 [size =\"39319552\"]\n  11 [size=\"23025664\", alpha=\"0.11\", expect_size=\"11512832\"] \n  11 -> 12 [size =\"11512832\"]\n  11 -> 13 [size =\"11512832\"]\n  12 [size=\"47742976\", alpha=\"0.20\", expect_size=\"23871488\"] \n  12 -> 14 [size =\"23871488\"]\n  13 [size=\"28489728\", alpha=\"0.02\", expect_size=\"14244864\"] \n  14 [size=\"61773824\", alpha=\"0.10\", expect_size=\"30886912\"] \n  14 -> 15 [size =\"30886912\"]\n  15 [size=\"71782400\", alpha=\"0.13\", expect_size=\"35891200\"] \n  15 -> 16 [size =\"35891200\"]\n  15 -> 17 [size =\"35891200\"]\n  16 [size=\"100216832\", alpha=\"0.19\", expect_size=\"50108416\"] \n  16 -> 18 [size =\"50108416\"]\n  17 [size=\"34629632\", alpha=\"0.11\", expect_size=\"17314816\"] \n  18 [size=\"78340096\", alpha=\"0.08\", expect_size=\"39170048\"] \n  18 -> 19 [size =\"39170048\"]\n  18 -> 20 [size =\"39170048\"]\n  19 [size=\"23046144\", alpha=\"0.05\", expect_size=\"11523072\"] \n  19 -> 21 [size =\"11523072\"]\n  19 -> 22 [size =\"11523072\"]\n  20 [size=\"73351168\", alpha=\"0.00\", expect_size=\"36675584\"] \n  20 -> 22 [size =\"36675584\"]\n  21 [size=\"34994176\", alpha=\"0.05\", expect_size=\"17497088\"] \n  21 -> 23 [size =\"17497088\"]\n  22 [size=\"85889024\", alpha=\"0.20\", expect_size=\"42944512\"] \n  23 [size=\"85827584\", alpha=\"0.11\", expect_size=\"42913792\"] \n  23 -> 24 [size =\"42913792\"]\n  24 [size=\"96399360\", alpha=\"0.16\", expect_size=\"48199680\"] \n  24 -> 25 [size =\"48199680\"]\n  24 -> 26 [size =\"48199680\"]\n  25 [size=\"50673664\", alpha=\"0.07\", expect_size=\"25336832\"] \n  25 -> 27 [size =\"25336832\"]\n  25 -> 28 [size =\"25336832\"]\n  26 [size=\"18169856\", alpha=\"0.02\", expect_size=\"9084928\"] \n  26 -> 27 [size =\"9084928\"]\n  26 -> 28 [size =\"9084928\"]\n  27 [size=\"14002176\", alpha=\"0.01\", expect_size=\"7001088\"] \n  27 -> 29 [size =\"7001088\"]\n  28 [size=\"65558528\", alpha=\"0.16\", expect_size=\"32779264\"] \n  28 -> 29 [size =\"32779264\"]\n  29 [size=\"103266304\", alpha=\"0.07\", expect_size=\"51633152\"] \n  29 -> 30 [size =\"51633152\"]\n  30 [size=\"33720320\", alpha=\"0.12\", expect_size=\"16860160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41635840\", alpha=\"0.11\", expect_size=\"16654336\"] \n  1 -> 2 [size =\"16654336\"]\n  1 -> 3 [size =\"16654336\"]\n  2 [size=\"92938240\", alpha=\"0.19\", expect_size=\"37175296\"] \n  2 -> 4 [size =\"37175296\"]\n  3 [size=\"103457280\", alpha=\"0.00\", expect_size=\"41382912\"] \n  3 -> 4 [size =\"41382912\"]\n  4 [size=\"78177280\", alpha=\"0.13\", expect_size=\"31270912\"] \n  4 -> 5 [size =\"31270912\"]\n  5 [size=\"16017920\", alpha=\"0.20\", expect_size=\"6407168\"] \n  5 -> 6 [size =\"6407168\"]\n  6 [size=\"56015360\", alpha=\"0.12\", expect_size=\"22406144\"] \n  6 -> 7 [size =\"22406144\"]\n  6 -> 8 [size =\"22406144\"]\n  7 [size=\"24166400\", alpha=\"0.00\", expect_size=\"9666560\"] \n  7 -> 10 [size =\"9666560\"]\n  8 [size=\"122378240\", alpha=\"0.12\", expect_size=\"48951296\"] \n  8 -> 9 [size =\"48951296\"]\n  9 [size=\"94008320\", alpha=\"0.12\", expect_size=\"37603328\"] \n  10 [size=\"40368640\", alpha=\"0.10\", expect_size=\"16147456\"] \n  10 -> 11 [size =\"16147456\"]\n  11 [size=\"35100160\", alpha=\"0.03\", expect_size=\"14040064\"] \n  11 -> 12 [size =\"14040064\"]\n  12 [size=\"101642240\", alpha=\"0.18\", expect_size=\"40656896\"] \n  12 -> 13 [size =\"40656896\"]\n  12 -> 14 [size =\"40656896\"]\n  13 [size=\"93486080\", alpha=\"0.13\", expect_size=\"37394432\"] \n  13 -> 15 [size =\"37394432\"]\n  13 -> 16 [size =\"37394432\"]\n  14 [size=\"95511040\", alpha=\"0.20\", expect_size=\"38204416\"] \n  15 [size=\"54366720\", alpha=\"0.05\", expect_size=\"21746688\"] \n  15 -> 17 [size =\"21746688\"]\n  15 -> 18 [size =\"21746688\"]\n  16 [size=\"53849600\", alpha=\"0.16\", expect_size=\"21539840\"] \n  16 -> 17 [size =\"21539840\"]\n  17 [size=\"124659200\", alpha=\"0.08\", expect_size=\"49863680\"] \n  17 -> 19 [size =\"49863680\"]\n  17 -> 20 [size =\"49863680\"]\n  18 [size=\"125214720\", alpha=\"0.14\", expect_size=\"50085888\"] \n  18 -> 19 [size =\"50085888\"]\n  19 [size=\"77447680\", alpha=\"0.20\", expect_size=\"30979072\"] \n  19 -> 21 [size =\"30979072\"]\n  19 -> 22 [size =\"30979072\"]\n  20 [size=\"29437440\", alpha=\"0.13\", expect_size=\"11774976\"] \n  20 -> 21 [size =\"11774976\"]\n  21 [size=\"90577920\", alpha=\"0.11\", expect_size=\"36231168\"] \n  21 -> 23 [size =\"36231168\"]\n  22 [size=\"107015680\", alpha=\"0.02\", expect_size=\"42806272\"] \n  22 -> 24 [size =\"42806272\"]\n  23 [size=\"97216000\", alpha=\"0.09\", expect_size=\"38886400\"] \n  23 -> 26 [size =\"38886400\"]\n  24 [size=\"53009920\", alpha=\"0.07\", expect_size=\"21203968\"] \n  24 -> 25 [size =\"21203968\"]\n  25 [size=\"50698240\", alpha=\"0.05\", expect_size=\"20279296\"] \n  25 -> 27 [size =\"20279296\"]\n  26 [size=\"81602560\", alpha=\"0.11\", expect_size=\"32641024\"] \n  26 -> 27 [size =\"32641024\"]\n  27 [size=\"56514560\", alpha=\"0.18\", expect_size=\"22605824\"] \n  27 -> 28 [size =\"22605824\"]\n  27 -> 29 [size =\"22605824\"]\n  28 [size=\"103339520\", alpha=\"0.04\", expect_size=\"41335808\"] \n  28 -> 30 [size =\"41335808\"]\n  29 [size=\"68323840\", alpha=\"0.04\", expect_size=\"27329536\"] \n  29 -> 30 [size =\"27329536\"]\n  30 [size=\"67916800\", alpha=\"0.08\", expect_size=\"27166720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87941120\", alpha=\"0.00\", expect_size=\"26382336\"] \n  1 -> 6 [size =\"26382336\"]\n  2 [size=\"174277973\", alpha=\"0.18\", expect_size=\"52283392\"] \n  2 -> 6 [size =\"52283392\"]\n  3 [size=\"104932693\", alpha=\"0.09\", expect_size=\"31479808\"] \n  3 -> 6 [size =\"31479808\"]\n  3 -> 8 [size =\"31479808\"]\n  4 [size=\"168021333\", alpha=\"0.09\", expect_size=\"50406400\"] \n  4 -> 7 [size =\"50406400\"]\n  4 -> 9 [size =\"50406400\"]\n  4 -> 10 [size =\"50406400\"]\n  4 -> 11 [size =\"50406400\"]\n  5 [size=\"148456107\", alpha=\"0.05\", expect_size=\"44536832\"] \n  5 -> 7 [size =\"44536832\"]\n  5 -> 10 [size =\"44536832\"]\n  5 -> 11 [size =\"44536832\"]\n  6 [size=\"121531733\", alpha=\"0.10\", expect_size=\"36459520\"] \n  6 -> 17 [size =\"36459520\"]\n  6 -> 18 [size =\"36459520\"]\n  7 [size=\"155368107\", alpha=\"0.02\", expect_size=\"46610432\"] \n  8 [size=\"79117653\", alpha=\"0.09\", expect_size=\"23735296\"] \n  8 -> 14 [size =\"23735296\"]\n  9 [size=\"153292800\", alpha=\"0.04\", expect_size=\"45987840\"] \n  9 -> 14 [size =\"45987840\"]\n  9 -> 15 [size =\"45987840\"]\n  9 -> 16 [size =\"45987840\"]\n  10 [size=\"144704853\", alpha=\"0.16\", expect_size=\"43411456\"] \n  10 -> 12 [size =\"43411456\"]\n  10 -> 16 [size =\"43411456\"]\n  10 -> 17 [size =\"43411456\"]\n  10 -> 18 [size =\"43411456\"]\n  11 [size=\"72536747\", alpha=\"0.20\", expect_size=\"21761024\"] \n  11 -> 13 [size =\"21761024\"]\n  12 [size=\"74004480\", alpha=\"0.04\", expect_size=\"22201344\"] \n  12 -> 19 [size =\"22201344\"]\n  12 -> 20 [size =\"22201344\"]\n  13 [size=\"59371520\", alpha=\"0.16\", expect_size=\"17811456\"] \n  13 -> 20 [size =\"17811456\"]\n  14 [size=\"133707093\", alpha=\"0.10\", expect_size=\"40112128\"] \n  15 [size=\"46219947\", alpha=\"0.01\", expect_size=\"13865984\"] \n  16 [size=\"86166187\", alpha=\"0.03\", expect_size=\"25849856\"] \n  16 -> 21 [size =\"25849856\"]\n  17 [size=\"165748053\", alpha=\"0.07\", expect_size=\"49724416\"] \n  17 -> 19 [size =\"49724416\"]\n  18 [size=\"26019840\", alpha=\"0.11\", expect_size=\"7805952\"] \n  18 -> 19 [size =\"7805952\"]\n  18 -> 22 [size =\"7805952\"]\n  19 [size=\"98976427\", alpha=\"0.10\", expect_size=\"29692928\"] \n  19 -> 25 [size =\"29692928\"]\n  20 [size=\"132509013\", alpha=\"0.17\", expect_size=\"39752704\"] \n  20 -> 23 [size =\"39752704\"]\n  20 -> 24 [size =\"39752704\"]\n  20 -> 26 [size =\"39752704\"]\n  20 -> 27 [size =\"39752704\"]\n  21 [size=\"104403627\", alpha=\"0.14\", expect_size=\"31321088\"] \n  21 -> 23 [size =\"31321088\"]\n  21 -> 24 [size =\"31321088\"]\n  21 -> 26 [size =\"31321088\"]\n  22 [size=\"103031467\", alpha=\"0.11\", expect_size=\"30909440\"] \n  22 -> 25 [size =\"30909440\"]\n  23 [size=\"134765227\", alpha=\"0.18\", expect_size=\"40429568\"] \n  23 -> 30 [size =\"40429568\"]\n  24 [size=\"101198507\", alpha=\"0.05\", expect_size=\"30359552\"] \n  24 -> 29 [size =\"30359552\"]\n  25 [size=\"22882987\", alpha=\"0.09\", expect_size=\"6864896\"] \n  25 -> 28 [size =\"6864896\"]\n  25 -> 30 [size =\"6864896\"]\n  26 [size=\"32242347\", alpha=\"0.06\", expect_size=\"9672704\"] \n  27 [size=\"53053440\", alpha=\"0.20\", expect_size=\"15916032\"] \n  28 [size=\"107400533\", alpha=\"0.02\", expect_size=\"32220160\"] \n  29 [size=\"39567360\", alpha=\"0.01\", expect_size=\"11870208\"] \n  30 [size=\"114920107\", alpha=\"0.17\", expect_size=\"34476032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36976640\", alpha=\"0.05\", expect_size=\"18488320\"] \n  1 -> 3 [size =\"18488320\"]\n  2 [size=\"43442176\", alpha=\"0.11\", expect_size=\"21721088\"] \n  2 -> 3 [size =\"21721088\"]\n  3 [size=\"85932032\", alpha=\"0.12\", expect_size=\"42966016\"] \n  3 -> 4 [size =\"42966016\"]\n  3 -> 5 [size =\"42966016\"]\n  4 [size=\"68612096\", alpha=\"0.14\", expect_size=\"34306048\"] \n  4 -> 7 [size =\"34306048\"]\n  5 [size=\"26638336\", alpha=\"0.03\", expect_size=\"13319168\"] \n  5 -> 6 [size =\"13319168\"]\n  5 -> 7 [size =\"13319168\"]\n  6 [size=\"72714240\", alpha=\"0.19\", expect_size=\"36357120\"] \n  6 -> 8 [size =\"36357120\"]\n  7 [size=\"37494784\", alpha=\"0.03\", expect_size=\"18747392\"] \n  8 [size=\"12806144\", alpha=\"0.17\", expect_size=\"6403072\"] \n  8 -> 9 [size =\"6403072\"]\n  9 [size=\"56672256\", alpha=\"0.19\", expect_size=\"28336128\"] \n  9 -> 10 [size =\"28336128\"]\n  10 [size=\"102242304\", alpha=\"0.07\", expect_size=\"51121152\"] \n  10 -> 11 [size =\"51121152\"]\n  10 -> 12 [size =\"51121152\"]\n  11 [size=\"93841408\", alpha=\"0.06\", expect_size=\"46920704\"] \n  11 -> 14 [size =\"46920704\"]\n  12 [size=\"24242176\", alpha=\"0.10\", expect_size=\"12121088\"] \n  12 -> 13 [size =\"12121088\"]\n  13 [size=\"75927552\", alpha=\"0.18\", expect_size=\"37963776\"] \n  13 -> 15 [size =\"37963776\"]\n  14 [size=\"39176192\", alpha=\"0.05\", expect_size=\"19588096\"] \n  14 -> 15 [size =\"19588096\"]\n  14 -> 16 [size =\"19588096\"]\n  15 [size=\"104185856\", alpha=\"0.04\", expect_size=\"52092928\"] \n  15 -> 17 [size =\"52092928\"]\n  16 [size=\"25690112\", alpha=\"0.06\", expect_size=\"12845056\"] \n  17 [size=\"19257344\", alpha=\"0.02\", expect_size=\"9628672\"] \n  17 -> 18 [size =\"9628672\"]\n  17 -> 19 [size =\"9628672\"]\n  18 [size=\"34859008\", alpha=\"0.05\", expect_size=\"17429504\"] \n  18 -> 20 [size =\"17429504\"]\n  19 [size=\"21493760\", alpha=\"0.05\", expect_size=\"10746880\"] \n  20 [size=\"16060416\", alpha=\"0.11\", expect_size=\"8030208\"] \n  20 -> 21 [size =\"8030208\"]\n  20 -> 22 [size =\"8030208\"]\n  21 [size=\"47181824\", alpha=\"0.02\", expect_size=\"23590912\"] \n  21 -> 23 [size =\"23590912\"]\n  22 [size=\"76957696\", alpha=\"0.19\", expect_size=\"38478848\"] \n  22 -> 23 [size =\"38478848\"]\n  23 [size=\"29394944\", alpha=\"0.13\", expect_size=\"14697472\"] \n  23 -> 24 [size =\"14697472\"]\n  23 -> 25 [size =\"14697472\"]\n  24 [size=\"21331968\", alpha=\"0.19\", expect_size=\"10665984\"] \n  24 -> 26 [size =\"10665984\"]\n  25 [size=\"43890688\", alpha=\"0.09\", expect_size=\"21945344\"] \n  25 -> 26 [size =\"21945344\"]\n  26 [size=\"61095936\", alpha=\"0.12\", expect_size=\"30547968\"] \n  26 -> 27 [size =\"30547968\"]\n  27 [size=\"89300992\", alpha=\"0.00\", expect_size=\"44650496\"] \n  27 -> 28 [size =\"44650496\"]\n  28 [size=\"97406976\", alpha=\"0.09\", expect_size=\"48703488\"] \n  28 -> 29 [size =\"48703488\"]\n  29 [size=\"25384960\", alpha=\"0.08\", expect_size=\"12692480\"] \n  29 -> 30 [size =\"12692480\"]\n  30 [size=\"50948096\", alpha=\"0.06\", expect_size=\"25474048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115008000\", alpha=\"0.03\", expect_size=\"46003200\"] \n  1 -> 2 [size =\"46003200\"]\n  2 [size=\"75402240\", alpha=\"0.10\", expect_size=\"30160896\"] \n  2 -> 3 [size =\"30160896\"]\n  3 [size=\"126661120\", alpha=\"0.18\", expect_size=\"50664448\"] \n  3 -> 4 [size =\"50664448\"]\n  4 [size=\"37427200\", alpha=\"0.03\", expect_size=\"14970880\"] \n  4 -> 5 [size =\"14970880\"]\n  5 [size=\"45608960\", alpha=\"0.09\", expect_size=\"18243584\"] \n  5 -> 6 [size =\"18243584\"]\n  6 [size=\"99504640\", alpha=\"0.18\", expect_size=\"39801856\"] \n  6 -> 7 [size =\"39801856\"]\n  7 [size=\"43146240\", alpha=\"0.13\", expect_size=\"17258496\"] \n  7 -> 8 [size =\"17258496\"]\n  8 [size=\"51279360\", alpha=\"0.11\", expect_size=\"20511744\"] \n  8 -> 9 [size =\"20511744\"]\n  9 [size=\"53734400\", alpha=\"0.04\", expect_size=\"21493760\"] \n  9 -> 10 [size =\"21493760\"]\n  10 [size=\"111142400\", alpha=\"0.16\", expect_size=\"44456960\"] \n  10 -> 11 [size =\"44456960\"]\n  11 [size=\"24040960\", alpha=\"0.01\", expect_size=\"9616384\"] \n  11 -> 12 [size =\"9616384\"]\n  12 [size=\"44180480\", alpha=\"0.11\", expect_size=\"17672192\"] \n  12 -> 13 [size =\"17672192\"]\n  13 [size=\"105937920\", alpha=\"0.19\", expect_size=\"42375168\"] \n  13 -> 14 [size =\"42375168\"]\n  14 [size=\"92190720\", alpha=\"0.14\", expect_size=\"36876288\"] \n  14 -> 15 [size =\"36876288\"]\n  15 [size=\"109076480\", alpha=\"0.03\", expect_size=\"43630592\"] \n  15 -> 16 [size =\"43630592\"]\n  16 [size=\"43975680\", alpha=\"0.17\", expect_size=\"17590272\"] \n  16 -> 17 [size =\"17590272\"]\n  17 [size=\"32783360\", alpha=\"0.04\", expect_size=\"13113344\"] \n  17 -> 18 [size =\"13113344\"]\n  18 [size=\"106782720\", alpha=\"0.09\", expect_size=\"42713088\"] \n  18 -> 19 [size =\"42713088\"]\n  19 [size=\"51517440\", alpha=\"0.01\", expect_size=\"20606976\"] \n  19 -> 20 [size =\"20606976\"]\n  20 [size=\"73384960\", alpha=\"0.16\", expect_size=\"29353984\"] \n  20 -> 21 [size =\"29353984\"]\n  21 [size=\"50483200\", alpha=\"0.09\", expect_size=\"20193280\"] \n  21 -> 22 [size =\"20193280\"]\n  22 [size=\"56555520\", alpha=\"0.12\", expect_size=\"22622208\"] \n  22 -> 23 [size =\"22622208\"]\n  23 [size=\"122483200\", alpha=\"0.14\", expect_size=\"48993280\"] \n  23 -> 24 [size =\"48993280\"]\n  24 [size=\"118348800\", alpha=\"0.01\", expect_size=\"47339520\"] \n  24 -> 25 [size =\"47339520\"]\n  25 [size=\"84687360\", alpha=\"0.13\", expect_size=\"33874944\"] \n  25 -> 26 [size =\"33874944\"]\n  26 [size=\"100677120\", alpha=\"0.20\", expect_size=\"40270848\"] \n  26 -> 27 [size =\"40270848\"]\n  27 [size=\"84679680\", alpha=\"0.12\", expect_size=\"33871872\"] \n  27 -> 28 [size =\"33871872\"]\n  28 [size=\"109944320\", alpha=\"0.10\", expect_size=\"43977728\"] \n  28 -> 29 [size =\"43977728\"]\n  29 [size=\"46428160\", alpha=\"0.15\", expect_size=\"18571264\"] \n  29 -> 30 [size =\"18571264\"]\n  30 [size=\"49702400\", alpha=\"0.17\", expect_size=\"19880960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52557824\", alpha=\"0.10\", expect_size=\"26278912\"] \n  1 -> 7 [size =\"26278912\"]\n  1 -> 8 [size =\"26278912\"]\n  1 -> 9 [size =\"26278912\"]\n  2 [size=\"36337664\", alpha=\"0.19\", expect_size=\"18168832\"] \n  2 -> 7 [size =\"18168832\"]\n  2 -> 10 [size =\"18168832\"]\n  3 [size=\"95733760\", alpha=\"0.14\", expect_size=\"47866880\"] \n  3 -> 7 [size =\"47866880\"]\n  3 -> 10 [size =\"47866880\"]\n  4 [size=\"40157184\", alpha=\"0.10\", expect_size=\"20078592\"] \n  4 -> 7 [size =\"20078592\"]\n  4 -> 8 [size =\"20078592\"]\n  4 -> 10 [size =\"20078592\"]\n  5 [size=\"61399040\", alpha=\"0.10\", expect_size=\"30699520\"] \n  6 [size=\"86249472\", alpha=\"0.15\", expect_size=\"43124736\"] \n  6 -> 7 [size =\"43124736\"]\n  7 [size=\"20365312\", alpha=\"0.12\", expect_size=\"10182656\"] \n  7 -> 11 [size =\"10182656\"]\n  7 -> 12 [size =\"10182656\"]\n  7 -> 14 [size =\"10182656\"]\n  8 [size=\"85694464\", alpha=\"0.12\", expect_size=\"42847232\"] \n  8 -> 11 [size =\"42847232\"]\n  8 -> 12 [size =\"42847232\"]\n  8 -> 13 [size =\"42847232\"]\n  8 -> 14 [size =\"42847232\"]\n  8 -> 15 [size =\"42847232\"]\n  9 [size=\"70672384\", alpha=\"0.07\", expect_size=\"35336192\"] \n  9 -> 12 [size =\"35336192\"]\n  9 -> 13 [size =\"35336192\"]\n  9 -> 14 [size =\"35336192\"]\n  9 -> 15 [size =\"35336192\"]\n  10 [size=\"61304832\", alpha=\"0.14\", expect_size=\"30652416\"] \n  10 -> 11 [size =\"30652416\"]\n  11 [size=\"72546304\", alpha=\"0.11\", expect_size=\"36273152\"] \n  11 -> 17 [size =\"36273152\"]\n  11 -> 18 [size =\"36273152\"]\n  11 -> 21 [size =\"36273152\"]\n  12 [size=\"26404864\", alpha=\"0.19\", expect_size=\"13202432\"] \n  12 -> 18 [size =\"13202432\"]\n  12 -> 19 [size =\"13202432\"]\n  13 [size=\"23701504\", alpha=\"0.08\", expect_size=\"11850752\"] \n  13 -> 16 [size =\"11850752\"]\n  13 -> 20 [size =\"11850752\"]\n  14 [size=\"92030976\", alpha=\"0.19\", expect_size=\"46015488\"] \n  14 -> 21 [size =\"46015488\"]\n  15 [size=\"45168640\", alpha=\"0.13\", expect_size=\"22584320\"] \n  15 -> 17 [size =\"22584320\"]\n  15 -> 18 [size =\"22584320\"]\n  15 -> 21 [size =\"22584320\"]\n  16 [size=\"92444672\", alpha=\"0.18\", expect_size=\"46222336\"] \n  16 -> 22 [size =\"46222336\"]\n  16 -> 23 [size =\"46222336\"]\n  17 [size=\"70873088\", alpha=\"0.16\", expect_size=\"35436544\"] \n  18 [size=\"31782912\", alpha=\"0.03\", expect_size=\"15891456\"] \n  18 -> 23 [size =\"15891456\"]\n  18 -> 25 [size =\"15891456\"]\n  19 [size=\"86978560\", alpha=\"0.15\", expect_size=\"43489280\"] \n  19 -> 23 [size =\"43489280\"]\n  19 -> 25 [size =\"43489280\"]\n  20 [size=\"25751552\", alpha=\"0.11\", expect_size=\"12875776\"] \n  20 -> 24 [size =\"12875776\"]\n  21 [size=\"94019584\", alpha=\"0.17\", expect_size=\"47009792\"] \n  22 [size=\"53719040\", alpha=\"0.08\", expect_size=\"26859520\"] \n  22 -> 26 [size =\"26859520\"]\n  22 -> 27 [size =\"26859520\"]\n  22 -> 28 [size =\"26859520\"]\n  22 -> 29 [size =\"26859520\"]\n  23 [size=\"49944576\", alpha=\"0.16\", expect_size=\"24972288\"] \n  23 -> 26 [size =\"24972288\"]\n  23 -> 27 [size =\"24972288\"]\n  23 -> 29 [size =\"24972288\"]\n  24 [size=\"87001088\", alpha=\"0.12\", expect_size=\"43500544\"] \n  25 [size=\"80809984\", alpha=\"0.18\", expect_size=\"40404992\"] \n  25 -> 26 [size =\"40404992\"]\n  25 -> 27 [size =\"40404992\"]\n  25 -> 29 [size =\"40404992\"]\n  26 [size=\"46571520\", alpha=\"0.20\", expect_size=\"23285760\"] \n  27 [size=\"35928064\", alpha=\"0.04\", expect_size=\"17964032\"] \n  28 [size=\"14964736\", alpha=\"0.04\", expect_size=\"7482368\"] \n  28 -> 30 [size =\"7482368\"]\n  29 [size=\"29007872\", alpha=\"0.16\", expect_size=\"14503936\"] \n  29 -> 30 [size =\"14503936\"]\n  30 [size=\"99948544\", alpha=\"0.20\", expect_size=\"49974272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142987947\", alpha=\"0.01\", expect_size=\"42896384\"] \n  1 -> 2 [size =\"42896384\"]\n  2 [size=\"122296320\", alpha=\"0.02\", expect_size=\"36688896\"] \n  2 -> 3 [size =\"36688896\"]\n  3 [size=\"171048960\", alpha=\"0.13\", expect_size=\"51314688\"] \n  3 -> 4 [size =\"51314688\"]\n  4 [size=\"164113067\", alpha=\"0.19\", expect_size=\"49233920\"] \n  4 -> 5 [size =\"49233920\"]\n  5 [size=\"39103147\", alpha=\"0.18\", expect_size=\"11730944\"] \n  5 -> 6 [size =\"11730944\"]\n  6 [size=\"103427413\", alpha=\"0.02\", expect_size=\"31028224\"] \n  6 -> 7 [size =\"31028224\"]\n  7 [size=\"34512213\", alpha=\"0.19\", expect_size=\"10353664\"] \n  7 -> 8 [size =\"10353664\"]\n  8 [size=\"87538347\", alpha=\"0.03\", expect_size=\"26261504\"] \n  8 -> 9 [size =\"26261504\"]\n  9 [size=\"84302507\", alpha=\"0.13\", expect_size=\"25290752\"] \n  9 -> 10 [size =\"25290752\"]\n  10 [size=\"130600960\", alpha=\"0.03\", expect_size=\"39180288\"] \n  10 -> 11 [size =\"39180288\"]\n  11 [size=\"127303680\", alpha=\"0.13\", expect_size=\"38191104\"] \n  11 -> 12 [size =\"38191104\"]\n  12 [size=\"132423680\", alpha=\"0.14\", expect_size=\"39727104\"] \n  12 -> 13 [size =\"39727104\"]\n  13 [size=\"150063787\", alpha=\"0.01\", expect_size=\"45019136\"] \n  13 -> 14 [size =\"45019136\"]\n  14 [size=\"93614080\", alpha=\"0.02\", expect_size=\"28084224\"] \n  14 -> 15 [size =\"28084224\"]\n  15 [size=\"81916587\", alpha=\"0.19\", expect_size=\"24574976\"] \n  15 -> 16 [size =\"24574976\"]\n  16 [size=\"69703680\", alpha=\"0.18\", expect_size=\"20911104\"] \n  16 -> 17 [size =\"20911104\"]\n  17 [size=\"83514027\", alpha=\"0.05\", expect_size=\"25054208\"] \n  17 -> 18 [size =\"25054208\"]\n  18 [size=\"73499307\", alpha=\"0.13\", expect_size=\"22049792\"] \n  18 -> 19 [size =\"22049792\"]\n  19 [size=\"93528747\", alpha=\"0.16\", expect_size=\"28058624\"] \n  19 -> 20 [size =\"28058624\"]\n  20 [size=\"41591467\", alpha=\"0.08\", expect_size=\"12477440\"] \n  20 -> 21 [size =\"12477440\"]\n  21 [size=\"61583360\", alpha=\"0.16\", expect_size=\"18475008\"] \n  21 -> 22 [size =\"18475008\"]\n  22 [size=\"161829547\", alpha=\"0.18\", expect_size=\"48548864\"] \n  22 -> 23 [size =\"48548864\"]\n  23 [size=\"112015360\", alpha=\"0.19\", expect_size=\"33604608\"] \n  23 -> 24 [size =\"33604608\"]\n  24 [size=\"122112000\", alpha=\"0.18\", expect_size=\"36633600\"] \n  24 -> 25 [size =\"36633600\"]\n  25 [size=\"140745387\", alpha=\"0.01\", expect_size=\"42223616\"] \n  25 -> 26 [size =\"42223616\"]\n  26 [size=\"131072000\", alpha=\"0.14\", expect_size=\"39321600\"] \n  26 -> 27 [size =\"39321600\"]\n  27 [size=\"114169173\", alpha=\"0.09\", expect_size=\"34250752\"] \n  27 -> 28 [size =\"34250752\"]\n  28 [size=\"149664427\", alpha=\"0.14\", expect_size=\"44899328\"] \n  28 -> 29 [size =\"44899328\"]\n  29 [size=\"95559680\", alpha=\"0.07\", expect_size=\"28667904\"] \n  29 -> 30 [size =\"28667904\"]\n  30 [size=\"64546133\", alpha=\"0.14\", expect_size=\"19363840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64811008\", alpha=\"0.13\", expect_size=\"32405504\"] \n  1 -> 2 [size =\"32405504\"]\n  2 [size=\"66488320\", alpha=\"0.13\", expect_size=\"33244160\"] \n  2 -> 3 [size =\"33244160\"]\n  3 [size=\"42575872\", alpha=\"0.08\", expect_size=\"21287936\"] \n  3 -> 4 [size =\"21287936\"]\n  4 [size=\"15896576\", alpha=\"0.19\", expect_size=\"7948288\"] \n  4 -> 5 [size =\"7948288\"]\n  5 [size=\"34000896\", alpha=\"0.17\", expect_size=\"17000448\"] \n  5 -> 6 [size =\"17000448\"]\n  6 [size=\"21149696\", alpha=\"0.11\", expect_size=\"10574848\"] \n  6 -> 7 [size =\"10574848\"]\n  7 [size=\"50475008\", alpha=\"0.19\", expect_size=\"25237504\"] \n  7 -> 8 [size =\"25237504\"]\n  8 [size=\"74237952\", alpha=\"0.18\", expect_size=\"37118976\"] \n  8 -> 9 [size =\"37118976\"]\n  9 [size=\"42086400\", alpha=\"0.08\", expect_size=\"21043200\"] \n  9 -> 10 [size =\"21043200\"]\n  10 [size=\"24678400\", alpha=\"0.04\", expect_size=\"12339200\"] \n  10 -> 11 [size =\"12339200\"]\n  11 [size=\"48257024\", alpha=\"0.09\", expect_size=\"24128512\"] \n  11 -> 12 [size =\"24128512\"]\n  12 [size=\"15618048\", alpha=\"0.02\", expect_size=\"7809024\"] \n  12 -> 13 [size =\"7809024\"]\n  13 [size=\"78931968\", alpha=\"0.17\", expect_size=\"39465984\"] \n  13 -> 14 [size =\"39465984\"]\n  14 [size=\"23533568\", alpha=\"0.01\", expect_size=\"11766784\"] \n  14 -> 15 [size =\"11766784\"]\n  15 [size=\"17395712\", alpha=\"0.18\", expect_size=\"8697856\"] \n  15 -> 16 [size =\"8697856\"]\n  16 [size=\"98541568\", alpha=\"0.07\", expect_size=\"49270784\"] \n  16 -> 17 [size =\"49270784\"]\n  17 [size=\"57548800\", alpha=\"0.07\", expect_size=\"28774400\"] \n  17 -> 18 [size =\"28774400\"]\n  18 [size=\"51089408\", alpha=\"0.01\", expect_size=\"25544704\"] \n  18 -> 19 [size =\"25544704\"]\n  19 [size=\"40798208\", alpha=\"0.06\", expect_size=\"20399104\"] \n  19 -> 20 [size =\"20399104\"]\n  20 [size=\"80443392\", alpha=\"0.17\", expect_size=\"40221696\"] \n  20 -> 21 [size =\"40221696\"]\n  21 [size=\"100501504\", alpha=\"0.19\", expect_size=\"50250752\"] \n  21 -> 22 [size =\"50250752\"]\n  22 [size=\"47990784\", alpha=\"0.14\", expect_size=\"23995392\"] \n  22 -> 23 [size =\"23995392\"]\n  23 [size=\"57477120\", alpha=\"0.15\", expect_size=\"28738560\"] \n  23 -> 24 [size =\"28738560\"]\n  24 [size=\"42115072\", alpha=\"0.17\", expect_size=\"21057536\"] \n  24 -> 25 [size =\"21057536\"]\n  25 [size=\"48498688\", alpha=\"0.04\", expect_size=\"24249344\"] \n  25 -> 26 [size =\"24249344\"]\n  26 [size=\"38660096\", alpha=\"0.13\", expect_size=\"19330048\"] \n  26 -> 27 [size =\"19330048\"]\n  27 [size=\"69814272\", alpha=\"0.11\", expect_size=\"34907136\"] \n  27 -> 28 [size =\"34907136\"]\n  28 [size=\"100585472\", alpha=\"0.03\", expect_size=\"50292736\"] \n  28 -> 29 [size =\"50292736\"]\n  29 [size=\"11202560\", alpha=\"0.01\", expect_size=\"5601280\"] \n  29 -> 30 [size =\"5601280\"]\n  30 [size=\"41166848\", alpha=\"0.02\", expect_size=\"20583424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51858773\", alpha=\"0.18\", expect_size=\"15557632\"] \n  2 [size=\"138806613\", alpha=\"0.12\", expect_size=\"41641984\"] \n  2 -> 4 [size =\"41641984\"]\n  2 -> 5 [size =\"41641984\"]\n  3 [size=\"36205227\", alpha=\"0.01\", expect_size=\"10861568\"] \n  4 [size=\"34447360\", alpha=\"0.09\", expect_size=\"10334208\"] \n  4 -> 8 [size =\"10334208\"]\n  4 -> 9 [size =\"10334208\"]\n  4 -> 10 [size =\"10334208\"]\n  4 -> 11 [size =\"10334208\"]\n  5 [size=\"140161707\", alpha=\"0.15\", expect_size=\"42048512\"] \n  5 -> 6 [size =\"42048512\"]\n  5 -> 7 [size =\"42048512\"]\n  5 -> 9 [size =\"42048512\"]\n  6 [size=\"29863253\", alpha=\"0.04\", expect_size=\"8958976\"] \n  6 -> 14 [size =\"8958976\"]\n  6 -> 14 [size =\"8958976\"]\n  7 [size=\"130136747\", alpha=\"0.03\", expect_size=\"39041024\"] \n  7 -> 12 [size =\"39041024\"]\n  8 [size=\"20736000\", alpha=\"0.07\", expect_size=\"6220800\"] \n  8 -> 12 [size =\"6220800\"]\n  9 [size=\"34075307\", alpha=\"0.12\", expect_size=\"10222592\"] \n  10 [size=\"125904213\", alpha=\"0.03\", expect_size=\"37771264\"] \n  10 -> 13 [size =\"37771264\"]\n  11 [size=\"173028693\", alpha=\"0.16\", expect_size=\"51908608\"] \n  11 -> 12 [size =\"51908608\"]\n  11 -> 14 [size =\"51908608\"]\n  12 [size=\"154248533\", alpha=\"0.00\", expect_size=\"46274560\"] \n  12 -> 17 [size =\"46274560\"]\n  13 [size=\"90217813\", alpha=\"0.10\", expect_size=\"27065344\"] \n  13 -> 15 [size =\"27065344\"]\n  13 -> 17 [size =\"27065344\"]\n  13 -> 18 [size =\"27065344\"]\n  13 -> 19 [size =\"27065344\"]\n  14 [size=\"99887787\", alpha=\"0.09\", expect_size=\"29966336\"] \n  14 -> 15 [size =\"29966336\"]\n  14 -> 16 [size =\"29966336\"]\n  14 -> 18 [size =\"29966336\"]\n  14 -> 19 [size =\"29966336\"]\n  15 [size=\"170106880\", alpha=\"0.12\", expect_size=\"51032064\"] \n  15 -> 21 [size =\"51032064\"]\n  15 -> 22 [size =\"51032064\"]\n  16 [size=\"127976107\", alpha=\"0.07\", expect_size=\"38392832\"] \n  16 -> 23 [size =\"38392832\"]\n  17 [size=\"158078293\", alpha=\"0.05\", expect_size=\"47423488\"] \n  17 -> 20 [size =\"47423488\"]\n  17 -> 23 [size =\"47423488\"]\n  18 [size=\"24432640\", alpha=\"0.16\", expect_size=\"7329792\"] \n  18 -> 21 [size =\"7329792\"]\n  19 [size=\"79028907\", alpha=\"0.03\", expect_size=\"23708672\"] \n  19 -> 20 [size =\"23708672\"]\n  19 -> 21 [size =\"23708672\"]\n  19 -> 24 [size =\"23708672\"]\n  20 [size=\"171465387\", alpha=\"0.02\", expect_size=\"51439616\"] \n  20 -> 25 [size =\"51439616\"]\n  20 -> 26 [size =\"51439616\"]\n  21 [size=\"40181760\", alpha=\"0.05\", expect_size=\"12054528\"] \n  21 -> 29 [size =\"12054528\"]\n  22 [size=\"163952640\", alpha=\"0.04\", expect_size=\"49185792\"] \n  22 -> 29 [size =\"49185792\"]\n  23 [size=\"165809493\", alpha=\"0.05\", expect_size=\"49742848\"] \n  23 -> 26 [size =\"49742848\"]\n  23 -> 27 [size =\"49742848\"]\n  23 -> 28 [size =\"49742848\"]\n  24 [size=\"86702080\", alpha=\"0.08\", expect_size=\"26010624\"] \n  24 -> 25 [size =\"26010624\"]\n  24 -> 27 [size =\"26010624\"]\n  25 [size=\"160095573\", alpha=\"0.07\", expect_size=\"48028672\"] \n  26 [size=\"97682773\", alpha=\"0.08\", expect_size=\"29304832\"] \n  26 -> 30 [size =\"29304832\"]\n  27 [size=\"150603093\", alpha=\"0.03\", expect_size=\"45180928\"] \n  28 [size=\"32003413\", alpha=\"0.18\", expect_size=\"9601024\"] \n  28 -> 30 [size =\"9601024\"]\n  29 [size=\"159242240\", alpha=\"0.15\", expect_size=\"47772672\"] \n  29 -> 30 [size =\"47772672\"]\n  30 [size=\"22845440\", alpha=\"0.07\", expect_size=\"6853632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80143360\", alpha=\"0.00\", expect_size=\"32057344\"] \n  1 -> 2 [size =\"32057344\"]\n  2 [size=\"77872640\", alpha=\"0.20\", expect_size=\"31149056\"] \n  2 -> 3 [size =\"31149056\"]\n  3 [size=\"49546240\", alpha=\"0.12\", expect_size=\"19818496\"] \n  3 -> 4 [size =\"19818496\"]\n  4 [size=\"58585600\", alpha=\"0.18\", expect_size=\"23434240\"] \n  4 -> 5 [size =\"23434240\"]\n  5 [size=\"63362560\", alpha=\"0.11\", expect_size=\"25345024\"] \n  5 -> 6 [size =\"25345024\"]\n  6 [size=\"111221760\", alpha=\"0.01\", expect_size=\"44488704\"] \n  6 -> 7 [size =\"44488704\"]\n  7 [size=\"64785920\", alpha=\"0.05\", expect_size=\"25914368\"] \n  7 -> 8 [size =\"25914368\"]\n  8 [size=\"123852800\", alpha=\"0.18\", expect_size=\"49541120\"] \n  8 -> 9 [size =\"49541120\"]\n  9 [size=\"93652480\", alpha=\"0.18\", expect_size=\"37460992\"] \n  9 -> 10 [size =\"37460992\"]\n  10 [size=\"121994240\", alpha=\"0.12\", expect_size=\"48797696\"] \n  10 -> 11 [size =\"48797696\"]\n  11 [size=\"20308480\", alpha=\"0.01\", expect_size=\"8123392\"] \n  11 -> 12 [size =\"8123392\"]\n  12 [size=\"23078400\", alpha=\"0.03\", expect_size=\"9231360\"] \n  12 -> 13 [size =\"9231360\"]\n  13 [size=\"20495360\", alpha=\"0.07\", expect_size=\"8198144\"] \n  13 -> 14 [size =\"8198144\"]\n  14 [size=\"91927040\", alpha=\"0.18\", expect_size=\"36770816\"] \n  14 -> 15 [size =\"36770816\"]\n  15 [size=\"82380800\", alpha=\"0.11\", expect_size=\"32952320\"] \n  15 -> 16 [size =\"32952320\"]\n  16 [size=\"27118080\", alpha=\"0.05\", expect_size=\"10847232\"] \n  16 -> 17 [size =\"10847232\"]\n  17 [size=\"35950080\", alpha=\"0.05\", expect_size=\"14380032\"] \n  17 -> 18 [size =\"14380032\"]\n  18 [size=\"67194880\", alpha=\"0.09\", expect_size=\"26877952\"] \n  18 -> 19 [size =\"26877952\"]\n  19 [size=\"53383680\", alpha=\"0.18\", expect_size=\"21353472\"] \n  19 -> 20 [size =\"21353472\"]\n  20 [size=\"42759680\", alpha=\"0.14\", expect_size=\"17103872\"] \n  20 -> 21 [size =\"17103872\"]\n  21 [size=\"111598080\", alpha=\"0.01\", expect_size=\"44639232\"] \n  21 -> 22 [size =\"44639232\"]\n  22 [size=\"115527680\", alpha=\"0.20\", expect_size=\"46211072\"] \n  22 -> 23 [size =\"46211072\"]\n  23 [size=\"17216000\", alpha=\"0.04\", expect_size=\"6886400\"] \n  23 -> 24 [size =\"6886400\"]\n  24 [size=\"60416000\", alpha=\"0.17\", expect_size=\"24166400\"] \n  24 -> 25 [size =\"24166400\"]\n  25 [size=\"50926080\", alpha=\"0.17\", expect_size=\"20370432\"] \n  25 -> 26 [size =\"20370432\"]\n  26 [size=\"116346880\", alpha=\"0.15\", expect_size=\"46538752\"] \n  26 -> 27 [size =\"46538752\"]\n  27 [size=\"28902400\", alpha=\"0.01\", expect_size=\"11560960\"] \n  27 -> 28 [size =\"11560960\"]\n  28 [size=\"58094080\", alpha=\"0.06\", expect_size=\"23237632\"] \n  28 -> 29 [size =\"23237632\"]\n  29 [size=\"112901120\", alpha=\"0.05\", expect_size=\"45160448\"] \n  29 -> 30 [size =\"45160448\"]\n  30 [size=\"99281920\", alpha=\"0.02\", expect_size=\"39712768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96509440\", alpha=\"0.00\", expect_size=\"38603776\"] \n  1 -> 8 [size =\"38603776\"]\n  2 [size=\"109836800\", alpha=\"0.07\", expect_size=\"43934720\"] \n  2 -> 5 [size =\"43934720\"]\n  3 [size=\"36825600\", alpha=\"0.09\", expect_size=\"14730240\"] \n  3 -> 5 [size =\"14730240\"]\n  3 -> 6 [size =\"14730240\"]\n  3 -> 7 [size =\"14730240\"]\n  4 [size=\"58954240\", alpha=\"0.13\", expect_size=\"23581696\"] \n  4 -> 7 [size =\"23581696\"]\n  5 [size=\"130155520\", alpha=\"0.16\", expect_size=\"52062208\"] \n  5 -> 10 [size =\"52062208\"]\n  5 -> 11 [size =\"52062208\"]\n  5 -> 12 [size =\"52062208\"]\n  6 [size=\"130831360\", alpha=\"0.03\", expect_size=\"52332544\"] \n  7 [size=\"125726720\", alpha=\"0.05\", expect_size=\"50290688\"] \n  7 -> 9 [size =\"50290688\"]\n  7 -> 10 [size =\"50290688\"]\n  7 -> 11 [size =\"50290688\"]\n  7 -> 13 [size =\"50290688\"]\n  8 [size=\"51031040\", alpha=\"0.05\", expect_size=\"20412416\"] \n  8 -> 13 [size =\"20412416\"]\n  9 [size=\"108275200\", alpha=\"0.17\", expect_size=\"43310080\"] \n  9 -> 17 [size =\"43310080\"]\n  10 [size=\"27417600\", alpha=\"0.00\", expect_size=\"10967040\"] \n  10 -> 14 [size =\"10967040\"]\n  10 -> 15 [size =\"10967040\"]\n  10 -> 16 [size =\"10967040\"]\n  11 [size=\"119109120\", alpha=\"0.14\", expect_size=\"47643648\"] \n  11 -> 14 [size =\"47643648\"]\n  12 [size=\"120263680\", alpha=\"0.01\", expect_size=\"48105472\"] \n  12 -> 15 [size =\"48105472\"]\n  12 -> 17 [size =\"48105472\"]\n  13 [size=\"45752320\", alpha=\"0.08\", expect_size=\"18300928\"] \n  14 [size=\"101102080\", alpha=\"0.11\", expect_size=\"40440832\"] \n  14 -> 19 [size =\"40440832\"]\n  14 -> 21 [size =\"40440832\"]\n  15 [size=\"59607040\", alpha=\"0.13\", expect_size=\"23842816\"] \n  16 [size=\"37140480\", alpha=\"0.12\", expect_size=\"14856192\"] \n  16 -> 21 [size =\"14856192\"]\n  17 [size=\"52413440\", alpha=\"0.15\", expect_size=\"20965376\"] \n  17 -> 18 [size =\"20965376\"]\n  17 -> 20 [size =\"20965376\"]\n  18 [size=\"80238080\", alpha=\"0.19\", expect_size=\"32095232\"] \n  19 [size=\"110200320\", alpha=\"0.08\", expect_size=\"44080128\"] \n  19 -> 22 [size =\"44080128\"]\n  19 -> 23 [size =\"44080128\"]\n  20 [size=\"90278400\", alpha=\"0.03\", expect_size=\"36111360\"] \n  20 -> 22 [size =\"36111360\"]\n  20 -> 25 [size =\"36111360\"]\n  21 [size=\"92884480\", alpha=\"0.12\", expect_size=\"37153792\"] \n  21 -> 23 [size =\"37153792\"]\n  21 -> 24 [size =\"37153792\"]\n  22 [size=\"57167360\", alpha=\"0.17\", expect_size=\"22866944\"] \n  22 -> 26 [size =\"22866944\"]\n  22 -> 29 [size =\"22866944\"]\n  22 -> 30 [size =\"22866944\"]\n  23 [size=\"62689280\", alpha=\"0.07\", expect_size=\"25075712\"] \n  23 -> 28 [size =\"25075712\"]\n  23 -> 30 [size =\"25075712\"]\n  24 [size=\"112040960\", alpha=\"0.04\", expect_size=\"44816384\"] \n  24 -> 26 [size =\"44816384\"]\n  24 -> 27 [size =\"44816384\"]\n  25 [size=\"56924160\", alpha=\"0.01\", expect_size=\"22769664\"] \n  26 [size=\"16110080\", alpha=\"0.18\", expect_size=\"6444032\"] \n  27 [size=\"88268800\", alpha=\"0.14\", expect_size=\"35307520\"] \n  28 [size=\"57331200\", alpha=\"0.17\", expect_size=\"22932480\"] \n  29 [size=\"53025280\", alpha=\"0.15\", expect_size=\"21210112\"] \n  30 [size=\"99453440\", alpha=\"0.16\", expect_size=\"39781376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19780267\", alpha=\"0.08\", expect_size=\"5934080\"] \n  1 -> 2 [size =\"5934080\"]\n  2 [size=\"49312427\", alpha=\"0.02\", expect_size=\"14793728\"] \n  2 -> 3 [size =\"14793728\"]\n  3 [size=\"71154347\", alpha=\"0.08\", expect_size=\"21346304\"] \n  3 -> 4 [size =\"21346304\"]\n  4 [size=\"117302613\", alpha=\"0.05\", expect_size=\"35190784\"] \n  4 -> 5 [size =\"35190784\"]\n  5 [size=\"67256320\", alpha=\"0.11\", expect_size=\"20176896\"] \n  5 -> 6 [size =\"20176896\"]\n  6 [size=\"45953707\", alpha=\"0.16\", expect_size=\"13786112\"] \n  6 -> 7 [size =\"13786112\"]\n  7 [size=\"148862293\", alpha=\"0.13\", expect_size=\"44658688\"] \n  7 -> 8 [size =\"44658688\"]\n  8 [size=\"35471360\", alpha=\"0.01\", expect_size=\"10641408\"] \n  8 -> 9 [size =\"10641408\"]\n  9 [size=\"69297493\", alpha=\"0.20\", expect_size=\"20789248\"] \n  9 -> 10 [size =\"20789248\"]\n  10 [size=\"79226880\", alpha=\"0.10\", expect_size=\"23768064\"] \n  10 -> 11 [size =\"23768064\"]\n  11 [size=\"59364693\", alpha=\"0.15\", expect_size=\"17809408\"] \n  11 -> 12 [size =\"17809408\"]\n  12 [size=\"123446613\", alpha=\"0.09\", expect_size=\"37033984\"] \n  12 -> 13 [size =\"37033984\"]\n  13 [size=\"138113707\", alpha=\"0.02\", expect_size=\"41434112\"] \n  13 -> 14 [size =\"41434112\"]\n  14 [size=\"42936320\", alpha=\"0.00\", expect_size=\"12880896\"] \n  14 -> 15 [size =\"12880896\"]\n  15 [size=\"80575147\", alpha=\"0.11\", expect_size=\"24172544\"] \n  15 -> 16 [size =\"24172544\"]\n  16 [size=\"167171413\", alpha=\"0.11\", expect_size=\"50151424\"] \n  16 -> 17 [size =\"50151424\"]\n  17 [size=\"137362773\", alpha=\"0.11\", expect_size=\"41208832\"] \n  17 -> 18 [size =\"41208832\"]\n  18 [size=\"80151893\", alpha=\"0.20\", expect_size=\"24045568\"] \n  18 -> 19 [size =\"24045568\"]\n  19 [size=\"88309760\", alpha=\"0.01\", expect_size=\"26492928\"] \n  19 -> 20 [size =\"26492928\"]\n  20 [size=\"85166080\", alpha=\"0.15\", expect_size=\"25549824\"] \n  20 -> 21 [size =\"25549824\"]\n  21 [size=\"164543147\", alpha=\"0.09\", expect_size=\"49362944\"] \n  21 -> 22 [size =\"49362944\"]\n  22 [size=\"122944853\", alpha=\"0.08\", expect_size=\"36883456\"] \n  22 -> 23 [size =\"36883456\"]\n  23 [size=\"32686080\", alpha=\"0.13\", expect_size=\"9805824\"] \n  23 -> 24 [size =\"9805824\"]\n  24 [size=\"51923627\", alpha=\"0.11\", expect_size=\"15577088\"] \n  24 -> 25 [size =\"15577088\"]\n  25 [size=\"52729173\", alpha=\"0.15\", expect_size=\"15818752\"] \n  25 -> 26 [size =\"15818752\"]\n  26 [size=\"142100480\", alpha=\"0.03\", expect_size=\"42630144\"] \n  26 -> 27 [size =\"42630144\"]\n  27 [size=\"68328107\", alpha=\"0.08\", expect_size=\"20498432\"] \n  27 -> 28 [size =\"20498432\"]\n  28 [size=\"153593173\", alpha=\"0.15\", expect_size=\"46077952\"] \n  28 -> 29 [size =\"46077952\"]\n  29 [size=\"151681707\", alpha=\"0.08\", expect_size=\"45504512\"] \n  29 -> 30 [size =\"45504512\"]\n  30 [size=\"158324053\", alpha=\"0.10\", expect_size=\"47497216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110878720\", alpha=\"0.01\", expect_size=\"33263616\"] \n  1 -> 10 [size =\"33263616\"]\n  1 -> 17 [size =\"33263616\"]\n  1 -> 17 [size =\"33263616\"]\n  1 -> 18 [size =\"33263616\"]\n  1 -> 21 [size =\"33263616\"]\n  2 [size=\"130713600\", alpha=\"0.08\", expect_size=\"39214080\"] \n  2 -> 10 [size =\"39214080\"]\n  2 -> 11 [size =\"39214080\"]\n  2 -> 13 [size =\"39214080\"]\n  2 -> 15 [size =\"39214080\"]\n  2 -> 16 [size =\"39214080\"]\n  2 -> 17 [size =\"39214080\"]\n  2 -> 18 [size =\"39214080\"]\n  2 -> 21 [size =\"39214080\"]\n  3 [size=\"72014507\", alpha=\"0.10\", expect_size=\"21604352\"] \n  3 -> 10 [size =\"21604352\"]\n  3 -> 11 [size =\"21604352\"]\n  3 -> 13 [size =\"21604352\"]\n  3 -> 16 [size =\"21604352\"]\n  3 -> 17 [size =\"21604352\"]\n  4 [size=\"170280960\", alpha=\"0.17\", expect_size=\"51084288\"] \n  4 -> 10 [size =\"51084288\"]\n  4 -> 11 [size =\"51084288\"]\n  4 -> 13 [size =\"51084288\"]\n  4 -> 15 [size =\"51084288\"]\n  4 -> 16 [size =\"51084288\"]\n  4 -> 21 [size =\"51084288\"]\n  5 [size=\"65481387\", alpha=\"0.13\", expect_size=\"19644416\"] \n  5 -> 10 [size =\"19644416\"]\n  5 -> 14 [size =\"19644416\"]\n  5 -> 15 [size =\"19644416\"]\n  6 [size=\"161890987\", alpha=\"0.08\", expect_size=\"48567296\"] \n  6 -> 16 [size =\"48567296\"]\n  6 -> 20 [size =\"48567296\"]\n  7 [size=\"21087573\", alpha=\"0.19\", expect_size=\"6326272\"] \n  7 -> 12 [size =\"6326272\"]\n  7 -> 14 [size =\"6326272\"]\n  7 -> 17 [size =\"6326272\"]\n  7 -> 20 [size =\"6326272\"]\n  7 -> 21 [size =\"6326272\"]\n  8 [size=\"24330240\", alpha=\"0.19\", expect_size=\"7299072\"] \n  8 -> 12 [size =\"7299072\"]\n  8 -> 15 [size =\"7299072\"]\n  8 -> 16 [size =\"7299072\"]\n  8 -> 18 [size =\"7299072\"]\n  8 -> 19 [size =\"7299072\"]\n  8 -> 20 [size =\"7299072\"]\n  8 -> 21 [size =\"7299072\"]\n  9 [size=\"19459413\", alpha=\"0.19\", expect_size=\"5837824\"] \n  9 -> 11 [size =\"5837824\"]\n  9 -> 16 [size =\"5837824\"]\n  9 -> 17 [size =\"5837824\"]\n  9 -> 18 [size =\"5837824\"]\n  10 [size=\"129392640\", alpha=\"0.17\", expect_size=\"38817792\"] \n  10 -> 24 [size =\"38817792\"]\n  10 -> 28 [size =\"38817792\"]\n  10 -> 29 [size =\"38817792\"]\n  10 -> 30 [size =\"38817792\"]\n  11 [size=\"95733760\", alpha=\"0.08\", expect_size=\"28720128\"] \n  11 -> 24 [size =\"28720128\"]\n  12 [size=\"107089920\", alpha=\"0.15\", expect_size=\"32126976\"] \n  12 -> 24 [size =\"32126976\"]\n  12 -> 26 [size =\"32126976\"]\n  13 [size=\"169154560\", alpha=\"0.12\", expect_size=\"50746368\"] \n  13 -> 22 [size =\"50746368\"]\n  13 -> 24 [size =\"50746368\"]\n  13 -> 27 [size =\"50746368\"]\n  13 -> 28 [size =\"50746368\"]\n  14 [size=\"89593173\", alpha=\"0.10\", expect_size=\"26877952\"] \n  14 -> 22 [size =\"26877952\"]\n  14 -> 23 [size =\"26877952\"]\n  14 -> 24 [size =\"26877952\"]\n  14 -> 25 [size =\"26877952\"]\n  14 -> 26 [size =\"26877952\"]\n  14 -> 27 [size =\"26877952\"]\n  14 -> 29 [size =\"26877952\"]\n  15 [size=\"63546027\", alpha=\"0.03\", expect_size=\"19063808\"] \n  15 -> 25 [size =\"19063808\"]\n  15 -> 29 [size =\"19063808\"]\n  16 [size=\"168482133\", alpha=\"0.15\", expect_size=\"50544640\"] \n  16 -> 24 [size =\"50544640\"]\n  16 -> 25 [size =\"50544640\"]\n  16 -> 26 [size =\"50544640\"]\n  16 -> 27 [size =\"50544640\"]\n  17 [size=\"74987520\", alpha=\"0.01\", expect_size=\"22496256\"] \n  17 -> 23 [size =\"22496256\"]\n  17 -> 25 [size =\"22496256\"]\n  17 -> 26 [size =\"22496256\"]\n  17 -> 27 [size =\"22496256\"]\n  17 -> 29 [size =\"22496256\"]\n  18 [size=\"64928427\", alpha=\"0.19\", expect_size=\"19478528\"] \n  18 -> 22 [size =\"19478528\"]\n  18 -> 23 [size =\"19478528\"]\n  18 -> 24 [size =\"19478528\"]\n  18 -> 25 [size =\"19478528\"]\n  18 -> 26 [size =\"19478528\"]\n  18 -> 29 [size =\"19478528\"]\n  19 [size=\"58303147\", alpha=\"0.13\", expect_size=\"17490944\"] \n  19 -> 22 [size =\"17490944\"]\n  19 -> 25 [size =\"17490944\"]\n  19 -> 27 [size =\"17490944\"]\n  19 -> 29 [size =\"17490944\"]\n  19 -> 30 [size =\"17490944\"]\n  20 [size=\"53978453\", alpha=\"0.15\", expect_size=\"16193536\"] \n  20 -> 22 [size =\"16193536\"]\n  20 -> 24 [size =\"16193536\"]\n  20 -> 25 [size =\"16193536\"]\n  20 -> 29 [size =\"16193536\"]\n  21 [size=\"26852693\", alpha=\"0.09\", expect_size=\"8055808\"] \n  21 -> 22 [size =\"8055808\"]\n  21 -> 23 [size =\"8055808\"]\n  21 -> 25 [size =\"8055808\"]\n  21 -> 27 [size =\"8055808\"]\n  21 -> 29 [size =\"8055808\"]\n  22 [size=\"85954560\", alpha=\"0.17\", expect_size=\"25786368\"] \n  23 [size=\"48325973\", alpha=\"0.12\", expect_size=\"14497792\"] \n  24 [size=\"145247573\", alpha=\"0.07\", expect_size=\"43574272\"] \n  25 [size=\"70004053\", alpha=\"0.08\", expect_size=\"21001216\"] \n  26 [size=\"91016533\", alpha=\"0.07\", expect_size=\"27304960\"] \n  27 [size=\"54780587\", alpha=\"0.07\", expect_size=\"16434176\"] \n  28 [size=\"66553173\", alpha=\"0.07\", expect_size=\"19965952\"] \n  29 [size=\"57463467\", alpha=\"0.08\", expect_size=\"17239040\"] \n  30 [size=\"156320427\", alpha=\"0.03\", expect_size=\"46896128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79810560\", alpha=\"0.18\", expect_size=\"23943168\"] \n  1 -> 25 [size =\"23943168\"]\n  1 -> 25 [size =\"23943168\"]\n  1 -> 28 [size =\"23943168\"]\n  1 -> 28 [size =\"23943168\"]\n  1 -> 30 [size =\"23943168\"]\n  2 [size=\"99232427\", alpha=\"0.20\", expect_size=\"29769728\"] \n  2 -> 24 [size =\"29769728\"]\n  2 -> 27 [size =\"29769728\"]\n  2 -> 28 [size =\"29769728\"]\n  2 -> 30 [size =\"29769728\"]\n  2 -> 30 [size =\"29769728\"]\n  3 [size=\"98116267\", alpha=\"0.18\", expect_size=\"29434880\"] \n  3 -> 24 [size =\"29434880\"]\n  3 -> 25 [size =\"29434880\"]\n  3 -> 27 [size =\"29434880\"]\n  3 -> 30 [size =\"29434880\"]\n  4 [size=\"147462827\", alpha=\"0.00\", expect_size=\"44238848\"] \n  4 -> 24 [size =\"44238848\"]\n  4 -> 28 [size =\"44238848\"]\n  4 -> 30 [size =\"44238848\"]\n  5 [size=\"69024427\", alpha=\"0.10\", expect_size=\"20707328\"] \n  5 -> 24 [size =\"20707328\"]\n  5 -> 25 [size =\"20707328\"]\n  5 -> 29 [size =\"20707328\"]\n  5 -> 30 [size =\"20707328\"]\n  6 [size=\"128812373\", alpha=\"0.10\", expect_size=\"38643712\"] \n  6 -> 24 [size =\"38643712\"]\n  6 -> 28 [size =\"38643712\"]\n  7 [size=\"27682133\", alpha=\"0.05\", expect_size=\"8304640\"] \n  7 -> 24 [size =\"8304640\"]\n  7 -> 26 [size =\"8304640\"]\n  8 [size=\"126921387\", alpha=\"0.07\", expect_size=\"38076416\"] \n  8 -> 25 [size =\"38076416\"]\n  8 -> 26 [size =\"38076416\"]\n  8 -> 27 [size =\"38076416\"]\n  9 [size=\"80158720\", alpha=\"0.18\", expect_size=\"24047616\"] \n  9 -> 24 [size =\"24047616\"]\n  9 -> 27 [size =\"24047616\"]\n  9 -> 29 [size =\"24047616\"]\n  10 [size=\"115879253\", alpha=\"0.11\", expect_size=\"34763776\"] \n  10 -> 24 [size =\"34763776\"]\n  10 -> 25 [size =\"34763776\"]\n  10 -> 26 [size =\"34763776\"]\n  10 -> 27 [size =\"34763776\"]\n  11 [size=\"66556587\", alpha=\"0.06\", expect_size=\"19966976\"] \n  11 -> 26 [size =\"19966976\"]\n  11 -> 27 [size =\"19966976\"]\n  12 [size=\"54388053\", alpha=\"0.15\", expect_size=\"16316416\"] \n  12 -> 27 [size =\"16316416\"]\n  12 -> 28 [size =\"16316416\"]\n  12 -> 29 [size =\"16316416\"]\n  13 [size=\"51671040\", alpha=\"0.15\", expect_size=\"15501312\"] \n  13 -> 25 [size =\"15501312\"]\n  13 -> 26 [size =\"15501312\"]\n  13 -> 28 [size =\"15501312\"]\n  13 -> 30 [size =\"15501312\"]\n  14 [size=\"33368747\", alpha=\"0.01\", expect_size=\"10010624\"] \n  14 -> 27 [size =\"10010624\"]\n  14 -> 30 [size =\"10010624\"]\n  15 [size=\"36539733\", alpha=\"0.16\", expect_size=\"10961920\"] \n  15 -> 24 [size =\"10961920\"]\n  15 -> 25 [size =\"10961920\"]\n  15 -> 28 [size =\"10961920\"]\n  16 [size=\"113404587\", alpha=\"0.12\", expect_size=\"34021376\"] \n  16 -> 24 [size =\"34021376\"]\n  16 -> 25 [size =\"34021376\"]\n  16 -> 26 [size =\"34021376\"]\n  16 -> 30 [size =\"34021376\"]\n  17 [size=\"30989653\", alpha=\"0.05\", expect_size=\"9296896\"] \n  17 -> 26 [size =\"9296896\"]\n  17 -> 30 [size =\"9296896\"]\n  18 [size=\"67235840\", alpha=\"0.15\", expect_size=\"20170752\"] \n  19 [size=\"122207573\", alpha=\"0.14\", expect_size=\"36662272\"] \n  19 -> 28 [size =\"36662272\"]\n  20 [size=\"106414080\", alpha=\"0.03\", expect_size=\"31924224\"] \n  20 -> 24 [size =\"31924224\"]\n  20 -> 27 [size =\"31924224\"]\n  20 -> 28 [size =\"31924224\"]\n  21 [size=\"34003627\", alpha=\"0.01\", expect_size=\"10201088\"] \n  21 -> 25 [size =\"10201088\"]\n  21 -> 26 [size =\"10201088\"]\n  21 -> 28 [size =\"10201088\"]\n  22 [size=\"78066347\", alpha=\"0.09\", expect_size=\"23419904\"] \n  22 -> 24 [size =\"23419904\"]\n  22 -> 25 [size =\"23419904\"]\n  22 -> 26 [size =\"23419904\"]\n  22 -> 28 [size =\"23419904\"]\n  22 -> 30 [size =\"23419904\"]\n  23 [size=\"35566933\", alpha=\"0.07\", expect_size=\"10670080\"] \n  23 -> 24 [size =\"10670080\"]\n  23 -> 25 [size =\"10670080\"]\n  23 -> 27 [size =\"10670080\"]\n  23 -> 28 [size =\"10670080\"]\n  23 -> 30 [size =\"10670080\"]\n  24 [size=\"154299733\", alpha=\"0.01\", expect_size=\"46289920\"] \n  25 [size=\"160539307\", alpha=\"0.02\", expect_size=\"48161792\"] \n  26 [size=\"125416107\", alpha=\"0.17\", expect_size=\"37624832\"] \n  27 [size=\"61890560\", alpha=\"0.14\", expect_size=\"18567168\"] \n  28 [size=\"100440747\", alpha=\"0.04\", expect_size=\"30132224\"] \n  29 [size=\"64037547\", alpha=\"0.03\", expect_size=\"19211264\"] \n  30 [size=\"173588480\", alpha=\"0.14\", expect_size=\"52076544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38268928\", alpha=\"0.13\", expect_size=\"19134464\"] \n  1 -> 13 [size =\"19134464\"]\n  1 -> 15 [size =\"19134464\"]\n  1 -> 16 [size =\"19134464\"]\n  1 -> 17 [size =\"19134464\"]\n  2 [size=\"64942080\", alpha=\"0.04\", expect_size=\"32471040\"] \n  2 -> 12 [size =\"32471040\"]\n  2 -> 13 [size =\"32471040\"]\n  2 -> 15 [size =\"32471040\"]\n  3 [size=\"48936960\", alpha=\"0.02\", expect_size=\"24468480\"] \n  3 -> 11 [size =\"24468480\"]\n  3 -> 12 [size =\"24468480\"]\n  3 -> 14 [size =\"24468480\"]\n  3 -> 16 [size =\"24468480\"]\n  4 [size=\"69871616\", alpha=\"0.13\", expect_size=\"34935808\"] \n  5 [size=\"91486208\", alpha=\"0.04\", expect_size=\"45743104\"] \n  5 -> 12 [size =\"45743104\"]\n  5 -> 17 [size =\"45743104\"]\n  6 [size=\"39469056\", alpha=\"0.05\", expect_size=\"19734528\"] \n  6 -> 12 [size =\"19734528\"]\n  6 -> 14 [size =\"19734528\"]\n  6 -> 17 [size =\"19734528\"]\n  6 -> 18 [size =\"19734528\"]\n  7 [size=\"24137728\", alpha=\"0.10\", expect_size=\"12068864\"] \n  7 -> 11 [size =\"12068864\"]\n  8 [size=\"40507392\", alpha=\"0.17\", expect_size=\"20253696\"] \n  8 -> 14 [size =\"20253696\"]\n  8 -> 15 [size =\"20253696\"]\n  8 -> 17 [size =\"20253696\"]\n  9 [size=\"19576832\", alpha=\"0.14\", expect_size=\"9788416\"] \n  9 -> 12 [size =\"9788416\"]\n  9 -> 13 [size =\"9788416\"]\n  9 -> 14 [size =\"9788416\"]\n  9 -> 16 [size =\"9788416\"]\n  9 -> 17 [size =\"9788416\"]\n  10 [size=\"100626432\", alpha=\"0.05\", expect_size=\"50313216\"] \n  10 -> 12 [size =\"50313216\"]\n  10 -> 16 [size =\"50313216\"]\n  10 -> 17 [size =\"50313216\"]\n  10 -> 19 [size =\"50313216\"]\n  11 [size=\"42420224\", alpha=\"0.14\", expect_size=\"21210112\"] \n  11 -> 22 [size =\"21210112\"]\n  11 -> 23 [size =\"21210112\"]\n  11 -> 24 [size =\"21210112\"]\n  11 -> 25 [size =\"21210112\"]\n  12 [size=\"11724800\", alpha=\"0.16\", expect_size=\"5862400\"] \n  12 -> 20 [size =\"5862400\"]\n  12 -> 22 [size =\"5862400\"]\n  12 -> 24 [size =\"5862400\"]\n  12 -> 25 [size =\"5862400\"]\n  13 [size=\"30437376\", alpha=\"0.10\", expect_size=\"15218688\"] \n  13 -> 20 [size =\"15218688\"]\n  13 -> 22 [size =\"15218688\"]\n  13 -> 23 [size =\"15218688\"]\n  14 [size=\"39135232\", alpha=\"0.16\", expect_size=\"19567616\"] \n  14 -> 20 [size =\"19567616\"]\n  14 -> 25 [size =\"19567616\"]\n  14 -> 28 [size =\"19567616\"]\n  14 -> 29 [size =\"19567616\"]\n  15 [size=\"101636096\", alpha=\"0.11\", expect_size=\"50818048\"] \n  15 -> 24 [size =\"50818048\"]\n  15 -> 25 [size =\"50818048\"]\n  15 -> 26 [size =\"50818048\"]\n  16 [size=\"27404288\", alpha=\"0.15\", expect_size=\"13702144\"] \n  16 -> 24 [size =\"13702144\"]\n  17 [size=\"52590592\", alpha=\"0.04\", expect_size=\"26295296\"] \n  17 -> 28 [size =\"26295296\"]\n  17 -> 29 [size =\"26295296\"]\n  18 [size=\"99252224\", alpha=\"0.11\", expect_size=\"49626112\"] \n  18 -> 21 [size =\"49626112\"]\n  18 -> 22 [size =\"49626112\"]\n  18 -> 25 [size =\"49626112\"]\n  18 -> 29 [size =\"49626112\"]\n  19 [size=\"83552256\", alpha=\"0.17\", expect_size=\"41776128\"] \n  19 -> 22 [size =\"41776128\"]\n  19 -> 23 [size =\"41776128\"]\n  19 -> 24 [size =\"41776128\"]\n  19 -> 25 [size =\"41776128\"]\n  19 -> 27 [size =\"41776128\"]\n  19 -> 28 [size =\"41776128\"]\n  20 [size=\"57358336\", alpha=\"0.02\", expect_size=\"28679168\"] \n  20 -> 30 [size =\"28679168\"]\n  21 [size=\"78891008\", alpha=\"0.14\", expect_size=\"39445504\"] \n  22 [size=\"50075648\", alpha=\"0.17\", expect_size=\"25037824\"] \n  22 -> 30 [size =\"25037824\"]\n  23 [size=\"33503232\", alpha=\"0.09\", expect_size=\"16751616\"] \n  24 [size=\"78981120\", alpha=\"0.13\", expect_size=\"39490560\"] \n  24 -> 30 [size =\"39490560\"]\n  25 [size=\"60252160\", alpha=\"0.14\", expect_size=\"30126080\"] \n  26 [size=\"17625088\", alpha=\"0.01\", expect_size=\"8812544\"] \n  26 -> 30 [size =\"8812544\"]\n  27 [size=\"90306560\", alpha=\"0.11\", expect_size=\"45153280\"] \n  27 -> 30 [size =\"45153280\"]\n  28 [size=\"16949248\", alpha=\"0.08\", expect_size=\"8474624\"] \n  29 [size=\"69580800\", alpha=\"0.06\", expect_size=\"34790400\"] \n  30 [size=\"53618688\", alpha=\"0.04\", expect_size=\"26809344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122060800\", alpha=\"0.17\", expect_size=\"36618240\"] \n  1 -> 5 [size =\"36618240\"]\n  1 -> 6 [size =\"36618240\"]\n  1 -> 7 [size =\"36618240\"]\n  2 [size=\"162802347\", alpha=\"0.08\", expect_size=\"48840704\"] \n  2 -> 5 [size =\"48840704\"]\n  2 -> 6 [size =\"48840704\"]\n  2 -> 7 [size =\"48840704\"]\n  3 [size=\"132304213\", alpha=\"0.12\", expect_size=\"39691264\"] \n  3 -> 5 [size =\"39691264\"]\n  3 -> 6 [size =\"39691264\"]\n  3 -> 7 [size =\"39691264\"]\n  4 [size=\"51831467\", alpha=\"0.12\", expect_size=\"15549440\"] \n  4 -> 5 [size =\"15549440\"]\n  4 -> 6 [size =\"15549440\"]\n  4 -> 7 [size =\"15549440\"]\n  4 -> 8 [size =\"15549440\"]\n  5 [size=\"116142080\", alpha=\"0.07\", expect_size=\"34842624\"] \n  5 -> 9 [size =\"34842624\"]\n  5 -> 10 [size =\"34842624\"]\n  5 -> 11 [size =\"34842624\"]\n  5 -> 12 [size =\"34842624\"]\n  6 [size=\"103413760\", alpha=\"0.19\", expect_size=\"31024128\"] \n  6 -> 9 [size =\"31024128\"]\n  6 -> 11 [size =\"31024128\"]\n  6 -> 11 [size =\"31024128\"]\n  7 [size=\"138949973\", alpha=\"0.04\", expect_size=\"41684992\"] \n  7 -> 9 [size =\"41684992\"]\n  7 -> 10 [size =\"41684992\"]\n  7 -> 12 [size =\"41684992\"]\n  7 -> 13 [size =\"41684992\"]\n  8 [size=\"60941653\", alpha=\"0.09\", expect_size=\"18282496\"] \n  8 -> 9 [size =\"18282496\"]\n  8 -> 10 [size =\"18282496\"]\n  8 -> 11 [size =\"18282496\"]\n  8 -> 12 [size =\"18282496\"]\n  8 -> 13 [size =\"18282496\"]\n  9 [size=\"72704000\", alpha=\"0.01\", expect_size=\"21811200\"] \n  9 -> 16 [size =\"21811200\"]\n  10 [size=\"154880000\", alpha=\"0.09\", expect_size=\"46464000\"] \n  10 -> 16 [size =\"46464000\"]\n  10 -> 18 [size =\"46464000\"]\n  11 [size=\"138461867\", alpha=\"0.14\", expect_size=\"41538560\"] \n  11 -> 14 [size =\"41538560\"]\n  11 -> 16 [size =\"41538560\"]\n  12 [size=\"117411840\", alpha=\"0.14\", expect_size=\"35223552\"] \n  12 -> 14 [size =\"35223552\"]\n  12 -> 18 [size =\"35223552\"]\n  13 [size=\"21930667\", alpha=\"0.10\", expect_size=\"6579200\"] \n  13 -> 14 [size =\"6579200\"]\n  13 -> 15 [size =\"6579200\"]\n  13 -> 17 [size =\"6579200\"]\n  14 [size=\"113046187\", alpha=\"0.05\", expect_size=\"33913856\"] \n  14 -> 19 [size =\"33913856\"]\n  14 -> 21 [size =\"33913856\"]\n  14 -> 22 [size =\"33913856\"]\n  14 -> 23 [size =\"33913856\"]\n  15 [size=\"49674240\", alpha=\"0.02\", expect_size=\"14902272\"] \n  15 -> 20 [size =\"14902272\"]\n  15 -> 22 [size =\"14902272\"]\n  16 [size=\"108178773\", alpha=\"0.16\", expect_size=\"32453632\"] \n  16 -> 19 [size =\"32453632\"]\n  16 -> 20 [size =\"32453632\"]\n  16 -> 22 [size =\"32453632\"]\n  17 [size=\"100218880\", alpha=\"0.01\", expect_size=\"30065664\"] \n  17 -> 20 [size =\"30065664\"]\n  17 -> 22 [size =\"30065664\"]\n  17 -> 23 [size =\"30065664\"]\n  18 [size=\"134710613\", alpha=\"0.19\", expect_size=\"40413184\"] \n  18 -> 19 [size =\"40413184\"]\n  18 -> 22 [size =\"40413184\"]\n  19 [size=\"47848107\", alpha=\"0.03\", expect_size=\"14354432\"] \n  19 -> 25 [size =\"14354432\"]\n  19 -> 26 [size =\"14354432\"]\n  19 -> 27 [size =\"14354432\"]\n  20 [size=\"56814933\", alpha=\"0.01\", expect_size=\"17044480\"] \n  20 -> 24 [size =\"17044480\"]\n  20 -> 25 [size =\"17044480\"]\n  21 [size=\"129624747\", alpha=\"0.12\", expect_size=\"38887424\"] \n  21 -> 24 [size =\"38887424\"]\n  21 -> 25 [size =\"38887424\"]\n  21 -> 27 [size =\"38887424\"]\n  22 [size=\"82595840\", alpha=\"0.02\", expect_size=\"24778752\"] \n  22 -> 24 [size =\"24778752\"]\n  22 -> 25 [size =\"24778752\"]\n  22 -> 27 [size =\"24778752\"]\n  23 [size=\"32112640\", alpha=\"0.06\", expect_size=\"9633792\"] \n  23 -> 24 [size =\"9633792\"]\n  23 -> 25 [size =\"9633792\"]\n  23 -> 27 [size =\"9633792\"]\n  24 [size=\"107298133\", alpha=\"0.15\", expect_size=\"32189440\"] \n  25 [size=\"146404693\", alpha=\"0.16\", expect_size=\"43921408\"] \n  25 -> 28 [size =\"43921408\"]\n  25 -> 30 [size =\"43921408\"]\n  26 [size=\"163652267\", alpha=\"0.08\", expect_size=\"49095680\"] \n  26 -> 28 [size =\"49095680\"]\n  26 -> 29 [size =\"49095680\"]\n  26 -> 30 [size =\"49095680\"]\n  27 [size=\"131846827\", alpha=\"0.16\", expect_size=\"39554048\"] \n  27 -> 29 [size =\"39554048\"]\n  27 -> 29 [size =\"39554048\"]\n  27 -> 30 [size =\"39554048\"]\n  28 [size=\"138840747\", alpha=\"0.09\", expect_size=\"41652224\"] \n  29 [size=\"128771413\", alpha=\"0.09\", expect_size=\"38631424\"] \n  30 [size=\"155176960\", alpha=\"0.06\", expect_size=\"46553088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37949440\", alpha=\"0.10\", expect_size=\"15179776\"] \n  1 -> 21 [size =\"15179776\"]\n  1 -> 28 [size =\"15179776\"]\n  1 -> 29 [size =\"15179776\"]\n  2 [size=\"53550080\", alpha=\"0.15\", expect_size=\"21420032\"] \n  2 -> 21 [size =\"21420032\"]\n  2 -> 27 [size =\"21420032\"]\n  3 [size=\"53614080\", alpha=\"0.19\", expect_size=\"21445632\"] \n  3 -> 24 [size =\"21445632\"]\n  3 -> 26 [size =\"21445632\"]\n  3 -> 29 [size =\"21445632\"]\n  4 [size=\"47925760\", alpha=\"0.07\", expect_size=\"19170304\"] \n  4 -> 23 [size =\"19170304\"]\n  4 -> 29 [size =\"19170304\"]\n  5 [size=\"45457920\", alpha=\"0.01\", expect_size=\"18183168\"] \n  5 -> 29 [size =\"18183168\"]\n  6 [size=\"106268160\", alpha=\"0.19\", expect_size=\"42507264\"] \n  7 [size=\"130437120\", alpha=\"0.19\", expect_size=\"52174848\"] \n  7 -> 21 [size =\"52174848\"]\n  7 -> 23 [size =\"52174848\"]\n  8 [size=\"121305600\", alpha=\"0.04\", expect_size=\"48522240\"] \n  8 -> 22 [size =\"48522240\"]\n  8 -> 23 [size =\"48522240\"]\n  8 -> 24 [size =\"48522240\"]\n  8 -> 25 [size =\"48522240\"]\n  8 -> 29 [size =\"48522240\"]\n  8 -> 30 [size =\"48522240\"]\n  9 [size=\"89863680\", alpha=\"0.09\", expect_size=\"35945472\"] \n  9 -> 21 [size =\"35945472\"]\n  9 -> 24 [size =\"35945472\"]\n  9 -> 26 [size =\"35945472\"]\n  9 -> 28 [size =\"35945472\"]\n  9 -> 30 [size =\"35945472\"]\n  10 [size=\"13207040\", alpha=\"0.15\", expect_size=\"5282816\"] \n  10 -> 21 [size =\"5282816\"]\n  10 -> 25 [size =\"5282816\"]\n  10 -> 29 [size =\"5282816\"]\n  10 -> 30 [size =\"5282816\"]\n  11 [size=\"91438080\", alpha=\"0.08\", expect_size=\"36575232\"] \n  11 -> 21 [size =\"36575232\"]\n  11 -> 24 [size =\"36575232\"]\n  11 -> 25 [size =\"36575232\"]\n  11 -> 27 [size =\"36575232\"]\n  11 -> 30 [size =\"36575232\"]\n  12 [size=\"35374080\", alpha=\"0.00\", expect_size=\"14149632\"] \n  12 -> 23 [size =\"14149632\"]\n  12 -> 24 [size =\"14149632\"]\n  12 -> 29 [size =\"14149632\"]\n  12 -> 30 [size =\"14149632\"]\n  13 [size=\"123891200\", alpha=\"0.01\", expect_size=\"49556480\"] \n  13 -> 22 [size =\"49556480\"]\n  13 -> 24 [size =\"49556480\"]\n  14 [size=\"116508160\", alpha=\"0.05\", expect_size=\"46603264\"] \n  14 -> 21 [size =\"46603264\"]\n  14 -> 24 [size =\"46603264\"]\n  14 -> 30 [size =\"46603264\"]\n  15 [size=\"37137920\", alpha=\"0.14\", expect_size=\"14855168\"] \n  15 -> 21 [size =\"14855168\"]\n  15 -> 30 [size =\"14855168\"]\n  16 [size=\"45870080\", alpha=\"0.14\", expect_size=\"18348032\"] \n  16 -> 23 [size =\"18348032\"]\n  16 -> 29 [size =\"18348032\"]\n  17 [size=\"39024640\", alpha=\"0.13\", expect_size=\"15609856\"] \n  17 -> 24 [size =\"15609856\"]\n  17 -> 25 [size =\"15609856\"]\n  17 -> 26 [size =\"15609856\"]\n  17 -> 27 [size =\"15609856\"]\n  17 -> 29 [size =\"15609856\"]\n  18 [size=\"32099840\", alpha=\"0.11\", expect_size=\"12839936\"] \n  18 -> 22 [size =\"12839936\"]\n  18 -> 23 [size =\"12839936\"]\n  18 -> 24 [size =\"12839936\"]\n  18 -> 27 [size =\"12839936\"]\n  18 -> 28 [size =\"12839936\"]\n  18 -> 29 [size =\"12839936\"]\n  19 [size=\"57840640\", alpha=\"0.13\", expect_size=\"23136256\"] \n  19 -> 21 [size =\"23136256\"]\n  19 -> 23 [size =\"23136256\"]\n  19 -> 24 [size =\"23136256\"]\n  19 -> 26 [size =\"23136256\"]\n  19 -> 27 [size =\"23136256\"]\n  19 -> 29 [size =\"23136256\"]\n  19 -> 30 [size =\"23136256\"]\n  20 [size=\"110481920\", alpha=\"0.06\", expect_size=\"44192768\"] \n  20 -> 21 [size =\"44192768\"]\n  20 -> 22 [size =\"44192768\"]\n  20 -> 23 [size =\"44192768\"]\n  20 -> 24 [size =\"44192768\"]\n  20 -> 25 [size =\"44192768\"]\n  20 -> 29 [size =\"44192768\"]\n  21 [size=\"79193600\", alpha=\"0.04\", expect_size=\"31677440\"] \n  22 [size=\"125652480\", alpha=\"0.08\", expect_size=\"50260992\"] \n  23 [size=\"126489600\", alpha=\"0.19\", expect_size=\"50595840\"] \n  24 [size=\"130895360\", alpha=\"0.16\", expect_size=\"52358144\"] \n  25 [size=\"39654400\", alpha=\"0.19\", expect_size=\"15861760\"] \n  26 [size=\"124288000\", alpha=\"0.17\", expect_size=\"49715200\"] \n  27 [size=\"87933440\", alpha=\"0.15\", expect_size=\"35173376\"] \n  28 [size=\"47971840\", alpha=\"0.12\", expect_size=\"19188736\"] \n  29 [size=\"113633280\", alpha=\"0.01\", expect_size=\"45453312\"] \n  30 [size=\"72460800\", alpha=\"0.11\", expect_size=\"28984320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90566656\", alpha=\"0.14\", expect_size=\"45283328\"] \n  1 -> 6 [size =\"45283328\"]\n  1 -> 7 [size =\"45283328\"]\n  1 -> 9 [size =\"45283328\"]\n  2 [size=\"101640192\", alpha=\"0.00\", expect_size=\"50820096\"] \n  2 -> 8 [size =\"50820096\"]\n  3 [size=\"99371008\", alpha=\"0.18\", expect_size=\"49685504\"] \n  3 -> 9 [size =\"49685504\"]\n  4 [size=\"100167680\", alpha=\"0.07\", expect_size=\"50083840\"] \n  4 -> 7 [size =\"50083840\"]\n  4 -> 8 [size =\"50083840\"]\n  5 [size=\"84189184\", alpha=\"0.02\", expect_size=\"42094592\"] \n  5 -> 6 [size =\"42094592\"]\n  5 -> 7 [size =\"42094592\"]\n  5 -> 8 [size =\"42094592\"]\n  6 [size=\"44922880\", alpha=\"0.17\", expect_size=\"22461440\"] \n  7 [size=\"29163520\", alpha=\"0.10\", expect_size=\"14581760\"] \n  7 -> 10 [size =\"14581760\"]\n  7 -> 13 [size =\"14581760\"]\n  8 [size=\"25212928\", alpha=\"0.08\", expect_size=\"12606464\"] \n  8 -> 11 [size =\"12606464\"]\n  8 -> 12 [size =\"12606464\"]\n  9 [size=\"73304064\", alpha=\"0.15\", expect_size=\"36652032\"] \n  9 -> 13 [size =\"36652032\"]\n  10 [size=\"54845440\", alpha=\"0.11\", expect_size=\"27422720\"] \n  10 -> 16 [size =\"27422720\"]\n  10 -> 17 [size =\"27422720\"]\n  11 [size=\"87068672\", alpha=\"0.20\", expect_size=\"43534336\"] \n  11 -> 15 [size =\"43534336\"]\n  11 -> 16 [size =\"43534336\"]\n  11 -> 18 [size =\"43534336\"]\n  12 [size=\"59412480\", alpha=\"0.03\", expect_size=\"29706240\"] \n  12 -> 14 [size =\"29706240\"]\n  12 -> 16 [size =\"29706240\"]\n  13 [size=\"59480064\", alpha=\"0.08\", expect_size=\"29740032\"] \n  13 -> 15 [size =\"29740032\"]\n  13 -> 17 [size =\"29740032\"]\n  13 -> 18 [size =\"29740032\"]\n  14 [size=\"52017152\", alpha=\"0.05\", expect_size=\"26008576\"] \n  14 -> 20 [size =\"26008576\"]\n  15 [size=\"87306240\", alpha=\"0.18\", expect_size=\"43653120\"] \n  15 -> 20 [size =\"43653120\"]\n  15 -> 22 [size =\"43653120\"]\n  16 [size=\"96163840\", alpha=\"0.01\", expect_size=\"48081920\"] \n  16 -> 19 [size =\"48081920\"]\n  16 -> 21 [size =\"48081920\"]\n  16 -> 23 [size =\"48081920\"]\n  17 [size=\"84277248\", alpha=\"0.13\", expect_size=\"42138624\"] \n  17 -> 21 [size =\"42138624\"]\n  17 -> 24 [size =\"42138624\"]\n  18 [size=\"37947392\", alpha=\"0.07\", expect_size=\"18973696\"] \n  18 -> 21 [size =\"18973696\"]\n  19 [size=\"77723648\", alpha=\"0.10\", expect_size=\"38861824\"] \n  19 -> 25 [size =\"38861824\"]\n  19 -> 26 [size =\"38861824\"]\n  19 -> 27 [size =\"38861824\"]\n  19 -> 28 [size =\"38861824\"]\n  19 -> 29 [size =\"38861824\"]\n  20 [size=\"53516288\", alpha=\"0.11\", expect_size=\"26758144\"] \n  20 -> 26 [size =\"26758144\"]\n  20 -> 28 [size =\"26758144\"]\n  21 [size=\"104048640\", alpha=\"0.09\", expect_size=\"52024320\"] \n  21 -> 25 [size =\"52024320\"]\n  21 -> 29 [size =\"52024320\"]\n  22 [size=\"103940096\", alpha=\"0.06\", expect_size=\"51970048\"] \n  22 -> 25 [size =\"51970048\"]\n  23 [size=\"21714944\", alpha=\"0.03\", expect_size=\"10857472\"] \n  23 -> 26 [size =\"10857472\"]\n  23 -> 28 [size =\"10857472\"]\n  23 -> 29 [size =\"10857472\"]\n  24 [size=\"59398144\", alpha=\"0.18\", expect_size=\"29699072\"] \n  24 -> 25 [size =\"29699072\"]\n  24 -> 26 [size =\"29699072\"]\n  24 -> 28 [size =\"29699072\"]\n  24 -> 29 [size =\"29699072\"]\n  25 [size=\"81420288\", alpha=\"0.09\", expect_size=\"40710144\"] \n  26 [size=\"71188480\", alpha=\"0.07\", expect_size=\"35594240\"] \n  26 -> 30 [size =\"35594240\"]\n  27 [size=\"78133248\", alpha=\"0.09\", expect_size=\"39066624\"] \n  28 [size=\"47054848\", alpha=\"0.14\", expect_size=\"23527424\"] \n  29 [size=\"78307328\", alpha=\"0.13\", expect_size=\"39153664\"] \n  29 -> 30 [size =\"39153664\"]\n  30 [size=\"29884416\", alpha=\"0.01\", expect_size=\"14942208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82692096\", alpha=\"0.01\", expect_size=\"41346048\"] \n  1 -> 14 [size =\"41346048\"]\n  1 -> 17 [size =\"41346048\"]\n  1 -> 18 [size =\"41346048\"]\n  1 -> 19 [size =\"41346048\"]\n  2 [size=\"98777088\", alpha=\"0.08\", expect_size=\"49388544\"] \n  2 -> 13 [size =\"49388544\"]\n  2 -> 14 [size =\"49388544\"]\n  2 -> 17 [size =\"49388544\"]\n  2 -> 19 [size =\"49388544\"]\n  3 [size=\"103102464\", alpha=\"0.16\", expect_size=\"51551232\"] \n  3 -> 13 [size =\"51551232\"]\n  3 -> 14 [size =\"51551232\"]\n  3 -> 17 [size =\"51551232\"]\n  3 -> 18 [size =\"51551232\"]\n  3 -> 19 [size =\"51551232\"]\n  4 [size=\"14409728\", alpha=\"0.07\", expect_size=\"7204864\"] \n  4 -> 12 [size =\"7204864\"]\n  4 -> 17 [size =\"7204864\"]\n  4 -> 17 [size =\"7204864\"]\n  4 -> 18 [size =\"7204864\"]\n  5 [size=\"86857728\", alpha=\"0.15\", expect_size=\"43428864\"] \n  5 -> 13 [size =\"43428864\"]\n  5 -> 14 [size =\"43428864\"]\n  5 -> 17 [size =\"43428864\"]\n  5 -> 18 [size =\"43428864\"]\n  5 -> 19 [size =\"43428864\"]\n  6 [size=\"19920896\", alpha=\"0.04\", expect_size=\"9960448\"] \n  6 -> 14 [size =\"9960448\"]\n  6 -> 18 [size =\"9960448\"]\n  6 -> 19 [size =\"9960448\"]\n  7 [size=\"82716672\", alpha=\"0.07\", expect_size=\"41358336\"] \n  7 -> 14 [size =\"41358336\"]\n  7 -> 18 [size =\"41358336\"]\n  8 [size=\"71911424\", alpha=\"0.18\", expect_size=\"35955712\"] \n  8 -> 11 [size =\"35955712\"]\n  8 -> 14 [size =\"35955712\"]\n  8 -> 17 [size =\"35955712\"]\n  8 -> 18 [size =\"35955712\"]\n  9 [size=\"89280512\", alpha=\"0.13\", expect_size=\"44640256\"] \n  9 -> 11 [size =\"44640256\"]\n  9 -> 15 [size =\"44640256\"]\n  9 -> 16 [size =\"44640256\"]\n  9 -> 17 [size =\"44640256\"]\n  9 -> 18 [size =\"44640256\"]\n  10 [size=\"63395840\", alpha=\"0.01\", expect_size=\"31697920\"] \n  10 -> 11 [size =\"31697920\"]\n  10 -> 13 [size =\"31697920\"]\n  10 -> 14 [size =\"31697920\"]\n  10 -> 17 [size =\"31697920\"]\n  10 -> 18 [size =\"31697920\"]\n  11 [size=\"10915840\", alpha=\"0.16\", expect_size=\"5457920\"] \n  11 -> 22 [size =\"5457920\"]\n  11 -> 26 [size =\"5457920\"]\n  11 -> 27 [size =\"5457920\"]\n  11 -> 28 [size =\"5457920\"]\n  12 [size=\"16828416\", alpha=\"0.18\", expect_size=\"8414208\"] \n  12 -> 25 [size =\"8414208\"]\n  12 -> 27 [size =\"8414208\"]\n  12 -> 27 [size =\"8414208\"]\n  12 -> 28 [size =\"8414208\"]\n  13 [size=\"52248576\", alpha=\"0.07\", expect_size=\"26124288\"] \n  13 -> 28 [size =\"26124288\"]\n  14 [size=\"33581056\", alpha=\"0.12\", expect_size=\"16790528\"] \n  14 -> 23 [size =\"16790528\"]\n  14 -> 24 [size =\"16790528\"]\n  14 -> 26 [size =\"16790528\"]\n  14 -> 27 [size =\"16790528\"]\n  14 -> 28 [size =\"16790528\"]\n  15 [size=\"65548288\", alpha=\"0.19\", expect_size=\"32774144\"] \n  15 -> 20 [size =\"32774144\"]\n  15 -> 23 [size =\"32774144\"]\n  15 -> 24 [size =\"32774144\"]\n  15 -> 25 [size =\"32774144\"]\n  15 -> 27 [size =\"32774144\"]\n  15 -> 28 [size =\"32774144\"]\n  16 [size=\"42770432\", alpha=\"0.15\", expect_size=\"21385216\"] \n  16 -> 23 [size =\"21385216\"]\n  16 -> 25 [size =\"21385216\"]\n  16 -> 26 [size =\"21385216\"]\n  16 -> 27 [size =\"21385216\"]\n  17 [size=\"61655040\", alpha=\"0.03\", expect_size=\"30827520\"] \n  17 -> 21 [size =\"30827520\"]\n  17 -> 22 [size =\"30827520\"]\n  17 -> 24 [size =\"30827520\"]\n  17 -> 25 [size =\"30827520\"]\n  17 -> 27 [size =\"30827520\"]\n  18 [size=\"92835840\", alpha=\"0.03\", expect_size=\"46417920\"] \n  18 -> 22 [size =\"46417920\"]\n  18 -> 25 [size =\"46417920\"]\n  18 -> 26 [size =\"46417920\"]\n  19 [size=\"83052544\", alpha=\"0.19\", expect_size=\"41526272\"] \n  19 -> 23 [size =\"41526272\"]\n  19 -> 25 [size =\"41526272\"]\n  19 -> 28 [size =\"41526272\"]\n  20 [size=\"49883136\", alpha=\"0.01\", expect_size=\"24941568\"] \n  20 -> 29 [size =\"24941568\"]\n  20 -> 30 [size =\"24941568\"]\n  21 [size=\"56885248\", alpha=\"0.18\", expect_size=\"28442624\"] \n  21 -> 29 [size =\"28442624\"]\n  22 [size=\"38543360\", alpha=\"0.14\", expect_size=\"19271680\"] \n  22 -> 29 [size =\"19271680\"]\n  23 [size=\"26963968\", alpha=\"0.09\", expect_size=\"13481984\"] \n  23 -> 29 [size =\"13481984\"]\n  24 [size=\"57870336\", alpha=\"0.06\", expect_size=\"28935168\"] \n  24 -> 29 [size =\"28935168\"]\n  25 [size=\"17952768\", alpha=\"0.18\", expect_size=\"8976384\"] \n  26 [size=\"11747328\", alpha=\"0.13\", expect_size=\"5873664\"] \n  26 -> 29 [size =\"5873664\"]\n  27 [size=\"80697344\", alpha=\"0.03\", expect_size=\"40348672\"] \n  28 [size=\"94554112\", alpha=\"0.06\", expect_size=\"47277056\"] \n  28 -> 29 [size =\"47277056\"]\n  29 [size=\"14688256\", alpha=\"0.05\", expect_size=\"7344128\"] \n  30 [size=\"102463488\", alpha=\"0.16\", expect_size=\"51231744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44464640\", alpha=\"0.11\", expect_size=\"17785856\"] \n  1 -> 2 [size =\"17785856\"]\n  2 [size=\"28021760\", alpha=\"0.20\", expect_size=\"11208704\"] \n  2 -> 3 [size =\"11208704\"]\n  3 [size=\"94269440\", alpha=\"0.07\", expect_size=\"37707776\"] \n  3 -> 4 [size =\"37707776\"]\n  4 [size=\"73256960\", alpha=\"0.05\", expect_size=\"29302784\"] \n  4 -> 5 [size =\"29302784\"]\n  5 [size=\"83415040\", alpha=\"0.09\", expect_size=\"33366016\"] \n  5 -> 6 [size =\"33366016\"]\n  6 [size=\"94220800\", alpha=\"0.07\", expect_size=\"37688320\"] \n  6 -> 7 [size =\"37688320\"]\n  7 [size=\"108833280\", alpha=\"0.12\", expect_size=\"43533312\"] \n  7 -> 8 [size =\"43533312\"]\n  8 [size=\"39226880\", alpha=\"0.15\", expect_size=\"15690752\"] \n  8 -> 9 [size =\"15690752\"]\n  9 [size=\"16048640\", alpha=\"0.17\", expect_size=\"6419456\"] \n  9 -> 10 [size =\"6419456\"]\n  10 [size=\"29632000\", alpha=\"0.13\", expect_size=\"11852800\"] \n  10 -> 11 [size =\"11852800\"]\n  11 [size=\"44257280\", alpha=\"0.08\", expect_size=\"17702912\"] \n  11 -> 12 [size =\"17702912\"]\n  12 [size=\"106828800\", alpha=\"0.20\", expect_size=\"42731520\"] \n  12 -> 13 [size =\"42731520\"]\n  13 [size=\"104102400\", alpha=\"0.18\", expect_size=\"41640960\"] \n  13 -> 14 [size =\"41640960\"]\n  14 [size=\"28608000\", alpha=\"0.11\", expect_size=\"11443200\"] \n  14 -> 15 [size =\"11443200\"]\n  15 [size=\"58309120\", alpha=\"0.05\", expect_size=\"23323648\"] \n  15 -> 16 [size =\"23323648\"]\n  16 [size=\"110080000\", alpha=\"0.06\", expect_size=\"44032000\"] \n  16 -> 17 [size =\"44032000\"]\n  17 [size=\"33674240\", alpha=\"0.15\", expect_size=\"13469696\"] \n  17 -> 18 [size =\"13469696\"]\n  18 [size=\"105502720\", alpha=\"0.18\", expect_size=\"42201088\"] \n  18 -> 19 [size =\"42201088\"]\n  19 [size=\"73694720\", alpha=\"0.14\", expect_size=\"29477888\"] \n  19 -> 20 [size =\"29477888\"]\n  20 [size=\"57272320\", alpha=\"0.06\", expect_size=\"22908928\"] \n  20 -> 21 [size =\"22908928\"]\n  21 [size=\"18636800\", alpha=\"0.03\", expect_size=\"7454720\"] \n  21 -> 22 [size =\"7454720\"]\n  22 [size=\"64977920\", alpha=\"0.03\", expect_size=\"25991168\"] \n  22 -> 23 [size =\"25991168\"]\n  23 [size=\"63575040\", alpha=\"0.17\", expect_size=\"25430016\"] \n  23 -> 24 [size =\"25430016\"]\n  24 [size=\"48934400\", alpha=\"0.00\", expect_size=\"19573760\"] \n  24 -> 25 [size =\"19573760\"]\n  25 [size=\"113354240\", alpha=\"0.16\", expect_size=\"45341696\"] \n  25 -> 26 [size =\"45341696\"]\n  26 [size=\"22937600\", alpha=\"0.05\", expect_size=\"9175040\"] \n  26 -> 27 [size =\"9175040\"]\n  27 [size=\"59893760\", alpha=\"0.11\", expect_size=\"23957504\"] \n  27 -> 28 [size =\"23957504\"]\n  28 [size=\"28569600\", alpha=\"0.01\", expect_size=\"11427840\"] \n  28 -> 29 [size =\"11427840\"]\n  29 [size=\"14809600\", alpha=\"0.12\", expect_size=\"5923840\"] \n  29 -> 30 [size =\"5923840\"]\n  30 [size=\"97868800\", alpha=\"0.05\", expect_size=\"39147520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45316096\", alpha=\"0.01\", expect_size=\"22658048\"] \n  1 -> 2 [size =\"22658048\"]\n  2 [size=\"95176704\", alpha=\"0.13\", expect_size=\"47588352\"] \n  2 -> 3 [size =\"47588352\"]\n  3 [size=\"16850944\", alpha=\"0.04\", expect_size=\"8425472\"] \n  3 -> 4 [size =\"8425472\"]\n  4 [size=\"33757184\", alpha=\"0.14\", expect_size=\"16878592\"] \n  4 -> 5 [size =\"16878592\"]\n  5 [size=\"59238400\", alpha=\"0.07\", expect_size=\"29619200\"] \n  5 -> 6 [size =\"29619200\"]\n  6 [size=\"33583104\", alpha=\"0.00\", expect_size=\"16791552\"] \n  6 -> 7 [size =\"16791552\"]\n  7 [size=\"69505024\", alpha=\"0.19\", expect_size=\"34752512\"] \n  7 -> 8 [size =\"34752512\"]\n  8 [size=\"16220160\", alpha=\"0.02\", expect_size=\"8110080\"] \n  8 -> 9 [size =\"8110080\"]\n  9 [size=\"77756416\", alpha=\"0.14\", expect_size=\"38878208\"] \n  9 -> 10 [size =\"38878208\"]\n  10 [size=\"70141952\", alpha=\"0.05\", expect_size=\"35070976\"] \n  10 -> 11 [size =\"35070976\"]\n  11 [size=\"60354560\", alpha=\"0.14\", expect_size=\"30177280\"] \n  11 -> 12 [size =\"30177280\"]\n  12 [size=\"64202752\", alpha=\"0.15\", expect_size=\"32101376\"] \n  12 -> 13 [size =\"32101376\"]\n  13 [size=\"33357824\", alpha=\"0.01\", expect_size=\"16678912\"] \n  13 -> 14 [size =\"16678912\"]\n  14 [size=\"52035584\", alpha=\"0.08\", expect_size=\"26017792\"] \n  14 -> 15 [size =\"26017792\"]\n  15 [size=\"23470080\", alpha=\"0.08\", expect_size=\"11735040\"] \n  15 -> 16 [size =\"11735040\"]\n  16 [size=\"55687168\", alpha=\"0.02\", expect_size=\"27843584\"] \n  16 -> 17 [size =\"27843584\"]\n  17 [size=\"56881152\", alpha=\"0.19\", expect_size=\"28440576\"] \n  17 -> 18 [size =\"28440576\"]\n  18 [size=\"50735104\", alpha=\"0.03\", expect_size=\"25367552\"] \n  18 -> 19 [size =\"25367552\"]\n  19 [size=\"60561408\", alpha=\"0.02\", expect_size=\"30280704\"] \n  19 -> 20 [size =\"30280704\"]\n  20 [size=\"33323008\", alpha=\"0.06\", expect_size=\"16661504\"] \n  20 -> 21 [size =\"16661504\"]\n  21 [size=\"54882304\", alpha=\"0.18\", expect_size=\"27441152\"] \n  21 -> 22 [size =\"27441152\"]\n  22 [size=\"25346048\", alpha=\"0.08\", expect_size=\"12673024\"] \n  22 -> 23 [size =\"12673024\"]\n  23 [size=\"94083072\", alpha=\"0.19\", expect_size=\"47041536\"] \n  23 -> 24 [size =\"47041536\"]\n  24 [size=\"99045376\", alpha=\"0.15\", expect_size=\"49522688\"] \n  24 -> 25 [size =\"49522688\"]\n  25 [size=\"44232704\", alpha=\"0.02\", expect_size=\"22116352\"] \n  25 -> 26 [size =\"22116352\"]\n  26 [size=\"80803840\", alpha=\"0.13\", expect_size=\"40401920\"] \n  26 -> 27 [size =\"40401920\"]\n  27 [size=\"91185152\", alpha=\"0.17\", expect_size=\"45592576\"] \n  27 -> 28 [size =\"45592576\"]\n  28 [size=\"88608768\", alpha=\"0.02\", expect_size=\"44304384\"] \n  28 -> 29 [size =\"44304384\"]\n  29 [size=\"101623808\", alpha=\"0.01\", expect_size=\"50811904\"] \n  29 -> 30 [size =\"50811904\"]\n  30 [size=\"15290368\", alpha=\"0.13\", expect_size=\"7645184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17483093\", alpha=\"0.00\", expect_size=\"5244928\"] \n  1 -> 13 [size =\"5244928\"]\n  1 -> 13 [size =\"5244928\"]\n  1 -> 14 [size =\"5244928\"]\n  1 -> 18 [size =\"5244928\"]\n  1 -> 19 [size =\"5244928\"]\n  2 [size=\"114080427\", alpha=\"0.04\", expect_size=\"34224128\"] \n  2 -> 12 [size =\"34224128\"]\n  2 -> 13 [size =\"34224128\"]\n  2 -> 14 [size =\"34224128\"]\n  3 [size=\"98870613\", alpha=\"0.18\", expect_size=\"29661184\"] \n  3 -> 11 [size =\"29661184\"]\n  3 -> 12 [size =\"29661184\"]\n  3 -> 15 [size =\"29661184\"]\n  3 -> 17 [size =\"29661184\"]\n  3 -> 19 [size =\"29661184\"]\n  4 [size=\"56261973\", alpha=\"0.04\", expect_size=\"16878592\"] \n  4 -> 11 [size =\"16878592\"]\n  4 -> 12 [size =\"16878592\"]\n  4 -> 14 [size =\"16878592\"]\n  5 [size=\"22715733\", alpha=\"0.01\", expect_size=\"6814720\"] \n  5 -> 12 [size =\"6814720\"]\n  5 -> 12 [size =\"6814720\"]\n  5 -> 14 [size =\"6814720\"]\n  5 -> 18 [size =\"6814720\"]\n  6 [size=\"55965013\", alpha=\"0.18\", expect_size=\"16789504\"] \n  6 -> 12 [size =\"16789504\"]\n  6 -> 13 [size =\"16789504\"]\n  6 -> 14 [size =\"16789504\"]\n  6 -> 15 [size =\"16789504\"]\n  6 -> 17 [size =\"16789504\"]\n  7 [size=\"107728213\", alpha=\"0.15\", expect_size=\"32318464\"] \n  7 -> 12 [size =\"32318464\"]\n  7 -> 13 [size =\"32318464\"]\n  7 -> 14 [size =\"32318464\"]\n  7 -> 15 [size =\"32318464\"]\n  7 -> 17 [size =\"32318464\"]\n  7 -> 19 [size =\"32318464\"]\n  8 [size=\"27716267\", alpha=\"0.14\", expect_size=\"8314880\"] \n  8 -> 13 [size =\"8314880\"]\n  8 -> 13 [size =\"8314880\"]\n  8 -> 17 [size =\"8314880\"]\n  9 [size=\"49240747\", alpha=\"0.12\", expect_size=\"14772224\"] \n  9 -> 12 [size =\"14772224\"]\n  9 -> 13 [size =\"14772224\"]\n  9 -> 14 [size =\"14772224\"]\n  9 -> 16 [size =\"14772224\"]\n  9 -> 17 [size =\"14772224\"]\n  10 [size=\"152917333\", alpha=\"0.05\", expect_size=\"45875200\"] \n  10 -> 12 [size =\"45875200\"]\n  10 -> 13 [size =\"45875200\"]\n  10 -> 14 [size =\"45875200\"]\n  10 -> 18 [size =\"45875200\"]\n  11 [size=\"30928213\", alpha=\"0.07\", expect_size=\"9278464\"] \n  11 -> 22 [size =\"9278464\"]\n  11 -> 25 [size =\"9278464\"]\n  11 -> 26 [size =\"9278464\"]\n  11 -> 28 [size =\"9278464\"]\n  12 [size=\"32034133\", alpha=\"0.13\", expect_size=\"9610240\"] \n  12 -> 20 [size =\"9610240\"]\n  12 -> 21 [size =\"9610240\"]\n  12 -> 22 [size =\"9610240\"]\n  12 -> 25 [size =\"9610240\"]\n  12 -> 27 [size =\"9610240\"]\n  12 -> 29 [size =\"9610240\"]\n  13 [size=\"65788587\", alpha=\"0.05\", expect_size=\"19736576\"] \n  13 -> 25 [size =\"19736576\"]\n  14 [size=\"51377493\", alpha=\"0.20\", expect_size=\"15413248\"] \n  14 -> 25 [size =\"15413248\"]\n  14 -> 26 [size =\"15413248\"]\n  14 -> 27 [size =\"15413248\"]\n  15 [size=\"79486293\", alpha=\"0.08\", expect_size=\"23845888\"] \n  15 -> 24 [size =\"23845888\"]\n  15 -> 25 [size =\"23845888\"]\n  15 -> 26 [size =\"23845888\"]\n  15 -> 27 [size =\"23845888\"]\n  15 -> 29 [size =\"23845888\"]\n  16 [size=\"84780373\", alpha=\"0.10\", expect_size=\"25434112\"] \n  16 -> 21 [size =\"25434112\"]\n  16 -> 22 [size =\"25434112\"]\n  16 -> 24 [size =\"25434112\"]\n  16 -> 25 [size =\"25434112\"]\n  16 -> 26 [size =\"25434112\"]\n  16 -> 27 [size =\"25434112\"]\n  16 -> 29 [size =\"25434112\"]\n  17 [size=\"72202240\", alpha=\"0.18\", expect_size=\"21660672\"] \n  17 -> 22 [size =\"21660672\"]\n  17 -> 26 [size =\"21660672\"]\n  17 -> 27 [size =\"21660672\"]\n  18 [size=\"33293653\", alpha=\"0.05\", expect_size=\"9988096\"] \n  18 -> 20 [size =\"9988096\"]\n  18 -> 21 [size =\"9988096\"]\n  18 -> 22 [size =\"9988096\"]\n  18 -> 23 [size =\"9988096\"]\n  18 -> 24 [size =\"9988096\"]\n  18 -> 26 [size =\"9988096\"]\n  18 -> 27 [size =\"9988096\"]\n  19 [size=\"140752213\", alpha=\"0.15\", expect_size=\"42225664\"] \n  19 -> 21 [size =\"42225664\"]\n  19 -> 22 [size =\"42225664\"]\n  19 -> 24 [size =\"42225664\"]\n  19 -> 25 [size =\"42225664\"]\n  19 -> 26 [size =\"42225664\"]\n  19 -> 28 [size =\"42225664\"]\n  19 -> 29 [size =\"42225664\"]\n  20 [size=\"80749227\", alpha=\"0.15\", expect_size=\"24224768\"] \n  20 -> 30 [size =\"24224768\"]\n  21 [size=\"120978773\", alpha=\"0.15\", expect_size=\"36293632\"] \n  21 -> 30 [size =\"36293632\"]\n  22 [size=\"22138880\", alpha=\"0.08\", expect_size=\"6641664\"] \n  22 -> 30 [size =\"6641664\"]\n  23 [size=\"126938453\", alpha=\"0.10\", expect_size=\"38081536\"] \n  23 -> 30 [size =\"38081536\"]\n  24 [size=\"168659627\", alpha=\"0.18\", expect_size=\"50597888\"] \n  24 -> 30 [size =\"50597888\"]\n  25 [size=\"165860693\", alpha=\"0.06\", expect_size=\"49758208\"] \n  25 -> 30 [size =\"49758208\"]\n  26 [size=\"71086080\", alpha=\"0.19\", expect_size=\"21325824\"] \n  26 -> 30 [size =\"21325824\"]\n  27 [size=\"147206827\", alpha=\"0.04\", expect_size=\"44162048\"] \n  28 [size=\"129112747\", alpha=\"0.10\", expect_size=\"38733824\"] \n  28 -> 30 [size =\"38733824\"]\n  29 [size=\"165396480\", alpha=\"0.20\", expect_size=\"49618944\"] \n  30 [size=\"127883947\", alpha=\"0.07\", expect_size=\"38365184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96862208\", alpha=\"0.15\", expect_size=\"48431104\"] \n  2 [size=\"12654592\", alpha=\"0.03\", expect_size=\"6327296\"] \n  2 -> 3 [size =\"6327296\"]\n  3 [size=\"29892608\", alpha=\"0.15\", expect_size=\"14946304\"] \n  3 -> 4 [size =\"14946304\"]\n  3 -> 5 [size =\"14946304\"]\n  4 [size=\"64016384\", alpha=\"0.13\", expect_size=\"32008192\"] \n  4 -> 7 [size =\"32008192\"]\n  5 [size=\"90028032\", alpha=\"0.19\", expect_size=\"45014016\"] \n  5 -> 6 [size =\"45014016\"]\n  6 [size=\"65656832\", alpha=\"0.17\", expect_size=\"32828416\"] \n  6 -> 8 [size =\"32828416\"]\n  6 -> 9 [size =\"32828416\"]\n  7 [size=\"71008256\", alpha=\"0.11\", expect_size=\"35504128\"] \n  7 -> 8 [size =\"35504128\"]\n  8 [size=\"62050304\", alpha=\"0.01\", expect_size=\"31025152\"] \n  8 -> 10 [size =\"31025152\"]\n  9 [size=\"54710272\", alpha=\"0.18\", expect_size=\"27355136\"] \n  10 [size=\"73576448\", alpha=\"0.16\", expect_size=\"36788224\"] \n  10 -> 11 [size =\"36788224\"]\n  11 [size=\"68268032\", alpha=\"0.08\", expect_size=\"34134016\"] \n  11 -> 12 [size =\"34134016\"]\n  11 -> 13 [size =\"34134016\"]\n  12 [size=\"42930176\", alpha=\"0.17\", expect_size=\"21465088\"] \n  13 [size=\"56508416\", alpha=\"0.08\", expect_size=\"28254208\"] \n  13 -> 14 [size =\"28254208\"]\n  13 -> 15 [size =\"28254208\"]\n  14 [size=\"34451456\", alpha=\"0.05\", expect_size=\"17225728\"] \n  14 -> 16 [size =\"17225728\"]\n  15 [size=\"96729088\", alpha=\"0.00\", expect_size=\"48364544\"] \n  15 -> 16 [size =\"48364544\"]\n  16 [size=\"92659712\", alpha=\"0.13\", expect_size=\"46329856\"] \n  16 -> 17 [size =\"46329856\"]\n  16 -> 18 [size =\"46329856\"]\n  17 [size=\"76175360\", alpha=\"0.10\", expect_size=\"38087680\"] \n  17 -> 19 [size =\"38087680\"]\n  18 [size=\"31801344\", alpha=\"0.14\", expect_size=\"15900672\"] \n  18 -> 19 [size =\"15900672\"]\n  18 -> 20 [size =\"15900672\"]\n  19 [size=\"38051840\", alpha=\"0.13\", expect_size=\"19025920\"] \n  19 -> 21 [size =\"19025920\"]\n  20 [size=\"30138368\", alpha=\"0.13\", expect_size=\"15069184\"] \n  20 -> 21 [size =\"15069184\"]\n  20 -> 22 [size =\"15069184\"]\n  21 [size=\"12400640\", alpha=\"0.12\", expect_size=\"6200320\"] \n  21 -> 23 [size =\"6200320\"]\n  22 [size=\"48189440\", alpha=\"0.12\", expect_size=\"24094720\"] \n  22 -> 24 [size =\"24094720\"]\n  23 [size=\"34670592\", alpha=\"0.15\", expect_size=\"17335296\"] \n  23 -> 25 [size =\"17335296\"]\n  24 [size=\"70305792\", alpha=\"0.10\", expect_size=\"35152896\"] \n  24 -> 25 [size =\"35152896\"]\n  25 [size=\"94885888\", alpha=\"0.02\", expect_size=\"47442944\"] \n  25 -> 26 [size =\"47442944\"]\n  26 [size=\"96544768\", alpha=\"0.05\", expect_size=\"48272384\"] \n  26 -> 27 [size =\"48272384\"]\n  26 -> 28 [size =\"48272384\"]\n  27 [size=\"62316544\", alpha=\"0.01\", expect_size=\"31158272\"] \n  27 -> 29 [size =\"31158272\"]\n  27 -> 30 [size =\"31158272\"]\n  28 [size=\"13580288\", alpha=\"0.08\", expect_size=\"6790144\"] \n  29 [size=\"80656384\", alpha=\"0.05\", expect_size=\"40328192\"] \n  30 [size=\"47190016\", alpha=\"0.14\", expect_size=\"23595008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86530048\", alpha=\"0.08\", expect_size=\"43265024\"] \n  1 -> 3 [size =\"43265024\"]\n  2 [size=\"70516736\", alpha=\"0.18\", expect_size=\"35258368\"] \n  2 -> 3 [size =\"35258368\"]\n  3 [size=\"73723904\", alpha=\"0.04\", expect_size=\"36861952\"] \n  3 -> 4 [size =\"36861952\"]\n  3 -> 5 [size =\"36861952\"]\n  4 [size=\"54288384\", alpha=\"0.16\", expect_size=\"27144192\"] \n  4 -> 6 [size =\"27144192\"]\n  5 [size=\"18173952\", alpha=\"0.18\", expect_size=\"9086976\"] \n  5 -> 6 [size =\"9086976\"]\n  6 [size=\"98174976\", alpha=\"0.03\", expect_size=\"49087488\"] \n  6 -> 7 [size =\"49087488\"]\n  7 [size=\"98088960\", alpha=\"0.09\", expect_size=\"49044480\"] \n  7 -> 8 [size =\"49044480\"]\n  7 -> 9 [size =\"49044480\"]\n  8 [size=\"52496384\", alpha=\"0.00\", expect_size=\"26248192\"] \n  8 -> 10 [size =\"26248192\"]\n  9 [size=\"28616704\", alpha=\"0.09\", expect_size=\"14308352\"] \n  9 -> 11 [size =\"14308352\"]\n  10 [size=\"93188096\", alpha=\"0.05\", expect_size=\"46594048\"] \n  10 -> 12 [size =\"46594048\"]\n  11 [size=\"43515904\", alpha=\"0.12\", expect_size=\"21757952\"] \n  11 -> 12 [size =\"21757952\"]\n  12 [size=\"79179776\", alpha=\"0.00\", expect_size=\"39589888\"] \n  12 -> 13 [size =\"39589888\"]\n  12 -> 14 [size =\"39589888\"]\n  13 [size=\"68634624\", alpha=\"0.20\", expect_size=\"34317312\"] \n  13 -> 15 [size =\"34317312\"]\n  14 [size=\"86423552\", alpha=\"0.11\", expect_size=\"43211776\"] \n  14 -> 16 [size =\"43211776\"]\n  15 [size=\"66705408\", alpha=\"0.15\", expect_size=\"33352704\"] \n  15 -> 17 [size =\"33352704\"]\n  15 -> 18 [size =\"33352704\"]\n  16 [size=\"58701824\", alpha=\"0.18\", expect_size=\"29350912\"] \n  17 [size=\"73140224\", alpha=\"0.01\", expect_size=\"36570112\"] \n  17 -> 19 [size =\"36570112\"]\n  18 [size=\"21164032\", alpha=\"0.14\", expect_size=\"10582016\"] \n  18 -> 20 [size =\"10582016\"]\n  19 [size=\"21809152\", alpha=\"0.18\", expect_size=\"10904576\"] \n  19 -> 21 [size =\"10904576\"]\n  19 -> 22 [size =\"10904576\"]\n  20 [size=\"65511424\", alpha=\"0.12\", expect_size=\"32755712\"] \n  20 -> 21 [size =\"32755712\"]\n  21 [size=\"86820864\", alpha=\"0.03\", expect_size=\"43410432\"] \n  21 -> 23 [size =\"43410432\"]\n  22 [size=\"51068928\", alpha=\"0.06\", expect_size=\"25534464\"] \n  22 -> 23 [size =\"25534464\"]\n  23 [size=\"52004864\", alpha=\"0.02\", expect_size=\"26002432\"] \n  23 -> 24 [size =\"26002432\"]\n  23 -> 25 [size =\"26002432\"]\n  24 [size=\"51656704\", alpha=\"0.08\", expect_size=\"25828352\"] \n  25 [size=\"11327488\", alpha=\"0.15\", expect_size=\"5663744\"] \n  25 -> 26 [size =\"5663744\"]\n  25 -> 27 [size =\"5663744\"]\n  26 [size=\"81334272\", alpha=\"0.01\", expect_size=\"40667136\"] \n  26 -> 28 [size =\"40667136\"]\n  26 -> 29 [size =\"40667136\"]\n  27 [size=\"73383936\", alpha=\"0.05\", expect_size=\"36691968\"] \n  27 -> 28 [size =\"36691968\"]\n  27 -> 29 [size =\"36691968\"]\n  28 [size=\"77223936\", alpha=\"0.19\", expect_size=\"38611968\"] \n  28 -> 30 [size =\"38611968\"]\n  29 [size=\"50663424\", alpha=\"0.16\", expect_size=\"25331712\"] \n  29 -> 30 [size =\"25331712\"]\n  30 [size=\"42129408\", alpha=\"0.11\", expect_size=\"21064704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33747627\", alpha=\"0.03\", expect_size=\"10124288\"] \n  1 -> 11 [size =\"10124288\"]\n  1 -> 15 [size =\"10124288\"]\n  1 -> 16 [size =\"10124288\"]\n  1 -> 18 [size =\"10124288\"]\n  2 [size=\"156416000\", alpha=\"0.04\", expect_size=\"46924800\"] \n  2 -> 12 [size =\"46924800\"]\n  2 -> 13 [size =\"46924800\"]\n  2 -> 14 [size =\"46924800\"]\n  2 -> 16 [size =\"46924800\"]\n  2 -> 17 [size =\"46924800\"]\n  2 -> 18 [size =\"46924800\"]\n  3 [size=\"28955307\", alpha=\"0.16\", expect_size=\"8686592\"] \n  3 -> 10 [size =\"8686592\"]\n  3 -> 11 [size =\"8686592\"]\n  3 -> 12 [size =\"8686592\"]\n  3 -> 13 [size =\"8686592\"]\n  3 -> 15 [size =\"8686592\"]\n  3 -> 18 [size =\"8686592\"]\n  4 [size=\"26200747\", alpha=\"0.09\", expect_size=\"7860224\"] \n  4 -> 10 [size =\"7860224\"]\n  4 -> 11 [size =\"7860224\"]\n  4 -> 13 [size =\"7860224\"]\n  4 -> 15 [size =\"7860224\"]\n  4 -> 16 [size =\"7860224\"]\n  4 -> 18 [size =\"7860224\"]\n  5 [size=\"115087360\", alpha=\"0.14\", expect_size=\"34526208\"] \n  5 -> 11 [size =\"34526208\"]\n  5 -> 12 [size =\"34526208\"]\n  5 -> 16 [size =\"34526208\"]\n  5 -> 17 [size =\"34526208\"]\n  6 [size=\"50909867\", alpha=\"0.15\", expect_size=\"15272960\"] \n  6 -> 11 [size =\"15272960\"]\n  6 -> 12 [size =\"15272960\"]\n  6 -> 13 [size =\"15272960\"]\n  6 -> 17 [size =\"15272960\"]\n  7 [size=\"141168640\", alpha=\"0.02\", expect_size=\"42350592\"] \n  7 -> 11 [size =\"42350592\"]\n  7 -> 12 [size =\"42350592\"]\n  7 -> 13 [size =\"42350592\"]\n  7 -> 18 [size =\"42350592\"]\n  8 [size=\"85920427\", alpha=\"0.17\", expect_size=\"25776128\"] \n  8 -> 11 [size =\"25776128\"]\n  8 -> 13 [size =\"25776128\"]\n  8 -> 16 [size =\"25776128\"]\n  8 -> 18 [size =\"25776128\"]\n  9 [size=\"56692053\", alpha=\"0.06\", expect_size=\"17007616\"] \n  9 -> 11 [size =\"17007616\"]\n  9 -> 15 [size =\"17007616\"]\n  9 -> 16 [size =\"17007616\"]\n  9 -> 17 [size =\"17007616\"]\n  9 -> 18 [size =\"17007616\"]\n  10 [size=\"104925867\", alpha=\"0.05\", expect_size=\"31477760\"] \n  10 -> 19 [size =\"31477760\"]\n  10 -> 20 [size =\"31477760\"]\n  10 -> 21 [size =\"31477760\"]\n  10 -> 22 [size =\"31477760\"]\n  10 -> 23 [size =\"31477760\"]\n  10 -> 26 [size =\"31477760\"]\n  10 -> 28 [size =\"31477760\"]\n  11 [size=\"48544427\", alpha=\"0.04\", expect_size=\"14563328\"] \n  11 -> 19 [size =\"14563328\"]\n  11 -> 20 [size =\"14563328\"]\n  11 -> 23 [size =\"14563328\"]\n  11 -> 26 [size =\"14563328\"]\n  12 [size=\"75086507\", alpha=\"0.16\", expect_size=\"22525952\"] \n  12 -> 19 [size =\"22525952\"]\n  12 -> 20 [size =\"22525952\"]\n  12 -> 21 [size =\"22525952\"]\n  12 -> 23 [size =\"22525952\"]\n  13 [size=\"109240320\", alpha=\"0.07\", expect_size=\"32772096\"] \n  13 -> 19 [size =\"32772096\"]\n  13 -> 20 [size =\"32772096\"]\n  13 -> 22 [size =\"32772096\"]\n  13 -> 24 [size =\"32772096\"]\n  13 -> 25 [size =\"32772096\"]\n  14 [size=\"79281493\", alpha=\"0.11\", expect_size=\"23784448\"] \n  14 -> 19 [size =\"23784448\"]\n  14 -> 20 [size =\"23784448\"]\n  14 -> 22 [size =\"23784448\"]\n  14 -> 23 [size =\"23784448\"]\n  14 -> 24 [size =\"23784448\"]\n  14 -> 25 [size =\"23784448\"]\n  14 -> 26 [size =\"23784448\"]\n  14 -> 27 [size =\"23784448\"]\n  15 [size=\"146657280\", alpha=\"0.11\", expect_size=\"43997184\"] \n  15 -> 20 [size =\"43997184\"]\n  15 -> 20 [size =\"43997184\"]\n  15 -> 21 [size =\"43997184\"]\n  15 -> 22 [size =\"43997184\"]\n  15 -> 25 [size =\"43997184\"]\n  16 [size=\"96856747\", alpha=\"0.01\", expect_size=\"29057024\"] \n  16 -> 19 [size =\"29057024\"]\n  16 -> 20 [size =\"29057024\"]\n  16 -> 21 [size =\"29057024\"]\n  16 -> 23 [size =\"29057024\"]\n  16 -> 25 [size =\"29057024\"]\n  16 -> 26 [size =\"29057024\"]\n  16 -> 28 [size =\"29057024\"]\n  17 [size=\"55033173\", alpha=\"0.03\", expect_size=\"16509952\"] \n  17 -> 19 [size =\"16509952\"]\n  17 -> 20 [size =\"16509952\"]\n  17 -> 21 [size =\"16509952\"]\n  17 -> 23 [size =\"16509952\"]\n  17 -> 25 [size =\"16509952\"]\n  17 -> 28 [size =\"16509952\"]\n  17 -> 28 [size =\"16509952\"]\n  18 [size=\"73417387\", alpha=\"0.15\", expect_size=\"22025216\"] \n  18 -> 19 [size =\"22025216\"]\n  18 -> 28 [size =\"22025216\"]\n  19 [size=\"48325973\", alpha=\"0.13\", expect_size=\"14497792\"] \n  19 -> 29 [size =\"14497792\"]\n  19 -> 30 [size =\"14497792\"]\n  20 [size=\"94914560\", alpha=\"0.01\", expect_size=\"28474368\"] \n  20 -> 29 [size =\"28474368\"]\n  20 -> 30 [size =\"28474368\"]\n  21 [size=\"133614933\", alpha=\"0.10\", expect_size=\"40084480\"] \n  21 -> 29 [size =\"40084480\"]\n  21 -> 30 [size =\"40084480\"]\n  22 [size=\"162426880\", alpha=\"0.17\", expect_size=\"48728064\"] \n  22 -> 29 [size =\"48728064\"]\n  22 -> 30 [size =\"48728064\"]\n  23 [size=\"132048213\", alpha=\"0.05\", expect_size=\"39614464\"] \n  23 -> 29 [size =\"39614464\"]\n  24 [size=\"33406293\", alpha=\"0.14\", expect_size=\"10021888\"] \n  24 -> 29 [size =\"10021888\"]\n  24 -> 30 [size =\"10021888\"]\n  25 [size=\"117521067\", alpha=\"0.16\", expect_size=\"35256320\"] \n  25 -> 29 [size =\"35256320\"]\n  25 -> 30 [size =\"35256320\"]\n  26 [size=\"43690667\", alpha=\"0.02\", expect_size=\"13107200\"] \n  27 [size=\"50909867\", alpha=\"0.04\", expect_size=\"15272960\"] \n  27 -> 29 [size =\"15272960\"]\n  27 -> 30 [size =\"15272960\"]\n  28 [size=\"77318827\", alpha=\"0.15\", expect_size=\"23195648\"] \n  28 -> 29 [size =\"23195648\"]\n  29 [size=\"40519680\", alpha=\"0.10\", expect_size=\"12155904\"] \n  30 [size=\"146414933\", alpha=\"0.17\", expect_size=\"43924480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58071040\", alpha=\"0.20\", expect_size=\"23228416\"] \n  1 -> 14 [size =\"23228416\"]\n  1 -> 14 [size =\"23228416\"]\n  2 [size=\"100106240\", alpha=\"0.12\", expect_size=\"40042496\"] \n  2 -> 12 [size =\"40042496\"]\n  2 -> 15 [size =\"40042496\"]\n  2 -> 16 [size =\"40042496\"]\n  2 -> 17 [size =\"40042496\"]\n  3 [size=\"59479040\", alpha=\"0.03\", expect_size=\"23791616\"] \n  3 -> 15 [size =\"23791616\"]\n  3 -> 16 [size =\"23791616\"]\n  3 -> 17 [size =\"23791616\"]\n  4 [size=\"89674240\", alpha=\"0.20\", expect_size=\"35869696\"] \n  4 -> 14 [size =\"35869696\"]\n  4 -> 16 [size =\"35869696\"]\n  5 [size=\"16532480\", alpha=\"0.01\", expect_size=\"6612992\"] \n  5 -> 12 [size =\"6612992\"]\n  5 -> 14 [size =\"6612992\"]\n  5 -> 16 [size =\"6612992\"]\n  5 -> 17 [size =\"6612992\"]\n  6 [size=\"32642560\", alpha=\"0.04\", expect_size=\"13057024\"] \n  6 -> 13 [size =\"13057024\"]\n  6 -> 14 [size =\"13057024\"]\n  6 -> 16 [size =\"13057024\"]\n  7 [size=\"56860160\", alpha=\"0.18\", expect_size=\"22744064\"] \n  7 -> 11 [size =\"22744064\"]\n  7 -> 13 [size =\"22744064\"]\n  7 -> 15 [size =\"22744064\"]\n  8 [size=\"16133120\", alpha=\"0.09\", expect_size=\"6453248\"] \n  8 -> 11 [size =\"6453248\"]\n  8 -> 13 [size =\"6453248\"]\n  8 -> 15 [size =\"6453248\"]\n  9 [size=\"77335040\", alpha=\"0.19\", expect_size=\"30934016\"] \n  9 -> 13 [size =\"30934016\"]\n  9 -> 14 [size =\"30934016\"]\n  9 -> 16 [size =\"30934016\"]\n  10 [size=\"109939200\", alpha=\"0.05\", expect_size=\"43975680\"] \n  10 -> 13 [size =\"43975680\"]\n  10 -> 14 [size =\"43975680\"]\n  10 -> 16 [size =\"43975680\"]\n  10 -> 17 [size =\"43975680\"]\n  11 [size=\"47877120\", alpha=\"0.13\", expect_size=\"19150848\"] \n  11 -> 18 [size =\"19150848\"]\n  11 -> 22 [size =\"19150848\"]\n  12 [size=\"45081600\", alpha=\"0.01\", expect_size=\"18032640\"] \n  12 -> 18 [size =\"18032640\"]\n  12 -> 22 [size =\"18032640\"]\n  13 [size=\"115328000\", alpha=\"0.13\", expect_size=\"46131200\"] \n  13 -> 18 [size =\"46131200\"]\n  13 -> 19 [size =\"46131200\"]\n  13 -> 21 [size =\"46131200\"]\n  13 -> 22 [size =\"46131200\"]\n  14 [size=\"16632320\", alpha=\"0.00\", expect_size=\"6652928\"] \n  14 -> 18 [size =\"6652928\"]\n  14 -> 21 [size =\"6652928\"]\n  15 [size=\"15349760\", alpha=\"0.02\", expect_size=\"6139904\"] \n  15 -> 20 [size =\"6139904\"]\n  15 -> 21 [size =\"6139904\"]\n  15 -> 22 [size =\"6139904\"]\n  16 [size=\"20392960\", alpha=\"0.09\", expect_size=\"8157184\"] \n  16 -> 20 [size =\"8157184\"]\n  17 [size=\"43985920\", alpha=\"0.00\", expect_size=\"17594368\"] \n  17 -> 18 [size =\"17594368\"]\n  17 -> 20 [size =\"17594368\"]\n  18 [size=\"32599040\", alpha=\"0.15\", expect_size=\"13039616\"] \n  18 -> 23 [size =\"13039616\"]\n  18 -> 25 [size =\"13039616\"]\n  18 -> 27 [size =\"13039616\"]\n  18 -> 28 [size =\"13039616\"]\n  19 [size=\"85227520\", alpha=\"0.16\", expect_size=\"34091008\"] \n  19 -> 24 [size =\"34091008\"]\n  19 -> 26 [size =\"34091008\"]\n  20 [size=\"81920000\", alpha=\"0.18\", expect_size=\"32768000\"] \n  20 -> 26 [size =\"32768000\"]\n  20 -> 29 [size =\"32768000\"]\n  21 [size=\"112186880\", alpha=\"0.08\", expect_size=\"44874752\"] \n  21 -> 26 [size =\"44874752\"]\n  21 -> 29 [size =\"44874752\"]\n  22 [size=\"70991360\", alpha=\"0.12\", expect_size=\"28396544\"] \n  23 [size=\"75865600\", alpha=\"0.04\", expect_size=\"30346240\"] \n  24 [size=\"35548160\", alpha=\"0.09\", expect_size=\"14219264\"] \n  25 [size=\"36902400\", alpha=\"0.15\", expect_size=\"14760960\"] \n  26 [size=\"47285760\", alpha=\"0.04\", expect_size=\"18914304\"] \n  27 [size=\"99015680\", alpha=\"0.01\", expect_size=\"39606272\"] \n  27 -> 30 [size =\"39606272\"]\n  28 [size=\"101834240\", alpha=\"0.18\", expect_size=\"40733696\"] \n  29 [size=\"74265600\", alpha=\"0.06\", expect_size=\"29706240\"] \n  30 [size=\"51532800\", alpha=\"0.10\", expect_size=\"20613120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145455787\", alpha=\"0.02\", expect_size=\"43636736\"] \n  1 -> 2 [size =\"43636736\"]\n  1 -> 3 [size =\"43636736\"]\n  2 [size=\"35853653\", alpha=\"0.07\", expect_size=\"10756096\"] \n  2 -> 4 [size =\"10756096\"]\n  2 -> 5 [size =\"10756096\"]\n  3 [size=\"88142507\", alpha=\"0.13\", expect_size=\"26442752\"] \n  3 -> 4 [size =\"26442752\"]\n  3 -> 5 [size =\"26442752\"]\n  4 [size=\"45264213\", alpha=\"0.18\", expect_size=\"13579264\"] \n  4 -> 6 [size =\"13579264\"]\n  5 [size=\"140110507\", alpha=\"0.06\", expect_size=\"42033152\"] \n  5 -> 6 [size =\"42033152\"]\n  6 [size=\"36696747\", alpha=\"0.08\", expect_size=\"11009024\"] \n  6 -> 7 [size =\"11009024\"]\n  7 [size=\"125883733\", alpha=\"0.10\", expect_size=\"37765120\"] \n  7 -> 8 [size =\"37765120\"]\n  8 [size=\"144011947\", alpha=\"0.08\", expect_size=\"43203584\"] \n  8 -> 9 [size =\"43203584\"]\n  9 [size=\"107520000\", alpha=\"0.14\", expect_size=\"32256000\"] \n  9 -> 10 [size =\"32256000\"]\n  9 -> 11 [size =\"32256000\"]\n  10 [size=\"84514133\", alpha=\"0.13\", expect_size=\"25354240\"] \n  10 -> 12 [size =\"25354240\"]\n  11 [size=\"63795200\", alpha=\"0.02\", expect_size=\"19138560\"] \n  11 -> 12 [size =\"19138560\"]\n  12 [size=\"80790187\", alpha=\"0.03\", expect_size=\"24237056\"] \n  12 -> 13 [size =\"24237056\"]\n  13 [size=\"138240000\", alpha=\"0.16\", expect_size=\"41472000\"] \n  13 -> 14 [size =\"41472000\"]\n  14 [size=\"80885760\", alpha=\"0.02\", expect_size=\"24265728\"] \n  14 -> 15 [size =\"24265728\"]\n  14 -> 16 [size =\"24265728\"]\n  15 [size=\"61866667\", alpha=\"0.01\", expect_size=\"18560000\"] \n  15 -> 17 [size =\"18560000\"]\n  16 [size=\"109905920\", alpha=\"0.06\", expect_size=\"32971776\"] \n  16 -> 17 [size =\"32971776\"]\n  16 -> 18 [size =\"32971776\"]\n  17 [size=\"19237547\", alpha=\"0.19\", expect_size=\"5771264\"] \n  17 -> 19 [size =\"5771264\"]\n  17 -> 20 [size =\"5771264\"]\n  18 [size=\"95641600\", alpha=\"0.05\", expect_size=\"28692480\"] \n  18 -> 19 [size =\"28692480\"]\n  18 -> 20 [size =\"28692480\"]\n  19 [size=\"159856640\", alpha=\"0.05\", expect_size=\"47956992\"] \n  19 -> 21 [size =\"47956992\"]\n  19 -> 22 [size =\"47956992\"]\n  20 [size=\"110223360\", alpha=\"0.06\", expect_size=\"33067008\"] \n  20 -> 21 [size =\"33067008\"]\n  20 -> 22 [size =\"33067008\"]\n  21 [size=\"55480320\", alpha=\"0.03\", expect_size=\"16644096\"] \n  21 -> 23 [size =\"16644096\"]\n  22 [size=\"73799680\", alpha=\"0.02\", expect_size=\"22139904\"] \n  22 -> 23 [size =\"22139904\"]\n  23 [size=\"100198400\", alpha=\"0.10\", expect_size=\"30059520\"] \n  23 -> 24 [size =\"30059520\"]\n  23 -> 25 [size =\"30059520\"]\n  24 [size=\"70208853\", alpha=\"0.02\", expect_size=\"21062656\"] \n  24 -> 26 [size =\"21062656\"]\n  25 [size=\"84677973\", alpha=\"0.10\", expect_size=\"25403392\"] \n  25 -> 26 [size =\"25403392\"]\n  26 [size=\"90787840\", alpha=\"0.20\", expect_size=\"27236352\"] \n  26 -> 27 [size =\"27236352\"]\n  26 -> 28 [size =\"27236352\"]\n  27 [size=\"139605333\", alpha=\"0.03\", expect_size=\"41881600\"] \n  27 -> 30 [size =\"41881600\"]\n  28 [size=\"129000107\", alpha=\"0.03\", expect_size=\"38700032\"] \n  28 -> 29 [size =\"38700032\"]\n  28 -> 30 [size =\"38700032\"]\n  29 [size=\"172107093\", alpha=\"0.14\", expect_size=\"51632128\"] \n  30 [size=\"54234453\", alpha=\"0.14\", expect_size=\"16270336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90332160\", alpha=\"0.05\", expect_size=\"36132864\"] \n  1 -> 10 [size =\"36132864\"]\n  1 -> 11 [size =\"36132864\"]\n  2 [size=\"87575040\", alpha=\"0.04\", expect_size=\"35030016\"] \n  2 -> 11 [size =\"35030016\"]\n  3 [size=\"115504640\", alpha=\"0.14\", expect_size=\"46201856\"] \n  3 -> 11 [size =\"46201856\"]\n  4 [size=\"38210560\", alpha=\"0.07\", expect_size=\"15284224\"] \n  4 -> 8 [size =\"15284224\"]\n  4 -> 9 [size =\"15284224\"]\n  4 -> 10 [size =\"15284224\"]\n  5 [size=\"35169280\", alpha=\"0.01\", expect_size=\"14067712\"] \n  5 -> 9 [size =\"14067712\"]\n  5 -> 9 [size =\"14067712\"]\n  6 [size=\"14026240\", alpha=\"0.00\", expect_size=\"5610496\"] \n  6 -> 9 [size =\"5610496\"]\n  6 -> 10 [size =\"5610496\"]\n  6 -> 11 [size =\"5610496\"]\n  7 [size=\"109465600\", alpha=\"0.00\", expect_size=\"43786240\"] \n  7 -> 9 [size =\"43786240\"]\n  7 -> 10 [size =\"43786240\"]\n  7 -> 11 [size =\"43786240\"]\n  8 [size=\"108894720\", alpha=\"0.10\", expect_size=\"43557888\"] \n  8 -> 12 [size =\"43557888\"]\n  8 -> 13 [size =\"43557888\"]\n  8 -> 14 [size =\"43557888\"]\n  9 [size=\"104035840\", alpha=\"0.15\", expect_size=\"41614336\"] \n  9 -> 13 [size =\"41614336\"]\n  9 -> 14 [size =\"41614336\"]\n  10 [size=\"111644160\", alpha=\"0.01\", expect_size=\"44657664\"] \n  10 -> 13 [size =\"44657664\"]\n  10 -> 14 [size =\"44657664\"]\n  11 [size=\"92503040\", alpha=\"0.10\", expect_size=\"37001216\"] \n  11 -> 13 [size =\"37001216\"]\n  11 -> 14 [size =\"37001216\"]\n  12 [size=\"119480320\", alpha=\"0.11\", expect_size=\"47792128\"] \n  12 -> 15 [size =\"47792128\"]\n  12 -> 16 [size =\"47792128\"]\n  13 [size=\"27660800\", alpha=\"0.03\", expect_size=\"11064320\"] \n  13 -> 15 [size =\"11064320\"]\n  14 [size=\"109219840\", alpha=\"0.05\", expect_size=\"43687936\"] \n  14 -> 15 [size =\"43687936\"]\n  14 -> 16 [size =\"43687936\"]\n  15 [size=\"32445440\", alpha=\"0.14\", expect_size=\"12978176\"] \n  15 -> 17 [size =\"12978176\"]\n  15 -> 18 [size =\"12978176\"]\n  15 -> 19 [size =\"12978176\"]\n  15 -> 20 [size =\"12978176\"]\n  15 -> 21 [size =\"12978176\"]\n  15 -> 22 [size =\"12978176\"]\n  16 [size=\"40391680\", alpha=\"0.01\", expect_size=\"16156672\"] \n  16 -> 17 [size =\"16156672\"]\n  16 -> 18 [size =\"16156672\"]\n  16 -> 19 [size =\"16156672\"]\n  16 -> 20 [size =\"16156672\"]\n  16 -> 21 [size =\"16156672\"]\n  16 -> 22 [size =\"16156672\"]\n  17 [size=\"40857600\", alpha=\"0.18\", expect_size=\"16343040\"] \n  17 -> 23 [size =\"16343040\"]\n  18 [size=\"43765760\", alpha=\"0.14\", expect_size=\"17506304\"] \n  18 -> 23 [size =\"17506304\"]\n  19 [size=\"103383040\", alpha=\"0.18\", expect_size=\"41353216\"] \n  19 -> 24 [size =\"41353216\"]\n  19 -> 25 [size =\"41353216\"]\n  20 [size=\"76608000\", alpha=\"0.17\", expect_size=\"30643200\"] \n  20 -> 24 [size =\"30643200\"]\n  20 -> 25 [size =\"30643200\"]\n  21 [size=\"80998400\", alpha=\"0.09\", expect_size=\"32399360\"] \n  21 -> 23 [size =\"32399360\"]\n  21 -> 24 [size =\"32399360\"]\n  22 [size=\"21575680\", alpha=\"0.13\", expect_size=\"8630272\"] \n  22 -> 25 [size =\"8630272\"]\n  23 [size=\"84846080\", alpha=\"0.15\", expect_size=\"33938432\"] \n  23 -> 28 [size =\"33938432\"]\n  23 -> 29 [size =\"33938432\"]\n  24 [size=\"102656000\", alpha=\"0.01\", expect_size=\"41062400\"] \n  24 -> 26 [size =\"41062400\"]\n  24 -> 28 [size =\"41062400\"]\n  24 -> 29 [size =\"41062400\"]\n  24 -> 30 [size =\"41062400\"]\n  25 [size=\"130478080\", alpha=\"0.11\", expect_size=\"52191232\"] \n  25 -> 27 [size =\"52191232\"]\n  25 -> 28 [size =\"52191232\"]\n  25 -> 29 [size =\"52191232\"]\n  25 -> 30 [size =\"52191232\"]\n  26 [size=\"93813760\", alpha=\"0.00\", expect_size=\"37525504\"] \n  27 [size=\"98798080\", alpha=\"0.07\", expect_size=\"39519232\"] \n  28 [size=\"87459840\", alpha=\"0.09\", expect_size=\"34983936\"] \n  29 [size=\"52026880\", alpha=\"0.07\", expect_size=\"20810752\"] \n  30 [size=\"42931200\", alpha=\"0.02\", expect_size=\"17172480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39910400\", alpha=\"0.03\", expect_size=\"15964160\"] \n  1 -> 2 [size =\"15964160\"]\n  2 [size=\"24616960\", alpha=\"0.05\", expect_size=\"9846784\"] \n  2 -> 3 [size =\"9846784\"]\n  3 [size=\"107514880\", alpha=\"0.20\", expect_size=\"43005952\"] \n  3 -> 4 [size =\"43005952\"]\n  4 [size=\"115343360\", alpha=\"0.03\", expect_size=\"46137344\"] \n  4 -> 5 [size =\"46137344\"]\n  5 [size=\"39795200\", alpha=\"0.02\", expect_size=\"15918080\"] \n  5 -> 6 [size =\"15918080\"]\n  6 [size=\"109724160\", alpha=\"0.04\", expect_size=\"43889664\"] \n  6 -> 7 [size =\"43889664\"]\n  7 [size=\"122414080\", alpha=\"0.04\", expect_size=\"48965632\"] \n  7 -> 8 [size =\"48965632\"]\n  8 [size=\"74204160\", alpha=\"0.12\", expect_size=\"29681664\"] \n  8 -> 9 [size =\"29681664\"]\n  9 [size=\"84533760\", alpha=\"0.07\", expect_size=\"33813504\"] \n  9 -> 10 [size =\"33813504\"]\n  10 [size=\"57676800\", alpha=\"0.17\", expect_size=\"23070720\"] \n  10 -> 11 [size =\"23070720\"]\n  11 [size=\"47462400\", alpha=\"0.11\", expect_size=\"18984960\"] \n  11 -> 12 [size =\"18984960\"]\n  12 [size=\"67015680\", alpha=\"0.18\", expect_size=\"26806272\"] \n  12 -> 13 [size =\"26806272\"]\n  13 [size=\"95436800\", alpha=\"0.07\", expect_size=\"38174720\"] \n  13 -> 14 [size =\"38174720\"]\n  14 [size=\"93560320\", alpha=\"0.13\", expect_size=\"37424128\"] \n  14 -> 15 [size =\"37424128\"]\n  15 [size=\"109207040\", alpha=\"0.00\", expect_size=\"43682816\"] \n  15 -> 16 [size =\"43682816\"]\n  16 [size=\"121287680\", alpha=\"0.09\", expect_size=\"48515072\"] \n  16 -> 17 [size =\"48515072\"]\n  17 [size=\"24135680\", alpha=\"0.03\", expect_size=\"9654272\"] \n  17 -> 18 [size =\"9654272\"]\n  18 [size=\"45952000\", alpha=\"0.10\", expect_size=\"18380800\"] \n  18 -> 19 [size =\"18380800\"]\n  19 [size=\"116247040\", alpha=\"0.17\", expect_size=\"46498816\"] \n  19 -> 20 [size =\"46498816\"]\n  20 [size=\"41753600\", alpha=\"0.01\", expect_size=\"16701440\"] \n  20 -> 21 [size =\"16701440\"]\n  21 [size=\"25497600\", alpha=\"0.10\", expect_size=\"10199040\"] \n  21 -> 22 [size =\"10199040\"]\n  22 [size=\"88099840\", alpha=\"0.01\", expect_size=\"35239936\"] \n  22 -> 23 [size =\"35239936\"]\n  23 [size=\"76638720\", alpha=\"0.08\", expect_size=\"30655488\"] \n  23 -> 24 [size =\"30655488\"]\n  24 [size=\"115970560\", alpha=\"0.12\", expect_size=\"46388224\"] \n  24 -> 25 [size =\"46388224\"]\n  25 [size=\"75883520\", alpha=\"0.01\", expect_size=\"30353408\"] \n  25 -> 26 [size =\"30353408\"]\n  26 [size=\"76922880\", alpha=\"0.06\", expect_size=\"30769152\"] \n  26 -> 27 [size =\"30769152\"]\n  27 [size=\"13803520\", alpha=\"0.10\", expect_size=\"5521408\"] \n  27 -> 28 [size =\"5521408\"]\n  28 [size=\"31820800\", alpha=\"0.04\", expect_size=\"12728320\"] \n  28 -> 29 [size =\"12728320\"]\n  29 [size=\"92136960\", alpha=\"0.10\", expect_size=\"36854784\"] \n  29 -> 30 [size =\"36854784\"]\n  30 [size=\"71682560\", alpha=\"0.04\", expect_size=\"28673024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52451328\", alpha=\"0.16\", expect_size=\"26225664\"] \n  1 -> 11 [size =\"26225664\"]\n  1 -> 12 [size =\"26225664\"]\n  1 -> 15 [size =\"26225664\"]\n  1 -> 17 [size =\"26225664\"]\n  1 -> 18 [size =\"26225664\"]\n  2 [size=\"89264128\", alpha=\"0.11\", expect_size=\"44632064\"] \n  2 -> 11 [size =\"44632064\"]\n  2 -> 12 [size =\"44632064\"]\n  2 -> 16 [size =\"44632064\"]\n  2 -> 19 [size =\"44632064\"]\n  3 [size=\"26449920\", alpha=\"0.07\", expect_size=\"13224960\"] \n  3 -> 15 [size =\"13224960\"]\n  3 -> 16 [size =\"13224960\"]\n  3 -> 18 [size =\"13224960\"]\n  4 [size=\"17580032\", alpha=\"0.01\", expect_size=\"8790016\"] \n  4 -> 12 [size =\"8790016\"]\n  4 -> 13 [size =\"8790016\"]\n  4 -> 14 [size =\"8790016\"]\n  4 -> 15 [size =\"8790016\"]\n  4 -> 16 [size =\"8790016\"]\n  4 -> 17 [size =\"8790016\"]\n  4 -> 19 [size =\"8790016\"]\n  5 [size=\"99127296\", alpha=\"0.12\", expect_size=\"49563648\"] \n  5 -> 12 [size =\"49563648\"]\n  5 -> 15 [size =\"49563648\"]\n  5 -> 17 [size =\"49563648\"]\n  5 -> 19 [size =\"49563648\"]\n  6 [size=\"89237504\", alpha=\"0.06\", expect_size=\"44618752\"] \n  6 -> 11 [size =\"44618752\"]\n  6 -> 12 [size =\"44618752\"]\n  6 -> 14 [size =\"44618752\"]\n  6 -> 16 [size =\"44618752\"]\n  6 -> 17 [size =\"44618752\"]\n  6 -> 19 [size =\"44618752\"]\n  7 [size=\"87795712\", alpha=\"0.18\", expect_size=\"43897856\"] \n  7 -> 11 [size =\"43897856\"]\n  7 -> 12 [size =\"43897856\"]\n  7 -> 13 [size =\"43897856\"]\n  7 -> 15 [size =\"43897856\"]\n  7 -> 16 [size =\"43897856\"]\n  7 -> 17 [size =\"43897856\"]\n  7 -> 19 [size =\"43897856\"]\n  8 [size=\"79777792\", alpha=\"0.06\", expect_size=\"39888896\"] \n  8 -> 11 [size =\"39888896\"]\n  8 -> 15 [size =\"39888896\"]\n  8 -> 16 [size =\"39888896\"]\n  8 -> 17 [size =\"39888896\"]\n  8 -> 18 [size =\"39888896\"]\n  8 -> 19 [size =\"39888896\"]\n  8 -> 19 [size =\"39888896\"]\n  9 [size=\"74874880\", alpha=\"0.09\", expect_size=\"37437440\"] \n  9 -> 11 [size =\"37437440\"]\n  9 -> 12 [size =\"37437440\"]\n  9 -> 14 [size =\"37437440\"]\n  9 -> 15 [size =\"37437440\"]\n  9 -> 16 [size =\"37437440\"]\n  10 [size=\"64702464\", alpha=\"0.19\", expect_size=\"32351232\"] \n  10 -> 11 [size =\"32351232\"]\n  10 -> 12 [size =\"32351232\"]\n  10 -> 17 [size =\"32351232\"]\n  10 -> 18 [size =\"32351232\"]\n  10 -> 19 [size =\"32351232\"]\n  11 [size=\"97241088\", alpha=\"0.02\", expect_size=\"48620544\"] \n  11 -> 21 [size =\"48620544\"]\n  11 -> 22 [size =\"48620544\"]\n  11 -> 24 [size =\"48620544\"]\n  11 -> 28 [size =\"48620544\"]\n  11 -> 28 [size =\"48620544\"]\n  12 [size=\"76632064\", alpha=\"0.06\", expect_size=\"38316032\"] \n  12 -> 22 [size =\"38316032\"]\n  12 -> 27 [size =\"38316032\"]\n  13 [size=\"35784704\", alpha=\"0.09\", expect_size=\"17892352\"] \n  13 -> 24 [size =\"17892352\"]\n  13 -> 27 [size =\"17892352\"]\n  13 -> 28 [size =\"17892352\"]\n  14 [size=\"66611200\", alpha=\"0.01\", expect_size=\"33305600\"] \n  14 -> 24 [size =\"33305600\"]\n  14 -> 25 [size =\"33305600\"]\n  14 -> 26 [size =\"33305600\"]\n  15 [size=\"69406720\", alpha=\"0.14\", expect_size=\"34703360\"] \n  15 -> 21 [size =\"34703360\"]\n  15 -> 24 [size =\"34703360\"]\n  16 [size=\"33726464\", alpha=\"0.09\", expect_size=\"16863232\"] \n  16 -> 23 [size =\"16863232\"]\n  16 -> 24 [size =\"16863232\"]\n  16 -> 25 [size =\"16863232\"]\n  16 -> 28 [size =\"16863232\"]\n  17 [size=\"60555264\", alpha=\"0.15\", expect_size=\"30277632\"] \n  17 -> 22 [size =\"30277632\"]\n  17 -> 24 [size =\"30277632\"]\n  17 -> 25 [size =\"30277632\"]\n  17 -> 27 [size =\"30277632\"]\n  17 -> 28 [size =\"30277632\"]\n  18 [size=\"53229568\", alpha=\"0.09\", expect_size=\"26614784\"] \n  18 -> 22 [size =\"26614784\"]\n  18 -> 23 [size =\"26614784\"]\n  18 -> 24 [size =\"26614784\"]\n  18 -> 25 [size =\"26614784\"]\n  18 -> 27 [size =\"26614784\"]\n  19 [size=\"82182144\", alpha=\"0.10\", expect_size=\"41091072\"] \n  19 -> 20 [size =\"41091072\"]\n  19 -> 22 [size =\"41091072\"]\n  19 -> 24 [size =\"41091072\"]\n  19 -> 25 [size =\"41091072\"]\n  19 -> 28 [size =\"41091072\"]\n  20 [size=\"32129024\", alpha=\"0.13\", expect_size=\"16064512\"] \n  20 -> 29 [size =\"16064512\"]\n  21 [size=\"27197440\", alpha=\"0.05\", expect_size=\"13598720\"] \n  21 -> 29 [size =\"13598720\"]\n  22 [size=\"36173824\", alpha=\"0.13\", expect_size=\"18086912\"] \n  22 -> 29 [size =\"18086912\"]\n  23 [size=\"62226432\", alpha=\"0.04\", expect_size=\"31113216\"] \n  23 -> 29 [size =\"31113216\"]\n  23 -> 30 [size =\"31113216\"]\n  24 [size=\"11608064\", alpha=\"0.17\", expect_size=\"5804032\"] \n  24 -> 29 [size =\"5804032\"]\n  24 -> 30 [size =\"5804032\"]\n  25 [size=\"15822848\", alpha=\"0.09\", expect_size=\"7911424\"] \n  25 -> 29 [size =\"7911424\"]\n  25 -> 30 [size =\"7911424\"]\n  26 [size=\"80615424\", alpha=\"0.18\", expect_size=\"40307712\"] \n  26 -> 29 [size =\"40307712\"]\n  26 -> 30 [size =\"40307712\"]\n  27 [size=\"26767360\", alpha=\"0.03\", expect_size=\"13383680\"] \n  27 -> 29 [size =\"13383680\"]\n  28 [size=\"99151872\", alpha=\"0.02\", expect_size=\"49575936\"] \n  28 -> 29 [size =\"49575936\"]\n  28 -> 30 [size =\"49575936\"]\n  29 [size=\"48928768\", alpha=\"0.16\", expect_size=\"24464384\"] \n  30 [size=\"97916928\", alpha=\"0.01\", expect_size=\"48958464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86865920\", alpha=\"0.18\", expect_size=\"26059776\"] \n  1 -> 6 [size =\"26059776\"]\n  1 -> 8 [size =\"26059776\"]\n  2 [size=\"83503787\", alpha=\"0.06\", expect_size=\"25051136\"] \n  2 -> 6 [size =\"25051136\"]\n  2 -> 7 [size =\"25051136\"]\n  3 [size=\"109731840\", alpha=\"0.06\", expect_size=\"32919552\"] \n  3 -> 6 [size =\"32919552\"]\n  3 -> 7 [size =\"32919552\"]\n  3 -> 8 [size =\"32919552\"]\n  4 [size=\"43639467\", alpha=\"0.02\", expect_size=\"13091840\"] \n  4 -> 6 [size =\"13091840\"]\n  4 -> 8 [size =\"13091840\"]\n  5 [size=\"107328853\", alpha=\"0.11\", expect_size=\"32198656\"] \n  5 -> 6 [size =\"32198656\"]\n  6 [size=\"27787947\", alpha=\"0.02\", expect_size=\"8336384\"] \n  6 -> 9 [size =\"8336384\"]\n  6 -> 11 [size =\"8336384\"]\n  6 -> 12 [size =\"8336384\"]\n  6 -> 13 [size =\"8336384\"]\n  6 -> 15 [size =\"8336384\"]\n  7 [size=\"26658133\", alpha=\"0.01\", expect_size=\"7997440\"] \n  7 -> 9 [size =\"7997440\"]\n  7 -> 10 [size =\"7997440\"]\n  7 -> 13 [size =\"7997440\"]\n  7 -> 15 [size =\"7997440\"]\n  8 [size=\"140161707\", alpha=\"0.13\", expect_size=\"42048512\"] \n  8 -> 9 [size =\"42048512\"]\n  8 -> 10 [size =\"42048512\"]\n  8 -> 11 [size =\"42048512\"]\n  8 -> 12 [size =\"42048512\"]\n  8 -> 13 [size =\"42048512\"]\n  8 -> 14 [size =\"42048512\"]\n  8 -> 15 [size =\"42048512\"]\n  9 [size=\"20343467\", alpha=\"0.04\", expect_size=\"6103040\"] \n  9 -> 17 [size =\"6103040\"]\n  9 -> 18 [size =\"6103040\"]\n  9 -> 20 [size =\"6103040\"]\n  10 [size=\"70884693\", alpha=\"0.04\", expect_size=\"21265408\"] \n  10 -> 16 [size =\"21265408\"]\n  10 -> 19 [size =\"21265408\"]\n  11 [size=\"146612907\", alpha=\"0.13\", expect_size=\"43983872\"] \n  11 -> 19 [size =\"43983872\"]\n  11 -> 19 [size =\"43983872\"]\n  12 [size=\"134133760\", alpha=\"0.20\", expect_size=\"40240128\"] \n  12 -> 16 [size =\"40240128\"]\n  12 -> 18 [size =\"40240128\"]\n  12 -> 19 [size =\"40240128\"]\n  13 [size=\"24463360\", alpha=\"0.07\", expect_size=\"7339008\"] \n  13 -> 16 [size =\"7339008\"]\n  13 -> 18 [size =\"7339008\"]\n  13 -> 19 [size =\"7339008\"]\n  13 -> 20 [size =\"7339008\"]\n  14 [size=\"70283947\", alpha=\"0.11\", expect_size=\"21085184\"] \n  14 -> 16 [size =\"21085184\"]\n  14 -> 18 [size =\"21085184\"]\n  14 -> 19 [size =\"21085184\"]\n  14 -> 20 [size =\"21085184\"]\n  15 [size=\"85698560\", alpha=\"0.19\", expect_size=\"25709568\"] \n  15 -> 16 [size =\"25709568\"]\n  15 -> 19 [size =\"25709568\"]\n  16 [size=\"171980800\", alpha=\"0.02\", expect_size=\"51594240\"] \n  16 -> 22 [size =\"51594240\"]\n  16 -> 23 [size =\"51594240\"]\n  16 -> 24 [size =\"51594240\"]\n  17 [size=\"32764587\", alpha=\"0.16\", expect_size=\"9829376\"] \n  17 -> 23 [size =\"9829376\"]\n  17 -> 23 [size =\"9829376\"]\n  18 [size=\"37157547\", alpha=\"0.16\", expect_size=\"11147264\"] \n  18 -> 21 [size =\"11147264\"]\n  18 -> 22 [size =\"11147264\"]\n  18 -> 23 [size =\"11147264\"]\n  19 [size=\"140902400\", alpha=\"0.16\", expect_size=\"42270720\"] \n  19 -> 21 [size =\"42270720\"]\n  20 [size=\"169543680\", alpha=\"0.17\", expect_size=\"50863104\"] \n  20 -> 23 [size =\"50863104\"]\n  20 -> 24 [size =\"50863104\"]\n  21 [size=\"44578133\", alpha=\"0.06\", expect_size=\"13373440\"] \n  21 -> 25 [size =\"13373440\"]\n  22 [size=\"149596160\", alpha=\"0.03\", expect_size=\"44878848\"] \n  22 -> 25 [size =\"44878848\"]\n  23 [size=\"149592747\", alpha=\"0.12\", expect_size=\"44877824\"] \n  24 [size=\"43608747\", alpha=\"0.05\", expect_size=\"13082624\"] \n  24 -> 25 [size =\"13082624\"]\n  24 -> 26 [size =\"13082624\"]\n  25 [size=\"133495467\", alpha=\"0.09\", expect_size=\"40048640\"] \n  25 -> 27 [size =\"40048640\"]\n  25 -> 28 [size =\"40048640\"]\n  26 [size=\"122214400\", alpha=\"0.14\", expect_size=\"36664320\"] \n  26 -> 27 [size =\"36664320\"]\n  26 -> 28 [size =\"36664320\"]\n  27 [size=\"135372800\", alpha=\"0.01\", expect_size=\"40611840\"] \n  27 -> 29 [size =\"40611840\"]\n  27 -> 30 [size =\"40611840\"]\n  28 [size=\"100676267\", alpha=\"0.03\", expect_size=\"30202880\"] \n  28 -> 29 [size =\"30202880\"]\n  28 -> 30 [size =\"30202880\"]\n  29 [size=\"70973440\", alpha=\"0.05\", expect_size=\"21292032\"] \n  30 [size=\"41840640\", alpha=\"0.14\", expect_size=\"12552192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35832320\", alpha=\"0.12\", expect_size=\"14332928\"] \n  1 -> 2 [size =\"14332928\"]\n  2 [size=\"104445440\", alpha=\"0.18\", expect_size=\"41778176\"] \n  2 -> 3 [size =\"41778176\"]\n  3 [size=\"55718400\", alpha=\"0.16\", expect_size=\"22287360\"] \n  3 -> 4 [size =\"22287360\"]\n  4 [size=\"30886400\", alpha=\"0.20\", expect_size=\"12354560\"] \n  4 -> 5 [size =\"12354560\"]\n  5 [size=\"31902720\", alpha=\"0.03\", expect_size=\"12761088\"] \n  5 -> 6 [size =\"12761088\"]\n  6 [size=\"39096320\", alpha=\"0.09\", expect_size=\"15638528\"] \n  6 -> 7 [size =\"15638528\"]\n  7 [size=\"58767360\", alpha=\"0.03\", expect_size=\"23506944\"] \n  7 -> 8 [size =\"23506944\"]\n  8 [size=\"44994560\", alpha=\"0.17\", expect_size=\"17997824\"] \n  8 -> 9 [size =\"17997824\"]\n  9 [size=\"112811520\", alpha=\"0.11\", expect_size=\"45124608\"] \n  9 -> 10 [size =\"45124608\"]\n  10 [size=\"67345920\", alpha=\"0.18\", expect_size=\"26938368\"] \n  10 -> 11 [size =\"26938368\"]\n  11 [size=\"28687360\", alpha=\"0.17\", expect_size=\"11474944\"] \n  11 -> 12 [size =\"11474944\"]\n  12 [size=\"96768000\", alpha=\"0.16\", expect_size=\"38707200\"] \n  12 -> 13 [size =\"38707200\"]\n  13 [size=\"83627520\", alpha=\"0.06\", expect_size=\"33451008\"] \n  13 -> 14 [size =\"33451008\"]\n  14 [size=\"61434880\", alpha=\"0.19\", expect_size=\"24573952\"] \n  14 -> 15 [size =\"24573952\"]\n  15 [size=\"61214720\", alpha=\"0.06\", expect_size=\"24485888\"] \n  15 -> 16 [size =\"24485888\"]\n  16 [size=\"81820160\", alpha=\"0.01\", expect_size=\"32728064\"] \n  16 -> 17 [size =\"32728064\"]\n  17 [size=\"19832320\", alpha=\"0.16\", expect_size=\"7932928\"] \n  17 -> 18 [size =\"7932928\"]\n  18 [size=\"35112960\", alpha=\"0.19\", expect_size=\"14045184\"] \n  18 -> 19 [size =\"14045184\"]\n  19 [size=\"17482240\", alpha=\"0.10\", expect_size=\"6992896\"] \n  19 -> 20 [size =\"6992896\"]\n  20 [size=\"81036800\", alpha=\"0.04\", expect_size=\"32414720\"] \n  20 -> 21 [size =\"32414720\"]\n  21 [size=\"69291520\", alpha=\"0.02\", expect_size=\"27716608\"] \n  21 -> 22 [size =\"27716608\"]\n  22 [size=\"53918720\", alpha=\"0.16\", expect_size=\"21567488\"] \n  22 -> 23 [size =\"21567488\"]\n  23 [size=\"32954880\", alpha=\"0.17\", expect_size=\"13181952\"] \n  23 -> 24 [size =\"13181952\"]\n  24 [size=\"65569280\", alpha=\"0.01\", expect_size=\"26227712\"] \n  24 -> 25 [size =\"26227712\"]\n  25 [size=\"61404160\", alpha=\"0.08\", expect_size=\"24561664\"] \n  25 -> 26 [size =\"24561664\"]\n  26 [size=\"94320640\", alpha=\"0.19\", expect_size=\"37728256\"] \n  26 -> 27 [size =\"37728256\"]\n  27 [size=\"98874880\", alpha=\"0.18\", expect_size=\"39549952\"] \n  27 -> 28 [size =\"39549952\"]\n  28 [size=\"75530240\", alpha=\"0.03\", expect_size=\"30212096\"] \n  28 -> 29 [size =\"30212096\"]\n  29 [size=\"69995520\", alpha=\"0.05\", expect_size=\"27998208\"] \n  29 -> 30 [size =\"27998208\"]\n  30 [size=\"126535680\", alpha=\"0.15\", expect_size=\"50614272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11640832\", alpha=\"0.18\", expect_size=\"5820416\"] \n  1 -> 7 [size =\"5820416\"]\n  2 [size=\"29745152\", alpha=\"0.19\", expect_size=\"14872576\"] \n  2 -> 6 [size =\"14872576\"]\n  3 [size=\"83996672\", alpha=\"0.07\", expect_size=\"41998336\"] \n  3 -> 8 [size =\"41998336\"]\n  4 [size=\"72955904\", alpha=\"0.18\", expect_size=\"36477952\"] \n  4 -> 6 [size =\"36477952\"]\n  4 -> 9 [size =\"36477952\"]\n  5 [size=\"102739968\", alpha=\"0.10\", expect_size=\"51369984\"] \n  5 -> 6 [size =\"51369984\"]\n  5 -> 7 [size =\"51369984\"]\n  5 -> 9 [size =\"51369984\"]\n  6 [size=\"22329344\", alpha=\"0.17\", expect_size=\"11164672\"] \n  6 -> 11 [size =\"11164672\"]\n  6 -> 12 [size =\"11164672\"]\n  6 -> 14 [size =\"11164672\"]\n  7 [size=\"24225792\", alpha=\"0.01\", expect_size=\"12112896\"] \n  8 [size=\"61947904\", alpha=\"0.18\", expect_size=\"30973952\"] \n  8 -> 10 [size =\"30973952\"]\n  8 -> 11 [size =\"30973952\"]\n  8 -> 13 [size =\"30973952\"]\n  9 [size=\"45338624\", alpha=\"0.12\", expect_size=\"22669312\"] \n  9 -> 11 [size =\"22669312\"]\n  9 -> 14 [size =\"22669312\"]\n  10 [size=\"56944640\", alpha=\"0.03\", expect_size=\"28472320\"] \n  11 [size=\"77973504\", alpha=\"0.10\", expect_size=\"38986752\"] \n  11 -> 15 [size =\"38986752\"]\n  12 [size=\"68737024\", alpha=\"0.07\", expect_size=\"34368512\"] \n  13 [size=\"61861888\", alpha=\"0.18\", expect_size=\"30930944\"] \n  13 -> 17 [size =\"30930944\"]\n  14 [size=\"96040960\", alpha=\"0.02\", expect_size=\"48020480\"] \n  14 -> 15 [size =\"48020480\"]\n  14 -> 16 [size =\"48020480\"]\n  15 [size=\"85411840\", alpha=\"0.12\", expect_size=\"42705920\"] \n  15 -> 20 [size =\"42705920\"]\n  16 [size=\"37468160\", alpha=\"0.18\", expect_size=\"18734080\"] \n  16 -> 19 [size =\"18734080\"]\n  17 [size=\"21362688\", alpha=\"0.19\", expect_size=\"10681344\"] \n  17 -> 18 [size =\"10681344\"]\n  17 -> 21 [size =\"10681344\"]\n  18 [size=\"28401664\", alpha=\"0.05\", expect_size=\"14200832\"] \n  19 [size=\"20486144\", alpha=\"0.15\", expect_size=\"10243072\"] \n  19 -> 22 [size =\"10243072\"]\n  19 -> 23 [size =\"10243072\"]\n  19 -> 24 [size =\"10243072\"]\n  19 -> 25 [size =\"10243072\"]\n  19 -> 26 [size =\"10243072\"]\n  20 [size=\"77176832\", alpha=\"0.09\", expect_size=\"38588416\"] \n  20 -> 23 [size =\"38588416\"]\n  20 -> 24 [size =\"38588416\"]\n  20 -> 26 [size =\"38588416\"]\n  21 [size=\"89108480\", alpha=\"0.03\", expect_size=\"44554240\"] \n  21 -> 22 [size =\"44554240\"]\n  21 -> 24 [size =\"44554240\"]\n  21 -> 26 [size =\"44554240\"]\n  22 [size=\"44144640\", alpha=\"0.02\", expect_size=\"22072320\"] \n  22 -> 28 [size =\"22072320\"]\n  22 -> 30 [size =\"22072320\"]\n  23 [size=\"77359104\", alpha=\"0.15\", expect_size=\"38679552\"] \n  23 -> 30 [size =\"38679552\"]\n  24 [size=\"67123200\", alpha=\"0.03\", expect_size=\"33561600\"] \n  24 -> 29 [size =\"33561600\"]\n  25 [size=\"74811392\", alpha=\"0.09\", expect_size=\"37405696\"] \n  25 -> 29 [size =\"37405696\"]\n  26 [size=\"37371904\", alpha=\"0.18\", expect_size=\"18685952\"] \n  26 -> 27 [size =\"18685952\"]\n  26 -> 30 [size =\"18685952\"]\n  27 [size=\"29200384\", alpha=\"0.11\", expect_size=\"14600192\"] \n  28 [size=\"23500800\", alpha=\"0.14\", expect_size=\"11750400\"] \n  29 [size=\"45268992\", alpha=\"0.04\", expect_size=\"22634496\"] \n  30 [size=\"21837824\", alpha=\"0.04\", expect_size=\"10918912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141936640\", alpha=\"0.11\", expect_size=\"42580992\"] \n  1 -> 23 [size =\"42580992\"]\n  1 -> 30 [size =\"42580992\"]\n  2 [size=\"91279360\", alpha=\"0.02\", expect_size=\"27383808\"] \n  2 -> 22 [size =\"27383808\"]\n  2 -> 27 [size =\"27383808\"]\n  2 -> 28 [size =\"27383808\"]\n  3 [size=\"19114667\", alpha=\"0.05\", expect_size=\"5734400\"] \n  3 -> 22 [size =\"5734400\"]\n  3 -> 23 [size =\"5734400\"]\n  3 -> 25 [size =\"5734400\"]\n  3 -> 26 [size =\"5734400\"]\n  3 -> 27 [size =\"5734400\"]\n  4 [size=\"120524800\", alpha=\"0.08\", expect_size=\"36157440\"] \n  4 -> 26 [size =\"36157440\"]\n  4 -> 27 [size =\"36157440\"]\n  4 -> 30 [size =\"36157440\"]\n  5 [size=\"100280320\", alpha=\"0.01\", expect_size=\"30084096\"] \n  5 -> 25 [size =\"30084096\"]\n  5 -> 30 [size =\"30084096\"]\n  6 [size=\"52555093\", alpha=\"0.06\", expect_size=\"15766528\"] \n  6 -> 26 [size =\"15766528\"]\n  6 -> 28 [size =\"15766528\"]\n  7 [size=\"123190613\", alpha=\"0.01\", expect_size=\"36957184\"] \n  7 -> 24 [size =\"36957184\"]\n  7 -> 26 [size =\"36957184\"]\n  7 -> 27 [size =\"36957184\"]\n  8 [size=\"26777600\", alpha=\"0.12\", expect_size=\"8033280\"] \n  8 -> 26 [size =\"8033280\"]\n  8 -> 26 [size =\"8033280\"]\n  8 -> 27 [size =\"8033280\"]\n  9 [size=\"88866133\", alpha=\"0.15\", expect_size=\"26659840\"] \n  9 -> 27 [size =\"26659840\"]\n  10 [size=\"84869120\", alpha=\"0.06\", expect_size=\"25460736\"] \n  10 -> 28 [size =\"25460736\"]\n  10 -> 30 [size =\"25460736\"]\n  11 [size=\"93982720\", alpha=\"0.01\", expect_size=\"28194816\"] \n  11 -> 25 [size =\"28194816\"]\n  11 -> 28 [size =\"28194816\"]\n  12 [size=\"22975147\", alpha=\"0.20\", expect_size=\"6892544\"] \n  12 -> 25 [size =\"6892544\"]\n  12 -> 26 [size =\"6892544\"]\n  12 -> 30 [size =\"6892544\"]\n  13 [size=\"39427413\", alpha=\"0.01\", expect_size=\"11828224\"] \n  13 -> 23 [size =\"11828224\"]\n  13 -> 27 [size =\"11828224\"]\n  13 -> 28 [size =\"11828224\"]\n  14 [size=\"74915840\", alpha=\"0.06\", expect_size=\"22474752\"] \n  14 -> 23 [size =\"22474752\"]\n  14 -> 28 [size =\"22474752\"]\n  15 [size=\"135529813\", alpha=\"0.11\", expect_size=\"40658944\"] \n  15 -> 28 [size =\"40658944\"]\n  16 [size=\"139997867\", alpha=\"0.17\", expect_size=\"41999360\"] \n  16 -> 28 [size =\"41999360\"]\n  16 -> 30 [size =\"41999360\"]\n  17 [size=\"30655147\", alpha=\"0.09\", expect_size=\"9196544\"] \n  18 [size=\"36171093\", alpha=\"0.05\", expect_size=\"10851328\"] \n  18 -> 23 [size =\"10851328\"]\n  18 -> 25 [size =\"10851328\"]\n  18 -> 28 [size =\"10851328\"]\n  18 -> 30 [size =\"10851328\"]\n  19 [size=\"131891200\", alpha=\"0.04\", expect_size=\"39567360\"] \n  19 -> 23 [size =\"39567360\"]\n  20 [size=\"90231467\", alpha=\"0.07\", expect_size=\"27069440\"] \n  20 -> 23 [size =\"27069440\"]\n  20 -> 28 [size =\"27069440\"]\n  21 [size=\"133693440\", alpha=\"0.06\", expect_size=\"40108032\"] \n  21 -> 23 [size =\"40108032\"]\n  21 -> 26 [size =\"40108032\"]\n  21 -> 28 [size =\"40108032\"]\n  21 -> 29 [size =\"40108032\"]\n  22 [size=\"139984213\", alpha=\"0.14\", expect_size=\"41995264\"] \n  23 [size=\"137687040\", alpha=\"0.03\", expect_size=\"41306112\"] \n  24 [size=\"146742613\", alpha=\"0.04\", expect_size=\"44022784\"] \n  25 [size=\"34785280\", alpha=\"0.17\", expect_size=\"10435584\"] \n  26 [size=\"124559360\", alpha=\"0.13\", expect_size=\"37367808\"] \n  27 [size=\"100365653\", alpha=\"0.03\", expect_size=\"30109696\"] \n  28 [size=\"170949973\", alpha=\"0.14\", expect_size=\"51284992\"] \n  29 [size=\"51442347\", alpha=\"0.15\", expect_size=\"15432704\"] \n  30 [size=\"84404907\", alpha=\"0.04\", expect_size=\"25321472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118371840\", alpha=\"0.09\", expect_size=\"47348736\"] \n  1 -> 2 [size =\"47348736\"]\n  2 [size=\"47385600\", alpha=\"0.07\", expect_size=\"18954240\"] \n  2 -> 3 [size =\"18954240\"]\n  3 [size=\"37091840\", alpha=\"0.11\", expect_size=\"14836736\"] \n  3 -> 4 [size =\"14836736\"]\n  4 [size=\"110638080\", alpha=\"0.06\", expect_size=\"44255232\"] \n  4 -> 5 [size =\"44255232\"]\n  5 [size=\"49433600\", alpha=\"0.06\", expect_size=\"19773440\"] \n  5 -> 6 [size =\"19773440\"]\n  6 [size=\"50849280\", alpha=\"0.13\", expect_size=\"20339712\"] \n  6 -> 7 [size =\"20339712\"]\n  7 [size=\"80801280\", alpha=\"0.06\", expect_size=\"32320512\"] \n  7 -> 8 [size =\"32320512\"]\n  8 [size=\"118446080\", alpha=\"0.05\", expect_size=\"47378432\"] \n  8 -> 9 [size =\"47378432\"]\n  9 [size=\"36280320\", alpha=\"0.06\", expect_size=\"14512128\"] \n  9 -> 10 [size =\"14512128\"]\n  10 [size=\"21547520\", alpha=\"0.14\", expect_size=\"8619008\"] \n  10 -> 11 [size =\"8619008\"]\n  11 [size=\"28305920\", alpha=\"0.18\", expect_size=\"11322368\"] \n  11 -> 12 [size =\"11322368\"]\n  12 [size=\"80273920\", alpha=\"0.19\", expect_size=\"32109568\"] \n  12 -> 13 [size =\"32109568\"]\n  13 [size=\"122270720\", alpha=\"0.04\", expect_size=\"48908288\"] \n  13 -> 14 [size =\"48908288\"]\n  14 [size=\"69089280\", alpha=\"0.04\", expect_size=\"27635712\"] \n  14 -> 15 [size =\"27635712\"]\n  15 [size=\"103518720\", alpha=\"0.04\", expect_size=\"41407488\"] \n  15 -> 16 [size =\"41407488\"]\n  16 [size=\"18411520\", alpha=\"0.09\", expect_size=\"7364608\"] \n  16 -> 17 [size =\"7364608\"]\n  17 [size=\"97141760\", alpha=\"0.06\", expect_size=\"38856704\"] \n  17 -> 18 [size =\"38856704\"]\n  18 [size=\"13711360\", alpha=\"0.19\", expect_size=\"5484544\"] \n  18 -> 19 [size =\"5484544\"]\n  19 [size=\"40829440\", alpha=\"0.06\", expect_size=\"16331776\"] \n  19 -> 20 [size =\"16331776\"]\n  20 [size=\"75397120\", alpha=\"0.10\", expect_size=\"30158848\"] \n  20 -> 21 [size =\"30158848\"]\n  21 [size=\"41054720\", alpha=\"0.12\", expect_size=\"16421888\"] \n  21 -> 22 [size =\"16421888\"]\n  22 [size=\"27176960\", alpha=\"0.01\", expect_size=\"10870784\"] \n  22 -> 23 [size =\"10870784\"]\n  23 [size=\"22407680\", alpha=\"0.13\", expect_size=\"8963072\"] \n  23 -> 24 [size =\"8963072\"]\n  24 [size=\"46510080\", alpha=\"0.02\", expect_size=\"18604032\"] \n  24 -> 25 [size =\"18604032\"]\n  25 [size=\"69045760\", alpha=\"0.16\", expect_size=\"27618304\"] \n  25 -> 26 [size =\"27618304\"]\n  26 [size=\"94036480\", alpha=\"0.18\", expect_size=\"37614592\"] \n  26 -> 27 [size =\"37614592\"]\n  27 [size=\"27499520\", alpha=\"0.10\", expect_size=\"10999808\"] \n  27 -> 28 [size =\"10999808\"]\n  28 [size=\"65735680\", alpha=\"0.01\", expect_size=\"26294272\"] \n  28 -> 29 [size =\"26294272\"]\n  29 [size=\"57072640\", alpha=\"0.16\", expect_size=\"22829056\"] \n  29 -> 30 [size =\"22829056\"]\n  30 [size=\"90567680\", alpha=\"0.12\", expect_size=\"36227072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95556267\", alpha=\"0.06\", expect_size=\"28666880\"] \n  1 -> 21 [size =\"28666880\"]\n  1 -> 22 [size =\"28666880\"]\n  1 -> 23 [size =\"28666880\"]\n  1 -> 24 [size =\"28666880\"]\n  1 -> 29 [size =\"28666880\"]\n  2 [size=\"71867733\", alpha=\"0.15\", expect_size=\"21560320\"] \n  2 -> 29 [size =\"21560320\"]\n  3 [size=\"52732587\", alpha=\"0.05\", expect_size=\"15819776\"] \n  3 -> 22 [size =\"15819776\"]\n  3 -> 23 [size =\"15819776\"]\n  3 -> 25 [size =\"15819776\"]\n  3 -> 27 [size =\"15819776\"]\n  4 [size=\"142148267\", alpha=\"0.12\", expect_size=\"42644480\"] \n  4 -> 21 [size =\"42644480\"]\n  4 -> 22 [size =\"42644480\"]\n  4 -> 24 [size =\"42644480\"]\n  4 -> 25 [size =\"42644480\"]\n  4 -> 26 [size =\"42644480\"]\n  4 -> 29 [size =\"42644480\"]\n  5 [size=\"93040640\", alpha=\"0.15\", expect_size=\"27912192\"] \n  5 -> 25 [size =\"27912192\"]\n  6 [size=\"59125760\", alpha=\"0.19\", expect_size=\"17737728\"] \n  6 -> 21 [size =\"17737728\"]\n  6 -> 23 [size =\"17737728\"]\n  6 -> 24 [size =\"17737728\"]\n  6 -> 27 [size =\"17737728\"]\n  7 [size=\"87118507\", alpha=\"0.06\", expect_size=\"26135552\"] \n  7 -> 22 [size =\"26135552\"]\n  7 -> 26 [size =\"26135552\"]\n  8 [size=\"20712107\", alpha=\"0.20\", expect_size=\"6213632\"] \n  8 -> 21 [size =\"6213632\"]\n  8 -> 23 [size =\"6213632\"]\n  9 [size=\"137755307\", alpha=\"0.11\", expect_size=\"41326592\"] \n  9 -> 21 [size =\"41326592\"]\n  9 -> 23 [size =\"41326592\"]\n  10 [size=\"119610027\", alpha=\"0.01\", expect_size=\"35883008\"] \n  10 -> 21 [size =\"35883008\"]\n  10 -> 23 [size =\"35883008\"]\n  10 -> 24 [size =\"35883008\"]\n  10 -> 26 [size =\"35883008\"]\n  11 [size=\"72843947\", alpha=\"0.12\", expect_size=\"21853184\"] \n  11 -> 21 [size =\"21853184\"]\n  11 -> 23 [size =\"21853184\"]\n  11 -> 24 [size =\"21853184\"]\n  11 -> 25 [size =\"21853184\"]\n  11 -> 26 [size =\"21853184\"]\n  11 -> 29 [size =\"21853184\"]\n  12 [size=\"116193280\", alpha=\"0.09\", expect_size=\"34857984\"] \n  12 -> 22 [size =\"34857984\"]\n  12 -> 25 [size =\"34857984\"]\n  12 -> 27 [size =\"34857984\"]\n  13 [size=\"80626347\", alpha=\"0.07\", expect_size=\"24187904\"] \n  13 -> 25 [size =\"24187904\"]\n  14 [size=\"120043520\", alpha=\"0.04\", expect_size=\"36013056\"] \n  14 -> 21 [size =\"36013056\"]\n  14 -> 23 [size =\"36013056\"]\n  14 -> 25 [size =\"36013056\"]\n  14 -> 26 [size =\"36013056\"]\n  15 [size=\"53548373\", alpha=\"0.16\", expect_size=\"16064512\"] \n  15 -> 21 [size =\"16064512\"]\n  15 -> 23 [size =\"16064512\"]\n  15 -> 26 [size =\"16064512\"]\n  15 -> 30 [size =\"16064512\"]\n  16 [size=\"169441280\", alpha=\"0.07\", expect_size=\"50832384\"] \n  16 -> 23 [size =\"50832384\"]\n  16 -> 24 [size =\"50832384\"]\n  16 -> 25 [size =\"50832384\"]\n  16 -> 28 [size =\"50832384\"]\n  17 [size=\"158593707\", alpha=\"0.13\", expect_size=\"47578112\"] \n  17 -> 22 [size =\"47578112\"]\n  17 -> 23 [size =\"47578112\"]\n  17 -> 26 [size =\"47578112\"]\n  18 [size=\"51882667\", alpha=\"0.16\", expect_size=\"15564800\"] \n  18 -> 22 [size =\"15564800\"]\n  18 -> 23 [size =\"15564800\"]\n  18 -> 25 [size =\"15564800\"]\n  18 -> 26 [size =\"15564800\"]\n  18 -> 27 [size =\"15564800\"]\n  18 -> 28 [size =\"15564800\"]\n  19 [size=\"51377493\", alpha=\"0.01\", expect_size=\"15413248\"] \n  19 -> 21 [size =\"15413248\"]\n  19 -> 22 [size =\"15413248\"]\n  19 -> 23 [size =\"15413248\"]\n  19 -> 25 [size =\"15413248\"]\n  19 -> 26 [size =\"15413248\"]\n  20 [size=\"141243733\", alpha=\"0.03\", expect_size=\"42373120\"] \n  20 -> 21 [size =\"42373120\"]\n  20 -> 25 [size =\"42373120\"]\n  21 [size=\"147572053\", alpha=\"0.15\", expect_size=\"44271616\"] \n  22 [size=\"81145173\", alpha=\"0.13\", expect_size=\"24343552\"] \n  23 [size=\"153402027\", alpha=\"0.16\", expect_size=\"46020608\"] \n  24 [size=\"52940800\", alpha=\"0.15\", expect_size=\"15882240\"] \n  25 [size=\"82309120\", alpha=\"0.04\", expect_size=\"24692736\"] \n  26 [size=\"50179413\", alpha=\"0.18\", expect_size=\"15053824\"] \n  27 [size=\"102082560\", alpha=\"0.01\", expect_size=\"30624768\"] \n  28 [size=\"44390400\", alpha=\"0.04\", expect_size=\"13317120\"] \n  29 [size=\"173970773\", alpha=\"0.02\", expect_size=\"52191232\"] \n  30 [size=\"24954880\", alpha=\"0.14\", expect_size=\"7486464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92778496\", alpha=\"0.02\", expect_size=\"46389248\"] \n  1 -> 8 [size =\"46389248\"]\n  1 -> 10 [size =\"46389248\"]\n  2 [size=\"84033536\", alpha=\"0.13\", expect_size=\"42016768\"] \n  2 -> 6 [size =\"42016768\"]\n  3 [size=\"28665856\", alpha=\"0.11\", expect_size=\"14332928\"] \n  3 -> 10 [size =\"14332928\"]\n  4 [size=\"68466688\", alpha=\"0.09\", expect_size=\"34233344\"] \n  4 -> 7 [size =\"34233344\"]\n  5 [size=\"83345408\", alpha=\"0.19\", expect_size=\"41672704\"] \n  5 -> 9 [size =\"41672704\"]\n  6 [size=\"33896448\", alpha=\"0.03\", expect_size=\"16948224\"] \n  6 -> 13 [size =\"16948224\"]\n  7 [size=\"103020544\", alpha=\"0.03\", expect_size=\"51510272\"] \n  7 -> 13 [size =\"51510272\"]\n  7 -> 14 [size =\"51510272\"]\n  8 [size=\"84713472\", alpha=\"0.07\", expect_size=\"42356736\"] \n  8 -> 13 [size =\"42356736\"]\n  8 -> 14 [size =\"42356736\"]\n  9 [size=\"55605248\", alpha=\"0.19\", expect_size=\"27802624\"] \n  9 -> 11 [size =\"27802624\"]\n  9 -> 14 [size =\"27802624\"]\n  10 [size=\"25841664\", alpha=\"0.05\", expect_size=\"12920832\"] \n  10 -> 12 [size =\"12920832\"]\n  10 -> 15 [size =\"12920832\"]\n  11 [size=\"83599360\", alpha=\"0.12\", expect_size=\"41799680\"] \n  11 -> 20 [size =\"41799680\"]\n  12 [size=\"91236352\", alpha=\"0.14\", expect_size=\"45618176\"] \n  12 -> 17 [size =\"45618176\"]\n  12 -> 19 [size =\"45618176\"]\n  13 [size=\"57219072\", alpha=\"0.14\", expect_size=\"28609536\"] \n  13 -> 18 [size =\"28609536\"]\n  14 [size=\"13975552\", alpha=\"0.00\", expect_size=\"6987776\"] \n  14 -> 16 [size =\"6987776\"]\n  14 -> 17 [size =\"6987776\"]\n  14 -> 18 [size =\"6987776\"]\n  15 [size=\"55187456\", alpha=\"0.02\", expect_size=\"27593728\"] \n  16 [size=\"48631808\", alpha=\"0.08\", expect_size=\"24315904\"] \n  16 -> 21 [size =\"24315904\"]\n  16 -> 22 [size =\"24315904\"]\n  17 [size=\"64866304\", alpha=\"0.12\", expect_size=\"32433152\"] \n  18 [size=\"78632960\", alpha=\"0.08\", expect_size=\"39316480\"] \n  18 -> 23 [size =\"39316480\"]\n  19 [size=\"17573888\", alpha=\"0.15\", expect_size=\"8786944\"] \n  19 -> 22 [size =\"8786944\"]\n  20 [size=\"13803520\", alpha=\"0.04\", expect_size=\"6901760\"] \n  20 -> 21 [size =\"6901760\"]\n  20 -> 23 [size =\"6901760\"]\n  21 [size=\"37761024\", alpha=\"0.12\", expect_size=\"18880512\"] \n  21 -> 25 [size =\"18880512\"]\n  21 -> 26 [size =\"18880512\"]\n  22 [size=\"94056448\", alpha=\"0.14\", expect_size=\"47028224\"] \n  22 -> 24 [size =\"47028224\"]\n  23 [size=\"67813376\", alpha=\"0.01\", expect_size=\"33906688\"] \n  23 -> 25 [size =\"33906688\"]\n  23 -> 26 [size =\"33906688\"]\n  24 [size=\"39151616\", alpha=\"0.00\", expect_size=\"19575808\"] \n  24 -> 27 [size =\"19575808\"]\n  24 -> 28 [size =\"19575808\"]\n  24 -> 29 [size =\"19575808\"]\n  25 [size=\"39380992\", alpha=\"0.14\", expect_size=\"19690496\"] \n  25 -> 30 [size =\"19690496\"]\n  26 [size=\"49317888\", alpha=\"0.14\", expect_size=\"24658944\"] \n  27 [size=\"85800960\", alpha=\"0.13\", expect_size=\"42900480\"] \n  28 [size=\"47392768\", alpha=\"0.07\", expect_size=\"23696384\"] \n  29 [size=\"84842496\", alpha=\"0.12\", expect_size=\"42421248\"] \n  30 [size=\"59826176\", alpha=\"0.19\", expect_size=\"29913088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66744320\", alpha=\"0.16\", expect_size=\"33372160\"] \n  1 -> 2 [size =\"33372160\"]\n  2 [size=\"87027712\", alpha=\"0.07\", expect_size=\"43513856\"] \n  2 -> 3 [size =\"43513856\"]\n  3 [size=\"15173632\", alpha=\"0.06\", expect_size=\"7586816\"] \n  3 -> 4 [size =\"7586816\"]\n  4 [size=\"58353664\", alpha=\"0.02\", expect_size=\"29176832\"] \n  4 -> 5 [size =\"29176832\"]\n  5 [size=\"54005760\", alpha=\"0.18\", expect_size=\"27002880\"] \n  5 -> 6 [size =\"27002880\"]\n  6 [size=\"97732608\", alpha=\"0.08\", expect_size=\"48866304\"] \n  6 -> 7 [size =\"48866304\"]\n  7 [size=\"82788352\", alpha=\"0.10\", expect_size=\"41394176\"] \n  7 -> 8 [size =\"41394176\"]\n  8 [size=\"12572672\", alpha=\"0.13\", expect_size=\"6286336\"] \n  8 -> 9 [size =\"6286336\"]\n  9 [size=\"62922752\", alpha=\"0.12\", expect_size=\"31461376\"] \n  9 -> 10 [size =\"31461376\"]\n  10 [size=\"75939840\", alpha=\"0.01\", expect_size=\"37969920\"] \n  10 -> 11 [size =\"37969920\"]\n  11 [size=\"23621632\", alpha=\"0.09\", expect_size=\"11810816\"] \n  11 -> 12 [size =\"11810816\"]\n  12 [size=\"99934208\", alpha=\"0.04\", expect_size=\"49967104\"] \n  12 -> 13 [size =\"49967104\"]\n  13 [size=\"36704256\", alpha=\"0.05\", expect_size=\"18352128\"] \n  13 -> 14 [size =\"18352128\"]\n  14 [size=\"64581632\", alpha=\"0.01\", expect_size=\"32290816\"] \n  14 -> 15 [size =\"32290816\"]\n  15 [size=\"73789440\", alpha=\"0.06\", expect_size=\"36894720\"] \n  15 -> 16 [size =\"36894720\"]\n  16 [size=\"64180224\", alpha=\"0.00\", expect_size=\"32090112\"] \n  16 -> 17 [size =\"32090112\"]\n  17 [size=\"100124672\", alpha=\"0.01\", expect_size=\"50062336\"] \n  17 -> 18 [size =\"50062336\"]\n  18 [size=\"51283968\", alpha=\"0.03\", expect_size=\"25641984\"] \n  18 -> 19 [size =\"25641984\"]\n  19 [size=\"17584128\", alpha=\"0.07\", expect_size=\"8792064\"] \n  19 -> 20 [size =\"8792064\"]\n  20 [size=\"73244672\", alpha=\"0.13\", expect_size=\"36622336\"] \n  20 -> 21 [size =\"36622336\"]\n  21 [size=\"79882240\", alpha=\"0.10\", expect_size=\"39941120\"] \n  21 -> 22 [size =\"39941120\"]\n  22 [size=\"28971008\", alpha=\"0.04\", expect_size=\"14485504\"] \n  22 -> 23 [size =\"14485504\"]\n  23 [size=\"45688832\", alpha=\"0.18\", expect_size=\"22844416\"] \n  23 -> 24 [size =\"22844416\"]\n  24 [size=\"67375104\", alpha=\"0.03\", expect_size=\"33687552\"] \n  24 -> 25 [size =\"33687552\"]\n  25 [size=\"70686720\", alpha=\"0.17\", expect_size=\"35343360\"] \n  25 -> 26 [size =\"35343360\"]\n  26 [size=\"97630208\", alpha=\"0.09\", expect_size=\"48815104\"] \n  26 -> 27 [size =\"48815104\"]\n  27 [size=\"97683456\", alpha=\"0.17\", expect_size=\"48841728\"] \n  27 -> 28 [size =\"48841728\"]\n  28 [size=\"101777408\", alpha=\"0.05\", expect_size=\"50888704\"] \n  28 -> 29 [size =\"50888704\"]\n  29 [size=\"19761152\", alpha=\"0.04\", expect_size=\"9880576\"] \n  29 -> 30 [size =\"9880576\"]\n  30 [size=\"53444608\", alpha=\"0.18\", expect_size=\"26722304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133655893\", alpha=\"0.09\", expect_size=\"40096768\"] \n  1 -> 3 [size =\"40096768\"]\n  2 [size=\"46226773\", alpha=\"0.16\", expect_size=\"13868032\"] \n  2 -> 3 [size =\"13868032\"]\n  3 [size=\"117077333\", alpha=\"0.02\", expect_size=\"35123200\"] \n  3 -> 4 [size =\"35123200\"]\n  3 -> 5 [size =\"35123200\"]\n  4 [size=\"92917760\", alpha=\"0.12\", expect_size=\"27875328\"] \n  4 -> 6 [size =\"27875328\"]\n  5 [size=\"77175467\", alpha=\"0.16\", expect_size=\"23152640\"] \n  5 -> 6 [size =\"23152640\"]\n  6 [size=\"50496853\", alpha=\"0.14\", expect_size=\"15149056\"] \n  6 -> 7 [size =\"15149056\"]\n  6 -> 8 [size =\"15149056\"]\n  7 [size=\"159385600\", alpha=\"0.06\", expect_size=\"47815680\"] \n  8 [size=\"172417707\", alpha=\"0.02\", expect_size=\"51725312\"] \n  8 -> 9 [size =\"51725312\"]\n  8 -> 10 [size =\"51725312\"]\n  9 [size=\"61487787\", alpha=\"0.01\", expect_size=\"18446336\"] \n  10 [size=\"56251733\", alpha=\"0.18\", expect_size=\"16875520\"] \n  10 -> 11 [size =\"16875520\"]\n  11 [size=\"39587840\", alpha=\"0.17\", expect_size=\"11876352\"] \n  11 -> 12 [size =\"11876352\"]\n  11 -> 13 [size =\"11876352\"]\n  12 [size=\"107048960\", alpha=\"0.19\", expect_size=\"32114688\"] \n  12 -> 14 [size =\"32114688\"]\n  13 [size=\"77032107\", alpha=\"0.18\", expect_size=\"23109632\"] \n  13 -> 14 [size =\"23109632\"]\n  14 [size=\"92269227\", alpha=\"0.02\", expect_size=\"27680768\"] \n  14 -> 15 [size =\"27680768\"]\n  15 [size=\"32477867\", alpha=\"0.19\", expect_size=\"9743360\"] \n  15 -> 16 [size =\"9743360\"]\n  15 -> 17 [size =\"9743360\"]\n  16 [size=\"161047893\", alpha=\"0.05\", expect_size=\"48314368\"] \n  16 -> 18 [size =\"48314368\"]\n  17 [size=\"116500480\", alpha=\"0.13\", expect_size=\"34950144\"] \n  17 -> 18 [size =\"34950144\"]\n  18 [size=\"161174187\", alpha=\"0.09\", expect_size=\"48352256\"] \n  18 -> 19 [size =\"48352256\"]\n  18 -> 20 [size =\"48352256\"]\n  19 [size=\"22613333\", alpha=\"0.01\", expect_size=\"6784000\"] \n  19 -> 22 [size =\"6784000\"]\n  20 [size=\"28873387\", alpha=\"0.11\", expect_size=\"8662016\"] \n  20 -> 21 [size =\"8662016\"]\n  20 -> 22 [size =\"8662016\"]\n  21 [size=\"171287893\", alpha=\"0.15\", expect_size=\"51386368\"] \n  21 -> 23 [size =\"51386368\"]\n  21 -> 24 [size =\"51386368\"]\n  22 [size=\"148367360\", alpha=\"0.04\", expect_size=\"44510208\"] \n  22 -> 24 [size =\"44510208\"]\n  23 [size=\"140260693\", alpha=\"0.04\", expect_size=\"42078208\"] \n  23 -> 26 [size =\"42078208\"]\n  24 [size=\"122579627\", alpha=\"0.15\", expect_size=\"36773888\"] \n  24 -> 25 [size =\"36773888\"]\n  25 [size=\"137274027\", alpha=\"0.13\", expect_size=\"41182208\"] \n  25 -> 27 [size =\"41182208\"]\n  25 -> 28 [size =\"41182208\"]\n  26 [size=\"126832640\", alpha=\"0.15\", expect_size=\"38049792\"] \n  26 -> 27 [size =\"38049792\"]\n  26 -> 28 [size =\"38049792\"]\n  27 [size=\"166150827\", alpha=\"0.16\", expect_size=\"49845248\"] \n  27 -> 29 [size =\"49845248\"]\n  28 [size=\"108888747\", alpha=\"0.16\", expect_size=\"32666624\"] \n  28 -> 30 [size =\"32666624\"]\n  29 [size=\"23610027\", alpha=\"0.01\", expect_size=\"7083008\"] \n  30 [size=\"30566400\", alpha=\"0.12\", expect_size=\"9169920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20703232\", alpha=\"0.12\", expect_size=\"10351616\"] \n  1 -> 11 [size =\"10351616\"]\n  1 -> 12 [size =\"10351616\"]\n  1 -> 14 [size =\"10351616\"]\n  1 -> 15 [size =\"10351616\"]\n  1 -> 17 [size =\"10351616\"]\n  1 -> 20 [size =\"10351616\"]\n  2 [size=\"37076992\", alpha=\"0.14\", expect_size=\"18538496\"] \n  2 -> 11 [size =\"18538496\"]\n  2 -> 12 [size =\"18538496\"]\n  2 -> 13 [size =\"18538496\"]\n  2 -> 14 [size =\"18538496\"]\n  3 [size=\"19294208\", alpha=\"0.02\", expect_size=\"9647104\"] \n  3 -> 12 [size =\"9647104\"]\n  3 -> 14 [size =\"9647104\"]\n  3 -> 15 [size =\"9647104\"]\n  3 -> 18 [size =\"9647104\"]\n  3 -> 20 [size =\"9647104\"]\n  4 [size=\"15460352\", alpha=\"0.09\", expect_size=\"7730176\"] \n  4 -> 11 [size =\"7730176\"]\n  4 -> 13 [size =\"7730176\"]\n  4 -> 14 [size =\"7730176\"]\n  4 -> 15 [size =\"7730176\"]\n  4 -> 16 [size =\"7730176\"]\n  4 -> 20 [size =\"7730176\"]\n  5 [size=\"86558720\", alpha=\"0.08\", expect_size=\"43279360\"] \n  5 -> 11 [size =\"43279360\"]\n  5 -> 13 [size =\"43279360\"]\n  5 -> 14 [size =\"43279360\"]\n  5 -> 15 [size =\"43279360\"]\n  5 -> 20 [size =\"43279360\"]\n  5 -> 20 [size =\"43279360\"]\n  6 [size=\"20322304\", alpha=\"0.01\", expect_size=\"10161152\"] \n  6 -> 11 [size =\"10161152\"]\n  6 -> 12 [size =\"10161152\"]\n  6 -> 14 [size =\"10161152\"]\n  6 -> 15 [size =\"10161152\"]\n  6 -> 17 [size =\"10161152\"]\n  7 [size=\"35604480\", alpha=\"0.00\", expect_size=\"17802240\"] \n  7 -> 11 [size =\"17802240\"]\n  7 -> 12 [size =\"17802240\"]\n  7 -> 16 [size =\"17802240\"]\n  7 -> 17 [size =\"17802240\"]\n  7 -> 19 [size =\"17802240\"]\n  8 [size=\"63551488\", alpha=\"0.20\", expect_size=\"31775744\"] \n  8 -> 11 [size =\"31775744\"]\n  8 -> 14 [size =\"31775744\"]\n  8 -> 15 [size =\"31775744\"]\n  8 -> 17 [size =\"31775744\"]\n  8 -> 20 [size =\"31775744\"]\n  9 [size=\"89233408\", alpha=\"0.04\", expect_size=\"44616704\"] \n  9 -> 11 [size =\"44616704\"]\n  9 -> 12 [size =\"44616704\"]\n  9 -> 14 [size =\"44616704\"]\n  9 -> 15 [size =\"44616704\"]\n  9 -> 17 [size =\"44616704\"]\n  9 -> 18 [size =\"44616704\"]\n  10 [size=\"64106496\", alpha=\"0.15\", expect_size=\"32053248\"] \n  10 -> 11 [size =\"32053248\"]\n  10 -> 12 [size =\"32053248\"]\n  10 -> 14 [size =\"32053248\"]\n  10 -> 15 [size =\"32053248\"]\n  10 -> 17 [size =\"32053248\"]\n  10 -> 20 [size =\"32053248\"]\n  11 [size=\"57217024\", alpha=\"0.20\", expect_size=\"28608512\"] \n  11 -> 21 [size =\"28608512\"]\n  11 -> 22 [size =\"28608512\"]\n  11 -> 26 [size =\"28608512\"]\n  11 -> 26 [size =\"28608512\"]\n  11 -> 27 [size =\"28608512\"]\n  11 -> 28 [size =\"28608512\"]\n  11 -> 29 [size =\"28608512\"]\n  12 [size=\"21704704\", alpha=\"0.13\", expect_size=\"10852352\"] \n  12 -> 24 [size =\"10852352\"]\n  12 -> 26 [size =\"10852352\"]\n  12 -> 27 [size =\"10852352\"]\n  12 -> 28 [size =\"10852352\"]\n  12 -> 29 [size =\"10852352\"]\n  12 -> 30 [size =\"10852352\"]\n  13 [size=\"86036480\", alpha=\"0.10\", expect_size=\"43018240\"] \n  13 -> 23 [size =\"43018240\"]\n  13 -> 25 [size =\"43018240\"]\n  13 -> 27 [size =\"43018240\"]\n  14 [size=\"95868928\", alpha=\"0.10\", expect_size=\"47934464\"] \n  14 -> 22 [size =\"47934464\"]\n  14 -> 23 [size =\"47934464\"]\n  14 -> 27 [size =\"47934464\"]\n  14 -> 28 [size =\"47934464\"]\n  15 [size=\"42360832\", alpha=\"0.04\", expect_size=\"21180416\"] \n  15 -> 22 [size =\"21180416\"]\n  15 -> 23 [size =\"21180416\"]\n  15 -> 27 [size =\"21180416\"]\n  15 -> 28 [size =\"21180416\"]\n  16 [size=\"80359424\", alpha=\"0.09\", expect_size=\"40179712\"] \n  16 -> 22 [size =\"40179712\"]\n  16 -> 23 [size =\"40179712\"]\n  16 -> 26 [size =\"40179712\"]\n  16 -> 27 [size =\"40179712\"]\n  16 -> 28 [size =\"40179712\"]\n  16 -> 29 [size =\"40179712\"]\n  16 -> 30 [size =\"40179712\"]\n  17 [size=\"85092352\", alpha=\"0.09\", expect_size=\"42546176\"] \n  17 -> 22 [size =\"42546176\"]\n  17 -> 23 [size =\"42546176\"]\n  17 -> 26 [size =\"42546176\"]\n  17 -> 30 [size =\"42546176\"]\n  18 [size=\"87332864\", alpha=\"0.16\", expect_size=\"43666432\"] \n  18 -> 21 [size =\"43666432\"]\n  18 -> 22 [size =\"43666432\"]\n  18 -> 23 [size =\"43666432\"]\n  18 -> 24 [size =\"43666432\"]\n  18 -> 26 [size =\"43666432\"]\n  18 -> 28 [size =\"43666432\"]\n  18 -> 29 [size =\"43666432\"]\n  19 [size=\"85807104\", alpha=\"0.13\", expect_size=\"42903552\"] \n  19 -> 21 [size =\"42903552\"]\n  19 -> 22 [size =\"42903552\"]\n  19 -> 23 [size =\"42903552\"]\n  19 -> 26 [size =\"42903552\"]\n  19 -> 27 [size =\"42903552\"]\n  19 -> 28 [size =\"42903552\"]\n  19 -> 29 [size =\"42903552\"]\n  19 -> 30 [size =\"42903552\"]\n  20 [size=\"11173888\", alpha=\"0.07\", expect_size=\"5586944\"] \n  20 -> 21 [size =\"5586944\"]\n  20 -> 22 [size =\"5586944\"]\n  20 -> 23 [size =\"5586944\"]\n  20 -> 26 [size =\"5586944\"]\n  21 [size=\"79691776\", alpha=\"0.03\", expect_size=\"39845888\"] \n  22 [size=\"78307328\", alpha=\"0.05\", expect_size=\"39153664\"] \n  23 [size=\"43675648\", alpha=\"0.09\", expect_size=\"21837824\"] \n  24 [size=\"88559616\", alpha=\"0.14\", expect_size=\"44279808\"] \n  25 [size=\"40085504\", alpha=\"0.15\", expect_size=\"20042752\"] \n  26 [size=\"58875904\", alpha=\"0.18\", expect_size=\"29437952\"] \n  27 [size=\"101570560\", alpha=\"0.06\", expect_size=\"50785280\"] \n  28 [size=\"47708160\", alpha=\"0.05\", expect_size=\"23854080\"] \n  29 [size=\"28788736\", alpha=\"0.02\", expect_size=\"14394368\"] \n  30 [size=\"90830848\", alpha=\"0.09\", expect_size=\"45415424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22476800\", alpha=\"0.10\", expect_size=\"11238400\"] \n  1 -> 9 [size =\"11238400\"]\n  1 -> 10 [size =\"11238400\"]\n  1 -> 15 [size =\"11238400\"]\n  1 -> 16 [size =\"11238400\"]\n  2 [size=\"80091136\", alpha=\"0.05\", expect_size=\"40045568\"] \n  2 -> 16 [size =\"40045568\"]\n  2 -> 18 [size =\"40045568\"]\n  3 [size=\"44597248\", alpha=\"0.17\", expect_size=\"22298624\"] \n  3 -> 9 [size =\"22298624\"]\n  3 -> 11 [size =\"22298624\"]\n  3 -> 12 [size =\"22298624\"]\n  3 -> 13 [size =\"22298624\"]\n  3 -> 16 [size =\"22298624\"]\n  3 -> 18 [size =\"22298624\"]\n  3 -> 19 [size =\"22298624\"]\n  4 [size=\"21284864\", alpha=\"0.15\", expect_size=\"10642432\"] \n  4 -> 10 [size =\"10642432\"]\n  4 -> 14 [size =\"10642432\"]\n  4 -> 16 [size =\"10642432\"]\n  4 -> 17 [size =\"10642432\"]\n  5 [size=\"64878592\", alpha=\"0.10\", expect_size=\"32439296\"] \n  5 -> 8 [size =\"32439296\"]\n  5 -> 9 [size =\"32439296\"]\n  5 -> 10 [size =\"32439296\"]\n  5 -> 12 [size =\"32439296\"]\n  5 -> 14 [size =\"32439296\"]\n  6 [size=\"65003520\", alpha=\"0.08\", expect_size=\"32501760\"] \n  6 -> 9 [size =\"32501760\"]\n  6 -> 10 [size =\"32501760\"]\n  6 -> 14 [size =\"32501760\"]\n  6 -> 17 [size =\"32501760\"]\n  6 -> 18 [size =\"32501760\"]\n  7 [size=\"46690304\", alpha=\"0.10\", expect_size=\"23345152\"] \n  7 -> 8 [size =\"23345152\"]\n  7 -> 10 [size =\"23345152\"]\n  7 -> 11 [size =\"23345152\"]\n  7 -> 14 [size =\"23345152\"]\n  7 -> 17 [size =\"23345152\"]\n  7 -> 18 [size =\"23345152\"]\n  7 -> 19 [size =\"23345152\"]\n  8 [size=\"88862720\", alpha=\"0.15\", expect_size=\"44431360\"] \n  8 -> 20 [size =\"44431360\"]\n  8 -> 22 [size =\"44431360\"]\n  8 -> 23 [size =\"44431360\"]\n  8 -> 24 [size =\"44431360\"]\n  9 [size=\"61933568\", alpha=\"0.06\", expect_size=\"30966784\"] \n  9 -> 22 [size =\"30966784\"]\n  9 -> 23 [size =\"30966784\"]\n  10 [size=\"67760128\", alpha=\"0.07\", expect_size=\"33880064\"] \n  10 -> 22 [size =\"33880064\"]\n  10 -> 23 [size =\"33880064\"]\n  10 -> 24 [size =\"33880064\"]\n  11 [size=\"44089344\", alpha=\"0.18\", expect_size=\"22044672\"] \n  11 -> 20 [size =\"22044672\"]\n  11 -> 22 [size =\"22044672\"]\n  11 -> 24 [size =\"22044672\"]\n  12 [size=\"91707392\", alpha=\"0.14\", expect_size=\"45853696\"] \n  12 -> 20 [size =\"45853696\"]\n  12 -> 22 [size =\"45853696\"]\n  12 -> 24 [size =\"45853696\"]\n  13 [size=\"22204416\", alpha=\"0.02\", expect_size=\"11102208\"] \n  13 -> 21 [size =\"11102208\"]\n  13 -> 22 [size =\"11102208\"]\n  13 -> 23 [size =\"11102208\"]\n  13 -> 24 [size =\"11102208\"]\n  13 -> 25 [size =\"11102208\"]\n  14 [size=\"103006208\", alpha=\"0.01\", expect_size=\"51503104\"] \n  14 -> 21 [size =\"51503104\"]\n  14 -> 22 [size =\"51503104\"]\n  14 -> 25 [size =\"51503104\"]\n  14 -> 26 [size =\"51503104\"]\n  15 [size=\"77172736\", alpha=\"0.09\", expect_size=\"38586368\"] \n  15 -> 21 [size =\"38586368\"]\n  15 -> 23 [size =\"38586368\"]\n  15 -> 25 [size =\"38586368\"]\n  16 [size=\"29196288\", alpha=\"0.13\", expect_size=\"14598144\"] \n  16 -> 20 [size =\"14598144\"]\n  16 -> 24 [size =\"14598144\"]\n  16 -> 25 [size =\"14598144\"]\n  16 -> 26 [size =\"14598144\"]\n  17 [size=\"64641024\", alpha=\"0.08\", expect_size=\"32320512\"] \n  17 -> 24 [size =\"32320512\"]\n  17 -> 26 [size =\"32320512\"]\n  18 [size=\"19564544\", alpha=\"0.06\", expect_size=\"9782272\"] \n  18 -> 20 [size =\"9782272\"]\n  18 -> 23 [size =\"9782272\"]\n  18 -> 25 [size =\"9782272\"]\n  18 -> 26 [size =\"9782272\"]\n  19 [size=\"88090624\", alpha=\"0.13\", expect_size=\"44045312\"] \n  19 -> 20 [size =\"44045312\"]\n  19 -> 23 [size =\"44045312\"]\n  19 -> 24 [size =\"44045312\"]\n  19 -> 25 [size =\"44045312\"]\n  20 [size=\"22083584\", alpha=\"0.17\", expect_size=\"11041792\"] \n  20 -> 28 [size =\"11041792\"]\n  20 -> 29 [size =\"11041792\"]\n  21 [size=\"53446656\", alpha=\"0.03\", expect_size=\"26723328\"] \n  21 -> 28 [size =\"26723328\"]\n  22 [size=\"43722752\", alpha=\"0.03\", expect_size=\"21861376\"] \n  22 -> 28 [size =\"21861376\"]\n  23 [size=\"14348288\", alpha=\"0.11\", expect_size=\"7174144\"] \n  24 [size=\"25253888\", alpha=\"0.02\", expect_size=\"12626944\"] \n  24 -> 27 [size =\"12626944\"]\n  25 [size=\"28123136\", alpha=\"0.04\", expect_size=\"14061568\"] \n  25 -> 28 [size =\"14061568\"]\n  25 -> 30 [size =\"14061568\"]\n  26 [size=\"71524352\", alpha=\"0.17\", expect_size=\"35762176\"] \n  26 -> 28 [size =\"35762176\"]\n  26 -> 29 [size =\"35762176\"]\n  26 -> 30 [size =\"35762176\"]\n  27 [size=\"38756352\", alpha=\"0.18\", expect_size=\"19378176\"] \n  28 [size=\"78057472\", alpha=\"0.16\", expect_size=\"39028736\"] \n  29 [size=\"13613056\", alpha=\"0.05\", expect_size=\"6806528\"] \n  30 [size=\"75044864\", alpha=\"0.05\", expect_size=\"37522432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139168427\", alpha=\"0.20\", expect_size=\"41750528\"] \n  1 -> 2 [size =\"41750528\"]\n  2 [size=\"151661227\", alpha=\"0.14\", expect_size=\"45498368\"] \n  2 -> 3 [size =\"45498368\"]\n  3 [size=\"144534187\", alpha=\"0.05\", expect_size=\"43360256\"] \n  3 -> 4 [size =\"43360256\"]\n  4 [size=\"153275733\", alpha=\"0.14\", expect_size=\"45982720\"] \n  4 -> 5 [size =\"45982720\"]\n  5 [size=\"34959360\", alpha=\"0.02\", expect_size=\"10487808\"] \n  5 -> 6 [size =\"10487808\"]\n  6 [size=\"125371733\", alpha=\"0.05\", expect_size=\"37611520\"] \n  6 -> 7 [size =\"37611520\"]\n  7 [size=\"156992853\", alpha=\"0.14\", expect_size=\"47097856\"] \n  7 -> 8 [size =\"47097856\"]\n  8 [size=\"113493333\", alpha=\"0.03\", expect_size=\"34048000\"] \n  8 -> 9 [size =\"34048000\"]\n  9 [size=\"163310933\", alpha=\"0.15\", expect_size=\"48993280\"] \n  9 -> 10 [size =\"48993280\"]\n  10 [size=\"82875733\", alpha=\"0.09\", expect_size=\"24862720\"] \n  10 -> 11 [size =\"24862720\"]\n  11 [size=\"70359040\", alpha=\"0.01\", expect_size=\"21107712\"] \n  11 -> 12 [size =\"21107712\"]\n  12 [size=\"68345173\", alpha=\"0.05\", expect_size=\"20503552\"] \n  12 -> 13 [size =\"20503552\"]\n  13 [size=\"17906347\", alpha=\"0.15\", expect_size=\"5371904\"] \n  13 -> 14 [size =\"5371904\"]\n  14 [size=\"57862827\", alpha=\"0.17\", expect_size=\"17358848\"] \n  14 -> 15 [size =\"17358848\"]\n  15 [size=\"167543467\", alpha=\"0.12\", expect_size=\"50263040\"] \n  15 -> 16 [size =\"50263040\"]\n  16 [size=\"27221333\", alpha=\"0.12\", expect_size=\"8166400\"] \n  16 -> 17 [size =\"8166400\"]\n  17 [size=\"69266773\", alpha=\"0.05\", expect_size=\"20780032\"] \n  17 -> 18 [size =\"20780032\"]\n  18 [size=\"21244587\", alpha=\"0.07\", expect_size=\"6373376\"] \n  18 -> 19 [size =\"6373376\"]\n  19 [size=\"45694293\", alpha=\"0.12\", expect_size=\"13708288\"] \n  19 -> 20 [size =\"13708288\"]\n  20 [size=\"161532587\", alpha=\"0.09\", expect_size=\"48459776\"] \n  20 -> 21 [size =\"48459776\"]\n  21 [size=\"76315307\", alpha=\"0.01\", expect_size=\"22894592\"] \n  21 -> 22 [size =\"22894592\"]\n  22 [size=\"80971093\", alpha=\"0.10\", expect_size=\"24291328\"] \n  22 -> 23 [size =\"24291328\"]\n  23 [size=\"122695680\", alpha=\"0.15\", expect_size=\"36808704\"] \n  23 -> 24 [size =\"36808704\"]\n  24 [size=\"83097600\", alpha=\"0.17\", expect_size=\"24929280\"] \n  24 -> 25 [size =\"24929280\"]\n  25 [size=\"61856427\", alpha=\"0.02\", expect_size=\"18556928\"] \n  25 -> 26 [size =\"18556928\"]\n  26 [size=\"159262720\", alpha=\"0.00\", expect_size=\"47778816\"] \n  26 -> 27 [size =\"47778816\"]\n  27 [size=\"99874133\", alpha=\"0.16\", expect_size=\"29962240\"] \n  27 -> 28 [size =\"29962240\"]\n  28 [size=\"140997973\", alpha=\"0.05\", expect_size=\"42299392\"] \n  28 -> 29 [size =\"42299392\"]\n  29 [size=\"42059093\", alpha=\"0.12\", expect_size=\"12617728\"] \n  29 -> 30 [size =\"12617728\"]\n  30 [size=\"136673280\", alpha=\"0.07\", expect_size=\"41001984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77639680\", alpha=\"0.13\", expect_size=\"31055872\"] \n  1 -> 2 [size =\"31055872\"]\n  2 [size=\"35238400\", alpha=\"0.03\", expect_size=\"14095360\"] \n  2 -> 3 [size =\"14095360\"]\n  3 [size=\"36485120\", alpha=\"0.10\", expect_size=\"14594048\"] \n  3 -> 4 [size =\"14594048\"]\n  4 [size=\"25628160\", alpha=\"0.07\", expect_size=\"10251264\"] \n  4 -> 5 [size =\"10251264\"]\n  5 [size=\"114928640\", alpha=\"0.02\", expect_size=\"45971456\"] \n  5 -> 6 [size =\"45971456\"]\n  6 [size=\"103802880\", alpha=\"0.11\", expect_size=\"41521152\"] \n  6 -> 7 [size =\"41521152\"]\n  7 [size=\"99939840\", alpha=\"0.19\", expect_size=\"39975936\"] \n  7 -> 8 [size =\"39975936\"]\n  8 [size=\"82076160\", alpha=\"0.05\", expect_size=\"32830464\"] \n  8 -> 9 [size =\"32830464\"]\n  9 [size=\"25326080\", alpha=\"0.11\", expect_size=\"10130432\"] \n  9 -> 10 [size =\"10130432\"]\n  10 [size=\"123898880\", alpha=\"0.06\", expect_size=\"49559552\"] \n  10 -> 11 [size =\"49559552\"]\n  11 [size=\"121487360\", alpha=\"0.06\", expect_size=\"48594944\"] \n  11 -> 12 [size =\"48594944\"]\n  12 [size=\"80378880\", alpha=\"0.14\", expect_size=\"32151552\"] \n  12 -> 13 [size =\"32151552\"]\n  13 [size=\"98083840\", alpha=\"0.17\", expect_size=\"39233536\"] \n  13 -> 14 [size =\"39233536\"]\n  14 [size=\"36938240\", alpha=\"0.18\", expect_size=\"14775296\"] \n  14 -> 15 [size =\"14775296\"]\n  15 [size=\"80174080\", alpha=\"0.03\", expect_size=\"32069632\"] \n  15 -> 16 [size =\"32069632\"]\n  16 [size=\"90736640\", alpha=\"0.11\", expect_size=\"36294656\"] \n  16 -> 17 [size =\"36294656\"]\n  17 [size=\"35863040\", alpha=\"0.16\", expect_size=\"14345216\"] \n  17 -> 18 [size =\"14345216\"]\n  18 [size=\"29104640\", alpha=\"0.12\", expect_size=\"11641856\"] \n  18 -> 19 [size =\"11641856\"]\n  19 [size=\"57344000\", alpha=\"0.07\", expect_size=\"22937600\"] \n  19 -> 20 [size =\"22937600\"]\n  20 [size=\"120688640\", alpha=\"0.14\", expect_size=\"48275456\"] \n  20 -> 21 [size =\"48275456\"]\n  21 [size=\"35394560\", alpha=\"0.13\", expect_size=\"14157824\"] \n  21 -> 22 [size =\"14157824\"]\n  22 [size=\"70417920\", alpha=\"0.15\", expect_size=\"28167168\"] \n  22 -> 23 [size =\"28167168\"]\n  23 [size=\"35973120\", alpha=\"0.02\", expect_size=\"14389248\"] \n  23 -> 24 [size =\"14389248\"]\n  24 [size=\"18040320\", alpha=\"0.10\", expect_size=\"7216128\"] \n  24 -> 25 [size =\"7216128\"]\n  25 [size=\"126988800\", alpha=\"0.16\", expect_size=\"50795520\"] \n  25 -> 26 [size =\"50795520\"]\n  26 [size=\"28080640\", alpha=\"0.17\", expect_size=\"11232256\"] \n  26 -> 27 [size =\"11232256\"]\n  27 [size=\"92899840\", alpha=\"0.13\", expect_size=\"37159936\"] \n  27 -> 28 [size =\"37159936\"]\n  28 [size=\"71802880\", alpha=\"0.00\", expect_size=\"28721152\"] \n  28 -> 29 [size =\"28721152\"]\n  29 [size=\"22745600\", alpha=\"0.10\", expect_size=\"9098240\"] \n  29 -> 30 [size =\"9098240\"]\n  30 [size=\"62604800\", alpha=\"0.18\", expect_size=\"25041920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137301333\", alpha=\"0.12\", expect_size=\"41190400\"] \n  1 -> 2 [size =\"41190400\"]\n  2 [size=\"96730453\", alpha=\"0.09\", expect_size=\"29019136\"] \n  2 -> 3 [size =\"29019136\"]\n  3 [size=\"167154347\", alpha=\"0.17\", expect_size=\"50146304\"] \n  3 -> 4 [size =\"50146304\"]\n  4 [size=\"169304747\", alpha=\"0.05\", expect_size=\"50791424\"] \n  4 -> 5 [size =\"50791424\"]\n  5 [size=\"23756800\", alpha=\"0.02\", expect_size=\"7127040\"] \n  5 -> 6 [size =\"7127040\"]\n  6 [size=\"83793920\", alpha=\"0.18\", expect_size=\"25138176\"] \n  6 -> 7 [size =\"25138176\"]\n  7 [size=\"81810773\", alpha=\"0.12\", expect_size=\"24543232\"] \n  7 -> 8 [size =\"24543232\"]\n  8 [size=\"157876907\", alpha=\"0.06\", expect_size=\"47363072\"] \n  8 -> 9 [size =\"47363072\"]\n  9 [size=\"118548480\", alpha=\"0.01\", expect_size=\"35564544\"] \n  9 -> 10 [size =\"35564544\"]\n  10 [size=\"78004907\", alpha=\"0.20\", expect_size=\"23401472\"] \n  10 -> 11 [size =\"23401472\"]\n  11 [size=\"92538880\", alpha=\"0.08\", expect_size=\"27761664\"] \n  11 -> 12 [size =\"27761664\"]\n  12 [size=\"27777707\", alpha=\"0.17\", expect_size=\"8333312\"] \n  12 -> 13 [size =\"8333312\"]\n  13 [size=\"98932053\", alpha=\"0.04\", expect_size=\"29679616\"] \n  13 -> 14 [size =\"29679616\"]\n  14 [size=\"78656853\", alpha=\"0.14\", expect_size=\"23597056\"] \n  14 -> 15 [size =\"23597056\"]\n  15 [size=\"121364480\", alpha=\"0.03\", expect_size=\"36409344\"] \n  15 -> 16 [size =\"36409344\"]\n  16 [size=\"136188587\", alpha=\"0.13\", expect_size=\"40856576\"] \n  16 -> 17 [size =\"40856576\"]\n  17 [size=\"120183467\", alpha=\"0.19\", expect_size=\"36055040\"] \n  17 -> 18 [size =\"36055040\"]\n  18 [size=\"61125973\", alpha=\"0.16\", expect_size=\"18337792\"] \n  18 -> 19 [size =\"18337792\"]\n  19 [size=\"111544320\", alpha=\"0.12\", expect_size=\"33463296\"] \n  19 -> 20 [size =\"33463296\"]\n  20 [size=\"122439680\", alpha=\"0.18\", expect_size=\"36731904\"] \n  20 -> 21 [size =\"36731904\"]\n  21 [size=\"120118613\", alpha=\"0.20\", expect_size=\"36035584\"] \n  21 -> 22 [size =\"36035584\"]\n  22 [size=\"25101653\", alpha=\"0.11\", expect_size=\"7530496\"] \n  22 -> 23 [size =\"7530496\"]\n  23 [size=\"156494507\", alpha=\"0.02\", expect_size=\"46948352\"] \n  23 -> 24 [size =\"46948352\"]\n  24 [size=\"34211840\", alpha=\"0.12\", expect_size=\"10263552\"] \n  24 -> 25 [size =\"10263552\"]\n  25 [size=\"145991680\", alpha=\"0.02\", expect_size=\"43797504\"] \n  25 -> 26 [size =\"43797504\"]\n  26 [size=\"170956800\", alpha=\"0.01\", expect_size=\"51287040\"] \n  26 -> 27 [size =\"51287040\"]\n  27 [size=\"119019520\", alpha=\"0.08\", expect_size=\"35705856\"] \n  27 -> 28 [size =\"35705856\"]\n  28 [size=\"110110720\", alpha=\"0.13\", expect_size=\"33033216\"] \n  28 -> 29 [size =\"33033216\"]\n  29 [size=\"79800320\", alpha=\"0.11\", expect_size=\"23940096\"] \n  29 -> 30 [size =\"23940096\"]\n  30 [size=\"18397867\", alpha=\"0.17\", expect_size=\"5519360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102420480\", alpha=\"0.00\", expect_size=\"51210240\"] \n  1 -> 2 [size =\"51210240\"]\n  2 [size=\"87703552\", alpha=\"0.15\", expect_size=\"43851776\"] \n  2 -> 3 [size =\"43851776\"]\n  3 [size=\"76890112\", alpha=\"0.15\", expect_size=\"38445056\"] \n  3 -> 4 [size =\"38445056\"]\n  4 [size=\"41021440\", alpha=\"0.03\", expect_size=\"20510720\"] \n  4 -> 5 [size =\"20510720\"]\n  5 [size=\"30892032\", alpha=\"0.11\", expect_size=\"15446016\"] \n  5 -> 6 [size =\"15446016\"]\n  6 [size=\"64669696\", alpha=\"0.15\", expect_size=\"32334848\"] \n  6 -> 7 [size =\"32334848\"]\n  7 [size=\"18184192\", alpha=\"0.05\", expect_size=\"9092096\"] \n  7 -> 8 [size =\"9092096\"]\n  8 [size=\"76492800\", alpha=\"0.07\", expect_size=\"38246400\"] \n  8 -> 9 [size =\"38246400\"]\n  9 [size=\"27355136\", alpha=\"0.01\", expect_size=\"13677568\"] \n  9 -> 10 [size =\"13677568\"]\n  10 [size=\"41121792\", alpha=\"0.12\", expect_size=\"20560896\"] \n  10 -> 11 [size =\"20560896\"]\n  11 [size=\"60041216\", alpha=\"0.18\", expect_size=\"30020608\"] \n  11 -> 12 [size =\"30020608\"]\n  12 [size=\"61730816\", alpha=\"0.17\", expect_size=\"30865408\"] \n  12 -> 13 [size =\"30865408\"]\n  13 [size=\"37615616\", alpha=\"0.19\", expect_size=\"18807808\"] \n  13 -> 14 [size =\"18807808\"]\n  14 [size=\"13676544\", alpha=\"0.16\", expect_size=\"6838272\"] \n  14 -> 15 [size =\"6838272\"]\n  15 [size=\"28526592\", alpha=\"0.19\", expect_size=\"14263296\"] \n  15 -> 16 [size =\"14263296\"]\n  16 [size=\"82644992\", alpha=\"0.11\", expect_size=\"41322496\"] \n  16 -> 17 [size =\"41322496\"]\n  17 [size=\"57016320\", alpha=\"0.16\", expect_size=\"28508160\"] \n  17 -> 18 [size =\"28508160\"]\n  18 [size=\"81903616\", alpha=\"0.04\", expect_size=\"40951808\"] \n  18 -> 19 [size =\"40951808\"]\n  19 [size=\"20355072\", alpha=\"0.00\", expect_size=\"10177536\"] \n  19 -> 20 [size =\"10177536\"]\n  20 [size=\"23580672\", alpha=\"0.04\", expect_size=\"11790336\"] \n  20 -> 21 [size =\"11790336\"]\n  21 [size=\"81172480\", alpha=\"0.07\", expect_size=\"40586240\"] \n  21 -> 22 [size =\"40586240\"]\n  22 [size=\"71088128\", alpha=\"0.07\", expect_size=\"35544064\"] \n  22 -> 23 [size =\"35544064\"]\n  23 [size=\"55953408\", alpha=\"0.00\", expect_size=\"27976704\"] \n  23 -> 24 [size =\"27976704\"]\n  24 [size=\"51189760\", alpha=\"0.01\", expect_size=\"25594880\"] \n  24 -> 25 [size =\"25594880\"]\n  25 [size=\"34430976\", alpha=\"0.05\", expect_size=\"17215488\"] \n  25 -> 26 [size =\"17215488\"]\n  26 [size=\"29661184\", alpha=\"0.01\", expect_size=\"14830592\"] \n  26 -> 27 [size =\"14830592\"]\n  27 [size=\"81479680\", alpha=\"0.18\", expect_size=\"40739840\"] \n  27 -> 28 [size =\"40739840\"]\n  28 [size=\"61335552\", alpha=\"0.10\", expect_size=\"30667776\"] \n  28 -> 29 [size =\"30667776\"]\n  29 [size=\"81166336\", alpha=\"0.05\", expect_size=\"40583168\"] \n  29 -> 30 [size =\"40583168\"]\n  30 [size=\"82728960\", alpha=\"0.07\", expect_size=\"41364480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129515520\", alpha=\"0.09\", expect_size=\"38854656\"] \n  1 -> 2 [size =\"38854656\"]\n  2 [size=\"42949973\", alpha=\"0.01\", expect_size=\"12884992\"] \n  2 -> 3 [size =\"12884992\"]\n  3 [size=\"173069653\", alpha=\"0.13\", expect_size=\"51920896\"] \n  3 -> 4 [size =\"51920896\"]\n  4 [size=\"52121600\", alpha=\"0.12\", expect_size=\"15636480\"] \n  4 -> 5 [size =\"15636480\"]\n  5 [size=\"164819627\", alpha=\"0.02\", expect_size=\"49445888\"] \n  5 -> 6 [size =\"49445888\"]\n  6 [size=\"61180587\", alpha=\"0.03\", expect_size=\"18354176\"] \n  6 -> 7 [size =\"18354176\"]\n  7 [size=\"145459200\", alpha=\"0.10\", expect_size=\"43637760\"] \n  7 -> 8 [size =\"43637760\"]\n  8 [size=\"108090027\", alpha=\"0.20\", expect_size=\"32427008\"] \n  8 -> 9 [size =\"32427008\"]\n  9 [size=\"142909440\", alpha=\"0.13\", expect_size=\"42872832\"] \n  9 -> 10 [size =\"42872832\"]\n  10 [size=\"74540373\", alpha=\"0.18\", expect_size=\"22362112\"] \n  10 -> 11 [size =\"22362112\"]\n  11 [size=\"126167040\", alpha=\"0.12\", expect_size=\"37850112\"] \n  11 -> 12 [size =\"37850112\"]\n  12 [size=\"43144533\", alpha=\"0.02\", expect_size=\"12943360\"] \n  12 -> 13 [size =\"12943360\"]\n  13 [size=\"53739520\", alpha=\"0.20\", expect_size=\"16121856\"] \n  13 -> 14 [size =\"16121856\"]\n  14 [size=\"157576533\", alpha=\"0.16\", expect_size=\"47272960\"] \n  14 -> 15 [size =\"47272960\"]\n  15 [size=\"93313707\", alpha=\"0.04\", expect_size=\"27994112\"] \n  15 -> 16 [size =\"27994112\"]\n  16 [size=\"111076693\", alpha=\"0.10\", expect_size=\"33323008\"] \n  16 -> 17 [size =\"33323008\"]\n  17 [size=\"132106240\", alpha=\"0.06\", expect_size=\"39631872\"] \n  17 -> 18 [size =\"39631872\"]\n  18 [size=\"52845227\", alpha=\"0.08\", expect_size=\"15853568\"] \n  18 -> 19 [size =\"15853568\"]\n  19 [size=\"51322880\", alpha=\"0.17\", expect_size=\"15396864\"] \n  19 -> 20 [size =\"15396864\"]\n  20 [size=\"152169813\", alpha=\"0.01\", expect_size=\"45650944\"] \n  20 -> 21 [size =\"45650944\"]\n  21 [size=\"137977173\", alpha=\"0.00\", expect_size=\"41393152\"] \n  21 -> 22 [size =\"41393152\"]\n  22 [size=\"75636053\", alpha=\"0.02\", expect_size=\"22690816\"] \n  22 -> 23 [size =\"22690816\"]\n  23 [size=\"91921067\", alpha=\"0.04\", expect_size=\"27576320\"] \n  23 -> 24 [size =\"27576320\"]\n  24 [size=\"90562560\", alpha=\"0.11\", expect_size=\"27168768\"] \n  24 -> 25 [size =\"27168768\"]\n  25 [size=\"61364907\", alpha=\"0.16\", expect_size=\"18409472\"] \n  25 -> 26 [size =\"18409472\"]\n  26 [size=\"92419413\", alpha=\"0.06\", expect_size=\"27725824\"] \n  26 -> 27 [size =\"27725824\"]\n  27 [size=\"167301120\", alpha=\"0.13\", expect_size=\"50190336\"] \n  27 -> 28 [size =\"50190336\"]\n  28 [size=\"54562133\", alpha=\"0.11\", expect_size=\"16368640\"] \n  28 -> 29 [size =\"16368640\"]\n  29 [size=\"115855360\", alpha=\"0.06\", expect_size=\"34756608\"] \n  29 -> 30 [size =\"34756608\"]\n  30 [size=\"91238400\", alpha=\"0.07\", expect_size=\"27371520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19916800\", alpha=\"0.09\", expect_size=\"7966720\"] \n  1 -> 27 [size =\"7966720\"]\n  1 -> 30 [size =\"7966720\"]\n  2 [size=\"45224960\", alpha=\"0.14\", expect_size=\"18089984\"] \n  2 -> 24 [size =\"18089984\"]\n  3 [size=\"112901120\", alpha=\"0.19\", expect_size=\"45160448\"] \n  3 -> 27 [size =\"45160448\"]\n  4 [size=\"77399040\", alpha=\"0.13\", expect_size=\"30959616\"] \n  4 -> 30 [size =\"30959616\"]\n  5 [size=\"52021760\", alpha=\"0.18\", expect_size=\"20808704\"] \n  6 [size=\"21483520\", alpha=\"0.04\", expect_size=\"8593408\"] \n  6 -> 26 [size =\"8593408\"]\n  7 [size=\"121049600\", alpha=\"0.18\", expect_size=\"48419840\"] \n  7 -> 25 [size =\"48419840\"]\n  7 -> 27 [size =\"48419840\"]\n  8 [size=\"127889920\", alpha=\"0.12\", expect_size=\"51155968\"] \n  8 -> 25 [size =\"51155968\"]\n  8 -> 30 [size =\"51155968\"]\n  9 [size=\"130603520\", alpha=\"0.09\", expect_size=\"52241408\"] \n  9 -> 30 [size =\"52241408\"]\n  10 [size=\"127439360\", alpha=\"0.02\", expect_size=\"50975744\"] \n  10 -> 25 [size =\"50975744\"]\n  10 -> 27 [size =\"50975744\"]\n  10 -> 30 [size =\"50975744\"]\n  11 [size=\"65226240\", alpha=\"0.11\", expect_size=\"26090496\"] \n  11 -> 30 [size =\"26090496\"]\n  12 [size=\"120230400\", alpha=\"0.03\", expect_size=\"48092160\"] \n  12 -> 25 [size =\"48092160\"]\n  12 -> 29 [size =\"48092160\"]\n  13 [size=\"83243520\", alpha=\"0.06\", expect_size=\"33297408\"] \n  14 [size=\"77880320\", alpha=\"0.13\", expect_size=\"31152128\"] \n  14 -> 25 [size =\"31152128\"]\n  14 -> 26 [size =\"31152128\"]\n  15 [size=\"34265600\", alpha=\"0.19\", expect_size=\"13706240\"] \n  15 -> 26 [size =\"13706240\"]\n  15 -> 26 [size =\"13706240\"]\n  16 [size=\"21317120\", alpha=\"0.18\", expect_size=\"8526848\"] \n  16 -> 23 [size =\"8526848\"]\n  16 -> 26 [size =\"8526848\"]\n  17 [size=\"44157440\", alpha=\"0.16\", expect_size=\"17662976\"] \n  17 -> 26 [size =\"17662976\"]\n  18 [size=\"33420800\", alpha=\"0.03\", expect_size=\"13368320\"] \n  18 -> 25 [size =\"13368320\"]\n  18 -> 26 [size =\"13368320\"]\n  19 [size=\"106606080\", alpha=\"0.16\", expect_size=\"42642432\"] \n  19 -> 29 [size =\"42642432\"]\n  20 [size=\"43706880\", alpha=\"0.05\", expect_size=\"17482752\"] \n  20 -> 28 [size =\"17482752\"]\n  20 -> 30 [size =\"17482752\"]\n  21 [size=\"56857600\", alpha=\"0.16\", expect_size=\"22743040\"] \n  21 -> 30 [size =\"22743040\"]\n  22 [size=\"123005440\", alpha=\"0.12\", expect_size=\"49202176\"] \n  22 -> 26 [size =\"49202176\"]\n  22 -> 30 [size =\"49202176\"]\n  23 [size=\"25620480\", alpha=\"0.04\", expect_size=\"10248192\"] \n  24 [size=\"59056640\", alpha=\"0.08\", expect_size=\"23622656\"] \n  25 [size=\"17940480\", alpha=\"0.18\", expect_size=\"7176192\"] \n  26 [size=\"14709760\", alpha=\"0.10\", expect_size=\"5883904\"] \n  27 [size=\"120322560\", alpha=\"0.20\", expect_size=\"48129024\"] \n  28 [size=\"98173440\", alpha=\"0.09\", expect_size=\"39269376\"] \n  29 [size=\"113482240\", alpha=\"0.18\", expect_size=\"45392896\"] \n  30 [size=\"91087360\", alpha=\"0.07\", expect_size=\"36434944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45230080\", alpha=\"0.08\", expect_size=\"13569024\"] \n  1 -> 2 [size =\"13569024\"]\n  2 [size=\"70451200\", alpha=\"0.04\", expect_size=\"21135360\"] \n  2 -> 3 [size =\"21135360\"]\n  3 [size=\"24951467\", alpha=\"0.20\", expect_size=\"7485440\"] \n  3 -> 4 [size =\"7485440\"]\n  4 [size=\"17575253\", alpha=\"0.19\", expect_size=\"5272576\"] \n  4 -> 5 [size =\"5272576\"]\n  5 [size=\"153494187\", alpha=\"0.13\", expect_size=\"46048256\"] \n  5 -> 6 [size =\"46048256\"]\n  6 [size=\"44567893\", alpha=\"0.18\", expect_size=\"13370368\"] \n  6 -> 7 [size =\"13370368\"]\n  7 [size=\"59139413\", alpha=\"0.18\", expect_size=\"17741824\"] \n  7 -> 8 [size =\"17741824\"]\n  8 [size=\"67215360\", alpha=\"0.14\", expect_size=\"20164608\"] \n  8 -> 9 [size =\"20164608\"]\n  9 [size=\"20807680\", alpha=\"0.06\", expect_size=\"6242304\"] \n  9 -> 10 [size =\"6242304\"]\n  10 [size=\"84176213\", alpha=\"0.18\", expect_size=\"25252864\"] \n  10 -> 11 [size =\"25252864\"]\n  11 [size=\"96969387\", alpha=\"0.18\", expect_size=\"29090816\"] \n  11 -> 12 [size =\"29090816\"]\n  12 [size=\"156190720\", alpha=\"0.20\", expect_size=\"46857216\"] \n  12 -> 13 [size =\"46857216\"]\n  13 [size=\"31382187\", alpha=\"0.18\", expect_size=\"9414656\"] \n  13 -> 14 [size =\"9414656\"]\n  14 [size=\"27880107\", alpha=\"0.11\", expect_size=\"8364032\"] \n  14 -> 15 [size =\"8364032\"]\n  15 [size=\"19196587\", alpha=\"0.08\", expect_size=\"5758976\"] \n  15 -> 16 [size =\"5758976\"]\n  16 [size=\"124706133\", alpha=\"0.20\", expect_size=\"37411840\"] \n  16 -> 17 [size =\"37411840\"]\n  17 [size=\"111329280\", alpha=\"0.07\", expect_size=\"33398784\"] \n  17 -> 18 [size =\"33398784\"]\n  18 [size=\"98914987\", alpha=\"0.05\", expect_size=\"29674496\"] \n  18 -> 19 [size =\"29674496\"]\n  19 [size=\"55241387\", alpha=\"0.08\", expect_size=\"16572416\"] \n  19 -> 20 [size =\"16572416\"]\n  20 [size=\"100136960\", alpha=\"0.03\", expect_size=\"30041088\"] \n  20 -> 21 [size =\"30041088\"]\n  21 [size=\"87296000\", alpha=\"0.01\", expect_size=\"26188800\"] \n  21 -> 22 [size =\"26188800\"]\n  22 [size=\"73004373\", alpha=\"0.05\", expect_size=\"21901312\"] \n  22 -> 23 [size =\"21901312\"]\n  23 [size=\"70679893\", alpha=\"0.11\", expect_size=\"21203968\"] \n  23 -> 24 [size =\"21203968\"]\n  24 [size=\"53725867\", alpha=\"0.16\", expect_size=\"16117760\"] \n  24 -> 25 [size =\"16117760\"]\n  25 [size=\"143680853\", alpha=\"0.19\", expect_size=\"43104256\"] \n  25 -> 26 [size =\"43104256\"]\n  26 [size=\"51780267\", alpha=\"0.05\", expect_size=\"15534080\"] \n  26 -> 27 [size =\"15534080\"]\n  27 [size=\"50589013\", alpha=\"0.17\", expect_size=\"15176704\"] \n  27 -> 28 [size =\"15176704\"]\n  28 [size=\"108718080\", alpha=\"0.15\", expect_size=\"32615424\"] \n  28 -> 29 [size =\"32615424\"]\n  29 [size=\"149964800\", alpha=\"0.13\", expect_size=\"44989440\"] \n  29 -> 30 [size =\"44989440\"]\n  30 [size=\"58760533\", alpha=\"0.00\", expect_size=\"17628160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17740800\", alpha=\"0.19\", expect_size=\"7096320\"] \n  1 -> 2 [size =\"7096320\"]\n  2 [size=\"112035840\", alpha=\"0.08\", expect_size=\"44814336\"] \n  2 -> 3 [size =\"44814336\"]\n  3 [size=\"121254400\", alpha=\"0.14\", expect_size=\"48501760\"] \n  3 -> 4 [size =\"48501760\"]\n  4 [size=\"30371840\", alpha=\"0.07\", expect_size=\"12148736\"] \n  4 -> 5 [size =\"12148736\"]\n  5 [size=\"37163520\", alpha=\"0.18\", expect_size=\"14865408\"] \n  5 -> 6 [size =\"14865408\"]\n  5 -> 7 [size =\"14865408\"]\n  6 [size=\"89948160\", alpha=\"0.02\", expect_size=\"35979264\"] \n  7 [size=\"27770880\", alpha=\"0.18\", expect_size=\"11108352\"] \n  7 -> 8 [size =\"11108352\"]\n  8 [size=\"105556480\", alpha=\"0.01\", expect_size=\"42222592\"] \n  8 -> 9 [size =\"42222592\"]\n  9 [size=\"69616640\", alpha=\"0.05\", expect_size=\"27846656\"] \n  9 -> 10 [size =\"27846656\"]\n  9 -> 11 [size =\"27846656\"]\n  10 [size=\"85404160\", alpha=\"0.14\", expect_size=\"34161664\"] \n  11 [size=\"113246720\", alpha=\"0.01\", expect_size=\"45298688\"] \n  11 -> 12 [size =\"45298688\"]\n  12 [size=\"108843520\", alpha=\"0.15\", expect_size=\"43537408\"] \n  12 -> 13 [size =\"43537408\"]\n  13 [size=\"40962560\", alpha=\"0.12\", expect_size=\"16385024\"] \n  13 -> 14 [size =\"16385024\"]\n  14 [size=\"122721280\", alpha=\"0.14\", expect_size=\"49088512\"] \n  14 -> 15 [size =\"49088512\"]\n  15 [size=\"45921280\", alpha=\"0.02\", expect_size=\"18368512\"] \n  15 -> 16 [size =\"18368512\"]\n  16 [size=\"36177920\", alpha=\"0.00\", expect_size=\"14471168\"] \n  16 -> 17 [size =\"14471168\"]\n  16 -> 18 [size =\"14471168\"]\n  17 [size=\"49236480\", alpha=\"0.06\", expect_size=\"19694592\"] \n  17 -> 19 [size =\"19694592\"]\n  17 -> 20 [size =\"19694592\"]\n  18 [size=\"38384640\", alpha=\"0.13\", expect_size=\"15353856\"] \n  18 -> 19 [size =\"15353856\"]\n  18 -> 20 [size =\"15353856\"]\n  19 [size=\"42792960\", alpha=\"0.07\", expect_size=\"17117184\"] \n  19 -> 21 [size =\"17117184\"]\n  20 [size=\"71521280\", alpha=\"0.06\", expect_size=\"28608512\"] \n  21 [size=\"36503040\", alpha=\"0.06\", expect_size=\"14601216\"] \n  21 -> 22 [size =\"14601216\"]\n  22 [size=\"41328640\", alpha=\"0.02\", expect_size=\"16531456\"] \n  22 -> 23 [size =\"16531456\"]\n  22 -> 24 [size =\"16531456\"]\n  23 [size=\"14041600\", alpha=\"0.17\", expect_size=\"5616640\"] \n  23 -> 25 [size =\"5616640\"]\n  24 [size=\"87426560\", alpha=\"0.14\", expect_size=\"34970624\"] \n  24 -> 25 [size =\"34970624\"]\n  25 [size=\"49515520\", alpha=\"0.16\", expect_size=\"19806208\"] \n  25 -> 26 [size =\"19806208\"]\n  26 [size=\"61619200\", alpha=\"0.10\", expect_size=\"24647680\"] \n  26 -> 27 [size =\"24647680\"]\n  27 [size=\"63969280\", alpha=\"0.08\", expect_size=\"25587712\"] \n  27 -> 28 [size =\"25587712\"]\n  28 [size=\"96496640\", alpha=\"0.01\", expect_size=\"38598656\"] \n  28 -> 29 [size =\"38598656\"]\n  29 [size=\"55137280\", alpha=\"0.03\", expect_size=\"22054912\"] \n  29 -> 30 [size =\"22054912\"]\n  30 [size=\"98245120\", alpha=\"0.18\", expect_size=\"39298048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45432832\", alpha=\"0.11\", expect_size=\"22716416\"] \n  1 -> 28 [size =\"22716416\"]\n  1 -> 29 [size =\"22716416\"]\n  2 [size=\"66476032\", alpha=\"0.19\", expect_size=\"33238016\"] \n  2 -> 28 [size =\"33238016\"]\n  3 [size=\"74121216\", alpha=\"0.10\", expect_size=\"37060608\"] \n  3 -> 30 [size =\"37060608\"]\n  4 [size=\"11524096\", alpha=\"0.19\", expect_size=\"5762048\"] \n  4 -> 29 [size =\"5762048\"]\n  5 [size=\"36270080\", alpha=\"0.10\", expect_size=\"18135040\"] \n  5 -> 28 [size =\"18135040\"]\n  6 [size=\"24573952\", alpha=\"0.03\", expect_size=\"12286976\"] \n  6 -> 28 [size =\"12286976\"]\n  6 -> 29 [size =\"12286976\"]\n  7 [size=\"42637312\", alpha=\"0.12\", expect_size=\"21318656\"] \n  8 [size=\"28399616\", alpha=\"0.20\", expect_size=\"14199808\"] \n  8 -> 28 [size =\"14199808\"]\n  8 -> 29 [size =\"14199808\"]\n  9 [size=\"33429504\", alpha=\"0.00\", expect_size=\"16714752\"] \n  9 -> 29 [size =\"16714752\"]\n  9 -> 29 [size =\"16714752\"]\n  9 -> 30 [size =\"16714752\"]\n  10 [size=\"89653248\", alpha=\"0.16\", expect_size=\"44826624\"] \n  10 -> 28 [size =\"44826624\"]\n  11 [size=\"37644288\", alpha=\"0.13\", expect_size=\"18822144\"] \n  11 -> 28 [size =\"18822144\"]\n  11 -> 29 [size =\"18822144\"]\n  12 [size=\"91242496\", alpha=\"0.19\", expect_size=\"45621248\"] \n  12 -> 28 [size =\"45621248\"]\n  13 [size=\"86876160\", alpha=\"0.01\", expect_size=\"43438080\"] \n  13 -> 28 [size =\"43438080\"]\n  14 [size=\"40441856\", alpha=\"0.17\", expect_size=\"20220928\"] \n  15 [size=\"34498560\", alpha=\"0.18\", expect_size=\"17249280\"] \n  15 -> 28 [size =\"17249280\"]\n  15 -> 29 [size =\"17249280\"]\n  15 -> 30 [size =\"17249280\"]\n  16 [size=\"79360000\", alpha=\"0.20\", expect_size=\"39680000\"] \n  16 -> 28 [size =\"39680000\"]\n  16 -> 29 [size =\"39680000\"]\n  16 -> 30 [size =\"39680000\"]\n  17 [size=\"94404608\", alpha=\"0.14\", expect_size=\"47202304\"] \n  17 -> 28 [size =\"47202304\"]\n  17 -> 30 [size =\"47202304\"]\n  18 [size=\"58519552\", alpha=\"0.18\", expect_size=\"29259776\"] \n  18 -> 29 [size =\"29259776\"]\n  19 [size=\"57477120\", alpha=\"0.15\", expect_size=\"28738560\"] \n  19 -> 29 [size =\"28738560\"]\n  19 -> 30 [size =\"28738560\"]\n  20 [size=\"58726400\", alpha=\"0.18\", expect_size=\"29363200\"] \n  20 -> 28 [size =\"29363200\"]\n  21 [size=\"40435712\", alpha=\"0.08\", expect_size=\"20217856\"] \n  21 -> 28 [size =\"20217856\"]\n  21 -> 29 [size =\"20217856\"]\n  22 [size=\"104007680\", alpha=\"0.10\", expect_size=\"52003840\"] \n  22 -> 28 [size =\"52003840\"]\n  22 -> 30 [size =\"52003840\"]\n  23 [size=\"99323904\", alpha=\"0.06\", expect_size=\"49661952\"] \n  23 -> 28 [size =\"49661952\"]\n  24 [size=\"10954752\", alpha=\"0.01\", expect_size=\"5477376\"] \n  24 -> 28 [size =\"5477376\"]\n  24 -> 29 [size =\"5477376\"]\n  25 [size=\"89735168\", alpha=\"0.03\", expect_size=\"44867584\"] \n  25 -> 28 [size =\"44867584\"]\n  26 [size=\"81055744\", alpha=\"0.07\", expect_size=\"40527872\"] \n  26 -> 28 [size =\"40527872\"]\n  26 -> 29 [size =\"40527872\"]\n  27 [size=\"79474688\", alpha=\"0.18\", expect_size=\"39737344\"] \n  27 -> 28 [size =\"39737344\"]\n  27 -> 29 [size =\"39737344\"]\n  28 [size=\"52809728\", alpha=\"0.13\", expect_size=\"26404864\"] \n  29 [size=\"43634688\", alpha=\"0.13\", expect_size=\"21817344\"] \n  30 [size=\"19494912\", alpha=\"0.09\", expect_size=\"9747456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45621248\", alpha=\"0.05\", expect_size=\"22810624\"] \n  1 -> 2 [size =\"22810624\"]\n  2 [size=\"43362304\", alpha=\"0.04\", expect_size=\"21681152\"] \n  2 -> 3 [size =\"21681152\"]\n  3 [size=\"93906944\", alpha=\"0.14\", expect_size=\"46953472\"] \n  3 -> 4 [size =\"46953472\"]\n  4 [size=\"73730048\", alpha=\"0.05\", expect_size=\"36865024\"] \n  4 -> 5 [size =\"36865024\"]\n  5 [size=\"11065344\", alpha=\"0.16\", expect_size=\"5532672\"] \n  5 -> 6 [size =\"5532672\"]\n  6 [size=\"35405824\", alpha=\"0.03\", expect_size=\"17702912\"] \n  6 -> 7 [size =\"17702912\"]\n  7 [size=\"99543040\", alpha=\"0.02\", expect_size=\"49771520\"] \n  7 -> 8 [size =\"49771520\"]\n  8 [size=\"51183616\", alpha=\"0.13\", expect_size=\"25591808\"] \n  8 -> 9 [size =\"25591808\"]\n  9 [size=\"92192768\", alpha=\"0.02\", expect_size=\"46096384\"] \n  9 -> 10 [size =\"46096384\"]\n  10 [size=\"60620800\", alpha=\"0.05\", expect_size=\"30310400\"] \n  10 -> 11 [size =\"30310400\"]\n  11 [size=\"10565632\", alpha=\"0.09\", expect_size=\"5282816\"] \n  11 -> 12 [size =\"5282816\"]\n  12 [size=\"33667072\", alpha=\"0.04\", expect_size=\"16833536\"] \n  12 -> 13 [size =\"16833536\"]\n  13 [size=\"50731008\", alpha=\"0.18\", expect_size=\"25365504\"] \n  13 -> 14 [size =\"25365504\"]\n  14 [size=\"24723456\", alpha=\"0.18\", expect_size=\"12361728\"] \n  14 -> 15 [size =\"12361728\"]\n  15 [size=\"48396288\", alpha=\"0.19\", expect_size=\"24198144\"] \n  15 -> 16 [size =\"24198144\"]\n  16 [size=\"28637184\", alpha=\"0.20\", expect_size=\"14318592\"] \n  16 -> 17 [size =\"14318592\"]\n  17 [size=\"40714240\", alpha=\"0.10\", expect_size=\"20357120\"] \n  17 -> 18 [size =\"20357120\"]\n  18 [size=\"51030016\", alpha=\"0.07\", expect_size=\"25515008\"] \n  18 -> 19 [size =\"25515008\"]\n  19 [size=\"16326656\", alpha=\"0.17\", expect_size=\"8163328\"] \n  19 -> 20 [size =\"8163328\"]\n  20 [size=\"23556096\", alpha=\"0.01\", expect_size=\"11778048\"] \n  20 -> 21 [size =\"11778048\"]\n  21 [size=\"49100800\", alpha=\"0.13\", expect_size=\"24550400\"] \n  21 -> 22 [size =\"24550400\"]\n  22 [size=\"93765632\", alpha=\"0.12\", expect_size=\"46882816\"] \n  22 -> 23 [size =\"46882816\"]\n  23 [size=\"16586752\", alpha=\"0.08\", expect_size=\"8293376\"] \n  23 -> 24 [size =\"8293376\"]\n  24 [size=\"100413440\", alpha=\"0.18\", expect_size=\"50206720\"] \n  24 -> 25 [size =\"50206720\"]\n  25 [size=\"88633344\", alpha=\"0.09\", expect_size=\"44316672\"] \n  25 -> 26 [size =\"44316672\"]\n  26 [size=\"82401280\", alpha=\"0.04\", expect_size=\"41200640\"] \n  26 -> 27 [size =\"41200640\"]\n  27 [size=\"80824320\", alpha=\"0.18\", expect_size=\"40412160\"] \n  27 -> 28 [size =\"40412160\"]\n  28 [size=\"32901120\", alpha=\"0.01\", expect_size=\"16450560\"] \n  28 -> 29 [size =\"16450560\"]\n  29 [size=\"65159168\", alpha=\"0.01\", expect_size=\"32579584\"] \n  29 -> 30 [size =\"32579584\"]\n  30 [size=\"49502208\", alpha=\"0.12\", expect_size=\"24751104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85040640\", alpha=\"0.04\", expect_size=\"34016256\"] \n  1 -> 2 [size =\"34016256\"]\n  2 [size=\"94735360\", alpha=\"0.00\", expect_size=\"37894144\"] \n  2 -> 3 [size =\"37894144\"]\n  3 [size=\"92152320\", alpha=\"0.13\", expect_size=\"36860928\"] \n  3 -> 4 [size =\"36860928\"]\n  4 [size=\"80130560\", alpha=\"0.04\", expect_size=\"32052224\"] \n  4 -> 5 [size =\"32052224\"]\n  5 [size=\"40107520\", alpha=\"0.16\", expect_size=\"16043008\"] \n  5 -> 6 [size =\"16043008\"]\n  6 [size=\"68664320\", alpha=\"0.00\", expect_size=\"27465728\"] \n  6 -> 7 [size =\"27465728\"]\n  7 [size=\"34347520\", alpha=\"0.07\", expect_size=\"13739008\"] \n  7 -> 8 [size =\"13739008\"]\n  8 [size=\"50053120\", alpha=\"0.05\", expect_size=\"20021248\"] \n  8 -> 9 [size =\"20021248\"]\n  9 [size=\"129981440\", alpha=\"0.03\", expect_size=\"51992576\"] \n  9 -> 10 [size =\"51992576\"]\n  10 [size=\"22113280\", alpha=\"0.01\", expect_size=\"8845312\"] \n  10 -> 11 [size =\"8845312\"]\n  11 [size=\"92620800\", alpha=\"0.03\", expect_size=\"37048320\"] \n  11 -> 12 [size =\"37048320\"]\n  12 [size=\"116067840\", alpha=\"0.08\", expect_size=\"46427136\"] \n  12 -> 13 [size =\"46427136\"]\n  13 [size=\"116369920\", alpha=\"0.07\", expect_size=\"46547968\"] \n  13 -> 14 [size =\"46547968\"]\n  14 [size=\"73410560\", alpha=\"0.06\", expect_size=\"29364224\"] \n  14 -> 15 [size =\"29364224\"]\n  15 [size=\"94750720\", alpha=\"0.02\", expect_size=\"37900288\"] \n  15 -> 16 [size =\"37900288\"]\n  16 [size=\"73973760\", alpha=\"0.06\", expect_size=\"29589504\"] \n  16 -> 17 [size =\"29589504\"]\n  17 [size=\"76828160\", alpha=\"0.07\", expect_size=\"30731264\"] \n  17 -> 18 [size =\"30731264\"]\n  18 [size=\"115653120\", alpha=\"0.18\", expect_size=\"46261248\"] \n  18 -> 19 [size =\"46261248\"]\n  19 [size=\"28106240\", alpha=\"0.10\", expect_size=\"11242496\"] \n  19 -> 20 [size =\"11242496\"]\n  20 [size=\"47129600\", alpha=\"0.05\", expect_size=\"18851840\"] \n  20 -> 21 [size =\"18851840\"]\n  21 [size=\"52006400\", alpha=\"0.12\", expect_size=\"20802560\"] \n  21 -> 22 [size =\"20802560\"]\n  22 [size=\"69373440\", alpha=\"0.13\", expect_size=\"27749376\"] \n  22 -> 23 [size =\"27749376\"]\n  23 [size=\"116600320\", alpha=\"0.07\", expect_size=\"46640128\"] \n  23 -> 24 [size =\"46640128\"]\n  24 [size=\"42721280\", alpha=\"0.13\", expect_size=\"17088512\"] \n  24 -> 25 [size =\"17088512\"]\n  25 [size=\"77934080\", alpha=\"0.03\", expect_size=\"31173632\"] \n  25 -> 26 [size =\"31173632\"]\n  26 [size=\"89661440\", alpha=\"0.03\", expect_size=\"35864576\"] \n  26 -> 27 [size =\"35864576\"]\n  27 [size=\"126479360\", alpha=\"0.07\", expect_size=\"50591744\"] \n  27 -> 28 [size =\"50591744\"]\n  28 [size=\"52569600\", alpha=\"0.16\", expect_size=\"21027840\"] \n  28 -> 29 [size =\"21027840\"]\n  29 [size=\"39257600\", alpha=\"0.06\", expect_size=\"15703040\"] \n  29 -> 30 [size =\"15703040\"]\n  30 [size=\"99023360\", alpha=\"0.16\", expect_size=\"39609344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169560747\", alpha=\"0.08\", expect_size=\"50868224\"] \n  1 -> 2 [size =\"50868224\"]\n  2 [size=\"40161280\", alpha=\"0.19\", expect_size=\"12048384\"] \n  2 -> 3 [size =\"12048384\"]\n  3 [size=\"101133653\", alpha=\"0.12\", expect_size=\"30340096\"] \n  3 -> 4 [size =\"30340096\"]\n  4 [size=\"125736960\", alpha=\"0.01\", expect_size=\"37721088\"] \n  4 -> 5 [size =\"37721088\"]\n  5 [size=\"56487253\", alpha=\"0.11\", expect_size=\"16946176\"] \n  5 -> 6 [size =\"16946176\"]\n  6 [size=\"142090240\", alpha=\"0.02\", expect_size=\"42627072\"] \n  6 -> 7 [size =\"42627072\"]\n  7 [size=\"97030827\", alpha=\"0.06\", expect_size=\"29109248\"] \n  7 -> 8 [size =\"29109248\"]\n  8 [size=\"151995733\", alpha=\"0.13\", expect_size=\"45598720\"] \n  8 -> 9 [size =\"45598720\"]\n  9 [size=\"157842773\", alpha=\"0.04\", expect_size=\"47352832\"] \n  9 -> 10 [size =\"47352832\"]\n  10 [size=\"139386880\", alpha=\"0.01\", expect_size=\"41816064\"] \n  10 -> 11 [size =\"41816064\"]\n  11 [size=\"142271147\", alpha=\"0.00\", expect_size=\"42681344\"] \n  11 -> 12 [size =\"42681344\"]\n  12 [size=\"48865280\", alpha=\"0.15\", expect_size=\"14659584\"] \n  12 -> 13 [size =\"14659584\"]\n  13 [size=\"42615467\", alpha=\"0.09\", expect_size=\"12784640\"] \n  13 -> 14 [size =\"12784640\"]\n  14 [size=\"139782827\", alpha=\"0.09\", expect_size=\"41934848\"] \n  14 -> 15 [size =\"41934848\"]\n  15 [size=\"150999040\", alpha=\"0.17\", expect_size=\"45299712\"] \n  15 -> 16 [size =\"45299712\"]\n  16 [size=\"84142080\", alpha=\"0.08\", expect_size=\"25242624\"] \n  16 -> 17 [size =\"25242624\"]\n  17 [size=\"97515520\", alpha=\"0.20\", expect_size=\"29254656\"] \n  17 -> 18 [size =\"29254656\"]\n  18 [size=\"147981653\", alpha=\"0.02\", expect_size=\"44394496\"] \n  18 -> 19 [size =\"44394496\"]\n  19 [size=\"95883947\", alpha=\"0.06\", expect_size=\"28765184\"] \n  19 -> 20 [size =\"28765184\"]\n  20 [size=\"125149867\", alpha=\"0.09\", expect_size=\"37544960\"] \n  20 -> 21 [size =\"37544960\"]\n  21 [size=\"135458133\", alpha=\"0.11\", expect_size=\"40637440\"] \n  21 -> 22 [size =\"40637440\"]\n  22 [size=\"136325120\", alpha=\"0.16\", expect_size=\"40897536\"] \n  22 -> 23 [size =\"40897536\"]\n  23 [size=\"95842987\", alpha=\"0.11\", expect_size=\"28752896\"] \n  23 -> 24 [size =\"28752896\"]\n  24 [size=\"165068800\", alpha=\"0.01\", expect_size=\"49520640\"] \n  24 -> 25 [size =\"49520640\"]\n  25 [size=\"75397120\", alpha=\"0.15\", expect_size=\"22619136\"] \n  25 -> 26 [size =\"22619136\"]\n  26 [size=\"51298987\", alpha=\"0.05\", expect_size=\"15389696\"] \n  26 -> 27 [size =\"15389696\"]\n  27 [size=\"116712107\", alpha=\"0.05\", expect_size=\"35013632\"] \n  27 -> 28 [size =\"35013632\"]\n  28 [size=\"114879147\", alpha=\"0.03\", expect_size=\"34463744\"] \n  28 -> 29 [size =\"34463744\"]\n  29 [size=\"133280427\", alpha=\"0.18\", expect_size=\"39984128\"] \n  29 -> 30 [size =\"39984128\"]\n  30 [size=\"22961493\", alpha=\"0.08\", expect_size=\"6888448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75081728\", alpha=\"0.03\", expect_size=\"37540864\"] \n  1 -> 29 [size =\"37540864\"]\n  2 [size=\"49776640\", alpha=\"0.14\", expect_size=\"24888320\"] \n  2 -> 27 [size =\"24888320\"]\n  2 -> 29 [size =\"24888320\"]\n  2 -> 30 [size =\"24888320\"]\n  3 [size=\"10975232\", alpha=\"0.11\", expect_size=\"5487616\"] \n  3 -> 27 [size =\"5487616\"]\n  3 -> 28 [size =\"5487616\"]\n  3 -> 29 [size =\"5487616\"]\n  3 -> 30 [size =\"5487616\"]\n  4 [size=\"55797760\", alpha=\"0.15\", expect_size=\"27898880\"] \n  4 -> 27 [size =\"27898880\"]\n  4 -> 28 [size =\"27898880\"]\n  4 -> 29 [size =\"27898880\"]\n  5 [size=\"31283200\", alpha=\"0.01\", expect_size=\"15641600\"] \n  5 -> 27 [size =\"15641600\"]\n  5 -> 29 [size =\"15641600\"]\n  5 -> 29 [size =\"15641600\"]\n  6 [size=\"32391168\", alpha=\"0.03\", expect_size=\"16195584\"] \n  6 -> 27 [size =\"16195584\"]\n  6 -> 28 [size =\"16195584\"]\n  6 -> 29 [size =\"16195584\"]\n  7 [size=\"36128768\", alpha=\"0.07\", expect_size=\"18064384\"] \n  7 -> 27 [size =\"18064384\"]\n  7 -> 29 [size =\"18064384\"]\n  7 -> 29 [size =\"18064384\"]\n  8 [size=\"49455104\", alpha=\"0.07\", expect_size=\"24727552\"] \n  8 -> 27 [size =\"24727552\"]\n  8 -> 29 [size =\"24727552\"]\n  9 [size=\"57430016\", alpha=\"0.11\", expect_size=\"28715008\"] \n  9 -> 27 [size =\"28715008\"]\n  9 -> 29 [size =\"28715008\"]\n  9 -> 30 [size =\"28715008\"]\n  10 [size=\"30945280\", alpha=\"0.10\", expect_size=\"15472640\"] \n  10 -> 28 [size =\"15472640\"]\n  10 -> 29 [size =\"15472640\"]\n  11 [size=\"71163904\", alpha=\"0.16\", expect_size=\"35581952\"] \n  11 -> 27 [size =\"35581952\"]\n  11 -> 28 [size =\"35581952\"]\n  11 -> 30 [size =\"35581952\"]\n  12 [size=\"87261184\", alpha=\"0.04\", expect_size=\"43630592\"] \n  12 -> 28 [size =\"43630592\"]\n  13 [size=\"61014016\", alpha=\"0.07\", expect_size=\"30507008\"] \n  13 -> 28 [size =\"30507008\"]\n  13 -> 29 [size =\"30507008\"]\n  13 -> 30 [size =\"30507008\"]\n  14 [size=\"19693568\", alpha=\"0.10\", expect_size=\"9846784\"] \n  14 -> 27 [size =\"9846784\"]\n  14 -> 28 [size =\"9846784\"]\n  14 -> 29 [size =\"9846784\"]\n  15 [size=\"89933824\", alpha=\"0.07\", expect_size=\"44966912\"] \n  15 -> 27 [size =\"44966912\"]\n  15 -> 30 [size =\"44966912\"]\n  16 [size=\"95668224\", alpha=\"0.11\", expect_size=\"47834112\"] \n  16 -> 27 [size =\"47834112\"]\n  16 -> 29 [size =\"47834112\"]\n  17 [size=\"13103104\", alpha=\"0.12\", expect_size=\"6551552\"] \n  17 -> 28 [size =\"6551552\"]\n  17 -> 29 [size =\"6551552\"]\n  18 [size=\"44236800\", alpha=\"0.13\", expect_size=\"22118400\"] \n  18 -> 27 [size =\"22118400\"]\n  18 -> 28 [size =\"22118400\"]\n  18 -> 29 [size =\"22118400\"]\n  19 [size=\"77869056\", alpha=\"0.13\", expect_size=\"38934528\"] \n  19 -> 27 [size =\"38934528\"]\n  19 -> 28 [size =\"38934528\"]\n  19 -> 29 [size =\"38934528\"]\n  20 [size=\"36143104\", alpha=\"0.00\", expect_size=\"18071552\"] \n  20 -> 28 [size =\"18071552\"]\n  20 -> 28 [size =\"18071552\"]\n  20 -> 29 [size =\"18071552\"]\n  21 [size=\"83173376\", alpha=\"0.00\", expect_size=\"41586688\"] \n  21 -> 28 [size =\"41586688\"]\n  21 -> 29 [size =\"41586688\"]\n  22 [size=\"62711808\", alpha=\"0.09\", expect_size=\"31355904\"] \n  22 -> 27 [size =\"31355904\"]\n  22 -> 28 [size =\"31355904\"]\n  22 -> 29 [size =\"31355904\"]\n  22 -> 30 [size =\"31355904\"]\n  23 [size=\"83673088\", alpha=\"0.17\", expect_size=\"41836544\"] \n  23 -> 27 [size =\"41836544\"]\n  23 -> 29 [size =\"41836544\"]\n  24 [size=\"21270528\", alpha=\"0.16\", expect_size=\"10635264\"] \n  24 -> 27 [size =\"10635264\"]\n  24 -> 28 [size =\"10635264\"]\n  25 [size=\"69625856\", alpha=\"0.18\", expect_size=\"34812928\"] \n  25 -> 27 [size =\"34812928\"]\n  25 -> 28 [size =\"34812928\"]\n  25 -> 29 [size =\"34812928\"]\n  26 [size=\"101445632\", alpha=\"0.06\", expect_size=\"50722816\"] \n  27 [size=\"60364800\", alpha=\"0.18\", expect_size=\"30182400\"] \n  28 [size=\"24166400\", alpha=\"0.19\", expect_size=\"12083200\"] \n  29 [size=\"87433216\", alpha=\"0.10\", expect_size=\"43716608\"] \n  30 [size=\"56739840\", alpha=\"0.06\", expect_size=\"28369920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17472000\", alpha=\"0.13\", expect_size=\"6988800\"] \n  1 -> 10 [size =\"6988800\"]\n  1 -> 11 [size =\"6988800\"]\n  1 -> 12 [size =\"6988800\"]\n  1 -> 13 [size =\"6988800\"]\n  1 -> 14 [size =\"6988800\"]\n  1 -> 17 [size =\"6988800\"]\n  1 -> 18 [size =\"6988800\"]\n  2 [size=\"49684480\", alpha=\"0.06\", expect_size=\"19873792\"] \n  2 -> 12 [size =\"19873792\"]\n  2 -> 14 [size =\"19873792\"]\n  2 -> 15 [size =\"19873792\"]\n  2 -> 16 [size =\"19873792\"]\n  2 -> 17 [size =\"19873792\"]\n  2 -> 17 [size =\"19873792\"]\n  3 [size=\"81420800\", alpha=\"0.10\", expect_size=\"32568320\"] \n  3 -> 12 [size =\"32568320\"]\n  3 -> 13 [size =\"32568320\"]\n  3 -> 14 [size =\"32568320\"]\n  3 -> 15 [size =\"32568320\"]\n  3 -> 17 [size =\"32568320\"]\n  4 [size=\"53888000\", alpha=\"0.15\", expect_size=\"21555200\"] \n  4 -> 11 [size =\"21555200\"]\n  4 -> 12 [size =\"21555200\"]\n  4 -> 13 [size =\"21555200\"]\n  4 -> 14 [size =\"21555200\"]\n  4 -> 15 [size =\"21555200\"]\n  4 -> 16 [size =\"21555200\"]\n  4 -> 17 [size =\"21555200\"]\n  4 -> 18 [size =\"21555200\"]\n  5 [size=\"62863360\", alpha=\"0.02\", expect_size=\"25145344\"] \n  5 -> 11 [size =\"25145344\"]\n  5 -> 13 [size =\"25145344\"]\n  5 -> 14 [size =\"25145344\"]\n  5 -> 14 [size =\"25145344\"]\n  5 -> 15 [size =\"25145344\"]\n  5 -> 16 [size =\"25145344\"]\n  5 -> 18 [size =\"25145344\"]\n  6 [size=\"124779520\", alpha=\"0.13\", expect_size=\"49911808\"] \n  6 -> 12 [size =\"49911808\"]\n  6 -> 13 [size =\"49911808\"]\n  6 -> 16 [size =\"49911808\"]\n  6 -> 17 [size =\"49911808\"]\n  6 -> 18 [size =\"49911808\"]\n  7 [size=\"99645440\", alpha=\"0.00\", expect_size=\"39858176\"] \n  7 -> 11 [size =\"39858176\"]\n  7 -> 12 [size =\"39858176\"]\n  7 -> 13 [size =\"39858176\"]\n  7 -> 17 [size =\"39858176\"]\n  7 -> 18 [size =\"39858176\"]\n  8 [size=\"50076160\", alpha=\"0.18\", expect_size=\"20030464\"] \n  8 -> 11 [size =\"20030464\"]\n  8 -> 12 [size =\"20030464\"]\n  8 -> 16 [size =\"20030464\"]\n  8 -> 17 [size =\"20030464\"]\n  8 -> 18 [size =\"20030464\"]\n  9 [size=\"100615680\", alpha=\"0.01\", expect_size=\"40246272\"] \n  9 -> 11 [size =\"40246272\"]\n  9 -> 12 [size =\"40246272\"]\n  9 -> 14 [size =\"40246272\"]\n  9 -> 15 [size =\"40246272\"]\n  9 -> 16 [size =\"40246272\"]\n  9 -> 17 [size =\"40246272\"]\n  9 -> 18 [size =\"40246272\"]\n  10 [size=\"119249920\", alpha=\"0.07\", expect_size=\"47699968\"] \n  10 -> 20 [size =\"47699968\"]\n  10 -> 22 [size =\"47699968\"]\n  10 -> 24 [size =\"47699968\"]\n  10 -> 25 [size =\"47699968\"]\n  11 [size=\"51540480\", alpha=\"0.04\", expect_size=\"20616192\"] \n  11 -> 19 [size =\"20616192\"]\n  11 -> 21 [size =\"20616192\"]\n  11 -> 24 [size =\"20616192\"]\n  11 -> 25 [size =\"20616192\"]\n  11 -> 27 [size =\"20616192\"]\n  12 [size=\"129666560\", alpha=\"0.07\", expect_size=\"51866624\"] \n  12 -> 20 [size =\"51866624\"]\n  12 -> 21 [size =\"51866624\"]\n  12 -> 22 [size =\"51866624\"]\n  12 -> 23 [size =\"51866624\"]\n  12 -> 24 [size =\"51866624\"]\n  12 -> 26 [size =\"51866624\"]\n  12 -> 27 [size =\"51866624\"]\n  13 [size=\"45642240\", alpha=\"0.13\", expect_size=\"18256896\"] \n  13 -> 19 [size =\"18256896\"]\n  13 -> 20 [size =\"18256896\"]\n  13 -> 22 [size =\"18256896\"]\n  13 -> 24 [size =\"18256896\"]\n  13 -> 24 [size =\"18256896\"]\n  13 -> 27 [size =\"18256896\"]\n  13 -> 27 [size =\"18256896\"]\n  14 [size=\"102074880\", alpha=\"0.07\", expect_size=\"40829952\"] \n  14 -> 22 [size =\"40829952\"]\n  14 -> 27 [size =\"40829952\"]\n  15 [size=\"72199680\", alpha=\"0.12\", expect_size=\"28879872\"] \n  15 -> 26 [size =\"28879872\"]\n  16 [size=\"86031360\", alpha=\"0.10\", expect_size=\"34412544\"] \n  16 -> 20 [size =\"34412544\"]\n  16 -> 21 [size =\"34412544\"]\n  16 -> 22 [size =\"34412544\"]\n  16 -> 24 [size =\"34412544\"]\n  17 [size=\"46412800\", alpha=\"0.13\", expect_size=\"18565120\"] \n  17 -> 20 [size =\"18565120\"]\n  17 -> 22 [size =\"18565120\"]\n  17 -> 25 [size =\"18565120\"]\n  18 [size=\"48514560\", alpha=\"0.12\", expect_size=\"19405824\"] \n  18 -> 20 [size =\"19405824\"]\n  19 [size=\"36797440\", alpha=\"0.18\", expect_size=\"14718976\"] \n  19 -> 28 [size =\"14718976\"]\n  19 -> 30 [size =\"14718976\"]\n  20 [size=\"44362240\", alpha=\"0.10\", expect_size=\"17744896\"] \n  20 -> 28 [size =\"17744896\"]\n  20 -> 30 [size =\"17744896\"]\n  21 [size=\"86167040\", alpha=\"0.03\", expect_size=\"34466816\"] \n  21 -> 28 [size =\"34466816\"]\n  22 [size=\"111255040\", alpha=\"0.01\", expect_size=\"44502016\"] \n  22 -> 29 [size =\"44502016\"]\n  23 [size=\"32094720\", alpha=\"0.12\", expect_size=\"12837888\"] \n  23 -> 28 [size =\"12837888\"]\n  23 -> 30 [size =\"12837888\"]\n  24 [size=\"106734080\", alpha=\"0.09\", expect_size=\"42693632\"] \n  24 -> 29 [size =\"42693632\"]\n  24 -> 30 [size =\"42693632\"]\n  25 [size=\"28369920\", alpha=\"0.15\", expect_size=\"11347968\"] \n  25 -> 30 [size =\"11347968\"]\n  26 [size=\"98585600\", alpha=\"0.19\", expect_size=\"39434240\"] \n  26 -> 30 [size =\"39434240\"]\n  27 [size=\"40770560\", alpha=\"0.19\", expect_size=\"16308224\"] \n  27 -> 28 [size =\"16308224\"]\n  27 -> 30 [size =\"16308224\"]\n  28 [size=\"118914560\", alpha=\"0.04\", expect_size=\"47565824\"] \n  29 [size=\"68869120\", alpha=\"0.05\", expect_size=\"27547648\"] \n  30 [size=\"58882560\", alpha=\"0.03\", expect_size=\"23553024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48871424\", alpha=\"0.19\", expect_size=\"24435712\"] \n  1 -> 7 [size =\"24435712\"]\n  1 -> 8 [size =\"24435712\"]\n  1 -> 9 [size =\"24435712\"]\n  2 [size=\"67633152\", alpha=\"0.06\", expect_size=\"33816576\"] \n  3 [size=\"53684224\", alpha=\"0.13\", expect_size=\"26842112\"] \n  3 -> 8 [size =\"26842112\"]\n  4 [size=\"85469184\", alpha=\"0.10\", expect_size=\"42734592\"] \n  4 -> 7 [size =\"42734592\"]\n  5 [size=\"84199424\", alpha=\"0.06\", expect_size=\"42099712\"] \n  6 [size=\"71948288\", alpha=\"0.20\", expect_size=\"35974144\"] \n  6 -> 7 [size =\"35974144\"]\n  6 -> 8 [size =\"35974144\"]\n  6 -> 9 [size =\"35974144\"]\n  7 [size=\"37429248\", alpha=\"0.16\", expect_size=\"18714624\"] \n  7 -> 10 [size =\"18714624\"]\n  7 -> 12 [size =\"18714624\"]\n  8 [size=\"99385344\", alpha=\"0.06\", expect_size=\"49692672\"] \n  8 -> 11 [size =\"49692672\"]\n  8 -> 13 [size =\"49692672\"]\n  9 [size=\"87734272\", alpha=\"0.14\", expect_size=\"43867136\"] \n  10 [size=\"46999552\", alpha=\"0.10\", expect_size=\"23499776\"] \n  10 -> 15 [size =\"23499776\"]\n  11 [size=\"83509248\", alpha=\"0.15\", expect_size=\"41754624\"] \n  12 [size=\"79745024\", alpha=\"0.18\", expect_size=\"39872512\"] \n  12 -> 14 [size =\"39872512\"]\n  12 -> 16 [size =\"39872512\"]\n  12 -> 17 [size =\"39872512\"]\n  12 -> 18 [size =\"39872512\"]\n  13 [size=\"12253184\", alpha=\"0.02\", expect_size=\"6126592\"] \n  13 -> 15 [size =\"6126592\"]\n  13 -> 16 [size =\"6126592\"]\n  14 [size=\"75560960\", alpha=\"0.08\", expect_size=\"37780480\"] \n  14 -> 19 [size =\"37780480\"]\n  14 -> 21 [size =\"37780480\"]\n  15 [size=\"29302784\", alpha=\"0.09\", expect_size=\"14651392\"] \n  15 -> 20 [size =\"14651392\"]\n  15 -> 22 [size =\"14651392\"]\n  16 [size=\"55775232\", alpha=\"0.18\", expect_size=\"27887616\"] \n  17 [size=\"54560768\", alpha=\"0.05\", expect_size=\"27280384\"] \n  17 -> 20 [size =\"27280384\"]\n  17 -> 21 [size =\"27280384\"]\n  18 [size=\"36120576\", alpha=\"0.05\", expect_size=\"18060288\"] \n  18 -> 19 [size =\"18060288\"]\n  18 -> 20 [size =\"18060288\"]\n  19 [size=\"65630208\", alpha=\"0.06\", expect_size=\"32815104\"] \n  19 -> 27 [size =\"32815104\"]\n  20 [size=\"38512640\", alpha=\"0.16\", expect_size=\"19256320\"] \n  20 -> 25 [size =\"19256320\"]\n  21 [size=\"87416832\", alpha=\"0.14\", expect_size=\"43708416\"] \n  21 -> 23 [size =\"43708416\"]\n  21 -> 25 [size =\"43708416\"]\n  21 -> 26 [size =\"43708416\"]\n  22 [size=\"64055296\", alpha=\"0.04\", expect_size=\"32027648\"] \n  22 -> 24 [size =\"32027648\"]\n  22 -> 26 [size =\"32027648\"]\n  22 -> 27 [size =\"32027648\"]\n  23 [size=\"53549056\", alpha=\"0.03\", expect_size=\"26774528\"] \n  23 -> 28 [size =\"26774528\"]\n  23 -> 29 [size =\"26774528\"]\n  23 -> 30 [size =\"26774528\"]\n  24 [size=\"61622272\", alpha=\"0.18\", expect_size=\"30811136\"] \n  24 -> 29 [size =\"30811136\"]\n  24 -> 30 [size =\"30811136\"]\n  24 -> 30 [size =\"30811136\"]\n  25 [size=\"98117632\", alpha=\"0.09\", expect_size=\"49058816\"] \n  25 -> 28 [size =\"49058816\"]\n  26 [size=\"47343616\", alpha=\"0.12\", expect_size=\"23671808\"] \n  27 [size=\"35639296\", alpha=\"0.02\", expect_size=\"17819648\"] \n  27 -> 28 [size =\"17819648\"]\n  27 -> 29 [size =\"17819648\"]\n  28 [size=\"57522176\", alpha=\"0.10\", expect_size=\"28761088\"] \n  29 [size=\"78909440\", alpha=\"0.15\", expect_size=\"39454720\"] \n  30 [size=\"13185024\", alpha=\"0.07\", expect_size=\"6592512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61757440\", alpha=\"0.12\", expect_size=\"18527232\"] \n  1 -> 13 [size =\"18527232\"]\n  1 -> 15 [size =\"18527232\"]\n  1 -> 19 [size =\"18527232\"]\n  2 [size=\"17493333\", alpha=\"0.03\", expect_size=\"5248000\"] \n  2 -> 12 [size =\"5248000\"]\n  2 -> 14 [size =\"5248000\"]\n  2 -> 18 [size =\"5248000\"]\n  2 -> 20 [size =\"5248000\"]\n  2 -> 22 [size =\"5248000\"]\n  3 [size=\"37720747\", alpha=\"0.02\", expect_size=\"11316224\"] \n  3 -> 17 [size =\"11316224\"]\n  3 -> 20 [size =\"11316224\"]\n  3 -> 21 [size =\"11316224\"]\n  3 -> 22 [size =\"11316224\"]\n  4 [size=\"106605227\", alpha=\"0.12\", expect_size=\"31981568\"] \n  4 -> 17 [size =\"31981568\"]\n  4 -> 18 [size =\"31981568\"]\n  4 -> 19 [size =\"31981568\"]\n  4 -> 20 [size =\"31981568\"]\n  4 -> 21 [size =\"31981568\"]\n  5 [size=\"43359573\", alpha=\"0.18\", expect_size=\"13007872\"] \n  5 -> 16 [size =\"13007872\"]\n  5 -> 17 [size =\"13007872\"]\n  5 -> 19 [size =\"13007872\"]\n  6 [size=\"35293867\", alpha=\"0.08\", expect_size=\"10588160\"] \n  6 -> 19 [size =\"10588160\"]\n  6 -> 20 [size =\"10588160\"]\n  7 [size=\"28088320\", alpha=\"0.09\", expect_size=\"8426496\"] \n  7 -> 15 [size =\"8426496\"]\n  8 [size=\"57924267\", alpha=\"0.04\", expect_size=\"17377280\"] \n  8 -> 11 [size =\"17377280\"]\n  8 -> 17 [size =\"17377280\"]\n  8 -> 20 [size =\"17377280\"]\n  9 [size=\"39973547\", alpha=\"0.11\", expect_size=\"11992064\"] \n  9 -> 16 [size =\"11992064\"]\n  9 -> 21 [size =\"11992064\"]\n  9 -> 22 [size =\"11992064\"]\n  10 [size=\"133826560\", alpha=\"0.11\", expect_size=\"40147968\"] \n  10 -> 11 [size =\"40147968\"]\n  10 -> 15 [size =\"40147968\"]\n  10 -> 17 [size =\"40147968\"]\n  10 -> 19 [size =\"40147968\"]\n  10 -> 22 [size =\"40147968\"]\n  11 [size=\"167260160\", alpha=\"0.06\", expect_size=\"50178048\"] \n  12 [size=\"106478933\", alpha=\"0.03\", expect_size=\"31943680\"] \n  12 -> 26 [size =\"31943680\"]\n  12 -> 27 [size =\"31943680\"]\n  13 [size=\"127692800\", alpha=\"0.12\", expect_size=\"38307840\"] \n  13 -> 26 [size =\"38307840\"]\n  13 -> 27 [size =\"38307840\"]\n  13 -> 28 [size =\"38307840\"]\n  13 -> 29 [size =\"38307840\"]\n  14 [size=\"142431573\", alpha=\"0.16\", expect_size=\"42729472\"] \n  14 -> 26 [size =\"42729472\"]\n  14 -> 29 [size =\"42729472\"]\n  15 [size=\"79083520\", alpha=\"0.13\", expect_size=\"23725056\"] \n  16 [size=\"64075093\", alpha=\"0.07\", expect_size=\"19222528\"] \n  17 [size=\"126747307\", alpha=\"0.11\", expect_size=\"38024192\"] \n  17 -> 27 [size =\"38024192\"]\n  17 -> 29 [size =\"38024192\"]\n  18 [size=\"41362773\", alpha=\"0.06\", expect_size=\"12408832\"] \n  18 -> 25 [size =\"12408832\"]\n  18 -> 26 [size =\"12408832\"]\n  18 -> 27 [size =\"12408832\"]\n  18 -> 28 [size =\"12408832\"]\n  19 [size=\"74055680\", alpha=\"0.19\", expect_size=\"22216704\"] \n  19 -> 25 [size =\"22216704\"]\n  19 -> 26 [size =\"22216704\"]\n  19 -> 27 [size =\"22216704\"]\n  19 -> 29 [size =\"22216704\"]\n  20 [size=\"161904640\", alpha=\"0.10\", expect_size=\"48571392\"] \n  20 -> 23 [size =\"48571392\"]\n  20 -> 25 [size =\"48571392\"]\n  20 -> 29 [size =\"48571392\"]\n  21 [size=\"93556053\", alpha=\"0.06\", expect_size=\"28066816\"] \n  21 -> 24 [size =\"28066816\"]\n  21 -> 26 [size =\"28066816\"]\n  21 -> 27 [size =\"28066816\"]\n  22 [size=\"143022080\", alpha=\"0.02\", expect_size=\"42906624\"] \n  22 -> 24 [size =\"42906624\"]\n  23 [size=\"168478720\", alpha=\"0.01\", expect_size=\"50543616\"] \n  24 [size=\"109387093\", alpha=\"0.12\", expect_size=\"32816128\"] \n  25 [size=\"79066453\", alpha=\"0.05\", expect_size=\"23719936\"] \n  26 [size=\"22490453\", alpha=\"0.01\", expect_size=\"6747136\"] \n  27 [size=\"79803733\", alpha=\"0.19\", expect_size=\"23941120\"] \n  27 -> 30 [size =\"23941120\"]\n  28 [size=\"162471253\", alpha=\"0.01\", expect_size=\"48741376\"] \n  28 -> 30 [size =\"48741376\"]\n  29 [size=\"53504000\", alpha=\"0.06\", expect_size=\"16051200\"] \n  30 [size=\"43653120\", alpha=\"0.06\", expect_size=\"13095936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89279147\", alpha=\"0.03\", expect_size=\"26783744\"] \n  1 -> 7 [size =\"26783744\"]\n  1 -> 8 [size =\"26783744\"]\n  1 -> 8 [size =\"26783744\"]\n  2 [size=\"62163627\", alpha=\"0.03\", expect_size=\"18649088\"] \n  2 -> 7 [size =\"18649088\"]\n  2 -> 9 [size =\"18649088\"]\n  3 [size=\"121859413\", alpha=\"0.10\", expect_size=\"36557824\"] \n  3 -> 8 [size =\"36557824\"]\n  4 [size=\"73881600\", alpha=\"0.19\", expect_size=\"22164480\"] \n  4 -> 9 [size =\"22164480\"]\n  5 [size=\"153562453\", alpha=\"0.19\", expect_size=\"46068736\"] \n  5 -> 6 [size =\"46068736\"]\n  5 -> 7 [size =\"46068736\"]\n  5 -> 8 [size =\"46068736\"]\n  6 [size=\"80250880\", alpha=\"0.14\", expect_size=\"24075264\"] \n  6 -> 10 [size =\"24075264\"]\n  6 -> 11 [size =\"24075264\"]\n  6 -> 12 [size =\"24075264\"]\n  7 [size=\"48278187\", alpha=\"0.06\", expect_size=\"14483456\"] \n  7 -> 11 [size =\"14483456\"]\n  7 -> 12 [size =\"14483456\"]\n  8 [size=\"135642453\", alpha=\"0.03\", expect_size=\"40692736\"] \n  9 [size=\"172588373\", alpha=\"0.10\", expect_size=\"51776512\"] \n  9 -> 10 [size =\"51776512\"]\n  9 -> 12 [size =\"51776512\"]\n  10 [size=\"38522880\", alpha=\"0.06\", expect_size=\"11556864\"] \n  10 -> 13 [size =\"11556864\"]\n  10 -> 14 [size =\"11556864\"]\n  11 [size=\"130962773\", alpha=\"0.12\", expect_size=\"39288832\"] \n  11 -> 15 [size =\"39288832\"]\n  12 [size=\"153709227\", alpha=\"0.00\", expect_size=\"46112768\"] \n  12 -> 13 [size =\"46112768\"]\n  12 -> 15 [size =\"46112768\"]\n  12 -> 16 [size =\"46112768\"]\n  13 [size=\"22599680\", alpha=\"0.00\", expect_size=\"6779904\"] \n  13 -> 18 [size =\"6779904\"]\n  13 -> 19 [size =\"6779904\"]\n  14 [size=\"104878080\", alpha=\"0.16\", expect_size=\"31463424\"] \n  14 -> 17 [size =\"31463424\"]\n  14 -> 19 [size =\"31463424\"]\n  15 [size=\"94068053\", alpha=\"0.06\", expect_size=\"28220416\"] \n  15 -> 18 [size =\"28220416\"]\n  16 [size=\"88743253\", alpha=\"0.14\", expect_size=\"26622976\"] \n  16 -> 19 [size =\"26622976\"]\n  17 [size=\"42714453\", alpha=\"0.06\", expect_size=\"12814336\"] \n  17 -> 21 [size =\"12814336\"]\n  18 [size=\"92712960\", alpha=\"0.02\", expect_size=\"27813888\"] \n  18 -> 20 [size =\"27813888\"]\n  18 -> 21 [size =\"27813888\"]\n  18 -> 22 [size =\"27813888\"]\n  18 -> 23 [size =\"27813888\"]\n  19 [size=\"113029120\", alpha=\"0.20\", expect_size=\"33908736\"] \n  19 -> 22 [size =\"33908736\"]\n  19 -> 23 [size =\"33908736\"]\n  20 [size=\"31143253\", alpha=\"0.01\", expect_size=\"9342976\"] \n  20 -> 24 [size =\"9342976\"]\n  20 -> 25 [size =\"9342976\"]\n  20 -> 27 [size =\"9342976\"]\n  21 [size=\"80216747\", alpha=\"0.12\", expect_size=\"24065024\"] \n  21 -> 25 [size =\"24065024\"]\n  21 -> 26 [size =\"24065024\"]\n  22 [size=\"19312640\", alpha=\"0.08\", expect_size=\"5793792\"] \n  22 -> 24 [size =\"5793792\"]\n  22 -> 25 [size =\"5793792\"]\n  22 -> 28 [size =\"5793792\"]\n  23 [size=\"20107947\", alpha=\"0.18\", expect_size=\"6032384\"] \n  23 -> 27 [size =\"6032384\"]\n  24 [size=\"22777173\", alpha=\"0.15\", expect_size=\"6833152\"] \n  24 -> 29 [size =\"6833152\"]\n  25 [size=\"149029547\", alpha=\"0.09\", expect_size=\"44708864\"] \n  25 -> 29 [size =\"44708864\"]\n  25 -> 30 [size =\"44708864\"]\n  26 [size=\"39505920\", alpha=\"0.11\", expect_size=\"11851776\"] \n  26 -> 29 [size =\"11851776\"]\n  26 -> 30 [size =\"11851776\"]\n  27 [size=\"151681707\", alpha=\"0.17\", expect_size=\"45504512\"] \n  27 -> 30 [size =\"45504512\"]\n  28 [size=\"42257067\", alpha=\"0.19\", expect_size=\"12677120\"] \n  28 -> 30 [size =\"12677120\"]\n  29 [size=\"55777280\", alpha=\"0.19\", expect_size=\"16733184\"] \n  30 [size=\"52398080\", alpha=\"0.03\", expect_size=\"15719424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78198784\", alpha=\"0.00\", expect_size=\"39099392\"] \n  1 -> 18 [size =\"39099392\"]\n  1 -> 19 [size =\"39099392\"]\n  1 -> 20 [size =\"39099392\"]\n  1 -> 22 [size =\"39099392\"]\n  1 -> 23 [size =\"39099392\"]\n  1 -> 25 [size =\"39099392\"]\n  1 -> 26 [size =\"39099392\"]\n  1 -> 27 [size =\"39099392\"]\n  1 -> 29 [size =\"39099392\"]\n  2 [size=\"22970368\", alpha=\"0.04\", expect_size=\"11485184\"] \n  2 -> 16 [size =\"11485184\"]\n  2 -> 17 [size =\"11485184\"]\n  2 -> 18 [size =\"11485184\"]\n  2 -> 25 [size =\"11485184\"]\n  2 -> 26 [size =\"11485184\"]\n  2 -> 27 [size =\"11485184\"]\n  2 -> 29 [size =\"11485184\"]\n  3 [size=\"64202752\", alpha=\"0.03\", expect_size=\"32101376\"] \n  3 -> 16 [size =\"32101376\"]\n  3 -> 17 [size =\"32101376\"]\n  3 -> 18 [size =\"32101376\"]\n  3 -> 20 [size =\"32101376\"]\n  3 -> 22 [size =\"32101376\"]\n  3 -> 24 [size =\"32101376\"]\n  3 -> 25 [size =\"32101376\"]\n  3 -> 26 [size =\"32101376\"]\n  3 -> 27 [size =\"32101376\"]\n  4 [size=\"20852736\", alpha=\"0.15\", expect_size=\"10426368\"] \n  4 -> 20 [size =\"10426368\"]\n  4 -> 22 [size =\"10426368\"]\n  4 -> 25 [size =\"10426368\"]\n  4 -> 26 [size =\"10426368\"]\n  4 -> 28 [size =\"10426368\"]\n  5 [size=\"71741440\", alpha=\"0.08\", expect_size=\"35870720\"] \n  5 -> 20 [size =\"35870720\"]\n  5 -> 21 [size =\"35870720\"]\n  5 -> 24 [size =\"35870720\"]\n  5 -> 25 [size =\"35870720\"]\n  5 -> 26 [size =\"35870720\"]\n  5 -> 29 [size =\"35870720\"]\n  5 -> 30 [size =\"35870720\"]\n  6 [size=\"47259648\", alpha=\"0.15\", expect_size=\"23629824\"] \n  6 -> 17 [size =\"23629824\"]\n  6 -> 21 [size =\"23629824\"]\n  6 -> 25 [size =\"23629824\"]\n  6 -> 25 [size =\"23629824\"]\n  6 -> 27 [size =\"23629824\"]\n  7 [size=\"58880000\", alpha=\"0.08\", expect_size=\"29440000\"] \n  7 -> 22 [size =\"29440000\"]\n  7 -> 27 [size =\"29440000\"]\n  8 [size=\"71319552\", alpha=\"0.03\", expect_size=\"35659776\"] \n  8 -> 16 [size =\"35659776\"]\n  8 -> 18 [size =\"35659776\"]\n  8 -> 20 [size =\"35659776\"]\n  8 -> 24 [size =\"35659776\"]\n  8 -> 26 [size =\"35659776\"]\n  8 -> 29 [size =\"35659776\"]\n  8 -> 30 [size =\"35659776\"]\n  9 [size=\"21727232\", alpha=\"0.10\", expect_size=\"10863616\"] \n  9 -> 20 [size =\"10863616\"]\n  9 -> 22 [size =\"10863616\"]\n  9 -> 24 [size =\"10863616\"]\n  9 -> 26 [size =\"10863616\"]\n  9 -> 28 [size =\"10863616\"]\n  9 -> 29 [size =\"10863616\"]\n  10 [size=\"93845504\", alpha=\"0.11\", expect_size=\"46922752\"] \n  10 -> 17 [size =\"46922752\"]\n  10 -> 20 [size =\"46922752\"]\n  10 -> 21 [size =\"46922752\"]\n  10 -> 28 [size =\"46922752\"]\n  10 -> 29 [size =\"46922752\"]\n  10 -> 30 [size =\"46922752\"]\n  11 [size=\"99676160\", alpha=\"0.11\", expect_size=\"49838080\"] \n  11 -> 17 [size =\"49838080\"]\n  11 -> 24 [size =\"49838080\"]\n  11 -> 29 [size =\"49838080\"]\n  11 -> 30 [size =\"49838080\"]\n  12 [size=\"101242880\", alpha=\"0.02\", expect_size=\"50621440\"] \n  12 -> 17 [size =\"50621440\"]\n  12 -> 18 [size =\"50621440\"]\n  12 -> 23 [size =\"50621440\"]\n  12 -> 24 [size =\"50621440\"]\n  12 -> 29 [size =\"50621440\"]\n  12 -> 30 [size =\"50621440\"]\n  13 [size=\"23758848\", alpha=\"0.01\", expect_size=\"11879424\"] \n  13 -> 17 [size =\"11879424\"]\n  13 -> 24 [size =\"11879424\"]\n  13 -> 26 [size =\"11879424\"]\n  13 -> 28 [size =\"11879424\"]\n  14 [size=\"39331840\", alpha=\"0.05\", expect_size=\"19665920\"] \n  14 -> 17 [size =\"19665920\"]\n  14 -> 27 [size =\"19665920\"]\n  14 -> 29 [size =\"19665920\"]\n  14 -> 30 [size =\"19665920\"]\n  15 [size=\"17807360\", alpha=\"0.14\", expect_size=\"8903680\"] \n  15 -> 16 [size =\"8903680\"]\n  15 -> 17 [size =\"8903680\"]\n  15 -> 18 [size =\"8903680\"]\n  15 -> 19 [size =\"8903680\"]\n  15 -> 25 [size =\"8903680\"]\n  15 -> 26 [size =\"8903680\"]\n  15 -> 27 [size =\"8903680\"]\n  15 -> 30 [size =\"8903680\"]\n  16 [size=\"54497280\", alpha=\"0.07\", expect_size=\"27248640\"] \n  17 [size=\"31668224\", alpha=\"0.20\", expect_size=\"15834112\"] \n  18 [size=\"67135488\", alpha=\"0.07\", expect_size=\"33567744\"] \n  19 [size=\"83281920\", alpha=\"0.17\", expect_size=\"41640960\"] \n  20 [size=\"36980736\", alpha=\"0.18\", expect_size=\"18490368\"] \n  21 [size=\"87846912\", alpha=\"0.12\", expect_size=\"43923456\"] \n  22 [size=\"43618304\", alpha=\"0.10\", expect_size=\"21809152\"] \n  23 [size=\"51951616\", alpha=\"0.19\", expect_size=\"25975808\"] \n  24 [size=\"57724928\", alpha=\"0.10\", expect_size=\"28862464\"] \n  25 [size=\"82208768\", alpha=\"0.14\", expect_size=\"41104384\"] \n  26 [size=\"53385216\", alpha=\"0.05\", expect_size=\"26692608\"] \n  27 [size=\"88449024\", alpha=\"0.08\", expect_size=\"44224512\"] \n  28 [size=\"87193600\", alpha=\"0.02\", expect_size=\"43596800\"] \n  29 [size=\"27000832\", alpha=\"0.20\", expect_size=\"13500416\"] \n  30 [size=\"13045760\", alpha=\"0.15\", expect_size=\"6522880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22090240\", alpha=\"0.14\", expect_size=\"8836096\"] \n  1 -> 2 [size =\"8836096\"]\n  2 [size=\"45486080\", alpha=\"0.16\", expect_size=\"18194432\"] \n  2 -> 3 [size =\"18194432\"]\n  2 -> 4 [size =\"18194432\"]\n  3 [size=\"27379200\", alpha=\"0.17\", expect_size=\"10951680\"] \n  3 -> 5 [size =\"10951680\"]\n  4 [size=\"34757120\", alpha=\"0.15\", expect_size=\"13902848\"] \n  4 -> 5 [size =\"13902848\"]\n  5 [size=\"63485440\", alpha=\"0.11\", expect_size=\"25394176\"] \n  5 -> 6 [size =\"25394176\"]\n  6 [size=\"78704640\", alpha=\"0.12\", expect_size=\"31481856\"] \n  6 -> 7 [size =\"31481856\"]\n  7 [size=\"52113920\", alpha=\"0.16\", expect_size=\"20845568\"] \n  7 -> 8 [size =\"20845568\"]\n  7 -> 9 [size =\"20845568\"]\n  8 [size=\"127229440\", alpha=\"0.15\", expect_size=\"50891776\"] \n  8 -> 10 [size =\"50891776\"]\n  8 -> 11 [size =\"50891776\"]\n  9 [size=\"67558400\", alpha=\"0.07\", expect_size=\"27023360\"] \n  9 -> 10 [size =\"27023360\"]\n  10 [size=\"49418240\", alpha=\"0.05\", expect_size=\"19767296\"] \n  10 -> 12 [size =\"19767296\"]\n  11 [size=\"55731200\", alpha=\"0.08\", expect_size=\"22292480\"] \n  11 -> 12 [size =\"22292480\"]\n  12 [size=\"21721600\", alpha=\"0.06\", expect_size=\"8688640\"] \n  12 -> 13 [size =\"8688640\"]\n  12 -> 14 [size =\"8688640\"]\n  13 [size=\"118492160\", alpha=\"0.16\", expect_size=\"47396864\"] \n  13 -> 15 [size =\"47396864\"]\n  13 -> 16 [size =\"47396864\"]\n  14 [size=\"102428160\", alpha=\"0.16\", expect_size=\"40971264\"] \n  14 -> 15 [size =\"40971264\"]\n  15 [size=\"71104000\", alpha=\"0.04\", expect_size=\"28441600\"] \n  15 -> 17 [size =\"28441600\"]\n  15 -> 18 [size =\"28441600\"]\n  16 [size=\"18414080\", alpha=\"0.19\", expect_size=\"7365632\"] \n  16 -> 17 [size =\"7365632\"]\n  16 -> 18 [size =\"7365632\"]\n  17 [size=\"91878400\", alpha=\"0.10\", expect_size=\"36751360\"] \n  17 -> 19 [size =\"36751360\"]\n  18 [size=\"68026880\", alpha=\"0.14\", expect_size=\"27210752\"] \n  18 -> 19 [size =\"27210752\"]\n  19 [size=\"35653120\", alpha=\"0.16\", expect_size=\"14261248\"] \n  19 -> 20 [size =\"14261248\"]\n  19 -> 21 [size =\"14261248\"]\n  20 [size=\"77071360\", alpha=\"0.13\", expect_size=\"30828544\"] \n  20 -> 23 [size =\"30828544\"]\n  21 [size=\"107939840\", alpha=\"0.11\", expect_size=\"43175936\"] \n  21 -> 22 [size =\"43175936\"]\n  21 -> 23 [size =\"43175936\"]\n  22 [size=\"38400000\", alpha=\"0.14\", expect_size=\"15360000\"] \n  23 [size=\"72314880\", alpha=\"0.01\", expect_size=\"28925952\"] \n  23 -> 24 [size =\"28925952\"]\n  23 -> 25 [size =\"28925952\"]\n  24 [size=\"50485760\", alpha=\"0.10\", expect_size=\"20194304\"] \n  24 -> 26 [size =\"20194304\"]\n  25 [size=\"28446720\", alpha=\"0.09\", expect_size=\"11378688\"] \n  25 -> 26 [size =\"11378688\"]\n  25 -> 27 [size =\"11378688\"]\n  26 [size=\"51747840\", alpha=\"0.18\", expect_size=\"20699136\"] \n  26 -> 28 [size =\"20699136\"]\n  27 [size=\"47552000\", alpha=\"0.14\", expect_size=\"19020800\"] \n  27 -> 28 [size =\"19020800\"]\n  27 -> 29 [size =\"19020800\"]\n  28 [size=\"106265600\", alpha=\"0.10\", expect_size=\"42506240\"] \n  28 -> 30 [size =\"42506240\"]\n  29 [size=\"72289280\", alpha=\"0.14\", expect_size=\"28915712\"] \n  30 [size=\"48450560\", alpha=\"0.05\", expect_size=\"19380224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141492907\", alpha=\"0.14\", expect_size=\"42447872\"] \n  1 -> 6 [size =\"42447872\"]\n  2 [size=\"136130560\", alpha=\"0.10\", expect_size=\"40839168\"] \n  2 -> 7 [size =\"40839168\"]\n  2 -> 9 [size =\"40839168\"]\n  3 [size=\"113742507\", alpha=\"0.12\", expect_size=\"34122752\"] \n  3 -> 8 [size =\"34122752\"]\n  3 -> 9 [size =\"34122752\"]\n  3 -> 10 [size =\"34122752\"]\n  4 [size=\"165771947\", alpha=\"0.08\", expect_size=\"49731584\"] \n  4 -> 5 [size =\"49731584\"]\n  4 -> 6 [size =\"49731584\"]\n  4 -> 7 [size =\"49731584\"]\n  5 [size=\"64324267\", alpha=\"0.14\", expect_size=\"19297280\"] \n  5 -> 11 [size =\"19297280\"]\n  6 [size=\"115647147\", alpha=\"0.02\", expect_size=\"34694144\"] \n  6 -> 11 [size =\"34694144\"]\n  6 -> 13 [size =\"34694144\"]\n  6 -> 14 [size =\"34694144\"]\n  7 [size=\"88657920\", alpha=\"0.07\", expect_size=\"26597376\"] \n  7 -> 11 [size =\"26597376\"]\n  7 -> 13 [size =\"26597376\"]\n  8 [size=\"38280533\", alpha=\"0.17\", expect_size=\"11484160\"] \n  8 -> 12 [size =\"11484160\"]\n  9 [size=\"150446080\", alpha=\"0.02\", expect_size=\"45133824\"] \n  9 -> 13 [size =\"45133824\"]\n  10 [size=\"32737280\", alpha=\"0.12\", expect_size=\"9821184\"] \n  11 [size=\"88995840\", alpha=\"0.08\", expect_size=\"26698752\"] \n  11 -> 16 [size =\"26698752\"]\n  12 [size=\"42011307\", alpha=\"0.04\", expect_size=\"12603392\"] \n  12 -> 15 [size =\"12603392\"]\n  13 [size=\"117036373\", alpha=\"0.10\", expect_size=\"35110912\"] \n  13 -> 15 [size =\"35110912\"]\n  13 -> 17 [size =\"35110912\"]\n  14 [size=\"56132267\", alpha=\"0.19\", expect_size=\"16839680\"] \n  14 -> 17 [size =\"16839680\"]\n  15 [size=\"119439360\", alpha=\"0.15\", expect_size=\"35831808\"] \n  15 -> 18 [size =\"35831808\"]\n  15 -> 20 [size =\"35831808\"]\n  16 [size=\"69645653\", alpha=\"0.11\", expect_size=\"20893696\"] \n  16 -> 19 [size =\"20893696\"]\n  16 -> 20 [size =\"20893696\"]\n  17 [size=\"82817707\", alpha=\"0.16\", expect_size=\"24845312\"] \n  17 -> 18 [size =\"24845312\"]\n  17 -> 19 [size =\"24845312\"]\n  18 [size=\"141602133\", alpha=\"0.16\", expect_size=\"42480640\"] \n  18 -> 22 [size =\"42480640\"]\n  19 [size=\"115688107\", alpha=\"0.04\", expect_size=\"34706432\"] \n  20 [size=\"132365653\", alpha=\"0.12\", expect_size=\"39709696\"] \n  20 -> 21 [size =\"39709696\"]\n  21 [size=\"70174720\", alpha=\"0.16\", expect_size=\"21052416\"] \n  21 -> 24 [size =\"21052416\"]\n  21 -> 25 [size =\"21052416\"]\n  21 -> 26 [size =\"21052416\"]\n  22 [size=\"135147520\", alpha=\"0.15\", expect_size=\"40544256\"] \n  22 -> 23 [size =\"40544256\"]\n  22 -> 24 [size =\"40544256\"]\n  22 -> 25 [size =\"40544256\"]\n  23 [size=\"168625493\", alpha=\"0.07\", expect_size=\"50587648\"] \n  23 -> 27 [size =\"50587648\"]\n  23 -> 28 [size =\"50587648\"]\n  24 [size=\"87149227\", alpha=\"0.17\", expect_size=\"26144768\"] \n  24 -> 27 [size =\"26144768\"]\n  24 -> 28 [size =\"26144768\"]\n  25 [size=\"75595093\", alpha=\"0.13\", expect_size=\"22678528\"] \n  25 -> 27 [size =\"22678528\"]\n  26 [size=\"36635307\", alpha=\"0.02\", expect_size=\"10990592\"] \n  26 -> 28 [size =\"10990592\"]\n  26 -> 29 [size =\"10990592\"]\n  26 -> 30 [size =\"10990592\"]\n  27 [size=\"121367893\", alpha=\"0.20\", expect_size=\"36410368\"] \n  28 [size=\"90197333\", alpha=\"0.20\", expect_size=\"27059200\"] \n  29 [size=\"55316480\", alpha=\"0.17\", expect_size=\"16594944\"] \n  30 [size=\"83732480\", alpha=\"0.17\", expect_size=\"25119744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164386133\", alpha=\"0.12\", expect_size=\"49315840\"] \n  2 [size=\"73489067\", alpha=\"0.01\", expect_size=\"22046720\"] \n  2 -> 3 [size =\"22046720\"]\n  3 [size=\"74065920\", alpha=\"0.11\", expect_size=\"22219776\"] \n  3 -> 4 [size =\"22219776\"]\n  3 -> 5 [size =\"22219776\"]\n  4 [size=\"56050347\", alpha=\"0.04\", expect_size=\"16815104\"] \n  4 -> 7 [size =\"16815104\"]\n  5 [size=\"61777920\", alpha=\"0.03\", expect_size=\"18533376\"] \n  5 -> 6 [size =\"18533376\"]\n  5 -> 7 [size =\"18533376\"]\n  6 [size=\"80069973\", alpha=\"0.07\", expect_size=\"24020992\"] \n  6 -> 8 [size =\"24020992\"]\n  7 [size=\"71222613\", alpha=\"0.06\", expect_size=\"21366784\"] \n  7 -> 8 [size =\"21366784\"]\n  8 [size=\"105123840\", alpha=\"0.08\", expect_size=\"31537152\"] \n  8 -> 9 [size =\"31537152\"]\n  9 [size=\"116930560\", alpha=\"0.02\", expect_size=\"35079168\"] \n  9 -> 10 [size =\"35079168\"]\n  10 [size=\"112145067\", alpha=\"0.19\", expect_size=\"33643520\"] \n  10 -> 11 [size =\"33643520\"]\n  10 -> 12 [size =\"33643520\"]\n  11 [size=\"146537813\", alpha=\"0.07\", expect_size=\"43961344\"] \n  12 [size=\"80520533\", alpha=\"0.12\", expect_size=\"24156160\"] \n  12 -> 13 [size =\"24156160\"]\n  13 [size=\"85562027\", alpha=\"0.15\", expect_size=\"25668608\"] \n  13 -> 14 [size =\"25668608\"]\n  13 -> 15 [size =\"25668608\"]\n  14 [size=\"171557547\", alpha=\"0.19\", expect_size=\"51467264\"] \n  14 -> 16 [size =\"51467264\"]\n  15 [size=\"49322667\", alpha=\"0.13\", expect_size=\"14796800\"] \n  15 -> 16 [size =\"14796800\"]\n  16 [size=\"69966507\", alpha=\"0.17\", expect_size=\"20989952\"] \n  16 -> 17 [size =\"20989952\"]\n  16 -> 18 [size =\"20989952\"]\n  17 [size=\"124832427\", alpha=\"0.08\", expect_size=\"37449728\"] \n  17 -> 19 [size =\"37449728\"]\n  18 [size=\"18356907\", alpha=\"0.11\", expect_size=\"5507072\"] \n  18 -> 19 [size =\"5507072\"]\n  19 [size=\"84585813\", alpha=\"0.06\", expect_size=\"25375744\"] \n  19 -> 20 [size =\"25375744\"]\n  20 [size=\"100997120\", alpha=\"0.10\", expect_size=\"30299136\"] \n  20 -> 21 [size =\"30299136\"]\n  20 -> 22 [size =\"30299136\"]\n  21 [size=\"89866240\", alpha=\"0.12\", expect_size=\"26959872\"] \n  21 -> 23 [size =\"26959872\"]\n  21 -> 24 [size =\"26959872\"]\n  22 [size=\"145889280\", alpha=\"0.02\", expect_size=\"43766784\"] \n  22 -> 23 [size =\"43766784\"]\n  23 [size=\"81879040\", alpha=\"0.19\", expect_size=\"24563712\"] \n  23 -> 25 [size =\"24563712\"]\n  23 -> 26 [size =\"24563712\"]\n  24 [size=\"40454827\", alpha=\"0.01\", expect_size=\"12136448\"] \n  25 [size=\"29812053\", alpha=\"0.08\", expect_size=\"8943616\"] \n  25 -> 27 [size =\"8943616\"]\n  26 [size=\"133082453\", alpha=\"0.04\", expect_size=\"39924736\"] \n  27 [size=\"106717867\", alpha=\"0.06\", expect_size=\"32015360\"] \n  27 -> 28 [size =\"32015360\"]\n  27 -> 29 [size =\"32015360\"]\n  28 [size=\"170192213\", alpha=\"0.20\", expect_size=\"51057664\"] \n  28 -> 30 [size =\"51057664\"]\n  29 [size=\"99106133\", alpha=\"0.06\", expect_size=\"29731840\"] \n  29 -> 30 [size =\"29731840\"]\n  30 [size=\"143441920\", alpha=\"0.04\", expect_size=\"43032576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73123840\", alpha=\"0.05\", expect_size=\"29249536\"] \n  1 -> 5 [size =\"29249536\"]\n  1 -> 7 [size =\"29249536\"]\n  2 [size=\"60285440\", alpha=\"0.14\", expect_size=\"24114176\"] \n  2 -> 5 [size =\"24114176\"]\n  2 -> 6 [size =\"24114176\"]\n  2 -> 8 [size =\"24114176\"]\n  3 [size=\"22067200\", alpha=\"0.17\", expect_size=\"8826880\"] \n  4 [size=\"71713280\", alpha=\"0.01\", expect_size=\"28685312\"] \n  4 -> 8 [size =\"28685312\"]\n  5 [size=\"22947840\", alpha=\"0.20\", expect_size=\"9179136\"] \n  5 -> 11 [size =\"9179136\"]\n  5 -> 12 [size =\"9179136\"]\n  6 [size=\"84331520\", alpha=\"0.20\", expect_size=\"33732608\"] \n  6 -> 11 [size =\"33732608\"]\n  6 -> 13 [size =\"33732608\"]\n  7 [size=\"46789120\", alpha=\"0.05\", expect_size=\"18715648\"] \n  7 -> 9 [size =\"18715648\"]\n  7 -> 10 [size =\"18715648\"]\n  7 -> 11 [size =\"18715648\"]\n  7 -> 13 [size =\"18715648\"]\n  8 [size=\"57930240\", alpha=\"0.13\", expect_size=\"23172096\"] \n  8 -> 13 [size =\"23172096\"]\n  9 [size=\"100807680\", alpha=\"0.14\", expect_size=\"40323072\"] \n  10 [size=\"40089600\", alpha=\"0.02\", expect_size=\"16035840\"] \n  10 -> 14 [size =\"16035840\"]\n  11 [size=\"103175680\", alpha=\"0.15\", expect_size=\"41270272\"] \n  11 -> 15 [size =\"41270272\"]\n  12 [size=\"130954240\", alpha=\"0.13\", expect_size=\"52381696\"] \n  12 -> 14 [size =\"52381696\"]\n  12 -> 15 [size =\"52381696\"]\n  13 [size=\"93163520\", alpha=\"0.05\", expect_size=\"37265408\"] \n  13 -> 14 [size =\"37265408\"]\n  13 -> 16 [size =\"37265408\"]\n  14 [size=\"73566720\", alpha=\"0.20\", expect_size=\"29426688\"] \n  14 -> 17 [size =\"29426688\"]\n  14 -> 19 [size =\"29426688\"]\n  14 -> 20 [size =\"29426688\"]\n  15 [size=\"78696960\", alpha=\"0.10\", expect_size=\"31478784\"] \n  15 -> 17 [size =\"31478784\"]\n  15 -> 20 [size =\"31478784\"]\n  16 [size=\"77173760\", alpha=\"0.04\", expect_size=\"30869504\"] \n  16 -> 18 [size =\"30869504\"]\n  17 [size=\"76226560\", alpha=\"0.15\", expect_size=\"30490624\"] \n  17 -> 24 [size =\"30490624\"]\n  18 [size=\"103733760\", alpha=\"0.14\", expect_size=\"41493504\"] \n  18 -> 21 [size =\"41493504\"]\n  18 -> 22 [size =\"41493504\"]\n  18 -> 23 [size =\"41493504\"]\n  19 [size=\"59637760\", alpha=\"0.05\", expect_size=\"23855104\"] \n  19 -> 24 [size =\"23855104\"]\n  20 [size=\"21306880\", alpha=\"0.04\", expect_size=\"8522752\"] \n  20 -> 23 [size =\"8522752\"]\n  21 [size=\"34877440\", alpha=\"0.14\", expect_size=\"13950976\"] \n  21 -> 25 [size =\"13950976\"]\n  21 -> 27 [size =\"13950976\"]\n  22 [size=\"124433920\", alpha=\"0.11\", expect_size=\"49773568\"] \n  22 -> 25 [size =\"49773568\"]\n  22 -> 28 [size =\"49773568\"]\n  23 [size=\"84410880\", alpha=\"0.10\", expect_size=\"33764352\"] \n  23 -> 25 [size =\"33764352\"]\n  23 -> 26 [size =\"33764352\"]\n  24 [size=\"115614720\", alpha=\"0.19\", expect_size=\"46245888\"] \n  24 -> 27 [size =\"46245888\"]\n  25 [size=\"112985600\", alpha=\"0.10\", expect_size=\"45194240\"] \n  25 -> 29 [size =\"45194240\"]\n  25 -> 30 [size =\"45194240\"]\n  26 [size=\"55864320\", alpha=\"0.13\", expect_size=\"22345728\"] \n  26 -> 29 [size =\"22345728\"]\n  27 [size=\"81267200\", alpha=\"0.01\", expect_size=\"32506880\"] \n  28 [size=\"52316160\", alpha=\"0.17\", expect_size=\"20926464\"] \n  28 -> 29 [size =\"20926464\"]\n  29 [size=\"15554560\", alpha=\"0.08\", expect_size=\"6221824\"] \n  30 [size=\"45939200\", alpha=\"0.03\", expect_size=\"18375680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123074560\", alpha=\"0.14\", expect_size=\"49229824\"] \n  1 -> 12 [size =\"49229824\"]\n  1 -> 16 [size =\"49229824\"]\n  2 [size=\"102709760\", alpha=\"0.20\", expect_size=\"41083904\"] \n  2 -> 13 [size =\"41083904\"]\n  2 -> 14 [size =\"41083904\"]\n  3 [size=\"129525760\", alpha=\"0.15\", expect_size=\"51810304\"] \n  3 -> 11 [size =\"51810304\"]\n  3 -> 13 [size =\"51810304\"]\n  3 -> 15 [size =\"51810304\"]\n  4 [size=\"27801600\", alpha=\"0.12\", expect_size=\"11120640\"] \n  4 -> 9 [size =\"11120640\"]\n  4 -> 11 [size =\"11120640\"]\n  5 [size=\"118599680\", alpha=\"0.08\", expect_size=\"47439872\"] \n  5 -> 10 [size =\"47439872\"]\n  5 -> 11 [size =\"47439872\"]\n  5 -> 14 [size =\"47439872\"]\n  5 -> 16 [size =\"47439872\"]\n  6 [size=\"82099200\", alpha=\"0.14\", expect_size=\"32839680\"] \n  6 -> 12 [size =\"32839680\"]\n  7 [size=\"105612800\", alpha=\"0.11\", expect_size=\"42245120\"] \n  7 -> 11 [size =\"42245120\"]\n  7 -> 14 [size =\"42245120\"]\n  7 -> 15 [size =\"42245120\"]\n  8 [size=\"14627840\", alpha=\"0.18\", expect_size=\"5851136\"] \n  8 -> 15 [size =\"5851136\"]\n  9 [size=\"84976640\", alpha=\"0.15\", expect_size=\"33990656\"] \n  9 -> 19 [size =\"33990656\"]\n  9 -> 20 [size =\"33990656\"]\n  10 [size=\"118768640\", alpha=\"0.01\", expect_size=\"47507456\"] \n  10 -> 17 [size =\"47507456\"]\n  10 -> 18 [size =\"47507456\"]\n  10 -> 19 [size =\"47507456\"]\n  10 -> 24 [size =\"47507456\"]\n  11 [size=\"53708800\", alpha=\"0.08\", expect_size=\"21483520\"] \n  11 -> 19 [size =\"21483520\"]\n  11 -> 23 [size =\"21483520\"]\n  12 [size=\"17822720\", alpha=\"0.03\", expect_size=\"7129088\"] \n  13 [size=\"15191040\", alpha=\"0.01\", expect_size=\"6076416\"] \n  13 -> 18 [size =\"6076416\"]\n  13 -> 20 [size =\"6076416\"]\n  13 -> 21 [size =\"6076416\"]\n  14 [size=\"103546880\", alpha=\"0.02\", expect_size=\"41418752\"] \n  14 -> 17 [size =\"41418752\"]\n  14 -> 24 [size =\"41418752\"]\n  15 [size=\"55726080\", alpha=\"0.08\", expect_size=\"22290432\"] \n  15 -> 17 [size =\"22290432\"]\n  15 -> 21 [size =\"22290432\"]\n  16 [size=\"104975360\", alpha=\"0.08\", expect_size=\"41990144\"] \n  16 -> 17 [size =\"41990144\"]\n  16 -> 19 [size =\"41990144\"]\n  16 -> 22 [size =\"41990144\"]\n  16 -> 23 [size =\"41990144\"]\n  16 -> 24 [size =\"41990144\"]\n  17 [size=\"69319680\", alpha=\"0.04\", expect_size=\"27727872\"] \n  17 -> 26 [size =\"27727872\"]\n  17 -> 28 [size =\"27727872\"]\n  18 [size=\"16440320\", alpha=\"0.01\", expect_size=\"6576128\"] \n  19 [size=\"121579520\", alpha=\"0.05\", expect_size=\"48631808\"] \n  19 -> 29 [size =\"48631808\"]\n  19 -> 30 [size =\"48631808\"]\n  20 [size=\"92661760\", alpha=\"0.13\", expect_size=\"37064704\"] \n  20 -> 26 [size =\"37064704\"]\n  21 [size=\"98298880\", alpha=\"0.00\", expect_size=\"39319552\"] \n  21 -> 25 [size =\"39319552\"]\n  21 -> 27 [size =\"39319552\"]\n  22 [size=\"26255360\", alpha=\"0.02\", expect_size=\"10502144\"] \n  22 -> 25 [size =\"10502144\"]\n  23 [size=\"46433280\", alpha=\"0.04\", expect_size=\"18573312\"] \n  23 -> 25 [size =\"18573312\"]\n  23 -> 26 [size =\"18573312\"]\n  23 -> 27 [size =\"18573312\"]\n  23 -> 29 [size =\"18573312\"]\n  23 -> 30 [size =\"18573312\"]\n  24 [size=\"54860800\", alpha=\"0.09\", expect_size=\"21944320\"] \n  24 -> 26 [size =\"21944320\"]\n  24 -> 29 [size =\"21944320\"]\n  25 [size=\"68874240\", alpha=\"0.11\", expect_size=\"27549696\"] \n  26 [size=\"114211840\", alpha=\"0.05\", expect_size=\"45684736\"] \n  27 [size=\"44152320\", alpha=\"0.14\", expect_size=\"17660928\"] \n  28 [size=\"69882880\", alpha=\"0.04\", expect_size=\"27953152\"] \n  29 [size=\"76820480\", alpha=\"0.06\", expect_size=\"30728192\"] \n  30 [size=\"106352640\", alpha=\"0.06\", expect_size=\"42541056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43681792\", alpha=\"0.13\", expect_size=\"21840896\"] \n  1 -> 13 [size =\"21840896\"]\n  1 -> 14 [size =\"21840896\"]\n  1 -> 20 [size =\"21840896\"]\n  2 [size=\"69283840\", alpha=\"0.06\", expect_size=\"34641920\"] \n  2 -> 11 [size =\"34641920\"]\n  2 -> 13 [size =\"34641920\"]\n  2 -> 14 [size =\"34641920\"]\n  2 -> 20 [size =\"34641920\"]\n  3 [size=\"81487872\", alpha=\"0.04\", expect_size=\"40743936\"] \n  3 -> 11 [size =\"40743936\"]\n  3 -> 13 [size =\"40743936\"]\n  3 -> 17 [size =\"40743936\"]\n  3 -> 19 [size =\"40743936\"]\n  4 [size=\"84178944\", alpha=\"0.10\", expect_size=\"42089472\"] \n  4 -> 11 [size =\"42089472\"]\n  4 -> 13 [size =\"42089472\"]\n  4 -> 16 [size =\"42089472\"]\n  4 -> 19 [size =\"42089472\"]\n  4 -> 20 [size =\"42089472\"]\n  5 [size=\"28833792\", alpha=\"0.02\", expect_size=\"14416896\"] \n  5 -> 13 [size =\"14416896\"]\n  5 -> 14 [size =\"14416896\"]\n  5 -> 15 [size =\"14416896\"]\n  5 -> 16 [size =\"14416896\"]\n  5 -> 17 [size =\"14416896\"]\n  5 -> 19 [size =\"14416896\"]\n  5 -> 20 [size =\"14416896\"]\n  6 [size=\"44847104\", alpha=\"0.13\", expect_size=\"22423552\"] \n  6 -> 14 [size =\"22423552\"]\n  6 -> 15 [size =\"22423552\"]\n  6 -> 16 [size =\"22423552\"]\n  6 -> 17 [size =\"22423552\"]\n  6 -> 19 [size =\"22423552\"]\n  7 [size=\"47214592\", alpha=\"0.13\", expect_size=\"23607296\"] \n  7 -> 12 [size =\"23607296\"]\n  7 -> 13 [size =\"23607296\"]\n  7 -> 14 [size =\"23607296\"]\n  7 -> 17 [size =\"23607296\"]\n  7 -> 18 [size =\"23607296\"]\n  8 [size=\"99801088\", alpha=\"0.08\", expect_size=\"49900544\"] \n  8 -> 11 [size =\"49900544\"]\n  8 -> 13 [size =\"49900544\"]\n  8 -> 14 [size =\"49900544\"]\n  8 -> 16 [size =\"49900544\"]\n  8 -> 17 [size =\"49900544\"]\n  9 [size=\"96675840\", alpha=\"0.03\", expect_size=\"48337920\"] \n  9 -> 13 [size =\"48337920\"]\n  9 -> 14 [size =\"48337920\"]\n  9 -> 14 [size =\"48337920\"]\n  9 -> 17 [size =\"48337920\"]\n  9 -> 19 [size =\"48337920\"]\n  9 -> 20 [size =\"48337920\"]\n  10 [size=\"59746304\", alpha=\"0.08\", expect_size=\"29873152\"] \n  10 -> 13 [size =\"29873152\"]\n  10 -> 14 [size =\"29873152\"]\n  10 -> 15 [size =\"29873152\"]\n  10 -> 17 [size =\"29873152\"]\n  10 -> 19 [size =\"29873152\"]\n  10 -> 20 [size =\"29873152\"]\n  11 [size=\"30277632\", alpha=\"0.15\", expect_size=\"15138816\"] \n  11 -> 21 [size =\"15138816\"]\n  11 -> 22 [size =\"15138816\"]\n  11 -> 26 [size =\"15138816\"]\n  11 -> 29 [size =\"15138816\"]\n  12 [size=\"92594176\", alpha=\"0.17\", expect_size=\"46297088\"] \n  12 -> 23 [size =\"46297088\"]\n  12 -> 25 [size =\"46297088\"]\n  12 -> 28 [size =\"46297088\"]\n  13 [size=\"27604992\", alpha=\"0.11\", expect_size=\"13802496\"] \n  13 -> 22 [size =\"13802496\"]\n  13 -> 23 [size =\"13802496\"]\n  13 -> 26 [size =\"13802496\"]\n  14 [size=\"46618624\", alpha=\"0.12\", expect_size=\"23309312\"] \n  14 -> 23 [size =\"23309312\"]\n  14 -> 26 [size =\"23309312\"]\n  14 -> 28 [size =\"23309312\"]\n  15 [size=\"95666176\", alpha=\"0.03\", expect_size=\"47833088\"] \n  15 -> 23 [size =\"47833088\"]\n  15 -> 29 [size =\"47833088\"]\n  16 [size=\"104681472\", alpha=\"0.17\", expect_size=\"52340736\"] \n  17 [size=\"70846464\", alpha=\"0.14\", expect_size=\"35423232\"] \n  17 -> 21 [size =\"35423232\"]\n  17 -> 22 [size =\"35423232\"]\n  17 -> 26 [size =\"35423232\"]\n  17 -> 28 [size =\"35423232\"]\n  18 [size=\"38057984\", alpha=\"0.18\", expect_size=\"19028992\"] \n  18 -> 21 [size =\"19028992\"]\n  18 -> 24 [size =\"19028992\"]\n  18 -> 26 [size =\"19028992\"]\n  18 -> 28 [size =\"19028992\"]\n  19 [size=\"77936640\", alpha=\"0.08\", expect_size=\"38968320\"] \n  19 -> 21 [size =\"38968320\"]\n  19 -> 22 [size =\"38968320\"]\n  19 -> 24 [size =\"38968320\"]\n  19 -> 26 [size =\"38968320\"]\n  19 -> 27 [size =\"38968320\"]\n  19 -> 28 [size =\"38968320\"]\n  20 [size=\"92696576\", alpha=\"0.12\", expect_size=\"46348288\"] \n  20 -> 21 [size =\"46348288\"]\n  20 -> 22 [size =\"46348288\"]\n  20 -> 23 [size =\"46348288\"]\n  20 -> 24 [size =\"46348288\"]\n  20 -> 28 [size =\"46348288\"]\n  20 -> 28 [size =\"46348288\"]\n  21 [size=\"35594240\", alpha=\"0.02\", expect_size=\"17797120\"] \n  22 [size=\"104398848\", alpha=\"0.06\", expect_size=\"52199424\"] \n  23 [size=\"89837568\", alpha=\"0.04\", expect_size=\"44918784\"] \n  23 -> 30 [size =\"44918784\"]\n  24 [size=\"48861184\", alpha=\"0.18\", expect_size=\"24430592\"] \n  24 -> 30 [size =\"24430592\"]\n  25 [size=\"13062144\", alpha=\"0.16\", expect_size=\"6531072\"] \n  25 -> 30 [size =\"6531072\"]\n  26 [size=\"26368000\", alpha=\"0.01\", expect_size=\"13184000\"] \n  26 -> 30 [size =\"13184000\"]\n  27 [size=\"13465600\", alpha=\"0.14\", expect_size=\"6732800\"] \n  27 -> 30 [size =\"6732800\"]\n  28 [size=\"79763456\", alpha=\"0.05\", expect_size=\"39881728\"] \n  28 -> 30 [size =\"39881728\"]\n  29 [size=\"70297600\", alpha=\"0.15\", expect_size=\"35148800\"] \n  30 [size=\"13510656\", alpha=\"0.16\", expect_size=\"6755328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38225920\", alpha=\"0.10\", expect_size=\"15290368\"] \n  1 -> 6 [size =\"15290368\"]\n  1 -> 10 [size =\"15290368\"]\n  1 -> 10 [size =\"15290368\"]\n  2 [size=\"104079360\", alpha=\"0.00\", expect_size=\"41631744\"] \n  2 -> 6 [size =\"41631744\"]\n  2 -> 7 [size =\"41631744\"]\n  2 -> 8 [size =\"41631744\"]\n  3 [size=\"117424640\", alpha=\"0.09\", expect_size=\"46969856\"] \n  3 -> 6 [size =\"46969856\"]\n  3 -> 8 [size =\"46969856\"]\n  3 -> 8 [size =\"46969856\"]\n  3 -> 9 [size =\"46969856\"]\n  3 -> 10 [size =\"46969856\"]\n  4 [size=\"19896320\", alpha=\"0.20\", expect_size=\"7958528\"] \n  4 -> 6 [size =\"7958528\"]\n  4 -> 7 [size =\"7958528\"]\n  4 -> 9 [size =\"7958528\"]\n  4 -> 10 [size =\"7958528\"]\n  5 [size=\"94231040\", alpha=\"0.05\", expect_size=\"37692416\"] \n  5 -> 6 [size =\"37692416\"]\n  5 -> 9 [size =\"37692416\"]\n  5 -> 10 [size =\"37692416\"]\n  6 [size=\"47869440\", alpha=\"0.02\", expect_size=\"19147776\"] \n  6 -> 11 [size =\"19147776\"]\n  6 -> 12 [size =\"19147776\"]\n  6 -> 13 [size =\"19147776\"]\n  6 -> 14 [size =\"19147776\"]\n  7 [size=\"119841280\", alpha=\"0.06\", expect_size=\"47936512\"] \n  7 -> 12 [size =\"47936512\"]\n  7 -> 13 [size =\"47936512\"]\n  7 -> 14 [size =\"47936512\"]\n  8 [size=\"24660480\", alpha=\"0.08\", expect_size=\"9864192\"] \n  8 -> 12 [size =\"9864192\"]\n  8 -> 13 [size =\"9864192\"]\n  8 -> 14 [size =\"9864192\"]\n  9 [size=\"121991680\", alpha=\"0.15\", expect_size=\"48796672\"] \n  9 -> 11 [size =\"48796672\"]\n  9 -> 13 [size =\"48796672\"]\n  10 [size=\"101637120\", alpha=\"0.00\", expect_size=\"40654848\"] \n  10 -> 11 [size =\"40654848\"]\n  10 -> 13 [size =\"40654848\"]\n  11 [size=\"87674880\", alpha=\"0.05\", expect_size=\"35069952\"] \n  11 -> 16 [size =\"35069952\"]\n  11 -> 17 [size =\"35069952\"]\n  11 -> 19 [size =\"35069952\"]\n  12 [size=\"26298880\", alpha=\"0.05\", expect_size=\"10519552\"] \n  12 -> 16 [size =\"10519552\"]\n  12 -> 18 [size =\"10519552\"]\n  12 -> 19 [size =\"10519552\"]\n  13 [size=\"26631680\", alpha=\"0.16\", expect_size=\"10652672\"] \n  13 -> 15 [size =\"10652672\"]\n  13 -> 16 [size =\"10652672\"]\n  13 -> 17 [size =\"10652672\"]\n  13 -> 18 [size =\"10652672\"]\n  13 -> 19 [size =\"10652672\"]\n  14 [size=\"78220800\", alpha=\"0.17\", expect_size=\"31288320\"] \n  14 -> 15 [size =\"31288320\"]\n  14 -> 16 [size =\"31288320\"]\n  14 -> 18 [size =\"31288320\"]\n  15 [size=\"75850240\", alpha=\"0.04\", expect_size=\"30340096\"] \n  15 -> 21 [size =\"30340096\"]\n  15 -> 21 [size =\"30340096\"]\n  15 -> 24 [size =\"30340096\"]\n  16 [size=\"105026560\", alpha=\"0.16\", expect_size=\"42010624\"] \n  16 -> 20 [size =\"42010624\"]\n  16 -> 21 [size =\"42010624\"]\n  16 -> 22 [size =\"42010624\"]\n  16 -> 23 [size =\"42010624\"]\n  16 -> 24 [size =\"42010624\"]\n  17 [size=\"117831680\", alpha=\"0.18\", expect_size=\"47132672\"] \n  17 -> 20 [size =\"47132672\"]\n  17 -> 21 [size =\"47132672\"]\n  17 -> 22 [size =\"47132672\"]\n  17 -> 24 [size =\"47132672\"]\n  18 [size=\"36387840\", alpha=\"0.01\", expect_size=\"14555136\"] \n  18 -> 20 [size =\"14555136\"]\n  18 -> 22 [size =\"14555136\"]\n  18 -> 24 [size =\"14555136\"]\n  19 [size=\"81625600\", alpha=\"0.13\", expect_size=\"32650240\"] \n  19 -> 20 [size =\"32650240\"]\n  19 -> 21 [size =\"32650240\"]\n  19 -> 24 [size =\"32650240\"]\n  20 [size=\"49320960\", alpha=\"0.01\", expect_size=\"19728384\"] \n  20 -> 25 [size =\"19728384\"]\n  21 [size=\"49390080\", alpha=\"0.12\", expect_size=\"19756032\"] \n  21 -> 25 [size =\"19756032\"]\n  21 -> 26 [size =\"19756032\"]\n  21 -> 27 [size =\"19756032\"]\n  21 -> 28 [size =\"19756032\"]\n  22 [size=\"76129280\", alpha=\"0.19\", expect_size=\"30451712\"] \n  22 -> 27 [size =\"30451712\"]\n  22 -> 28 [size =\"30451712\"]\n  23 [size=\"107837440\", alpha=\"0.03\", expect_size=\"43134976\"] \n  23 -> 25 [size =\"43134976\"]\n  23 -> 26 [size =\"43134976\"]\n  23 -> 27 [size =\"43134976\"]\n  23 -> 28 [size =\"43134976\"]\n  24 [size=\"84825600\", alpha=\"0.09\", expect_size=\"33930240\"] \n  24 -> 25 [size =\"33930240\"]\n  24 -> 27 [size =\"33930240\"]\n  25 [size=\"67325440\", alpha=\"0.08\", expect_size=\"26930176\"] \n  25 -> 30 [size =\"26930176\"]\n  26 [size=\"92843520\", alpha=\"0.14\", expect_size=\"37137408\"] \n  27 [size=\"68682240\", alpha=\"0.17\", expect_size=\"27472896\"] \n  28 [size=\"57966080\", alpha=\"0.02\", expect_size=\"23186432\"] \n  28 -> 29 [size =\"23186432\"]\n  29 [size=\"61790720\", alpha=\"0.06\", expect_size=\"24716288\"] \n  30 [size=\"22850560\", alpha=\"0.05\", expect_size=\"9140224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102154240\", alpha=\"0.04\", expect_size=\"51077120\"] \n  1 -> 11 [size =\"51077120\"]\n  1 -> 12 [size =\"51077120\"]\n  1 -> 19 [size =\"51077120\"]\n  1 -> 20 [size =\"51077120\"]\n  2 [size=\"20692992\", alpha=\"0.17\", expect_size=\"10346496\"] \n  2 -> 17 [size =\"10346496\"]\n  2 -> 19 [size =\"10346496\"]\n  2 -> 21 [size =\"10346496\"]\n  3 [size=\"72249344\", alpha=\"0.17\", expect_size=\"36124672\"] \n  3 -> 13 [size =\"36124672\"]\n  3 -> 15 [size =\"36124672\"]\n  3 -> 16 [size =\"36124672\"]\n  3 -> 19 [size =\"36124672\"]\n  3 -> 20 [size =\"36124672\"]\n  4 [size=\"87105536\", alpha=\"0.00\", expect_size=\"43552768\"] \n  4 -> 13 [size =\"43552768\"]\n  4 -> 14 [size =\"43552768\"]\n  4 -> 15 [size =\"43552768\"]\n  4 -> 18 [size =\"43552768\"]\n  4 -> 21 [size =\"43552768\"]\n  4 -> 22 [size =\"43552768\"]\n  5 [size=\"44867584\", alpha=\"0.12\", expect_size=\"22433792\"] \n  5 -> 15 [size =\"22433792\"]\n  5 -> 22 [size =\"22433792\"]\n  6 [size=\"93116416\", alpha=\"0.10\", expect_size=\"46558208\"] \n  6 -> 13 [size =\"46558208\"]\n  6 -> 18 [size =\"46558208\"]\n  6 -> 19 [size =\"46558208\"]\n  6 -> 21 [size =\"46558208\"]\n  7 [size=\"45103104\", alpha=\"0.17\", expect_size=\"22551552\"] \n  7 -> 11 [size =\"22551552\"]\n  7 -> 13 [size =\"22551552\"]\n  7 -> 18 [size =\"22551552\"]\n  7 -> 20 [size =\"22551552\"]\n  8 [size=\"65294336\", alpha=\"0.01\", expect_size=\"32647168\"] \n  8 -> 11 [size =\"32647168\"]\n  8 -> 14 [size =\"32647168\"]\n  8 -> 17 [size =\"32647168\"]\n  8 -> 18 [size =\"32647168\"]\n  8 -> 21 [size =\"32647168\"]\n  9 [size=\"30863360\", alpha=\"0.05\", expect_size=\"15431680\"] \n  9 -> 15 [size =\"15431680\"]\n  9 -> 19 [size =\"15431680\"]\n  9 -> 20 [size =\"15431680\"]\n  9 -> 22 [size =\"15431680\"]\n  10 [size=\"70268928\", alpha=\"0.02\", expect_size=\"35134464\"] \n  10 -> 19 [size =\"35134464\"]\n  10 -> 19 [size =\"35134464\"]\n  10 -> 20 [size =\"35134464\"]\n  10 -> 22 [size =\"35134464\"]\n  11 [size=\"65636352\", alpha=\"0.04\", expect_size=\"32818176\"] \n  11 -> 23 [size =\"32818176\"]\n  11 -> 24 [size =\"32818176\"]\n  11 -> 25 [size =\"32818176\"]\n  11 -> 30 [size =\"32818176\"]\n  12 [size=\"86347776\", alpha=\"0.10\", expect_size=\"43173888\"] \n  12 -> 23 [size =\"43173888\"]\n  12 -> 24 [size =\"43173888\"]\n  12 -> 30 [size =\"43173888\"]\n  13 [size=\"71337984\", alpha=\"0.06\", expect_size=\"35668992\"] \n  13 -> 29 [size =\"35668992\"]\n  14 [size=\"59109376\", alpha=\"0.16\", expect_size=\"29554688\"] \n  14 -> 24 [size =\"29554688\"]\n  14 -> 26 [size =\"29554688\"]\n  14 -> 29 [size =\"29554688\"]\n  15 [size=\"61423616\", alpha=\"0.14\", expect_size=\"30711808\"] \n  15 -> 24 [size =\"30711808\"]\n  15 -> 29 [size =\"30711808\"]\n  15 -> 30 [size =\"30711808\"]\n  16 [size=\"21901312\", alpha=\"0.05\", expect_size=\"10950656\"] \n  16 -> 24 [size =\"10950656\"]\n  16 -> 28 [size =\"10950656\"]\n  16 -> 29 [size =\"10950656\"]\n  17 [size=\"70625280\", alpha=\"0.09\", expect_size=\"35312640\"] \n  17 -> 30 [size =\"35312640\"]\n  18 [size=\"54501376\", alpha=\"0.16\", expect_size=\"27250688\"] \n  18 -> 23 [size =\"27250688\"]\n  18 -> 24 [size =\"27250688\"]\n  18 -> 25 [size =\"27250688\"]\n  18 -> 30 [size =\"27250688\"]\n  19 [size=\"58544128\", alpha=\"0.12\", expect_size=\"29272064\"] \n  19 -> 27 [size =\"29272064\"]\n  19 -> 30 [size =\"29272064\"]\n  20 [size=\"83261440\", alpha=\"0.19\", expect_size=\"41630720\"] \n  20 -> 23 [size =\"41630720\"]\n  20 -> 30 [size =\"41630720\"]\n  21 [size=\"93093888\", alpha=\"0.05\", expect_size=\"46546944\"] \n  21 -> 26 [size =\"46546944\"]\n  21 -> 27 [size =\"46546944\"]\n  21 -> 30 [size =\"46546944\"]\n  22 [size=\"17057792\", alpha=\"0.14\", expect_size=\"8528896\"] \n  22 -> 23 [size =\"8528896\"]\n  22 -> 24 [size =\"8528896\"]\n  22 -> 29 [size =\"8528896\"]\n  22 -> 30 [size =\"8528896\"]\n  23 [size=\"64264192\", alpha=\"0.15\", expect_size=\"32132096\"] \n  24 [size=\"92006400\", alpha=\"0.13\", expect_size=\"46003200\"] \n  25 [size=\"71841792\", alpha=\"0.18\", expect_size=\"35920896\"] \n  26 [size=\"44732416\", alpha=\"0.01\", expect_size=\"22366208\"] \n  27 [size=\"66541568\", alpha=\"0.10\", expect_size=\"33270784\"] \n  28 [size=\"13709312\", alpha=\"0.12\", expect_size=\"6854656\"] \n  29 [size=\"90564608\", alpha=\"0.18\", expect_size=\"45282304\"] \n  30 [size=\"53833728\", alpha=\"0.16\", expect_size=\"26916864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118269440\", alpha=\"0.12\", expect_size=\"47307776\"] \n  1 -> 2 [size =\"47307776\"]\n  2 [size=\"66572800\", alpha=\"0.01\", expect_size=\"26629120\"] \n  2 -> 3 [size =\"26629120\"]\n  3 [size=\"27384320\", alpha=\"0.19\", expect_size=\"10953728\"] \n  3 -> 4 [size =\"10953728\"]\n  4 [size=\"22656000\", alpha=\"0.05\", expect_size=\"9062400\"] \n  4 -> 5 [size =\"9062400\"]\n  5 [size=\"46691840\", alpha=\"0.18\", expect_size=\"18676736\"] \n  5 -> 6 [size =\"18676736\"]\n  6 [size=\"107927040\", alpha=\"0.04\", expect_size=\"43170816\"] \n  6 -> 7 [size =\"43170816\"]\n  7 [size=\"122465280\", alpha=\"0.01\", expect_size=\"48986112\"] \n  7 -> 8 [size =\"48986112\"]\n  8 [size=\"84357120\", alpha=\"0.03\", expect_size=\"33742848\"] \n  8 -> 9 [size =\"33742848\"]\n  9 [size=\"36016640\", alpha=\"0.10\", expect_size=\"14406656\"] \n  9 -> 10 [size =\"14406656\"]\n  10 [size=\"93171200\", alpha=\"0.10\", expect_size=\"37268480\"] \n  10 -> 11 [size =\"37268480\"]\n  11 [size=\"24227840\", alpha=\"0.15\", expect_size=\"9691136\"] \n  11 -> 12 [size =\"9691136\"]\n  12 [size=\"93644800\", alpha=\"0.03\", expect_size=\"37457920\"] \n  12 -> 13 [size =\"37457920\"]\n  13 [size=\"99750400\", alpha=\"0.17\", expect_size=\"39900160\"] \n  13 -> 14 [size =\"39900160\"]\n  14 [size=\"94292480\", alpha=\"0.08\", expect_size=\"37716992\"] \n  14 -> 15 [size =\"37716992\"]\n  15 [size=\"126535680\", alpha=\"0.02\", expect_size=\"50614272\"] \n  15 -> 16 [size =\"50614272\"]\n  16 [size=\"112069120\", alpha=\"0.01\", expect_size=\"44827648\"] \n  16 -> 17 [size =\"44827648\"]\n  17 [size=\"14917120\", alpha=\"0.05\", expect_size=\"5966848\"] \n  17 -> 18 [size =\"5966848\"]\n  18 [size=\"18408960\", alpha=\"0.20\", expect_size=\"7363584\"] \n  18 -> 19 [size =\"7363584\"]\n  19 [size=\"36968960\", alpha=\"0.06\", expect_size=\"14787584\"] \n  19 -> 20 [size =\"14787584\"]\n  20 [size=\"96611840\", alpha=\"0.14\", expect_size=\"38644736\"] \n  20 -> 21 [size =\"38644736\"]\n  21 [size=\"38254080\", alpha=\"0.20\", expect_size=\"15301632\"] \n  21 -> 22 [size =\"15301632\"]\n  22 [size=\"129093120\", alpha=\"0.15\", expect_size=\"51637248\"] \n  22 -> 23 [size =\"51637248\"]\n  23 [size=\"28881920\", alpha=\"0.12\", expect_size=\"11552768\"] \n  23 -> 24 [size =\"11552768\"]\n  24 [size=\"131061760\", alpha=\"0.11\", expect_size=\"52424704\"] \n  24 -> 25 [size =\"52424704\"]\n  25 [size=\"61683200\", alpha=\"0.16\", expect_size=\"24673280\"] \n  25 -> 26 [size =\"24673280\"]\n  26 [size=\"71078400\", alpha=\"0.17\", expect_size=\"28431360\"] \n  26 -> 27 [size =\"28431360\"]\n  27 [size=\"75832320\", alpha=\"0.17\", expect_size=\"30332928\"] \n  27 -> 28 [size =\"30332928\"]\n  28 [size=\"108221440\", alpha=\"0.08\", expect_size=\"43288576\"] \n  28 -> 29 [size =\"43288576\"]\n  29 [size=\"108014080\", alpha=\"0.04\", expect_size=\"43205632\"] \n  29 -> 30 [size =\"43205632\"]\n  30 [size=\"23004160\", alpha=\"0.13\", expect_size=\"9201664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73052160\", alpha=\"0.07\", expect_size=\"36526080\"] \n  1 -> 26 [size =\"36526080\"]\n  2 [size=\"67530752\", alpha=\"0.20\", expect_size=\"33765376\"] \n  2 -> 24 [size =\"33765376\"]\n  2 -> 29 [size =\"33765376\"]\n  2 -> 30 [size =\"33765376\"]\n  3 [size=\"63795200\", alpha=\"0.07\", expect_size=\"31897600\"] \n  3 -> 21 [size =\"31897600\"]\n  3 -> 26 [size =\"31897600\"]\n  3 -> 30 [size =\"31897600\"]\n  4 [size=\"12398592\", alpha=\"0.14\", expect_size=\"6199296\"] \n  4 -> 21 [size =\"6199296\"]\n  4 -> 23 [size =\"6199296\"]\n  4 -> 24 [size =\"6199296\"]\n  4 -> 26 [size =\"6199296\"]\n  4 -> 29 [size =\"6199296\"]\n  5 [size=\"57061376\", alpha=\"0.13\", expect_size=\"28530688\"] \n  5 -> 29 [size =\"28530688\"]\n  6 [size=\"71000064\", alpha=\"0.13\", expect_size=\"35500032\"] \n  6 -> 21 [size =\"35500032\"]\n  6 -> 26 [size =\"35500032\"]\n  6 -> 30 [size =\"35500032\"]\n  7 [size=\"86841344\", alpha=\"0.00\", expect_size=\"43420672\"] \n  7 -> 21 [size =\"43420672\"]\n  7 -> 27 [size =\"43420672\"]\n  7 -> 28 [size =\"43420672\"]\n  7 -> 30 [size =\"43420672\"]\n  8 [size=\"40437760\", alpha=\"0.16\", expect_size=\"20218880\"] \n  8 -> 21 [size =\"20218880\"]\n  8 -> 24 [size =\"20218880\"]\n  8 -> 28 [size =\"20218880\"]\n  8 -> 29 [size =\"20218880\"]\n  8 -> 30 [size =\"20218880\"]\n  9 [size=\"94107648\", alpha=\"0.13\", expect_size=\"47053824\"] \n  9 -> 24 [size =\"47053824\"]\n  9 -> 24 [size =\"47053824\"]\n  9 -> 27 [size =\"47053824\"]\n  10 [size=\"12554240\", alpha=\"0.03\", expect_size=\"6277120\"] \n  10 -> 21 [size =\"6277120\"]\n  10 -> 24 [size =\"6277120\"]\n  10 -> 28 [size =\"6277120\"]\n  10 -> 29 [size =\"6277120\"]\n  10 -> 30 [size =\"6277120\"]\n  11 [size=\"12089344\", alpha=\"0.08\", expect_size=\"6044672\"] \n  11 -> 21 [size =\"6044672\"]\n  11 -> 28 [size =\"6044672\"]\n  11 -> 29 [size =\"6044672\"]\n  12 [size=\"42926080\", alpha=\"0.19\", expect_size=\"21463040\"] \n  12 -> 21 [size =\"21463040\"]\n  12 -> 27 [size =\"21463040\"]\n  12 -> 28 [size =\"21463040\"]\n  12 -> 29 [size =\"21463040\"]\n  12 -> 30 [size =\"21463040\"]\n  13 [size=\"41664512\", alpha=\"0.19\", expect_size=\"20832256\"] \n  13 -> 22 [size =\"20832256\"]\n  13 -> 24 [size =\"20832256\"]\n  13 -> 28 [size =\"20832256\"]\n  13 -> 30 [size =\"20832256\"]\n  14 [size=\"73027584\", alpha=\"0.17\", expect_size=\"36513792\"] \n  14 -> 22 [size =\"36513792\"]\n  14 -> 28 [size =\"36513792\"]\n  14 -> 28 [size =\"36513792\"]\n  14 -> 29 [size =\"36513792\"]\n  14 -> 30 [size =\"36513792\"]\n  15 [size=\"44748800\", alpha=\"0.02\", expect_size=\"22374400\"] \n  15 -> 27 [size =\"22374400\"]\n  15 -> 28 [size =\"22374400\"]\n  15 -> 30 [size =\"22374400\"]\n  16 [size=\"12089344\", alpha=\"0.15\", expect_size=\"6044672\"] \n  16 -> 21 [size =\"6044672\"]\n  16 -> 26 [size =\"6044672\"]\n  16 -> 27 [size =\"6044672\"]\n  16 -> 28 [size =\"6044672\"]\n  16 -> 29 [size =\"6044672\"]\n  17 [size=\"75053056\", alpha=\"0.06\", expect_size=\"37526528\"] \n  17 -> 21 [size =\"37526528\"]\n  17 -> 29 [size =\"37526528\"]\n  17 -> 30 [size =\"37526528\"]\n  18 [size=\"77144064\", alpha=\"0.16\", expect_size=\"38572032\"] \n  18 -> 21 [size =\"38572032\"]\n  18 -> 25 [size =\"38572032\"]\n  18 -> 27 [size =\"38572032\"]\n  19 [size=\"57694208\", alpha=\"0.07\", expect_size=\"28847104\"] \n  19 -> 27 [size =\"28847104\"]\n  19 -> 29 [size =\"28847104\"]\n  19 -> 30 [size =\"28847104\"]\n  20 [size=\"26517504\", alpha=\"0.19\", expect_size=\"13258752\"] \n  20 -> 22 [size =\"13258752\"]\n  20 -> 27 [size =\"13258752\"]\n  21 [size=\"40566784\", alpha=\"0.04\", expect_size=\"20283392\"] \n  22 [size=\"78475264\", alpha=\"0.01\", expect_size=\"39237632\"] \n  23 [size=\"74256384\", alpha=\"0.10\", expect_size=\"37128192\"] \n  24 [size=\"69552128\", alpha=\"0.19\", expect_size=\"34776064\"] \n  25 [size=\"57231360\", alpha=\"0.18\", expect_size=\"28615680\"] \n  26 [size=\"64317440\", alpha=\"0.10\", expect_size=\"32158720\"] \n  27 [size=\"38569984\", alpha=\"0.18\", expect_size=\"19284992\"] \n  28 [size=\"68341760\", alpha=\"0.13\", expect_size=\"34170880\"] \n  29 [size=\"51386368\", alpha=\"0.05\", expect_size=\"25693184\"] \n  30 [size=\"82071552\", alpha=\"0.17\", expect_size=\"41035776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103843840\", alpha=\"0.14\", expect_size=\"41537536\"] \n  1 -> 26 [size =\"41537536\"]\n  1 -> 27 [size =\"41537536\"]\n  1 -> 28 [size =\"41537536\"]\n  1 -> 29 [size =\"41537536\"]\n  2 [size=\"18670080\", alpha=\"0.02\", expect_size=\"7468032\"] \n  2 -> 26 [size =\"7468032\"]\n  2 -> 27 [size =\"7468032\"]\n  2 -> 30 [size =\"7468032\"]\n  3 [size=\"33994240\", alpha=\"0.17\", expect_size=\"13597696\"] \n  3 -> 27 [size =\"13597696\"]\n  3 -> 27 [size =\"13597696\"]\n  3 -> 28 [size =\"13597696\"]\n  3 -> 29 [size =\"13597696\"]\n  3 -> 30 [size =\"13597696\"]\n  4 [size=\"53849600\", alpha=\"0.06\", expect_size=\"21539840\"] \n  4 -> 27 [size =\"21539840\"]\n  4 -> 29 [size =\"21539840\"]\n  5 [size=\"69516800\", alpha=\"0.00\", expect_size=\"27806720\"] \n  5 -> 27 [size =\"27806720\"]\n  5 -> 28 [size =\"27806720\"]\n  6 [size=\"33315840\", alpha=\"0.10\", expect_size=\"13326336\"] \n  6 -> 26 [size =\"13326336\"]\n  6 -> 27 [size =\"13326336\"]\n  6 -> 28 [size =\"13326336\"]\n  6 -> 30 [size =\"13326336\"]\n  7 [size=\"66831360\", alpha=\"0.09\", expect_size=\"26732544\"] \n  7 -> 30 [size =\"26732544\"]\n  8 [size=\"20334080\", alpha=\"0.15\", expect_size=\"8133632\"] \n  8 -> 27 [size =\"8133632\"]\n  8 -> 28 [size =\"8133632\"]\n  9 [size=\"49344000\", alpha=\"0.17\", expect_size=\"19737600\"] \n  9 -> 26 [size =\"19737600\"]\n  9 -> 28 [size =\"19737600\"]\n  9 -> 29 [size =\"19737600\"]\n  10 [size=\"30924800\", alpha=\"0.11\", expect_size=\"12369920\"] \n  10 -> 26 [size =\"12369920\"]\n  10 -> 28 [size =\"12369920\"]\n  11 [size=\"68789760\", alpha=\"0.09\", expect_size=\"27515904\"] \n  11 -> 28 [size =\"27515904\"]\n  11 -> 29 [size =\"27515904\"]\n  12 [size=\"32744960\", alpha=\"0.04\", expect_size=\"13097984\"] \n  13 [size=\"41730560\", alpha=\"0.08\", expect_size=\"16692224\"] \n  13 -> 30 [size =\"16692224\"]\n  14 [size=\"24107520\", alpha=\"0.12\", expect_size=\"9643008\"] \n  14 -> 28 [size =\"9643008\"]\n  14 -> 30 [size =\"9643008\"]\n  15 [size=\"59857920\", alpha=\"0.05\", expect_size=\"23943168\"] \n  15 -> 27 [size =\"23943168\"]\n  15 -> 28 [size =\"23943168\"]\n  16 [size=\"61760000\", alpha=\"0.05\", expect_size=\"24704000\"] \n  17 [size=\"119526400\", alpha=\"0.09\", expect_size=\"47810560\"] \n  17 -> 27 [size =\"47810560\"]\n  17 -> 29 [size =\"47810560\"]\n  18 [size=\"51870720\", alpha=\"0.19\", expect_size=\"20748288\"] \n  18 -> 29 [size =\"20748288\"]\n  18 -> 30 [size =\"20748288\"]\n  19 [size=\"22504960\", alpha=\"0.07\", expect_size=\"9001984\"] \n  19 -> 28 [size =\"9001984\"]\n  19 -> 29 [size =\"9001984\"]\n  20 [size=\"123143680\", alpha=\"0.04\", expect_size=\"49257472\"] \n  20 -> 26 [size =\"49257472\"]\n  20 -> 28 [size =\"49257472\"]\n  20 -> 29 [size =\"49257472\"]\n  21 [size=\"69939200\", alpha=\"0.16\", expect_size=\"27975680\"] \n  21 -> 27 [size =\"27975680\"]\n  22 [size=\"122081280\", alpha=\"0.09\", expect_size=\"48832512\"] \n  22 -> 28 [size =\"48832512\"]\n  22 -> 29 [size =\"48832512\"]\n  22 -> 30 [size =\"48832512\"]\n  23 [size=\"29800960\", alpha=\"0.06\", expect_size=\"11920384\"] \n  23 -> 28 [size =\"11920384\"]\n  24 [size=\"74885120\", alpha=\"0.09\", expect_size=\"29954048\"] \n  24 -> 28 [size =\"29954048\"]\n  25 [size=\"28241920\", alpha=\"0.02\", expect_size=\"11296768\"] \n  25 -> 27 [size =\"11296768\"]\n  25 -> 28 [size =\"11296768\"]\n  26 [size=\"55406080\", alpha=\"0.19\", expect_size=\"22162432\"] \n  27 [size=\"87262720\", alpha=\"0.05\", expect_size=\"34905088\"] \n  28 [size=\"24576000\", alpha=\"0.12\", expect_size=\"9830400\"] \n  29 [size=\"16916480\", alpha=\"0.05\", expect_size=\"6766592\"] \n  30 [size=\"56325120\", alpha=\"0.01\", expect_size=\"22530048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15493120\", alpha=\"0.08\", expect_size=\"7746560\"] \n  1 -> 2 [size =\"7746560\"]\n  2 [size=\"97589248\", alpha=\"0.09\", expect_size=\"48794624\"] \n  2 -> 3 [size =\"48794624\"]\n  3 [size=\"48834560\", alpha=\"0.02\", expect_size=\"24417280\"] \n  3 -> 4 [size =\"24417280\"]\n  4 [size=\"28223488\", alpha=\"0.20\", expect_size=\"14111744\"] \n  4 -> 5 [size =\"14111744\"]\n  5 [size=\"43468800\", alpha=\"0.18\", expect_size=\"21734400\"] \n  5 -> 6 [size =\"21734400\"]\n  6 [size=\"38977536\", alpha=\"0.15\", expect_size=\"19488768\"] \n  6 -> 7 [size =\"19488768\"]\n  7 [size=\"56838144\", alpha=\"0.01\", expect_size=\"28419072\"] \n  7 -> 8 [size =\"28419072\"]\n  8 [size=\"65114112\", alpha=\"0.18\", expect_size=\"32557056\"] \n  8 -> 9 [size =\"32557056\"]\n  9 [size=\"45193216\", alpha=\"0.02\", expect_size=\"22596608\"] \n  9 -> 10 [size =\"22596608\"]\n  10 [size=\"17795072\", alpha=\"0.02\", expect_size=\"8897536\"] \n  10 -> 11 [size =\"8897536\"]\n  11 [size=\"89405440\", alpha=\"0.01\", expect_size=\"44702720\"] \n  11 -> 12 [size =\"44702720\"]\n  12 [size=\"33028096\", alpha=\"0.00\", expect_size=\"16514048\"] \n  12 -> 13 [size =\"16514048\"]\n  13 [size=\"76560384\", alpha=\"0.09\", expect_size=\"38280192\"] \n  13 -> 14 [size =\"38280192\"]\n  14 [size=\"88176640\", alpha=\"0.15\", expect_size=\"44088320\"] \n  14 -> 15 [size =\"44088320\"]\n  15 [size=\"86990848\", alpha=\"0.11\", expect_size=\"43495424\"] \n  15 -> 16 [size =\"43495424\"]\n  16 [size=\"76423168\", alpha=\"0.18\", expect_size=\"38211584\"] \n  16 -> 17 [size =\"38211584\"]\n  17 [size=\"53805056\", alpha=\"0.13\", expect_size=\"26902528\"] \n  17 -> 18 [size =\"26902528\"]\n  18 [size=\"59985920\", alpha=\"0.04\", expect_size=\"29992960\"] \n  18 -> 19 [size =\"29992960\"]\n  19 [size=\"49403904\", alpha=\"0.14\", expect_size=\"24701952\"] \n  19 -> 20 [size =\"24701952\"]\n  20 [size=\"57526272\", alpha=\"0.08\", expect_size=\"28763136\"] \n  20 -> 21 [size =\"28763136\"]\n  21 [size=\"67954688\", alpha=\"0.04\", expect_size=\"33977344\"] \n  21 -> 22 [size =\"33977344\"]\n  22 [size=\"72185856\", alpha=\"0.18\", expect_size=\"36092928\"] \n  22 -> 23 [size =\"36092928\"]\n  23 [size=\"73033728\", alpha=\"0.01\", expect_size=\"36516864\"] \n  23 -> 24 [size =\"36516864\"]\n  24 [size=\"22704128\", alpha=\"0.07\", expect_size=\"11352064\"] \n  24 -> 25 [size =\"11352064\"]\n  25 [size=\"93767680\", alpha=\"0.00\", expect_size=\"46883840\"] \n  25 -> 26 [size =\"46883840\"]\n  26 [size=\"52060160\", alpha=\"0.19\", expect_size=\"26030080\"] \n  26 -> 27 [size =\"26030080\"]\n  27 [size=\"42645504\", alpha=\"0.09\", expect_size=\"21322752\"] \n  27 -> 28 [size =\"21322752\"]\n  28 [size=\"104849408\", alpha=\"0.09\", expect_size=\"52424704\"] \n  28 -> 29 [size =\"52424704\"]\n  29 [size=\"30625792\", alpha=\"0.17\", expect_size=\"15312896\"] \n  29 -> 30 [size =\"15312896\"]\n  30 [size=\"94750720\", alpha=\"0.07\", expect_size=\"47375360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145298773\", alpha=\"0.18\", expect_size=\"43589632\"] \n  1 -> 2 [size =\"43589632\"]\n  2 [size=\"63709867\", alpha=\"0.17\", expect_size=\"19112960\"] \n  2 -> 3 [size =\"19112960\"]\n  3 [size=\"131730773\", alpha=\"0.02\", expect_size=\"39519232\"] \n  3 -> 4 [size =\"39519232\"]\n  4 [size=\"37632000\", alpha=\"0.10\", expect_size=\"11289600\"] \n  4 -> 5 [size =\"11289600\"]\n  5 [size=\"115729067\", alpha=\"0.10\", expect_size=\"34718720\"] \n  5 -> 6 [size =\"34718720\"]\n  6 [size=\"29105493\", alpha=\"0.05\", expect_size=\"8731648\"] \n  6 -> 7 [size =\"8731648\"]\n  7 [size=\"144616107\", alpha=\"0.08\", expect_size=\"43384832\"] \n  7 -> 8 [size =\"43384832\"]\n  8 [size=\"27054080\", alpha=\"0.13\", expect_size=\"8116224\"] \n  8 -> 9 [size =\"8116224\"]\n  9 [size=\"35785387\", alpha=\"0.07\", expect_size=\"10735616\"] \n  9 -> 10 [size =\"10735616\"]\n  10 [size=\"139359573\", alpha=\"0.01\", expect_size=\"41807872\"] \n  10 -> 11 [size =\"41807872\"]\n  11 [size=\"48394240\", alpha=\"0.19\", expect_size=\"14518272\"] \n  11 -> 12 [size =\"14518272\"]\n  12 [size=\"32433493\", alpha=\"0.20\", expect_size=\"9730048\"] \n  12 -> 13 [size =\"9730048\"]\n  13 [size=\"163505493\", alpha=\"0.15\", expect_size=\"49051648\"] \n  13 -> 14 [size =\"49051648\"]\n  14 [size=\"21101227\", alpha=\"0.00\", expect_size=\"6330368\"] \n  14 -> 15 [size =\"6330368\"]\n  15 [size=\"98010453\", alpha=\"0.12\", expect_size=\"29403136\"] \n  15 -> 16 [size =\"29403136\"]\n  16 [size=\"20305920\", alpha=\"0.04\", expect_size=\"6091776\"] \n  16 -> 17 [size =\"6091776\"]\n  17 [size=\"60641280\", alpha=\"0.11\", expect_size=\"18192384\"] \n  17 -> 18 [size =\"18192384\"]\n  18 [size=\"123982507\", alpha=\"0.07\", expect_size=\"37194752\"] \n  18 -> 19 [size =\"37194752\"]\n  19 [size=\"69085867\", alpha=\"0.11\", expect_size=\"20725760\"] \n  19 -> 20 [size =\"20725760\"]\n  20 [size=\"121186987\", alpha=\"0.19\", expect_size=\"36356096\"] \n  20 -> 21 [size =\"36356096\"]\n  21 [size=\"131894613\", alpha=\"0.02\", expect_size=\"39568384\"] \n  21 -> 22 [size =\"39568384\"]\n  22 [size=\"121808213\", alpha=\"0.12\", expect_size=\"36542464\"] \n  22 -> 23 [size =\"36542464\"]\n  23 [size=\"118476800\", alpha=\"0.16\", expect_size=\"35543040\"] \n  23 -> 24 [size =\"35543040\"]\n  24 [size=\"78124373\", alpha=\"0.03\", expect_size=\"23437312\"] \n  24 -> 25 [size =\"23437312\"]\n  25 [size=\"80206507\", alpha=\"0.02\", expect_size=\"24061952\"] \n  25 -> 26 [size =\"24061952\"]\n  26 [size=\"19326293\", alpha=\"0.03\", expect_size=\"5797888\"] \n  26 -> 27 [size =\"5797888\"]\n  27 [size=\"47534080\", alpha=\"0.20\", expect_size=\"14260224\"] \n  27 -> 28 [size =\"14260224\"]\n  28 [size=\"135847253\", alpha=\"0.18\", expect_size=\"40754176\"] \n  28 -> 29 [size =\"40754176\"]\n  29 [size=\"35624960\", alpha=\"0.19\", expect_size=\"10687488\"] \n  29 -> 30 [size =\"10687488\"]\n  30 [size=\"122668373\", alpha=\"0.14\", expect_size=\"36800512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103782400\", alpha=\"0.07\", expect_size=\"31134720\"] \n  1 -> 2 [size =\"31134720\"]\n  2 [size=\"117476693\", alpha=\"0.13\", expect_size=\"35243008\"] \n  2 -> 3 [size =\"35243008\"]\n  3 [size=\"97761280\", alpha=\"0.00\", expect_size=\"29328384\"] \n  3 -> 4 [size =\"29328384\"]\n  4 [size=\"99853653\", alpha=\"0.08\", expect_size=\"29956096\"] \n  4 -> 5 [size =\"29956096\"]\n  5 [size=\"71700480\", alpha=\"0.01\", expect_size=\"21510144\"] \n  5 -> 6 [size =\"21510144\"]\n  6 [size=\"61197653\", alpha=\"0.03\", expect_size=\"18359296\"] \n  6 -> 7 [size =\"18359296\"]\n  7 [size=\"24046933\", alpha=\"0.03\", expect_size=\"7214080\"] \n  7 -> 8 [size =\"7214080\"]\n  8 [size=\"86685013\", alpha=\"0.06\", expect_size=\"26005504\"] \n  8 -> 9 [size =\"26005504\"]\n  9 [size=\"55043413\", alpha=\"0.09\", expect_size=\"16513024\"] \n  9 -> 10 [size =\"16513024\"]\n  10 [size=\"146162347\", alpha=\"0.07\", expect_size=\"43848704\"] \n  10 -> 11 [size =\"43848704\"]\n  11 [size=\"75513173\", alpha=\"0.13\", expect_size=\"22653952\"] \n  11 -> 12 [size =\"22653952\"]\n  12 [size=\"131208533\", alpha=\"0.14\", expect_size=\"39362560\"] \n  12 -> 13 [size =\"39362560\"]\n  13 [size=\"77312000\", alpha=\"0.05\", expect_size=\"23193600\"] \n  13 -> 14 [size =\"23193600\"]\n  14 [size=\"78749013\", alpha=\"0.19\", expect_size=\"23624704\"] \n  14 -> 15 [size =\"23624704\"]\n  15 [size=\"145288533\", alpha=\"0.06\", expect_size=\"43586560\"] \n  15 -> 16 [size =\"43586560\"]\n  16 [size=\"152279040\", alpha=\"0.01\", expect_size=\"45683712\"] \n  16 -> 17 [size =\"45683712\"]\n  17 [size=\"20043093\", alpha=\"0.19\", expect_size=\"6012928\"] \n  17 -> 18 [size =\"6012928\"]\n  18 [size=\"40594773\", alpha=\"0.19\", expect_size=\"12178432\"] \n  18 -> 19 [size =\"12178432\"]\n  19 [size=\"85657600\", alpha=\"0.05\", expect_size=\"25697280\"] \n  19 -> 20 [size =\"25697280\"]\n  20 [size=\"152958293\", alpha=\"0.03\", expect_size=\"45887488\"] \n  20 -> 21 [size =\"45887488\"]\n  21 [size=\"51176107\", alpha=\"0.12\", expect_size=\"15352832\"] \n  21 -> 22 [size =\"15352832\"]\n  22 [size=\"149695147\", alpha=\"0.14\", expect_size=\"44908544\"] \n  22 -> 23 [size =\"44908544\"]\n  23 [size=\"105045333\", alpha=\"0.06\", expect_size=\"31513600\"] \n  23 -> 24 [size =\"31513600\"]\n  24 [size=\"144465920\", alpha=\"0.08\", expect_size=\"43339776\"] \n  24 -> 25 [size =\"43339776\"]\n  25 [size=\"138321920\", alpha=\"0.17\", expect_size=\"41496576\"] \n  25 -> 26 [size =\"41496576\"]\n  26 [size=\"29047467\", alpha=\"0.12\", expect_size=\"8714240\"] \n  26 -> 27 [size =\"8714240\"]\n  27 [size=\"34925227\", alpha=\"0.08\", expect_size=\"10477568\"] \n  27 -> 28 [size =\"10477568\"]\n  28 [size=\"30801920\", alpha=\"0.12\", expect_size=\"9240576\"] \n  28 -> 29 [size =\"9240576\"]\n  29 [size=\"21435733\", alpha=\"0.01\", expect_size=\"6430720\"] \n  29 -> 30 [size =\"6430720\"]\n  30 [size=\"62109013\", alpha=\"0.07\", expect_size=\"18632704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92103680\", alpha=\"0.03\", expect_size=\"36841472\"] \n  1 -> 10 [size =\"36841472\"]\n  1 -> 13 [size =\"36841472\"]\n  2 [size=\"65003520\", alpha=\"0.17\", expect_size=\"26001408\"] \n  2 -> 10 [size =\"26001408\"]\n  2 -> 14 [size =\"26001408\"]\n  3 [size=\"122880000\", alpha=\"0.09\", expect_size=\"49152000\"] \n  3 -> 9 [size =\"49152000\"]\n  3 -> 10 [size =\"49152000\"]\n  4 [size=\"98304000\", alpha=\"0.16\", expect_size=\"39321600\"] \n  4 -> 8 [size =\"39321600\"]\n  4 -> 10 [size =\"39321600\"]\n  4 -> 11 [size =\"39321600\"]\n  4 -> 13 [size =\"39321600\"]\n  5 [size=\"128110080\", alpha=\"0.02\", expect_size=\"51244032\"] \n  5 -> 8 [size =\"51244032\"]\n  5 -> 9 [size =\"51244032\"]\n  5 -> 11 [size =\"51244032\"]\n  5 -> 12 [size =\"51244032\"]\n  5 -> 13 [size =\"51244032\"]\n  5 -> 14 [size =\"51244032\"]\n  6 [size=\"47480320\", alpha=\"0.03\", expect_size=\"18992128\"] \n  6 -> 8 [size =\"18992128\"]\n  6 -> 11 [size =\"18992128\"]\n  7 [size=\"19845120\", alpha=\"0.16\", expect_size=\"7938048\"] \n  7 -> 8 [size =\"7938048\"]\n  7 -> 11 [size =\"7938048\"]\n  7 -> 13 [size =\"7938048\"]\n  8 [size=\"24302080\", alpha=\"0.09\", expect_size=\"9720832\"] \n  8 -> 16 [size =\"9720832\"]\n  8 -> 18 [size =\"9720832\"]\n  8 -> 21 [size =\"9720832\"]\n  9 [size=\"25382400\", alpha=\"0.15\", expect_size=\"10152960\"] \n  10 [size=\"32947200\", alpha=\"0.19\", expect_size=\"13178880\"] \n  10 -> 15 [size =\"13178880\"]\n  10 -> 19 [size =\"13178880\"]\n  10 -> 20 [size =\"13178880\"]\n  10 -> 22 [size =\"13178880\"]\n  11 [size=\"86640640\", alpha=\"0.06\", expect_size=\"34656256\"] \n  11 -> 18 [size =\"34656256\"]\n  11 -> 19 [size =\"34656256\"]\n  11 -> 20 [size =\"34656256\"]\n  12 [size=\"106129920\", alpha=\"0.18\", expect_size=\"42451968\"] \n  12 -> 17 [size =\"42451968\"]\n  12 -> 18 [size =\"42451968\"]\n  12 -> 20 [size =\"42451968\"]\n  13 [size=\"87644160\", alpha=\"0.01\", expect_size=\"35057664\"] \n  13 -> 18 [size =\"35057664\"]\n  13 -> 20 [size =\"35057664\"]\n  13 -> 21 [size =\"35057664\"]\n  13 -> 22 [size =\"35057664\"]\n  14 [size=\"20928000\", alpha=\"0.09\", expect_size=\"8371200\"] \n  14 -> 15 [size =\"8371200\"]\n  15 [size=\"115824640\", alpha=\"0.05\", expect_size=\"46329856\"] \n  15 -> 23 [size =\"46329856\"]\n  15 -> 24 [size =\"46329856\"]\n  15 -> 25 [size =\"46329856\"]\n  15 -> 27 [size =\"46329856\"]\n  15 -> 30 [size =\"46329856\"]\n  16 [size=\"126174720\", alpha=\"0.16\", expect_size=\"50469888\"] \n  16 -> 24 [size =\"50469888\"]\n  16 -> 25 [size =\"50469888\"]\n  16 -> 30 [size =\"50469888\"]\n  17 [size=\"24153600\", alpha=\"0.06\", expect_size=\"9661440\"] \n  17 -> 29 [size =\"9661440\"]\n  18 [size=\"119296000\", alpha=\"0.06\", expect_size=\"47718400\"] \n  18 -> 27 [size =\"47718400\"]\n  18 -> 28 [size =\"47718400\"]\n  19 [size=\"56414720\", alpha=\"0.20\", expect_size=\"22565888\"] \n  19 -> 26 [size =\"22565888\"]\n  20 [size=\"29847040\", alpha=\"0.16\", expect_size=\"11938816\"] \n  20 -> 24 [size =\"11938816\"]\n  20 -> 28 [size =\"11938816\"]\n  20 -> 29 [size =\"11938816\"]\n  21 [size=\"25817600\", alpha=\"0.05\", expect_size=\"10327040\"] \n  21 -> 24 [size =\"10327040\"]\n  21 -> 28 [size =\"10327040\"]\n  22 [size=\"58915840\", alpha=\"0.03\", expect_size=\"23566336\"] \n  22 -> 24 [size =\"23566336\"]\n  22 -> 25 [size =\"23566336\"]\n  22 -> 27 [size =\"23566336\"]\n  22 -> 29 [size =\"23566336\"]\n  23 [size=\"47475200\", alpha=\"0.00\", expect_size=\"18990080\"] \n  24 [size=\"52848640\", alpha=\"0.11\", expect_size=\"21139456\"] \n  25 [size=\"107033600\", alpha=\"0.02\", expect_size=\"42813440\"] \n  26 [size=\"18370560\", alpha=\"0.19\", expect_size=\"7348224\"] \n  27 [size=\"111267840\", alpha=\"0.16\", expect_size=\"44507136\"] \n  28 [size=\"31513600\", alpha=\"0.16\", expect_size=\"12605440\"] \n  29 [size=\"68928000\", alpha=\"0.18\", expect_size=\"27571200\"] \n  30 [size=\"67619840\", alpha=\"0.03\", expect_size=\"27047936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63703040\", alpha=\"0.18\", expect_size=\"19110912\"] \n  1 -> 10 [size =\"19110912\"]\n  1 -> 11 [size =\"19110912\"]\n  1 -> 13 [size =\"19110912\"]\n  1 -> 14 [size =\"19110912\"]\n  1 -> 15 [size =\"19110912\"]\n  1 -> 16 [size =\"19110912\"]\n  1 -> 17 [size =\"19110912\"]\n  1 -> 18 [size =\"19110912\"]\n  2 [size=\"149899947\", alpha=\"0.13\", expect_size=\"44969984\"] \n  2 -> 10 [size =\"44969984\"]\n  2 -> 11 [size =\"44969984\"]\n  2 -> 16 [size =\"44969984\"]\n  2 -> 17 [size =\"44969984\"]\n  2 -> 19 [size =\"44969984\"]\n  3 [size=\"95580160\", alpha=\"0.11\", expect_size=\"28674048\"] \n  3 -> 11 [size =\"28674048\"]\n  3 -> 11 [size =\"28674048\"]\n  3 -> 12 [size =\"28674048\"]\n  4 [size=\"130242560\", alpha=\"0.10\", expect_size=\"39072768\"] \n  4 -> 10 [size =\"39072768\"]\n  4 -> 13 [size =\"39072768\"]\n  4 -> 14 [size =\"39072768\"]\n  4 -> 17 [size =\"39072768\"]\n  5 [size=\"55862613\", alpha=\"0.06\", expect_size=\"16758784\"] \n  5 -> 11 [size =\"16758784\"]\n  5 -> 13 [size =\"16758784\"]\n  5 -> 15 [size =\"16758784\"]\n  6 [size=\"157832533\", alpha=\"0.16\", expect_size=\"47349760\"] \n  6 -> 13 [size =\"47349760\"]\n  6 -> 18 [size =\"47349760\"]\n  7 [size=\"122917547\", alpha=\"0.20\", expect_size=\"36875264\"] \n  7 -> 12 [size =\"36875264\"]\n  7 -> 15 [size =\"36875264\"]\n  7 -> 16 [size =\"36875264\"]\n  8 [size=\"166604800\", alpha=\"0.05\", expect_size=\"49981440\"] \n  8 -> 10 [size =\"49981440\"]\n  8 -> 12 [size =\"49981440\"]\n  8 -> 16 [size =\"49981440\"]\n  8 -> 17 [size =\"49981440\"]\n  9 [size=\"137990827\", alpha=\"0.19\", expect_size=\"41397248\"] \n  9 -> 11 [size =\"41397248\"]\n  9 -> 12 [size =\"41397248\"]\n  9 -> 16 [size =\"41397248\"]\n  9 -> 17 [size =\"41397248\"]\n  10 [size=\"58955093\", alpha=\"0.07\", expect_size=\"17686528\"] \n  10 -> 23 [size =\"17686528\"]\n  10 -> 26 [size =\"17686528\"]\n  10 -> 27 [size =\"17686528\"]\n  10 -> 28 [size =\"17686528\"]\n  11 [size=\"150476800\", alpha=\"0.02\", expect_size=\"45143040\"] \n  11 -> 28 [size =\"45143040\"]\n  12 [size=\"136277333\", alpha=\"0.10\", expect_size=\"40883200\"] \n  12 -> 22 [size =\"40883200\"]\n  12 -> 24 [size =\"40883200\"]\n  12 -> 28 [size =\"40883200\"]\n  13 [size=\"79240533\", alpha=\"0.04\", expect_size=\"23772160\"] \n  13 -> 23 [size =\"23772160\"]\n  13 -> 24 [size =\"23772160\"]\n  14 [size=\"164194987\", alpha=\"0.05\", expect_size=\"49258496\"] \n  14 -> 23 [size =\"49258496\"]\n  14 -> 24 [size =\"49258496\"]\n  15 [size=\"85589333\", alpha=\"0.10\", expect_size=\"25676800\"] \n  15 -> 21 [size =\"25676800\"]\n  15 -> 22 [size =\"25676800\"]\n  15 -> 23 [size =\"25676800\"]\n  15 -> 28 [size =\"25676800\"]\n  16 [size=\"130867200\", alpha=\"0.03\", expect_size=\"39260160\"] \n  16 -> 20 [size =\"39260160\"]\n  16 -> 23 [size =\"39260160\"]\n  16 -> 27 [size =\"39260160\"]\n  16 -> 28 [size =\"39260160\"]\n  17 [size=\"97399467\", alpha=\"0.14\", expect_size=\"29219840\"] \n  17 -> 23 [size =\"29219840\"]\n  17 -> 23 [size =\"29219840\"]\n  17 -> 24 [size =\"29219840\"]\n  17 -> 26 [size =\"29219840\"]\n  17 -> 27 [size =\"29219840\"]\n  18 [size=\"95586987\", alpha=\"0.09\", expect_size=\"28676096\"] \n  18 -> 22 [size =\"28676096\"]\n  18 -> 26 [size =\"28676096\"]\n  18 -> 28 [size =\"28676096\"]\n  19 [size=\"135809707\", alpha=\"0.15\", expect_size=\"40742912\"] \n  19 -> 25 [size =\"40742912\"]\n  19 -> 26 [size =\"40742912\"]\n  19 -> 27 [size =\"40742912\"]\n  19 -> 28 [size =\"40742912\"]\n  20 [size=\"128808960\", alpha=\"0.11\", expect_size=\"38642688\"] \n  20 -> 30 [size =\"38642688\"]\n  21 [size=\"26245120\", alpha=\"0.14\", expect_size=\"7873536\"] \n  21 -> 30 [size =\"7873536\"]\n  22 [size=\"45783040\", alpha=\"0.14\", expect_size=\"13734912\"] \n  22 -> 30 [size =\"13734912\"]\n  23 [size=\"125812053\", alpha=\"0.03\", expect_size=\"37743616\"] \n  24 [size=\"160962560\", alpha=\"0.07\", expect_size=\"48288768\"] \n  24 -> 29 [size =\"48288768\"]\n  25 [size=\"41850880\", alpha=\"0.15\", expect_size=\"12555264\"] \n  26 [size=\"124163413\", alpha=\"0.02\", expect_size=\"37249024\"] \n  26 -> 30 [size =\"37249024\"]\n  27 [size=\"151517867\", alpha=\"0.01\", expect_size=\"45455360\"] \n  28 [size=\"105775787\", alpha=\"0.00\", expect_size=\"31732736\"] \n  29 [size=\"18769920\", alpha=\"0.14\", expect_size=\"5630976\"] \n  30 [size=\"135014400\", alpha=\"0.14\", expect_size=\"40504320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131918507\", alpha=\"0.19\", expect_size=\"39575552\"] \n  1 -> 5 [size =\"39575552\"]\n  1 -> 6 [size =\"39575552\"]\n  2 [size=\"89729707\", alpha=\"0.16\", expect_size=\"26918912\"] \n  2 -> 7 [size =\"26918912\"]\n  3 [size=\"78598827\", alpha=\"0.07\", expect_size=\"23579648\"] \n  3 -> 4 [size =\"23579648\"]\n  3 -> 6 [size =\"23579648\"]\n  4 [size=\"65863680\", alpha=\"0.12\", expect_size=\"19759104\"] \n  5 [size=\"44513280\", alpha=\"0.09\", expect_size=\"13353984\"] \n  5 -> 8 [size =\"13353984\"]\n  5 -> 9 [size =\"13353984\"]\n  5 -> 11 [size =\"13353984\"]\n  5 -> 12 [size =\"13353984\"]\n  6 [size=\"59074560\", alpha=\"0.11\", expect_size=\"17722368\"] \n  6 -> 9 [size =\"17722368\"]\n  6 -> 13 [size =\"17722368\"]\n  7 [size=\"158399147\", alpha=\"0.16\", expect_size=\"47519744\"] \n  7 -> 8 [size =\"47519744\"]\n  7 -> 10 [size =\"47519744\"]\n  7 -> 11 [size =\"47519744\"]\n  8 [size=\"61446827\", alpha=\"0.01\", expect_size=\"18434048\"] \n  8 -> 15 [size =\"18434048\"]\n  8 -> 16 [size =\"18434048\"]\n  8 -> 18 [size =\"18434048\"]\n  9 [size=\"132331520\", alpha=\"0.13\", expect_size=\"39699456\"] \n  9 -> 17 [size =\"39699456\"]\n  10 [size=\"137615360\", alpha=\"0.11\", expect_size=\"41284608\"] \n  10 -> 14 [size =\"41284608\"]\n  10 -> 16 [size =\"41284608\"]\n  10 -> 17 [size =\"41284608\"]\n  10 -> 18 [size =\"41284608\"]\n  11 [size=\"62931627\", alpha=\"0.11\", expect_size=\"18879488\"] \n  11 -> 14 [size =\"18879488\"]\n  11 -> 16 [size =\"18879488\"]\n  11 -> 17 [size =\"18879488\"]\n  12 [size=\"54118400\", alpha=\"0.15\", expect_size=\"16235520\"] \n  13 [size=\"25709227\", alpha=\"0.10\", expect_size=\"7712768\"] \n  13 -> 14 [size =\"7712768\"]\n  13 -> 15 [size =\"7712768\"]\n  13 -> 18 [size =\"7712768\"]\n  14 [size=\"77725013\", alpha=\"0.19\", expect_size=\"23317504\"] \n  14 -> 20 [size =\"23317504\"]\n  15 [size=\"173117440\", alpha=\"0.04\", expect_size=\"51935232\"] \n  16 [size=\"87057067\", alpha=\"0.19\", expect_size=\"26117120\"] \n  16 -> 19 [size =\"26117120\"]\n  16 -> 20 [size =\"26117120\"]\n  17 [size=\"172305067\", alpha=\"0.16\", expect_size=\"51691520\"] \n  17 -> 19 [size =\"51691520\"]\n  18 [size=\"137018027\", alpha=\"0.16\", expect_size=\"41105408\"] \n  19 [size=\"145534293\", alpha=\"0.11\", expect_size=\"43660288\"] \n  20 [size=\"89958400\", alpha=\"0.12\", expect_size=\"26987520\"] \n  20 -> 21 [size =\"26987520\"]\n  20 -> 22 [size =\"26987520\"]\n  20 -> 23 [size =\"26987520\"]\n  21 [size=\"173393920\", alpha=\"0.07\", expect_size=\"52018176\"] \n  21 -> 25 [size =\"52018176\"]\n  21 -> 26 [size =\"52018176\"]\n  21 -> 28 [size =\"52018176\"]\n  22 [size=\"100864000\", alpha=\"0.12\", expect_size=\"30259200\"] \n  22 -> 24 [size =\"30259200\"]\n  22 -> 27 [size =\"30259200\"]\n  23 [size=\"64815787\", alpha=\"0.04\", expect_size=\"19444736\"] \n  23 -> 26 [size =\"19444736\"]\n  23 -> 29 [size =\"19444736\"]\n  24 [size=\"141615787\", alpha=\"0.02\", expect_size=\"42484736\"] \n  25 [size=\"134519467\", alpha=\"0.04\", expect_size=\"40355840\"] \n  25 -> 30 [size =\"40355840\"]\n  26 [size=\"164287147\", alpha=\"0.11\", expect_size=\"49286144\"] \n  27 [size=\"155432960\", alpha=\"0.16\", expect_size=\"46629888\"] \n  27 -> 30 [size =\"46629888\"]\n  28 [size=\"122057387\", alpha=\"0.06\", expect_size=\"36617216\"] \n  28 -> 30 [size =\"36617216\"]\n  29 [size=\"87077547\", alpha=\"0.12\", expect_size=\"26123264\"] \n  30 [size=\"17841493\", alpha=\"0.12\", expect_size=\"5352448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55782400\", alpha=\"0.11\", expect_size=\"22312960\"] \n  1 -> 2 [size =\"22312960\"]\n  1 -> 3 [size =\"22312960\"]\n  2 [size=\"41008640\", alpha=\"0.17\", expect_size=\"16403456\"] \n  2 -> 4 [size =\"16403456\"]\n  3 [size=\"103083520\", alpha=\"0.19\", expect_size=\"41233408\"] \n  3 -> 5 [size =\"41233408\"]\n  4 [size=\"43207680\", alpha=\"0.14\", expect_size=\"17283072\"] \n  4 -> 6 [size =\"17283072\"]\n  5 [size=\"31938560\", alpha=\"0.13\", expect_size=\"12775424\"] \n  6 [size=\"55687680\", alpha=\"0.05\", expect_size=\"22275072\"] \n  6 -> 7 [size =\"22275072\"]\n  6 -> 8 [size =\"22275072\"]\n  7 [size=\"37785600\", alpha=\"0.15\", expect_size=\"15114240\"] \n  7 -> 9 [size =\"15114240\"]\n  8 [size=\"72545280\", alpha=\"0.13\", expect_size=\"29018112\"] \n  9 [size=\"118023680\", alpha=\"0.17\", expect_size=\"47209472\"] \n  9 -> 10 [size =\"47209472\"]\n  9 -> 11 [size =\"47209472\"]\n  10 [size=\"100618240\", alpha=\"0.06\", expect_size=\"40247296\"] \n  10 -> 12 [size =\"40247296\"]\n  10 -> 13 [size =\"40247296\"]\n  11 [size=\"22282240\", alpha=\"0.04\", expect_size=\"8912896\"] \n  11 -> 13 [size =\"8912896\"]\n  12 [size=\"84759040\", alpha=\"0.14\", expect_size=\"33903616\"] \n  12 -> 14 [size =\"33903616\"]\n  13 [size=\"66193920\", alpha=\"0.04\", expect_size=\"26477568\"] \n  13 -> 14 [size =\"26477568\"]\n  13 -> 15 [size =\"26477568\"]\n  14 [size=\"59031040\", alpha=\"0.14\", expect_size=\"23612416\"] \n  14 -> 16 [size =\"23612416\"]\n  15 [size=\"26227200\", alpha=\"0.08\", expect_size=\"10490880\"] \n  15 -> 16 [size =\"10490880\"]\n  16 [size=\"100587520\", alpha=\"0.15\", expect_size=\"40235008\"] \n  16 -> 17 [size =\"40235008\"]\n  17 [size=\"130511360\", alpha=\"0.06\", expect_size=\"52204544\"] \n  17 -> 18 [size =\"52204544\"]\n  18 [size=\"98188800\", alpha=\"0.17\", expect_size=\"39275520\"] \n  18 -> 19 [size =\"39275520\"]\n  19 [size=\"58094080\", alpha=\"0.11\", expect_size=\"23237632\"] \n  19 -> 20 [size =\"23237632\"]\n  19 -> 21 [size =\"23237632\"]\n  20 [size=\"42434560\", alpha=\"0.03\", expect_size=\"16973824\"] \n  20 -> 22 [size =\"16973824\"]\n  21 [size=\"79367680\", alpha=\"0.02\", expect_size=\"31747072\"] \n  22 [size=\"101795840\", alpha=\"0.06\", expect_size=\"40718336\"] \n  22 -> 23 [size =\"40718336\"]\n  23 [size=\"67916800\", alpha=\"0.05\", expect_size=\"27166720\"] \n  23 -> 24 [size =\"27166720\"]\n  24 [size=\"91481600\", alpha=\"0.09\", expect_size=\"36592640\"] \n  24 -> 25 [size =\"36592640\"]\n  24 -> 26 [size =\"36592640\"]\n  25 [size=\"54556160\", alpha=\"0.16\", expect_size=\"21822464\"] \n  25 -> 28 [size =\"21822464\"]\n  26 [size=\"103262720\", alpha=\"0.11\", expect_size=\"41305088\"] \n  26 -> 27 [size =\"41305088\"]\n  26 -> 28 [size =\"41305088\"]\n  27 [size=\"73996800\", alpha=\"0.09\", expect_size=\"29598720\"] \n  27 -> 29 [size =\"29598720\"]\n  28 [size=\"106718720\", alpha=\"0.18\", expect_size=\"42687488\"] \n  29 [size=\"88791040\", alpha=\"0.05\", expect_size=\"35516416\"] \n  29 -> 30 [size =\"35516416\"]\n  30 [size=\"37857280\", alpha=\"0.06\", expect_size=\"15142912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116062720\", alpha=\"0.13\", expect_size=\"46425088\"] \n  1 -> 14 [size =\"46425088\"]\n  1 -> 22 [size =\"46425088\"]\n  1 -> 23 [size =\"46425088\"]\n  2 [size=\"51788800\", alpha=\"0.19\", expect_size=\"20715520\"] \n  2 -> 14 [size =\"20715520\"]\n  2 -> 17 [size =\"20715520\"]\n  2 -> 21 [size =\"20715520\"]\n  2 -> 22 [size =\"20715520\"]\n  3 [size=\"54092800\", alpha=\"0.02\", expect_size=\"21637120\"] \n  3 -> 13 [size =\"21637120\"]\n  3 -> 16 [size =\"21637120\"]\n  3 -> 18 [size =\"21637120\"]\n  4 [size=\"111953920\", alpha=\"0.17\", expect_size=\"44781568\"] \n  4 -> 19 [size =\"44781568\"]\n  4 -> 20 [size =\"44781568\"]\n  5 [size=\"19870720\", alpha=\"0.07\", expect_size=\"7948288\"] \n  5 -> 15 [size =\"7948288\"]\n  5 -> 18 [size =\"7948288\"]\n  5 -> 19 [size =\"7948288\"]\n  5 -> 21 [size =\"7948288\"]\n  5 -> 23 [size =\"7948288\"]\n  6 [size=\"41615360\", alpha=\"0.19\", expect_size=\"16646144\"] \n  6 -> 13 [size =\"16646144\"]\n  6 -> 15 [size =\"16646144\"]\n  6 -> 18 [size =\"16646144\"]\n  7 [size=\"125711360\", alpha=\"0.15\", expect_size=\"50284544\"] \n  7 -> 17 [size =\"50284544\"]\n  7 -> 18 [size =\"50284544\"]\n  7 -> 18 [size =\"50284544\"]\n  7 -> 22 [size =\"50284544\"]\n  8 [size=\"34019840\", alpha=\"0.15\", expect_size=\"13607936\"] \n  8 -> 14 [size =\"13607936\"]\n  8 -> 15 [size =\"13607936\"]\n  8 -> 17 [size =\"13607936\"]\n  8 -> 22 [size =\"13607936\"]\n  8 -> 23 [size =\"13607936\"]\n  9 [size=\"28677120\", alpha=\"0.11\", expect_size=\"11470848\"] \n  9 -> 14 [size =\"11470848\"]\n  9 -> 16 [size =\"11470848\"]\n  9 -> 17 [size =\"11470848\"]\n  9 -> 23 [size =\"11470848\"]\n  10 [size=\"67535360\", alpha=\"0.03\", expect_size=\"27014144\"] \n  11 [size=\"127083520\", alpha=\"0.18\", expect_size=\"50833408\"] \n  11 -> 15 [size =\"50833408\"]\n  11 -> 16 [size =\"50833408\"]\n  11 -> 22 [size =\"50833408\"]\n  12 [size=\"84257280\", alpha=\"0.12\", expect_size=\"33702912\"] \n  12 -> 15 [size =\"33702912\"]\n  12 -> 23 [size =\"33702912\"]\n  13 [size=\"78586880\", alpha=\"0.02\", expect_size=\"31434752\"] \n  14 [size=\"91514880\", alpha=\"0.02\", expect_size=\"36605952\"] \n  14 -> 25 [size =\"36605952\"]\n  14 -> 26 [size =\"36605952\"]\n  14 -> 27 [size =\"36605952\"]\n  14 -> 28 [size =\"36605952\"]\n  15 [size=\"74757120\", alpha=\"0.03\", expect_size=\"29902848\"] \n  15 -> 27 [size =\"29902848\"]\n  15 -> 28 [size =\"29902848\"]\n  16 [size=\"118149120\", alpha=\"0.19\", expect_size=\"47259648\"] \n  16 -> 24 [size =\"47259648\"]\n  16 -> 30 [size =\"47259648\"]\n  17 [size=\"113978880\", alpha=\"0.04\", expect_size=\"45591552\"] \n  17 -> 25 [size =\"45591552\"]\n  17 -> 28 [size =\"45591552\"]\n  17 -> 30 [size =\"45591552\"]\n  18 [size=\"84764160\", alpha=\"0.13\", expect_size=\"33905664\"] \n  18 -> 25 [size =\"33905664\"]\n  18 -> 26 [size =\"33905664\"]\n  18 -> 27 [size =\"33905664\"]\n  18 -> 28 [size =\"33905664\"]\n  18 -> 30 [size =\"33905664\"]\n  19 [size=\"53903360\", alpha=\"0.16\", expect_size=\"21561344\"] \n  20 [size=\"117376000\", alpha=\"0.13\", expect_size=\"46950400\"] \n  20 -> 25 [size =\"46950400\"]\n  21 [size=\"16000000\", alpha=\"0.07\", expect_size=\"6400000\"] \n  22 [size=\"123307520\", alpha=\"0.08\", expect_size=\"49323008\"] \n  22 -> 26 [size =\"49323008\"]\n  22 -> 30 [size =\"49323008\"]\n  23 [size=\"77777920\", alpha=\"0.16\", expect_size=\"31111168\"] \n  23 -> 24 [size =\"31111168\"]\n  23 -> 25 [size =\"31111168\"]\n  23 -> 26 [size =\"31111168\"]\n  23 -> 29 [size =\"31111168\"]\n  23 -> 30 [size =\"31111168\"]\n  24 [size=\"88936960\", alpha=\"0.01\", expect_size=\"35574784\"] \n  25 [size=\"103032320\", alpha=\"0.07\", expect_size=\"41212928\"] \n  26 [size=\"123637760\", alpha=\"0.18\", expect_size=\"49455104\"] \n  27 [size=\"114936320\", alpha=\"0.08\", expect_size=\"45974528\"] \n  28 [size=\"19110400\", alpha=\"0.01\", expect_size=\"7644160\"] \n  29 [size=\"95070720\", alpha=\"0.17\", expect_size=\"38028288\"] \n  30 [size=\"69875200\", alpha=\"0.03\", expect_size=\"27950080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41867947\", alpha=\"0.11\", expect_size=\"12560384\"] \n  1 -> 2 [size =\"12560384\"]\n  2 [size=\"57941333\", alpha=\"0.04\", expect_size=\"17382400\"] \n  2 -> 3 [size =\"17382400\"]\n  3 [size=\"147479893\", alpha=\"0.19\", expect_size=\"44243968\"] \n  3 -> 4 [size =\"44243968\"]\n  4 [size=\"76994560\", alpha=\"0.09\", expect_size=\"23098368\"] \n  4 -> 5 [size =\"23098368\"]\n  5 [size=\"143117653\", alpha=\"0.02\", expect_size=\"42935296\"] \n  5 -> 6 [size =\"42935296\"]\n  6 [size=\"115722240\", alpha=\"0.10\", expect_size=\"34716672\"] \n  6 -> 7 [size =\"34716672\"]\n  7 [size=\"17957547\", alpha=\"0.01\", expect_size=\"5387264\"] \n  7 -> 8 [size =\"5387264\"]\n  8 [size=\"110493013\", alpha=\"0.14\", expect_size=\"33147904\"] \n  8 -> 9 [size =\"33147904\"]\n  9 [size=\"105762133\", alpha=\"0.12\", expect_size=\"31728640\"] \n  9 -> 10 [size =\"31728640\"]\n  10 [size=\"47421440\", alpha=\"0.08\", expect_size=\"14226432\"] \n  10 -> 11 [size =\"14226432\"]\n  11 [size=\"146824533\", alpha=\"0.12\", expect_size=\"44047360\"] \n  11 -> 12 [size =\"44047360\"]\n  12 [size=\"76823893\", alpha=\"0.17\", expect_size=\"23047168\"] \n  12 -> 13 [size =\"23047168\"]\n  13 [size=\"105977173\", alpha=\"0.02\", expect_size=\"31793152\"] \n  13 -> 14 [size =\"31793152\"]\n  14 [size=\"101550080\", alpha=\"0.18\", expect_size=\"30465024\"] \n  14 -> 15 [size =\"30465024\"]\n  15 [size=\"174226773\", alpha=\"0.16\", expect_size=\"52268032\"] \n  15 -> 16 [size =\"52268032\"]\n  16 [size=\"29446827\", alpha=\"0.03\", expect_size=\"8834048\"] \n  16 -> 17 [size =\"8834048\"]\n  17 [size=\"105714347\", alpha=\"0.13\", expect_size=\"31714304\"] \n  17 -> 18 [size =\"31714304\"]\n  18 [size=\"112745813\", alpha=\"0.13\", expect_size=\"33823744\"] \n  18 -> 19 [size =\"33823744\"]\n  19 [size=\"64515413\", alpha=\"0.06\", expect_size=\"19354624\"] \n  19 -> 20 [size =\"19354624\"]\n  20 [size=\"156706133\", alpha=\"0.08\", expect_size=\"47011840\"] \n  20 -> 21 [size =\"47011840\"]\n  21 [size=\"60323840\", alpha=\"0.14\", expect_size=\"18097152\"] \n  21 -> 22 [size =\"18097152\"]\n  22 [size=\"156467200\", alpha=\"0.05\", expect_size=\"46940160\"] \n  22 -> 23 [size =\"46940160\"]\n  23 [size=\"131553280\", alpha=\"0.12\", expect_size=\"39465984\"] \n  23 -> 24 [size =\"39465984\"]\n  24 [size=\"149439147\", alpha=\"0.07\", expect_size=\"44831744\"] \n  24 -> 25 [size =\"44831744\"]\n  25 [size=\"132549973\", alpha=\"0.17\", expect_size=\"39764992\"] \n  25 -> 26 [size =\"39764992\"]\n  26 [size=\"101072213\", alpha=\"0.01\", expect_size=\"30321664\"] \n  26 -> 27 [size =\"30321664\"]\n  27 [size=\"127645013\", alpha=\"0.04\", expect_size=\"38293504\"] \n  27 -> 28 [size =\"38293504\"]\n  28 [size=\"72304640\", alpha=\"0.19\", expect_size=\"21691392\"] \n  28 -> 29 [size =\"21691392\"]\n  29 [size=\"20186453\", alpha=\"0.05\", expect_size=\"6055936\"] \n  29 -> 30 [size =\"6055936\"]\n  30 [size=\"67266560\", alpha=\"0.16\", expect_size=\"20179968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85886293\", alpha=\"0.01\", expect_size=\"25765888\"] \n  1 -> 2 [size =\"25765888\"]\n  2 [size=\"41383253\", alpha=\"0.11\", expect_size=\"12414976\"] \n  2 -> 3 [size =\"12414976\"]\n  3 [size=\"44885333\", alpha=\"0.09\", expect_size=\"13465600\"] \n  3 -> 4 [size =\"13465600\"]\n  4 [size=\"151265280\", alpha=\"0.10\", expect_size=\"45379584\"] \n  4 -> 5 [size =\"45379584\"]\n  5 [size=\"34897920\", alpha=\"0.14\", expect_size=\"10469376\"] \n  5 -> 6 [size =\"10469376\"]\n  6 [size=\"165130240\", alpha=\"0.10\", expect_size=\"49539072\"] \n  6 -> 7 [size =\"49539072\"]\n  7 [size=\"75366400\", alpha=\"0.18\", expect_size=\"22609920\"] \n  7 -> 8 [size =\"22609920\"]\n  8 [size=\"116169387\", alpha=\"0.10\", expect_size=\"34850816\"] \n  8 -> 9 [size =\"34850816\"]\n  9 [size=\"154432853\", alpha=\"0.07\", expect_size=\"46329856\"] \n  9 -> 10 [size =\"46329856\"]\n  10 [size=\"89193813\", alpha=\"0.18\", expect_size=\"26758144\"] \n  10 -> 11 [size =\"26758144\"]\n  11 [size=\"136813227\", alpha=\"0.01\", expect_size=\"41043968\"] \n  11 -> 12 [size =\"41043968\"]\n  12 [size=\"146169173\", alpha=\"0.18\", expect_size=\"43850752\"] \n  12 -> 13 [size =\"43850752\"]\n  13 [size=\"78049280\", alpha=\"0.20\", expect_size=\"23414784\"] \n  13 -> 14 [size =\"23414784\"]\n  14 [size=\"149459627\", alpha=\"0.05\", expect_size=\"44837888\"] \n  14 -> 15 [size =\"44837888\"]\n  15 [size=\"66986667\", alpha=\"0.10\", expect_size=\"20096000\"] \n  15 -> 16 [size =\"20096000\"]\n  16 [size=\"21602987\", alpha=\"0.03\", expect_size=\"6480896\"] \n  16 -> 17 [size =\"6480896\"]\n  17 [size=\"99877547\", alpha=\"0.16\", expect_size=\"29963264\"] \n  17 -> 18 [size =\"29963264\"]\n  18 [size=\"84473173\", alpha=\"0.02\", expect_size=\"25341952\"] \n  18 -> 19 [size =\"25341952\"]\n  19 [size=\"160184320\", alpha=\"0.01\", expect_size=\"48055296\"] \n  19 -> 20 [size =\"48055296\"]\n  20 [size=\"59941547\", alpha=\"0.18\", expect_size=\"17982464\"] \n  20 -> 21 [size =\"17982464\"]\n  21 [size=\"41786027\", alpha=\"0.04\", expect_size=\"12535808\"] \n  21 -> 22 [size =\"12535808\"]\n  22 [size=\"50172587\", alpha=\"0.12\", expect_size=\"15051776\"] \n  22 -> 23 [size =\"15051776\"]\n  23 [size=\"30846293\", alpha=\"0.05\", expect_size=\"9253888\"] \n  23 -> 24 [size =\"9253888\"]\n  24 [size=\"26934613\", alpha=\"0.14\", expect_size=\"8080384\"] \n  24 -> 25 [size =\"8080384\"]\n  25 [size=\"68123307\", alpha=\"0.05\", expect_size=\"20436992\"] \n  25 -> 26 [size =\"20436992\"]\n  26 [size=\"145964373\", alpha=\"0.16\", expect_size=\"43789312\"] \n  26 -> 27 [size =\"43789312\"]\n  27 [size=\"166014293\", alpha=\"0.13\", expect_size=\"49804288\"] \n  27 -> 28 [size =\"49804288\"]\n  28 [size=\"131283627\", alpha=\"0.04\", expect_size=\"39385088\"] \n  28 -> 29 [size =\"39385088\"]\n  29 [size=\"148247893\", alpha=\"0.11\", expect_size=\"44474368\"] \n  29 -> 30 [size =\"44474368\"]\n  30 [size=\"154364587\", alpha=\"0.08\", expect_size=\"46309376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146353493\", alpha=\"0.07\", expect_size=\"43906048\"] \n  1 -> 28 [size =\"43906048\"]\n  1 -> 30 [size =\"43906048\"]\n  2 [size=\"168560640\", alpha=\"0.10\", expect_size=\"50568192\"] \n  2 -> 26 [size =\"50568192\"]\n  2 -> 27 [size =\"50568192\"]\n  2 -> 28 [size =\"50568192\"]\n  2 -> 29 [size =\"50568192\"]\n  3 [size=\"140724907\", alpha=\"0.11\", expect_size=\"42217472\"] \n  3 -> 28 [size =\"42217472\"]\n  4 [size=\"30027093\", alpha=\"0.07\", expect_size=\"9008128\"] \n  4 -> 27 [size =\"9008128\"]\n  4 -> 30 [size =\"9008128\"]\n  5 [size=\"65689600\", alpha=\"0.03\", expect_size=\"19706880\"] \n  5 -> 28 [size =\"19706880\"]\n  5 -> 29 [size =\"19706880\"]\n  5 -> 30 [size =\"19706880\"]\n  6 [size=\"88674987\", alpha=\"0.04\", expect_size=\"26602496\"] \n  6 -> 26 [size =\"26602496\"]\n  6 -> 29 [size =\"26602496\"]\n  6 -> 30 [size =\"26602496\"]\n  7 [size=\"158774613\", alpha=\"0.20\", expect_size=\"47632384\"] \n  7 -> 26 [size =\"47632384\"]\n  7 -> 27 [size =\"47632384\"]\n  7 -> 28 [size =\"47632384\"]\n  7 -> 30 [size =\"47632384\"]\n  8 [size=\"92822187\", alpha=\"0.17\", expect_size=\"27846656\"] \n  8 -> 26 [size =\"27846656\"]\n  8 -> 28 [size =\"27846656\"]\n  8 -> 30 [size =\"27846656\"]\n  9 [size=\"174363307\", alpha=\"0.14\", expect_size=\"52308992\"] \n  9 -> 26 [size =\"52308992\"]\n  9 -> 27 [size =\"52308992\"]\n  9 -> 30 [size =\"52308992\"]\n  10 [size=\"83882667\", alpha=\"0.11\", expect_size=\"25164800\"] \n  11 [size=\"96730453\", alpha=\"0.07\", expect_size=\"29019136\"] \n  11 -> 26 [size =\"29019136\"]\n  11 -> 27 [size =\"29019136\"]\n  11 -> 29 [size =\"29019136\"]\n  12 [size=\"155559253\", alpha=\"0.07\", expect_size=\"46667776\"] \n  12 -> 26 [size =\"46667776\"]\n  12 -> 29 [size =\"46667776\"]\n  13 [size=\"73038507\", alpha=\"0.04\", expect_size=\"21911552\"] \n  13 -> 26 [size =\"21911552\"]\n  14 [size=\"157702827\", alpha=\"0.09\", expect_size=\"47310848\"] \n  14 -> 26 [size =\"47310848\"]\n  15 [size=\"53329920\", alpha=\"0.05\", expect_size=\"15998976\"] \n  15 -> 29 [size =\"15998976\"]\n  16 [size=\"76243627\", alpha=\"0.13\", expect_size=\"22873088\"] \n  16 -> 27 [size =\"22873088\"]\n  16 -> 28 [size =\"22873088\"]\n  16 -> 29 [size =\"22873088\"]\n  16 -> 30 [size =\"22873088\"]\n  17 [size=\"111377067\", alpha=\"0.18\", expect_size=\"33413120\"] \n  17 -> 28 [size =\"33413120\"]\n  17 -> 29 [size =\"33413120\"]\n  17 -> 30 [size =\"33413120\"]\n  18 [size=\"108055893\", alpha=\"0.19\", expect_size=\"32416768\"] \n  18 -> 26 [size =\"32416768\"]\n  18 -> 28 [size =\"32416768\"]\n  18 -> 30 [size =\"32416768\"]\n  19 [size=\"81664000\", alpha=\"0.15\", expect_size=\"24499200\"] \n  19 -> 27 [size =\"24499200\"]\n  20 [size=\"34027520\", alpha=\"0.18\", expect_size=\"10208256\"] \n  20 -> 29 [size =\"10208256\"]\n  21 [size=\"121794560\", alpha=\"0.18\", expect_size=\"36538368\"] \n  21 -> 26 [size =\"36538368\"]\n  21 -> 29 [size =\"36538368\"]\n  22 [size=\"19544747\", alpha=\"0.16\", expect_size=\"5863424\"] \n  22 -> 26 [size =\"5863424\"]\n  22 -> 29 [size =\"5863424\"]\n  23 [size=\"73338880\", alpha=\"0.11\", expect_size=\"22001664\"] \n  23 -> 27 [size =\"22001664\"]\n  23 -> 28 [size =\"22001664\"]\n  23 -> 29 [size =\"22001664\"]\n  24 [size=\"104007680\", alpha=\"0.06\", expect_size=\"31202304\"] \n  24 -> 26 [size =\"31202304\"]\n  24 -> 29 [size =\"31202304\"]\n  25 [size=\"172858027\", alpha=\"0.08\", expect_size=\"51857408\"] \n  25 -> 26 [size =\"51857408\"]\n  25 -> 30 [size =\"51857408\"]\n  26 [size=\"54756693\", alpha=\"0.20\", expect_size=\"16427008\"] \n  27 [size=\"156334080\", alpha=\"0.09\", expect_size=\"46900224\"] \n  28 [size=\"143875413\", alpha=\"0.07\", expect_size=\"43162624\"] \n  29 [size=\"139141120\", alpha=\"0.06\", expect_size=\"41742336\"] \n  30 [size=\"102683307\", alpha=\"0.13\", expect_size=\"30804992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50114560\", alpha=\"0.20\", expect_size=\"25057280\"] \n  1 -> 2 [size =\"25057280\"]\n  2 [size=\"90832896\", alpha=\"0.05\", expect_size=\"45416448\"] \n  2 -> 3 [size =\"45416448\"]\n  3 [size=\"82360320\", alpha=\"0.16\", expect_size=\"41180160\"] \n  3 -> 4 [size =\"41180160\"]\n  4 [size=\"26112000\", alpha=\"0.18\", expect_size=\"13056000\"] \n  4 -> 5 [size =\"13056000\"]\n  5 [size=\"18059264\", alpha=\"0.17\", expect_size=\"9029632\"] \n  5 -> 6 [size =\"9029632\"]\n  6 [size=\"93820928\", alpha=\"0.17\", expect_size=\"46910464\"] \n  6 -> 7 [size =\"46910464\"]\n  7 [size=\"93503488\", alpha=\"0.09\", expect_size=\"46751744\"] \n  7 -> 8 [size =\"46751744\"]\n  8 [size=\"99293184\", alpha=\"0.07\", expect_size=\"49646592\"] \n  8 -> 9 [size =\"49646592\"]\n  9 [size=\"27846656\", alpha=\"0.13\", expect_size=\"13923328\"] \n  9 -> 10 [size =\"13923328\"]\n  10 [size=\"69623808\", alpha=\"0.11\", expect_size=\"34811904\"] \n  10 -> 11 [size =\"34811904\"]\n  11 [size=\"30029824\", alpha=\"0.11\", expect_size=\"15014912\"] \n  11 -> 12 [size =\"15014912\"]\n  12 [size=\"29476864\", alpha=\"0.10\", expect_size=\"14738432\"] \n  12 -> 13 [size =\"14738432\"]\n  13 [size=\"52436992\", alpha=\"0.13\", expect_size=\"26218496\"] \n  13 -> 14 [size =\"26218496\"]\n  14 [size=\"35188736\", alpha=\"0.07\", expect_size=\"17594368\"] \n  14 -> 15 [size =\"17594368\"]\n  15 [size=\"24317952\", alpha=\"0.02\", expect_size=\"12158976\"] \n  15 -> 16 [size =\"12158976\"]\n  16 [size=\"103337984\", alpha=\"0.12\", expect_size=\"51668992\"] \n  16 -> 17 [size =\"51668992\"]\n  17 [size=\"90259456\", alpha=\"0.19\", expect_size=\"45129728\"] \n  17 -> 18 [size =\"45129728\"]\n  18 [size=\"36173824\", alpha=\"0.13\", expect_size=\"18086912\"] \n  18 -> 19 [size =\"18086912\"]\n  19 [size=\"67665920\", alpha=\"0.18\", expect_size=\"33832960\"] \n  19 -> 20 [size =\"33832960\"]\n  20 [size=\"34779136\", alpha=\"0.17\", expect_size=\"17389568\"] \n  20 -> 21 [size =\"17389568\"]\n  21 [size=\"88225792\", alpha=\"0.05\", expect_size=\"44112896\"] \n  21 -> 22 [size =\"44112896\"]\n  22 [size=\"47214592\", alpha=\"0.10\", expect_size=\"23607296\"] \n  22 -> 23 [size =\"23607296\"]\n  23 [size=\"94840832\", alpha=\"0.10\", expect_size=\"47420416\"] \n  23 -> 24 [size =\"47420416\"]\n  24 [size=\"63471616\", alpha=\"0.13\", expect_size=\"31735808\"] \n  24 -> 25 [size =\"31735808\"]\n  25 [size=\"97849344\", alpha=\"0.18\", expect_size=\"48924672\"] \n  25 -> 26 [size =\"48924672\"]\n  26 [size=\"14790656\", alpha=\"0.01\", expect_size=\"7395328\"] \n  26 -> 27 [size =\"7395328\"]\n  27 [size=\"73525248\", alpha=\"0.01\", expect_size=\"36762624\"] \n  27 -> 28 [size =\"36762624\"]\n  28 [size=\"66662400\", alpha=\"0.20\", expect_size=\"33331200\"] \n  28 -> 29 [size =\"33331200\"]\n  29 [size=\"32555008\", alpha=\"0.02\", expect_size=\"16277504\"] \n  29 -> 30 [size =\"16277504\"]\n  30 [size=\"21743616\", alpha=\"0.18\", expect_size=\"10871808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124934827\", alpha=\"0.16\", expect_size=\"37480448\"] \n  1 -> 3 [size =\"37480448\"]\n  2 [size=\"89507840\", alpha=\"0.05\", expect_size=\"26852352\"] \n  3 [size=\"147995307\", alpha=\"0.01\", expect_size=\"44398592\"] \n  3 -> 4 [size =\"44398592\"]\n  4 [size=\"122781013\", alpha=\"0.17\", expect_size=\"36834304\"] \n  4 -> 5 [size =\"36834304\"]\n  5 [size=\"159330987\", alpha=\"0.19\", expect_size=\"47799296\"] \n  5 -> 6 [size =\"47799296\"]\n  5 -> 7 [size =\"47799296\"]\n  6 [size=\"97713493\", alpha=\"0.17\", expect_size=\"29314048\"] \n  6 -> 8 [size =\"29314048\"]\n  6 -> 9 [size =\"29314048\"]\n  7 [size=\"121821867\", alpha=\"0.01\", expect_size=\"36546560\"] \n  8 [size=\"54763520\", alpha=\"0.18\", expect_size=\"16429056\"] \n  8 -> 11 [size =\"16429056\"]\n  9 [size=\"61153280\", alpha=\"0.01\", expect_size=\"18345984\"] \n  9 -> 10 [size =\"18345984\"]\n  10 [size=\"119166293\", alpha=\"0.14\", expect_size=\"35749888\"] \n  10 -> 12 [size =\"35749888\"]\n  11 [size=\"98252800\", alpha=\"0.14\", expect_size=\"29475840\"] \n  12 [size=\"64587093\", alpha=\"0.13\", expect_size=\"19376128\"] \n  12 -> 13 [size =\"19376128\"]\n  13 [size=\"103072427\", alpha=\"0.05\", expect_size=\"30921728\"] \n  13 -> 14 [size =\"30921728\"]\n  14 [size=\"112800427\", alpha=\"0.17\", expect_size=\"33840128\"] \n  14 -> 15 [size =\"33840128\"]\n  14 -> 16 [size =\"33840128\"]\n  15 [size=\"90043733\", alpha=\"0.10\", expect_size=\"27013120\"] \n  15 -> 17 [size =\"27013120\"]\n  16 [size=\"78499840\", alpha=\"0.19\", expect_size=\"23549952\"] \n  17 [size=\"56726187\", alpha=\"0.09\", expect_size=\"17017856\"] \n  17 -> 18 [size =\"17017856\"]\n  17 -> 19 [size =\"17017856\"]\n  18 [size=\"64863573\", alpha=\"0.03\", expect_size=\"19459072\"] \n  19 [size=\"48814080\", alpha=\"0.13\", expect_size=\"14644224\"] \n  19 -> 20 [size =\"14644224\"]\n  20 [size=\"56019627\", alpha=\"0.12\", expect_size=\"16805888\"] \n  20 -> 21 [size =\"16805888\"]\n  20 -> 22 [size =\"16805888\"]\n  21 [size=\"168168107\", alpha=\"0.06\", expect_size=\"50450432\"] \n  21 -> 23 [size =\"50450432\"]\n  22 [size=\"121320107\", alpha=\"0.08\", expect_size=\"36396032\"] \n  23 [size=\"68840107\", alpha=\"0.07\", expect_size=\"20652032\"] \n  23 -> 24 [size =\"20652032\"]\n  24 [size=\"107001173\", alpha=\"0.20\", expect_size=\"32100352\"] \n  24 -> 25 [size =\"32100352\"]\n  24 -> 26 [size =\"32100352\"]\n  25 [size=\"83633493\", alpha=\"0.10\", expect_size=\"25090048\"] \n  25 -> 27 [size =\"25090048\"]\n  25 -> 28 [size =\"25090048\"]\n  26 [size=\"160529067\", alpha=\"0.11\", expect_size=\"48158720\"] \n  26 -> 27 [size =\"48158720\"]\n  27 [size=\"155572907\", alpha=\"0.05\", expect_size=\"46671872\"] \n  27 -> 29 [size =\"46671872\"]\n  27 -> 30 [size =\"46671872\"]\n  28 [size=\"69307733\", alpha=\"0.04\", expect_size=\"20792320\"] \n  28 -> 30 [size =\"20792320\"]\n  29 [size=\"94378667\", alpha=\"0.08\", expect_size=\"28313600\"] \n  30 [size=\"37304320\", alpha=\"0.05\", expect_size=\"11191296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73058304\", alpha=\"0.12\", expect_size=\"36529152\"] \n  1 -> 3 [size =\"36529152\"]\n  1 -> 4 [size =\"36529152\"]\n  1 -> 5 [size =\"36529152\"]\n  1 -> 6 [size =\"36529152\"]\n  1 -> 7 [size =\"36529152\"]\n  2 [size=\"92272640\", alpha=\"0.11\", expect_size=\"46136320\"] \n  2 -> 3 [size =\"46136320\"]\n  2 -> 4 [size =\"46136320\"]\n  2 -> 5 [size =\"46136320\"]\n  2 -> 7 [size =\"46136320\"]\n  3 [size=\"25313280\", alpha=\"0.05\", expect_size=\"12656640\"] \n  3 -> 8 [size =\"12656640\"]\n  4 [size=\"17735680\", alpha=\"0.11\", expect_size=\"8867840\"] \n  4 -> 8 [size =\"8867840\"]\n  4 -> 10 [size =\"8867840\"]\n  4 -> 12 [size =\"8867840\"]\n  5 [size=\"63811584\", alpha=\"0.17\", expect_size=\"31905792\"] \n  5 -> 10 [size =\"31905792\"]\n  5 -> 11 [size =\"31905792\"]\n  6 [size=\"68149248\", alpha=\"0.14\", expect_size=\"34074624\"] \n  6 -> 9 [size =\"34074624\"]\n  6 -> 10 [size =\"34074624\"]\n  6 -> 12 [size =\"34074624\"]\n  7 [size=\"99112960\", alpha=\"0.05\", expect_size=\"49556480\"] \n  7 -> 8 [size =\"49556480\"]\n  7 -> 12 [size =\"49556480\"]\n  8 [size=\"56324096\", alpha=\"0.06\", expect_size=\"28162048\"] \n  8 -> 13 [size =\"28162048\"]\n  8 -> 14 [size =\"28162048\"]\n  8 -> 15 [size =\"28162048\"]\n  8 -> 16 [size =\"28162048\"]\n  8 -> 18 [size =\"28162048\"]\n  9 [size=\"44699648\", alpha=\"0.18\", expect_size=\"22349824\"] \n  9 -> 13 [size =\"22349824\"]\n  9 -> 14 [size =\"22349824\"]\n  9 -> 15 [size =\"22349824\"]\n  9 -> 16 [size =\"22349824\"]\n  9 -> 18 [size =\"22349824\"]\n  10 [size=\"10500096\", alpha=\"0.17\", expect_size=\"5250048\"] \n  10 -> 13 [size =\"5250048\"]\n  10 -> 14 [size =\"5250048\"]\n  10 -> 15 [size =\"5250048\"]\n  10 -> 16 [size =\"5250048\"]\n  10 -> 17 [size =\"5250048\"]\n  10 -> 18 [size =\"5250048\"]\n  11 [size=\"84887552\", alpha=\"0.02\", expect_size=\"42443776\"] \n  11 -> 13 [size =\"42443776\"]\n  11 -> 14 [size =\"42443776\"]\n  11 -> 15 [size =\"42443776\"]\n  12 [size=\"49004544\", alpha=\"0.04\", expect_size=\"24502272\"] \n  12 -> 13 [size =\"24502272\"]\n  12 -> 14 [size =\"24502272\"]\n  12 -> 15 [size =\"24502272\"]\n  12 -> 16 [size =\"24502272\"]\n  13 [size=\"101386240\", alpha=\"0.07\", expect_size=\"50693120\"] \n  13 -> 19 [size =\"50693120\"]\n  14 [size=\"31627264\", alpha=\"0.02\", expect_size=\"15813632\"] \n  14 -> 19 [size =\"15813632\"]\n  14 -> 20 [size =\"15813632\"]\n  14 -> 21 [size =\"15813632\"]\n  14 -> 22 [size =\"15813632\"]\n  14 -> 24 [size =\"15813632\"]\n  15 [size=\"82954240\", alpha=\"0.16\", expect_size=\"41477120\"] \n  15 -> 19 [size =\"41477120\"]\n  15 -> 20 [size =\"41477120\"]\n  15 -> 21 [size =\"41477120\"]\n  15 -> 22 [size =\"41477120\"]\n  15 -> 24 [size =\"41477120\"]\n  16 [size=\"67792896\", alpha=\"0.10\", expect_size=\"33896448\"] \n  16 -> 21 [size =\"33896448\"]\n  16 -> 22 [size =\"33896448\"]\n  16 -> 25 [size =\"33896448\"]\n  17 [size=\"40808448\", alpha=\"0.05\", expect_size=\"20404224\"] \n  17 -> 19 [size =\"20404224\"]\n  17 -> 20 [size =\"20404224\"]\n  17 -> 21 [size =\"20404224\"]\n  17 -> 23 [size =\"20404224\"]\n  17 -> 24 [size =\"20404224\"]\n  17 -> 25 [size =\"20404224\"]\n  18 [size=\"65931264\", alpha=\"0.10\", expect_size=\"32965632\"] \n  18 -> 19 [size =\"32965632\"]\n  18 -> 21 [size =\"32965632\"]\n  18 -> 24 [size =\"32965632\"]\n  19 [size=\"95911936\", alpha=\"0.16\", expect_size=\"47955968\"] \n  19 -> 27 [size =\"47955968\"]\n  19 -> 28 [size =\"47955968\"]\n  19 -> 29 [size =\"47955968\"]\n  19 -> 30 [size =\"47955968\"]\n  20 [size=\"84647936\", alpha=\"0.16\", expect_size=\"42323968\"] \n  20 -> 26 [size =\"42323968\"]\n  20 -> 28 [size =\"42323968\"]\n  20 -> 29 [size =\"42323968\"]\n  20 -> 30 [size =\"42323968\"]\n  21 [size=\"71657472\", alpha=\"0.09\", expect_size=\"35828736\"] \n  21 -> 28 [size =\"35828736\"]\n  21 -> 30 [size =\"35828736\"]\n  22 [size=\"82245632\", alpha=\"0.00\", expect_size=\"41122816\"] \n  22 -> 28 [size =\"41122816\"]\n  22 -> 29 [size =\"41122816\"]\n  23 [size=\"102316032\", alpha=\"0.14\", expect_size=\"51158016\"] \n  23 -> 27 [size =\"51158016\"]\n  23 -> 28 [size =\"51158016\"]\n  23 -> 29 [size =\"51158016\"]\n  24 [size=\"42520576\", alpha=\"0.09\", expect_size=\"21260288\"] \n  24 -> 29 [size =\"21260288\"]\n  25 [size=\"52897792\", alpha=\"0.16\", expect_size=\"26448896\"] \n  25 -> 27 [size =\"26448896\"]\n  25 -> 28 [size =\"26448896\"]\n  25 -> 29 [size =\"26448896\"]\n  25 -> 30 [size =\"26448896\"]\n  26 [size=\"35395584\", alpha=\"0.15\", expect_size=\"17697792\"] \n  27 [size=\"84727808\", alpha=\"0.12\", expect_size=\"42363904\"] \n  28 [size=\"13563904\", alpha=\"0.19\", expect_size=\"6781952\"] \n  29 [size=\"62310400\", alpha=\"0.14\", expect_size=\"31155200\"] \n  30 [size=\"43606016\", alpha=\"0.09\", expect_size=\"21803008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113492480\", alpha=\"0.08\", expect_size=\"45396992\"] \n  1 -> 11 [size =\"45396992\"]\n  1 -> 15 [size =\"45396992\"]\n  1 -> 18 [size =\"45396992\"]\n  2 [size=\"112360960\", alpha=\"0.01\", expect_size=\"44944384\"] \n  2 -> 16 [size =\"44944384\"]\n  2 -> 18 [size =\"44944384\"]\n  2 -> 19 [size =\"44944384\"]\n  3 [size=\"86382080\", alpha=\"0.09\", expect_size=\"34552832\"] \n  3 -> 14 [size =\"34552832\"]\n  3 -> 15 [size =\"34552832\"]\n  3 -> 16 [size =\"34552832\"]\n  3 -> 18 [size =\"34552832\"]\n  3 -> 19 [size =\"34552832\"]\n  4 [size=\"43699200\", alpha=\"0.20\", expect_size=\"17479680\"] \n  4 -> 12 [size =\"17479680\"]\n  4 -> 13 [size =\"17479680\"]\n  4 -> 16 [size =\"17479680\"]\n  5 [size=\"25989120\", alpha=\"0.09\", expect_size=\"10395648\"] \n  5 -> 13 [size =\"10395648\"]\n  5 -> 14 [size =\"10395648\"]\n  5 -> 18 [size =\"10395648\"]\n  5 -> 19 [size =\"10395648\"]\n  6 [size=\"16773120\", alpha=\"0.04\", expect_size=\"6709248\"] \n  6 -> 12 [size =\"6709248\"]\n  6 -> 14 [size =\"6709248\"]\n  6 -> 17 [size =\"6709248\"]\n  6 -> 19 [size =\"6709248\"]\n  7 [size=\"26923520\", alpha=\"0.18\", expect_size=\"10769408\"] \n  7 -> 11 [size =\"10769408\"]\n  7 -> 13 [size =\"10769408\"]\n  7 -> 16 [size =\"10769408\"]\n  7 -> 17 [size =\"10769408\"]\n  7 -> 18 [size =\"10769408\"]\n  8 [size=\"35002880\", alpha=\"0.08\", expect_size=\"14001152\"] \n  8 -> 12 [size =\"14001152\"]\n  8 -> 13 [size =\"14001152\"]\n  8 -> 16 [size =\"14001152\"]\n  8 -> 19 [size =\"14001152\"]\n  9 [size=\"67371520\", alpha=\"0.12\", expect_size=\"26948608\"] \n  9 -> 19 [size =\"26948608\"]\n  10 [size=\"35755520\", alpha=\"0.17\", expect_size=\"14302208\"] \n  10 -> 11 [size =\"14302208\"]\n  10 -> 14 [size =\"14302208\"]\n  10 -> 15 [size =\"14302208\"]\n  10 -> 18 [size =\"14302208\"]\n  11 [size=\"18946560\", alpha=\"0.01\", expect_size=\"7578624\"] \n  11 -> 23 [size =\"7578624\"]\n  11 -> 28 [size =\"7578624\"]\n  12 [size=\"64450560\", alpha=\"0.16\", expect_size=\"25780224\"] \n  12 -> 21 [size =\"25780224\"]\n  12 -> 25 [size =\"25780224\"]\n  12 -> 27 [size =\"25780224\"]\n  12 -> 28 [size =\"25780224\"]\n  13 [size=\"68784640\", alpha=\"0.14\", expect_size=\"27513856\"] \n  13 -> 20 [size =\"27513856\"]\n  13 -> 21 [size =\"27513856\"]\n  13 -> 22 [size =\"27513856\"]\n  13 -> 23 [size =\"27513856\"]\n  13 -> 24 [size =\"27513856\"]\n  13 -> 26 [size =\"27513856\"]\n  13 -> 28 [size =\"27513856\"]\n  14 [size=\"123115520\", alpha=\"0.19\", expect_size=\"49246208\"] \n  14 -> 20 [size =\"49246208\"]\n  14 -> 22 [size =\"49246208\"]\n  14 -> 23 [size =\"49246208\"]\n  14 -> 24 [size =\"49246208\"]\n  14 -> 28 [size =\"49246208\"]\n  15 [size=\"122764800\", alpha=\"0.10\", expect_size=\"49105920\"] \n  15 -> 22 [size =\"49105920\"]\n  15 -> 23 [size =\"49105920\"]\n  15 -> 24 [size =\"49105920\"]\n  15 -> 24 [size =\"49105920\"]\n  15 -> 27 [size =\"49105920\"]\n  16 [size=\"58193920\", alpha=\"0.20\", expect_size=\"23277568\"] \n  16 -> 22 [size =\"23277568\"]\n  16 -> 24 [size =\"23277568\"]\n  16 -> 28 [size =\"23277568\"]\n  17 [size=\"84247040\", alpha=\"0.09\", expect_size=\"33698816\"] \n  17 -> 21 [size =\"33698816\"]\n  17 -> 22 [size =\"33698816\"]\n  17 -> 23 [size =\"33698816\"]\n  17 -> 25 [size =\"33698816\"]\n  17 -> 28 [size =\"33698816\"]\n  18 [size=\"72442880\", alpha=\"0.13\", expect_size=\"28977152\"] \n  18 -> 20 [size =\"28977152\"]\n  18 -> 23 [size =\"28977152\"]\n  18 -> 27 [size =\"28977152\"]\n  19 [size=\"117109760\", alpha=\"0.02\", expect_size=\"46843904\"] \n  19 -> 24 [size =\"46843904\"]\n  19 -> 25 [size =\"46843904\"]\n  20 [size=\"69555200\", alpha=\"0.19\", expect_size=\"27822080\"] \n  20 -> 29 [size =\"27822080\"]\n  20 -> 30 [size =\"27822080\"]\n  21 [size=\"50700800\", alpha=\"0.12\", expect_size=\"20280320\"] \n  22 [size=\"59028480\", alpha=\"0.03\", expect_size=\"23611392\"] \n  23 [size=\"35681280\", alpha=\"0.06\", expect_size=\"14272512\"] \n  23 -> 30 [size =\"14272512\"]\n  24 [size=\"116119040\", alpha=\"0.14\", expect_size=\"46447616\"] \n  24 -> 30 [size =\"46447616\"]\n  25 [size=\"107525120\", alpha=\"0.05\", expect_size=\"43010048\"] \n  25 -> 30 [size =\"43010048\"]\n  26 [size=\"48688640\", alpha=\"0.16\", expect_size=\"19475456\"] \n  26 -> 29 [size =\"19475456\"]\n  26 -> 30 [size =\"19475456\"]\n  27 [size=\"47203840\", alpha=\"0.09\", expect_size=\"18881536\"] \n  27 -> 29 [size =\"18881536\"]\n  28 [size=\"99868160\", alpha=\"0.06\", expect_size=\"39947264\"] \n  29 [size=\"56885760\", alpha=\"0.13\", expect_size=\"22754304\"] \n  30 [size=\"66946560\", alpha=\"0.03\", expect_size=\"26778624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38732800\", alpha=\"0.06\", expect_size=\"15493120\"] \n  1 -> 2 [size =\"15493120\"]\n  2 [size=\"39083520\", alpha=\"0.20\", expect_size=\"15633408\"] \n  2 -> 3 [size =\"15633408\"]\n  3 [size=\"65505280\", alpha=\"0.18\", expect_size=\"26202112\"] \n  3 -> 4 [size =\"26202112\"]\n  4 [size=\"65809920\", alpha=\"0.09\", expect_size=\"26323968\"] \n  4 -> 5 [size =\"26323968\"]\n  5 [size=\"71290880\", alpha=\"0.05\", expect_size=\"28516352\"] \n  5 -> 6 [size =\"28516352\"]\n  6 [size=\"72668160\", alpha=\"0.18\", expect_size=\"29067264\"] \n  6 -> 7 [size =\"29067264\"]\n  7 [size=\"51402240\", alpha=\"0.12\", expect_size=\"20560896\"] \n  7 -> 8 [size =\"20560896\"]\n  8 [size=\"87667200\", alpha=\"0.14\", expect_size=\"35066880\"] \n  8 -> 9 [size =\"35066880\"]\n  9 [size=\"122053120\", alpha=\"0.02\", expect_size=\"48821248\"] \n  9 -> 10 [size =\"48821248\"]\n  10 [size=\"24524800\", alpha=\"0.12\", expect_size=\"9809920\"] \n  10 -> 11 [size =\"9809920\"]\n  11 [size=\"17267200\", alpha=\"0.15\", expect_size=\"6906880\"] \n  11 -> 12 [size =\"6906880\"]\n  12 [size=\"53923840\", alpha=\"0.14\", expect_size=\"21569536\"] \n  12 -> 13 [size =\"21569536\"]\n  13 [size=\"51123200\", alpha=\"0.05\", expect_size=\"20449280\"] \n  13 -> 14 [size =\"20449280\"]\n  14 [size=\"40803840\", alpha=\"0.12\", expect_size=\"16321536\"] \n  14 -> 15 [size =\"16321536\"]\n  15 [size=\"91911680\", alpha=\"0.17\", expect_size=\"36764672\"] \n  15 -> 16 [size =\"36764672\"]\n  16 [size=\"122603520\", alpha=\"0.20\", expect_size=\"49041408\"] \n  16 -> 17 [size =\"49041408\"]\n  17 [size=\"107898880\", alpha=\"0.17\", expect_size=\"43159552\"] \n  17 -> 18 [size =\"43159552\"]\n  18 [size=\"60856320\", alpha=\"0.12\", expect_size=\"24342528\"] \n  18 -> 19 [size =\"24342528\"]\n  19 [size=\"24220160\", alpha=\"0.06\", expect_size=\"9688064\"] \n  19 -> 20 [size =\"9688064\"]\n  20 [size=\"37352960\", alpha=\"0.04\", expect_size=\"14941184\"] \n  20 -> 21 [size =\"14941184\"]\n  21 [size=\"105940480\", alpha=\"0.06\", expect_size=\"42376192\"] \n  21 -> 22 [size =\"42376192\"]\n  22 [size=\"78832640\", alpha=\"0.13\", expect_size=\"31533056\"] \n  22 -> 23 [size =\"31533056\"]\n  23 [size=\"41866240\", alpha=\"0.09\", expect_size=\"16746496\"] \n  23 -> 24 [size =\"16746496\"]\n  24 [size=\"70359040\", alpha=\"0.13\", expect_size=\"28143616\"] \n  24 -> 25 [size =\"28143616\"]\n  25 [size=\"24517120\", alpha=\"0.08\", expect_size=\"9806848\"] \n  25 -> 26 [size =\"9806848\"]\n  26 [size=\"122897920\", alpha=\"0.12\", expect_size=\"49159168\"] \n  26 -> 27 [size =\"49159168\"]\n  27 [size=\"121507840\", alpha=\"0.03\", expect_size=\"48603136\"] \n  27 -> 28 [size =\"48603136\"]\n  28 [size=\"101621760\", alpha=\"0.07\", expect_size=\"40648704\"] \n  28 -> 29 [size =\"40648704\"]\n  29 [size=\"53009920\", alpha=\"0.09\", expect_size=\"21203968\"] \n  29 -> 30 [size =\"21203968\"]\n  30 [size=\"89960960\", alpha=\"0.13\", expect_size=\"35984384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111685120\", alpha=\"0.03\", expect_size=\"44674048\"] \n  1 -> 3 [size =\"44674048\"]\n  1 -> 4 [size =\"44674048\"]\n  2 [size=\"110497280\", alpha=\"0.14\", expect_size=\"44198912\"] \n  2 -> 3 [size =\"44198912\"]\n  3 [size=\"113976320\", alpha=\"0.02\", expect_size=\"45590528\"] \n  3 -> 6 [size =\"45590528\"]\n  4 [size=\"103370240\", alpha=\"0.11\", expect_size=\"41348096\"] \n  4 -> 5 [size =\"41348096\"]\n  5 [size=\"51320320\", alpha=\"0.06\", expect_size=\"20528128\"] \n  5 -> 7 [size =\"20528128\"]\n  6 [size=\"33379840\", alpha=\"0.00\", expect_size=\"13351936\"] \n  7 [size=\"112560640\", alpha=\"0.19\", expect_size=\"45024256\"] \n  7 -> 8 [size =\"45024256\"]\n  7 -> 9 [size =\"45024256\"]\n  8 [size=\"93849600\", alpha=\"0.11\", expect_size=\"37539840\"] \n  8 -> 10 [size =\"37539840\"]\n  9 [size=\"117706240\", alpha=\"0.19\", expect_size=\"47082496\"] \n  9 -> 10 [size =\"47082496\"]\n  9 -> 11 [size =\"47082496\"]\n  10 [size=\"85473280\", alpha=\"0.18\", expect_size=\"34189312\"] \n  10 -> 12 [size =\"34189312\"]\n  11 [size=\"38328320\", alpha=\"0.05\", expect_size=\"15331328\"] \n  11 -> 13 [size =\"15331328\"]\n  12 [size=\"53422080\", alpha=\"0.05\", expect_size=\"21368832\"] \n  12 -> 15 [size =\"21368832\"]\n  13 [size=\"17728000\", alpha=\"0.08\", expect_size=\"7091200\"] \n  13 -> 14 [size =\"7091200\"]\n  13 -> 15 [size =\"7091200\"]\n  14 [size=\"29962240\", alpha=\"0.01\", expect_size=\"11984896\"] \n  14 -> 16 [size =\"11984896\"]\n  14 -> 17 [size =\"11984896\"]\n  15 [size=\"97303040\", alpha=\"0.12\", expect_size=\"38921216\"] \n  15 -> 17 [size =\"38921216\"]\n  16 [size=\"130954240\", alpha=\"0.14\", expect_size=\"52381696\"] \n  17 [size=\"13224960\", alpha=\"0.07\", expect_size=\"5289984\"] \n  17 -> 18 [size =\"5289984\"]\n  18 [size=\"122992640\", alpha=\"0.05\", expect_size=\"49197056\"] \n  18 -> 19 [size =\"49197056\"]\n  18 -> 20 [size =\"49197056\"]\n  19 [size=\"71920640\", alpha=\"0.08\", expect_size=\"28768256\"] \n  20 [size=\"63144960\", alpha=\"0.19\", expect_size=\"25257984\"] \n  20 -> 21 [size =\"25257984\"]\n  21 [size=\"50501120\", alpha=\"0.07\", expect_size=\"20200448\"] \n  21 -> 22 [size =\"20200448\"]\n  22 [size=\"78973440\", alpha=\"0.12\", expect_size=\"31589376\"] \n  22 -> 23 [size =\"31589376\"]\n  23 [size=\"109258240\", alpha=\"0.13\", expect_size=\"43703296\"] \n  23 -> 24 [size =\"43703296\"]\n  23 -> 25 [size =\"43703296\"]\n  24 [size=\"37560320\", alpha=\"0.10\", expect_size=\"15024128\"] \n  25 [size=\"40744960\", alpha=\"0.13\", expect_size=\"16297984\"] \n  25 -> 26 [size =\"16297984\"]\n  26 [size=\"112547840\", alpha=\"0.20\", expect_size=\"45019136\"] \n  26 -> 27 [size =\"45019136\"]\n  26 -> 28 [size =\"45019136\"]\n  27 [size=\"75512320\", alpha=\"0.04\", expect_size=\"30204928\"] \n  27 -> 29 [size =\"30204928\"]\n  27 -> 30 [size =\"30204928\"]\n  28 [size=\"119032320\", alpha=\"0.01\", expect_size=\"47612928\"] \n  29 [size=\"31178240\", alpha=\"0.16\", expect_size=\"12471296\"] \n  30 [size=\"78589440\", alpha=\"0.03\", expect_size=\"31435776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19442347\", alpha=\"0.17\", expect_size=\"5832704\"] \n  1 -> 9 [size =\"5832704\"]\n  1 -> 10 [size =\"5832704\"]\n  2 [size=\"119463253\", alpha=\"0.01\", expect_size=\"35838976\"] \n  2 -> 6 [size =\"35838976\"]\n  2 -> 8 [size =\"35838976\"]\n  2 -> 9 [size =\"35838976\"]\n  2 -> 10 [size =\"35838976\"]\n  3 [size=\"88872960\", alpha=\"0.17\", expect_size=\"26661888\"] \n  3 -> 7 [size =\"26661888\"]\n  3 -> 9 [size =\"26661888\"]\n  3 -> 10 [size =\"26661888\"]\n  4 [size=\"67959467\", alpha=\"0.14\", expect_size=\"20387840\"] \n  4 -> 7 [size =\"20387840\"]\n  4 -> 10 [size =\"20387840\"]\n  5 [size=\"121487360\", alpha=\"0.08\", expect_size=\"36446208\"] \n  5 -> 6 [size =\"36446208\"]\n  5 -> 10 [size =\"36446208\"]\n  6 [size=\"160344747\", alpha=\"0.06\", expect_size=\"48103424\"] \n  6 -> 12 [size =\"48103424\"]\n  6 -> 13 [size =\"48103424\"]\n  6 -> 14 [size =\"48103424\"]\n  7 [size=\"29962240\", alpha=\"0.13\", expect_size=\"8988672\"] \n  7 -> 12 [size =\"8988672\"]\n  7 -> 13 [size =\"8988672\"]\n  7 -> 14 [size =\"8988672\"]\n  8 [size=\"143732053\", alpha=\"0.11\", expect_size=\"43119616\"] \n  8 -> 13 [size =\"43119616\"]\n  9 [size=\"90374827\", alpha=\"0.20\", expect_size=\"27112448\"] \n  9 -> 11 [size =\"27112448\"]\n  9 -> 12 [size =\"27112448\"]\n  9 -> 13 [size =\"27112448\"]\n  10 [size=\"111202987\", alpha=\"0.12\", expect_size=\"33360896\"] \n  10 -> 13 [size =\"33360896\"]\n  11 [size=\"83415040\", alpha=\"0.11\", expect_size=\"25024512\"] \n  11 -> 15 [size =\"25024512\"]\n  11 -> 17 [size =\"25024512\"]\n  12 [size=\"62624427\", alpha=\"0.01\", expect_size=\"18787328\"] \n  12 -> 15 [size =\"18787328\"]\n  12 -> 16 [size =\"18787328\"]\n  13 [size=\"71570773\", alpha=\"0.15\", expect_size=\"21471232\"] \n  13 -> 16 [size =\"21471232\"]\n  14 [size=\"44049067\", alpha=\"0.07\", expect_size=\"13214720\"] \n  14 -> 17 [size =\"13214720\"]\n  15 [size=\"156224853\", alpha=\"0.13\", expect_size=\"46867456\"] \n  15 -> 18 [size =\"46867456\"]\n  15 -> 19 [size =\"46867456\"]\n  16 [size=\"65508693\", alpha=\"0.11\", expect_size=\"19652608\"] \n  16 -> 18 [size =\"19652608\"]\n  17 [size=\"112868693\", alpha=\"0.11\", expect_size=\"33860608\"] \n  17 -> 18 [size =\"33860608\"]\n  17 -> 19 [size =\"33860608\"]\n  18 [size=\"56251733\", alpha=\"0.05\", expect_size=\"16875520\"] \n  18 -> 20 [size =\"16875520\"]\n  18 -> 21 [size =\"16875520\"]\n  18 -> 22 [size =\"16875520\"]\n  18 -> 23 [size =\"16875520\"]\n  18 -> 24 [size =\"16875520\"]\n  19 [size=\"140584960\", alpha=\"0.09\", expect_size=\"42175488\"] \n  19 -> 20 [size =\"42175488\"]\n  19 -> 21 [size =\"42175488\"]\n  19 -> 22 [size =\"42175488\"]\n  19 -> 23 [size =\"42175488\"]\n  19 -> 24 [size =\"42175488\"]\n  20 [size=\"138199040\", alpha=\"0.15\", expect_size=\"41459712\"] \n  20 -> 26 [size =\"41459712\"]\n  20 -> 28 [size =\"41459712\"]\n  20 -> 28 [size =\"41459712\"]\n  21 [size=\"74055680\", alpha=\"0.01\", expect_size=\"22216704\"] \n  21 -> 25 [size =\"22216704\"]\n  21 -> 26 [size =\"22216704\"]\n  21 -> 29 [size =\"22216704\"]\n  22 [size=\"158655147\", alpha=\"0.20\", expect_size=\"47596544\"] \n  22 -> 25 [size =\"47596544\"]\n  22 -> 26 [size =\"47596544\"]\n  22 -> 28 [size =\"47596544\"]\n  22 -> 29 [size =\"47596544\"]\n  22 -> 30 [size =\"47596544\"]\n  23 [size=\"167430827\", alpha=\"0.08\", expect_size=\"50229248\"] \n  23 -> 25 [size =\"50229248\"]\n  23 -> 28 [size =\"50229248\"]\n  23 -> 29 [size =\"50229248\"]\n  24 [size=\"129047893\", alpha=\"0.02\", expect_size=\"38714368\"] \n  24 -> 26 [size =\"38714368\"]\n  24 -> 27 [size =\"38714368\"]\n  24 -> 28 [size =\"38714368\"]\n  24 -> 29 [size =\"38714368\"]\n  25 [size=\"30443520\", alpha=\"0.10\", expect_size=\"9133056\"] \n  26 [size=\"129795413\", alpha=\"0.16\", expect_size=\"38938624\"] \n  27 [size=\"59723093\", alpha=\"0.04\", expect_size=\"17916928\"] \n  28 [size=\"147428693\", alpha=\"0.07\", expect_size=\"44228608\"] \n  29 [size=\"26668373\", alpha=\"0.20\", expect_size=\"8000512\"] \n  30 [size=\"96337920\", alpha=\"0.05\", expect_size=\"28901376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79063040\", alpha=\"0.19\", expect_size=\"31625216\"] \n  1 -> 25 [size =\"31625216\"]\n  1 -> 26 [size =\"31625216\"]\n  1 -> 27 [size =\"31625216\"]\n  1 -> 28 [size =\"31625216\"]\n  1 -> 29 [size =\"31625216\"]\n  2 [size=\"19609600\", alpha=\"0.12\", expect_size=\"7843840\"] \n  2 -> 21 [size =\"7843840\"]\n  2 -> 22 [size =\"7843840\"]\n  2 -> 23 [size =\"7843840\"]\n  3 [size=\"20643840\", alpha=\"0.13\", expect_size=\"8257536\"] \n  3 -> 23 [size =\"8257536\"]\n  3 -> 25 [size =\"8257536\"]\n  3 -> 26 [size =\"8257536\"]\n  3 -> 28 [size =\"8257536\"]\n  4 [size=\"54428160\", alpha=\"0.11\", expect_size=\"21771264\"] \n  4 -> 23 [size =\"21771264\"]\n  4 -> 24 [size =\"21771264\"]\n  4 -> 25 [size =\"21771264\"]\n  4 -> 26 [size =\"21771264\"]\n  4 -> 28 [size =\"21771264\"]\n  4 -> 29 [size =\"21771264\"]\n  5 [size=\"35929600\", alpha=\"0.14\", expect_size=\"14371840\"] \n  5 -> 23 [size =\"14371840\"]\n  5 -> 25 [size =\"14371840\"]\n  5 -> 26 [size =\"14371840\"]\n  5 -> 27 [size =\"14371840\"]\n  5 -> 29 [size =\"14371840\"]\n  5 -> 29 [size =\"14371840\"]\n  6 [size=\"90664960\", alpha=\"0.20\", expect_size=\"36265984\"] \n  6 -> 21 [size =\"36265984\"]\n  6 -> 23 [size =\"36265984\"]\n  6 -> 29 [size =\"36265984\"]\n  7 [size=\"62312960\", alpha=\"0.16\", expect_size=\"24925184\"] \n  7 -> 23 [size =\"24925184\"]\n  7 -> 24 [size =\"24925184\"]\n  7 -> 29 [size =\"24925184\"]\n  8 [size=\"93460480\", alpha=\"0.11\", expect_size=\"37384192\"] \n  8 -> 21 [size =\"37384192\"]\n  8 -> 23 [size =\"37384192\"]\n  9 [size=\"124160000\", alpha=\"0.10\", expect_size=\"49664000\"] \n  9 -> 23 [size =\"49664000\"]\n  9 -> 24 [size =\"49664000\"]\n  10 [size=\"51335680\", alpha=\"0.18\", expect_size=\"20534272\"] \n  10 -> 22 [size =\"20534272\"]\n  10 -> 23 [size =\"20534272\"]\n  10 -> 28 [size =\"20534272\"]\n  10 -> 29 [size =\"20534272\"]\n  10 -> 30 [size =\"20534272\"]\n  11 [size=\"35499520\", alpha=\"0.03\", expect_size=\"14199808\"] \n  11 -> 21 [size =\"14199808\"]\n  11 -> 23 [size =\"14199808\"]\n  11 -> 25 [size =\"14199808\"]\n  11 -> 28 [size =\"14199808\"]\n  12 [size=\"29795840\", alpha=\"0.14\", expect_size=\"11918336\"] \n  12 -> 25 [size =\"11918336\"]\n  12 -> 29 [size =\"11918336\"]\n  13 [size=\"101429760\", alpha=\"0.15\", expect_size=\"40571904\"] \n  13 -> 28 [size =\"40571904\"]\n  13 -> 29 [size =\"40571904\"]\n  14 [size=\"62830080\", alpha=\"0.02\", expect_size=\"25132032\"] \n  14 -> 21 [size =\"25132032\"]\n  14 -> 23 [size =\"25132032\"]\n  14 -> 25 [size =\"25132032\"]\n  14 -> 28 [size =\"25132032\"]\n  14 -> 29 [size =\"25132032\"]\n  14 -> 30 [size =\"25132032\"]\n  15 [size=\"129344000\", alpha=\"0.17\", expect_size=\"51737600\"] \n  15 -> 21 [size =\"51737600\"]\n  15 -> 23 [size =\"51737600\"]\n  15 -> 24 [size =\"51737600\"]\n  15 -> 25 [size =\"51737600\"]\n  15 -> 30 [size =\"51737600\"]\n  16 [size=\"92971520\", alpha=\"0.10\", expect_size=\"37188608\"] \n  16 -> 23 [size =\"37188608\"]\n  16 -> 23 [size =\"37188608\"]\n  16 -> 24 [size =\"37188608\"]\n  16 -> 30 [size =\"37188608\"]\n  17 [size=\"92241920\", alpha=\"0.11\", expect_size=\"36896768\"] \n  17 -> 24 [size =\"36896768\"]\n  17 -> 27 [size =\"36896768\"]\n  18 [size=\"71539200\", alpha=\"0.06\", expect_size=\"28615680\"] \n  18 -> 26 [size =\"28615680\"]\n  18 -> 28 [size =\"28615680\"]\n  18 -> 29 [size =\"28615680\"]\n  19 [size=\"18524160\", alpha=\"0.07\", expect_size=\"7409664\"] \n  19 -> 25 [size =\"7409664\"]\n  19 -> 26 [size =\"7409664\"]\n  19 -> 28 [size =\"7409664\"]\n  20 [size=\"77844480\", alpha=\"0.03\", expect_size=\"31137792\"] \n  20 -> 24 [size =\"31137792\"]\n  20 -> 26 [size =\"31137792\"]\n  21 [size=\"64092160\", alpha=\"0.10\", expect_size=\"25636864\"] \n  22 [size=\"82946560\", alpha=\"0.18\", expect_size=\"33178624\"] \n  23 [size=\"48719360\", alpha=\"0.08\", expect_size=\"19487744\"] \n  24 [size=\"19558400\", alpha=\"0.04\", expect_size=\"7823360\"] \n  25 [size=\"33643520\", alpha=\"0.04\", expect_size=\"13457408\"] \n  26 [size=\"18608640\", alpha=\"0.18\", expect_size=\"7443456\"] \n  27 [size=\"75607040\", alpha=\"0.20\", expect_size=\"30242816\"] \n  28 [size=\"19978240\", alpha=\"0.15\", expect_size=\"7991296\"] \n  29 [size=\"56000000\", alpha=\"0.09\", expect_size=\"22400000\"] \n  30 [size=\"98081280\", alpha=\"0.10\", expect_size=\"39232512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66863787\", alpha=\"0.13\", expect_size=\"20059136\"] \n  1 -> 2 [size =\"20059136\"]\n  2 [size=\"52985173\", alpha=\"0.05\", expect_size=\"15895552\"] \n  2 -> 3 [size =\"15895552\"]\n  2 -> 4 [size =\"15895552\"]\n  3 [size=\"18073600\", alpha=\"0.09\", expect_size=\"5422080\"] \n  3 -> 5 [size =\"5422080\"]\n  4 [size=\"124631040\", alpha=\"0.10\", expect_size=\"37389312\"] \n  5 [size=\"139697493\", alpha=\"0.04\", expect_size=\"41909248\"] \n  5 -> 6 [size =\"41909248\"]\n  5 -> 7 [size =\"41909248\"]\n  6 [size=\"47656960\", alpha=\"0.04\", expect_size=\"14297088\"] \n  6 -> 9 [size =\"14297088\"]\n  7 [size=\"168772267\", alpha=\"0.07\", expect_size=\"50631680\"] \n  7 -> 8 [size =\"50631680\"]\n  7 -> 9 [size =\"50631680\"]\n  8 [size=\"123146240\", alpha=\"0.01\", expect_size=\"36943872\"] \n  8 -> 10 [size =\"36943872\"]\n  8 -> 11 [size =\"36943872\"]\n  9 [size=\"149346987\", alpha=\"0.14\", expect_size=\"44804096\"] \n  10 [size=\"97344853\", alpha=\"0.18\", expect_size=\"29203456\"] \n  10 -> 12 [size =\"29203456\"]\n  11 [size=\"96368640\", alpha=\"0.09\", expect_size=\"28910592\"] \n  11 -> 13 [size =\"28910592\"]\n  12 [size=\"41342293\", alpha=\"0.07\", expect_size=\"12402688\"] \n  12 -> 14 [size =\"12402688\"]\n  13 [size=\"77871787\", alpha=\"0.05\", expect_size=\"23361536\"] \n  13 -> 14 [size =\"23361536\"]\n  14 [size=\"146783573\", alpha=\"0.14\", expect_size=\"44035072\"] \n  14 -> 15 [size =\"44035072\"]\n  14 -> 16 [size =\"44035072\"]\n  15 [size=\"71348907\", alpha=\"0.06\", expect_size=\"21404672\"] \n  16 [size=\"100345173\", alpha=\"0.16\", expect_size=\"30103552\"] \n  16 -> 17 [size =\"30103552\"]\n  16 -> 18 [size =\"30103552\"]\n  17 [size=\"128761173\", alpha=\"0.19\", expect_size=\"38628352\"] \n  17 -> 20 [size =\"38628352\"]\n  18 [size=\"27323733\", alpha=\"0.16\", expect_size=\"8197120\"] \n  18 -> 19 [size =\"8197120\"]\n  18 -> 20 [size =\"8197120\"]\n  19 [size=\"31829333\", alpha=\"0.16\", expect_size=\"9548800\"] \n  19 -> 21 [size =\"9548800\"]\n  20 [size=\"142677333\", alpha=\"0.17\", expect_size=\"42803200\"] \n  21 [size=\"125388800\", alpha=\"0.05\", expect_size=\"37616640\"] \n  21 -> 22 [size =\"37616640\"]\n  22 [size=\"39051947\", alpha=\"0.17\", expect_size=\"11715584\"] \n  22 -> 23 [size =\"11715584\"]\n  22 -> 24 [size =\"11715584\"]\n  23 [size=\"97788587\", alpha=\"0.09\", expect_size=\"29336576\"] \n  23 -> 25 [size =\"29336576\"]\n  23 -> 26 [size =\"29336576\"]\n  24 [size=\"134423893\", alpha=\"0.15\", expect_size=\"40327168\"] \n  24 -> 26 [size =\"40327168\"]\n  25 [size=\"84527787\", alpha=\"0.16\", expect_size=\"25358336\"] \n  26 [size=\"135451307\", alpha=\"0.01\", expect_size=\"40635392\"] \n  26 -> 27 [size =\"40635392\"]\n  27 [size=\"101399893\", alpha=\"0.06\", expect_size=\"30419968\"] \n  27 -> 28 [size =\"30419968\"]\n  28 [size=\"91849387\", alpha=\"0.03\", expect_size=\"27554816\"] \n  28 -> 29 [size =\"27554816\"]\n  28 -> 30 [size =\"27554816\"]\n  29 [size=\"58050560\", alpha=\"0.18\", expect_size=\"17415168\"] \n  30 [size=\"25978880\", alpha=\"0.03\", expect_size=\"7793664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27889664\", alpha=\"0.20\", expect_size=\"13944832\"] \n  1 -> 13 [size =\"13944832\"]\n  1 -> 17 [size =\"13944832\"]\n  2 [size=\"84410368\", alpha=\"0.18\", expect_size=\"42205184\"] \n  2 -> 11 [size =\"42205184\"]\n  2 -> 12 [size =\"42205184\"]\n  3 [size=\"77099008\", alpha=\"0.09\", expect_size=\"38549504\"] \n  3 -> 14 [size =\"38549504\"]\n  3 -> 16 [size =\"38549504\"]\n  3 -> 17 [size =\"38549504\"]\n  3 -> 18 [size =\"38549504\"]\n  4 [size=\"82696192\", alpha=\"0.12\", expect_size=\"41348096\"] \n  4 -> 10 [size =\"41348096\"]\n  4 -> 12 [size =\"41348096\"]\n  4 -> 16 [size =\"41348096\"]\n  4 -> 17 [size =\"41348096\"]\n  4 -> 18 [size =\"41348096\"]\n  5 [size=\"96475136\", alpha=\"0.07\", expect_size=\"48237568\"] \n  5 -> 10 [size =\"48237568\"]\n  5 -> 11 [size =\"48237568\"]\n  5 -> 16 [size =\"48237568\"]\n  6 [size=\"70211584\", alpha=\"0.15\", expect_size=\"35105792\"] \n  6 -> 10 [size =\"35105792\"]\n  6 -> 15 [size =\"35105792\"]\n  6 -> 17 [size =\"35105792\"]\n  6 -> 18 [size =\"35105792\"]\n  7 [size=\"69539840\", alpha=\"0.04\", expect_size=\"34769920\"] \n  7 -> 15 [size =\"34769920\"]\n  8 [size=\"100679680\", alpha=\"0.06\", expect_size=\"50339840\"] \n  8 -> 10 [size =\"50339840\"]\n  8 -> 16 [size =\"50339840\"]\n  9 [size=\"44302336\", alpha=\"0.05\", expect_size=\"22151168\"] \n  9 -> 12 [size =\"22151168\"]\n  9 -> 17 [size =\"22151168\"]\n  10 [size=\"73635840\", alpha=\"0.10\", expect_size=\"36817920\"] \n  10 -> 21 [size =\"36817920\"]\n  10 -> 23 [size =\"36817920\"]\n  10 -> 24 [size =\"36817920\"]\n  10 -> 27 [size =\"36817920\"]\n  11 [size=\"31440896\", alpha=\"0.09\", expect_size=\"15720448\"] \n  11 -> 24 [size =\"15720448\"]\n  12 [size=\"30435328\", alpha=\"0.14\", expect_size=\"15217664\"] \n  13 [size=\"18720768\", alpha=\"0.04\", expect_size=\"9360384\"] \n  13 -> 20 [size =\"9360384\"]\n  13 -> 22 [size =\"9360384\"]\n  14 [size=\"62599168\", alpha=\"0.07\", expect_size=\"31299584\"] \n  14 -> 21 [size =\"31299584\"]\n  14 -> 26 [size =\"31299584\"]\n  15 [size=\"23283712\", alpha=\"0.11\", expect_size=\"11641856\"] \n  15 -> 20 [size =\"11641856\"]\n  15 -> 21 [size =\"11641856\"]\n  16 [size=\"58554368\", alpha=\"0.15\", expect_size=\"29277184\"] \n  16 -> 21 [size =\"29277184\"]\n  16 -> 23 [size =\"29277184\"]\n  16 -> 25 [size =\"29277184\"]\n  16 -> 26 [size =\"29277184\"]\n  17 [size=\"35022848\", alpha=\"0.18\", expect_size=\"17511424\"] \n  17 -> 24 [size =\"17511424\"]\n  17 -> 27 [size =\"17511424\"]\n  18 [size=\"52162560\", alpha=\"0.04\", expect_size=\"26081280\"] \n  18 -> 19 [size =\"26081280\"]\n  18 -> 20 [size =\"26081280\"]\n  18 -> 22 [size =\"26081280\"]\n  18 -> 23 [size =\"26081280\"]\n  18 -> 24 [size =\"26081280\"]\n  18 -> 25 [size =\"26081280\"]\n  18 -> 27 [size =\"26081280\"]\n  19 [size=\"82087936\", alpha=\"0.15\", expect_size=\"41043968\"] \n  19 -> 29 [size =\"41043968\"]\n  20 [size=\"104513536\", alpha=\"0.07\", expect_size=\"52256768\"] \n  20 -> 28 [size =\"52256768\"]\n  20 -> 29 [size =\"52256768\"]\n  20 -> 30 [size =\"52256768\"]\n  21 [size=\"57663488\", alpha=\"0.02\", expect_size=\"28831744\"] \n  21 -> 28 [size =\"28831744\"]\n  22 [size=\"98955264\", alpha=\"0.13\", expect_size=\"49477632\"] \n  23 [size=\"72364032\", alpha=\"0.18\", expect_size=\"36182016\"] \n  23 -> 29 [size =\"36182016\"]\n  23 -> 30 [size =\"36182016\"]\n  24 [size=\"92188672\", alpha=\"0.18\", expect_size=\"46094336\"] \n  24 -> 29 [size =\"46094336\"]\n  24 -> 30 [size =\"46094336\"]\n  25 [size=\"32063488\", alpha=\"0.17\", expect_size=\"16031744\"] \n  25 -> 29 [size =\"16031744\"]\n  26 [size=\"85780480\", alpha=\"0.08\", expect_size=\"42890240\"] \n  27 [size=\"63713280\", alpha=\"0.12\", expect_size=\"31856640\"] \n  28 [size=\"56211456\", alpha=\"0.15\", expect_size=\"28105728\"] \n  29 [size=\"73932800\", alpha=\"0.05\", expect_size=\"36966400\"] \n  30 [size=\"50495488\", alpha=\"0.08\", expect_size=\"25247744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112816640\", alpha=\"0.11\", expect_size=\"45126656\"] \n  1 -> 3 [size =\"45126656\"]\n  2 [size=\"119365120\", alpha=\"0.08\", expect_size=\"47746048\"] \n  3 [size=\"94691840\", alpha=\"0.11\", expect_size=\"37876736\"] \n  3 -> 4 [size =\"37876736\"]\n  4 [size=\"95349760\", alpha=\"0.02\", expect_size=\"38139904\"] \n  4 -> 5 [size =\"38139904\"]\n  4 -> 6 [size =\"38139904\"]\n  5 [size=\"17776640\", alpha=\"0.15\", expect_size=\"7110656\"] \n  5 -> 7 [size =\"7110656\"]\n  5 -> 8 [size =\"7110656\"]\n  6 [size=\"83089920\", alpha=\"0.20\", expect_size=\"33235968\"] \n  7 [size=\"68328960\", alpha=\"0.11\", expect_size=\"27331584\"] \n  7 -> 9 [size =\"27331584\"]\n  7 -> 10 [size =\"27331584\"]\n  8 [size=\"95060480\", alpha=\"0.06\", expect_size=\"38024192\"] \n  9 [size=\"20858880\", alpha=\"0.06\", expect_size=\"8343552\"] \n  9 -> 11 [size =\"8343552\"]\n  10 [size=\"53560320\", alpha=\"0.02\", expect_size=\"21424128\"] \n  11 [size=\"107834880\", alpha=\"0.09\", expect_size=\"43133952\"] \n  11 -> 12 [size =\"43133952\"]\n  11 -> 13 [size =\"43133952\"]\n  12 [size=\"53073920\", alpha=\"0.02\", expect_size=\"21229568\"] \n  12 -> 14 [size =\"21229568\"]\n  12 -> 15 [size =\"21229568\"]\n  13 [size=\"102597120\", alpha=\"0.16\", expect_size=\"41038848\"] \n  14 [size=\"49530880\", alpha=\"0.06\", expect_size=\"19812352\"] \n  14 -> 16 [size =\"19812352\"]\n  14 -> 17 [size =\"19812352\"]\n  15 [size=\"58885120\", alpha=\"0.03\", expect_size=\"23554048\"] \n  16 [size=\"32253440\", alpha=\"0.17\", expect_size=\"12901376\"] \n  17 [size=\"30824960\", alpha=\"0.10\", expect_size=\"12329984\"] \n  17 -> 18 [size =\"12329984\"]\n  18 [size=\"94031360\", alpha=\"0.09\", expect_size=\"37612544\"] \n  18 -> 19 [size =\"37612544\"]\n  19 [size=\"130206720\", alpha=\"0.00\", expect_size=\"52082688\"] \n  19 -> 20 [size =\"52082688\"]\n  19 -> 21 [size =\"52082688\"]\n  20 [size=\"49190400\", alpha=\"0.17\", expect_size=\"19676160\"] \n  21 [size=\"58408960\", alpha=\"0.10\", expect_size=\"23363584\"] \n  21 -> 22 [size =\"23363584\"]\n  22 [size=\"110661120\", alpha=\"0.01\", expect_size=\"44264448\"] \n  22 -> 23 [size =\"44264448\"]\n  22 -> 24 [size =\"44264448\"]\n  23 [size=\"121338880\", alpha=\"0.06\", expect_size=\"48535552\"] \n  23 -> 25 [size =\"48535552\"]\n  24 [size=\"98521600\", alpha=\"0.05\", expect_size=\"39408640\"] \n  25 [size=\"14248960\", alpha=\"0.05\", expect_size=\"5699584\"] \n  25 -> 26 [size =\"5699584\"]\n  26 [size=\"30451200\", alpha=\"0.17\", expect_size=\"12180480\"] \n  26 -> 27 [size =\"12180480\"]\n  27 [size=\"14702080\", alpha=\"0.18\", expect_size=\"5880832\"] \n  27 -> 28 [size =\"5880832\"]\n  27 -> 29 [size =\"5880832\"]\n  28 [size=\"72419840\", alpha=\"0.13\", expect_size=\"28967936\"] \n  28 -> 30 [size =\"28967936\"]\n  29 [size=\"123148800\", alpha=\"0.09\", expect_size=\"49259520\"] \n  30 [size=\"124270080\", alpha=\"0.12\", expect_size=\"49708032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50323456\", alpha=\"0.09\", expect_size=\"25161728\"] \n  1 -> 10 [size =\"25161728\"]\n  1 -> 12 [size =\"25161728\"]\n  2 [size=\"101578752\", alpha=\"0.14\", expect_size=\"50789376\"] \n  2 -> 9 [size =\"50789376\"]\n  2 -> 10 [size =\"50789376\"]\n  3 [size=\"80871424\", alpha=\"0.01\", expect_size=\"40435712\"] \n  3 -> 8 [size =\"40435712\"]\n  3 -> 11 [size =\"40435712\"]\n  4 [size=\"55285760\", alpha=\"0.09\", expect_size=\"27642880\"] \n  4 -> 8 [size =\"27642880\"]\n  4 -> 9 [size =\"27642880\"]\n  5 [size=\"23744512\", alpha=\"0.13\", expect_size=\"11872256\"] \n  5 -> 8 [size =\"11872256\"]\n  5 -> 9 [size =\"11872256\"]\n  5 -> 10 [size =\"11872256\"]\n  5 -> 11 [size =\"11872256\"]\n  5 -> 12 [size =\"11872256\"]\n  6 [size=\"84443136\", alpha=\"0.09\", expect_size=\"42221568\"] \n  6 -> 10 [size =\"42221568\"]\n  6 -> 11 [size =\"42221568\"]\n  7 [size=\"99303424\", alpha=\"0.02\", expect_size=\"49651712\"] \n  7 -> 10 [size =\"49651712\"]\n  7 -> 11 [size =\"49651712\"]\n  7 -> 13 [size =\"49651712\"]\n  8 [size=\"46151680\", alpha=\"0.12\", expect_size=\"23075840\"] \n  8 -> 18 [size =\"23075840\"]\n  8 -> 20 [size =\"23075840\"]\n  9 [size=\"32608256\", alpha=\"0.14\", expect_size=\"16304128\"] \n  9 -> 15 [size =\"16304128\"]\n  9 -> 17 [size =\"16304128\"]\n  9 -> 22 [size =\"16304128\"]\n  10 [size=\"55775232\", alpha=\"0.04\", expect_size=\"27887616\"] \n  10 -> 14 [size =\"27887616\"]\n  10 -> 15 [size =\"27887616\"]\n  10 -> 17 [size =\"27887616\"]\n  10 -> 18 [size =\"27887616\"]\n  10 -> 20 [size =\"27887616\"]\n  10 -> 21 [size =\"27887616\"]\n  11 [size=\"40179712\", alpha=\"0.00\", expect_size=\"20089856\"] \n  11 -> 16 [size =\"20089856\"]\n  11 -> 19 [size =\"20089856\"]\n  11 -> 21 [size =\"20089856\"]\n  12 [size=\"81252352\", alpha=\"0.10\", expect_size=\"40626176\"] \n  12 -> 17 [size =\"40626176\"]\n  12 -> 19 [size =\"40626176\"]\n  12 -> 21 [size =\"40626176\"]\n  12 -> 22 [size =\"40626176\"]\n  13 [size=\"54523904\", alpha=\"0.03\", expect_size=\"27261952\"] \n  13 -> 19 [size =\"27261952\"]\n  13 -> 21 [size =\"27261952\"]\n  14 [size=\"61413376\", alpha=\"0.06\", expect_size=\"30706688\"] \n  14 -> 25 [size =\"30706688\"]\n  14 -> 29 [size =\"30706688\"]\n  14 -> 30 [size =\"30706688\"]\n  15 [size=\"101564416\", alpha=\"0.01\", expect_size=\"50782208\"] \n  15 -> 25 [size =\"50782208\"]\n  15 -> 26 [size =\"50782208\"]\n  15 -> 28 [size =\"50782208\"]\n  15 -> 30 [size =\"50782208\"]\n  16 [size=\"68646912\", alpha=\"0.11\", expect_size=\"34323456\"] \n  16 -> 25 [size =\"34323456\"]\n  16 -> 29 [size =\"34323456\"]\n  16 -> 30 [size =\"34323456\"]\n  16 -> 30 [size =\"34323456\"]\n  17 [size=\"18946048\", alpha=\"0.04\", expect_size=\"9473024\"] \n  17 -> 25 [size =\"9473024\"]\n  17 -> 26 [size =\"9473024\"]\n  17 -> 29 [size =\"9473024\"]\n  17 -> 30 [size =\"9473024\"]\n  18 [size=\"29065216\", alpha=\"0.06\", expect_size=\"14532608\"] \n  18 -> 23 [size =\"14532608\"]\n  18 -> 24 [size =\"14532608\"]\n  18 -> 25 [size =\"14532608\"]\n  18 -> 28 [size =\"14532608\"]\n  18 -> 29 [size =\"14532608\"]\n  18 -> 30 [size =\"14532608\"]\n  19 [size=\"86439936\", alpha=\"0.03\", expect_size=\"43219968\"] \n  19 -> 23 [size =\"43219968\"]\n  20 [size=\"59312128\", alpha=\"0.03\", expect_size=\"29656064\"] \n  20 -> 23 [size =\"29656064\"]\n  20 -> 24 [size =\"29656064\"]\n  20 -> 26 [size =\"29656064\"]\n  21 [size=\"77359104\", alpha=\"0.11\", expect_size=\"38679552\"] \n  21 -> 23 [size =\"38679552\"]\n  21 -> 27 [size =\"38679552\"]\n  22 [size=\"78409728\", alpha=\"0.19\", expect_size=\"39204864\"] \n  22 -> 25 [size =\"39204864\"]\n  22 -> 29 [size =\"39204864\"]\n  23 [size=\"32819200\", alpha=\"0.01\", expect_size=\"16409600\"] \n  24 [size=\"47919104\", alpha=\"0.13\", expect_size=\"23959552\"] \n  25 [size=\"74686464\", alpha=\"0.08\", expect_size=\"37343232\"] \n  26 [size=\"79605760\", alpha=\"0.19\", expect_size=\"39802880\"] \n  27 [size=\"36620288\", alpha=\"0.08\", expect_size=\"18310144\"] \n  28 [size=\"54583296\", alpha=\"0.05\", expect_size=\"27291648\"] \n  29 [size=\"83339264\", alpha=\"0.07\", expect_size=\"41669632\"] \n  30 [size=\"95918080\", alpha=\"0.18\", expect_size=\"47959040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85407744\", alpha=\"0.03\", expect_size=\"42703872\"] \n  1 -> 10 [size =\"42703872\"]\n  1 -> 11 [size =\"42703872\"]\n  2 [size=\"63334400\", alpha=\"0.18\", expect_size=\"31667200\"] \n  2 -> 11 [size =\"31667200\"]\n  2 -> 14 [size =\"31667200\"]\n  3 [size=\"83218432\", alpha=\"0.08\", expect_size=\"41609216\"] \n  3 -> 19 [size =\"41609216\"]\n  4 [size=\"65763328\", alpha=\"0.07\", expect_size=\"32881664\"] \n  4 -> 11 [size =\"32881664\"]\n  4 -> 15 [size =\"32881664\"]\n  4 -> 16 [size =\"32881664\"]\n  4 -> 17 [size =\"32881664\"]\n  4 -> 18 [size =\"32881664\"]\n  5 [size=\"58908672\", alpha=\"0.01\", expect_size=\"29454336\"] \n  5 -> 13 [size =\"29454336\"]\n  5 -> 14 [size =\"29454336\"]\n  5 -> 15 [size =\"29454336\"]\n  5 -> 17 [size =\"29454336\"]\n  6 [size=\"68915200\", alpha=\"0.02\", expect_size=\"34457600\"] \n  6 -> 10 [size =\"34457600\"]\n  6 -> 15 [size =\"34457600\"]\n  6 -> 17 [size =\"34457600\"]\n  7 [size=\"91779072\", alpha=\"0.02\", expect_size=\"45889536\"] \n  7 -> 10 [size =\"45889536\"]\n  7 -> 12 [size =\"45889536\"]\n  7 -> 15 [size =\"45889536\"]\n  7 -> 17 [size =\"45889536\"]\n  8 [size=\"43954176\", alpha=\"0.00\", expect_size=\"21977088\"] \n  8 -> 10 [size =\"21977088\"]\n  8 -> 11 [size =\"21977088\"]\n  8 -> 14 [size =\"21977088\"]\n  9 [size=\"99360768\", alpha=\"0.09\", expect_size=\"49680384\"] \n  9 -> 12 [size =\"49680384\"]\n  10 [size=\"49074176\", alpha=\"0.01\", expect_size=\"24537088\"] \n  10 -> 22 [size =\"24537088\"]\n  10 -> 23 [size =\"24537088\"]\n  11 [size=\"94447616\", alpha=\"0.06\", expect_size=\"47223808\"] \n  11 -> 23 [size =\"47223808\"]\n  11 -> 29 [size =\"47223808\"]\n  12 [size=\"15570944\", alpha=\"0.19\", expect_size=\"7785472\"] \n  12 -> 21 [size =\"7785472\"]\n  12 -> 24 [size =\"7785472\"]\n  12 -> 29 [size =\"7785472\"]\n  13 [size=\"99964928\", alpha=\"0.18\", expect_size=\"49982464\"] \n  13 -> 20 [size =\"49982464\"]\n  13 -> 26 [size =\"49982464\"]\n  13 -> 28 [size =\"49982464\"]\n  13 -> 29 [size =\"49982464\"]\n  14 [size=\"41940992\", alpha=\"0.00\", expect_size=\"20970496\"] \n  14 -> 20 [size =\"20970496\"]\n  14 -> 25 [size =\"20970496\"]\n  14 -> 26 [size =\"20970496\"]\n  15 [size=\"75524096\", alpha=\"0.17\", expect_size=\"37762048\"] \n  15 -> 21 [size =\"37762048\"]\n  15 -> 23 [size =\"37762048\"]\n  15 -> 24 [size =\"37762048\"]\n  15 -> 25 [size =\"37762048\"]\n  15 -> 26 [size =\"37762048\"]\n  15 -> 27 [size =\"37762048\"]\n  16 [size=\"80302080\", alpha=\"0.09\", expect_size=\"40151040\"] \n  16 -> 22 [size =\"40151040\"]\n  16 -> 23 [size =\"40151040\"]\n  16 -> 25 [size =\"40151040\"]\n  16 -> 27 [size =\"40151040\"]\n  16 -> 28 [size =\"40151040\"]\n  16 -> 29 [size =\"40151040\"]\n  17 [size=\"89448448\", alpha=\"0.07\", expect_size=\"44724224\"] \n  17 -> 21 [size =\"44724224\"]\n  17 -> 22 [size =\"44724224\"]\n  17 -> 24 [size =\"44724224\"]\n  18 [size=\"97361920\", alpha=\"0.08\", expect_size=\"48680960\"] \n  18 -> 22 [size =\"48680960\"]\n  18 -> 23 [size =\"48680960\"]\n  18 -> 26 [size =\"48680960\"]\n  18 -> 28 [size =\"48680960\"]\n  18 -> 29 [size =\"48680960\"]\n  19 [size=\"99155968\", alpha=\"0.08\", expect_size=\"49577984\"] \n  19 -> 23 [size =\"49577984\"]\n  19 -> 26 [size =\"49577984\"]\n  19 -> 28 [size =\"49577984\"]\n  20 [size=\"48908288\", alpha=\"0.07\", expect_size=\"24454144\"] \n  21 [size=\"54077440\", alpha=\"0.02\", expect_size=\"27038720\"] \n  22 [size=\"84273152\", alpha=\"0.09\", expect_size=\"42136576\"] \n  23 [size=\"78694400\", alpha=\"0.11\", expect_size=\"39347200\"] \n  24 [size=\"70443008\", alpha=\"0.04\", expect_size=\"35221504\"] \n  24 -> 30 [size =\"35221504\"]\n  25 [size=\"72798208\", alpha=\"0.08\", expect_size=\"36399104\"] \n  26 [size=\"56608768\", alpha=\"0.04\", expect_size=\"28304384\"] \n  27 [size=\"101267456\", alpha=\"0.18\", expect_size=\"50633728\"] \n  28 [size=\"41848832\", alpha=\"0.18\", expect_size=\"20924416\"] \n  29 [size=\"81033216\", alpha=\"0.17\", expect_size=\"40516608\"] \n  30 [size=\"22968320\", alpha=\"0.05\", expect_size=\"11484160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32504320\", alpha=\"0.18\", expect_size=\"13001728\"] \n  1 -> 11 [size =\"13001728\"]\n  1 -> 12 [size =\"13001728\"]\n  1 -> 13 [size =\"13001728\"]\n  1 -> 16 [size =\"13001728\"]\n  2 [size=\"90132480\", alpha=\"0.01\", expect_size=\"36052992\"] \n  2 -> 11 [size =\"36052992\"]\n  2 -> 15 [size =\"36052992\"]\n  2 -> 16 [size =\"36052992\"]\n  3 [size=\"47674880\", alpha=\"0.04\", expect_size=\"19069952\"] \n  3 -> 13 [size =\"19069952\"]\n  3 -> 15 [size =\"19069952\"]\n  3 -> 16 [size =\"19069952\"]\n  3 -> 17 [size =\"19069952\"]\n  3 -> 18 [size =\"19069952\"]\n  4 [size=\"35901440\", alpha=\"0.06\", expect_size=\"14360576\"] \n  4 -> 11 [size =\"14360576\"]\n  4 -> 12 [size =\"14360576\"]\n  4 -> 15 [size =\"14360576\"]\n  4 -> 16 [size =\"14360576\"]\n  4 -> 17 [size =\"14360576\"]\n  5 [size=\"58035200\", alpha=\"0.09\", expect_size=\"23214080\"] \n  5 -> 11 [size =\"23214080\"]\n  5 -> 13 [size =\"23214080\"]\n  5 -> 15 [size =\"23214080\"]\n  5 -> 17 [size =\"23214080\"]\n  5 -> 19 [size =\"23214080\"]\n  6 [size=\"65960960\", alpha=\"0.04\", expect_size=\"26384384\"] \n  6 -> 11 [size =\"26384384\"]\n  6 -> 13 [size =\"26384384\"]\n  6 -> 14 [size =\"26384384\"]\n  6 -> 15 [size =\"26384384\"]\n  6 -> 17 [size =\"26384384\"]\n  6 -> 19 [size =\"26384384\"]\n  7 [size=\"104299520\", alpha=\"0.01\", expect_size=\"41719808\"] \n  7 -> 11 [size =\"41719808\"]\n  7 -> 12 [size =\"41719808\"]\n  7 -> 14 [size =\"41719808\"]\n  7 -> 16 [size =\"41719808\"]\n  7 -> 17 [size =\"41719808\"]\n  8 [size=\"50872320\", alpha=\"0.18\", expect_size=\"20348928\"] \n  8 -> 11 [size =\"20348928\"]\n  8 -> 14 [size =\"20348928\"]\n  8 -> 16 [size =\"20348928\"]\n  8 -> 19 [size =\"20348928\"]\n  9 [size=\"28986880\", alpha=\"0.14\", expect_size=\"11594752\"] \n  9 -> 11 [size =\"11594752\"]\n  9 -> 12 [size =\"11594752\"]\n  9 -> 13 [size =\"11594752\"]\n  9 -> 14 [size =\"11594752\"]\n  9 -> 16 [size =\"11594752\"]\n  9 -> 19 [size =\"11594752\"]\n  10 [size=\"109780480\", alpha=\"0.18\", expect_size=\"43912192\"] \n  10 -> 15 [size =\"43912192\"]\n  10 -> 16 [size =\"43912192\"]\n  10 -> 17 [size =\"43912192\"]\n  10 -> 19 [size =\"43912192\"]\n  11 [size=\"124185600\", alpha=\"0.12\", expect_size=\"49674240\"] \n  11 -> 20 [size =\"49674240\"]\n  11 -> 21 [size =\"49674240\"]\n  11 -> 22 [size =\"49674240\"]\n  11 -> 27 [size =\"49674240\"]\n  11 -> 28 [size =\"49674240\"]\n  12 [size=\"110909440\", alpha=\"0.17\", expect_size=\"44363776\"] \n  12 -> 20 [size =\"44363776\"]\n  12 -> 21 [size =\"44363776\"]\n  12 -> 22 [size =\"44363776\"]\n  12 -> 25 [size =\"44363776\"]\n  12 -> 26 [size =\"44363776\"]\n  13 [size=\"118579200\", alpha=\"0.03\", expect_size=\"47431680\"] \n  13 -> 20 [size =\"47431680\"]\n  13 -> 22 [size =\"47431680\"]\n  13 -> 22 [size =\"47431680\"]\n  13 -> 25 [size =\"47431680\"]\n  13 -> 26 [size =\"47431680\"]\n  14 [size=\"22958080\", alpha=\"0.15\", expect_size=\"9183232\"] \n  14 -> 20 [size =\"9183232\"]\n  14 -> 21 [size =\"9183232\"]\n  14 -> 22 [size =\"9183232\"]\n  14 -> 24 [size =\"9183232\"]\n  14 -> 25 [size =\"9183232\"]\n  14 -> 26 [size =\"9183232\"]\n  15 [size=\"55636480\", alpha=\"0.01\", expect_size=\"22254592\"] \n  15 -> 22 [size =\"22254592\"]\n  15 -> 23 [size =\"22254592\"]\n  15 -> 24 [size =\"22254592\"]\n  15 -> 25 [size =\"22254592\"]\n  15 -> 26 [size =\"22254592\"]\n  16 [size=\"107471360\", alpha=\"0.07\", expect_size=\"42988544\"] \n  16 -> 21 [size =\"42988544\"]\n  16 -> 22 [size =\"42988544\"]\n  16 -> 23 [size =\"42988544\"]\n  16 -> 25 [size =\"42988544\"]\n  16 -> 26 [size =\"42988544\"]\n  16 -> 28 [size =\"42988544\"]\n  17 [size=\"14077440\", alpha=\"0.10\", expect_size=\"5630976\"] \n  17 -> 21 [size =\"5630976\"]\n  17 -> 22 [size =\"5630976\"]\n  17 -> 23 [size =\"5630976\"]\n  17 -> 25 [size =\"5630976\"]\n  17 -> 26 [size =\"5630976\"]\n  18 [size=\"19573760\", alpha=\"0.20\", expect_size=\"7829504\"] \n  18 -> 20 [size =\"7829504\"]\n  18 -> 21 [size =\"7829504\"]\n  18 -> 23 [size =\"7829504\"]\n  18 -> 24 [size =\"7829504\"]\n  18 -> 26 [size =\"7829504\"]\n  18 -> 28 [size =\"7829504\"]\n  19 [size=\"127439360\", alpha=\"0.02\", expect_size=\"50975744\"] \n  19 -> 21 [size =\"50975744\"]\n  19 -> 22 [size =\"50975744\"]\n  19 -> 23 [size =\"50975744\"]\n  19 -> 26 [size =\"50975744\"]\n  19 -> 26 [size =\"50975744\"]\n  19 -> 28 [size =\"50975744\"]\n  20 [size=\"92643840\", alpha=\"0.11\", expect_size=\"37057536\"] \n  20 -> 29 [size =\"37057536\"]\n  20 -> 30 [size =\"37057536\"]\n  21 [size=\"80706560\", alpha=\"0.03\", expect_size=\"32282624\"] \n  21 -> 30 [size =\"32282624\"]\n  21 -> 30 [size =\"32282624\"]\n  22 [size=\"34378240\", alpha=\"0.08\", expect_size=\"13751296\"] \n  22 -> 29 [size =\"13751296\"]\n  23 [size=\"15651840\", alpha=\"0.18\", expect_size=\"6260736\"] \n  23 -> 29 [size =\"6260736\"]\n  24 [size=\"32097280\", alpha=\"0.13\", expect_size=\"12838912\"] \n  24 -> 29 [size =\"12838912\"]\n  24 -> 30 [size =\"12838912\"]\n  25 [size=\"119201280\", alpha=\"0.16\", expect_size=\"47680512\"] \n  25 -> 29 [size =\"47680512\"]\n  25 -> 30 [size =\"47680512\"]\n  26 [size=\"128010240\", alpha=\"0.07\", expect_size=\"51204096\"] \n  26 -> 29 [size =\"51204096\"]\n  26 -> 30 [size =\"51204096\"]\n  27 [size=\"53624320\", alpha=\"0.14\", expect_size=\"21449728\"] \n  27 -> 29 [size =\"21449728\"]\n  27 -> 30 [size =\"21449728\"]\n  28 [size=\"114424320\", alpha=\"0.07\", expect_size=\"45769728\"] \n  28 -> 29 [size =\"45769728\"]\n  29 [size=\"112990720\", alpha=\"0.03\", expect_size=\"45196288\"] \n  30 [size=\"124183040\", alpha=\"0.15\", expect_size=\"49673216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16040960\", alpha=\"0.02\", expect_size=\"6416384\"] \n  1 -> 11 [size =\"6416384\"]\n  1 -> 16 [size =\"6416384\"]\n  2 [size=\"40686080\", alpha=\"0.04\", expect_size=\"16274432\"] \n  2 -> 15 [size =\"16274432\"]\n  2 -> 17 [size =\"16274432\"]\n  3 [size=\"107573760\", alpha=\"0.20\", expect_size=\"43029504\"] \n  3 -> 10 [size =\"43029504\"]\n  3 -> 11 [size =\"43029504\"]\n  3 -> 12 [size =\"43029504\"]\n  3 -> 16 [size =\"43029504\"]\n  4 [size=\"46522880\", alpha=\"0.14\", expect_size=\"18609152\"] \n  4 -> 11 [size =\"18609152\"]\n  4 -> 18 [size =\"18609152\"]\n  5 [size=\"98954240\", alpha=\"0.06\", expect_size=\"39581696\"] \n  5 -> 14 [size =\"39581696\"]\n  5 -> 18 [size =\"39581696\"]\n  6 [size=\"42831360\", alpha=\"0.16\", expect_size=\"17132544\"] \n  6 -> 15 [size =\"17132544\"]\n  7 [size=\"90350080\", alpha=\"0.10\", expect_size=\"36140032\"] \n  7 -> 10 [size =\"36140032\"]\n  7 -> 18 [size =\"36140032\"]\n  8 [size=\"101562880\", alpha=\"0.15\", expect_size=\"40625152\"] \n  8 -> 11 [size =\"40625152\"]\n  8 -> 13 [size =\"40625152\"]\n  8 -> 16 [size =\"40625152\"]\n  8 -> 18 [size =\"40625152\"]\n  9 [size=\"105679360\", alpha=\"0.18\", expect_size=\"42271744\"] \n  9 -> 15 [size =\"42271744\"]\n  10 [size=\"34232320\", alpha=\"0.04\", expect_size=\"13692928\"] \n  10 -> 21 [size =\"13692928\"]\n  10 -> 23 [size =\"13692928\"]\n  10 -> 24 [size =\"13692928\"]\n  10 -> 25 [size =\"13692928\"]\n  11 [size=\"123128320\", alpha=\"0.07\", expect_size=\"49251328\"] \n  11 -> 20 [size =\"49251328\"]\n  11 -> 21 [size =\"49251328\"]\n  11 -> 24 [size =\"49251328\"]\n  12 [size=\"16842240\", alpha=\"0.03\", expect_size=\"6736896\"] \n  12 -> 23 [size =\"6736896\"]\n  13 [size=\"43010560\", alpha=\"0.05\", expect_size=\"17204224\"] \n  13 -> 21 [size =\"17204224\"]\n  13 -> 22 [size =\"17204224\"]\n  13 -> 23 [size =\"17204224\"]\n  13 -> 24 [size =\"17204224\"]\n  13 -> 25 [size =\"17204224\"]\n  13 -> 26 [size =\"17204224\"]\n  13 -> 27 [size =\"17204224\"]\n  14 [size=\"40312320\", alpha=\"0.17\", expect_size=\"16124928\"] \n  14 -> 19 [size =\"16124928\"]\n  14 -> 23 [size =\"16124928\"]\n  14 -> 26 [size =\"16124928\"]\n  14 -> 27 [size =\"16124928\"]\n  15 [size=\"120360960\", alpha=\"0.14\", expect_size=\"48144384\"] \n  15 -> 19 [size =\"48144384\"]\n  15 -> 27 [size =\"48144384\"]\n  16 [size=\"38361600\", alpha=\"0.02\", expect_size=\"15344640\"] \n  16 -> 19 [size =\"15344640\"]\n  16 -> 22 [size =\"15344640\"]\n  17 [size=\"13818880\", alpha=\"0.19\", expect_size=\"5527552\"] \n  17 -> 20 [size =\"5527552\"]\n  17 -> 25 [size =\"5527552\"]\n  18 [size=\"70031360\", alpha=\"0.07\", expect_size=\"28012544\"] \n  18 -> 19 [size =\"28012544\"]\n  18 -> 21 [size =\"28012544\"]\n  18 -> 22 [size =\"28012544\"]\n  18 -> 23 [size =\"28012544\"]\n  18 -> 25 [size =\"28012544\"]\n  19 [size=\"42992640\", alpha=\"0.01\", expect_size=\"17197056\"] \n  19 -> 29 [size =\"17197056\"]\n  20 [size=\"30750720\", alpha=\"0.18\", expect_size=\"12300288\"] \n  21 [size=\"52912640\", alpha=\"0.15\", expect_size=\"21165056\"] \n  21 -> 29 [size =\"21165056\"]\n  22 [size=\"91755520\", alpha=\"0.17\", expect_size=\"36702208\"] \n  22 -> 30 [size =\"36702208\"]\n  23 [size=\"111106560\", alpha=\"0.16\", expect_size=\"44442624\"] \n  23 -> 28 [size =\"44442624\"]\n  23 -> 30 [size =\"44442624\"]\n  24 [size=\"25461760\", alpha=\"0.19\", expect_size=\"10184704\"] \n  25 [size=\"124792320\", alpha=\"0.18\", expect_size=\"49916928\"] \n  25 -> 29 [size =\"49916928\"]\n  25 -> 30 [size =\"49916928\"]\n  26 [size=\"88250880\", alpha=\"0.01\", expect_size=\"35300352\"] \n  26 -> 30 [size =\"35300352\"]\n  27 [size=\"101232640\", alpha=\"0.18\", expect_size=\"40493056\"] \n  27 -> 29 [size =\"40493056\"]\n  27 -> 30 [size =\"40493056\"]\n  28 [size=\"98278400\", alpha=\"0.09\", expect_size=\"39311360\"] \n  29 [size=\"20344320\", alpha=\"0.16\", expect_size=\"8137728\"] \n  30 [size=\"25203200\", alpha=\"0.07\", expect_size=\"10081280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75540480\", alpha=\"0.17\", expect_size=\"30216192\"] \n  1 -> 11 [size =\"30216192\"]\n  1 -> 12 [size =\"30216192\"]\n  1 -> 13 [size =\"30216192\"]\n  1 -> 16 [size =\"30216192\"]\n  1 -> 17 [size =\"30216192\"]\n  2 [size=\"15600640\", alpha=\"0.20\", expect_size=\"6240256\"] \n  2 -> 11 [size =\"6240256\"]\n  2 -> 14 [size =\"6240256\"]\n  2 -> 15 [size =\"6240256\"]\n  2 -> 16 [size =\"6240256\"]\n  3 [size=\"76032000\", alpha=\"0.13\", expect_size=\"30412800\"] \n  3 -> 10 [size =\"30412800\"]\n  3 -> 11 [size =\"30412800\"]\n  3 -> 14 [size =\"30412800\"]\n  3 -> 15 [size =\"30412800\"]\n  3 -> 16 [size =\"30412800\"]\n  3 -> 17 [size =\"30412800\"]\n  4 [size=\"121978880\", alpha=\"0.07\", expect_size=\"48791552\"] \n  4 -> 10 [size =\"48791552\"]\n  4 -> 11 [size =\"48791552\"]\n  4 -> 14 [size =\"48791552\"]\n  4 -> 15 [size =\"48791552\"]\n  4 -> 17 [size =\"48791552\"]\n  5 [size=\"68462080\", alpha=\"0.01\", expect_size=\"27384832\"] \n  5 -> 10 [size =\"27384832\"]\n  5 -> 11 [size =\"27384832\"]\n  5 -> 14 [size =\"27384832\"]\n  5 -> 15 [size =\"27384832\"]\n  6 [size=\"76623360\", alpha=\"0.00\", expect_size=\"30649344\"] \n  6 -> 11 [size =\"30649344\"]\n  6 -> 12 [size =\"30649344\"]\n  6 -> 15 [size =\"30649344\"]\n  6 -> 16 [size =\"30649344\"]\n  7 [size=\"69767680\", alpha=\"0.08\", expect_size=\"27907072\"] \n  7 -> 12 [size =\"27907072\"]\n  7 -> 14 [size =\"27907072\"]\n  7 -> 16 [size =\"27907072\"]\n  8 [size=\"56053760\", alpha=\"0.11\", expect_size=\"22421504\"] \n  8 -> 11 [size =\"22421504\"]\n  8 -> 12 [size =\"22421504\"]\n  8 -> 16 [size =\"22421504\"]\n  9 [size=\"29040640\", alpha=\"0.08\", expect_size=\"11616256\"] \n  9 -> 10 [size =\"11616256\"]\n  9 -> 11 [size =\"11616256\"]\n  9 -> 12 [size =\"11616256\"]\n  9 -> 16 [size =\"11616256\"]\n  10 [size=\"79887360\", alpha=\"0.11\", expect_size=\"31954944\"] \n  10 -> 19 [size =\"31954944\"]\n  10 -> 21 [size =\"31954944\"]\n  10 -> 22 [size =\"31954944\"]\n  11 [size=\"63651840\", alpha=\"0.04\", expect_size=\"25460736\"] \n  11 -> 19 [size =\"25460736\"]\n  12 [size=\"46425600\", alpha=\"0.16\", expect_size=\"18570240\"] \n  12 -> 18 [size =\"18570240\"]\n  12 -> 21 [size =\"18570240\"]\n  12 -> 23 [size =\"18570240\"]\n  13 [size=\"43635200\", alpha=\"0.03\", expect_size=\"17454080\"] \n  13 -> 23 [size =\"17454080\"]\n  13 -> 24 [size =\"17454080\"]\n  14 [size=\"119818240\", alpha=\"0.13\", expect_size=\"47927296\"] \n  14 -> 18 [size =\"47927296\"]\n  14 -> 20 [size =\"47927296\"]\n  14 -> 21 [size =\"47927296\"]\n  14 -> 24 [size =\"47927296\"]\n  15 [size=\"41891840\", alpha=\"0.10\", expect_size=\"16756736\"] \n  15 -> 20 [size =\"16756736\"]\n  15 -> 23 [size =\"16756736\"]\n  15 -> 24 [size =\"16756736\"]\n  16 [size=\"49172480\", alpha=\"0.18\", expect_size=\"19668992\"] \n  16 -> 22 [size =\"19668992\"]\n  17 [size=\"49825280\", alpha=\"0.09\", expect_size=\"19930112\"] \n  17 -> 19 [size =\"19930112\"]\n  17 -> 22 [size =\"19930112\"]\n  17 -> 24 [size =\"19930112\"]\n  18 [size=\"98027520\", alpha=\"0.10\", expect_size=\"39211008\"] \n  18 -> 25 [size =\"39211008\"]\n  18 -> 26 [size =\"39211008\"]\n  18 -> 27 [size =\"39211008\"]\n  18 -> 28 [size =\"39211008\"]\n  18 -> 29 [size =\"39211008\"]\n  18 -> 30 [size =\"39211008\"]\n  19 [size=\"43742720\", alpha=\"0.11\", expect_size=\"17497088\"] \n  19 -> 25 [size =\"17497088\"]\n  19 -> 26 [size =\"17497088\"]\n  19 -> 27 [size =\"17497088\"]\n  19 -> 28 [size =\"17497088\"]\n  19 -> 29 [size =\"17497088\"]\n  19 -> 30 [size =\"17497088\"]\n  20 [size=\"93524480\", alpha=\"0.16\", expect_size=\"37409792\"] \n  20 -> 25 [size =\"37409792\"]\n  20 -> 26 [size =\"37409792\"]\n  20 -> 27 [size =\"37409792\"]\n  20 -> 28 [size =\"37409792\"]\n  20 -> 29 [size =\"37409792\"]\n  20 -> 30 [size =\"37409792\"]\n  21 [size=\"37516800\", alpha=\"0.11\", expect_size=\"15006720\"] \n  21 -> 25 [size =\"15006720\"]\n  21 -> 27 [size =\"15006720\"]\n  21 -> 28 [size =\"15006720\"]\n  21 -> 29 [size =\"15006720\"]\n  21 -> 30 [size =\"15006720\"]\n  21 -> 30 [size =\"15006720\"]\n  22 [size=\"59330560\", alpha=\"0.07\", expect_size=\"23732224\"] \n  22 -> 25 [size =\"23732224\"]\n  22 -> 26 [size =\"23732224\"]\n  22 -> 27 [size =\"23732224\"]\n  22 -> 28 [size =\"23732224\"]\n  22 -> 29 [size =\"23732224\"]\n  22 -> 30 [size =\"23732224\"]\n  23 [size=\"34744320\", alpha=\"0.14\", expect_size=\"13897728\"] \n  23 -> 25 [size =\"13897728\"]\n  23 -> 26 [size =\"13897728\"]\n  23 -> 27 [size =\"13897728\"]\n  23 -> 28 [size =\"13897728\"]\n  23 -> 29 [size =\"13897728\"]\n  23 -> 30 [size =\"13897728\"]\n  24 [size=\"52889600\", alpha=\"0.19\", expect_size=\"21155840\"] \n  24 -> 25 [size =\"21155840\"]\n  24 -> 27 [size =\"21155840\"]\n  24 -> 28 [size =\"21155840\"]\n  24 -> 29 [size =\"21155840\"]\n  25 [size=\"128309760\", alpha=\"0.13\", expect_size=\"51323904\"] \n  26 [size=\"66585600\", alpha=\"0.18\", expect_size=\"26634240\"] \n  27 [size=\"56704000\", alpha=\"0.13\", expect_size=\"22681600\"] \n  28 [size=\"108039680\", alpha=\"0.15\", expect_size=\"43215872\"] \n  29 [size=\"50311680\", alpha=\"0.19\", expect_size=\"20124672\"] \n  30 [size=\"115957760\", alpha=\"0.15\", expect_size=\"46383104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82022400\", alpha=\"0.02\", expect_size=\"32808960\"] \n  1 -> 3 [size =\"32808960\"]\n  1 -> 4 [size =\"32808960\"]\n  2 [size=\"87477760\", alpha=\"0.15\", expect_size=\"34991104\"] \n  3 [size=\"49856000\", alpha=\"0.00\", expect_size=\"19942400\"] \n  3 -> 5 [size =\"19942400\"]\n  4 [size=\"114831360\", alpha=\"0.12\", expect_size=\"45932544\"] \n  4 -> 6 [size =\"45932544\"]\n  5 [size=\"112294400\", alpha=\"0.00\", expect_size=\"44917760\"] \n  5 -> 7 [size =\"44917760\"]\n  6 [size=\"100541440\", alpha=\"0.07\", expect_size=\"40216576\"] \n  7 [size=\"21831680\", alpha=\"0.15\", expect_size=\"8732672\"] \n  7 -> 8 [size =\"8732672\"]\n  7 -> 9 [size =\"8732672\"]\n  8 [size=\"119802880\", alpha=\"0.01\", expect_size=\"47921152\"] \n  8 -> 10 [size =\"47921152\"]\n  8 -> 11 [size =\"47921152\"]\n  9 [size=\"48993280\", alpha=\"0.13\", expect_size=\"19597312\"] \n  10 [size=\"120545280\", alpha=\"0.17\", expect_size=\"48218112\"] \n  11 [size=\"13726720\", alpha=\"0.16\", expect_size=\"5490688\"] \n  11 -> 12 [size =\"5490688\"]\n  12 [size=\"23528960\", alpha=\"0.15\", expect_size=\"9411584\"] \n  12 -> 13 [size =\"9411584\"]\n  13 [size=\"110330880\", alpha=\"0.19\", expect_size=\"44132352\"] \n  13 -> 14 [size =\"44132352\"]\n  14 [size=\"110653440\", alpha=\"0.02\", expect_size=\"44261376\"] \n  14 -> 15 [size =\"44261376\"]\n  15 [size=\"65886720\", alpha=\"0.04\", expect_size=\"26354688\"] \n  15 -> 16 [size =\"26354688\"]\n  15 -> 17 [size =\"26354688\"]\n  16 [size=\"68513280\", alpha=\"0.17\", expect_size=\"27405312\"] \n  16 -> 18 [size =\"27405312\"]\n  16 -> 19 [size =\"27405312\"]\n  17 [size=\"110141440\", alpha=\"0.20\", expect_size=\"44056576\"] \n  17 -> 19 [size =\"44056576\"]\n  18 [size=\"81300480\", alpha=\"0.01\", expect_size=\"32520192\"] \n  18 -> 20 [size =\"32520192\"]\n  19 [size=\"87073280\", alpha=\"0.03\", expect_size=\"34829312\"] \n  19 -> 20 [size =\"34829312\"]\n  20 [size=\"47336960\", alpha=\"0.04\", expect_size=\"18934784\"] \n  20 -> 21 [size =\"18934784\"]\n  21 [size=\"32483840\", alpha=\"0.16\", expect_size=\"12993536\"] \n  21 -> 22 [size =\"12993536\"]\n  22 [size=\"126609920\", alpha=\"0.01\", expect_size=\"50643968\"] \n  22 -> 23 [size =\"50643968\"]\n  22 -> 24 [size =\"50643968\"]\n  23 [size=\"98472960\", alpha=\"0.12\", expect_size=\"39389184\"] \n  23 -> 25 [size =\"39389184\"]\n  23 -> 26 [size =\"39389184\"]\n  24 [size=\"93335040\", alpha=\"0.00\", expect_size=\"37334016\"] \n  24 -> 25 [size =\"37334016\"]\n  24 -> 26 [size =\"37334016\"]\n  25 [size=\"107962880\", alpha=\"0.05\", expect_size=\"43185152\"] \n  26 [size=\"131054080\", alpha=\"0.05\", expect_size=\"52421632\"] \n  26 -> 27 [size =\"52421632\"]\n  26 -> 28 [size =\"52421632\"]\n  27 [size=\"114429440\", alpha=\"0.06\", expect_size=\"45771776\"] \n  27 -> 29 [size =\"45771776\"]\n  28 [size=\"111856640\", alpha=\"0.06\", expect_size=\"44742656\"] \n  29 [size=\"116922880\", alpha=\"0.11\", expect_size=\"46769152\"] \n  29 -> 30 [size =\"46769152\"]\n  30 [size=\"19366400\", alpha=\"0.15\", expect_size=\"7746560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60293120\", alpha=\"0.07\", expect_size=\"30146560\"] \n  1 -> 2 [size =\"30146560\"]\n  2 [size=\"49893376\", alpha=\"0.05\", expect_size=\"24946688\"] \n  2 -> 3 [size =\"24946688\"]\n  3 [size=\"18030592\", alpha=\"0.10\", expect_size=\"9015296\"] \n  3 -> 4 [size =\"9015296\"]\n  4 [size=\"94732288\", alpha=\"0.16\", expect_size=\"47366144\"] \n  4 -> 5 [size =\"47366144\"]\n  4 -> 6 [size =\"47366144\"]\n  5 [size=\"95531008\", alpha=\"0.11\", expect_size=\"47765504\"] \n  5 -> 7 [size =\"47765504\"]\n  5 -> 8 [size =\"47765504\"]\n  6 [size=\"51376128\", alpha=\"0.20\", expect_size=\"25688064\"] \n  6 -> 7 [size =\"25688064\"]\n  6 -> 8 [size =\"25688064\"]\n  7 [size=\"104759296\", alpha=\"0.07\", expect_size=\"52379648\"] \n  8 [size=\"82888704\", alpha=\"0.17\", expect_size=\"41444352\"] \n  8 -> 9 [size =\"41444352\"]\n  9 [size=\"87357440\", alpha=\"0.16\", expect_size=\"43678720\"] \n  9 -> 10 [size =\"43678720\"]\n  10 [size=\"32686080\", alpha=\"0.14\", expect_size=\"16343040\"] \n  10 -> 11 [size =\"16343040\"]\n  10 -> 12 [size =\"16343040\"]\n  11 [size=\"101367808\", alpha=\"0.04\", expect_size=\"50683904\"] \n  11 -> 13 [size =\"50683904\"]\n  12 [size=\"42059776\", alpha=\"0.18\", expect_size=\"21029888\"] \n  12 -> 13 [size =\"21029888\"]\n  13 [size=\"63758336\", alpha=\"0.02\", expect_size=\"31879168\"] \n  13 -> 14 [size =\"31879168\"]\n  14 [size=\"15519744\", alpha=\"0.12\", expect_size=\"7759872\"] \n  14 -> 15 [size =\"7759872\"]\n  14 -> 16 [size =\"7759872\"]\n  15 [size=\"90398720\", alpha=\"0.03\", expect_size=\"45199360\"] \n  15 -> 17 [size =\"45199360\"]\n  16 [size=\"49041408\", alpha=\"0.15\", expect_size=\"24520704\"] \n  16 -> 17 [size =\"24520704\"]\n  17 [size=\"47562752\", alpha=\"0.09\", expect_size=\"23781376\"] \n  17 -> 18 [size =\"23781376\"]\n  17 -> 19 [size =\"23781376\"]\n  18 [size=\"79022080\", alpha=\"0.04\", expect_size=\"39511040\"] \n  18 -> 20 [size =\"39511040\"]\n  19 [size=\"63551488\", alpha=\"0.10\", expect_size=\"31775744\"] \n  19 -> 20 [size =\"31775744\"]\n  20 [size=\"45139968\", alpha=\"0.08\", expect_size=\"22569984\"] \n  20 -> 21 [size =\"22569984\"]\n  20 -> 22 [size =\"22569984\"]\n  21 [size=\"18880512\", alpha=\"0.17\", expect_size=\"9440256\"] \n  21 -> 23 [size =\"9440256\"]\n  21 -> 24 [size =\"9440256\"]\n  22 [size=\"38574080\", alpha=\"0.14\", expect_size=\"19287040\"] \n  22 -> 23 [size =\"19287040\"]\n  22 -> 24 [size =\"19287040\"]\n  23 [size=\"29192192\", alpha=\"0.12\", expect_size=\"14596096\"] \n  23 -> 25 [size =\"14596096\"]\n  24 [size=\"37206016\", alpha=\"0.08\", expect_size=\"18603008\"] \n  24 -> 25 [size =\"18603008\"]\n  25 [size=\"94074880\", alpha=\"0.03\", expect_size=\"47037440\"] \n  25 -> 26 [size =\"47037440\"]\n  25 -> 27 [size =\"47037440\"]\n  26 [size=\"14870528\", alpha=\"0.06\", expect_size=\"7435264\"] \n  26 -> 29 [size =\"7435264\"]\n  27 [size=\"87500800\", alpha=\"0.09\", expect_size=\"43750400\"] \n  27 -> 28 [size =\"43750400\"]\n  28 [size=\"35424256\", alpha=\"0.07\", expect_size=\"17712128\"] \n  28 -> 30 [size =\"17712128\"]\n  29 [size=\"56186880\", alpha=\"0.01\", expect_size=\"28093440\"] \n  29 -> 30 [size =\"28093440\"]\n  30 [size=\"11079680\", alpha=\"0.01\", expect_size=\"5539840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41441280\", alpha=\"0.13\", expect_size=\"16576512\"] \n  1 -> 2 [size =\"16576512\"]\n  1 -> 3 [size =\"16576512\"]\n  2 [size=\"59404800\", alpha=\"0.08\", expect_size=\"23761920\"] \n  2 -> 5 [size =\"23761920\"]\n  3 [size=\"89881600\", alpha=\"0.19\", expect_size=\"35952640\"] \n  3 -> 4 [size =\"35952640\"]\n  3 -> 5 [size =\"35952640\"]\n  4 [size=\"56778240\", alpha=\"0.13\", expect_size=\"22711296\"] \n  4 -> 6 [size =\"22711296\"]\n  4 -> 7 [size =\"22711296\"]\n  5 [size=\"62750720\", alpha=\"0.05\", expect_size=\"25100288\"] \n  6 [size=\"25167360\", alpha=\"0.14\", expect_size=\"10066944\"] \n  7 [size=\"116436480\", alpha=\"0.18\", expect_size=\"46574592\"] \n  7 -> 8 [size =\"46574592\"]\n  8 [size=\"85777920\", alpha=\"0.10\", expect_size=\"34311168\"] \n  8 -> 9 [size =\"34311168\"]\n  9 [size=\"73648640\", alpha=\"0.00\", expect_size=\"29459456\"] \n  9 -> 10 [size =\"29459456\"]\n  9 -> 11 [size =\"29459456\"]\n  10 [size=\"126848000\", alpha=\"0.09\", expect_size=\"50739200\"] \n  10 -> 12 [size =\"50739200\"]\n  10 -> 13 [size =\"50739200\"]\n  11 [size=\"124700160\", alpha=\"0.17\", expect_size=\"49880064\"] \n  12 [size=\"82048000\", alpha=\"0.19\", expect_size=\"32819200\"] \n  13 [size=\"126784000\", alpha=\"0.02\", expect_size=\"50713600\"] \n  13 -> 14 [size =\"50713600\"]\n  14 [size=\"123676160\", alpha=\"0.14\", expect_size=\"49470464\"] \n  14 -> 15 [size =\"49470464\"]\n  14 -> 16 [size =\"49470464\"]\n  15 [size=\"79754240\", alpha=\"0.19\", expect_size=\"31901696\"] \n  16 [size=\"108236800\", alpha=\"0.07\", expect_size=\"43294720\"] \n  16 -> 17 [size =\"43294720\"]\n  17 [size=\"74636800\", alpha=\"0.04\", expect_size=\"29854720\"] \n  17 -> 18 [size =\"29854720\"]\n  17 -> 19 [size =\"29854720\"]\n  18 [size=\"61849600\", alpha=\"0.10\", expect_size=\"24739840\"] \n  18 -> 20 [size =\"24739840\"]\n  18 -> 21 [size =\"24739840\"]\n  19 [size=\"118860800\", alpha=\"0.07\", expect_size=\"47544320\"] \n  19 -> 20 [size =\"47544320\"]\n  20 [size=\"120424960\", alpha=\"0.01\", expect_size=\"48169984\"] \n  20 -> 22 [size =\"48169984\"]\n  21 [size=\"56913920\", alpha=\"0.20\", expect_size=\"22765568\"] \n  21 -> 22 [size =\"22765568\"]\n  21 -> 23 [size =\"22765568\"]\n  22 [size=\"37201920\", alpha=\"0.06\", expect_size=\"14880768\"] \n  22 -> 24 [size =\"14880768\"]\n  23 [size=\"30722560\", alpha=\"0.06\", expect_size=\"12289024\"] \n  23 -> 25 [size =\"12289024\"]\n  24 [size=\"41630720\", alpha=\"0.13\", expect_size=\"16652288\"] \n  25 [size=\"124958720\", alpha=\"0.08\", expect_size=\"49983488\"] \n  25 -> 26 [size =\"49983488\"]\n  26 [size=\"119114240\", alpha=\"0.06\", expect_size=\"47645696\"] \n  26 -> 27 [size =\"47645696\"]\n  26 -> 28 [size =\"47645696\"]\n  27 [size=\"40104960\", alpha=\"0.01\", expect_size=\"16041984\"] \n  28 [size=\"66288640\", alpha=\"0.08\", expect_size=\"26515456\"] \n  28 -> 29 [size =\"26515456\"]\n  29 [size=\"123028480\", alpha=\"0.05\", expect_size=\"49211392\"] \n  29 -> 30 [size =\"49211392\"]\n  30 [size=\"45834240\", alpha=\"0.02\", expect_size=\"18333696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46970880\", alpha=\"0.08\", expect_size=\"18788352\"] \n  1 -> 5 [size =\"18788352\"]\n  1 -> 6 [size =\"18788352\"]\n  2 [size=\"62085120\", alpha=\"0.04\", expect_size=\"24834048\"] \n  2 -> 5 [size =\"24834048\"]\n  2 -> 7 [size =\"24834048\"]\n  3 [size=\"14640640\", alpha=\"0.04\", expect_size=\"5856256\"] \n  3 -> 6 [size =\"5856256\"]\n  3 -> 8 [size =\"5856256\"]\n  4 [size=\"128343040\", alpha=\"0.11\", expect_size=\"51337216\"] \n  4 -> 5 [size =\"51337216\"]\n  5 [size=\"74001920\", alpha=\"0.06\", expect_size=\"29600768\"] \n  6 [size=\"113958400\", alpha=\"0.12\", expect_size=\"45583360\"] \n  6 -> 10 [size =\"45583360\"]\n  6 -> 11 [size =\"45583360\"]\n  7 [size=\"80087040\", alpha=\"0.01\", expect_size=\"32034816\"] \n  7 -> 9 [size =\"32034816\"]\n  7 -> 12 [size =\"32034816\"]\n  8 [size=\"41771520\", alpha=\"0.07\", expect_size=\"16708608\"] \n  9 [size=\"95669760\", alpha=\"0.03\", expect_size=\"38267904\"] \n  9 -> 13 [size =\"38267904\"]\n  9 -> 16 [size =\"38267904\"]\n  9 -> 17 [size =\"38267904\"]\n  10 [size=\"96202240\", alpha=\"0.13\", expect_size=\"38480896\"] \n  10 -> 13 [size =\"38480896\"]\n  10 -> 14 [size =\"38480896\"]\n  10 -> 15 [size =\"38480896\"]\n  10 -> 16 [size =\"38480896\"]\n  11 [size=\"49361920\", alpha=\"0.01\", expect_size=\"19744768\"] \n  11 -> 14 [size =\"19744768\"]\n  12 [size=\"95050240\", alpha=\"0.05\", expect_size=\"38020096\"] \n  12 -> 13 [size =\"38020096\"]\n  12 -> 15 [size =\"38020096\"]\n  13 [size=\"119874560\", alpha=\"0.02\", expect_size=\"47949824\"] \n  13 -> 19 [size =\"47949824\"]\n  13 -> 20 [size =\"47949824\"]\n  14 [size=\"25064960\", alpha=\"0.20\", expect_size=\"10025984\"] \n  14 -> 20 [size =\"10025984\"]\n  15 [size=\"91788800\", alpha=\"0.05\", expect_size=\"36715520\"] \n  15 -> 18 [size =\"36715520\"]\n  15 -> 19 [size =\"36715520\"]\n  16 [size=\"127188480\", alpha=\"0.01\", expect_size=\"50875392\"] \n  16 -> 18 [size =\"50875392\"]\n  17 [size=\"81377280\", alpha=\"0.09\", expect_size=\"32550912\"] \n  17 -> 21 [size =\"32550912\"]\n  18 [size=\"88179200\", alpha=\"0.16\", expect_size=\"35271680\"] \n  18 -> 23 [size =\"35271680\"]\n  18 -> 24 [size =\"35271680\"]\n  18 -> 25 [size =\"35271680\"]\n  19 [size=\"126535680\", alpha=\"0.07\", expect_size=\"50614272\"] \n  19 -> 24 [size =\"50614272\"]\n  19 -> 25 [size =\"50614272\"]\n  20 [size=\"25886720\", alpha=\"0.07\", expect_size=\"10354688\"] \n  21 [size=\"101675520\", alpha=\"0.13\", expect_size=\"40670208\"] \n  21 -> 22 [size =\"40670208\"]\n  22 [size=\"107778560\", alpha=\"0.07\", expect_size=\"43111424\"] \n  23 [size=\"19453440\", alpha=\"0.01\", expect_size=\"7781376\"] \n  24 [size=\"33730560\", alpha=\"0.15\", expect_size=\"13492224\"] \n  24 -> 26 [size =\"13492224\"]\n  24 -> 28 [size =\"13492224\"]\n  24 -> 29 [size =\"13492224\"]\n  25 [size=\"32394240\", alpha=\"0.19\", expect_size=\"12957696\"] \n  25 -> 26 [size =\"12957696\"]\n  25 -> 27 [size =\"12957696\"]\n  25 -> 28 [size =\"12957696\"]\n  26 [size=\"60093440\", alpha=\"0.20\", expect_size=\"24037376\"] \n  26 -> 30 [size =\"24037376\"]\n  27 [size=\"68620800\", alpha=\"0.12\", expect_size=\"27448320\"] \n  28 [size=\"120023040\", alpha=\"0.09\", expect_size=\"48009216\"] \n  28 -> 30 [size =\"48009216\"]\n  29 [size=\"95718400\", alpha=\"0.01\", expect_size=\"38287360\"] \n  30 [size=\"21506560\", alpha=\"0.06\", expect_size=\"8602624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32266240\", alpha=\"0.13\", expect_size=\"9679872\"] \n  1 -> 2 [size =\"9679872\"]\n  2 [size=\"83329707\", alpha=\"0.10\", expect_size=\"24998912\"] \n  2 -> 3 [size =\"24998912\"]\n  3 [size=\"139520000\", alpha=\"0.14\", expect_size=\"41856000\"] \n  3 -> 4 [size =\"41856000\"]\n  4 [size=\"123566080\", alpha=\"0.02\", expect_size=\"37069824\"] \n  4 -> 5 [size =\"37069824\"]\n  5 [size=\"161208320\", alpha=\"0.18\", expect_size=\"48362496\"] \n  5 -> 6 [size =\"48362496\"]\n  6 [size=\"160614400\", alpha=\"0.20\", expect_size=\"48184320\"] \n  6 -> 7 [size =\"48184320\"]\n  7 [size=\"161402880\", alpha=\"0.07\", expect_size=\"48420864\"] \n  7 -> 8 [size =\"48420864\"]\n  8 [size=\"107915947\", alpha=\"0.01\", expect_size=\"32374784\"] \n  8 -> 9 [size =\"32374784\"]\n  9 [size=\"122910720\", alpha=\"0.03\", expect_size=\"36873216\"] \n  9 -> 10 [size =\"36873216\"]\n  10 [size=\"120463360\", alpha=\"0.07\", expect_size=\"36139008\"] \n  10 -> 11 [size =\"36139008\"]\n  11 [size=\"20804267\", alpha=\"0.12\", expect_size=\"6241280\"] \n  11 -> 12 [size =\"6241280\"]\n  12 [size=\"122678613\", alpha=\"0.05\", expect_size=\"36803584\"] \n  12 -> 13 [size =\"36803584\"]\n  13 [size=\"46885547\", alpha=\"0.13\", expect_size=\"14065664\"] \n  13 -> 14 [size =\"14065664\"]\n  14 [size=\"158324053\", alpha=\"0.03\", expect_size=\"47497216\"] \n  14 -> 15 [size =\"47497216\"]\n  15 [size=\"18599253\", alpha=\"0.02\", expect_size=\"5579776\"] \n  15 -> 16 [size =\"5579776\"]\n  16 [size=\"163618133\", alpha=\"0.08\", expect_size=\"49085440\"] \n  16 -> 17 [size =\"49085440\"]\n  17 [size=\"160044373\", alpha=\"0.18\", expect_size=\"48013312\"] \n  17 -> 18 [size =\"48013312\"]\n  18 [size=\"59668480\", alpha=\"0.16\", expect_size=\"17900544\"] \n  18 -> 19 [size =\"17900544\"]\n  19 [size=\"69447680\", alpha=\"0.10\", expect_size=\"20834304\"] \n  19 -> 20 [size =\"20834304\"]\n  20 [size=\"89344000\", alpha=\"0.18\", expect_size=\"26803200\"] \n  20 -> 21 [size =\"26803200\"]\n  21 [size=\"146397867\", alpha=\"0.09\", expect_size=\"43919360\"] \n  21 -> 22 [size =\"43919360\"]\n  22 [size=\"80762880\", alpha=\"0.08\", expect_size=\"24228864\"] \n  22 -> 23 [size =\"24228864\"]\n  23 [size=\"122303147\", alpha=\"0.02\", expect_size=\"36690944\"] \n  23 -> 24 [size =\"36690944\"]\n  24 [size=\"69294080\", alpha=\"0.10\", expect_size=\"20788224\"] \n  24 -> 25 [size =\"20788224\"]\n  25 [size=\"91381760\", alpha=\"0.17\", expect_size=\"27414528\"] \n  25 -> 26 [size =\"27414528\"]\n  26 [size=\"110301867\", alpha=\"0.01\", expect_size=\"33090560\"] \n  26 -> 27 [size =\"33090560\"]\n  27 [size=\"171612160\", alpha=\"0.04\", expect_size=\"51483648\"] \n  27 -> 28 [size =\"51483648\"]\n  28 [size=\"158170453\", alpha=\"0.18\", expect_size=\"47451136\"] \n  28 -> 29 [size =\"47451136\"]\n  29 [size=\"126023680\", alpha=\"0.06\", expect_size=\"37807104\"] \n  29 -> 30 [size =\"37807104\"]\n  30 [size=\"43560960\", alpha=\"0.07\", expect_size=\"13068288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44922880\", alpha=\"0.15\", expect_size=\"17969152\"] \n  1 -> 8 [size =\"17969152\"]\n  2 [size=\"61388800\", alpha=\"0.16\", expect_size=\"24555520\"] \n  2 -> 6 [size =\"24555520\"]\n  3 [size=\"60129280\", alpha=\"0.14\", expect_size=\"24051712\"] \n  3 -> 7 [size =\"24051712\"]\n  3 -> 9 [size =\"24051712\"]\n  4 [size=\"60321280\", alpha=\"0.02\", expect_size=\"24128512\"] \n  4 -> 7 [size =\"24128512\"]\n  4 -> 9 [size =\"24128512\"]\n  5 [size=\"35095040\", alpha=\"0.19\", expect_size=\"14038016\"] \n  5 -> 8 [size =\"14038016\"]\n  5 -> 9 [size =\"14038016\"]\n  5 -> 10 [size =\"14038016\"]\n  6 [size=\"81520640\", alpha=\"0.05\", expect_size=\"32608256\"] \n  6 -> 11 [size =\"32608256\"]\n  6 -> 12 [size =\"32608256\"]\n  6 -> 14 [size =\"32608256\"]\n  7 [size=\"130106880\", alpha=\"0.02\", expect_size=\"52042752\"] \n  7 -> 11 [size =\"52042752\"]\n  7 -> 12 [size =\"52042752\"]\n  8 [size=\"117399040\", alpha=\"0.16\", expect_size=\"46959616\"] \n  8 -> 15 [size =\"46959616\"]\n  9 [size=\"81200640\", alpha=\"0.14\", expect_size=\"32480256\"] \n  9 -> 13 [size =\"32480256\"]\n  9 -> 15 [size =\"32480256\"]\n  9 -> 16 [size =\"32480256\"]\n  9 -> 17 [size =\"32480256\"]\n  10 [size=\"92160000\", alpha=\"0.20\", expect_size=\"36864000\"] \n  10 -> 11 [size =\"36864000\"]\n  10 -> 13 [size =\"36864000\"]\n  10 -> 15 [size =\"36864000\"]\n  10 -> 16 [size =\"36864000\"]\n  10 -> 17 [size =\"36864000\"]\n  11 [size=\"24808960\", alpha=\"0.10\", expect_size=\"9923584\"] \n  11 -> 18 [size =\"9923584\"]\n  11 -> 19 [size =\"9923584\"]\n  12 [size=\"111569920\", alpha=\"0.01\", expect_size=\"44627968\"] \n  13 [size=\"86812160\", alpha=\"0.10\", expect_size=\"34724864\"] \n  13 -> 18 [size =\"34724864\"]\n  14 [size=\"50385920\", alpha=\"0.00\", expect_size=\"20154368\"] \n  15 [size=\"64616960\", alpha=\"0.06\", expect_size=\"25846784\"] \n  15 -> 18 [size =\"25846784\"]\n  16 [size=\"57512960\", alpha=\"0.12\", expect_size=\"23005184\"] \n  17 [size=\"84467200\", alpha=\"0.10\", expect_size=\"33786880\"] \n  17 -> 18 [size =\"33786880\"]\n  17 -> 19 [size =\"33786880\"]\n  18 [size=\"97809920\", alpha=\"0.19\", expect_size=\"39123968\"] \n  18 -> 20 [size =\"39123968\"]\n  18 -> 21 [size =\"39123968\"]\n  18 -> 23 [size =\"39123968\"]\n  18 -> 25 [size =\"39123968\"]\n  19 [size=\"72314880\", alpha=\"0.20\", expect_size=\"28925952\"] \n  19 -> 22 [size =\"28925952\"]\n  19 -> 24 [size =\"28925952\"]\n  20 [size=\"37598720\", alpha=\"0.16\", expect_size=\"15039488\"] \n  20 -> 27 [size =\"15039488\"]\n  21 [size=\"37002240\", alpha=\"0.17\", expect_size=\"14800896\"] \n  21 -> 27 [size =\"14800896\"]\n  21 -> 28 [size =\"14800896\"]\n  22 [size=\"95155200\", alpha=\"0.06\", expect_size=\"38062080\"] \n  23 [size=\"100160000\", alpha=\"0.03\", expect_size=\"40064000\"] \n  24 [size=\"41840640\", alpha=\"0.08\", expect_size=\"16736256\"] \n  24 -> 26 [size =\"16736256\"]\n  24 -> 27 [size =\"16736256\"]\n  25 [size=\"44177920\", alpha=\"0.17\", expect_size=\"17671168\"] \n  26 [size=\"79738880\", alpha=\"0.18\", expect_size=\"31895552\"] \n  26 -> 29 [size =\"31895552\"]\n  27 [size=\"33927680\", alpha=\"0.18\", expect_size=\"13571072\"] \n  27 -> 30 [size =\"13571072\"]\n  28 [size=\"90900480\", alpha=\"0.16\", expect_size=\"36360192\"] \n  28 -> 29 [size =\"36360192\"]\n  28 -> 30 [size =\"36360192\"]\n  29 [size=\"83599360\", alpha=\"0.06\", expect_size=\"33439744\"] \n  30 [size=\"82803200\", alpha=\"0.09\", expect_size=\"33121280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60276736\", alpha=\"0.02\", expect_size=\"30138368\"] \n  2 [size=\"32327680\", alpha=\"0.17\", expect_size=\"16163840\"] \n  3 [size=\"68028416\", alpha=\"0.19\", expect_size=\"34014208\"] \n  4 [size=\"92977152\", alpha=\"0.00\", expect_size=\"46488576\"] \n  5 [size=\"99901440\", alpha=\"0.15\", expect_size=\"49950720\"] \n  5 -> 30 [size =\"49950720\"]\n  6 [size=\"61835264\", alpha=\"0.10\", expect_size=\"30917632\"] \n  7 [size=\"98072576\", alpha=\"0.20\", expect_size=\"49036288\"] \n  8 [size=\"62828544\", alpha=\"0.19\", expect_size=\"31414272\"] \n  9 [size=\"38199296\", alpha=\"0.02\", expect_size=\"19099648\"] \n  10 [size=\"18640896\", alpha=\"0.20\", expect_size=\"9320448\"] \n  11 [size=\"58943488\", alpha=\"0.14\", expect_size=\"29471744\"] \n  12 [size=\"68268032\", alpha=\"0.17\", expect_size=\"34134016\"] \n  13 [size=\"55175168\", alpha=\"0.06\", expect_size=\"27587584\"] \n  14 [size=\"48578560\", alpha=\"0.07\", expect_size=\"24289280\"] \n  15 [size=\"49000448\", alpha=\"0.10\", expect_size=\"24500224\"] \n  16 [size=\"26947584\", alpha=\"0.20\", expect_size=\"13473792\"] \n  16 -> 30 [size =\"13473792\"]\n  17 [size=\"75415552\", alpha=\"0.01\", expect_size=\"37707776\"] \n  18 [size=\"74455040\", alpha=\"0.15\", expect_size=\"37227520\"] \n  19 [size=\"70262784\", alpha=\"0.15\", expect_size=\"35131392\"] \n  20 [size=\"77367296\", alpha=\"0.05\", expect_size=\"38683648\"] \n  21 [size=\"76075008\", alpha=\"0.06\", expect_size=\"38037504\"] \n  22 [size=\"49713152\", alpha=\"0.12\", expect_size=\"24856576\"] \n  23 [size=\"37748736\", alpha=\"0.10\", expect_size=\"18874368\"] \n  24 [size=\"64139264\", alpha=\"0.05\", expect_size=\"32069632\"] \n  24 -> 30 [size =\"32069632\"]\n  25 [size=\"99459072\", alpha=\"0.19\", expect_size=\"49729536\"] \n  26 [size=\"51032064\", alpha=\"0.04\", expect_size=\"25516032\"] \n  27 [size=\"50694144\", alpha=\"0.08\", expect_size=\"25347072\"] \n  28 [size=\"55177216\", alpha=\"0.03\", expect_size=\"27588608\"] \n  29 [size=\"30494720\", alpha=\"0.03\", expect_size=\"15247360\"] \n  30 [size=\"100921344\", alpha=\"0.06\", expect_size=\"50460672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138895360\", alpha=\"0.20\", expect_size=\"41668608\"] \n  1 -> 2 [size =\"41668608\"]\n  2 [size=\"160535893\", alpha=\"0.09\", expect_size=\"48160768\"] \n  2 -> 3 [size =\"48160768\"]\n  3 [size=\"110025387\", alpha=\"0.09\", expect_size=\"33007616\"] \n  3 -> 4 [size =\"33007616\"]\n  4 [size=\"67215360\", alpha=\"0.08\", expect_size=\"20164608\"] \n  4 -> 5 [size =\"20164608\"]\n  5 [size=\"99706880\", alpha=\"0.10\", expect_size=\"29912064\"] \n  5 -> 6 [size =\"29912064\"]\n  6 [size=\"169110187\", alpha=\"0.13\", expect_size=\"50733056\"] \n  6 -> 7 [size =\"50733056\"]\n  7 [size=\"25265493\", alpha=\"0.20\", expect_size=\"7579648\"] \n  7 -> 8 [size =\"7579648\"]\n  8 [size=\"39147520\", alpha=\"0.18\", expect_size=\"11744256\"] \n  8 -> 9 [size =\"11744256\"]\n  9 [size=\"88753493\", alpha=\"0.07\", expect_size=\"26626048\"] \n  9 -> 10 [size =\"26626048\"]\n  10 [size=\"125767680\", alpha=\"0.12\", expect_size=\"37730304\"] \n  10 -> 11 [size =\"37730304\"]\n  11 [size=\"84937387\", alpha=\"0.10\", expect_size=\"25481216\"] \n  11 -> 12 [size =\"25481216\"]\n  12 [size=\"84701867\", alpha=\"0.06\", expect_size=\"25410560\"] \n  12 -> 13 [size =\"25410560\"]\n  13 [size=\"158781440\", alpha=\"0.09\", expect_size=\"47634432\"] \n  13 -> 14 [size =\"47634432\"]\n  14 [size=\"68935680\", alpha=\"0.04\", expect_size=\"20680704\"] \n  14 -> 15 [size =\"20680704\"]\n  15 [size=\"129536000\", alpha=\"0.17\", expect_size=\"38860800\"] \n  15 -> 16 [size =\"38860800\"]\n  16 [size=\"51189760\", alpha=\"0.11\", expect_size=\"15356928\"] \n  16 -> 17 [size =\"15356928\"]\n  17 [size=\"152053760\", alpha=\"0.03\", expect_size=\"45616128\"] \n  17 -> 18 [size =\"45616128\"]\n  18 [size=\"150459733\", alpha=\"0.08\", expect_size=\"45137920\"] \n  18 -> 19 [size =\"45137920\"]\n  19 [size=\"134471680\", alpha=\"0.06\", expect_size=\"40341504\"] \n  19 -> 20 [size =\"40341504\"]\n  20 [size=\"28702720\", alpha=\"0.03\", expect_size=\"8610816\"] \n  20 -> 21 [size =\"8610816\"]\n  21 [size=\"123886933\", alpha=\"0.15\", expect_size=\"37166080\"] \n  21 -> 22 [size =\"37166080\"]\n  22 [size=\"47308800\", alpha=\"0.06\", expect_size=\"14192640\"] \n  22 -> 23 [size =\"14192640\"]\n  23 [size=\"94306987\", alpha=\"0.08\", expect_size=\"28292096\"] \n  23 -> 24 [size =\"28292096\"]\n  24 [size=\"167092907\", alpha=\"0.16\", expect_size=\"50127872\"] \n  24 -> 25 [size =\"50127872\"]\n  25 [size=\"42359467\", alpha=\"0.15\", expect_size=\"12707840\"] \n  25 -> 26 [size =\"12707840\"]\n  26 [size=\"19377493\", alpha=\"0.13\", expect_size=\"5813248\"] \n  26 -> 27 [size =\"5813248\"]\n  27 [size=\"104209067\", alpha=\"0.13\", expect_size=\"31262720\"] \n  27 -> 28 [size =\"31262720\"]\n  28 [size=\"124518400\", alpha=\"0.14\", expect_size=\"37355520\"] \n  28 -> 29 [size =\"37355520\"]\n  29 [size=\"28392107\", alpha=\"0.06\", expect_size=\"8517632\"] \n  29 -> 30 [size =\"8517632\"]\n  30 [size=\"77397333\", alpha=\"0.10\", expect_size=\"23219200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55179947\", alpha=\"0.17\", expect_size=\"16553984\"] \n  1 -> 27 [size =\"16553984\"]\n  1 -> 30 [size =\"16553984\"]\n  2 [size=\"114476373\", alpha=\"0.01\", expect_size=\"34342912\"] \n  2 -> 30 [size =\"34342912\"]\n  3 [size=\"148684800\", alpha=\"0.09\", expect_size=\"44605440\"] \n  3 -> 29 [size =\"44605440\"]\n  4 [size=\"21384533\", alpha=\"0.14\", expect_size=\"6415360\"] \n  4 -> 27 [size =\"6415360\"]\n  5 [size=\"161839787\", alpha=\"0.20\", expect_size=\"48551936\"] \n  5 -> 27 [size =\"48551936\"]\n  6 [size=\"34146987\", alpha=\"0.13\", expect_size=\"10244096\"] \n  6 -> 26 [size =\"10244096\"]\n  6 -> 28 [size =\"10244096\"]\n  6 -> 29 [size =\"10244096\"]\n  7 [size=\"52609707\", alpha=\"0.06\", expect_size=\"15782912\"] \n  7 -> 26 [size =\"15782912\"]\n  7 -> 27 [size =\"15782912\"]\n  8 [size=\"103372800\", alpha=\"0.18\", expect_size=\"31011840\"] \n  8 -> 26 [size =\"31011840\"]\n  9 [size=\"118299307\", alpha=\"0.19\", expect_size=\"35489792\"] \n  9 -> 26 [size =\"35489792\"]\n  9 -> 30 [size =\"35489792\"]\n  10 [size=\"72762027\", alpha=\"0.16\", expect_size=\"21828608\"] \n  10 -> 27 [size =\"21828608\"]\n  11 [size=\"85493760\", alpha=\"0.16\", expect_size=\"25648128\"] \n  12 [size=\"59794773\", alpha=\"0.18\", expect_size=\"17938432\"] \n  12 -> 26 [size =\"17938432\"]\n  12 -> 28 [size =\"17938432\"]\n  13 [size=\"66590720\", alpha=\"0.03\", expect_size=\"19977216\"] \n  13 -> 26 [size =\"19977216\"]\n  13 -> 28 [size =\"19977216\"]\n  14 [size=\"140506453\", alpha=\"0.07\", expect_size=\"42151936\"] \n  14 -> 26 [size =\"42151936\"]\n  14 -> 27 [size =\"42151936\"]\n  15 [size=\"95464107\", alpha=\"0.16\", expect_size=\"28639232\"] \n  15 -> 26 [size =\"28639232\"]\n  15 -> 27 [size =\"28639232\"]\n  15 -> 29 [size =\"28639232\"]\n  16 [size=\"94665387\", alpha=\"0.02\", expect_size=\"28399616\"] \n  16 -> 27 [size =\"28399616\"]\n  16 -> 28 [size =\"28399616\"]\n  17 [size=\"41697280\", alpha=\"0.07\", expect_size=\"12509184\"] \n  17 -> 27 [size =\"12509184\"]\n  17 -> 29 [size =\"12509184\"]\n  18 [size=\"89429333\", alpha=\"0.19\", expect_size=\"26828800\"] \n  18 -> 26 [size =\"26828800\"]\n  18 -> 27 [size =\"26828800\"]\n  18 -> 29 [size =\"26828800\"]\n  19 [size=\"69802667\", alpha=\"0.15\", expect_size=\"20940800\"] \n  19 -> 26 [size =\"20940800\"]\n  19 -> 27 [size =\"20940800\"]\n  20 [size=\"61597013\", alpha=\"0.15\", expect_size=\"18479104\"] \n  20 -> 26 [size =\"18479104\"]\n  20 -> 28 [size =\"18479104\"]\n  21 [size=\"28921173\", alpha=\"0.19\", expect_size=\"8676352\"] \n  21 -> 28 [size =\"8676352\"]\n  22 [size=\"155835733\", alpha=\"0.16\", expect_size=\"46750720\"] \n  22 -> 28 [size =\"46750720\"]\n  23 [size=\"140639573\", alpha=\"0.10\", expect_size=\"42191872\"] \n  23 -> 26 [size =\"42191872\"]\n  23 -> 27 [size =\"42191872\"]\n  23 -> 28 [size =\"42191872\"]\n  24 [size=\"163990187\", alpha=\"0.04\", expect_size=\"49197056\"] \n  24 -> 26 [size =\"49197056\"]\n  24 -> 27 [size =\"49197056\"]\n  24 -> 28 [size =\"49197056\"]\n  24 -> 29 [size =\"49197056\"]\n  25 [size=\"61494613\", alpha=\"0.16\", expect_size=\"18448384\"] \n  25 -> 27 [size =\"18448384\"]\n  25 -> 28 [size =\"18448384\"]\n  25 -> 28 [size =\"18448384\"]\n  26 [size=\"30003200\", alpha=\"0.11\", expect_size=\"9000960\"] \n  27 [size=\"43052373\", alpha=\"0.10\", expect_size=\"12915712\"] \n  28 [size=\"98481493\", alpha=\"0.00\", expect_size=\"29544448\"] \n  29 [size=\"92808533\", alpha=\"0.03\", expect_size=\"27842560\"] \n  30 [size=\"54582613\", alpha=\"0.13\", expect_size=\"16374784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70840320\", alpha=\"0.18\", expect_size=\"35420160\"] \n  1 -> 5 [size =\"35420160\"]\n  1 -> 6 [size =\"35420160\"]\n  1 -> 8 [size =\"35420160\"]\n  2 [size=\"57335808\", alpha=\"0.10\", expect_size=\"28667904\"] \n  2 -> 5 [size =\"28667904\"]\n  2 -> 7 [size =\"28667904\"]\n  2 -> 8 [size =\"28667904\"]\n  3 [size=\"88465408\", alpha=\"0.08\", expect_size=\"44232704\"] \n  3 -> 5 [size =\"44232704\"]\n  3 -> 6 [size =\"44232704\"]\n  3 -> 8 [size =\"44232704\"]\n  4 [size=\"45318144\", alpha=\"0.14\", expect_size=\"22659072\"] \n  4 -> 5 [size =\"22659072\"]\n  4 -> 8 [size =\"22659072\"]\n  5 [size=\"57681920\", alpha=\"0.08\", expect_size=\"28840960\"] \n  5 -> 10 [size =\"28840960\"]\n  5 -> 11 [size =\"28840960\"]\n  5 -> 12 [size =\"28840960\"]\n  6 [size=\"31711232\", alpha=\"0.12\", expect_size=\"15855616\"] \n  6 -> 10 [size =\"15855616\"]\n  6 -> 12 [size =\"15855616\"]\n  7 [size=\"43776000\", alpha=\"0.04\", expect_size=\"21888000\"] \n  7 -> 9 [size =\"21888000\"]\n  7 -> 10 [size =\"21888000\"]\n  7 -> 12 [size =\"21888000\"]\n  8 [size=\"25157632\", alpha=\"0.15\", expect_size=\"12578816\"] \n  8 -> 10 [size =\"12578816\"]\n  8 -> 11 [size =\"12578816\"]\n  8 -> 12 [size =\"12578816\"]\n  9 [size=\"31330304\", alpha=\"0.02\", expect_size=\"15665152\"] \n  9 -> 14 [size =\"15665152\"]\n  9 -> 15 [size =\"15665152\"]\n  9 -> 16 [size =\"15665152\"]\n  10 [size=\"93605888\", alpha=\"0.13\", expect_size=\"46802944\"] \n  10 -> 13 [size =\"46802944\"]\n  10 -> 15 [size =\"46802944\"]\n  10 -> 16 [size =\"46802944\"]\n  10 -> 17 [size =\"46802944\"]\n  11 [size=\"29851648\", alpha=\"0.02\", expect_size=\"14925824\"] \n  11 -> 13 [size =\"14925824\"]\n  11 -> 15 [size =\"14925824\"]\n  11 -> 16 [size =\"14925824\"]\n  12 [size=\"22427648\", alpha=\"0.19\", expect_size=\"11213824\"] \n  12 -> 14 [size =\"11213824\"]\n  12 -> 15 [size =\"11213824\"]\n  12 -> 16 [size =\"11213824\"]\n  13 [size=\"70623232\", alpha=\"0.07\", expect_size=\"35311616\"] \n  13 -> 18 [size =\"35311616\"]\n  13 -> 19 [size =\"35311616\"]\n  13 -> 20 [size =\"35311616\"]\n  13 -> 21 [size =\"35311616\"]\n  13 -> 22 [size =\"35311616\"]\n  14 [size=\"12138496\", alpha=\"0.00\", expect_size=\"6069248\"] \n  14 -> 19 [size =\"6069248\"]\n  14 -> 22 [size =\"6069248\"]\n  15 [size=\"76406784\", alpha=\"0.18\", expect_size=\"38203392\"] \n  15 -> 18 [size =\"38203392\"]\n  15 -> 20 [size =\"38203392\"]\n  15 -> 22 [size =\"38203392\"]\n  16 [size=\"18966528\", alpha=\"0.04\", expect_size=\"9483264\"] \n  16 -> 18 [size =\"9483264\"]\n  16 -> 20 [size =\"9483264\"]\n  16 -> 21 [size =\"9483264\"]\n  16 -> 22 [size =\"9483264\"]\n  17 [size=\"74321920\", alpha=\"0.15\", expect_size=\"37160960\"] \n  17 -> 18 [size =\"37160960\"]\n  17 -> 20 [size =\"37160960\"]\n  17 -> 21 [size =\"37160960\"]\n  17 -> 22 [size =\"37160960\"]\n  18 [size=\"93452288\", alpha=\"0.15\", expect_size=\"46726144\"] \n  18 -> 23 [size =\"46726144\"]\n  19 [size=\"69173248\", alpha=\"0.04\", expect_size=\"34586624\"] \n  19 -> 23 [size =\"34586624\"]\n  19 -> 25 [size =\"34586624\"]\n  19 -> 27 [size =\"34586624\"]\n  20 [size=\"77821952\", alpha=\"0.06\", expect_size=\"38910976\"] \n  20 -> 23 [size =\"38910976\"]\n  20 -> 24 [size =\"38910976\"]\n  20 -> 26 [size =\"38910976\"]\n  21 [size=\"45230080\", alpha=\"0.01\", expect_size=\"22615040\"] \n  21 -> 23 [size =\"22615040\"]\n  21 -> 25 [size =\"22615040\"]\n  22 [size=\"55177216\", alpha=\"0.06\", expect_size=\"27588608\"] \n  22 -> 23 [size =\"27588608\"]\n  22 -> 25 [size =\"27588608\"]\n  22 -> 27 [size =\"27588608\"]\n  23 [size=\"51474432\", alpha=\"0.08\", expect_size=\"25737216\"] \n  23 -> 28 [size =\"25737216\"]\n  23 -> 29 [size =\"25737216\"]\n  23 -> 30 [size =\"25737216\"]\n  24 [size=\"86380544\", alpha=\"0.17\", expect_size=\"43190272\"] \n  24 -> 29 [size =\"43190272\"]\n  24 -> 29 [size =\"43190272\"]\n  25 [size=\"87711744\", alpha=\"0.16\", expect_size=\"43855872\"] \n  25 -> 29 [size =\"43855872\"]\n  25 -> 30 [size =\"43855872\"]\n  26 [size=\"77705216\", alpha=\"0.20\", expect_size=\"38852608\"] \n  26 -> 30 [size =\"38852608\"]\n  27 [size=\"96247808\", alpha=\"0.10\", expect_size=\"48123904\"] \n  27 -> 28 [size =\"48123904\"]\n  27 -> 30 [size =\"48123904\"]\n  28 [size=\"74934272\", alpha=\"0.04\", expect_size=\"37467136\"] \n  29 [size=\"53608448\", alpha=\"0.02\", expect_size=\"26804224\"] \n  30 [size=\"71096320\", alpha=\"0.18\", expect_size=\"35548160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66404352\", alpha=\"0.18\", expect_size=\"33202176\"] \n  1 -> 2 [size =\"33202176\"]\n  1 -> 3 [size =\"33202176\"]\n  2 [size=\"83255296\", alpha=\"0.07\", expect_size=\"41627648\"] \n  3 [size=\"58310656\", alpha=\"0.07\", expect_size=\"29155328\"] \n  3 -> 4 [size =\"29155328\"]\n  3 -> 5 [size =\"29155328\"]\n  4 [size=\"28176384\", alpha=\"0.10\", expect_size=\"14088192\"] \n  5 [size=\"77582336\", alpha=\"0.10\", expect_size=\"38791168\"] \n  5 -> 6 [size =\"38791168\"]\n  6 [size=\"68165632\", alpha=\"0.01\", expect_size=\"34082816\"] \n  6 -> 7 [size =\"34082816\"]\n  6 -> 8 [size =\"34082816\"]\n  7 [size=\"78979072\", alpha=\"0.04\", expect_size=\"39489536\"] \n  7 -> 9 [size =\"39489536\"]\n  8 [size=\"84291584\", alpha=\"0.13\", expect_size=\"42145792\"] \n  9 [size=\"40034304\", alpha=\"0.09\", expect_size=\"20017152\"] \n  9 -> 10 [size =\"20017152\"]\n  9 -> 11 [size =\"20017152\"]\n  10 [size=\"71911424\", alpha=\"0.18\", expect_size=\"35955712\"] \n  11 [size=\"59486208\", alpha=\"0.10\", expect_size=\"29743104\"] \n  11 -> 12 [size =\"29743104\"]\n  12 [size=\"49408000\", alpha=\"0.18\", expect_size=\"24704000\"] \n  12 -> 13 [size =\"24704000\"]\n  12 -> 14 [size =\"24704000\"]\n  13 [size=\"80656384\", alpha=\"0.06\", expect_size=\"40328192\"] \n  13 -> 15 [size =\"40328192\"]\n  14 [size=\"17428480\", alpha=\"0.10\", expect_size=\"8714240\"] \n  15 [size=\"62672896\", alpha=\"0.07\", expect_size=\"31336448\"] \n  15 -> 16 [size =\"31336448\"]\n  16 [size=\"13975552\", alpha=\"0.07\", expect_size=\"6987776\"] \n  16 -> 17 [size =\"6987776\"]\n  16 -> 18 [size =\"6987776\"]\n  17 [size=\"19859456\", alpha=\"0.01\", expect_size=\"9929728\"] \n  17 -> 19 [size =\"9929728\"]\n  18 [size=\"39757824\", alpha=\"0.09\", expect_size=\"19878912\"] \n  19 [size=\"102305792\", alpha=\"0.06\", expect_size=\"51152896\"] \n  19 -> 20 [size =\"51152896\"]\n  19 -> 21 [size =\"51152896\"]\n  20 [size=\"48109568\", alpha=\"0.01\", expect_size=\"24054784\"] \n  21 [size=\"36710400\", alpha=\"0.08\", expect_size=\"18355200\"] \n  21 -> 22 [size =\"18355200\"]\n  22 [size=\"83873792\", alpha=\"0.10\", expect_size=\"41936896\"] \n  22 -> 23 [size =\"41936896\"]\n  22 -> 24 [size =\"41936896\"]\n  23 [size=\"72144896\", alpha=\"0.02\", expect_size=\"36072448\"] \n  23 -> 25 [size =\"36072448\"]\n  24 [size=\"102019072\", alpha=\"0.18\", expect_size=\"51009536\"] \n  25 [size=\"53219328\", alpha=\"0.08\", expect_size=\"26609664\"] \n  25 -> 26 [size =\"26609664\"]\n  25 -> 27 [size =\"26609664\"]\n  26 [size=\"87232512\", alpha=\"0.11\", expect_size=\"43616256\"] \n  26 -> 28 [size =\"43616256\"]\n  27 [size=\"25188352\", alpha=\"0.08\", expect_size=\"12594176\"] \n  28 [size=\"29566976\", alpha=\"0.00\", expect_size=\"14783488\"] \n  28 -> 29 [size =\"14783488\"]\n  28 -> 30 [size =\"14783488\"]\n  29 [size=\"71186432\", alpha=\"0.19\", expect_size=\"35593216\"] \n  30 [size=\"100464640\", alpha=\"0.11\", expect_size=\"50232320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65005568\", alpha=\"0.11\", expect_size=\"32502784\"] \n  1 -> 13 [size =\"32502784\"]\n  1 -> 14 [size =\"32502784\"]\n  2 [size=\"32135168\", alpha=\"0.02\", expect_size=\"16067584\"] \n  2 -> 11 [size =\"16067584\"]\n  2 -> 13 [size =\"16067584\"]\n  2 -> 15 [size =\"16067584\"]\n  2 -> 18 [size =\"16067584\"]\n  3 [size=\"11929600\", alpha=\"0.06\", expect_size=\"5964800\"] \n  3 -> 11 [size =\"5964800\"]\n  3 -> 13 [size =\"5964800\"]\n  3 -> 15 [size =\"5964800\"]\n  3 -> 16 [size =\"5964800\"]\n  3 -> 17 [size =\"5964800\"]\n  4 [size=\"98242560\", alpha=\"0.06\", expect_size=\"49121280\"] \n  4 -> 10 [size =\"49121280\"]\n  4 -> 13 [size =\"49121280\"]\n  4 -> 15 [size =\"49121280\"]\n  4 -> 16 [size =\"49121280\"]\n  4 -> 17 [size =\"49121280\"]\n  5 [size=\"79618048\", alpha=\"0.01\", expect_size=\"39809024\"] \n  5 -> 16 [size =\"39809024\"]\n  6 [size=\"41089024\", alpha=\"0.10\", expect_size=\"20544512\"] \n  6 -> 10 [size =\"20544512\"]\n  6 -> 11 [size =\"20544512\"]\n  7 [size=\"70068224\", alpha=\"0.01\", expect_size=\"35034112\"] \n  7 -> 14 [size =\"35034112\"]\n  7 -> 17 [size =\"35034112\"]\n  8 [size=\"87166976\", alpha=\"0.02\", expect_size=\"43583488\"] \n  8 -> 12 [size =\"43583488\"]\n  8 -> 14 [size =\"43583488\"]\n  8 -> 15 [size =\"43583488\"]\n  8 -> 17 [size =\"43583488\"]\n  9 [size=\"89960448\", alpha=\"0.10\", expect_size=\"44980224\"] \n  9 -> 10 [size =\"44980224\"]\n  9 -> 13 [size =\"44980224\"]\n  10 [size=\"22261760\", alpha=\"0.19\", expect_size=\"11130880\"] \n  10 -> 22 [size =\"11130880\"]\n  10 -> 23 [size =\"11130880\"]\n  10 -> 25 [size =\"11130880\"]\n  10 -> 26 [size =\"11130880\"]\n  11 [size=\"97816576\", alpha=\"0.19\", expect_size=\"48908288\"] \n  11 -> 24 [size =\"48908288\"]\n  11 -> 25 [size =\"48908288\"]\n  12 [size=\"55070720\", alpha=\"0.10\", expect_size=\"27535360\"] \n  12 -> 19 [size =\"27535360\"]\n  12 -> 21 [size =\"27535360\"]\n  12 -> 24 [size =\"27535360\"]\n  12 -> 25 [size =\"27535360\"]\n  12 -> 27 [size =\"27535360\"]\n  13 [size=\"63690752\", alpha=\"0.03\", expect_size=\"31845376\"] \n  13 -> 19 [size =\"31845376\"]\n  13 -> 21 [size =\"31845376\"]\n  13 -> 23 [size =\"31845376\"]\n  13 -> 24 [size =\"31845376\"]\n  13 -> 26 [size =\"31845376\"]\n  13 -> 27 [size =\"31845376\"]\n  14 [size=\"93321216\", alpha=\"0.01\", expect_size=\"46660608\"] \n  14 -> 20 [size =\"46660608\"]\n  14 -> 21 [size =\"46660608\"]\n  14 -> 22 [size =\"46660608\"]\n  14 -> 24 [size =\"46660608\"]\n  14 -> 26 [size =\"46660608\"]\n  15 [size=\"27287552\", alpha=\"0.15\", expect_size=\"13643776\"] \n  15 -> 21 [size =\"13643776\"]\n  15 -> 23 [size =\"13643776\"]\n  15 -> 25 [size =\"13643776\"]\n  15 -> 26 [size =\"13643776\"]\n  15 -> 27 [size =\"13643776\"]\n  16 [size=\"33726464\", alpha=\"0.05\", expect_size=\"16863232\"] \n  16 -> 19 [size =\"16863232\"]\n  16 -> 27 [size =\"16863232\"]\n  17 [size=\"80969728\", alpha=\"0.16\", expect_size=\"40484864\"] \n  17 -> 19 [size =\"40484864\"]\n  17 -> 21 [size =\"40484864\"]\n  17 -> 23 [size =\"40484864\"]\n  18 [size=\"85360640\", alpha=\"0.16\", expect_size=\"42680320\"] \n  18 -> 19 [size =\"42680320\"]\n  18 -> 20 [size =\"42680320\"]\n  18 -> 24 [size =\"42680320\"]\n  18 -> 25 [size =\"42680320\"]\n  18 -> 27 [size =\"42680320\"]\n  19 [size=\"94265344\", alpha=\"0.08\", expect_size=\"47132672\"] \n  19 -> 29 [size =\"47132672\"]\n  20 [size=\"44738560\", alpha=\"0.06\", expect_size=\"22369280\"] \n  20 -> 30 [size =\"22369280\"]\n  21 [size=\"38035456\", alpha=\"0.14\", expect_size=\"19017728\"] \n  21 -> 30 [size =\"19017728\"]\n  22 [size=\"31721472\", alpha=\"0.08\", expect_size=\"15860736\"] \n  22 -> 28 [size =\"15860736\"]\n  22 -> 29 [size =\"15860736\"]\n  22 -> 30 [size =\"15860736\"]\n  23 [size=\"78352384\", alpha=\"0.02\", expect_size=\"39176192\"] \n  24 [size=\"94623744\", alpha=\"0.14\", expect_size=\"47311872\"] \n  24 -> 29 [size =\"47311872\"]\n  25 [size=\"100630528\", alpha=\"0.01\", expect_size=\"50315264\"] \n  25 -> 28 [size =\"50315264\"]\n  25 -> 29 [size =\"50315264\"]\n  25 -> 30 [size =\"50315264\"]\n  26 [size=\"75636736\", alpha=\"0.14\", expect_size=\"37818368\"] \n  26 -> 28 [size =\"37818368\"]\n  26 -> 29 [size =\"37818368\"]\n  26 -> 30 [size =\"37818368\"]\n  27 [size=\"100003840\", alpha=\"0.00\", expect_size=\"50001920\"] \n  27 -> 28 [size =\"50001920\"]\n  27 -> 29 [size =\"50001920\"]\n  28 [size=\"81242112\", alpha=\"0.03\", expect_size=\"40621056\"] \n  29 [size=\"62021632\", alpha=\"0.02\", expect_size=\"31010816\"] \n  30 [size=\"101808128\", alpha=\"0.03\", expect_size=\"50904064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24758272\", alpha=\"0.02\", expect_size=\"12379136\"] \n  1 -> 2 [size =\"12379136\"]\n  2 [size=\"61544448\", alpha=\"0.10\", expect_size=\"30772224\"] \n  2 -> 3 [size =\"30772224\"]\n  3 [size=\"83740672\", alpha=\"0.20\", expect_size=\"41870336\"] \n  3 -> 4 [size =\"41870336\"]\n  3 -> 5 [size =\"41870336\"]\n  4 [size=\"60835840\", alpha=\"0.04\", expect_size=\"30417920\"] \n  4 -> 6 [size =\"30417920\"]\n  5 [size=\"60917760\", alpha=\"0.06\", expect_size=\"30458880\"] \n  6 [size=\"55513088\", alpha=\"0.05\", expect_size=\"27756544\"] \n  6 -> 7 [size =\"27756544\"]\n  6 -> 8 [size =\"27756544\"]\n  7 [size=\"33943552\", alpha=\"0.08\", expect_size=\"16971776\"] \n  7 -> 9 [size =\"16971776\"]\n  7 -> 10 [size =\"16971776\"]\n  8 [size=\"11632640\", alpha=\"0.18\", expect_size=\"5816320\"] \n  9 [size=\"70162432\", alpha=\"0.16\", expect_size=\"35081216\"] \n  9 -> 11 [size =\"35081216\"]\n  10 [size=\"44113920\", alpha=\"0.20\", expect_size=\"22056960\"] \n  11 [size=\"40357888\", alpha=\"0.13\", expect_size=\"20178944\"] \n  11 -> 12 [size =\"20178944\"]\n  12 [size=\"51290112\", alpha=\"0.09\", expect_size=\"25645056\"] \n  12 -> 13 [size =\"25645056\"]\n  12 -> 14 [size =\"25645056\"]\n  13 [size=\"99792896\", alpha=\"0.08\", expect_size=\"49896448\"] \n  13 -> 15 [size =\"49896448\"]\n  14 [size=\"99346432\", alpha=\"0.13\", expect_size=\"49673216\"] \n  14 -> 16 [size =\"49673216\"]\n  15 [size=\"25651200\", alpha=\"0.19\", expect_size=\"12825600\"] \n  15 -> 18 [size =\"12825600\"]\n  16 [size=\"52111360\", alpha=\"0.15\", expect_size=\"26055680\"] \n  16 -> 17 [size =\"26055680\"]\n  17 [size=\"73693184\", alpha=\"0.17\", expect_size=\"36846592\"] \n  17 -> 19 [size =\"36846592\"]\n  18 [size=\"17416192\", alpha=\"0.09\", expect_size=\"8708096\"] \n  18 -> 20 [size =\"8708096\"]\n  19 [size=\"103211008\", alpha=\"0.12\", expect_size=\"51605504\"] \n  19 -> 22 [size =\"51605504\"]\n  20 [size=\"83159040\", alpha=\"0.18\", expect_size=\"41579520\"] \n  20 -> 21 [size =\"41579520\"]\n  21 [size=\"82407424\", alpha=\"0.06\", expect_size=\"41203712\"] \n  21 -> 23 [size =\"41203712\"]\n  21 -> 24 [size =\"41203712\"]\n  22 [size=\"50786304\", alpha=\"0.05\", expect_size=\"25393152\"] \n  23 [size=\"93822976\", alpha=\"0.20\", expect_size=\"46911488\"] \n  23 -> 25 [size =\"46911488\"]\n  23 -> 26 [size =\"46911488\"]\n  24 [size=\"35067904\", alpha=\"0.05\", expect_size=\"17533952\"] \n  25 [size=\"95275008\", alpha=\"0.01\", expect_size=\"47637504\"] \n  26 [size=\"91787264\", alpha=\"0.07\", expect_size=\"45893632\"] \n  26 -> 27 [size =\"45893632\"]\n  27 [size=\"66793472\", alpha=\"0.17\", expect_size=\"33396736\"] \n  27 -> 28 [size =\"33396736\"]\n  28 [size=\"50583552\", alpha=\"0.08\", expect_size=\"25291776\"] \n  28 -> 29 [size =\"25291776\"]\n  28 -> 30 [size =\"25291776\"]\n  29 [size=\"93743104\", alpha=\"0.11\", expect_size=\"46871552\"] \n  30 [size=\"58075136\", alpha=\"0.02\", expect_size=\"29037568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37394432\", alpha=\"0.11\", expect_size=\"18697216\"] \n  1 -> 5 [size =\"18697216\"]\n  1 -> 9 [size =\"18697216\"]\n  1 -> 10 [size =\"18697216\"]\n  2 [size=\"88659968\", alpha=\"0.03\", expect_size=\"44329984\"] \n  2 -> 5 [size =\"44329984\"]\n  2 -> 9 [size =\"44329984\"]\n  3 [size=\"44515328\", alpha=\"0.09\", expect_size=\"22257664\"] \n  3 -> 8 [size =\"22257664\"]\n  4 [size=\"32372736\", alpha=\"0.19\", expect_size=\"16186368\"] \n  4 -> 6 [size =\"16186368\"]\n  4 -> 7 [size =\"16186368\"]\n  4 -> 9 [size =\"16186368\"]\n  4 -> 10 [size =\"16186368\"]\n  5 [size=\"87523328\", alpha=\"0.19\", expect_size=\"43761664\"] \n  5 -> 12 [size =\"43761664\"]\n  6 [size=\"60676096\", alpha=\"0.05\", expect_size=\"30338048\"] \n  6 -> 12 [size =\"30338048\"]\n  7 [size=\"42489856\", alpha=\"0.04\", expect_size=\"21244928\"] \n  7 -> 11 [size =\"21244928\"]\n  7 -> 12 [size =\"21244928\"]\n  8 [size=\"46919680\", alpha=\"0.09\", expect_size=\"23459840\"] \n  8 -> 11 [size =\"23459840\"]\n  8 -> 13 [size =\"23459840\"]\n  9 [size=\"36554752\", alpha=\"0.10\", expect_size=\"18277376\"] \n  9 -> 11 [size =\"18277376\"]\n  10 [size=\"66232320\", alpha=\"0.00\", expect_size=\"33116160\"] \n  11 [size=\"10567680\", alpha=\"0.09\", expect_size=\"5283840\"] \n  11 -> 15 [size =\"5283840\"]\n  12 [size=\"62838784\", alpha=\"0.17\", expect_size=\"31419392\"] \n  12 -> 14 [size =\"31419392\"]\n  12 -> 16 [size =\"31419392\"]\n  13 [size=\"75841536\", alpha=\"0.20\", expect_size=\"37920768\"] \n  13 -> 14 [size =\"37920768\"]\n  13 -> 15 [size =\"37920768\"]\n  14 [size=\"24872960\", alpha=\"0.07\", expect_size=\"12436480\"] \n  14 -> 17 [size =\"12436480\"]\n  14 -> 19 [size =\"12436480\"]\n  15 [size=\"22300672\", alpha=\"0.01\", expect_size=\"11150336\"] \n  16 [size=\"17012736\", alpha=\"0.11\", expect_size=\"8506368\"] \n  16 -> 18 [size =\"8506368\"]\n  16 -> 19 [size =\"8506368\"]\n  16 -> 20 [size =\"8506368\"]\n  17 [size=\"38856704\", alpha=\"0.18\", expect_size=\"19428352\"] \n  17 -> 23 [size =\"19428352\"]\n  17 -> 24 [size =\"19428352\"]\n  18 [size=\"59088896\", alpha=\"0.17\", expect_size=\"29544448\"] \n  18 -> 21 [size =\"29544448\"]\n  18 -> 22 [size =\"29544448\"]\n  18 -> 23 [size =\"29544448\"]\n  18 -> 24 [size =\"29544448\"]\n  19 [size=\"99760128\", alpha=\"0.19\", expect_size=\"49880064\"] \n  19 -> 21 [size =\"49880064\"]\n  19 -> 22 [size =\"49880064\"]\n  19 -> 24 [size =\"49880064\"]\n  20 [size=\"53766144\", alpha=\"0.10\", expect_size=\"26883072\"] \n  20 -> 21 [size =\"26883072\"]\n  20 -> 22 [size =\"26883072\"]\n  21 [size=\"54204416\", alpha=\"0.05\", expect_size=\"27102208\"] \n  21 -> 25 [size =\"27102208\"]\n  21 -> 26 [size =\"27102208\"]\n  21 -> 28 [size =\"27102208\"]\n  22 [size=\"95330304\", alpha=\"0.18\", expect_size=\"47665152\"] \n  22 -> 28 [size =\"47665152\"]\n  23 [size=\"81795072\", alpha=\"0.17\", expect_size=\"40897536\"] \n  24 [size=\"81553408\", alpha=\"0.01\", expect_size=\"40776704\"] \n  24 -> 26 [size =\"40776704\"]\n  24 -> 27 [size =\"40776704\"]\n  25 [size=\"19398656\", alpha=\"0.02\", expect_size=\"9699328\"] \n  25 -> 29 [size =\"9699328\"]\n  25 -> 30 [size =\"9699328\"]\n  26 [size=\"25313280\", alpha=\"0.13\", expect_size=\"12656640\"] \n  27 [size=\"75556864\", alpha=\"0.11\", expect_size=\"37778432\"] \n  27 -> 30 [size =\"37778432\"]\n  28 [size=\"67516416\", alpha=\"0.16\", expect_size=\"33758208\"] \n  28 -> 30 [size =\"33758208\"]\n  29 [size=\"54450176\", alpha=\"0.08\", expect_size=\"27225088\"] \n  30 [size=\"52011008\", alpha=\"0.11\", expect_size=\"26005504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44533760\", alpha=\"0.14\", expect_size=\"17813504\"] \n  1 -> 30 [size =\"17813504\"]\n  2 [size=\"51466240\", alpha=\"0.20\", expect_size=\"20586496\"] \n  2 -> 27 [size =\"20586496\"]\n  2 -> 29 [size =\"20586496\"]\n  3 [size=\"118026240\", alpha=\"0.11\", expect_size=\"47210496\"] \n  3 -> 27 [size =\"47210496\"]\n  3 -> 29 [size =\"47210496\"]\n  4 [size=\"89105920\", alpha=\"0.05\", expect_size=\"35642368\"] \n  5 [size=\"111549440\", alpha=\"0.16\", expect_size=\"44619776\"] \n  5 -> 29 [size =\"44619776\"]\n  6 [size=\"42547200\", alpha=\"0.06\", expect_size=\"17018880\"] \n  6 -> 30 [size =\"17018880\"]\n  7 [size=\"124971520\", alpha=\"0.17\", expect_size=\"49988608\"] \n  7 -> 28 [size =\"49988608\"]\n  7 -> 29 [size =\"49988608\"]\n  8 [size=\"43678720\", alpha=\"0.14\", expect_size=\"17471488\"] \n  8 -> 27 [size =\"17471488\"]\n  8 -> 30 [size =\"17471488\"]\n  9 [size=\"41564160\", alpha=\"0.08\", expect_size=\"16625664\"] \n  9 -> 29 [size =\"16625664\"]\n  10 [size=\"130293760\", alpha=\"0.06\", expect_size=\"52117504\"] \n  10 -> 29 [size =\"52117504\"]\n  11 [size=\"37450240\", alpha=\"0.11\", expect_size=\"14980096\"] \n  11 -> 30 [size =\"14980096\"]\n  12 [size=\"117496320\", alpha=\"0.15\", expect_size=\"46998528\"] \n  12 -> 27 [size =\"46998528\"]\n  12 -> 29 [size =\"46998528\"]\n  12 -> 30 [size =\"46998528\"]\n  13 [size=\"116976640\", alpha=\"0.17\", expect_size=\"46790656\"] \n  13 -> 27 [size =\"46790656\"]\n  13 -> 28 [size =\"46790656\"]\n  13 -> 29 [size =\"46790656\"]\n  13 -> 30 [size =\"46790656\"]\n  14 [size=\"65945600\", alpha=\"0.01\", expect_size=\"26378240\"] \n  14 -> 27 [size =\"26378240\"]\n  14 -> 29 [size =\"26378240\"]\n  14 -> 30 [size =\"26378240\"]\n  15 [size=\"93665280\", alpha=\"0.02\", expect_size=\"37466112\"] \n  16 [size=\"71918080\", alpha=\"0.06\", expect_size=\"28767232\"] \n  16 -> 30 [size =\"28767232\"]\n  17 [size=\"105843200\", alpha=\"0.13\", expect_size=\"42337280\"] \n  17 -> 27 [size =\"42337280\"]\n  17 -> 30 [size =\"42337280\"]\n  18 [size=\"86863360\", alpha=\"0.01\", expect_size=\"34745344\"] \n  18 -> 30 [size =\"34745344\"]\n  19 [size=\"48824320\", alpha=\"0.06\", expect_size=\"19529728\"] \n  19 -> 27 [size =\"19529728\"]\n  19 -> 29 [size =\"19529728\"]\n  19 -> 30 [size =\"19529728\"]\n  20 [size=\"94164480\", alpha=\"0.09\", expect_size=\"37665792\"] \n  20 -> 27 [size =\"37665792\"]\n  20 -> 29 [size =\"37665792\"]\n  21 [size=\"13306880\", alpha=\"0.18\", expect_size=\"5322752\"] \n  21 -> 27 [size =\"5322752\"]\n  22 [size=\"76129280\", alpha=\"0.13\", expect_size=\"30451712\"] \n  22 -> 27 [size =\"30451712\"]\n  22 -> 29 [size =\"30451712\"]\n  22 -> 30 [size =\"30451712\"]\n  23 [size=\"45672960\", alpha=\"0.05\", expect_size=\"18269184\"] \n  23 -> 27 [size =\"18269184\"]\n  23 -> 28 [size =\"18269184\"]\n  23 -> 29 [size =\"18269184\"]\n  24 [size=\"26383360\", alpha=\"0.11\", expect_size=\"10553344\"] \n  24 -> 27 [size =\"10553344\"]\n  24 -> 28 [size =\"10553344\"]\n  24 -> 29 [size =\"10553344\"]\n  25 [size=\"32599040\", alpha=\"0.13\", expect_size=\"13039616\"] \n  25 -> 27 [size =\"13039616\"]\n  26 [size=\"44879360\", alpha=\"0.01\", expect_size=\"17951744\"] \n  26 -> 27 [size =\"17951744\"]\n  27 [size=\"83084800\", alpha=\"0.07\", expect_size=\"33233920\"] \n  28 [size=\"40706560\", alpha=\"0.18\", expect_size=\"16282624\"] \n  29 [size=\"47088640\", alpha=\"0.15\", expect_size=\"18835456\"] \n  30 [size=\"83494400\", alpha=\"0.11\", expect_size=\"33397760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68964352\", alpha=\"0.19\", expect_size=\"34482176\"] \n  1 -> 2 [size =\"34482176\"]\n  2 [size=\"34533376\", alpha=\"0.08\", expect_size=\"17266688\"] \n  2 -> 3 [size =\"17266688\"]\n  3 [size=\"71665664\", alpha=\"0.03\", expect_size=\"35832832\"] \n  3 -> 4 [size =\"35832832\"]\n  4 [size=\"65599488\", alpha=\"0.08\", expect_size=\"32799744\"] \n  4 -> 5 [size =\"32799744\"]\n  4 -> 6 [size =\"32799744\"]\n  5 [size=\"79740928\", alpha=\"0.16\", expect_size=\"39870464\"] \n  5 -> 7 [size =\"39870464\"]\n  5 -> 8 [size =\"39870464\"]\n  6 [size=\"19505152\", alpha=\"0.11\", expect_size=\"9752576\"] \n  6 -> 8 [size =\"9752576\"]\n  7 [size=\"13418496\", alpha=\"0.01\", expect_size=\"6709248\"] \n  7 -> 10 [size =\"6709248\"]\n  8 [size=\"38811648\", alpha=\"0.11\", expect_size=\"19405824\"] \n  8 -> 9 [size =\"19405824\"]\n  8 -> 10 [size =\"19405824\"]\n  9 [size=\"88352768\", alpha=\"0.07\", expect_size=\"44176384\"] \n  9 -> 12 [size =\"44176384\"]\n  10 [size=\"86280192\", alpha=\"0.03\", expect_size=\"43140096\"] \n  10 -> 11 [size =\"43140096\"]\n  11 [size=\"49960960\", alpha=\"0.15\", expect_size=\"24980480\"] \n  11 -> 13 [size =\"24980480\"]\n  12 [size=\"43933696\", alpha=\"0.15\", expect_size=\"21966848\"] \n  12 -> 13 [size =\"21966848\"]\n  12 -> 14 [size =\"21966848\"]\n  13 [size=\"80314368\", alpha=\"0.19\", expect_size=\"40157184\"] \n  13 -> 15 [size =\"40157184\"]\n  14 [size=\"95512576\", alpha=\"0.11\", expect_size=\"47756288\"] \n  15 [size=\"39503872\", alpha=\"0.05\", expect_size=\"19751936\"] \n  15 -> 16 [size =\"19751936\"]\n  16 [size=\"18907136\", alpha=\"0.10\", expect_size=\"9453568\"] \n  16 -> 17 [size =\"9453568\"]\n  17 [size=\"71069696\", alpha=\"0.06\", expect_size=\"35534848\"] \n  17 -> 18 [size =\"35534848\"]\n  17 -> 19 [size =\"35534848\"]\n  18 [size=\"76550144\", alpha=\"0.04\", expect_size=\"38275072\"] \n  18 -> 20 [size =\"38275072\"]\n  19 [size=\"32382976\", alpha=\"0.09\", expect_size=\"16191488\"] \n  20 [size=\"66037760\", alpha=\"0.08\", expect_size=\"33018880\"] \n  20 -> 21 [size =\"33018880\"]\n  20 -> 22 [size =\"33018880\"]\n  21 [size=\"79525888\", alpha=\"0.19\", expect_size=\"39762944\"] \n  21 -> 23 [size =\"39762944\"]\n  21 -> 24 [size =\"39762944\"]\n  22 [size=\"55519232\", alpha=\"0.16\", expect_size=\"27759616\"] \n  23 [size=\"32722944\", alpha=\"0.05\", expect_size=\"16361472\"] \n  23 -> 25 [size =\"16361472\"]\n  23 -> 26 [size =\"16361472\"]\n  24 [size=\"26372096\", alpha=\"0.06\", expect_size=\"13186048\"] \n  25 [size=\"80140288\", alpha=\"0.01\", expect_size=\"40070144\"] \n  25 -> 28 [size =\"40070144\"]\n  26 [size=\"103614464\", alpha=\"0.19\", expect_size=\"51807232\"] \n  26 -> 27 [size =\"51807232\"]\n  27 [size=\"54333440\", alpha=\"0.17\", expect_size=\"27166720\"] \n  27 -> 29 [size =\"27166720\"]\n  27 -> 30 [size =\"27166720\"]\n  28 [size=\"82321408\", alpha=\"0.01\", expect_size=\"41160704\"] \n  28 -> 29 [size =\"41160704\"]\n  28 -> 30 [size =\"41160704\"]\n  29 [size=\"101816320\", alpha=\"0.02\", expect_size=\"50908160\"] \n  30 [size=\"50941952\", alpha=\"0.19\", expect_size=\"25470976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69752320\", alpha=\"0.08\", expect_size=\"27900928\"] \n  1 -> 20 [size =\"27900928\"]\n  1 -> 24 [size =\"27900928\"]\n  1 -> 25 [size =\"27900928\"]\n  1 -> 28 [size =\"27900928\"]\n  1 -> 29 [size =\"27900928\"]\n  2 [size=\"97152000\", alpha=\"0.14\", expect_size=\"38860800\"] \n  2 -> 20 [size =\"38860800\"]\n  2 -> 22 [size =\"38860800\"]\n  2 -> 24 [size =\"38860800\"]\n  2 -> 25 [size =\"38860800\"]\n  2 -> 27 [size =\"38860800\"]\n  2 -> 28 [size =\"38860800\"]\n  3 [size=\"26833920\", alpha=\"0.02\", expect_size=\"10733568\"] \n  3 -> 22 [size =\"10733568\"]\n  3 -> 22 [size =\"10733568\"]\n  3 -> 25 [size =\"10733568\"]\n  3 -> 25 [size =\"10733568\"]\n  3 -> 28 [size =\"10733568\"]\n  3 -> 30 [size =\"10733568\"]\n  4 [size=\"107248640\", alpha=\"0.09\", expect_size=\"42899456\"] \n  4 -> 21 [size =\"42899456\"]\n  4 -> 22 [size =\"42899456\"]\n  4 -> 25 [size =\"42899456\"]\n  4 -> 26 [size =\"42899456\"]\n  5 [size=\"49507840\", alpha=\"0.01\", expect_size=\"19803136\"] \n  5 -> 25 [size =\"19803136\"]\n  5 -> 26 [size =\"19803136\"]\n  5 -> 28 [size =\"19803136\"]\n  5 -> 29 [size =\"19803136\"]\n  6 [size=\"50383360\", alpha=\"0.19\", expect_size=\"20153344\"] \n  6 -> 22 [size =\"20153344\"]\n  6 -> 23 [size =\"20153344\"]\n  6 -> 24 [size =\"20153344\"]\n  6 -> 27 [size =\"20153344\"]\n  6 -> 28 [size =\"20153344\"]\n  7 [size=\"101475840\", alpha=\"0.03\", expect_size=\"40590336\"] \n  7 -> 22 [size =\"40590336\"]\n  7 -> 23 [size =\"40590336\"]\n  7 -> 24 [size =\"40590336\"]\n  7 -> 27 [size =\"40590336\"]\n  7 -> 28 [size =\"40590336\"]\n  7 -> 29 [size =\"40590336\"]\n  8 [size=\"102448640\", alpha=\"0.02\", expect_size=\"40979456\"] \n  8 -> 21 [size =\"40979456\"]\n  8 -> 25 [size =\"40979456\"]\n  8 -> 26 [size =\"40979456\"]\n  8 -> 27 [size =\"40979456\"]\n  8 -> 28 [size =\"40979456\"]\n  8 -> 30 [size =\"40979456\"]\n  9 [size=\"83504640\", alpha=\"0.05\", expect_size=\"33401856\"] \n  9 -> 21 [size =\"33401856\"]\n  9 -> 23 [size =\"33401856\"]\n  9 -> 28 [size =\"33401856\"]\n  9 -> 30 [size =\"33401856\"]\n  10 [size=\"103754240\", alpha=\"0.13\", expect_size=\"41501696\"] \n  10 -> 22 [size =\"41501696\"]\n  10 -> 24 [size =\"41501696\"]\n  10 -> 25 [size =\"41501696\"]\n  10 -> 28 [size =\"41501696\"]\n  10 -> 30 [size =\"41501696\"]\n  11 [size=\"88286720\", alpha=\"0.13\", expect_size=\"35314688\"] \n  11 -> 22 [size =\"35314688\"]\n  11 -> 23 [size =\"35314688\"]\n  11 -> 24 [size =\"35314688\"]\n  11 -> 25 [size =\"35314688\"]\n  11 -> 26 [size =\"35314688\"]\n  11 -> 27 [size =\"35314688\"]\n  11 -> 28 [size =\"35314688\"]\n  11 -> 29 [size =\"35314688\"]\n  11 -> 30 [size =\"35314688\"]\n  12 [size=\"19729920\", alpha=\"0.06\", expect_size=\"7891968\"] \n  12 -> 22 [size =\"7891968\"]\n  12 -> 24 [size =\"7891968\"]\n  12 -> 26 [size =\"7891968\"]\n  12 -> 30 [size =\"7891968\"]\n  13 [size=\"100001280\", alpha=\"0.14\", expect_size=\"40000512\"] \n  13 -> 20 [size =\"40000512\"]\n  13 -> 22 [size =\"40000512\"]\n  13 -> 23 [size =\"40000512\"]\n  13 -> 24 [size =\"40000512\"]\n  13 -> 26 [size =\"40000512\"]\n  13 -> 28 [size =\"40000512\"]\n  13 -> 29 [size =\"40000512\"]\n  14 [size=\"113059840\", alpha=\"0.11\", expect_size=\"45223936\"] \n  14 -> 24 [size =\"45223936\"]\n  14 -> 25 [size =\"45223936\"]\n  14 -> 26 [size =\"45223936\"]\n  14 -> 28 [size =\"45223936\"]\n  14 -> 29 [size =\"45223936\"]\n  15 [size=\"47969280\", alpha=\"0.09\", expect_size=\"19187712\"] \n  15 -> 20 [size =\"19187712\"]\n  15 -> 26 [size =\"19187712\"]\n  15 -> 26 [size =\"19187712\"]\n  15 -> 28 [size =\"19187712\"]\n  16 [size=\"53757440\", alpha=\"0.19\", expect_size=\"21502976\"] \n  16 -> 23 [size =\"21502976\"]\n  16 -> 24 [size =\"21502976\"]\n  16 -> 25 [size =\"21502976\"]\n  16 -> 26 [size =\"21502976\"]\n  16 -> 28 [size =\"21502976\"]\n  17 [size=\"47019520\", alpha=\"0.20\", expect_size=\"18807808\"] \n  17 -> 21 [size =\"18807808\"]\n  17 -> 25 [size =\"18807808\"]\n  17 -> 26 [size =\"18807808\"]\n  17 -> 28 [size =\"18807808\"]\n  18 [size=\"65817600\", alpha=\"0.16\", expect_size=\"26327040\"] \n  18 -> 23 [size =\"26327040\"]\n  18 -> 25 [size =\"26327040\"]\n  18 -> 28 [size =\"26327040\"]\n  19 [size=\"78197760\", alpha=\"0.07\", expect_size=\"31279104\"] \n  19 -> 25 [size =\"31279104\"]\n  19 -> 25 [size =\"31279104\"]\n  19 -> 26 [size =\"31279104\"]\n  19 -> 27 [size =\"31279104\"]\n  20 [size=\"109575680\", alpha=\"0.10\", expect_size=\"43830272\"] \n  21 [size=\"66058240\", alpha=\"0.02\", expect_size=\"26423296\"] \n  22 [size=\"22553600\", alpha=\"0.09\", expect_size=\"9021440\"] \n  23 [size=\"56350720\", alpha=\"0.18\", expect_size=\"22540288\"] \n  24 [size=\"23585280\", alpha=\"0.02\", expect_size=\"9434112\"] \n  25 [size=\"88071680\", alpha=\"0.13\", expect_size=\"35228672\"] \n  26 [size=\"22044160\", alpha=\"0.11\", expect_size=\"8817664\"] \n  27 [size=\"14702080\", alpha=\"0.03\", expect_size=\"5880832\"] \n  28 [size=\"130045440\", alpha=\"0.10\", expect_size=\"52018176\"] \n  29 [size=\"108510720\", alpha=\"0.10\", expect_size=\"43404288\"] \n  30 [size=\"33484800\", alpha=\"0.04\", expect_size=\"13393920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65658880\", alpha=\"0.06\", expect_size=\"32829440\"] \n  1 -> 17 [size =\"32829440\"]\n  1 -> 19 [size =\"32829440\"]\n  1 -> 20 [size =\"32829440\"]\n  1 -> 24 [size =\"32829440\"]\n  1 -> 25 [size =\"32829440\"]\n  1 -> 25 [size =\"32829440\"]\n  1 -> 28 [size =\"32829440\"]\n  1 -> 28 [size =\"32829440\"]\n  2 [size=\"72101888\", alpha=\"0.15\", expect_size=\"36050944\"] \n  2 -> 19 [size =\"36050944\"]\n  2 -> 19 [size =\"36050944\"]\n  2 -> 22 [size =\"36050944\"]\n  2 -> 23 [size =\"36050944\"]\n  2 -> 24 [size =\"36050944\"]\n  2 -> 25 [size =\"36050944\"]\n  2 -> 28 [size =\"36050944\"]\n  2 -> 29 [size =\"36050944\"]\n  2 -> 30 [size =\"36050944\"]\n  3 [size=\"78972928\", alpha=\"0.03\", expect_size=\"39486464\"] \n  3 -> 16 [size =\"39486464\"]\n  3 -> 17 [size =\"39486464\"]\n  3 -> 18 [size =\"39486464\"]\n  3 -> 21 [size =\"39486464\"]\n  3 -> 22 [size =\"39486464\"]\n  3 -> 23 [size =\"39486464\"]\n  3 -> 24 [size =\"39486464\"]\n  3 -> 25 [size =\"39486464\"]\n  3 -> 28 [size =\"39486464\"]\n  3 -> 30 [size =\"39486464\"]\n  4 [size=\"68962304\", alpha=\"0.01\", expect_size=\"34481152\"] \n  4 -> 16 [size =\"34481152\"]\n  4 -> 17 [size =\"34481152\"]\n  4 -> 18 [size =\"34481152\"]\n  4 -> 20 [size =\"34481152\"]\n  4 -> 23 [size =\"34481152\"]\n  4 -> 23 [size =\"34481152\"]\n  4 -> 24 [size =\"34481152\"]\n  4 -> 25 [size =\"34481152\"]\n  4 -> 29 [size =\"34481152\"]\n  4 -> 30 [size =\"34481152\"]\n  5 [size=\"37750784\", alpha=\"0.18\", expect_size=\"18875392\"] \n  5 -> 18 [size =\"18875392\"]\n  5 -> 19 [size =\"18875392\"]\n  5 -> 20 [size =\"18875392\"]\n  5 -> 24 [size =\"18875392\"]\n  5 -> 25 [size =\"18875392\"]\n  5 -> 29 [size =\"18875392\"]\n  5 -> 30 [size =\"18875392\"]\n  6 [size=\"42651648\", alpha=\"0.15\", expect_size=\"21325824\"] \n  6 -> 16 [size =\"21325824\"]\n  6 -> 17 [size =\"21325824\"]\n  6 -> 18 [size =\"21325824\"]\n  6 -> 23 [size =\"21325824\"]\n  6 -> 24 [size =\"21325824\"]\n  6 -> 26 [size =\"21325824\"]\n  6 -> 29 [size =\"21325824\"]\n  6 -> 30 [size =\"21325824\"]\n  7 [size=\"47212544\", alpha=\"0.11\", expect_size=\"23606272\"] \n  7 -> 16 [size =\"23606272\"]\n  7 -> 23 [size =\"23606272\"]\n  7 -> 24 [size =\"23606272\"]\n  7 -> 27 [size =\"23606272\"]\n  7 -> 28 [size =\"23606272\"]\n  7 -> 29 [size =\"23606272\"]\n  7 -> 29 [size =\"23606272\"]\n  7 -> 30 [size =\"23606272\"]\n  8 [size=\"104271872\", alpha=\"0.11\", expect_size=\"52135936\"] \n  8 -> 17 [size =\"52135936\"]\n  8 -> 18 [size =\"52135936\"]\n  8 -> 19 [size =\"52135936\"]\n  8 -> 27 [size =\"52135936\"]\n  8 -> 29 [size =\"52135936\"]\n  8 -> 29 [size =\"52135936\"]\n  8 -> 30 [size =\"52135936\"]\n  9 [size=\"58535936\", alpha=\"0.09\", expect_size=\"29267968\"] \n  9 -> 16 [size =\"29267968\"]\n  9 -> 26 [size =\"29267968\"]\n  9 -> 29 [size =\"29267968\"]\n  10 [size=\"47044608\", alpha=\"0.11\", expect_size=\"23522304\"] \n  10 -> 16 [size =\"23522304\"]\n  10 -> 17 [size =\"23522304\"]\n  10 -> 19 [size =\"23522304\"]\n  10 -> 23 [size =\"23522304\"]\n  10 -> 29 [size =\"23522304\"]\n  10 -> 30 [size =\"23522304\"]\n  11 [size=\"65282048\", alpha=\"0.03\", expect_size=\"32641024\"] \n  11 -> 17 [size =\"32641024\"]\n  11 -> 18 [size =\"32641024\"]\n  11 -> 19 [size =\"32641024\"]\n  11 -> 23 [size =\"32641024\"]\n  11 -> 24 [size =\"32641024\"]\n  11 -> 26 [size =\"32641024\"]\n  11 -> 29 [size =\"32641024\"]\n  11 -> 30 [size =\"32641024\"]\n  12 [size=\"92168192\", alpha=\"0.11\", expect_size=\"46084096\"] \n  12 -> 17 [size =\"46084096\"]\n  12 -> 19 [size =\"46084096\"]\n  12 -> 19 [size =\"46084096\"]\n  12 -> 23 [size =\"46084096\"]\n  12 -> 24 [size =\"46084096\"]\n  12 -> 25 [size =\"46084096\"]\n  12 -> 26 [size =\"46084096\"]\n  13 [size=\"70301696\", alpha=\"0.03\", expect_size=\"35150848\"] \n  13 -> 19 [size =\"35150848\"]\n  13 -> 21 [size =\"35150848\"]\n  13 -> 23 [size =\"35150848\"]\n  13 -> 24 [size =\"35150848\"]\n  13 -> 28 [size =\"35150848\"]\n  14 [size=\"82307072\", alpha=\"0.16\", expect_size=\"41153536\"] \n  14 -> 17 [size =\"41153536\"]\n  14 -> 19 [size =\"41153536\"]\n  14 -> 20 [size =\"41153536\"]\n  14 -> 21 [size =\"41153536\"]\n  14 -> 23 [size =\"41153536\"]\n  14 -> 24 [size =\"41153536\"]\n  14 -> 26 [size =\"41153536\"]\n  14 -> 28 [size =\"41153536\"]\n  15 [size=\"86947840\", alpha=\"0.12\", expect_size=\"43473920\"] \n  15 -> 16 [size =\"43473920\"]\n  15 -> 17 [size =\"43473920\"]\n  15 -> 18 [size =\"43473920\"]\n  15 -> 19 [size =\"43473920\"]\n  15 -> 24 [size =\"43473920\"]\n  15 -> 25 [size =\"43473920\"]\n  15 -> 26 [size =\"43473920\"]\n  15 -> 28 [size =\"43473920\"]\n  16 [size=\"78409728\", alpha=\"0.20\", expect_size=\"39204864\"] \n  17 [size=\"56113152\", alpha=\"0.13\", expect_size=\"28056576\"] \n  18 [size=\"14790656\", alpha=\"0.19\", expect_size=\"7395328\"] \n  19 [size=\"67708928\", alpha=\"0.17\", expect_size=\"33854464\"] \n  20 [size=\"15646720\", alpha=\"0.15\", expect_size=\"7823360\"] \n  21 [size=\"65697792\", alpha=\"0.04\", expect_size=\"32848896\"] \n  22 [size=\"81827840\", alpha=\"0.06\", expect_size=\"40913920\"] \n  23 [size=\"39227392\", alpha=\"0.02\", expect_size=\"19613696\"] \n  24 [size=\"53772288\", alpha=\"0.11\", expect_size=\"26886144\"] \n  25 [size=\"33169408\", alpha=\"0.06\", expect_size=\"16584704\"] \n  26 [size=\"89335808\", alpha=\"0.07\", expect_size=\"44667904\"] \n  27 [size=\"87427072\", alpha=\"0.17\", expect_size=\"43713536\"] \n  28 [size=\"52408320\", alpha=\"0.06\", expect_size=\"26204160\"] \n  29 [size=\"45649920\", alpha=\"0.05\", expect_size=\"22824960\"] \n  30 [size=\"33026048\", alpha=\"0.12\", expect_size=\"16513024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29719893\", alpha=\"0.00\", expect_size=\"8915968\"] \n  1 -> 2 [size =\"8915968\"]\n  2 [size=\"59057493\", alpha=\"0.13\", expect_size=\"17717248\"] \n  2 -> 3 [size =\"17717248\"]\n  3 [size=\"151934293\", alpha=\"0.10\", expect_size=\"45580288\"] \n  3 -> 4 [size =\"45580288\"]\n  4 [size=\"46834347\", alpha=\"0.03\", expect_size=\"14050304\"] \n  4 -> 5 [size =\"14050304\"]\n  5 [size=\"115653973\", alpha=\"0.06\", expect_size=\"34696192\"] \n  5 -> 6 [size =\"34696192\"]\n  6 [size=\"157327360\", alpha=\"0.11\", expect_size=\"47198208\"] \n  6 -> 7 [size =\"47198208\"]\n  7 [size=\"56773973\", alpha=\"0.13\", expect_size=\"17032192\"] \n  7 -> 8 [size =\"17032192\"]\n  8 [size=\"139089920\", alpha=\"0.12\", expect_size=\"41726976\"] \n  8 -> 9 [size =\"41726976\"]\n  9 [size=\"174189227\", alpha=\"0.02\", expect_size=\"52256768\"] \n  9 -> 10 [size =\"52256768\"]\n  10 [size=\"160498347\", alpha=\"0.14\", expect_size=\"48149504\"] \n  10 -> 11 [size =\"48149504\"]\n  11 [size=\"159846400\", alpha=\"0.12\", expect_size=\"47953920\"] \n  11 -> 12 [size =\"47953920\"]\n  12 [size=\"161580373\", alpha=\"0.16\", expect_size=\"48474112\"] \n  12 -> 13 [size =\"48474112\"]\n  13 [size=\"107919360\", alpha=\"0.11\", expect_size=\"32375808\"] \n  13 -> 14 [size =\"32375808\"]\n  14 [size=\"30993067\", alpha=\"0.02\", expect_size=\"9297920\"] \n  14 -> 15 [size =\"9297920\"]\n  15 [size=\"54507520\", alpha=\"0.01\", expect_size=\"16352256\"] \n  15 -> 16 [size =\"16352256\"]\n  16 [size=\"100614827\", alpha=\"0.15\", expect_size=\"30184448\"] \n  16 -> 17 [size =\"30184448\"]\n  17 [size=\"30624427\", alpha=\"0.14\", expect_size=\"9187328\"] \n  17 -> 18 [size =\"9187328\"]\n  18 [size=\"129621333\", alpha=\"0.08\", expect_size=\"38886400\"] \n  18 -> 19 [size =\"38886400\"]\n  19 [size=\"63829333\", alpha=\"0.17\", expect_size=\"19148800\"] \n  19 -> 20 [size =\"19148800\"]\n  20 [size=\"76827307\", alpha=\"0.02\", expect_size=\"23048192\"] \n  20 -> 21 [size =\"23048192\"]\n  21 [size=\"28730027\", alpha=\"0.09\", expect_size=\"8619008\"] \n  21 -> 22 [size =\"8619008\"]\n  22 [size=\"123176960\", alpha=\"0.01\", expect_size=\"36953088\"] \n  22 -> 23 [size =\"36953088\"]\n  23 [size=\"89012907\", alpha=\"0.10\", expect_size=\"26703872\"] \n  23 -> 24 [size =\"26703872\"]\n  24 [size=\"19691520\", alpha=\"0.03\", expect_size=\"5907456\"] \n  24 -> 25 [size =\"5907456\"]\n  25 [size=\"36078933\", alpha=\"0.08\", expect_size=\"10823680\"] \n  25 -> 26 [size =\"10823680\"]\n  26 [size=\"47370240\", alpha=\"0.11\", expect_size=\"14211072\"] \n  26 -> 27 [size =\"14211072\"]\n  27 [size=\"167441067\", alpha=\"0.19\", expect_size=\"50232320\"] \n  27 -> 28 [size =\"50232320\"]\n  28 [size=\"122770773\", alpha=\"0.03\", expect_size=\"36831232\"] \n  28 -> 29 [size =\"36831232\"]\n  29 [size=\"30679040\", alpha=\"0.06\", expect_size=\"9203712\"] \n  29 -> 30 [size =\"9203712\"]\n  30 [size=\"165625173\", alpha=\"0.08\", expect_size=\"49687552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83107840\", alpha=\"0.11\", expect_size=\"24932352\"] \n  1 -> 12 [size =\"24932352\"]\n  1 -> 15 [size =\"24932352\"]\n  1 -> 17 [size =\"24932352\"]\n  1 -> 18 [size =\"24932352\"]\n  1 -> 23 [size =\"24932352\"]\n  1 -> 24 [size =\"24932352\"]\n  2 [size=\"146032640\", alpha=\"0.09\", expect_size=\"43809792\"] \n  2 -> 12 [size =\"43809792\"]\n  2 -> 15 [size =\"43809792\"]\n  2 -> 16 [size =\"43809792\"]\n  2 -> 17 [size =\"43809792\"]\n  2 -> 18 [size =\"43809792\"]\n  2 -> 21 [size =\"43809792\"]\n  2 -> 23 [size =\"43809792\"]\n  2 -> 25 [size =\"43809792\"]\n  3 [size=\"165154133\", alpha=\"0.05\", expect_size=\"49546240\"] \n  3 -> 12 [size =\"49546240\"]\n  3 -> 15 [size =\"49546240\"]\n  3 -> 16 [size =\"49546240\"]\n  3 -> 18 [size =\"49546240\"]\n  3 -> 21 [size =\"49546240\"]\n  3 -> 21 [size =\"49546240\"]\n  3 -> 23 [size =\"49546240\"]\n  3 -> 25 [size =\"49546240\"]\n  4 [size=\"131741013\", alpha=\"0.05\", expect_size=\"39522304\"] \n  4 -> 12 [size =\"39522304\"]\n  4 -> 14 [size =\"39522304\"]\n  4 -> 20 [size =\"39522304\"]\n  4 -> 21 [size =\"39522304\"]\n  4 -> 21 [size =\"39522304\"]\n  4 -> 22 [size =\"39522304\"]\n  4 -> 23 [size =\"39522304\"]\n  4 -> 24 [size =\"39522304\"]\n  4 -> 25 [size =\"39522304\"]\n  5 [size=\"118838613\", alpha=\"0.18\", expect_size=\"35651584\"] \n  5 -> 12 [size =\"35651584\"]\n  5 -> 14 [size =\"35651584\"]\n  5 -> 15 [size =\"35651584\"]\n  5 -> 17 [size =\"35651584\"]\n  5 -> 22 [size =\"35651584\"]\n  5 -> 25 [size =\"35651584\"]\n  5 -> 26 [size =\"35651584\"]\n  6 [size=\"119483733\", alpha=\"0.03\", expect_size=\"35845120\"] \n  6 -> 12 [size =\"35845120\"]\n  6 -> 15 [size =\"35845120\"]\n  6 -> 18 [size =\"35845120\"]\n  6 -> 22 [size =\"35845120\"]\n  6 -> 23 [size =\"35845120\"]\n  6 -> 25 [size =\"35845120\"]\n  7 [size=\"73383253\", alpha=\"0.19\", expect_size=\"22014976\"] \n  7 -> 12 [size =\"22014976\"]\n  7 -> 14 [size =\"22014976\"]\n  7 -> 22 [size =\"22014976\"]\n  7 -> 23 [size =\"22014976\"]\n  7 -> 24 [size =\"22014976\"]\n  7 -> 25 [size =\"22014976\"]\n  7 -> 26 [size =\"22014976\"]\n  8 [size=\"128372053\", alpha=\"0.07\", expect_size=\"38511616\"] \n  8 -> 12 [size =\"38511616\"]\n  8 -> 14 [size =\"38511616\"]\n  8 -> 15 [size =\"38511616\"]\n  8 -> 16 [size =\"38511616\"]\n  8 -> 21 [size =\"38511616\"]\n  8 -> 22 [size =\"38511616\"]\n  8 -> 24 [size =\"38511616\"]\n  8 -> 25 [size =\"38511616\"]\n  9 [size=\"49640107\", alpha=\"0.02\", expect_size=\"14892032\"] \n  9 -> 11 [size =\"14892032\"]\n  9 -> 12 [size =\"14892032\"]\n  9 -> 15 [size =\"14892032\"]\n  9 -> 18 [size =\"14892032\"]\n  9 -> 19 [size =\"14892032\"]\n  9 -> 22 [size =\"14892032\"]\n  9 -> 27 [size =\"14892032\"]\n  10 [size=\"66232320\", alpha=\"0.09\", expect_size=\"19869696\"] \n  10 -> 13 [size =\"19869696\"]\n  10 -> 14 [size =\"19869696\"]\n  10 -> 18 [size =\"19869696\"]\n  10 -> 19 [size =\"19869696\"]\n  11 [size=\"33385813\", alpha=\"0.10\", expect_size=\"10015744\"] \n  12 [size=\"116947627\", alpha=\"0.08\", expect_size=\"35084288\"] \n  13 [size=\"29143040\", alpha=\"0.02\", expect_size=\"8742912\"] \n  14 [size=\"70051840\", alpha=\"0.17\", expect_size=\"21015552\"] \n  14 -> 29 [size =\"21015552\"]\n  15 [size=\"108864853\", alpha=\"0.09\", expect_size=\"32659456\"] \n  15 -> 28 [size =\"32659456\"]\n  15 -> 29 [size =\"32659456\"]\n  16 [size=\"91190613\", alpha=\"0.17\", expect_size=\"27357184\"] \n  16 -> 28 [size =\"27357184\"]\n  16 -> 29 [size =\"27357184\"]\n  17 [size=\"117346987\", alpha=\"0.04\", expect_size=\"35204096\"] \n  17 -> 28 [size =\"35204096\"]\n  17 -> 29 [size =\"35204096\"]\n  17 -> 30 [size =\"35204096\"]\n  18 [size=\"111609173\", alpha=\"0.14\", expect_size=\"33482752\"] \n  18 -> 28 [size =\"33482752\"]\n  18 -> 29 [size =\"33482752\"]\n  18 -> 30 [size =\"33482752\"]\n  19 [size=\"163601067\", alpha=\"0.20\", expect_size=\"49080320\"] \n  19 -> 28 [size =\"49080320\"]\n  19 -> 29 [size =\"49080320\"]\n  19 -> 30 [size =\"49080320\"]\n  20 [size=\"25446400\", alpha=\"0.06\", expect_size=\"7633920\"] \n  20 -> 28 [size =\"7633920\"]\n  20 -> 30 [size =\"7633920\"]\n  21 [size=\"98286933\", alpha=\"0.01\", expect_size=\"29486080\"] \n  21 -> 28 [size =\"29486080\"]\n  21 -> 30 [size =\"29486080\"]\n  22 [size=\"173680640\", alpha=\"0.12\", expect_size=\"52104192\"] \n  22 -> 30 [size =\"52104192\"]\n  23 [size=\"82776747\", alpha=\"0.01\", expect_size=\"24833024\"] \n  24 [size=\"95433387\", alpha=\"0.06\", expect_size=\"28630016\"] \n  24 -> 29 [size =\"28630016\"]\n  24 -> 30 [size =\"28630016\"]\n  25 [size=\"68529493\", alpha=\"0.03\", expect_size=\"20558848\"] \n  25 -> 28 [size =\"20558848\"]\n  25 -> 30 [size =\"20558848\"]\n  26 [size=\"140219733\", alpha=\"0.13\", expect_size=\"42065920\"] \n  26 -> 28 [size =\"42065920\"]\n  26 -> 29 [size =\"42065920\"]\n  26 -> 30 [size =\"42065920\"]\n  27 [size=\"117609813\", alpha=\"0.10\", expect_size=\"35282944\"] \n  27 -> 28 [size =\"35282944\"]\n  27 -> 30 [size =\"35282944\"]\n  27 -> 30 [size =\"35282944\"]\n  28 [size=\"151773867\", alpha=\"0.01\", expect_size=\"45532160\"] \n  29 [size=\"101543253\", alpha=\"0.17\", expect_size=\"30462976\"] \n  30 [size=\"98717013\", alpha=\"0.19\", expect_size=\"29615104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94466048\", alpha=\"0.01\", expect_size=\"47233024\"] \n  1 -> 13 [size =\"47233024\"]\n  2 [size=\"14206976\", alpha=\"0.12\", expect_size=\"7103488\"] \n  2 -> 8 [size =\"7103488\"]\n  2 -> 10 [size =\"7103488\"]\n  2 -> 13 [size =\"7103488\"]\n  3 [size=\"27969536\", alpha=\"0.01\", expect_size=\"13984768\"] \n  3 -> 10 [size =\"13984768\"]\n  3 -> 12 [size =\"13984768\"]\n  3 -> 13 [size =\"13984768\"]\n  4 [size=\"44595200\", alpha=\"0.11\", expect_size=\"22297600\"] \n  4 -> 10 [size =\"22297600\"]\n  4 -> 11 [size =\"22297600\"]\n  4 -> 12 [size =\"22297600\"]\n  4 -> 13 [size =\"22297600\"]\n  5 [size=\"10604544\", alpha=\"0.11\", expect_size=\"5302272\"] \n  5 -> 9 [size =\"5302272\"]\n  5 -> 10 [size =\"5302272\"]\n  5 -> 12 [size =\"5302272\"]\n  6 [size=\"32901120\", alpha=\"0.10\", expect_size=\"16450560\"] \n  6 -> 10 [size =\"16450560\"]\n  6 -> 13 [size =\"16450560\"]\n  7 [size=\"84336640\", alpha=\"0.14\", expect_size=\"42168320\"] \n  7 -> 8 [size =\"42168320\"]\n  7 -> 12 [size =\"42168320\"]\n  7 -> 13 [size =\"42168320\"]\n  8 [size=\"99299328\", alpha=\"0.02\", expect_size=\"49649664\"] \n  8 -> 14 [size =\"49649664\"]\n  8 -> 15 [size =\"49649664\"]\n  8 -> 18 [size =\"49649664\"]\n  8 -> 19 [size =\"49649664\"]\n  8 -> 20 [size =\"49649664\"]\n  8 -> 26 [size =\"49649664\"]\n  8 -> 27 [size =\"49649664\"]\n  9 [size=\"11352064\", alpha=\"0.11\", expect_size=\"5676032\"] \n  9 -> 15 [size =\"5676032\"]\n  9 -> 15 [size =\"5676032\"]\n  9 -> 16 [size =\"5676032\"]\n  9 -> 19 [size =\"5676032\"]\n  9 -> 20 [size =\"5676032\"]\n  9 -> 21 [size =\"5676032\"]\n  9 -> 24 [size =\"5676032\"]\n  9 -> 26 [size =\"5676032\"]\n  9 -> 27 [size =\"5676032\"]\n  10 [size=\"33392640\", alpha=\"0.09\", expect_size=\"16696320\"] \n  10 -> 16 [size =\"16696320\"]\n  10 -> 19 [size =\"16696320\"]\n  10 -> 20 [size =\"16696320\"]\n  10 -> 21 [size =\"16696320\"]\n  10 -> 24 [size =\"16696320\"]\n  10 -> 26 [size =\"16696320\"]\n  10 -> 27 [size =\"16696320\"]\n  11 [size=\"39313408\", alpha=\"0.19\", expect_size=\"19656704\"] \n  11 -> 16 [size =\"19656704\"]\n  11 -> 19 [size =\"19656704\"]\n  11 -> 20 [size =\"19656704\"]\n  11 -> 21 [size =\"19656704\"]\n  11 -> 22 [size =\"19656704\"]\n  11 -> 24 [size =\"19656704\"]\n  11 -> 26 [size =\"19656704\"]\n  12 [size=\"43626496\", alpha=\"0.00\", expect_size=\"21813248\"] \n  12 -> 15 [size =\"21813248\"]\n  12 -> 17 [size =\"21813248\"]\n  12 -> 18 [size =\"21813248\"]\n  12 -> 20 [size =\"21813248\"]\n  12 -> 21 [size =\"21813248\"]\n  12 -> 24 [size =\"21813248\"]\n  12 -> 25 [size =\"21813248\"]\n  12 -> 26 [size =\"21813248\"]\n  12 -> 27 [size =\"21813248\"]\n  13 [size=\"101744640\", alpha=\"0.12\", expect_size=\"50872320\"] \n  13 -> 15 [size =\"50872320\"]\n  13 -> 16 [size =\"50872320\"]\n  13 -> 18 [size =\"50872320\"]\n  13 -> 19 [size =\"50872320\"]\n  13 -> 20 [size =\"50872320\"]\n  13 -> 21 [size =\"50872320\"]\n  13 -> 22 [size =\"50872320\"]\n  13 -> 23 [size =\"50872320\"]\n  13 -> 26 [size =\"50872320\"]\n  13 -> 27 [size =\"50872320\"]\n  14 [size=\"10979328\", alpha=\"0.07\", expect_size=\"5489664\"] \n  14 -> 29 [size =\"5489664\"]\n  14 -> 30 [size =\"5489664\"]\n  15 [size=\"65214464\", alpha=\"0.05\", expect_size=\"32607232\"] \n  15 -> 29 [size =\"32607232\"]\n  15 -> 30 [size =\"32607232\"]\n  16 [size=\"22581248\", alpha=\"0.12\", expect_size=\"11290624\"] \n  16 -> 28 [size =\"11290624\"]\n  16 -> 29 [size =\"11290624\"]\n  16 -> 30 [size =\"11290624\"]\n  17 [size=\"67868672\", alpha=\"0.06\", expect_size=\"33934336\"] \n  17 -> 28 [size =\"33934336\"]\n  17 -> 30 [size =\"33934336\"]\n  17 -> 30 [size =\"33934336\"]\n  18 [size=\"37996544\", alpha=\"0.02\", expect_size=\"18998272\"] \n  18 -> 28 [size =\"18998272\"]\n  18 -> 29 [size =\"18998272\"]\n  19 [size=\"49180672\", alpha=\"0.07\", expect_size=\"24590336\"] \n  19 -> 28 [size =\"24590336\"]\n  19 -> 29 [size =\"24590336\"]\n  20 [size=\"102936576\", alpha=\"0.16\", expect_size=\"51468288\"] \n  20 -> 29 [size =\"51468288\"]\n  21 [size=\"53055488\", alpha=\"0.03\", expect_size=\"26527744\"] \n  21 -> 28 [size =\"26527744\"]\n  21 -> 30 [size =\"26527744\"]\n  22 [size=\"48406528\", alpha=\"0.11\", expect_size=\"24203264\"] \n  22 -> 28 [size =\"24203264\"]\n  22 -> 30 [size =\"24203264\"]\n  23 [size=\"49451008\", alpha=\"0.02\", expect_size=\"24725504\"] \n  23 -> 28 [size =\"24725504\"]\n  23 -> 30 [size =\"24725504\"]\n  24 [size=\"12085248\", alpha=\"0.00\", expect_size=\"6042624\"] \n  24 -> 28 [size =\"6042624\"]\n  24 -> 29 [size =\"6042624\"]\n  24 -> 30 [size =\"6042624\"]\n  25 [size=\"44627968\", alpha=\"0.19\", expect_size=\"22313984\"] \n  25 -> 28 [size =\"22313984\"]\n  25 -> 29 [size =\"22313984\"]\n  25 -> 30 [size =\"22313984\"]\n  26 [size=\"70471680\", alpha=\"0.02\", expect_size=\"35235840\"] \n  26 -> 29 [size =\"35235840\"]\n  26 -> 30 [size =\"35235840\"]\n  27 [size=\"32737280\", alpha=\"0.01\", expect_size=\"16368640\"] \n  27 -> 29 [size =\"16368640\"]\n  27 -> 30 [size =\"16368640\"]\n  28 [size=\"63320064\", alpha=\"0.19\", expect_size=\"31660032\"] \n  29 [size=\"72351744\", alpha=\"0.17\", expect_size=\"36175872\"] \n  30 [size=\"12953600\", alpha=\"0.19\", expect_size=\"6476800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69632000\", alpha=\"0.13\", expect_size=\"20889600\"] \n  1 -> 4 [size =\"20889600\"]\n  1 -> 5 [size =\"20889600\"]\n  1 -> 6 [size =\"20889600\"]\n  2 [size=\"102417067\", alpha=\"0.08\", expect_size=\"30725120\"] \n  2 -> 4 [size =\"30725120\"]\n  2 -> 6 [size =\"30725120\"]\n  2 -> 7 [size =\"30725120\"]\n  2 -> 8 [size =\"30725120\"]\n  3 [size=\"21749760\", alpha=\"0.10\", expect_size=\"6524928\"] \n  3 -> 5 [size =\"6524928\"]\n  3 -> 8 [size =\"6524928\"]\n  4 [size=\"28033707\", alpha=\"0.19\", expect_size=\"8410112\"] \n  4 -> 11 [size =\"8410112\"]\n  4 -> 12 [size =\"8410112\"]\n  5 [size=\"46882133\", alpha=\"0.07\", expect_size=\"14064640\"] \n  5 -> 9 [size =\"14064640\"]\n  6 [size=\"74308267\", alpha=\"0.10\", expect_size=\"22292480\"] \n  6 -> 9 [size =\"22292480\"]\n  6 -> 10 [size =\"22292480\"]\n  7 [size=\"172042240\", alpha=\"0.03\", expect_size=\"51612672\"] \n  7 -> 13 [size =\"51612672\"]\n  8 [size=\"170154667\", alpha=\"0.16\", expect_size=\"51046400\"] \n  9 [size=\"36939093\", alpha=\"0.08\", expect_size=\"11081728\"] \n  9 -> 16 [size =\"11081728\"]\n  9 -> 18 [size =\"11081728\"]\n  10 [size=\"125538987\", alpha=\"0.02\", expect_size=\"37661696\"] \n  10 -> 14 [size =\"37661696\"]\n  10 -> 17 [size =\"37661696\"]\n  11 [size=\"93815467\", alpha=\"0.09\", expect_size=\"28144640\"] \n  11 -> 14 [size =\"28144640\"]\n  11 -> 15 [size =\"28144640\"]\n  12 [size=\"40147627\", alpha=\"0.09\", expect_size=\"12044288\"] \n  12 -> 15 [size =\"12044288\"]\n  12 -> 16 [size =\"12044288\"]\n  12 -> 17 [size =\"12044288\"]\n  13 [size=\"102304427\", alpha=\"0.06\", expect_size=\"30691328\"] \n  13 -> 16 [size =\"30691328\"]\n  14 [size=\"26709333\", alpha=\"0.02\", expect_size=\"8012800\"] \n  14 -> 19 [size =\"8012800\"]\n  14 -> 20 [size =\"8012800\"]\n  14 -> 22 [size =\"8012800\"]\n  15 [size=\"174687573\", alpha=\"0.00\", expect_size=\"52406272\"] \n  15 -> 21 [size =\"52406272\"]\n  15 -> 22 [size =\"52406272\"]\n  15 -> 23 [size =\"52406272\"]\n  16 [size=\"69454507\", alpha=\"0.08\", expect_size=\"20836352\"] \n  17 [size=\"146100907\", alpha=\"0.13\", expect_size=\"43830272\"] \n  17 -> 20 [size =\"43830272\"]\n  17 -> 21 [size =\"43830272\"]\n  18 [size=\"170591573\", alpha=\"0.01\", expect_size=\"51177472\"] \n  18 -> 24 [size =\"51177472\"]\n  19 [size=\"138315093\", alpha=\"0.03\", expect_size=\"41494528\"] \n  19 -> 26 [size =\"41494528\"]\n  19 -> 29 [size =\"41494528\"]\n  20 [size=\"46462293\", alpha=\"0.02\", expect_size=\"13938688\"] \n  20 -> 26 [size =\"13938688\"]\n  20 -> 29 [size =\"13938688\"]\n  21 [size=\"62556160\", alpha=\"0.09\", expect_size=\"18766848\"] \n  21 -> 25 [size =\"18766848\"]\n  21 -> 27 [size =\"18766848\"]\n  21 -> 29 [size =\"18766848\"]\n  22 [size=\"129955840\", alpha=\"0.06\", expect_size=\"38986752\"] \n  22 -> 25 [size =\"38986752\"]\n  22 -> 26 [size =\"38986752\"]\n  22 -> 27 [size =\"38986752\"]\n  22 -> 28 [size =\"38986752\"]\n  23 [size=\"42185387\", alpha=\"0.04\", expect_size=\"12655616\"] \n  24 [size=\"87292587\", alpha=\"0.03\", expect_size=\"26187776\"] \n  24 -> 25 [size =\"26187776\"]\n  25 [size=\"106762240\", alpha=\"0.06\", expect_size=\"32028672\"] \n  26 [size=\"109595307\", alpha=\"0.16\", expect_size=\"32878592\"] \n  27 [size=\"17937067\", alpha=\"0.06\", expect_size=\"5381120\"] \n  27 -> 30 [size =\"5381120\"]\n  28 [size=\"120162987\", alpha=\"0.15\", expect_size=\"36048896\"] \n  29 [size=\"124098560\", alpha=\"0.06\", expect_size=\"37229568\"] \n  30 [size=\"144599040\", alpha=\"0.12\", expect_size=\"43379712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51934720\", alpha=\"0.14\", expect_size=\"20773888\"] \n  2 [size=\"38581760\", alpha=\"0.10\", expect_size=\"15432704\"] \n  2 -> 3 [size =\"15432704\"]\n  3 [size=\"50767360\", alpha=\"0.08\", expect_size=\"20306944\"] \n  3 -> 4 [size =\"20306944\"]\n  3 -> 5 [size =\"20306944\"]\n  4 [size=\"49968640\", alpha=\"0.06\", expect_size=\"19987456\"] \n  4 -> 6 [size =\"19987456\"]\n  4 -> 7 [size =\"19987456\"]\n  5 [size=\"57318400\", alpha=\"0.13\", expect_size=\"22927360\"] \n  5 -> 6 [size =\"22927360\"]\n  5 -> 7 [size =\"22927360\"]\n  6 [size=\"35056640\", alpha=\"0.08\", expect_size=\"14022656\"] \n  6 -> 8 [size =\"14022656\"]\n  6 -> 9 [size =\"14022656\"]\n  7 [size=\"98762240\", alpha=\"0.02\", expect_size=\"39504896\"] \n  7 -> 8 [size =\"39504896\"]\n  7 -> 9 [size =\"39504896\"]\n  8 [size=\"19148800\", alpha=\"0.13\", expect_size=\"7659520\"] \n  8 -> 10 [size =\"7659520\"]\n  8 -> 11 [size =\"7659520\"]\n  9 [size=\"19816960\", alpha=\"0.06\", expect_size=\"7926784\"] \n  9 -> 10 [size =\"7926784\"]\n  9 -> 11 [size =\"7926784\"]\n  10 [size=\"13570560\", alpha=\"0.10\", expect_size=\"5428224\"] \n  10 -> 12 [size =\"5428224\"]\n  11 [size=\"118402560\", alpha=\"0.03\", expect_size=\"47361024\"] \n  11 -> 12 [size =\"47361024\"]\n  12 [size=\"85619200\", alpha=\"0.09\", expect_size=\"34247680\"] \n  12 -> 13 [size =\"34247680\"]\n  12 -> 14 [size =\"34247680\"]\n  13 [size=\"26088960\", alpha=\"0.04\", expect_size=\"10435584\"] \n  14 [size=\"73866240\", alpha=\"0.04\", expect_size=\"29546496\"] \n  14 -> 15 [size =\"29546496\"]\n  15 [size=\"108072960\", alpha=\"0.02\", expect_size=\"43229184\"] \n  15 -> 16 [size =\"43229184\"]\n  16 [size=\"65029120\", alpha=\"0.12\", expect_size=\"26011648\"] \n  16 -> 17 [size =\"26011648\"]\n  16 -> 18 [size =\"26011648\"]\n  17 [size=\"111994880\", alpha=\"0.07\", expect_size=\"44797952\"] \n  17 -> 19 [size =\"44797952\"]\n  18 [size=\"123389440\", alpha=\"0.10\", expect_size=\"49355776\"] \n  19 [size=\"83829760\", alpha=\"0.07\", expect_size=\"33531904\"] \n  19 -> 20 [size =\"33531904\"]\n  19 -> 21 [size =\"33531904\"]\n  20 [size=\"118138880\", alpha=\"0.17\", expect_size=\"47255552\"] \n  20 -> 22 [size =\"47255552\"]\n  20 -> 23 [size =\"47255552\"]\n  21 [size=\"57041920\", alpha=\"0.14\", expect_size=\"22816768\"] \n  21 -> 22 [size =\"22816768\"]\n  21 -> 23 [size =\"22816768\"]\n  22 [size=\"76231680\", alpha=\"0.16\", expect_size=\"30492672\"] \n  22 -> 25 [size =\"30492672\"]\n  23 [size=\"129100800\", alpha=\"0.04\", expect_size=\"51640320\"] \n  23 -> 24 [size =\"51640320\"]\n  23 -> 25 [size =\"51640320\"]\n  24 [size=\"37358080\", alpha=\"0.18\", expect_size=\"14943232\"] \n  24 -> 26 [size =\"14943232\"]\n  24 -> 27 [size =\"14943232\"]\n  25 [size=\"63183360\", alpha=\"0.19\", expect_size=\"25273344\"] \n  25 -> 26 [size =\"25273344\"]\n  25 -> 27 [size =\"25273344\"]\n  26 [size=\"72424960\", alpha=\"0.05\", expect_size=\"28969984\"] \n  27 [size=\"22694400\", alpha=\"0.05\", expect_size=\"9077760\"] \n  27 -> 28 [size =\"9077760\"]\n  28 [size=\"66803200\", alpha=\"0.05\", expect_size=\"26721280\"] \n  28 -> 29 [size =\"26721280\"]\n  28 -> 30 [size =\"26721280\"]\n  29 [size=\"123578880\", alpha=\"0.07\", expect_size=\"49431552\"] \n  30 [size=\"45235200\", alpha=\"0.09\", expect_size=\"18094080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14056960\", alpha=\"0.05\", expect_size=\"5622784\"] \n  1 -> 21 [size =\"5622784\"]\n  1 -> 23 [size =\"5622784\"]\n  2 [size=\"121886720\", alpha=\"0.03\", expect_size=\"48754688\"] \n  2 -> 21 [size =\"48754688\"]\n  2 -> 22 [size =\"48754688\"]\n  2 -> 28 [size =\"48754688\"]\n  2 -> 29 [size =\"48754688\"]\n  2 -> 30 [size =\"48754688\"]\n  3 [size=\"92472320\", alpha=\"0.04\", expect_size=\"36988928\"] \n  3 -> 25 [size =\"36988928\"]\n  3 -> 30 [size =\"36988928\"]\n  4 [size=\"121466880\", alpha=\"0.09\", expect_size=\"48586752\"] \n  4 -> 30 [size =\"48586752\"]\n  5 [size=\"39797760\", alpha=\"0.07\", expect_size=\"15919104\"] \n  5 -> 27 [size =\"15919104\"]\n  6 [size=\"126400000\", alpha=\"0.11\", expect_size=\"50560000\"] \n  6 -> 22 [size =\"50560000\"]\n  6 -> 24 [size =\"50560000\"]\n  6 -> 27 [size =\"50560000\"]\n  6 -> 29 [size =\"50560000\"]\n  7 [size=\"128071680\", alpha=\"0.14\", expect_size=\"51228672\"] \n  7 -> 25 [size =\"51228672\"]\n  8 [size=\"68618240\", alpha=\"0.08\", expect_size=\"27447296\"] \n  8 -> 28 [size =\"27447296\"]\n  8 -> 30 [size =\"27447296\"]\n  9 [size=\"36305920\", alpha=\"0.14\", expect_size=\"14522368\"] \n  9 -> 25 [size =\"14522368\"]\n  9 -> 30 [size =\"14522368\"]\n  10 [size=\"120381440\", alpha=\"0.03\", expect_size=\"48152576\"] \n  10 -> 26 [size =\"48152576\"]\n  10 -> 30 [size =\"48152576\"]\n  11 [size=\"120396800\", alpha=\"0.17\", expect_size=\"48158720\"] \n  11 -> 22 [size =\"48158720\"]\n  11 -> 23 [size =\"48158720\"]\n  11 -> 30 [size =\"48158720\"]\n  12 [size=\"33093120\", alpha=\"0.03\", expect_size=\"13237248\"] \n  12 -> 25 [size =\"13237248\"]\n  12 -> 27 [size =\"13237248\"]\n  12 -> 29 [size =\"13237248\"]\n  12 -> 30 [size =\"13237248\"]\n  13 [size=\"48650240\", alpha=\"0.18\", expect_size=\"19460096\"] \n  13 -> 29 [size =\"19460096\"]\n  14 [size=\"73082880\", alpha=\"0.15\", expect_size=\"29233152\"] \n  14 -> 22 [size =\"29233152\"]\n  14 -> 23 [size =\"29233152\"]\n  15 [size=\"128345600\", alpha=\"0.05\", expect_size=\"51338240\"] \n  15 -> 28 [size =\"51338240\"]\n  15 -> 30 [size =\"51338240\"]\n  16 [size=\"53875200\", alpha=\"0.04\", expect_size=\"21550080\"] \n  17 [size=\"120673280\", alpha=\"0.06\", expect_size=\"48269312\"] \n  17 -> 26 [size =\"48269312\"]\n  17 -> 28 [size =\"48269312\"]\n  17 -> 30 [size =\"48269312\"]\n  18 [size=\"84600320\", alpha=\"0.09\", expect_size=\"33840128\"] \n  18 -> 23 [size =\"33840128\"]\n  18 -> 27 [size =\"33840128\"]\n  18 -> 29 [size =\"33840128\"]\n  19 [size=\"14632960\", alpha=\"0.19\", expect_size=\"5853184\"] \n  19 -> 21 [size =\"5853184\"]\n  20 [size=\"97525760\", alpha=\"0.15\", expect_size=\"39010304\"] \n  20 -> 21 [size =\"39010304\"]\n  21 [size=\"115740160\", alpha=\"0.11\", expect_size=\"46296064\"] \n  22 [size=\"99107840\", alpha=\"0.06\", expect_size=\"39643136\"] \n  23 [size=\"114278400\", alpha=\"0.14\", expect_size=\"45711360\"] \n  24 [size=\"104355840\", alpha=\"0.01\", expect_size=\"41742336\"] \n  25 [size=\"75947520\", alpha=\"0.12\", expect_size=\"30379008\"] \n  26 [size=\"106135040\", alpha=\"0.02\", expect_size=\"42454016\"] \n  27 [size=\"129008640\", alpha=\"0.12\", expect_size=\"51603456\"] \n  28 [size=\"44789760\", alpha=\"0.11\", expect_size=\"17915904\"] \n  29 [size=\"95889920\", alpha=\"0.15\", expect_size=\"38355968\"] \n  30 [size=\"89745920\", alpha=\"0.16\", expect_size=\"35898368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116467200\", alpha=\"0.14\", expect_size=\"46586880\"] \n  1 -> 2 [size =\"46586880\"]\n  1 -> 3 [size =\"46586880\"]\n  2 [size=\"22983680\", alpha=\"0.02\", expect_size=\"9193472\"] \n  2 -> 4 [size =\"9193472\"]\n  3 [size=\"112967680\", alpha=\"0.08\", expect_size=\"45187072\"] \n  4 [size=\"115194880\", alpha=\"0.10\", expect_size=\"46077952\"] \n  4 -> 5 [size =\"46077952\"]\n  5 [size=\"16619520\", alpha=\"0.12\", expect_size=\"6647808\"] \n  5 -> 6 [size =\"6647808\"]\n  5 -> 7 [size =\"6647808\"]\n  6 [size=\"56711680\", alpha=\"0.10\", expect_size=\"22684672\"] \n  6 -> 8 [size =\"22684672\"]\n  7 [size=\"55024640\", alpha=\"0.15\", expect_size=\"22009856\"] \n  7 -> 9 [size =\"22009856\"]\n  8 [size=\"49067520\", alpha=\"0.10\", expect_size=\"19627008\"] \n  8 -> 11 [size =\"19627008\"]\n  9 [size=\"65259520\", alpha=\"0.04\", expect_size=\"26103808\"] \n  9 -> 10 [size =\"26103808\"]\n  9 -> 11 [size =\"26103808\"]\n  10 [size=\"113105920\", alpha=\"0.13\", expect_size=\"45242368\"] \n  11 [size=\"90910720\", alpha=\"0.15\", expect_size=\"36364288\"] \n  11 -> 12 [size =\"36364288\"]\n  12 [size=\"53813760\", alpha=\"0.09\", expect_size=\"21525504\"] \n  12 -> 13 [size =\"21525504\"]\n  13 [size=\"64197120\", alpha=\"0.01\", expect_size=\"25678848\"] \n  13 -> 14 [size =\"25678848\"]\n  13 -> 15 [size =\"25678848\"]\n  14 [size=\"109442560\", alpha=\"0.01\", expect_size=\"43777024\"] \n  14 -> 16 [size =\"43777024\"]\n  15 [size=\"51978240\", alpha=\"0.18\", expect_size=\"20791296\"] \n  15 -> 16 [size =\"20791296\"]\n  15 -> 17 [size =\"20791296\"]\n  16 [size=\"125168640\", alpha=\"0.07\", expect_size=\"50067456\"] \n  16 -> 18 [size =\"50067456\"]\n  17 [size=\"63505920\", alpha=\"0.20\", expect_size=\"25402368\"] \n  17 -> 18 [size =\"25402368\"]\n  17 -> 19 [size =\"25402368\"]\n  18 [size=\"34332160\", alpha=\"0.08\", expect_size=\"13732864\"] \n  18 -> 20 [size =\"13732864\"]\n  19 [size=\"91550720\", alpha=\"0.07\", expect_size=\"36620288\"] \n  19 -> 20 [size =\"36620288\"]\n  20 [size=\"113080320\", alpha=\"0.20\", expect_size=\"45232128\"] \n  20 -> 21 [size =\"45232128\"]\n  20 -> 22 [size =\"45232128\"]\n  21 [size=\"72634880\", alpha=\"0.11\", expect_size=\"29053952\"] \n  21 -> 23 [size =\"29053952\"]\n  21 -> 24 [size =\"29053952\"]\n  22 [size=\"44247040\", alpha=\"0.03\", expect_size=\"17698816\"] \n  22 -> 23 [size =\"17698816\"]\n  22 -> 24 [size =\"17698816\"]\n  23 [size=\"97541120\", alpha=\"0.13\", expect_size=\"39016448\"] \n  23 -> 25 [size =\"39016448\"]\n  24 [size=\"102709760\", alpha=\"0.19\", expect_size=\"41083904\"] \n  24 -> 25 [size =\"41083904\"]\n  25 [size=\"108861440\", alpha=\"0.07\", expect_size=\"43544576\"] \n  25 -> 26 [size =\"43544576\"]\n  25 -> 27 [size =\"43544576\"]\n  26 [size=\"94881280\", alpha=\"0.01\", expect_size=\"37952512\"] \n  26 -> 28 [size =\"37952512\"]\n  27 [size=\"16145920\", alpha=\"0.03\", expect_size=\"6458368\"] \n  28 [size=\"15941120\", alpha=\"0.11\", expect_size=\"6376448\"] \n  28 -> 29 [size =\"6376448\"]\n  28 -> 30 [size =\"6376448\"]\n  29 [size=\"60935680\", alpha=\"0.08\", expect_size=\"24374272\"] \n  30 [size=\"99466240\", alpha=\"0.02\", expect_size=\"39786496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50469547\", alpha=\"0.20\", expect_size=\"15140864\"] \n  1 -> 24 [size =\"15140864\"]\n  1 -> 27 [size =\"15140864\"]\n  2 [size=\"63870293\", alpha=\"0.06\", expect_size=\"19161088\"] \n  2 -> 27 [size =\"19161088\"]\n  2 -> 29 [size =\"19161088\"]\n  3 [size=\"156265813\", alpha=\"0.15\", expect_size=\"46879744\"] \n  3 -> 29 [size =\"46879744\"]\n  4 [size=\"104246613\", alpha=\"0.03\", expect_size=\"31273984\"] \n  4 -> 26 [size =\"31273984\"]\n  4 -> 29 [size =\"31273984\"]\n  5 [size=\"45100373\", alpha=\"0.02\", expect_size=\"13530112\"] \n  5 -> 23 [size =\"13530112\"]\n  5 -> 26 [size =\"13530112\"]\n  6 [size=\"174359893\", alpha=\"0.04\", expect_size=\"52307968\"] \n  6 -> 27 [size =\"52307968\"]\n  6 -> 28 [size =\"52307968\"]\n  6 -> 30 [size =\"52307968\"]\n  7 [size=\"55299413\", alpha=\"0.10\", expect_size=\"16589824\"] \n  7 -> 28 [size =\"16589824\"]\n  8 [size=\"84698453\", alpha=\"0.16\", expect_size=\"25409536\"] \n  8 -> 21 [size =\"25409536\"]\n  8 -> 22 [size =\"25409536\"]\n  8 -> 25 [size =\"25409536\"]\n  8 -> 28 [size =\"25409536\"]\n  8 -> 30 [size =\"25409536\"]\n  9 [size=\"96621227\", alpha=\"0.01\", expect_size=\"28986368\"] \n  9 -> 21 [size =\"28986368\"]\n  9 -> 22 [size =\"28986368\"]\n  9 -> 25 [size =\"28986368\"]\n  10 [size=\"37369173\", alpha=\"0.08\", expect_size=\"11210752\"] \n  10 -> 22 [size =\"11210752\"]\n  10 -> 25 [size =\"11210752\"]\n  10 -> 26 [size =\"11210752\"]\n  10 -> 30 [size =\"11210752\"]\n  11 [size=\"138915840\", alpha=\"0.18\", expect_size=\"41674752\"] \n  11 -> 23 [size =\"41674752\"]\n  11 -> 26 [size =\"41674752\"]\n  11 -> 28 [size =\"41674752\"]\n  11 -> 30 [size =\"41674752\"]\n  12 [size=\"137024853\", alpha=\"0.12\", expect_size=\"41107456\"] \n  12 -> 28 [size =\"41107456\"]\n  13 [size=\"27303253\", alpha=\"0.14\", expect_size=\"8190976\"] \n  13 -> 26 [size =\"8190976\"]\n  14 [size=\"142684160\", alpha=\"0.13\", expect_size=\"42805248\"] \n  14 -> 21 [size =\"42805248\"]\n  14 -> 22 [size =\"42805248\"]\n  14 -> 23 [size =\"42805248\"]\n  14 -> 27 [size =\"42805248\"]\n  15 [size=\"168164693\", alpha=\"0.19\", expect_size=\"50449408\"] \n  15 -> 22 [size =\"50449408\"]\n  15 -> 22 [size =\"50449408\"]\n  15 -> 25 [size =\"50449408\"]\n  15 -> 26 [size =\"50449408\"]\n  15 -> 29 [size =\"50449408\"]\n  15 -> 30 [size =\"50449408\"]\n  16 [size=\"23292587\", alpha=\"0.03\", expect_size=\"6987776\"] \n  16 -> 21 [size =\"6987776\"]\n  16 -> 30 [size =\"6987776\"]\n  17 [size=\"53848747\", alpha=\"0.09\", expect_size=\"16154624\"] \n  17 -> 21 [size =\"16154624\"]\n  17 -> 25 [size =\"16154624\"]\n  17 -> 27 [size =\"16154624\"]\n  17 -> 28 [size =\"16154624\"]\n  17 -> 30 [size =\"16154624\"]\n  18 [size=\"129706667\", alpha=\"0.09\", expect_size=\"38912000\"] \n  18 -> 22 [size =\"38912000\"]\n  18 -> 29 [size =\"38912000\"]\n  18 -> 30 [size =\"38912000\"]\n  19 [size=\"97658880\", alpha=\"0.15\", expect_size=\"29297664\"] \n  19 -> 25 [size =\"29297664\"]\n  19 -> 26 [size =\"29297664\"]\n  20 [size=\"103833600\", alpha=\"0.09\", expect_size=\"31150080\"] \n  20 -> 22 [size =\"31150080\"]\n  21 [size=\"169499307\", alpha=\"0.08\", expect_size=\"50849792\"] \n  22 [size=\"152821760\", alpha=\"0.12\", expect_size=\"45846528\"] \n  23 [size=\"89483947\", alpha=\"0.15\", expect_size=\"26845184\"] \n  24 [size=\"43994453\", alpha=\"0.08\", expect_size=\"13198336\"] \n  25 [size=\"145319253\", alpha=\"0.05\", expect_size=\"43595776\"] \n  26 [size=\"139226453\", alpha=\"0.02\", expect_size=\"41767936\"] \n  27 [size=\"162877440\", alpha=\"0.03\", expect_size=\"48863232\"] \n  28 [size=\"73758720\", alpha=\"0.13\", expect_size=\"22127616\"] \n  29 [size=\"147326293\", alpha=\"0.14\", expect_size=\"44197888\"] \n  30 [size=\"104396800\", alpha=\"0.16\", expect_size=\"31319040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75062613\", alpha=\"0.19\", expect_size=\"22518784\"] \n  1 -> 8 [size =\"22518784\"]\n  1 -> 9 [size =\"22518784\"]\n  1 -> 10 [size =\"22518784\"]\n  1 -> 13 [size =\"22518784\"]\n  1 -> 14 [size =\"22518784\"]\n  1 -> 15 [size =\"22518784\"]\n  1 -> 16 [size =\"22518784\"]\n  2 [size=\"81066667\", alpha=\"0.16\", expect_size=\"24320000\"] \n  2 -> 8 [size =\"24320000\"]\n  2 -> 9 [size =\"24320000\"]\n  2 -> 11 [size =\"24320000\"]\n  2 -> 12 [size =\"24320000\"]\n  2 -> 14 [size =\"24320000\"]\n  2 -> 15 [size =\"24320000\"]\n  2 -> 17 [size =\"24320000\"]\n  3 [size=\"138035200\", alpha=\"0.15\", expect_size=\"41410560\"] \n  3 -> 8 [size =\"41410560\"]\n  3 -> 9 [size =\"41410560\"]\n  3 -> 10 [size =\"41410560\"]\n  3 -> 11 [size =\"41410560\"]\n  3 -> 13 [size =\"41410560\"]\n  3 -> 14 [size =\"41410560\"]\n  3 -> 15 [size =\"41410560\"]\n  4 [size=\"61849600\", alpha=\"0.05\", expect_size=\"18554880\"] \n  4 -> 8 [size =\"18554880\"]\n  4 -> 12 [size =\"18554880\"]\n  4 -> 13 [size =\"18554880\"]\n  4 -> 14 [size =\"18554880\"]\n  4 -> 16 [size =\"18554880\"]\n  4 -> 18 [size =\"18554880\"]\n  5 [size=\"168772267\", alpha=\"0.02\", expect_size=\"50631680\"] \n  5 -> 8 [size =\"50631680\"]\n  5 -> 11 [size =\"50631680\"]\n  5 -> 13 [size =\"50631680\"]\n  5 -> 14 [size =\"50631680\"]\n  5 -> 18 [size =\"50631680\"]\n  5 -> 19 [size =\"50631680\"]\n  6 [size=\"24023040\", alpha=\"0.09\", expect_size=\"7206912\"] \n  6 -> 9 [size =\"7206912\"]\n  6 -> 11 [size =\"7206912\"]\n  6 -> 13 [size =\"7206912\"]\n  6 -> 14 [size =\"7206912\"]\n  6 -> 16 [size =\"7206912\"]\n  6 -> 17 [size =\"7206912\"]\n  7 [size=\"161617920\", alpha=\"0.01\", expect_size=\"48485376\"] \n  7 -> 8 [size =\"48485376\"]\n  7 -> 10 [size =\"48485376\"]\n  7 -> 15 [size =\"48485376\"]\n  8 [size=\"62979413\", alpha=\"0.04\", expect_size=\"18893824\"] \n  8 -> 20 [size =\"18893824\"]\n  8 -> 21 [size =\"18893824\"]\n  8 -> 25 [size =\"18893824\"]\n  9 [size=\"137960107\", alpha=\"0.10\", expect_size=\"41388032\"] \n  9 -> 20 [size =\"41388032\"]\n  9 -> 23 [size =\"41388032\"]\n  9 -> 24 [size =\"41388032\"]\n  9 -> 26 [size =\"41388032\"]\n  10 [size=\"154299733\", alpha=\"0.17\", expect_size=\"46289920\"] \n  10 -> 20 [size =\"46289920\"]\n  10 -> 24 [size =\"46289920\"]\n  10 -> 24 [size =\"46289920\"]\n  10 -> 26 [size =\"46289920\"]\n  11 [size=\"174380373\", alpha=\"0.02\", expect_size=\"52314112\"] \n  11 -> 20 [size =\"52314112\"]\n  11 -> 22 [size =\"52314112\"]\n  12 [size=\"164761600\", alpha=\"0.02\", expect_size=\"49428480\"] \n  12 -> 20 [size =\"49428480\"]\n  12 -> 23 [size =\"49428480\"]\n  12 -> 24 [size =\"49428480\"]\n  12 -> 26 [size =\"49428480\"]\n  13 [size=\"133208747\", alpha=\"0.10\", expect_size=\"39962624\"] \n  13 -> 20 [size =\"39962624\"]\n  13 -> 21 [size =\"39962624\"]\n  13 -> 24 [size =\"39962624\"]\n  13 -> 26 [size =\"39962624\"]\n  14 [size=\"94877013\", alpha=\"0.14\", expect_size=\"28463104\"] \n  14 -> 20 [size =\"28463104\"]\n  14 -> 26 [size =\"28463104\"]\n  15 [size=\"135953067\", alpha=\"0.15\", expect_size=\"40785920\"] \n  15 -> 20 [size =\"40785920\"]\n  15 -> 21 [size =\"40785920\"]\n  15 -> 25 [size =\"40785920\"]\n  15 -> 26 [size =\"40785920\"]\n  16 [size=\"152596480\", alpha=\"0.03\", expect_size=\"45778944\"] \n  16 -> 20 [size =\"45778944\"]\n  16 -> 21 [size =\"45778944\"]\n  17 [size=\"62699520\", alpha=\"0.08\", expect_size=\"18809856\"] \n  17 -> 21 [size =\"18809856\"]\n  17 -> 25 [size =\"18809856\"]\n  17 -> 26 [size =\"18809856\"]\n  18 [size=\"68720640\", alpha=\"0.17\", expect_size=\"20616192\"] \n  18 -> 20 [size =\"20616192\"]\n  18 -> 21 [size =\"20616192\"]\n  18 -> 25 [size =\"20616192\"]\n  19 [size=\"100877653\", alpha=\"0.03\", expect_size=\"30263296\"] \n  19 -> 20 [size =\"30263296\"]\n  19 -> 21 [size =\"30263296\"]\n  19 -> 25 [size =\"30263296\"]\n  19 -> 27 [size =\"30263296\"]\n  20 [size=\"26050560\", alpha=\"0.09\", expect_size=\"7815168\"] \n  20 -> 30 [size =\"7815168\"]\n  21 [size=\"160112640\", alpha=\"0.02\", expect_size=\"48033792\"] \n  22 [size=\"19230720\", alpha=\"0.03\", expect_size=\"5769216\"] \n  22 -> 30 [size =\"5769216\"]\n  23 [size=\"37434027\", alpha=\"0.20\", expect_size=\"11230208\"] \n  23 -> 30 [size =\"11230208\"]\n  24 [size=\"118022827\", alpha=\"0.02\", expect_size=\"35406848\"] \n  24 -> 29 [size =\"35406848\"]\n  24 -> 30 [size =\"35406848\"]\n  25 [size=\"70205440\", alpha=\"0.03\", expect_size=\"21061632\"] \n  25 -> 30 [size =\"21061632\"]\n  26 [size=\"31020373\", alpha=\"0.05\", expect_size=\"9306112\"] \n  26 -> 28 [size =\"9306112\"]\n  26 -> 30 [size =\"9306112\"]\n  27 [size=\"57722880\", alpha=\"0.06\", expect_size=\"17316864\"] \n  28 [size=\"117282133\", alpha=\"0.12\", expect_size=\"35184640\"] \n  29 [size=\"93228373\", alpha=\"0.14\", expect_size=\"27968512\"] \n  30 [size=\"117500587\", alpha=\"0.13\", expect_size=\"35250176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152517973\", alpha=\"0.10\", expect_size=\"45755392\"] \n  1 -> 3 [size =\"45755392\"]\n  2 [size=\"66819413\", alpha=\"0.10\", expect_size=\"20045824\"] \n  2 -> 3 [size =\"20045824\"]\n  2 -> 4 [size =\"20045824\"]\n  3 [size=\"54835200\", alpha=\"0.11\", expect_size=\"16450560\"] \n  3 -> 5 [size =\"16450560\"]\n  3 -> 6 [size =\"16450560\"]\n  4 [size=\"86384640\", alpha=\"0.15\", expect_size=\"25915392\"] \n  5 [size=\"57647787\", alpha=\"0.13\", expect_size=\"17294336\"] \n  5 -> 7 [size =\"17294336\"]\n  6 [size=\"99126613\", alpha=\"0.17\", expect_size=\"29737984\"] \n  6 -> 7 [size =\"29737984\"]\n  7 [size=\"123613867\", alpha=\"0.19\", expect_size=\"37084160\"] \n  7 -> 8 [size =\"37084160\"]\n  7 -> 9 [size =\"37084160\"]\n  8 [size=\"39038293\", alpha=\"0.14\", expect_size=\"11711488\"] \n  8 -> 10 [size =\"11711488\"]\n  9 [size=\"125699413\", alpha=\"0.07\", expect_size=\"37709824\"] \n  9 -> 10 [size =\"37709824\"]\n  10 [size=\"152545280\", alpha=\"0.18\", expect_size=\"45763584\"] \n  10 -> 11 [size =\"45763584\"]\n  11 [size=\"149476693\", alpha=\"0.19\", expect_size=\"44843008\"] \n  11 -> 12 [size =\"44843008\"]\n  11 -> 13 [size =\"44843008\"]\n  12 [size=\"74400427\", alpha=\"0.18\", expect_size=\"22320128\"] \n  13 [size=\"149947733\", alpha=\"0.06\", expect_size=\"44984320\"] \n  13 -> 14 [size =\"44984320\"]\n  14 [size=\"83080533\", alpha=\"0.14\", expect_size=\"24924160\"] \n  14 -> 15 [size =\"24924160\"]\n  15 [size=\"40874667\", alpha=\"0.18\", expect_size=\"12262400\"] \n  15 -> 16 [size =\"12262400\"]\n  15 -> 17 [size =\"12262400\"]\n  16 [size=\"144721920\", alpha=\"0.17\", expect_size=\"43416576\"] \n  16 -> 18 [size =\"43416576\"]\n  16 -> 19 [size =\"43416576\"]\n  17 [size=\"120869547\", alpha=\"0.16\", expect_size=\"36260864\"] \n  17 -> 18 [size =\"36260864\"]\n  18 [size=\"115271680\", alpha=\"0.11\", expect_size=\"34581504\"] \n  18 -> 20 [size =\"34581504\"]\n  18 -> 21 [size =\"34581504\"]\n  19 [size=\"64559787\", alpha=\"0.13\", expect_size=\"19367936\"] \n  19 -> 21 [size =\"19367936\"]\n  20 [size=\"117422080\", alpha=\"0.12\", expect_size=\"35226624\"] \n  20 -> 22 [size =\"35226624\"]\n  21 [size=\"103277227\", alpha=\"0.07\", expect_size=\"30983168\"] \n  22 [size=\"97447253\", alpha=\"0.09\", expect_size=\"29234176\"] \n  22 -> 23 [size =\"29234176\"]\n  22 -> 24 [size =\"29234176\"]\n  23 [size=\"82008747\", alpha=\"0.16\", expect_size=\"24602624\"] \n  23 -> 25 [size =\"24602624\"]\n  24 [size=\"125399040\", alpha=\"0.12\", expect_size=\"37619712\"] \n  24 -> 25 [size =\"37619712\"]\n  25 [size=\"77417813\", alpha=\"0.12\", expect_size=\"23225344\"] \n  25 -> 26 [size =\"23225344\"]\n  25 -> 27 [size =\"23225344\"]\n  26 [size=\"64576853\", alpha=\"0.03\", expect_size=\"19373056\"] \n  26 -> 29 [size =\"19373056\"]\n  27 [size=\"44656640\", alpha=\"0.08\", expect_size=\"13396992\"] \n  27 -> 28 [size =\"13396992\"]\n  27 -> 29 [size =\"13396992\"]\n  28 [size=\"173561173\", alpha=\"0.15\", expect_size=\"52068352\"] \n  28 -> 30 [size =\"52068352\"]\n  29 [size=\"102389760\", alpha=\"0.16\", expect_size=\"30716928\"] \n  29 -> 30 [size =\"30716928\"]\n  30 [size=\"48380587\", alpha=\"0.14\", expect_size=\"14514176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160204800\", alpha=\"0.03\", expect_size=\"48061440\"] \n  1 -> 13 [size =\"48061440\"]\n  1 -> 14 [size =\"48061440\"]\n  1 -> 15 [size =\"48061440\"]\n  1 -> 16 [size =\"48061440\"]\n  1 -> 17 [size =\"48061440\"]\n  2 [size=\"77557760\", alpha=\"0.15\", expect_size=\"23267328\"] \n  2 -> 12 [size =\"23267328\"]\n  2 -> 15 [size =\"23267328\"]\n  2 -> 17 [size =\"23267328\"]\n  3 [size=\"38983680\", alpha=\"0.11\", expect_size=\"11695104\"] \n  3 -> 13 [size =\"11695104\"]\n  3 -> 16 [size =\"11695104\"]\n  3 -> 17 [size =\"11695104\"]\n  3 -> 18 [size =\"11695104\"]\n  3 -> 19 [size =\"11695104\"]\n  3 -> 20 [size =\"11695104\"]\n  4 [size=\"152695467\", alpha=\"0.03\", expect_size=\"45808640\"] \n  4 -> 13 [size =\"45808640\"]\n  4 -> 14 [size =\"45808640\"]\n  4 -> 15 [size =\"45808640\"]\n  4 -> 17 [size =\"45808640\"]\n  5 [size=\"32768000\", alpha=\"0.02\", expect_size=\"9830400\"] \n  5 -> 15 [size =\"9830400\"]\n  5 -> 19 [size =\"9830400\"]\n  5 -> 20 [size =\"9830400\"]\n  6 [size=\"155194027\", alpha=\"0.14\", expect_size=\"46558208\"] \n  6 -> 13 [size =\"46558208\"]\n  6 -> 16 [size =\"46558208\"]\n  6 -> 20 [size =\"46558208\"]\n  7 [size=\"39710720\", alpha=\"0.14\", expect_size=\"11913216\"] \n  7 -> 13 [size =\"11913216\"]\n  7 -> 14 [size =\"11913216\"]\n  7 -> 15 [size =\"11913216\"]\n  7 -> 16 [size =\"11913216\"]\n  7 -> 17 [size =\"11913216\"]\n  7 -> 18 [size =\"11913216\"]\n  7 -> 20 [size =\"11913216\"]\n  8 [size=\"88497493\", alpha=\"0.16\", expect_size=\"26549248\"] \n  8 -> 13 [size =\"26549248\"]\n  8 -> 14 [size =\"26549248\"]\n  8 -> 15 [size =\"26549248\"]\n  8 -> 16 [size =\"26549248\"]\n  8 -> 17 [size =\"26549248\"]\n  8 -> 20 [size =\"26549248\"]\n  8 -> 20 [size =\"26549248\"]\n  9 [size=\"171601920\", alpha=\"0.11\", expect_size=\"51480576\"] \n  9 -> 14 [size =\"51480576\"]\n  9 -> 14 [size =\"51480576\"]\n  9 -> 15 [size =\"51480576\"]\n  9 -> 16 [size =\"51480576\"]\n  9 -> 17 [size =\"51480576\"]\n  9 -> 20 [size =\"51480576\"]\n  10 [size=\"171615573\", alpha=\"0.04\", expect_size=\"51484672\"] \n  10 -> 11 [size =\"51484672\"]\n  10 -> 14 [size =\"51484672\"]\n  10 -> 18 [size =\"51484672\"]\n  10 -> 19 [size =\"51484672\"]\n  11 [size=\"98693120\", alpha=\"0.16\", expect_size=\"29607936\"] \n  11 -> 21 [size =\"29607936\"]\n  11 -> 24 [size =\"29607936\"]\n  11 -> 24 [size =\"29607936\"]\n  11 -> 25 [size =\"29607936\"]\n  11 -> 30 [size =\"29607936\"]\n  12 [size=\"119534933\", alpha=\"0.07\", expect_size=\"35860480\"] \n  12 -> 23 [size =\"35860480\"]\n  12 -> 30 [size =\"35860480\"]\n  13 [size=\"77100373\", alpha=\"0.14\", expect_size=\"23130112\"] \n  13 -> 21 [size =\"23130112\"]\n  13 -> 24 [size =\"23130112\"]\n  13 -> 25 [size =\"23130112\"]\n  14 [size=\"162112853\", alpha=\"0.13\", expect_size=\"48633856\"] \n  14 -> 24 [size =\"48633856\"]\n  14 -> 26 [size =\"48633856\"]\n  14 -> 30 [size =\"48633856\"]\n  15 [size=\"27750400\", alpha=\"0.07\", expect_size=\"8325120\"] \n  15 -> 23 [size =\"8325120\"]\n  15 -> 24 [size =\"8325120\"]\n  15 -> 30 [size =\"8325120\"]\n  16 [size=\"44595200\", alpha=\"0.01\", expect_size=\"13378560\"] \n  16 -> 22 [size =\"13378560\"]\n  16 -> 30 [size =\"13378560\"]\n  17 [size=\"155136000\", alpha=\"0.15\", expect_size=\"46540800\"] \n  17 -> 22 [size =\"46540800\"]\n  17 -> 27 [size =\"46540800\"]\n  17 -> 30 [size =\"46540800\"]\n  18 [size=\"105922560\", alpha=\"0.09\", expect_size=\"31776768\"] \n  18 -> 21 [size =\"31776768\"]\n  18 -> 22 [size =\"31776768\"]\n  18 -> 24 [size =\"31776768\"]\n  18 -> 26 [size =\"31776768\"]\n  18 -> 27 [size =\"31776768\"]\n  18 -> 28 [size =\"31776768\"]\n  18 -> 30 [size =\"31776768\"]\n  19 [size=\"74536960\", alpha=\"0.12\", expect_size=\"22361088\"] \n  19 -> 22 [size =\"22361088\"]\n  19 -> 22 [size =\"22361088\"]\n  19 -> 29 [size =\"22361088\"]\n  20 [size=\"161798827\", alpha=\"0.06\", expect_size=\"48539648\"] \n  20 -> 21 [size =\"48539648\"]\n  20 -> 22 [size =\"48539648\"]\n  20 -> 24 [size =\"48539648\"]\n  20 -> 29 [size =\"48539648\"]\n  21 [size=\"33877333\", alpha=\"0.17\", expect_size=\"10163200\"] \n  22 [size=\"157835947\", alpha=\"0.16\", expect_size=\"47350784\"] \n  23 [size=\"59006293\", alpha=\"0.18\", expect_size=\"17701888\"] \n  24 [size=\"165201920\", alpha=\"0.18\", expect_size=\"49560576\"] \n  25 [size=\"112291840\", alpha=\"0.19\", expect_size=\"33687552\"] \n  26 [size=\"167522987\", alpha=\"0.17\", expect_size=\"50256896\"] \n  27 [size=\"173721600\", alpha=\"0.19\", expect_size=\"52116480\"] \n  28 [size=\"136980480\", alpha=\"0.09\", expect_size=\"41094144\"] \n  29 [size=\"53954560\", alpha=\"0.19\", expect_size=\"16186368\"] \n  30 [size=\"149483520\", alpha=\"0.09\", expect_size=\"44845056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54947840\", alpha=\"0.08\", expect_size=\"16484352\"] \n  2 [size=\"79981227\", alpha=\"0.14\", expect_size=\"23994368\"] \n  2 -> 3 [size =\"23994368\"]\n  3 [size=\"152043520\", alpha=\"0.03\", expect_size=\"45613056\"] \n  3 -> 4 [size =\"45613056\"]\n  4 [size=\"126696107\", alpha=\"0.13\", expect_size=\"38008832\"] \n  4 -> 5 [size =\"38008832\"]\n  5 [size=\"148555093\", alpha=\"0.02\", expect_size=\"44566528\"] \n  5 -> 6 [size =\"44566528\"]\n  6 [size=\"81100800\", alpha=\"0.05\", expect_size=\"24330240\"] \n  6 -> 7 [size =\"24330240\"]\n  6 -> 8 [size =\"24330240\"]\n  7 [size=\"134222507\", alpha=\"0.12\", expect_size=\"40266752\"] \n  7 -> 10 [size =\"40266752\"]\n  8 [size=\"112254293\", alpha=\"0.13\", expect_size=\"33676288\"] \n  8 -> 9 [size =\"33676288\"]\n  8 -> 10 [size =\"33676288\"]\n  9 [size=\"53176320\", alpha=\"0.04\", expect_size=\"15952896\"] \n  10 [size=\"73673387\", alpha=\"0.04\", expect_size=\"22102016\"] \n  10 -> 11 [size =\"22102016\"]\n  11 [size=\"127358293\", alpha=\"0.07\", expect_size=\"38207488\"] \n  11 -> 12 [size =\"38207488\"]\n  12 [size=\"36444160\", alpha=\"0.10\", expect_size=\"10933248\"] \n  12 -> 13 [size =\"10933248\"]\n  12 -> 14 [size =\"10933248\"]\n  13 [size=\"148299093\", alpha=\"0.06\", expect_size=\"44489728\"] \n  13 -> 15 [size =\"44489728\"]\n  14 [size=\"18039467\", alpha=\"0.17\", expect_size=\"5411840\"] \n  14 -> 15 [size =\"5411840\"]\n  15 [size=\"116746240\", alpha=\"0.09\", expect_size=\"35023872\"] \n  15 -> 16 [size =\"35023872\"]\n  15 -> 17 [size =\"35023872\"]\n  16 [size=\"131543040\", alpha=\"0.13\", expect_size=\"39462912\"] \n  17 [size=\"173066240\", alpha=\"0.13\", expect_size=\"51919872\"] \n  17 -> 18 [size =\"51919872\"]\n  18 [size=\"107287893\", alpha=\"0.16\", expect_size=\"32186368\"] \n  18 -> 19 [size =\"32186368\"]\n  19 [size=\"55053653\", alpha=\"0.09\", expect_size=\"16516096\"] \n  19 -> 20 [size =\"16516096\"]\n  19 -> 21 [size =\"16516096\"]\n  20 [size=\"88299520\", alpha=\"0.17\", expect_size=\"26489856\"] \n  20 -> 22 [size =\"26489856\"]\n  21 [size=\"121999360\", alpha=\"0.10\", expect_size=\"36599808\"] \n  21 -> 22 [size =\"36599808\"]\n  21 -> 23 [size =\"36599808\"]\n  22 [size=\"17503573\", alpha=\"0.11\", expect_size=\"5251072\"] \n  22 -> 24 [size =\"5251072\"]\n  22 -> 25 [size =\"5251072\"]\n  23 [size=\"93972480\", alpha=\"0.09\", expect_size=\"28191744\"] \n  23 -> 24 [size =\"28191744\"]\n  24 [size=\"139502933\", alpha=\"0.01\", expect_size=\"41850880\"] \n  24 -> 26 [size =\"41850880\"]\n  25 [size=\"114752853\", alpha=\"0.09\", expect_size=\"34425856\"] \n  25 -> 26 [size =\"34425856\"]\n  26 [size=\"26501120\", alpha=\"0.06\", expect_size=\"7950336\"] \n  26 -> 27 [size =\"7950336\"]\n  26 -> 28 [size =\"7950336\"]\n  27 [size=\"126190933\", alpha=\"0.17\", expect_size=\"37857280\"] \n  28 [size=\"67741013\", alpha=\"0.01\", expect_size=\"20322304\"] \n  28 -> 29 [size =\"20322304\"]\n  29 [size=\"32798720\", alpha=\"0.09\", expect_size=\"9839616\"] \n  29 -> 30 [size =\"9839616\"]\n  30 [size=\"101225813\", alpha=\"0.04\", expect_size=\"30367744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134700373\", alpha=\"0.07\", expect_size=\"40410112\"] \n  1 -> 23 [size =\"40410112\"]\n  1 -> 24 [size =\"40410112\"]\n  1 -> 25 [size =\"40410112\"]\n  1 -> 25 [size =\"40410112\"]\n  1 -> 29 [size =\"40410112\"]\n  1 -> 30 [size =\"40410112\"]\n  2 [size=\"19650560\", alpha=\"0.05\", expect_size=\"5895168\"] \n  2 -> 23 [size =\"5895168\"]\n  2 -> 24 [size =\"5895168\"]\n  2 -> 25 [size =\"5895168\"]\n  2 -> 26 [size =\"5895168\"]\n  2 -> 27 [size =\"5895168\"]\n  2 -> 30 [size =\"5895168\"]\n  3 [size=\"88224427\", alpha=\"0.17\", expect_size=\"26467328\"] \n  3 -> 21 [size =\"26467328\"]\n  3 -> 22 [size =\"26467328\"]\n  3 -> 23 [size =\"26467328\"]\n  3 -> 25 [size =\"26467328\"]\n  3 -> 29 [size =\"26467328\"]\n  3 -> 30 [size =\"26467328\"]\n  4 [size=\"46622720\", alpha=\"0.14\", expect_size=\"13986816\"] \n  4 -> 21 [size =\"13986816\"]\n  4 -> 24 [size =\"13986816\"]\n  4 -> 25 [size =\"13986816\"]\n  4 -> 25 [size =\"13986816\"]\n  4 -> 26 [size =\"13986816\"]\n  4 -> 29 [size =\"13986816\"]\n  4 -> 30 [size =\"13986816\"]\n  5 [size=\"113244160\", alpha=\"0.18\", expect_size=\"33973248\"] \n  5 -> 21 [size =\"33973248\"]\n  5 -> 22 [size =\"33973248\"]\n  5 -> 23 [size =\"33973248\"]\n  5 -> 25 [size =\"33973248\"]\n  5 -> 26 [size =\"33973248\"]\n  5 -> 30 [size =\"33973248\"]\n  5 -> 30 [size =\"33973248\"]\n  6 [size=\"42683733\", alpha=\"0.07\", expect_size=\"12805120\"] \n  6 -> 21 [size =\"12805120\"]\n  6 -> 22 [size =\"12805120\"]\n  6 -> 23 [size =\"12805120\"]\n  6 -> 25 [size =\"12805120\"]\n  6 -> 26 [size =\"12805120\"]\n  6 -> 29 [size =\"12805120\"]\n  6 -> 30 [size =\"12805120\"]\n  7 [size=\"172823893\", alpha=\"0.01\", expect_size=\"51847168\"] \n  7 -> 22 [size =\"51847168\"]\n  7 -> 23 [size =\"51847168\"]\n  7 -> 23 [size =\"51847168\"]\n  7 -> 25 [size =\"51847168\"]\n  7 -> 29 [size =\"51847168\"]\n  8 [size=\"43615573\", alpha=\"0.12\", expect_size=\"13084672\"] \n  8 -> 23 [size =\"13084672\"]\n  8 -> 26 [size =\"13084672\"]\n  8 -> 27 [size =\"13084672\"]\n  8 -> 29 [size =\"13084672\"]\n  9 [size=\"38417067\", alpha=\"0.10\", expect_size=\"11525120\"] \n  9 -> 21 [size =\"11525120\"]\n  9 -> 23 [size =\"11525120\"]\n  9 -> 24 [size =\"11525120\"]\n  9 -> 26 [size =\"11525120\"]\n  9 -> 28 [size =\"11525120\"]\n  9 -> 29 [size =\"11525120\"]\n  10 [size=\"143718400\", alpha=\"0.19\", expect_size=\"43115520\"] \n  10 -> 22 [size =\"43115520\"]\n  10 -> 23 [size =\"43115520\"]\n  10 -> 24 [size =\"43115520\"]\n  10 -> 25 [size =\"43115520\"]\n  10 -> 28 [size =\"43115520\"]\n  10 -> 30 [size =\"43115520\"]\n  11 [size=\"109557760\", alpha=\"0.13\", expect_size=\"32867328\"] \n  11 -> 21 [size =\"32867328\"]\n  11 -> 23 [size =\"32867328\"]\n  11 -> 24 [size =\"32867328\"]\n  11 -> 27 [size =\"32867328\"]\n  11 -> 28 [size =\"32867328\"]\n  11 -> 29 [size =\"32867328\"]\n  12 [size=\"162392747\", alpha=\"0.10\", expect_size=\"48717824\"] \n  12 -> 24 [size =\"48717824\"]\n  12 -> 28 [size =\"48717824\"]\n  12 -> 30 [size =\"48717824\"]\n  13 [size=\"46277973\", alpha=\"0.09\", expect_size=\"13883392\"] \n  13 -> 24 [size =\"13883392\"]\n  13 -> 25 [size =\"13883392\"]\n  13 -> 30 [size =\"13883392\"]\n  14 [size=\"20981760\", alpha=\"0.08\", expect_size=\"6294528\"] \n  14 -> 26 [size =\"6294528\"]\n  14 -> 27 [size =\"6294528\"]\n  14 -> 29 [size =\"6294528\"]\n  14 -> 30 [size =\"6294528\"]\n  15 [size=\"129966080\", alpha=\"0.07\", expect_size=\"38989824\"] \n  15 -> 24 [size =\"38989824\"]\n  15 -> 26 [size =\"38989824\"]\n  15 -> 29 [size =\"38989824\"]\n  16 [size=\"115961173\", alpha=\"0.10\", expect_size=\"34788352\"] \n  16 -> 25 [size =\"34788352\"]\n  16 -> 26 [size =\"34788352\"]\n  16 -> 27 [size =\"34788352\"]\n  16 -> 29 [size =\"34788352\"]\n  16 -> 30 [size =\"34788352\"]\n  17 [size=\"168195413\", alpha=\"0.07\", expect_size=\"50458624\"] \n  17 -> 21 [size =\"50458624\"]\n  17 -> 24 [size =\"50458624\"]\n  17 -> 25 [size =\"50458624\"]\n  17 -> 26 [size =\"50458624\"]\n  17 -> 30 [size =\"50458624\"]\n  18 [size=\"173564587\", alpha=\"0.04\", expect_size=\"52069376\"] \n  18 -> 25 [size =\"52069376\"]\n  18 -> 30 [size =\"52069376\"]\n  19 [size=\"113506987\", alpha=\"0.09\", expect_size=\"34052096\"] \n  19 -> 21 [size =\"34052096\"]\n  19 -> 23 [size =\"34052096\"]\n  19 -> 24 [size =\"34052096\"]\n  19 -> 25 [size =\"34052096\"]\n  19 -> 30 [size =\"34052096\"]\n  20 [size=\"34809173\", alpha=\"0.18\", expect_size=\"10442752\"] \n  20 -> 21 [size =\"10442752\"]\n  20 -> 22 [size =\"10442752\"]\n  20 -> 23 [size =\"10442752\"]\n  20 -> 25 [size =\"10442752\"]\n  20 -> 26 [size =\"10442752\"]\n  20 -> 27 [size =\"10442752\"]\n  20 -> 28 [size =\"10442752\"]\n  20 -> 30 [size =\"10442752\"]\n  21 [size=\"29921280\", alpha=\"0.02\", expect_size=\"8976384\"] \n  22 [size=\"133007360\", alpha=\"0.06\", expect_size=\"39902208\"] \n  23 [size=\"51179520\", alpha=\"0.19\", expect_size=\"15353856\"] \n  24 [size=\"122446507\", alpha=\"0.15\", expect_size=\"36733952\"] \n  25 [size=\"30518613\", alpha=\"0.04\", expect_size=\"9155584\"] \n  26 [size=\"85306027\", alpha=\"0.16\", expect_size=\"25591808\"] \n  27 [size=\"162904747\", alpha=\"0.08\", expect_size=\"48871424\"] \n  28 [size=\"60293120\", alpha=\"0.03\", expect_size=\"18087936\"] \n  29 [size=\"93750613\", alpha=\"0.01\", expect_size=\"28125184\"] \n  30 [size=\"167492267\", alpha=\"0.14\", expect_size=\"50247680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78643200\", alpha=\"0.07\", expect_size=\"31457280\"] \n  1 -> 5 [size =\"31457280\"]\n  1 -> 7 [size =\"31457280\"]\n  1 -> 8 [size =\"31457280\"]\n  2 [size=\"72417280\", alpha=\"0.16\", expect_size=\"28966912\"] \n  2 -> 4 [size =\"28966912\"]\n  2 -> 5 [size =\"28966912\"]\n  2 -> 6 [size =\"28966912\"]\n  2 -> 7 [size =\"28966912\"]\n  2 -> 8 [size =\"28966912\"]\n  3 [size=\"23068160\", alpha=\"0.15\", expect_size=\"9227264\"] \n  3 -> 5 [size =\"9227264\"]\n  3 -> 7 [size =\"9227264\"]\n  3 -> 8 [size =\"9227264\"]\n  4 [size=\"93260800\", alpha=\"0.03\", expect_size=\"37304320\"] \n  4 -> 11 [size =\"37304320\"]\n  4 -> 12 [size =\"37304320\"]\n  4 -> 13 [size =\"37304320\"]\n  4 -> 14 [size =\"37304320\"]\n  5 [size=\"27381760\", alpha=\"0.18\", expect_size=\"10952704\"] \n  5 -> 10 [size =\"10952704\"]\n  5 -> 12 [size =\"10952704\"]\n  5 -> 13 [size =\"10952704\"]\n  5 -> 14 [size =\"10952704\"]\n  6 [size=\"118622720\", alpha=\"0.01\", expect_size=\"47449088\"] \n  6 -> 9 [size =\"47449088\"]\n  6 -> 10 [size =\"47449088\"]\n  6 -> 12 [size =\"47449088\"]\n  6 -> 13 [size =\"47449088\"]\n  6 -> 14 [size =\"47449088\"]\n  7 [size=\"17295360\", alpha=\"0.13\", expect_size=\"6918144\"] \n  7 -> 9 [size =\"6918144\"]\n  7 -> 10 [size =\"6918144\"]\n  7 -> 12 [size =\"6918144\"]\n  8 [size=\"120355840\", alpha=\"0.17\", expect_size=\"48142336\"] \n  8 -> 10 [size =\"48142336\"]\n  8 -> 12 [size =\"48142336\"]\n  8 -> 13 [size =\"48142336\"]\n  9 [size=\"73651200\", alpha=\"0.03\", expect_size=\"29460480\"] \n  9 -> 17 [size =\"29460480\"]\n  9 -> 18 [size =\"29460480\"]\n  10 [size=\"97003520\", alpha=\"0.04\", expect_size=\"38801408\"] \n  10 -> 17 [size =\"38801408\"]\n  10 -> 18 [size =\"38801408\"]\n  11 [size=\"19671040\", alpha=\"0.17\", expect_size=\"7868416\"] \n  11 -> 18 [size =\"7868416\"]\n  11 -> 18 [size =\"7868416\"]\n  12 [size=\"60856320\", alpha=\"0.12\", expect_size=\"24342528\"] \n  12 -> 18 [size =\"24342528\"]\n  13 [size=\"35555840\", alpha=\"0.09\", expect_size=\"14222336\"] \n  13 -> 16 [size =\"14222336\"]\n  14 [size=\"125324800\", alpha=\"0.09\", expect_size=\"50129920\"] \n  14 -> 15 [size =\"50129920\"]\n  14 -> 17 [size =\"50129920\"]\n  14 -> 18 [size =\"50129920\"]\n  15 [size=\"23864320\", alpha=\"0.08\", expect_size=\"9545728\"] \n  15 -> 19 [size =\"9545728\"]\n  15 -> 20 [size =\"9545728\"]\n  15 -> 21 [size =\"9545728\"]\n  16 [size=\"14507520\", alpha=\"0.14\", expect_size=\"5803008\"] \n  16 -> 19 [size =\"5803008\"]\n  16 -> 20 [size =\"5803008\"]\n  16 -> 21 [size =\"5803008\"]\n  17 [size=\"20871680\", alpha=\"0.07\", expect_size=\"8348672\"] \n  17 -> 19 [size =\"8348672\"]\n  17 -> 21 [size =\"8348672\"]\n  17 -> 21 [size =\"8348672\"]\n  18 [size=\"98429440\", alpha=\"0.10\", expect_size=\"39371776\"] \n  18 -> 19 [size =\"39371776\"]\n  18 -> 20 [size =\"39371776\"]\n  19 [size=\"79354880\", alpha=\"0.09\", expect_size=\"31741952\"] \n  19 -> 22 [size =\"31741952\"]\n  19 -> 23 [size =\"31741952\"]\n  19 -> 24 [size =\"31741952\"]\n  19 -> 25 [size =\"31741952\"]\n  20 [size=\"98099200\", alpha=\"0.18\", expect_size=\"39239680\"] \n  20 -> 22 [size =\"39239680\"]\n  20 -> 23 [size =\"39239680\"]\n  20 -> 24 [size =\"39239680\"]\n  21 [size=\"121482240\", alpha=\"0.18\", expect_size=\"48592896\"] \n  21 -> 23 [size =\"48592896\"]\n  21 -> 24 [size =\"48592896\"]\n  21 -> 25 [size =\"48592896\"]\n  22 [size=\"101752320\", alpha=\"0.08\", expect_size=\"40700928\"] \n  22 -> 26 [size =\"40700928\"]\n  22 -> 27 [size =\"40700928\"]\n  23 [size=\"53196800\", alpha=\"0.00\", expect_size=\"21278720\"] \n  23 -> 27 [size =\"21278720\"]\n  24 [size=\"103864320\", alpha=\"0.06\", expect_size=\"41545728\"] \n  24 -> 27 [size =\"41545728\"]\n  25 [size=\"38804480\", alpha=\"0.13\", expect_size=\"15521792\"] \n  25 -> 26 [size =\"15521792\"]\n  25 -> 27 [size =\"15521792\"]\n  26 [size=\"85616640\", alpha=\"0.19\", expect_size=\"34246656\"] \n  26 -> 28 [size =\"34246656\"]\n  26 -> 29 [size =\"34246656\"]\n  26 -> 30 [size =\"34246656\"]\n  27 [size=\"50772480\", alpha=\"0.05\", expect_size=\"20308992\"] \n  27 -> 28 [size =\"20308992\"]\n  27 -> 29 [size =\"20308992\"]\n  28 [size=\"90007040\", alpha=\"0.10\", expect_size=\"36002816\"] \n  29 [size=\"28602880\", alpha=\"0.05\", expect_size=\"11441152\"] \n  30 [size=\"84436480\", alpha=\"0.14\", expect_size=\"33774592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126067200\", alpha=\"0.01\", expect_size=\"50426880\"] \n  1 -> 21 [size =\"50426880\"]\n  2 [size=\"60183040\", alpha=\"0.19\", expect_size=\"24073216\"] \n  2 -> 24 [size =\"24073216\"]\n  2 -> 29 [size =\"24073216\"]\n  2 -> 30 [size =\"24073216\"]\n  3 [size=\"33630720\", alpha=\"0.18\", expect_size=\"13452288\"] \n  3 -> 24 [size =\"13452288\"]\n  4 [size=\"111649280\", alpha=\"0.18\", expect_size=\"44659712\"] \n  4 -> 21 [size =\"44659712\"]\n  4 -> 22 [size =\"44659712\"]\n  4 -> 23 [size =\"44659712\"]\n  5 [size=\"81290240\", alpha=\"0.13\", expect_size=\"32516096\"] \n  5 -> 21 [size =\"32516096\"]\n  5 -> 22 [size =\"32516096\"]\n  5 -> 23 [size =\"32516096\"]\n  5 -> 24 [size =\"32516096\"]\n  5 -> 29 [size =\"32516096\"]\n  6 [size=\"39083520\", alpha=\"0.10\", expect_size=\"15633408\"] \n  6 -> 21 [size =\"15633408\"]\n  6 -> 23 [size =\"15633408\"]\n  6 -> 23 [size =\"15633408\"]\n  7 [size=\"46146560\", alpha=\"0.17\", expect_size=\"18458624\"] \n  7 -> 27 [size =\"18458624\"]\n  8 [size=\"31226880\", alpha=\"0.01\", expect_size=\"12490752\"] \n  8 -> 21 [size =\"12490752\"]\n  8 -> 23 [size =\"12490752\"]\n  9 [size=\"128117760\", alpha=\"0.07\", expect_size=\"51247104\"] \n  9 -> 25 [size =\"51247104\"]\n  9 -> 28 [size =\"51247104\"]\n  9 -> 29 [size =\"51247104\"]\n  10 [size=\"79208960\", alpha=\"0.15\", expect_size=\"31683584\"] \n  10 -> 24 [size =\"31683584\"]\n  10 -> 25 [size =\"31683584\"]\n  10 -> 27 [size =\"31683584\"]\n  10 -> 28 [size =\"31683584\"]\n  10 -> 29 [size =\"31683584\"]\n  11 [size=\"71482880\", alpha=\"0.15\", expect_size=\"28593152\"] \n  11 -> 26 [size =\"28593152\"]\n  12 [size=\"79869440\", alpha=\"0.10\", expect_size=\"31947776\"] \n  12 -> 24 [size =\"31947776\"]\n  12 -> 26 [size =\"31947776\"]\n  12 -> 30 [size =\"31947776\"]\n  13 [size=\"72862720\", alpha=\"0.16\", expect_size=\"29145088\"] \n  13 -> 21 [size =\"29145088\"]\n  13 -> 22 [size =\"29145088\"]\n  14 [size=\"58163200\", alpha=\"0.08\", expect_size=\"23265280\"] \n  14 -> 24 [size =\"23265280\"]\n  14 -> 27 [size =\"23265280\"]\n  14 -> 28 [size =\"23265280\"]\n  15 [size=\"46118400\", alpha=\"0.13\", expect_size=\"18447360\"] \n  15 -> 23 [size =\"18447360\"]\n  15 -> 25 [size =\"18447360\"]\n  16 [size=\"121006080\", alpha=\"0.11\", expect_size=\"48402432\"] \n  16 -> 21 [size =\"48402432\"]\n  16 -> 27 [size =\"48402432\"]\n  17 [size=\"59243520\", alpha=\"0.03\", expect_size=\"23697408\"] \n  17 -> 29 [size =\"23697408\"]\n  18 [size=\"40591360\", alpha=\"0.19\", expect_size=\"16236544\"] \n  18 -> 24 [size =\"16236544\"]\n  18 -> 28 [size =\"16236544\"]\n  19 [size=\"44290560\", alpha=\"0.20\", expect_size=\"17716224\"] \n  19 -> 24 [size =\"17716224\"]\n  19 -> 28 [size =\"17716224\"]\n  20 [size=\"87372800\", alpha=\"0.08\", expect_size=\"34949120\"] \n  20 -> 25 [size =\"34949120\"]\n  20 -> 27 [size =\"34949120\"]\n  20 -> 28 [size =\"34949120\"]\n  20 -> 29 [size =\"34949120\"]\n  21 [size=\"59944960\", alpha=\"0.15\", expect_size=\"23977984\"] \n  22 [size=\"28559360\", alpha=\"0.10\", expect_size=\"11423744\"] \n  23 [size=\"87787520\", alpha=\"0.09\", expect_size=\"35115008\"] \n  24 [size=\"65858560\", alpha=\"0.05\", expect_size=\"26343424\"] \n  25 [size=\"110940160\", alpha=\"0.12\", expect_size=\"44376064\"] \n  26 [size=\"70164480\", alpha=\"0.03\", expect_size=\"28065792\"] \n  27 [size=\"19901440\", alpha=\"0.00\", expect_size=\"7960576\"] \n  28 [size=\"37332480\", alpha=\"0.00\", expect_size=\"14932992\"] \n  29 [size=\"29678080\", alpha=\"0.20\", expect_size=\"11871232\"] \n  30 [size=\"27130880\", alpha=\"0.11\", expect_size=\"10852352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48081920\", alpha=\"0.20\", expect_size=\"19232768\"] \n  1 -> 8 [size =\"19232768\"]\n  1 -> 10 [size =\"19232768\"]\n  2 [size=\"83463680\", alpha=\"0.01\", expect_size=\"33385472\"] \n  2 -> 7 [size =\"33385472\"]\n  2 -> 8 [size =\"33385472\"]\n  3 [size=\"41525760\", alpha=\"0.12\", expect_size=\"16610304\"] \n  3 -> 8 [size =\"16610304\"]\n  3 -> 9 [size =\"16610304\"]\n  4 [size=\"21084160\", alpha=\"0.15\", expect_size=\"8433664\"] \n  4 -> 6 [size =\"8433664\"]\n  4 -> 7 [size =\"8433664\"]\n  5 [size=\"74434560\", alpha=\"0.07\", expect_size=\"29773824\"] \n  5 -> 6 [size =\"29773824\"]\n  6 [size=\"37824000\", alpha=\"0.16\", expect_size=\"15129600\"] \n  6 -> 11 [size =\"15129600\"]\n  6 -> 12 [size =\"15129600\"]\n  6 -> 15 [size =\"15129600\"]\n  7 [size=\"102100480\", alpha=\"0.05\", expect_size=\"40840192\"] \n  7 -> 11 [size =\"40840192\"]\n  7 -> 12 [size =\"40840192\"]\n  7 -> 15 [size =\"40840192\"]\n  8 [size=\"37560320\", alpha=\"0.13\", expect_size=\"15024128\"] \n  8 -> 14 [size =\"15024128\"]\n  8 -> 15 [size =\"15024128\"]\n  9 [size=\"106457600\", alpha=\"0.11\", expect_size=\"42583040\"] \n  9 -> 12 [size =\"42583040\"]\n  9 -> 13 [size =\"42583040\"]\n  10 [size=\"22256640\", alpha=\"0.01\", expect_size=\"8902656\"] \n  10 -> 11 [size =\"8902656\"]\n  10 -> 13 [size =\"8902656\"]\n  11 [size=\"84049920\", alpha=\"0.20\", expect_size=\"33619968\"] \n  11 -> 16 [size =\"33619968\"]\n  11 -> 18 [size =\"33619968\"]\n  11 -> 19 [size =\"33619968\"]\n  12 [size=\"82721280\", alpha=\"0.17\", expect_size=\"33088512\"] \n  12 -> 18 [size =\"33088512\"]\n  13 [size=\"89658880\", alpha=\"0.15\", expect_size=\"35863552\"] \n  14 [size=\"42864640\", alpha=\"0.04\", expect_size=\"17145856\"] \n  14 -> 16 [size =\"17145856\"]\n  14 -> 17 [size =\"17145856\"]\n  15 [size=\"128803840\", alpha=\"0.02\", expect_size=\"51521536\"] \n  15 -> 16 [size =\"51521536\"]\n  16 [size=\"50946560\", alpha=\"0.07\", expect_size=\"20378624\"] \n  16 -> 23 [size =\"20378624\"]\n  17 [size=\"27015680\", alpha=\"0.14\", expect_size=\"10806272\"] \n  17 -> 23 [size =\"10806272\"]\n  17 -> 24 [size =\"10806272\"]\n  18 [size=\"53675520\", alpha=\"0.03\", expect_size=\"21470208\"] \n  18 -> 20 [size =\"21470208\"]\n  18 -> 21 [size =\"21470208\"]\n  18 -> 24 [size =\"21470208\"]\n  19 [size=\"128450560\", alpha=\"0.05\", expect_size=\"51380224\"] \n  19 -> 20 [size =\"51380224\"]\n  19 -> 21 [size =\"51380224\"]\n  19 -> 22 [size =\"51380224\"]\n  19 -> 24 [size =\"51380224\"]\n  20 [size=\"76065280\", alpha=\"0.00\", expect_size=\"30426112\"] \n  21 [size=\"81280000\", alpha=\"0.02\", expect_size=\"32512000\"] \n  21 -> 25 [size =\"32512000\"]\n  21 -> 26 [size =\"32512000\"]\n  21 -> 28 [size =\"32512000\"]\n  22 [size=\"79897600\", alpha=\"0.15\", expect_size=\"31959040\"] \n  22 -> 25 [size =\"31959040\"]\n  22 -> 28 [size =\"31959040\"]\n  23 [size=\"59532800\", alpha=\"0.13\", expect_size=\"23813120\"] \n  23 -> 25 [size =\"23813120\"]\n  23 -> 26 [size =\"23813120\"]\n  24 [size=\"32314880\", alpha=\"0.12\", expect_size=\"12925952\"] \n  24 -> 26 [size =\"12925952\"]\n  24 -> 27 [size =\"12925952\"]\n  25 [size=\"55966720\", alpha=\"0.02\", expect_size=\"22386688\"] \n  25 -> 29 [size =\"22386688\"]\n  25 -> 30 [size =\"22386688\"]\n  26 [size=\"65902080\", alpha=\"0.15\", expect_size=\"26360832\"] \n  26 -> 29 [size =\"26360832\"]\n  27 [size=\"106255360\", alpha=\"0.04\", expect_size=\"42502144\"] \n  28 [size=\"69798400\", alpha=\"0.17\", expect_size=\"27919360\"] \n  29 [size=\"86044160\", alpha=\"0.06\", expect_size=\"34417664\"] \n  30 [size=\"116894720\", alpha=\"0.17\", expect_size=\"46757888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15984640\", alpha=\"0.09\", expect_size=\"7992320\"] \n  1 -> 14 [size =\"7992320\"]\n  1 -> 16 [size =\"7992320\"]\n  1 -> 19 [size =\"7992320\"]\n  1 -> 20 [size =\"7992320\"]\n  1 -> 27 [size =\"7992320\"]\n  1 -> 28 [size =\"7992320\"]\n  2 [size=\"89325568\", alpha=\"0.11\", expect_size=\"44662784\"] \n  2 -> 14 [size =\"44662784\"]\n  2 -> 16 [size =\"44662784\"]\n  2 -> 18 [size =\"44662784\"]\n  2 -> 19 [size =\"44662784\"]\n  2 -> 20 [size =\"44662784\"]\n  2 -> 22 [size =\"44662784\"]\n  2 -> 28 [size =\"44662784\"]\n  2 -> 30 [size =\"44662784\"]\n  3 [size=\"36808704\", alpha=\"0.18\", expect_size=\"18404352\"] \n  3 -> 13 [size =\"18404352\"]\n  3 -> 15 [size =\"18404352\"]\n  3 -> 16 [size =\"18404352\"]\n  3 -> 22 [size =\"18404352\"]\n  3 -> 23 [size =\"18404352\"]\n  3 -> 26 [size =\"18404352\"]\n  3 -> 29 [size =\"18404352\"]\n  3 -> 30 [size =\"18404352\"]\n  4 [size=\"72040448\", alpha=\"0.10\", expect_size=\"36020224\"] \n  4 -> 15 [size =\"36020224\"]\n  4 -> 16 [size =\"36020224\"]\n  4 -> 20 [size =\"36020224\"]\n  4 -> 26 [size =\"36020224\"]\n  4 -> 28 [size =\"36020224\"]\n  4 -> 30 [size =\"36020224\"]\n  5 [size=\"62707712\", alpha=\"0.20\", expect_size=\"31353856\"] \n  5 -> 20 [size =\"31353856\"]\n  5 -> 22 [size =\"31353856\"]\n  5 -> 24 [size =\"31353856\"]\n  5 -> 27 [size =\"31353856\"]\n  5 -> 30 [size =\"31353856\"]\n  6 [size=\"33118208\", alpha=\"0.06\", expect_size=\"16559104\"] \n  6 -> 15 [size =\"16559104\"]\n  6 -> 20 [size =\"16559104\"]\n  6 -> 22 [size =\"16559104\"]\n  6 -> 24 [size =\"16559104\"]\n  6 -> 26 [size =\"16559104\"]\n  7 [size=\"49618944\", alpha=\"0.15\", expect_size=\"24809472\"] \n  7 -> 14 [size =\"24809472\"]\n  7 -> 16 [size =\"24809472\"]\n  7 -> 22 [size =\"24809472\"]\n  7 -> 23 [size =\"24809472\"]\n  7 -> 26 [size =\"24809472\"]\n  7 -> 30 [size =\"24809472\"]\n  8 [size=\"93941760\", alpha=\"0.10\", expect_size=\"46970880\"] \n  8 -> 16 [size =\"46970880\"]\n  8 -> 20 [size =\"46970880\"]\n  8 -> 21 [size =\"46970880\"]\n  8 -> 22 [size =\"46970880\"]\n  8 -> 23 [size =\"46970880\"]\n  8 -> 28 [size =\"46970880\"]\n  8 -> 29 [size =\"46970880\"]\n  9 [size=\"93665280\", alpha=\"0.01\", expect_size=\"46832640\"] \n  9 -> 14 [size =\"46832640\"]\n  9 -> 16 [size =\"46832640\"]\n  9 -> 19 [size =\"46832640\"]\n  9 -> 22 [size =\"46832640\"]\n  9 -> 23 [size =\"46832640\"]\n  9 -> 25 [size =\"46832640\"]\n  9 -> 26 [size =\"46832640\"]\n  9 -> 29 [size =\"46832640\"]\n  9 -> 30 [size =\"46832640\"]\n  10 [size=\"74006528\", alpha=\"0.03\", expect_size=\"37003264\"] \n  10 -> 14 [size =\"37003264\"]\n  10 -> 16 [size =\"37003264\"]\n  10 -> 19 [size =\"37003264\"]\n  10 -> 20 [size =\"37003264\"]\n  10 -> 22 [size =\"37003264\"]\n  10 -> 23 [size =\"37003264\"]\n  10 -> 26 [size =\"37003264\"]\n  10 -> 29 [size =\"37003264\"]\n  11 [size=\"51210240\", alpha=\"0.15\", expect_size=\"25605120\"] \n  11 -> 14 [size =\"25605120\"]\n  11 -> 17 [size =\"25605120\"]\n  11 -> 19 [size =\"25605120\"]\n  11 -> 23 [size =\"25605120\"]\n  11 -> 29 [size =\"25605120\"]\n  12 [size=\"92407808\", alpha=\"0.05\", expect_size=\"46203904\"] \n  12 -> 16 [size =\"46203904\"]\n  12 -> 17 [size =\"46203904\"]\n  12 -> 19 [size =\"46203904\"]\n  12 -> 22 [size =\"46203904\"]\n  12 -> 26 [size =\"46203904\"]\n  12 -> 28 [size =\"46203904\"]\n  12 -> 29 [size =\"46203904\"]\n  12 -> 30 [size =\"46203904\"]\n  13 [size=\"47816704\", alpha=\"0.14\", expect_size=\"23908352\"] \n  14 [size=\"37484544\", alpha=\"0.12\", expect_size=\"18742272\"] \n  15 [size=\"84363264\", alpha=\"0.15\", expect_size=\"42181632\"] \n  16 [size=\"83634176\", alpha=\"0.11\", expect_size=\"41817088\"] \n  17 [size=\"16910336\", alpha=\"0.04\", expect_size=\"8455168\"] \n  18 [size=\"86611968\", alpha=\"0.09\", expect_size=\"43305984\"] \n  19 [size=\"37429248\", alpha=\"0.07\", expect_size=\"18714624\"] \n  20 [size=\"40859648\", alpha=\"0.10\", expect_size=\"20429824\"] \n  21 [size=\"55185408\", alpha=\"0.13\", expect_size=\"27592704\"] \n  22 [size=\"31973376\", alpha=\"0.13\", expect_size=\"15986688\"] \n  23 [size=\"54501376\", alpha=\"0.19\", expect_size=\"27250688\"] \n  24 [size=\"27449344\", alpha=\"0.18\", expect_size=\"13724672\"] \n  25 [size=\"81782784\", alpha=\"0.08\", expect_size=\"40891392\"] \n  26 [size=\"58865664\", alpha=\"0.02\", expect_size=\"29432832\"] \n  27 [size=\"16500736\", alpha=\"0.05\", expect_size=\"8250368\"] \n  28 [size=\"37158912\", alpha=\"0.06\", expect_size=\"18579456\"] \n  29 [size=\"79441920\", alpha=\"0.04\", expect_size=\"39720960\"] \n  30 [size=\"19195904\", alpha=\"0.16\", expect_size=\"9597952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69380096\", alpha=\"0.03\", expect_size=\"34690048\"] \n  1 -> 9 [size =\"34690048\"]\n  1 -> 10 [size =\"34690048\"]\n  1 -> 11 [size =\"34690048\"]\n  2 [size=\"49866752\", alpha=\"0.13\", expect_size=\"24933376\"] \n  2 -> 7 [size =\"24933376\"]\n  2 -> 9 [size =\"24933376\"]\n  3 [size=\"68028416\", alpha=\"0.02\", expect_size=\"34014208\"] \n  3 -> 7 [size =\"34014208\"]\n  3 -> 9 [size =\"34014208\"]\n  4 [size=\"45103104\", alpha=\"0.14\", expect_size=\"22551552\"] \n  4 -> 11 [size =\"22551552\"]\n  5 [size=\"22777856\", alpha=\"0.16\", expect_size=\"11388928\"] \n  5 -> 11 [size =\"11388928\"]\n  6 [size=\"72818688\", alpha=\"0.04\", expect_size=\"36409344\"] \n  6 -> 8 [size =\"36409344\"]\n  7 [size=\"100794368\", alpha=\"0.16\", expect_size=\"50397184\"] \n  7 -> 12 [size =\"50397184\"]\n  7 -> 13 [size =\"50397184\"]\n  7 -> 14 [size =\"50397184\"]\n  7 -> 15 [size =\"50397184\"]\n  8 [size=\"33568768\", alpha=\"0.17\", expect_size=\"16784384\"] \n  8 -> 12 [size =\"16784384\"]\n  8 -> 14 [size =\"16784384\"]\n  8 -> 14 [size =\"16784384\"]\n  8 -> 15 [size =\"16784384\"]\n  9 [size=\"18147328\", alpha=\"0.01\", expect_size=\"9073664\"] \n  10 [size=\"41510912\", alpha=\"0.16\", expect_size=\"20755456\"] \n  10 -> 12 [size =\"20755456\"]\n  11 [size=\"14405632\", alpha=\"0.04\", expect_size=\"7202816\"] \n  11 -> 13 [size =\"7202816\"]\n  12 [size=\"28665856\", alpha=\"0.14\", expect_size=\"14332928\"] \n  12 -> 16 [size =\"14332928\"]\n  12 -> 17 [size =\"14332928\"]\n  12 -> 19 [size =\"14332928\"]\n  13 [size=\"92221440\", alpha=\"0.15\", expect_size=\"46110720\"] \n  13 -> 17 [size =\"46110720\"]\n  14 [size=\"102660096\", alpha=\"0.10\", expect_size=\"51330048\"] \n  14 -> 18 [size =\"51330048\"]\n  14 -> 19 [size =\"51330048\"]\n  15 [size=\"73611264\", alpha=\"0.02\", expect_size=\"36805632\"] \n  15 -> 16 [size =\"36805632\"]\n  16 [size=\"53817344\", alpha=\"0.15\", expect_size=\"26908672\"] \n  16 -> 20 [size =\"26908672\"]\n  16 -> 21 [size =\"26908672\"]\n  16 -> 24 [size =\"26908672\"]\n  17 [size=\"73156608\", alpha=\"0.01\", expect_size=\"36578304\"] \n  17 -> 20 [size =\"36578304\"]\n  18 [size=\"56563712\", alpha=\"0.08\", expect_size=\"28281856\"] \n  18 -> 23 [size =\"28281856\"]\n  19 [size=\"44337152\", alpha=\"0.06\", expect_size=\"22168576\"] \n  19 -> 20 [size =\"22168576\"]\n  19 -> 21 [size =\"22168576\"]\n  19 -> 22 [size =\"22168576\"]\n  20 [size=\"47941632\", alpha=\"0.00\", expect_size=\"23970816\"] \n  21 [size=\"30982144\", alpha=\"0.07\", expect_size=\"15491072\"] \n  21 -> 25 [size =\"15491072\"]\n  21 -> 26 [size =\"15491072\"]\n  21 -> 27 [size =\"15491072\"]\n  21 -> 28 [size =\"15491072\"]\n  21 -> 29 [size =\"15491072\"]\n  22 [size=\"51384320\", alpha=\"0.02\", expect_size=\"25692160\"] \n  22 -> 25 [size =\"25692160\"]\n  22 -> 27 [size =\"25692160\"]\n  22 -> 28 [size =\"25692160\"]\n  23 [size=\"23021568\", alpha=\"0.10\", expect_size=\"11510784\"] \n  23 -> 26 [size =\"11510784\"]\n  23 -> 27 [size =\"11510784\"]\n  23 -> 29 [size =\"11510784\"]\n  24 [size=\"93296640\", alpha=\"0.05\", expect_size=\"46648320\"] \n  24 -> 25 [size =\"46648320\"]\n  25 [size=\"48324608\", alpha=\"0.02\", expect_size=\"24162304\"] \n  26 [size=\"57325568\", alpha=\"0.13\", expect_size=\"28662784\"] \n  27 [size=\"32514048\", alpha=\"0.02\", expect_size=\"16257024\"] \n  28 [size=\"37818368\", alpha=\"0.17\", expect_size=\"18909184\"] \n  28 -> 30 [size =\"18909184\"]\n  29 [size=\"73580544\", alpha=\"0.13\", expect_size=\"36790272\"] \n  29 -> 30 [size =\"36790272\"]\n  30 [size=\"101019648\", alpha=\"0.16\", expect_size=\"50509824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77545472\", alpha=\"0.16\", expect_size=\"38772736\"] \n  1 -> 6 [size =\"38772736\"]\n  1 -> 7 [size =\"38772736\"]\n  1 -> 8 [size =\"38772736\"]\n  2 [size=\"98449408\", alpha=\"0.19\", expect_size=\"49224704\"] \n  2 -> 5 [size =\"49224704\"]\n  2 -> 7 [size =\"49224704\"]\n  3 [size=\"77346816\", alpha=\"0.10\", expect_size=\"38673408\"] \n  3 -> 6 [size =\"38673408\"]\n  3 -> 7 [size =\"38673408\"]\n  3 -> 8 [size =\"38673408\"]\n  4 [size=\"78852096\", alpha=\"0.01\", expect_size=\"39426048\"] \n  4 -> 6 [size =\"39426048\"]\n  4 -> 7 [size =\"39426048\"]\n  4 -> 8 [size =\"39426048\"]\n  5 [size=\"99893248\", alpha=\"0.08\", expect_size=\"49946624\"] \n  5 -> 9 [size =\"49946624\"]\n  5 -> 10 [size =\"49946624\"]\n  5 -> 12 [size =\"49946624\"]\n  6 [size=\"63191040\", alpha=\"0.03\", expect_size=\"31595520\"] \n  6 -> 10 [size =\"31595520\"]\n  6 -> 12 [size =\"31595520\"]\n  6 -> 12 [size =\"31595520\"]\n  7 [size=\"96040960\", alpha=\"0.04\", expect_size=\"48020480\"] \n  7 -> 9 [size =\"48020480\"]\n  7 -> 10 [size =\"48020480\"]\n  7 -> 11 [size =\"48020480\"]\n  8 [size=\"50036736\", alpha=\"0.02\", expect_size=\"25018368\"] \n  8 -> 9 [size =\"25018368\"]\n  8 -> 11 [size =\"25018368\"]\n  8 -> 11 [size =\"25018368\"]\n  8 -> 12 [size =\"25018368\"]\n  8 -> 13 [size =\"25018368\"]\n  9 [size=\"54884352\", alpha=\"0.17\", expect_size=\"27442176\"] \n  9 -> 15 [size =\"27442176\"]\n  9 -> 16 [size =\"27442176\"]\n  9 -> 17 [size =\"27442176\"]\n  10 [size=\"91254784\", alpha=\"0.02\", expect_size=\"45627392\"] \n  10 -> 15 [size =\"45627392\"]\n  10 -> 16 [size =\"45627392\"]\n  10 -> 17 [size =\"45627392\"]\n  11 [size=\"84834304\", alpha=\"0.12\", expect_size=\"42417152\"] \n  11 -> 14 [size =\"42417152\"]\n  11 -> 15 [size =\"42417152\"]\n  11 -> 16 [size =\"42417152\"]\n  11 -> 17 [size =\"42417152\"]\n  12 [size=\"67561472\", alpha=\"0.08\", expect_size=\"33780736\"] \n  12 -> 14 [size =\"33780736\"]\n  12 -> 16 [size =\"33780736\"]\n  12 -> 16 [size =\"33780736\"]\n  12 -> 17 [size =\"33780736\"]\n  13 [size=\"64907264\", alpha=\"0.18\", expect_size=\"32453632\"] \n  13 -> 14 [size =\"32453632\"]\n  13 -> 15 [size =\"32453632\"]\n  14 [size=\"20062208\", alpha=\"0.04\", expect_size=\"10031104\"] \n  14 -> 18 [size =\"10031104\"]\n  15 [size=\"26906624\", alpha=\"0.08\", expect_size=\"13453312\"] \n  15 -> 19 [size =\"13453312\"]\n  15 -> 20 [size =\"13453312\"]\n  16 [size=\"63840256\", alpha=\"0.06\", expect_size=\"31920128\"] \n  16 -> 20 [size =\"31920128\"]\n  16 -> 20 [size =\"31920128\"]\n  16 -> 21 [size =\"31920128\"]\n  17 [size=\"78487552\", alpha=\"0.10\", expect_size=\"39243776\"] \n  17 -> 20 [size =\"39243776\"]\n  18 [size=\"97769472\", alpha=\"0.09\", expect_size=\"48884736\"] \n  18 -> 22 [size =\"48884736\"]\n  18 -> 25 [size =\"48884736\"]\n  19 [size=\"11825152\", alpha=\"0.16\", expect_size=\"5912576\"] \n  19 -> 23 [size =\"5912576\"]\n  20 [size=\"92930048\", alpha=\"0.06\", expect_size=\"46465024\"] \n  20 -> 22 [size =\"46465024\"]\n  21 [size=\"100444160\", alpha=\"0.11\", expect_size=\"50222080\"] \n  21 -> 22 [size =\"50222080\"]\n  21 -> 24 [size =\"50222080\"]\n  21 -> 25 [size =\"50222080\"]\n  22 [size=\"61024256\", alpha=\"0.15\", expect_size=\"30512128\"] \n  22 -> 26 [size =\"30512128\"]\n  22 -> 29 [size =\"30512128\"]\n  23 [size=\"97290240\", alpha=\"0.12\", expect_size=\"48645120\"] \n  23 -> 27 [size =\"48645120\"]\n  23 -> 28 [size =\"48645120\"]\n  24 [size=\"88485888\", alpha=\"0.04\", expect_size=\"44242944\"] \n  24 -> 26 [size =\"44242944\"]\n  24 -> 30 [size =\"44242944\"]\n  25 [size=\"13629440\", alpha=\"0.15\", expect_size=\"6814720\"] \n  25 -> 27 [size =\"6814720\"]\n  25 -> 28 [size =\"6814720\"]\n  26 [size=\"52787200\", alpha=\"0.17\", expect_size=\"26393600\"] \n  27 [size=\"80035840\", alpha=\"0.17\", expect_size=\"40017920\"] \n  28 [size=\"34297856\", alpha=\"0.06\", expect_size=\"17148928\"] \n  29 [size=\"76910592\", alpha=\"0.04\", expect_size=\"38455296\"] \n  30 [size=\"58073088\", alpha=\"0.19\", expect_size=\"29036544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67734187\", alpha=\"0.16\", expect_size=\"20320256\"] \n  1 -> 2 [size =\"20320256\"]\n  2 [size=\"48046080\", alpha=\"0.17\", expect_size=\"14413824\"] \n  2 -> 3 [size =\"14413824\"]\n  3 [size=\"73396907\", alpha=\"0.03\", expect_size=\"22019072\"] \n  3 -> 4 [size =\"22019072\"]\n  4 [size=\"169792853\", alpha=\"0.02\", expect_size=\"50937856\"] \n  4 -> 5 [size =\"50937856\"]\n  5 [size=\"110800213\", alpha=\"0.18\", expect_size=\"33240064\"] \n  5 -> 6 [size =\"33240064\"]\n  6 [size=\"32894293\", alpha=\"0.10\", expect_size=\"9868288\"] \n  6 -> 7 [size =\"9868288\"]\n  7 [size=\"84428800\", alpha=\"0.05\", expect_size=\"25328640\"] \n  7 -> 8 [size =\"25328640\"]\n  8 [size=\"139758933\", alpha=\"0.15\", expect_size=\"41927680\"] \n  8 -> 9 [size =\"41927680\"]\n  9 [size=\"157835947\", alpha=\"0.12\", expect_size=\"47350784\"] \n  9 -> 10 [size =\"47350784\"]\n  10 [size=\"23371093\", alpha=\"0.14\", expect_size=\"7011328\"] \n  10 -> 11 [size =\"7011328\"]\n  11 [size=\"111889067\", alpha=\"0.12\", expect_size=\"33566720\"] \n  11 -> 12 [size =\"33566720\"]\n  12 [size=\"80701440\", alpha=\"0.20\", expect_size=\"24210432\"] \n  12 -> 13 [size =\"24210432\"]\n  13 [size=\"56316587\", alpha=\"0.11\", expect_size=\"16894976\"] \n  13 -> 14 [size =\"16894976\"]\n  14 [size=\"79257600\", alpha=\"0.01\", expect_size=\"23777280\"] \n  14 -> 15 [size =\"23777280\"]\n  15 [size=\"94549333\", alpha=\"0.18\", expect_size=\"28364800\"] \n  15 -> 16 [size =\"28364800\"]\n  16 [size=\"80343040\", alpha=\"0.13\", expect_size=\"24102912\"] \n  16 -> 17 [size =\"24102912\"]\n  17 [size=\"158661973\", alpha=\"0.07\", expect_size=\"47598592\"] \n  17 -> 18 [size =\"47598592\"]\n  18 [size=\"43799893\", alpha=\"0.11\", expect_size=\"13139968\"] \n  18 -> 19 [size =\"13139968\"]\n  19 [size=\"159371947\", alpha=\"0.08\", expect_size=\"47811584\"] \n  19 -> 20 [size =\"47811584\"]\n  20 [size=\"96624640\", alpha=\"0.16\", expect_size=\"28987392\"] \n  20 -> 21 [size =\"28987392\"]\n  21 [size=\"50452480\", alpha=\"0.11\", expect_size=\"15135744\"] \n  21 -> 22 [size =\"15135744\"]\n  22 [size=\"141684053\", alpha=\"0.10\", expect_size=\"42505216\"] \n  22 -> 23 [size =\"42505216\"]\n  23 [size=\"138424320\", alpha=\"0.16\", expect_size=\"41527296\"] \n  23 -> 24 [size =\"41527296\"]\n  24 [size=\"64887467\", alpha=\"0.01\", expect_size=\"19466240\"] \n  24 -> 25 [size =\"19466240\"]\n  25 [size=\"76189013\", alpha=\"0.18\", expect_size=\"22856704\"] \n  25 -> 26 [size =\"22856704\"]\n  26 [size=\"58170027\", alpha=\"0.17\", expect_size=\"17451008\"] \n  26 -> 27 [size =\"17451008\"]\n  27 [size=\"159255893\", alpha=\"0.05\", expect_size=\"47776768\"] \n  27 -> 28 [size =\"47776768\"]\n  28 [size=\"58333867\", alpha=\"0.08\", expect_size=\"17500160\"] \n  28 -> 29 [size =\"17500160\"]\n  29 [size=\"148473173\", alpha=\"0.09\", expect_size=\"44541952\"] \n  29 -> 30 [size =\"44541952\"]\n  30 [size=\"54295893\", alpha=\"0.10\", expect_size=\"16288768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61719040\", alpha=\"0.18\", expect_size=\"24687616\"] \n  1 -> 13 [size =\"24687616\"]\n  1 -> 14 [size =\"24687616\"]\n  1 -> 17 [size =\"24687616\"]\n  2 [size=\"118302720\", alpha=\"0.13\", expect_size=\"47321088\"] \n  2 -> 12 [size =\"47321088\"]\n  2 -> 13 [size =\"47321088\"]\n  2 -> 14 [size =\"47321088\"]\n  2 -> 16 [size =\"47321088\"]\n  3 [size=\"127680000\", alpha=\"0.02\", expect_size=\"51072000\"] \n  3 -> 12 [size =\"51072000\"]\n  3 -> 13 [size =\"51072000\"]\n  3 -> 16 [size =\"51072000\"]\n  3 -> 18 [size =\"51072000\"]\n  4 [size=\"62312960\", alpha=\"0.17\", expect_size=\"24925184\"] \n  4 -> 10 [size =\"24925184\"]\n  4 -> 11 [size =\"24925184\"]\n  4 -> 13 [size =\"24925184\"]\n  4 -> 14 [size =\"24925184\"]\n  4 -> 16 [size =\"24925184\"]\n  4 -> 18 [size =\"24925184\"]\n  5 [size=\"66519040\", alpha=\"0.17\", expect_size=\"26607616\"] \n  5 -> 10 [size =\"26607616\"]\n  5 -> 11 [size =\"26607616\"]\n  5 -> 13 [size =\"26607616\"]\n  5 -> 14 [size =\"26607616\"]\n  5 -> 16 [size =\"26607616\"]\n  5 -> 18 [size =\"26607616\"]\n  6 [size=\"83553280\", alpha=\"0.12\", expect_size=\"33421312\"] \n  6 -> 10 [size =\"33421312\"]\n  6 -> 11 [size =\"33421312\"]\n  6 -> 13 [size =\"33421312\"]\n  6 -> 15 [size =\"33421312\"]\n  6 -> 17 [size =\"33421312\"]\n  7 [size=\"57088000\", alpha=\"0.02\", expect_size=\"22835200\"] \n  7 -> 11 [size =\"22835200\"]\n  7 -> 11 [size =\"22835200\"]\n  7 -> 14 [size =\"22835200\"]\n  7 -> 15 [size =\"22835200\"]\n  7 -> 16 [size =\"22835200\"]\n  7 -> 17 [size =\"22835200\"]\n  8 [size=\"110748160\", alpha=\"0.20\", expect_size=\"44299264\"] \n  8 -> 11 [size =\"44299264\"]\n  8 -> 14 [size =\"44299264\"]\n  8 -> 16 [size =\"44299264\"]\n  8 -> 17 [size =\"44299264\"]\n  8 -> 18 [size =\"44299264\"]\n  9 [size=\"106787840\", alpha=\"0.01\", expect_size=\"42715136\"] \n  9 -> 12 [size =\"42715136\"]\n  9 -> 13 [size =\"42715136\"]\n  9 -> 14 [size =\"42715136\"]\n  9 -> 18 [size =\"42715136\"]\n  10 [size=\"46164480\", alpha=\"0.01\", expect_size=\"18465792\"] \n  10 -> 21 [size =\"18465792\"]\n  10 -> 22 [size =\"18465792\"]\n  10 -> 23 [size =\"18465792\"]\n  10 -> 26 [size =\"18465792\"]\n  10 -> 28 [size =\"18465792\"]\n  11 [size=\"65904640\", alpha=\"0.13\", expect_size=\"26361856\"] \n  11 -> 22 [size =\"26361856\"]\n  11 -> 22 [size =\"26361856\"]\n  11 -> 23 [size =\"26361856\"]\n  11 -> 25 [size =\"26361856\"]\n  11 -> 28 [size =\"26361856\"]\n  12 [size=\"51512320\", alpha=\"0.18\", expect_size=\"20604928\"] \n  12 -> 20 [size =\"20604928\"]\n  12 -> 22 [size =\"20604928\"]\n  12 -> 27 [size =\"20604928\"]\n  13 [size=\"129141760\", alpha=\"0.17\", expect_size=\"51656704\"] \n  13 -> 21 [size =\"51656704\"]\n  13 -> 22 [size =\"51656704\"]\n  14 [size=\"20633600\", alpha=\"0.16\", expect_size=\"8253440\"] \n  14 -> 19 [size =\"8253440\"]\n  14 -> 26 [size =\"8253440\"]\n  14 -> 28 [size =\"8253440\"]\n  15 [size=\"122923520\", alpha=\"0.04\", expect_size=\"49169408\"] \n  15 -> 19 [size =\"49169408\"]\n  15 -> 20 [size =\"49169408\"]\n  15 -> 26 [size =\"49169408\"]\n  15 -> 27 [size =\"49169408\"]\n  16 [size=\"105259520\", alpha=\"0.04\", expect_size=\"42103808\"] \n  16 -> 19 [size =\"42103808\"]\n  16 -> 20 [size =\"42103808\"]\n  16 -> 22 [size =\"42103808\"]\n  16 -> 24 [size =\"42103808\"]\n  16 -> 26 [size =\"42103808\"]\n  17 [size=\"59765760\", alpha=\"0.01\", expect_size=\"23906304\"] \n  17 -> 19 [size =\"23906304\"]\n  17 -> 20 [size =\"23906304\"]\n  17 -> 21 [size =\"23906304\"]\n  17 -> 22 [size =\"23906304\"]\n  17 -> 25 [size =\"23906304\"]\n  17 -> 26 [size =\"23906304\"]\n  18 [size=\"69324800\", alpha=\"0.02\", expect_size=\"27729920\"] \n  18 -> 19 [size =\"27729920\"]\n  18 -> 20 [size =\"27729920\"]\n  18 -> 22 [size =\"27729920\"]\n  18 -> 23 [size =\"27729920\"]\n  18 -> 28 [size =\"27729920\"]\n  19 [size=\"68774400\", alpha=\"0.06\", expect_size=\"27509760\"] \n  19 -> 30 [size =\"27509760\"]\n  20 [size=\"76344320\", alpha=\"0.12\", expect_size=\"30537728\"] \n  20 -> 29 [size =\"30537728\"]\n  20 -> 30 [size =\"30537728\"]\n  21 [size=\"81866240\", alpha=\"0.05\", expect_size=\"32746496\"] \n  22 [size=\"40880640\", alpha=\"0.17\", expect_size=\"16352256\"] \n  22 -> 30 [size =\"16352256\"]\n  23 [size=\"26695680\", alpha=\"0.07\", expect_size=\"10678272\"] \n  23 -> 30 [size =\"10678272\"]\n  24 [size=\"124881920\", alpha=\"0.06\", expect_size=\"49952768\"] \n  24 -> 30 [size =\"49952768\"]\n  25 [size=\"104186880\", alpha=\"0.15\", expect_size=\"41674752\"] \n  25 -> 30 [size =\"41674752\"]\n  26 [size=\"126090240\", alpha=\"0.15\", expect_size=\"50436096\"] \n  26 -> 29 [size =\"50436096\"]\n  26 -> 30 [size =\"50436096\"]\n  27 [size=\"30266880\", alpha=\"0.02\", expect_size=\"12106752\"] \n  27 -> 30 [size =\"12106752\"]\n  28 [size=\"36285440\", alpha=\"0.06\", expect_size=\"14514176\"] \n  28 -> 30 [size =\"14514176\"]\n  29 [size=\"50728960\", alpha=\"0.06\", expect_size=\"20291584\"] \n  30 [size=\"88522240\", alpha=\"0.12\", expect_size=\"35408896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52428800\", alpha=\"0.10\", expect_size=\"20971520\"] \n  1 -> 9 [size =\"20971520\"]\n  2 [size=\"104020480\", alpha=\"0.00\", expect_size=\"41608192\"] \n  2 -> 6 [size =\"41608192\"]\n  2 -> 8 [size =\"41608192\"]\n  2 -> 9 [size =\"41608192\"]\n  3 [size=\"127393280\", alpha=\"0.06\", expect_size=\"50957312\"] \n  4 [size=\"58158080\", alpha=\"0.18\", expect_size=\"23263232\"] \n  4 -> 6 [size =\"23263232\"]\n  4 -> 8 [size =\"23263232\"]\n  5 [size=\"29358080\", alpha=\"0.15\", expect_size=\"11743232\"] \n  5 -> 6 [size =\"11743232\"]\n  5 -> 7 [size =\"11743232\"]\n  5 -> 8 [size =\"11743232\"]\n  6 [size=\"24330240\", alpha=\"0.16\", expect_size=\"9732096\"] \n  6 -> 10 [size =\"9732096\"]\n  6 -> 11 [size =\"9732096\"]\n  7 [size=\"128581120\", alpha=\"0.09\", expect_size=\"51432448\"] \n  7 -> 10 [size =\"51432448\"]\n  7 -> 12 [size =\"51432448\"]\n  8 [size=\"49876480\", alpha=\"0.03\", expect_size=\"19950592\"] \n  8 -> 12 [size =\"19950592\"]\n  9 [size=\"95856640\", alpha=\"0.10\", expect_size=\"38342656\"] \n  9 -> 10 [size =\"38342656\"]\n  9 -> 12 [size =\"38342656\"]\n  10 [size=\"128611840\", alpha=\"0.01\", expect_size=\"51444736\"] \n  10 -> 13 [size =\"51444736\"]\n  10 -> 14 [size =\"51444736\"]\n  10 -> 15 [size =\"51444736\"]\n  10 -> 16 [size =\"51444736\"]\n  11 [size=\"67146240\", alpha=\"0.18\", expect_size=\"26858496\"] \n  12 [size=\"124577280\", alpha=\"0.05\", expect_size=\"49830912\"] \n  12 -> 15 [size =\"49830912\"]\n  13 [size=\"126558720\", alpha=\"0.01\", expect_size=\"50623488\"] \n  13 -> 19 [size =\"50623488\"]\n  14 [size=\"45335040\", alpha=\"0.16\", expect_size=\"18134016\"] \n  15 [size=\"35371520\", alpha=\"0.10\", expect_size=\"14148608\"] \n  15 -> 18 [size =\"14148608\"]\n  15 -> 19 [size =\"14148608\"]\n  15 -> 20 [size =\"14148608\"]\n  16 [size=\"126456320\", alpha=\"0.01\", expect_size=\"50582528\"] \n  16 -> 17 [size =\"50582528\"]\n  17 [size=\"100357120\", alpha=\"0.08\", expect_size=\"40142848\"] \n  17 -> 21 [size =\"40142848\"]\n  18 [size=\"37841920\", alpha=\"0.14\", expect_size=\"15136768\"] \n  18 -> 23 [size =\"15136768\"]\n  19 [size=\"57996800\", alpha=\"0.01\", expect_size=\"23198720\"] \n  19 -> 22 [size =\"23198720\"]\n  19 -> 23 [size =\"23198720\"]\n  20 [size=\"114137600\", alpha=\"0.09\", expect_size=\"45655040\"] \n  21 [size=\"122721280\", alpha=\"0.04\", expect_size=\"49088512\"] \n  21 -> 24 [size =\"49088512\"]\n  21 -> 26 [size =\"49088512\"]\n  21 -> 27 [size =\"49088512\"]\n  22 [size=\"110484480\", alpha=\"0.14\", expect_size=\"44193792\"] \n  22 -> 25 [size =\"44193792\"]\n  23 [size=\"24862720\", alpha=\"0.04\", expect_size=\"9945088\"] \n  23 -> 26 [size =\"9945088\"]\n  23 -> 27 [size =\"9945088\"]\n  23 -> 28 [size =\"9945088\"]\n  24 [size=\"31301120\", alpha=\"0.01\", expect_size=\"12520448\"] \n  24 -> 30 [size =\"12520448\"]\n  25 [size=\"123783680\", alpha=\"0.01\", expect_size=\"49513472\"] \n  25 -> 30 [size =\"49513472\"]\n  26 [size=\"64550400\", alpha=\"0.03\", expect_size=\"25820160\"] \n  26 -> 29 [size =\"25820160\"]\n  27 [size=\"67758080\", alpha=\"0.04\", expect_size=\"27103232\"] \n  28 [size=\"114974720\", alpha=\"0.12\", expect_size=\"45989888\"] \n  28 -> 29 [size =\"45989888\"]\n  29 [size=\"77268480\", alpha=\"0.14\", expect_size=\"30907392\"] \n  30 [size=\"82562560\", alpha=\"0.15\", expect_size=\"33025024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71178240\", alpha=\"0.16\", expect_size=\"35589120\"] \n  1 -> 12 [size =\"35589120\"]\n  1 -> 14 [size =\"35589120\"]\n  2 [size=\"63893504\", alpha=\"0.10\", expect_size=\"31946752\"] \n  2 -> 11 [size =\"31946752\"]\n  2 -> 14 [size =\"31946752\"]\n  2 -> 16 [size =\"31946752\"]\n  2 -> 17 [size =\"31946752\"]\n  3 [size=\"57876480\", alpha=\"0.04\", expect_size=\"28938240\"] \n  3 -> 14 [size =\"28938240\"]\n  3 -> 16 [size =\"28938240\"]\n  4 [size=\"68626432\", alpha=\"0.14\", expect_size=\"34313216\"] \n  4 -> 17 [size =\"34313216\"]\n  5 [size=\"73684992\", alpha=\"0.12\", expect_size=\"36842496\"] \n  5 -> 11 [size =\"36842496\"]\n  5 -> 13 [size =\"36842496\"]\n  5 -> 16 [size =\"36842496\"]\n  5 -> 17 [size =\"36842496\"]\n  6 [size=\"79695872\", alpha=\"0.06\", expect_size=\"39847936\"] \n  6 -> 12 [size =\"39847936\"]\n  6 -> 16 [size =\"39847936\"]\n  6 -> 17 [size =\"39847936\"]\n  7 [size=\"26615808\", alpha=\"0.10\", expect_size=\"13307904\"] \n  7 -> 10 [size =\"13307904\"]\n  7 -> 11 [size =\"13307904\"]\n  7 -> 12 [size =\"13307904\"]\n  7 -> 14 [size =\"13307904\"]\n  7 -> 18 [size =\"13307904\"]\n  8 [size=\"32126976\", alpha=\"0.15\", expect_size=\"16063488\"] \n  8 -> 11 [size =\"16063488\"]\n  8 -> 14 [size =\"16063488\"]\n  8 -> 15 [size =\"16063488\"]\n  8 -> 16 [size =\"16063488\"]\n  9 [size=\"24227840\", alpha=\"0.10\", expect_size=\"12113920\"] \n  9 -> 14 [size =\"12113920\"]\n  10 [size=\"63467520\", alpha=\"0.04\", expect_size=\"31733760\"] \n  10 -> 23 [size =\"31733760\"]\n  10 -> 25 [size =\"31733760\"]\n  10 -> 25 [size =\"31733760\"]\n  10 -> 26 [size =\"31733760\"]\n  11 [size=\"58101760\", alpha=\"0.13\", expect_size=\"29050880\"] \n  11 -> 20 [size =\"29050880\"]\n  11 -> 21 [size =\"29050880\"]\n  11 -> 25 [size =\"29050880\"]\n  11 -> 26 [size =\"29050880\"]\n  11 -> 27 [size =\"29050880\"]\n  12 [size=\"40773632\", alpha=\"0.02\", expect_size=\"20386816\"] \n  12 -> 21 [size =\"20386816\"]\n  12 -> 22 [size =\"20386816\"]\n  13 [size=\"86999040\", alpha=\"0.14\", expect_size=\"43499520\"] \n  13 -> 19 [size =\"43499520\"]\n  13 -> 24 [size =\"43499520\"]\n  14 [size=\"103696384\", alpha=\"0.03\", expect_size=\"51848192\"] \n  14 -> 19 [size =\"51848192\"]\n  14 -> 21 [size =\"51848192\"]\n  14 -> 23 [size =\"51848192\"]\n  15 [size=\"74946560\", alpha=\"0.01\", expect_size=\"37473280\"] \n  15 -> 19 [size =\"37473280\"]\n  15 -> 23 [size =\"37473280\"]\n  15 -> 23 [size =\"37473280\"]\n  15 -> 25 [size =\"37473280\"]\n  15 -> 28 [size =\"37473280\"]\n  16 [size=\"38211584\", alpha=\"0.17\", expect_size=\"19105792\"] \n  16 -> 19 [size =\"19105792\"]\n  16 -> 20 [size =\"19105792\"]\n  16 -> 26 [size =\"19105792\"]\n  16 -> 27 [size =\"19105792\"]\n  17 [size=\"68061184\", alpha=\"0.13\", expect_size=\"34030592\"] \n  17 -> 23 [size =\"34030592\"]\n  17 -> 25 [size =\"34030592\"]\n  18 [size=\"19109888\", alpha=\"0.01\", expect_size=\"9554944\"] \n  18 -> 20 [size =\"9554944\"]\n  18 -> 21 [size =\"9554944\"]\n  18 -> 25 [size =\"9554944\"]\n  18 -> 28 [size =\"9554944\"]\n  19 [size=\"90396672\", alpha=\"0.20\", expect_size=\"45198336\"] \n  20 [size=\"43364352\", alpha=\"0.02\", expect_size=\"21682176\"] \n  20 -> 30 [size =\"21682176\"]\n  21 [size=\"61216768\", alpha=\"0.18\", expect_size=\"30608384\"] \n  22 [size=\"30205952\", alpha=\"0.05\", expect_size=\"15102976\"] \n  22 -> 29 [size =\"15102976\"]\n  22 -> 30 [size =\"15102976\"]\n  23 [size=\"40824832\", alpha=\"0.02\", expect_size=\"20412416\"] \n  24 [size=\"12808192\", alpha=\"0.12\", expect_size=\"6404096\"] \n  25 [size=\"27013120\", alpha=\"0.14\", expect_size=\"13506560\"] \n  25 -> 30 [size =\"13506560\"]\n  26 [size=\"32243712\", alpha=\"0.12\", expect_size=\"16121856\"] \n  27 [size=\"16318464\", alpha=\"0.13\", expect_size=\"8159232\"] \n  28 [size=\"78667776\", alpha=\"0.18\", expect_size=\"39333888\"] \n  29 [size=\"83349504\", alpha=\"0.06\", expect_size=\"41674752\"] \n  30 [size=\"81238016\", alpha=\"0.06\", expect_size=\"40619008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63577600\", alpha=\"0.12\", expect_size=\"25431040\"] \n  1 -> 3 [size =\"25431040\"]\n  1 -> 4 [size =\"25431040\"]\n  2 [size=\"22612480\", alpha=\"0.04\", expect_size=\"9044992\"] \n  2 -> 3 [size =\"9044992\"]\n  3 [size=\"50772480\", alpha=\"0.17\", expect_size=\"20308992\"] \n  3 -> 5 [size =\"20308992\"]\n  4 [size=\"21230080\", alpha=\"0.10\", expect_size=\"8492032\"] \n  4 -> 5 [size =\"8492032\"]\n  5 [size=\"85242880\", alpha=\"0.11\", expect_size=\"34097152\"] \n  5 -> 6 [size =\"34097152\"]\n  6 [size=\"86955520\", alpha=\"0.12\", expect_size=\"34782208\"] \n  6 -> 7 [size =\"34782208\"]\n  7 [size=\"46840320\", alpha=\"0.15\", expect_size=\"18736128\"] \n  7 -> 8 [size =\"18736128\"]\n  8 [size=\"49884160\", alpha=\"0.05\", expect_size=\"19953664\"] \n  8 -> 9 [size =\"19953664\"]\n  9 [size=\"17469440\", alpha=\"0.17\", expect_size=\"6987776\"] \n  9 -> 10 [size =\"6987776\"]\n  9 -> 11 [size =\"6987776\"]\n  10 [size=\"22128640\", alpha=\"0.07\", expect_size=\"8851456\"] \n  10 -> 13 [size =\"8851456\"]\n  11 [size=\"88762880\", alpha=\"0.16\", expect_size=\"35505152\"] \n  11 -> 12 [size =\"35505152\"]\n  11 -> 13 [size =\"35505152\"]\n  12 [size=\"39892480\", alpha=\"0.05\", expect_size=\"15956992\"] \n  13 [size=\"63336960\", alpha=\"0.08\", expect_size=\"25334784\"] \n  13 -> 14 [size =\"25334784\"]\n  14 [size=\"44856320\", alpha=\"0.03\", expect_size=\"17942528\"] \n  14 -> 15 [size =\"17942528\"]\n  15 [size=\"101240320\", alpha=\"0.04\", expect_size=\"40496128\"] \n  15 -> 16 [size =\"40496128\"]\n  15 -> 17 [size =\"40496128\"]\n  16 [size=\"49779200\", alpha=\"0.13\", expect_size=\"19911680\"] \n  16 -> 18 [size =\"19911680\"]\n  17 [size=\"121149440\", alpha=\"0.14\", expect_size=\"48459776\"] \n  17 -> 18 [size =\"48459776\"]\n  18 [size=\"93721600\", alpha=\"0.12\", expect_size=\"37488640\"] \n  18 -> 19 [size =\"37488640\"]\n  18 -> 20 [size =\"37488640\"]\n  19 [size=\"123320320\", alpha=\"0.10\", expect_size=\"49328128\"] \n  19 -> 21 [size =\"49328128\"]\n  20 [size=\"107998720\", alpha=\"0.06\", expect_size=\"43199488\"] \n  20 -> 21 [size =\"43199488\"]\n  20 -> 22 [size =\"43199488\"]\n  21 [size=\"34004480\", alpha=\"0.11\", expect_size=\"13601792\"] \n  21 -> 23 [size =\"13601792\"]\n  21 -> 24 [size =\"13601792\"]\n  22 [size=\"128855040\", alpha=\"0.18\", expect_size=\"51542016\"] \n  22 -> 23 [size =\"51542016\"]\n  22 -> 24 [size =\"51542016\"]\n  23 [size=\"40657920\", alpha=\"0.10\", expect_size=\"16263168\"] \n  24 [size=\"88793600\", alpha=\"0.05\", expect_size=\"35517440\"] \n  24 -> 25 [size =\"35517440\"]\n  25 [size=\"106828800\", alpha=\"0.11\", expect_size=\"42731520\"] \n  25 -> 26 [size =\"42731520\"]\n  25 -> 27 [size =\"42731520\"]\n  26 [size=\"129559040\", alpha=\"0.10\", expect_size=\"51823616\"] \n  26 -> 28 [size =\"51823616\"]\n  26 -> 29 [size =\"51823616\"]\n  27 [size=\"89331200\", alpha=\"0.15\", expect_size=\"35732480\"] \n  27 -> 28 [size =\"35732480\"]\n  28 [size=\"51655680\", alpha=\"0.06\", expect_size=\"20662272\"] \n  29 [size=\"124866560\", alpha=\"0.17\", expect_size=\"49946624\"] \n  29 -> 30 [size =\"49946624\"]\n  30 [size=\"65423360\", alpha=\"0.11\", expect_size=\"26169344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68961280\", alpha=\"0.18\", expect_size=\"27584512\"] \n  1 -> 2 [size =\"27584512\"]\n  2 [size=\"29143040\", alpha=\"0.11\", expect_size=\"11657216\"] \n  2 -> 3 [size =\"11657216\"]\n  3 [size=\"13434880\", alpha=\"0.19\", expect_size=\"5373952\"] \n  3 -> 4 [size =\"5373952\"]\n  4 [size=\"54295040\", alpha=\"0.07\", expect_size=\"21718016\"] \n  4 -> 5 [size =\"21718016\"]\n  4 -> 6 [size =\"21718016\"]\n  5 [size=\"80256000\", alpha=\"0.04\", expect_size=\"32102400\"] \n  5 -> 8 [size =\"32102400\"]\n  6 [size=\"110494720\", alpha=\"0.17\", expect_size=\"44197888\"] \n  6 -> 7 [size =\"44197888\"]\n  7 [size=\"89692160\", alpha=\"0.12\", expect_size=\"35876864\"] \n  7 -> 9 [size =\"35876864\"]\n  8 [size=\"122304000\", alpha=\"0.00\", expect_size=\"48921600\"] \n  8 -> 9 [size =\"48921600\"]\n  9 [size=\"125516800\", alpha=\"0.19\", expect_size=\"50206720\"] \n  9 -> 10 [size =\"50206720\"]\n  10 [size=\"110894080\", alpha=\"0.01\", expect_size=\"44357632\"] \n  10 -> 11 [size =\"44357632\"]\n  10 -> 12 [size =\"44357632\"]\n  11 [size=\"54804480\", alpha=\"0.17\", expect_size=\"21921792\"] \n  11 -> 13 [size =\"21921792\"]\n  12 [size=\"41794560\", alpha=\"0.01\", expect_size=\"16717824\"] \n  12 -> 13 [size =\"16717824\"]\n  12 -> 14 [size =\"16717824\"]\n  13 [size=\"103825920\", alpha=\"0.05\", expect_size=\"41530368\"] \n  13 -> 15 [size =\"41530368\"]\n  14 [size=\"98214400\", alpha=\"0.16\", expect_size=\"39285760\"] \n  14 -> 15 [size =\"39285760\"]\n  15 [size=\"21342720\", alpha=\"0.04\", expect_size=\"8537088\"] \n  15 -> 16 [size =\"8537088\"]\n  15 -> 17 [size =\"8537088\"]\n  16 [size=\"46272000\", alpha=\"0.17\", expect_size=\"18508800\"] \n  16 -> 18 [size =\"18508800\"]\n  17 [size=\"31119360\", alpha=\"0.11\", expect_size=\"12447744\"] \n  17 -> 18 [size =\"12447744\"]\n  18 [size=\"102658560\", alpha=\"0.11\", expect_size=\"41063424\"] \n  18 -> 19 [size =\"41063424\"]\n  19 [size=\"104596480\", alpha=\"0.19\", expect_size=\"41838592\"] \n  19 -> 20 [size =\"41838592\"]\n  20 [size=\"101519360\", alpha=\"0.05\", expect_size=\"40607744\"] \n  20 -> 21 [size =\"40607744\"]\n  21 [size=\"105525760\", alpha=\"0.20\", expect_size=\"42210304\"] \n  21 -> 22 [size =\"42210304\"]\n  22 [size=\"86845440\", alpha=\"0.17\", expect_size=\"34738176\"] \n  22 -> 23 [size =\"34738176\"]\n  22 -> 24 [size =\"34738176\"]\n  23 [size=\"94179840\", alpha=\"0.15\", expect_size=\"37671936\"] \n  24 [size=\"122086400\", alpha=\"0.00\", expect_size=\"48834560\"] \n  24 -> 25 [size =\"48834560\"]\n  24 -> 26 [size =\"48834560\"]\n  25 [size=\"95546880\", alpha=\"0.16\", expect_size=\"38218752\"] \n  25 -> 27 [size =\"38218752\"]\n  25 -> 28 [size =\"38218752\"]\n  26 [size=\"117992960\", alpha=\"0.09\", expect_size=\"47197184\"] \n  26 -> 28 [size =\"47197184\"]\n  27 [size=\"100129280\", alpha=\"0.14\", expect_size=\"40051712\"] \n  27 -> 29 [size =\"40051712\"]\n  28 [size=\"46228480\", alpha=\"0.19\", expect_size=\"18491392\"] \n  28 -> 29 [size =\"18491392\"]\n  29 [size=\"111831040\", alpha=\"0.02\", expect_size=\"44732416\"] \n  29 -> 30 [size =\"44732416\"]\n  30 [size=\"107051520\", alpha=\"0.02\", expect_size=\"42820608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32245760\", alpha=\"0.11\", expect_size=\"16122880\"] \n  1 -> 2 [size =\"16122880\"]\n  2 [size=\"80371712\", alpha=\"0.16\", expect_size=\"40185856\"] \n  2 -> 3 [size =\"40185856\"]\n  3 [size=\"15724544\", alpha=\"0.13\", expect_size=\"7862272\"] \n  3 -> 4 [size =\"7862272\"]\n  4 [size=\"42467328\", alpha=\"0.04\", expect_size=\"21233664\"] \n  4 -> 5 [size =\"21233664\"]\n  5 [size=\"96546816\", alpha=\"0.13\", expect_size=\"48273408\"] \n  5 -> 6 [size =\"48273408\"]\n  6 [size=\"40880128\", alpha=\"0.08\", expect_size=\"20440064\"] \n  6 -> 7 [size =\"20440064\"]\n  7 [size=\"88631296\", alpha=\"0.02\", expect_size=\"44315648\"] \n  7 -> 8 [size =\"44315648\"]\n  8 [size=\"62984192\", alpha=\"0.01\", expect_size=\"31492096\"] \n  8 -> 9 [size =\"31492096\"]\n  9 [size=\"70305792\", alpha=\"0.03\", expect_size=\"35152896\"] \n  9 -> 10 [size =\"35152896\"]\n  10 [size=\"86595584\", alpha=\"0.08\", expect_size=\"43297792\"] \n  10 -> 11 [size =\"43297792\"]\n  11 [size=\"24352768\", alpha=\"0.03\", expect_size=\"12176384\"] \n  11 -> 12 [size =\"12176384\"]\n  12 [size=\"75085824\", alpha=\"0.07\", expect_size=\"37542912\"] \n  12 -> 13 [size =\"37542912\"]\n  13 [size=\"55326720\", alpha=\"0.10\", expect_size=\"27663360\"] \n  13 -> 14 [size =\"27663360\"]\n  14 [size=\"20736000\", alpha=\"0.13\", expect_size=\"10368000\"] \n  14 -> 15 [size =\"10368000\"]\n  15 [size=\"39641088\", alpha=\"0.18\", expect_size=\"19820544\"] \n  15 -> 16 [size =\"19820544\"]\n  16 [size=\"99696640\", alpha=\"0.12\", expect_size=\"49848320\"] \n  16 -> 17 [size =\"49848320\"]\n  17 [size=\"43710464\", alpha=\"0.12\", expect_size=\"21855232\"] \n  17 -> 18 [size =\"21855232\"]\n  18 [size=\"55443456\", alpha=\"0.06\", expect_size=\"27721728\"] \n  18 -> 19 [size =\"27721728\"]\n  19 [size=\"58071040\", alpha=\"0.16\", expect_size=\"29035520\"] \n  19 -> 20 [size =\"29035520\"]\n  20 [size=\"72394752\", alpha=\"0.06\", expect_size=\"36197376\"] \n  20 -> 21 [size =\"36197376\"]\n  21 [size=\"13422592\", alpha=\"0.01\", expect_size=\"6711296\"] \n  21 -> 22 [size =\"6711296\"]\n  22 [size=\"29356032\", alpha=\"0.10\", expect_size=\"14678016\"] \n  22 -> 23 [size =\"14678016\"]\n  23 [size=\"60657664\", alpha=\"0.01\", expect_size=\"30328832\"] \n  23 -> 24 [size =\"30328832\"]\n  24 [size=\"11915264\", alpha=\"0.18\", expect_size=\"5957632\"] \n  24 -> 25 [size =\"5957632\"]\n  25 [size=\"72423424\", alpha=\"0.14\", expect_size=\"36211712\"] \n  25 -> 26 [size =\"36211712\"]\n  26 [size=\"62359552\", alpha=\"0.16\", expect_size=\"31179776\"] \n  26 -> 27 [size =\"31179776\"]\n  27 [size=\"25616384\", alpha=\"0.14\", expect_size=\"12808192\"] \n  27 -> 28 [size =\"12808192\"]\n  28 [size=\"83458048\", alpha=\"0.04\", expect_size=\"41729024\"] \n  28 -> 29 [size =\"41729024\"]\n  29 [size=\"15046656\", alpha=\"0.06\", expect_size=\"7523328\"] \n  29 -> 30 [size =\"7523328\"]\n  30 [size=\"92291072\", alpha=\"0.05\", expect_size=\"46145536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97525760\", alpha=\"0.02\", expect_size=\"48762880\"] \n  1 -> 2 [size =\"48762880\"]\n  1 -> 3 [size =\"48762880\"]\n  2 [size=\"89108480\", alpha=\"0.09\", expect_size=\"44554240\"] \n  2 -> 5 [size =\"44554240\"]\n  3 [size=\"67336192\", alpha=\"0.05\", expect_size=\"33668096\"] \n  3 -> 4 [size =\"33668096\"]\n  4 [size=\"29126656\", alpha=\"0.02\", expect_size=\"14563328\"] \n  5 [size=\"45733888\", alpha=\"0.17\", expect_size=\"22866944\"] \n  5 -> 6 [size =\"22866944\"]\n  5 -> 7 [size =\"22866944\"]\n  6 [size=\"73744384\", alpha=\"0.07\", expect_size=\"36872192\"] \n  6 -> 8 [size =\"36872192\"]\n  7 [size=\"66353152\", alpha=\"0.06\", expect_size=\"33176576\"] \n  7 -> 9 [size =\"33176576\"]\n  8 [size=\"41838592\", alpha=\"0.17\", expect_size=\"20919296\"] \n  9 [size=\"103319552\", alpha=\"0.10\", expect_size=\"51659776\"] \n  9 -> 10 [size =\"51659776\"]\n  9 -> 11 [size =\"51659776\"]\n  10 [size=\"89513984\", alpha=\"0.09\", expect_size=\"44756992\"] \n  10 -> 12 [size =\"44756992\"]\n  11 [size=\"43608064\", alpha=\"0.18\", expect_size=\"21804032\"] \n  11 -> 13 [size =\"21804032\"]\n  12 [size=\"53471232\", alpha=\"0.18\", expect_size=\"26735616\"] \n  13 [size=\"94652416\", alpha=\"0.18\", expect_size=\"47326208\"] \n  13 -> 14 [size =\"47326208\"]\n  13 -> 15 [size =\"47326208\"]\n  14 [size=\"23154688\", alpha=\"0.03\", expect_size=\"11577344\"] \n  14 -> 17 [size =\"11577344\"]\n  15 [size=\"32671744\", alpha=\"0.14\", expect_size=\"16335872\"] \n  15 -> 16 [size =\"16335872\"]\n  16 [size=\"18253824\", alpha=\"0.15\", expect_size=\"9126912\"] \n  16 -> 18 [size =\"9126912\"]\n  16 -> 19 [size =\"9126912\"]\n  17 [size=\"53313536\", alpha=\"0.07\", expect_size=\"26656768\"] \n  18 [size=\"81430528\", alpha=\"0.16\", expect_size=\"40715264\"] \n  18 -> 20 [size =\"40715264\"]\n  19 [size=\"67174400\", alpha=\"0.17\", expect_size=\"33587200\"] \n  19 -> 21 [size =\"33587200\"]\n  20 [size=\"20658176\", alpha=\"0.15\", expect_size=\"10329088\"] \n  20 -> 22 [size =\"10329088\"]\n  20 -> 23 [size =\"10329088\"]\n  21 [size=\"60919808\", alpha=\"0.11\", expect_size=\"30459904\"] \n  22 [size=\"49577984\", alpha=\"0.04\", expect_size=\"24788992\"] \n  22 -> 24 [size =\"24788992\"]\n  22 -> 25 [size =\"24788992\"]\n  23 [size=\"40183808\", alpha=\"0.09\", expect_size=\"20091904\"] \n  24 [size=\"29917184\", alpha=\"0.18\", expect_size=\"14958592\"] \n  24 -> 27 [size =\"14958592\"]\n  25 [size=\"43921408\", alpha=\"0.14\", expect_size=\"21960704\"] \n  25 -> 26 [size =\"21960704\"]\n  26 [size=\"16480256\", alpha=\"0.04\", expect_size=\"8240128\"] \n  26 -> 29 [size =\"8240128\"]\n  27 [size=\"89174016\", alpha=\"0.06\", expect_size=\"44587008\"] \n  27 -> 28 [size =\"44587008\"]\n  28 [size=\"26277888\", alpha=\"0.14\", expect_size=\"13138944\"] \n  28 -> 30 [size =\"13138944\"]\n  29 [size=\"99772416\", alpha=\"0.02\", expect_size=\"49886208\"] \n  30 [size=\"84084736\", alpha=\"0.07\", expect_size=\"42042368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47013888\", alpha=\"0.12\", expect_size=\"23506944\"] \n  1 -> 8 [size =\"23506944\"]\n  2 [size=\"47124480\", alpha=\"0.01\", expect_size=\"23562240\"] \n  2 -> 8 [size =\"23562240\"]\n  3 [size=\"46643200\", alpha=\"0.02\", expect_size=\"23321600\"] \n  4 [size=\"12601344\", alpha=\"0.11\", expect_size=\"6300672\"] \n  4 -> 7 [size =\"6300672\"]\n  5 [size=\"44326912\", alpha=\"0.16\", expect_size=\"22163456\"] \n  6 [size=\"39055360\", alpha=\"0.11\", expect_size=\"19527680\"] \n  7 [size=\"64448512\", alpha=\"0.08\", expect_size=\"32224256\"] \n  8 [size=\"99559424\", alpha=\"0.03\", expect_size=\"49779712\"] \n  8 -> 9 [size =\"49779712\"]\n  8 -> 10 [size =\"49779712\"]\n  8 -> 11 [size =\"49779712\"]\n  9 [size=\"101308416\", alpha=\"0.03\", expect_size=\"50654208\"] \n  10 [size=\"17827840\", alpha=\"0.17\", expect_size=\"8913920\"] \n  10 -> 12 [size =\"8913920\"]\n  10 -> 13 [size =\"8913920\"]\n  11 [size=\"58030080\", alpha=\"0.01\", expect_size=\"29015040\"] \n  12 [size=\"18161664\", alpha=\"0.09\", expect_size=\"9080832\"] \n  12 -> 16 [size =\"9080832\"]\n  13 [size=\"20957184\", alpha=\"0.16\", expect_size=\"10478592\"] \n  13 -> 14 [size =\"10478592\"]\n  13 -> 15 [size =\"10478592\"]\n  14 [size=\"32432128\", alpha=\"0.09\", expect_size=\"16216064\"] \n  14 -> 19 [size =\"16216064\"]\n  14 -> 22 [size =\"16216064\"]\n  15 [size=\"82149376\", alpha=\"0.04\", expect_size=\"41074688\"] \n  15 -> 17 [size =\"41074688\"]\n  15 -> 18 [size =\"41074688\"]\n  16 [size=\"62500864\", alpha=\"0.01\", expect_size=\"31250432\"] \n  16 -> 17 [size =\"31250432\"]\n  16 -> 19 [size =\"31250432\"]\n  16 -> 20 [size =\"31250432\"]\n  16 -> 21 [size =\"31250432\"]\n  17 [size=\"21139456\", alpha=\"0.17\", expect_size=\"10569728\"] \n  17 -> 23 [size =\"10569728\"]\n  17 -> 24 [size =\"10569728\"]\n  17 -> 25 [size =\"10569728\"]\n  17 -> 26 [size =\"10569728\"]\n  17 -> 27 [size =\"10569728\"]\n  17 -> 28 [size =\"10569728\"]\n  18 [size=\"57313280\", alpha=\"0.16\", expect_size=\"28656640\"] \n  18 -> 28 [size =\"28656640\"]\n  19 [size=\"72921088\", alpha=\"0.17\", expect_size=\"36460544\"] \n  20 [size=\"88834048\", alpha=\"0.12\", expect_size=\"44417024\"] \n  20 -> 23 [size =\"44417024\"]\n  20 -> 24 [size =\"44417024\"]\n  20 -> 26 [size =\"44417024\"]\n  20 -> 27 [size =\"44417024\"]\n  20 -> 28 [size =\"44417024\"]\n  21 [size=\"76793856\", alpha=\"0.16\", expect_size=\"38396928\"] \n  21 -> 23 [size =\"38396928\"]\n  21 -> 27 [size =\"38396928\"]\n  22 [size=\"80470016\", alpha=\"0.08\", expect_size=\"40235008\"] \n  22 -> 24 [size =\"40235008\"]\n  23 [size=\"26288128\", alpha=\"0.07\", expect_size=\"13144064\"] \n  24 [size=\"101609472\", alpha=\"0.06\", expect_size=\"50804736\"] \n  24 -> 30 [size =\"50804736\"]\n  25 [size=\"50190336\", alpha=\"0.13\", expect_size=\"25095168\"] \n  26 [size=\"69695488\", alpha=\"0.06\", expect_size=\"34847744\"] \n  26 -> 30 [size =\"34847744\"]\n  27 [size=\"72257536\", alpha=\"0.10\", expect_size=\"36128768\"] \n  27 -> 29 [size =\"36128768\"]\n  27 -> 30 [size =\"36128768\"]\n  28 [size=\"58107904\", alpha=\"0.13\", expect_size=\"29053952\"] \n  29 [size=\"37791744\", alpha=\"0.15\", expect_size=\"18895872\"] \n  30 [size=\"21698560\", alpha=\"0.19\", expect_size=\"10849280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59439104\", alpha=\"0.07\", expect_size=\"29719552\"] \n  1 -> 6 [size =\"29719552\"]\n  1 -> 9 [size =\"29719552\"]\n  2 [size=\"67098624\", alpha=\"0.14\", expect_size=\"33549312\"] \n  2 -> 8 [size =\"33549312\"]\n  3 [size=\"70643712\", alpha=\"0.06\", expect_size=\"35321856\"] \n  4 [size=\"56741888\", alpha=\"0.11\", expect_size=\"28370944\"] \n  4 -> 8 [size =\"28370944\"]\n  5 [size=\"91373568\", alpha=\"0.17\", expect_size=\"45686784\"] \n  5 -> 6 [size =\"45686784\"]\n  5 -> 7 [size =\"45686784\"]\n  5 -> 8 [size =\"45686784\"]\n  6 [size=\"29886464\", alpha=\"0.16\", expect_size=\"14943232\"] \n  6 -> 10 [size =\"14943232\"]\n  7 [size=\"60530688\", alpha=\"0.04\", expect_size=\"30265344\"] \n  7 -> 11 [size =\"30265344\"]\n  8 [size=\"18073600\", alpha=\"0.14\", expect_size=\"9036800\"] \n  8 -> 10 [size =\"9036800\"]\n  8 -> 13 [size =\"9036800\"]\n  8 -> 14 [size =\"9036800\"]\n  9 [size=\"65376256\", alpha=\"0.08\", expect_size=\"32688128\"] \n  9 -> 10 [size =\"32688128\"]\n  9 -> 11 [size =\"32688128\"]\n  9 -> 12 [size =\"32688128\"]\n  9 -> 13 [size =\"32688128\"]\n  9 -> 14 [size =\"32688128\"]\n  10 [size=\"79175680\", alpha=\"0.12\", expect_size=\"39587840\"] \n  10 -> 17 [size =\"39587840\"]\n  10 -> 18 [size =\"39587840\"]\n  11 [size=\"72478720\", alpha=\"0.02\", expect_size=\"36239360\"] \n  11 -> 15 [size =\"36239360\"]\n  11 -> 16 [size =\"36239360\"]\n  11 -> 17 [size =\"36239360\"]\n  12 [size=\"104523776\", alpha=\"0.06\", expect_size=\"52261888\"] \n  12 -> 15 [size =\"52261888\"]\n  13 [size=\"75620352\", alpha=\"0.13\", expect_size=\"37810176\"] \n  14 [size=\"103583744\", alpha=\"0.04\", expect_size=\"51791872\"] \n  14 -> 15 [size =\"51791872\"]\n  14 -> 17 [size =\"51791872\"]\n  14 -> 18 [size =\"51791872\"]\n  15 [size=\"61018112\", alpha=\"0.05\", expect_size=\"30509056\"] \n  15 -> 19 [size =\"30509056\"]\n  15 -> 20 [size =\"30509056\"]\n  16 [size=\"48398336\", alpha=\"0.06\", expect_size=\"24199168\"] \n  17 [size=\"28274688\", alpha=\"0.05\", expect_size=\"14137344\"] \n  17 -> 21 [size =\"14137344\"]\n  17 -> 22 [size =\"14137344\"]\n  18 [size=\"49221632\", alpha=\"0.07\", expect_size=\"24610816\"] \n  18 -> 19 [size =\"24610816\"]\n  18 -> 21 [size =\"24610816\"]\n  18 -> 22 [size =\"24610816\"]\n  19 [size=\"18622464\", alpha=\"0.15\", expect_size=\"9311232\"] \n  19 -> 23 [size =\"9311232\"]\n  19 -> 26 [size =\"9311232\"]\n  20 [size=\"55631872\", alpha=\"0.14\", expect_size=\"27815936\"] \n  20 -> 23 [size =\"27815936\"]\n  21 [size=\"16519168\", alpha=\"0.02\", expect_size=\"8259584\"] \n  21 -> 25 [size =\"8259584\"]\n  22 [size=\"24543232\", alpha=\"0.03\", expect_size=\"12271616\"] \n  22 -> 24 [size =\"12271616\"]\n  22 -> 26 [size =\"12271616\"]\n  23 [size=\"52744192\", alpha=\"0.16\", expect_size=\"26372096\"] \n  23 -> 29 [size =\"26372096\"]\n  24 [size=\"21342208\", alpha=\"0.19\", expect_size=\"10671104\"] \n  24 -> 27 [size =\"10671104\"]\n  24 -> 30 [size =\"10671104\"]\n  25 [size=\"42176512\", alpha=\"0.20\", expect_size=\"21088256\"] \n  25 -> 27 [size =\"21088256\"]\n  25 -> 28 [size =\"21088256\"]\n  25 -> 30 [size =\"21088256\"]\n  26 [size=\"63625216\", alpha=\"0.04\", expect_size=\"31812608\"] \n  26 -> 28 [size =\"31812608\"]\n  26 -> 29 [size =\"31812608\"]\n  27 [size=\"89692160\", alpha=\"0.19\", expect_size=\"44846080\"] \n  28 [size=\"21041152\", alpha=\"0.15\", expect_size=\"10520576\"] \n  29 [size=\"54108160\", alpha=\"0.04\", expect_size=\"27054080\"] \n  30 [size=\"32835584\", alpha=\"0.06\", expect_size=\"16417792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124948480\", alpha=\"0.09\", expect_size=\"37484544\"] \n  1 -> 2 [size =\"37484544\"]\n  1 -> 3 [size =\"37484544\"]\n  2 [size=\"113974613\", alpha=\"0.15\", expect_size=\"34192384\"] \n  2 -> 4 [size =\"34192384\"]\n  2 -> 5 [size =\"34192384\"]\n  3 [size=\"173332480\", alpha=\"0.02\", expect_size=\"51999744\"] \n  3 -> 4 [size =\"51999744\"]\n  3 -> 5 [size =\"51999744\"]\n  4 [size=\"138123947\", alpha=\"0.18\", expect_size=\"41437184\"] \n  4 -> 6 [size =\"41437184\"]\n  4 -> 7 [size =\"41437184\"]\n  5 [size=\"172315307\", alpha=\"0.15\", expect_size=\"51694592\"] \n  5 -> 6 [size =\"51694592\"]\n  5 -> 7 [size =\"51694592\"]\n  6 [size=\"138608640\", alpha=\"0.07\", expect_size=\"41582592\"] \n  6 -> 8 [size =\"41582592\"]\n  6 -> 9 [size =\"41582592\"]\n  7 [size=\"162242560\", alpha=\"0.20\", expect_size=\"48672768\"] \n  7 -> 9 [size =\"48672768\"]\n  8 [size=\"84858880\", alpha=\"0.11\", expect_size=\"25457664\"] \n  8 -> 11 [size =\"25457664\"]\n  9 [size=\"162788693\", alpha=\"0.08\", expect_size=\"48836608\"] \n  9 -> 10 [size =\"48836608\"]\n  10 [size=\"39287467\", alpha=\"0.19\", expect_size=\"11786240\"] \n  10 -> 12 [size =\"11786240\"]\n  11 [size=\"107700907\", alpha=\"0.03\", expect_size=\"32310272\"] \n  12 [size=\"25094827\", alpha=\"0.19\", expect_size=\"7528448\"] \n  12 -> 13 [size =\"7528448\"]\n  13 [size=\"142544213\", alpha=\"0.17\", expect_size=\"42763264\"] \n  13 -> 14 [size =\"42763264\"]\n  13 -> 15 [size =\"42763264\"]\n  14 [size=\"160593920\", alpha=\"0.02\", expect_size=\"48178176\"] \n  14 -> 16 [size =\"48178176\"]\n  14 -> 17 [size =\"48178176\"]\n  15 [size=\"146592427\", alpha=\"0.19\", expect_size=\"43977728\"] \n  15 -> 16 [size =\"43977728\"]\n  15 -> 17 [size =\"43977728\"]\n  16 [size=\"104833707\", alpha=\"0.14\", expect_size=\"31450112\"] \n  17 [size=\"163331413\", alpha=\"0.12\", expect_size=\"48999424\"] \n  17 -> 18 [size =\"48999424\"]\n  18 [size=\"161058133\", alpha=\"0.11\", expect_size=\"48317440\"] \n  18 -> 19 [size =\"48317440\"]\n  18 -> 20 [size =\"48317440\"]\n  19 [size=\"86678187\", alpha=\"0.06\", expect_size=\"26003456\"] \n  19 -> 21 [size =\"26003456\"]\n  20 [size=\"147042987\", alpha=\"0.07\", expect_size=\"44112896\"] \n  20 -> 21 [size =\"44112896\"]\n  21 [size=\"142653440\", alpha=\"0.03\", expect_size=\"42796032\"] \n  21 -> 22 [size =\"42796032\"]\n  21 -> 23 [size =\"42796032\"]\n  22 [size=\"163249493\", alpha=\"0.10\", expect_size=\"48974848\"] \n  22 -> 24 [size =\"48974848\"]\n  22 -> 25 [size =\"48974848\"]\n  23 [size=\"152449707\", alpha=\"0.18\", expect_size=\"45734912\"] \n  23 -> 24 [size =\"45734912\"]\n  23 -> 25 [size =\"45734912\"]\n  24 [size=\"130143573\", alpha=\"0.00\", expect_size=\"39043072\"] \n  24 -> 26 [size =\"39043072\"]\n  25 [size=\"142196053\", alpha=\"0.03\", expect_size=\"42658816\"] \n  25 -> 26 [size =\"42658816\"]\n  26 [size=\"137437867\", alpha=\"0.01\", expect_size=\"41231360\"] \n  26 -> 27 [size =\"41231360\"]\n  27 [size=\"93218133\", alpha=\"0.17\", expect_size=\"27965440\"] \n  27 -> 28 [size =\"27965440\"]\n  27 -> 29 [size =\"27965440\"]\n  28 [size=\"27033600\", alpha=\"0.02\", expect_size=\"8110080\"] \n  28 -> 30 [size =\"8110080\"]\n  29 [size=\"115258027\", alpha=\"0.05\", expect_size=\"34577408\"] \n  30 [size=\"160279893\", alpha=\"0.11\", expect_size=\"48083968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163481600\", alpha=\"0.02\", expect_size=\"49044480\"] \n  1 -> 20 [size =\"49044480\"]\n  1 -> 25 [size =\"49044480\"]\n  1 -> 28 [size =\"49044480\"]\n  2 [size=\"76451840\", alpha=\"0.14\", expect_size=\"22935552\"] \n  2 -> 21 [size =\"22935552\"]\n  2 -> 22 [size =\"22935552\"]\n  3 [size=\"45847893\", alpha=\"0.07\", expect_size=\"13754368\"] \n  3 -> 20 [size =\"13754368\"]\n  3 -> 23 [size =\"13754368\"]\n  3 -> 24 [size =\"13754368\"]\n  4 [size=\"143540907\", alpha=\"0.07\", expect_size=\"43062272\"] \n  4 -> 20 [size =\"43062272\"]\n  4 -> 21 [size =\"43062272\"]\n  4 -> 23 [size =\"43062272\"]\n  5 [size=\"39154347\", alpha=\"0.12\", expect_size=\"11746304\"] \n  5 -> 21 [size =\"11746304\"]\n  5 -> 22 [size =\"11746304\"]\n  5 -> 23 [size =\"11746304\"]\n  5 -> 24 [size =\"11746304\"]\n  5 -> 25 [size =\"11746304\"]\n  5 -> 28 [size =\"11746304\"]\n  6 [size=\"147326293\", alpha=\"0.06\", expect_size=\"44197888\"] \n  6 -> 20 [size =\"44197888\"]\n  6 -> 22 [size =\"44197888\"]\n  6 -> 23 [size =\"44197888\"]\n  6 -> 24 [size =\"44197888\"]\n  6 -> 25 [size =\"44197888\"]\n  6 -> 27 [size =\"44197888\"]\n  7 [size=\"109926400\", alpha=\"0.01\", expect_size=\"32977920\"] \n  7 -> 21 [size =\"32977920\"]\n  7 -> 28 [size =\"32977920\"]\n  8 [size=\"129269760\", alpha=\"0.07\", expect_size=\"38780928\"] \n  8 -> 21 [size =\"38780928\"]\n  8 -> 26 [size =\"38780928\"]\n  9 [size=\"97812480\", alpha=\"0.17\", expect_size=\"29343744\"] \n  9 -> 25 [size =\"29343744\"]\n  10 [size=\"40772267\", alpha=\"0.17\", expect_size=\"12231680\"] \n  10 -> 20 [size =\"12231680\"]\n  10 -> 25 [size =\"12231680\"]\n  11 [size=\"108199253\", alpha=\"0.01\", expect_size=\"32459776\"] \n  11 -> 24 [size =\"32459776\"]\n  12 [size=\"120582827\", alpha=\"0.05\", expect_size=\"36174848\"] \n  12 -> 21 [size =\"36174848\"]\n  12 -> 25 [size =\"36174848\"]\n  12 -> 28 [size =\"36174848\"]\n  12 -> 29 [size =\"36174848\"]\n  13 [size=\"77185707\", alpha=\"0.08\", expect_size=\"23155712\"] \n  13 -> 21 [size =\"23155712\"]\n  13 -> 25 [size =\"23155712\"]\n  14 [size=\"134539947\", alpha=\"0.05\", expect_size=\"40361984\"] \n  14 -> 23 [size =\"40361984\"]\n  15 [size=\"30569813\", alpha=\"0.20\", expect_size=\"9170944\"] \n  15 -> 21 [size =\"9170944\"]\n  15 -> 29 [size =\"9170944\"]\n  16 [size=\"127409493\", alpha=\"0.10\", expect_size=\"38222848\"] \n  16 -> 21 [size =\"38222848\"]\n  16 -> 23 [size =\"38222848\"]\n  17 [size=\"17664000\", alpha=\"0.00\", expect_size=\"5299200\"] \n  17 -> 21 [size =\"5299200\"]\n  18 [size=\"24139093\", alpha=\"0.10\", expect_size=\"7241728\"] \n  18 -> 23 [size =\"7241728\"]\n  19 [size=\"78380373\", alpha=\"0.09\", expect_size=\"23514112\"] \n  19 -> 25 [size =\"23514112\"]\n  19 -> 26 [size =\"23514112\"]\n  19 -> 28 [size =\"23514112\"]\n  20 [size=\"53951147\", alpha=\"0.17\", expect_size=\"16185344\"] \n  21 [size=\"29692587\", alpha=\"0.03\", expect_size=\"8907776\"] \n  22 [size=\"40755200\", alpha=\"0.17\", expect_size=\"12226560\"] \n  23 [size=\"83623253\", alpha=\"0.15\", expect_size=\"25086976\"] \n  24 [size=\"148780373\", alpha=\"0.08\", expect_size=\"44634112\"] \n  25 [size=\"32928427\", alpha=\"0.05\", expect_size=\"9878528\"] \n  25 -> 30 [size =\"9878528\"]\n  26 [size=\"30641493\", alpha=\"0.18\", expect_size=\"9192448\"] \n  26 -> 30 [size =\"9192448\"]\n  27 [size=\"108704427\", alpha=\"0.02\", expect_size=\"32611328\"] \n  28 [size=\"111943680\", alpha=\"0.01\", expect_size=\"33583104\"] \n  29 [size=\"29644800\", alpha=\"0.10\", expect_size=\"8893440\"] \n  30 [size=\"98420053\", alpha=\"0.02\", expect_size=\"29526016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43411456\", alpha=\"0.15\", expect_size=\"21705728\"] \n  1 -> 2 [size =\"21705728\"]\n  2 [size=\"46106624\", alpha=\"0.07\", expect_size=\"23053312\"] \n  2 -> 3 [size =\"23053312\"]\n  3 [size=\"94613504\", alpha=\"0.13\", expect_size=\"47306752\"] \n  3 -> 4 [size =\"47306752\"]\n  4 [size=\"31154176\", alpha=\"0.16\", expect_size=\"15577088\"] \n  4 -> 5 [size =\"15577088\"]\n  5 [size=\"95283200\", alpha=\"0.05\", expect_size=\"47641600\"] \n  5 -> 6 [size =\"47641600\"]\n  6 [size=\"30320640\", alpha=\"0.16\", expect_size=\"15160320\"] \n  6 -> 7 [size =\"15160320\"]\n  7 [size=\"42745856\", alpha=\"0.02\", expect_size=\"21372928\"] \n  7 -> 8 [size =\"21372928\"]\n  8 [size=\"83511296\", alpha=\"0.11\", expect_size=\"41755648\"] \n  8 -> 9 [size =\"41755648\"]\n  9 [size=\"61372416\", alpha=\"0.08\", expect_size=\"30686208\"] \n  9 -> 10 [size =\"30686208\"]\n  10 [size=\"37093376\", alpha=\"0.01\", expect_size=\"18546688\"] \n  10 -> 11 [size =\"18546688\"]\n  11 [size=\"79206400\", alpha=\"0.16\", expect_size=\"39603200\"] \n  11 -> 12 [size =\"39603200\"]\n  12 [size=\"57313280\", alpha=\"0.02\", expect_size=\"28656640\"] \n  12 -> 13 [size =\"28656640\"]\n  13 [size=\"90718208\", alpha=\"0.00\", expect_size=\"45359104\"] \n  13 -> 14 [size =\"45359104\"]\n  14 [size=\"56565760\", alpha=\"0.05\", expect_size=\"28282880\"] \n  14 -> 15 [size =\"28282880\"]\n  15 [size=\"36640768\", alpha=\"0.12\", expect_size=\"18320384\"] \n  15 -> 16 [size =\"18320384\"]\n  16 [size=\"58302464\", alpha=\"0.10\", expect_size=\"29151232\"] \n  16 -> 17 [size =\"29151232\"]\n  17 [size=\"39448576\", alpha=\"0.02\", expect_size=\"19724288\"] \n  17 -> 18 [size =\"19724288\"]\n  18 [size=\"50499584\", alpha=\"0.07\", expect_size=\"25249792\"] \n  18 -> 19 [size =\"25249792\"]\n  19 [size=\"100110336\", alpha=\"0.15\", expect_size=\"50055168\"] \n  19 -> 20 [size =\"50055168\"]\n  20 [size=\"44883968\", alpha=\"0.00\", expect_size=\"22441984\"] \n  20 -> 21 [size =\"22441984\"]\n  21 [size=\"47665152\", alpha=\"0.13\", expect_size=\"23832576\"] \n  21 -> 22 [size =\"23832576\"]\n  22 [size=\"27920384\", alpha=\"0.13\", expect_size=\"13960192\"] \n  22 -> 23 [size =\"13960192\"]\n  23 [size=\"38598656\", alpha=\"0.11\", expect_size=\"19299328\"] \n  23 -> 24 [size =\"19299328\"]\n  24 [size=\"40839168\", alpha=\"0.13\", expect_size=\"20419584\"] \n  24 -> 25 [size =\"20419584\"]\n  25 [size=\"66674688\", alpha=\"0.14\", expect_size=\"33337344\"] \n  25 -> 26 [size =\"33337344\"]\n  26 [size=\"30406656\", alpha=\"0.18\", expect_size=\"15203328\"] \n  26 -> 27 [size =\"15203328\"]\n  27 [size=\"77633536\", alpha=\"0.09\", expect_size=\"38816768\"] \n  27 -> 28 [size =\"38816768\"]\n  28 [size=\"85229568\", alpha=\"0.16\", expect_size=\"42614784\"] \n  28 -> 29 [size =\"42614784\"]\n  29 [size=\"22691840\", alpha=\"0.14\", expect_size=\"11345920\"] \n  29 -> 30 [size =\"11345920\"]\n  30 [size=\"92647424\", alpha=\"0.17\", expect_size=\"46323712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126848000\", alpha=\"0.06\", expect_size=\"50739200\"] \n  1 -> 9 [size =\"50739200\"]\n  1 -> 10 [size =\"50739200\"]\n  2 [size=\"58672640\", alpha=\"0.00\", expect_size=\"23469056\"] \n  2 -> 11 [size =\"23469056\"]\n  2 -> 13 [size =\"23469056\"]\n  3 [size=\"34823680\", alpha=\"0.08\", expect_size=\"13929472\"] \n  3 -> 10 [size =\"13929472\"]\n  3 -> 12 [size =\"13929472\"]\n  3 -> 13 [size =\"13929472\"]\n  3 -> 14 [size =\"13929472\"]\n  4 [size=\"79339520\", alpha=\"0.10\", expect_size=\"31735808\"] \n  4 -> 9 [size =\"31735808\"]\n  4 -> 10 [size =\"31735808\"]\n  4 -> 13 [size =\"31735808\"]\n  5 [size=\"66716160\", alpha=\"0.02\", expect_size=\"26686464\"] \n  5 -> 10 [size =\"26686464\"]\n  5 -> 12 [size =\"26686464\"]\n  5 -> 13 [size =\"26686464\"]\n  6 [size=\"91586560\", alpha=\"0.16\", expect_size=\"36634624\"] \n  6 -> 10 [size =\"36634624\"]\n  6 -> 13 [size =\"36634624\"]\n  7 [size=\"112650240\", alpha=\"0.03\", expect_size=\"45060096\"] \n  7 -> 10 [size =\"45060096\"]\n  8 [size=\"58314240\", alpha=\"0.06\", expect_size=\"23325696\"] \n  8 -> 9 [size =\"23325696\"]\n  8 -> 10 [size =\"23325696\"]\n  9 [size=\"53491200\", alpha=\"0.03\", expect_size=\"21396480\"] \n  9 -> 15 [size =\"21396480\"]\n  9 -> 16 [size =\"21396480\"]\n  9 -> 17 [size =\"21396480\"]\n  9 -> 18 [size =\"21396480\"]\n  9 -> 20 [size =\"21396480\"]\n  9 -> 23 [size =\"21396480\"]\n  9 -> 25 [size =\"21396480\"]\n  10 [size=\"97364480\", alpha=\"0.16\", expect_size=\"38945792\"] \n  10 -> 15 [size =\"38945792\"]\n  10 -> 16 [size =\"38945792\"]\n  10 -> 17 [size =\"38945792\"]\n  10 -> 19 [size =\"38945792\"]\n  10 -> 24 [size =\"38945792\"]\n  10 -> 25 [size =\"38945792\"]\n  10 -> 25 [size =\"38945792\"]\n  11 [size=\"63334400\", alpha=\"0.15\", expect_size=\"25333760\"] \n  11 -> 15 [size =\"25333760\"]\n  11 -> 20 [size =\"25333760\"]\n  11 -> 23 [size =\"25333760\"]\n  11 -> 25 [size =\"25333760\"]\n  12 [size=\"101391360\", alpha=\"0.04\", expect_size=\"40556544\"] \n  12 -> 15 [size =\"40556544\"]\n  12 -> 16 [size =\"40556544\"]\n  12 -> 17 [size =\"40556544\"]\n  12 -> 18 [size =\"40556544\"]\n  12 -> 20 [size =\"40556544\"]\n  12 -> 21 [size =\"40556544\"]\n  12 -> 22 [size =\"40556544\"]\n  12 -> 23 [size =\"40556544\"]\n  13 [size=\"104174080\", alpha=\"0.14\", expect_size=\"41669632\"] \n  13 -> 16 [size =\"41669632\"]\n  13 -> 17 [size =\"41669632\"]\n  13 -> 18 [size =\"41669632\"]\n  13 -> 20 [size =\"41669632\"]\n  13 -> 23 [size =\"41669632\"]\n  14 [size=\"34859520\", alpha=\"0.01\", expect_size=\"13943808\"] \n  14 -> 15 [size =\"13943808\"]\n  14 -> 16 [size =\"13943808\"]\n  14 -> 18 [size =\"13943808\"]\n  14 -> 23 [size =\"13943808\"]\n  14 -> 23 [size =\"13943808\"]\n  14 -> 25 [size =\"13943808\"]\n  15 [size=\"91901440\", alpha=\"0.14\", expect_size=\"36760576\"] \n  15 -> 26 [size =\"36760576\"]\n  15 -> 27 [size =\"36760576\"]\n  15 -> 28 [size =\"36760576\"]\n  15 -> 29 [size =\"36760576\"]\n  16 [size=\"104596480\", alpha=\"0.06\", expect_size=\"41838592\"] \n  16 -> 26 [size =\"41838592\"]\n  16 -> 28 [size =\"41838592\"]\n  16 -> 29 [size =\"41838592\"]\n  16 -> 30 [size =\"41838592\"]\n  17 [size=\"82923520\", alpha=\"0.17\", expect_size=\"33169408\"] \n  17 -> 26 [size =\"33169408\"]\n  17 -> 29 [size =\"33169408\"]\n  18 [size=\"99863040\", alpha=\"0.11\", expect_size=\"39945216\"] \n  18 -> 26 [size =\"39945216\"]\n  19 [size=\"18544640\", alpha=\"0.04\", expect_size=\"7417856\"] \n  19 -> 26 [size =\"7417856\"]\n  19 -> 29 [size =\"7417856\"]\n  19 -> 30 [size =\"7417856\"]\n  20 [size=\"34375680\", alpha=\"0.19\", expect_size=\"13750272\"] \n  20 -> 28 [size =\"13750272\"]\n  20 -> 30 [size =\"13750272\"]\n  21 [size=\"126182400\", alpha=\"0.14\", expect_size=\"50472960\"] \n  21 -> 26 [size =\"50472960\"]\n  21 -> 27 [size =\"50472960\"]\n  21 -> 30 [size =\"50472960\"]\n  22 [size=\"96225280\", alpha=\"0.17\", expect_size=\"38490112\"] \n  22 -> 26 [size =\"38490112\"]\n  22 -> 28 [size =\"38490112\"]\n  22 -> 29 [size =\"38490112\"]\n  23 [size=\"119692800\", alpha=\"0.03\", expect_size=\"47877120\"] \n  23 -> 26 [size =\"47877120\"]\n  23 -> 29 [size =\"47877120\"]\n  24 [size=\"86579200\", alpha=\"0.00\", expect_size=\"34631680\"] \n  24 -> 26 [size =\"34631680\"]\n  24 -> 29 [size =\"34631680\"]\n  24 -> 30 [size =\"34631680\"]\n  25 [size=\"90621440\", alpha=\"0.07\", expect_size=\"36248576\"] \n  25 -> 26 [size =\"36248576\"]\n  25 -> 29 [size =\"36248576\"]\n  26 [size=\"57390080\", alpha=\"0.07\", expect_size=\"22956032\"] \n  27 [size=\"95508480\", alpha=\"0.03\", expect_size=\"38203392\"] \n  28 [size=\"79472640\", alpha=\"0.08\", expect_size=\"31789056\"] \n  29 [size=\"28247040\", alpha=\"0.19\", expect_size=\"11298816\"] \n  30 [size=\"50219520\", alpha=\"0.05\", expect_size=\"20087808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112967680\", alpha=\"0.08\", expect_size=\"45187072\"] \n  1 -> 11 [size =\"45187072\"]\n  1 -> 13 [size =\"45187072\"]\n  1 -> 14 [size =\"45187072\"]\n  1 -> 17 [size =\"45187072\"]\n  2 [size=\"76602880\", alpha=\"0.11\", expect_size=\"30641152\"] \n  2 -> 11 [size =\"30641152\"]\n  2 -> 13 [size =\"30641152\"]\n  2 -> 14 [size =\"30641152\"]\n  2 -> 17 [size =\"30641152\"]\n  2 -> 18 [size =\"30641152\"]\n  2 -> 19 [size =\"30641152\"]\n  2 -> 20 [size =\"30641152\"]\n  3 [size=\"34949120\", alpha=\"0.07\", expect_size=\"13979648\"] \n  3 -> 11 [size =\"13979648\"]\n  3 -> 12 [size =\"13979648\"]\n  3 -> 13 [size =\"13979648\"]\n  3 -> 16 [size =\"13979648\"]\n  3 -> 17 [size =\"13979648\"]\n  3 -> 18 [size =\"13979648\"]\n  3 -> 19 [size =\"13979648\"]\n  3 -> 20 [size =\"13979648\"]\n  4 [size=\"37360640\", alpha=\"0.06\", expect_size=\"14944256\"] \n  4 -> 11 [size =\"14944256\"]\n  4 -> 14 [size =\"14944256\"]\n  4 -> 15 [size =\"14944256\"]\n  4 -> 17 [size =\"14944256\"]\n  4 -> 19 [size =\"14944256\"]\n  5 [size=\"59276800\", alpha=\"0.04\", expect_size=\"23710720\"] \n  5 -> 11 [size =\"23710720\"]\n  5 -> 12 [size =\"23710720\"]\n  5 -> 15 [size =\"23710720\"]\n  5 -> 17 [size =\"23710720\"]\n  5 -> 18 [size =\"23710720\"]\n  5 -> 19 [size =\"23710720\"]\n  5 -> 20 [size =\"23710720\"]\n  6 [size=\"69767680\", alpha=\"0.15\", expect_size=\"27907072\"] \n  6 -> 11 [size =\"27907072\"]\n  6 -> 18 [size =\"27907072\"]\n  6 -> 19 [size =\"27907072\"]\n  6 -> 20 [size =\"27907072\"]\n  7 [size=\"120248320\", alpha=\"0.05\", expect_size=\"48099328\"] \n  7 -> 11 [size =\"48099328\"]\n  7 -> 14 [size =\"48099328\"]\n  7 -> 15 [size =\"48099328\"]\n  7 -> 19 [size =\"48099328\"]\n  7 -> 20 [size =\"48099328\"]\n  8 [size=\"81884160\", alpha=\"0.12\", expect_size=\"32753664\"] \n  8 -> 12 [size =\"32753664\"]\n  8 -> 14 [size =\"32753664\"]\n  8 -> 17 [size =\"32753664\"]\n  8 -> 19 [size =\"32753664\"]\n  8 -> 20 [size =\"32753664\"]\n  9 [size=\"34104320\", alpha=\"0.15\", expect_size=\"13641728\"] \n  9 -> 11 [size =\"13641728\"]\n  9 -> 14 [size =\"13641728\"]\n  9 -> 19 [size =\"13641728\"]\n  9 -> 19 [size =\"13641728\"]\n  9 -> 20 [size =\"13641728\"]\n  10 [size=\"111959040\", alpha=\"0.14\", expect_size=\"44783616\"] \n  10 -> 12 [size =\"44783616\"]\n  10 -> 13 [size =\"44783616\"]\n  10 -> 17 [size =\"44783616\"]\n  10 -> 20 [size =\"44783616\"]\n  11 [size=\"81748480\", alpha=\"0.11\", expect_size=\"32699392\"] \n  11 -> 21 [size =\"32699392\"]\n  11 -> 23 [size =\"32699392\"]\n  11 -> 24 [size =\"32699392\"]\n  11 -> 27 [size =\"32699392\"]\n  11 -> 28 [size =\"32699392\"]\n  11 -> 29 [size =\"32699392\"]\n  12 [size=\"129290240\", alpha=\"0.00\", expect_size=\"51716096\"] \n  12 -> 21 [size =\"51716096\"]\n  12 -> 23 [size =\"51716096\"]\n  12 -> 27 [size =\"51716096\"]\n  12 -> 29 [size =\"51716096\"]\n  12 -> 30 [size =\"51716096\"]\n  13 [size=\"76966400\", alpha=\"0.14\", expect_size=\"30786560\"] \n  13 -> 21 [size =\"30786560\"]\n  13 -> 25 [size =\"30786560\"]\n  13 -> 26 [size =\"30786560\"]\n  13 -> 28 [size =\"30786560\"]\n  13 -> 29 [size =\"30786560\"]\n  13 -> 30 [size =\"30786560\"]\n  14 [size=\"116541440\", alpha=\"0.07\", expect_size=\"46616576\"] \n  14 -> 21 [size =\"46616576\"]\n  14 -> 24 [size =\"46616576\"]\n  14 -> 25 [size =\"46616576\"]\n  14 -> 26 [size =\"46616576\"]\n  14 -> 27 [size =\"46616576\"]\n  14 -> 28 [size =\"46616576\"]\n  14 -> 29 [size =\"46616576\"]\n  14 -> 30 [size =\"46616576\"]\n  15 [size=\"32565760\", alpha=\"0.03\", expect_size=\"13026304\"] \n  15 -> 21 [size =\"13026304\"]\n  15 -> 22 [size =\"13026304\"]\n  15 -> 24 [size =\"13026304\"]\n  15 -> 25 [size =\"13026304\"]\n  15 -> 27 [size =\"13026304\"]\n  15 -> 28 [size =\"13026304\"]\n  15 -> 29 [size =\"13026304\"]\n  15 -> 30 [size =\"13026304\"]\n  16 [size=\"56263680\", alpha=\"0.13\", expect_size=\"22505472\"] \n  16 -> 24 [size =\"22505472\"]\n  16 -> 26 [size =\"22505472\"]\n  16 -> 27 [size =\"22505472\"]\n  16 -> 28 [size =\"22505472\"]\n  16 -> 29 [size =\"22505472\"]\n  16 -> 30 [size =\"22505472\"]\n  17 [size=\"25121280\", alpha=\"0.18\", expect_size=\"10048512\"] \n  17 -> 24 [size =\"10048512\"]\n  17 -> 25 [size =\"10048512\"]\n  17 -> 26 [size =\"10048512\"]\n  17 -> 27 [size =\"10048512\"]\n  17 -> 28 [size =\"10048512\"]\n  17 -> 30 [size =\"10048512\"]\n  18 [size=\"56675840\", alpha=\"0.14\", expect_size=\"22670336\"] \n  18 -> 21 [size =\"22670336\"]\n  18 -> 24 [size =\"22670336\"]\n  18 -> 25 [size =\"22670336\"]\n  18 -> 26 [size =\"22670336\"]\n  18 -> 27 [size =\"22670336\"]\n  18 -> 30 [size =\"22670336\"]\n  19 [size=\"127800320\", alpha=\"0.14\", expect_size=\"51120128\"] \n  19 -> 24 [size =\"51120128\"]\n  19 -> 24 [size =\"51120128\"]\n  19 -> 25 [size =\"51120128\"]\n  19 -> 27 [size =\"51120128\"]\n  19 -> 29 [size =\"51120128\"]\n  19 -> 30 [size =\"51120128\"]\n  20 [size=\"95587840\", alpha=\"0.06\", expect_size=\"38235136\"] \n  20 -> 23 [size =\"38235136\"]\n  20 -> 24 [size =\"38235136\"]\n  20 -> 27 [size =\"38235136\"]\n  20 -> 28 [size =\"38235136\"]\n  20 -> 29 [size =\"38235136\"]\n  20 -> 30 [size =\"38235136\"]\n  21 [size=\"60910080\", alpha=\"0.15\", expect_size=\"24364032\"] \n  22 [size=\"123916800\", alpha=\"0.15\", expect_size=\"49566720\"] \n  23 [size=\"124556800\", alpha=\"0.18\", expect_size=\"49822720\"] \n  24 [size=\"89461760\", alpha=\"0.05\", expect_size=\"35784704\"] \n  25 [size=\"14008320\", alpha=\"0.00\", expect_size=\"5603328\"] \n  26 [size=\"33994240\", alpha=\"0.05\", expect_size=\"13597696\"] \n  27 [size=\"110430720\", alpha=\"0.08\", expect_size=\"44172288\"] \n  28 [size=\"96837120\", alpha=\"0.03\", expect_size=\"38734848\"] \n  29 [size=\"62771200\", alpha=\"0.01\", expect_size=\"25108480\"] \n  30 [size=\"29719040\", alpha=\"0.16\", expect_size=\"11887616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53877760\", alpha=\"0.14\", expect_size=\"21551104\"] \n  1 -> 24 [size =\"21551104\"]\n  1 -> 25 [size =\"21551104\"]\n  1 -> 30 [size =\"21551104\"]\n  2 [size=\"53242880\", alpha=\"0.11\", expect_size=\"21297152\"] \n  2 -> 24 [size =\"21297152\"]\n  2 -> 25 [size =\"21297152\"]\n  2 -> 30 [size =\"21297152\"]\n  3 [size=\"91194880\", alpha=\"0.04\", expect_size=\"36477952\"] \n  3 -> 30 [size =\"36477952\"]\n  4 [size=\"90091520\", alpha=\"0.15\", expect_size=\"36036608\"] \n  4 -> 23 [size =\"36036608\"]\n  5 [size=\"103137280\", alpha=\"0.03\", expect_size=\"41254912\"] \n  5 -> 23 [size =\"41254912\"]\n  5 -> 24 [size =\"41254912\"]\n  5 -> 25 [size =\"41254912\"]\n  5 -> 30 [size =\"41254912\"]\n  6 [size=\"39001600\", alpha=\"0.16\", expect_size=\"15600640\"] \n  6 -> 23 [size =\"15600640\"]\n  6 -> 24 [size =\"15600640\"]\n  6 -> 28 [size =\"15600640\"]\n  6 -> 30 [size =\"15600640\"]\n  7 [size=\"56606720\", alpha=\"0.13\", expect_size=\"22642688\"] \n  7 -> 23 [size =\"22642688\"]\n  7 -> 25 [size =\"22642688\"]\n  8 [size=\"130513920\", alpha=\"0.15\", expect_size=\"52205568\"] \n  8 -> 25 [size =\"52205568\"]\n  8 -> 25 [size =\"52205568\"]\n  8 -> 30 [size =\"52205568\"]\n  9 [size=\"72691200\", alpha=\"0.14\", expect_size=\"29076480\"] \n  9 -> 23 [size =\"29076480\"]\n  9 -> 25 [size =\"29076480\"]\n  9 -> 28 [size =\"29076480\"]\n  9 -> 29 [size =\"29076480\"]\n  9 -> 30 [size =\"29076480\"]\n  10 [size=\"52490240\", alpha=\"0.10\", expect_size=\"20996096\"] \n  10 -> 23 [size =\"20996096\"]\n  10 -> 25 [size =\"20996096\"]\n  10 -> 26 [size =\"20996096\"]\n  11 [size=\"88025600\", alpha=\"0.19\", expect_size=\"35210240\"] \n  11 -> 25 [size =\"35210240\"]\n  11 -> 26 [size =\"35210240\"]\n  11 -> 27 [size =\"35210240\"]\n  12 [size=\"51630080\", alpha=\"0.04\", expect_size=\"20652032\"] \n  12 -> 24 [size =\"20652032\"]\n  12 -> 27 [size =\"20652032\"]\n  13 [size=\"117217280\", alpha=\"0.11\", expect_size=\"46886912\"] \n  13 -> 25 [size =\"46886912\"]\n  13 -> 27 [size =\"46886912\"]\n  14 [size=\"24002560\", alpha=\"0.12\", expect_size=\"9601024\"] \n  14 -> 23 [size =\"9601024\"]\n  14 -> 25 [size =\"9601024\"]\n  15 [size=\"112977920\", alpha=\"0.08\", expect_size=\"45191168\"] \n  15 -> 30 [size =\"45191168\"]\n  16 [size=\"14369280\", alpha=\"0.05\", expect_size=\"5747712\"] \n  16 -> 25 [size =\"5747712\"]\n  17 [size=\"107898880\", alpha=\"0.15\", expect_size=\"43159552\"] \n  17 -> 28 [size =\"43159552\"]\n  17 -> 30 [size =\"43159552\"]\n  18 [size=\"64458240\", alpha=\"0.06\", expect_size=\"25783296\"] \n  19 [size=\"37660160\", alpha=\"0.07\", expect_size=\"15064064\"] \n  19 -> 23 [size =\"15064064\"]\n  19 -> 25 [size =\"15064064\"]\n  20 [size=\"117834240\", alpha=\"0.08\", expect_size=\"47133696\"] \n  20 -> 23 [size =\"47133696\"]\n  21 [size=\"56340480\", alpha=\"0.16\", expect_size=\"22536192\"] \n  21 -> 23 [size =\"22536192\"]\n  21 -> 25 [size =\"22536192\"]\n  21 -> 30 [size =\"22536192\"]\n  22 [size=\"51970560\", alpha=\"0.11\", expect_size=\"20788224\"] \n  22 -> 28 [size =\"20788224\"]\n  23 [size=\"77957120\", alpha=\"0.19\", expect_size=\"31182848\"] \n  24 [size=\"27381760\", alpha=\"0.20\", expect_size=\"10952704\"] \n  25 [size=\"95234560\", alpha=\"0.16\", expect_size=\"38093824\"] \n  26 [size=\"22174720\", alpha=\"0.17\", expect_size=\"8869888\"] \n  27 [size=\"50626560\", alpha=\"0.05\", expect_size=\"20250624\"] \n  28 [size=\"21168640\", alpha=\"0.13\", expect_size=\"8467456\"] \n  29 [size=\"54566400\", alpha=\"0.11\", expect_size=\"21826560\"] \n  30 [size=\"94735360\", alpha=\"0.16\", expect_size=\"37894144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16443392\", alpha=\"0.20\", expect_size=\"8221696\"] \n  1 -> 11 [size =\"8221696\"]\n  1 -> 16 [size =\"8221696\"]\n  1 -> 18 [size =\"8221696\"]\n  2 [size=\"24676352\", alpha=\"0.00\", expect_size=\"12338176\"] \n  2 -> 13 [size =\"12338176\"]\n  2 -> 15 [size =\"12338176\"]\n  2 -> 18 [size =\"12338176\"]\n  3 [size=\"32561152\", alpha=\"0.16\", expect_size=\"16280576\"] \n  3 -> 13 [size =\"16280576\"]\n  3 -> 15 [size =\"16280576\"]\n  3 -> 17 [size =\"16280576\"]\n  3 -> 18 [size =\"16280576\"]\n  3 -> 19 [size =\"16280576\"]\n  3 -> 20 [size =\"16280576\"]\n  4 [size=\"44838912\", alpha=\"0.05\", expect_size=\"22419456\"] \n  4 -> 14 [size =\"22419456\"]\n  4 -> 20 [size =\"22419456\"]\n  5 [size=\"13760512\", alpha=\"0.15\", expect_size=\"6880256\"] \n  5 -> 11 [size =\"6880256\"]\n  5 -> 20 [size =\"6880256\"]\n  6 [size=\"69502976\", alpha=\"0.13\", expect_size=\"34751488\"] \n  6 -> 11 [size =\"34751488\"]\n  6 -> 13 [size =\"34751488\"]\n  6 -> 14 [size =\"34751488\"]\n  6 -> 15 [size =\"34751488\"]\n  6 -> 16 [size =\"34751488\"]\n  6 -> 17 [size =\"34751488\"]\n  7 [size=\"15003648\", alpha=\"0.00\", expect_size=\"7501824\"] \n  7 -> 11 [size =\"7501824\"]\n  7 -> 13 [size =\"7501824\"]\n  7 -> 18 [size =\"7501824\"]\n  8 [size=\"80683008\", alpha=\"0.19\", expect_size=\"40341504\"] \n  8 -> 11 [size =\"40341504\"]\n  8 -> 12 [size =\"40341504\"]\n  8 -> 13 [size =\"40341504\"]\n  8 -> 14 [size =\"40341504\"]\n  8 -> 17 [size =\"40341504\"]\n  8 -> 18 [size =\"40341504\"]\n  8 -> 19 [size =\"40341504\"]\n  9 [size=\"93470720\", alpha=\"0.06\", expect_size=\"46735360\"] \n  9 -> 11 [size =\"46735360\"]\n  9 -> 12 [size =\"46735360\"]\n  9 -> 13 [size =\"46735360\"]\n  9 -> 14 [size =\"46735360\"]\n  9 -> 18 [size =\"46735360\"]\n  9 -> 18 [size =\"46735360\"]\n  9 -> 19 [size =\"46735360\"]\n  9 -> 20 [size =\"46735360\"]\n  10 [size=\"48015360\", alpha=\"0.15\", expect_size=\"24007680\"] \n  10 -> 11 [size =\"24007680\"]\n  10 -> 13 [size =\"24007680\"]\n  10 -> 15 [size =\"24007680\"]\n  11 [size=\"60039168\", alpha=\"0.01\", expect_size=\"30019584\"] \n  11 -> 21 [size =\"30019584\"]\n  11 -> 22 [size =\"30019584\"]\n  11 -> 23 [size =\"30019584\"]\n  11 -> 24 [size =\"30019584\"]\n  11 -> 27 [size =\"30019584\"]\n  12 [size=\"58417152\", alpha=\"0.16\", expect_size=\"29208576\"] \n  12 -> 23 [size =\"29208576\"]\n  12 -> 24 [size =\"29208576\"]\n  12 -> 25 [size =\"29208576\"]\n  12 -> 29 [size =\"29208576\"]\n  13 [size=\"60708864\", alpha=\"0.16\", expect_size=\"30354432\"] \n  13 -> 21 [size =\"30354432\"]\n  13 -> 24 [size =\"30354432\"]\n  13 -> 25 [size =\"30354432\"]\n  13 -> 27 [size =\"30354432\"]\n  13 -> 29 [size =\"30354432\"]\n  14 [size=\"42893312\", alpha=\"0.11\", expect_size=\"21446656\"] \n  14 -> 22 [size =\"21446656\"]\n  14 -> 23 [size =\"21446656\"]\n  14 -> 25 [size =\"21446656\"]\n  14 -> 27 [size =\"21446656\"]\n  15 [size=\"64616448\", alpha=\"0.16\", expect_size=\"32308224\"] \n  15 -> 21 [size =\"32308224\"]\n  15 -> 22 [size =\"32308224\"]\n  15 -> 24 [size =\"32308224\"]\n  15 -> 25 [size =\"32308224\"]\n  15 -> 26 [size =\"32308224\"]\n  15 -> 27 [size =\"32308224\"]\n  16 [size=\"41345024\", alpha=\"0.06\", expect_size=\"20672512\"] \n  16 -> 21 [size =\"20672512\"]\n  16 -> 23 [size =\"20672512\"]\n  16 -> 24 [size =\"20672512\"]\n  16 -> 25 [size =\"20672512\"]\n  16 -> 26 [size =\"20672512\"]\n  16 -> 27 [size =\"20672512\"]\n  17 [size=\"100347904\", alpha=\"0.11\", expect_size=\"50173952\"] \n  17 -> 22 [size =\"50173952\"]\n  17 -> 23 [size =\"50173952\"]\n  17 -> 27 [size =\"50173952\"]\n  17 -> 28 [size =\"50173952\"]\n  17 -> 29 [size =\"50173952\"]\n  18 [size=\"100452352\", alpha=\"0.00\", expect_size=\"50226176\"] \n  18 -> 21 [size =\"50226176\"]\n  18 -> 22 [size =\"50226176\"]\n  18 -> 24 [size =\"50226176\"]\n  18 -> 26 [size =\"50226176\"]\n  18 -> 28 [size =\"50226176\"]\n  18 -> 29 [size =\"50226176\"]\n  19 [size=\"96593920\", alpha=\"0.20\", expect_size=\"48296960\"] \n  19 -> 21 [size =\"48296960\"]\n  19 -> 23 [size =\"48296960\"]\n  19 -> 25 [size =\"48296960\"]\n  19 -> 28 [size =\"48296960\"]\n  19 -> 29 [size =\"48296960\"]\n  20 [size=\"30566400\", alpha=\"0.12\", expect_size=\"15283200\"] \n  20 -> 21 [size =\"15283200\"]\n  20 -> 23 [size =\"15283200\"]\n  20 -> 24 [size =\"15283200\"]\n  20 -> 25 [size =\"15283200\"]\n  20 -> 26 [size =\"15283200\"]\n  20 -> 27 [size =\"15283200\"]\n  21 [size=\"101683200\", alpha=\"0.05\", expect_size=\"50841600\"] \n  21 -> 30 [size =\"50841600\"]\n  22 [size=\"10924032\", alpha=\"0.01\", expect_size=\"5462016\"] \n  22 -> 30 [size =\"5462016\"]\n  23 [size=\"87805952\", alpha=\"0.03\", expect_size=\"43902976\"] \n  23 -> 30 [size =\"43902976\"]\n  24 [size=\"68485120\", alpha=\"0.11\", expect_size=\"34242560\"] \n  25 [size=\"25718784\", alpha=\"0.20\", expect_size=\"12859392\"] \n  26 [size=\"101324800\", alpha=\"0.01\", expect_size=\"50662400\"] \n  27 [size=\"37371904\", alpha=\"0.04\", expect_size=\"18685952\"] \n  28 [size=\"91088896\", alpha=\"0.01\", expect_size=\"45544448\"] \n  28 -> 30 [size =\"45544448\"]\n  29 [size=\"91584512\", alpha=\"0.16\", expect_size=\"45792256\"] \n  29 -> 30 [size =\"45792256\"]\n  30 [size=\"89761792\", alpha=\"0.19\", expect_size=\"44880896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77519360\", alpha=\"0.01\", expect_size=\"31007744\"] \n  1 -> 2 [size =\"31007744\"]\n  2 [size=\"25738240\", alpha=\"0.10\", expect_size=\"10295296\"] \n  2 -> 3 [size =\"10295296\"]\n  3 [size=\"111772160\", alpha=\"0.05\", expect_size=\"44708864\"] \n  3 -> 4 [size =\"44708864\"]\n  4 [size=\"39915520\", alpha=\"0.00\", expect_size=\"15966208\"] \n  4 -> 5 [size =\"15966208\"]\n  5 [size=\"76313600\", alpha=\"0.20\", expect_size=\"30525440\"] \n  5 -> 6 [size =\"30525440\"]\n  6 [size=\"45598720\", alpha=\"0.18\", expect_size=\"18239488\"] \n  6 -> 7 [size =\"18239488\"]\n  7 [size=\"79646720\", alpha=\"0.17\", expect_size=\"31858688\"] \n  7 -> 8 [size =\"31858688\"]\n  8 [size=\"41036800\", alpha=\"0.06\", expect_size=\"16414720\"] \n  8 -> 9 [size =\"16414720\"]\n  9 [size=\"40701440\", alpha=\"0.00\", expect_size=\"16280576\"] \n  9 -> 10 [size =\"16280576\"]\n  10 [size=\"24785920\", alpha=\"0.12\", expect_size=\"9914368\"] \n  10 -> 11 [size =\"9914368\"]\n  11 [size=\"38272000\", alpha=\"0.18\", expect_size=\"15308800\"] \n  11 -> 12 [size =\"15308800\"]\n  12 [size=\"46871040\", alpha=\"0.20\", expect_size=\"18748416\"] \n  12 -> 13 [size =\"18748416\"]\n  13 [size=\"106621440\", alpha=\"0.05\", expect_size=\"42648576\"] \n  13 -> 14 [size =\"42648576\"]\n  14 [size=\"18127360\", alpha=\"0.15\", expect_size=\"7250944\"] \n  14 -> 15 [size =\"7250944\"]\n  15 [size=\"18851840\", alpha=\"0.07\", expect_size=\"7540736\"] \n  15 -> 16 [size =\"7540736\"]\n  16 [size=\"16240640\", alpha=\"0.12\", expect_size=\"6496256\"] \n  16 -> 17 [size =\"6496256\"]\n  17 [size=\"120143360\", alpha=\"0.01\", expect_size=\"48057344\"] \n  17 -> 18 [size =\"48057344\"]\n  18 [size=\"100784640\", alpha=\"0.04\", expect_size=\"40313856\"] \n  18 -> 19 [size =\"40313856\"]\n  19 [size=\"17820160\", alpha=\"0.16\", expect_size=\"7128064\"] \n  19 -> 20 [size =\"7128064\"]\n  20 [size=\"18762240\", alpha=\"0.06\", expect_size=\"7504896\"] \n  20 -> 21 [size =\"7504896\"]\n  21 [size=\"87536640\", alpha=\"0.06\", expect_size=\"35014656\"] \n  21 -> 22 [size =\"35014656\"]\n  22 [size=\"75187200\", alpha=\"0.09\", expect_size=\"30074880\"] \n  22 -> 23 [size =\"30074880\"]\n  23 [size=\"72565760\", alpha=\"0.08\", expect_size=\"29026304\"] \n  23 -> 24 [size =\"29026304\"]\n  24 [size=\"104207360\", alpha=\"0.12\", expect_size=\"41682944\"] \n  24 -> 25 [size =\"41682944\"]\n  25 [size=\"75432960\", alpha=\"0.07\", expect_size=\"30173184\"] \n  25 -> 26 [size =\"30173184\"]\n  26 [size=\"118167040\", alpha=\"0.07\", expect_size=\"47266816\"] \n  26 -> 27 [size =\"47266816\"]\n  27 [size=\"73740800\", alpha=\"0.18\", expect_size=\"29496320\"] \n  27 -> 28 [size =\"29496320\"]\n  28 [size=\"77393920\", alpha=\"0.15\", expect_size=\"30957568\"] \n  28 -> 29 [size =\"30957568\"]\n  29 [size=\"98659840\", alpha=\"0.16\", expect_size=\"39463936\"] \n  29 -> 30 [size =\"39463936\"]\n  30 [size=\"75002880\", alpha=\"0.18\", expect_size=\"30001152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32312320\", alpha=\"0.03\", expect_size=\"12924928\"] \n  1 -> 5 [size =\"12924928\"]\n  1 -> 7 [size =\"12924928\"]\n  1 -> 8 [size =\"12924928\"]\n  2 [size=\"129041920\", alpha=\"0.19\", expect_size=\"51616768\"] \n  2 -> 5 [size =\"51616768\"]\n  2 -> 7 [size =\"51616768\"]\n  3 [size=\"119713280\", alpha=\"0.16\", expect_size=\"47885312\"] \n  4 [size=\"129052160\", alpha=\"0.13\", expect_size=\"51620864\"] \n  4 -> 6 [size =\"51620864\"]\n  5 [size=\"32785920\", alpha=\"0.00\", expect_size=\"13114368\"] \n  6 [size=\"99811840\", alpha=\"0.03\", expect_size=\"39924736\"] \n  6 -> 11 [size =\"39924736\"]\n  6 -> 12 [size =\"39924736\"]\n  7 [size=\"34273280\", alpha=\"0.02\", expect_size=\"13709312\"] \n  7 -> 9 [size =\"13709312\"]\n  7 -> 10 [size =\"13709312\"]\n  7 -> 12 [size =\"13709312\"]\n  8 [size=\"35801600\", alpha=\"0.02\", expect_size=\"14320640\"] \n  8 -> 9 [size =\"14320640\"]\n  8 -> 10 [size =\"14320640\"]\n  8 -> 11 [size =\"14320640\"]\n  8 -> 12 [size =\"14320640\"]\n  9 [size=\"74483200\", alpha=\"0.03\", expect_size=\"29793280\"] \n  10 [size=\"118415360\", alpha=\"0.13\", expect_size=\"47366144\"] \n  10 -> 13 [size =\"47366144\"]\n  10 -> 14 [size =\"47366144\"]\n  10 -> 16 [size =\"47366144\"]\n  11 [size=\"115466240\", alpha=\"0.19\", expect_size=\"46186496\"] \n  11 -> 16 [size =\"46186496\"]\n  12 [size=\"13140480\", alpha=\"0.12\", expect_size=\"5256192\"] \n  12 -> 15 [size =\"5256192\"]\n  12 -> 16 [size =\"5256192\"]\n  13 [size=\"124759040\", alpha=\"0.01\", expect_size=\"49903616\"] \n  13 -> 19 [size =\"49903616\"]\n  14 [size=\"100244480\", alpha=\"0.11\", expect_size=\"40097792\"] \n  14 -> 17 [size =\"40097792\"]\n  15 [size=\"60761600\", alpha=\"0.12\", expect_size=\"24304640\"] \n  15 -> 17 [size =\"24304640\"]\n  15 -> 18 [size =\"24304640\"]\n  15 -> 20 [size =\"24304640\"]\n  16 [size=\"62981120\", alpha=\"0.06\", expect_size=\"25192448\"] \n  17 [size=\"82982400\", alpha=\"0.06\", expect_size=\"33192960\"] \n  17 -> 24 [size =\"33192960\"]\n  18 [size=\"91847680\", alpha=\"0.18\", expect_size=\"36739072\"] \n  18 -> 22 [size =\"36739072\"]\n  18 -> 23 [size =\"36739072\"]\n  18 -> 24 [size =\"36739072\"]\n  19 [size=\"102740480\", alpha=\"0.13\", expect_size=\"41096192\"] \n  19 -> 22 [size =\"41096192\"]\n  20 [size=\"121438720\", alpha=\"0.15\", expect_size=\"48575488\"] \n  20 -> 21 [size =\"48575488\"]\n  20 -> 22 [size =\"48575488\"]\n  20 -> 23 [size =\"48575488\"]\n  21 [size=\"77283840\", alpha=\"0.20\", expect_size=\"30913536\"] \n  21 -> 25 [size =\"30913536\"]\n  21 -> 27 [size =\"30913536\"]\n  22 [size=\"71636480\", alpha=\"0.04\", expect_size=\"28654592\"] \n  22 -> 28 [size =\"28654592\"]\n  23 [size=\"26199040\", alpha=\"0.07\", expect_size=\"10479616\"] \n  23 -> 26 [size =\"10479616\"]\n  23 -> 27 [size =\"10479616\"]\n  23 -> 28 [size =\"10479616\"]\n  24 [size=\"32668160\", alpha=\"0.10\", expect_size=\"13067264\"] \n  24 -> 26 [size =\"13067264\"]\n  25 [size=\"98012160\", alpha=\"0.15\", expect_size=\"39204864\"] \n  25 -> 29 [size =\"39204864\"]\n  25 -> 30 [size =\"39204864\"]\n  26 [size=\"51750400\", alpha=\"0.16\", expect_size=\"20700160\"] \n  27 [size=\"89428480\", alpha=\"0.20\", expect_size=\"35771392\"] \n  27 -> 29 [size =\"35771392\"]\n  28 [size=\"127431680\", alpha=\"0.08\", expect_size=\"50972672\"] \n  28 -> 29 [size =\"50972672\"]\n  28 -> 30 [size =\"50972672\"]\n  29 [size=\"117199360\", alpha=\"0.06\", expect_size=\"46879744\"] \n  30 [size=\"74114560\", alpha=\"0.02\", expect_size=\"29645824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73242624\", alpha=\"0.06\", expect_size=\"36621312\"] \n  1 -> 30 [size =\"36621312\"]\n  2 [size=\"73644032\", alpha=\"0.07\", expect_size=\"36822016\"] \n  3 [size=\"57640960\", alpha=\"0.15\", expect_size=\"28820480\"] \n  4 [size=\"69898240\", alpha=\"0.01\", expect_size=\"34949120\"] \n  4 -> 27 [size =\"34949120\"]\n  5 [size=\"31186944\", alpha=\"0.15\", expect_size=\"15593472\"] \n  5 -> 28 [size =\"15593472\"]\n  5 -> 29 [size =\"15593472\"]\n  6 [size=\"87189504\", alpha=\"0.15\", expect_size=\"43594752\"] \n  6 -> 29 [size =\"43594752\"]\n  7 [size=\"87111680\", alpha=\"0.07\", expect_size=\"43555840\"] \n  8 [size=\"79624192\", alpha=\"0.03\", expect_size=\"39812096\"] \n  9 [size=\"36556800\", alpha=\"0.05\", expect_size=\"18278400\"] \n  10 [size=\"79544320\", alpha=\"0.04\", expect_size=\"39772160\"] \n  10 -> 29 [size =\"39772160\"]\n  10 -> 30 [size =\"39772160\"]\n  11 [size=\"59015168\", alpha=\"0.12\", expect_size=\"29507584\"] \n  11 -> 28 [size =\"29507584\"]\n  12 [size=\"87238656\", alpha=\"0.01\", expect_size=\"43619328\"] \n  12 -> 29 [size =\"43619328\"]\n  12 -> 30 [size =\"43619328\"]\n  13 [size=\"24037376\", alpha=\"0.08\", expect_size=\"12018688\"] \n  13 -> 27 [size =\"12018688\"]\n  13 -> 30 [size =\"12018688\"]\n  14 [size=\"96864256\", alpha=\"0.07\", expect_size=\"48432128\"] \n  15 [size=\"103583744\", alpha=\"0.18\", expect_size=\"51791872\"] \n  15 -> 27 [size =\"51791872\"]\n  15 -> 30 [size =\"51791872\"]\n  16 [size=\"81074176\", alpha=\"0.09\", expect_size=\"40537088\"] \n  16 -> 28 [size =\"40537088\"]\n  16 -> 30 [size =\"40537088\"]\n  17 [size=\"59699200\", alpha=\"0.16\", expect_size=\"29849600\"] \n  18 [size=\"93720576\", alpha=\"0.14\", expect_size=\"46860288\"] \n  18 -> 28 [size =\"46860288\"]\n  18 -> 29 [size =\"46860288\"]\n  19 [size=\"14751744\", alpha=\"0.19\", expect_size=\"7375872\"] \n  19 -> 27 [size =\"7375872\"]\n  19 -> 28 [size =\"7375872\"]\n  20 [size=\"38590464\", alpha=\"0.15\", expect_size=\"19295232\"] \n  20 -> 28 [size =\"19295232\"]\n  20 -> 29 [size =\"19295232\"]\n  20 -> 30 [size =\"19295232\"]\n  21 [size=\"57997312\", alpha=\"0.03\", expect_size=\"28998656\"] \n  21 -> 28 [size =\"28998656\"]\n  22 [size=\"21661696\", alpha=\"0.05\", expect_size=\"10830848\"] \n  22 -> 28 [size =\"10830848\"]\n  23 [size=\"25796608\", alpha=\"0.18\", expect_size=\"12898304\"] \n  24 [size=\"64411648\", alpha=\"0.02\", expect_size=\"32205824\"] \n  25 [size=\"95424512\", alpha=\"0.12\", expect_size=\"47712256\"] \n  25 -> 28 [size =\"47712256\"]\n  26 [size=\"86083584\", alpha=\"0.17\", expect_size=\"43041792\"] \n  26 -> 28 [size =\"43041792\"]\n  26 -> 29 [size =\"43041792\"]\n  27 [size=\"32468992\", alpha=\"0.19\", expect_size=\"16234496\"] \n  28 [size=\"11673600\", alpha=\"0.15\", expect_size=\"5836800\"] \n  29 [size=\"78280704\", alpha=\"0.17\", expect_size=\"39140352\"] \n  30 [size=\"74014720\", alpha=\"0.13\", expect_size=\"37007360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110462293\", alpha=\"0.09\", expect_size=\"33138688\"] \n  1 -> 3 [size =\"33138688\"]\n  1 -> 4 [size =\"33138688\"]\n  2 [size=\"58217813\", alpha=\"0.18\", expect_size=\"17465344\"] \n  2 -> 4 [size =\"17465344\"]\n  3 [size=\"113954133\", alpha=\"0.03\", expect_size=\"34186240\"] \n  4 [size=\"163382613\", alpha=\"0.10\", expect_size=\"49014784\"] \n  4 -> 5 [size =\"49014784\"]\n  5 [size=\"111144960\", alpha=\"0.15\", expect_size=\"33343488\"] \n  5 -> 6 [size =\"33343488\"]\n  5 -> 7 [size =\"33343488\"]\n  6 [size=\"39946240\", alpha=\"0.17\", expect_size=\"11983872\"] \n  6 -> 8 [size =\"11983872\"]\n  7 [size=\"141902507\", alpha=\"0.10\", expect_size=\"42570752\"] \n  7 -> 8 [size =\"42570752\"]\n  8 [size=\"146882560\", alpha=\"0.09\", expect_size=\"44064768\"] \n  8 -> 9 [size =\"44064768\"]\n  9 [size=\"102597973\", alpha=\"0.03\", expect_size=\"30779392\"] \n  9 -> 10 [size =\"30779392\"]\n  9 -> 11 [size =\"30779392\"]\n  10 [size=\"21985280\", alpha=\"0.19\", expect_size=\"6595584\"] \n  10 -> 12 [size =\"6595584\"]\n  10 -> 13 [size =\"6595584\"]\n  11 [size=\"165509120\", alpha=\"0.18\", expect_size=\"49652736\"] \n  11 -> 13 [size =\"49652736\"]\n  12 [size=\"79100587\", alpha=\"0.08\", expect_size=\"23730176\"] \n  12 -> 14 [size =\"23730176\"]\n  12 -> 15 [size =\"23730176\"]\n  13 [size=\"60047360\", alpha=\"0.02\", expect_size=\"18014208\"] \n  13 -> 14 [size =\"18014208\"]\n  13 -> 15 [size =\"18014208\"]\n  14 [size=\"80861867\", alpha=\"0.09\", expect_size=\"24258560\"] \n  14 -> 16 [size =\"24258560\"]\n  15 [size=\"158965760\", alpha=\"0.08\", expect_size=\"47689728\"] \n  15 -> 16 [size =\"47689728\"]\n  16 [size=\"122026667\", alpha=\"0.10\", expect_size=\"36608000\"] \n  16 -> 17 [size =\"36608000\"]\n  17 [size=\"102212267\", alpha=\"0.11\", expect_size=\"30663680\"] \n  17 -> 18 [size =\"30663680\"]\n  17 -> 19 [size =\"30663680\"]\n  18 [size=\"20773547\", alpha=\"0.17\", expect_size=\"6232064\"] \n  18 -> 20 [size =\"6232064\"]\n  18 -> 21 [size =\"6232064\"]\n  19 [size=\"88825173\", alpha=\"0.17\", expect_size=\"26647552\"] \n  19 -> 20 [size =\"26647552\"]\n  20 [size=\"109540693\", alpha=\"0.20\", expect_size=\"32862208\"] \n  20 -> 23 [size =\"32862208\"]\n  21 [size=\"104622080\", alpha=\"0.14\", expect_size=\"31386624\"] \n  21 -> 22 [size =\"31386624\"]\n  21 -> 23 [size =\"31386624\"]\n  22 [size=\"92078080\", alpha=\"0.13\", expect_size=\"27623424\"] \n  22 -> 24 [size =\"27623424\"]\n  22 -> 25 [size =\"27623424\"]\n  23 [size=\"153234773\", alpha=\"0.05\", expect_size=\"45970432\"] \n  23 -> 24 [size =\"45970432\"]\n  24 [size=\"165338453\", alpha=\"0.15\", expect_size=\"49601536\"] \n  24 -> 26 [size =\"49601536\"]\n  25 [size=\"75236693\", alpha=\"0.17\", expect_size=\"22571008\"] \n  25 -> 26 [size =\"22571008\"]\n  26 [size=\"135621973\", alpha=\"0.02\", expect_size=\"40686592\"] \n  26 -> 27 [size =\"40686592\"]\n  27 [size=\"57832107\", alpha=\"0.03\", expect_size=\"17349632\"] \n  27 -> 28 [size =\"17349632\"]\n  27 -> 29 [size =\"17349632\"]\n  28 [size=\"143448747\", alpha=\"0.20\", expect_size=\"43034624\"] \n  28 -> 30 [size =\"43034624\"]\n  29 [size=\"123057493\", alpha=\"0.08\", expect_size=\"36917248\"] \n  29 -> 30 [size =\"36917248\"]\n  30 [size=\"102126933\", alpha=\"0.16\", expect_size=\"30638080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31086592\", alpha=\"0.18\", expect_size=\"15543296\"] \n  1 -> 2 [size =\"15543296\"]\n  2 [size=\"18978816\", alpha=\"0.19\", expect_size=\"9489408\"] \n  2 -> 3 [size =\"9489408\"]\n  3 [size=\"23506944\", alpha=\"0.09\", expect_size=\"11753472\"] \n  3 -> 4 [size =\"11753472\"]\n  4 [size=\"43911168\", alpha=\"0.05\", expect_size=\"21955584\"] \n  4 -> 5 [size =\"21955584\"]\n  5 [size=\"69464064\", alpha=\"0.00\", expect_size=\"34732032\"] \n  5 -> 6 [size =\"34732032\"]\n  6 [size=\"39098368\", alpha=\"0.20\", expect_size=\"19549184\"] \n  6 -> 7 [size =\"19549184\"]\n  7 [size=\"73164800\", alpha=\"0.18\", expect_size=\"36582400\"] \n  7 -> 8 [size =\"36582400\"]\n  8 [size=\"81741824\", alpha=\"0.11\", expect_size=\"40870912\"] \n  8 -> 9 [size =\"40870912\"]\n  9 [size=\"53872640\", alpha=\"0.13\", expect_size=\"26936320\"] \n  9 -> 10 [size =\"26936320\"]\n  10 [size=\"16183296\", alpha=\"0.05\", expect_size=\"8091648\"] \n  10 -> 11 [size =\"8091648\"]\n  11 [size=\"60512256\", alpha=\"0.05\", expect_size=\"30256128\"] \n  11 -> 12 [size =\"30256128\"]\n  12 [size=\"51193856\", alpha=\"0.18\", expect_size=\"25596928\"] \n  12 -> 13 [size =\"25596928\"]\n  13 [size=\"44832768\", alpha=\"0.19\", expect_size=\"22416384\"] \n  13 -> 14 [size =\"22416384\"]\n  14 [size=\"86204416\", alpha=\"0.14\", expect_size=\"43102208\"] \n  14 -> 15 [size =\"43102208\"]\n  15 [size=\"14718976\", alpha=\"0.19\", expect_size=\"7359488\"] \n  15 -> 16 [size =\"7359488\"]\n  16 [size=\"16066560\", alpha=\"0.12\", expect_size=\"8033280\"] \n  16 -> 17 [size =\"8033280\"]\n  17 [size=\"15546368\", alpha=\"0.02\", expect_size=\"7773184\"] \n  17 -> 18 [size =\"7773184\"]\n  18 [size=\"101060608\", alpha=\"0.02\", expect_size=\"50530304\"] \n  18 -> 19 [size =\"50530304\"]\n  19 [size=\"60192768\", alpha=\"0.19\", expect_size=\"30096384\"] \n  19 -> 20 [size =\"30096384\"]\n  20 [size=\"25679872\", alpha=\"0.06\", expect_size=\"12839936\"] \n  20 -> 21 [size =\"12839936\"]\n  21 [size=\"48453632\", alpha=\"0.17\", expect_size=\"24226816\"] \n  21 -> 22 [size =\"24226816\"]\n  22 [size=\"70309888\", alpha=\"0.10\", expect_size=\"35154944\"] \n  22 -> 23 [size =\"35154944\"]\n  23 [size=\"61603840\", alpha=\"0.07\", expect_size=\"30801920\"] \n  23 -> 24 [size =\"30801920\"]\n  24 [size=\"57077760\", alpha=\"0.10\", expect_size=\"28538880\"] \n  24 -> 25 [size =\"28538880\"]\n  25 [size=\"28268544\", alpha=\"0.05\", expect_size=\"14134272\"] \n  25 -> 26 [size =\"14134272\"]\n  26 [size=\"24045568\", alpha=\"0.07\", expect_size=\"12022784\"] \n  26 -> 27 [size =\"12022784\"]\n  27 [size=\"82415616\", alpha=\"0.02\", expect_size=\"41207808\"] \n  27 -> 28 [size =\"41207808\"]\n  28 [size=\"89583616\", alpha=\"0.12\", expect_size=\"44791808\"] \n  28 -> 29 [size =\"44791808\"]\n  29 [size=\"97761280\", alpha=\"0.11\", expect_size=\"48880640\"] \n  29 -> 30 [size =\"48880640\"]\n  30 [size=\"91002880\", alpha=\"0.12\", expect_size=\"45501440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60421120\", alpha=\"0.12\", expect_size=\"24168448\"] \n  1 -> 8 [size =\"24168448\"]\n  1 -> 9 [size =\"24168448\"]\n  2 [size=\"83640320\", alpha=\"0.17\", expect_size=\"33456128\"] \n  2 -> 13 [size =\"33456128\"]\n  2 -> 14 [size =\"33456128\"]\n  3 [size=\"51509760\", alpha=\"0.17\", expect_size=\"20603904\"] \n  3 -> 8 [size =\"20603904\"]\n  4 [size=\"116723200\", alpha=\"0.07\", expect_size=\"46689280\"] \n  4 -> 10 [size =\"46689280\"]\n  4 -> 12 [size =\"46689280\"]\n  4 -> 15 [size =\"46689280\"]\n  5 [size=\"54059520\", alpha=\"0.04\", expect_size=\"21623808\"] \n  5 -> 11 [size =\"21623808\"]\n  5 -> 13 [size =\"21623808\"]\n  5 -> 14 [size =\"21623808\"]\n  6 [size=\"41418240\", alpha=\"0.13\", expect_size=\"16567296\"] \n  6 -> 9 [size =\"16567296\"]\n  6 -> 13 [size =\"16567296\"]\n  6 -> 15 [size =\"16567296\"]\n  7 [size=\"80606720\", alpha=\"0.16\", expect_size=\"32242688\"] \n  7 -> 9 [size =\"32242688\"]\n  7 -> 15 [size =\"32242688\"]\n  8 [size=\"17013760\", alpha=\"0.08\", expect_size=\"6805504\"] \n  8 -> 16 [size =\"6805504\"]\n  8 -> 17 [size =\"6805504\"]\n  8 -> 21 [size =\"6805504\"]\n  8 -> 22 [size =\"6805504\"]\n  9 [size=\"107586560\", alpha=\"0.09\", expect_size=\"43034624\"] \n  9 -> 21 [size =\"43034624\"]\n  9 -> 23 [size =\"43034624\"]\n  9 -> 24 [size =\"43034624\"]\n  10 [size=\"119631360\", alpha=\"0.19\", expect_size=\"47852544\"] \n  10 -> 19 [size =\"47852544\"]\n  10 -> 20 [size =\"47852544\"]\n  10 -> 24 [size =\"47852544\"]\n  11 [size=\"99412480\", alpha=\"0.19\", expect_size=\"39764992\"] \n  12 [size=\"51438080\", alpha=\"0.15\", expect_size=\"20575232\"] \n  13 [size=\"36282880\", alpha=\"0.07\", expect_size=\"14513152\"] \n  14 [size=\"15654400\", alpha=\"0.11\", expect_size=\"6261760\"] \n  14 -> 18 [size =\"6261760\"]\n  14 -> 19 [size =\"6261760\"]\n  15 [size=\"54312960\", alpha=\"0.19\", expect_size=\"21725184\"] \n  16 [size=\"76436480\", alpha=\"0.03\", expect_size=\"30574592\"] \n  16 -> 27 [size =\"30574592\"]\n  17 [size=\"37527040\", alpha=\"0.02\", expect_size=\"15010816\"] \n  17 -> 28 [size =\"15010816\"]\n  17 -> 29 [size =\"15010816\"]\n  18 [size=\"13977600\", alpha=\"0.03\", expect_size=\"5591040\"] \n  18 -> 27 [size =\"5591040\"]\n  18 -> 29 [size =\"5591040\"]\n  19 [size=\"63283200\", alpha=\"0.15\", expect_size=\"25313280\"] \n  19 -> 26 [size =\"25313280\"]\n  19 -> 30 [size =\"25313280\"]\n  20 [size=\"118105600\", alpha=\"0.12\", expect_size=\"47242240\"] \n  20 -> 27 [size =\"47242240\"]\n  20 -> 28 [size =\"47242240\"]\n  20 -> 30 [size =\"47242240\"]\n  21 [size=\"111539200\", alpha=\"0.18\", expect_size=\"44615680\"] \n  21 -> 25 [size =\"44615680\"]\n  21 -> 27 [size =\"44615680\"]\n  21 -> 30 [size =\"44615680\"]\n  22 [size=\"104097280\", alpha=\"0.15\", expect_size=\"41638912\"] \n  23 [size=\"76677120\", alpha=\"0.19\", expect_size=\"30670848\"] \n  23 -> 26 [size =\"30670848\"]\n  24 [size=\"119864320\", alpha=\"0.00\", expect_size=\"47945728\"] \n  24 -> 25 [size =\"47945728\"]\n  25 [size=\"64673280\", alpha=\"0.09\", expect_size=\"25869312\"] \n  26 [size=\"56048640\", alpha=\"0.02\", expect_size=\"22419456\"] \n  27 [size=\"75932160\", alpha=\"0.06\", expect_size=\"30372864\"] \n  28 [size=\"90378240\", alpha=\"0.11\", expect_size=\"36151296\"] \n  29 [size=\"108149760\", alpha=\"0.13\", expect_size=\"43259904\"] \n  30 [size=\"79518720\", alpha=\"0.12\", expect_size=\"31807488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30948693\", alpha=\"0.05\", expect_size=\"9284608\"] \n  1 -> 22 [size =\"9284608\"]\n  1 -> 29 [size =\"9284608\"]\n  2 [size=\"85971627\", alpha=\"0.04\", expect_size=\"25791488\"] \n  2 -> 19 [size =\"25791488\"]\n  2 -> 28 [size =\"25791488\"]\n  2 -> 29 [size =\"25791488\"]\n  3 [size=\"87227733\", alpha=\"0.07\", expect_size=\"26168320\"] \n  3 -> 19 [size =\"26168320\"]\n  3 -> 21 [size =\"26168320\"]\n  3 -> 24 [size =\"26168320\"]\n  3 -> 28 [size =\"26168320\"]\n  3 -> 29 [size =\"26168320\"]\n  4 [size=\"84309333\", alpha=\"0.20\", expect_size=\"25292800\"] \n  4 -> 19 [size =\"25292800\"]\n  4 -> 24 [size =\"25292800\"]\n  5 [size=\"120142507\", alpha=\"0.14\", expect_size=\"36042752\"] \n  5 -> 18 [size =\"36042752\"]\n  5 -> 21 [size =\"36042752\"]\n  5 -> 22 [size =\"36042752\"]\n  5 -> 24 [size =\"36042752\"]\n  5 -> 25 [size =\"36042752\"]\n  5 -> 28 [size =\"36042752\"]\n  6 [size=\"84776960\", alpha=\"0.11\", expect_size=\"25433088\"] \n  6 -> 21 [size =\"25433088\"]\n  6 -> 22 [size =\"25433088\"]\n  6 -> 23 [size =\"25433088\"]\n  6 -> 24 [size =\"25433088\"]\n  6 -> 25 [size =\"25433088\"]\n  6 -> 29 [size =\"25433088\"]\n  7 [size=\"157815467\", alpha=\"0.10\", expect_size=\"47344640\"] \n  7 -> 19 [size =\"47344640\"]\n  7 -> 22 [size =\"47344640\"]\n  7 -> 26 [size =\"47344640\"]\n  8 [size=\"128126293\", alpha=\"0.20\", expect_size=\"38437888\"] \n  8 -> 19 [size =\"38437888\"]\n  8 -> 25 [size =\"38437888\"]\n  8 -> 28 [size =\"38437888\"]\n  9 [size=\"89320107\", alpha=\"0.20\", expect_size=\"26796032\"] \n  9 -> 19 [size =\"26796032\"]\n  9 -> 29 [size =\"26796032\"]\n  10 [size=\"56060587\", alpha=\"0.06\", expect_size=\"16818176\"] \n  10 -> 19 [size =\"16818176\"]\n  10 -> 20 [size =\"16818176\"]\n  10 -> 23 [size =\"16818176\"]\n  10 -> 24 [size =\"16818176\"]\n  10 -> 30 [size =\"16818176\"]\n  11 [size=\"148452693\", alpha=\"0.15\", expect_size=\"44535808\"] \n  11 -> 22 [size =\"44535808\"]\n  11 -> 23 [size =\"44535808\"]\n  11 -> 26 [size =\"44535808\"]\n  11 -> 28 [size =\"44535808\"]\n  11 -> 30 [size =\"44535808\"]\n  12 [size=\"33863680\", alpha=\"0.12\", expect_size=\"10159104\"] \n  13 [size=\"63815680\", alpha=\"0.02\", expect_size=\"19144704\"] \n  13 -> 22 [size =\"19144704\"]\n  13 -> 24 [size =\"19144704\"]\n  13 -> 27 [size =\"19144704\"]\n  14 [size=\"118401707\", alpha=\"0.15\", expect_size=\"35520512\"] \n  14 -> 21 [size =\"35520512\"]\n  14 -> 22 [size =\"35520512\"]\n  14 -> 23 [size =\"35520512\"]\n  14 -> 29 [size =\"35520512\"]\n  15 [size=\"115964587\", alpha=\"0.10\", expect_size=\"34789376\"] \n  15 -> 22 [size =\"34789376\"]\n  15 -> 24 [size =\"34789376\"]\n  16 [size=\"70806187\", alpha=\"0.01\", expect_size=\"21241856\"] \n  16 -> 26 [size =\"21241856\"]\n  17 [size=\"159829333\", alpha=\"0.17\", expect_size=\"47948800\"] \n  17 -> 19 [size =\"47948800\"]\n  17 -> 23 [size =\"47948800\"]\n  17 -> 24 [size =\"47948800\"]\n  17 -> 29 [size =\"47948800\"]\n  17 -> 30 [size =\"47948800\"]\n  18 [size=\"78011733\", alpha=\"0.12\", expect_size=\"23403520\"] \n  19 [size=\"76933120\", alpha=\"0.08\", expect_size=\"23079936\"] \n  20 [size=\"74830507\", alpha=\"0.02\", expect_size=\"22449152\"] \n  21 [size=\"122705920\", alpha=\"0.18\", expect_size=\"36811776\"] \n  22 [size=\"86811307\", alpha=\"0.02\", expect_size=\"26043392\"] \n  23 [size=\"21602987\", alpha=\"0.15\", expect_size=\"6480896\"] \n  24 [size=\"41140907\", alpha=\"0.17\", expect_size=\"12342272\"] \n  25 [size=\"159040853\", alpha=\"0.11\", expect_size=\"47712256\"] \n  26 [size=\"79435093\", alpha=\"0.15\", expect_size=\"23830528\"] \n  27 [size=\"89658027\", alpha=\"0.16\", expect_size=\"26897408\"] \n  28 [size=\"64600747\", alpha=\"0.11\", expect_size=\"19380224\"] \n  29 [size=\"158556160\", alpha=\"0.15\", expect_size=\"47566848\"] \n  30 [size=\"64764587\", alpha=\"0.05\", expect_size=\"19429376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104890880\", alpha=\"0.14\", expect_size=\"41956352\"] \n  1 -> 3 [size =\"41956352\"]\n  1 -> 4 [size =\"41956352\"]\n  1 -> 6 [size =\"41956352\"]\n  1 -> 7 [size =\"41956352\"]\n  1 -> 8 [size =\"41956352\"]\n  1 -> 9 [size =\"41956352\"]\n  2 [size=\"55953920\", alpha=\"0.09\", expect_size=\"22381568\"] \n  2 -> 3 [size =\"22381568\"]\n  2 -> 5 [size =\"22381568\"]\n  2 -> 6 [size =\"22381568\"]\n  2 -> 7 [size =\"22381568\"]\n  2 -> 8 [size =\"22381568\"]\n  2 -> 9 [size =\"22381568\"]\n  3 [size=\"23129600\", alpha=\"0.03\", expect_size=\"9251840\"] \n  3 -> 11 [size =\"9251840\"]\n  3 -> 12 [size =\"9251840\"]\n  4 [size=\"21683200\", alpha=\"0.09\", expect_size=\"8673280\"] \n  4 -> 10 [size =\"8673280\"]\n  5 [size=\"117629440\", alpha=\"0.18\", expect_size=\"47051776\"] \n  5 -> 10 [size =\"47051776\"]\n  5 -> 11 [size =\"47051776\"]\n  6 [size=\"58122240\", alpha=\"0.14\", expect_size=\"23248896\"] \n  6 -> 11 [size =\"23248896\"]\n  6 -> 12 [size =\"23248896\"]\n  7 [size=\"65932800\", alpha=\"0.14\", expect_size=\"26373120\"] \n  7 -> 11 [size =\"26373120\"]\n  8 [size=\"91873280\", alpha=\"0.09\", expect_size=\"36749312\"] \n  8 -> 10 [size =\"36749312\"]\n  8 -> 11 [size =\"36749312\"]\n  9 [size=\"95953920\", alpha=\"0.12\", expect_size=\"38381568\"] \n  9 -> 10 [size =\"38381568\"]\n  9 -> 11 [size =\"38381568\"]\n  10 [size=\"49697280\", alpha=\"0.10\", expect_size=\"19878912\"] \n  10 -> 13 [size =\"19878912\"]\n  10 -> 14 [size =\"19878912\"]\n  10 -> 15 [size =\"19878912\"]\n  10 -> 16 [size =\"19878912\"]\n  10 -> 17 [size =\"19878912\"]\n  11 [size=\"53957120\", alpha=\"0.11\", expect_size=\"21582848\"] \n  11 -> 14 [size =\"21582848\"]\n  11 -> 16 [size =\"21582848\"]\n  11 -> 17 [size =\"21582848\"]\n  12 [size=\"19612160\", alpha=\"0.16\", expect_size=\"7844864\"] \n  12 -> 13 [size =\"7844864\"]\n  12 -> 14 [size =\"7844864\"]\n  12 -> 15 [size =\"7844864\"]\n  12 -> 17 [size =\"7844864\"]\n  13 [size=\"70215680\", alpha=\"0.19\", expect_size=\"28086272\"] \n  13 -> 18 [size =\"28086272\"]\n  13 -> 19 [size =\"28086272\"]\n  13 -> 21 [size =\"28086272\"]\n  13 -> 22 [size =\"28086272\"]\n  14 [size=\"89666560\", alpha=\"0.08\", expect_size=\"35866624\"] \n  14 -> 18 [size =\"35866624\"]\n  14 -> 19 [size =\"35866624\"]\n  15 [size=\"25884160\", alpha=\"0.08\", expect_size=\"10353664\"] \n  15 -> 19 [size =\"10353664\"]\n  15 -> 19 [size =\"10353664\"]\n  15 -> 20 [size =\"10353664\"]\n  15 -> 22 [size =\"10353664\"]\n  16 [size=\"130444800\", alpha=\"0.07\", expect_size=\"52177920\"] \n  16 -> 18 [size =\"52177920\"]\n  16 -> 19 [size =\"52177920\"]\n  16 -> 21 [size =\"52177920\"]\n  17 [size=\"97236480\", alpha=\"0.05\", expect_size=\"38894592\"] \n  17 -> 18 [size =\"38894592\"]\n  17 -> 20 [size =\"38894592\"]\n  17 -> 21 [size =\"38894592\"]\n  17 -> 22 [size =\"38894592\"]\n  18 [size=\"61888000\", alpha=\"0.02\", expect_size=\"24755200\"] \n  18 -> 23 [size =\"24755200\"]\n  18 -> 25 [size =\"24755200\"]\n  18 -> 27 [size =\"24755200\"]\n  18 -> 28 [size =\"24755200\"]\n  19 [size=\"112611840\", alpha=\"0.18\", expect_size=\"45044736\"] \n  19 -> 23 [size =\"45044736\"]\n  20 [size=\"67911680\", alpha=\"0.06\", expect_size=\"27164672\"] \n  20 -> 26 [size =\"27164672\"]\n  20 -> 27 [size =\"27164672\"]\n  21 [size=\"126673920\", alpha=\"0.10\", expect_size=\"50669568\"] \n  21 -> 24 [size =\"50669568\"]\n  21 -> 27 [size =\"50669568\"]\n  22 [size=\"73858560\", alpha=\"0.01\", expect_size=\"29543424\"] \n  22 -> 23 [size =\"29543424\"]\n  22 -> 25 [size =\"29543424\"]\n  22 -> 27 [size =\"29543424\"]\n  22 -> 28 [size =\"29543424\"]\n  23 [size=\"50304000\", alpha=\"0.14\", expect_size=\"20121600\"] \n  23 -> 29 [size =\"20121600\"]\n  23 -> 30 [size =\"20121600\"]\n  24 [size=\"42649600\", alpha=\"0.08\", expect_size=\"17059840\"] \n  24 -> 30 [size =\"17059840\"]\n  24 -> 30 [size =\"17059840\"]\n  25 [size=\"88627200\", alpha=\"0.00\", expect_size=\"35450880\"] \n  25 -> 29 [size =\"35450880\"]\n  25 -> 30 [size =\"35450880\"]\n  26 [size=\"20705280\", alpha=\"0.20\", expect_size=\"8282112\"] \n  26 -> 29 [size =\"8282112\"]\n  27 [size=\"63925760\", alpha=\"0.08\", expect_size=\"25570304\"] \n  27 -> 29 [size =\"25570304\"]\n  27 -> 30 [size =\"25570304\"]\n  28 [size=\"91993600\", alpha=\"0.10\", expect_size=\"36797440\"] \n  28 -> 30 [size =\"36797440\"]\n  29 [size=\"104340480\", alpha=\"0.06\", expect_size=\"41736192\"] \n  30 [size=\"90562560\", alpha=\"0.09\", expect_size=\"36225024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38187008\", alpha=\"0.10\", expect_size=\"19093504\"] \n  1 -> 18 [size =\"19093504\"]\n  1 -> 21 [size =\"19093504\"]\n  1 -> 22 [size =\"19093504\"]\n  1 -> 23 [size =\"19093504\"]\n  1 -> 24 [size =\"19093504\"]\n  1 -> 26 [size =\"19093504\"]\n  1 -> 27 [size =\"19093504\"]\n  1 -> 29 [size =\"19093504\"]\n  1 -> 30 [size =\"19093504\"]\n  2 [size=\"40247296\", alpha=\"0.17\", expect_size=\"20123648\"] \n  2 -> 18 [size =\"20123648\"]\n  2 -> 20 [size =\"20123648\"]\n  2 -> 21 [size =\"20123648\"]\n  2 -> 22 [size =\"20123648\"]\n  2 -> 23 [size =\"20123648\"]\n  2 -> 24 [size =\"20123648\"]\n  2 -> 27 [size =\"20123648\"]\n  2 -> 28 [size =\"20123648\"]\n  2 -> 30 [size =\"20123648\"]\n  3 [size=\"25696256\", alpha=\"0.18\", expect_size=\"12848128\"] \n  3 -> 18 [size =\"12848128\"]\n  3 -> 19 [size =\"12848128\"]\n  3 -> 21 [size =\"12848128\"]\n  3 -> 22 [size =\"12848128\"]\n  3 -> 24 [size =\"12848128\"]\n  3 -> 27 [size =\"12848128\"]\n  3 -> 27 [size =\"12848128\"]\n  3 -> 29 [size =\"12848128\"]\n  4 [size=\"16828416\", alpha=\"0.04\", expect_size=\"8414208\"] \n  4 -> 18 [size =\"8414208\"]\n  4 -> 19 [size =\"8414208\"]\n  4 -> 21 [size =\"8414208\"]\n  4 -> 27 [size =\"8414208\"]\n  4 -> 28 [size =\"8414208\"]\n  4 -> 29 [size =\"8414208\"]\n  5 [size=\"21114880\", alpha=\"0.09\", expect_size=\"10557440\"] \n  5 -> 21 [size =\"10557440\"]\n  5 -> 24 [size =\"10557440\"]\n  5 -> 26 [size =\"10557440\"]\n  5 -> 27 [size =\"10557440\"]\n  5 -> 28 [size =\"10557440\"]\n  5 -> 29 [size =\"10557440\"]\n  6 [size=\"102682624\", alpha=\"0.04\", expect_size=\"51341312\"] \n  6 -> 18 [size =\"51341312\"]\n  6 -> 19 [size =\"51341312\"]\n  6 -> 21 [size =\"51341312\"]\n  6 -> 24 [size =\"51341312\"]\n  6 -> 27 [size =\"51341312\"]\n  6 -> 29 [size =\"51341312\"]\n  7 [size=\"26714112\", alpha=\"0.16\", expect_size=\"13357056\"] \n  7 -> 18 [size =\"13357056\"]\n  7 -> 21 [size =\"13357056\"]\n  7 -> 24 [size =\"13357056\"]\n  7 -> 24 [size =\"13357056\"]\n  7 -> 27 [size =\"13357056\"]\n  7 -> 28 [size =\"13357056\"]\n  7 -> 29 [size =\"13357056\"]\n  8 [size=\"74293248\", alpha=\"0.18\", expect_size=\"37146624\"] \n  8 -> 22 [size =\"37146624\"]\n  8 -> 23 [size =\"37146624\"]\n  8 -> 25 [size =\"37146624\"]\n  8 -> 26 [size =\"37146624\"]\n  8 -> 27 [size =\"37146624\"]\n  8 -> 29 [size =\"37146624\"]\n  8 -> 29 [size =\"37146624\"]\n  9 [size=\"84240384\", alpha=\"0.17\", expect_size=\"42120192\"] \n  9 -> 24 [size =\"42120192\"]\n  9 -> 25 [size =\"42120192\"]\n  9 -> 27 [size =\"42120192\"]\n  9 -> 29 [size =\"42120192\"]\n  9 -> 30 [size =\"42120192\"]\n  10 [size=\"103299072\", alpha=\"0.02\", expect_size=\"51649536\"] \n  10 -> 18 [size =\"51649536\"]\n  10 -> 21 [size =\"51649536\"]\n  10 -> 23 [size =\"51649536\"]\n  10 -> 24 [size =\"51649536\"]\n  10 -> 27 [size =\"51649536\"]\n  10 -> 29 [size =\"51649536\"]\n  11 [size=\"78417920\", alpha=\"0.07\", expect_size=\"39208960\"] \n  11 -> 21 [size =\"39208960\"]\n  11 -> 21 [size =\"39208960\"]\n  11 -> 24 [size =\"39208960\"]\n  11 -> 24 [size =\"39208960\"]\n  11 -> 26 [size =\"39208960\"]\n  11 -> 27 [size =\"39208960\"]\n  11 -> 28 [size =\"39208960\"]\n  11 -> 29 [size =\"39208960\"]\n  11 -> 30 [size =\"39208960\"]\n  12 [size=\"31578112\", alpha=\"0.02\", expect_size=\"15789056\"] \n  12 -> 21 [size =\"15789056\"]\n  12 -> 22 [size =\"15789056\"]\n  12 -> 23 [size =\"15789056\"]\n  12 -> 24 [size =\"15789056\"]\n  12 -> 25 [size =\"15789056\"]\n  12 -> 26 [size =\"15789056\"]\n  12 -> 27 [size =\"15789056\"]\n  12 -> 28 [size =\"15789056\"]\n  12 -> 30 [size =\"15789056\"]\n  13 [size=\"18937856\", alpha=\"0.19\", expect_size=\"9468928\"] \n  13 -> 21 [size =\"9468928\"]\n  13 -> 22 [size =\"9468928\"]\n  13 -> 23 [size =\"9468928\"]\n  13 -> 24 [size =\"9468928\"]\n  13 -> 28 [size =\"9468928\"]\n  13 -> 29 [size =\"9468928\"]\n  13 -> 30 [size =\"9468928\"]\n  14 [size=\"101967872\", alpha=\"0.14\", expect_size=\"50983936\"] \n  14 -> 18 [size =\"50983936\"]\n  14 -> 22 [size =\"50983936\"]\n  14 -> 23 [size =\"50983936\"]\n  14 -> 25 [size =\"50983936\"]\n  14 -> 26 [size =\"50983936\"]\n  14 -> 28 [size =\"50983936\"]\n  14 -> 29 [size =\"50983936\"]\n  15 [size=\"25131008\", alpha=\"0.16\", expect_size=\"12565504\"] \n  15 -> 18 [size =\"12565504\"]\n  15 -> 21 [size =\"12565504\"]\n  15 -> 22 [size =\"12565504\"]\n  15 -> 23 [size =\"12565504\"]\n  15 -> 24 [size =\"12565504\"]\n  15 -> 25 [size =\"12565504\"]\n  15 -> 26 [size =\"12565504\"]\n  15 -> 27 [size =\"12565504\"]\n  15 -> 28 [size =\"12565504\"]\n  15 -> 29 [size =\"12565504\"]\n  16 [size=\"65974272\", alpha=\"0.02\", expect_size=\"32987136\"] \n  16 -> 21 [size =\"32987136\"]\n  16 -> 23 [size =\"32987136\"]\n  16 -> 24 [size =\"32987136\"]\n  16 -> 26 [size =\"32987136\"]\n  16 -> 27 [size =\"32987136\"]\n  16 -> 29 [size =\"32987136\"]\n  16 -> 30 [size =\"32987136\"]\n  17 [size=\"85424128\", alpha=\"0.02\", expect_size=\"42712064\"] \n  17 -> 21 [size =\"42712064\"]\n  17 -> 23 [size =\"42712064\"]\n  17 -> 24 [size =\"42712064\"]\n  17 -> 26 [size =\"42712064\"]\n  17 -> 27 [size =\"42712064\"]\n  17 -> 28 [size =\"42712064\"]\n  17 -> 30 [size =\"42712064\"]\n  18 [size=\"64942080\", alpha=\"0.16\", expect_size=\"32471040\"] \n  19 [size=\"55629824\", alpha=\"0.17\", expect_size=\"27814912\"] \n  20 [size=\"41154560\", alpha=\"0.10\", expect_size=\"20577280\"] \n  21 [size=\"50266112\", alpha=\"0.09\", expect_size=\"25133056\"] \n  22 [size=\"82622464\", alpha=\"0.14\", expect_size=\"41311232\"] \n  23 [size=\"91942912\", alpha=\"0.03\", expect_size=\"45971456\"] \n  24 [size=\"89503744\", alpha=\"0.12\", expect_size=\"44751872\"] \n  25 [size=\"61396992\", alpha=\"0.04\", expect_size=\"30698496\"] \n  26 [size=\"40814592\", alpha=\"0.16\", expect_size=\"20407296\"] \n  27 [size=\"52346880\", alpha=\"0.11\", expect_size=\"26173440\"] \n  28 [size=\"62758912\", alpha=\"0.19\", expect_size=\"31379456\"] \n  29 [size=\"41973760\", alpha=\"0.03\", expect_size=\"20986880\"] \n  30 [size=\"28848128\", alpha=\"0.07\", expect_size=\"14424064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41827840\", alpha=\"0.07\", expect_size=\"16731136\"] \n  1 -> 2 [size =\"16731136\"]\n  1 -> 3 [size =\"16731136\"]\n  2 [size=\"85854720\", alpha=\"0.09\", expect_size=\"34341888\"] \n  2 -> 4 [size =\"34341888\"]\n  3 [size=\"31124480\", alpha=\"0.14\", expect_size=\"12449792\"] \n  3 -> 4 [size =\"12449792\"]\n  4 [size=\"13224960\", alpha=\"0.03\", expect_size=\"5289984\"] \n  4 -> 5 [size =\"5289984\"]\n  4 -> 6 [size =\"5289984\"]\n  5 [size=\"62174720\", alpha=\"0.14\", expect_size=\"24869888\"] \n  5 -> 7 [size =\"24869888\"]\n  5 -> 8 [size =\"24869888\"]\n  6 [size=\"109985280\", alpha=\"0.12\", expect_size=\"43994112\"] \n  6 -> 8 [size =\"43994112\"]\n  7 [size=\"82222080\", alpha=\"0.11\", expect_size=\"32888832\"] \n  7 -> 9 [size =\"32888832\"]\n  7 -> 10 [size =\"32888832\"]\n  8 [size=\"115386880\", alpha=\"0.09\", expect_size=\"46154752\"] \n  8 -> 9 [size =\"46154752\"]\n  8 -> 10 [size =\"46154752\"]\n  9 [size=\"44797440\", alpha=\"0.15\", expect_size=\"17918976\"] \n  9 -> 11 [size =\"17918976\"]\n  9 -> 12 [size =\"17918976\"]\n  10 [size=\"116554240\", alpha=\"0.11\", expect_size=\"46621696\"] \n  10 -> 11 [size =\"46621696\"]\n  10 -> 12 [size =\"46621696\"]\n  11 [size=\"59950080\", alpha=\"0.12\", expect_size=\"23980032\"] \n  11 -> 13 [size =\"23980032\"]\n  11 -> 14 [size =\"23980032\"]\n  12 [size=\"99340800\", alpha=\"0.16\", expect_size=\"39736320\"] \n  12 -> 13 [size =\"39736320\"]\n  12 -> 14 [size =\"39736320\"]\n  13 [size=\"33121280\", alpha=\"0.04\", expect_size=\"13248512\"] \n  13 -> 15 [size =\"13248512\"]\n  14 [size=\"118640640\", alpha=\"0.05\", expect_size=\"47456256\"] \n  14 -> 15 [size =\"47456256\"]\n  15 [size=\"17105920\", alpha=\"0.16\", expect_size=\"6842368\"] \n  15 -> 16 [size =\"6842368\"]\n  16 [size=\"100487680\", alpha=\"0.04\", expect_size=\"40195072\"] \n  16 -> 17 [size =\"40195072\"]\n  16 -> 18 [size =\"40195072\"]\n  17 [size=\"51479040\", alpha=\"0.12\", expect_size=\"20591616\"] \n  17 -> 19 [size =\"20591616\"]\n  18 [size=\"116101120\", alpha=\"0.02\", expect_size=\"46440448\"] \n  18 -> 19 [size =\"46440448\"]\n  19 [size=\"51824640\", alpha=\"0.02\", expect_size=\"20729856\"] \n  19 -> 20 [size =\"20729856\"]\n  19 -> 21 [size =\"20729856\"]\n  20 [size=\"22894080\", alpha=\"0.12\", expect_size=\"9157632\"] \n  20 -> 22 [size =\"9157632\"]\n  21 [size=\"89323520\", alpha=\"0.07\", expect_size=\"35729408\"] \n  22 [size=\"43059200\", alpha=\"0.15\", expect_size=\"17223680\"] \n  22 -> 23 [size =\"17223680\"]\n  22 -> 24 [size =\"17223680\"]\n  23 [size=\"21163520\", alpha=\"0.05\", expect_size=\"8465408\"] \n  23 -> 25 [size =\"8465408\"]\n  23 -> 26 [size =\"8465408\"]\n  24 [size=\"44290560\", alpha=\"0.16\", expect_size=\"17716224\"] \n  24 -> 25 [size =\"17716224\"]\n  24 -> 26 [size =\"17716224\"]\n  25 [size=\"74252800\", alpha=\"0.15\", expect_size=\"29701120\"] \n  25 -> 27 [size =\"29701120\"]\n  25 -> 28 [size =\"29701120\"]\n  26 [size=\"48775680\", alpha=\"0.10\", expect_size=\"19510272\"] \n  26 -> 28 [size =\"19510272\"]\n  27 [size=\"73210880\", alpha=\"0.18\", expect_size=\"29284352\"] \n  27 -> 29 [size =\"29284352\"]\n  27 -> 30 [size =\"29284352\"]\n  28 [size=\"27921920\", alpha=\"0.02\", expect_size=\"11168768\"] \n  28 -> 29 [size =\"11168768\"]\n  28 -> 30 [size =\"11168768\"]\n  29 [size=\"37281280\", alpha=\"0.12\", expect_size=\"14912512\"] \n  30 [size=\"47275520\", alpha=\"0.19\", expect_size=\"18910208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21869227\", alpha=\"0.16\", expect_size=\"6560768\"] \n  2 [size=\"100000427\", alpha=\"0.16\", expect_size=\"30000128\"] \n  2 -> 3 [size =\"30000128\"]\n  2 -> 4 [size =\"30000128\"]\n  3 [size=\"68085760\", alpha=\"0.16\", expect_size=\"20425728\"] \n  4 [size=\"102754987\", alpha=\"0.07\", expect_size=\"30826496\"] \n  4 -> 5 [size =\"30826496\"]\n  4 -> 6 [size =\"30826496\"]\n  5 [size=\"71198720\", alpha=\"0.04\", expect_size=\"21359616\"] \n  5 -> 7 [size =\"21359616\"]\n  5 -> 8 [size =\"21359616\"]\n  6 [size=\"98092373\", alpha=\"0.05\", expect_size=\"29427712\"] \n  7 [size=\"72564053\", alpha=\"0.01\", expect_size=\"21769216\"] \n  7 -> 9 [size =\"21769216\"]\n  8 [size=\"139083093\", alpha=\"0.15\", expect_size=\"41724928\"] \n  9 [size=\"50937173\", alpha=\"0.03\", expect_size=\"15281152\"] \n  9 -> 10 [size =\"15281152\"]\n  9 -> 11 [size =\"15281152\"]\n  10 [size=\"24941227\", alpha=\"0.19\", expect_size=\"7482368\"] \n  11 [size=\"26197333\", alpha=\"0.09\", expect_size=\"7859200\"] \n  11 -> 12 [size =\"7859200\"]\n  12 [size=\"150190080\", alpha=\"0.05\", expect_size=\"45057024\"] \n  12 -> 13 [size =\"45057024\"]\n  12 -> 14 [size =\"45057024\"]\n  13 [size=\"116763307\", alpha=\"0.06\", expect_size=\"35028992\"] \n  13 -> 15 [size =\"35028992\"]\n  14 [size=\"84807680\", alpha=\"0.10\", expect_size=\"25442304\"] \n  15 [size=\"137680213\", alpha=\"0.11\", expect_size=\"41304064\"] \n  15 -> 16 [size =\"41304064\"]\n  15 -> 17 [size =\"41304064\"]\n  16 [size=\"165990400\", alpha=\"0.10\", expect_size=\"49797120\"] \n  17 [size=\"46062933\", alpha=\"0.12\", expect_size=\"13818880\"] \n  17 -> 18 [size =\"13818880\"]\n  18 [size=\"51121493\", alpha=\"0.02\", expect_size=\"15336448\"] \n  18 -> 19 [size =\"15336448\"]\n  19 [size=\"170970453\", alpha=\"0.13\", expect_size=\"51291136\"] \n  19 -> 20 [size =\"51291136\"]\n  19 -> 21 [size =\"51291136\"]\n  20 [size=\"34816000\", alpha=\"0.11\", expect_size=\"10444800\"] \n  21 [size=\"24521387\", alpha=\"0.08\", expect_size=\"7356416\"] \n  21 -> 22 [size =\"7356416\"]\n  22 [size=\"93221547\", alpha=\"0.17\", expect_size=\"27966464\"] \n  22 -> 23 [size =\"27966464\"]\n  23 [size=\"131925333\", alpha=\"0.11\", expect_size=\"39577600\"] \n  23 -> 24 [size =\"39577600\"]\n  24 [size=\"21101227\", alpha=\"0.17\", expect_size=\"6330368\"] \n  24 -> 25 [size =\"6330368\"]\n  24 -> 26 [size =\"6330368\"]\n  25 [size=\"101963093\", alpha=\"0.09\", expect_size=\"30588928\"] \n  26 [size=\"29231787\", alpha=\"0.12\", expect_size=\"8769536\"] \n  26 -> 27 [size =\"8769536\"]\n  27 [size=\"104437760\", alpha=\"0.01\", expect_size=\"31331328\"] \n  27 -> 28 [size =\"31331328\"]\n  27 -> 29 [size =\"31331328\"]\n  28 [size=\"42233173\", alpha=\"0.06\", expect_size=\"12669952\"] \n  29 [size=\"58624000\", alpha=\"0.16\", expect_size=\"17587200\"] \n  29 -> 30 [size =\"17587200\"]\n  30 [size=\"164096000\", alpha=\"0.06\", expect_size=\"49228800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38361600\", alpha=\"0.10\", expect_size=\"15344640\"] \n  1 -> 24 [size =\"15344640\"]\n  2 [size=\"22699520\", alpha=\"0.15\", expect_size=\"9079808\"] \n  2 -> 24 [size =\"9079808\"]\n  2 -> 27 [size =\"9079808\"]\n  2 -> 29 [size =\"9079808\"]\n  3 [size=\"25433600\", alpha=\"0.19\", expect_size=\"10173440\"] \n  3 -> 24 [size =\"10173440\"]\n  3 -> 26 [size =\"10173440\"]\n  3 -> 29 [size =\"10173440\"]\n  4 [size=\"114772480\", alpha=\"0.12\", expect_size=\"45908992\"] \n  4 -> 24 [size =\"45908992\"]\n  4 -> 29 [size =\"45908992\"]\n  4 -> 29 [size =\"45908992\"]\n  4 -> 30 [size =\"45908992\"]\n  5 [size=\"18414080\", alpha=\"0.08\", expect_size=\"7365632\"] \n  5 -> 24 [size =\"7365632\"]\n  5 -> 25 [size =\"7365632\"]\n  5 -> 27 [size =\"7365632\"]\n  5 -> 29 [size =\"7365632\"]\n  6 [size=\"82787840\", alpha=\"0.10\", expect_size=\"33115136\"] \n  6 -> 24 [size =\"33115136\"]\n  6 -> 25 [size =\"33115136\"]\n  6 -> 26 [size =\"33115136\"]\n  6 -> 30 [size =\"33115136\"]\n  7 [size=\"42659840\", alpha=\"0.18\", expect_size=\"17063936\"] \n  7 -> 24 [size =\"17063936\"]\n  7 -> 30 [size =\"17063936\"]\n  8 [size=\"89177600\", alpha=\"0.15\", expect_size=\"35671040\"] \n  8 -> 24 [size =\"35671040\"]\n  8 -> 30 [size =\"35671040\"]\n  9 [size=\"67307520\", alpha=\"0.12\", expect_size=\"26923008\"] \n  9 -> 26 [size =\"26923008\"]\n  9 -> 30 [size =\"26923008\"]\n  10 [size=\"71380480\", alpha=\"0.04\", expect_size=\"28552192\"] \n  11 [size=\"76200960\", alpha=\"0.00\", expect_size=\"30480384\"] \n  11 -> 28 [size =\"30480384\"]\n  12 [size=\"14356480\", alpha=\"0.13\", expect_size=\"5742592\"] \n  12 -> 25 [size =\"5742592\"]\n  12 -> 26 [size =\"5742592\"]\n  12 -> 29 [size =\"5742592\"]\n  12 -> 30 [size =\"5742592\"]\n  13 [size=\"99993600\", alpha=\"0.14\", expect_size=\"39997440\"] \n  13 -> 29 [size =\"39997440\"]\n  14 [size=\"94696960\", alpha=\"0.03\", expect_size=\"37878784\"] \n  14 -> 24 [size =\"37878784\"]\n  14 -> 25 [size =\"37878784\"]\n  14 -> 29 [size =\"37878784\"]\n  15 [size=\"47434240\", alpha=\"0.08\", expect_size=\"18973696\"] \n  15 -> 29 [size =\"18973696\"]\n  16 [size=\"92825600\", alpha=\"0.05\", expect_size=\"37130240\"] \n  16 -> 24 [size =\"37130240\"]\n  16 -> 29 [size =\"37130240\"]\n  17 [size=\"33807360\", alpha=\"0.04\", expect_size=\"13522944\"] \n  17 -> 24 [size =\"13522944\"]\n  17 -> 25 [size =\"13522944\"]\n  17 -> 29 [size =\"13522944\"]\n  18 [size=\"22484480\", alpha=\"0.04\", expect_size=\"8993792\"] \n  18 -> 26 [size =\"8993792\"]\n  18 -> 28 [size =\"8993792\"]\n  18 -> 29 [size =\"8993792\"]\n  19 [size=\"109050880\", alpha=\"0.07\", expect_size=\"43620352\"] \n  19 -> 26 [size =\"43620352\"]\n  20 [size=\"60003840\", alpha=\"0.08\", expect_size=\"24001536\"] \n  20 -> 25 [size =\"24001536\"]\n  20 -> 26 [size =\"24001536\"]\n  20 -> 29 [size =\"24001536\"]\n  20 -> 30 [size =\"24001536\"]\n  21 [size=\"83607040\", alpha=\"0.14\", expect_size=\"33442816\"] \n  21 -> 24 [size =\"33442816\"]\n  22 [size=\"84305920\", alpha=\"0.01\", expect_size=\"33722368\"] \n  22 -> 24 [size =\"33722368\"]\n  22 -> 29 [size =\"33722368\"]\n  22 -> 30 [size =\"33722368\"]\n  23 [size=\"42821120\", alpha=\"0.11\", expect_size=\"17128448\"] \n  23 -> 24 [size =\"17128448\"]\n  23 -> 25 [size =\"17128448\"]\n  24 [size=\"125294080\", alpha=\"0.18\", expect_size=\"50117632\"] \n  25 [size=\"23293440\", alpha=\"0.05\", expect_size=\"9317376\"] \n  26 [size=\"69240320\", alpha=\"0.05\", expect_size=\"27696128\"] \n  27 [size=\"101419520\", alpha=\"0.09\", expect_size=\"40567808\"] \n  28 [size=\"124052480\", alpha=\"0.06\", expect_size=\"49620992\"] \n  29 [size=\"29086720\", alpha=\"0.13\", expect_size=\"11634688\"] \n  30 [size=\"68812800\", alpha=\"0.09\", expect_size=\"27525120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55371093\", alpha=\"0.04\", expect_size=\"16611328\"] \n  1 -> 10 [size =\"16611328\"]\n  1 -> 11 [size =\"16611328\"]\n  2 [size=\"106424320\", alpha=\"0.10\", expect_size=\"31927296\"] \n  2 -> 10 [size =\"31927296\"]\n  2 -> 12 [size =\"31927296\"]\n  3 [size=\"41390080\", alpha=\"0.19\", expect_size=\"12417024\"] \n  3 -> 12 [size =\"12417024\"]\n  4 [size=\"25395200\", alpha=\"0.17\", expect_size=\"7618560\"] \n  4 -> 12 [size =\"7618560\"]\n  5 [size=\"42028373\", alpha=\"0.08\", expect_size=\"12608512\"] \n  5 -> 10 [size =\"12608512\"]\n  5 -> 12 [size =\"12608512\"]\n  5 -> 13 [size =\"12608512\"]\n  6 [size=\"173161813\", alpha=\"0.03\", expect_size=\"51948544\"] \n  6 -> 10 [size =\"51948544\"]\n  6 -> 12 [size =\"51948544\"]\n  7 [size=\"84387840\", alpha=\"0.03\", expect_size=\"25316352\"] \n  7 -> 8 [size =\"25316352\"]\n  7 -> 9 [size =\"25316352\"]\n  7 -> 10 [size =\"25316352\"]\n  8 [size=\"37826560\", alpha=\"0.08\", expect_size=\"11347968\"] \n  8 -> 16 [size =\"11347968\"]\n  8 -> 18 [size =\"11347968\"]\n  8 -> 20 [size =\"11347968\"]\n  9 [size=\"58637653\", alpha=\"0.07\", expect_size=\"17591296\"] \n  9 -> 15 [size =\"17591296\"]\n  9 -> 18 [size =\"17591296\"]\n  10 [size=\"95481173\", alpha=\"0.11\", expect_size=\"28644352\"] \n  10 -> 19 [size =\"28644352\"]\n  11 [size=\"49360213\", alpha=\"0.18\", expect_size=\"14808064\"] \n  11 -> 14 [size =\"14808064\"]\n  11 -> 15 [size =\"14808064\"]\n  11 -> 16 [size =\"14808064\"]\n  12 [size=\"79206400\", alpha=\"0.13\", expect_size=\"23761920\"] \n  12 -> 14 [size =\"23761920\"]\n  12 -> 16 [size =\"23761920\"]\n  12 -> 20 [size =\"23761920\"]\n  13 [size=\"157300053\", alpha=\"0.09\", expect_size=\"47190016\"] \n  13 -> 14 [size =\"47190016\"]\n  13 -> 16 [size =\"47190016\"]\n  13 -> 17 [size =\"47190016\"]\n  13 -> 20 [size =\"47190016\"]\n  14 [size=\"151988907\", alpha=\"0.17\", expect_size=\"45596672\"] \n  14 -> 23 [size =\"45596672\"]\n  14 -> 27 [size =\"45596672\"]\n  14 -> 30 [size =\"45596672\"]\n  15 [size=\"130048000\", alpha=\"0.17\", expect_size=\"39014400\"] \n  15 -> 22 [size =\"39014400\"]\n  15 -> 25 [size =\"39014400\"]\n  15 -> 26 [size =\"39014400\"]\n  15 -> 29 [size =\"39014400\"]\n  15 -> 30 [size =\"39014400\"]\n  16 [size=\"33658880\", alpha=\"0.13\", expect_size=\"10097664\"] \n  16 -> 22 [size =\"10097664\"]\n  16 -> 26 [size =\"10097664\"]\n  16 -> 27 [size =\"10097664\"]\n  16 -> 28 [size =\"10097664\"]\n  17 [size=\"59531947\", alpha=\"0.03\", expect_size=\"17859584\"] \n  17 -> 25 [size =\"17859584\"]\n  17 -> 27 [size =\"17859584\"]\n  18 [size=\"86821547\", alpha=\"0.15\", expect_size=\"26046464\"] \n  18 -> 21 [size =\"26046464\"]\n  18 -> 22 [size =\"26046464\"]\n  18 -> 23 [size =\"26046464\"]\n  18 -> 24 [size =\"26046464\"]\n  18 -> 26 [size =\"26046464\"]\n  18 -> 27 [size =\"26046464\"]\n  19 [size=\"149292373\", alpha=\"0.12\", expect_size=\"44787712\"] \n  19 -> 23 [size =\"44787712\"]\n  19 -> 24 [size =\"44787712\"]\n  19 -> 26 [size =\"44787712\"]\n  20 [size=\"43496107\", alpha=\"0.11\", expect_size=\"13048832\"] \n  20 -> 21 [size =\"13048832\"]\n  20 -> 23 [size =\"13048832\"]\n  20 -> 25 [size =\"13048832\"]\n  20 -> 27 [size =\"13048832\"]\n  20 -> 28 [size =\"13048832\"]\n  21 [size=\"132198400\", alpha=\"0.16\", expect_size=\"39659520\"] \n  22 [size=\"112626347\", alpha=\"0.11\", expect_size=\"33787904\"] \n  23 [size=\"57671680\", alpha=\"0.10\", expect_size=\"17301504\"] \n  24 [size=\"129819307\", alpha=\"0.10\", expect_size=\"38945792\"] \n  25 [size=\"105816747\", alpha=\"0.13\", expect_size=\"31745024\"] \n  26 [size=\"83933867\", alpha=\"0.15\", expect_size=\"25180160\"] \n  27 [size=\"32781653\", alpha=\"0.06\", expect_size=\"9834496\"] \n  28 [size=\"57118720\", alpha=\"0.00\", expect_size=\"17135616\"] \n  29 [size=\"18862080\", alpha=\"0.19\", expect_size=\"5658624\"] \n  30 [size=\"110144853\", alpha=\"0.08\", expect_size=\"33043456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154320213\", alpha=\"0.04\", expect_size=\"46296064\"] \n  1 -> 7 [size =\"46296064\"]\n  1 -> 8 [size =\"46296064\"]\n  1 -> 9 [size =\"46296064\"]\n  1 -> 10 [size =\"46296064\"]\n  1 -> 12 [size =\"46296064\"]\n  2 [size=\"131809280\", alpha=\"0.14\", expect_size=\"39542784\"] \n  2 -> 7 [size =\"39542784\"]\n  2 -> 8 [size =\"39542784\"]\n  2 -> 9 [size =\"39542784\"]\n  2 -> 10 [size =\"39542784\"]\n  2 -> 11 [size =\"39542784\"]\n  3 [size=\"134987093\", alpha=\"0.01\", expect_size=\"40496128\"] \n  3 -> 7 [size =\"40496128\"]\n  3 -> 8 [size =\"40496128\"]\n  3 -> 9 [size =\"40496128\"]\n  3 -> 11 [size =\"40496128\"]\n  3 -> 12 [size =\"40496128\"]\n  4 [size=\"124979200\", alpha=\"0.13\", expect_size=\"37493760\"] \n  4 -> 7 [size =\"37493760\"]\n  4 -> 9 [size =\"37493760\"]\n  4 -> 12 [size =\"37493760\"]\n  5 [size=\"61832533\", alpha=\"0.08\", expect_size=\"18549760\"] \n  5 -> 8 [size =\"18549760\"]\n  5 -> 9 [size =\"18549760\"]\n  6 [size=\"102782293\", alpha=\"0.08\", expect_size=\"30834688\"] \n  6 -> 7 [size =\"30834688\"]\n  6 -> 8 [size =\"30834688\"]\n  6 -> 10 [size =\"30834688\"]\n  6 -> 12 [size =\"30834688\"]\n  7 [size=\"92996267\", alpha=\"0.08\", expect_size=\"27898880\"] \n  7 -> 13 [size =\"27898880\"]\n  7 -> 14 [size =\"27898880\"]\n  8 [size=\"104632320\", alpha=\"0.03\", expect_size=\"31389696\"] \n  8 -> 13 [size =\"31389696\"]\n  9 [size=\"69601280\", alpha=\"0.00\", expect_size=\"20880384\"] \n  9 -> 13 [size =\"20880384\"]\n  10 [size=\"120569173\", alpha=\"0.17\", expect_size=\"36170752\"] \n  10 -> 13 [size =\"36170752\"]\n  10 -> 16 [size =\"36170752\"]\n  11 [size=\"46387200\", alpha=\"0.14\", expect_size=\"13916160\"] \n  11 -> 14 [size =\"13916160\"]\n  11 -> 15 [size =\"13916160\"]\n  12 [size=\"81268053\", alpha=\"0.13\", expect_size=\"24380416\"] \n  12 -> 14 [size =\"24380416\"]\n  13 [size=\"32969387\", alpha=\"0.07\", expect_size=\"9890816\"] \n  13 -> 17 [size =\"9890816\"]\n  13 -> 19 [size =\"9890816\"]\n  13 -> 20 [size =\"9890816\"]\n  14 [size=\"38731093\", alpha=\"0.12\", expect_size=\"11619328\"] \n  14 -> 19 [size =\"11619328\"]\n  14 -> 20 [size =\"11619328\"]\n  15 [size=\"137659733\", alpha=\"0.09\", expect_size=\"41297920\"] \n  15 -> 19 [size =\"41297920\"]\n  15 -> 20 [size =\"41297920\"]\n  16 [size=\"44308480\", alpha=\"0.15\", expect_size=\"13292544\"] \n  16 -> 17 [size =\"13292544\"]\n  16 -> 18 [size =\"13292544\"]\n  16 -> 20 [size =\"13292544\"]\n  17 [size=\"107236693\", alpha=\"0.10\", expect_size=\"32171008\"] \n  17 -> 21 [size =\"32171008\"]\n  17 -> 23 [size =\"32171008\"]\n  17 -> 24 [size =\"32171008\"]\n  17 -> 26 [size =\"32171008\"]\n  18 [size=\"169212587\", alpha=\"0.15\", expect_size=\"50763776\"] \n  18 -> 21 [size =\"50763776\"]\n  18 -> 22 [size =\"50763776\"]\n  18 -> 23 [size =\"50763776\"]\n  18 -> 26 [size =\"50763776\"]\n  19 [size=\"33805653\", alpha=\"0.18\", expect_size=\"10141696\"] \n  19 -> 22 [size =\"10141696\"]\n  19 -> 23 [size =\"10141696\"]\n  19 -> 26 [size =\"10141696\"]\n  20 [size=\"35205120\", alpha=\"0.09\", expect_size=\"10561536\"] \n  20 -> 21 [size =\"10561536\"]\n  20 -> 22 [size =\"10561536\"]\n  20 -> 23 [size =\"10561536\"]\n  20 -> 25 [size =\"10561536\"]\n  21 [size=\"169840640\", alpha=\"0.18\", expect_size=\"50952192\"] \n  21 -> 29 [size =\"50952192\"]\n  22 [size=\"118876160\", alpha=\"0.01\", expect_size=\"35662848\"] \n  22 -> 29 [size =\"35662848\"]\n  23 [size=\"64580267\", alpha=\"0.20\", expect_size=\"19374080\"] \n  23 -> 27 [size =\"19374080\"]\n  23 -> 28 [size =\"19374080\"]\n  23 -> 29 [size =\"19374080\"]\n  24 [size=\"121746773\", alpha=\"0.12\", expect_size=\"36524032\"] \n  24 -> 27 [size =\"36524032\"]\n  24 -> 28 [size =\"36524032\"]\n  24 -> 29 [size =\"36524032\"]\n  25 [size=\"61750613\", alpha=\"0.09\", expect_size=\"18525184\"] \n  25 -> 27 [size =\"18525184\"]\n  25 -> 29 [size =\"18525184\"]\n  25 -> 30 [size =\"18525184\"]\n  26 [size=\"132621653\", alpha=\"0.18\", expect_size=\"39786496\"] \n  26 -> 27 [size =\"39786496\"]\n  26 -> 28 [size =\"39786496\"]\n  27 [size=\"96583680\", alpha=\"0.16\", expect_size=\"28975104\"] \n  28 [size=\"171520000\", alpha=\"0.05\", expect_size=\"51456000\"] \n  29 [size=\"134062080\", alpha=\"0.01\", expect_size=\"40218624\"] \n  30 [size=\"115746133\", alpha=\"0.10\", expect_size=\"34723840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163741013\", alpha=\"0.04\", expect_size=\"49122304\"] \n  1 -> 16 [size =\"49122304\"]\n  1 -> 17 [size =\"49122304\"]\n  1 -> 18 [size =\"49122304\"]\n  1 -> 21 [size =\"49122304\"]\n  1 -> 23 [size =\"49122304\"]\n  1 -> 24 [size =\"49122304\"]\n  1 -> 25 [size =\"49122304\"]\n  1 -> 26 [size =\"49122304\"]\n  1 -> 27 [size =\"49122304\"]\n  1 -> 30 [size =\"49122304\"]\n  2 [size=\"91531947\", alpha=\"0.18\", expect_size=\"27459584\"] \n  2 -> 16 [size =\"27459584\"]\n  2 -> 22 [size =\"27459584\"]\n  2 -> 25 [size =\"27459584\"]\n  2 -> 26 [size =\"27459584\"]\n  2 -> 27 [size =\"27459584\"]\n  2 -> 29 [size =\"27459584\"]\n  3 [size=\"69993813\", alpha=\"0.10\", expect_size=\"20998144\"] \n  3 -> 16 [size =\"20998144\"]\n  3 -> 18 [size =\"20998144\"]\n  3 -> 23 [size =\"20998144\"]\n  3 -> 24 [size =\"20998144\"]\n  3 -> 25 [size =\"20998144\"]\n  3 -> 26 [size =\"20998144\"]\n  3 -> 27 [size =\"20998144\"]\n  3 -> 29 [size =\"20998144\"]\n  4 [size=\"99003733\", alpha=\"0.06\", expect_size=\"29701120\"] \n  4 -> 16 [size =\"29701120\"]\n  4 -> 17 [size =\"29701120\"]\n  4 -> 18 [size =\"29701120\"]\n  4 -> 19 [size =\"29701120\"]\n  4 -> 20 [size =\"29701120\"]\n  4 -> 24 [size =\"29701120\"]\n  4 -> 25 [size =\"29701120\"]\n  4 -> 28 [size =\"29701120\"]\n  4 -> 29 [size =\"29701120\"]\n  5 [size=\"20944213\", alpha=\"0.02\", expect_size=\"6283264\"] \n  5 -> 18 [size =\"6283264\"]\n  5 -> 19 [size =\"6283264\"]\n  5 -> 24 [size =\"6283264\"]\n  5 -> 25 [size =\"6283264\"]\n  5 -> 26 [size =\"6283264\"]\n  5 -> 28 [size =\"6283264\"]\n  5 -> 30 [size =\"6283264\"]\n  6 [size=\"42717867\", alpha=\"0.03\", expect_size=\"12815360\"] \n  6 -> 16 [size =\"12815360\"]\n  6 -> 18 [size =\"12815360\"]\n  6 -> 19 [size =\"12815360\"]\n  6 -> 24 [size =\"12815360\"]\n  6 -> 25 [size =\"12815360\"]\n  6 -> 27 [size =\"12815360\"]\n  6 -> 28 [size =\"12815360\"]\n  6 -> 30 [size =\"12815360\"]\n  7 [size=\"104799573\", alpha=\"0.15\", expect_size=\"31439872\"] \n  7 -> 17 [size =\"31439872\"]\n  7 -> 19 [size =\"31439872\"]\n  7 -> 19 [size =\"31439872\"]\n  7 -> 23 [size =\"31439872\"]\n  7 -> 24 [size =\"31439872\"]\n  7 -> 27 [size =\"31439872\"]\n  8 [size=\"40680107\", alpha=\"0.13\", expect_size=\"12204032\"] \n  8 -> 18 [size =\"12204032\"]\n  8 -> 19 [size =\"12204032\"]\n  8 -> 24 [size =\"12204032\"]\n  8 -> 27 [size =\"12204032\"]\n  9 [size=\"146493440\", alpha=\"0.20\", expect_size=\"43948032\"] \n  9 -> 22 [size =\"43948032\"]\n  9 -> 24 [size =\"43948032\"]\n  9 -> 25 [size =\"43948032\"]\n  9 -> 27 [size =\"43948032\"]\n  9 -> 29 [size =\"43948032\"]\n  10 [size=\"139427840\", alpha=\"0.01\", expect_size=\"41828352\"] \n  10 -> 17 [size =\"41828352\"]\n  10 -> 24 [size =\"41828352\"]\n  10 -> 27 [size =\"41828352\"]\n  11 [size=\"91962027\", alpha=\"0.13\", expect_size=\"27588608\"] \n  11 -> 16 [size =\"27588608\"]\n  11 -> 17 [size =\"27588608\"]\n  11 -> 25 [size =\"27588608\"]\n  11 -> 28 [size =\"27588608\"]\n  12 [size=\"126235307\", alpha=\"0.04\", expect_size=\"37870592\"] \n  12 -> 17 [size =\"37870592\"]\n  12 -> 17 [size =\"37870592\"]\n  12 -> 18 [size =\"37870592\"]\n  12 -> 23 [size =\"37870592\"]\n  12 -> 25 [size =\"37870592\"]\n  13 [size=\"112602453\", alpha=\"0.12\", expect_size=\"33780736\"] \n  13 -> 16 [size =\"33780736\"]\n  13 -> 19 [size =\"33780736\"]\n  13 -> 23 [size =\"33780736\"]\n  14 [size=\"34218667\", alpha=\"0.13\", expect_size=\"10265600\"] \n  14 -> 17 [size =\"10265600\"]\n  14 -> 19 [size =\"10265600\"]\n  14 -> 22 [size =\"10265600\"]\n  14 -> 27 [size =\"10265600\"]\n  14 -> 29 [size =\"10265600\"]\n  14 -> 30 [size =\"10265600\"]\n  15 [size=\"84056747\", alpha=\"0.15\", expect_size=\"25217024\"] \n  15 -> 17 [size =\"25217024\"]\n  15 -> 19 [size =\"25217024\"]\n  15 -> 21 [size =\"25217024\"]\n  15 -> 23 [size =\"25217024\"]\n  15 -> 24 [size =\"25217024\"]\n  15 -> 25 [size =\"25217024\"]\n  15 -> 27 [size =\"25217024\"]\n  15 -> 30 [size =\"25217024\"]\n  16 [size=\"103519573\", alpha=\"0.19\", expect_size=\"31055872\"] \n  17 [size=\"129013760\", alpha=\"0.12\", expect_size=\"38704128\"] \n  18 [size=\"87063893\", alpha=\"0.01\", expect_size=\"26119168\"] \n  19 [size=\"35577173\", alpha=\"0.10\", expect_size=\"10673152\"] \n  20 [size=\"32457387\", alpha=\"0.01\", expect_size=\"9737216\"] \n  21 [size=\"37877760\", alpha=\"0.11\", expect_size=\"11363328\"] \n  22 [size=\"136434347\", alpha=\"0.10\", expect_size=\"40930304\"] \n  23 [size=\"171048960\", alpha=\"0.16\", expect_size=\"51314688\"] \n  24 [size=\"110946987\", alpha=\"0.13\", expect_size=\"33284096\"] \n  25 [size=\"58920960\", alpha=\"0.10\", expect_size=\"17676288\"] \n  26 [size=\"23330133\", alpha=\"0.10\", expect_size=\"6999040\"] \n  27 [size=\"171827200\", alpha=\"0.01\", expect_size=\"51548160\"] \n  28 [size=\"108462080\", alpha=\"0.15\", expect_size=\"32538624\"] \n  29 [size=\"114585600\", alpha=\"0.05\", expect_size=\"34375680\"] \n  30 [size=\"33884160\", alpha=\"0.11\", expect_size=\"10165248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63982933\", alpha=\"0.09\", expect_size=\"19194880\"] \n  1 -> 2 [size =\"19194880\"]\n  2 [size=\"148060160\", alpha=\"0.00\", expect_size=\"44418048\"] \n  2 -> 3 [size =\"44418048\"]\n  3 [size=\"55541760\", alpha=\"0.00\", expect_size=\"16662528\"] \n  3 -> 4 [size =\"16662528\"]\n  4 [size=\"125402453\", alpha=\"0.01\", expect_size=\"37620736\"] \n  4 -> 5 [size =\"37620736\"]\n  5 [size=\"21811200\", alpha=\"0.09\", expect_size=\"6543360\"] \n  5 -> 6 [size =\"6543360\"]\n  6 [size=\"101178027\", alpha=\"0.09\", expect_size=\"30353408\"] \n  6 -> 7 [size =\"30353408\"]\n  7 [size=\"52172800\", alpha=\"0.19\", expect_size=\"15651840\"] \n  7 -> 8 [size =\"15651840\"]\n  8 [size=\"83548160\", alpha=\"0.12\", expect_size=\"25064448\"] \n  8 -> 9 [size =\"25064448\"]\n  9 [size=\"144817493\", alpha=\"0.04\", expect_size=\"43445248\"] \n  9 -> 10 [size =\"43445248\"]\n  10 [size=\"25262080\", alpha=\"0.08\", expect_size=\"7578624\"] \n  10 -> 11 [size =\"7578624\"]\n  11 [size=\"167369387\", alpha=\"0.06\", expect_size=\"50210816\"] \n  11 -> 12 [size =\"50210816\"]\n  12 [size=\"77462187\", alpha=\"0.20\", expect_size=\"23238656\"] \n  12 -> 13 [size =\"23238656\"]\n  13 [size=\"79817387\", alpha=\"0.19\", expect_size=\"23945216\"] \n  13 -> 14 [size =\"23945216\"]\n  14 [size=\"82824533\", alpha=\"0.10\", expect_size=\"24847360\"] \n  14 -> 15 [size =\"24847360\"]\n  15 [size=\"89214293\", alpha=\"0.19\", expect_size=\"26764288\"] \n  15 -> 16 [size =\"26764288\"]\n  16 [size=\"161908053\", alpha=\"0.07\", expect_size=\"48572416\"] \n  16 -> 17 [size =\"48572416\"]\n  17 [size=\"75461973\", alpha=\"0.17\", expect_size=\"22638592\"] \n  17 -> 18 [size =\"22638592\"]\n  18 [size=\"65655467\", alpha=\"0.12\", expect_size=\"19696640\"] \n  18 -> 19 [size =\"19696640\"]\n  19 [size=\"156603733\", alpha=\"0.15\", expect_size=\"46981120\"] \n  19 -> 20 [size =\"46981120\"]\n  20 [size=\"32549547\", alpha=\"0.04\", expect_size=\"9764864\"] \n  20 -> 21 [size =\"9764864\"]\n  21 [size=\"92064427\", alpha=\"0.20\", expect_size=\"27619328\"] \n  21 -> 22 [size =\"27619328\"]\n  22 [size=\"141841067\", alpha=\"0.12\", expect_size=\"42552320\"] \n  22 -> 23 [size =\"42552320\"]\n  23 [size=\"139748693\", alpha=\"0.09\", expect_size=\"41924608\"] \n  23 -> 24 [size =\"41924608\"]\n  24 [size=\"135365973\", alpha=\"0.19\", expect_size=\"40609792\"] \n  24 -> 25 [size =\"40609792\"]\n  25 [size=\"60521813\", alpha=\"0.10\", expect_size=\"18156544\"] \n  25 -> 26 [size =\"18156544\"]\n  26 [size=\"49414827\", alpha=\"0.12\", expect_size=\"14824448\"] \n  26 -> 27 [size =\"14824448\"]\n  27 [size=\"105615360\", alpha=\"0.19\", expect_size=\"31684608\"] \n  27 -> 28 [size =\"31684608\"]\n  28 [size=\"80568320\", alpha=\"0.13\", expect_size=\"24170496\"] \n  28 -> 29 [size =\"24170496\"]\n  29 [size=\"172431360\", alpha=\"0.04\", expect_size=\"51729408\"] \n  29 -> 30 [size =\"51729408\"]\n  30 [size=\"129378987\", alpha=\"0.16\", expect_size=\"38813696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101563733\", alpha=\"0.17\", expect_size=\"30469120\"] \n  1 -> 2 [size =\"30469120\"]\n  2 [size=\"123624107\", alpha=\"0.16\", expect_size=\"37087232\"] \n  2 -> 3 [size =\"37087232\"]\n  3 [size=\"21944320\", alpha=\"0.08\", expect_size=\"6583296\"] \n  3 -> 4 [size =\"6583296\"]\n  4 [size=\"109219840\", alpha=\"0.09\", expect_size=\"32765952\"] \n  4 -> 5 [size =\"32765952\"]\n  5 [size=\"135079253\", alpha=\"0.19\", expect_size=\"40523776\"] \n  5 -> 6 [size =\"40523776\"]\n  6 [size=\"54282240\", alpha=\"0.16\", expect_size=\"16284672\"] \n  6 -> 7 [size =\"16284672\"]\n  7 [size=\"88029867\", alpha=\"0.13\", expect_size=\"26408960\"] \n  7 -> 8 [size =\"26408960\"]\n  8 [size=\"141605547\", alpha=\"0.13\", expect_size=\"42481664\"] \n  8 -> 9 [size =\"42481664\"]\n  9 [size=\"161546240\", alpha=\"0.05\", expect_size=\"48463872\"] \n  9 -> 10 [size =\"48463872\"]\n  10 [size=\"28272640\", alpha=\"0.02\", expect_size=\"8481792\"] \n  10 -> 11 [size =\"8481792\"]\n  11 [size=\"31788373\", alpha=\"0.09\", expect_size=\"9536512\"] \n  11 -> 12 [size =\"9536512\"]\n  12 [size=\"168768853\", alpha=\"0.03\", expect_size=\"50630656\"] \n  12 -> 13 [size =\"50630656\"]\n  13 [size=\"140881920\", alpha=\"0.18\", expect_size=\"42264576\"] \n  13 -> 14 [size =\"42264576\"]\n  14 [size=\"48660480\", alpha=\"0.18\", expect_size=\"14598144\"] \n  14 -> 15 [size =\"14598144\"]\n  15 [size=\"119517867\", alpha=\"0.01\", expect_size=\"35855360\"] \n  15 -> 16 [size =\"35855360\"]\n  16 [size=\"115056640\", alpha=\"0.02\", expect_size=\"34516992\"] \n  16 -> 17 [size =\"34516992\"]\n  17 [size=\"86565547\", alpha=\"0.03\", expect_size=\"25969664\"] \n  17 -> 18 [size =\"25969664\"]\n  18 [size=\"27651413\", alpha=\"0.11\", expect_size=\"8295424\"] \n  18 -> 19 [size =\"8295424\"]\n  19 [size=\"132601173\", alpha=\"0.07\", expect_size=\"39780352\"] \n  19 -> 20 [size =\"39780352\"]\n  20 [size=\"172656640\", alpha=\"0.17\", expect_size=\"51796992\"] \n  20 -> 21 [size =\"51796992\"]\n  21 [size=\"31563093\", alpha=\"0.18\", expect_size=\"9468928\"] \n  21 -> 22 [size =\"9468928\"]\n  22 [size=\"100706987\", alpha=\"0.12\", expect_size=\"30212096\"] \n  22 -> 23 [size =\"30212096\"]\n  23 [size=\"124235093\", alpha=\"0.07\", expect_size=\"37270528\"] \n  23 -> 24 [size =\"37270528\"]\n  24 [size=\"108223147\", alpha=\"0.13\", expect_size=\"32466944\"] \n  24 -> 25 [size =\"32466944\"]\n  25 [size=\"90074453\", alpha=\"0.15\", expect_size=\"27022336\"] \n  25 -> 26 [size =\"27022336\"]\n  26 [size=\"94685867\", alpha=\"0.01\", expect_size=\"28405760\"] \n  26 -> 27 [size =\"28405760\"]\n  27 [size=\"113418240\", alpha=\"0.16\", expect_size=\"34025472\"] \n  27 -> 28 [size =\"34025472\"]\n  28 [size=\"137758720\", alpha=\"0.07\", expect_size=\"41327616\"] \n  28 -> 29 [size =\"41327616\"]\n  29 [size=\"69079040\", alpha=\"0.16\", expect_size=\"20723712\"] \n  29 -> 30 [size =\"20723712\"]\n  30 [size=\"121869653\", alpha=\"0.07\", expect_size=\"36560896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50606080\", alpha=\"0.15\", expect_size=\"20242432\"] \n  1 -> 13 [size =\"20242432\"]\n  1 -> 16 [size =\"20242432\"]\n  1 -> 18 [size =\"20242432\"]\n  1 -> 19 [size =\"20242432\"]\n  2 [size=\"93150720\", alpha=\"0.18\", expect_size=\"37260288\"] \n  2 -> 11 [size =\"37260288\"]\n  2 -> 13 [size =\"37260288\"]\n  2 -> 14 [size =\"37260288\"]\n  2 -> 16 [size =\"37260288\"]\n  3 [size=\"19328000\", alpha=\"0.09\", expect_size=\"7731200\"] \n  3 -> 11 [size =\"7731200\"]\n  3 -> 13 [size =\"7731200\"]\n  3 -> 15 [size =\"7731200\"]\n  3 -> 16 [size =\"7731200\"]\n  3 -> 20 [size =\"7731200\"]\n  4 [size=\"27363840\", alpha=\"0.07\", expect_size=\"10945536\"] \n  4 -> 14 [size =\"10945536\"]\n  4 -> 15 [size =\"10945536\"]\n  5 [size=\"96350720\", alpha=\"0.06\", expect_size=\"38540288\"] \n  5 -> 12 [size =\"38540288\"]\n  5 -> 14 [size =\"38540288\"]\n  5 -> 15 [size =\"38540288\"]\n  5 -> 18 [size =\"38540288\"]\n  6 [size=\"27763200\", alpha=\"0.19\", expect_size=\"11105280\"] \n  6 -> 14 [size =\"11105280\"]\n  6 -> 17 [size =\"11105280\"]\n  7 [size=\"123983360\", alpha=\"0.06\", expect_size=\"49593344\"] \n  7 -> 15 [size =\"49593344\"]\n  7 -> 17 [size =\"49593344\"]\n  7 -> 19 [size =\"49593344\"]\n  8 [size=\"17423360\", alpha=\"0.02\", expect_size=\"6969344\"] \n  8 -> 16 [size =\"6969344\"]\n  9 [size=\"74618880\", alpha=\"0.05\", expect_size=\"29847552\"] \n  9 -> 14 [size =\"29847552\"]\n  9 -> 16 [size =\"29847552\"]\n  9 -> 17 [size =\"29847552\"]\n  10 [size=\"39477760\", alpha=\"0.10\", expect_size=\"15791104\"] \n  10 -> 14 [size =\"15791104\"]\n  10 -> 16 [size =\"15791104\"]\n  10 -> 18 [size =\"15791104\"]\n  11 [size=\"99612160\", alpha=\"0.16\", expect_size=\"39844864\"] \n  11 -> 22 [size =\"39844864\"]\n  11 -> 23 [size =\"39844864\"]\n  11 -> 24 [size =\"39844864\"]\n  11 -> 27 [size =\"39844864\"]\n  12 [size=\"70837760\", alpha=\"0.19\", expect_size=\"28335104\"] \n  12 -> 23 [size =\"28335104\"]\n  12 -> 26 [size =\"28335104\"]\n  12 -> 29 [size =\"28335104\"]\n  13 [size=\"59225600\", alpha=\"0.09\", expect_size=\"23690240\"] \n  13 -> 22 [size =\"23690240\"]\n  13 -> 25 [size =\"23690240\"]\n  13 -> 28 [size =\"23690240\"]\n  13 -> 29 [size =\"23690240\"]\n  14 [size=\"112801280\", alpha=\"0.08\", expect_size=\"45120512\"] \n  14 -> 22 [size =\"45120512\"]\n  14 -> 25 [size =\"45120512\"]\n  14 -> 26 [size =\"45120512\"]\n  14 -> 27 [size =\"45120512\"]\n  14 -> 29 [size =\"45120512\"]\n  15 [size=\"36858880\", alpha=\"0.13\", expect_size=\"14743552\"] \n  15 -> 22 [size =\"14743552\"]\n  15 -> 23 [size =\"14743552\"]\n  15 -> 24 [size =\"14743552\"]\n  15 -> 25 [size =\"14743552\"]\n  15 -> 28 [size =\"14743552\"]\n  15 -> 29 [size =\"14743552\"]\n  16 [size=\"74923520\", alpha=\"0.02\", expect_size=\"29969408\"] \n  16 -> 21 [size =\"29969408\"]\n  16 -> 24 [size =\"29969408\"]\n  16 -> 25 [size =\"29969408\"]\n  16 -> 29 [size =\"29969408\"]\n  17 [size=\"71390720\", alpha=\"0.19\", expect_size=\"28556288\"] \n  17 -> 22 [size =\"28556288\"]\n  17 -> 24 [size =\"28556288\"]\n  17 -> 28 [size =\"28556288\"]\n  18 [size=\"107886080\", alpha=\"0.11\", expect_size=\"43154432\"] \n  18 -> 22 [size =\"43154432\"]\n  18 -> 23 [size =\"43154432\"]\n  18 -> 24 [size =\"43154432\"]\n  19 [size=\"120724480\", alpha=\"0.03\", expect_size=\"48289792\"] \n  19 -> 23 [size =\"48289792\"]\n  19 -> 24 [size =\"48289792\"]\n  19 -> 27 [size =\"48289792\"]\n  19 -> 28 [size =\"48289792\"]\n  20 [size=\"32017920\", alpha=\"0.10\", expect_size=\"12807168\"] \n  20 -> 23 [size =\"12807168\"]\n  20 -> 24 [size =\"12807168\"]\n  20 -> 25 [size =\"12807168\"]\n  20 -> 26 [size =\"12807168\"]\n  20 -> 27 [size =\"12807168\"]\n  20 -> 29 [size =\"12807168\"]\n  21 [size=\"89861120\", alpha=\"0.02\", expect_size=\"35944448\"] \n  22 [size=\"64128000\", alpha=\"0.08\", expect_size=\"25651200\"] \n  23 [size=\"57469440\", alpha=\"0.16\", expect_size=\"22987776\"] \n  24 [size=\"107845120\", alpha=\"0.05\", expect_size=\"43138048\"] \n  25 [size=\"36029440\", alpha=\"0.09\", expect_size=\"14411776\"] \n  25 -> 30 [size =\"14411776\"]\n  26 [size=\"110146560\", alpha=\"0.15\", expect_size=\"44058624\"] \n  27 [size=\"122746880\", alpha=\"0.00\", expect_size=\"49098752\"] \n  27 -> 30 [size =\"49098752\"]\n  28 [size=\"118981120\", alpha=\"0.06\", expect_size=\"47592448\"] \n  28 -> 30 [size =\"47592448\"]\n  29 [size=\"63703040\", alpha=\"0.02\", expect_size=\"25481216\"] \n  29 -> 30 [size =\"25481216\"]\n  30 [size=\"83904000\", alpha=\"0.03\", expect_size=\"33561600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90270720\", alpha=\"0.05\", expect_size=\"36108288\"] \n  1 -> 13 [size =\"36108288\"]\n  1 -> 14 [size =\"36108288\"]\n  1 -> 16 [size =\"36108288\"]\n  1 -> 17 [size =\"36108288\"]\n  1 -> 19 [size =\"36108288\"]\n  1 -> 22 [size =\"36108288\"]\n  2 [size=\"70090240\", alpha=\"0.06\", expect_size=\"28036096\"] \n  2 -> 13 [size =\"28036096\"]\n  2 -> 14 [size =\"28036096\"]\n  2 -> 17 [size =\"28036096\"]\n  2 -> 19 [size =\"28036096\"]\n  3 [size=\"81154560\", alpha=\"0.16\", expect_size=\"32461824\"] \n  3 -> 14 [size =\"32461824\"]\n  3 -> 14 [size =\"32461824\"]\n  3 -> 19 [size =\"32461824\"]\n  4 [size=\"44231680\", alpha=\"0.19\", expect_size=\"17692672\"] \n  4 -> 13 [size =\"17692672\"]\n  4 -> 16 [size =\"17692672\"]\n  4 -> 19 [size =\"17692672\"]\n  4 -> 22 [size =\"17692672\"]\n  5 [size=\"46597120\", alpha=\"0.15\", expect_size=\"18638848\"] \n  5 -> 17 [size =\"18638848\"]\n  5 -> 20 [size =\"18638848\"]\n  5 -> 22 [size =\"18638848\"]\n  6 [size=\"38955520\", alpha=\"0.03\", expect_size=\"15582208\"] \n  6 -> 16 [size =\"15582208\"]\n  6 -> 19 [size =\"15582208\"]\n  6 -> 20 [size =\"15582208\"]\n  6 -> 22 [size =\"15582208\"]\n  7 [size=\"23767040\", alpha=\"0.12\", expect_size=\"9506816\"] \n  7 -> 13 [size =\"9506816\"]\n  7 -> 18 [size =\"9506816\"]\n  7 -> 22 [size =\"9506816\"]\n  8 [size=\"46435840\", alpha=\"0.10\", expect_size=\"18574336\"] \n  8 -> 13 [size =\"18574336\"]\n  8 -> 17 [size =\"18574336\"]\n  8 -> 18 [size =\"18574336\"]\n  8 -> 21 [size =\"18574336\"]\n  8 -> 22 [size =\"18574336\"]\n  9 [size=\"73996800\", alpha=\"0.06\", expect_size=\"29598720\"] \n  9 -> 13 [size =\"29598720\"]\n  9 -> 14 [size =\"29598720\"]\n  9 -> 15 [size =\"29598720\"]\n  9 -> 16 [size =\"29598720\"]\n  9 -> 17 [size =\"29598720\"]\n  9 -> 18 [size =\"29598720\"]\n  10 [size=\"130972160\", alpha=\"0.16\", expect_size=\"52388864\"] \n  10 -> 17 [size =\"52388864\"]\n  10 -> 18 [size =\"52388864\"]\n  11 [size=\"54374400\", alpha=\"0.09\", expect_size=\"21749760\"] \n  11 -> 14 [size =\"21749760\"]\n  11 -> 16 [size =\"21749760\"]\n  11 -> 18 [size =\"21749760\"]\n  11 -> 20 [size =\"21749760\"]\n  11 -> 21 [size =\"21749760\"]\n  11 -> 22 [size =\"21749760\"]\n  12 [size=\"82293760\", alpha=\"0.05\", expect_size=\"32917504\"] \n  12 -> 13 [size =\"32917504\"]\n  12 -> 14 [size =\"32917504\"]\n  12 -> 16 [size =\"32917504\"]\n  12 -> 19 [size =\"32917504\"]\n  12 -> 20 [size =\"32917504\"]\n  13 [size=\"114938880\", alpha=\"0.16\", expect_size=\"45975552\"] \n  13 -> 25 [size =\"45975552\"]\n  14 [size=\"92759040\", alpha=\"0.01\", expect_size=\"37103616\"] \n  14 -> 23 [size =\"37103616\"]\n  14 -> 24 [size =\"37103616\"]\n  14 -> 25 [size =\"37103616\"]\n  14 -> 26 [size =\"37103616\"]\n  15 [size=\"87193600\", alpha=\"0.12\", expect_size=\"34877440\"] \n  15 -> 23 [size =\"34877440\"]\n  15 -> 24 [size =\"34877440\"]\n  15 -> 25 [size =\"34877440\"]\n  15 -> 26 [size =\"34877440\"]\n  15 -> 28 [size =\"34877440\"]\n  15 -> 29 [size =\"34877440\"]\n  16 [size=\"60285440\", alpha=\"0.02\", expect_size=\"24114176\"] \n  16 -> 23 [size =\"24114176\"]\n  16 -> 28 [size =\"24114176\"]\n  16 -> 29 [size =\"24114176\"]\n  17 [size=\"75688960\", alpha=\"0.09\", expect_size=\"30275584\"] \n  17 -> 23 [size =\"30275584\"]\n  17 -> 24 [size =\"30275584\"]\n  17 -> 25 [size =\"30275584\"]\n  17 -> 28 [size =\"30275584\"]\n  17 -> 29 [size =\"30275584\"]\n  18 [size=\"29928960\", alpha=\"0.09\", expect_size=\"11971584\"] \n  18 -> 25 [size =\"11971584\"]\n  18 -> 28 [size =\"11971584\"]\n  18 -> 29 [size =\"11971584\"]\n  19 [size=\"88079360\", alpha=\"0.13\", expect_size=\"35231744\"] \n  19 -> 23 [size =\"35231744\"]\n  19 -> 24 [size =\"35231744\"]\n  19 -> 26 [size =\"35231744\"]\n  19 -> 29 [size =\"35231744\"]\n  20 [size=\"121039360\", alpha=\"0.16\", expect_size=\"48415744\"] \n  20 -> 23 [size =\"48415744\"]\n  20 -> 24 [size =\"48415744\"]\n  20 -> 26 [size =\"48415744\"]\n  20 -> 30 [size =\"48415744\"]\n  21 [size=\"95193600\", alpha=\"0.12\", expect_size=\"38077440\"] \n  21 -> 26 [size =\"38077440\"]\n  21 -> 27 [size =\"38077440\"]\n  21 -> 28 [size =\"38077440\"]\n  21 -> 29 [size =\"38077440\"]\n  22 [size=\"32627200\", alpha=\"0.18\", expect_size=\"13050880\"] \n  22 -> 24 [size =\"13050880\"]\n  22 -> 26 [size =\"13050880\"]\n  23 [size=\"61130240\", alpha=\"0.15\", expect_size=\"24452096\"] \n  24 [size=\"39605760\", alpha=\"0.17\", expect_size=\"15842304\"] \n  25 [size=\"45171200\", alpha=\"0.05\", expect_size=\"18068480\"] \n  26 [size=\"118620160\", alpha=\"0.18\", expect_size=\"47448064\"] \n  27 [size=\"127902720\", alpha=\"0.12\", expect_size=\"51161088\"] \n  28 [size=\"61176320\", alpha=\"0.12\", expect_size=\"24470528\"] \n  29 [size=\"113320960\", alpha=\"0.03\", expect_size=\"45328384\"] \n  30 [size=\"73676800\", alpha=\"0.13\", expect_size=\"29470720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19212800\", alpha=\"0.04\", expect_size=\"7685120\"] \n  1 -> 11 [size =\"7685120\"]\n  1 -> 14 [size =\"7685120\"]\n  1 -> 18 [size =\"7685120\"]\n  1 -> 19 [size =\"7685120\"]\n  2 [size=\"114091520\", alpha=\"0.05\", expect_size=\"45636608\"] \n  2 -> 11 [size =\"45636608\"]\n  2 -> 12 [size =\"45636608\"]\n  2 -> 13 [size =\"45636608\"]\n  2 -> 19 [size =\"45636608\"]\n  3 [size=\"82426880\", alpha=\"0.01\", expect_size=\"32970752\"] \n  3 -> 12 [size =\"32970752\"]\n  3 -> 17 [size =\"32970752\"]\n  4 [size=\"51394560\", alpha=\"0.04\", expect_size=\"20557824\"] \n  4 -> 15 [size =\"20557824\"]\n  4 -> 18 [size =\"20557824\"]\n  5 [size=\"122616320\", alpha=\"0.12\", expect_size=\"49046528\"] \n  5 -> 16 [size =\"49046528\"]\n  5 -> 17 [size =\"49046528\"]\n  5 -> 19 [size =\"49046528\"]\n  6 [size=\"103633920\", alpha=\"0.14\", expect_size=\"41453568\"] \n  6 -> 10 [size =\"41453568\"]\n  6 -> 13 [size =\"41453568\"]\n  6 -> 16 [size =\"41453568\"]\n  7 [size=\"42186240\", alpha=\"0.05\", expect_size=\"16874496\"] \n  7 -> 10 [size =\"16874496\"]\n  7 -> 13 [size =\"16874496\"]\n  7 -> 14 [size =\"16874496\"]\n  7 -> 16 [size =\"16874496\"]\n  8 [size=\"125017600\", alpha=\"0.18\", expect_size=\"50007040\"] \n  8 -> 11 [size =\"50007040\"]\n  8 -> 14 [size =\"50007040\"]\n  8 -> 16 [size =\"50007040\"]\n  9 [size=\"58626560\", alpha=\"0.04\", expect_size=\"23450624\"] \n  9 -> 11 [size =\"23450624\"]\n  9 -> 14 [size =\"23450624\"]\n  10 [size=\"74539520\", alpha=\"0.03\", expect_size=\"29815808\"] \n  10 -> 26 [size =\"29815808\"]\n  10 -> 29 [size =\"29815808\"]\n  11 [size=\"108679680\", alpha=\"0.07\", expect_size=\"43471872\"] \n  11 -> 21 [size =\"43471872\"]\n  11 -> 24 [size =\"43471872\"]\n  11 -> 26 [size =\"43471872\"]\n  12 [size=\"14220800\", alpha=\"0.04\", expect_size=\"5688320\"] \n  12 -> 21 [size =\"5688320\"]\n  12 -> 24 [size =\"5688320\"]\n  12 -> 27 [size =\"5688320\"]\n  12 -> 29 [size =\"5688320\"]\n  13 [size=\"42442240\", alpha=\"0.17\", expect_size=\"16976896\"] \n  13 -> 25 [size =\"16976896\"]\n  13 -> 27 [size =\"16976896\"]\n  13 -> 28 [size =\"16976896\"]\n  14 [size=\"49313280\", alpha=\"0.15\", expect_size=\"19725312\"] \n  14 -> 21 [size =\"19725312\"]\n  14 -> 24 [size =\"19725312\"]\n  14 -> 25 [size =\"19725312\"]\n  15 [size=\"72130560\", alpha=\"0.11\", expect_size=\"28852224\"] \n  16 [size=\"24248320\", alpha=\"0.07\", expect_size=\"9699328\"] \n  16 -> 25 [size =\"9699328\"]\n  16 -> 27 [size =\"9699328\"]\n  17 [size=\"105093120\", alpha=\"0.03\", expect_size=\"42037248\"] \n  17 -> 20 [size =\"42037248\"]\n  17 -> 22 [size =\"42037248\"]\n  17 -> 23 [size =\"42037248\"]\n  17 -> 26 [size =\"42037248\"]\n  18 [size=\"13760000\", alpha=\"0.01\", expect_size=\"5504000\"] \n  18 -> 20 [size =\"5504000\"]\n  18 -> 21 [size =\"5504000\"]\n  18 -> 22 [size =\"5504000\"]\n  18 -> 26 [size =\"5504000\"]\n  18 -> 27 [size =\"5504000\"]\n  19 [size=\"118545920\", alpha=\"0.19\", expect_size=\"47418368\"] \n  19 -> 21 [size =\"47418368\"]\n  19 -> 24 [size =\"47418368\"]\n  19 -> 27 [size =\"47418368\"]\n  20 [size=\"25213440\", alpha=\"0.13\", expect_size=\"10085376\"] \n  21 [size=\"44149760\", alpha=\"0.08\", expect_size=\"17659904\"] \n  22 [size=\"83530240\", alpha=\"0.01\", expect_size=\"33412096\"] \n  23 [size=\"108958720\", alpha=\"0.05\", expect_size=\"43583488\"] \n  24 [size=\"90580480\", alpha=\"0.15\", expect_size=\"36232192\"] \n  24 -> 30 [size =\"36232192\"]\n  25 [size=\"63654400\", alpha=\"0.05\", expect_size=\"25461760\"] \n  26 [size=\"129958400\", alpha=\"0.09\", expect_size=\"51983360\"] \n  26 -> 30 [size =\"51983360\"]\n  27 [size=\"50362880\", alpha=\"0.19\", expect_size=\"20145152\"] \n  27 -> 30 [size =\"20145152\"]\n  28 [size=\"69839360\", alpha=\"0.07\", expect_size=\"27935744\"] \n  28 -> 30 [size =\"27935744\"]\n  29 [size=\"76945920\", alpha=\"0.03\", expect_size=\"30778368\"] \n  29 -> 30 [size =\"30778368\"]\n  30 [size=\"70643200\", alpha=\"0.10\", expect_size=\"28257280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121871360\", alpha=\"0.18\", expect_size=\"48748544\"] \n  1 -> 10 [size =\"48748544\"]\n  1 -> 14 [size =\"48748544\"]\n  1 -> 16 [size =\"48748544\"]\n  1 -> 17 [size =\"48748544\"]\n  1 -> 18 [size =\"48748544\"]\n  1 -> 19 [size =\"48748544\"]\n  2 [size=\"125017600\", alpha=\"0.08\", expect_size=\"50007040\"] \n  2 -> 16 [size =\"50007040\"]\n  2 -> 17 [size =\"50007040\"]\n  2 -> 18 [size =\"50007040\"]\n  3 [size=\"26040320\", alpha=\"0.17\", expect_size=\"10416128\"] \n  3 -> 11 [size =\"10416128\"]\n  3 -> 16 [size =\"10416128\"]\n  3 -> 17 [size =\"10416128\"]\n  4 [size=\"123028480\", alpha=\"0.02\", expect_size=\"49211392\"] \n  4 -> 15 [size =\"49211392\"]\n  4 -> 17 [size =\"49211392\"]\n  4 -> 17 [size =\"49211392\"]\n  5 [size=\"107008000\", alpha=\"0.20\", expect_size=\"42803200\"] \n  5 -> 11 [size =\"42803200\"]\n  5 -> 13 [size =\"42803200\"]\n  5 -> 14 [size =\"42803200\"]\n  5 -> 17 [size =\"42803200\"]\n  5 -> 18 [size =\"42803200\"]\n  6 [size=\"24496640\", alpha=\"0.16\", expect_size=\"9798656\"] \n  6 -> 17 [size =\"9798656\"]\n  6 -> 19 [size =\"9798656\"]\n  7 [size=\"31843840\", alpha=\"0.14\", expect_size=\"12737536\"] \n  7 -> 10 [size =\"12737536\"]\n  7 -> 17 [size =\"12737536\"]\n  8 [size=\"121103360\", alpha=\"0.16\", expect_size=\"48441344\"] \n  8 -> 10 [size =\"48441344\"]\n  8 -> 12 [size =\"48441344\"]\n  8 -> 16 [size =\"48441344\"]\n  8 -> 18 [size =\"48441344\"]\n  8 -> 19 [size =\"48441344\"]\n  9 [size=\"81643520\", alpha=\"0.19\", expect_size=\"32657408\"] \n  9 -> 10 [size =\"32657408\"]\n  9 -> 12 [size =\"32657408\"]\n  9 -> 15 [size =\"32657408\"]\n  9 -> 16 [size =\"32657408\"]\n  9 -> 18 [size =\"32657408\"]\n  10 [size=\"123389440\", alpha=\"0.00\", expect_size=\"49355776\"] \n  10 -> 21 [size =\"49355776\"]\n  10 -> 22 [size =\"49355776\"]\n  10 -> 24 [size =\"49355776\"]\n  10 -> 25 [size =\"49355776\"]\n  10 -> 26 [size =\"49355776\"]\n  11 [size=\"56435200\", alpha=\"0.03\", expect_size=\"22574080\"] \n  11 -> 24 [size =\"22574080\"]\n  12 [size=\"47554560\", alpha=\"0.03\", expect_size=\"19021824\"] \n  12 -> 22 [size =\"19021824\"]\n  12 -> 25 [size =\"19021824\"]\n  12 -> 26 [size =\"19021824\"]\n  13 [size=\"96250880\", alpha=\"0.12\", expect_size=\"38500352\"] \n  13 -> 21 [size =\"38500352\"]\n  13 -> 26 [size =\"38500352\"]\n  14 [size=\"80442880\", alpha=\"0.00\", expect_size=\"32177152\"] \n  14 -> 21 [size =\"32177152\"]\n  14 -> 23 [size =\"32177152\"]\n  14 -> 25 [size =\"32177152\"]\n  15 [size=\"94481920\", alpha=\"0.17\", expect_size=\"37792768\"] \n  16 [size=\"93102080\", alpha=\"0.05\", expect_size=\"37240832\"] \n  16 -> 23 [size =\"37240832\"]\n  16 -> 26 [size =\"37240832\"]\n  17 [size=\"69893120\", alpha=\"0.07\", expect_size=\"27957248\"] \n  17 -> 22 [size =\"27957248\"]\n  17 -> 23 [size =\"27957248\"]\n  17 -> 26 [size =\"27957248\"]\n  18 [size=\"34078720\", alpha=\"0.03\", expect_size=\"13631488\"] \n  18 -> 20 [size =\"13631488\"]\n  18 -> 21 [size =\"13631488\"]\n  18 -> 22 [size =\"13631488\"]\n  18 -> 23 [size =\"13631488\"]\n  18 -> 24 [size =\"13631488\"]\n  18 -> 26 [size =\"13631488\"]\n  19 [size=\"127633920\", alpha=\"0.14\", expect_size=\"51053568\"] \n  19 -> 20 [size =\"51053568\"]\n  19 -> 21 [size =\"51053568\"]\n  19 -> 25 [size =\"51053568\"]\n  19 -> 26 [size =\"51053568\"]\n  20 [size=\"122600960\", alpha=\"0.17\", expect_size=\"49040384\"] \n  20 -> 27 [size =\"49040384\"]\n  20 -> 28 [size =\"49040384\"]\n  21 [size=\"124661760\", alpha=\"0.19\", expect_size=\"49864704\"] \n  21 -> 27 [size =\"49864704\"]\n  21 -> 28 [size =\"49864704\"]\n  21 -> 30 [size =\"49864704\"]\n  22 [size=\"22743040\", alpha=\"0.00\", expect_size=\"9097216\"] \n  22 -> 27 [size =\"9097216\"]\n  22 -> 28 [size =\"9097216\"]\n  22 -> 30 [size =\"9097216\"]\n  23 [size=\"38430720\", alpha=\"0.03\", expect_size=\"15372288\"] \n  23 -> 27 [size =\"15372288\"]\n  23 -> 28 [size =\"15372288\"]\n  23 -> 29 [size =\"15372288\"]\n  24 [size=\"108070400\", alpha=\"0.05\", expect_size=\"43228160\"] \n  24 -> 27 [size =\"43228160\"]\n  24 -> 28 [size =\"43228160\"]\n  24 -> 30 [size =\"43228160\"]\n  25 [size=\"108874240\", alpha=\"0.03\", expect_size=\"43549696\"] \n  25 -> 27 [size =\"43549696\"]\n  25 -> 28 [size =\"43549696\"]\n  26 [size=\"89090560\", alpha=\"0.03\", expect_size=\"35636224\"] \n  26 -> 27 [size =\"35636224\"]\n  26 -> 28 [size =\"35636224\"]\n  26 -> 29 [size =\"35636224\"]\n  26 -> 30 [size =\"35636224\"]\n  27 [size=\"118333440\", alpha=\"0.05\", expect_size=\"47333376\"] \n  28 [size=\"40340480\", alpha=\"0.07\", expect_size=\"16136192\"] \n  29 [size=\"59658240\", alpha=\"0.19\", expect_size=\"23863296\"] \n  30 [size=\"23042560\", alpha=\"0.11\", expect_size=\"9217024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142168747\", alpha=\"0.13\", expect_size=\"42650624\"] \n  1 -> 16 [size =\"42650624\"]\n  1 -> 19 [size =\"42650624\"]\n  1 -> 22 [size =\"42650624\"]\n  2 [size=\"102693547\", alpha=\"0.12\", expect_size=\"30808064\"] \n  2 -> 13 [size =\"30808064\"]\n  2 -> 14 [size =\"30808064\"]\n  2 -> 16 [size =\"30808064\"]\n  2 -> 17 [size =\"30808064\"]\n  2 -> 21 [size =\"30808064\"]\n  2 -> 22 [size =\"30808064\"]\n  3 [size=\"116879360\", alpha=\"0.03\", expect_size=\"35063808\"] \n  3 -> 11 [size =\"35063808\"]\n  3 -> 14 [size =\"35063808\"]\n  3 -> 22 [size =\"35063808\"]\n  4 [size=\"23630507\", alpha=\"0.11\", expect_size=\"7089152\"] \n  4 -> 11 [size =\"7089152\"]\n  4 -> 14 [size =\"7089152\"]\n  4 -> 16 [size =\"7089152\"]\n  5 [size=\"43165013\", alpha=\"0.17\", expect_size=\"12949504\"] \n  5 -> 11 [size =\"12949504\"]\n  5 -> 13 [size =\"12949504\"]\n  5 -> 14 [size =\"12949504\"]\n  5 -> 16 [size =\"12949504\"]\n  5 -> 17 [size =\"12949504\"]\n  5 -> 19 [size =\"12949504\"]\n  5 -> 21 [size =\"12949504\"]\n  6 [size=\"162908160\", alpha=\"0.08\", expect_size=\"48872448\"] \n  6 -> 11 [size =\"48872448\"]\n  6 -> 12 [size =\"48872448\"]\n  6 -> 14 [size =\"48872448\"]\n  6 -> 15 [size =\"48872448\"]\n  6 -> 16 [size =\"48872448\"]\n  6 -> 19 [size =\"48872448\"]\n  7 [size=\"28351147\", alpha=\"0.13\", expect_size=\"8505344\"] \n  7 -> 11 [size =\"8505344\"]\n  7 -> 14 [size =\"8505344\"]\n  7 -> 16 [size =\"8505344\"]\n  7 -> 17 [size =\"8505344\"]\n  7 -> 18 [size =\"8505344\"]\n  7 -> 20 [size =\"8505344\"]\n  7 -> 22 [size =\"8505344\"]\n  8 [size=\"155729920\", alpha=\"0.14\", expect_size=\"46718976\"] \n  8 -> 11 [size =\"46718976\"]\n  8 -> 15 [size =\"46718976\"]\n  8 -> 17 [size =\"46718976\"]\n  8 -> 19 [size =\"46718976\"]\n  9 [size=\"60105387\", alpha=\"0.04\", expect_size=\"18031616\"] \n  9 -> 19 [size =\"18031616\"]\n  10 [size=\"149855573\", alpha=\"0.07\", expect_size=\"44956672\"] \n  10 -> 13 [size =\"44956672\"]\n  11 [size=\"161252693\", alpha=\"0.08\", expect_size=\"48375808\"] \n  11 -> 23 [size =\"48375808\"]\n  11 -> 24 [size =\"48375808\"]\n  11 -> 28 [size =\"48375808\"]\n  12 [size=\"105649493\", alpha=\"0.11\", expect_size=\"31694848\"] \n  12 -> 25 [size =\"31694848\"]\n  12 -> 29 [size =\"31694848\"]\n  13 [size=\"39860907\", alpha=\"0.06\", expect_size=\"11958272\"] \n  13 -> 23 [size =\"11958272\"]\n  13 -> 24 [size =\"11958272\"]\n  13 -> 26 [size =\"11958272\"]\n  14 [size=\"66304000\", alpha=\"0.14\", expect_size=\"19891200\"] \n  14 -> 23 [size =\"19891200\"]\n  14 -> 24 [size =\"19891200\"]\n  14 -> 25 [size =\"19891200\"]\n  15 [size=\"150876160\", alpha=\"0.11\", expect_size=\"45262848\"] \n  15 -> 28 [size =\"45262848\"]\n  16 [size=\"131092480\", alpha=\"0.13\", expect_size=\"39327744\"] \n  16 -> 26 [size =\"39327744\"]\n  16 -> 28 [size =\"39327744\"]\n  17 [size=\"38509227\", alpha=\"0.10\", expect_size=\"11552768\"] \n  17 -> 24 [size =\"11552768\"]\n  17 -> 25 [size =\"11552768\"]\n  17 -> 26 [size =\"11552768\"]\n  17 -> 27 [size =\"11552768\"]\n  18 [size=\"141612373\", alpha=\"0.15\", expect_size=\"42483712\"] \n  18 -> 23 [size =\"42483712\"]\n  18 -> 25 [size =\"42483712\"]\n  18 -> 27 [size =\"42483712\"]\n  18 -> 28 [size =\"42483712\"]\n  19 [size=\"91979093\", alpha=\"0.18\", expect_size=\"27593728\"] \n  19 -> 27 [size =\"27593728\"]\n  19 -> 28 [size =\"27593728\"]\n  19 -> 29 [size =\"27593728\"]\n  20 [size=\"121931093\", alpha=\"0.01\", expect_size=\"36579328\"] \n  20 -> 26 [size =\"36579328\"]\n  20 -> 27 [size =\"36579328\"]\n  20 -> 28 [size =\"36579328\"]\n  20 -> 29 [size =\"36579328\"]\n  21 [size=\"20766720\", alpha=\"0.20\", expect_size=\"6230016\"] \n  21 -> 26 [size =\"6230016\"]\n  22 [size=\"86575787\", alpha=\"0.09\", expect_size=\"25972736\"] \n  22 -> 23 [size =\"25972736\"]\n  22 -> 24 [size =\"25972736\"]\n  22 -> 26 [size =\"25972736\"]\n  22 -> 28 [size =\"25972736\"]\n  23 [size=\"169663147\", alpha=\"0.11\", expect_size=\"50898944\"] \n  23 -> 30 [size =\"50898944\"]\n  24 [size=\"61460480\", alpha=\"0.14\", expect_size=\"18438144\"] \n  25 [size=\"173960533\", alpha=\"0.01\", expect_size=\"52188160\"] \n  26 [size=\"106929493\", alpha=\"0.05\", expect_size=\"32078848\"] \n  27 [size=\"50305707\", alpha=\"0.12\", expect_size=\"15091712\"] \n  28 [size=\"125890560\", alpha=\"0.15\", expect_size=\"37767168\"] \n  29 [size=\"84080640\", alpha=\"0.05\", expect_size=\"25224192\"] \n  30 [size=\"68184747\", alpha=\"0.11\", expect_size=\"20455424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116684800\", alpha=\"0.15\", expect_size=\"35005440\"] \n  1 -> 7 [size =\"35005440\"]\n  1 -> 8 [size =\"35005440\"]\n  2 [size=\"119661227\", alpha=\"0.19\", expect_size=\"35898368\"] \n  2 -> 7 [size =\"35898368\"]\n  2 -> 8 [size =\"35898368\"]\n  2 -> 9 [size =\"35898368\"]\n  3 [size=\"39700480\", alpha=\"0.19\", expect_size=\"11910144\"] \n  3 -> 7 [size =\"11910144\"]\n  3 -> 8 [size =\"11910144\"]\n  4 [size=\"100055040\", alpha=\"0.15\", expect_size=\"30016512\"] \n  4 -> 6 [size =\"30016512\"]\n  4 -> 7 [size =\"30016512\"]\n  4 -> 10 [size =\"30016512\"]\n  5 [size=\"56282453\", alpha=\"0.10\", expect_size=\"16884736\"] \n  5 -> 8 [size =\"16884736\"]\n  5 -> 9 [size =\"16884736\"]\n  5 -> 10 [size =\"16884736\"]\n  6 [size=\"91890347\", alpha=\"0.12\", expect_size=\"27567104\"] \n  6 -> 11 [size =\"27567104\"]\n  6 -> 12 [size =\"27567104\"]\n  6 -> 14 [size =\"27567104\"]\n  7 [size=\"70311253\", alpha=\"0.02\", expect_size=\"21093376\"] \n  7 -> 13 [size =\"21093376\"]\n  7 -> 14 [size =\"21093376\"]\n  8 [size=\"167598080\", alpha=\"0.08\", expect_size=\"50279424\"] \n  9 [size=\"134161067\", alpha=\"0.04\", expect_size=\"40248320\"] \n  9 -> 11 [size =\"40248320\"]\n  9 -> 12 [size =\"40248320\"]\n  9 -> 13 [size =\"40248320\"]\n  10 [size=\"88992427\", alpha=\"0.14\", expect_size=\"26697728\"] \n  10 -> 12 [size =\"26697728\"]\n  10 -> 13 [size =\"26697728\"]\n  10 -> 15 [size =\"26697728\"]\n  11 [size=\"68352000\", alpha=\"0.08\", expect_size=\"20505600\"] \n  11 -> 16 [size =\"20505600\"]\n  11 -> 18 [size =\"20505600\"]\n  11 -> 20 [size =\"20505600\"]\n  12 [size=\"29265920\", alpha=\"0.11\", expect_size=\"8779776\"] \n  12 -> 16 [size =\"8779776\"]\n  12 -> 18 [size =\"8779776\"]\n  12 -> 20 [size =\"8779776\"]\n  13 [size=\"24753493\", alpha=\"0.18\", expect_size=\"7426048\"] \n  13 -> 16 [size =\"7426048\"]\n  13 -> 17 [size =\"7426048\"]\n  13 -> 18 [size =\"7426048\"]\n  13 -> 20 [size =\"7426048\"]\n  14 [size=\"18111147\", alpha=\"0.16\", expect_size=\"5433344\"] \n  14 -> 17 [size =\"5433344\"]\n  14 -> 19 [size =\"5433344\"]\n  14 -> 20 [size =\"5433344\"]\n  15 [size=\"137925973\", alpha=\"0.10\", expect_size=\"41377792\"] \n  15 -> 16 [size =\"41377792\"]\n  15 -> 18 [size =\"41377792\"]\n  15 -> 19 [size =\"41377792\"]\n  16 [size=\"62627840\", alpha=\"0.02\", expect_size=\"18788352\"] \n  16 -> 21 [size =\"18788352\"]\n  16 -> 22 [size =\"18788352\"]\n  17 [size=\"159590400\", alpha=\"0.05\", expect_size=\"47877120\"] \n  17 -> 22 [size =\"47877120\"]\n  18 [size=\"171786240\", alpha=\"0.11\", expect_size=\"51535872\"] \n  18 -> 22 [size =\"51535872\"]\n  19 [size=\"81329493\", alpha=\"0.13\", expect_size=\"24398848\"] \n  20 [size=\"112274773\", alpha=\"0.18\", expect_size=\"33682432\"] \n  20 -> 22 [size =\"33682432\"]\n  20 -> 23 [size =\"33682432\"]\n  21 [size=\"65112747\", alpha=\"0.16\", expect_size=\"19533824\"] \n  21 -> 24 [size =\"19533824\"]\n  21 -> 25 [size =\"19533824\"]\n  21 -> 26 [size =\"19533824\"]\n  22 [size=\"131338240\", alpha=\"0.07\", expect_size=\"39401472\"] \n  22 -> 24 [size =\"39401472\"]\n  22 -> 25 [size =\"39401472\"]\n  22 -> 27 [size =\"39401472\"]\n  23 [size=\"57190400\", alpha=\"0.00\", expect_size=\"17157120\"] \n  23 -> 25 [size =\"17157120\"]\n  23 -> 26 [size =\"17157120\"]\n  23 -> 28 [size =\"17157120\"]\n  24 [size=\"43779413\", alpha=\"0.04\", expect_size=\"13133824\"] \n  25 [size=\"169820160\", alpha=\"0.13\", expect_size=\"50946048\"] \n  25 -> 30 [size =\"50946048\"]\n  26 [size=\"92975787\", alpha=\"0.12\", expect_size=\"27892736\"] \n  27 [size=\"107605333\", alpha=\"0.17\", expect_size=\"32281600\"] \n  27 -> 29 [size =\"32281600\"]\n  28 [size=\"149189973\", alpha=\"0.01\", expect_size=\"44756992\"] \n  29 [size=\"79107413\", alpha=\"0.00\", expect_size=\"23732224\"] \n  30 [size=\"24036693\", alpha=\"0.08\", expect_size=\"7211008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48912384\", alpha=\"0.18\", expect_size=\"24456192\"] \n  1 -> 8 [size =\"24456192\"]\n  1 -> 12 [size =\"24456192\"]\n  2 [size=\"72808448\", alpha=\"0.03\", expect_size=\"36404224\"] \n  2 -> 9 [size =\"36404224\"]\n  2 -> 11 [size =\"36404224\"]\n  3 [size=\"82444288\", alpha=\"0.07\", expect_size=\"41222144\"] \n  3 -> 7 [size =\"41222144\"]\n  3 -> 9 [size =\"41222144\"]\n  3 -> 10 [size =\"41222144\"]\n  4 [size=\"83372032\", alpha=\"0.11\", expect_size=\"41686016\"] \n  4 -> 12 [size =\"41686016\"]\n  5 [size=\"35493888\", alpha=\"0.19\", expect_size=\"17746944\"] \n  5 -> 8 [size =\"17746944\"]\n  6 [size=\"35303424\", alpha=\"0.04\", expect_size=\"17651712\"] \n  6 -> 8 [size =\"17651712\"]\n  6 -> 9 [size =\"17651712\"]\n  6 -> 10 [size =\"17651712\"]\n  6 -> 12 [size =\"17651712\"]\n  7 [size=\"21913600\", alpha=\"0.00\", expect_size=\"10956800\"] \n  7 -> 13 [size =\"10956800\"]\n  7 -> 14 [size =\"10956800\"]\n  7 -> 16 [size =\"10956800\"]\n  8 [size=\"36409344\", alpha=\"0.09\", expect_size=\"18204672\"] \n  8 -> 18 [size =\"18204672\"]\n  9 [size=\"61794304\", alpha=\"0.08\", expect_size=\"30897152\"] \n  10 [size=\"46622720\", alpha=\"0.00\", expect_size=\"23311360\"] \n  10 -> 13 [size =\"23311360\"]\n  10 -> 14 [size =\"23311360\"]\n  10 -> 17 [size =\"23311360\"]\n  10 -> 18 [size =\"23311360\"]\n  11 [size=\"70227968\", alpha=\"0.13\", expect_size=\"35113984\"] \n  11 -> 13 [size =\"35113984\"]\n  11 -> 16 [size =\"35113984\"]\n  12 [size=\"59125760\", alpha=\"0.17\", expect_size=\"29562880\"] \n  12 -> 14 [size =\"29562880\"]\n  12 -> 15 [size =\"29562880\"]\n  12 -> 16 [size =\"29562880\"]\n  13 [size=\"71168000\", alpha=\"0.20\", expect_size=\"35584000\"] \n  13 -> 20 [size =\"35584000\"]\n  14 [size=\"11413504\", alpha=\"0.20\", expect_size=\"5706752\"] \n  14 -> 19 [size =\"5706752\"]\n  14 -> 20 [size =\"5706752\"]\n  15 [size=\"61992960\", alpha=\"0.06\", expect_size=\"30996480\"] \n  16 [size=\"57407488\", alpha=\"0.12\", expect_size=\"28703744\"] \n  16 -> 20 [size =\"28703744\"]\n  16 -> 21 [size =\"28703744\"]\n  17 [size=\"77559808\", alpha=\"0.04\", expect_size=\"38779904\"] \n  17 -> 19 [size =\"38779904\"]\n  17 -> 22 [size =\"38779904\"]\n  18 [size=\"78612480\", alpha=\"0.03\", expect_size=\"39306240\"] \n  19 [size=\"25636864\", alpha=\"0.00\", expect_size=\"12818432\"] \n  19 -> 23 [size =\"12818432\"]\n  19 -> 24 [size =\"12818432\"]\n  19 -> 27 [size =\"12818432\"]\n  20 [size=\"64948224\", alpha=\"0.05\", expect_size=\"32474112\"] \n  20 -> 25 [size =\"32474112\"]\n  21 [size=\"67049472\", alpha=\"0.17\", expect_size=\"33524736\"] \n  21 -> 25 [size =\"33524736\"]\n  21 -> 26 [size =\"33524736\"]\n  22 [size=\"36265984\", alpha=\"0.03\", expect_size=\"18132992\"] \n  23 [size=\"21149696\", alpha=\"0.04\", expect_size=\"10574848\"] \n  23 -> 28 [size =\"10574848\"]\n  23 -> 29 [size =\"10574848\"]\n  24 [size=\"19986432\", alpha=\"0.01\", expect_size=\"9993216\"] \n  24 -> 28 [size =\"9993216\"]\n  25 [size=\"19949568\", alpha=\"0.02\", expect_size=\"9974784\"] \n  25 -> 28 [size =\"9974784\"]\n  25 -> 30 [size =\"9974784\"]\n  26 [size=\"48656384\", alpha=\"0.09\", expect_size=\"24328192\"] \n  27 [size=\"13213696\", alpha=\"0.19\", expect_size=\"6606848\"] \n  28 [size=\"32026624\", alpha=\"0.14\", expect_size=\"16013312\"] \n  29 [size=\"44322816\", alpha=\"0.20\", expect_size=\"22161408\"] \n  30 [size=\"45170688\", alpha=\"0.13\", expect_size=\"22585344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89891840\", alpha=\"0.11\", expect_size=\"35956736\"] \n  1 -> 2 [size =\"35956736\"]\n  2 [size=\"75253760\", alpha=\"0.11\", expect_size=\"30101504\"] \n  2 -> 3 [size =\"30101504\"]\n  3 [size=\"127582720\", alpha=\"0.16\", expect_size=\"51033088\"] \n  3 -> 4 [size =\"51033088\"]\n  4 [size=\"48576000\", alpha=\"0.19\", expect_size=\"19430400\"] \n  4 -> 5 [size =\"19430400\"]\n  5 [size=\"99238400\", alpha=\"0.04\", expect_size=\"39695360\"] \n  5 -> 6 [size =\"39695360\"]\n  6 [size=\"83581440\", alpha=\"0.02\", expect_size=\"33432576\"] \n  6 -> 7 [size =\"33432576\"]\n  7 [size=\"73297920\", alpha=\"0.03\", expect_size=\"29319168\"] \n  7 -> 8 [size =\"29319168\"]\n  8 [size=\"55861760\", alpha=\"0.11\", expect_size=\"22344704\"] \n  8 -> 9 [size =\"22344704\"]\n  9 [size=\"93719040\", alpha=\"0.07\", expect_size=\"37487616\"] \n  9 -> 10 [size =\"37487616\"]\n  10 [size=\"45084160\", alpha=\"0.19\", expect_size=\"18033664\"] \n  10 -> 11 [size =\"18033664\"]\n  11 [size=\"93934080\", alpha=\"0.12\", expect_size=\"37573632\"] \n  11 -> 12 [size =\"37573632\"]\n  12 [size=\"40289280\", alpha=\"0.12\", expect_size=\"16115712\"] \n  12 -> 13 [size =\"16115712\"]\n  13 [size=\"107852800\", alpha=\"0.14\", expect_size=\"43141120\"] \n  13 -> 14 [size =\"43141120\"]\n  14 [size=\"83432960\", alpha=\"0.04\", expect_size=\"33373184\"] \n  14 -> 15 [size =\"33373184\"]\n  15 [size=\"78830080\", alpha=\"0.19\", expect_size=\"31532032\"] \n  15 -> 16 [size =\"31532032\"]\n  16 [size=\"103016960\", alpha=\"0.02\", expect_size=\"41206784\"] \n  16 -> 17 [size =\"41206784\"]\n  17 [size=\"113907200\", alpha=\"0.18\", expect_size=\"45562880\"] \n  17 -> 18 [size =\"45562880\"]\n  18 [size=\"15004160\", alpha=\"0.06\", expect_size=\"6001664\"] \n  18 -> 19 [size =\"6001664\"]\n  19 [size=\"78574080\", alpha=\"0.06\", expect_size=\"31429632\"] \n  19 -> 20 [size =\"31429632\"]\n  20 [size=\"117690880\", alpha=\"0.15\", expect_size=\"47076352\"] \n  20 -> 21 [size =\"47076352\"]\n  21 [size=\"114004480\", alpha=\"0.17\", expect_size=\"45601792\"] \n  21 -> 22 [size =\"45601792\"]\n  22 [size=\"67924480\", alpha=\"0.10\", expect_size=\"27169792\"] \n  22 -> 23 [size =\"27169792\"]\n  23 [size=\"20981760\", alpha=\"0.02\", expect_size=\"8392704\"] \n  23 -> 24 [size =\"8392704\"]\n  24 [size=\"101708800\", alpha=\"0.00\", expect_size=\"40683520\"] \n  24 -> 25 [size =\"40683520\"]\n  25 [size=\"123642880\", alpha=\"0.13\", expect_size=\"49457152\"] \n  25 -> 26 [size =\"49457152\"]\n  26 [size=\"118868480\", alpha=\"0.18\", expect_size=\"47547392\"] \n  26 -> 27 [size =\"47547392\"]\n  27 [size=\"13624320\", alpha=\"0.12\", expect_size=\"5449728\"] \n  27 -> 28 [size =\"5449728\"]\n  28 [size=\"119964160\", alpha=\"0.15\", expect_size=\"47985664\"] \n  28 -> 29 [size =\"47985664\"]\n  29 [size=\"39918080\", alpha=\"0.10\", expect_size=\"15967232\"] \n  29 -> 30 [size =\"15967232\"]\n  30 [size=\"76830720\", alpha=\"0.11\", expect_size=\"30732288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80148480\", alpha=\"0.06\", expect_size=\"24044544\"] \n  1 -> 9 [size =\"24044544\"]\n  1 -> 13 [size =\"24044544\"]\n  1 -> 14 [size =\"24044544\"]\n  1 -> 19 [size =\"24044544\"]\n  1 -> 20 [size =\"24044544\"]\n  2 [size=\"145452373\", alpha=\"0.12\", expect_size=\"43635712\"] \n  2 -> 9 [size =\"43635712\"]\n  2 -> 15 [size =\"43635712\"]\n  2 -> 19 [size =\"43635712\"]\n  2 -> 19 [size =\"43635712\"]\n  3 [size=\"47482880\", alpha=\"0.02\", expect_size=\"14244864\"] \n  3 -> 12 [size =\"14244864\"]\n  3 -> 17 [size =\"14244864\"]\n  3 -> 18 [size =\"14244864\"]\n  4 [size=\"72854187\", alpha=\"0.06\", expect_size=\"21856256\"] \n  4 -> 11 [size =\"21856256\"]\n  4 -> 18 [size =\"21856256\"]\n  5 [size=\"136335360\", alpha=\"0.11\", expect_size=\"40900608\"] \n  5 -> 10 [size =\"40900608\"]\n  5 -> 15 [size =\"40900608\"]\n  6 [size=\"80220160\", alpha=\"0.05\", expect_size=\"24066048\"] \n  6 -> 12 [size =\"24066048\"]\n  6 -> 15 [size =\"24066048\"]\n  6 -> 16 [size =\"24066048\"]\n  6 -> 18 [size =\"24066048\"]\n  6 -> 20 [size =\"24066048\"]\n  7 [size=\"63071573\", alpha=\"0.01\", expect_size=\"18921472\"] \n  7 -> 12 [size =\"18921472\"]\n  7 -> 19 [size =\"18921472\"]\n  8 [size=\"136915627\", alpha=\"0.07\", expect_size=\"41074688\"] \n  8 -> 13 [size =\"41074688\"]\n  8 -> 18 [size =\"41074688\"]\n  9 [size=\"148264960\", alpha=\"0.08\", expect_size=\"44479488\"] \n  9 -> 24 [size =\"44479488\"]\n  9 -> 27 [size =\"44479488\"]\n  10 [size=\"25838933\", alpha=\"0.18\", expect_size=\"7751680\"] \n  10 -> 21 [size =\"7751680\"]\n  11 [size=\"103543467\", alpha=\"0.05\", expect_size=\"31063040\"] \n  11 -> 29 [size =\"31063040\"]\n  12 [size=\"152883200\", alpha=\"0.14\", expect_size=\"45864960\"] \n  12 -> 24 [size =\"45864960\"]\n  12 -> 28 [size =\"45864960\"]\n  12 -> 29 [size =\"45864960\"]\n  13 [size=\"88576000\", alpha=\"0.19\", expect_size=\"26572800\"] \n  13 -> 24 [size =\"26572800\"]\n  13 -> 28 [size =\"26572800\"]\n  13 -> 29 [size =\"26572800\"]\n  14 [size=\"100795733\", alpha=\"0.16\", expect_size=\"30238720\"] \n  14 -> 22 [size =\"30238720\"]\n  14 -> 26 [size =\"30238720\"]\n  14 -> 27 [size =\"30238720\"]\n  14 -> 28 [size =\"30238720\"]\n  15 [size=\"147613013\", alpha=\"0.05\", expect_size=\"44283904\"] \n  15 -> 22 [size =\"44283904\"]\n  15 -> 26 [size =\"44283904\"]\n  16 [size=\"74707627\", alpha=\"0.16\", expect_size=\"22412288\"] \n  16 -> 22 [size =\"22412288\"]\n  16 -> 23 [size =\"22412288\"]\n  16 -> 29 [size =\"22412288\"]\n  17 [size=\"112547840\", alpha=\"0.17\", expect_size=\"33764352\"] \n  17 -> 23 [size =\"33764352\"]\n  17 -> 24 [size =\"33764352\"]\n  17 -> 28 [size =\"33764352\"]\n  17 -> 29 [size =\"33764352\"]\n  18 [size=\"118517760\", alpha=\"0.07\", expect_size=\"35555328\"] \n  18 -> 22 [size =\"35555328\"]\n  18 -> 23 [size =\"35555328\"]\n  18 -> 25 [size =\"35555328\"]\n  18 -> 26 [size =\"35555328\"]\n  19 [size=\"18397867\", alpha=\"0.08\", expect_size=\"5519360\"] \n  19 -> 22 [size =\"5519360\"]\n  19 -> 26 [size =\"5519360\"]\n  19 -> 27 [size =\"5519360\"]\n  19 -> 28 [size =\"5519360\"]\n  19 -> 29 [size =\"5519360\"]\n  20 [size=\"80360107\", alpha=\"0.09\", expect_size=\"24108032\"] \n  20 -> 22 [size =\"24108032\"]\n  20 -> 25 [size =\"24108032\"]\n  20 -> 27 [size =\"24108032\"]\n  20 -> 28 [size =\"24108032\"]\n  21 [size=\"61108907\", alpha=\"0.17\", expect_size=\"18332672\"] \n  22 [size=\"102925653\", alpha=\"0.02\", expect_size=\"30877696\"] \n  23 [size=\"57442987\", alpha=\"0.10\", expect_size=\"17232896\"] \n  24 [size=\"52507307\", alpha=\"0.05\", expect_size=\"15752192\"] \n  24 -> 30 [size =\"15752192\"]\n  25 [size=\"24920747\", alpha=\"0.16\", expect_size=\"7476224\"] \n  25 -> 30 [size =\"7476224\"]\n  26 [size=\"67802453\", alpha=\"0.14\", expect_size=\"20340736\"] \n  26 -> 30 [size =\"20340736\"]\n  27 [size=\"32812373\", alpha=\"0.19\", expect_size=\"9843712\"] \n  27 -> 30 [size =\"9843712\"]\n  28 [size=\"166557013\", alpha=\"0.18\", expect_size=\"49967104\"] \n  29 [size=\"67310933\", alpha=\"0.14\", expect_size=\"20193280\"] \n  30 [size=\"134065493\", alpha=\"0.11\", expect_size=\"40219648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62760960\", alpha=\"0.04\", expect_size=\"31380480\"] \n  1 -> 5 [size =\"31380480\"]\n  1 -> 6 [size =\"31380480\"]\n  2 [size=\"65148928\", alpha=\"0.19\", expect_size=\"32574464\"] \n  2 -> 6 [size =\"32574464\"]\n  2 -> 7 [size =\"32574464\"]\n  3 [size=\"42237952\", alpha=\"0.12\", expect_size=\"21118976\"] \n  3 -> 6 [size =\"21118976\"]\n  4 [size=\"55160832\", alpha=\"0.04\", expect_size=\"27580416\"] \n  4 -> 5 [size =\"27580416\"]\n  4 -> 8 [size =\"27580416\"]\n  5 [size=\"24266752\", alpha=\"0.04\", expect_size=\"12133376\"] \n  5 -> 9 [size =\"12133376\"]\n  5 -> 11 [size =\"12133376\"]\n  5 -> 12 [size =\"12133376\"]\n  6 [size=\"39825408\", alpha=\"0.04\", expect_size=\"19912704\"] \n  6 -> 9 [size =\"19912704\"]\n  6 -> 11 [size =\"19912704\"]\n  6 -> 12 [size =\"19912704\"]\n  7 [size=\"51404800\", alpha=\"0.10\", expect_size=\"25702400\"] \n  7 -> 10 [size =\"25702400\"]\n  7 -> 13 [size =\"25702400\"]\n  8 [size=\"74465280\", alpha=\"0.19\", expect_size=\"37232640\"] \n  8 -> 9 [size =\"37232640\"]\n  8 -> 11 [size =\"37232640\"]\n  8 -> 13 [size =\"37232640\"]\n  9 [size=\"101398528\", alpha=\"0.12\", expect_size=\"50699264\"] \n  9 -> 15 [size =\"50699264\"]\n  9 -> 17 [size =\"50699264\"]\n  9 -> 18 [size =\"50699264\"]\n  10 [size=\"32126976\", alpha=\"0.12\", expect_size=\"16063488\"] \n  10 -> 15 [size =\"16063488\"]\n  10 -> 16 [size =\"16063488\"]\n  10 -> 18 [size =\"16063488\"]\n  11 [size=\"70178816\", alpha=\"0.08\", expect_size=\"35089408\"] \n  11 -> 15 [size =\"35089408\"]\n  11 -> 16 [size =\"35089408\"]\n  11 -> 18 [size =\"35089408\"]\n  12 [size=\"89927680\", alpha=\"0.05\", expect_size=\"44963840\"] \n  12 -> 14 [size =\"44963840\"]\n  12 -> 17 [size =\"44963840\"]\n  13 [size=\"85702656\", alpha=\"0.20\", expect_size=\"42851328\"] \n  13 -> 14 [size =\"42851328\"]\n  13 -> 15 [size =\"42851328\"]\n  13 -> 17 [size =\"42851328\"]\n  14 [size=\"49711104\", alpha=\"0.08\", expect_size=\"24855552\"] \n  14 -> 20 [size =\"24855552\"]\n  15 [size=\"70703104\", alpha=\"0.05\", expect_size=\"35351552\"] \n  16 [size=\"89151488\", alpha=\"0.05\", expect_size=\"44575744\"] \n  17 [size=\"15360000\", alpha=\"0.10\", expect_size=\"7680000\"] \n  17 -> 20 [size =\"7680000\"]\n  17 -> 21 [size =\"7680000\"]\n  18 [size=\"64131072\", alpha=\"0.02\", expect_size=\"32065536\"] \n  18 -> 19 [size =\"32065536\"]\n  18 -> 21 [size =\"32065536\"]\n  18 -> 22 [size =\"32065536\"]\n  19 [size=\"59901952\", alpha=\"0.07\", expect_size=\"29950976\"] \n  19 -> 23 [size =\"29950976\"]\n  19 -> 24 [size =\"29950976\"]\n  19 -> 25 [size =\"29950976\"]\n  20 [size=\"21149696\", alpha=\"0.17\", expect_size=\"10574848\"] \n  20 -> 24 [size =\"10574848\"]\n  20 -> 25 [size =\"10574848\"]\n  20 -> 26 [size =\"10574848\"]\n  21 [size=\"80121856\", alpha=\"0.19\", expect_size=\"40060928\"] \n  21 -> 23 [size =\"40060928\"]\n  21 -> 24 [size =\"40060928\"]\n  21 -> 25 [size =\"40060928\"]\n  22 [size=\"22083584\", alpha=\"0.13\", expect_size=\"11041792\"] \n  23 [size=\"47063040\", alpha=\"0.13\", expect_size=\"23531520\"] \n  23 -> 27 [size =\"23531520\"]\n  24 [size=\"45242368\", alpha=\"0.02\", expect_size=\"22621184\"] \n  24 -> 29 [size =\"22621184\"]\n  25 [size=\"83212288\", alpha=\"0.15\", expect_size=\"41606144\"] \n  26 [size=\"12398592\", alpha=\"0.14\", expect_size=\"6199296\"] \n  26 -> 28 [size =\"6199296\"]\n  27 [size=\"35459072\", alpha=\"0.01\", expect_size=\"17729536\"] \n  27 -> 30 [size =\"17729536\"]\n  28 [size=\"82225152\", alpha=\"0.02\", expect_size=\"41112576\"] \n  28 -> 30 [size =\"41112576\"]\n  29 [size=\"93288448\", alpha=\"0.02\", expect_size=\"46644224\"] \n  29 -> 30 [size =\"46644224\"]\n  30 [size=\"29724672\", alpha=\"0.07\", expect_size=\"14862336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43667456\", alpha=\"0.18\", expect_size=\"21833728\"] \n  1 -> 2 [size =\"21833728\"]\n  2 [size=\"61863936\", alpha=\"0.01\", expect_size=\"30931968\"] \n  2 -> 3 [size =\"30931968\"]\n  3 [size=\"40155136\", alpha=\"0.11\", expect_size=\"20077568\"] \n  3 -> 4 [size =\"20077568\"]\n  4 [size=\"55734272\", alpha=\"0.05\", expect_size=\"27867136\"] \n  4 -> 5 [size =\"27867136\"]\n  5 [size=\"93800448\", alpha=\"0.17\", expect_size=\"46900224\"] \n  5 -> 6 [size =\"46900224\"]\n  6 [size=\"76828672\", alpha=\"0.16\", expect_size=\"38414336\"] \n  6 -> 7 [size =\"38414336\"]\n  7 [size=\"29890560\", alpha=\"0.07\", expect_size=\"14945280\"] \n  7 -> 8 [size =\"14945280\"]\n  8 [size=\"57415680\", alpha=\"0.19\", expect_size=\"28707840\"] \n  8 -> 9 [size =\"28707840\"]\n  9 [size=\"15351808\", alpha=\"0.03\", expect_size=\"7675904\"] \n  9 -> 10 [size =\"7675904\"]\n  10 [size=\"95995904\", alpha=\"0.17\", expect_size=\"47997952\"] \n  10 -> 11 [size =\"47997952\"]\n  11 [size=\"30621696\", alpha=\"0.14\", expect_size=\"15310848\"] \n  11 -> 12 [size =\"15310848\"]\n  12 [size=\"22978560\", alpha=\"0.06\", expect_size=\"11489280\"] \n  12 -> 13 [size =\"11489280\"]\n  13 [size=\"28004352\", alpha=\"0.14\", expect_size=\"14002176\"] \n  13 -> 14 [size =\"14002176\"]\n  14 [size=\"79591424\", alpha=\"0.00\", expect_size=\"39795712\"] \n  14 -> 15 [size =\"39795712\"]\n  15 [size=\"11155456\", alpha=\"0.00\", expect_size=\"5577728\"] \n  15 -> 16 [size =\"5577728\"]\n  16 [size=\"89815040\", alpha=\"0.03\", expect_size=\"44907520\"] \n  16 -> 17 [size =\"44907520\"]\n  17 [size=\"72361984\", alpha=\"0.11\", expect_size=\"36180992\"] \n  17 -> 18 [size =\"36180992\"]\n  18 [size=\"12021760\", alpha=\"0.09\", expect_size=\"6010880\"] \n  18 -> 19 [size =\"6010880\"]\n  19 [size=\"102703104\", alpha=\"0.16\", expect_size=\"51351552\"] \n  19 -> 20 [size =\"51351552\"]\n  20 [size=\"21194752\", alpha=\"0.16\", expect_size=\"10597376\"] \n  20 -> 21 [size =\"10597376\"]\n  21 [size=\"100122624\", alpha=\"0.02\", expect_size=\"50061312\"] \n  21 -> 22 [size =\"50061312\"]\n  22 [size=\"70944768\", alpha=\"0.20\", expect_size=\"35472384\"] \n  22 -> 23 [size =\"35472384\"]\n  23 [size=\"101027840\", alpha=\"0.03\", expect_size=\"50513920\"] \n  23 -> 24 [size =\"50513920\"]\n  24 [size=\"73021440\", alpha=\"0.17\", expect_size=\"36510720\"] \n  24 -> 25 [size =\"36510720\"]\n  25 [size=\"74524672\", alpha=\"0.08\", expect_size=\"37262336\"] \n  25 -> 26 [size =\"37262336\"]\n  26 [size=\"75417600\", alpha=\"0.13\", expect_size=\"37708800\"] \n  26 -> 27 [size =\"37708800\"]\n  27 [size=\"88313856\", alpha=\"0.02\", expect_size=\"44156928\"] \n  27 -> 28 [size =\"44156928\"]\n  28 [size=\"47749120\", alpha=\"0.01\", expect_size=\"23874560\"] \n  28 -> 29 [size =\"23874560\"]\n  29 [size=\"90929152\", alpha=\"0.02\", expect_size=\"45464576\"] \n  29 -> 30 [size =\"45464576\"]\n  30 [size=\"71761920\", alpha=\"0.20\", expect_size=\"35880960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66488320\", alpha=\"0.18\", expect_size=\"33244160\"] \n  1 -> 2 [size =\"33244160\"]\n  2 [size=\"47532032\", alpha=\"0.18\", expect_size=\"23766016\"] \n  2 -> 3 [size =\"23766016\"]\n  3 [size=\"20410368\", alpha=\"0.09\", expect_size=\"10205184\"] \n  3 -> 4 [size =\"10205184\"]\n  4 [size=\"46565376\", alpha=\"0.14\", expect_size=\"23282688\"] \n  4 -> 5 [size =\"23282688\"]\n  5 [size=\"20924416\", alpha=\"0.18\", expect_size=\"10462208\"] \n  5 -> 6 [size =\"10462208\"]\n  6 [size=\"96854016\", alpha=\"0.15\", expect_size=\"48427008\"] \n  6 -> 7 [size =\"48427008\"]\n  7 [size=\"52733952\", alpha=\"0.02\", expect_size=\"26366976\"] \n  7 -> 8 [size =\"26366976\"]\n  8 [size=\"46872576\", alpha=\"0.12\", expect_size=\"23436288\"] \n  8 -> 9 [size =\"23436288\"]\n  9 [size=\"27834368\", alpha=\"0.15\", expect_size=\"13917184\"] \n  9 -> 10 [size =\"13917184\"]\n  10 [size=\"53893120\", alpha=\"0.13\", expect_size=\"26946560\"] \n  10 -> 11 [size =\"26946560\"]\n  11 [size=\"95182848\", alpha=\"0.08\", expect_size=\"47591424\"] \n  11 -> 12 [size =\"47591424\"]\n  12 [size=\"83494912\", alpha=\"0.12\", expect_size=\"41747456\"] \n  12 -> 13 [size =\"41747456\"]\n  13 [size=\"72118272\", alpha=\"0.05\", expect_size=\"36059136\"] \n  13 -> 14 [size =\"36059136\"]\n  14 [size=\"21559296\", alpha=\"0.11\", expect_size=\"10779648\"] \n  14 -> 15 [size =\"10779648\"]\n  15 [size=\"88875008\", alpha=\"0.06\", expect_size=\"44437504\"] \n  15 -> 16 [size =\"44437504\"]\n  16 [size=\"77373440\", alpha=\"0.12\", expect_size=\"38686720\"] \n  16 -> 17 [size =\"38686720\"]\n  17 [size=\"51542016\", alpha=\"0.12\", expect_size=\"25771008\"] \n  17 -> 18 [size =\"25771008\"]\n  18 [size=\"60987392\", alpha=\"0.14\", expect_size=\"30493696\"] \n  18 -> 19 [size =\"30493696\"]\n  19 [size=\"24352768\", alpha=\"0.14\", expect_size=\"12176384\"] \n  19 -> 20 [size =\"12176384\"]\n  20 [size=\"95447040\", alpha=\"0.15\", expect_size=\"47723520\"] \n  20 -> 21 [size =\"47723520\"]\n  21 [size=\"62220288\", alpha=\"0.07\", expect_size=\"31110144\"] \n  21 -> 22 [size =\"31110144\"]\n  22 [size=\"101478400\", alpha=\"0.08\", expect_size=\"50739200\"] \n  22 -> 23 [size =\"50739200\"]\n  23 [size=\"63778816\", alpha=\"0.11\", expect_size=\"31889408\"] \n  23 -> 24 [size =\"31889408\"]\n  24 [size=\"88967168\", alpha=\"0.01\", expect_size=\"44483584\"] \n  24 -> 25 [size =\"44483584\"]\n  25 [size=\"45049856\", alpha=\"0.13\", expect_size=\"22524928\"] \n  25 -> 26 [size =\"22524928\"]\n  26 [size=\"72448000\", alpha=\"0.04\", expect_size=\"36224000\"] \n  26 -> 27 [size =\"36224000\"]\n  27 [size=\"35086336\", alpha=\"0.04\", expect_size=\"17543168\"] \n  27 -> 28 [size =\"17543168\"]\n  28 [size=\"93276160\", alpha=\"0.11\", expect_size=\"46638080\"] \n  28 -> 29 [size =\"46638080\"]\n  29 [size=\"64811008\", alpha=\"0.03\", expect_size=\"32405504\"] \n  29 -> 30 [size =\"32405504\"]\n  30 [size=\"36411392\", alpha=\"0.03\", expect_size=\"18205696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94623744\", alpha=\"0.05\", expect_size=\"47311872\"] \n  1 -> 3 [size =\"47311872\"]\n  1 -> 4 [size =\"47311872\"]\n  1 -> 5 [size =\"47311872\"]\n  2 [size=\"15757312\", alpha=\"0.15\", expect_size=\"7878656\"] \n  2 -> 3 [size =\"7878656\"]\n  2 -> 4 [size =\"7878656\"]\n  3 [size=\"38033408\", alpha=\"0.14\", expect_size=\"19016704\"] \n  3 -> 10 [size =\"19016704\"]\n  3 -> 12 [size =\"19016704\"]\n  4 [size=\"16656384\", alpha=\"0.04\", expect_size=\"8328192\"] \n  4 -> 8 [size =\"8328192\"]\n  4 -> 9 [size =\"8328192\"]\n  4 -> 10 [size =\"8328192\"]\n  4 -> 11 [size =\"8328192\"]\n  5 [size=\"65892352\", alpha=\"0.18\", expect_size=\"32946176\"] \n  5 -> 6 [size =\"32946176\"]\n  5 -> 7 [size =\"32946176\"]\n  5 -> 11 [size =\"32946176\"]\n  5 -> 12 [size =\"32946176\"]\n  6 [size=\"61921280\", alpha=\"0.12\", expect_size=\"30960640\"] \n  7 [size=\"29362176\", alpha=\"0.02\", expect_size=\"14681088\"] \n  7 -> 14 [size =\"14681088\"]\n  8 [size=\"17012736\", alpha=\"0.03\", expect_size=\"8506368\"] \n  8 -> 14 [size =\"8506368\"]\n  9 [size=\"41932800\", alpha=\"0.04\", expect_size=\"20966400\"] \n  9 -> 14 [size =\"20966400\"]\n  10 [size=\"29693952\", alpha=\"0.19\", expect_size=\"14846976\"] \n  10 -> 14 [size =\"14846976\"]\n  11 [size=\"93247488\", alpha=\"0.14\", expect_size=\"46623744\"] \n  11 -> 13 [size =\"46623744\"]\n  12 [size=\"23990272\", alpha=\"0.10\", expect_size=\"11995136\"] \n  13 [size=\"96278528\", alpha=\"0.19\", expect_size=\"48139264\"] \n  13 -> 15 [size =\"48139264\"]\n  13 -> 17 [size =\"48139264\"]\n  13 -> 18 [size =\"48139264\"]\n  14 [size=\"68771840\", alpha=\"0.01\", expect_size=\"34385920\"] \n  14 -> 16 [size =\"34385920\"]\n  14 -> 17 [size =\"34385920\"]\n  14 -> 18 [size =\"34385920\"]\n  14 -> 19 [size =\"34385920\"]\n  14 -> 20 [size =\"34385920\"]\n  15 [size=\"87089152\", alpha=\"0.15\", expect_size=\"43544576\"] \n  15 -> 21 [size =\"43544576\"]\n  15 -> 23 [size =\"43544576\"]\n  16 [size=\"78927872\", alpha=\"0.03\", expect_size=\"39463936\"] \n  17 [size=\"40790016\", alpha=\"0.01\", expect_size=\"20395008\"] \n  17 -> 23 [size =\"20395008\"]\n  18 [size=\"47869952\", alpha=\"0.08\", expect_size=\"23934976\"] \n  18 -> 21 [size =\"23934976\"]\n  18 -> 22 [size =\"23934976\"]\n  18 -> 23 [size =\"23934976\"]\n  19 [size=\"63451136\", alpha=\"0.13\", expect_size=\"31725568\"] \n  19 -> 21 [size =\"31725568\"]\n  19 -> 22 [size =\"31725568\"]\n  20 [size=\"84389888\", alpha=\"0.01\", expect_size=\"42194944\"] \n  20 -> 21 [size =\"42194944\"]\n  20 -> 22 [size =\"42194944\"]\n  20 -> 23 [size =\"42194944\"]\n  21 [size=\"77424640\", alpha=\"0.07\", expect_size=\"38712320\"] \n  21 -> 24 [size =\"38712320\"]\n  21 -> 25 [size =\"38712320\"]\n  21 -> 27 [size =\"38712320\"]\n  21 -> 29 [size =\"38712320\"]\n  22 [size=\"48918528\", alpha=\"0.14\", expect_size=\"24459264\"] \n  22 -> 25 [size =\"24459264\"]\n  22 -> 29 [size =\"24459264\"]\n  23 [size=\"95176704\", alpha=\"0.07\", expect_size=\"47588352\"] \n  23 -> 25 [size =\"47588352\"]\n  23 -> 26 [size =\"47588352\"]\n  23 -> 28 [size =\"47588352\"]\n  24 [size=\"92356608\", alpha=\"0.01\", expect_size=\"46178304\"] \n  24 -> 30 [size =\"46178304\"]\n  25 [size=\"97933312\", alpha=\"0.07\", expect_size=\"48966656\"] \n  26 [size=\"73588736\", alpha=\"0.03\", expect_size=\"36794368\"] \n  27 [size=\"85596160\", alpha=\"0.04\", expect_size=\"42798080\"] \n  28 [size=\"91940864\", alpha=\"0.06\", expect_size=\"45970432\"] \n  29 [size=\"35708928\", alpha=\"0.15\", expect_size=\"17854464\"] \n  30 [size=\"96880640\", alpha=\"0.08\", expect_size=\"48440320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105263787\", alpha=\"0.06\", expect_size=\"31579136\"] \n  1 -> 2 [size =\"31579136\"]\n  2 [size=\"106827093\", alpha=\"0.00\", expect_size=\"32048128\"] \n  2 -> 3 [size =\"32048128\"]\n  3 [size=\"43294720\", alpha=\"0.15\", expect_size=\"12988416\"] \n  3 -> 4 [size =\"12988416\"]\n  4 [size=\"121797973\", alpha=\"0.01\", expect_size=\"36539392\"] \n  4 -> 5 [size =\"36539392\"]\n  5 [size=\"102239573\", alpha=\"0.18\", expect_size=\"30671872\"] \n  5 -> 6 [size =\"30671872\"]\n  6 [size=\"144773120\", alpha=\"0.10\", expect_size=\"43431936\"] \n  6 -> 7 [size =\"43431936\"]\n  7 [size=\"80039253\", alpha=\"0.00\", expect_size=\"24011776\"] \n  7 -> 8 [size =\"24011776\"]\n  8 [size=\"36860587\", alpha=\"0.16\", expect_size=\"11058176\"] \n  8 -> 9 [size =\"11058176\"]\n  9 [size=\"159525547\", alpha=\"0.07\", expect_size=\"47857664\"] \n  9 -> 10 [size =\"47857664\"]\n  10 [size=\"19701760\", alpha=\"0.03\", expect_size=\"5910528\"] \n  10 -> 11 [size =\"5910528\"]\n  11 [size=\"127754240\", alpha=\"0.04\", expect_size=\"38326272\"] \n  11 -> 12 [size =\"38326272\"]\n  12 [size=\"171117227\", alpha=\"0.09\", expect_size=\"51335168\"] \n  12 -> 13 [size =\"51335168\"]\n  13 [size=\"173059413\", alpha=\"0.12\", expect_size=\"51917824\"] \n  13 -> 14 [size =\"51917824\"]\n  14 [size=\"137489067\", alpha=\"0.05\", expect_size=\"41246720\"] \n  14 -> 15 [size =\"41246720\"]\n  15 [size=\"146401280\", alpha=\"0.09\", expect_size=\"43920384\"] \n  15 -> 16 [size =\"43920384\"]\n  16 [size=\"134379520\", alpha=\"0.11\", expect_size=\"40313856\"] \n  16 -> 17 [size =\"40313856\"]\n  17 [size=\"54524587\", alpha=\"0.13\", expect_size=\"16357376\"] \n  17 -> 18 [size =\"16357376\"]\n  18 [size=\"55562240\", alpha=\"0.20\", expect_size=\"16668672\"] \n  18 -> 19 [size =\"16668672\"]\n  19 [size=\"27508053\", alpha=\"0.14\", expect_size=\"8252416\"] \n  19 -> 20 [size =\"8252416\"]\n  20 [size=\"85906773\", alpha=\"0.04\", expect_size=\"25772032\"] \n  20 -> 21 [size =\"25772032\"]\n  21 [size=\"105656320\", alpha=\"0.06\", expect_size=\"31696896\"] \n  21 -> 22 [size =\"31696896\"]\n  22 [size=\"134823253\", alpha=\"0.19\", expect_size=\"40446976\"] \n  22 -> 23 [size =\"40446976\"]\n  23 [size=\"46851413\", alpha=\"0.15\", expect_size=\"14055424\"] \n  23 -> 24 [size =\"14055424\"]\n  24 [size=\"144418133\", alpha=\"0.04\", expect_size=\"43325440\"] \n  24 -> 25 [size =\"43325440\"]\n  25 [size=\"24644267\", alpha=\"0.05\", expect_size=\"7393280\"] \n  25 -> 26 [size =\"7393280\"]\n  26 [size=\"95180800\", alpha=\"0.01\", expect_size=\"28554240\"] \n  26 -> 27 [size =\"28554240\"]\n  27 [size=\"24982187\", alpha=\"0.06\", expect_size=\"7494656\"] \n  27 -> 28 [size =\"7494656\"]\n  28 [size=\"124016640\", alpha=\"0.12\", expect_size=\"37204992\"] \n  28 -> 29 [size =\"37204992\"]\n  29 [size=\"122620587\", alpha=\"0.17\", expect_size=\"36786176\"] \n  29 -> 30 [size =\"36786176\"]\n  30 [size=\"73833813\", alpha=\"0.03\", expect_size=\"22150144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130706773\", alpha=\"0.16\", expect_size=\"39212032\"] \n  1 -> 3 [size =\"39212032\"]\n  2 [size=\"18677760\", alpha=\"0.04\", expect_size=\"5603328\"] \n  2 -> 4 [size =\"5603328\"]\n  3 [size=\"165150720\", alpha=\"0.16\", expect_size=\"49545216\"] \n  4 [size=\"90036907\", alpha=\"0.18\", expect_size=\"27011072\"] \n  4 -> 5 [size =\"27011072\"]\n  5 [size=\"142827520\", alpha=\"0.09\", expect_size=\"42848256\"] \n  5 -> 6 [size =\"42848256\"]\n  6 [size=\"165850453\", alpha=\"0.11\", expect_size=\"49755136\"] \n  6 -> 7 [size =\"49755136\"]\n  6 -> 8 [size =\"49755136\"]\n  7 [size=\"25504427\", alpha=\"0.05\", expect_size=\"7651328\"] \n  7 -> 9 [size =\"7651328\"]\n  7 -> 10 [size =\"7651328\"]\n  8 [size=\"87463253\", alpha=\"0.10\", expect_size=\"26238976\"] \n  9 [size=\"58180267\", alpha=\"0.02\", expect_size=\"17454080\"] \n  10 [size=\"114172587\", alpha=\"0.09\", expect_size=\"34251776\"] \n  10 -> 11 [size =\"34251776\"]\n  11 [size=\"97239040\", alpha=\"0.10\", expect_size=\"29171712\"] \n  11 -> 12 [size =\"29171712\"]\n  12 [size=\"64832853\", alpha=\"0.10\", expect_size=\"19449856\"] \n  12 -> 13 [size =\"19449856\"]\n  13 [size=\"97826133\", alpha=\"0.06\", expect_size=\"29347840\"] \n  13 -> 14 [size =\"29347840\"]\n  14 [size=\"64081920\", alpha=\"0.01\", expect_size=\"19224576\"] \n  14 -> 15 [size =\"19224576\"]\n  14 -> 16 [size =\"19224576\"]\n  15 [size=\"48186027\", alpha=\"0.07\", expect_size=\"14455808\"] \n  15 -> 18 [size =\"14455808\"]\n  16 [size=\"116531200\", alpha=\"0.01\", expect_size=\"34959360\"] \n  16 -> 17 [size =\"34959360\"]\n  17 [size=\"44492800\", alpha=\"0.10\", expect_size=\"13347840\"] \n  18 [size=\"81967787\", alpha=\"0.09\", expect_size=\"24590336\"] \n  18 -> 19 [size =\"24590336\"]\n  19 [size=\"158740480\", alpha=\"0.16\", expect_size=\"47622144\"] \n  19 -> 20 [size =\"47622144\"]\n  20 [size=\"174561280\", alpha=\"0.11\", expect_size=\"52368384\"] \n  20 -> 21 [size =\"52368384\"]\n  21 [size=\"90494293\", alpha=\"0.19\", expect_size=\"27148288\"] \n  21 -> 22 [size =\"27148288\"]\n  21 -> 23 [size =\"27148288\"]\n  22 [size=\"166232747\", alpha=\"0.08\", expect_size=\"49869824\"] \n  22 -> 24 [size =\"49869824\"]\n  23 [size=\"88371200\", alpha=\"0.16\", expect_size=\"26511360\"] \n  24 [size=\"137376427\", alpha=\"0.13\", expect_size=\"41212928\"] \n  24 -> 25 [size =\"41212928\"]\n  24 -> 26 [size =\"41212928\"]\n  25 [size=\"142394027\", alpha=\"0.05\", expect_size=\"42718208\"] \n  26 [size=\"41069227\", alpha=\"0.17\", expect_size=\"12320768\"] \n  26 -> 27 [size =\"12320768\"]\n  27 [size=\"45810347\", alpha=\"0.10\", expect_size=\"13743104\"] \n  27 -> 28 [size =\"13743104\"]\n  28 [size=\"125242027\", alpha=\"0.11\", expect_size=\"37572608\"] \n  28 -> 29 [size =\"37572608\"]\n  29 [size=\"38618453\", alpha=\"0.18\", expect_size=\"11585536\"] \n  29 -> 30 [size =\"11585536\"]\n  30 [size=\"168287573\", alpha=\"0.17\", expect_size=\"50486272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30672896\", alpha=\"0.19\", expect_size=\"15336448\"] \n  1 -> 27 [size =\"15336448\"]\n  1 -> 28 [size =\"15336448\"]\n  1 -> 29 [size =\"15336448\"]\n  1 -> 30 [size =\"15336448\"]\n  2 [size=\"102174720\", alpha=\"0.19\", expect_size=\"51087360\"] \n  2 -> 29 [size =\"51087360\"]\n  3 [size=\"77674496\", alpha=\"0.06\", expect_size=\"38837248\"] \n  3 -> 27 [size =\"38837248\"]\n  3 -> 29 [size =\"38837248\"]\n  3 -> 30 [size =\"38837248\"]\n  4 [size=\"11669504\", alpha=\"0.01\", expect_size=\"5834752\"] \n  4 -> 30 [size =\"5834752\"]\n  5 [size=\"31655936\", alpha=\"0.06\", expect_size=\"15827968\"] \n  5 -> 26 [size =\"15827968\"]\n  5 -> 30 [size =\"15827968\"]\n  6 [size=\"22837248\", alpha=\"0.13\", expect_size=\"11418624\"] \n  6 -> 27 [size =\"11418624\"]\n  6 -> 28 [size =\"11418624\"]\n  6 -> 29 [size =\"11418624\"]\n  6 -> 30 [size =\"11418624\"]\n  7 [size=\"57464832\", alpha=\"0.02\", expect_size=\"28732416\"] \n  7 -> 28 [size =\"28732416\"]\n  7 -> 29 [size =\"28732416\"]\n  7 -> 29 [size =\"28732416\"]\n  7 -> 30 [size =\"28732416\"]\n  8 [size=\"80732160\", alpha=\"0.09\", expect_size=\"40366080\"] \n  8 -> 27 [size =\"40366080\"]\n  8 -> 28 [size =\"40366080\"]\n  8 -> 29 [size =\"40366080\"]\n  8 -> 30 [size =\"40366080\"]\n  9 [size=\"50749440\", alpha=\"0.02\", expect_size=\"25374720\"] \n  9 -> 26 [size =\"25374720\"]\n  9 -> 27 [size =\"25374720\"]\n  9 -> 29 [size =\"25374720\"]\n  9 -> 30 [size =\"25374720\"]\n  10 [size=\"96823296\", alpha=\"0.17\", expect_size=\"48411648\"] \n  10 -> 27 [size =\"48411648\"]\n  10 -> 27 [size =\"48411648\"]\n  10 -> 29 [size =\"48411648\"]\n  10 -> 30 [size =\"48411648\"]\n  11 [size=\"24743936\", alpha=\"0.06\", expect_size=\"12371968\"] \n  11 -> 26 [size =\"12371968\"]\n  11 -> 27 [size =\"12371968\"]\n  11 -> 29 [size =\"12371968\"]\n  11 -> 30 [size =\"12371968\"]\n  12 [size=\"21639168\", alpha=\"0.03\", expect_size=\"10819584\"] \n  12 -> 27 [size =\"10819584\"]\n  12 -> 27 [size =\"10819584\"]\n  12 -> 28 [size =\"10819584\"]\n  12 -> 29 [size =\"10819584\"]\n  12 -> 30 [size =\"10819584\"]\n  13 [size=\"15495168\", alpha=\"0.19\", expect_size=\"7747584\"] \n  13 -> 26 [size =\"7747584\"]\n  13 -> 27 [size =\"7747584\"]\n  13 -> 28 [size =\"7747584\"]\n  13 -> 29 [size =\"7747584\"]\n  13 -> 30 [size =\"7747584\"]\n  14 [size=\"45000704\", alpha=\"0.02\", expect_size=\"22500352\"] \n  14 -> 27 [size =\"22500352\"]\n  14 -> 27 [size =\"22500352\"]\n  14 -> 28 [size =\"22500352\"]\n  14 -> 30 [size =\"22500352\"]\n  14 -> 30 [size =\"22500352\"]\n  15 [size=\"51083264\", alpha=\"0.17\", expect_size=\"25541632\"] \n  15 -> 28 [size =\"25541632\"]\n  15 -> 29 [size =\"25541632\"]\n  15 -> 30 [size =\"25541632\"]\n  16 [size=\"77858816\", alpha=\"0.01\", expect_size=\"38929408\"] \n  17 [size=\"44636160\", alpha=\"0.11\", expect_size=\"22318080\"] \n  17 -> 30 [size =\"22318080\"]\n  18 [size=\"55003136\", alpha=\"0.16\", expect_size=\"27501568\"] \n  18 -> 26 [size =\"27501568\"]\n  18 -> 29 [size =\"27501568\"]\n  18 -> 30 [size =\"27501568\"]\n  19 [size=\"97191936\", alpha=\"0.17\", expect_size=\"48595968\"] \n  19 -> 27 [size =\"48595968\"]\n  19 -> 29 [size =\"48595968\"]\n  19 -> 30 [size =\"48595968\"]\n  20 [size=\"12296192\", alpha=\"0.17\", expect_size=\"6148096\"] \n  20 -> 26 [size =\"6148096\"]\n  20 -> 27 [size =\"6148096\"]\n  20 -> 28 [size =\"6148096\"]\n  21 [size=\"91031552\", alpha=\"0.01\", expect_size=\"45515776\"] \n  21 -> 26 [size =\"45515776\"]\n  21 -> 27 [size =\"45515776\"]\n  21 -> 28 [size =\"45515776\"]\n  21 -> 30 [size =\"45515776\"]\n  22 [size=\"25329664\", alpha=\"0.04\", expect_size=\"12664832\"] \n  22 -> 27 [size =\"12664832\"]\n  22 -> 29 [size =\"12664832\"]\n  22 -> 30 [size =\"12664832\"]\n  23 [size=\"40857600\", alpha=\"0.02\", expect_size=\"20428800\"] \n  23 -> 27 [size =\"20428800\"]\n  23 -> 28 [size =\"20428800\"]\n  23 -> 30 [size =\"20428800\"]\n  24 [size=\"34486272\", alpha=\"0.00\", expect_size=\"17243136\"] \n  24 -> 27 [size =\"17243136\"]\n  24 -> 28 [size =\"17243136\"]\n  24 -> 29 [size =\"17243136\"]\n  24 -> 30 [size =\"17243136\"]\n  25 [size=\"45635584\", alpha=\"0.03\", expect_size=\"22817792\"] \n  25 -> 30 [size =\"22817792\"]\n  26 [size=\"30382080\", alpha=\"0.08\", expect_size=\"15191040\"] \n  27 [size=\"36577280\", alpha=\"0.03\", expect_size=\"18288640\"] \n  28 [size=\"88356864\", alpha=\"0.13\", expect_size=\"44178432\"] \n  29 [size=\"67684352\", alpha=\"0.11\", expect_size=\"33842176\"] \n  30 [size=\"54214656\", alpha=\"0.08\", expect_size=\"27107328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110494720\", alpha=\"0.17\", expect_size=\"44197888\"] \n  1 -> 28 [size =\"44197888\"]\n  2 [size=\"62748160\", alpha=\"0.11\", expect_size=\"25099264\"] \n  2 -> 29 [size =\"25099264\"]\n  3 [size=\"52272640\", alpha=\"0.07\", expect_size=\"20909056\"] \n  3 -> 30 [size =\"20909056\"]\n  4 [size=\"113044480\", alpha=\"0.04\", expect_size=\"45217792\"] \n  5 [size=\"98099200\", alpha=\"0.03\", expect_size=\"39239680\"] \n  5 -> 29 [size =\"39239680\"]\n  6 [size=\"33738240\", alpha=\"0.10\", expect_size=\"13495296\"] \n  7 [size=\"32099840\", alpha=\"0.11\", expect_size=\"12839936\"] \n  8 [size=\"14128640\", alpha=\"0.09\", expect_size=\"5651456\"] \n  8 -> 27 [size =\"5651456\"]\n  8 -> 29 [size =\"5651456\"]\n  9 [size=\"57052160\", alpha=\"0.06\", expect_size=\"22820864\"] \n  9 -> 27 [size =\"22820864\"]\n  9 -> 28 [size =\"22820864\"]\n  9 -> 29 [size =\"22820864\"]\n  10 [size=\"21834240\", alpha=\"0.05\", expect_size=\"8733696\"] \n  10 -> 27 [size =\"8733696\"]\n  10 -> 29 [size =\"8733696\"]\n  11 [size=\"88890880\", alpha=\"0.08\", expect_size=\"35556352\"] \n  12 [size=\"70300160\", alpha=\"0.10\", expect_size=\"28120064\"] \n  12 -> 27 [size =\"28120064\"]\n  13 [size=\"15278080\", alpha=\"0.09\", expect_size=\"6111232\"] \n  13 -> 27 [size =\"6111232\"]\n  14 [size=\"55610880\", alpha=\"0.09\", expect_size=\"22244352\"] \n  14 -> 27 [size =\"22244352\"]\n  14 -> 28 [size =\"22244352\"]\n  15 [size=\"76879360\", alpha=\"0.12\", expect_size=\"30751744\"] \n  15 -> 27 [size =\"30751744\"]\n  16 [size=\"95948800\", alpha=\"0.04\", expect_size=\"38379520\"] \n  17 [size=\"35688960\", alpha=\"0.06\", expect_size=\"14275584\"] \n  17 -> 28 [size =\"14275584\"]\n  17 -> 29 [size =\"14275584\"]\n  17 -> 30 [size =\"14275584\"]\n  18 [size=\"98969600\", alpha=\"0.11\", expect_size=\"39587840\"] \n  18 -> 29 [size =\"39587840\"]\n  18 -> 29 [size =\"39587840\"]\n  19 [size=\"31808000\", alpha=\"0.11\", expect_size=\"12723200\"] \n  19 -> 28 [size =\"12723200\"]\n  20 [size=\"68994560\", alpha=\"0.06\", expect_size=\"27597824\"] \n  20 -> 29 [size =\"27597824\"]\n  21 [size=\"101030400\", alpha=\"0.17\", expect_size=\"40412160\"] \n  21 -> 27 [size =\"40412160\"]\n  22 [size=\"28838400\", alpha=\"0.17\", expect_size=\"11535360\"] \n  22 -> 27 [size =\"11535360\"]\n  22 -> 29 [size =\"11535360\"]\n  23 [size=\"85324800\", alpha=\"0.04\", expect_size=\"34129920\"] \n  24 [size=\"17574400\", alpha=\"0.08\", expect_size=\"7029760\"] \n  25 [size=\"67758080\", alpha=\"0.06\", expect_size=\"27103232\"] \n  25 -> 28 [size =\"27103232\"]\n  26 [size=\"18040320\", alpha=\"0.07\", expect_size=\"7216128\"] \n  26 -> 27 [size =\"7216128\"]\n  26 -> 28 [size =\"7216128\"]\n  26 -> 29 [size =\"7216128\"]\n  27 [size=\"42647040\", alpha=\"0.12\", expect_size=\"17058816\"] \n  28 [size=\"80355840\", alpha=\"0.17\", expect_size=\"32142336\"] \n  29 [size=\"25446400\", alpha=\"0.09\", expect_size=\"10178560\"] \n  30 [size=\"87943680\", alpha=\"0.03\", expect_size=\"35177472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69584896\", alpha=\"0.17\", expect_size=\"34792448\"] \n  1 -> 3 [size =\"34792448\"]\n  2 [size=\"31619072\", alpha=\"0.12\", expect_size=\"15809536\"] \n  2 -> 3 [size =\"15809536\"]\n  3 [size=\"13479936\", alpha=\"0.03\", expect_size=\"6739968\"] \n  3 -> 4 [size =\"6739968\"]\n  3 -> 5 [size =\"6739968\"]\n  4 [size=\"68466688\", alpha=\"0.15\", expect_size=\"34233344\"] \n  4 -> 6 [size =\"34233344\"]\n  4 -> 7 [size =\"34233344\"]\n  5 [size=\"36818944\", alpha=\"0.14\", expect_size=\"18409472\"] \n  5 -> 6 [size =\"18409472\"]\n  5 -> 7 [size =\"18409472\"]\n  6 [size=\"35264512\", alpha=\"0.18\", expect_size=\"17632256\"] \n  6 -> 8 [size =\"17632256\"]\n  6 -> 9 [size =\"17632256\"]\n  7 [size=\"94670848\", alpha=\"0.18\", expect_size=\"47335424\"] \n  7 -> 8 [size =\"47335424\"]\n  7 -> 9 [size =\"47335424\"]\n  8 [size=\"78628864\", alpha=\"0.07\", expect_size=\"39314432\"] \n  8 -> 10 [size =\"39314432\"]\n  9 [size=\"84795392\", alpha=\"0.04\", expect_size=\"42397696\"] \n  9 -> 10 [size =\"42397696\"]\n  10 [size=\"102891520\", alpha=\"0.15\", expect_size=\"51445760\"] \n  10 -> 11 [size =\"51445760\"]\n  10 -> 12 [size =\"51445760\"]\n  11 [size=\"70000640\", alpha=\"0.07\", expect_size=\"35000320\"] \n  11 -> 13 [size =\"35000320\"]\n  12 [size=\"57851904\", alpha=\"0.06\", expect_size=\"28925952\"] \n  12 -> 13 [size =\"28925952\"]\n  13 [size=\"18194432\", alpha=\"0.14\", expect_size=\"9097216\"] \n  13 -> 14 [size =\"9097216\"]\n  13 -> 15 [size =\"9097216\"]\n  14 [size=\"33724416\", alpha=\"0.06\", expect_size=\"16862208\"] \n  14 -> 16 [size =\"16862208\"]\n  14 -> 17 [size =\"16862208\"]\n  15 [size=\"12374016\", alpha=\"0.03\", expect_size=\"6187008\"] \n  15 -> 16 [size =\"6187008\"]\n  15 -> 17 [size =\"6187008\"]\n  16 [size=\"80046080\", alpha=\"0.19\", expect_size=\"40023040\"] \n  16 -> 18 [size =\"40023040\"]\n  17 [size=\"71290880\", alpha=\"0.01\", expect_size=\"35645440\"] \n  17 -> 18 [size =\"35645440\"]\n  18 [size=\"61714432\", alpha=\"0.06\", expect_size=\"30857216\"] \n  18 -> 19 [size =\"30857216\"]\n  19 [size=\"94488576\", alpha=\"0.16\", expect_size=\"47244288\"] \n  19 -> 20 [size =\"47244288\"]\n  20 [size=\"18425856\", alpha=\"0.04\", expect_size=\"9212928\"] \n  20 -> 21 [size =\"9212928\"]\n  21 [size=\"89626624\", alpha=\"0.04\", expect_size=\"44813312\"] \n  21 -> 22 [size =\"44813312\"]\n  21 -> 23 [size =\"44813312\"]\n  22 [size=\"27871232\", alpha=\"0.08\", expect_size=\"13935616\"] \n  23 [size=\"55748608\", alpha=\"0.13\", expect_size=\"27874304\"] \n  23 -> 24 [size =\"27874304\"]\n  24 [size=\"29218816\", alpha=\"0.11\", expect_size=\"14609408\"] \n  24 -> 25 [size =\"14609408\"]\n  24 -> 26 [size =\"14609408\"]\n  25 [size=\"55326720\", alpha=\"0.14\", expect_size=\"27663360\"] \n  26 [size=\"68253696\", alpha=\"0.02\", expect_size=\"34126848\"] \n  26 -> 27 [size =\"34126848\"]\n  26 -> 28 [size =\"34126848\"]\n  27 [size=\"65372160\", alpha=\"0.08\", expect_size=\"32686080\"] \n  27 -> 30 [size =\"32686080\"]\n  28 [size=\"69308416\", alpha=\"0.09\", expect_size=\"34654208\"] \n  28 -> 29 [size =\"34654208\"]\n  29 [size=\"97339392\", alpha=\"0.05\", expect_size=\"48669696\"] \n  30 [size=\"78635008\", alpha=\"0.01\", expect_size=\"39317504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85250048\", alpha=\"0.09\", expect_size=\"42625024\"] \n  1 -> 2 [size =\"42625024\"]\n  1 -> 3 [size =\"42625024\"]\n  2 [size=\"32663552\", alpha=\"0.08\", expect_size=\"16331776\"] \n  3 [size=\"36286464\", alpha=\"0.20\", expect_size=\"18143232\"] \n  3 -> 4 [size =\"18143232\"]\n  3 -> 5 [size =\"18143232\"]\n  4 [size=\"74639360\", alpha=\"0.03\", expect_size=\"37319680\"] \n  4 -> 6 [size =\"37319680\"]\n  4 -> 7 [size =\"37319680\"]\n  5 [size=\"64342016\", alpha=\"0.18\", expect_size=\"32171008\"] \n  5 -> 6 [size =\"32171008\"]\n  6 [size=\"36612096\", alpha=\"0.04\", expect_size=\"18306048\"] \n  7 [size=\"94996480\", alpha=\"0.17\", expect_size=\"47498240\"] \n  7 -> 8 [size =\"47498240\"]\n  7 -> 9 [size =\"47498240\"]\n  8 [size=\"34134016\", alpha=\"0.03\", expect_size=\"17067008\"] \n  8 -> 10 [size =\"17067008\"]\n  9 [size=\"60295168\", alpha=\"0.04\", expect_size=\"30147584\"] \n  10 [size=\"14727168\", alpha=\"0.14\", expect_size=\"7363584\"] \n  10 -> 11 [size =\"7363584\"]\n  11 [size=\"90591232\", alpha=\"0.18\", expect_size=\"45295616\"] \n  11 -> 12 [size =\"45295616\"]\n  11 -> 13 [size =\"45295616\"]\n  12 [size=\"36952064\", alpha=\"0.11\", expect_size=\"18476032\"] \n  12 -> 14 [size =\"18476032\"]\n  12 -> 15 [size =\"18476032\"]\n  13 [size=\"72529920\", alpha=\"0.09\", expect_size=\"36264960\"] \n  13 -> 15 [size =\"36264960\"]\n  14 [size=\"71194624\", alpha=\"0.18\", expect_size=\"35597312\"] \n  14 -> 16 [size =\"35597312\"]\n  14 -> 17 [size =\"35597312\"]\n  15 [size=\"85934080\", alpha=\"0.06\", expect_size=\"42967040\"] \n  16 [size=\"77393920\", alpha=\"0.01\", expect_size=\"38696960\"] \n  16 -> 18 [size =\"38696960\"]\n  17 [size=\"97992704\", alpha=\"0.14\", expect_size=\"48996352\"] \n  18 [size=\"81891328\", alpha=\"0.11\", expect_size=\"40945664\"] \n  18 -> 19 [size =\"40945664\"]\n  19 [size=\"93739008\", alpha=\"0.02\", expect_size=\"46869504\"] \n  19 -> 20 [size =\"46869504\"]\n  20 [size=\"17324032\", alpha=\"0.17\", expect_size=\"8662016\"] \n  20 -> 21 [size =\"8662016\"]\n  21 [size=\"83144704\", alpha=\"0.07\", expect_size=\"41572352\"] \n  21 -> 22 [size =\"41572352\"]\n  21 -> 23 [size =\"41572352\"]\n  22 [size=\"74231808\", alpha=\"0.03\", expect_size=\"37115904\"] \n  22 -> 24 [size =\"37115904\"]\n  23 [size=\"33236992\", alpha=\"0.03\", expect_size=\"16618496\"] \n  23 -> 24 [size =\"16618496\"]\n  24 [size=\"74256384\", alpha=\"0.18\", expect_size=\"37128192\"] \n  24 -> 25 [size =\"37128192\"]\n  24 -> 26 [size =\"37128192\"]\n  25 [size=\"64804864\", alpha=\"0.03\", expect_size=\"32402432\"] \n  26 [size=\"92280832\", alpha=\"0.14\", expect_size=\"46140416\"] \n  26 -> 27 [size =\"46140416\"]\n  27 [size=\"95977472\", alpha=\"0.04\", expect_size=\"47988736\"] \n  27 -> 28 [size =\"47988736\"]\n  27 -> 29 [size =\"47988736\"]\n  28 [size=\"69871616\", alpha=\"0.18\", expect_size=\"34935808\"] \n  29 [size=\"29329408\", alpha=\"0.02\", expect_size=\"14664704\"] \n  29 -> 30 [size =\"14664704\"]\n  30 [size=\"39849984\", alpha=\"0.08\", expect_size=\"19924992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101239467\", alpha=\"0.01\", expect_size=\"30371840\"] \n  1 -> 23 [size =\"30371840\"]\n  1 -> 26 [size =\"30371840\"]\n  1 -> 29 [size =\"30371840\"]\n  1 -> 30 [size =\"30371840\"]\n  1 -> 30 [size =\"30371840\"]\n  2 [size=\"143250773\", alpha=\"0.04\", expect_size=\"42975232\"] \n  2 -> 20 [size =\"42975232\"]\n  2 -> 21 [size =\"42975232\"]\n  2 -> 26 [size =\"42975232\"]\n  2 -> 30 [size =\"42975232\"]\n  3 [size=\"103741440\", alpha=\"0.07\", expect_size=\"31122432\"] \n  3 -> 21 [size =\"31122432\"]\n  3 -> 22 [size =\"31122432\"]\n  3 -> 26 [size =\"31122432\"]\n  3 -> 27 [size =\"31122432\"]\n  3 -> 29 [size =\"31122432\"]\n  4 [size=\"94231893\", alpha=\"0.08\", expect_size=\"28269568\"] \n  4 -> 21 [size =\"28269568\"]\n  4 -> 22 [size =\"28269568\"]\n  4 -> 26 [size =\"28269568\"]\n  4 -> 27 [size =\"28269568\"]\n  4 -> 29 [size =\"28269568\"]\n  4 -> 30 [size =\"28269568\"]\n  5 [size=\"45568000\", alpha=\"0.18\", expect_size=\"13670400\"] \n  5 -> 20 [size =\"13670400\"]\n  5 -> 22 [size =\"13670400\"]\n  5 -> 25 [size =\"13670400\"]\n  5 -> 26 [size =\"13670400\"]\n  5 -> 28 [size =\"13670400\"]\n  5 -> 29 [size =\"13670400\"]\n  5 -> 30 [size =\"13670400\"]\n  6 [size=\"52353707\", alpha=\"0.12\", expect_size=\"15706112\"] \n  6 -> 20 [size =\"15706112\"]\n  6 -> 22 [size =\"15706112\"]\n  6 -> 24 [size =\"15706112\"]\n  6 -> 25 [size =\"15706112\"]\n  6 -> 27 [size =\"15706112\"]\n  6 -> 28 [size =\"15706112\"]\n  7 [size=\"165007360\", alpha=\"0.17\", expect_size=\"49502208\"] \n  7 -> 21 [size =\"49502208\"]\n  7 -> 22 [size =\"49502208\"]\n  7 -> 25 [size =\"49502208\"]\n  7 -> 27 [size =\"49502208\"]\n  7 -> 29 [size =\"49502208\"]\n  8 [size=\"92644693\", alpha=\"0.17\", expect_size=\"27793408\"] \n  8 -> 22 [size =\"27793408\"]\n  8 -> 22 [size =\"27793408\"]\n  8 -> 26 [size =\"27793408\"]\n  8 -> 28 [size =\"27793408\"]\n  8 -> 29 [size =\"27793408\"]\n  8 -> 30 [size =\"27793408\"]\n  9 [size=\"47841280\", alpha=\"0.03\", expect_size=\"14352384\"] \n  9 -> 23 [size =\"14352384\"]\n  9 -> 25 [size =\"14352384\"]\n  9 -> 26 [size =\"14352384\"]\n  9 -> 29 [size =\"14352384\"]\n  9 -> 30 [size =\"14352384\"]\n  10 [size=\"144380587\", alpha=\"0.11\", expect_size=\"43314176\"] \n  10 -> 20 [size =\"43314176\"]\n  10 -> 24 [size =\"43314176\"]\n  10 -> 26 [size =\"43314176\"]\n  11 [size=\"21073920\", alpha=\"0.19\", expect_size=\"6322176\"] \n  11 -> 24 [size =\"6322176\"]\n  11 -> 27 [size =\"6322176\"]\n  11 -> 28 [size =\"6322176\"]\n  11 -> 29 [size =\"6322176\"]\n  11 -> 30 [size =\"6322176\"]\n  12 [size=\"32542720\", alpha=\"0.20\", expect_size=\"9762816\"] \n  12 -> 22 [size =\"9762816\"]\n  12 -> 24 [size =\"9762816\"]\n  12 -> 27 [size =\"9762816\"]\n  12 -> 29 [size =\"9762816\"]\n  12 -> 30 [size =\"9762816\"]\n  13 [size=\"65112747\", alpha=\"0.05\", expect_size=\"19533824\"] \n  13 -> 22 [size =\"19533824\"]\n  13 -> 27 [size =\"19533824\"]\n  13 -> 30 [size =\"19533824\"]\n  14 [size=\"123627520\", alpha=\"0.07\", expect_size=\"37088256\"] \n  14 -> 20 [size =\"37088256\"]\n  14 -> 22 [size =\"37088256\"]\n  14 -> 25 [size =\"37088256\"]\n  14 -> 26 [size =\"37088256\"]\n  14 -> 29 [size =\"37088256\"]\n  15 [size=\"25852587\", alpha=\"0.17\", expect_size=\"7755776\"] \n  15 -> 20 [size =\"7755776\"]\n  15 -> 22 [size =\"7755776\"]\n  15 -> 27 [size =\"7755776\"]\n  15 -> 28 [size =\"7755776\"]\n  15 -> 29 [size =\"7755776\"]\n  16 [size=\"163880960\", alpha=\"0.15\", expect_size=\"49164288\"] \n  16 -> 20 [size =\"49164288\"]\n  16 -> 22 [size =\"49164288\"]\n  16 -> 24 [size =\"49164288\"]\n  16 -> 26 [size =\"49164288\"]\n  16 -> 28 [size =\"49164288\"]\n  16 -> 29 [size =\"49164288\"]\n  17 [size=\"104799573\", alpha=\"0.01\", expect_size=\"31439872\"] \n  17 -> 20 [size =\"31439872\"]\n  17 -> 22 [size =\"31439872\"]\n  17 -> 25 [size =\"31439872\"]\n  17 -> 26 [size =\"31439872\"]\n  17 -> 27 [size =\"31439872\"]\n  17 -> 29 [size =\"31439872\"]\n  18 [size=\"78636373\", alpha=\"0.14\", expect_size=\"23590912\"] \n  18 -> 22 [size =\"23590912\"]\n  18 -> 22 [size =\"23590912\"]\n  18 -> 26 [size =\"23590912\"]\n  18 -> 26 [size =\"23590912\"]\n  18 -> 27 [size =\"23590912\"]\n  18 -> 28 [size =\"23590912\"]\n  18 -> 29 [size =\"23590912\"]\n  18 -> 30 [size =\"23590912\"]\n  19 [size=\"52152320\", alpha=\"0.19\", expect_size=\"15645696\"] \n  19 -> 24 [size =\"15645696\"]\n  19 -> 26 [size =\"15645696\"]\n  19 -> 26 [size =\"15645696\"]\n  19 -> 28 [size =\"15645696\"]\n  19 -> 30 [size =\"15645696\"]\n  20 [size=\"78353067\", alpha=\"0.13\", expect_size=\"23505920\"] \n  21 [size=\"165389653\", alpha=\"0.18\", expect_size=\"49616896\"] \n  22 [size=\"157013333\", alpha=\"0.18\", expect_size=\"47104000\"] \n  23 [size=\"153487360\", alpha=\"0.10\", expect_size=\"46046208\"] \n  24 [size=\"36829867\", alpha=\"0.11\", expect_size=\"11048960\"] \n  25 [size=\"93091840\", alpha=\"0.16\", expect_size=\"27927552\"] \n  26 [size=\"68369067\", alpha=\"0.06\", expect_size=\"20510720\"] \n  27 [size=\"27183787\", alpha=\"0.14\", expect_size=\"8155136\"] \n  28 [size=\"36171093\", alpha=\"0.12\", expect_size=\"10851328\"] \n  29 [size=\"143083520\", alpha=\"0.13\", expect_size=\"42925056\"] \n  30 [size=\"134290773\", alpha=\"0.11\", expect_size=\"40287232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29560320\", alpha=\"0.09\", expect_size=\"11824128\"] \n  1 -> 20 [size =\"11824128\"]\n  1 -> 22 [size =\"11824128\"]\n  1 -> 25 [size =\"11824128\"]\n  1 -> 27 [size =\"11824128\"]\n  1 -> 28 [size =\"11824128\"]\n  1 -> 29 [size =\"11824128\"]\n  1 -> 30 [size =\"11824128\"]\n  2 [size=\"100812800\", alpha=\"0.16\", expect_size=\"40325120\"] \n  2 -> 20 [size =\"40325120\"]\n  2 -> 21 [size =\"40325120\"]\n  2 -> 23 [size =\"40325120\"]\n  2 -> 24 [size =\"40325120\"]\n  2 -> 27 [size =\"40325120\"]\n  2 -> 28 [size =\"40325120\"]\n  2 -> 30 [size =\"40325120\"]\n  3 [size=\"91246080\", alpha=\"0.08\", expect_size=\"36498432\"] \n  3 -> 20 [size =\"36498432\"]\n  3 -> 21 [size =\"36498432\"]\n  3 -> 23 [size =\"36498432\"]\n  3 -> 26 [size =\"36498432\"]\n  4 [size=\"109329920\", alpha=\"0.10\", expect_size=\"43731968\"] \n  4 -> 20 [size =\"43731968\"]\n  4 -> 24 [size =\"43731968\"]\n  4 -> 26 [size =\"43731968\"]\n  4 -> 28 [size =\"43731968\"]\n  5 [size=\"32798720\", alpha=\"0.15\", expect_size=\"13119488\"] \n  5 -> 20 [size =\"13119488\"]\n  5 -> 21 [size =\"13119488\"]\n  5 -> 23 [size =\"13119488\"]\n  5 -> 24 [size =\"13119488\"]\n  5 -> 25 [size =\"13119488\"]\n  5 -> 26 [size =\"13119488\"]\n  5 -> 28 [size =\"13119488\"]\n  5 -> 30 [size =\"13119488\"]\n  6 [size=\"102397440\", alpha=\"0.19\", expect_size=\"40958976\"] \n  6 -> 20 [size =\"40958976\"]\n  6 -> 21 [size =\"40958976\"]\n  6 -> 22 [size =\"40958976\"]\n  6 -> 25 [size =\"40958976\"]\n  6 -> 27 [size =\"40958976\"]\n  6 -> 29 [size =\"40958976\"]\n  6 -> 30 [size =\"40958976\"]\n  7 [size=\"82849280\", alpha=\"0.15\", expect_size=\"33139712\"] \n  7 -> 21 [size =\"33139712\"]\n  7 -> 23 [size =\"33139712\"]\n  8 [size=\"40350720\", alpha=\"0.16\", expect_size=\"16140288\"] \n  8 -> 23 [size =\"16140288\"]\n  8 -> 25 [size =\"16140288\"]\n  8 -> 28 [size =\"16140288\"]\n  9 [size=\"27988480\", alpha=\"0.07\", expect_size=\"11195392\"] \n  10 [size=\"66360320\", alpha=\"0.09\", expect_size=\"26544128\"] \n  10 -> 20 [size =\"26544128\"]\n  10 -> 28 [size =\"26544128\"]\n  11 [size=\"71805440\", alpha=\"0.10\", expect_size=\"28722176\"] \n  11 -> 21 [size =\"28722176\"]\n  11 -> 27 [size =\"28722176\"]\n  11 -> 28 [size =\"28722176\"]\n  12 [size=\"124382720\", alpha=\"0.15\", expect_size=\"49753088\"] \n  12 -> 21 [size =\"49753088\"]\n  12 -> 22 [size =\"49753088\"]\n  12 -> 26 [size =\"49753088\"]\n  12 -> 27 [size =\"49753088\"]\n  12 -> 28 [size =\"49753088\"]\n  13 [size=\"101102080\", alpha=\"0.04\", expect_size=\"40440832\"] \n  13 -> 23 [size =\"40440832\"]\n  13 -> 25 [size =\"40440832\"]\n  13 -> 26 [size =\"40440832\"]\n  13 -> 29 [size =\"40440832\"]\n  14 [size=\"30018560\", alpha=\"0.12\", expect_size=\"12007424\"] \n  14 -> 21 [size =\"12007424\"]\n  14 -> 29 [size =\"12007424\"]\n  14 -> 30 [size =\"12007424\"]\n  15 [size=\"87751680\", alpha=\"0.10\", expect_size=\"35100672\"] \n  15 -> 25 [size =\"35100672\"]\n  15 -> 28 [size =\"35100672\"]\n  15 -> 29 [size =\"35100672\"]\n  15 -> 30 [size =\"35100672\"]\n  16 [size=\"58188800\", alpha=\"0.06\", expect_size=\"23275520\"] \n  16 -> 20 [size =\"23275520\"]\n  16 -> 23 [size =\"23275520\"]\n  16 -> 28 [size =\"23275520\"]\n  16 -> 30 [size =\"23275520\"]\n  17 [size=\"53227520\", alpha=\"0.05\", expect_size=\"21291008\"] \n  17 -> 21 [size =\"21291008\"]\n  17 -> 26 [size =\"21291008\"]\n  17 -> 27 [size =\"21291008\"]\n  18 [size=\"23800320\", alpha=\"0.07\", expect_size=\"9520128\"] \n  18 -> 20 [size =\"9520128\"]\n  18 -> 21 [size =\"9520128\"]\n  18 -> 23 [size =\"9520128\"]\n  18 -> 26 [size =\"9520128\"]\n  18 -> 30 [size =\"9520128\"]\n  19 [size=\"118522880\", alpha=\"0.10\", expect_size=\"47409152\"] \n  19 -> 21 [size =\"47409152\"]\n  19 -> 24 [size =\"47409152\"]\n  19 -> 26 [size =\"47409152\"]\n  19 -> 27 [size =\"47409152\"]\n  19 -> 28 [size =\"47409152\"]\n  19 -> 30 [size =\"47409152\"]\n  20 [size=\"43727360\", alpha=\"0.19\", expect_size=\"17490944\"] \n  21 [size=\"99304960\", alpha=\"0.10\", expect_size=\"39721984\"] \n  22 [size=\"41085440\", alpha=\"0.17\", expect_size=\"16434176\"] \n  23 [size=\"130882560\", alpha=\"0.16\", expect_size=\"52353024\"] \n  24 [size=\"38085120\", alpha=\"0.12\", expect_size=\"15234048\"] \n  25 [size=\"110937600\", alpha=\"0.12\", expect_size=\"44375040\"] \n  26 [size=\"54837760\", alpha=\"0.06\", expect_size=\"21935104\"] \n  27 [size=\"91302400\", alpha=\"0.13\", expect_size=\"36520960\"] \n  28 [size=\"119618560\", alpha=\"0.04\", expect_size=\"47847424\"] \n  29 [size=\"40107520\", alpha=\"0.17\", expect_size=\"16043008\"] \n  30 [size=\"97492480\", alpha=\"0.20\", expect_size=\"38996992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130225493\", alpha=\"0.20\", expect_size=\"39067648\"] \n  1 -> 2 [size =\"39067648\"]\n  2 [size=\"91385173\", alpha=\"0.06\", expect_size=\"27415552\"] \n  2 -> 3 [size =\"27415552\"]\n  3 [size=\"122043733\", alpha=\"0.14\", expect_size=\"36613120\"] \n  3 -> 4 [size =\"36613120\"]\n  4 [size=\"166853973\", alpha=\"0.03\", expect_size=\"50056192\"] \n  4 -> 5 [size =\"50056192\"]\n  5 [size=\"112281600\", alpha=\"0.05\", expect_size=\"33684480\"] \n  5 -> 6 [size =\"33684480\"]\n  6 [size=\"138397013\", alpha=\"0.08\", expect_size=\"41519104\"] \n  6 -> 7 [size =\"41519104\"]\n  7 [size=\"28945067\", alpha=\"0.14\", expect_size=\"8683520\"] \n  7 -> 8 [size =\"8683520\"]\n  8 [size=\"148148907\", alpha=\"0.07\", expect_size=\"44444672\"] \n  8 -> 9 [size =\"44444672\"]\n  9 [size=\"69335040\", alpha=\"0.03\", expect_size=\"20800512\"] \n  9 -> 10 [size =\"20800512\"]\n  10 [size=\"159921493\", alpha=\"0.15\", expect_size=\"47976448\"] \n  10 -> 11 [size =\"47976448\"]\n  11 [size=\"20667733\", alpha=\"0.13\", expect_size=\"6200320\"] \n  11 -> 12 [size =\"6200320\"]\n  12 [size=\"19602773\", alpha=\"0.15\", expect_size=\"5880832\"] \n  12 -> 13 [size =\"5880832\"]\n  13 [size=\"69058560\", alpha=\"0.06\", expect_size=\"20717568\"] \n  13 -> 14 [size =\"20717568\"]\n  14 [size=\"24391680\", alpha=\"0.11\", expect_size=\"7317504\"] \n  14 -> 15 [size =\"7317504\"]\n  15 [size=\"46878720\", alpha=\"0.19\", expect_size=\"14063616\"] \n  15 -> 16 [size =\"14063616\"]\n  16 [size=\"85985280\", alpha=\"0.05\", expect_size=\"25795584\"] \n  16 -> 17 [size =\"25795584\"]\n  17 [size=\"145206613\", alpha=\"0.15\", expect_size=\"43561984\"] \n  17 -> 18 [size =\"43561984\"]\n  18 [size=\"94337707\", alpha=\"0.15\", expect_size=\"28301312\"] \n  18 -> 19 [size =\"28301312\"]\n  19 [size=\"150173013\", alpha=\"0.18\", expect_size=\"45051904\"] \n  19 -> 20 [size =\"45051904\"]\n  20 [size=\"172735147\", alpha=\"0.12\", expect_size=\"51820544\"] \n  20 -> 21 [size =\"51820544\"]\n  21 [size=\"129788587\", alpha=\"0.00\", expect_size=\"38936576\"] \n  21 -> 22 [size =\"38936576\"]\n  22 [size=\"73035093\", alpha=\"0.18\", expect_size=\"21910528\"] \n  22 -> 23 [size =\"21910528\"]\n  23 [size=\"31378773\", alpha=\"0.09\", expect_size=\"9413632\"] \n  23 -> 24 [size =\"9413632\"]\n  24 [size=\"81377280\", alpha=\"0.19\", expect_size=\"24413184\"] \n  24 -> 25 [size =\"24413184\"]\n  25 [size=\"165379413\", alpha=\"0.01\", expect_size=\"49613824\"] \n  25 -> 26 [size =\"49613824\"]\n  26 [size=\"160931840\", alpha=\"0.19\", expect_size=\"48279552\"] \n  26 -> 27 [size =\"48279552\"]\n  27 [size=\"43438080\", alpha=\"0.18\", expect_size=\"13031424\"] \n  27 -> 28 [size =\"13031424\"]\n  28 [size=\"157726720\", alpha=\"0.13\", expect_size=\"47318016\"] \n  28 -> 29 [size =\"47318016\"]\n  29 [size=\"120794453\", alpha=\"0.15\", expect_size=\"36238336\"] \n  29 -> 30 [size =\"36238336\"]\n  30 [size=\"101843627\", alpha=\"0.16\", expect_size=\"30553088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95868928\", alpha=\"0.08\", expect_size=\"47934464\"] \n  1 -> 2 [size =\"47934464\"]\n  2 [size=\"81717248\", alpha=\"0.02\", expect_size=\"40858624\"] \n  2 -> 3 [size =\"40858624\"]\n  3 [size=\"46495744\", alpha=\"0.11\", expect_size=\"23247872\"] \n  3 -> 4 [size =\"23247872\"]\n  4 [size=\"35581952\", alpha=\"0.10\", expect_size=\"17790976\"] \n  4 -> 5 [size =\"17790976\"]\n  5 [size=\"32110592\", alpha=\"0.14\", expect_size=\"16055296\"] \n  5 -> 6 [size =\"16055296\"]\n  6 [size=\"44685312\", alpha=\"0.13\", expect_size=\"22342656\"] \n  6 -> 7 [size =\"22342656\"]\n  7 [size=\"27109376\", alpha=\"0.05\", expect_size=\"13554688\"] \n  7 -> 8 [size =\"13554688\"]\n  8 [size=\"15808512\", alpha=\"0.17\", expect_size=\"7904256\"] \n  8 -> 9 [size =\"7904256\"]\n  9 [size=\"83263488\", alpha=\"0.01\", expect_size=\"41631744\"] \n  9 -> 10 [size =\"41631744\"]\n  10 [size=\"32700416\", alpha=\"0.16\", expect_size=\"16350208\"] \n  10 -> 11 [size =\"16350208\"]\n  11 [size=\"99256320\", alpha=\"0.11\", expect_size=\"49628160\"] \n  11 -> 12 [size =\"49628160\"]\n  12 [size=\"42921984\", alpha=\"0.13\", expect_size=\"21460992\"] \n  12 -> 13 [size =\"21460992\"]\n  13 [size=\"50847744\", alpha=\"0.08\", expect_size=\"25423872\"] \n  13 -> 14 [size =\"25423872\"]\n  14 [size=\"104226816\", alpha=\"0.10\", expect_size=\"52113408\"] \n  14 -> 15 [size =\"52113408\"]\n  15 [size=\"56995840\", alpha=\"0.01\", expect_size=\"28497920\"] \n  15 -> 16 [size =\"28497920\"]\n  16 [size=\"28147712\", alpha=\"0.18\", expect_size=\"14073856\"] \n  16 -> 17 [size =\"14073856\"]\n  17 [size=\"91197440\", alpha=\"0.06\", expect_size=\"45598720\"] \n  17 -> 18 [size =\"45598720\"]\n  18 [size=\"22401024\", alpha=\"0.16\", expect_size=\"11200512\"] \n  18 -> 19 [size =\"11200512\"]\n  19 [size=\"100726784\", alpha=\"0.07\", expect_size=\"50363392\"] \n  19 -> 20 [size =\"50363392\"]\n  20 [size=\"10778624\", alpha=\"0.16\", expect_size=\"5389312\"] \n  20 -> 21 [size =\"5389312\"]\n  21 [size=\"84297728\", alpha=\"0.04\", expect_size=\"42148864\"] \n  21 -> 22 [size =\"42148864\"]\n  22 [size=\"41756672\", alpha=\"0.07\", expect_size=\"20878336\"] \n  22 -> 23 [size =\"20878336\"]\n  23 [size=\"101615616\", alpha=\"0.17\", expect_size=\"50807808\"] \n  23 -> 24 [size =\"50807808\"]\n  24 [size=\"46624768\", alpha=\"0.13\", expect_size=\"23312384\"] \n  24 -> 25 [size =\"23312384\"]\n  25 [size=\"92880896\", alpha=\"0.13\", expect_size=\"46440448\"] \n  25 -> 26 [size =\"46440448\"]\n  26 [size=\"99624960\", alpha=\"0.00\", expect_size=\"49812480\"] \n  26 -> 27 [size =\"49812480\"]\n  27 [size=\"89917440\", alpha=\"0.11\", expect_size=\"44958720\"] \n  27 -> 28 [size =\"44958720\"]\n  28 [size=\"21917696\", alpha=\"0.03\", expect_size=\"10958848\"] \n  28 -> 29 [size =\"10958848\"]\n  29 [size=\"98250752\", alpha=\"0.11\", expect_size=\"49125376\"] \n  29 -> 30 [size =\"49125376\"]\n  30 [size=\"36151296\", alpha=\"0.03\", expect_size=\"18075648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28800000\", alpha=\"0.07\", expect_size=\"11520000\"] \n  1 -> 2 [size =\"11520000\"]\n  2 [size=\"23375360\", alpha=\"0.08\", expect_size=\"9350144\"] \n  2 -> 3 [size =\"9350144\"]\n  3 [size=\"31260160\", alpha=\"0.09\", expect_size=\"12504064\"] \n  3 -> 4 [size =\"12504064\"]\n  4 [size=\"89472000\", alpha=\"0.19\", expect_size=\"35788800\"] \n  4 -> 5 [size =\"35788800\"]\n  5 [size=\"64092160\", alpha=\"0.05\", expect_size=\"25636864\"] \n  5 -> 6 [size =\"25636864\"]\n  6 [size=\"77539840\", alpha=\"0.01\", expect_size=\"31015936\"] \n  6 -> 7 [size =\"31015936\"]\n  7 [size=\"117593600\", alpha=\"0.10\", expect_size=\"47037440\"] \n  7 -> 8 [size =\"47037440\"]\n  8 [size=\"61199360\", alpha=\"0.09\", expect_size=\"24479744\"] \n  8 -> 9 [size =\"24479744\"]\n  9 [size=\"114718720\", alpha=\"0.13\", expect_size=\"45887488\"] \n  9 -> 10 [size =\"45887488\"]\n  10 [size=\"41602560\", alpha=\"0.01\", expect_size=\"16641024\"] \n  10 -> 11 [size =\"16641024\"]\n  11 [size=\"21455360\", alpha=\"0.15\", expect_size=\"8582144\"] \n  11 -> 12 [size =\"8582144\"]\n  12 [size=\"63106560\", alpha=\"0.17\", expect_size=\"25242624\"] \n  12 -> 13 [size =\"25242624\"]\n  13 [size=\"110538240\", alpha=\"0.08\", expect_size=\"44215296\"] \n  13 -> 14 [size =\"44215296\"]\n  14 [size=\"48486400\", alpha=\"0.18\", expect_size=\"19394560\"] \n  14 -> 15 [size =\"19394560\"]\n  15 [size=\"39897600\", alpha=\"0.05\", expect_size=\"15959040\"] \n  15 -> 16 [size =\"15959040\"]\n  16 [size=\"66577920\", alpha=\"0.05\", expect_size=\"26631168\"] \n  16 -> 17 [size =\"26631168\"]\n  17 [size=\"74140160\", alpha=\"0.03\", expect_size=\"29656064\"] \n  17 -> 18 [size =\"29656064\"]\n  18 [size=\"14210560\", alpha=\"0.17\", expect_size=\"5684224\"] \n  18 -> 19 [size =\"5684224\"]\n  19 [size=\"68270080\", alpha=\"0.19\", expect_size=\"27308032\"] \n  19 -> 20 [size =\"27308032\"]\n  20 [size=\"25313280\", alpha=\"0.19\", expect_size=\"10125312\"] \n  20 -> 21 [size =\"10125312\"]\n  21 [size=\"31872000\", alpha=\"0.01\", expect_size=\"12748800\"] \n  21 -> 22 [size =\"12748800\"]\n  22 [size=\"118039040\", alpha=\"0.05\", expect_size=\"47215616\"] \n  22 -> 23 [size =\"47215616\"]\n  23 [size=\"101608960\", alpha=\"0.12\", expect_size=\"40643584\"] \n  23 -> 24 [size =\"40643584\"]\n  24 [size=\"32143360\", alpha=\"0.12\", expect_size=\"12857344\"] \n  24 -> 25 [size =\"12857344\"]\n  25 [size=\"22804480\", alpha=\"0.00\", expect_size=\"9121792\"] \n  25 -> 26 [size =\"9121792\"]\n  26 [size=\"51281920\", alpha=\"0.20\", expect_size=\"20512768\"] \n  26 -> 27 [size =\"20512768\"]\n  27 [size=\"77839360\", alpha=\"0.17\", expect_size=\"31135744\"] \n  27 -> 28 [size =\"31135744\"]\n  28 [size=\"95669760\", alpha=\"0.02\", expect_size=\"38267904\"] \n  28 -> 29 [size =\"38267904\"]\n  29 [size=\"75788800\", alpha=\"0.04\", expect_size=\"30315520\"] \n  29 -> 30 [size =\"30315520\"]\n  30 [size=\"72578560\", alpha=\"0.12\", expect_size=\"29031424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44544000\", alpha=\"0.18\", expect_size=\"17817600\"] \n  1 -> 2 [size =\"17817600\"]\n  2 [size=\"59054080\", alpha=\"0.09\", expect_size=\"23621632\"] \n  2 -> 3 [size =\"23621632\"]\n  3 [size=\"90603520\", alpha=\"0.15\", expect_size=\"36241408\"] \n  3 -> 4 [size =\"36241408\"]\n  3 -> 5 [size =\"36241408\"]\n  4 [size=\"28362240\", alpha=\"0.18\", expect_size=\"11344896\"] \n  5 [size=\"84551680\", alpha=\"0.19\", expect_size=\"33820672\"] \n  5 -> 6 [size =\"33820672\"]\n  6 [size=\"37493760\", alpha=\"0.10\", expect_size=\"14997504\"] \n  6 -> 7 [size =\"14997504\"]\n  6 -> 8 [size =\"14997504\"]\n  7 [size=\"114030080\", alpha=\"0.02\", expect_size=\"45612032\"] \n  7 -> 9 [size =\"45612032\"]\n  8 [size=\"130145280\", alpha=\"0.14\", expect_size=\"52058112\"] \n  8 -> 10 [size =\"52058112\"]\n  9 [size=\"85711360\", alpha=\"0.17\", expect_size=\"34284544\"] \n  10 [size=\"37864960\", alpha=\"0.04\", expect_size=\"15145984\"] \n  10 -> 11 [size =\"15145984\"]\n  11 [size=\"19399680\", alpha=\"0.18\", expect_size=\"7759872\"] \n  11 -> 12 [size =\"7759872\"]\n  11 -> 13 [size =\"7759872\"]\n  12 [size=\"123302400\", alpha=\"0.02\", expect_size=\"49320960\"] \n  12 -> 14 [size =\"49320960\"]\n  13 [size=\"57507840\", alpha=\"0.09\", expect_size=\"23003136\"] \n  14 [size=\"27804160\", alpha=\"0.19\", expect_size=\"11121664\"] \n  14 -> 15 [size =\"11121664\"]\n  14 -> 16 [size =\"11121664\"]\n  15 [size=\"15751680\", alpha=\"0.16\", expect_size=\"6300672\"] \n  15 -> 17 [size =\"6300672\"]\n  16 [size=\"129484800\", alpha=\"0.01\", expect_size=\"51793920\"] \n  16 -> 18 [size =\"51793920\"]\n  17 [size=\"68259840\", alpha=\"0.10\", expect_size=\"27303936\"] \n  17 -> 19 [size =\"27303936\"]\n  18 [size=\"79523840\", alpha=\"0.18\", expect_size=\"31809536\"] \n  18 -> 20 [size =\"31809536\"]\n  19 [size=\"46049280\", alpha=\"0.05\", expect_size=\"18419712\"] \n  19 -> 21 [size =\"18419712\"]\n  19 -> 22 [size =\"18419712\"]\n  20 [size=\"25735680\", alpha=\"0.06\", expect_size=\"10294272\"] \n  21 [size=\"50867200\", alpha=\"0.12\", expect_size=\"20346880\"] \n  22 [size=\"39070720\", alpha=\"0.06\", expect_size=\"15628288\"] \n  22 -> 23 [size =\"15628288\"]\n  23 [size=\"53230080\", alpha=\"0.14\", expect_size=\"21292032\"] \n  23 -> 24 [size =\"21292032\"]\n  23 -> 25 [size =\"21292032\"]\n  24 [size=\"106099200\", alpha=\"0.03\", expect_size=\"42439680\"] \n  24 -> 26 [size =\"42439680\"]\n  24 -> 27 [size =\"42439680\"]\n  25 [size=\"98854400\", alpha=\"0.05\", expect_size=\"39541760\"] \n  26 [size=\"73482240\", alpha=\"0.12\", expect_size=\"29392896\"] \n  26 -> 28 [size =\"29392896\"]\n  27 [size=\"79987200\", alpha=\"0.15\", expect_size=\"31994880\"] \n  28 [size=\"20456960\", alpha=\"0.18\", expect_size=\"8182784\"] \n  28 -> 29 [size =\"8182784\"]\n  28 -> 30 [size =\"8182784\"]\n  29 [size=\"128634880\", alpha=\"0.13\", expect_size=\"51453952\"] \n  30 [size=\"40409600\", alpha=\"0.13\", expect_size=\"16163840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101760000\", alpha=\"0.16\", expect_size=\"40704000\"] \n  1 -> 6 [size =\"40704000\"]\n  1 -> 8 [size =\"40704000\"]\n  1 -> 10 [size =\"40704000\"]\n  2 [size=\"129945600\", alpha=\"0.18\", expect_size=\"51978240\"] \n  2 -> 7 [size =\"51978240\"]\n  2 -> 8 [size =\"51978240\"]\n  2 -> 10 [size =\"51978240\"]\n  3 [size=\"72709120\", alpha=\"0.10\", expect_size=\"29083648\"] \n  4 [size=\"20587520\", alpha=\"0.14\", expect_size=\"8235008\"] \n  4 -> 7 [size =\"8235008\"]\n  4 -> 8 [size =\"8235008\"]\n  4 -> 9 [size =\"8235008\"]\n  4 -> 10 [size =\"8235008\"]\n  5 [size=\"80839680\", alpha=\"0.20\", expect_size=\"32335872\"] \n  5 -> 6 [size =\"32335872\"]\n  5 -> 8 [size =\"32335872\"]\n  5 -> 10 [size =\"32335872\"]\n  6 [size=\"104698880\", alpha=\"0.08\", expect_size=\"41879552\"] \n  6 -> 11 [size =\"41879552\"]\n  6 -> 12 [size =\"41879552\"]\n  6 -> 14 [size =\"41879552\"]\n  7 [size=\"24168960\", alpha=\"0.02\", expect_size=\"9667584\"] \n  7 -> 11 [size =\"9667584\"]\n  7 -> 13 [size =\"9667584\"]\n  7 -> 14 [size =\"9667584\"]\n  8 [size=\"106176000\", alpha=\"0.12\", expect_size=\"42470400\"] \n  9 [size=\"69465600\", alpha=\"0.05\", expect_size=\"27786240\"] \n  9 -> 12 [size =\"27786240\"]\n  9 -> 15 [size =\"27786240\"]\n  10 [size=\"97344000\", alpha=\"0.15\", expect_size=\"38937600\"] \n  10 -> 15 [size =\"38937600\"]\n  11 [size=\"22438400\", alpha=\"0.09\", expect_size=\"8975360\"] \n  11 -> 19 [size =\"8975360\"]\n  12 [size=\"116705280\", alpha=\"0.18\", expect_size=\"46682112\"] \n  12 -> 17 [size =\"46682112\"]\n  12 -> 18 [size =\"46682112\"]\n  12 -> 19 [size =\"46682112\"]\n  13 [size=\"107020800\", alpha=\"0.19\", expect_size=\"42808320\"] \n  13 -> 17 [size =\"42808320\"]\n  13 -> 19 [size =\"42808320\"]\n  14 [size=\"48529920\", alpha=\"0.17\", expect_size=\"19411968\"] \n  14 -> 18 [size =\"19411968\"]\n  15 [size=\"15342080\", alpha=\"0.14\", expect_size=\"6136832\"] \n  15 -> 16 [size =\"6136832\"]\n  15 -> 17 [size =\"6136832\"]\n  15 -> 18 [size =\"6136832\"]\n  16 [size=\"130467840\", alpha=\"0.02\", expect_size=\"52187136\"] \n  16 -> 20 [size =\"52187136\"]\n  16 -> 21 [size =\"52187136\"]\n  16 -> 22 [size =\"52187136\"]\n  16 -> 24 [size =\"52187136\"]\n  17 [size=\"57984000\", alpha=\"0.07\", expect_size=\"23193600\"] \n  18 [size=\"72143360\", alpha=\"0.19\", expect_size=\"28857344\"] \n  18 -> 20 [size =\"28857344\"]\n  18 -> 21 [size =\"28857344\"]\n  18 -> 22 [size =\"28857344\"]\n  19 [size=\"25756160\", alpha=\"0.04\", expect_size=\"10302464\"] \n  19 -> 20 [size =\"10302464\"]\n  19 -> 21 [size =\"10302464\"]\n  19 -> 23 [size =\"10302464\"]\n  20 [size=\"58004480\", alpha=\"0.05\", expect_size=\"23201792\"] \n  20 -> 25 [size =\"23201792\"]\n  20 -> 26 [size =\"23201792\"]\n  20 -> 27 [size =\"23201792\"]\n  21 [size=\"25658880\", alpha=\"0.01\", expect_size=\"10263552\"] \n  21 -> 25 [size =\"10263552\"]\n  21 -> 26 [size =\"10263552\"]\n  22 [size=\"78016000\", alpha=\"0.17\", expect_size=\"31206400\"] \n  22 -> 25 [size =\"31206400\"]\n  22 -> 26 [size =\"31206400\"]\n  22 -> 28 [size =\"31206400\"]\n  23 [size=\"63769600\", alpha=\"0.03\", expect_size=\"25507840\"] \n  23 -> 26 [size =\"25507840\"]\n  23 -> 28 [size =\"25507840\"]\n  24 [size=\"59389440\", alpha=\"0.10\", expect_size=\"23755776\"] \n  24 -> 25 [size =\"23755776\"]\n  24 -> 27 [size =\"23755776\"]\n  25 [size=\"43233280\", alpha=\"0.09\", expect_size=\"17293312\"] \n  25 -> 30 [size =\"17293312\"]\n  26 [size=\"123238400\", alpha=\"0.03\", expect_size=\"49295360\"] \n  26 -> 29 [size =\"49295360\"]\n  26 -> 30 [size =\"49295360\"]\n  27 [size=\"19473920\", alpha=\"0.19\", expect_size=\"7789568\"] \n  28 [size=\"60019200\", alpha=\"0.11\", expect_size=\"24007680\"] \n  28 -> 29 [size =\"24007680\"]\n  29 [size=\"52042240\", alpha=\"0.12\", expect_size=\"20816896\"] \n  30 [size=\"75292160\", alpha=\"0.08\", expect_size=\"30116864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139223040\", alpha=\"0.03\", expect_size=\"41766912\"] \n  1 -> 29 [size =\"41766912\"]\n  2 [size=\"158504960\", alpha=\"0.17\", expect_size=\"47551488\"] \n  3 [size=\"148350293\", alpha=\"0.00\", expect_size=\"44505088\"] \n  3 -> 27 [size =\"44505088\"]\n  4 [size=\"137461760\", alpha=\"0.02\", expect_size=\"41238528\"] \n  4 -> 27 [size =\"41238528\"]\n  4 -> 30 [size =\"41238528\"]\n  5 [size=\"107322027\", alpha=\"0.09\", expect_size=\"32196608\"] \n  6 [size=\"85725867\", alpha=\"0.18\", expect_size=\"25717760\"] \n  6 -> 27 [size =\"25717760\"]\n  6 -> 29 [size =\"25717760\"]\n  7 [size=\"90794667\", alpha=\"0.14\", expect_size=\"27238400\"] \n  7 -> 30 [size =\"27238400\"]\n  8 [size=\"126300160\", alpha=\"0.11\", expect_size=\"37890048\"] \n  8 -> 28 [size =\"37890048\"]\n  9 [size=\"41352533\", alpha=\"0.10\", expect_size=\"12405760\"] \n  9 -> 27 [size =\"12405760\"]\n  10 [size=\"131829760\", alpha=\"0.08\", expect_size=\"39548928\"] \n  11 [size=\"53852160\", alpha=\"0.05\", expect_size=\"16155648\"] \n  11 -> 30 [size =\"16155648\"]\n  12 [size=\"78291627\", alpha=\"0.07\", expect_size=\"23487488\"] \n  12 -> 27 [size =\"23487488\"]\n  13 [size=\"53841920\", alpha=\"0.17\", expect_size=\"16152576\"] \n  13 -> 29 [size =\"16152576\"]\n  13 -> 30 [size =\"16152576\"]\n  14 [size=\"55879680\", alpha=\"0.11\", expect_size=\"16763904\"] \n  14 -> 29 [size =\"16763904\"]\n  14 -> 30 [size =\"16763904\"]\n  15 [size=\"73666560\", alpha=\"0.20\", expect_size=\"22099968\"] \n  15 -> 29 [size =\"22099968\"]\n  15 -> 30 [size =\"22099968\"]\n  16 [size=\"141581653\", alpha=\"0.02\", expect_size=\"42474496\"] \n  16 -> 29 [size =\"42474496\"]\n  17 [size=\"126487893\", alpha=\"0.04\", expect_size=\"37946368\"] \n  17 -> 29 [size =\"37946368\"]\n  18 [size=\"77653333\", alpha=\"0.11\", expect_size=\"23296000\"] \n  18 -> 27 [size =\"23296000\"]\n  18 -> 29 [size =\"23296000\"]\n  19 [size=\"165939200\", alpha=\"0.11\", expect_size=\"49781760\"] \n  19 -> 27 [size =\"49781760\"]\n  19 -> 29 [size =\"49781760\"]\n  20 [size=\"84889600\", alpha=\"0.08\", expect_size=\"25466880\"] \n  20 -> 27 [size =\"25466880\"]\n  20 -> 30 [size =\"25466880\"]\n  21 [size=\"146592427\", alpha=\"0.01\", expect_size=\"43977728\"] \n  22 [size=\"31965867\", alpha=\"0.11\", expect_size=\"9589760\"] \n  23 [size=\"88767147\", alpha=\"0.18\", expect_size=\"26630144\"] \n  23 -> 27 [size =\"26630144\"]\n  23 -> 28 [size =\"26630144\"]\n  23 -> 29 [size =\"26630144\"]\n  24 [size=\"62501547\", alpha=\"0.01\", expect_size=\"18750464\"] \n  24 -> 29 [size =\"18750464\"]\n  25 [size=\"150196907\", alpha=\"0.14\", expect_size=\"45059072\"] \n  25 -> 29 [size =\"45059072\"]\n  26 [size=\"147964587\", alpha=\"0.17\", expect_size=\"44389376\"] \n  26 -> 29 [size =\"44389376\"]\n  27 [size=\"163177813\", alpha=\"0.08\", expect_size=\"48953344\"] \n  28 [size=\"35474773\", alpha=\"0.14\", expect_size=\"10642432\"] \n  29 [size=\"120586240\", alpha=\"0.03\", expect_size=\"36175872\"] \n  30 [size=\"51708587\", alpha=\"0.06\", expect_size=\"15512576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63305728\", alpha=\"0.13\", expect_size=\"31652864\"] \n  1 -> 2 [size =\"31652864\"]\n  2 [size=\"98678784\", alpha=\"0.03\", expect_size=\"49339392\"] \n  2 -> 3 [size =\"49339392\"]\n  3 [size=\"35719168\", alpha=\"0.02\", expect_size=\"17859584\"] \n  3 -> 4 [size =\"17859584\"]\n  4 [size=\"29730816\", alpha=\"0.03\", expect_size=\"14865408\"] \n  4 -> 5 [size =\"14865408\"]\n  5 [size=\"37169152\", alpha=\"0.17\", expect_size=\"18584576\"] \n  5 -> 6 [size =\"18584576\"]\n  6 [size=\"88604672\", alpha=\"0.12\", expect_size=\"44302336\"] \n  6 -> 7 [size =\"44302336\"]\n  7 [size=\"83994624\", alpha=\"0.07\", expect_size=\"41997312\"] \n  7 -> 8 [size =\"41997312\"]\n  8 [size=\"93173760\", alpha=\"0.08\", expect_size=\"46586880\"] \n  8 -> 9 [size =\"46586880\"]\n  9 [size=\"38227968\", alpha=\"0.08\", expect_size=\"19113984\"] \n  9 -> 10 [size =\"19113984\"]\n  10 [size=\"43104256\", alpha=\"0.11\", expect_size=\"21552128\"] \n  10 -> 11 [size =\"21552128\"]\n  11 [size=\"74348544\", alpha=\"0.07\", expect_size=\"37174272\"] \n  11 -> 12 [size =\"37174272\"]\n  12 [size=\"41951232\", alpha=\"0.12\", expect_size=\"20975616\"] \n  12 -> 13 [size =\"20975616\"]\n  13 [size=\"58415104\", alpha=\"0.14\", expect_size=\"29207552\"] \n  13 -> 14 [size =\"29207552\"]\n  14 [size=\"68065280\", alpha=\"0.08\", expect_size=\"34032640\"] \n  14 -> 15 [size =\"34032640\"]\n  15 [size=\"79964160\", alpha=\"0.13\", expect_size=\"39982080\"] \n  15 -> 16 [size =\"39982080\"]\n  16 [size=\"64210944\", alpha=\"0.05\", expect_size=\"32105472\"] \n  16 -> 17 [size =\"32105472\"]\n  17 [size=\"28035072\", alpha=\"0.16\", expect_size=\"14017536\"] \n  17 -> 18 [size =\"14017536\"]\n  18 [size=\"59260928\", alpha=\"0.01\", expect_size=\"29630464\"] \n  18 -> 19 [size =\"29630464\"]\n  19 [size=\"97951744\", alpha=\"0.12\", expect_size=\"48975872\"] \n  19 -> 20 [size =\"48975872\"]\n  20 [size=\"42360832\", alpha=\"0.11\", expect_size=\"21180416\"] \n  20 -> 21 [size =\"21180416\"]\n  21 [size=\"95041536\", alpha=\"0.01\", expect_size=\"47520768\"] \n  21 -> 22 [size =\"47520768\"]\n  22 [size=\"31399936\", alpha=\"0.09\", expect_size=\"15699968\"] \n  22 -> 23 [size =\"15699968\"]\n  23 [size=\"88707072\", alpha=\"0.03\", expect_size=\"44353536\"] \n  23 -> 24 [size =\"44353536\"]\n  24 [size=\"59916288\", alpha=\"0.02\", expect_size=\"29958144\"] \n  24 -> 25 [size =\"29958144\"]\n  25 [size=\"99256320\", alpha=\"0.05\", expect_size=\"49628160\"] \n  25 -> 26 [size =\"49628160\"]\n  26 [size=\"66955264\", alpha=\"0.06\", expect_size=\"33477632\"] \n  26 -> 27 [size =\"33477632\"]\n  27 [size=\"89260032\", alpha=\"0.02\", expect_size=\"44630016\"] \n  27 -> 28 [size =\"44630016\"]\n  28 [size=\"70465536\", alpha=\"0.15\", expect_size=\"35232768\"] \n  28 -> 29 [size =\"35232768\"]\n  29 [size=\"75331584\", alpha=\"0.14\", expect_size=\"37665792\"] \n  29 -> 30 [size =\"37665792\"]\n  30 [size=\"37435392\", alpha=\"0.00\", expect_size=\"18717696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41908224\", alpha=\"0.10\", expect_size=\"20954112\"] \n  2 [size=\"29870080\", alpha=\"0.17\", expect_size=\"14935040\"] \n  2 -> 7 [size =\"14935040\"]\n  3 [size=\"44144640\", alpha=\"0.02\", expect_size=\"22072320\"] \n  3 -> 6 [size =\"22072320\"]\n  3 -> 7 [size =\"22072320\"]\n  3 -> 8 [size =\"22072320\"]\n  3 -> 9 [size =\"22072320\"]\n  4 [size=\"80355328\", alpha=\"0.11\", expect_size=\"40177664\"] \n  4 -> 5 [size =\"40177664\"]\n  5 [size=\"53358592\", alpha=\"0.10\", expect_size=\"26679296\"] \n  5 -> 12 [size =\"26679296\"]\n  5 -> 13 [size =\"26679296\"]\n  6 [size=\"23158784\", alpha=\"0.11\", expect_size=\"11579392\"] \n  6 -> 10 [size =\"11579392\"]\n  6 -> 13 [size =\"11579392\"]\n  7 [size=\"57245696\", alpha=\"0.11\", expect_size=\"28622848\"] \n  7 -> 14 [size =\"28622848\"]\n  8 [size=\"86460416\", alpha=\"0.10\", expect_size=\"43230208\"] \n  8 -> 11 [size =\"43230208\"]\n  8 -> 13 [size =\"43230208\"]\n  9 [size=\"28133376\", alpha=\"0.01\", expect_size=\"14066688\"] \n  9 -> 10 [size =\"14066688\"]\n  10 [size=\"39874560\", alpha=\"0.14\", expect_size=\"19937280\"] \n  10 -> 15 [size =\"19937280\"]\n  10 -> 16 [size =\"19937280\"]\n  11 [size=\"73134080\", alpha=\"0.16\", expect_size=\"36567040\"] \n  11 -> 15 [size =\"36567040\"]\n  11 -> 17 [size =\"36567040\"]\n  12 [size=\"26003456\", alpha=\"0.12\", expect_size=\"13001728\"] \n  13 [size=\"13705216\", alpha=\"0.09\", expect_size=\"6852608\"] \n  14 [size=\"24406016\", alpha=\"0.00\", expect_size=\"12203008\"] \n  15 [size=\"75483136\", alpha=\"0.05\", expect_size=\"37741568\"] \n  15 -> 18 [size =\"37741568\"]\n  15 -> 21 [size =\"37741568\"]\n  16 [size=\"26814464\", alpha=\"0.09\", expect_size=\"13407232\"] \n  16 -> 18 [size =\"13407232\"]\n  16 -> 20 [size =\"13407232\"]\n  16 -> 22 [size =\"13407232\"]\n  16 -> 23 [size =\"13407232\"]\n  17 [size=\"78254080\", alpha=\"0.17\", expect_size=\"39127040\"] \n  17 -> 19 [size =\"39127040\"]\n  17 -> 22 [size =\"39127040\"]\n  17 -> 23 [size =\"39127040\"]\n  18 [size=\"37079040\", alpha=\"0.11\", expect_size=\"18539520\"] \n  19 [size=\"85815296\", alpha=\"0.17\", expect_size=\"42907648\"] \n  19 -> 25 [size =\"42907648\"]\n  19 -> 28 [size =\"42907648\"]\n  20 [size=\"92243968\", alpha=\"0.01\", expect_size=\"46121984\"] \n  20 -> 24 [size =\"46121984\"]\n  20 -> 26 [size =\"46121984\"]\n  20 -> 27 [size =\"46121984\"]\n  21 [size=\"64286720\", alpha=\"0.11\", expect_size=\"32143360\"] \n  21 -> 24 [size =\"32143360\"]\n  21 -> 27 [size =\"32143360\"]\n  22 [size=\"46428160\", alpha=\"0.05\", expect_size=\"23214080\"] \n  22 -> 24 [size =\"23214080\"]\n  22 -> 26 [size =\"23214080\"]\n  22 -> 27 [size =\"23214080\"]\n  22 -> 28 [size =\"23214080\"]\n  23 [size=\"102025216\", alpha=\"0.07\", expect_size=\"51012608\"] \n  23 -> 28 [size =\"51012608\"]\n  24 [size=\"47867904\", alpha=\"0.03\", expect_size=\"23933952\"] \n  24 -> 29 [size =\"23933952\"]\n  25 [size=\"50094080\", alpha=\"0.08\", expect_size=\"25047040\"] \n  26 [size=\"75534336\", alpha=\"0.16\", expect_size=\"37767168\"] \n  27 [size=\"25856000\", alpha=\"0.14\", expect_size=\"12928000\"] \n  27 -> 29 [size =\"12928000\"]\n  27 -> 30 [size =\"12928000\"]\n  28 [size=\"104247296\", alpha=\"0.08\", expect_size=\"52123648\"] \n  28 -> 29 [size =\"52123648\"]\n  29 [size=\"60129280\", alpha=\"0.06\", expect_size=\"30064640\"] \n  30 [size=\"47454208\", alpha=\"0.10\", expect_size=\"23727104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39084032\", alpha=\"0.18\", expect_size=\"19542016\"] \n  1 -> 6 [size =\"19542016\"]\n  1 -> 7 [size =\"19542016\"]\n  2 [size=\"40777728\", alpha=\"0.11\", expect_size=\"20388864\"] \n  2 -> 5 [size =\"20388864\"]\n  3 [size=\"34684928\", alpha=\"0.10\", expect_size=\"17342464\"] \n  3 -> 6 [size =\"17342464\"]\n  4 [size=\"45576192\", alpha=\"0.05\", expect_size=\"22788096\"] \n  5 [size=\"38264832\", alpha=\"0.13\", expect_size=\"19132416\"] \n  5 -> 10 [size =\"19132416\"]\n  5 -> 11 [size =\"19132416\"]\n  6 [size=\"81754112\", alpha=\"0.19\", expect_size=\"40877056\"] \n  6 -> 9 [size =\"40877056\"]\n  6 -> 10 [size =\"40877056\"]\n  6 -> 11 [size =\"40877056\"]\n  7 [size=\"37281792\", alpha=\"0.09\", expect_size=\"18640896\"] \n  7 -> 8 [size =\"18640896\"]\n  8 [size=\"85260288\", alpha=\"0.12\", expect_size=\"42630144\"] \n  8 -> 12 [size =\"42630144\"]\n  8 -> 14 [size =\"42630144\"]\n  9 [size=\"36247552\", alpha=\"0.00\", expect_size=\"18123776\"] \n  10 [size=\"15032320\", alpha=\"0.00\", expect_size=\"7516160\"] \n  10 -> 13 [size =\"7516160\"]\n  11 [size=\"19603456\", alpha=\"0.01\", expect_size=\"9801728\"] \n  11 -> 13 [size =\"9801728\"]\n  11 -> 14 [size =\"9801728\"]\n  12 [size=\"10528768\", alpha=\"0.08\", expect_size=\"5264384\"] \n  12 -> 15 [size =\"5264384\"]\n  12 -> 17 [size =\"5264384\"]\n  13 [size=\"60530688\", alpha=\"0.00\", expect_size=\"30265344\"] \n  13 -> 16 [size =\"30265344\"]\n  13 -> 17 [size =\"30265344\"]\n  13 -> 18 [size =\"30265344\"]\n  14 [size=\"11614208\", alpha=\"0.11\", expect_size=\"5807104\"] \n  14 -> 16 [size =\"5807104\"]\n  15 [size=\"34684928\", alpha=\"0.01\", expect_size=\"17342464\"] \n  15 -> 19 [size =\"17342464\"]\n  15 -> 22 [size =\"17342464\"]\n  16 [size=\"97255424\", alpha=\"0.00\", expect_size=\"48627712\"] \n  16 -> 20 [size =\"48627712\"]\n  16 -> 23 [size =\"48627712\"]\n  17 [size=\"94879744\", alpha=\"0.17\", expect_size=\"47439872\"] \n  17 -> 20 [size =\"47439872\"]\n  17 -> 22 [size =\"47439872\"]\n  18 [size=\"44208128\", alpha=\"0.00\", expect_size=\"22104064\"] \n  18 -> 19 [size =\"22104064\"]\n  18 -> 20 [size =\"22104064\"]\n  18 -> 21 [size =\"22104064\"]\n  18 -> 22 [size =\"22104064\"]\n  19 [size=\"102297600\", alpha=\"0.07\", expect_size=\"51148800\"] \n  20 [size=\"102500352\", alpha=\"0.14\", expect_size=\"51250176\"] \n  20 -> 25 [size =\"51250176\"]\n  20 -> 26 [size =\"51250176\"]\n  21 [size=\"104464384\", alpha=\"0.07\", expect_size=\"52232192\"] \n  21 -> 24 [size =\"52232192\"]\n  21 -> 25 [size =\"52232192\"]\n  21 -> 26 [size =\"52232192\"]\n  22 [size=\"16168960\", alpha=\"0.06\", expect_size=\"8084480\"] \n  22 -> 24 [size =\"8084480\"]\n  22 -> 25 [size =\"8084480\"]\n  23 [size=\"51634176\", alpha=\"0.11\", expect_size=\"25817088\"] \n  23 -> 24 [size =\"25817088\"]\n  23 -> 25 [size =\"25817088\"]\n  24 [size=\"53841920\", alpha=\"0.03\", expect_size=\"26920960\"] \n  24 -> 28 [size =\"26920960\"]\n  24 -> 29 [size =\"26920960\"]\n  25 [size=\"12515328\", alpha=\"0.01\", expect_size=\"6257664\"] \n  25 -> 27 [size =\"6257664\"]\n  25 -> 28 [size =\"6257664\"]\n  25 -> 29 [size =\"6257664\"]\n  26 [size=\"17000448\", alpha=\"0.14\", expect_size=\"8500224\"] \n  26 -> 28 [size =\"8500224\"]\n  27 [size=\"17721344\", alpha=\"0.13\", expect_size=\"8860672\"] \n  27 -> 30 [size =\"8860672\"]\n  28 [size=\"97024000\", alpha=\"0.07\", expect_size=\"48512000\"] \n  28 -> 30 [size =\"48512000\"]\n  29 [size=\"97927168\", alpha=\"0.07\", expect_size=\"48963584\"] \n  29 -> 30 [size =\"48963584\"]\n  30 [size=\"34963456\", alpha=\"0.08\", expect_size=\"17481728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:18 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34953216\", alpha=\"0.08\", expect_size=\"17476608\"] \n  1 -> 4 [size =\"17476608\"]\n  2 [size=\"48594944\", alpha=\"0.18\", expect_size=\"24297472\"] \n  2 -> 3 [size =\"24297472\"]\n  3 [size=\"30803968\", alpha=\"0.08\", expect_size=\"15401984\"] \n  3 -> 5 [size =\"15401984\"]\n  3 -> 6 [size =\"15401984\"]\n  4 [size=\"27068416\", alpha=\"0.02\", expect_size=\"13534208\"] \n  4 -> 6 [size =\"13534208\"]\n  5 [size=\"60018688\", alpha=\"0.01\", expect_size=\"30009344\"] \n  5 -> 7 [size =\"30009344\"]\n  5 -> 8 [size =\"30009344\"]\n  6 [size=\"20901888\", alpha=\"0.06\", expect_size=\"10450944\"] \n  6 -> 8 [size =\"10450944\"]\n  7 [size=\"88500224\", alpha=\"0.19\", expect_size=\"44250112\"] \n  7 -> 9 [size =\"44250112\"]\n  8 [size=\"56301568\", alpha=\"0.20\", expect_size=\"28150784\"] \n  8 -> 9 [size =\"28150784\"]\n  9 [size=\"30525440\", alpha=\"0.18\", expect_size=\"15262720\"] \n  9 -> 10 [size =\"15262720\"]\n  9 -> 11 [size =\"15262720\"]\n  10 [size=\"31674368\", alpha=\"0.18\", expect_size=\"15837184\"] \n  10 -> 12 [size =\"15837184\"]\n  10 -> 13 [size =\"15837184\"]\n  11 [size=\"79734784\", alpha=\"0.06\", expect_size=\"39867392\"] \n  11 -> 12 [size =\"39867392\"]\n  12 [size=\"21993472\", alpha=\"0.04\", expect_size=\"10996736\"] \n  12 -> 14 [size =\"10996736\"]\n  13 [size=\"12953600\", alpha=\"0.12\", expect_size=\"6476800\"] \n  13 -> 15 [size =\"6476800\"]\n  14 [size=\"50071552\", alpha=\"0.03\", expect_size=\"25035776\"] \n  14 -> 16 [size =\"25035776\"]\n  14 -> 17 [size =\"25035776\"]\n  15 [size=\"58546176\", alpha=\"0.04\", expect_size=\"29273088\"] \n  15 -> 16 [size =\"29273088\"]\n  15 -> 17 [size =\"29273088\"]\n  16 [size=\"65024000\", alpha=\"0.01\", expect_size=\"32512000\"] \n  16 -> 18 [size =\"32512000\"]\n  17 [size=\"95565824\", alpha=\"0.14\", expect_size=\"47782912\"] \n  17 -> 18 [size =\"47782912\"]\n  18 [size=\"89233408\", alpha=\"0.16\", expect_size=\"44616704\"] \n  18 -> 19 [size =\"44616704\"]\n  19 [size=\"88875008\", alpha=\"0.10\", expect_size=\"44437504\"] \n  19 -> 20 [size =\"44437504\"]\n  19 -> 21 [size =\"44437504\"]\n  20 [size=\"80592896\", alpha=\"0.18\", expect_size=\"40296448\"] \n  20 -> 22 [size =\"40296448\"]\n  20 -> 23 [size =\"40296448\"]\n  21 [size=\"73472000\", alpha=\"0.11\", expect_size=\"36736000\"] \n  21 -> 22 [size =\"36736000\"]\n  21 -> 23 [size =\"36736000\"]\n  22 [size=\"100732928\", alpha=\"0.12\", expect_size=\"50366464\"] \n  22 -> 24 [size =\"50366464\"]\n  22 -> 25 [size =\"50366464\"]\n  23 [size=\"23576576\", alpha=\"0.18\", expect_size=\"11788288\"] \n  23 -> 24 [size =\"11788288\"]\n  23 -> 25 [size =\"11788288\"]\n  24 [size=\"80605184\", alpha=\"0.07\", expect_size=\"40302592\"] \n  24 -> 26 [size =\"40302592\"]\n  25 [size=\"92485632\", alpha=\"0.06\", expect_size=\"46242816\"] \n  25 -> 26 [size =\"46242816\"]\n  26 [size=\"17131520\", alpha=\"0.08\", expect_size=\"8565760\"] \n  26 -> 27 [size =\"8565760\"]\n  26 -> 28 [size =\"8565760\"]\n  27 [size=\"23949312\", alpha=\"0.06\", expect_size=\"11974656\"] \n  27 -> 29 [size =\"11974656\"]\n  28 [size=\"89393152\", alpha=\"0.14\", expect_size=\"44696576\"] \n  28 -> 29 [size =\"44696576\"]\n  29 [size=\"69390336\", alpha=\"0.06\", expect_size=\"34695168\"] \n  29 -> 30 [size =\"34695168\"]\n  30 [size=\"22880256\", alpha=\"0.03\", expect_size=\"11440128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95447040\", alpha=\"0.15\", expect_size=\"28634112\"] \n  1 -> 5 [size =\"28634112\"]\n  1 -> 6 [size =\"28634112\"]\n  2 [size=\"110824107\", alpha=\"0.17\", expect_size=\"33247232\"] \n  2 -> 5 [size =\"33247232\"]\n  2 -> 6 [size =\"33247232\"]\n  2 -> 7 [size =\"33247232\"]\n  3 [size=\"107704320\", alpha=\"0.01\", expect_size=\"32311296\"] \n  3 -> 6 [size =\"32311296\"]\n  3 -> 7 [size =\"32311296\"]\n  3 -> 8 [size =\"32311296\"]\n  4 [size=\"26920960\", alpha=\"0.07\", expect_size=\"8076288\"] \n  4 -> 5 [size =\"8076288\"]\n  4 -> 8 [size =\"8076288\"]\n  5 [size=\"73079467\", alpha=\"0.16\", expect_size=\"21923840\"] \n  6 [size=\"18524160\", alpha=\"0.18\", expect_size=\"5557248\"] \n  6 -> 10 [size =\"5557248\"]\n  6 -> 11 [size =\"5557248\"]\n  6 -> 12 [size =\"5557248\"]\n  7 [size=\"153613653\", alpha=\"0.15\", expect_size=\"46084096\"] \n  7 -> 9 [size =\"46084096\"]\n  7 -> 11 [size =\"46084096\"]\n  7 -> 12 [size =\"46084096\"]\n  8 [size=\"144288427\", alpha=\"0.18\", expect_size=\"43286528\"] \n  8 -> 11 [size =\"43286528\"]\n  8 -> 12 [size =\"43286528\"]\n  9 [size=\"164840107\", alpha=\"0.07\", expect_size=\"49452032\"] \n  9 -> 13 [size =\"49452032\"]\n  9 -> 16 [size =\"49452032\"]\n  10 [size=\"126631253\", alpha=\"0.15\", expect_size=\"37989376\"] \n  10 -> 15 [size =\"37989376\"]\n  10 -> 17 [size =\"37989376\"]\n  11 [size=\"22132053\", alpha=\"0.17\", expect_size=\"6639616\"] \n  11 -> 14 [size =\"6639616\"]\n  11 -> 17 [size =\"6639616\"]\n  12 [size=\"136898560\", alpha=\"0.11\", expect_size=\"41069568\"] \n  12 -> 13 [size =\"41069568\"]\n  12 -> 16 [size =\"41069568\"]\n  13 [size=\"110346240\", alpha=\"0.01\", expect_size=\"33103872\"] \n  13 -> 19 [size =\"33103872\"]\n  13 -> 22 [size =\"33103872\"]\n  14 [size=\"119575893\", alpha=\"0.17\", expect_size=\"35872768\"] \n  14 -> 20 [size =\"35872768\"]\n  14 -> 22 [size =\"35872768\"]\n  15 [size=\"173465600\", alpha=\"0.19\", expect_size=\"52039680\"] \n  15 -> 18 [size =\"52039680\"]\n  15 -> 21 [size =\"52039680\"]\n  16 [size=\"145281707\", alpha=\"0.09\", expect_size=\"43584512\"] \n  16 -> 18 [size =\"43584512\"]\n  16 -> 19 [size =\"43584512\"]\n  16 -> 22 [size =\"43584512\"]\n  17 [size=\"130973013\", alpha=\"0.20\", expect_size=\"39291904\"] \n  17 -> 19 [size =\"39291904\"]\n  17 -> 21 [size =\"39291904\"]\n  17 -> 22 [size =\"39291904\"]\n  18 [size=\"94450347\", alpha=\"0.00\", expect_size=\"28335104\"] \n  19 [size=\"75458560\", alpha=\"0.05\", expect_size=\"22637568\"] \n  19 -> 23 [size =\"22637568\"]\n  19 -> 24 [size =\"22637568\"]\n  19 -> 26 [size =\"22637568\"]\n  20 [size=\"134184960\", alpha=\"0.02\", expect_size=\"40255488\"] \n  20 -> 24 [size =\"40255488\"]\n  20 -> 25 [size =\"40255488\"]\n  20 -> 26 [size =\"40255488\"]\n  21 [size=\"95317333\", alpha=\"0.08\", expect_size=\"28595200\"] \n  21 -> 23 [size =\"28595200\"]\n  21 -> 24 [size =\"28595200\"]\n  21 -> 25 [size =\"28595200\"]\n  21 -> 26 [size =\"28595200\"]\n  22 [size=\"68427093\", alpha=\"0.06\", expect_size=\"20528128\"] \n  22 -> 25 [size =\"20528128\"]\n  23 [size=\"153770667\", alpha=\"0.15\", expect_size=\"46131200\"] \n  24 [size=\"158614187\", alpha=\"0.06\", expect_size=\"47584256\"] \n  24 -> 27 [size =\"47584256\"]\n  24 -> 29 [size =\"47584256\"]\n  25 [size=\"132549973\", alpha=\"0.04\", expect_size=\"39764992\"] \n  25 -> 30 [size =\"39764992\"]\n  26 [size=\"123313493\", alpha=\"0.02\", expect_size=\"36994048\"] \n  26 -> 28 [size =\"36994048\"]\n  26 -> 30 [size =\"36994048\"]\n  27 [size=\"38536533\", alpha=\"0.17\", expect_size=\"11560960\"] \n  28 [size=\"36375893\", alpha=\"0.08\", expect_size=\"10912768\"] \n  29 [size=\"39662933\", alpha=\"0.18\", expect_size=\"11898880\"] \n  30 [size=\"82827947\", alpha=\"0.02\", expect_size=\"24848384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34222080\", alpha=\"0.19\", expect_size=\"10266624\"] \n  1 -> 21 [size =\"10266624\"]\n  1 -> 22 [size =\"10266624\"]\n  1 -> 23 [size =\"10266624\"]\n  1 -> 25 [size =\"10266624\"]\n  1 -> 26 [size =\"10266624\"]\n  1 -> 27 [size =\"10266624\"]\n  1 -> 28 [size =\"10266624\"]\n  2 [size=\"69321387\", alpha=\"0.02\", expect_size=\"20796416\"] \n  2 -> 23 [size =\"20796416\"]\n  2 -> 27 [size =\"20796416\"]\n  2 -> 29 [size =\"20796416\"]\n  3 [size=\"127136427\", alpha=\"0.12\", expect_size=\"38140928\"] \n  4 [size=\"25245013\", alpha=\"0.14\", expect_size=\"7573504\"] \n  4 -> 21 [size =\"7573504\"]\n  4 -> 26 [size =\"7573504\"]\n  4 -> 28 [size =\"7573504\"]\n  5 [size=\"172516693\", alpha=\"0.09\", expect_size=\"51755008\"] \n  5 -> 21 [size =\"51755008\"]\n  5 -> 22 [size =\"51755008\"]\n  5 -> 27 [size =\"51755008\"]\n  5 -> 30 [size =\"51755008\"]\n  6 [size=\"151019520\", alpha=\"0.04\", expect_size=\"45305856\"] \n  6 -> 23 [size =\"45305856\"]\n  6 -> 27 [size =\"45305856\"]\n  7 [size=\"60241920\", alpha=\"0.19\", expect_size=\"18072576\"] \n  7 -> 22 [size =\"18072576\"]\n  7 -> 26 [size =\"18072576\"]\n  8 [size=\"141083307\", alpha=\"0.07\", expect_size=\"42324992\"] \n  8 -> 21 [size =\"42324992\"]\n  8 -> 30 [size =\"42324992\"]\n  9 [size=\"170533547\", alpha=\"0.10\", expect_size=\"51160064\"] \n  9 -> 21 [size =\"51160064\"]\n  9 -> 22 [size =\"51160064\"]\n  9 -> 23 [size =\"51160064\"]\n  9 -> 27 [size =\"51160064\"]\n  10 [size=\"48264533\", alpha=\"0.17\", expect_size=\"14479360\"] \n  10 -> 21 [size =\"14479360\"]\n  10 -> 22 [size =\"14479360\"]\n  10 -> 23 [size =\"14479360\"]\n  10 -> 26 [size =\"14479360\"]\n  10 -> 27 [size =\"14479360\"]\n  10 -> 30 [size =\"14479360\"]\n  11 [size=\"134946133\", alpha=\"0.05\", expect_size=\"40483840\"] \n  11 -> 21 [size =\"40483840\"]\n  11 -> 22 [size =\"40483840\"]\n  11 -> 23 [size =\"40483840\"]\n  11 -> 27 [size =\"40483840\"]\n  11 -> 27 [size =\"40483840\"]\n  11 -> 29 [size =\"40483840\"]\n  12 [size=\"124460373\", alpha=\"0.17\", expect_size=\"37338112\"] \n  12 -> 21 [size =\"37338112\"]\n  12 -> 22 [size =\"37338112\"]\n  12 -> 23 [size =\"37338112\"]\n  12 -> 27 [size =\"37338112\"]\n  12 -> 29 [size =\"37338112\"]\n  13 [size=\"139264000\", alpha=\"0.15\", expect_size=\"41779200\"] \n  13 -> 21 [size =\"41779200\"]\n  13 -> 22 [size =\"41779200\"]\n  13 -> 23 [size =\"41779200\"]\n  13 -> 27 [size =\"41779200\"]\n  13 -> 28 [size =\"41779200\"]\n  14 [size=\"79848107\", alpha=\"0.18\", expect_size=\"23954432\"] \n  14 -> 22 [size =\"23954432\"]\n  14 -> 23 [size =\"23954432\"]\n  14 -> 24 [size =\"23954432\"]\n  14 -> 29 [size =\"23954432\"]\n  15 [size=\"30897493\", alpha=\"0.08\", expect_size=\"9269248\"] \n  15 -> 26 [size =\"9269248\"]\n  15 -> 29 [size =\"9269248\"]\n  15 -> 30 [size =\"9269248\"]\n  16 [size=\"99624960\", alpha=\"0.03\", expect_size=\"29887488\"] \n  16 -> 21 [size =\"29887488\"]\n  16 -> 22 [size =\"29887488\"]\n  16 -> 26 [size =\"29887488\"]\n  16 -> 28 [size =\"29887488\"]\n  16 -> 29 [size =\"29887488\"]\n  17 [size=\"130044587\", alpha=\"0.02\", expect_size=\"39013376\"] \n  17 -> 24 [size =\"39013376\"]\n  17 -> 26 [size =\"39013376\"]\n  17 -> 26 [size =\"39013376\"]\n  17 -> 28 [size =\"39013376\"]\n  17 -> 29 [size =\"39013376\"]\n  18 [size=\"119275520\", alpha=\"0.19\", expect_size=\"35782656\"] \n  18 -> 22 [size =\"35782656\"]\n  18 -> 24 [size =\"35782656\"]\n  18 -> 26 [size =\"35782656\"]\n  18 -> 28 [size =\"35782656\"]\n  18 -> 29 [size =\"35782656\"]\n  19 [size=\"173858133\", alpha=\"0.13\", expect_size=\"52157440\"] \n  19 -> 21 [size =\"52157440\"]\n  19 -> 22 [size =\"52157440\"]\n  19 -> 27 [size =\"52157440\"]\n  19 -> 29 [size =\"52157440\"]\n  20 [size=\"98119680\", alpha=\"0.16\", expect_size=\"29435904\"] \n  20 -> 26 [size =\"29435904\"]\n  20 -> 30 [size =\"29435904\"]\n  21 [size=\"77841067\", alpha=\"0.01\", expect_size=\"23352320\"] \n  22 [size=\"121033387\", alpha=\"0.13\", expect_size=\"36310016\"] \n  23 [size=\"95832747\", alpha=\"0.18\", expect_size=\"28749824\"] \n  24 [size=\"56180053\", alpha=\"0.05\", expect_size=\"16854016\"] \n  25 [size=\"39307947\", alpha=\"0.11\", expect_size=\"11792384\"] \n  26 [size=\"99713707\", alpha=\"0.15\", expect_size=\"29914112\"] \n  27 [size=\"120064000\", alpha=\"0.03\", expect_size=\"36019200\"] \n  28 [size=\"132396373\", alpha=\"0.08\", expect_size=\"39718912\"] \n  29 [size=\"127764480\", alpha=\"0.12\", expect_size=\"38329344\"] \n  30 [size=\"74014720\", alpha=\"0.19\", expect_size=\"22204416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23603200\", alpha=\"0.15\", expect_size=\"7080960\"] \n  1 -> 11 [size =\"7080960\"]\n  1 -> 16 [size =\"7080960\"]\n  1 -> 17 [size =\"7080960\"]\n  1 -> 18 [size =\"7080960\"]\n  2 [size=\"61754027\", alpha=\"0.16\", expect_size=\"18526208\"] \n  2 -> 13 [size =\"18526208\"]\n  2 -> 16 [size =\"18526208\"]\n  2 -> 17 [size =\"18526208\"]\n  2 -> 18 [size =\"18526208\"]\n  2 -> 21 [size =\"18526208\"]\n  3 [size=\"28583253\", alpha=\"0.17\", expect_size=\"8574976\"] \n  3 -> 11 [size =\"8574976\"]\n  3 -> 12 [size =\"8574976\"]\n  3 -> 13 [size =\"8574976\"]\n  3 -> 15 [size =\"8574976\"]\n  3 -> 16 [size =\"8574976\"]\n  3 -> 18 [size =\"8574976\"]\n  3 -> 19 [size =\"8574976\"]\n  4 [size=\"165208747\", alpha=\"0.19\", expect_size=\"49562624\"] \n  4 -> 11 [size =\"49562624\"]\n  4 -> 13 [size =\"49562624\"]\n  4 -> 14 [size =\"49562624\"]\n  4 -> 17 [size =\"49562624\"]\n  4 -> 18 [size =\"49562624\"]\n  4 -> 21 [size =\"49562624\"]\n  5 [size=\"159156907\", alpha=\"0.07\", expect_size=\"47747072\"] \n  5 -> 16 [size =\"47747072\"]\n  5 -> 17 [size =\"47747072\"]\n  5 -> 18 [size =\"47747072\"]\n  5 -> 21 [size =\"47747072\"]\n  5 -> 22 [size =\"47747072\"]\n  6 [size=\"115012267\", alpha=\"0.08\", expect_size=\"34503680\"] \n  6 -> 13 [size =\"34503680\"]\n  6 -> 14 [size =\"34503680\"]\n  6 -> 17 [size =\"34503680\"]\n  6 -> 18 [size =\"34503680\"]\n  7 [size=\"24340480\", alpha=\"0.00\", expect_size=\"7302144\"] \n  7 -> 12 [size =\"7302144\"]\n  7 -> 14 [size =\"7302144\"]\n  7 -> 15 [size =\"7302144\"]\n  7 -> 17 [size =\"7302144\"]\n  7 -> 18 [size =\"7302144\"]\n  7 -> 20 [size =\"7302144\"]\n  8 [size=\"70140587\", alpha=\"0.17\", expect_size=\"21042176\"] \n  8 -> 12 [size =\"21042176\"]\n  8 -> 13 [size =\"21042176\"]\n  8 -> 14 [size =\"21042176\"]\n  8 -> 15 [size =\"21042176\"]\n  8 -> 21 [size =\"21042176\"]\n  8 -> 23 [size =\"21042176\"]\n  9 [size=\"105403733\", alpha=\"0.16\", expect_size=\"31621120\"] \n  9 -> 12 [size =\"31621120\"]\n  9 -> 13 [size =\"31621120\"]\n  9 -> 14 [size =\"31621120\"]\n  9 -> 15 [size =\"31621120\"]\n  9 -> 17 [size =\"31621120\"]\n  9 -> 21 [size =\"31621120\"]\n  10 [size=\"151906987\", alpha=\"0.14\", expect_size=\"45572096\"] \n  10 -> 13 [size =\"45572096\"]\n  10 -> 13 [size =\"45572096\"]\n  10 -> 14 [size =\"45572096\"]\n  10 -> 17 [size =\"45572096\"]\n  10 -> 21 [size =\"45572096\"]\n  11 [size=\"27204267\", alpha=\"0.19\", expect_size=\"8161280\"] \n  11 -> 30 [size =\"8161280\"]\n  12 [size=\"147657387\", alpha=\"0.13\", expect_size=\"44297216\"] \n  12 -> 25 [size =\"44297216\"]\n  12 -> 26 [size =\"44297216\"]\n  12 -> 30 [size =\"44297216\"]\n  13 [size=\"116473173\", alpha=\"0.06\", expect_size=\"34941952\"] \n  13 -> 24 [size =\"34941952\"]\n  13 -> 25 [size =\"34941952\"]\n  13 -> 30 [size =\"34941952\"]\n  14 [size=\"95324160\", alpha=\"0.11\", expect_size=\"28597248\"] \n  14 -> 24 [size =\"28597248\"]\n  14 -> 25 [size =\"28597248\"]\n  14 -> 30 [size =\"28597248\"]\n  15 [size=\"89009493\", alpha=\"0.17\", expect_size=\"26702848\"] \n  15 -> 24 [size =\"26702848\"]\n  15 -> 26 [size =\"26702848\"]\n  15 -> 27 [size =\"26702848\"]\n  15 -> 30 [size =\"26702848\"]\n  16 [size=\"146708480\", alpha=\"0.07\", expect_size=\"44012544\"] \n  16 -> 25 [size =\"44012544\"]\n  16 -> 26 [size =\"44012544\"]\n  16 -> 30 [size =\"44012544\"]\n  16 -> 30 [size =\"44012544\"]\n  17 [size=\"52947627\", alpha=\"0.04\", expect_size=\"15884288\"] \n  17 -> 24 [size =\"15884288\"]\n  17 -> 26 [size =\"15884288\"]\n  18 [size=\"54988800\", alpha=\"0.10\", expect_size=\"16496640\"] \n  18 -> 24 [size =\"16496640\"]\n  18 -> 25 [size =\"16496640\"]\n  19 [size=\"35276800\", alpha=\"0.03\", expect_size=\"10583040\"] \n  19 -> 24 [size =\"10583040\"]\n  19 -> 27 [size =\"10583040\"]\n  19 -> 30 [size =\"10583040\"]\n  20 [size=\"161433600\", alpha=\"0.08\", expect_size=\"48430080\"] \n  20 -> 24 [size =\"48430080\"]\n  20 -> 25 [size =\"48430080\"]\n  20 -> 26 [size =\"48430080\"]\n  21 [size=\"110359893\", alpha=\"0.14\", expect_size=\"33107968\"] \n  21 -> 24 [size =\"33107968\"]\n  21 -> 25 [size =\"33107968\"]\n  21 -> 27 [size =\"33107968\"]\n  21 -> 28 [size =\"33107968\"]\n  22 [size=\"105932800\", alpha=\"0.05\", expect_size=\"31779840\"] \n  22 -> 24 [size =\"31779840\"]\n  22 -> 25 [size =\"31779840\"]\n  22 -> 26 [size =\"31779840\"]\n  22 -> 30 [size =\"31779840\"]\n  23 [size=\"50926933\", alpha=\"0.18\", expect_size=\"15278080\"] \n  23 -> 24 [size =\"15278080\"]\n  23 -> 25 [size =\"15278080\"]\n  23 -> 26 [size =\"15278080\"]\n  23 -> 29 [size =\"15278080\"]\n  23 -> 30 [size =\"15278080\"]\n  24 [size=\"95689387\", alpha=\"0.10\", expect_size=\"28706816\"] \n  25 [size=\"27863040\", alpha=\"0.19\", expect_size=\"8358912\"] \n  26 [size=\"162996907\", alpha=\"0.01\", expect_size=\"48899072\"] \n  27 [size=\"63061333\", alpha=\"0.04\", expect_size=\"18918400\"] \n  28 [size=\"92617387\", alpha=\"0.14\", expect_size=\"27785216\"] \n  29 [size=\"167632213\", alpha=\"0.15\", expect_size=\"50289664\"] \n  30 [size=\"35614720\", alpha=\"0.12\", expect_size=\"10684416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31737173\", alpha=\"0.03\", expect_size=\"9521152\"] \n  1 -> 2 [size =\"9521152\"]\n  2 [size=\"80981333\", alpha=\"0.16\", expect_size=\"24294400\"] \n  2 -> 3 [size =\"24294400\"]\n  3 [size=\"113718613\", alpha=\"0.01\", expect_size=\"34115584\"] \n  3 -> 4 [size =\"34115584\"]\n  4 [size=\"100106240\", alpha=\"0.14\", expect_size=\"30031872\"] \n  4 -> 5 [size =\"30031872\"]\n  5 [size=\"130013867\", alpha=\"0.02\", expect_size=\"39004160\"] \n  5 -> 6 [size =\"39004160\"]\n  6 [size=\"42557440\", alpha=\"0.05\", expect_size=\"12767232\"] \n  6 -> 7 [size =\"12767232\"]\n  7 [size=\"104891733\", alpha=\"0.02\", expect_size=\"31467520\"] \n  7 -> 8 [size =\"31467520\"]\n  8 [size=\"112691200\", alpha=\"0.16\", expect_size=\"33807360\"] \n  8 -> 9 [size =\"33807360\"]\n  9 [size=\"74349227\", alpha=\"0.01\", expect_size=\"22304768\"] \n  9 -> 10 [size =\"22304768\"]\n  10 [size=\"42137600\", alpha=\"0.19\", expect_size=\"12641280\"] \n  10 -> 11 [size =\"12641280\"]\n  11 [size=\"31249067\", alpha=\"0.12\", expect_size=\"9374720\"] \n  11 -> 12 [size =\"9374720\"]\n  12 [size=\"51708587\", alpha=\"0.18\", expect_size=\"15512576\"] \n  12 -> 13 [size =\"15512576\"]\n  13 [size=\"19411627\", alpha=\"0.05\", expect_size=\"5823488\"] \n  13 -> 14 [size =\"5823488\"]\n  14 [size=\"29334187\", alpha=\"0.17\", expect_size=\"8800256\"] \n  14 -> 15 [size =\"8800256\"]\n  15 [size=\"142004907\", alpha=\"0.03\", expect_size=\"42601472\"] \n  15 -> 16 [size =\"42601472\"]\n  16 [size=\"158371840\", alpha=\"0.16\", expect_size=\"47511552\"] \n  16 -> 17 [size =\"47511552\"]\n  17 [size=\"41632427\", alpha=\"0.09\", expect_size=\"12489728\"] \n  17 -> 18 [size =\"12489728\"]\n  18 [size=\"55343787\", alpha=\"0.15\", expect_size=\"16603136\"] \n  18 -> 19 [size =\"16603136\"]\n  19 [size=\"26487467\", alpha=\"0.17\", expect_size=\"7946240\"] \n  19 -> 20 [size =\"7946240\"]\n  20 [size=\"36693333\", alpha=\"0.08\", expect_size=\"11008000\"] \n  20 -> 21 [size =\"11008000\"]\n  21 [size=\"26426027\", alpha=\"0.01\", expect_size=\"7927808\"] \n  21 -> 22 [size =\"7927808\"]\n  22 [size=\"118760107\", alpha=\"0.02\", expect_size=\"35628032\"] \n  22 -> 23 [size =\"35628032\"]\n  23 [size=\"106031787\", alpha=\"0.15\", expect_size=\"31809536\"] \n  23 -> 24 [size =\"31809536\"]\n  24 [size=\"146196480\", alpha=\"0.19\", expect_size=\"43858944\"] \n  24 -> 25 [size =\"43858944\"]\n  25 [size=\"119845547\", alpha=\"0.17\", expect_size=\"35953664\"] \n  25 -> 26 [size =\"35953664\"]\n  26 [size=\"143834453\", alpha=\"0.18\", expect_size=\"43150336\"] \n  26 -> 27 [size =\"43150336\"]\n  27 [size=\"111445333\", alpha=\"0.10\", expect_size=\"33433600\"] \n  27 -> 28 [size =\"33433600\"]\n  28 [size=\"23985493\", alpha=\"0.15\", expect_size=\"7195648\"] \n  28 -> 29 [size =\"7195648\"]\n  29 [size=\"141670400\", alpha=\"0.07\", expect_size=\"42501120\"] \n  29 -> 30 [size =\"42501120\"]\n  30 [size=\"117961387\", alpha=\"0.01\", expect_size=\"35388416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62146560\", alpha=\"0.11\", expect_size=\"24858624\"] \n  1 -> 25 [size =\"24858624\"]\n  1 -> 26 [size =\"24858624\"]\n  1 -> 29 [size =\"24858624\"]\n  2 [size=\"30394880\", alpha=\"0.17\", expect_size=\"12157952\"] \n  2 -> 24 [size =\"12157952\"]\n  3 [size=\"74508800\", alpha=\"0.03\", expect_size=\"29803520\"] \n  3 -> 27 [size =\"29803520\"]\n  3 -> 29 [size =\"29803520\"]\n  3 -> 30 [size =\"29803520\"]\n  4 [size=\"73175040\", alpha=\"0.20\", expect_size=\"29270016\"] \n  4 -> 30 [size =\"29270016\"]\n  5 [size=\"121807360\", alpha=\"0.00\", expect_size=\"48722944\"] \n  5 -> 24 [size =\"48722944\"]\n  5 -> 26 [size =\"48722944\"]\n  5 -> 27 [size =\"48722944\"]\n  5 -> 29 [size =\"48722944\"]\n  6 [size=\"121402880\", alpha=\"0.13\", expect_size=\"48561152\"] \n  6 -> 24 [size =\"48561152\"]\n  6 -> 29 [size =\"48561152\"]\n  7 [size=\"94051840\", alpha=\"0.13\", expect_size=\"37620736\"] \n  7 -> 27 [size =\"37620736\"]\n  7 -> 29 [size =\"37620736\"]\n  8 [size=\"70768640\", alpha=\"0.04\", expect_size=\"28307456\"] \n  8 -> 26 [size =\"28307456\"]\n  8 -> 29 [size =\"28307456\"]\n  9 [size=\"96074240\", alpha=\"0.01\", expect_size=\"38429696\"] \n  9 -> 26 [size =\"38429696\"]\n  9 -> 27 [size =\"38429696\"]\n  10 [size=\"77388800\", alpha=\"0.01\", expect_size=\"30955520\"] \n  10 -> 24 [size =\"30955520\"]\n  10 -> 26 [size =\"30955520\"]\n  10 -> 27 [size =\"30955520\"]\n  10 -> 28 [size =\"30955520\"]\n  11 [size=\"80112640\", alpha=\"0.17\", expect_size=\"32045056\"] \n  11 -> 26 [size =\"32045056\"]\n  11 -> 27 [size =\"32045056\"]\n  12 [size=\"24652800\", alpha=\"0.12\", expect_size=\"9861120\"] \n  12 -> 26 [size =\"9861120\"]\n  12 -> 27 [size =\"9861120\"]\n  12 -> 30 [size =\"9861120\"]\n  13 [size=\"125547520\", alpha=\"0.20\", expect_size=\"50219008\"] \n  13 -> 24 [size =\"50219008\"]\n  13 -> 26 [size =\"50219008\"]\n  13 -> 29 [size =\"50219008\"]\n  14 [size=\"27461120\", alpha=\"0.11\", expect_size=\"10984448\"] \n  14 -> 26 [size =\"10984448\"]\n  14 -> 29 [size =\"10984448\"]\n  15 [size=\"25935360\", alpha=\"0.15\", expect_size=\"10374144\"] \n  15 -> 26 [size =\"10374144\"]\n  15 -> 28 [size =\"10374144\"]\n  16 [size=\"27366400\", alpha=\"0.03\", expect_size=\"10946560\"] \n  16 -> 24 [size =\"10946560\"]\n  17 [size=\"103756800\", alpha=\"0.18\", expect_size=\"41502720\"] \n  17 -> 26 [size =\"41502720\"]\n  18 [size=\"59950080\", alpha=\"0.13\", expect_size=\"23980032\"] \n  18 -> 26 [size =\"23980032\"]\n  18 -> 29 [size =\"23980032\"]\n  19 [size=\"83507200\", alpha=\"0.00\", expect_size=\"33402880\"] \n  19 -> 24 [size =\"33402880\"]\n  19 -> 30 [size =\"33402880\"]\n  20 [size=\"88977920\", alpha=\"0.16\", expect_size=\"35591168\"] \n  20 -> 24 [size =\"35591168\"]\n  21 [size=\"94195200\", alpha=\"0.01\", expect_size=\"37678080\"] \n  21 -> 27 [size =\"37678080\"]\n  22 [size=\"77962240\", alpha=\"0.08\", expect_size=\"31184896\"] \n  22 -> 27 [size =\"31184896\"]\n  23 [size=\"29184000\", alpha=\"0.06\", expect_size=\"11673600\"] \n  23 -> 24 [size =\"11673600\"]\n  23 -> 30 [size =\"11673600\"]\n  24 [size=\"28485120\", alpha=\"0.14\", expect_size=\"11394048\"] \n  25 [size=\"91770880\", alpha=\"0.01\", expect_size=\"36708352\"] \n  26 [size=\"65026560\", alpha=\"0.06\", expect_size=\"26010624\"] \n  27 [size=\"84293120\", alpha=\"0.04\", expect_size=\"33717248\"] \n  28 [size=\"74895360\", alpha=\"0.13\", expect_size=\"29958144\"] \n  29 [size=\"35870720\", alpha=\"0.15\", expect_size=\"14348288\"] \n  30 [size=\"36421120\", alpha=\"0.08\", expect_size=\"14568448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52609024\", alpha=\"0.12\", expect_size=\"26304512\"] \n  1 -> 5 [size =\"26304512\"]\n  1 -> 6 [size =\"26304512\"]\n  1 -> 7 [size =\"26304512\"]\n  1 -> 8 [size =\"26304512\"]\n  1 -> 10 [size =\"26304512\"]\n  2 [size=\"75466752\", alpha=\"0.07\", expect_size=\"37733376\"] \n  2 -> 5 [size =\"37733376\"]\n  2 -> 7 [size =\"37733376\"]\n  2 -> 10 [size =\"37733376\"]\n  3 [size=\"19154944\", alpha=\"0.03\", expect_size=\"9577472\"] \n  3 -> 5 [size =\"9577472\"]\n  3 -> 6 [size =\"9577472\"]\n  3 -> 8 [size =\"9577472\"]\n  3 -> 9 [size =\"9577472\"]\n  3 -> 10 [size =\"9577472\"]\n  4 [size=\"46039040\", alpha=\"0.06\", expect_size=\"23019520\"] \n  4 -> 5 [size =\"23019520\"]\n  4 -> 8 [size =\"23019520\"]\n  4 -> 10 [size =\"23019520\"]\n  5 [size=\"55107584\", alpha=\"0.07\", expect_size=\"27553792\"] \n  6 [size=\"61079552\", alpha=\"0.14\", expect_size=\"30539776\"] \n  6 -> 13 [size =\"30539776\"]\n  7 [size=\"25622528\", alpha=\"0.05\", expect_size=\"12811264\"] \n  7 -> 11 [size =\"12811264\"]\n  7 -> 12 [size =\"12811264\"]\n  7 -> 13 [size =\"12811264\"]\n  8 [size=\"79742976\", alpha=\"0.01\", expect_size=\"39871488\"] \n  9 [size=\"100028416\", alpha=\"0.01\", expect_size=\"50014208\"] \n  10 [size=\"96145408\", alpha=\"0.03\", expect_size=\"48072704\"] \n  11 [size=\"43937792\", alpha=\"0.06\", expect_size=\"21968896\"] \n  11 -> 14 [size =\"21968896\"]\n  11 -> 15 [size =\"21968896\"]\n  11 -> 16 [size =\"21968896\"]\n  11 -> 17 [size =\"21968896\"]\n  11 -> 19 [size =\"21968896\"]\n  12 [size=\"98459648\", alpha=\"0.03\", expect_size=\"49229824\"] \n  12 -> 14 [size =\"49229824\"]\n  12 -> 15 [size =\"49229824\"]\n  12 -> 17 [size =\"49229824\"]\n  12 -> 18 [size =\"49229824\"]\n  13 [size=\"36751360\", alpha=\"0.01\", expect_size=\"18375680\"] \n  13 -> 15 [size =\"18375680\"]\n  13 -> 17 [size =\"18375680\"]\n  13 -> 19 [size =\"18375680\"]\n  14 [size=\"51613696\", alpha=\"0.20\", expect_size=\"25806848\"] \n  14 -> 20 [size =\"25806848\"]\n  14 -> 22 [size =\"25806848\"]\n  15 [size=\"77887488\", alpha=\"0.06\", expect_size=\"38943744\"] \n  15 -> 22 [size =\"38943744\"]\n  15 -> 22 [size =\"38943744\"]\n  15 -> 23 [size =\"38943744\"]\n  15 -> 24 [size =\"38943744\"]\n  15 -> 25 [size =\"38943744\"]\n  16 [size=\"18245632\", alpha=\"0.11\", expect_size=\"9122816\"] \n  16 -> 21 [size =\"9122816\"]\n  16 -> 23 [size =\"9122816\"]\n  16 -> 24 [size =\"9122816\"]\n  16 -> 24 [size =\"9122816\"]\n  16 -> 25 [size =\"9122816\"]\n  17 [size=\"85372928\", alpha=\"0.04\", expect_size=\"42686464\"] \n  17 -> 21 [size =\"42686464\"]\n  17 -> 25 [size =\"42686464\"]\n  18 [size=\"12769280\", alpha=\"0.07\", expect_size=\"6384640\"] \n  18 -> 20 [size =\"6384640\"]\n  18 -> 21 [size =\"6384640\"]\n  18 -> 22 [size =\"6384640\"]\n  18 -> 23 [size =\"6384640\"]\n  18 -> 24 [size =\"6384640\"]\n  18 -> 25 [size =\"6384640\"]\n  19 [size=\"17395712\", alpha=\"0.08\", expect_size=\"8697856\"] \n  19 -> 20 [size =\"8697856\"]\n  19 -> 22 [size =\"8697856\"]\n  19 -> 22 [size =\"8697856\"]\n  19 -> 24 [size =\"8697856\"]\n  20 [size=\"24119296\", alpha=\"0.06\", expect_size=\"12059648\"] \n  20 -> 26 [size =\"12059648\"]\n  20 -> 27 [size =\"12059648\"]\n  21 [size=\"39305216\", alpha=\"0.14\", expect_size=\"19652608\"] \n  22 [size=\"67072000\", alpha=\"0.15\", expect_size=\"33536000\"] \n  22 -> 26 [size =\"33536000\"]\n  22 -> 28 [size =\"33536000\"]\n  23 [size=\"79284224\", alpha=\"0.18\", expect_size=\"39642112\"] \n  24 [size=\"82743296\", alpha=\"0.09\", expect_size=\"41371648\"] \n  25 [size=\"81453056\", alpha=\"0.09\", expect_size=\"40726528\"] \n  25 -> 26 [size =\"40726528\"]\n  26 [size=\"17358848\", alpha=\"0.20\", expect_size=\"8679424\"] \n  26 -> 29 [size =\"8679424\"]\n  27 [size=\"69844992\", alpha=\"0.14\", expect_size=\"34922496\"] \n  27 -> 29 [size =\"34922496\"]\n  28 [size=\"87203840\", alpha=\"0.02\", expect_size=\"43601920\"] \n  28 -> 29 [size =\"43601920\"]\n  28 -> 30 [size =\"43601920\"]\n  29 [size=\"27017216\", alpha=\"0.10\", expect_size=\"13508608\"] \n  30 [size=\"63881216\", alpha=\"0.16\", expect_size=\"31940608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138536960\", alpha=\"0.20\", expect_size=\"41561088\"] \n  1 -> 2 [size =\"41561088\"]\n  2 [size=\"79735467\", alpha=\"0.15\", expect_size=\"23920640\"] \n  2 -> 3 [size =\"23920640\"]\n  3 [size=\"163082240\", alpha=\"0.06\", expect_size=\"48924672\"] \n  3 -> 4 [size =\"48924672\"]\n  4 [size=\"43991040\", alpha=\"0.10\", expect_size=\"13197312\"] \n  4 -> 5 [size =\"13197312\"]\n  5 [size=\"68771840\", alpha=\"0.14\", expect_size=\"20631552\"] \n  5 -> 6 [size =\"20631552\"]\n  6 [size=\"129966080\", alpha=\"0.18\", expect_size=\"38989824\"] \n  6 -> 7 [size =\"38989824\"]\n  7 [size=\"126313813\", alpha=\"0.04\", expect_size=\"37894144\"] \n  7 -> 8 [size =\"37894144\"]\n  8 [size=\"44189013\", alpha=\"0.03\", expect_size=\"13256704\"] \n  8 -> 9 [size =\"13256704\"]\n  9 [size=\"40437760\", alpha=\"0.05\", expect_size=\"12131328\"] \n  9 -> 10 [size =\"12131328\"]\n  10 [size=\"126296747\", alpha=\"0.03\", expect_size=\"37889024\"] \n  10 -> 11 [size =\"37889024\"]\n  11 [size=\"174172160\", alpha=\"0.00\", expect_size=\"52251648\"] \n  11 -> 12 [size =\"52251648\"]\n  12 [size=\"171076267\", alpha=\"0.19\", expect_size=\"51322880\"] \n  12 -> 13 [size =\"51322880\"]\n  13 [size=\"131239253\", alpha=\"0.11\", expect_size=\"39371776\"] \n  13 -> 14 [size =\"39371776\"]\n  14 [size=\"18360320\", alpha=\"0.18\", expect_size=\"5508096\"] \n  14 -> 15 [size =\"5508096\"]\n  15 [size=\"95214933\", alpha=\"0.08\", expect_size=\"28564480\"] \n  15 -> 16 [size =\"28564480\"]\n  16 [size=\"45243733\", alpha=\"0.19\", expect_size=\"13573120\"] \n  16 -> 17 [size =\"13573120\"]\n  17 [size=\"32624640\", alpha=\"0.03\", expect_size=\"9787392\"] \n  17 -> 18 [size =\"9787392\"]\n  18 [size=\"66109440\", alpha=\"0.07\", expect_size=\"19832832\"] \n  18 -> 19 [size =\"19832832\"]\n  19 [size=\"89702400\", alpha=\"0.04\", expect_size=\"26910720\"] \n  19 -> 20 [size =\"26910720\"]\n  20 [size=\"131054933\", alpha=\"0.13\", expect_size=\"39316480\"] \n  20 -> 21 [size =\"39316480\"]\n  21 [size=\"158388907\", alpha=\"0.18\", expect_size=\"47516672\"] \n  21 -> 22 [size =\"47516672\"]\n  22 [size=\"160583680\", alpha=\"0.10\", expect_size=\"48175104\"] \n  22 -> 23 [size =\"48175104\"]\n  23 [size=\"152750080\", alpha=\"0.01\", expect_size=\"45825024\"] \n  23 -> 24 [size =\"45825024\"]\n  24 [size=\"82234027\", alpha=\"0.15\", expect_size=\"24670208\"] \n  24 -> 25 [size =\"24670208\"]\n  25 [size=\"65860267\", alpha=\"0.16\", expect_size=\"19758080\"] \n  25 -> 26 [size =\"19758080\"]\n  26 [size=\"126225067\", alpha=\"0.11\", expect_size=\"37867520\"] \n  26 -> 27 [size =\"37867520\"]\n  27 [size=\"117166080\", alpha=\"0.00\", expect_size=\"35149824\"] \n  27 -> 28 [size =\"35149824\"]\n  28 [size=\"142185813\", alpha=\"0.13\", expect_size=\"42655744\"] \n  28 -> 29 [size =\"42655744\"]\n  29 [size=\"39055360\", alpha=\"0.08\", expect_size=\"11716608\"] \n  29 -> 30 [size =\"11716608\"]\n  30 [size=\"69113173\", alpha=\"0.17\", expect_size=\"20733952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174523733\", alpha=\"0.18\", expect_size=\"52357120\"] \n  1 -> 2 [size =\"52357120\"]\n  2 [size=\"53316267\", alpha=\"0.11\", expect_size=\"15994880\"] \n  2 -> 3 [size =\"15994880\"]\n  3 [size=\"127064747\", alpha=\"0.04\", expect_size=\"38119424\"] \n  3 -> 4 [size =\"38119424\"]\n  4 [size=\"24900267\", alpha=\"0.08\", expect_size=\"7470080\"] \n  4 -> 5 [size =\"7470080\"]\n  5 [size=\"21299200\", alpha=\"0.14\", expect_size=\"6389760\"] \n  5 -> 6 [size =\"6389760\"]\n  6 [size=\"157678933\", alpha=\"0.06\", expect_size=\"47303680\"] \n  6 -> 7 [size =\"47303680\"]\n  7 [size=\"78878720\", alpha=\"0.18\", expect_size=\"23663616\"] \n  7 -> 8 [size =\"23663616\"]\n  8 [size=\"96969387\", alpha=\"0.15\", expect_size=\"29090816\"] \n  8 -> 9 [size =\"29090816\"]\n  9 [size=\"51261440\", alpha=\"0.06\", expect_size=\"15378432\"] \n  9 -> 10 [size =\"15378432\"]\n  10 [size=\"122804907\", alpha=\"0.18\", expect_size=\"36841472\"] \n  10 -> 11 [size =\"36841472\"]\n  11 [size=\"31552853\", alpha=\"0.13\", expect_size=\"9465856\"] \n  11 -> 12 [size =\"9465856\"]\n  12 [size=\"18988373\", alpha=\"0.03\", expect_size=\"5696512\"] \n  12 -> 13 [size =\"5696512\"]\n  13 [size=\"105925973\", alpha=\"0.00\", expect_size=\"31777792\"] \n  13 -> 14 [size =\"31777792\"]\n  14 [size=\"133686613\", alpha=\"0.16\", expect_size=\"40105984\"] \n  14 -> 15 [size =\"40105984\"]\n  15 [size=\"39294293\", alpha=\"0.00\", expect_size=\"11788288\"] \n  15 -> 16 [size =\"11788288\"]\n  16 [size=\"148667733\", alpha=\"0.05\", expect_size=\"44600320\"] \n  16 -> 17 [size =\"44600320\"]\n  17 [size=\"37710507\", alpha=\"0.00\", expect_size=\"11313152\"] \n  17 -> 18 [size =\"11313152\"]\n  18 [size=\"23586133\", alpha=\"0.17\", expect_size=\"7075840\"] \n  18 -> 19 [size =\"7075840\"]\n  19 [size=\"141905920\", alpha=\"0.16\", expect_size=\"42571776\"] \n  19 -> 20 [size =\"42571776\"]\n  20 [size=\"35522560\", alpha=\"0.15\", expect_size=\"10656768\"] \n  20 -> 21 [size =\"10656768\"]\n  21 [size=\"22964907\", alpha=\"0.15\", expect_size=\"6889472\"] \n  21 -> 22 [size =\"6889472\"]\n  22 [size=\"127327573\", alpha=\"0.18\", expect_size=\"38198272\"] \n  22 -> 23 [size =\"38198272\"]\n  23 [size=\"149978453\", alpha=\"0.16\", expect_size=\"44993536\"] \n  23 -> 24 [size =\"44993536\"]\n  24 [size=\"151982080\", alpha=\"0.15\", expect_size=\"45594624\"] \n  24 -> 25 [size =\"45594624\"]\n  25 [size=\"119661227\", alpha=\"0.14\", expect_size=\"35898368\"] \n  25 -> 26 [size =\"35898368\"]\n  26 [size=\"123344213\", alpha=\"0.11\", expect_size=\"37003264\"] \n  26 -> 27 [size =\"37003264\"]\n  27 [size=\"161580373\", alpha=\"0.16\", expect_size=\"48474112\"] \n  27 -> 28 [size =\"48474112\"]\n  28 [size=\"162788693\", alpha=\"0.11\", expect_size=\"48836608\"] \n  28 -> 29 [size =\"48836608\"]\n  29 [size=\"139093333\", alpha=\"0.10\", expect_size=\"41728000\"] \n  29 -> 30 [size =\"41728000\"]\n  30 [size=\"109380267\", alpha=\"0.02\", expect_size=\"32814080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38750720\", alpha=\"0.14\", expect_size=\"15500288\"] \n  1 -> 3 [size =\"15500288\"]\n  1 -> 4 [size =\"15500288\"]\n  1 -> 6 [size =\"15500288\"]\n  1 -> 8 [size =\"15500288\"]\n  1 -> 9 [size =\"15500288\"]\n  2 [size=\"84070400\", alpha=\"0.19\", expect_size=\"33628160\"] \n  2 -> 3 [size =\"33628160\"]\n  2 -> 4 [size =\"33628160\"]\n  2 -> 5 [size =\"33628160\"]\n  2 -> 7 [size =\"33628160\"]\n  2 -> 8 [size =\"33628160\"]\n  2 -> 9 [size =\"33628160\"]\n  3 [size=\"50813440\", alpha=\"0.12\", expect_size=\"20325376\"] \n  3 -> 12 [size =\"20325376\"]\n  4 [size=\"27906560\", alpha=\"0.06\", expect_size=\"11162624\"] \n  4 -> 11 [size =\"11162624\"]\n  5 [size=\"118131200\", alpha=\"0.11\", expect_size=\"47252480\"] \n  5 -> 10 [size =\"47252480\"]\n  6 [size=\"65704960\", alpha=\"0.09\", expect_size=\"26281984\"] \n  6 -> 12 [size =\"26281984\"]\n  7 [size=\"104693760\", alpha=\"0.10\", expect_size=\"41877504\"] \n  7 -> 10 [size =\"41877504\"]\n  7 -> 12 [size =\"41877504\"]\n  8 [size=\"110950400\", alpha=\"0.12\", expect_size=\"44380160\"] \n  8 -> 10 [size =\"44380160\"]\n  9 [size=\"105950720\", alpha=\"0.07\", expect_size=\"42380288\"] \n  9 -> 10 [size =\"42380288\"]\n  9 -> 11 [size =\"42380288\"]\n  10 [size=\"130867200\", alpha=\"0.08\", expect_size=\"52346880\"] \n  10 -> 13 [size =\"52346880\"]\n  10 -> 15 [size =\"52346880\"]\n  10 -> 17 [size =\"52346880\"]\n  11 [size=\"121802240\", alpha=\"0.12\", expect_size=\"48720896\"] \n  11 -> 16 [size =\"48720896\"]\n  11 -> 18 [size =\"48720896\"]\n  12 [size=\"89297920\", alpha=\"0.05\", expect_size=\"35719168\"] \n  12 -> 14 [size =\"35719168\"]\n  12 -> 16 [size =\"35719168\"]\n  13 [size=\"84608000\", alpha=\"0.06\", expect_size=\"33843200\"] \n  13 -> 21 [size =\"33843200\"]\n  14 [size=\"37841920\", alpha=\"0.14\", expect_size=\"15136768\"] \n  14 -> 19 [size =\"15136768\"]\n  15 [size=\"70612480\", alpha=\"0.16\", expect_size=\"28244992\"] \n  15 -> 19 [size =\"28244992\"]\n  15 -> 20 [size =\"28244992\"]\n  16 [size=\"16299520\", alpha=\"0.06\", expect_size=\"6519808\"] \n  16 -> 21 [size =\"6519808\"]\n  17 [size=\"69793280\", alpha=\"0.05\", expect_size=\"27917312\"] \n  17 -> 21 [size =\"27917312\"]\n  18 [size=\"127490560\", alpha=\"0.10\", expect_size=\"50996224\"] \n  18 -> 21 [size =\"50996224\"]\n  19 [size=\"78796800\", alpha=\"0.18\", expect_size=\"31518720\"] \n  19 -> 22 [size =\"31518720\"]\n  19 -> 23 [size =\"31518720\"]\n  19 -> 24 [size =\"31518720\"]\n  19 -> 25 [size =\"31518720\"]\n  19 -> 26 [size =\"31518720\"]\n  20 [size=\"120220160\", alpha=\"0.18\", expect_size=\"48088064\"] \n  20 -> 26 [size =\"48088064\"]\n  21 [size=\"52352000\", alpha=\"0.02\", expect_size=\"20940800\"] \n  21 -> 23 [size =\"20940800\"]\n  21 -> 24 [size =\"20940800\"]\n  22 [size=\"122357760\", alpha=\"0.18\", expect_size=\"48943104\"] \n  22 -> 27 [size =\"48943104\"]\n  23 [size=\"35578880\", alpha=\"0.20\", expect_size=\"14231552\"] \n  23 -> 27 [size =\"14231552\"]\n  24 [size=\"70415360\", alpha=\"0.05\", expect_size=\"28166144\"] \n  24 -> 27 [size =\"28166144\"]\n  24 -> 28 [size =\"28166144\"]\n  25 [size=\"37509120\", alpha=\"0.07\", expect_size=\"15003648\"] \n  26 [size=\"15278080\", alpha=\"0.19\", expect_size=\"6111232\"] \n  27 [size=\"52226560\", alpha=\"0.06\", expect_size=\"20890624\"] \n  27 -> 29 [size =\"20890624\"]\n  28 [size=\"83476480\", alpha=\"0.10\", expect_size=\"33390592\"] \n  28 -> 30 [size =\"33390592\"]\n  29 [size=\"25666560\", alpha=\"0.09\", expect_size=\"10266624\"] \n  30 [size=\"15211520\", alpha=\"0.09\", expect_size=\"6084608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42480640\", alpha=\"0.05\", expect_size=\"16992256\"] \n  1 -> 2 [size =\"16992256\"]\n  1 -> 3 [size =\"16992256\"]\n  2 [size=\"123904000\", alpha=\"0.00\", expect_size=\"49561600\"] \n  3 [size=\"114554880\", alpha=\"0.15\", expect_size=\"45821952\"] \n  3 -> 4 [size =\"45821952\"]\n  4 [size=\"16732160\", alpha=\"0.02\", expect_size=\"6692864\"] \n  4 -> 5 [size =\"6692864\"]\n  5 [size=\"113884160\", alpha=\"0.10\", expect_size=\"45553664\"] \n  5 -> 6 [size =\"45553664\"]\n  6 [size=\"54566400\", alpha=\"0.02\", expect_size=\"21826560\"] \n  6 -> 7 [size =\"21826560\"]\n  7 [size=\"79285760\", alpha=\"0.13\", expect_size=\"31714304\"] \n  7 -> 8 [size =\"31714304\"]\n  7 -> 9 [size =\"31714304\"]\n  8 [size=\"48273920\", alpha=\"0.08\", expect_size=\"19309568\"] \n  8 -> 10 [size =\"19309568\"]\n  9 [size=\"35601920\", alpha=\"0.06\", expect_size=\"14240768\"] \n  9 -> 10 [size =\"14240768\"]\n  10 [size=\"30233600\", alpha=\"0.15\", expect_size=\"12093440\"] \n  10 -> 11 [size =\"12093440\"]\n  11 [size=\"80903680\", alpha=\"0.08\", expect_size=\"32361472\"] \n  11 -> 12 [size =\"32361472\"]\n  11 -> 13 [size =\"32361472\"]\n  12 [size=\"108700160\", alpha=\"0.09\", expect_size=\"43480064\"] \n  12 -> 14 [size =\"43480064\"]\n  12 -> 15 [size =\"43480064\"]\n  13 [size=\"110479360\", alpha=\"0.17\", expect_size=\"44191744\"] \n  13 -> 14 [size =\"44191744\"]\n  13 -> 15 [size =\"44191744\"]\n  14 [size=\"82542080\", alpha=\"0.01\", expect_size=\"33016832\"] \n  14 -> 16 [size =\"33016832\"]\n  15 [size=\"96977920\", alpha=\"0.11\", expect_size=\"38791168\"] \n  15 -> 16 [size =\"38791168\"]\n  16 [size=\"37337600\", alpha=\"0.10\", expect_size=\"14935040\"] \n  16 -> 17 [size =\"14935040\"]\n  16 -> 18 [size =\"14935040\"]\n  17 [size=\"48921600\", alpha=\"0.18\", expect_size=\"19568640\"] \n  17 -> 19 [size =\"19568640\"]\n  18 [size=\"128281600\", alpha=\"0.12\", expect_size=\"51312640\"] \n  18 -> 20 [size =\"51312640\"]\n  19 [size=\"59041280\", alpha=\"0.02\", expect_size=\"23616512\"] \n  19 -> 21 [size =\"23616512\"]\n  20 [size=\"95820800\", alpha=\"0.03\", expect_size=\"38328320\"] \n  20 -> 21 [size =\"38328320\"]\n  20 -> 22 [size =\"38328320\"]\n  21 [size=\"63933440\", alpha=\"0.09\", expect_size=\"25573376\"] \n  21 -> 23 [size =\"25573376\"]\n  21 -> 24 [size =\"25573376\"]\n  22 [size=\"111037440\", alpha=\"0.14\", expect_size=\"44414976\"] \n  22 -> 23 [size =\"44414976\"]\n  23 [size=\"47298560\", alpha=\"0.16\", expect_size=\"18919424\"] \n  23 -> 25 [size =\"18919424\"]\n  23 -> 26 [size =\"18919424\"]\n  24 [size=\"27151360\", alpha=\"0.19\", expect_size=\"10860544\"] \n  24 -> 25 [size =\"10860544\"]\n  25 [size=\"31098880\", alpha=\"0.18\", expect_size=\"12439552\"] \n  25 -> 27 [size =\"12439552\"]\n  25 -> 28 [size =\"12439552\"]\n  26 [size=\"98073600\", alpha=\"0.05\", expect_size=\"39229440\"] \n  26 -> 27 [size =\"39229440\"]\n  26 -> 28 [size =\"39229440\"]\n  27 [size=\"39946240\", alpha=\"0.03\", expect_size=\"15978496\"] \n  27 -> 29 [size =\"15978496\"]\n  28 [size=\"28382720\", alpha=\"0.07\", expect_size=\"11353088\"] \n  28 -> 29 [size =\"11353088\"]\n  29 [size=\"98048000\", alpha=\"0.14\", expect_size=\"39219200\"] \n  29 -> 30 [size =\"39219200\"]\n  30 [size=\"112358400\", alpha=\"0.05\", expect_size=\"44943360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93620907\", alpha=\"0.17\", expect_size=\"28086272\"] \n  1 -> 2 [size =\"28086272\"]\n  2 [size=\"84913493\", alpha=\"0.05\", expect_size=\"25474048\"] \n  2 -> 3 [size =\"25474048\"]\n  3 [size=\"62549333\", alpha=\"0.11\", expect_size=\"18764800\"] \n  3 -> 4 [size =\"18764800\"]\n  4 [size=\"153644373\", alpha=\"0.16\", expect_size=\"46093312\"] \n  4 -> 5 [size =\"46093312\"]\n  5 [size=\"174530560\", alpha=\"0.06\", expect_size=\"52359168\"] \n  5 -> 6 [size =\"52359168\"]\n  6 [size=\"149858987\", alpha=\"0.03\", expect_size=\"44957696\"] \n  6 -> 7 [size =\"44957696\"]\n  7 [size=\"81834667\", alpha=\"0.08\", expect_size=\"24550400\"] \n  7 -> 8 [size =\"24550400\"]\n  8 [size=\"68935680\", alpha=\"0.12\", expect_size=\"20680704\"] \n  8 -> 9 [size =\"20680704\"]\n  9 [size=\"23296000\", alpha=\"0.12\", expect_size=\"6988800\"] \n  9 -> 10 [size =\"6988800\"]\n  10 [size=\"72468480\", alpha=\"0.01\", expect_size=\"21740544\"] \n  10 -> 11 [size =\"21740544\"]\n  11 [size=\"103461547\", alpha=\"0.02\", expect_size=\"31038464\"] \n  11 -> 12 [size =\"31038464\"]\n  12 [size=\"80384000\", alpha=\"0.04\", expect_size=\"24115200\"] \n  12 -> 13 [size =\"24115200\"]\n  13 [size=\"115954347\", alpha=\"0.03\", expect_size=\"34786304\"] \n  13 -> 14 [size =\"34786304\"]\n  14 [size=\"42786133\", alpha=\"0.16\", expect_size=\"12835840\"] \n  14 -> 15 [size =\"12835840\"]\n  15 [size=\"168861013\", alpha=\"0.11\", expect_size=\"50658304\"] \n  15 -> 16 [size =\"50658304\"]\n  16 [size=\"60416000\", alpha=\"0.02\", expect_size=\"18124800\"] \n  16 -> 17 [size =\"18124800\"]\n  17 [size=\"82995200\", alpha=\"0.00\", expect_size=\"24898560\"] \n  17 -> 18 [size =\"24898560\"]\n  18 [size=\"148305920\", alpha=\"0.04\", expect_size=\"44491776\"] \n  18 -> 19 [size =\"44491776\"]\n  19 [size=\"82042880\", alpha=\"0.19\", expect_size=\"24612864\"] \n  19 -> 20 [size =\"24612864\"]\n  20 [size=\"173158400\", alpha=\"0.11\", expect_size=\"51947520\"] \n  20 -> 21 [size =\"51947520\"]\n  21 [size=\"25316693\", alpha=\"0.11\", expect_size=\"7595008\"] \n  21 -> 22 [size =\"7595008\"]\n  22 [size=\"44765867\", alpha=\"0.01\", expect_size=\"13429760\"] \n  22 -> 23 [size =\"13429760\"]\n  23 [size=\"77472427\", alpha=\"0.16\", expect_size=\"23241728\"] \n  23 -> 24 [size =\"23241728\"]\n  24 [size=\"97652053\", alpha=\"0.08\", expect_size=\"29295616\"] \n  24 -> 25 [size =\"29295616\"]\n  25 [size=\"66996907\", alpha=\"0.01\", expect_size=\"20099072\"] \n  25 -> 26 [size =\"20099072\"]\n  26 [size=\"151951360\", alpha=\"0.10\", expect_size=\"45585408\"] \n  26 -> 27 [size =\"45585408\"]\n  27 [size=\"169526613\", alpha=\"0.07\", expect_size=\"50857984\"] \n  27 -> 28 [size =\"50857984\"]\n  28 [size=\"171147947\", alpha=\"0.11\", expect_size=\"51344384\"] \n  28 -> 29 [size =\"51344384\"]\n  29 [size=\"47581867\", alpha=\"0.16\", expect_size=\"14274560\"] \n  29 -> 30 [size =\"14274560\"]\n  30 [size=\"43048960\", alpha=\"0.08\", expect_size=\"12914688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165505707\", alpha=\"0.09\", expect_size=\"49651712\"] \n  1 -> 3 [size =\"49651712\"]\n  2 [size=\"51998720\", alpha=\"0.03\", expect_size=\"15599616\"] \n  2 -> 3 [size =\"15599616\"]\n  3 [size=\"144889173\", alpha=\"0.19\", expect_size=\"43466752\"] \n  3 -> 4 [size =\"43466752\"]\n  4 [size=\"63105707\", alpha=\"0.02\", expect_size=\"18931712\"] \n  4 -> 5 [size =\"18931712\"]\n  5 [size=\"100577280\", alpha=\"0.03\", expect_size=\"30173184\"] \n  5 -> 6 [size =\"30173184\"]\n  6 [size=\"84152320\", alpha=\"0.12\", expect_size=\"25245696\"] \n  6 -> 7 [size =\"25245696\"]\n  7 [size=\"128515413\", alpha=\"0.19\", expect_size=\"38554624\"] \n  7 -> 8 [size =\"38554624\"]\n  8 [size=\"66891093\", alpha=\"0.04\", expect_size=\"20067328\"] \n  8 -> 9 [size =\"20067328\"]\n  8 -> 10 [size =\"20067328\"]\n  9 [size=\"18322773\", alpha=\"0.08\", expect_size=\"5496832\"] \n  9 -> 11 [size =\"5496832\"]\n  10 [size=\"32382293\", alpha=\"0.16\", expect_size=\"9714688\"] \n  10 -> 11 [size =\"9714688\"]\n  11 [size=\"120784213\", alpha=\"0.16\", expect_size=\"36235264\"] \n  11 -> 12 [size =\"36235264\"]\n  12 [size=\"34385920\", alpha=\"0.20\", expect_size=\"10315776\"] \n  12 -> 13 [size =\"10315776\"]\n  13 [size=\"58859520\", alpha=\"0.14\", expect_size=\"17657856\"] \n  13 -> 14 [size =\"17657856\"]\n  13 -> 15 [size =\"17657856\"]\n  14 [size=\"51459413\", alpha=\"0.08\", expect_size=\"15437824\"] \n  14 -> 16 [size =\"15437824\"]\n  15 [size=\"68928853\", alpha=\"0.09\", expect_size=\"20678656\"] \n  16 [size=\"95006720\", alpha=\"0.14\", expect_size=\"28502016\"] \n  16 -> 17 [size =\"28502016\"]\n  16 -> 18 [size =\"28502016\"]\n  17 [size=\"30098773\", alpha=\"0.17\", expect_size=\"9029632\"] \n  17 -> 19 [size =\"9029632\"]\n  17 -> 20 [size =\"9029632\"]\n  18 [size=\"21128533\", alpha=\"0.17\", expect_size=\"6338560\"] \n  18 -> 20 [size =\"6338560\"]\n  19 [size=\"51391147\", alpha=\"0.19\", expect_size=\"15417344\"] \n  19 -> 21 [size =\"15417344\"]\n  20 [size=\"113991680\", alpha=\"0.12\", expect_size=\"34197504\"] \n  20 -> 21 [size =\"34197504\"]\n  21 [size=\"82930347\", alpha=\"0.03\", expect_size=\"24879104\"] \n  21 -> 22 [size =\"24879104\"]\n  21 -> 23 [size =\"24879104\"]\n  22 [size=\"51920213\", alpha=\"0.19\", expect_size=\"15576064\"] \n  22 -> 24 [size =\"15576064\"]\n  23 [size=\"48807253\", alpha=\"0.11\", expect_size=\"14642176\"] \n  23 -> 24 [size =\"14642176\"]\n  24 [size=\"155658240\", alpha=\"0.09\", expect_size=\"46697472\"] \n  24 -> 25 [size =\"46697472\"]\n  25 [size=\"65184427\", alpha=\"0.18\", expect_size=\"19555328\"] \n  25 -> 26 [size =\"19555328\"]\n  26 [size=\"138376533\", alpha=\"0.15\", expect_size=\"41512960\"] \n  26 -> 27 [size =\"41512960\"]\n  26 -> 28 [size =\"41512960\"]\n  27 [size=\"89777493\", alpha=\"0.06\", expect_size=\"26933248\"] \n  27 -> 29 [size =\"26933248\"]\n  28 [size=\"68911787\", alpha=\"0.03\", expect_size=\"20673536\"] \n  28 -> 29 [size =\"20673536\"]\n  29 [size=\"47370240\", alpha=\"0.01\", expect_size=\"14211072\"] \n  29 -> 30 [size =\"14211072\"]\n  30 [size=\"38997333\", alpha=\"0.00\", expect_size=\"11699200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90301440\", alpha=\"0.12\", expect_size=\"36120576\"] \n  1 -> 22 [size =\"36120576\"]\n  1 -> 23 [size =\"36120576\"]\n  1 -> 25 [size =\"36120576\"]\n  1 -> 30 [size =\"36120576\"]\n  2 [size=\"41410560\", alpha=\"0.10\", expect_size=\"16564224\"] \n  2 -> 22 [size =\"16564224\"]\n  2 -> 23 [size =\"16564224\"]\n  2 -> 29 [size =\"16564224\"]\n  2 -> 30 [size =\"16564224\"]\n  3 [size=\"48445440\", alpha=\"0.06\", expect_size=\"19378176\"] \n  3 -> 22 [size =\"19378176\"]\n  3 -> 23 [size =\"19378176\"]\n  3 -> 25 [size =\"19378176\"]\n  4 [size=\"45946880\", alpha=\"0.14\", expect_size=\"18378752\"] \n  4 -> 23 [size =\"18378752\"]\n  4 -> 23 [size =\"18378752\"]\n  4 -> 25 [size =\"18378752\"]\n  5 [size=\"108313600\", alpha=\"0.11\", expect_size=\"43325440\"] \n  5 -> 23 [size =\"43325440\"]\n  5 -> 30 [size =\"43325440\"]\n  6 [size=\"27445760\", alpha=\"0.18\", expect_size=\"10978304\"] \n  6 -> 28 [size =\"10978304\"]\n  7 [size=\"37145600\", alpha=\"0.10\", expect_size=\"14858240\"] \n  7 -> 29 [size =\"14858240\"]\n  8 [size=\"35514880\", alpha=\"0.08\", expect_size=\"14205952\"] \n  8 -> 26 [size =\"14205952\"]\n  8 -> 28 [size =\"14205952\"]\n  9 [size=\"30402560\", alpha=\"0.17\", expect_size=\"12161024\"] \n  9 -> 28 [size =\"12161024\"]\n  10 [size=\"65789440\", alpha=\"0.07\", expect_size=\"26315776\"] \n  10 -> 23 [size =\"26315776\"]\n  10 -> 28 [size =\"26315776\"]\n  11 [size=\"43115520\", alpha=\"0.04\", expect_size=\"17246208\"] \n  11 -> 22 [size =\"17246208\"]\n  11 -> 27 [size =\"17246208\"]\n  11 -> 28 [size =\"17246208\"]\n  11 -> 29 [size =\"17246208\"]\n  12 [size=\"114874880\", alpha=\"0.19\", expect_size=\"45949952\"] \n  12 -> 22 [size =\"45949952\"]\n  12 -> 27 [size =\"45949952\"]\n  13 [size=\"54499840\", alpha=\"0.01\", expect_size=\"21799936\"] \n  13 -> 22 [size =\"21799936\"]\n  14 [size=\"90398720\", alpha=\"0.04\", expect_size=\"36159488\"] \n  14 -> 22 [size =\"36159488\"]\n  15 [size=\"56901120\", alpha=\"0.08\", expect_size=\"22760448\"] \n  15 -> 22 [size =\"22760448\"]\n  15 -> 25 [size =\"22760448\"]\n  15 -> 30 [size =\"22760448\"]\n  16 [size=\"122951680\", alpha=\"0.20\", expect_size=\"49180672\"] \n  16 -> 23 [size =\"49180672\"]\n  17 [size=\"113528320\", alpha=\"0.00\", expect_size=\"45411328\"] \n  17 -> 23 [size =\"45411328\"]\n  18 [size=\"51788800\", alpha=\"0.20\", expect_size=\"20715520\"] \n  18 -> 28 [size =\"20715520\"]\n  19 [size=\"101414400\", alpha=\"0.02\", expect_size=\"40565760\"] \n  19 -> 26 [size =\"40565760\"]\n  19 -> 28 [size =\"40565760\"]\n  19 -> 30 [size =\"40565760\"]\n  20 [size=\"84300800\", alpha=\"0.11\", expect_size=\"33720320\"] \n  20 -> 28 [size =\"33720320\"]\n  20 -> 28 [size =\"33720320\"]\n  21 [size=\"128248320\", alpha=\"0.13\", expect_size=\"51299328\"] \n  21 -> 22 [size =\"51299328\"]\n  21 -> 24 [size =\"51299328\"]\n  21 -> 25 [size =\"51299328\"]\n  22 [size=\"30945280\", alpha=\"0.20\", expect_size=\"12378112\"] \n  23 [size=\"25876480\", alpha=\"0.13\", expect_size=\"10350592\"] \n  24 [size=\"32253440\", alpha=\"0.11\", expect_size=\"12901376\"] \n  25 [size=\"58158080\", alpha=\"0.06\", expect_size=\"23263232\"] \n  26 [size=\"104985600\", alpha=\"0.03\", expect_size=\"41994240\"] \n  27 [size=\"104903680\", alpha=\"0.04\", expect_size=\"41961472\"] \n  28 [size=\"107776000\", alpha=\"0.09\", expect_size=\"43110400\"] \n  29 [size=\"107545600\", alpha=\"0.16\", expect_size=\"43018240\"] \n  30 [size=\"117314560\", alpha=\"0.13\", expect_size=\"46925824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43361280\", alpha=\"0.19\", expect_size=\"17344512\"] \n  1 -> 20 [size =\"17344512\"]\n  1 -> 22 [size =\"17344512\"]\n  1 -> 24 [size =\"17344512\"]\n  1 -> 26 [size =\"17344512\"]\n  1 -> 27 [size =\"17344512\"]\n  2 [size=\"34112000\", alpha=\"0.12\", expect_size=\"13644800\"] \n  2 -> 20 [size =\"13644800\"]\n  2 -> 21 [size =\"13644800\"]\n  2 -> 26 [size =\"13644800\"]\n  2 -> 30 [size =\"13644800\"]\n  3 [size=\"120069120\", alpha=\"0.16\", expect_size=\"48027648\"] \n  3 -> 20 [size =\"48027648\"]\n  3 -> 21 [size =\"48027648\"]\n  3 -> 30 [size =\"48027648\"]\n  4 [size=\"24668160\", alpha=\"0.06\", expect_size=\"9867264\"] \n  4 -> 20 [size =\"9867264\"]\n  4 -> 23 [size =\"9867264\"]\n  4 -> 24 [size =\"9867264\"]\n  4 -> 26 [size =\"9867264\"]\n  4 -> 27 [size =\"9867264\"]\n  4 -> 29 [size =\"9867264\"]\n  5 [size=\"46814720\", alpha=\"0.08\", expect_size=\"18725888\"] \n  5 -> 20 [size =\"18725888\"]\n  5 -> 21 [size =\"18725888\"]\n  5 -> 22 [size =\"18725888\"]\n  5 -> 23 [size =\"18725888\"]\n  5 -> 24 [size =\"18725888\"]\n  5 -> 25 [size =\"18725888\"]\n  5 -> 26 [size =\"18725888\"]\n  6 [size=\"89208320\", alpha=\"0.15\", expect_size=\"35683328\"] \n  6 -> 21 [size =\"35683328\"]\n  6 -> 21 [size =\"35683328\"]\n  6 -> 23 [size =\"35683328\"]\n  6 -> 24 [size =\"35683328\"]\n  6 -> 29 [size =\"35683328\"]\n  7 [size=\"112555520\", alpha=\"0.07\", expect_size=\"45022208\"] \n  7 -> 21 [size =\"45022208\"]\n  7 -> 23 [size =\"45022208\"]\n  7 -> 24 [size =\"45022208\"]\n  7 -> 25 [size =\"45022208\"]\n  7 -> 26 [size =\"45022208\"]\n  8 [size=\"122357760\", alpha=\"0.17\", expect_size=\"48943104\"] \n  8 -> 20 [size =\"48943104\"]\n  8 -> 21 [size =\"48943104\"]\n  8 -> 22 [size =\"48943104\"]\n  8 -> 26 [size =\"48943104\"]\n  8 -> 27 [size =\"48943104\"]\n  8 -> 29 [size =\"48943104\"]\n  8 -> 30 [size =\"48943104\"]\n  9 [size=\"20103680\", alpha=\"0.01\", expect_size=\"8041472\"] \n  9 -> 25 [size =\"8041472\"]\n  9 -> 26 [size =\"8041472\"]\n  9 -> 27 [size =\"8041472\"]\n  10 [size=\"79928320\", alpha=\"0.05\", expect_size=\"31971328\"] \n  10 -> 20 [size =\"31971328\"]\n  10 -> 22 [size =\"31971328\"]\n  10 -> 27 [size =\"31971328\"]\n  10 -> 30 [size =\"31971328\"]\n  11 [size=\"95572480\", alpha=\"0.14\", expect_size=\"38228992\"] \n  11 -> 20 [size =\"38228992\"]\n  11 -> 21 [size =\"38228992\"]\n  12 [size=\"92582400\", alpha=\"0.04\", expect_size=\"37032960\"] \n  12 -> 20 [size =\"37032960\"]\n  12 -> 22 [size =\"37032960\"]\n  12 -> 23 [size =\"37032960\"]\n  12 -> 28 [size =\"37032960\"]\n  12 -> 30 [size =\"37032960\"]\n  13 [size=\"42560000\", alpha=\"0.19\", expect_size=\"17024000\"] \n  13 -> 20 [size =\"17024000\"]\n  13 -> 21 [size =\"17024000\"]\n  13 -> 23 [size =\"17024000\"]\n  13 -> 24 [size =\"17024000\"]\n  13 -> 26 [size =\"17024000\"]\n  13 -> 27 [size =\"17024000\"]\n  14 [size=\"21347840\", alpha=\"0.08\", expect_size=\"8539136\"] \n  14 -> 20 [size =\"8539136\"]\n  14 -> 21 [size =\"8539136\"]\n  14 -> 23 [size =\"8539136\"]\n  14 -> 24 [size =\"8539136\"]\n  14 -> 26 [size =\"8539136\"]\n  14 -> 27 [size =\"8539136\"]\n  15 [size=\"58567680\", alpha=\"0.10\", expect_size=\"23427072\"] \n  15 -> 20 [size =\"23427072\"]\n  15 -> 22 [size =\"23427072\"]\n  15 -> 24 [size =\"23427072\"]\n  15 -> 25 [size =\"23427072\"]\n  15 -> 27 [size =\"23427072\"]\n  15 -> 27 [size =\"23427072\"]\n  15 -> 30 [size =\"23427072\"]\n  16 [size=\"107852800\", alpha=\"0.09\", expect_size=\"43141120\"] \n  16 -> 20 [size =\"43141120\"]\n  16 -> 24 [size =\"43141120\"]\n  16 -> 25 [size =\"43141120\"]\n  16 -> 27 [size =\"43141120\"]\n  17 [size=\"76807680\", alpha=\"0.02\", expect_size=\"30723072\"] \n  17 -> 20 [size =\"30723072\"]\n  17 -> 23 [size =\"30723072\"]\n  17 -> 26 [size =\"30723072\"]\n  17 -> 27 [size =\"30723072\"]\n  17 -> 29 [size =\"30723072\"]\n  18 [size=\"120834560\", alpha=\"0.00\", expect_size=\"48333824\"] \n  18 -> 20 [size =\"48333824\"]\n  18 -> 26 [size =\"48333824\"]\n  18 -> 26 [size =\"48333824\"]\n  18 -> 27 [size =\"48333824\"]\n  18 -> 28 [size =\"48333824\"]\n  19 [size=\"105218560\", alpha=\"0.19\", expect_size=\"42087424\"] \n  19 -> 20 [size =\"42087424\"]\n  19 -> 23 [size =\"42087424\"]\n  19 -> 24 [size =\"42087424\"]\n  19 -> 26 [size =\"42087424\"]\n  19 -> 27 [size =\"42087424\"]\n  20 [size=\"108172800\", alpha=\"0.02\", expect_size=\"43269120\"] \n  21 [size=\"20323840\", alpha=\"0.11\", expect_size=\"8129536\"] \n  22 [size=\"102085120\", alpha=\"0.03\", expect_size=\"40834048\"] \n  23 [size=\"124602880\", alpha=\"0.13\", expect_size=\"49841152\"] \n  24 [size=\"118691840\", alpha=\"0.05\", expect_size=\"47476736\"] \n  25 [size=\"49008640\", alpha=\"0.02\", expect_size=\"19603456\"] \n  26 [size=\"107461120\", alpha=\"0.13\", expect_size=\"42984448\"] \n  27 [size=\"45186560\", alpha=\"0.01\", expect_size=\"18074624\"] \n  28 [size=\"55969280\", alpha=\"0.07\", expect_size=\"22387712\"] \n  29 [size=\"56893440\", alpha=\"0.14\", expect_size=\"22757376\"] \n  30 [size=\"52715520\", alpha=\"0.12\", expect_size=\"21086208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74260480\", alpha=\"0.07\", expect_size=\"22278144\"] \n  1 -> 26 [size =\"22278144\"]\n  1 -> 27 [size =\"22278144\"]\n  1 -> 28 [size =\"22278144\"]\n  1 -> 29 [size =\"22278144\"]\n  2 [size=\"114804053\", alpha=\"0.03\", expect_size=\"34441216\"] \n  2 -> 24 [size =\"34441216\"]\n  2 -> 25 [size =\"34441216\"]\n  2 -> 27 [size =\"34441216\"]\n  2 -> 28 [size =\"34441216\"]\n  2 -> 29 [size =\"34441216\"]\n  3 [size=\"20087467\", alpha=\"0.17\", expect_size=\"6026240\"] \n  3 -> 25 [size =\"6026240\"]\n  3 -> 25 [size =\"6026240\"]\n  3 -> 26 [size =\"6026240\"]\n  3 -> 27 [size =\"6026240\"]\n  3 -> 29 [size =\"6026240\"]\n  4 [size=\"83609600\", alpha=\"0.08\", expect_size=\"25082880\"] \n  4 -> 23 [size =\"25082880\"]\n  4 -> 26 [size =\"25082880\"]\n  4 -> 26 [size =\"25082880\"]\n  4 -> 27 [size =\"25082880\"]\n  5 [size=\"59525120\", alpha=\"0.06\", expect_size=\"17857536\"] \n  5 -> 23 [size =\"17857536\"]\n  5 -> 24 [size =\"17857536\"]\n  5 -> 25 [size =\"17857536\"]\n  5 -> 27 [size =\"17857536\"]\n  5 -> 28 [size =\"17857536\"]\n  6 [size=\"44485973\", alpha=\"0.11\", expect_size=\"13345792\"] \n  6 -> 27 [size =\"13345792\"]\n  7 [size=\"172475733\", alpha=\"0.16\", expect_size=\"51742720\"] \n  7 -> 25 [size =\"51742720\"]\n  7 -> 27 [size =\"51742720\"]\n  8 [size=\"122173440\", alpha=\"0.06\", expect_size=\"36652032\"] \n  8 -> 24 [size =\"36652032\"]\n  8 -> 25 [size =\"36652032\"]\n  8 -> 26 [size =\"36652032\"]\n  8 -> 29 [size =\"36652032\"]\n  9 [size=\"170929493\", alpha=\"0.04\", expect_size=\"51278848\"] \n  9 -> 23 [size =\"51278848\"]\n  9 -> 26 [size =\"51278848\"]\n  9 -> 27 [size =\"51278848\"]\n  9 -> 29 [size =\"51278848\"]\n  9 -> 30 [size =\"51278848\"]\n  10 [size=\"47418027\", alpha=\"0.03\", expect_size=\"14225408\"] \n  10 -> 23 [size =\"14225408\"]\n  10 -> 24 [size =\"14225408\"]\n  10 -> 25 [size =\"14225408\"]\n  10 -> 29 [size =\"14225408\"]\n  10 -> 30 [size =\"14225408\"]\n  11 [size=\"119473493\", alpha=\"0.15\", expect_size=\"35842048\"] \n  11 -> 25 [size =\"35842048\"]\n  11 -> 27 [size =\"35842048\"]\n  11 -> 29 [size =\"35842048\"]\n  11 -> 29 [size =\"35842048\"]\n  12 [size=\"173257387\", alpha=\"0.19\", expect_size=\"51977216\"] \n  12 -> 23 [size =\"51977216\"]\n  12 -> 25 [size =\"51977216\"]\n  12 -> 27 [size =\"51977216\"]\n  12 -> 29 [size =\"51977216\"]\n  13 [size=\"41949867\", alpha=\"0.18\", expect_size=\"12584960\"] \n  13 -> 24 [size =\"12584960\"]\n  13 -> 27 [size =\"12584960\"]\n  13 -> 28 [size =\"12584960\"]\n  13 -> 29 [size =\"12584960\"]\n  14 [size=\"173779627\", alpha=\"0.03\", expect_size=\"52133888\"] \n  14 -> 23 [size =\"52133888\"]\n  14 -> 25 [size =\"52133888\"]\n  14 -> 27 [size =\"52133888\"]\n  14 -> 29 [size =\"52133888\"]\n  15 [size=\"82240853\", alpha=\"0.03\", expect_size=\"24672256\"] \n  15 -> 25 [size =\"24672256\"]\n  15 -> 29 [size =\"24672256\"]\n  15 -> 30 [size =\"24672256\"]\n  16 [size=\"126252373\", alpha=\"0.10\", expect_size=\"37875712\"] \n  16 -> 24 [size =\"37875712\"]\n  16 -> 25 [size =\"37875712\"]\n  16 -> 26 [size =\"37875712\"]\n  16 -> 29 [size =\"37875712\"]\n  17 [size=\"56917333\", alpha=\"0.15\", expect_size=\"17075200\"] \n  17 -> 24 [size =\"17075200\"]\n  17 -> 25 [size =\"17075200\"]\n  17 -> 26 [size =\"17075200\"]\n  17 -> 29 [size =\"17075200\"]\n  18 [size=\"21899947\", alpha=\"0.12\", expect_size=\"6569984\"] \n  18 -> 23 [size =\"6569984\"]\n  18 -> 24 [size =\"6569984\"]\n  18 -> 25 [size =\"6569984\"]\n  18 -> 27 [size =\"6569984\"]\n  18 -> 28 [size =\"6569984\"]\n  18 -> 29 [size =\"6569984\"]\n  18 -> 30 [size =\"6569984\"]\n  19 [size=\"72949760\", alpha=\"0.09\", expect_size=\"21884928\"] \n  19 -> 24 [size =\"21884928\"]\n  19 -> 25 [size =\"21884928\"]\n  19 -> 29 [size =\"21884928\"]\n  20 [size=\"105693867\", alpha=\"0.07\", expect_size=\"31708160\"] \n  20 -> 24 [size =\"31708160\"]\n  20 -> 25 [size =\"31708160\"]\n  20 -> 26 [size =\"31708160\"]\n  20 -> 28 [size =\"31708160\"]\n  20 -> 29 [size =\"31708160\"]\n  20 -> 30 [size =\"31708160\"]\n  21 [size=\"130048000\", alpha=\"0.12\", expect_size=\"39014400\"] \n  21 -> 23 [size =\"39014400\"]\n  21 -> 24 [size =\"39014400\"]\n  21 -> 25 [size =\"39014400\"]\n  21 -> 26 [size =\"39014400\"]\n  21 -> 27 [size =\"39014400\"]\n  21 -> 29 [size =\"39014400\"]\n  21 -> 30 [size =\"39014400\"]\n  22 [size=\"87961600\", alpha=\"0.09\", expect_size=\"26388480\"] \n  22 -> 26 [size =\"26388480\"]\n  22 -> 29 [size =\"26388480\"]\n  22 -> 30 [size =\"26388480\"]\n  23 [size=\"80370347\", alpha=\"0.07\", expect_size=\"24111104\"] \n  24 [size=\"61409280\", alpha=\"0.13\", expect_size=\"18422784\"] \n  25 [size=\"83537920\", alpha=\"0.05\", expect_size=\"25061376\"] \n  26 [size=\"106379947\", alpha=\"0.20\", expect_size=\"31913984\"] \n  27 [size=\"28863147\", alpha=\"0.14\", expect_size=\"8658944\"] \n  28 [size=\"144254293\", alpha=\"0.02\", expect_size=\"43276288\"] \n  29 [size=\"82541227\", alpha=\"0.10\", expect_size=\"24762368\"] \n  30 [size=\"153852587\", alpha=\"0.01\", expect_size=\"46155776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29975040\", alpha=\"0.13\", expect_size=\"11990016\"] \n  1 -> 2 [size =\"11990016\"]\n  2 [size=\"85480960\", alpha=\"0.17\", expect_size=\"34192384\"] \n  2 -> 3 [size =\"34192384\"]\n  3 [size=\"93204480\", alpha=\"0.12\", expect_size=\"37281792\"] \n  3 -> 4 [size =\"37281792\"]\n  4 [size=\"49981440\", alpha=\"0.19\", expect_size=\"19992576\"] \n  4 -> 5 [size =\"19992576\"]\n  5 [size=\"79641600\", alpha=\"0.10\", expect_size=\"31856640\"] \n  5 -> 6 [size =\"31856640\"]\n  6 [size=\"110200320\", alpha=\"0.03\", expect_size=\"44080128\"] \n  6 -> 7 [size =\"44080128\"]\n  7 [size=\"17052160\", alpha=\"0.01\", expect_size=\"6820864\"] \n  7 -> 8 [size =\"6820864\"]\n  8 [size=\"33820160\", alpha=\"0.05\", expect_size=\"13528064\"] \n  8 -> 9 [size =\"13528064\"]\n  9 [size=\"24622080\", alpha=\"0.11\", expect_size=\"9848832\"] \n  9 -> 10 [size =\"9848832\"]\n  10 [size=\"73210880\", alpha=\"0.19\", expect_size=\"29284352\"] \n  10 -> 11 [size =\"29284352\"]\n  11 [size=\"113054720\", alpha=\"0.00\", expect_size=\"45221888\"] \n  11 -> 12 [size =\"45221888\"]\n  12 [size=\"68881920\", alpha=\"0.16\", expect_size=\"27552768\"] \n  12 -> 13 [size =\"27552768\"]\n  13 [size=\"49971200\", alpha=\"0.01\", expect_size=\"19988480\"] \n  13 -> 14 [size =\"19988480\"]\n  14 [size=\"120727040\", alpha=\"0.18\", expect_size=\"48290816\"] \n  14 -> 15 [size =\"48290816\"]\n  15 [size=\"116318720\", alpha=\"0.06\", expect_size=\"46527488\"] \n  15 -> 16 [size =\"46527488\"]\n  16 [size=\"56271360\", alpha=\"0.13\", expect_size=\"22508544\"] \n  16 -> 17 [size =\"22508544\"]\n  17 [size=\"73031680\", alpha=\"0.05\", expect_size=\"29212672\"] \n  17 -> 18 [size =\"29212672\"]\n  18 [size=\"77104640\", alpha=\"0.14\", expect_size=\"30841856\"] \n  18 -> 19 [size =\"30841856\"]\n  19 [size=\"104112640\", alpha=\"0.00\", expect_size=\"41645056\"] \n  19 -> 20 [size =\"41645056\"]\n  20 [size=\"48163840\", alpha=\"0.02\", expect_size=\"19265536\"] \n  20 -> 21 [size =\"19265536\"]\n  21 [size=\"40519680\", alpha=\"0.06\", expect_size=\"16207872\"] \n  21 -> 22 [size =\"16207872\"]\n  22 [size=\"41840640\", alpha=\"0.02\", expect_size=\"16736256\"] \n  22 -> 23 [size =\"16736256\"]\n  23 [size=\"19276800\", alpha=\"0.12\", expect_size=\"7710720\"] \n  23 -> 24 [size =\"7710720\"]\n  24 [size=\"25433600\", alpha=\"0.08\", expect_size=\"10173440\"] \n  24 -> 25 [size =\"10173440\"]\n  25 [size=\"13427200\", alpha=\"0.15\", expect_size=\"5370880\"] \n  25 -> 26 [size =\"5370880\"]\n  26 [size=\"50552320\", alpha=\"0.19\", expect_size=\"20220928\"] \n  26 -> 27 [size =\"20220928\"]\n  27 [size=\"128780800\", alpha=\"0.03\", expect_size=\"51512320\"] \n  27 -> 28 [size =\"51512320\"]\n  28 [size=\"42636800\", alpha=\"0.11\", expect_size=\"17054720\"] \n  28 -> 29 [size =\"17054720\"]\n  29 [size=\"127964160\", alpha=\"0.01\", expect_size=\"51185664\"] \n  29 -> 30 [size =\"51185664\"]\n  30 [size=\"130864640\", alpha=\"0.01\", expect_size=\"52345856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55598080\", alpha=\"0.01\", expect_size=\"22239232\"] \n  1 -> 2 [size =\"22239232\"]\n  2 [size=\"123207680\", alpha=\"0.03\", expect_size=\"49283072\"] \n  2 -> 3 [size =\"49283072\"]\n  3 [size=\"123673600\", alpha=\"0.20\", expect_size=\"49469440\"] \n  3 -> 4 [size =\"49469440\"]\n  4 [size=\"34109440\", alpha=\"0.17\", expect_size=\"13643776\"] \n  4 -> 5 [size =\"13643776\"]\n  5 [size=\"101427200\", alpha=\"0.20\", expect_size=\"40570880\"] \n  5 -> 6 [size =\"40570880\"]\n  6 [size=\"70379520\", alpha=\"0.20\", expect_size=\"28151808\"] \n  6 -> 7 [size =\"28151808\"]\n  7 [size=\"38801920\", alpha=\"0.04\", expect_size=\"15520768\"] \n  7 -> 8 [size =\"15520768\"]\n  8 [size=\"71705600\", alpha=\"0.16\", expect_size=\"28682240\"] \n  8 -> 9 [size =\"28682240\"]\n  9 [size=\"89950720\", alpha=\"0.11\", expect_size=\"35980288\"] \n  9 -> 10 [size =\"35980288\"]\n  10 [size=\"127667200\", alpha=\"0.02\", expect_size=\"51066880\"] \n  10 -> 11 [size =\"51066880\"]\n  11 [size=\"121920000\", alpha=\"0.11\", expect_size=\"48768000\"] \n  11 -> 12 [size =\"48768000\"]\n  12 [size=\"129251840\", alpha=\"0.18\", expect_size=\"51700736\"] \n  12 -> 13 [size =\"51700736\"]\n  13 [size=\"27883520\", alpha=\"0.17\", expect_size=\"11153408\"] \n  13 -> 14 [size =\"11153408\"]\n  14 [size=\"26268160\", alpha=\"0.12\", expect_size=\"10507264\"] \n  14 -> 15 [size =\"10507264\"]\n  15 [size=\"128030720\", alpha=\"0.05\", expect_size=\"51212288\"] \n  15 -> 16 [size =\"51212288\"]\n  16 [size=\"126615040\", alpha=\"0.04\", expect_size=\"50646016\"] \n  16 -> 17 [size =\"50646016\"]\n  17 [size=\"125957120\", alpha=\"0.06\", expect_size=\"50382848\"] \n  17 -> 18 [size =\"50382848\"]\n  18 [size=\"31720960\", alpha=\"0.06\", expect_size=\"12688384\"] \n  18 -> 19 [size =\"12688384\"]\n  19 [size=\"124899840\", alpha=\"0.13\", expect_size=\"49959936\"] \n  19 -> 20 [size =\"49959936\"]\n  20 [size=\"69672960\", alpha=\"0.13\", expect_size=\"27869184\"] \n  20 -> 21 [size =\"27869184\"]\n  21 [size=\"82682880\", alpha=\"0.19\", expect_size=\"33073152\"] \n  21 -> 22 [size =\"33073152\"]\n  22 [size=\"31833600\", alpha=\"0.05\", expect_size=\"12733440\"] \n  22 -> 23 [size =\"12733440\"]\n  23 [size=\"18344960\", alpha=\"0.09\", expect_size=\"7337984\"] \n  23 -> 24 [size =\"7337984\"]\n  24 [size=\"120504320\", alpha=\"0.16\", expect_size=\"48201728\"] \n  24 -> 25 [size =\"48201728\"]\n  25 [size=\"74880000\", alpha=\"0.19\", expect_size=\"29952000\"] \n  25 -> 26 [size =\"29952000\"]\n  26 [size=\"101742080\", alpha=\"0.11\", expect_size=\"40696832\"] \n  26 -> 27 [size =\"40696832\"]\n  27 [size=\"123735040\", alpha=\"0.08\", expect_size=\"49494016\"] \n  27 -> 28 [size =\"49494016\"]\n  28 [size=\"39016960\", alpha=\"0.14\", expect_size=\"15606784\"] \n  28 -> 29 [size =\"15606784\"]\n  29 [size=\"77166080\", alpha=\"0.14\", expect_size=\"30866432\"] \n  29 -> 30 [size =\"30866432\"]\n  30 [size=\"37181440\", alpha=\"0.13\", expect_size=\"14872576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24158720\", alpha=\"0.10\", expect_size=\"9663488\"] \n  1 -> 2 [size =\"9663488\"]\n  2 [size=\"104202240\", alpha=\"0.19\", expect_size=\"41680896\"] \n  2 -> 3 [size =\"41680896\"]\n  3 [size=\"38807040\", alpha=\"0.08\", expect_size=\"15522816\"] \n  3 -> 4 [size =\"15522816\"]\n  4 [size=\"21322240\", alpha=\"0.06\", expect_size=\"8528896\"] \n  4 -> 5 [size =\"8528896\"]\n  5 [size=\"67852800\", alpha=\"0.00\", expect_size=\"27141120\"] \n  5 -> 6 [size =\"27141120\"]\n  6 [size=\"93798400\", alpha=\"0.18\", expect_size=\"37519360\"] \n  6 -> 7 [size =\"37519360\"]\n  7 [size=\"124551680\", alpha=\"0.18\", expect_size=\"49820672\"] \n  7 -> 8 [size =\"49820672\"]\n  8 [size=\"115512320\", alpha=\"0.18\", expect_size=\"46204928\"] \n  8 -> 9 [size =\"46204928\"]\n  9 [size=\"103303680\", alpha=\"0.12\", expect_size=\"41321472\"] \n  9 -> 10 [size =\"41321472\"]\n  10 [size=\"13493760\", alpha=\"0.08\", expect_size=\"5397504\"] \n  10 -> 11 [size =\"5397504\"]\n  11 [size=\"22709760\", alpha=\"0.05\", expect_size=\"9083904\"] \n  11 -> 12 [size =\"9083904\"]\n  12 [size=\"83448320\", alpha=\"0.12\", expect_size=\"33379328\"] \n  12 -> 13 [size =\"33379328\"]\n  13 [size=\"78858240\", alpha=\"0.07\", expect_size=\"31543296\"] \n  13 -> 14 [size =\"31543296\"]\n  14 [size=\"125616640\", alpha=\"0.00\", expect_size=\"50246656\"] \n  14 -> 15 [size =\"50246656\"]\n  15 [size=\"42004480\", alpha=\"0.17\", expect_size=\"16801792\"] \n  15 -> 16 [size =\"16801792\"]\n  16 [size=\"44316160\", alpha=\"0.10\", expect_size=\"17726464\"] \n  16 -> 17 [size =\"17726464\"]\n  17 [size=\"31191040\", alpha=\"0.13\", expect_size=\"12476416\"] \n  17 -> 18 [size =\"12476416\"]\n  18 [size=\"21585920\", alpha=\"0.16\", expect_size=\"8634368\"] \n  18 -> 19 [size =\"8634368\"]\n  19 [size=\"129223680\", alpha=\"0.05\", expect_size=\"51689472\"] \n  19 -> 20 [size =\"51689472\"]\n  20 [size=\"83520000\", alpha=\"0.05\", expect_size=\"33408000\"] \n  20 -> 21 [size =\"33408000\"]\n  21 [size=\"127841280\", alpha=\"0.06\", expect_size=\"51136512\"] \n  21 -> 22 [size =\"51136512\"]\n  22 [size=\"37701120\", alpha=\"0.03\", expect_size=\"15080448\"] \n  22 -> 23 [size =\"15080448\"]\n  23 [size=\"107827200\", alpha=\"0.04\", expect_size=\"43130880\"] \n  23 -> 24 [size =\"43130880\"]\n  24 [size=\"29841920\", alpha=\"0.07\", expect_size=\"11936768\"] \n  24 -> 25 [size =\"11936768\"]\n  25 [size=\"32184320\", alpha=\"0.19\", expect_size=\"12873728\"] \n  25 -> 26 [size =\"12873728\"]\n  26 [size=\"16967680\", alpha=\"0.04\", expect_size=\"6787072\"] \n  26 -> 27 [size =\"6787072\"]\n  27 [size=\"74319360\", alpha=\"0.09\", expect_size=\"29727744\"] \n  27 -> 28 [size =\"29727744\"]\n  28 [size=\"30103040\", alpha=\"0.11\", expect_size=\"12041216\"] \n  28 -> 29 [size =\"12041216\"]\n  29 [size=\"126789120\", alpha=\"0.08\", expect_size=\"50715648\"] \n  29 -> 30 [size =\"50715648\"]\n  30 [size=\"40732160\", alpha=\"0.05\", expect_size=\"16292864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120954880\", alpha=\"0.14\", expect_size=\"36286464\"] \n  2 [size=\"45991253\", alpha=\"0.10\", expect_size=\"13797376\"] \n  2 -> 3 [size =\"13797376\"]\n  3 [size=\"54217387\", alpha=\"0.06\", expect_size=\"16265216\"] \n  3 -> 4 [size =\"16265216\"]\n  3 -> 5 [size =\"16265216\"]\n  4 [size=\"96457387\", alpha=\"0.09\", expect_size=\"28937216\"] \n  4 -> 6 [size =\"28937216\"]\n  5 [size=\"146957653\", alpha=\"0.11\", expect_size=\"44087296\"] \n  6 [size=\"152224427\", alpha=\"0.03\", expect_size=\"45667328\"] \n  6 -> 7 [size =\"45667328\"]\n  7 [size=\"61559467\", alpha=\"0.13\", expect_size=\"18467840\"] \n  7 -> 8 [size =\"18467840\"]\n  8 [size=\"115613013\", alpha=\"0.17\", expect_size=\"34683904\"] \n  8 -> 9 [size =\"34683904\"]\n  9 [size=\"154371413\", alpha=\"0.05\", expect_size=\"46311424\"] \n  9 -> 10 [size =\"46311424\"]\n  10 [size=\"55336960\", alpha=\"0.19\", expect_size=\"16601088\"] \n  10 -> 11 [size =\"16601088\"]\n  11 [size=\"121337173\", alpha=\"0.04\", expect_size=\"36401152\"] \n  11 -> 12 [size =\"36401152\"]\n  11 -> 13 [size =\"36401152\"]\n  12 [size=\"71424000\", alpha=\"0.03\", expect_size=\"21427200\"] \n  12 -> 14 [size =\"21427200\"]\n  13 [size=\"146408107\", alpha=\"0.10\", expect_size=\"43922432\"] \n  13 -> 14 [size =\"43922432\"]\n  14 [size=\"35645440\", alpha=\"0.13\", expect_size=\"10693632\"] \n  14 -> 15 [size =\"10693632\"]\n  15 [size=\"104966827\", alpha=\"0.03\", expect_size=\"31490048\"] \n  15 -> 16 [size =\"31490048\"]\n  16 [size=\"35140267\", alpha=\"0.03\", expect_size=\"10542080\"] \n  16 -> 17 [size =\"10542080\"]\n  17 [size=\"61975893\", alpha=\"0.08\", expect_size=\"18592768\"] \n  17 -> 18 [size =\"18592768\"]\n  17 -> 19 [size =\"18592768\"]\n  18 [size=\"164809387\", alpha=\"0.07\", expect_size=\"49442816\"] \n  18 -> 20 [size =\"49442816\"]\n  19 [size=\"141107200\", alpha=\"0.02\", expect_size=\"42332160\"] \n  19 -> 20 [size =\"42332160\"]\n  20 [size=\"26934613\", alpha=\"0.09\", expect_size=\"8080384\"] \n  20 -> 21 [size =\"8080384\"]\n  21 [size=\"19903147\", alpha=\"0.09\", expect_size=\"5970944\"] \n  21 -> 22 [size =\"5970944\"]\n  21 -> 23 [size =\"5970944\"]\n  22 [size=\"50001920\", alpha=\"0.12\", expect_size=\"15000576\"] \n  22 -> 24 [size =\"15000576\"]\n  23 [size=\"70696960\", alpha=\"0.00\", expect_size=\"21209088\"] \n  23 -> 24 [size =\"21209088\"]\n  24 [size=\"147155627\", alpha=\"0.19\", expect_size=\"44146688\"] \n  24 -> 25 [size =\"44146688\"]\n  25 [size=\"88927573\", alpha=\"0.13\", expect_size=\"26678272\"] \n  25 -> 26 [size =\"26678272\"]\n  25 -> 27 [size =\"26678272\"]\n  26 [size=\"115213653\", alpha=\"0.05\", expect_size=\"34564096\"] \n  27 [size=\"142714880\", alpha=\"0.03\", expect_size=\"42814464\"] \n  27 -> 28 [size =\"42814464\"]\n  27 -> 29 [size =\"42814464\"]\n  28 [size=\"49909760\", alpha=\"0.13\", expect_size=\"14972928\"] \n  28 -> 30 [size =\"14972928\"]\n  29 [size=\"106414080\", alpha=\"0.20\", expect_size=\"31924224\"] \n  30 [size=\"123873280\", alpha=\"0.12\", expect_size=\"37161984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97658880\", alpha=\"0.17\", expect_size=\"29297664\"] \n  1 -> 6 [size =\"29297664\"]\n  1 -> 10 [size =\"29297664\"]\n  2 [size=\"55183360\", alpha=\"0.19\", expect_size=\"16555008\"] \n  2 -> 6 [size =\"16555008\"]\n  2 -> 8 [size =\"16555008\"]\n  3 [size=\"105543680\", alpha=\"0.19\", expect_size=\"31663104\"] \n  3 -> 7 [size =\"31663104\"]\n  3 -> 8 [size =\"31663104\"]\n  4 [size=\"168895147\", alpha=\"0.16\", expect_size=\"50668544\"] \n  4 -> 9 [size =\"50668544\"]\n  5 [size=\"32778240\", alpha=\"0.04\", expect_size=\"9833472\"] \n  5 -> 6 [size =\"9833472\"]\n  6 [size=\"165468160\", alpha=\"0.19\", expect_size=\"49640448\"] \n  6 -> 11 [size =\"49640448\"]\n  6 -> 13 [size =\"49640448\"]\n  7 [size=\"81605973\", alpha=\"0.07\", expect_size=\"24481792\"] \n  8 [size=\"122815147\", alpha=\"0.09\", expect_size=\"36844544\"] \n  8 -> 11 [size =\"36844544\"]\n  8 -> 12 [size =\"36844544\"]\n  9 [size=\"93682347\", alpha=\"0.15\", expect_size=\"28104704\"] \n  9 -> 12 [size =\"28104704\"]\n  9 -> 13 [size =\"28104704\"]\n  9 -> 14 [size =\"28104704\"]\n  10 [size=\"157218133\", alpha=\"0.05\", expect_size=\"47165440\"] \n  10 -> 13 [size =\"47165440\"]\n  11 [size=\"46376960\", alpha=\"0.01\", expect_size=\"13913088\"] \n  11 -> 16 [size =\"13913088\"]\n  12 [size=\"20841813\", alpha=\"0.10\", expect_size=\"6252544\"] \n  12 -> 15 [size =\"6252544\"]\n  12 -> 17 [size =\"6252544\"]\n  13 [size=\"173834240\", alpha=\"0.06\", expect_size=\"52150272\"] \n  13 -> 17 [size =\"52150272\"]\n  13 -> 18 [size =\"52150272\"]\n  14 [size=\"165809493\", alpha=\"0.09\", expect_size=\"49742848\"] \n  15 [size=\"135973547\", alpha=\"0.09\", expect_size=\"40792064\"] \n  15 -> 19 [size =\"40792064\"]\n  15 -> 20 [size =\"40792064\"]\n  15 -> 21 [size =\"40792064\"]\n  16 [size=\"166836907\", alpha=\"0.03\", expect_size=\"50051072\"] \n  16 -> 20 [size =\"50051072\"]\n  17 [size=\"160058027\", alpha=\"0.06\", expect_size=\"48017408\"] \n  17 -> 19 [size =\"48017408\"]\n  17 -> 21 [size =\"48017408\"]\n  18 [size=\"55784107\", alpha=\"0.05\", expect_size=\"16735232\"] \n  18 -> 20 [size =\"16735232\"]\n  18 -> 21 [size =\"16735232\"]\n  18 -> 22 [size =\"16735232\"]\n  18 -> 23 [size =\"16735232\"]\n  19 [size=\"129576960\", alpha=\"0.19\", expect_size=\"38873088\"] \n  19 -> 24 [size =\"38873088\"]\n  20 [size=\"86784000\", alpha=\"0.05\", expect_size=\"26035200\"] \n  20 -> 26 [size =\"26035200\"]\n  20 -> 27 [size =\"26035200\"]\n  21 [size=\"124931413\", alpha=\"0.01\", expect_size=\"37479424\"] \n  21 -> 28 [size =\"37479424\"]\n  22 [size=\"135342080\", alpha=\"0.02\", expect_size=\"40602624\"] \n  22 -> 26 [size =\"40602624\"]\n  22 -> 27 [size =\"40602624\"]\n  23 [size=\"54456320\", alpha=\"0.15\", expect_size=\"16336896\"] \n  23 -> 24 [size =\"16336896\"]\n  23 -> 25 [size =\"16336896\"]\n  23 -> 26 [size =\"16336896\"]\n  23 -> 27 [size =\"16336896\"]\n  23 -> 28 [size =\"16336896\"]\n  24 [size=\"98727253\", alpha=\"0.06\", expect_size=\"29618176\"] \n  24 -> 29 [size =\"29618176\"]\n  24 -> 30 [size =\"29618176\"]\n  25 [size=\"165857280\", alpha=\"0.19\", expect_size=\"49757184\"] \n  26 [size=\"79564800\", alpha=\"0.11\", expect_size=\"23869440\"] \n  27 [size=\"99546453\", alpha=\"0.12\", expect_size=\"29863936\"] \n  27 -> 29 [size =\"29863936\"]\n  28 [size=\"148026027\", alpha=\"0.05\", expect_size=\"44407808\"] \n  28 -> 29 [size =\"44407808\"]\n  29 [size=\"29754027\", alpha=\"0.09\", expect_size=\"8926208\"] \n  30 [size=\"24838827\", alpha=\"0.10\", expect_size=\"7451648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34844160\", alpha=\"0.17\", expect_size=\"13937664\"] \n  2 [size=\"85969920\", alpha=\"0.16\", expect_size=\"34387968\"] \n  2 -> 13 [size =\"34387968\"]\n  2 -> 16 [size =\"34387968\"]\n  3 [size=\"64471040\", alpha=\"0.06\", expect_size=\"25788416\"] \n  3 -> 13 [size =\"25788416\"]\n  3 -> 14 [size =\"25788416\"]\n  3 -> 16 [size =\"25788416\"]\n  4 [size=\"64857600\", alpha=\"0.12\", expect_size=\"25943040\"] \n  4 -> 9 [size =\"25943040\"]\n  4 -> 12 [size =\"25943040\"]\n  4 -> 13 [size =\"25943040\"]\n  4 -> 14 [size =\"25943040\"]\n  4 -> 16 [size =\"25943040\"]\n  5 [size=\"24826880\", alpha=\"0.06\", expect_size=\"9930752\"] \n  5 -> 10 [size =\"9930752\"]\n  5 -> 12 [size =\"9930752\"]\n  5 -> 14 [size =\"9930752\"]\n  5 -> 15 [size =\"9930752\"]\n  5 -> 16 [size =\"9930752\"]\n  6 [size=\"34536960\", alpha=\"0.15\", expect_size=\"13814784\"] \n  6 -> 10 [size =\"13814784\"]\n  6 -> 15 [size =\"13814784\"]\n  6 -> 17 [size =\"13814784\"]\n  7 [size=\"49712640\", alpha=\"0.04\", expect_size=\"19885056\"] \n  7 -> 8 [size =\"19885056\"]\n  7 -> 11 [size =\"19885056\"]\n  7 -> 17 [size =\"19885056\"]\n  8 [size=\"86625280\", alpha=\"0.16\", expect_size=\"34650112\"] \n  8 -> 27 [size =\"34650112\"]\n  8 -> 28 [size =\"34650112\"]\n  9 [size=\"88596480\", alpha=\"0.01\", expect_size=\"35438592\"] \n  9 -> 22 [size =\"35438592\"]\n  9 -> 24 [size =\"35438592\"]\n  10 [size=\"92280320\", alpha=\"0.19\", expect_size=\"36912128\"] \n  10 -> 19 [size =\"36912128\"]\n  10 -> 22 [size =\"36912128\"]\n  10 -> 24 [size =\"36912128\"]\n  10 -> 25 [size =\"36912128\"]\n  10 -> 27 [size =\"36912128\"]\n  11 [size=\"125258240\", alpha=\"0.06\", expect_size=\"50103296\"] \n  11 -> 24 [size =\"50103296\"]\n  11 -> 26 [size =\"50103296\"]\n  12 [size=\"105280000\", alpha=\"0.17\", expect_size=\"42112000\"] \n  12 -> 24 [size =\"42112000\"]\n  13 [size=\"78837760\", alpha=\"0.08\", expect_size=\"31535104\"] \n  13 -> 18 [size =\"31535104\"]\n  13 -> 20 [size =\"31535104\"]\n  13 -> 21 [size =\"31535104\"]\n  13 -> 23 [size =\"31535104\"]\n  13 -> 24 [size =\"31535104\"]\n  13 -> 26 [size =\"31535104\"]\n  14 [size=\"111411200\", alpha=\"0.02\", expect_size=\"44564480\"] \n  14 -> 26 [size =\"44564480\"]\n  14 -> 27 [size =\"44564480\"]\n  14 -> 28 [size =\"44564480\"]\n  15 [size=\"64609280\", alpha=\"0.18\", expect_size=\"25843712\"] \n  15 -> 22 [size =\"25843712\"]\n  15 -> 27 [size =\"25843712\"]\n  15 -> 29 [size =\"25843712\"]\n  16 [size=\"99709440\", alpha=\"0.12\", expect_size=\"39883776\"] \n  16 -> 23 [size =\"39883776\"]\n  16 -> 27 [size =\"39883776\"]\n  17 [size=\"72983040\", alpha=\"0.00\", expect_size=\"29193216\"] \n  17 -> 23 [size =\"29193216\"]\n  17 -> 26 [size =\"29193216\"]\n  18 [size=\"93744640\", alpha=\"0.02\", expect_size=\"37497856\"] \n  19 [size=\"71142400\", alpha=\"0.09\", expect_size=\"28456960\"] \n  20 [size=\"78161920\", alpha=\"0.07\", expect_size=\"31264768\"] \n  21 [size=\"72133120\", alpha=\"0.09\", expect_size=\"28853248\"] \n  22 [size=\"104962560\", alpha=\"0.04\", expect_size=\"41985024\"] \n  23 [size=\"87587840\", alpha=\"0.07\", expect_size=\"35035136\"] \n  24 [size=\"16312320\", alpha=\"0.20\", expect_size=\"6524928\"] \n  25 [size=\"26176000\", alpha=\"0.14\", expect_size=\"10470400\"] \n  26 [size=\"14778880\", alpha=\"0.11\", expect_size=\"5911552\"] \n  26 -> 30 [size =\"5911552\"]\n  27 [size=\"87792640\", alpha=\"0.15\", expect_size=\"35117056\"] \n  27 -> 30 [size =\"35117056\"]\n  28 [size=\"88209920\", alpha=\"0.12\", expect_size=\"35283968\"] \n  29 [size=\"98355200\", alpha=\"0.01\", expect_size=\"39342080\"] \n  29 -> 30 [size =\"39342080\"]\n  30 [size=\"30584320\", alpha=\"0.04\", expect_size=\"12233728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105653760\", alpha=\"0.07\", expect_size=\"42261504\"] \n  1 -> 2 [size =\"42261504\"]\n  2 [size=\"104819200\", alpha=\"0.18\", expect_size=\"41927680\"] \n  2 -> 3 [size =\"41927680\"]\n  3 [size=\"77544960\", alpha=\"0.12\", expect_size=\"31017984\"] \n  3 -> 4 [size =\"31017984\"]\n  4 [size=\"40104960\", alpha=\"0.01\", expect_size=\"16041984\"] \n  4 -> 5 [size =\"16041984\"]\n  5 [size=\"82967040\", alpha=\"0.12\", expect_size=\"33186816\"] \n  5 -> 6 [size =\"33186816\"]\n  6 [size=\"43645440\", alpha=\"0.01\", expect_size=\"17458176\"] \n  6 -> 7 [size =\"17458176\"]\n  7 [size=\"25116160\", alpha=\"0.01\", expect_size=\"10046464\"] \n  7 -> 8 [size =\"10046464\"]\n  8 [size=\"125813760\", alpha=\"0.06\", expect_size=\"50325504\"] \n  8 -> 9 [size =\"50325504\"]\n  9 [size=\"80826880\", alpha=\"0.07\", expect_size=\"32330752\"] \n  9 -> 10 [size =\"32330752\"]\n  10 [size=\"20894720\", alpha=\"0.13\", expect_size=\"8357888\"] \n  10 -> 11 [size =\"8357888\"]\n  11 [size=\"74567680\", alpha=\"0.15\", expect_size=\"29827072\"] \n  11 -> 12 [size =\"29827072\"]\n  12 [size=\"118120960\", alpha=\"0.04\", expect_size=\"47248384\"] \n  12 -> 13 [size =\"47248384\"]\n  13 [size=\"108505600\", alpha=\"0.15\", expect_size=\"43402240\"] \n  13 -> 14 [size =\"43402240\"]\n  14 [size=\"63992320\", alpha=\"0.04\", expect_size=\"25596928\"] \n  14 -> 15 [size =\"25596928\"]\n  15 [size=\"72588800\", alpha=\"0.05\", expect_size=\"29035520\"] \n  15 -> 16 [size =\"29035520\"]\n  16 [size=\"26618880\", alpha=\"0.07\", expect_size=\"10647552\"] \n  16 -> 17 [size =\"10647552\"]\n  17 [size=\"34567680\", alpha=\"0.02\", expect_size=\"13827072\"] \n  17 -> 18 [size =\"13827072\"]\n  18 [size=\"42403840\", alpha=\"0.14\", expect_size=\"16961536\"] \n  18 -> 19 [size =\"16961536\"]\n  19 [size=\"74859520\", alpha=\"0.20\", expect_size=\"29943808\"] \n  19 -> 20 [size =\"29943808\"]\n  20 [size=\"116001280\", alpha=\"0.09\", expect_size=\"46400512\"] \n  20 -> 21 [size =\"46400512\"]\n  21 [size=\"76410880\", alpha=\"0.13\", expect_size=\"30564352\"] \n  21 -> 22 [size =\"30564352\"]\n  22 [size=\"44162560\", alpha=\"0.14\", expect_size=\"17665024\"] \n  22 -> 23 [size =\"17665024\"]\n  23 [size=\"68595200\", alpha=\"0.05\", expect_size=\"27438080\"] \n  23 -> 24 [size =\"27438080\"]\n  24 [size=\"37747200\", alpha=\"0.01\", expect_size=\"15098880\"] \n  24 -> 25 [size =\"15098880\"]\n  25 [size=\"62878720\", alpha=\"0.08\", expect_size=\"25151488\"] \n  25 -> 26 [size =\"25151488\"]\n  26 [size=\"94016000\", alpha=\"0.01\", expect_size=\"37606400\"] \n  26 -> 27 [size =\"37606400\"]\n  27 [size=\"15521280\", alpha=\"0.16\", expect_size=\"6208512\"] \n  27 -> 28 [size =\"6208512\"]\n  28 [size=\"25661440\", alpha=\"0.10\", expect_size=\"10264576\"] \n  28 -> 29 [size =\"10264576\"]\n  29 [size=\"110056960\", alpha=\"0.16\", expect_size=\"44022784\"] \n  29 -> 30 [size =\"44022784\"]\n  30 [size=\"107159040\", alpha=\"0.02\", expect_size=\"42863616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48693760\", alpha=\"0.10\", expect_size=\"19477504\"] \n  1 -> 10 [size =\"19477504\"]\n  2 [size=\"95290880\", alpha=\"0.13\", expect_size=\"38116352\"] \n  2 -> 8 [size =\"38116352\"]\n  3 [size=\"32117760\", alpha=\"0.07\", expect_size=\"12847104\"] \n  3 -> 8 [size =\"12847104\"]\n  3 -> 9 [size =\"12847104\"]\n  4 [size=\"58490880\", alpha=\"0.07\", expect_size=\"23396352\"] \n  4 -> 9 [size =\"23396352\"]\n  5 [size=\"14758400\", alpha=\"0.03\", expect_size=\"5903360\"] \n  5 -> 9 [size =\"5903360\"]\n  6 [size=\"57856000\", alpha=\"0.11\", expect_size=\"23142400\"] \n  6 -> 8 [size =\"23142400\"]\n  6 -> 9 [size =\"23142400\"]\n  7 [size=\"123200000\", alpha=\"0.00\", expect_size=\"49280000\"] \n  7 -> 9 [size =\"49280000\"]\n  8 [size=\"25891840\", alpha=\"0.20\", expect_size=\"10356736\"] \n  8 -> 11 [size =\"10356736\"]\n  8 -> 13 [size =\"10356736\"]\n  9 [size=\"54794240\", alpha=\"0.01\", expect_size=\"21917696\"] \n  9 -> 12 [size =\"21917696\"]\n  10 [size=\"104675840\", alpha=\"0.17\", expect_size=\"41870336\"] \n  11 [size=\"81177600\", alpha=\"0.19\", expect_size=\"32471040\"] \n  11 -> 14 [size =\"32471040\"]\n  12 [size=\"19484160\", alpha=\"0.17\", expect_size=\"7793664\"] \n  13 [size=\"96212480\", alpha=\"0.16\", expect_size=\"38484992\"] \n  13 -> 15 [size =\"38484992\"]\n  14 [size=\"17361920\", alpha=\"0.08\", expect_size=\"6944768\"] \n  14 -> 16 [size =\"6944768\"]\n  14 -> 17 [size =\"6944768\"]\n  14 -> 18 [size =\"6944768\"]\n  15 [size=\"57036800\", alpha=\"0.08\", expect_size=\"22814720\"] \n  15 -> 16 [size =\"22814720\"]\n  15 -> 17 [size =\"22814720\"]\n  15 -> 18 [size =\"22814720\"]\n  15 -> 19 [size =\"22814720\"]\n  16 [size=\"72460800\", alpha=\"0.10\", expect_size=\"28984320\"] \n  16 -> 20 [size =\"28984320\"]\n  16 -> 21 [size =\"28984320\"]\n  16 -> 22 [size =\"28984320\"]\n  17 [size=\"19609600\", alpha=\"0.02\", expect_size=\"7843840\"] \n  17 -> 20 [size =\"7843840\"]\n  17 -> 22 [size =\"7843840\"]\n  18 [size=\"22497280\", alpha=\"0.13\", expect_size=\"8998912\"] \n  18 -> 20 [size =\"8998912\"]\n  19 [size=\"21634560\", alpha=\"0.06\", expect_size=\"8653824\"] \n  19 -> 22 [size =\"8653824\"]\n  20 [size=\"28352000\", alpha=\"0.03\", expect_size=\"11340800\"] \n  20 -> 28 [size =\"11340800\"]\n  21 [size=\"127078400\", alpha=\"0.07\", expect_size=\"50831360\"] \n  21 -> 25 [size =\"50831360\"]\n  21 -> 27 [size =\"50831360\"]\n  21 -> 28 [size =\"50831360\"]\n  22 [size=\"122112000\", alpha=\"0.04\", expect_size=\"48844800\"] \n  22 -> 23 [size =\"48844800\"]\n  22 -> 24 [size =\"48844800\"]\n  22 -> 26 [size =\"48844800\"]\n  23 [size=\"104076800\", alpha=\"0.05\", expect_size=\"41630720\"] \n  23 -> 29 [size =\"41630720\"]\n  24 [size=\"80294400\", alpha=\"0.13\", expect_size=\"32117760\"] \n  24 -> 29 [size =\"32117760\"]\n  24 -> 30 [size =\"32117760\"]\n  25 [size=\"125171200\", alpha=\"0.02\", expect_size=\"50068480\"] \n  25 -> 29 [size =\"50068480\"]\n  25 -> 30 [size =\"50068480\"]\n  26 [size=\"52602880\", alpha=\"0.18\", expect_size=\"21041152\"] \n  26 -> 29 [size =\"21041152\"]\n  26 -> 30 [size =\"21041152\"]\n  27 [size=\"111121920\", alpha=\"0.12\", expect_size=\"44448768\"] \n  27 -> 30 [size =\"44448768\"]\n  28 [size=\"123678720\", alpha=\"0.09\", expect_size=\"49471488\"] \n  29 [size=\"82821120\", alpha=\"0.13\", expect_size=\"33128448\"] \n  30 [size=\"118784000\", alpha=\"0.13\", expect_size=\"47513600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141100373\", alpha=\"0.20\", expect_size=\"42330112\"] \n  1 -> 16 [size =\"42330112\"]\n  1 -> 17 [size =\"42330112\"]\n  1 -> 18 [size =\"42330112\"]\n  1 -> 20 [size =\"42330112\"]\n  2 [size=\"156672000\", alpha=\"0.16\", expect_size=\"47001600\"] \n  2 -> 13 [size =\"47001600\"]\n  2 -> 16 [size =\"47001600\"]\n  2 -> 17 [size =\"47001600\"]\n  2 -> 18 [size =\"47001600\"]\n  2 -> 19 [size =\"47001600\"]\n  3 [size=\"94388907\", alpha=\"0.04\", expect_size=\"28316672\"] \n  3 -> 12 [size =\"28316672\"]\n  3 -> 14 [size =\"28316672\"]\n  3 -> 16 [size =\"28316672\"]\n  4 [size=\"134772053\", alpha=\"0.07\", expect_size=\"40431616\"] \n  4 -> 12 [size =\"40431616\"]\n  4 -> 13 [size =\"40431616\"]\n  4 -> 16 [size =\"40431616\"]\n  4 -> 18 [size =\"40431616\"]\n  5 [size=\"125231787\", alpha=\"0.19\", expect_size=\"37569536\"] \n  5 -> 13 [size =\"37569536\"]\n  5 -> 16 [size =\"37569536\"]\n  5 -> 16 [size =\"37569536\"]\n  5 -> 18 [size =\"37569536\"]\n  5 -> 19 [size =\"37569536\"]\n  6 [size=\"119490560\", alpha=\"0.02\", expect_size=\"35847168\"] \n  6 -> 15 [size =\"35847168\"]\n  6 -> 18 [size =\"35847168\"]\n  6 -> 19 [size =\"35847168\"]\n  7 [size=\"99730773\", alpha=\"0.11\", expect_size=\"29919232\"] \n  7 -> 12 [size =\"29919232\"]\n  7 -> 17 [size =\"29919232\"]\n  7 -> 19 [size =\"29919232\"]\n  7 -> 21 [size =\"29919232\"]\n  8 [size=\"95310507\", alpha=\"0.20\", expect_size=\"28593152\"] \n  8 -> 12 [size =\"28593152\"]\n  8 -> 13 [size =\"28593152\"]\n  8 -> 17 [size =\"28593152\"]\n  8 -> 19 [size =\"28593152\"]\n  8 -> 21 [size =\"28593152\"]\n  9 [size=\"126170453\", alpha=\"0.05\", expect_size=\"37851136\"] \n  9 -> 13 [size =\"37851136\"]\n  9 -> 13 [size =\"37851136\"]\n  9 -> 16 [size =\"37851136\"]\n  9 -> 17 [size =\"37851136\"]\n  9 -> 21 [size =\"37851136\"]\n  10 [size=\"76107093\", alpha=\"0.09\", expect_size=\"22832128\"] \n  10 -> 13 [size =\"22832128\"]\n  10 -> 17 [size =\"22832128\"]\n  10 -> 21 [size =\"22832128\"]\n  11 [size=\"29030400\", alpha=\"0.02\", expect_size=\"8709120\"] \n  11 -> 16 [size =\"8709120\"]\n  11 -> 17 [size =\"8709120\"]\n  11 -> 18 [size =\"8709120\"]\n  11 -> 19 [size =\"8709120\"]\n  11 -> 21 [size =\"8709120\"]\n  12 [size=\"28651520\", alpha=\"0.01\", expect_size=\"8595456\"] \n  12 -> 23 [size =\"8595456\"]\n  12 -> 24 [size =\"8595456\"]\n  12 -> 24 [size =\"8595456\"]\n  12 -> 27 [size =\"8595456\"]\n  12 -> 29 [size =\"8595456\"]\n  13 [size=\"152139093\", alpha=\"0.01\", expect_size=\"45641728\"] \n  13 -> 23 [size =\"45641728\"]\n  13 -> 27 [size =\"45641728\"]\n  13 -> 28 [size =\"45641728\"]\n  13 -> 29 [size =\"45641728\"]\n  14 [size=\"24064000\", alpha=\"0.14\", expect_size=\"7219200\"] \n  14 -> 24 [size =\"7219200\"]\n  14 -> 27 [size =\"7219200\"]\n  14 -> 29 [size =\"7219200\"]\n  15 [size=\"81216853\", alpha=\"0.12\", expect_size=\"24365056\"] \n  15 -> 27 [size =\"24365056\"]\n  16 [size=\"74932907\", alpha=\"0.05\", expect_size=\"22479872\"] \n  16 -> 23 [size =\"22479872\"]\n  16 -> 28 [size =\"22479872\"]\n  16 -> 29 [size =\"22479872\"]\n  17 [size=\"91125760\", alpha=\"0.07\", expect_size=\"27337728\"] \n  17 -> 23 [size =\"27337728\"]\n  17 -> 25 [size =\"27337728\"]\n  17 -> 27 [size =\"27337728\"]\n  17 -> 29 [size =\"27337728\"]\n  18 [size=\"21705387\", alpha=\"0.14\", expect_size=\"6511616\"] \n  18 -> 22 [size =\"6511616\"]\n  18 -> 23 [size =\"6511616\"]\n  18 -> 24 [size =\"6511616\"]\n  19 [size=\"19722240\", alpha=\"0.18\", expect_size=\"5916672\"] \n  19 -> 22 [size =\"5916672\"]\n  19 -> 23 [size =\"5916672\"]\n  19 -> 27 [size =\"5916672\"]\n  19 -> 28 [size =\"5916672\"]\n  20 [size=\"60999680\", alpha=\"0.14\", expect_size=\"18299904\"] \n  20 -> 24 [size =\"18299904\"]\n  20 -> 25 [size =\"18299904\"]\n  21 [size=\"134659413\", alpha=\"0.05\", expect_size=\"40397824\"] \n  21 -> 22 [size =\"40397824\"]\n  21 -> 23 [size =\"40397824\"]\n  21 -> 24 [size =\"40397824\"]\n  21 -> 25 [size =\"40397824\"]\n  21 -> 26 [size =\"40397824\"]\n  21 -> 27 [size =\"40397824\"]\n  21 -> 28 [size =\"40397824\"]\n  22 [size=\"154013013\", alpha=\"0.14\", expect_size=\"46203904\"] \n  22 -> 30 [size =\"46203904\"]\n  23 [size=\"158829227\", alpha=\"0.13\", expect_size=\"47648768\"] \n  24 [size=\"165891413\", alpha=\"0.07\", expect_size=\"49767424\"] \n  25 [size=\"115838293\", alpha=\"0.14\", expect_size=\"34751488\"] \n  25 -> 30 [size =\"34751488\"]\n  26 [size=\"50705067\", alpha=\"0.15\", expect_size=\"15211520\"] \n  26 -> 30 [size =\"15211520\"]\n  27 [size=\"87435947\", alpha=\"0.06\", expect_size=\"26230784\"] \n  28 [size=\"141175467\", alpha=\"0.06\", expect_size=\"42352640\"] \n  29 [size=\"90552320\", alpha=\"0.01\", expect_size=\"27165696\"] \n  30 [size=\"73956693\", alpha=\"0.03\", expect_size=\"22187008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39823360\", alpha=\"0.03\", expect_size=\"19911680\"] \n  1 -> 21 [size =\"19911680\"]\n  1 -> 22 [size =\"19911680\"]\n  1 -> 23 [size =\"19911680\"]\n  1 -> 27 [size =\"19911680\"]\n  2 [size=\"19562496\", alpha=\"0.10\", expect_size=\"9781248\"] \n  2 -> 21 [size =\"9781248\"]\n  2 -> 23 [size =\"9781248\"]\n  2 -> 23 [size =\"9781248\"]\n  2 -> 24 [size =\"9781248\"]\n  2 -> 25 [size =\"9781248\"]\n  3 [size=\"12232704\", alpha=\"0.00\", expect_size=\"6116352\"] \n  3 -> 21 [size =\"6116352\"]\n  3 -> 23 [size =\"6116352\"]\n  3 -> 24 [size =\"6116352\"]\n  3 -> 29 [size =\"6116352\"]\n  3 -> 30 [size =\"6116352\"]\n  4 [size=\"89595904\", alpha=\"0.07\", expect_size=\"44797952\"] \n  4 -> 21 [size =\"44797952\"]\n  4 -> 22 [size =\"44797952\"]\n  4 -> 23 [size =\"44797952\"]\n  4 -> 24 [size =\"44797952\"]\n  4 -> 25 [size =\"44797952\"]\n  4 -> 26 [size =\"44797952\"]\n  4 -> 27 [size =\"44797952\"]\n  4 -> 28 [size =\"44797952\"]\n  4 -> 29 [size =\"44797952\"]\n  5 [size=\"21866496\", alpha=\"0.01\", expect_size=\"10933248\"] \n  5 -> 22 [size =\"10933248\"]\n  5 -> 23 [size =\"10933248\"]\n  5 -> 24 [size =\"10933248\"]\n  5 -> 25 [size =\"10933248\"]\n  5 -> 27 [size =\"10933248\"]\n  5 -> 28 [size =\"10933248\"]\n  6 [size=\"98598912\", alpha=\"0.20\", expect_size=\"49299456\"] \n  6 -> 21 [size =\"49299456\"]\n  6 -> 24 [size =\"49299456\"]\n  6 -> 25 [size =\"49299456\"]\n  6 -> 25 [size =\"49299456\"]\n  6 -> 27 [size =\"49299456\"]\n  6 -> 28 [size =\"49299456\"]\n  7 [size=\"38234112\", alpha=\"0.19\", expect_size=\"19117056\"] \n  7 -> 21 [size =\"19117056\"]\n  7 -> 24 [size =\"19117056\"]\n  7 -> 25 [size =\"19117056\"]\n  7 -> 27 [size =\"19117056\"]\n  7 -> 28 [size =\"19117056\"]\n  7 -> 29 [size =\"19117056\"]\n  8 [size=\"90974208\", alpha=\"0.19\", expect_size=\"45487104\"] \n  8 -> 21 [size =\"45487104\"]\n  8 -> 25 [size =\"45487104\"]\n  8 -> 29 [size =\"45487104\"]\n  8 -> 30 [size =\"45487104\"]\n  9 [size=\"82173952\", alpha=\"0.08\", expect_size=\"41086976\"] \n  9 -> 21 [size =\"41086976\"]\n  9 -> 22 [size =\"41086976\"]\n  9 -> 23 [size =\"41086976\"]\n  9 -> 25 [size =\"41086976\"]\n  9 -> 27 [size =\"41086976\"]\n  9 -> 29 [size =\"41086976\"]\n  9 -> 30 [size =\"41086976\"]\n  10 [size=\"90605568\", alpha=\"0.16\", expect_size=\"45302784\"] \n  10 -> 21 [size =\"45302784\"]\n  10 -> 23 [size =\"45302784\"]\n  10 -> 25 [size =\"45302784\"]\n  10 -> 27 [size =\"45302784\"]\n  10 -> 27 [size =\"45302784\"]\n  10 -> 29 [size =\"45302784\"]\n  10 -> 30 [size =\"45302784\"]\n  11 [size=\"80689152\", alpha=\"0.02\", expect_size=\"40344576\"] \n  11 -> 21 [size =\"40344576\"]\n  11 -> 23 [size =\"40344576\"]\n  11 -> 24 [size =\"40344576\"]\n  11 -> 25 [size =\"40344576\"]\n  11 -> 27 [size =\"40344576\"]\n  11 -> 29 [size =\"40344576\"]\n  11 -> 30 [size =\"40344576\"]\n  12 [size=\"95428608\", alpha=\"0.17\", expect_size=\"47714304\"] \n  12 -> 23 [size =\"47714304\"]\n  12 -> 24 [size =\"47714304\"]\n  12 -> 25 [size =\"47714304\"]\n  12 -> 27 [size =\"47714304\"]\n  12 -> 28 [size =\"47714304\"]\n  12 -> 29 [size =\"47714304\"]\n  12 -> 30 [size =\"47714304\"]\n  13 [size=\"46131200\", alpha=\"0.16\", expect_size=\"23065600\"] \n  13 -> 22 [size =\"23065600\"]\n  13 -> 23 [size =\"23065600\"]\n  13 -> 25 [size =\"23065600\"]\n  13 -> 27 [size =\"23065600\"]\n  13 -> 28 [size =\"23065600\"]\n  13 -> 29 [size =\"23065600\"]\n  13 -> 30 [size =\"23065600\"]\n  14 [size=\"47173632\", alpha=\"0.16\", expect_size=\"23586816\"] \n  14 -> 23 [size =\"23586816\"]\n  14 -> 23 [size =\"23586816\"]\n  14 -> 27 [size =\"23586816\"]\n  14 -> 27 [size =\"23586816\"]\n  14 -> 28 [size =\"23586816\"]\n  14 -> 29 [size =\"23586816\"]\n  15 [size=\"80488448\", alpha=\"0.11\", expect_size=\"40244224\"] \n  15 -> 22 [size =\"40244224\"]\n  15 -> 24 [size =\"40244224\"]\n  15 -> 29 [size =\"40244224\"]\n  16 [size=\"85460992\", alpha=\"0.18\", expect_size=\"42730496\"] \n  16 -> 22 [size =\"42730496\"]\n  16 -> 23 [size =\"42730496\"]\n  16 -> 29 [size =\"42730496\"]\n  17 [size=\"83329024\", alpha=\"0.13\", expect_size=\"41664512\"] \n  17 -> 22 [size =\"41664512\"]\n  17 -> 23 [size =\"41664512\"]\n  17 -> 25 [size =\"41664512\"]\n  17 -> 27 [size =\"41664512\"]\n  17 -> 28 [size =\"41664512\"]\n  17 -> 29 [size =\"41664512\"]\n  18 [size=\"77152256\", alpha=\"0.13\", expect_size=\"38576128\"] \n  18 -> 23 [size =\"38576128\"]\n  18 -> 27 [size =\"38576128\"]\n  18 -> 29 [size =\"38576128\"]\n  19 [size=\"73402368\", alpha=\"0.01\", expect_size=\"36701184\"] \n  19 -> 22 [size =\"36701184\"]\n  19 -> 23 [size =\"36701184\"]\n  19 -> 27 [size =\"36701184\"]\n  19 -> 29 [size =\"36701184\"]\n  20 [size=\"15249408\", alpha=\"0.10\", expect_size=\"7624704\"] \n  20 -> 22 [size =\"7624704\"]\n  20 -> 23 [size =\"7624704\"]\n  20 -> 24 [size =\"7624704\"]\n  20 -> 27 [size =\"7624704\"]\n  20 -> 28 [size =\"7624704\"]\n  20 -> 29 [size =\"7624704\"]\n  21 [size=\"89153536\", alpha=\"0.07\", expect_size=\"44576768\"] \n  22 [size=\"100933632\", alpha=\"0.05\", expect_size=\"50466816\"] \n  23 [size=\"86329344\", alpha=\"0.03\", expect_size=\"43164672\"] \n  24 [size=\"67491840\", alpha=\"0.18\", expect_size=\"33745920\"] \n  25 [size=\"47607808\", alpha=\"0.16\", expect_size=\"23803904\"] \n  26 [size=\"101623808\", alpha=\"0.12\", expect_size=\"50811904\"] \n  27 [size=\"93999104\", alpha=\"0.14\", expect_size=\"46999552\"] \n  28 [size=\"59152384\", alpha=\"0.13\", expect_size=\"29576192\"] \n  29 [size=\"25989120\", alpha=\"0.08\", expect_size=\"12994560\"] \n  30 [size=\"28510208\", alpha=\"0.19\", expect_size=\"14255104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81172480\", alpha=\"0.09\", expect_size=\"40586240\"] \n  1 -> 3 [size =\"40586240\"]\n  1 -> 4 [size =\"40586240\"]\n  2 [size=\"89636864\", alpha=\"0.12\", expect_size=\"44818432\"] \n  2 -> 3 [size =\"44818432\"]\n  2 -> 4 [size =\"44818432\"]\n  3 [size=\"57589760\", alpha=\"0.14\", expect_size=\"28794880\"] \n  3 -> 5 [size =\"28794880\"]\n  3 -> 6 [size =\"28794880\"]\n  4 [size=\"38354944\", alpha=\"0.10\", expect_size=\"19177472\"] \n  4 -> 5 [size =\"19177472\"]\n  4 -> 6 [size =\"19177472\"]\n  5 [size=\"81928192\", alpha=\"0.05\", expect_size=\"40964096\"] \n  5 -> 7 [size =\"40964096\"]\n  5 -> 8 [size =\"40964096\"]\n  6 [size=\"74551296\", alpha=\"0.05\", expect_size=\"37275648\"] \n  6 -> 7 [size =\"37275648\"]\n  6 -> 8 [size =\"37275648\"]\n  7 [size=\"78757888\", alpha=\"0.17\", expect_size=\"39378944\"] \n  7 -> 9 [size =\"39378944\"]\n  8 [size=\"44554240\", alpha=\"0.08\", expect_size=\"22277120\"] \n  8 -> 9 [size =\"22277120\"]\n  9 [size=\"13576192\", alpha=\"0.07\", expect_size=\"6788096\"] \n  9 -> 10 [size =\"6788096\"]\n  10 [size=\"24465408\", alpha=\"0.06\", expect_size=\"12232704\"] \n  10 -> 11 [size =\"12232704\"]\n  11 [size=\"22214656\", alpha=\"0.12\", expect_size=\"11107328\"] \n  11 -> 12 [size =\"11107328\"]\n  11 -> 13 [size =\"11107328\"]\n  12 [size=\"65198080\", alpha=\"0.09\", expect_size=\"32599040\"] \n  12 -> 14 [size =\"32599040\"]\n  12 -> 15 [size =\"32599040\"]\n  13 [size=\"28887040\", alpha=\"0.08\", expect_size=\"14443520\"] \n  13 -> 15 [size =\"14443520\"]\n  14 [size=\"95266816\", alpha=\"0.10\", expect_size=\"47633408\"] \n  14 -> 16 [size =\"47633408\"]\n  14 -> 17 [size =\"47633408\"]\n  15 [size=\"48627712\", alpha=\"0.05\", expect_size=\"24313856\"] \n  15 -> 16 [size =\"24313856\"]\n  16 [size=\"70598656\", alpha=\"0.19\", expect_size=\"35299328\"] \n  16 -> 18 [size =\"35299328\"]\n  16 -> 19 [size =\"35299328\"]\n  17 [size=\"95531008\", alpha=\"0.02\", expect_size=\"47765504\"] \n  17 -> 18 [size =\"47765504\"]\n  17 -> 19 [size =\"47765504\"]\n  18 [size=\"80478208\", alpha=\"0.18\", expect_size=\"40239104\"] \n  18 -> 21 [size =\"40239104\"]\n  19 [size=\"22048768\", alpha=\"0.10\", expect_size=\"11024384\"] \n  19 -> 20 [size =\"11024384\"]\n  19 -> 21 [size =\"11024384\"]\n  20 [size=\"55064576\", alpha=\"0.06\", expect_size=\"27532288\"] \n  20 -> 22 [size =\"27532288\"]\n  21 [size=\"81557504\", alpha=\"0.17\", expect_size=\"40778752\"] \n  21 -> 22 [size =\"40778752\"]\n  21 -> 23 [size =\"40778752\"]\n  22 [size=\"43786240\", alpha=\"0.05\", expect_size=\"21893120\"] \n  22 -> 24 [size =\"21893120\"]\n  22 -> 25 [size =\"21893120\"]\n  23 [size=\"87330816\", alpha=\"0.03\", expect_size=\"43665408\"] \n  23 -> 25 [size =\"43665408\"]\n  24 [size=\"31268864\", alpha=\"0.07\", expect_size=\"15634432\"] \n  24 -> 26 [size =\"15634432\"]\n  25 [size=\"78966784\", alpha=\"0.06\", expect_size=\"39483392\"] \n  25 -> 26 [size =\"39483392\"]\n  26 [size=\"100364288\", alpha=\"0.19\", expect_size=\"50182144\"] \n  26 -> 27 [size =\"50182144\"]\n  27 [size=\"94402560\", alpha=\"0.06\", expect_size=\"47201280\"] \n  27 -> 28 [size =\"47201280\"]\n  27 -> 29 [size =\"47201280\"]\n  28 [size=\"103593984\", alpha=\"0.00\", expect_size=\"51796992\"] \n  29 [size=\"93403136\", alpha=\"0.15\", expect_size=\"46701568\"] \n  29 -> 30 [size =\"46701568\"]\n  30 [size=\"45215744\", alpha=\"0.13\", expect_size=\"22607872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89705813\", alpha=\"0.13\", expect_size=\"26911744\"] \n  1 -> 2 [size =\"26911744\"]\n  2 [size=\"171789653\", alpha=\"0.11\", expect_size=\"51536896\"] \n  2 -> 3 [size =\"51536896\"]\n  3 [size=\"90013013\", alpha=\"0.14\", expect_size=\"27003904\"] \n  3 -> 4 [size =\"27003904\"]\n  4 [size=\"49322667\", alpha=\"0.05\", expect_size=\"14796800\"] \n  4 -> 5 [size =\"14796800\"]\n  5 [size=\"125911040\", alpha=\"0.16\", expect_size=\"37773312\"] \n  5 -> 6 [size =\"37773312\"]\n  6 [size=\"61177173\", alpha=\"0.02\", expect_size=\"18353152\"] \n  6 -> 7 [size =\"18353152\"]\n  7 [size=\"60009813\", alpha=\"0.15\", expect_size=\"18002944\"] \n  7 -> 8 [size =\"18002944\"]\n  8 [size=\"73492480\", alpha=\"0.19\", expect_size=\"22047744\"] \n  8 -> 9 [size =\"22047744\"]\n  9 [size=\"126993067\", alpha=\"0.17\", expect_size=\"38097920\"] \n  9 -> 10 [size =\"38097920\"]\n  10 [size=\"64406187\", alpha=\"0.02\", expect_size=\"19321856\"] \n  10 -> 11 [size =\"19321856\"]\n  11 [size=\"81455787\", alpha=\"0.14\", expect_size=\"24436736\"] \n  11 -> 12 [size =\"24436736\"]\n  12 [size=\"27398827\", alpha=\"0.08\", expect_size=\"8219648\"] \n  12 -> 13 [size =\"8219648\"]\n  13 [size=\"113814187\", alpha=\"0.16\", expect_size=\"34144256\"] \n  13 -> 14 [size =\"34144256\"]\n  14 [size=\"67887787\", alpha=\"0.09\", expect_size=\"20366336\"] \n  14 -> 15 [size =\"20366336\"]\n  15 [size=\"108448427\", alpha=\"0.04\", expect_size=\"32534528\"] \n  15 -> 16 [size =\"32534528\"]\n  16 [size=\"79970987\", alpha=\"0.12\", expect_size=\"23991296\"] \n  16 -> 17 [size =\"23991296\"]\n  17 [size=\"95569920\", alpha=\"0.12\", expect_size=\"28670976\"] \n  17 -> 18 [size =\"28670976\"]\n  18 [size=\"52329813\", alpha=\"0.10\", expect_size=\"15698944\"] \n  18 -> 19 [size =\"15698944\"]\n  19 [size=\"47943680\", alpha=\"0.18\", expect_size=\"14383104\"] \n  19 -> 20 [size =\"14383104\"]\n  20 [size=\"24483840\", alpha=\"0.18\", expect_size=\"7345152\"] \n  20 -> 21 [size =\"7345152\"]\n  21 [size=\"41157973\", alpha=\"0.08\", expect_size=\"12347392\"] \n  21 -> 22 [size =\"12347392\"]\n  22 [size=\"150285653\", alpha=\"0.17\", expect_size=\"45085696\"] \n  22 -> 23 [size =\"45085696\"]\n  23 [size=\"56473600\", alpha=\"0.16\", expect_size=\"16942080\"] \n  23 -> 24 [size =\"16942080\"]\n  24 [size=\"21483520\", alpha=\"0.19\", expect_size=\"6445056\"] \n  24 -> 25 [size =\"6445056\"]\n  25 [size=\"91477333\", alpha=\"0.15\", expect_size=\"27443200\"] \n  25 -> 26 [size =\"27443200\"]\n  26 [size=\"123927893\", alpha=\"0.17\", expect_size=\"37178368\"] \n  26 -> 27 [size =\"37178368\"]\n  27 [size=\"59275947\", alpha=\"0.05\", expect_size=\"17782784\"] \n  27 -> 28 [size =\"17782784\"]\n  28 [size=\"152251733\", alpha=\"0.19\", expect_size=\"45675520\"] \n  28 -> 29 [size =\"45675520\"]\n  29 [size=\"77062827\", alpha=\"0.08\", expect_size=\"23118848\"] \n  29 -> 30 [size =\"23118848\"]\n  30 [size=\"59665067\", alpha=\"0.02\", expect_size=\"17899520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102021120\", alpha=\"0.01\", expect_size=\"30606336\"] \n  1 -> 3 [size =\"30606336\"]\n  2 [size=\"79759360\", alpha=\"0.10\", expect_size=\"23927808\"] \n  2 -> 3 [size =\"23927808\"]\n  3 [size=\"25582933\", alpha=\"0.14\", expect_size=\"7674880\"] \n  3 -> 4 [size =\"7674880\"]\n  4 [size=\"47383893\", alpha=\"0.02\", expect_size=\"14215168\"] \n  4 -> 5 [size =\"14215168\"]\n  5 [size=\"67191467\", alpha=\"0.07\", expect_size=\"20157440\"] \n  5 -> 6 [size =\"20157440\"]\n  6 [size=\"54606507\", alpha=\"0.12\", expect_size=\"16381952\"] \n  6 -> 7 [size =\"16381952\"]\n  6 -> 8 [size =\"16381952\"]\n  7 [size=\"109639680\", alpha=\"0.03\", expect_size=\"32891904\"] \n  8 [size=\"79380480\", alpha=\"0.17\", expect_size=\"23814144\"] \n  8 -> 9 [size =\"23814144\"]\n  9 [size=\"90009600\", alpha=\"0.09\", expect_size=\"27002880\"] \n  9 -> 10 [size =\"27002880\"]\n  10 [size=\"171154773\", alpha=\"0.08\", expect_size=\"51346432\"] \n  10 -> 11 [size =\"51346432\"]\n  11 [size=\"127726933\", alpha=\"0.11\", expect_size=\"38318080\"] \n  11 -> 12 [size =\"38318080\"]\n  12 [size=\"139400533\", alpha=\"0.18\", expect_size=\"41820160\"] \n  12 -> 13 [size =\"41820160\"]\n  12 -> 14 [size =\"41820160\"]\n  13 [size=\"62576640\", alpha=\"0.17\", expect_size=\"18772992\"] \n  13 -> 15 [size =\"18772992\"]\n  13 -> 16 [size =\"18772992\"]\n  14 [size=\"19141973\", alpha=\"0.06\", expect_size=\"5742592\"] \n  14 -> 15 [size =\"5742592\"]\n  14 -> 16 [size =\"5742592\"]\n  15 [size=\"34150400\", alpha=\"0.01\", expect_size=\"10245120\"] \n  15 -> 18 [size =\"10245120\"]\n  16 [size=\"89794560\", alpha=\"0.04\", expect_size=\"26938368\"] \n  16 -> 17 [size =\"26938368\"]\n  16 -> 18 [size =\"26938368\"]\n  17 [size=\"26767360\", alpha=\"0.16\", expect_size=\"8030208\"] \n  17 -> 19 [size =\"8030208\"]\n  17 -> 20 [size =\"8030208\"]\n  18 [size=\"52657493\", alpha=\"0.06\", expect_size=\"15797248\"] \n  18 -> 19 [size =\"15797248\"]\n  18 -> 20 [size =\"15797248\"]\n  19 [size=\"25217707\", alpha=\"0.16\", expect_size=\"7565312\"] \n  19 -> 21 [size =\"7565312\"]\n  20 [size=\"98351787\", alpha=\"0.07\", expect_size=\"29505536\"] \n  20 -> 21 [size =\"29505536\"]\n  21 [size=\"162901333\", alpha=\"0.09\", expect_size=\"48870400\"] \n  21 -> 22 [size =\"48870400\"]\n  22 [size=\"93501440\", alpha=\"0.18\", expect_size=\"28050432\"] \n  22 -> 23 [size =\"28050432\"]\n  22 -> 24 [size =\"28050432\"]\n  23 [size=\"76485973\", alpha=\"0.09\", expect_size=\"22945792\"] \n  23 -> 25 [size =\"22945792\"]\n  24 [size=\"49387520\", alpha=\"0.03\", expect_size=\"14816256\"] \n  24 -> 25 [size =\"14816256\"]\n  24 -> 26 [size =\"14816256\"]\n  25 [size=\"98641920\", alpha=\"0.04\", expect_size=\"29592576\"] \n  25 -> 27 [size =\"29592576\"]\n  26 [size=\"108223147\", alpha=\"0.09\", expect_size=\"32466944\"] \n  27 [size=\"138929493\", alpha=\"0.06\", expect_size=\"41678848\"] \n  27 -> 28 [size =\"41678848\"]\n  27 -> 29 [size =\"41678848\"]\n  28 [size=\"106342400\", alpha=\"0.11\", expect_size=\"31902720\"] \n  28 -> 30 [size =\"31902720\"]\n  29 [size=\"151534933\", alpha=\"0.06\", expect_size=\"45460480\"] \n  29 -> 30 [size =\"45460480\"]\n  30 [size=\"123678720\", alpha=\"0.19\", expect_size=\"37103616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26022400\", alpha=\"0.19\", expect_size=\"10408960\"] \n  1 -> 5 [size =\"10408960\"]\n  1 -> 8 [size =\"10408960\"]\n  1 -> 8 [size =\"10408960\"]\n  2 [size=\"87856640\", alpha=\"0.13\", expect_size=\"35142656\"] \n  2 -> 5 [size =\"35142656\"]\n  2 -> 6 [size =\"35142656\"]\n  2 -> 8 [size =\"35142656\"]\n  2 -> 9 [size =\"35142656\"]\n  3 [size=\"36797440\", alpha=\"0.11\", expect_size=\"14718976\"] \n  3 -> 5 [size =\"14718976\"]\n  3 -> 6 [size =\"14718976\"]\n  3 -> 7 [size =\"14718976\"]\n  4 [size=\"126584320\", alpha=\"0.11\", expect_size=\"50633728\"] \n  4 -> 6 [size =\"50633728\"]\n  4 -> 7 [size =\"50633728\"]\n  4 -> 8 [size =\"50633728\"]\n  5 [size=\"118704640\", alpha=\"0.08\", expect_size=\"47481856\"] \n  5 -> 10 [size =\"47481856\"]\n  5 -> 13 [size =\"47481856\"]\n  6 [size=\"89648640\", alpha=\"0.07\", expect_size=\"35859456\"] \n  6 -> 10 [size =\"35859456\"]\n  6 -> 13 [size =\"35859456\"]\n  7 [size=\"55454720\", alpha=\"0.19\", expect_size=\"22181888\"] \n  7 -> 12 [size =\"22181888\"]\n  7 -> 13 [size =\"22181888\"]\n  8 [size=\"124884480\", alpha=\"0.17\", expect_size=\"49953792\"] \n  8 -> 10 [size =\"49953792\"]\n  8 -> 13 [size =\"49953792\"]\n  9 [size=\"63685120\", alpha=\"0.11\", expect_size=\"25474048\"] \n  9 -> 10 [size =\"25474048\"]\n  9 -> 11 [size =\"25474048\"]\n  9 -> 12 [size =\"25474048\"]\n  9 -> 13 [size =\"25474048\"]\n  10 [size=\"91192320\", alpha=\"0.04\", expect_size=\"36476928\"] \n  10 -> 14 [size =\"36476928\"]\n  10 -> 18 [size =\"36476928\"]\n  10 -> 19 [size =\"36476928\"]\n  11 [size=\"75169280\", alpha=\"0.11\", expect_size=\"30067712\"] \n  11 -> 16 [size =\"30067712\"]\n  11 -> 19 [size =\"30067712\"]\n  12 [size=\"70937600\", alpha=\"0.12\", expect_size=\"28375040\"] \n  12 -> 14 [size =\"28375040\"]\n  12 -> 15 [size =\"28375040\"]\n  12 -> 16 [size =\"28375040\"]\n  12 -> 18 [size =\"28375040\"]\n  12 -> 19 [size =\"28375040\"]\n  13 [size=\"27947520\", alpha=\"0.18\", expect_size=\"11179008\"] \n  13 -> 14 [size =\"11179008\"]\n  13 -> 16 [size =\"11179008\"]\n  13 -> 16 [size =\"11179008\"]\n  13 -> 17 [size =\"11179008\"]\n  13 -> 18 [size =\"11179008\"]\n  13 -> 19 [size =\"11179008\"]\n  14 [size=\"93537280\", alpha=\"0.18\", expect_size=\"37414912\"] \n  14 -> 21 [size =\"37414912\"]\n  14 -> 22 [size =\"37414912\"]\n  14 -> 23 [size =\"37414912\"]\n  14 -> 24 [size =\"37414912\"]\n  15 [size=\"40563200\", alpha=\"0.04\", expect_size=\"16225280\"] \n  15 -> 20 [size =\"16225280\"]\n  15 -> 22 [size =\"16225280\"]\n  15 -> 23 [size =\"16225280\"]\n  16 [size=\"84997120\", alpha=\"0.05\", expect_size=\"33998848\"] \n  16 -> 20 [size =\"33998848\"]\n  16 -> 22 [size =\"33998848\"]\n  17 [size=\"123491840\", alpha=\"0.11\", expect_size=\"49396736\"] \n  17 -> 23 [size =\"49396736\"]\n  18 [size=\"116776960\", alpha=\"0.03\", expect_size=\"46710784\"] \n  18 -> 21 [size =\"46710784\"]\n  19 [size=\"100963840\", alpha=\"0.01\", expect_size=\"40385536\"] \n  19 -> 21 [size =\"40385536\"]\n  20 [size=\"49832960\", alpha=\"0.17\", expect_size=\"19933184\"] \n  20 -> 26 [size =\"19933184\"]\n  20 -> 27 [size =\"19933184\"]\n  20 -> 29 [size =\"19933184\"]\n  21 [size=\"72975360\", alpha=\"0.15\", expect_size=\"29190144\"] \n  21 -> 26 [size =\"29190144\"]\n  21 -> 28 [size =\"29190144\"]\n  21 -> 29 [size =\"29190144\"]\n  22 [size=\"18173440\", alpha=\"0.06\", expect_size=\"7269376\"] \n  22 -> 27 [size =\"7269376\"]\n  22 -> 28 [size =\"7269376\"]\n  22 -> 29 [size =\"7269376\"]\n  22 -> 30 [size =\"7269376\"]\n  23 [size=\"91770880\", alpha=\"0.01\", expect_size=\"36708352\"] \n  23 -> 25 [size =\"36708352\"]\n  23 -> 26 [size =\"36708352\"]\n  23 -> 27 [size =\"36708352\"]\n  23 -> 29 [size =\"36708352\"]\n  23 -> 30 [size =\"36708352\"]\n  24 [size=\"79155200\", alpha=\"0.15\", expect_size=\"31662080\"] \n  24 -> 26 [size =\"31662080\"]\n  24 -> 27 [size =\"31662080\"]\n  24 -> 29 [size =\"31662080\"]\n  24 -> 30 [size =\"31662080\"]\n  24 -> 30 [size =\"31662080\"]\n  25 [size=\"67476480\", alpha=\"0.07\", expect_size=\"26990592\"] \n  26 [size=\"88238080\", alpha=\"0.12\", expect_size=\"35295232\"] \n  27 [size=\"116142080\", alpha=\"0.04\", expect_size=\"46456832\"] \n  28 [size=\"61335040\", alpha=\"0.15\", expect_size=\"24534016\"] \n  29 [size=\"80721920\", alpha=\"0.15\", expect_size=\"32288768\"] \n  30 [size=\"87828480\", alpha=\"0.08\", expect_size=\"35131392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109953707\", alpha=\"0.15\", expect_size=\"32986112\"] \n  1 -> 3 [size =\"32986112\"]\n  1 -> 4 [size =\"32986112\"]\n  2 [size=\"167516160\", alpha=\"0.06\", expect_size=\"50254848\"] \n  2 -> 3 [size =\"50254848\"]\n  2 -> 4 [size =\"50254848\"]\n  3 [size=\"55784107\", alpha=\"0.07\", expect_size=\"16735232\"] \n  3 -> 5 [size =\"16735232\"]\n  4 [size=\"143015253\", alpha=\"0.03\", expect_size=\"42904576\"] \n  4 -> 6 [size =\"42904576\"]\n  5 [size=\"140120747\", alpha=\"0.20\", expect_size=\"42036224\"] \n  5 -> 7 [size =\"42036224\"]\n  6 [size=\"146595840\", alpha=\"0.06\", expect_size=\"43978752\"] \n  6 -> 7 [size =\"43978752\"]\n  7 [size=\"119674880\", alpha=\"0.07\", expect_size=\"35902464\"] \n  7 -> 8 [size =\"35902464\"]\n  8 [size=\"166853973\", alpha=\"0.06\", expect_size=\"50056192\"] \n  8 -> 9 [size =\"50056192\"]\n  9 [size=\"88207360\", alpha=\"0.17\", expect_size=\"26462208\"] \n  9 -> 10 [size =\"26462208\"]\n  9 -> 11 [size =\"26462208\"]\n  10 [size=\"68898133\", alpha=\"0.08\", expect_size=\"20669440\"] \n  10 -> 12 [size =\"20669440\"]\n  11 [size=\"33826133\", alpha=\"0.19\", expect_size=\"10147840\"] \n  12 [size=\"152098133\", alpha=\"0.20\", expect_size=\"45629440\"] \n  12 -> 13 [size =\"45629440\"]\n  13 [size=\"43847680\", alpha=\"0.17\", expect_size=\"13154304\"] \n  13 -> 14 [size =\"13154304\"]\n  14 [size=\"95870293\", alpha=\"0.16\", expect_size=\"28761088\"] \n  14 -> 15 [size =\"28761088\"]\n  14 -> 16 [size =\"28761088\"]\n  15 [size=\"119647573\", alpha=\"0.06\", expect_size=\"35894272\"] \n  16 [size=\"117637120\", alpha=\"0.06\", expect_size=\"35291136\"] \n  16 -> 17 [size =\"35291136\"]\n  16 -> 18 [size =\"35291136\"]\n  17 [size=\"163232427\", alpha=\"0.14\", expect_size=\"48969728\"] \n  17 -> 19 [size =\"48969728\"]\n  18 [size=\"62726827\", alpha=\"0.14\", expect_size=\"18818048\"] \n  18 -> 19 [size =\"18818048\"]\n  19 [size=\"112312320\", alpha=\"0.02\", expect_size=\"33693696\"] \n  19 -> 20 [size =\"33693696\"]\n  20 [size=\"88408747\", alpha=\"0.07\", expect_size=\"26522624\"] \n  20 -> 21 [size =\"26522624\"]\n  20 -> 22 [size =\"26522624\"]\n  21 [size=\"154368000\", alpha=\"0.03\", expect_size=\"46310400\"] \n  21 -> 24 [size =\"46310400\"]\n  22 [size=\"143448747\", alpha=\"0.19\", expect_size=\"43034624\"] \n  22 -> 23 [size =\"43034624\"]\n  22 -> 24 [size =\"43034624\"]\n  23 [size=\"141318827\", alpha=\"0.19\", expect_size=\"42395648\"] \n  23 -> 25 [size =\"42395648\"]\n  23 -> 26 [size =\"42395648\"]\n  24 [size=\"115114667\", alpha=\"0.16\", expect_size=\"34534400\"] \n  24 -> 25 [size =\"34534400\"]\n  25 [size=\"84872533\", alpha=\"0.08\", expect_size=\"25461760\"] \n  26 [size=\"132768427\", alpha=\"0.16\", expect_size=\"39830528\"] \n  26 -> 27 [size =\"39830528\"]\n  26 -> 28 [size =\"39830528\"]\n  27 [size=\"21705387\", alpha=\"0.18\", expect_size=\"6511616\"] \n  27 -> 30 [size =\"6511616\"]\n  28 [size=\"132840107\", alpha=\"0.18\", expect_size=\"39852032\"] \n  28 -> 29 [size =\"39852032\"]\n  29 [size=\"88753493\", alpha=\"0.08\", expect_size=\"26626048\"] \n  30 [size=\"104072533\", alpha=\"0.04\", expect_size=\"31221760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79831040\", alpha=\"0.05\", expect_size=\"39915520\"] \n  1 -> 23 [size =\"39915520\"]\n  1 -> 26 [size =\"39915520\"]\n  1 -> 28 [size =\"39915520\"]\n  2 [size=\"23480320\", alpha=\"0.09\", expect_size=\"11740160\"] \n  2 -> 23 [size =\"11740160\"]\n  2 -> 24 [size =\"11740160\"]\n  2 -> 28 [size =\"11740160\"]\n  2 -> 29 [size =\"11740160\"]\n  3 [size=\"52822016\", alpha=\"0.01\", expect_size=\"26411008\"] \n  3 -> 23 [size =\"26411008\"]\n  3 -> 26 [size =\"26411008\"]\n  3 -> 28 [size =\"26411008\"]\n  3 -> 29 [size =\"26411008\"]\n  3 -> 30 [size =\"26411008\"]\n  4 [size=\"43583488\", alpha=\"0.03\", expect_size=\"21791744\"] \n  4 -> 23 [size =\"21791744\"]\n  4 -> 24 [size =\"21791744\"]\n  4 -> 27 [size =\"21791744\"]\n  4 -> 29 [size =\"21791744\"]\n  4 -> 30 [size =\"21791744\"]\n  5 [size=\"42932224\", alpha=\"0.19\", expect_size=\"21466112\"] \n  5 -> 28 [size =\"21466112\"]\n  6 [size=\"93921280\", alpha=\"0.11\", expect_size=\"46960640\"] \n  6 -> 23 [size =\"46960640\"]\n  7 [size=\"63410176\", alpha=\"0.06\", expect_size=\"31705088\"] \n  8 [size=\"26267648\", alpha=\"0.09\", expect_size=\"13133824\"] \n  8 -> 26 [size =\"13133824\"]\n  8 -> 28 [size =\"13133824\"]\n  9 [size=\"27721728\", alpha=\"0.04\", expect_size=\"13860864\"] \n  9 -> 23 [size =\"13860864\"]\n  10 [size=\"61325312\", alpha=\"0.01\", expect_size=\"30662656\"] \n  10 -> 23 [size =\"30662656\"]\n  10 -> 26 [size =\"30662656\"]\n  10 -> 27 [size =\"30662656\"]\n  11 [size=\"20086784\", alpha=\"0.16\", expect_size=\"10043392\"] \n  11 -> 23 [size =\"10043392\"]\n  12 [size=\"44675072\", alpha=\"0.06\", expect_size=\"22337536\"] \n  12 -> 24 [size =\"22337536\"]\n  13 [size=\"85370880\", alpha=\"0.03\", expect_size=\"42685440\"] \n  13 -> 24 [size =\"42685440\"]\n  13 -> 25 [size =\"42685440\"]\n  13 -> 26 [size =\"42685440\"]\n  13 -> 28 [size =\"42685440\"]\n  14 [size=\"92030976\", alpha=\"0.07\", expect_size=\"46015488\"] \n  14 -> 24 [size =\"46015488\"]\n  14 -> 26 [size =\"46015488\"]\n  14 -> 26 [size =\"46015488\"]\n  14 -> 28 [size =\"46015488\"]\n  15 [size=\"11315200\", alpha=\"0.17\", expect_size=\"5657600\"] \n  15 -> 24 [size =\"5657600\"]\n  15 -> 26 [size =\"5657600\"]\n  15 -> 27 [size =\"5657600\"]\n  16 [size=\"100710400\", alpha=\"0.04\", expect_size=\"50355200\"] \n  16 -> 23 [size =\"50355200\"]\n  16 -> 24 [size =\"50355200\"]\n  16 -> 27 [size =\"50355200\"]\n  17 [size=\"56467456\", alpha=\"0.13\", expect_size=\"28233728\"] \n  17 -> 24 [size =\"28233728\"]\n  18 [size=\"84008960\", alpha=\"0.12\", expect_size=\"42004480\"] \n  18 -> 23 [size =\"42004480\"]\n  18 -> 24 [size =\"42004480\"]\n  18 -> 28 [size =\"42004480\"]\n  19 [size=\"34134016\", alpha=\"0.04\", expect_size=\"17067008\"] \n  19 -> 26 [size =\"17067008\"]\n  20 [size=\"52283392\", alpha=\"0.06\", expect_size=\"26141696\"] \n  20 -> 23 [size =\"26141696\"]\n  20 -> 27 [size =\"26141696\"]\n  21 [size=\"58867712\", alpha=\"0.02\", expect_size=\"29433856\"] \n  21 -> 23 [size =\"29433856\"]\n  21 -> 26 [size =\"29433856\"]\n  22 [size=\"38338560\", alpha=\"0.01\", expect_size=\"19169280\"] \n  22 -> 23 [size =\"19169280\"]\n  22 -> 24 [size =\"19169280\"]\n  22 -> 26 [size =\"19169280\"]\n  22 -> 30 [size =\"19169280\"]\n  23 [size=\"67960832\", alpha=\"0.09\", expect_size=\"33980416\"] \n  24 [size=\"82622464\", alpha=\"0.03\", expect_size=\"41311232\"] \n  25 [size=\"23080960\", alpha=\"0.05\", expect_size=\"11540480\"] \n  26 [size=\"101111808\", alpha=\"0.05\", expect_size=\"50555904\"] \n  27 [size=\"23439360\", alpha=\"0.15\", expect_size=\"11719680\"] \n  28 [size=\"84185088\", alpha=\"0.09\", expect_size=\"42092544\"] \n  29 [size=\"48578560\", alpha=\"0.07\", expect_size=\"24289280\"] \n  30 [size=\"68210688\", alpha=\"0.15\", expect_size=\"34105344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24455680\", alpha=\"0.10\", expect_size=\"9782272\"] \n  1 -> 3 [size =\"9782272\"]\n  2 [size=\"102051840\", alpha=\"0.15\", expect_size=\"40820736\"] \n  2 -> 4 [size =\"40820736\"]\n  2 -> 5 [size =\"40820736\"]\n  3 [size=\"90670080\", alpha=\"0.07\", expect_size=\"36268032\"] \n  3 -> 6 [size =\"36268032\"]\n  3 -> 7 [size =\"36268032\"]\n  3 -> 9 [size =\"36268032\"]\n  4 [size=\"109642240\", alpha=\"0.14\", expect_size=\"43856896\"] \n  4 -> 8 [size =\"43856896\"]\n  5 [size=\"61642240\", alpha=\"0.06\", expect_size=\"24656896\"] \n  5 -> 7 [size =\"24656896\"]\n  5 -> 8 [size =\"24656896\"]\n  5 -> 9 [size =\"24656896\"]\n  6 [size=\"52574720\", alpha=\"0.08\", expect_size=\"21029888\"] \n  6 -> 10 [size =\"21029888\"]\n  7 [size=\"54561280\", alpha=\"0.04\", expect_size=\"21824512\"] \n  7 -> 11 [size =\"21824512\"]\n  8 [size=\"111756800\", alpha=\"0.14\", expect_size=\"44702720\"] \n  9 [size=\"114959360\", alpha=\"0.01\", expect_size=\"45983744\"] \n  9 -> 10 [size =\"45983744\"]\n  10 [size=\"119549440\", alpha=\"0.20\", expect_size=\"47819776\"] \n  10 -> 12 [size =\"47819776\"]\n  10 -> 13 [size =\"47819776\"]\n  10 -> 14 [size =\"47819776\"]\n  10 -> 15 [size =\"47819776\"]\n  10 -> 16 [size =\"47819776\"]\n  10 -> 17 [size =\"47819776\"]\n  10 -> 18 [size =\"47819776\"]\n  11 [size=\"61877760\", alpha=\"0.09\", expect_size=\"24751104\"] \n  11 -> 12 [size =\"24751104\"]\n  11 -> 13 [size =\"24751104\"]\n  11 -> 14 [size =\"24751104\"]\n  11 -> 15 [size =\"24751104\"]\n  11 -> 17 [size =\"24751104\"]\n  11 -> 18 [size =\"24751104\"]\n  12 [size=\"120821760\", alpha=\"0.13\", expect_size=\"48328704\"] \n  12 -> 21 [size =\"48328704\"]\n  12 -> 22 [size =\"48328704\"]\n  13 [size=\"93304320\", alpha=\"0.19\", expect_size=\"37321728\"] \n  13 -> 20 [size =\"37321728\"]\n  13 -> 21 [size =\"37321728\"]\n  14 [size=\"17597440\", alpha=\"0.12\", expect_size=\"7038976\"] \n  14 -> 21 [size =\"7038976\"]\n  14 -> 22 [size =\"7038976\"]\n  14 -> 24 [size =\"7038976\"]\n  14 -> 25 [size =\"7038976\"]\n  15 [size=\"98429440\", alpha=\"0.05\", expect_size=\"39371776\"] \n  15 -> 22 [size =\"39371776\"]\n  16 [size=\"14845440\", alpha=\"0.14\", expect_size=\"5938176\"] \n  16 -> 23 [size =\"5938176\"]\n  16 -> 25 [size =\"5938176\"]\n  17 [size=\"62141440\", alpha=\"0.06\", expect_size=\"24856576\"] \n  17 -> 24 [size =\"24856576\"]\n  18 [size=\"87001600\", alpha=\"0.17\", expect_size=\"34800640\"] \n  18 -> 19 [size =\"34800640\"]\n  18 -> 20 [size =\"34800640\"]\n  18 -> 21 [size =\"34800640\"]\n  18 -> 25 [size =\"34800640\"]\n  19 [size=\"49425920\", alpha=\"0.10\", expect_size=\"19770368\"] \n  20 [size=\"54474240\", alpha=\"0.02\", expect_size=\"21789696\"] \n  20 -> 26 [size =\"21789696\"]\n  20 -> 29 [size =\"21789696\"]\n  20 -> 30 [size =\"21789696\"]\n  21 [size=\"53998080\", alpha=\"0.16\", expect_size=\"21599232\"] \n  21 -> 30 [size =\"21599232\"]\n  22 [size=\"104394240\", alpha=\"0.05\", expect_size=\"41757696\"] \n  22 -> 27 [size =\"41757696\"]\n  23 [size=\"65077760\", alpha=\"0.07\", expect_size=\"26031104\"] \n  23 -> 30 [size =\"26031104\"]\n  24 [size=\"58158080\", alpha=\"0.06\", expect_size=\"23263232\"] \n  24 -> 28 [size =\"23263232\"]\n  24 -> 29 [size =\"23263232\"]\n  25 [size=\"130145280\", alpha=\"0.13\", expect_size=\"52058112\"] \n  25 -> 29 [size =\"52058112\"]\n  25 -> 30 [size =\"52058112\"]\n  26 [size=\"44485120\", alpha=\"0.06\", expect_size=\"17794048\"] \n  27 [size=\"125296640\", alpha=\"0.07\", expect_size=\"50118656\"] \n  28 [size=\"40097280\", alpha=\"0.04\", expect_size=\"16038912\"] \n  29 [size=\"20700160\", alpha=\"0.19\", expect_size=\"8280064\"] \n  30 [size=\"79477760\", alpha=\"0.11\", expect_size=\"31791104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64983040\", alpha=\"0.17\", expect_size=\"25993216\"] \n  1 -> 21 [size =\"25993216\"]\n  1 -> 27 [size =\"25993216\"]\n  2 [size=\"41720320\", alpha=\"0.00\", expect_size=\"16688128\"] \n  2 -> 26 [size =\"16688128\"]\n  3 [size=\"93337600\", alpha=\"0.12\", expect_size=\"37335040\"] \n  3 -> 20 [size =\"37335040\"]\n  3 -> 23 [size =\"37335040\"]\n  3 -> 26 [size =\"37335040\"]\n  4 [size=\"45644800\", alpha=\"0.09\", expect_size=\"18257920\"] \n  4 -> 23 [size =\"18257920\"]\n  4 -> 25 [size =\"18257920\"]\n  4 -> 28 [size =\"18257920\"]\n  5 [size=\"73676800\", alpha=\"0.04\", expect_size=\"29470720\"] \n  5 -> 20 [size =\"29470720\"]\n  5 -> 27 [size =\"29470720\"]\n  5 -> 28 [size =\"29470720\"]\n  6 [size=\"24552960\", alpha=\"0.18\", expect_size=\"9821184\"] \n  6 -> 27 [size =\"9821184\"]\n  6 -> 28 [size =\"9821184\"]\n  6 -> 28 [size =\"9821184\"]\n  6 -> 29 [size =\"9821184\"]\n  6 -> 30 [size =\"9821184\"]\n  7 [size=\"90096640\", alpha=\"0.07\", expect_size=\"36038656\"] \n  7 -> 21 [size =\"36038656\"]\n  7 -> 23 [size =\"36038656\"]\n  7 -> 28 [size =\"36038656\"]\n  7 -> 30 [size =\"36038656\"]\n  7 -> 30 [size =\"36038656\"]\n  8 [size=\"106810880\", alpha=\"0.04\", expect_size=\"42724352\"] \n  8 -> 23 [size =\"42724352\"]\n  8 -> 28 [size =\"42724352\"]\n  8 -> 29 [size =\"42724352\"]\n  9 [size=\"44011520\", alpha=\"0.19\", expect_size=\"17604608\"] \n  9 -> 21 [size =\"17604608\"]\n  9 -> 22 [size =\"17604608\"]\n  9 -> 23 [size =\"17604608\"]\n  9 -> 24 [size =\"17604608\"]\n  9 -> 25 [size =\"17604608\"]\n  9 -> 28 [size =\"17604608\"]\n  9 -> 29 [size =\"17604608\"]\n  10 [size=\"24514560\", alpha=\"0.03\", expect_size=\"9805824\"] \n  10 -> 21 [size =\"9805824\"]\n  10 -> 23 [size =\"9805824\"]\n  10 -> 24 [size =\"9805824\"]\n  10 -> 27 [size =\"9805824\"]\n  10 -> 28 [size =\"9805824\"]\n  11 [size=\"65505280\", alpha=\"0.17\", expect_size=\"26202112\"] \n  11 -> 20 [size =\"26202112\"]\n  11 -> 23 [size =\"26202112\"]\n  12 [size=\"48906240\", alpha=\"0.18\", expect_size=\"19562496\"] \n  12 -> 20 [size =\"19562496\"]\n  12 -> 21 [size =\"19562496\"]\n  12 -> 25 [size =\"19562496\"]\n  13 [size=\"50273280\", alpha=\"0.07\", expect_size=\"20109312\"] \n  13 -> 20 [size =\"20109312\"]\n  13 -> 28 [size =\"20109312\"]\n  14 [size=\"123072000\", alpha=\"0.03\", expect_size=\"49228800\"] \n  14 -> 20 [size =\"49228800\"]\n  14 -> 21 [size =\"49228800\"]\n  14 -> 23 [size =\"49228800\"]\n  14 -> 26 [size =\"49228800\"]\n  14 -> 27 [size =\"49228800\"]\n  15 [size=\"59996160\", alpha=\"0.19\", expect_size=\"23998464\"] \n  15 -> 20 [size =\"23998464\"]\n  15 -> 21 [size =\"23998464\"]\n  15 -> 26 [size =\"23998464\"]\n  15 -> 27 [size =\"23998464\"]\n  15 -> 30 [size =\"23998464\"]\n  16 [size=\"86115840\", alpha=\"0.02\", expect_size=\"34446336\"] \n  16 -> 23 [size =\"34446336\"]\n  16 -> 24 [size =\"34446336\"]\n  16 -> 27 [size =\"34446336\"]\n  17 [size=\"75164160\", alpha=\"0.09\", expect_size=\"30065664\"] \n  17 -> 23 [size =\"30065664\"]\n  17 -> 29 [size =\"30065664\"]\n  17 -> 30 [size =\"30065664\"]\n  18 [size=\"116917760\", alpha=\"0.15\", expect_size=\"46767104\"] \n  18 -> 20 [size =\"46767104\"]\n  18 -> 27 [size =\"46767104\"]\n  18 -> 29 [size =\"46767104\"]\n  19 [size=\"21975040\", alpha=\"0.19\", expect_size=\"8790016\"] \n  19 -> 26 [size =\"8790016\"]\n  19 -> 29 [size =\"8790016\"]\n  20 [size=\"18969600\", alpha=\"0.16\", expect_size=\"7587840\"] \n  21 [size=\"39114240\", alpha=\"0.03\", expect_size=\"15645696\"] \n  22 [size=\"21373440\", alpha=\"0.14\", expect_size=\"8549376\"] \n  23 [size=\"127239680\", alpha=\"0.18\", expect_size=\"50895872\"] \n  24 [size=\"52113920\", alpha=\"0.09\", expect_size=\"20845568\"] \n  25 [size=\"71160320\", alpha=\"0.09\", expect_size=\"28464128\"] \n  26 [size=\"65615360\", alpha=\"0.12\", expect_size=\"26246144\"] \n  27 [size=\"78668800\", alpha=\"0.07\", expect_size=\"31467520\"] \n  28 [size=\"15493120\", alpha=\"0.18\", expect_size=\"6197248\"] \n  29 [size=\"101340160\", alpha=\"0.15\", expect_size=\"40536064\"] \n  30 [size=\"94341120\", alpha=\"0.14\", expect_size=\"37736448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19143680\", alpha=\"0.15\", expect_size=\"7657472\"] \n  1 -> 22 [size =\"7657472\"]\n  1 -> 28 [size =\"7657472\"]\n  1 -> 30 [size =\"7657472\"]\n  2 [size=\"35709440\", alpha=\"0.12\", expect_size=\"14283776\"] \n  2 -> 22 [size =\"14283776\"]\n  2 -> 26 [size =\"14283776\"]\n  2 -> 28 [size =\"14283776\"]\n  2 -> 30 [size =\"14283776\"]\n  3 [size=\"48501760\", alpha=\"0.13\", expect_size=\"19400704\"] \n  3 -> 22 [size =\"19400704\"]\n  3 -> 23 [size =\"19400704\"]\n  3 -> 30 [size =\"19400704\"]\n  3 -> 30 [size =\"19400704\"]\n  4 [size=\"26129920\", alpha=\"0.12\", expect_size=\"10451968\"] \n  4 -> 21 [size =\"10451968\"]\n  4 -> 22 [size =\"10451968\"]\n  4 -> 23 [size =\"10451968\"]\n  4 -> 26 [size =\"10451968\"]\n  4 -> 28 [size =\"10451968\"]\n  4 -> 30 [size =\"10451968\"]\n  5 [size=\"73223680\", alpha=\"0.12\", expect_size=\"29289472\"] \n  5 -> 22 [size =\"29289472\"]\n  5 -> 25 [size =\"29289472\"]\n  5 -> 26 [size =\"29289472\"]\n  5 -> 28 [size =\"29289472\"]\n  5 -> 29 [size =\"29289472\"]\n  5 -> 30 [size =\"29289472\"]\n  6 [size=\"88732160\", alpha=\"0.05\", expect_size=\"35492864\"] \n  6 -> 21 [size =\"35492864\"]\n  6 -> 29 [size =\"35492864\"]\n  6 -> 30 [size =\"35492864\"]\n  7 [size=\"50373120\", alpha=\"0.16\", expect_size=\"20149248\"] \n  7 -> 25 [size =\"20149248\"]\n  7 -> 28 [size =\"20149248\"]\n  7 -> 29 [size =\"20149248\"]\n  7 -> 30 [size =\"20149248\"]\n  8 [size=\"79011840\", alpha=\"0.13\", expect_size=\"31604736\"] \n  8 -> 22 [size =\"31604736\"]\n  8 -> 24 [size =\"31604736\"]\n  8 -> 28 [size =\"31604736\"]\n  8 -> 30 [size =\"31604736\"]\n  9 [size=\"37619200\", alpha=\"0.04\", expect_size=\"15047680\"] \n  9 -> 22 [size =\"15047680\"]\n  9 -> 23 [size =\"15047680\"]\n  9 -> 25 [size =\"15047680\"]\n  9 -> 26 [size =\"15047680\"]\n  9 -> 28 [size =\"15047680\"]\n  9 -> 29 [size =\"15047680\"]\n  9 -> 30 [size =\"15047680\"]\n  10 [size=\"102236160\", alpha=\"0.12\", expect_size=\"40894464\"] \n  10 -> 21 [size =\"40894464\"]\n  10 -> 23 [size =\"40894464\"]\n  10 -> 24 [size =\"40894464\"]\n  10 -> 26 [size =\"40894464\"]\n  10 -> 29 [size =\"40894464\"]\n  10 -> 30 [size =\"40894464\"]\n  10 -> 30 [size =\"40894464\"]\n  11 [size=\"64414720\", alpha=\"0.18\", expect_size=\"25765888\"] \n  11 -> 21 [size =\"25765888\"]\n  11 -> 22 [size =\"25765888\"]\n  11 -> 24 [size =\"25765888\"]\n  11 -> 28 [size =\"25765888\"]\n  11 -> 29 [size =\"25765888\"]\n  11 -> 30 [size =\"25765888\"]\n  12 [size=\"33041920\", alpha=\"0.14\", expect_size=\"13216768\"] \n  12 -> 22 [size =\"13216768\"]\n  12 -> 25 [size =\"13216768\"]\n  12 -> 26 [size =\"13216768\"]\n  13 [size=\"104939520\", alpha=\"0.07\", expect_size=\"41975808\"] \n  13 -> 23 [size =\"41975808\"]\n  13 -> 25 [size =\"41975808\"]\n  13 -> 26 [size =\"41975808\"]\n  13 -> 28 [size =\"41975808\"]\n  13 -> 30 [size =\"41975808\"]\n  14 [size=\"63086080\", alpha=\"0.09\", expect_size=\"25234432\"] \n  14 -> 21 [size =\"25234432\"]\n  14 -> 25 [size =\"25234432\"]\n  14 -> 26 [size =\"25234432\"]\n  14 -> 28 [size =\"25234432\"]\n  15 [size=\"13493760\", alpha=\"0.13\", expect_size=\"5397504\"] \n  15 -> 20 [size =\"5397504\"]\n  15 -> 21 [size =\"5397504\"]\n  15 -> 25 [size =\"5397504\"]\n  15 -> 26 [size =\"5397504\"]\n  15 -> 28 [size =\"5397504\"]\n  15 -> 29 [size =\"5397504\"]\n  15 -> 30 [size =\"5397504\"]\n  16 [size=\"83944960\", alpha=\"0.05\", expect_size=\"33577984\"] \n  16 -> 23 [size =\"33577984\"]\n  16 -> 26 [size =\"33577984\"]\n  16 -> 29 [size =\"33577984\"]\n  17 [size=\"112916480\", alpha=\"0.04\", expect_size=\"45166592\"] \n  17 -> 21 [size =\"45166592\"]\n  17 -> 22 [size =\"45166592\"]\n  17 -> 27 [size =\"45166592\"]\n  17 -> 30 [size =\"45166592\"]\n  18 [size=\"86599680\", alpha=\"0.19\", expect_size=\"34639872\"] \n  18 -> 21 [size =\"34639872\"]\n  18 -> 28 [size =\"34639872\"]\n  19 [size=\"48161280\", alpha=\"0.02\", expect_size=\"19264512\"] \n  19 -> 22 [size =\"19264512\"]\n  19 -> 28 [size =\"19264512\"]\n  20 [size=\"69813760\", alpha=\"0.14\", expect_size=\"27925504\"] \n  21 [size=\"22722560\", alpha=\"0.08\", expect_size=\"9089024\"] \n  22 [size=\"13867520\", alpha=\"0.06\", expect_size=\"5547008\"] \n  23 [size=\"96550400\", alpha=\"0.09\", expect_size=\"38620160\"] \n  24 [size=\"19082240\", alpha=\"0.15\", expect_size=\"7632896\"] \n  25 [size=\"72535040\", alpha=\"0.11\", expect_size=\"29014016\"] \n  26 [size=\"34160640\", alpha=\"0.19\", expect_size=\"13664256\"] \n  27 [size=\"61529600\", alpha=\"0.15\", expect_size=\"24611840\"] \n  28 [size=\"86333440\", alpha=\"0.01\", expect_size=\"34533376\"] \n  29 [size=\"80709120\", alpha=\"0.11\", expect_size=\"32283648\"] \n  30 [size=\"90147840\", alpha=\"0.17\", expect_size=\"36059136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151773867\", alpha=\"0.17\", expect_size=\"45532160\"] \n  1 -> 2 [size =\"45532160\"]\n  2 [size=\"18636800\", alpha=\"0.19\", expect_size=\"5591040\"] \n  2 -> 3 [size =\"5591040\"]\n  3 [size=\"39038293\", alpha=\"0.03\", expect_size=\"11711488\"] \n  3 -> 4 [size =\"11711488\"]\n  4 [size=\"103024640\", alpha=\"0.07\", expect_size=\"30907392\"] \n  4 -> 5 [size =\"30907392\"]\n  5 [size=\"91886933\", alpha=\"0.10\", expect_size=\"27566080\"] \n  5 -> 6 [size =\"27566080\"]\n  6 [size=\"168475307\", alpha=\"0.09\", expect_size=\"50542592\"] \n  6 -> 7 [size =\"50542592\"]\n  7 [size=\"36778667\", alpha=\"0.11\", expect_size=\"11033600\"] \n  7 -> 8 [size =\"11033600\"]\n  8 [size=\"107953493\", alpha=\"0.14\", expect_size=\"32386048\"] \n  8 -> 9 [size =\"32386048\"]\n  9 [size=\"153797973\", alpha=\"0.17\", expect_size=\"46139392\"] \n  9 -> 10 [size =\"46139392\"]\n  10 [size=\"93460480\", alpha=\"0.14\", expect_size=\"28038144\"] \n  10 -> 11 [size =\"28038144\"]\n  11 [size=\"151743147\", alpha=\"0.04\", expect_size=\"45522944\"] \n  11 -> 12 [size =\"45522944\"]\n  12 [size=\"131945813\", alpha=\"0.13\", expect_size=\"39583744\"] \n  12 -> 13 [size =\"39583744\"]\n  13 [size=\"127860053\", alpha=\"0.02\", expect_size=\"38358016\"] \n  13 -> 14 [size =\"38358016\"]\n  14 [size=\"154767360\", alpha=\"0.07\", expect_size=\"46430208\"] \n  14 -> 15 [size =\"46430208\"]\n  15 [size=\"49759573\", alpha=\"0.11\", expect_size=\"14927872\"] \n  15 -> 16 [size =\"14927872\"]\n  16 [size=\"130344960\", alpha=\"0.17\", expect_size=\"39103488\"] \n  16 -> 17 [size =\"39103488\"]\n  17 [size=\"46851413\", alpha=\"0.12\", expect_size=\"14055424\"] \n  17 -> 18 [size =\"14055424\"]\n  18 [size=\"130887680\", alpha=\"0.19\", expect_size=\"39266304\"] \n  18 -> 19 [size =\"39266304\"]\n  19 [size=\"85606400\", alpha=\"0.09\", expect_size=\"25681920\"] \n  19 -> 20 [size =\"25681920\"]\n  20 [size=\"60337493\", alpha=\"0.10\", expect_size=\"18101248\"] \n  20 -> 21 [size =\"18101248\"]\n  21 [size=\"170670080\", alpha=\"0.07\", expect_size=\"51201024\"] \n  21 -> 22 [size =\"51201024\"]\n  22 [size=\"44260693\", alpha=\"0.05\", expect_size=\"13278208\"] \n  22 -> 23 [size =\"13278208\"]\n  23 [size=\"147104427\", alpha=\"0.06\", expect_size=\"44131328\"] \n  23 -> 24 [size =\"44131328\"]\n  24 [size=\"164000427\", alpha=\"0.17\", expect_size=\"49200128\"] \n  24 -> 25 [size =\"49200128\"]\n  25 [size=\"64928427\", alpha=\"0.18\", expect_size=\"19478528\"] \n  25 -> 26 [size =\"19478528\"]\n  26 [size=\"150176427\", alpha=\"0.18\", expect_size=\"45052928\"] \n  26 -> 27 [size =\"45052928\"]\n  27 [size=\"126679040\", alpha=\"0.01\", expect_size=\"38003712\"] \n  27 -> 28 [size =\"38003712\"]\n  28 [size=\"63429973\", alpha=\"0.15\", expect_size=\"19028992\"] \n  28 -> 29 [size =\"19028992\"]\n  29 [size=\"51722240\", alpha=\"0.06\", expect_size=\"15516672\"] \n  29 -> 30 [size =\"15516672\"]\n  30 [size=\"121965227\", alpha=\"0.07\", expect_size=\"36589568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24350720\", alpha=\"0.17\", expect_size=\"9740288\"] \n  1 -> 2 [size =\"9740288\"]\n  2 [size=\"55060480\", alpha=\"0.16\", expect_size=\"22024192\"] \n  2 -> 3 [size =\"22024192\"]\n  3 [size=\"63690240\", alpha=\"0.12\", expect_size=\"25476096\"] \n  3 -> 4 [size =\"25476096\"]\n  4 [size=\"66040320\", alpha=\"0.16\", expect_size=\"26416128\"] \n  4 -> 5 [size =\"26416128\"]\n  5 [size=\"37199360\", alpha=\"0.01\", expect_size=\"14879744\"] \n  5 -> 6 [size =\"14879744\"]\n  6 [size=\"34032640\", alpha=\"0.08\", expect_size=\"13613056\"] \n  6 -> 7 [size =\"13613056\"]\n  7 [size=\"57016320\", alpha=\"0.16\", expect_size=\"22806528\"] \n  7 -> 8 [size =\"22806528\"]\n  8 [size=\"69002240\", alpha=\"0.18\", expect_size=\"27600896\"] \n  8 -> 9 [size =\"27600896\"]\n  9 [size=\"73602560\", alpha=\"0.19\", expect_size=\"29441024\"] \n  9 -> 10 [size =\"29441024\"]\n  10 [size=\"19604480\", alpha=\"0.01\", expect_size=\"7841792\"] \n  10 -> 11 [size =\"7841792\"]\n  11 [size=\"79288320\", alpha=\"0.19\", expect_size=\"31715328\"] \n  11 -> 12 [size =\"31715328\"]\n  12 [size=\"60093440\", alpha=\"0.09\", expect_size=\"24037376\"] \n  12 -> 13 [size =\"24037376\"]\n  13 [size=\"37358080\", alpha=\"0.04\", expect_size=\"14943232\"] \n  13 -> 14 [size =\"14943232\"]\n  14 [size=\"107758080\", alpha=\"0.08\", expect_size=\"43103232\"] \n  14 -> 15 [size =\"43103232\"]\n  15 [size=\"81812480\", alpha=\"0.07\", expect_size=\"32724992\"] \n  15 -> 16 [size =\"32724992\"]\n  16 [size=\"89738240\", alpha=\"0.16\", expect_size=\"35895296\"] \n  16 -> 17 [size =\"35895296\"]\n  17 [size=\"17976320\", alpha=\"0.03\", expect_size=\"7190528\"] \n  17 -> 18 [size =\"7190528\"]\n  18 [size=\"110686720\", alpha=\"0.03\", expect_size=\"44274688\"] \n  18 -> 19 [size =\"44274688\"]\n  19 [size=\"96051200\", alpha=\"0.07\", expect_size=\"38420480\"] \n  19 -> 20 [size =\"38420480\"]\n  20 [size=\"92482560\", alpha=\"0.08\", expect_size=\"36993024\"] \n  20 -> 21 [size =\"36993024\"]\n  21 [size=\"95613440\", alpha=\"0.12\", expect_size=\"38245376\"] \n  21 -> 22 [size =\"38245376\"]\n  22 [size=\"87900160\", alpha=\"0.03\", expect_size=\"35160064\"] \n  22 -> 23 [size =\"35160064\"]\n  23 [size=\"22763520\", alpha=\"0.02\", expect_size=\"9105408\"] \n  23 -> 24 [size =\"9105408\"]\n  24 [size=\"44190720\", alpha=\"0.10\", expect_size=\"17676288\"] \n  24 -> 25 [size =\"17676288\"]\n  25 [size=\"91018240\", alpha=\"0.02\", expect_size=\"36407296\"] \n  25 -> 26 [size =\"36407296\"]\n  26 [size=\"129671680\", alpha=\"0.18\", expect_size=\"51868672\"] \n  26 -> 27 [size =\"51868672\"]\n  27 [size=\"108264960\", alpha=\"0.02\", expect_size=\"43305984\"] \n  27 -> 28 [size =\"43305984\"]\n  28 [size=\"124715520\", alpha=\"0.14\", expect_size=\"49886208\"] \n  28 -> 29 [size =\"49886208\"]\n  29 [size=\"25052160\", alpha=\"0.17\", expect_size=\"10020864\"] \n  29 -> 30 [size =\"10020864\"]\n  30 [size=\"64012800\", alpha=\"0.01\", expect_size=\"25605120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29324800\", alpha=\"0.14\", expect_size=\"11729920\"] \n  1 -> 4 [size =\"11729920\"]\n  1 -> 5 [size =\"11729920\"]\n  2 [size=\"23413760\", alpha=\"0.08\", expect_size=\"9365504\"] \n  2 -> 4 [size =\"9365504\"]\n  2 -> 5 [size =\"9365504\"]\n  2 -> 6 [size =\"9365504\"]\n  3 [size=\"127086080\", alpha=\"0.04\", expect_size=\"50834432\"] \n  3 -> 6 [size =\"50834432\"]\n  4 [size=\"40872960\", alpha=\"0.05\", expect_size=\"16349184\"] \n  4 -> 7 [size =\"16349184\"]\n  4 -> 8 [size =\"16349184\"]\n  4 -> 9 [size =\"16349184\"]\n  5 [size=\"43886080\", alpha=\"0.00\", expect_size=\"17554432\"] \n  5 -> 7 [size =\"17554432\"]\n  5 -> 10 [size =\"17554432\"]\n  6 [size=\"48363520\", alpha=\"0.01\", expect_size=\"19345408\"] \n  6 -> 8 [size =\"19345408\"]\n  6 -> 9 [size =\"19345408\"]\n  6 -> 10 [size =\"19345408\"]\n  7 [size=\"129082880\", alpha=\"0.05\", expect_size=\"51633152\"] \n  7 -> 11 [size =\"51633152\"]\n  7 -> 12 [size =\"51633152\"]\n  8 [size=\"31902720\", alpha=\"0.07\", expect_size=\"12761088\"] \n  8 -> 14 [size =\"12761088\"]\n  9 [size=\"51095040\", alpha=\"0.12\", expect_size=\"20438016\"] \n  9 -> 13 [size =\"20438016\"]\n  9 -> 14 [size =\"20438016\"]\n  10 [size=\"91694080\", alpha=\"0.11\", expect_size=\"36677632\"] \n  10 -> 11 [size =\"36677632\"]\n  10 -> 12 [size =\"36677632\"]\n  10 -> 13 [size =\"36677632\"]\n  10 -> 14 [size =\"36677632\"]\n  11 [size=\"19361280\", alpha=\"0.04\", expect_size=\"7744512\"] \n  11 -> 15 [size =\"7744512\"]\n  11 -> 18 [size =\"7744512\"]\n  12 [size=\"103201280\", alpha=\"0.04\", expect_size=\"41280512\"] \n  12 -> 18 [size =\"41280512\"]\n  13 [size=\"32506880\", alpha=\"0.04\", expect_size=\"13002752\"] \n  13 -> 16 [size =\"13002752\"]\n  14 [size=\"56038400\", alpha=\"0.19\", expect_size=\"22415360\"] \n  14 -> 16 [size =\"22415360\"]\n  14 -> 17 [size =\"22415360\"]\n  15 [size=\"83381760\", alpha=\"0.05\", expect_size=\"33352704\"] \n  16 [size=\"84782080\", alpha=\"0.08\", expect_size=\"33912832\"] \n  16 -> 19 [size =\"33912832\"]\n  16 -> 21 [size =\"33912832\"]\n  17 [size=\"93209600\", alpha=\"0.04\", expect_size=\"37283840\"] \n  17 -> 20 [size =\"37283840\"]\n  18 [size=\"124357120\", alpha=\"0.11\", expect_size=\"49742848\"] \n  18 -> 19 [size =\"49742848\"]\n  18 -> 20 [size =\"49742848\"]\n  18 -> 21 [size =\"49742848\"]\n  19 [size=\"46008320\", alpha=\"0.05\", expect_size=\"18403328\"] \n  19 -> 23 [size =\"18403328\"]\n  19 -> 24 [size =\"18403328\"]\n  19 -> 25 [size =\"18403328\"]\n  19 -> 27 [size =\"18403328\"]\n  20 [size=\"115079680\", alpha=\"0.00\", expect_size=\"46031872\"] \n  20 -> 24 [size =\"46031872\"]\n  20 -> 26 [size =\"46031872\"]\n  20 -> 27 [size =\"46031872\"]\n  21 [size=\"60019200\", alpha=\"0.18\", expect_size=\"24007680\"] \n  21 -> 22 [size =\"24007680\"]\n  21 -> 23 [size =\"24007680\"]\n  21 -> 26 [size =\"24007680\"]\n  22 [size=\"82447360\", alpha=\"0.17\", expect_size=\"32978944\"] \n  22 -> 30 [size =\"32978944\"]\n  23 [size=\"107837440\", alpha=\"0.15\", expect_size=\"43134976\"] \n  23 -> 28 [size =\"43134976\"]\n  23 -> 29 [size =\"43134976\"]\n  24 [size=\"13839360\", alpha=\"0.19\", expect_size=\"5535744\"] \n  24 -> 29 [size =\"5535744\"]\n  25 [size=\"123530240\", alpha=\"0.07\", expect_size=\"49412096\"] \n  25 -> 29 [size =\"49412096\"]\n  26 [size=\"34503680\", alpha=\"0.02\", expect_size=\"13801472\"] \n  27 [size=\"79180800\", alpha=\"0.16\", expect_size=\"31672320\"] \n  28 [size=\"102241280\", alpha=\"0.13\", expect_size=\"40896512\"] \n  29 [size=\"48483840\", alpha=\"0.17\", expect_size=\"19393536\"] \n  30 [size=\"79523840\", alpha=\"0.14\", expect_size=\"31809536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43212800\", alpha=\"0.15\", expect_size=\"12963840\"] \n  1 -> 8 [size =\"12963840\"]\n  2 [size=\"146274987\", alpha=\"0.18\", expect_size=\"43882496\"] \n  2 -> 6 [size =\"43882496\"]\n  3 [size=\"67635200\", alpha=\"0.19\", expect_size=\"20290560\"] \n  3 -> 7 [size =\"20290560\"]\n  4 [size=\"158491307\", alpha=\"0.05\", expect_size=\"47547392\"] \n  4 -> 6 [size =\"47547392\"]\n  5 [size=\"111906133\", alpha=\"0.18\", expect_size=\"33571840\"] \n  5 -> 8 [size =\"33571840\"]\n  5 -> 9 [size =\"33571840\"]\n  6 [size=\"81739093\", alpha=\"0.10\", expect_size=\"24521728\"] \n  6 -> 14 [size =\"24521728\"]\n  7 [size=\"107765760\", alpha=\"0.18\", expect_size=\"32329728\"] \n  7 -> 11 [size =\"32329728\"]\n  7 -> 12 [size =\"32329728\"]\n  7 -> 15 [size =\"32329728\"]\n  8 [size=\"46626133\", alpha=\"0.05\", expect_size=\"13987840\"] \n  8 -> 10 [size =\"13987840\"]\n  9 [size=\"25914027\", alpha=\"0.15\", expect_size=\"7774208\"] \n  9 -> 12 [size =\"7774208\"]\n  9 -> 13 [size =\"7774208\"]\n  9 -> 14 [size =\"7774208\"]\n  10 [size=\"21121707\", alpha=\"0.09\", expect_size=\"6336512\"] \n  10 -> 17 [size =\"6336512\"]\n  10 -> 19 [size =\"6336512\"]\n  11 [size=\"171301547\", alpha=\"0.08\", expect_size=\"51390464\"] \n  11 -> 19 [size =\"51390464\"]\n  12 [size=\"130409813\", alpha=\"0.13\", expect_size=\"39122944\"] \n  12 -> 21 [size =\"39122944\"]\n  13 [size=\"114841600\", alpha=\"0.03\", expect_size=\"34452480\"] \n  13 -> 17 [size =\"34452480\"]\n  13 -> 18 [size =\"34452480\"]\n  13 -> 21 [size =\"34452480\"]\n  14 [size=\"104970240\", alpha=\"0.04\", expect_size=\"31491072\"] \n  14 -> 16 [size =\"31491072\"]\n  14 -> 18 [size =\"31491072\"]\n  14 -> 19 [size =\"31491072\"]\n  14 -> 21 [size =\"31491072\"]\n  15 [size=\"144186027\", alpha=\"0.14\", expect_size=\"43255808\"] \n  15 -> 20 [size =\"43255808\"]\n  16 [size=\"126600533\", alpha=\"0.12\", expect_size=\"37980160\"] \n  17 [size=\"51152213\", alpha=\"0.03\", expect_size=\"15345664\"] \n  17 -> 24 [size =\"15345664\"]\n  17 -> 26 [size =\"15345664\"]\n  18 [size=\"31941973\", alpha=\"0.11\", expect_size=\"9582592\"] \n  18 -> 22 [size =\"9582592\"]\n  18 -> 24 [size =\"9582592\"]\n  18 -> 26 [size =\"9582592\"]\n  19 [size=\"72444587\", alpha=\"0.15\", expect_size=\"21733376\"] \n  19 -> 23 [size =\"21733376\"]\n  20 [size=\"31675733\", alpha=\"0.17\", expect_size=\"9502720\"] \n  20 -> 25 [size =\"9502720\"]\n  21 [size=\"101901653\", alpha=\"0.02\", expect_size=\"30570496\"] \n  21 -> 22 [size =\"30570496\"]\n  21 -> 23 [size =\"30570496\"]\n  21 -> 24 [size =\"30570496\"]\n  21 -> 25 [size =\"30570496\"]\n  22 [size=\"167290880\", alpha=\"0.04\", expect_size=\"50187264\"] \n  22 -> 29 [size =\"50187264\"]\n  22 -> 30 [size =\"50187264\"]\n  23 [size=\"110100480\", alpha=\"0.12\", expect_size=\"33030144\"] \n  23 -> 29 [size =\"33030144\"]\n  24 [size=\"130573653\", alpha=\"0.18\", expect_size=\"39172096\"] \n  24 -> 27 [size =\"39172096\"]\n  24 -> 28 [size =\"39172096\"]\n  25 [size=\"158965760\", alpha=\"0.16\", expect_size=\"47689728\"] \n  25 -> 28 [size =\"47689728\"]\n  26 [size=\"115169280\", alpha=\"0.02\", expect_size=\"34550784\"] \n  27 [size=\"55729493\", alpha=\"0.19\", expect_size=\"16718848\"] \n  28 [size=\"76530347\", alpha=\"0.00\", expect_size=\"22959104\"] \n  29 [size=\"164287147\", alpha=\"0.03\", expect_size=\"49286144\"] \n  30 [size=\"127774720\", alpha=\"0.05\", expect_size=\"38332416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16186880\", alpha=\"0.18\", expect_size=\"6474752\"] \n  1 -> 11 [size =\"6474752\"]\n  1 -> 12 [size =\"6474752\"]\n  1 -> 15 [size =\"6474752\"]\n  1 -> 18 [size =\"6474752\"]\n  2 [size=\"117754880\", alpha=\"0.17\", expect_size=\"47101952\"] \n  2 -> 12 [size =\"47101952\"]\n  2 -> 14 [size =\"47101952\"]\n  2 -> 16 [size =\"47101952\"]\n  2 -> 17 [size =\"47101952\"]\n  2 -> 18 [size =\"47101952\"]\n  3 [size=\"70917120\", alpha=\"0.15\", expect_size=\"28366848\"] \n  3 -> 11 [size =\"28366848\"]\n  3 -> 12 [size =\"28366848\"]\n  3 -> 15 [size =\"28366848\"]\n  3 -> 17 [size =\"28366848\"]\n  3 -> 20 [size =\"28366848\"]\n  4 [size=\"86702080\", alpha=\"0.18\", expect_size=\"34680832\"] \n  4 -> 12 [size =\"34680832\"]\n  4 -> 14 [size =\"34680832\"]\n  4 -> 15 [size =\"34680832\"]\n  4 -> 18 [size =\"34680832\"]\n  4 -> 20 [size =\"34680832\"]\n  5 [size=\"50713600\", alpha=\"0.16\", expect_size=\"20285440\"] \n  5 -> 12 [size =\"20285440\"]\n  5 -> 13 [size =\"20285440\"]\n  5 -> 15 [size =\"20285440\"]\n  5 -> 17 [size =\"20285440\"]\n  5 -> 20 [size =\"20285440\"]\n  6 [size=\"70988800\", alpha=\"0.01\", expect_size=\"28395520\"] \n  6 -> 12 [size =\"28395520\"]\n  6 -> 15 [size =\"28395520\"]\n  6 -> 15 [size =\"28395520\"]\n  6 -> 18 [size =\"28395520\"]\n  6 -> 20 [size =\"28395520\"]\n  7 [size=\"74675200\", alpha=\"0.15\", expect_size=\"29870080\"] \n  7 -> 11 [size =\"29870080\"]\n  7 -> 12 [size =\"29870080\"]\n  7 -> 15 [size =\"29870080\"]\n  7 -> 17 [size =\"29870080\"]\n  7 -> 19 [size =\"29870080\"]\n  8 [size=\"76730880\", alpha=\"0.06\", expect_size=\"30692352\"] \n  8 -> 15 [size =\"30692352\"]\n  8 -> 17 [size =\"30692352\"]\n  9 [size=\"81984000\", alpha=\"0.18\", expect_size=\"32793600\"] \n  9 -> 12 [size =\"32793600\"]\n  9 -> 18 [size =\"32793600\"]\n  9 -> 20 [size =\"32793600\"]\n  10 [size=\"106882560\", alpha=\"0.14\", expect_size=\"42753024\"] \n  10 -> 12 [size =\"42753024\"]\n  11 [size=\"56954880\", alpha=\"0.06\", expect_size=\"22781952\"] \n  11 -> 21 [size =\"22781952\"]\n  11 -> 22 [size =\"22781952\"]\n  11 -> 24 [size =\"22781952\"]\n  11 -> 26 [size =\"22781952\"]\n  11 -> 27 [size =\"22781952\"]\n  11 -> 28 [size =\"22781952\"]\n  11 -> 29 [size =\"22781952\"]\n  11 -> 30 [size =\"22781952\"]\n  12 [size=\"45012480\", alpha=\"0.17\", expect_size=\"18004992\"] \n  12 -> 21 [size =\"18004992\"]\n  12 -> 22 [size =\"18004992\"]\n  12 -> 24 [size =\"18004992\"]\n  12 -> 25 [size =\"18004992\"]\n  12 -> 27 [size =\"18004992\"]\n  12 -> 30 [size =\"18004992\"]\n  13 [size=\"27752960\", alpha=\"0.02\", expect_size=\"11101184\"] \n  13 -> 22 [size =\"11101184\"]\n  13 -> 24 [size =\"11101184\"]\n  13 -> 25 [size =\"11101184\"]\n  13 -> 26 [size =\"11101184\"]\n  13 -> 27 [size =\"11101184\"]\n  13 -> 29 [size =\"11101184\"]\n  13 -> 30 [size =\"11101184\"]\n  14 [size=\"113625600\", alpha=\"0.14\", expect_size=\"45450240\"] \n  14 -> 21 [size =\"45450240\"]\n  14 -> 22 [size =\"45450240\"]\n  14 -> 23 [size =\"45450240\"]\n  14 -> 25 [size =\"45450240\"]\n  14 -> 26 [size =\"45450240\"]\n  14 -> 29 [size =\"45450240\"]\n  14 -> 30 [size =\"45450240\"]\n  15 [size=\"104673280\", alpha=\"0.12\", expect_size=\"41869312\"] \n  15 -> 25 [size =\"41869312\"]\n  15 -> 26 [size =\"41869312\"]\n  15 -> 27 [size =\"41869312\"]\n  15 -> 29 [size =\"41869312\"]\n  15 -> 30 [size =\"41869312\"]\n  16 [size=\"78965760\", alpha=\"0.19\", expect_size=\"31586304\"] \n  16 -> 22 [size =\"31586304\"]\n  16 -> 23 [size =\"31586304\"]\n  16 -> 24 [size =\"31586304\"]\n  16 -> 25 [size =\"31586304\"]\n  16 -> 26 [size =\"31586304\"]\n  16 -> 27 [size =\"31586304\"]\n  16 -> 28 [size =\"31586304\"]\n  16 -> 29 [size =\"31586304\"]\n  17 [size=\"83420160\", alpha=\"0.15\", expect_size=\"33368064\"] \n  17 -> 21 [size =\"33368064\"]\n  17 -> 23 [size =\"33368064\"]\n  17 -> 24 [size =\"33368064\"]\n  17 -> 25 [size =\"33368064\"]\n  17 -> 26 [size =\"33368064\"]\n  17 -> 27 [size =\"33368064\"]\n  17 -> 30 [size =\"33368064\"]\n  18 [size=\"56061440\", alpha=\"0.15\", expect_size=\"22424576\"] \n  18 -> 21 [size =\"22424576\"]\n  18 -> 23 [size =\"22424576\"]\n  18 -> 24 [size =\"22424576\"]\n  18 -> 25 [size =\"22424576\"]\n  18 -> 26 [size =\"22424576\"]\n  18 -> 27 [size =\"22424576\"]\n  18 -> 30 [size =\"22424576\"]\n  19 [size=\"91883520\", alpha=\"0.17\", expect_size=\"36753408\"] \n  19 -> 21 [size =\"36753408\"]\n  19 -> 22 [size =\"36753408\"]\n  19 -> 24 [size =\"36753408\"]\n  19 -> 25 [size =\"36753408\"]\n  19 -> 26 [size =\"36753408\"]\n  19 -> 27 [size =\"36753408\"]\n  19 -> 29 [size =\"36753408\"]\n  19 -> 30 [size =\"36753408\"]\n  20 [size=\"79178240\", alpha=\"0.09\", expect_size=\"31671296\"] \n  20 -> 21 [size =\"31671296\"]\n  20 -> 22 [size =\"31671296\"]\n  20 -> 23 [size =\"31671296\"]\n  20 -> 24 [size =\"31671296\"]\n  20 -> 25 [size =\"31671296\"]\n  20 -> 26 [size =\"31671296\"]\n  20 -> 29 [size =\"31671296\"]\n  20 -> 30 [size =\"31671296\"]\n  21 [size=\"44101120\", alpha=\"0.02\", expect_size=\"17640448\"] \n  22 [size=\"76823040\", alpha=\"0.13\", expect_size=\"30729216\"] \n  23 [size=\"57689600\", alpha=\"0.13\", expect_size=\"23075840\"] \n  24 [size=\"66972160\", alpha=\"0.06\", expect_size=\"26788864\"] \n  25 [size=\"28920320\", alpha=\"0.05\", expect_size=\"11568128\"] \n  26 [size=\"98844160\", alpha=\"0.14\", expect_size=\"39537664\"] \n  27 [size=\"94067200\", alpha=\"0.14\", expect_size=\"37626880\"] \n  28 [size=\"66723840\", alpha=\"0.04\", expect_size=\"26689536\"] \n  29 [size=\"36055040\", alpha=\"0.06\", expect_size=\"14422016\"] \n  30 [size=\"18892800\", alpha=\"0.04\", expect_size=\"7557120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101120000\", alpha=\"0.13\", expect_size=\"30336000\"] \n  1 -> 2 [size =\"30336000\"]\n  2 [size=\"51302400\", alpha=\"0.12\", expect_size=\"15390720\"] \n  2 -> 3 [size =\"15390720\"]\n  3 [size=\"26443093\", alpha=\"0.05\", expect_size=\"7932928\"] \n  3 -> 4 [size =\"7932928\"]\n  4 [size=\"21203627\", alpha=\"0.01\", expect_size=\"6361088\"] \n  4 -> 5 [size =\"6361088\"]\n  5 [size=\"108383573\", alpha=\"0.05\", expect_size=\"32515072\"] \n  5 -> 6 [size =\"32515072\"]\n  6 [size=\"172957013\", alpha=\"0.10\", expect_size=\"51887104\"] \n  6 -> 7 [size =\"51887104\"]\n  7 [size=\"65157120\", alpha=\"0.14\", expect_size=\"19547136\"] \n  7 -> 8 [size =\"19547136\"]\n  8 [size=\"94651733\", alpha=\"0.09\", expect_size=\"28395520\"] \n  8 -> 9 [size =\"28395520\"]\n  9 [size=\"97249280\", alpha=\"0.07\", expect_size=\"29174784\"] \n  9 -> 10 [size =\"29174784\"]\n  10 [size=\"133550080\", alpha=\"0.03\", expect_size=\"40065024\"] \n  10 -> 11 [size =\"40065024\"]\n  11 [size=\"138147840\", alpha=\"0.14\", expect_size=\"41444352\"] \n  11 -> 12 [size =\"41444352\"]\n  12 [size=\"85876053\", alpha=\"0.18\", expect_size=\"25762816\"] \n  12 -> 13 [size =\"25762816\"]\n  13 [size=\"24961707\", alpha=\"0.14\", expect_size=\"7488512\"] \n  13 -> 14 [size =\"7488512\"]\n  14 [size=\"66768213\", alpha=\"0.13\", expect_size=\"20030464\"] \n  14 -> 15 [size =\"20030464\"]\n  15 [size=\"71273813\", alpha=\"0.11\", expect_size=\"21382144\"] \n  15 -> 16 [size =\"21382144\"]\n  16 [size=\"108144640\", alpha=\"0.14\", expect_size=\"32443392\"] \n  16 -> 17 [size =\"32443392\"]\n  17 [size=\"32163840\", alpha=\"0.14\", expect_size=\"9649152\"] \n  17 -> 18 [size =\"9649152\"]\n  18 [size=\"144138240\", alpha=\"0.07\", expect_size=\"43241472\"] \n  18 -> 19 [size =\"43241472\"]\n  19 [size=\"54708907\", alpha=\"0.20\", expect_size=\"16412672\"] \n  19 -> 20 [size =\"16412672\"]\n  20 [size=\"112547840\", alpha=\"0.02\", expect_size=\"33764352\"] \n  20 -> 21 [size =\"33764352\"]\n  21 [size=\"139895467\", alpha=\"0.15\", expect_size=\"41968640\"] \n  21 -> 22 [size =\"41968640\"]\n  22 [size=\"92617387\", alpha=\"0.12\", expect_size=\"27785216\"] \n  22 -> 23 [size =\"27785216\"]\n  23 [size=\"75653120\", alpha=\"0.11\", expect_size=\"22695936\"] \n  23 -> 24 [size =\"22695936\"]\n  24 [size=\"27675307\", alpha=\"0.10\", expect_size=\"8302592\"] \n  24 -> 25 [size =\"8302592\"]\n  25 [size=\"131211947\", alpha=\"0.01\", expect_size=\"39363584\"] \n  25 -> 26 [size =\"39363584\"]\n  26 [size=\"60330667\", alpha=\"0.11\", expect_size=\"18099200\"] \n  26 -> 27 [size =\"18099200\"]\n  27 [size=\"167290880\", alpha=\"0.07\", expect_size=\"50187264\"] \n  27 -> 28 [size =\"50187264\"]\n  28 [size=\"118487040\", alpha=\"0.14\", expect_size=\"35546112\"] \n  28 -> 29 [size =\"35546112\"]\n  29 [size=\"170748587\", alpha=\"0.10\", expect_size=\"51224576\"] \n  29 -> 30 [size =\"51224576\"]\n  30 [size=\"167028053\", alpha=\"0.01\", expect_size=\"50108416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75151360\", alpha=\"0.05\", expect_size=\"30060544\"] \n  1 -> 2 [size =\"30060544\"]\n  2 [size=\"87964160\", alpha=\"0.10\", expect_size=\"35185664\"] \n  2 -> 3 [size =\"35185664\"]\n  2 -> 4 [size =\"35185664\"]\n  3 [size=\"61127680\", alpha=\"0.18\", expect_size=\"24451072\"] \n  3 -> 5 [size =\"24451072\"]\n  4 [size=\"13893120\", alpha=\"0.16\", expect_size=\"5557248\"] \n  4 -> 5 [size =\"5557248\"]\n  5 [size=\"65817600\", alpha=\"0.12\", expect_size=\"26327040\"] \n  5 -> 6 [size =\"26327040\"]\n  5 -> 7 [size =\"26327040\"]\n  6 [size=\"102650880\", alpha=\"0.07\", expect_size=\"41060352\"] \n  6 -> 8 [size =\"41060352\"]\n  6 -> 9 [size =\"41060352\"]\n  7 [size=\"83535360\", alpha=\"0.19\", expect_size=\"33414144\"] \n  7 -> 8 [size =\"33414144\"]\n  8 [size=\"64284160\", alpha=\"0.16\", expect_size=\"25713664\"] \n  9 [size=\"92433920\", alpha=\"0.14\", expect_size=\"36973568\"] \n  9 -> 10 [size =\"36973568\"]\n  9 -> 11 [size =\"36973568\"]\n  10 [size=\"53342720\", alpha=\"0.11\", expect_size=\"21337088\"] \n  10 -> 12 [size =\"21337088\"]\n  10 -> 13 [size =\"21337088\"]\n  11 [size=\"27028480\", alpha=\"0.08\", expect_size=\"10811392\"] \n  11 -> 12 [size =\"10811392\"]\n  11 -> 13 [size =\"10811392\"]\n  12 [size=\"57072640\", alpha=\"0.03\", expect_size=\"22829056\"] \n  13 [size=\"113259520\", alpha=\"0.07\", expect_size=\"45303808\"] \n  13 -> 14 [size =\"45303808\"]\n  13 -> 15 [size =\"45303808\"]\n  14 [size=\"99996160\", alpha=\"0.20\", expect_size=\"39998464\"] \n  14 -> 16 [size =\"39998464\"]\n  14 -> 17 [size =\"39998464\"]\n  15 [size=\"74539520\", alpha=\"0.02\", expect_size=\"29815808\"] \n  15 -> 16 [size =\"29815808\"]\n  15 -> 17 [size =\"29815808\"]\n  16 [size=\"24460800\", alpha=\"0.01\", expect_size=\"9784320\"] \n  16 -> 18 [size =\"9784320\"]\n  17 [size=\"67161600\", alpha=\"0.15\", expect_size=\"26864640\"] \n  17 -> 18 [size =\"26864640\"]\n  18 [size=\"60418560\", alpha=\"0.15\", expect_size=\"24167424\"] \n  18 -> 19 [size =\"24167424\"]\n  18 -> 20 [size =\"24167424\"]\n  19 [size=\"39703040\", alpha=\"0.00\", expect_size=\"15881216\"] \n  19 -> 21 [size =\"15881216\"]\n  20 [size=\"124864000\", alpha=\"0.09\", expect_size=\"49945600\"] \n  20 -> 21 [size =\"49945600\"]\n  21 [size=\"74048000\", alpha=\"0.08\", expect_size=\"29619200\"] \n  21 -> 22 [size =\"29619200\"]\n  22 [size=\"121950720\", alpha=\"0.00\", expect_size=\"48780288\"] \n  22 -> 23 [size =\"48780288\"]\n  22 -> 24 [size =\"48780288\"]\n  23 [size=\"24040960\", alpha=\"0.01\", expect_size=\"9616384\"] \n  23 -> 25 [size =\"9616384\"]\n  24 [size=\"62528000\", alpha=\"0.01\", expect_size=\"25011200\"] \n  24 -> 25 [size =\"25011200\"]\n  24 -> 26 [size =\"25011200\"]\n  25 [size=\"61352960\", alpha=\"0.10\", expect_size=\"24541184\"] \n  25 -> 27 [size =\"24541184\"]\n  26 [size=\"75471360\", alpha=\"0.15\", expect_size=\"30188544\"] \n  26 -> 27 [size =\"30188544\"]\n  27 [size=\"83043840\", alpha=\"0.11\", expect_size=\"33217536\"] \n  27 -> 28 [size =\"33217536\"]\n  27 -> 29 [size =\"33217536\"]\n  28 [size=\"54046720\", alpha=\"0.16\", expect_size=\"21618688\"] \n  28 -> 30 [size =\"21618688\"]\n  29 [size=\"22087680\", alpha=\"0.14\", expect_size=\"8835072\"] \n  29 -> 30 [size =\"8835072\"]\n  30 [size=\"24153600\", alpha=\"0.20\", expect_size=\"9661440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124346880\", alpha=\"0.14\", expect_size=\"49738752\"] \n  1 -> 16 [size =\"49738752\"]\n  1 -> 17 [size =\"49738752\"]\n  1 -> 18 [size =\"49738752\"]\n  1 -> 22 [size =\"49738752\"]\n  1 -> 28 [size =\"49738752\"]\n  2 [size=\"18854400\", alpha=\"0.14\", expect_size=\"7541760\"] \n  2 -> 14 [size =\"7541760\"]\n  2 -> 17 [size =\"7541760\"]\n  2 -> 19 [size =\"7541760\"]\n  2 -> 22 [size =\"7541760\"]\n  2 -> 26 [size =\"7541760\"]\n  3 [size=\"71232000\", alpha=\"0.04\", expect_size=\"28492800\"] \n  3 -> 14 [size =\"28492800\"]\n  3 -> 15 [size =\"28492800\"]\n  4 [size=\"16097280\", alpha=\"0.07\", expect_size=\"6438912\"] \n  4 -> 14 [size =\"6438912\"]\n  4 -> 16 [size =\"6438912\"]\n  4 -> 25 [size =\"6438912\"]\n  5 [size=\"80232960\", alpha=\"0.17\", expect_size=\"32093184\"] \n  5 -> 14 [size =\"32093184\"]\n  5 -> 15 [size =\"32093184\"]\n  5 -> 18 [size =\"32093184\"]\n  5 -> 21 [size =\"32093184\"]\n  5 -> 22 [size =\"32093184\"]\n  5 -> 23 [size =\"32093184\"]\n  5 -> 25 [size =\"32093184\"]\n  5 -> 26 [size =\"32093184\"]\n  6 [size=\"29760000\", alpha=\"0.09\", expect_size=\"11904000\"] \n  6 -> 14 [size =\"11904000\"]\n  6 -> 15 [size =\"11904000\"]\n  6 -> 22 [size =\"11904000\"]\n  6 -> 25 [size =\"11904000\"]\n  6 -> 27 [size =\"11904000\"]\n  6 -> 28 [size =\"11904000\"]\n  7 [size=\"52858880\", alpha=\"0.10\", expect_size=\"21143552\"] \n  7 -> 14 [size =\"21143552\"]\n  7 -> 15 [size =\"21143552\"]\n  7 -> 24 [size =\"21143552\"]\n  7 -> 28 [size =\"21143552\"]\n  8 [size=\"60846080\", alpha=\"0.11\", expect_size=\"24338432\"] \n  8 -> 16 [size =\"24338432\"]\n  8 -> 17 [size =\"24338432\"]\n  8 -> 18 [size =\"24338432\"]\n  8 -> 19 [size =\"24338432\"]\n  8 -> 29 [size =\"24338432\"]\n  9 [size=\"41687040\", alpha=\"0.15\", expect_size=\"16674816\"] \n  9 -> 15 [size =\"16674816\"]\n  9 -> 22 [size =\"16674816\"]\n  9 -> 25 [size =\"16674816\"]\n  9 -> 29 [size =\"16674816\"]\n  10 [size=\"127951360\", alpha=\"0.01\", expect_size=\"51180544\"] \n  10 -> 14 [size =\"51180544\"]\n  10 -> 19 [size =\"51180544\"]\n  10 -> 20 [size =\"51180544\"]\n  10 -> 24 [size =\"51180544\"]\n  10 -> 28 [size =\"51180544\"]\n  11 [size=\"55866880\", alpha=\"0.04\", expect_size=\"22346752\"] \n  11 -> 14 [size =\"22346752\"]\n  11 -> 15 [size =\"22346752\"]\n  11 -> 17 [size =\"22346752\"]\n  11 -> 18 [size =\"22346752\"]\n  11 -> 24 [size =\"22346752\"]\n  11 -> 25 [size =\"22346752\"]\n  11 -> 26 [size =\"22346752\"]\n  11 -> 27 [size =\"22346752\"]\n  12 [size=\"22748160\", alpha=\"0.01\", expect_size=\"9099264\"] \n  12 -> 15 [size =\"9099264\"]\n  12 -> 19 [size =\"9099264\"]\n  12 -> 20 [size =\"9099264\"]\n  12 -> 26 [size =\"9099264\"]\n  12 -> 27 [size =\"9099264\"]\n  12 -> 28 [size =\"9099264\"]\n  13 [size=\"103121920\", alpha=\"0.07\", expect_size=\"41248768\"] \n  13 -> 15 [size =\"41248768\"]\n  13 -> 16 [size =\"41248768\"]\n  13 -> 17 [size =\"41248768\"]\n  13 -> 18 [size =\"41248768\"]\n  13 -> 19 [size =\"41248768\"]\n  13 -> 22 [size =\"41248768\"]\n  13 -> 29 [size =\"41248768\"]\n  14 [size=\"125890560\", alpha=\"0.05\", expect_size=\"50356224\"] \n  15 [size=\"51123200\", alpha=\"0.15\", expect_size=\"20449280\"] \n  16 [size=\"34452480\", alpha=\"0.01\", expect_size=\"13780992\"] \n  17 [size=\"88860160\", alpha=\"0.02\", expect_size=\"35544064\"] \n  18 [size=\"27755520\", alpha=\"0.08\", expect_size=\"11102208\"] \n  19 [size=\"92282880\", alpha=\"0.01\", expect_size=\"36913152\"] \n  20 [size=\"63631360\", alpha=\"0.17\", expect_size=\"25452544\"] \n  21 [size=\"68631040\", alpha=\"0.12\", expect_size=\"27452416\"] \n  22 [size=\"94243840\", alpha=\"0.08\", expect_size=\"37697536\"] \n  22 -> 30 [size =\"37697536\"]\n  23 [size=\"99281920\", alpha=\"0.14\", expect_size=\"39712768\"] \n  24 [size=\"20779520\", alpha=\"0.00\", expect_size=\"8311808\"] \n  25 [size=\"48732160\", alpha=\"0.18\", expect_size=\"19492864\"] \n  25 -> 30 [size =\"19492864\"]\n  26 [size=\"17323520\", alpha=\"0.18\", expect_size=\"6929408\"] \n  27 [size=\"24627200\", alpha=\"0.05\", expect_size=\"9850880\"] \n  27 -> 30 [size =\"9850880\"]\n  28 [size=\"33612800\", alpha=\"0.01\", expect_size=\"13445120\"] \n  28 -> 30 [size =\"13445120\"]\n  29 [size=\"82035200\", alpha=\"0.01\", expect_size=\"32814080\"] \n  30 [size=\"89612800\", alpha=\"0.00\", expect_size=\"35845120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91555840\", alpha=\"0.16\", expect_size=\"27466752\"] \n  2 [size=\"80380587\", alpha=\"0.04\", expect_size=\"24114176\"] \n  2 -> 23 [size =\"24114176\"]\n  2 -> 30 [size =\"24114176\"]\n  3 [size=\"25050453\", alpha=\"0.16\", expect_size=\"7515136\"] \n  3 -> 24 [size =\"7515136\"]\n  3 -> 26 [size =\"7515136\"]\n  4 [size=\"107168427\", alpha=\"0.15\", expect_size=\"32150528\"] \n  5 [size=\"59306667\", alpha=\"0.04\", expect_size=\"17792000\"] \n  5 -> 23 [size =\"17792000\"]\n  6 [size=\"128682667\", alpha=\"0.05\", expect_size=\"38604800\"] \n  6 -> 23 [size =\"38604800\"]\n  6 -> 24 [size =\"38604800\"]\n  6 -> 29 [size =\"38604800\"]\n  6 -> 30 [size =\"38604800\"]\n  7 [size=\"146394453\", alpha=\"0.05\", expect_size=\"43918336\"] \n  7 -> 23 [size =\"43918336\"]\n  7 -> 29 [size =\"43918336\"]\n  8 [size=\"43724800\", alpha=\"0.07\", expect_size=\"13117440\"] \n  8 -> 24 [size =\"13117440\"]\n  8 -> 30 [size =\"13117440\"]\n  9 [size=\"100567040\", alpha=\"0.11\", expect_size=\"30170112\"] \n  9 -> 24 [size =\"30170112\"]\n  9 -> 27 [size =\"30170112\"]\n  10 [size=\"128310613\", alpha=\"0.06\", expect_size=\"38493184\"] \n  10 -> 24 [size =\"38493184\"]\n  11 [size=\"118074027\", alpha=\"0.10\", expect_size=\"35422208\"] \n  11 -> 23 [size =\"35422208\"]\n  11 -> 26 [size =\"35422208\"]\n  11 -> 28 [size =\"35422208\"]\n  12 [size=\"88852480\", alpha=\"0.14\", expect_size=\"26655744\"] \n  12 -> 23 [size =\"26655744\"]\n  13 [size=\"119070720\", alpha=\"0.08\", expect_size=\"35721216\"] \n  13 -> 24 [size =\"35721216\"]\n  14 [size=\"84490240\", alpha=\"0.10\", expect_size=\"25347072\"] \n  14 -> 23 [size =\"25347072\"]\n  14 -> 24 [size =\"25347072\"]\n  14 -> 25 [size =\"25347072\"]\n  15 [size=\"48302080\", alpha=\"0.15\", expect_size=\"14490624\"] \n  15 -> 24 [size =\"14490624\"]\n  15 -> 24 [size =\"14490624\"]\n  16 [size=\"78574933\", alpha=\"0.07\", expect_size=\"23572480\"] \n  17 [size=\"117664427\", alpha=\"0.15\", expect_size=\"35299328\"] \n  17 -> 30 [size =\"35299328\"]\n  18 [size=\"158027093\", alpha=\"0.13\", expect_size=\"47408128\"] \n  19 [size=\"52657493\", alpha=\"0.05\", expect_size=\"15797248\"] \n  19 -> 24 [size =\"15797248\"]\n  19 -> 27 [size =\"15797248\"]\n  20 [size=\"138489173\", alpha=\"0.14\", expect_size=\"41546752\"] \n  20 -> 24 [size =\"41546752\"]\n  21 [size=\"27562667\", alpha=\"0.13\", expect_size=\"8268800\"] \n  21 -> 24 [size =\"8268800\"]\n  22 [size=\"103065600\", alpha=\"0.19\", expect_size=\"30919680\"] \n  22 -> 24 [size =\"30919680\"]\n  22 -> 27 [size =\"30919680\"]\n  22 -> 28 [size =\"30919680\"]\n  23 [size=\"59101867\", alpha=\"0.06\", expect_size=\"17730560\"] \n  24 [size=\"121726293\", alpha=\"0.05\", expect_size=\"36517888\"] \n  25 [size=\"39587840\", alpha=\"0.08\", expect_size=\"11876352\"] \n  26 [size=\"160283307\", alpha=\"0.07\", expect_size=\"48084992\"] \n  27 [size=\"58572800\", alpha=\"0.01\", expect_size=\"17571840\"] \n  28 [size=\"22415360\", alpha=\"0.19\", expect_size=\"6724608\"] \n  29 [size=\"124658347\", alpha=\"0.07\", expect_size=\"37397504\"] \n  30 [size=\"167901867\", alpha=\"0.10\", expect_size=\"50370560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71464960\", alpha=\"0.11\", expect_size=\"28585984\"] \n  1 -> 30 [size =\"28585984\"]\n  2 [size=\"91136000\", alpha=\"0.18\", expect_size=\"36454400\"] \n  2 -> 29 [size =\"36454400\"]\n  2 -> 30 [size =\"36454400\"]\n  3 [size=\"47667200\", alpha=\"0.06\", expect_size=\"19066880\"] \n  3 -> 29 [size =\"19066880\"]\n  4 [size=\"74160640\", alpha=\"0.10\", expect_size=\"29664256\"] \n  4 -> 29 [size =\"29664256\"]\n  5 [size=\"113408000\", alpha=\"0.07\", expect_size=\"45363200\"] \n  5 -> 29 [size =\"45363200\"]\n  6 [size=\"117885440\", alpha=\"0.13\", expect_size=\"47154176\"] \n  6 -> 29 [size =\"47154176\"]\n  7 [size=\"84720640\", alpha=\"0.08\", expect_size=\"33888256\"] \n  7 -> 29 [size =\"33888256\"]\n  8 [size=\"39715840\", alpha=\"0.06\", expect_size=\"15886336\"] \n  9 [size=\"127306240\", alpha=\"0.07\", expect_size=\"50922496\"] \n  9 -> 29 [size =\"50922496\"]\n  9 -> 30 [size =\"50922496\"]\n  10 [size=\"58708480\", alpha=\"0.04\", expect_size=\"23483392\"] \n  11 [size=\"71884800\", alpha=\"0.06\", expect_size=\"28753920\"] \n  11 -> 29 [size =\"28753920\"]\n  12 [size=\"17994240\", alpha=\"0.01\", expect_size=\"7197696\"] \n  12 -> 29 [size =\"7197696\"]\n  13 [size=\"126056960\", alpha=\"0.15\", expect_size=\"50422784\"] \n  13 -> 29 [size =\"50422784\"]\n  13 -> 30 [size =\"50422784\"]\n  14 [size=\"44812800\", alpha=\"0.01\", expect_size=\"17925120\"] \n  14 -> 29 [size =\"17925120\"]\n  15 [size=\"104586240\", alpha=\"0.01\", expect_size=\"41834496\"] \n  15 -> 29 [size =\"41834496\"]\n  15 -> 30 [size =\"41834496\"]\n  16 [size=\"29194240\", alpha=\"0.11\", expect_size=\"11677696\"] \n  17 [size=\"106232320\", alpha=\"0.10\", expect_size=\"42492928\"] \n  17 -> 30 [size =\"42492928\"]\n  18 [size=\"37977600\", alpha=\"0.18\", expect_size=\"15191040\"] \n  19 [size=\"72760320\", alpha=\"0.10\", expect_size=\"29104128\"] \n  19 -> 29 [size =\"29104128\"]\n  20 [size=\"113018880\", alpha=\"0.05\", expect_size=\"45207552\"] \n  21 [size=\"19543040\", alpha=\"0.09\", expect_size=\"7817216\"] \n  21 -> 30 [size =\"7817216\"]\n  22 [size=\"53926400\", alpha=\"0.06\", expect_size=\"21570560\"] \n  22 -> 29 [size =\"21570560\"]\n  22 -> 30 [size =\"21570560\"]\n  23 [size=\"61368320\", alpha=\"0.09\", expect_size=\"24547328\"] \n  23 -> 29 [size =\"24547328\"]\n  23 -> 30 [size =\"24547328\"]\n  24 [size=\"29061120\", alpha=\"0.03\", expect_size=\"11624448\"] \n  24 -> 29 [size =\"11624448\"]\n  24 -> 30 [size =\"11624448\"]\n  25 [size=\"35584000\", alpha=\"0.13\", expect_size=\"14233600\"] \n  25 -> 29 [size =\"14233600\"]\n  26 [size=\"40893440\", alpha=\"0.02\", expect_size=\"16357376\"] \n  27 [size=\"108654080\", alpha=\"0.02\", expect_size=\"43461632\"] \n  27 -> 30 [size =\"43461632\"]\n  28 [size=\"52270080\", alpha=\"0.07\", expect_size=\"20908032\"] \n  28 -> 29 [size =\"20908032\"]\n  29 [size=\"39116800\", alpha=\"0.11\", expect_size=\"15646720\"] \n  30 [size=\"101027840\", alpha=\"0.03\", expect_size=\"40411136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58447872\", alpha=\"0.17\", expect_size=\"29223936\"] \n  1 -> 6 [size =\"29223936\"]\n  1 -> 7 [size =\"29223936\"]\n  1 -> 8 [size =\"29223936\"]\n  2 [size=\"41893888\", alpha=\"0.13\", expect_size=\"20946944\"] \n  2 -> 7 [size =\"20946944\"]\n  2 -> 7 [size =\"20946944\"]\n  2 -> 8 [size =\"20946944\"]\n  2 -> 10 [size =\"20946944\"]\n  3 [size=\"21192704\", alpha=\"0.08\", expect_size=\"10596352\"] \n  3 -> 6 [size =\"10596352\"]\n  3 -> 8 [size =\"10596352\"]\n  3 -> 9 [size =\"10596352\"]\n  3 -> 10 [size =\"10596352\"]\n  4 [size=\"32010240\", alpha=\"0.08\", expect_size=\"16005120\"] \n  4 -> 6 [size =\"16005120\"]\n  4 -> 7 [size =\"16005120\"]\n  4 -> 8 [size =\"16005120\"]\n  4 -> 9 [size =\"16005120\"]\n  5 [size=\"55949312\", alpha=\"0.11\", expect_size=\"27974656\"] \n  5 -> 6 [size =\"27974656\"]\n  5 -> 7 [size =\"27974656\"]\n  6 [size=\"41940992\", alpha=\"0.07\", expect_size=\"20970496\"] \n  6 -> 12 [size =\"20970496\"]\n  6 -> 13 [size =\"20970496\"]\n  6 -> 14 [size =\"20970496\"]\n  7 [size=\"82335744\", alpha=\"0.01\", expect_size=\"41167872\"] \n  7 -> 11 [size =\"41167872\"]\n  7 -> 12 [size =\"41167872\"]\n  7 -> 13 [size =\"41167872\"]\n  7 -> 14 [size =\"41167872\"]\n  8 [size=\"61089792\", alpha=\"0.09\", expect_size=\"30544896\"] \n  8 -> 12 [size =\"30544896\"]\n  8 -> 15 [size =\"30544896\"]\n  9 [size=\"21975040\", alpha=\"0.01\", expect_size=\"10987520\"] \n  9 -> 12 [size =\"10987520\"]\n  9 -> 14 [size =\"10987520\"]\n  10 [size=\"43409408\", alpha=\"0.13\", expect_size=\"21704704\"] \n  10 -> 12 [size =\"21704704\"]\n  10 -> 13 [size =\"21704704\"]\n  11 [size=\"43159552\", alpha=\"0.12\", expect_size=\"21579776\"] \n  11 -> 16 [size =\"21579776\"]\n  11 -> 17 [size =\"21579776\"]\n  11 -> 19 [size =\"21579776\"]\n  12 [size=\"27777024\", alpha=\"0.08\", expect_size=\"13888512\"] \n  12 -> 16 [size =\"13888512\"]\n  12 -> 17 [size =\"13888512\"]\n  13 [size=\"87926784\", alpha=\"0.05\", expect_size=\"43963392\"] \n  13 -> 16 [size =\"43963392\"]\n  13 -> 19 [size =\"43963392\"]\n  14 [size=\"32796672\", alpha=\"0.14\", expect_size=\"16398336\"] \n  14 -> 16 [size =\"16398336\"]\n  14 -> 19 [size =\"16398336\"]\n  15 [size=\"72824832\", alpha=\"0.09\", expect_size=\"36412416\"] \n  15 -> 16 [size =\"36412416\"]\n  15 -> 17 [size =\"36412416\"]\n  15 -> 18 [size =\"36412416\"]\n  15 -> 19 [size =\"36412416\"]\n  16 [size=\"31881216\", alpha=\"0.18\", expect_size=\"15940608\"] \n  16 -> 20 [size =\"15940608\"]\n  16 -> 21 [size =\"15940608\"]\n  16 -> 22 [size =\"15940608\"]\n  16 -> 23 [size =\"15940608\"]\n  17 [size=\"63756288\", alpha=\"0.16\", expect_size=\"31878144\"] \n  17 -> 20 [size =\"31878144\"]\n  17 -> 22 [size =\"31878144\"]\n  17 -> 23 [size =\"31878144\"]\n  17 -> 23 [size =\"31878144\"]\n  18 [size=\"67694592\", alpha=\"0.17\", expect_size=\"33847296\"] \n  18 -> 20 [size =\"33847296\"]\n  18 -> 21 [size =\"33847296\"]\n  18 -> 22 [size =\"33847296\"]\n  19 [size=\"16564224\", alpha=\"0.16\", expect_size=\"8282112\"] \n  19 -> 20 [size =\"8282112\"]\n  19 -> 21 [size =\"8282112\"]\n  19 -> 22 [size =\"8282112\"]\n  20 [size=\"22339584\", alpha=\"0.04\", expect_size=\"11169792\"] \n  20 -> 26 [size =\"11169792\"]\n  20 -> 27 [size =\"11169792\"]\n  21 [size=\"85352448\", alpha=\"0.01\", expect_size=\"42676224\"] \n  21 -> 25 [size =\"42676224\"]\n  21 -> 26 [size =\"42676224\"]\n  21 -> 27 [size =\"42676224\"]\n  22 [size=\"45295616\", alpha=\"0.06\", expect_size=\"22647808\"] \n  22 -> 24 [size =\"22647808\"]\n  22 -> 25 [size =\"22647808\"]\n  22 -> 26 [size =\"22647808\"]\n  22 -> 27 [size =\"22647808\"]\n  22 -> 28 [size =\"22647808\"]\n  23 [size=\"85059584\", alpha=\"0.12\", expect_size=\"42529792\"] \n  23 -> 25 [size =\"42529792\"]\n  23 -> 27 [size =\"42529792\"]\n  23 -> 28 [size =\"42529792\"]\n  24 [size=\"15214592\", alpha=\"0.03\", expect_size=\"7607296\"] \n  24 -> 30 [size =\"7607296\"]\n  25 [size=\"79618048\", alpha=\"0.04\", expect_size=\"39809024\"] \n  25 -> 30 [size =\"39809024\"]\n  26 [size=\"26849280\", alpha=\"0.12\", expect_size=\"13424640\"] \n  27 [size=\"18937856\", alpha=\"0.14\", expect_size=\"9468928\"] \n  27 -> 29 [size =\"9468928\"]\n  27 -> 30 [size =\"9468928\"]\n  28 [size=\"95598592\", alpha=\"0.08\", expect_size=\"47799296\"] \n  28 -> 30 [size =\"47799296\"]\n  28 -> 30 [size =\"47799296\"]\n  29 [size=\"80156672\", alpha=\"0.04\", expect_size=\"40078336\"] \n  30 [size=\"61259776\", alpha=\"0.06\", expect_size=\"30629888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49884160\", alpha=\"0.08\", expect_size=\"19953664\"] \n  1 -> 3 [size =\"19953664\"]\n  2 [size=\"33868800\", alpha=\"0.14\", expect_size=\"13547520\"] \n  3 [size=\"48337920\", alpha=\"0.06\", expect_size=\"19335168\"] \n  3 -> 4 [size =\"19335168\"]\n  3 -> 5 [size =\"19335168\"]\n  4 [size=\"64399360\", alpha=\"0.13\", expect_size=\"25759744\"] \n  4 -> 6 [size =\"25759744\"]\n  5 [size=\"94835200\", alpha=\"0.18\", expect_size=\"37934080\"] \n  6 [size=\"60490240\", alpha=\"0.04\", expect_size=\"24196096\"] \n  6 -> 7 [size =\"24196096\"]\n  7 [size=\"66263040\", alpha=\"0.06\", expect_size=\"26505216\"] \n  7 -> 8 [size =\"26505216\"]\n  8 [size=\"127587840\", alpha=\"0.03\", expect_size=\"51035136\"] \n  8 -> 9 [size =\"51035136\"]\n  8 -> 10 [size =\"51035136\"]\n  9 [size=\"29793280\", alpha=\"0.18\", expect_size=\"11917312\"] \n  9 -> 11 [size =\"11917312\"]\n  10 [size=\"126947840\", alpha=\"0.10\", expect_size=\"50779136\"] \n  11 [size=\"121456640\", alpha=\"0.16\", expect_size=\"48582656\"] \n  11 -> 12 [size =\"48582656\"]\n  11 -> 13 [size =\"48582656\"]\n  12 [size=\"51402240\", alpha=\"0.11\", expect_size=\"20560896\"] \n  12 -> 14 [size =\"20560896\"]\n  13 [size=\"18542080\", alpha=\"0.05\", expect_size=\"7416832\"] \n  13 -> 15 [size =\"7416832\"]\n  14 [size=\"56355840\", alpha=\"0.10\", expect_size=\"22542336\"] \n  15 [size=\"15984640\", alpha=\"0.10\", expect_size=\"6393856\"] \n  15 -> 16 [size =\"6393856\"]\n  15 -> 17 [size =\"6393856\"]\n  16 [size=\"125063680\", alpha=\"0.18\", expect_size=\"50025472\"] \n  17 [size=\"31559680\", alpha=\"0.00\", expect_size=\"12623872\"] \n  17 -> 18 [size =\"12623872\"]\n  18 [size=\"67850240\", alpha=\"0.13\", expect_size=\"27140096\"] \n  18 -> 19 [size =\"27140096\"]\n  18 -> 20 [size =\"27140096\"]\n  19 [size=\"86924800\", alpha=\"0.04\", expect_size=\"34769920\"] \n  19 -> 21 [size =\"34769920\"]\n  20 [size=\"72939520\", alpha=\"0.12\", expect_size=\"29175808\"] \n  20 -> 22 [size =\"29175808\"]\n  21 [size=\"129082880\", alpha=\"0.07\", expect_size=\"51633152\"] \n  21 -> 23 [size =\"51633152\"]\n  22 [size=\"103723520\", alpha=\"0.04\", expect_size=\"41489408\"] \n  22 -> 24 [size =\"41489408\"]\n  23 [size=\"48066560\", alpha=\"0.08\", expect_size=\"19226624\"] \n  23 -> 25 [size =\"19226624\"]\n  24 [size=\"77908480\", alpha=\"0.01\", expect_size=\"31163392\"] \n  24 -> 26 [size =\"31163392\"]\n  25 [size=\"16535040\", alpha=\"0.07\", expect_size=\"6614016\"] \n  26 [size=\"76615680\", alpha=\"0.01\", expect_size=\"30646272\"] \n  26 -> 27 [size =\"30646272\"]\n  26 -> 28 [size =\"30646272\"]\n  27 [size=\"65640960\", alpha=\"0.05\", expect_size=\"26256384\"] \n  28 [size=\"68551680\", alpha=\"0.07\", expect_size=\"27420672\"] \n  28 -> 29 [size =\"27420672\"]\n  28 -> 30 [size =\"27420672\"]\n  29 [size=\"27207680\", alpha=\"0.13\", expect_size=\"10883072\"] \n  30 [size=\"52592640\", alpha=\"0.18\", expect_size=\"21037056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86727680\", alpha=\"0.15\", expect_size=\"34691072\"] \n  2 [size=\"88409600\", alpha=\"0.15\", expect_size=\"35363840\"] \n  2 -> 3 [size =\"35363840\"]\n  3 [size=\"92239360\", alpha=\"0.06\", expect_size=\"36895744\"] \n  3 -> 4 [size =\"36895744\"]\n  4 [size=\"59893760\", alpha=\"0.18\", expect_size=\"23957504\"] \n  4 -> 5 [size =\"23957504\"]\n  5 [size=\"120819200\", alpha=\"0.04\", expect_size=\"48327680\"] \n  5 -> 6 [size =\"48327680\"]\n  5 -> 7 [size =\"48327680\"]\n  6 [size=\"121338880\", alpha=\"0.04\", expect_size=\"48535552\"] \n  6 -> 8 [size =\"48535552\"]\n  6 -> 9 [size =\"48535552\"]\n  7 [size=\"113973760\", alpha=\"0.07\", expect_size=\"45589504\"] \n  7 -> 8 [size =\"45589504\"]\n  7 -> 9 [size =\"45589504\"]\n  8 [size=\"16176640\", alpha=\"0.16\", expect_size=\"6470656\"] \n  8 -> 10 [size =\"6470656\"]\n  9 [size=\"103104000\", alpha=\"0.12\", expect_size=\"41241600\"] \n  9 -> 11 [size =\"41241600\"]\n  10 [size=\"73315840\", alpha=\"0.12\", expect_size=\"29326336\"] \n  10 -> 12 [size =\"29326336\"]\n  10 -> 13 [size =\"29326336\"]\n  11 [size=\"36623360\", alpha=\"0.13\", expect_size=\"14649344\"] \n  11 -> 12 [size =\"14649344\"]\n  12 [size=\"127874560\", alpha=\"0.12\", expect_size=\"51149824\"] \n  12 -> 14 [size =\"51149824\"]\n  13 [size=\"97784320\", alpha=\"0.06\", expect_size=\"39113728\"] \n  13 -> 14 [size =\"39113728\"]\n  14 [size=\"16442880\", alpha=\"0.02\", expect_size=\"6577152\"] \n  14 -> 15 [size =\"6577152\"]\n  15 [size=\"123399680\", alpha=\"0.19\", expect_size=\"49359872\"] \n  15 -> 16 [size =\"49359872\"]\n  16 [size=\"31078400\", alpha=\"0.09\", expect_size=\"12431360\"] \n  16 -> 17 [size =\"12431360\"]\n  17 [size=\"55137280\", alpha=\"0.13\", expect_size=\"22054912\"] \n  17 -> 18 [size =\"22054912\"]\n  17 -> 19 [size =\"22054912\"]\n  18 [size=\"94074880\", alpha=\"0.04\", expect_size=\"37629952\"] \n  18 -> 20 [size =\"37629952\"]\n  18 -> 21 [size =\"37629952\"]\n  19 [size=\"72760320\", alpha=\"0.12\", expect_size=\"29104128\"] \n  19 -> 20 [size =\"29104128\"]\n  19 -> 21 [size =\"29104128\"]\n  20 [size=\"27888640\", alpha=\"0.18\", expect_size=\"11155456\"] \n  20 -> 22 [size =\"11155456\"]\n  20 -> 23 [size =\"11155456\"]\n  21 [size=\"97948160\", alpha=\"0.17\", expect_size=\"39179264\"] \n  21 -> 22 [size =\"39179264\"]\n  21 -> 23 [size =\"39179264\"]\n  22 [size=\"54978560\", alpha=\"0.09\", expect_size=\"21991424\"] \n  22 -> 25 [size =\"21991424\"]\n  23 [size=\"124423680\", alpha=\"0.15\", expect_size=\"49769472\"] \n  23 -> 24 [size =\"49769472\"]\n  24 [size=\"43750400\", alpha=\"0.08\", expect_size=\"17500160\"] \n  24 -> 26 [size =\"17500160\"]\n  24 -> 27 [size =\"17500160\"]\n  25 [size=\"53959680\", alpha=\"0.19\", expect_size=\"21583872\"] \n  25 -> 26 [size =\"21583872\"]\n  25 -> 27 [size =\"21583872\"]\n  26 [size=\"47720960\", alpha=\"0.09\", expect_size=\"19088384\"] \n  26 -> 28 [size =\"19088384\"]\n  26 -> 29 [size =\"19088384\"]\n  27 [size=\"101396480\", alpha=\"0.16\", expect_size=\"40558592\"] \n  27 -> 28 [size =\"40558592\"]\n  27 -> 29 [size =\"40558592\"]\n  28 [size=\"60001280\", alpha=\"0.03\", expect_size=\"24000512\"] \n  28 -> 30 [size =\"24000512\"]\n  29 [size=\"84915200\", alpha=\"0.06\", expect_size=\"33966080\"] \n  30 [size=\"36618240\", alpha=\"0.19\", expect_size=\"14647296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36939093\", alpha=\"0.16\", expect_size=\"11081728\"] \n  1 -> 2 [size =\"11081728\"]\n  2 [size=\"101819733\", alpha=\"0.16\", expect_size=\"30545920\"] \n  2 -> 3 [size =\"30545920\"]\n  3 [size=\"168492373\", alpha=\"0.11\", expect_size=\"50547712\"] \n  3 -> 4 [size =\"50547712\"]\n  4 [size=\"126313813\", alpha=\"0.09\", expect_size=\"37894144\"] \n  4 -> 5 [size =\"37894144\"]\n  5 [size=\"95887360\", alpha=\"0.17\", expect_size=\"28766208\"] \n  5 -> 6 [size =\"28766208\"]\n  6 [size=\"139236693\", alpha=\"0.13\", expect_size=\"41771008\"] \n  6 -> 7 [size =\"41771008\"]\n  7 [size=\"59531947\", alpha=\"0.12\", expect_size=\"17859584\"] \n  7 -> 8 [size =\"17859584\"]\n  8 [size=\"165686613\", alpha=\"0.03\", expect_size=\"49705984\"] \n  8 -> 9 [size =\"49705984\"]\n  9 [size=\"36891307\", alpha=\"0.05\", expect_size=\"11067392\"] \n  9 -> 10 [size =\"11067392\"]\n  10 [size=\"57340587\", alpha=\"0.06\", expect_size=\"17202176\"] \n  10 -> 11 [size =\"17202176\"]\n  11 [size=\"38116693\", alpha=\"0.02\", expect_size=\"11435008\"] \n  11 -> 12 [size =\"11435008\"]\n  12 [size=\"162389333\", alpha=\"0.01\", expect_size=\"48716800\"] \n  12 -> 13 [size =\"48716800\"]\n  13 [size=\"131065173\", alpha=\"0.03\", expect_size=\"39319552\"] \n  13 -> 14 [size =\"39319552\"]\n  14 [size=\"63685973\", alpha=\"0.12\", expect_size=\"19105792\"] \n  14 -> 15 [size =\"19105792\"]\n  15 [size=\"134819840\", alpha=\"0.01\", expect_size=\"40445952\"] \n  15 -> 16 [size =\"40445952\"]\n  16 [size=\"113708373\", alpha=\"0.04\", expect_size=\"34112512\"] \n  16 -> 17 [size =\"34112512\"]\n  17 [size=\"61962240\", alpha=\"0.08\", expect_size=\"18588672\"] \n  17 -> 18 [size =\"18588672\"]\n  18 [size=\"157754027\", alpha=\"0.19\", expect_size=\"47326208\"] \n  18 -> 19 [size =\"47326208\"]\n  19 [size=\"22766933\", alpha=\"0.14\", expect_size=\"6830080\"] \n  19 -> 20 [size =\"6830080\"]\n  20 [size=\"63385600\", alpha=\"0.13\", expect_size=\"19015680\"] \n  20 -> 21 [size =\"19015680\"]\n  21 [size=\"114493440\", alpha=\"0.15\", expect_size=\"34348032\"] \n  21 -> 22 [size =\"34348032\"]\n  22 [size=\"133751467\", alpha=\"0.07\", expect_size=\"40125440\"] \n  22 -> 23 [size =\"40125440\"]\n  23 [size=\"143455573\", alpha=\"0.19\", expect_size=\"43036672\"] \n  23 -> 24 [size =\"43036672\"]\n  24 [size=\"168181760\", alpha=\"0.04\", expect_size=\"50454528\"] \n  24 -> 25 [size =\"50454528\"]\n  25 [size=\"103543467\", alpha=\"0.19\", expect_size=\"31063040\"] \n  25 -> 26 [size =\"31063040\"]\n  26 [size=\"112285013\", alpha=\"0.10\", expect_size=\"33685504\"] \n  26 -> 27 [size =\"33685504\"]\n  27 [size=\"141096960\", alpha=\"0.06\", expect_size=\"42329088\"] \n  27 -> 28 [size =\"42329088\"]\n  28 [size=\"43475627\", alpha=\"0.01\", expect_size=\"13042688\"] \n  28 -> 29 [size =\"13042688\"]\n  29 [size=\"35498667\", alpha=\"0.18\", expect_size=\"10649600\"] \n  29 -> 30 [size =\"10649600\"]\n  30 [size=\"147691520\", alpha=\"0.01\", expect_size=\"44307456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94072832\", alpha=\"0.18\", expect_size=\"47036416\"] \n  1 -> 12 [size =\"47036416\"]\n  1 -> 15 [size =\"47036416\"]\n  1 -> 17 [size =\"47036416\"]\n  2 [size=\"92499968\", alpha=\"0.10\", expect_size=\"46249984\"] \n  2 -> 10 [size =\"46249984\"]\n  2 -> 13 [size =\"46249984\"]\n  2 -> 15 [size =\"46249984\"]\n  2 -> 17 [size =\"46249984\"]\n  2 -> 20 [size =\"46249984\"]\n  3 [size=\"96294912\", alpha=\"0.07\", expect_size=\"48147456\"] \n  3 -> 13 [size =\"48147456\"]\n  3 -> 14 [size =\"48147456\"]\n  3 -> 17 [size =\"48147456\"]\n  3 -> 20 [size =\"48147456\"]\n  4 [size=\"60354560\", alpha=\"0.12\", expect_size=\"30177280\"] \n  4 -> 10 [size =\"30177280\"]\n  4 -> 13 [size =\"30177280\"]\n  4 -> 19 [size =\"30177280\"]\n  5 [size=\"74829824\", alpha=\"0.09\", expect_size=\"37414912\"] \n  5 -> 10 [size =\"37414912\"]\n  5 -> 11 [size =\"37414912\"]\n  5 -> 14 [size =\"37414912\"]\n  5 -> 15 [size =\"37414912\"]\n  5 -> 16 [size =\"37414912\"]\n  6 [size=\"36663296\", alpha=\"0.20\", expect_size=\"18331648\"] \n  6 -> 11 [size =\"18331648\"]\n  6 -> 12 [size =\"18331648\"]\n  6 -> 15 [size =\"18331648\"]\n  6 -> 16 [size =\"18331648\"]\n  6 -> 17 [size =\"18331648\"]\n  6 -> 20 [size =\"18331648\"]\n  7 [size=\"53587968\", alpha=\"0.03\", expect_size=\"26793984\"] \n  7 -> 12 [size =\"26793984\"]\n  7 -> 16 [size =\"26793984\"]\n  7 -> 19 [size =\"26793984\"]\n  7 -> 21 [size =\"26793984\"]\n  8 [size=\"66781184\", alpha=\"0.02\", expect_size=\"33390592\"] \n  8 -> 10 [size =\"33390592\"]\n  8 -> 18 [size =\"33390592\"]\n  9 [size=\"36608000\", alpha=\"0.08\", expect_size=\"18304000\"] \n  9 -> 10 [size =\"18304000\"]\n  9 -> 14 [size =\"18304000\"]\n  9 -> 18 [size =\"18304000\"]\n  9 -> 21 [size =\"18304000\"]\n  10 [size=\"79235072\", alpha=\"0.08\", expect_size=\"39617536\"] \n  10 -> 24 [size =\"39617536\"]\n  11 [size=\"59115520\", alpha=\"0.05\", expect_size=\"29557760\"] \n  11 -> 26 [size =\"29557760\"]\n  12 [size=\"48162816\", alpha=\"0.12\", expect_size=\"24081408\"] \n  12 -> 22 [size =\"24081408\"]\n  12 -> 24 [size =\"24081408\"]\n  13 [size=\"96507904\", alpha=\"0.15\", expect_size=\"48253952\"] \n  13 -> 22 [size =\"48253952\"]\n  13 -> 23 [size =\"48253952\"]\n  13 -> 25 [size =\"48253952\"]\n  14 [size=\"34715648\", alpha=\"0.11\", expect_size=\"17357824\"] \n  14 -> 22 [size =\"17357824\"]\n  14 -> 25 [size =\"17357824\"]\n  15 [size=\"90359808\", alpha=\"0.01\", expect_size=\"45179904\"] \n  15 -> 22 [size =\"45179904\"]\n  15 -> 25 [size =\"45179904\"]\n  16 [size=\"39985152\", alpha=\"0.18\", expect_size=\"19992576\"] \n  16 -> 24 [size =\"19992576\"]\n  17 [size=\"39577600\", alpha=\"0.07\", expect_size=\"19788800\"] \n  17 -> 22 [size =\"19788800\"]\n  18 [size=\"55570432\", alpha=\"0.08\", expect_size=\"27785216\"] \n  18 -> 24 [size =\"27785216\"]\n  19 [size=\"64980992\", alpha=\"0.09\", expect_size=\"32490496\"] \n  19 -> 24 [size =\"32490496\"]\n  19 -> 25 [size =\"32490496\"]\n  20 [size=\"100769792\", alpha=\"0.05\", expect_size=\"50384896\"] \n  20 -> 23 [size =\"50384896\"]\n  21 [size=\"44324864\", alpha=\"0.18\", expect_size=\"22162432\"] \n  21 -> 22 [size =\"22162432\"]\n  21 -> 24 [size =\"22162432\"]\n  22 [size=\"70121472\", alpha=\"0.09\", expect_size=\"35060736\"] \n  23 [size=\"34584576\", alpha=\"0.17\", expect_size=\"17292288\"] \n  23 -> 27 [size =\"17292288\"]\n  23 -> 28 [size =\"17292288\"]\n  23 -> 29 [size =\"17292288\"]\n  24 [size=\"12191744\", alpha=\"0.17\", expect_size=\"6095872\"] \n  25 [size=\"62435328\", alpha=\"0.10\", expect_size=\"31217664\"] \n  26 [size=\"68804608\", alpha=\"0.09\", expect_size=\"34402304\"] \n  26 -> 29 [size =\"34402304\"]\n  26 -> 30 [size =\"34402304\"]\n  27 [size=\"59680768\", alpha=\"0.16\", expect_size=\"29840384\"] \n  28 [size=\"92368896\", alpha=\"0.16\", expect_size=\"46184448\"] \n  29 [size=\"37609472\", alpha=\"0.01\", expect_size=\"18804736\"] \n  30 [size=\"80451584\", alpha=\"0.01\", expect_size=\"40225792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67704320\", alpha=\"0.04\", expect_size=\"27081728\"] \n  1 -> 6 [size =\"27081728\"]\n  1 -> 8 [size =\"27081728\"]\n  2 [size=\"123115520\", alpha=\"0.03\", expect_size=\"49246208\"] \n  2 -> 6 [size =\"49246208\"]\n  2 -> 7 [size =\"49246208\"]\n  2 -> 8 [size =\"49246208\"]\n  3 [size=\"29273600\", alpha=\"0.10\", expect_size=\"11709440\"] \n  3 -> 8 [size =\"11709440\"]\n  4 [size=\"78097920\", alpha=\"0.07\", expect_size=\"31239168\"] \n  4 -> 6 [size =\"31239168\"]\n  4 -> 7 [size =\"31239168\"]\n  4 -> 10 [size =\"31239168\"]\n  5 [size=\"84825600\", alpha=\"0.12\", expect_size=\"33930240\"] \n  5 -> 6 [size =\"33930240\"]\n  5 -> 7 [size =\"33930240\"]\n  5 -> 9 [size =\"33930240\"]\n  5 -> 10 [size =\"33930240\"]\n  6 [size=\"56801280\", alpha=\"0.13\", expect_size=\"22720512\"] \n  7 [size=\"79697920\", alpha=\"0.10\", expect_size=\"31879168\"] \n  8 [size=\"68871680\", alpha=\"0.12\", expect_size=\"27548672\"] \n  8 -> 11 [size =\"27548672\"]\n  8 -> 12 [size =\"27548672\"]\n  9 [size=\"29964800\", alpha=\"0.15\", expect_size=\"11985920\"] \n  9 -> 11 [size =\"11985920\"]\n  10 [size=\"21596160\", alpha=\"0.11\", expect_size=\"8638464\"] \n  10 -> 12 [size =\"8638464\"]\n  10 -> 13 [size =\"8638464\"]\n  11 [size=\"93363200\", alpha=\"0.11\", expect_size=\"37345280\"] \n  11 -> 14 [size =\"37345280\"]\n  11 -> 15 [size =\"37345280\"]\n  11 -> 17 [size =\"37345280\"]\n  11 -> 18 [size =\"37345280\"]\n  11 -> 19 [size =\"37345280\"]\n  12 [size=\"115128320\", alpha=\"0.10\", expect_size=\"46051328\"] \n  12 -> 15 [size =\"46051328\"]\n  12 -> 17 [size =\"46051328\"]\n  12 -> 19 [size =\"46051328\"]\n  13 [size=\"15011840\", alpha=\"0.15\", expect_size=\"6004736\"] \n  13 -> 14 [size =\"6004736\"]\n  13 -> 15 [size =\"6004736\"]\n  13 -> 16 [size =\"6004736\"]\n  14 [size=\"75535360\", alpha=\"0.17\", expect_size=\"30214144\"] \n  14 -> 21 [size =\"30214144\"]\n  15 [size=\"117736960\", alpha=\"0.06\", expect_size=\"47094784\"] \n  15 -> 20 [size =\"47094784\"]\n  15 -> 22 [size =\"47094784\"]\n  15 -> 23 [size =\"47094784\"]\n  16 [size=\"71782400\", alpha=\"0.10\", expect_size=\"28712960\"] \n  16 -> 20 [size =\"28712960\"]\n  16 -> 22 [size =\"28712960\"]\n  17 [size=\"28884480\", alpha=\"0.10\", expect_size=\"11553792\"] \n  17 -> 20 [size =\"11553792\"]\n  17 -> 22 [size =\"11553792\"]\n  17 -> 23 [size =\"11553792\"]\n  18 [size=\"87879680\", alpha=\"0.04\", expect_size=\"35151872\"] \n  18 -> 20 [size =\"35151872\"]\n  18 -> 21 [size =\"35151872\"]\n  18 -> 22 [size =\"35151872\"]\n  19 [size=\"43379200\", alpha=\"0.09\", expect_size=\"17351680\"] \n  19 -> 20 [size =\"17351680\"]\n  19 -> 21 [size =\"17351680\"]\n  20 [size=\"14261760\", alpha=\"0.19\", expect_size=\"5704704\"] \n  20 -> 28 [size =\"5704704\"]\n  21 [size=\"81423360\", alpha=\"0.18\", expect_size=\"32569344\"] \n  21 -> 25 [size =\"32569344\"]\n  21 -> 26 [size =\"32569344\"]\n  22 [size=\"26465280\", alpha=\"0.16\", expect_size=\"10586112\"] \n  22 -> 24 [size =\"10586112\"]\n  22 -> 25 [size =\"10586112\"]\n  22 -> 26 [size =\"10586112\"]\n  22 -> 27 [size =\"10586112\"]\n  23 [size=\"85649920\", alpha=\"0.17\", expect_size=\"34259968\"] \n  23 -> 24 [size =\"34259968\"]\n  23 -> 27 [size =\"34259968\"]\n  24 [size=\"57364480\", alpha=\"0.09\", expect_size=\"22945792\"] \n  24 -> 29 [size =\"22945792\"]\n  25 [size=\"37378560\", alpha=\"0.13\", expect_size=\"14951424\"] \n  25 -> 29 [size =\"14951424\"]\n  26 [size=\"75043840\", alpha=\"0.04\", expect_size=\"30017536\"] \n  27 [size=\"17768960\", alpha=\"0.07\", expect_size=\"7107584\"] \n  27 -> 29 [size =\"7107584\"]\n  28 [size=\"79016960\", alpha=\"0.19\", expect_size=\"31606784\"] \n  28 -> 30 [size =\"31606784\"]\n  29 [size=\"102054400\", alpha=\"0.14\", expect_size=\"40821760\"] \n  30 [size=\"36538880\", alpha=\"0.10\", expect_size=\"14615552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106547200\", alpha=\"0.15\", expect_size=\"31964160\"] \n  1 -> 13 [size =\"31964160\"]\n  1 -> 16 [size =\"31964160\"]\n  1 -> 23 [size =\"31964160\"]\n  2 [size=\"68915200\", alpha=\"0.11\", expect_size=\"20674560\"] \n  2 -> 15 [size =\"20674560\"]\n  2 -> 21 [size =\"20674560\"]\n  2 -> 22 [size =\"20674560\"]\n  3 [size=\"72526507\", alpha=\"0.06\", expect_size=\"21757952\"] \n  3 -> 15 [size =\"21757952\"]\n  3 -> 16 [size =\"21757952\"]\n  3 -> 21 [size =\"21757952\"]\n  3 -> 22 [size =\"21757952\"]\n  4 [size=\"88183467\", alpha=\"0.15\", expect_size=\"26455040\"] \n  4 -> 16 [size =\"26455040\"]\n  4 -> 19 [size =\"26455040\"]\n  4 -> 20 [size =\"26455040\"]\n  4 -> 21 [size =\"26455040\"]\n  4 -> 22 [size =\"26455040\"]\n  4 -> 23 [size =\"26455040\"]\n  5 [size=\"84695040\", alpha=\"0.02\", expect_size=\"25408512\"] \n  5 -> 14 [size =\"25408512\"]\n  5 -> 16 [size =\"25408512\"]\n  5 -> 17 [size =\"25408512\"]\n  5 -> 19 [size =\"25408512\"]\n  5 -> 22 [size =\"25408512\"]\n  5 -> 24 [size =\"25408512\"]\n  6 [size=\"133655893\", alpha=\"0.03\", expect_size=\"40096768\"] \n  6 -> 13 [size =\"40096768\"]\n  6 -> 17 [size =\"40096768\"]\n  7 [size=\"129566720\", alpha=\"0.09\", expect_size=\"38870016\"] \n  7 -> 24 [size =\"38870016\"]\n  8 [size=\"110032213\", alpha=\"0.08\", expect_size=\"33009664\"] \n  8 -> 13 [size =\"33009664\"]\n  8 -> 17 [size =\"33009664\"]\n  8 -> 18 [size =\"33009664\"]\n  8 -> 24 [size =\"33009664\"]\n  9 [size=\"156364800\", alpha=\"0.06\", expect_size=\"46909440\"] \n  9 -> 24 [size =\"46909440\"]\n  10 [size=\"71813120\", alpha=\"0.04\", expect_size=\"21543936\"] \n  10 -> 16 [size =\"21543936\"]\n  10 -> 18 [size =\"21543936\"]\n  10 -> 24 [size =\"21543936\"]\n  11 [size=\"108642987\", alpha=\"0.16\", expect_size=\"32592896\"] \n  11 -> 13 [size =\"32592896\"]\n  11 -> 15 [size =\"32592896\"]\n  11 -> 18 [size =\"32592896\"]\n  11 -> 19 [size =\"32592896\"]\n  11 -> 23 [size =\"32592896\"]\n  11 -> 24 [size =\"32592896\"]\n  12 [size=\"70246400\", alpha=\"0.17\", expect_size=\"21073920\"] \n  12 -> 19 [size =\"21073920\"]\n  12 -> 21 [size =\"21073920\"]\n  12 -> 22 [size =\"21073920\"]\n  12 -> 23 [size =\"21073920\"]\n  12 -> 24 [size =\"21073920\"]\n  12 -> 24 [size =\"21073920\"]\n  13 [size=\"160440320\", alpha=\"0.06\", expect_size=\"48132096\"] \n  13 -> 25 [size =\"48132096\"]\n  13 -> 28 [size =\"48132096\"]\n  14 [size=\"48537600\", alpha=\"0.11\", expect_size=\"14561280\"] \n  14 -> 27 [size =\"14561280\"]\n  14 -> 29 [size =\"14561280\"]\n  14 -> 30 [size =\"14561280\"]\n  15 [size=\"164628480\", alpha=\"0.09\", expect_size=\"49388544\"] \n  15 -> 26 [size =\"49388544\"]\n  15 -> 28 [size =\"49388544\"]\n  15 -> 29 [size =\"49388544\"]\n  15 -> 30 [size =\"49388544\"]\n  16 [size=\"22196907\", alpha=\"0.17\", expect_size=\"6659072\"] \n  16 -> 29 [size =\"6659072\"]\n  17 [size=\"42304853\", alpha=\"0.13\", expect_size=\"12691456\"] \n  17 -> 28 [size =\"12691456\"]\n  17 -> 29 [size =\"12691456\"]\n  18 [size=\"109994667\", alpha=\"0.03\", expect_size=\"32998400\"] \n  18 -> 29 [size =\"32998400\"]\n  18 -> 29 [size =\"32998400\"]\n  19 [size=\"18053120\", alpha=\"0.16\", expect_size=\"5415936\"] \n  19 -> 26 [size =\"5415936\"]\n  19 -> 28 [size =\"5415936\"]\n  19 -> 30 [size =\"5415936\"]\n  20 [size=\"64092160\", alpha=\"0.06\", expect_size=\"19227648\"] \n  20 -> 28 [size =\"19227648\"]\n  21 [size=\"93866667\", alpha=\"0.08\", expect_size=\"28160000\"] \n  21 -> 28 [size =\"28160000\"]\n  22 [size=\"64133120\", alpha=\"0.17\", expect_size=\"19239936\"] \n  22 -> 26 [size =\"19239936\"]\n  23 [size=\"42059093\", alpha=\"0.12\", expect_size=\"12617728\"] \n  23 -> 26 [size =\"12617728\"]\n  23 -> 28 [size =\"12617728\"]\n  24 [size=\"90200747\", alpha=\"0.16\", expect_size=\"27060224\"] \n  24 -> 25 [size =\"27060224\"]\n  24 -> 27 [size =\"27060224\"]\n  24 -> 30 [size =\"27060224\"]\n  25 [size=\"17940480\", alpha=\"0.09\", expect_size=\"5382144\"] \n  26 [size=\"88309760\", alpha=\"0.17\", expect_size=\"26492928\"] \n  27 [size=\"67908267\", alpha=\"0.19\", expect_size=\"20372480\"] \n  28 [size=\"167932587\", alpha=\"0.13\", expect_size=\"50379776\"] \n  29 [size=\"33727147\", alpha=\"0.04\", expect_size=\"10118144\"] \n  30 [size=\"157992960\", alpha=\"0.03\", expect_size=\"47397888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53114880\", alpha=\"0.10\", expect_size=\"21245952\"] \n  1 -> 24 [size =\"21245952\"]\n  1 -> 30 [size =\"21245952\"]\n  2 [size=\"95331840\", alpha=\"0.13\", expect_size=\"38132736\"] \n  2 -> 24 [size =\"38132736\"]\n  2 -> 25 [size =\"38132736\"]\n  2 -> 26 [size =\"38132736\"]\n  2 -> 29 [size =\"38132736\"]\n  3 [size=\"34772480\", alpha=\"0.09\", expect_size=\"13908992\"] \n  3 -> 24 [size =\"13908992\"]\n  3 -> 25 [size =\"13908992\"]\n  3 -> 26 [size =\"13908992\"]\n  3 -> 29 [size =\"13908992\"]\n  3 -> 30 [size =\"13908992\"]\n  4 [size=\"26232320\", alpha=\"0.17\", expect_size=\"10492928\"] \n  4 -> 25 [size =\"10492928\"]\n  4 -> 28 [size =\"10492928\"]\n  4 -> 29 [size =\"10492928\"]\n  4 -> 30 [size =\"10492928\"]\n  5 [size=\"98032640\", alpha=\"0.05\", expect_size=\"39213056\"] \n  5 -> 24 [size =\"39213056\"]\n  5 -> 29 [size =\"39213056\"]\n  6 [size=\"86389760\", alpha=\"0.05\", expect_size=\"34555904\"] \n  6 -> 25 [size =\"34555904\"]\n  6 -> 27 [size =\"34555904\"]\n  6 -> 28 [size =\"34555904\"]\n  6 -> 29 [size =\"34555904\"]\n  6 -> 30 [size =\"34555904\"]\n  7 [size=\"45012480\", alpha=\"0.14\", expect_size=\"18004992\"] \n  7 -> 24 [size =\"18004992\"]\n  7 -> 25 [size =\"18004992\"]\n  7 -> 28 [size =\"18004992\"]\n  7 -> 29 [size =\"18004992\"]\n  7 -> 30 [size =\"18004992\"]\n  8 [size=\"92160000\", alpha=\"0.10\", expect_size=\"36864000\"] \n  8 -> 24 [size =\"36864000\"]\n  8 -> 25 [size =\"36864000\"]\n  8 -> 26 [size =\"36864000\"]\n  8 -> 28 [size =\"36864000\"]\n  8 -> 29 [size =\"36864000\"]\n  8 -> 30 [size =\"36864000\"]\n  9 [size=\"52298240\", alpha=\"0.07\", expect_size=\"20919296\"] \n  9 -> 24 [size =\"20919296\"]\n  9 -> 25 [size =\"20919296\"]\n  9 -> 28 [size =\"20919296\"]\n  9 -> 29 [size =\"20919296\"]\n  10 [size=\"62343680\", alpha=\"0.19\", expect_size=\"24937472\"] \n  10 -> 24 [size =\"24937472\"]\n  10 -> 25 [size =\"24937472\"]\n  10 -> 30 [size =\"24937472\"]\n  11 [size=\"88611840\", alpha=\"0.13\", expect_size=\"35444736\"] \n  11 -> 24 [size =\"35444736\"]\n  11 -> 25 [size =\"35444736\"]\n  11 -> 26 [size =\"35444736\"]\n  11 -> 29 [size =\"35444736\"]\n  11 -> 30 [size =\"35444736\"]\n  12 [size=\"28428800\", alpha=\"0.04\", expect_size=\"11371520\"] \n  12 -> 24 [size =\"11371520\"]\n  12 -> 25 [size =\"11371520\"]\n  12 -> 26 [size =\"11371520\"]\n  12 -> 29 [size =\"11371520\"]\n  13 [size=\"103831040\", alpha=\"0.04\", expect_size=\"41532416\"] \n  13 -> 25 [size =\"41532416\"]\n  13 -> 29 [size =\"41532416\"]\n  14 [size=\"40865280\", alpha=\"0.10\", expect_size=\"16346112\"] \n  14 -> 26 [size =\"16346112\"]\n  14 -> 28 [size =\"16346112\"]\n  14 -> 29 [size =\"16346112\"]\n  14 -> 30 [size =\"16346112\"]\n  15 [size=\"21928960\", alpha=\"0.07\", expect_size=\"8771584\"] \n  15 -> 25 [size =\"8771584\"]\n  15 -> 26 [size =\"8771584\"]\n  15 -> 28 [size =\"8771584\"]\n  15 -> 29 [size =\"8771584\"]\n  15 -> 30 [size =\"8771584\"]\n  16 [size=\"54039040\", alpha=\"0.09\", expect_size=\"21615616\"] \n  16 -> 24 [size =\"21615616\"]\n  16 -> 25 [size =\"21615616\"]\n  16 -> 26 [size =\"21615616\"]\n  17 [size=\"83496960\", alpha=\"0.16\", expect_size=\"33398784\"] \n  17 -> 24 [size =\"33398784\"]\n  17 -> 25 [size =\"33398784\"]\n  17 -> 27 [size =\"33398784\"]\n  18 [size=\"45227520\", alpha=\"0.07\", expect_size=\"18091008\"] \n  18 -> 24 [size =\"18091008\"]\n  18 -> 25 [size =\"18091008\"]\n  18 -> 29 [size =\"18091008\"]\n  19 [size=\"101281280\", alpha=\"0.12\", expect_size=\"40512512\"] \n  19 -> 24 [size =\"40512512\"]\n  19 -> 25 [size =\"40512512\"]\n  19 -> 26 [size =\"40512512\"]\n  20 [size=\"22929920\", alpha=\"0.04\", expect_size=\"9171968\"] \n  20 -> 24 [size =\"9171968\"]\n  20 -> 25 [size =\"9171968\"]\n  20 -> 26 [size =\"9171968\"]\n  20 -> 29 [size =\"9171968\"]\n  21 [size=\"15720960\", alpha=\"0.02\", expect_size=\"6288384\"] \n  21 -> 24 [size =\"6288384\"]\n  22 [size=\"92129280\", alpha=\"0.15\", expect_size=\"36851712\"] \n  22 -> 24 [size =\"36851712\"]\n  22 -> 25 [size =\"36851712\"]\n  22 -> 27 [size =\"36851712\"]\n  22 -> 30 [size =\"36851712\"]\n  23 [size=\"115660800\", alpha=\"0.11\", expect_size=\"46264320\"] \n  23 -> 24 [size =\"46264320\"]\n  23 -> 25 [size =\"46264320\"]\n  23 -> 26 [size =\"46264320\"]\n  23 -> 29 [size =\"46264320\"]\n  24 [size=\"23864320\", alpha=\"0.09\", expect_size=\"9545728\"] \n  25 [size=\"80184320\", alpha=\"0.02\", expect_size=\"32073728\"] \n  26 [size=\"118858240\", alpha=\"0.07\", expect_size=\"47543296\"] \n  27 [size=\"54817280\", alpha=\"0.17\", expect_size=\"21926912\"] \n  28 [size=\"29189120\", alpha=\"0.01\", expect_size=\"11675648\"] \n  29 [size=\"68730880\", alpha=\"0.12\", expect_size=\"27492352\"] \n  30 [size=\"23214080\", alpha=\"0.11\", expect_size=\"9285632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38598656\", alpha=\"0.10\", expect_size=\"19299328\"] \n  1 -> 6 [size =\"19299328\"]\n  2 [size=\"51933184\", alpha=\"0.19\", expect_size=\"25966592\"] \n  2 -> 6 [size =\"25966592\"]\n  2 -> 7 [size =\"25966592\"]\n  3 [size=\"77330432\", alpha=\"0.13\", expect_size=\"38665216\"] \n  3 -> 6 [size =\"38665216\"]\n  3 -> 7 [size =\"38665216\"]\n  3 -> 8 [size =\"38665216\"]\n  4 [size=\"72413184\", alpha=\"0.02\", expect_size=\"36206592\"] \n  4 -> 6 [size =\"36206592\"]\n  4 -> 7 [size =\"36206592\"]\n  5 [size=\"50421760\", alpha=\"0.02\", expect_size=\"25210880\"] \n  5 -> 6 [size =\"25210880\"]\n  5 -> 7 [size =\"25210880\"]\n  6 [size=\"97517568\", alpha=\"0.19\", expect_size=\"48758784\"] \n  6 -> 9 [size =\"48758784\"]\n  6 -> 10 [size =\"48758784\"]\n  6 -> 11 [size =\"48758784\"]\n  6 -> 12 [size =\"48758784\"]\n  7 [size=\"35377152\", alpha=\"0.01\", expect_size=\"17688576\"] \n  7 -> 11 [size =\"17688576\"]\n  8 [size=\"63299584\", alpha=\"0.17\", expect_size=\"31649792\"] \n  8 -> 11 [size =\"31649792\"]\n  9 [size=\"68192256\", alpha=\"0.04\", expect_size=\"34096128\"] \n  9 -> 13 [size =\"34096128\"]\n  9 -> 16 [size =\"34096128\"]\n  10 [size=\"55111680\", alpha=\"0.10\", expect_size=\"27555840\"] \n  10 -> 13 [size =\"27555840\"]\n  10 -> 14 [size =\"27555840\"]\n  10 -> 15 [size =\"27555840\"]\n  11 [size=\"77129728\", alpha=\"0.03\", expect_size=\"38564864\"] \n  11 -> 13 [size =\"38564864\"]\n  11 -> 14 [size =\"38564864\"]\n  11 -> 15 [size =\"38564864\"]\n  11 -> 16 [size =\"38564864\"]\n  12 [size=\"28989440\", alpha=\"0.15\", expect_size=\"14494720\"] \n  12 -> 13 [size =\"14494720\"]\n  12 -> 14 [size =\"14494720\"]\n  12 -> 16 [size =\"14494720\"]\n  12 -> 16 [size =\"14494720\"]\n  13 [size=\"24123392\", alpha=\"0.10\", expect_size=\"12061696\"] \n  13 -> 17 [size =\"12061696\"]\n  13 -> 18 [size =\"12061696\"]\n  13 -> 20 [size =\"12061696\"]\n  14 [size=\"84678656\", alpha=\"0.00\", expect_size=\"42339328\"] \n  14 -> 17 [size =\"42339328\"]\n  14 -> 18 [size =\"42339328\"]\n  14 -> 19 [size =\"42339328\"]\n  14 -> 20 [size =\"42339328\"]\n  14 -> 21 [size =\"42339328\"]\n  14 -> 22 [size =\"42339328\"]\n  15 [size=\"92276736\", alpha=\"0.19\", expect_size=\"46138368\"] \n  15 -> 17 [size =\"46138368\"]\n  15 -> 18 [size =\"46138368\"]\n  15 -> 19 [size =\"46138368\"]\n  15 -> 20 [size =\"46138368\"]\n  16 [size=\"100710400\", alpha=\"0.10\", expect_size=\"50355200\"] \n  16 -> 18 [size =\"50355200\"]\n  16 -> 19 [size =\"50355200\"]\n  16 -> 20 [size =\"50355200\"]\n  16 -> 21 [size =\"50355200\"]\n  16 -> 22 [size =\"50355200\"]\n  17 [size=\"95336448\", alpha=\"0.03\", expect_size=\"47668224\"] \n  18 [size=\"98297856\", alpha=\"0.10\", expect_size=\"49148928\"] \n  18 -> 25 [size =\"49148928\"]\n  19 [size=\"84381696\", alpha=\"0.05\", expect_size=\"42190848\"] \n  19 -> 23 [size =\"42190848\"]\n  20 [size=\"103550976\", alpha=\"0.03\", expect_size=\"51775488\"] \n  21 [size=\"54349824\", alpha=\"0.07\", expect_size=\"27174912\"] \n  21 -> 24 [size =\"27174912\"]\n  22 [size=\"70617088\", alpha=\"0.00\", expect_size=\"35308544\"] \n  22 -> 24 [size =\"35308544\"]\n  22 -> 25 [size =\"35308544\"]\n  23 [size=\"45416448\", alpha=\"0.07\", expect_size=\"22708224\"] \n  23 -> 26 [size =\"22708224\"]\n  23 -> 27 [size =\"22708224\"]\n  23 -> 28 [size =\"22708224\"]\n  24 [size=\"93118464\", alpha=\"0.08\", expect_size=\"46559232\"] \n  24 -> 29 [size =\"46559232\"]\n  25 [size=\"95451136\", alpha=\"0.16\", expect_size=\"47725568\"] \n  25 -> 26 [size =\"47725568\"]\n  25 -> 27 [size =\"47725568\"]\n  25 -> 29 [size =\"47725568\"]\n  26 [size=\"91973632\", alpha=\"0.04\", expect_size=\"45986816\"] \n  27 [size=\"42917888\", alpha=\"0.16\", expect_size=\"21458944\"] \n  27 -> 30 [size =\"21458944\"]\n  28 [size=\"57716736\", alpha=\"0.20\", expect_size=\"28858368\"] \n  28 -> 30 [size =\"28858368\"]\n  29 [size=\"102979584\", alpha=\"0.15\", expect_size=\"51489792\"] \n  29 -> 30 [size =\"51489792\"]\n  30 [size=\"32096256\", alpha=\"0.01\", expect_size=\"16048128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26679296\", alpha=\"0.02\", expect_size=\"13339648\"] \n  1 -> 2 [size =\"13339648\"]\n  2 [size=\"81117184\", alpha=\"0.06\", expect_size=\"40558592\"] \n  2 -> 3 [size =\"40558592\"]\n  3 [size=\"66244608\", alpha=\"0.01\", expect_size=\"33122304\"] \n  3 -> 4 [size =\"33122304\"]\n  4 [size=\"81375232\", alpha=\"0.17\", expect_size=\"40687616\"] \n  4 -> 5 [size =\"40687616\"]\n  5 [size=\"24342528\", alpha=\"0.05\", expect_size=\"12171264\"] \n  5 -> 6 [size =\"12171264\"]\n  6 [size=\"48060416\", alpha=\"0.06\", expect_size=\"24030208\"] \n  6 -> 7 [size =\"24030208\"]\n  7 [size=\"70555648\", alpha=\"0.07\", expect_size=\"35277824\"] \n  7 -> 8 [size =\"35277824\"]\n  8 [size=\"67522560\", alpha=\"0.01\", expect_size=\"33761280\"] \n  8 -> 9 [size =\"33761280\"]\n  9 [size=\"59355136\", alpha=\"0.16\", expect_size=\"29677568\"] \n  9 -> 10 [size =\"29677568\"]\n  10 [size=\"54925312\", alpha=\"0.01\", expect_size=\"27462656\"] \n  10 -> 11 [size =\"27462656\"]\n  11 [size=\"39694336\", alpha=\"0.05\", expect_size=\"19847168\"] \n  11 -> 12 [size =\"19847168\"]\n  12 [size=\"49201152\", alpha=\"0.15\", expect_size=\"24600576\"] \n  12 -> 13 [size =\"24600576\"]\n  13 [size=\"76015616\", alpha=\"0.15\", expect_size=\"38007808\"] \n  13 -> 14 [size =\"38007808\"]\n  14 [size=\"82378752\", alpha=\"0.11\", expect_size=\"41189376\"] \n  14 -> 15 [size =\"41189376\"]\n  15 [size=\"69888000\", alpha=\"0.16\", expect_size=\"34944000\"] \n  15 -> 16 [size =\"34944000\"]\n  16 [size=\"92737536\", alpha=\"0.04\", expect_size=\"46368768\"] \n  16 -> 17 [size =\"46368768\"]\n  17 [size=\"26558464\", alpha=\"0.12\", expect_size=\"13279232\"] \n  17 -> 18 [size =\"13279232\"]\n  18 [size=\"61626368\", alpha=\"0.10\", expect_size=\"30813184\"] \n  18 -> 19 [size =\"30813184\"]\n  19 [size=\"64854016\", alpha=\"0.05\", expect_size=\"32427008\"] \n  19 -> 20 [size =\"32427008\"]\n  20 [size=\"48132096\", alpha=\"0.10\", expect_size=\"24066048\"] \n  20 -> 21 [size =\"24066048\"]\n  21 [size=\"53123072\", alpha=\"0.19\", expect_size=\"26561536\"] \n  21 -> 22 [size =\"26561536\"]\n  22 [size=\"76521472\", alpha=\"0.02\", expect_size=\"38260736\"] \n  22 -> 23 [size =\"38260736\"]\n  23 [size=\"54583296\", alpha=\"0.18\", expect_size=\"27291648\"] \n  23 -> 24 [size =\"27291648\"]\n  24 [size=\"30840832\", alpha=\"0.08\", expect_size=\"15420416\"] \n  24 -> 25 [size =\"15420416\"]\n  25 [size=\"85102592\", alpha=\"0.01\", expect_size=\"42551296\"] \n  25 -> 26 [size =\"42551296\"]\n  26 [size=\"64548864\", alpha=\"0.03\", expect_size=\"32274432\"] \n  26 -> 27 [size =\"32274432\"]\n  27 [size=\"83103744\", alpha=\"0.17\", expect_size=\"41551872\"] \n  27 -> 28 [size =\"41551872\"]\n  28 [size=\"43632640\", alpha=\"0.03\", expect_size=\"21816320\"] \n  28 -> 29 [size =\"21816320\"]\n  29 [size=\"89913344\", alpha=\"0.20\", expect_size=\"44956672\"] \n  29 -> 30 [size =\"44956672\"]\n  30 [size=\"17876992\", alpha=\"0.06\", expect_size=\"8938496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18245632\", alpha=\"0.12\", expect_size=\"9122816\"] \n  1 -> 2 [size =\"9122816\"]\n  2 [size=\"70803456\", alpha=\"0.06\", expect_size=\"35401728\"] \n  2 -> 3 [size =\"35401728\"]\n  3 [size=\"79200256\", alpha=\"0.13\", expect_size=\"39600128\"] \n  3 -> 4 [size =\"39600128\"]\n  4 [size=\"71276544\", alpha=\"0.13\", expect_size=\"35638272\"] \n  4 -> 5 [size =\"35638272\"]\n  5 [size=\"49696768\", alpha=\"0.15\", expect_size=\"24848384\"] \n  5 -> 6 [size =\"24848384\"]\n  6 [size=\"21510144\", alpha=\"0.15\", expect_size=\"10755072\"] \n  6 -> 7 [size =\"10755072\"]\n  7 [size=\"87216128\", alpha=\"0.13\", expect_size=\"43608064\"] \n  7 -> 8 [size =\"43608064\"]\n  8 [size=\"94892032\", alpha=\"0.03\", expect_size=\"47446016\"] \n  8 -> 9 [size =\"47446016\"]\n  9 [size=\"17524736\", alpha=\"0.02\", expect_size=\"8762368\"] \n  9 -> 10 [size =\"8762368\"]\n  10 [size=\"36560896\", alpha=\"0.16\", expect_size=\"18280448\"] \n  10 -> 11 [size =\"18280448\"]\n  11 [size=\"56274944\", alpha=\"0.12\", expect_size=\"28137472\"] \n  11 -> 12 [size =\"28137472\"]\n  12 [size=\"17641472\", alpha=\"0.17\", expect_size=\"8820736\"] \n  12 -> 13 [size =\"8820736\"]\n  13 [size=\"48267264\", alpha=\"0.03\", expect_size=\"24133632\"] \n  13 -> 14 [size =\"24133632\"]\n  14 [size=\"15540224\", alpha=\"0.16\", expect_size=\"7770112\"] \n  14 -> 15 [size =\"7770112\"]\n  15 [size=\"78614528\", alpha=\"0.16\", expect_size=\"39307264\"] \n  15 -> 16 [size =\"39307264\"]\n  16 [size=\"52944896\", alpha=\"0.11\", expect_size=\"26472448\"] \n  16 -> 17 [size =\"26472448\"]\n  17 [size=\"28604416\", alpha=\"0.04\", expect_size=\"14302208\"] \n  17 -> 18 [size =\"14302208\"]\n  18 [size=\"90652672\", alpha=\"0.18\", expect_size=\"45326336\"] \n  18 -> 19 [size =\"45326336\"]\n  19 [size=\"11943936\", alpha=\"0.12\", expect_size=\"5971968\"] \n  19 -> 20 [size =\"5971968\"]\n  20 [size=\"19879936\", alpha=\"0.18\", expect_size=\"9939968\"] \n  20 -> 21 [size =\"9939968\"]\n  21 [size=\"97306624\", alpha=\"0.05\", expect_size=\"48653312\"] \n  21 -> 22 [size =\"48653312\"]\n  22 [size=\"59453440\", alpha=\"0.05\", expect_size=\"29726720\"] \n  22 -> 23 [size =\"29726720\"]\n  23 [size=\"47491072\", alpha=\"0.00\", expect_size=\"23745536\"] \n  23 -> 24 [size =\"23745536\"]\n  24 [size=\"61771776\", alpha=\"0.08\", expect_size=\"30885888\"] \n  24 -> 25 [size =\"30885888\"]\n  25 [size=\"42897408\", alpha=\"0.04\", expect_size=\"21448704\"] \n  25 -> 26 [size =\"21448704\"]\n  26 [size=\"25991168\", alpha=\"0.02\", expect_size=\"12995584\"] \n  26 -> 27 [size =\"12995584\"]\n  27 [size=\"77373440\", alpha=\"0.17\", expect_size=\"38686720\"] \n  27 -> 28 [size =\"38686720\"]\n  28 [size=\"95016960\", alpha=\"0.09\", expect_size=\"47508480\"] \n  28 -> 29 [size =\"47508480\"]\n  29 [size=\"84856832\", alpha=\"0.03\", expect_size=\"42428416\"] \n  29 -> 30 [size =\"42428416\"]\n  30 [size=\"46460928\", alpha=\"0.03\", expect_size=\"23230464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45383680\", alpha=\"0.10\", expect_size=\"18153472\"] \n  1 -> 2 [size =\"18153472\"]\n  2 [size=\"122572800\", alpha=\"0.02\", expect_size=\"49029120\"] \n  2 -> 3 [size =\"49029120\"]\n  3 [size=\"66099200\", alpha=\"0.10\", expect_size=\"26439680\"] \n  3 -> 4 [size =\"26439680\"]\n  4 [size=\"67978240\", alpha=\"0.01\", expect_size=\"27191296\"] \n  4 -> 5 [size =\"27191296\"]\n  5 [size=\"77657600\", alpha=\"0.14\", expect_size=\"31063040\"] \n  5 -> 6 [size =\"31063040\"]\n  6 [size=\"97597440\", alpha=\"0.01\", expect_size=\"39038976\"] \n  6 -> 7 [size =\"39038976\"]\n  7 [size=\"62968320\", alpha=\"0.05\", expect_size=\"25187328\"] \n  7 -> 8 [size =\"25187328\"]\n  8 [size=\"28096000\", alpha=\"0.03\", expect_size=\"11238400\"] \n  8 -> 9 [size =\"11238400\"]\n  9 [size=\"15920640\", alpha=\"0.20\", expect_size=\"6368256\"] \n  9 -> 10 [size =\"6368256\"]\n  10 [size=\"85624320\", alpha=\"0.08\", expect_size=\"34249728\"] \n  10 -> 11 [size =\"34249728\"]\n  11 [size=\"62105600\", alpha=\"0.01\", expect_size=\"24842240\"] \n  11 -> 12 [size =\"24842240\"]\n  12 [size=\"121308160\", alpha=\"0.06\", expect_size=\"48523264\"] \n  12 -> 13 [size =\"48523264\"]\n  13 [size=\"14650880\", alpha=\"0.06\", expect_size=\"5860352\"] \n  13 -> 14 [size =\"5860352\"]\n  14 [size=\"74240000\", alpha=\"0.06\", expect_size=\"29696000\"] \n  14 -> 15 [size =\"29696000\"]\n  15 [size=\"77534720\", alpha=\"0.19\", expect_size=\"31013888\"] \n  15 -> 16 [size =\"31013888\"]\n  16 [size=\"39505920\", alpha=\"0.15\", expect_size=\"15802368\"] \n  16 -> 17 [size =\"15802368\"]\n  17 [size=\"44085760\", alpha=\"0.16\", expect_size=\"17634304\"] \n  17 -> 18 [size =\"17634304\"]\n  18 [size=\"74590720\", alpha=\"0.10\", expect_size=\"29836288\"] \n  18 -> 19 [size =\"29836288\"]\n  19 [size=\"92244480\", alpha=\"0.13\", expect_size=\"36897792\"] \n  19 -> 20 [size =\"36897792\"]\n  20 [size=\"92088320\", alpha=\"0.05\", expect_size=\"36835328\"] \n  20 -> 21 [size =\"36835328\"]\n  21 [size=\"19758080\", alpha=\"0.02\", expect_size=\"7903232\"] \n  21 -> 22 [size =\"7903232\"]\n  22 [size=\"22960640\", alpha=\"0.18\", expect_size=\"9184256\"] \n  22 -> 23 [size =\"9184256\"]\n  23 [size=\"57815040\", alpha=\"0.02\", expect_size=\"23126016\"] \n  23 -> 24 [size =\"23126016\"]\n  24 [size=\"90821120\", alpha=\"0.16\", expect_size=\"36328448\"] \n  24 -> 25 [size =\"36328448\"]\n  25 [size=\"125306880\", alpha=\"0.01\", expect_size=\"50122752\"] \n  25 -> 26 [size =\"50122752\"]\n  26 [size=\"121264640\", alpha=\"0.01\", expect_size=\"48505856\"] \n  26 -> 27 [size =\"48505856\"]\n  27 [size=\"91105280\", alpha=\"0.08\", expect_size=\"36442112\"] \n  27 -> 28 [size =\"36442112\"]\n  28 [size=\"68480000\", alpha=\"0.19\", expect_size=\"27392000\"] \n  28 -> 29 [size =\"27392000\"]\n  29 [size=\"129768960\", alpha=\"0.10\", expect_size=\"51907584\"] \n  29 -> 30 [size =\"51907584\"]\n  30 [size=\"89303040\", alpha=\"0.13\", expect_size=\"35721216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101101568\", alpha=\"0.09\", expect_size=\"50550784\"] \n  1 -> 17 [size =\"50550784\"]\n  1 -> 18 [size =\"50550784\"]\n  2 [size=\"57417728\", alpha=\"0.04\", expect_size=\"28708864\"] \n  2 -> 11 [size =\"28708864\"]\n  2 -> 17 [size =\"28708864\"]\n  2 -> 19 [size =\"28708864\"]\n  3 [size=\"14227456\", alpha=\"0.19\", expect_size=\"7113728\"] \n  3 -> 19 [size =\"7113728\"]\n  4 [size=\"34185216\", alpha=\"0.11\", expect_size=\"17092608\"] \n  4 -> 10 [size =\"17092608\"]\n  4 -> 12 [size =\"17092608\"]\n  4 -> 18 [size =\"17092608\"]\n  4 -> 19 [size =\"17092608\"]\n  5 [size=\"31473664\", alpha=\"0.13\", expect_size=\"15736832\"] \n  5 -> 10 [size =\"15736832\"]\n  5 -> 11 [size =\"15736832\"]\n  5 -> 13 [size =\"15736832\"]\n  5 -> 17 [size =\"15736832\"]\n  5 -> 18 [size =\"15736832\"]\n  6 [size=\"61603840\", alpha=\"0.15\", expect_size=\"30801920\"] \n  6 -> 10 [size =\"30801920\"]\n  6 -> 12 [size =\"30801920\"]\n  6 -> 18 [size =\"30801920\"]\n  6 -> 19 [size =\"30801920\"]\n  7 [size=\"85536768\", alpha=\"0.08\", expect_size=\"42768384\"] \n  7 -> 10 [size =\"42768384\"]\n  8 [size=\"86620160\", alpha=\"0.07\", expect_size=\"43310080\"] \n  8 -> 10 [size =\"43310080\"]\n  8 -> 15 [size =\"43310080\"]\n  8 -> 16 [size =\"43310080\"]\n  8 -> 17 [size =\"43310080\"]\n  9 [size=\"64569344\", alpha=\"0.10\", expect_size=\"32284672\"] \n  9 -> 10 [size =\"32284672\"]\n  9 -> 14 [size =\"32284672\"]\n  9 -> 17 [size =\"32284672\"]\n  9 -> 18 [size =\"32284672\"]\n  10 [size=\"14540800\", alpha=\"0.15\", expect_size=\"7270400\"] \n  10 -> 23 [size =\"7270400\"]\n  10 -> 24 [size =\"7270400\"]\n  10 -> 27 [size =\"7270400\"]\n  10 -> 28 [size =\"7270400\"]\n  11 [size=\"39966720\", alpha=\"0.15\", expect_size=\"19983360\"] \n  11 -> 23 [size =\"19983360\"]\n  11 -> 24 [size =\"19983360\"]\n  11 -> 25 [size =\"19983360\"]\n  12 [size=\"81457152\", alpha=\"0.07\", expect_size=\"40728576\"] \n  12 -> 21 [size =\"40728576\"]\n  12 -> 25 [size =\"40728576\"]\n  12 -> 26 [size =\"40728576\"]\n  12 -> 27 [size =\"40728576\"]\n  13 [size=\"100278272\", alpha=\"0.15\", expect_size=\"50139136\"] \n  13 -> 23 [size =\"50139136\"]\n  13 -> 27 [size =\"50139136\"]\n  14 [size=\"97042432\", alpha=\"0.08\", expect_size=\"48521216\"] \n  15 [size=\"52412416\", alpha=\"0.03\", expect_size=\"26206208\"] \n  16 [size=\"21727232\", alpha=\"0.10\", expect_size=\"10863616\"] \n  16 -> 25 [size =\"10863616\"]\n  17 [size=\"93392896\", alpha=\"0.02\", expect_size=\"46696448\"] \n  17 -> 20 [size =\"46696448\"]\n  17 -> 22 [size =\"46696448\"]\n  17 -> 23 [size =\"46696448\"]\n  18 [size=\"35737600\", alpha=\"0.03\", expect_size=\"17868800\"] \n  18 -> 20 [size =\"17868800\"]\n  18 -> 23 [size =\"17868800\"]\n  18 -> 26 [size =\"17868800\"]\n  18 -> 27 [size =\"17868800\"]\n  19 [size=\"68067328\", alpha=\"0.11\", expect_size=\"34033664\"] \n  19 -> 23 [size =\"34033664\"]\n  19 -> 28 [size =\"34033664\"]\n  20 [size=\"21796864\", alpha=\"0.10\", expect_size=\"10898432\"] \n  21 [size=\"94371840\", alpha=\"0.08\", expect_size=\"47185920\"] \n  21 -> 30 [size =\"47185920\"]\n  22 [size=\"69017600\", alpha=\"0.16\", expect_size=\"34508800\"] \n  22 -> 30 [size =\"34508800\"]\n  23 [size=\"102731776\", alpha=\"0.05\", expect_size=\"51365888\"] \n  23 -> 30 [size =\"51365888\"]\n  24 [size=\"80226304\", alpha=\"0.19\", expect_size=\"40113152\"] \n  24 -> 30 [size =\"40113152\"]\n  25 [size=\"24700928\", alpha=\"0.17\", expect_size=\"12350464\"] \n  26 [size=\"38252544\", alpha=\"0.06\", expect_size=\"19126272\"] \n  27 [size=\"84381696\", alpha=\"0.11\", expect_size=\"42190848\"] \n  27 -> 29 [size =\"42190848\"]\n  28 [size=\"95965184\", alpha=\"0.13\", expect_size=\"47982592\"] \n  28 -> 29 [size =\"47982592\"]\n  28 -> 30 [size =\"47982592\"]\n  29 [size=\"13559808\", alpha=\"0.05\", expect_size=\"6779904\"] \n  30 [size=\"65202176\", alpha=\"0.19\", expect_size=\"32601088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92237824\", alpha=\"0.17\", expect_size=\"46118912\"] \n  1 -> 15 [size =\"46118912\"]\n  1 -> 17 [size =\"46118912\"]\n  1 -> 18 [size =\"46118912\"]\n  1 -> 19 [size =\"46118912\"]\n  1 -> 20 [size =\"46118912\"]\n  1 -> 25 [size =\"46118912\"]\n  1 -> 26 [size =\"46118912\"]\n  2 [size=\"96006144\", alpha=\"0.12\", expect_size=\"48003072\"] \n  2 -> 17 [size =\"48003072\"]\n  2 -> 22 [size =\"48003072\"]\n  2 -> 25 [size =\"48003072\"]\n  3 [size=\"80306176\", alpha=\"0.01\", expect_size=\"40153088\"] \n  3 -> 16 [size =\"40153088\"]\n  3 -> 17 [size =\"40153088\"]\n  3 -> 20 [size =\"40153088\"]\n  3 -> 26 [size =\"40153088\"]\n  4 [size=\"32370688\", alpha=\"0.17\", expect_size=\"16185344\"] \n  4 -> 19 [size =\"16185344\"]\n  4 -> 20 [size =\"16185344\"]\n  4 -> 22 [size =\"16185344\"]\n  4 -> 26 [size =\"16185344\"]\n  4 -> 29 [size =\"16185344\"]\n  5 [size=\"23513088\", alpha=\"0.12\", expect_size=\"11756544\"] \n  5 -> 17 [size =\"11756544\"]\n  5 -> 21 [size =\"11756544\"]\n  5 -> 22 [size =\"11756544\"]\n  5 -> 26 [size =\"11756544\"]\n  6 [size=\"82808832\", alpha=\"0.17\", expect_size=\"41404416\"] \n  6 -> 16 [size =\"41404416\"]\n  6 -> 17 [size =\"41404416\"]\n  6 -> 23 [size =\"41404416\"]\n  6 -> 24 [size =\"41404416\"]\n  6 -> 26 [size =\"41404416\"]\n  6 -> 27 [size =\"41404416\"]\n  6 -> 29 [size =\"41404416\"]\n  6 -> 30 [size =\"41404416\"]\n  7 [size=\"57380864\", alpha=\"0.04\", expect_size=\"28690432\"] \n  7 -> 19 [size =\"28690432\"]\n  7 -> 22 [size =\"28690432\"]\n  7 -> 24 [size =\"28690432\"]\n  8 [size=\"46770176\", alpha=\"0.15\", expect_size=\"23385088\"] \n  8 -> 17 [size =\"23385088\"]\n  8 -> 20 [size =\"23385088\"]\n  8 -> 21 [size =\"23385088\"]\n  8 -> 24 [size =\"23385088\"]\n  8 -> 25 [size =\"23385088\"]\n  8 -> 28 [size =\"23385088\"]\n  9 [size=\"98551808\", alpha=\"0.05\", expect_size=\"49275904\"] \n  9 -> 17 [size =\"49275904\"]\n  9 -> 22 [size =\"49275904\"]\n  9 -> 24 [size =\"49275904\"]\n  9 -> 24 [size =\"49275904\"]\n  9 -> 25 [size =\"49275904\"]\n  9 -> 26 [size =\"49275904\"]\n  9 -> 27 [size =\"49275904\"]\n  10 [size=\"63240192\", alpha=\"0.09\", expect_size=\"31620096\"] \n  10 -> 16 [size =\"31620096\"]\n  10 -> 18 [size =\"31620096\"]\n  10 -> 22 [size =\"31620096\"]\n  10 -> 24 [size =\"31620096\"]\n  10 -> 25 [size =\"31620096\"]\n  11 [size=\"96563200\", alpha=\"0.17\", expect_size=\"48281600\"] \n  11 -> 19 [size =\"48281600\"]\n  11 -> 24 [size =\"48281600\"]\n  11 -> 25 [size =\"48281600\"]\n  11 -> 28 [size =\"48281600\"]\n  11 -> 29 [size =\"48281600\"]\n  11 -> 30 [size =\"48281600\"]\n  12 [size=\"80459776\", alpha=\"0.00\", expect_size=\"40229888\"] \n  12 -> 16 [size =\"40229888\"]\n  12 -> 17 [size =\"40229888\"]\n  12 -> 20 [size =\"40229888\"]\n  12 -> 22 [size =\"40229888\"]\n  12 -> 23 [size =\"40229888\"]\n  12 -> 25 [size =\"40229888\"]\n  12 -> 27 [size =\"40229888\"]\n  12 -> 28 [size =\"40229888\"]\n  13 [size=\"41601024\", alpha=\"0.07\", expect_size=\"20800512\"] \n  13 -> 15 [size =\"20800512\"]\n  13 -> 16 [size =\"20800512\"]\n  13 -> 19 [size =\"20800512\"]\n  13 -> 20 [size =\"20800512\"]\n  13 -> 22 [size =\"20800512\"]\n  13 -> 25 [size =\"20800512\"]\n  13 -> 26 [size =\"20800512\"]\n  13 -> 27 [size =\"20800512\"]\n  14 [size=\"47177728\", alpha=\"0.03\", expect_size=\"23588864\"] \n  14 -> 17 [size =\"23588864\"]\n  14 -> 19 [size =\"23588864\"]\n  14 -> 20 [size =\"23588864\"]\n  14 -> 22 [size =\"23588864\"]\n  14 -> 24 [size =\"23588864\"]\n  14 -> 25 [size =\"23588864\"]\n  14 -> 27 [size =\"23588864\"]\n  14 -> 29 [size =\"23588864\"]\n  15 [size=\"33460224\", alpha=\"0.12\", expect_size=\"16730112\"] \n  16 [size=\"88655872\", alpha=\"0.13\", expect_size=\"44327936\"] \n  17 [size=\"75790336\", alpha=\"0.10\", expect_size=\"37895168\"] \n  18 [size=\"94484480\", alpha=\"0.07\", expect_size=\"47242240\"] \n  19 [size=\"71940096\", alpha=\"0.12\", expect_size=\"35970048\"] \n  20 [size=\"95735808\", alpha=\"0.16\", expect_size=\"47867904\"] \n  21 [size=\"42569728\", alpha=\"0.19\", expect_size=\"21284864\"] \n  22 [size=\"27832320\", alpha=\"0.19\", expect_size=\"13916160\"] \n  23 [size=\"28088320\", alpha=\"0.14\", expect_size=\"14044160\"] \n  24 [size=\"62859264\", alpha=\"0.14\", expect_size=\"31429632\"] \n  25 [size=\"75454464\", alpha=\"0.16\", expect_size=\"37727232\"] \n  26 [size=\"35481600\", alpha=\"0.14\", expect_size=\"17740800\"] \n  27 [size=\"95348736\", alpha=\"0.02\", expect_size=\"47674368\"] \n  28 [size=\"48087040\", alpha=\"0.17\", expect_size=\"24043520\"] \n  29 [size=\"80637952\", alpha=\"0.11\", expect_size=\"40318976\"] \n  30 [size=\"40699904\", alpha=\"0.16\", expect_size=\"20349952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74899456\", alpha=\"0.01\", expect_size=\"37449728\"] \n  1 -> 7 [size =\"37449728\"]\n  2 [size=\"65540096\", alpha=\"0.11\", expect_size=\"32770048\"] \n  2 -> 5 [size =\"32770048\"]\n  2 -> 6 [size =\"32770048\"]\n  2 -> 7 [size =\"32770048\"]\n  3 [size=\"54358016\", alpha=\"0.07\", expect_size=\"27179008\"] \n  3 -> 8 [size =\"27179008\"]\n  4 [size=\"53559296\", alpha=\"0.09\", expect_size=\"26779648\"] \n  4 -> 5 [size =\"26779648\"]\n  5 [size=\"29143040\", alpha=\"0.20\", expect_size=\"14571520\"] \n  5 -> 10 [size =\"14571520\"]\n  6 [size=\"68659200\", alpha=\"0.06\", expect_size=\"34329600\"] \n  6 -> 9 [size =\"34329600\"]\n  6 -> 11 [size =\"34329600\"]\n  7 [size=\"32690176\", alpha=\"0.03\", expect_size=\"16345088\"] \n  7 -> 10 [size =\"16345088\"]\n  7 -> 12 [size =\"16345088\"]\n  8 [size=\"53528576\", alpha=\"0.10\", expect_size=\"26764288\"] \n  8 -> 9 [size =\"26764288\"]\n  8 -> 12 [size =\"26764288\"]\n  9 [size=\"91762688\", alpha=\"0.19\", expect_size=\"45881344\"] \n  9 -> 15 [size =\"45881344\"]\n  10 [size=\"96665600\", alpha=\"0.06\", expect_size=\"48332800\"] \n  10 -> 13 [size =\"48332800\"]\n  10 -> 16 [size =\"48332800\"]\n  11 [size=\"85929984\", alpha=\"0.13\", expect_size=\"42964992\"] \n  11 -> 16 [size =\"42964992\"]\n  12 [size=\"89821184\", alpha=\"0.05\", expect_size=\"44910592\"] \n  12 -> 13 [size =\"44910592\"]\n  12 -> 14 [size =\"44910592\"]\n  13 [size=\"49692672\", alpha=\"0.07\", expect_size=\"24846336\"] \n  14 [size=\"84654080\", alpha=\"0.13\", expect_size=\"42327040\"] \n  14 -> 17 [size =\"42327040\"]\n  14 -> 20 [size =\"42327040\"]\n  15 [size=\"33122304\", alpha=\"0.06\", expect_size=\"16561152\"] \n  15 -> 18 [size =\"16561152\"]\n  15 -> 19 [size =\"16561152\"]\n  16 [size=\"31635456\", alpha=\"0.19\", expect_size=\"15817728\"] \n  16 -> 17 [size =\"15817728\"]\n  16 -> 18 [size =\"15817728\"]\n  16 -> 20 [size =\"15817728\"]\n  16 -> 21 [size =\"15817728\"]\n  17 [size=\"61601792\", alpha=\"0.16\", expect_size=\"30800896\"] \n  17 -> 22 [size =\"30800896\"]\n  17 -> 24 [size =\"30800896\"]\n  18 [size=\"74553344\", alpha=\"0.20\", expect_size=\"37276672\"] \n  18 -> 23 [size =\"37276672\"]\n  19 [size=\"26392576\", alpha=\"0.07\", expect_size=\"13196288\"] \n  20 [size=\"22941696\", alpha=\"0.09\", expect_size=\"11470848\"] \n  20 -> 22 [size =\"11470848\"]\n  20 -> 23 [size =\"11470848\"]\n  20 -> 24 [size =\"11470848\"]\n  20 -> 25 [size =\"11470848\"]\n  21 [size=\"52557824\", alpha=\"0.04\", expect_size=\"26278912\"] \n  21 -> 22 [size =\"26278912\"]\n  21 -> 25 [size =\"26278912\"]\n  22 [size=\"21184512\", alpha=\"0.11\", expect_size=\"10592256\"] \n  23 [size=\"42575872\", alpha=\"0.07\", expect_size=\"21287936\"] \n  23 -> 28 [size =\"21287936\"]\n  23 -> 29 [size =\"21287936\"]\n  24 [size=\"75794432\", alpha=\"0.13\", expect_size=\"37897216\"] \n  24 -> 26 [size =\"37897216\"]\n  24 -> 28 [size =\"37897216\"]\n  24 -> 30 [size =\"37897216\"]\n  25 [size=\"42930176\", alpha=\"0.02\", expect_size=\"21465088\"] \n  25 -> 27 [size =\"21465088\"]\n  25 -> 29 [size =\"21465088\"]\n  26 [size=\"71176192\", alpha=\"0.04\", expect_size=\"35588096\"] \n  27 [size=\"64872448\", alpha=\"0.10\", expect_size=\"32436224\"] \n  28 [size=\"45504512\", alpha=\"0.06\", expect_size=\"22752256\"] \n  29 [size=\"44789760\", alpha=\"0.18\", expect_size=\"22394880\"] \n  30 [size=\"79892480\", alpha=\"0.09\", expect_size=\"39946240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16711680\", alpha=\"0.12\", expect_size=\"8355840\"] \n  1 -> 10 [size =\"8355840\"]\n  1 -> 11 [size =\"8355840\"]\n  1 -> 14 [size =\"8355840\"]\n  1 -> 15 [size =\"8355840\"]\n  1 -> 17 [size =\"8355840\"]\n  1 -> 19 [size =\"8355840\"]\n  2 [size=\"83077120\", alpha=\"0.04\", expect_size=\"41538560\"] \n  2 -> 11 [size =\"41538560\"]\n  2 -> 15 [size =\"41538560\"]\n  3 [size=\"19767296\", alpha=\"0.07\", expect_size=\"9883648\"] \n  3 -> 15 [size =\"9883648\"]\n  3 -> 16 [size =\"9883648\"]\n  3 -> 17 [size =\"9883648\"]\n  4 [size=\"63692800\", alpha=\"0.16\", expect_size=\"31846400\"] \n  4 -> 15 [size =\"31846400\"]\n  4 -> 17 [size =\"31846400\"]\n  4 -> 18 [size =\"31846400\"]\n  4 -> 19 [size =\"31846400\"]\n  5 [size=\"40134656\", alpha=\"0.07\", expect_size=\"20067328\"] \n  5 -> 10 [size =\"20067328\"]\n  5 -> 18 [size =\"20067328\"]\n  6 [size=\"59082752\", alpha=\"0.12\", expect_size=\"29541376\"] \n  6 -> 12 [size =\"29541376\"]\n  6 -> 16 [size =\"29541376\"]\n  7 [size=\"11847680\", alpha=\"0.05\", expect_size=\"5923840\"] \n  7 -> 13 [size =\"5923840\"]\n  7 -> 16 [size =\"5923840\"]\n  8 [size=\"75112448\", alpha=\"0.00\", expect_size=\"37556224\"] \n  8 -> 10 [size =\"37556224\"]\n  8 -> 15 [size =\"37556224\"]\n  8 -> 17 [size =\"37556224\"]\n  8 -> 18 [size =\"37556224\"]\n  8 -> 19 [size =\"37556224\"]\n  9 [size=\"22777856\", alpha=\"0.04\", expect_size=\"11388928\"] \n  9 -> 10 [size =\"11388928\"]\n  9 -> 14 [size =\"11388928\"]\n  9 -> 17 [size =\"11388928\"]\n  9 -> 18 [size =\"11388928\"]\n  10 [size=\"34064384\", alpha=\"0.06\", expect_size=\"17032192\"] \n  10 -> 20 [size =\"17032192\"]\n  10 -> 21 [size =\"17032192\"]\n  10 -> 24 [size =\"17032192\"]\n  10 -> 27 [size =\"17032192\"]\n  11 [size=\"51935232\", alpha=\"0.11\", expect_size=\"25967616\"] \n  11 -> 22 [size =\"25967616\"]\n  11 -> 26 [size =\"25967616\"]\n  12 [size=\"14641152\", alpha=\"0.11\", expect_size=\"7320576\"] \n  12 -> 23 [size =\"7320576\"]\n  12 -> 25 [size =\"7320576\"]\n  13 [size=\"34111488\", alpha=\"0.08\", expect_size=\"17055744\"] \n  13 -> 25 [size =\"17055744\"]\n  13 -> 26 [size =\"17055744\"]\n  13 -> 27 [size =\"17055744\"]\n  14 [size=\"69234688\", alpha=\"0.10\", expect_size=\"34617344\"] \n  14 -> 23 [size =\"34617344\"]\n  14 -> 25 [size =\"34617344\"]\n  14 -> 26 [size =\"34617344\"]\n  15 [size=\"48787456\", alpha=\"0.17\", expect_size=\"24393728\"] \n  15 -> 20 [size =\"24393728\"]\n  15 -> 23 [size =\"24393728\"]\n  15 -> 25 [size =\"24393728\"]\n  16 [size=\"80179200\", alpha=\"0.12\", expect_size=\"40089600\"] \n  16 -> 20 [size =\"40089600\"]\n  16 -> 21 [size =\"40089600\"]\n  16 -> 26 [size =\"40089600\"]\n  16 -> 28 [size =\"40089600\"]\n  17 [size=\"40855552\", alpha=\"0.19\", expect_size=\"20427776\"] \n  17 -> 20 [size =\"20427776\"]\n  17 -> 21 [size =\"20427776\"]\n  17 -> 22 [size =\"20427776\"]\n  17 -> 24 [size =\"20427776\"]\n  17 -> 25 [size =\"20427776\"]\n  18 [size=\"65894400\", alpha=\"0.15\", expect_size=\"32947200\"] \n  18 -> 21 [size =\"32947200\"]\n  18 -> 22 [size =\"32947200\"]\n  18 -> 23 [size =\"32947200\"]\n  18 -> 24 [size =\"32947200\"]\n  18 -> 25 [size =\"32947200\"]\n  18 -> 27 [size =\"32947200\"]\n  19 [size=\"67252224\", alpha=\"0.11\", expect_size=\"33626112\"] \n  19 -> 22 [size =\"33626112\"]\n  19 -> 23 [size =\"33626112\"]\n  19 -> 24 [size =\"33626112\"]\n  19 -> 27 [size =\"33626112\"]\n  20 [size=\"86589440\", alpha=\"0.17\", expect_size=\"43294720\"] \n  20 -> 29 [size =\"43294720\"]\n  21 [size=\"18677760\", alpha=\"0.05\", expect_size=\"9338880\"] \n  21 -> 30 [size =\"9338880\"]\n  22 [size=\"72296448\", alpha=\"0.08\", expect_size=\"36148224\"] \n  22 -> 29 [size =\"36148224\"]\n  23 [size=\"27740160\", alpha=\"0.13\", expect_size=\"13870080\"] \n  24 [size=\"65949696\", alpha=\"0.09\", expect_size=\"32974848\"] \n  25 [size=\"19374080\", alpha=\"0.12\", expect_size=\"9687040\"] \n  25 -> 29 [size =\"9687040\"]\n  26 [size=\"97386496\", alpha=\"0.05\", expect_size=\"48693248\"] \n  27 [size=\"60524544\", alpha=\"0.18\", expect_size=\"30262272\"] \n  28 [size=\"58118144\", alpha=\"0.05\", expect_size=\"29059072\"] \n  28 -> 30 [size =\"29059072\"]\n  29 [size=\"33830912\", alpha=\"0.14\", expect_size=\"16915456\"] \n  30 [size=\"86007808\", alpha=\"0.09\", expect_size=\"43003904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27752448\", alpha=\"0.19\", expect_size=\"13876224\"] \n  1 -> 26 [size =\"13876224\"]\n  1 -> 28 [size =\"13876224\"]\n  1 -> 29 [size =\"13876224\"]\n  2 [size=\"79572992\", alpha=\"0.17\", expect_size=\"39786496\"] \n  2 -> 20 [size =\"39786496\"]\n  2 -> 24 [size =\"39786496\"]\n  2 -> 25 [size =\"39786496\"]\n  3 [size=\"17461248\", alpha=\"0.02\", expect_size=\"8730624\"] \n  3 -> 25 [size =\"8730624\"]\n  4 [size=\"76986368\", alpha=\"0.03\", expect_size=\"38493184\"] \n  4 -> 23 [size =\"38493184\"]\n  4 -> 24 [size =\"38493184\"]\n  4 -> 25 [size =\"38493184\"]\n  5 [size=\"66107392\", alpha=\"0.04\", expect_size=\"33053696\"] \n  5 -> 18 [size =\"33053696\"]\n  5 -> 20 [size =\"33053696\"]\n  6 [size=\"91092992\", alpha=\"0.17\", expect_size=\"45546496\"] \n  6 -> 20 [size =\"45546496\"]\n  6 -> 23 [size =\"45546496\"]\n  6 -> 24 [size =\"45546496\"]\n  6 -> 26 [size =\"45546496\"]\n  7 [size=\"98613248\", alpha=\"0.08\", expect_size=\"49306624\"] \n  7 -> 28 [size =\"49306624\"]\n  8 [size=\"21307392\", alpha=\"0.03\", expect_size=\"10653696\"] \n  8 -> 19 [size =\"10653696\"]\n  8 -> 22 [size =\"10653696\"]\n  8 -> 23 [size =\"10653696\"]\n  8 -> 25 [size =\"10653696\"]\n  9 [size=\"28999680\", alpha=\"0.06\", expect_size=\"14499840\"] \n  9 -> 18 [size =\"14499840\"]\n  9 -> 24 [size =\"14499840\"]\n  9 -> 25 [size =\"14499840\"]\n  9 -> 29 [size =\"14499840\"]\n  10 [size=\"99915776\", alpha=\"0.13\", expect_size=\"49957888\"] \n  10 -> 20 [size =\"49957888\"]\n  10 -> 23 [size =\"49957888\"]\n  10 -> 24 [size =\"49957888\"]\n  10 -> 25 [size =\"49957888\"]\n  10 -> 29 [size =\"49957888\"]\n  10 -> 30 [size =\"49957888\"]\n  11 [size=\"36970496\", alpha=\"0.10\", expect_size=\"18485248\"] \n  11 -> 19 [size =\"18485248\"]\n  11 -> 20 [size =\"18485248\"]\n  11 -> 21 [size =\"18485248\"]\n  11 -> 29 [size =\"18485248\"]\n  11 -> 29 [size =\"18485248\"]\n  12 [size=\"30875648\", alpha=\"0.16\", expect_size=\"15437824\"] \n  12 -> 25 [size =\"15437824\"]\n  12 -> 27 [size =\"15437824\"]\n  12 -> 29 [size =\"15437824\"]\n  13 [size=\"17733632\", alpha=\"0.14\", expect_size=\"8866816\"] \n  13 -> 20 [size =\"8866816\"]\n  13 -> 21 [size =\"8866816\"]\n  14 [size=\"28950528\", alpha=\"0.17\", expect_size=\"14475264\"] \n  14 -> 19 [size =\"14475264\"]\n  14 -> 20 [size =\"14475264\"]\n  15 [size=\"44898304\", alpha=\"0.01\", expect_size=\"22449152\"] \n  15 -> 24 [size =\"22449152\"]\n  15 -> 25 [size =\"22449152\"]\n  16 [size=\"61806592\", alpha=\"0.06\", expect_size=\"30903296\"] \n  16 -> 18 [size =\"30903296\"]\n  16 -> 24 [size =\"30903296\"]\n  16 -> 25 [size =\"30903296\"]\n  16 -> 29 [size =\"30903296\"]\n  17 [size=\"46757888\", alpha=\"0.20\", expect_size=\"23378944\"] \n  17 -> 24 [size =\"23378944\"]\n  17 -> 28 [size =\"23378944\"]\n  18 [size=\"86597632\", alpha=\"0.04\", expect_size=\"43298816\"] \n  19 [size=\"100349952\", alpha=\"0.13\", expect_size=\"50174976\"] \n  20 [size=\"35981312\", alpha=\"0.11\", expect_size=\"17990656\"] \n  21 [size=\"97761280\", alpha=\"0.14\", expect_size=\"48880640\"] \n  22 [size=\"49133568\", alpha=\"0.11\", expect_size=\"24566784\"] \n  23 [size=\"31424512\", alpha=\"0.10\", expect_size=\"15712256\"] \n  24 [size=\"96450560\", alpha=\"0.03\", expect_size=\"48225280\"] \n  25 [size=\"83742720\", alpha=\"0.07\", expect_size=\"41871360\"] \n  26 [size=\"90347520\", alpha=\"0.09\", expect_size=\"45173760\"] \n  27 [size=\"23523328\", alpha=\"0.09\", expect_size=\"11761664\"] \n  28 [size=\"22347776\", alpha=\"0.12\", expect_size=\"11173888\"] \n  29 [size=\"42838016\", alpha=\"0.18\", expect_size=\"21419008\"] \n  30 [size=\"102207488\", alpha=\"0.04\", expect_size=\"51103744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66219520\", alpha=\"0.01\", expect_size=\"26487808\"] \n  2 [size=\"88273920\", alpha=\"0.10\", expect_size=\"35309568\"] \n  2 -> 7 [size =\"35309568\"]\n  3 [size=\"45184000\", alpha=\"0.12\", expect_size=\"18073600\"] \n  3 -> 9 [size =\"18073600\"]\n  4 [size=\"18022400\", alpha=\"0.12\", expect_size=\"7208960\"] \n  4 -> 6 [size =\"7208960\"]\n  4 -> 8 [size =\"7208960\"]\n  4 -> 9 [size =\"7208960\"]\n  5 [size=\"91361280\", alpha=\"0.16\", expect_size=\"36544512\"] \n  5 -> 8 [size =\"36544512\"]\n  5 -> 9 [size =\"36544512\"]\n  6 [size=\"51645440\", alpha=\"0.14\", expect_size=\"20658176\"] \n  7 [size=\"25241600\", alpha=\"0.16\", expect_size=\"10096640\"] \n  7 -> 10 [size =\"10096640\"]\n  7 -> 11 [size =\"10096640\"]\n  7 -> 13 [size =\"10096640\"]\n  8 [size=\"72199680\", alpha=\"0.03\", expect_size=\"28879872\"] \n  8 -> 11 [size =\"28879872\"]\n  8 -> 12 [size =\"28879872\"]\n  9 [size=\"19420160\", alpha=\"0.19\", expect_size=\"7768064\"] \n  9 -> 10 [size =\"7768064\"]\n  9 -> 13 [size =\"7768064\"]\n  9 -> 14 [size =\"7768064\"]\n  10 [size=\"74754560\", alpha=\"0.12\", expect_size=\"29901824\"] \n  10 -> 18 [size =\"29901824\"]\n  11 [size=\"80414720\", alpha=\"0.16\", expect_size=\"32165888\"] \n  11 -> 15 [size =\"32165888\"]\n  12 [size=\"85588480\", alpha=\"0.17\", expect_size=\"34235392\"] \n  13 [size=\"23777280\", alpha=\"0.18\", expect_size=\"9510912\"] \n  13 -> 16 [size =\"9510912\"]\n  13 -> 18 [size =\"9510912\"]\n  14 [size=\"96942080\", alpha=\"0.16\", expect_size=\"38776832\"] \n  14 -> 17 [size =\"38776832\"]\n  15 [size=\"50193920\", alpha=\"0.17\", expect_size=\"20077568\"] \n  15 -> 19 [size =\"20077568\"]\n  15 -> 20 [size =\"20077568\"]\n  16 [size=\"26398720\", alpha=\"0.04\", expect_size=\"10559488\"] \n  16 -> 21 [size =\"10559488\"]\n  16 -> 22 [size =\"10559488\"]\n  17 [size=\"106798080\", alpha=\"0.16\", expect_size=\"42719232\"] \n  17 -> 19 [size =\"42719232\"]\n  17 -> 20 [size =\"42719232\"]\n  18 [size=\"82503680\", alpha=\"0.08\", expect_size=\"33001472\"] \n  18 -> 21 [size =\"33001472\"]\n  19 [size=\"102141440\", alpha=\"0.02\", expect_size=\"40856576\"] \n  19 -> 27 [size =\"40856576\"]\n  20 [size=\"96512000\", alpha=\"0.03\", expect_size=\"38604800\"] \n  20 -> 24 [size =\"38604800\"]\n  21 [size=\"52060160\", alpha=\"0.12\", expect_size=\"20824064\"] \n  21 -> 23 [size =\"20824064\"]\n  21 -> 24 [size =\"20824064\"]\n  21 -> 25 [size =\"20824064\"]\n  22 [size=\"29038080\", alpha=\"0.15\", expect_size=\"11615232\"] \n  22 -> 23 [size =\"11615232\"]\n  22 -> 26 [size =\"11615232\"]\n  22 -> 27 [size =\"11615232\"]\n  23 [size=\"126904320\", alpha=\"0.02\", expect_size=\"50761728\"] \n  23 -> 28 [size =\"50761728\"]\n  23 -> 30 [size =\"50761728\"]\n  24 [size=\"114882560\", alpha=\"0.11\", expect_size=\"45953024\"] \n  25 [size=\"88478720\", alpha=\"0.13\", expect_size=\"35391488\"] \n  26 [size=\"70735360\", alpha=\"0.01\", expect_size=\"28294144\"] \n  26 -> 29 [size =\"28294144\"]\n  26 -> 30 [size =\"28294144\"]\n  27 [size=\"94433280\", alpha=\"0.12\", expect_size=\"37773312\"] \n  27 -> 28 [size =\"37773312\"]\n  28 [size=\"72074240\", alpha=\"0.12\", expect_size=\"28829696\"] \n  29 [size=\"116789760\", alpha=\"0.14\", expect_size=\"46715904\"] \n  30 [size=\"129333760\", alpha=\"0.06\", expect_size=\"51733504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173540693\", alpha=\"0.08\", expect_size=\"52062208\"] \n  1 -> 3 [size =\"52062208\"]\n  1 -> 4 [size =\"52062208\"]\n  2 [size=\"133672960\", alpha=\"0.03\", expect_size=\"40101888\"] \n  2 -> 3 [size =\"40101888\"]\n  2 -> 4 [size =\"40101888\"]\n  3 [size=\"28395520\", alpha=\"0.04\", expect_size=\"8518656\"] \n  3 -> 5 [size =\"8518656\"]\n  3 -> 6 [size =\"8518656\"]\n  4 [size=\"126897493\", alpha=\"0.18\", expect_size=\"38069248\"] \n  4 -> 6 [size =\"38069248\"]\n  5 [size=\"90931200\", alpha=\"0.16\", expect_size=\"27279360\"] \n  5 -> 7 [size =\"27279360\"]\n  5 -> 8 [size =\"27279360\"]\n  6 [size=\"29839360\", alpha=\"0.18\", expect_size=\"8951808\"] \n  6 -> 7 [size =\"8951808\"]\n  6 -> 8 [size =\"8951808\"]\n  7 [size=\"72727893\", alpha=\"0.04\", expect_size=\"21818368\"] \n  7 -> 9 [size =\"21818368\"]\n  7 -> 10 [size =\"21818368\"]\n  8 [size=\"28091733\", alpha=\"0.01\", expect_size=\"8427520\"] \n  8 -> 9 [size =\"8427520\"]\n  8 -> 10 [size =\"8427520\"]\n  9 [size=\"72461653\", alpha=\"0.02\", expect_size=\"21738496\"] \n  9 -> 11 [size =\"21738496\"]\n  10 [size=\"79284907\", alpha=\"0.00\", expect_size=\"23785472\"] \n  10 -> 11 [size =\"23785472\"]\n  11 [size=\"78434987\", alpha=\"0.05\", expect_size=\"23530496\"] \n  11 -> 12 [size =\"23530496\"]\n  12 [size=\"143206400\", alpha=\"0.17\", expect_size=\"42961920\"] \n  12 -> 13 [size =\"42961920\"]\n  12 -> 14 [size =\"42961920\"]\n  13 [size=\"166236160\", alpha=\"0.07\", expect_size=\"49870848\"] \n  13 -> 15 [size =\"49870848\"]\n  14 [size=\"39048533\", alpha=\"0.11\", expect_size=\"11714560\"] \n  14 -> 15 [size =\"11714560\"]\n  15 [size=\"24180053\", alpha=\"0.15\", expect_size=\"7254016\"] \n  15 -> 16 [size =\"7254016\"]\n  15 -> 17 [size =\"7254016\"]\n  16 [size=\"149575680\", alpha=\"0.12\", expect_size=\"44872704\"] \n  16 -> 18 [size =\"44872704\"]\n  17 [size=\"135495680\", alpha=\"0.00\", expect_size=\"40648704\"] \n  18 [size=\"167570773\", alpha=\"0.11\", expect_size=\"50271232\"] \n  18 -> 19 [size =\"50271232\"]\n  18 -> 20 [size =\"50271232\"]\n  19 [size=\"18691413\", alpha=\"0.00\", expect_size=\"5607424\"] \n  19 -> 21 [size =\"5607424\"]\n  20 [size=\"35406507\", alpha=\"0.17\", expect_size=\"10621952\"] \n  20 -> 21 [size =\"10621952\"]\n  21 [size=\"37645653\", alpha=\"0.14\", expect_size=\"11293696\"] \n  21 -> 22 [size =\"11293696\"]\n  21 -> 23 [size =\"11293696\"]\n  22 [size=\"74472107\", alpha=\"0.05\", expect_size=\"22341632\"] \n  22 -> 24 [size =\"22341632\"]\n  23 [size=\"47714987\", alpha=\"0.18\", expect_size=\"14314496\"] \n  23 -> 24 [size =\"14314496\"]\n  24 [size=\"104625493\", alpha=\"0.05\", expect_size=\"31387648\"] \n  24 -> 25 [size =\"31387648\"]\n  25 [size=\"35717120\", alpha=\"0.01\", expect_size=\"10715136\"] \n  25 -> 26 [size =\"10715136\"]\n  26 [size=\"153344000\", alpha=\"0.19\", expect_size=\"46003200\"] \n  26 -> 27 [size =\"46003200\"]\n  26 -> 28 [size =\"46003200\"]\n  27 [size=\"91429547\", alpha=\"0.04\", expect_size=\"27428864\"] \n  27 -> 30 [size =\"27428864\"]\n  28 [size=\"92542293\", alpha=\"0.10\", expect_size=\"27762688\"] \n  28 -> 29 [size =\"27762688\"]\n  29 [size=\"24360960\", alpha=\"0.03\", expect_size=\"7308288\"] \n  30 [size=\"25091413\", alpha=\"0.04\", expect_size=\"7527424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22360064\", alpha=\"0.02\", expect_size=\"11180032\"] \n  1 -> 2 [size =\"11180032\"]\n  2 [size=\"69105664\", alpha=\"0.13\", expect_size=\"34552832\"] \n  2 -> 3 [size =\"34552832\"]\n  3 [size=\"26906624\", alpha=\"0.06\", expect_size=\"13453312\"] \n  3 -> 4 [size =\"13453312\"]\n  4 [size=\"17651712\", alpha=\"0.09\", expect_size=\"8825856\"] \n  4 -> 5 [size =\"8825856\"]\n  5 [size=\"80902144\", alpha=\"0.09\", expect_size=\"40451072\"] \n  5 -> 6 [size =\"40451072\"]\n  6 [size=\"36753408\", alpha=\"0.04\", expect_size=\"18376704\"] \n  6 -> 7 [size =\"18376704\"]\n  7 [size=\"30306304\", alpha=\"0.10\", expect_size=\"15153152\"] \n  7 -> 8 [size =\"15153152\"]\n  8 [size=\"64139264\", alpha=\"0.13\", expect_size=\"32069632\"] \n  8 -> 9 [size =\"32069632\"]\n  9 [size=\"48121856\", alpha=\"0.13\", expect_size=\"24060928\"] \n  9 -> 10 [size =\"24060928\"]\n  10 [size=\"42618880\", alpha=\"0.10\", expect_size=\"21309440\"] \n  10 -> 11 [size =\"21309440\"]\n  11 [size=\"25188352\", alpha=\"0.07\", expect_size=\"12594176\"] \n  11 -> 12 [size =\"12594176\"]\n  12 [size=\"36898816\", alpha=\"0.09\", expect_size=\"18449408\"] \n  12 -> 13 [size =\"18449408\"]\n  13 [size=\"99233792\", alpha=\"0.01\", expect_size=\"49616896\"] \n  13 -> 14 [size =\"49616896\"]\n  14 [size=\"32016384\", alpha=\"0.20\", expect_size=\"16008192\"] \n  14 -> 15 [size =\"16008192\"]\n  15 [size=\"75343872\", alpha=\"0.01\", expect_size=\"37671936\"] \n  15 -> 16 [size =\"37671936\"]\n  16 [size=\"21905408\", alpha=\"0.01\", expect_size=\"10952704\"] \n  16 -> 17 [size =\"10952704\"]\n  17 [size=\"40472576\", alpha=\"0.08\", expect_size=\"20236288\"] \n  17 -> 18 [size =\"20236288\"]\n  18 [size=\"87803904\", alpha=\"0.16\", expect_size=\"43901952\"] \n  18 -> 19 [size =\"43901952\"]\n  19 [size=\"53135360\", alpha=\"0.06\", expect_size=\"26567680\"] \n  19 -> 20 [size =\"26567680\"]\n  20 [size=\"19615744\", alpha=\"0.17\", expect_size=\"9807872\"] \n  20 -> 21 [size =\"9807872\"]\n  21 [size=\"67440640\", alpha=\"0.10\", expect_size=\"33720320\"] \n  21 -> 22 [size =\"33720320\"]\n  22 [size=\"100784128\", alpha=\"0.16\", expect_size=\"50392064\"] \n  22 -> 23 [size =\"50392064\"]\n  23 [size=\"48666624\", alpha=\"0.06\", expect_size=\"24333312\"] \n  23 -> 24 [size =\"24333312\"]\n  24 [size=\"51718144\", alpha=\"0.17\", expect_size=\"25859072\"] \n  24 -> 25 [size =\"25859072\"]\n  25 [size=\"51470336\", alpha=\"0.03\", expect_size=\"25735168\"] \n  25 -> 26 [size =\"25735168\"]\n  26 [size=\"55369728\", alpha=\"0.14\", expect_size=\"27684864\"] \n  26 -> 27 [size =\"27684864\"]\n  27 [size=\"59273216\", alpha=\"0.10\", expect_size=\"29636608\"] \n  27 -> 28 [size =\"29636608\"]\n  28 [size=\"98453504\", alpha=\"0.17\", expect_size=\"49226752\"] \n  28 -> 29 [size =\"49226752\"]\n  29 [size=\"79685632\", alpha=\"0.12\", expect_size=\"39842816\"] \n  29 -> 30 [size =\"39842816\"]\n  30 [size=\"12068864\", alpha=\"0.14\", expect_size=\"6034432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75395072\", alpha=\"0.01\", expect_size=\"37697536\"] \n  1 -> 28 [size =\"37697536\"]\n  1 -> 29 [size =\"37697536\"]\n  2 [size=\"85102592\", alpha=\"0.18\", expect_size=\"42551296\"] \n  2 -> 23 [size =\"42551296\"]\n  2 -> 25 [size =\"42551296\"]\n  2 -> 27 [size =\"42551296\"]\n  2 -> 28 [size =\"42551296\"]\n  3 [size=\"84000768\", alpha=\"0.06\", expect_size=\"42000384\"] \n  3 -> 23 [size =\"42000384\"]\n  3 -> 25 [size =\"42000384\"]\n  3 -> 27 [size =\"42000384\"]\n  3 -> 28 [size =\"42000384\"]\n  3 -> 29 [size =\"42000384\"]\n  4 [size=\"32036864\", alpha=\"0.10\", expect_size=\"16018432\"] \n  4 -> 23 [size =\"16018432\"]\n  4 -> 24 [size =\"16018432\"]\n  4 -> 25 [size =\"16018432\"]\n  4 -> 27 [size =\"16018432\"]\n  4 -> 28 [size =\"16018432\"]\n  5 [size=\"33591296\", alpha=\"0.09\", expect_size=\"16795648\"] \n  5 -> 22 [size =\"16795648\"]\n  5 -> 23 [size =\"16795648\"]\n  5 -> 24 [size =\"16795648\"]\n  5 -> 27 [size =\"16795648\"]\n  6 [size=\"83984384\", alpha=\"0.18\", expect_size=\"41992192\"] \n  6 -> 22 [size =\"41992192\"]\n  6 -> 23 [size =\"41992192\"]\n  6 -> 24 [size =\"41992192\"]\n  6 -> 25 [size =\"41992192\"]\n  6 -> 27 [size =\"41992192\"]\n  7 [size=\"69595136\", alpha=\"0.12\", expect_size=\"34797568\"] \n  7 -> 22 [size =\"34797568\"]\n  7 -> 23 [size =\"34797568\"]\n  7 -> 24 [size =\"34797568\"]\n  7 -> 25 [size =\"34797568\"]\n  7 -> 27 [size =\"34797568\"]\n  7 -> 28 [size =\"34797568\"]\n  8 [size=\"26679296\", alpha=\"0.05\", expect_size=\"13339648\"] \n  8 -> 23 [size =\"13339648\"]\n  8 -> 24 [size =\"13339648\"]\n  8 -> 24 [size =\"13339648\"]\n  8 -> 25 [size =\"13339648\"]\n  8 -> 26 [size =\"13339648\"]\n  8 -> 27 [size =\"13339648\"]\n  9 [size=\"94566400\", alpha=\"0.09\", expect_size=\"47283200\"] \n  9 -> 24 [size =\"47283200\"]\n  9 -> 25 [size =\"47283200\"]\n  9 -> 26 [size =\"47283200\"]\n  9 -> 27 [size =\"47283200\"]\n  9 -> 28 [size =\"47283200\"]\n  9 -> 29 [size =\"47283200\"]\n  10 [size=\"56496128\", alpha=\"0.02\", expect_size=\"28248064\"] \n  10 -> 22 [size =\"28248064\"]\n  10 -> 23 [size =\"28248064\"]\n  10 -> 24 [size =\"28248064\"]\n  10 -> 25 [size =\"28248064\"]\n  10 -> 26 [size =\"28248064\"]\n  10 -> 27 [size =\"28248064\"]\n  11 [size=\"65146880\", alpha=\"0.02\", expect_size=\"32573440\"] \n  11 -> 22 [size =\"32573440\"]\n  11 -> 23 [size =\"32573440\"]\n  11 -> 24 [size =\"32573440\"]\n  11 -> 25 [size =\"32573440\"]\n  11 -> 27 [size =\"32573440\"]\n  11 -> 27 [size =\"32573440\"]\n  12 [size=\"70381568\", alpha=\"0.06\", expect_size=\"35190784\"] \n  12 -> 22 [size =\"35190784\"]\n  12 -> 24 [size =\"35190784\"]\n  12 -> 24 [size =\"35190784\"]\n  12 -> 25 [size =\"35190784\"]\n  12 -> 26 [size =\"35190784\"]\n  12 -> 27 [size =\"35190784\"]\n  13 [size=\"58884096\", alpha=\"0.06\", expect_size=\"29442048\"] \n  13 -> 22 [size =\"29442048\"]\n  13 -> 23 [size =\"29442048\"]\n  13 -> 24 [size =\"29442048\"]\n  13 -> 25 [size =\"29442048\"]\n  14 [size=\"89546752\", alpha=\"0.20\", expect_size=\"44773376\"] \n  14 -> 22 [size =\"44773376\"]\n  14 -> 25 [size =\"44773376\"]\n  15 [size=\"40951808\", alpha=\"0.13\", expect_size=\"20475904\"] \n  15 -> 22 [size =\"20475904\"]\n  15 -> 23 [size =\"20475904\"]\n  15 -> 25 [size =\"20475904\"]\n  15 -> 26 [size =\"20475904\"]\n  15 -> 27 [size =\"20475904\"]\n  16 [size=\"81377280\", alpha=\"0.00\", expect_size=\"40688640\"] \n  16 -> 22 [size =\"40688640\"]\n  16 -> 23 [size =\"40688640\"]\n  16 -> 25 [size =\"40688640\"]\n  16 -> 26 [size =\"40688640\"]\n  16 -> 28 [size =\"40688640\"]\n  16 -> 29 [size =\"40688640\"]\n  16 -> 30 [size =\"40688640\"]\n  17 [size=\"72605696\", alpha=\"0.03\", expect_size=\"36302848\"] \n  17 -> 22 [size =\"36302848\"]\n  17 -> 23 [size =\"36302848\"]\n  17 -> 24 [size =\"36302848\"]\n  17 -> 25 [size =\"36302848\"]\n  17 -> 28 [size =\"36302848\"]\n  17 -> 29 [size =\"36302848\"]\n  18 [size=\"33075200\", alpha=\"0.10\", expect_size=\"16537600\"] \n  18 -> 22 [size =\"16537600\"]\n  18 -> 23 [size =\"16537600\"]\n  18 -> 24 [size =\"16537600\"]\n  18 -> 25 [size =\"16537600\"]\n  19 [size=\"57903104\", alpha=\"0.08\", expect_size=\"28951552\"] \n  19 -> 23 [size =\"28951552\"]\n  19 -> 24 [size =\"28951552\"]\n  19 -> 25 [size =\"28951552\"]\n  19 -> 25 [size =\"28951552\"]\n  19 -> 27 [size =\"28951552\"]\n  19 -> 28 [size =\"28951552\"]\n  19 -> 29 [size =\"28951552\"]\n  19 -> 30 [size =\"28951552\"]\n  20 [size=\"98922496\", alpha=\"0.07\", expect_size=\"49461248\"] \n  20 -> 27 [size =\"49461248\"]\n  20 -> 28 [size =\"49461248\"]\n  20 -> 29 [size =\"49461248\"]\n  21 [size=\"15958016\", alpha=\"0.19\", expect_size=\"7979008\"] \n  21 -> 22 [size =\"7979008\"]\n  21 -> 23 [size =\"7979008\"]\n  21 -> 25 [size =\"7979008\"]\n  22 [size=\"24551424\", alpha=\"0.08\", expect_size=\"12275712\"] \n  23 [size=\"51085312\", alpha=\"0.11\", expect_size=\"25542656\"] \n  24 [size=\"79808512\", alpha=\"0.20\", expect_size=\"39904256\"] \n  25 [size=\"79587328\", alpha=\"0.13\", expect_size=\"39793664\"] \n  26 [size=\"45262848\", alpha=\"0.02\", expect_size=\"22631424\"] \n  27 [size=\"46039040\", alpha=\"0.03\", expect_size=\"23019520\"] \n  28 [size=\"60960768\", alpha=\"0.08\", expect_size=\"30480384\"] \n  29 [size=\"11542528\", alpha=\"0.11\", expect_size=\"5771264\"] \n  30 [size=\"50012160\", alpha=\"0.03\", expect_size=\"25006080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130775040\", alpha=\"0.11\", expect_size=\"39232512\"] \n  2 [size=\"126610773\", alpha=\"0.18\", expect_size=\"37983232\"] \n  2 -> 6 [size =\"37983232\"]\n  2 -> 8 [size =\"37983232\"]\n  2 -> 9 [size =\"37983232\"]\n  3 [size=\"30419627\", alpha=\"0.08\", expect_size=\"9125888\"] \n  3 -> 6 [size =\"9125888\"]\n  4 [size=\"116715520\", alpha=\"0.05\", expect_size=\"35014656\"] \n  4 -> 6 [size =\"35014656\"]\n  4 -> 7 [size =\"35014656\"]\n  5 [size=\"117193387\", alpha=\"0.13\", expect_size=\"35158016\"] \n  6 [size=\"102898347\", alpha=\"0.01\", expect_size=\"30869504\"] \n  6 -> 10 [size =\"30869504\"]\n  6 -> 11 [size =\"30869504\"]\n  6 -> 13 [size =\"30869504\"]\n  7 [size=\"92689067\", alpha=\"0.19\", expect_size=\"27806720\"] \n  7 -> 12 [size =\"27806720\"]\n  7 -> 13 [size =\"27806720\"]\n  8 [size=\"104854187\", alpha=\"0.07\", expect_size=\"31456256\"] \n  8 -> 10 [size =\"31456256\"]\n  8 -> 11 [size =\"31456256\"]\n  8 -> 12 [size =\"31456256\"]\n  8 -> 13 [size =\"31456256\"]\n  9 [size=\"58088107\", alpha=\"0.19\", expect_size=\"17426432\"] \n  9 -> 10 [size =\"17426432\"]\n  9 -> 12 [size =\"17426432\"]\n  9 -> 14 [size =\"17426432\"]\n  10 [size=\"119367680\", alpha=\"0.09\", expect_size=\"35810304\"] \n  11 [size=\"153036800\", alpha=\"0.20\", expect_size=\"45911040\"] \n  11 -> 15 [size =\"45911040\"]\n  11 -> 16 [size =\"45911040\"]\n  12 [size=\"82571947\", alpha=\"0.10\", expect_size=\"24771584\"] \n  12 -> 16 [size =\"24771584\"]\n  12 -> 18 [size =\"24771584\"]\n  13 [size=\"64358400\", alpha=\"0.00\", expect_size=\"19307520\"] \n  14 [size=\"123917653\", alpha=\"0.09\", expect_size=\"37175296\"] \n  14 -> 15 [size =\"37175296\"]\n  14 -> 17 [size =\"37175296\"]\n  15 [size=\"165488640\", alpha=\"0.20\", expect_size=\"49646592\"] \n  15 -> 19 [size =\"49646592\"]\n  15 -> 20 [size =\"49646592\"]\n  15 -> 21 [size =\"49646592\"]\n  15 -> 23 [size =\"49646592\"]\n  16 [size=\"106612053\", alpha=\"0.11\", expect_size=\"31983616\"] \n  16 -> 20 [size =\"31983616\"]\n  16 -> 22 [size =\"31983616\"]\n  16 -> 23 [size =\"31983616\"]\n  17 [size=\"116360533\", alpha=\"0.19\", expect_size=\"34908160\"] \n  17 -> 19 [size =\"34908160\"]\n  17 -> 20 [size =\"34908160\"]\n  17 -> 22 [size =\"34908160\"]\n  18 [size=\"111776427\", alpha=\"0.18\", expect_size=\"33532928\"] \n  18 -> 21 [size =\"33532928\"]\n  18 -> 22 [size =\"33532928\"]\n  18 -> 23 [size =\"33532928\"]\n  19 [size=\"169570987\", alpha=\"0.20\", expect_size=\"50871296\"] \n  19 -> 24 [size =\"50871296\"]\n  19 -> 25 [size =\"50871296\"]\n  19 -> 26 [size =\"50871296\"]\n  20 [size=\"164891307\", alpha=\"0.20\", expect_size=\"49467392\"] \n  20 -> 24 [size =\"49467392\"]\n  20 -> 25 [size =\"49467392\"]\n  20 -> 26 [size =\"49467392\"]\n  20 -> 27 [size =\"49467392\"]\n  21 [size=\"81117867\", alpha=\"0.14\", expect_size=\"24335360\"] \n  21 -> 26 [size =\"24335360\"]\n  21 -> 27 [size =\"24335360\"]\n  22 [size=\"78527147\", alpha=\"0.02\", expect_size=\"23558144\"] \n  22 -> 27 [size =\"23558144\"]\n  23 [size=\"154265600\", alpha=\"0.12\", expect_size=\"46279680\"] \n  23 -> 24 [size =\"46279680\"]\n  23 -> 26 [size =\"46279680\"]\n  24 [size=\"154545493\", alpha=\"0.15\", expect_size=\"46363648\"] \n  24 -> 28 [size =\"46363648\"]\n  24 -> 29 [size =\"46363648\"]\n  24 -> 30 [size =\"46363648\"]\n  25 [size=\"70847147\", alpha=\"0.10\", expect_size=\"21254144\"] \n  25 -> 28 [size =\"21254144\"]\n  25 -> 29 [size =\"21254144\"]\n  25 -> 30 [size =\"21254144\"]\n  26 [size=\"67420160\", alpha=\"0.16\", expect_size=\"20226048\"] \n  26 -> 28 [size =\"20226048\"]\n  26 -> 29 [size =\"20226048\"]\n  26 -> 30 [size =\"20226048\"]\n  27 [size=\"155385173\", alpha=\"0.12\", expect_size=\"46615552\"] \n  27 -> 28 [size =\"46615552\"]\n  27 -> 29 [size =\"46615552\"]\n  27 -> 30 [size =\"46615552\"]\n  28 [size=\"144489813\", alpha=\"0.18\", expect_size=\"43346944\"] \n  29 [size=\"126539093\", alpha=\"0.10\", expect_size=\"37961728\"] \n  30 [size=\"123122347\", alpha=\"0.15\", expect_size=\"36936704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17098240\", alpha=\"0.09\", expect_size=\"6839296\"] \n  1 -> 10 [size =\"6839296\"]\n  1 -> 11 [size =\"6839296\"]\n  1 -> 13 [size =\"6839296\"]\n  1 -> 14 [size =\"6839296\"]\n  1 -> 15 [size =\"6839296\"]\n  1 -> 20 [size =\"6839296\"]\n  1 -> 21 [size =\"6839296\"]\n  2 [size=\"65123840\", alpha=\"0.13\", expect_size=\"26049536\"] \n  2 -> 12 [size =\"26049536\"]\n  2 -> 13 [size =\"26049536\"]\n  2 -> 20 [size =\"26049536\"]\n  3 [size=\"98890240\", alpha=\"0.07\", expect_size=\"39556096\"] \n  3 -> 12 [size =\"39556096\"]\n  3 -> 15 [size =\"39556096\"]\n  3 -> 18 [size =\"39556096\"]\n  3 -> 20 [size =\"39556096\"]\n  3 -> 21 [size =\"39556096\"]\n  4 [size=\"35978240\", alpha=\"0.10\", expect_size=\"14391296\"] \n  4 -> 10 [size =\"14391296\"]\n  4 -> 15 [size =\"14391296\"]\n  4 -> 17 [size =\"14391296\"]\n  4 -> 18 [size =\"14391296\"]\n  5 [size=\"49249280\", alpha=\"0.00\", expect_size=\"19699712\"] \n  5 -> 14 [size =\"19699712\"]\n  5 -> 15 [size =\"19699712\"]\n  5 -> 17 [size =\"19699712\"]\n  5 -> 20 [size =\"19699712\"]\n  5 -> 21 [size =\"19699712\"]\n  6 [size=\"32094720\", alpha=\"0.03\", expect_size=\"12837888\"] \n  6 -> 12 [size =\"12837888\"]\n  6 -> 20 [size =\"12837888\"]\n  6 -> 21 [size =\"12837888\"]\n  7 [size=\"42176000\", alpha=\"0.17\", expect_size=\"16870400\"] \n  7 -> 11 [size =\"16870400\"]\n  7 -> 14 [size =\"16870400\"]\n  7 -> 15 [size =\"16870400\"]\n  7 -> 16 [size =\"16870400\"]\n  8 [size=\"17338880\", alpha=\"0.16\", expect_size=\"6935552\"] \n  8 -> 11 [size =\"6935552\"]\n  9 [size=\"116840960\", alpha=\"0.02\", expect_size=\"46736384\"] \n  9 -> 10 [size =\"46736384\"]\n  9 -> 11 [size =\"46736384\"]\n  9 -> 12 [size =\"46736384\"]\n  9 -> 13 [size =\"46736384\"]\n  9 -> 16 [size =\"46736384\"]\n  9 -> 19 [size =\"46736384\"]\n  9 -> 21 [size =\"46736384\"]\n  10 [size=\"86279680\", alpha=\"0.01\", expect_size=\"34511872\"] \n  10 -> 22 [size =\"34511872\"]\n  10 -> 23 [size =\"34511872\"]\n  10 -> 25 [size =\"34511872\"]\n  11 [size=\"52290560\", alpha=\"0.17\", expect_size=\"20916224\"] \n  11 -> 24 [size =\"20916224\"]\n  11 -> 25 [size =\"20916224\"]\n  11 -> 28 [size =\"20916224\"]\n  12 [size=\"104576000\", alpha=\"0.03\", expect_size=\"41830400\"] \n  13 [size=\"61207040\", alpha=\"0.08\", expect_size=\"24482816\"] \n  13 -> 26 [size =\"24482816\"]\n  13 -> 29 [size =\"24482816\"]\n  14 [size=\"99891200\", alpha=\"0.11\", expect_size=\"39956480\"] \n  14 -> 22 [size =\"39956480\"]\n  14 -> 24 [size =\"39956480\"]\n  14 -> 27 [size =\"39956480\"]\n  14 -> 29 [size =\"39956480\"]\n  15 [size=\"42168320\", alpha=\"0.11\", expect_size=\"16867328\"] \n  15 -> 28 [size =\"16867328\"]\n  16 [size=\"42539520\", alpha=\"0.11\", expect_size=\"17015808\"] \n  17 [size=\"62008320\", alpha=\"0.20\", expect_size=\"24803328\"] \n  17 -> 22 [size =\"24803328\"]\n  17 -> 24 [size =\"24803328\"]\n  17 -> 29 [size =\"24803328\"]\n  17 -> 30 [size =\"24803328\"]\n  18 [size=\"42549760\", alpha=\"0.19\", expect_size=\"17019904\"] \n  18 -> 22 [size =\"17019904\"]\n  18 -> 27 [size =\"17019904\"]\n  18 -> 28 [size =\"17019904\"]\n  18 -> 29 [size =\"17019904\"]\n  19 [size=\"19527680\", alpha=\"0.14\", expect_size=\"7811072\"] \n  19 -> 25 [size =\"7811072\"]\n  19 -> 30 [size =\"7811072\"]\n  20 [size=\"31226880\", alpha=\"0.18\", expect_size=\"12490752\"] \n  20 -> 26 [size =\"12490752\"]\n  20 -> 30 [size =\"12490752\"]\n  21 [size=\"38950400\", alpha=\"0.02\", expect_size=\"15580160\"] \n  21 -> 25 [size =\"15580160\"]\n  21 -> 26 [size =\"15580160\"]\n  21 -> 28 [size =\"15580160\"]\n  21 -> 29 [size =\"15580160\"]\n  22 [size=\"20577280\", alpha=\"0.15\", expect_size=\"8230912\"] \n  23 [size=\"39313920\", alpha=\"0.03\", expect_size=\"15725568\"] \n  24 [size=\"83755520\", alpha=\"0.14\", expect_size=\"33502208\"] \n  25 [size=\"32880640\", alpha=\"0.12\", expect_size=\"13152256\"] \n  26 [size=\"100157440\", alpha=\"0.13\", expect_size=\"40062976\"] \n  27 [size=\"45537280\", alpha=\"0.18\", expect_size=\"18214912\"] \n  28 [size=\"45143040\", alpha=\"0.05\", expect_size=\"18057216\"] \n  29 [size=\"38853120\", alpha=\"0.09\", expect_size=\"15541248\"] \n  30 [size=\"121820160\", alpha=\"0.05\", expect_size=\"48728064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72072533\", alpha=\"0.01\", expect_size=\"21621760\"] \n  1 -> 3 [size =\"21621760\"]\n  1 -> 4 [size =\"21621760\"]\n  2 [size=\"172513280\", alpha=\"0.04\", expect_size=\"51753984\"] \n  2 -> 3 [size =\"51753984\"]\n  2 -> 4 [size =\"51753984\"]\n  3 [size=\"136864427\", alpha=\"0.04\", expect_size=\"41059328\"] \n  3 -> 5 [size =\"41059328\"]\n  4 [size=\"149377707\", alpha=\"0.00\", expect_size=\"44813312\"] \n  4 -> 5 [size =\"44813312\"]\n  5 [size=\"41509547\", alpha=\"0.13\", expect_size=\"12452864\"] \n  5 -> 6 [size =\"12452864\"]\n  6 [size=\"22835200\", alpha=\"0.01\", expect_size=\"6850560\"] \n  6 -> 7 [size =\"6850560\"]\n  6 -> 8 [size =\"6850560\"]\n  7 [size=\"139069440\", alpha=\"0.06\", expect_size=\"41720832\"] \n  7 -> 9 [size =\"41720832\"]\n  7 -> 10 [size =\"41720832\"]\n  8 [size=\"162116267\", alpha=\"0.11\", expect_size=\"48634880\"] \n  8 -> 9 [size =\"48634880\"]\n  8 -> 10 [size =\"48634880\"]\n  9 [size=\"81527467\", alpha=\"0.19\", expect_size=\"24458240\"] \n  9 -> 12 [size =\"24458240\"]\n  10 [size=\"163976533\", alpha=\"0.04\", expect_size=\"49192960\"] \n  10 -> 11 [size =\"49192960\"]\n  10 -> 12 [size =\"49192960\"]\n  11 [size=\"132648960\", alpha=\"0.01\", expect_size=\"39794688\"] \n  11 -> 13 [size =\"39794688\"]\n  12 [size=\"143124480\", alpha=\"0.09\", expect_size=\"42937344\"] \n  12 -> 13 [size =\"42937344\"]\n  13 [size=\"19121493\", alpha=\"0.18\", expect_size=\"5736448\"] \n  13 -> 14 [size =\"5736448\"]\n  13 -> 15 [size =\"5736448\"]\n  14 [size=\"52415147\", alpha=\"0.19\", expect_size=\"15724544\"] \n  14 -> 16 [size =\"15724544\"]\n  14 -> 17 [size =\"15724544\"]\n  15 [size=\"52613120\", alpha=\"0.04\", expect_size=\"15783936\"] \n  16 [size=\"154009600\", alpha=\"0.02\", expect_size=\"46202880\"] \n  16 -> 18 [size =\"46202880\"]\n  17 [size=\"161143467\", alpha=\"0.18\", expect_size=\"48343040\"] \n  17 -> 18 [size =\"48343040\"]\n  18 [size=\"47503360\", alpha=\"0.03\", expect_size=\"14251008\"] \n  18 -> 19 [size =\"14251008\"]\n  19 [size=\"136772267\", alpha=\"0.13\", expect_size=\"41031680\"] \n  19 -> 20 [size =\"41031680\"]\n  20 [size=\"125125973\", alpha=\"0.04\", expect_size=\"37537792\"] \n  20 -> 21 [size =\"37537792\"]\n  21 [size=\"157972480\", alpha=\"0.02\", expect_size=\"47391744\"] \n  21 -> 22 [size =\"47391744\"]\n  22 [size=\"168250027\", alpha=\"0.20\", expect_size=\"50475008\"] \n  22 -> 23 [size =\"50475008\"]\n  23 [size=\"83899733\", alpha=\"0.12\", expect_size=\"25169920\"] \n  23 -> 24 [size =\"25169920\"]\n  24 [size=\"67119787\", alpha=\"0.02\", expect_size=\"20135936\"] \n  24 -> 25 [size =\"20135936\"]\n  24 -> 26 [size =\"20135936\"]\n  25 [size=\"60866560\", alpha=\"0.14\", expect_size=\"18259968\"] \n  25 -> 27 [size =\"18259968\"]\n  26 [size=\"92098560\", alpha=\"0.08\", expect_size=\"27629568\"] \n  26 -> 27 [size =\"27629568\"]\n  27 [size=\"107315200\", alpha=\"0.16\", expect_size=\"32194560\"] \n  27 -> 28 [size =\"32194560\"]\n  28 [size=\"89654613\", alpha=\"0.03\", expect_size=\"26896384\"] \n  28 -> 29 [size =\"26896384\"]\n  28 -> 30 [size =\"26896384\"]\n  29 [size=\"116493653\", alpha=\"0.19\", expect_size=\"34948096\"] \n  30 [size=\"65184427\", alpha=\"0.13\", expect_size=\"19555328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49424384\", alpha=\"0.00\", expect_size=\"24712192\"] \n  1 -> 28 [size =\"24712192\"]\n  1 -> 29 [size =\"24712192\"]\n  2 [size=\"40200192\", alpha=\"0.10\", expect_size=\"20100096\"] \n  2 -> 25 [size =\"20100096\"]\n  2 -> 28 [size =\"20100096\"]\n  2 -> 29 [size =\"20100096\"]\n  3 [size=\"42622976\", alpha=\"0.05\", expect_size=\"21311488\"] \n  3 -> 23 [size =\"21311488\"]\n  3 -> 29 [size =\"21311488\"]\n  4 [size=\"53823488\", alpha=\"0.18\", expect_size=\"26911744\"] \n  4 -> 24 [size =\"26911744\"]\n  4 -> 25 [size =\"26911744\"]\n  4 -> 29 [size =\"26911744\"]\n  5 [size=\"53686272\", alpha=\"0.14\", expect_size=\"26843136\"] \n  5 -> 25 [size =\"26843136\"]\n  5 -> 26 [size =\"26843136\"]\n  5 -> 29 [size =\"26843136\"]\n  6 [size=\"61194240\", alpha=\"0.02\", expect_size=\"30597120\"] \n  6 -> 25 [size =\"30597120\"]\n  6 -> 27 [size =\"30597120\"]\n  7 [size=\"98007040\", alpha=\"0.05\", expect_size=\"49003520\"] \n  7 -> 25 [size =\"49003520\"]\n  7 -> 27 [size =\"49003520\"]\n  7 -> 29 [size =\"49003520\"]\n  8 [size=\"37607424\", alpha=\"0.07\", expect_size=\"18803712\"] \n  8 -> 22 [size =\"18803712\"]\n  8 -> 28 [size =\"18803712\"]\n  8 -> 30 [size =\"18803712\"]\n  9 [size=\"20463616\", alpha=\"0.02\", expect_size=\"10231808\"] \n  9 -> 21 [size =\"10231808\"]\n  9 -> 22 [size =\"10231808\"]\n  9 -> 23 [size =\"10231808\"]\n  9 -> 26 [size =\"10231808\"]\n  9 -> 27 [size =\"10231808\"]\n  9 -> 28 [size =\"10231808\"]\n  10 [size=\"39663616\", alpha=\"0.09\", expect_size=\"19831808\"] \n  10 -> 23 [size =\"19831808\"]\n  10 -> 26 [size =\"19831808\"]\n  10 -> 27 [size =\"19831808\"]\n  10 -> 30 [size =\"19831808\"]\n  11 [size=\"50044928\", alpha=\"0.15\", expect_size=\"25022464\"] \n  11 -> 26 [size =\"25022464\"]\n  11 -> 26 [size =\"25022464\"]\n  11 -> 27 [size =\"25022464\"]\n  12 [size=\"50477056\", alpha=\"0.12\", expect_size=\"25238528\"] \n  12 -> 27 [size =\"25238528\"]\n  13 [size=\"96002048\", alpha=\"0.13\", expect_size=\"48001024\"] \n  13 -> 22 [size =\"48001024\"]\n  13 -> 29 [size =\"48001024\"]\n  14 [size=\"24377344\", alpha=\"0.19\", expect_size=\"12188672\"] \n  14 -> 22 [size =\"12188672\"]\n  14 -> 25 [size =\"12188672\"]\n  14 -> 26 [size =\"12188672\"]\n  14 -> 27 [size =\"12188672\"]\n  14 -> 30 [size =\"12188672\"]\n  15 [size=\"13189120\", alpha=\"0.11\", expect_size=\"6594560\"] \n  15 -> 23 [size =\"6594560\"]\n  15 -> 24 [size =\"6594560\"]\n  15 -> 26 [size =\"6594560\"]\n  15 -> 29 [size =\"6594560\"]\n  16 [size=\"79904768\", alpha=\"0.19\", expect_size=\"39952384\"] \n  16 -> 25 [size =\"39952384\"]\n  16 -> 28 [size =\"39952384\"]\n  16 -> 29 [size =\"39952384\"]\n  16 -> 29 [size =\"39952384\"]\n  17 [size=\"88285184\", alpha=\"0.18\", expect_size=\"44142592\"] \n  17 -> 26 [size =\"44142592\"]\n  17 -> 28 [size =\"44142592\"]\n  17 -> 29 [size =\"44142592\"]\n  18 [size=\"16627712\", alpha=\"0.16\", expect_size=\"8313856\"] \n  18 -> 23 [size =\"8313856\"]\n  18 -> 24 [size =\"8313856\"]\n  18 -> 25 [size =\"8313856\"]\n  18 -> 26 [size =\"8313856\"]\n  18 -> 27 [size =\"8313856\"]\n  18 -> 30 [size =\"8313856\"]\n  19 [size=\"47869952\", alpha=\"0.09\", expect_size=\"23934976\"] \n  19 -> 22 [size =\"23934976\"]\n  19 -> 24 [size =\"23934976\"]\n  20 [size=\"55730176\", alpha=\"0.19\", expect_size=\"27865088\"] \n  20 -> 24 [size =\"27865088\"]\n  20 -> 24 [size =\"27865088\"]\n  20 -> 26 [size =\"27865088\"]\n  20 -> 29 [size =\"27865088\"]\n  21 [size=\"96382976\", alpha=\"0.18\", expect_size=\"48191488\"] \n  22 [size=\"71329792\", alpha=\"0.04\", expect_size=\"35664896\"] \n  23 [size=\"34234368\", alpha=\"0.16\", expect_size=\"17117184\"] \n  24 [size=\"96303104\", alpha=\"0.17\", expect_size=\"48151552\"] \n  25 [size=\"90525696\", alpha=\"0.07\", expect_size=\"45262848\"] \n  26 [size=\"49205248\", alpha=\"0.08\", expect_size=\"24602624\"] \n  27 [size=\"46422016\", alpha=\"0.08\", expect_size=\"23211008\"] \n  28 [size=\"37316608\", alpha=\"0.13\", expect_size=\"18658304\"] \n  29 [size=\"20496384\", alpha=\"0.01\", expect_size=\"10248192\"] \n  30 [size=\"62042112\", alpha=\"0.15\", expect_size=\"31021056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125596160\", alpha=\"0.15\", expect_size=\"50238464\"] \n  1 -> 12 [size =\"50238464\"]\n  1 -> 17 [size =\"50238464\"]\n  1 -> 17 [size =\"50238464\"]\n  1 -> 20 [size =\"50238464\"]\n  2 [size=\"84602880\", alpha=\"0.09\", expect_size=\"33841152\"] \n  2 -> 14 [size =\"33841152\"]\n  2 -> 17 [size =\"33841152\"]\n  2 -> 18 [size =\"33841152\"]\n  2 -> 20 [size =\"33841152\"]\n  3 [size=\"40724480\", alpha=\"0.06\", expect_size=\"16289792\"] \n  3 -> 12 [size =\"16289792\"]\n  3 -> 14 [size =\"16289792\"]\n  3 -> 16 [size =\"16289792\"]\n  3 -> 18 [size =\"16289792\"]\n  3 -> 20 [size =\"16289792\"]\n  4 [size=\"24967680\", alpha=\"0.09\", expect_size=\"9987072\"] \n  4 -> 12 [size =\"9987072\"]\n  4 -> 13 [size =\"9987072\"]\n  4 -> 16 [size =\"9987072\"]\n  4 -> 17 [size =\"9987072\"]\n  4 -> 20 [size =\"9987072\"]\n  5 [size=\"20531200\", alpha=\"0.12\", expect_size=\"8212480\"] \n  5 -> 12 [size =\"8212480\"]\n  5 -> 14 [size =\"8212480\"]\n  5 -> 15 [size =\"8212480\"]\n  5 -> 16 [size =\"8212480\"]\n  5 -> 17 [size =\"8212480\"]\n  5 -> 20 [size =\"8212480\"]\n  6 [size=\"50757120\", alpha=\"0.02\", expect_size=\"20302848\"] \n  6 -> 12 [size =\"20302848\"]\n  6 -> 14 [size =\"20302848\"]\n  6 -> 15 [size =\"20302848\"]\n  6 -> 16 [size =\"20302848\"]\n  6 -> 18 [size =\"20302848\"]\n  6 -> 20 [size =\"20302848\"]\n  7 [size=\"21463040\", alpha=\"0.01\", expect_size=\"8585216\"] \n  7 -> 11 [size =\"8585216\"]\n  7 -> 12 [size =\"8585216\"]\n  7 -> 13 [size =\"8585216\"]\n  7 -> 14 [size =\"8585216\"]\n  7 -> 16 [size =\"8585216\"]\n  7 -> 17 [size =\"8585216\"]\n  7 -> 18 [size =\"8585216\"]\n  7 -> 20 [size =\"8585216\"]\n  8 [size=\"120757760\", alpha=\"0.01\", expect_size=\"48303104\"] \n  8 -> 12 [size =\"48303104\"]\n  8 -> 12 [size =\"48303104\"]\n  8 -> 13 [size =\"48303104\"]\n  8 -> 14 [size =\"48303104\"]\n  8 -> 17 [size =\"48303104\"]\n  8 -> 17 [size =\"48303104\"]\n  8 -> 18 [size =\"48303104\"]\n  8 -> 19 [size =\"48303104\"]\n  9 [size=\"78167040\", alpha=\"0.20\", expect_size=\"31266816\"] \n  9 -> 13 [size =\"31266816\"]\n  9 -> 14 [size =\"31266816\"]\n  9 -> 16 [size =\"31266816\"]\n  9 -> 18 [size =\"31266816\"]\n  10 [size=\"50329600\", alpha=\"0.18\", expect_size=\"20131840\"] \n  10 -> 12 [size =\"20131840\"]\n  10 -> 16 [size =\"20131840\"]\n  10 -> 17 [size =\"20131840\"]\n  10 -> 18 [size =\"20131840\"]\n  10 -> 20 [size =\"20131840\"]\n  11 [size=\"112555520\", alpha=\"0.06\", expect_size=\"45022208\"] \n  11 -> 27 [size =\"45022208\"]\n  11 -> 28 [size =\"45022208\"]\n  11 -> 29 [size =\"45022208\"]\n  11 -> 30 [size =\"45022208\"]\n  12 [size=\"85168640\", alpha=\"0.18\", expect_size=\"34067456\"] \n  12 -> 27 [size =\"34067456\"]\n  12 -> 29 [size =\"34067456\"]\n  12 -> 30 [size =\"34067456\"]\n  12 -> 30 [size =\"34067456\"]\n  13 [size=\"22049280\", alpha=\"0.13\", expect_size=\"8819712\"] \n  13 -> 24 [size =\"8819712\"]\n  13 -> 26 [size =\"8819712\"]\n  13 -> 28 [size =\"8819712\"]\n  13 -> 29 [size =\"8819712\"]\n  14 [size=\"57303040\", alpha=\"0.03\", expect_size=\"22921216\"] \n  14 -> 26 [size =\"22921216\"]\n  14 -> 27 [size =\"22921216\"]\n  14 -> 28 [size =\"22921216\"]\n  14 -> 30 [size =\"22921216\"]\n  15 [size=\"111531520\", alpha=\"0.15\", expect_size=\"44612608\"] \n  15 -> 22 [size =\"44612608\"]\n  15 -> 23 [size =\"44612608\"]\n  15 -> 24 [size =\"44612608\"]\n  15 -> 26 [size =\"44612608\"]\n  15 -> 27 [size =\"44612608\"]\n  15 -> 28 [size =\"44612608\"]\n  15 -> 29 [size =\"44612608\"]\n  15 -> 30 [size =\"44612608\"]\n  16 [size=\"62927360\", alpha=\"0.14\", expect_size=\"25170944\"] \n  16 -> 21 [size =\"25170944\"]\n  16 -> 22 [size =\"25170944\"]\n  16 -> 24 [size =\"25170944\"]\n  16 -> 27 [size =\"25170944\"]\n  16 -> 27 [size =\"25170944\"]\n  16 -> 29 [size =\"25170944\"]\n  16 -> 30 [size =\"25170944\"]\n  17 [size=\"74516480\", alpha=\"0.07\", expect_size=\"29806592\"] \n  17 -> 22 [size =\"29806592\"]\n  17 -> 24 [size =\"29806592\"]\n  17 -> 24 [size =\"29806592\"]\n  17 -> 25 [size =\"29806592\"]\n  17 -> 27 [size =\"29806592\"]\n  17 -> 28 [size =\"29806592\"]\n  17 -> 29 [size =\"29806592\"]\n  18 [size=\"81646080\", alpha=\"0.14\", expect_size=\"32658432\"] \n  18 -> 24 [size =\"32658432\"]\n  18 -> 24 [size =\"32658432\"]\n  18 -> 26 [size =\"32658432\"]\n  18 -> 28 [size =\"32658432\"]\n  18 -> 29 [size =\"32658432\"]\n  18 -> 30 [size =\"32658432\"]\n  19 [size=\"88921600\", alpha=\"0.20\", expect_size=\"35568640\"] \n  19 -> 24 [size =\"35568640\"]\n  19 -> 26 [size =\"35568640\"]\n  19 -> 27 [size =\"35568640\"]\n  19 -> 29 [size =\"35568640\"]\n  20 [size=\"86548480\", alpha=\"0.17\", expect_size=\"34619392\"] \n  20 -> 24 [size =\"34619392\"]\n  20 -> 26 [size =\"34619392\"]\n  20 -> 27 [size =\"34619392\"]\n  20 -> 29 [size =\"34619392\"]\n  21 [size=\"77570560\", alpha=\"0.14\", expect_size=\"31028224\"] \n  22 [size=\"113653760\", alpha=\"0.03\", expect_size=\"45461504\"] \n  23 [size=\"100610560\", alpha=\"0.16\", expect_size=\"40244224\"] \n  24 [size=\"60820480\", alpha=\"0.12\", expect_size=\"24328192\"] \n  25 [size=\"80120320\", alpha=\"0.09\", expect_size=\"32048128\"] \n  26 [size=\"50959360\", alpha=\"0.12\", expect_size=\"20383744\"] \n  27 [size=\"14172160\", alpha=\"0.16\", expect_size=\"5668864\"] \n  28 [size=\"56867840\", alpha=\"0.19\", expect_size=\"22747136\"] \n  29 [size=\"19671040\", alpha=\"0.13\", expect_size=\"7868416\"] \n  30 [size=\"18816000\", alpha=\"0.13\", expect_size=\"7526400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41715200\", alpha=\"0.06\", expect_size=\"16686080\"] \n  1 -> 11 [size =\"16686080\"]\n  1 -> 12 [size =\"16686080\"]\n  1 -> 16 [size =\"16686080\"]\n  2 [size=\"91525120\", alpha=\"0.18\", expect_size=\"36610048\"] \n  2 -> 11 [size =\"36610048\"]\n  2 -> 12 [size =\"36610048\"]\n  2 -> 14 [size =\"36610048\"]\n  2 -> 16 [size =\"36610048\"]\n  3 [size=\"105318400\", alpha=\"0.18\", expect_size=\"42127360\"] \n  3 -> 12 [size =\"42127360\"]\n  3 -> 15 [size =\"42127360\"]\n  3 -> 17 [size =\"42127360\"]\n  4 [size=\"23961600\", alpha=\"0.09\", expect_size=\"9584640\"] \n  4 -> 10 [size =\"9584640\"]\n  4 -> 12 [size =\"9584640\"]\n  4 -> 13 [size =\"9584640\"]\n  4 -> 15 [size =\"9584640\"]\n  5 [size=\"64732160\", alpha=\"0.04\", expect_size=\"25892864\"] \n  5 -> 10 [size =\"25892864\"]\n  5 -> 15 [size =\"25892864\"]\n  5 -> 17 [size =\"25892864\"]\n  6 [size=\"100567040\", alpha=\"0.03\", expect_size=\"40226816\"] \n  6 -> 10 [size =\"40226816\"]\n  6 -> 14 [size =\"40226816\"]\n  6 -> 16 [size =\"40226816\"]\n  7 [size=\"19988480\", alpha=\"0.17\", expect_size=\"7995392\"] \n  7 -> 13 [size =\"7995392\"]\n  7 -> 15 [size =\"7995392\"]\n  7 -> 16 [size =\"7995392\"]\n  8 [size=\"102287360\", alpha=\"0.18\", expect_size=\"40914944\"] \n  8 -> 10 [size =\"40914944\"]\n  8 -> 11 [size =\"40914944\"]\n  8 -> 13 [size =\"40914944\"]\n  8 -> 14 [size =\"40914944\"]\n  8 -> 15 [size =\"40914944\"]\n  8 -> 16 [size =\"40914944\"]\n  9 [size=\"126663680\", alpha=\"0.00\", expect_size=\"50665472\"] \n  9 -> 11 [size =\"50665472\"]\n  9 -> 15 [size =\"50665472\"]\n  9 -> 16 [size =\"50665472\"]\n  9 -> 18 [size =\"50665472\"]\n  10 [size=\"42042880\", alpha=\"0.03\", expect_size=\"16817152\"] \n  10 -> 19 [size =\"16817152\"]\n  10 -> 23 [size =\"16817152\"]\n  10 -> 24 [size =\"16817152\"]\n  10 -> 25 [size =\"16817152\"]\n  11 [size=\"52193280\", alpha=\"0.17\", expect_size=\"20877312\"] \n  11 -> 19 [size =\"20877312\"]\n  11 -> 21 [size =\"20877312\"]\n  11 -> 24 [size =\"20877312\"]\n  12 [size=\"89784320\", alpha=\"0.18\", expect_size=\"35913728\"] \n  12 -> 19 [size =\"35913728\"]\n  12 -> 22 [size =\"35913728\"]\n  12 -> 27 [size =\"35913728\"]\n  13 [size=\"77038080\", alpha=\"0.10\", expect_size=\"30815232\"] \n  13 -> 21 [size =\"30815232\"]\n  14 [size=\"63961600\", alpha=\"0.19\", expect_size=\"25584640\"] \n  14 -> 19 [size =\"25584640\"]\n  14 -> 22 [size =\"25584640\"]\n  14 -> 23 [size =\"25584640\"]\n  15 [size=\"118842880\", alpha=\"0.00\", expect_size=\"47537152\"] \n  15 -> 22 [size =\"47537152\"]\n  15 -> 22 [size =\"47537152\"]\n  15 -> 24 [size =\"47537152\"]\n  16 [size=\"22712320\", alpha=\"0.05\", expect_size=\"9084928\"] \n  16 -> 19 [size =\"9084928\"]\n  16 -> 21 [size =\"9084928\"]\n  16 -> 24 [size =\"9084928\"]\n  17 [size=\"40944640\", alpha=\"0.10\", expect_size=\"16377856\"] \n  17 -> 19 [size =\"16377856\"]\n  17 -> 20 [size =\"16377856\"]\n  17 -> 21 [size =\"16377856\"]\n  17 -> 26 [size =\"16377856\"]\n  18 [size=\"22300160\", alpha=\"0.09\", expect_size=\"8920064\"] \n  18 -> 20 [size =\"8920064\"]\n  18 -> 20 [size =\"8920064\"]\n  18 -> 21 [size =\"8920064\"]\n  18 -> 27 [size =\"8920064\"]\n  19 [size=\"129246720\", alpha=\"0.11\", expect_size=\"51698688\"] \n  19 -> 30 [size =\"51698688\"]\n  20 [size=\"129763840\", alpha=\"0.17\", expect_size=\"51905536\"] \n  20 -> 28 [size =\"51905536\"]\n  21 [size=\"26956800\", alpha=\"0.09\", expect_size=\"10782720\"] \n  22 [size=\"124595200\", alpha=\"0.14\", expect_size=\"49838080\"] \n  22 -> 28 [size =\"49838080\"]\n  22 -> 29 [size =\"49838080\"]\n  23 [size=\"111790080\", alpha=\"0.14\", expect_size=\"44716032\"] \n  23 -> 29 [size =\"44716032\"]\n  24 [size=\"52787200\", alpha=\"0.17\", expect_size=\"21114880\"] \n  24 -> 29 [size =\"21114880\"]\n  25 [size=\"44055040\", alpha=\"0.08\", expect_size=\"17622016\"] \n  25 -> 28 [size =\"17622016\"]\n  25 -> 29 [size =\"17622016\"]\n  25 -> 30 [size =\"17622016\"]\n  26 [size=\"46743040\", alpha=\"0.14\", expect_size=\"18697216\"] \n  26 -> 28 [size =\"18697216\"]\n  26 -> 29 [size =\"18697216\"]\n  27 [size=\"75366400\", alpha=\"0.01\", expect_size=\"30146560\"] \n  27 -> 29 [size =\"30146560\"]\n  27 -> 30 [size =\"30146560\"]\n  28 [size=\"18539520\", alpha=\"0.03\", expect_size=\"7415808\"] \n  29 [size=\"73720320\", alpha=\"0.04\", expect_size=\"29488128\"] \n  30 [size=\"19246080\", alpha=\"0.11\", expect_size=\"7698432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58685440\", alpha=\"0.11\", expect_size=\"17605632\"] \n  1 -> 6 [size =\"17605632\"]\n  1 -> 9 [size =\"17605632\"]\n  1 -> 10 [size =\"17605632\"]\n  1 -> 10 [size =\"17605632\"]\n  2 [size=\"144786773\", alpha=\"0.04\", expect_size=\"43436032\"] \n  2 -> 7 [size =\"43436032\"]\n  2 -> 9 [size =\"43436032\"]\n  2 -> 10 [size =\"43436032\"]\n  3 [size=\"128566613\", alpha=\"0.18\", expect_size=\"38569984\"] \n  3 -> 7 [size =\"38569984\"]\n  3 -> 9 [size =\"38569984\"]\n  3 -> 10 [size =\"38569984\"]\n  4 [size=\"145503573\", alpha=\"0.02\", expect_size=\"43651072\"] \n  4 -> 6 [size =\"43651072\"]\n  4 -> 7 [size =\"43651072\"]\n  4 -> 8 [size =\"43651072\"]\n  4 -> 9 [size =\"43651072\"]\n  5 [size=\"30235307\", alpha=\"0.16\", expect_size=\"9070592\"] \n  5 -> 6 [size =\"9070592\"]\n  5 -> 8 [size =\"9070592\"]\n  5 -> 9 [size =\"9070592\"]\n  5 -> 10 [size =\"9070592\"]\n  6 [size=\"172165120\", alpha=\"0.06\", expect_size=\"51649536\"] \n  6 -> 11 [size =\"51649536\"]\n  7 [size=\"133604693\", alpha=\"0.06\", expect_size=\"40081408\"] \n  7 -> 14 [size =\"40081408\"]\n  8 [size=\"123866453\", alpha=\"0.05\", expect_size=\"37159936\"] \n  8 -> 13 [size =\"37159936\"]\n  8 -> 14 [size =\"37159936\"]\n  9 [size=\"46059520\", alpha=\"0.10\", expect_size=\"13817856\"] \n  9 -> 11 [size =\"13817856\"]\n  9 -> 12 [size =\"13817856\"]\n  9 -> 13 [size =\"13817856\"]\n  9 -> 14 [size =\"13817856\"]\n  10 [size=\"161392640\", alpha=\"0.13\", expect_size=\"48417792\"] \n  10 -> 11 [size =\"48417792\"]\n  10 -> 12 [size =\"48417792\"]\n  11 [size=\"169106773\", alpha=\"0.17\", expect_size=\"50732032\"] \n  11 -> 15 [size =\"50732032\"]\n  11 -> 16 [size =\"50732032\"]\n  12 [size=\"101649067\", alpha=\"0.05\", expect_size=\"30494720\"] \n  12 -> 15 [size =\"30494720\"]\n  12 -> 16 [size =\"30494720\"]\n  12 -> 19 [size =\"30494720\"]\n  13 [size=\"133638827\", alpha=\"0.04\", expect_size=\"40091648\"] \n  13 -> 15 [size =\"40091648\"]\n  13 -> 16 [size =\"40091648\"]\n  13 -> 18 [size =\"40091648\"]\n  13 -> 19 [size =\"40091648\"]\n  14 [size=\"117623467\", alpha=\"0.17\", expect_size=\"35287040\"] \n  14 -> 15 [size =\"35287040\"]\n  14 -> 17 [size =\"35287040\"]\n  14 -> 19 [size =\"35287040\"]\n  15 [size=\"131413333\", alpha=\"0.04\", expect_size=\"39424000\"] \n  15 -> 20 [size =\"39424000\"]\n  15 -> 22 [size =\"39424000\"]\n  15 -> 23 [size =\"39424000\"]\n  15 -> 24 [size =\"39424000\"]\n  16 [size=\"97126400\", alpha=\"0.15\", expect_size=\"29137920\"] \n  16 -> 20 [size =\"29137920\"]\n  16 -> 22 [size =\"29137920\"]\n  16 -> 23 [size =\"29137920\"]\n  17 [size=\"147995307\", alpha=\"0.13\", expect_size=\"44398592\"] \n  17 -> 21 [size =\"44398592\"]\n  17 -> 22 [size =\"44398592\"]\n  17 -> 23 [size =\"44398592\"]\n  18 [size=\"41618773\", alpha=\"0.17\", expect_size=\"12485632\"] \n  18 -> 20 [size =\"12485632\"]\n  18 -> 21 [size =\"12485632\"]\n  18 -> 22 [size =\"12485632\"]\n  18 -> 23 [size =\"12485632\"]\n  19 [size=\"83602773\", alpha=\"0.13\", expect_size=\"25080832\"] \n  19 -> 20 [size =\"25080832\"]\n  19 -> 21 [size =\"25080832\"]\n  19 -> 24 [size =\"25080832\"]\n  20 [size=\"162461013\", alpha=\"0.02\", expect_size=\"48738304\"] \n  20 -> 25 [size =\"48738304\"]\n  20 -> 26 [size =\"48738304\"]\n  20 -> 27 [size =\"48738304\"]\n  20 -> 28 [size =\"48738304\"]\n  21 [size=\"107117227\", alpha=\"0.16\", expect_size=\"32135168\"] \n  21 -> 26 [size =\"32135168\"]\n  21 -> 26 [size =\"32135168\"]\n  21 -> 28 [size =\"32135168\"]\n  21 -> 28 [size =\"32135168\"]\n  22 [size=\"80356693\", alpha=\"0.06\", expect_size=\"24107008\"] \n  22 -> 25 [size =\"24107008\"]\n  22 -> 26 [size =\"24107008\"]\n  22 -> 27 [size =\"24107008\"]\n  23 [size=\"122859520\", alpha=\"0.10\", expect_size=\"36857856\"] \n  23 -> 25 [size =\"36857856\"]\n  23 -> 26 [size =\"36857856\"]\n  23 -> 27 [size =\"36857856\"]\n  24 [size=\"152627200\", alpha=\"0.11\", expect_size=\"45788160\"] \n  24 -> 25 [size =\"45788160\"]\n  24 -> 27 [size =\"45788160\"]\n  24 -> 28 [size =\"45788160\"]\n  25 [size=\"125276160\", alpha=\"0.13\", expect_size=\"37582848\"] \n  25 -> 29 [size =\"37582848\"]\n  26 [size=\"157419520\", alpha=\"0.15\", expect_size=\"47225856\"] \n  26 -> 29 [size =\"47225856\"]\n  26 -> 30 [size =\"47225856\"]\n  27 [size=\"116299093\", alpha=\"0.11\", expect_size=\"34889728\"] \n  27 -> 29 [size =\"34889728\"]\n  28 [size=\"57654613\", alpha=\"0.01\", expect_size=\"17296384\"] \n  28 -> 29 [size =\"17296384\"]\n  29 [size=\"33860267\", alpha=\"0.15\", expect_size=\"10158080\"] \n  30 [size=\"138465280\", alpha=\"0.07\", expect_size=\"41539584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103088128\", alpha=\"0.15\", expect_size=\"51544064\"] \n  1 -> 11 [size =\"51544064\"]\n  1 -> 12 [size =\"51544064\"]\n  1 -> 14 [size =\"51544064\"]\n  1 -> 15 [size =\"51544064\"]\n  1 -> 18 [size =\"51544064\"]\n  2 [size=\"90517504\", alpha=\"0.05\", expect_size=\"45258752\"] \n  2 -> 14 [size =\"45258752\"]\n  2 -> 18 [size =\"45258752\"]\n  3 [size=\"88195072\", alpha=\"0.20\", expect_size=\"44097536\"] \n  3 -> 11 [size =\"44097536\"]\n  3 -> 14 [size =\"44097536\"]\n  3 -> 15 [size =\"44097536\"]\n  3 -> 17 [size =\"44097536\"]\n  3 -> 18 [size =\"44097536\"]\n  4 [size=\"39157760\", alpha=\"0.06\", expect_size=\"19578880\"] \n  4 -> 11 [size =\"19578880\"]\n  4 -> 14 [size =\"19578880\"]\n  4 -> 16 [size =\"19578880\"]\n  4 -> 18 [size =\"19578880\"]\n  5 [size=\"73695232\", alpha=\"0.19\", expect_size=\"36847616\"] \n  5 -> 11 [size =\"36847616\"]\n  5 -> 13 [size =\"36847616\"]\n  5 -> 15 [size =\"36847616\"]\n  6 [size=\"95016960\", alpha=\"0.08\", expect_size=\"47508480\"] \n  6 -> 10 [size =\"47508480\"]\n  6 -> 11 [size =\"47508480\"]\n  6 -> 14 [size =\"47508480\"]\n  6 -> 15 [size =\"47508480\"]\n  6 -> 17 [size =\"47508480\"]\n  7 [size=\"46161920\", alpha=\"0.05\", expect_size=\"23080960\"] \n  7 -> 15 [size =\"23080960\"]\n  7 -> 17 [size =\"23080960\"]\n  7 -> 18 [size =\"23080960\"]\n  8 [size=\"27795456\", alpha=\"0.14\", expect_size=\"13897728\"] \n  8 -> 12 [size =\"13897728\"]\n  8 -> 15 [size =\"13897728\"]\n  8 -> 18 [size =\"13897728\"]\n  9 [size=\"43040768\", alpha=\"0.20\", expect_size=\"21520384\"] \n  9 -> 12 [size =\"21520384\"]\n  9 -> 15 [size =\"21520384\"]\n  9 -> 18 [size =\"21520384\"]\n  10 [size=\"63655936\", alpha=\"0.06\", expect_size=\"31827968\"] \n  10 -> 19 [size =\"31827968\"]\n  10 -> 20 [size =\"31827968\"]\n  10 -> 22 [size =\"31827968\"]\n  10 -> 27 [size =\"31827968\"]\n  11 [size=\"98494464\", alpha=\"0.08\", expect_size=\"49247232\"] \n  11 -> 25 [size =\"49247232\"]\n  11 -> 27 [size =\"49247232\"]\n  12 [size=\"76400640\", alpha=\"0.14\", expect_size=\"38200320\"] \n  12 -> 24 [size =\"38200320\"]\n  12 -> 27 [size =\"38200320\"]\n  13 [size=\"98512896\", alpha=\"0.09\", expect_size=\"49256448\"] \n  13 -> 19 [size =\"49256448\"]\n  13 -> 20 [size =\"49256448\"]\n  13 -> 23 [size =\"49256448\"]\n  13 -> 24 [size =\"49256448\"]\n  14 [size=\"98394112\", alpha=\"0.07\", expect_size=\"49197056\"] \n  14 -> 19 [size =\"49197056\"]\n  14 -> 20 [size =\"49197056\"]\n  14 -> 23 [size =\"49197056\"]\n  14 -> 24 [size =\"49197056\"]\n  14 -> 25 [size =\"49197056\"]\n  15 [size=\"33169408\", alpha=\"0.10\", expect_size=\"16584704\"] \n  15 -> 19 [size =\"16584704\"]\n  15 -> 20 [size =\"16584704\"]\n  15 -> 21 [size =\"16584704\"]\n  15 -> 23 [size =\"16584704\"]\n  15 -> 26 [size =\"16584704\"]\n  16 [size=\"29782016\", alpha=\"0.00\", expect_size=\"14891008\"] \n  16 -> 19 [size =\"14891008\"]\n  16 -> 24 [size =\"14891008\"]\n  16 -> 26 [size =\"14891008\"]\n  17 [size=\"65527808\", alpha=\"0.16\", expect_size=\"32763904\"] \n  17 -> 20 [size =\"32763904\"]\n  17 -> 26 [size =\"32763904\"]\n  18 [size=\"90908672\", alpha=\"0.02\", expect_size=\"45454336\"] \n  18 -> 19 [size =\"45454336\"]\n  18 -> 23 [size =\"45454336\"]\n  19 [size=\"62478336\", alpha=\"0.08\", expect_size=\"31239168\"] \n  19 -> 30 [size =\"31239168\"]\n  20 [size=\"60622848\", alpha=\"0.03\", expect_size=\"30311424\"] \n  20 -> 28 [size =\"30311424\"]\n  20 -> 30 [size =\"30311424\"]\n  21 [size=\"90531840\", alpha=\"0.18\", expect_size=\"45265920\"] \n  21 -> 30 [size =\"45265920\"]\n  21 -> 30 [size =\"45265920\"]\n  22 [size=\"34064384\", alpha=\"0.10\", expect_size=\"17032192\"] \n  22 -> 28 [size =\"17032192\"]\n  22 -> 30 [size =\"17032192\"]\n  23 [size=\"99192832\", alpha=\"0.18\", expect_size=\"49596416\"] \n  24 [size=\"47224832\", alpha=\"0.12\", expect_size=\"23612416\"] \n  24 -> 28 [size =\"23612416\"]\n  24 -> 29 [size =\"23612416\"]\n  25 [size=\"79861760\", alpha=\"0.20\", expect_size=\"39930880\"] \n  25 -> 28 [size =\"39930880\"]\n  25 -> 29 [size =\"39930880\"]\n  25 -> 30 [size =\"39930880\"]\n  26 [size=\"33099776\", alpha=\"0.05\", expect_size=\"16549888\"] \n  26 -> 28 [size =\"16549888\"]\n  27 [size=\"34945024\", alpha=\"0.18\", expect_size=\"17472512\"] \n  27 -> 28 [size =\"17472512\"]\n  27 -> 30 [size =\"17472512\"]\n  28 [size=\"14809088\", alpha=\"0.15\", expect_size=\"7404544\"] \n  29 [size=\"22706176\", alpha=\"0.19\", expect_size=\"11353088\"] \n  30 [size=\"62312448\", alpha=\"0.14\", expect_size=\"31156224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64791893\", alpha=\"0.15\", expect_size=\"19437568\"] \n  1 -> 3 [size =\"19437568\"]\n  1 -> 4 [size =\"19437568\"]\n  2 [size=\"121729707\", alpha=\"0.12\", expect_size=\"36518912\"] \n  3 [size=\"104816640\", alpha=\"0.15\", expect_size=\"31444992\"] \n  3 -> 5 [size =\"31444992\"]\n  4 [size=\"95477760\", alpha=\"0.04\", expect_size=\"28643328\"] \n  4 -> 5 [size =\"28643328\"]\n  5 [size=\"97989973\", alpha=\"0.05\", expect_size=\"29396992\"] \n  5 -> 6 [size =\"29396992\"]\n  6 [size=\"97365333\", alpha=\"0.13\", expect_size=\"29209600\"] \n  6 -> 7 [size =\"29209600\"]\n  7 [size=\"83763200\", alpha=\"0.15\", expect_size=\"25128960\"] \n  7 -> 8 [size =\"25128960\"]\n  8 [size=\"54405120\", alpha=\"0.03\", expect_size=\"16321536\"] \n  8 -> 9 [size =\"16321536\"]\n  8 -> 10 [size =\"16321536\"]\n  9 [size=\"92576427\", alpha=\"0.17\", expect_size=\"27772928\"] \n  9 -> 11 [size =\"27772928\"]\n  9 -> 12 [size =\"27772928\"]\n  10 [size=\"71857493\", alpha=\"0.00\", expect_size=\"21557248\"] \n  10 -> 11 [size =\"21557248\"]\n  10 -> 12 [size =\"21557248\"]\n  11 [size=\"151866027\", alpha=\"0.01\", expect_size=\"45559808\"] \n  11 -> 13 [size =\"45559808\"]\n  12 [size=\"113172480\", alpha=\"0.16\", expect_size=\"33951744\"] \n  13 [size=\"53527893\", alpha=\"0.06\", expect_size=\"16058368\"] \n  13 -> 14 [size =\"16058368\"]\n  13 -> 15 [size =\"16058368\"]\n  14 [size=\"171417600\", alpha=\"0.10\", expect_size=\"51425280\"] \n  14 -> 16 [size =\"51425280\"]\n  15 [size=\"45352960\", alpha=\"0.02\", expect_size=\"13605888\"] \n  15 -> 16 [size =\"13605888\"]\n  16 [size=\"82042880\", alpha=\"0.13\", expect_size=\"24612864\"] \n  16 -> 17 [size =\"24612864\"]\n  17 [size=\"25815040\", alpha=\"0.11\", expect_size=\"7744512\"] \n  17 -> 18 [size =\"7744512\"]\n  17 -> 19 [size =\"7744512\"]\n  18 [size=\"141735253\", alpha=\"0.17\", expect_size=\"42520576\"] \n  18 -> 20 [size =\"42520576\"]\n  19 [size=\"162205013\", alpha=\"0.04\", expect_size=\"48661504\"] \n  20 [size=\"135939413\", alpha=\"0.16\", expect_size=\"40781824\"] \n  20 -> 21 [size =\"40781824\"]\n  21 [size=\"137687040\", alpha=\"0.14\", expect_size=\"41306112\"] \n  21 -> 22 [size =\"41306112\"]\n  22 [size=\"144264533\", alpha=\"0.05\", expect_size=\"43279360\"] \n  22 -> 23 [size =\"43279360\"]\n  23 [size=\"110175573\", alpha=\"0.07\", expect_size=\"33052672\"] \n  23 -> 24 [size =\"33052672\"]\n  23 -> 25 [size =\"33052672\"]\n  24 [size=\"153593173\", alpha=\"0.19\", expect_size=\"46077952\"] \n  24 -> 26 [size =\"46077952\"]\n  24 -> 27 [size =\"46077952\"]\n  25 [size=\"77793280\", alpha=\"0.01\", expect_size=\"23337984\"] \n  25 -> 27 [size =\"23337984\"]\n  26 [size=\"95914667\", alpha=\"0.14\", expect_size=\"28774400\"] \n  27 [size=\"42011307\", alpha=\"0.15\", expect_size=\"12603392\"] \n  27 -> 28 [size =\"12603392\"]\n  28 [size=\"128505173\", alpha=\"0.00\", expect_size=\"38551552\"] \n  28 -> 29 [size =\"38551552\"]\n  29 [size=\"106427733\", alpha=\"0.15\", expect_size=\"31928320\"] \n  29 -> 30 [size =\"31928320\"]\n  30 [size=\"140103680\", alpha=\"0.17\", expect_size=\"42031104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166782293\", alpha=\"0.03\", expect_size=\"50034688\"] \n  1 -> 2 [size =\"50034688\"]\n  2 [size=\"174353067\", alpha=\"0.18\", expect_size=\"52305920\"] \n  2 -> 3 [size =\"52305920\"]\n  3 [size=\"169506133\", alpha=\"0.08\", expect_size=\"50851840\"] \n  3 -> 4 [size =\"50851840\"]\n  4 [size=\"92712960\", alpha=\"0.15\", expect_size=\"27813888\"] \n  4 -> 5 [size =\"27813888\"]\n  5 [size=\"78305280\", alpha=\"0.16\", expect_size=\"23491584\"] \n  5 -> 6 [size =\"23491584\"]\n  6 [size=\"57036800\", alpha=\"0.04\", expect_size=\"17111040\"] \n  6 -> 7 [size =\"17111040\"]\n  7 [size=\"169946453\", alpha=\"0.15\", expect_size=\"50983936\"] \n  7 -> 8 [size =\"50983936\"]\n  8 [size=\"60941653\", alpha=\"0.18\", expect_size=\"18282496\"] \n  8 -> 9 [size =\"18282496\"]\n  9 [size=\"22302720\", alpha=\"0.00\", expect_size=\"6690816\"] \n  9 -> 10 [size =\"6690816\"]\n  10 [size=\"122835627\", alpha=\"0.15\", expect_size=\"36850688\"] \n  10 -> 11 [size =\"36850688\"]\n  11 [size=\"137745067\", alpha=\"0.02\", expect_size=\"41323520\"] \n  11 -> 12 [size =\"41323520\"]\n  12 [size=\"163802453\", alpha=\"0.02\", expect_size=\"49140736\"] \n  12 -> 13 [size =\"49140736\"]\n  13 [size=\"145452373\", alpha=\"0.07\", expect_size=\"43635712\"] \n  13 -> 14 [size =\"43635712\"]\n  14 [size=\"52944213\", alpha=\"0.03\", expect_size=\"15883264\"] \n  14 -> 15 [size =\"15883264\"]\n  15 [size=\"174605653\", alpha=\"0.11\", expect_size=\"52381696\"] \n  15 -> 16 [size =\"52381696\"]\n  16 [size=\"140755627\", alpha=\"0.12\", expect_size=\"42226688\"] \n  16 -> 17 [size =\"42226688\"]\n  17 [size=\"169301333\", alpha=\"0.18\", expect_size=\"50790400\"] \n  17 -> 18 [size =\"50790400\"]\n  18 [size=\"126078293\", alpha=\"0.16\", expect_size=\"37823488\"] \n  18 -> 19 [size =\"37823488\"]\n  19 [size=\"112752640\", alpha=\"0.18\", expect_size=\"33825792\"] \n  19 -> 20 [size =\"33825792\"]\n  20 [size=\"115415040\", alpha=\"0.09\", expect_size=\"34624512\"] \n  20 -> 21 [size =\"34624512\"]\n  21 [size=\"73461760\", alpha=\"0.19\", expect_size=\"22038528\"] \n  21 -> 22 [size =\"22038528\"]\n  22 [size=\"89480533\", alpha=\"0.10\", expect_size=\"26844160\"] \n  22 -> 23 [size =\"26844160\"]\n  23 [size=\"108410880\", alpha=\"0.19\", expect_size=\"32523264\"] \n  23 -> 24 [size =\"32523264\"]\n  24 [size=\"163351893\", alpha=\"0.19\", expect_size=\"49005568\"] \n  24 -> 25 [size =\"49005568\"]\n  25 [size=\"29965653\", alpha=\"0.06\", expect_size=\"8989696\"] \n  25 -> 26 [size =\"8989696\"]\n  26 [size=\"117964800\", alpha=\"0.17\", expect_size=\"35389440\"] \n  26 -> 27 [size =\"35389440\"]\n  27 [size=\"57511253\", alpha=\"0.09\", expect_size=\"17253376\"] \n  27 -> 28 [size =\"17253376\"]\n  28 [size=\"43444907\", alpha=\"0.06\", expect_size=\"13033472\"] \n  28 -> 29 [size =\"13033472\"]\n  29 [size=\"169844053\", alpha=\"0.03\", expect_size=\"50953216\"] \n  29 -> 30 [size =\"50953216\"]\n  30 [size=\"152087893\", alpha=\"0.14\", expect_size=\"45626368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106152960\", alpha=\"0.18\", expect_size=\"42461184\"] \n  1 -> 29 [size =\"42461184\"]\n  2 [size=\"39900160\", alpha=\"0.09\", expect_size=\"15960064\"] \n  2 -> 23 [size =\"15960064\"]\n  2 -> 26 [size =\"15960064\"]\n  2 -> 29 [size =\"15960064\"]\n  3 [size=\"117365760\", alpha=\"0.17\", expect_size=\"46946304\"] \n  3 -> 26 [size =\"46946304\"]\n  3 -> 29 [size =\"46946304\"]\n  4 [size=\"77376000\", alpha=\"0.12\", expect_size=\"30950400\"] \n  4 -> 23 [size =\"30950400\"]\n  4 -> 24 [size =\"30950400\"]\n  4 -> 25 [size =\"30950400\"]\n  4 -> 29 [size =\"30950400\"]\n  4 -> 30 [size =\"30950400\"]\n  5 [size=\"97958400\", alpha=\"0.16\", expect_size=\"39183360\"] \n  5 -> 23 [size =\"39183360\"]\n  5 -> 25 [size =\"39183360\"]\n  5 -> 28 [size =\"39183360\"]\n  5 -> 29 [size =\"39183360\"]\n  5 -> 30 [size =\"39183360\"]\n  6 [size=\"107110400\", alpha=\"0.14\", expect_size=\"42844160\"] \n  6 -> 28 [size =\"42844160\"]\n  7 [size=\"43609600\", alpha=\"0.19\", expect_size=\"17443840\"] \n  7 -> 27 [size =\"17443840\"]\n  8 [size=\"119147520\", alpha=\"0.04\", expect_size=\"47659008\"] \n  8 -> 24 [size =\"47659008\"]\n  8 -> 27 [size =\"47659008\"]\n  8 -> 29 [size =\"47659008\"]\n  9 [size=\"106611200\", alpha=\"0.12\", expect_size=\"42644480\"] \n  9 -> 26 [size =\"42644480\"]\n  9 -> 27 [size =\"42644480\"]\n  9 -> 29 [size =\"42644480\"]\n  10 [size=\"83166720\", alpha=\"0.10\", expect_size=\"33266688\"] \n  10 -> 24 [size =\"33266688\"]\n  10 -> 25 [size =\"33266688\"]\n  10 -> 26 [size =\"33266688\"]\n  10 -> 27 [size =\"33266688\"]\n  11 [size=\"72977920\", alpha=\"0.02\", expect_size=\"29191168\"] \n  11 -> 27 [size =\"29191168\"]\n  11 -> 28 [size =\"29191168\"]\n  11 -> 29 [size =\"29191168\"]\n  12 [size=\"63367680\", alpha=\"0.10\", expect_size=\"25347072\"] \n  12 -> 26 [size =\"25347072\"]\n  12 -> 27 [size =\"25347072\"]\n  12 -> 28 [size =\"25347072\"]\n  13 [size=\"117893120\", alpha=\"0.04\", expect_size=\"47157248\"] \n  13 -> 28 [size =\"47157248\"]\n  13 -> 29 [size =\"47157248\"]\n  14 [size=\"98629120\", alpha=\"0.04\", expect_size=\"39451648\"] \n  14 -> 28 [size =\"39451648\"]\n  14 -> 29 [size =\"39451648\"]\n  15 [size=\"49093120\", alpha=\"0.15\", expect_size=\"19637248\"] \n  15 -> 23 [size =\"19637248\"]\n  15 -> 28 [size =\"19637248\"]\n  15 -> 29 [size =\"19637248\"]\n  16 [size=\"23306240\", alpha=\"0.20\", expect_size=\"9322496\"] \n  16 -> 28 [size =\"9322496\"]\n  16 -> 28 [size =\"9322496\"]\n  16 -> 30 [size =\"9322496\"]\n  17 [size=\"108075520\", alpha=\"0.14\", expect_size=\"43230208\"] \n  17 -> 24 [size =\"43230208\"]\n  17 -> 27 [size =\"43230208\"]\n  17 -> 28 [size =\"43230208\"]\n  18 [size=\"104806400\", alpha=\"0.20\", expect_size=\"41922560\"] \n  18 -> 24 [size =\"41922560\"]\n  18 -> 27 [size =\"41922560\"]\n  19 [size=\"128926720\", alpha=\"0.06\", expect_size=\"51570688\"] \n  19 -> 24 [size =\"51570688\"]\n  20 [size=\"81643520\", alpha=\"0.19\", expect_size=\"32657408\"] \n  20 -> 24 [size =\"32657408\"]\n  20 -> 27 [size =\"32657408\"]\n  21 [size=\"22440960\", alpha=\"0.07\", expect_size=\"8976384\"] \n  21 -> 24 [size =\"8976384\"]\n  21 -> 30 [size =\"8976384\"]\n  22 [size=\"34680320\", alpha=\"0.01\", expect_size=\"13872128\"] \n  22 -> 24 [size =\"13872128\"]\n  23 [size=\"94863360\", alpha=\"0.11\", expect_size=\"37945344\"] \n  24 [size=\"117982720\", alpha=\"0.13\", expect_size=\"47193088\"] \n  25 [size=\"21708800\", alpha=\"0.09\", expect_size=\"8683520\"] \n  26 [size=\"108080640\", alpha=\"0.01\", expect_size=\"43232256\"] \n  27 [size=\"105638400\", alpha=\"0.19\", expect_size=\"42255360\"] \n  28 [size=\"73113600\", alpha=\"0.14\", expect_size=\"29245440\"] \n  29 [size=\"71449600\", alpha=\"0.05\", expect_size=\"28579840\"] \n  30 [size=\"105582080\", alpha=\"0.08\", expect_size=\"42232832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23539200\", alpha=\"0.19\", expect_size=\"9415680\"] \n  1 -> 21 [size =\"9415680\"]\n  2 [size=\"27471360\", alpha=\"0.15\", expect_size=\"10988544\"] \n  2 -> 18 [size =\"10988544\"]\n  3 [size=\"58467840\", alpha=\"0.18\", expect_size=\"23387136\"] \n  3 -> 17 [size =\"23387136\"]\n  3 -> 18 [size =\"23387136\"]\n  4 [size=\"27217920\", alpha=\"0.11\", expect_size=\"10887168\"] \n  4 -> 17 [size =\"10887168\"]\n  4 -> 21 [size =\"10887168\"]\n  5 [size=\"44451840\", alpha=\"0.13\", expect_size=\"17780736\"] \n  6 [size=\"57280000\", alpha=\"0.14\", expect_size=\"22912000\"] \n  7 [size=\"25410560\", alpha=\"0.13\", expect_size=\"10164224\"] \n  7 -> 14 [size =\"10164224\"]\n  7 -> 16 [size =\"10164224\"]\n  7 -> 21 [size =\"10164224\"]\n  8 [size=\"21445120\", alpha=\"0.08\", expect_size=\"8578048\"] \n  8 -> 14 [size =\"8578048\"]\n  8 -> 20 [size =\"8578048\"]\n  8 -> 21 [size =\"8578048\"]\n  9 [size=\"61946880\", alpha=\"0.04\", expect_size=\"24778752\"] \n  9 -> 20 [size =\"24778752\"]\n  9 -> 21 [size =\"24778752\"]\n  10 [size=\"46794240\", alpha=\"0.07\", expect_size=\"18717696\"] \n  10 -> 16 [size =\"18717696\"]\n  11 [size=\"81384960\", alpha=\"0.05\", expect_size=\"32553984\"] \n  11 -> 15 [size =\"32553984\"]\n  11 -> 16 [size =\"32553984\"]\n  12 [size=\"73858560\", alpha=\"0.08\", expect_size=\"29543424\"] \n  12 -> 14 [size =\"29543424\"]\n  12 -> 16 [size =\"29543424\"]\n  12 -> 20 [size =\"29543424\"]\n  12 -> 21 [size =\"29543424\"]\n  13 [size=\"44065280\", alpha=\"0.13\", expect_size=\"17626112\"] \n  13 -> 14 [size =\"17626112\"]\n  13 -> 16 [size =\"17626112\"]\n  13 -> 17 [size =\"17626112\"]\n  13 -> 19 [size =\"17626112\"]\n  14 [size=\"33779200\", alpha=\"0.20\", expect_size=\"13511680\"] \n  14 -> 24 [size =\"13511680\"]\n  14 -> 25 [size =\"13511680\"]\n  14 -> 26 [size =\"13511680\"]\n  15 [size=\"101514240\", alpha=\"0.05\", expect_size=\"40605696\"] \n  15 -> 24 [size =\"40605696\"]\n  15 -> 26 [size =\"40605696\"]\n  15 -> 27 [size =\"40605696\"]\n  16 [size=\"58199040\", alpha=\"0.14\", expect_size=\"23279616\"] \n  16 -> 23 [size =\"23279616\"]\n  16 -> 24 [size =\"23279616\"]\n  16 -> 27 [size =\"23279616\"]\n  17 [size=\"24655360\", alpha=\"0.04\", expect_size=\"9862144\"] \n  17 -> 23 [size =\"9862144\"]\n  17 -> 27 [size =\"9862144\"]\n  17 -> 27 [size =\"9862144\"]\n  18 [size=\"102568960\", alpha=\"0.15\", expect_size=\"41027584\"] \n  18 -> 25 [size =\"41027584\"]\n  19 [size=\"30435840\", alpha=\"0.00\", expect_size=\"12174336\"] \n  19 -> 25 [size =\"12174336\"]\n  20 [size=\"53614080\", alpha=\"0.13\", expect_size=\"21445632\"] \n  20 -> 22 [size =\"21445632\"]\n  20 -> 23 [size =\"21445632\"]\n  20 -> 26 [size =\"21445632\"]\n  21 [size=\"95206400\", alpha=\"0.07\", expect_size=\"38082560\"] \n  21 -> 22 [size =\"38082560\"]\n  21 -> 25 [size =\"38082560\"]\n  22 [size=\"126650880\", alpha=\"0.04\", expect_size=\"50660352\"] \n  22 -> 29 [size =\"50660352\"]\n  22 -> 30 [size =\"50660352\"]\n  23 [size=\"55045120\", alpha=\"0.09\", expect_size=\"22018048\"] \n  23 -> 28 [size =\"22018048\"]\n  23 -> 29 [size =\"22018048\"]\n  23 -> 30 [size =\"22018048\"]\n  24 [size=\"129308160\", alpha=\"0.16\", expect_size=\"51723264\"] \n  24 -> 28 [size =\"51723264\"]\n  24 -> 29 [size =\"51723264\"]\n  24 -> 30 [size =\"51723264\"]\n  25 [size=\"127257600\", alpha=\"0.08\", expect_size=\"50903040\"] \n  26 [size=\"37025280\", alpha=\"0.08\", expect_size=\"14810112\"] \n  27 [size=\"118878720\", alpha=\"0.09\", expect_size=\"47551488\"] \n  28 [size=\"24378880\", alpha=\"0.13\", expect_size=\"9751552\"] \n  29 [size=\"114928640\", alpha=\"0.04\", expect_size=\"45971456\"] \n  30 [size=\"115156480\", alpha=\"0.01\", expect_size=\"46062592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84961280\", alpha=\"0.07\", expect_size=\"25488384\"] \n  1 -> 15 [size =\"25488384\"]\n  1 -> 16 [size =\"25488384\"]\n  1 -> 20 [size =\"25488384\"]\n  1 -> 21 [size =\"25488384\"]\n  1 -> 23 [size =\"25488384\"]\n  1 -> 26 [size =\"25488384\"]\n  2 [size=\"120162987\", alpha=\"0.05\", expect_size=\"36048896\"] \n  2 -> 19 [size =\"36048896\"]\n  2 -> 20 [size =\"36048896\"]\n  2 -> 20 [size =\"36048896\"]\n  2 -> 21 [size =\"36048896\"]\n  2 -> 24 [size =\"36048896\"]\n  2 -> 26 [size =\"36048896\"]\n  2 -> 27 [size =\"36048896\"]\n  3 [size=\"160641707\", alpha=\"0.01\", expect_size=\"48192512\"] \n  3 -> 15 [size =\"48192512\"]\n  3 -> 18 [size =\"48192512\"]\n  3 -> 19 [size =\"48192512\"]\n  4 [size=\"50100907\", alpha=\"0.17\", expect_size=\"15030272\"] \n  4 -> 13 [size =\"15030272\"]\n  4 -> 18 [size =\"15030272\"]\n  4 -> 19 [size =\"15030272\"]\n  4 -> 23 [size =\"15030272\"]\n  5 [size=\"172206080\", alpha=\"0.15\", expect_size=\"51661824\"] \n  5 -> 17 [size =\"51661824\"]\n  5 -> 18 [size =\"51661824\"]\n  5 -> 21 [size =\"51661824\"]\n  6 [size=\"18660693\", alpha=\"0.02\", expect_size=\"5598208\"] \n  6 -> 19 [size =\"5598208\"]\n  6 -> 23 [size =\"5598208\"]\n  6 -> 26 [size =\"5598208\"]\n  7 [size=\"66228907\", alpha=\"0.05\", expect_size=\"19868672\"] \n  7 -> 14 [size =\"19868672\"]\n  7 -> 20 [size =\"19868672\"]\n  7 -> 23 [size =\"19868672\"]\n  7 -> 27 [size =\"19868672\"]\n  8 [size=\"33607680\", alpha=\"0.19\", expect_size=\"10082304\"] \n  8 -> 19 [size =\"10082304\"]\n  8 -> 21 [size =\"10082304\"]\n  8 -> 25 [size =\"10082304\"]\n  8 -> 26 [size =\"10082304\"]\n  9 [size=\"58193920\", alpha=\"0.17\", expect_size=\"17458176\"] \n  9 -> 18 [size =\"17458176\"]\n  9 -> 19 [size =\"17458176\"]\n  9 -> 21 [size =\"17458176\"]\n  9 -> 22 [size =\"17458176\"]\n  9 -> 27 [size =\"17458176\"]\n  10 [size=\"159607467\", alpha=\"0.01\", expect_size=\"47882240\"] \n  10 -> 18 [size =\"47882240\"]\n  10 -> 23 [size =\"47882240\"]\n  10 -> 24 [size =\"47882240\"]\n  11 [size=\"121275733\", alpha=\"0.10\", expect_size=\"36382720\"] \n  11 -> 15 [size =\"36382720\"]\n  11 -> 16 [size =\"36382720\"]\n  11 -> 18 [size =\"36382720\"]\n  11 -> 20 [size =\"36382720\"]\n  11 -> 21 [size =\"36382720\"]\n  11 -> 27 [size =\"36382720\"]\n  12 [size=\"18974720\", alpha=\"0.04\", expect_size=\"5692416\"] \n  12 -> 16 [size =\"5692416\"]\n  12 -> 20 [size =\"5692416\"]\n  12 -> 23 [size =\"5692416\"]\n  12 -> 26 [size =\"5692416\"]\n  12 -> 27 [size =\"5692416\"]\n  13 [size=\"55197013\", alpha=\"0.02\", expect_size=\"16559104\"] \n  14 [size=\"63375360\", alpha=\"0.17\", expect_size=\"19012608\"] \n  15 [size=\"36089173\", alpha=\"0.09\", expect_size=\"10826752\"] \n  16 [size=\"157122560\", alpha=\"0.03\", expect_size=\"47136768\"] \n  17 [size=\"171298133\", alpha=\"0.03\", expect_size=\"51389440\"] \n  18 [size=\"50438827\", alpha=\"0.03\", expect_size=\"15131648\"] \n  19 [size=\"45711360\", alpha=\"0.15\", expect_size=\"13713408\"] \n  19 -> 28 [size =\"13713408\"]\n  20 [size=\"20647253\", alpha=\"0.08\", expect_size=\"6194176\"] \n  20 -> 29 [size =\"6194176\"]\n  20 -> 30 [size =\"6194176\"]\n  21 [size=\"30470827\", alpha=\"0.10\", expect_size=\"9141248\"] \n  22 [size=\"111431680\", alpha=\"0.05\", expect_size=\"33429504\"] \n  23 [size=\"146288640\", alpha=\"0.18\", expect_size=\"43886592\"] \n  23 -> 29 [size =\"43886592\"]\n  24 [size=\"165044907\", alpha=\"0.16\", expect_size=\"49513472\"] \n  24 -> 30 [size =\"49513472\"]\n  25 [size=\"139171840\", alpha=\"0.13\", expect_size=\"41751552\"] \n  26 [size=\"53643947\", alpha=\"0.10\", expect_size=\"16093184\"] \n  27 [size=\"76386987\", alpha=\"0.13\", expect_size=\"22916096\"] \n  27 -> 29 [size =\"22916096\"]\n  28 [size=\"98853547\", alpha=\"0.18\", expect_size=\"29656064\"] \n  29 [size=\"123723093\", alpha=\"0.09\", expect_size=\"37116928\"] \n  30 [size=\"82872320\", alpha=\"0.18\", expect_size=\"24861696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45301760\", alpha=\"0.07\", expect_size=\"22650880\"] \n  1 -> 21 [size =\"22650880\"]\n  1 -> 22 [size =\"22650880\"]\n  1 -> 24 [size =\"22650880\"]\n  1 -> 25 [size =\"22650880\"]\n  1 -> 26 [size =\"22650880\"]\n  1 -> 28 [size =\"22650880\"]\n  2 [size=\"38801408\", alpha=\"0.16\", expect_size=\"19400704\"] \n  2 -> 19 [size =\"19400704\"]\n  2 -> 21 [size =\"19400704\"]\n  2 -> 22 [size =\"19400704\"]\n  2 -> 24 [size =\"19400704\"]\n  2 -> 25 [size =\"19400704\"]\n  2 -> 26 [size =\"19400704\"]\n  2 -> 30 [size =\"19400704\"]\n  3 [size=\"90875904\", alpha=\"0.19\", expect_size=\"45437952\"] \n  3 -> 19 [size =\"45437952\"]\n  3 -> 22 [size =\"45437952\"]\n  3 -> 23 [size =\"45437952\"]\n  3 -> 24 [size =\"45437952\"]\n  3 -> 25 [size =\"45437952\"]\n  3 -> 26 [size =\"45437952\"]\n  3 -> 27 [size =\"45437952\"]\n  3 -> 28 [size =\"45437952\"]\n  3 -> 29 [size =\"45437952\"]\n  4 [size=\"94320640\", alpha=\"0.17\", expect_size=\"47160320\"] \n  4 -> 21 [size =\"47160320\"]\n  4 -> 23 [size =\"47160320\"]\n  4 -> 24 [size =\"47160320\"]\n  4 -> 24 [size =\"47160320\"]\n  4 -> 25 [size =\"47160320\"]\n  4 -> 29 [size =\"47160320\"]\n  5 [size=\"88311808\", alpha=\"0.10\", expect_size=\"44155904\"] \n  5 -> 20 [size =\"44155904\"]\n  5 -> 21 [size =\"44155904\"]\n  5 -> 22 [size =\"44155904\"]\n  5 -> 23 [size =\"44155904\"]\n  5 -> 24 [size =\"44155904\"]\n  5 -> 25 [size =\"44155904\"]\n  5 -> 26 [size =\"44155904\"]\n  6 [size=\"40284160\", alpha=\"0.01\", expect_size=\"20142080\"] \n  6 -> 19 [size =\"20142080\"]\n  6 -> 21 [size =\"20142080\"]\n  6 -> 22 [size =\"20142080\"]\n  6 -> 24 [size =\"20142080\"]\n  6 -> 24 [size =\"20142080\"]\n  6 -> 25 [size =\"20142080\"]\n  6 -> 27 [size =\"20142080\"]\n  7 [size=\"34625536\", alpha=\"0.18\", expect_size=\"17312768\"] \n  7 -> 21 [size =\"17312768\"]\n  7 -> 21 [size =\"17312768\"]\n  7 -> 22 [size =\"17312768\"]\n  7 -> 24 [size =\"17312768\"]\n  7 -> 25 [size =\"17312768\"]\n  7 -> 25 [size =\"17312768\"]\n  7 -> 28 [size =\"17312768\"]\n  8 [size=\"104716288\", alpha=\"0.20\", expect_size=\"52358144\"] \n  8 -> 19 [size =\"52358144\"]\n  8 -> 22 [size =\"52358144\"]\n  8 -> 22 [size =\"52358144\"]\n  8 -> 24 [size =\"52358144\"]\n  8 -> 25 [size =\"52358144\"]\n  8 -> 26 [size =\"52358144\"]\n  8 -> 27 [size =\"52358144\"]\n  9 [size=\"49977344\", alpha=\"0.16\", expect_size=\"24988672\"] \n  9 -> 19 [size =\"24988672\"]\n  9 -> 20 [size =\"24988672\"]\n  9 -> 22 [size =\"24988672\"]\n  9 -> 24 [size =\"24988672\"]\n  9 -> 25 [size =\"24988672\"]\n  9 -> 26 [size =\"24988672\"]\n  9 -> 29 [size =\"24988672\"]\n  10 [size=\"10706944\", alpha=\"0.02\", expect_size=\"5353472\"] \n  10 -> 19 [size =\"5353472\"]\n  10 -> 22 [size =\"5353472\"]\n  10 -> 22 [size =\"5353472\"]\n  10 -> 24 [size =\"5353472\"]\n  10 -> 25 [size =\"5353472\"]\n  10 -> 26 [size =\"5353472\"]\n  10 -> 29 [size =\"5353472\"]\n  11 [size=\"15779840\", alpha=\"0.13\", expect_size=\"7889920\"] \n  11 -> 21 [size =\"7889920\"]\n  11 -> 22 [size =\"7889920\"]\n  11 -> 25 [size =\"7889920\"]\n  11 -> 26 [size =\"7889920\"]\n  12 [size=\"46647296\", alpha=\"0.01\", expect_size=\"23323648\"] \n  12 -> 19 [size =\"23323648\"]\n  12 -> 21 [size =\"23323648\"]\n  12 -> 22 [size =\"23323648\"]\n  12 -> 24 [size =\"23323648\"]\n  12 -> 25 [size =\"23323648\"]\n  12 -> 30 [size =\"23323648\"]\n  13 [size=\"28223488\", alpha=\"0.03\", expect_size=\"14111744\"] \n  13 -> 19 [size =\"14111744\"]\n  13 -> 21 [size =\"14111744\"]\n  13 -> 24 [size =\"14111744\"]\n  13 -> 26 [size =\"14111744\"]\n  14 [size=\"21209088\", alpha=\"0.03\", expect_size=\"10604544\"] \n  14 -> 19 [size =\"10604544\"]\n  14 -> 21 [size =\"10604544\"]\n  14 -> 25 [size =\"10604544\"]\n  14 -> 26 [size =\"10604544\"]\n  14 -> 29 [size =\"10604544\"]\n  14 -> 30 [size =\"10604544\"]\n  15 [size=\"99577856\", alpha=\"0.12\", expect_size=\"49788928\"] \n  15 -> 19 [size =\"49788928\"]\n  15 -> 20 [size =\"49788928\"]\n  15 -> 21 [size =\"49788928\"]\n  15 -> 24 [size =\"49788928\"]\n  15 -> 25 [size =\"49788928\"]\n  15 -> 28 [size =\"49788928\"]\n  15 -> 29 [size =\"49788928\"]\n  16 [size=\"52049920\", alpha=\"0.20\", expect_size=\"26024960\"] \n  16 -> 19 [size =\"26024960\"]\n  16 -> 21 [size =\"26024960\"]\n  16 -> 24 [size =\"26024960\"]\n  16 -> 24 [size =\"26024960\"]\n  16 -> 25 [size =\"26024960\"]\n  16 -> 27 [size =\"26024960\"]\n  16 -> 28 [size =\"26024960\"]\n  16 -> 29 [size =\"26024960\"]\n  16 -> 30 [size =\"26024960\"]\n  17 [size=\"54566912\", alpha=\"0.18\", expect_size=\"27283456\"] \n  17 -> 19 [size =\"27283456\"]\n  17 -> 22 [size =\"27283456\"]\n  17 -> 27 [size =\"27283456\"]\n  17 -> 28 [size =\"27283456\"]\n  18 [size=\"47124480\", alpha=\"0.00\", expect_size=\"23562240\"] \n  18 -> 21 [size =\"23562240\"]\n  18 -> 22 [size =\"23562240\"]\n  18 -> 29 [size =\"23562240\"]\n  19 [size=\"46583808\", alpha=\"0.04\", expect_size=\"23291904\"] \n  20 [size=\"26900480\", alpha=\"0.17\", expect_size=\"13450240\"] \n  21 [size=\"36098048\", alpha=\"0.18\", expect_size=\"18049024\"] \n  22 [size=\"99545088\", alpha=\"0.05\", expect_size=\"49772544\"] \n  23 [size=\"104644608\", alpha=\"0.09\", expect_size=\"52322304\"] \n  24 [size=\"23668736\", alpha=\"0.10\", expect_size=\"11834368\"] \n  25 [size=\"38977536\", alpha=\"0.08\", expect_size=\"19488768\"] \n  26 [size=\"93505536\", alpha=\"0.13\", expect_size=\"46752768\"] \n  27 [size=\"92301312\", alpha=\"0.02\", expect_size=\"46150656\"] \n  28 [size=\"85194752\", alpha=\"0.12\", expect_size=\"42597376\"] \n  29 [size=\"86112256\", alpha=\"0.09\", expect_size=\"43056128\"] \n  30 [size=\"103858176\", alpha=\"0.07\", expect_size=\"51929088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75661312\", alpha=\"0.02\", expect_size=\"37830656\"] \n  1 -> 11 [size =\"37830656\"]\n  1 -> 12 [size =\"37830656\"]\n  1 -> 16 [size =\"37830656\"]\n  1 -> 18 [size =\"37830656\"]\n  2 [size=\"94431232\", alpha=\"0.15\", expect_size=\"47215616\"] \n  2 -> 11 [size =\"47215616\"]\n  2 -> 14 [size =\"47215616\"]\n  2 -> 15 [size =\"47215616\"]\n  2 -> 17 [size =\"47215616\"]\n  2 -> 19 [size =\"47215616\"]\n  3 [size=\"99047424\", alpha=\"0.06\", expect_size=\"49523712\"] \n  3 -> 11 [size =\"49523712\"]\n  3 -> 12 [size =\"49523712\"]\n  3 -> 13 [size =\"49523712\"]\n  3 -> 14 [size =\"49523712\"]\n  3 -> 16 [size =\"49523712\"]\n  3 -> 17 [size =\"49523712\"]\n  3 -> 18 [size =\"49523712\"]\n  3 -> 19 [size =\"49523712\"]\n  4 [size=\"97949696\", alpha=\"0.07\", expect_size=\"48974848\"] \n  4 -> 11 [size =\"48974848\"]\n  4 -> 13 [size =\"48974848\"]\n  4 -> 14 [size =\"48974848\"]\n  4 -> 17 [size =\"48974848\"]\n  4 -> 18 [size =\"48974848\"]\n  5 [size=\"90818560\", alpha=\"0.06\", expect_size=\"45409280\"] \n  5 -> 11 [size =\"45409280\"]\n  5 -> 12 [size =\"45409280\"]\n  5 -> 13 [size =\"45409280\"]\n  5 -> 15 [size =\"45409280\"]\n  5 -> 16 [size =\"45409280\"]\n  6 [size=\"42633216\", alpha=\"0.01\", expect_size=\"21316608\"] \n  6 -> 11 [size =\"21316608\"]\n  6 -> 13 [size =\"21316608\"]\n  6 -> 14 [size =\"21316608\"]\n  6 -> 15 [size =\"21316608\"]\n  6 -> 16 [size =\"21316608\"]\n  6 -> 18 [size =\"21316608\"]\n  6 -> 19 [size =\"21316608\"]\n  7 [size=\"40259584\", alpha=\"0.01\", expect_size=\"20129792\"] \n  7 -> 11 [size =\"20129792\"]\n  7 -> 12 [size =\"20129792\"]\n  7 -> 16 [size =\"20129792\"]\n  7 -> 17 [size =\"20129792\"]\n  7 -> 19 [size =\"20129792\"]\n  8 [size=\"99172352\", alpha=\"0.01\", expect_size=\"49586176\"] \n  8 -> 11 [size =\"49586176\"]\n  8 -> 12 [size =\"49586176\"]\n  8 -> 14 [size =\"49586176\"]\n  8 -> 16 [size =\"49586176\"]\n  8 -> 17 [size =\"49586176\"]\n  8 -> 18 [size =\"49586176\"]\n  8 -> 19 [size =\"49586176\"]\n  9 [size=\"101191680\", alpha=\"0.08\", expect_size=\"50595840\"] \n  9 -> 11 [size =\"50595840\"]\n  9 -> 13 [size =\"50595840\"]\n  9 -> 15 [size =\"50595840\"]\n  9 -> 18 [size =\"50595840\"]\n  9 -> 19 [size =\"50595840\"]\n  10 [size=\"55906304\", alpha=\"0.07\", expect_size=\"27953152\"] \n  10 -> 14 [size =\"27953152\"]\n  10 -> 18 [size =\"27953152\"]\n  10 -> 19 [size =\"27953152\"]\n  11 [size=\"28719104\", alpha=\"0.12\", expect_size=\"14359552\"] \n  11 -> 24 [size =\"14359552\"]\n  11 -> 26 [size =\"14359552\"]\n  11 -> 28 [size =\"14359552\"]\n  12 [size=\"38152192\", alpha=\"0.01\", expect_size=\"19076096\"] \n  12 -> 21 [size =\"19076096\"]\n  12 -> 22 [size =\"19076096\"]\n  12 -> 26 [size =\"19076096\"]\n  12 -> 28 [size =\"19076096\"]\n  13 [size=\"14817280\", alpha=\"0.05\", expect_size=\"7408640\"] \n  13 -> 20 [size =\"7408640\"]\n  13 -> 23 [size =\"7408640\"]\n  13 -> 26 [size =\"7408640\"]\n  13 -> 28 [size =\"7408640\"]\n  13 -> 29 [size =\"7408640\"]\n  14 [size=\"44773376\", alpha=\"0.01\", expect_size=\"22386688\"] \n  14 -> 21 [size =\"22386688\"]\n  14 -> 22 [size =\"22386688\"]\n  14 -> 23 [size =\"22386688\"]\n  14 -> 24 [size =\"22386688\"]\n  15 [size=\"75753472\", alpha=\"0.08\", expect_size=\"37876736\"] \n  15 -> 21 [size =\"37876736\"]\n  15 -> 22 [size =\"37876736\"]\n  15 -> 25 [size =\"37876736\"]\n  15 -> 29 [size =\"37876736\"]\n  16 [size=\"102932480\", alpha=\"0.06\", expect_size=\"51466240\"] \n  16 -> 20 [size =\"51466240\"]\n  16 -> 21 [size =\"51466240\"]\n  16 -> 22 [size =\"51466240\"]\n  16 -> 25 [size =\"51466240\"]\n  16 -> 29 [size =\"51466240\"]\n  17 [size=\"11997184\", alpha=\"0.10\", expect_size=\"5998592\"] \n  18 [size=\"15085568\", alpha=\"0.07\", expect_size=\"7542784\"] \n  18 -> 20 [size =\"7542784\"]\n  18 -> 21 [size =\"7542784\"]\n  18 -> 24 [size =\"7542784\"]\n  18 -> 25 [size =\"7542784\"]\n  18 -> 27 [size =\"7542784\"]\n  19 [size=\"20303872\", alpha=\"0.09\", expect_size=\"10151936\"] \n  19 -> 20 [size =\"10151936\"]\n  19 -> 21 [size =\"10151936\"]\n  19 -> 24 [size =\"10151936\"]\n  19 -> 25 [size =\"10151936\"]\n  19 -> 28 [size =\"10151936\"]\n  20 [size=\"56664064\", alpha=\"0.18\", expect_size=\"28332032\"] \n  21 [size=\"90230784\", alpha=\"0.02\", expect_size=\"45115392\"] \n  22 [size=\"51798016\", alpha=\"0.03\", expect_size=\"25899008\"] \n  22 -> 30 [size =\"25899008\"]\n  23 [size=\"56512512\", alpha=\"0.03\", expect_size=\"28256256\"] \n  23 -> 30 [size =\"28256256\"]\n  24 [size=\"80607232\", alpha=\"0.02\", expect_size=\"40303616\"] \n  24 -> 30 [size =\"40303616\"]\n  25 [size=\"85800960\", alpha=\"0.18\", expect_size=\"42900480\"] \n  25 -> 30 [size =\"42900480\"]\n  26 [size=\"28184576\", alpha=\"0.00\", expect_size=\"14092288\"] \n  26 -> 30 [size =\"14092288\"]\n  27 [size=\"54433792\", alpha=\"0.09\", expect_size=\"27216896\"] \n  27 -> 30 [size =\"27216896\"]\n  28 [size=\"102064128\", alpha=\"0.16\", expect_size=\"51032064\"] \n  28 -> 30 [size =\"51032064\"]\n  29 [size=\"38434816\", alpha=\"0.03\", expect_size=\"19217408\"] \n  29 -> 30 [size =\"19217408\"]\n  30 [size=\"79538176\", alpha=\"0.20\", expect_size=\"39769088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105134080\", alpha=\"0.16\", expect_size=\"31540224\"] \n  1 -> 14 [size =\"31540224\"]\n  1 -> 17 [size =\"31540224\"]\n  1 -> 18 [size =\"31540224\"]\n  1 -> 21 [size =\"31540224\"]\n  1 -> 24 [size =\"31540224\"]\n  2 [size=\"171318613\", alpha=\"0.18\", expect_size=\"51395584\"] \n  2 -> 15 [size =\"51395584\"]\n  2 -> 18 [size =\"51395584\"]\n  2 -> 18 [size =\"51395584\"]\n  2 -> 20 [size =\"51395584\"]\n  2 -> 22 [size =\"51395584\"]\n  2 -> 24 [size =\"51395584\"]\n  3 [size=\"89169920\", alpha=\"0.02\", expect_size=\"26750976\"] \n  3 -> 13 [size =\"26750976\"]\n  3 -> 17 [size =\"26750976\"]\n  3 -> 18 [size =\"26750976\"]\n  3 -> 20 [size =\"26750976\"]\n  3 -> 22 [size =\"26750976\"]\n  3 -> 24 [size =\"26750976\"]\n  4 [size=\"21992107\", alpha=\"0.15\", expect_size=\"6597632\"] \n  4 -> 13 [size =\"6597632\"]\n  4 -> 14 [size =\"6597632\"]\n  4 -> 17 [size =\"6597632\"]\n  4 -> 20 [size =\"6597632\"]\n  4 -> 21 [size =\"6597632\"]\n  4 -> 24 [size =\"6597632\"]\n  5 [size=\"50933760\", alpha=\"0.13\", expect_size=\"15280128\"] \n  5 -> 13 [size =\"15280128\"]\n  5 -> 14 [size =\"15280128\"]\n  5 -> 20 [size =\"15280128\"]\n  5 -> 20 [size =\"15280128\"]\n  5 -> 21 [size =\"15280128\"]\n  5 -> 24 [size =\"15280128\"]\n  6 [size=\"43035307\", alpha=\"0.13\", expect_size=\"12910592\"] \n  6 -> 13 [size =\"12910592\"]\n  6 -> 14 [size =\"12910592\"]\n  6 -> 16 [size =\"12910592\"]\n  6 -> 17 [size =\"12910592\"]\n  6 -> 20 [size =\"12910592\"]\n  6 -> 22 [size =\"12910592\"]\n  6 -> 23 [size =\"12910592\"]\n  6 -> 24 [size =\"12910592\"]\n  7 [size=\"130587307\", alpha=\"0.10\", expect_size=\"39176192\"] \n  7 -> 13 [size =\"39176192\"]\n  7 -> 14 [size =\"39176192\"]\n  7 -> 16 [size =\"39176192\"]\n  7 -> 20 [size =\"39176192\"]\n  7 -> 21 [size =\"39176192\"]\n  7 -> 22 [size =\"39176192\"]\n  7 -> 24 [size =\"39176192\"]\n  7 -> 24 [size =\"39176192\"]\n  8 [size=\"158433280\", alpha=\"0.19\", expect_size=\"47529984\"] \n  8 -> 13 [size =\"47529984\"]\n  8 -> 16 [size =\"47529984\"]\n  8 -> 22 [size =\"47529984\"]\n  8 -> 24 [size =\"47529984\"]\n  9 [size=\"118725973\", alpha=\"0.02\", expect_size=\"35617792\"] \n  9 -> 14 [size =\"35617792\"]\n  9 -> 20 [size =\"35617792\"]\n  9 -> 22 [size =\"35617792\"]\n  9 -> 24 [size =\"35617792\"]\n  10 [size=\"77260800\", alpha=\"0.04\", expect_size=\"23178240\"] \n  10 -> 13 [size =\"23178240\"]\n  10 -> 16 [size =\"23178240\"]\n  10 -> 17 [size =\"23178240\"]\n  10 -> 19 [size =\"23178240\"]\n  10 -> 20 [size =\"23178240\"]\n  10 -> 24 [size =\"23178240\"]\n  11 [size=\"132532907\", alpha=\"0.17\", expect_size=\"39759872\"] \n  11 -> 14 [size =\"39759872\"]\n  11 -> 15 [size =\"39759872\"]\n  11 -> 17 [size =\"39759872\"]\n  11 -> 22 [size =\"39759872\"]\n  12 [size=\"104383147\", alpha=\"0.08\", expect_size=\"31314944\"] \n  12 -> 15 [size =\"31314944\"]\n  12 -> 20 [size =\"31314944\"]\n  12 -> 21 [size =\"31314944\"]\n  12 -> 22 [size =\"31314944\"]\n  13 [size=\"91914240\", alpha=\"0.19\", expect_size=\"27574272\"] \n  13 -> 26 [size =\"27574272\"]\n  13 -> 27 [size =\"27574272\"]\n  14 [size=\"110510080\", alpha=\"0.15\", expect_size=\"33153024\"] \n  14 -> 26 [size =\"33153024\"]\n  14 -> 28 [size =\"33153024\"]\n  15 [size=\"70417067\", alpha=\"0.02\", expect_size=\"21125120\"] \n  15 -> 26 [size =\"21125120\"]\n  15 -> 27 [size =\"21125120\"]\n  15 -> 28 [size =\"21125120\"]\n  16 [size=\"18715307\", alpha=\"0.02\", expect_size=\"5614592\"] \n  16 -> 26 [size =\"5614592\"]\n  16 -> 29 [size =\"5614592\"]\n  17 [size=\"119500800\", alpha=\"0.11\", expect_size=\"35850240\"] \n  17 -> 26 [size =\"35850240\"]\n  18 [size=\"38751573\", alpha=\"0.06\", expect_size=\"11625472\"] \n  18 -> 25 [size =\"11625472\"]\n  18 -> 26 [size =\"11625472\"]\n  18 -> 28 [size =\"11625472\"]\n  19 [size=\"29235200\", alpha=\"0.01\", expect_size=\"8770560\"] \n  19 -> 26 [size =\"8770560\"]\n  19 -> 26 [size =\"8770560\"]\n  19 -> 27 [size =\"8770560\"]\n  19 -> 28 [size =\"8770560\"]\n  20 [size=\"46315520\", alpha=\"0.09\", expect_size=\"13894656\"] \n  20 -> 25 [size =\"13894656\"]\n  21 [size=\"74929493\", alpha=\"0.09\", expect_size=\"22478848\"] \n  21 -> 25 [size =\"22478848\"]\n  21 -> 26 [size =\"22478848\"]\n  21 -> 27 [size =\"22478848\"]\n  21 -> 28 [size =\"22478848\"]\n  21 -> 29 [size =\"22478848\"]\n  22 [size=\"52555093\", alpha=\"0.08\", expect_size=\"15766528\"] \n  22 -> 26 [size =\"15766528\"]\n  22 -> 27 [size =\"15766528\"]\n  23 [size=\"119012693\", alpha=\"0.17\", expect_size=\"35703808\"] \n  23 -> 25 [size =\"35703808\"]\n  23 -> 27 [size =\"35703808\"]\n  24 [size=\"110769493\", alpha=\"0.06\", expect_size=\"33230848\"] \n  24 -> 27 [size =\"33230848\"]\n  24 -> 28 [size =\"33230848\"]\n  25 [size=\"67628373\", alpha=\"0.19\", expect_size=\"20288512\"] \n  26 [size=\"80704853\", alpha=\"0.15\", expect_size=\"24211456\"] \n  27 [size=\"98013867\", alpha=\"0.06\", expect_size=\"29404160\"] \n  27 -> 30 [size =\"29404160\"]\n  28 [size=\"30600533\", alpha=\"0.15\", expect_size=\"9180160\"] \n  29 [size=\"78332587\", alpha=\"0.17\", expect_size=\"23499776\"] \n  30 [size=\"83244373\", alpha=\"0.06\", expect_size=\"24973312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63567360\", alpha=\"0.01\", expect_size=\"25426944\"] \n  2 [size=\"21450240\", alpha=\"0.02\", expect_size=\"8580096\"] \n  2 -> 17 [size =\"8580096\"]\n  2 -> 18 [size =\"8580096\"]\n  3 [size=\"69437440\", alpha=\"0.18\", expect_size=\"27774976\"] \n  3 -> 17 [size =\"27774976\"]\n  3 -> 18 [size =\"27774976\"]\n  4 [size=\"88038400\", alpha=\"0.13\", expect_size=\"35215360\"] \n  4 -> 15 [size =\"35215360\"]\n  4 -> 18 [size =\"35215360\"]\n  5 [size=\"81423360\", alpha=\"0.01\", expect_size=\"32569344\"] \n  5 -> 16 [size =\"32569344\"]\n  5 -> 17 [size =\"32569344\"]\n  5 -> 19 [size =\"32569344\"]\n  6 [size=\"129848320\", alpha=\"0.05\", expect_size=\"51939328\"] \n  6 -> 16 [size =\"51939328\"]\n  6 -> 17 [size =\"51939328\"]\n  6 -> 18 [size =\"51939328\"]\n  7 [size=\"87249920\", alpha=\"0.19\", expect_size=\"34899968\"] \n  7 -> 16 [size =\"34899968\"]\n  7 -> 17 [size =\"34899968\"]\n  7 -> 19 [size =\"34899968\"]\n  8 [size=\"55452160\", alpha=\"0.07\", expect_size=\"22180864\"] \n  8 -> 16 [size =\"22180864\"]\n  8 -> 18 [size =\"22180864\"]\n  9 [size=\"111424000\", alpha=\"0.17\", expect_size=\"44569600\"] \n  9 -> 15 [size =\"44569600\"]\n  9 -> 16 [size =\"44569600\"]\n  9 -> 18 [size =\"44569600\"]\n  10 [size=\"105968640\", alpha=\"0.01\", expect_size=\"42387456\"] \n  10 -> 16 [size =\"42387456\"]\n  10 -> 17 [size =\"42387456\"]\n  11 [size=\"46100480\", alpha=\"0.13\", expect_size=\"18440192\"] \n  11 -> 16 [size =\"18440192\"]\n  11 -> 18 [size =\"18440192\"]\n  12 [size=\"51325440\", alpha=\"0.07\", expect_size=\"20530176\"] \n  13 [size=\"62151680\", alpha=\"0.04\", expect_size=\"24860672\"] \n  13 -> 16 [size =\"24860672\"]\n  13 -> 17 [size =\"24860672\"]\n  14 [size=\"53091840\", alpha=\"0.19\", expect_size=\"21236736\"] \n  14 -> 15 [size =\"21236736\"]\n  15 [size=\"13880320\", alpha=\"0.07\", expect_size=\"5552128\"] \n  15 -> 20 [size =\"5552128\"]\n  15 -> 22 [size =\"5552128\"]\n  15 -> 23 [size =\"5552128\"]\n  16 [size=\"21212160\", alpha=\"0.11\", expect_size=\"8484864\"] \n  16 -> 21 [size =\"8484864\"]\n  16 -> 25 [size =\"8484864\"]\n  17 [size=\"51317760\", alpha=\"0.05\", expect_size=\"20527104\"] \n  17 -> 21 [size =\"20527104\"]\n  17 -> 22 [size =\"20527104\"]\n  17 -> 24 [size =\"20527104\"]\n  17 -> 25 [size =\"20527104\"]\n  18 [size=\"45854720\", alpha=\"0.18\", expect_size=\"18341888\"] \n  18 -> 20 [size =\"18341888\"]\n  18 -> 23 [size =\"18341888\"]\n  18 -> 24 [size =\"18341888\"]\n  18 -> 25 [size =\"18341888\"]\n  19 [size=\"86051840\", alpha=\"0.16\", expect_size=\"34420736\"] \n  19 -> 20 [size =\"34420736\"]\n  19 -> 21 [size =\"34420736\"]\n  19 -> 22 [size =\"34420736\"]\n  19 -> 24 [size =\"34420736\"]\n  20 [size=\"68807680\", alpha=\"0.14\", expect_size=\"27523072\"] \n  20 -> 26 [size =\"27523072\"]\n  20 -> 28 [size =\"27523072\"]\n  20 -> 30 [size =\"27523072\"]\n  21 [size=\"73047040\", alpha=\"0.00\", expect_size=\"29218816\"] \n  22 [size=\"32670720\", alpha=\"0.08\", expect_size=\"13068288\"] \n  22 -> 27 [size =\"13068288\"]\n  22 -> 28 [size =\"13068288\"]\n  22 -> 29 [size =\"13068288\"]\n  22 -> 30 [size =\"13068288\"]\n  23 [size=\"72622080\", alpha=\"0.06\", expect_size=\"29048832\"] \n  23 -> 27 [size =\"29048832\"]\n  24 [size=\"95480320\", alpha=\"0.16\", expect_size=\"38192128\"] \n  24 -> 29 [size =\"38192128\"]\n  25 [size=\"91061760\", alpha=\"0.18\", expect_size=\"36424704\"] \n  26 [size=\"15242240\", alpha=\"0.20\", expect_size=\"6096896\"] \n  27 [size=\"78848000\", alpha=\"0.14\", expect_size=\"31539200\"] \n  28 [size=\"108899840\", alpha=\"0.15\", expect_size=\"43559936\"] \n  29 [size=\"99481600\", alpha=\"0.13\", expect_size=\"39792640\"] \n  30 [size=\"74880000\", alpha=\"0.07\", expect_size=\"29952000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140755627\", alpha=\"0.06\", expect_size=\"42226688\"] \n  1 -> 16 [size =\"42226688\"]\n  1 -> 18 [size =\"42226688\"]\n  1 -> 19 [size =\"42226688\"]\n  1 -> 21 [size =\"42226688\"]\n  1 -> 22 [size =\"42226688\"]\n  1 -> 25 [size =\"42226688\"]\n  1 -> 27 [size =\"42226688\"]\n  1 -> 28 [size =\"42226688\"]\n  1 -> 30 [size =\"42226688\"]\n  2 [size=\"26757120\", alpha=\"0.03\", expect_size=\"8027136\"] \n  2 -> 19 [size =\"8027136\"]\n  2 -> 20 [size =\"8027136\"]\n  2 -> 22 [size =\"8027136\"]\n  2 -> 26 [size =\"8027136\"]\n  3 [size=\"62545920\", alpha=\"0.10\", expect_size=\"18763776\"] \n  3 -> 15 [size =\"18763776\"]\n  3 -> 16 [size =\"18763776\"]\n  3 -> 19 [size =\"18763776\"]\n  3 -> 20 [size =\"18763776\"]\n  3 -> 21 [size =\"18763776\"]\n  3 -> 22 [size =\"18763776\"]\n  3 -> 25 [size =\"18763776\"]\n  4 [size=\"123234987\", alpha=\"0.15\", expect_size=\"36970496\"] \n  4 -> 15 [size =\"36970496\"]\n  4 -> 18 [size =\"36970496\"]\n  4 -> 20 [size =\"36970496\"]\n  4 -> 22 [size =\"36970496\"]\n  4 -> 23 [size =\"36970496\"]\n  4 -> 27 [size =\"36970496\"]\n  4 -> 28 [size =\"36970496\"]\n  4 -> 30 [size =\"36970496\"]\n  5 [size=\"55866027\", alpha=\"0.09\", expect_size=\"16759808\"] \n  5 -> 15 [size =\"16759808\"]\n  5 -> 16 [size =\"16759808\"]\n  5 -> 18 [size =\"16759808\"]\n  5 -> 20 [size =\"16759808\"]\n  5 -> 23 [size =\"16759808\"]\n  5 -> 25 [size =\"16759808\"]\n  5 -> 26 [size =\"16759808\"]\n  5 -> 27 [size =\"16759808\"]\n  5 -> 28 [size =\"16759808\"]\n  6 [size=\"82537813\", alpha=\"0.16\", expect_size=\"24761344\"] \n  6 -> 15 [size =\"24761344\"]\n  6 -> 19 [size =\"24761344\"]\n  6 -> 20 [size =\"24761344\"]\n  6 -> 22 [size =\"24761344\"]\n  6 -> 25 [size =\"24761344\"]\n  6 -> 26 [size =\"24761344\"]\n  6 -> 27 [size =\"24761344\"]\n  6 -> 27 [size =\"24761344\"]\n  7 [size=\"67024213\", alpha=\"0.10\", expect_size=\"20107264\"] \n  7 -> 16 [size =\"20107264\"]\n  7 -> 19 [size =\"20107264\"]\n  7 -> 20 [size =\"20107264\"]\n  7 -> 21 [size =\"20107264\"]\n  7 -> 22 [size =\"20107264\"]\n  7 -> 25 [size =\"20107264\"]\n  7 -> 26 [size =\"20107264\"]\n  8 [size=\"87261867\", alpha=\"0.16\", expect_size=\"26178560\"] \n  8 -> 16 [size =\"26178560\"]\n  8 -> 18 [size =\"26178560\"]\n  8 -> 20 [size =\"26178560\"]\n  8 -> 21 [size =\"26178560\"]\n  8 -> 22 [size =\"26178560\"]\n  8 -> 25 [size =\"26178560\"]\n  8 -> 26 [size =\"26178560\"]\n  9 [size=\"106789547\", alpha=\"0.20\", expect_size=\"32036864\"] \n  9 -> 15 [size =\"32036864\"]\n  9 -> 16 [size =\"32036864\"]\n  9 -> 21 [size =\"32036864\"]\n  9 -> 25 [size =\"32036864\"]\n  9 -> 26 [size =\"32036864\"]\n  9 -> 29 [size =\"32036864\"]\n  10 [size=\"92712960\", alpha=\"0.03\", expect_size=\"27813888\"] \n  10 -> 15 [size =\"27813888\"]\n  10 -> 16 [size =\"27813888\"]\n  10 -> 20 [size =\"27813888\"]\n  10 -> 21 [size =\"27813888\"]\n  10 -> 24 [size =\"27813888\"]\n  10 -> 25 [size =\"27813888\"]\n  10 -> 26 [size =\"27813888\"]\n  11 [size=\"147944107\", alpha=\"0.16\", expect_size=\"44383232\"] \n  11 -> 16 [size =\"44383232\"]\n  11 -> 17 [size =\"44383232\"]\n  11 -> 18 [size =\"44383232\"]\n  11 -> 20 [size =\"44383232\"]\n  11 -> 22 [size =\"44383232\"]\n  11 -> 24 [size =\"44383232\"]\n  11 -> 26 [size =\"44383232\"]\n  12 [size=\"36386133\", alpha=\"0.01\", expect_size=\"10915840\"] \n  12 -> 15 [size =\"10915840\"]\n  12 -> 20 [size =\"10915840\"]\n  12 -> 21 [size =\"10915840\"]\n  12 -> 23 [size =\"10915840\"]\n  12 -> 25 [size =\"10915840\"]\n  12 -> 29 [size =\"10915840\"]\n  13 [size=\"60726613\", alpha=\"0.16\", expect_size=\"18217984\"] \n  13 -> 16 [size =\"18217984\"]\n  13 -> 20 [size =\"18217984\"]\n  13 -> 22 [size =\"18217984\"]\n  13 -> 23 [size =\"18217984\"]\n  13 -> 25 [size =\"18217984\"]\n  13 -> 27 [size =\"18217984\"]\n  13 -> 30 [size =\"18217984\"]\n  14 [size=\"137683627\", alpha=\"0.01\", expect_size=\"41305088\"] \n  14 -> 16 [size =\"41305088\"]\n  14 -> 20 [size =\"41305088\"]\n  14 -> 25 [size =\"41305088\"]\n  14 -> 30 [size =\"41305088\"]\n  15 [size=\"95255893\", alpha=\"0.12\", expect_size=\"28576768\"] \n  16 [size=\"163256320\", alpha=\"0.01\", expect_size=\"48976896\"] \n  17 [size=\"132037973\", alpha=\"0.18\", expect_size=\"39611392\"] \n  18 [size=\"56589653\", alpha=\"0.06\", expect_size=\"16976896\"] \n  19 [size=\"25337173\", alpha=\"0.10\", expect_size=\"7601152\"] \n  20 [size=\"25238187\", alpha=\"0.02\", expect_size=\"7571456\"] \n  21 [size=\"51428693\", alpha=\"0.09\", expect_size=\"15428608\"] \n  22 [size=\"19220480\", alpha=\"0.17\", expect_size=\"5766144\"] \n  23 [size=\"28173653\", alpha=\"0.11\", expect_size=\"8452096\"] \n  24 [size=\"155975680\", alpha=\"0.18\", expect_size=\"46792704\"] \n  25 [size=\"160993280\", alpha=\"0.11\", expect_size=\"48297984\"] \n  26 [size=\"99840000\", alpha=\"0.11\", expect_size=\"29952000\"] \n  27 [size=\"107847680\", alpha=\"0.18\", expect_size=\"32354304\"] \n  28 [size=\"92760747\", alpha=\"0.14\", expect_size=\"27828224\"] \n  29 [size=\"140663467\", alpha=\"0.01\", expect_size=\"42199040\"] \n  30 [size=\"65396053\", alpha=\"0.18\", expect_size=\"19618816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68744533\", alpha=\"0.16\", expect_size=\"20623360\"] \n  1 -> 2 [size =\"20623360\"]\n  2 [size=\"52005547\", alpha=\"0.19\", expect_size=\"15601664\"] \n  2 -> 3 [size =\"15601664\"]\n  3 [size=\"131577173\", alpha=\"0.04\", expect_size=\"39473152\"] \n  3 -> 4 [size =\"39473152\"]\n  4 [size=\"116432213\", alpha=\"0.05\", expect_size=\"34929664\"] \n  4 -> 5 [size =\"34929664\"]\n  5 [size=\"116971520\", alpha=\"0.02\", expect_size=\"35091456\"] \n  5 -> 6 [size =\"35091456\"]\n  6 [size=\"75421013\", alpha=\"0.08\", expect_size=\"22626304\"] \n  6 -> 7 [size =\"22626304\"]\n  7 [size=\"67908267\", alpha=\"0.10\", expect_size=\"20372480\"] \n  7 -> 8 [size =\"20372480\"]\n  8 [size=\"63447040\", alpha=\"0.09\", expect_size=\"19034112\"] \n  8 -> 9 [size =\"19034112\"]\n  9 [size=\"173547520\", alpha=\"0.15\", expect_size=\"52064256\"] \n  9 -> 10 [size =\"52064256\"]\n  10 [size=\"174192640\", alpha=\"0.09\", expect_size=\"52257792\"] \n  10 -> 11 [size =\"52257792\"]\n  11 [size=\"115350187\", alpha=\"0.01\", expect_size=\"34605056\"] \n  11 -> 12 [size =\"34605056\"]\n  12 [size=\"84998827\", alpha=\"0.18\", expect_size=\"25499648\"] \n  12 -> 13 [size =\"25499648\"]\n  13 [size=\"80353280\", alpha=\"0.15\", expect_size=\"24105984\"] \n  13 -> 14 [size =\"24105984\"]\n  14 [size=\"115087360\", alpha=\"0.11\", expect_size=\"34526208\"] \n  14 -> 15 [size =\"34526208\"]\n  15 [size=\"152186880\", alpha=\"0.08\", expect_size=\"45656064\"] \n  15 -> 16 [size =\"45656064\"]\n  16 [size=\"164454400\", alpha=\"0.04\", expect_size=\"49336320\"] \n  16 -> 17 [size =\"49336320\"]\n  17 [size=\"67502080\", alpha=\"0.08\", expect_size=\"20250624\"] \n  17 -> 18 [size =\"20250624\"]\n  18 [size=\"149466453\", alpha=\"0.01\", expect_size=\"44839936\"] \n  18 -> 19 [size =\"44839936\"]\n  19 [size=\"64843093\", alpha=\"0.01\", expect_size=\"19452928\"] \n  19 -> 20 [size =\"19452928\"]\n  20 [size=\"23961600\", alpha=\"0.15\", expect_size=\"7188480\"] \n  20 -> 21 [size =\"7188480\"]\n  21 [size=\"94194347\", alpha=\"0.14\", expect_size=\"28258304\"] \n  21 -> 22 [size =\"28258304\"]\n  22 [size=\"100713813\", alpha=\"0.18\", expect_size=\"30214144\"] \n  22 -> 23 [size =\"30214144\"]\n  23 [size=\"86685013\", alpha=\"0.17\", expect_size=\"26005504\"] \n  23 -> 24 [size =\"26005504\"]\n  24 [size=\"50578773\", alpha=\"0.08\", expect_size=\"15173632\"] \n  24 -> 25 [size =\"15173632\"]\n  25 [size=\"139106987\", alpha=\"0.12\", expect_size=\"41732096\"] \n  25 -> 26 [size =\"41732096\"]\n  26 [size=\"42622293\", alpha=\"0.03\", expect_size=\"12786688\"] \n  26 -> 27 [size =\"12786688\"]\n  27 [size=\"77216427\", alpha=\"0.01\", expect_size=\"23164928\"] \n  27 -> 28 [size =\"23164928\"]\n  28 [size=\"138980693\", alpha=\"0.04\", expect_size=\"41694208\"] \n  28 -> 29 [size =\"41694208\"]\n  29 [size=\"145704960\", alpha=\"0.07\", expect_size=\"43711488\"] \n  29 -> 30 [size =\"43711488\"]\n  30 [size=\"156883627\", alpha=\"0.11\", expect_size=\"47065088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13127680\", alpha=\"0.11\", expect_size=\"5251072\"] \n  1 -> 24 [size =\"5251072\"]\n  1 -> 28 [size =\"5251072\"]\n  2 [size=\"66083840\", alpha=\"0.17\", expect_size=\"26433536\"] \n  2 -> 26 [size =\"26433536\"]\n  2 -> 28 [size =\"26433536\"]\n  3 [size=\"15057920\", alpha=\"0.11\", expect_size=\"6023168\"] \n  3 -> 24 [size =\"6023168\"]\n  3 -> 30 [size =\"6023168\"]\n  4 [size=\"51973120\", alpha=\"0.09\", expect_size=\"20789248\"] \n  4 -> 24 [size =\"20789248\"]\n  4 -> 25 [size =\"20789248\"]\n  4 -> 27 [size =\"20789248\"]\n  4 -> 28 [size =\"20789248\"]\n  5 [size=\"39265280\", alpha=\"0.03\", expect_size=\"15706112\"] \n  5 -> 28 [size =\"15706112\"]\n  6 [size=\"129195520\", alpha=\"0.19\", expect_size=\"51678208\"] \n  7 [size=\"86295040\", alpha=\"0.07\", expect_size=\"34518016\"] \n  7 -> 30 [size =\"34518016\"]\n  8 [size=\"65863680\", alpha=\"0.05\", expect_size=\"26345472\"] \n  8 -> 24 [size =\"26345472\"]\n  8 -> 27 [size =\"26345472\"]\n  8 -> 28 [size =\"26345472\"]\n  8 -> 30 [size =\"26345472\"]\n  9 [size=\"122782720\", alpha=\"0.18\", expect_size=\"49113088\"] \n  10 [size=\"43904000\", alpha=\"0.10\", expect_size=\"17561600\"] \n  10 -> 24 [size =\"17561600\"]\n  10 -> 26 [size =\"17561600\"]\n  11 [size=\"44963840\", alpha=\"0.09\", expect_size=\"17985536\"] \n  11 -> 24 [size =\"17985536\"]\n  11 -> 25 [size =\"17985536\"]\n  12 [size=\"107904000\", alpha=\"0.03\", expect_size=\"43161600\"] \n  12 -> 24 [size =\"43161600\"]\n  12 -> 25 [size =\"43161600\"]\n  12 -> 26 [size =\"43161600\"]\n  12 -> 30 [size =\"43161600\"]\n  13 [size=\"89382400\", alpha=\"0.15\", expect_size=\"35752960\"] \n  13 -> 24 [size =\"35752960\"]\n  13 -> 30 [size =\"35752960\"]\n  14 [size=\"34775040\", alpha=\"0.12\", expect_size=\"13910016\"] \n  14 -> 24 [size =\"13910016\"]\n  14 -> 25 [size =\"13910016\"]\n  15 [size=\"87792640\", alpha=\"0.10\", expect_size=\"35117056\"] \n  15 -> 24 [size =\"35117056\"]\n  15 -> 26 [size =\"35117056\"]\n  15 -> 27 [size =\"35117056\"]\n  15 -> 30 [size =\"35117056\"]\n  16 [size=\"108254720\", alpha=\"0.15\", expect_size=\"43301888\"] \n  17 [size=\"104335360\", alpha=\"0.17\", expect_size=\"41734144\"] \n  17 -> 25 [size =\"41734144\"]\n  18 [size=\"28047360\", alpha=\"0.04\", expect_size=\"11218944\"] \n  18 -> 24 [size =\"11218944\"]\n  18 -> 25 [size =\"11218944\"]\n  18 -> 26 [size =\"11218944\"]\n  18 -> 27 [size =\"11218944\"]\n  19 [size=\"56931840\", alpha=\"0.04\", expect_size=\"22772736\"] \n  19 -> 25 [size =\"22772736\"]\n  20 [size=\"45281280\", alpha=\"0.05\", expect_size=\"18112512\"] \n  20 -> 27 [size =\"18112512\"]\n  21 [size=\"105244160\", alpha=\"0.07\", expect_size=\"42097664\"] \n  21 -> 24 [size =\"42097664\"]\n  21 -> 27 [size =\"42097664\"]\n  21 -> 30 [size =\"42097664\"]\n  22 [size=\"37422080\", alpha=\"0.17\", expect_size=\"14968832\"] \n  22 -> 28 [size =\"14968832\"]\n  22 -> 30 [size =\"14968832\"]\n  23 [size=\"53916160\", alpha=\"0.08\", expect_size=\"21566464\"] \n  23 -> 25 [size =\"21566464\"]\n  23 -> 29 [size =\"21566464\"]\n  23 -> 30 [size =\"21566464\"]\n  24 [size=\"23818240\", alpha=\"0.05\", expect_size=\"9527296\"] \n  25 [size=\"92490240\", alpha=\"0.07\", expect_size=\"36996096\"] \n  26 [size=\"35266560\", alpha=\"0.08\", expect_size=\"14106624\"] \n  27 [size=\"123187200\", alpha=\"0.02\", expect_size=\"49274880\"] \n  28 [size=\"103897600\", alpha=\"0.05\", expect_size=\"41559040\"] \n  29 [size=\"125155840\", alpha=\"0.06\", expect_size=\"50062336\"] \n  30 [size=\"31769600\", alpha=\"0.12\", expect_size=\"12707840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47992832\", alpha=\"0.09\", expect_size=\"23996416\"] \n  1 -> 16 [size =\"23996416\"]\n  1 -> 18 [size =\"23996416\"]\n  2 [size=\"50862080\", alpha=\"0.05\", expect_size=\"25431040\"] \n  2 -> 16 [size =\"25431040\"]\n  2 -> 17 [size =\"25431040\"]\n  2 -> 19 [size =\"25431040\"]\n  3 [size=\"15159296\", alpha=\"0.13\", expect_size=\"7579648\"] \n  3 -> 12 [size =\"7579648\"]\n  3 -> 15 [size =\"7579648\"]\n  3 -> 18 [size =\"7579648\"]\n  4 [size=\"61913088\", alpha=\"0.17\", expect_size=\"30956544\"] \n  4 -> 11 [size =\"30956544\"]\n  4 -> 12 [size =\"30956544\"]\n  4 -> 13 [size =\"30956544\"]\n  4 -> 16 [size =\"30956544\"]\n  4 -> 17 [size =\"30956544\"]\n  5 [size=\"60192768\", alpha=\"0.12\", expect_size=\"30096384\"] \n  5 -> 12 [size =\"30096384\"]\n  5 -> 12 [size =\"30096384\"]\n  5 -> 15 [size =\"30096384\"]\n  5 -> 17 [size =\"30096384\"]\n  5 -> 17 [size =\"30096384\"]\n  5 -> 18 [size =\"30096384\"]\n  6 [size=\"36737024\", alpha=\"0.14\", expect_size=\"18368512\"] \n  6 -> 12 [size =\"18368512\"]\n  6 -> 14 [size =\"18368512\"]\n  6 -> 15 [size =\"18368512\"]\n  6 -> 16 [size =\"18368512\"]\n  6 -> 17 [size =\"18368512\"]\n  6 -> 18 [size =\"18368512\"]\n  6 -> 19 [size =\"18368512\"]\n  7 [size=\"80680960\", alpha=\"0.06\", expect_size=\"40340480\"] \n  7 -> 11 [size =\"40340480\"]\n  7 -> 12 [size =\"40340480\"]\n  7 -> 15 [size =\"40340480\"]\n  7 -> 17 [size =\"40340480\"]\n  7 -> 17 [size =\"40340480\"]\n  7 -> 18 [size =\"40340480\"]\n  7 -> 19 [size =\"40340480\"]\n  8 [size=\"27938816\", alpha=\"0.08\", expect_size=\"13969408\"] \n  8 -> 11 [size =\"13969408\"]\n  8 -> 12 [size =\"13969408\"]\n  8 -> 15 [size =\"13969408\"]\n  8 -> 17 [size =\"13969408\"]\n  8 -> 18 [size =\"13969408\"]\n  8 -> 19 [size =\"13969408\"]\n  9 [size=\"16494592\", alpha=\"0.05\", expect_size=\"8247296\"] \n  9 -> 11 [size =\"8247296\"]\n  9 -> 12 [size =\"8247296\"]\n  9 -> 15 [size =\"8247296\"]\n  9 -> 17 [size =\"8247296\"]\n  9 -> 19 [size =\"8247296\"]\n  10 [size=\"93769728\", alpha=\"0.18\", expect_size=\"46884864\"] \n  10 -> 11 [size =\"46884864\"]\n  10 -> 12 [size =\"46884864\"]\n  10 -> 13 [size =\"46884864\"]\n  10 -> 15 [size =\"46884864\"]\n  10 -> 16 [size =\"46884864\"]\n  10 -> 18 [size =\"46884864\"]\n  11 [size=\"98588672\", alpha=\"0.05\", expect_size=\"49294336\"] \n  11 -> 20 [size =\"49294336\"]\n  11 -> 22 [size =\"49294336\"]\n  11 -> 23 [size =\"49294336\"]\n  11 -> 24 [size =\"49294336\"]\n  11 -> 27 [size =\"49294336\"]\n  11 -> 28 [size =\"49294336\"]\n  12 [size=\"44777472\", alpha=\"0.08\", expect_size=\"22388736\"] \n  12 -> 22 [size =\"22388736\"]\n  12 -> 23 [size =\"22388736\"]\n  12 -> 23 [size =\"22388736\"]\n  12 -> 24 [size =\"22388736\"]\n  12 -> 26 [size =\"22388736\"]\n  12 -> 27 [size =\"22388736\"]\n  12 -> 29 [size =\"22388736\"]\n  13 [size=\"69890048\", alpha=\"0.01\", expect_size=\"34945024\"] \n  13 -> 21 [size =\"34945024\"]\n  13 -> 22 [size =\"34945024\"]\n  13 -> 23 [size =\"34945024\"]\n  13 -> 24 [size =\"34945024\"]\n  13 -> 25 [size =\"34945024\"]\n  13 -> 26 [size =\"34945024\"]\n  13 -> 27 [size =\"34945024\"]\n  13 -> 29 [size =\"34945024\"]\n  14 [size=\"34990080\", alpha=\"0.05\", expect_size=\"17495040\"] \n  14 -> 20 [size =\"17495040\"]\n  14 -> 23 [size =\"17495040\"]\n  14 -> 24 [size =\"17495040\"]\n  14 -> 24 [size =\"17495040\"]\n  14 -> 25 [size =\"17495040\"]\n  14 -> 26 [size =\"17495040\"]\n  14 -> 29 [size =\"17495040\"]\n  14 -> 29 [size =\"17495040\"]\n  15 [size=\"19955712\", alpha=\"0.15\", expect_size=\"9977856\"] \n  15 -> 20 [size =\"9977856\"]\n  15 -> 22 [size =\"9977856\"]\n  16 [size=\"76924928\", alpha=\"0.20\", expect_size=\"38462464\"] \n  16 -> 24 [size =\"38462464\"]\n  16 -> 25 [size =\"38462464\"]\n  16 -> 26 [size =\"38462464\"]\n  16 -> 29 [size =\"38462464\"]\n  17 [size=\"47142912\", alpha=\"0.03\", expect_size=\"23571456\"] \n  17 -> 22 [size =\"23571456\"]\n  17 -> 24 [size =\"23571456\"]\n  17 -> 28 [size =\"23571456\"]\n  17 -> 29 [size =\"23571456\"]\n  18 [size=\"74063872\", alpha=\"0.10\", expect_size=\"37031936\"] \n  18 -> 20 [size =\"37031936\"]\n  18 -> 22 [size =\"37031936\"]\n  18 -> 23 [size =\"37031936\"]\n  18 -> 25 [size =\"37031936\"]\n  18 -> 28 [size =\"37031936\"]\n  18 -> 29 [size =\"37031936\"]\n  19 [size=\"17324032\", alpha=\"0.18\", expect_size=\"8662016\"] \n  19 -> 20 [size =\"8662016\"]\n  19 -> 22 [size =\"8662016\"]\n  19 -> 23 [size =\"8662016\"]\n  19 -> 24 [size =\"8662016\"]\n  19 -> 27 [size =\"8662016\"]\n  19 -> 28 [size =\"8662016\"]\n  19 -> 29 [size =\"8662016\"]\n  20 [size=\"43270144\", alpha=\"0.12\", expect_size=\"21635072\"] \n  20 -> 30 [size =\"21635072\"]\n  21 [size=\"31637504\", alpha=\"0.14\", expect_size=\"15818752\"] \n  21 -> 30 [size =\"15818752\"]\n  22 [size=\"56477696\", alpha=\"0.04\", expect_size=\"28238848\"] \n  22 -> 30 [size =\"28238848\"]\n  23 [size=\"92891136\", alpha=\"0.16\", expect_size=\"46445568\"] \n  24 [size=\"96051200\", alpha=\"0.18\", expect_size=\"48025600\"] \n  24 -> 30 [size =\"48025600\"]\n  25 [size=\"23562240\", alpha=\"0.11\", expect_size=\"11781120\"] \n  25 -> 30 [size =\"11781120\"]\n  26 [size=\"93097984\", alpha=\"0.10\", expect_size=\"46548992\"] \n  26 -> 30 [size =\"46548992\"]\n  27 [size=\"92428288\", alpha=\"0.04\", expect_size=\"46214144\"] \n  27 -> 30 [size =\"46214144\"]\n  28 [size=\"14249984\", alpha=\"0.01\", expect_size=\"7124992\"] \n  28 -> 30 [size =\"7124992\"]\n  29 [size=\"62187520\", alpha=\"0.19\", expect_size=\"31093760\"] \n  29 -> 30 [size =\"31093760\"]\n  30 [size=\"50970624\", alpha=\"0.15\", expect_size=\"25485312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48345088\", alpha=\"0.08\", expect_size=\"24172544\"] \n  1 -> 2 [size =\"24172544\"]\n  1 -> 3 [size =\"24172544\"]\n  2 [size=\"23556096\", alpha=\"0.13\", expect_size=\"11778048\"] \n  2 -> 4 [size =\"11778048\"]\n  3 [size=\"30208000\", alpha=\"0.16\", expect_size=\"15104000\"] \n  4 [size=\"78225408\", alpha=\"0.18\", expect_size=\"39112704\"] \n  4 -> 5 [size =\"39112704\"]\n  5 [size=\"53614592\", alpha=\"0.03\", expect_size=\"26807296\"] \n  5 -> 6 [size =\"26807296\"]\n  5 -> 7 [size =\"26807296\"]\n  6 [size=\"33423360\", alpha=\"0.06\", expect_size=\"16711680\"] \n  6 -> 8 [size =\"16711680\"]\n  7 [size=\"85504000\", alpha=\"0.03\", expect_size=\"42752000\"] \n  7 -> 8 [size =\"42752000\"]\n  8 [size=\"24672256\", alpha=\"0.19\", expect_size=\"12336128\"] \n  8 -> 9 [size =\"12336128\"]\n  9 [size=\"42004480\", alpha=\"0.18\", expect_size=\"21002240\"] \n  9 -> 10 [size =\"21002240\"]\n  9 -> 11 [size =\"21002240\"]\n  10 [size=\"55693312\", alpha=\"0.11\", expect_size=\"27846656\"] \n  10 -> 12 [size =\"27846656\"]\n  11 [size=\"12591104\", alpha=\"0.08\", expect_size=\"6295552\"] \n  12 [size=\"48416768\", alpha=\"0.02\", expect_size=\"24208384\"] \n  12 -> 13 [size =\"24208384\"]\n  12 -> 14 [size =\"24208384\"]\n  13 [size=\"16865280\", alpha=\"0.16\", expect_size=\"8432640\"] \n  13 -> 15 [size =\"8432640\"]\n  14 [size=\"91226112\", alpha=\"0.04\", expect_size=\"45613056\"] \n  15 [size=\"82255872\", alpha=\"0.20\", expect_size=\"41127936\"] \n  15 -> 16 [size =\"41127936\"]\n  16 [size=\"96636928\", alpha=\"0.18\", expect_size=\"48318464\"] \n  16 -> 17 [size =\"48318464\"]\n  16 -> 18 [size =\"48318464\"]\n  17 [size=\"28946432\", alpha=\"0.07\", expect_size=\"14473216\"] \n  18 [size=\"42162176\", alpha=\"0.03\", expect_size=\"21081088\"] \n  18 -> 19 [size =\"21081088\"]\n  19 [size=\"35844096\", alpha=\"0.13\", expect_size=\"17922048\"] \n  19 -> 20 [size =\"17922048\"]\n  19 -> 21 [size =\"17922048\"]\n  20 [size=\"26738688\", alpha=\"0.20\", expect_size=\"13369344\"] \n  20 -> 22 [size =\"13369344\"]\n  20 -> 23 [size =\"13369344\"]\n  21 [size=\"77725696\", alpha=\"0.14\", expect_size=\"38862848\"] \n  21 -> 22 [size =\"38862848\"]\n  22 [size=\"20858880\", alpha=\"0.12\", expect_size=\"10429440\"] \n  22 -> 24 [size =\"10429440\"]\n  23 [size=\"32382976\", alpha=\"0.13\", expect_size=\"16191488\"] \n  23 -> 24 [size =\"16191488\"]\n  24 [size=\"15462400\", alpha=\"0.09\", expect_size=\"7731200\"] \n  24 -> 25 [size =\"7731200\"]\n  24 -> 26 [size =\"7731200\"]\n  25 [size=\"34422784\", alpha=\"0.14\", expect_size=\"17211392\"] \n  25 -> 27 [size =\"17211392\"]\n  26 [size=\"32063488\", alpha=\"0.04\", expect_size=\"16031744\"] \n  26 -> 28 [size =\"16031744\"]\n  27 [size=\"24283136\", alpha=\"0.10\", expect_size=\"12141568\"] \n  27 -> 29 [size =\"12141568\"]\n  27 -> 30 [size =\"12141568\"]\n  28 [size=\"57716736\", alpha=\"0.19\", expect_size=\"28858368\"] \n  28 -> 30 [size =\"28858368\"]\n  29 [size=\"72697856\", alpha=\"0.14\", expect_size=\"36348928\"] \n  30 [size=\"41029632\", alpha=\"0.20\", expect_size=\"20514816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100072107\", alpha=\"0.13\", expect_size=\"30021632\"] \n  1 -> 2 [size =\"30021632\"]\n  2 [size=\"133021013\", alpha=\"0.19\", expect_size=\"39906304\"] \n  2 -> 3 [size =\"39906304\"]\n  3 [size=\"106417493\", alpha=\"0.19\", expect_size=\"31925248\"] \n  3 -> 4 [size =\"31925248\"]\n  4 [size=\"65006933\", alpha=\"0.01\", expect_size=\"19502080\"] \n  4 -> 5 [size =\"19502080\"]\n  5 [size=\"139711147\", alpha=\"0.14\", expect_size=\"41913344\"] \n  5 -> 6 [size =\"41913344\"]\n  6 [size=\"90275840\", alpha=\"0.02\", expect_size=\"27082752\"] \n  6 -> 7 [size =\"27082752\"]\n  7 [size=\"17650347\", alpha=\"0.04\", expect_size=\"5295104\"] \n  7 -> 8 [size =\"5295104\"]\n  8 [size=\"160225280\", alpha=\"0.17\", expect_size=\"48067584\"] \n  8 -> 9 [size =\"48067584\"]\n  9 [size=\"70208853\", alpha=\"0.10\", expect_size=\"21062656\"] \n  9 -> 10 [size =\"21062656\"]\n  10 [size=\"33105920\", alpha=\"0.06\", expect_size=\"9931776\"] \n  10 -> 11 [size =\"9931776\"]\n  11 [size=\"34816000\", alpha=\"0.02\", expect_size=\"10444800\"] \n  11 -> 12 [size =\"10444800\"]\n  12 [size=\"140380160\", alpha=\"0.12\", expect_size=\"42114048\"] \n  12 -> 13 [size =\"42114048\"]\n  13 [size=\"130894507\", alpha=\"0.05\", expect_size=\"39268352\"] \n  13 -> 14 [size =\"39268352\"]\n  14 [size=\"124825600\", alpha=\"0.17\", expect_size=\"37447680\"] \n  14 -> 15 [size =\"37447680\"]\n  15 [size=\"130290347\", alpha=\"0.18\", expect_size=\"39087104\"] \n  15 -> 16 [size =\"39087104\"]\n  16 [size=\"81445547\", alpha=\"0.14\", expect_size=\"24433664\"] \n  16 -> 17 [size =\"24433664\"]\n  17 [size=\"95160320\", alpha=\"0.01\", expect_size=\"28548096\"] \n  17 -> 18 [size =\"28548096\"]\n  18 [size=\"126436693\", alpha=\"0.13\", expect_size=\"37931008\"] \n  18 -> 19 [size =\"37931008\"]\n  19 [size=\"104506027\", alpha=\"0.00\", expect_size=\"31351808\"] \n  19 -> 20 [size =\"31351808\"]\n  20 [size=\"28890453\", alpha=\"0.14\", expect_size=\"8667136\"] \n  20 -> 21 [size =\"8667136\"]\n  21 [size=\"73977173\", alpha=\"0.18\", expect_size=\"22193152\"] \n  21 -> 22 [size =\"22193152\"]\n  22 [size=\"88712533\", alpha=\"0.17\", expect_size=\"26613760\"] \n  22 -> 23 [size =\"26613760\"]\n  23 [size=\"25306453\", alpha=\"0.07\", expect_size=\"7591936\"] \n  23 -> 24 [size =\"7591936\"]\n  24 [size=\"65812480\", alpha=\"0.03\", expect_size=\"19743744\"] \n  24 -> 25 [size =\"19743744\"]\n  25 [size=\"43844267\", alpha=\"0.15\", expect_size=\"13153280\"] \n  25 -> 26 [size =\"13153280\"]\n  26 [size=\"28695893\", alpha=\"0.16\", expect_size=\"8608768\"] \n  26 -> 27 [size =\"8608768\"]\n  27 [size=\"141315413\", alpha=\"0.17\", expect_size=\"42394624\"] \n  27 -> 28 [size =\"42394624\"]\n  28 [size=\"145865387\", alpha=\"0.16\", expect_size=\"43759616\"] \n  28 -> 29 [size =\"43759616\"]\n  29 [size=\"90320213\", alpha=\"0.02\", expect_size=\"27096064\"] \n  29 -> 30 [size =\"27096064\"]\n  30 [size=\"93965653\", alpha=\"0.10\", expect_size=\"28189696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23537664\", alpha=\"0.08\", expect_size=\"11768832\"] \n  1 -> 17 [size =\"11768832\"]\n  1 -> 18 [size =\"11768832\"]\n  1 -> 19 [size =\"11768832\"]\n  1 -> 20 [size =\"11768832\"]\n  2 [size=\"21215232\", alpha=\"0.02\", expect_size=\"10607616\"] \n  2 -> 14 [size =\"10607616\"]\n  2 -> 16 [size =\"10607616\"]\n  2 -> 18 [size =\"10607616\"]\n  2 -> 19 [size =\"10607616\"]\n  2 -> 20 [size =\"10607616\"]\n  3 [size=\"19390464\", alpha=\"0.15\", expect_size=\"9695232\"] \n  3 -> 14 [size =\"9695232\"]\n  3 -> 15 [size =\"9695232\"]\n  3 -> 17 [size =\"9695232\"]\n  3 -> 18 [size =\"9695232\"]\n  3 -> 19 [size =\"9695232\"]\n  4 [size=\"35061760\", alpha=\"0.04\", expect_size=\"17530880\"] \n  4 -> 8 [size =\"17530880\"]\n  4 -> 14 [size =\"17530880\"]\n  4 -> 15 [size =\"17530880\"]\n  4 -> 17 [size =\"17530880\"]\n  5 [size=\"82505728\", alpha=\"0.08\", expect_size=\"41252864\"] \n  5 -> 9 [size =\"41252864\"]\n  5 -> 12 [size =\"41252864\"]\n  5 -> 21 [size =\"41252864\"]\n  6 [size=\"51771392\", alpha=\"0.08\", expect_size=\"25885696\"] \n  6 -> 9 [size =\"25885696\"]\n  6 -> 12 [size =\"25885696\"]\n  6 -> 17 [size =\"25885696\"]\n  6 -> 18 [size =\"25885696\"]\n  6 -> 21 [size =\"25885696\"]\n  7 [size=\"64200704\", alpha=\"0.04\", expect_size=\"32100352\"] \n  7 -> 10 [size =\"32100352\"]\n  7 -> 11 [size =\"32100352\"]\n  7 -> 13 [size =\"32100352\"]\n  7 -> 14 [size =\"32100352\"]\n  7 -> 15 [size =\"32100352\"]\n  7 -> 17 [size =\"32100352\"]\n  7 -> 20 [size =\"32100352\"]\n  7 -> 21 [size =\"32100352\"]\n  8 [size=\"68878336\", alpha=\"0.04\", expect_size=\"34439168\"] \n  8 -> 22 [size =\"34439168\"]\n  8 -> 23 [size =\"34439168\"]\n  8 -> 25 [size =\"34439168\"]\n  9 [size=\"100435968\", alpha=\"0.05\", expect_size=\"50217984\"] \n  9 -> 25 [size =\"50217984\"]\n  9 -> 27 [size =\"50217984\"]\n  10 [size=\"30160896\", alpha=\"0.11\", expect_size=\"15080448\"] \n  10 -> 23 [size =\"15080448\"]\n  10 -> 24 [size =\"15080448\"]\n  11 [size=\"14573568\", alpha=\"0.17\", expect_size=\"7286784\"] \n  11 -> 22 [size =\"7286784\"]\n  11 -> 23 [size =\"7286784\"]\n  11 -> 28 [size =\"7286784\"]\n  12 [size=\"50210816\", alpha=\"0.04\", expect_size=\"25105408\"] \n  12 -> 22 [size =\"25105408\"]\n  12 -> 23 [size =\"25105408\"]\n  13 [size=\"60491776\", alpha=\"0.10\", expect_size=\"30245888\"] \n  13 -> 22 [size =\"30245888\"]\n  13 -> 28 [size =\"30245888\"]\n  14 [size=\"35964928\", alpha=\"0.03\", expect_size=\"17982464\"] \n  14 -> 22 [size =\"17982464\"]\n  14 -> 24 [size =\"17982464\"]\n  14 -> 28 [size =\"17982464\"]\n  14 -> 29 [size =\"17982464\"]\n  15 [size=\"53372928\", alpha=\"0.04\", expect_size=\"26686464\"] \n  15 -> 25 [size =\"26686464\"]\n  16 [size=\"89479168\", alpha=\"0.15\", expect_size=\"44739584\"] \n  16 -> 22 [size =\"44739584\"]\n  16 -> 23 [size =\"44739584\"]\n  16 -> 25 [size =\"44739584\"]\n  16 -> 27 [size =\"44739584\"]\n  16 -> 28 [size =\"44739584\"]\n  17 [size=\"33638400\", alpha=\"0.19\", expect_size=\"16819200\"] \n  17 -> 22 [size =\"16819200\"]\n  17 -> 25 [size =\"16819200\"]\n  17 -> 27 [size =\"16819200\"]\n  18 [size=\"53612544\", alpha=\"0.13\", expect_size=\"26806272\"] \n  18 -> 24 [size =\"26806272\"]\n  18 -> 27 [size =\"26806272\"]\n  19 [size=\"71540736\", alpha=\"0.06\", expect_size=\"35770368\"] \n  20 [size=\"95105024\", alpha=\"0.18\", expect_size=\"47552512\"] \n  20 -> 23 [size =\"47552512\"]\n  20 -> 24 [size =\"47552512\"]\n  20 -> 27 [size =\"47552512\"]\n  21 [size=\"53929984\", alpha=\"0.14\", expect_size=\"26964992\"] \n  21 -> 25 [size =\"26964992\"]\n  21 -> 26 [size =\"26964992\"]\n  22 [size=\"38414336\", alpha=\"0.11\", expect_size=\"19207168\"] \n  23 [size=\"55674880\", alpha=\"0.11\", expect_size=\"27837440\"] \n  24 [size=\"101126144\", alpha=\"0.16\", expect_size=\"50563072\"] \n  24 -> 30 [size =\"50563072\"]\n  25 [size=\"20998144\", alpha=\"0.16\", expect_size=\"10499072\"] \n  25 -> 30 [size =\"10499072\"]\n  26 [size=\"41644032\", alpha=\"0.04\", expect_size=\"20822016\"] \n  26 -> 30 [size =\"20822016\"]\n  27 [size=\"20103168\", alpha=\"0.05\", expect_size=\"10051584\"] \n  28 [size=\"14858240\", alpha=\"0.17\", expect_size=\"7429120\"] \n  28 -> 30 [size =\"7429120\"]\n  29 [size=\"74491904\", alpha=\"0.09\", expect_size=\"37245952\"] \n  29 -> 30 [size =\"37245952\"]\n  30 [size=\"100507648\", alpha=\"0.04\", expect_size=\"50253824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48476160\", alpha=\"0.05\", expect_size=\"14542848\"] \n  1 -> 5 [size =\"14542848\"]\n  1 -> 6 [size =\"14542848\"]\n  2 [size=\"112708267\", alpha=\"0.11\", expect_size=\"33812480\"] \n  2 -> 5 [size =\"33812480\"]\n  2 -> 7 [size =\"33812480\"]\n  2 -> 8 [size =\"33812480\"]\n  3 [size=\"151920640\", alpha=\"0.12\", expect_size=\"45576192\"] \n  3 -> 6 [size =\"45576192\"]\n  4 [size=\"35665920\", alpha=\"0.05\", expect_size=\"10699776\"] \n  4 -> 7 [size =\"10699776\"]\n  4 -> 8 [size =\"10699776\"]\n  5 [size=\"135232853\", alpha=\"0.10\", expect_size=\"40569856\"] \n  5 -> 10 [size =\"40569856\"]\n  6 [size=\"89876480\", alpha=\"0.03\", expect_size=\"26962944\"] \n  6 -> 9 [size =\"26962944\"]\n  6 -> 11 [size =\"26962944\"]\n  6 -> 12 [size =\"26962944\"]\n  7 [size=\"105639253\", alpha=\"0.01\", expect_size=\"31691776\"] \n  7 -> 12 [size =\"31691776\"]\n  8 [size=\"114780160\", alpha=\"0.09\", expect_size=\"34434048\"] \n  8 -> 10 [size =\"34434048\"]\n  9 [size=\"31249067\", alpha=\"0.18\", expect_size=\"9374720\"] \n  9 -> 13 [size =\"9374720\"]\n  9 -> 16 [size =\"9374720\"]\n  10 [size=\"105386667\", alpha=\"0.12\", expect_size=\"31616000\"] \n  10 -> 13 [size =\"31616000\"]\n  10 -> 14 [size =\"31616000\"]\n  10 -> 15 [size =\"31616000\"]\n  11 [size=\"41745067\", alpha=\"0.01\", expect_size=\"12523520\"] \n  11 -> 16 [size =\"12523520\"]\n  12 [size=\"84729173\", alpha=\"0.03\", expect_size=\"25418752\"] \n  12 -> 15 [size =\"25418752\"]\n  12 -> 16 [size =\"25418752\"]\n  13 [size=\"169164800\", alpha=\"0.16\", expect_size=\"50749440\"] \n  13 -> 17 [size =\"50749440\"]\n  13 -> 19 [size =\"50749440\"]\n  13 -> 20 [size =\"50749440\"]\n  14 [size=\"105755307\", alpha=\"0.18\", expect_size=\"31726592\"] \n  14 -> 17 [size =\"31726592\"]\n  14 -> 19 [size =\"31726592\"]\n  14 -> 20 [size =\"31726592\"]\n  15 [size=\"146800640\", alpha=\"0.01\", expect_size=\"44040192\"] \n  15 -> 18 [size =\"44040192\"]\n  15 -> 20 [size =\"44040192\"]\n  16 [size=\"69290667\", alpha=\"0.19\", expect_size=\"20787200\"] \n  16 -> 17 [size =\"20787200\"]\n  16 -> 21 [size =\"20787200\"]\n  17 [size=\"94375253\", alpha=\"0.11\", expect_size=\"28312576\"] \n  17 -> 26 [size =\"28312576\"]\n  18 [size=\"104963413\", alpha=\"0.16\", expect_size=\"31489024\"] \n  18 -> 22 [size =\"31489024\"]\n  18 -> 24 [size =\"31489024\"]\n  18 -> 25 [size =\"31489024\"]\n  19 [size=\"20852053\", alpha=\"0.07\", expect_size=\"6255616\"] \n  19 -> 22 [size =\"6255616\"]\n  19 -> 23 [size =\"6255616\"]\n  20 [size=\"159412907\", alpha=\"0.09\", expect_size=\"47823872\"] \n  20 -> 22 [size =\"47823872\"]\n  20 -> 23 [size =\"47823872\"]\n  20 -> 25 [size =\"47823872\"]\n  21 [size=\"94938453\", alpha=\"0.14\", expect_size=\"28481536\"] \n  21 -> 26 [size =\"28481536\"]\n  22 [size=\"101690027\", alpha=\"0.11\", expect_size=\"30507008\"] \n  23 [size=\"126655147\", alpha=\"0.05\", expect_size=\"37996544\"] \n  23 -> 30 [size =\"37996544\"]\n  24 [size=\"95672320\", alpha=\"0.02\", expect_size=\"28701696\"] \n  24 -> 30 [size =\"28701696\"]\n  25 [size=\"78254080\", alpha=\"0.14\", expect_size=\"23476224\"] \n  25 -> 27 [size =\"23476224\"]\n  25 -> 28 [size =\"23476224\"]\n  26 [size=\"89978880\", alpha=\"0.14\", expect_size=\"26993664\"] \n  26 -> 28 [size =\"26993664\"]\n  26 -> 29 [size =\"26993664\"]\n  27 [size=\"85940907\", alpha=\"0.06\", expect_size=\"25782272\"] \n  28 [size=\"174475947\", alpha=\"0.11\", expect_size=\"52342784\"] \n  29 [size=\"144889173\", alpha=\"0.17\", expect_size=\"43466752\"] \n  30 [size=\"45851307\", alpha=\"0.14\", expect_size=\"13755392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98086400\", alpha=\"0.11\", expect_size=\"39234560\"] \n  1 -> 2 [size =\"39234560\"]\n  2 [size=\"42078720\", alpha=\"0.18\", expect_size=\"16831488\"] \n  2 -> 3 [size =\"16831488\"]\n  3 [size=\"60436480\", alpha=\"0.14\", expect_size=\"24174592\"] \n  3 -> 4 [size =\"24174592\"]\n  4 [size=\"127616000\", alpha=\"0.06\", expect_size=\"51046400\"] \n  4 -> 5 [size =\"51046400\"]\n  5 [size=\"62279680\", alpha=\"0.06\", expect_size=\"24911872\"] \n  5 -> 6 [size =\"24911872\"]\n  6 [size=\"78213120\", alpha=\"0.05\", expect_size=\"31285248\"] \n  6 -> 7 [size =\"31285248\"]\n  7 [size=\"92784640\", alpha=\"0.07\", expect_size=\"37113856\"] \n  7 -> 8 [size =\"37113856\"]\n  8 [size=\"14945280\", alpha=\"0.05\", expect_size=\"5978112\"] \n  8 -> 9 [size =\"5978112\"]\n  9 [size=\"92062720\", alpha=\"0.05\", expect_size=\"36825088\"] \n  9 -> 10 [size =\"36825088\"]\n  10 [size=\"35632640\", alpha=\"0.02\", expect_size=\"14253056\"] \n  10 -> 11 [size =\"14253056\"]\n  11 [size=\"22942720\", alpha=\"0.12\", expect_size=\"9177088\"] \n  11 -> 12 [size =\"9177088\"]\n  12 [size=\"85524480\", alpha=\"0.04\", expect_size=\"34209792\"] \n  12 -> 13 [size =\"34209792\"]\n  13 [size=\"74004480\", alpha=\"0.13\", expect_size=\"29601792\"] \n  13 -> 14 [size =\"29601792\"]\n  14 [size=\"37806080\", alpha=\"0.11\", expect_size=\"15122432\"] \n  14 -> 15 [size =\"15122432\"]\n  15 [size=\"75781120\", alpha=\"0.06\", expect_size=\"30312448\"] \n  15 -> 16 [size =\"30312448\"]\n  16 [size=\"109470720\", alpha=\"0.11\", expect_size=\"43788288\"] \n  16 -> 17 [size =\"43788288\"]\n  17 [size=\"23464960\", alpha=\"0.20\", expect_size=\"9385984\"] \n  17 -> 18 [size =\"9385984\"]\n  18 [size=\"64901120\", alpha=\"0.01\", expect_size=\"25960448\"] \n  18 -> 19 [size =\"25960448\"]\n  19 [size=\"91678720\", alpha=\"0.15\", expect_size=\"36671488\"] \n  19 -> 20 [size =\"36671488\"]\n  20 [size=\"122140160\", alpha=\"0.08\", expect_size=\"48856064\"] \n  20 -> 21 [size =\"48856064\"]\n  21 [size=\"13232640\", alpha=\"0.16\", expect_size=\"5293056\"] \n  21 -> 22 [size =\"5293056\"]\n  22 [size=\"82170880\", alpha=\"0.08\", expect_size=\"32868352\"] \n  22 -> 23 [size =\"32868352\"]\n  23 [size=\"106685440\", alpha=\"0.09\", expect_size=\"42674176\"] \n  23 -> 24 [size =\"42674176\"]\n  24 [size=\"65832960\", alpha=\"0.09\", expect_size=\"26333184\"] \n  24 -> 25 [size =\"26333184\"]\n  25 [size=\"130534400\", alpha=\"0.18\", expect_size=\"52213760\"] \n  25 -> 26 [size =\"52213760\"]\n  26 [size=\"46819840\", alpha=\"0.17\", expect_size=\"18727936\"] \n  26 -> 27 [size =\"18727936\"]\n  27 [size=\"112588800\", alpha=\"0.10\", expect_size=\"45035520\"] \n  27 -> 28 [size =\"45035520\"]\n  28 [size=\"110627840\", alpha=\"0.03\", expect_size=\"44251136\"] \n  28 -> 29 [size =\"44251136\"]\n  29 [size=\"115166720\", alpha=\"0.10\", expect_size=\"46066688\"] \n  29 -> 30 [size =\"46066688\"]\n  30 [size=\"83138560\", alpha=\"0.01\", expect_size=\"33255424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103560533\", alpha=\"0.04\", expect_size=\"31068160\"] \n  1 -> 8 [size =\"31068160\"]\n  1 -> 9 [size =\"31068160\"]\n  1 -> 10 [size =\"31068160\"]\n  1 -> 13 [size =\"31068160\"]\n  1 -> 14 [size =\"31068160\"]\n  2 [size=\"36567040\", alpha=\"0.05\", expect_size=\"10970112\"] \n  2 -> 8 [size =\"10970112\"]\n  2 -> 10 [size =\"10970112\"]\n  2 -> 10 [size =\"10970112\"]\n  2 -> 11 [size =\"10970112\"]\n  2 -> 12 [size =\"10970112\"]\n  2 -> 13 [size =\"10970112\"]\n  3 [size=\"120238080\", alpha=\"0.12\", expect_size=\"36071424\"] \n  3 -> 8 [size =\"36071424\"]\n  3 -> 13 [size =\"36071424\"]\n  4 [size=\"166717440\", alpha=\"0.13\", expect_size=\"50015232\"] \n  4 -> 9 [size =\"50015232\"]\n  4 -> 11 [size =\"50015232\"]\n  5 [size=\"25347413\", alpha=\"0.20\", expect_size=\"7604224\"] \n  5 -> 9 [size =\"7604224\"]\n  5 -> 11 [size =\"7604224\"]\n  5 -> 14 [size =\"7604224\"]\n  6 [size=\"134430720\", alpha=\"0.18\", expect_size=\"40329216\"] \n  6 -> 9 [size =\"40329216\"]\n  6 -> 14 [size =\"40329216\"]\n  7 [size=\"33378987\", alpha=\"0.09\", expect_size=\"10013696\"] \n  7 -> 9 [size =\"10013696\"]\n  7 -> 12 [size =\"10013696\"]\n  7 -> 13 [size =\"10013696\"]\n  7 -> 14 [size =\"10013696\"]\n  8 [size=\"155419307\", alpha=\"0.11\", expect_size=\"46625792\"] \n  8 -> 15 [size =\"46625792\"]\n  8 -> 16 [size =\"46625792\"]\n  9 [size=\"90176853\", alpha=\"0.10\", expect_size=\"27053056\"] \n  9 -> 15 [size =\"27053056\"]\n  9 -> 16 [size =\"27053056\"]\n  9 -> 17 [size =\"27053056\"]\n  10 [size=\"110991360\", alpha=\"0.05\", expect_size=\"33297408\"] \n  10 -> 15 [size =\"33297408\"]\n  11 [size=\"48008533\", alpha=\"0.13\", expect_size=\"14402560\"] \n  11 -> 15 [size =\"14402560\"]\n  11 -> 17 [size =\"14402560\"]\n  12 [size=\"76837547\", alpha=\"0.06\", expect_size=\"23051264\"] \n  12 -> 16 [size =\"23051264\"]\n  12 -> 17 [size =\"23051264\"]\n  13 [size=\"119852373\", alpha=\"0.17\", expect_size=\"35955712\"] \n  13 -> 17 [size =\"35955712\"]\n  13 -> 17 [size =\"35955712\"]\n  14 [size=\"60511573\", alpha=\"0.04\", expect_size=\"18153472\"] \n  14 -> 15 [size =\"18153472\"]\n  14 -> 16 [size =\"18153472\"]\n  15 [size=\"163938987\", alpha=\"0.02\", expect_size=\"49181696\"] \n  15 -> 18 [size =\"49181696\"]\n  15 -> 21 [size =\"49181696\"]\n  16 [size=\"162635093\", alpha=\"0.08\", expect_size=\"48790528\"] \n  16 -> 19 [size =\"48790528\"]\n  16 -> 22 [size =\"48790528\"]\n  16 -> 23 [size =\"48790528\"]\n  17 [size=\"147606187\", alpha=\"0.18\", expect_size=\"44281856\"] \n  17 -> 19 [size =\"44281856\"]\n  17 -> 20 [size =\"44281856\"]\n  17 -> 21 [size =\"44281856\"]\n  18 [size=\"61358080\", alpha=\"0.09\", expect_size=\"18407424\"] \n  18 -> 24 [size =\"18407424\"]\n  18 -> 25 [size =\"18407424\"]\n  18 -> 27 [size =\"18407424\"]\n  19 [size=\"145186133\", alpha=\"0.17\", expect_size=\"43555840\"] \n  19 -> 24 [size =\"43555840\"]\n  19 -> 25 [size =\"43555840\"]\n  19 -> 27 [size =\"43555840\"]\n  20 [size=\"66563413\", alpha=\"0.01\", expect_size=\"19969024\"] \n  20 -> 24 [size =\"19969024\"]\n  20 -> 25 [size =\"19969024\"]\n  20 -> 26 [size =\"19969024\"]\n  20 -> 28 [size =\"19969024\"]\n  20 -> 29 [size =\"19969024\"]\n  21 [size=\"104867840\", alpha=\"0.15\", expect_size=\"31460352\"] \n  21 -> 29 [size =\"31460352\"]\n  22 [size=\"46438400\", alpha=\"0.12\", expect_size=\"13931520\"] \n  22 -> 24 [size =\"13931520\"]\n  22 -> 25 [size =\"13931520\"]\n  22 -> 27 [size =\"13931520\"]\n  22 -> 29 [size =\"13931520\"]\n  23 [size=\"90675200\", alpha=\"0.03\", expect_size=\"27202560\"] \n  23 -> 24 [size =\"27202560\"]\n  23 -> 29 [size =\"27202560\"]\n  24 [size=\"67768320\", alpha=\"0.12\", expect_size=\"20330496\"] \n  25 [size=\"100792320\", alpha=\"0.02\", expect_size=\"30237696\"] \n  26 [size=\"120019627\", alpha=\"0.07\", expect_size=\"36005888\"] \n  26 -> 30 [size =\"36005888\"]\n  27 [size=\"27750400\", alpha=\"0.14\", expect_size=\"8325120\"] \n  27 -> 30 [size =\"8325120\"]\n  28 [size=\"171601920\", alpha=\"0.18\", expect_size=\"51480576\"] \n  29 [size=\"82189653\", alpha=\"0.12\", expect_size=\"24656896\"] \n  30 [size=\"59603627\", alpha=\"0.18\", expect_size=\"17881088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112304640\", alpha=\"0.13\", expect_size=\"44921856\"] \n  1 -> 3 [size =\"44921856\"]\n  2 [size=\"77639680\", alpha=\"0.17\", expect_size=\"31055872\"] \n  3 [size=\"42859520\", alpha=\"0.13\", expect_size=\"17143808\"] \n  3 -> 4 [size =\"17143808\"]\n  3 -> 5 [size =\"17143808\"]\n  4 [size=\"92776960\", alpha=\"0.19\", expect_size=\"37110784\"] \n  4 -> 6 [size =\"37110784\"]\n  5 [size=\"61381120\", alpha=\"0.01\", expect_size=\"24552448\"] \n  5 -> 6 [size =\"24552448\"]\n  6 [size=\"65707520\", alpha=\"0.00\", expect_size=\"26283008\"] \n  6 -> 7 [size =\"26283008\"]\n  7 [size=\"40798720\", alpha=\"0.13\", expect_size=\"16319488\"] \n  7 -> 8 [size =\"16319488\"]\n  8 [size=\"51507200\", alpha=\"0.17\", expect_size=\"20602880\"] \n  8 -> 9 [size =\"20602880\"]\n  8 -> 10 [size =\"20602880\"]\n  9 [size=\"63080960\", alpha=\"0.01\", expect_size=\"25232384\"] \n  9 -> 11 [size =\"25232384\"]\n  9 -> 12 [size =\"25232384\"]\n  10 [size=\"24949760\", alpha=\"0.06\", expect_size=\"9979904\"] \n  10 -> 11 [size =\"9979904\"]\n  10 -> 12 [size =\"9979904\"]\n  11 [size=\"98703360\", alpha=\"0.09\", expect_size=\"39481344\"] \n  11 -> 13 [size =\"39481344\"]\n  11 -> 14 [size =\"39481344\"]\n  12 [size=\"55439360\", alpha=\"0.18\", expect_size=\"22175744\"] \n  12 -> 13 [size =\"22175744\"]\n  13 [size=\"38341120\", alpha=\"0.12\", expect_size=\"15336448\"] \n  13 -> 15 [size =\"15336448\"]\n  14 [size=\"113994240\", alpha=\"0.18\", expect_size=\"45597696\"] \n  15 [size=\"105827840\", alpha=\"0.12\", expect_size=\"42331136\"] \n  15 -> 16 [size =\"42331136\"]\n  15 -> 17 [size =\"42331136\"]\n  16 [size=\"110269440\", alpha=\"0.01\", expect_size=\"44107776\"] \n  16 -> 18 [size =\"44107776\"]\n  17 [size=\"111127040\", alpha=\"0.16\", expect_size=\"44450816\"] \n  17 -> 18 [size =\"44450816\"]\n  18 [size=\"72483840\", alpha=\"0.10\", expect_size=\"28993536\"] \n  18 -> 19 [size =\"28993536\"]\n  18 -> 20 [size =\"28993536\"]\n  19 [size=\"53770240\", alpha=\"0.11\", expect_size=\"21508096\"] \n  19 -> 21 [size =\"21508096\"]\n  20 [size=\"59788800\", alpha=\"0.01\", expect_size=\"23915520\"] \n  20 -> 21 [size =\"23915520\"]\n  21 [size=\"92367360\", alpha=\"0.08\", expect_size=\"36946944\"] \n  21 -> 22 [size =\"36946944\"]\n  22 [size=\"28679680\", alpha=\"0.05\", expect_size=\"11471872\"] \n  22 -> 23 [size =\"11471872\"]\n  23 [size=\"17448960\", alpha=\"0.08\", expect_size=\"6979584\"] \n  23 -> 24 [size =\"6979584\"]\n  24 [size=\"86906880\", alpha=\"0.04\", expect_size=\"34762752\"] \n  24 -> 25 [size =\"34762752\"]\n  24 -> 26 [size =\"34762752\"]\n  25 [size=\"74414080\", alpha=\"0.08\", expect_size=\"29765632\"] \n  25 -> 27 [size =\"29765632\"]\n  26 [size=\"26519040\", alpha=\"0.01\", expect_size=\"10607616\"] \n  26 -> 27 [size =\"10607616\"]\n  27 [size=\"33415680\", alpha=\"0.19\", expect_size=\"13366272\"] \n  27 -> 28 [size =\"13366272\"]\n  28 [size=\"128729600\", alpha=\"0.03\", expect_size=\"51491840\"] \n  28 -> 29 [size =\"51491840\"]\n  28 -> 30 [size =\"51491840\"]\n  29 [size=\"70545920\", alpha=\"0.16\", expect_size=\"28218368\"] \n  30 [size=\"19315200\", alpha=\"0.11\", expect_size=\"7726080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53032960\", alpha=\"0.19\", expect_size=\"21213184\"] \n  2 [size=\"128404480\", alpha=\"0.11\", expect_size=\"51361792\"] \n  2 -> 26 [size =\"51361792\"]\n  2 -> 30 [size =\"51361792\"]\n  3 [size=\"119111680\", alpha=\"0.04\", expect_size=\"47644672\"] \n  3 -> 26 [size =\"47644672\"]\n  3 -> 29 [size =\"47644672\"]\n  3 -> 30 [size =\"47644672\"]\n  4 [size=\"61829120\", alpha=\"0.15\", expect_size=\"24731648\"] \n  4 -> 26 [size =\"24731648\"]\n  4 -> 27 [size =\"24731648\"]\n  5 [size=\"81456640\", alpha=\"0.01\", expect_size=\"32582656\"] \n  5 -> 26 [size =\"32582656\"]\n  5 -> 30 [size =\"32582656\"]\n  6 [size=\"37045760\", alpha=\"0.11\", expect_size=\"14818304\"] \n  6 -> 27 [size =\"14818304\"]\n  6 -> 29 [size =\"14818304\"]\n  7 [size=\"103592960\", alpha=\"0.02\", expect_size=\"41437184\"] \n  7 -> 27 [size =\"41437184\"]\n  7 -> 29 [size =\"41437184\"]\n  7 -> 30 [size =\"41437184\"]\n  8 [size=\"115973120\", alpha=\"0.08\", expect_size=\"46389248\"] \n  8 -> 26 [size =\"46389248\"]\n  8 -> 27 [size =\"46389248\"]\n  9 [size=\"45009920\", alpha=\"0.07\", expect_size=\"18003968\"] \n  10 [size=\"103247360\", alpha=\"0.04\", expect_size=\"41298944\"] \n  10 -> 26 [size =\"41298944\"]\n  10 -> 30 [size =\"41298944\"]\n  11 [size=\"116789760\", alpha=\"0.05\", expect_size=\"46715904\"] \n  11 -> 26 [size =\"46715904\"]\n  11 -> 27 [size =\"46715904\"]\n  11 -> 28 [size =\"46715904\"]\n  12 [size=\"113730560\", alpha=\"0.05\", expect_size=\"45492224\"] \n  12 -> 26 [size =\"45492224\"]\n  12 -> 30 [size =\"45492224\"]\n  13 [size=\"61680640\", alpha=\"0.14\", expect_size=\"24672256\"] \n  13 -> 29 [size =\"24672256\"]\n  13 -> 30 [size =\"24672256\"]\n  14 [size=\"83289600\", alpha=\"0.19\", expect_size=\"33315840\"] \n  14 -> 30 [size =\"33315840\"]\n  15 [size=\"56345600\", alpha=\"0.04\", expect_size=\"22538240\"] \n  15 -> 27 [size =\"22538240\"]\n  15 -> 30 [size =\"22538240\"]\n  16 [size=\"64847360\", alpha=\"0.11\", expect_size=\"25938944\"] \n  16 -> 29 [size =\"25938944\"]\n  16 -> 30 [size =\"25938944\"]\n  17 [size=\"129507840\", alpha=\"0.20\", expect_size=\"51803136\"] \n  17 -> 26 [size =\"51803136\"]\n  17 -> 30 [size =\"51803136\"]\n  18 [size=\"22049280\", alpha=\"0.10\", expect_size=\"8819712\"] \n  18 -> 26 [size =\"8819712\"]\n  19 [size=\"69593600\", alpha=\"0.03\", expect_size=\"27837440\"] \n  19 -> 26 [size =\"27837440\"]\n  19 -> 27 [size =\"27837440\"]\n  20 [size=\"113136640\", alpha=\"0.01\", expect_size=\"45254656\"] \n  20 -> 30 [size =\"45254656\"]\n  21 [size=\"19648000\", alpha=\"0.06\", expect_size=\"7859200\"] \n  21 -> 26 [size =\"7859200\"]\n  21 -> 27 [size =\"7859200\"]\n  21 -> 30 [size =\"7859200\"]\n  22 [size=\"48271360\", alpha=\"0.10\", expect_size=\"19308544\"] \n  22 -> 26 [size =\"19308544\"]\n  22 -> 27 [size =\"19308544\"]\n  22 -> 30 [size =\"19308544\"]\n  23 [size=\"75368960\", alpha=\"0.13\", expect_size=\"30147584\"] \n  23 -> 27 [size =\"30147584\"]\n  23 -> 27 [size =\"30147584\"]\n  23 -> 30 [size =\"30147584\"]\n  24 [size=\"38159360\", alpha=\"0.03\", expect_size=\"15263744\"] \n  24 -> 26 [size =\"15263744\"]\n  25 [size=\"30722560\", alpha=\"0.06\", expect_size=\"12289024\"] \n  25 -> 26 [size =\"12289024\"]\n  25 -> 29 [size =\"12289024\"]\n  26 [size=\"56302080\", alpha=\"0.12\", expect_size=\"22520832\"] \n  27 [size=\"118927360\", alpha=\"0.14\", expect_size=\"47570944\"] \n  28 [size=\"116651520\", alpha=\"0.13\", expect_size=\"46660608\"] \n  29 [size=\"56168960\", alpha=\"0.17\", expect_size=\"22467584\"] \n  30 [size=\"71564800\", alpha=\"0.17\", expect_size=\"28625920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166502400\", alpha=\"0.07\", expect_size=\"49950720\"] \n  1 -> 23 [size =\"49950720\"]\n  1 -> 24 [size =\"49950720\"]\n  1 -> 25 [size =\"49950720\"]\n  1 -> 26 [size =\"49950720\"]\n  1 -> 27 [size =\"49950720\"]\n  2 [size=\"162754560\", alpha=\"0.13\", expect_size=\"48826368\"] \n  2 -> 22 [size =\"48826368\"]\n  2 -> 24 [size =\"48826368\"]\n  2 -> 25 [size =\"48826368\"]\n  2 -> 27 [size =\"48826368\"]\n  2 -> 28 [size =\"48826368\"]\n  2 -> 30 [size =\"48826368\"]\n  3 [size=\"98525867\", alpha=\"0.04\", expect_size=\"29557760\"] \n  3 -> 25 [size =\"29557760\"]\n  3 -> 29 [size =\"29557760\"]\n  3 -> 30 [size =\"29557760\"]\n  4 [size=\"55828480\", alpha=\"0.18\", expect_size=\"16748544\"] \n  4 -> 24 [size =\"16748544\"]\n  4 -> 25 [size =\"16748544\"]\n  4 -> 28 [size =\"16748544\"]\n  5 [size=\"107325440\", alpha=\"0.09\", expect_size=\"32197632\"] \n  5 -> 24 [size =\"32197632\"]\n  5 -> 29 [size =\"32197632\"]\n  6 [size=\"55545173\", alpha=\"0.08\", expect_size=\"16663552\"] \n  6 -> 26 [size =\"16663552\"]\n  6 -> 28 [size =\"16663552\"]\n  6 -> 30 [size =\"16663552\"]\n  7 [size=\"84278613\", alpha=\"0.10\", expect_size=\"25283584\"] \n  7 -> 23 [size =\"25283584\"]\n  7 -> 29 [size =\"25283584\"]\n  8 [size=\"37922133\", alpha=\"0.08\", expect_size=\"11376640\"] \n  8 -> 29 [size =\"11376640\"]\n  8 -> 30 [size =\"11376640\"]\n  9 [size=\"129003520\", alpha=\"0.01\", expect_size=\"38701056\"] \n  9 -> 23 [size =\"38701056\"]\n  9 -> 24 [size =\"38701056\"]\n  9 -> 25 [size =\"38701056\"]\n  9 -> 27 [size =\"38701056\"]\n  9 -> 28 [size =\"38701056\"]\n  9 -> 30 [size =\"38701056\"]\n  10 [size=\"82732373\", alpha=\"0.13\", expect_size=\"24819712\"] \n  10 -> 23 [size =\"24819712\"]\n  10 -> 25 [size =\"24819712\"]\n  10 -> 25 [size =\"24819712\"]\n  10 -> 27 [size =\"24819712\"]\n  10 -> 29 [size =\"24819712\"]\n  11 [size=\"74192213\", alpha=\"0.16\", expect_size=\"22257664\"] \n  11 -> 24 [size =\"22257664\"]\n  11 -> 27 [size =\"22257664\"]\n  11 -> 30 [size =\"22257664\"]\n  12 [size=\"128884053\", alpha=\"0.00\", expect_size=\"38665216\"] \n  12 -> 24 [size =\"38665216\"]\n  12 -> 25 [size =\"38665216\"]\n  12 -> 27 [size =\"38665216\"]\n  12 -> 28 [size =\"38665216\"]\n  12 -> 29 [size =\"38665216\"]\n  12 -> 30 [size =\"38665216\"]\n  13 [size=\"74680320\", alpha=\"0.13\", expect_size=\"22404096\"] \n  13 -> 23 [size =\"22404096\"]\n  13 -> 25 [size =\"22404096\"]\n  13 -> 28 [size =\"22404096\"]\n  13 -> 29 [size =\"22404096\"]\n  13 -> 30 [size =\"22404096\"]\n  13 -> 30 [size =\"22404096\"]\n  14 [size=\"107687253\", alpha=\"0.04\", expect_size=\"32306176\"] \n  14 -> 23 [size =\"32306176\"]\n  14 -> 29 [size =\"32306176\"]\n  14 -> 30 [size =\"32306176\"]\n  15 [size=\"89480533\", alpha=\"0.08\", expect_size=\"26844160\"] \n  15 -> 23 [size =\"26844160\"]\n  15 -> 27 [size =\"26844160\"]\n  16 [size=\"159614293\", alpha=\"0.13\", expect_size=\"47884288\"] \n  16 -> 23 [size =\"47884288\"]\n  16 -> 24 [size =\"47884288\"]\n  16 -> 27 [size =\"47884288\"]\n  16 -> 28 [size =\"47884288\"]\n  17 [size=\"62764373\", alpha=\"0.14\", expect_size=\"18829312\"] \n  17 -> 24 [size =\"18829312\"]\n  17 -> 24 [size =\"18829312\"]\n  17 -> 25 [size =\"18829312\"]\n  17 -> 27 [size =\"18829312\"]\n  18 [size=\"142851413\", alpha=\"0.03\", expect_size=\"42855424\"] \n  18 -> 24 [size =\"42855424\"]\n  18 -> 25 [size =\"42855424\"]\n  18 -> 25 [size =\"42855424\"]\n  18 -> 26 [size =\"42855424\"]\n  18 -> 27 [size =\"42855424\"]\n  19 [size=\"45093547\", alpha=\"0.14\", expect_size=\"13528064\"] \n  19 -> 25 [size =\"13528064\"]\n  19 -> 27 [size =\"13528064\"]\n  19 -> 28 [size =\"13528064\"]\n  19 -> 29 [size =\"13528064\"]\n  20 [size=\"56692053\", alpha=\"0.18\", expect_size=\"17007616\"] \n  20 -> 24 [size =\"17007616\"]\n  20 -> 25 [size =\"17007616\"]\n  20 -> 27 [size =\"17007616\"]\n  21 [size=\"156084907\", alpha=\"0.20\", expect_size=\"46825472\"] \n  21 -> 23 [size =\"46825472\"]\n  21 -> 24 [size =\"46825472\"]\n  21 -> 25 [size =\"46825472\"]\n  21 -> 27 [size =\"46825472\"]\n  21 -> 29 [size =\"46825472\"]\n  22 [size=\"126337707\", alpha=\"0.00\", expect_size=\"37901312\"] \n  23 [size=\"130129920\", alpha=\"0.11\", expect_size=\"39038976\"] \n  24 [size=\"75581440\", alpha=\"0.07\", expect_size=\"22674432\"] \n  25 [size=\"109230080\", alpha=\"0.14\", expect_size=\"32769024\"] \n  26 [size=\"17988267\", alpha=\"0.06\", expect_size=\"5396480\"] \n  27 [size=\"116855467\", alpha=\"0.06\", expect_size=\"35056640\"] \n  28 [size=\"69160960\", alpha=\"0.10\", expect_size=\"20748288\"] \n  29 [size=\"96600747\", alpha=\"0.07\", expect_size=\"28980224\"] \n  30 [size=\"53060267\", alpha=\"0.12\", expect_size=\"15918080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50432000\", alpha=\"0.19\", expect_size=\"15129600\"] \n  1 -> 14 [size =\"15129600\"]\n  1 -> 18 [size =\"15129600\"]\n  2 [size=\"133533013\", alpha=\"0.16\", expect_size=\"40059904\"] \n  2 -> 13 [size =\"40059904\"]\n  2 -> 16 [size =\"40059904\"]\n  3 [size=\"52012373\", alpha=\"0.17\", expect_size=\"15603712\"] \n  3 -> 13 [size =\"15603712\"]\n  3 -> 16 [size =\"15603712\"]\n  4 [size=\"171079680\", alpha=\"0.02\", expect_size=\"51323904\"] \n  4 -> 13 [size =\"51323904\"]\n  5 [size=\"142602240\", alpha=\"0.12\", expect_size=\"42780672\"] \n  5 -> 15 [size =\"42780672\"]\n  6 [size=\"126231893\", alpha=\"0.13\", expect_size=\"37869568\"] \n  6 -> 12 [size =\"37869568\"]\n  6 -> 14 [size =\"37869568\"]\n  6 -> 18 [size =\"37869568\"]\n  7 [size=\"79578453\", alpha=\"0.18\", expect_size=\"23873536\"] \n  7 -> 14 [size =\"23873536\"]\n  7 -> 15 [size =\"23873536\"]\n  7 -> 16 [size =\"23873536\"]\n  7 -> 18 [size =\"23873536\"]\n  8 [size=\"66693120\", alpha=\"0.08\", expect_size=\"20007936\"] \n  8 -> 12 [size =\"20007936\"]\n  8 -> 13 [size =\"20007936\"]\n  9 [size=\"132218880\", alpha=\"0.17\", expect_size=\"39665664\"] \n  9 -> 17 [size =\"39665664\"]\n  10 [size=\"95853227\", alpha=\"0.18\", expect_size=\"28755968\"] \n  10 -> 14 [size =\"28755968\"]\n  10 -> 15 [size =\"28755968\"]\n  10 -> 16 [size =\"28755968\"]\n  10 -> 19 [size =\"28755968\"]\n  11 [size=\"66249387\", alpha=\"0.15\", expect_size=\"19874816\"] \n  11 -> 12 [size =\"19874816\"]\n  11 -> 18 [size =\"19874816\"]\n  12 [size=\"54688427\", alpha=\"0.08\", expect_size=\"16406528\"] \n  12 -> 20 [size =\"16406528\"]\n  12 -> 22 [size =\"16406528\"]\n  12 -> 23 [size =\"16406528\"]\n  12 -> 25 [size =\"16406528\"]\n  12 -> 26 [size =\"16406528\"]\n  13 [size=\"21333333\", alpha=\"0.09\", expect_size=\"6400000\"] \n  13 -> 23 [size =\"6400000\"]\n  14 [size=\"155166720\", alpha=\"0.20\", expect_size=\"46550016\"] \n  14 -> 20 [size =\"46550016\"]\n  14 -> 21 [size =\"46550016\"]\n  14 -> 26 [size =\"46550016\"]\n  15 [size=\"172544000\", alpha=\"0.15\", expect_size=\"51763200\"] \n  15 -> 24 [size =\"51763200\"]\n  15 -> 25 [size =\"51763200\"]\n  15 -> 26 [size =\"51763200\"]\n  16 [size=\"106130773\", alpha=\"0.16\", expect_size=\"31839232\"] \n  16 -> 20 [size =\"31839232\"]\n  16 -> 21 [size =\"31839232\"]\n  16 -> 22 [size =\"31839232\"]\n  16 -> 24 [size =\"31839232\"]\n  17 [size=\"52053333\", alpha=\"0.03\", expect_size=\"15616000\"] \n  17 -> 24 [size =\"15616000\"]\n  18 [size=\"38338560\", alpha=\"0.15\", expect_size=\"11501568\"] \n  18 -> 22 [size =\"11501568\"]\n  18 -> 24 [size =\"11501568\"]\n  18 -> 25 [size =\"11501568\"]\n  19 [size=\"103038293\", alpha=\"0.15\", expect_size=\"30911488\"] \n  19 -> 20 [size =\"30911488\"]\n  19 -> 21 [size =\"30911488\"]\n  19 -> 22 [size =\"30911488\"]\n  19 -> 23 [size =\"30911488\"]\n  19 -> 25 [size =\"30911488\"]\n  19 -> 26 [size =\"30911488\"]\n  20 [size=\"80271360\", alpha=\"0.01\", expect_size=\"24081408\"] \n  21 [size=\"64873813\", alpha=\"0.11\", expect_size=\"19462144\"] \n  22 [size=\"27197440\", alpha=\"0.15\", expect_size=\"8159232\"] \n  22 -> 29 [size =\"8159232\"]\n  23 [size=\"86746453\", alpha=\"0.04\", expect_size=\"26023936\"] \n  23 -> 28 [size =\"26023936\"]\n  23 -> 30 [size =\"26023936\"]\n  24 [size=\"155439787\", alpha=\"0.13\", expect_size=\"46631936\"] \n  24 -> 28 [size =\"46631936\"]\n  24 -> 29 [size =\"46631936\"]\n  25 [size=\"152292693\", alpha=\"0.17\", expect_size=\"45687808\"] \n  25 -> 27 [size =\"45687808\"]\n  25 -> 29 [size =\"45687808\"]\n  26 [size=\"110987947\", alpha=\"0.16\", expect_size=\"33296384\"] \n  26 -> 28 [size =\"33296384\"]\n  26 -> 30 [size =\"33296384\"]\n  27 [size=\"78148267\", alpha=\"0.02\", expect_size=\"23444480\"] \n  28 [size=\"100952747\", alpha=\"0.14\", expect_size=\"30285824\"] \n  29 [size=\"61887147\", alpha=\"0.01\", expect_size=\"18566144\"] \n  30 [size=\"25398613\", alpha=\"0.18\", expect_size=\"7619584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22382592\", alpha=\"0.05\", expect_size=\"11191296\"] \n  1 -> 2 [size =\"11191296\"]\n  2 [size=\"84568064\", alpha=\"0.07\", expect_size=\"42284032\"] \n  2 -> 3 [size =\"42284032\"]\n  3 [size=\"66441216\", alpha=\"0.04\", expect_size=\"33220608\"] \n  3 -> 4 [size =\"33220608\"]\n  4 [size=\"41754624\", alpha=\"0.09\", expect_size=\"20877312\"] \n  4 -> 5 [size =\"20877312\"]\n  5 [size=\"78819328\", alpha=\"0.11\", expect_size=\"39409664\"] \n  5 -> 6 [size =\"39409664\"]\n  6 [size=\"82513920\", alpha=\"0.14\", expect_size=\"41256960\"] \n  6 -> 7 [size =\"41256960\"]\n  7 [size=\"63713280\", alpha=\"0.15\", expect_size=\"31856640\"] \n  7 -> 8 [size =\"31856640\"]\n  8 [size=\"36915200\", alpha=\"0.01\", expect_size=\"18457600\"] \n  8 -> 9 [size =\"18457600\"]\n  9 [size=\"47912960\", alpha=\"0.07\", expect_size=\"23956480\"] \n  9 -> 10 [size =\"23956480\"]\n  10 [size=\"99858432\", alpha=\"0.06\", expect_size=\"49929216\"] \n  10 -> 11 [size =\"49929216\"]\n  11 [size=\"68976640\", alpha=\"0.15\", expect_size=\"34488320\"] \n  11 -> 12 [size =\"34488320\"]\n  12 [size=\"94550016\", alpha=\"0.03\", expect_size=\"47275008\"] \n  12 -> 13 [size =\"47275008\"]\n  13 [size=\"33685504\", alpha=\"0.04\", expect_size=\"16842752\"] \n  13 -> 14 [size =\"16842752\"]\n  14 [size=\"51697664\", alpha=\"0.04\", expect_size=\"25848832\"] \n  14 -> 15 [size =\"25848832\"]\n  15 [size=\"93120512\", alpha=\"0.18\", expect_size=\"46560256\"] \n  15 -> 16 [size =\"46560256\"]\n  16 [size=\"48836608\", alpha=\"0.03\", expect_size=\"24418304\"] \n  16 -> 17 [size =\"24418304\"]\n  17 [size=\"20875264\", alpha=\"0.07\", expect_size=\"10437632\"] \n  17 -> 18 [size =\"10437632\"]\n  18 [size=\"90349568\", alpha=\"0.08\", expect_size=\"45174784\"] \n  18 -> 19 [size =\"45174784\"]\n  19 [size=\"95807488\", alpha=\"0.06\", expect_size=\"47903744\"] \n  19 -> 20 [size =\"47903744\"]\n  20 [size=\"34951168\", alpha=\"0.11\", expect_size=\"17475584\"] \n  20 -> 21 [size =\"17475584\"]\n  21 [size=\"63365120\", alpha=\"0.18\", expect_size=\"31682560\"] \n  21 -> 22 [size =\"31682560\"]\n  22 [size=\"38758400\", alpha=\"0.01\", expect_size=\"19379200\"] \n  22 -> 23 [size =\"19379200\"]\n  23 [size=\"51730432\", alpha=\"0.16\", expect_size=\"25865216\"] \n  23 -> 24 [size =\"25865216\"]\n  24 [size=\"70025216\", alpha=\"0.18\", expect_size=\"35012608\"] \n  24 -> 25 [size =\"35012608\"]\n  25 [size=\"90705920\", alpha=\"0.14\", expect_size=\"45352960\"] \n  25 -> 26 [size =\"45352960\"]\n  26 [size=\"82376704\", alpha=\"0.06\", expect_size=\"41188352\"] \n  26 -> 27 [size =\"41188352\"]\n  27 [size=\"96591872\", alpha=\"0.08\", expect_size=\"48295936\"] \n  27 -> 28 [size =\"48295936\"]\n  28 [size=\"37462016\", alpha=\"0.16\", expect_size=\"18731008\"] \n  28 -> 29 [size =\"18731008\"]\n  29 [size=\"73734144\", alpha=\"0.13\", expect_size=\"36867072\"] \n  29 -> 30 [size =\"36867072\"]\n  30 [size=\"101582848\", alpha=\"0.08\", expect_size=\"50791424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20588544\", alpha=\"0.18\", expect_size=\"10294272\"] \n  1 -> 2 [size =\"10294272\"]\n  2 [size=\"67721216\", alpha=\"0.11\", expect_size=\"33860608\"] \n  2 -> 3 [size =\"33860608\"]\n  3 [size=\"78161920\", alpha=\"0.14\", expect_size=\"39080960\"] \n  3 -> 4 [size =\"39080960\"]\n  4 [size=\"40994816\", alpha=\"0.12\", expect_size=\"20497408\"] \n  4 -> 5 [size =\"20497408\"]\n  5 [size=\"12019712\", alpha=\"0.08\", expect_size=\"6009856\"] \n  5 -> 6 [size =\"6009856\"]\n  6 [size=\"76810240\", alpha=\"0.18\", expect_size=\"38405120\"] \n  6 -> 7 [size =\"38405120\"]\n  7 [size=\"15949824\", alpha=\"0.15\", expect_size=\"7974912\"] \n  7 -> 8 [size =\"7974912\"]\n  8 [size=\"67807232\", alpha=\"0.11\", expect_size=\"33903616\"] \n  8 -> 9 [size =\"33903616\"]\n  9 [size=\"104163328\", alpha=\"0.03\", expect_size=\"52081664\"] \n  9 -> 10 [size =\"52081664\"]\n  10 [size=\"22435840\", alpha=\"0.13\", expect_size=\"11217920\"] \n  10 -> 11 [size =\"11217920\"]\n  11 [size=\"102840320\", alpha=\"0.19\", expect_size=\"51420160\"] \n  11 -> 12 [size =\"51420160\"]\n  12 [size=\"95137792\", alpha=\"0.02\", expect_size=\"47568896\"] \n  12 -> 13 [size =\"47568896\"]\n  13 [size=\"54886400\", alpha=\"0.03\", expect_size=\"27443200\"] \n  13 -> 14 [size =\"27443200\"]\n  14 [size=\"28110848\", alpha=\"0.14\", expect_size=\"14055424\"] \n  14 -> 15 [size =\"14055424\"]\n  15 [size=\"83906560\", alpha=\"0.07\", expect_size=\"41953280\"] \n  15 -> 16 [size =\"41953280\"]\n  16 [size=\"25282560\", alpha=\"0.08\", expect_size=\"12641280\"] \n  16 -> 17 [size =\"12641280\"]\n  17 [size=\"14604288\", alpha=\"0.19\", expect_size=\"7302144\"] \n  17 -> 18 [size =\"7302144\"]\n  18 [size=\"85663744\", alpha=\"0.09\", expect_size=\"42831872\"] \n  18 -> 19 [size =\"42831872\"]\n  19 [size=\"41922560\", alpha=\"0.03\", expect_size=\"20961280\"] \n  19 -> 20 [size =\"20961280\"]\n  20 [size=\"56821760\", alpha=\"0.19\", expect_size=\"28410880\"] \n  20 -> 21 [size =\"28410880\"]\n  21 [size=\"21569536\", alpha=\"0.16\", expect_size=\"10784768\"] \n  21 -> 22 [size =\"10784768\"]\n  22 [size=\"14673920\", alpha=\"0.06\", expect_size=\"7336960\"] \n  22 -> 23 [size =\"7336960\"]\n  23 [size=\"25309184\", alpha=\"0.11\", expect_size=\"12654592\"] \n  23 -> 24 [size =\"12654592\"]\n  24 [size=\"39286784\", alpha=\"0.01\", expect_size=\"19643392\"] \n  24 -> 25 [size =\"19643392\"]\n  25 [size=\"11628544\", alpha=\"0.12\", expect_size=\"5814272\"] \n  25 -> 26 [size =\"5814272\"]\n  26 [size=\"45385728\", alpha=\"0.17\", expect_size=\"22692864\"] \n  26 -> 27 [size =\"22692864\"]\n  27 [size=\"82569216\", alpha=\"0.03\", expect_size=\"41284608\"] \n  27 -> 28 [size =\"41284608\"]\n  28 [size=\"77758464\", alpha=\"0.02\", expect_size=\"38879232\"] \n  28 -> 29 [size =\"38879232\"]\n  29 [size=\"27244544\", alpha=\"0.20\", expect_size=\"13622272\"] \n  29 -> 30 [size =\"13622272\"]\n  30 [size=\"42270720\", alpha=\"0.01\", expect_size=\"21135360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34795520\", alpha=\"0.19\", expect_size=\"17397760\"] \n  2 [size=\"80484352\", alpha=\"0.18\", expect_size=\"40242176\"] \n  2 -> 27 [size =\"40242176\"]\n  3 [size=\"89765888\", alpha=\"0.15\", expect_size=\"44882944\"] \n  3 -> 27 [size =\"44882944\"]\n  3 -> 29 [size =\"44882944\"]\n  3 -> 30 [size =\"44882944\"]\n  4 [size=\"77068288\", alpha=\"0.04\", expect_size=\"38534144\"] \n  4 -> 29 [size =\"38534144\"]\n  4 -> 30 [size =\"38534144\"]\n  5 [size=\"58552320\", alpha=\"0.10\", expect_size=\"29276160\"] \n  6 [size=\"87289856\", alpha=\"0.07\", expect_size=\"43644928\"] \n  6 -> 28 [size =\"43644928\"]\n  6 -> 29 [size =\"43644928\"]\n  7 [size=\"89982976\", alpha=\"0.04\", expect_size=\"44991488\"] \n  8 [size=\"89468928\", alpha=\"0.15\", expect_size=\"44734464\"] \n  8 -> 30 [size =\"44734464\"]\n  9 [size=\"52381696\", alpha=\"0.02\", expect_size=\"26190848\"] \n  9 -> 26 [size =\"26190848\"]\n  9 -> 29 [size =\"26190848\"]\n  10 [size=\"35909632\", alpha=\"0.16\", expect_size=\"17954816\"] \n  11 [size=\"75388928\", alpha=\"0.08\", expect_size=\"37694464\"] \n  11 -> 29 [size =\"37694464\"]\n  12 [size=\"70189056\", alpha=\"0.05\", expect_size=\"35094528\"] \n  12 -> 27 [size =\"35094528\"]\n  13 [size=\"62369792\", alpha=\"0.18\", expect_size=\"31184896\"] \n  14 [size=\"39395328\", alpha=\"0.17\", expect_size=\"19697664\"] \n  14 -> 29 [size =\"19697664\"]\n  15 [size=\"56645632\", alpha=\"0.16\", expect_size=\"28322816\"] \n  15 -> 27 [size =\"28322816\"]\n  15 -> 29 [size =\"28322816\"]\n  16 [size=\"11448320\", alpha=\"0.13\", expect_size=\"5724160\"] \n  16 -> 29 [size =\"5724160\"]\n  17 [size=\"43352064\", alpha=\"0.11\", expect_size=\"21676032\"] \n  18 [size=\"62748672\", alpha=\"0.17\", expect_size=\"31374336\"] \n  19 [size=\"37253120\", alpha=\"0.11\", expect_size=\"18626560\"] \n  19 -> 29 [size =\"18626560\"]\n  19 -> 30 [size =\"18626560\"]\n  20 [size=\"46659584\", alpha=\"0.18\", expect_size=\"23329792\"] \n  20 -> 27 [size =\"23329792\"]\n  20 -> 29 [size =\"23329792\"]\n  21 [size=\"28008448\", alpha=\"0.09\", expect_size=\"14004224\"] \n  22 [size=\"65292288\", alpha=\"0.16\", expect_size=\"32646144\"] \n  22 -> 28 [size =\"32646144\"]\n  23 [size=\"90425344\", alpha=\"0.19\", expect_size=\"45212672\"] \n  24 [size=\"80404480\", alpha=\"0.16\", expect_size=\"40202240\"] \n  25 [size=\"66344960\", alpha=\"0.04\", expect_size=\"33172480\"] \n  25 -> 29 [size =\"33172480\"]\n  26 [size=\"47603712\", alpha=\"0.08\", expect_size=\"23801856\"] \n  27 [size=\"14936064\", alpha=\"0.08\", expect_size=\"7468032\"] \n  28 [size=\"64876544\", alpha=\"0.06\", expect_size=\"32438272\"] \n  29 [size=\"51951616\", alpha=\"0.12\", expect_size=\"25975808\"] \n  30 [size=\"104751104\", alpha=\"0.04\", expect_size=\"52375552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26764800\", alpha=\"0.16\", expect_size=\"10705920\"] \n  1 -> 2 [size =\"10705920\"]\n  1 -> 3 [size =\"10705920\"]\n  2 [size=\"36075520\", alpha=\"0.02\", expect_size=\"14430208\"] \n  2 -> 4 [size =\"14430208\"]\n  3 [size=\"47680000\", alpha=\"0.11\", expect_size=\"19072000\"] \n  3 -> 4 [size =\"19072000\"]\n  4 [size=\"97464320\", alpha=\"0.19\", expect_size=\"38985728\"] \n  4 -> 5 [size =\"38985728\"]\n  4 -> 6 [size =\"38985728\"]\n  5 [size=\"66342400\", alpha=\"0.02\", expect_size=\"26536960\"] \n  5 -> 7 [size =\"26536960\"]\n  6 [size=\"77816320\", alpha=\"0.12\", expect_size=\"31126528\"] \n  7 [size=\"113413120\", alpha=\"0.02\", expect_size=\"45365248\"] \n  7 -> 8 [size =\"45365248\"]\n  8 [size=\"85788160\", alpha=\"0.02\", expect_size=\"34315264\"] \n  8 -> 9 [size =\"34315264\"]\n  9 [size=\"71262720\", alpha=\"0.09\", expect_size=\"28505088\"] \n  9 -> 10 [size =\"28505088\"]\n  9 -> 11 [size =\"28505088\"]\n  10 [size=\"41484800\", alpha=\"0.19\", expect_size=\"16593920\"] \n  11 [size=\"99783680\", alpha=\"0.10\", expect_size=\"39913472\"] \n  11 -> 12 [size =\"39913472\"]\n  12 [size=\"76820480\", alpha=\"0.18\", expect_size=\"30728192\"] \n  12 -> 13 [size =\"30728192\"]\n  13 [size=\"88826880\", alpha=\"0.06\", expect_size=\"35530752\"] \n  13 -> 14 [size =\"35530752\"]\n  14 [size=\"38266880\", alpha=\"0.09\", expect_size=\"15306752\"] \n  14 -> 15 [size =\"15306752\"]\n  14 -> 16 [size =\"15306752\"]\n  15 [size=\"30804480\", alpha=\"0.18\", expect_size=\"12321792\"] \n  15 -> 17 [size =\"12321792\"]\n  16 [size=\"45286400\", alpha=\"0.17\", expect_size=\"18114560\"] \n  16 -> 17 [size =\"18114560\"]\n  16 -> 18 [size =\"18114560\"]\n  17 [size=\"113318400\", alpha=\"0.02\", expect_size=\"45327360\"] \n  17 -> 19 [size =\"45327360\"]\n  18 [size=\"126195200\", alpha=\"0.13\", expect_size=\"50478080\"] \n  18 -> 19 [size =\"50478080\"]\n  19 [size=\"20615680\", alpha=\"0.11\", expect_size=\"8246272\"] \n  19 -> 20 [size =\"8246272\"]\n  19 -> 21 [size =\"8246272\"]\n  20 [size=\"73804800\", alpha=\"0.13\", expect_size=\"29521920\"] \n  20 -> 23 [size =\"29521920\"]\n  21 [size=\"66931200\", alpha=\"0.17\", expect_size=\"26772480\"] \n  21 -> 22 [size =\"26772480\"]\n  22 [size=\"128842240\", alpha=\"0.05\", expect_size=\"51536896\"] \n  22 -> 24 [size =\"51536896\"]\n  23 [size=\"116162560\", alpha=\"0.19\", expect_size=\"46465024\"] \n  23 -> 24 [size =\"46465024\"]\n  24 [size=\"32885760\", alpha=\"0.07\", expect_size=\"13154304\"] \n  24 -> 25 [size =\"13154304\"]\n  25 [size=\"84848640\", alpha=\"0.04\", expect_size=\"33939456\"] \n  25 -> 26 [size =\"33939456\"]\n  25 -> 27 [size =\"33939456\"]\n  26 [size=\"73105920\", alpha=\"0.12\", expect_size=\"29242368\"] \n  27 [size=\"57579520\", alpha=\"0.17\", expect_size=\"23031808\"] \n  27 -> 28 [size =\"23031808\"]\n  28 [size=\"70904320\", alpha=\"0.14\", expect_size=\"28361728\"] \n  28 -> 29 [size =\"28361728\"]\n  29 [size=\"29086720\", alpha=\"0.02\", expect_size=\"11634688\"] \n  29 -> 30 [size =\"11634688\"]\n  30 [size=\"95708160\", alpha=\"0.14\", expect_size=\"38283264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34856960\", alpha=\"0.16\", expect_size=\"13942784\"] \n  1 -> 10 [size =\"13942784\"]\n  1 -> 11 [size =\"13942784\"]\n  1 -> 12 [size =\"13942784\"]\n  1 -> 13 [size =\"13942784\"]\n  1 -> 15 [size =\"13942784\"]\n  1 -> 17 [size =\"13942784\"]\n  1 -> 18 [size =\"13942784\"]\n  2 [size=\"25031680\", alpha=\"0.09\", expect_size=\"10012672\"] \n  2 -> 10 [size =\"10012672\"]\n  2 -> 11 [size =\"10012672\"]\n  2 -> 12 [size =\"10012672\"]\n  2 -> 14 [size =\"10012672\"]\n  2 -> 17 [size =\"10012672\"]\n  3 [size=\"48366080\", alpha=\"0.11\", expect_size=\"19346432\"] \n  3 -> 10 [size =\"19346432\"]\n  3 -> 11 [size =\"19346432\"]\n  3 -> 12 [size =\"19346432\"]\n  3 -> 13 [size =\"19346432\"]\n  3 -> 14 [size =\"19346432\"]\n  3 -> 15 [size =\"19346432\"]\n  3 -> 16 [size =\"19346432\"]\n  3 -> 17 [size =\"19346432\"]\n  3 -> 18 [size =\"19346432\"]\n  4 [size=\"59706880\", alpha=\"0.16\", expect_size=\"23882752\"] \n  4 -> 10 [size =\"23882752\"]\n  4 -> 11 [size =\"23882752\"]\n  4 -> 12 [size =\"23882752\"]\n  4 -> 14 [size =\"23882752\"]\n  4 -> 18 [size =\"23882752\"]\n  5 [size=\"102000640\", alpha=\"0.03\", expect_size=\"40800256\"] \n  5 -> 10 [size =\"40800256\"]\n  5 -> 11 [size =\"40800256\"]\n  5 -> 12 [size =\"40800256\"]\n  5 -> 14 [size =\"40800256\"]\n  5 -> 18 [size =\"40800256\"]\n  6 [size=\"130186240\", alpha=\"0.02\", expect_size=\"52074496\"] \n  6 -> 12 [size =\"52074496\"]\n  6 -> 13 [size =\"52074496\"]\n  6 -> 14 [size =\"52074496\"]\n  6 -> 15 [size =\"52074496\"]\n  6 -> 16 [size =\"52074496\"]\n  6 -> 18 [size =\"52074496\"]\n  7 [size=\"75054080\", alpha=\"0.15\", expect_size=\"30021632\"] \n  7 -> 10 [size =\"30021632\"]\n  7 -> 13 [size =\"30021632\"]\n  7 -> 15 [size =\"30021632\"]\n  7 -> 17 [size =\"30021632\"]\n  7 -> 18 [size =\"30021632\"]\n  8 [size=\"90598400\", alpha=\"0.20\", expect_size=\"36239360\"] \n  8 -> 10 [size =\"36239360\"]\n  8 -> 11 [size =\"36239360\"]\n  8 -> 12 [size =\"36239360\"]\n  8 -> 16 [size =\"36239360\"]\n  8 -> 17 [size =\"36239360\"]\n  9 [size=\"69898240\", alpha=\"0.16\", expect_size=\"27959296\"] \n  9 -> 11 [size =\"27959296\"]\n  9 -> 11 [size =\"27959296\"]\n  9 -> 14 [size =\"27959296\"]\n  9 -> 15 [size =\"27959296\"]\n  9 -> 16 [size =\"27959296\"]\n  10 [size=\"86210560\", alpha=\"0.06\", expect_size=\"34484224\"] \n  10 -> 19 [size =\"34484224\"]\n  10 -> 21 [size =\"34484224\"]\n  10 -> 25 [size =\"34484224\"]\n  10 -> 26 [size =\"34484224\"]\n  10 -> 27 [size =\"34484224\"]\n  11 [size=\"71546880\", alpha=\"0.18\", expect_size=\"28618752\"] \n  11 -> 20 [size =\"28618752\"]\n  11 -> 21 [size =\"28618752\"]\n  11 -> 22 [size =\"28618752\"]\n  11 -> 25 [size =\"28618752\"]\n  11 -> 27 [size =\"28618752\"]\n  12 [size=\"50129920\", alpha=\"0.19\", expect_size=\"20051968\"] \n  12 -> 19 [size =\"20051968\"]\n  12 -> 20 [size =\"20051968\"]\n  12 -> 21 [size =\"20051968\"]\n  12 -> 22 [size =\"20051968\"]\n  12 -> 25 [size =\"20051968\"]\n  12 -> 27 [size =\"20051968\"]\n  13 [size=\"105582080\", alpha=\"0.07\", expect_size=\"42232832\"] \n  13 -> 20 [size =\"42232832\"]\n  13 -> 21 [size =\"42232832\"]\n  13 -> 22 [size =\"42232832\"]\n  13 -> 22 [size =\"42232832\"]\n  13 -> 25 [size =\"42232832\"]\n  14 [size=\"54533120\", alpha=\"0.16\", expect_size=\"21813248\"] \n  14 -> 20 [size =\"21813248\"]\n  14 -> 22 [size =\"21813248\"]\n  14 -> 22 [size =\"21813248\"]\n  14 -> 24 [size =\"21813248\"]\n  14 -> 25 [size =\"21813248\"]\n  14 -> 27 [size =\"21813248\"]\n  15 [size=\"30343680\", alpha=\"0.04\", expect_size=\"12137472\"] \n  15 -> 22 [size =\"12137472\"]\n  15 -> 24 [size =\"12137472\"]\n  15 -> 26 [size =\"12137472\"]\n  16 [size=\"46018560\", alpha=\"0.07\", expect_size=\"18407424\"] \n  16 -> 19 [size =\"18407424\"]\n  16 -> 21 [size =\"18407424\"]\n  16 -> 23 [size =\"18407424\"]\n  16 -> 24 [size =\"18407424\"]\n  16 -> 25 [size =\"18407424\"]\n  16 -> 26 [size =\"18407424\"]\n  17 [size=\"58024960\", alpha=\"0.13\", expect_size=\"23209984\"] \n  17 -> 20 [size =\"23209984\"]\n  17 -> 21 [size =\"23209984\"]\n  17 -> 22 [size =\"23209984\"]\n  17 -> 23 [size =\"23209984\"]\n  17 -> 25 [size =\"23209984\"]\n  17 -> 27 [size =\"23209984\"]\n  18 [size=\"30190080\", alpha=\"0.09\", expect_size=\"12076032\"] \n  18 -> 20 [size =\"12076032\"]\n  18 -> 25 [size =\"12076032\"]\n  19 [size=\"29358080\", alpha=\"0.00\", expect_size=\"11743232\"] \n  19 -> 29 [size =\"11743232\"]\n  19 -> 30 [size =\"11743232\"]\n  20 [size=\"124270080\", alpha=\"0.13\", expect_size=\"49708032\"] \n  20 -> 29 [size =\"49708032\"]\n  21 [size=\"38929920\", alpha=\"0.09\", expect_size=\"15571968\"] \n  21 -> 28 [size =\"15571968\"]\n  22 [size=\"27857920\", alpha=\"0.07\", expect_size=\"11143168\"] \n  22 -> 28 [size =\"11143168\"]\n  22 -> 29 [size =\"11143168\"]\n  23 [size=\"24750080\", alpha=\"0.11\", expect_size=\"9900032\"] \n  23 -> 28 [size =\"9900032\"]\n  23 -> 29 [size =\"9900032\"]\n  24 [size=\"64071680\", alpha=\"0.03\", expect_size=\"25628672\"] \n  24 -> 29 [size =\"25628672\"]\n  24 -> 29 [size =\"25628672\"]\n  25 [size=\"42470400\", alpha=\"0.10\", expect_size=\"16988160\"] \n  25 -> 28 [size =\"16988160\"]\n  25 -> 29 [size =\"16988160\"]\n  25 -> 30 [size =\"16988160\"]\n  26 [size=\"65720320\", alpha=\"0.16\", expect_size=\"26288128\"] \n  26 -> 28 [size =\"26288128\"]\n  26 -> 30 [size =\"26288128\"]\n  27 [size=\"105809920\", alpha=\"0.14\", expect_size=\"42323968\"] \n  28 [size=\"67374080\", alpha=\"0.04\", expect_size=\"26949632\"] \n  29 [size=\"123087360\", alpha=\"0.04\", expect_size=\"49234944\"] \n  30 [size=\"124825600\", alpha=\"0.17\", expect_size=\"49930240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81441280\", alpha=\"0.11\", expect_size=\"32576512\"] \n  1 -> 23 [size =\"32576512\"]\n  1 -> 26 [size =\"32576512\"]\n  1 -> 30 [size =\"32576512\"]\n  2 [size=\"21775360\", alpha=\"0.04\", expect_size=\"8710144\"] \n  2 -> 24 [size =\"8710144\"]\n  2 -> 25 [size =\"8710144\"]\n  2 -> 26 [size =\"8710144\"]\n  2 -> 27 [size =\"8710144\"]\n  2 -> 30 [size =\"8710144\"]\n  3 [size=\"34470400\", alpha=\"0.06\", expect_size=\"13788160\"] \n  3 -> 21 [size =\"13788160\"]\n  3 -> 24 [size =\"13788160\"]\n  3 -> 26 [size =\"13788160\"]\n  3 -> 27 [size =\"13788160\"]\n  3 -> 28 [size =\"13788160\"]\n  3 -> 30 [size =\"13788160\"]\n  4 [size=\"35102720\", alpha=\"0.10\", expect_size=\"14041088\"] \n  4 -> 23 [size =\"14041088\"]\n  4 -> 26 [size =\"14041088\"]\n  4 -> 26 [size =\"14041088\"]\n  4 -> 27 [size =\"14041088\"]\n  4 -> 28 [size =\"14041088\"]\n  4 -> 30 [size =\"14041088\"]\n  5 [size=\"68577280\", alpha=\"0.12\", expect_size=\"27430912\"] \n  5 -> 24 [size =\"27430912\"]\n  5 -> 27 [size =\"27430912\"]\n  6 [size=\"120783360\", alpha=\"0.06\", expect_size=\"48313344\"] \n  6 -> 26 [size =\"48313344\"]\n  6 -> 27 [size =\"48313344\"]\n  6 -> 28 [size =\"48313344\"]\n  7 [size=\"47590400\", alpha=\"0.19\", expect_size=\"19036160\"] \n  7 -> 23 [size =\"19036160\"]\n  7 -> 26 [size =\"19036160\"]\n  7 -> 27 [size =\"19036160\"]\n  7 -> 28 [size =\"19036160\"]\n  8 [size=\"22817280\", alpha=\"0.13\", expect_size=\"9126912\"] \n  8 -> 24 [size =\"9126912\"]\n  8 -> 26 [size =\"9126912\"]\n  8 -> 27 [size =\"9126912\"]\n  9 [size=\"39605760\", alpha=\"0.14\", expect_size=\"15842304\"] \n  9 -> 21 [size =\"15842304\"]\n  9 -> 22 [size =\"15842304\"]\n  9 -> 24 [size =\"15842304\"]\n  9 -> 25 [size =\"15842304\"]\n  9 -> 26 [size =\"15842304\"]\n  9 -> 27 [size =\"15842304\"]\n  9 -> 29 [size =\"15842304\"]\n  10 [size=\"93160960\", alpha=\"0.01\", expect_size=\"37264384\"] \n  10 -> 21 [size =\"37264384\"]\n  10 -> 24 [size =\"37264384\"]\n  10 -> 24 [size =\"37264384\"]\n  10 -> 26 [size =\"37264384\"]\n  10 -> 27 [size =\"37264384\"]\n  10 -> 27 [size =\"37264384\"]\n  10 -> 30 [size =\"37264384\"]\n  11 [size=\"81559040\", alpha=\"0.01\", expect_size=\"32623616\"] \n  11 -> 23 [size =\"32623616\"]\n  11 -> 27 [size =\"32623616\"]\n  12 [size=\"29056000\", alpha=\"0.02\", expect_size=\"11622400\"] \n  13 [size=\"51978240\", alpha=\"0.15\", expect_size=\"20791296\"] \n  13 -> 22 [size =\"20791296\"]\n  13 -> 25 [size =\"20791296\"]\n  13 -> 26 [size =\"20791296\"]\n  13 -> 29 [size =\"20791296\"]\n  14 [size=\"89943040\", alpha=\"0.13\", expect_size=\"35977216\"] \n  14 -> 21 [size =\"35977216\"]\n  14 -> 22 [size =\"35977216\"]\n  14 -> 28 [size =\"35977216\"]\n  15 [size=\"31390720\", alpha=\"0.17\", expect_size=\"12556288\"] \n  15 -> 21 [size =\"12556288\"]\n  15 -> 23 [size =\"12556288\"]\n  15 -> 24 [size =\"12556288\"]\n  15 -> 29 [size =\"12556288\"]\n  16 [size=\"104901120\", alpha=\"0.08\", expect_size=\"41960448\"] \n  16 -> 24 [size =\"41960448\"]\n  16 -> 27 [size =\"41960448\"]\n  16 -> 28 [size =\"41960448\"]\n  16 -> 29 [size =\"41960448\"]\n  17 [size=\"25177600\", alpha=\"0.12\", expect_size=\"10071040\"] \n  17 -> 22 [size =\"10071040\"]\n  17 -> 23 [size =\"10071040\"]\n  17 -> 27 [size =\"10071040\"]\n  17 -> 29 [size =\"10071040\"]\n  18 [size=\"18183680\", alpha=\"0.07\", expect_size=\"7273472\"] \n  18 -> 22 [size =\"7273472\"]\n  18 -> 23 [size =\"7273472\"]\n  18 -> 24 [size =\"7273472\"]\n  19 [size=\"92247040\", alpha=\"0.15\", expect_size=\"36898816\"] \n  19 -> 21 [size =\"36898816\"]\n  19 -> 23 [size =\"36898816\"]\n  19 -> 24 [size =\"36898816\"]\n  19 -> 25 [size =\"36898816\"]\n  20 [size=\"54686720\", alpha=\"0.06\", expect_size=\"21874688\"] \n  20 -> 25 [size =\"21874688\"]\n  20 -> 26 [size =\"21874688\"]\n  20 -> 29 [size =\"21874688\"]\n  21 [size=\"59399680\", alpha=\"0.08\", expect_size=\"23759872\"] \n  22 [size=\"66447360\", alpha=\"0.12\", expect_size=\"26578944\"] \n  23 [size=\"78812160\", alpha=\"0.20\", expect_size=\"31524864\"] \n  24 [size=\"49277440\", alpha=\"0.11\", expect_size=\"19710976\"] \n  25 [size=\"123100160\", alpha=\"0.12\", expect_size=\"49240064\"] \n  26 [size=\"105088000\", alpha=\"0.11\", expect_size=\"42035200\"] \n  27 [size=\"31380480\", alpha=\"0.16\", expect_size=\"12552192\"] \n  28 [size=\"101608960\", alpha=\"0.03\", expect_size=\"40643584\"] \n  29 [size=\"22568960\", alpha=\"0.14\", expect_size=\"9027584\"] \n  30 [size=\"108331520\", alpha=\"0.19\", expect_size=\"43332608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62927360\", alpha=\"0.15\", expect_size=\"25170944\"] \n  1 -> 13 [size =\"25170944\"]\n  1 -> 15 [size =\"25170944\"]\n  2 [size=\"105533440\", alpha=\"0.06\", expect_size=\"42213376\"] \n  2 -> 8 [size =\"42213376\"]\n  2 -> 11 [size =\"42213376\"]\n  2 -> 14 [size =\"42213376\"]\n  2 -> 15 [size =\"42213376\"]\n  3 [size=\"112158720\", alpha=\"0.14\", expect_size=\"44863488\"] \n  3 -> 7 [size =\"44863488\"]\n  3 -> 12 [size =\"44863488\"]\n  3 -> 13 [size =\"44863488\"]\n  3 -> 16 [size =\"44863488\"]\n  3 -> 17 [size =\"44863488\"]\n  4 [size=\"84567040\", alpha=\"0.13\", expect_size=\"33826816\"] \n  4 -> 6 [size =\"33826816\"]\n  4 -> 10 [size =\"33826816\"]\n  4 -> 11 [size =\"33826816\"]\n  4 -> 17 [size =\"33826816\"]\n  5 [size=\"129246720\", alpha=\"0.18\", expect_size=\"51698688\"] \n  5 -> 7 [size =\"51698688\"]\n  5 -> 8 [size =\"51698688\"]\n  5 -> 9 [size =\"51698688\"]\n  5 -> 11 [size =\"51698688\"]\n  6 [size=\"30277120\", alpha=\"0.07\", expect_size=\"12110848\"] \n  6 -> 19 [size =\"12110848\"]\n  6 -> 23 [size =\"12110848\"]\n  6 -> 28 [size =\"12110848\"]\n  7 [size=\"112606720\", alpha=\"0.14\", expect_size=\"45042688\"] \n  7 -> 21 [size =\"45042688\"]\n  7 -> 22 [size =\"45042688\"]\n  8 [size=\"22883840\", alpha=\"0.06\", expect_size=\"9153536\"] \n  8 -> 23 [size =\"9153536\"]\n  8 -> 25 [size =\"9153536\"]\n  8 -> 26 [size =\"9153536\"]\n  9 [size=\"55841280\", alpha=\"0.16\", expect_size=\"22336512\"] \n  9 -> 20 [size =\"22336512\"]\n  9 -> 23 [size =\"22336512\"]\n  10 [size=\"64573440\", alpha=\"0.09\", expect_size=\"25829376\"] \n  10 -> 18 [size =\"25829376\"]\n  10 -> 28 [size =\"25829376\"]\n  11 [size=\"24320000\", alpha=\"0.10\", expect_size=\"9728000\"] \n  11 -> 18 [size =\"9728000\"]\n  11 -> 20 [size =\"9728000\"]\n  11 -> 23 [size =\"9728000\"]\n  11 -> 28 [size =\"9728000\"]\n  12 [size=\"114641920\", alpha=\"0.15\", expect_size=\"45856768\"] \n  12 -> 20 [size =\"45856768\"]\n  12 -> 21 [size =\"45856768\"]\n  12 -> 23 [size =\"45856768\"]\n  12 -> 25 [size =\"45856768\"]\n  12 -> 28 [size =\"45856768\"]\n  13 [size=\"33536000\", alpha=\"0.16\", expect_size=\"13414400\"] \n  13 -> 22 [size =\"13414400\"]\n  13 -> 24 [size =\"13414400\"]\n  13 -> 26 [size =\"13414400\"]\n  13 -> 28 [size =\"13414400\"]\n  14 [size=\"113382400\", alpha=\"0.05\", expect_size=\"45352960\"] \n  14 -> 19 [size =\"45352960\"]\n  14 -> 21 [size =\"45352960\"]\n  15 [size=\"70750720\", alpha=\"0.03\", expect_size=\"28300288\"] \n  15 -> 20 [size =\"28300288\"]\n  15 -> 21 [size =\"28300288\"]\n  15 -> 25 [size =\"28300288\"]\n  15 -> 27 [size =\"28300288\"]\n  16 [size=\"60359680\", alpha=\"0.02\", expect_size=\"24143872\"] \n  16 -> 21 [size =\"24143872\"]\n  16 -> 25 [size =\"24143872\"]\n  16 -> 25 [size =\"24143872\"]\n  17 [size=\"98816000\", alpha=\"0.09\", expect_size=\"39526400\"] \n  17 -> 21 [size =\"39526400\"]\n  17 -> 27 [size =\"39526400\"]\n  18 [size=\"62361600\", alpha=\"0.02\", expect_size=\"24944640\"] \n  18 -> 29 [size =\"24944640\"]\n  19 [size=\"95966720\", alpha=\"0.18\", expect_size=\"38386688\"] \n  20 [size=\"70028800\", alpha=\"0.08\", expect_size=\"28011520\"] \n  21 [size=\"124800000\", alpha=\"0.07\", expect_size=\"49920000\"] \n  22 [size=\"63336960\", alpha=\"0.02\", expect_size=\"25334784\"] \n  22 -> 30 [size =\"25334784\"]\n  23 [size=\"36277760\", alpha=\"0.14\", expect_size=\"14511104\"] \n  24 [size=\"128330240\", alpha=\"0.17\", expect_size=\"51332096\"] \n  24 -> 29 [size =\"51332096\"]\n  25 [size=\"37880320\", alpha=\"0.01\", expect_size=\"15152128\"] \n  25 -> 29 [size =\"15152128\"]\n  25 -> 30 [size =\"15152128\"]\n  26 [size=\"58398720\", alpha=\"0.07\", expect_size=\"23359488\"] \n  26 -> 29 [size =\"23359488\"]\n  26 -> 30 [size =\"23359488\"]\n  27 [size=\"71400960\", alpha=\"0.10\", expect_size=\"28560384\"] \n  27 -> 29 [size =\"28560384\"]\n  27 -> 30 [size =\"28560384\"]\n  28 [size=\"122583040\", alpha=\"0.15\", expect_size=\"49033216\"] \n  29 [size=\"13690880\", alpha=\"0.07\", expect_size=\"5476352\"] \n  30 [size=\"117708800\", alpha=\"0.08\", expect_size=\"47083520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116239360\", alpha=\"0.10\", expect_size=\"46495744\"] \n  1 -> 6 [size =\"46495744\"]\n  1 -> 8 [size =\"46495744\"]\n  1 -> 9 [size =\"46495744\"]\n  2 [size=\"55508480\", alpha=\"0.20\", expect_size=\"22203392\"] \n  2 -> 7 [size =\"22203392\"]\n  2 -> 8 [size =\"22203392\"]\n  2 -> 9 [size =\"22203392\"]\n  3 [size=\"37918720\", alpha=\"0.01\", expect_size=\"15167488\"] \n  4 [size=\"54277120\", alpha=\"0.16\", expect_size=\"21710848\"] \n  4 -> 7 [size =\"21710848\"]\n  4 -> 9 [size =\"21710848\"]\n  5 [size=\"68648960\", alpha=\"0.09\", expect_size=\"27459584\"] \n  5 -> 7 [size =\"27459584\"]\n  5 -> 9 [size =\"27459584\"]\n  6 [size=\"101711360\", alpha=\"0.13\", expect_size=\"40684544\"] \n  6 -> 11 [size =\"40684544\"]\n  7 [size=\"77286400\", alpha=\"0.14\", expect_size=\"30914560\"] \n  7 -> 12 [size =\"30914560\"]\n  7 -> 13 [size =\"30914560\"]\n  8 [size=\"78054400\", alpha=\"0.10\", expect_size=\"31221760\"] \n  8 -> 10 [size =\"31221760\"]\n  8 -> 12 [size =\"31221760\"]\n  8 -> 13 [size =\"31221760\"]\n  9 [size=\"53470720\", alpha=\"0.16\", expect_size=\"21388288\"] \n  9 -> 12 [size =\"21388288\"]\n  10 [size=\"88867840\", alpha=\"0.15\", expect_size=\"35547136\"] \n  10 -> 17 [size =\"35547136\"]\n  11 [size=\"28595200\", alpha=\"0.03\", expect_size=\"11438080\"] \n  11 -> 17 [size =\"11438080\"]\n  12 [size=\"85634560\", alpha=\"0.00\", expect_size=\"34253824\"] \n  12 -> 14 [size =\"34253824\"]\n  12 -> 15 [size =\"34253824\"]\n  12 -> 16 [size =\"34253824\"]\n  12 -> 17 [size =\"34253824\"]\n  13 [size=\"83468800\", alpha=\"0.09\", expect_size=\"33387520\"] \n  13 -> 14 [size =\"33387520\"]\n  14 [size=\"90613760\", alpha=\"0.08\", expect_size=\"36245504\"] \n  14 -> 20 [size =\"36245504\"]\n  15 [size=\"67233280\", alpha=\"0.10\", expect_size=\"26893312\"] \n  15 -> 20 [size =\"26893312\"]\n  15 -> 21 [size =\"26893312\"]\n  16 [size=\"118991360\", alpha=\"0.11\", expect_size=\"47596544\"] \n  16 -> 18 [size =\"47596544\"]\n  16 -> 21 [size =\"47596544\"]\n  17 [size=\"78348800\", alpha=\"0.03\", expect_size=\"31339520\"] \n  17 -> 19 [size =\"31339520\"]\n  17 -> 21 [size =\"31339520\"]\n  17 -> 22 [size =\"31339520\"]\n  18 [size=\"40872960\", alpha=\"0.12\", expect_size=\"16349184\"] \n  18 -> 23 [size =\"16349184\"]\n  18 -> 24 [size =\"16349184\"]\n  18 -> 26 [size =\"16349184\"]\n  18 -> 27 [size =\"16349184\"]\n  19 [size=\"102208000\", alpha=\"0.01\", expect_size=\"40883200\"] \n  19 -> 24 [size =\"40883200\"]\n  19 -> 25 [size =\"40883200\"]\n  20 [size=\"79895040\", alpha=\"0.07\", expect_size=\"31958016\"] \n  20 -> 24 [size =\"31958016\"]\n  20 -> 25 [size =\"31958016\"]\n  21 [size=\"52636160\", alpha=\"0.10\", expect_size=\"21054464\"] \n  21 -> 25 [size =\"21054464\"]\n  21 -> 25 [size =\"21054464\"]\n  21 -> 26 [size =\"21054464\"]\n  22 [size=\"73103360\", alpha=\"0.00\", expect_size=\"29241344\"] \n  22 -> 26 [size =\"29241344\"]\n  23 [size=\"74199040\", alpha=\"0.15\", expect_size=\"29679616\"] \n  23 -> 28 [size =\"29679616\"]\n  23 -> 30 [size =\"29679616\"]\n  24 [size=\"127047680\", alpha=\"0.17\", expect_size=\"50819072\"] \n  24 -> 28 [size =\"50819072\"]\n  24 -> 29 [size =\"50819072\"]\n  24 -> 30 [size =\"50819072\"]\n  25 [size=\"58652160\", alpha=\"0.07\", expect_size=\"23460864\"] \n  25 -> 29 [size =\"23460864\"]\n  26 [size=\"118172160\", alpha=\"0.13\", expect_size=\"47268864\"] \n  26 -> 29 [size =\"47268864\"]\n  26 -> 30 [size =\"47268864\"]\n  27 [size=\"67947520\", alpha=\"0.10\", expect_size=\"27179008\"] \n  28 [size=\"84584960\", alpha=\"0.18\", expect_size=\"33833984\"] \n  29 [size=\"34836480\", alpha=\"0.13\", expect_size=\"13934592\"] \n  30 [size=\"43046400\", alpha=\"0.00\", expect_size=\"17218560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62532267\", alpha=\"0.11\", expect_size=\"18759680\"] \n  1 -> 2 [size =\"18759680\"]\n  1 -> 3 [size =\"18759680\"]\n  2 [size=\"119258453\", alpha=\"0.12\", expect_size=\"35777536\"] \n  3 [size=\"94716587\", alpha=\"0.11\", expect_size=\"28414976\"] \n  3 -> 4 [size =\"28414976\"]\n  4 [size=\"130979840\", alpha=\"0.05\", expect_size=\"39293952\"] \n  4 -> 5 [size =\"39293952\"]\n  4 -> 6 [size =\"39293952\"]\n  5 [size=\"131822933\", alpha=\"0.12\", expect_size=\"39546880\"] \n  5 -> 7 [size =\"39546880\"]\n  5 -> 8 [size =\"39546880\"]\n  6 [size=\"121849173\", alpha=\"0.10\", expect_size=\"36554752\"] \n  6 -> 7 [size =\"36554752\"]\n  7 [size=\"75707733\", alpha=\"0.01\", expect_size=\"22712320\"] \n  7 -> 9 [size =\"22712320\"]\n  7 -> 10 [size =\"22712320\"]\n  8 [size=\"20247893\", alpha=\"0.04\", expect_size=\"6074368\"] \n  8 -> 9 [size =\"6074368\"]\n  9 [size=\"142554453\", alpha=\"0.12\", expect_size=\"42766336\"] \n  9 -> 12 [size =\"42766336\"]\n  10 [size=\"138117120\", alpha=\"0.02\", expect_size=\"41435136\"] \n  10 -> 11 [size =\"41435136\"]\n  10 -> 12 [size =\"41435136\"]\n  11 [size=\"166195200\", alpha=\"0.06\", expect_size=\"49858560\"] \n  11 -> 13 [size =\"49858560\"]\n  11 -> 14 [size =\"49858560\"]\n  12 [size=\"93143040\", alpha=\"0.02\", expect_size=\"27942912\"] \n  12 -> 13 [size =\"27942912\"]\n  12 -> 14 [size =\"27942912\"]\n  13 [size=\"30317227\", alpha=\"0.02\", expect_size=\"9095168\"] \n  13 -> 15 [size =\"9095168\"]\n  14 [size=\"117828267\", alpha=\"0.02\", expect_size=\"35348480\"] \n  14 -> 15 [size =\"35348480\"]\n  14 -> 16 [size =\"35348480\"]\n  15 [size=\"154255360\", alpha=\"0.01\", expect_size=\"46276608\"] \n  15 -> 18 [size =\"46276608\"]\n  16 [size=\"95068160\", alpha=\"0.13\", expect_size=\"28520448\"] \n  16 -> 17 [size =\"28520448\"]\n  16 -> 18 [size =\"28520448\"]\n  17 [size=\"19336533\", alpha=\"0.03\", expect_size=\"5800960\"] \n  17 -> 19 [size =\"5800960\"]\n  18 [size=\"23794347\", alpha=\"0.02\", expect_size=\"7138304\"] \n  18 -> 19 [size =\"7138304\"]\n  19 [size=\"52302507\", alpha=\"0.16\", expect_size=\"15690752\"] \n  19 -> 20 [size =\"15690752\"]\n  20 [size=\"145937067\", alpha=\"0.15\", expect_size=\"43781120\"] \n  20 -> 21 [size =\"43781120\"]\n  20 -> 22 [size =\"43781120\"]\n  21 [size=\"159597227\", alpha=\"0.19\", expect_size=\"47879168\"] \n  21 -> 23 [size =\"47879168\"]\n  22 [size=\"50315947\", alpha=\"0.16\", expect_size=\"15094784\"] \n  22 -> 24 [size =\"15094784\"]\n  23 [size=\"66768213\", alpha=\"0.03\", expect_size=\"20030464\"] \n  23 -> 25 [size =\"20030464\"]\n  24 [size=\"78769493\", alpha=\"0.05\", expect_size=\"23630848\"] \n  24 -> 25 [size =\"23630848\"]\n  25 [size=\"98293760\", alpha=\"0.01\", expect_size=\"29488128\"] \n  25 -> 26 [size =\"29488128\"]\n  25 -> 27 [size =\"29488128\"]\n  26 [size=\"106048853\", alpha=\"0.10\", expect_size=\"31814656\"] \n  27 [size=\"47868587\", alpha=\"0.07\", expect_size=\"14360576\"] \n  27 -> 28 [size =\"14360576\"]\n  28 [size=\"74799787\", alpha=\"0.04\", expect_size=\"22439936\"] \n  28 -> 29 [size =\"22439936\"]\n  29 [size=\"88320000\", alpha=\"0.17\", expect_size=\"26496000\"] \n  29 -> 30 [size =\"26496000\"]\n  30 [size=\"58262187\", alpha=\"0.05\", expect_size=\"17478656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47534080\", alpha=\"0.11\", expect_size=\"23767040\"] \n  1 -> 11 [size =\"23767040\"]\n  1 -> 12 [size =\"23767040\"]\n  1 -> 13 [size =\"23767040\"]\n  2 [size=\"84527104\", alpha=\"0.08\", expect_size=\"42263552\"] \n  2 -> 13 [size =\"42263552\"]\n  2 -> 14 [size =\"42263552\"]\n  2 -> 15 [size =\"42263552\"]\n  2 -> 18 [size =\"42263552\"]\n  3 [size=\"47800320\", alpha=\"0.03\", expect_size=\"23900160\"] \n  3 -> 13 [size =\"23900160\"]\n  4 [size=\"55261184\", alpha=\"0.08\", expect_size=\"27630592\"] \n  4 -> 15 [size =\"27630592\"]\n  5 [size=\"42790912\", alpha=\"0.05\", expect_size=\"21395456\"] \n  5 -> 15 [size =\"21395456\"]\n  5 -> 17 [size =\"21395456\"]\n  5 -> 18 [size =\"21395456\"]\n  5 -> 20 [size =\"21395456\"]\n  6 [size=\"33929216\", alpha=\"0.18\", expect_size=\"16964608\"] \n  6 -> 13 [size =\"16964608\"]\n  6 -> 15 [size =\"16964608\"]\n  6 -> 18 [size =\"16964608\"]\n  6 -> 19 [size =\"16964608\"]\n  7 [size=\"51697664\", alpha=\"0.08\", expect_size=\"25848832\"] \n  7 -> 11 [size =\"25848832\"]\n  7 -> 17 [size =\"25848832\"]\n  8 [size=\"36503552\", alpha=\"0.12\", expect_size=\"18251776\"] \n  8 -> 11 [size =\"18251776\"]\n  8 -> 13 [size =\"18251776\"]\n  8 -> 15 [size =\"18251776\"]\n  8 -> 16 [size =\"18251776\"]\n  8 -> 17 [size =\"18251776\"]\n  9 [size=\"69615616\", alpha=\"0.19\", expect_size=\"34807808\"] \n  9 -> 11 [size =\"34807808\"]\n  9 -> 12 [size =\"34807808\"]\n  9 -> 13 [size =\"34807808\"]\n  9 -> 17 [size =\"34807808\"]\n  10 [size=\"63344640\", alpha=\"0.12\", expect_size=\"31672320\"] \n  10 -> 11 [size =\"31672320\"]\n  10 -> 12 [size =\"31672320\"]\n  10 -> 13 [size =\"31672320\"]\n  10 -> 17 [size =\"31672320\"]\n  10 -> 18 [size =\"31672320\"]\n  11 [size=\"44093440\", alpha=\"0.11\", expect_size=\"22046720\"] \n  11 -> 21 [size =\"22046720\"]\n  11 -> 22 [size =\"22046720\"]\n  11 -> 23 [size =\"22046720\"]\n  11 -> 28 [size =\"22046720\"]\n  12 [size=\"96223232\", alpha=\"0.17\", expect_size=\"48111616\"] \n  12 -> 30 [size =\"48111616\"]\n  13 [size=\"41523200\", alpha=\"0.05\", expect_size=\"20761600\"] \n  14 [size=\"53921792\", alpha=\"0.04\", expect_size=\"26960896\"] \n  14 -> 21 [size =\"26960896\"]\n  14 -> 22 [size =\"26960896\"]\n  14 -> 23 [size =\"26960896\"]\n  14 -> 25 [size =\"26960896\"]\n  15 [size=\"89796608\", alpha=\"0.19\", expect_size=\"44898304\"] \n  15 -> 21 [size =\"44898304\"]\n  15 -> 22 [size =\"44898304\"]\n  15 -> 23 [size =\"44898304\"]\n  15 -> 25 [size =\"44898304\"]\n  15 -> 26 [size =\"44898304\"]\n  15 -> 28 [size =\"44898304\"]\n  16 [size=\"21260288\", alpha=\"0.14\", expect_size=\"10630144\"] \n  16 -> 22 [size =\"10630144\"]\n  16 -> 22 [size =\"10630144\"]\n  16 -> 25 [size =\"10630144\"]\n  17 [size=\"13959168\", alpha=\"0.09\", expect_size=\"6979584\"] \n  17 -> 22 [size =\"6979584\"]\n  17 -> 26 [size =\"6979584\"]\n  17 -> 29 [size =\"6979584\"]\n  17 -> 30 [size =\"6979584\"]\n  18 [size=\"51445760\", alpha=\"0.17\", expect_size=\"25722880\"] \n  18 -> 21 [size =\"25722880\"]\n  18 -> 23 [size =\"25722880\"]\n  18 -> 26 [size =\"25722880\"]\n  18 -> 29 [size =\"25722880\"]\n  18 -> 30 [size =\"25722880\"]\n  19 [size=\"12021760\", alpha=\"0.07\", expect_size=\"6010880\"] \n  19 -> 24 [size =\"6010880\"]\n  19 -> 26 [size =\"6010880\"]\n  19 -> 27 [size =\"6010880\"]\n  20 [size=\"103249920\", alpha=\"0.08\", expect_size=\"51624960\"] \n  20 -> 21 [size =\"51624960\"]\n  20 -> 22 [size =\"51624960\"]\n  20 -> 23 [size =\"51624960\"]\n  20 -> 26 [size =\"51624960\"]\n  21 [size=\"63479808\", alpha=\"0.17\", expect_size=\"31739904\"] \n  22 [size=\"19197952\", alpha=\"0.02\", expect_size=\"9598976\"] \n  23 [size=\"101259264\", alpha=\"0.14\", expect_size=\"50629632\"] \n  24 [size=\"31780864\", alpha=\"0.16\", expect_size=\"15890432\"] \n  25 [size=\"52361216\", alpha=\"0.05\", expect_size=\"26180608\"] \n  26 [size=\"48355328\", alpha=\"0.19\", expect_size=\"24177664\"] \n  27 [size=\"21628928\", alpha=\"0.02\", expect_size=\"10814464\"] \n  28 [size=\"64792576\", alpha=\"0.10\", expect_size=\"32396288\"] \n  29 [size=\"52414464\", alpha=\"0.10\", expect_size=\"26207232\"] \n  30 [size=\"85200896\", alpha=\"0.02\", expect_size=\"42600448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73840640\", alpha=\"0.11\", expect_size=\"29536256\"] \n  1 -> 10 [size =\"29536256\"]\n  2 [size=\"80870400\", alpha=\"0.19\", expect_size=\"32348160\"] \n  2 -> 6 [size =\"32348160\"]\n  2 -> 8 [size =\"32348160\"]\n  2 -> 10 [size =\"32348160\"]\n  3 [size=\"106122240\", alpha=\"0.17\", expect_size=\"42448896\"] \n  4 [size=\"104529920\", alpha=\"0.16\", expect_size=\"41811968\"] \n  4 -> 7 [size =\"41811968\"]\n  4 -> 9 [size =\"41811968\"]\n  5 [size=\"89866240\", alpha=\"0.12\", expect_size=\"35946496\"] \n  5 -> 9 [size =\"35946496\"]\n  5 -> 11 [size =\"35946496\"]\n  6 [size=\"79618560\", alpha=\"0.03\", expect_size=\"31847424\"] \n  6 -> 15 [size =\"31847424\"]\n  6 -> 17 [size =\"31847424\"]\n  7 [size=\"102389760\", alpha=\"0.10\", expect_size=\"40955904\"] \n  7 -> 13 [size =\"40955904\"]\n  7 -> 14 [size =\"40955904\"]\n  8 [size=\"77209600\", alpha=\"0.02\", expect_size=\"30883840\"] \n  8 -> 13 [size =\"30883840\"]\n  8 -> 14 [size =\"30883840\"]\n  8 -> 15 [size =\"30883840\"]\n  8 -> 16 [size =\"30883840\"]\n  9 [size=\"51153920\", alpha=\"0.01\", expect_size=\"20461568\"] \n  9 -> 14 [size =\"20461568\"]\n  10 [size=\"40133120\", alpha=\"0.18\", expect_size=\"16053248\"] \n  10 -> 12 [size =\"16053248\"]\n  11 [size=\"99153920\", alpha=\"0.07\", expect_size=\"39661568\"] \n  11 -> 15 [size =\"39661568\"]\n  11 -> 17 [size =\"39661568\"]\n  12 [size=\"44751360\", alpha=\"0.05\", expect_size=\"17900544\"] \n  12 -> 20 [size =\"17900544\"]\n  12 -> 21 [size =\"17900544\"]\n  13 [size=\"40519680\", alpha=\"0.16\", expect_size=\"16207872\"] \n  13 -> 20 [size =\"16207872\"]\n  14 [size=\"25666560\", alpha=\"0.09\", expect_size=\"10266624\"] \n  15 [size=\"121830400\", alpha=\"0.01\", expect_size=\"48732160\"] \n  15 -> 22 [size =\"48732160\"]\n  16 [size=\"72624640\", alpha=\"0.14\", expect_size=\"29049856\"] \n  16 -> 20 [size =\"29049856\"]\n  16 -> 21 [size =\"29049856\"]\n  16 -> 22 [size =\"29049856\"]\n  17 [size=\"91281920\", alpha=\"0.02\", expect_size=\"36512768\"] \n  17 -> 18 [size =\"36512768\"]\n  17 -> 19 [size =\"36512768\"]\n  17 -> 21 [size =\"36512768\"]\n  18 [size=\"35171840\", alpha=\"0.16\", expect_size=\"14068736\"] \n  18 -> 27 [size =\"14068736\"]\n  19 [size=\"49523200\", alpha=\"0.06\", expect_size=\"19809280\"] \n  19 -> 23 [size =\"19809280\"]\n  19 -> 25 [size =\"19809280\"]\n  19 -> 27 [size =\"19809280\"]\n  20 [size=\"57236480\", alpha=\"0.07\", expect_size=\"22894592\"] \n  20 -> 23 [size =\"22894592\"]\n  20 -> 24 [size =\"22894592\"]\n  20 -> 25 [size =\"22894592\"]\n  21 [size=\"44561920\", alpha=\"0.18\", expect_size=\"17824768\"] \n  22 [size=\"83463680\", alpha=\"0.20\", expect_size=\"33385472\"] \n  22 -> 23 [size =\"33385472\"]\n  22 -> 26 [size =\"33385472\"]\n  23 [size=\"113315840\", alpha=\"0.18\", expect_size=\"45326336\"] \n  23 -> 29 [size =\"45326336\"]\n  23 -> 30 [size =\"45326336\"]\n  24 [size=\"92454400\", alpha=\"0.12\", expect_size=\"36981760\"] \n  25 [size=\"26467840\", alpha=\"0.19\", expect_size=\"10587136\"] \n  26 [size=\"31349760\", alpha=\"0.17\", expect_size=\"12539904\"] \n  26 -> 28 [size =\"12539904\"]\n  27 [size=\"114987520\", alpha=\"0.10\", expect_size=\"45995008\"] \n  27 -> 29 [size =\"45995008\"]\n  28 [size=\"127349760\", alpha=\"0.14\", expect_size=\"50939904\"] \n  29 [size=\"103662080\", alpha=\"0.04\", expect_size=\"41464832\"] \n  30 [size=\"20275200\", alpha=\"0.19\", expect_size=\"8110080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45854720\", alpha=\"0.09\", expect_size=\"13756416\"] \n  1 -> 11 [size =\"13756416\"]\n  1 -> 13 [size =\"13756416\"]\n  1 -> 20 [size =\"13756416\"]\n  2 [size=\"133464747\", alpha=\"0.03\", expect_size=\"40039424\"] \n  2 -> 12 [size =\"40039424\"]\n  2 -> 15 [size =\"40039424\"]\n  2 -> 17 [size =\"40039424\"]\n  2 -> 18 [size =\"40039424\"]\n  3 [size=\"55937707\", alpha=\"0.16\", expect_size=\"16781312\"] \n  3 -> 14 [size =\"16781312\"]\n  3 -> 21 [size =\"16781312\"]\n  4 [size=\"31976107\", alpha=\"0.17\", expect_size=\"9592832\"] \n  4 -> 11 [size =\"9592832\"]\n  4 -> 17 [size =\"9592832\"]\n  5 [size=\"126921387\", alpha=\"0.17\", expect_size=\"38076416\"] \n  5 -> 13 [size =\"38076416\"]\n  5 -> 17 [size =\"38076416\"]\n  5 -> 21 [size =\"38076416\"]\n  6 [size=\"102328320\", alpha=\"0.15\", expect_size=\"30698496\"] \n  6 -> 13 [size =\"30698496\"]\n  6 -> 18 [size =\"30698496\"]\n  6 -> 19 [size =\"30698496\"]\n  6 -> 20 [size =\"30698496\"]\n  7 [size=\"123750400\", alpha=\"0.18\", expect_size=\"37125120\"] \n  7 -> 13 [size =\"37125120\"]\n  7 -> 19 [size =\"37125120\"]\n  8 [size=\"130850133\", alpha=\"0.19\", expect_size=\"39255040\"] \n  8 -> 16 [size =\"39255040\"]\n  8 -> 18 [size =\"39255040\"]\n  8 -> 19 [size =\"39255040\"]\n  9 [size=\"86828373\", alpha=\"0.05\", expect_size=\"26048512\"] \n  9 -> 12 [size =\"26048512\"]\n  9 -> 14 [size =\"26048512\"]\n  9 -> 15 [size =\"26048512\"]\n  9 -> 16 [size =\"26048512\"]\n  9 -> 17 [size =\"26048512\"]\n  9 -> 20 [size =\"26048512\"]\n  9 -> 21 [size =\"26048512\"]\n  10 [size=\"27453440\", alpha=\"0.01\", expect_size=\"8236032\"] \n  10 -> 13 [size =\"8236032\"]\n  10 -> 16 [size =\"8236032\"]\n  11 [size=\"108421120\", alpha=\"0.15\", expect_size=\"32526336\"] \n  11 -> 22 [size =\"32526336\"]\n  11 -> 25 [size =\"32526336\"]\n  11 -> 26 [size =\"32526336\"]\n  12 [size=\"21241173\", alpha=\"0.05\", expect_size=\"6372352\"] \n  12 -> 22 [size =\"6372352\"]\n  12 -> 23 [size =\"6372352\"]\n  12 -> 25 [size =\"6372352\"]\n  12 -> 30 [size =\"6372352\"]\n  13 [size=\"45550933\", alpha=\"0.14\", expect_size=\"13665280\"] \n  13 -> 22 [size =\"13665280\"]\n  13 -> 23 [size =\"13665280\"]\n  13 -> 24 [size =\"13665280\"]\n  13 -> 26 [size =\"13665280\"]\n  13 -> 30 [size =\"13665280\"]\n  14 [size=\"170417493\", alpha=\"0.18\", expect_size=\"51125248\"] \n  14 -> 29 [size =\"51125248\"]\n  15 [size=\"149128533\", alpha=\"0.08\", expect_size=\"44738560\"] \n  15 -> 24 [size =\"44738560\"]\n  15 -> 26 [size =\"44738560\"]\n  16 [size=\"125972480\", alpha=\"0.06\", expect_size=\"37791744\"] \n  16 -> 28 [size =\"37791744\"]\n  17 [size=\"84852053\", alpha=\"0.08\", expect_size=\"25455616\"] \n  17 -> 22 [size =\"25455616\"]\n  17 -> 26 [size =\"25455616\"]\n  17 -> 30 [size =\"25455616\"]\n  18 [size=\"71273813\", alpha=\"0.05\", expect_size=\"21382144\"] \n  18 -> 22 [size =\"21382144\"]\n  18 -> 23 [size =\"21382144\"]\n  18 -> 28 [size =\"21382144\"]\n  18 -> 30 [size =\"21382144\"]\n  19 [size=\"64931840\", alpha=\"0.03\", expect_size=\"19479552\"] \n  19 -> 23 [size =\"19479552\"]\n  19 -> 28 [size =\"19479552\"]\n  19 -> 29 [size =\"19479552\"]\n  19 -> 30 [size =\"19479552\"]\n  20 [size=\"107100160\", alpha=\"0.11\", expect_size=\"32130048\"] \n  20 -> 25 [size =\"32130048\"]\n  20 -> 26 [size =\"32130048\"]\n  20 -> 27 [size =\"32130048\"]\n  21 [size=\"113585493\", alpha=\"0.03\", expect_size=\"34075648\"] \n  21 -> 24 [size =\"34075648\"]\n  21 -> 25 [size =\"34075648\"]\n  21 -> 26 [size =\"34075648\"]\n  21 -> 27 [size =\"34075648\"]\n  22 [size=\"72710827\", alpha=\"0.09\", expect_size=\"21813248\"] \n  23 [size=\"115401387\", alpha=\"0.00\", expect_size=\"34620416\"] \n  24 [size=\"71058773\", alpha=\"0.13\", expect_size=\"21317632\"] \n  25 [size=\"54790827\", alpha=\"0.00\", expect_size=\"16437248\"] \n  26 [size=\"114947413\", alpha=\"0.18\", expect_size=\"34484224\"] \n  27 [size=\"164099413\", alpha=\"0.10\", expect_size=\"49229824\"] \n  28 [size=\"68440747\", alpha=\"0.15\", expect_size=\"20532224\"] \n  29 [size=\"108168533\", alpha=\"0.10\", expect_size=\"32450560\"] \n  30 [size=\"130010453\", alpha=\"0.06\", expect_size=\"39003136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33733973\", alpha=\"0.00\", expect_size=\"10120192\"] \n  1 -> 26 [size =\"10120192\"]\n  2 [size=\"104045227\", alpha=\"0.15\", expect_size=\"31213568\"] \n  2 -> 26 [size =\"31213568\"]\n  3 [size=\"129877333\", alpha=\"0.18\", expect_size=\"38963200\"] \n  3 -> 23 [size =\"38963200\"]\n  3 -> 26 [size =\"38963200\"]\n  3 -> 28 [size =\"38963200\"]\n  4 [size=\"98242560\", alpha=\"0.08\", expect_size=\"29472768\"] \n  4 -> 30 [size =\"29472768\"]\n  5 [size=\"43520000\", alpha=\"0.07\", expect_size=\"13056000\"] \n  5 -> 23 [size =\"13056000\"]\n  5 -> 25 [size =\"13056000\"]\n  5 -> 26 [size =\"13056000\"]\n  5 -> 29 [size =\"13056000\"]\n  5 -> 30 [size =\"13056000\"]\n  6 [size=\"76991147\", alpha=\"0.14\", expect_size=\"23097344\"] \n  6 -> 23 [size =\"23097344\"]\n  6 -> 26 [size =\"23097344\"]\n  6 -> 29 [size =\"23097344\"]\n  6 -> 30 [size =\"23097344\"]\n  7 [size=\"125651627\", alpha=\"0.14\", expect_size=\"37695488\"] \n  7 -> 23 [size =\"37695488\"]\n  7 -> 25 [size =\"37695488\"]\n  7 -> 29 [size =\"37695488\"]\n  8 [size=\"114930347\", alpha=\"0.12\", expect_size=\"34479104\"] \n  8 -> 25 [size =\"34479104\"]\n  8 -> 29 [size =\"34479104\"]\n  8 -> 30 [size =\"34479104\"]\n  9 [size=\"103045120\", alpha=\"0.13\", expect_size=\"30913536\"] \n  9 -> 28 [size =\"30913536\"]\n  9 -> 30 [size =\"30913536\"]\n  10 [size=\"91142827\", alpha=\"0.04\", expect_size=\"27342848\"] \n  11 [size=\"73929387\", alpha=\"0.15\", expect_size=\"22178816\"] \n  11 -> 26 [size =\"22178816\"]\n  12 [size=\"77233493\", alpha=\"0.16\", expect_size=\"23170048\"] \n  12 -> 23 [size =\"23170048\"]\n  12 -> 24 [size =\"23170048\"]\n  12 -> 26 [size =\"23170048\"]\n  13 [size=\"34853547\", alpha=\"0.10\", expect_size=\"10456064\"] \n  14 [size=\"17800533\", alpha=\"0.08\", expect_size=\"5340160\"] \n  14 -> 23 [size =\"5340160\"]\n  15 [size=\"78940160\", alpha=\"0.14\", expect_size=\"23682048\"] \n  15 -> 24 [size =\"23682048\"]\n  15 -> 29 [size =\"23682048\"]\n  16 [size=\"136983893\", alpha=\"0.02\", expect_size=\"41095168\"] \n  16 -> 26 [size =\"41095168\"]\n  16 -> 29 [size =\"41095168\"]\n  17 [size=\"87866027\", alpha=\"0.13\", expect_size=\"26359808\"] \n  17 -> 23 [size =\"26359808\"]\n  18 [size=\"38700373\", alpha=\"0.06\", expect_size=\"11610112\"] \n  18 -> 23 [size =\"11610112\"]\n  18 -> 29 [size =\"11610112\"]\n  18 -> 30 [size =\"11610112\"]\n  19 [size=\"129730560\", alpha=\"0.16\", expect_size=\"38919168\"] \n  19 -> 26 [size =\"38919168\"]\n  19 -> 27 [size =\"38919168\"]\n  19 -> 29 [size =\"38919168\"]\n  19 -> 30 [size =\"38919168\"]\n  20 [size=\"75154773\", alpha=\"0.13\", expect_size=\"22546432\"] \n  20 -> 26 [size =\"22546432\"]\n  20 -> 30 [size =\"22546432\"]\n  21 [size=\"106987520\", alpha=\"0.11\", expect_size=\"32096256\"] \n  21 -> 23 [size =\"32096256\"]\n  22 [size=\"64341333\", alpha=\"0.01\", expect_size=\"19302400\"] \n  22 -> 23 [size =\"19302400\"]\n  22 -> 29 [size =\"19302400\"]\n  22 -> 30 [size =\"19302400\"]\n  23 [size=\"33133227\", alpha=\"0.05\", expect_size=\"9939968\"] \n  24 [size=\"111083520\", alpha=\"0.20\", expect_size=\"33325056\"] \n  25 [size=\"172663467\", alpha=\"0.18\", expect_size=\"51799040\"] \n  26 [size=\"125122560\", alpha=\"0.03\", expect_size=\"37536768\"] \n  27 [size=\"141527040\", alpha=\"0.02\", expect_size=\"42458112\"] \n  28 [size=\"90378240\", alpha=\"0.13\", expect_size=\"27113472\"] \n  29 [size=\"139741867\", alpha=\"0.16\", expect_size=\"41922560\"] \n  30 [size=\"106663253\", alpha=\"0.07\", expect_size=\"31998976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27637760\", alpha=\"0.19\", expect_size=\"8291328\"] \n  1 -> 15 [size =\"8291328\"]\n  1 -> 19 [size =\"8291328\"]\n  2 [size=\"36126720\", alpha=\"0.08\", expect_size=\"10838016\"] \n  2 -> 14 [size =\"10838016\"]\n  2 -> 15 [size =\"10838016\"]\n  2 -> 19 [size =\"10838016\"]\n  3 [size=\"168843947\", alpha=\"0.18\", expect_size=\"50653184\"] \n  3 -> 13 [size =\"50653184\"]\n  3 -> 15 [size =\"50653184\"]\n  3 -> 18 [size =\"50653184\"]\n  3 -> 19 [size =\"50653184\"]\n  4 [size=\"61252267\", alpha=\"0.02\", expect_size=\"18375680\"] \n  4 -> 13 [size =\"18375680\"]\n  4 -> 19 [size =\"18375680\"]\n  5 [size=\"71714133\", alpha=\"0.08\", expect_size=\"21514240\"] \n  5 -> 14 [size =\"21514240\"]\n  5 -> 18 [size =\"21514240\"]\n  6 [size=\"56616960\", alpha=\"0.06\", expect_size=\"16985088\"] \n  6 -> 15 [size =\"16985088\"]\n  7 [size=\"171520000\", alpha=\"0.04\", expect_size=\"51456000\"] \n  7 -> 13 [size =\"51456000\"]\n  7 -> 15 [size =\"51456000\"]\n  7 -> 16 [size =\"51456000\"]\n  7 -> 17 [size =\"51456000\"]\n  7 -> 18 [size =\"51456000\"]\n  7 -> 22 [size =\"51456000\"]\n  8 [size=\"66720427\", alpha=\"0.17\", expect_size=\"20016128\"] \n  8 -> 15 [size =\"20016128\"]\n  8 -> 17 [size =\"20016128\"]\n  8 -> 21 [size =\"20016128\"]\n  8 -> 22 [size =\"20016128\"]\n  9 [size=\"106205867\", alpha=\"0.16\", expect_size=\"31861760\"] \n  9 -> 15 [size =\"31861760\"]\n  9 -> 16 [size =\"31861760\"]\n  9 -> 17 [size =\"31861760\"]\n  9 -> 18 [size =\"31861760\"]\n  9 -> 22 [size =\"31861760\"]\n  10 [size=\"64105813\", alpha=\"0.18\", expect_size=\"19231744\"] \n  10 -> 15 [size =\"19231744\"]\n  10 -> 16 [size =\"19231744\"]\n  10 -> 20 [size =\"19231744\"]\n  11 [size=\"114350080\", alpha=\"0.06\", expect_size=\"34305024\"] \n  11 -> 13 [size =\"34305024\"]\n  11 -> 15 [size =\"34305024\"]\n  11 -> 16 [size =\"34305024\"]\n  11 -> 18 [size =\"34305024\"]\n  12 [size=\"107765760\", alpha=\"0.11\", expect_size=\"32329728\"] \n  12 -> 15 [size =\"32329728\"]\n  12 -> 15 [size =\"32329728\"]\n  13 [size=\"172615680\", alpha=\"0.13\", expect_size=\"51784704\"] \n  13 -> 25 [size =\"51784704\"]\n  13 -> 27 [size =\"51784704\"]\n  13 -> 28 [size =\"51784704\"]\n  14 [size=\"155781120\", alpha=\"0.00\", expect_size=\"46734336\"] \n  14 -> 25 [size =\"46734336\"]\n  14 -> 27 [size =\"46734336\"]\n  14 -> 28 [size =\"46734336\"]\n  15 [size=\"173547520\", alpha=\"0.08\", expect_size=\"52064256\"] \n  15 -> 24 [size =\"52064256\"]\n  15 -> 25 [size =\"52064256\"]\n  15 -> 27 [size =\"52064256\"]\n  15 -> 28 [size =\"52064256\"]\n  16 [size=\"82865493\", alpha=\"0.05\", expect_size=\"24859648\"] \n  16 -> 23 [size =\"24859648\"]\n  16 -> 25 [size =\"24859648\"]\n  16 -> 26 [size =\"24859648\"]\n  16 -> 27 [size =\"24859648\"]\n  17 [size=\"127098880\", alpha=\"0.18\", expect_size=\"38129664\"] \n  17 -> 25 [size =\"38129664\"]\n  17 -> 25 [size =\"38129664\"]\n  17 -> 26 [size =\"38129664\"]\n  17 -> 27 [size =\"38129664\"]\n  17 -> 28 [size =\"38129664\"]\n  18 [size=\"154866347\", alpha=\"0.06\", expect_size=\"46459904\"] \n  18 -> 23 [size =\"46459904\"]\n  18 -> 26 [size =\"46459904\"]\n  18 -> 26 [size =\"46459904\"]\n  18 -> 27 [size =\"46459904\"]\n  19 [size=\"127771307\", alpha=\"0.04\", expect_size=\"38331392\"] \n  19 -> 24 [size =\"38331392\"]\n  19 -> 25 [size =\"38331392\"]\n  19 -> 27 [size =\"38331392\"]\n  20 [size=\"94781440\", alpha=\"0.13\", expect_size=\"28434432\"] \n  20 -> 24 [size =\"28434432\"]\n  20 -> 26 [size =\"28434432\"]\n  20 -> 28 [size =\"28434432\"]\n  21 [size=\"80472747\", alpha=\"0.04\", expect_size=\"24141824\"] \n  21 -> 25 [size =\"24141824\"]\n  21 -> 26 [size =\"24141824\"]\n  21 -> 27 [size =\"24141824\"]\n  21 -> 28 [size =\"24141824\"]\n  22 [size=\"126829227\", alpha=\"0.18\", expect_size=\"38048768\"] \n  22 -> 25 [size =\"38048768\"]\n  22 -> 27 [size =\"38048768\"]\n  22 -> 28 [size =\"38048768\"]\n  23 [size=\"57337173\", alpha=\"0.10\", expect_size=\"17201152\"] \n  24 [size=\"163229013\", alpha=\"0.08\", expect_size=\"48968704\"] \n  24 -> 29 [size =\"48968704\"]\n  24 -> 30 [size =\"48968704\"]\n  25 [size=\"166034773\", alpha=\"0.13\", expect_size=\"49810432\"] \n  25 -> 29 [size =\"49810432\"]\n  26 [size=\"70894933\", alpha=\"0.03\", expect_size=\"21268480\"] \n  26 -> 30 [size =\"21268480\"]\n  27 [size=\"113896107\", alpha=\"0.13\", expect_size=\"34168832\"] \n  27 -> 29 [size =\"34168832\"]\n  27 -> 30 [size =\"34168832\"]\n  28 [size=\"101809493\", alpha=\"0.09\", expect_size=\"30542848\"] \n  28 -> 29 [size =\"30542848\"]\n  29 [size=\"148179627\", alpha=\"0.16\", expect_size=\"44453888\"] \n  30 [size=\"19411627\", alpha=\"0.09\", expect_size=\"5823488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124101973\", alpha=\"0.07\", expect_size=\"37230592\"] \n  2 [size=\"108516693\", alpha=\"0.19\", expect_size=\"32555008\"] \n  2 -> 8 [size =\"32555008\"]\n  2 -> 9 [size =\"32555008\"]\n  2 -> 10 [size =\"32555008\"]\n  3 [size=\"47680853\", alpha=\"0.06\", expect_size=\"14304256\"] \n  4 [size=\"21845333\", alpha=\"0.18\", expect_size=\"6553600\"] \n  4 -> 7 [size =\"6553600\"]\n  5 [size=\"65358507\", alpha=\"0.00\", expect_size=\"19607552\"] \n  5 -> 8 [size =\"19607552\"]\n  5 -> 9 [size =\"19607552\"]\n  5 -> 10 [size =\"19607552\"]\n  6 [size=\"77714773\", alpha=\"0.08\", expect_size=\"23314432\"] \n  6 -> 7 [size =\"23314432\"]\n  6 -> 8 [size =\"23314432\"]\n  6 -> 10 [size =\"23314432\"]\n  7 [size=\"37522773\", alpha=\"0.06\", expect_size=\"11256832\"] \n  7 -> 11 [size =\"11256832\"]\n  7 -> 12 [size =\"11256832\"]\n  7 -> 14 [size =\"11256832\"]\n  8 [size=\"50278400\", alpha=\"0.00\", expect_size=\"15083520\"] \n  8 -> 11 [size =\"15083520\"]\n  8 -> 12 [size =\"15083520\"]\n  8 -> 13 [size =\"15083520\"]\n  9 [size=\"19019093\", alpha=\"0.09\", expect_size=\"5705728\"] \n  9 -> 12 [size =\"5705728\"]\n  9 -> 13 [size =\"5705728\"]\n  10 [size=\"53818027\", alpha=\"0.07\", expect_size=\"16145408\"] \n  10 -> 13 [size =\"16145408\"]\n  11 [size=\"26135893\", alpha=\"0.11\", expect_size=\"7840768\"] \n  11 -> 15 [size =\"7840768\"]\n  11 -> 17 [size =\"7840768\"]\n  11 -> 19 [size =\"7840768\"]\n  11 -> 20 [size =\"7840768\"]\n  12 [size=\"84411733\", alpha=\"0.01\", expect_size=\"25323520\"] \n  12 -> 17 [size =\"25323520\"]\n  12 -> 18 [size =\"25323520\"]\n  12 -> 20 [size =\"25323520\"]\n  13 [size=\"74065920\", alpha=\"0.08\", expect_size=\"22219776\"] \n  13 -> 15 [size =\"22219776\"]\n  13 -> 16 [size =\"22219776\"]\n  13 -> 18 [size =\"22219776\"]\n  14 [size=\"124784640\", alpha=\"0.03\", expect_size=\"37435392\"] \n  14 -> 17 [size =\"37435392\"]\n  14 -> 18 [size =\"37435392\"]\n  14 -> 19 [size =\"37435392\"]\n  14 -> 20 [size =\"37435392\"]\n  15 [size=\"108991147\", alpha=\"0.14\", expect_size=\"32697344\"] \n  15 -> 22 [size =\"32697344\"]\n  15 -> 23 [size =\"32697344\"]\n  15 -> 24 [size =\"32697344\"]\n  15 -> 25 [size =\"32697344\"]\n  16 [size=\"111479467\", alpha=\"0.02\", expect_size=\"33443840\"] \n  16 -> 21 [size =\"33443840\"]\n  16 -> 24 [size =\"33443840\"]\n  17 [size=\"171830613\", alpha=\"0.17\", expect_size=\"51549184\"] \n  17 -> 21 [size =\"51549184\"]\n  18 [size=\"58845867\", alpha=\"0.12\", expect_size=\"17653760\"] \n  18 -> 22 [size =\"17653760\"]\n  18 -> 23 [size =\"17653760\"]\n  18 -> 24 [size =\"17653760\"]\n  19 [size=\"59361280\", alpha=\"0.06\", expect_size=\"17808384\"] \n  19 -> 22 [size =\"17808384\"]\n  19 -> 24 [size =\"17808384\"]\n  19 -> 26 [size =\"17808384\"]\n  20 [size=\"126231893\", alpha=\"0.18\", expect_size=\"37869568\"] \n  20 -> 22 [size =\"37869568\"]\n  20 -> 24 [size =\"37869568\"]\n  21 [size=\"24941227\", alpha=\"0.05\", expect_size=\"7482368\"] \n  21 -> 27 [size =\"7482368\"]\n  21 -> 29 [size =\"7482368\"]\n  21 -> 30 [size =\"7482368\"]\n  22 [size=\"113431893\", alpha=\"0.03\", expect_size=\"34029568\"] \n  22 -> 29 [size =\"34029568\"]\n  22 -> 30 [size =\"34029568\"]\n  23 [size=\"119968427\", alpha=\"0.05\", expect_size=\"35990528\"] \n  23 -> 29 [size =\"35990528\"]\n  23 -> 30 [size =\"35990528\"]\n  24 [size=\"28863147\", alpha=\"0.08\", expect_size=\"8658944\"] \n  24 -> 27 [size =\"8658944\"]\n  24 -> 28 [size =\"8658944\"]\n  25 [size=\"48633173\", alpha=\"0.16\", expect_size=\"14589952\"] \n  25 -> 27 [size =\"14589952\"]\n  25 -> 28 [size =\"14589952\"]\n  25 -> 30 [size =\"14589952\"]\n  26 [size=\"157887147\", alpha=\"0.12\", expect_size=\"47366144\"] \n  26 -> 28 [size =\"47366144\"]\n  26 -> 28 [size =\"47366144\"]\n  26 -> 29 [size =\"47366144\"]\n  26 -> 30 [size =\"47366144\"]\n  27 [size=\"169738240\", alpha=\"0.11\", expect_size=\"50921472\"] \n  28 [size=\"144882347\", alpha=\"0.14\", expect_size=\"43464704\"] \n  29 [size=\"79605760\", alpha=\"0.17\", expect_size=\"23881728\"] \n  30 [size=\"122972160\", alpha=\"0.05\", expect_size=\"36891648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35512320\", alpha=\"0.08\", expect_size=\"17756160\"] \n  1 -> 2 [size =\"17756160\"]\n  2 [size=\"66768896\", alpha=\"0.14\", expect_size=\"33384448\"] \n  2 -> 3 [size =\"33384448\"]\n  3 [size=\"45185024\", alpha=\"0.00\", expect_size=\"22592512\"] \n  3 -> 4 [size =\"22592512\"]\n  4 [size=\"44081152\", alpha=\"0.10\", expect_size=\"22040576\"] \n  4 -> 5 [size =\"22040576\"]\n  5 [size=\"69208064\", alpha=\"0.00\", expect_size=\"34604032\"] \n  5 -> 6 [size =\"34604032\"]\n  6 [size=\"51800064\", alpha=\"0.02\", expect_size=\"25900032\"] \n  6 -> 7 [size =\"25900032\"]\n  7 [size=\"46137344\", alpha=\"0.10\", expect_size=\"23068672\"] \n  7 -> 8 [size =\"23068672\"]\n  8 [size=\"15446016\", alpha=\"0.16\", expect_size=\"7723008\"] \n  8 -> 9 [size =\"7723008\"]\n  9 [size=\"28942336\", alpha=\"0.01\", expect_size=\"14471168\"] \n  9 -> 10 [size =\"14471168\"]\n  10 [size=\"49854464\", alpha=\"0.10\", expect_size=\"24927232\"] \n  10 -> 11 [size =\"24927232\"]\n  11 [size=\"64514048\", alpha=\"0.12\", expect_size=\"32257024\"] \n  11 -> 12 [size =\"32257024\"]\n  12 [size=\"103020544\", alpha=\"0.17\", expect_size=\"51510272\"] \n  12 -> 13 [size =\"51510272\"]\n  13 [size=\"75890688\", alpha=\"0.09\", expect_size=\"37945344\"] \n  13 -> 14 [size =\"37945344\"]\n  14 [size=\"77373440\", alpha=\"0.07\", expect_size=\"38686720\"] \n  14 -> 15 [size =\"38686720\"]\n  15 [size=\"32204800\", alpha=\"0.04\", expect_size=\"16102400\"] \n  15 -> 16 [size =\"16102400\"]\n  16 [size=\"33458176\", alpha=\"0.01\", expect_size=\"16729088\"] \n  16 -> 17 [size =\"16729088\"]\n  17 [size=\"42168320\", alpha=\"0.12\", expect_size=\"21084160\"] \n  17 -> 18 [size =\"21084160\"]\n  18 [size=\"89141248\", alpha=\"0.13\", expect_size=\"44570624\"] \n  18 -> 19 [size =\"44570624\"]\n  19 [size=\"70201344\", alpha=\"0.16\", expect_size=\"35100672\"] \n  19 -> 20 [size =\"35100672\"]\n  20 [size=\"74207232\", alpha=\"0.11\", expect_size=\"37103616\"] \n  20 -> 21 [size =\"37103616\"]\n  21 [size=\"26243072\", alpha=\"0.12\", expect_size=\"13121536\"] \n  21 -> 22 [size =\"13121536\"]\n  22 [size=\"83742720\", alpha=\"0.04\", expect_size=\"41871360\"] \n  22 -> 23 [size =\"41871360\"]\n  23 [size=\"67643392\", alpha=\"0.04\", expect_size=\"33821696\"] \n  23 -> 24 [size =\"33821696\"]\n  24 [size=\"16199680\", alpha=\"0.11\", expect_size=\"8099840\"] \n  24 -> 25 [size =\"8099840\"]\n  25 [size=\"47802368\", alpha=\"0.11\", expect_size=\"23901184\"] \n  25 -> 26 [size =\"23901184\"]\n  26 [size=\"68298752\", alpha=\"0.19\", expect_size=\"34149376\"] \n  26 -> 27 [size =\"34149376\"]\n  27 [size=\"73560064\", alpha=\"0.15\", expect_size=\"36780032\"] \n  27 -> 28 [size =\"36780032\"]\n  28 [size=\"35457024\", alpha=\"0.12\", expect_size=\"17728512\"] \n  28 -> 29 [size =\"17728512\"]\n  29 [size=\"96002048\", alpha=\"0.12\", expect_size=\"48001024\"] \n  29 -> 30 [size =\"48001024\"]\n  30 [size=\"76148736\", alpha=\"0.02\", expect_size=\"38074368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25026560\", alpha=\"0.17\", expect_size=\"10010624\"] \n  2 [size=\"77657600\", alpha=\"0.02\", expect_size=\"31063040\"] \n  2 -> 3 [size =\"31063040\"]\n  3 [size=\"71157760\", alpha=\"0.05\", expect_size=\"28463104\"] \n  3 -> 4 [size =\"28463104\"]\n  4 [size=\"128197120\", alpha=\"0.07\", expect_size=\"51278848\"] \n  4 -> 5 [size =\"51278848\"]\n  5 [size=\"61184000\", alpha=\"0.10\", expect_size=\"24473600\"] \n  5 -> 6 [size =\"24473600\"]\n  6 [size=\"26670080\", alpha=\"0.18\", expect_size=\"10668032\"] \n  6 -> 7 [size =\"10668032\"]\n  6 -> 8 [size =\"10668032\"]\n  7 [size=\"96583680\", alpha=\"0.18\", expect_size=\"38633472\"] \n  7 -> 9 [size =\"38633472\"]\n  8 [size=\"106273280\", alpha=\"0.10\", expect_size=\"42509312\"] \n  8 -> 9 [size =\"42509312\"]\n  9 [size=\"81423360\", alpha=\"0.19\", expect_size=\"32569344\"] \n  9 -> 10 [size =\"32569344\"]\n  10 [size=\"17402880\", alpha=\"0.13\", expect_size=\"6961152\"] \n  10 -> 11 [size =\"6961152\"]\n  10 -> 12 [size =\"6961152\"]\n  11 [size=\"53524480\", alpha=\"0.17\", expect_size=\"21409792\"] \n  11 -> 14 [size =\"21409792\"]\n  12 [size=\"38118400\", alpha=\"0.01\", expect_size=\"15247360\"] \n  12 -> 13 [size =\"15247360\"]\n  12 -> 14 [size =\"15247360\"]\n  13 [size=\"52554240\", alpha=\"0.13\", expect_size=\"21021696\"] \n  13 -> 15 [size =\"21021696\"]\n  14 [size=\"83317760\", alpha=\"0.03\", expect_size=\"33327104\"] \n  14 -> 15 [size =\"33327104\"]\n  15 [size=\"122903040\", alpha=\"0.18\", expect_size=\"49161216\"] \n  15 -> 16 [size =\"49161216\"]\n  16 [size=\"64312320\", alpha=\"0.15\", expect_size=\"25724928\"] \n  16 -> 17 [size =\"25724928\"]\n  17 [size=\"51448320\", alpha=\"0.10\", expect_size=\"20579328\"] \n  17 -> 18 [size =\"20579328\"]\n  17 -> 19 [size =\"20579328\"]\n  18 [size=\"40711680\", alpha=\"0.12\", expect_size=\"16284672\"] \n  18 -> 21 [size =\"16284672\"]\n  19 [size=\"99302400\", alpha=\"0.11\", expect_size=\"39720960\"] \n  19 -> 20 [size =\"39720960\"]\n  19 -> 21 [size =\"39720960\"]\n  20 [size=\"91023360\", alpha=\"0.01\", expect_size=\"36409344\"] \n  20 -> 22 [size =\"36409344\"]\n  20 -> 23 [size =\"36409344\"]\n  21 [size=\"49530880\", alpha=\"0.14\", expect_size=\"19812352\"] \n  21 -> 22 [size =\"19812352\"]\n  21 -> 23 [size =\"19812352\"]\n  22 [size=\"30996480\", alpha=\"0.17\", expect_size=\"12398592\"] \n  23 [size=\"34513920\", alpha=\"0.10\", expect_size=\"13805568\"] \n  23 -> 24 [size =\"13805568\"]\n  24 [size=\"110794240\", alpha=\"0.03\", expect_size=\"44317696\"] \n  24 -> 25 [size =\"44317696\"]\n  25 [size=\"127910400\", alpha=\"0.04\", expect_size=\"51164160\"] \n  25 -> 26 [size =\"51164160\"]\n  25 -> 27 [size =\"51164160\"]\n  26 [size=\"114037760\", alpha=\"0.07\", expect_size=\"45615104\"] \n  26 -> 28 [size =\"45615104\"]\n  27 [size=\"83635200\", alpha=\"0.04\", expect_size=\"33454080\"] \n  27 -> 29 [size =\"33454080\"]\n  28 [size=\"27036160\", alpha=\"0.18\", expect_size=\"10814464\"] \n  28 -> 30 [size =\"10814464\"]\n  29 [size=\"97356800\", alpha=\"0.02\", expect_size=\"38942720\"] \n  29 -> 30 [size =\"38942720\"]\n  30 [size=\"42977280\", alpha=\"0.08\", expect_size=\"17190912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55879680\", alpha=\"0.12\", expect_size=\"27939840\"] \n  1 -> 6 [size =\"27939840\"]\n  1 -> 7 [size =\"27939840\"]\n  1 -> 8 [size =\"27939840\"]\n  1 -> 9 [size =\"27939840\"]\n  2 [size=\"14356480\", alpha=\"0.12\", expect_size=\"7178240\"] \n  2 -> 5 [size =\"7178240\"]\n  2 -> 6 [size =\"7178240\"]\n  2 -> 7 [size =\"7178240\"]\n  2 -> 8 [size =\"7178240\"]\n  3 [size=\"76191744\", alpha=\"0.06\", expect_size=\"38095872\"] \n  3 -> 5 [size =\"38095872\"]\n  3 -> 6 [size =\"38095872\"]\n  3 -> 7 [size =\"38095872\"]\n  3 -> 8 [size =\"38095872\"]\n  3 -> 9 [size =\"38095872\"]\n  4 [size=\"39028736\", alpha=\"0.19\", expect_size=\"19514368\"] \n  4 -> 6 [size =\"19514368\"]\n  4 -> 7 [size =\"19514368\"]\n  4 -> 8 [size =\"19514368\"]\n  4 -> 9 [size =\"19514368\"]\n  4 -> 9 [size =\"19514368\"]\n  5 [size=\"15167488\", alpha=\"0.14\", expect_size=\"7583744\"] \n  5 -> 12 [size =\"7583744\"]\n  5 -> 13 [size =\"7583744\"]\n  6 [size=\"67999744\", alpha=\"0.10\", expect_size=\"33999872\"] \n  6 -> 10 [size =\"33999872\"]\n  6 -> 11 [size =\"33999872\"]\n  7 [size=\"25282560\", alpha=\"0.08\", expect_size=\"12641280\"] \n  7 -> 12 [size =\"12641280\"]\n  8 [size=\"40265728\", alpha=\"0.14\", expect_size=\"20132864\"] \n  8 -> 10 [size =\"20132864\"]\n  9 [size=\"49831936\", alpha=\"0.15\", expect_size=\"24915968\"] \n  9 -> 11 [size =\"24915968\"]\n  9 -> 12 [size =\"24915968\"]\n  9 -> 13 [size =\"24915968\"]\n  10 [size=\"38750208\", alpha=\"0.18\", expect_size=\"19375104\"] \n  10 -> 14 [size =\"19375104\"]\n  10 -> 15 [size =\"19375104\"]\n  10 -> 18 [size =\"19375104\"]\n  11 [size=\"71669760\", alpha=\"0.02\", expect_size=\"35834880\"] \n  11 -> 14 [size =\"35834880\"]\n  11 -> 15 [size =\"35834880\"]\n  11 -> 17 [size =\"35834880\"]\n  12 [size=\"33214464\", alpha=\"0.01\", expect_size=\"16607232\"] \n  12 -> 14 [size =\"16607232\"]\n  12 -> 15 [size =\"16607232\"]\n  12 -> 16 [size =\"16607232\"]\n  12 -> 18 [size =\"16607232\"]\n  13 [size=\"90462208\", alpha=\"0.06\", expect_size=\"45231104\"] \n  13 -> 14 [size =\"45231104\"]\n  14 [size=\"23793664\", alpha=\"0.06\", expect_size=\"11896832\"] \n  14 -> 19 [size =\"11896832\"]\n  14 -> 21 [size =\"11896832\"]\n  14 -> 22 [size =\"11896832\"]\n  14 -> 23 [size =\"11896832\"]\n  15 [size=\"21280768\", alpha=\"0.05\", expect_size=\"10640384\"] \n  15 -> 20 [size =\"10640384\"]\n  15 -> 21 [size =\"10640384\"]\n  15 -> 22 [size =\"10640384\"]\n  15 -> 23 [size =\"10640384\"]\n  16 [size=\"89217024\", alpha=\"0.18\", expect_size=\"44608512\"] \n  16 -> 19 [size =\"44608512\"]\n  16 -> 21 [size =\"44608512\"]\n  16 -> 22 [size =\"44608512\"]\n  16 -> 23 [size =\"44608512\"]\n  17 [size=\"43796480\", alpha=\"0.19\", expect_size=\"21898240\"] \n  17 -> 21 [size =\"21898240\"]\n  17 -> 22 [size =\"21898240\"]\n  17 -> 23 [size =\"21898240\"]\n  18 [size=\"81319936\", alpha=\"0.17\", expect_size=\"40659968\"] \n  18 -> 19 [size =\"40659968\"]\n  18 -> 20 [size =\"40659968\"]\n  18 -> 21 [size =\"40659968\"]\n  18 -> 23 [size =\"40659968\"]\n  19 [size=\"55343104\", alpha=\"0.13\", expect_size=\"27671552\"] \n  19 -> 24 [size =\"27671552\"]\n  19 -> 25 [size =\"27671552\"]\n  19 -> 26 [size =\"27671552\"]\n  19 -> 27 [size =\"27671552\"]\n  20 [size=\"33153024\", alpha=\"0.20\", expect_size=\"16576512\"] \n  20 -> 24 [size =\"16576512\"]\n  20 -> 25 [size =\"16576512\"]\n  20 -> 26 [size =\"16576512\"]\n  20 -> 27 [size =\"16576512\"]\n  21 [size=\"25350144\", alpha=\"0.16\", expect_size=\"12675072\"] \n  21 -> 24 [size =\"12675072\"]\n  21 -> 25 [size =\"12675072\"]\n  21 -> 26 [size =\"12675072\"]\n  21 -> 27 [size =\"12675072\"]\n  22 [size=\"37140480\", alpha=\"0.13\", expect_size=\"18570240\"] \n  22 -> 24 [size =\"18570240\"]\n  22 -> 25 [size =\"18570240\"]\n  22 -> 26 [size =\"18570240\"]\n  22 -> 27 [size =\"18570240\"]\n  23 [size=\"40486912\", alpha=\"0.05\", expect_size=\"20243456\"] \n  23 -> 24 [size =\"20243456\"]\n  23 -> 25 [size =\"20243456\"]\n  23 -> 26 [size =\"20243456\"]\n  24 [size=\"70064128\", alpha=\"0.02\", expect_size=\"35032064\"] \n  24 -> 28 [size =\"35032064\"]\n  24 -> 29 [size =\"35032064\"]\n  25 [size=\"98897920\", alpha=\"0.00\", expect_size=\"49448960\"] \n  25 -> 28 [size =\"49448960\"]\n  25 -> 29 [size =\"49448960\"]\n  26 [size=\"29429760\", alpha=\"0.11\", expect_size=\"14714880\"] \n  26 -> 28 [size =\"14714880\"]\n  26 -> 30 [size =\"14714880\"]\n  27 [size=\"18503680\", alpha=\"0.04\", expect_size=\"9251840\"] \n  27 -> 28 [size =\"9251840\"]\n  27 -> 29 [size =\"9251840\"]\n  27 -> 30 [size =\"9251840\"]\n  28 [size=\"12503040\", alpha=\"0.04\", expect_size=\"6251520\"] \n  29 [size=\"91492352\", alpha=\"0.12\", expect_size=\"45746176\"] \n  30 [size=\"57595904\", alpha=\"0.07\", expect_size=\"28797952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72557227\", alpha=\"0.12\", expect_size=\"21767168\"] \n  1 -> 3 [size =\"21767168\"]\n  2 [size=\"67440640\", alpha=\"0.07\", expect_size=\"20232192\"] \n  2 -> 3 [size =\"20232192\"]\n  3 [size=\"90763947\", alpha=\"0.19\", expect_size=\"27229184\"] \n  3 -> 4 [size =\"27229184\"]\n  3 -> 5 [size =\"27229184\"]\n  4 [size=\"60750507\", alpha=\"0.10\", expect_size=\"18225152\"] \n  4 -> 6 [size =\"18225152\"]\n  5 [size=\"86903467\", alpha=\"0.15\", expect_size=\"26071040\"] \n  5 -> 6 [size =\"26071040\"]\n  6 [size=\"30747307\", alpha=\"0.03\", expect_size=\"9224192\"] \n  6 -> 7 [size =\"9224192\"]\n  7 [size=\"123706027\", alpha=\"0.04\", expect_size=\"37111808\"] \n  7 -> 8 [size =\"37111808\"]\n  7 -> 9 [size =\"37111808\"]\n  8 [size=\"94552747\", alpha=\"0.05\", expect_size=\"28365824\"] \n  8 -> 10 [size =\"28365824\"]\n  8 -> 11 [size =\"28365824\"]\n  9 [size=\"51978240\", alpha=\"0.01\", expect_size=\"15593472\"] \n  9 -> 10 [size =\"15593472\"]\n  9 -> 11 [size =\"15593472\"]\n  10 [size=\"170673493\", alpha=\"0.04\", expect_size=\"51202048\"] \n  10 -> 12 [size =\"51202048\"]\n  11 [size=\"93969067\", alpha=\"0.11\", expect_size=\"28190720\"] \n  11 -> 12 [size =\"28190720\"]\n  12 [size=\"29835947\", alpha=\"0.00\", expect_size=\"8950784\"] \n  12 -> 13 [size =\"8950784\"]\n  12 -> 14 [size =\"8950784\"]\n  13 [size=\"84688213\", alpha=\"0.12\", expect_size=\"25406464\"] \n  13 -> 15 [size =\"25406464\"]\n  13 -> 16 [size =\"25406464\"]\n  14 [size=\"77448533\", alpha=\"0.12\", expect_size=\"23234560\"] \n  14 -> 16 [size =\"23234560\"]\n  15 [size=\"156989440\", alpha=\"0.07\", expect_size=\"47096832\"] \n  15 -> 17 [size =\"47096832\"]\n  16 [size=\"114370560\", alpha=\"0.03\", expect_size=\"34311168\"] \n  16 -> 17 [size =\"34311168\"]\n  17 [size=\"134539947\", alpha=\"0.11\", expect_size=\"40361984\"] \n  17 -> 18 [size =\"40361984\"]\n  17 -> 19 [size =\"40361984\"]\n  18 [size=\"164464640\", alpha=\"0.13\", expect_size=\"49339392\"] \n  18 -> 20 [size =\"49339392\"]\n  19 [size=\"44806827\", alpha=\"0.13\", expect_size=\"13442048\"] \n  19 -> 20 [size =\"13442048\"]\n  19 -> 21 [size =\"13442048\"]\n  20 [size=\"48868693\", alpha=\"0.08\", expect_size=\"14660608\"] \n  20 -> 22 [size =\"14660608\"]\n  20 -> 23 [size =\"14660608\"]\n  21 [size=\"76506453\", alpha=\"0.09\", expect_size=\"22951936\"] \n  21 -> 22 [size =\"22951936\"]\n  21 -> 23 [size =\"22951936\"]\n  22 [size=\"159907840\", alpha=\"0.17\", expect_size=\"47972352\"] \n  22 -> 24 [size =\"47972352\"]\n  22 -> 25 [size =\"47972352\"]\n  23 [size=\"163556693\", alpha=\"0.15\", expect_size=\"49067008\"] \n  23 -> 24 [size =\"49067008\"]\n  23 -> 25 [size =\"49067008\"]\n  24 [size=\"102621867\", alpha=\"0.17\", expect_size=\"30786560\"] \n  24 -> 27 [size =\"30786560\"]\n  25 [size=\"37000533\", alpha=\"0.09\", expect_size=\"11100160\"] \n  25 -> 26 [size =\"11100160\"]\n  25 -> 27 [size =\"11100160\"]\n  26 [size=\"94583467\", alpha=\"0.02\", expect_size=\"28375040\"] \n  26 -> 28 [size =\"28375040\"]\n  27 [size=\"120784213\", alpha=\"0.09\", expect_size=\"36235264\"] \n  27 -> 28 [size =\"36235264\"]\n  28 [size=\"47107413\", alpha=\"0.05\", expect_size=\"14132224\"] \n  28 -> 29 [size =\"14132224\"]\n  28 -> 30 [size =\"14132224\"]\n  29 [size=\"149568853\", alpha=\"0.06\", expect_size=\"44870656\"] \n  30 [size=\"98082133\", alpha=\"0.06\", expect_size=\"29424640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27875328\", alpha=\"0.19\", expect_size=\"13937664\"] \n  1 -> 2 [size =\"13937664\"]\n  1 -> 3 [size =\"13937664\"]\n  2 [size=\"48803840\", alpha=\"0.19\", expect_size=\"24401920\"] \n  2 -> 5 [size =\"24401920\"]\n  3 [size=\"63072256\", alpha=\"0.03\", expect_size=\"31536128\"] \n  3 -> 4 [size =\"31536128\"]\n  4 [size=\"73385984\", alpha=\"0.14\", expect_size=\"36692992\"] \n  4 -> 7 [size =\"36692992\"]\n  5 [size=\"76423168\", alpha=\"0.09\", expect_size=\"38211584\"] \n  5 -> 6 [size =\"38211584\"]\n  6 [size=\"44349440\", alpha=\"0.09\", expect_size=\"22174720\"] \n  6 -> 8 [size =\"22174720\"]\n  6 -> 9 [size =\"22174720\"]\n  7 [size=\"24514560\", alpha=\"0.18\", expect_size=\"12257280\"] \n  8 [size=\"64897024\", alpha=\"0.19\", expect_size=\"32448512\"] \n  8 -> 10 [size =\"32448512\"]\n  9 [size=\"84561920\", alpha=\"0.14\", expect_size=\"42280960\"] \n  10 [size=\"96679936\", alpha=\"0.05\", expect_size=\"48339968\"] \n  10 -> 11 [size =\"48339968\"]\n  10 -> 12 [size =\"48339968\"]\n  11 [size=\"72376320\", alpha=\"0.09\", expect_size=\"36188160\"] \n  11 -> 14 [size =\"36188160\"]\n  12 [size=\"66041856\", alpha=\"0.01\", expect_size=\"33020928\"] \n  12 -> 13 [size =\"33020928\"]\n  12 -> 14 [size =\"33020928\"]\n  13 [size=\"59709440\", alpha=\"0.19\", expect_size=\"29854720\"] \n  13 -> 15 [size =\"29854720\"]\n  14 [size=\"76222464\", alpha=\"0.02\", expect_size=\"38111232\"] \n  14 -> 15 [size =\"38111232\"]\n  15 [size=\"46354432\", alpha=\"0.16\", expect_size=\"23177216\"] \n  15 -> 16 [size =\"23177216\"]\n  16 [size=\"87220224\", alpha=\"0.05\", expect_size=\"43610112\"] \n  16 -> 17 [size =\"43610112\"]\n  16 -> 18 [size =\"43610112\"]\n  17 [size=\"36935680\", alpha=\"0.07\", expect_size=\"18467840\"] \n  17 -> 19 [size =\"18467840\"]\n  18 [size=\"26976256\", alpha=\"0.01\", expect_size=\"13488128\"] \n  18 -> 19 [size =\"13488128\"]\n  19 [size=\"22214656\", alpha=\"0.12\", expect_size=\"11107328\"] \n  19 -> 20 [size =\"11107328\"]\n  20 [size=\"87306240\", alpha=\"0.04\", expect_size=\"43653120\"] \n  20 -> 21 [size =\"43653120\"]\n  20 -> 22 [size =\"43653120\"]\n  21 [size=\"14956544\", alpha=\"0.20\", expect_size=\"7478272\"] \n  21 -> 23 [size =\"7478272\"]\n  21 -> 24 [size =\"7478272\"]\n  22 [size=\"59658240\", alpha=\"0.04\", expect_size=\"29829120\"] \n  22 -> 24 [size =\"29829120\"]\n  23 [size=\"66144256\", alpha=\"0.19\", expect_size=\"33072128\"] \n  24 [size=\"61165568\", alpha=\"0.07\", expect_size=\"30582784\"] \n  24 -> 25 [size =\"30582784\"]\n  25 [size=\"69359616\", alpha=\"0.09\", expect_size=\"34679808\"] \n  25 -> 26 [size =\"34679808\"]\n  26 [size=\"48351232\", alpha=\"0.18\", expect_size=\"24175616\"] \n  26 -> 27 [size =\"24175616\"]\n  26 -> 28 [size =\"24175616\"]\n  27 [size=\"70729728\", alpha=\"0.11\", expect_size=\"35364864\"] \n  27 -> 29 [size =\"35364864\"]\n  28 [size=\"103886848\", alpha=\"0.15\", expect_size=\"51943424\"] \n  28 -> 29 [size =\"51943424\"]\n  28 -> 30 [size =\"51943424\"]\n  29 [size=\"12967936\", alpha=\"0.14\", expect_size=\"6483968\"] \n  30 [size=\"71084032\", alpha=\"0.12\", expect_size=\"35542016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42643456\", alpha=\"0.00\", expect_size=\"21321728\"] \n  1 -> 3 [size =\"21321728\"]\n  2 [size=\"86220800\", alpha=\"0.07\", expect_size=\"43110400\"] \n  2 -> 3 [size =\"43110400\"]\n  3 [size=\"36251648\", alpha=\"0.02\", expect_size=\"18125824\"] \n  3 -> 4 [size =\"18125824\"]\n  3 -> 5 [size =\"18125824\"]\n  4 [size=\"71993344\", alpha=\"0.08\", expect_size=\"35996672\"] \n  4 -> 6 [size =\"35996672\"]\n  5 [size=\"37945344\", alpha=\"0.09\", expect_size=\"18972672\"] \n  5 -> 6 [size =\"18972672\"]\n  6 [size=\"61253632\", alpha=\"0.10\", expect_size=\"30626816\"] \n  6 -> 7 [size =\"30626816\"]\n  6 -> 8 [size =\"30626816\"]\n  7 [size=\"22833152\", alpha=\"0.11\", expect_size=\"11416576\"] \n  7 -> 9 [size =\"11416576\"]\n  8 [size=\"22941696\", alpha=\"0.02\", expect_size=\"11470848\"] \n  9 [size=\"12134400\", alpha=\"0.04\", expect_size=\"6067200\"] \n  9 -> 10 [size =\"6067200\"]\n  10 [size=\"60563456\", alpha=\"0.05\", expect_size=\"30281728\"] \n  10 -> 11 [size =\"30281728\"]\n  11 [size=\"90560512\", alpha=\"0.03\", expect_size=\"45280256\"] \n  11 -> 12 [size =\"45280256\"]\n  12 [size=\"92743680\", alpha=\"0.05\", expect_size=\"46371840\"] \n  12 -> 13 [size =\"46371840\"]\n  13 [size=\"32360448\", alpha=\"0.03\", expect_size=\"16180224\"] \n  13 -> 14 [size =\"16180224\"]\n  13 -> 15 [size =\"16180224\"]\n  14 [size=\"42782720\", alpha=\"0.18\", expect_size=\"21391360\"] \n  15 [size=\"81690624\", alpha=\"0.04\", expect_size=\"40845312\"] \n  15 -> 16 [size =\"40845312\"]\n  16 [size=\"27504640\", alpha=\"0.09\", expect_size=\"13752320\"] \n  16 -> 17 [size =\"13752320\"]\n  17 [size=\"77043712\", alpha=\"0.03\", expect_size=\"38521856\"] \n  17 -> 18 [size =\"38521856\"]\n  18 [size=\"33441792\", alpha=\"0.01\", expect_size=\"16720896\"] \n  18 -> 19 [size =\"16720896\"]\n  19 [size=\"41738240\", alpha=\"0.00\", expect_size=\"20869120\"] \n  19 -> 20 [size =\"20869120\"]\n  19 -> 21 [size =\"20869120\"]\n  20 [size=\"62447616\", alpha=\"0.07\", expect_size=\"31223808\"] \n  20 -> 22 [size =\"31223808\"]\n  20 -> 23 [size =\"31223808\"]\n  21 [size=\"87336960\", alpha=\"0.01\", expect_size=\"43668480\"] \n  21 -> 22 [size =\"43668480\"]\n  21 -> 23 [size =\"43668480\"]\n  22 [size=\"102352896\", alpha=\"0.11\", expect_size=\"51176448\"] \n  23 [size=\"29577216\", alpha=\"0.07\", expect_size=\"14788608\"] \n  23 -> 24 [size =\"14788608\"]\n  24 [size=\"43597824\", alpha=\"0.15\", expect_size=\"21798912\"] \n  24 -> 25 [size =\"21798912\"]\n  25 [size=\"36395008\", alpha=\"0.09\", expect_size=\"18197504\"] \n  25 -> 26 [size =\"18197504\"]\n  25 -> 27 [size =\"18197504\"]\n  26 [size=\"52928512\", alpha=\"0.15\", expect_size=\"26464256\"] \n  26 -> 28 [size =\"26464256\"]\n  27 [size=\"96897024\", alpha=\"0.02\", expect_size=\"48448512\"] \n  27 -> 28 [size =\"48448512\"]\n  28 [size=\"15419392\", alpha=\"0.13\", expect_size=\"7709696\"] \n  28 -> 29 [size =\"7709696\"]\n  29 [size=\"18466816\", alpha=\"0.03\", expect_size=\"9233408\"] \n  29 -> 30 [size =\"9233408\"]\n  30 [size=\"18663424\", alpha=\"0.05\", expect_size=\"9331712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86064640\", alpha=\"0.02\", expect_size=\"34425856\"] \n  1 -> 2 [size =\"34425856\"]\n  2 [size=\"80691200\", alpha=\"0.12\", expect_size=\"32276480\"] \n  2 -> 3 [size =\"32276480\"]\n  3 [size=\"70190080\", alpha=\"0.08\", expect_size=\"28076032\"] \n  3 -> 4 [size =\"28076032\"]\n  4 [size=\"27962880\", alpha=\"0.11\", expect_size=\"11185152\"] \n  4 -> 5 [size =\"11185152\"]\n  5 [size=\"50915840\", alpha=\"0.03\", expect_size=\"20366336\"] \n  5 -> 6 [size =\"20366336\"]\n  6 [size=\"15247360\", alpha=\"0.17\", expect_size=\"6098944\"] \n  6 -> 7 [size =\"6098944\"]\n  7 [size=\"84943360\", alpha=\"0.04\", expect_size=\"33977344\"] \n  7 -> 8 [size =\"33977344\"]\n  8 [size=\"87178240\", alpha=\"0.08\", expect_size=\"34871296\"] \n  8 -> 9 [size =\"34871296\"]\n  9 [size=\"36190720\", alpha=\"0.18\", expect_size=\"14476288\"] \n  9 -> 10 [size =\"14476288\"]\n  10 [size=\"60346880\", alpha=\"0.08\", expect_size=\"24138752\"] \n  10 -> 11 [size =\"24138752\"]\n  11 [size=\"46318080\", alpha=\"0.18\", expect_size=\"18527232\"] \n  11 -> 12 [size =\"18527232\"]\n  12 [size=\"56130560\", alpha=\"0.16\", expect_size=\"22452224\"] \n  12 -> 13 [size =\"22452224\"]\n  13 [size=\"125396480\", alpha=\"0.19\", expect_size=\"50158592\"] \n  13 -> 14 [size =\"50158592\"]\n  14 [size=\"57011200\", alpha=\"0.18\", expect_size=\"22804480\"] \n  14 -> 15 [size =\"22804480\"]\n  15 [size=\"119216640\", alpha=\"0.12\", expect_size=\"47686656\"] \n  15 -> 16 [size =\"47686656\"]\n  16 [size=\"16133120\", alpha=\"0.16\", expect_size=\"6453248\"] \n  16 -> 17 [size =\"6453248\"]\n  17 [size=\"118481920\", alpha=\"0.19\", expect_size=\"47392768\"] \n  17 -> 18 [size =\"47392768\"]\n  18 [size=\"23575040\", alpha=\"0.05\", expect_size=\"9430016\"] \n  18 -> 19 [size =\"9430016\"]\n  19 [size=\"71667200\", alpha=\"0.18\", expect_size=\"28666880\"] \n  19 -> 20 [size =\"28666880\"]\n  20 [size=\"56960000\", alpha=\"0.20\", expect_size=\"22784000\"] \n  20 -> 21 [size =\"22784000\"]\n  21 [size=\"104460800\", alpha=\"0.13\", expect_size=\"41784320\"] \n  21 -> 22 [size =\"41784320\"]\n  22 [size=\"91776000\", alpha=\"0.19\", expect_size=\"36710400\"] \n  22 -> 23 [size =\"36710400\"]\n  23 [size=\"70356480\", alpha=\"0.14\", expect_size=\"28142592\"] \n  23 -> 24 [size =\"28142592\"]\n  24 [size=\"67141120\", alpha=\"0.11\", expect_size=\"26856448\"] \n  24 -> 25 [size =\"26856448\"]\n  25 [size=\"53754880\", alpha=\"0.15\", expect_size=\"21501952\"] \n  25 -> 26 [size =\"21501952\"]\n  26 [size=\"125114880\", alpha=\"0.19\", expect_size=\"50045952\"] \n  26 -> 27 [size =\"50045952\"]\n  27 [size=\"99059200\", alpha=\"0.16\", expect_size=\"39623680\"] \n  27 -> 28 [size =\"39623680\"]\n  28 [size=\"93754880\", alpha=\"0.05\", expect_size=\"37501952\"] \n  28 -> 29 [size =\"37501952\"]\n  29 [size=\"124915200\", alpha=\"0.18\", expect_size=\"49966080\"] \n  29 -> 30 [size =\"49966080\"]\n  30 [size=\"113638400\", alpha=\"0.19\", expect_size=\"45455360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25747456\", alpha=\"0.05\", expect_size=\"12873728\"] \n  1 -> 3 [size =\"12873728\"]\n  2 [size=\"22814720\", alpha=\"0.06\", expect_size=\"11407360\"] \n  2 -> 4 [size =\"11407360\"]\n  3 [size=\"52217856\", alpha=\"0.07\", expect_size=\"26108928\"] \n  3 -> 5 [size =\"26108928\"]\n  4 [size=\"79597568\", alpha=\"0.08\", expect_size=\"39798784\"] \n  5 [size=\"49768448\", alpha=\"0.09\", expect_size=\"24884224\"] \n  5 -> 6 [size =\"24884224\"]\n  5 -> 7 [size =\"24884224\"]\n  6 [size=\"104716288\", alpha=\"0.16\", expect_size=\"52358144\"] \n  7 [size=\"100696064\", alpha=\"0.01\", expect_size=\"50348032\"] \n  7 -> 8 [size =\"50348032\"]\n  8 [size=\"94783488\", alpha=\"0.12\", expect_size=\"47391744\"] \n  8 -> 9 [size =\"47391744\"]\n  9 [size=\"58689536\", alpha=\"0.06\", expect_size=\"29344768\"] \n  9 -> 10 [size =\"29344768\"]\n  9 -> 11 [size =\"29344768\"]\n  10 [size=\"95244288\", alpha=\"0.08\", expect_size=\"47622144\"] \n  10 -> 12 [size =\"47622144\"]\n  11 [size=\"86081536\", alpha=\"0.12\", expect_size=\"43040768\"] \n  12 [size=\"16173056\", alpha=\"0.08\", expect_size=\"8086528\"] \n  12 -> 13 [size =\"8086528\"]\n  13 [size=\"45535232\", alpha=\"0.01\", expect_size=\"22767616\"] \n  13 -> 14 [size =\"22767616\"]\n  13 -> 15 [size =\"22767616\"]\n  14 [size=\"78393344\", alpha=\"0.11\", expect_size=\"39196672\"] \n  14 -> 16 [size =\"39196672\"]\n  15 [size=\"19806208\", alpha=\"0.12\", expect_size=\"9903104\"] \n  15 -> 17 [size =\"9903104\"]\n  16 [size=\"61675520\", alpha=\"0.01\", expect_size=\"30837760\"] \n  16 -> 19 [size =\"30837760\"]\n  17 [size=\"42960896\", alpha=\"0.18\", expect_size=\"21480448\"] \n  17 -> 18 [size =\"21480448\"]\n  18 [size=\"48707584\", alpha=\"0.08\", expect_size=\"24353792\"] \n  18 -> 20 [size =\"24353792\"]\n  19 [size=\"104038400\", alpha=\"0.12\", expect_size=\"52019200\"] \n  19 -> 21 [size =\"52019200\"]\n  20 [size=\"35637248\", alpha=\"0.18\", expect_size=\"17818624\"] \n  20 -> 22 [size =\"17818624\"]\n  20 -> 23 [size =\"17818624\"]\n  21 [size=\"73740288\", alpha=\"0.08\", expect_size=\"36870144\"] \n  22 [size=\"33916928\", alpha=\"0.20\", expect_size=\"16958464\"] \n  22 -> 25 [size =\"16958464\"]\n  23 [size=\"71680000\", alpha=\"0.01\", expect_size=\"35840000\"] \n  23 -> 24 [size =\"35840000\"]\n  24 [size=\"75317248\", alpha=\"0.16\", expect_size=\"37658624\"] \n  24 -> 26 [size =\"37658624\"]\n  25 [size=\"34136064\", alpha=\"0.00\", expect_size=\"17068032\"] \n  26 [size=\"92622848\", alpha=\"0.04\", expect_size=\"46311424\"] \n  26 -> 27 [size =\"46311424\"]\n  27 [size=\"97464320\", alpha=\"0.07\", expect_size=\"48732160\"] \n  27 -> 28 [size =\"48732160\"]\n  28 [size=\"88991744\", alpha=\"0.08\", expect_size=\"44495872\"] \n  28 -> 29 [size =\"44495872\"]\n  28 -> 30 [size =\"44495872\"]\n  29 [size=\"32397312\", alpha=\"0.19\", expect_size=\"16198656\"] \n  30 [size=\"88954880\", alpha=\"0.08\", expect_size=\"44477440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91276800\", alpha=\"0.20\", expect_size=\"36510720\"] \n  1 -> 12 [size =\"36510720\"]\n  1 -> 13 [size =\"36510720\"]\n  1 -> 16 [size =\"36510720\"]\n  1 -> 22 [size =\"36510720\"]\n  2 [size=\"47303680\", alpha=\"0.16\", expect_size=\"18921472\"] \n  2 -> 12 [size =\"18921472\"]\n  2 -> 13 [size =\"18921472\"]\n  2 -> 17 [size =\"18921472\"]\n  2 -> 18 [size =\"18921472\"]\n  2 -> 21 [size =\"18921472\"]\n  3 [size=\"55262720\", alpha=\"0.17\", expect_size=\"22105088\"] \n  3 -> 20 [size =\"22105088\"]\n  3 -> 22 [size =\"22105088\"]\n  4 [size=\"94650880\", alpha=\"0.03\", expect_size=\"37860352\"] \n  4 -> 14 [size =\"37860352\"]\n  4 -> 19 [size =\"37860352\"]\n  4 -> 21 [size =\"37860352\"]\n  5 [size=\"38668800\", alpha=\"0.08\", expect_size=\"15467520\"] \n  5 -> 12 [size =\"15467520\"]\n  5 -> 13 [size =\"15467520\"]\n  5 -> 17 [size =\"15467520\"]\n  5 -> 18 [size =\"15467520\"]\n  5 -> 19 [size =\"15467520\"]\n  5 -> 21 [size =\"15467520\"]\n  5 -> 22 [size =\"15467520\"]\n  6 [size=\"105410560\", alpha=\"0.16\", expect_size=\"42164224\"] \n  6 -> 12 [size =\"42164224\"]\n  6 -> 15 [size =\"42164224\"]\n  6 -> 21 [size =\"42164224\"]\n  6 -> 22 [size =\"42164224\"]\n  7 [size=\"91714560\", alpha=\"0.07\", expect_size=\"36685824\"] \n  7 -> 16 [size =\"36685824\"]\n  7 -> 18 [size =\"36685824\"]\n  7 -> 21 [size =\"36685824\"]\n  7 -> 22 [size =\"36685824\"]\n  8 [size=\"22919680\", alpha=\"0.09\", expect_size=\"9167872\"] \n  8 -> 12 [size =\"9167872\"]\n  8 -> 16 [size =\"9167872\"]\n  8 -> 22 [size =\"9167872\"]\n  8 -> 22 [size =\"9167872\"]\n  9 [size=\"54266880\", alpha=\"0.12\", expect_size=\"21706752\"] \n  9 -> 16 [size =\"21706752\"]\n  9 -> 17 [size =\"21706752\"]\n  9 -> 19 [size =\"21706752\"]\n  10 [size=\"18936320\", alpha=\"0.06\", expect_size=\"7574528\"] \n  10 -> 16 [size =\"7574528\"]\n  11 [size=\"102062080\", alpha=\"0.04\", expect_size=\"40824832\"] \n  11 -> 21 [size =\"40824832\"]\n  12 [size=\"100579840\", alpha=\"0.10\", expect_size=\"40231936\"] \n  12 -> 24 [size =\"40231936\"]\n  12 -> 30 [size =\"40231936\"]\n  13 [size=\"79380480\", alpha=\"0.18\", expect_size=\"31752192\"] \n  13 -> 24 [size =\"31752192\"]\n  13 -> 29 [size =\"31752192\"]\n  14 [size=\"59468800\", alpha=\"0.18\", expect_size=\"23787520\"] \n  14 -> 23 [size =\"23787520\"]\n  14 -> 29 [size =\"23787520\"]\n  14 -> 30 [size =\"23787520\"]\n  15 [size=\"76195840\", alpha=\"0.02\", expect_size=\"30478336\"] \n  15 -> 24 [size =\"30478336\"]\n  16 [size=\"123248640\", alpha=\"0.12\", expect_size=\"49299456\"] \n  16 -> 23 [size =\"49299456\"]\n  16 -> 28 [size =\"49299456\"]\n  17 [size=\"102400000\", alpha=\"0.04\", expect_size=\"40960000\"] \n  17 -> 23 [size =\"40960000\"]\n  17 -> 24 [size =\"40960000\"]\n  17 -> 27 [size =\"40960000\"]\n  17 -> 28 [size =\"40960000\"]\n  17 -> 29 [size =\"40960000\"]\n  18 [size=\"25866240\", alpha=\"0.05\", expect_size=\"10346496\"] \n  18 -> 23 [size =\"10346496\"]\n  18 -> 24 [size =\"10346496\"]\n  18 -> 25 [size =\"10346496\"]\n  19 [size=\"79106560\", alpha=\"0.01\", expect_size=\"31642624\"] \n  19 -> 25 [size =\"31642624\"]\n  19 -> 28 [size =\"31642624\"]\n  20 [size=\"29785600\", alpha=\"0.13\", expect_size=\"11914240\"] \n  20 -> 26 [size =\"11914240\"]\n  20 -> 27 [size =\"11914240\"]\n  21 [size=\"64744960\", alpha=\"0.18\", expect_size=\"25897984\"] \n  21 -> 27 [size =\"25897984\"]\n  22 [size=\"86297600\", alpha=\"0.09\", expect_size=\"34519040\"] \n  22 -> 27 [size =\"34519040\"]\n  22 -> 28 [size =\"34519040\"]\n  22 -> 30 [size =\"34519040\"]\n  23 [size=\"27317760\", alpha=\"0.07\", expect_size=\"10927104\"] \n  24 [size=\"16299520\", alpha=\"0.18\", expect_size=\"6519808\"] \n  25 [size=\"121766400\", alpha=\"0.15\", expect_size=\"48706560\"] \n  26 [size=\"18007040\", alpha=\"0.06\", expect_size=\"7202816\"] \n  27 [size=\"91691520\", alpha=\"0.11\", expect_size=\"36676608\"] \n  28 [size=\"116331520\", alpha=\"0.18\", expect_size=\"46532608\"] \n  29 [size=\"26124800\", alpha=\"0.12\", expect_size=\"10449920\"] \n  30 [size=\"33195520\", alpha=\"0.07\", expect_size=\"13278208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55436800\", alpha=\"0.01\", expect_size=\"22174720\"] \n  1 -> 3 [size =\"22174720\"]\n  2 [size=\"102755840\", alpha=\"0.11\", expect_size=\"41102336\"] \n  3 [size=\"39892480\", alpha=\"0.13\", expect_size=\"15956992\"] \n  3 -> 4 [size =\"15956992\"]\n  3 -> 5 [size =\"15956992\"]\n  4 [size=\"83545600\", alpha=\"0.00\", expect_size=\"33418240\"] \n  4 -> 7 [size =\"33418240\"]\n  5 [size=\"44316160\", alpha=\"0.05\", expect_size=\"17726464\"] \n  5 -> 6 [size =\"17726464\"]\n  6 [size=\"79357440\", alpha=\"0.05\", expect_size=\"31742976\"] \n  7 [size=\"122680320\", alpha=\"0.08\", expect_size=\"49072128\"] \n  7 -> 8 [size =\"49072128\"]\n  8 [size=\"45519360\", alpha=\"0.14\", expect_size=\"18207744\"] \n  8 -> 9 [size =\"18207744\"]\n  9 [size=\"124372480\", alpha=\"0.14\", expect_size=\"49748992\"] \n  9 -> 10 [size =\"49748992\"]\n  10 [size=\"83438080\", alpha=\"0.13\", expect_size=\"33375232\"] \n  10 -> 11 [size =\"33375232\"]\n  11 [size=\"120519680\", alpha=\"0.04\", expect_size=\"48207872\"] \n  11 -> 12 [size =\"48207872\"]\n  12 [size=\"127500800\", alpha=\"0.12\", expect_size=\"51000320\"] \n  12 -> 13 [size =\"51000320\"]\n  12 -> 14 [size =\"51000320\"]\n  13 [size=\"74647040\", alpha=\"0.00\", expect_size=\"29858816\"] \n  14 [size=\"32878080\", alpha=\"0.06\", expect_size=\"13151232\"] \n  14 -> 15 [size =\"13151232\"]\n  15 [size=\"33111040\", alpha=\"0.07\", expect_size=\"13244416\"] \n  15 -> 16 [size =\"13244416\"]\n  16 [size=\"61903360\", alpha=\"0.11\", expect_size=\"24761344\"] \n  16 -> 17 [size =\"24761344\"]\n  17 [size=\"92536320\", alpha=\"0.07\", expect_size=\"37014528\"] \n  17 -> 18 [size =\"37014528\"]\n  18 [size=\"22645760\", alpha=\"0.11\", expect_size=\"9058304\"] \n  18 -> 19 [size =\"9058304\"]\n  18 -> 20 [size =\"9058304\"]\n  19 [size=\"107235840\", alpha=\"0.12\", expect_size=\"42894336\"] \n  19 -> 21 [size =\"42894336\"]\n  19 -> 22 [size =\"42894336\"]\n  20 [size=\"70604800\", alpha=\"0.18\", expect_size=\"28241920\"] \n  21 [size=\"31703040\", alpha=\"0.11\", expect_size=\"12681216\"] \n  22 [size=\"55370240\", alpha=\"0.19\", expect_size=\"22148096\"] \n  22 -> 23 [size =\"22148096\"]\n  22 -> 24 [size =\"22148096\"]\n  23 [size=\"125437440\", alpha=\"0.12\", expect_size=\"50174976\"] \n  23 -> 25 [size =\"50174976\"]\n  23 -> 26 [size =\"50174976\"]\n  24 [size=\"125670400\", alpha=\"0.17\", expect_size=\"50268160\"] \n  25 [size=\"44052480\", alpha=\"0.07\", expect_size=\"17620992\"] \n  26 [size=\"83415040\", alpha=\"0.08\", expect_size=\"33366016\"] \n  26 -> 27 [size =\"33366016\"]\n  27 [size=\"28564480\", alpha=\"0.08\", expect_size=\"11425792\"] \n  27 -> 28 [size =\"11425792\"]\n  27 -> 29 [size =\"11425792\"]\n  28 [size=\"68500480\", alpha=\"0.14\", expect_size=\"27400192\"] \n  28 -> 30 [size =\"27400192\"]\n  29 [size=\"16227840\", alpha=\"0.18\", expect_size=\"6491136\"] \n  30 [size=\"84108800\", alpha=\"0.14\", expect_size=\"33643520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45859840\", alpha=\"0.12\", expect_size=\"18343936\"] \n  1 -> 25 [size =\"18343936\"]\n  1 -> 26 [size =\"18343936\"]\n  1 -> 27 [size =\"18343936\"]\n  1 -> 28 [size =\"18343936\"]\n  2 [size=\"41940480\", alpha=\"0.12\", expect_size=\"16776192\"] \n  2 -> 23 [size =\"16776192\"]\n  2 -> 26 [size =\"16776192\"]\n  2 -> 30 [size =\"16776192\"]\n  3 [size=\"129287680\", alpha=\"0.03\", expect_size=\"51715072\"] \n  3 -> 22 [size =\"51715072\"]\n  3 -> 26 [size =\"51715072\"]\n  3 -> 28 [size =\"51715072\"]\n  3 -> 29 [size =\"51715072\"]\n  4 [size=\"93025280\", alpha=\"0.08\", expect_size=\"37210112\"] \n  4 -> 24 [size =\"37210112\"]\n  4 -> 26 [size =\"37210112\"]\n  4 -> 30 [size =\"37210112\"]\n  5 [size=\"32064000\", alpha=\"0.17\", expect_size=\"12825600\"] \n  5 -> 24 [size =\"12825600\"]\n  5 -> 26 [size =\"12825600\"]\n  5 -> 27 [size =\"12825600\"]\n  5 -> 30 [size =\"12825600\"]\n  6 [size=\"35763200\", alpha=\"0.06\", expect_size=\"14305280\"] \n  6 -> 26 [size =\"14305280\"]\n  6 -> 26 [size =\"14305280\"]\n  6 -> 30 [size =\"14305280\"]\n  7 [size=\"68710400\", alpha=\"0.09\", expect_size=\"27484160\"] \n  7 -> 22 [size =\"27484160\"]\n  7 -> 26 [size =\"27484160\"]\n  7 -> 27 [size =\"27484160\"]\n  7 -> 28 [size =\"27484160\"]\n  8 [size=\"109337600\", alpha=\"0.07\", expect_size=\"43735040\"] \n  8 -> 24 [size =\"43735040\"]\n  8 -> 27 [size =\"43735040\"]\n  9 [size=\"129687040\", alpha=\"0.12\", expect_size=\"51874816\"] \n  9 -> 22 [size =\"51874816\"]\n  9 -> 23 [size =\"51874816\"]\n  9 -> 26 [size =\"51874816\"]\n  10 [size=\"106682880\", alpha=\"0.05\", expect_size=\"42673152\"] \n  10 -> 23 [size =\"42673152\"]\n  11 [size=\"69601280\", alpha=\"0.02\", expect_size=\"27840512\"] \n  11 -> 23 [size =\"27840512\"]\n  11 -> 24 [size =\"27840512\"]\n  11 -> 26 [size =\"27840512\"]\n  11 -> 28 [size =\"27840512\"]\n  11 -> 29 [size =\"27840512\"]\n  11 -> 30 [size =\"27840512\"]\n  12 [size=\"24099840\", alpha=\"0.10\", expect_size=\"9639936\"] \n  12 -> 23 [size =\"9639936\"]\n  12 -> 24 [size =\"9639936\"]\n  12 -> 26 [size =\"9639936\"]\n  12 -> 30 [size =\"9639936\"]\n  13 [size=\"96135680\", alpha=\"0.06\", expect_size=\"38454272\"] \n  13 -> 22 [size =\"38454272\"]\n  13 -> 23 [size =\"38454272\"]\n  13 -> 27 [size =\"38454272\"]\n  13 -> 30 [size =\"38454272\"]\n  14 [size=\"116523520\", alpha=\"0.10\", expect_size=\"46609408\"] \n  14 -> 23 [size =\"46609408\"]\n  14 -> 24 [size =\"46609408\"]\n  14 -> 30 [size =\"46609408\"]\n  15 [size=\"48158720\", alpha=\"0.05\", expect_size=\"19263488\"] \n  15 -> 23 [size =\"19263488\"]\n  15 -> 24 [size =\"19263488\"]\n  15 -> 25 [size =\"19263488\"]\n  15 -> 26 [size =\"19263488\"]\n  15 -> 27 [size =\"19263488\"]\n  15 -> 30 [size =\"19263488\"]\n  16 [size=\"29826560\", alpha=\"0.08\", expect_size=\"11930624\"] \n  16 -> 23 [size =\"11930624\"]\n  16 -> 24 [size =\"11930624\"]\n  16 -> 26 [size =\"11930624\"]\n  16 -> 30 [size =\"11930624\"]\n  17 [size=\"67036160\", alpha=\"0.08\", expect_size=\"26814464\"] \n  17 -> 23 [size =\"26814464\"]\n  17 -> 24 [size =\"26814464\"]\n  17 -> 26 [size =\"26814464\"]\n  17 -> 27 [size =\"26814464\"]\n  17 -> 28 [size =\"26814464\"]\n  17 -> 29 [size =\"26814464\"]\n  18 [size=\"120061440\", alpha=\"0.03\", expect_size=\"48024576\"] \n  18 -> 23 [size =\"48024576\"]\n  18 -> 24 [size =\"48024576\"]\n  18 -> 25 [size =\"48024576\"]\n  18 -> 26 [size =\"48024576\"]\n  18 -> 27 [size =\"48024576\"]\n  18 -> 28 [size =\"48024576\"]\n  18 -> 30 [size =\"48024576\"]\n  19 [size=\"45562880\", alpha=\"0.16\", expect_size=\"18225152\"] \n  19 -> 23 [size =\"18225152\"]\n  19 -> 24 [size =\"18225152\"]\n  19 -> 26 [size =\"18225152\"]\n  19 -> 28 [size =\"18225152\"]\n  20 [size=\"117895680\", alpha=\"0.03\", expect_size=\"47158272\"] \n  20 -> 24 [size =\"47158272\"]\n  20 -> 26 [size =\"47158272\"]\n  20 -> 27 [size =\"47158272\"]\n  20 -> 28 [size =\"47158272\"]\n  21 [size=\"27361280\", alpha=\"0.16\", expect_size=\"10944512\"] \n  21 -> 23 [size =\"10944512\"]\n  21 -> 26 [size =\"10944512\"]\n  22 [size=\"38863360\", alpha=\"0.13\", expect_size=\"15545344\"] \n  23 [size=\"98053120\", alpha=\"0.10\", expect_size=\"39221248\"] \n  24 [size=\"13250560\", alpha=\"0.01\", expect_size=\"5300224\"] \n  25 [size=\"73172480\", alpha=\"0.15\", expect_size=\"29268992\"] \n  26 [size=\"101337600\", alpha=\"0.13\", expect_size=\"40535040\"] \n  27 [size=\"32995840\", alpha=\"0.00\", expect_size=\"13198336\"] \n  28 [size=\"80691200\", alpha=\"0.04\", expect_size=\"32276480\"] \n  29 [size=\"97561600\", alpha=\"0.07\", expect_size=\"39024640\"] \n  30 [size=\"72115200\", alpha=\"0.07\", expect_size=\"28846080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105209173\", alpha=\"0.12\", expect_size=\"31562752\"] \n  1 -> 2 [size =\"31562752\"]\n  2 [size=\"108646400\", alpha=\"0.11\", expect_size=\"32593920\"] \n  2 -> 3 [size =\"32593920\"]\n  2 -> 4 [size =\"32593920\"]\n  3 [size=\"124910933\", alpha=\"0.08\", expect_size=\"37473280\"] \n  3 -> 5 [size =\"37473280\"]\n  3 -> 6 [size =\"37473280\"]\n  4 [size=\"98426880\", alpha=\"0.08\", expect_size=\"29528064\"] \n  5 [size=\"28129280\", alpha=\"0.08\", expect_size=\"8438784\"] \n  5 -> 7 [size =\"8438784\"]\n  5 -> 8 [size =\"8438784\"]\n  6 [size=\"166376107\", alpha=\"0.08\", expect_size=\"49912832\"] \n  6 -> 8 [size =\"49912832\"]\n  7 [size=\"116251307\", alpha=\"0.02\", expect_size=\"34875392\"] \n  7 -> 9 [size =\"34875392\"]\n  7 -> 10 [size =\"34875392\"]\n  8 [size=\"51804160\", alpha=\"0.15\", expect_size=\"15541248\"] \n  8 -> 9 [size =\"15541248\"]\n  9 [size=\"50964480\", alpha=\"0.06\", expect_size=\"15289344\"] \n  9 -> 11 [size =\"15289344\"]\n  10 [size=\"72366080\", alpha=\"0.20\", expect_size=\"21709824\"] \n  11 [size=\"26961920\", alpha=\"0.02\", expect_size=\"8088576\"] \n  11 -> 12 [size =\"8088576\"]\n  11 -> 13 [size =\"8088576\"]\n  12 [size=\"122132480\", alpha=\"0.19\", expect_size=\"36639744\"] \n  12 -> 14 [size =\"36639744\"]\n  12 -> 15 [size =\"36639744\"]\n  13 [size=\"50558293\", alpha=\"0.05\", expect_size=\"15167488\"] \n  13 -> 15 [size =\"15167488\"]\n  14 [size=\"112261120\", alpha=\"0.11\", expect_size=\"33678336\"] \n  14 -> 16 [size =\"33678336\"]\n  15 [size=\"18278400\", alpha=\"0.03\", expect_size=\"5483520\"] \n  15 -> 16 [size =\"5483520\"]\n  16 [size=\"82885973\", alpha=\"0.06\", expect_size=\"24865792\"] \n  16 -> 17 [size =\"24865792\"]\n  16 -> 18 [size =\"24865792\"]\n  17 [size=\"144049493\", alpha=\"0.10\", expect_size=\"43214848\"] \n  17 -> 20 [size =\"43214848\"]\n  18 [size=\"157344427\", alpha=\"0.04\", expect_size=\"47203328\"] \n  18 -> 19 [size =\"47203328\"]\n  18 -> 20 [size =\"47203328\"]\n  19 [size=\"121207467\", alpha=\"0.08\", expect_size=\"36362240\"] \n  19 -> 21 [size =\"36362240\"]\n  19 -> 22 [size =\"36362240\"]\n  20 [size=\"166348800\", alpha=\"0.15\", expect_size=\"49904640\"] \n  20 -> 22 [size =\"49904640\"]\n  21 [size=\"164167680\", alpha=\"0.13\", expect_size=\"49250304\"] \n  21 -> 23 [size =\"49250304\"]\n  21 -> 24 [size =\"49250304\"]\n  22 [size=\"24948053\", alpha=\"0.02\", expect_size=\"7484416\"] \n  22 -> 23 [size =\"7484416\"]\n  23 [size=\"18268160\", alpha=\"0.05\", expect_size=\"5480448\"] \n  23 -> 25 [size =\"5480448\"]\n  24 [size=\"60689067\", alpha=\"0.19\", expect_size=\"18206720\"] \n  24 -> 25 [size =\"18206720\"]\n  25 [size=\"147203413\", alpha=\"0.14\", expect_size=\"44161024\"] \n  25 -> 26 [size =\"44161024\"]\n  26 [size=\"172817067\", alpha=\"0.07\", expect_size=\"51845120\"] \n  26 -> 27 [size =\"51845120\"]\n  26 -> 28 [size =\"51845120\"]\n  27 [size=\"59016533\", alpha=\"0.14\", expect_size=\"17704960\"] \n  27 -> 29 [size =\"17704960\"]\n  27 -> 30 [size =\"17704960\"]\n  28 [size=\"139417600\", alpha=\"0.05\", expect_size=\"41825280\"] \n  28 -> 29 [size =\"41825280\"]\n  28 -> 30 [size =\"41825280\"]\n  29 [size=\"169038507\", alpha=\"0.20\", expect_size=\"50711552\"] \n  30 [size=\"72697173\", alpha=\"0.01\", expect_size=\"21809152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30228480\", alpha=\"0.03\", expect_size=\"12091392\"] \n  1 -> 15 [size =\"12091392\"]\n  1 -> 19 [size =\"12091392\"]\n  2 [size=\"54174720\", alpha=\"0.04\", expect_size=\"21669888\"] \n  2 -> 11 [size =\"21669888\"]\n  2 -> 16 [size =\"21669888\"]\n  2 -> 18 [size =\"21669888\"]\n  3 [size=\"27025920\", alpha=\"0.07\", expect_size=\"10810368\"] \n  3 -> 12 [size =\"10810368\"]\n  3 -> 14 [size =\"10810368\"]\n  3 -> 18 [size =\"10810368\"]\n  3 -> 19 [size =\"10810368\"]\n  4 [size=\"52290560\", alpha=\"0.03\", expect_size=\"20916224\"] \n  4 -> 17 [size =\"20916224\"]\n  4 -> 18 [size =\"20916224\"]\n  4 -> 18 [size =\"20916224\"]\n  4 -> 19 [size =\"20916224\"]\n  5 [size=\"21335040\", alpha=\"0.15\", expect_size=\"8534016\"] \n  6 [size=\"125847040\", alpha=\"0.05\", expect_size=\"50338816\"] \n  6 -> 11 [size =\"50338816\"]\n  6 -> 12 [size =\"50338816\"]\n  7 [size=\"36956160\", alpha=\"0.06\", expect_size=\"14782464\"] \n  7 -> 11 [size =\"14782464\"]\n  7 -> 19 [size =\"14782464\"]\n  8 [size=\"90895360\", alpha=\"0.07\", expect_size=\"36358144\"] \n  8 -> 11 [size =\"36358144\"]\n  8 -> 12 [size =\"36358144\"]\n  8 -> 19 [size =\"36358144\"]\n  9 [size=\"63426560\", alpha=\"0.11\", expect_size=\"25370624\"] \n  9 -> 11 [size =\"25370624\"]\n  9 -> 13 [size =\"25370624\"]\n  9 -> 15 [size =\"25370624\"]\n  10 [size=\"110438400\", alpha=\"0.18\", expect_size=\"44175360\"] \n  10 -> 16 [size =\"44175360\"]\n  11 [size=\"109191680\", alpha=\"0.15\", expect_size=\"43676672\"] \n  11 -> 20 [size =\"43676672\"]\n  11 -> 21 [size =\"43676672\"]\n  11 -> 27 [size =\"43676672\"]\n  11 -> 30 [size =\"43676672\"]\n  12 [size=\"124426240\", alpha=\"0.01\", expect_size=\"49770496\"] \n  12 -> 20 [size =\"49770496\"]\n  12 -> 21 [size =\"49770496\"]\n  12 -> 22 [size =\"49770496\"]\n  12 -> 26 [size =\"49770496\"]\n  12 -> 28 [size =\"49770496\"]\n  12 -> 30 [size =\"49770496\"]\n  13 [size=\"31068160\", alpha=\"0.15\", expect_size=\"12427264\"] \n  13 -> 20 [size =\"12427264\"]\n  13 -> 23 [size =\"12427264\"]\n  13 -> 25 [size =\"12427264\"]\n  14 [size=\"69657600\", alpha=\"0.07\", expect_size=\"27863040\"] \n  14 -> 29 [size =\"27863040\"]\n  14 -> 30 [size =\"27863040\"]\n  15 [size=\"84938240\", alpha=\"0.09\", expect_size=\"33975296\"] \n  15 -> 21 [size =\"33975296\"]\n  15 -> 28 [size =\"33975296\"]\n  15 -> 29 [size =\"33975296\"]\n  16 [size=\"55672320\", alpha=\"0.18\", expect_size=\"22268928\"] \n  16 -> 22 [size =\"22268928\"]\n  16 -> 29 [size =\"22268928\"]\n  17 [size=\"86812160\", alpha=\"0.03\", expect_size=\"34724864\"] \n  17 -> 21 [size =\"34724864\"]\n  17 -> 29 [size =\"34724864\"]\n  18 [size=\"122649600\", alpha=\"0.09\", expect_size=\"49059840\"] \n  18 -> 24 [size =\"49059840\"]\n  18 -> 26 [size =\"49059840\"]\n  19 [size=\"43758080\", alpha=\"0.19\", expect_size=\"17503232\"] \n  19 -> 23 [size =\"17503232\"]\n  19 -> 26 [size =\"17503232\"]\n  19 -> 29 [size =\"17503232\"]\n  19 -> 30 [size =\"17503232\"]\n  20 [size=\"108971520\", alpha=\"0.19\", expect_size=\"43588608\"] \n  21 [size=\"96117760\", alpha=\"0.03\", expect_size=\"38447104\"] \n  22 [size=\"65635840\", alpha=\"0.13\", expect_size=\"26254336\"] \n  23 [size=\"69457920\", alpha=\"0.06\", expect_size=\"27783168\"] \n  24 [size=\"39147520\", alpha=\"0.06\", expect_size=\"15659008\"] \n  25 [size=\"82841600\", alpha=\"0.07\", expect_size=\"33136640\"] \n  26 [size=\"16903680\", alpha=\"0.07\", expect_size=\"6761472\"] \n  27 [size=\"123466240\", alpha=\"0.11\", expect_size=\"49386496\"] \n  28 [size=\"24775680\", alpha=\"0.08\", expect_size=\"9910272\"] \n  29 [size=\"77647360\", alpha=\"0.14\", expect_size=\"31058944\"] \n  30 [size=\"69440000\", alpha=\"0.17\", expect_size=\"27776000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78168064\", alpha=\"0.01\", expect_size=\"39084032\"] \n  2 [size=\"46256128\", alpha=\"0.06\", expect_size=\"23128064\"] \n  2 -> 16 [size =\"23128064\"]\n  3 [size=\"79118336\", alpha=\"0.13\", expect_size=\"39559168\"] \n  3 -> 15 [size =\"39559168\"]\n  3 -> 16 [size =\"39559168\"]\n  4 [size=\"79181824\", alpha=\"0.10\", expect_size=\"39590912\"] \n  4 -> 17 [size =\"39590912\"]\n  5 [size=\"51077120\", alpha=\"0.07\", expect_size=\"25538560\"] \n  6 [size=\"37025792\", alpha=\"0.16\", expect_size=\"18512896\"] \n  6 -> 15 [size =\"18512896\"]\n  6 -> 16 [size =\"18512896\"]\n  6 -> 17 [size =\"18512896\"]\n  7 [size=\"72744960\", alpha=\"0.12\", expect_size=\"36372480\"] \n  7 -> 15 [size =\"36372480\"]\n  7 -> 16 [size =\"36372480\"]\n  8 [size=\"32749568\", alpha=\"0.16\", expect_size=\"16374784\"] \n  8 -> 15 [size =\"16374784\"]\n  8 -> 18 [size =\"16374784\"]\n  9 [size=\"72568832\", alpha=\"0.01\", expect_size=\"36284416\"] \n  9 -> 17 [size =\"36284416\"]\n  10 [size=\"50573312\", alpha=\"0.13\", expect_size=\"25286656\"] \n  11 [size=\"30044160\", alpha=\"0.04\", expect_size=\"15022080\"] \n  11 -> 13 [size =\"15022080\"]\n  11 -> 14 [size =\"15022080\"]\n  11 -> 17 [size =\"15022080\"]\n  11 -> 18 [size =\"15022080\"]\n  12 [size=\"36333568\", alpha=\"0.10\", expect_size=\"18166784\"] \n  13 [size=\"63053824\", alpha=\"0.13\", expect_size=\"31526912\"] \n  13 -> 24 [size =\"31526912\"]\n  13 -> 27 [size =\"31526912\"]\n  14 [size=\"28114944\", alpha=\"0.16\", expect_size=\"14057472\"] \n  14 -> 19 [size =\"14057472\"]\n  14 -> 21 [size =\"14057472\"]\n  14 -> 22 [size =\"14057472\"]\n  14 -> 23 [size =\"14057472\"]\n  14 -> 27 [size =\"14057472\"]\n  15 [size=\"73705472\", alpha=\"0.01\", expect_size=\"36852736\"] \n  15 -> 19 [size =\"36852736\"]\n  15 -> 23 [size =\"36852736\"]\n  15 -> 25 [size =\"36852736\"]\n  16 [size=\"10971136\", alpha=\"0.19\", expect_size=\"5485568\"] \n  16 -> 21 [size =\"5485568\"]\n  16 -> 22 [size =\"5485568\"]\n  16 -> 23 [size =\"5485568\"]\n  16 -> 24 [size =\"5485568\"]\n  16 -> 25 [size =\"5485568\"]\n  17 [size=\"86712320\", alpha=\"0.10\", expect_size=\"43356160\"] \n  17 -> 19 [size =\"43356160\"]\n  17 -> 22 [size =\"43356160\"]\n  17 -> 24 [size =\"43356160\"]\n  17 -> 25 [size =\"43356160\"]\n  17 -> 27 [size =\"43356160\"]\n  18 [size=\"49838080\", alpha=\"0.15\", expect_size=\"24919040\"] \n  18 -> 20 [size =\"24919040\"]\n  18 -> 24 [size =\"24919040\"]\n  18 -> 25 [size =\"24919040\"]\n  18 -> 26 [size =\"24919040\"]\n  18 -> 27 [size =\"24919040\"]\n  18 -> 28 [size =\"24919040\"]\n  19 [size=\"31596544\", alpha=\"0.18\", expect_size=\"15798272\"] \n  20 [size=\"35801088\", alpha=\"0.05\", expect_size=\"17900544\"] \n  20 -> 30 [size =\"17900544\"]\n  21 [size=\"95942656\", alpha=\"0.06\", expect_size=\"47971328\"] \n  21 -> 29 [size =\"47971328\"]\n  21 -> 30 [size =\"47971328\"]\n  22 [size=\"20998144\", alpha=\"0.15\", expect_size=\"10499072\"] \n  23 [size=\"70344704\", alpha=\"0.18\", expect_size=\"35172352\"] \n  24 [size=\"39301120\", alpha=\"0.16\", expect_size=\"19650560\"] \n  24 -> 29 [size =\"19650560\"]\n  25 [size=\"18599936\", alpha=\"0.02\", expect_size=\"9299968\"] \n  26 [size=\"24033280\", alpha=\"0.14\", expect_size=\"12016640\"] \n  26 -> 30 [size =\"12016640\"]\n  27 [size=\"20471808\", alpha=\"0.20\", expect_size=\"10235904\"] \n  27 -> 29 [size =\"10235904\"]\n  27 -> 30 [size =\"10235904\"]\n  28 [size=\"68009984\", alpha=\"0.10\", expect_size=\"34004992\"] \n  28 -> 30 [size =\"34004992\"]\n  29 [size=\"44343296\", alpha=\"0.13\", expect_size=\"22171648\"] \n  30 [size=\"37128192\", alpha=\"0.04\", expect_size=\"18564096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95585280\", alpha=\"0.02\", expect_size=\"38234112\"] \n  2 [size=\"14464000\", alpha=\"0.19\", expect_size=\"5785600\"] \n  2 -> 26 [size =\"5785600\"]\n  2 -> 28 [size =\"5785600\"]\n  3 [size=\"63774720\", alpha=\"0.15\", expect_size=\"25509888\"] \n  3 -> 26 [size =\"25509888\"]\n  4 [size=\"127956480\", alpha=\"0.07\", expect_size=\"51182592\"] \n  4 -> 22 [size =\"51182592\"]\n  4 -> 24 [size =\"51182592\"]\n  4 -> 26 [size =\"51182592\"]\n  4 -> 28 [size =\"51182592\"]\n  4 -> 30 [size =\"51182592\"]\n  5 [size=\"24284160\", alpha=\"0.16\", expect_size=\"9713664\"] \n  5 -> 22 [size =\"9713664\"]\n  5 -> 24 [size =\"9713664\"]\n  6 [size=\"108382720\", alpha=\"0.12\", expect_size=\"43353088\"] \n  6 -> 23 [size =\"43353088\"]\n  6 -> 26 [size =\"43353088\"]\n  6 -> 29 [size =\"43353088\"]\n  6 -> 30 [size =\"43353088\"]\n  7 [size=\"19238400\", alpha=\"0.01\", expect_size=\"7695360\"] \n  7 -> 22 [size =\"7695360\"]\n  7 -> 26 [size =\"7695360\"]\n  7 -> 28 [size =\"7695360\"]\n  7 -> 29 [size =\"7695360\"]\n  8 [size=\"105909760\", alpha=\"0.14\", expect_size=\"42363904\"] \n  8 -> 21 [size =\"42363904\"]\n  8 -> 22 [size =\"42363904\"]\n  8 -> 25 [size =\"42363904\"]\n  8 -> 26 [size =\"42363904\"]\n  8 -> 29 [size =\"42363904\"]\n  9 [size=\"91973120\", alpha=\"0.07\", expect_size=\"36789248\"] \n  9 -> 25 [size =\"36789248\"]\n  9 -> 26 [size =\"36789248\"]\n  9 -> 28 [size =\"36789248\"]\n  9 -> 29 [size =\"36789248\"]\n  9 -> 29 [size =\"36789248\"]\n  10 [size=\"49231360\", alpha=\"0.17\", expect_size=\"19692544\"] \n  10 -> 26 [size =\"19692544\"]\n  10 -> 27 [size =\"19692544\"]\n  10 -> 29 [size =\"19692544\"]\n  10 -> 29 [size =\"19692544\"]\n  10 -> 30 [size =\"19692544\"]\n  11 [size=\"107061760\", alpha=\"0.05\", expect_size=\"42824704\"] \n  11 -> 29 [size =\"42824704\"]\n  11 -> 30 [size =\"42824704\"]\n  12 [size=\"117245440\", alpha=\"0.01\", expect_size=\"46898176\"] \n  12 -> 28 [size =\"46898176\"]\n  12 -> 29 [size =\"46898176\"]\n  12 -> 30 [size =\"46898176\"]\n  13 [size=\"113758720\", alpha=\"0.10\", expect_size=\"45503488\"] \n  13 -> 28 [size =\"45503488\"]\n  13 -> 29 [size =\"45503488\"]\n  13 -> 30 [size =\"45503488\"]\n  14 [size=\"84021760\", alpha=\"0.19\", expect_size=\"33608704\"] \n  14 -> 29 [size =\"33608704\"]\n  14 -> 30 [size =\"33608704\"]\n  15 [size=\"123384320\", alpha=\"0.07\", expect_size=\"49353728\"] \n  15 -> 23 [size =\"49353728\"]\n  16 [size=\"99335680\", alpha=\"0.11\", expect_size=\"39734272\"] \n  16 -> 25 [size =\"39734272\"]\n  16 -> 26 [size =\"39734272\"]\n  17 [size=\"53148160\", alpha=\"0.10\", expect_size=\"21259264\"] \n  17 -> 24 [size =\"21259264\"]\n  17 -> 30 [size =\"21259264\"]\n  18 [size=\"61386240\", alpha=\"0.11\", expect_size=\"24554496\"] \n  18 -> 29 [size =\"24554496\"]\n  18 -> 30 [size =\"24554496\"]\n  19 [size=\"26012160\", alpha=\"0.15\", expect_size=\"10404864\"] \n  19 -> 28 [size =\"10404864\"]\n  19 -> 30 [size =\"10404864\"]\n  20 [size=\"67284480\", alpha=\"0.11\", expect_size=\"26913792\"] \n  20 -> 30 [size =\"26913792\"]\n  20 -> 30 [size =\"26913792\"]\n  21 [size=\"47836160\", alpha=\"0.01\", expect_size=\"19134464\"] \n  22 [size=\"78466560\", alpha=\"0.11\", expect_size=\"31386624\"] \n  23 [size=\"84439040\", alpha=\"0.09\", expect_size=\"33775616\"] \n  24 [size=\"26137600\", alpha=\"0.07\", expect_size=\"10455040\"] \n  25 [size=\"19217920\", alpha=\"0.07\", expect_size=\"7687168\"] \n  26 [size=\"60203520\", alpha=\"0.03\", expect_size=\"24081408\"] \n  27 [size=\"127869440\", alpha=\"0.00\", expect_size=\"51147776\"] \n  28 [size=\"67699200\", alpha=\"0.13\", expect_size=\"27079680\"] \n  29 [size=\"16335360\", alpha=\"0.19\", expect_size=\"6534144\"] \n  30 [size=\"107105280\", alpha=\"0.11\", expect_size=\"42842112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143616000\", alpha=\"0.09\", expect_size=\"43084800\"] \n  1 -> 23 [size =\"43084800\"]\n  1 -> 26 [size =\"43084800\"]\n  2 [size=\"88282453\", alpha=\"0.01\", expect_size=\"26484736\"] \n  2 -> 20 [size =\"26484736\"]\n  2 -> 23 [size =\"26484736\"]\n  2 -> 24 [size =\"26484736\"]\n  2 -> 25 [size =\"26484736\"]\n  2 -> 26 [size =\"26484736\"]\n  2 -> 27 [size =\"26484736\"]\n  3 [size=\"23289173\", alpha=\"0.15\", expect_size=\"6986752\"] \n  3 -> 16 [size =\"6986752\"]\n  3 -> 20 [size =\"6986752\"]\n  3 -> 25 [size =\"6986752\"]\n  3 -> 28 [size =\"6986752\"]\n  4 [size=\"142237013\", alpha=\"0.19\", expect_size=\"42671104\"] \n  4 -> 23 [size =\"42671104\"]\n  4 -> 29 [size =\"42671104\"]\n  5 [size=\"28962133\", alpha=\"0.03\", expect_size=\"8688640\"] \n  5 -> 16 [size =\"8688640\"]\n  5 -> 18 [size =\"8688640\"]\n  5 -> 22 [size =\"8688640\"]\n  5 -> 25 [size =\"8688640\"]\n  6 [size=\"148087467\", alpha=\"0.19\", expect_size=\"44426240\"] \n  6 -> 18 [size =\"44426240\"]\n  6 -> 25 [size =\"44426240\"]\n  6 -> 26 [size =\"44426240\"]\n  7 [size=\"47346347\", alpha=\"0.09\", expect_size=\"14203904\"] \n  7 -> 15 [size =\"14203904\"]\n  7 -> 20 [size =\"14203904\"]\n  7 -> 22 [size =\"14203904\"]\n  7 -> 23 [size =\"14203904\"]\n  7 -> 24 [size =\"14203904\"]\n  7 -> 29 [size =\"14203904\"]\n  8 [size=\"99420160\", alpha=\"0.13\", expect_size=\"29826048\"] \n  8 -> 15 [size =\"29826048\"]\n  8 -> 20 [size =\"29826048\"]\n  9 [size=\"29870080\", alpha=\"0.11\", expect_size=\"8961024\"] \n  9 -> 20 [size =\"8961024\"]\n  9 -> 24 [size =\"8961024\"]\n  9 -> 26 [size =\"8961024\"]\n  10 [size=\"162665813\", alpha=\"0.15\", expect_size=\"48799744\"] \n  10 -> 18 [size =\"48799744\"]\n  10 -> 21 [size =\"48799744\"]\n  10 -> 25 [size =\"48799744\"]\n  10 -> 30 [size =\"48799744\"]\n  11 [size=\"133502293\", alpha=\"0.06\", expect_size=\"40050688\"] \n  11 -> 15 [size =\"40050688\"]\n  11 -> 17 [size =\"40050688\"]\n  11 -> 24 [size =\"40050688\"]\n  11 -> 28 [size =\"40050688\"]\n  12 [size=\"47363413\", alpha=\"0.16\", expect_size=\"14209024\"] \n  12 -> 15 [size =\"14209024\"]\n  12 -> 19 [size =\"14209024\"]\n  12 -> 24 [size =\"14209024\"]\n  13 [size=\"56507733\", alpha=\"0.18\", expect_size=\"16952320\"] \n  13 -> 15 [size =\"16952320\"]\n  13 -> 19 [size =\"16952320\"]\n  13 -> 24 [size =\"16952320\"]\n  14 [size=\"19408213\", alpha=\"0.13\", expect_size=\"5822464\"] \n  14 -> 15 [size =\"5822464\"]\n  14 -> 21 [size =\"5822464\"]\n  14 -> 22 [size =\"5822464\"]\n  14 -> 25 [size =\"5822464\"]\n  15 [size=\"166328320\", alpha=\"0.20\", expect_size=\"49898496\"] \n  16 [size=\"33532587\", alpha=\"0.12\", expect_size=\"10059776\"] \n  17 [size=\"22196907\", alpha=\"0.12\", expect_size=\"6659072\"] \n  18 [size=\"96208213\", alpha=\"0.13\", expect_size=\"28862464\"] \n  19 [size=\"41625600\", alpha=\"0.14\", expect_size=\"12487680\"] \n  20 [size=\"124685653\", alpha=\"0.15\", expect_size=\"37405696\"] \n  21 [size=\"82018987\", alpha=\"0.11\", expect_size=\"24605696\"] \n  22 [size=\"127914667\", alpha=\"0.16\", expect_size=\"38374400\"] \n  23 [size=\"96877227\", alpha=\"0.02\", expect_size=\"29063168\"] \n  24 [size=\"85019307\", alpha=\"0.04\", expect_size=\"25505792\"] \n  25 [size=\"31474347\", alpha=\"0.07\", expect_size=\"9442304\"] \n  26 [size=\"28484267\", alpha=\"0.07\", expect_size=\"8545280\"] \n  27 [size=\"121094827\", alpha=\"0.10\", expect_size=\"36328448\"] \n  28 [size=\"59392000\", alpha=\"0.04\", expect_size=\"17817600\"] \n  29 [size=\"159167147\", alpha=\"0.20\", expect_size=\"47750144\"] \n  30 [size=\"115350187\", alpha=\"0.14\", expect_size=\"34605056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88186880\", alpha=\"0.16\", expect_size=\"35274752\"] \n  1 -> 3 [size =\"35274752\"]\n  2 [size=\"130749440\", alpha=\"0.00\", expect_size=\"52299776\"] \n  2 -> 3 [size =\"52299776\"]\n  3 [size=\"130165760\", alpha=\"0.01\", expect_size=\"52066304\"] \n  3 -> 4 [size =\"52066304\"]\n  3 -> 5 [size =\"52066304\"]\n  4 [size=\"43279360\", alpha=\"0.04\", expect_size=\"17311744\"] \n  4 -> 6 [size =\"17311744\"]\n  5 [size=\"32814080\", alpha=\"0.01\", expect_size=\"13125632\"] \n  5 -> 6 [size =\"13125632\"]\n  6 [size=\"20613120\", alpha=\"0.04\", expect_size=\"8245248\"] \n  6 -> 7 [size =\"8245248\"]\n  6 -> 8 [size =\"8245248\"]\n  7 [size=\"38730240\", alpha=\"0.09\", expect_size=\"15492096\"] \n  7 -> 9 [size =\"15492096\"]\n  8 [size=\"112294400\", alpha=\"0.10\", expect_size=\"44917760\"] \n  8 -> 10 [size =\"44917760\"]\n  9 [size=\"119838720\", alpha=\"0.11\", expect_size=\"47935488\"] \n  9 -> 11 [size =\"47935488\"]\n  10 [size=\"104256000\", alpha=\"0.06\", expect_size=\"41702400\"] \n  10 -> 12 [size =\"41702400\"]\n  11 [size=\"85967360\", alpha=\"0.13\", expect_size=\"34386944\"] \n  11 -> 13 [size =\"34386944\"]\n  12 [size=\"59438080\", alpha=\"0.06\", expect_size=\"23775232\"] \n  12 -> 13 [size =\"23775232\"]\n  13 [size=\"60843520\", alpha=\"0.00\", expect_size=\"24337408\"] \n  13 -> 14 [size =\"24337408\"]\n  14 [size=\"68654080\", alpha=\"0.13\", expect_size=\"27461632\"] \n  14 -> 15 [size =\"27461632\"]\n  15 [size=\"93314560\", alpha=\"0.10\", expect_size=\"37325824\"] \n  15 -> 16 [size =\"37325824\"]\n  16 [size=\"97054720\", alpha=\"0.01\", expect_size=\"38821888\"] \n  16 -> 17 [size =\"38821888\"]\n  16 -> 18 [size =\"38821888\"]\n  17 [size=\"118574080\", alpha=\"0.19\", expect_size=\"47429632\"] \n  17 -> 19 [size =\"47429632\"]\n  18 [size=\"55859200\", alpha=\"0.17\", expect_size=\"22343680\"] \n  19 [size=\"115929600\", alpha=\"0.00\", expect_size=\"46371840\"] \n  19 -> 20 [size =\"46371840\"]\n  20 [size=\"60700160\", alpha=\"0.04\", expect_size=\"24280064\"] \n  20 -> 21 [size =\"24280064\"]\n  21 [size=\"94640640\", alpha=\"0.20\", expect_size=\"37856256\"] \n  21 -> 22 [size =\"37856256\"]\n  22 [size=\"55585280\", alpha=\"0.16\", expect_size=\"22234112\"] \n  22 -> 23 [size =\"22234112\"]\n  23 [size=\"89382400\", alpha=\"0.12\", expect_size=\"35752960\"] \n  23 -> 24 [size =\"35752960\"]\n  23 -> 25 [size =\"35752960\"]\n  24 [size=\"90193920\", alpha=\"0.12\", expect_size=\"36077568\"] \n  24 -> 26 [size =\"36077568\"]\n  25 [size=\"48450560\", alpha=\"0.17\", expect_size=\"19380224\"] \n  25 -> 26 [size =\"19380224\"]\n  26 [size=\"106334720\", alpha=\"0.02\", expect_size=\"42533888\"] \n  26 -> 27 [size =\"42533888\"]\n  26 -> 28 [size =\"42533888\"]\n  27 [size=\"114680320\", alpha=\"0.12\", expect_size=\"45872128\"] \n  27 -> 29 [size =\"45872128\"]\n  28 [size=\"108239360\", alpha=\"0.19\", expect_size=\"43295744\"] \n  28 -> 30 [size =\"43295744\"]\n  29 [size=\"91955200\", alpha=\"0.04\", expect_size=\"36782080\"] \n  30 [size=\"94871040\", alpha=\"0.04\", expect_size=\"37948416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171581440\", alpha=\"0.06\", expect_size=\"51474432\"] \n  1 -> 2 [size =\"51474432\"]\n  1 -> 3 [size =\"51474432\"]\n  2 [size=\"18356907\", alpha=\"0.01\", expect_size=\"5507072\"] \n  3 [size=\"83148800\", alpha=\"0.08\", expect_size=\"24944640\"] \n  3 -> 4 [size =\"24944640\"]\n  4 [size=\"45387093\", alpha=\"0.10\", expect_size=\"13616128\"] \n  4 -> 5 [size =\"13616128\"]\n  4 -> 6 [size =\"13616128\"]\n  5 [size=\"40028160\", alpha=\"0.07\", expect_size=\"12008448\"] \n  5 -> 7 [size =\"12008448\"]\n  6 [size=\"69461333\", alpha=\"0.06\", expect_size=\"20838400\"] \n  7 [size=\"28020053\", alpha=\"0.16\", expect_size=\"8406016\"] \n  7 -> 8 [size =\"8406016\"]\n  7 -> 9 [size =\"8406016\"]\n  8 [size=\"153818453\", alpha=\"0.02\", expect_size=\"46145536\"] \n  8 -> 10 [size =\"46145536\"]\n  8 -> 11 [size =\"46145536\"]\n  9 [size=\"96945493\", alpha=\"0.06\", expect_size=\"29083648\"] \n  10 [size=\"156514987\", alpha=\"0.13\", expect_size=\"46954496\"] \n  10 -> 13 [size =\"46954496\"]\n  11 [size=\"167710720\", alpha=\"0.18\", expect_size=\"50313216\"] \n  11 -> 12 [size =\"50313216\"]\n  12 [size=\"53968213\", alpha=\"0.07\", expect_size=\"16190464\"] \n  13 [size=\"64078507\", alpha=\"0.14\", expect_size=\"19223552\"] \n  13 -> 14 [size =\"19223552\"]\n  13 -> 15 [size =\"19223552\"]\n  14 [size=\"125610667\", alpha=\"0.03\", expect_size=\"37683200\"] \n  14 -> 16 [size =\"37683200\"]\n  15 [size=\"50749440\", alpha=\"0.13\", expect_size=\"15224832\"] \n  16 [size=\"108335787\", alpha=\"0.19\", expect_size=\"32500736\"] \n  16 -> 17 [size =\"32500736\"]\n  16 -> 18 [size =\"32500736\"]\n  17 [size=\"158597120\", alpha=\"0.01\", expect_size=\"47579136\"] \n  18 [size=\"123764053\", alpha=\"0.11\", expect_size=\"37129216\"] \n  18 -> 19 [size =\"37129216\"]\n  19 [size=\"142182400\", alpha=\"0.13\", expect_size=\"42654720\"] \n  19 -> 20 [size =\"42654720\"]\n  20 [size=\"28218027\", alpha=\"0.11\", expect_size=\"8465408\"] \n  20 -> 21 [size =\"8465408\"]\n  20 -> 22 [size =\"8465408\"]\n  21 [size=\"131198293\", alpha=\"0.10\", expect_size=\"39359488\"] \n  21 -> 24 [size =\"39359488\"]\n  22 [size=\"113810773\", alpha=\"0.09\", expect_size=\"34143232\"] \n  22 -> 23 [size =\"34143232\"]\n  23 [size=\"166304427\", alpha=\"0.16\", expect_size=\"49891328\"] \n  24 [size=\"119497387\", alpha=\"0.06\", expect_size=\"35849216\"] \n  24 -> 25 [size =\"35849216\"]\n  25 [size=\"146657280\", alpha=\"0.20\", expect_size=\"43997184\"] \n  25 -> 26 [size =\"43997184\"]\n  26 [size=\"92542293\", alpha=\"0.20\", expect_size=\"27762688\"] \n  26 -> 27 [size =\"27762688\"]\n  26 -> 28 [size =\"27762688\"]\n  27 [size=\"88326827\", alpha=\"0.01\", expect_size=\"26498048\"] \n  28 [size=\"96184320\", alpha=\"0.20\", expect_size=\"28855296\"] \n  28 -> 29 [size =\"28855296\"]\n  29 [size=\"28258987\", alpha=\"0.08\", expect_size=\"8477696\"] \n  29 -> 30 [size =\"8477696\"]\n  30 [size=\"126788267\", alpha=\"0.15\", expect_size=\"38036480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36106240\", alpha=\"0.11\", expect_size=\"10831872\"] \n  2 [size=\"60859733\", alpha=\"0.17\", expect_size=\"18257920\"] \n  2 -> 29 [size =\"18257920\"]\n  2 -> 30 [size =\"18257920\"]\n  3 [size=\"75796480\", alpha=\"0.06\", expect_size=\"22738944\"] \n  4 [size=\"137912320\", alpha=\"0.15\", expect_size=\"41373696\"] \n  5 [size=\"99904853\", alpha=\"0.05\", expect_size=\"29971456\"] \n  5 -> 29 [size =\"29971456\"]\n  6 [size=\"83189760\", alpha=\"0.18\", expect_size=\"24956928\"] \n  7 [size=\"37345280\", alpha=\"0.04\", expect_size=\"11203584\"] \n  8 [size=\"135526400\", alpha=\"0.01\", expect_size=\"40657920\"] \n  9 [size=\"71099733\", alpha=\"0.02\", expect_size=\"21329920\"] \n  10 [size=\"66321067\", alpha=\"0.19\", expect_size=\"19896320\"] \n  11 [size=\"112581973\", alpha=\"0.19\", expect_size=\"33774592\"] \n  12 [size=\"43035307\", alpha=\"0.12\", expect_size=\"12910592\"] \n  13 [size=\"173571413\", alpha=\"0.05\", expect_size=\"52071424\"] \n  14 [size=\"67082240\", alpha=\"0.18\", expect_size=\"20124672\"] \n  15 [size=\"27327147\", alpha=\"0.09\", expect_size=\"8198144\"] \n  15 -> 30 [size =\"8198144\"]\n  16 [size=\"66409813\", alpha=\"0.15\", expect_size=\"19922944\"] \n  17 [size=\"51128320\", alpha=\"0.02\", expect_size=\"15338496\"] \n  18 [size=\"81356800\", alpha=\"0.10\", expect_size=\"24407040\"] \n  18 -> 29 [size =\"24407040\"]\n  19 [size=\"86797653\", alpha=\"0.05\", expect_size=\"26039296\"] \n  20 [size=\"100976640\", alpha=\"0.19\", expect_size=\"30292992\"] \n  21 [size=\"91883520\", alpha=\"0.16\", expect_size=\"27565056\"] \n  22 [size=\"80435200\", alpha=\"0.18\", expect_size=\"24130560\"] \n  23 [size=\"18418347\", alpha=\"0.07\", expect_size=\"5525504\"] \n  23 -> 29 [size =\"5525504\"]\n  24 [size=\"55753387\", alpha=\"0.12\", expect_size=\"16726016\"] \n  25 [size=\"37215573\", alpha=\"0.07\", expect_size=\"11164672\"] \n  26 [size=\"110141440\", alpha=\"0.11\", expect_size=\"33042432\"] \n  26 -> 29 [size =\"33042432\"]\n  26 -> 30 [size =\"33042432\"]\n  27 [size=\"68235947\", alpha=\"0.17\", expect_size=\"20470784\"] \n  28 [size=\"81032533\", alpha=\"0.18\", expect_size=\"24309760\"] \n  28 -> 29 [size =\"24309760\"]\n  29 [size=\"158044160\", alpha=\"0.06\", expect_size=\"47413248\"] \n  30 [size=\"40768853\", alpha=\"0.00\", expect_size=\"12230656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39909376\", alpha=\"0.15\", expect_size=\"19954688\"] \n  1 -> 24 [size =\"19954688\"]\n  1 -> 28 [size =\"19954688\"]\n  1 -> 29 [size =\"19954688\"]\n  1 -> 30 [size =\"19954688\"]\n  2 [size=\"51191808\", alpha=\"0.18\", expect_size=\"25595904\"] \n  2 -> 23 [size =\"25595904\"]\n  2 -> 26 [size =\"25595904\"]\n  2 -> 28 [size =\"25595904\"]\n  2 -> 29 [size =\"25595904\"]\n  3 [size=\"98637824\", alpha=\"0.09\", expect_size=\"49318912\"] \n  3 -> 21 [size =\"49318912\"]\n  3 -> 25 [size =\"49318912\"]\n  3 -> 26 [size =\"49318912\"]\n  3 -> 27 [size =\"49318912\"]\n  3 -> 29 [size =\"49318912\"]\n  3 -> 30 [size =\"49318912\"]\n  4 [size=\"25444352\", alpha=\"0.02\", expect_size=\"12722176\"] \n  4 -> 21 [size =\"12722176\"]\n  4 -> 22 [size =\"12722176\"]\n  4 -> 28 [size =\"12722176\"]\n  4 -> 29 [size =\"12722176\"]\n  4 -> 30 [size =\"12722176\"]\n  4 -> 30 [size =\"12722176\"]\n  5 [size=\"22691840\", alpha=\"0.12\", expect_size=\"11345920\"] \n  5 -> 21 [size =\"11345920\"]\n  5 -> 22 [size =\"11345920\"]\n  5 -> 25 [size =\"11345920\"]\n  5 -> 30 [size =\"11345920\"]\n  5 -> 30 [size =\"11345920\"]\n  6 [size=\"51329024\", alpha=\"0.17\", expect_size=\"25664512\"] \n  6 -> 25 [size =\"25664512\"]\n  6 -> 26 [size =\"25664512\"]\n  7 [size=\"102457344\", alpha=\"0.10\", expect_size=\"51228672\"] \n  8 [size=\"67252224\", alpha=\"0.10\", expect_size=\"33626112\"] \n  8 -> 21 [size =\"33626112\"]\n  8 -> 22 [size =\"33626112\"]\n  8 -> 26 [size =\"33626112\"]\n  8 -> 28 [size =\"33626112\"]\n  9 [size=\"93595648\", alpha=\"0.10\", expect_size=\"46797824\"] \n  9 -> 21 [size =\"46797824\"]\n  9 -> 22 [size =\"46797824\"]\n  9 -> 28 [size =\"46797824\"]\n  10 [size=\"31387648\", alpha=\"0.00\", expect_size=\"15693824\"] \n  10 -> 21 [size =\"15693824\"]\n  10 -> 22 [size =\"15693824\"]\n  11 [size=\"82636800\", alpha=\"0.06\", expect_size=\"41318400\"] \n  11 -> 21 [size =\"41318400\"]\n  11 -> 22 [size =\"41318400\"]\n  11 -> 24 [size =\"41318400\"]\n  11 -> 29 [size =\"41318400\"]\n  12 [size=\"59736064\", alpha=\"0.16\", expect_size=\"29868032\"] \n  12 -> 22 [size =\"29868032\"]\n  12 -> 23 [size =\"29868032\"]\n  12 -> 24 [size =\"29868032\"]\n  12 -> 28 [size =\"29868032\"]\n  12 -> 29 [size =\"29868032\"]\n  13 [size=\"51318784\", alpha=\"0.07\", expect_size=\"25659392\"] \n  13 -> 24 [size =\"25659392\"]\n  13 -> 25 [size =\"25659392\"]\n  13 -> 26 [size =\"25659392\"]\n  13 -> 28 [size =\"25659392\"]\n  13 -> 29 [size =\"25659392\"]\n  14 [size=\"91852800\", alpha=\"0.07\", expect_size=\"45926400\"] \n  14 -> 21 [size =\"45926400\"]\n  14 -> 23 [size =\"45926400\"]\n  14 -> 24 [size =\"45926400\"]\n  14 -> 25 [size =\"45926400\"]\n  14 -> 26 [size =\"45926400\"]\n  14 -> 29 [size =\"45926400\"]\n  14 -> 30 [size =\"45926400\"]\n  15 [size=\"100888576\", alpha=\"0.20\", expect_size=\"50444288\"] \n  15 -> 21 [size =\"50444288\"]\n  15 -> 23 [size =\"50444288\"]\n  15 -> 29 [size =\"50444288\"]\n  15 -> 30 [size =\"50444288\"]\n  16 [size=\"62676992\", alpha=\"0.03\", expect_size=\"31338496\"] \n  16 -> 21 [size =\"31338496\"]\n  16 -> 23 [size =\"31338496\"]\n  16 -> 27 [size =\"31338496\"]\n  16 -> 29 [size =\"31338496\"]\n  16 -> 30 [size =\"31338496\"]\n  17 [size=\"47044608\", alpha=\"0.19\", expect_size=\"23522304\"] \n  17 -> 21 [size =\"23522304\"]\n  17 -> 27 [size =\"23522304\"]\n  17 -> 29 [size =\"23522304\"]\n  18 [size=\"93978624\", alpha=\"0.20\", expect_size=\"46989312\"] \n  18 -> 21 [size =\"46989312\"]\n  18 -> 24 [size =\"46989312\"]\n  18 -> 28 [size =\"46989312\"]\n  18 -> 30 [size =\"46989312\"]\n  19 [size=\"46202880\", alpha=\"0.05\", expect_size=\"23101440\"] \n  19 -> 21 [size =\"23101440\"]\n  19 -> 22 [size =\"23101440\"]\n  19 -> 28 [size =\"23101440\"]\n  19 -> 30 [size =\"23101440\"]\n  20 [size=\"95250432\", alpha=\"0.10\", expect_size=\"47625216\"] \n  20 -> 28 [size =\"47625216\"]\n  20 -> 29 [size =\"47625216\"]\n  20 -> 30 [size =\"47625216\"]\n  21 [size=\"95330304\", alpha=\"0.02\", expect_size=\"47665152\"] \n  22 [size=\"29784064\", alpha=\"0.03\", expect_size=\"14892032\"] \n  23 [size=\"12736512\", alpha=\"0.02\", expect_size=\"6368256\"] \n  24 [size=\"45613056\", alpha=\"0.05\", expect_size=\"22806528\"] \n  25 [size=\"78168064\", alpha=\"0.10\", expect_size=\"39084032\"] \n  26 [size=\"76673024\", alpha=\"0.04\", expect_size=\"38336512\"] \n  27 [size=\"91488256\", alpha=\"0.17\", expect_size=\"45744128\"] \n  28 [size=\"85504000\", alpha=\"0.02\", expect_size=\"42752000\"] \n  29 [size=\"84068352\", alpha=\"0.05\", expect_size=\"42034176\"] \n  30 [size=\"11567104\", alpha=\"0.13\", expect_size=\"5783552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171117227\", alpha=\"0.07\", expect_size=\"51335168\"] \n  1 -> 6 [size =\"51335168\"]\n  1 -> 7 [size =\"51335168\"]\n  1 -> 8 [size =\"51335168\"]\n  2 [size=\"109257387\", alpha=\"0.07\", expect_size=\"32777216\"] \n  2 -> 6 [size =\"32777216\"]\n  2 -> 7 [size =\"32777216\"]\n  2 -> 8 [size =\"32777216\"]\n  3 [size=\"17479680\", alpha=\"0.02\", expect_size=\"5243904\"] \n  3 -> 6 [size =\"5243904\"]\n  3 -> 7 [size =\"5243904\"]\n  4 [size=\"86295893\", alpha=\"0.04\", expect_size=\"25888768\"] \n  4 -> 6 [size =\"25888768\"]\n  4 -> 8 [size =\"25888768\"]\n  5 [size=\"137076053\", alpha=\"0.12\", expect_size=\"41122816\"] \n  5 -> 6 [size =\"41122816\"]\n  5 -> 8 [size =\"41122816\"]\n  6 [size=\"171591680\", alpha=\"0.20\", expect_size=\"51477504\"] \n  6 -> 9 [size =\"51477504\"]\n  6 -> 10 [size =\"51477504\"]\n  7 [size=\"134615040\", alpha=\"0.15\", expect_size=\"40384512\"] \n  7 -> 10 [size =\"40384512\"]\n  7 -> 11 [size =\"40384512\"]\n  8 [size=\"162048000\", alpha=\"0.06\", expect_size=\"48614400\"] \n  8 -> 9 [size =\"48614400\"]\n  8 -> 10 [size =\"48614400\"]\n  8 -> 11 [size =\"48614400\"]\n  9 [size=\"23040000\", alpha=\"0.19\", expect_size=\"6912000\"] \n  9 -> 12 [size =\"6912000\"]\n  9 -> 13 [size =\"6912000\"]\n  9 -> 14 [size =\"6912000\"]\n  9 -> 16 [size =\"6912000\"]\n  10 [size=\"89262080\", alpha=\"0.07\", expect_size=\"26778624\"] \n  10 -> 16 [size =\"26778624\"]\n  11 [size=\"75755520\", alpha=\"0.03\", expect_size=\"22726656\"] \n  11 -> 12 [size =\"22726656\"]\n  11 -> 13 [size =\"22726656\"]\n  11 -> 14 [size =\"22726656\"]\n  11 -> 15 [size =\"22726656\"]\n  11 -> 16 [size =\"22726656\"]\n  12 [size=\"128436907\", alpha=\"0.01\", expect_size=\"38531072\"] \n  12 -> 18 [size =\"38531072\"]\n  13 [size=\"25016320\", alpha=\"0.01\", expect_size=\"7504896\"] \n  13 -> 18 [size =\"7504896\"]\n  13 -> 19 [size =\"7504896\"]\n  13 -> 20 [size =\"7504896\"]\n  14 [size=\"41028267\", alpha=\"0.04\", expect_size=\"12308480\"] \n  14 -> 17 [size =\"12308480\"]\n  14 -> 18 [size =\"12308480\"]\n  14 -> 19 [size =\"12308480\"]\n  14 -> 20 [size =\"12308480\"]\n  15 [size=\"74813440\", alpha=\"0.13\", expect_size=\"22444032\"] \n  15 -> 18 [size =\"22444032\"]\n  15 -> 19 [size =\"22444032\"]\n  15 -> 20 [size =\"22444032\"]\n  16 [size=\"166659413\", alpha=\"0.10\", expect_size=\"49997824\"] \n  16 -> 18 [size =\"49997824\"]\n  16 -> 19 [size =\"49997824\"]\n  16 -> 20 [size =\"49997824\"]\n  17 [size=\"163007147\", alpha=\"0.13\", expect_size=\"48902144\"] \n  17 -> 21 [size =\"48902144\"]\n  17 -> 22 [size =\"48902144\"]\n  18 [size=\"124596907\", alpha=\"0.12\", expect_size=\"37379072\"] \n  18 -> 21 [size =\"37379072\"]\n  19 [size=\"17803947\", alpha=\"0.14\", expect_size=\"5341184\"] \n  20 [size=\"165980160\", alpha=\"0.01\", expect_size=\"49794048\"] \n  20 -> 21 [size =\"49794048\"]\n  20 -> 22 [size =\"49794048\"]\n  20 -> 23 [size =\"49794048\"]\n  21 [size=\"61812053\", alpha=\"0.08\", expect_size=\"18543616\"] \n  21 -> 25 [size =\"18543616\"]\n  21 -> 27 [size =\"18543616\"]\n  22 [size=\"82718720\", alpha=\"0.06\", expect_size=\"24815616\"] \n  22 -> 26 [size =\"24815616\"]\n  22 -> 27 [size =\"24815616\"]\n  23 [size=\"94296747\", alpha=\"0.05\", expect_size=\"28289024\"] \n  23 -> 24 [size =\"28289024\"]\n  23 -> 25 [size =\"28289024\"]\n  23 -> 26 [size =\"28289024\"]\n  24 [size=\"104751787\", alpha=\"0.12\", expect_size=\"31425536\"] \n  24 -> 28 [size =\"31425536\"]\n  25 [size=\"138352640\", alpha=\"0.14\", expect_size=\"41505792\"] \n  25 -> 28 [size =\"41505792\"]\n  25 -> 30 [size =\"41505792\"]\n  26 [size=\"84725760\", alpha=\"0.16\", expect_size=\"25417728\"] \n  26 -> 29 [size =\"25417728\"]\n  26 -> 30 [size =\"25417728\"]\n  27 [size=\"165550080\", alpha=\"0.13\", expect_size=\"49665024\"] \n  27 -> 28 [size =\"49665024\"]\n  28 [size=\"111237120\", alpha=\"0.08\", expect_size=\"33371136\"] \n  29 [size=\"44636160\", alpha=\"0.04\", expect_size=\"13390848\"] \n  30 [size=\"157699413\", alpha=\"0.09\", expect_size=\"47309824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33776640\", alpha=\"0.10\", expect_size=\"13510656\"] \n  1 -> 2 [size =\"13510656\"]\n  2 [size=\"13744640\", alpha=\"0.16\", expect_size=\"5497856\"] \n  2 -> 3 [size =\"5497856\"]\n  3 [size=\"91658240\", alpha=\"0.06\", expect_size=\"36663296\"] \n  3 -> 4 [size =\"36663296\"]\n  4 [size=\"102784000\", alpha=\"0.03\", expect_size=\"41113600\"] \n  4 -> 5 [size =\"41113600\"]\n  5 [size=\"92764160\", alpha=\"0.03\", expect_size=\"37105664\"] \n  5 -> 6 [size =\"37105664\"]\n  6 [size=\"91868160\", alpha=\"0.02\", expect_size=\"36747264\"] \n  6 -> 7 [size =\"36747264\"]\n  7 [size=\"30167040\", alpha=\"0.13\", expect_size=\"12066816\"] \n  7 -> 8 [size =\"12066816\"]\n  8 [size=\"20485120\", alpha=\"0.03\", expect_size=\"8194048\"] \n  8 -> 9 [size =\"8194048\"]\n  9 [size=\"107438080\", alpha=\"0.12\", expect_size=\"42975232\"] \n  9 -> 10 [size =\"42975232\"]\n  10 [size=\"128898560\", alpha=\"0.11\", expect_size=\"51559424\"] \n  10 -> 11 [size =\"51559424\"]\n  11 [size=\"77872640\", alpha=\"0.16\", expect_size=\"31149056\"] \n  11 -> 12 [size =\"31149056\"]\n  12 [size=\"20451840\", alpha=\"0.06\", expect_size=\"8180736\"] \n  12 -> 13 [size =\"8180736\"]\n  13 [size=\"115560960\", alpha=\"0.08\", expect_size=\"46224384\"] \n  13 -> 14 [size =\"46224384\"]\n  14 [size=\"34757120\", alpha=\"0.00\", expect_size=\"13902848\"] \n  14 -> 15 [size =\"13902848\"]\n  15 [size=\"55303680\", alpha=\"0.07\", expect_size=\"22121472\"] \n  15 -> 16 [size =\"22121472\"]\n  16 [size=\"70205440\", alpha=\"0.12\", expect_size=\"28082176\"] \n  16 -> 17 [size =\"28082176\"]\n  17 [size=\"81822720\", alpha=\"0.09\", expect_size=\"32729088\"] \n  17 -> 18 [size =\"32729088\"]\n  18 [size=\"39992320\", alpha=\"0.16\", expect_size=\"15996928\"] \n  18 -> 19 [size =\"15996928\"]\n  19 [size=\"57077760\", alpha=\"0.10\", expect_size=\"22831104\"] \n  19 -> 20 [size =\"22831104\"]\n  20 [size=\"126906880\", alpha=\"0.15\", expect_size=\"50762752\"] \n  20 -> 21 [size =\"50762752\"]\n  21 [size=\"73431040\", alpha=\"0.03\", expect_size=\"29372416\"] \n  21 -> 22 [size =\"29372416\"]\n  22 [size=\"48194560\", alpha=\"0.12\", expect_size=\"19277824\"] \n  22 -> 23 [size =\"19277824\"]\n  23 [size=\"82396160\", alpha=\"0.14\", expect_size=\"32958464\"] \n  23 -> 24 [size =\"32958464\"]\n  24 [size=\"13437440\", alpha=\"0.11\", expect_size=\"5374976\"] \n  24 -> 25 [size =\"5374976\"]\n  25 [size=\"14671360\", alpha=\"0.02\", expect_size=\"5868544\"] \n  25 -> 26 [size =\"5868544\"]\n  26 [size=\"56527360\", alpha=\"0.06\", expect_size=\"22610944\"] \n  26 -> 27 [size =\"22610944\"]\n  27 [size=\"129530880\", alpha=\"0.13\", expect_size=\"51812352\"] \n  27 -> 28 [size =\"51812352\"]\n  28 [size=\"61798400\", alpha=\"0.01\", expect_size=\"24719360\"] \n  28 -> 29 [size =\"24719360\"]\n  29 [size=\"38003200\", alpha=\"0.05\", expect_size=\"15201280\"] \n  29 -> 30 [size =\"15201280\"]\n  30 [size=\"96867840\", alpha=\"0.09\", expect_size=\"38747136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80390827\", alpha=\"0.02\", expect_size=\"24117248\"] \n  1 -> 16 [size =\"24117248\"]\n  1 -> 19 [size =\"24117248\"]\n  1 -> 22 [size =\"24117248\"]\n  1 -> 26 [size =\"24117248\"]\n  2 [size=\"149268480\", alpha=\"0.14\", expect_size=\"44780544\"] \n  2 -> 25 [size =\"44780544\"]\n  2 -> 26 [size =\"44780544\"]\n  3 [size=\"116838400\", alpha=\"0.15\", expect_size=\"35051520\"] \n  3 -> 19 [size =\"35051520\"]\n  3 -> 21 [size =\"35051520\"]\n  3 -> 24 [size =\"35051520\"]\n  3 -> 25 [size =\"35051520\"]\n  3 -> 26 [size =\"35051520\"]\n  4 [size=\"102918827\", alpha=\"0.09\", expect_size=\"30875648\"] \n  4 -> 19 [size =\"30875648\"]\n  4 -> 21 [size =\"30875648\"]\n  4 -> 23 [size =\"30875648\"]\n  4 -> 26 [size =\"30875648\"]\n  4 -> 26 [size =\"30875648\"]\n  5 [size=\"147729067\", alpha=\"0.20\", expect_size=\"44318720\"] \n  5 -> 19 [size =\"44318720\"]\n  5 -> 21 [size =\"44318720\"]\n  5 -> 22 [size =\"44318720\"]\n  6 [size=\"82944000\", alpha=\"0.11\", expect_size=\"24883200\"] \n  6 -> 17 [size =\"24883200\"]\n  6 -> 18 [size =\"24883200\"]\n  6 -> 19 [size =\"24883200\"]\n  6 -> 20 [size =\"24883200\"]\n  6 -> 21 [size =\"24883200\"]\n  6 -> 25 [size =\"24883200\"]\n  7 [size=\"120941227\", alpha=\"0.09\", expect_size=\"36282368\"] \n  7 -> 16 [size =\"36282368\"]\n  7 -> 18 [size =\"36282368\"]\n  7 -> 19 [size =\"36282368\"]\n  7 -> 21 [size =\"36282368\"]\n  7 -> 22 [size =\"36282368\"]\n  7 -> 25 [size =\"36282368\"]\n  8 [size=\"138222933\", alpha=\"0.12\", expect_size=\"41466880\"] \n  8 -> 19 [size =\"41466880\"]\n  8 -> 21 [size =\"41466880\"]\n  8 -> 23 [size =\"41466880\"]\n  9 [size=\"161566720\", alpha=\"0.03\", expect_size=\"48470016\"] \n  9 -> 15 [size =\"48470016\"]\n  9 -> 21 [size =\"48470016\"]\n  9 -> 23 [size =\"48470016\"]\n  9 -> 25 [size =\"48470016\"]\n  9 -> 26 [size =\"48470016\"]\n  10 [size=\"76892160\", alpha=\"0.19\", expect_size=\"23067648\"] \n  10 -> 15 [size =\"23067648\"]\n  10 -> 16 [size =\"23067648\"]\n  10 -> 21 [size =\"23067648\"]\n  10 -> 26 [size =\"23067648\"]\n  11 [size=\"65716907\", alpha=\"0.12\", expect_size=\"19715072\"] \n  11 -> 21 [size =\"19715072\"]\n  12 [size=\"80551253\", alpha=\"0.04\", expect_size=\"24165376\"] \n  12 -> 18 [size =\"24165376\"]\n  12 -> 21 [size =\"24165376\"]\n  12 -> 26 [size =\"24165376\"]\n  13 [size=\"32733867\", alpha=\"0.01\", expect_size=\"9820160\"] \n  14 [size=\"147206827\", alpha=\"0.02\", expect_size=\"44162048\"] \n  14 -> 16 [size =\"44162048\"]\n  14 -> 26 [size =\"44162048\"]\n  15 [size=\"62668800\", alpha=\"0.08\", expect_size=\"18800640\"] \n  15 -> 28 [size =\"18800640\"]\n  15 -> 30 [size =\"18800640\"]\n  16 [size=\"61098667\", alpha=\"0.16\", expect_size=\"18329600\"] \n  16 -> 27 [size =\"18329600\"]\n  16 -> 28 [size =\"18329600\"]\n  16 -> 29 [size =\"18329600\"]\n  17 [size=\"146732373\", alpha=\"0.03\", expect_size=\"44019712\"] \n  17 -> 30 [size =\"44019712\"]\n  18 [size=\"61477547\", alpha=\"0.11\", expect_size=\"18443264\"] \n  18 -> 28 [size =\"18443264\"]\n  18 -> 30 [size =\"18443264\"]\n  19 [size=\"152139093\", alpha=\"0.04\", expect_size=\"45641728\"] \n  19 -> 30 [size =\"45641728\"]\n  19 -> 30 [size =\"45641728\"]\n  20 [size=\"20933973\", alpha=\"0.16\", expect_size=\"6280192\"] \n  20 -> 27 [size =\"6280192\"]\n  21 [size=\"167659520\", alpha=\"0.16\", expect_size=\"50297856\"] \n  21 -> 27 [size =\"50297856\"]\n  22 [size=\"102901760\", alpha=\"0.13\", expect_size=\"30870528\"] \n  22 -> 27 [size =\"30870528\"]\n  22 -> 28 [size =\"30870528\"]\n  22 -> 29 [size =\"30870528\"]\n  23 [size=\"131293867\", alpha=\"0.03\", expect_size=\"39388160\"] \n  23 -> 28 [size =\"39388160\"]\n  23 -> 30 [size =\"39388160\"]\n  24 [size=\"139315200\", alpha=\"0.04\", expect_size=\"41794560\"] \n  24 -> 28 [size =\"41794560\"]\n  24 -> 29 [size =\"41794560\"]\n  24 -> 30 [size =\"41794560\"]\n  25 [size=\"154705920\", alpha=\"0.01\", expect_size=\"46411776\"] \n  25 -> 29 [size =\"46411776\"]\n  25 -> 30 [size =\"46411776\"]\n  26 [size=\"63948800\", alpha=\"0.06\", expect_size=\"19184640\"] \n  26 -> 27 [size =\"19184640\"]\n  26 -> 30 [size =\"19184640\"]\n  27 [size=\"29593600\", alpha=\"0.05\", expect_size=\"8878080\"] \n  28 [size=\"56739840\", alpha=\"0.19\", expect_size=\"17021952\"] \n  29 [size=\"145097387\", alpha=\"0.11\", expect_size=\"43529216\"] \n  30 [size=\"173711360\", alpha=\"0.11\", expect_size=\"52113408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35276800\", alpha=\"0.08\", expect_size=\"10583040\"] \n  1 -> 2 [size =\"10583040\"]\n  2 [size=\"40744960\", alpha=\"0.08\", expect_size=\"12223488\"] \n  2 -> 3 [size =\"12223488\"]\n  3 [size=\"46489600\", alpha=\"0.12\", expect_size=\"13946880\"] \n  3 -> 4 [size =\"13946880\"]\n  4 [size=\"173523627\", alpha=\"0.20\", expect_size=\"52057088\"] \n  4 -> 5 [size =\"52057088\"]\n  5 [size=\"24470187\", alpha=\"0.03\", expect_size=\"7341056\"] \n  5 -> 6 [size =\"7341056\"]\n  6 [size=\"94723413\", alpha=\"0.17\", expect_size=\"28417024\"] \n  6 -> 7 [size =\"28417024\"]\n  7 [size=\"97802240\", alpha=\"0.10\", expect_size=\"29340672\"] \n  7 -> 8 [size =\"29340672\"]\n  8 [size=\"49097387\", alpha=\"0.06\", expect_size=\"14729216\"] \n  8 -> 9 [size =\"14729216\"]\n  9 [size=\"80803840\", alpha=\"0.03\", expect_size=\"24241152\"] \n  9 -> 10 [size =\"24241152\"]\n  10 [size=\"80407893\", alpha=\"0.19\", expect_size=\"24122368\"] \n  10 -> 11 [size =\"24122368\"]\n  11 [size=\"126849707\", alpha=\"0.10\", expect_size=\"38054912\"] \n  11 -> 12 [size =\"38054912\"]\n  12 [size=\"30709760\", alpha=\"0.01\", expect_size=\"9212928\"] \n  12 -> 13 [size =\"9212928\"]\n  13 [size=\"95597227\", alpha=\"0.03\", expect_size=\"28679168\"] \n  13 -> 14 [size =\"28679168\"]\n  14 [size=\"31935147\", alpha=\"0.02\", expect_size=\"9580544\"] \n  14 -> 15 [size =\"9580544\"]\n  15 [size=\"29607253\", alpha=\"0.07\", expect_size=\"8882176\"] \n  15 -> 16 [size =\"8882176\"]\n  16 [size=\"51042987\", alpha=\"0.18\", expect_size=\"15312896\"] \n  16 -> 17 [size =\"15312896\"]\n  17 [size=\"23592960\", alpha=\"0.14\", expect_size=\"7077888\"] \n  17 -> 18 [size =\"7077888\"]\n  18 [size=\"103635627\", alpha=\"0.16\", expect_size=\"31090688\"] \n  18 -> 19 [size =\"31090688\"]\n  19 [size=\"151920640\", alpha=\"0.03\", expect_size=\"45576192\"] \n  19 -> 20 [size =\"45576192\"]\n  20 [size=\"19264853\", alpha=\"0.15\", expect_size=\"5779456\"] \n  20 -> 21 [size =\"5779456\"]\n  21 [size=\"170905600\", alpha=\"0.10\", expect_size=\"51271680\"] \n  21 -> 22 [size =\"51271680\"]\n  22 [size=\"90132480\", alpha=\"0.08\", expect_size=\"27039744\"] \n  22 -> 23 [size =\"27039744\"]\n  23 [size=\"97935360\", alpha=\"0.10\", expect_size=\"29380608\"] \n  23 -> 24 [size =\"29380608\"]\n  24 [size=\"125221547\", alpha=\"0.11\", expect_size=\"37566464\"] \n  24 -> 25 [size =\"37566464\"]\n  25 [size=\"140844373\", alpha=\"0.14\", expect_size=\"42253312\"] \n  25 -> 26 [size =\"42253312\"]\n  26 [size=\"42079573\", alpha=\"0.06\", expect_size=\"12623872\"] \n  26 -> 27 [size =\"12623872\"]\n  27 [size=\"25340587\", alpha=\"0.08\", expect_size=\"7602176\"] \n  27 -> 28 [size =\"7602176\"]\n  28 [size=\"138485760\", alpha=\"0.14\", expect_size=\"41545728\"] \n  28 -> 29 [size =\"41545728\"]\n  29 [size=\"109141333\", alpha=\"0.09\", expect_size=\"32742400\"] \n  29 -> 30 [size =\"32742400\"]\n  30 [size=\"130665813\", alpha=\"0.11\", expect_size=\"39199744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84278613\", alpha=\"0.14\", expect_size=\"25283584\"] \n  2 [size=\"158682453\", alpha=\"0.06\", expect_size=\"47604736\"] \n  3 [size=\"140090027\", alpha=\"0.10\", expect_size=\"42027008\"] \n  4 [size=\"161662293\", alpha=\"0.13\", expect_size=\"48498688\"] \n  5 [size=\"58941440\", alpha=\"0.04\", expect_size=\"17682432\"] \n  6 [size=\"105987413\", alpha=\"0.14\", expect_size=\"31796224\"] \n  7 [size=\"99095893\", alpha=\"0.18\", expect_size=\"29728768\"] \n  8 [size=\"130307413\", alpha=\"0.14\", expect_size=\"39092224\"] \n  9 [size=\"68413440\", alpha=\"0.14\", expect_size=\"20524032\"] \n  10 [size=\"19138560\", alpha=\"0.17\", expect_size=\"5741568\"] \n  11 [size=\"166089387\", alpha=\"0.10\", expect_size=\"49826816\"] \n  12 [size=\"116432213\", alpha=\"0.10\", expect_size=\"34929664\"] \n  13 [size=\"161512107\", alpha=\"0.08\", expect_size=\"48453632\"] \n  14 [size=\"79093760\", alpha=\"0.16\", expect_size=\"23728128\"] \n  15 [size=\"24876373\", alpha=\"0.05\", expect_size=\"7462912\"] \n  16 [size=\"52404907\", alpha=\"0.06\", expect_size=\"15721472\"] \n  17 [size=\"162426880\", alpha=\"0.03\", expect_size=\"48728064\"] \n  18 [size=\"144756053\", alpha=\"0.12\", expect_size=\"43426816\"] \n  19 [size=\"97890987\", alpha=\"0.01\", expect_size=\"29367296\"] \n  20 [size=\"53504000\", alpha=\"0.10\", expect_size=\"16051200\"] \n  21 [size=\"32436907\", alpha=\"0.08\", expect_size=\"9731072\"] \n  22 [size=\"112814080\", alpha=\"0.03\", expect_size=\"33844224\"] \n  23 [size=\"33426773\", alpha=\"0.14\", expect_size=\"10028032\"] \n  24 [size=\"99700053\", alpha=\"0.04\", expect_size=\"29910016\"] \n  25 [size=\"69283840\", alpha=\"0.18\", expect_size=\"20785152\"] \n  26 [size=\"108219733\", alpha=\"0.04\", expect_size=\"32465920\"] \n  27 [size=\"156842667\", alpha=\"0.01\", expect_size=\"47052800\"] \n  28 [size=\"24784213\", alpha=\"0.11\", expect_size=\"7435264\"] \n  29 [size=\"122886827\", alpha=\"0.08\", expect_size=\"36866048\"] \n  30 [size=\"132952747\", alpha=\"0.06\", expect_size=\"39885824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90077184\", alpha=\"0.19\", expect_size=\"45038592\"] \n  1 -> 6 [size =\"45038592\"]\n  1 -> 7 [size =\"45038592\"]\n  2 [size=\"45590528\", alpha=\"0.18\", expect_size=\"22795264\"] \n  3 [size=\"97021952\", alpha=\"0.12\", expect_size=\"48510976\"] \n  3 -> 8 [size =\"48510976\"]\n  4 [size=\"44062720\", alpha=\"0.10\", expect_size=\"22031360\"] \n  5 [size=\"17094656\", alpha=\"0.07\", expect_size=\"8547328\"] \n  5 -> 6 [size =\"8547328\"]\n  6 [size=\"65087488\", alpha=\"0.15\", expect_size=\"32543744\"] \n  6 -> 10 [size =\"32543744\"]\n  6 -> 11 [size =\"32543744\"]\n  7 [size=\"17260544\", alpha=\"0.06\", expect_size=\"8630272\"] \n  7 -> 11 [size =\"8630272\"]\n  8 [size=\"94916608\", alpha=\"0.16\", expect_size=\"47458304\"] \n  8 -> 9 [size =\"47458304\"]\n  8 -> 10 [size =\"47458304\"]\n  9 [size=\"16046080\", alpha=\"0.09\", expect_size=\"8023040\"] \n  9 -> 14 [size =\"8023040\"]\n  9 -> 15 [size =\"8023040\"]\n  9 -> 16 [size =\"8023040\"]\n  10 [size=\"34936832\", alpha=\"0.16\", expect_size=\"17468416\"] \n  10 -> 12 [size =\"17468416\"]\n  10 -> 13 [size =\"17468416\"]\n  11 [size=\"97689600\", alpha=\"0.01\", expect_size=\"48844800\"] \n  11 -> 12 [size =\"48844800\"]\n  12 [size=\"92540928\", alpha=\"0.18\", expect_size=\"46270464\"] \n  12 -> 18 [size =\"46270464\"]\n  12 -> 20 [size =\"46270464\"]\n  13 [size=\"84928512\", alpha=\"0.09\", expect_size=\"42464256\"] \n  13 -> 17 [size =\"42464256\"]\n  13 -> 18 [size =\"42464256\"]\n  13 -> 19 [size =\"42464256\"]\n  14 [size=\"47933440\", alpha=\"0.15\", expect_size=\"23966720\"] \n  14 -> 18 [size =\"23966720\"]\n  14 -> 19 [size =\"23966720\"]\n  15 [size=\"95586304\", alpha=\"0.11\", expect_size=\"47793152\"] \n  15 -> 17 [size =\"47793152\"]\n  16 [size=\"32016384\", alpha=\"0.09\", expect_size=\"16008192\"] \n  16 -> 20 [size =\"16008192\"]\n  17 [size=\"103970816\", alpha=\"0.15\", expect_size=\"51985408\"] \n  18 [size=\"36872192\", alpha=\"0.09\", expect_size=\"18436096\"] \n  18 -> 22 [size =\"18436096\"]\n  19 [size=\"17852416\", alpha=\"0.05\", expect_size=\"8926208\"] \n  19 -> 21 [size =\"8926208\"]\n  20 [size=\"59676672\", alpha=\"0.03\", expect_size=\"29838336\"] \n  20 -> 21 [size =\"29838336\"]\n  20 -> 23 [size =\"29838336\"]\n  21 [size=\"42033152\", alpha=\"0.18\", expect_size=\"21016576\"] \n  21 -> 24 [size =\"21016576\"]\n  21 -> 26 [size =\"21016576\"]\n  22 [size=\"46116864\", alpha=\"0.01\", expect_size=\"23058432\"] \n  22 -> 24 [size =\"23058432\"]\n  23 [size=\"36947968\", alpha=\"0.02\", expect_size=\"18473984\"] \n  23 -> 25 [size =\"18473984\"]\n  23 -> 26 [size =\"18473984\"]\n  23 -> 27 [size =\"18473984\"]\n  24 [size=\"80105472\", alpha=\"0.10\", expect_size=\"40052736\"] \n  24 -> 28 [size =\"40052736\"]\n  25 [size=\"55316480\", alpha=\"0.19\", expect_size=\"27658240\"] \n  25 -> 29 [size =\"27658240\"]\n  25 -> 30 [size =\"27658240\"]\n  26 [size=\"11800576\", alpha=\"0.00\", expect_size=\"5900288\"] \n  26 -> 30 [size =\"5900288\"]\n  27 [size=\"52512768\", alpha=\"0.03\", expect_size=\"26256384\"] \n  28 [size=\"27770880\", alpha=\"0.03\", expect_size=\"13885440\"] \n  29 [size=\"70680576\", alpha=\"0.05\", expect_size=\"35340288\"] \n  30 [size=\"91914240\", alpha=\"0.12\", expect_size=\"45957120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66836480\", alpha=\"0.19\", expect_size=\"26734592\"] \n  2 [size=\"36341760\", alpha=\"0.10\", expect_size=\"14536704\"] \n  2 -> 7 [size =\"14536704\"]\n  3 [size=\"60464640\", alpha=\"0.19\", expect_size=\"24185856\"] \n  3 -> 7 [size =\"24185856\"]\n  3 -> 8 [size =\"24185856\"]\n  3 -> 9 [size =\"24185856\"]\n  4 [size=\"117585920\", alpha=\"0.17\", expect_size=\"47034368\"] \n  4 -> 7 [size =\"47034368\"]\n  4 -> 8 [size =\"47034368\"]\n  4 -> 10 [size =\"47034368\"]\n  4 -> 11 [size =\"47034368\"]\n  5 [size=\"38609920\", alpha=\"0.05\", expect_size=\"15443968\"] \n  5 -> 6 [size =\"15443968\"]\n  5 -> 7 [size =\"15443968\"]\n  5 -> 10 [size =\"15443968\"]\n  5 -> 11 [size =\"15443968\"]\n  6 [size=\"110113280\", alpha=\"0.04\", expect_size=\"44045312\"] \n  6 -> 12 [size =\"44045312\"]\n  7 [size=\"71255040\", alpha=\"0.10\", expect_size=\"28502016\"] \n  7 -> 12 [size =\"28502016\"]\n  7 -> 14 [size =\"28502016\"]\n  8 [size=\"15948800\", alpha=\"0.04\", expect_size=\"6379520\"] \n  9 [size=\"14835200\", alpha=\"0.10\", expect_size=\"5934080\"] \n  9 -> 12 [size =\"5934080\"]\n  10 [size=\"22914560\", alpha=\"0.12\", expect_size=\"9165824\"] \n  10 -> 13 [size =\"9165824\"]\n  11 [size=\"53038080\", alpha=\"0.20\", expect_size=\"21215232\"] \n  11 -> 12 [size =\"21215232\"]\n  11 -> 15 [size =\"21215232\"]\n  11 -> 16 [size =\"21215232\"]\n  12 [size=\"48901120\", alpha=\"0.13\", expect_size=\"19560448\"] \n  12 -> 17 [size =\"19560448\"]\n  12 -> 20 [size =\"19560448\"]\n  13 [size=\"110673920\", alpha=\"0.13\", expect_size=\"44269568\"] \n  13 -> 17 [size =\"44269568\"]\n  13 -> 20 [size =\"44269568\"]\n  14 [size=\"107407360\", alpha=\"0.06\", expect_size=\"42962944\"] \n  14 -> 19 [size =\"42962944\"]\n  14 -> 20 [size =\"42962944\"]\n  15 [size=\"87380480\", alpha=\"0.04\", expect_size=\"34952192\"] \n  15 -> 18 [size =\"34952192\"]\n  15 -> 19 [size =\"34952192\"]\n  16 [size=\"115008000\", alpha=\"0.11\", expect_size=\"46003200\"] \n  17 [size=\"23470080\", alpha=\"0.05\", expect_size=\"9388032\"] \n  17 -> 21 [size =\"9388032\"]\n  17 -> 23 [size =\"9388032\"]\n  18 [size=\"79848960\", alpha=\"0.15\", expect_size=\"31939584\"] \n  18 -> 22 [size =\"31939584\"]\n  19 [size=\"104066560\", alpha=\"0.17\", expect_size=\"41626624\"] \n  20 [size=\"44096000\", alpha=\"0.01\", expect_size=\"17638400\"] \n  20 -> 21 [size =\"17638400\"]\n  20 -> 23 [size =\"17638400\"]\n  21 [size=\"113128960\", alpha=\"0.14\", expect_size=\"45251584\"] \n  21 -> 24 [size =\"45251584\"]\n  21 -> 25 [size =\"45251584\"]\n  21 -> 26 [size =\"45251584\"]\n  22 [size=\"111580160\", alpha=\"0.11\", expect_size=\"44632064\"] \n  22 -> 24 [size =\"44632064\"]\n  22 -> 25 [size =\"44632064\"]\n  22 -> 26 [size =\"44632064\"]\n  23 [size=\"70479360\", alpha=\"0.17\", expect_size=\"28191744\"] \n  23 -> 25 [size =\"28191744\"]\n  23 -> 26 [size =\"28191744\"]\n  24 [size=\"26636800\", alpha=\"0.19\", expect_size=\"10654720\"] \n  24 -> 27 [size =\"10654720\"]\n  25 [size=\"61844480\", alpha=\"0.07\", expect_size=\"24737792\"] \n  25 -> 27 [size =\"24737792\"]\n  25 -> 28 [size =\"24737792\"]\n  26 [size=\"86958080\", alpha=\"0.10\", expect_size=\"34783232\"] \n  26 -> 27 [size =\"34783232\"]\n  26 -> 28 [size =\"34783232\"]\n  26 -> 29 [size =\"34783232\"]\n  27 [size=\"36206080\", alpha=\"0.04\", expect_size=\"14482432\"] \n  27 -> 30 [size =\"14482432\"]\n  28 [size=\"68439040\", alpha=\"0.18\", expect_size=\"27375616\"] \n  28 -> 30 [size =\"27375616\"]\n  29 [size=\"36482560\", alpha=\"0.12\", expect_size=\"14593024\"] \n  29 -> 30 [size =\"14593024\"]\n  30 [size=\"18160640\", alpha=\"0.08\", expect_size=\"7264256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40329216\", alpha=\"0.20\", expect_size=\"20164608\"] \n  1 -> 5 [size =\"20164608\"]\n  1 -> 6 [size =\"20164608\"]\n  1 -> 6 [size =\"20164608\"]\n  1 -> 9 [size =\"20164608\"]\n  2 [size=\"12939264\", alpha=\"0.19\", expect_size=\"6469632\"] \n  2 -> 5 [size =\"6469632\"]\n  2 -> 7 [size =\"6469632\"]\n  2 -> 9 [size =\"6469632\"]\n  3 [size=\"93513728\", alpha=\"0.04\", expect_size=\"46756864\"] \n  3 -> 4 [size =\"46756864\"]\n  3 -> 5 [size =\"46756864\"]\n  3 -> 6 [size =\"46756864\"]\n  3 -> 8 [size =\"46756864\"]\n  3 -> 9 [size =\"46756864\"]\n  4 [size=\"79945728\", alpha=\"0.10\", expect_size=\"39972864\"] \n  4 -> 11 [size =\"39972864\"]\n  4 -> 13 [size =\"39972864\"]\n  4 -> 14 [size =\"39972864\"]\n  5 [size=\"100513792\", alpha=\"0.01\", expect_size=\"50256896\"] \n  5 -> 11 [size =\"50256896\"]\n  5 -> 12 [size =\"50256896\"]\n  5 -> 13 [size =\"50256896\"]\n  6 [size=\"71155712\", alpha=\"0.09\", expect_size=\"35577856\"] \n  6 -> 12 [size =\"35577856\"]\n  6 -> 14 [size =\"35577856\"]\n  7 [size=\"63877120\", alpha=\"0.11\", expect_size=\"31938560\"] \n  7 -> 10 [size =\"31938560\"]\n  7 -> 11 [size =\"31938560\"]\n  7 -> 14 [size =\"31938560\"]\n  7 -> 15 [size =\"31938560\"]\n  8 [size=\"67981312\", alpha=\"0.05\", expect_size=\"33990656\"] \n  8 -> 11 [size =\"33990656\"]\n  8 -> 14 [size =\"33990656\"]\n  9 [size=\"89894912\", alpha=\"0.00\", expect_size=\"44947456\"] \n  9 -> 11 [size =\"44947456\"]\n  9 -> 13 [size =\"44947456\"]\n  9 -> 14 [size =\"44947456\"]\n  10 [size=\"92010496\", alpha=\"0.13\", expect_size=\"46005248\"] \n  10 -> 16 [size =\"46005248\"]\n  11 [size=\"55687168\", alpha=\"0.15\", expect_size=\"27843584\"] \n  12 [size=\"54515712\", alpha=\"0.01\", expect_size=\"27257856\"] \n  12 -> 17 [size =\"27257856\"]\n  13 [size=\"51281920\", alpha=\"0.18\", expect_size=\"25640960\"] \n  13 -> 16 [size =\"25640960\"]\n  14 [size=\"68687872\", alpha=\"0.12\", expect_size=\"34343936\"] \n  14 -> 16 [size =\"34343936\"]\n  15 [size=\"22573056\", alpha=\"0.17\", expect_size=\"11286528\"] \n  16 [size=\"25473024\", alpha=\"0.15\", expect_size=\"12736512\"] \n  16 -> 18 [size =\"12736512\"]\n  16 -> 20 [size =\"12736512\"]\n  17 [size=\"67786752\", alpha=\"0.04\", expect_size=\"33893376\"] \n  17 -> 18 [size =\"33893376\"]\n  17 -> 19 [size =\"33893376\"]\n  18 [size=\"25643008\", alpha=\"0.18\", expect_size=\"12821504\"] \n  18 -> 21 [size =\"12821504\"]\n  18 -> 22 [size =\"12821504\"]\n  19 [size=\"48855040\", alpha=\"0.10\", expect_size=\"24427520\"] \n  19 -> 21 [size =\"24427520\"]\n  19 -> 22 [size =\"24427520\"]\n  19 -> 23 [size =\"24427520\"]\n  19 -> 24 [size =\"24427520\"]\n  19 -> 25 [size =\"24427520\"]\n  20 [size=\"50737152\", alpha=\"0.03\", expect_size=\"25368576\"] \n  20 -> 21 [size =\"25368576\"]\n  20 -> 24 [size =\"25368576\"]\n  20 -> 25 [size =\"25368576\"]\n  21 [size=\"17782784\", alpha=\"0.03\", expect_size=\"8891392\"] \n  21 -> 28 [size =\"8891392\"]\n  22 [size=\"87515136\", alpha=\"0.04\", expect_size=\"43757568\"] \n  22 -> 26 [size =\"43757568\"]\n  22 -> 28 [size =\"43757568\"]\n  22 -> 30 [size =\"43757568\"]\n  23 [size=\"93413376\", alpha=\"0.02\", expect_size=\"46706688\"] \n  23 -> 27 [size =\"46706688\"]\n  23 -> 28 [size =\"46706688\"]\n  23 -> 30 [size =\"46706688\"]\n  24 [size=\"83734528\", alpha=\"0.15\", expect_size=\"41867264\"] \n  24 -> 28 [size =\"41867264\"]\n  24 -> 29 [size =\"41867264\"]\n  24 -> 30 [size =\"41867264\"]\n  25 [size=\"48252928\", alpha=\"0.07\", expect_size=\"24126464\"] \n  25 -> 28 [size =\"24126464\"]\n  25 -> 30 [size =\"24126464\"]\n  26 [size=\"32808960\", alpha=\"0.12\", expect_size=\"16404480\"] \n  27 [size=\"103059456\", alpha=\"0.08\", expect_size=\"51529728\"] \n  28 [size=\"26765312\", alpha=\"0.16\", expect_size=\"13382656\"] \n  29 [size=\"16941056\", alpha=\"0.01\", expect_size=\"8470528\"] \n  30 [size=\"62181376\", alpha=\"0.04\", expect_size=\"31090688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69655040\", alpha=\"0.11\", expect_size=\"27862016\"] \n  1 -> 2 [size =\"27862016\"]\n  2 [size=\"114321920\", alpha=\"0.10\", expect_size=\"45728768\"] \n  2 -> 3 [size =\"45728768\"]\n  3 [size=\"122775040\", alpha=\"0.08\", expect_size=\"49110016\"] \n  3 -> 4 [size =\"49110016\"]\n  4 [size=\"87144960\", alpha=\"0.19\", expect_size=\"34857984\"] \n  4 -> 5 [size =\"34857984\"]\n  5 [size=\"104353280\", alpha=\"0.19\", expect_size=\"41741312\"] \n  5 -> 6 [size =\"41741312\"]\n  6 [size=\"82685440\", alpha=\"0.01\", expect_size=\"33074176\"] \n  6 -> 7 [size =\"33074176\"]\n  7 [size=\"53527040\", alpha=\"0.16\", expect_size=\"21410816\"] \n  7 -> 8 [size =\"21410816\"]\n  8 [size=\"95316480\", alpha=\"0.07\", expect_size=\"38126592\"] \n  8 -> 9 [size =\"38126592\"]\n  9 [size=\"112655360\", alpha=\"0.18\", expect_size=\"45062144\"] \n  9 -> 10 [size =\"45062144\"]\n  10 [size=\"37488640\", alpha=\"0.14\", expect_size=\"14995456\"] \n  10 -> 11 [size =\"14995456\"]\n  11 [size=\"17152000\", alpha=\"0.19\", expect_size=\"6860800\"] \n  11 -> 12 [size =\"6860800\"]\n  12 [size=\"79943680\", alpha=\"0.07\", expect_size=\"31977472\"] \n  12 -> 13 [size =\"31977472\"]\n  13 [size=\"21312000\", alpha=\"0.02\", expect_size=\"8524800\"] \n  13 -> 14 [size =\"8524800\"]\n  14 [size=\"69539840\", alpha=\"0.10\", expect_size=\"27815936\"] \n  14 -> 15 [size =\"27815936\"]\n  15 [size=\"64053760\", alpha=\"0.04\", expect_size=\"25621504\"] \n  15 -> 16 [size =\"25621504\"]\n  16 [size=\"56599040\", alpha=\"0.19\", expect_size=\"22639616\"] \n  16 -> 17 [size =\"22639616\"]\n  17 [size=\"60884480\", alpha=\"0.03\", expect_size=\"24353792\"] \n  17 -> 18 [size =\"24353792\"]\n  18 [size=\"39027200\", alpha=\"0.19\", expect_size=\"15610880\"] \n  18 -> 19 [size =\"15610880\"]\n  19 [size=\"82030080\", alpha=\"0.04\", expect_size=\"32812032\"] \n  19 -> 20 [size =\"32812032\"]\n  20 [size=\"69160960\", alpha=\"0.18\", expect_size=\"27664384\"] \n  20 -> 21 [size =\"27664384\"]\n  21 [size=\"32360960\", alpha=\"0.01\", expect_size=\"12944384\"] \n  21 -> 22 [size =\"12944384\"]\n  22 [size=\"24706560\", alpha=\"0.01\", expect_size=\"9882624\"] \n  22 -> 23 [size =\"9882624\"]\n  23 [size=\"65512960\", alpha=\"0.00\", expect_size=\"26205184\"] \n  23 -> 24 [size =\"26205184\"]\n  24 [size=\"76736000\", alpha=\"0.12\", expect_size=\"30694400\"] \n  24 -> 25 [size =\"30694400\"]\n  25 [size=\"18071040\", alpha=\"0.18\", expect_size=\"7228416\"] \n  25 -> 26 [size =\"7228416\"]\n  26 [size=\"39326720\", alpha=\"0.17\", expect_size=\"15730688\"] \n  26 -> 27 [size =\"15730688\"]\n  27 [size=\"34972160\", alpha=\"0.03\", expect_size=\"13988864\"] \n  27 -> 28 [size =\"13988864\"]\n  28 [size=\"52144640\", alpha=\"0.02\", expect_size=\"20857856\"] \n  28 -> 29 [size =\"20857856\"]\n  29 [size=\"48512000\", alpha=\"0.19\", expect_size=\"19404800\"] \n  29 -> 30 [size =\"19404800\"]\n  30 [size=\"72368640\", alpha=\"0.19\", expect_size=\"28947456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20432896\", alpha=\"0.05\", expect_size=\"10216448\"] \n  1 -> 2 [size =\"10216448\"]\n  1 -> 3 [size =\"10216448\"]\n  2 [size=\"53794816\", alpha=\"0.07\", expect_size=\"26897408\"] \n  2 -> 4 [size =\"26897408\"]\n  3 [size=\"103782400\", alpha=\"0.17\", expect_size=\"51891200\"] \n  3 -> 4 [size =\"51891200\"]\n  4 [size=\"56348672\", alpha=\"0.04\", expect_size=\"28174336\"] \n  4 -> 5 [size =\"28174336\"]\n  4 -> 6 [size =\"28174336\"]\n  5 [size=\"72093696\", alpha=\"0.14\", expect_size=\"36046848\"] \n  5 -> 7 [size =\"36046848\"]\n  6 [size=\"53614592\", alpha=\"0.04\", expect_size=\"26807296\"] \n  6 -> 8 [size =\"26807296\"]\n  7 [size=\"12171264\", alpha=\"0.11\", expect_size=\"6085632\"] \n  7 -> 10 [size =\"6085632\"]\n  8 [size=\"43157504\", alpha=\"0.00\", expect_size=\"21578752\"] \n  8 -> 9 [size =\"21578752\"]\n  8 -> 10 [size =\"21578752\"]\n  9 [size=\"97284096\", alpha=\"0.16\", expect_size=\"48642048\"] \n  9 -> 11 [size =\"48642048\"]\n  9 -> 12 [size =\"48642048\"]\n  10 [size=\"52570112\", alpha=\"0.12\", expect_size=\"26285056\"] \n  10 -> 11 [size =\"26285056\"]\n  10 -> 12 [size =\"26285056\"]\n  11 [size=\"32602112\", alpha=\"0.12\", expect_size=\"16301056\"] \n  11 -> 13 [size =\"16301056\"]\n  11 -> 14 [size =\"16301056\"]\n  12 [size=\"56477696\", alpha=\"0.10\", expect_size=\"28238848\"] \n  12 -> 13 [size =\"28238848\"]\n  12 -> 14 [size =\"28238848\"]\n  13 [size=\"91719680\", alpha=\"0.16\", expect_size=\"45859840\"] \n  13 -> 15 [size =\"45859840\"]\n  14 [size=\"76967936\", alpha=\"0.16\", expect_size=\"38483968\"] \n  14 -> 15 [size =\"38483968\"]\n  15 [size=\"97746944\", alpha=\"0.06\", expect_size=\"48873472\"] \n  15 -> 16 [size =\"48873472\"]\n  16 [size=\"70086656\", alpha=\"0.13\", expect_size=\"35043328\"] \n  16 -> 17 [size =\"35043328\"]\n  17 [size=\"91189248\", alpha=\"0.19\", expect_size=\"45594624\"] \n  17 -> 18 [size =\"45594624\"]\n  18 [size=\"47480832\", alpha=\"0.08\", expect_size=\"23740416\"] \n  18 -> 19 [size =\"23740416\"]\n  18 -> 20 [size =\"23740416\"]\n  19 [size=\"48590848\", alpha=\"0.18\", expect_size=\"24295424\"] \n  19 -> 21 [size =\"24295424\"]\n  20 [size=\"31383552\", alpha=\"0.07\", expect_size=\"15691776\"] \n  20 -> 21 [size =\"15691776\"]\n  21 [size=\"88639488\", alpha=\"0.18\", expect_size=\"44319744\"] \n  21 -> 22 [size =\"44319744\"]\n  21 -> 23 [size =\"44319744\"]\n  22 [size=\"52291584\", alpha=\"0.19\", expect_size=\"26145792\"] \n  22 -> 24 [size =\"26145792\"]\n  22 -> 25 [size =\"26145792\"]\n  23 [size=\"100886528\", alpha=\"0.19\", expect_size=\"50443264\"] \n  23 -> 24 [size =\"50443264\"]\n  23 -> 25 [size =\"50443264\"]\n  24 [size=\"82956288\", alpha=\"0.09\", expect_size=\"41478144\"] \n  24 -> 27 [size =\"41478144\"]\n  25 [size=\"62199808\", alpha=\"0.12\", expect_size=\"31099904\"] \n  25 -> 26 [size =\"31099904\"]\n  25 -> 27 [size =\"31099904\"]\n  26 [size=\"88932352\", alpha=\"0.05\", expect_size=\"44466176\"] \n  26 -> 28 [size =\"44466176\"]\n  26 -> 29 [size =\"44466176\"]\n  27 [size=\"53794816\", alpha=\"0.17\", expect_size=\"26897408\"] \n  27 -> 28 [size =\"26897408\"]\n  27 -> 29 [size =\"26897408\"]\n  28 [size=\"51023872\", alpha=\"0.17\", expect_size=\"25511936\"] \n  28 -> 30 [size =\"25511936\"]\n  29 [size=\"86894592\", alpha=\"0.15\", expect_size=\"43447296\"] \n  29 -> 30 [size =\"43447296\"]\n  30 [size=\"75511808\", alpha=\"0.02\", expect_size=\"37755904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69787648\", alpha=\"0.05\", expect_size=\"34893824\"] \n  1 -> 7 [size =\"34893824\"]\n  1 -> 9 [size =\"34893824\"]\n  2 [size=\"59662336\", alpha=\"0.00\", expect_size=\"29831168\"] \n  2 -> 7 [size =\"29831168\"]\n  2 -> 10 [size =\"29831168\"]\n  2 -> 13 [size =\"29831168\"]\n  3 [size=\"18913280\", alpha=\"0.10\", expect_size=\"9456640\"] \n  3 -> 6 [size =\"9456640\"]\n  3 -> 8 [size =\"9456640\"]\n  3 -> 9 [size =\"9456640\"]\n  3 -> 10 [size =\"9456640\"]\n  3 -> 12 [size =\"9456640\"]\n  3 -> 13 [size =\"9456640\"]\n  4 [size=\"33902592\", alpha=\"0.18\", expect_size=\"16951296\"] \n  4 -> 6 [size =\"16951296\"]\n  4 -> 7 [size =\"16951296\"]\n  4 -> 8 [size =\"16951296\"]\n  4 -> 10 [size =\"16951296\"]\n  4 -> 11 [size =\"16951296\"]\n  5 [size=\"39786496\", alpha=\"0.15\", expect_size=\"19893248\"] \n  5 -> 6 [size =\"19893248\"]\n  6 [size=\"91174912\", alpha=\"0.02\", expect_size=\"45587456\"] \n  6 -> 15 [size =\"45587456\"]\n  6 -> 16 [size =\"45587456\"]\n  6 -> 17 [size =\"45587456\"]\n  6 -> 20 [size =\"45587456\"]\n  6 -> 22 [size =\"45587456\"]\n  6 -> 24 [size =\"45587456\"]\n  6 -> 25 [size =\"45587456\"]\n  7 [size=\"76345344\", alpha=\"0.09\", expect_size=\"38172672\"] \n  7 -> 15 [size =\"38172672\"]\n  7 -> 16 [size =\"38172672\"]\n  7 -> 17 [size =\"38172672\"]\n  7 -> 19 [size =\"38172672\"]\n  7 -> 20 [size =\"38172672\"]\n  7 -> 21 [size =\"38172672\"]\n  7 -> 26 [size =\"38172672\"]\n  8 [size=\"98328576\", alpha=\"0.20\", expect_size=\"49164288\"] \n  8 -> 15 [size =\"49164288\"]\n  8 -> 16 [size =\"49164288\"]\n  8 -> 20 [size =\"49164288\"]\n  8 -> 21 [size =\"49164288\"]\n  9 [size=\"46202880\", alpha=\"0.16\", expect_size=\"23101440\"] \n  9 -> 14 [size =\"23101440\"]\n  9 -> 22 [size =\"23101440\"]\n  9 -> 26 [size =\"23101440\"]\n  10 [size=\"55134208\", alpha=\"0.13\", expect_size=\"27567104\"] \n  10 -> 21 [size =\"27567104\"]\n  10 -> 26 [size =\"27567104\"]\n  11 [size=\"41308160\", alpha=\"0.15\", expect_size=\"20654080\"] \n  11 -> 17 [size =\"20654080\"]\n  11 -> 18 [size =\"20654080\"]\n  11 -> 19 [size =\"20654080\"]\n  11 -> 22 [size =\"20654080\"]\n  12 [size=\"65298432\", alpha=\"0.16\", expect_size=\"32649216\"] \n  12 -> 16 [size =\"32649216\"]\n  12 -> 17 [size =\"32649216\"]\n  12 -> 18 [size =\"32649216\"]\n  12 -> 19 [size =\"32649216\"]\n  12 -> 20 [size =\"32649216\"]\n  12 -> 21 [size =\"32649216\"]\n  12 -> 24 [size =\"32649216\"]\n  12 -> 25 [size =\"32649216\"]\n  13 [size=\"66400256\", alpha=\"0.09\", expect_size=\"33200128\"] \n  13 -> 15 [size =\"33200128\"]\n  13 -> 16 [size =\"33200128\"]\n  13 -> 19 [size =\"33200128\"]\n  13 -> 20 [size =\"33200128\"]\n  13 -> 23 [size =\"33200128\"]\n  13 -> 24 [size =\"33200128\"]\n  14 [size=\"20862976\", alpha=\"0.06\", expect_size=\"10431488\"] \n  14 -> 27 [size =\"10431488\"]\n  14 -> 29 [size =\"10431488\"]\n  14 -> 30 [size =\"10431488\"]\n  15 [size=\"103753728\", alpha=\"0.14\", expect_size=\"51876864\"] \n  16 [size=\"79050752\", alpha=\"0.18\", expect_size=\"39525376\"] \n  16 -> 27 [size =\"39525376\"]\n  17 [size=\"86337536\", alpha=\"0.16\", expect_size=\"43168768\"] \n  17 -> 27 [size =\"43168768\"]\n  17 -> 28 [size =\"43168768\"]\n  18 [size=\"33548288\", alpha=\"0.08\", expect_size=\"16774144\"] \n  19 [size=\"31578112\", alpha=\"0.12\", expect_size=\"15789056\"] \n  19 -> 27 [size =\"15789056\"]\n  20 [size=\"13443072\", alpha=\"0.03\", expect_size=\"6721536\"] \n  20 -> 27 [size =\"6721536\"]\n  20 -> 28 [size =\"6721536\"]\n  20 -> 30 [size =\"6721536\"]\n  21 [size=\"74618880\", alpha=\"0.06\", expect_size=\"37309440\"] \n  21 -> 28 [size =\"37309440\"]\n  22 [size=\"48943104\", alpha=\"0.01\", expect_size=\"24471552\"] \n  23 [size=\"28919808\", alpha=\"0.16\", expect_size=\"14459904\"] \n  24 [size=\"72579072\", alpha=\"0.17\", expect_size=\"36289536\"] \n  25 [size=\"99938304\", alpha=\"0.04\", expect_size=\"49969152\"] \n  25 -> 28 [size =\"49969152\"]\n  26 [size=\"71884800\", alpha=\"0.08\", expect_size=\"35942400\"] \n  26 -> 28 [size =\"35942400\"]\n  27 [size=\"63238144\", alpha=\"0.07\", expect_size=\"31619072\"] \n  28 [size=\"46045184\", alpha=\"0.03\", expect_size=\"23022592\"] \n  29 [size=\"85667840\", alpha=\"0.08\", expect_size=\"42833920\"] \n  30 [size=\"46592000\", alpha=\"0.01\", expect_size=\"23296000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87319040\", alpha=\"0.15\", expect_size=\"34927616\"] \n  1 -> 11 [size =\"34927616\"]\n  1 -> 14 [size =\"34927616\"]\n  1 -> 17 [size =\"34927616\"]\n  1 -> 19 [size =\"34927616\"]\n  2 [size=\"13729280\", alpha=\"0.04\", expect_size=\"5491712\"] \n  2 -> 11 [size =\"5491712\"]\n  2 -> 16 [size =\"5491712\"]\n  2 -> 17 [size =\"5491712\"]\n  2 -> 18 [size =\"5491712\"]\n  2 -> 19 [size =\"5491712\"]\n  3 [size=\"66631680\", alpha=\"0.06\", expect_size=\"26652672\"] \n  3 -> 11 [size =\"26652672\"]\n  3 -> 13 [size =\"26652672\"]\n  3 -> 17 [size =\"26652672\"]\n  3 -> 18 [size =\"26652672\"]\n  4 [size=\"96343040\", alpha=\"0.01\", expect_size=\"38537216\"] \n  4 -> 15 [size =\"38537216\"]\n  4 -> 18 [size =\"38537216\"]\n  5 [size=\"68067840\", alpha=\"0.01\", expect_size=\"27227136\"] \n  5 -> 12 [size =\"27227136\"]\n  5 -> 15 [size =\"27227136\"]\n  5 -> 17 [size =\"27227136\"]\n  5 -> 18 [size =\"27227136\"]\n  6 [size=\"91806720\", alpha=\"0.08\", expect_size=\"36722688\"] \n  6 -> 11 [size =\"36722688\"]\n  6 -> 12 [size =\"36722688\"]\n  6 -> 14 [size =\"36722688\"]\n  6 -> 15 [size =\"36722688\"]\n  6 -> 18 [size =\"36722688\"]\n  6 -> 19 [size =\"36722688\"]\n  7 [size=\"120924160\", alpha=\"0.10\", expect_size=\"48369664\"] \n  7 -> 11 [size =\"48369664\"]\n  7 -> 13 [size =\"48369664\"]\n  7 -> 14 [size =\"48369664\"]\n  7 -> 15 [size =\"48369664\"]\n  8 [size=\"68034560\", alpha=\"0.03\", expect_size=\"27213824\"] \n  8 -> 14 [size =\"27213824\"]\n  8 -> 19 [size =\"27213824\"]\n  9 [size=\"98129920\", alpha=\"0.01\", expect_size=\"39251968\"] \n  9 -> 12 [size =\"39251968\"]\n  9 -> 14 [size =\"39251968\"]\n  9 -> 15 [size =\"39251968\"]\n  9 -> 19 [size =\"39251968\"]\n  10 [size=\"62871040\", alpha=\"0.09\", expect_size=\"25148416\"] \n  10 -> 11 [size =\"25148416\"]\n  10 -> 12 [size =\"25148416\"]\n  10 -> 14 [size =\"25148416\"]\n  10 -> 15 [size =\"25148416\"]\n  10 -> 16 [size =\"25148416\"]\n  10 -> 17 [size =\"25148416\"]\n  10 -> 19 [size =\"25148416\"]\n  11 [size=\"115804160\", alpha=\"0.17\", expect_size=\"46321664\"] \n  11 -> 24 [size =\"46321664\"]\n  11 -> 28 [size =\"46321664\"]\n  12 [size=\"85209600\", alpha=\"0.18\", expect_size=\"34083840\"] \n  12 -> 20 [size =\"34083840\"]\n  12 -> 21 [size =\"34083840\"]\n  12 -> 23 [size =\"34083840\"]\n  12 -> 24 [size =\"34083840\"]\n  13 [size=\"109276160\", alpha=\"0.18\", expect_size=\"43710464\"] \n  13 -> 20 [size =\"43710464\"]\n  13 -> 21 [size =\"43710464\"]\n  13 -> 22 [size =\"43710464\"]\n  13 -> 26 [size =\"43710464\"]\n  13 -> 27 [size =\"43710464\"]\n  14 [size=\"27412480\", alpha=\"0.10\", expect_size=\"10964992\"] \n  14 -> 20 [size =\"10964992\"]\n  14 -> 24 [size =\"10964992\"]\n  14 -> 28 [size =\"10964992\"]\n  15 [size=\"35276800\", alpha=\"0.09\", expect_size=\"14110720\"] \n  15 -> 20 [size =\"14110720\"]\n  15 -> 28 [size =\"14110720\"]\n  16 [size=\"43443200\", alpha=\"0.02\", expect_size=\"17377280\"] \n  16 -> 21 [size =\"17377280\"]\n  16 -> 22 [size =\"17377280\"]\n  16 -> 24 [size =\"17377280\"]\n  16 -> 25 [size =\"17377280\"]\n  16 -> 27 [size =\"17377280\"]\n  16 -> 28 [size =\"17377280\"]\n  17 [size=\"90634240\", alpha=\"0.19\", expect_size=\"36253696\"] \n  17 -> 23 [size =\"36253696\"]\n  17 -> 25 [size =\"36253696\"]\n  17 -> 27 [size =\"36253696\"]\n  18 [size=\"34216960\", alpha=\"0.15\", expect_size=\"13686784\"] \n  18 -> 20 [size =\"13686784\"]\n  18 -> 25 [size =\"13686784\"]\n  18 -> 27 [size =\"13686784\"]\n  19 [size=\"52520960\", alpha=\"0.13\", expect_size=\"21008384\"] \n  19 -> 22 [size =\"21008384\"]\n  19 -> 23 [size =\"21008384\"]\n  19 -> 28 [size =\"21008384\"]\n  20 [size=\"57543680\", alpha=\"0.18\", expect_size=\"23017472\"] \n  21 [size=\"112220160\", alpha=\"0.15\", expect_size=\"44888064\"] \n  22 [size=\"93468160\", alpha=\"0.12\", expect_size=\"37387264\"] \n  22 -> 29 [size =\"37387264\"]\n  23 [size=\"80668160\", alpha=\"0.19\", expect_size=\"32267264\"] \n  23 -> 29 [size =\"32267264\"]\n  23 -> 30 [size =\"32267264\"]\n  24 [size=\"66531840\", alpha=\"0.20\", expect_size=\"26612736\"] \n  24 -> 29 [size =\"26612736\"]\n  25 [size=\"125542400\", alpha=\"0.10\", expect_size=\"50216960\"] \n  25 -> 29 [size =\"50216960\"]\n  26 [size=\"63073280\", alpha=\"0.13\", expect_size=\"25229312\"] \n  26 -> 29 [size =\"25229312\"]\n  27 [size=\"74895360\", alpha=\"0.14\", expect_size=\"29958144\"] \n  27 -> 30 [size =\"29958144\"]\n  28 [size=\"69747200\", alpha=\"0.05\", expect_size=\"27898880\"] \n  28 -> 29 [size =\"27898880\"]\n  28 -> 30 [size =\"27898880\"]\n  29 [size=\"42754560\", alpha=\"0.11\", expect_size=\"17101824\"] \n  30 [size=\"117967360\", alpha=\"0.04\", expect_size=\"47186944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126067200\", alpha=\"0.19\", expect_size=\"50426880\"] \n  1 -> 2 [size =\"50426880\"]\n  2 [size=\"18987520\", alpha=\"0.13\", expect_size=\"7595008\"] \n  2 -> 3 [size =\"7595008\"]\n  3 [size=\"73088000\", alpha=\"0.15\", expect_size=\"29235200\"] \n  3 -> 4 [size =\"29235200\"]\n  4 [size=\"123151360\", alpha=\"0.17\", expect_size=\"49260544\"] \n  4 -> 5 [size =\"49260544\"]\n  5 [size=\"40442880\", alpha=\"0.01\", expect_size=\"16177152\"] \n  5 -> 6 [size =\"16177152\"]\n  6 [size=\"15577600\", alpha=\"0.17\", expect_size=\"6231040\"] \n  6 -> 7 [size =\"6231040\"]\n  7 [size=\"112033280\", alpha=\"0.06\", expect_size=\"44813312\"] \n  7 -> 8 [size =\"44813312\"]\n  8 [size=\"71096320\", alpha=\"0.03\", expect_size=\"28438528\"] \n  8 -> 9 [size =\"28438528\"]\n  9 [size=\"28922880\", alpha=\"0.02\", expect_size=\"11569152\"] \n  9 -> 10 [size =\"11569152\"]\n  10 [size=\"54274560\", alpha=\"0.16\", expect_size=\"21709824\"] \n  10 -> 11 [size =\"21709824\"]\n  11 [size=\"65868800\", alpha=\"0.07\", expect_size=\"26347520\"] \n  11 -> 12 [size =\"26347520\"]\n  12 [size=\"60912640\", alpha=\"0.07\", expect_size=\"24365056\"] \n  12 -> 13 [size =\"24365056\"]\n  13 [size=\"21726720\", alpha=\"0.13\", expect_size=\"8690688\"] \n  13 -> 14 [size =\"8690688\"]\n  14 [size=\"111065600\", alpha=\"0.09\", expect_size=\"44426240\"] \n  14 -> 15 [size =\"44426240\"]\n  15 [size=\"92659200\", alpha=\"0.13\", expect_size=\"37063680\"] \n  15 -> 16 [size =\"37063680\"]\n  16 [size=\"97272320\", alpha=\"0.05\", expect_size=\"38908928\"] \n  16 -> 17 [size =\"38908928\"]\n  17 [size=\"82004480\", alpha=\"0.11\", expect_size=\"32801792\"] \n  17 -> 18 [size =\"32801792\"]\n  18 [size=\"117721600\", alpha=\"0.14\", expect_size=\"47088640\"] \n  18 -> 19 [size =\"47088640\"]\n  19 [size=\"19973120\", alpha=\"0.04\", expect_size=\"7989248\"] \n  19 -> 20 [size =\"7989248\"]\n  20 [size=\"34575360\", alpha=\"0.19\", expect_size=\"13830144\"] \n  20 -> 21 [size =\"13830144\"]\n  21 [size=\"129113600\", alpha=\"0.13\", expect_size=\"51645440\"] \n  21 -> 22 [size =\"51645440\"]\n  22 [size=\"54105600\", alpha=\"0.08\", expect_size=\"21642240\"] \n  22 -> 23 [size =\"21642240\"]\n  23 [size=\"98119680\", alpha=\"0.14\", expect_size=\"39247872\"] \n  23 -> 24 [size =\"39247872\"]\n  24 [size=\"58844160\", alpha=\"0.17\", expect_size=\"23537664\"] \n  24 -> 25 [size =\"23537664\"]\n  25 [size=\"113246720\", alpha=\"0.06\", expect_size=\"45298688\"] \n  25 -> 26 [size =\"45298688\"]\n  26 [size=\"70097920\", alpha=\"0.15\", expect_size=\"28039168\"] \n  26 -> 27 [size =\"28039168\"]\n  27 [size=\"100288000\", alpha=\"0.00\", expect_size=\"40115200\"] \n  27 -> 28 [size =\"40115200\"]\n  28 [size=\"47925760\", alpha=\"0.16\", expect_size=\"19170304\"] \n  28 -> 29 [size =\"19170304\"]\n  29 [size=\"15111680\", alpha=\"0.14\", expect_size=\"6044672\"] \n  29 -> 30 [size =\"6044672\"]\n  30 [size=\"41625600\", alpha=\"0.19\", expect_size=\"16650240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171421013\", alpha=\"0.18\", expect_size=\"51426304\"] \n  1 -> 2 [size =\"51426304\"]\n  2 [size=\"143605760\", alpha=\"0.13\", expect_size=\"43081728\"] \n  2 -> 3 [size =\"43081728\"]\n  3 [size=\"117691733\", alpha=\"0.15\", expect_size=\"35307520\"] \n  3 -> 4 [size =\"35307520\"]\n  3 -> 5 [size =\"35307520\"]\n  4 [size=\"48496640\", alpha=\"0.18\", expect_size=\"14548992\"] \n  4 -> 6 [size =\"14548992\"]\n  4 -> 7 [size =\"14548992\"]\n  5 [size=\"79762773\", alpha=\"0.10\", expect_size=\"23928832\"] \n  5 -> 6 [size =\"23928832\"]\n  6 [size=\"64310613\", alpha=\"0.14\", expect_size=\"19293184\"] \n  6 -> 8 [size =\"19293184\"]\n  6 -> 9 [size =\"19293184\"]\n  7 [size=\"70157653\", alpha=\"0.16\", expect_size=\"21047296\"] \n  7 -> 8 [size =\"21047296\"]\n  7 -> 9 [size =\"21047296\"]\n  8 [size=\"168437760\", alpha=\"0.02\", expect_size=\"50531328\"] \n  9 [size=\"54418773\", alpha=\"0.16\", expect_size=\"16325632\"] \n  9 -> 10 [size =\"16325632\"]\n  10 [size=\"109383680\", alpha=\"0.01\", expect_size=\"32815104\"] \n  10 -> 11 [size =\"32815104\"]\n  11 [size=\"78192640\", alpha=\"0.07\", expect_size=\"23457792\"] \n  11 -> 12 [size =\"23457792\"]\n  12 [size=\"60829013\", alpha=\"0.05\", expect_size=\"18248704\"] \n  12 -> 13 [size =\"18248704\"]\n  12 -> 14 [size =\"18248704\"]\n  13 [size=\"161553067\", alpha=\"0.12\", expect_size=\"48465920\"] \n  13 -> 15 [size =\"48465920\"]\n  14 [size=\"119596373\", alpha=\"0.02\", expect_size=\"35878912\"] \n  14 -> 15 [size =\"35878912\"]\n  15 [size=\"107127467\", alpha=\"0.03\", expect_size=\"32138240\"] \n  15 -> 16 [size =\"32138240\"]\n  15 -> 17 [size =\"32138240\"]\n  16 [size=\"28573013\", alpha=\"0.05\", expect_size=\"8571904\"] \n  16 -> 18 [size =\"8571904\"]\n  16 -> 19 [size =\"8571904\"]\n  17 [size=\"135929173\", alpha=\"0.20\", expect_size=\"40778752\"] \n  17 -> 18 [size =\"40778752\"]\n  18 [size=\"103058773\", alpha=\"0.08\", expect_size=\"30917632\"] \n  18 -> 20 [size =\"30917632\"]\n  19 [size=\"117725867\", alpha=\"0.14\", expect_size=\"35317760\"] \n  19 -> 20 [size =\"35317760\"]\n  20 [size=\"85043200\", alpha=\"0.12\", expect_size=\"25512960\"] \n  20 -> 21 [size =\"25512960\"]\n  21 [size=\"93419520\", alpha=\"0.09\", expect_size=\"28025856\"] \n  21 -> 22 [size =\"28025856\"]\n  21 -> 23 [size =\"28025856\"]\n  22 [size=\"145913173\", alpha=\"0.02\", expect_size=\"43773952\"] \n  22 -> 24 [size =\"43773952\"]\n  22 -> 25 [size =\"43773952\"]\n  23 [size=\"28303360\", alpha=\"0.07\", expect_size=\"8491008\"] \n  23 -> 24 [size =\"8491008\"]\n  23 -> 25 [size =\"8491008\"]\n  24 [size=\"126423040\", alpha=\"0.17\", expect_size=\"37926912\"] \n  24 -> 26 [size =\"37926912\"]\n  25 [size=\"141974187\", alpha=\"0.15\", expect_size=\"42592256\"] \n  25 -> 26 [size =\"42592256\"]\n  26 [size=\"167495680\", alpha=\"0.18\", expect_size=\"50248704\"] \n  26 -> 27 [size =\"50248704\"]\n  26 -> 28 [size =\"50248704\"]\n  27 [size=\"47148373\", alpha=\"0.08\", expect_size=\"14144512\"] \n  27 -> 29 [size =\"14144512\"]\n  28 [size=\"43912533\", alpha=\"0.18\", expect_size=\"13173760\"] \n  29 [size=\"108165120\", alpha=\"0.12\", expect_size=\"32449536\"] \n  29 -> 30 [size =\"32449536\"]\n  30 [size=\"62382080\", alpha=\"0.18\", expect_size=\"18714624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26277888\", alpha=\"0.15\", expect_size=\"13138944\"] \n  1 -> 2 [size =\"13138944\"]\n  1 -> 3 [size =\"13138944\"]\n  2 [size=\"43982848\", alpha=\"0.10\", expect_size=\"21991424\"] \n  3 [size=\"13355008\", alpha=\"0.18\", expect_size=\"6677504\"] \n  3 -> 4 [size =\"6677504\"]\n  4 [size=\"43124736\", alpha=\"0.04\", expect_size=\"21562368\"] \n  4 -> 5 [size =\"21562368\"]\n  5 [size=\"64159744\", alpha=\"0.11\", expect_size=\"32079872\"] \n  5 -> 6 [size =\"32079872\"]\n  5 -> 7 [size =\"32079872\"]\n  6 [size=\"85354496\", alpha=\"0.04\", expect_size=\"42677248\"] \n  6 -> 8 [size =\"42677248\"]\n  7 [size=\"69642240\", alpha=\"0.12\", expect_size=\"34821120\"] \n  8 [size=\"20369408\", alpha=\"0.07\", expect_size=\"10184704\"] \n  8 -> 9 [size =\"10184704\"]\n  9 [size=\"46766080\", alpha=\"0.15\", expect_size=\"23383040\"] \n  9 -> 10 [size =\"23383040\"]\n  10 [size=\"88535040\", alpha=\"0.13\", expect_size=\"44267520\"] \n  10 -> 11 [size =\"44267520\"]\n  10 -> 12 [size =\"44267520\"]\n  11 [size=\"95342592\", alpha=\"0.16\", expect_size=\"47671296\"] \n  11 -> 13 [size =\"47671296\"]\n  11 -> 14 [size =\"47671296\"]\n  12 [size=\"71114752\", alpha=\"0.16\", expect_size=\"35557376\"] \n  12 -> 13 [size =\"35557376\"]\n  12 -> 14 [size =\"35557376\"]\n  13 [size=\"24586240\", alpha=\"0.03\", expect_size=\"12293120\"] \n  13 -> 16 [size =\"12293120\"]\n  14 [size=\"15527936\", alpha=\"0.20\", expect_size=\"7763968\"] \n  14 -> 15 [size =\"7763968\"]\n  15 [size=\"34699264\", alpha=\"0.16\", expect_size=\"17349632\"] \n  16 [size=\"85714944\", alpha=\"0.16\", expect_size=\"42857472\"] \n  16 -> 17 [size =\"42857472\"]\n  17 [size=\"102842368\", alpha=\"0.10\", expect_size=\"51421184\"] \n  17 -> 18 [size =\"51421184\"]\n  18 [size=\"67117056\", alpha=\"0.11\", expect_size=\"33558528\"] \n  18 -> 19 [size =\"33558528\"]\n  19 [size=\"101961728\", alpha=\"0.13\", expect_size=\"50980864\"] \n  19 -> 20 [size =\"50980864\"]\n  19 -> 21 [size =\"50980864\"]\n  20 [size=\"76906496\", alpha=\"0.07\", expect_size=\"38453248\"] \n  20 -> 22 [size =\"38453248\"]\n  21 [size=\"45344768\", alpha=\"0.04\", expect_size=\"22672384\"] \n  21 -> 22 [size =\"22672384\"]\n  22 [size=\"24475648\", alpha=\"0.08\", expect_size=\"12237824\"] \n  22 -> 23 [size =\"12237824\"]\n  23 [size=\"101515264\", alpha=\"0.12\", expect_size=\"50757632\"] \n  23 -> 24 [size =\"50757632\"]\n  24 [size=\"21323776\", alpha=\"0.04\", expect_size=\"10661888\"] \n  24 -> 25 [size =\"10661888\"]\n  25 [size=\"20584448\", alpha=\"0.07\", expect_size=\"10292224\"] \n  25 -> 26 [size =\"10292224\"]\n  25 -> 27 [size =\"10292224\"]\n  26 [size=\"93755392\", alpha=\"0.05\", expect_size=\"46877696\"] \n  26 -> 28 [size =\"46877696\"]\n  26 -> 29 [size =\"46877696\"]\n  27 [size=\"77012992\", alpha=\"0.17\", expect_size=\"38506496\"] \n  27 -> 28 [size =\"38506496\"]\n  28 [size=\"28672000\", alpha=\"0.10\", expect_size=\"14336000\"] \n  28 -> 30 [size =\"14336000\"]\n  29 [size=\"80330752\", alpha=\"0.11\", expect_size=\"40165376\"] \n  29 -> 30 [size =\"40165376\"]\n  30 [size=\"47849472\", alpha=\"0.09\", expect_size=\"23924736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152043520\", alpha=\"0.10\", expect_size=\"45613056\"] \n  1 -> 9 [size =\"45613056\"]\n  1 -> 9 [size =\"45613056\"]\n  2 [size=\"117910187\", alpha=\"0.06\", expect_size=\"35373056\"] \n  2 -> 7 [size =\"35373056\"]\n  2 -> 8 [size =\"35373056\"]\n  3 [size=\"96109227\", alpha=\"0.14\", expect_size=\"28832768\"] \n  3 -> 6 [size =\"28832768\"]\n  3 -> 7 [size =\"28832768\"]\n  4 [size=\"82623147\", alpha=\"0.17\", expect_size=\"24786944\"] \n  4 -> 8 [size =\"24786944\"]\n  5 [size=\"158262613\", alpha=\"0.04\", expect_size=\"47478784\"] \n  5 -> 7 [size =\"47478784\"]\n  5 -> 9 [size =\"47478784\"]\n  6 [size=\"108059307\", alpha=\"0.14\", expect_size=\"32417792\"] \n  6 -> 10 [size =\"32417792\"]\n  6 -> 11 [size =\"32417792\"]\n  6 -> 15 [size =\"32417792\"]\n  7 [size=\"145974613\", alpha=\"0.18\", expect_size=\"43792384\"] \n  7 -> 11 [size =\"43792384\"]\n  8 [size=\"51988480\", alpha=\"0.03\", expect_size=\"15596544\"] \n  8 -> 10 [size =\"15596544\"]\n  8 -> 12 [size =\"15596544\"]\n  8 -> 13 [size =\"15596544\"]\n  8 -> 14 [size =\"15596544\"]\n  9 [size=\"135792640\", alpha=\"0.01\", expect_size=\"40737792\"] \n  10 [size=\"35734187\", alpha=\"0.07\", expect_size=\"10720256\"] \n  10 -> 16 [size =\"10720256\"]\n  10 -> 17 [size =\"10720256\"]\n  10 -> 18 [size =\"10720256\"]\n  10 -> 19 [size =\"10720256\"]\n  11 [size=\"27480747\", alpha=\"0.12\", expect_size=\"8244224\"] \n  11 -> 16 [size =\"8244224\"]\n  11 -> 18 [size =\"8244224\"]\n  12 [size=\"106748587\", alpha=\"0.17\", expect_size=\"32024576\"] \n  12 -> 16 [size =\"32024576\"]\n  12 -> 18 [size =\"32024576\"]\n  12 -> 19 [size =\"32024576\"]\n  13 [size=\"151094613\", alpha=\"0.02\", expect_size=\"45328384\"] \n  14 [size=\"104024747\", alpha=\"0.10\", expect_size=\"31207424\"] \n  15 [size=\"77499733\", alpha=\"0.01\", expect_size=\"23249920\"] \n  16 [size=\"106369707\", alpha=\"0.18\", expect_size=\"31910912\"] \n  16 -> 20 [size =\"31910912\"]\n  16 -> 21 [size =\"31910912\"]\n  16 -> 24 [size =\"31910912\"]\n  17 [size=\"60160000\", alpha=\"0.08\", expect_size=\"18048000\"] \n  17 -> 20 [size =\"18048000\"]\n  17 -> 23 [size =\"18048000\"]\n  18 [size=\"44840960\", alpha=\"0.17\", expect_size=\"13452288\"] \n  18 -> 22 [size =\"13452288\"]\n  19 [size=\"67143680\", alpha=\"0.13\", expect_size=\"20143104\"] \n  19 -> 21 [size =\"20143104\"]\n  20 [size=\"74615467\", alpha=\"0.05\", expect_size=\"22384640\"] \n  20 -> 28 [size =\"22384640\"]\n  21 [size=\"126221653\", alpha=\"0.15\", expect_size=\"37866496\"] \n  21 -> 25 [size =\"37866496\"]\n  21 -> 26 [size =\"37866496\"]\n  21 -> 27 [size =\"37866496\"]\n  22 [size=\"60470613\", alpha=\"0.17\", expect_size=\"18141184\"] \n  22 -> 25 [size =\"18141184\"]\n  22 -> 27 [size =\"18141184\"]\n  22 -> 28 [size =\"18141184\"]\n  23 [size=\"36560213\", alpha=\"0.09\", expect_size=\"10968064\"] \n  23 -> 25 [size =\"10968064\"]\n  23 -> 26 [size =\"10968064\"]\n  23 -> 27 [size =\"10968064\"]\n  23 -> 28 [size =\"10968064\"]\n  24 [size=\"49421653\", alpha=\"0.10\", expect_size=\"14826496\"] \n  25 [size=\"124760747\", alpha=\"0.08\", expect_size=\"37428224\"] \n  26 [size=\"134004053\", alpha=\"0.18\", expect_size=\"40201216\"] \n  26 -> 29 [size =\"40201216\"]\n  27 [size=\"121275733\", alpha=\"0.04\", expect_size=\"36382720\"] \n  27 -> 30 [size =\"36382720\"]\n  28 [size=\"24036693\", alpha=\"0.15\", expect_size=\"7211008\"] \n  29 [size=\"157733547\", alpha=\"0.00\", expect_size=\"47320064\"] \n  30 [size=\"103239680\", alpha=\"0.08\", expect_size=\"30971904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66004480\", alpha=\"0.04\", expect_size=\"26401792\"] \n  2 [size=\"91082240\", alpha=\"0.12\", expect_size=\"36432896\"] \n  2 -> 6 [size =\"36432896\"]\n  2 -> 7 [size =\"36432896\"]\n  2 -> 8 [size =\"36432896\"]\n  2 -> 9 [size =\"36432896\"]\n  3 [size=\"25838080\", alpha=\"0.13\", expect_size=\"10335232\"] \n  3 -> 6 [size =\"10335232\"]\n  4 [size=\"105472000\", alpha=\"0.15\", expect_size=\"42188800\"] \n  4 -> 6 [size =\"42188800\"]\n  4 -> 7 [size =\"42188800\"]\n  4 -> 8 [size =\"42188800\"]\n  5 [size=\"39741440\", alpha=\"0.16\", expect_size=\"15896576\"] \n  5 -> 7 [size =\"15896576\"]\n  5 -> 8 [size =\"15896576\"]\n  6 [size=\"129925120\", alpha=\"0.04\", expect_size=\"51970048\"] \n  6 -> 11 [size =\"51970048\"]\n  6 -> 12 [size =\"51970048\"]\n  6 -> 13 [size =\"51970048\"]\n  7 [size=\"46896640\", alpha=\"0.06\", expect_size=\"18758656\"] \n  7 -> 10 [size =\"18758656\"]\n  7 -> 11 [size =\"18758656\"]\n  7 -> 12 [size =\"18758656\"]\n  7 -> 13 [size =\"18758656\"]\n  8 [size=\"121384960\", alpha=\"0.18\", expect_size=\"48553984\"] \n  8 -> 11 [size =\"48553984\"]\n  9 [size=\"92198400\", alpha=\"0.18\", expect_size=\"36879360\"] \n  9 -> 10 [size =\"36879360\"]\n  10 [size=\"93102080\", alpha=\"0.03\", expect_size=\"37240832\"] \n  11 [size=\"54635520\", alpha=\"0.20\", expect_size=\"21854208\"] \n  11 -> 15 [size =\"21854208\"]\n  11 -> 17 [size =\"21854208\"]\n  12 [size=\"75688960\", alpha=\"0.02\", expect_size=\"30275584\"] \n  12 -> 14 [size =\"30275584\"]\n  12 -> 16 [size =\"30275584\"]\n  13 [size=\"27397120\", alpha=\"0.16\", expect_size=\"10958848\"] \n  13 -> 15 [size =\"10958848\"]\n  14 [size=\"101388800\", alpha=\"0.05\", expect_size=\"40555520\"] \n  14 -> 19 [size =\"40555520\"]\n  14 -> 22 [size =\"40555520\"]\n  15 [size=\"69104640\", alpha=\"0.19\", expect_size=\"27641856\"] \n  15 -> 18 [size =\"27641856\"]\n  15 -> 19 [size =\"27641856\"]\n  15 -> 21 [size =\"27641856\"]\n  16 [size=\"45754880\", alpha=\"0.02\", expect_size=\"18301952\"] \n  16 -> 19 [size =\"18301952\"]\n  16 -> 20 [size =\"18301952\"]\n  16 -> 22 [size =\"18301952\"]\n  17 [size=\"66649600\", alpha=\"0.09\", expect_size=\"26659840\"] \n  17 -> 18 [size =\"26659840\"]\n  17 -> 22 [size =\"26659840\"]\n  18 [size=\"102899200\", alpha=\"0.02\", expect_size=\"41159680\"] \n  18 -> 23 [size =\"41159680\"]\n  19 [size=\"89886720\", alpha=\"0.17\", expect_size=\"35954688\"] \n  19 -> 24 [size =\"35954688\"]\n  19 -> 26 [size =\"35954688\"]\n  20 [size=\"78451200\", alpha=\"0.06\", expect_size=\"31380480\"] \n  20 -> 23 [size =\"31380480\"]\n  20 -> 25 [size =\"31380480\"]\n  21 [size=\"93560320\", alpha=\"0.04\", expect_size=\"37424128\"] \n  22 [size=\"93091840\", alpha=\"0.15\", expect_size=\"37236736\"] \n  22 -> 24 [size =\"37236736\"]\n  23 [size=\"103641600\", alpha=\"0.08\", expect_size=\"41456640\"] \n  23 -> 28 [size =\"41456640\"]\n  23 -> 29 [size =\"41456640\"]\n  24 [size=\"81297920\", alpha=\"0.17\", expect_size=\"32519168\"] \n  24 -> 30 [size =\"32519168\"]\n  25 [size=\"109739520\", alpha=\"0.11\", expect_size=\"43895808\"] \n  26 [size=\"106344960\", alpha=\"0.04\", expect_size=\"42537984\"] \n  26 -> 27 [size =\"42537984\"]\n  26 -> 28 [size =\"42537984\"]\n  26 -> 29 [size =\"42537984\"]\n  27 [size=\"115816960\", alpha=\"0.03\", expect_size=\"46326784\"] \n  28 [size=\"53324800\", alpha=\"0.01\", expect_size=\"21329920\"] \n  29 [size=\"62210560\", alpha=\"0.11\", expect_size=\"24884224\"] \n  30 [size=\"43765760\", alpha=\"0.16\", expect_size=\"17506304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21143552\", alpha=\"0.14\", expect_size=\"10571776\"] \n  1 -> 2 [size =\"10571776\"]\n  2 [size=\"79380480\", alpha=\"0.15\", expect_size=\"39690240\"] \n  2 -> 3 [size =\"39690240\"]\n  3 [size=\"47745024\", alpha=\"0.16\", expect_size=\"23872512\"] \n  3 -> 4 [size =\"23872512\"]\n  4 [size=\"45555712\", alpha=\"0.10\", expect_size=\"22777856\"] \n  4 -> 5 [size =\"22777856\"]\n  5 [size=\"84699136\", alpha=\"0.14\", expect_size=\"42349568\"] \n  5 -> 6 [size =\"42349568\"]\n  6 [size=\"103718912\", alpha=\"0.07\", expect_size=\"51859456\"] \n  6 -> 7 [size =\"51859456\"]\n  7 [size=\"52365312\", alpha=\"0.08\", expect_size=\"26182656\"] \n  7 -> 8 [size =\"26182656\"]\n  8 [size=\"87386112\", alpha=\"0.05\", expect_size=\"43693056\"] \n  8 -> 9 [size =\"43693056\"]\n  9 [size=\"72947712\", alpha=\"0.10\", expect_size=\"36473856\"] \n  9 -> 10 [size =\"36473856\"]\n  10 [size=\"101679104\", alpha=\"0.12\", expect_size=\"50839552\"] \n  10 -> 11 [size =\"50839552\"]\n  11 [size=\"28717056\", alpha=\"0.13\", expect_size=\"14358528\"] \n  11 -> 12 [size =\"14358528\"]\n  12 [size=\"96215040\", alpha=\"0.08\", expect_size=\"48107520\"] \n  12 -> 13 [size =\"48107520\"]\n  13 [size=\"73844736\", alpha=\"0.20\", expect_size=\"36922368\"] \n  13 -> 14 [size =\"36922368\"]\n  14 [size=\"54960128\", alpha=\"0.09\", expect_size=\"27480064\"] \n  14 -> 15 [size =\"27480064\"]\n  15 [size=\"100065280\", alpha=\"0.15\", expect_size=\"50032640\"] \n  15 -> 16 [size =\"50032640\"]\n  16 [size=\"70541312\", alpha=\"0.13\", expect_size=\"35270656\"] \n  16 -> 17 [size =\"35270656\"]\n  17 [size=\"101734400\", alpha=\"0.13\", expect_size=\"50867200\"] \n  17 -> 18 [size =\"50867200\"]\n  18 [size=\"42899456\", alpha=\"0.01\", expect_size=\"21449728\"] \n  18 -> 19 [size =\"21449728\"]\n  19 [size=\"68212736\", alpha=\"0.01\", expect_size=\"34106368\"] \n  19 -> 20 [size =\"34106368\"]\n  20 [size=\"21788672\", alpha=\"0.16\", expect_size=\"10894336\"] \n  20 -> 21 [size =\"10894336\"]\n  21 [size=\"78845952\", alpha=\"0.12\", expect_size=\"39422976\"] \n  21 -> 22 [size =\"39422976\"]\n  22 [size=\"47599616\", alpha=\"0.03\", expect_size=\"23799808\"] \n  22 -> 23 [size =\"23799808\"]\n  23 [size=\"83388416\", alpha=\"0.02\", expect_size=\"41694208\"] \n  23 -> 24 [size =\"41694208\"]\n  24 [size=\"81807360\", alpha=\"0.09\", expect_size=\"40903680\"] \n  24 -> 25 [size =\"40903680\"]\n  25 [size=\"28233728\", alpha=\"0.11\", expect_size=\"14116864\"] \n  25 -> 26 [size =\"14116864\"]\n  26 [size=\"101025792\", alpha=\"0.13\", expect_size=\"50512896\"] \n  26 -> 27 [size =\"50512896\"]\n  27 [size=\"68272128\", alpha=\"0.04\", expect_size=\"34136064\"] \n  27 -> 28 [size =\"34136064\"]\n  28 [size=\"34553856\", alpha=\"0.11\", expect_size=\"17276928\"] \n  28 -> 29 [size =\"17276928\"]\n  29 [size=\"38107136\", alpha=\"0.12\", expect_size=\"19053568\"] \n  29 -> 30 [size =\"19053568\"]\n  30 [size=\"44009472\", alpha=\"0.11\", expect_size=\"22004736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52230827\", alpha=\"0.18\", expect_size=\"15669248\"] \n  1 -> 20 [size =\"15669248\"]\n  1 -> 21 [size =\"15669248\"]\n  1 -> 23 [size =\"15669248\"]\n  1 -> 25 [size =\"15669248\"]\n  2 [size=\"33962667\", alpha=\"0.03\", expect_size=\"10188800\"] \n  2 -> 21 [size =\"10188800\"]\n  2 -> 23 [size =\"10188800\"]\n  2 -> 28 [size =\"10188800\"]\n  2 -> 30 [size =\"10188800\"]\n  3 [size=\"109636267\", alpha=\"0.14\", expect_size=\"32890880\"] \n  3 -> 21 [size =\"32890880\"]\n  3 -> 22 [size =\"32890880\"]\n  3 -> 25 [size =\"32890880\"]\n  3 -> 30 [size =\"32890880\"]\n  4 [size=\"54667947\", alpha=\"0.06\", expect_size=\"16400384\"] \n  4 -> 21 [size =\"16400384\"]\n  4 -> 22 [size =\"16400384\"]\n  4 -> 23 [size =\"16400384\"]\n  4 -> 25 [size =\"16400384\"]\n  4 -> 26 [size =\"16400384\"]\n  4 -> 28 [size =\"16400384\"]\n  5 [size=\"46158507\", alpha=\"0.00\", expect_size=\"13847552\"] \n  5 -> 20 [size =\"13847552\"]\n  5 -> 21 [size =\"13847552\"]\n  5 -> 23 [size =\"13847552\"]\n  5 -> 24 [size =\"13847552\"]\n  5 -> 26 [size =\"13847552\"]\n  5 -> 28 [size =\"13847552\"]\n  6 [size=\"171874987\", alpha=\"0.17\", expect_size=\"51562496\"] \n  6 -> 20 [size =\"51562496\"]\n  6 -> 21 [size =\"51562496\"]\n  6 -> 22 [size =\"51562496\"]\n  6 -> 24 [size =\"51562496\"]\n  6 -> 26 [size =\"51562496\"]\n  6 -> 27 [size =\"51562496\"]\n  6 -> 28 [size =\"51562496\"]\n  7 [size=\"98112853\", alpha=\"0.16\", expect_size=\"29433856\"] \n  7 -> 21 [size =\"29433856\"]\n  7 -> 23 [size =\"29433856\"]\n  7 -> 24 [size =\"29433856\"]\n  7 -> 26 [size =\"29433856\"]\n  7 -> 27 [size =\"29433856\"]\n  8 [size=\"109591893\", alpha=\"0.04\", expect_size=\"32877568\"] \n  8 -> 21 [size =\"32877568\"]\n  8 -> 23 [size =\"32877568\"]\n  8 -> 24 [size =\"32877568\"]\n  8 -> 25 [size =\"32877568\"]\n  8 -> 28 [size =\"32877568\"]\n  9 [size=\"130689707\", alpha=\"0.16\", expect_size=\"39206912\"] \n  9 -> 22 [size =\"39206912\"]\n  9 -> 23 [size =\"39206912\"]\n  9 -> 28 [size =\"39206912\"]\n  9 -> 29 [size =\"39206912\"]\n  10 [size=\"151118507\", alpha=\"0.19\", expect_size=\"45335552\"] \n  10 -> 22 [size =\"45335552\"]\n  10 -> 23 [size =\"45335552\"]\n  11 [size=\"121815040\", alpha=\"0.15\", expect_size=\"36544512\"] \n  11 -> 21 [size =\"36544512\"]\n  11 -> 25 [size =\"36544512\"]\n  11 -> 29 [size =\"36544512\"]\n  12 [size=\"108407467\", alpha=\"0.17\", expect_size=\"32522240\"] \n  12 -> 23 [size =\"32522240\"]\n  12 -> 26 [size =\"32522240\"]\n  12 -> 27 [size =\"32522240\"]\n  13 [size=\"128184320\", alpha=\"0.17\", expect_size=\"38455296\"] \n  13 -> 21 [size =\"38455296\"]\n  13 -> 22 [size =\"38455296\"]\n  13 -> 23 [size =\"38455296\"]\n  13 -> 24 [size =\"38455296\"]\n  13 -> 25 [size =\"38455296\"]\n  13 -> 27 [size =\"38455296\"]\n  14 [size=\"80285013\", alpha=\"0.11\", expect_size=\"24085504\"] \n  14 -> 21 [size =\"24085504\"]\n  14 -> 25 [size =\"24085504\"]\n  14 -> 26 [size =\"24085504\"]\n  15 [size=\"129174187\", alpha=\"0.00\", expect_size=\"38752256\"] \n  15 -> 24 [size =\"38752256\"]\n  15 -> 25 [size =\"38752256\"]\n  15 -> 26 [size =\"38752256\"]\n  15 -> 29 [size =\"38752256\"]\n  16 [size=\"129846613\", alpha=\"0.00\", expect_size=\"38953984\"] \n  16 -> 23 [size =\"38953984\"]\n  16 -> 24 [size =\"38953984\"]\n  16 -> 25 [size =\"38953984\"]\n  16 -> 26 [size =\"38953984\"]\n  16 -> 30 [size =\"38953984\"]\n  17 [size=\"108902400\", alpha=\"0.00\", expect_size=\"32670720\"] \n  17 -> 23 [size =\"32670720\"]\n  17 -> 24 [size =\"32670720\"]\n  17 -> 27 [size =\"32670720\"]\n  17 -> 30 [size =\"32670720\"]\n  18 [size=\"76468907\", alpha=\"0.02\", expect_size=\"22940672\"] \n  18 -> 21 [size =\"22940672\"]\n  18 -> 25 [size =\"22940672\"]\n  18 -> 28 [size =\"22940672\"]\n  19 [size=\"106994347\", alpha=\"0.04\", expect_size=\"32098304\"] \n  19 -> 20 [size =\"32098304\"]\n  19 -> 21 [size =\"32098304\"]\n  19 -> 23 [size =\"32098304\"]\n  19 -> 25 [size =\"32098304\"]\n  20 [size=\"71785813\", alpha=\"0.10\", expect_size=\"21535744\"] \n  21 [size=\"65392640\", alpha=\"0.01\", expect_size=\"19617792\"] \n  22 [size=\"25111893\", alpha=\"0.15\", expect_size=\"7533568\"] \n  23 [size=\"160000000\", alpha=\"0.20\", expect_size=\"48000000\"] \n  24 [size=\"139485867\", alpha=\"0.09\", expect_size=\"41845760\"] \n  25 [size=\"70154240\", alpha=\"0.03\", expect_size=\"21046272\"] \n  26 [size=\"72912213\", alpha=\"0.16\", expect_size=\"21873664\"] \n  27 [size=\"74175147\", alpha=\"0.19\", expect_size=\"22252544\"] \n  28 [size=\"76820480\", alpha=\"0.14\", expect_size=\"23046144\"] \n  29 [size=\"92607147\", alpha=\"0.03\", expect_size=\"27782144\"] \n  30 [size=\"120217600\", alpha=\"0.10\", expect_size=\"36065280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18905088\", alpha=\"0.03\", expect_size=\"9452544\"] \n  1 -> 2 [size =\"9452544\"]\n  2 [size=\"97302528\", alpha=\"0.09\", expect_size=\"48651264\"] \n  2 -> 3 [size =\"48651264\"]\n  3 [size=\"102211584\", alpha=\"0.03\", expect_size=\"51105792\"] \n  3 -> 4 [size =\"51105792\"]\n  4 [size=\"74256384\", alpha=\"0.18\", expect_size=\"37128192\"] \n  4 -> 5 [size =\"37128192\"]\n  5 [size=\"33558528\", alpha=\"0.06\", expect_size=\"16779264\"] \n  5 -> 6 [size =\"16779264\"]\n  6 [size=\"97355776\", alpha=\"0.04\", expect_size=\"48677888\"] \n  6 -> 7 [size =\"48677888\"]\n  7 [size=\"99526656\", alpha=\"0.18\", expect_size=\"49763328\"] \n  7 -> 8 [size =\"49763328\"]\n  8 [size=\"21485568\", alpha=\"0.12\", expect_size=\"10742784\"] \n  8 -> 9 [size =\"10742784\"]\n  9 [size=\"54226944\", alpha=\"0.16\", expect_size=\"27113472\"] \n  9 -> 10 [size =\"27113472\"]\n  10 [size=\"69554176\", alpha=\"0.05\", expect_size=\"34777088\"] \n  10 -> 11 [size =\"34777088\"]\n  11 [size=\"70047744\", alpha=\"0.03\", expect_size=\"35023872\"] \n  11 -> 12 [size =\"35023872\"]\n  12 [size=\"84264960\", alpha=\"0.09\", expect_size=\"42132480\"] \n  12 -> 13 [size =\"42132480\"]\n  13 [size=\"31424512\", alpha=\"0.02\", expect_size=\"15712256\"] \n  13 -> 14 [size =\"15712256\"]\n  14 [size=\"46860288\", alpha=\"0.09\", expect_size=\"23430144\"] \n  14 -> 15 [size =\"23430144\"]\n  15 [size=\"36194304\", alpha=\"0.16\", expect_size=\"18097152\"] \n  15 -> 16 [size =\"18097152\"]\n  16 [size=\"65624064\", alpha=\"0.11\", expect_size=\"32812032\"] \n  16 -> 17 [size =\"32812032\"]\n  17 [size=\"83697664\", alpha=\"0.03\", expect_size=\"41848832\"] \n  17 -> 18 [size =\"41848832\"]\n  18 [size=\"73900032\", alpha=\"0.08\", expect_size=\"36950016\"] \n  18 -> 19 [size =\"36950016\"]\n  19 [size=\"37279744\", alpha=\"0.04\", expect_size=\"18639872\"] \n  19 -> 20 [size =\"18639872\"]\n  20 [size=\"16855040\", alpha=\"0.19\", expect_size=\"8427520\"] \n  20 -> 21 [size =\"8427520\"]\n  21 [size=\"42018816\", alpha=\"0.16\", expect_size=\"21009408\"] \n  21 -> 22 [size =\"21009408\"]\n  22 [size=\"56459264\", alpha=\"0.12\", expect_size=\"28229632\"] \n  22 -> 23 [size =\"28229632\"]\n  23 [size=\"100624384\", alpha=\"0.07\", expect_size=\"50312192\"] \n  23 -> 24 [size =\"50312192\"]\n  24 [size=\"17885184\", alpha=\"0.16\", expect_size=\"8942592\"] \n  24 -> 25 [size =\"8942592\"]\n  25 [size=\"61775872\", alpha=\"0.10\", expect_size=\"30887936\"] \n  25 -> 26 [size =\"30887936\"]\n  26 [size=\"43421696\", alpha=\"0.02\", expect_size=\"21710848\"] \n  26 -> 27 [size =\"21710848\"]\n  27 [size=\"93532160\", alpha=\"0.13\", expect_size=\"46766080\"] \n  27 -> 28 [size =\"46766080\"]\n  28 [size=\"12613632\", alpha=\"0.06\", expect_size=\"6306816\"] \n  28 -> 29 [size =\"6306816\"]\n  29 [size=\"48697344\", alpha=\"0.08\", expect_size=\"24348672\"] \n  29 -> 30 [size =\"24348672\"]\n  30 [size=\"65527808\", alpha=\"0.03\", expect_size=\"32763904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62636032\", alpha=\"0.01\", expect_size=\"31318016\"] \n  1 -> 3 [size =\"31318016\"]\n  1 -> 4 [size =\"31318016\"]\n  2 [size=\"87775232\", alpha=\"0.13\", expect_size=\"43887616\"] \n  2 -> 3 [size =\"43887616\"]\n  2 -> 4 [size =\"43887616\"]\n  3 [size=\"66222080\", alpha=\"0.03\", expect_size=\"33111040\"] \n  3 -> 6 [size =\"33111040\"]\n  4 [size=\"18386944\", alpha=\"0.14\", expect_size=\"9193472\"] \n  4 -> 5 [size =\"9193472\"]\n  4 -> 6 [size =\"9193472\"]\n  5 [size=\"23244800\", alpha=\"0.06\", expect_size=\"11622400\"] \n  5 -> 7 [size =\"11622400\"]\n  5 -> 8 [size =\"11622400\"]\n  6 [size=\"20637696\", alpha=\"0.17\", expect_size=\"10318848\"] \n  6 -> 8 [size =\"10318848\"]\n  7 [size=\"82788352\", alpha=\"0.09\", expect_size=\"41394176\"] \n  7 -> 9 [size =\"41394176\"]\n  7 -> 10 [size =\"41394176\"]\n  8 [size=\"65339392\", alpha=\"0.16\", expect_size=\"32669696\"] \n  8 -> 9 [size =\"32669696\"]\n  9 [size=\"41228288\", alpha=\"0.12\", expect_size=\"20614144\"] \n  10 [size=\"91369472\", alpha=\"0.08\", expect_size=\"45684736\"] \n  10 -> 11 [size =\"45684736\"]\n  10 -> 12 [size =\"45684736\"]\n  11 [size=\"20287488\", alpha=\"0.04\", expect_size=\"10143744\"] \n  11 -> 14 [size =\"10143744\"]\n  12 [size=\"23441408\", alpha=\"0.09\", expect_size=\"11720704\"] \n  12 -> 13 [size =\"11720704\"]\n  13 [size=\"82708480\", alpha=\"0.19\", expect_size=\"41354240\"] \n  13 -> 15 [size =\"41354240\"]\n  13 -> 16 [size =\"41354240\"]\n  14 [size=\"95797248\", alpha=\"0.17\", expect_size=\"47898624\"] \n  14 -> 15 [size =\"47898624\"]\n  14 -> 16 [size =\"47898624\"]\n  15 [size=\"65478656\", alpha=\"0.14\", expect_size=\"32739328\"] \n  15 -> 17 [size =\"32739328\"]\n  15 -> 18 [size =\"32739328\"]\n  16 [size=\"93921280\", alpha=\"0.09\", expect_size=\"46960640\"] \n  16 -> 17 [size =\"46960640\"]\n  16 -> 18 [size =\"46960640\"]\n  17 [size=\"81960960\", alpha=\"0.04\", expect_size=\"40980480\"] \n  17 -> 19 [size =\"40980480\"]\n  18 [size=\"29030400\", alpha=\"0.16\", expect_size=\"14515200\"] \n  18 -> 19 [size =\"14515200\"]\n  19 [size=\"104458240\", alpha=\"0.15\", expect_size=\"52229120\"] \n  19 -> 20 [size =\"52229120\"]\n  19 -> 21 [size =\"52229120\"]\n  20 [size=\"67205120\", alpha=\"0.18\", expect_size=\"33602560\"] \n  20 -> 22 [size =\"33602560\"]\n  21 [size=\"12015616\", alpha=\"0.12\", expect_size=\"6007808\"] \n  21 -> 22 [size =\"6007808\"]\n  22 [size=\"30328832\", alpha=\"0.02\", expect_size=\"15164416\"] \n  22 -> 23 [size =\"15164416\"]\n  22 -> 24 [size =\"15164416\"]\n  23 [size=\"71673856\", alpha=\"0.03\", expect_size=\"35836928\"] \n  23 -> 25 [size =\"35836928\"]\n  23 -> 26 [size =\"35836928\"]\n  24 [size=\"68057088\", alpha=\"0.07\", expect_size=\"34028544\"] \n  24 -> 25 [size =\"34028544\"]\n  24 -> 26 [size =\"34028544\"]\n  25 [size=\"53374976\", alpha=\"0.13\", expect_size=\"26687488\"] \n  25 -> 27 [size =\"26687488\"]\n  26 [size=\"22781952\", alpha=\"0.02\", expect_size=\"11390976\"] \n  27 [size=\"64698368\", alpha=\"0.05\", expect_size=\"32349184\"] \n  27 -> 28 [size =\"32349184\"]\n  27 -> 29 [size =\"32349184\"]\n  28 [size=\"84238336\", alpha=\"0.01\", expect_size=\"42119168\"] \n  29 [size=\"64012288\", alpha=\"0.03\", expect_size=\"32006144\"] \n  29 -> 30 [size =\"32006144\"]\n  30 [size=\"41156608\", alpha=\"0.02\", expect_size=\"20578304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99433813\", alpha=\"0.16\", expect_size=\"29830144\"] \n  1 -> 11 [size =\"29830144\"]\n  1 -> 17 [size =\"29830144\"]\n  1 -> 19 [size =\"29830144\"]\n  1 -> 19 [size =\"29830144\"]\n  2 [size=\"158808747\", alpha=\"0.10\", expect_size=\"47642624\"] \n  2 -> 10 [size =\"47642624\"]\n  2 -> 12 [size =\"47642624\"]\n  2 -> 15 [size =\"47642624\"]\n  2 -> 18 [size =\"47642624\"]\n  3 [size=\"136328533\", alpha=\"0.02\", expect_size=\"40898560\"] \n  3 -> 10 [size =\"40898560\"]\n  3 -> 12 [size =\"40898560\"]\n  3 -> 14 [size =\"40898560\"]\n  3 -> 15 [size =\"40898560\"]\n  3 -> 17 [size =\"40898560\"]\n  3 -> 19 [size =\"40898560\"]\n  4 [size=\"37246293\", alpha=\"0.04\", expect_size=\"11173888\"] \n  4 -> 10 [size =\"11173888\"]\n  4 -> 14 [size =\"11173888\"]\n  4 -> 14 [size =\"11173888\"]\n  4 -> 15 [size =\"11173888\"]\n  4 -> 17 [size =\"11173888\"]\n  5 [size=\"111725227\", alpha=\"0.03\", expect_size=\"33517568\"] \n  5 -> 10 [size =\"33517568\"]\n  5 -> 11 [size =\"33517568\"]\n  5 -> 13 [size =\"33517568\"]\n  5 -> 14 [size =\"33517568\"]\n  6 [size=\"71662933\", alpha=\"0.17\", expect_size=\"21498880\"] \n  6 -> 14 [size =\"21498880\"]\n  6 -> 16 [size =\"21498880\"]\n  7 [size=\"99092480\", alpha=\"0.09\", expect_size=\"29727744\"] \n  7 -> 14 [size =\"29727744\"]\n  7 -> 15 [size =\"29727744\"]\n  8 [size=\"30071467\", alpha=\"0.15\", expect_size=\"9021440\"] \n  8 -> 15 [size =\"9021440\"]\n  8 -> 17 [size =\"9021440\"]\n  8 -> 19 [size =\"9021440\"]\n  9 [size=\"150176427\", alpha=\"0.11\", expect_size=\"45052928\"] \n  9 -> 12 [size =\"45052928\"]\n  9 -> 15 [size =\"45052928\"]\n  9 -> 17 [size =\"45052928\"]\n  9 -> 19 [size =\"45052928\"]\n  10 [size=\"45725013\", alpha=\"0.02\", expect_size=\"13717504\"] \n  10 -> 26 [size =\"13717504\"]\n  10 -> 29 [size =\"13717504\"]\n  11 [size=\"78455467\", alpha=\"0.10\", expect_size=\"23536640\"] \n  11 -> 21 [size =\"23536640\"]\n  11 -> 22 [size =\"23536640\"]\n  11 -> 24 [size =\"23536640\"]\n  11 -> 26 [size =\"23536640\"]\n  11 -> 28 [size =\"23536640\"]\n  12 [size=\"44352853\", alpha=\"0.19\", expect_size=\"13305856\"] \n  12 -> 21 [size =\"13305856\"]\n  12 -> 22 [size =\"13305856\"]\n  12 -> 24 [size =\"13305856\"]\n  12 -> 25 [size =\"13305856\"]\n  12 -> 27 [size =\"13305856\"]\n  12 -> 29 [size =\"13305856\"]\n  13 [size=\"126760960\", alpha=\"0.03\", expect_size=\"38028288\"] \n  13 -> 21 [size =\"38028288\"]\n  13 -> 25 [size =\"38028288\"]\n  13 -> 27 [size =\"38028288\"]\n  13 -> 28 [size =\"38028288\"]\n  13 -> 29 [size =\"38028288\"]\n  14 [size=\"142820693\", alpha=\"0.06\", expect_size=\"42846208\"] \n  14 -> 21 [size =\"42846208\"]\n  14 -> 24 [size =\"42846208\"]\n  14 -> 25 [size =\"42846208\"]\n  14 -> 27 [size =\"42846208\"]\n  14 -> 28 [size =\"42846208\"]\n  15 [size=\"20370773\", alpha=\"0.17\", expect_size=\"6111232\"] \n  15 -> 20 [size =\"6111232\"]\n  15 -> 24 [size =\"6111232\"]\n  15 -> 28 [size =\"6111232\"]\n  16 [size=\"44950187\", alpha=\"0.06\", expect_size=\"13485056\"] \n  16 -> 20 [size =\"13485056\"]\n  16 -> 21 [size =\"13485056\"]\n  16 -> 22 [size =\"13485056\"]\n  16 -> 25 [size =\"13485056\"]\n  16 -> 28 [size =\"13485056\"]\n  17 [size=\"20063573\", alpha=\"0.12\", expect_size=\"6019072\"] \n  17 -> 24 [size =\"6019072\"]\n  17 -> 26 [size =\"6019072\"]\n  17 -> 28 [size =\"6019072\"]\n  17 -> 29 [size =\"6019072\"]\n  18 [size=\"93989547\", alpha=\"0.02\", expect_size=\"28196864\"] \n  18 -> 20 [size =\"28196864\"]\n  18 -> 24 [size =\"28196864\"]\n  18 -> 29 [size =\"28196864\"]\n  19 [size=\"55992320\", alpha=\"0.07\", expect_size=\"16797696\"] \n  19 -> 23 [size =\"16797696\"]\n  19 -> 24 [size =\"16797696\"]\n  19 -> 25 [size =\"16797696\"]\n  19 -> 29 [size =\"16797696\"]\n  20 [size=\"141711360\", alpha=\"0.08\", expect_size=\"42513408\"] \n  20 -> 30 [size =\"42513408\"]\n  21 [size=\"154818560\", alpha=\"0.19\", expect_size=\"46445568\"] \n  21 -> 30 [size =\"46445568\"]\n  22 [size=\"78503253\", alpha=\"0.08\", expect_size=\"23550976\"] \n  22 -> 30 [size =\"23550976\"]\n  23 [size=\"68382720\", alpha=\"0.12\", expect_size=\"20514816\"] \n  24 [size=\"91323733\", alpha=\"0.19\", expect_size=\"27397120\"] \n  24 -> 30 [size =\"27397120\"]\n  25 [size=\"135471787\", alpha=\"0.17\", expect_size=\"40641536\"] \n  26 [size=\"112080213\", alpha=\"0.03\", expect_size=\"33624064\"] \n  27 [size=\"159621120\", alpha=\"0.19\", expect_size=\"47886336\"] \n  28 [size=\"99792213\", alpha=\"0.16\", expect_size=\"29937664\"] \n  28 -> 30 [size =\"29937664\"]\n  29 [size=\"116162560\", alpha=\"0.11\", expect_size=\"34848768\"] \n  29 -> 30 [size =\"34848768\"]\n  30 [size=\"170315093\", alpha=\"0.09\", expect_size=\"51094528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145633280\", alpha=\"0.20\", expect_size=\"43689984\"] \n  1 -> 2 [size =\"43689984\"]\n  2 [size=\"83285333\", alpha=\"0.11\", expect_size=\"24985600\"] \n  2 -> 3 [size =\"24985600\"]\n  3 [size=\"80189440\", alpha=\"0.15\", expect_size=\"24056832\"] \n  3 -> 4 [size =\"24056832\"]\n  4 [size=\"145677653\", alpha=\"0.16\", expect_size=\"43703296\"] \n  4 -> 5 [size =\"43703296\"]\n  5 [size=\"159385600\", alpha=\"0.02\", expect_size=\"47815680\"] \n  5 -> 6 [size =\"47815680\"]\n  6 [size=\"153190400\", alpha=\"0.05\", expect_size=\"45957120\"] \n  6 -> 7 [size =\"45957120\"]\n  6 -> 8 [size =\"45957120\"]\n  7 [size=\"54251520\", alpha=\"0.02\", expect_size=\"16275456\"] \n  7 -> 9 [size =\"16275456\"]\n  8 [size=\"70905173\", alpha=\"0.14\", expect_size=\"21271552\"] \n  9 [size=\"68198400\", alpha=\"0.04\", expect_size=\"20459520\"] \n  9 -> 10 [size =\"20459520\"]\n  10 [size=\"139311787\", alpha=\"0.19\", expect_size=\"41793536\"] \n  10 -> 11 [size =\"41793536\"]\n  11 [size=\"61385387\", alpha=\"0.11\", expect_size=\"18415616\"] \n  11 -> 12 [size =\"18415616\"]\n  12 [size=\"57688747\", alpha=\"0.16\", expect_size=\"17306624\"] \n  12 -> 13 [size =\"17306624\"]\n  12 -> 14 [size =\"17306624\"]\n  13 [size=\"142800213\", alpha=\"0.05\", expect_size=\"42840064\"] \n  13 -> 15 [size =\"42840064\"]\n  14 [size=\"106455040\", alpha=\"0.19\", expect_size=\"31936512\"] \n  15 [size=\"74100053\", alpha=\"0.03\", expect_size=\"22230016\"] \n  15 -> 16 [size =\"22230016\"]\n  16 [size=\"91794773\", alpha=\"0.08\", expect_size=\"27538432\"] \n  16 -> 17 [size =\"27538432\"]\n  16 -> 18 [size =\"27538432\"]\n  17 [size=\"134707200\", alpha=\"0.03\", expect_size=\"40412160\"] \n  17 -> 19 [size =\"40412160\"]\n  18 [size=\"147916800\", alpha=\"0.04\", expect_size=\"44375040\"] \n  18 -> 20 [size =\"44375040\"]\n  19 [size=\"98484907\", alpha=\"0.02\", expect_size=\"29545472\"] \n  20 [size=\"127204693\", alpha=\"0.19\", expect_size=\"38161408\"] \n  20 -> 21 [size =\"38161408\"]\n  20 -> 22 [size =\"38161408\"]\n  21 [size=\"120104960\", alpha=\"0.13\", expect_size=\"36031488\"] \n  21 -> 23 [size =\"36031488\"]\n  22 [size=\"49401173\", alpha=\"0.15\", expect_size=\"14820352\"] \n  23 [size=\"172311893\", alpha=\"0.05\", expect_size=\"51693568\"] \n  23 -> 24 [size =\"51693568\"]\n  24 [size=\"57695573\", alpha=\"0.11\", expect_size=\"17308672\"] \n  24 -> 25 [size =\"17308672\"]\n  24 -> 26 [size =\"17308672\"]\n  25 [size=\"51179520\", alpha=\"0.16\", expect_size=\"15353856\"] \n  25 -> 27 [size =\"15353856\"]\n  26 [size=\"73461760\", alpha=\"0.17\", expect_size=\"22038528\"] \n  26 -> 28 [size =\"22038528\"]\n  27 [size=\"139274240\", alpha=\"0.03\", expect_size=\"41782272\"] \n  28 [size=\"165338453\", alpha=\"0.16\", expect_size=\"49601536\"] \n  28 -> 29 [size =\"49601536\"]\n  28 -> 30 [size =\"49601536\"]\n  29 [size=\"42584747\", alpha=\"0.16\", expect_size=\"12775424\"] \n  30 [size=\"58204160\", alpha=\"0.11\", expect_size=\"17461248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54792192\", alpha=\"0.02\", expect_size=\"27396096\"] \n  1 -> 3 [size =\"27396096\"]\n  2 [size=\"100409344\", alpha=\"0.19\", expect_size=\"50204672\"] \n  2 -> 3 [size =\"50204672\"]\n  3 [size=\"74510336\", alpha=\"0.18\", expect_size=\"37255168\"] \n  3 -> 4 [size =\"37255168\"]\n  4 [size=\"87154688\", alpha=\"0.00\", expect_size=\"43577344\"] \n  4 -> 5 [size =\"43577344\"]\n  4 -> 6 [size =\"43577344\"]\n  5 [size=\"101419008\", alpha=\"0.08\", expect_size=\"50709504\"] \n  5 -> 7 [size =\"50709504\"]\n  6 [size=\"43098112\", alpha=\"0.18\", expect_size=\"21549056\"] \n  6 -> 7 [size =\"21549056\"]\n  7 [size=\"47099904\", alpha=\"0.14\", expect_size=\"23549952\"] \n  7 -> 8 [size =\"23549952\"]\n  8 [size=\"98668544\", alpha=\"0.19\", expect_size=\"49334272\"] \n  8 -> 9 [size =\"49334272\"]\n  9 [size=\"16812032\", alpha=\"0.18\", expect_size=\"8406016\"] \n  9 -> 10 [size =\"8406016\"]\n  10 [size=\"27781120\", alpha=\"0.12\", expect_size=\"13890560\"] \n  10 -> 11 [size =\"13890560\"]\n  11 [size=\"38686720\", alpha=\"0.00\", expect_size=\"19343360\"] \n  11 -> 12 [size =\"19343360\"]\n  12 [size=\"46491648\", alpha=\"0.12\", expect_size=\"23245824\"] \n  12 -> 13 [size =\"23245824\"]\n  12 -> 14 [size =\"23245824\"]\n  13 [size=\"39962624\", alpha=\"0.03\", expect_size=\"19981312\"] \n  13 -> 15 [size =\"19981312\"]\n  13 -> 16 [size =\"19981312\"]\n  14 [size=\"30416896\", alpha=\"0.05\", expect_size=\"15208448\"] \n  14 -> 15 [size =\"15208448\"]\n  14 -> 16 [size =\"15208448\"]\n  15 [size=\"32647168\", alpha=\"0.04\", expect_size=\"16323584\"] \n  15 -> 17 [size =\"16323584\"]\n  16 [size=\"72118272\", alpha=\"0.03\", expect_size=\"36059136\"] \n  16 -> 17 [size =\"36059136\"]\n  16 -> 18 [size =\"36059136\"]\n  17 [size=\"63928320\", alpha=\"0.07\", expect_size=\"31964160\"] \n  17 -> 19 [size =\"31964160\"]\n  18 [size=\"35153920\", alpha=\"0.08\", expect_size=\"17576960\"] \n  19 [size=\"28819456\", alpha=\"0.03\", expect_size=\"14409728\"] \n  19 -> 20 [size =\"14409728\"]\n  20 [size=\"19884032\", alpha=\"0.09\", expect_size=\"9942016\"] \n  20 -> 21 [size =\"9942016\"]\n  20 -> 22 [size =\"9942016\"]\n  21 [size=\"75118592\", alpha=\"0.05\", expect_size=\"37559296\"] \n  21 -> 24 [size =\"37559296\"]\n  22 [size=\"77371392\", alpha=\"0.19\", expect_size=\"38685696\"] \n  22 -> 23 [size =\"38685696\"]\n  22 -> 24 [size =\"38685696\"]\n  23 [size=\"37666816\", alpha=\"0.07\", expect_size=\"18833408\"] \n  24 [size=\"49762304\", alpha=\"0.11\", expect_size=\"24881152\"] \n  24 -> 25 [size =\"24881152\"]\n  25 [size=\"71835648\", alpha=\"0.15\", expect_size=\"35917824\"] \n  25 -> 26 [size =\"35917824\"]\n  25 -> 27 [size =\"35917824\"]\n  26 [size=\"90058752\", alpha=\"0.05\", expect_size=\"45029376\"] \n  26 -> 29 [size =\"45029376\"]\n  27 [size=\"11165696\", alpha=\"0.03\", expect_size=\"5582848\"] \n  27 -> 28 [size =\"5582848\"]\n  27 -> 29 [size =\"5582848\"]\n  28 [size=\"42901504\", alpha=\"0.00\", expect_size=\"21450752\"] \n  28 -> 30 [size =\"21450752\"]\n  29 [size=\"82851840\", alpha=\"0.18\", expect_size=\"41425920\"] \n  29 -> 30 [size =\"41425920\"]\n  30 [size=\"98291712\", alpha=\"0.00\", expect_size=\"49145856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56033280\", alpha=\"0.05\", expect_size=\"16809984\"] \n  1 -> 17 [size =\"16809984\"]\n  1 -> 19 [size =\"16809984\"]\n  1 -> 20 [size =\"16809984\"]\n  1 -> 21 [size =\"16809984\"]\n  1 -> 23 [size =\"16809984\"]\n  1 -> 24 [size =\"16809984\"]\n  1 -> 27 [size =\"16809984\"]\n  1 -> 29 [size =\"16809984\"]\n  2 [size=\"144930133\", alpha=\"0.11\", expect_size=\"43479040\"] \n  2 -> 18 [size =\"43479040\"]\n  2 -> 19 [size =\"43479040\"]\n  2 -> 20 [size =\"43479040\"]\n  2 -> 21 [size =\"43479040\"]\n  2 -> 25 [size =\"43479040\"]\n  2 -> 26 [size =\"43479040\"]\n  2 -> 27 [size =\"43479040\"]\n  2 -> 29 [size =\"43479040\"]\n  3 [size=\"39123627\", alpha=\"0.06\", expect_size=\"11737088\"] \n  3 -> 18 [size =\"11737088\"]\n  3 -> 19 [size =\"11737088\"]\n  3 -> 21 [size =\"11737088\"]\n  3 -> 24 [size =\"11737088\"]\n  3 -> 25 [size =\"11737088\"]\n  4 [size=\"72789333\", alpha=\"0.16\", expect_size=\"21836800\"] \n  4 -> 19 [size =\"21836800\"]\n  4 -> 19 [size =\"21836800\"]\n  4 -> 21 [size =\"21836800\"]\n  4 -> 26 [size =\"21836800\"]\n  4 -> 29 [size =\"21836800\"]\n  4 -> 30 [size =\"21836800\"]\n  5 [size=\"110899200\", alpha=\"0.16\", expect_size=\"33269760\"] \n  5 -> 17 [size =\"33269760\"]\n  5 -> 19 [size =\"33269760\"]\n  5 -> 22 [size =\"33269760\"]\n  5 -> 23 [size =\"33269760\"]\n  5 -> 25 [size =\"33269760\"]\n  5 -> 26 [size =\"33269760\"]\n  5 -> 29 [size =\"33269760\"]\n  6 [size=\"114845013\", alpha=\"0.10\", expect_size=\"34453504\"] \n  6 -> 19 [size =\"34453504\"]\n  6 -> 23 [size =\"34453504\"]\n  6 -> 26 [size =\"34453504\"]\n  6 -> 27 [size =\"34453504\"]\n  7 [size=\"132304213\", alpha=\"0.06\", expect_size=\"39691264\"] \n  7 -> 18 [size =\"39691264\"]\n  7 -> 23 [size =\"39691264\"]\n  7 -> 24 [size =\"39691264\"]\n  7 -> 26 [size =\"39691264\"]\n  7 -> 29 [size =\"39691264\"]\n  8 [size=\"141639680\", alpha=\"0.10\", expect_size=\"42491904\"] \n  8 -> 21 [size =\"42491904\"]\n  8 -> 22 [size =\"42491904\"]\n  8 -> 23 [size =\"42491904\"]\n  8 -> 24 [size =\"42491904\"]\n  8 -> 29 [size =\"42491904\"]\n  8 -> 30 [size =\"42491904\"]\n  9 [size=\"66010453\", alpha=\"0.04\", expect_size=\"19803136\"] \n  9 -> 18 [size =\"19803136\"]\n  9 -> 19 [size =\"19803136\"]\n  9 -> 22 [size =\"19803136\"]\n  9 -> 23 [size =\"19803136\"]\n  9 -> 24 [size =\"19803136\"]\n  9 -> 26 [size =\"19803136\"]\n  9 -> 27 [size =\"19803136\"]\n  9 -> 29 [size =\"19803136\"]\n  10 [size=\"92566187\", alpha=\"0.09\", expect_size=\"27769856\"] \n  10 -> 18 [size =\"27769856\"]\n  10 -> 19 [size =\"27769856\"]\n  10 -> 22 [size =\"27769856\"]\n  10 -> 23 [size =\"27769856\"]\n  10 -> 24 [size =\"27769856\"]\n  10 -> 26 [size =\"27769856\"]\n  10 -> 27 [size =\"27769856\"]\n  10 -> 28 [size =\"27769856\"]\n  10 -> 30 [size =\"27769856\"]\n  11 [size=\"162129920\", alpha=\"0.09\", expect_size=\"48638976\"] \n  11 -> 21 [size =\"48638976\"]\n  11 -> 23 [size =\"48638976\"]\n  11 -> 27 [size =\"48638976\"]\n  11 -> 29 [size =\"48638976\"]\n  12 [size=\"44547413\", alpha=\"0.13\", expect_size=\"13364224\"] \n  12 -> 21 [size =\"13364224\"]\n  12 -> 22 [size =\"13364224\"]\n  12 -> 26 [size =\"13364224\"]\n  12 -> 27 [size =\"13364224\"]\n  13 [size=\"134645760\", alpha=\"0.00\", expect_size=\"40393728\"] \n  13 -> 18 [size =\"40393728\"]\n  13 -> 19 [size =\"40393728\"]\n  13 -> 21 [size =\"40393728\"]\n  13 -> 23 [size =\"40393728\"]\n  13 -> 24 [size =\"40393728\"]\n  13 -> 28 [size =\"40393728\"]\n  13 -> 29 [size =\"40393728\"]\n  14 [size=\"22408533\", alpha=\"0.14\", expect_size=\"6722560\"] \n  14 -> 19 [size =\"6722560\"]\n  14 -> 21 [size =\"6722560\"]\n  14 -> 24 [size =\"6722560\"]\n  14 -> 26 [size =\"6722560\"]\n  15 [size=\"152036693\", alpha=\"0.15\", expect_size=\"45611008\"] \n  15 -> 18 [size =\"45611008\"]\n  15 -> 21 [size =\"45611008\"]\n  15 -> 25 [size =\"45611008\"]\n  15 -> 28 [size =\"45611008\"]\n  15 -> 30 [size =\"45611008\"]\n  16 [size=\"122961920\", alpha=\"0.14\", expect_size=\"36888576\"] \n  16 -> 17 [size =\"36888576\"]\n  16 -> 18 [size =\"36888576\"]\n  16 -> 23 [size =\"36888576\"]\n  16 -> 25 [size =\"36888576\"]\n  16 -> 26 [size =\"36888576\"]\n  16 -> 28 [size =\"36888576\"]\n  16 -> 29 [size =\"36888576\"]\n  17 [size=\"41048747\", alpha=\"0.15\", expect_size=\"12314624\"] \n  18 [size=\"90569387\", alpha=\"0.12\", expect_size=\"27170816\"] \n  19 [size=\"165884587\", alpha=\"0.02\", expect_size=\"49765376\"] \n  20 [size=\"38727680\", alpha=\"0.12\", expect_size=\"11618304\"] \n  21 [size=\"110513493\", alpha=\"0.07\", expect_size=\"33154048\"] \n  22 [size=\"22350507\", alpha=\"0.18\", expect_size=\"6705152\"] \n  23 [size=\"126211413\", alpha=\"0.11\", expect_size=\"37863424\"] \n  24 [size=\"128631467\", alpha=\"0.12\", expect_size=\"38589440\"] \n  25 [size=\"83630080\", alpha=\"0.04\", expect_size=\"25089024\"] \n  26 [size=\"46448640\", alpha=\"0.09\", expect_size=\"13934592\"] \n  27 [size=\"153531733\", alpha=\"0.09\", expect_size=\"46059520\"] \n  28 [size=\"110400853\", alpha=\"0.04\", expect_size=\"33120256\"] \n  29 [size=\"47202987\", alpha=\"0.06\", expect_size=\"14160896\"] \n  30 [size=\"66085547\", alpha=\"0.17\", expect_size=\"19825664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33367040\", alpha=\"0.01\", expect_size=\"13346816\"] \n  1 -> 3 [size =\"13346816\"]\n  2 [size=\"113776640\", alpha=\"0.15\", expect_size=\"45510656\"] \n  2 -> 3 [size =\"45510656\"]\n  3 [size=\"123829760\", alpha=\"0.03\", expect_size=\"49531904\"] \n  3 -> 4 [size =\"49531904\"]\n  3 -> 5 [size =\"49531904\"]\n  4 [size=\"42577920\", alpha=\"0.08\", expect_size=\"17031168\"] \n  4 -> 6 [size =\"17031168\"]\n  5 [size=\"25561600\", alpha=\"0.00\", expect_size=\"10224640\"] \n  5 -> 6 [size =\"10224640\"]\n  6 [size=\"56012800\", alpha=\"0.14\", expect_size=\"22405120\"] \n  6 -> 7 [size =\"22405120\"]\n  6 -> 8 [size =\"22405120\"]\n  7 [size=\"86187520\", alpha=\"0.00\", expect_size=\"34475008\"] \n  8 [size=\"107870720\", alpha=\"0.09\", expect_size=\"43148288\"] \n  8 -> 9 [size =\"43148288\"]\n  9 [size=\"59143680\", alpha=\"0.03\", expect_size=\"23657472\"] \n  9 -> 10 [size =\"23657472\"]\n  9 -> 11 [size =\"23657472\"]\n  10 [size=\"77893120\", alpha=\"0.09\", expect_size=\"31157248\"] \n  10 -> 12 [size =\"31157248\"]\n  11 [size=\"123673600\", alpha=\"0.14\", expect_size=\"49469440\"] \n  11 -> 13 [size =\"49469440\"]\n  12 [size=\"129244160\", alpha=\"0.13\", expect_size=\"51697664\"] \n  12 -> 14 [size =\"51697664\"]\n  13 [size=\"99328000\", alpha=\"0.11\", expect_size=\"39731200\"] \n  13 -> 14 [size =\"39731200\"]\n  14 [size=\"114268160\", alpha=\"0.09\", expect_size=\"45707264\"] \n  14 -> 15 [size =\"45707264\"]\n  14 -> 16 [size =\"45707264\"]\n  15 [size=\"43371520\", alpha=\"0.09\", expect_size=\"17348608\"] \n  16 [size=\"46228480\", alpha=\"0.08\", expect_size=\"18491392\"] \n  16 -> 17 [size =\"18491392\"]\n  17 [size=\"127964160\", alpha=\"0.18\", expect_size=\"51185664\"] \n  17 -> 18 [size =\"51185664\"]\n  18 [size=\"128583680\", alpha=\"0.08\", expect_size=\"51433472\"] \n  18 -> 19 [size =\"51433472\"]\n  19 [size=\"62704640\", alpha=\"0.18\", expect_size=\"25081856\"] \n  19 -> 20 [size =\"25081856\"]\n  20 [size=\"78087680\", alpha=\"0.15\", expect_size=\"31235072\"] \n  20 -> 21 [size =\"31235072\"]\n  20 -> 22 [size =\"31235072\"]\n  21 [size=\"130723840\", alpha=\"0.14\", expect_size=\"52289536\"] \n  21 -> 23 [size =\"52289536\"]\n  21 -> 24 [size =\"52289536\"]\n  22 [size=\"93263360\", alpha=\"0.11\", expect_size=\"37305344\"] \n  22 -> 24 [size =\"37305344\"]\n  23 [size=\"50700800\", alpha=\"0.07\", expect_size=\"20280320\"] \n  23 -> 25 [size =\"20280320\"]\n  23 -> 26 [size =\"20280320\"]\n  24 [size=\"114332160\", alpha=\"0.07\", expect_size=\"45732864\"] \n  24 -> 25 [size =\"45732864\"]\n  25 [size=\"46658560\", alpha=\"0.10\", expect_size=\"18663424\"] \n  25 -> 27 [size =\"18663424\"]\n  26 [size=\"98885120\", alpha=\"0.20\", expect_size=\"39554048\"] \n  26 -> 27 [size =\"39554048\"]\n  27 [size=\"29227520\", alpha=\"0.02\", expect_size=\"11691008\"] \n  27 -> 28 [size =\"11691008\"]\n  28 [size=\"18567680\", alpha=\"0.00\", expect_size=\"7427072\"] \n  28 -> 29 [size =\"7427072\"]\n  29 [size=\"68303360\", alpha=\"0.07\", expect_size=\"27321344\"] \n  29 -> 30 [size =\"27321344\"]\n  30 [size=\"58332160\", alpha=\"0.04\", expect_size=\"23332864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67432960\", alpha=\"0.20\", expect_size=\"26973184\"] \n  1 -> 23 [size =\"26973184\"]\n  1 -> 27 [size =\"26973184\"]\n  2 [size=\"36628480\", alpha=\"0.15\", expect_size=\"14651392\"] \n  2 -> 22 [size =\"14651392\"]\n  2 -> 23 [size =\"14651392\"]\n  2 -> 25 [size =\"14651392\"]\n  2 -> 26 [size =\"14651392\"]\n  3 [size=\"115330560\", alpha=\"0.07\", expect_size=\"46132224\"] \n  3 -> 26 [size =\"46132224\"]\n  3 -> 27 [size =\"46132224\"]\n  4 [size=\"14008320\", alpha=\"0.11\", expect_size=\"5603328\"] \n  4 -> 22 [size =\"5603328\"]\n  4 -> 23 [size =\"5603328\"]\n  5 [size=\"80404480\", alpha=\"0.11\", expect_size=\"32161792\"] \n  5 -> 22 [size =\"32161792\"]\n  5 -> 26 [size =\"32161792\"]\n  5 -> 27 [size =\"32161792\"]\n  5 -> 28 [size =\"32161792\"]\n  6 [size=\"35315200\", alpha=\"0.03\", expect_size=\"14126080\"] \n  6 -> 26 [size =\"14126080\"]\n  6 -> 28 [size =\"14126080\"]\n  6 -> 30 [size =\"14126080\"]\n  7 [size=\"17128960\", alpha=\"0.13\", expect_size=\"6851584\"] \n  7 -> 27 [size =\"6851584\"]\n  7 -> 30 [size =\"6851584\"]\n  8 [size=\"106467840\", alpha=\"0.08\", expect_size=\"42587136\"] \n  8 -> 24 [size =\"42587136\"]\n  8 -> 25 [size =\"42587136\"]\n  8 -> 27 [size =\"42587136\"]\n  8 -> 30 [size =\"42587136\"]\n  9 [size=\"33000960\", alpha=\"0.12\", expect_size=\"13200384\"] \n  9 -> 22 [size =\"13200384\"]\n  9 -> 23 [size =\"13200384\"]\n  9 -> 25 [size =\"13200384\"]\n  9 -> 26 [size =\"13200384\"]\n  9 -> 30 [size =\"13200384\"]\n  10 [size=\"102515200\", alpha=\"0.06\", expect_size=\"41006080\"] \n  10 -> 22 [size =\"41006080\"]\n  10 -> 25 [size =\"41006080\"]\n  10 -> 26 [size =\"41006080\"]\n  10 -> 27 [size =\"41006080\"]\n  11 [size=\"114250240\", alpha=\"0.11\", expect_size=\"45700096\"] \n  11 -> 22 [size =\"45700096\"]\n  11 -> 24 [size =\"45700096\"]\n  11 -> 25 [size =\"45700096\"]\n  11 -> 27 [size =\"45700096\"]\n  12 [size=\"113592320\", alpha=\"0.05\", expect_size=\"45436928\"] \n  12 -> 22 [size =\"45436928\"]\n  12 -> 25 [size =\"45436928\"]\n  12 -> 27 [size =\"45436928\"]\n  13 [size=\"85268480\", alpha=\"0.19\", expect_size=\"34107392\"] \n  13 -> 22 [size =\"34107392\"]\n  13 -> 26 [size =\"34107392\"]\n  13 -> 27 [size =\"34107392\"]\n  14 [size=\"124500480\", alpha=\"0.05\", expect_size=\"49800192\"] \n  14 -> 22 [size =\"49800192\"]\n  14 -> 26 [size =\"49800192\"]\n  14 -> 27 [size =\"49800192\"]\n  14 -> 28 [size =\"49800192\"]\n  14 -> 29 [size =\"49800192\"]\n  15 [size=\"70366720\", alpha=\"0.13\", expect_size=\"28146688\"] \n  15 -> 22 [size =\"28146688\"]\n  15 -> 24 [size =\"28146688\"]\n  15 -> 25 [size =\"28146688\"]\n  15 -> 27 [size =\"28146688\"]\n  15 -> 28 [size =\"28146688\"]\n  16 [size=\"17674240\", alpha=\"0.07\", expect_size=\"7069696\"] \n  16 -> 22 [size =\"7069696\"]\n  16 -> 24 [size =\"7069696\"]\n  16 -> 26 [size =\"7069696\"]\n  16 -> 29 [size =\"7069696\"]\n  17 [size=\"34252800\", alpha=\"0.02\", expect_size=\"13701120\"] \n  17 -> 22 [size =\"13701120\"]\n  17 -> 23 [size =\"13701120\"]\n  17 -> 24 [size =\"13701120\"]\n  17 -> 28 [size =\"13701120\"]\n  18 [size=\"110074880\", alpha=\"0.19\", expect_size=\"44029952\"] \n  18 -> 22 [size =\"44029952\"]\n  18 -> 24 [size =\"44029952\"]\n  18 -> 27 [size =\"44029952\"]\n  18 -> 28 [size =\"44029952\"]\n  19 [size=\"41162240\", alpha=\"0.15\", expect_size=\"16464896\"] \n  19 -> 28 [size =\"16464896\"]\n  20 [size=\"110182400\", alpha=\"0.15\", expect_size=\"44072960\"] \n  20 -> 23 [size =\"44072960\"]\n  20 -> 25 [size =\"44072960\"]\n  20 -> 30 [size =\"44072960\"]\n  21 [size=\"26152960\", alpha=\"0.03\", expect_size=\"10461184\"] \n  21 -> 24 [size =\"10461184\"]\n  21 -> 25 [size =\"10461184\"]\n  21 -> 26 [size =\"10461184\"]\n  21 -> 27 [size =\"10461184\"]\n  22 [size=\"91763200\", alpha=\"0.16\", expect_size=\"36705280\"] \n  23 [size=\"118548480\", alpha=\"0.06\", expect_size=\"47419392\"] \n  24 [size=\"110041600\", alpha=\"0.16\", expect_size=\"44016640\"] \n  25 [size=\"20392960\", alpha=\"0.18\", expect_size=\"8157184\"] \n  26 [size=\"95692800\", alpha=\"0.03\", expect_size=\"38277120\"] \n  27 [size=\"17907200\", alpha=\"0.09\", expect_size=\"7162880\"] \n  28 [size=\"31723520\", alpha=\"0.11\", expect_size=\"12689408\"] \n  29 [size=\"22937600\", alpha=\"0.17\", expect_size=\"9175040\"] \n  30 [size=\"111459840\", alpha=\"0.17\", expect_size=\"44583936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67904000\", alpha=\"0.08\", expect_size=\"27161600\"] \n  1 -> 2 [size =\"27161600\"]\n  2 [size=\"18831360\", alpha=\"0.05\", expect_size=\"7532544\"] \n  2 -> 3 [size =\"7532544\"]\n  3 [size=\"57274880\", alpha=\"0.14\", expect_size=\"22909952\"] \n  3 -> 4 [size =\"22909952\"]\n  4 [size=\"103930880\", alpha=\"0.14\", expect_size=\"41572352\"] \n  4 -> 5 [size =\"41572352\"]\n  4 -> 6 [size =\"41572352\"]\n  5 [size=\"35397120\", alpha=\"0.16\", expect_size=\"14158848\"] \n  5 -> 8 [size =\"14158848\"]\n  6 [size=\"83576320\", alpha=\"0.08\", expect_size=\"33430528\"] \n  6 -> 7 [size =\"33430528\"]\n  6 -> 8 [size =\"33430528\"]\n  7 [size=\"129886720\", alpha=\"0.08\", expect_size=\"51954688\"] \n  7 -> 9 [size =\"51954688\"]\n  8 [size=\"114534400\", alpha=\"0.15\", expect_size=\"45813760\"] \n  9 [size=\"128048640\", alpha=\"0.06\", expect_size=\"51219456\"] \n  9 -> 10 [size =\"51219456\"]\n  9 -> 11 [size =\"51219456\"]\n  10 [size=\"106516480\", alpha=\"0.00\", expect_size=\"42606592\"] \n  10 -> 12 [size =\"42606592\"]\n  11 [size=\"58019840\", alpha=\"0.14\", expect_size=\"23207936\"] \n  11 -> 13 [size =\"23207936\"]\n  12 [size=\"103498240\", alpha=\"0.05\", expect_size=\"41399296\"] \n  12 -> 14 [size =\"41399296\"]\n  12 -> 15 [size =\"41399296\"]\n  13 [size=\"17218560\", alpha=\"0.06\", expect_size=\"6887424\"] \n  14 [size=\"101862400\", alpha=\"0.04\", expect_size=\"40744960\"] \n  14 -> 16 [size =\"40744960\"]\n  15 [size=\"67778560\", alpha=\"0.11\", expect_size=\"27111424\"] \n  15 -> 17 [size =\"27111424\"]\n  16 [size=\"41569280\", alpha=\"0.14\", expect_size=\"16627712\"] \n  17 [size=\"91110400\", alpha=\"0.15\", expect_size=\"36444160\"] \n  17 -> 18 [size =\"36444160\"]\n  18 [size=\"20208640\", alpha=\"0.12\", expect_size=\"8083456\"] \n  18 -> 19 [size =\"8083456\"]\n  19 [size=\"106577920\", alpha=\"0.13\", expect_size=\"42631168\"] \n  19 -> 20 [size =\"42631168\"]\n  20 [size=\"22586880\", alpha=\"0.12\", expect_size=\"9034752\"] \n  20 -> 21 [size =\"9034752\"]\n  20 -> 22 [size =\"9034752\"]\n  21 [size=\"23459840\", alpha=\"0.20\", expect_size=\"9383936\"] \n  21 -> 23 [size =\"9383936\"]\n  21 -> 24 [size =\"9383936\"]\n  22 [size=\"104770560\", alpha=\"0.09\", expect_size=\"41908224\"] \n  22 -> 23 [size =\"41908224\"]\n  22 -> 24 [size =\"41908224\"]\n  23 [size=\"13529600\", alpha=\"0.06\", expect_size=\"5411840\"] \n  23 -> 26 [size =\"5411840\"]\n  24 [size=\"51146240\", alpha=\"0.18\", expect_size=\"20458496\"] \n  24 -> 25 [size =\"20458496\"]\n  24 -> 26 [size =\"20458496\"]\n  25 [size=\"75824640\", alpha=\"0.14\", expect_size=\"30329856\"] \n  25 -> 28 [size =\"30329856\"]\n  26 [size=\"19886080\", alpha=\"0.01\", expect_size=\"7954432\"] \n  26 -> 27 [size =\"7954432\"]\n  27 [size=\"103101440\", alpha=\"0.09\", expect_size=\"41240576\"] \n  27 -> 30 [size =\"41240576\"]\n  28 [size=\"71915520\", alpha=\"0.14\", expect_size=\"28766208\"] \n  28 -> 29 [size =\"28766208\"]\n  29 [size=\"26839040\", alpha=\"0.18\", expect_size=\"10735616\"] \n  30 [size=\"102955520\", alpha=\"0.18\", expect_size=\"41182208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64614400\", alpha=\"0.01\", expect_size=\"25845760\"] \n  1 -> 6 [size =\"25845760\"]\n  1 -> 7 [size =\"25845760\"]\n  1 -> 9 [size =\"25845760\"]\n  2 [size=\"115317760\", alpha=\"0.08\", expect_size=\"46127104\"] \n  2 -> 8 [size =\"46127104\"]\n  2 -> 10 [size =\"46127104\"]\n  3 [size=\"100820480\", alpha=\"0.05\", expect_size=\"40328192\"] \n  3 -> 10 [size =\"40328192\"]\n  4 [size=\"45475840\", alpha=\"0.09\", expect_size=\"18190336\"] \n  4 -> 9 [size =\"18190336\"]\n  5 [size=\"46346240\", alpha=\"0.10\", expect_size=\"18538496\"] \n  5 -> 7 [size =\"18538496\"]\n  5 -> 8 [size =\"18538496\"]\n  5 -> 9 [size =\"18538496\"]\n  5 -> 10 [size =\"18538496\"]\n  6 [size=\"65838080\", alpha=\"0.14\", expect_size=\"26335232\"] \n  6 -> 14 [size =\"26335232\"]\n  7 [size=\"110435840\", alpha=\"0.12\", expect_size=\"44174336\"] \n  8 [size=\"124718080\", alpha=\"0.19\", expect_size=\"49887232\"] \n  8 -> 12 [size =\"49887232\"]\n  8 -> 14 [size =\"49887232\"]\n  9 [size=\"81630720\", alpha=\"0.02\", expect_size=\"32652288\"] \n  9 -> 12 [size =\"32652288\"]\n  9 -> 13 [size =\"32652288\"]\n  10 [size=\"87226880\", alpha=\"0.04\", expect_size=\"34890752\"] \n  10 -> 11 [size =\"34890752\"]\n  11 [size=\"100587520\", alpha=\"0.05\", expect_size=\"40235008\"] \n  11 -> 15 [size =\"40235008\"]\n  11 -> 16 [size =\"40235008\"]\n  11 -> 17 [size =\"40235008\"]\n  11 -> 18 [size =\"40235008\"]\n  12 [size=\"105024000\", alpha=\"0.09\", expect_size=\"42009600\"] \n  13 [size=\"36042240\", alpha=\"0.19\", expect_size=\"14416896\"] \n  14 [size=\"63690240\", alpha=\"0.14\", expect_size=\"25476096\"] \n  15 [size=\"119429120\", alpha=\"0.00\", expect_size=\"47771648\"] \n  15 -> 19 [size =\"47771648\"]\n  15 -> 22 [size =\"47771648\"]\n  15 -> 23 [size =\"47771648\"]\n  16 [size=\"59320320\", alpha=\"0.06\", expect_size=\"23728128\"] \n  16 -> 19 [size =\"23728128\"]\n  16 -> 22 [size =\"23728128\"]\n  17 [size=\"26677760\", alpha=\"0.06\", expect_size=\"10671104\"] \n  17 -> 19 [size =\"10671104\"]\n  17 -> 20 [size =\"10671104\"]\n  17 -> 21 [size =\"10671104\"]\n  17 -> 22 [size =\"10671104\"]\n  17 -> 23 [size =\"10671104\"]\n  18 [size=\"97781760\", alpha=\"0.06\", expect_size=\"39112704\"] \n  18 -> 21 [size =\"39112704\"]\n  18 -> 23 [size =\"39112704\"]\n  19 [size=\"90193920\", alpha=\"0.01\", expect_size=\"36077568\"] \n  19 -> 27 [size =\"36077568\"]\n  20 [size=\"102632960\", alpha=\"0.10\", expect_size=\"41053184\"] \n  20 -> 25 [size =\"41053184\"]\n  20 -> 26 [size =\"41053184\"]\n  21 [size=\"124625920\", alpha=\"0.09\", expect_size=\"49850368\"] \n  21 -> 24 [size =\"49850368\"]\n  22 [size=\"38840320\", alpha=\"0.04\", expect_size=\"15536128\"] \n  22 -> 27 [size =\"15536128\"]\n  23 [size=\"89008640\", alpha=\"0.15\", expect_size=\"35603456\"] \n  23 -> 27 [size =\"35603456\"]\n  24 [size=\"84144640\", alpha=\"0.11\", expect_size=\"33657856\"] \n  25 [size=\"48732160\", alpha=\"0.13\", expect_size=\"19492864\"] \n  25 -> 28 [size =\"19492864\"]\n  25 -> 29 [size =\"19492864\"]\n  26 [size=\"50851840\", alpha=\"0.03\", expect_size=\"20340736\"] \n  26 -> 29 [size =\"20340736\"]\n  26 -> 30 [size =\"20340736\"]\n  27 [size=\"84723200\", alpha=\"0.10\", expect_size=\"33889280\"] \n  27 -> 28 [size =\"33889280\"]\n  27 -> 30 [size =\"33889280\"]\n  28 [size=\"118522880\", alpha=\"0.16\", expect_size=\"47409152\"] \n  29 [size=\"34703360\", alpha=\"0.14\", expect_size=\"13881344\"] \n  30 [size=\"39636480\", alpha=\"0.04\", expect_size=\"15854592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46282752\", alpha=\"0.19\", expect_size=\"23141376\"] \n  1 -> 18 [size =\"23141376\"]\n  2 [size=\"54179840\", alpha=\"0.02\", expect_size=\"27089920\"] \n  2 -> 17 [size =\"27089920\"]\n  2 -> 18 [size =\"27089920\"]\n  2 -> 19 [size =\"27089920\"]\n  2 -> 21 [size =\"27089920\"]\n  2 -> 28 [size =\"27089920\"]\n  2 -> 30 [size =\"27089920\"]\n  3 [size=\"39442432\", alpha=\"0.08\", expect_size=\"19721216\"] \n  3 -> 19 [size =\"19721216\"]\n  3 -> 21 [size =\"19721216\"]\n  3 -> 25 [size =\"19721216\"]\n  3 -> 29 [size =\"19721216\"]\n  4 [size=\"85829632\", alpha=\"0.09\", expect_size=\"42914816\"] \n  4 -> 18 [size =\"42914816\"]\n  4 -> 21 [size =\"42914816\"]\n  4 -> 24 [size =\"42914816\"]\n  4 -> 26 [size =\"42914816\"]\n  5 [size=\"57477120\", alpha=\"0.10\", expect_size=\"28738560\"] \n  5 -> 16 [size =\"28738560\"]\n  5 -> 26 [size =\"28738560\"]\n  5 -> 29 [size =\"28738560\"]\n  5 -> 30 [size =\"28738560\"]\n  6 [size=\"38410240\", alpha=\"0.19\", expect_size=\"19205120\"] \n  6 -> 16 [size =\"19205120\"]\n  6 -> 18 [size =\"19205120\"]\n  6 -> 25 [size =\"19205120\"]\n  6 -> 27 [size =\"19205120\"]\n  6 -> 29 [size =\"19205120\"]\n  7 [size=\"67596288\", alpha=\"0.05\", expect_size=\"33798144\"] \n  7 -> 23 [size =\"33798144\"]\n  7 -> 24 [size =\"33798144\"]\n  7 -> 27 [size =\"33798144\"]\n  7 -> 30 [size =\"33798144\"]\n  8 [size=\"81358848\", alpha=\"0.15\", expect_size=\"40679424\"] \n  8 -> 19 [size =\"40679424\"]\n  8 -> 27 [size =\"40679424\"]\n  8 -> 29 [size =\"40679424\"]\n  8 -> 30 [size =\"40679424\"]\n  9 [size=\"89339904\", alpha=\"0.16\", expect_size=\"44669952\"] \n  9 -> 16 [size =\"44669952\"]\n  9 -> 17 [size =\"44669952\"]\n  9 -> 30 [size =\"44669952\"]\n  10 [size=\"34582528\", alpha=\"0.18\", expect_size=\"17291264\"] \n  10 -> 16 [size =\"17291264\"]\n  10 -> 17 [size =\"17291264\"]\n  10 -> 18 [size =\"17291264\"]\n  10 -> 21 [size =\"17291264\"]\n  10 -> 23 [size =\"17291264\"]\n  10 -> 24 [size =\"17291264\"]\n  10 -> 25 [size =\"17291264\"]\n  11 [size=\"72486912\", alpha=\"0.14\", expect_size=\"36243456\"] \n  11 -> 16 [size =\"36243456\"]\n  11 -> 19 [size =\"36243456\"]\n  11 -> 22 [size =\"36243456\"]\n  11 -> 27 [size =\"36243456\"]\n  11 -> 29 [size =\"36243456\"]\n  12 [size=\"69076992\", alpha=\"0.15\", expect_size=\"34538496\"] \n  12 -> 19 [size =\"34538496\"]\n  12 -> 25 [size =\"34538496\"]\n  13 [size=\"80113664\", alpha=\"0.03\", expect_size=\"40056832\"] \n  13 -> 21 [size =\"40056832\"]\n  13 -> 25 [size =\"40056832\"]\n  13 -> 26 [size =\"40056832\"]\n  13 -> 27 [size =\"40056832\"]\n  14 [size=\"23943168\", alpha=\"0.13\", expect_size=\"11971584\"] \n  14 -> 16 [size =\"11971584\"]\n  14 -> 18 [size =\"11971584\"]\n  14 -> 21 [size =\"11971584\"]\n  14 -> 22 [size =\"11971584\"]\n  14 -> 26 [size =\"11971584\"]\n  15 [size=\"66541568\", alpha=\"0.05\", expect_size=\"33270784\"] \n  15 -> 16 [size =\"33270784\"]\n  15 -> 18 [size =\"33270784\"]\n  15 -> 19 [size =\"33270784\"]\n  15 -> 20 [size =\"33270784\"]\n  15 -> 21 [size =\"33270784\"]\n  15 -> 28 [size =\"33270784\"]\n  16 [size=\"19535872\", alpha=\"0.10\", expect_size=\"9767936\"] \n  17 [size=\"12990464\", alpha=\"0.04\", expect_size=\"6495232\"] \n  18 [size=\"37552128\", alpha=\"0.17\", expect_size=\"18776064\"] \n  19 [size=\"13473792\", alpha=\"0.04\", expect_size=\"6736896\"] \n  20 [size=\"90798080\", alpha=\"0.02\", expect_size=\"45399040\"] \n  21 [size=\"80236544\", alpha=\"0.08\", expect_size=\"40118272\"] \n  22 [size=\"53475328\", alpha=\"0.03\", expect_size=\"26737664\"] \n  23 [size=\"32165888\", alpha=\"0.04\", expect_size=\"16082944\"] \n  24 [size=\"46397440\", alpha=\"0.01\", expect_size=\"23198720\"] \n  25 [size=\"15396864\", alpha=\"0.07\", expect_size=\"7698432\"] \n  26 [size=\"38469632\", alpha=\"0.00\", expect_size=\"19234816\"] \n  27 [size=\"84690944\", alpha=\"0.05\", expect_size=\"42345472\"] \n  28 [size=\"103270400\", alpha=\"0.05\", expect_size=\"51635200\"] \n  29 [size=\"87973888\", alpha=\"0.02\", expect_size=\"43986944\"] \n  30 [size=\"14510080\", alpha=\"0.03\", expect_size=\"7255040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62665387\", alpha=\"0.05\", expect_size=\"18799616\"] \n  1 -> 21 [size =\"18799616\"]\n  1 -> 22 [size =\"18799616\"]\n  1 -> 29 [size =\"18799616\"]\n  2 [size=\"115862187\", alpha=\"0.00\", expect_size=\"34758656\"] \n  2 -> 24 [size =\"34758656\"]\n  2 -> 26 [size =\"34758656\"]\n  2 -> 29 [size =\"34758656\"]\n  3 [size=\"131256320\", alpha=\"0.09\", expect_size=\"39376896\"] \n  3 -> 25 [size =\"39376896\"]\n  4 [size=\"140820480\", alpha=\"0.02\", expect_size=\"42246144\"] \n  4 -> 26 [size =\"42246144\"]\n  4 -> 27 [size =\"42246144\"]\n  5 [size=\"91863040\", alpha=\"0.11\", expect_size=\"27558912\"] \n  5 -> 21 [size =\"27558912\"]\n  5 -> 22 [size =\"27558912\"]\n  5 -> 23 [size =\"27558912\"]\n  5 -> 27 [size =\"27558912\"]\n  5 -> 28 [size =\"27558912\"]\n  6 [size=\"110114133\", alpha=\"0.18\", expect_size=\"33034240\"] \n  6 -> 22 [size =\"33034240\"]\n  6 -> 24 [size =\"33034240\"]\n  7 [size=\"146865493\", alpha=\"0.17\", expect_size=\"44059648\"] \n  8 [size=\"153511253\", alpha=\"0.04\", expect_size=\"46053376\"] \n  8 -> 21 [size =\"46053376\"]\n  8 -> 26 [size =\"46053376\"]\n  8 -> 27 [size =\"46053376\"]\n  9 [size=\"169349120\", alpha=\"0.02\", expect_size=\"50804736\"] \n  9 -> 21 [size =\"50804736\"]\n  9 -> 25 [size =\"50804736\"]\n  9 -> 27 [size =\"50804736\"]\n  10 [size=\"127225173\", alpha=\"0.05\", expect_size=\"38167552\"] \n  10 -> 24 [size =\"38167552\"]\n  10 -> 25 [size =\"38167552\"]\n  11 [size=\"149422080\", alpha=\"0.11\", expect_size=\"44826624\"] \n  11 -> 21 [size =\"44826624\"]\n  11 -> 24 [size =\"44826624\"]\n  11 -> 25 [size =\"44826624\"]\n  11 -> 28 [size =\"44826624\"]\n  11 -> 29 [size =\"44826624\"]\n  12 [size=\"34013867\", alpha=\"0.13\", expect_size=\"10204160\"] \n  12 -> 21 [size =\"10204160\"]\n  12 -> 22 [size =\"10204160\"]\n  12 -> 25 [size =\"10204160\"]\n  12 -> 29 [size =\"10204160\"]\n  12 -> 29 [size =\"10204160\"]\n  13 [size=\"34396160\", alpha=\"0.16\", expect_size=\"10318848\"] \n  13 -> 24 [size =\"10318848\"]\n  13 -> 25 [size =\"10318848\"]\n  13 -> 25 [size =\"10318848\"]\n  13 -> 29 [size =\"10318848\"]\n  14 [size=\"102608213\", alpha=\"0.11\", expect_size=\"30782464\"] \n  14 -> 20 [size =\"30782464\"]\n  14 -> 22 [size =\"30782464\"]\n  14 -> 25 [size =\"30782464\"]\n  14 -> 26 [size =\"30782464\"]\n  14 -> 29 [size =\"30782464\"]\n  14 -> 30 [size =\"30782464\"]\n  15 [size=\"119487147\", alpha=\"0.10\", expect_size=\"35846144\"] \n  15 -> 21 [size =\"35846144\"]\n  15 -> 25 [size =\"35846144\"]\n  15 -> 27 [size =\"35846144\"]\n  15 -> 29 [size =\"35846144\"]\n  16 [size=\"48315733\", alpha=\"0.16\", expect_size=\"14494720\"] \n  16 -> 21 [size =\"14494720\"]\n  16 -> 22 [size =\"14494720\"]\n  16 -> 25 [size =\"14494720\"]\n  16 -> 27 [size =\"14494720\"]\n  16 -> 29 [size =\"14494720\"]\n  17 [size=\"35283627\", alpha=\"0.09\", expect_size=\"10585088\"] \n  17 -> 21 [size =\"10585088\"]\n  17 -> 22 [size =\"10585088\"]\n  17 -> 27 [size =\"10585088\"]\n  17 -> 27 [size =\"10585088\"]\n  18 [size=\"172110507\", alpha=\"0.05\", expect_size=\"51633152\"] \n  18 -> 21 [size =\"51633152\"]\n  18 -> 26 [size =\"51633152\"]\n  18 -> 27 [size =\"51633152\"]\n  18 -> 28 [size =\"51633152\"]\n  19 [size=\"43803307\", alpha=\"0.15\", expect_size=\"13140992\"] \n  19 -> 22 [size =\"13140992\"]\n  19 -> 23 [size =\"13140992\"]\n  19 -> 24 [size =\"13140992\"]\n  19 -> 26 [size =\"13140992\"]\n  19 -> 27 [size =\"13140992\"]\n  19 -> 29 [size =\"13140992\"]\n  20 [size=\"59330560\", alpha=\"0.10\", expect_size=\"17799168\"] \n  21 [size=\"97522347\", alpha=\"0.10\", expect_size=\"29256704\"] \n  22 [size=\"23872853\", alpha=\"0.03\", expect_size=\"7161856\"] \n  23 [size=\"129706667\", alpha=\"0.11\", expect_size=\"38912000\"] \n  24 [size=\"98853547\", alpha=\"0.14\", expect_size=\"29656064\"] \n  25 [size=\"24743253\", alpha=\"0.07\", expect_size=\"7422976\"] \n  26 [size=\"100416853\", alpha=\"0.12\", expect_size=\"30125056\"] \n  27 [size=\"70007467\", alpha=\"0.13\", expect_size=\"21002240\"] \n  28 [size=\"137202347\", alpha=\"0.11\", expect_size=\"41160704\"] \n  29 [size=\"20490240\", alpha=\"0.09\", expect_size=\"6147072\"] \n  30 [size=\"135164587\", alpha=\"0.00\", expect_size=\"40549376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32126293\", alpha=\"0.16\", expect_size=\"9637888\"] \n  1 -> 9 [size =\"9637888\"]\n  2 [size=\"167424000\", alpha=\"0.01\", expect_size=\"50227200\"] \n  2 -> 6 [size =\"50227200\"]\n  2 -> 8 [size =\"50227200\"]\n  2 -> 9 [size =\"50227200\"]\n  2 -> 10 [size =\"50227200\"]\n  2 -> 11 [size =\"50227200\"]\n  3 [size=\"50780160\", alpha=\"0.07\", expect_size=\"15234048\"] \n  3 -> 5 [size =\"15234048\"]\n  3 -> 7 [size =\"15234048\"]\n  3 -> 8 [size =\"15234048\"]\n  4 [size=\"82244267\", alpha=\"0.04\", expect_size=\"24673280\"] \n  4 -> 5 [size =\"24673280\"]\n  4 -> 6 [size =\"24673280\"]\n  4 -> 7 [size =\"24673280\"]\n  4 -> 10 [size =\"24673280\"]\n  4 -> 11 [size =\"24673280\"]\n  5 [size=\"134208853\", alpha=\"0.05\", expect_size=\"40262656\"] \n  5 -> 15 [size =\"40262656\"]\n  5 -> 17 [size =\"40262656\"]\n  6 [size=\"139731627\", alpha=\"0.06\", expect_size=\"41919488\"] \n  6 -> 12 [size =\"41919488\"]\n  6 -> 15 [size =\"41919488\"]\n  6 -> 17 [size =\"41919488\"]\n  7 [size=\"118941013\", alpha=\"0.17\", expect_size=\"35682304\"] \n  7 -> 12 [size =\"35682304\"]\n  8 [size=\"62562987\", alpha=\"0.20\", expect_size=\"18768896\"] \n  8 -> 13 [size =\"18768896\"]\n  8 -> 16 [size =\"18768896\"]\n  9 [size=\"119456427\", alpha=\"0.18\", expect_size=\"35836928\"] \n  9 -> 13 [size =\"35836928\"]\n  9 -> 14 [size =\"35836928\"]\n  10 [size=\"29839360\", alpha=\"0.09\", expect_size=\"8951808\"] \n  10 -> 13 [size =\"8951808\"]\n  10 -> 15 [size =\"8951808\"]\n  10 -> 16 [size =\"8951808\"]\n  10 -> 17 [size =\"8951808\"]\n  11 [size=\"87183360\", alpha=\"0.16\", expect_size=\"26155008\"] \n  11 -> 17 [size =\"26155008\"]\n  12 [size=\"56067413\", alpha=\"0.08\", expect_size=\"16820224\"] \n  12 -> 19 [size =\"16820224\"]\n  12 -> 20 [size =\"16820224\"]\n  12 -> 21 [size =\"16820224\"]\n  13 [size=\"60788053\", alpha=\"0.17\", expect_size=\"18236416\"] \n  14 [size=\"119709013\", alpha=\"0.20\", expect_size=\"35912704\"] \n  15 [size=\"153668267\", alpha=\"0.09\", expect_size=\"46100480\"] \n  15 -> 19 [size =\"46100480\"]\n  16 [size=\"33181013\", alpha=\"0.11\", expect_size=\"9954304\"] \n  16 -> 18 [size =\"9954304\"]\n  16 -> 19 [size =\"9954304\"]\n  16 -> 20 [size =\"9954304\"]\n  17 [size=\"79752533\", alpha=\"0.09\", expect_size=\"23925760\"] \n  17 -> 20 [size =\"23925760\"]\n  18 [size=\"59258880\", alpha=\"0.16\", expect_size=\"17777664\"] \n  18 -> 22 [size =\"17777664\"]\n  19 [size=\"57422507\", alpha=\"0.02\", expect_size=\"17226752\"] \n  20 [size=\"38980267\", alpha=\"0.10\", expect_size=\"11694080\"] \n  20 -> 22 [size =\"11694080\"]\n  20 -> 23 [size =\"11694080\"]\n  20 -> 24 [size =\"11694080\"]\n  21 [size=\"110080000\", alpha=\"0.01\", expect_size=\"33024000\"] \n  21 -> 23 [size =\"33024000\"]\n  21 -> 24 [size =\"33024000\"]\n  22 [size=\"76871680\", alpha=\"0.10\", expect_size=\"23061504\"] \n  22 -> 27 [size =\"23061504\"]\n  23 [size=\"139735040\", alpha=\"0.04\", expect_size=\"41920512\"] \n  23 -> 26 [size =\"41920512\"]\n  23 -> 28 [size =\"41920512\"]\n  24 [size=\"117562027\", alpha=\"0.06\", expect_size=\"35268608\"] \n  24 -> 25 [size =\"35268608\"]\n  24 -> 27 [size =\"35268608\"]\n  24 -> 28 [size =\"35268608\"]\n  24 -> 29 [size =\"35268608\"]\n  25 [size=\"114445653\", alpha=\"0.03\", expect_size=\"34333696\"] \n  26 [size=\"28190720\", alpha=\"0.16\", expect_size=\"8457216\"] \n  27 [size=\"116787200\", alpha=\"0.01\", expect_size=\"35036160\"] \n  28 [size=\"30825813\", alpha=\"0.12\", expect_size=\"9247744\"] \n  29 [size=\"154217813\", alpha=\"0.16\", expect_size=\"46265344\"] \n  29 -> 30 [size =\"46265344\"]\n  30 [size=\"167331840\", alpha=\"0.02\", expect_size=\"50199552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32321536\", alpha=\"0.05\", expect_size=\"16160768\"] \n  1 -> 2 [size =\"16160768\"]\n  2 [size=\"79742976\", alpha=\"0.16\", expect_size=\"39871488\"] \n  2 -> 3 [size =\"39871488\"]\n  3 [size=\"33916928\", alpha=\"0.09\", expect_size=\"16958464\"] \n  3 -> 4 [size =\"16958464\"]\n  4 [size=\"29403136\", alpha=\"0.09\", expect_size=\"14701568\"] \n  4 -> 5 [size =\"14701568\"]\n  5 [size=\"23746560\", alpha=\"0.05\", expect_size=\"11873280\"] \n  5 -> 6 [size =\"11873280\"]\n  6 [size=\"66150400\", alpha=\"0.01\", expect_size=\"33075200\"] \n  6 -> 7 [size =\"33075200\"]\n  7 [size=\"33875968\", alpha=\"0.03\", expect_size=\"16937984\"] \n  7 -> 8 [size =\"16937984\"]\n  8 [size=\"45801472\", alpha=\"0.06\", expect_size=\"22900736\"] \n  8 -> 9 [size =\"22900736\"]\n  9 [size=\"33189888\", alpha=\"0.09\", expect_size=\"16594944\"] \n  9 -> 10 [size =\"16594944\"]\n  10 [size=\"63836160\", alpha=\"0.08\", expect_size=\"31918080\"] \n  10 -> 11 [size =\"31918080\"]\n  11 [size=\"14465024\", alpha=\"0.20\", expect_size=\"7232512\"] \n  11 -> 12 [size =\"7232512\"]\n  12 [size=\"40361984\", alpha=\"0.02\", expect_size=\"20180992\"] \n  12 -> 13 [size =\"20180992\"]\n  13 [size=\"19744768\", alpha=\"0.07\", expect_size=\"9872384\"] \n  13 -> 14 [size =\"9872384\"]\n  14 [size=\"64055296\", alpha=\"0.11\", expect_size=\"32027648\"] \n  14 -> 15 [size =\"32027648\"]\n  15 [size=\"11900928\", alpha=\"0.01\", expect_size=\"5950464\"] \n  15 -> 16 [size =\"5950464\"]\n  16 [size=\"37283840\", alpha=\"0.08\", expect_size=\"18641920\"] \n  16 -> 17 [size =\"18641920\"]\n  17 [size=\"42121216\", alpha=\"0.07\", expect_size=\"21060608\"] \n  17 -> 18 [size =\"21060608\"]\n  18 [size=\"53954560\", alpha=\"0.13\", expect_size=\"26977280\"] \n  18 -> 19 [size =\"26977280\"]\n  19 [size=\"83941376\", alpha=\"0.04\", expect_size=\"41970688\"] \n  19 -> 20 [size =\"41970688\"]\n  20 [size=\"30353408\", alpha=\"0.20\", expect_size=\"15176704\"] \n  20 -> 21 [size =\"15176704\"]\n  21 [size=\"69615616\", alpha=\"0.01\", expect_size=\"34807808\"] \n  21 -> 22 [size =\"34807808\"]\n  22 [size=\"67723264\", alpha=\"0.17\", expect_size=\"33861632\"] \n  22 -> 23 [size =\"33861632\"]\n  23 [size=\"78675968\", alpha=\"0.17\", expect_size=\"39337984\"] \n  23 -> 24 [size =\"39337984\"]\n  24 [size=\"16478208\", alpha=\"0.02\", expect_size=\"8239104\"] \n  24 -> 25 [size =\"8239104\"]\n  25 [size=\"67416064\", alpha=\"0.09\", expect_size=\"33708032\"] \n  25 -> 26 [size =\"33708032\"]\n  26 [size=\"74412032\", alpha=\"0.09\", expect_size=\"37206016\"] \n  26 -> 27 [size =\"37206016\"]\n  27 [size=\"18356224\", alpha=\"0.13\", expect_size=\"9178112\"] \n  27 -> 28 [size =\"9178112\"]\n  28 [size=\"50884608\", alpha=\"0.05\", expect_size=\"25442304\"] \n  28 -> 29 [size =\"25442304\"]\n  29 [size=\"16097280\", alpha=\"0.01\", expect_size=\"8048640\"] \n  29 -> 30 [size =\"8048640\"]\n  30 [size=\"33120256\", alpha=\"0.09\", expect_size=\"16560128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55955456\", alpha=\"0.02\", expect_size=\"27977728\"] \n  1 -> 2 [size =\"27977728\"]\n  2 [size=\"67893248\", alpha=\"0.20\", expect_size=\"33946624\"] \n  2 -> 3 [size =\"33946624\"]\n  3 [size=\"91940864\", alpha=\"0.13\", expect_size=\"45970432\"] \n  3 -> 4 [size =\"45970432\"]\n  4 [size=\"22599680\", alpha=\"0.13\", expect_size=\"11299840\"] \n  4 -> 5 [size =\"11299840\"]\n  5 [size=\"81833984\", alpha=\"0.11\", expect_size=\"40916992\"] \n  5 -> 6 [size =\"40916992\"]\n  6 [size=\"41844736\", alpha=\"0.04\", expect_size=\"20922368\"] \n  6 -> 7 [size =\"20922368\"]\n  7 [size=\"43261952\", alpha=\"0.00\", expect_size=\"21630976\"] \n  7 -> 8 [size =\"21630976\"]\n  8 [size=\"81444864\", alpha=\"0.15\", expect_size=\"40722432\"] \n  8 -> 9 [size =\"40722432\"]\n  9 [size=\"17567744\", alpha=\"0.02\", expect_size=\"8783872\"] \n  9 -> 10 [size =\"8783872\"]\n  10 [size=\"77303808\", alpha=\"0.03\", expect_size=\"38651904\"] \n  10 -> 11 [size =\"38651904\"]\n  11 [size=\"86437888\", alpha=\"0.17\", expect_size=\"43218944\"] \n  11 -> 12 [size =\"43218944\"]\n  12 [size=\"97437696\", alpha=\"0.16\", expect_size=\"48718848\"] \n  12 -> 13 [size =\"48718848\"]\n  13 [size=\"95170560\", alpha=\"0.18\", expect_size=\"47585280\"] \n  13 -> 14 [size =\"47585280\"]\n  14 [size=\"62560256\", alpha=\"0.10\", expect_size=\"31280128\"] \n  14 -> 15 [size =\"31280128\"]\n  15 [size=\"28385280\", alpha=\"0.11\", expect_size=\"14192640\"] \n  15 -> 16 [size =\"14192640\"]\n  16 [size=\"79421440\", alpha=\"0.10\", expect_size=\"39710720\"] \n  16 -> 17 [size =\"39710720\"]\n  17 [size=\"100337664\", alpha=\"0.15\", expect_size=\"50168832\"] \n  17 -> 18 [size =\"50168832\"]\n  18 [size=\"102461440\", alpha=\"0.02\", expect_size=\"51230720\"] \n  18 -> 19 [size =\"51230720\"]\n  19 [size=\"77131776\", alpha=\"0.18\", expect_size=\"38565888\"] \n  19 -> 20 [size =\"38565888\"]\n  20 [size=\"86128640\", alpha=\"0.02\", expect_size=\"43064320\"] \n  20 -> 21 [size =\"43064320\"]\n  21 [size=\"101554176\", alpha=\"0.16\", expect_size=\"50777088\"] \n  21 -> 22 [size =\"50777088\"]\n  22 [size=\"88514560\", alpha=\"0.02\", expect_size=\"44257280\"] \n  22 -> 23 [size =\"44257280\"]\n  23 [size=\"68139008\", alpha=\"0.05\", expect_size=\"34069504\"] \n  23 -> 24 [size =\"34069504\"]\n  24 [size=\"57274368\", alpha=\"0.11\", expect_size=\"28637184\"] \n  24 -> 25 [size =\"28637184\"]\n  25 [size=\"12062720\", alpha=\"0.12\", expect_size=\"6031360\"] \n  25 -> 26 [size =\"6031360\"]\n  26 [size=\"64854016\", alpha=\"0.19\", expect_size=\"32427008\"] \n  26 -> 27 [size =\"32427008\"]\n  27 [size=\"16967680\", alpha=\"0.14\", expect_size=\"8483840\"] \n  27 -> 28 [size =\"8483840\"]\n  28 [size=\"88262656\", alpha=\"0.03\", expect_size=\"44131328\"] \n  28 -> 29 [size =\"44131328\"]\n  29 [size=\"99655680\", alpha=\"0.14\", expect_size=\"49827840\"] \n  29 -> 30 [size =\"49827840\"]\n  30 [size=\"91037696\", alpha=\"0.19\", expect_size=\"45518848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94993067\", alpha=\"0.15\", expect_size=\"28497920\"] \n  2 [size=\"89214293\", alpha=\"0.02\", expect_size=\"26764288\"] \n  2 -> 3 [size =\"26764288\"]\n  2 -> 4 [size =\"26764288\"]\n  3 [size=\"130908160\", alpha=\"0.05\", expect_size=\"39272448\"] \n  3 -> 5 [size =\"39272448\"]\n  3 -> 6 [size =\"39272448\"]\n  4 [size=\"42680320\", alpha=\"0.12\", expect_size=\"12804096\"] \n  4 -> 6 [size =\"12804096\"]\n  5 [size=\"168980480\", alpha=\"0.05\", expect_size=\"50694144\"] \n  6 [size=\"107291307\", alpha=\"0.12\", expect_size=\"32187392\"] \n  6 -> 7 [size =\"32187392\"]\n  6 -> 8 [size =\"32187392\"]\n  7 [size=\"100386133\", alpha=\"0.08\", expect_size=\"30115840\"] \n  8 [size=\"31689387\", alpha=\"0.08\", expect_size=\"9506816\"] \n  8 -> 9 [size =\"9506816\"]\n  9 [size=\"73202347\", alpha=\"0.16\", expect_size=\"21960704\"] \n  9 -> 10 [size =\"21960704\"]\n  9 -> 11 [size =\"21960704\"]\n  10 [size=\"141253973\", alpha=\"0.09\", expect_size=\"42376192\"] \n  10 -> 12 [size =\"42376192\"]\n  10 -> 13 [size =\"42376192\"]\n  11 [size=\"91975680\", alpha=\"0.17\", expect_size=\"27592704\"] \n  11 -> 12 [size =\"27592704\"]\n  11 -> 13 [size =\"27592704\"]\n  12 [size=\"56002560\", alpha=\"0.09\", expect_size=\"16800768\"] \n  12 -> 14 [size =\"16800768\"]\n  12 -> 15 [size =\"16800768\"]\n  13 [size=\"73113600\", alpha=\"0.00\", expect_size=\"21934080\"] \n  13 -> 14 [size =\"21934080\"]\n  14 [size=\"111564800\", alpha=\"0.14\", expect_size=\"33469440\"] \n  14 -> 16 [size =\"33469440\"]\n  14 -> 17 [size =\"33469440\"]\n  15 [size=\"49384107\", alpha=\"0.03\", expect_size=\"14815232\"] \n  15 -> 16 [size =\"14815232\"]\n  15 -> 17 [size =\"14815232\"]\n  16 [size=\"85288960\", alpha=\"0.06\", expect_size=\"25586688\"] \n  16 -> 18 [size =\"25586688\"]\n  17 [size=\"22900053\", alpha=\"0.06\", expect_size=\"6870016\"] \n  17 -> 18 [size =\"6870016\"]\n  18 [size=\"82851840\", alpha=\"0.09\", expect_size=\"24855552\"] \n  18 -> 19 [size =\"24855552\"]\n  18 -> 20 [size =\"24855552\"]\n  19 [size=\"142247253\", alpha=\"0.14\", expect_size=\"42674176\"] \n  20 [size=\"111168853\", alpha=\"0.14\", expect_size=\"33350656\"] \n  20 -> 21 [size =\"33350656\"]\n  21 [size=\"24255147\", alpha=\"0.03\", expect_size=\"7276544\"] \n  21 -> 22 [size =\"7276544\"]\n  22 [size=\"157102080\", alpha=\"0.02\", expect_size=\"47130624\"] \n  22 -> 23 [size =\"47130624\"]\n  23 [size=\"69311147\", alpha=\"0.15\", expect_size=\"20793344\"] \n  23 -> 24 [size =\"20793344\"]\n  24 [size=\"71509333\", alpha=\"0.11\", expect_size=\"21452800\"] \n  24 -> 25 [size =\"21452800\"]\n  24 -> 26 [size =\"21452800\"]\n  25 [size=\"21456213\", alpha=\"0.07\", expect_size=\"6436864\"] \n  25 -> 27 [size =\"6436864\"]\n  25 -> 28 [size =\"6436864\"]\n  26 [size=\"44424533\", alpha=\"0.14\", expect_size=\"13327360\"] \n  27 [size=\"95139840\", alpha=\"0.11\", expect_size=\"28541952\"] \n  27 -> 30 [size =\"28541952\"]\n  28 [size=\"143773013\", alpha=\"0.11\", expect_size=\"43131904\"] \n  28 -> 29 [size =\"43131904\"]\n  28 -> 30 [size =\"43131904\"]\n  29 [size=\"55511040\", alpha=\"0.17\", expect_size=\"16653312\"] \n  30 [size=\"166587733\", alpha=\"0.19\", expect_size=\"49976320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91306667\", alpha=\"0.18\", expect_size=\"27392000\"] \n  1 -> 6 [size =\"27392000\"]\n  1 -> 8 [size =\"27392000\"]\n  1 -> 10 [size =\"27392000\"]\n  2 [size=\"126156800\", alpha=\"0.01\", expect_size=\"37847040\"] \n  2 -> 8 [size =\"37847040\"]\n  2 -> 10 [size =\"37847040\"]\n  3 [size=\"18643627\", alpha=\"0.07\", expect_size=\"5593088\"] \n  3 -> 7 [size =\"5593088\"]\n  3 -> 8 [size =\"5593088\"]\n  3 -> 9 [size =\"5593088\"]\n  4 [size=\"88876373\", alpha=\"0.01\", expect_size=\"26662912\"] \n  4 -> 7 [size =\"26662912\"]\n  4 -> 10 [size =\"26662912\"]\n  5 [size=\"141895680\", alpha=\"0.07\", expect_size=\"42568704\"] \n  6 [size=\"151412053\", alpha=\"0.01\", expect_size=\"45423616\"] \n  6 -> 11 [size =\"45423616\"]\n  7 [size=\"38355627\", alpha=\"0.05\", expect_size=\"11506688\"] \n  7 -> 15 [size =\"11506688\"]\n  7 -> 16 [size =\"11506688\"]\n  8 [size=\"34136747\", alpha=\"0.18\", expect_size=\"10241024\"] \n  8 -> 12 [size =\"10241024\"]\n  8 -> 15 [size =\"10241024\"]\n  8 -> 16 [size =\"10241024\"]\n  9 [size=\"163372373\", alpha=\"0.17\", expect_size=\"49011712\"] \n  9 -> 11 [size =\"49011712\"]\n  9 -> 13 [size =\"49011712\"]\n  9 -> 14 [size =\"49011712\"]\n  9 -> 15 [size =\"49011712\"]\n  9 -> 16 [size =\"49011712\"]\n  10 [size=\"152890027\", alpha=\"0.19\", expect_size=\"45867008\"] \n  10 -> 13 [size =\"45867008\"]\n  10 -> 14 [size =\"45867008\"]\n  11 [size=\"57023147\", alpha=\"0.08\", expect_size=\"17106944\"] \n  11 -> 17 [size =\"17106944\"]\n  11 -> 18 [size =\"17106944\"]\n  11 -> 20 [size =\"17106944\"]\n  11 -> 21 [size =\"17106944\"]\n  11 -> 22 [size =\"17106944\"]\n  12 [size=\"44335787\", alpha=\"0.11\", expect_size=\"13300736\"] \n  12 -> 17 [size =\"13300736\"]\n  13 [size=\"54258347\", alpha=\"0.16\", expect_size=\"16277504\"] \n  13 -> 20 [size =\"16277504\"]\n  13 -> 21 [size =\"16277504\"]\n  14 [size=\"111800320\", alpha=\"0.11\", expect_size=\"33540096\"] \n  14 -> 17 [size =\"33540096\"]\n  15 [size=\"119306240\", alpha=\"0.07\", expect_size=\"35791872\"] \n  15 -> 18 [size =\"35791872\"]\n  15 -> 20 [size =\"35791872\"]\n  15 -> 21 [size =\"35791872\"]\n  15 -> 22 [size =\"35791872\"]\n  16 [size=\"173069653\", alpha=\"0.04\", expect_size=\"51920896\"] \n  16 -> 19 [size =\"51920896\"]\n  16 -> 20 [size =\"51920896\"]\n  16 -> 21 [size =\"51920896\"]\n  17 [size=\"21882880\", alpha=\"0.07\", expect_size=\"6564864\"] \n  17 -> 23 [size =\"6564864\"]\n  17 -> 25 [size =\"6564864\"]\n  17 -> 26 [size =\"6564864\"]\n  18 [size=\"62829227\", alpha=\"0.11\", expect_size=\"18848768\"] \n  18 -> 24 [size =\"18848768\"]\n  18 -> 26 [size =\"18848768\"]\n  19 [size=\"45854720\", alpha=\"0.10\", expect_size=\"13756416\"] \n  20 [size=\"22562133\", alpha=\"0.19\", expect_size=\"6768640\"] \n  20 -> 24 [size =\"6768640\"]\n  20 -> 25 [size =\"6768640\"]\n  21 [size=\"170550613\", alpha=\"0.18\", expect_size=\"51165184\"] \n  21 -> 23 [size =\"51165184\"]\n  21 -> 24 [size =\"51165184\"]\n  21 -> 25 [size =\"51165184\"]\n  22 [size=\"78387200\", alpha=\"0.10\", expect_size=\"23516160\"] \n  22 -> 23 [size =\"23516160\"]\n  22 -> 25 [size =\"23516160\"]\n  23 [size=\"168253440\", alpha=\"0.03\", expect_size=\"50476032\"] \n  23 -> 27 [size =\"50476032\"]\n  23 -> 28 [size =\"50476032\"]\n  23 -> 29 [size =\"50476032\"]\n  24 [size=\"139939840\", alpha=\"0.04\", expect_size=\"41981952\"] \n  25 [size=\"68696747\", alpha=\"0.02\", expect_size=\"20609024\"] \n  25 -> 27 [size =\"20609024\"]\n  25 -> 29 [size =\"20609024\"]\n  26 [size=\"120115200\", alpha=\"0.16\", expect_size=\"36034560\"] \n  26 -> 28 [size =\"36034560\"]\n  26 -> 29 [size =\"36034560\"]\n  27 [size=\"154118827\", alpha=\"0.13\", expect_size=\"46235648\"] \n  27 -> 30 [size =\"46235648\"]\n  28 [size=\"51933867\", alpha=\"0.12\", expect_size=\"15580160\"] \n  28 -> 30 [size =\"15580160\"]\n  29 [size=\"134898347\", alpha=\"0.10\", expect_size=\"40469504\"] \n  30 [size=\"56193707\", alpha=\"0.05\", expect_size=\"16858112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29550080\", alpha=\"0.09\", expect_size=\"11820032\"] \n  1 -> 2 [size =\"11820032\"]\n  2 [size=\"96650240\", alpha=\"0.16\", expect_size=\"38660096\"] \n  2 -> 3 [size =\"38660096\"]\n  3 [size=\"100774400\", alpha=\"0.17\", expect_size=\"40309760\"] \n  3 -> 4 [size =\"40309760\"]\n  4 [size=\"111296000\", alpha=\"0.01\", expect_size=\"44518400\"] \n  4 -> 5 [size =\"44518400\"]\n  5 [size=\"109757440\", alpha=\"0.14\", expect_size=\"43902976\"] \n  5 -> 6 [size =\"43902976\"]\n  6 [size=\"78912000\", alpha=\"0.10\", expect_size=\"31564800\"] \n  6 -> 7 [size =\"31564800\"]\n  7 [size=\"109957120\", alpha=\"0.12\", expect_size=\"43982848\"] \n  7 -> 8 [size =\"43982848\"]\n  8 [size=\"43079680\", alpha=\"0.17\", expect_size=\"17231872\"] \n  8 -> 9 [size =\"17231872\"]\n  9 [size=\"118689280\", alpha=\"0.09\", expect_size=\"47475712\"] \n  9 -> 10 [size =\"47475712\"]\n  10 [size=\"67256320\", alpha=\"0.05\", expect_size=\"26902528\"] \n  10 -> 11 [size =\"26902528\"]\n  11 [size=\"45555200\", alpha=\"0.02\", expect_size=\"18222080\"] \n  11 -> 12 [size =\"18222080\"]\n  12 [size=\"97231360\", alpha=\"0.10\", expect_size=\"38892544\"] \n  12 -> 13 [size =\"38892544\"]\n  13 [size=\"72811520\", alpha=\"0.10\", expect_size=\"29124608\"] \n  13 -> 14 [size =\"29124608\"]\n  14 [size=\"55485440\", alpha=\"0.02\", expect_size=\"22194176\"] \n  14 -> 15 [size =\"22194176\"]\n  15 [size=\"62988800\", alpha=\"0.12\", expect_size=\"25195520\"] \n  15 -> 16 [size =\"25195520\"]\n  16 [size=\"24657920\", alpha=\"0.17\", expect_size=\"9863168\"] \n  16 -> 17 [size =\"9863168\"]\n  17 [size=\"82767360\", alpha=\"0.01\", expect_size=\"33106944\"] \n  17 -> 18 [size =\"33106944\"]\n  18 [size=\"36485120\", alpha=\"0.05\", expect_size=\"14594048\"] \n  18 -> 19 [size =\"14594048\"]\n  19 [size=\"20582400\", alpha=\"0.18\", expect_size=\"8232960\"] \n  19 -> 20 [size =\"8232960\"]\n  20 [size=\"74498560\", alpha=\"0.15\", expect_size=\"29799424\"] \n  20 -> 21 [size =\"29799424\"]\n  21 [size=\"103856640\", alpha=\"0.14\", expect_size=\"41542656\"] \n  21 -> 22 [size =\"41542656\"]\n  22 [size=\"113244160\", alpha=\"0.08\", expect_size=\"45297664\"] \n  22 -> 23 [size =\"45297664\"]\n  23 [size=\"52459520\", alpha=\"0.16\", expect_size=\"20983808\"] \n  23 -> 24 [size =\"20983808\"]\n  24 [size=\"111887360\", alpha=\"0.02\", expect_size=\"44754944\"] \n  24 -> 25 [size =\"44754944\"]\n  25 [size=\"125271040\", alpha=\"0.03\", expect_size=\"50108416\"] \n  25 -> 26 [size =\"50108416\"]\n  26 [size=\"77112320\", alpha=\"0.16\", expect_size=\"30844928\"] \n  26 -> 27 [size =\"30844928\"]\n  27 [size=\"60490240\", alpha=\"0.05\", expect_size=\"24196096\"] \n  27 -> 28 [size =\"24196096\"]\n  28 [size=\"68277760\", alpha=\"0.19\", expect_size=\"27311104\"] \n  28 -> 29 [size =\"27311104\"]\n  29 [size=\"95470080\", alpha=\"0.11\", expect_size=\"38188032\"] \n  29 -> 30 [size =\"38188032\"]\n  30 [size=\"83957760\", alpha=\"0.13\", expect_size=\"33583104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26368000\", alpha=\"0.04\", expect_size=\"13184000\"] \n  1 -> 24 [size =\"13184000\"]\n  1 -> 28 [size =\"13184000\"]\n  1 -> 29 [size =\"13184000\"]\n  2 [size=\"54822912\", alpha=\"0.13\", expect_size=\"27411456\"] \n  2 -> 24 [size =\"27411456\"]\n  2 -> 26 [size =\"27411456\"]\n  2 -> 28 [size =\"27411456\"]\n  3 [size=\"28628992\", alpha=\"0.14\", expect_size=\"14314496\"] \n  3 -> 24 [size =\"14314496\"]\n  3 -> 25 [size =\"14314496\"]\n  3 -> 28 [size =\"14314496\"]\n  3 -> 29 [size =\"14314496\"]\n  4 [size=\"86122496\", alpha=\"0.14\", expect_size=\"43061248\"] \n  4 -> 28 [size =\"43061248\"]\n  5 [size=\"30394368\", alpha=\"0.13\", expect_size=\"15197184\"] \n  5 -> 28 [size =\"15197184\"]\n  6 [size=\"36833280\", alpha=\"0.19\", expect_size=\"18416640\"] \n  6 -> 24 [size =\"18416640\"]\n  6 -> 28 [size =\"18416640\"]\n  7 [size=\"16451584\", alpha=\"0.03\", expect_size=\"8225792\"] \n  7 -> 24 [size =\"8225792\"]\n  8 [size=\"45049856\", alpha=\"0.01\", expect_size=\"22524928\"] \n  8 -> 24 [size =\"22524928\"]\n  8 -> 27 [size =\"22524928\"]\n  9 [size=\"54259712\", alpha=\"0.09\", expect_size=\"27129856\"] \n  9 -> 24 [size =\"27129856\"]\n  9 -> 26 [size =\"27129856\"]\n  10 [size=\"50196480\", alpha=\"0.04\", expect_size=\"25098240\"] \n  10 -> 24 [size =\"25098240\"]\n  10 -> 26 [size =\"25098240\"]\n  10 -> 28 [size =\"25098240\"]\n  11 [size=\"92129280\", alpha=\"0.08\", expect_size=\"46064640\"] \n  11 -> 24 [size =\"46064640\"]\n  11 -> 28 [size =\"46064640\"]\n  11 -> 28 [size =\"46064640\"]\n  11 -> 30 [size =\"46064640\"]\n  12 [size=\"18376704\", alpha=\"0.05\", expect_size=\"9188352\"] \n  12 -> 24 [size =\"9188352\"]\n  12 -> 26 [size =\"9188352\"]\n  12 -> 28 [size =\"9188352\"]\n  13 [size=\"79228928\", alpha=\"0.10\", expect_size=\"39614464\"] \n  13 -> 24 [size =\"39614464\"]\n  13 -> 27 [size =\"39614464\"]\n  13 -> 28 [size =\"39614464\"]\n  14 [size=\"53090304\", alpha=\"0.13\", expect_size=\"26545152\"] \n  14 -> 23 [size =\"26545152\"]\n  15 [size=\"25473024\", alpha=\"0.17\", expect_size=\"12736512\"] \n  15 -> 26 [size =\"12736512\"]\n  15 -> 27 [size =\"12736512\"]\n  15 -> 28 [size =\"12736512\"]\n  15 -> 30 [size =\"12736512\"]\n  16 [size=\"88850432\", alpha=\"0.13\", expect_size=\"44425216\"] \n  16 -> 24 [size =\"44425216\"]\n  16 -> 25 [size =\"44425216\"]\n  16 -> 26 [size =\"44425216\"]\n  16 -> 28 [size =\"44425216\"]\n  17 [size=\"82028544\", alpha=\"0.14\", expect_size=\"41014272\"] \n  17 -> 24 [size =\"41014272\"]\n  17 -> 26 [size =\"41014272\"]\n  17 -> 28 [size =\"41014272\"]\n  17 -> 29 [size =\"41014272\"]\n  18 [size=\"96165888\", alpha=\"0.03\", expect_size=\"48082944\"] \n  18 -> 24 [size =\"48082944\"]\n  18 -> 26 [size =\"48082944\"]\n  18 -> 27 [size =\"48082944\"]\n  18 -> 29 [size =\"48082944\"]\n  18 -> 30 [size =\"48082944\"]\n  19 [size=\"99399680\", alpha=\"0.14\", expect_size=\"49699840\"] \n  19 -> 26 [size =\"49699840\"]\n  19 -> 28 [size =\"49699840\"]\n  19 -> 29 [size =\"49699840\"]\n  19 -> 30 [size =\"49699840\"]\n  20 [size=\"48166912\", alpha=\"0.11\", expect_size=\"24083456\"] \n  20 -> 24 [size =\"24083456\"]\n  20 -> 29 [size =\"24083456\"]\n  21 [size=\"67835904\", alpha=\"0.11\", expect_size=\"33917952\"] \n  21 -> 26 [size =\"33917952\"]\n  21 -> 28 [size =\"33917952\"]\n  21 -> 29 [size =\"33917952\"]\n  22 [size=\"12883968\", alpha=\"0.01\", expect_size=\"6441984\"] \n  22 -> 25 [size =\"6441984\"]\n  22 -> 27 [size =\"6441984\"]\n  22 -> 28 [size =\"6441984\"]\n  23 [size=\"36198400\", alpha=\"0.14\", expect_size=\"18099200\"] \n  24 [size=\"83292160\", alpha=\"0.03\", expect_size=\"41646080\"] \n  25 [size=\"51251200\", alpha=\"0.17\", expect_size=\"25625600\"] \n  26 [size=\"37754880\", alpha=\"0.16\", expect_size=\"18877440\"] \n  27 [size=\"100868096\", alpha=\"0.17\", expect_size=\"50434048\"] \n  28 [size=\"74221568\", alpha=\"0.05\", expect_size=\"37110784\"] \n  29 [size=\"89671680\", alpha=\"0.02\", expect_size=\"44835840\"] \n  30 [size=\"60743680\", alpha=\"0.08\", expect_size=\"30371840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83478528\", alpha=\"0.03\", expect_size=\"41739264\"] \n  1 -> 3 [size =\"41739264\"]\n  2 [size=\"103942144\", alpha=\"0.03\", expect_size=\"51971072\"] \n  2 -> 3 [size =\"51971072\"]\n  3 [size=\"34660352\", alpha=\"0.04\", expect_size=\"17330176\"] \n  3 -> 4 [size =\"17330176\"]\n  4 [size=\"18640896\", alpha=\"0.06\", expect_size=\"9320448\"] \n  4 -> 5 [size =\"9320448\"]\n  4 -> 6 [size =\"9320448\"]\n  5 [size=\"82253824\", alpha=\"0.08\", expect_size=\"41126912\"] \n  5 -> 7 [size =\"41126912\"]\n  6 [size=\"27291648\", alpha=\"0.11\", expect_size=\"13645824\"] \n  6 -> 7 [size =\"13645824\"]\n  7 [size=\"75616256\", alpha=\"0.07\", expect_size=\"37808128\"] \n  7 -> 8 [size =\"37808128\"]\n  8 [size=\"63578112\", alpha=\"0.10\", expect_size=\"31789056\"] \n  8 -> 9 [size =\"31789056\"]\n  9 [size=\"24291328\", alpha=\"0.12\", expect_size=\"12145664\"] \n  9 -> 10 [size =\"12145664\"]\n  10 [size=\"14970880\", alpha=\"0.18\", expect_size=\"7485440\"] \n  10 -> 11 [size =\"7485440\"]\n  11 [size=\"59623424\", alpha=\"0.08\", expect_size=\"29811712\"] \n  11 -> 12 [size =\"29811712\"]\n  11 -> 13 [size =\"29811712\"]\n  12 [size=\"73633792\", alpha=\"0.10\", expect_size=\"36816896\"] \n  12 -> 14 [size =\"36816896\"]\n  13 [size=\"86124544\", alpha=\"0.08\", expect_size=\"43062272\"] \n  14 [size=\"11464704\", alpha=\"0.09\", expect_size=\"5732352\"] \n  14 -> 15 [size =\"5732352\"]\n  14 -> 16 [size =\"5732352\"]\n  15 [size=\"38686720\", alpha=\"0.11\", expect_size=\"19343360\"] \n  16 [size=\"78772224\", alpha=\"0.14\", expect_size=\"39386112\"] \n  16 -> 17 [size =\"39386112\"]\n  16 -> 18 [size =\"39386112\"]\n  17 [size=\"35207168\", alpha=\"0.01\", expect_size=\"17603584\"] \n  17 -> 19 [size =\"17603584\"]\n  18 [size=\"66488320\", alpha=\"0.17\", expect_size=\"33244160\"] \n  19 [size=\"21608448\", alpha=\"0.06\", expect_size=\"10804224\"] \n  19 -> 20 [size =\"10804224\"]\n  20 [size=\"78725120\", alpha=\"0.05\", expect_size=\"39362560\"] \n  20 -> 21 [size =\"39362560\"]\n  20 -> 22 [size =\"39362560\"]\n  21 [size=\"68935680\", alpha=\"0.18\", expect_size=\"34467840\"] \n  21 -> 24 [size =\"34467840\"]\n  22 [size=\"11270144\", alpha=\"0.12\", expect_size=\"5635072\"] \n  22 -> 23 [size =\"5635072\"]\n  23 [size=\"58269696\", alpha=\"0.11\", expect_size=\"29134848\"] \n  23 -> 25 [size =\"29134848\"]\n  24 [size=\"94105600\", alpha=\"0.11\", expect_size=\"47052800\"] \n  25 [size=\"42127360\", alpha=\"0.07\", expect_size=\"21063680\"] \n  25 -> 26 [size =\"21063680\"]\n  25 -> 27 [size =\"21063680\"]\n  26 [size=\"93497344\", alpha=\"0.06\", expect_size=\"46748672\"] \n  27 [size=\"62873600\", alpha=\"0.19\", expect_size=\"31436800\"] \n  27 -> 28 [size =\"31436800\"]\n  28 [size=\"69050368\", alpha=\"0.03\", expect_size=\"34525184\"] \n  28 -> 29 [size =\"34525184\"]\n  29 [size=\"52719616\", alpha=\"0.10\", expect_size=\"26359808\"] \n  29 -> 30 [size =\"26359808\"]\n  30 [size=\"82495488\", alpha=\"0.18\", expect_size=\"41247744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126228480\", alpha=\"0.12\", expect_size=\"37868544\"] \n  2 [size=\"168977067\", alpha=\"0.11\", expect_size=\"50693120\"] \n  2 -> 3 [size =\"50693120\"]\n  2 -> 4 [size =\"50693120\"]\n  3 [size=\"89497600\", alpha=\"0.09\", expect_size=\"26849280\"] \n  4 [size=\"18691413\", alpha=\"0.13\", expect_size=\"5607424\"] \n  4 -> 5 [size =\"5607424\"]\n  5 [size=\"147309227\", alpha=\"0.05\", expect_size=\"44192768\"] \n  5 -> 6 [size =\"44192768\"]\n  5 -> 7 [size =\"44192768\"]\n  6 [size=\"91293013\", alpha=\"0.09\", expect_size=\"27387904\"] \n  6 -> 8 [size =\"27387904\"]\n  7 [size=\"120654507\", alpha=\"0.12\", expect_size=\"36196352\"] \n  8 [size=\"149213867\", alpha=\"0.16\", expect_size=\"44764160\"] \n  8 -> 9 [size =\"44764160\"]\n  8 -> 10 [size =\"44764160\"]\n  9 [size=\"72318293\", alpha=\"0.18\", expect_size=\"21695488\"] \n  9 -> 12 [size =\"21695488\"]\n  10 [size=\"40529920\", alpha=\"0.07\", expect_size=\"12158976\"] \n  10 -> 11 [size =\"12158976\"]\n  11 [size=\"134024533\", alpha=\"0.02\", expect_size=\"40207360\"] \n  12 [size=\"74823680\", alpha=\"0.03\", expect_size=\"22447104\"] \n  12 -> 13 [size =\"22447104\"]\n  13 [size=\"160252587\", alpha=\"0.04\", expect_size=\"48075776\"] \n  13 -> 14 [size =\"48075776\"]\n  14 [size=\"76171947\", alpha=\"0.15\", expect_size=\"22851584\"] \n  14 -> 15 [size =\"22851584\"]\n  15 [size=\"22060373\", alpha=\"0.14\", expect_size=\"6618112\"] \n  15 -> 16 [size =\"6618112\"]\n  16 [size=\"59931307\", alpha=\"0.16\", expect_size=\"17979392\"] \n  16 -> 17 [size =\"17979392\"]\n  17 [size=\"134434133\", alpha=\"0.04\", expect_size=\"40330240\"] \n  17 -> 18 [size =\"40330240\"]\n  18 [size=\"71615147\", alpha=\"0.01\", expect_size=\"21484544\"] \n  18 -> 19 [size =\"21484544\"]\n  19 [size=\"38396587\", alpha=\"0.10\", expect_size=\"11518976\"] \n  19 -> 20 [size =\"11518976\"]\n  20 [size=\"24627200\", alpha=\"0.04\", expect_size=\"7388160\"] \n  20 -> 21 [size =\"7388160\"]\n  20 -> 22 [size =\"7388160\"]\n  21 [size=\"82073600\", alpha=\"0.12\", expect_size=\"24622080\"] \n  21 -> 24 [size =\"24622080\"]\n  22 [size=\"100993707\", alpha=\"0.20\", expect_size=\"30298112\"] \n  22 -> 23 [size =\"30298112\"]\n  23 [size=\"128146773\", alpha=\"0.16\", expect_size=\"38444032\"] \n  24 [size=\"161157120\", alpha=\"0.13\", expect_size=\"48347136\"] \n  24 -> 25 [size =\"48347136\"]\n  25 [size=\"124310187\", alpha=\"0.06\", expect_size=\"37293056\"] \n  25 -> 26 [size =\"37293056\"]\n  25 -> 27 [size =\"37293056\"]\n  26 [size=\"80380587\", alpha=\"0.09\", expect_size=\"24114176\"] \n  27 [size=\"50165760\", alpha=\"0.04\", expect_size=\"15049728\"] \n  27 -> 28 [size =\"15049728\"]\n  28 [size=\"78462293\", alpha=\"0.17\", expect_size=\"23538688\"] \n  28 -> 29 [size =\"23538688\"]\n  29 [size=\"83974827\", alpha=\"0.16\", expect_size=\"25192448\"] \n  29 -> 30 [size =\"25192448\"]\n  30 [size=\"161006933\", alpha=\"0.19\", expect_size=\"48302080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130803200\", alpha=\"0.08\", expect_size=\"52321280\"] \n  1 -> 3 [size =\"52321280\"]\n  2 [size=\"127810560\", alpha=\"0.03\", expect_size=\"51124224\"] \n  2 -> 3 [size =\"51124224\"]\n  3 [size=\"91609600\", alpha=\"0.18\", expect_size=\"36643840\"] \n  3 -> 4 [size =\"36643840\"]\n  3 -> 5 [size =\"36643840\"]\n  4 [size=\"14328320\", alpha=\"0.07\", expect_size=\"5731328\"] \n  4 -> 6 [size =\"5731328\"]\n  5 [size=\"104834560\", alpha=\"0.05\", expect_size=\"41933824\"] \n  6 [size=\"131066880\", alpha=\"0.12\", expect_size=\"52426752\"] \n  6 -> 7 [size =\"52426752\"]\n  6 -> 8 [size =\"52426752\"]\n  7 [size=\"48944640\", alpha=\"0.01\", expect_size=\"19577856\"] \n  7 -> 9 [size =\"19577856\"]\n  8 [size=\"59187200\", alpha=\"0.10\", expect_size=\"23674880\"] \n  8 -> 9 [size =\"23674880\"]\n  9 [size=\"54814720\", alpha=\"0.14\", expect_size=\"21925888\"] \n  9 -> 10 [size =\"21925888\"]\n  9 -> 11 [size =\"21925888\"]\n  10 [size=\"123732480\", alpha=\"0.18\", expect_size=\"49492992\"] \n  10 -> 12 [size =\"49492992\"]\n  11 [size=\"17254400\", alpha=\"0.20\", expect_size=\"6901760\"] \n  11 -> 12 [size =\"6901760\"]\n  12 [size=\"67056640\", alpha=\"0.08\", expect_size=\"26822656\"] \n  12 -> 13 [size =\"26822656\"]\n  13 [size=\"83970560\", alpha=\"0.12\", expect_size=\"33588224\"] \n  13 -> 14 [size =\"33588224\"]\n  14 [size=\"73351680\", alpha=\"0.12\", expect_size=\"29340672\"] \n  14 -> 15 [size =\"29340672\"]\n  15 [size=\"116753920\", alpha=\"0.12\", expect_size=\"46701568\"] \n  15 -> 16 [size =\"46701568\"]\n  16 [size=\"26373120\", alpha=\"0.20\", expect_size=\"10549248\"] \n  16 -> 17 [size =\"10549248\"]\n  17 [size=\"95956480\", alpha=\"0.16\", expect_size=\"38382592\"] \n  17 -> 18 [size =\"38382592\"]\n  18 [size=\"104696320\", alpha=\"0.06\", expect_size=\"41878528\"] \n  18 -> 19 [size =\"41878528\"]\n  18 -> 20 [size =\"41878528\"]\n  19 [size=\"46243840\", alpha=\"0.19\", expect_size=\"18497536\"] \n  20 [size=\"127521280\", alpha=\"0.13\", expect_size=\"51008512\"] \n  20 -> 21 [size =\"51008512\"]\n  21 [size=\"114795520\", alpha=\"0.08\", expect_size=\"45918208\"] \n  21 -> 22 [size =\"45918208\"]\n  21 -> 23 [size =\"45918208\"]\n  22 [size=\"111882240\", alpha=\"0.02\", expect_size=\"44752896\"] \n  22 -> 24 [size =\"44752896\"]\n  23 [size=\"42278400\", alpha=\"0.10\", expect_size=\"16911360\"] \n  23 -> 24 [size =\"16911360\"]\n  24 [size=\"114001920\", alpha=\"0.17\", expect_size=\"45600768\"] \n  24 -> 25 [size =\"45600768\"]\n  25 [size=\"67051520\", alpha=\"0.01\", expect_size=\"26820608\"] \n  25 -> 26 [size =\"26820608\"]\n  25 -> 27 [size =\"26820608\"]\n  26 [size=\"22525440\", alpha=\"0.04\", expect_size=\"9010176\"] \n  26 -> 28 [size =\"9010176\"]\n  27 [size=\"21007360\", alpha=\"0.13\", expect_size=\"8402944\"] \n  28 [size=\"115683840\", alpha=\"0.10\", expect_size=\"46273536\"] \n  28 -> 29 [size =\"46273536\"]\n  29 [size=\"31892480\", alpha=\"0.14\", expect_size=\"12756992\"] \n  29 -> 30 [size =\"12756992\"]\n  30 [size=\"23549440\", alpha=\"0.17\", expect_size=\"9419776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81230507\", alpha=\"0.18\", expect_size=\"24369152\"] \n  1 -> 2 [size =\"24369152\"]\n  2 [size=\"64764587\", alpha=\"0.01\", expect_size=\"19429376\"] \n  2 -> 3 [size =\"19429376\"]\n  3 [size=\"137260373\", alpha=\"0.07\", expect_size=\"41178112\"] \n  3 -> 4 [size =\"41178112\"]\n  4 [size=\"128771413\", alpha=\"0.13\", expect_size=\"38631424\"] \n  4 -> 5 [size =\"38631424\"]\n  5 [size=\"91603627\", alpha=\"0.17\", expect_size=\"27481088\"] \n  5 -> 6 [size =\"27481088\"]\n  6 [size=\"113841493\", alpha=\"0.03\", expect_size=\"34152448\"] \n  6 -> 7 [size =\"34152448\"]\n  7 [size=\"61091840\", alpha=\"0.01\", expect_size=\"18327552\"] \n  7 -> 8 [size =\"18327552\"]\n  8 [size=\"17476267\", alpha=\"0.01\", expect_size=\"5242880\"] \n  8 -> 9 [size =\"5242880\"]\n  9 [size=\"51442347\", alpha=\"0.08\", expect_size=\"15432704\"] \n  9 -> 10 [size =\"15432704\"]\n  10 [size=\"29887147\", alpha=\"0.14\", expect_size=\"8966144\"] \n  10 -> 11 [size =\"8966144\"]\n  11 [size=\"149183147\", alpha=\"0.20\", expect_size=\"44754944\"] \n  11 -> 12 [size =\"44754944\"]\n  12 [size=\"137028267\", alpha=\"0.07\", expect_size=\"41108480\"] \n  12 -> 13 [size =\"41108480\"]\n  13 [size=\"144909653\", alpha=\"0.16\", expect_size=\"43472896\"] \n  13 -> 14 [size =\"43472896\"]\n  14 [size=\"43202560\", alpha=\"0.16\", expect_size=\"12960768\"] \n  14 -> 15 [size =\"12960768\"]\n  15 [size=\"147875840\", alpha=\"0.01\", expect_size=\"44362752\"] \n  15 -> 16 [size =\"44362752\"]\n  16 [size=\"123272533\", alpha=\"0.13\", expect_size=\"36981760\"] \n  16 -> 17 [size =\"36981760\"]\n  17 [size=\"147735893\", alpha=\"0.16\", expect_size=\"44320768\"] \n  17 -> 18 [size =\"44320768\"]\n  18 [size=\"155142827\", alpha=\"0.15\", expect_size=\"46542848\"] \n  18 -> 19 [size =\"46542848\"]\n  19 [size=\"160071680\", alpha=\"0.15\", expect_size=\"48021504\"] \n  19 -> 20 [size =\"48021504\"]\n  20 [size=\"64211627\", alpha=\"0.01\", expect_size=\"19263488\"] \n  20 -> 21 [size =\"19263488\"]\n  21 [size=\"173387093\", alpha=\"0.14\", expect_size=\"52016128\"] \n  21 -> 22 [size =\"52016128\"]\n  22 [size=\"169799680\", alpha=\"0.14\", expect_size=\"50939904\"] \n  22 -> 23 [size =\"50939904\"]\n  23 [size=\"68167680\", alpha=\"0.09\", expect_size=\"20450304\"] \n  23 -> 24 [size =\"20450304\"]\n  24 [size=\"38778880\", alpha=\"0.19\", expect_size=\"11633664\"] \n  24 -> 25 [size =\"11633664\"]\n  25 [size=\"163263147\", alpha=\"0.17\", expect_size=\"48978944\"] \n  25 -> 26 [size =\"48978944\"]\n  26 [size=\"170963627\", alpha=\"0.08\", expect_size=\"51289088\"] \n  26 -> 27 [size =\"51289088\"]\n  27 [size=\"115449173\", alpha=\"0.05\", expect_size=\"34634752\"] \n  27 -> 28 [size =\"34634752\"]\n  28 [size=\"84776960\", alpha=\"0.01\", expect_size=\"25433088\"] \n  28 -> 29 [size =\"25433088\"]\n  29 [size=\"47220053\", alpha=\"0.02\", expect_size=\"14166016\"] \n  29 -> 30 [size =\"14166016\"]\n  30 [size=\"164150613\", alpha=\"0.05\", expect_size=\"49245184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97466368\", alpha=\"0.09\", expect_size=\"48733184\"] \n  1 -> 23 [size =\"48733184\"]\n  1 -> 26 [size =\"48733184\"]\n  1 -> 28 [size =\"48733184\"]\n  1 -> 30 [size =\"48733184\"]\n  2 [size=\"26445824\", alpha=\"0.15\", expect_size=\"13222912\"] \n  2 -> 26 [size =\"13222912\"]\n  2 -> 30 [size =\"13222912\"]\n  3 [size=\"10582016\", alpha=\"0.08\", expect_size=\"5291008\"] \n  3 -> 24 [size =\"5291008\"]\n  3 -> 30 [size =\"5291008\"]\n  4 [size=\"46620672\", alpha=\"0.04\", expect_size=\"23310336\"] \n  4 -> 26 [size =\"23310336\"]\n  4 -> 27 [size =\"23310336\"]\n  4 -> 30 [size =\"23310336\"]\n  5 [size=\"15951872\", alpha=\"0.03\", expect_size=\"7975936\"] \n  5 -> 27 [size =\"7975936\"]\n  6 [size=\"86745088\", alpha=\"0.10\", expect_size=\"43372544\"] \n  6 -> 24 [size =\"43372544\"]\n  6 -> 26 [size =\"43372544\"]\n  6 -> 30 [size =\"43372544\"]\n  7 [size=\"99899392\", alpha=\"0.10\", expect_size=\"49949696\"] \n  7 -> 24 [size =\"49949696\"]\n  7 -> 28 [size =\"49949696\"]\n  8 [size=\"98131968\", alpha=\"0.03\", expect_size=\"49065984\"] \n  8 -> 22 [size =\"49065984\"]\n  8 -> 29 [size =\"49065984\"]\n  9 [size=\"101341184\", alpha=\"0.15\", expect_size=\"50670592\"] \n  9 -> 29 [size =\"50670592\"]\n  9 -> 30 [size =\"50670592\"]\n  10 [size=\"48195584\", alpha=\"0.06\", expect_size=\"24097792\"] \n  10 -> 24 [size =\"24097792\"]\n  11 [size=\"28915712\", alpha=\"0.02\", expect_size=\"14457856\"] \n  11 -> 24 [size =\"14457856\"]\n  12 [size=\"73132032\", alpha=\"0.16\", expect_size=\"36566016\"] \n  12 -> 24 [size =\"36566016\"]\n  12 -> 27 [size =\"36566016\"]\n  12 -> 29 [size =\"36566016\"]\n  13 [size=\"49963008\", alpha=\"0.13\", expect_size=\"24981504\"] \n  13 -> 26 [size =\"24981504\"]\n  13 -> 28 [size =\"24981504\"]\n  13 -> 29 [size =\"24981504\"]\n  14 [size=\"88469504\", alpha=\"0.09\", expect_size=\"44234752\"] \n  14 -> 26 [size =\"44234752\"]\n  14 -> 30 [size =\"44234752\"]\n  15 [size=\"12713984\", alpha=\"0.18\", expect_size=\"6356992\"] \n  15 -> 25 [size =\"6356992\"]\n  15 -> 30 [size =\"6356992\"]\n  16 [size=\"24967168\", alpha=\"0.17\", expect_size=\"12483584\"] \n  16 -> 23 [size =\"12483584\"]\n  16 -> 25 [size =\"12483584\"]\n  16 -> 29 [size =\"12483584\"]\n  16 -> 30 [size =\"12483584\"]\n  17 [size=\"73308160\", alpha=\"0.04\", expect_size=\"36654080\"] \n  17 -> 26 [size =\"36654080\"]\n  18 [size=\"27545600\", alpha=\"0.01\", expect_size=\"13772800\"] \n  18 -> 24 [size =\"13772800\"]\n  18 -> 26 [size =\"13772800\"]\n  19 [size=\"42221568\", alpha=\"0.16\", expect_size=\"21110784\"] \n  19 -> 24 [size =\"21110784\"]\n  19 -> 28 [size =\"21110784\"]\n  19 -> 29 [size =\"21110784\"]\n  19 -> 30 [size =\"21110784\"]\n  20 [size=\"16982016\", alpha=\"0.07\", expect_size=\"8491008\"] \n  20 -> 24 [size =\"8491008\"]\n  20 -> 26 [size =\"8491008\"]\n  20 -> 29 [size =\"8491008\"]\n  20 -> 30 [size =\"8491008\"]\n  21 [size=\"44918784\", alpha=\"0.17\", expect_size=\"22459392\"] \n  21 -> 24 [size =\"22459392\"]\n  21 -> 26 [size =\"22459392\"]\n  22 [size=\"53495808\", alpha=\"0.10\", expect_size=\"26747904\"] \n  23 [size=\"33095680\", alpha=\"0.03\", expect_size=\"16547840\"] \n  24 [size=\"94402560\", alpha=\"0.04\", expect_size=\"47201280\"] \n  25 [size=\"41742336\", alpha=\"0.06\", expect_size=\"20871168\"] \n  26 [size=\"30312448\", alpha=\"0.04\", expect_size=\"15156224\"] \n  27 [size=\"18173952\", alpha=\"0.01\", expect_size=\"9086976\"] \n  28 [size=\"38240256\", alpha=\"0.17\", expect_size=\"19120128\"] \n  29 [size=\"41601024\", alpha=\"0.12\", expect_size=\"20800512\"] \n  30 [size=\"22482944\", alpha=\"0.15\", expect_size=\"11241472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21937493\", alpha=\"0.17\", expect_size=\"6581248\"] \n  1 -> 25 [size =\"6581248\"]\n  1 -> 25 [size =\"6581248\"]\n  1 -> 26 [size =\"6581248\"]\n  2 [size=\"35150507\", alpha=\"0.17\", expect_size=\"10545152\"] \n  2 -> 25 [size =\"10545152\"]\n  2 -> 26 [size =\"10545152\"]\n  2 -> 27 [size =\"10545152\"]\n  3 [size=\"114025813\", alpha=\"0.09\", expect_size=\"34207744\"] \n  3 -> 23 [size =\"34207744\"]\n  3 -> 24 [size =\"34207744\"]\n  3 -> 29 [size =\"34207744\"]\n  4 [size=\"50326187\", alpha=\"0.06\", expect_size=\"15097856\"] \n  5 [size=\"24343893\", alpha=\"0.10\", expect_size=\"7303168\"] \n  5 -> 23 [size =\"7303168\"]\n  5 -> 27 [size =\"7303168\"]\n  6 [size=\"149531307\", alpha=\"0.07\", expect_size=\"44859392\"] \n  6 -> 25 [size =\"44859392\"]\n  6 -> 27 [size =\"44859392\"]\n  6 -> 30 [size =\"44859392\"]\n  7 [size=\"111168853\", alpha=\"0.09\", expect_size=\"33350656\"] \n  7 -> 25 [size =\"33350656\"]\n  7 -> 26 [size =\"33350656\"]\n  7 -> 27 [size =\"33350656\"]\n  8 [size=\"45018453\", alpha=\"0.02\", expect_size=\"13505536\"] \n  8 -> 25 [size =\"13505536\"]\n  8 -> 27 [size =\"13505536\"]\n  8 -> 27 [size =\"13505536\"]\n  9 [size=\"78373547\", alpha=\"0.09\", expect_size=\"23512064\"] \n  9 -> 24 [size =\"23512064\"]\n  9 -> 25 [size =\"23512064\"]\n  9 -> 27 [size =\"23512064\"]\n  10 [size=\"101331627\", alpha=\"0.04\", expect_size=\"30399488\"] \n  10 -> 23 [size =\"30399488\"]\n  10 -> 24 [size =\"30399488\"]\n  11 [size=\"42038613\", alpha=\"0.03\", expect_size=\"12611584\"] \n  11 -> 23 [size =\"12611584\"]\n  11 -> 30 [size =\"12611584\"]\n  12 [size=\"173851307\", alpha=\"0.01\", expect_size=\"52155392\"] \n  12 -> 23 [size =\"52155392\"]\n  12 -> 30 [size =\"52155392\"]\n  13 [size=\"149684907\", alpha=\"0.12\", expect_size=\"44905472\"] \n  13 -> 23 [size =\"44905472\"]\n  13 -> 24 [size =\"44905472\"]\n  13 -> 26 [size =\"44905472\"]\n  13 -> 29 [size =\"44905472\"]\n  14 [size=\"59904000\", alpha=\"0.14\", expect_size=\"17971200\"] \n  14 -> 26 [size =\"17971200\"]\n  14 -> 28 [size =\"17971200\"]\n  15 [size=\"107653120\", alpha=\"0.01\", expect_size=\"32295936\"] \n  15 -> 23 [size =\"32295936\"]\n  15 -> 26 [size =\"32295936\"]\n  15 -> 28 [size =\"32295936\"]\n  16 [size=\"28456960\", alpha=\"0.09\", expect_size=\"8537088\"] \n  16 -> 25 [size =\"8537088\"]\n  16 -> 26 [size =\"8537088\"]\n  16 -> 27 [size =\"8537088\"]\n  16 -> 28 [size =\"8537088\"]\n  17 [size=\"81960960\", alpha=\"0.08\", expect_size=\"24588288\"] \n  17 -> 26 [size =\"24588288\"]\n  17 -> 28 [size =\"24588288\"]\n  18 [size=\"148964693\", alpha=\"0.04\", expect_size=\"44689408\"] \n  18 -> 26 [size =\"44689408\"]\n  18 -> 27 [size =\"44689408\"]\n  19 [size=\"167936000\", alpha=\"0.07\", expect_size=\"50380800\"] \n  19 -> 25 [size =\"50380800\"]\n  19 -> 26 [size =\"50380800\"]\n  19 -> 28 [size =\"50380800\"]\n  20 [size=\"77581653\", alpha=\"0.03\", expect_size=\"23274496\"] \n  20 -> 24 [size =\"23274496\"]\n  20 -> 25 [size =\"23274496\"]\n  20 -> 27 [size =\"23274496\"]\n  20 -> 28 [size =\"23274496\"]\n  21 [size=\"110209707\", alpha=\"0.20\", expect_size=\"33062912\"] \n  21 -> 23 [size =\"33062912\"]\n  21 -> 29 [size =\"33062912\"]\n  22 [size=\"132949333\", alpha=\"0.19\", expect_size=\"39884800\"] \n  22 -> 23 [size =\"39884800\"]\n  22 -> 25 [size =\"39884800\"]\n  22 -> 26 [size =\"39884800\"]\n  22 -> 30 [size =\"39884800\"]\n  23 [size=\"142690987\", alpha=\"0.10\", expect_size=\"42807296\"] \n  24 [size=\"79766187\", alpha=\"0.06\", expect_size=\"23929856\"] \n  25 [size=\"32317440\", alpha=\"0.02\", expect_size=\"9695232\"] \n  26 [size=\"41516373\", alpha=\"0.15\", expect_size=\"12454912\"] \n  27 [size=\"111076693\", alpha=\"0.20\", expect_size=\"33323008\"] \n  28 [size=\"173622613\", alpha=\"0.08\", expect_size=\"52086784\"] \n  29 [size=\"45680640\", alpha=\"0.05\", expect_size=\"13704192\"] \n  30 [size=\"100297387\", alpha=\"0.12\", expect_size=\"30089216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156112213\", alpha=\"0.10\", expect_size=\"46833664\"] \n  1 -> 5 [size =\"46833664\"]\n  1 -> 7 [size =\"46833664\"]\n  1 -> 8 [size =\"46833664\"]\n  2 [size=\"168096427\", alpha=\"0.10\", expect_size=\"50428928\"] \n  2 -> 6 [size =\"50428928\"]\n  2 -> 8 [size =\"50428928\"]\n  3 [size=\"27975680\", alpha=\"0.01\", expect_size=\"8392704\"] \n  3 -> 5 [size =\"8392704\"]\n  3 -> 8 [size =\"8392704\"]\n  4 [size=\"104325120\", alpha=\"0.13\", expect_size=\"31297536\"] \n  4 -> 5 [size =\"31297536\"]\n  4 -> 8 [size =\"31297536\"]\n  5 [size=\"105472000\", alpha=\"0.02\", expect_size=\"31641600\"] \n  5 -> 9 [size =\"31641600\"]\n  5 -> 10 [size =\"31641600\"]\n  5 -> 11 [size =\"31641600\"]\n  6 [size=\"108288000\", alpha=\"0.07\", expect_size=\"32486400\"] \n  6 -> 10 [size =\"32486400\"]\n  6 -> 11 [size =\"32486400\"]\n  6 -> 12 [size =\"32486400\"]\n  7 [size=\"106598400\", alpha=\"0.15\", expect_size=\"31979520\"] \n  7 -> 10 [size =\"31979520\"]\n  7 -> 11 [size =\"31979520\"]\n  7 -> 12 [size =\"31979520\"]\n  8 [size=\"55391573\", alpha=\"0.02\", expect_size=\"16617472\"] \n  8 -> 10 [size =\"16617472\"]\n  9 [size=\"110257493\", alpha=\"0.20\", expect_size=\"33077248\"] \n  9 -> 13 [size =\"33077248\"]\n  9 -> 14 [size =\"33077248\"]\n  9 -> 16 [size =\"33077248\"]\n  9 -> 17 [size =\"33077248\"]\n  10 [size=\"146578773\", alpha=\"0.08\", expect_size=\"43973632\"] \n  10 -> 13 [size =\"43973632\"]\n  10 -> 14 [size =\"43973632\"]\n  10 -> 16 [size =\"43973632\"]\n  10 -> 17 [size =\"43973632\"]\n  11 [size=\"32167253\", alpha=\"0.12\", expect_size=\"9650176\"] \n  11 -> 13 [size =\"9650176\"]\n  11 -> 15 [size =\"9650176\"]\n  11 -> 16 [size =\"9650176\"]\n  12 [size=\"111933440\", alpha=\"0.16\", expect_size=\"33580032\"] \n  12 -> 13 [size =\"33580032\"]\n  12 -> 16 [size =\"33580032\"]\n  13 [size=\"35215360\", alpha=\"0.03\", expect_size=\"10564608\"] \n  13 -> 18 [size =\"10564608\"]\n  13 -> 19 [size =\"10564608\"]\n  13 -> 20 [size =\"10564608\"]\n  13 -> 21 [size =\"10564608\"]\n  14 [size=\"43212800\", alpha=\"0.07\", expect_size=\"12963840\"] \n  14 -> 18 [size =\"12963840\"]\n  14 -> 19 [size =\"12963840\"]\n  14 -> 20 [size =\"12963840\"]\n  14 -> 21 [size =\"12963840\"]\n  15 [size=\"142735360\", alpha=\"0.02\", expect_size=\"42820608\"] \n  15 -> 20 [size =\"42820608\"]\n  16 [size=\"162317653\", alpha=\"0.09\", expect_size=\"48695296\"] \n  16 -> 18 [size =\"48695296\"]\n  16 -> 19 [size =\"48695296\"]\n  16 -> 20 [size =\"48695296\"]\n  16 -> 21 [size =\"48695296\"]\n  17 [size=\"57579520\", alpha=\"0.06\", expect_size=\"17273856\"] \n  17 -> 19 [size =\"17273856\"]\n  17 -> 20 [size =\"17273856\"]\n  17 -> 21 [size =\"17273856\"]\n  17 -> 21 [size =\"17273856\"]\n  18 [size=\"20978347\", alpha=\"0.01\", expect_size=\"6293504\"] \n  18 -> 23 [size =\"6293504\"]\n  18 -> 24 [size =\"6293504\"]\n  19 [size=\"39393280\", alpha=\"0.20\", expect_size=\"11817984\"] \n  19 -> 22 [size =\"11817984\"]\n  19 -> 24 [size =\"11817984\"]\n  19 -> 25 [size =\"11817984\"]\n  20 [size=\"36969813\", alpha=\"0.03\", expect_size=\"11090944\"] \n  20 -> 24 [size =\"11090944\"]\n  20 -> 25 [size =\"11090944\"]\n  21 [size=\"98191360\", alpha=\"0.04\", expect_size=\"29457408\"] \n  21 -> 22 [size =\"29457408\"]\n  21 -> 23 [size =\"29457408\"]\n  21 -> 24 [size =\"29457408\"]\n  22 [size=\"35089067\", alpha=\"0.04\", expect_size=\"10526720\"] \n  22 -> 26 [size =\"10526720\"]\n  22 -> 28 [size =\"10526720\"]\n  22 -> 29 [size =\"10526720\"]\n  23 [size=\"162474667\", alpha=\"0.06\", expect_size=\"48742400\"] \n  23 -> 28 [size =\"48742400\"]\n  23 -> 29 [size =\"48742400\"]\n  24 [size=\"25815040\", alpha=\"0.19\", expect_size=\"7744512\"] \n  24 -> 27 [size =\"7744512\"]\n  24 -> 28 [size =\"7744512\"]\n  25 [size=\"81844907\", alpha=\"0.02\", expect_size=\"24553472\"] \n  25 -> 28 [size =\"24553472\"]\n  26 [size=\"94085120\", alpha=\"0.18\", expect_size=\"28225536\"] \n  26 -> 30 [size =\"28225536\"]\n  27 [size=\"168458240\", alpha=\"0.04\", expect_size=\"50537472\"] \n  27 -> 30 [size =\"50537472\"]\n  28 [size=\"57729707\", alpha=\"0.16\", expect_size=\"17318912\"] \n  28 -> 30 [size =\"17318912\"]\n  29 [size=\"62259200\", alpha=\"0.19\", expect_size=\"18677760\"] \n  29 -> 30 [size =\"18677760\"]\n  30 [size=\"61794987\", alpha=\"0.18\", expect_size=\"18538496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138195627\", alpha=\"0.05\", expect_size=\"41458688\"] \n  1 -> 4 [size =\"41458688\"]\n  2 [size=\"105676800\", alpha=\"0.08\", expect_size=\"31703040\"] \n  2 -> 3 [size =\"31703040\"]\n  2 -> 4 [size =\"31703040\"]\n  3 [size=\"55927467\", alpha=\"0.06\", expect_size=\"16778240\"] \n  3 -> 5 [size =\"16778240\"]\n  4 [size=\"24930987\", alpha=\"0.03\", expect_size=\"7479296\"] \n  4 -> 5 [size =\"7479296\"]\n  5 [size=\"101655893\", alpha=\"0.02\", expect_size=\"30496768\"] \n  5 -> 6 [size =\"30496768\"]\n  5 -> 7 [size =\"30496768\"]\n  6 [size=\"122542080\", alpha=\"0.16\", expect_size=\"36762624\"] \n  6 -> 8 [size =\"36762624\"]\n  6 -> 9 [size =\"36762624\"]\n  7 [size=\"130884267\", alpha=\"0.15\", expect_size=\"39265280\"] \n  7 -> 8 [size =\"39265280\"]\n  8 [size=\"166072320\", alpha=\"0.14\", expect_size=\"49821696\"] \n  8 -> 10 [size =\"49821696\"]\n  9 [size=\"92371627\", alpha=\"0.02\", expect_size=\"27711488\"] \n  9 -> 10 [size =\"27711488\"]\n  10 [size=\"96389120\", alpha=\"0.19\", expect_size=\"28916736\"] \n  10 -> 11 [size =\"28916736\"]\n  10 -> 12 [size =\"28916736\"]\n  11 [size=\"154050560\", alpha=\"0.02\", expect_size=\"46215168\"] \n  11 -> 13 [size =\"46215168\"]\n  11 -> 14 [size =\"46215168\"]\n  12 [size=\"34310827\", alpha=\"0.19\", expect_size=\"10293248\"] \n  12 -> 13 [size =\"10293248\"]\n  12 -> 14 [size =\"10293248\"]\n  13 [size=\"99662507\", alpha=\"0.01\", expect_size=\"29898752\"] \n  13 -> 15 [size =\"29898752\"]\n  14 [size=\"147575467\", alpha=\"0.03\", expect_size=\"44272640\"] \n  14 -> 15 [size =\"44272640\"]\n  15 [size=\"172492800\", alpha=\"0.05\", expect_size=\"51747840\"] \n  15 -> 16 [size =\"51747840\"]\n  15 -> 17 [size =\"51747840\"]\n  16 [size=\"32078507\", alpha=\"0.19\", expect_size=\"9623552\"] \n  16 -> 18 [size =\"9623552\"]\n  16 -> 19 [size =\"9623552\"]\n  17 [size=\"159938560\", alpha=\"0.05\", expect_size=\"47981568\"] \n  17 -> 18 [size =\"47981568\"]\n  17 -> 19 [size =\"47981568\"]\n  18 [size=\"120422400\", alpha=\"0.05\", expect_size=\"36126720\"] \n  18 -> 20 [size =\"36126720\"]\n  19 [size=\"72632320\", alpha=\"0.04\", expect_size=\"21789696\"] \n  19 -> 20 [size =\"21789696\"]\n  19 -> 21 [size =\"21789696\"]\n  20 [size=\"88739840\", alpha=\"0.18\", expect_size=\"26621952\"] \n  20 -> 23 [size =\"26621952\"]\n  21 [size=\"82602667\", alpha=\"0.07\", expect_size=\"24780800\"] \n  21 -> 22 [size =\"24780800\"]\n  21 -> 23 [size =\"24780800\"]\n  22 [size=\"102014293\", alpha=\"0.08\", expect_size=\"30604288\"] \n  23 [size=\"94658560\", alpha=\"0.13\", expect_size=\"28397568\"] \n  23 -> 24 [size =\"28397568\"]\n  24 [size=\"99399680\", alpha=\"0.20\", expect_size=\"29819904\"] \n  24 -> 25 [size =\"29819904\"]\n  25 [size=\"121077760\", alpha=\"0.17\", expect_size=\"36323328\"] \n  25 -> 26 [size =\"36323328\"]\n  25 -> 27 [size =\"36323328\"]\n  26 [size=\"159348053\", alpha=\"0.08\", expect_size=\"47804416\"] \n  26 -> 28 [size =\"47804416\"]\n  26 -> 29 [size =\"47804416\"]\n  27 [size=\"147561813\", alpha=\"0.12\", expect_size=\"44268544\"] \n  27 -> 28 [size =\"44268544\"]\n  27 -> 29 [size =\"44268544\"]\n  28 [size=\"28801707\", alpha=\"0.16\", expect_size=\"8640512\"] \n  28 -> 30 [size =\"8640512\"]\n  29 [size=\"71355733\", alpha=\"0.10\", expect_size=\"21406720\"] \n  29 -> 30 [size =\"21406720\"]\n  30 [size=\"102065493\", alpha=\"0.13\", expect_size=\"30619648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82345984\", alpha=\"0.01\", expect_size=\"41172992\"] \n  1 -> 2 [size =\"41172992\"]\n  2 [size=\"104718336\", alpha=\"0.13\", expect_size=\"52359168\"] \n  2 -> 3 [size =\"52359168\"]\n  3 [size=\"104108032\", alpha=\"0.13\", expect_size=\"52054016\"] \n  3 -> 4 [size =\"52054016\"]\n  4 [size=\"88381440\", alpha=\"0.02\", expect_size=\"44190720\"] \n  4 -> 5 [size =\"44190720\"]\n  5 [size=\"27385856\", alpha=\"0.12\", expect_size=\"13692928\"] \n  5 -> 6 [size =\"13692928\"]\n  6 [size=\"75223040\", alpha=\"0.17\", expect_size=\"37611520\"] \n  6 -> 7 [size =\"37611520\"]\n  7 [size=\"17934336\", alpha=\"0.07\", expect_size=\"8967168\"] \n  7 -> 8 [size =\"8967168\"]\n  8 [size=\"101062656\", alpha=\"0.01\", expect_size=\"50531328\"] \n  8 -> 9 [size =\"50531328\"]\n  9 [size=\"68466688\", alpha=\"0.02\", expect_size=\"34233344\"] \n  9 -> 10 [size =\"34233344\"]\n  10 [size=\"42080256\", alpha=\"0.17\", expect_size=\"21040128\"] \n  10 -> 11 [size =\"21040128\"]\n  11 [size=\"21463040\", alpha=\"0.07\", expect_size=\"10731520\"] \n  11 -> 12 [size =\"10731520\"]\n  12 [size=\"26701824\", alpha=\"0.02\", expect_size=\"13350912\"] \n  12 -> 13 [size =\"13350912\"]\n  13 [size=\"85964800\", alpha=\"0.13\", expect_size=\"42982400\"] \n  13 -> 14 [size =\"42982400\"]\n  14 [size=\"53153792\", alpha=\"0.02\", expect_size=\"26576896\"] \n  14 -> 15 [size =\"26576896\"]\n  15 [size=\"64176128\", alpha=\"0.15\", expect_size=\"32088064\"] \n  15 -> 16 [size =\"32088064\"]\n  16 [size=\"28719104\", alpha=\"0.02\", expect_size=\"14359552\"] \n  16 -> 17 [size =\"14359552\"]\n  17 [size=\"13928448\", alpha=\"0.12\", expect_size=\"6964224\"] \n  17 -> 18 [size =\"6964224\"]\n  18 [size=\"44697600\", alpha=\"0.15\", expect_size=\"22348800\"] \n  18 -> 19 [size =\"22348800\"]\n  19 [size=\"50116608\", alpha=\"0.12\", expect_size=\"25058304\"] \n  19 -> 20 [size =\"25058304\"]\n  20 [size=\"58425344\", alpha=\"0.08\", expect_size=\"29212672\"] \n  20 -> 21 [size =\"29212672\"]\n  21 [size=\"46614528\", alpha=\"0.19\", expect_size=\"23307264\"] \n  21 -> 22 [size =\"23307264\"]\n  22 [size=\"81999872\", alpha=\"0.10\", expect_size=\"40999936\"] \n  22 -> 23 [size =\"40999936\"]\n  23 [size=\"90492928\", alpha=\"0.00\", expect_size=\"45246464\"] \n  23 -> 24 [size =\"45246464\"]\n  24 [size=\"58732544\", alpha=\"0.08\", expect_size=\"29366272\"] \n  24 -> 25 [size =\"29366272\"]\n  25 [size=\"69099520\", alpha=\"0.19\", expect_size=\"34549760\"] \n  25 -> 26 [size =\"34549760\"]\n  26 [size=\"46026752\", alpha=\"0.03\", expect_size=\"23013376\"] \n  26 -> 27 [size =\"23013376\"]\n  27 [size=\"54964224\", alpha=\"0.09\", expect_size=\"27482112\"] \n  27 -> 28 [size =\"27482112\"]\n  28 [size=\"15759360\", alpha=\"0.15\", expect_size=\"7879680\"] \n  28 -> 29 [size =\"7879680\"]\n  29 [size=\"85587968\", alpha=\"0.12\", expect_size=\"42793984\"] \n  29 -> 30 [size =\"42793984\"]\n  30 [size=\"47333376\", alpha=\"0.17\", expect_size=\"23666688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152176640\", alpha=\"0.09\", expect_size=\"45652992\"] \n  1 -> 14 [size =\"45652992\"]\n  1 -> 17 [size =\"45652992\"]\n  1 -> 19 [size =\"45652992\"]\n  1 -> 20 [size =\"45652992\"]\n  1 -> 21 [size =\"45652992\"]\n  2 [size=\"30344533\", alpha=\"0.09\", expect_size=\"9103360\"] \n  2 -> 13 [size =\"9103360\"]\n  2 -> 20 [size =\"9103360\"]\n  3 [size=\"24374613\", alpha=\"0.03\", expect_size=\"7312384\"] \n  3 -> 14 [size =\"7312384\"]\n  3 -> 17 [size =\"7312384\"]\n  3 -> 20 [size =\"7312384\"]\n  3 -> 21 [size =\"7312384\"]\n  4 [size=\"18025813\", alpha=\"0.20\", expect_size=\"5407744\"] \n  4 -> 14 [size =\"5407744\"]\n  4 -> 16 [size =\"5407744\"]\n  4 -> 17 [size =\"5407744\"]\n  5 [size=\"35485013\", alpha=\"0.18\", expect_size=\"10645504\"] \n  5 -> 13 [size =\"10645504\"]\n  5 -> 16 [size =\"10645504\"]\n  5 -> 17 [size =\"10645504\"]\n  5 -> 21 [size =\"10645504\"]\n  6 [size=\"102225920\", alpha=\"0.10\", expect_size=\"30667776\"] \n  6 -> 13 [size =\"30667776\"]\n  6 -> 14 [size =\"30667776\"]\n  6 -> 16 [size =\"30667776\"]\n  6 -> 17 [size =\"30667776\"]\n  6 -> 18 [size =\"30667776\"]\n  6 -> 21 [size =\"30667776\"]\n  7 [size=\"139451733\", alpha=\"0.18\", expect_size=\"41835520\"] \n  7 -> 14 [size =\"41835520\"]\n  7 -> 15 [size =\"41835520\"]\n  7 -> 16 [size =\"41835520\"]\n  7 -> 18 [size =\"41835520\"]\n  8 [size=\"42605227\", alpha=\"0.03\", expect_size=\"12781568\"] \n  8 -> 15 [size =\"12781568\"]\n  8 -> 22 [size =\"12781568\"]\n  9 [size=\"147247787\", alpha=\"0.08\", expect_size=\"44174336\"] \n  9 -> 19 [size =\"44174336\"]\n  9 -> 20 [size =\"44174336\"]\n  10 [size=\"173697707\", alpha=\"0.20\", expect_size=\"52109312\"] \n  10 -> 13 [size =\"52109312\"]\n  10 -> 16 [size =\"52109312\"]\n  10 -> 17 [size =\"52109312\"]\n  10 -> 20 [size =\"52109312\"]\n  11 [size=\"148691627\", alpha=\"0.09\", expect_size=\"44607488\"] \n  11 -> 16 [size =\"44607488\"]\n  11 -> 20 [size =\"44607488\"]\n  12 [size=\"59559253\", alpha=\"0.01\", expect_size=\"17867776\"] \n  12 -> 16 [size =\"17867776\"]\n  12 -> 20 [size =\"17867776\"]\n  12 -> 22 [size =\"17867776\"]\n  13 [size=\"129075200\", alpha=\"0.01\", expect_size=\"38722560\"] \n  13 -> 25 [size =\"38722560\"]\n  13 -> 25 [size =\"38722560\"]\n  13 -> 27 [size =\"38722560\"]\n  13 -> 29 [size =\"38722560\"]\n  13 -> 30 [size =\"38722560\"]\n  14 [size=\"156504747\", alpha=\"0.03\", expect_size=\"46951424\"] \n  14 -> 26 [size =\"46951424\"]\n  14 -> 27 [size =\"46951424\"]\n  14 -> 28 [size =\"46951424\"]\n  14 -> 29 [size =\"46951424\"]\n  14 -> 30 [size =\"46951424\"]\n  15 [size=\"154347520\", alpha=\"0.04\", expect_size=\"46304256\"] \n  15 -> 24 [size =\"46304256\"]\n  15 -> 25 [size =\"46304256\"]\n  15 -> 26 [size =\"46304256\"]\n  15 -> 28 [size =\"46304256\"]\n  15 -> 29 [size =\"46304256\"]\n  15 -> 30 [size =\"46304256\"]\n  16 [size=\"141260800\", alpha=\"0.11\", expect_size=\"42378240\"] \n  16 -> 25 [size =\"42378240\"]\n  16 -> 26 [size =\"42378240\"]\n  16 -> 29 [size =\"42378240\"]\n  17 [size=\"65744213\", alpha=\"0.03\", expect_size=\"19723264\"] \n  17 -> 25 [size =\"19723264\"]\n  17 -> 28 [size =\"19723264\"]\n  18 [size=\"48452267\", alpha=\"0.13\", expect_size=\"14535680\"] \n  18 -> 27 [size =\"14535680\"]\n  19 [size=\"69198507\", alpha=\"0.03\", expect_size=\"20759552\"] \n  19 -> 23 [size =\"20759552\"]\n  19 -> 24 [size =\"20759552\"]\n  19 -> 30 [size =\"20759552\"]\n  20 [size=\"132096000\", alpha=\"0.11\", expect_size=\"39628800\"] \n  20 -> 25 [size =\"39628800\"]\n  20 -> 27 [size =\"39628800\"]\n  20 -> 29 [size =\"39628800\"]\n  21 [size=\"131884373\", alpha=\"0.16\", expect_size=\"39565312\"] \n  22 [size=\"43455147\", alpha=\"0.03\", expect_size=\"13036544\"] \n  22 -> 24 [size =\"13036544\"]\n  22 -> 25 [size =\"13036544\"]\n  22 -> 27 [size =\"13036544\"]\n  23 [size=\"51452587\", alpha=\"0.11\", expect_size=\"15435776\"] \n  24 [size=\"56637440\", alpha=\"0.18\", expect_size=\"16991232\"] \n  25 [size=\"79124480\", alpha=\"0.08\", expect_size=\"23737344\"] \n  26 [size=\"114421760\", alpha=\"0.09\", expect_size=\"34326528\"] \n  27 [size=\"40584533\", alpha=\"0.06\", expect_size=\"12175360\"] \n  28 [size=\"66986667\", alpha=\"0.05\", expect_size=\"20096000\"] \n  29 [size=\"170509653\", alpha=\"0.01\", expect_size=\"51152896\"] \n  30 [size=\"33986560\", alpha=\"0.17\", expect_size=\"10195968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54876160\", alpha=\"0.19\", expect_size=\"16462848\"] \n  1 -> 2 [size =\"16462848\"]\n  2 [size=\"46964053\", alpha=\"0.16\", expect_size=\"14089216\"] \n  2 -> 3 [size =\"14089216\"]\n  3 [size=\"106598400\", alpha=\"0.10\", expect_size=\"31979520\"] \n  3 -> 4 [size =\"31979520\"]\n  4 [size=\"37079040\", alpha=\"0.20\", expect_size=\"11123712\"] \n  4 -> 5 [size =\"11123712\"]\n  5 [size=\"116401493\", alpha=\"0.14\", expect_size=\"34920448\"] \n  5 -> 6 [size =\"34920448\"]\n  6 [size=\"34112853\", alpha=\"0.03\", expect_size=\"10233856\"] \n  6 -> 7 [size =\"10233856\"]\n  7 [size=\"105523200\", alpha=\"0.16\", expect_size=\"31656960\"] \n  7 -> 8 [size =\"31656960\"]\n  8 [size=\"54381227\", alpha=\"0.17\", expect_size=\"16314368\"] \n  8 -> 9 [size =\"16314368\"]\n  9 [size=\"155716267\", alpha=\"0.06\", expect_size=\"46714880\"] \n  9 -> 10 [size =\"46714880\"]\n  10 [size=\"87347200\", alpha=\"0.19\", expect_size=\"26204160\"] \n  10 -> 11 [size =\"26204160\"]\n  11 [size=\"172847787\", alpha=\"0.05\", expect_size=\"51854336\"] \n  11 -> 12 [size =\"51854336\"]\n  12 [size=\"168256853\", alpha=\"0.11\", expect_size=\"50477056\"] \n  12 -> 13 [size =\"50477056\"]\n  13 [size=\"133730987\", alpha=\"0.04\", expect_size=\"40119296\"] \n  13 -> 14 [size =\"40119296\"]\n  14 [size=\"52937387\", alpha=\"0.00\", expect_size=\"15881216\"] \n  14 -> 15 [size =\"15881216\"]\n  15 [size=\"51411627\", alpha=\"0.03\", expect_size=\"15423488\"] \n  15 -> 16 [size =\"15423488\"]\n  16 [size=\"162611200\", alpha=\"0.17\", expect_size=\"48783360\"] \n  16 -> 17 [size =\"48783360\"]\n  17 [size=\"29709653\", alpha=\"0.09\", expect_size=\"8912896\"] \n  17 -> 18 [size =\"8912896\"]\n  18 [size=\"153729707\", alpha=\"0.09\", expect_size=\"46118912\"] \n  18 -> 19 [size =\"46118912\"]\n  19 [size=\"127846400\", alpha=\"0.11\", expect_size=\"38353920\"] \n  19 -> 20 [size =\"38353920\"]\n  20 [size=\"173253973\", alpha=\"0.18\", expect_size=\"51976192\"] \n  20 -> 21 [size =\"51976192\"]\n  21 [size=\"165771947\", alpha=\"0.10\", expect_size=\"49731584\"] \n  21 -> 22 [size =\"49731584\"]\n  22 [size=\"50107733\", alpha=\"0.05\", expect_size=\"15032320\"] \n  22 -> 23 [size =\"15032320\"]\n  23 [size=\"140431360\", alpha=\"0.12\", expect_size=\"42129408\"] \n  23 -> 24 [size =\"42129408\"]\n  24 [size=\"170137600\", alpha=\"0.01\", expect_size=\"51041280\"] \n  24 -> 25 [size =\"51041280\"]\n  25 [size=\"173008213\", alpha=\"0.03\", expect_size=\"51902464\"] \n  25 -> 26 [size =\"51902464\"]\n  26 [size=\"40253440\", alpha=\"0.07\", expect_size=\"12076032\"] \n  26 -> 27 [size =\"12076032\"]\n  27 [size=\"170868053\", alpha=\"0.02\", expect_size=\"51260416\"] \n  27 -> 28 [size =\"51260416\"]\n  28 [size=\"81896107\", alpha=\"0.02\", expect_size=\"24568832\"] \n  28 -> 29 [size =\"24568832\"]\n  29 [size=\"149183147\", alpha=\"0.19\", expect_size=\"44754944\"] \n  29 -> 30 [size =\"44754944\"]\n  30 [size=\"78035627\", alpha=\"0.05\", expect_size=\"23410688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26743467\", alpha=\"0.04\", expect_size=\"8023040\"] \n  1 -> 27 [size =\"8023040\"]\n  1 -> 28 [size =\"8023040\"]\n  2 [size=\"147319467\", alpha=\"0.16\", expect_size=\"44195840\"] \n  2 -> 28 [size =\"44195840\"]\n  2 -> 30 [size =\"44195840\"]\n  3 [size=\"123600213\", alpha=\"0.11\", expect_size=\"37080064\"] \n  3 -> 27 [size =\"37080064\"]\n  3 -> 29 [size =\"37080064\"]\n  4 [size=\"148821333\", alpha=\"0.07\", expect_size=\"44646400\"] \n  4 -> 29 [size =\"44646400\"]\n  5 [size=\"169809920\", alpha=\"0.06\", expect_size=\"50942976\"] \n  5 -> 27 [size =\"50942976\"]\n  6 [size=\"173646507\", alpha=\"0.19\", expect_size=\"52093952\"] \n  6 -> 27 [size =\"52093952\"]\n  6 -> 28 [size =\"52093952\"]\n  6 -> 29 [size =\"52093952\"]\n  7 [size=\"148363947\", alpha=\"0.19\", expect_size=\"44509184\"] \n  7 -> 26 [size =\"44509184\"]\n  8 [size=\"80687787\", alpha=\"0.09\", expect_size=\"24206336\"] \n  8 -> 26 [size =\"24206336\"]\n  8 -> 28 [size =\"24206336\"]\n  9 [size=\"96689493\", alpha=\"0.07\", expect_size=\"29006848\"] \n  9 -> 26 [size =\"29006848\"]\n  9 -> 27 [size =\"29006848\"]\n  9 -> 28 [size =\"29006848\"]\n  9 -> 29 [size =\"29006848\"]\n  10 [size=\"48011947\", alpha=\"0.05\", expect_size=\"14403584\"] \n  10 -> 26 [size =\"14403584\"]\n  10 -> 28 [size =\"14403584\"]\n  11 [size=\"167290880\", alpha=\"0.18\", expect_size=\"50187264\"] \n  11 -> 28 [size =\"50187264\"]\n  11 -> 29 [size =\"50187264\"]\n  12 [size=\"38912000\", alpha=\"0.18\", expect_size=\"11673600\"] \n  12 -> 28 [size =\"11673600\"]\n  13 [size=\"165239467\", alpha=\"0.06\", expect_size=\"49571840\"] \n  13 -> 27 [size =\"49571840\"]\n  14 [size=\"91589973\", alpha=\"0.19\", expect_size=\"27476992\"] \n  15 [size=\"143622827\", alpha=\"0.08\", expect_size=\"43086848\"] \n  15 -> 27 [size =\"43086848\"]\n  15 -> 28 [size =\"43086848\"]\n  16 [size=\"37294080\", alpha=\"0.05\", expect_size=\"11188224\"] \n  16 -> 27 [size =\"11188224\"]\n  16 -> 28 [size =\"11188224\"]\n  17 [size=\"32952320\", alpha=\"0.05\", expect_size=\"9885696\"] \n  17 -> 26 [size =\"9885696\"]\n  17 -> 29 [size =\"9885696\"]\n  17 -> 30 [size =\"9885696\"]\n  18 [size=\"28347733\", alpha=\"0.07\", expect_size=\"8504320\"] \n  18 -> 26 [size =\"8504320\"]\n  18 -> 27 [size =\"8504320\"]\n  18 -> 28 [size =\"8504320\"]\n  19 [size=\"96539307\", alpha=\"0.19\", expect_size=\"28961792\"] \n  19 -> 26 [size =\"28961792\"]\n  19 -> 27 [size =\"28961792\"]\n  20 [size=\"155436373\", alpha=\"0.19\", expect_size=\"46630912\"] \n  21 [size=\"36580693\", alpha=\"0.00\", expect_size=\"10974208\"] \n  21 -> 28 [size =\"10974208\"]\n  21 -> 29 [size =\"10974208\"]\n  21 -> 30 [size =\"10974208\"]\n  22 [size=\"18872320\", alpha=\"0.18\", expect_size=\"5661696\"] \n  22 -> 28 [size =\"5661696\"]\n  22 -> 29 [size =\"5661696\"]\n  23 [size=\"163689813\", alpha=\"0.09\", expect_size=\"49106944\"] \n  23 -> 28 [size =\"49106944\"]\n  23 -> 29 [size =\"49106944\"]\n  23 -> 30 [size =\"49106944\"]\n  24 [size=\"55511040\", alpha=\"0.17\", expect_size=\"16653312\"] \n  24 -> 27 [size =\"16653312\"]\n  24 -> 28 [size =\"16653312\"]\n  25 [size=\"44772693\", alpha=\"0.04\", expect_size=\"13431808\"] \n  25 -> 27 [size =\"13431808\"]\n  25 -> 28 [size =\"13431808\"]\n  26 [size=\"107335680\", alpha=\"0.11\", expect_size=\"32200704\"] \n  27 [size=\"142783147\", alpha=\"0.14\", expect_size=\"42834944\"] \n  28 [size=\"22807893\", alpha=\"0.06\", expect_size=\"6842368\"] \n  29 [size=\"76130987\", alpha=\"0.08\", expect_size=\"22839296\"] \n  30 [size=\"72168107\", alpha=\"0.13\", expect_size=\"21650432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69975040\", alpha=\"0.02\", expect_size=\"27990016\"] \n  1 -> 11 [size =\"27990016\"]\n  1 -> 12 [size =\"27990016\"]\n  1 -> 14 [size =\"27990016\"]\n  1 -> 16 [size =\"27990016\"]\n  1 -> 19 [size =\"27990016\"]\n  2 [size=\"93760000\", alpha=\"0.13\", expect_size=\"37504000\"] \n  2 -> 10 [size =\"37504000\"]\n  2 -> 11 [size =\"37504000\"]\n  2 -> 12 [size =\"37504000\"]\n  2 -> 13 [size =\"37504000\"]\n  2 -> 14 [size =\"37504000\"]\n  2 -> 16 [size =\"37504000\"]\n  2 -> 19 [size =\"37504000\"]\n  3 [size=\"19571200\", alpha=\"0.06\", expect_size=\"7828480\"] \n  3 -> 11 [size =\"7828480\"]\n  3 -> 12 [size =\"7828480\"]\n  3 -> 16 [size =\"7828480\"]\n  3 -> 19 [size =\"7828480\"]\n  4 [size=\"69703680\", alpha=\"0.07\", expect_size=\"27881472\"] \n  4 -> 13 [size =\"27881472\"]\n  4 -> 15 [size =\"27881472\"]\n  4 -> 16 [size =\"27881472\"]\n  4 -> 19 [size =\"27881472\"]\n  5 [size=\"114708480\", alpha=\"0.18\", expect_size=\"45883392\"] \n  5 -> 10 [size =\"45883392\"]\n  5 -> 13 [size =\"45883392\"]\n  5 -> 14 [size =\"45883392\"]\n  5 -> 15 [size =\"45883392\"]\n  5 -> 16 [size =\"45883392\"]\n  5 -> 19 [size =\"45883392\"]\n  6 [size=\"66073600\", alpha=\"0.18\", expect_size=\"26429440\"] \n  6 -> 10 [size =\"26429440\"]\n  6 -> 12 [size =\"26429440\"]\n  6 -> 13 [size =\"26429440\"]\n  6 -> 14 [size =\"26429440\"]\n  6 -> 15 [size =\"26429440\"]\n  6 -> 17 [size =\"26429440\"]\n  7 [size=\"80184320\", alpha=\"0.16\", expect_size=\"32073728\"] \n  7 -> 10 [size =\"32073728\"]\n  7 -> 11 [size =\"32073728\"]\n  7 -> 12 [size =\"32073728\"]\n  7 -> 13 [size =\"32073728\"]\n  7 -> 16 [size =\"32073728\"]\n  7 -> 18 [size =\"32073728\"]\n  7 -> 19 [size =\"32073728\"]\n  8 [size=\"55447040\", alpha=\"0.14\", expect_size=\"22178816\"] \n  8 -> 10 [size =\"22178816\"]\n  8 -> 13 [size =\"22178816\"]\n  8 -> 15 [size =\"22178816\"]\n  8 -> 18 [size =\"22178816\"]\n  8 -> 19 [size =\"22178816\"]\n  9 [size=\"88266240\", alpha=\"0.16\", expect_size=\"35306496\"] \n  9 -> 10 [size =\"35306496\"]\n  9 -> 14 [size =\"35306496\"]\n  9 -> 16 [size =\"35306496\"]\n  10 [size=\"22446080\", alpha=\"0.06\", expect_size=\"8978432\"] \n  10 -> 20 [size =\"8978432\"]\n  10 -> 21 [size =\"8978432\"]\n  10 -> 24 [size =\"8978432\"]\n  10 -> 25 [size =\"8978432\"]\n  11 [size=\"34224640\", alpha=\"0.05\", expect_size=\"13689856\"] \n  11 -> 20 [size =\"13689856\"]\n  11 -> 21 [size =\"13689856\"]\n  11 -> 23 [size =\"13689856\"]\n  11 -> 25 [size =\"13689856\"]\n  12 [size=\"47454720\", alpha=\"0.07\", expect_size=\"18981888\"] \n  12 -> 21 [size =\"18981888\"]\n  12 -> 21 [size =\"18981888\"]\n  12 -> 28 [size =\"18981888\"]\n  13 [size=\"123002880\", alpha=\"0.13\", expect_size=\"49201152\"] \n  13 -> 24 [size =\"49201152\"]\n  13 -> 25 [size =\"49201152\"]\n  13 -> 26 [size =\"49201152\"]\n  14 [size=\"42475520\", alpha=\"0.12\", expect_size=\"16990208\"] \n  14 -> 21 [size =\"16990208\"]\n  14 -> 24 [size =\"16990208\"]\n  14 -> 25 [size =\"16990208\"]\n  14 -> 26 [size =\"16990208\"]\n  15 [size=\"82311680\", alpha=\"0.18\", expect_size=\"32924672\"] \n  15 -> 20 [size =\"32924672\"]\n  15 -> 24 [size =\"32924672\"]\n  15 -> 25 [size =\"32924672\"]\n  15 -> 26 [size =\"32924672\"]\n  15 -> 27 [size =\"32924672\"]\n  16 [size=\"70364160\", alpha=\"0.08\", expect_size=\"28145664\"] \n  16 -> 24 [size =\"28145664\"]\n  16 -> 24 [size =\"28145664\"]\n  16 -> 25 [size =\"28145664\"]\n  16 -> 26 [size =\"28145664\"]\n  16 -> 27 [size =\"28145664\"]\n  17 [size=\"60264960\", alpha=\"0.19\", expect_size=\"24105984\"] \n  17 -> 21 [size =\"24105984\"]\n  17 -> 22 [size =\"24105984\"]\n  17 -> 24 [size =\"24105984\"]\n  17 -> 26 [size =\"24105984\"]\n  18 [size=\"34135040\", alpha=\"0.11\", expect_size=\"13654016\"] \n  18 -> 21 [size =\"13654016\"]\n  18 -> 24 [size =\"13654016\"]\n  18 -> 24 [size =\"13654016\"]\n  18 -> 25 [size =\"13654016\"]\n  18 -> 26 [size =\"13654016\"]\n  18 -> 28 [size =\"13654016\"]\n  19 [size=\"117637120\", alpha=\"0.13\", expect_size=\"47054848\"] \n  19 -> 20 [size =\"47054848\"]\n  19 -> 21 [size =\"47054848\"]\n  19 -> 23 [size =\"47054848\"]\n  19 -> 25 [size =\"47054848\"]\n  19 -> 26 [size =\"47054848\"]\n  20 [size=\"96750080\", alpha=\"0.16\", expect_size=\"38700032\"] \n  21 [size=\"130521600\", alpha=\"0.07\", expect_size=\"52208640\"] \n  22 [size=\"44413440\", alpha=\"0.13\", expect_size=\"17765376\"] \n  22 -> 29 [size =\"17765376\"]\n  23 [size=\"86438400\", alpha=\"0.20\", expect_size=\"34575360\"] \n  23 -> 29 [size =\"34575360\"]\n  24 [size=\"47631360\", alpha=\"0.16\", expect_size=\"19052544\"] \n  24 -> 29 [size =\"19052544\"]\n  24 -> 30 [size =\"19052544\"]\n  25 [size=\"119262720\", alpha=\"0.09\", expect_size=\"47705088\"] \n  25 -> 30 [size =\"47705088\"]\n  26 [size=\"105638400\", alpha=\"0.12\", expect_size=\"42255360\"] \n  26 -> 30 [size =\"42255360\"]\n  27 [size=\"37652480\", alpha=\"0.06\", expect_size=\"15060992\"] \n  27 -> 30 [size =\"15060992\"]\n  28 [size=\"29040640\", alpha=\"0.07\", expect_size=\"11616256\"] \n  28 -> 29 [size =\"11616256\"]\n  29 [size=\"93411840\", alpha=\"0.01\", expect_size=\"37364736\"] \n  30 [size=\"53831680\", alpha=\"0.16\", expect_size=\"21532672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56826880\", alpha=\"0.16\", expect_size=\"22730752\"] \n  1 -> 22 [size =\"22730752\"]\n  1 -> 25 [size =\"22730752\"]\n  1 -> 28 [size =\"22730752\"]\n  1 -> 30 [size =\"22730752\"]\n  2 [size=\"30279680\", alpha=\"0.11\", expect_size=\"12111872\"] \n  2 -> 22 [size =\"12111872\"]\n  2 -> 24 [size =\"12111872\"]\n  2 -> 28 [size =\"12111872\"]\n  2 -> 30 [size =\"12111872\"]\n  3 [size=\"72322560\", alpha=\"0.02\", expect_size=\"28929024\"] \n  3 -> 30 [size =\"28929024\"]\n  4 [size=\"48471040\", alpha=\"0.03\", expect_size=\"19388416\"] \n  4 -> 28 [size =\"19388416\"]\n  4 -> 30 [size =\"19388416\"]\n  5 [size=\"120483840\", alpha=\"0.18\", expect_size=\"48193536\"] \n  5 -> 26 [size =\"48193536\"]\n  5 -> 28 [size =\"48193536\"]\n  6 [size=\"21263360\", alpha=\"0.09\", expect_size=\"8505344\"] \n  6 -> 22 [size =\"8505344\"]\n  6 -> 28 [size =\"8505344\"]\n  6 -> 30 [size =\"8505344\"]\n  7 [size=\"102190080\", alpha=\"0.13\", expect_size=\"40876032\"] \n  8 [size=\"85678080\", alpha=\"0.16\", expect_size=\"34271232\"] \n  8 -> 25 [size =\"34271232\"]\n  9 [size=\"101109760\", alpha=\"0.18\", expect_size=\"40443904\"] \n  9 -> 22 [size =\"40443904\"]\n  9 -> 25 [size =\"40443904\"]\n  9 -> 28 [size =\"40443904\"]\n  9 -> 30 [size =\"40443904\"]\n  10 [size=\"19891200\", alpha=\"0.08\", expect_size=\"7956480\"] \n  10 -> 26 [size =\"7956480\"]\n  10 -> 27 [size =\"7956480\"]\n  10 -> 28 [size =\"7956480\"]\n  10 -> 29 [size =\"7956480\"]\n  10 -> 30 [size =\"7956480\"]\n  11 [size=\"106298880\", alpha=\"0.20\", expect_size=\"42519552\"] \n  11 -> 26 [size =\"42519552\"]\n  11 -> 27 [size =\"42519552\"]\n  11 -> 28 [size =\"42519552\"]\n  12 [size=\"80657920\", alpha=\"0.03\", expect_size=\"32263168\"] \n  12 -> 26 [size =\"32263168\"]\n  12 -> 28 [size =\"32263168\"]\n  13 [size=\"29547520\", alpha=\"0.11\", expect_size=\"11819008\"] \n  13 -> 22 [size =\"11819008\"]\n  13 -> 23 [size =\"11819008\"]\n  13 -> 25 [size =\"11819008\"]\n  13 -> 26 [size =\"11819008\"]\n  13 -> 28 [size =\"11819008\"]\n  13 -> 30 [size =\"11819008\"]\n  14 [size=\"39040000\", alpha=\"0.11\", expect_size=\"15616000\"] \n  14 -> 22 [size =\"15616000\"]\n  14 -> 26 [size =\"15616000\"]\n  14 -> 28 [size =\"15616000\"]\n  15 [size=\"54558720\", alpha=\"0.06\", expect_size=\"21823488\"] \n  15 -> 22 [size =\"21823488\"]\n  15 -> 26 [size =\"21823488\"]\n  15 -> 28 [size =\"21823488\"]\n  16 [size=\"42944000\", alpha=\"0.05\", expect_size=\"17177600\"] \n  16 -> 22 [size =\"17177600\"]\n  16 -> 24 [size =\"17177600\"]\n  16 -> 26 [size =\"17177600\"]\n  16 -> 28 [size =\"17177600\"]\n  17 [size=\"93524480\", alpha=\"0.02\", expect_size=\"37409792\"] \n  17 -> 22 [size =\"37409792\"]\n  17 -> 24 [size =\"37409792\"]\n  17 -> 26 [size =\"37409792\"]\n  17 -> 27 [size =\"37409792\"]\n  17 -> 28 [size =\"37409792\"]\n  18 [size=\"54576640\", alpha=\"0.01\", expect_size=\"21830656\"] \n  18 -> 22 [size =\"21830656\"]\n  18 -> 25 [size =\"21830656\"]\n  18 -> 28 [size =\"21830656\"]\n  18 -> 30 [size =\"21830656\"]\n  19 [size=\"29550080\", alpha=\"0.07\", expect_size=\"11820032\"] \n  19 -> 22 [size =\"11820032\"]\n  19 -> 26 [size =\"11820032\"]\n  19 -> 28 [size =\"11820032\"]\n  20 [size=\"18181120\", alpha=\"0.10\", expect_size=\"7272448\"] \n  20 -> 22 [size =\"7272448\"]\n  21 [size=\"67517440\", alpha=\"0.01\", expect_size=\"27006976\"] \n  21 -> 22 [size =\"27006976\"]\n  21 -> 26 [size =\"27006976\"]\n  22 [size=\"64619520\", alpha=\"0.14\", expect_size=\"25847808\"] \n  23 [size=\"84339200\", alpha=\"0.18\", expect_size=\"33735680\"] \n  24 [size=\"32161280\", alpha=\"0.07\", expect_size=\"12864512\"] \n  25 [size=\"99932160\", alpha=\"0.15\", expect_size=\"39972864\"] \n  26 [size=\"15718400\", alpha=\"0.04\", expect_size=\"6287360\"] \n  27 [size=\"46272000\", alpha=\"0.09\", expect_size=\"18508800\"] \n  28 [size=\"55728640\", alpha=\"0.05\", expect_size=\"22291456\"] \n  29 [size=\"60564480\", alpha=\"0.17\", expect_size=\"24225792\"] \n  30 [size=\"99302400\", alpha=\"0.10\", expect_size=\"39720960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36177920\", alpha=\"0.02\", expect_size=\"10853376\"] \n  1 -> 7 [size =\"10853376\"]\n  1 -> 8 [size =\"10853376\"]\n  2 [size=\"116650667\", alpha=\"0.05\", expect_size=\"34995200\"] \n  2 -> 7 [size =\"34995200\"]\n  3 [size=\"159286613\", alpha=\"0.15\", expect_size=\"47785984\"] \n  3 -> 6 [size =\"47785984\"]\n  3 -> 9 [size =\"47785984\"]\n  4 [size=\"112988160\", alpha=\"0.15\", expect_size=\"33896448\"] \n  4 -> 5 [size =\"33896448\"]\n  4 -> 7 [size =\"33896448\"]\n  5 [size=\"160781653\", alpha=\"0.02\", expect_size=\"48234496\"] \n  5 -> 15 [size =\"48234496\"]\n  6 [size=\"75776000\", alpha=\"0.15\", expect_size=\"22732800\"] \n  6 -> 11 [size =\"22732800\"]\n  6 -> 12 [size =\"22732800\"]\n  6 -> 14 [size =\"22732800\"]\n  6 -> 15 [size =\"22732800\"]\n  7 [size=\"45970773\", alpha=\"0.02\", expect_size=\"13791232\"] \n  7 -> 12 [size =\"13791232\"]\n  8 [size=\"49510400\", alpha=\"0.07\", expect_size=\"14853120\"] \n  8 -> 10 [size =\"14853120\"]\n  8 -> 11 [size =\"14853120\"]\n  9 [size=\"137922560\", alpha=\"0.11\", expect_size=\"41376768\"] \n  9 -> 10 [size =\"41376768\"]\n  9 -> 13 [size =\"41376768\"]\n  10 [size=\"162290347\", alpha=\"0.19\", expect_size=\"48687104\"] \n  10 -> 16 [size =\"48687104\"]\n  11 [size=\"30467413\", alpha=\"0.11\", expect_size=\"9140224\"] \n  11 -> 17 [size =\"9140224\"]\n  11 -> 18 [size =\"9140224\"]\n  12 [size=\"47080107\", alpha=\"0.17\", expect_size=\"14124032\"] \n  12 -> 18 [size =\"14124032\"]\n  13 [size=\"85254827\", alpha=\"0.10\", expect_size=\"25576448\"] \n  13 -> 16 [size =\"25576448\"]\n  13 -> 17 [size =\"25576448\"]\n  14 [size=\"49722027\", alpha=\"0.18\", expect_size=\"14916608\"] \n  14 -> 17 [size =\"14916608\"]\n  14 -> 17 [size =\"14916608\"]\n  15 [size=\"169861120\", alpha=\"0.06\", expect_size=\"50958336\"] \n  15 -> 19 [size =\"50958336\"]\n  16 [size=\"26634240\", alpha=\"0.05\", expect_size=\"7990272\"] \n  16 -> 20 [size =\"7990272\"]\n  16 -> 21 [size =\"7990272\"]\n  16 -> 22 [size =\"7990272\"]\n  17 [size=\"146711893\", alpha=\"0.09\", expect_size=\"44013568\"] \n  18 [size=\"163911680\", alpha=\"0.08\", expect_size=\"49173504\"] \n  18 -> 20 [size =\"49173504\"]\n  19 [size=\"60910933\", alpha=\"0.06\", expect_size=\"18273280\"] \n  19 -> 20 [size =\"18273280\"]\n  19 -> 22 [size =\"18273280\"]\n  20 [size=\"147080533\", alpha=\"0.06\", expect_size=\"44124160\"] \n  20 -> 23 [size =\"44124160\"]\n  20 -> 25 [size =\"44124160\"]\n  21 [size=\"142045867\", alpha=\"0.08\", expect_size=\"42613760\"] \n  21 -> 24 [size =\"42613760\"]\n  21 -> 25 [size =\"42613760\"]\n  22 [size=\"68983467\", alpha=\"0.03\", expect_size=\"20695040\"] \n  23 [size=\"47595520\", alpha=\"0.16\", expect_size=\"14278656\"] \n  23 -> 26 [size =\"14278656\"]\n  23 -> 28 [size =\"14278656\"]\n  24 [size=\"127143253\", alpha=\"0.01\", expect_size=\"38142976\"] \n  24 -> 26 [size =\"38142976\"]\n  25 [size=\"107970560\", alpha=\"0.04\", expect_size=\"32391168\"] \n  25 -> 27 [size =\"32391168\"]\n  25 -> 29 [size =\"32391168\"]\n  26 [size=\"158795093\", alpha=\"0.15\", expect_size=\"47638528\"] \n  27 [size=\"42639360\", alpha=\"0.09\", expect_size=\"12791808\"] \n  28 [size=\"115223893\", alpha=\"0.07\", expect_size=\"34567168\"] \n  28 -> 30 [size =\"34567168\"]\n  29 [size=\"18090667\", alpha=\"0.01\", expect_size=\"5427200\"] \n  29 -> 30 [size =\"5427200\"]\n  30 [size=\"62713173\", alpha=\"0.13\", expect_size=\"18813952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20643840\", alpha=\"0.13\", expect_size=\"6193152\"] \n  1 -> 10 [size =\"6193152\"]\n  1 -> 11 [size =\"6193152\"]\n  1 -> 15 [size =\"6193152\"]\n  1 -> 17 [size =\"6193152\"]\n  2 [size=\"56579413\", alpha=\"0.05\", expect_size=\"16973824\"] \n  2 -> 10 [size =\"16973824\"]\n  2 -> 12 [size =\"16973824\"]\n  2 -> 13 [size =\"16973824\"]\n  3 [size=\"36447573\", alpha=\"0.02\", expect_size=\"10934272\"] \n  3 -> 11 [size =\"10934272\"]\n  3 -> 13 [size =\"10934272\"]\n  3 -> 14 [size =\"10934272\"]\n  4 [size=\"149835093\", alpha=\"0.11\", expect_size=\"44950528\"] \n  4 -> 14 [size =\"44950528\"]\n  5 [size=\"116807680\", alpha=\"0.15\", expect_size=\"35042304\"] \n  5 -> 10 [size =\"35042304\"]\n  5 -> 14 [size =\"35042304\"]\n  6 [size=\"30132907\", alpha=\"0.01\", expect_size=\"9039872\"] \n  7 [size=\"93972480\", alpha=\"0.18\", expect_size=\"28191744\"] \n  7 -> 14 [size =\"28191744\"]\n  7 -> 15 [size =\"28191744\"]\n  8 [size=\"50708480\", alpha=\"0.11\", expect_size=\"15212544\"] \n  8 -> 10 [size =\"15212544\"]\n  8 -> 15 [size =\"15212544\"]\n  8 -> 17 [size =\"15212544\"]\n  9 [size=\"61661867\", alpha=\"0.13\", expect_size=\"18498560\"] \n  9 -> 14 [size =\"18498560\"]\n  9 -> 16 [size =\"18498560\"]\n  10 [size=\"132297387\", alpha=\"0.04\", expect_size=\"39689216\"] \n  10 -> 19 [size =\"39689216\"]\n  10 -> 21 [size =\"39689216\"]\n  10 -> 24 [size =\"39689216\"]\n  11 [size=\"28258987\", alpha=\"0.15\", expect_size=\"8477696\"] \n  11 -> 20 [size =\"8477696\"]\n  12 [size=\"128406187\", alpha=\"0.19\", expect_size=\"38521856\"] \n  12 -> 18 [size =\"38521856\"]\n  12 -> 19 [size =\"38521856\"]\n  12 -> 20 [size =\"38521856\"]\n  13 [size=\"164580693\", alpha=\"0.18\", expect_size=\"49374208\"] \n  13 -> 19 [size =\"49374208\"]\n  13 -> 25 [size =\"49374208\"]\n  14 [size=\"26596693\", alpha=\"0.06\", expect_size=\"7979008\"] \n  14 -> 18 [size =\"7979008\"]\n  14 -> 21 [size =\"7979008\"]\n  14 -> 22 [size =\"7979008\"]\n  14 -> 24 [size =\"7979008\"]\n  14 -> 25 [size =\"7979008\"]\n  14 -> 27 [size =\"7979008\"]\n  15 [size=\"113199787\", alpha=\"0.18\", expect_size=\"33959936\"] \n  15 -> 23 [size =\"33959936\"]\n  15 -> 24 [size =\"33959936\"]\n  15 -> 26 [size =\"33959936\"]\n  15 -> 27 [size =\"33959936\"]\n  16 [size=\"73270613\", alpha=\"0.19\", expect_size=\"21981184\"] \n  16 -> 19 [size =\"21981184\"]\n  16 -> 26 [size =\"21981184\"]\n  16 -> 27 [size =\"21981184\"]\n  17 [size=\"79278080\", alpha=\"0.01\", expect_size=\"23783424\"] \n  17 -> 20 [size =\"23783424\"]\n  17 -> 21 [size =\"23783424\"]\n  17 -> 23 [size =\"23783424\"]\n  17 -> 24 [size =\"23783424\"]\n  18 [size=\"60241920\", alpha=\"0.03\", expect_size=\"18072576\"] \n  18 -> 30 [size =\"18072576\"]\n  19 [size=\"149678080\", alpha=\"0.09\", expect_size=\"44903424\"] \n  19 -> 29 [size =\"44903424\"]\n  20 [size=\"90876587\", alpha=\"0.03\", expect_size=\"27262976\"] \n  20 -> 29 [size =\"27262976\"]\n  21 [size=\"123347627\", alpha=\"0.17\", expect_size=\"37004288\"] \n  21 -> 30 [size =\"37004288\"]\n  22 [size=\"81554773\", alpha=\"0.17\", expect_size=\"24466432\"] \n  22 -> 28 [size =\"24466432\"]\n  22 -> 30 [size =\"24466432\"]\n  23 [size=\"74816853\", alpha=\"0.18\", expect_size=\"22445056\"] \n  24 [size=\"59617280\", alpha=\"0.17\", expect_size=\"17885184\"] \n  25 [size=\"103492267\", alpha=\"0.08\", expect_size=\"31047680\"] \n  25 -> 28 [size =\"31047680\"]\n  26 [size=\"88418987\", alpha=\"0.01\", expect_size=\"26525696\"] \n  26 -> 29 [size =\"26525696\"]\n  27 [size=\"80244053\", alpha=\"0.04\", expect_size=\"24073216\"] \n  27 -> 29 [size =\"24073216\"]\n  27 -> 30 [size =\"24073216\"]\n  28 [size=\"87678293\", alpha=\"0.11\", expect_size=\"26303488\"] \n  29 [size=\"108513280\", alpha=\"0.03\", expect_size=\"32553984\"] \n  30 [size=\"21411840\", alpha=\"0.10\", expect_size=\"6423552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128499200\", alpha=\"0.19\", expect_size=\"51399680\"] \n  1 -> 14 [size =\"51399680\"]\n  1 -> 16 [size =\"51399680\"]\n  1 -> 17 [size =\"51399680\"]\n  1 -> 18 [size =\"51399680\"]\n  1 -> 21 [size =\"51399680\"]\n  1 -> 22 [size =\"51399680\"]\n  1 -> 25 [size =\"51399680\"]\n  1 -> 26 [size =\"51399680\"]\n  2 [size=\"55390720\", alpha=\"0.17\", expect_size=\"22156288\"] \n  2 -> 14 [size =\"22156288\"]\n  2 -> 17 [size =\"22156288\"]\n  2 -> 22 [size =\"22156288\"]\n  2 -> 24 [size =\"22156288\"]\n  2 -> 25 [size =\"22156288\"]\n  2 -> 26 [size =\"22156288\"]\n  3 [size=\"119193600\", alpha=\"0.15\", expect_size=\"47677440\"] \n  3 -> 14 [size =\"47677440\"]\n  3 -> 17 [size =\"47677440\"]\n  3 -> 18 [size =\"47677440\"]\n  3 -> 22 [size =\"47677440\"]\n  3 -> 23 [size =\"47677440\"]\n  3 -> 24 [size =\"47677440\"]\n  3 -> 25 [size =\"47677440\"]\n  3 -> 26 [size =\"47677440\"]\n  4 [size=\"63326720\", alpha=\"0.17\", expect_size=\"25330688\"] \n  4 -> 15 [size =\"25330688\"]\n  4 -> 18 [size =\"25330688\"]\n  4 -> 20 [size =\"25330688\"]\n  4 -> 21 [size =\"25330688\"]\n  4 -> 22 [size =\"25330688\"]\n  4 -> 23 [size =\"25330688\"]\n  4 -> 25 [size =\"25330688\"]\n  5 [size=\"68641280\", alpha=\"0.13\", expect_size=\"27456512\"] \n  5 -> 14 [size =\"27456512\"]\n  5 -> 18 [size =\"27456512\"]\n  5 -> 22 [size =\"27456512\"]\n  5 -> 23 [size =\"27456512\"]\n  5 -> 25 [size =\"27456512\"]\n  6 [size=\"28935680\", alpha=\"0.04\", expect_size=\"11574272\"] \n  6 -> 14 [size =\"11574272\"]\n  6 -> 17 [size =\"11574272\"]\n  6 -> 19 [size =\"11574272\"]\n  6 -> 22 [size =\"11574272\"]\n  6 -> 23 [size =\"11574272\"]\n  6 -> 25 [size =\"11574272\"]\n  6 -> 26 [size =\"11574272\"]\n  7 [size=\"30694400\", alpha=\"0.17\", expect_size=\"12277760\"] \n  7 -> 14 [size =\"12277760\"]\n  7 -> 17 [size =\"12277760\"]\n  7 -> 21 [size =\"12277760\"]\n  7 -> 22 [size =\"12277760\"]\n  7 -> 23 [size =\"12277760\"]\n  7 -> 24 [size =\"12277760\"]\n  7 -> 25 [size =\"12277760\"]\n  7 -> 26 [size =\"12277760\"]\n  8 [size=\"53399040\", alpha=\"0.00\", expect_size=\"21359616\"] \n  8 -> 17 [size =\"21359616\"]\n  8 -> 21 [size =\"21359616\"]\n  8 -> 22 [size =\"21359616\"]\n  8 -> 22 [size =\"21359616\"]\n  9 [size=\"126832640\", alpha=\"0.09\", expect_size=\"50733056\"] \n  9 -> 14 [size =\"50733056\"]\n  9 -> 15 [size =\"50733056\"]\n  9 -> 17 [size =\"50733056\"]\n  9 -> 18 [size =\"50733056\"]\n  9 -> 21 [size =\"50733056\"]\n  9 -> 26 [size =\"50733056\"]\n  10 [size=\"56017920\", alpha=\"0.13\", expect_size=\"22407168\"] \n  10 -> 14 [size =\"22407168\"]\n  10 -> 18 [size =\"22407168\"]\n  10 -> 20 [size =\"22407168\"]\n  10 -> 21 [size =\"22407168\"]\n  10 -> 21 [size =\"22407168\"]\n  10 -> 23 [size =\"22407168\"]\n  10 -> 25 [size =\"22407168\"]\n  10 -> 26 [size =\"22407168\"]\n  11 [size=\"19064320\", alpha=\"0.01\", expect_size=\"7625728\"] \n  11 -> 14 [size =\"7625728\"]\n  11 -> 16 [size =\"7625728\"]\n  11 -> 17 [size =\"7625728\"]\n  11 -> 18 [size =\"7625728\"]\n  11 -> 19 [size =\"7625728\"]\n  11 -> 22 [size =\"7625728\"]\n  11 -> 23 [size =\"7625728\"]\n  11 -> 24 [size =\"7625728\"]\n  11 -> 25 [size =\"7625728\"]\n  11 -> 26 [size =\"7625728\"]\n  12 [size=\"15605760\", alpha=\"0.17\", expect_size=\"6242304\"] \n  12 -> 14 [size =\"6242304\"]\n  12 -> 17 [size =\"6242304\"]\n  12 -> 18 [size =\"6242304\"]\n  12 -> 19 [size =\"6242304\"]\n  12 -> 22 [size =\"6242304\"]\n  12 -> 23 [size =\"6242304\"]\n  12 -> 24 [size =\"6242304\"]\n  12 -> 25 [size =\"6242304\"]\n  12 -> 26 [size =\"6242304\"]\n  12 -> 26 [size =\"6242304\"]\n  13 [size=\"114096640\", alpha=\"0.10\", expect_size=\"45638656\"] \n  13 -> 14 [size =\"45638656\"]\n  13 -> 17 [size =\"45638656\"]\n  13 -> 20 [size =\"45638656\"]\n  13 -> 21 [size =\"45638656\"]\n  13 -> 22 [size =\"45638656\"]\n  13 -> 24 [size =\"45638656\"]\n  13 -> 25 [size =\"45638656\"]\n  13 -> 26 [size =\"45638656\"]\n  13 -> 27 [size =\"45638656\"]\n  14 [size=\"87083520\", alpha=\"0.19\", expect_size=\"34833408\"] \n  14 -> 29 [size =\"34833408\"]\n  14 -> 29 [size =\"34833408\"]\n  14 -> 30 [size =\"34833408\"]\n  15 [size=\"70504960\", alpha=\"0.09\", expect_size=\"28201984\"] \n  15 -> 29 [size =\"28201984\"]\n  16 [size=\"29688320\", alpha=\"0.17\", expect_size=\"11875328\"] \n  16 -> 28 [size =\"11875328\"]\n  16 -> 29 [size =\"11875328\"]\n  17 [size=\"51883520\", alpha=\"0.04\", expect_size=\"20753408\"] \n  17 -> 28 [size =\"20753408\"]\n  17 -> 30 [size =\"20753408\"]\n  18 [size=\"33026560\", alpha=\"0.08\", expect_size=\"13210624\"] \n  18 -> 28 [size =\"13210624\"]\n  18 -> 30 [size =\"13210624\"]\n  19 [size=\"33280000\", alpha=\"0.07\", expect_size=\"13312000\"] \n  19 -> 28 [size =\"13312000\"]\n  19 -> 29 [size =\"13312000\"]\n  19 -> 30 [size =\"13312000\"]\n  20 [size=\"84851200\", alpha=\"0.09\", expect_size=\"33940480\"] \n  20 -> 28 [size =\"33940480\"]\n  20 -> 29 [size =\"33940480\"]\n  21 [size=\"43217920\", alpha=\"0.11\", expect_size=\"17287168\"] \n  21 -> 28 [size =\"17287168\"]\n  21 -> 29 [size =\"17287168\"]\n  22 [size=\"47070720\", alpha=\"0.00\", expect_size=\"18828288\"] \n  22 -> 28 [size =\"18828288\"]\n  23 [size=\"31511040\", alpha=\"0.08\", expect_size=\"12604416\"] \n  23 -> 28 [size =\"12604416\"]\n  23 -> 29 [size =\"12604416\"]\n  24 [size=\"90938880\", alpha=\"0.03\", expect_size=\"36375552\"] \n  24 -> 29 [size =\"36375552\"]\n  25 [size=\"84364800\", alpha=\"0.08\", expect_size=\"33745920\"] \n  25 -> 29 [size =\"33745920\"]\n  25 -> 30 [size =\"33745920\"]\n  26 [size=\"17556480\", alpha=\"0.16\", expect_size=\"7022592\"] \n  26 -> 29 [size =\"7022592\"]\n  27 [size=\"115671040\", alpha=\"0.07\", expect_size=\"46268416\"] \n  27 -> 28 [size =\"46268416\"]\n  27 -> 29 [size =\"46268416\"]\n  27 -> 30 [size =\"46268416\"]\n  28 [size=\"23280640\", alpha=\"0.05\", expect_size=\"9312256\"] \n  29 [size=\"67988480\", alpha=\"0.01\", expect_size=\"27195392\"] \n  30 [size=\"107691520\", alpha=\"0.06\", expect_size=\"43076608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92354560\", alpha=\"0.11\", expect_size=\"27706368\"] \n  1 -> 2 [size =\"27706368\"]\n  2 [size=\"67669333\", alpha=\"0.13\", expect_size=\"20300800\"] \n  2 -> 3 [size =\"20300800\"]\n  3 [size=\"90538667\", alpha=\"0.01\", expect_size=\"27161600\"] \n  3 -> 4 [size =\"27161600\"]\n  4 [size=\"89924267\", alpha=\"0.01\", expect_size=\"26977280\"] \n  4 -> 5 [size =\"26977280\"]\n  5 [size=\"134925653\", alpha=\"0.14\", expect_size=\"40477696\"] \n  5 -> 6 [size =\"40477696\"]\n  6 [size=\"143711573\", alpha=\"0.12\", expect_size=\"43113472\"] \n  6 -> 7 [size =\"43113472\"]\n  7 [size=\"157576533\", alpha=\"0.02\", expect_size=\"47272960\"] \n  7 -> 8 [size =\"47272960\"]\n  8 [size=\"112510293\", alpha=\"0.13\", expect_size=\"33753088\"] \n  8 -> 9 [size =\"33753088\"]\n  9 [size=\"164597760\", alpha=\"0.19\", expect_size=\"49379328\"] \n  9 -> 10 [size =\"49379328\"]\n  10 [size=\"164672853\", alpha=\"0.18\", expect_size=\"49401856\"] \n  10 -> 11 [size =\"49401856\"]\n  11 [size=\"146804053\", alpha=\"0.09\", expect_size=\"44041216\"] \n  11 -> 12 [size =\"44041216\"]\n  12 [size=\"78441813\", alpha=\"0.20\", expect_size=\"23532544\"] \n  12 -> 13 [size =\"23532544\"]\n  13 [size=\"26395307\", alpha=\"0.13\", expect_size=\"7918592\"] \n  13 -> 14 [size =\"7918592\"]\n  14 [size=\"32279893\", alpha=\"0.15\", expect_size=\"9683968\"] \n  14 -> 15 [size =\"9683968\"]\n  15 [size=\"43318613\", alpha=\"0.06\", expect_size=\"12995584\"] \n  15 -> 16 [size =\"12995584\"]\n  16 [size=\"152449707\", alpha=\"0.03\", expect_size=\"45734912\"] \n  16 -> 17 [size =\"45734912\"]\n  17 [size=\"92235093\", alpha=\"0.12\", expect_size=\"27670528\"] \n  17 -> 18 [size =\"27670528\"]\n  18 [size=\"105512960\", alpha=\"0.07\", expect_size=\"31653888\"] \n  18 -> 19 [size =\"31653888\"]\n  19 [size=\"46865067\", alpha=\"0.20\", expect_size=\"14059520\"] \n  19 -> 20 [size =\"14059520\"]\n  20 [size=\"36556800\", alpha=\"0.07\", expect_size=\"10967040\"] \n  20 -> 21 [size =\"10967040\"]\n  21 [size=\"21401600\", alpha=\"0.04\", expect_size=\"6420480\"] \n  21 -> 22 [size =\"6420480\"]\n  22 [size=\"90903893\", alpha=\"0.07\", expect_size=\"27271168\"] \n  22 -> 23 [size =\"27271168\"]\n  23 [size=\"89432747\", alpha=\"0.20\", expect_size=\"26829824\"] \n  23 -> 24 [size =\"26829824\"]\n  24 [size=\"37406720\", alpha=\"0.01\", expect_size=\"11222016\"] \n  24 -> 25 [size =\"11222016\"]\n  25 [size=\"152289280\", alpha=\"0.18\", expect_size=\"45686784\"] \n  25 -> 26 [size =\"45686784\"]\n  26 [size=\"43663360\", alpha=\"0.11\", expect_size=\"13099008\"] \n  26 -> 27 [size =\"13099008\"]\n  27 [size=\"64686080\", alpha=\"0.01\", expect_size=\"19405824\"] \n  27 -> 28 [size =\"19405824\"]\n  28 [size=\"155129173\", alpha=\"0.04\", expect_size=\"46538752\"] \n  28 -> 29 [size =\"46538752\"]\n  29 [size=\"53381120\", alpha=\"0.05\", expect_size=\"16014336\"] \n  29 -> 30 [size =\"16014336\"]\n  30 [size=\"52316160\", alpha=\"0.05\", expect_size=\"15694848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162645333\", alpha=\"0.01\", expect_size=\"48793600\"] \n  1 -> 6 [size =\"48793600\"]\n  1 -> 8 [size =\"48793600\"]\n  1 -> 10 [size =\"48793600\"]\n  2 [size=\"41304747\", alpha=\"0.14\", expect_size=\"12391424\"] \n  2 -> 7 [size =\"12391424\"]\n  2 -> 9 [size =\"12391424\"]\n  2 -> 10 [size =\"12391424\"]\n  3 [size=\"23797760\", alpha=\"0.08\", expect_size=\"7139328\"] \n  3 -> 6 [size =\"7139328\"]\n  3 -> 7 [size =\"7139328\"]\n  3 -> 8 [size =\"7139328\"]\n  3 -> 9 [size =\"7139328\"]\n  4 [size=\"72198827\", alpha=\"0.10\", expect_size=\"21659648\"] \n  4 -> 6 [size =\"21659648\"]\n  4 -> 7 [size =\"21659648\"]\n  4 -> 9 [size =\"21659648\"]\n  4 -> 10 [size =\"21659648\"]\n  5 [size=\"130085547\", alpha=\"0.15\", expect_size=\"39025664\"] \n  5 -> 8 [size =\"39025664\"]\n  6 [size=\"140721493\", alpha=\"0.16\", expect_size=\"42216448\"] \n  6 -> 14 [size =\"42216448\"]\n  6 -> 15 [size =\"42216448\"]\n  7 [size=\"35102720\", alpha=\"0.17\", expect_size=\"10530816\"] \n  7 -> 14 [size =\"10530816\"]\n  7 -> 15 [size =\"10530816\"]\n  8 [size=\"38208853\", alpha=\"0.12\", expect_size=\"11462656\"] \n  8 -> 11 [size =\"11462656\"]\n  8 -> 12 [size =\"11462656\"]\n  8 -> 13 [size =\"11462656\"]\n  8 -> 15 [size =\"11462656\"]\n  9 [size=\"19234133\", alpha=\"0.07\", expect_size=\"5770240\"] \n  9 -> 12 [size =\"5770240\"]\n  9 -> 14 [size =\"5770240\"]\n  9 -> 15 [size =\"5770240\"]\n  10 [size=\"37372587\", alpha=\"0.16\", expect_size=\"11211776\"] \n  10 -> 13 [size =\"11211776\"]\n  11 [size=\"49445547\", alpha=\"0.04\", expect_size=\"14833664\"] \n  11 -> 17 [size =\"14833664\"]\n  11 -> 18 [size =\"14833664\"]\n  11 -> 19 [size =\"14833664\"]\n  12 [size=\"59535360\", alpha=\"0.16\", expect_size=\"17860608\"] \n  12 -> 17 [size =\"17860608\"]\n  12 -> 18 [size =\"17860608\"]\n  12 -> 19 [size =\"17860608\"]\n  13 [size=\"173247147\", alpha=\"0.13\", expect_size=\"51974144\"] \n  13 -> 16 [size =\"51974144\"]\n  13 -> 17 [size =\"51974144\"]\n  13 -> 19 [size =\"51974144\"]\n  14 [size=\"76298240\", alpha=\"0.17\", expect_size=\"22889472\"] \n  14 -> 18 [size =\"22889472\"]\n  15 [size=\"156992853\", alpha=\"0.13\", expect_size=\"47097856\"] \n  15 -> 18 [size =\"47097856\"]\n  15 -> 19 [size =\"47097856\"]\n  16 [size=\"117452800\", alpha=\"0.05\", expect_size=\"35235840\"] \n  16 -> 23 [size =\"35235840\"]\n  16 -> 24 [size =\"35235840\"]\n  17 [size=\"84456107\", alpha=\"0.13\", expect_size=\"25336832\"] \n  17 -> 20 [size =\"25336832\"]\n  17 -> 22 [size =\"25336832\"]\n  17 -> 24 [size =\"25336832\"]\n  18 [size=\"59706027\", alpha=\"0.14\", expect_size=\"17911808\"] \n  18 -> 21 [size =\"17911808\"]\n  18 -> 24 [size =\"17911808\"]\n  19 [size=\"151118507\", alpha=\"0.06\", expect_size=\"45335552\"] \n  19 -> 20 [size =\"45335552\"]\n  20 [size=\"52125013\", alpha=\"0.13\", expect_size=\"15637504\"] \n  20 -> 26 [size =\"15637504\"]\n  20 -> 28 [size =\"15637504\"]\n  21 [size=\"17506987\", alpha=\"0.18\", expect_size=\"5252096\"] \n  21 -> 26 [size =\"5252096\"]\n  21 -> 28 [size =\"5252096\"]\n  22 [size=\"52483413\", alpha=\"0.06\", expect_size=\"15745024\"] \n  22 -> 27 [size =\"15745024\"]\n  23 [size=\"23098027\", alpha=\"0.15\", expect_size=\"6929408\"] \n  23 -> 28 [size =\"6929408\"]\n  24 [size=\"125532160\", alpha=\"0.11\", expect_size=\"37659648\"] \n  24 -> 25 [size =\"37659648\"]\n  24 -> 26 [size =\"37659648\"]\n  24 -> 27 [size =\"37659648\"]\n  24 -> 28 [size =\"37659648\"]\n  25 [size=\"98566827\", alpha=\"0.02\", expect_size=\"29570048\"] \n  25 -> 29 [size =\"29570048\"]\n  26 [size=\"44352853\", alpha=\"0.08\", expect_size=\"13305856\"] \n  27 [size=\"80636587\", alpha=\"0.16\", expect_size=\"24190976\"] \n  27 -> 29 [size =\"24190976\"]\n  27 -> 30 [size =\"24190976\"]\n  28 [size=\"24661333\", alpha=\"0.07\", expect_size=\"7398400\"] \n  28 -> 29 [size =\"7398400\"]\n  29 [size=\"134669653\", alpha=\"0.18\", expect_size=\"40400896\"] \n  30 [size=\"22838613\", alpha=\"0.12\", expect_size=\"6851584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77588480\", alpha=\"0.17\", expect_size=\"31035392\"] \n  1 -> 3 [size =\"31035392\"]\n  1 -> 4 [size =\"31035392\"]\n  2 [size=\"95459840\", alpha=\"0.05\", expect_size=\"38183936\"] \n  3 [size=\"81743360\", alpha=\"0.05\", expect_size=\"32697344\"] \n  3 -> 5 [size =\"32697344\"]\n  3 -> 6 [size =\"32697344\"]\n  4 [size=\"111104000\", alpha=\"0.06\", expect_size=\"44441600\"] \n  4 -> 5 [size =\"44441600\"]\n  5 [size=\"63825920\", alpha=\"0.04\", expect_size=\"25530368\"] \n  5 -> 8 [size =\"25530368\"]\n  6 [size=\"35417600\", alpha=\"0.01\", expect_size=\"14167040\"] \n  6 -> 7 [size =\"14167040\"]\n  7 [size=\"130142720\", alpha=\"0.03\", expect_size=\"52057088\"] \n  8 [size=\"40294400\", alpha=\"0.11\", expect_size=\"16117760\"] \n  8 -> 9 [size =\"16117760\"]\n  9 [size=\"43960320\", alpha=\"0.17\", expect_size=\"17584128\"] \n  9 -> 10 [size =\"17584128\"]\n  9 -> 11 [size =\"17584128\"]\n  10 [size=\"21447680\", alpha=\"0.01\", expect_size=\"8579072\"] \n  11 [size=\"128394240\", alpha=\"0.11\", expect_size=\"51357696\"] \n  11 -> 12 [size =\"51357696\"]\n  11 -> 13 [size =\"51357696\"]\n  12 [size=\"112473600\", alpha=\"0.07\", expect_size=\"44989440\"] \n  12 -> 15 [size =\"44989440\"]\n  13 [size=\"24977920\", alpha=\"0.14\", expect_size=\"9991168\"] \n  13 -> 14 [size =\"9991168\"]\n  13 -> 15 [size =\"9991168\"]\n  14 [size=\"53690880\", alpha=\"0.18\", expect_size=\"21476352\"] \n  14 -> 16 [size =\"21476352\"]\n  15 [size=\"91896320\", alpha=\"0.19\", expect_size=\"36758528\"] \n  16 [size=\"117777920\", alpha=\"0.02\", expect_size=\"47111168\"] \n  16 -> 17 [size =\"47111168\"]\n  17 [size=\"126169600\", alpha=\"0.16\", expect_size=\"50467840\"] \n  17 -> 18 [size =\"50467840\"]\n  17 -> 19 [size =\"50467840\"]\n  18 [size=\"22999040\", alpha=\"0.03\", expect_size=\"9199616\"] \n  18 -> 20 [size =\"9199616\"]\n  19 [size=\"86801920\", alpha=\"0.13\", expect_size=\"34720768\"] \n  19 -> 20 [size =\"34720768\"]\n  20 [size=\"70656000\", alpha=\"0.17\", expect_size=\"28262400\"] \n  20 -> 21 [size =\"28262400\"]\n  21 [size=\"78919680\", alpha=\"0.13\", expect_size=\"31567872\"] \n  21 -> 22 [size =\"31567872\"]\n  22 [size=\"24995840\", alpha=\"0.02\", expect_size=\"9998336\"] \n  22 -> 23 [size =\"9998336\"]\n  23 [size=\"67727360\", alpha=\"0.03\", expect_size=\"27090944\"] \n  23 -> 24 [size =\"27090944\"]\n  23 -> 25 [size =\"27090944\"]\n  24 [size=\"32048640\", alpha=\"0.01\", expect_size=\"12819456\"] \n  25 [size=\"18332160\", alpha=\"0.07\", expect_size=\"7332864\"] \n  25 -> 26 [size =\"7332864\"]\n  25 -> 27 [size =\"7332864\"]\n  26 [size=\"128227840\", alpha=\"0.17\", expect_size=\"51291136\"] \n  26 -> 28 [size =\"51291136\"]\n  27 [size=\"22159360\", alpha=\"0.07\", expect_size=\"8863744\"] \n  27 -> 28 [size =\"8863744\"]\n  28 [size=\"114816000\", alpha=\"0.01\", expect_size=\"45926400\"] \n  28 -> 29 [size =\"45926400\"]\n  28 -> 30 [size =\"45926400\"]\n  29 [size=\"13800960\", alpha=\"0.01\", expect_size=\"5520384\"] \n  30 [size=\"90460160\", alpha=\"0.02\", expect_size=\"36184064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103533227\", alpha=\"0.10\", expect_size=\"31059968\"] \n  1 -> 2 [size =\"31059968\"]\n  2 [size=\"103492267\", alpha=\"0.20\", expect_size=\"31047680\"] \n  2 -> 3 [size =\"31047680\"]\n  3 [size=\"70813013\", alpha=\"0.02\", expect_size=\"21243904\"] \n  3 -> 4 [size =\"21243904\"]\n  4 [size=\"96593920\", alpha=\"0.16\", expect_size=\"28978176\"] \n  4 -> 5 [size =\"28978176\"]\n  5 [size=\"55350613\", alpha=\"0.10\", expect_size=\"16605184\"] \n  5 -> 6 [size =\"16605184\"]\n  6 [size=\"103127040\", alpha=\"0.12\", expect_size=\"30938112\"] \n  6 -> 7 [size =\"30938112\"]\n  7 [size=\"61197653\", alpha=\"0.09\", expect_size=\"18359296\"] \n  7 -> 8 [size =\"18359296\"]\n  8 [size=\"157955413\", alpha=\"0.01\", expect_size=\"47386624\"] \n  8 -> 9 [size =\"47386624\"]\n  9 [size=\"88528213\", alpha=\"0.12\", expect_size=\"26558464\"] \n  9 -> 10 [size =\"26558464\"]\n  10 [size=\"49390933\", alpha=\"0.12\", expect_size=\"14817280\"] \n  10 -> 11 [size =\"14817280\"]\n  11 [size=\"98013867\", alpha=\"0.08\", expect_size=\"29404160\"] \n  11 -> 12 [size =\"29404160\"]\n  12 [size=\"18688000\", alpha=\"0.03\", expect_size=\"5606400\"] \n  12 -> 13 [size =\"5606400\"]\n  13 [size=\"173359787\", alpha=\"0.07\", expect_size=\"52007936\"] \n  13 -> 14 [size =\"52007936\"]\n  14 [size=\"29682347\", alpha=\"0.00\", expect_size=\"8904704\"] \n  14 -> 15 [size =\"8904704\"]\n  15 [size=\"151767040\", alpha=\"0.20\", expect_size=\"45530112\"] \n  15 -> 16 [size =\"45530112\"]\n  16 [size=\"76898987\", alpha=\"0.13\", expect_size=\"23069696\"] \n  16 -> 17 [size =\"23069696\"]\n  17 [size=\"171144533\", alpha=\"0.03\", expect_size=\"51343360\"] \n  17 -> 18 [size =\"51343360\"]\n  18 [size=\"86804480\", alpha=\"0.02\", expect_size=\"26041344\"] \n  18 -> 19 [size =\"26041344\"]\n  19 [size=\"96303787\", alpha=\"0.05\", expect_size=\"28891136\"] \n  19 -> 20 [size =\"28891136\"]\n  20 [size=\"32146773\", alpha=\"0.11\", expect_size=\"9644032\"] \n  20 -> 21 [size =\"9644032\"]\n  21 [size=\"126074880\", alpha=\"0.08\", expect_size=\"37822464\"] \n  21 -> 22 [size =\"37822464\"]\n  22 [size=\"34187947\", alpha=\"0.15\", expect_size=\"10256384\"] \n  22 -> 23 [size =\"10256384\"]\n  23 [size=\"54801067\", alpha=\"0.10\", expect_size=\"16440320\"] \n  23 -> 24 [size =\"16440320\"]\n  24 [size=\"112694613\", alpha=\"0.14\", expect_size=\"33808384\"] \n  24 -> 25 [size =\"33808384\"]\n  25 [size=\"114100907\", alpha=\"0.03\", expect_size=\"34230272\"] \n  25 -> 26 [size =\"34230272\"]\n  26 [size=\"110830933\", alpha=\"0.03\", expect_size=\"33249280\"] \n  26 -> 27 [size =\"33249280\"]\n  27 [size=\"59381760\", alpha=\"0.09\", expect_size=\"17814528\"] \n  27 -> 28 [size =\"17814528\"]\n  28 [size=\"83613013\", alpha=\"0.13\", expect_size=\"25083904\"] \n  28 -> 29 [size =\"25083904\"]\n  29 [size=\"99723947\", alpha=\"0.05\", expect_size=\"29917184\"] \n  29 -> 30 [size =\"29917184\"]\n  30 [size=\"140827307\", alpha=\"0.02\", expect_size=\"42248192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46417920\", alpha=\"0.04\", expect_size=\"13925376\"] \n  1 -> 2 [size =\"13925376\"]\n  2 [size=\"98641920\", alpha=\"0.07\", expect_size=\"29592576\"] \n  2 -> 3 [size =\"29592576\"]\n  3 [size=\"161566720\", alpha=\"0.15\", expect_size=\"48470016\"] \n  3 -> 4 [size =\"48470016\"]\n  3 -> 5 [size =\"48470016\"]\n  4 [size=\"144056320\", alpha=\"0.18\", expect_size=\"43216896\"] \n  5 [size=\"63679147\", alpha=\"0.17\", expect_size=\"19103744\"] \n  5 -> 6 [size =\"19103744\"]\n  6 [size=\"135632213\", alpha=\"0.16\", expect_size=\"40689664\"] \n  6 -> 7 [size =\"40689664\"]\n  6 -> 8 [size =\"40689664\"]\n  7 [size=\"129430187\", alpha=\"0.17\", expect_size=\"38829056\"] \n  8 [size=\"170673493\", alpha=\"0.08\", expect_size=\"51202048\"] \n  8 -> 9 [size =\"51202048\"]\n  8 -> 10 [size =\"51202048\"]\n  9 [size=\"38294187\", alpha=\"0.16\", expect_size=\"11488256\"] \n  9 -> 11 [size =\"11488256\"]\n  9 -> 12 [size =\"11488256\"]\n  10 [size=\"120692053\", alpha=\"0.12\", expect_size=\"36207616\"] \n  10 -> 11 [size =\"36207616\"]\n  10 -> 12 [size =\"36207616\"]\n  11 [size=\"66351787\", alpha=\"0.10\", expect_size=\"19905536\"] \n  11 -> 13 [size =\"19905536\"]\n  12 [size=\"99938987\", alpha=\"0.01\", expect_size=\"29981696\"] \n  13 [size=\"156480853\", alpha=\"0.04\", expect_size=\"46944256\"] \n  13 -> 14 [size =\"46944256\"]\n  14 [size=\"115145387\", alpha=\"0.13\", expect_size=\"34543616\"] \n  14 -> 15 [size =\"34543616\"]\n  15 [size=\"101891413\", alpha=\"0.11\", expect_size=\"30567424\"] \n  15 -> 16 [size =\"30567424\"]\n  15 -> 17 [size =\"30567424\"]\n  16 [size=\"81530880\", alpha=\"0.19\", expect_size=\"24459264\"] \n  16 -> 18 [size =\"24459264\"]\n  17 [size=\"46479360\", alpha=\"0.10\", expect_size=\"13943808\"] \n  17 -> 18 [size =\"13943808\"]\n  17 -> 19 [size =\"13943808\"]\n  18 [size=\"23548587\", alpha=\"0.11\", expect_size=\"7064576\"] \n  19 [size=\"84695040\", alpha=\"0.07\", expect_size=\"25408512\"] \n  19 -> 20 [size =\"25408512\"]\n  20 [size=\"50527573\", alpha=\"0.19\", expect_size=\"15158272\"] \n  20 -> 21 [size =\"15158272\"]\n  20 -> 22 [size =\"15158272\"]\n  21 [size=\"146182827\", alpha=\"0.16\", expect_size=\"43854848\"] \n  21 -> 23 [size =\"43854848\"]\n  22 [size=\"67519147\", alpha=\"0.02\", expect_size=\"20255744\"] \n  23 [size=\"73127253\", alpha=\"0.07\", expect_size=\"21938176\"] \n  23 -> 24 [size =\"21938176\"]\n  23 -> 25 [size =\"21938176\"]\n  24 [size=\"106499413\", alpha=\"0.08\", expect_size=\"31949824\"] \n  24 -> 26 [size =\"31949824\"]\n  24 -> 27 [size =\"31949824\"]\n  25 [size=\"54633813\", alpha=\"0.15\", expect_size=\"16390144\"] \n  25 -> 26 [size =\"16390144\"]\n  25 -> 27 [size =\"16390144\"]\n  26 [size=\"140373333\", alpha=\"0.17\", expect_size=\"42112000\"] \n  26 -> 28 [size =\"42112000\"]\n  27 [size=\"136284160\", alpha=\"0.13\", expect_size=\"40885248\"] \n  27 -> 28 [size =\"40885248\"]\n  27 -> 29 [size =\"40885248\"]\n  28 [size=\"58439680\", alpha=\"0.08\", expect_size=\"17531904\"] \n  28 -> 30 [size =\"17531904\"]\n  29 [size=\"146920107\", alpha=\"0.06\", expect_size=\"44076032\"] \n  29 -> 30 [size =\"44076032\"]\n  30 [size=\"44537173\", alpha=\"0.18\", expect_size=\"13361152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17264640\", alpha=\"0.04\", expect_size=\"6905856\"] \n  1 -> 7 [size =\"6905856\"]\n  1 -> 8 [size =\"6905856\"]\n  2 [size=\"112151040\", alpha=\"0.17\", expect_size=\"44860416\"] \n  2 -> 5 [size =\"44860416\"]\n  2 -> 9 [size =\"44860416\"]\n  3 [size=\"17098240\", alpha=\"0.13\", expect_size=\"6839296\"] \n  3 -> 8 [size =\"6839296\"]\n  3 -> 9 [size =\"6839296\"]\n  4 [size=\"49740800\", alpha=\"0.14\", expect_size=\"19896320\"] \n  4 -> 6 [size =\"19896320\"]\n  5 [size=\"49164800\", alpha=\"0.11\", expect_size=\"19665920\"] \n  5 -> 10 [size =\"19665920\"]\n  5 -> 13 [size =\"19665920\"]\n  5 -> 14 [size =\"19665920\"]\n  6 [size=\"90370560\", alpha=\"0.13\", expect_size=\"36148224\"] \n  6 -> 11 [size =\"36148224\"]\n  6 -> 14 [size =\"36148224\"]\n  7 [size=\"100459520\", alpha=\"0.12\", expect_size=\"40183808\"] \n  7 -> 11 [size =\"40183808\"]\n  7 -> 12 [size =\"40183808\"]\n  7 -> 13 [size =\"40183808\"]\n  8 [size=\"121126400\", alpha=\"0.06\", expect_size=\"48450560\"] \n  8 -> 14 [size =\"48450560\"]\n  9 [size=\"25927680\", alpha=\"0.17\", expect_size=\"10371072\"] \n  9 -> 10 [size =\"10371072\"]\n  9 -> 11 [size =\"10371072\"]\n  10 [size=\"49825280\", alpha=\"0.09\", expect_size=\"19930112\"] \n  10 -> 15 [size =\"19930112\"]\n  10 -> 16 [size =\"19930112\"]\n  11 [size=\"102000640\", alpha=\"0.14\", expect_size=\"40800256\"] \n  11 -> 15 [size =\"40800256\"]\n  11 -> 16 [size =\"40800256\"]\n  12 [size=\"123261440\", alpha=\"0.18\", expect_size=\"49304576\"] \n  13 [size=\"106337280\", alpha=\"0.02\", expect_size=\"42534912\"] \n  13 -> 15 [size =\"42534912\"]\n  13 -> 17 [size =\"42534912\"]\n  13 -> 18 [size =\"42534912\"]\n  14 [size=\"62346240\", alpha=\"0.06\", expect_size=\"24938496\"] \n  14 -> 17 [size =\"24938496\"]\n  14 -> 17 [size =\"24938496\"]\n  15 [size=\"26644480\", alpha=\"0.00\", expect_size=\"10657792\"] \n  15 -> 20 [size =\"10657792\"]\n  16 [size=\"90959360\", alpha=\"0.03\", expect_size=\"36383744\"] \n  17 [size=\"52290560\", alpha=\"0.01\", expect_size=\"20916224\"] \n  17 -> 20 [size =\"20916224\"]\n  17 -> 21 [size =\"20916224\"]\n  17 -> 22 [size =\"20916224\"]\n  17 -> 23 [size =\"20916224\"]\n  18 [size=\"120778240\", alpha=\"0.02\", expect_size=\"48311296\"] \n  18 -> 19 [size =\"48311296\"]\n  19 [size=\"39774720\", alpha=\"0.01\", expect_size=\"15909888\"] \n  19 -> 24 [size =\"15909888\"]\n  19 -> 26 [size =\"15909888\"]\n  19 -> 27 [size =\"15909888\"]\n  20 [size=\"22958080\", alpha=\"0.10\", expect_size=\"9183232\"] \n  20 -> 24 [size =\"9183232\"]\n  20 -> 28 [size =\"9183232\"]\n  21 [size=\"78133760\", alpha=\"0.19\", expect_size=\"31253504\"] \n  22 [size=\"45217280\", alpha=\"0.05\", expect_size=\"18086912\"] \n  22 -> 25 [size =\"18086912\"]\n  23 [size=\"32908800\", alpha=\"0.12\", expect_size=\"13163520\"] \n  23 -> 24 [size =\"13163520\"]\n  23 -> 25 [size =\"13163520\"]\n  23 -> 28 [size =\"13163520\"]\n  24 [size=\"42790400\", alpha=\"0.05\", expect_size=\"17116160\"] \n  25 [size=\"77429760\", alpha=\"0.04\", expect_size=\"30971904\"] \n  25 -> 29 [size =\"30971904\"]\n  25 -> 30 [size =\"30971904\"]\n  26 [size=\"78517760\", alpha=\"0.16\", expect_size=\"31407104\"] \n  27 [size=\"96519680\", alpha=\"0.04\", expect_size=\"38607872\"] \n  27 -> 30 [size =\"38607872\"]\n  28 [size=\"104985600\", alpha=\"0.09\", expect_size=\"41994240\"] \n  29 [size=\"118451200\", alpha=\"0.17\", expect_size=\"47380480\"] \n  30 [size=\"123642880\", alpha=\"0.10\", expect_size=\"49457152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66985984\", alpha=\"0.05\", expect_size=\"33492992\"] \n  1 -> 5 [size =\"33492992\"]\n  1 -> 6 [size =\"33492992\"]\n  1 -> 7 [size =\"33492992\"]\n  1 -> 8 [size =\"33492992\"]\n  2 [size=\"48615424\", alpha=\"0.03\", expect_size=\"24307712\"] \n  2 -> 7 [size =\"24307712\"]\n  2 -> 8 [size =\"24307712\"]\n  3 [size=\"94885888\", alpha=\"0.07\", expect_size=\"47442944\"] \n  3 -> 5 [size =\"47442944\"]\n  4 [size=\"65212416\", alpha=\"0.11\", expect_size=\"32606208\"] \n  4 -> 7 [size =\"32606208\"]\n  5 [size=\"51701760\", alpha=\"0.13\", expect_size=\"25850880\"] \n  6 [size=\"17375232\", alpha=\"0.06\", expect_size=\"8687616\"] \n  6 -> 10 [size =\"8687616\"]\n  6 -> 12 [size =\"8687616\"]\n  6 -> 13 [size =\"8687616\"]\n  7 [size=\"66555904\", alpha=\"0.19\", expect_size=\"33277952\"] \n  7 -> 9 [size =\"33277952\"]\n  7 -> 13 [size =\"33277952\"]\n  8 [size=\"16345088\", alpha=\"0.02\", expect_size=\"8172544\"] \n  8 -> 10 [size =\"8172544\"]\n  8 -> 11 [size =\"8172544\"]\n  8 -> 12 [size =\"8172544\"]\n  9 [size=\"35375104\", alpha=\"0.16\", expect_size=\"17687552\"] \n  9 -> 14 [size =\"17687552\"]\n  9 -> 17 [size =\"17687552\"]\n  10 [size=\"77215744\", alpha=\"0.09\", expect_size=\"38607872\"] \n  10 -> 14 [size =\"38607872\"]\n  10 -> 15 [size =\"38607872\"]\n  10 -> 16 [size =\"38607872\"]\n  10 -> 17 [size =\"38607872\"]\n  11 [size=\"27144192\", alpha=\"0.17\", expect_size=\"13572096\"] \n  12 [size=\"52891648\", alpha=\"0.13\", expect_size=\"26445824\"] \n  12 -> 14 [size =\"26445824\"]\n  13 [size=\"68511744\", alpha=\"0.15\", expect_size=\"34255872\"] \n  14 [size=\"100993024\", alpha=\"0.16\", expect_size=\"50496512\"] \n  14 -> 18 [size =\"50496512\"]\n  14 -> 19 [size =\"50496512\"]\n  14 -> 20 [size =\"50496512\"]\n  14 -> 21 [size =\"50496512\"]\n  14 -> 22 [size =\"50496512\"]\n  15 [size=\"58484736\", alpha=\"0.11\", expect_size=\"29242368\"] \n  15 -> 22 [size =\"29242368\"]\n  16 [size=\"27754496\", alpha=\"0.15\", expect_size=\"13877248\"] \n  16 -> 18 [size =\"13877248\"]\n  17 [size=\"54042624\", alpha=\"0.13\", expect_size=\"27021312\"] \n  17 -> 19 [size =\"27021312\"]\n  17 -> 22 [size =\"27021312\"]\n  18 [size=\"49104896\", alpha=\"0.08\", expect_size=\"24552448\"] \n  18 -> 25 [size =\"24552448\"]\n  18 -> 26 [size =\"24552448\"]\n  18 -> 27 [size =\"24552448\"]\n  19 [size=\"60725248\", alpha=\"0.08\", expect_size=\"30362624\"] \n  19 -> 24 [size =\"30362624\"]\n  19 -> 25 [size =\"30362624\"]\n  20 [size=\"40374272\", alpha=\"0.19\", expect_size=\"20187136\"] \n  20 -> 23 [size =\"20187136\"]\n  21 [size=\"81756160\", alpha=\"0.02\", expect_size=\"40878080\"] \n  21 -> 24 [size =\"40878080\"]\n  22 [size=\"65507328\", alpha=\"0.13\", expect_size=\"32753664\"] \n  22 -> 23 [size =\"32753664\"]\n  22 -> 26 [size =\"32753664\"]\n  23 [size=\"30865408\", alpha=\"0.02\", expect_size=\"15432704\"] \n  23 -> 29 [size =\"15432704\"]\n  23 -> 30 [size =\"15432704\"]\n  24 [size=\"102471680\", alpha=\"0.02\", expect_size=\"51235840\"] \n  25 [size=\"84940800\", alpha=\"0.11\", expect_size=\"42470400\"] \n  25 -> 28 [size =\"42470400\"]\n  26 [size=\"40701952\", alpha=\"0.02\", expect_size=\"20350976\"] \n  26 -> 30 [size =\"20350976\"]\n  27 [size=\"18653184\", alpha=\"0.05\", expect_size=\"9326592\"] \n  27 -> 29 [size =\"9326592\"]\n  27 -> 30 [size =\"9326592\"]\n  28 [size=\"79677440\", alpha=\"0.08\", expect_size=\"39838720\"] \n  29 [size=\"20918272\", alpha=\"0.18\", expect_size=\"10459136\"] \n  30 [size=\"57311232\", alpha=\"0.01\", expect_size=\"28655616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81830400\", alpha=\"0.12\", expect_size=\"32732160\"] \n  1 -> 15 [size =\"32732160\"]\n  2 [size=\"35525120\", alpha=\"0.20\", expect_size=\"14210048\"] \n  2 -> 17 [size =\"14210048\"]\n  3 [size=\"124026880\", alpha=\"0.03\", expect_size=\"49610752\"] \n  3 -> 19 [size =\"49610752\"]\n  4 [size=\"68037120\", alpha=\"0.02\", expect_size=\"27214848\"] \n  4 -> 18 [size =\"27214848\"]\n  4 -> 19 [size =\"27214848\"]\n  4 -> 20 [size =\"27214848\"]\n  5 [size=\"102791680\", alpha=\"0.02\", expect_size=\"41116672\"] \n  5 -> 20 [size =\"41116672\"]\n  6 [size=\"123056640\", alpha=\"0.07\", expect_size=\"49222656\"] \n  6 -> 16 [size =\"49222656\"]\n  6 -> 20 [size =\"49222656\"]\n  7 [size=\"104880640\", alpha=\"0.20\", expect_size=\"41952256\"] \n  7 -> 18 [size =\"41952256\"]\n  7 -> 20 [size =\"41952256\"]\n  8 [size=\"99440640\", alpha=\"0.06\", expect_size=\"39776256\"] \n  8 -> 20 [size =\"39776256\"]\n  9 [size=\"52224000\", alpha=\"0.07\", expect_size=\"20889600\"] \n  9 -> 16 [size =\"20889600\"]\n  10 [size=\"112988160\", alpha=\"0.09\", expect_size=\"45195264\"] \n  10 -> 15 [size =\"45195264\"]\n  10 -> 20 [size =\"45195264\"]\n  11 [size=\"85260800\", alpha=\"0.17\", expect_size=\"34104320\"] \n  12 [size=\"37378560\", alpha=\"0.11\", expect_size=\"14951424\"] \n  12 -> 17 [size =\"14951424\"]\n  12 -> 18 [size =\"14951424\"]\n  13 [size=\"37207040\", alpha=\"0.20\", expect_size=\"14882816\"] \n  13 -> 15 [size =\"14882816\"]\n  13 -> 16 [size =\"14882816\"]\n  13 -> 19 [size =\"14882816\"]\n  14 [size=\"52195840\", alpha=\"0.10\", expect_size=\"20878336\"] \n  14 -> 16 [size =\"20878336\"]\n  14 -> 19 [size =\"20878336\"]\n  15 [size=\"64849920\", alpha=\"0.19\", expect_size=\"25939968\"] \n  15 -> 24 [size =\"25939968\"]\n  15 -> 25 [size =\"25939968\"]\n  15 -> 28 [size =\"25939968\"]\n  16 [size=\"74560000\", alpha=\"0.14\", expect_size=\"29824000\"] \n  16 -> 21 [size =\"29824000\"]\n  16 -> 22 [size =\"29824000\"]\n  16 -> 24 [size =\"29824000\"]\n  16 -> 27 [size =\"29824000\"]\n  17 [size=\"117050880\", alpha=\"0.13\", expect_size=\"46820352\"] \n  17 -> 22 [size =\"46820352\"]\n  17 -> 24 [size =\"46820352\"]\n  17 -> 26 [size =\"46820352\"]\n  17 -> 27 [size =\"46820352\"]\n  17 -> 30 [size =\"46820352\"]\n  18 [size=\"114237440\", alpha=\"0.15\", expect_size=\"45694976\"] \n  18 -> 23 [size =\"45694976\"]\n  18 -> 25 [size =\"45694976\"]\n  18 -> 28 [size =\"45694976\"]\n  18 -> 29 [size =\"45694976\"]\n  18 -> 30 [size =\"45694976\"]\n  19 [size=\"31544320\", alpha=\"0.19\", expect_size=\"12617728\"] \n  19 -> 23 [size =\"12617728\"]\n  19 -> 26 [size =\"12617728\"]\n  19 -> 29 [size =\"12617728\"]\n  19 -> 29 [size =\"12617728\"]\n  19 -> 30 [size =\"12617728\"]\n  20 [size=\"73794560\", alpha=\"0.03\", expect_size=\"29517824\"] \n  20 -> 21 [size =\"29517824\"]\n  20 -> 22 [size =\"29517824\"]\n  20 -> 25 [size =\"29517824\"]\n  20 -> 26 [size =\"29517824\"]\n  21 [size=\"128363520\", alpha=\"0.18\", expect_size=\"51345408\"] \n  22 [size=\"113254400\", alpha=\"0.17\", expect_size=\"45301760\"] \n  23 [size=\"61552640\", alpha=\"0.14\", expect_size=\"24621056\"] \n  24 [size=\"59888640\", alpha=\"0.01\", expect_size=\"23955456\"] \n  25 [size=\"117117440\", alpha=\"0.03\", expect_size=\"46846976\"] \n  26 [size=\"108825600\", alpha=\"0.04\", expect_size=\"43530240\"] \n  27 [size=\"72450560\", alpha=\"0.00\", expect_size=\"28980224\"] \n  28 [size=\"33730560\", alpha=\"0.11\", expect_size=\"13492224\"] \n  29 [size=\"119349760\", alpha=\"0.09\", expect_size=\"47739904\"] \n  30 [size=\"116267520\", alpha=\"0.03\", expect_size=\"46507008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83990528\", alpha=\"0.18\", expect_size=\"41995264\"] \n  1 -> 8 [size =\"41995264\"]\n  1 -> 11 [size =\"41995264\"]\n  1 -> 12 [size =\"41995264\"]\n  2 [size=\"37052416\", alpha=\"0.12\", expect_size=\"18526208\"] \n  2 -> 8 [size =\"18526208\"]\n  2 -> 9 [size =\"18526208\"]\n  2 -> 11 [size =\"18526208\"]\n  2 -> 12 [size =\"18526208\"]\n  2 -> 13 [size =\"18526208\"]\n  3 [size=\"99670016\", alpha=\"0.05\", expect_size=\"49835008\"] \n  3 -> 9 [size =\"49835008\"]\n  3 -> 11 [size =\"49835008\"]\n  3 -> 12 [size =\"49835008\"]\n  3 -> 14 [size =\"49835008\"]\n  4 [size=\"20393984\", alpha=\"0.04\", expect_size=\"10196992\"] \n  4 -> 8 [size =\"10196992\"]\n  4 -> 9 [size =\"10196992\"]\n  4 -> 12 [size =\"10196992\"]\n  4 -> 13 [size =\"10196992\"]\n  4 -> 16 [size =\"10196992\"]\n  5 [size=\"39778304\", alpha=\"0.16\", expect_size=\"19889152\"] \n  5 -> 8 [size =\"19889152\"]\n  5 -> 9 [size =\"19889152\"]\n  5 -> 11 [size =\"19889152\"]\n  5 -> 13 [size =\"19889152\"]\n  6 [size=\"18862080\", alpha=\"0.18\", expect_size=\"9431040\"] \n  6 -> 8 [size =\"9431040\"]\n  6 -> 9 [size =\"9431040\"]\n  6 -> 10 [size =\"9431040\"]\n  6 -> 11 [size =\"9431040\"]\n  6 -> 13 [size =\"9431040\"]\n  6 -> 16 [size =\"9431040\"]\n  7 [size=\"94437376\", alpha=\"0.04\", expect_size=\"47218688\"] \n  7 -> 8 [size =\"47218688\"]\n  7 -> 9 [size =\"47218688\"]\n  7 -> 11 [size =\"47218688\"]\n  7 -> 11 [size =\"47218688\"]\n  7 -> 13 [size =\"47218688\"]\n  7 -> 15 [size =\"47218688\"]\n  7 -> 16 [size =\"47218688\"]\n  8 [size=\"59314176\", alpha=\"0.05\", expect_size=\"29657088\"] \n  8 -> 18 [size =\"29657088\"]\n  8 -> 22 [size =\"29657088\"]\n  8 -> 24 [size =\"29657088\"]\n  9 [size=\"51916800\", alpha=\"0.02\", expect_size=\"25958400\"] \n  9 -> 18 [size =\"25958400\"]\n  9 -> 19 [size =\"25958400\"]\n  9 -> 20 [size =\"25958400\"]\n  9 -> 21 [size =\"25958400\"]\n  9 -> 22 [size =\"25958400\"]\n  9 -> 24 [size =\"25958400\"]\n  10 [size=\"64745472\", alpha=\"0.09\", expect_size=\"32372736\"] \n  10 -> 18 [size =\"32372736\"]\n  10 -> 21 [size =\"32372736\"]\n  10 -> 22 [size =\"32372736\"]\n  10 -> 23 [size =\"32372736\"]\n  10 -> 25 [size =\"32372736\"]\n  11 [size=\"38764544\", alpha=\"0.10\", expect_size=\"19382272\"] \n  11 -> 19 [size =\"19382272\"]\n  11 -> 21 [size =\"19382272\"]\n  11 -> 25 [size =\"19382272\"]\n  12 [size=\"30699520\", alpha=\"0.02\", expect_size=\"15349760\"] \n  12 -> 19 [size =\"15349760\"]\n  12 -> 21 [size =\"15349760\"]\n  12 -> 22 [size =\"15349760\"]\n  12 -> 23 [size =\"15349760\"]\n  12 -> 25 [size =\"15349760\"]\n  13 [size=\"88526848\", alpha=\"0.02\", expect_size=\"44263424\"] \n  13 -> 20 [size =\"44263424\"]\n  13 -> 21 [size =\"44263424\"]\n  13 -> 24 [size =\"44263424\"]\n  14 [size=\"19851264\", alpha=\"0.03\", expect_size=\"9925632\"] \n  14 -> 18 [size =\"9925632\"]\n  14 -> 20 [size =\"9925632\"]\n  14 -> 21 [size =\"9925632\"]\n  14 -> 24 [size =\"9925632\"]\n  15 [size=\"37275648\", alpha=\"0.06\", expect_size=\"18637824\"] \n  15 -> 17 [size =\"18637824\"]\n  15 -> 18 [size =\"18637824\"]\n  15 -> 19 [size =\"18637824\"]\n  15 -> 20 [size =\"18637824\"]\n  15 -> 21 [size =\"18637824\"]\n  15 -> 22 [size =\"18637824\"]\n  15 -> 23 [size =\"18637824\"]\n  15 -> 25 [size =\"18637824\"]\n  16 [size=\"20758528\", alpha=\"0.16\", expect_size=\"10379264\"] \n  16 -> 18 [size =\"10379264\"]\n  16 -> 18 [size =\"10379264\"]\n  16 -> 21 [size =\"10379264\"]\n  17 [size=\"10813440\", alpha=\"0.01\", expect_size=\"5406720\"] \n  17 -> 26 [size =\"5406720\"]\n  17 -> 28 [size =\"5406720\"]\n  17 -> 30 [size =\"5406720\"]\n  18 [size=\"29800448\", alpha=\"0.15\", expect_size=\"14900224\"] \n  18 -> 27 [size =\"14900224\"]\n  18 -> 28 [size =\"14900224\"]\n  18 -> 30 [size =\"14900224\"]\n  19 [size=\"51986432\", alpha=\"0.05\", expect_size=\"25993216\"] \n  19 -> 28 [size =\"25993216\"]\n  19 -> 29 [size =\"25993216\"]\n  19 -> 30 [size =\"25993216\"]\n  20 [size=\"60858368\", alpha=\"0.04\", expect_size=\"30429184\"] \n  20 -> 28 [size =\"30429184\"]\n  20 -> 29 [size =\"30429184\"]\n  20 -> 30 [size =\"30429184\"]\n  21 [size=\"10598400\", alpha=\"0.18\", expect_size=\"5299200\"] \n  21 -> 29 [size =\"5299200\"]\n  21 -> 30 [size =\"5299200\"]\n  21 -> 30 [size =\"5299200\"]\n  22 [size=\"58437632\", alpha=\"0.18\", expect_size=\"29218816\"] \n  22 -> 27 [size =\"29218816\"]\n  22 -> 28 [size =\"29218816\"]\n  22 -> 29 [size =\"29218816\"]\n  22 -> 30 [size =\"29218816\"]\n  23 [size=\"69838848\", alpha=\"0.16\", expect_size=\"34919424\"] \n  23 -> 26 [size =\"34919424\"]\n  23 -> 28 [size =\"34919424\"]\n  23 -> 29 [size =\"34919424\"]\n  24 [size=\"77082624\", alpha=\"0.17\", expect_size=\"38541312\"] \n  24 -> 29 [size =\"38541312\"]\n  25 [size=\"93415424\", alpha=\"0.04\", expect_size=\"46707712\"] \n  25 -> 27 [size =\"46707712\"]\n  25 -> 28 [size =\"46707712\"]\n  25 -> 29 [size =\"46707712\"]\n  26 [size=\"26472448\", alpha=\"0.13\", expect_size=\"13236224\"] \n  27 [size=\"102275072\", alpha=\"0.19\", expect_size=\"51137536\"] \n  28 [size=\"10762240\", alpha=\"0.16\", expect_size=\"5381120\"] \n  29 [size=\"82360320\", alpha=\"0.02\", expect_size=\"41180160\"] \n  30 [size=\"12109824\", alpha=\"0.19\", expect_size=\"6054912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37560320\", alpha=\"0.13\", expect_size=\"18780160\"] \n  1 -> 3 [size =\"18780160\"]\n  2 [size=\"101638144\", alpha=\"0.12\", expect_size=\"50819072\"] \n  3 [size=\"68214784\", alpha=\"0.16\", expect_size=\"34107392\"] \n  3 -> 4 [size =\"34107392\"]\n  3 -> 5 [size =\"34107392\"]\n  4 [size=\"54056960\", alpha=\"0.16\", expect_size=\"27028480\"] \n  5 [size=\"88178688\", alpha=\"0.15\", expect_size=\"44089344\"] \n  5 -> 6 [size =\"44089344\"]\n  6 [size=\"100687872\", alpha=\"0.20\", expect_size=\"50343936\"] \n  6 -> 7 [size =\"50343936\"]\n  7 [size=\"79667200\", alpha=\"0.05\", expect_size=\"39833600\"] \n  7 -> 8 [size =\"39833600\"]\n  7 -> 9 [size =\"39833600\"]\n  8 [size=\"39002112\", alpha=\"0.07\", expect_size=\"19501056\"] \n  9 [size=\"95336448\", alpha=\"0.09\", expect_size=\"47668224\"] \n  9 -> 10 [size =\"47668224\"]\n  10 [size=\"20140032\", alpha=\"0.12\", expect_size=\"10070016\"] \n  10 -> 11 [size =\"10070016\"]\n  10 -> 12 [size =\"10070016\"]\n  11 [size=\"19511296\", alpha=\"0.12\", expect_size=\"9755648\"] \n  12 [size=\"80746496\", alpha=\"0.04\", expect_size=\"40373248\"] \n  12 -> 13 [size =\"40373248\"]\n  13 [size=\"44173312\", alpha=\"0.07\", expect_size=\"22086656\"] \n  13 -> 14 [size =\"22086656\"]\n  13 -> 15 [size =\"22086656\"]\n  14 [size=\"26234880\", alpha=\"0.14\", expect_size=\"13117440\"] \n  15 [size=\"100378624\", alpha=\"0.04\", expect_size=\"50189312\"] \n  15 -> 16 [size =\"50189312\"]\n  16 [size=\"78045184\", alpha=\"0.12\", expect_size=\"39022592\"] \n  16 -> 17 [size =\"39022592\"]\n  17 [size=\"76550144\", alpha=\"0.09\", expect_size=\"38275072\"] \n  17 -> 18 [size =\"38275072\"]\n  17 -> 19 [size =\"38275072\"]\n  18 [size=\"101015552\", alpha=\"0.10\", expect_size=\"50507776\"] \n  18 -> 20 [size =\"50507776\"]\n  19 [size=\"38098944\", alpha=\"0.14\", expect_size=\"19049472\"] \n  20 [size=\"82743296\", alpha=\"0.06\", expect_size=\"41371648\"] \n  20 -> 21 [size =\"41371648\"]\n  21 [size=\"47165440\", alpha=\"0.04\", expect_size=\"23582720\"] \n  21 -> 22 [size =\"23582720\"]\n  21 -> 23 [size =\"23582720\"]\n  22 [size=\"102246400\", alpha=\"0.02\", expect_size=\"51123200\"] \n  23 [size=\"28770304\", alpha=\"0.12\", expect_size=\"14385152\"] \n  23 -> 24 [size =\"14385152\"]\n  24 [size=\"60293120\", alpha=\"0.10\", expect_size=\"30146560\"] \n  24 -> 25 [size =\"30146560\"]\n  25 [size=\"32227328\", alpha=\"0.06\", expect_size=\"16113664\"] \n  25 -> 26 [size =\"16113664\"]\n  26 [size=\"52559872\", alpha=\"0.00\", expect_size=\"26279936\"] \n  26 -> 27 [size =\"26279936\"]\n  27 [size=\"14505984\", alpha=\"0.09\", expect_size=\"7252992\"] \n  27 -> 28 [size =\"7252992\"]\n  28 [size=\"55855104\", alpha=\"0.05\", expect_size=\"27927552\"] \n  28 -> 29 [size =\"27927552\"]\n  28 -> 30 [size =\"27927552\"]\n  29 [size=\"101482496\", alpha=\"0.18\", expect_size=\"50741248\"] \n  30 [size=\"72865792\", alpha=\"0.13\", expect_size=\"36432896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26201600\", alpha=\"0.14\", expect_size=\"10480640\"] \n  1 -> 3 [size =\"10480640\"]\n  2 [size=\"86105600\", alpha=\"0.01\", expect_size=\"34442240\"] \n  2 -> 4 [size =\"34442240\"]\n  3 [size=\"73963520\", alpha=\"0.05\", expect_size=\"29585408\"] \n  3 -> 6 [size =\"29585408\"]\n  4 [size=\"78730240\", alpha=\"0.17\", expect_size=\"31492096\"] \n  4 -> 5 [size =\"31492096\"]\n  5 [size=\"29550080\", alpha=\"0.07\", expect_size=\"11820032\"] \n  6 [size=\"20305920\", alpha=\"0.06\", expect_size=\"8122368\"] \n  6 -> 7 [size =\"8122368\"]\n  7 [size=\"59760640\", alpha=\"0.16\", expect_size=\"23904256\"] \n  7 -> 8 [size =\"23904256\"]\n  7 -> 9 [size =\"23904256\"]\n  8 [size=\"71772160\", alpha=\"0.02\", expect_size=\"28708864\"] \n  8 -> 10 [size =\"28708864\"]\n  8 -> 11 [size =\"28708864\"]\n  9 [size=\"78935040\", alpha=\"0.03\", expect_size=\"31574016\"] \n  10 [size=\"99251200\", alpha=\"0.07\", expect_size=\"39700480\"] \n  10 -> 12 [size =\"39700480\"]\n  11 [size=\"16576000\", alpha=\"0.01\", expect_size=\"6630400\"] \n  11 -> 13 [size =\"6630400\"]\n  12 [size=\"100121600\", alpha=\"0.00\", expect_size=\"40048640\"] \n  13 [size=\"107614720\", alpha=\"0.16\", expect_size=\"43045888\"] \n  13 -> 14 [size =\"43045888\"]\n  13 -> 15 [size =\"43045888\"]\n  14 [size=\"18872320\", alpha=\"0.04\", expect_size=\"7548928\"] \n  15 [size=\"116935680\", alpha=\"0.12\", expect_size=\"46774272\"] \n  15 -> 16 [size =\"46774272\"]\n  16 [size=\"39733760\", alpha=\"0.16\", expect_size=\"15893504\"] \n  16 -> 17 [size =\"15893504\"]\n  17 [size=\"75880960\", alpha=\"0.10\", expect_size=\"30352384\"] \n  17 -> 18 [size =\"30352384\"]\n  18 [size=\"50938880\", alpha=\"0.02\", expect_size=\"20375552\"] \n  18 -> 19 [size =\"20375552\"]\n  19 [size=\"62722560\", alpha=\"0.04\", expect_size=\"25089024\"] \n  19 -> 20 [size =\"25089024\"]\n  19 -> 21 [size =\"25089024\"]\n  20 [size=\"78766080\", alpha=\"0.07\", expect_size=\"31506432\"] \n  21 [size=\"122593280\", alpha=\"0.13\", expect_size=\"49037312\"] \n  21 -> 22 [size =\"49037312\"]\n  22 [size=\"13109760\", alpha=\"0.12\", expect_size=\"5243904\"] \n  22 -> 23 [size =\"5243904\"]\n  23 [size=\"13841920\", alpha=\"0.01\", expect_size=\"5536768\"] \n  23 -> 24 [size =\"5536768\"]\n  23 -> 25 [size =\"5536768\"]\n  24 [size=\"110003200\", alpha=\"0.00\", expect_size=\"44001280\"] \n  25 [size=\"14881280\", alpha=\"0.03\", expect_size=\"5952512\"] \n  25 -> 26 [size =\"5952512\"]\n  26 [size=\"82977280\", alpha=\"0.07\", expect_size=\"33190912\"] \n  26 -> 27 [size =\"33190912\"]\n  27 [size=\"61678080\", alpha=\"0.19\", expect_size=\"24671232\"] \n  27 -> 28 [size =\"24671232\"]\n  28 [size=\"122196480\", alpha=\"0.00\", expect_size=\"48878592\"] \n  28 -> 29 [size =\"48878592\"]\n  29 [size=\"14131200\", alpha=\"0.13\", expect_size=\"5652480\"] \n  29 -> 30 [size =\"5652480\"]\n  30 [size=\"35089920\", alpha=\"0.01\", expect_size=\"14035968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91531947\", alpha=\"0.17\", expect_size=\"27459584\"] \n  1 -> 17 [size =\"27459584\"]\n  2 [size=\"168055467\", alpha=\"0.01\", expect_size=\"50416640\"] \n  2 -> 18 [size =\"50416640\"]\n  3 [size=\"104096427\", alpha=\"0.06\", expect_size=\"31228928\"] \n  3 -> 12 [size =\"31228928\"]\n  3 -> 17 [size =\"31228928\"]\n  4 [size=\"53067093\", alpha=\"0.03\", expect_size=\"15920128\"] \n  4 -> 12 [size =\"15920128\"]\n  4 -> 13 [size =\"15920128\"]\n  4 -> 18 [size =\"15920128\"]\n  5 [size=\"62423040\", alpha=\"0.10\", expect_size=\"18726912\"] \n  5 -> 12 [size =\"18726912\"]\n  5 -> 16 [size =\"18726912\"]\n  6 [size=\"63146667\", alpha=\"0.19\", expect_size=\"18944000\"] \n  6 -> 14 [size =\"18944000\"]\n  6 -> 18 [size =\"18944000\"]\n  7 [size=\"166608213\", alpha=\"0.06\", expect_size=\"49982464\"] \n  7 -> 12 [size =\"49982464\"]\n  7 -> 13 [size =\"49982464\"]\n  8 [size=\"59337387\", alpha=\"0.12\", expect_size=\"17801216\"] \n  8 -> 16 [size =\"17801216\"]\n  9 [size=\"120507733\", alpha=\"0.04\", expect_size=\"36152320\"] \n  9 -> 12 [size =\"36152320\"]\n  9 -> 16 [size =\"36152320\"]\n  10 [size=\"86920533\", alpha=\"0.13\", expect_size=\"26076160\"] \n  10 -> 12 [size =\"26076160\"]\n  10 -> 13 [size =\"26076160\"]\n  10 -> 14 [size =\"26076160\"]\n  10 -> 16 [size =\"26076160\"]\n  10 -> 17 [size =\"26076160\"]\n  10 -> 18 [size =\"26076160\"]\n  11 [size=\"32116053\", alpha=\"0.15\", expect_size=\"9634816\"] \n  11 -> 14 [size =\"9634816\"]\n  11 -> 15 [size =\"9634816\"]\n  11 -> 16 [size =\"9634816\"]\n  11 -> 18 [size =\"9634816\"]\n  12 [size=\"166266880\", alpha=\"0.07\", expect_size=\"49880064\"] \n  12 -> 22 [size =\"49880064\"]\n  13 [size=\"174615893\", alpha=\"0.19\", expect_size=\"52384768\"] \n  13 -> 19 [size =\"52384768\"]\n  13 -> 20 [size =\"52384768\"]\n  13 -> 23 [size =\"52384768\"]\n  13 -> 26 [size =\"52384768\"]\n  14 [size=\"67949227\", alpha=\"0.10\", expect_size=\"20384768\"] \n  14 -> 20 [size =\"20384768\"]\n  14 -> 21 [size =\"20384768\"]\n  14 -> 23 [size =\"20384768\"]\n  14 -> 25 [size =\"20384768\"]\n  14 -> 26 [size =\"20384768\"]\n  15 [size=\"94081707\", alpha=\"0.12\", expect_size=\"28224512\"] \n  15 -> 19 [size =\"28224512\"]\n  15 -> 20 [size =\"28224512\"]\n  15 -> 23 [size =\"28224512\"]\n  15 -> 25 [size =\"28224512\"]\n  16 [size=\"173571413\", alpha=\"0.09\", expect_size=\"52071424\"] \n  16 -> 20 [size =\"52071424\"]\n  16 -> 22 [size =\"52071424\"]\n  17 [size=\"165263360\", alpha=\"0.01\", expect_size=\"49579008\"] \n  17 -> 19 [size =\"49579008\"]\n  17 -> 22 [size =\"49579008\"]\n  17 -> 24 [size =\"49579008\"]\n  17 -> 27 [size =\"49579008\"]\n  18 [size=\"58845867\", alpha=\"0.09\", expect_size=\"17653760\"] \n  18 -> 22 [size =\"17653760\"]\n  19 [size=\"155849387\", alpha=\"0.09\", expect_size=\"46754816\"] \n  20 [size=\"31624533\", alpha=\"0.10\", expect_size=\"9487360\"] \n  20 -> 28 [size =\"9487360\"]\n  21 [size=\"135150933\", alpha=\"0.19\", expect_size=\"40545280\"] \n  21 -> 29 [size =\"40545280\"]\n  22 [size=\"94996480\", alpha=\"0.08\", expect_size=\"28498944\"] \n  22 -> 29 [size =\"28498944\"]\n  23 [size=\"150200320\", alpha=\"0.08\", expect_size=\"45060096\"] \n  23 -> 28 [size =\"45060096\"]\n  23 -> 30 [size =\"45060096\"]\n  24 [size=\"143861760\", alpha=\"0.12\", expect_size=\"43158528\"] \n  25 [size=\"64785067\", alpha=\"0.02\", expect_size=\"19435520\"] \n  26 [size=\"161030827\", alpha=\"0.18\", expect_size=\"48309248\"] \n  26 -> 28 [size =\"48309248\"]\n  26 -> 29 [size =\"48309248\"]\n  27 [size=\"77288107\", alpha=\"0.13\", expect_size=\"23186432\"] \n  28 [size=\"83227307\", alpha=\"0.13\", expect_size=\"24968192\"] \n  29 [size=\"154606933\", alpha=\"0.07\", expect_size=\"46382080\"] \n  30 [size=\"70171307\", alpha=\"0.09\", expect_size=\"21051392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160051200\", alpha=\"0.00\", expect_size=\"48015360\"] \n  1 -> 2 [size =\"48015360\"]\n  2 [size=\"158812160\", alpha=\"0.17\", expect_size=\"47643648\"] \n  2 -> 3 [size =\"47643648\"]\n  3 [size=\"172267520\", alpha=\"0.14\", expect_size=\"51680256\"] \n  3 -> 4 [size =\"51680256\"]\n  4 [size=\"54739627\", alpha=\"0.04\", expect_size=\"16421888\"] \n  4 -> 5 [size =\"16421888\"]\n  5 [size=\"68874240\", alpha=\"0.03\", expect_size=\"20662272\"] \n  5 -> 6 [size =\"20662272\"]\n  6 [size=\"153559040\", alpha=\"0.15\", expect_size=\"46067712\"] \n  6 -> 7 [size =\"46067712\"]\n  7 [size=\"69973333\", alpha=\"0.09\", expect_size=\"20992000\"] \n  7 -> 8 [size =\"20992000\"]\n  8 [size=\"73198933\", alpha=\"0.05\", expect_size=\"21959680\"] \n  8 -> 9 [size =\"21959680\"]\n  9 [size=\"124569600\", alpha=\"0.13\", expect_size=\"37370880\"] \n  9 -> 10 [size =\"37370880\"]\n  10 [size=\"77182293\", alpha=\"0.05\", expect_size=\"23154688\"] \n  10 -> 11 [size =\"23154688\"]\n  11 [size=\"29368320\", alpha=\"0.09\", expect_size=\"8810496\"] \n  11 -> 12 [size =\"8810496\"]\n  12 [size=\"32467627\", alpha=\"0.13\", expect_size=\"9740288\"] \n  12 -> 13 [size =\"9740288\"]\n  13 [size=\"164113067\", alpha=\"0.16\", expect_size=\"49233920\"] \n  13 -> 14 [size =\"49233920\"]\n  14 [size=\"114377387\", alpha=\"0.13\", expect_size=\"34313216\"] \n  14 -> 15 [size =\"34313216\"]\n  15 [size=\"145063253\", alpha=\"0.01\", expect_size=\"43518976\"] \n  15 -> 16 [size =\"43518976\"]\n  16 [size=\"170605227\", alpha=\"0.17\", expect_size=\"51181568\"] \n  16 -> 17 [size =\"51181568\"]\n  17 [size=\"130317653\", alpha=\"0.17\", expect_size=\"39095296\"] \n  17 -> 18 [size =\"39095296\"]\n  18 [size=\"46196053\", alpha=\"0.08\", expect_size=\"13858816\"] \n  18 -> 19 [size =\"13858816\"]\n  19 [size=\"89282560\", alpha=\"0.04\", expect_size=\"26784768\"] \n  19 -> 20 [size =\"26784768\"]\n  20 [size=\"33570133\", alpha=\"0.03\", expect_size=\"10071040\"] \n  20 -> 21 [size =\"10071040\"]\n  21 [size=\"69969920\", alpha=\"0.20\", expect_size=\"20990976\"] \n  21 -> 22 [size =\"20990976\"]\n  22 [size=\"142486187\", alpha=\"0.15\", expect_size=\"42745856\"] \n  22 -> 23 [size =\"42745856\"]\n  23 [size=\"88292693\", alpha=\"0.09\", expect_size=\"26487808\"] \n  23 -> 24 [size =\"26487808\"]\n  24 [size=\"55364267\", alpha=\"0.08\", expect_size=\"16609280\"] \n  24 -> 25 [size =\"16609280\"]\n  25 [size=\"154521600\", alpha=\"0.14\", expect_size=\"46356480\"] \n  25 -> 26 [size =\"46356480\"]\n  26 [size=\"162478080\", alpha=\"0.17\", expect_size=\"48743424\"] \n  26 -> 27 [size =\"48743424\"]\n  27 [size=\"142315520\", alpha=\"0.07\", expect_size=\"42694656\"] \n  27 -> 28 [size =\"42694656\"]\n  28 [size=\"121825280\", alpha=\"0.04\", expect_size=\"36547584\"] \n  28 -> 29 [size =\"36547584\"]\n  29 [size=\"26084693\", alpha=\"0.14\", expect_size=\"7825408\"] \n  29 -> 30 [size =\"7825408\"]\n  30 [size=\"60842667\", alpha=\"0.12\", expect_size=\"18252800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14671872\", alpha=\"0.03\", expect_size=\"7335936\"] \n  2 [size=\"77891584\", alpha=\"0.15\", expect_size=\"38945792\"] \n  2 -> 3 [size =\"38945792\"]\n  3 [size=\"41713664\", alpha=\"0.10\", expect_size=\"20856832\"] \n  3 -> 4 [size =\"20856832\"]\n  3 -> 5 [size =\"20856832\"]\n  4 [size=\"83341312\", alpha=\"0.03\", expect_size=\"41670656\"] \n  4 -> 6 [size =\"41670656\"]\n  5 [size=\"70293504\", alpha=\"0.15\", expect_size=\"35146752\"] \n  6 [size=\"80314368\", alpha=\"0.15\", expect_size=\"40157184\"] \n  6 -> 7 [size =\"40157184\"]\n  7 [size=\"48642048\", alpha=\"0.13\", expect_size=\"24321024\"] \n  7 -> 8 [size =\"24321024\"]\n  8 [size=\"84092928\", alpha=\"0.11\", expect_size=\"42046464\"] \n  8 -> 9 [size =\"42046464\"]\n  8 -> 10 [size =\"42046464\"]\n  9 [size=\"73254912\", alpha=\"0.01\", expect_size=\"36627456\"] \n  9 -> 11 [size =\"36627456\"]\n  9 -> 12 [size =\"36627456\"]\n  10 [size=\"56520704\", alpha=\"0.01\", expect_size=\"28260352\"] \n  10 -> 11 [size =\"28260352\"]\n  10 -> 12 [size =\"28260352\"]\n  11 [size=\"15554560\", alpha=\"0.14\", expect_size=\"7777280\"] \n  11 -> 13 [size =\"7777280\"]\n  11 -> 14 [size =\"7777280\"]\n  12 [size=\"28315648\", alpha=\"0.16\", expect_size=\"14157824\"] \n  13 [size=\"101040128\", alpha=\"0.18\", expect_size=\"50520064\"] \n  13 -> 15 [size =\"50520064\"]\n  14 [size=\"53671936\", alpha=\"0.04\", expect_size=\"26835968\"] \n  15 [size=\"67067904\", alpha=\"0.14\", expect_size=\"33533952\"] \n  15 -> 16 [size =\"33533952\"]\n  15 -> 17 [size =\"33533952\"]\n  16 [size=\"42444800\", alpha=\"0.07\", expect_size=\"21222400\"] \n  17 [size=\"20334592\", alpha=\"0.18\", expect_size=\"10167296\"] \n  17 -> 18 [size =\"10167296\"]\n  17 -> 19 [size =\"10167296\"]\n  18 [size=\"79652864\", alpha=\"0.01\", expect_size=\"39826432\"] \n  18 -> 20 [size =\"39826432\"]\n  18 -> 21 [size =\"39826432\"]\n  19 [size=\"36331520\", alpha=\"0.04\", expect_size=\"18165760\"] \n  19 -> 20 [size =\"18165760\"]\n  19 -> 21 [size =\"18165760\"]\n  20 [size=\"42061824\", alpha=\"0.17\", expect_size=\"21030912\"] \n  21 [size=\"47292416\", alpha=\"0.10\", expect_size=\"23646208\"] \n  21 -> 22 [size =\"23646208\"]\n  22 [size=\"20631552\", alpha=\"0.18\", expect_size=\"10315776\"] \n  22 -> 23 [size =\"10315776\"]\n  22 -> 24 [size =\"10315776\"]\n  23 [size=\"94464000\", alpha=\"0.12\", expect_size=\"47232000\"] \n  23 -> 26 [size =\"47232000\"]\n  24 [size=\"84615168\", alpha=\"0.02\", expect_size=\"42307584\"] \n  24 -> 25 [size =\"42307584\"]\n  24 -> 26 [size =\"42307584\"]\n  25 [size=\"104747008\", alpha=\"0.05\", expect_size=\"52373504\"] \n  25 -> 27 [size =\"52373504\"]\n  26 [size=\"74516480\", alpha=\"0.02\", expect_size=\"37258240\"] \n  26 -> 27 [size =\"37258240\"]\n  27 [size=\"11294720\", alpha=\"0.07\", expect_size=\"5647360\"] \n  27 -> 28 [size =\"5647360\"]\n  27 -> 29 [size =\"5647360\"]\n  28 [size=\"97744896\", alpha=\"0.08\", expect_size=\"48872448\"] \n  28 -> 30 [size =\"48872448\"]\n  29 [size=\"100673536\", alpha=\"0.03\", expect_size=\"50336768\"] \n  30 [size=\"26656768\", alpha=\"0.07\", expect_size=\"13328384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153951573\", alpha=\"0.15\", expect_size=\"46185472\"] \n  1 -> 2 [size =\"46185472\"]\n  1 -> 3 [size =\"46185472\"]\n  2 [size=\"36205227\", alpha=\"0.04\", expect_size=\"10861568\"] \n  2 -> 4 [size =\"10861568\"]\n  2 -> 5 [size =\"10861568\"]\n  3 [size=\"62788267\", alpha=\"0.18\", expect_size=\"18836480\"] \n  3 -> 4 [size =\"18836480\"]\n  3 -> 5 [size =\"18836480\"]\n  4 [size=\"167645867\", alpha=\"0.17\", expect_size=\"50293760\"] \n  4 -> 6 [size =\"50293760\"]\n  4 -> 7 [size =\"50293760\"]\n  5 [size=\"22521173\", alpha=\"0.11\", expect_size=\"6756352\"] \n  5 -> 6 [size =\"6756352\"]\n  5 -> 7 [size =\"6756352\"]\n  6 [size=\"139677013\", alpha=\"0.11\", expect_size=\"41903104\"] \n  6 -> 8 [size =\"41903104\"]\n  6 -> 9 [size =\"41903104\"]\n  7 [size=\"42868053\", alpha=\"0.10\", expect_size=\"12860416\"] \n  7 -> 8 [size =\"12860416\"]\n  7 -> 9 [size =\"12860416\"]\n  8 [size=\"49578667\", alpha=\"0.15\", expect_size=\"14873600\"] \n  8 -> 10 [size =\"14873600\"]\n  8 -> 11 [size =\"14873600\"]\n  9 [size=\"157300053\", alpha=\"0.15\", expect_size=\"47190016\"] \n  9 -> 10 [size =\"47190016\"]\n  9 -> 11 [size =\"47190016\"]\n  10 [size=\"37522773\", alpha=\"0.05\", expect_size=\"11256832\"] \n  10 -> 12 [size =\"11256832\"]\n  11 [size=\"108035413\", alpha=\"0.11\", expect_size=\"32410624\"] \n  12 [size=\"66976427\", alpha=\"0.18\", expect_size=\"20092928\"] \n  12 -> 13 [size =\"20092928\"]\n  12 -> 14 [size =\"20092928\"]\n  13 [size=\"102266880\", alpha=\"0.08\", expect_size=\"30680064\"] \n  13 -> 15 [size =\"30680064\"]\n  13 -> 16 [size =\"30680064\"]\n  14 [size=\"83834880\", alpha=\"0.17\", expect_size=\"25150464\"] \n  14 -> 16 [size =\"25150464\"]\n  15 [size=\"62887253\", alpha=\"0.06\", expect_size=\"18866176\"] \n  15 -> 17 [size =\"18866176\"]\n  16 [size=\"152265387\", alpha=\"0.05\", expect_size=\"45679616\"] \n  16 -> 17 [size =\"45679616\"]\n  17 [size=\"79209813\", alpha=\"0.15\", expect_size=\"23762944\"] \n  17 -> 18 [size =\"23762944\"]\n  17 -> 19 [size =\"23762944\"]\n  18 [size=\"159170560\", alpha=\"0.16\", expect_size=\"47751168\"] \n  18 -> 20 [size =\"47751168\"]\n  19 [size=\"118838613\", alpha=\"0.00\", expect_size=\"35651584\"] \n  19 -> 20 [size =\"35651584\"]\n  20 [size=\"78848000\", alpha=\"0.01\", expect_size=\"23654400\"] \n  20 -> 21 [size =\"23654400\"]\n  20 -> 22 [size =\"23654400\"]\n  21 [size=\"121040213\", alpha=\"0.19\", expect_size=\"36312064\"] \n  21 -> 23 [size =\"36312064\"]\n  22 [size=\"54125227\", alpha=\"0.19\", expect_size=\"16237568\"] \n  23 [size=\"35478187\", alpha=\"0.05\", expect_size=\"10643456\"] \n  23 -> 24 [size =\"10643456\"]\n  24 [size=\"100642133\", alpha=\"0.10\", expect_size=\"30192640\"] \n  24 -> 25 [size =\"30192640\"]\n  25 [size=\"78632960\", alpha=\"0.16\", expect_size=\"23589888\"] \n  25 -> 26 [size =\"23589888\"]\n  25 -> 27 [size =\"23589888\"]\n  26 [size=\"122839040\", alpha=\"0.18\", expect_size=\"36851712\"] \n  26 -> 28 [size =\"36851712\"]\n  26 -> 29 [size =\"36851712\"]\n  27 [size=\"162870613\", alpha=\"0.02\", expect_size=\"48861184\"] \n  27 -> 28 [size =\"48861184\"]\n  27 -> 29 [size =\"48861184\"]\n  28 [size=\"124173653\", alpha=\"0.11\", expect_size=\"37252096\"] \n  28 -> 30 [size =\"37252096\"]\n  29 [size=\"92975787\", alpha=\"0.17\", expect_size=\"27892736\"] \n  30 [size=\"96552960\", alpha=\"0.06\", expect_size=\"28965888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54351360\", alpha=\"0.09\", expect_size=\"21740544\"] \n  1 -> 12 [size =\"21740544\"]\n  1 -> 14 [size =\"21740544\"]\n  2 [size=\"119854080\", alpha=\"0.06\", expect_size=\"47941632\"] \n  2 -> 10 [size =\"47941632\"]\n  2 -> 11 [size =\"47941632\"]\n  2 -> 13 [size =\"47941632\"]\n  3 [size=\"80238080\", alpha=\"0.08\", expect_size=\"32095232\"] \n  3 -> 13 [size =\"32095232\"]\n  4 [size=\"50800640\", alpha=\"0.02\", expect_size=\"20320256\"] \n  4 -> 11 [size =\"20320256\"]\n  5 [size=\"112263680\", alpha=\"0.10\", expect_size=\"44905472\"] \n  5 -> 11 [size =\"44905472\"]\n  6 [size=\"112179200\", alpha=\"0.13\", expect_size=\"44871680\"] \n  6 -> 10 [size =\"44871680\"]\n  6 -> 14 [size =\"44871680\"]\n  7 [size=\"38062080\", alpha=\"0.08\", expect_size=\"15224832\"] \n  7 -> 8 [size =\"15224832\"]\n  7 -> 9 [size =\"15224832\"]\n  7 -> 13 [size =\"15224832\"]\n  7 -> 14 [size =\"15224832\"]\n  7 -> 15 [size =\"15224832\"]\n  8 [size=\"37524480\", alpha=\"0.19\", expect_size=\"15009792\"] \n  8 -> 17 [size =\"15009792\"]\n  8 -> 18 [size =\"15009792\"]\n  8 -> 19 [size =\"15009792\"]\n  8 -> 20 [size =\"15009792\"]\n  9 [size=\"96839680\", alpha=\"0.14\", expect_size=\"38735872\"] \n  9 -> 18 [size =\"38735872\"]\n  9 -> 20 [size =\"38735872\"]\n  10 [size=\"114337280\", alpha=\"0.16\", expect_size=\"45734912\"] \n  10 -> 20 [size =\"45734912\"]\n  10 -> 22 [size =\"45734912\"]\n  11 [size=\"20024320\", alpha=\"0.19\", expect_size=\"8009728\"] \n  11 -> 21 [size =\"8009728\"]\n  11 -> 22 [size =\"8009728\"]\n  12 [size=\"74552320\", alpha=\"0.06\", expect_size=\"29820928\"] \n  12 -> 17 [size =\"29820928\"]\n  13 [size=\"108835840\", alpha=\"0.11\", expect_size=\"43534336\"] \n  13 -> 16 [size =\"43534336\"]\n  13 -> 17 [size =\"43534336\"]\n  13 -> 18 [size =\"43534336\"]\n  13 -> 19 [size =\"43534336\"]\n  14 [size=\"35932160\", alpha=\"0.00\", expect_size=\"14372864\"] \n  14 -> 20 [size =\"14372864\"]\n  15 [size=\"48880640\", alpha=\"0.16\", expect_size=\"19552256\"] \n  15 -> 16 [size =\"19552256\"]\n  15 -> 19 [size =\"19552256\"]\n  15 -> 21 [size =\"19552256\"]\n  16 [size=\"110167040\", alpha=\"0.07\", expect_size=\"44066816\"] \n  16 -> 25 [size =\"44066816\"]\n  16 -> 26 [size =\"44066816\"]\n  17 [size=\"67973120\", alpha=\"0.15\", expect_size=\"27189248\"] \n  17 -> 24 [size =\"27189248\"]\n  17 -> 25 [size =\"27189248\"]\n  18 [size=\"115481600\", alpha=\"0.08\", expect_size=\"46192640\"] \n  18 -> 27 [size =\"46192640\"]\n  18 -> 30 [size =\"46192640\"]\n  19 [size=\"110479360\", alpha=\"0.15\", expect_size=\"44191744\"] \n  19 -> 23 [size =\"44191744\"]\n  20 [size=\"75289600\", alpha=\"0.07\", expect_size=\"30115840\"] \n  20 -> 23 [size =\"30115840\"]\n  20 -> 26 [size =\"30115840\"]\n  20 -> 28 [size =\"30115840\"]\n  20 -> 30 [size =\"30115840\"]\n  21 [size=\"52774400\", alpha=\"0.06\", expect_size=\"21109760\"] \n  21 -> 24 [size =\"21109760\"]\n  21 -> 26 [size =\"21109760\"]\n  22 [size=\"45291520\", alpha=\"0.03\", expect_size=\"18116608\"] \n  22 -> 25 [size =\"18116608\"]\n  22 -> 26 [size =\"18116608\"]\n  22 -> 29 [size =\"18116608\"]\n  23 [size=\"83402240\", alpha=\"0.11\", expect_size=\"33360896\"] \n  24 [size=\"29194240\", alpha=\"0.05\", expect_size=\"11677696\"] \n  25 [size=\"30732800\", alpha=\"0.17\", expect_size=\"12293120\"] \n  26 [size=\"127795200\", alpha=\"0.05\", expect_size=\"51118080\"] \n  27 [size=\"49832960\", alpha=\"0.17\", expect_size=\"19933184\"] \n  28 [size=\"20377600\", alpha=\"0.14\", expect_size=\"8151040\"] \n  29 [size=\"67678720\", alpha=\"0.04\", expect_size=\"27071488\"] \n  30 [size=\"40967680\", alpha=\"0.12\", expect_size=\"16387072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63242240\", alpha=\"0.11\", expect_size=\"25296896\"] \n  1 -> 2 [size =\"25296896\"]\n  2 [size=\"88058880\", alpha=\"0.15\", expect_size=\"35223552\"] \n  2 -> 3 [size =\"35223552\"]\n  3 [size=\"36884480\", alpha=\"0.15\", expect_size=\"14753792\"] \n  3 -> 4 [size =\"14753792\"]\n  4 [size=\"95162880\", alpha=\"0.16\", expect_size=\"38065152\"] \n  4 -> 5 [size =\"38065152\"]\n  5 [size=\"40560640\", alpha=\"0.05\", expect_size=\"16224256\"] \n  5 -> 6 [size =\"16224256\"]\n  6 [size=\"93765120\", alpha=\"0.09\", expect_size=\"37506048\"] \n  6 -> 7 [size =\"37506048\"]\n  7 [size=\"74030080\", alpha=\"0.02\", expect_size=\"29612032\"] \n  7 -> 8 [size =\"29612032\"]\n  8 [size=\"33280000\", alpha=\"0.14\", expect_size=\"13312000\"] \n  8 -> 9 [size =\"13312000\"]\n  9 [size=\"109483520\", alpha=\"0.18\", expect_size=\"43793408\"] \n  9 -> 10 [size =\"43793408\"]\n  10 [size=\"57776640\", alpha=\"0.06\", expect_size=\"23110656\"] \n  10 -> 11 [size =\"23110656\"]\n  11 [size=\"56665600\", alpha=\"0.01\", expect_size=\"22666240\"] \n  11 -> 12 [size =\"22666240\"]\n  12 [size=\"118702080\", alpha=\"0.13\", expect_size=\"47480832\"] \n  12 -> 13 [size =\"47480832\"]\n  13 [size=\"88294400\", alpha=\"0.08\", expect_size=\"35317760\"] \n  13 -> 14 [size =\"35317760\"]\n  14 [size=\"57121280\", alpha=\"0.13\", expect_size=\"22848512\"] \n  14 -> 15 [size =\"22848512\"]\n  15 [size=\"36147200\", alpha=\"0.01\", expect_size=\"14458880\"] \n  15 -> 16 [size =\"14458880\"]\n  16 [size=\"64888320\", alpha=\"0.00\", expect_size=\"25955328\"] \n  16 -> 17 [size =\"25955328\"]\n  17 [size=\"117463040\", alpha=\"0.17\", expect_size=\"46985216\"] \n  17 -> 18 [size =\"46985216\"]\n  18 [size=\"130129920\", alpha=\"0.19\", expect_size=\"52051968\"] \n  18 -> 19 [size =\"52051968\"]\n  19 [size=\"97402880\", alpha=\"0.18\", expect_size=\"38961152\"] \n  19 -> 20 [size =\"38961152\"]\n  20 [size=\"83955200\", alpha=\"0.14\", expect_size=\"33582080\"] \n  20 -> 21 [size =\"33582080\"]\n  21 [size=\"116794880\", alpha=\"0.19\", expect_size=\"46717952\"] \n  21 -> 22 [size =\"46717952\"]\n  22 [size=\"120965120\", alpha=\"0.16\", expect_size=\"48386048\"] \n  22 -> 23 [size =\"48386048\"]\n  23 [size=\"77593600\", alpha=\"0.17\", expect_size=\"31037440\"] \n  23 -> 24 [size =\"31037440\"]\n  24 [size=\"126261760\", alpha=\"0.12\", expect_size=\"50504704\"] \n  24 -> 25 [size =\"50504704\"]\n  25 [size=\"85145600\", alpha=\"0.12\", expect_size=\"34058240\"] \n  25 -> 26 [size =\"34058240\"]\n  26 [size=\"93770240\", alpha=\"0.05\", expect_size=\"37508096\"] \n  26 -> 27 [size =\"37508096\"]\n  27 [size=\"96289280\", alpha=\"0.09\", expect_size=\"38515712\"] \n  27 -> 28 [size =\"38515712\"]\n  28 [size=\"81241600\", alpha=\"0.16\", expect_size=\"32496640\"] \n  28 -> 29 [size =\"32496640\"]\n  29 [size=\"77726720\", alpha=\"0.20\", expect_size=\"31090688\"] \n  29 -> 30 [size =\"31090688\"]\n  30 [size=\"68825600\", alpha=\"0.11\", expect_size=\"27530240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32483840\", alpha=\"0.10\", expect_size=\"12993536\"] \n  1 -> 2 [size =\"12993536\"]\n  2 [size=\"128839680\", alpha=\"0.11\", expect_size=\"51535872\"] \n  2 -> 3 [size =\"51535872\"]\n  3 [size=\"129922560\", alpha=\"0.13\", expect_size=\"51969024\"] \n  3 -> 4 [size =\"51969024\"]\n  4 [size=\"83509760\", alpha=\"0.15\", expect_size=\"33403904\"] \n  4 -> 5 [size =\"33403904\"]\n  5 [size=\"126289920\", alpha=\"0.06\", expect_size=\"50515968\"] \n  5 -> 6 [size =\"50515968\"]\n  6 [size=\"59788800\", alpha=\"0.07\", expect_size=\"23915520\"] \n  6 -> 7 [size =\"23915520\"]\n  7 [size=\"43699200\", alpha=\"0.07\", expect_size=\"17479680\"] \n  7 -> 8 [size =\"17479680\"]\n  8 [size=\"79324160\", alpha=\"0.17\", expect_size=\"31729664\"] \n  8 -> 9 [size =\"31729664\"]\n  9 [size=\"125491200\", alpha=\"0.10\", expect_size=\"50196480\"] \n  9 -> 10 [size =\"50196480\"]\n  10 [size=\"123704320\", alpha=\"0.12\", expect_size=\"49481728\"] \n  10 -> 11 [size =\"49481728\"]\n  11 [size=\"20193280\", alpha=\"0.05\", expect_size=\"8077312\"] \n  11 -> 12 [size =\"8077312\"]\n  12 [size=\"77368320\", alpha=\"0.18\", expect_size=\"30947328\"] \n  12 -> 13 [size =\"30947328\"]\n  13 [size=\"26639360\", alpha=\"0.09\", expect_size=\"10655744\"] \n  13 -> 14 [size =\"10655744\"]\n  14 [size=\"103856640\", alpha=\"0.12\", expect_size=\"41542656\"] \n  14 -> 15 [size =\"41542656\"]\n  15 [size=\"75696640\", alpha=\"0.16\", expect_size=\"30278656\"] \n  15 -> 16 [size =\"30278656\"]\n  16 [size=\"109665280\", alpha=\"0.18\", expect_size=\"43866112\"] \n  16 -> 17 [size =\"43866112\"]\n  17 [size=\"33607680\", alpha=\"0.07\", expect_size=\"13443072\"] \n  17 -> 18 [size =\"13443072\"]\n  18 [size=\"74091520\", alpha=\"0.02\", expect_size=\"29636608\"] \n  18 -> 19 [size =\"29636608\"]\n  19 [size=\"58434560\", alpha=\"0.14\", expect_size=\"23373824\"] \n  19 -> 20 [size =\"23373824\"]\n  20 [size=\"116628480\", alpha=\"0.01\", expect_size=\"46651392\"] \n  20 -> 21 [size =\"46651392\"]\n  21 [size=\"66583040\", alpha=\"0.10\", expect_size=\"26633216\"] \n  21 -> 22 [size =\"26633216\"]\n  22 [size=\"94973440\", alpha=\"0.00\", expect_size=\"37989376\"] \n  22 -> 23 [size =\"37989376\"]\n  23 [size=\"81658880\", alpha=\"0.09\", expect_size=\"32663552\"] \n  23 -> 24 [size =\"32663552\"]\n  24 [size=\"15672320\", alpha=\"0.11\", expect_size=\"6268928\"] \n  24 -> 25 [size =\"6268928\"]\n  25 [size=\"89292800\", alpha=\"0.11\", expect_size=\"35717120\"] \n  25 -> 26 [size =\"35717120\"]\n  26 [size=\"65159680\", alpha=\"0.20\", expect_size=\"26063872\"] \n  26 -> 27 [size =\"26063872\"]\n  27 [size=\"55198720\", alpha=\"0.13\", expect_size=\"22079488\"] \n  27 -> 28 [size =\"22079488\"]\n  28 [size=\"93957120\", alpha=\"0.18\", expect_size=\"37582848\"] \n  28 -> 29 [size =\"37582848\"]\n  29 [size=\"105873920\", alpha=\"0.02\", expect_size=\"42349568\"] \n  29 -> 30 [size =\"42349568\"]\n  30 [size=\"69841920\", alpha=\"0.04\", expect_size=\"27936768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68945920\", alpha=\"0.03\", expect_size=\"20683776\"] \n  1 -> 6 [size =\"20683776\"]\n  2 [size=\"97570133\", alpha=\"0.05\", expect_size=\"29271040\"] \n  2 -> 6 [size =\"29271040\"]\n  2 -> 8 [size =\"29271040\"]\n  3 [size=\"159351467\", alpha=\"0.16\", expect_size=\"47805440\"] \n  3 -> 6 [size =\"47805440\"]\n  3 -> 8 [size =\"47805440\"]\n  4 [size=\"162252800\", alpha=\"0.03\", expect_size=\"48675840\"] \n  4 -> 5 [size =\"48675840\"]\n  4 -> 7 [size =\"48675840\"]\n  4 -> 8 [size =\"48675840\"]\n  5 [size=\"110568107\", alpha=\"0.17\", expect_size=\"33170432\"] \n  5 -> 9 [size =\"33170432\"]\n  5 -> 11 [size =\"33170432\"]\n  5 -> 13 [size =\"33170432\"]\n  6 [size=\"155415893\", alpha=\"0.11\", expect_size=\"46624768\"] \n  6 -> 10 [size =\"46624768\"]\n  6 -> 12 [size =\"46624768\"]\n  7 [size=\"147380907\", alpha=\"0.19\", expect_size=\"44214272\"] \n  7 -> 10 [size =\"44214272\"]\n  7 -> 13 [size =\"44214272\"]\n  8 [size=\"77376853\", alpha=\"0.19\", expect_size=\"23213056\"] \n  8 -> 11 [size =\"23213056\"]\n  9 [size=\"79817387\", alpha=\"0.04\", expect_size=\"23945216\"] \n  9 -> 15 [size =\"23945216\"]\n  10 [size=\"130539520\", alpha=\"0.11\", expect_size=\"39161856\"] \n  10 -> 15 [size =\"39161856\"]\n  11 [size=\"93699413\", alpha=\"0.01\", expect_size=\"28109824\"] \n  11 -> 14 [size =\"28109824\"]\n  11 -> 17 [size =\"28109824\"]\n  12 [size=\"116592640\", alpha=\"0.02\", expect_size=\"34977792\"] \n  12 -> 17 [size =\"34977792\"]\n  13 [size=\"153470293\", alpha=\"0.08\", expect_size=\"46041088\"] \n  13 -> 15 [size =\"46041088\"]\n  13 -> 16 [size =\"46041088\"]\n  13 -> 17 [size =\"46041088\"]\n  14 [size=\"121084587\", alpha=\"0.09\", expect_size=\"36325376\"] \n  14 -> 19 [size =\"36325376\"]\n  14 -> 20 [size =\"36325376\"]\n  14 -> 21 [size =\"36325376\"]\n  15 [size=\"142336000\", alpha=\"0.01\", expect_size=\"42700800\"] \n  15 -> 18 [size =\"42700800\"]\n  15 -> 20 [size =\"42700800\"]\n  15 -> 21 [size =\"42700800\"]\n  16 [size=\"116275200\", alpha=\"0.05\", expect_size=\"34882560\"] \n  16 -> 18 [size =\"34882560\"]\n  16 -> 19 [size =\"34882560\"]\n  17 [size=\"44093440\", alpha=\"0.15\", expect_size=\"13228032\"] \n  17 -> 18 [size =\"13228032\"]\n  17 -> 19 [size =\"13228032\"]\n  17 -> 21 [size =\"13228032\"]\n  18 [size=\"36027733\", alpha=\"0.18\", expect_size=\"10808320\"] \n  18 -> 22 [size =\"10808320\"]\n  18 -> 23 [size =\"10808320\"]\n  18 -> 24 [size =\"10808320\"]\n  19 [size=\"30122667\", alpha=\"0.10\", expect_size=\"9036800\"] \n  19 -> 22 [size =\"9036800\"]\n  19 -> 23 [size =\"9036800\"]\n  19 -> 24 [size =\"9036800\"]\n  19 -> 25 [size =\"9036800\"]\n  20 [size=\"64976213\", alpha=\"0.11\", expect_size=\"19492864\"] \n  20 -> 25 [size =\"19492864\"]\n  21 [size=\"154480640\", alpha=\"0.18\", expect_size=\"46344192\"] \n  21 -> 22 [size =\"46344192\"]\n  21 -> 24 [size =\"46344192\"]\n  22 [size=\"159720107\", alpha=\"0.16\", expect_size=\"47916032\"] \n  22 -> 26 [size =\"47916032\"]\n  22 -> 27 [size =\"47916032\"]\n  23 [size=\"21463040\", alpha=\"0.11\", expect_size=\"6438912\"] \n  23 -> 27 [size =\"6438912\"]\n  23 -> 29 [size =\"6438912\"]\n  24 [size=\"84671147\", alpha=\"0.05\", expect_size=\"25401344\"] \n  24 -> 27 [size =\"25401344\"]\n  24 -> 28 [size =\"25401344\"]\n  25 [size=\"157044053\", alpha=\"0.11\", expect_size=\"47113216\"] \n  25 -> 29 [size =\"47113216\"]\n  26 [size=\"161437013\", alpha=\"0.14\", expect_size=\"48431104\"] \n  27 [size=\"44649813\", alpha=\"0.14\", expect_size=\"13394944\"] \n  27 -> 30 [size =\"13394944\"]\n  28 [size=\"165321387\", alpha=\"0.01\", expect_size=\"49596416\"] \n  28 -> 30 [size =\"49596416\"]\n  29 [size=\"146913280\", alpha=\"0.16\", expect_size=\"44073984\"] \n  29 -> 30 [size =\"44073984\"]\n  30 [size=\"72140800\", alpha=\"0.06\", expect_size=\"21642240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74516480\", alpha=\"0.13\", expect_size=\"22354944\"] \n  1 -> 6 [size =\"22354944\"]\n  1 -> 8 [size =\"22354944\"]\n  1 -> 9 [size =\"22354944\"]\n  2 [size=\"44687360\", alpha=\"0.18\", expect_size=\"13406208\"] \n  2 -> 6 [size =\"13406208\"]\n  3 [size=\"150954667\", alpha=\"0.14\", expect_size=\"45286400\"] \n  3 -> 7 [size =\"45286400\"]\n  3 -> 8 [size =\"45286400\"]\n  4 [size=\"122938027\", alpha=\"0.19\", expect_size=\"36881408\"] \n  5 [size=\"92207787\", alpha=\"0.14\", expect_size=\"27662336\"] \n  6 [size=\"137028267\", alpha=\"0.04\", expect_size=\"41108480\"] \n  6 -> 10 [size =\"41108480\"]\n  6 -> 12 [size =\"41108480\"]\n  6 -> 13 [size =\"41108480\"]\n  7 [size=\"99966293\", alpha=\"0.19\", expect_size=\"29989888\"] \n  7 -> 10 [size =\"29989888\"]\n  7 -> 11 [size =\"29989888\"]\n  7 -> 13 [size =\"29989888\"]\n  8 [size=\"43277653\", alpha=\"0.08\", expect_size=\"12983296\"] \n  8 -> 10 [size =\"12983296\"]\n  9 [size=\"159201280\", alpha=\"0.10\", expect_size=\"47760384\"] \n  9 -> 12 [size =\"47760384\"]\n  9 -> 13 [size =\"47760384\"]\n  10 [size=\"144588800\", alpha=\"0.07\", expect_size=\"43376640\"] \n  10 -> 15 [size =\"43376640\"]\n  10 -> 17 [size =\"43376640\"]\n  11 [size=\"156968960\", alpha=\"0.06\", expect_size=\"47090688\"] \n  11 -> 18 [size =\"47090688\"]\n  12 [size=\"101034667\", alpha=\"0.13\", expect_size=\"30310400\"] \n  12 -> 14 [size =\"30310400\"]\n  12 -> 16 [size =\"30310400\"]\n  12 -> 17 [size =\"30310400\"]\n  12 -> 18 [size =\"30310400\"]\n  13 [size=\"85783893\", alpha=\"0.01\", expect_size=\"25735168\"] \n  13 -> 14 [size =\"25735168\"]\n  14 [size=\"40963413\", alpha=\"0.20\", expect_size=\"12289024\"] \n  15 [size=\"35007147\", alpha=\"0.05\", expect_size=\"10502144\"] \n  15 -> 19 [size =\"10502144\"]\n  15 -> 20 [size =\"10502144\"]\n  15 -> 21 [size =\"10502144\"]\n  15 -> 22 [size =\"10502144\"]\n  16 [size=\"144571733\", alpha=\"0.17\", expect_size=\"43371520\"] \n  16 -> 19 [size =\"43371520\"]\n  16 -> 20 [size =\"43371520\"]\n  16 -> 21 [size =\"43371520\"]\n  16 -> 22 [size =\"43371520\"]\n  17 [size=\"20688213\", alpha=\"0.03\", expect_size=\"6206464\"] \n  17 -> 19 [size =\"6206464\"]\n  17 -> 20 [size =\"6206464\"]\n  18 [size=\"166662827\", alpha=\"0.03\", expect_size=\"49998848\"] \n  18 -> 21 [size =\"49998848\"]\n  19 [size=\"69044907\", alpha=\"0.11\", expect_size=\"20713472\"] \n  19 -> 23 [size =\"20713472\"]\n  19 -> 24 [size =\"20713472\"]\n  19 -> 26 [size =\"20713472\"]\n  20 [size=\"150101333\", alpha=\"0.02\", expect_size=\"45030400\"] \n  20 -> 23 [size =\"45030400\"]\n  20 -> 26 [size =\"45030400\"]\n  20 -> 27 [size =\"45030400\"]\n  21 [size=\"48411307\", alpha=\"0.01\", expect_size=\"14523392\"] \n  21 -> 23 [size =\"14523392\"]\n  21 -> 24 [size =\"14523392\"]\n  21 -> 25 [size =\"14523392\"]\n  21 -> 27 [size =\"14523392\"]\n  22 [size=\"95283200\", alpha=\"0.03\", expect_size=\"28584960\"] \n  22 -> 26 [size =\"28584960\"]\n  23 [size=\"38406827\", alpha=\"0.02\", expect_size=\"11522048\"] \n  23 -> 28 [size =\"11522048\"]\n  23 -> 29 [size =\"11522048\"]\n  24 [size=\"43465387\", alpha=\"0.15\", expect_size=\"13039616\"] \n  24 -> 29 [size =\"13039616\"]\n  25 [size=\"42093227\", alpha=\"0.17\", expect_size=\"12627968\"] \n  25 -> 30 [size =\"12627968\"]\n  26 [size=\"79803733\", alpha=\"0.14\", expect_size=\"23941120\"] \n  26 -> 28 [size =\"23941120\"]\n  27 [size=\"59859627\", alpha=\"0.02\", expect_size=\"17957888\"] \n  27 -> 29 [size =\"17957888\"]\n  28 [size=\"81199787\", alpha=\"0.13\", expect_size=\"24359936\"] \n  29 [size=\"107110400\", alpha=\"0.02\", expect_size=\"32133120\"] \n  30 [size=\"34737493\", alpha=\"0.07\", expect_size=\"10421248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38930432\", alpha=\"0.16\", expect_size=\"19465216\"] \n  1 -> 2 [size =\"19465216\"]\n  1 -> 3 [size =\"19465216\"]\n  2 [size=\"26408960\", alpha=\"0.14\", expect_size=\"13204480\"] \n  2 -> 5 [size =\"13204480\"]\n  3 [size=\"103591936\", alpha=\"0.07\", expect_size=\"51795968\"] \n  3 -> 4 [size =\"51795968\"]\n  4 [size=\"91006976\", alpha=\"0.12\", expect_size=\"45503488\"] \n  4 -> 7 [size =\"45503488\"]\n  5 [size=\"39526400\", alpha=\"0.07\", expect_size=\"19763200\"] \n  5 -> 6 [size =\"19763200\"]\n  6 [size=\"91260928\", alpha=\"0.13\", expect_size=\"45630464\"] \n  6 -> 9 [size =\"45630464\"]\n  7 [size=\"25376768\", alpha=\"0.14\", expect_size=\"12688384\"] \n  7 -> 8 [size =\"12688384\"]\n  8 [size=\"102303744\", alpha=\"0.17\", expect_size=\"51151872\"] \n  8 -> 10 [size =\"51151872\"]\n  9 [size=\"74694656\", alpha=\"0.15\", expect_size=\"37347328\"] \n  9 -> 10 [size =\"37347328\"]\n  10 [size=\"40400896\", alpha=\"0.15\", expect_size=\"20200448\"] \n  10 -> 11 [size =\"20200448\"]\n  11 [size=\"26394624\", alpha=\"0.03\", expect_size=\"13197312\"] \n  11 -> 12 [size =\"13197312\"]\n  12 [size=\"102731776\", alpha=\"0.10\", expect_size=\"51365888\"] \n  12 -> 13 [size =\"51365888\"]\n  13 [size=\"72196096\", alpha=\"0.14\", expect_size=\"36098048\"] \n  13 -> 14 [size =\"36098048\"]\n  13 -> 15 [size =\"36098048\"]\n  14 [size=\"102883328\", alpha=\"0.17\", expect_size=\"51441664\"] \n  14 -> 17 [size =\"51441664\"]\n  15 [size=\"66924544\", alpha=\"0.14\", expect_size=\"33462272\"] \n  15 -> 16 [size =\"33462272\"]\n  16 [size=\"101081088\", alpha=\"0.02\", expect_size=\"50540544\"] \n  16 -> 18 [size =\"50540544\"]\n  17 [size=\"67465216\", alpha=\"0.19\", expect_size=\"33732608\"] \n  17 -> 18 [size =\"33732608\"]\n  18 [size=\"39325696\", alpha=\"0.10\", expect_size=\"19662848\"] \n  18 -> 19 [size =\"19662848\"]\n  18 -> 20 [size =\"19662848\"]\n  19 [size=\"26957824\", alpha=\"0.11\", expect_size=\"13478912\"] \n  19 -> 21 [size =\"13478912\"]\n  20 [size=\"97689600\", alpha=\"0.01\", expect_size=\"48844800\"] \n  20 -> 21 [size =\"48844800\"]\n  21 [size=\"73277440\", alpha=\"0.18\", expect_size=\"36638720\"] \n  21 -> 22 [size =\"36638720\"]\n  21 -> 23 [size =\"36638720\"]\n  22 [size=\"86439936\", alpha=\"0.19\", expect_size=\"43219968\"] \n  22 -> 25 [size =\"43219968\"]\n  23 [size=\"41230336\", alpha=\"0.18\", expect_size=\"20615168\"] \n  23 -> 24 [size =\"20615168\"]\n  24 [size=\"13832192\", alpha=\"0.15\", expect_size=\"6916096\"] \n  24 -> 26 [size =\"6916096\"]\n  24 -> 27 [size =\"6916096\"]\n  25 [size=\"96329728\", alpha=\"0.19\", expect_size=\"48164864\"] \n  25 -> 26 [size =\"48164864\"]\n  26 [size=\"69163008\", alpha=\"0.19\", expect_size=\"34581504\"] \n  26 -> 28 [size =\"34581504\"]\n  26 -> 29 [size =\"34581504\"]\n  27 [size=\"80056320\", alpha=\"0.02\", expect_size=\"40028160\"] \n  27 -> 28 [size =\"40028160\"]\n  28 [size=\"77510656\", alpha=\"0.05\", expect_size=\"38755328\"] \n  28 -> 30 [size =\"38755328\"]\n  29 [size=\"32610304\", alpha=\"0.02\", expect_size=\"16305152\"] \n  30 [size=\"82591744\", alpha=\"0.05\", expect_size=\"41295872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163420160\", alpha=\"0.10\", expect_size=\"49026048\"] \n  1 -> 12 [size =\"49026048\"]\n  1 -> 14 [size =\"49026048\"]\n  2 [size=\"23415467\", alpha=\"0.20\", expect_size=\"7024640\"] \n  2 -> 12 [size =\"7024640\"]\n  2 -> 17 [size =\"7024640\"]\n  3 [size=\"49715200\", alpha=\"0.10\", expect_size=\"14914560\"] \n  3 -> 11 [size =\"14914560\"]\n  3 -> 12 [size =\"14914560\"]\n  3 -> 16 [size =\"14914560\"]\n  4 [size=\"103792640\", alpha=\"0.11\", expect_size=\"31137792\"] \n  4 -> 10 [size =\"31137792\"]\n  4 -> 11 [size =\"31137792\"]\n  5 [size=\"157269333\", alpha=\"0.15\", expect_size=\"47180800\"] \n  5 -> 10 [size =\"47180800\"]\n  5 -> 11 [size =\"47180800\"]\n  5 -> 12 [size =\"47180800\"]\n  5 -> 15 [size =\"47180800\"]\n  6 [size=\"113882453\", alpha=\"0.08\", expect_size=\"34164736\"] \n  6 -> 11 [size =\"34164736\"]\n  6 -> 15 [size =\"34164736\"]\n  6 -> 17 [size =\"34164736\"]\n  6 -> 18 [size =\"34164736\"]\n  7 [size=\"105577813\", alpha=\"0.12\", expect_size=\"31673344\"] \n  7 -> 13 [size =\"31673344\"]\n  7 -> 17 [size =\"31673344\"]\n  8 [size=\"163519147\", alpha=\"0.04\", expect_size=\"49055744\"] \n  9 [size=\"99054933\", alpha=\"0.07\", expect_size=\"29716480\"] \n  9 -> 10 [size =\"29716480\"]\n  9 -> 13 [size =\"29716480\"]\n  9 -> 14 [size =\"29716480\"]\n  9 -> 15 [size =\"29716480\"]\n  9 -> 17 [size =\"29716480\"]\n  10 [size=\"125422933\", alpha=\"0.03\", expect_size=\"37626880\"] \n  10 -> 19 [size =\"37626880\"]\n  10 -> 24 [size =\"37626880\"]\n  10 -> 25 [size =\"37626880\"]\n  10 -> 27 [size =\"37626880\"]\n  10 -> 28 [size =\"37626880\"]\n  11 [size=\"75738453\", alpha=\"0.18\", expect_size=\"22721536\"] \n  11 -> 19 [size =\"22721536\"]\n  11 -> 20 [size =\"22721536\"]\n  11 -> 25 [size =\"22721536\"]\n  11 -> 26 [size =\"22721536\"]\n  12 [size=\"157323947\", alpha=\"0.11\", expect_size=\"47197184\"] \n  12 -> 19 [size =\"47197184\"]\n  12 -> 20 [size =\"47197184\"]\n  12 -> 26 [size =\"47197184\"]\n  13 [size=\"153896960\", alpha=\"0.11\", expect_size=\"46169088\"] \n  13 -> 19 [size =\"46169088\"]\n  13 -> 22 [size =\"46169088\"]\n  13 -> 26 [size =\"46169088\"]\n  13 -> 28 [size =\"46169088\"]\n  14 [size=\"75649707\", alpha=\"0.08\", expect_size=\"22694912\"] \n  14 -> 23 [size =\"22694912\"]\n  14 -> 26 [size =\"22694912\"]\n  14 -> 28 [size =\"22694912\"]\n  15 [size=\"161638400\", alpha=\"0.18\", expect_size=\"48491520\"] \n  15 -> 20 [size =\"48491520\"]\n  15 -> 21 [size =\"48491520\"]\n  15 -> 24 [size =\"48491520\"]\n  15 -> 25 [size =\"48491520\"]\n  15 -> 28 [size =\"48491520\"]\n  16 [size=\"118695253\", alpha=\"0.18\", expect_size=\"35608576\"] \n  16 -> 22 [size =\"35608576\"]\n  16 -> 24 [size =\"35608576\"]\n  16 -> 25 [size =\"35608576\"]\n  16 -> 25 [size =\"35608576\"]\n  16 -> 27 [size =\"35608576\"]\n  17 [size=\"24951467\", alpha=\"0.00\", expect_size=\"7485440\"] \n  17 -> 20 [size =\"7485440\"]\n  17 -> 21 [size =\"7485440\"]\n  17 -> 22 [size =\"7485440\"]\n  17 -> 25 [size =\"7485440\"]\n  17 -> 26 [size =\"7485440\"]\n  17 -> 27 [size =\"7485440\"]\n  18 [size=\"122374827\", alpha=\"0.12\", expect_size=\"36712448\"] \n  18 -> 22 [size =\"36712448\"]\n  18 -> 25 [size =\"36712448\"]\n  18 -> 27 [size =\"36712448\"]\n  19 [size=\"153279147\", alpha=\"0.08\", expect_size=\"45983744\"] \n  19 -> 30 [size =\"45983744\"]\n  20 [size=\"47435093\", alpha=\"0.13\", expect_size=\"14230528\"] \n  20 -> 30 [size =\"14230528\"]\n  21 [size=\"74188800\", alpha=\"0.17\", expect_size=\"22256640\"] \n  21 -> 29 [size =\"22256640\"]\n  22 [size=\"56466773\", alpha=\"0.01\", expect_size=\"16940032\"] \n  23 [size=\"142776320\", alpha=\"0.10\", expect_size=\"42832896\"] \n  23 -> 30 [size =\"42832896\"]\n  24 [size=\"68949333\", alpha=\"0.09\", expect_size=\"20684800\"] \n  25 [size=\"129273173\", alpha=\"0.07\", expect_size=\"38781952\"] \n  25 -> 29 [size =\"38781952\"]\n  25 -> 30 [size =\"38781952\"]\n  26 [size=\"112121173\", alpha=\"0.16\", expect_size=\"33636352\"] \n  27 [size=\"99280213\", alpha=\"0.17\", expect_size=\"29784064\"] \n  27 -> 29 [size =\"29784064\"]\n  28 [size=\"103010987\", alpha=\"0.17\", expect_size=\"30903296\"] \n  28 -> 29 [size =\"30903296\"]\n  29 [size=\"41697280\", alpha=\"0.06\", expect_size=\"12509184\"] \n  30 [size=\"100922027\", alpha=\"0.10\", expect_size=\"30276608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88963072\", alpha=\"0.11\", expect_size=\"44481536\"] \n  1 -> 11 [size =\"44481536\"]\n  1 -> 12 [size =\"44481536\"]\n  1 -> 14 [size =\"44481536\"]\n  1 -> 17 [size =\"44481536\"]\n  2 [size=\"61315072\", alpha=\"0.14\", expect_size=\"30657536\"] \n  2 -> 11 [size =\"30657536\"]\n  3 [size=\"63250432\", alpha=\"0.12\", expect_size=\"31625216\"] \n  3 -> 11 [size =\"31625216\"]\n  3 -> 18 [size =\"31625216\"]\n  3 -> 19 [size =\"31625216\"]\n  4 [size=\"40419328\", alpha=\"0.01\", expect_size=\"20209664\"] \n  4 -> 12 [size =\"20209664\"]\n  4 -> 13 [size =\"20209664\"]\n  4 -> 18 [size =\"20209664\"]\n  5 [size=\"70305792\", alpha=\"0.08\", expect_size=\"35152896\"] \n  5 -> 12 [size =\"35152896\"]\n  6 [size=\"66734080\", alpha=\"0.11\", expect_size=\"33367040\"] \n  6 -> 13 [size =\"33367040\"]\n  6 -> 15 [size =\"33367040\"]\n  7 [size=\"89032704\", alpha=\"0.15\", expect_size=\"44516352\"] \n  7 -> 19 [size =\"44516352\"]\n  8 [size=\"29286400\", alpha=\"0.20\", expect_size=\"14643200\"] \n  8 -> 18 [size =\"14643200\"]\n  9 [size=\"86902784\", alpha=\"0.18\", expect_size=\"43451392\"] \n  9 -> 11 [size =\"43451392\"]\n  9 -> 16 [size =\"43451392\"]\n  10 [size=\"86663168\", alpha=\"0.19\", expect_size=\"43331584\"] \n  10 -> 20 [size =\"43331584\"]\n  11 [size=\"19187712\", alpha=\"0.10\", expect_size=\"9593856\"] \n  11 -> 21 [size =\"9593856\"]\n  11 -> 23 [size =\"9593856\"]\n  11 -> 24 [size =\"9593856\"]\n  11 -> 25 [size =\"9593856\"]\n  11 -> 26 [size =\"9593856\"]\n  11 -> 27 [size =\"9593856\"]\n  12 [size=\"72691712\", alpha=\"0.04\", expect_size=\"36345856\"] \n  12 -> 23 [size =\"36345856\"]\n  12 -> 27 [size =\"36345856\"]\n  13 [size=\"45606912\", alpha=\"0.02\", expect_size=\"22803456\"] \n  13 -> 27 [size =\"22803456\"]\n  13 -> 29 [size =\"22803456\"]\n  14 [size=\"103493632\", alpha=\"0.02\", expect_size=\"51746816\"] \n  14 -> 21 [size =\"51746816\"]\n  14 -> 26 [size =\"51746816\"]\n  15 [size=\"15949824\", alpha=\"0.05\", expect_size=\"7974912\"] \n  15 -> 29 [size =\"7974912\"]\n  16 [size=\"51482624\", alpha=\"0.15\", expect_size=\"25741312\"] \n  16 -> 24 [size =\"25741312\"]\n  16 -> 25 [size =\"25741312\"]\n  17 [size=\"102221824\", alpha=\"0.01\", expect_size=\"51110912\"] \n  17 -> 22 [size =\"51110912\"]\n  17 -> 23 [size =\"51110912\"]\n  17 -> 27 [size =\"51110912\"]\n  17 -> 29 [size =\"51110912\"]\n  18 [size=\"79706112\", alpha=\"0.17\", expect_size=\"39853056\"] \n  18 -> 23 [size =\"39853056\"]\n  18 -> 24 [size =\"39853056\"]\n  18 -> 26 [size =\"39853056\"]\n  18 -> 27 [size =\"39853056\"]\n  18 -> 28 [size =\"39853056\"]\n  18 -> 29 [size =\"39853056\"]\n  19 [size=\"78069760\", alpha=\"0.09\", expect_size=\"39034880\"] \n  19 -> 22 [size =\"39034880\"]\n  19 -> 25 [size =\"39034880\"]\n  20 [size=\"69816320\", alpha=\"0.18\", expect_size=\"34908160\"] \n  20 -> 25 [size =\"34908160\"]\n  20 -> 26 [size =\"34908160\"]\n  20 -> 28 [size =\"34908160\"]\n  21 [size=\"66064384\", alpha=\"0.03\", expect_size=\"33032192\"] \n  21 -> 30 [size =\"33032192\"]\n  22 [size=\"17149952\", alpha=\"0.19\", expect_size=\"8574976\"] \n  23 [size=\"35164160\", alpha=\"0.06\", expect_size=\"17582080\"] \n  24 [size=\"45903872\", alpha=\"0.20\", expect_size=\"22951936\"] \n  25 [size=\"57509888\", alpha=\"0.06\", expect_size=\"28754944\"] \n  26 [size=\"81313792\", alpha=\"0.04\", expect_size=\"40656896\"] \n  27 [size=\"56385536\", alpha=\"0.19\", expect_size=\"28192768\"] \n  28 [size=\"59035648\", alpha=\"0.18\", expect_size=\"29517824\"] \n  29 [size=\"43870208\", alpha=\"0.13\", expect_size=\"21935104\"] \n  30 [size=\"86046720\", alpha=\"0.04\", expect_size=\"43023360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27080704\", alpha=\"0.19\", expect_size=\"13540352\"] \n  1 -> 2 [size =\"13540352\"]\n  1 -> 3 [size =\"13540352\"]\n  2 [size=\"90863616\", alpha=\"0.18\", expect_size=\"45431808\"] \n  2 -> 4 [size =\"45431808\"]\n  2 -> 5 [size =\"45431808\"]\n  3 [size=\"11491328\", alpha=\"0.14\", expect_size=\"5745664\"] \n  3 -> 4 [size =\"5745664\"]\n  4 [size=\"95356928\", alpha=\"0.02\", expect_size=\"47678464\"] \n  4 -> 6 [size =\"47678464\"]\n  5 [size=\"78532608\", alpha=\"0.08\", expect_size=\"39266304\"] \n  5 -> 6 [size =\"39266304\"]\n  6 [size=\"12181504\", alpha=\"0.03\", expect_size=\"6090752\"] \n  6 -> 7 [size =\"6090752\"]\n  7 [size=\"71546880\", alpha=\"0.16\", expect_size=\"35773440\"] \n  7 -> 8 [size =\"35773440\"]\n  8 [size=\"92825600\", alpha=\"0.13\", expect_size=\"46412800\"] \n  8 -> 9 [size =\"46412800\"]\n  8 -> 10 [size =\"46412800\"]\n  9 [size=\"13017088\", alpha=\"0.12\", expect_size=\"6508544\"] \n  9 -> 11 [size =\"6508544\"]\n  9 -> 12 [size =\"6508544\"]\n  10 [size=\"84230144\", alpha=\"0.14\", expect_size=\"42115072\"] \n  10 -> 11 [size =\"42115072\"]\n  10 -> 12 [size =\"42115072\"]\n  11 [size=\"31381504\", alpha=\"0.05\", expect_size=\"15690752\"] \n  11 -> 13 [size =\"15690752\"]\n  11 -> 14 [size =\"15690752\"]\n  12 [size=\"28561408\", alpha=\"0.06\", expect_size=\"14280704\"] \n  12 -> 13 [size =\"14280704\"]\n  12 -> 14 [size =\"14280704\"]\n  13 [size=\"18434048\", alpha=\"0.18\", expect_size=\"9217024\"] \n  13 -> 15 [size =\"9217024\"]\n  14 [size=\"85514240\", alpha=\"0.10\", expect_size=\"42757120\"] \n  14 -> 16 [size =\"42757120\"]\n  15 [size=\"94670848\", alpha=\"0.00\", expect_size=\"47335424\"] \n  15 -> 17 [size =\"47335424\"]\n  16 [size=\"40280064\", alpha=\"0.14\", expect_size=\"20140032\"] \n  16 -> 17 [size =\"20140032\"]\n  17 [size=\"56055808\", alpha=\"0.03\", expect_size=\"28027904\"] \n  17 -> 18 [size =\"28027904\"]\n  17 -> 19 [size =\"28027904\"]\n  18 [size=\"38893568\", alpha=\"0.08\", expect_size=\"19446784\"] \n  18 -> 20 [size =\"19446784\"]\n  18 -> 21 [size =\"19446784\"]\n  19 [size=\"98105344\", alpha=\"0.00\", expect_size=\"49052672\"] \n  19 -> 20 [size =\"49052672\"]\n  19 -> 21 [size =\"49052672\"]\n  20 [size=\"60205056\", alpha=\"0.13\", expect_size=\"30102528\"] \n  20 -> 22 [size =\"30102528\"]\n  21 [size=\"33583104\", alpha=\"0.10\", expect_size=\"16791552\"] \n  21 -> 22 [size =\"16791552\"]\n  22 [size=\"56010752\", alpha=\"0.03\", expect_size=\"28005376\"] \n  22 -> 23 [size =\"28005376\"]\n  23 [size=\"86679552\", alpha=\"0.17\", expect_size=\"43339776\"] \n  23 -> 24 [size =\"43339776\"]\n  23 -> 25 [size =\"43339776\"]\n  24 [size=\"79384576\", alpha=\"0.08\", expect_size=\"39692288\"] \n  24 -> 26 [size =\"39692288\"]\n  24 -> 27 [size =\"39692288\"]\n  25 [size=\"31610880\", alpha=\"0.14\", expect_size=\"15805440\"] \n  25 -> 27 [size =\"15805440\"]\n  26 [size=\"33030144\", alpha=\"0.01\", expect_size=\"16515072\"] \n  26 -> 28 [size =\"16515072\"]\n  27 [size=\"98836480\", alpha=\"0.00\", expect_size=\"49418240\"] \n  27 -> 28 [size =\"49418240\"]\n  28 [size=\"19030016\", alpha=\"0.17\", expect_size=\"9515008\"] \n  28 -> 29 [size =\"9515008\"]\n  29 [size=\"58634240\", alpha=\"0.14\", expect_size=\"29317120\"] \n  29 -> 30 [size =\"29317120\"]\n  30 [size=\"60907520\", alpha=\"0.07\", expect_size=\"30453760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33257472\", alpha=\"0.10\", expect_size=\"16628736\"] \n  1 -> 7 [size =\"16628736\"]\n  1 -> 8 [size =\"16628736\"]\n  1 -> 15 [size =\"16628736\"]\n  2 [size=\"43452416\", alpha=\"0.00\", expect_size=\"21726208\"] \n  2 -> 7 [size =\"21726208\"]\n  2 -> 8 [size =\"21726208\"]\n  2 -> 10 [size =\"21726208\"]\n  2 -> 11 [size =\"21726208\"]\n  2 -> 12 [size =\"21726208\"]\n  2 -> 13 [size =\"21726208\"]\n  3 [size=\"93239296\", alpha=\"0.05\", expect_size=\"46619648\"] \n  3 -> 7 [size =\"46619648\"]\n  3 -> 8 [size =\"46619648\"]\n  3 -> 9 [size =\"46619648\"]\n  3 -> 10 [size =\"46619648\"]\n  3 -> 11 [size =\"46619648\"]\n  3 -> 14 [size =\"46619648\"]\n  4 [size=\"103233536\", alpha=\"0.17\", expect_size=\"51616768\"] \n  4 -> 7 [size =\"51616768\"]\n  4 -> 10 [size =\"51616768\"]\n  4 -> 11 [size =\"51616768\"]\n  4 -> 14 [size =\"51616768\"]\n  4 -> 15 [size =\"51616768\"]\n  5 [size=\"72839168\", alpha=\"0.14\", expect_size=\"36419584\"] \n  5 -> 9 [size =\"36419584\"]\n  5 -> 10 [size =\"36419584\"]\n  5 -> 11 [size =\"36419584\"]\n  5 -> 13 [size =\"36419584\"]\n  5 -> 14 [size =\"36419584\"]\n  5 -> 15 [size =\"36419584\"]\n  6 [size=\"13355008\", alpha=\"0.08\", expect_size=\"6677504\"] \n  6 -> 8 [size =\"6677504\"]\n  6 -> 9 [size =\"6677504\"]\n  6 -> 15 [size =\"6677504\"]\n  7 [size=\"78137344\", alpha=\"0.15\", expect_size=\"39068672\"] \n  7 -> 16 [size =\"39068672\"]\n  7 -> 17 [size =\"39068672\"]\n  7 -> 20 [size =\"39068672\"]\n  7 -> 22 [size =\"39068672\"]\n  7 -> 23 [size =\"39068672\"]\n  7 -> 25 [size =\"39068672\"]\n  7 -> 27 [size =\"39068672\"]\n  8 [size=\"16551936\", alpha=\"0.05\", expect_size=\"8275968\"] \n  8 -> 20 [size =\"8275968\"]\n  8 -> 22 [size =\"8275968\"]\n  8 -> 26 [size =\"8275968\"]\n  9 [size=\"76081152\", alpha=\"0.09\", expect_size=\"38040576\"] \n  9 -> 17 [size =\"38040576\"]\n  9 -> 18 [size =\"38040576\"]\n  9 -> 21 [size =\"38040576\"]\n  9 -> 25 [size =\"38040576\"]\n  9 -> 27 [size =\"38040576\"]\n  10 [size=\"87533568\", alpha=\"0.05\", expect_size=\"43766784\"] \n  10 -> 17 [size =\"43766784\"]\n  10 -> 18 [size =\"43766784\"]\n  10 -> 20 [size =\"43766784\"]\n  10 -> 21 [size =\"43766784\"]\n  10 -> 22 [size =\"43766784\"]\n  10 -> 27 [size =\"43766784\"]\n  11 [size=\"82788352\", alpha=\"0.09\", expect_size=\"41394176\"] \n  11 -> 17 [size =\"41394176\"]\n  11 -> 18 [size =\"41394176\"]\n  11 -> 21 [size =\"41394176\"]\n  11 -> 22 [size =\"41394176\"]\n  12 [size=\"37650432\", alpha=\"0.02\", expect_size=\"18825216\"] \n  12 -> 18 [size =\"18825216\"]\n  12 -> 19 [size =\"18825216\"]\n  12 -> 20 [size =\"18825216\"]\n  12 -> 21 [size =\"18825216\"]\n  12 -> 24 [size =\"18825216\"]\n  13 [size=\"38420480\", alpha=\"0.20\", expect_size=\"19210240\"] \n  13 -> 18 [size =\"19210240\"]\n  13 -> 24 [size =\"19210240\"]\n  13 -> 25 [size =\"19210240\"]\n  13 -> 26 [size =\"19210240\"]\n  14 [size=\"60444672\", alpha=\"0.14\", expect_size=\"30222336\"] \n  14 -> 23 [size =\"30222336\"]\n  14 -> 24 [size =\"30222336\"]\n  14 -> 27 [size =\"30222336\"]\n  15 [size=\"44326912\", alpha=\"0.10\", expect_size=\"22163456\"] \n  15 -> 17 [size =\"22163456\"]\n  15 -> 18 [size =\"22163456\"]\n  15 -> 21 [size =\"22163456\"]\n  15 -> 23 [size =\"22163456\"]\n  15 -> 26 [size =\"22163456\"]\n  15 -> 27 [size =\"22163456\"]\n  16 [size=\"17600512\", alpha=\"0.06\", expect_size=\"8800256\"] \n  17 [size=\"54888448\", alpha=\"0.02\", expect_size=\"27444224\"] \n  17 -> 28 [size =\"27444224\"]\n  18 [size=\"33224704\", alpha=\"0.20\", expect_size=\"16612352\"] \n  19 [size=\"55633920\", alpha=\"0.08\", expect_size=\"27816960\"] \n  19 -> 30 [size =\"27816960\"]\n  20 [size=\"97280000\", alpha=\"0.05\", expect_size=\"48640000\"] \n  20 -> 29 [size =\"48640000\"]\n  20 -> 30 [size =\"48640000\"]\n  21 [size=\"25161728\", alpha=\"0.07\", expect_size=\"12580864\"] \n  21 -> 29 [size =\"12580864\"]\n  22 [size=\"65941504\", alpha=\"0.16\", expect_size=\"32970752\"] \n  22 -> 28 [size =\"32970752\"]\n  22 -> 29 [size =\"32970752\"]\n  23 [size=\"75116544\", alpha=\"0.03\", expect_size=\"37558272\"] \n  23 -> 29 [size =\"37558272\"]\n  24 [size=\"74989568\", alpha=\"0.09\", expect_size=\"37494784\"] \n  24 -> 28 [size =\"37494784\"]\n  25 [size=\"47290368\", alpha=\"0.08\", expect_size=\"23645184\"] \n  26 [size=\"92346368\", alpha=\"0.08\", expect_size=\"46173184\"] \n  26 -> 28 [size =\"46173184\"]\n  27 [size=\"27676672\", alpha=\"0.02\", expect_size=\"13838336\"] \n  27 -> 28 [size =\"13838336\"]\n  28 [size=\"37900288\", alpha=\"0.18\", expect_size=\"18950144\"] \n  29 [size=\"35948544\", alpha=\"0.07\", expect_size=\"17974272\"] \n  30 [size=\"74100736\", alpha=\"0.13\", expect_size=\"37050368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124026880\", alpha=\"0.13\", expect_size=\"49610752\"] \n  1 -> 8 [size =\"49610752\"]\n  2 [size=\"59893760\", alpha=\"0.11\", expect_size=\"23957504\"] \n  2 -> 7 [size =\"23957504\"]\n  2 -> 9 [size =\"23957504\"]\n  3 [size=\"82344960\", alpha=\"0.15\", expect_size=\"32937984\"] \n  3 -> 7 [size =\"32937984\"]\n  3 -> 8 [size =\"32937984\"]\n  3 -> 9 [size =\"32937984\"]\n  3 -> 10 [size =\"32937984\"]\n  4 [size=\"15964160\", alpha=\"0.12\", expect_size=\"6385664\"] \n  4 -> 7 [size =\"6385664\"]\n  4 -> 8 [size =\"6385664\"]\n  4 -> 11 [size =\"6385664\"]\n  5 [size=\"54858240\", alpha=\"0.20\", expect_size=\"21943296\"] \n  5 -> 8 [size =\"21943296\"]\n  5 -> 9 [size =\"21943296\"]\n  6 [size=\"86451200\", alpha=\"0.15\", expect_size=\"34580480\"] \n  6 -> 7 [size =\"34580480\"]\n  6 -> 8 [size =\"34580480\"]\n  6 -> 9 [size =\"34580480\"]\n  6 -> 10 [size =\"34580480\"]\n  7 [size=\"74603520\", alpha=\"0.12\", expect_size=\"29841408\"] \n  7 -> 13 [size =\"29841408\"]\n  8 [size=\"116615680\", alpha=\"0.13\", expect_size=\"46646272\"] \n  8 -> 13 [size =\"46646272\"]\n  8 -> 14 [size =\"46646272\"]\n  8 -> 15 [size =\"46646272\"]\n  9 [size=\"97349120\", alpha=\"0.01\", expect_size=\"38939648\"] \n  9 -> 12 [size =\"38939648\"]\n  9 -> 13 [size =\"38939648\"]\n  9 -> 14 [size =\"38939648\"]\n  10 [size=\"48765440\", alpha=\"0.14\", expect_size=\"19506176\"] \n  10 -> 13 [size =\"19506176\"]\n  10 -> 14 [size =\"19506176\"]\n  10 -> 15 [size =\"19506176\"]\n  11 [size=\"77263360\", alpha=\"0.10\", expect_size=\"30905344\"] \n  11 -> 14 [size =\"30905344\"]\n  12 [size=\"38912000\", alpha=\"0.14\", expect_size=\"15564800\"] \n  12 -> 16 [size =\"15564800\"]\n  12 -> 20 [size =\"15564800\"]\n  13 [size=\"101783040\", alpha=\"0.18\", expect_size=\"40713216\"] \n  13 -> 17 [size =\"40713216\"]\n  13 -> 18 [size =\"40713216\"]\n  13 -> 20 [size =\"40713216\"]\n  14 [size=\"71703040\", alpha=\"0.04\", expect_size=\"28681216\"] \n  14 -> 18 [size =\"28681216\"]\n  14 -> 19 [size =\"28681216\"]\n  14 -> 20 [size =\"28681216\"]\n  15 [size=\"24440320\", alpha=\"0.04\", expect_size=\"9776128\"] \n  15 -> 16 [size =\"9776128\"]\n  15 -> 18 [size =\"9776128\"]\n  16 [size=\"24358400\", alpha=\"0.04\", expect_size=\"9743360\"] \n  16 -> 21 [size =\"9743360\"]\n  16 -> 23 [size =\"9743360\"]\n  17 [size=\"109882880\", alpha=\"0.10\", expect_size=\"43953152\"] \n  18 [size=\"65469440\", alpha=\"0.12\", expect_size=\"26187776\"] \n  18 -> 21 [size =\"26187776\"]\n  18 -> 22 [size =\"26187776\"]\n  18 -> 23 [size =\"26187776\"]\n  19 [size=\"26327040\", alpha=\"0.08\", expect_size=\"10530816\"] \n  19 -> 21 [size =\"10530816\"]\n  19 -> 22 [size =\"10530816\"]\n  20 [size=\"34332160\", alpha=\"0.06\", expect_size=\"13732864\"] \n  20 -> 23 [size =\"13732864\"]\n  21 [size=\"117603840\", alpha=\"0.04\", expect_size=\"47041536\"] \n  21 -> 24 [size =\"47041536\"]\n  21 -> 26 [size =\"47041536\"]\n  21 -> 27 [size =\"47041536\"]\n  22 [size=\"56535040\", alpha=\"0.09\", expect_size=\"22614016\"] \n  22 -> 25 [size =\"22614016\"]\n  22 -> 26 [size =\"22614016\"]\n  23 [size=\"22120960\", alpha=\"0.06\", expect_size=\"8848384\"] \n  23 -> 26 [size =\"8848384\"]\n  23 -> 27 [size =\"8848384\"]\n  23 -> 28 [size =\"8848384\"]\n  24 [size=\"128348160\", alpha=\"0.03\", expect_size=\"51339264\"] \n  24 -> 29 [size =\"51339264\"]\n  25 [size=\"34170880\", alpha=\"0.08\", expect_size=\"13668352\"] \n  26 [size=\"56117760\", alpha=\"0.05\", expect_size=\"22447104\"] \n  26 -> 30 [size =\"22447104\"]\n  27 [size=\"82647040\", alpha=\"0.12\", expect_size=\"33058816\"] \n  28 [size=\"25945600\", alpha=\"0.17\", expect_size=\"10378240\"] \n  29 [size=\"93977600\", alpha=\"0.17\", expect_size=\"37591040\"] \n  30 [size=\"22264320\", alpha=\"0.02\", expect_size=\"8905728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11257856\", alpha=\"0.20\", expect_size=\"5628928\"] \n  1 -> 23 [size =\"5628928\"]\n  1 -> 24 [size =\"5628928\"]\n  1 -> 30 [size =\"5628928\"]\n  2 [size=\"18358272\", alpha=\"0.11\", expect_size=\"9179136\"] \n  2 -> 23 [size =\"9179136\"]\n  2 -> 28 [size =\"9179136\"]\n  2 -> 30 [size =\"9179136\"]\n  3 [size=\"47458304\", alpha=\"0.18\", expect_size=\"23729152\"] \n  3 -> 28 [size =\"23729152\"]\n  3 -> 28 [size =\"23729152\"]\n  3 -> 29 [size =\"23729152\"]\n  3 -> 30 [size =\"23729152\"]\n  4 [size=\"15661056\", alpha=\"0.04\", expect_size=\"7830528\"] \n  4 -> 22 [size =\"7830528\"]\n  4 -> 27 [size =\"7830528\"]\n  4 -> 28 [size =\"7830528\"]\n  4 -> 30 [size =\"7830528\"]\n  5 [size=\"27602944\", alpha=\"0.08\", expect_size=\"13801472\"] \n  5 -> 24 [size =\"13801472\"]\n  5 -> 26 [size =\"13801472\"]\n  5 -> 28 [size =\"13801472\"]\n  5 -> 30 [size =\"13801472\"]\n  6 [size=\"89438208\", alpha=\"0.04\", expect_size=\"44719104\"] \n  6 -> 23 [size =\"44719104\"]\n  6 -> 25 [size =\"44719104\"]\n  6 -> 28 [size =\"44719104\"]\n  7 [size=\"70615040\", alpha=\"0.01\", expect_size=\"35307520\"] \n  7 -> 25 [size =\"35307520\"]\n  7 -> 28 [size =\"35307520\"]\n  7 -> 29 [size =\"35307520\"]\n  8 [size=\"85088256\", alpha=\"0.10\", expect_size=\"42544128\"] \n  9 [size=\"78897152\", alpha=\"0.12\", expect_size=\"39448576\"] \n  9 -> 23 [size =\"39448576\"]\n  9 -> 25 [size =\"39448576\"]\n  9 -> 28 [size =\"39448576\"]\n  10 [size=\"76349440\", alpha=\"0.03\", expect_size=\"38174720\"] \n  10 -> 23 [size =\"38174720\"]\n  10 -> 25 [size =\"38174720\"]\n  10 -> 29 [size =\"38174720\"]\n  11 [size=\"37312512\", alpha=\"0.17\", expect_size=\"18656256\"] \n  11 -> 22 [size =\"18656256\"]\n  11 -> 27 [size =\"18656256\"]\n  12 [size=\"35522560\", alpha=\"0.17\", expect_size=\"17761280\"] \n  12 -> 22 [size =\"17761280\"]\n  12 -> 23 [size =\"17761280\"]\n  12 -> 29 [size =\"17761280\"]\n  13 [size=\"85874688\", alpha=\"0.14\", expect_size=\"42937344\"] \n  13 -> 23 [size =\"42937344\"]\n  13 -> 27 [size =\"42937344\"]\n  13 -> 29 [size =\"42937344\"]\n  14 [size=\"78276608\", alpha=\"0.00\", expect_size=\"39138304\"] \n  14 -> 24 [size =\"39138304\"]\n  14 -> 28 [size =\"39138304\"]\n  14 -> 30 [size =\"39138304\"]\n  15 [size=\"96702464\", alpha=\"0.04\", expect_size=\"48351232\"] \n  15 -> 22 [size =\"48351232\"]\n  15 -> 23 [size =\"48351232\"]\n  15 -> 25 [size =\"48351232\"]\n  15 -> 27 [size =\"48351232\"]\n  15 -> 28 [size =\"48351232\"]\n  15 -> 30 [size =\"48351232\"]\n  16 [size=\"39444480\", alpha=\"0.14\", expect_size=\"19722240\"] \n  16 -> 23 [size =\"19722240\"]\n  16 -> 24 [size =\"19722240\"]\n  16 -> 25 [size =\"19722240\"]\n  16 -> 27 [size =\"19722240\"]\n  16 -> 30 [size =\"19722240\"]\n  17 [size=\"56881152\", alpha=\"0.16\", expect_size=\"28440576\"] \n  17 -> 24 [size =\"28440576\"]\n  17 -> 25 [size =\"28440576\"]\n  17 -> 27 [size =\"28440576\"]\n  17 -> 27 [size =\"28440576\"]\n  17 -> 28 [size =\"28440576\"]\n  18 [size=\"60291072\", alpha=\"0.00\", expect_size=\"30145536\"] \n  18 -> 22 [size =\"30145536\"]\n  18 -> 23 [size =\"30145536\"]\n  18 -> 24 [size =\"30145536\"]\n  18 -> 27 [size =\"30145536\"]\n  18 -> 28 [size =\"30145536\"]\n  18 -> 30 [size =\"30145536\"]\n  19 [size=\"12224512\", alpha=\"0.01\", expect_size=\"6112256\"] \n  19 -> 22 [size =\"6112256\"]\n  19 -> 23 [size =\"6112256\"]\n  19 -> 24 [size =\"6112256\"]\n  19 -> 25 [size =\"6112256\"]\n  19 -> 26 [size =\"6112256\"]\n  19 -> 27 [size =\"6112256\"]\n  19 -> 28 [size =\"6112256\"]\n  19 -> 30 [size =\"6112256\"]\n  20 [size=\"66549760\", alpha=\"0.09\", expect_size=\"33274880\"] \n  20 -> 22 [size =\"33274880\"]\n  20 -> 24 [size =\"33274880\"]\n  20 -> 25 [size =\"33274880\"]\n  20 -> 27 [size =\"33274880\"]\n  20 -> 28 [size =\"33274880\"]\n  20 -> 30 [size =\"33274880\"]\n  21 [size=\"78999552\", alpha=\"0.18\", expect_size=\"39499776\"] \n  21 -> 23 [size =\"39499776\"]\n  21 -> 24 [size =\"39499776\"]\n  21 -> 27 [size =\"39499776\"]\n  21 -> 27 [size =\"39499776\"]\n  21 -> 28 [size =\"39499776\"]\n  21 -> 30 [size =\"39499776\"]\n  22 [size=\"66144256\", alpha=\"0.08\", expect_size=\"33072128\"] \n  23 [size=\"50249728\", alpha=\"0.06\", expect_size=\"25124864\"] \n  24 [size=\"20137984\", alpha=\"0.05\", expect_size=\"10068992\"] \n  25 [size=\"22274048\", alpha=\"0.08\", expect_size=\"11137024\"] \n  26 [size=\"40609792\", alpha=\"0.07\", expect_size=\"20304896\"] \n  27 [size=\"11261952\", alpha=\"0.19\", expect_size=\"5630976\"] \n  28 [size=\"87470080\", alpha=\"0.07\", expect_size=\"43735040\"] \n  29 [size=\"87904256\", alpha=\"0.10\", expect_size=\"43952128\"] \n  30 [size=\"91150336\", alpha=\"0.07\", expect_size=\"45575168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96276480\", alpha=\"0.09\", expect_size=\"28882944\"] \n  1 -> 5 [size =\"28882944\"]\n  1 -> 6 [size =\"28882944\"]\n  1 -> 7 [size =\"28882944\"]\n  2 [size=\"155357867\", alpha=\"0.06\", expect_size=\"46607360\"] \n  2 -> 5 [size =\"46607360\"]\n  2 -> 6 [size =\"46607360\"]\n  2 -> 7 [size =\"46607360\"]\n  3 [size=\"43004587\", alpha=\"0.15\", expect_size=\"12901376\"] \n  3 -> 5 [size =\"12901376\"]\n  3 -> 6 [size =\"12901376\"]\n  3 -> 8 [size =\"12901376\"]\n  4 [size=\"153142613\", alpha=\"0.10\", expect_size=\"45942784\"] \n  4 -> 7 [size =\"45942784\"]\n  4 -> 8 [size =\"45942784\"]\n  5 [size=\"139994453\", alpha=\"0.19\", expect_size=\"41998336\"] \n  5 -> 11 [size =\"41998336\"]\n  6 [size=\"22097920\", alpha=\"0.19\", expect_size=\"6629376\"] \n  6 -> 11 [size =\"6629376\"]\n  7 [size=\"118234453\", alpha=\"0.05\", expect_size=\"35470336\"] \n  7 -> 10 [size =\"35470336\"]\n  7 -> 12 [size =\"35470336\"]\n  8 [size=\"146629973\", alpha=\"0.11\", expect_size=\"43988992\"] \n  8 -> 9 [size =\"43988992\"]\n  8 -> 10 [size =\"43988992\"]\n  8 -> 12 [size =\"43988992\"]\n  9 [size=\"54108160\", alpha=\"0.08\", expect_size=\"16232448\"] \n  9 -> 16 [size =\"16232448\"]\n  9 -> 17 [size =\"16232448\"]\n  10 [size=\"108875093\", alpha=\"0.12\", expect_size=\"32662528\"] \n  10 -> 13 [size =\"32662528\"]\n  10 -> 15 [size =\"32662528\"]\n  10 -> 16 [size =\"32662528\"]\n  11 [size=\"128139947\", alpha=\"0.12\", expect_size=\"38441984\"] \n  11 -> 13 [size =\"38441984\"]\n  12 [size=\"39587840\", alpha=\"0.15\", expect_size=\"11876352\"] \n  12 -> 13 [size =\"11876352\"]\n  12 -> 14 [size =\"11876352\"]\n  13 [size=\"86316373\", alpha=\"0.07\", expect_size=\"25894912\"] \n  13 -> 19 [size =\"25894912\"]\n  13 -> 20 [size =\"25894912\"]\n  13 -> 21 [size =\"25894912\"]\n  14 [size=\"47677440\", alpha=\"0.14\", expect_size=\"14303232\"] \n  14 -> 18 [size =\"14303232\"]\n  15 [size=\"127235413\", alpha=\"0.09\", expect_size=\"38170624\"] \n  15 -> 18 [size =\"38170624\"]\n  15 -> 19 [size =\"38170624\"]\n  15 -> 20 [size =\"38170624\"]\n  16 [size=\"117555200\", alpha=\"0.12\", expect_size=\"35266560\"] \n  16 -> 18 [size =\"35266560\"]\n  16 -> 19 [size =\"35266560\"]\n  16 -> 20 [size =\"35266560\"]\n  16 -> 21 [size =\"35266560\"]\n  17 [size=\"108933120\", alpha=\"0.20\", expect_size=\"32679936\"] \n  17 -> 19 [size =\"32679936\"]\n  17 -> 20 [size =\"32679936\"]\n  18 [size=\"149135360\", alpha=\"0.13\", expect_size=\"44740608\"] \n  18 -> 22 [size =\"44740608\"]\n  19 [size=\"74789547\", alpha=\"0.08\", expect_size=\"22436864\"] \n  19 -> 22 [size =\"22436864\"]\n  19 -> 23 [size =\"22436864\"]\n  19 -> 25 [size =\"22436864\"]\n  20 [size=\"137352533\", alpha=\"0.03\", expect_size=\"41205760\"] \n  20 -> 22 [size =\"41205760\"]\n  20 -> 23 [size =\"41205760\"]\n  20 -> 25 [size =\"41205760\"]\n  21 [size=\"72185173\", alpha=\"0.09\", expect_size=\"21655552\"] \n  21 -> 24 [size =\"21655552\"]\n  22 [size=\"166871040\", alpha=\"0.12\", expect_size=\"50061312\"] \n  22 -> 27 [size =\"50061312\"]\n  22 -> 28 [size =\"50061312\"]\n  23 [size=\"126528853\", alpha=\"0.19\", expect_size=\"37958656\"] \n  23 -> 28 [size =\"37958656\"]\n  23 -> 29 [size =\"37958656\"]\n  24 [size=\"21312853\", alpha=\"0.02\", expect_size=\"6393856\"] \n  25 [size=\"132713813\", alpha=\"0.01\", expect_size=\"39814144\"] \n  25 -> 26 [size =\"39814144\"]\n  26 [size=\"43158187\", alpha=\"0.01\", expect_size=\"12947456\"] \n  26 -> 30 [size =\"12947456\"]\n  27 [size=\"134608213\", alpha=\"0.14\", expect_size=\"40382464\"] \n  27 -> 30 [size =\"40382464\"]\n  28 [size=\"133949440\", alpha=\"0.03\", expect_size=\"40184832\"] \n  28 -> 30 [size =\"40184832\"]\n  29 [size=\"77117440\", alpha=\"0.16\", expect_size=\"23135232\"] \n  30 [size=\"139035307\", alpha=\"0.02\", expect_size=\"41710592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30476288\", alpha=\"0.14\", expect_size=\"15238144\"] \n  1 -> 6 [size =\"15238144\"]\n  1 -> 8 [size =\"15238144\"]\n  1 -> 9 [size =\"15238144\"]\n  2 [size=\"53450752\", alpha=\"0.09\", expect_size=\"26725376\"] \n  2 -> 8 [size =\"26725376\"]\n  2 -> 9 [size =\"26725376\"]\n  3 [size=\"95422464\", alpha=\"0.10\", expect_size=\"47711232\"] \n  3 -> 5 [size =\"47711232\"]\n  3 -> 8 [size =\"47711232\"]\n  3 -> 9 [size =\"47711232\"]\n  4 [size=\"68724736\", alpha=\"0.15\", expect_size=\"34362368\"] \n  4 -> 5 [size =\"34362368\"]\n  4 -> 7 [size =\"34362368\"]\n  5 [size=\"88745984\", alpha=\"0.17\", expect_size=\"44372992\"] \n  5 -> 12 [size =\"44372992\"]\n  5 -> 13 [size =\"44372992\"]\n  6 [size=\"42973184\", alpha=\"0.02\", expect_size=\"21486592\"] \n  7 [size=\"95836160\", alpha=\"0.06\", expect_size=\"47918080\"] \n  7 -> 10 [size =\"47918080\"]\n  7 -> 11 [size =\"47918080\"]\n  8 [size=\"99371008\", alpha=\"0.18\", expect_size=\"49685504\"] \n  8 -> 13 [size =\"49685504\"]\n  8 -> 14 [size =\"49685504\"]\n  9 [size=\"51167232\", alpha=\"0.12\", expect_size=\"25583616\"] \n  9 -> 12 [size =\"25583616\"]\n  9 -> 13 [size =\"25583616\"]\n  10 [size=\"52260864\", alpha=\"0.11\", expect_size=\"26130432\"] \n  11 [size=\"43870208\", alpha=\"0.03\", expect_size=\"21935104\"] \n  12 [size=\"14336000\", alpha=\"0.07\", expect_size=\"7168000\"] \n  12 -> 15 [size =\"7168000\"]\n  12 -> 17 [size =\"7168000\"]\n  13 [size=\"56406016\", alpha=\"0.00\", expect_size=\"28203008\"] \n  13 -> 15 [size =\"28203008\"]\n  14 [size=\"104419328\", alpha=\"0.08\", expect_size=\"52209664\"] \n  14 -> 16 [size =\"52209664\"]\n  15 [size=\"82335744\", alpha=\"0.17\", expect_size=\"41167872\"] \n  16 [size=\"66625536\", alpha=\"0.02\", expect_size=\"33312768\"] \n  16 -> 18 [size =\"33312768\"]\n  16 -> 20 [size =\"33312768\"]\n  16 -> 22 [size =\"33312768\"]\n  17 [size=\"77299712\", alpha=\"0.03\", expect_size=\"38649856\"] \n  17 -> 19 [size =\"38649856\"]\n  17 -> 20 [size =\"38649856\"]\n  17 -> 21 [size =\"38649856\"]\n  18 [size=\"12070912\", alpha=\"0.12\", expect_size=\"6035456\"] \n  18 -> 24 [size =\"6035456\"]\n  18 -> 25 [size =\"6035456\"]\n  19 [size=\"94984192\", alpha=\"0.16\", expect_size=\"47492096\"] \n  20 [size=\"56868864\", alpha=\"0.14\", expect_size=\"28434432\"] \n  20 -> 26 [size =\"28434432\"]\n  20 -> 27 [size =\"28434432\"]\n  20 -> 28 [size =\"28434432\"]\n  21 [size=\"15464448\", alpha=\"0.16\", expect_size=\"7732224\"] \n  21 -> 24 [size =\"7732224\"]\n  21 -> 28 [size =\"7732224\"]\n  22 [size=\"31803392\", alpha=\"0.07\", expect_size=\"15901696\"] \n  22 -> 23 [size =\"15901696\"]\n  22 -> 24 [size =\"15901696\"]\n  22 -> 27 [size =\"15901696\"]\n  22 -> 28 [size =\"15901696\"]\n  23 [size=\"67022848\", alpha=\"0.17\", expect_size=\"33511424\"] \n  24 [size=\"68737024\", alpha=\"0.18\", expect_size=\"34368512\"] \n  24 -> 29 [size =\"34368512\"]\n  24 -> 30 [size =\"34368512\"]\n  25 [size=\"12906496\", alpha=\"0.17\", expect_size=\"6453248\"] \n  25 -> 29 [size =\"6453248\"]\n  25 -> 30 [size =\"6453248\"]\n  26 [size=\"91314176\", alpha=\"0.02\", expect_size=\"45657088\"] \n  26 -> 29 [size =\"45657088\"]\n  26 -> 30 [size =\"45657088\"]\n  27 [size=\"100827136\", alpha=\"0.05\", expect_size=\"50413568\"] \n  27 -> 29 [size =\"50413568\"]\n  27 -> 30 [size =\"50413568\"]\n  28 [size=\"21440512\", alpha=\"0.07\", expect_size=\"10720256\"] \n  28 -> 30 [size =\"10720256\"]\n  29 [size=\"78526464\", alpha=\"0.18\", expect_size=\"39263232\"] \n  30 [size=\"58544128\", alpha=\"0.17\", expect_size=\"29272064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107100160\", alpha=\"0.02\", expect_size=\"32130048\"] \n  1 -> 2 [size =\"32130048\"]\n  2 [size=\"156719787\", alpha=\"0.13\", expect_size=\"47015936\"] \n  2 -> 3 [size =\"47015936\"]\n  3 [size=\"140714667\", alpha=\"0.19\", expect_size=\"42214400\"] \n  3 -> 4 [size =\"42214400\"]\n  4 [size=\"95532373\", alpha=\"0.19\", expect_size=\"28659712\"] \n  4 -> 5 [size =\"28659712\"]\n  5 [size=\"97430187\", alpha=\"0.08\", expect_size=\"29229056\"] \n  5 -> 6 [size =\"29229056\"]\n  6 [size=\"115401387\", alpha=\"0.18\", expect_size=\"34620416\"] \n  6 -> 7 [size =\"34620416\"]\n  7 [size=\"21405013\", alpha=\"0.00\", expect_size=\"6421504\"] \n  7 -> 8 [size =\"6421504\"]\n  8 [size=\"28924587\", alpha=\"0.05\", expect_size=\"8677376\"] \n  8 -> 9 [size =\"8677376\"]\n  9 [size=\"27245227\", alpha=\"0.02\", expect_size=\"8173568\"] \n  9 -> 10 [size =\"8173568\"]\n  10 [size=\"19435520\", alpha=\"0.03\", expect_size=\"5830656\"] \n  10 -> 11 [size =\"5830656\"]\n  11 [size=\"25954987\", alpha=\"0.19\", expect_size=\"7786496\"] \n  11 -> 12 [size =\"7786496\"]\n  12 [size=\"41475413\", alpha=\"0.08\", expect_size=\"12442624\"] \n  12 -> 13 [size =\"12442624\"]\n  13 [size=\"147606187\", alpha=\"0.09\", expect_size=\"44281856\"] \n  13 -> 14 [size =\"44281856\"]\n  14 [size=\"142503253\", alpha=\"0.17\", expect_size=\"42750976\"] \n  14 -> 15 [size =\"42750976\"]\n  15 [size=\"131607893\", alpha=\"0.10\", expect_size=\"39482368\"] \n  15 -> 16 [size =\"39482368\"]\n  16 [size=\"40526507\", alpha=\"0.01\", expect_size=\"12157952\"] \n  16 -> 17 [size =\"12157952\"]\n  17 [size=\"22446080\", alpha=\"0.04\", expect_size=\"6733824\"] \n  17 -> 18 [size =\"6733824\"]\n  18 [size=\"25333760\", alpha=\"0.06\", expect_size=\"7600128\"] \n  18 -> 19 [size =\"7600128\"]\n  19 [size=\"63778133\", alpha=\"0.19\", expect_size=\"19133440\"] \n  19 -> 20 [size =\"19133440\"]\n  20 [size=\"76144640\", alpha=\"0.15\", expect_size=\"22843392\"] \n  20 -> 21 [size =\"22843392\"]\n  21 [size=\"102987093\", alpha=\"0.02\", expect_size=\"30896128\"] \n  21 -> 22 [size =\"30896128\"]\n  22 [size=\"96901120\", alpha=\"0.07\", expect_size=\"29070336\"] \n  22 -> 23 [size =\"29070336\"]\n  23 [size=\"159013547\", alpha=\"0.08\", expect_size=\"47704064\"] \n  23 -> 24 [size =\"47704064\"]\n  24 [size=\"72676693\", alpha=\"0.19\", expect_size=\"21803008\"] \n  24 -> 25 [size =\"21803008\"]\n  25 [size=\"49244160\", alpha=\"0.19\", expect_size=\"14773248\"] \n  25 -> 26 [size =\"14773248\"]\n  26 [size=\"125426347\", alpha=\"0.13\", expect_size=\"37627904\"] \n  26 -> 27 [size =\"37627904\"]\n  27 [size=\"129815893\", alpha=\"0.07\", expect_size=\"38944768\"] \n  27 -> 28 [size =\"38944768\"]\n  28 [size=\"161720320\", alpha=\"0.02\", expect_size=\"48516096\"] \n  28 -> 29 [size =\"48516096\"]\n  29 [size=\"50817707\", alpha=\"0.18\", expect_size=\"15245312\"] \n  29 -> 30 [size =\"15245312\"]\n  30 [size=\"39796053\", alpha=\"0.15\", expect_size=\"11938816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90607616\", alpha=\"0.06\", expect_size=\"45303808\"] \n  2 [size=\"12199936\", alpha=\"0.17\", expect_size=\"6099968\"] \n  2 -> 9 [size =\"6099968\"]\n  3 [size=\"14422016\", alpha=\"0.12\", expect_size=\"7211008\"] \n  3 -> 6 [size =\"7211008\"]\n  3 -> 8 [size =\"7211008\"]\n  4 [size=\"42186752\", alpha=\"0.19\", expect_size=\"21093376\"] \n  4 -> 5 [size =\"21093376\"]\n  4 -> 7 [size =\"21093376\"]\n  4 -> 10 [size =\"21093376\"]\n  5 [size=\"60041216\", alpha=\"0.14\", expect_size=\"30020608\"] \n  5 -> 11 [size =\"30020608\"]\n  5 -> 14 [size =\"30020608\"]\n  6 [size=\"13672448\", alpha=\"0.15\", expect_size=\"6836224\"] \n  6 -> 11 [size =\"6836224\"]\n  6 -> 14 [size =\"6836224\"]\n  7 [size=\"11544576\", alpha=\"0.17\", expect_size=\"5772288\"] \n  7 -> 12 [size =\"5772288\"]\n  7 -> 13 [size =\"5772288\"]\n  7 -> 15 [size =\"5772288\"]\n  8 [size=\"16732160\", alpha=\"0.03\", expect_size=\"8366080\"] \n  8 -> 12 [size =\"8366080\"]\n  8 -> 14 [size =\"8366080\"]\n  8 -> 15 [size =\"8366080\"]\n  9 [size=\"87187456\", alpha=\"0.01\", expect_size=\"43593728\"] \n  10 [size=\"79798272\", alpha=\"0.00\", expect_size=\"39899136\"] \n  10 -> 16 [size =\"39899136\"]\n  10 -> 17 [size =\"39899136\"]\n  11 [size=\"64778240\", alpha=\"0.18\", expect_size=\"32389120\"] \n  12 [size=\"95430656\", alpha=\"0.18\", expect_size=\"47715328\"] \n  12 -> 18 [size =\"47715328\"]\n  12 -> 19 [size =\"47715328\"]\n  13 [size=\"80054272\", alpha=\"0.10\", expect_size=\"40027136\"] \n  13 -> 18 [size =\"40027136\"]\n  14 [size=\"42201088\", alpha=\"0.06\", expect_size=\"21100544\"] \n  14 -> 19 [size =\"21100544\"]\n  15 [size=\"35848192\", alpha=\"0.16\", expect_size=\"17924096\"] \n  15 -> 19 [size =\"17924096\"]\n  16 [size=\"101416960\", alpha=\"0.18\", expect_size=\"50708480\"] \n  16 -> 19 [size =\"50708480\"]\n  17 [size=\"76359680\", alpha=\"0.14\", expect_size=\"38179840\"] \n  17 -> 20 [size =\"38179840\"]\n  18 [size=\"64446464\", alpha=\"0.10\", expect_size=\"32223232\"] \n  18 -> 22 [size =\"32223232\"]\n  18 -> 23 [size =\"32223232\"]\n  19 [size=\"80898048\", alpha=\"0.15\", expect_size=\"40449024\"] \n  19 -> 24 [size =\"40449024\"]\n  20 [size=\"86507520\", alpha=\"0.05\", expect_size=\"43253760\"] \n  20 -> 21 [size =\"43253760\"]\n  20 -> 22 [size =\"43253760\"]\n  20 -> 23 [size =\"43253760\"]\n  20 -> 25 [size =\"43253760\"]\n  20 -> 26 [size =\"43253760\"]\n  20 -> 27 [size =\"43253760\"]\n  21 [size=\"87070720\", alpha=\"0.11\", expect_size=\"43535360\"] \n  21 -> 30 [size =\"43535360\"]\n  22 [size=\"76867584\", alpha=\"0.19\", expect_size=\"38433792\"] \n  22 -> 29 [size =\"38433792\"]\n  23 [size=\"65357824\", alpha=\"0.07\", expect_size=\"32678912\"] \n  23 -> 28 [size =\"32678912\"]\n  23 -> 29 [size =\"32678912\"]\n  24 [size=\"15994880\", alpha=\"0.02\", expect_size=\"7997440\"] \n  25 [size=\"45332480\", alpha=\"0.07\", expect_size=\"22666240\"] \n  25 -> 28 [size =\"22666240\"]\n  26 [size=\"24211456\", alpha=\"0.13\", expect_size=\"12105728\"] \n  26 -> 28 [size =\"12105728\"]\n  27 [size=\"16498688\", alpha=\"0.19\", expect_size=\"8249344\"] \n  27 -> 30 [size =\"8249344\"]\n  28 [size=\"84817920\", alpha=\"0.07\", expect_size=\"42408960\"] \n  29 [size=\"39213056\", alpha=\"0.11\", expect_size=\"19606528\"] \n  30 [size=\"13568000\", alpha=\"0.09\", expect_size=\"6784000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88995840\", alpha=\"0.10\", expect_size=\"35598336\"] \n  1 -> 2 [size =\"35598336\"]\n  1 -> 3 [size =\"35598336\"]\n  2 [size=\"68846080\", alpha=\"0.16\", expect_size=\"27538432\"] \n  2 -> 4 [size =\"27538432\"]\n  3 [size=\"126417920\", alpha=\"0.06\", expect_size=\"50567168\"] \n  3 -> 4 [size =\"50567168\"]\n  4 [size=\"77959680\", alpha=\"0.00\", expect_size=\"31183872\"] \n  4 -> 5 [size =\"31183872\"]\n  4 -> 6 [size =\"31183872\"]\n  5 [size=\"81372160\", alpha=\"0.07\", expect_size=\"32548864\"] \n  5 -> 7 [size =\"32548864\"]\n  6 [size=\"114977280\", alpha=\"0.16\", expect_size=\"45990912\"] \n  6 -> 7 [size =\"45990912\"]\n  7 [size=\"48762880\", alpha=\"0.06\", expect_size=\"19505152\"] \n  7 -> 8 [size =\"19505152\"]\n  8 [size=\"68152320\", alpha=\"0.00\", expect_size=\"27260928\"] \n  8 -> 9 [size =\"27260928\"]\n  9 [size=\"78325760\", alpha=\"0.04\", expect_size=\"31330304\"] \n  9 -> 10 [size =\"31330304\"]\n  10 [size=\"15334400\", alpha=\"0.00\", expect_size=\"6133760\"] \n  10 -> 11 [size =\"6133760\"]\n  11 [size=\"115018240\", alpha=\"0.11\", expect_size=\"46007296\"] \n  11 -> 12 [size =\"46007296\"]\n  11 -> 13 [size =\"46007296\"]\n  12 [size=\"54028800\", alpha=\"0.06\", expect_size=\"21611520\"] \n  12 -> 14 [size =\"21611520\"]\n  12 -> 15 [size =\"21611520\"]\n  13 [size=\"30461440\", alpha=\"0.06\", expect_size=\"12184576\"] \n  13 -> 14 [size =\"12184576\"]\n  14 [size=\"66979840\", alpha=\"0.08\", expect_size=\"26791936\"] \n  15 [size=\"69501440\", alpha=\"0.09\", expect_size=\"27800576\"] \n  15 -> 16 [size =\"27800576\"]\n  16 [size=\"109178880\", alpha=\"0.11\", expect_size=\"43671552\"] \n  16 -> 17 [size =\"43671552\"]\n  16 -> 18 [size =\"43671552\"]\n  17 [size=\"87057920\", alpha=\"0.07\", expect_size=\"34823168\"] \n  18 [size=\"124500480\", alpha=\"0.19\", expect_size=\"49800192\"] \n  18 -> 19 [size =\"49800192\"]\n  18 -> 20 [size =\"49800192\"]\n  19 [size=\"126791680\", alpha=\"0.07\", expect_size=\"50716672\"] \n  19 -> 21 [size =\"50716672\"]\n  20 [size=\"34263040\", alpha=\"0.03\", expect_size=\"13705216\"] \n  21 [size=\"34636800\", alpha=\"0.12\", expect_size=\"13854720\"] \n  21 -> 22 [size =\"13854720\"]\n  21 -> 23 [size =\"13854720\"]\n  22 [size=\"99384320\", alpha=\"0.10\", expect_size=\"39753728\"] \n  23 [size=\"18035200\", alpha=\"0.08\", expect_size=\"7214080\"] \n  23 -> 24 [size =\"7214080\"]\n  24 [size=\"51622400\", alpha=\"0.17\", expect_size=\"20648960\"] \n  24 -> 25 [size =\"20648960\"]\n  25 [size=\"98055680\", alpha=\"0.17\", expect_size=\"39222272\"] \n  25 -> 26 [size =\"39222272\"]\n  26 [size=\"30676480\", alpha=\"0.14\", expect_size=\"12270592\"] \n  26 -> 27 [size =\"12270592\"]\n  26 -> 28 [size =\"12270592\"]\n  27 [size=\"93690880\", alpha=\"0.18\", expect_size=\"37476352\"] \n  27 -> 30 [size =\"37476352\"]\n  28 [size=\"14213120\", alpha=\"0.10\", expect_size=\"5685248\"] \n  28 -> 29 [size =\"5685248\"]\n  29 [size=\"127710720\", alpha=\"0.14\", expect_size=\"51084288\"] \n  30 [size=\"51379200\", alpha=\"0.18\", expect_size=\"20551680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23611392\", alpha=\"0.14\", expect_size=\"11805696\"] \n  1 -> 21 [size =\"11805696\"]\n  1 -> 29 [size =\"11805696\"]\n  1 -> 30 [size =\"11805696\"]\n  2 [size=\"79589376\", alpha=\"0.11\", expect_size=\"39794688\"] \n  2 -> 20 [size =\"39794688\"]\n  2 -> 22 [size =\"39794688\"]\n  2 -> 23 [size =\"39794688\"]\n  2 -> 25 [size =\"39794688\"]\n  2 -> 30 [size =\"39794688\"]\n  3 [size=\"15810560\", alpha=\"0.11\", expect_size=\"7905280\"] \n  3 -> 21 [size =\"7905280\"]\n  3 -> 22 [size =\"7905280\"]\n  3 -> 25 [size =\"7905280\"]\n  3 -> 27 [size =\"7905280\"]\n  3 -> 29 [size =\"7905280\"]\n  4 [size=\"104491008\", alpha=\"0.06\", expect_size=\"52245504\"] \n  4 -> 21 [size =\"52245504\"]\n  4 -> 26 [size =\"52245504\"]\n  4 -> 28 [size =\"52245504\"]\n  5 [size=\"17930240\", alpha=\"0.01\", expect_size=\"8965120\"] \n  5 -> 20 [size =\"8965120\"]\n  5 -> 26 [size =\"8965120\"]\n  5 -> 28 [size =\"8965120\"]\n  6 [size=\"58212352\", alpha=\"0.13\", expect_size=\"29106176\"] \n  6 -> 20 [size =\"29106176\"]\n  6 -> 25 [size =\"29106176\"]\n  6 -> 26 [size =\"29106176\"]\n  6 -> 28 [size =\"29106176\"]\n  6 -> 29 [size =\"29106176\"]\n  6 -> 30 [size =\"29106176\"]\n  7 [size=\"10772480\", alpha=\"0.19\", expect_size=\"5386240\"] \n  7 -> 29 [size =\"5386240\"]\n  7 -> 30 [size =\"5386240\"]\n  8 [size=\"33228800\", alpha=\"0.15\", expect_size=\"16614400\"] \n  8 -> 21 [size =\"16614400\"]\n  8 -> 28 [size =\"16614400\"]\n  9 [size=\"80187392\", alpha=\"0.04\", expect_size=\"40093696\"] \n  9 -> 21 [size =\"40093696\"]\n  9 -> 22 [size =\"40093696\"]\n  9 -> 26 [size =\"40093696\"]\n  10 [size=\"101058560\", alpha=\"0.11\", expect_size=\"50529280\"] \n  10 -> 21 [size =\"50529280\"]\n  10 -> 22 [size =\"50529280\"]\n  10 -> 23 [size =\"50529280\"]\n  10 -> 29 [size =\"50529280\"]\n  11 [size=\"57874432\", alpha=\"0.02\", expect_size=\"28937216\"] \n  11 -> 21 [size =\"28937216\"]\n  11 -> 27 [size =\"28937216\"]\n  12 [size=\"28467200\", alpha=\"0.18\", expect_size=\"14233600\"] \n  12 -> 21 [size =\"14233600\"]\n  12 -> 24 [size =\"14233600\"]\n  12 -> 28 [size =\"14233600\"]\n  12 -> 30 [size =\"14233600\"]\n  13 [size=\"82518016\", alpha=\"0.16\", expect_size=\"41259008\"] \n  13 -> 26 [size =\"41259008\"]\n  13 -> 29 [size =\"41259008\"]\n  13 -> 30 [size =\"41259008\"]\n  14 [size=\"38334464\", alpha=\"0.19\", expect_size=\"19167232\"] \n  14 -> 27 [size =\"19167232\"]\n  14 -> 29 [size =\"19167232\"]\n  14 -> 30 [size =\"19167232\"]\n  15 [size=\"68081664\", alpha=\"0.02\", expect_size=\"34040832\"] \n  15 -> 30 [size =\"34040832\"]\n  16 [size=\"74799104\", alpha=\"0.19\", expect_size=\"37399552\"] \n  16 -> 21 [size =\"37399552\"]\n  16 -> 30 [size =\"37399552\"]\n  17 [size=\"39460864\", alpha=\"0.14\", expect_size=\"19730432\"] \n  17 -> 21 [size =\"19730432\"]\n  18 [size=\"36503552\", alpha=\"0.03\", expect_size=\"18251776\"] \n  18 -> 29 [size =\"18251776\"]\n  19 [size=\"12077056\", alpha=\"0.11\", expect_size=\"6038528\"] \n  19 -> 20 [size =\"6038528\"]\n  19 -> 22 [size =\"6038528\"]\n  20 [size=\"29517824\", alpha=\"0.17\", expect_size=\"14758912\"] \n  21 [size=\"80599040\", alpha=\"0.06\", expect_size=\"40299520\"] \n  22 [size=\"91357184\", alpha=\"0.09\", expect_size=\"45678592\"] \n  23 [size=\"83200000\", alpha=\"0.14\", expect_size=\"41600000\"] \n  24 [size=\"62283776\", alpha=\"0.19\", expect_size=\"31141888\"] \n  25 [size=\"56160256\", alpha=\"0.05\", expect_size=\"28080128\"] \n  26 [size=\"67635200\", alpha=\"0.02\", expect_size=\"33817600\"] \n  27 [size=\"61452288\", alpha=\"0.18\", expect_size=\"30726144\"] \n  28 [size=\"33474560\", alpha=\"0.19\", expect_size=\"16737280\"] \n  29 [size=\"48158720\", alpha=\"0.15\", expect_size=\"24079360\"] \n  30 [size=\"98283520\", alpha=\"0.10\", expect_size=\"49141760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32056320\", alpha=\"0.14\", expect_size=\"12822528\"] \n  1 -> 19 [size =\"12822528\"]\n  1 -> 21 [size =\"12822528\"]\n  1 -> 23 [size =\"12822528\"]\n  1 -> 25 [size =\"12822528\"]\n  1 -> 27 [size =\"12822528\"]\n  1 -> 29 [size =\"12822528\"]\n  1 -> 30 [size =\"12822528\"]\n  2 [size=\"68807680\", alpha=\"0.13\", expect_size=\"27523072\"] \n  2 -> 19 [size =\"27523072\"]\n  2 -> 21 [size =\"27523072\"]\n  2 -> 26 [size =\"27523072\"]\n  2 -> 27 [size =\"27523072\"]\n  2 -> 29 [size =\"27523072\"]\n  2 -> 30 [size =\"27523072\"]\n  3 [size=\"52154880\", alpha=\"0.02\", expect_size=\"20861952\"] \n  3 -> 20 [size =\"20861952\"]\n  3 -> 21 [size =\"20861952\"]\n  3 -> 27 [size =\"20861952\"]\n  3 -> 27 [size =\"20861952\"]\n  3 -> 29 [size =\"20861952\"]\n  3 -> 30 [size =\"20861952\"]\n  4 [size=\"102707200\", alpha=\"0.09\", expect_size=\"41082880\"] \n  4 -> 20 [size =\"41082880\"]\n  4 -> 24 [size =\"41082880\"]\n  4 -> 25 [size =\"41082880\"]\n  4 -> 28 [size =\"41082880\"]\n  4 -> 30 [size =\"41082880\"]\n  5 [size=\"72988160\", alpha=\"0.00\", expect_size=\"29195264\"] \n  5 -> 18 [size =\"29195264\"]\n  5 -> 23 [size =\"29195264\"]\n  5 -> 29 [size =\"29195264\"]\n  6 [size=\"92833280\", alpha=\"0.09\", expect_size=\"37133312\"] \n  6 -> 23 [size =\"37133312\"]\n  6 -> 30 [size =\"37133312\"]\n  7 [size=\"30758400\", alpha=\"0.15\", expect_size=\"12303360\"] \n  7 -> 18 [size =\"12303360\"]\n  7 -> 19 [size =\"12303360\"]\n  7 -> 21 [size =\"12303360\"]\n  7 -> 26 [size =\"12303360\"]\n  7 -> 29 [size =\"12303360\"]\n  8 [size=\"20139520\", alpha=\"0.04\", expect_size=\"8055808\"] \n  8 -> 20 [size =\"8055808\"]\n  8 -> 22 [size =\"8055808\"]\n  8 -> 28 [size =\"8055808\"]\n  8 -> 29 [size =\"8055808\"]\n  9 [size=\"102807040\", alpha=\"0.00\", expect_size=\"41122816\"] \n  9 -> 20 [size =\"41122816\"]\n  9 -> 23 [size =\"41122816\"]\n  9 -> 28 [size =\"41122816\"]\n  9 -> 30 [size =\"41122816\"]\n  10 [size=\"103959040\", alpha=\"0.05\", expect_size=\"41583616\"] \n  10 -> 23 [size =\"41583616\"]\n  10 -> 23 [size =\"41583616\"]\n  10 -> 26 [size =\"41583616\"]\n  10 -> 28 [size =\"41583616\"]\n  11 [size=\"122434560\", alpha=\"0.03\", expect_size=\"48973824\"] \n  11 -> 23 [size =\"48973824\"]\n  11 -> 28 [size =\"48973824\"]\n  11 -> 29 [size =\"48973824\"]\n  12 [size=\"87856640\", alpha=\"0.19\", expect_size=\"35142656\"] \n  12 -> 23 [size =\"35142656\"]\n  12 -> 25 [size =\"35142656\"]\n  12 -> 28 [size =\"35142656\"]\n  12 -> 30 [size =\"35142656\"]\n  13 [size=\"45058560\", alpha=\"0.07\", expect_size=\"18023424\"] \n  13 -> 20 [size =\"18023424\"]\n  13 -> 23 [size =\"18023424\"]\n  13 -> 25 [size =\"18023424\"]\n  13 -> 26 [size =\"18023424\"]\n  13 -> 27 [size =\"18023424\"]\n  13 -> 28 [size =\"18023424\"]\n  13 -> 29 [size =\"18023424\"]\n  13 -> 30 [size =\"18023424\"]\n  14 [size=\"55449600\", alpha=\"0.16\", expect_size=\"22179840\"] \n  14 -> 27 [size =\"22179840\"]\n  14 -> 29 [size =\"22179840\"]\n  15 [size=\"106483200\", alpha=\"0.16\", expect_size=\"42593280\"] \n  15 -> 24 [size =\"42593280\"]\n  15 -> 26 [size =\"42593280\"]\n  15 -> 27 [size =\"42593280\"]\n  15 -> 29 [size =\"42593280\"]\n  16 [size=\"107799040\", alpha=\"0.12\", expect_size=\"43119616\"] \n  16 -> 19 [size =\"43119616\"]\n  16 -> 21 [size =\"43119616\"]\n  16 -> 28 [size =\"43119616\"]\n  17 [size=\"41315840\", alpha=\"0.15\", expect_size=\"16526336\"] \n  17 -> 22 [size =\"16526336\"]\n  18 [size=\"130716160\", alpha=\"0.20\", expect_size=\"52286464\"] \n  19 [size=\"34170880\", alpha=\"0.08\", expect_size=\"13668352\"] \n  20 [size=\"36902400\", alpha=\"0.02\", expect_size=\"14760960\"] \n  21 [size=\"65559040\", alpha=\"0.18\", expect_size=\"26223616\"] \n  22 [size=\"86184960\", alpha=\"0.05\", expect_size=\"34473984\"] \n  23 [size=\"82880000\", alpha=\"0.18\", expect_size=\"33152000\"] \n  24 [size=\"125847040\", alpha=\"0.06\", expect_size=\"50338816\"] \n  25 [size=\"101335040\", alpha=\"0.04\", expect_size=\"40534016\"] \n  26 [size=\"77557760\", alpha=\"0.16\", expect_size=\"31023104\"] \n  27 [size=\"27911680\", alpha=\"0.11\", expect_size=\"11164672\"] \n  28 [size=\"116011520\", alpha=\"0.07\", expect_size=\"46404608\"] \n  29 [size=\"115248640\", alpha=\"0.18\", expect_size=\"46099456\"] \n  30 [size=\"44321280\", alpha=\"0.04\", expect_size=\"17728512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80594944\", alpha=\"0.11\", expect_size=\"40297472\"] \n  1 -> 20 [size =\"40297472\"]\n  1 -> 25 [size =\"40297472\"]\n  1 -> 28 [size =\"40297472\"]\n  1 -> 29 [size =\"40297472\"]\n  2 [size=\"73918464\", alpha=\"0.03\", expect_size=\"36959232\"] \n  2 -> 22 [size =\"36959232\"]\n  2 -> 29 [size =\"36959232\"]\n  3 [size=\"26087424\", alpha=\"0.11\", expect_size=\"13043712\"] \n  3 -> 22 [size =\"13043712\"]\n  3 -> 23 [size =\"13043712\"]\n  3 -> 28 [size =\"13043712\"]\n  4 [size=\"87633920\", alpha=\"0.08\", expect_size=\"43816960\"] \n  4 -> 20 [size =\"43816960\"]\n  4 -> 29 [size =\"43816960\"]\n  4 -> 30 [size =\"43816960\"]\n  5 [size=\"63262720\", alpha=\"0.19\", expect_size=\"31631360\"] \n  5 -> 22 [size =\"31631360\"]\n  5 -> 29 [size =\"31631360\"]\n  6 [size=\"13404160\", alpha=\"0.09\", expect_size=\"6702080\"] \n  6 -> 22 [size =\"6702080\"]\n  6 -> 25 [size =\"6702080\"]\n  7 [size=\"24061952\", alpha=\"0.07\", expect_size=\"12030976\"] \n  7 -> 26 [size =\"12030976\"]\n  7 -> 28 [size =\"12030976\"]\n  8 [size=\"55660544\", alpha=\"0.14\", expect_size=\"27830272\"] \n  8 -> 21 [size =\"27830272\"]\n  8 -> 28 [size =\"27830272\"]\n  8 -> 29 [size =\"27830272\"]\n  9 [size=\"24905728\", alpha=\"0.17\", expect_size=\"12452864\"] \n  9 -> 22 [size =\"12452864\"]\n  9 -> 29 [size =\"12452864\"]\n  10 [size=\"65339392\", alpha=\"0.19\", expect_size=\"32669696\"] \n  10 -> 20 [size =\"32669696\"]\n  10 -> 21 [size =\"32669696\"]\n  10 -> 23 [size =\"32669696\"]\n  11 [size=\"52838400\", alpha=\"0.03\", expect_size=\"26419200\"] \n  11 -> 20 [size =\"26419200\"]\n  11 -> 29 [size =\"26419200\"]\n  12 [size=\"10866688\", alpha=\"0.03\", expect_size=\"5433344\"] \n  12 -> 20 [size =\"5433344\"]\n  12 -> 23 [size =\"5433344\"]\n  12 -> 25 [size =\"5433344\"]\n  12 -> 26 [size =\"5433344\"]\n  13 [size=\"26097664\", alpha=\"0.14\", expect_size=\"13048832\"] \n  13 -> 21 [size =\"13048832\"]\n  13 -> 25 [size =\"13048832\"]\n  14 [size=\"77924352\", alpha=\"0.03\", expect_size=\"38962176\"] \n  14 -> 20 [size =\"38962176\"]\n  14 -> 23 [size =\"38962176\"]\n  14 -> 25 [size =\"38962176\"]\n  14 -> 28 [size =\"38962176\"]\n  14 -> 30 [size =\"38962176\"]\n  15 [size=\"22892544\", alpha=\"0.15\", expect_size=\"11446272\"] \n  15 -> 29 [size =\"11446272\"]\n  15 -> 30 [size =\"11446272\"]\n  16 [size=\"16494592\", alpha=\"0.19\", expect_size=\"8247296\"] \n  16 -> 22 [size =\"8247296\"]\n  16 -> 26 [size =\"8247296\"]\n  16 -> 28 [size =\"8247296\"]\n  16 -> 29 [size =\"8247296\"]\n  16 -> 30 [size =\"8247296\"]\n  17 [size=\"58646528\", alpha=\"0.07\", expect_size=\"29323264\"] \n  17 -> 20 [size =\"29323264\"]\n  17 -> 21 [size =\"29323264\"]\n  17 -> 22 [size =\"29323264\"]\n  17 -> 23 [size =\"29323264\"]\n  17 -> 26 [size =\"29323264\"]\n  17 -> 29 [size =\"29323264\"]\n  18 [size=\"93685760\", alpha=\"0.15\", expect_size=\"46842880\"] \n  18 -> 20 [size =\"46842880\"]\n  18 -> 22 [size =\"46842880\"]\n  18 -> 22 [size =\"46842880\"]\n  18 -> 24 [size =\"46842880\"]\n  18 -> 26 [size =\"46842880\"]\n  19 [size=\"65017856\", alpha=\"0.10\", expect_size=\"32508928\"] \n  19 -> 20 [size =\"32508928\"]\n  19 -> 27 [size =\"32508928\"]\n  19 -> 29 [size =\"32508928\"]\n  20 [size=\"52336640\", alpha=\"0.11\", expect_size=\"26168320\"] \n  21 [size=\"46479360\", alpha=\"0.06\", expect_size=\"23239680\"] \n  22 [size=\"60610560\", alpha=\"0.15\", expect_size=\"30305280\"] \n  23 [size=\"76650496\", alpha=\"0.08\", expect_size=\"38325248\"] \n  24 [size=\"48566272\", alpha=\"0.16\", expect_size=\"24283136\"] \n  25 [size=\"63635456\", alpha=\"0.16\", expect_size=\"31817728\"] \n  26 [size=\"41261056\", alpha=\"0.17\", expect_size=\"20630528\"] \n  27 [size=\"37412864\", alpha=\"0.20\", expect_size=\"18706432\"] \n  28 [size=\"68843520\", alpha=\"0.13\", expect_size=\"34421760\"] \n  29 [size=\"44298240\", alpha=\"0.09\", expect_size=\"22149120\"] \n  30 [size=\"91584512\", alpha=\"0.16\", expect_size=\"45792256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33036288\", alpha=\"0.15\", expect_size=\"16518144\"] \n  1 -> 5 [size =\"16518144\"]\n  2 [size=\"76328960\", alpha=\"0.13\", expect_size=\"38164480\"] \n  2 -> 4 [size =\"38164480\"]\n  3 [size=\"81725440\", alpha=\"0.11\", expect_size=\"40862720\"] \n  3 -> 4 [size =\"40862720\"]\n  3 -> 5 [size =\"40862720\"]\n  3 -> 6 [size =\"40862720\"]\n  4 [size=\"59213824\", alpha=\"0.01\", expect_size=\"29606912\"] \n  4 -> 10 [size =\"29606912\"]\n  4 -> 12 [size =\"29606912\"]\n  5 [size=\"64780288\", alpha=\"0.06\", expect_size=\"32390144\"] \n  5 -> 7 [size =\"32390144\"]\n  5 -> 8 [size =\"32390144\"]\n  5 -> 11 [size =\"32390144\"]\n  6 [size=\"102342656\", alpha=\"0.04\", expect_size=\"51171328\"] \n  6 -> 7 [size =\"51171328\"]\n  6 -> 9 [size =\"51171328\"]\n  6 -> 11 [size =\"51171328\"]\n  7 [size=\"44011520\", alpha=\"0.01\", expect_size=\"22005760\"] \n  7 -> 14 [size =\"22005760\"]\n  8 [size=\"70805504\", alpha=\"0.04\", expect_size=\"35402752\"] \n  9 [size=\"34265088\", alpha=\"0.08\", expect_size=\"17132544\"] \n  9 -> 18 [size =\"17132544\"]\n  10 [size=\"19644416\", alpha=\"0.06\", expect_size=\"9822208\"] \n  10 -> 14 [size =\"9822208\"]\n  11 [size=\"77228032\", alpha=\"0.01\", expect_size=\"38614016\"] \n  11 -> 13 [size =\"38614016\"]\n  11 -> 16 [size =\"38614016\"]\n  12 [size=\"55719936\", alpha=\"0.13\", expect_size=\"27859968\"] \n  12 -> 15 [size =\"27859968\"]\n  12 -> 17 [size =\"27859968\"]\n  13 [size=\"21407744\", alpha=\"0.03\", expect_size=\"10703872\"] \n  13 -> 19 [size =\"10703872\"]\n  13 -> 25 [size =\"10703872\"]\n  14 [size=\"72071168\", alpha=\"0.09\", expect_size=\"36035584\"] \n  14 -> 23 [size =\"36035584\"]\n  14 -> 25 [size =\"36035584\"]\n  15 [size=\"77074432\", alpha=\"0.04\", expect_size=\"38537216\"] \n  15 -> 21 [size =\"38537216\"]\n  15 -> 22 [size =\"38537216\"]\n  16 [size=\"103610368\", alpha=\"0.19\", expect_size=\"51805184\"] \n  16 -> 19 [size =\"51805184\"]\n  16 -> 23 [size =\"51805184\"]\n  17 [size=\"29284352\", alpha=\"0.12\", expect_size=\"14642176\"] \n  17 -> 19 [size =\"14642176\"]\n  17 -> 20 [size =\"14642176\"]\n  17 -> 21 [size =\"14642176\"]\n  18 [size=\"35190784\", alpha=\"0.13\", expect_size=\"17595392\"] \n  18 -> 21 [size =\"17595392\"]\n  18 -> 23 [size =\"17595392\"]\n  18 -> 24 [size =\"17595392\"]\n  18 -> 25 [size =\"17595392\"]\n  19 [size=\"53848064\", alpha=\"0.20\", expect_size=\"26924032\"] \n  20 [size=\"90624000\", alpha=\"0.03\", expect_size=\"45312000\"] \n  20 -> 26 [size =\"45312000\"]\n  20 -> 30 [size =\"45312000\"]\n  21 [size=\"25604096\", alpha=\"0.12\", expect_size=\"12802048\"] \n  21 -> 26 [size =\"12802048\"]\n  21 -> 27 [size =\"12802048\"]\n  21 -> 30 [size =\"12802048\"]\n  22 [size=\"31281152\", alpha=\"0.14\", expect_size=\"15640576\"] \n  22 -> 27 [size =\"15640576\"]\n  23 [size=\"90306560\", alpha=\"0.11\", expect_size=\"45153280\"] \n  23 -> 28 [size =\"45153280\"]\n  23 -> 29 [size =\"45153280\"]\n  24 [size=\"103763968\", alpha=\"0.19\", expect_size=\"51881984\"] \n  24 -> 26 [size =\"51881984\"]\n  24 -> 27 [size =\"51881984\"]\n  24 -> 29 [size =\"51881984\"]\n  25 [size=\"50356224\", alpha=\"0.18\", expect_size=\"25178112\"] \n  25 -> 27 [size =\"25178112\"]\n  25 -> 29 [size =\"25178112\"]\n  26 [size=\"69197824\", alpha=\"0.17\", expect_size=\"34598912\"] \n  27 [size=\"66441216\", alpha=\"0.03\", expect_size=\"33220608\"] \n  28 [size=\"30441472\", alpha=\"0.01\", expect_size=\"15220736\"] \n  29 [size=\"92772352\", alpha=\"0.05\", expect_size=\"46386176\"] \n  30 [size=\"91768832\", alpha=\"0.11\", expect_size=\"45884416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53483520\", alpha=\"0.17\", expect_size=\"21393408\"] \n  1 -> 7 [size =\"21393408\"]\n  2 [size=\"23485440\", alpha=\"0.11\", expect_size=\"9394176\"] \n  2 -> 7 [size =\"9394176\"]\n  2 -> 8 [size =\"9394176\"]\n  3 [size=\"27865600\", alpha=\"0.09\", expect_size=\"11146240\"] \n  3 -> 6 [size =\"11146240\"]\n  3 -> 8 [size =\"11146240\"]\n  3 -> 9 [size =\"11146240\"]\n  3 -> 10 [size =\"11146240\"]\n  4 [size=\"31984640\", alpha=\"0.09\", expect_size=\"12793856\"] \n  4 -> 6 [size =\"12793856\"]\n  4 -> 10 [size =\"12793856\"]\n  5 [size=\"24389120\", alpha=\"0.02\", expect_size=\"9755648\"] \n  5 -> 6 [size =\"9755648\"]\n  5 -> 10 [size =\"9755648\"]\n  6 [size=\"93844480\", alpha=\"0.16\", expect_size=\"37537792\"] \n  6 -> 14 [size =\"37537792\"]\n  6 -> 15 [size =\"37537792\"]\n  6 -> 16 [size =\"37537792\"]\n  7 [size=\"85716480\", alpha=\"0.01\", expect_size=\"34286592\"] \n  7 -> 11 [size =\"34286592\"]\n  7 -> 12 [size =\"34286592\"]\n  7 -> 16 [size =\"34286592\"]\n  8 [size=\"100157440\", alpha=\"0.10\", expect_size=\"40062976\"] \n  8 -> 13 [size =\"40062976\"]\n  9 [size=\"41858560\", alpha=\"0.09\", expect_size=\"16743424\"] \n  9 -> 11 [size =\"16743424\"]\n  9 -> 14 [size =\"16743424\"]\n  10 [size=\"99906560\", alpha=\"0.00\", expect_size=\"39962624\"] \n  10 -> 13 [size =\"39962624\"]\n  10 -> 15 [size =\"39962624\"]\n  11 [size=\"95656960\", alpha=\"0.18\", expect_size=\"38262784\"] \n  11 -> 17 [size =\"38262784\"]\n  11 -> 18 [size =\"38262784\"]\n  12 [size=\"80396800\", alpha=\"0.17\", expect_size=\"32158720\"] \n  12 -> 18 [size =\"32158720\"]\n  13 [size=\"28702720\", alpha=\"0.08\", expect_size=\"11481088\"] \n  13 -> 17 [size =\"11481088\"]\n  13 -> 19 [size =\"11481088\"]\n  13 -> 20 [size =\"11481088\"]\n  14 [size=\"80696320\", alpha=\"0.09\", expect_size=\"32278528\"] \n  14 -> 20 [size =\"32278528\"]\n  15 [size=\"17940480\", alpha=\"0.08\", expect_size=\"7176192\"] \n  15 -> 20 [size =\"7176192\"]\n  16 [size=\"28480000\", alpha=\"0.07\", expect_size=\"11392000\"] \n  16 -> 18 [size =\"11392000\"]\n  17 [size=\"125624320\", alpha=\"0.07\", expect_size=\"50249728\"] \n  18 [size=\"130462720\", alpha=\"0.04\", expect_size=\"52185088\"] \n  18 -> 21 [size =\"52185088\"]\n  19 [size=\"71119360\", alpha=\"0.11\", expect_size=\"28447744\"] \n  19 -> 22 [size =\"28447744\"]\n  19 -> 23 [size =\"28447744\"]\n  20 [size=\"124175360\", alpha=\"0.04\", expect_size=\"49670144\"] \n  20 -> 23 [size =\"49670144\"]\n  20 -> 24 [size =\"49670144\"]\n  21 [size=\"124702720\", alpha=\"0.04\", expect_size=\"49881088\"] \n  21 -> 27 [size =\"49881088\"]\n  22 [size=\"111843840\", alpha=\"0.05\", expect_size=\"44737536\"] \n  22 -> 26 [size =\"44737536\"]\n  22 -> 29 [size =\"44737536\"]\n  23 [size=\"94778880\", alpha=\"0.10\", expect_size=\"37911552\"] \n  23 -> 25 [size =\"37911552\"]\n  23 -> 28 [size =\"37911552\"]\n  23 -> 29 [size =\"37911552\"]\n  24 [size=\"21672960\", alpha=\"0.17\", expect_size=\"8669184\"] \n  24 -> 25 [size =\"8669184\"]\n  24 -> 28 [size =\"8669184\"]\n  25 [size=\"76840960\", alpha=\"0.06\", expect_size=\"30736384\"] \n  26 [size=\"124085760\", alpha=\"0.09\", expect_size=\"49634304\"] \n  26 -> 30 [size =\"49634304\"]\n  27 [size=\"48993280\", alpha=\"0.04\", expect_size=\"19597312\"] \n  28 [size=\"90913280\", alpha=\"0.14\", expect_size=\"36365312\"] \n  29 [size=\"113612800\", alpha=\"0.09\", expect_size=\"45445120\"] \n  30 [size=\"60508160\", alpha=\"0.18\", expect_size=\"24203264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78868480\", alpha=\"0.02\", expect_size=\"39434240\"] \n  1 -> 9 [size =\"39434240\"]\n  2 [size=\"68358144\", alpha=\"0.05\", expect_size=\"34179072\"] \n  2 -> 6 [size =\"34179072\"]\n  2 -> 7 [size =\"34179072\"]\n  3 [size=\"36612096\", alpha=\"0.06\", expect_size=\"18306048\"] \n  3 -> 7 [size =\"18306048\"]\n  3 -> 9 [size =\"18306048\"]\n  4 [size=\"76623872\", alpha=\"0.11\", expect_size=\"38311936\"] \n  4 -> 6 [size =\"38311936\"]\n  4 -> 8 [size =\"38311936\"]\n  4 -> 10 [size =\"38311936\"]\n  5 [size=\"64917504\", alpha=\"0.10\", expect_size=\"32458752\"] \n  5 -> 8 [size =\"32458752\"]\n  5 -> 8 [size =\"32458752\"]\n  5 -> 9 [size =\"32458752\"]\n  5 -> 10 [size =\"32458752\"]\n  6 [size=\"84860928\", alpha=\"0.10\", expect_size=\"42430464\"] \n  6 -> 11 [size =\"42430464\"]\n  6 -> 15 [size =\"42430464\"]\n  7 [size=\"15052800\", alpha=\"0.13\", expect_size=\"7526400\"] \n  7 -> 13 [size =\"7526400\"]\n  7 -> 14 [size =\"7526400\"]\n  8 [size=\"58638336\", alpha=\"0.07\", expect_size=\"29319168\"] \n  8 -> 13 [size =\"29319168\"]\n  8 -> 14 [size =\"29319168\"]\n  9 [size=\"19070976\", alpha=\"0.04\", expect_size=\"9535488\"] \n  9 -> 11 [size =\"9535488\"]\n  9 -> 12 [size =\"9535488\"]\n  9 -> 13 [size =\"9535488\"]\n  9 -> 14 [size =\"9535488\"]\n  10 [size=\"14571520\", alpha=\"0.19\", expect_size=\"7285760\"] \n  10 -> 11 [size =\"7285760\"]\n  10 -> 12 [size =\"7285760\"]\n  11 [size=\"66205696\", alpha=\"0.05\", expect_size=\"33102848\"] \n  11 -> 17 [size =\"33102848\"]\n  11 -> 18 [size =\"33102848\"]\n  11 -> 20 [size =\"33102848\"]\n  12 [size=\"78000128\", alpha=\"0.14\", expect_size=\"39000064\"] \n  12 -> 18 [size =\"39000064\"]\n  12 -> 20 [size =\"39000064\"]\n  13 [size=\"103129088\", alpha=\"0.14\", expect_size=\"51564544\"] \n  13 -> 17 [size =\"51564544\"]\n  13 -> 19 [size =\"51564544\"]\n  14 [size=\"39008256\", alpha=\"0.01\", expect_size=\"19504128\"] \n  14 -> 16 [size =\"19504128\"]\n  14 -> 17 [size =\"19504128\"]\n  14 -> 19 [size =\"19504128\"]\n  14 -> 20 [size =\"19504128\"]\n  15 [size=\"90818560\", alpha=\"0.14\", expect_size=\"45409280\"] \n  15 -> 18 [size =\"45409280\"]\n  15 -> 19 [size =\"45409280\"]\n  16 [size=\"43993088\", alpha=\"0.05\", expect_size=\"21996544\"] \n  16 -> 21 [size =\"21996544\"]\n  16 -> 24 [size =\"21996544\"]\n  17 [size=\"92547072\", alpha=\"0.18\", expect_size=\"46273536\"] \n  18 [size=\"57638912\", alpha=\"0.03\", expect_size=\"28819456\"] \n  18 -> 23 [size =\"28819456\"]\n  18 -> 24 [size =\"28819456\"]\n  19 [size=\"90468352\", alpha=\"0.04\", expect_size=\"45234176\"] \n  19 -> 22 [size =\"45234176\"]\n  19 -> 23 [size =\"45234176\"]\n  19 -> 24 [size =\"45234176\"]\n  20 [size=\"15790080\", alpha=\"0.06\", expect_size=\"7895040\"] \n  21 [size=\"103149568\", alpha=\"0.03\", expect_size=\"51574784\"] \n  21 -> 25 [size =\"51574784\"]\n  21 -> 26 [size =\"51574784\"]\n  21 -> 28 [size =\"51574784\"]\n  22 [size=\"30322688\", alpha=\"0.12\", expect_size=\"15161344\"] \n  22 -> 29 [size =\"15161344\"]\n  23 [size=\"94261248\", alpha=\"0.07\", expect_size=\"47130624\"] \n  23 -> 25 [size =\"47130624\"]\n  23 -> 26 [size =\"47130624\"]\n  23 -> 27 [size =\"47130624\"]\n  23 -> 28 [size =\"47130624\"]\n  24 [size=\"63686656\", alpha=\"0.16\", expect_size=\"31843328\"] \n  25 [size=\"68804608\", alpha=\"0.16\", expect_size=\"34402304\"] \n  25 -> 30 [size =\"34402304\"]\n  26 [size=\"40624128\", alpha=\"0.12\", expect_size=\"20312064\"] \n  27 [size=\"66465792\", alpha=\"0.09\", expect_size=\"33232896\"] \n  28 [size=\"56074240\", alpha=\"0.16\", expect_size=\"28037120\"] \n  29 [size=\"71329792\", alpha=\"0.05\", expect_size=\"35664896\"] \n  29 -> 30 [size =\"35664896\"]\n  30 [size=\"89358336\", alpha=\"0.15\", expect_size=\"44679168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160628053\", alpha=\"0.08\", expect_size=\"48188416\"] \n  1 -> 3 [size =\"48188416\"]\n  2 [size=\"142708053\", alpha=\"0.04\", expect_size=\"42812416\"] \n  2 -> 3 [size =\"42812416\"]\n  3 [size=\"67843413\", alpha=\"0.10\", expect_size=\"20353024\"] \n  3 -> 4 [size =\"20353024\"]\n  3 -> 5 [size =\"20353024\"]\n  4 [size=\"24166400\", alpha=\"0.14\", expect_size=\"7249920\"] \n  4 -> 6 [size =\"7249920\"]\n  5 [size=\"81660587\", alpha=\"0.10\", expect_size=\"24498176\"] \n  5 -> 7 [size =\"24498176\"]\n  6 [size=\"95133013\", alpha=\"0.02\", expect_size=\"28539904\"] \n  6 -> 8 [size =\"28539904\"]\n  6 -> 9 [size =\"28539904\"]\n  7 [size=\"89159680\", alpha=\"0.17\", expect_size=\"26747904\"] \n  7 -> 9 [size =\"26747904\"]\n  8 [size=\"60398933\", alpha=\"0.13\", expect_size=\"18119680\"] \n  8 -> 10 [size =\"18119680\"]\n  8 -> 11 [size =\"18119680\"]\n  9 [size=\"81626453\", alpha=\"0.14\", expect_size=\"24487936\"] \n  9 -> 11 [size =\"24487936\"]\n  10 [size=\"63303680\", alpha=\"0.09\", expect_size=\"18991104\"] \n  10 -> 12 [size =\"18991104\"]\n  10 -> 13 [size =\"18991104\"]\n  11 [size=\"73912320\", alpha=\"0.08\", expect_size=\"22173696\"] \n  12 [size=\"137478827\", alpha=\"0.00\", expect_size=\"41243648\"] \n  12 -> 14 [size =\"41243648\"]\n  12 -> 15 [size =\"41243648\"]\n  13 [size=\"168570880\", alpha=\"0.20\", expect_size=\"50571264\"] \n  14 [size=\"91678720\", alpha=\"0.10\", expect_size=\"27503616\"] \n  15 [size=\"44421120\", alpha=\"0.12\", expect_size=\"13326336\"] \n  15 -> 16 [size =\"13326336\"]\n  15 -> 17 [size =\"13326336\"]\n  16 [size=\"122586453\", alpha=\"0.13\", expect_size=\"36775936\"] \n  16 -> 19 [size =\"36775936\"]\n  17 [size=\"136642560\", alpha=\"0.07\", expect_size=\"40992768\"] \n  17 -> 18 [size =\"40992768\"]\n  17 -> 19 [size =\"40992768\"]\n  18 [size=\"114346667\", alpha=\"0.19\", expect_size=\"34304000\"] \n  19 [size=\"59634347\", alpha=\"0.07\", expect_size=\"17890304\"] \n  19 -> 20 [size =\"17890304\"]\n  20 [size=\"172953600\", alpha=\"0.15\", expect_size=\"51886080\"] \n  20 -> 21 [size =\"51886080\"]\n  20 -> 22 [size =\"51886080\"]\n  21 [size=\"87961600\", alpha=\"0.00\", expect_size=\"26388480\"] \n  22 [size=\"149995520\", alpha=\"0.02\", expect_size=\"44998656\"] \n  22 -> 23 [size =\"44998656\"]\n  23 [size=\"150947840\", alpha=\"0.10\", expect_size=\"45284352\"] \n  23 -> 24 [size =\"45284352\"]\n  23 -> 25 [size =\"45284352\"]\n  24 [size=\"147684693\", alpha=\"0.19\", expect_size=\"44305408\"] \n  24 -> 26 [size =\"44305408\"]\n  24 -> 27 [size =\"44305408\"]\n  25 [size=\"69061973\", alpha=\"0.16\", expect_size=\"20718592\"] \n  25 -> 26 [size =\"20718592\"]\n  25 -> 27 [size =\"20718592\"]\n  26 [size=\"160320853\", alpha=\"0.03\", expect_size=\"48096256\"] \n  26 -> 28 [size =\"48096256\"]\n  26 -> 29 [size =\"48096256\"]\n  27 [size=\"101649067\", alpha=\"0.20\", expect_size=\"30494720\"] \n  28 [size=\"154077867\", alpha=\"0.01\", expect_size=\"46223360\"] \n  28 -> 30 [size =\"46223360\"]\n  29 [size=\"146937173\", alpha=\"0.11\", expect_size=\"44081152\"] \n  29 -> 30 [size =\"44081152\"]\n  30 [size=\"44820480\", alpha=\"0.07\", expect_size=\"13446144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21829120\", alpha=\"0.07\", expect_size=\"8731648\"] \n  1 -> 24 [size =\"8731648\"]\n  1 -> 26 [size =\"8731648\"]\n  1 -> 27 [size =\"8731648\"]\n  1 -> 29 [size =\"8731648\"]\n  1 -> 30 [size =\"8731648\"]\n  2 [size=\"25333760\", alpha=\"0.08\", expect_size=\"10133504\"] \n  2 -> 24 [size =\"10133504\"]\n  3 [size=\"75491840\", alpha=\"0.13\", expect_size=\"30196736\"] \n  3 -> 24 [size =\"30196736\"]\n  3 -> 25 [size =\"30196736\"]\n  3 -> 30 [size =\"30196736\"]\n  4 [size=\"84154880\", alpha=\"0.20\", expect_size=\"33661952\"] \n  4 -> 25 [size =\"33661952\"]\n  4 -> 28 [size =\"33661952\"]\n  5 [size=\"68764160\", alpha=\"0.19\", expect_size=\"27505664\"] \n  5 -> 25 [size =\"27505664\"]\n  5 -> 30 [size =\"27505664\"]\n  6 [size=\"65479680\", alpha=\"0.05\", expect_size=\"26191872\"] \n  6 -> 25 [size =\"26191872\"]\n  6 -> 27 [size =\"26191872\"]\n  6 -> 28 [size =\"26191872\"]\n  7 [size=\"124856320\", alpha=\"0.12\", expect_size=\"49942528\"] \n  7 -> 22 [size =\"49942528\"]\n  7 -> 24 [size =\"49942528\"]\n  7 -> 28 [size =\"49942528\"]\n  8 [size=\"80360960\", alpha=\"0.10\", expect_size=\"32144384\"] \n  8 -> 23 [size =\"32144384\"]\n  8 -> 27 [size =\"32144384\"]\n  8 -> 29 [size =\"32144384\"]\n  8 -> 30 [size =\"32144384\"]\n  9 [size=\"68689920\", alpha=\"0.18\", expect_size=\"27475968\"] \n  9 -> 24 [size =\"27475968\"]\n  9 -> 25 [size =\"27475968\"]\n  9 -> 26 [size =\"27475968\"]\n  9 -> 27 [size =\"27475968\"]\n  10 [size=\"18600960\", alpha=\"0.08\", expect_size=\"7440384\"] \n  10 -> 30 [size =\"7440384\"]\n  11 [size=\"67409920\", alpha=\"0.03\", expect_size=\"26963968\"] \n  12 [size=\"106613760\", alpha=\"0.03\", expect_size=\"42645504\"] \n  12 -> 22 [size =\"42645504\"]\n  12 -> 23 [size =\"42645504\"]\n  12 -> 27 [size =\"42645504\"]\n  12 -> 29 [size =\"42645504\"]\n  13 [size=\"36992000\", alpha=\"0.12\", expect_size=\"14796800\"] \n  13 -> 22 [size =\"14796800\"]\n  13 -> 24 [size =\"14796800\"]\n  13 -> 27 [size =\"14796800\"]\n  14 [size=\"114483200\", alpha=\"0.09\", expect_size=\"45793280\"] \n  14 -> 27 [size =\"45793280\"]\n  15 [size=\"113364480\", alpha=\"0.13\", expect_size=\"45345792\"] \n  16 [size=\"105656320\", alpha=\"0.09\", expect_size=\"42262528\"] \n  16 -> 22 [size =\"42262528\"]\n  16 -> 28 [size =\"42262528\"]\n  17 [size=\"15109120\", alpha=\"0.04\", expect_size=\"6043648\"] \n  17 -> 22 [size =\"6043648\"]\n  18 [size=\"86906880\", alpha=\"0.12\", expect_size=\"34762752\"] \n  18 -> 22 [size =\"34762752\"]\n  18 -> 24 [size =\"34762752\"]\n  18 -> 25 [size =\"34762752\"]\n  18 -> 28 [size =\"34762752\"]\n  19 [size=\"25082880\", alpha=\"0.11\", expect_size=\"10033152\"] \n  19 -> 22 [size =\"10033152\"]\n  19 -> 27 [size =\"10033152\"]\n  20 [size=\"130273280\", alpha=\"0.17\", expect_size=\"52109312\"] \n  20 -> 22 [size =\"52109312\"]\n  20 -> 24 [size =\"52109312\"]\n  20 -> 25 [size =\"52109312\"]\n  20 -> 28 [size =\"52109312\"]\n  20 -> 30 [size =\"52109312\"]\n  21 [size=\"60316160\", alpha=\"0.05\", expect_size=\"24126464\"] \n  21 -> 24 [size =\"24126464\"]\n  21 -> 26 [size =\"24126464\"]\n  21 -> 28 [size =\"24126464\"]\n  21 -> 30 [size =\"24126464\"]\n  21 -> 30 [size =\"24126464\"]\n  22 [size=\"76933120\", alpha=\"0.15\", expect_size=\"30773248\"] \n  23 [size=\"92661760\", alpha=\"0.16\", expect_size=\"37064704\"] \n  24 [size=\"45291520\", alpha=\"0.08\", expect_size=\"18116608\"] \n  25 [size=\"100938240\", alpha=\"0.10\", expect_size=\"40375296\"] \n  26 [size=\"57640960\", alpha=\"0.01\", expect_size=\"23056384\"] \n  27 [size=\"111644160\", alpha=\"0.11\", expect_size=\"44657664\"] \n  28 [size=\"15201280\", alpha=\"0.12\", expect_size=\"6080512\"] \n  29 [size=\"88396800\", alpha=\"0.03\", expect_size=\"35358720\"] \n  30 [size=\"34058240\", alpha=\"0.15\", expect_size=\"13623296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115901440\", alpha=\"0.01\", expect_size=\"46360576\"] \n  1 -> 14 [size =\"46360576\"]\n  1 -> 15 [size =\"46360576\"]\n  1 -> 16 [size =\"46360576\"]\n  1 -> 17 [size =\"46360576\"]\n  1 -> 19 [size =\"46360576\"]\n  2 [size=\"38041600\", alpha=\"0.13\", expect_size=\"15216640\"] \n  2 -> 15 [size =\"15216640\"]\n  2 -> 15 [size =\"15216640\"]\n  3 [size=\"87508480\", alpha=\"0.08\", expect_size=\"35003392\"] \n  4 [size=\"33331200\", alpha=\"0.09\", expect_size=\"13332480\"] \n  4 -> 20 [size =\"13332480\"]\n  5 [size=\"80957440\", alpha=\"0.09\", expect_size=\"32382976\"] \n  5 -> 18 [size =\"32382976\"]\n  6 [size=\"37268480\", alpha=\"0.02\", expect_size=\"14907392\"] \n  6 -> 12 [size =\"14907392\"]\n  6 -> 13 [size =\"14907392\"]\n  6 -> 16 [size =\"14907392\"]\n  7 [size=\"51479040\", alpha=\"0.06\", expect_size=\"20591616\"] \n  7 -> 15 [size =\"20591616\"]\n  7 -> 19 [size =\"20591616\"]\n  8 [size=\"117813760\", alpha=\"0.17\", expect_size=\"47125504\"] \n  8 -> 17 [size =\"47125504\"]\n  8 -> 18 [size =\"47125504\"]\n  8 -> 20 [size =\"47125504\"]\n  9 [size=\"48258560\", alpha=\"0.03\", expect_size=\"19303424\"] \n  9 -> 12 [size =\"19303424\"]\n  9 -> 13 [size =\"19303424\"]\n  9 -> 15 [size =\"19303424\"]\n  9 -> 17 [size =\"19303424\"]\n  9 -> 20 [size =\"19303424\"]\n  10 [size=\"76577280\", alpha=\"0.18\", expect_size=\"30630912\"] \n  10 -> 11 [size =\"30630912\"]\n  10 -> 12 [size =\"30630912\"]\n  10 -> 13 [size =\"30630912\"]\n  10 -> 15 [size =\"30630912\"]\n  10 -> 17 [size =\"30630912\"]\n  11 [size=\"38302720\", alpha=\"0.12\", expect_size=\"15321088\"] \n  11 -> 23 [size =\"15321088\"]\n  11 -> 24 [size =\"15321088\"]\n  11 -> 27 [size =\"15321088\"]\n  11 -> 30 [size =\"15321088\"]\n  12 [size=\"43105280\", alpha=\"0.12\", expect_size=\"17242112\"] \n  12 -> 24 [size =\"17242112\"]\n  12 -> 27 [size =\"17242112\"]\n  13 [size=\"117911040\", alpha=\"0.05\", expect_size=\"47164416\"] \n  13 -> 21 [size =\"47164416\"]\n  13 -> 22 [size =\"47164416\"]\n  13 -> 25 [size =\"47164416\"]\n  14 [size=\"49379840\", alpha=\"0.17\", expect_size=\"19751936\"] \n  14 -> 27 [size =\"19751936\"]\n  14 -> 29 [size =\"19751936\"]\n  15 [size=\"102039040\", alpha=\"0.12\", expect_size=\"40815616\"] \n  15 -> 22 [size =\"40815616\"]\n  15 -> 24 [size =\"40815616\"]\n  15 -> 26 [size =\"40815616\"]\n  15 -> 27 [size =\"40815616\"]\n  15 -> 28 [size =\"40815616\"]\n  16 [size=\"38568960\", alpha=\"0.13\", expect_size=\"15427584\"] \n  16 -> 22 [size =\"15427584\"]\n  16 -> 26 [size =\"15427584\"]\n  16 -> 27 [size =\"15427584\"]\n  16 -> 29 [size =\"15427584\"]\n  17 [size=\"47912960\", alpha=\"0.03\", expect_size=\"19165184\"] \n  17 -> 22 [size =\"19165184\"]\n  17 -> 25 [size =\"19165184\"]\n  18 [size=\"82920960\", alpha=\"0.12\", expect_size=\"33168384\"] \n  18 -> 22 [size =\"33168384\"]\n  18 -> 23 [size =\"33168384\"]\n  18 -> 29 [size =\"33168384\"]\n  19 [size=\"67811840\", alpha=\"0.03\", expect_size=\"27124736\"] \n  19 -> 21 [size =\"27124736\"]\n  19 -> 23 [size =\"27124736\"]\n  19 -> 30 [size =\"27124736\"]\n  20 [size=\"85701120\", alpha=\"0.09\", expect_size=\"34280448\"] \n  20 -> 21 [size =\"34280448\"]\n  20 -> 23 [size =\"34280448\"]\n  20 -> 27 [size =\"34280448\"]\n  20 -> 30 [size =\"34280448\"]\n  21 [size=\"72381440\", alpha=\"0.12\", expect_size=\"28952576\"] \n  22 [size=\"23109120\", alpha=\"0.20\", expect_size=\"9243648\"] \n  23 [size=\"91072000\", alpha=\"0.20\", expect_size=\"36428800\"] \n  24 [size=\"119974400\", alpha=\"0.03\", expect_size=\"47989760\"] \n  25 [size=\"100044800\", alpha=\"0.18\", expect_size=\"40017920\"] \n  26 [size=\"55185920\", alpha=\"0.17\", expect_size=\"22074368\"] \n  27 [size=\"15710720\", alpha=\"0.03\", expect_size=\"6284288\"] \n  28 [size=\"35486720\", alpha=\"0.06\", expect_size=\"14194688\"] \n  29 [size=\"104908800\", alpha=\"0.16\", expect_size=\"41963520\"] \n  30 [size=\"122562560\", alpha=\"0.16\", expect_size=\"49025024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61242880\", alpha=\"0.17\", expect_size=\"24497152\"] \n  2 [size=\"57848320\", alpha=\"0.14\", expect_size=\"23139328\"] \n  2 -> 3 [size =\"23139328\"]\n  3 [size=\"42081280\", alpha=\"0.05\", expect_size=\"16832512\"] \n  3 -> 4 [size =\"16832512\"]\n  3 -> 5 [size =\"16832512\"]\n  4 [size=\"35699200\", alpha=\"0.01\", expect_size=\"14279680\"] \n  5 [size=\"95969280\", alpha=\"0.01\", expect_size=\"38387712\"] \n  5 -> 6 [size =\"38387712\"]\n  5 -> 7 [size =\"38387712\"]\n  6 [size=\"29030400\", alpha=\"0.06\", expect_size=\"11612160\"] \n  6 -> 8 [size =\"11612160\"]\n  7 [size=\"64307200\", alpha=\"0.10\", expect_size=\"25722880\"] \n  7 -> 8 [size =\"25722880\"]\n  8 [size=\"120094720\", alpha=\"0.09\", expect_size=\"48037888\"] \n  8 -> 9 [size =\"48037888\"]\n  8 -> 10 [size =\"48037888\"]\n  9 [size=\"60308480\", alpha=\"0.19\", expect_size=\"24123392\"] \n  10 [size=\"129907200\", alpha=\"0.03\", expect_size=\"51962880\"] \n  10 -> 11 [size =\"51962880\"]\n  11 [size=\"62963200\", alpha=\"0.14\", expect_size=\"25185280\"] \n  11 -> 12 [size =\"25185280\"]\n  12 [size=\"44753920\", alpha=\"0.00\", expect_size=\"17901568\"] \n  12 -> 13 [size =\"17901568\"]\n  13 [size=\"125911040\", alpha=\"0.06\", expect_size=\"50364416\"] \n  13 -> 14 [size =\"50364416\"]\n  14 [size=\"39715840\", alpha=\"0.13\", expect_size=\"15886336\"] \n  14 -> 15 [size =\"15886336\"]\n  14 -> 16 [size =\"15886336\"]\n  15 [size=\"45672960\", alpha=\"0.01\", expect_size=\"18269184\"] \n  15 -> 17 [size =\"18269184\"]\n  16 [size=\"49607680\", alpha=\"0.11\", expect_size=\"19843072\"] \n  17 [size=\"82547200\", alpha=\"0.14\", expect_size=\"33018880\"] \n  17 -> 18 [size =\"33018880\"]\n  18 [size=\"26291200\", alpha=\"0.02\", expect_size=\"10516480\"] \n  18 -> 19 [size =\"10516480\"]\n  19 [size=\"79861760\", alpha=\"0.02\", expect_size=\"31944704\"] \n  19 -> 20 [size =\"31944704\"]\n  19 -> 21 [size =\"31944704\"]\n  20 [size=\"73536000\", alpha=\"0.10\", expect_size=\"29414400\"] \n  21 [size=\"93890560\", alpha=\"0.06\", expect_size=\"37556224\"] \n  21 -> 22 [size =\"37556224\"]\n  22 [size=\"60193280\", alpha=\"0.10\", expect_size=\"24077312\"] \n  22 -> 23 [size =\"24077312\"]\n  22 -> 24 [size =\"24077312\"]\n  23 [size=\"61265920\", alpha=\"0.19\", expect_size=\"24506368\"] \n  24 [size=\"95756800\", alpha=\"0.11\", expect_size=\"38302720\"] \n  24 -> 25 [size =\"38302720\"]\n  25 [size=\"53043200\", alpha=\"0.17\", expect_size=\"21217280\"] \n  25 -> 26 [size =\"21217280\"]\n  25 -> 27 [size =\"21217280\"]\n  26 [size=\"58629120\", alpha=\"0.07\", expect_size=\"23451648\"] \n  26 -> 28 [size =\"23451648\"]\n  27 [size=\"122496000\", alpha=\"0.04\", expect_size=\"48998400\"] \n  27 -> 28 [size =\"48998400\"]\n  28 [size=\"89925120\", alpha=\"0.00\", expect_size=\"35970048\"] \n  28 -> 29 [size =\"35970048\"]\n  29 [size=\"101317120\", alpha=\"0.04\", expect_size=\"40526848\"] \n  29 -> 30 [size =\"40526848\"]\n  30 [size=\"115665920\", alpha=\"0.08\", expect_size=\"46266368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44789760\", alpha=\"0.09\", expect_size=\"13436928\"] \n  1 -> 5 [size =\"13436928\"]\n  1 -> 6 [size =\"13436928\"]\n  1 -> 7 [size =\"13436928\"]\n  2 [size=\"49920000\", alpha=\"0.05\", expect_size=\"14976000\"] \n  2 -> 5 [size =\"14976000\"]\n  2 -> 8 [size =\"14976000\"]\n  3 [size=\"142100480\", alpha=\"0.08\", expect_size=\"42630144\"] \n  4 [size=\"19664213\", alpha=\"0.19\", expect_size=\"5899264\"] \n  4 -> 6 [size =\"5899264\"]\n  5 [size=\"126194347\", alpha=\"0.11\", expect_size=\"37858304\"] \n  5 -> 9 [size =\"37858304\"]\n  5 -> 11 [size =\"37858304\"]\n  5 -> 12 [size =\"37858304\"]\n  6 [size=\"66389333\", alpha=\"0.06\", expect_size=\"19916800\"] \n  6 -> 9 [size =\"19916800\"]\n  6 -> 11 [size =\"19916800\"]\n  6 -> 13 [size =\"19916800\"]\n  7 [size=\"70075733\", alpha=\"0.11\", expect_size=\"21022720\"] \n  7 -> 10 [size =\"21022720\"]\n  8 [size=\"84503893\", alpha=\"0.20\", expect_size=\"25351168\"] \n  8 -> 12 [size =\"25351168\"]\n  9 [size=\"109864960\", alpha=\"0.17\", expect_size=\"32959488\"] \n  9 -> 14 [size =\"32959488\"]\n  9 -> 15 [size =\"32959488\"]\n  10 [size=\"133345280\", alpha=\"0.06\", expect_size=\"40003584\"] \n  10 -> 17 [size =\"40003584\"]\n  11 [size=\"157289813\", alpha=\"0.03\", expect_size=\"47186944\"] \n  11 -> 16 [size =\"47186944\"]\n  11 -> 17 [size =\"47186944\"]\n  12 [size=\"73209173\", alpha=\"0.04\", expect_size=\"21962752\"] \n  13 [size=\"115968000\", alpha=\"0.02\", expect_size=\"34790400\"] \n  13 -> 14 [size =\"34790400\"]\n  14 [size=\"22828373\", alpha=\"0.13\", expect_size=\"6848512\"] \n  14 -> 18 [size =\"6848512\"]\n  14 -> 20 [size =\"6848512\"]\n  14 -> 22 [size =\"6848512\"]\n  15 [size=\"18240853\", alpha=\"0.00\", expect_size=\"5472256\"] \n  16 [size=\"102263467\", alpha=\"0.16\", expect_size=\"30679040\"] \n  16 -> 19 [size =\"30679040\"]\n  16 -> 21 [size =\"30679040\"]\n  17 [size=\"148916907\", alpha=\"0.10\", expect_size=\"44675072\"] \n  17 -> 18 [size =\"44675072\"]\n  18 [size=\"81134933\", alpha=\"0.18\", expect_size=\"24340480\"] \n  18 -> 24 [size =\"24340480\"]\n  18 -> 25 [size =\"24340480\"]\n  18 -> 26 [size =\"24340480\"]\n  19 [size=\"79472640\", alpha=\"0.14\", expect_size=\"23841792\"] \n  19 -> 24 [size =\"23841792\"]\n  20 [size=\"59583147\", alpha=\"0.08\", expect_size=\"17874944\"] \n  20 -> 23 [size =\"17874944\"]\n  21 [size=\"106035200\", alpha=\"0.06\", expect_size=\"31810560\"] \n  21 -> 24 [size =\"31810560\"]\n  22 [size=\"129484800\", alpha=\"0.08\", expect_size=\"38845440\"] \n  23 [size=\"163031040\", alpha=\"0.06\", expect_size=\"48909312\"] \n  24 [size=\"25186987\", alpha=\"0.04\", expect_size=\"7556096\"] \n  24 -> 27 [size =\"7556096\"]\n  24 -> 30 [size =\"7556096\"]\n  25 [size=\"125859840\", alpha=\"0.16\", expect_size=\"37757952\"] \n  25 -> 27 [size =\"37757952\"]\n  26 [size=\"126815573\", alpha=\"0.15\", expect_size=\"38044672\"] \n  26 -> 28 [size =\"38044672\"]\n  26 -> 29 [size =\"38044672\"]\n  27 [size=\"92962133\", alpha=\"0.20\", expect_size=\"27888640\"] \n  28 [size=\"170526720\", alpha=\"0.13\", expect_size=\"51158016\"] \n  29 [size=\"154405547\", alpha=\"0.18\", expect_size=\"46321664\"] \n  30 [size=\"105588053\", alpha=\"0.18\", expect_size=\"31676416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38541312\", alpha=\"0.07\", expect_size=\"19270656\"] \n  1 -> 14 [size =\"19270656\"]\n  1 -> 15 [size =\"19270656\"]\n  1 -> 16 [size =\"19270656\"]\n  1 -> 17 [size =\"19270656\"]\n  1 -> 19 [size =\"19270656\"]\n  1 -> 20 [size =\"19270656\"]\n  1 -> 21 [size =\"19270656\"]\n  2 [size=\"93880320\", alpha=\"0.09\", expect_size=\"46940160\"] \n  2 -> 14 [size =\"46940160\"]\n  2 -> 15 [size =\"46940160\"]\n  2 -> 21 [size =\"46940160\"]\n  3 [size=\"71456768\", alpha=\"0.18\", expect_size=\"35728384\"] \n  3 -> 15 [size =\"35728384\"]\n  3 -> 20 [size =\"35728384\"]\n  3 -> 21 [size =\"35728384\"]\n  3 -> 22 [size =\"35728384\"]\n  4 [size=\"18790400\", alpha=\"0.08\", expect_size=\"9395200\"] \n  4 -> 14 [size =\"9395200\"]\n  4 -> 15 [size =\"9395200\"]\n  4 -> 17 [size =\"9395200\"]\n  4 -> 20 [size =\"9395200\"]\n  4 -> 22 [size =\"9395200\"]\n  5 [size=\"42885120\", alpha=\"0.11\", expect_size=\"21442560\"] \n  5 -> 14 [size =\"21442560\"]\n  5 -> 15 [size =\"21442560\"]\n  5 -> 16 [size =\"21442560\"]\n  5 -> 17 [size =\"21442560\"]\n  5 -> 20 [size =\"21442560\"]\n  5 -> 22 [size =\"21442560\"]\n  6 [size=\"46032896\", alpha=\"0.11\", expect_size=\"23016448\"] \n  6 -> 15 [size =\"23016448\"]\n  6 -> 17 [size =\"23016448\"]\n  6 -> 18 [size =\"23016448\"]\n  6 -> 19 [size =\"23016448\"]\n  6 -> 20 [size =\"23016448\"]\n  6 -> 21 [size =\"23016448\"]\n  7 [size=\"26130432\", alpha=\"0.11\", expect_size=\"13065216\"] \n  7 -> 15 [size =\"13065216\"]\n  7 -> 16 [size =\"13065216\"]\n  7 -> 17 [size =\"13065216\"]\n  7 -> 18 [size =\"13065216\"]\n  7 -> 19 [size =\"13065216\"]\n  7 -> 20 [size =\"13065216\"]\n  7 -> 21 [size =\"13065216\"]\n  7 -> 22 [size =\"13065216\"]\n  8 [size=\"37220352\", alpha=\"0.03\", expect_size=\"18610176\"] \n  8 -> 15 [size =\"18610176\"]\n  8 -> 18 [size =\"18610176\"]\n  8 -> 19 [size =\"18610176\"]\n  8 -> 21 [size =\"18610176\"]\n  8 -> 22 [size =\"18610176\"]\n  9 [size=\"104157184\", alpha=\"0.11\", expect_size=\"52078592\"] \n  9 -> 14 [size =\"52078592\"]\n  9 -> 16 [size =\"52078592\"]\n  9 -> 18 [size =\"52078592\"]\n  9 -> 22 [size =\"52078592\"]\n  10 [size=\"82198528\", alpha=\"0.06\", expect_size=\"41099264\"] \n  10 -> 14 [size =\"41099264\"]\n  10 -> 15 [size =\"41099264\"]\n  10 -> 18 [size =\"41099264\"]\n  10 -> 19 [size =\"41099264\"]\n  10 -> 20 [size =\"41099264\"]\n  10 -> 21 [size =\"41099264\"]\n  10 -> 22 [size =\"41099264\"]\n  10 -> 23 [size =\"41099264\"]\n  11 [size=\"34654208\", alpha=\"0.12\", expect_size=\"17327104\"] \n  11 -> 14 [size =\"17327104\"]\n  11 -> 16 [size =\"17327104\"]\n  11 -> 18 [size =\"17327104\"]\n  11 -> 20 [size =\"17327104\"]\n  11 -> 21 [size =\"17327104\"]\n  11 -> 21 [size =\"17327104\"]\n  11 -> 24 [size =\"17327104\"]\n  11 -> 25 [size =\"17327104\"]\n  12 [size=\"69699584\", alpha=\"0.07\", expect_size=\"34849792\"] \n  12 -> 14 [size =\"34849792\"]\n  12 -> 16 [size =\"34849792\"]\n  12 -> 18 [size =\"34849792\"]\n  12 -> 21 [size =\"34849792\"]\n  13 [size=\"20060160\", alpha=\"0.12\", expect_size=\"10030080\"] \n  13 -> 14 [size =\"10030080\"]\n  13 -> 15 [size =\"10030080\"]\n  13 -> 17 [size =\"10030080\"]\n  13 -> 18 [size =\"10030080\"]\n  14 [size=\"10512384\", alpha=\"0.10\", expect_size=\"5256192\"] \n  14 -> 30 [size =\"5256192\"]\n  15 [size=\"48840704\", alpha=\"0.08\", expect_size=\"24420352\"] \n  15 -> 26 [size =\"24420352\"]\n  15 -> 28 [size =\"24420352\"]\n  15 -> 30 [size =\"24420352\"]\n  16 [size=\"101670912\", alpha=\"0.18\", expect_size=\"50835456\"] \n  16 -> 26 [size =\"50835456\"]\n  16 -> 29 [size =\"50835456\"]\n  16 -> 30 [size =\"50835456\"]\n  17 [size=\"57137152\", alpha=\"0.13\", expect_size=\"28568576\"] \n  17 -> 26 [size =\"28568576\"]\n  18 [size=\"13846528\", alpha=\"0.09\", expect_size=\"6923264\"] \n  18 -> 26 [size =\"6923264\"]\n  19 [size=\"28180480\", alpha=\"0.12\", expect_size=\"14090240\"] \n  19 -> 26 [size =\"14090240\"]\n  19 -> 30 [size =\"14090240\"]\n  20 [size=\"81061888\", alpha=\"0.13\", expect_size=\"40530944\"] \n  20 -> 26 [size =\"40530944\"]\n  20 -> 30 [size =\"40530944\"]\n  21 [size=\"13056000\", alpha=\"0.19\", expect_size=\"6528000\"] \n  21 -> 26 [size =\"6528000\"]\n  21 -> 29 [size =\"6528000\"]\n  22 [size=\"68249600\", alpha=\"0.03\", expect_size=\"34124800\"] \n  22 -> 26 [size =\"34124800\"]\n  22 -> 27 [size =\"34124800\"]\n  22 -> 28 [size =\"34124800\"]\n  22 -> 29 [size =\"34124800\"]\n  22 -> 30 [size =\"34124800\"]\n  23 [size=\"101857280\", alpha=\"0.00\", expect_size=\"50928640\"] \n  23 -> 26 [size =\"50928640\"]\n  23 -> 27 [size =\"50928640\"]\n  23 -> 29 [size =\"50928640\"]\n  23 -> 29 [size =\"50928640\"]\n  23 -> 30 [size =\"50928640\"]\n  24 [size=\"63211520\", alpha=\"0.19\", expect_size=\"31605760\"] \n  24 -> 26 [size =\"31605760\"]\n  24 -> 29 [size =\"31605760\"]\n  24 -> 30 [size =\"31605760\"]\n  25 [size=\"15792128\", alpha=\"0.05\", expect_size=\"7896064\"] \n  25 -> 30 [size =\"7896064\"]\n  26 [size=\"52428800\", alpha=\"0.18\", expect_size=\"26214400\"] \n  27 [size=\"44851200\", alpha=\"0.15\", expect_size=\"22425600\"] \n  28 [size=\"12439552\", alpha=\"0.17\", expect_size=\"6219776\"] \n  29 [size=\"57194496\", alpha=\"0.19\", expect_size=\"28597248\"] \n  30 [size=\"20908032\", alpha=\"0.16\", expect_size=\"10454016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64135168\", alpha=\"0.18\", expect_size=\"32067584\"] \n  1 -> 10 [size =\"32067584\"]\n  1 -> 15 [size =\"32067584\"]\n  1 -> 16 [size =\"32067584\"]\n  1 -> 19 [size =\"32067584\"]\n  1 -> 21 [size =\"32067584\"]\n  2 [size=\"11884544\", alpha=\"0.19\", expect_size=\"5942272\"] \n  2 -> 12 [size =\"5942272\"]\n  2 -> 16 [size =\"5942272\"]\n  2 -> 19 [size =\"5942272\"]\n  2 -> 20 [size =\"5942272\"]\n  2 -> 21 [size =\"5942272\"]\n  3 [size=\"62994432\", alpha=\"0.02\", expect_size=\"31497216\"] \n  3 -> 11 [size =\"31497216\"]\n  3 -> 21 [size =\"31497216\"]\n  4 [size=\"31666176\", alpha=\"0.20\", expect_size=\"15833088\"] \n  4 -> 10 [size =\"15833088\"]\n  4 -> 18 [size =\"15833088\"]\n  4 -> 19 [size =\"15833088\"]\n  4 -> 20 [size =\"15833088\"]\n  5 [size=\"97134592\", alpha=\"0.04\", expect_size=\"48567296\"] \n  5 -> 13 [size =\"48567296\"]\n  5 -> 18 [size =\"48567296\"]\n  5 -> 20 [size =\"48567296\"]\n  6 [size=\"25450496\", alpha=\"0.06\", expect_size=\"12725248\"] \n  6 -> 11 [size =\"12725248\"]\n  6 -> 14 [size =\"12725248\"]\n  6 -> 18 [size =\"12725248\"]\n  7 [size=\"82780160\", alpha=\"0.06\", expect_size=\"41390080\"] \n  7 -> 15 [size =\"41390080\"]\n  7 -> 16 [size =\"41390080\"]\n  7 -> 17 [size =\"41390080\"]\n  7 -> 18 [size =\"41390080\"]\n  7 -> 19 [size =\"41390080\"]\n  8 [size=\"28796928\", alpha=\"0.13\", expect_size=\"14398464\"] \n  8 -> 10 [size =\"14398464\"]\n  8 -> 11 [size =\"14398464\"]\n  8 -> 14 [size =\"14398464\"]\n  8 -> 16 [size =\"14398464\"]\n  8 -> 17 [size =\"14398464\"]\n  8 -> 20 [size =\"14398464\"]\n  9 [size=\"84307968\", alpha=\"0.08\", expect_size=\"42153984\"] \n  9 -> 12 [size =\"42153984\"]\n  9 -> 16 [size =\"42153984\"]\n  10 [size=\"48062464\", alpha=\"0.07\", expect_size=\"24031232\"] \n  10 -> 23 [size =\"24031232\"]\n  10 -> 24 [size =\"24031232\"]\n  10 -> 26 [size =\"24031232\"]\n  10 -> 30 [size =\"24031232\"]\n  11 [size=\"25692160\", alpha=\"0.19\", expect_size=\"12846080\"] \n  12 [size=\"17231872\", alpha=\"0.03\", expect_size=\"8615936\"] \n  12 -> 23 [size =\"8615936\"]\n  12 -> 27 [size =\"8615936\"]\n  12 -> 29 [size =\"8615936\"]\n  13 [size=\"11374592\", alpha=\"0.15\", expect_size=\"5687296\"] \n  13 -> 22 [size =\"5687296\"]\n  13 -> 24 [size =\"5687296\"]\n  13 -> 28 [size =\"5687296\"]\n  13 -> 29 [size =\"5687296\"]\n  14 [size=\"18790400\", alpha=\"0.06\", expect_size=\"9395200\"] \n  14 -> 24 [size =\"9395200\"]\n  14 -> 29 [size =\"9395200\"]\n  14 -> 30 [size =\"9395200\"]\n  15 [size=\"17397760\", alpha=\"0.03\", expect_size=\"8698880\"] \n  15 -> 26 [size =\"8698880\"]\n  15 -> 30 [size =\"8698880\"]\n  16 [size=\"36063232\", alpha=\"0.08\", expect_size=\"18031616\"] \n  16 -> 23 [size =\"18031616\"]\n  16 -> 26 [size =\"18031616\"]\n  16 -> 30 [size =\"18031616\"]\n  17 [size=\"63109120\", alpha=\"0.11\", expect_size=\"31554560\"] \n  17 -> 24 [size =\"31554560\"]\n  17 -> 29 [size =\"31554560\"]\n  17 -> 30 [size =\"31554560\"]\n  18 [size=\"90726400\", alpha=\"0.04\", expect_size=\"45363200\"] \n  18 -> 24 [size =\"45363200\"]\n  18 -> 30 [size =\"45363200\"]\n  19 [size=\"59490304\", alpha=\"0.18\", expect_size=\"29745152\"] \n  19 -> 22 [size =\"29745152\"]\n  19 -> 25 [size =\"29745152\"]\n  20 [size=\"95807488\", alpha=\"0.00\", expect_size=\"47903744\"] \n  20 -> 25 [size =\"47903744\"]\n  21 [size=\"35887104\", alpha=\"0.14\", expect_size=\"17943552\"] \n  21 -> 23 [size =\"17943552\"]\n  21 -> 28 [size =\"17943552\"]\n  22 [size=\"29933568\", alpha=\"0.08\", expect_size=\"14966784\"] \n  23 [size=\"45074432\", alpha=\"0.14\", expect_size=\"22537216\"] \n  24 [size=\"22702080\", alpha=\"0.04\", expect_size=\"11351040\"] \n  25 [size=\"50409472\", alpha=\"0.12\", expect_size=\"25204736\"] \n  26 [size=\"65634304\", alpha=\"0.03\", expect_size=\"32817152\"] \n  27 [size=\"104648704\", alpha=\"0.10\", expect_size=\"52324352\"] \n  28 [size=\"63801344\", alpha=\"0.00\", expect_size=\"31900672\"] \n  29 [size=\"82257920\", alpha=\"0.07\", expect_size=\"41128960\"] \n  30 [size=\"71837696\", alpha=\"0.01\", expect_size=\"35918848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108072960\", alpha=\"0.17\", expect_size=\"43229184\"] \n  1 -> 7 [size =\"43229184\"]\n  1 -> 9 [size =\"43229184\"]\n  1 -> 12 [size =\"43229184\"]\n  1 -> 15 [size =\"43229184\"]\n  2 [size=\"22036480\", alpha=\"0.05\", expect_size=\"8814592\"] \n  2 -> 7 [size =\"8814592\"]\n  2 -> 9 [size =\"8814592\"]\n  2 -> 10 [size =\"8814592\"]\n  2 -> 14 [size =\"8814592\"]\n  2 -> 15 [size =\"8814592\"]\n  3 [size=\"38090240\", alpha=\"0.20\", expect_size=\"15236096\"] \n  3 -> 6 [size =\"15236096\"]\n  3 -> 7 [size =\"15236096\"]\n  3 -> 8 [size =\"15236096\"]\n  3 -> 14 [size =\"15236096\"]\n  4 [size=\"57553920\", alpha=\"0.05\", expect_size=\"23021568\"] \n  4 -> 6 [size =\"23021568\"]\n  4 -> 9 [size =\"23021568\"]\n  4 -> 10 [size =\"23021568\"]\n  4 -> 11 [size =\"23021568\"]\n  4 -> 14 [size =\"23021568\"]\n  5 [size=\"21795840\", alpha=\"0.07\", expect_size=\"8718336\"] \n  5 -> 12 [size =\"8718336\"]\n  5 -> 13 [size =\"8718336\"]\n  6 [size=\"90455040\", alpha=\"0.12\", expect_size=\"36182016\"] \n  6 -> 19 [size =\"36182016\"]\n  6 -> 20 [size =\"36182016\"]\n  7 [size=\"44185600\", alpha=\"0.05\", expect_size=\"17674240\"] \n  7 -> 16 [size =\"17674240\"]\n  8 [size=\"77739520\", alpha=\"0.06\", expect_size=\"31095808\"] \n  8 -> 16 [size =\"31095808\"]\n  8 -> 18 [size =\"31095808\"]\n  9 [size=\"91005440\", alpha=\"0.08\", expect_size=\"36402176\"] \n  9 -> 16 [size =\"36402176\"]\n  9 -> 17 [size =\"36402176\"]\n  10 [size=\"36764160\", alpha=\"0.16\", expect_size=\"14705664\"] \n  11 [size=\"56527360\", alpha=\"0.08\", expect_size=\"22610944\"] \n  11 -> 18 [size =\"22610944\"]\n  12 [size=\"39313920\", alpha=\"0.14\", expect_size=\"15725568\"] \n  13 [size=\"68160000\", alpha=\"0.12\", expect_size=\"27264000\"] \n  13 -> 17 [size =\"27264000\"]\n  14 [size=\"68152320\", alpha=\"0.17\", expect_size=\"27260928\"] \n  14 -> 17 [size =\"27260928\"]\n  14 -> 18 [size =\"27260928\"]\n  15 [size=\"96581120\", alpha=\"0.12\", expect_size=\"38632448\"] \n  15 -> 17 [size =\"38632448\"]\n  15 -> 18 [size =\"38632448\"]\n  15 -> 19 [size =\"38632448\"]\n  16 [size=\"18657280\", alpha=\"0.07\", expect_size=\"7462912\"] \n  16 -> 22 [size =\"7462912\"]\n  16 -> 23 [size =\"7462912\"]\n  16 -> 25 [size =\"7462912\"]\n  16 -> 29 [size =\"7462912\"]\n  17 [size=\"92185600\", alpha=\"0.01\", expect_size=\"36874240\"] \n  17 -> 24 [size =\"36874240\"]\n  17 -> 26 [size =\"36874240\"]\n  17 -> 27 [size =\"36874240\"]\n  18 [size=\"122030080\", alpha=\"0.08\", expect_size=\"48812032\"] \n  18 -> 21 [size =\"48812032\"]\n  18 -> 23 [size =\"48812032\"]\n  18 -> 25 [size =\"48812032\"]\n  18 -> 26 [size =\"48812032\"]\n  18 -> 28 [size =\"48812032\"]\n  19 [size=\"39201280\", alpha=\"0.17\", expect_size=\"15680512\"] \n  19 -> 23 [size =\"15680512\"]\n  19 -> 27 [size =\"15680512\"]\n  19 -> 28 [size =\"15680512\"]\n  20 [size=\"85537280\", alpha=\"0.08\", expect_size=\"34214912\"] \n  20 -> 22 [size =\"34214912\"]\n  20 -> 26 [size =\"34214912\"]\n  20 -> 27 [size =\"34214912\"]\n  20 -> 28 [size =\"34214912\"]\n  21 [size=\"64624640\", alpha=\"0.15\", expect_size=\"25849856\"] \n  21 -> 30 [size =\"25849856\"]\n  22 [size=\"114078720\", alpha=\"0.04\", expect_size=\"45631488\"] \n  22 -> 30 [size =\"45631488\"]\n  23 [size=\"81472000\", alpha=\"0.17\", expect_size=\"32588800\"] \n  23 -> 30 [size =\"32588800\"]\n  24 [size=\"34391040\", alpha=\"0.17\", expect_size=\"13756416\"] \n  24 -> 30 [size =\"13756416\"]\n  25 [size=\"16409600\", alpha=\"0.19\", expect_size=\"6563840\"] \n  25 -> 30 [size =\"6563840\"]\n  26 [size=\"86213120\", alpha=\"0.14\", expect_size=\"34485248\"] \n  27 [size=\"126730240\", alpha=\"0.14\", expect_size=\"50692096\"] \n  27 -> 30 [size =\"50692096\"]\n  28 [size=\"15751680\", alpha=\"0.05\", expect_size=\"6300672\"] \n  29 [size=\"64250880\", alpha=\"0.10\", expect_size=\"25700352\"] \n  30 [size=\"48399360\", alpha=\"0.18\", expect_size=\"19359744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29569707\", alpha=\"0.15\", expect_size=\"8870912\"] \n  1 -> 11 [size =\"8870912\"]\n  1 -> 12 [size =\"8870912\"]\n  1 -> 13 [size =\"8870912\"]\n  1 -> 14 [size =\"8870912\"]\n  1 -> 16 [size =\"8870912\"]\n  1 -> 18 [size =\"8870912\"]\n  1 -> 20 [size =\"8870912\"]\n  2 [size=\"147496960\", alpha=\"0.14\", expect_size=\"44249088\"] \n  2 -> 11 [size =\"44249088\"]\n  2 -> 12 [size =\"44249088\"]\n  2 -> 13 [size =\"44249088\"]\n  2 -> 14 [size =\"44249088\"]\n  2 -> 16 [size =\"44249088\"]\n  2 -> 20 [size =\"44249088\"]\n  3 [size=\"93487787\", alpha=\"0.01\", expect_size=\"28046336\"] \n  3 -> 16 [size =\"28046336\"]\n  3 -> 17 [size =\"28046336\"]\n  3 -> 18 [size =\"28046336\"]\n  3 -> 20 [size =\"28046336\"]\n  4 [size=\"126204587\", alpha=\"0.07\", expect_size=\"37861376\"] \n  4 -> 11 [size =\"37861376\"]\n  4 -> 13 [size =\"37861376\"]\n  4 -> 16 [size =\"37861376\"]\n  4 -> 18 [size =\"37861376\"]\n  4 -> 20 [size =\"37861376\"]\n  5 [size=\"45680640\", alpha=\"0.02\", expect_size=\"13704192\"] \n  5 -> 13 [size =\"13704192\"]\n  5 -> 14 [size =\"13704192\"]\n  5 -> 19 [size =\"13704192\"]\n  5 -> 20 [size =\"13704192\"]\n  6 [size=\"119149227\", alpha=\"0.06\", expect_size=\"35744768\"] \n  6 -> 12 [size =\"35744768\"]\n  6 -> 15 [size =\"35744768\"]\n  6 -> 20 [size =\"35744768\"]\n  7 [size=\"77052587\", alpha=\"0.00\", expect_size=\"23115776\"] \n  7 -> 16 [size =\"23115776\"]\n  7 -> 18 [size =\"23115776\"]\n  7 -> 19 [size =\"23115776\"]\n  8 [size=\"48418133\", alpha=\"0.10\", expect_size=\"14525440\"] \n  8 -> 12 [size =\"14525440\"]\n  8 -> 13 [size =\"14525440\"]\n  8 -> 14 [size =\"14525440\"]\n  8 -> 16 [size =\"14525440\"]\n  8 -> 18 [size =\"14525440\"]\n  8 -> 19 [size =\"14525440\"]\n  9 [size=\"138321920\", alpha=\"0.16\", expect_size=\"41496576\"] \n  9 -> 14 [size =\"41496576\"]\n  9 -> 19 [size =\"41496576\"]\n  10 [size=\"130099200\", alpha=\"0.14\", expect_size=\"39029760\"] \n  10 -> 11 [size =\"39029760\"]\n  10 -> 12 [size =\"39029760\"]\n  10 -> 14 [size =\"39029760\"]\n  10 -> 18 [size =\"39029760\"]\n  11 [size=\"83636907\", alpha=\"0.04\", expect_size=\"25091072\"] \n  11 -> 21 [size =\"25091072\"]\n  11 -> 25 [size =\"25091072\"]\n  11 -> 26 [size =\"25091072\"]\n  11 -> 27 [size =\"25091072\"]\n  11 -> 28 [size =\"25091072\"]\n  12 [size=\"44642987\", alpha=\"0.13\", expect_size=\"13392896\"] \n  12 -> 21 [size =\"13392896\"]\n  12 -> 23 [size =\"13392896\"]\n  12 -> 25 [size =\"13392896\"]\n  12 -> 27 [size =\"13392896\"]\n  12 -> 28 [size =\"13392896\"]\n  12 -> 29 [size =\"13392896\"]\n  13 [size=\"153627307\", alpha=\"0.19\", expect_size=\"46088192\"] \n  13 -> 21 [size =\"46088192\"]\n  13 -> 24 [size =\"46088192\"]\n  13 -> 25 [size =\"46088192\"]\n  13 -> 26 [size =\"46088192\"]\n  13 -> 27 [size =\"46088192\"]\n  13 -> 29 [size =\"46088192\"]\n  13 -> 30 [size =\"46088192\"]\n  14 [size=\"160361813\", alpha=\"0.11\", expect_size=\"48108544\"] \n  14 -> 21 [size =\"48108544\"]\n  14 -> 22 [size =\"48108544\"]\n  14 -> 25 [size =\"48108544\"]\n  14 -> 28 [size =\"48108544\"]\n  15 [size=\"61016747\", alpha=\"0.13\", expect_size=\"18305024\"] \n  15 -> 23 [size =\"18305024\"]\n  15 -> 26 [size =\"18305024\"]\n  15 -> 27 [size =\"18305024\"]\n  15 -> 28 [size =\"18305024\"]\n  16 [size=\"78636373\", alpha=\"0.17\", expect_size=\"23590912\"] \n  16 -> 29 [size =\"23590912\"]\n  17 [size=\"127703040\", alpha=\"0.08\", expect_size=\"38310912\"] \n  17 -> 22 [size =\"38310912\"]\n  17 -> 27 [size =\"38310912\"]\n  17 -> 30 [size =\"38310912\"]\n  18 [size=\"130740907\", alpha=\"0.02\", expect_size=\"39222272\"] \n  18 -> 24 [size =\"39222272\"]\n  18 -> 25 [size =\"39222272\"]\n  18 -> 28 [size =\"39222272\"]\n  19 [size=\"49517227\", alpha=\"0.13\", expect_size=\"14855168\"] \n  19 -> 21 [size =\"14855168\"]\n  19 -> 25 [size =\"14855168\"]\n  19 -> 29 [size =\"14855168\"]\n  19 -> 30 [size =\"14855168\"]\n  20 [size=\"19210240\", alpha=\"0.19\", expect_size=\"5763072\"] \n  20 -> 21 [size =\"5763072\"]\n  20 -> 28 [size =\"5763072\"]\n  20 -> 30 [size =\"5763072\"]\n  21 [size=\"125777920\", alpha=\"0.07\", expect_size=\"37733376\"] \n  22 [size=\"160051200\", alpha=\"0.12\", expect_size=\"48015360\"] \n  23 [size=\"107820373\", alpha=\"0.06\", expect_size=\"32346112\"] \n  24 [size=\"98187947\", alpha=\"0.14\", expect_size=\"29456384\"] \n  25 [size=\"27617280\", alpha=\"0.06\", expect_size=\"8285184\"] \n  26 [size=\"132502187\", alpha=\"0.10\", expect_size=\"39750656\"] \n  27 [size=\"107950080\", alpha=\"0.03\", expect_size=\"32385024\"] \n  28 [size=\"169308160\", alpha=\"0.19\", expect_size=\"50792448\"] \n  29 [size=\"31348053\", alpha=\"0.10\", expect_size=\"9404416\"] \n  30 [size=\"130713600\", alpha=\"0.16\", expect_size=\"39214080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60753920\", alpha=\"0.01\", expect_size=\"24301568\"] \n  1 -> 16 [size =\"24301568\"]\n  1 -> 18 [size =\"24301568\"]\n  1 -> 19 [size =\"24301568\"]\n  2 [size=\"17203200\", alpha=\"0.03\", expect_size=\"6881280\"] \n  2 -> 11 [size =\"6881280\"]\n  2 -> 12 [size =\"6881280\"]\n  2 -> 13 [size =\"6881280\"]\n  2 -> 14 [size =\"6881280\"]\n  2 -> 18 [size =\"6881280\"]\n  3 [size=\"105512960\", alpha=\"0.20\", expect_size=\"42205184\"] \n  3 -> 12 [size =\"42205184\"]\n  3 -> 13 [size =\"42205184\"]\n  3 -> 14 [size =\"42205184\"]\n  3 -> 15 [size =\"42205184\"]\n  3 -> 17 [size =\"42205184\"]\n  3 -> 21 [size =\"42205184\"]\n  4 [size=\"96683520\", alpha=\"0.12\", expect_size=\"38673408\"] \n  4 -> 11 [size =\"38673408\"]\n  4 -> 14 [size =\"38673408\"]\n  4 -> 16 [size =\"38673408\"]\n  5 [size=\"127477760\", alpha=\"0.10\", expect_size=\"50991104\"] \n  5 -> 11 [size =\"50991104\"]\n  5 -> 14 [size =\"50991104\"]\n  5 -> 15 [size =\"50991104\"]\n  5 -> 18 [size =\"50991104\"]\n  5 -> 19 [size =\"50991104\"]\n  5 -> 20 [size =\"50991104\"]\n  6 [size=\"129856000\", alpha=\"0.09\", expect_size=\"51942400\"] \n  6 -> 11 [size =\"51942400\"]\n  6 -> 12 [size =\"51942400\"]\n  6 -> 13 [size =\"51942400\"]\n  6 -> 21 [size =\"51942400\"]\n  7 [size=\"64829440\", alpha=\"0.03\", expect_size=\"25931776\"] \n  7 -> 11 [size =\"25931776\"]\n  7 -> 12 [size =\"25931776\"]\n  7 -> 13 [size =\"25931776\"]\n  7 -> 14 [size =\"25931776\"]\n  7 -> 18 [size =\"25931776\"]\n  7 -> 21 [size =\"25931776\"]\n  8 [size=\"33771520\", alpha=\"0.03\", expect_size=\"13508608\"] \n  8 -> 11 [size =\"13508608\"]\n  8 -> 12 [size =\"13508608\"]\n  8 -> 13 [size =\"13508608\"]\n  8 -> 14 [size =\"13508608\"]\n  8 -> 18 [size =\"13508608\"]\n  8 -> 21 [size =\"13508608\"]\n  9 [size=\"33653760\", alpha=\"0.08\", expect_size=\"13461504\"] \n  9 -> 11 [size =\"13461504\"]\n  9 -> 12 [size =\"13461504\"]\n  9 -> 18 [size =\"13461504\"]\n  9 -> 21 [size =\"13461504\"]\n  10 [size=\"96143360\", alpha=\"0.14\", expect_size=\"38457344\"] \n  10 -> 12 [size =\"38457344\"]\n  10 -> 20 [size =\"38457344\"]\n  11 [size=\"62138880\", alpha=\"0.18\", expect_size=\"24855552\"] \n  11 -> 23 [size =\"24855552\"]\n  11 -> 26 [size =\"24855552\"]\n  12 [size=\"67107840\", alpha=\"0.14\", expect_size=\"26843136\"] \n  12 -> 25 [size =\"26843136\"]\n  12 -> 27 [size =\"26843136\"]\n  13 [size=\"84167680\", alpha=\"0.11\", expect_size=\"33667072\"] \n  13 -> 22 [size =\"33667072\"]\n  13 -> 24 [size =\"33667072\"]\n  13 -> 25 [size =\"33667072\"]\n  13 -> 26 [size =\"33667072\"]\n  14 [size=\"82296320\", alpha=\"0.08\", expect_size=\"32918528\"] \n  14 -> 22 [size =\"32918528\"]\n  14 -> 23 [size =\"32918528\"]\n  14 -> 24 [size =\"32918528\"]\n  14 -> 26 [size =\"32918528\"]\n  14 -> 27 [size =\"32918528\"]\n  14 -> 28 [size =\"32918528\"]\n  14 -> 29 [size =\"32918528\"]\n  15 [size=\"33548800\", alpha=\"0.11\", expect_size=\"13419520\"] \n  15 -> 24 [size =\"13419520\"]\n  15 -> 26 [size =\"13419520\"]\n  15 -> 27 [size =\"13419520\"]\n  16 [size=\"94730240\", alpha=\"0.09\", expect_size=\"37892096\"] \n  16 -> 23 [size =\"37892096\"]\n  16 -> 26 [size =\"37892096\"]\n  16 -> 27 [size =\"37892096\"]\n  16 -> 29 [size =\"37892096\"]\n  17 [size=\"32222720\", alpha=\"0.04\", expect_size=\"12889088\"] \n  17 -> 23 [size =\"12889088\"]\n  17 -> 24 [size =\"12889088\"]\n  17 -> 26 [size =\"12889088\"]\n  17 -> 27 [size =\"12889088\"]\n  17 -> 29 [size =\"12889088\"]\n  18 [size=\"48189440\", alpha=\"0.12\", expect_size=\"19275776\"] \n  18 -> 22 [size =\"19275776\"]\n  18 -> 23 [size =\"19275776\"]\n  18 -> 24 [size =\"19275776\"]\n  18 -> 26 [size =\"19275776\"]\n  18 -> 27 [size =\"19275776\"]\n  19 [size=\"64071680\", alpha=\"0.00\", expect_size=\"25628672\"] \n  19 -> 22 [size =\"25628672\"]\n  19 -> 23 [size =\"25628672\"]\n  19 -> 24 [size =\"25628672\"]\n  19 -> 26 [size =\"25628672\"]\n  19 -> 27 [size =\"25628672\"]\n  19 -> 29 [size =\"25628672\"]\n  20 [size=\"113446400\", alpha=\"0.02\", expect_size=\"45378560\"] \n  20 -> 22 [size =\"45378560\"]\n  20 -> 23 [size =\"45378560\"]\n  20 -> 26 [size =\"45378560\"]\n  21 [size=\"80729600\", alpha=\"0.13\", expect_size=\"32291840\"] \n  21 -> 22 [size =\"32291840\"]\n  21 -> 23 [size =\"32291840\"]\n  21 -> 26 [size =\"32291840\"]\n  21 -> 27 [size =\"32291840\"]\n  21 -> 28 [size =\"32291840\"]\n  22 [size=\"70064640\", alpha=\"0.03\", expect_size=\"28025856\"] \n  23 [size=\"35330560\", alpha=\"0.10\", expect_size=\"14132224\"] \n  23 -> 30 [size =\"14132224\"]\n  24 [size=\"101731840\", alpha=\"0.11\", expect_size=\"40692736\"] \n  25 [size=\"31395840\", alpha=\"0.11\", expect_size=\"12558336\"] \n  26 [size=\"94126080\", alpha=\"0.11\", expect_size=\"37650432\"] \n  27 [size=\"32061440\", alpha=\"0.19\", expect_size=\"12824576\"] \n  27 -> 30 [size =\"12824576\"]\n  28 [size=\"57838080\", alpha=\"0.11\", expect_size=\"23135232\"] \n  29 [size=\"128847360\", alpha=\"0.07\", expect_size=\"51538944\"] \n  30 [size=\"130503680\", alpha=\"0.17\", expect_size=\"52201472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82223787\", alpha=\"0.05\", expect_size=\"24667136\"] \n  1 -> 25 [size =\"24667136\"]\n  1 -> 26 [size =\"24667136\"]\n  1 -> 28 [size =\"24667136\"]\n  1 -> 29 [size =\"24667136\"]\n  1 -> 30 [size =\"24667136\"]\n  2 [size=\"38096213\", alpha=\"0.02\", expect_size=\"11428864\"] \n  2 -> 26 [size =\"11428864\"]\n  2 -> 29 [size =\"11428864\"]\n  3 [size=\"81920000\", alpha=\"0.16\", expect_size=\"24576000\"] \n  3 -> 28 [size =\"24576000\"]\n  3 -> 29 [size =\"24576000\"]\n  4 [size=\"46434987\", alpha=\"0.06\", expect_size=\"13930496\"] \n  4 -> 29 [size =\"13930496\"]\n  4 -> 29 [size =\"13930496\"]\n  5 [size=\"68925440\", alpha=\"0.17\", expect_size=\"20677632\"] \n  5 -> 28 [size =\"20677632\"]\n  5 -> 30 [size =\"20677632\"]\n  6 [size=\"42574507\", alpha=\"0.06\", expect_size=\"12772352\"] \n  6 -> 26 [size =\"12772352\"]\n  6 -> 29 [size =\"12772352\"]\n  6 -> 30 [size =\"12772352\"]\n  7 [size=\"110213120\", alpha=\"0.17\", expect_size=\"33063936\"] \n  7 -> 26 [size =\"33063936\"]\n  8 [size=\"94409387\", alpha=\"0.02\", expect_size=\"28322816\"] \n  8 -> 26 [size =\"28322816\"]\n  8 -> 29 [size =\"28322816\"]\n  8 -> 30 [size =\"28322816\"]\n  9 [size=\"143998293\", alpha=\"0.07\", expect_size=\"43199488\"] \n  9 -> 29 [size =\"43199488\"]\n  9 -> 29 [size =\"43199488\"]\n  10 [size=\"23763627\", alpha=\"0.02\", expect_size=\"7129088\"] \n  10 -> 29 [size =\"7129088\"]\n  11 [size=\"105072640\", alpha=\"0.09\", expect_size=\"31521792\"] \n  11 -> 29 [size =\"31521792\"]\n  12 [size=\"147483307\", alpha=\"0.14\", expect_size=\"44244992\"] \n  12 -> 28 [size =\"44244992\"]\n  13 [size=\"166635520\", alpha=\"0.00\", expect_size=\"49990656\"] \n  13 -> 26 [size =\"49990656\"]\n  13 -> 27 [size =\"49990656\"]\n  13 -> 28 [size =\"49990656\"]\n  14 [size=\"134935893\", alpha=\"0.16\", expect_size=\"40480768\"] \n  14 -> 26 [size =\"40480768\"]\n  14 -> 28 [size =\"40480768\"]\n  14 -> 28 [size =\"40480768\"]\n  14 -> 29 [size =\"40480768\"]\n  15 [size=\"25985707\", alpha=\"0.16\", expect_size=\"7795712\"] \n  15 -> 28 [size =\"7795712\"]\n  15 -> 30 [size =\"7795712\"]\n  16 [size=\"156061013\", alpha=\"0.04\", expect_size=\"46818304\"] \n  16 -> 25 [size =\"46818304\"]\n  16 -> 26 [size =\"46818304\"]\n  16 -> 29 [size =\"46818304\"]\n  17 [size=\"46991360\", alpha=\"0.16\", expect_size=\"14097408\"] \n  18 [size=\"21213867\", alpha=\"0.08\", expect_size=\"6364160\"] \n  18 -> 26 [size =\"6364160\"]\n  19 [size=\"40813227\", alpha=\"0.09\", expect_size=\"12243968\"] \n  19 -> 30 [size =\"12243968\"]\n  20 [size=\"95679147\", alpha=\"0.12\", expect_size=\"28703744\"] \n  20 -> 29 [size =\"28703744\"]\n  20 -> 30 [size =\"28703744\"]\n  21 [size=\"110482773\", alpha=\"0.03\", expect_size=\"33144832\"] \n  21 -> 25 [size =\"33144832\"]\n  21 -> 26 [size =\"33144832\"]\n  21 -> 27 [size =\"33144832\"]\n  21 -> 29 [size =\"33144832\"]\n  22 [size=\"23186773\", alpha=\"0.17\", expect_size=\"6956032\"] \n  23 [size=\"134591147\", alpha=\"0.20\", expect_size=\"40377344\"] \n  23 -> 25 [size =\"40377344\"]\n  23 -> 29 [size =\"40377344\"]\n  24 [size=\"138014720\", alpha=\"0.05\", expect_size=\"41404416\"] \n  24 -> 29 [size =\"41404416\"]\n  24 -> 29 [size =\"41404416\"]\n  25 [size=\"107905707\", alpha=\"0.18\", expect_size=\"32371712\"] \n  26 [size=\"78858240\", alpha=\"0.14\", expect_size=\"23657472\"] \n  27 [size=\"113797120\", alpha=\"0.01\", expect_size=\"34139136\"] \n  28 [size=\"82916693\", alpha=\"0.18\", expect_size=\"24875008\"] \n  29 [size=\"146251093\", alpha=\"0.11\", expect_size=\"43875328\"] \n  30 [size=\"57303040\", alpha=\"0.06\", expect_size=\"17190912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28981760\", alpha=\"0.20\", expect_size=\"11592704\"] \n  1 -> 10 [size =\"11592704\"]\n  1 -> 11 [size =\"11592704\"]\n  1 -> 12 [size =\"11592704\"]\n  1 -> 14 [size =\"11592704\"]\n  1 -> 16 [size =\"11592704\"]\n  2 [size=\"37657600\", alpha=\"0.10\", expect_size=\"15063040\"] \n  2 -> 11 [size =\"15063040\"]\n  2 -> 11 [size =\"15063040\"]\n  2 -> 12 [size =\"15063040\"]\n  2 -> 15 [size =\"15063040\"]\n  2 -> 16 [size =\"15063040\"]\n  3 [size=\"50042880\", alpha=\"0.02\", expect_size=\"20017152\"] \n  3 -> 12 [size =\"20017152\"]\n  3 -> 15 [size =\"20017152\"]\n  3 -> 16 [size =\"20017152\"]\n  4 [size=\"119966720\", alpha=\"0.08\", expect_size=\"47986688\"] \n  4 -> 12 [size =\"47986688\"]\n  4 -> 15 [size =\"47986688\"]\n  4 -> 16 [size =\"47986688\"]\n  5 [size=\"93841920\", alpha=\"0.06\", expect_size=\"37536768\"] \n  5 -> 11 [size =\"37536768\"]\n  5 -> 12 [size =\"37536768\"]\n  5 -> 14 [size =\"37536768\"]\n  5 -> 16 [size =\"37536768\"]\n  6 [size=\"86648320\", alpha=\"0.04\", expect_size=\"34659328\"] \n  6 -> 11 [size =\"34659328\"]\n  6 -> 12 [size =\"34659328\"]\n  6 -> 13 [size =\"34659328\"]\n  6 -> 14 [size =\"34659328\"]\n  6 -> 15 [size =\"34659328\"]\n  6 -> 16 [size =\"34659328\"]\n  7 [size=\"99658240\", alpha=\"0.11\", expect_size=\"39863296\"] \n  7 -> 11 [size =\"39863296\"]\n  7 -> 12 [size =\"39863296\"]\n  7 -> 14 [size =\"39863296\"]\n  7 -> 15 [size =\"39863296\"]\n  7 -> 15 [size =\"39863296\"]\n  8 [size=\"80788480\", alpha=\"0.08\", expect_size=\"32315392\"] \n  8 -> 10 [size =\"32315392\"]\n  8 -> 11 [size =\"32315392\"]\n  8 -> 13 [size =\"32315392\"]\n  8 -> 14 [size =\"32315392\"]\n  8 -> 16 [size =\"32315392\"]\n  8 -> 18 [size =\"32315392\"]\n  9 [size=\"74762240\", alpha=\"0.07\", expect_size=\"29904896\"] \n  9 -> 10 [size =\"29904896\"]\n  9 -> 11 [size =\"29904896\"]\n  9 -> 12 [size =\"29904896\"]\n  9 -> 17 [size =\"29904896\"]\n  10 [size=\"129003520\", alpha=\"0.08\", expect_size=\"51601408\"] \n  10 -> 20 [size =\"51601408\"]\n  10 -> 22 [size =\"51601408\"]\n  10 -> 23 [size =\"51601408\"]\n  10 -> 25 [size =\"51601408\"]\n  10 -> 26 [size =\"51601408\"]\n  11 [size=\"127633920\", alpha=\"0.09\", expect_size=\"51053568\"] \n  11 -> 21 [size =\"51053568\"]\n  11 -> 23 [size =\"51053568\"]\n  11 -> 25 [size =\"51053568\"]\n  11 -> 26 [size =\"51053568\"]\n  12 [size=\"125514240\", alpha=\"0.09\", expect_size=\"50205696\"] \n  12 -> 20 [size =\"50205696\"]\n  12 -> 21 [size =\"50205696\"]\n  12 -> 24 [size =\"50205696\"]\n  13 [size=\"64025600\", alpha=\"0.19\", expect_size=\"25610240\"] \n  13 -> 20 [size =\"25610240\"]\n  13 -> 23 [size =\"25610240\"]\n  13 -> 24 [size =\"25610240\"]\n  13 -> 25 [size =\"25610240\"]\n  13 -> 26 [size =\"25610240\"]\n  14 [size=\"73991680\", alpha=\"0.16\", expect_size=\"29596672\"] \n  14 -> 21 [size =\"29596672\"]\n  14 -> 26 [size =\"29596672\"]\n  15 [size=\"123535360\", alpha=\"0.19\", expect_size=\"49414144\"] \n  15 -> 21 [size =\"49414144\"]\n  15 -> 23 [size =\"49414144\"]\n  16 [size=\"39298560\", alpha=\"0.14\", expect_size=\"15719424\"] \n  16 -> 19 [size =\"15719424\"]\n  16 -> 20 [size =\"15719424\"]\n  16 -> 21 [size =\"15719424\"]\n  16 -> 23 [size =\"15719424\"]\n  16 -> 24 [size =\"15719424\"]\n  16 -> 25 [size =\"15719424\"]\n  16 -> 27 [size =\"15719424\"]\n  17 [size=\"60664320\", alpha=\"0.18\", expect_size=\"24265728\"] \n  17 -> 21 [size =\"24265728\"]\n  17 -> 22 [size =\"24265728\"]\n  17 -> 23 [size =\"24265728\"]\n  17 -> 25 [size =\"24265728\"]\n  17 -> 27 [size =\"24265728\"]\n  18 [size=\"125235200\", alpha=\"0.02\", expect_size=\"50094080\"] \n  18 -> 20 [size =\"50094080\"]\n  18 -> 22 [size =\"50094080\"]\n  18 -> 23 [size =\"50094080\"]\n  18 -> 25 [size =\"50094080\"]\n  18 -> 26 [size =\"50094080\"]\n  19 [size=\"55595520\", alpha=\"0.15\", expect_size=\"22238208\"] \n  20 [size=\"99811840\", alpha=\"0.15\", expect_size=\"39924736\"] \n  20 -> 30 [size =\"39924736\"]\n  21 [size=\"27653120\", alpha=\"0.18\", expect_size=\"11061248\"] \n  21 -> 30 [size =\"11061248\"]\n  22 [size=\"81546240\", alpha=\"0.04\", expect_size=\"32618496\"] \n  23 [size=\"19330560\", alpha=\"0.17\", expect_size=\"7732224\"] \n  23 -> 30 [size =\"7732224\"]\n  24 [size=\"16337920\", alpha=\"0.08\", expect_size=\"6535168\"] \n  25 [size=\"108108800\", alpha=\"0.13\", expect_size=\"43243520\"] \n  25 -> 29 [size =\"43243520\"]\n  26 [size=\"103134720\", alpha=\"0.10\", expect_size=\"41253888\"] \n  27 [size=\"65674240\", alpha=\"0.02\", expect_size=\"26269696\"] \n  27 -> 28 [size =\"26269696\"]\n  28 [size=\"54164480\", alpha=\"0.06\", expect_size=\"21665792\"] \n  29 [size=\"67491840\", alpha=\"0.20\", expect_size=\"26996736\"] \n  30 [size=\"39759360\", alpha=\"0.13\", expect_size=\"15903744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40983893\", alpha=\"0.10\", expect_size=\"12295168\"] \n  2 [size=\"103024640\", alpha=\"0.16\", expect_size=\"30907392\"] \n  2 -> 3 [size =\"30907392\"]\n  3 [size=\"52206933\", alpha=\"0.12\", expect_size=\"15662080\"] \n  3 -> 4 [size =\"15662080\"]\n  3 -> 5 [size =\"15662080\"]\n  4 [size=\"158897493\", alpha=\"0.05\", expect_size=\"47669248\"] \n  4 -> 6 [size =\"47669248\"]\n  5 [size=\"100802560\", alpha=\"0.05\", expect_size=\"30240768\"] \n  5 -> 7 [size =\"30240768\"]\n  6 [size=\"133273600\", alpha=\"0.08\", expect_size=\"39982080\"] \n  7 [size=\"157013333\", alpha=\"0.14\", expect_size=\"47104000\"] \n  7 -> 8 [size =\"47104000\"]\n  8 [size=\"61146453\", alpha=\"0.00\", expect_size=\"18343936\"] \n  8 -> 9 [size =\"18343936\"]\n  9 [size=\"36519253\", alpha=\"0.15\", expect_size=\"10955776\"] \n  9 -> 10 [size =\"10955776\"]\n  10 [size=\"143093760\", alpha=\"0.02\", expect_size=\"42928128\"] \n  10 -> 11 [size =\"42928128\"]\n  11 [size=\"111022080\", alpha=\"0.12\", expect_size=\"33306624\"] \n  11 -> 12 [size =\"33306624\"]\n  12 [size=\"34696533\", alpha=\"0.05\", expect_size=\"10408960\"] \n  12 -> 13 [size =\"10408960\"]\n  13 [size=\"162239147\", alpha=\"0.11\", expect_size=\"48671744\"] \n  13 -> 14 [size =\"48671744\"]\n  14 [size=\"102417067\", alpha=\"0.00\", expect_size=\"30725120\"] \n  14 -> 15 [size =\"30725120\"]\n  15 [size=\"140414293\", alpha=\"0.10\", expect_size=\"42124288\"] \n  15 -> 16 [size =\"42124288\"]\n  16 [size=\"23360853\", alpha=\"0.05\", expect_size=\"7008256\"] \n  16 -> 17 [size =\"7008256\"]\n  17 [size=\"84299093\", alpha=\"0.08\", expect_size=\"25289728\"] \n  17 -> 18 [size =\"25289728\"]\n  18 [size=\"40161280\", alpha=\"0.10\", expect_size=\"12048384\"] \n  18 -> 19 [size =\"12048384\"]\n  18 -> 20 [size =\"12048384\"]\n  19 [size=\"42287787\", alpha=\"0.14\", expect_size=\"12686336\"] \n  20 [size=\"157296640\", alpha=\"0.17\", expect_size=\"47188992\"] \n  20 -> 21 [size =\"47188992\"]\n  21 [size=\"17609387\", alpha=\"0.03\", expect_size=\"5282816\"] \n  21 -> 22 [size =\"5282816\"]\n  21 -> 23 [size =\"5282816\"]\n  22 [size=\"110069760\", alpha=\"0.20\", expect_size=\"33020928\"] \n  23 [size=\"146957653\", alpha=\"0.01\", expect_size=\"44087296\"] \n  23 -> 24 [size =\"44087296\"]\n  23 -> 25 [size =\"44087296\"]\n  24 [size=\"73666560\", alpha=\"0.00\", expect_size=\"22099968\"] \n  24 -> 27 [size =\"22099968\"]\n  25 [size=\"74287787\", alpha=\"0.10\", expect_size=\"22286336\"] \n  25 -> 26 [size =\"22286336\"]\n  26 [size=\"149934080\", alpha=\"0.14\", expect_size=\"44980224\"] \n  26 -> 28 [size =\"44980224\"]\n  27 [size=\"33751040\", alpha=\"0.17\", expect_size=\"10125312\"] \n  28 [size=\"93467307\", alpha=\"0.04\", expect_size=\"28040192\"] \n  28 -> 29 [size =\"28040192\"]\n  28 -> 30 [size =\"28040192\"]\n  29 [size=\"174346240\", alpha=\"0.15\", expect_size=\"52303872\"] \n  30 [size=\"127815680\", alpha=\"0.01\", expect_size=\"38344704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28430336\", alpha=\"0.18\", expect_size=\"14215168\"] \n  1 -> 5 [size =\"14215168\"]\n  1 -> 6 [size =\"14215168\"]\n  2 [size=\"45260800\", alpha=\"0.12\", expect_size=\"22630400\"] \n  2 -> 5 [size =\"22630400\"]\n  2 -> 6 [size =\"22630400\"]\n  2 -> 7 [size =\"22630400\"]\n  3 [size=\"26912768\", alpha=\"0.05\", expect_size=\"13456384\"] \n  3 -> 5 [size =\"13456384\"]\n  3 -> 7 [size =\"13456384\"]\n  4 [size=\"20234240\", alpha=\"0.05\", expect_size=\"10117120\"] \n  4 -> 5 [size =\"10117120\"]\n  4 -> 6 [size =\"10117120\"]\n  4 -> 7 [size =\"10117120\"]\n  4 -> 8 [size =\"10117120\"]\n  5 [size=\"52506624\", alpha=\"0.14\", expect_size=\"26253312\"] \n  5 -> 9 [size =\"26253312\"]\n  5 -> 12 [size =\"26253312\"]\n  5 -> 13 [size =\"26253312\"]\n  6 [size=\"82442240\", alpha=\"0.04\", expect_size=\"41221120\"] \n  6 -> 9 [size =\"41221120\"]\n  6 -> 12 [size =\"41221120\"]\n  6 -> 13 [size =\"41221120\"]\n  7 [size=\"56475648\", alpha=\"0.18\", expect_size=\"28237824\"] \n  7 -> 10 [size =\"28237824\"]\n  7 -> 11 [size =\"28237824\"]\n  7 -> 12 [size =\"28237824\"]\n  7 -> 13 [size =\"28237824\"]\n  8 [size=\"58144768\", alpha=\"0.19\", expect_size=\"29072384\"] \n  8 -> 10 [size =\"29072384\"]\n  8 -> 11 [size =\"29072384\"]\n  8 -> 12 [size =\"29072384\"]\n  8 -> 13 [size =\"29072384\"]\n  9 [size=\"82180096\", alpha=\"0.10\", expect_size=\"41090048\"] \n  9 -> 14 [size =\"41090048\"]\n  10 [size=\"90902528\", alpha=\"0.04\", expect_size=\"45451264\"] \n  11 [size=\"24014848\", alpha=\"0.15\", expect_size=\"12007424\"] \n  11 -> 14 [size =\"12007424\"]\n  11 -> 16 [size =\"12007424\"]\n  12 [size=\"15239168\", alpha=\"0.01\", expect_size=\"7619584\"] \n  12 -> 14 [size =\"7619584\"]\n  12 -> 15 [size =\"7619584\"]\n  13 [size=\"71567360\", alpha=\"0.17\", expect_size=\"35783680\"] \n  13 -> 14 [size =\"35783680\"]\n  13 -> 16 [size =\"35783680\"]\n  14 [size=\"92823552\", alpha=\"0.17\", expect_size=\"46411776\"] \n  14 -> 18 [size =\"46411776\"]\n  14 -> 18 [size =\"46411776\"]\n  14 -> 19 [size =\"46411776\"]\n  14 -> 20 [size =\"46411776\"]\n  15 [size=\"23062528\", alpha=\"0.09\", expect_size=\"11531264\"] \n  15 -> 19 [size =\"11531264\"]\n  15 -> 21 [size =\"11531264\"]\n  16 [size=\"90359808\", alpha=\"0.11\", expect_size=\"45179904\"] \n  16 -> 17 [size =\"45179904\"]\n  16 -> 18 [size =\"45179904\"]\n  16 -> 19 [size =\"45179904\"]\n  16 -> 21 [size =\"45179904\"]\n  17 [size=\"15681536\", alpha=\"0.16\", expect_size=\"7840768\"] \n  17 -> 23 [size =\"7840768\"]\n  17 -> 24 [size =\"7840768\"]\n  17 -> 24 [size =\"7840768\"]\n  17 -> 26 [size =\"7840768\"]\n  18 [size=\"100947968\", alpha=\"0.01\", expect_size=\"50473984\"] \n  18 -> 22 [size =\"50473984\"]\n  18 -> 23 [size =\"50473984\"]\n  18 -> 26 [size =\"50473984\"]\n  19 [size=\"98584576\", alpha=\"0.14\", expect_size=\"49292288\"] \n  19 -> 23 [size =\"49292288\"]\n  19 -> 23 [size =\"49292288\"]\n  19 -> 26 [size =\"49292288\"]\n  20 [size=\"51968000\", alpha=\"0.04\", expect_size=\"25984000\"] \n  20 -> 26 [size =\"25984000\"]\n  21 [size=\"69341184\", alpha=\"0.17\", expect_size=\"34670592\"] \n  21 -> 22 [size =\"34670592\"]\n  21 -> 23 [size =\"34670592\"]\n  21 -> 24 [size =\"34670592\"]\n  21 -> 25 [size =\"34670592\"]\n  21 -> 26 [size =\"34670592\"]\n  22 [size=\"44234752\", alpha=\"0.17\", expect_size=\"22117376\"] \n  22 -> 27 [size =\"22117376\"]\n  22 -> 29 [size =\"22117376\"]\n  22 -> 30 [size =\"22117376\"]\n  23 [size=\"49299456\", alpha=\"0.02\", expect_size=\"24649728\"] \n  23 -> 27 [size =\"24649728\"]\n  23 -> 28 [size =\"24649728\"]\n  23 -> 29 [size =\"24649728\"]\n  24 [size=\"32794624\", alpha=\"0.08\", expect_size=\"16397312\"] \n  24 -> 27 [size =\"16397312\"]\n  24 -> 28 [size =\"16397312\"]\n  25 [size=\"17561600\", alpha=\"0.03\", expect_size=\"8780800\"] \n  25 -> 27 [size =\"8780800\"]\n  25 -> 28 [size =\"8780800\"]\n  25 -> 29 [size =\"8780800\"]\n  25 -> 30 [size =\"8780800\"]\n  26 [size=\"59078656\", alpha=\"0.13\", expect_size=\"29539328\"] \n  26 -> 27 [size =\"29539328\"]\n  26 -> 29 [size =\"29539328\"]\n  27 [size=\"15060992\", alpha=\"0.13\", expect_size=\"7530496\"] \n  28 [size=\"91947008\", alpha=\"0.03\", expect_size=\"45973504\"] \n  29 [size=\"97789952\", alpha=\"0.08\", expect_size=\"48894976\"] \n  30 [size=\"71362560\", alpha=\"0.11\", expect_size=\"35681280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36943872\", alpha=\"0.12\", expect_size=\"18471936\"] \n  1 -> 5 [size =\"18471936\"]\n  1 -> 6 [size =\"18471936\"]\n  1 -> 8 [size =\"18471936\"]\n  2 [size=\"47081472\", alpha=\"0.08\", expect_size=\"23540736\"] \n  2 -> 5 [size =\"23540736\"]\n  2 -> 7 [size =\"23540736\"]\n  2 -> 8 [size =\"23540736\"]\n  3 [size=\"83931136\", alpha=\"0.13\", expect_size=\"41965568\"] \n  3 -> 5 [size =\"41965568\"]\n  3 -> 8 [size =\"41965568\"]\n  4 [size=\"54603776\", alpha=\"0.03\", expect_size=\"27301888\"] \n  4 -> 5 [size =\"27301888\"]\n  4 -> 8 [size =\"27301888\"]\n  5 [size=\"35999744\", alpha=\"0.06\", expect_size=\"17999872\"] \n  5 -> 10 [size =\"17999872\"]\n  5 -> 12 [size =\"17999872\"]\n  6 [size=\"73719808\", alpha=\"0.13\", expect_size=\"36859904\"] \n  6 -> 9 [size =\"36859904\"]\n  6 -> 10 [size =\"36859904\"]\n  7 [size=\"99997696\", alpha=\"0.16\", expect_size=\"49998848\"] \n  7 -> 9 [size =\"49998848\"]\n  7 -> 10 [size =\"49998848\"]\n  7 -> 11 [size =\"49998848\"]\n  8 [size=\"75919360\", alpha=\"0.14\", expect_size=\"37959680\"] \n  8 -> 9 [size =\"37959680\"]\n  8 -> 10 [size =\"37959680\"]\n  9 [size=\"26109952\", alpha=\"0.17\", expect_size=\"13054976\"] \n  9 -> 13 [size =\"13054976\"]\n  9 -> 15 [size =\"13054976\"]\n  10 [size=\"48142336\", alpha=\"0.09\", expect_size=\"24071168\"] \n  10 -> 14 [size =\"24071168\"]\n  10 -> 15 [size =\"24071168\"]\n  10 -> 16 [size =\"24071168\"]\n  11 [size=\"96669696\", alpha=\"0.12\", expect_size=\"48334848\"] \n  11 -> 13 [size =\"48334848\"]\n  11 -> 14 [size =\"48334848\"]\n  11 -> 15 [size =\"48334848\"]\n  11 -> 16 [size =\"48334848\"]\n  12 [size=\"56780800\", alpha=\"0.15\", expect_size=\"28390400\"] \n  12 -> 14 [size =\"28390400\"]\n  12 -> 16 [size =\"28390400\"]\n  13 [size=\"94578688\", alpha=\"0.10\", expect_size=\"47289344\"] \n  13 -> 17 [size =\"47289344\"]\n  13 -> 19 [size =\"47289344\"]\n  13 -> 20 [size =\"47289344\"]\n  14 [size=\"61126656\", alpha=\"0.11\", expect_size=\"30563328\"] \n  14 -> 19 [size =\"30563328\"]\n  15 [size=\"75122688\", alpha=\"0.06\", expect_size=\"37561344\"] \n  15 -> 19 [size =\"37561344\"]\n  16 [size=\"11196416\", alpha=\"0.03\", expect_size=\"5598208\"] \n  16 -> 17 [size =\"5598208\"]\n  16 -> 18 [size =\"5598208\"]\n  16 -> 19 [size =\"5598208\"]\n  17 [size=\"74309632\", alpha=\"0.17\", expect_size=\"37154816\"] \n  17 -> 21 [size =\"37154816\"]\n  17 -> 22 [size =\"37154816\"]\n  17 -> 25 [size =\"37154816\"]\n  18 [size=\"54980608\", alpha=\"0.14\", expect_size=\"27490304\"] \n  18 -> 21 [size =\"27490304\"]\n  18 -> 22 [size =\"27490304\"]\n  18 -> 23 [size =\"27490304\"]\n  18 -> 25 [size =\"27490304\"]\n  19 [size=\"27353088\", alpha=\"0.16\", expect_size=\"13676544\"] \n  19 -> 21 [size =\"13676544\"]\n  19 -> 23 [size =\"13676544\"]\n  19 -> 23 [size =\"13676544\"]\n  19 -> 24 [size =\"13676544\"]\n  19 -> 25 [size =\"13676544\"]\n  20 [size=\"12537856\", alpha=\"0.02\", expect_size=\"6268928\"] \n  20 -> 21 [size =\"6268928\"]\n  20 -> 22 [size =\"6268928\"]\n  20 -> 23 [size =\"6268928\"]\n  20 -> 24 [size =\"6268928\"]\n  20 -> 25 [size =\"6268928\"]\n  21 [size=\"56133632\", alpha=\"0.13\", expect_size=\"28066816\"] \n  21 -> 26 [size =\"28066816\"]\n  21 -> 27 [size =\"28066816\"]\n  21 -> 28 [size =\"28066816\"]\n  21 -> 29 [size =\"28066816\"]\n  22 [size=\"20443136\", alpha=\"0.13\", expect_size=\"10221568\"] \n  22 -> 26 [size =\"10221568\"]\n  22 -> 27 [size =\"10221568\"]\n  23 [size=\"92557312\", alpha=\"0.07\", expect_size=\"46278656\"] \n  23 -> 26 [size =\"46278656\"]\n  23 -> 27 [size =\"46278656\"]\n  23 -> 28 [size =\"46278656\"]\n  24 [size=\"47007744\", alpha=\"0.11\", expect_size=\"23503872\"] \n  24 -> 26 [size =\"23503872\"]\n  24 -> 27 [size =\"23503872\"]\n  24 -> 28 [size =\"23503872\"]\n  24 -> 30 [size =\"23503872\"]\n  25 [size=\"99641344\", alpha=\"0.01\", expect_size=\"49820672\"] \n  25 -> 26 [size =\"49820672\"]\n  25 -> 27 [size =\"49820672\"]\n  25 -> 28 [size =\"49820672\"]\n  25 -> 29 [size =\"49820672\"]\n  26 [size=\"33761280\", alpha=\"0.04\", expect_size=\"16880640\"] \n  27 [size=\"46563328\", alpha=\"0.05\", expect_size=\"23281664\"] \n  28 [size=\"30896128\", alpha=\"0.01\", expect_size=\"15448064\"] \n  29 [size=\"97558528\", alpha=\"0.00\", expect_size=\"48779264\"] \n  30 [size=\"80160768\", alpha=\"0.07\", expect_size=\"40080384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95180800\", alpha=\"0.02\", expect_size=\"47590400\"] \n  1 -> 2 [size =\"47590400\"]\n  2 [size=\"18630656\", alpha=\"0.08\", expect_size=\"9315328\"] \n  2 -> 3 [size =\"9315328\"]\n  2 -> 4 [size =\"9315328\"]\n  3 [size=\"22781952\", alpha=\"0.18\", expect_size=\"11390976\"] \n  4 [size=\"11913216\", alpha=\"0.02\", expect_size=\"5956608\"] \n  4 -> 5 [size =\"5956608\"]\n  5 [size=\"18159616\", alpha=\"0.09\", expect_size=\"9079808\"] \n  5 -> 6 [size =\"9079808\"]\n  5 -> 7 [size =\"9079808\"]\n  6 [size=\"70119424\", alpha=\"0.14\", expect_size=\"35059712\"] \n  7 [size=\"11143168\", alpha=\"0.19\", expect_size=\"5571584\"] \n  7 -> 8 [size =\"5571584\"]\n  7 -> 9 [size =\"5571584\"]\n  8 [size=\"50057216\", alpha=\"0.13\", expect_size=\"25028608\"] \n  8 -> 10 [size =\"25028608\"]\n  9 [size=\"39544832\", alpha=\"0.05\", expect_size=\"19772416\"] \n  9 -> 10 [size =\"19772416\"]\n  10 [size=\"24346624\", alpha=\"0.16\", expect_size=\"12173312\"] \n  10 -> 11 [size =\"12173312\"]\n  11 [size=\"81348608\", alpha=\"0.04\", expect_size=\"40674304\"] \n  11 -> 12 [size =\"40674304\"]\n  12 [size=\"89622528\", alpha=\"0.17\", expect_size=\"44811264\"] \n  12 -> 13 [size =\"44811264\"]\n  13 [size=\"35031040\", alpha=\"0.01\", expect_size=\"17515520\"] \n  13 -> 14 [size =\"17515520\"]\n  14 [size=\"25182208\", alpha=\"0.00\", expect_size=\"12591104\"] \n  14 -> 15 [size =\"12591104\"]\n  14 -> 16 [size =\"12591104\"]\n  15 [size=\"33476608\", alpha=\"0.14\", expect_size=\"16738304\"] \n  15 -> 17 [size =\"16738304\"]\n  15 -> 18 [size =\"16738304\"]\n  16 [size=\"77400064\", alpha=\"0.20\", expect_size=\"38700032\"] \n  16 -> 17 [size =\"38700032\"]\n  16 -> 18 [size =\"38700032\"]\n  17 [size=\"49678336\", alpha=\"0.11\", expect_size=\"24839168\"] \n  17 -> 20 [size =\"24839168\"]\n  18 [size=\"45740032\", alpha=\"0.01\", expect_size=\"22870016\"] \n  18 -> 19 [size =\"22870016\"]\n  18 -> 20 [size =\"22870016\"]\n  19 [size=\"14379008\", alpha=\"0.16\", expect_size=\"7189504\"] \n  20 [size=\"37017600\", alpha=\"0.12\", expect_size=\"18508800\"] \n  20 -> 21 [size =\"18508800\"]\n  21 [size=\"16578560\", alpha=\"0.07\", expect_size=\"8289280\"] \n  21 -> 22 [size =\"8289280\"]\n  21 -> 23 [size =\"8289280\"]\n  22 [size=\"37799936\", alpha=\"0.03\", expect_size=\"18899968\"] \n  22 -> 25 [size =\"18899968\"]\n  23 [size=\"25061376\", alpha=\"0.02\", expect_size=\"12530688\"] \n  23 -> 24 [size =\"12530688\"]\n  23 -> 25 [size =\"12530688\"]\n  24 [size=\"31250432\", alpha=\"0.01\", expect_size=\"15625216\"] \n  24 -> 26 [size =\"15625216\"]\n  25 [size=\"33302528\", alpha=\"0.02\", expect_size=\"16651264\"] \n  25 -> 26 [size =\"16651264\"]\n  26 [size=\"101425152\", alpha=\"0.15\", expect_size=\"50712576\"] \n  26 -> 27 [size =\"50712576\"]\n  26 -> 28 [size =\"50712576\"]\n  27 [size=\"100110336\", alpha=\"0.09\", expect_size=\"50055168\"] \n  27 -> 29 [size =\"50055168\"]\n  27 -> 30 [size =\"50055168\"]\n  28 [size=\"55300096\", alpha=\"0.11\", expect_size=\"27650048\"] \n  28 -> 29 [size =\"27650048\"]\n  28 -> 30 [size =\"27650048\"]\n  29 [size=\"58638336\", alpha=\"0.19\", expect_size=\"29319168\"] \n  30 [size=\"38623232\", alpha=\"0.10\", expect_size=\"19311616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58454016\", alpha=\"0.10\", expect_size=\"29227008\"] \n  1 -> 20 [size =\"29227008\"]\n  1 -> 21 [size =\"29227008\"]\n  1 -> 25 [size =\"29227008\"]\n  1 -> 26 [size =\"29227008\"]\n  2 [size=\"100296704\", alpha=\"0.18\", expect_size=\"50148352\"] \n  2 -> 16 [size =\"50148352\"]\n  2 -> 25 [size =\"50148352\"]\n  2 -> 26 [size =\"50148352\"]\n  3 [size=\"96200704\", alpha=\"0.06\", expect_size=\"48100352\"] \n  3 -> 16 [size =\"48100352\"]\n  3 -> 18 [size =\"48100352\"]\n  3 -> 20 [size =\"48100352\"]\n  3 -> 27 [size =\"48100352\"]\n  4 [size=\"57362432\", alpha=\"0.04\", expect_size=\"28681216\"] \n  4 -> 18 [size =\"28681216\"]\n  4 -> 19 [size =\"28681216\"]\n  4 -> 21 [size =\"28681216\"]\n  4 -> 23 [size =\"28681216\"]\n  4 -> 24 [size =\"28681216\"]\n  5 [size=\"55177216\", alpha=\"0.12\", expect_size=\"27588608\"] \n  5 -> 16 [size =\"27588608\"]\n  5 -> 19 [size =\"27588608\"]\n  5 -> 21 [size =\"27588608\"]\n  5 -> 27 [size =\"27588608\"]\n  6 [size=\"96282624\", alpha=\"0.10\", expect_size=\"48141312\"] \n  6 -> 15 [size =\"48141312\"]\n  6 -> 19 [size =\"48141312\"]\n  6 -> 21 [size =\"48141312\"]\n  6 -> 27 [size =\"48141312\"]\n  7 [size=\"60094464\", alpha=\"0.16\", expect_size=\"30047232\"] \n  7 -> 15 [size =\"30047232\"]\n  7 -> 20 [size =\"30047232\"]\n  7 -> 21 [size =\"30047232\"]\n  7 -> 27 [size =\"30047232\"]\n  8 [size=\"17205248\", alpha=\"0.10\", expect_size=\"8602624\"] \n  8 -> 17 [size =\"8602624\"]\n  8 -> 21 [size =\"8602624\"]\n  8 -> 21 [size =\"8602624\"]\n  8 -> 24 [size =\"8602624\"]\n  8 -> 25 [size =\"8602624\"]\n  8 -> 26 [size =\"8602624\"]\n  9 [size=\"63213568\", alpha=\"0.02\", expect_size=\"31606784\"] \n  9 -> 24 [size =\"31606784\"]\n  9 -> 25 [size =\"31606784\"]\n  9 -> 26 [size =\"31606784\"]\n  10 [size=\"24639488\", alpha=\"0.20\", expect_size=\"12319744\"] \n  10 -> 15 [size =\"12319744\"]\n  10 -> 19 [size =\"12319744\"]\n  10 -> 20 [size =\"12319744\"]\n  10 -> 22 [size =\"12319744\"]\n  10 -> 24 [size =\"12319744\"]\n  10 -> 27 [size =\"12319744\"]\n  11 [size=\"104175616\", alpha=\"0.18\", expect_size=\"52087808\"] \n  11 -> 15 [size =\"52087808\"]\n  11 -> 24 [size =\"52087808\"]\n  12 [size=\"56813568\", alpha=\"0.07\", expect_size=\"28406784\"] \n  12 -> 15 [size =\"28406784\"]\n  12 -> 22 [size =\"28406784\"]\n  13 [size=\"45205504\", alpha=\"0.16\", expect_size=\"22602752\"] \n  13 -> 15 [size =\"22602752\"]\n  13 -> 16 [size =\"22602752\"]\n  13 -> 18 [size =\"22602752\"]\n  13 -> 20 [size =\"22602752\"]\n  13 -> 22 [size =\"22602752\"]\n  13 -> 24 [size =\"22602752\"]\n  14 [size=\"72032256\", alpha=\"0.15\", expect_size=\"36016128\"] \n  14 -> 16 [size =\"36016128\"]\n  15 [size=\"92129280\", alpha=\"0.19\", expect_size=\"46064640\"] \n  15 -> 29 [size =\"46064640\"]\n  16 [size=\"53389312\", alpha=\"0.07\", expect_size=\"26694656\"] \n  16 -> 29 [size =\"26694656\"]\n  17 [size=\"102852608\", alpha=\"0.06\", expect_size=\"51426304\"] \n  17 -> 30 [size =\"51426304\"]\n  18 [size=\"84617216\", alpha=\"0.03\", expect_size=\"42308608\"] \n  18 -> 29 [size =\"42308608\"]\n  18 -> 30 [size =\"42308608\"]\n  19 [size=\"39651328\", alpha=\"0.14\", expect_size=\"19825664\"] \n  20 [size=\"50116608\", alpha=\"0.03\", expect_size=\"25058304\"] \n  20 -> 28 [size =\"25058304\"]\n  20 -> 29 [size =\"25058304\"]\n  21 [size=\"49770496\", alpha=\"0.02\", expect_size=\"24885248\"] \n  22 [size=\"40951808\", alpha=\"0.20\", expect_size=\"20475904\"] \n  22 -> 30 [size =\"20475904\"]\n  23 [size=\"75048960\", alpha=\"0.16\", expect_size=\"37524480\"] \n  24 [size=\"54284288\", alpha=\"0.02\", expect_size=\"27142144\"] \n  24 -> 28 [size =\"27142144\"]\n  24 -> 29 [size =\"27142144\"]\n  25 [size=\"31328256\", alpha=\"0.18\", expect_size=\"15664128\"] \n  25 -> 28 [size =\"15664128\"]\n  26 [size=\"25683968\", alpha=\"0.12\", expect_size=\"12841984\"] \n  26 -> 28 [size =\"12841984\"]\n  27 [size=\"58259456\", alpha=\"0.16\", expect_size=\"29129728\"] \n  27 -> 30 [size =\"29129728\"]\n  28 [size=\"87613440\", alpha=\"0.02\", expect_size=\"43806720\"] \n  29 [size=\"102533120\", alpha=\"0.19\", expect_size=\"51266560\"] \n  30 [size=\"74127360\", alpha=\"0.18\", expect_size=\"37063680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18028544\", alpha=\"0.18\", expect_size=\"9014272\"] \n  1 -> 3 [size =\"9014272\"]\n  2 [size=\"63772672\", alpha=\"0.13\", expect_size=\"31886336\"] \n  2 -> 3 [size =\"31886336\"]\n  3 [size=\"19322880\", alpha=\"0.04\", expect_size=\"9661440\"] \n  3 -> 4 [size =\"9661440\"]\n  3 -> 5 [size =\"9661440\"]\n  4 [size=\"47034368\", alpha=\"0.03\", expect_size=\"23517184\"] \n  4 -> 6 [size =\"23517184\"]\n  5 [size=\"14211072\", alpha=\"0.00\", expect_size=\"7105536\"] \n  5 -> 7 [size =\"7105536\"]\n  6 [size=\"81315840\", alpha=\"0.17\", expect_size=\"40657920\"] \n  6 -> 8 [size =\"40657920\"]\n  6 -> 9 [size =\"40657920\"]\n  7 [size=\"56750080\", alpha=\"0.18\", expect_size=\"28375040\"] \n  7 -> 8 [size =\"28375040\"]\n  7 -> 9 [size =\"28375040\"]\n  8 [size=\"31191040\", alpha=\"0.06\", expect_size=\"15595520\"] \n  8 -> 10 [size =\"15595520\"]\n  9 [size=\"81315840\", alpha=\"0.06\", expect_size=\"40657920\"] \n  9 -> 10 [size =\"40657920\"]\n  9 -> 11 [size =\"40657920\"]\n  10 [size=\"66433024\", alpha=\"0.10\", expect_size=\"33216512\"] \n  10 -> 12 [size =\"33216512\"]\n  10 -> 13 [size =\"33216512\"]\n  11 [size=\"71235584\", alpha=\"0.09\", expect_size=\"35617792\"] \n  11 -> 12 [size =\"35617792\"]\n  11 -> 13 [size =\"35617792\"]\n  12 [size=\"60051456\", alpha=\"0.20\", expect_size=\"30025728\"] \n  12 -> 14 [size =\"30025728\"]\n  13 [size=\"28104704\", alpha=\"0.12\", expect_size=\"14052352\"] \n  14 [size=\"45365248\", alpha=\"0.12\", expect_size=\"22682624\"] \n  14 -> 15 [size =\"22682624\"]\n  15 [size=\"58714112\", alpha=\"0.19\", expect_size=\"29357056\"] \n  15 -> 16 [size =\"29357056\"]\n  15 -> 17 [size =\"29357056\"]\n  16 [size=\"59797504\", alpha=\"0.04\", expect_size=\"29898752\"] \n  16 -> 18 [size =\"29898752\"]\n  17 [size=\"47097856\", alpha=\"0.16\", expect_size=\"23548928\"] \n  17 -> 18 [size =\"23548928\"]\n  18 [size=\"39227392\", alpha=\"0.10\", expect_size=\"19613696\"] \n  18 -> 19 [size =\"19613696\"]\n  19 [size=\"69572608\", alpha=\"0.17\", expect_size=\"34786304\"] \n  19 -> 20 [size =\"34786304\"]\n  19 -> 21 [size =\"34786304\"]\n  20 [size=\"97216512\", alpha=\"0.08\", expect_size=\"48608256\"] \n  20 -> 22 [size =\"48608256\"]\n  20 -> 23 [size =\"48608256\"]\n  21 [size=\"52160512\", alpha=\"0.01\", expect_size=\"26080256\"] \n  21 -> 22 [size =\"26080256\"]\n  21 -> 23 [size =\"26080256\"]\n  22 [size=\"95356928\", alpha=\"0.06\", expect_size=\"47678464\"] \n  22 -> 24 [size =\"47678464\"]\n  22 -> 25 [size =\"47678464\"]\n  23 [size=\"95074304\", alpha=\"0.12\", expect_size=\"47537152\"] \n  23 -> 24 [size =\"47537152\"]\n  23 -> 25 [size =\"47537152\"]\n  24 [size=\"56442880\", alpha=\"0.06\", expect_size=\"28221440\"] \n  24 -> 26 [size =\"28221440\"]\n  24 -> 27 [size =\"28221440\"]\n  25 [size=\"19552256\", alpha=\"0.01\", expect_size=\"9776128\"] \n  25 -> 27 [size =\"9776128\"]\n  26 [size=\"13414400\", alpha=\"0.11\", expect_size=\"6707200\"] \n  26 -> 28 [size =\"6707200\"]\n  27 [size=\"32483328\", alpha=\"0.10\", expect_size=\"16241664\"] \n  27 -> 28 [size =\"16241664\"]\n  28 [size=\"12128256\", alpha=\"0.14\", expect_size=\"6064128\"] \n  28 -> 29 [size =\"6064128\"]\n  29 [size=\"58376192\", alpha=\"0.14\", expect_size=\"29188096\"] \n  29 -> 30 [size =\"29188096\"]\n  30 [size=\"42579968\", alpha=\"0.04\", expect_size=\"21289984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77575680\", alpha=\"0.12\", expect_size=\"31030272\"] \n  1 -> 5 [size =\"31030272\"]\n  2 [size=\"64985600\", alpha=\"0.16\", expect_size=\"25994240\"] \n  2 -> 4 [size =\"25994240\"]\n  2 -> 5 [size =\"25994240\"]\n  2 -> 6 [size =\"25994240\"]\n  2 -> 8 [size =\"25994240\"]\n  3 [size=\"81899520\", alpha=\"0.18\", expect_size=\"32759808\"] \n  3 -> 7 [size =\"32759808\"]\n  4 [size=\"78028800\", alpha=\"0.16\", expect_size=\"31211520\"] \n  4 -> 10 [size =\"31211520\"]\n  4 -> 11 [size =\"31211520\"]\n  5 [size=\"40640000\", alpha=\"0.03\", expect_size=\"16256000\"] \n  5 -> 11 [size =\"16256000\"]\n  5 -> 14 [size =\"16256000\"]\n  6 [size=\"116625920\", alpha=\"0.01\", expect_size=\"46650368\"] \n  6 -> 13 [size =\"46650368\"]\n  7 [size=\"109045760\", alpha=\"0.19\", expect_size=\"43618304\"] \n  7 -> 9 [size =\"43618304\"]\n  7 -> 14 [size =\"43618304\"]\n  8 [size=\"40885760\", alpha=\"0.08\", expect_size=\"16354304\"] \n  8 -> 10 [size =\"16354304\"]\n  8 -> 12 [size =\"16354304\"]\n  9 [size=\"55040000\", alpha=\"0.07\", expect_size=\"22016000\"] \n  9 -> 15 [size =\"22016000\"]\n  9 -> 16 [size =\"22016000\"]\n  9 -> 17 [size =\"22016000\"]\n  10 [size=\"72880640\", alpha=\"0.16\", expect_size=\"29152256\"] \n  11 [size=\"34777600\", alpha=\"0.15\", expect_size=\"13911040\"] \n  11 -> 15 [size =\"13911040\"]\n  11 -> 16 [size =\"13911040\"]\n  11 -> 17 [size =\"13911040\"]\n  12 [size=\"103372800\", alpha=\"0.08\", expect_size=\"41349120\"] \n  12 -> 17 [size =\"41349120\"]\n  13 [size=\"80240640\", alpha=\"0.12\", expect_size=\"32096256\"] \n  13 -> 16 [size =\"32096256\"]\n  14 [size=\"68234240\", alpha=\"0.04\", expect_size=\"27293696\"] \n  15 [size=\"44866560\", alpha=\"0.08\", expect_size=\"17946624\"] \n  15 -> 18 [size =\"17946624\"]\n  15 -> 19 [size =\"17946624\"]\n  15 -> 20 [size =\"17946624\"]\n  16 [size=\"61568000\", alpha=\"0.19\", expect_size=\"24627200\"] \n  16 -> 19 [size =\"24627200\"]\n  16 -> 21 [size =\"24627200\"]\n  17 [size=\"66168320\", alpha=\"0.18\", expect_size=\"26467328\"] \n  17 -> 18 [size =\"26467328\"]\n  17 -> 20 [size =\"26467328\"]\n  18 [size=\"61406720\", alpha=\"0.12\", expect_size=\"24562688\"] \n  18 -> 22 [size =\"24562688\"]\n  18 -> 24 [size =\"24562688\"]\n  19 [size=\"107806720\", alpha=\"0.01\", expect_size=\"43122688\"] \n  20 [size=\"30295040\", alpha=\"0.16\", expect_size=\"12118016\"] \n  20 -> 23 [size =\"12118016\"]\n  20 -> 24 [size =\"12118016\"]\n  20 -> 25 [size =\"12118016\"]\n  21 [size=\"122823680\", alpha=\"0.02\", expect_size=\"49129472\"] \n  21 -> 22 [size =\"49129472\"]\n  22 [size=\"96186880\", alpha=\"0.16\", expect_size=\"38474752\"] \n  22 -> 27 [size =\"38474752\"]\n  22 -> 29 [size =\"38474752\"]\n  23 [size=\"23559680\", alpha=\"0.02\", expect_size=\"9423872\"] \n  23 -> 26 [size =\"9423872\"]\n  24 [size=\"92311040\", alpha=\"0.20\", expect_size=\"36924416\"] \n  24 -> 27 [size =\"36924416\"]\n  24 -> 28 [size =\"36924416\"]\n  24 -> 30 [size =\"36924416\"]\n  25 [size=\"116316160\", alpha=\"0.01\", expect_size=\"46526464\"] \n  25 -> 26 [size =\"46526464\"]\n  26 [size=\"42634240\", alpha=\"0.01\", expect_size=\"17053696\"] \n  27 [size=\"34132480\", alpha=\"0.16\", expect_size=\"13652992\"] \n  28 [size=\"19399680\", alpha=\"0.17\", expect_size=\"7759872\"] \n  29 [size=\"92369920\", alpha=\"0.04\", expect_size=\"36947968\"] \n  30 [size=\"101181440\", alpha=\"0.01\", expect_size=\"40472576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19471360\", alpha=\"0.03\", expect_size=\"7788544\"] \n  2 [size=\"58168320\", alpha=\"0.03\", expect_size=\"23267328\"] \n  3 [size=\"24857600\", alpha=\"0.09\", expect_size=\"9943040\"] \n  3 -> 26 [size =\"9943040\"]\n  3 -> 29 [size =\"9943040\"]\n  4 [size=\"64135680\", alpha=\"0.04\", expect_size=\"25654272\"] \n  4 -> 26 [size =\"25654272\"]\n  4 -> 28 [size =\"25654272\"]\n  4 -> 29 [size =\"25654272\"]\n  5 [size=\"34368000\", alpha=\"0.18\", expect_size=\"13747200\"] \n  5 -> 28 [size =\"13747200\"]\n  5 -> 29 [size =\"13747200\"]\n  6 [size=\"89500160\", alpha=\"0.01\", expect_size=\"35800064\"] \n  6 -> 28 [size =\"35800064\"]\n  7 [size=\"109232640\", alpha=\"0.16\", expect_size=\"43693056\"] \n  8 [size=\"106647040\", alpha=\"0.05\", expect_size=\"42658816\"] \n  8 -> 26 [size =\"42658816\"]\n  9 [size=\"115120640\", alpha=\"0.08\", expect_size=\"46048256\"] \n  10 [size=\"56655360\", alpha=\"0.05\", expect_size=\"22662144\"] \n  10 -> 26 [size =\"22662144\"]\n  11 [size=\"120202240\", alpha=\"0.01\", expect_size=\"48080896\"] \n  12 [size=\"19650560\", alpha=\"0.09\", expect_size=\"7860224\"] \n  12 -> 26 [size =\"7860224\"]\n  13 [size=\"35760640\", alpha=\"0.14\", expect_size=\"14304256\"] \n  13 -> 26 [size =\"14304256\"]\n  13 -> 29 [size =\"14304256\"]\n  14 [size=\"89879040\", alpha=\"0.06\", expect_size=\"35951616\"] \n  14 -> 29 [size =\"35951616\"]\n  14 -> 30 [size =\"35951616\"]\n  15 [size=\"111912960\", alpha=\"0.02\", expect_size=\"44765184\"] \n  16 [size=\"101726720\", alpha=\"0.06\", expect_size=\"40690688\"] \n  17 [size=\"108474880\", alpha=\"0.01\", expect_size=\"43389952\"] \n  17 -> 26 [size =\"43389952\"]\n  17 -> 29 [size =\"43389952\"]\n  18 [size=\"82908160\", alpha=\"0.01\", expect_size=\"33163264\"] \n  18 -> 26 [size =\"33163264\"]\n  19 [size=\"114984960\", alpha=\"0.08\", expect_size=\"45993984\"] \n  19 -> 26 [size =\"45993984\"]\n  19 -> 28 [size =\"45993984\"]\n  20 [size=\"46617600\", alpha=\"0.00\", expect_size=\"18647040\"] \n  20 -> 28 [size =\"18647040\"]\n  20 -> 29 [size =\"18647040\"]\n  21 [size=\"76922880\", alpha=\"0.14\", expect_size=\"30769152\"] \n  21 -> 27 [size =\"30769152\"]\n  21 -> 28 [size =\"30769152\"]\n  22 [size=\"82577920\", alpha=\"0.15\", expect_size=\"33031168\"] \n  23 [size=\"17269760\", alpha=\"0.18\", expect_size=\"6907904\"] \n  24 [size=\"99420160\", alpha=\"0.10\", expect_size=\"39768064\"] \n  24 -> 26 [size =\"39768064\"]\n  24 -> 29 [size =\"39768064\"]\n  25 [size=\"17064960\", alpha=\"0.05\", expect_size=\"6825984\"] \n  25 -> 29 [size =\"6825984\"]\n  26 [size=\"30983680\", alpha=\"0.14\", expect_size=\"12393472\"] \n  27 [size=\"66920960\", alpha=\"0.18\", expect_size=\"26768384\"] \n  28 [size=\"73123840\", alpha=\"0.19\", expect_size=\"29249536\"] \n  29 [size=\"78809600\", alpha=\"0.17\", expect_size=\"31523840\"] \n  30 [size=\"125478400\", alpha=\"0.02\", expect_size=\"50191360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74542080\", alpha=\"0.13\", expect_size=\"29816832\"] \n  1 -> 12 [size =\"29816832\"]\n  1 -> 13 [size =\"29816832\"]\n  1 -> 14 [size =\"29816832\"]\n  1 -> 16 [size =\"29816832\"]\n  2 [size=\"99532800\", alpha=\"0.19\", expect_size=\"39813120\"] \n  2 -> 12 [size =\"39813120\"]\n  2 -> 13 [size =\"39813120\"]\n  2 -> 14 [size =\"39813120\"]\n  2 -> 17 [size =\"39813120\"]\n  3 [size=\"129277440\", alpha=\"0.08\", expect_size=\"51710976\"] \n  3 -> 12 [size =\"51710976\"]\n  3 -> 13 [size =\"51710976\"]\n  3 -> 14 [size =\"51710976\"]\n  3 -> 16 [size =\"51710976\"]\n  3 -> 17 [size =\"51710976\"]\n  3 -> 18 [size =\"51710976\"]\n  4 [size=\"107325440\", alpha=\"0.05\", expect_size=\"42930176\"] \n  4 -> 11 [size =\"42930176\"]\n  4 -> 12 [size =\"42930176\"]\n  4 -> 13 [size =\"42930176\"]\n  4 -> 14 [size =\"42930176\"]\n  4 -> 16 [size =\"42930176\"]\n  4 -> 17 [size =\"42930176\"]\n  5 [size=\"46932480\", alpha=\"0.12\", expect_size=\"18772992\"] \n  5 -> 12 [size =\"18772992\"]\n  5 -> 13 [size =\"18772992\"]\n  5 -> 14 [size =\"18772992\"]\n  5 -> 15 [size =\"18772992\"]\n  5 -> 16 [size =\"18772992\"]\n  5 -> 17 [size =\"18772992\"]\n  5 -> 19 [size =\"18772992\"]\n  6 [size=\"59415040\", alpha=\"0.17\", expect_size=\"23766016\"] \n  6 -> 12 [size =\"23766016\"]\n  6 -> 13 [size =\"23766016\"]\n  6 -> 15 [size =\"23766016\"]\n  6 -> 16 [size =\"23766016\"]\n  6 -> 19 [size =\"23766016\"]\n  7 [size=\"37017600\", alpha=\"0.19\", expect_size=\"14807040\"] \n  7 -> 15 [size =\"14807040\"]\n  7 -> 16 [size =\"14807040\"]\n  7 -> 17 [size =\"14807040\"]\n  8 [size=\"42232320\", alpha=\"0.15\", expect_size=\"16892928\"] \n  8 -> 12 [size =\"16892928\"]\n  8 -> 15 [size =\"16892928\"]\n  8 -> 16 [size =\"16892928\"]\n  9 [size=\"27834880\", alpha=\"0.18\", expect_size=\"11133952\"] \n  9 -> 12 [size =\"11133952\"]\n  9 -> 13 [size =\"11133952\"]\n  9 -> 14 [size =\"11133952\"]\n  9 -> 16 [size =\"11133952\"]\n  9 -> 19 [size =\"11133952\"]\n  10 [size=\"93516800\", alpha=\"0.01\", expect_size=\"37406720\"] \n  10 -> 12 [size =\"37406720\"]\n  10 -> 13 [size =\"37406720\"]\n  10 -> 14 [size =\"37406720\"]\n  10 -> 15 [size =\"37406720\"]\n  10 -> 16 [size =\"37406720\"]\n  11 [size=\"26928640\", alpha=\"0.17\", expect_size=\"10771456\"] \n  11 -> 21 [size =\"10771456\"]\n  11 -> 22 [size =\"10771456\"]\n  11 -> 25 [size =\"10771456\"]\n  12 [size=\"100730880\", alpha=\"0.02\", expect_size=\"40292352\"] \n  12 -> 20 [size =\"40292352\"]\n  12 -> 24 [size =\"40292352\"]\n  12 -> 25 [size =\"40292352\"]\n  12 -> 26 [size =\"40292352\"]\n  13 [size=\"91955200\", alpha=\"0.07\", expect_size=\"36782080\"] \n  13 -> 21 [size =\"36782080\"]\n  13 -> 24 [size =\"36782080\"]\n  13 -> 26 [size =\"36782080\"]\n  14 [size=\"23016960\", alpha=\"0.01\", expect_size=\"9206784\"] \n  14 -> 21 [size =\"9206784\"]\n  14 -> 24 [size =\"9206784\"]\n  14 -> 25 [size =\"9206784\"]\n  14 -> 26 [size =\"9206784\"]\n  15 [size=\"51860480\", alpha=\"0.14\", expect_size=\"20744192\"] \n  15 -> 20 [size =\"20744192\"]\n  15 -> 21 [size =\"20744192\"]\n  15 -> 23 [size =\"20744192\"]\n  15 -> 26 [size =\"20744192\"]\n  16 [size=\"120780800\", alpha=\"0.04\", expect_size=\"48312320\"] \n  16 -> 20 [size =\"48312320\"]\n  16 -> 21 [size =\"48312320\"]\n  16 -> 23 [size =\"48312320\"]\n  16 -> 24 [size =\"48312320\"]\n  16 -> 26 [size =\"48312320\"]\n  17 [size=\"105438720\", alpha=\"0.15\", expect_size=\"42175488\"] \n  17 -> 20 [size =\"42175488\"]\n  17 -> 21 [size =\"42175488\"]\n  17 -> 23 [size =\"42175488\"]\n  17 -> 24 [size =\"42175488\"]\n  17 -> 26 [size =\"42175488\"]\n  18 [size=\"102046720\", alpha=\"0.11\", expect_size=\"40818688\"] \n  18 -> 20 [size =\"40818688\"]\n  18 -> 21 [size =\"40818688\"]\n  18 -> 23 [size =\"40818688\"]\n  18 -> 24 [size =\"40818688\"]\n  18 -> 26 [size =\"40818688\"]\n  19 [size=\"73541120\", alpha=\"0.11\", expect_size=\"29416448\"] \n  19 -> 20 [size =\"29416448\"]\n  19 -> 21 [size =\"29416448\"]\n  19 -> 23 [size =\"29416448\"]\n  19 -> 24 [size =\"29416448\"]\n  19 -> 25 [size =\"29416448\"]\n  19 -> 26 [size =\"29416448\"]\n  20 [size=\"59095040\", alpha=\"0.19\", expect_size=\"23638016\"] \n  20 -> 27 [size =\"23638016\"]\n  20 -> 28 [size =\"23638016\"]\n  20 -> 29 [size =\"23638016\"]\n  20 -> 30 [size =\"23638016\"]\n  21 [size=\"64017920\", alpha=\"0.17\", expect_size=\"25607168\"] \n  21 -> 28 [size =\"25607168\"]\n  22 [size=\"48837120\", alpha=\"0.10\", expect_size=\"19534848\"] \n  22 -> 28 [size =\"19534848\"]\n  22 -> 29 [size =\"19534848\"]\n  22 -> 30 [size =\"19534848\"]\n  23 [size=\"59338240\", alpha=\"0.03\", expect_size=\"23735296\"] \n  23 -> 27 [size =\"23735296\"]\n  23 -> 28 [size =\"23735296\"]\n  23 -> 30 [size =\"23735296\"]\n  24 [size=\"101086720\", alpha=\"0.11\", expect_size=\"40434688\"] \n  24 -> 27 [size =\"40434688\"]\n  24 -> 28 [size =\"40434688\"]\n  25 [size=\"104330240\", alpha=\"0.06\", expect_size=\"41732096\"] \n  25 -> 28 [size =\"41732096\"]\n  26 [size=\"70801920\", alpha=\"0.08\", expect_size=\"28320768\"] \n  26 -> 27 [size =\"28320768\"]\n  26 -> 28 [size =\"28320768\"]\n  26 -> 30 [size =\"28320768\"]\n  27 [size=\"93191680\", alpha=\"0.14\", expect_size=\"37276672\"] \n  28 [size=\"62768640\", alpha=\"0.05\", expect_size=\"25107456\"] \n  29 [size=\"127262720\", alpha=\"0.19\", expect_size=\"50905088\"] \n  30 [size=\"76252160\", alpha=\"0.06\", expect_size=\"30500864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109790720\", alpha=\"0.12\", expect_size=\"43916288\"] \n  1 -> 8 [size =\"43916288\"]\n  1 -> 9 [size =\"43916288\"]\n  2 [size=\"13120000\", alpha=\"0.14\", expect_size=\"5248000\"] \n  2 -> 7 [size =\"5248000\"]\n  2 -> 8 [size =\"5248000\"]\n  3 [size=\"60055040\", alpha=\"0.03\", expect_size=\"24022016\"] \n  3 -> 10 [size =\"24022016\"]\n  4 [size=\"30208000\", alpha=\"0.19\", expect_size=\"12083200\"] \n  4 -> 6 [size =\"12083200\"]\n  4 -> 7 [size =\"12083200\"]\n  4 -> 9 [size =\"12083200\"]\n  4 -> 10 [size =\"12083200\"]\n  5 [size=\"96903680\", alpha=\"0.19\", expect_size=\"38761472\"] \n  5 -> 6 [size =\"38761472\"]\n  5 -> 7 [size =\"38761472\"]\n  5 -> 10 [size =\"38761472\"]\n  6 [size=\"25067520\", alpha=\"0.18\", expect_size=\"10027008\"] \n  6 -> 11 [size =\"10027008\"]\n  6 -> 12 [size =\"10027008\"]\n  7 [size=\"36375040\", alpha=\"0.03\", expect_size=\"14550016\"] \n  7 -> 11 [size =\"14550016\"]\n  7 -> 13 [size =\"14550016\"]\n  8 [size=\"107484160\", alpha=\"0.12\", expect_size=\"42993664\"] \n  9 [size=\"80529920\", alpha=\"0.17\", expect_size=\"32211968\"] \n  9 -> 14 [size =\"32211968\"]\n  10 [size=\"89169920\", alpha=\"0.03\", expect_size=\"35667968\"] \n  10 -> 12 [size =\"35667968\"]\n  11 [size=\"70837760\", alpha=\"0.09\", expect_size=\"28335104\"] \n  11 -> 15 [size =\"28335104\"]\n  11 -> 17 [size =\"28335104\"]\n  12 [size=\"22612480\", alpha=\"0.11\", expect_size=\"9044992\"] \n  12 -> 18 [size =\"9044992\"]\n  13 [size=\"106795520\", alpha=\"0.14\", expect_size=\"42718208\"] \n  13 -> 16 [size =\"42718208\"]\n  13 -> 18 [size =\"42718208\"]\n  14 [size=\"125452800\", alpha=\"0.08\", expect_size=\"50181120\"] \n  14 -> 17 [size =\"50181120\"]\n  15 [size=\"121195520\", alpha=\"0.10\", expect_size=\"48478208\"] \n  16 [size=\"117683200\", alpha=\"0.06\", expect_size=\"47073280\"] \n  16 -> 21 [size =\"47073280\"]\n  16 -> 22 [size =\"47073280\"]\n  16 -> 23 [size =\"47073280\"]\n  17 [size=\"108305920\", alpha=\"0.10\", expect_size=\"43322368\"] \n  17 -> 19 [size =\"43322368\"]\n  17 -> 22 [size =\"43322368\"]\n  18 [size=\"124503040\", alpha=\"0.13\", expect_size=\"49801216\"] \n  18 -> 19 [size =\"49801216\"]\n  18 -> 20 [size =\"49801216\"]\n  19 [size=\"76725760\", alpha=\"0.09\", expect_size=\"30690304\"] \n  20 [size=\"60369920\", alpha=\"0.04\", expect_size=\"24147968\"] \n  21 [size=\"75571200\", alpha=\"0.14\", expect_size=\"30228480\"] \n  22 [size=\"129026560\", alpha=\"0.05\", expect_size=\"51610624\"] \n  22 -> 25 [size =\"51610624\"]\n  22 -> 26 [size =\"51610624\"]\n  23 [size=\"74368000\", alpha=\"0.04\", expect_size=\"29747200\"] \n  23 -> 24 [size =\"29747200\"]\n  23 -> 26 [size =\"29747200\"]\n  23 -> 27 [size =\"29747200\"]\n  24 [size=\"37491200\", alpha=\"0.05\", expect_size=\"14996480\"] \n  24 -> 29 [size =\"14996480\"]\n  25 [size=\"84323840\", alpha=\"0.01\", expect_size=\"33729536\"] \n  25 -> 29 [size =\"33729536\"]\n  26 [size=\"26211840\", alpha=\"0.19\", expect_size=\"10484736\"] \n  26 -> 28 [size =\"10484736\"]\n  26 -> 30 [size =\"10484736\"]\n  27 [size=\"60666880\", alpha=\"0.00\", expect_size=\"24266752\"] \n  27 -> 28 [size =\"24266752\"]\n  28 [size=\"120207360\", alpha=\"0.18\", expect_size=\"48082944\"] \n  29 [size=\"77719040\", alpha=\"0.07\", expect_size=\"31087616\"] \n  30 [size=\"14963200\", alpha=\"0.09\", expect_size=\"5985280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53296640\", alpha=\"0.16\", expect_size=\"21318656\"] \n  1 -> 2 [size =\"21318656\"]\n  2 [size=\"38448640\", alpha=\"0.01\", expect_size=\"15379456\"] \n  2 -> 3 [size =\"15379456\"]\n  3 [size=\"122447360\", alpha=\"0.09\", expect_size=\"48978944\"] \n  3 -> 4 [size =\"48978944\"]\n  4 [size=\"56225280\", alpha=\"0.20\", expect_size=\"22490112\"] \n  4 -> 5 [size =\"22490112\"]\n  5 [size=\"104732160\", alpha=\"0.10\", expect_size=\"41892864\"] \n  5 -> 6 [size =\"41892864\"]\n  6 [size=\"62082560\", alpha=\"0.10\", expect_size=\"24833024\"] \n  6 -> 7 [size =\"24833024\"]\n  7 [size=\"31810560\", alpha=\"0.01\", expect_size=\"12724224\"] \n  7 -> 8 [size =\"12724224\"]\n  8 [size=\"62612480\", alpha=\"0.01\", expect_size=\"25044992\"] \n  8 -> 9 [size =\"25044992\"]\n  9 [size=\"125593600\", alpha=\"0.04\", expect_size=\"50237440\"] \n  9 -> 10 [size =\"50237440\"]\n  10 [size=\"24163840\", alpha=\"0.04\", expect_size=\"9665536\"] \n  10 -> 11 [size =\"9665536\"]\n  11 [size=\"115233280\", alpha=\"0.04\", expect_size=\"46093312\"] \n  11 -> 12 [size =\"46093312\"]\n  12 [size=\"90780160\", alpha=\"0.08\", expect_size=\"36312064\"] \n  12 -> 13 [size =\"36312064\"]\n  13 [size=\"96519680\", alpha=\"0.13\", expect_size=\"38607872\"] \n  13 -> 14 [size =\"38607872\"]\n  14 [size=\"32857600\", alpha=\"0.14\", expect_size=\"13143040\"] \n  14 -> 15 [size =\"13143040\"]\n  15 [size=\"30712320\", alpha=\"0.15\", expect_size=\"12284928\"] \n  15 -> 16 [size =\"12284928\"]\n  16 [size=\"88079360\", alpha=\"0.18\", expect_size=\"35231744\"] \n  16 -> 17 [size =\"35231744\"]\n  17 [size=\"28874240\", alpha=\"0.07\", expect_size=\"11549696\"] \n  17 -> 18 [size =\"11549696\"]\n  18 [size=\"33192960\", alpha=\"0.09\", expect_size=\"13277184\"] \n  18 -> 19 [size =\"13277184\"]\n  19 [size=\"38983680\", alpha=\"0.18\", expect_size=\"15593472\"] \n  19 -> 20 [size =\"15593472\"]\n  20 [size=\"63961600\", alpha=\"0.09\", expect_size=\"25584640\"] \n  20 -> 21 [size =\"25584640\"]\n  21 [size=\"88168960\", alpha=\"0.06\", expect_size=\"35267584\"] \n  21 -> 22 [size =\"35267584\"]\n  22 [size=\"110443520\", alpha=\"0.07\", expect_size=\"44177408\"] \n  22 -> 23 [size =\"44177408\"]\n  23 [size=\"38279680\", alpha=\"0.07\", expect_size=\"15311872\"] \n  23 -> 24 [size =\"15311872\"]\n  24 [size=\"115811840\", alpha=\"0.14\", expect_size=\"46324736\"] \n  24 -> 25 [size =\"46324736\"]\n  25 [size=\"79280640\", alpha=\"0.17\", expect_size=\"31712256\"] \n  25 -> 26 [size =\"31712256\"]\n  26 [size=\"49080320\", alpha=\"0.08\", expect_size=\"19632128\"] \n  26 -> 27 [size =\"19632128\"]\n  27 [size=\"34972160\", alpha=\"0.02\", expect_size=\"13988864\"] \n  27 -> 28 [size =\"13988864\"]\n  28 [size=\"79055360\", alpha=\"0.04\", expect_size=\"31622144\"] \n  28 -> 29 [size =\"31622144\"]\n  29 [size=\"14602240\", alpha=\"0.06\", expect_size=\"5840896\"] \n  29 -> 30 [size =\"5840896\"]\n  30 [size=\"123458560\", alpha=\"0.09\", expect_size=\"49383424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16832512\", alpha=\"0.05\", expect_size=\"8416256\"] \n  1 -> 2 [size =\"8416256\"]\n  2 [size=\"14788608\", alpha=\"0.17\", expect_size=\"7394304\"] \n  2 -> 3 [size =\"7394304\"]\n  3 [size=\"76361728\", alpha=\"0.17\", expect_size=\"38180864\"] \n  3 -> 4 [size =\"38180864\"]\n  4 [size=\"80906240\", alpha=\"0.08\", expect_size=\"40453120\"] \n  4 -> 5 [size =\"40453120\"]\n  5 [size=\"102924288\", alpha=\"0.00\", expect_size=\"51462144\"] \n  5 -> 6 [size =\"51462144\"]\n  6 [size=\"67039232\", alpha=\"0.18\", expect_size=\"33519616\"] \n  6 -> 7 [size =\"33519616\"]\n  7 [size=\"92493824\", alpha=\"0.05\", expect_size=\"46246912\"] \n  7 -> 8 [size =\"46246912\"]\n  8 [size=\"36182016\", alpha=\"0.03\", expect_size=\"18091008\"] \n  8 -> 9 [size =\"18091008\"]\n  9 [size=\"14782464\", alpha=\"0.06\", expect_size=\"7391232\"] \n  9 -> 10 [size =\"7391232\"]\n  10 [size=\"67291136\", alpha=\"0.09\", expect_size=\"33645568\"] \n  10 -> 11 [size =\"33645568\"]\n  11 [size=\"57460736\", alpha=\"0.07\", expect_size=\"28730368\"] \n  11 -> 12 [size =\"28730368\"]\n  12 [size=\"80304128\", alpha=\"0.01\", expect_size=\"40152064\"] \n  12 -> 13 [size =\"40152064\"]\n  13 [size=\"67598336\", alpha=\"0.12\", expect_size=\"33799168\"] \n  13 -> 14 [size =\"33799168\"]\n  14 [size=\"54972416\", alpha=\"0.11\", expect_size=\"27486208\"] \n  14 -> 15 [size =\"27486208\"]\n  15 [size=\"93247488\", alpha=\"0.07\", expect_size=\"46623744\"] \n  15 -> 16 [size =\"46623744\"]\n  16 [size=\"94412800\", alpha=\"0.02\", expect_size=\"47206400\"] \n  16 -> 17 [size =\"47206400\"]\n  17 [size=\"83640320\", alpha=\"0.03\", expect_size=\"41820160\"] \n  17 -> 18 [size =\"41820160\"]\n  18 [size=\"12498944\", alpha=\"0.07\", expect_size=\"6249472\"] \n  18 -> 19 [size =\"6249472\"]\n  19 [size=\"27791360\", alpha=\"0.18\", expect_size=\"13895680\"] \n  19 -> 20 [size =\"13895680\"]\n  20 [size=\"54263808\", alpha=\"0.18\", expect_size=\"27131904\"] \n  20 -> 21 [size =\"27131904\"]\n  21 [size=\"97263616\", alpha=\"0.19\", expect_size=\"48631808\"] \n  21 -> 22 [size =\"48631808\"]\n  22 [size=\"34674688\", alpha=\"0.01\", expect_size=\"17337344\"] \n  22 -> 23 [size =\"17337344\"]\n  23 [size=\"41551872\", alpha=\"0.16\", expect_size=\"20775936\"] \n  23 -> 24 [size =\"20775936\"]\n  24 [size=\"98103296\", alpha=\"0.07\", expect_size=\"49051648\"] \n  24 -> 25 [size =\"49051648\"]\n  25 [size=\"56334336\", alpha=\"0.18\", expect_size=\"28167168\"] \n  25 -> 26 [size =\"28167168\"]\n  26 [size=\"88121344\", alpha=\"0.20\", expect_size=\"44060672\"] \n  26 -> 27 [size =\"44060672\"]\n  27 [size=\"99059712\", alpha=\"0.20\", expect_size=\"49529856\"] \n  27 -> 28 [size =\"49529856\"]\n  28 [size=\"17477632\", alpha=\"0.05\", expect_size=\"8738816\"] \n  28 -> 29 [size =\"8738816\"]\n  29 [size=\"50221056\", alpha=\"0.11\", expect_size=\"25110528\"] \n  29 -> 30 [size =\"25110528\"]\n  30 [size=\"41070592\", alpha=\"0.09\", expect_size=\"20535296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110178987\", alpha=\"0.02\", expect_size=\"33053696\"] \n  1 -> 6 [size =\"33053696\"]\n  1 -> 7 [size =\"33053696\"]\n  1 -> 9 [size =\"33053696\"]\n  2 [size=\"26381653\", alpha=\"0.02\", expect_size=\"7914496\"] \n  2 -> 8 [size =\"7914496\"]\n  3 [size=\"50264747\", alpha=\"0.08\", expect_size=\"15079424\"] \n  3 -> 7 [size =\"15079424\"]\n  3 -> 8 [size =\"15079424\"]\n  4 [size=\"54388053\", alpha=\"0.13\", expect_size=\"16316416\"] \n  4 -> 7 [size =\"16316416\"]\n  4 -> 8 [size =\"16316416\"]\n  4 -> 9 [size =\"16316416\"]\n  5 [size=\"124719787\", alpha=\"0.06\", expect_size=\"37415936\"] \n  5 -> 6 [size =\"37415936\"]\n  5 -> 9 [size =\"37415936\"]\n  6 [size=\"67682987\", alpha=\"0.16\", expect_size=\"20304896\"] \n  6 -> 10 [size =\"20304896\"]\n  6 -> 11 [size =\"20304896\"]\n  6 -> 12 [size =\"20304896\"]\n  7 [size=\"107864747\", alpha=\"0.06\", expect_size=\"32359424\"] \n  7 -> 10 [size =\"32359424\"]\n  8 [size=\"152364373\", alpha=\"0.16\", expect_size=\"45709312\"] \n  8 -> 10 [size =\"45709312\"]\n  8 -> 13 [size =\"45709312\"]\n  8 -> 14 [size =\"45709312\"]\n  9 [size=\"140195840\", alpha=\"0.08\", expect_size=\"42058752\"] \n  9 -> 12 [size =\"42058752\"]\n  10 [size=\"60757333\", alpha=\"0.09\", expect_size=\"18227200\"] \n  10 -> 15 [size =\"18227200\"]\n  11 [size=\"141301760\", alpha=\"0.03\", expect_size=\"42390528\"] \n  11 -> 15 [size =\"42390528\"]\n  11 -> 17 [size =\"42390528\"]\n  12 [size=\"157170347\", alpha=\"0.14\", expect_size=\"47151104\"] \n  12 -> 17 [size =\"47151104\"]\n  13 [size=\"19316053\", alpha=\"0.16\", expect_size=\"5794816\"] \n  13 -> 16 [size =\"5794816\"]\n  13 -> 17 [size =\"5794816\"]\n  13 -> 18 [size =\"5794816\"]\n  14 [size=\"85135360\", alpha=\"0.12\", expect_size=\"25540608\"] \n  14 -> 15 [size =\"25540608\"]\n  15 [size=\"26385067\", alpha=\"0.03\", expect_size=\"7915520\"] \n  15 -> 20 [size =\"7915520\"]\n  16 [size=\"73509547\", alpha=\"0.03\", expect_size=\"22052864\"] \n  16 -> 23 [size =\"22052864\"]\n  17 [size=\"42502827\", alpha=\"0.02\", expect_size=\"12750848\"] \n  17 -> 20 [size =\"12750848\"]\n  17 -> 21 [size =\"12750848\"]\n  17 -> 22 [size =\"12750848\"]\n  18 [size=\"92180480\", alpha=\"0.13\", expect_size=\"27654144\"] \n  18 -> 19 [size =\"27654144\"]\n  18 -> 20 [size =\"27654144\"]\n  18 -> 21 [size =\"27654144\"]\n  19 [size=\"60310187\", alpha=\"0.06\", expect_size=\"18093056\"] \n  19 -> 25 [size =\"18093056\"]\n  19 -> 27 [size =\"18093056\"]\n  20 [size=\"120108373\", alpha=\"0.20\", expect_size=\"36032512\"] \n  20 -> 25 [size =\"36032512\"]\n  20 -> 26 [size =\"36032512\"]\n  20 -> 27 [size =\"36032512\"]\n  21 [size=\"37242880\", alpha=\"0.05\", expect_size=\"11172864\"] \n  21 -> 24 [size =\"11172864\"]\n  22 [size=\"57835520\", alpha=\"0.12\", expect_size=\"17350656\"] \n  22 -> 26 [size =\"17350656\"]\n  23 [size=\"165775360\", alpha=\"0.02\", expect_size=\"49732608\"] \n  23 -> 26 [size =\"49732608\"]\n  23 -> 27 [size =\"49732608\"]\n  24 [size=\"132276907\", alpha=\"0.18\", expect_size=\"39683072\"] \n  24 -> 29 [size =\"39683072\"]\n  25 [size=\"66618027\", alpha=\"0.07\", expect_size=\"19985408\"] \n  25 -> 28 [size =\"19985408\"]\n  25 -> 30 [size =\"19985408\"]\n  26 [size=\"86630400\", alpha=\"0.02\", expect_size=\"25989120\"] \n  27 [size=\"108434773\", alpha=\"0.09\", expect_size=\"32530432\"] \n  28 [size=\"125672107\", alpha=\"0.13\", expect_size=\"37701632\"] \n  29 [size=\"67024213\", alpha=\"0.13\", expect_size=\"20107264\"] \n  30 [size=\"116712107\", alpha=\"0.18\", expect_size=\"35013632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36582400\", alpha=\"0.05\", expect_size=\"14632960\"] \n  1 -> 3 [size =\"14632960\"]\n  2 [size=\"44390400\", alpha=\"0.01\", expect_size=\"17756160\"] \n  3 [size=\"119787520\", alpha=\"0.11\", expect_size=\"47915008\"] \n  3 -> 4 [size =\"47915008\"]\n  4 [size=\"91179520\", alpha=\"0.04\", expect_size=\"36471808\"] \n  4 -> 5 [size =\"36471808\"]\n  4 -> 6 [size =\"36471808\"]\n  5 [size=\"91256320\", alpha=\"0.17\", expect_size=\"36502528\"] \n  5 -> 7 [size =\"36502528\"]\n  5 -> 8 [size =\"36502528\"]\n  6 [size=\"74977280\", alpha=\"0.12\", expect_size=\"29990912\"] \n  6 -> 8 [size =\"29990912\"]\n  7 [size=\"96701440\", alpha=\"0.17\", expect_size=\"38680576\"] \n  7 -> 9 [size =\"38680576\"]\n  7 -> 10 [size =\"38680576\"]\n  8 [size=\"47296000\", alpha=\"0.16\", expect_size=\"18918400\"] \n  8 -> 10 [size =\"18918400\"]\n  9 [size=\"25912320\", alpha=\"0.13\", expect_size=\"10364928\"] \n  10 [size=\"38405120\", alpha=\"0.13\", expect_size=\"15362048\"] \n  10 -> 11 [size =\"15362048\"]\n  10 -> 12 [size =\"15362048\"]\n  11 [size=\"99169280\", alpha=\"0.01\", expect_size=\"39667712\"] \n  11 -> 13 [size =\"39667712\"]\n  12 [size=\"127040000\", alpha=\"0.07\", expect_size=\"50816000\"] \n  12 -> 13 [size =\"50816000\"]\n  13 [size=\"14607360\", alpha=\"0.11\", expect_size=\"5842944\"] \n  13 -> 14 [size =\"5842944\"]\n  14 [size=\"80529920\", alpha=\"0.12\", expect_size=\"32211968\"] \n  14 -> 15 [size =\"32211968\"]\n  15 [size=\"104261120\", alpha=\"0.17\", expect_size=\"41704448\"] \n  15 -> 16 [size =\"41704448\"]\n  15 -> 17 [size =\"41704448\"]\n  16 [size=\"85376000\", alpha=\"0.13\", expect_size=\"34150400\"] \n  16 -> 18 [size =\"34150400\"]\n  17 [size=\"35617280\", alpha=\"0.14\", expect_size=\"14246912\"] \n  17 -> 18 [size =\"14246912\"]\n  18 [size=\"18321920\", alpha=\"0.02\", expect_size=\"7328768\"] \n  18 -> 19 [size =\"7328768\"]\n  18 -> 20 [size =\"7328768\"]\n  19 [size=\"110978560\", alpha=\"0.13\", expect_size=\"44391424\"] \n  19 -> 21 [size =\"44391424\"]\n  19 -> 22 [size =\"44391424\"]\n  20 [size=\"67356160\", alpha=\"0.20\", expect_size=\"26942464\"] \n  20 -> 22 [size =\"26942464\"]\n  21 [size=\"26250240\", alpha=\"0.11\", expect_size=\"10500096\"] \n  21 -> 23 [size =\"10500096\"]\n  22 [size=\"34472960\", alpha=\"0.07\", expect_size=\"13789184\"] \n  23 [size=\"75028480\", alpha=\"0.02\", expect_size=\"30011392\"] \n  23 -> 24 [size =\"30011392\"]\n  23 -> 25 [size =\"30011392\"]\n  24 [size=\"23713280\", alpha=\"0.10\", expect_size=\"9485312\"] \n  24 -> 26 [size =\"9485312\"]\n  25 [size=\"95848960\", alpha=\"0.11\", expect_size=\"38339584\"] \n  25 -> 26 [size =\"38339584\"]\n  26 [size=\"78074880\", alpha=\"0.02\", expect_size=\"31229952\"] \n  26 -> 27 [size =\"31229952\"]\n  26 -> 28 [size =\"31229952\"]\n  27 [size=\"33912320\", alpha=\"0.08\", expect_size=\"13564928\"] \n  27 -> 29 [size =\"13564928\"]\n  28 [size=\"113571840\", alpha=\"0.19\", expect_size=\"45428736\"] \n  28 -> 29 [size =\"45428736\"]\n  29 [size=\"126507520\", alpha=\"0.13\", expect_size=\"50603008\"] \n  29 -> 30 [size =\"50603008\"]\n  30 [size=\"83407360\", alpha=\"0.11\", expect_size=\"33362944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39526400\", alpha=\"0.09\", expect_size=\"15810560\"] \n  1 -> 12 [size =\"15810560\"]\n  1 -> 17 [size =\"15810560\"]\n  2 [size=\"103549440\", alpha=\"0.19\", expect_size=\"41419776\"] \n  2 -> 11 [size =\"41419776\"]\n  2 -> 12 [size =\"41419776\"]\n  2 -> 14 [size =\"41419776\"]\n  2 -> 15 [size =\"41419776\"]\n  2 -> 16 [size =\"41419776\"]\n  2 -> 18 [size =\"41419776\"]\n  2 -> 19 [size =\"41419776\"]\n  3 [size=\"23825920\", alpha=\"0.04\", expect_size=\"9530368\"] \n  3 -> 10 [size =\"9530368\"]\n  3 -> 11 [size =\"9530368\"]\n  3 -> 14 [size =\"9530368\"]\n  3 -> 16 [size =\"9530368\"]\n  3 -> 19 [size =\"9530368\"]\n  4 [size=\"120565760\", alpha=\"0.05\", expect_size=\"48226304\"] \n  4 -> 10 [size =\"48226304\"]\n  4 -> 11 [size =\"48226304\"]\n  4 -> 13 [size =\"48226304\"]\n  4 -> 14 [size =\"48226304\"]\n  5 [size=\"66813440\", alpha=\"0.08\", expect_size=\"26725376\"] \n  5 -> 10 [size =\"26725376\"]\n  5 -> 11 [size =\"26725376\"]\n  5 -> 18 [size =\"26725376\"]\n  6 [size=\"51079680\", alpha=\"0.00\", expect_size=\"20431872\"] \n  6 -> 10 [size =\"20431872\"]\n  6 -> 11 [size =\"20431872\"]\n  6 -> 12 [size =\"20431872\"]\n  6 -> 15 [size =\"20431872\"]\n  6 -> 18 [size =\"20431872\"]\n  7 [size=\"86410240\", alpha=\"0.14\", expect_size=\"34564096\"] \n  7 -> 11 [size =\"34564096\"]\n  7 -> 12 [size =\"34564096\"]\n  7 -> 14 [size =\"34564096\"]\n  7 -> 16 [size =\"34564096\"]\n  7 -> 17 [size =\"34564096\"]\n  7 -> 18 [size =\"34564096\"]\n  7 -> 19 [size =\"34564096\"]\n  8 [size=\"128793600\", alpha=\"0.12\", expect_size=\"51517440\"] \n  8 -> 12 [size =\"51517440\"]\n  8 -> 14 [size =\"51517440\"]\n  8 -> 16 [size =\"51517440\"]\n  8 -> 16 [size =\"51517440\"]\n  8 -> 17 [size =\"51517440\"]\n  8 -> 19 [size =\"51517440\"]\n  9 [size=\"97320960\", alpha=\"0.05\", expect_size=\"38928384\"] \n  9 -> 11 [size =\"38928384\"]\n  9 -> 12 [size =\"38928384\"]\n  9 -> 15 [size =\"38928384\"]\n  9 -> 19 [size =\"38928384\"]\n  10 [size=\"20994560\", alpha=\"0.01\", expect_size=\"8397824\"] \n  10 -> 22 [size =\"8397824\"]\n  10 -> 24 [size =\"8397824\"]\n  10 -> 29 [size =\"8397824\"]\n  11 [size=\"112023040\", alpha=\"0.00\", expect_size=\"44809216\"] \n  11 -> 21 [size =\"44809216\"]\n  11 -> 25 [size =\"44809216\"]\n  11 -> 27 [size =\"44809216\"]\n  12 [size=\"47354880\", alpha=\"0.08\", expect_size=\"18941952\"] \n  12 -> 20 [size =\"18941952\"]\n  12 -> 21 [size =\"18941952\"]\n  12 -> 22 [size =\"18941952\"]\n  12 -> 23 [size =\"18941952\"]\n  12 -> 28 [size =\"18941952\"]\n  12 -> 29 [size =\"18941952\"]\n  13 [size=\"39631360\", alpha=\"0.12\", expect_size=\"15852544\"] \n  13 -> 23 [size =\"15852544\"]\n  13 -> 24 [size =\"15852544\"]\n  13 -> 27 [size =\"15852544\"]\n  14 [size=\"65937920\", alpha=\"0.13\", expect_size=\"26375168\"] \n  14 -> 21 [size =\"26375168\"]\n  14 -> 26 [size =\"26375168\"]\n  14 -> 28 [size =\"26375168\"]\n  15 [size=\"95480320\", alpha=\"0.10\", expect_size=\"38192128\"] \n  15 -> 20 [size =\"38192128\"]\n  15 -> 25 [size =\"38192128\"]\n  15 -> 27 [size =\"38192128\"]\n  15 -> 28 [size =\"38192128\"]\n  16 [size=\"23761920\", alpha=\"0.17\", expect_size=\"9504768\"] \n  16 -> 21 [size =\"9504768\"]\n  16 -> 24 [size =\"9504768\"]\n  16 -> 25 [size =\"9504768\"]\n  16 -> 28 [size =\"9504768\"]\n  16 -> 29 [size =\"9504768\"]\n  17 [size=\"24755200\", alpha=\"0.17\", expect_size=\"9902080\"] \n  17 -> 23 [size =\"9902080\"]\n  17 -> 26 [size =\"9902080\"]\n  17 -> 28 [size =\"9902080\"]\n  17 -> 29 [size =\"9902080\"]\n  18 [size=\"108771840\", alpha=\"0.03\", expect_size=\"43508736\"] \n  18 -> 20 [size =\"43508736\"]\n  18 -> 26 [size =\"43508736\"]\n  18 -> 28 [size =\"43508736\"]\n  19 [size=\"60149760\", alpha=\"0.08\", expect_size=\"24059904\"] \n  19 -> 20 [size =\"24059904\"]\n  19 -> 21 [size =\"24059904\"]\n  19 -> 23 [size =\"24059904\"]\n  19 -> 24 [size =\"24059904\"]\n  19 -> 27 [size =\"24059904\"]\n  19 -> 28 [size =\"24059904\"]\n  20 [size=\"89676800\", alpha=\"0.10\", expect_size=\"35870720\"] \n  20 -> 30 [size =\"35870720\"]\n  21 [size=\"94671360\", alpha=\"0.16\", expect_size=\"37868544\"] \n  21 -> 30 [size =\"37868544\"]\n  22 [size=\"96688640\", alpha=\"0.18\", expect_size=\"38675456\"] \n  22 -> 30 [size =\"38675456\"]\n  23 [size=\"25341440\", alpha=\"0.01\", expect_size=\"10136576\"] \n  23 -> 30 [size =\"10136576\"]\n  24 [size=\"95682560\", alpha=\"0.03\", expect_size=\"38273024\"] \n  25 [size=\"55738880\", alpha=\"0.14\", expect_size=\"22295552\"] \n  26 [size=\"116083200\", alpha=\"0.11\", expect_size=\"46433280\"] \n  26 -> 30 [size =\"46433280\"]\n  27 [size=\"97536000\", alpha=\"0.00\", expect_size=\"39014400\"] \n  27 -> 30 [size =\"39014400\"]\n  28 [size=\"78082560\", alpha=\"0.10\", expect_size=\"31233024\"] \n  29 [size=\"94676480\", alpha=\"0.13\", expect_size=\"37870592\"] \n  30 [size=\"24826880\", alpha=\"0.18\", expect_size=\"9930752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22394880\", alpha=\"0.15\", expect_size=\"11197440\"] \n  1 -> 3 [size =\"11197440\"]\n  2 [size=\"74842112\", alpha=\"0.05\", expect_size=\"37421056\"] \n  3 [size=\"103968768\", alpha=\"0.18\", expect_size=\"51984384\"] \n  3 -> 4 [size =\"51984384\"]\n  4 [size=\"104421376\", alpha=\"0.01\", expect_size=\"52210688\"] \n  4 -> 5 [size =\"52210688\"]\n  5 [size=\"47665152\", alpha=\"0.13\", expect_size=\"23832576\"] \n  5 -> 6 [size =\"23832576\"]\n  5 -> 7 [size =\"23832576\"]\n  6 [size=\"87091200\", alpha=\"0.00\", expect_size=\"43545600\"] \n  6 -> 8 [size =\"43545600\"]\n  7 [size=\"86192128\", alpha=\"0.02\", expect_size=\"43096064\"] \n  7 -> 8 [size =\"43096064\"]\n  8 [size=\"88684544\", alpha=\"0.03\", expect_size=\"44342272\"] \n  8 -> 9 [size =\"44342272\"]\n  8 -> 10 [size =\"44342272\"]\n  9 [size=\"46215168\", alpha=\"0.19\", expect_size=\"23107584\"] \n  9 -> 11 [size =\"23107584\"]\n  10 [size=\"82128896\", alpha=\"0.02\", expect_size=\"41064448\"] \n  10 -> 11 [size =\"41064448\"]\n  11 [size=\"80062464\", alpha=\"0.03\", expect_size=\"40031232\"] \n  11 -> 12 [size =\"40031232\"]\n  11 -> 13 [size =\"40031232\"]\n  12 [size=\"55257088\", alpha=\"0.02\", expect_size=\"27628544\"] \n  12 -> 14 [size =\"27628544\"]\n  13 [size=\"76802048\", alpha=\"0.10\", expect_size=\"38401024\"] \n  13 -> 14 [size =\"38401024\"]\n  14 [size=\"67270656\", alpha=\"0.10\", expect_size=\"33635328\"] \n  14 -> 15 [size =\"33635328\"]\n  15 [size=\"71825408\", alpha=\"0.18\", expect_size=\"35912704\"] \n  15 -> 16 [size =\"35912704\"]\n  16 [size=\"38039552\", alpha=\"0.20\", expect_size=\"19019776\"] \n  16 -> 17 [size =\"19019776\"]\n  17 [size=\"38137856\", alpha=\"0.03\", expect_size=\"19068928\"] \n  17 -> 18 [size =\"19068928\"]\n  18 [size=\"48893952\", alpha=\"0.08\", expect_size=\"24446976\"] \n  18 -> 19 [size =\"24446976\"]\n  18 -> 20 [size =\"24446976\"]\n  19 [size=\"61407232\", alpha=\"0.06\", expect_size=\"30703616\"] \n  19 -> 21 [size =\"30703616\"]\n  19 -> 22 [size =\"30703616\"]\n  20 [size=\"57300992\", alpha=\"0.19\", expect_size=\"28650496\"] \n  20 -> 21 [size =\"28650496\"]\n  20 -> 22 [size =\"28650496\"]\n  21 [size=\"67596288\", alpha=\"0.16\", expect_size=\"33798144\"] \n  21 -> 23 [size =\"33798144\"]\n  21 -> 24 [size =\"33798144\"]\n  22 [size=\"81289216\", alpha=\"0.06\", expect_size=\"40644608\"] \n  22 -> 23 [size =\"40644608\"]\n  23 [size=\"90327040\", alpha=\"0.15\", expect_size=\"45163520\"] \n  23 -> 25 [size =\"45163520\"]\n  24 [size=\"43984896\", alpha=\"0.05\", expect_size=\"21992448\"] \n  24 -> 25 [size =\"21992448\"]\n  25 [size=\"90714112\", alpha=\"0.02\", expect_size=\"45357056\"] \n  25 -> 26 [size =\"45357056\"]\n  25 -> 27 [size =\"45357056\"]\n  26 [size=\"81012736\", alpha=\"0.16\", expect_size=\"40506368\"] \n  27 [size=\"78907392\", alpha=\"0.06\", expect_size=\"39453696\"] \n  27 -> 28 [size =\"39453696\"]\n  28 [size=\"94711808\", alpha=\"0.12\", expect_size=\"47355904\"] \n  28 -> 29 [size =\"47355904\"]\n  28 -> 30 [size =\"47355904\"]\n  29 [size=\"37056512\", alpha=\"0.06\", expect_size=\"18528256\"] \n  30 [size=\"64186368\", alpha=\"0.15\", expect_size=\"32093184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35061760\", alpha=\"0.14\", expect_size=\"10518528\"] \n  1 -> 6 [size =\"10518528\"]\n  1 -> 7 [size =\"10518528\"]\n  2 [size=\"113254400\", alpha=\"0.06\", expect_size=\"33976320\"] \n  2 -> 6 [size =\"33976320\"]\n  3 [size=\"72905387\", alpha=\"0.16\", expect_size=\"21871616\"] \n  3 -> 7 [size =\"21871616\"]\n  3 -> 8 [size =\"21871616\"]\n  4 [size=\"123549013\", alpha=\"0.02\", expect_size=\"37064704\"] \n  4 -> 5 [size =\"37064704\"]\n  5 [size=\"124334080\", alpha=\"0.14\", expect_size=\"37300224\"] \n  5 -> 10 [size =\"37300224\"]\n  5 -> 12 [size =\"37300224\"]\n  6 [size=\"33853440\", alpha=\"0.18\", expect_size=\"10156032\"] \n  6 -> 9 [size =\"10156032\"]\n  6 -> 10 [size =\"10156032\"]\n  6 -> 11 [size =\"10156032\"]\n  7 [size=\"157450240\", alpha=\"0.07\", expect_size=\"47235072\"] \n  7 -> 9 [size =\"47235072\"]\n  7 -> 11 [size =\"47235072\"]\n  7 -> 11 [size =\"47235072\"]\n  8 [size=\"106154667\", alpha=\"0.11\", expect_size=\"31846400\"] \n  8 -> 9 [size =\"31846400\"]\n  8 -> 10 [size =\"31846400\"]\n  9 [size=\"155081387\", alpha=\"0.20\", expect_size=\"46524416\"] \n  9 -> 13 [size =\"46524416\"]\n  9 -> 14 [size =\"46524416\"]\n  10 [size=\"75376640\", alpha=\"0.10\", expect_size=\"22612992\"] \n  10 -> 15 [size =\"22612992\"]\n  11 [size=\"71546880\", alpha=\"0.14\", expect_size=\"21464064\"] \n  11 -> 14 [size =\"21464064\"]\n  12 [size=\"21268480\", alpha=\"0.04\", expect_size=\"6380544\"] \n  12 -> 13 [size =\"6380544\"]\n  12 -> 16 [size =\"6380544\"]\n  13 [size=\"71478613\", alpha=\"0.20\", expect_size=\"21443584\"] \n  13 -> 17 [size =\"21443584\"]\n  13 -> 19 [size =\"21443584\"]\n  14 [size=\"39495680\", alpha=\"0.19\", expect_size=\"11848704\"] \n  14 -> 17 [size =\"11848704\"]\n  14 -> 21 [size =\"11848704\"]\n  15 [size=\"58941440\", alpha=\"0.06\", expect_size=\"17682432\"] \n  15 -> 18 [size =\"17682432\"]\n  15 -> 19 [size =\"17682432\"]\n  16 [size=\"166621867\", alpha=\"0.19\", expect_size=\"49986560\"] \n  16 -> 20 [size =\"49986560\"]\n  17 [size=\"150681600\", alpha=\"0.09\", expect_size=\"45204480\"] \n  18 [size=\"51425280\", alpha=\"0.05\", expect_size=\"15427584\"] \n  18 -> 24 [size =\"15427584\"]\n  19 [size=\"136154453\", alpha=\"0.05\", expect_size=\"40846336\"] \n  20 [size=\"133707093\", alpha=\"0.06\", expect_size=\"40112128\"] \n  20 -> 22 [size =\"40112128\"]\n  20 -> 23 [size =\"40112128\"]\n  20 -> 24 [size =\"40112128\"]\n  20 -> 25 [size =\"40112128\"]\n  21 [size=\"55985493\", alpha=\"0.08\", expect_size=\"16795648\"] \n  21 -> 23 [size =\"16795648\"]\n  21 -> 24 [size =\"16795648\"]\n  21 -> 25 [size =\"16795648\"]\n  21 -> 26 [size =\"16795648\"]\n  22 [size=\"162464427\", alpha=\"0.03\", expect_size=\"48739328\"] \n  23 [size=\"32863573\", alpha=\"0.04\", expect_size=\"9859072\"] \n  23 -> 27 [size =\"9859072\"]\n  23 -> 29 [size =\"9859072\"]\n  24 [size=\"30842880\", alpha=\"0.19\", expect_size=\"9252864\"] \n  25 [size=\"19749547\", alpha=\"0.08\", expect_size=\"5924864\"] \n  25 -> 29 [size =\"5924864\"]\n  25 -> 30 [size =\"5924864\"]\n  26 [size=\"63962453\", alpha=\"0.19\", expect_size=\"19188736\"] \n  26 -> 27 [size =\"19188736\"]\n  26 -> 28 [size =\"19188736\"]\n  27 [size=\"53661013\", alpha=\"0.07\", expect_size=\"16098304\"] \n  28 [size=\"125726720\", alpha=\"0.07\", expect_size=\"37718016\"] \n  29 [size=\"165768533\", alpha=\"0.05\", expect_size=\"49730560\"] \n  30 [size=\"50428587\", alpha=\"0.09\", expect_size=\"15128576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83514027\", alpha=\"0.01\", expect_size=\"25054208\"] \n  1 -> 2 [size =\"25054208\"]\n  1 -> 3 [size =\"25054208\"]\n  2 [size=\"91275947\", alpha=\"0.05\", expect_size=\"27382784\"] \n  2 -> 4 [size =\"27382784\"]\n  3 [size=\"32583680\", alpha=\"0.10\", expect_size=\"9775104\"] \n  3 -> 4 [size =\"9775104\"]\n  4 [size=\"24517973\", alpha=\"0.02\", expect_size=\"7355392\"] \n  4 -> 5 [size =\"7355392\"]\n  4 -> 6 [size =\"7355392\"]\n  5 [size=\"149459627\", alpha=\"0.15\", expect_size=\"44837888\"] \n  5 -> 7 [size =\"44837888\"]\n  6 [size=\"65959253\", alpha=\"0.11\", expect_size=\"19787776\"] \n  6 -> 7 [size =\"19787776\"]\n  6 -> 8 [size =\"19787776\"]\n  7 [size=\"32696320\", alpha=\"0.09\", expect_size=\"9808896\"] \n  7 -> 9 [size =\"9808896\"]\n  7 -> 10 [size =\"9808896\"]\n  8 [size=\"135557120\", alpha=\"0.02\", expect_size=\"40667136\"] \n  8 -> 9 [size =\"40667136\"]\n  8 -> 10 [size =\"40667136\"]\n  9 [size=\"91412480\", alpha=\"0.17\", expect_size=\"27423744\"] \n  9 -> 11 [size =\"27423744\"]\n  10 [size=\"161204907\", alpha=\"0.18\", expect_size=\"48361472\"] \n  10 -> 11 [size =\"48361472\"]\n  10 -> 12 [size =\"48361472\"]\n  11 [size=\"42571093\", alpha=\"0.06\", expect_size=\"12771328\"] \n  11 -> 13 [size =\"12771328\"]\n  11 -> 14 [size =\"12771328\"]\n  12 [size=\"52865707\", alpha=\"0.05\", expect_size=\"15859712\"] \n  12 -> 13 [size =\"15859712\"]\n  12 -> 14 [size =\"15859712\"]\n  13 [size=\"94528853\", alpha=\"0.06\", expect_size=\"28358656\"] \n  13 -> 15 [size =\"28358656\"]\n  13 -> 16 [size =\"28358656\"]\n  14 [size=\"172202667\", alpha=\"0.17\", expect_size=\"51660800\"] \n  14 -> 15 [size =\"51660800\"]\n  14 -> 16 [size =\"51660800\"]\n  15 [size=\"34362027\", alpha=\"0.15\", expect_size=\"10308608\"] \n  15 -> 17 [size =\"10308608\"]\n  15 -> 18 [size =\"10308608\"]\n  16 [size=\"152855893\", alpha=\"0.10\", expect_size=\"45856768\"] \n  16 -> 18 [size =\"45856768\"]\n  17 [size=\"83333120\", alpha=\"0.04\", expect_size=\"24999936\"] \n  17 -> 19 [size =\"24999936\"]\n  17 -> 20 [size =\"24999936\"]\n  18 [size=\"155306667\", alpha=\"0.16\", expect_size=\"46592000\"] \n  18 -> 19 [size =\"46592000\"]\n  19 [size=\"169953280\", alpha=\"0.15\", expect_size=\"50985984\"] \n  19 -> 21 [size =\"50985984\"]\n  19 -> 22 [size =\"50985984\"]\n  20 [size=\"142438400\", alpha=\"0.08\", expect_size=\"42731520\"] \n  20 -> 21 [size =\"42731520\"]\n  20 -> 22 [size =\"42731520\"]\n  21 [size=\"128617813\", alpha=\"0.10\", expect_size=\"38585344\"] \n  21 -> 23 [size =\"38585344\"]\n  22 [size=\"18991787\", alpha=\"0.01\", expect_size=\"5697536\"] \n  22 -> 23 [size =\"5697536\"]\n  23 [size=\"59508053\", alpha=\"0.14\", expect_size=\"17852416\"] \n  23 -> 24 [size =\"17852416\"]\n  23 -> 25 [size =\"17852416\"]\n  24 [size=\"105198933\", alpha=\"0.08\", expect_size=\"31559680\"] \n  24 -> 26 [size =\"31559680\"]\n  25 [size=\"79865173\", alpha=\"0.19\", expect_size=\"23959552\"] \n  26 [size=\"40659627\", alpha=\"0.15\", expect_size=\"12197888\"] \n  26 -> 27 [size =\"12197888\"]\n  26 -> 28 [size =\"12197888\"]\n  27 [size=\"120388267\", alpha=\"0.14\", expect_size=\"36116480\"] \n  27 -> 29 [size =\"36116480\"]\n  28 [size=\"154439680\", alpha=\"0.08\", expect_size=\"46331904\"] \n  28 -> 29 [size =\"46331904\"]\n  29 [size=\"125259093\", alpha=\"0.11\", expect_size=\"37577728\"] \n  29 -> 30 [size =\"37577728\"]\n  30 [size=\"83418453\", alpha=\"0.13\", expect_size=\"25025536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53364736\", alpha=\"0.06\", expect_size=\"26682368\"] \n  1 -> 6 [size =\"26682368\"]\n  1 -> 8 [size =\"26682368\"]\n  1 -> 8 [size =\"26682368\"]\n  2 [size=\"23511040\", alpha=\"0.07\", expect_size=\"11755520\"] \n  2 -> 5 [size =\"11755520\"]\n  2 -> 6 [size =\"11755520\"]\n  2 -> 7 [size =\"11755520\"]\n  3 [size=\"22689792\", alpha=\"0.12\", expect_size=\"11344896\"] \n  3 -> 7 [size =\"11344896\"]\n  4 [size=\"76111872\", alpha=\"0.04\", expect_size=\"38055936\"] \n  4 -> 6 [size =\"38055936\"]\n  4 -> 7 [size =\"38055936\"]\n  4 -> 8 [size =\"38055936\"]\n  5 [size=\"56330240\", alpha=\"0.15\", expect_size=\"28165120\"] \n  5 -> 9 [size =\"28165120\"]\n  5 -> 11 [size =\"28165120\"]\n  5 -> 12 [size =\"28165120\"]\n  5 -> 13 [size =\"28165120\"]\n  6 [size=\"53186560\", alpha=\"0.13\", expect_size=\"26593280\"] \n  6 -> 10 [size =\"26593280\"]\n  6 -> 11 [size =\"26593280\"]\n  6 -> 13 [size =\"26593280\"]\n  7 [size=\"97454080\", alpha=\"0.18\", expect_size=\"48727040\"] \n  7 -> 9 [size =\"48727040\"]\n  7 -> 13 [size =\"48727040\"]\n  8 [size=\"68243456\", alpha=\"0.05\", expect_size=\"34121728\"] \n  8 -> 9 [size =\"34121728\"]\n  8 -> 10 [size =\"34121728\"]\n  8 -> 12 [size =\"34121728\"]\n  9 [size=\"95739904\", alpha=\"0.15\", expect_size=\"47869952\"] \n  9 -> 14 [size =\"47869952\"]\n  9 -> 16 [size =\"47869952\"]\n  9 -> 18 [size =\"47869952\"]\n  10 [size=\"53997568\", alpha=\"0.02\", expect_size=\"26998784\"] \n  10 -> 14 [size =\"26998784\"]\n  10 -> 16 [size =\"26998784\"]\n  10 -> 17 [size =\"26998784\"]\n  10 -> 18 [size =\"26998784\"]\n  11 [size=\"44773376\", alpha=\"0.04\", expect_size=\"22386688\"] \n  11 -> 15 [size =\"22386688\"]\n  11 -> 16 [size =\"22386688\"]\n  11 -> 17 [size =\"22386688\"]\n  11 -> 18 [size =\"22386688\"]\n  12 [size=\"71239680\", alpha=\"0.11\", expect_size=\"35619840\"] \n  12 -> 14 [size =\"35619840\"]\n  12 -> 15 [size =\"35619840\"]\n  12 -> 16 [size =\"35619840\"]\n  12 -> 17 [size =\"35619840\"]\n  12 -> 18 [size =\"35619840\"]\n  13 [size=\"102991872\", alpha=\"0.02\", expect_size=\"51495936\"] \n  13 -> 14 [size =\"51495936\"]\n  13 -> 15 [size =\"51495936\"]\n  13 -> 16 [size =\"51495936\"]\n  13 -> 17 [size =\"51495936\"]\n  13 -> 18 [size =\"51495936\"]\n  14 [size=\"65081344\", alpha=\"0.10\", expect_size=\"32540672\"] \n  14 -> 21 [size =\"32540672\"]\n  14 -> 21 [size =\"32540672\"]\n  15 [size=\"81653760\", alpha=\"0.03\", expect_size=\"40826880\"] \n  15 -> 19 [size =\"40826880\"]\n  15 -> 22 [size =\"40826880\"]\n  16 [size=\"56891392\", alpha=\"0.03\", expect_size=\"28445696\"] \n  16 -> 19 [size =\"28445696\"]\n  16 -> 20 [size =\"28445696\"]\n  17 [size=\"23353344\", alpha=\"0.06\", expect_size=\"11676672\"] \n  17 -> 19 [size =\"11676672\"]\n  18 [size=\"12576768\", alpha=\"0.17\", expect_size=\"6288384\"] \n  18 -> 19 [size =\"6288384\"]\n  18 -> 21 [size =\"6288384\"]\n  19 [size=\"34533376\", alpha=\"0.17\", expect_size=\"17266688\"] \n  19 -> 23 [size =\"17266688\"]\n  19 -> 24 [size =\"17266688\"]\n  20 [size=\"104169472\", alpha=\"0.07\", expect_size=\"52084736\"] \n  20 -> 23 [size =\"52084736\"]\n  21 [size=\"19152896\", alpha=\"0.06\", expect_size=\"9576448\"] \n  21 -> 23 [size =\"9576448\"]\n  21 -> 24 [size =\"9576448\"]\n  21 -> 26 [size =\"9576448\"]\n  22 [size=\"38318080\", alpha=\"0.07\", expect_size=\"19159040\"] \n  22 -> 23 [size =\"19159040\"]\n  22 -> 24 [size =\"19159040\"]\n  22 -> 25 [size =\"19159040\"]\n  22 -> 26 [size =\"19159040\"]\n  23 [size=\"90851328\", alpha=\"0.11\", expect_size=\"45425664\"] \n  23 -> 27 [size =\"45425664\"]\n  23 -> 28 [size =\"45425664\"]\n  23 -> 29 [size =\"45425664\"]\n  23 -> 30 [size =\"45425664\"]\n  24 [size=\"99753984\", alpha=\"0.10\", expect_size=\"49876992\"] \n  24 -> 28 [size =\"49876992\"]\n  24 -> 30 [size =\"49876992\"]\n  25 [size=\"53446656\", alpha=\"0.17\", expect_size=\"26723328\"] \n  25 -> 28 [size =\"26723328\"]\n  25 -> 30 [size =\"26723328\"]\n  26 [size=\"66633728\", alpha=\"0.14\", expect_size=\"33316864\"] \n  26 -> 28 [size =\"33316864\"]\n  26 -> 30 [size =\"33316864\"]\n  27 [size=\"78798848\", alpha=\"0.09\", expect_size=\"39399424\"] \n  28 [size=\"11710464\", alpha=\"0.17\", expect_size=\"5855232\"] \n  29 [size=\"90161152\", alpha=\"0.03\", expect_size=\"45080576\"] \n  30 [size=\"76255232\", alpha=\"0.17\", expect_size=\"38127616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127156907\", alpha=\"0.06\", expect_size=\"38147072\"] \n  1 -> 11 [size =\"38147072\"]\n  1 -> 12 [size =\"38147072\"]\n  2 [size=\"36956160\", alpha=\"0.14\", expect_size=\"11086848\"] \n  2 -> 11 [size =\"11086848\"]\n  2 -> 15 [size =\"11086848\"]\n  3 [size=\"88176640\", alpha=\"0.14\", expect_size=\"26452992\"] \n  3 -> 13 [size =\"26452992\"]\n  3 -> 14 [size =\"26452992\"]\n  4 [size=\"39338667\", alpha=\"0.00\", expect_size=\"11801600\"] \n  4 -> 12 [size =\"11801600\"]\n  4 -> 13 [size =\"11801600\"]\n  4 -> 15 [size =\"11801600\"]\n  4 -> 19 [size =\"11801600\"]\n  5 [size=\"98911573\", alpha=\"0.09\", expect_size=\"29673472\"] \n  5 -> 11 [size =\"29673472\"]\n  5 -> 13 [size =\"29673472\"]\n  5 -> 14 [size =\"29673472\"]\n  5 -> 15 [size =\"29673472\"]\n  5 -> 16 [size =\"29673472\"]\n  5 -> 17 [size =\"29673472\"]\n  5 -> 20 [size =\"29673472\"]\n  6 [size=\"27330560\", alpha=\"0.05\", expect_size=\"8199168\"] \n  6 -> 11 [size =\"8199168\"]\n  6 -> 18 [size =\"8199168\"]\n  6 -> 20 [size =\"8199168\"]\n  7 [size=\"150715733\", alpha=\"0.05\", expect_size=\"45214720\"] \n  7 -> 11 [size =\"45214720\"]\n  7 -> 16 [size =\"45214720\"]\n  7 -> 18 [size =\"45214720\"]\n  7 -> 20 [size =\"45214720\"]\n  8 [size=\"34044587\", alpha=\"0.12\", expect_size=\"10213376\"] \n  8 -> 13 [size =\"10213376\"]\n  9 [size=\"61330773\", alpha=\"0.03\", expect_size=\"18399232\"] \n  9 -> 11 [size =\"18399232\"]\n  9 -> 13 [size =\"18399232\"]\n  9 -> 15 [size =\"18399232\"]\n  9 -> 20 [size =\"18399232\"]\n  10 [size=\"90961920\", alpha=\"0.19\", expect_size=\"27288576\"] \n  10 -> 13 [size =\"27288576\"]\n  10 -> 18 [size =\"27288576\"]\n  11 [size=\"29757440\", alpha=\"0.06\", expect_size=\"8927232\"] \n  11 -> 26 [size =\"8927232\"]\n  11 -> 26 [size =\"8927232\"]\n  12 [size=\"77441707\", alpha=\"0.17\", expect_size=\"23232512\"] \n  12 -> 25 [size =\"23232512\"]\n  13 [size=\"32624640\", alpha=\"0.10\", expect_size=\"9787392\"] \n  13 -> 23 [size =\"9787392\"]\n  13 -> 24 [size =\"9787392\"]\n  13 -> 27 [size =\"9787392\"]\n  13 -> 28 [size =\"9787392\"]\n  14 [size=\"139147947\", alpha=\"0.15\", expect_size=\"41744384\"] \n  14 -> 21 [size =\"41744384\"]\n  14 -> 22 [size =\"41744384\"]\n  14 -> 24 [size =\"41744384\"]\n  14 -> 27 [size =\"41744384\"]\n  15 [size=\"142356480\", alpha=\"0.16\", expect_size=\"42706944\"] \n  15 -> 23 [size =\"42706944\"]\n  16 [size=\"54678187\", alpha=\"0.02\", expect_size=\"16403456\"] \n  16 -> 23 [size =\"16403456\"]\n  16 -> 29 [size =\"16403456\"]\n  17 [size=\"97696427\", alpha=\"0.19\", expect_size=\"29308928\"] \n  17 -> 21 [size =\"29308928\"]\n  17 -> 24 [size =\"29308928\"]\n  17 -> 25 [size =\"29308928\"]\n  17 -> 28 [size =\"29308928\"]\n  18 [size=\"133696853\", alpha=\"0.06\", expect_size=\"40109056\"] \n  18 -> 21 [size =\"40109056\"]\n  18 -> 23 [size =\"40109056\"]\n  18 -> 24 [size =\"40109056\"]\n  18 -> 29 [size =\"40109056\"]\n  19 [size=\"67017387\", alpha=\"0.02\", expect_size=\"20105216\"] \n  19 -> 21 [size =\"20105216\"]\n  19 -> 23 [size =\"20105216\"]\n  19 -> 24 [size =\"20105216\"]\n  19 -> 26 [size =\"20105216\"]\n  20 [size=\"92934827\", alpha=\"0.08\", expect_size=\"27880448\"] \n  20 -> 23 [size =\"27880448\"]\n  20 -> 26 [size =\"27880448\"]\n  20 -> 30 [size =\"27880448\"]\n  21 [size=\"87951360\", alpha=\"0.08\", expect_size=\"26385408\"] \n  22 [size=\"135208960\", alpha=\"0.10\", expect_size=\"40562688\"] \n  23 [size=\"110397440\", alpha=\"0.02\", expect_size=\"33119232\"] \n  24 [size=\"31139840\", alpha=\"0.16\", expect_size=\"9341952\"] \n  25 [size=\"145220267\", alpha=\"0.00\", expect_size=\"43566080\"] \n  26 [size=\"110571520\", alpha=\"0.06\", expect_size=\"33171456\"] \n  27 [size=\"123842560\", alpha=\"0.09\", expect_size=\"37152768\"] \n  28 [size=\"113943893\", alpha=\"0.14\", expect_size=\"34183168\"] \n  29 [size=\"162891093\", alpha=\"0.04\", expect_size=\"48867328\"] \n  30 [size=\"21589333\", alpha=\"0.04\", expect_size=\"6476800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29069312\", alpha=\"0.07\", expect_size=\"14534656\"] \n  1 -> 9 [size =\"14534656\"]\n  1 -> 12 [size =\"14534656\"]\n  2 [size=\"69736448\", alpha=\"0.02\", expect_size=\"34868224\"] \n  2 -> 9 [size =\"34868224\"]\n  2 -> 16 [size =\"34868224\"]\n  3 [size=\"26327040\", alpha=\"0.19\", expect_size=\"13163520\"] \n  3 -> 11 [size =\"13163520\"]\n  3 -> 17 [size =\"13163520\"]\n  3 -> 18 [size =\"13163520\"]\n  4 [size=\"41324544\", alpha=\"0.19\", expect_size=\"20662272\"] \n  4 -> 8 [size =\"20662272\"]\n  4 -> 10 [size =\"20662272\"]\n  4 -> 13 [size =\"20662272\"]\n  4 -> 16 [size =\"20662272\"]\n  4 -> 17 [size =\"20662272\"]\n  5 [size=\"96391168\", alpha=\"0.09\", expect_size=\"48195584\"] \n  5 -> 8 [size =\"48195584\"]\n  5 -> 13 [size =\"48195584\"]\n  5 -> 15 [size =\"48195584\"]\n  6 [size=\"21755904\", alpha=\"0.09\", expect_size=\"10877952\"] \n  6 -> 8 [size =\"10877952\"]\n  6 -> 12 [size =\"10877952\"]\n  6 -> 14 [size =\"10877952\"]\n  6 -> 15 [size =\"10877952\"]\n  7 [size=\"33839104\", alpha=\"0.11\", expect_size=\"16919552\"] \n  7 -> 12 [size =\"16919552\"]\n  7 -> 17 [size =\"16919552\"]\n  8 [size=\"87824384\", alpha=\"0.03\", expect_size=\"43912192\"] \n  8 -> 19 [size =\"43912192\"]\n  8 -> 21 [size =\"43912192\"]\n  8 -> 22 [size =\"43912192\"]\n  9 [size=\"101025792\", alpha=\"0.04\", expect_size=\"50512896\"] \n  9 -> 22 [size =\"50512896\"]\n  9 -> 23 [size =\"50512896\"]\n  10 [size=\"27488256\", alpha=\"0.08\", expect_size=\"13744128\"] \n  10 -> 21 [size =\"13744128\"]\n  11 [size=\"58947584\", alpha=\"0.03\", expect_size=\"29473792\"] \n  11 -> 20 [size =\"29473792\"]\n  11 -> 24 [size =\"29473792\"]\n  12 [size=\"91115520\", alpha=\"0.09\", expect_size=\"45557760\"] \n  12 -> 21 [size =\"45557760\"]\n  12 -> 24 [size =\"45557760\"]\n  12 -> 25 [size =\"45557760\"]\n  13 [size=\"101767168\", alpha=\"0.09\", expect_size=\"50883584\"] \n  13 -> 21 [size =\"50883584\"]\n  13 -> 24 [size =\"50883584\"]\n  14 [size=\"95586304\", alpha=\"0.09\", expect_size=\"47793152\"] \n  14 -> 20 [size =\"47793152\"]\n  14 -> 25 [size =\"47793152\"]\n  15 [size=\"88850432\", alpha=\"0.08\", expect_size=\"44425216\"] \n  15 -> 20 [size =\"44425216\"]\n  15 -> 22 [size =\"44425216\"]\n  15 -> 24 [size =\"44425216\"]\n  15 -> 25 [size =\"44425216\"]\n  16 [size=\"35930112\", alpha=\"0.06\", expect_size=\"17965056\"] \n  16 -> 19 [size =\"17965056\"]\n  16 -> 23 [size =\"17965056\"]\n  16 -> 24 [size =\"17965056\"]\n  16 -> 25 [size =\"17965056\"]\n  17 [size=\"77834240\", alpha=\"0.16\", expect_size=\"38917120\"] \n  17 -> 19 [size =\"38917120\"]\n  17 -> 20 [size =\"38917120\"]\n  17 -> 22 [size =\"38917120\"]\n  18 [size=\"35463168\", alpha=\"0.15\", expect_size=\"17731584\"] \n  18 -> 20 [size =\"17731584\"]\n  18 -> 21 [size =\"17731584\"]\n  18 -> 25 [size =\"17731584\"]\n  19 [size=\"49993728\", alpha=\"0.01\", expect_size=\"24996864\"] \n  19 -> 26 [size =\"24996864\"]\n  19 -> 29 [size =\"24996864\"]\n  20 [size=\"67045376\", alpha=\"0.19\", expect_size=\"33522688\"] \n  20 -> 26 [size =\"33522688\"]\n  20 -> 30 [size =\"33522688\"]\n  21 [size=\"104192000\", alpha=\"0.01\", expect_size=\"52096000\"] \n  21 -> 26 [size =\"52096000\"]\n  21 -> 30 [size =\"52096000\"]\n  22 [size=\"22532096\", alpha=\"0.16\", expect_size=\"11266048\"] \n  22 -> 27 [size =\"11266048\"]\n  22 -> 28 [size =\"11266048\"]\n  23 [size=\"65601536\", alpha=\"0.14\", expect_size=\"32800768\"] \n  23 -> 29 [size =\"32800768\"]\n  23 -> 30 [size =\"32800768\"]\n  24 [size=\"13924352\", alpha=\"0.18\", expect_size=\"6962176\"] \n  24 -> 26 [size =\"6962176\"]\n  24 -> 27 [size =\"6962176\"]\n  24 -> 28 [size =\"6962176\"]\n  24 -> 30 [size =\"6962176\"]\n  25 [size=\"56401920\", alpha=\"0.01\", expect_size=\"28200960\"] \n  25 -> 28 [size =\"28200960\"]\n  25 -> 29 [size =\"28200960\"]\n  26 [size=\"95502336\", alpha=\"0.06\", expect_size=\"47751168\"] \n  27 [size=\"31748096\", alpha=\"0.16\", expect_size=\"15874048\"] \n  28 [size=\"11552768\", alpha=\"0.03\", expect_size=\"5776384\"] \n  29 [size=\"84242432\", alpha=\"0.08\", expect_size=\"42121216\"] \n  30 [size=\"88883200\", alpha=\"0.17\", expect_size=\"44441600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21071360\", alpha=\"0.09\", expect_size=\"8428544\"] \n  1 -> 9 [size =\"8428544\"]\n  2 [size=\"106014720\", alpha=\"0.16\", expect_size=\"42405888\"] \n  2 -> 8 [size =\"42405888\"]\n  2 -> 9 [size =\"42405888\"]\n  2 -> 11 [size =\"42405888\"]\n  3 [size=\"41820160\", alpha=\"0.10\", expect_size=\"16728064\"] \n  3 -> 8 [size =\"16728064\"]\n  3 -> 9 [size =\"16728064\"]\n  3 -> 11 [size =\"16728064\"]\n  4 [size=\"55004160\", alpha=\"0.10\", expect_size=\"22001664\"] \n  4 -> 7 [size =\"22001664\"]\n  4 -> 8 [size =\"22001664\"]\n  4 -> 9 [size =\"22001664\"]\n  4 -> 10 [size =\"22001664\"]\n  4 -> 11 [size =\"22001664\"]\n  4 -> 12 [size =\"22001664\"]\n  5 [size=\"111513600\", alpha=\"0.01\", expect_size=\"44605440\"] \n  5 -> 7 [size =\"44605440\"]\n  5 -> 10 [size =\"44605440\"]\n  5 -> 11 [size =\"44605440\"]\n  6 [size=\"79447040\", alpha=\"0.14\", expect_size=\"31778816\"] \n  6 -> 7 [size =\"31778816\"]\n  6 -> 12 [size =\"31778816\"]\n  7 [size=\"15659520\", alpha=\"0.18\", expect_size=\"6263808\"] \n  7 -> 13 [size =\"6263808\"]\n  7 -> 16 [size =\"6263808\"]\n  8 [size=\"78947840\", alpha=\"0.08\", expect_size=\"31579136\"] \n  8 -> 15 [size =\"31579136\"]\n  8 -> 16 [size =\"31579136\"]\n  9 [size=\"122557440\", alpha=\"0.07\", expect_size=\"49022976\"] \n  10 [size=\"42388480\", alpha=\"0.19\", expect_size=\"16955392\"] \n  10 -> 14 [size =\"16955392\"]\n  10 -> 16 [size =\"16955392\"]\n  11 [size=\"123220480\", alpha=\"0.03\", expect_size=\"49288192\"] \n  11 -> 13 [size =\"49288192\"]\n  11 -> 14 [size =\"49288192\"]\n  12 [size=\"56640000\", alpha=\"0.17\", expect_size=\"22656000\"] \n  12 -> 13 [size =\"22656000\"]\n  12 -> 16 [size =\"22656000\"]\n  13 [size=\"35786240\", alpha=\"0.06\", expect_size=\"14314496\"] \n  13 -> 20 [size =\"14314496\"]\n  14 [size=\"92994560\", alpha=\"0.11\", expect_size=\"37197824\"] \n  14 -> 17 [size =\"37197824\"]\n  14 -> 19 [size =\"37197824\"]\n  15 [size=\"33722880\", alpha=\"0.10\", expect_size=\"13489152\"] \n  15 -> 18 [size =\"13489152\"]\n  15 -> 19 [size =\"13489152\"]\n  15 -> 20 [size =\"13489152\"]\n  16 [size=\"40878080\", alpha=\"0.04\", expect_size=\"16351232\"] \n  16 -> 19 [size =\"16351232\"]\n  17 [size=\"124723200\", alpha=\"0.20\", expect_size=\"49889280\"] \n  17 -> 22 [size =\"49889280\"]\n  18 [size=\"114380800\", alpha=\"0.13\", expect_size=\"45752320\"] \n  19 [size=\"45611520\", alpha=\"0.05\", expect_size=\"18244608\"] \n  19 -> 21 [size =\"18244608\"]\n  19 -> 22 [size =\"18244608\"]\n  19 -> 24 [size =\"18244608\"]\n  19 -> 25 [size =\"18244608\"]\n  20 [size=\"89564160\", alpha=\"0.06\", expect_size=\"35825664\"] \n  20 -> 21 [size =\"35825664\"]\n  20 -> 23 [size =\"35825664\"]\n  21 [size=\"82557440\", alpha=\"0.09\", expect_size=\"33022976\"] \n  21 -> 26 [size =\"33022976\"]\n  21 -> 27 [size =\"33022976\"]\n  21 -> 28 [size =\"33022976\"]\n  21 -> 30 [size =\"33022976\"]\n  22 [size=\"101696000\", alpha=\"0.08\", expect_size=\"40678400\"] \n  22 -> 27 [size =\"40678400\"]\n  22 -> 28 [size =\"40678400\"]\n  23 [size=\"84441600\", alpha=\"0.12\", expect_size=\"33776640\"] \n  23 -> 29 [size =\"33776640\"]\n  24 [size=\"118638080\", alpha=\"0.02\", expect_size=\"47455232\"] \n  25 [size=\"67983360\", alpha=\"0.10\", expect_size=\"27193344\"] \n  25 -> 26 [size =\"27193344\"]\n  25 -> 30 [size =\"27193344\"]\n  26 [size=\"129635840\", alpha=\"0.08\", expect_size=\"51854336\"] \n  27 [size=\"33692160\", alpha=\"0.07\", expect_size=\"13476864\"] \n  28 [size=\"31119360\", alpha=\"0.17\", expect_size=\"12447744\"] \n  29 [size=\"106488320\", alpha=\"0.06\", expect_size=\"42595328\"] \n  30 [size=\"16890880\", alpha=\"0.20\", expect_size=\"6756352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30095360\", alpha=\"0.04\", expect_size=\"15047680\"] \n  1 -> 2 [size =\"15047680\"]\n  1 -> 3 [size =\"15047680\"]\n  2 [size=\"25169920\", alpha=\"0.19\", expect_size=\"12584960\"] \n  3 [size=\"54153216\", alpha=\"0.16\", expect_size=\"27076608\"] \n  3 -> 4 [size =\"27076608\"]\n  4 [size=\"98029568\", alpha=\"0.11\", expect_size=\"49014784\"] \n  4 -> 5 [size =\"49014784\"]\n  4 -> 6 [size =\"49014784\"]\n  5 [size=\"70352896\", alpha=\"0.06\", expect_size=\"35176448\"] \n  5 -> 8 [size =\"35176448\"]\n  6 [size=\"15708160\", alpha=\"0.05\", expect_size=\"7854080\"] \n  6 -> 7 [size =\"7854080\"]\n  7 [size=\"74346496\", alpha=\"0.01\", expect_size=\"37173248\"] \n  8 [size=\"78133248\", alpha=\"0.15\", expect_size=\"39066624\"] \n  8 -> 9 [size =\"39066624\"]\n  8 -> 10 [size =\"39066624\"]\n  9 [size=\"91297792\", alpha=\"0.06\", expect_size=\"45648896\"] \n  9 -> 12 [size =\"45648896\"]\n  10 [size=\"40282112\", alpha=\"0.18\", expect_size=\"20141056\"] \n  10 -> 11 [size =\"20141056\"]\n  10 -> 12 [size =\"20141056\"]\n  11 [size=\"88967168\", alpha=\"0.04\", expect_size=\"44483584\"] \n  11 -> 13 [size =\"44483584\"]\n  12 [size=\"12849152\", alpha=\"0.05\", expect_size=\"6424576\"] \n  12 -> 13 [size =\"6424576\"]\n  12 -> 14 [size =\"6424576\"]\n  13 [size=\"101470208\", alpha=\"0.09\", expect_size=\"50735104\"] \n  13 -> 15 [size =\"50735104\"]\n  14 [size=\"84056064\", alpha=\"0.06\", expect_size=\"42028032\"] \n  14 -> 15 [size =\"42028032\"]\n  15 [size=\"39272448\", alpha=\"0.06\", expect_size=\"19636224\"] \n  15 -> 16 [size =\"19636224\"]\n  15 -> 17 [size =\"19636224\"]\n  16 [size=\"67932160\", alpha=\"0.17\", expect_size=\"33966080\"] \n  16 -> 18 [size =\"33966080\"]\n  16 -> 19 [size =\"33966080\"]\n  17 [size=\"90165248\", alpha=\"0.05\", expect_size=\"45082624\"] \n  17 -> 19 [size =\"45082624\"]\n  18 [size=\"94154752\", alpha=\"0.11\", expect_size=\"47077376\"] \n  18 -> 20 [size =\"47077376\"]\n  19 [size=\"70244352\", alpha=\"0.09\", expect_size=\"35122176\"] \n  19 -> 20 [size =\"35122176\"]\n  20 [size=\"96575488\", alpha=\"0.01\", expect_size=\"48287744\"] \n  20 -> 21 [size =\"48287744\"]\n  20 -> 22 [size =\"48287744\"]\n  21 [size=\"88465408\", alpha=\"0.18\", expect_size=\"44232704\"] \n  21 -> 23 [size =\"44232704\"]\n  21 -> 24 [size =\"44232704\"]\n  22 [size=\"10989568\", alpha=\"0.18\", expect_size=\"5494784\"] \n  22 -> 23 [size =\"5494784\"]\n  22 -> 24 [size =\"5494784\"]\n  23 [size=\"33226752\", alpha=\"0.07\", expect_size=\"16613376\"] \n  23 -> 25 [size =\"16613376\"]\n  24 [size=\"77570048\", alpha=\"0.14\", expect_size=\"38785024\"] \n  25 [size=\"11165696\", alpha=\"0.15\", expect_size=\"5582848\"] \n  25 -> 26 [size =\"5582848\"]\n  25 -> 27 [size =\"5582848\"]\n  26 [size=\"37226496\", alpha=\"0.16\", expect_size=\"18613248\"] \n  26 -> 28 [size =\"18613248\"]\n  26 -> 29 [size =\"18613248\"]\n  27 [size=\"24821760\", alpha=\"0.11\", expect_size=\"12410880\"] \n  27 -> 28 [size =\"12410880\"]\n  27 -> 29 [size =\"12410880\"]\n  28 [size=\"47876096\", alpha=\"0.00\", expect_size=\"23938048\"] \n  28 -> 30 [size =\"23938048\"]\n  29 [size=\"101617664\", alpha=\"0.06\", expect_size=\"50808832\"] \n  29 -> 30 [size =\"50808832\"]\n  30 [size=\"47978496\", alpha=\"0.19\", expect_size=\"23989248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119316480\", alpha=\"0.02\", expect_size=\"47726592\"] \n  1 -> 8 [size =\"47726592\"]\n  2 [size=\"39964160\", alpha=\"0.07\", expect_size=\"15985664\"] \n  2 -> 9 [size =\"15985664\"]\n  2 -> 10 [size =\"15985664\"]\n  3 [size=\"88742400\", alpha=\"0.04\", expect_size=\"35496960\"] \n  3 -> 7 [size =\"35496960\"]\n  3 -> 9 [size =\"35496960\"]\n  4 [size=\"13655040\", alpha=\"0.12\", expect_size=\"5462016\"] \n  5 [size=\"24473600\", alpha=\"0.05\", expect_size=\"9789440\"] \n  5 -> 6 [size =\"9789440\"]\n  6 [size=\"127723520\", alpha=\"0.09\", expect_size=\"51089408\"] \n  6 -> 13 [size =\"51089408\"]\n  7 [size=\"37199360\", alpha=\"0.17\", expect_size=\"14879744\"] \n  7 -> 12 [size =\"14879744\"]\n  7 -> 13 [size =\"14879744\"]\n  7 -> 14 [size =\"14879744\"]\n  8 [size=\"16089600\", alpha=\"0.18\", expect_size=\"6435840\"] \n  8 -> 11 [size =\"6435840\"]\n  8 -> 13 [size =\"6435840\"]\n  8 -> 14 [size =\"6435840\"]\n  9 [size=\"119073280\", alpha=\"0.18\", expect_size=\"47629312\"] \n  9 -> 11 [size =\"47629312\"]\n  10 [size=\"90316800\", alpha=\"0.20\", expect_size=\"36126720\"] \n  11 [size=\"91440640\", alpha=\"0.13\", expect_size=\"36576256\"] \n  11 -> 15 [size =\"36576256\"]\n  11 -> 19 [size =\"36576256\"]\n  12 [size=\"106045440\", alpha=\"0.12\", expect_size=\"42418176\"] \n  12 -> 16 [size =\"42418176\"]\n  12 -> 18 [size =\"42418176\"]\n  13 [size=\"28856320\", alpha=\"0.11\", expect_size=\"11542528\"] \n  13 -> 17 [size =\"11542528\"]\n  14 [size=\"51287040\", alpha=\"0.02\", expect_size=\"20514816\"] \n  14 -> 15 [size =\"20514816\"]\n  14 -> 17 [size =\"20514816\"]\n  14 -> 19 [size =\"20514816\"]\n  15 [size=\"122421760\", alpha=\"0.09\", expect_size=\"48968704\"] \n  15 -> 21 [size =\"48968704\"]\n  16 [size=\"36851200\", alpha=\"0.03\", expect_size=\"14740480\"] \n  16 -> 20 [size =\"14740480\"]\n  16 -> 22 [size =\"14740480\"]\n  16 -> 23 [size =\"14740480\"]\n  17 [size=\"88110080\", alpha=\"0.08\", expect_size=\"35244032\"] \n  17 -> 20 [size =\"35244032\"]\n  18 [size=\"68487680\", alpha=\"0.01\", expect_size=\"27395072\"] \n  18 -> 20 [size =\"27395072\"]\n  18 -> 21 [size =\"27395072\"]\n  19 [size=\"54835200\", alpha=\"0.07\", expect_size=\"21934080\"] \n  19 -> 22 [size =\"21934080\"]\n  20 [size=\"44661760\", alpha=\"0.18\", expect_size=\"17864704\"] \n  20 -> 25 [size =\"17864704\"]\n  21 [size=\"42368000\", alpha=\"0.08\", expect_size=\"16947200\"] \n  21 -> 25 [size =\"16947200\"]\n  21 -> 26 [size =\"16947200\"]\n  21 -> 27 [size =\"16947200\"]\n  22 [size=\"117409280\", alpha=\"0.02\", expect_size=\"46963712\"] \n  23 [size=\"70773760\", alpha=\"0.09\", expect_size=\"28309504\"] \n  23 -> 24 [size =\"28309504\"]\n  23 -> 27 [size =\"28309504\"]\n  24 [size=\"18101760\", alpha=\"0.16\", expect_size=\"7240704\"] \n  24 -> 28 [size =\"7240704\"]\n  24 -> 29 [size =\"7240704\"]\n  24 -> 30 [size =\"7240704\"]\n  25 [size=\"30507520\", alpha=\"0.05\", expect_size=\"12203008\"] \n  26 [size=\"83814400\", alpha=\"0.13\", expect_size=\"33525760\"] \n  26 -> 29 [size =\"33525760\"]\n  27 [size=\"100715520\", alpha=\"0.06\", expect_size=\"40286208\"] \n  27 -> 28 [size =\"40286208\"]\n  28 [size=\"28769280\", alpha=\"0.19\", expect_size=\"11507712\"] \n  29 [size=\"35520000\", alpha=\"0.09\", expect_size=\"14208000\"] \n  30 [size=\"74600960\", alpha=\"0.13\", expect_size=\"29840384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73887744\", alpha=\"0.05\", expect_size=\"36943872\"] \n  1 -> 7 [size =\"36943872\"]\n  1 -> 8 [size =\"36943872\"]\n  1 -> 10 [size =\"36943872\"]\n  1 -> 11 [size =\"36943872\"]\n  1 -> 12 [size =\"36943872\"]\n  1 -> 13 [size =\"36943872\"]\n  1 -> 14 [size =\"36943872\"]\n  2 [size=\"56846336\", alpha=\"0.16\", expect_size=\"28423168\"] \n  2 -> 7 [size =\"28423168\"]\n  2 -> 9 [size =\"28423168\"]\n  2 -> 10 [size =\"28423168\"]\n  2 -> 12 [size =\"28423168\"]\n  2 -> 13 [size =\"28423168\"]\n  2 -> 14 [size =\"28423168\"]\n  3 [size=\"81025024\", alpha=\"0.13\", expect_size=\"40512512\"] \n  3 -> 6 [size =\"40512512\"]\n  3 -> 10 [size =\"40512512\"]\n  3 -> 10 [size =\"40512512\"]\n  3 -> 11 [size =\"40512512\"]\n  3 -> 13 [size =\"40512512\"]\n  3 -> 14 [size =\"40512512\"]\n  4 [size=\"33662976\", alpha=\"0.02\", expect_size=\"16831488\"] \n  4 -> 9 [size =\"16831488\"]\n  4 -> 11 [size =\"16831488\"]\n  4 -> 12 [size =\"16831488\"]\n  4 -> 13 [size =\"16831488\"]\n  4 -> 14 [size =\"16831488\"]\n  5 [size=\"92473344\", alpha=\"0.20\", expect_size=\"46236672\"] \n  5 -> 7 [size =\"46236672\"]\n  5 -> 9 [size =\"46236672\"]\n  5 -> 11 [size =\"46236672\"]\n  5 -> 13 [size =\"46236672\"]\n  5 -> 14 [size =\"46236672\"]\n  6 [size=\"50216960\", alpha=\"0.08\", expect_size=\"25108480\"] \n  6 -> 16 [size =\"25108480\"]\n  6 -> 18 [size =\"25108480\"]\n  6 -> 19 [size =\"25108480\"]\n  6 -> 22 [size =\"25108480\"]\n  6 -> 23 [size =\"25108480\"]\n  6 -> 24 [size =\"25108480\"]\n  7 [size=\"46186496\", alpha=\"0.08\", expect_size=\"23093248\"] \n  7 -> 15 [size =\"23093248\"]\n  7 -> 16 [size =\"23093248\"]\n  7 -> 19 [size =\"23093248\"]\n  7 -> 22 [size =\"23093248\"]\n  8 [size=\"25964544\", alpha=\"0.15\", expect_size=\"12982272\"] \n  8 -> 16 [size =\"12982272\"]\n  8 -> 16 [size =\"12982272\"]\n  8 -> 17 [size =\"12982272\"]\n  8 -> 18 [size =\"12982272\"]\n  8 -> 19 [size =\"12982272\"]\n  8 -> 22 [size =\"12982272\"]\n  8 -> 23 [size =\"12982272\"]\n  9 [size=\"30461952\", alpha=\"0.12\", expect_size=\"15230976\"] \n  9 -> 15 [size =\"15230976\"]\n  9 -> 16 [size =\"15230976\"]\n  9 -> 17 [size =\"15230976\"]\n  9 -> 18 [size =\"15230976\"]\n  9 -> 19 [size =\"15230976\"]\n  9 -> 22 [size =\"15230976\"]\n  10 [size=\"38950912\", alpha=\"0.05\", expect_size=\"19475456\"] \n  10 -> 17 [size =\"19475456\"]\n  10 -> 18 [size =\"19475456\"]\n  10 -> 19 [size =\"19475456\"]\n  10 -> 23 [size =\"19475456\"]\n  11 [size=\"76396544\", alpha=\"0.15\", expect_size=\"38198272\"] \n  11 -> 17 [size =\"38198272\"]\n  11 -> 18 [size =\"38198272\"]\n  11 -> 19 [size =\"38198272\"]\n  11 -> 22 [size =\"38198272\"]\n  11 -> 24 [size =\"38198272\"]\n  12 [size=\"98297856\", alpha=\"0.11\", expect_size=\"49148928\"] \n  12 -> 18 [size =\"49148928\"]\n  12 -> 18 [size =\"49148928\"]\n  12 -> 20 [size =\"49148928\"]\n  12 -> 23 [size =\"49148928\"]\n  12 -> 24 [size =\"49148928\"]\n  13 [size=\"78850048\", alpha=\"0.17\", expect_size=\"39425024\"] \n  13 -> 17 [size =\"39425024\"]\n  13 -> 19 [size =\"39425024\"]\n  13 -> 22 [size =\"39425024\"]\n  13 -> 23 [size =\"39425024\"]\n  14 [size=\"45762560\", alpha=\"0.05\", expect_size=\"22881280\"] \n  14 -> 16 [size =\"22881280\"]\n  14 -> 18 [size =\"22881280\"]\n  14 -> 21 [size =\"22881280\"]\n  14 -> 23 [size =\"22881280\"]\n  14 -> 24 [size =\"22881280\"]\n  14 -> 25 [size =\"22881280\"]\n  15 [size=\"56238080\", alpha=\"0.07\", expect_size=\"28119040\"] \n  15 -> 30 [size =\"28119040\"]\n  16 [size=\"55453696\", alpha=\"0.07\", expect_size=\"27726848\"] \n  17 [size=\"91893760\", alpha=\"0.16\", expect_size=\"45946880\"] \n  17 -> 28 [size =\"45946880\"]\n  17 -> 30 [size =\"45946880\"]\n  18 [size=\"35061760\", alpha=\"0.09\", expect_size=\"17530880\"] \n  18 -> 26 [size =\"17530880\"]\n  18 -> 27 [size =\"17530880\"]\n  18 -> 28 [size =\"17530880\"]\n  18 -> 29 [size =\"17530880\"]\n  18 -> 30 [size =\"17530880\"]\n  19 [size=\"103950336\", alpha=\"0.05\", expect_size=\"51975168\"] \n  19 -> 30 [size =\"51975168\"]\n  20 [size=\"68380672\", alpha=\"0.10\", expect_size=\"34190336\"] \n  20 -> 27 [size =\"34190336\"]\n  20 -> 30 [size =\"34190336\"]\n  21 [size=\"92878848\", alpha=\"0.08\", expect_size=\"46439424\"] \n  21 -> 28 [size =\"46439424\"]\n  21 -> 30 [size =\"46439424\"]\n  22 [size=\"71184384\", alpha=\"0.16\", expect_size=\"35592192\"] \n  22 -> 26 [size =\"35592192\"]\n  22 -> 27 [size =\"35592192\"]\n  22 -> 28 [size =\"35592192\"]\n  22 -> 29 [size =\"35592192\"]\n  23 [size=\"27695104\", alpha=\"0.19\", expect_size=\"13847552\"] \n  23 -> 26 [size =\"13847552\"]\n  23 -> 28 [size =\"13847552\"]\n  23 -> 28 [size =\"13847552\"]\n  23 -> 30 [size =\"13847552\"]\n  24 [size=\"12075008\", alpha=\"0.07\", expect_size=\"6037504\"] \n  24 -> 26 [size =\"6037504\"]\n  24 -> 27 [size =\"6037504\"]\n  25 [size=\"37556224\", alpha=\"0.12\", expect_size=\"18778112\"] \n  25 -> 26 [size =\"18778112\"]\n  25 -> 28 [size =\"18778112\"]\n  25 -> 30 [size =\"18778112\"]\n  26 [size=\"70989824\", alpha=\"0.06\", expect_size=\"35494912\"] \n  27 [size=\"104060928\", alpha=\"0.07\", expect_size=\"52030464\"] \n  28 [size=\"84189184\", alpha=\"0.11\", expect_size=\"42094592\"] \n  29 [size=\"33411072\", alpha=\"0.00\", expect_size=\"16705536\"] \n  30 [size=\"58290176\", alpha=\"0.15\", expect_size=\"29145088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29917867\", alpha=\"0.19\", expect_size=\"8975360\"] \n  1 -> 8 [size =\"8975360\"]\n  1 -> 9 [size =\"8975360\"]\n  2 [size=\"58968747\", alpha=\"0.19\", expect_size=\"17690624\"] \n  2 -> 6 [size =\"17690624\"]\n  3 [size=\"71918933\", alpha=\"0.01\", expect_size=\"21575680\"] \n  3 -> 7 [size =\"21575680\"]\n  3 -> 9 [size =\"21575680\"]\n  4 [size=\"53415253\", alpha=\"0.18\", expect_size=\"16024576\"] \n  4 -> 6 [size =\"16024576\"]\n  4 -> 7 [size =\"16024576\"]\n  4 -> 8 [size =\"16024576\"]\n  4 -> 9 [size =\"16024576\"]\n  5 [size=\"55326720\", alpha=\"0.20\", expect_size=\"16598016\"] \n  5 -> 7 [size =\"16598016\"]\n  5 -> 8 [size =\"16598016\"]\n  6 [size=\"140042240\", alpha=\"0.17\", expect_size=\"42012672\"] \n  6 -> 11 [size =\"42012672\"]\n  6 -> 13 [size =\"42012672\"]\n  7 [size=\"35915093\", alpha=\"0.02\", expect_size=\"10774528\"] \n  7 -> 12 [size =\"10774528\"]\n  8 [size=\"78895787\", alpha=\"0.17\", expect_size=\"23668736\"] \n  8 -> 10 [size =\"23668736\"]\n  9 [size=\"48332800\", alpha=\"0.02\", expect_size=\"14499840\"] \n  9 -> 10 [size =\"14499840\"]\n  10 [size=\"53964800\", alpha=\"0.01\", expect_size=\"16189440\"] \n  10 -> 15 [size =\"16189440\"]\n  10 -> 16 [size =\"16189440\"]\n  11 [size=\"46530560\", alpha=\"0.08\", expect_size=\"13959168\"] \n  11 -> 16 [size =\"13959168\"]\n  12 [size=\"40495787\", alpha=\"0.11\", expect_size=\"12148736\"] \n  12 -> 14 [size =\"12148736\"]\n  12 -> 15 [size =\"12148736\"]\n  13 [size=\"32651947\", alpha=\"0.19\", expect_size=\"9795584\"] \n  13 -> 14 [size =\"9795584\"]\n  13 -> 15 [size =\"9795584\"]\n  14 [size=\"37065387\", alpha=\"0.01\", expect_size=\"11119616\"] \n  14 -> 17 [size =\"11119616\"]\n  14 -> 18 [size =\"11119616\"]\n  14 -> 19 [size =\"11119616\"]\n  15 [size=\"17500160\", alpha=\"0.14\", expect_size=\"5250048\"] \n  15 -> 17 [size =\"5250048\"]\n  15 -> 18 [size =\"5250048\"]\n  16 [size=\"173472427\", alpha=\"0.18\", expect_size=\"52041728\"] \n  17 [size=\"150432427\", alpha=\"0.09\", expect_size=\"45129728\"] \n  17 -> 22 [size =\"45129728\"]\n  17 -> 23 [size =\"45129728\"]\n  18 [size=\"168806400\", alpha=\"0.18\", expect_size=\"50641920\"] \n  18 -> 21 [size =\"50641920\"]\n  18 -> 22 [size =\"50641920\"]\n  18 -> 24 [size =\"50641920\"]\n  18 -> 25 [size =\"50641920\"]\n  19 [size=\"145227093\", alpha=\"0.11\", expect_size=\"43568128\"] \n  19 -> 20 [size =\"43568128\"]\n  19 -> 21 [size =\"43568128\"]\n  20 [size=\"159501653\", alpha=\"0.06\", expect_size=\"47850496\"] \n  20 -> 26 [size =\"47850496\"]\n  20 -> 29 [size =\"47850496\"]\n  20 -> 30 [size =\"47850496\"]\n  21 [size=\"166024533\", alpha=\"0.02\", expect_size=\"49807360\"] \n  21 -> 26 [size =\"49807360\"]\n  21 -> 27 [size =\"49807360\"]\n  21 -> 29 [size =\"49807360\"]\n  21 -> 30 [size =\"49807360\"]\n  22 [size=\"74755413\", alpha=\"0.03\", expect_size=\"22426624\"] \n  22 -> 26 [size =\"22426624\"]\n  22 -> 29 [size =\"22426624\"]\n  22 -> 30 [size =\"22426624\"]\n  23 [size=\"159167147\", alpha=\"0.11\", expect_size=\"47750144\"] \n  24 [size=\"151729493\", alpha=\"0.04\", expect_size=\"45518848\"] \n  24 -> 28 [size =\"45518848\"]\n  25 [size=\"161515520\", alpha=\"0.01\", expect_size=\"48454656\"] \n  25 -> 26 [size =\"48454656\"]\n  25 -> 30 [size =\"48454656\"]\n  26 [size=\"114182827\", alpha=\"0.14\", expect_size=\"34254848\"] \n  27 [size=\"94576640\", alpha=\"0.10\", expect_size=\"28372992\"] \n  28 [size=\"167144107\", alpha=\"0.13\", expect_size=\"50143232\"] \n  29 [size=\"148797440\", alpha=\"0.00\", expect_size=\"44639232\"] \n  30 [size=\"80192853\", alpha=\"0.12\", expect_size=\"24057856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17815552\", alpha=\"0.13\", expect_size=\"8907776\"] \n  1 -> 2 [size =\"8907776\"]\n  2 [size=\"50348032\", alpha=\"0.11\", expect_size=\"25174016\"] \n  2 -> 3 [size =\"25174016\"]\n  3 [size=\"87246848\", alpha=\"0.04\", expect_size=\"43623424\"] \n  3 -> 4 [size =\"43623424\"]\n  4 [size=\"86083584\", alpha=\"0.20\", expect_size=\"43041792\"] \n  4 -> 5 [size =\"43041792\"]\n  5 [size=\"80322560\", alpha=\"0.19\", expect_size=\"40161280\"] \n  5 -> 6 [size =\"40161280\"]\n  6 [size=\"70631424\", alpha=\"0.11\", expect_size=\"35315712\"] \n  6 -> 7 [size =\"35315712\"]\n  7 [size=\"36278272\", alpha=\"0.02\", expect_size=\"18139136\"] \n  7 -> 8 [size =\"18139136\"]\n  8 [size=\"62640128\", alpha=\"0.16\", expect_size=\"31320064\"] \n  8 -> 9 [size =\"31320064\"]\n  9 [size=\"54734848\", alpha=\"0.17\", expect_size=\"27367424\"] \n  9 -> 10 [size =\"27367424\"]\n  10 [size=\"102223872\", alpha=\"0.09\", expect_size=\"51111936\"] \n  10 -> 11 [size =\"51111936\"]\n  11 [size=\"12324864\", alpha=\"0.11\", expect_size=\"6162432\"] \n  11 -> 12 [size =\"6162432\"]\n  12 [size=\"71981056\", alpha=\"0.06\", expect_size=\"35990528\"] \n  12 -> 13 [size =\"35990528\"]\n  13 [size=\"28424192\", alpha=\"0.05\", expect_size=\"14212096\"] \n  13 -> 14 [size =\"14212096\"]\n  14 [size=\"48054272\", alpha=\"0.07\", expect_size=\"24027136\"] \n  14 -> 15 [size =\"24027136\"]\n  15 [size=\"47230976\", alpha=\"0.14\", expect_size=\"23615488\"] \n  15 -> 16 [size =\"23615488\"]\n  16 [size=\"41728000\", alpha=\"0.19\", expect_size=\"20864000\"] \n  16 -> 17 [size =\"20864000\"]\n  17 [size=\"92149760\", alpha=\"0.20\", expect_size=\"46074880\"] \n  17 -> 18 [size =\"46074880\"]\n  18 [size=\"101564416\", alpha=\"0.13\", expect_size=\"50782208\"] \n  18 -> 19 [size =\"50782208\"]\n  19 [size=\"81371136\", alpha=\"0.02\", expect_size=\"40685568\"] \n  19 -> 20 [size =\"40685568\"]\n  20 [size=\"68481024\", alpha=\"0.01\", expect_size=\"34240512\"] \n  20 -> 21 [size =\"34240512\"]\n  21 [size=\"15697920\", alpha=\"0.01\", expect_size=\"7848960\"] \n  21 -> 22 [size =\"7848960\"]\n  22 [size=\"66693120\", alpha=\"0.10\", expect_size=\"33346560\"] \n  22 -> 23 [size =\"33346560\"]\n  23 [size=\"96512000\", alpha=\"0.16\", expect_size=\"48256000\"] \n  23 -> 24 [size =\"48256000\"]\n  24 [size=\"27250688\", alpha=\"0.17\", expect_size=\"13625344\"] \n  24 -> 25 [size =\"13625344\"]\n  25 [size=\"59963392\", alpha=\"0.13\", expect_size=\"29981696\"] \n  25 -> 26 [size =\"29981696\"]\n  26 [size=\"29687808\", alpha=\"0.02\", expect_size=\"14843904\"] \n  26 -> 27 [size =\"14843904\"]\n  27 [size=\"25714688\", alpha=\"0.16\", expect_size=\"12857344\"] \n  27 -> 28 [size =\"12857344\"]\n  28 [size=\"25440256\", alpha=\"0.02\", expect_size=\"12720128\"] \n  28 -> 29 [size =\"12720128\"]\n  29 [size=\"85309440\", alpha=\"0.16\", expect_size=\"42654720\"] \n  29 -> 30 [size =\"42654720\"]\n  30 [size=\"93020160\", alpha=\"0.11\", expect_size=\"46510080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137550507\", alpha=\"0.16\", expect_size=\"41265152\"] \n  1 -> 7 [size =\"41265152\"]\n  1 -> 8 [size =\"41265152\"]\n  1 -> 9 [size =\"41265152\"]\n  1 -> 10 [size =\"41265152\"]\n  2 [size=\"144336213\", alpha=\"0.11\", expect_size=\"43300864\"] \n  2 -> 8 [size =\"43300864\"]\n  2 -> 10 [size =\"43300864\"]\n  3 [size=\"26736640\", alpha=\"0.07\", expect_size=\"8020992\"] \n  3 -> 10 [size =\"8020992\"]\n  4 [size=\"168700587\", alpha=\"0.03\", expect_size=\"50610176\"] \n  5 [size=\"79694507\", alpha=\"0.04\", expect_size=\"23908352\"] \n  5 -> 8 [size =\"23908352\"]\n  6 [size=\"111732053\", alpha=\"0.16\", expect_size=\"33519616\"] \n  6 -> 9 [size =\"33519616\"]\n  7 [size=\"24477013\", alpha=\"0.08\", expect_size=\"7343104\"] \n  7 -> 14 [size =\"7343104\"]\n  7 -> 14 [size =\"7343104\"]\n  8 [size=\"138926080\", alpha=\"0.07\", expect_size=\"41677824\"] \n  8 -> 11 [size =\"41677824\"]\n  8 -> 12 [size =\"41677824\"]\n  8 -> 16 [size =\"41677824\"]\n  9 [size=\"98153813\", alpha=\"0.06\", expect_size=\"29446144\"] \n  9 -> 11 [size =\"29446144\"]\n  9 -> 12 [size =\"29446144\"]\n  9 -> 17 [size =\"29446144\"]\n  10 [size=\"148179627\", alpha=\"0.12\", expect_size=\"44453888\"] \n  10 -> 13 [size =\"44453888\"]\n  10 -> 14 [size =\"44453888\"]\n  10 -> 15 [size =\"44453888\"]\n  10 -> 16 [size =\"44453888\"]\n  10 -> 17 [size =\"44453888\"]\n  11 [size=\"132287147\", alpha=\"0.04\", expect_size=\"39686144\"] \n  11 -> 18 [size =\"39686144\"]\n  12 [size=\"101277013\", alpha=\"0.20\", expect_size=\"30383104\"] \n  13 [size=\"31819093\", alpha=\"0.18\", expect_size=\"9545728\"] \n  13 -> 18 [size =\"9545728\"]\n  14 [size=\"90057387\", alpha=\"0.11\", expect_size=\"27017216\"] \n  14 -> 18 [size =\"27017216\"]\n  14 -> 20 [size =\"27017216\"]\n  15 [size=\"114138453\", alpha=\"0.10\", expect_size=\"34241536\"] \n  15 -> 18 [size =\"34241536\"]\n  15 -> 20 [size =\"34241536\"]\n  15 -> 21 [size =\"34241536\"]\n  16 [size=\"147851947\", alpha=\"0.13\", expect_size=\"44355584\"] \n  16 -> 18 [size =\"44355584\"]\n  16 -> 19 [size =\"44355584\"]\n  17 [size=\"113100800\", alpha=\"0.12\", expect_size=\"33930240\"] \n  17 -> 21 [size =\"33930240\"]\n  18 [size=\"19933867\", alpha=\"0.06\", expect_size=\"5980160\"] \n  18 -> 23 [size =\"5980160\"]\n  19 [size=\"71062187\", alpha=\"0.08\", expect_size=\"21318656\"] \n  19 -> 24 [size =\"21318656\"]\n  20 [size=\"114906453\", alpha=\"0.16\", expect_size=\"34471936\"] \n  20 -> 22 [size =\"34471936\"]\n  20 -> 23 [size =\"34471936\"]\n  21 [size=\"54476800\", alpha=\"0.19\", expect_size=\"16343040\"] \n  21 -> 22 [size =\"16343040\"]\n  22 [size=\"89053867\", alpha=\"0.18\", expect_size=\"26716160\"] \n  22 -> 27 [size =\"26716160\"]\n  23 [size=\"87336960\", alpha=\"0.18\", expect_size=\"26201088\"] \n  23 -> 26 [size =\"26201088\"]\n  23 -> 27 [size =\"26201088\"]\n  23 -> 28 [size =\"26201088\"]\n  24 [size=\"68051627\", alpha=\"0.17\", expect_size=\"20415488\"] \n  24 -> 25 [size =\"20415488\"]\n  24 -> 26 [size =\"20415488\"]\n  25 [size=\"154753707\", alpha=\"0.05\", expect_size=\"46426112\"] \n  25 -> 30 [size =\"46426112\"]\n  26 [size=\"73963520\", alpha=\"0.04\", expect_size=\"22189056\"] \n  27 [size=\"20155733\", alpha=\"0.05\", expect_size=\"6046720\"] \n  27 -> 30 [size =\"6046720\"]\n  28 [size=\"113899520\", alpha=\"0.00\", expect_size=\"34169856\"] \n  28 -> 29 [size =\"34169856\"]\n  28 -> 30 [size =\"34169856\"]\n  29 [size=\"159371947\", alpha=\"0.06\", expect_size=\"47811584\"] \n  30 [size=\"64378880\", alpha=\"0.09\", expect_size=\"19313664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32669013\", alpha=\"0.04\", expect_size=\"9800704\"] \n  1 -> 2 [size =\"9800704\"]\n  2 [size=\"123733333\", alpha=\"0.08\", expect_size=\"37120000\"] \n  2 -> 3 [size =\"37120000\"]\n  3 [size=\"82111147\", alpha=\"0.08\", expect_size=\"24633344\"] \n  3 -> 4 [size =\"24633344\"]\n  4 [size=\"46080000\", alpha=\"0.01\", expect_size=\"13824000\"] \n  4 -> 5 [size =\"13824000\"]\n  5 [size=\"53940907\", alpha=\"0.08\", expect_size=\"16182272\"] \n  5 -> 6 [size =\"16182272\"]\n  6 [size=\"122323627\", alpha=\"0.17\", expect_size=\"36697088\"] \n  6 -> 7 [size =\"36697088\"]\n  7 [size=\"88227840\", alpha=\"0.01\", expect_size=\"26468352\"] \n  7 -> 8 [size =\"26468352\"]\n  8 [size=\"44247040\", alpha=\"0.09\", expect_size=\"13274112\"] \n  8 -> 9 [size =\"13274112\"]\n  9 [size=\"125846187\", alpha=\"0.19\", expect_size=\"37753856\"] \n  9 -> 10 [size =\"37753856\"]\n  10 [size=\"35676160\", alpha=\"0.14\", expect_size=\"10702848\"] \n  10 -> 11 [size =\"10702848\"]\n  11 [size=\"156252160\", alpha=\"0.11\", expect_size=\"46875648\"] \n  11 -> 12 [size =\"46875648\"]\n  12 [size=\"34321067\", alpha=\"0.17\", expect_size=\"10296320\"] \n  12 -> 13 [size =\"10296320\"]\n  13 [size=\"97273173\", alpha=\"0.17\", expect_size=\"29181952\"] \n  13 -> 14 [size =\"29181952\"]\n  14 [size=\"159119360\", alpha=\"0.18\", expect_size=\"47735808\"] \n  14 -> 15 [size =\"47735808\"]\n  15 [size=\"167256747\", alpha=\"0.02\", expect_size=\"50177024\"] \n  15 -> 16 [size =\"50177024\"]\n  16 [size=\"71662933\", alpha=\"0.20\", expect_size=\"21498880\"] \n  16 -> 17 [size =\"21498880\"]\n  17 [size=\"47872000\", alpha=\"0.04\", expect_size=\"14361600\"] \n  17 -> 18 [size =\"14361600\"]\n  18 [size=\"59040427\", alpha=\"0.20\", expect_size=\"17712128\"] \n  18 -> 19 [size =\"17712128\"]\n  19 [size=\"128392533\", alpha=\"0.17\", expect_size=\"38517760\"] \n  19 -> 20 [size =\"38517760\"]\n  20 [size=\"119671467\", alpha=\"0.03\", expect_size=\"35901440\"] \n  20 -> 21 [size =\"35901440\"]\n  21 [size=\"71410347\", alpha=\"0.11\", expect_size=\"21423104\"] \n  21 -> 22 [size =\"21423104\"]\n  22 [size=\"154071040\", alpha=\"0.13\", expect_size=\"46221312\"] \n  22 -> 23 [size =\"46221312\"]\n  23 [size=\"130027520\", alpha=\"0.03\", expect_size=\"39008256\"] \n  23 -> 24 [size =\"39008256\"]\n  24 [size=\"106397013\", alpha=\"0.17\", expect_size=\"31919104\"] \n  24 -> 25 [size =\"31919104\"]\n  25 [size=\"93344427\", alpha=\"0.15\", expect_size=\"28003328\"] \n  25 -> 26 [size =\"28003328\"]\n  26 [size=\"111725227\", alpha=\"0.07\", expect_size=\"33517568\"] \n  26 -> 27 [size =\"33517568\"]\n  27 [size=\"110643200\", alpha=\"0.07\", expect_size=\"33192960\"] \n  27 -> 28 [size =\"33192960\"]\n  28 [size=\"140233387\", alpha=\"0.11\", expect_size=\"42070016\"] \n  28 -> 29 [size =\"42070016\"]\n  29 [size=\"136427520\", alpha=\"0.09\", expect_size=\"40928256\"] \n  29 -> 30 [size =\"40928256\"]\n  30 [size=\"110749013\", alpha=\"0.09\", expect_size=\"33224704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72884907\", alpha=\"0.09\", expect_size=\"21865472\"] \n  1 -> 6 [size =\"21865472\"]\n  1 -> 7 [size =\"21865472\"]\n  1 -> 9 [size =\"21865472\"]\n  2 [size=\"68471467\", alpha=\"0.07\", expect_size=\"20541440\"] \n  3 [size=\"121449813\", alpha=\"0.06\", expect_size=\"36434944\"] \n  3 -> 8 [size =\"36434944\"]\n  4 [size=\"146957653\", alpha=\"0.01\", expect_size=\"44087296\"] \n  4 -> 6 [size =\"44087296\"]\n  4 -> 8 [size =\"44087296\"]\n  5 [size=\"130368853\", alpha=\"0.06\", expect_size=\"39110656\"] \n  5 -> 7 [size =\"39110656\"]\n  5 -> 8 [size =\"39110656\"]\n  5 -> 9 [size =\"39110656\"]\n  6 [size=\"18001920\", alpha=\"0.05\", expect_size=\"5400576\"] \n  6 -> 11 [size =\"5400576\"]\n  6 -> 12 [size =\"5400576\"]\n  6 -> 13 [size =\"5400576\"]\n  6 -> 14 [size =\"5400576\"]\n  7 [size=\"17725440\", alpha=\"0.16\", expect_size=\"5317632\"] \n  7 -> 10 [size =\"5317632\"]\n  7 -> 11 [size =\"5317632\"]\n  7 -> 12 [size =\"5317632\"]\n  7 -> 13 [size =\"5317632\"]\n  7 -> 14 [size =\"5317632\"]\n  8 [size=\"89142613\", alpha=\"0.11\", expect_size=\"26742784\"] \n  8 -> 13 [size =\"26742784\"]\n  9 [size=\"82455893\", alpha=\"0.02\", expect_size=\"24736768\"] \n  9 -> 10 [size =\"24736768\"]\n  9 -> 12 [size =\"24736768\"]\n  9 -> 14 [size =\"24736768\"]\n  10 [size=\"154525013\", alpha=\"0.18\", expect_size=\"46357504\"] \n  10 -> 16 [size =\"46357504\"]\n  10 -> 16 [size =\"46357504\"]\n  10 -> 17 [size =\"46357504\"]\n  11 [size=\"94900907\", alpha=\"0.02\", expect_size=\"28470272\"] \n  11 -> 15 [size =\"28470272\"]\n  11 -> 17 [size =\"28470272\"]\n  11 -> 18 [size =\"28470272\"]\n  12 [size=\"169154560\", alpha=\"0.14\", expect_size=\"50746368\"] \n  12 -> 15 [size =\"50746368\"]\n  13 [size=\"68625067\", alpha=\"0.11\", expect_size=\"20587520\"] \n  13 -> 15 [size =\"20587520\"]\n  13 -> 16 [size =\"20587520\"]\n  14 [size=\"114124800\", alpha=\"0.05\", expect_size=\"34237440\"] \n  14 -> 15 [size =\"34237440\"]\n  14 -> 16 [size =\"34237440\"]\n  14 -> 17 [size =\"34237440\"]\n  14 -> 18 [size =\"34237440\"]\n  15 [size=\"120292693\", alpha=\"0.07\", expect_size=\"36087808\"] \n  15 -> 20 [size =\"36087808\"]\n  15 -> 21 [size =\"36087808\"]\n  16 [size=\"170994347\", alpha=\"0.15\", expect_size=\"51298304\"] \n  16 -> 19 [size =\"51298304\"]\n  16 -> 20 [size =\"51298304\"]\n  16 -> 21 [size =\"51298304\"]\n  16 -> 22 [size =\"51298304\"]\n  16 -> 23 [size =\"51298304\"]\n  17 [size=\"51077120\", alpha=\"0.02\", expect_size=\"15323136\"] \n  17 -> 19 [size =\"15323136\"]\n  17 -> 23 [size =\"15323136\"]\n  18 [size=\"19244373\", alpha=\"0.18\", expect_size=\"5773312\"] \n  19 [size=\"106625707\", alpha=\"0.20\", expect_size=\"31987712\"] \n  19 -> 26 [size =\"31987712\"]\n  19 -> 26 [size =\"31987712\"]\n  19 -> 27 [size =\"31987712\"]\n  20 [size=\"124518400\", alpha=\"0.14\", expect_size=\"37355520\"] \n  20 -> 24 [size =\"37355520\"]\n  20 -> 25 [size =\"37355520\"]\n  21 [size=\"107451733\", alpha=\"0.15\", expect_size=\"32235520\"] \n  21 -> 25 [size =\"32235520\"]\n  21 -> 27 [size =\"32235520\"]\n  22 [size=\"124006400\", alpha=\"0.02\", expect_size=\"37201920\"] \n  22 -> 26 [size =\"37201920\"]\n  22 -> 27 [size =\"37201920\"]\n  22 -> 28 [size =\"37201920\"]\n  23 [size=\"76308480\", alpha=\"0.03\", expect_size=\"22892544\"] \n  23 -> 24 [size =\"22892544\"]\n  23 -> 26 [size =\"22892544\"]\n  24 [size=\"165382827\", alpha=\"0.00\", expect_size=\"49614848\"] \n  24 -> 29 [size =\"49614848\"]\n  25 [size=\"49978027\", alpha=\"0.12\", expect_size=\"14993408\"] \n  25 -> 30 [size =\"14993408\"]\n  26 [size=\"103953067\", alpha=\"0.03\", expect_size=\"31185920\"] \n  26 -> 30 [size =\"31185920\"]\n  27 [size=\"65163947\", alpha=\"0.15\", expect_size=\"19549184\"] \n  27 -> 30 [size =\"19549184\"]\n  28 [size=\"81954133\", alpha=\"0.16\", expect_size=\"24586240\"] \n  29 [size=\"69748053\", alpha=\"0.05\", expect_size=\"20924416\"] \n  30 [size=\"66143573\", alpha=\"0.11\", expect_size=\"19843072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26439680\", alpha=\"0.00\", expect_size=\"13219840\"] \n  1 -> 24 [size =\"13219840\"]\n  1 -> 28 [size =\"13219840\"]\n  1 -> 29 [size =\"13219840\"]\n  2 [size=\"79001600\", alpha=\"0.09\", expect_size=\"39500800\"] \n  2 -> 20 [size =\"39500800\"]\n  2 -> 26 [size =\"39500800\"]\n  2 -> 29 [size =\"39500800\"]\n  3 [size=\"89067520\", alpha=\"0.17\", expect_size=\"44533760\"] \n  3 -> 20 [size =\"44533760\"]\n  3 -> 24 [size =\"44533760\"]\n  3 -> 26 [size =\"44533760\"]\n  3 -> 27 [size =\"44533760\"]\n  3 -> 29 [size =\"44533760\"]\n  3 -> 30 [size =\"44533760\"]\n  4 [size=\"50569216\", alpha=\"0.16\", expect_size=\"25284608\"] \n  4 -> 20 [size =\"25284608\"]\n  4 -> 26 [size =\"25284608\"]\n  4 -> 26 [size =\"25284608\"]\n  4 -> 28 [size =\"25284608\"]\n  4 -> 29 [size =\"25284608\"]\n  5 [size=\"44847104\", alpha=\"0.04\", expect_size=\"22423552\"] \n  5 -> 20 [size =\"22423552\"]\n  5 -> 21 [size =\"22423552\"]\n  5 -> 23 [size =\"22423552\"]\n  5 -> 25 [size =\"22423552\"]\n  5 -> 26 [size =\"22423552\"]\n  5 -> 28 [size =\"22423552\"]\n  5 -> 29 [size =\"22423552\"]\n  6 [size=\"33325056\", alpha=\"0.01\", expect_size=\"16662528\"] \n  6 -> 20 [size =\"16662528\"]\n  6 -> 21 [size =\"16662528\"]\n  6 -> 23 [size =\"16662528\"]\n  6 -> 24 [size =\"16662528\"]\n  6 -> 25 [size =\"16662528\"]\n  6 -> 26 [size =\"16662528\"]\n  6 -> 28 [size =\"16662528\"]\n  6 -> 29 [size =\"16662528\"]\n  7 [size=\"32925696\", alpha=\"0.19\", expect_size=\"16462848\"] \n  7 -> 21 [size =\"16462848\"]\n  7 -> 23 [size =\"16462848\"]\n  7 -> 26 [size =\"16462848\"]\n  7 -> 27 [size =\"16462848\"]\n  7 -> 29 [size =\"16462848\"]\n  8 [size=\"73883648\", alpha=\"0.10\", expect_size=\"36941824\"] \n  8 -> 21 [size =\"36941824\"]\n  8 -> 26 [size =\"36941824\"]\n  8 -> 26 [size =\"36941824\"]\n  8 -> 28 [size =\"36941824\"]\n  8 -> 29 [size =\"36941824\"]\n  9 [size=\"85604352\", alpha=\"0.03\", expect_size=\"42802176\"] \n  9 -> 25 [size =\"42802176\"]\n  9 -> 26 [size =\"42802176\"]\n  9 -> 27 [size =\"42802176\"]\n  9 -> 28 [size =\"42802176\"]\n  9 -> 30 [size =\"42802176\"]\n  10 [size=\"102113280\", alpha=\"0.07\", expect_size=\"51056640\"] \n  10 -> 20 [size =\"51056640\"]\n  10 -> 25 [size =\"51056640\"]\n  10 -> 27 [size =\"51056640\"]\n  10 -> 28 [size =\"51056640\"]\n  11 [size=\"14403584\", alpha=\"0.19\", expect_size=\"7201792\"] \n  11 -> 22 [size =\"7201792\"]\n  11 -> 26 [size =\"7201792\"]\n  11 -> 27 [size =\"7201792\"]\n  11 -> 28 [size =\"7201792\"]\n  12 [size=\"16222208\", alpha=\"0.16\", expect_size=\"8111104\"] \n  12 -> 20 [size =\"8111104\"]\n  12 -> 22 [size =\"8111104\"]\n  12 -> 23 [size =\"8111104\"]\n  12 -> 26 [size =\"8111104\"]\n  12 -> 28 [size =\"8111104\"]\n  12 -> 29 [size =\"8111104\"]\n  12 -> 30 [size =\"8111104\"]\n  13 [size=\"58693632\", alpha=\"0.09\", expect_size=\"29346816\"] \n  13 -> 25 [size =\"29346816\"]\n  14 [size=\"44761088\", alpha=\"0.03\", expect_size=\"22380544\"] \n  14 -> 24 [size =\"22380544\"]\n  14 -> 26 [size =\"22380544\"]\n  14 -> 27 [size =\"22380544\"]\n  14 -> 29 [size =\"22380544\"]\n  15 [size=\"23586816\", alpha=\"0.07\", expect_size=\"11793408\"] \n  15 -> 21 [size =\"11793408\"]\n  15 -> 24 [size =\"11793408\"]\n  15 -> 25 [size =\"11793408\"]\n  15 -> 26 [size =\"11793408\"]\n  16 [size=\"42424320\", alpha=\"0.06\", expect_size=\"21212160\"] \n  16 -> 23 [size =\"21212160\"]\n  16 -> 24 [size =\"21212160\"]\n  16 -> 25 [size =\"21212160\"]\n  16 -> 27 [size =\"21212160\"]\n  16 -> 29 [size =\"21212160\"]\n  17 [size=\"47824896\", alpha=\"0.15\", expect_size=\"23912448\"] \n  17 -> 20 [size =\"23912448\"]\n  17 -> 24 [size =\"23912448\"]\n  17 -> 27 [size =\"23912448\"]\n  17 -> 28 [size =\"23912448\"]\n  18 [size=\"41019392\", alpha=\"0.19\", expect_size=\"20509696\"] \n  18 -> 23 [size =\"20509696\"]\n  18 -> 24 [size =\"20509696\"]\n  18 -> 25 [size =\"20509696\"]\n  18 -> 28 [size =\"20509696\"]\n  18 -> 29 [size =\"20509696\"]\n  19 [size=\"86579200\", alpha=\"0.13\", expect_size=\"43289600\"] \n  19 -> 23 [size =\"43289600\"]\n  19 -> 24 [size =\"43289600\"]\n  19 -> 28 [size =\"43289600\"]\n  19 -> 29 [size =\"43289600\"]\n  20 [size=\"102402048\", alpha=\"0.10\", expect_size=\"51201024\"] \n  21 [size=\"40783872\", alpha=\"0.09\", expect_size=\"20391936\"] \n  22 [size=\"36220928\", alpha=\"0.04\", expect_size=\"18110464\"] \n  23 [size=\"17526784\", alpha=\"0.15\", expect_size=\"8763392\"] \n  24 [size=\"60190720\", alpha=\"0.14\", expect_size=\"30095360\"] \n  25 [size=\"72073216\", alpha=\"0.01\", expect_size=\"36036608\"] \n  26 [size=\"104804352\", alpha=\"0.12\", expect_size=\"52402176\"] \n  27 [size=\"37543936\", alpha=\"0.08\", expect_size=\"18771968\"] \n  28 [size=\"12609536\", alpha=\"0.18\", expect_size=\"6304768\"] \n  29 [size=\"102600704\", alpha=\"0.04\", expect_size=\"51300352\"] \n  30 [size=\"71200768\", alpha=\"0.09\", expect_size=\"35600384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144974507\", alpha=\"0.07\", expect_size=\"43492352\"] \n  1 -> 2 [size =\"43492352\"]\n  1 -> 3 [size =\"43492352\"]\n  2 [size=\"102004053\", alpha=\"0.18\", expect_size=\"30601216\"] \n  2 -> 4 [size =\"30601216\"]\n  2 -> 5 [size =\"30601216\"]\n  3 [size=\"41625600\", alpha=\"0.04\", expect_size=\"12487680\"] \n  3 -> 5 [size =\"12487680\"]\n  4 [size=\"108141227\", alpha=\"0.11\", expect_size=\"32442368\"] \n  4 -> 6 [size =\"32442368\"]\n  4 -> 7 [size =\"32442368\"]\n  5 [size=\"19903147\", alpha=\"0.09\", expect_size=\"5970944\"] \n  5 -> 7 [size =\"5970944\"]\n  6 [size=\"140595200\", alpha=\"0.07\", expect_size=\"42178560\"] \n  6 -> 8 [size =\"42178560\"]\n  6 -> 9 [size =\"42178560\"]\n  7 [size=\"165642240\", alpha=\"0.07\", expect_size=\"49692672\"] \n  7 -> 8 [size =\"49692672\"]\n  8 [size=\"155197440\", alpha=\"0.05\", expect_size=\"46559232\"] \n  8 -> 10 [size =\"46559232\"]\n  9 [size=\"113749333\", alpha=\"0.02\", expect_size=\"34124800\"] \n  10 [size=\"166109867\", alpha=\"0.13\", expect_size=\"49832960\"] \n  10 -> 11 [size =\"49832960\"]\n  10 -> 12 [size =\"49832960\"]\n  11 [size=\"48667307\", alpha=\"0.10\", expect_size=\"14600192\"] \n  12 [size=\"105601707\", alpha=\"0.06\", expect_size=\"31680512\"] \n  12 -> 13 [size =\"31680512\"]\n  13 [size=\"88231253\", alpha=\"0.05\", expect_size=\"26469376\"] \n  13 -> 14 [size =\"26469376\"]\n  13 -> 15 [size =\"26469376\"]\n  14 [size=\"117544960\", alpha=\"0.11\", expect_size=\"35263488\"] \n  14 -> 16 [size =\"35263488\"]\n  15 [size=\"48954027\", alpha=\"0.05\", expect_size=\"14686208\"] \n  16 [size=\"120384853\", alpha=\"0.14\", expect_size=\"36115456\"] \n  16 -> 17 [size =\"36115456\"]\n  16 -> 18 [size =\"36115456\"]\n  17 [size=\"172875093\", alpha=\"0.15\", expect_size=\"51862528\"] \n  17 -> 19 [size =\"51862528\"]\n  17 -> 20 [size =\"51862528\"]\n  18 [size=\"72946347\", alpha=\"0.01\", expect_size=\"21883904\"] \n  18 -> 20 [size =\"21883904\"]\n  19 [size=\"108366507\", alpha=\"0.07\", expect_size=\"32509952\"] \n  19 -> 21 [size =\"32509952\"]\n  19 -> 22 [size =\"32509952\"]\n  20 [size=\"122781013\", alpha=\"0.06\", expect_size=\"36834304\"] \n  21 [size=\"66071893\", alpha=\"0.00\", expect_size=\"19821568\"] \n  21 -> 23 [size =\"19821568\"]\n  21 -> 24 [size =\"19821568\"]\n  22 [size=\"145131520\", alpha=\"0.05\", expect_size=\"43539456\"] \n  23 [size=\"37430613\", alpha=\"0.14\", expect_size=\"11229184\"] \n  23 -> 25 [size =\"11229184\"]\n  24 [size=\"73908907\", alpha=\"0.14\", expect_size=\"22172672\"] \n  25 [size=\"161259520\", alpha=\"0.14\", expect_size=\"48377856\"] \n  25 -> 26 [size =\"48377856\"]\n  25 -> 27 [size =\"48377856\"]\n  26 [size=\"46359893\", alpha=\"0.10\", expect_size=\"13907968\"] \n  27 [size=\"159894187\", alpha=\"0.05\", expect_size=\"47968256\"] \n  27 -> 28 [size =\"47968256\"]\n  27 -> 29 [size =\"47968256\"]\n  28 [size=\"118780587\", alpha=\"0.17\", expect_size=\"35634176\"] \n  28 -> 30 [size =\"35634176\"]\n  29 [size=\"129078613\", alpha=\"0.01\", expect_size=\"38723584\"] \n  29 -> 30 [size =\"38723584\"]\n  30 [size=\"28013227\", alpha=\"0.05\", expect_size=\"8403968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21348352\", alpha=\"0.19\", expect_size=\"10674176\"] \n  1 -> 6 [size =\"10674176\"]\n  1 -> 9 [size =\"10674176\"]\n  1 -> 10 [size =\"10674176\"]\n  2 [size=\"92815360\", alpha=\"0.15\", expect_size=\"46407680\"] \n  2 -> 9 [size =\"46407680\"]\n  2 -> 10 [size =\"46407680\"]\n  3 [size=\"101230592\", alpha=\"0.11\", expect_size=\"50615296\"] \n  3 -> 7 [size =\"50615296\"]\n  4 [size=\"48332800\", alpha=\"0.14\", expect_size=\"24166400\"] \n  4 -> 7 [size =\"24166400\"]\n  4 -> 8 [size =\"24166400\"]\n  4 -> 9 [size =\"24166400\"]\n  4 -> 10 [size =\"24166400\"]\n  5 [size=\"27006976\", alpha=\"0.03\", expect_size=\"13503488\"] \n  5 -> 8 [size =\"13503488\"]\n  6 [size=\"76953600\", alpha=\"0.02\", expect_size=\"38476800\"] \n  6 -> 11 [size =\"38476800\"]\n  6 -> 12 [size =\"38476800\"]\n  6 -> 13 [size =\"38476800\"]\n  6 -> 15 [size =\"38476800\"]\n  7 [size=\"91545600\", alpha=\"0.19\", expect_size=\"45772800\"] \n  7 -> 11 [size =\"45772800\"]\n  8 [size=\"103854080\", alpha=\"0.05\", expect_size=\"51927040\"] \n  8 -> 13 [size =\"51927040\"]\n  9 [size=\"66496512\", alpha=\"0.02\", expect_size=\"33248256\"] \n  9 -> 13 [size =\"33248256\"]\n  9 -> 15 [size =\"33248256\"]\n  10 [size=\"101855232\", alpha=\"0.14\", expect_size=\"50927616\"] \n  10 -> 11 [size =\"50927616\"]\n  10 -> 14 [size =\"50927616\"]\n  11 [size=\"34113536\", alpha=\"0.05\", expect_size=\"17056768\"] \n  11 -> 16 [size =\"17056768\"]\n  12 [size=\"31703040\", alpha=\"0.06\", expect_size=\"15851520\"] \n  12 -> 17 [size =\"15851520\"]\n  13 [size=\"103624704\", alpha=\"0.12\", expect_size=\"51812352\"] \n  13 -> 19 [size =\"51812352\"]\n  14 [size=\"60155904\", alpha=\"0.18\", expect_size=\"30077952\"] \n  14 -> 16 [size =\"30077952\"]\n  14 -> 18 [size =\"30077952\"]\n  14 -> 19 [size =\"30077952\"]\n  15 [size=\"30871552\", alpha=\"0.08\", expect_size=\"15435776\"] \n  15 -> 16 [size =\"15435776\"]\n  15 -> 18 [size =\"15435776\"]\n  15 -> 19 [size =\"15435776\"]\n  16 [size=\"43843584\", alpha=\"0.10\", expect_size=\"21921792\"] \n  16 -> 20 [size =\"21921792\"]\n  16 -> 21 [size =\"21921792\"]\n  16 -> 22 [size =\"21921792\"]\n  17 [size=\"53563392\", alpha=\"0.02\", expect_size=\"26781696\"] \n  17 -> 24 [size =\"26781696\"]\n  18 [size=\"49420288\", alpha=\"0.15\", expect_size=\"24710144\"] \n  18 -> 20 [size =\"24710144\"]\n  18 -> 23 [size =\"24710144\"]\n  19 [size=\"71516160\", alpha=\"0.03\", expect_size=\"35758080\"] \n  19 -> 21 [size =\"35758080\"]\n  19 -> 24 [size =\"35758080\"]\n  20 [size=\"81354752\", alpha=\"0.06\", expect_size=\"40677376\"] \n  20 -> 26 [size =\"40677376\"]\n  20 -> 27 [size =\"40677376\"]\n  20 -> 29 [size =\"40677376\"]\n  21 [size=\"53239808\", alpha=\"0.11\", expect_size=\"26619904\"] \n  21 -> 26 [size =\"26619904\"]\n  21 -> 28 [size =\"26619904\"]\n  22 [size=\"76154880\", alpha=\"0.13\", expect_size=\"38077440\"] \n  22 -> 27 [size =\"38077440\"]\n  22 -> 29 [size =\"38077440\"]\n  23 [size=\"104310784\", alpha=\"0.14\", expect_size=\"52155392\"] \n  23 -> 25 [size =\"52155392\"]\n  23 -> 28 [size =\"52155392\"]\n  23 -> 29 [size =\"52155392\"]\n  24 [size=\"67371008\", alpha=\"0.04\", expect_size=\"33685504\"] \n  24 -> 25 [size =\"33685504\"]\n  24 -> 26 [size =\"33685504\"]\n  25 [size=\"56342528\", alpha=\"0.17\", expect_size=\"28171264\"] \n  25 -> 30 [size =\"28171264\"]\n  26 [size=\"92272640\", alpha=\"0.04\", expect_size=\"46136320\"] \n  27 [size=\"45203456\", alpha=\"0.09\", expect_size=\"22601728\"] \n  28 [size=\"53991424\", alpha=\"0.13\", expect_size=\"26995712\"] \n  29 [size=\"32045056\", alpha=\"0.09\", expect_size=\"16022528\"] \n  29 -> 30 [size =\"16022528\"]\n  30 [size=\"46583808\", alpha=\"0.04\", expect_size=\"23291904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26585600\", alpha=\"0.10\", expect_size=\"10634240\"] \n  1 -> 11 [size =\"10634240\"]\n  1 -> 13 [size =\"10634240\"]\n  1 -> 14 [size =\"10634240\"]\n  1 -> 15 [size =\"10634240\"]\n  2 [size=\"96760320\", alpha=\"0.13\", expect_size=\"38704128\"] \n  2 -> 9 [size =\"38704128\"]\n  2 -> 11 [size =\"38704128\"]\n  2 -> 15 [size =\"38704128\"]\n  3 [size=\"118789120\", alpha=\"0.01\", expect_size=\"47515648\"] \n  3 -> 9 [size =\"47515648\"]\n  3 -> 12 [size =\"47515648\"]\n  3 -> 13 [size =\"47515648\"]\n  4 [size=\"21399040\", alpha=\"0.19\", expect_size=\"8559616\"] \n  4 -> 11 [size =\"8559616\"]\n  4 -> 12 [size =\"8559616\"]\n  4 -> 15 [size =\"8559616\"]\n  5 [size=\"103953920\", alpha=\"0.12\", expect_size=\"41581568\"] \n  5 -> 9 [size =\"41581568\"]\n  5 -> 10 [size =\"41581568\"]\n  5 -> 11 [size =\"41581568\"]\n  5 -> 12 [size =\"41581568\"]\n  5 -> 14 [size =\"41581568\"]\n  5 -> 15 [size =\"41581568\"]\n  6 [size=\"13734400\", alpha=\"0.05\", expect_size=\"5493760\"] \n  6 -> 9 [size =\"5493760\"]\n  6 -> 10 [size =\"5493760\"]\n  6 -> 11 [size =\"5493760\"]\n  6 -> 12 [size =\"5493760\"]\n  6 -> 14 [size =\"5493760\"]\n  6 -> 15 [size =\"5493760\"]\n  7 [size=\"26936320\", alpha=\"0.11\", expect_size=\"10774528\"] \n  7 -> 10 [size =\"10774528\"]\n  7 -> 12 [size =\"10774528\"]\n  7 -> 14 [size =\"10774528\"]\n  8 [size=\"51514880\", alpha=\"0.07\", expect_size=\"20605952\"] \n  8 -> 9 [size =\"20605952\"]\n  8 -> 12 [size =\"20605952\"]\n  8 -> 14 [size =\"20605952\"]\n  9 [size=\"34716160\", alpha=\"0.19\", expect_size=\"13886464\"] \n  9 -> 17 [size =\"13886464\"]\n  9 -> 19 [size =\"13886464\"]\n  9 -> 20 [size =\"13886464\"]\n  9 -> 21 [size =\"13886464\"]\n  9 -> 22 [size =\"13886464\"]\n  9 -> 26 [size =\"13886464\"]\n  10 [size=\"72650240\", alpha=\"0.19\", expect_size=\"29060096\"] \n  10 -> 21 [size =\"29060096\"]\n  10 -> 25 [size =\"29060096\"]\n  10 -> 26 [size =\"29060096\"]\n  11 [size=\"74485760\", alpha=\"0.10\", expect_size=\"29794304\"] \n  11 -> 17 [size =\"29794304\"]\n  11 -> 18 [size =\"29794304\"]\n  11 -> 21 [size =\"29794304\"]\n  11 -> 24 [size =\"29794304\"]\n  11 -> 25 [size =\"29794304\"]\n  11 -> 26 [size =\"29794304\"]\n  12 [size=\"16076800\", alpha=\"0.03\", expect_size=\"6430720\"] \n  12 -> 18 [size =\"6430720\"]\n  12 -> 18 [size =\"6430720\"]\n  12 -> 23 [size =\"6430720\"]\n  12 -> 24 [size =\"6430720\"]\n  13 [size=\"92096000\", alpha=\"0.00\", expect_size=\"36838400\"] \n  13 -> 17 [size =\"36838400\"]\n  13 -> 18 [size =\"36838400\"]\n  13 -> 20 [size =\"36838400\"]\n  13 -> 22 [size =\"36838400\"]\n  13 -> 24 [size =\"36838400\"]\n  13 -> 26 [size =\"36838400\"]\n  13 -> 27 [size =\"36838400\"]\n  14 [size=\"99809280\", alpha=\"0.16\", expect_size=\"39923712\"] \n  14 -> 16 [size =\"39923712\"]\n  14 -> 17 [size =\"39923712\"]\n  14 -> 18 [size =\"39923712\"]\n  14 -> 20 [size =\"39923712\"]\n  14 -> 22 [size =\"39923712\"]\n  14 -> 23 [size =\"39923712\"]\n  14 -> 24 [size =\"39923712\"]\n  14 -> 25 [size =\"39923712\"]\n  14 -> 26 [size =\"39923712\"]\n  14 -> 27 [size =\"39923712\"]\n  15 [size=\"95016960\", alpha=\"0.03\", expect_size=\"38006784\"] \n  15 -> 21 [size =\"38006784\"]\n  15 -> 23 [size =\"38006784\"]\n  15 -> 25 [size =\"38006784\"]\n  16 [size=\"45127680\", alpha=\"0.06\", expect_size=\"18051072\"] \n  16 -> 28 [size =\"18051072\"]\n  17 [size=\"74286080\", alpha=\"0.03\", expect_size=\"29714432\"] \n  17 -> 28 [size =\"29714432\"]\n  17 -> 30 [size =\"29714432\"]\n  18 [size=\"22840320\", alpha=\"0.03\", expect_size=\"9136128\"] \n  19 [size=\"64061440\", alpha=\"0.10\", expect_size=\"25624576\"] \n  19 -> 30 [size =\"25624576\"]\n  20 [size=\"60451840\", alpha=\"0.17\", expect_size=\"24180736\"] \n  21 [size=\"54082560\", alpha=\"0.06\", expect_size=\"21633024\"] \n  22 [size=\"111546880\", alpha=\"0.10\", expect_size=\"44618752\"] \n  23 [size=\"128194560\", alpha=\"0.11\", expect_size=\"51277824\"] \n  24 [size=\"130964480\", alpha=\"0.14\", expect_size=\"52385792\"] \n  24 -> 28 [size =\"52385792\"]\n  24 -> 30 [size =\"52385792\"]\n  25 [size=\"109839360\", alpha=\"0.13\", expect_size=\"43935744\"] \n  25 -> 29 [size =\"43935744\"]\n  26 [size=\"125086720\", alpha=\"0.11\", expect_size=\"50034688\"] \n  27 [size=\"39943680\", alpha=\"0.12\", expect_size=\"15977472\"] \n  28 [size=\"57571840\", alpha=\"0.19\", expect_size=\"23028736\"] \n  29 [size=\"77798400\", alpha=\"0.10\", expect_size=\"31119360\"] \n  30 [size=\"17226240\", alpha=\"0.11\", expect_size=\"6890496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48592213\", alpha=\"0.16\", expect_size=\"14577664\"] \n  1 -> 2 [size =\"14577664\"]\n  2 [size=\"61296640\", alpha=\"0.05\", expect_size=\"18388992\"] \n  2 -> 3 [size =\"18388992\"]\n  3 [size=\"136987307\", alpha=\"0.11\", expect_size=\"41096192\"] \n  3 -> 4 [size =\"41096192\"]\n  4 [size=\"99700053\", alpha=\"0.10\", expect_size=\"29910016\"] \n  4 -> 5 [size =\"29910016\"]\n  5 [size=\"53060267\", alpha=\"0.13\", expect_size=\"15918080\"] \n  5 -> 6 [size =\"15918080\"]\n  6 [size=\"18005333\", alpha=\"0.06\", expect_size=\"5401600\"] \n  6 -> 7 [size =\"5401600\"]\n  7 [size=\"70263467\", alpha=\"0.12\", expect_size=\"21079040\"] \n  7 -> 8 [size =\"21079040\"]\n  8 [size=\"36894720\", alpha=\"0.12\", expect_size=\"11068416\"] \n  8 -> 9 [size =\"11068416\"]\n  9 [size=\"132201813\", alpha=\"0.18\", expect_size=\"39660544\"] \n  9 -> 10 [size =\"39660544\"]\n  10 [size=\"42874880\", alpha=\"0.05\", expect_size=\"12862464\"] \n  10 -> 11 [size =\"12862464\"]\n  11 [size=\"32010240\", alpha=\"0.13\", expect_size=\"9603072\"] \n  11 -> 12 [size =\"9603072\"]\n  12 [size=\"157153280\", alpha=\"0.14\", expect_size=\"47145984\"] \n  12 -> 13 [size =\"47145984\"]\n  13 [size=\"43059200\", alpha=\"0.09\", expect_size=\"12917760\"] \n  13 -> 14 [size =\"12917760\"]\n  14 [size=\"132686507\", alpha=\"0.01\", expect_size=\"39805952\"] \n  14 -> 15 [size =\"39805952\"]\n  15 [size=\"50903040\", alpha=\"0.10\", expect_size=\"15270912\"] \n  15 -> 16 [size =\"15270912\"]\n  16 [size=\"152907093\", alpha=\"0.17\", expect_size=\"45872128\"] \n  16 -> 17 [size =\"45872128\"]\n  17 [size=\"38993920\", alpha=\"0.13\", expect_size=\"11698176\"] \n  17 -> 18 [size =\"11698176\"]\n  18 [size=\"133024427\", alpha=\"0.06\", expect_size=\"39907328\"] \n  18 -> 19 [size =\"39907328\"]\n  19 [size=\"72133973\", alpha=\"0.09\", expect_size=\"21640192\"] \n  19 -> 20 [size =\"21640192\"]\n  20 [size=\"54565547\", alpha=\"0.07\", expect_size=\"16369664\"] \n  20 -> 21 [size =\"16369664\"]\n  21 [size=\"93378560\", alpha=\"0.09\", expect_size=\"28013568\"] \n  21 -> 22 [size =\"28013568\"]\n  22 [size=\"37133653\", alpha=\"0.17\", expect_size=\"11140096\"] \n  22 -> 23 [size =\"11140096\"]\n  23 [size=\"146070187\", alpha=\"0.20\", expect_size=\"43821056\"] \n  23 -> 24 [size =\"43821056\"]\n  24 [size=\"62453760\", alpha=\"0.13\", expect_size=\"18736128\"] \n  24 -> 25 [size =\"18736128\"]\n  25 [size=\"71355733\", alpha=\"0.11\", expect_size=\"21406720\"] \n  25 -> 26 [size =\"21406720\"]\n  26 [size=\"151773867\", alpha=\"0.09\", expect_size=\"45532160\"] \n  26 -> 27 [size =\"45532160\"]\n  27 [size=\"127074987\", alpha=\"0.13\", expect_size=\"38122496\"] \n  27 -> 28 [size =\"38122496\"]\n  28 [size=\"69891413\", alpha=\"0.00\", expect_size=\"20967424\"] \n  28 -> 29 [size =\"20967424\"]\n  29 [size=\"114486613\", alpha=\"0.02\", expect_size=\"34345984\"] \n  29 -> 30 [size =\"34345984\"]\n  30 [size=\"28197547\", alpha=\"0.07\", expect_size=\"8459264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156750507\", alpha=\"0.10\", expect_size=\"47025152\"] \n  1 -> 5 [size =\"47025152\"]\n  1 -> 7 [size =\"47025152\"]\n  2 [size=\"163693227\", alpha=\"0.03\", expect_size=\"49107968\"] \n  2 -> 6 [size =\"49107968\"]\n  2 -> 8 [size =\"49107968\"]\n  2 -> 9 [size =\"49107968\"]\n  3 [size=\"60395520\", alpha=\"0.16\", expect_size=\"18118656\"] \n  4 [size=\"173455360\", alpha=\"0.17\", expect_size=\"52036608\"] \n  4 -> 5 [size =\"52036608\"]\n  4 -> 6 [size =\"52036608\"]\n  5 [size=\"119319893\", alpha=\"0.19\", expect_size=\"35795968\"] \n  5 -> 10 [size =\"35795968\"]\n  5 -> 11 [size =\"35795968\"]\n  6 [size=\"162655573\", alpha=\"0.10\", expect_size=\"48796672\"] \n  6 -> 11 [size =\"48796672\"]\n  7 [size=\"133406720\", alpha=\"0.13\", expect_size=\"40022016\"] \n  7 -> 12 [size =\"40022016\"]\n  7 -> 13 [size =\"40022016\"]\n  8 [size=\"103550293\", alpha=\"0.19\", expect_size=\"31065088\"] \n  8 -> 13 [size =\"31065088\"]\n  9 [size=\"143602347\", alpha=\"0.02\", expect_size=\"43080704\"] \n  9 -> 10 [size =\"43080704\"]\n  10 [size=\"111431680\", alpha=\"0.01\", expect_size=\"33429504\"] \n  10 -> 14 [size =\"33429504\"]\n  10 -> 15 [size =\"33429504\"]\n  10 -> 16 [size =\"33429504\"]\n  10 -> 17 [size =\"33429504\"]\n  11 [size=\"103301120\", alpha=\"0.08\", expect_size=\"30990336\"] \n  11 -> 18 [size =\"30990336\"]\n  12 [size=\"21872640\", alpha=\"0.09\", expect_size=\"6561792\"] \n  12 -> 14 [size =\"6561792\"]\n  12 -> 18 [size =\"6561792\"]\n  13 [size=\"48537600\", alpha=\"0.14\", expect_size=\"14561280\"] \n  14 [size=\"173800107\", alpha=\"0.01\", expect_size=\"52140032\"] \n  14 -> 20 [size =\"52140032\"]\n  14 -> 23 [size =\"52140032\"]\n  15 [size=\"149896533\", alpha=\"0.09\", expect_size=\"44968960\"] \n  15 -> 23 [size =\"44968960\"]\n  15 -> 23 [size =\"44968960\"]\n  16 [size=\"143834453\", alpha=\"0.06\", expect_size=\"43150336\"] \n  16 -> 21 [size =\"43150336\"]\n  16 -> 22 [size =\"43150336\"]\n  17 [size=\"61832533\", alpha=\"0.13\", expect_size=\"18549760\"] \n  17 -> 19 [size =\"18549760\"]\n  17 -> 21 [size =\"18549760\"]\n  17 -> 22 [size =\"18549760\"]\n  18 [size=\"160354987\", alpha=\"0.04\", expect_size=\"48106496\"] \n  18 -> 21 [size =\"48106496\"]\n  18 -> 22 [size =\"48106496\"]\n  19 [size=\"148797440\", alpha=\"0.09\", expect_size=\"44639232\"] \n  19 -> 28 [size =\"44639232\"]\n  20 [size=\"166266880\", alpha=\"0.11\", expect_size=\"49880064\"] \n  20 -> 25 [size =\"49880064\"]\n  20 -> 26 [size =\"49880064\"]\n  20 -> 27 [size =\"49880064\"]\n  21 [size=\"171315200\", alpha=\"0.11\", expect_size=\"51394560\"] \n  21 -> 25 [size =\"51394560\"]\n  21 -> 26 [size =\"51394560\"]\n  22 [size=\"77540693\", alpha=\"0.09\", expect_size=\"23262208\"] \n  22 -> 24 [size =\"23262208\"]\n  23 [size=\"144936960\", alpha=\"0.12\", expect_size=\"43481088\"] \n  23 -> 25 [size =\"43481088\"]\n  23 -> 27 [size =\"43481088\"]\n  24 [size=\"95522133\", alpha=\"0.16\", expect_size=\"28656640\"] \n  24 -> 29 [size =\"28656640\"]\n  25 [size=\"102324907\", alpha=\"0.12\", expect_size=\"30697472\"] \n  25 -> 29 [size =\"30697472\"]\n  26 [size=\"19281920\", alpha=\"0.07\", expect_size=\"5784576\"] \n  26 -> 29 [size =\"5784576\"]\n  26 -> 30 [size =\"5784576\"]\n  27 [size=\"68993707\", alpha=\"0.17\", expect_size=\"20698112\"] \n  28 [size=\"173305173\", alpha=\"0.17\", expect_size=\"51991552\"] \n  28 -> 30 [size =\"51991552\"]\n  29 [size=\"50158933\", alpha=\"0.14\", expect_size=\"15047680\"] \n  30 [size=\"122763947\", alpha=\"0.02\", expect_size=\"36829184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38686720\", alpha=\"0.14\", expect_size=\"19343360\"] \n  1 -> 21 [size =\"19343360\"]\n  1 -> 24 [size =\"19343360\"]\n  1 -> 25 [size =\"19343360\"]\n  1 -> 25 [size =\"19343360\"]\n  1 -> 26 [size =\"19343360\"]\n  1 -> 26 [size =\"19343360\"]\n  2 [size=\"92911616\", alpha=\"0.10\", expect_size=\"46455808\"] \n  2 -> 21 [size =\"46455808\"]\n  2 -> 24 [size =\"46455808\"]\n  2 -> 26 [size =\"46455808\"]\n  2 -> 27 [size =\"46455808\"]\n  2 -> 29 [size =\"46455808\"]\n  3 [size=\"57249792\", alpha=\"0.19\", expect_size=\"28624896\"] \n  3 -> 21 [size =\"28624896\"]\n  3 -> 23 [size =\"28624896\"]\n  3 -> 26 [size =\"28624896\"]\n  3 -> 28 [size =\"28624896\"]\n  3 -> 29 [size =\"28624896\"]\n  4 [size=\"44818432\", alpha=\"0.18\", expect_size=\"22409216\"] \n  4 -> 21 [size =\"22409216\"]\n  4 -> 22 [size =\"22409216\"]\n  4 -> 23 [size =\"22409216\"]\n  4 -> 26 [size =\"22409216\"]\n  4 -> 29 [size =\"22409216\"]\n  5 [size=\"34912256\", alpha=\"0.07\", expect_size=\"17456128\"] \n  5 -> 21 [size =\"17456128\"]\n  5 -> 23 [size =\"17456128\"]\n  5 -> 23 [size =\"17456128\"]\n  5 -> 24 [size =\"17456128\"]\n  5 -> 27 [size =\"17456128\"]\n  5 -> 28 [size =\"17456128\"]\n  6 [size=\"96143360\", alpha=\"0.20\", expect_size=\"48071680\"] \n  6 -> 21 [size =\"48071680\"]\n  6 -> 23 [size =\"48071680\"]\n  6 -> 24 [size =\"48071680\"]\n  6 -> 28 [size =\"48071680\"]\n  6 -> 29 [size =\"48071680\"]\n  7 [size=\"19857408\", alpha=\"0.17\", expect_size=\"9928704\"] \n  7 -> 21 [size =\"9928704\"]\n  7 -> 24 [size =\"9928704\"]\n  7 -> 25 [size =\"9928704\"]\n  7 -> 28 [size =\"9928704\"]\n  7 -> 29 [size =\"9928704\"]\n  8 [size=\"68698112\", alpha=\"0.05\", expect_size=\"34349056\"] \n  8 -> 21 [size =\"34349056\"]\n  8 -> 22 [size =\"34349056\"]\n  8 -> 25 [size =\"34349056\"]\n  8 -> 28 [size =\"34349056\"]\n  8 -> 29 [size =\"34349056\"]\n  9 [size=\"86255616\", alpha=\"0.05\", expect_size=\"43127808\"] \n  9 -> 21 [size =\"43127808\"]\n  9 -> 24 [size =\"43127808\"]\n  9 -> 25 [size =\"43127808\"]\n  9 -> 29 [size =\"43127808\"]\n  9 -> 29 [size =\"43127808\"]\n  10 [size=\"31660032\", alpha=\"0.15\", expect_size=\"15830016\"] \n  10 -> 21 [size =\"15830016\"]\n  10 -> 24 [size =\"15830016\"]\n  10 -> 25 [size =\"15830016\"]\n  10 -> 26 [size =\"15830016\"]\n  10 -> 29 [size =\"15830016\"]\n  10 -> 30 [size =\"15830016\"]\n  11 [size=\"33988608\", alpha=\"0.04\", expect_size=\"16994304\"] \n  11 -> 21 [size =\"16994304\"]\n  11 -> 25 [size =\"16994304\"]\n  11 -> 25 [size =\"16994304\"]\n  11 -> 27 [size =\"16994304\"]\n  11 -> 28 [size =\"16994304\"]\n  12 [size=\"102336512\", alpha=\"0.17\", expect_size=\"51168256\"] \n  12 -> 21 [size =\"51168256\"]\n  12 -> 23 [size =\"51168256\"]\n  12 -> 25 [size =\"51168256\"]\n  12 -> 27 [size =\"51168256\"]\n  12 -> 28 [size =\"51168256\"]\n  12 -> 29 [size =\"51168256\"]\n  13 [size=\"53858304\", alpha=\"0.11\", expect_size=\"26929152\"] \n  13 -> 21 [size =\"26929152\"]\n  13 -> 24 [size =\"26929152\"]\n  13 -> 25 [size =\"26929152\"]\n  13 -> 26 [size =\"26929152\"]\n  13 -> 27 [size =\"26929152\"]\n  14 [size=\"50204672\", alpha=\"0.10\", expect_size=\"25102336\"] \n  14 -> 24 [size =\"25102336\"]\n  14 -> 24 [size =\"25102336\"]\n  14 -> 25 [size =\"25102336\"]\n  14 -> 27 [size =\"25102336\"]\n  14 -> 29 [size =\"25102336\"]\n  15 [size=\"39958528\", alpha=\"0.15\", expect_size=\"19979264\"] \n  15 -> 22 [size =\"19979264\"]\n  15 -> 24 [size =\"19979264\"]\n  15 -> 25 [size =\"19979264\"]\n  15 -> 26 [size =\"19979264\"]\n  15 -> 27 [size =\"19979264\"]\n  15 -> 29 [size =\"19979264\"]\n  16 [size=\"75122688\", alpha=\"0.00\", expect_size=\"37561344\"] \n  16 -> 21 [size =\"37561344\"]\n  16 -> 23 [size =\"37561344\"]\n  16 -> 24 [size =\"37561344\"]\n  16 -> 26 [size =\"37561344\"]\n  16 -> 29 [size =\"37561344\"]\n  17 [size=\"74383360\", alpha=\"0.12\", expect_size=\"37191680\"] \n  17 -> 21 [size =\"37191680\"]\n  17 -> 23 [size =\"37191680\"]\n  17 -> 24 [size =\"37191680\"]\n  17 -> 25 [size =\"37191680\"]\n  17 -> 26 [size =\"37191680\"]\n  17 -> 27 [size =\"37191680\"]\n  17 -> 28 [size =\"37191680\"]\n  17 -> 29 [size =\"37191680\"]\n  18 [size=\"60561408\", alpha=\"0.01\", expect_size=\"30280704\"] \n  18 -> 21 [size =\"30280704\"]\n  18 -> 22 [size =\"30280704\"]\n  18 -> 23 [size =\"30280704\"]\n  18 -> 24 [size =\"30280704\"]\n  18 -> 25 [size =\"30280704\"]\n  18 -> 26 [size =\"30280704\"]\n  18 -> 27 [size =\"30280704\"]\n  18 -> 30 [size =\"30280704\"]\n  19 [size=\"81813504\", alpha=\"0.12\", expect_size=\"40906752\"] \n  19 -> 21 [size =\"40906752\"]\n  19 -> 23 [size =\"40906752\"]\n  19 -> 24 [size =\"40906752\"]\n  19 -> 24 [size =\"40906752\"]\n  19 -> 25 [size =\"40906752\"]\n  19 -> 26 [size =\"40906752\"]\n  19 -> 29 [size =\"40906752\"]\n  20 [size=\"12675072\", alpha=\"0.17\", expect_size=\"6337536\"] \n  20 -> 21 [size =\"6337536\"]\n  20 -> 24 [size =\"6337536\"]\n  20 -> 24 [size =\"6337536\"]\n  20 -> 25 [size =\"6337536\"]\n  20 -> 25 [size =\"6337536\"]\n  20 -> 26 [size =\"6337536\"]\n  20 -> 28 [size =\"6337536\"]\n  20 -> 29 [size =\"6337536\"]\n  21 [size=\"83019776\", alpha=\"0.07\", expect_size=\"41509888\"] \n  22 [size=\"100859904\", alpha=\"0.14\", expect_size=\"50429952\"] \n  23 [size=\"88498176\", alpha=\"0.11\", expect_size=\"44249088\"] \n  24 [size=\"44357632\", alpha=\"0.16\", expect_size=\"22178816\"] \n  25 [size=\"93284352\", alpha=\"0.06\", expect_size=\"46642176\"] \n  26 [size=\"69797888\", alpha=\"0.14\", expect_size=\"34898944\"] \n  27 [size=\"70385664\", alpha=\"0.04\", expect_size=\"35192832\"] \n  28 [size=\"32747520\", alpha=\"0.06\", expect_size=\"16373760\"] \n  29 [size=\"39288832\", alpha=\"0.05\", expect_size=\"19644416\"] \n  30 [size=\"98109440\", alpha=\"0.08\", expect_size=\"49054720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64897024\", alpha=\"0.16\", expect_size=\"32448512\"] \n  1 -> 15 [size =\"32448512\"]\n  1 -> 18 [size =\"32448512\"]\n  1 -> 20 [size =\"32448512\"]\n  1 -> 21 [size =\"32448512\"]\n  2 [size=\"94779392\", alpha=\"0.02\", expect_size=\"47389696\"] \n  2 -> 12 [size =\"47389696\"]\n  2 -> 15 [size =\"47389696\"]\n  2 -> 16 [size =\"47389696\"]\n  2 -> 18 [size =\"47389696\"]\n  2 -> 20 [size =\"47389696\"]\n  3 [size=\"88061952\", alpha=\"0.14\", expect_size=\"44030976\"] \n  3 -> 13 [size =\"44030976\"]\n  3 -> 14 [size =\"44030976\"]\n  3 -> 15 [size =\"44030976\"]\n  3 -> 18 [size =\"44030976\"]\n  3 -> 20 [size =\"44030976\"]\n  3 -> 21 [size =\"44030976\"]\n  3 -> 23 [size =\"44030976\"]\n  4 [size=\"83730432\", alpha=\"0.15\", expect_size=\"41865216\"] \n  4 -> 12 [size =\"41865216\"]\n  4 -> 14 [size =\"41865216\"]\n  4 -> 15 [size =\"41865216\"]\n  4 -> 17 [size =\"41865216\"]\n  4 -> 18 [size =\"41865216\"]\n  4 -> 22 [size =\"41865216\"]\n  5 [size=\"23392256\", alpha=\"0.18\", expect_size=\"11696128\"] \n  5 -> 14 [size =\"11696128\"]\n  5 -> 15 [size =\"11696128\"]\n  5 -> 18 [size =\"11696128\"]\n  5 -> 21 [size =\"11696128\"]\n  5 -> 24 [size =\"11696128\"]\n  6 [size=\"69322752\", alpha=\"0.15\", expect_size=\"34661376\"] \n  6 -> 15 [size =\"34661376\"]\n  6 -> 18 [size =\"34661376\"]\n  6 -> 19 [size =\"34661376\"]\n  6 -> 20 [size =\"34661376\"]\n  7 [size=\"74835968\", alpha=\"0.17\", expect_size=\"37417984\"] \n  7 -> 12 [size =\"37417984\"]\n  7 -> 13 [size =\"37417984\"]\n  7 -> 16 [size =\"37417984\"]\n  7 -> 17 [size =\"37417984\"]\n  7 -> 18 [size =\"37417984\"]\n  7 -> 24 [size =\"37417984\"]\n  8 [size=\"95578112\", alpha=\"0.04\", expect_size=\"47789056\"] \n  8 -> 12 [size =\"47789056\"]\n  8 -> 14 [size =\"47789056\"]\n  8 -> 15 [size =\"47789056\"]\n  8 -> 17 [size =\"47789056\"]\n  8 -> 18 [size =\"47789056\"]\n  8 -> 19 [size =\"47789056\"]\n  8 -> 24 [size =\"47789056\"]\n  9 [size=\"96784384\", alpha=\"0.16\", expect_size=\"48392192\"] \n  9 -> 19 [size =\"48392192\"]\n  9 -> 23 [size =\"48392192\"]\n  9 -> 24 [size =\"48392192\"]\n  10 [size=\"95270912\", alpha=\"0.13\", expect_size=\"47635456\"] \n  10 -> 13 [size =\"47635456\"]\n  10 -> 15 [size =\"47635456\"]\n  10 -> 19 [size =\"47635456\"]\n  10 -> 20 [size =\"47635456\"]\n  10 -> 24 [size =\"47635456\"]\n  11 [size=\"85573632\", alpha=\"0.05\", expect_size=\"42786816\"] \n  11 -> 16 [size =\"42786816\"]\n  11 -> 20 [size =\"42786816\"]\n  11 -> 21 [size =\"42786816\"]\n  12 [size=\"67354624\", alpha=\"0.16\", expect_size=\"33677312\"] \n  12 -> 28 [size =\"33677312\"]\n  12 -> 29 [size =\"33677312\"]\n  13 [size=\"76507136\", alpha=\"0.16\", expect_size=\"38253568\"] \n  13 -> 25 [size =\"38253568\"]\n  13 -> 28 [size =\"38253568\"]\n  14 [size=\"45965312\", alpha=\"0.06\", expect_size=\"22982656\"] \n  14 -> 28 [size =\"22982656\"]\n  15 [size=\"20377600\", alpha=\"0.20\", expect_size=\"10188800\"] \n  15 -> 27 [size =\"10188800\"]\n  15 -> 30 [size =\"10188800\"]\n  16 [size=\"12890112\", alpha=\"0.16\", expect_size=\"6445056\"] \n  16 -> 27 [size =\"6445056\"]\n  17 [size=\"81381376\", alpha=\"0.11\", expect_size=\"40690688\"] \n  18 [size=\"66052096\", alpha=\"0.14\", expect_size=\"33026048\"] \n  18 -> 27 [size =\"33026048\"]\n  18 -> 28 [size =\"33026048\"]\n  19 [size=\"84641792\", alpha=\"0.12\", expect_size=\"42320896\"] \n  19 -> 26 [size =\"42320896\"]\n  19 -> 27 [size =\"42320896\"]\n  19 -> 30 [size =\"42320896\"]\n  20 [size=\"67846144\", alpha=\"0.05\", expect_size=\"33923072\"] \n  20 -> 29 [size =\"33923072\"]\n  21 [size=\"36448256\", alpha=\"0.08\", expect_size=\"18224128\"] \n  21 -> 26 [size =\"18224128\"]\n  21 -> 28 [size =\"18224128\"]\n  21 -> 30 [size =\"18224128\"]\n  22 [size=\"60325888\", alpha=\"0.10\", expect_size=\"30162944\"] \n  23 [size=\"43474944\", alpha=\"0.08\", expect_size=\"21737472\"] \n  24 [size=\"23861248\", alpha=\"0.02\", expect_size=\"11930624\"] \n  24 -> 28 [size =\"11930624\"]\n  24 -> 30 [size =\"11930624\"]\n  25 [size=\"49883136\", alpha=\"0.18\", expect_size=\"24941568\"] \n  26 [size=\"49682432\", alpha=\"0.07\", expect_size=\"24841216\"] \n  27 [size=\"30547968\", alpha=\"0.09\", expect_size=\"15273984\"] \n  28 [size=\"81180672\", alpha=\"0.10\", expect_size=\"40590336\"] \n  29 [size=\"52531200\", alpha=\"0.09\", expect_size=\"26265600\"] \n  30 [size=\"16664576\", alpha=\"0.05\", expect_size=\"8332288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91018240\", alpha=\"0.20\", expect_size=\"36407296\"] \n  1 -> 8 [size =\"36407296\"]\n  2 [size=\"71178240\", alpha=\"0.12\", expect_size=\"28471296\"] \n  2 -> 6 [size =\"28471296\"]\n  3 [size=\"23800320\", alpha=\"0.11\", expect_size=\"9520128\"] \n  3 -> 6 [size =\"9520128\"]\n  3 -> 7 [size =\"9520128\"]\n  3 -> 8 [size =\"9520128\"]\n  4 [size=\"82705920\", alpha=\"0.00\", expect_size=\"33082368\"] \n  5 [size=\"28339200\", alpha=\"0.06\", expect_size=\"11335680\"] \n  5 -> 7 [size =\"11335680\"]\n  5 -> 9 [size =\"11335680\"]\n  6 [size=\"90114560\", alpha=\"0.07\", expect_size=\"36045824\"] \n  6 -> 10 [size =\"36045824\"]\n  7 [size=\"28264960\", alpha=\"0.06\", expect_size=\"11305984\"] \n  7 -> 11 [size =\"11305984\"]\n  8 [size=\"27407360\", alpha=\"0.03\", expect_size=\"10962944\"] \n  8 -> 13 [size =\"10962944\"]\n  9 [size=\"16622080\", alpha=\"0.03\", expect_size=\"6648832\"] \n  9 -> 12 [size =\"6648832\"]\n  10 [size=\"42629120\", alpha=\"0.18\", expect_size=\"17051648\"] \n  11 [size=\"56739840\", alpha=\"0.12\", expect_size=\"22695936\"] \n  11 -> 15 [size =\"22695936\"]\n  11 -> 17 [size =\"22695936\"]\n  12 [size=\"56330240\", alpha=\"0.02\", expect_size=\"22532096\"] \n  12 -> 14 [size =\"22532096\"]\n  12 -> 16 [size =\"22532096\"]\n  13 [size=\"125309440\", alpha=\"0.06\", expect_size=\"50123776\"] \n  13 -> 14 [size =\"50123776\"]\n  14 [size=\"73756160\", alpha=\"0.16\", expect_size=\"29502464\"] \n  14 -> 18 [size =\"29502464\"]\n  15 [size=\"75878400\", alpha=\"0.13\", expect_size=\"30351360\"] \n  15 -> 19 [size =\"30351360\"]\n  15 -> 21 [size =\"30351360\"]\n  16 [size=\"111224320\", alpha=\"0.05\", expect_size=\"44489728\"] \n  16 -> 20 [size =\"44489728\"]\n  17 [size=\"37084160\", alpha=\"0.17\", expect_size=\"14833664\"] \n  17 -> 18 [size =\"14833664\"]\n  18 [size=\"74531840\", alpha=\"0.06\", expect_size=\"29812736\"] \n  18 -> 25 [size =\"29812736\"]\n  19 [size=\"91512320\", alpha=\"0.19\", expect_size=\"36604928\"] \n  19 -> 22 [size =\"36604928\"]\n  19 -> 23 [size =\"36604928\"]\n  19 -> 26 [size =\"36604928\"]\n  20 [size=\"108966400\", alpha=\"0.00\", expect_size=\"43586560\"] \n  20 -> 22 [size =\"43586560\"]\n  20 -> 24 [size =\"43586560\"]\n  21 [size=\"96949760\", alpha=\"0.15\", expect_size=\"38779904\"] \n  21 -> 23 [size =\"38779904\"]\n  22 [size=\"50685440\", alpha=\"0.20\", expect_size=\"20274176\"] \n  23 [size=\"63636480\", alpha=\"0.06\", expect_size=\"25454592\"] \n  23 -> 27 [size =\"25454592\"]\n  23 -> 28 [size =\"25454592\"]\n  23 -> 29 [size =\"25454592\"]\n  24 [size=\"101839360\", alpha=\"0.05\", expect_size=\"40735744\"] \n  24 -> 27 [size =\"40735744\"]\n  25 [size=\"75328000\", alpha=\"0.05\", expect_size=\"30131200\"] \n  26 [size=\"33827840\", alpha=\"0.19\", expect_size=\"13531136\"] \n  26 -> 30 [size =\"13531136\"]\n  27 [size=\"61061120\", alpha=\"0.16\", expect_size=\"24424448\"] \n  28 [size=\"43458560\", alpha=\"0.15\", expect_size=\"17383424\"] \n  29 [size=\"79395840\", alpha=\"0.14\", expect_size=\"31758336\"] \n  30 [size=\"71252480\", alpha=\"0.19\", expect_size=\"28500992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126593707\", alpha=\"0.15\", expect_size=\"37978112\"] \n  1 -> 3 [size =\"37978112\"]\n  2 [size=\"21166080\", alpha=\"0.17\", expect_size=\"6349824\"] \n  2 -> 3 [size =\"6349824\"]\n  3 [size=\"70529707\", alpha=\"0.18\", expect_size=\"21158912\"] \n  3 -> 4 [size =\"21158912\"]\n  3 -> 5 [size =\"21158912\"]\n  4 [size=\"145722027\", alpha=\"0.03\", expect_size=\"43716608\"] \n  4 -> 6 [size =\"43716608\"]\n  4 -> 7 [size =\"43716608\"]\n  5 [size=\"95607467\", alpha=\"0.04\", expect_size=\"28682240\"] \n  5 -> 6 [size =\"28682240\"]\n  6 [size=\"44274347\", alpha=\"0.06\", expect_size=\"13282304\"] \n  6 -> 8 [size =\"13282304\"]\n  7 [size=\"103710720\", alpha=\"0.09\", expect_size=\"31113216\"] \n  7 -> 8 [size =\"31113216\"]\n  8 [size=\"161761280\", alpha=\"0.08\", expect_size=\"48528384\"] \n  8 -> 9 [size =\"48528384\"]\n  8 -> 10 [size =\"48528384\"]\n  9 [size=\"147998720\", alpha=\"0.14\", expect_size=\"44399616\"] \n  9 -> 11 [size =\"44399616\"]\n  9 -> 12 [size =\"44399616\"]\n  10 [size=\"117377707\", alpha=\"0.15\", expect_size=\"35213312\"] \n  10 -> 11 [size =\"35213312\"]\n  10 -> 12 [size =\"35213312\"]\n  11 [size=\"94982827\", alpha=\"0.01\", expect_size=\"28494848\"] \n  11 -> 13 [size =\"28494848\"]\n  12 [size=\"56029867\", alpha=\"0.10\", expect_size=\"16808960\"] \n  12 -> 13 [size =\"16808960\"]\n  13 [size=\"30255787\", alpha=\"0.08\", expect_size=\"9076736\"] \n  13 -> 14 [size =\"9076736\"]\n  14 [size=\"169065813\", alpha=\"0.03\", expect_size=\"50719744\"] \n  14 -> 15 [size =\"50719744\"]\n  15 [size=\"37727573\", alpha=\"0.10\", expect_size=\"11318272\"] \n  15 -> 16 [size =\"11318272\"]\n  16 [size=\"70171307\", alpha=\"0.15\", expect_size=\"21051392\"] \n  16 -> 17 [size =\"21051392\"]\n  17 [size=\"115268267\", alpha=\"0.04\", expect_size=\"34580480\"] \n  17 -> 18 [size =\"34580480\"]\n  18 [size=\"30525440\", alpha=\"0.03\", expect_size=\"9157632\"] \n  18 -> 19 [size =\"9157632\"]\n  18 -> 20 [size =\"9157632\"]\n  19 [size=\"93713067\", alpha=\"0.13\", expect_size=\"28113920\"] \n  19 -> 22 [size =\"28113920\"]\n  20 [size=\"49250987\", alpha=\"0.07\", expect_size=\"14775296\"] \n  20 -> 21 [size =\"14775296\"]\n  21 [size=\"168543573\", alpha=\"0.15\", expect_size=\"50563072\"] \n  21 -> 23 [size =\"50563072\"]\n  22 [size=\"172984320\", alpha=\"0.03\", expect_size=\"51895296\"] \n  22 -> 23 [size =\"51895296\"]\n  22 -> 24 [size =\"51895296\"]\n  23 [size=\"91757227\", alpha=\"0.18\", expect_size=\"27527168\"] \n  24 [size=\"156088320\", alpha=\"0.10\", expect_size=\"46826496\"] \n  24 -> 25 [size =\"46826496\"]\n  25 [size=\"19746133\", alpha=\"0.11\", expect_size=\"5923840\"] \n  25 -> 26 [size =\"5923840\"]\n  25 -> 27 [size =\"5923840\"]\n  26 [size=\"95962453\", alpha=\"0.16\", expect_size=\"28788736\"] \n  26 -> 28 [size =\"28788736\"]\n  27 [size=\"54490453\", alpha=\"0.12\", expect_size=\"16347136\"] \n  27 -> 28 [size =\"16347136\"]\n  28 [size=\"88893440\", alpha=\"0.06\", expect_size=\"26668032\"] \n  28 -> 29 [size =\"26668032\"]\n  29 [size=\"109694293\", alpha=\"0.17\", expect_size=\"32908288\"] \n  29 -> 30 [size =\"32908288\"]\n  30 [size=\"52507307\", alpha=\"0.20\", expect_size=\"15752192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34154496\", alpha=\"0.03\", expect_size=\"17077248\"] \n  1 -> 7 [size =\"17077248\"]\n  1 -> 9 [size =\"17077248\"]\n  2 [size=\"58738688\", alpha=\"0.18\", expect_size=\"29369344\"] \n  2 -> 9 [size =\"29369344\"]\n  3 [size=\"75978752\", alpha=\"0.10\", expect_size=\"37989376\"] \n  3 -> 9 [size =\"37989376\"]\n  4 [size=\"100384768\", alpha=\"0.08\", expect_size=\"50192384\"] \n  4 -> 6 [size =\"50192384\"]\n  4 -> 7 [size =\"50192384\"]\n  5 [size=\"100296704\", alpha=\"0.18\", expect_size=\"50148352\"] \n  5 -> 7 [size =\"50148352\"]\n  5 -> 8 [size =\"50148352\"]\n  5 -> 9 [size =\"50148352\"]\n  6 [size=\"15826944\", alpha=\"0.07\", expect_size=\"7913472\"] \n  6 -> 10 [size =\"7913472\"]\n  6 -> 12 [size =\"7913472\"]\n  7 [size=\"65634304\", alpha=\"0.14\", expect_size=\"32817152\"] \n  7 -> 11 [size =\"32817152\"]\n  7 -> 13 [size =\"32817152\"]\n  8 [size=\"39022592\", alpha=\"0.17\", expect_size=\"19511296\"] \n  8 -> 10 [size =\"19511296\"]\n  8 -> 11 [size =\"19511296\"]\n  8 -> 12 [size =\"19511296\"]\n  9 [size=\"97898496\", alpha=\"0.20\", expect_size=\"48949248\"] \n  9 -> 11 [size =\"48949248\"]\n  9 -> 11 [size =\"48949248\"]\n  9 -> 12 [size =\"48949248\"]\n  9 -> 13 [size =\"48949248\"]\n  10 [size=\"84584448\", alpha=\"0.03\", expect_size=\"42292224\"] \n  10 -> 14 [size =\"42292224\"]\n  10 -> 15 [size =\"42292224\"]\n  11 [size=\"69441536\", alpha=\"0.10\", expect_size=\"34720768\"] \n  11 -> 14 [size =\"34720768\"]\n  11 -> 15 [size =\"34720768\"]\n  11 -> 16 [size =\"34720768\"]\n  11 -> 17 [size =\"34720768\"]\n  12 [size=\"84858880\", alpha=\"0.16\", expect_size=\"42429440\"] \n  12 -> 15 [size =\"42429440\"]\n  12 -> 15 [size =\"42429440\"]\n  12 -> 17 [size =\"42429440\"]\n  13 [size=\"73957376\", alpha=\"0.10\", expect_size=\"36978688\"] \n  13 -> 14 [size =\"36978688\"]\n  13 -> 17 [size =\"36978688\"]\n  13 -> 18 [size =\"36978688\"]\n  14 [size=\"24786944\", alpha=\"0.10\", expect_size=\"12393472\"] \n  14 -> 19 [size =\"12393472\"]\n  14 -> 20 [size =\"12393472\"]\n  14 -> 23 [size =\"12393472\"]\n  15 [size=\"62615552\", alpha=\"0.00\", expect_size=\"31307776\"] \n  15 -> 21 [size =\"31307776\"]\n  15 -> 22 [size =\"31307776\"]\n  16 [size=\"53577728\", alpha=\"0.07\", expect_size=\"26788864\"] \n  16 -> 20 [size =\"26788864\"]\n  16 -> 21 [size =\"26788864\"]\n  16 -> 22 [size =\"26788864\"]\n  17 [size=\"84389888\", alpha=\"0.08\", expect_size=\"42194944\"] \n  17 -> 20 [size =\"42194944\"]\n  17 -> 21 [size =\"42194944\"]\n  17 -> 22 [size =\"42194944\"]\n  18 [size=\"56461312\", alpha=\"0.09\", expect_size=\"28230656\"] \n  18 -> 20 [size =\"28230656\"]\n  18 -> 22 [size =\"28230656\"]\n  19 [size=\"44324864\", alpha=\"0.01\", expect_size=\"22162432\"] \n  19 -> 24 [size =\"22162432\"]\n  19 -> 25 [size =\"22162432\"]\n  19 -> 26 [size =\"22162432\"]\n  19 -> 27 [size =\"22162432\"]\n  20 [size=\"42496000\", alpha=\"0.09\", expect_size=\"21248000\"] \n  20 -> 24 [size =\"21248000\"]\n  20 -> 25 [size =\"21248000\"]\n  20 -> 26 [size =\"21248000\"]\n  21 [size=\"58779648\", alpha=\"0.02\", expect_size=\"29389824\"] \n  21 -> 24 [size =\"29389824\"]\n  21 -> 25 [size =\"29389824\"]\n  21 -> 26 [size =\"29389824\"]\n  22 [size=\"10975232\", alpha=\"0.06\", expect_size=\"5487616\"] \n  22 -> 24 [size =\"5487616\"]\n  22 -> 26 [size =\"5487616\"]\n  23 [size=\"88344576\", alpha=\"0.03\", expect_size=\"44172288\"] \n  23 -> 27 [size =\"44172288\"]\n  24 [size=\"42854400\", alpha=\"0.19\", expect_size=\"21427200\"] \n  24 -> 28 [size =\"21427200\"]\n  24 -> 29 [size =\"21427200\"]\n  24 -> 30 [size =\"21427200\"]\n  25 [size=\"89966592\", alpha=\"0.15\", expect_size=\"44983296\"] \n  25 -> 29 [size =\"44983296\"]\n  26 [size=\"91723776\", alpha=\"0.11\", expect_size=\"45861888\"] \n  26 -> 29 [size =\"45861888\"]\n  26 -> 30 [size =\"45861888\"]\n  27 [size=\"29980672\", alpha=\"0.19\", expect_size=\"14990336\"] \n  27 -> 28 [size =\"14990336\"]\n  27 -> 29 [size =\"14990336\"]\n  28 [size=\"66588672\", alpha=\"0.14\", expect_size=\"33294336\"] \n  29 [size=\"16826368\", alpha=\"0.06\", expect_size=\"8413184\"] \n  30 [size=\"22165504\", alpha=\"0.15\", expect_size=\"11082752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30699520\", alpha=\"0.14\", expect_size=\"15349760\"] \n  1 -> 19 [size =\"15349760\"]\n  1 -> 20 [size =\"15349760\"]\n  1 -> 21 [size =\"15349760\"]\n  1 -> 25 [size =\"15349760\"]\n  1 -> 27 [size =\"15349760\"]\n  1 -> 29 [size =\"15349760\"]\n  1 -> 30 [size =\"15349760\"]\n  2 [size=\"70232064\", alpha=\"0.17\", expect_size=\"35116032\"] \n  2 -> 23 [size =\"35116032\"]\n  2 -> 24 [size =\"35116032\"]\n  2 -> 25 [size =\"35116032\"]\n  2 -> 28 [size =\"35116032\"]\n  2 -> 29 [size =\"35116032\"]\n  2 -> 30 [size =\"35116032\"]\n  2 -> 30 [size =\"35116032\"]\n  3 [size=\"98371584\", alpha=\"0.11\", expect_size=\"49185792\"] \n  3 -> 19 [size =\"49185792\"]\n  3 -> 22 [size =\"49185792\"]\n  3 -> 23 [size =\"49185792\"]\n  3 -> 24 [size =\"49185792\"]\n  3 -> 28 [size =\"49185792\"]\n  3 -> 30 [size =\"49185792\"]\n  4 [size=\"71757824\", alpha=\"0.06\", expect_size=\"35878912\"] \n  4 -> 20 [size =\"35878912\"]\n  4 -> 27 [size =\"35878912\"]\n  4 -> 28 [size =\"35878912\"]\n  4 -> 29 [size =\"35878912\"]\n  4 -> 30 [size =\"35878912\"]\n  5 [size=\"27486208\", alpha=\"0.06\", expect_size=\"13743104\"] \n  5 -> 21 [size =\"13743104\"]\n  5 -> 23 [size =\"13743104\"]\n  5 -> 24 [size =\"13743104\"]\n  5 -> 29 [size =\"13743104\"]\n  6 [size=\"58433536\", alpha=\"0.05\", expect_size=\"29216768\"] \n  6 -> 20 [size =\"29216768\"]\n  6 -> 21 [size =\"29216768\"]\n  6 -> 29 [size =\"29216768\"]\n  7 [size=\"72943616\", alpha=\"0.09\", expect_size=\"36471808\"] \n  7 -> 19 [size =\"36471808\"]\n  7 -> 21 [size =\"36471808\"]\n  7 -> 24 [size =\"36471808\"]\n  7 -> 29 [size =\"36471808\"]\n  8 [size=\"16740352\", alpha=\"0.01\", expect_size=\"8370176\"] \n  8 -> 19 [size =\"8370176\"]\n  8 -> 21 [size =\"8370176\"]\n  8 -> 22 [size =\"8370176\"]\n  8 -> 24 [size =\"8370176\"]\n  8 -> 28 [size =\"8370176\"]\n  8 -> 29 [size =\"8370176\"]\n  9 [size=\"100857856\", alpha=\"0.20\", expect_size=\"50428928\"] \n  9 -> 20 [size =\"50428928\"]\n  9 -> 21 [size =\"50428928\"]\n  9 -> 22 [size =\"50428928\"]\n  9 -> 25 [size =\"50428928\"]\n  9 -> 28 [size =\"50428928\"]\n  10 [size=\"30027776\", alpha=\"0.06\", expect_size=\"15013888\"] \n  10 -> 19 [size =\"15013888\"]\n  10 -> 21 [size =\"15013888\"]\n  10 -> 26 [size =\"15013888\"]\n  11 [size=\"13387776\", alpha=\"0.06\", expect_size=\"6693888\"] \n  11 -> 23 [size =\"6693888\"]\n  11 -> 25 [size =\"6693888\"]\n  11 -> 29 [size =\"6693888\"]\n  11 -> 30 [size =\"6693888\"]\n  12 [size=\"78481408\", alpha=\"0.08\", expect_size=\"39240704\"] \n  12 -> 20 [size =\"39240704\"]\n  12 -> 21 [size =\"39240704\"]\n  12 -> 22 [size =\"39240704\"]\n  12 -> 23 [size =\"39240704\"]\n  12 -> 24 [size =\"39240704\"]\n  12 -> 25 [size =\"39240704\"]\n  12 -> 27 [size =\"39240704\"]\n  12 -> 30 [size =\"39240704\"]\n  13 [size=\"63238144\", alpha=\"0.04\", expect_size=\"31619072\"] \n  13 -> 21 [size =\"31619072\"]\n  13 -> 27 [size =\"31619072\"]\n  13 -> 28 [size =\"31619072\"]\n  13 -> 29 [size =\"31619072\"]\n  13 -> 30 [size =\"31619072\"]\n  14 [size=\"18636800\", alpha=\"0.08\", expect_size=\"9318400\"] \n  14 -> 20 [size =\"9318400\"]\n  14 -> 22 [size =\"9318400\"]\n  14 -> 25 [size =\"9318400\"]\n  14 -> 27 [size =\"9318400\"]\n  14 -> 30 [size =\"9318400\"]\n  15 [size=\"46395392\", alpha=\"0.06\", expect_size=\"23197696\"] \n  15 -> 19 [size =\"23197696\"]\n  15 -> 20 [size =\"23197696\"]\n  15 -> 22 [size =\"23197696\"]\n  15 -> 24 [size =\"23197696\"]\n  15 -> 25 [size =\"23197696\"]\n  15 -> 30 [size =\"23197696\"]\n  16 [size=\"75821056\", alpha=\"0.02\", expect_size=\"37910528\"] \n  16 -> 19 [size =\"37910528\"]\n  16 -> 25 [size =\"37910528\"]\n  16 -> 30 [size =\"37910528\"]\n  17 [size=\"101365760\", alpha=\"0.02\", expect_size=\"50682880\"] \n  17 -> 19 [size =\"50682880\"]\n  17 -> 20 [size =\"50682880\"]\n  17 -> 22 [size =\"50682880\"]\n  17 -> 26 [size =\"50682880\"]\n  18 [size=\"50100224\", alpha=\"0.07\", expect_size=\"25050112\"] \n  18 -> 21 [size =\"25050112\"]\n  18 -> 22 [size =\"25050112\"]\n  18 -> 22 [size =\"25050112\"]\n  18 -> 30 [size =\"25050112\"]\n  19 [size=\"53565440\", alpha=\"0.09\", expect_size=\"26782720\"] \n  20 [size=\"51701760\", alpha=\"0.11\", expect_size=\"25850880\"] \n  21 [size=\"81881088\", alpha=\"0.18\", expect_size=\"40940544\"] \n  22 [size=\"17496064\", alpha=\"0.17\", expect_size=\"8748032\"] \n  23 [size=\"53174272\", alpha=\"0.14\", expect_size=\"26587136\"] \n  24 [size=\"72935424\", alpha=\"0.05\", expect_size=\"36467712\"] \n  25 [size=\"15849472\", alpha=\"0.19\", expect_size=\"7924736\"] \n  26 [size=\"43388928\", alpha=\"0.03\", expect_size=\"21694464\"] \n  27 [size=\"50710528\", alpha=\"0.01\", expect_size=\"25355264\"] \n  28 [size=\"59082752\", alpha=\"0.20\", expect_size=\"29541376\"] \n  29 [size=\"94269440\", alpha=\"0.18\", expect_size=\"47134720\"] \n  30 [size=\"43894784\", alpha=\"0.00\", expect_size=\"21947392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51406848\", alpha=\"0.10\", expect_size=\"25703424\"] \n  1 -> 7 [size =\"25703424\"]\n  1 -> 8 [size =\"25703424\"]\n  1 -> 10 [size =\"25703424\"]\n  2 [size=\"15429632\", alpha=\"0.10\", expect_size=\"7714816\"] \n  2 -> 6 [size =\"7714816\"]\n  2 -> 8 [size =\"7714816\"]\n  2 -> 10 [size =\"7714816\"]\n  3 [size=\"48695296\", alpha=\"0.06\", expect_size=\"24347648\"] \n  3 -> 9 [size =\"24347648\"]\n  4 [size=\"74997760\", alpha=\"0.14\", expect_size=\"37498880\"] \n  4 -> 7 [size =\"37498880\"]\n  4 -> 8 [size =\"37498880\"]\n  5 [size=\"67530752\", alpha=\"0.13\", expect_size=\"33765376\"] \n  5 -> 7 [size =\"33765376\"]\n  5 -> 9 [size =\"33765376\"]\n  6 [size=\"92999680\", alpha=\"0.05\", expect_size=\"46499840\"] \n  6 -> 12 [size =\"46499840\"]\n  6 -> 13 [size =\"46499840\"]\n  6 -> 14 [size =\"46499840\"]\n  7 [size=\"58554368\", alpha=\"0.20\", expect_size=\"29277184\"] \n  7 -> 11 [size =\"29277184\"]\n  7 -> 13 [size =\"29277184\"]\n  8 [size=\"74823680\", alpha=\"0.17\", expect_size=\"37411840\"] \n  8 -> 11 [size =\"37411840\"]\n  8 -> 13 [size =\"37411840\"]\n  8 -> 15 [size =\"37411840\"]\n  9 [size=\"33206272\", alpha=\"0.13\", expect_size=\"16603136\"] \n  9 -> 11 [size =\"16603136\"]\n  9 -> 12 [size =\"16603136\"]\n  10 [size=\"93728768\", alpha=\"0.05\", expect_size=\"46864384\"] \n  11 [size=\"73531392\", alpha=\"0.06\", expect_size=\"36765696\"] \n  11 -> 16 [size =\"36765696\"]\n  11 -> 18 [size =\"36765696\"]\n  11 -> 19 [size =\"36765696\"]\n  11 -> 20 [size =\"36765696\"]\n  12 [size=\"26808320\", alpha=\"0.15\", expect_size=\"13404160\"] \n  12 -> 16 [size =\"13404160\"]\n  12 -> 18 [size =\"13404160\"]\n  12 -> 20 [size =\"13404160\"]\n  13 [size=\"73347072\", alpha=\"0.09\", expect_size=\"36673536\"] \n  13 -> 18 [size =\"36673536\"]\n  13 -> 19 [size =\"36673536\"]\n  13 -> 20 [size =\"36673536\"]\n  14 [size=\"103706624\", alpha=\"0.20\", expect_size=\"51853312\"] \n  14 -> 19 [size =\"51853312\"]\n  15 [size=\"73404416\", alpha=\"0.16\", expect_size=\"36702208\"] \n  15 -> 16 [size =\"36702208\"]\n  15 -> 17 [size =\"36702208\"]\n  16 [size=\"38254592\", alpha=\"0.02\", expect_size=\"19127296\"] \n  17 [size=\"62099456\", alpha=\"0.10\", expect_size=\"31049728\"] \n  17 -> 23 [size =\"31049728\"]\n  18 [size=\"61671424\", alpha=\"0.07\", expect_size=\"30835712\"] \n  18 -> 21 [size =\"30835712\"]\n  19 [size=\"47214592\", alpha=\"0.17\", expect_size=\"23607296\"] \n  19 -> 21 [size =\"23607296\"]\n  19 -> 22 [size =\"23607296\"]\n  19 -> 23 [size =\"23607296\"]\n  20 [size=\"15955968\", alpha=\"0.09\", expect_size=\"7977984\"] \n  20 -> 22 [size =\"7977984\"]\n  20 -> 23 [size =\"7977984\"]\n  21 [size=\"39223296\", alpha=\"0.09\", expect_size=\"19611648\"] \n  21 -> 24 [size =\"19611648\"]\n  21 -> 26 [size =\"19611648\"]\n  22 [size=\"66834432\", alpha=\"0.10\", expect_size=\"33417216\"] \n  22 -> 24 [size =\"33417216\"]\n  22 -> 26 [size =\"33417216\"]\n  22 -> 28 [size =\"33417216\"]\n  23 [size=\"45154304\", alpha=\"0.19\", expect_size=\"22577152\"] \n  23 -> 25 [size =\"22577152\"]\n  23 -> 27 [size =\"22577152\"]\n  24 [size=\"86618112\", alpha=\"0.02\", expect_size=\"43309056\"] \n  25 [size=\"85020672\", alpha=\"0.17\", expect_size=\"42510336\"] \n  26 [size=\"65994752\", alpha=\"0.09\", expect_size=\"32997376\"] \n  26 -> 30 [size =\"32997376\"]\n  27 [size=\"77101056\", alpha=\"0.11\", expect_size=\"38550528\"] \n  28 [size=\"30674944\", alpha=\"0.08\", expect_size=\"15337472\"] \n  28 -> 29 [size =\"15337472\"]\n  29 [size=\"64557056\", alpha=\"0.09\", expect_size=\"32278528\"] \n  30 [size=\"51660800\", alpha=\"0.07\", expect_size=\"25830400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31214933\", alpha=\"0.19\", expect_size=\"9364480\"] \n  1 -> 2 [size =\"9364480\"]\n  2 [size=\"20039680\", alpha=\"0.08\", expect_size=\"6011904\"] \n  2 -> 3 [size =\"6011904\"]\n  3 [size=\"23425707\", alpha=\"0.09\", expect_size=\"7027712\"] \n  3 -> 4 [size =\"7027712\"]\n  4 [size=\"48534187\", alpha=\"0.10\", expect_size=\"14560256\"] \n  4 -> 5 [size =\"14560256\"]\n  5 [size=\"96474453\", alpha=\"0.00\", expect_size=\"28942336\"] \n  5 -> 6 [size =\"28942336\"]\n  6 [size=\"42427733\", alpha=\"0.11\", expect_size=\"12728320\"] \n  6 -> 7 [size =\"12728320\"]\n  7 [size=\"54586027\", alpha=\"0.10\", expect_size=\"16375808\"] \n  7 -> 8 [size =\"16375808\"]\n  8 [size=\"127928320\", alpha=\"0.16\", expect_size=\"38378496\"] \n  8 -> 9 [size =\"38378496\"]\n  9 [size=\"60173653\", alpha=\"0.05\", expect_size=\"18052096\"] \n  9 -> 10 [size =\"18052096\"]\n  10 [size=\"31761067\", alpha=\"0.03\", expect_size=\"9528320\"] \n  10 -> 11 [size =\"9528320\"]\n  11 [size=\"30214827\", alpha=\"0.16\", expect_size=\"9064448\"] \n  11 -> 12 [size =\"9064448\"]\n  12 [size=\"25845760\", alpha=\"0.15\", expect_size=\"7753728\"] \n  12 -> 13 [size =\"7753728\"]\n  13 [size=\"89600000\", alpha=\"0.14\", expect_size=\"26880000\"] \n  13 -> 14 [size =\"26880000\"]\n  14 [size=\"157634560\", alpha=\"0.16\", expect_size=\"47290368\"] \n  14 -> 15 [size =\"47290368\"]\n  15 [size=\"80264533\", alpha=\"0.05\", expect_size=\"24079360\"] \n  15 -> 16 [size =\"24079360\"]\n  16 [size=\"83647147\", alpha=\"0.18\", expect_size=\"25094144\"] \n  16 -> 17 [size =\"25094144\"]\n  17 [size=\"173950293\", alpha=\"0.13\", expect_size=\"52185088\"] \n  17 -> 18 [size =\"52185088\"]\n  18 [size=\"96750933\", alpha=\"0.03\", expect_size=\"29025280\"] \n  18 -> 19 [size =\"29025280\"]\n  19 [size=\"64846507\", alpha=\"0.07\", expect_size=\"19453952\"] \n  19 -> 20 [size =\"19453952\"]\n  20 [size=\"108025173\", alpha=\"0.08\", expect_size=\"32407552\"] \n  20 -> 21 [size =\"32407552\"]\n  21 [size=\"131959467\", alpha=\"0.12\", expect_size=\"39587840\"] \n  21 -> 22 [size =\"39587840\"]\n  22 [size=\"101645653\", alpha=\"0.16\", expect_size=\"30493696\"] \n  22 -> 23 [size =\"30493696\"]\n  23 [size=\"61665280\", alpha=\"0.00\", expect_size=\"18499584\"] \n  23 -> 24 [size =\"18499584\"]\n  24 [size=\"170909013\", alpha=\"0.09\", expect_size=\"51272704\"] \n  24 -> 25 [size =\"51272704\"]\n  25 [size=\"142605653\", alpha=\"0.08\", expect_size=\"42781696\"] \n  25 -> 26 [size =\"42781696\"]\n  26 [size=\"23739733\", alpha=\"0.09\", expect_size=\"7121920\"] \n  26 -> 27 [size =\"7121920\"]\n  27 [size=\"167325013\", alpha=\"0.16\", expect_size=\"50197504\"] \n  27 -> 28 [size =\"50197504\"]\n  28 [size=\"112424960\", alpha=\"0.17\", expect_size=\"33727488\"] \n  28 -> 29 [size =\"33727488\"]\n  29 [size=\"132864000\", alpha=\"0.03\", expect_size=\"39859200\"] \n  29 -> 30 [size =\"39859200\"]\n  30 [size=\"26968747\", alpha=\"0.10\", expect_size=\"8090624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87609344\", alpha=\"0.18\", expect_size=\"43804672\"] \n  1 -> 2 [size =\"43804672\"]\n  2 [size=\"90793984\", alpha=\"0.04\", expect_size=\"45396992\"] \n  2 -> 3 [size =\"45396992\"]\n  3 [size=\"40067072\", alpha=\"0.07\", expect_size=\"20033536\"] \n  3 -> 4 [size =\"20033536\"]\n  4 [size=\"65511424\", alpha=\"0.08\", expect_size=\"32755712\"] \n  4 -> 5 [size =\"32755712\"]\n  5 [size=\"77512704\", alpha=\"0.11\", expect_size=\"38756352\"] \n  5 -> 6 [size =\"38756352\"]\n  6 [size=\"43317248\", alpha=\"0.19\", expect_size=\"21658624\"] \n  6 -> 7 [size =\"21658624\"]\n  7 [size=\"100241408\", alpha=\"0.04\", expect_size=\"50120704\"] \n  7 -> 8 [size =\"50120704\"]\n  8 [size=\"63195136\", alpha=\"0.08\", expect_size=\"31597568\"] \n  8 -> 9 [size =\"31597568\"]\n  9 [size=\"92143616\", alpha=\"0.16\", expect_size=\"46071808\"] \n  9 -> 10 [size =\"46071808\"]\n  10 [size=\"66918400\", alpha=\"0.17\", expect_size=\"33459200\"] \n  10 -> 11 [size =\"33459200\"]\n  11 [size=\"77281280\", alpha=\"0.18\", expect_size=\"38640640\"] \n  11 -> 12 [size =\"38640640\"]\n  12 [size=\"69326848\", alpha=\"0.07\", expect_size=\"34663424\"] \n  12 -> 13 [size =\"34663424\"]\n  13 [size=\"89536512\", alpha=\"0.01\", expect_size=\"44768256\"] \n  13 -> 14 [size =\"44768256\"]\n  14 [size=\"26124288\", alpha=\"0.12\", expect_size=\"13062144\"] \n  14 -> 15 [size =\"13062144\"]\n  15 [size=\"65622016\", alpha=\"0.05\", expect_size=\"32811008\"] \n  15 -> 16 [size =\"32811008\"]\n  16 [size=\"21338112\", alpha=\"0.11\", expect_size=\"10669056\"] \n  16 -> 17 [size =\"10669056\"]\n  17 [size=\"15775744\", alpha=\"0.07\", expect_size=\"7887872\"] \n  17 -> 18 [size =\"7887872\"]\n  18 [size=\"34021376\", alpha=\"0.09\", expect_size=\"17010688\"] \n  18 -> 19 [size =\"17010688\"]\n  19 [size=\"69840896\", alpha=\"0.14\", expect_size=\"34920448\"] \n  19 -> 20 [size =\"34920448\"]\n  20 [size=\"51632128\", alpha=\"0.16\", expect_size=\"25816064\"] \n  20 -> 21 [size =\"25816064\"]\n  21 [size=\"38430720\", alpha=\"0.13\", expect_size=\"19215360\"] \n  21 -> 22 [size =\"19215360\"]\n  22 [size=\"29571072\", alpha=\"0.08\", expect_size=\"14785536\"] \n  22 -> 23 [size =\"14785536\"]\n  23 [size=\"64897024\", alpha=\"0.09\", expect_size=\"32448512\"] \n  23 -> 24 [size =\"32448512\"]\n  24 [size=\"71821312\", alpha=\"0.01\", expect_size=\"35910656\"] \n  24 -> 25 [size =\"35910656\"]\n  25 [size=\"35672064\", alpha=\"0.08\", expect_size=\"17836032\"] \n  25 -> 26 [size =\"17836032\"]\n  26 [size=\"60233728\", alpha=\"0.02\", expect_size=\"30116864\"] \n  26 -> 27 [size =\"30116864\"]\n  27 [size=\"19236864\", alpha=\"0.15\", expect_size=\"9618432\"] \n  27 -> 28 [size =\"9618432\"]\n  28 [size=\"49920000\", alpha=\"0.19\", expect_size=\"24960000\"] \n  28 -> 29 [size =\"24960000\"]\n  29 [size=\"90726400\", alpha=\"0.00\", expect_size=\"45363200\"] \n  29 -> 30 [size =\"45363200\"]\n  30 [size=\"63819776\", alpha=\"0.13\", expect_size=\"31909888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65624064\", alpha=\"0.13\", expect_size=\"32812032\"] \n  1 -> 3 [size =\"32812032\"]\n  2 [size=\"46082048\", alpha=\"0.03\", expect_size=\"23041024\"] \n  2 -> 3 [size =\"23041024\"]\n  2 -> 4 [size =\"23041024\"]\n  3 [size=\"31973376\", alpha=\"0.11\", expect_size=\"15986688\"] \n  3 -> 5 [size =\"15986688\"]\n  4 [size=\"98770944\", alpha=\"0.14\", expect_size=\"49385472\"] \n  4 -> 5 [size =\"49385472\"]\n  5 [size=\"104464384\", alpha=\"0.12\", expect_size=\"52232192\"] \n  5 -> 6 [size =\"52232192\"]\n  6 [size=\"52590592\", alpha=\"0.19\", expect_size=\"26295296\"] \n  6 -> 7 [size =\"26295296\"]\n  7 [size=\"100814848\", alpha=\"0.08\", expect_size=\"50407424\"] \n  7 -> 8 [size =\"50407424\"]\n  7 -> 9 [size =\"50407424\"]\n  8 [size=\"91279360\", alpha=\"0.10\", expect_size=\"45639680\"] \n  8 -> 10 [size =\"45639680\"]\n  9 [size=\"51388416\", alpha=\"0.13\", expect_size=\"25694208\"] \n  10 [size=\"83111936\", alpha=\"0.08\", expect_size=\"41555968\"] \n  10 -> 11 [size =\"41555968\"]\n  10 -> 12 [size =\"41555968\"]\n  11 [size=\"78477312\", alpha=\"0.09\", expect_size=\"39238656\"] \n  12 [size=\"43393024\", alpha=\"0.02\", expect_size=\"21696512\"] \n  12 -> 13 [size =\"21696512\"]\n  13 [size=\"59090944\", alpha=\"0.06\", expect_size=\"29545472\"] \n  13 -> 14 [size =\"29545472\"]\n  13 -> 15 [size =\"29545472\"]\n  14 [size=\"15732736\", alpha=\"0.03\", expect_size=\"7866368\"] \n  15 [size=\"79702016\", alpha=\"0.04\", expect_size=\"39851008\"] \n  15 -> 16 [size =\"39851008\"]\n  16 [size=\"40044544\", alpha=\"0.18\", expect_size=\"20022272\"] \n  16 -> 17 [size =\"20022272\"]\n  17 [size=\"36055040\", alpha=\"0.15\", expect_size=\"18027520\"] \n  17 -> 18 [size =\"18027520\"]\n  17 -> 19 [size =\"18027520\"]\n  18 [size=\"74317824\", alpha=\"0.15\", expect_size=\"37158912\"] \n  19 [size=\"29243392\", alpha=\"0.01\", expect_size=\"14621696\"] \n  19 -> 20 [size =\"14621696\"]\n  20 [size=\"90515456\", alpha=\"0.09\", expect_size=\"45257728\"] \n  20 -> 21 [size =\"45257728\"]\n  21 [size=\"33470464\", alpha=\"0.08\", expect_size=\"16735232\"] \n  21 -> 22 [size =\"16735232\"]\n  21 -> 23 [size =\"16735232\"]\n  22 [size=\"74739712\", alpha=\"0.15\", expect_size=\"37369856\"] \n  22 -> 24 [size =\"37369856\"]\n  23 [size=\"82362368\", alpha=\"0.06\", expect_size=\"41181184\"] \n  24 [size=\"17014784\", alpha=\"0.16\", expect_size=\"8507392\"] \n  24 -> 25 [size =\"8507392\"]\n  25 [size=\"32499712\", alpha=\"0.06\", expect_size=\"16249856\"] \n  25 -> 26 [size =\"16249856\"]\n  26 [size=\"49899520\", alpha=\"0.05\", expect_size=\"24949760\"] \n  26 -> 27 [size =\"24949760\"]\n  27 [size=\"40962048\", alpha=\"0.03\", expect_size=\"20481024\"] \n  27 -> 28 [size =\"20481024\"]\n  27 -> 29 [size =\"20481024\"]\n  28 [size=\"15640576\", alpha=\"0.18\", expect_size=\"7820288\"] \n  28 -> 30 [size =\"7820288\"]\n  29 [size=\"88233984\", alpha=\"0.02\", expect_size=\"44116992\"] \n  29 -> 30 [size =\"44116992\"]\n  30 [size=\"95291392\", alpha=\"0.01\", expect_size=\"47645696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129594880\", alpha=\"0.02\", expect_size=\"51837952\"] \n  1 -> 10 [size =\"51837952\"]\n  1 -> 10 [size =\"51837952\"]\n  2 [size=\"103925760\", alpha=\"0.06\", expect_size=\"41570304\"] \n  2 -> 9 [size =\"41570304\"]\n  2 -> 11 [size =\"41570304\"]\n  3 [size=\"83683840\", alpha=\"0.03\", expect_size=\"33473536\"] \n  3 -> 11 [size =\"33473536\"]\n  4 [size=\"90183680\", alpha=\"0.18\", expect_size=\"36073472\"] \n  4 -> 8 [size =\"36073472\"]\n  4 -> 9 [size =\"36073472\"]\n  4 -> 11 [size =\"36073472\"]\n  5 [size=\"58961920\", alpha=\"0.10\", expect_size=\"23584768\"] \n  5 -> 8 [size =\"23584768\"]\n  5 -> 10 [size =\"23584768\"]\n  5 -> 11 [size =\"23584768\"]\n  6 [size=\"105295360\", alpha=\"0.07\", expect_size=\"42118144\"] \n  6 -> 8 [size =\"42118144\"]\n  6 -> 9 [size =\"42118144\"]\n  6 -> 10 [size =\"42118144\"]\n  6 -> 11 [size =\"42118144\"]\n  7 [size=\"20206080\", alpha=\"0.18\", expect_size=\"8082432\"] \n  7 -> 9 [size =\"8082432\"]\n  7 -> 10 [size =\"8082432\"]\n  7 -> 10 [size =\"8082432\"]\n  7 -> 11 [size =\"8082432\"]\n  8 [size=\"54556160\", alpha=\"0.17\", expect_size=\"21822464\"] \n  8 -> 12 [size =\"21822464\"]\n  8 -> 13 [size =\"21822464\"]\n  8 -> 14 [size =\"21822464\"]\n  8 -> 17 [size =\"21822464\"]\n  9 [size=\"108295680\", alpha=\"0.01\", expect_size=\"43318272\"] \n  9 -> 12 [size =\"43318272\"]\n  9 -> 13 [size =\"43318272\"]\n  9 -> 14 [size =\"43318272\"]\n  9 -> 15 [size =\"43318272\"]\n  9 -> 16 [size =\"43318272\"]\n  9 -> 17 [size =\"43318272\"]\n  10 [size=\"111997440\", alpha=\"0.04\", expect_size=\"44798976\"] \n  10 -> 12 [size =\"44798976\"]\n  10 -> 13 [size =\"44798976\"]\n  10 -> 14 [size =\"44798976\"]\n  10 -> 15 [size =\"44798976\"]\n  11 [size=\"28275200\", alpha=\"0.18\", expect_size=\"11310080\"] \n  11 -> 12 [size =\"11310080\"]\n  11 -> 13 [size =\"11310080\"]\n  11 -> 14 [size =\"11310080\"]\n  11 -> 17 [size =\"11310080\"]\n  12 [size=\"42890240\", alpha=\"0.12\", expect_size=\"17156096\"] \n  12 -> 18 [size =\"17156096\"]\n  12 -> 19 [size =\"17156096\"]\n  12 -> 20 [size =\"17156096\"]\n  13 [size=\"79938560\", alpha=\"0.12\", expect_size=\"31975424\"] \n  13 -> 18 [size =\"31975424\"]\n  13 -> 20 [size =\"31975424\"]\n  14 [size=\"95336960\", alpha=\"0.06\", expect_size=\"38134784\"] \n  14 -> 18 [size =\"38134784\"]\n  14 -> 19 [size =\"38134784\"]\n  14 -> 20 [size =\"38134784\"]\n  15 [size=\"82631680\", alpha=\"0.07\", expect_size=\"33052672\"] \n  15 -> 19 [size =\"33052672\"]\n  15 -> 20 [size =\"33052672\"]\n  15 -> 20 [size =\"33052672\"]\n  16 [size=\"22333440\", alpha=\"0.19\", expect_size=\"8933376\"] \n  16 -> 19 [size =\"8933376\"]\n  17 [size=\"61785600\", alpha=\"0.10\", expect_size=\"24714240\"] \n  17 -> 18 [size =\"24714240\"]\n  17 -> 20 [size =\"24714240\"]\n  18 [size=\"51284480\", alpha=\"0.15\", expect_size=\"20513792\"] \n  18 -> 21 [size =\"20513792\"]\n  19 [size=\"31818240\", alpha=\"0.15\", expect_size=\"12727296\"] \n  19 -> 22 [size =\"12727296\"]\n  20 [size=\"35914240\", alpha=\"0.02\", expect_size=\"14365696\"] \n  20 -> 22 [size =\"14365696\"]\n  21 [size=\"60226560\", alpha=\"0.09\", expect_size=\"24090624\"] \n  21 -> 23 [size =\"24090624\"]\n  21 -> 24 [size =\"24090624\"]\n  21 -> 26 [size =\"24090624\"]\n  22 [size=\"46681600\", alpha=\"0.11\", expect_size=\"18672640\"] \n  22 -> 23 [size =\"18672640\"]\n  22 -> 24 [size =\"18672640\"]\n  22 -> 25 [size =\"18672640\"]\n  22 -> 26 [size =\"18672640\"]\n  23 [size=\"115709440\", alpha=\"0.06\", expect_size=\"46283776\"] \n  23 -> 27 [size =\"46283776\"]\n  23 -> 28 [size =\"46283776\"]\n  24 [size=\"66137600\", alpha=\"0.13\", expect_size=\"26455040\"] \n  24 -> 27 [size =\"26455040\"]\n  24 -> 28 [size =\"26455040\"]\n  24 -> 29 [size =\"26455040\"]\n  25 [size=\"101524480\", alpha=\"0.08\", expect_size=\"40609792\"] \n  25 -> 27 [size =\"40609792\"]\n  25 -> 28 [size =\"40609792\"]\n  25 -> 29 [size =\"40609792\"]\n  26 [size=\"25610240\", alpha=\"0.18\", expect_size=\"10244096\"] \n  26 -> 28 [size =\"10244096\"]\n  26 -> 29 [size =\"10244096\"]\n  27 [size=\"18583040\", alpha=\"0.10\", expect_size=\"7433216\"] \n  27 -> 30 [size =\"7433216\"]\n  28 [size=\"76805120\", alpha=\"0.09\", expect_size=\"30722048\"] \n  28 -> 30 [size =\"30722048\"]\n  29 [size=\"48616960\", alpha=\"0.04\", expect_size=\"19446784\"] \n  29 -> 30 [size =\"19446784\"]\n  30 [size=\"21488640\", alpha=\"0.16\", expect_size=\"8595456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119257600\", alpha=\"0.18\", expect_size=\"47703040\"] \n  1 -> 11 [size =\"47703040\"]\n  1 -> 11 [size =\"47703040\"]\n  1 -> 12 [size =\"47703040\"]\n  1 -> 13 [size =\"47703040\"]\n  1 -> 15 [size =\"47703040\"]\n  1 -> 17 [size =\"47703040\"]\n  2 [size=\"58050560\", alpha=\"0.17\", expect_size=\"23220224\"] \n  2 -> 12 [size =\"23220224\"]\n  2 -> 13 [size =\"23220224\"]\n  2 -> 16 [size =\"23220224\"]\n  2 -> 18 [size =\"23220224\"]\n  3 [size=\"30072320\", alpha=\"0.10\", expect_size=\"12028928\"] \n  3 -> 12 [size =\"12028928\"]\n  3 -> 13 [size =\"12028928\"]\n  3 -> 15 [size =\"12028928\"]\n  4 [size=\"62535680\", alpha=\"0.08\", expect_size=\"25014272\"] \n  4 -> 10 [size =\"25014272\"]\n  4 -> 11 [size =\"25014272\"]\n  4 -> 15 [size =\"25014272\"]\n  4 -> 17 [size =\"25014272\"]\n  5 [size=\"130567680\", alpha=\"0.02\", expect_size=\"52227072\"] \n  5 -> 10 [size =\"52227072\"]\n  5 -> 15 [size =\"52227072\"]\n  5 -> 16 [size =\"52227072\"]\n  5 -> 18 [size =\"52227072\"]\n  6 [size=\"38901760\", alpha=\"0.03\", expect_size=\"15560704\"] \n  6 -> 11 [size =\"15560704\"]\n  6 -> 12 [size =\"15560704\"]\n  6 -> 13 [size =\"15560704\"]\n  6 -> 16 [size =\"15560704\"]\n  6 -> 18 [size =\"15560704\"]\n  7 [size=\"60060160\", alpha=\"0.01\", expect_size=\"24024064\"] \n  7 -> 11 [size =\"24024064\"]\n  7 -> 12 [size =\"24024064\"]\n  8 [size=\"48220160\", alpha=\"0.09\", expect_size=\"19288064\"] \n  8 -> 11 [size =\"19288064\"]\n  8 -> 18 [size =\"19288064\"]\n  9 [size=\"25126400\", alpha=\"0.10\", expect_size=\"10050560\"] \n  9 -> 10 [size =\"10050560\"]\n  9 -> 11 [size =\"10050560\"]\n  9 -> 12 [size =\"10050560\"]\n  9 -> 14 [size =\"10050560\"]\n  9 -> 15 [size =\"10050560\"]\n  9 -> 16 [size =\"10050560\"]\n  9 -> 18 [size =\"10050560\"]\n  10 [size=\"41894400\", alpha=\"0.17\", expect_size=\"16757760\"] \n  10 -> 20 [size =\"16757760\"]\n  10 -> 22 [size =\"16757760\"]\n  10 -> 24 [size =\"16757760\"]\n  10 -> 25 [size =\"16757760\"]\n  10 -> 26 [size =\"16757760\"]\n  10 -> 27 [size =\"16757760\"]\n  11 [size=\"82193920\", alpha=\"0.13\", expect_size=\"32877568\"] \n  11 -> 19 [size =\"32877568\"]\n  11 -> 21 [size =\"32877568\"]\n  11 -> 22 [size =\"32877568\"]\n  11 -> 23 [size =\"32877568\"]\n  11 -> 24 [size =\"32877568\"]\n  11 -> 26 [size =\"32877568\"]\n  11 -> 27 [size =\"32877568\"]\n  12 [size=\"69844480\", alpha=\"0.05\", expect_size=\"27937792\"] \n  12 -> 21 [size =\"27937792\"]\n  12 -> 22 [size =\"27937792\"]\n  12 -> 23 [size =\"27937792\"]\n  12 -> 24 [size =\"27937792\"]\n  12 -> 24 [size =\"27937792\"]\n  12 -> 25 [size =\"27937792\"]\n  12 -> 26 [size =\"27937792\"]\n  12 -> 27 [size =\"27937792\"]\n  13 [size=\"52221440\", alpha=\"0.07\", expect_size=\"20888576\"] \n  13 -> 22 [size =\"20888576\"]\n  13 -> 23 [size =\"20888576\"]\n  13 -> 24 [size =\"20888576\"]\n  13 -> 25 [size =\"20888576\"]\n  13 -> 26 [size =\"20888576\"]\n  13 -> 27 [size =\"20888576\"]\n  14 [size=\"111805440\", alpha=\"0.18\", expect_size=\"44722176\"] \n  14 -> 22 [size =\"44722176\"]\n  14 -> 23 [size =\"44722176\"]\n  14 -> 26 [size =\"44722176\"]\n  14 -> 27 [size =\"44722176\"]\n  15 [size=\"42992640\", alpha=\"0.02\", expect_size=\"17197056\"] \n  15 -> 22 [size =\"17197056\"]\n  15 -> 23 [size =\"17197056\"]\n  15 -> 25 [size =\"17197056\"]\n  15 -> 26 [size =\"17197056\"]\n  15 -> 27 [size =\"17197056\"]\n  16 [size=\"55951360\", alpha=\"0.12\", expect_size=\"22380544\"] \n  16 -> 19 [size =\"22380544\"]\n  16 -> 20 [size =\"22380544\"]\n  16 -> 21 [size =\"22380544\"]\n  16 -> 23 [size =\"22380544\"]\n  16 -> 24 [size =\"22380544\"]\n  16 -> 25 [size =\"22380544\"]\n  16 -> 26 [size =\"22380544\"]\n  16 -> 27 [size =\"22380544\"]\n  17 [size=\"75832320\", alpha=\"0.13\", expect_size=\"30332928\"] \n  17 -> 21 [size =\"30332928\"]\n  17 -> 22 [size =\"30332928\"]\n  17 -> 23 [size =\"30332928\"]\n  17 -> 23 [size =\"30332928\"]\n  17 -> 24 [size =\"30332928\"]\n  17 -> 25 [size =\"30332928\"]\n  17 -> 26 [size =\"30332928\"]\n  17 -> 27 [size =\"30332928\"]\n  18 [size=\"81384960\", alpha=\"0.13\", expect_size=\"32553984\"] \n  18 -> 22 [size =\"32553984\"]\n  18 -> 23 [size =\"32553984\"]\n  18 -> 24 [size =\"32553984\"]\n  18 -> 25 [size =\"32553984\"]\n  18 -> 26 [size =\"32553984\"]\n  19 [size=\"16309760\", alpha=\"0.12\", expect_size=\"6523904\"] \n  19 -> 29 [size =\"6523904\"]\n  20 [size=\"75768320\", alpha=\"0.17\", expect_size=\"30307328\"] \n  20 -> 29 [size =\"30307328\"]\n  21 [size=\"58178560\", alpha=\"0.01\", expect_size=\"23271424\"] \n  21 -> 29 [size =\"23271424\"]\n  22 [size=\"15114240\", alpha=\"0.11\", expect_size=\"6045696\"] \n  22 -> 29 [size =\"6045696\"]\n  23 [size=\"42641920\", alpha=\"0.05\", expect_size=\"17056768\"] \n  23 -> 29 [size =\"17056768\"]\n  24 [size=\"81210880\", alpha=\"0.07\", expect_size=\"32484352\"] \n  24 -> 28 [size =\"32484352\"]\n  25 [size=\"70382080\", alpha=\"0.09\", expect_size=\"28152832\"] \n  25 -> 29 [size =\"28152832\"]\n  25 -> 30 [size =\"28152832\"]\n  26 [size=\"80983040\", alpha=\"0.16\", expect_size=\"32393216\"] \n  27 [size=\"36500480\", alpha=\"0.10\", expect_size=\"14600192\"] \n  27 -> 29 [size =\"14600192\"]\n  28 [size=\"112734720\", alpha=\"0.10\", expect_size=\"45093888\"] \n  29 [size=\"68564480\", alpha=\"0.12\", expect_size=\"27425792\"] \n  30 [size=\"21890560\", alpha=\"0.20\", expect_size=\"8756224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35868672\", alpha=\"0.02\", expect_size=\"17934336\"] \n  1 -> 10 [size =\"17934336\"]\n  1 -> 11 [size =\"17934336\"]\n  1 -> 14 [size =\"17934336\"]\n  2 [size=\"102217728\", alpha=\"0.00\", expect_size=\"51108864\"] \n  2 -> 10 [size =\"51108864\"]\n  2 -> 12 [size =\"51108864\"]\n  3 [size=\"73113600\", alpha=\"0.16\", expect_size=\"36556800\"] \n  3 -> 10 [size =\"36556800\"]\n  4 [size=\"12683264\", alpha=\"0.07\", expect_size=\"6341632\"] \n  4 -> 13 [size =\"6341632\"]\n  5 [size=\"91590656\", alpha=\"0.10\", expect_size=\"45795328\"] \n  6 [size=\"14501888\", alpha=\"0.16\", expect_size=\"7250944\"] \n  6 -> 10 [size =\"7250944\"]\n  6 -> 11 [size =\"7250944\"]\n  6 -> 12 [size =\"7250944\"]\n  7 [size=\"39124992\", alpha=\"0.10\", expect_size=\"19562496\"] \n  7 -> 10 [size =\"19562496\"]\n  7 -> 14 [size =\"19562496\"]\n  8 [size=\"81797120\", alpha=\"0.17\", expect_size=\"40898560\"] \n  8 -> 9 [size =\"40898560\"]\n  8 -> 11 [size =\"40898560\"]\n  8 -> 14 [size =\"40898560\"]\n  9 [size=\"37453824\", alpha=\"0.05\", expect_size=\"18726912\"] \n  9 -> 16 [size =\"18726912\"]\n  9 -> 18 [size =\"18726912\"]\n  9 -> 19 [size =\"18726912\"]\n  10 [size=\"71262208\", alpha=\"0.14\", expect_size=\"35631104\"] \n  10 -> 15 [size =\"35631104\"]\n  10 -> 17 [size =\"35631104\"]\n  10 -> 19 [size =\"35631104\"]\n  10 -> 22 [size =\"35631104\"]\n  11 [size=\"22294528\", alpha=\"0.18\", expect_size=\"11147264\"] \n  11 -> 15 [size =\"11147264\"]\n  11 -> 21 [size =\"11147264\"]\n  12 [size=\"33300480\", alpha=\"0.03\", expect_size=\"16650240\"] \n  12 -> 19 [size =\"16650240\"]\n  12 -> 20 [size =\"16650240\"]\n  12 -> 22 [size =\"16650240\"]\n  13 [size=\"35119104\", alpha=\"0.11\", expect_size=\"17559552\"] \n  13 -> 19 [size =\"17559552\"]\n  13 -> 20 [size =\"17559552\"]\n  13 -> 22 [size =\"17559552\"]\n  14 [size=\"16918528\", alpha=\"0.12\", expect_size=\"8459264\"] \n  14 -> 19 [size =\"8459264\"]\n  14 -> 20 [size =\"8459264\"]\n  14 -> 22 [size =\"8459264\"]\n  14 -> 23 [size =\"8459264\"]\n  15 [size=\"48590848\", alpha=\"0.07\", expect_size=\"24295424\"] \n  15 -> 29 [size =\"24295424\"]\n  16 [size=\"95436800\", alpha=\"0.00\", expect_size=\"47718400\"] \n  16 -> 24 [size =\"47718400\"]\n  16 -> 25 [size =\"47718400\"]\n  16 -> 27 [size =\"47718400\"]\n  17 [size=\"74457088\", alpha=\"0.06\", expect_size=\"37228544\"] \n  17 -> 24 [size =\"37228544\"]\n  17 -> 27 [size =\"37228544\"]\n  18 [size=\"28008448\", alpha=\"0.14\", expect_size=\"14004224\"] \n  19 [size=\"13094912\", alpha=\"0.16\", expect_size=\"6547456\"] \n  19 -> 24 [size =\"6547456\"]\n  19 -> 29 [size =\"6547456\"]\n  20 [size=\"35749888\", alpha=\"0.01\", expect_size=\"17874944\"] \n  20 -> 28 [size =\"17874944\"]\n  20 -> 29 [size =\"17874944\"]\n  21 [size=\"101238784\", alpha=\"0.11\", expect_size=\"50619392\"] \n  21 -> 24 [size =\"50619392\"]\n  21 -> 28 [size =\"50619392\"]\n  21 -> 29 [size =\"50619392\"]\n  22 [size=\"93859840\", alpha=\"0.20\", expect_size=\"46929920\"] \n  22 -> 24 [size =\"46929920\"]\n  22 -> 28 [size =\"46929920\"]\n  22 -> 29 [size =\"46929920\"]\n  22 -> 30 [size =\"46929920\"]\n  23 [size=\"12128256\", alpha=\"0.03\", expect_size=\"6064128\"] \n  23 -> 24 [size =\"6064128\"]\n  23 -> 26 [size =\"6064128\"]\n  23 -> 28 [size =\"6064128\"]\n  23 -> 30 [size =\"6064128\"]\n  24 [size=\"64473088\", alpha=\"0.06\", expect_size=\"32236544\"] \n  25 [size=\"28919808\", alpha=\"0.06\", expect_size=\"14459904\"] \n  26 [size=\"60846080\", alpha=\"0.07\", expect_size=\"30423040\"] \n  27 [size=\"62912512\", alpha=\"0.14\", expect_size=\"31456256\"] \n  28 [size=\"90681344\", alpha=\"0.16\", expect_size=\"45340672\"] \n  29 [size=\"62451712\", alpha=\"0.04\", expect_size=\"31225856\"] \n  30 [size=\"45105152\", alpha=\"0.05\", expect_size=\"22552576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95454720\", alpha=\"0.19\", expect_size=\"38181888\"] \n  1 -> 3 [size =\"38181888\"]\n  1 -> 4 [size =\"38181888\"]\n  2 [size=\"95831040\", alpha=\"0.14\", expect_size=\"38332416\"] \n  2 -> 3 [size =\"38332416\"]\n  3 [size=\"66841600\", alpha=\"0.19\", expect_size=\"26736640\"] \n  3 -> 6 [size =\"26736640\"]\n  4 [size=\"16371200\", alpha=\"0.10\", expect_size=\"6548480\"] \n  4 -> 5 [size =\"6548480\"]\n  4 -> 6 [size =\"6548480\"]\n  5 [size=\"89269760\", alpha=\"0.14\", expect_size=\"35707904\"] \n  5 -> 7 [size =\"35707904\"]\n  5 -> 8 [size =\"35707904\"]\n  6 [size=\"128744960\", alpha=\"0.20\", expect_size=\"51497984\"] \n  6 -> 7 [size =\"51497984\"]\n  6 -> 8 [size =\"51497984\"]\n  7 [size=\"32463360\", alpha=\"0.15\", expect_size=\"12985344\"] \n  7 -> 9 [size =\"12985344\"]\n  8 [size=\"44733440\", alpha=\"0.06\", expect_size=\"17893376\"] \n  8 -> 9 [size =\"17893376\"]\n  9 [size=\"73989120\", alpha=\"0.10\", expect_size=\"29595648\"] \n  9 -> 10 [size =\"29595648\"]\n  10 [size=\"59200000\", alpha=\"0.17\", expect_size=\"23680000\"] \n  10 -> 11 [size =\"23680000\"]\n  11 [size=\"44618240\", alpha=\"0.17\", expect_size=\"17847296\"] \n  11 -> 12 [size =\"17847296\"]\n  12 [size=\"39339520\", alpha=\"0.13\", expect_size=\"15735808\"] \n  12 -> 13 [size =\"15735808\"]\n  13 [size=\"124136960\", alpha=\"0.07\", expect_size=\"49654784\"] \n  13 -> 14 [size =\"49654784\"]\n  14 [size=\"118832640\", alpha=\"0.00\", expect_size=\"47533056\"] \n  14 -> 15 [size =\"47533056\"]\n  14 -> 16 [size =\"47533056\"]\n  15 [size=\"61104640\", alpha=\"0.16\", expect_size=\"24441856\"] \n  15 -> 17 [size =\"24441856\"]\n  15 -> 18 [size =\"24441856\"]\n  16 [size=\"22858240\", alpha=\"0.13\", expect_size=\"9143296\"] \n  16 -> 18 [size =\"9143296\"]\n  17 [size=\"22113280\", alpha=\"0.04\", expect_size=\"8845312\"] \n  17 -> 19 [size =\"8845312\"]\n  18 [size=\"108454400\", alpha=\"0.16\", expect_size=\"43381760\"] \n  19 [size=\"23073280\", alpha=\"0.14\", expect_size=\"9229312\"] \n  19 -> 20 [size =\"9229312\"]\n  20 [size=\"83328000\", alpha=\"0.18\", expect_size=\"33331200\"] \n  20 -> 21 [size =\"33331200\"]\n  20 -> 22 [size =\"33331200\"]\n  21 [size=\"63070720\", alpha=\"0.16\", expect_size=\"25228288\"] \n  21 -> 23 [size =\"25228288\"]\n  22 [size=\"43013120\", alpha=\"0.08\", expect_size=\"17205248\"] \n  22 -> 23 [size =\"17205248\"]\n  23 [size=\"118594560\", alpha=\"0.10\", expect_size=\"47437824\"] \n  23 -> 24 [size =\"47437824\"]\n  24 [size=\"43722240\", alpha=\"0.12\", expect_size=\"17488896\"] \n  24 -> 25 [size =\"17488896\"]\n  25 [size=\"46282240\", alpha=\"0.07\", expect_size=\"18512896\"] \n  25 -> 26 [size =\"18512896\"]\n  25 -> 27 [size =\"18512896\"]\n  26 [size=\"23982080\", alpha=\"0.01\", expect_size=\"9592832\"] \n  27 [size=\"101529600\", alpha=\"0.19\", expect_size=\"40611840\"] \n  27 -> 28 [size =\"40611840\"]\n  28 [size=\"122836480\", alpha=\"0.02\", expect_size=\"49134592\"] \n  28 -> 29 [size =\"49134592\"]\n  29 [size=\"102056960\", alpha=\"0.15\", expect_size=\"40822784\"] \n  29 -> 30 [size =\"40822784\"]\n  30 [size=\"64519680\", alpha=\"0.17\", expect_size=\"25807872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36073472\", alpha=\"0.12\", expect_size=\"18036736\"] \n  1 -> 11 [size =\"18036736\"]\n  1 -> 12 [size =\"18036736\"]\n  1 -> 14 [size =\"18036736\"]\n  1 -> 15 [size =\"18036736\"]\n  1 -> 18 [size =\"18036736\"]\n  1 -> 19 [size =\"18036736\"]\n  1 -> 20 [size =\"18036736\"]\n  1 -> 22 [size =\"18036736\"]\n  2 [size=\"22456320\", alpha=\"0.20\", expect_size=\"11228160\"] \n  2 -> 12 [size =\"11228160\"]\n  2 -> 12 [size =\"11228160\"]\n  2 -> 15 [size =\"11228160\"]\n  2 -> 22 [size =\"11228160\"]\n  3 [size=\"48728064\", alpha=\"0.14\", expect_size=\"24364032\"] \n  3 -> 15 [size =\"24364032\"]\n  3 -> 19 [size =\"24364032\"]\n  4 [size=\"80320512\", alpha=\"0.08\", expect_size=\"40160256\"] \n  4 -> 13 [size =\"40160256\"]\n  4 -> 14 [size =\"40160256\"]\n  4 -> 17 [size =\"40160256\"]\n  5 [size=\"59312128\", alpha=\"0.17\", expect_size=\"29656064\"] \n  5 -> 15 [size =\"29656064\"]\n  5 -> 17 [size =\"29656064\"]\n  6 [size=\"66584576\", alpha=\"0.10\", expect_size=\"33292288\"] \n  6 -> 11 [size =\"33292288\"]\n  6 -> 12 [size =\"33292288\"]\n  6 -> 18 [size =\"33292288\"]\n  7 [size=\"40011776\", alpha=\"0.10\", expect_size=\"20005888\"] \n  7 -> 15 [size =\"20005888\"]\n  8 [size=\"104413184\", alpha=\"0.05\", expect_size=\"52206592\"] \n  8 -> 17 [size =\"52206592\"]\n  8 -> 19 [size =\"52206592\"]\n  8 -> 22 [size =\"52206592\"]\n  9 [size=\"80629760\", alpha=\"0.00\", expect_size=\"40314880\"] \n  9 -> 17 [size =\"40314880\"]\n  9 -> 19 [size =\"40314880\"]\n  9 -> 21 [size =\"40314880\"]\n  9 -> 22 [size =\"40314880\"]\n  10 [size=\"16627712\", alpha=\"0.03\", expect_size=\"8313856\"] \n  10 -> 11 [size =\"8313856\"]\n  10 -> 12 [size =\"8313856\"]\n  10 -> 14 [size =\"8313856\"]\n  10 -> 16 [size =\"8313856\"]\n  10 -> 17 [size =\"8313856\"]\n  10 -> 19 [size =\"8313856\"]\n  10 -> 21 [size =\"8313856\"]\n  10 -> 22 [size =\"8313856\"]\n  11 [size=\"43976704\", alpha=\"0.11\", expect_size=\"21988352\"] \n  11 -> 23 [size =\"21988352\"]\n  11 -> 28 [size =\"21988352\"]\n  11 -> 30 [size =\"21988352\"]\n  12 [size=\"102385664\", alpha=\"0.14\", expect_size=\"51192832\"] \n  12 -> 29 [size =\"51192832\"]\n  13 [size=\"101746688\", alpha=\"0.18\", expect_size=\"50873344\"] \n  13 -> 30 [size =\"50873344\"]\n  14 [size=\"73246720\", alpha=\"0.19\", expect_size=\"36623360\"] \n  14 -> 28 [size =\"36623360\"]\n  14 -> 29 [size =\"36623360\"]\n  14 -> 30 [size =\"36623360\"]\n  15 [size=\"16791552\", alpha=\"0.13\", expect_size=\"8395776\"] \n  15 -> 23 [size =\"8395776\"]\n  15 -> 25 [size =\"8395776\"]\n  15 -> 27 [size =\"8395776\"]\n  15 -> 29 [size =\"8395776\"]\n  16 [size=\"96165888\", alpha=\"0.11\", expect_size=\"48082944\"] \n  16 -> 23 [size =\"48082944\"]\n  16 -> 26 [size =\"48082944\"]\n  16 -> 28 [size =\"48082944\"]\n  16 -> 29 [size =\"48082944\"]\n  17 [size=\"50012160\", alpha=\"0.04\", expect_size=\"25006080\"] \n  17 -> 23 [size =\"25006080\"]\n  17 -> 28 [size =\"25006080\"]\n  17 -> 29 [size =\"25006080\"]\n  18 [size=\"97648640\", alpha=\"0.13\", expect_size=\"48824320\"] \n  19 [size=\"28549120\", alpha=\"0.05\", expect_size=\"14274560\"] \n  19 -> 24 [size =\"14274560\"]\n  19 -> 25 [size =\"14274560\"]\n  19 -> 26 [size =\"14274560\"]\n  19 -> 28 [size =\"14274560\"]\n  19 -> 30 [size =\"14274560\"]\n  20 [size=\"30879744\", alpha=\"0.18\", expect_size=\"15439872\"] \n  20 -> 24 [size =\"15439872\"]\n  21 [size=\"43724800\", alpha=\"0.17\", expect_size=\"21862400\"] \n  21 -> 23 [size =\"21862400\"]\n  21 -> 26 [size =\"21862400\"]\n  21 -> 29 [size =\"21862400\"]\n  22 [size=\"95524864\", alpha=\"0.17\", expect_size=\"47762432\"] \n  22 -> 25 [size =\"47762432\"]\n  22 -> 26 [size =\"47762432\"]\n  22 -> 28 [size =\"47762432\"]\n  22 -> 29 [size =\"47762432\"]\n  23 [size=\"69429248\", alpha=\"0.06\", expect_size=\"34714624\"] \n  24 [size=\"62056448\", alpha=\"0.10\", expect_size=\"31028224\"] \n  25 [size=\"59410432\", alpha=\"0.04\", expect_size=\"29705216\"] \n  26 [size=\"27144192\", alpha=\"0.10\", expect_size=\"13572096\"] \n  27 [size=\"77322240\", alpha=\"0.03\", expect_size=\"38661120\"] \n  28 [size=\"97878016\", alpha=\"0.15\", expect_size=\"48939008\"] \n  29 [size=\"64350208\", alpha=\"0.02\", expect_size=\"32175104\"] \n  30 [size=\"89903104\", alpha=\"0.10\", expect_size=\"44951552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44820480\", alpha=\"0.20\", expect_size=\"13446144\"] \n  1 -> 3 [size =\"13446144\"]\n  1 -> 4 [size =\"13446144\"]\n  2 [size=\"32559787\", alpha=\"0.08\", expect_size=\"9767936\"] \n  2 -> 3 [size =\"9767936\"]\n  2 -> 4 [size =\"9767936\"]\n  3 [size=\"119821653\", alpha=\"0.12\", expect_size=\"35946496\"] \n  3 -> 5 [size =\"35946496\"]\n  3 -> 6 [size =\"35946496\"]\n  4 [size=\"116517547\", alpha=\"0.03\", expect_size=\"34955264\"] \n  4 -> 5 [size =\"34955264\"]\n  5 [size=\"82984960\", alpha=\"0.17\", expect_size=\"24895488\"] \n  5 -> 7 [size =\"24895488\"]\n  6 [size=\"123187200\", alpha=\"0.09\", expect_size=\"36956160\"] \n  6 -> 7 [size =\"36956160\"]\n  7 [size=\"52957867\", alpha=\"0.07\", expect_size=\"15887360\"] \n  7 -> 8 [size =\"15887360\"]\n  8 [size=\"29245440\", alpha=\"0.08\", expect_size=\"8773632\"] \n  8 -> 9 [size =\"8773632\"]\n  8 -> 10 [size =\"8773632\"]\n  9 [size=\"92450133\", alpha=\"0.09\", expect_size=\"27735040\"] \n  9 -> 11 [size =\"27735040\"]\n  10 [size=\"39191893\", alpha=\"0.04\", expect_size=\"11757568\"] \n  10 -> 11 [size =\"11757568\"]\n  10 -> 12 [size =\"11757568\"]\n  11 [size=\"79134720\", alpha=\"0.13\", expect_size=\"23740416\"] \n  11 -> 13 [size =\"23740416\"]\n  11 -> 14 [size =\"23740416\"]\n  12 [size=\"75386880\", alpha=\"0.07\", expect_size=\"22616064\"] \n  12 -> 13 [size =\"22616064\"]\n  13 [size=\"138909013\", alpha=\"0.02\", expect_size=\"41672704\"] \n  13 -> 15 [size =\"41672704\"]\n  13 -> 16 [size =\"41672704\"]\n  14 [size=\"75502933\", alpha=\"0.08\", expect_size=\"22650880\"] \n  14 -> 15 [size =\"22650880\"]\n  14 -> 16 [size =\"22650880\"]\n  15 [size=\"102440960\", alpha=\"0.10\", expect_size=\"30732288\"] \n  15 -> 17 [size =\"30732288\"]\n  15 -> 18 [size =\"30732288\"]\n  16 [size=\"75485867\", alpha=\"0.02\", expect_size=\"22645760\"] \n  16 -> 17 [size =\"22645760\"]\n  16 -> 18 [size =\"22645760\"]\n  17 [size=\"143305387\", alpha=\"0.07\", expect_size=\"42991616\"] \n  17 -> 19 [size =\"42991616\"]\n  17 -> 20 [size =\"42991616\"]\n  18 [size=\"41854293\", alpha=\"0.05\", expect_size=\"12556288\"] \n  18 -> 19 [size =\"12556288\"]\n  19 [size=\"106509653\", alpha=\"0.08\", expect_size=\"31952896\"] \n  19 -> 21 [size =\"31952896\"]\n  20 [size=\"174363307\", alpha=\"0.12\", expect_size=\"52308992\"] \n  21 [size=\"46353067\", alpha=\"0.00\", expect_size=\"13905920\"] \n  21 -> 22 [size =\"13905920\"]\n  22 [size=\"146769920\", alpha=\"0.10\", expect_size=\"44030976\"] \n  22 -> 23 [size =\"44030976\"]\n  23 [size=\"47786667\", alpha=\"0.13\", expect_size=\"14336000\"] \n  23 -> 24 [size =\"14336000\"]\n  24 [size=\"61518507\", alpha=\"0.08\", expect_size=\"18455552\"] \n  24 -> 25 [size =\"18455552\"]\n  24 -> 26 [size =\"18455552\"]\n  25 [size=\"128133120\", alpha=\"0.12\", expect_size=\"38439936\"] \n  25 -> 27 [size =\"38439936\"]\n  26 [size=\"51848533\", alpha=\"0.09\", expect_size=\"15554560\"] \n  26 -> 27 [size =\"15554560\"]\n  27 [size=\"68239360\", alpha=\"0.10\", expect_size=\"20471808\"] \n  27 -> 28 [size =\"20471808\"]\n  27 -> 29 [size =\"20471808\"]\n  28 [size=\"121248427\", alpha=\"0.13\", expect_size=\"36374528\"] \n  28 -> 30 [size =\"36374528\"]\n  29 [size=\"162344960\", alpha=\"0.06\", expect_size=\"48703488\"] \n  29 -> 30 [size =\"48703488\"]\n  30 [size=\"68635307\", alpha=\"0.01\", expect_size=\"20590592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45391872\", alpha=\"0.06\", expect_size=\"22695936\"] \n  1 -> 8 [size =\"22695936\"]\n  1 -> 11 [size =\"22695936\"]\n  1 -> 15 [size =\"22695936\"]\n  2 [size=\"32989184\", alpha=\"0.00\", expect_size=\"16494592\"] \n  2 -> 6 [size =\"16494592\"]\n  2 -> 7 [size =\"16494592\"]\n  2 -> 8 [size =\"16494592\"]\n  2 -> 9 [size =\"16494592\"]\n  2 -> 15 [size =\"16494592\"]\n  3 [size=\"78073856\", alpha=\"0.04\", expect_size=\"39036928\"] \n  3 -> 10 [size =\"39036928\"]\n  3 -> 13 [size =\"39036928\"]\n  4 [size=\"88727552\", alpha=\"0.12\", expect_size=\"44363776\"] \n  4 -> 8 [size =\"44363776\"]\n  4 -> 10 [size =\"44363776\"]\n  4 -> 12 [size =\"44363776\"]\n  4 -> 13 [size =\"44363776\"]\n  5 [size=\"99532800\", alpha=\"0.13\", expect_size=\"49766400\"] \n  5 -> 11 [size =\"49766400\"]\n  5 -> 14 [size =\"49766400\"]\n  6 [size=\"11180032\", alpha=\"0.12\", expect_size=\"5590016\"] \n  6 -> 21 [size =\"5590016\"]\n  6 -> 22 [size =\"5590016\"]\n  7 [size=\"58920960\", alpha=\"0.08\", expect_size=\"29460480\"] \n  7 -> 16 [size =\"29460480\"]\n  7 -> 19 [size =\"29460480\"]\n  7 -> 21 [size =\"29460480\"]\n  7 -> 22 [size =\"29460480\"]\n  8 [size=\"22118400\", alpha=\"0.00\", expect_size=\"11059200\"] \n  8 -> 16 [size =\"11059200\"]\n  9 [size=\"41756672\", alpha=\"0.18\", expect_size=\"20878336\"] \n  9 -> 21 [size =\"20878336\"]\n  9 -> 22 [size =\"20878336\"]\n  10 [size=\"42383360\", alpha=\"0.04\", expect_size=\"21191680\"] \n  11 [size=\"80082944\", alpha=\"0.15\", expect_size=\"40041472\"] \n  11 -> 18 [size =\"40041472\"]\n  11 -> 19 [size =\"40041472\"]\n  12 [size=\"12124160\", alpha=\"0.06\", expect_size=\"6062080\"] \n  12 -> 17 [size =\"6062080\"]\n  13 [size=\"14368768\", alpha=\"0.13\", expect_size=\"7184384\"] \n  13 -> 19 [size =\"7184384\"]\n  13 -> 20 [size =\"7184384\"]\n  13 -> 22 [size =\"7184384\"]\n  14 [size=\"34246656\", alpha=\"0.13\", expect_size=\"17123328\"] \n  14 -> 16 [size =\"17123328\"]\n  14 -> 17 [size =\"17123328\"]\n  14 -> 19 [size =\"17123328\"]\n  14 -> 22 [size =\"17123328\"]\n  15 [size=\"89741312\", alpha=\"0.09\", expect_size=\"44870656\"] \n  15 -> 19 [size =\"44870656\"]\n  16 [size=\"56641536\", alpha=\"0.01\", expect_size=\"28320768\"] \n  16 -> 26 [size =\"28320768\"]\n  16 -> 27 [size =\"28320768\"]\n  16 -> 28 [size =\"28320768\"]\n  16 -> 29 [size =\"28320768\"]\n  17 [size=\"18448384\", alpha=\"0.01\", expect_size=\"9224192\"] \n  17 -> 29 [size =\"9224192\"]\n  18 [size=\"53911552\", alpha=\"0.04\", expect_size=\"26955776\"] \n  18 -> 24 [size =\"26955776\"]\n  18 -> 27 [size =\"26955776\"]\n  19 [size=\"54206464\", alpha=\"0.04\", expect_size=\"27103232\"] \n  19 -> 23 [size =\"27103232\"]\n  19 -> 25 [size =\"27103232\"]\n  19 -> 26 [size =\"27103232\"]\n  19 -> 30 [size =\"27103232\"]\n  20 [size=\"46798848\", alpha=\"0.15\", expect_size=\"23399424\"] \n  20 -> 26 [size =\"23399424\"]\n  20 -> 27 [size =\"23399424\"]\n  20 -> 30 [size =\"23399424\"]\n  21 [size=\"64501760\", alpha=\"0.14\", expect_size=\"32250880\"] \n  21 -> 28 [size =\"32250880\"]\n  21 -> 30 [size =\"32250880\"]\n  22 [size=\"39581696\", alpha=\"0.17\", expect_size=\"19790848\"] \n  22 -> 23 [size =\"19790848\"]\n  22 -> 28 [size =\"19790848\"]\n  23 [size=\"65599488\", alpha=\"0.15\", expect_size=\"32799744\"] \n  24 [size=\"33652736\", alpha=\"0.10\", expect_size=\"16826368\"] \n  25 [size=\"97087488\", alpha=\"0.03\", expect_size=\"48543744\"] \n  26 [size=\"46499840\", alpha=\"0.16\", expect_size=\"23249920\"] \n  27 [size=\"53219328\", alpha=\"0.20\", expect_size=\"26609664\"] \n  28 [size=\"58685440\", alpha=\"0.06\", expect_size=\"29342720\"] \n  29 [size=\"78379008\", alpha=\"0.19\", expect_size=\"39189504\"] \n  30 [size=\"96315392\", alpha=\"0.18\", expect_size=\"48157696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92768256\", alpha=\"0.05\", expect_size=\"46384128\"] \n  1 -> 18 [size =\"46384128\"]\n  1 -> 21 [size =\"46384128\"]\n  1 -> 24 [size =\"46384128\"]\n  1 -> 26 [size =\"46384128\"]\n  2 [size=\"56817664\", alpha=\"0.17\", expect_size=\"28408832\"] \n  2 -> 18 [size =\"28408832\"]\n  2 -> 24 [size =\"28408832\"]\n  2 -> 24 [size =\"28408832\"]\n  2 -> 28 [size =\"28408832\"]\n  3 [size=\"72040448\", alpha=\"0.15\", expect_size=\"36020224\"] \n  3 -> 18 [size =\"36020224\"]\n  3 -> 19 [size =\"36020224\"]\n  3 -> 22 [size =\"36020224\"]\n  3 -> 24 [size =\"36020224\"]\n  3 -> 25 [size =\"36020224\"]\n  3 -> 30 [size =\"36020224\"]\n  4 [size=\"30476288\", alpha=\"0.19\", expect_size=\"15238144\"] \n  4 -> 18 [size =\"15238144\"]\n  4 -> 19 [size =\"15238144\"]\n  4 -> 21 [size =\"15238144\"]\n  4 -> 24 [size =\"15238144\"]\n  4 -> 25 [size =\"15238144\"]\n  4 -> 26 [size =\"15238144\"]\n  5 [size=\"104581120\", alpha=\"0.16\", expect_size=\"52290560\"] \n  5 -> 18 [size =\"52290560\"]\n  5 -> 19 [size =\"52290560\"]\n  5 -> 20 [size =\"52290560\"]\n  5 -> 24 [size =\"52290560\"]\n  5 -> 26 [size =\"52290560\"]\n  5 -> 28 [size =\"52290560\"]\n  5 -> 30 [size =\"52290560\"]\n  6 [size=\"41115648\", alpha=\"0.07\", expect_size=\"20557824\"] \n  6 -> 18 [size =\"20557824\"]\n  6 -> 19 [size =\"20557824\"]\n  6 -> 23 [size =\"20557824\"]\n  6 -> 25 [size =\"20557824\"]\n  6 -> 27 [size =\"20557824\"]\n  7 [size=\"81979392\", alpha=\"0.08\", expect_size=\"40989696\"] \n  7 -> 19 [size =\"40989696\"]\n  7 -> 19 [size =\"40989696\"]\n  7 -> 21 [size =\"40989696\"]\n  7 -> 23 [size =\"40989696\"]\n  7 -> 24 [size =\"40989696\"]\n  7 -> 25 [size =\"40989696\"]\n  7 -> 26 [size =\"40989696\"]\n  7 -> 29 [size =\"40989696\"]\n  8 [size=\"79951872\", alpha=\"0.12\", expect_size=\"39975936\"] \n  8 -> 19 [size =\"39975936\"]\n  8 -> 20 [size =\"39975936\"]\n  9 [size=\"65148928\", alpha=\"0.10\", expect_size=\"32574464\"] \n  9 -> 19 [size =\"32574464\"]\n  9 -> 22 [size =\"32574464\"]\n  9 -> 24 [size =\"32574464\"]\n  9 -> 26 [size =\"32574464\"]\n  9 -> 28 [size =\"32574464\"]\n  10 [size=\"21817344\", alpha=\"0.15\", expect_size=\"10908672\"] \n  10 -> 18 [size =\"10908672\"]\n  10 -> 25 [size =\"10908672\"]\n  11 [size=\"13629440\", alpha=\"0.06\", expect_size=\"6814720\"] \n  11 -> 18 [size =\"6814720\"]\n  11 -> 23 [size =\"6814720\"]\n  11 -> 24 [size =\"6814720\"]\n  11 -> 28 [size =\"6814720\"]\n  11 -> 29 [size =\"6814720\"]\n  11 -> 30 [size =\"6814720\"]\n  12 [size=\"36325376\", alpha=\"0.16\", expect_size=\"18162688\"] \n  12 -> 18 [size =\"18162688\"]\n  12 -> 22 [size =\"18162688\"]\n  12 -> 23 [size =\"18162688\"]\n  12 -> 24 [size =\"18162688\"]\n  12 -> 26 [size =\"18162688\"]\n  12 -> 30 [size =\"18162688\"]\n  13 [size=\"20400128\", alpha=\"0.09\", expect_size=\"10200064\"] \n  13 -> 19 [size =\"10200064\"]\n  13 -> 22 [size =\"10200064\"]\n  13 -> 26 [size =\"10200064\"]\n  13 -> 29 [size =\"10200064\"]\n  14 [size=\"90054656\", alpha=\"0.20\", expect_size=\"45027328\"] \n  14 -> 26 [size =\"45027328\"]\n  14 -> 27 [size =\"45027328\"]\n  14 -> 30 [size =\"45027328\"]\n  15 [size=\"83986432\", alpha=\"0.10\", expect_size=\"41993216\"] \n  15 -> 18 [size =\"41993216\"]\n  15 -> 24 [size =\"41993216\"]\n  15 -> 28 [size =\"41993216\"]\n  16 [size=\"66043904\", alpha=\"0.10\", expect_size=\"33021952\"] \n  16 -> 25 [size =\"33021952\"]\n  16 -> 26 [size =\"33021952\"]\n  16 -> 28 [size =\"33021952\"]\n  16 -> 29 [size =\"33021952\"]\n  17 [size=\"97568768\", alpha=\"0.14\", expect_size=\"48784384\"] \n  17 -> 18 [size =\"48784384\"]\n  17 -> 23 [size =\"48784384\"]\n  17 -> 24 [size =\"48784384\"]\n  17 -> 26 [size =\"48784384\"]\n  17 -> 27 [size =\"48784384\"]\n  17 -> 29 [size =\"48784384\"]\n  17 -> 30 [size =\"48784384\"]\n  18 [size=\"42989568\", alpha=\"0.01\", expect_size=\"21494784\"] \n  19 [size=\"98125824\", alpha=\"0.19\", expect_size=\"49062912\"] \n  20 [size=\"52647936\", alpha=\"0.12\", expect_size=\"26323968\"] \n  21 [size=\"28160000\", alpha=\"0.02\", expect_size=\"14080000\"] \n  22 [size=\"54478848\", alpha=\"0.03\", expect_size=\"27239424\"] \n  23 [size=\"33636352\", alpha=\"0.16\", expect_size=\"16818176\"] \n  24 [size=\"78010368\", alpha=\"0.13\", expect_size=\"39005184\"] \n  25 [size=\"76218368\", alpha=\"0.11\", expect_size=\"38109184\"] \n  26 [size=\"27660288\", alpha=\"0.15\", expect_size=\"13830144\"] \n  27 [size=\"76550144\", alpha=\"0.14\", expect_size=\"38275072\"] \n  28 [size=\"49977344\", alpha=\"0.08\", expect_size=\"24988672\"] \n  29 [size=\"54689792\", alpha=\"0.13\", expect_size=\"27344896\"] \n  30 [size=\"49082368\", alpha=\"0.01\", expect_size=\"24541184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84056747\", alpha=\"0.07\", expect_size=\"25217024\"] \n  1 -> 8 [size =\"25217024\"]\n  1 -> 10 [size =\"25217024\"]\n  1 -> 11 [size =\"25217024\"]\n  2 [size=\"58354347\", alpha=\"0.16\", expect_size=\"17506304\"] \n  2 -> 8 [size =\"17506304\"]\n  2 -> 9 [size =\"17506304\"]\n  2 -> 10 [size =\"17506304\"]\n  2 -> 11 [size =\"17506304\"]\n  3 [size=\"102935893\", alpha=\"0.19\", expect_size=\"30880768\"] \n  3 -> 7 [size =\"30880768\"]\n  3 -> 8 [size =\"30880768\"]\n  3 -> 9 [size =\"30880768\"]\n  3 -> 10 [size =\"30880768\"]\n  4 [size=\"124231680\", alpha=\"0.09\", expect_size=\"37269504\"] \n  4 -> 9 [size =\"37269504\"]\n  4 -> 10 [size =\"37269504\"]\n  5 [size=\"122129067\", alpha=\"0.06\", expect_size=\"36638720\"] \n  5 -> 8 [size =\"36638720\"]\n  5 -> 9 [size =\"36638720\"]\n  5 -> 10 [size =\"36638720\"]\n  5 -> 11 [size =\"36638720\"]\n  6 [size=\"149186560\", alpha=\"0.06\", expect_size=\"44755968\"] \n  6 -> 8 [size =\"44755968\"]\n  6 -> 9 [size =\"44755968\"]\n  6 -> 11 [size =\"44755968\"]\n  7 [size=\"26289493\", alpha=\"0.16\", expect_size=\"7886848\"] \n  7 -> 13 [size =\"7886848\"]\n  7 -> 14 [size =\"7886848\"]\n  8 [size=\"130730667\", alpha=\"0.18\", expect_size=\"39219200\"] \n  8 -> 13 [size =\"39219200\"]\n  9 [size=\"121862827\", alpha=\"0.08\", expect_size=\"36558848\"] \n  9 -> 12 [size =\"36558848\"]\n  9 -> 13 [size =\"36558848\"]\n  9 -> 14 [size =\"36558848\"]\n  10 [size=\"150787413\", alpha=\"0.16\", expect_size=\"45236224\"] \n  10 -> 12 [size =\"45236224\"]\n  10 -> 15 [size =\"45236224\"]\n  11 [size=\"29460480\", alpha=\"0.12\", expect_size=\"8838144\"] \n  11 -> 12 [size =\"8838144\"]\n  11 -> 15 [size =\"8838144\"]\n  12 [size=\"87309653\", alpha=\"0.02\", expect_size=\"26192896\"] \n  12 -> 16 [size =\"26192896\"]\n  13 [size=\"59323733\", alpha=\"0.12\", expect_size=\"17797120\"] \n  13 -> 17 [size =\"17797120\"]\n  13 -> 19 [size =\"17797120\"]\n  14 [size=\"48896000\", alpha=\"0.09\", expect_size=\"14668800\"] \n  14 -> 17 [size =\"14668800\"]\n  14 -> 18 [size =\"14668800\"]\n  15 [size=\"116606293\", alpha=\"0.07\", expect_size=\"34981888\"] \n  15 -> 16 [size =\"34981888\"]\n  15 -> 17 [size =\"34981888\"]\n  16 [size=\"167239680\", alpha=\"0.17\", expect_size=\"50171904\"] \n  16 -> 23 [size =\"50171904\"]\n  16 -> 24 [size =\"50171904\"]\n  17 [size=\"57995947\", alpha=\"0.17\", expect_size=\"17398784\"] \n  17 -> 20 [size =\"17398784\"]\n  17 -> 22 [size =\"17398784\"]\n  17 -> 24 [size =\"17398784\"]\n  18 [size=\"26241707\", alpha=\"0.12\", expect_size=\"7872512\"] \n  18 -> 20 [size =\"7872512\"]\n  18 -> 22 [size =\"7872512\"]\n  18 -> 24 [size =\"7872512\"]\n  19 [size=\"167877973\", alpha=\"0.02\", expect_size=\"50363392\"] \n  19 -> 20 [size =\"50363392\"]\n  19 -> 21 [size =\"50363392\"]\n  19 -> 23 [size =\"50363392\"]\n  19 -> 24 [size =\"50363392\"]\n  20 [size=\"70263467\", alpha=\"0.04\", expect_size=\"21079040\"] \n  20 -> 27 [size =\"21079040\"]\n  20 -> 28 [size =\"21079040\"]\n  21 [size=\"40942933\", alpha=\"0.14\", expect_size=\"12282880\"] \n  22 [size=\"131925333\", alpha=\"0.10\", expect_size=\"39577600\"] \n  22 -> 28 [size =\"39577600\"]\n  23 [size=\"150104747\", alpha=\"0.16\", expect_size=\"45031424\"] \n  23 -> 25 [size =\"45031424\"]\n  23 -> 26 [size =\"45031424\"]\n  24 [size=\"86766933\", alpha=\"0.16\", expect_size=\"26030080\"] \n  24 -> 25 [size =\"26030080\"]\n  25 [size=\"157835947\", alpha=\"0.10\", expect_size=\"47350784\"] \n  25 -> 30 [size =\"47350784\"]\n  26 [size=\"56470187\", alpha=\"0.20\", expect_size=\"16941056\"] \n  26 -> 29 [size =\"16941056\"]\n  27 [size=\"30576640\", alpha=\"0.11\", expect_size=\"9172992\"] \n  28 [size=\"162051413\", alpha=\"0.17\", expect_size=\"48615424\"] \n  28 -> 30 [size =\"48615424\"]\n  29 [size=\"96911360\", alpha=\"0.16\", expect_size=\"29073408\"] \n  30 [size=\"108871680\", alpha=\"0.12\", expect_size=\"32661504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98133333\", alpha=\"0.01\", expect_size=\"29440000\"] \n  1 -> 4 [size =\"29440000\"]\n  1 -> 5 [size =\"29440000\"]\n  1 -> 6 [size =\"29440000\"]\n  2 [size=\"61211307\", alpha=\"0.12\", expect_size=\"18363392\"] \n  2 -> 5 [size =\"18363392\"]\n  2 -> 6 [size =\"18363392\"]\n  2 -> 7 [size =\"18363392\"]\n  2 -> 8 [size =\"18363392\"]\n  3 [size=\"40410453\", alpha=\"0.07\", expect_size=\"12123136\"] \n  3 -> 5 [size =\"12123136\"]\n  3 -> 6 [size =\"12123136\"]\n  3 -> 8 [size =\"12123136\"]\n  4 [size=\"102495573\", alpha=\"0.06\", expect_size=\"30748672\"] \n  4 -> 11 [size =\"30748672\"]\n  5 [size=\"172741973\", alpha=\"0.19\", expect_size=\"51822592\"] \n  5 -> 9 [size =\"51822592\"]\n  6 [size=\"55313067\", alpha=\"0.15\", expect_size=\"16593920\"] \n  6 -> 10 [size =\"16593920\"]\n  7 [size=\"97914880\", alpha=\"0.04\", expect_size=\"29374464\"] \n  7 -> 10 [size =\"29374464\"]\n  8 [size=\"80541013\", alpha=\"0.03\", expect_size=\"24162304\"] \n  8 -> 9 [size =\"24162304\"]\n  8 -> 11 [size =\"24162304\"]\n  9 [size=\"105574400\", alpha=\"0.04\", expect_size=\"31672320\"] \n  9 -> 12 [size =\"31672320\"]\n  9 -> 13 [size =\"31672320\"]\n  9 -> 15 [size =\"31672320\"]\n  10 [size=\"156320427\", alpha=\"0.12\", expect_size=\"46896128\"] \n  10 -> 12 [size =\"46896128\"]\n  10 -> 14 [size =\"46896128\"]\n  10 -> 15 [size =\"46896128\"]\n  11 [size=\"148278613\", alpha=\"0.19\", expect_size=\"44483584\"] \n  11 -> 12 [size =\"44483584\"]\n  11 -> 13 [size =\"44483584\"]\n  11 -> 15 [size =\"44483584\"]\n  12 [size=\"153784320\", alpha=\"0.16\", expect_size=\"46135296\"] \n  12 -> 17 [size =\"46135296\"]\n  12 -> 18 [size =\"46135296\"]\n  12 -> 19 [size =\"46135296\"]\n  12 -> 20 [size =\"46135296\"]\n  12 -> 21 [size =\"46135296\"]\n  13 [size=\"94354773\", alpha=\"0.16\", expect_size=\"28306432\"] \n  13 -> 18 [size =\"28306432\"]\n  13 -> 21 [size =\"28306432\"]\n  14 [size=\"149405013\", alpha=\"0.13\", expect_size=\"44821504\"] \n  14 -> 17 [size =\"44821504\"]\n  14 -> 20 [size =\"44821504\"]\n  14 -> 21 [size =\"44821504\"]\n  15 [size=\"41434453\", alpha=\"0.14\", expect_size=\"12430336\"] \n  15 -> 16 [size =\"12430336\"]\n  15 -> 18 [size =\"12430336\"]\n  15 -> 19 [size =\"12430336\"]\n  15 -> 20 [size =\"12430336\"]\n  15 -> 21 [size =\"12430336\"]\n  16 [size=\"29880320\", alpha=\"0.19\", expect_size=\"8964096\"] \n  16 -> 22 [size =\"8964096\"]\n  16 -> 23 [size =\"8964096\"]\n  16 -> 24 [size =\"8964096\"]\n  17 [size=\"149452800\", alpha=\"0.07\", expect_size=\"44835840\"] \n  17 -> 22 [size =\"44835840\"]\n  17 -> 24 [size =\"44835840\"]\n  17 -> 24 [size =\"44835840\"]\n  17 -> 25 [size =\"44835840\"]\n  18 [size=\"21121707\", alpha=\"0.05\", expect_size=\"6336512\"] \n  18 -> 22 [size =\"6336512\"]\n  19 [size=\"41072640\", alpha=\"0.13\", expect_size=\"12321792\"] \n  19 -> 22 [size =\"12321792\"]\n  19 -> 23 [size =\"12321792\"]\n  19 -> 25 [size =\"12321792\"]\n  20 [size=\"74134187\", alpha=\"0.02\", expect_size=\"22240256\"] \n  20 -> 22 [size =\"22240256\"]\n  21 [size=\"166178133\", alpha=\"0.00\", expect_size=\"49853440\"] \n  21 -> 22 [size =\"49853440\"]\n  22 [size=\"159904427\", alpha=\"0.05\", expect_size=\"47971328\"] \n  22 -> 26 [size =\"47971328\"]\n  22 -> 27 [size =\"47971328\"]\n  22 -> 29 [size =\"47971328\"]\n  23 [size=\"131611307\", alpha=\"0.12\", expect_size=\"39483392\"] \n  23 -> 26 [size =\"39483392\"]\n  23 -> 29 [size =\"39483392\"]\n  24 [size=\"97652053\", alpha=\"0.10\", expect_size=\"29295616\"] \n  24 -> 26 [size =\"29295616\"]\n  24 -> 27 [size =\"29295616\"]\n  24 -> 28 [size =\"29295616\"]\n  24 -> 30 [size =\"29295616\"]\n  25 [size=\"45134507\", alpha=\"0.07\", expect_size=\"13540352\"] \n  25 -> 26 [size =\"13540352\"]\n  25 -> 27 [size =\"13540352\"]\n  25 -> 28 [size =\"13540352\"]\n  26 [size=\"157351253\", alpha=\"0.10\", expect_size=\"47205376\"] \n  27 [size=\"147029333\", alpha=\"0.03\", expect_size=\"44108800\"] \n  28 [size=\"45291520\", alpha=\"0.03\", expect_size=\"13587456\"] \n  29 [size=\"81367040\", alpha=\"0.15\", expect_size=\"24410112\"] \n  30 [size=\"29726720\", alpha=\"0.05\", expect_size=\"8918016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57103360\", alpha=\"0.18\", expect_size=\"22841344\"] \n  1 -> 2 [size =\"22841344\"]\n  2 [size=\"79557120\", alpha=\"0.15\", expect_size=\"31822848\"] \n  2 -> 3 [size =\"31822848\"]\n  3 [size=\"58147840\", alpha=\"0.17\", expect_size=\"23259136\"] \n  3 -> 4 [size =\"23259136\"]\n  4 [size=\"115712000\", alpha=\"0.13\", expect_size=\"46284800\"] \n  4 -> 5 [size =\"46284800\"]\n  5 [size=\"78679040\", alpha=\"0.08\", expect_size=\"31471616\"] \n  5 -> 6 [size =\"31471616\"]\n  6 [size=\"13767680\", alpha=\"0.16\", expect_size=\"5507072\"] \n  6 -> 7 [size =\"5507072\"]\n  7 [size=\"121525760\", alpha=\"0.03\", expect_size=\"48610304\"] \n  7 -> 8 [size =\"48610304\"]\n  8 [size=\"26616320\", alpha=\"0.16\", expect_size=\"10646528\"] \n  8 -> 9 [size =\"10646528\"]\n  9 [size=\"81720320\", alpha=\"0.05\", expect_size=\"32688128\"] \n  9 -> 10 [size =\"32688128\"]\n  10 [size=\"63206400\", alpha=\"0.07\", expect_size=\"25282560\"] \n  10 -> 11 [size =\"25282560\"]\n  11 [size=\"123330560\", alpha=\"0.07\", expect_size=\"49332224\"] \n  11 -> 12 [size =\"49332224\"]\n  12 [size=\"111923200\", alpha=\"0.16\", expect_size=\"44769280\"] \n  12 -> 13 [size =\"44769280\"]\n  13 [size=\"82513920\", alpha=\"0.08\", expect_size=\"33005568\"] \n  13 -> 14 [size =\"33005568\"]\n  14 [size=\"65520640\", alpha=\"0.05\", expect_size=\"26208256\"] \n  14 -> 15 [size =\"26208256\"]\n  15 [size=\"24954880\", alpha=\"0.10\", expect_size=\"9981952\"] \n  15 -> 16 [size =\"9981952\"]\n  16 [size=\"73269760\", alpha=\"0.01\", expect_size=\"29307904\"] \n  16 -> 17 [size =\"29307904\"]\n  17 [size=\"51873280\", alpha=\"0.06\", expect_size=\"20749312\"] \n  17 -> 18 [size =\"20749312\"]\n  18 [size=\"67944960\", alpha=\"0.12\", expect_size=\"27177984\"] \n  18 -> 19 [size =\"27177984\"]\n  19 [size=\"43299840\", alpha=\"0.02\", expect_size=\"17319936\"] \n  19 -> 20 [size =\"17319936\"]\n  20 [size=\"75381760\", alpha=\"0.04\", expect_size=\"30152704\"] \n  20 -> 21 [size =\"30152704\"]\n  21 [size=\"119206400\", alpha=\"0.14\", expect_size=\"47682560\"] \n  21 -> 22 [size =\"47682560\"]\n  22 [size=\"42544640\", alpha=\"0.15\", expect_size=\"17017856\"] \n  22 -> 23 [size =\"17017856\"]\n  23 [size=\"18403840\", alpha=\"0.03\", expect_size=\"7361536\"] \n  23 -> 24 [size =\"7361536\"]\n  24 [size=\"67468800\", alpha=\"0.09\", expect_size=\"26987520\"] \n  24 -> 25 [size =\"26987520\"]\n  25 [size=\"96494080\", alpha=\"0.06\", expect_size=\"38597632\"] \n  25 -> 26 [size =\"38597632\"]\n  26 [size=\"38346240\", alpha=\"0.03\", expect_size=\"15338496\"] \n  26 -> 27 [size =\"15338496\"]\n  27 [size=\"43586560\", alpha=\"0.19\", expect_size=\"17434624\"] \n  27 -> 28 [size =\"17434624\"]\n  28 [size=\"77798400\", alpha=\"0.17\", expect_size=\"31119360\"] \n  28 -> 29 [size =\"31119360\"]\n  29 [size=\"28272640\", alpha=\"0.06\", expect_size=\"11309056\"] \n  29 -> 30 [size =\"11309056\"]\n  30 [size=\"40143360\", alpha=\"0.04\", expect_size=\"16057344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142291627\", alpha=\"0.04\", expect_size=\"42687488\"] \n  1 -> 24 [size =\"42687488\"]\n  1 -> 27 [size =\"42687488\"]\n  1 -> 30 [size =\"42687488\"]\n  2 [size=\"58026667\", alpha=\"0.14\", expect_size=\"17408000\"] \n  2 -> 21 [size =\"17408000\"]\n  2 -> 22 [size =\"17408000\"]\n  2 -> 24 [size =\"17408000\"]\n  2 -> 26 [size =\"17408000\"]\n  2 -> 28 [size =\"17408000\"]\n  2 -> 30 [size =\"17408000\"]\n  3 [size=\"32617813\", alpha=\"0.06\", expect_size=\"9785344\"] \n  3 -> 22 [size =\"9785344\"]\n  3 -> 27 [size =\"9785344\"]\n  4 [size=\"18544640\", alpha=\"0.07\", expect_size=\"5563392\"] \n  4 -> 24 [size =\"5563392\"]\n  4 -> 27 [size =\"5563392\"]\n  4 -> 30 [size =\"5563392\"]\n  5 [size=\"85012480\", alpha=\"0.05\", expect_size=\"25503744\"] \n  5 -> 20 [size =\"25503744\"]\n  5 -> 24 [size =\"25503744\"]\n  5 -> 25 [size =\"25503744\"]\n  5 -> 26 [size =\"25503744\"]\n  5 -> 27 [size =\"25503744\"]\n  5 -> 30 [size =\"25503744\"]\n  6 [size=\"164976640\", alpha=\"0.13\", expect_size=\"49492992\"] \n  6 -> 22 [size =\"49492992\"]\n  6 -> 23 [size =\"49492992\"]\n  6 -> 24 [size =\"49492992\"]\n  6 -> 25 [size =\"49492992\"]\n  6 -> 27 [size =\"49492992\"]\n  7 [size=\"70181547\", alpha=\"0.11\", expect_size=\"21054464\"] \n  7 -> 22 [size =\"21054464\"]\n  7 -> 24 [size =\"21054464\"]\n  7 -> 26 [size =\"21054464\"]\n  7 -> 30 [size =\"21054464\"]\n  8 [size=\"49431893\", alpha=\"0.08\", expect_size=\"14829568\"] \n  8 -> 24 [size =\"14829568\"]\n  8 -> 26 [size =\"14829568\"]\n  9 [size=\"57572693\", alpha=\"0.05\", expect_size=\"17271808\"] \n  9 -> 26 [size =\"17271808\"]\n  9 -> 26 [size =\"17271808\"]\n  9 -> 27 [size =\"17271808\"]\n  10 [size=\"37577387\", alpha=\"0.07\", expect_size=\"11273216\"] \n  10 -> 24 [size =\"11273216\"]\n  10 -> 26 [size =\"11273216\"]\n  10 -> 27 [size =\"11273216\"]\n  10 -> 30 [size =\"11273216\"]\n  11 [size=\"71755093\", alpha=\"0.19\", expect_size=\"21526528\"] \n  11 -> 24 [size =\"21526528\"]\n  11 -> 26 [size =\"21526528\"]\n  11 -> 27 [size =\"21526528\"]\n  11 -> 30 [size =\"21526528\"]\n  12 [size=\"105144320\", alpha=\"0.17\", expect_size=\"31543296\"] \n  12 -> 27 [size =\"31543296\"]\n  12 -> 30 [size =\"31543296\"]\n  13 [size=\"56582827\", alpha=\"0.14\", expect_size=\"16974848\"] \n  13 -> 21 [size =\"16974848\"]\n  13 -> 22 [size =\"16974848\"]\n  13 -> 23 [size =\"16974848\"]\n  13 -> 24 [size =\"16974848\"]\n  14 [size=\"105960107\", alpha=\"0.19\", expect_size=\"31788032\"] \n  14 -> 20 [size =\"31788032\"]\n  14 -> 21 [size =\"31788032\"]\n  14 -> 23 [size =\"31788032\"]\n  14 -> 25 [size =\"31788032\"]\n  14 -> 30 [size =\"31788032\"]\n  15 [size=\"161088853\", alpha=\"0.13\", expect_size=\"48326656\"] \n  15 -> 20 [size =\"48326656\"]\n  15 -> 23 [size =\"48326656\"]\n  15 -> 29 [size =\"48326656\"]\n  15 -> 30 [size =\"48326656\"]\n  16 [size=\"45346133\", alpha=\"0.14\", expect_size=\"13603840\"] \n  16 -> 20 [size =\"13603840\"]\n  16 -> 25 [size =\"13603840\"]\n  16 -> 26 [size =\"13603840\"]\n  16 -> 27 [size =\"13603840\"]\n  16 -> 29 [size =\"13603840\"]\n  16 -> 30 [size =\"13603840\"]\n  17 [size=\"144626347\", alpha=\"0.07\", expect_size=\"43387904\"] \n  17 -> 24 [size =\"43387904\"]\n  17 -> 25 [size =\"43387904\"]\n  17 -> 26 [size =\"43387904\"]\n  17 -> 27 [size =\"43387904\"]\n  17 -> 28 [size =\"43387904\"]\n  17 -> 29 [size =\"43387904\"]\n  17 -> 30 [size =\"43387904\"]\n  18 [size=\"73523200\", alpha=\"0.01\", expect_size=\"22056960\"] \n  18 -> 22 [size =\"22056960\"]\n  18 -> 24 [size =\"22056960\"]\n  18 -> 26 [size =\"22056960\"]\n  18 -> 27 [size =\"22056960\"]\n  18 -> 28 [size =\"22056960\"]\n  18 -> 29 [size =\"22056960\"]\n  18 -> 30 [size =\"22056960\"]\n  19 [size=\"140236800\", alpha=\"0.10\", expect_size=\"42071040\"] \n  19 -> 23 [size =\"42071040\"]\n  19 -> 24 [size =\"42071040\"]\n  19 -> 26 [size =\"42071040\"]\n  19 -> 27 [size =\"42071040\"]\n  20 [size=\"24760320\", alpha=\"0.02\", expect_size=\"7428096\"] \n  21 [size=\"81001813\", alpha=\"0.10\", expect_size=\"24300544\"] \n  22 [size=\"74642773\", alpha=\"0.02\", expect_size=\"22392832\"] \n  23 [size=\"51258027\", alpha=\"0.17\", expect_size=\"15377408\"] \n  24 [size=\"165092693\", alpha=\"0.12\", expect_size=\"49527808\"] \n  25 [size=\"157184000\", alpha=\"0.15\", expect_size=\"47155200\"] \n  26 [size=\"100041387\", alpha=\"0.18\", expect_size=\"30012416\"] \n  27 [size=\"56261973\", alpha=\"0.07\", expect_size=\"16878592\"] \n  28 [size=\"113448960\", alpha=\"0.20\", expect_size=\"34034688\"] \n  29 [size=\"119845547\", alpha=\"0.18\", expect_size=\"35953664\"] \n  30 [size=\"42007893\", alpha=\"0.18\", expect_size=\"12602368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169287680\", alpha=\"0.09\", expect_size=\"50786304\"] \n  1 -> 2 [size =\"50786304\"]\n  2 [size=\"84746240\", alpha=\"0.07\", expect_size=\"25423872\"] \n  2 -> 3 [size =\"25423872\"]\n  3 [size=\"120183467\", alpha=\"0.09\", expect_size=\"36055040\"] \n  3 -> 4 [size =\"36055040\"]\n  3 -> 5 [size =\"36055040\"]\n  4 [size=\"53579093\", alpha=\"0.15\", expect_size=\"16073728\"] \n  4 -> 6 [size =\"16073728\"]\n  4 -> 7 [size =\"16073728\"]\n  5 [size=\"59572907\", alpha=\"0.09\", expect_size=\"17871872\"] \n  5 -> 6 [size =\"17871872\"]\n  5 -> 7 [size =\"17871872\"]\n  6 [size=\"149855573\", alpha=\"0.02\", expect_size=\"44956672\"] \n  6 -> 8 [size =\"44956672\"]\n  7 [size=\"35631787\", alpha=\"0.12\", expect_size=\"10689536\"] \n  7 -> 8 [size =\"10689536\"]\n  7 -> 9 [size =\"10689536\"]\n  8 [size=\"86589440\", alpha=\"0.13\", expect_size=\"25976832\"] \n  8 -> 10 [size =\"25976832\"]\n  8 -> 11 [size =\"25976832\"]\n  9 [size=\"77714773\", alpha=\"0.05\", expect_size=\"23314432\"] \n  9 -> 10 [size =\"23314432\"]\n  10 [size=\"174448640\", alpha=\"0.14\", expect_size=\"52334592\"] \n  10 -> 12 [size =\"52334592\"]\n  11 [size=\"165079040\", alpha=\"0.19\", expect_size=\"49523712\"] \n  11 -> 12 [size =\"49523712\"]\n  12 [size=\"76472320\", alpha=\"0.11\", expect_size=\"22941696\"] \n  12 -> 13 [size =\"22941696\"]\n  12 -> 14 [size =\"22941696\"]\n  13 [size=\"133556907\", alpha=\"0.18\", expect_size=\"40067072\"] \n  13 -> 15 [size =\"40067072\"]\n  13 -> 16 [size =\"40067072\"]\n  14 [size=\"43537067\", alpha=\"0.14\", expect_size=\"13061120\"] \n  14 -> 15 [size =\"13061120\"]\n  14 -> 16 [size =\"13061120\"]\n  15 [size=\"158696107\", alpha=\"0.18\", expect_size=\"47608832\"] \n  15 -> 17 [size =\"47608832\"]\n  16 [size=\"75284480\", alpha=\"0.15\", expect_size=\"22585344\"] \n  17 [size=\"87548587\", alpha=\"0.07\", expect_size=\"26264576\"] \n  17 -> 18 [size =\"26264576\"]\n  18 [size=\"26719573\", alpha=\"0.05\", expect_size=\"8015872\"] \n  18 -> 19 [size =\"8015872\"]\n  19 [size=\"126470827\", alpha=\"0.12\", expect_size=\"37941248\"] \n  19 -> 20 [size =\"37941248\"]\n  19 -> 21 [size =\"37941248\"]\n  20 [size=\"162877440\", alpha=\"0.17\", expect_size=\"48863232\"] \n  20 -> 22 [size =\"48863232\"]\n  21 [size=\"114469547\", alpha=\"0.02\", expect_size=\"34340864\"] \n  21 -> 22 [size =\"34340864\"]\n  22 [size=\"103475200\", alpha=\"0.15\", expect_size=\"31042560\"] \n  22 -> 23 [size =\"31042560\"]\n  22 -> 24 [size =\"31042560\"]\n  23 [size=\"32918187\", alpha=\"0.01\", expect_size=\"9875456\"] \n  24 [size=\"172745387\", alpha=\"0.12\", expect_size=\"51823616\"] \n  24 -> 25 [size =\"51823616\"]\n  24 -> 26 [size =\"51823616\"]\n  25 [size=\"123774293\", alpha=\"0.08\", expect_size=\"37132288\"] \n  25 -> 28 [size =\"37132288\"]\n  26 [size=\"105321813\", alpha=\"0.01\", expect_size=\"31596544\"] \n  26 -> 27 [size =\"31596544\"]\n  27 [size=\"69263360\", alpha=\"0.17\", expect_size=\"20779008\"] \n  28 [size=\"125784747\", alpha=\"0.01\", expect_size=\"37735424\"] \n  28 -> 29 [size =\"37735424\"]\n  29 [size=\"168325120\", alpha=\"0.13\", expect_size=\"50497536\"] \n  29 -> 30 [size =\"50497536\"]\n  30 [size=\"102935893\", alpha=\"0.04\", expect_size=\"30880768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38297600\", alpha=\"0.07\", expect_size=\"11489280\"] \n  1 -> 2 [size =\"11489280\"]\n  1 -> 3 [size =\"11489280\"]\n  2 [size=\"48380587\", alpha=\"0.17\", expect_size=\"14514176\"] \n  2 -> 4 [size =\"14514176\"]\n  3 [size=\"33819307\", alpha=\"0.13\", expect_size=\"10145792\"] \n  3 -> 4 [size =\"10145792\"]\n  4 [size=\"79496533\", alpha=\"0.14\", expect_size=\"23848960\"] \n  4 -> 5 [size =\"23848960\"]\n  5 [size=\"59214507\", alpha=\"0.01\", expect_size=\"17764352\"] \n  5 -> 6 [size =\"17764352\"]\n  5 -> 7 [size =\"17764352\"]\n  6 [size=\"51377493\", alpha=\"0.08\", expect_size=\"15413248\"] \n  6 -> 8 [size =\"15413248\"]\n  7 [size=\"31477760\", alpha=\"0.02\", expect_size=\"9443328\"] \n  7 -> 8 [size =\"9443328\"]\n  8 [size=\"165877760\", alpha=\"0.19\", expect_size=\"49763328\"] \n  8 -> 9 [size =\"49763328\"]\n  9 [size=\"96826027\", alpha=\"0.10\", expect_size=\"29047808\"] \n  9 -> 10 [size =\"29047808\"]\n  9 -> 11 [size =\"29047808\"]\n  10 [size=\"96020480\", alpha=\"0.17\", expect_size=\"28806144\"] \n  10 -> 12 [size =\"28806144\"]\n  11 [size=\"140711253\", alpha=\"0.05\", expect_size=\"42213376\"] \n  12 [size=\"41048747\", alpha=\"0.17\", expect_size=\"12314624\"] \n  12 -> 13 [size =\"12314624\"]\n  12 -> 14 [size =\"12314624\"]\n  13 [size=\"17541120\", alpha=\"0.02\", expect_size=\"5262336\"] \n  13 -> 15 [size =\"5262336\"]\n  13 -> 16 [size =\"5262336\"]\n  14 [size=\"119408640\", alpha=\"0.04\", expect_size=\"35822592\"] \n  14 -> 15 [size =\"35822592\"]\n  14 -> 16 [size =\"35822592\"]\n  15 [size=\"68433920\", alpha=\"0.05\", expect_size=\"20530176\"] \n  15 -> 17 [size =\"20530176\"]\n  16 [size=\"78209707\", alpha=\"0.10\", expect_size=\"23462912\"] \n  16 -> 17 [size =\"23462912\"]\n  17 [size=\"141554347\", alpha=\"0.01\", expect_size=\"42466304\"] \n  17 -> 18 [size =\"42466304\"]\n  17 -> 19 [size =\"42466304\"]\n  18 [size=\"160372053\", alpha=\"0.15\", expect_size=\"48111616\"] \n  19 [size=\"153763840\", alpha=\"0.17\", expect_size=\"46129152\"] \n  19 -> 20 [size =\"46129152\"]\n  19 -> 21 [size =\"46129152\"]\n  20 [size=\"73905493\", alpha=\"0.10\", expect_size=\"22171648\"] \n  21 [size=\"52019200\", alpha=\"0.05\", expect_size=\"15605760\"] \n  21 -> 22 [size =\"15605760\"]\n  22 [size=\"88630613\", alpha=\"0.04\", expect_size=\"26589184\"] \n  22 -> 23 [size =\"26589184\"]\n  22 -> 24 [size =\"26589184\"]\n  23 [size=\"64085333\", alpha=\"0.05\", expect_size=\"19225600\"] \n  23 -> 25 [size =\"19225600\"]\n  24 [size=\"81254400\", alpha=\"0.13\", expect_size=\"24376320\"] \n  24 -> 25 [size =\"24376320\"]\n  24 -> 26 [size =\"24376320\"]\n  25 [size=\"110274560\", alpha=\"0.08\", expect_size=\"33082368\"] \n  25 -> 28 [size =\"33082368\"]\n  26 [size=\"152395093\", alpha=\"0.06\", expect_size=\"45718528\"] \n  26 -> 27 [size =\"45718528\"]\n  27 [size=\"73195520\", alpha=\"0.06\", expect_size=\"21958656\"] \n  27 -> 29 [size =\"21958656\"]\n  28 [size=\"80786773\", alpha=\"0.05\", expect_size=\"24236032\"] \n  28 -> 29 [size =\"24236032\"]\n  29 [size=\"43031893\", alpha=\"0.15\", expect_size=\"12909568\"] \n  29 -> 30 [size =\"12909568\"]\n  30 [size=\"23162880\", alpha=\"0.14\", expect_size=\"6948864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48773120\", alpha=\"0.04\", expect_size=\"19509248\"] \n  1 -> 2 [size =\"19509248\"]\n  2 [size=\"121131520\", alpha=\"0.01\", expect_size=\"48452608\"] \n  2 -> 3 [size =\"48452608\"]\n  3 [size=\"72468480\", alpha=\"0.10\", expect_size=\"28987392\"] \n  3 -> 4 [size =\"28987392\"]\n  4 [size=\"123760640\", alpha=\"0.08\", expect_size=\"49504256\"] \n  4 -> 5 [size =\"49504256\"]\n  5 [size=\"62978560\", alpha=\"0.01\", expect_size=\"25191424\"] \n  5 -> 6 [size =\"25191424\"]\n  6 [size=\"49605120\", alpha=\"0.08\", expect_size=\"19842048\"] \n  6 -> 7 [size =\"19842048\"]\n  7 [size=\"53401600\", alpha=\"0.20\", expect_size=\"21360640\"] \n  7 -> 8 [size =\"21360640\"]\n  8 [size=\"86351360\", alpha=\"0.15\", expect_size=\"34540544\"] \n  8 -> 9 [size =\"34540544\"]\n  9 [size=\"20444160\", alpha=\"0.11\", expect_size=\"8177664\"] \n  9 -> 10 [size =\"8177664\"]\n  10 [size=\"82531840\", alpha=\"0.08\", expect_size=\"33012736\"] \n  10 -> 11 [size =\"33012736\"]\n  11 [size=\"85491200\", alpha=\"0.19\", expect_size=\"34196480\"] \n  11 -> 12 [size =\"34196480\"]\n  12 [size=\"111718400\", alpha=\"0.11\", expect_size=\"44687360\"] \n  12 -> 13 [size =\"44687360\"]\n  13 [size=\"116474880\", alpha=\"0.04\", expect_size=\"46589952\"] \n  13 -> 14 [size =\"46589952\"]\n  14 [size=\"57876480\", alpha=\"0.05\", expect_size=\"23150592\"] \n  14 -> 15 [size =\"23150592\"]\n  15 [size=\"102182400\", alpha=\"0.08\", expect_size=\"40872960\"] \n  15 -> 16 [size =\"40872960\"]\n  16 [size=\"106711040\", alpha=\"0.00\", expect_size=\"42684416\"] \n  16 -> 17 [size =\"42684416\"]\n  17 [size=\"35217920\", alpha=\"0.18\", expect_size=\"14087168\"] \n  17 -> 18 [size =\"14087168\"]\n  18 [size=\"35002880\", alpha=\"0.15\", expect_size=\"14001152\"] \n  18 -> 19 [size =\"14001152\"]\n  19 [size=\"125288960\", alpha=\"0.03\", expect_size=\"50115584\"] \n  19 -> 20 [size =\"50115584\"]\n  20 [size=\"74347520\", alpha=\"0.04\", expect_size=\"29739008\"] \n  20 -> 21 [size =\"29739008\"]\n  21 [size=\"120660480\", alpha=\"0.12\", expect_size=\"48264192\"] \n  21 -> 22 [size =\"48264192\"]\n  22 [size=\"115916800\", alpha=\"0.17\", expect_size=\"46366720\"] \n  22 -> 23 [size =\"46366720\"]\n  23 [size=\"62922240\", alpha=\"0.13\", expect_size=\"25168896\"] \n  23 -> 24 [size =\"25168896\"]\n  24 [size=\"86666240\", alpha=\"0.07\", expect_size=\"34666496\"] \n  24 -> 25 [size =\"34666496\"]\n  25 [size=\"114332160\", alpha=\"0.10\", expect_size=\"45732864\"] \n  25 -> 26 [size =\"45732864\"]\n  26 [size=\"44124160\", alpha=\"0.19\", expect_size=\"17649664\"] \n  26 -> 27 [size =\"17649664\"]\n  27 [size=\"46993920\", alpha=\"0.15\", expect_size=\"18797568\"] \n  27 -> 28 [size =\"18797568\"]\n  28 [size=\"34516480\", alpha=\"0.03\", expect_size=\"13806592\"] \n  28 -> 29 [size =\"13806592\"]\n  29 [size=\"121766400\", alpha=\"0.13\", expect_size=\"48706560\"] \n  29 -> 30 [size =\"48706560\"]\n  30 [size=\"21537280\", alpha=\"0.14\", expect_size=\"8614912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118192640\", alpha=\"0.16\", expect_size=\"47277056\"] \n  1 -> 19 [size =\"47277056\"]\n  1 -> 21 [size =\"47277056\"]\n  1 -> 24 [size =\"47277056\"]\n  1 -> 26 [size =\"47277056\"]\n  1 -> 27 [size =\"47277056\"]\n  1 -> 28 [size =\"47277056\"]\n  1 -> 29 [size =\"47277056\"]\n  2 [size=\"19650560\", alpha=\"0.05\", expect_size=\"7860224\"] \n  2 -> 18 [size =\"7860224\"]\n  2 -> 19 [size =\"7860224\"]\n  2 -> 20 [size =\"7860224\"]\n  2 -> 21 [size =\"7860224\"]\n  2 -> 25 [size =\"7860224\"]\n  2 -> 26 [size =\"7860224\"]\n  2 -> 27 [size =\"7860224\"]\n  2 -> 28 [size =\"7860224\"]\n  2 -> 29 [size =\"7860224\"]\n  3 [size=\"24683520\", alpha=\"0.14\", expect_size=\"9873408\"] \n  3 -> 19 [size =\"9873408\"]\n  3 -> 23 [size =\"9873408\"]\n  3 -> 26 [size =\"9873408\"]\n  3 -> 27 [size =\"9873408\"]\n  3 -> 28 [size =\"9873408\"]\n  4 [size=\"73809920\", alpha=\"0.03\", expect_size=\"29523968\"] \n  4 -> 23 [size =\"29523968\"]\n  4 -> 26 [size =\"29523968\"]\n  4 -> 26 [size =\"29523968\"]\n  4 -> 27 [size =\"29523968\"]\n  4 -> 29 [size =\"29523968\"]\n  5 [size=\"57518080\", alpha=\"0.11\", expect_size=\"23007232\"] \n  5 -> 23 [size =\"23007232\"]\n  5 -> 24 [size =\"23007232\"]\n  5 -> 26 [size =\"23007232\"]\n  5 -> 29 [size =\"23007232\"]\n  5 -> 30 [size =\"23007232\"]\n  6 [size=\"114506240\", alpha=\"0.04\", expect_size=\"45802496\"] \n  6 -> 18 [size =\"45802496\"]\n  6 -> 21 [size =\"45802496\"]\n  6 -> 24 [size =\"45802496\"]\n  6 -> 26 [size =\"45802496\"]\n  6 -> 28 [size =\"45802496\"]\n  6 -> 29 [size =\"45802496\"]\n  7 [size=\"30080000\", alpha=\"0.02\", expect_size=\"12032000\"] \n  7 -> 18 [size =\"12032000\"]\n  7 -> 19 [size =\"12032000\"]\n  7 -> 20 [size =\"12032000\"]\n  7 -> 21 [size =\"12032000\"]\n  7 -> 22 [size =\"12032000\"]\n  7 -> 23 [size =\"12032000\"]\n  7 -> 24 [size =\"12032000\"]\n  7 -> 26 [size =\"12032000\"]\n  7 -> 28 [size =\"12032000\"]\n  7 -> 29 [size =\"12032000\"]\n  8 [size=\"99601920\", alpha=\"0.08\", expect_size=\"39840768\"] \n  8 -> 18 [size =\"39840768\"]\n  8 -> 19 [size =\"39840768\"]\n  8 -> 21 [size =\"39840768\"]\n  8 -> 23 [size =\"39840768\"]\n  8 -> 27 [size =\"39840768\"]\n  8 -> 28 [size =\"39840768\"]\n  8 -> 29 [size =\"39840768\"]\n  9 [size=\"33308160\", alpha=\"0.06\", expect_size=\"13323264\"] \n  9 -> 18 [size =\"13323264\"]\n  9 -> 20 [size =\"13323264\"]\n  9 -> 23 [size =\"13323264\"]\n  9 -> 23 [size =\"13323264\"]\n  9 -> 24 [size =\"13323264\"]\n  9 -> 27 [size =\"13323264\"]\n  9 -> 29 [size =\"13323264\"]\n  9 -> 30 [size =\"13323264\"]\n  10 [size=\"87851520\", alpha=\"0.11\", expect_size=\"35140608\"] \n  10 -> 21 [size =\"35140608\"]\n  10 -> 22 [size =\"35140608\"]\n  10 -> 23 [size =\"35140608\"]\n  10 -> 26 [size =\"35140608\"]\n  10 -> 27 [size =\"35140608\"]\n  10 -> 29 [size =\"35140608\"]\n  10 -> 29 [size =\"35140608\"]\n  11 [size=\"21140480\", alpha=\"0.09\", expect_size=\"8456192\"] \n  11 -> 18 [size =\"8456192\"]\n  11 -> 19 [size =\"8456192\"]\n  11 -> 21 [size =\"8456192\"]\n  11 -> 23 [size =\"8456192\"]\n  11 -> 24 [size =\"8456192\"]\n  11 -> 25 [size =\"8456192\"]\n  11 -> 26 [size =\"8456192\"]\n  11 -> 27 [size =\"8456192\"]\n  11 -> 29 [size =\"8456192\"]\n  12 [size=\"112834560\", alpha=\"0.16\", expect_size=\"45133824\"] \n  12 -> 18 [size =\"45133824\"]\n  12 -> 21 [size =\"45133824\"]\n  12 -> 23 [size =\"45133824\"]\n  12 -> 23 [size =\"45133824\"]\n  12 -> 24 [size =\"45133824\"]\n  12 -> 25 [size =\"45133824\"]\n  12 -> 26 [size =\"45133824\"]\n  12 -> 28 [size =\"45133824\"]\n  13 [size=\"25612800\", alpha=\"0.17\", expect_size=\"10245120\"] \n  13 -> 18 [size =\"10245120\"]\n  13 -> 20 [size =\"10245120\"]\n  13 -> 21 [size =\"10245120\"]\n  13 -> 22 [size =\"10245120\"]\n  13 -> 26 [size =\"10245120\"]\n  13 -> 27 [size =\"10245120\"]\n  13 -> 29 [size =\"10245120\"]\n  14 [size=\"109680640\", alpha=\"0.18\", expect_size=\"43872256\"] \n  14 -> 18 [size =\"43872256\"]\n  14 -> 22 [size =\"43872256\"]\n  14 -> 24 [size =\"43872256\"]\n  14 -> 27 [size =\"43872256\"]\n  14 -> 28 [size =\"43872256\"]\n  15 [size=\"127170560\", alpha=\"0.06\", expect_size=\"50868224\"] \n  15 -> 18 [size =\"50868224\"]\n  15 -> 19 [size =\"50868224\"]\n  15 -> 20 [size =\"50868224\"]\n  15 -> 21 [size =\"50868224\"]\n  15 -> 22 [size =\"50868224\"]\n  15 -> 24 [size =\"50868224\"]\n  15 -> 25 [size =\"50868224\"]\n  15 -> 26 [size =\"50868224\"]\n  15 -> 27 [size =\"50868224\"]\n  15 -> 28 [size =\"50868224\"]\n  16 [size=\"73272320\", alpha=\"0.16\", expect_size=\"29308928\"] \n  16 -> 25 [size =\"29308928\"]\n  16 -> 26 [size =\"29308928\"]\n  16 -> 27 [size =\"29308928\"]\n  16 -> 28 [size =\"29308928\"]\n  16 -> 29 [size =\"29308928\"]\n  17 [size=\"95697920\", alpha=\"0.14\", expect_size=\"38279168\"] \n  17 -> 18 [size =\"38279168\"]\n  17 -> 19 [size =\"38279168\"]\n  17 -> 20 [size =\"38279168\"]\n  17 -> 21 [size =\"38279168\"]\n  17 -> 23 [size =\"38279168\"]\n  17 -> 24 [size =\"38279168\"]\n  17 -> 26 [size =\"38279168\"]\n  17 -> 27 [size =\"38279168\"]\n  17 -> 28 [size =\"38279168\"]\n  17 -> 29 [size =\"38279168\"]\n  18 [size=\"105528320\", alpha=\"0.03\", expect_size=\"42211328\"] \n  19 [size=\"31874560\", alpha=\"0.05\", expect_size=\"12749824\"] \n  20 [size=\"67200000\", alpha=\"0.01\", expect_size=\"26880000\"] \n  21 [size=\"130019840\", alpha=\"0.14\", expect_size=\"52007936\"] \n  22 [size=\"64089600\", alpha=\"0.09\", expect_size=\"25635840\"] \n  23 [size=\"38904320\", alpha=\"0.05\", expect_size=\"15561728\"] \n  24 [size=\"22010880\", alpha=\"0.12\", expect_size=\"8804352\"] \n  25 [size=\"127475200\", alpha=\"0.06\", expect_size=\"50990080\"] \n  26 [size=\"47741440\", alpha=\"0.18\", expect_size=\"19096576\"] \n  27 [size=\"23772160\", alpha=\"0.12\", expect_size=\"9508864\"] \n  28 [size=\"107310080\", alpha=\"0.01\", expect_size=\"42924032\"] \n  29 [size=\"125040640\", alpha=\"0.14\", expect_size=\"50016256\"] \n  30 [size=\"38853120\", alpha=\"0.19\", expect_size=\"15541248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38922240\", alpha=\"0.04\", expect_size=\"15568896\"] \n  1 -> 23 [size =\"15568896\"]\n  1 -> 24 [size =\"15568896\"]\n  1 -> 25 [size =\"15568896\"]\n  1 -> 27 [size =\"15568896\"]\n  2 [size=\"75527680\", alpha=\"0.11\", expect_size=\"30211072\"] \n  2 -> 24 [size =\"30211072\"]\n  2 -> 25 [size =\"30211072\"]\n  2 -> 26 [size =\"30211072\"]\n  2 -> 27 [size =\"30211072\"]\n  2 -> 29 [size =\"30211072\"]\n  2 -> 30 [size =\"30211072\"]\n  3 [size=\"18496000\", alpha=\"0.08\", expect_size=\"7398400\"] \n  3 -> 21 [size =\"7398400\"]\n  3 -> 22 [size =\"7398400\"]\n  3 -> 24 [size =\"7398400\"]\n  3 -> 25 [size =\"7398400\"]\n  3 -> 26 [size =\"7398400\"]\n  3 -> 30 [size =\"7398400\"]\n  4 [size=\"49474560\", alpha=\"0.15\", expect_size=\"19789824\"] \n  4 -> 21 [size =\"19789824\"]\n  4 -> 23 [size =\"19789824\"]\n  4 -> 25 [size =\"19789824\"]\n  4 -> 27 [size =\"19789824\"]\n  4 -> 28 [size =\"19789824\"]\n  5 [size=\"115673600\", alpha=\"0.04\", expect_size=\"46269440\"] \n  6 [size=\"79191040\", alpha=\"0.19\", expect_size=\"31676416\"] \n  6 -> 22 [size =\"31676416\"]\n  6 -> 23 [size =\"31676416\"]\n  6 -> 24 [size =\"31676416\"]\n  6 -> 25 [size =\"31676416\"]\n  6 -> 26 [size =\"31676416\"]\n  6 -> 30 [size =\"31676416\"]\n  7 [size=\"63052800\", alpha=\"0.04\", expect_size=\"25221120\"] \n  7 -> 22 [size =\"25221120\"]\n  7 -> 23 [size =\"25221120\"]\n  7 -> 24 [size =\"25221120\"]\n  7 -> 26 [size =\"25221120\"]\n  8 [size=\"93657600\", alpha=\"0.15\", expect_size=\"37463040\"] \n  8 -> 22 [size =\"37463040\"]\n  8 -> 23 [size =\"37463040\"]\n  8 -> 24 [size =\"37463040\"]\n  8 -> 25 [size =\"37463040\"]\n  8 -> 26 [size =\"37463040\"]\n  9 [size=\"65623040\", alpha=\"0.10\", expect_size=\"26249216\"] \n  9 -> 21 [size =\"26249216\"]\n  9 -> 23 [size =\"26249216\"]\n  9 -> 25 [size =\"26249216\"]\n  10 [size=\"31068160\", alpha=\"0.20\", expect_size=\"12427264\"] \n  10 -> 21 [size =\"12427264\"]\n  10 -> 23 [size =\"12427264\"]\n  10 -> 27 [size =\"12427264\"]\n  10 -> 29 [size =\"12427264\"]\n  11 [size=\"33866240\", alpha=\"0.03\", expect_size=\"13546496\"] \n  11 -> 23 [size =\"13546496\"]\n  11 -> 26 [size =\"13546496\"]\n  11 -> 27 [size =\"13546496\"]\n  11 -> 30 [size =\"13546496\"]\n  12 [size=\"55884800\", alpha=\"0.09\", expect_size=\"22353920\"] \n  12 -> 21 [size =\"22353920\"]\n  12 -> 23 [size =\"22353920\"]\n  12 -> 24 [size =\"22353920\"]\n  12 -> 25 [size =\"22353920\"]\n  12 -> 26 [size =\"22353920\"]\n  12 -> 29 [size =\"22353920\"]\n  12 -> 30 [size =\"22353920\"]\n  13 [size=\"121233920\", alpha=\"0.10\", expect_size=\"48493568\"] \n  13 -> 25 [size =\"48493568\"]\n  13 -> 26 [size =\"48493568\"]\n  13 -> 27 [size =\"48493568\"]\n  14 [size=\"49594880\", alpha=\"0.09\", expect_size=\"19837952\"] \n  14 -> 21 [size =\"19837952\"]\n  14 -> 23 [size =\"19837952\"]\n  14 -> 25 [size =\"19837952\"]\n  14 -> 26 [size =\"19837952\"]\n  14 -> 27 [size =\"19837952\"]\n  14 -> 28 [size =\"19837952\"]\n  15 [size=\"22279680\", alpha=\"0.06\", expect_size=\"8911872\"] \n  15 -> 25 [size =\"8911872\"]\n  15 -> 26 [size =\"8911872\"]\n  15 -> 27 [size =\"8911872\"]\n  16 [size=\"48424960\", alpha=\"0.09\", expect_size=\"19369984\"] \n  16 -> 21 [size =\"19369984\"]\n  16 -> 25 [size =\"19369984\"]\n  16 -> 26 [size =\"19369984\"]\n  16 -> 27 [size =\"19369984\"]\n  16 -> 29 [size =\"19369984\"]\n  16 -> 30 [size =\"19369984\"]\n  17 [size=\"40384000\", alpha=\"0.01\", expect_size=\"16153600\"] \n  17 -> 25 [size =\"16153600\"]\n  17 -> 26 [size =\"16153600\"]\n  18 [size=\"61373440\", alpha=\"0.11\", expect_size=\"24549376\"] \n  18 -> 21 [size =\"24549376\"]\n  18 -> 23 [size =\"24549376\"]\n  18 -> 24 [size =\"24549376\"]\n  18 -> 26 [size =\"24549376\"]\n  18 -> 29 [size =\"24549376\"]\n  19 [size=\"34009600\", alpha=\"0.02\", expect_size=\"13603840\"] \n  19 -> 26 [size =\"13603840\"]\n  19 -> 27 [size =\"13603840\"]\n  19 -> 29 [size =\"13603840\"]\n  20 [size=\"95104000\", alpha=\"0.03\", expect_size=\"38041600\"] \n  20 -> 21 [size =\"38041600\"]\n  20 -> 24 [size =\"38041600\"]\n  20 -> 25 [size =\"38041600\"]\n  20 -> 27 [size =\"38041600\"]\n  21 [size=\"92682240\", alpha=\"0.08\", expect_size=\"37072896\"] \n  22 [size=\"109890560\", alpha=\"0.04\", expect_size=\"43956224\"] \n  23 [size=\"42675200\", alpha=\"0.01\", expect_size=\"17070080\"] \n  24 [size=\"99944960\", alpha=\"0.04\", expect_size=\"39977984\"] \n  25 [size=\"32558080\", alpha=\"0.04\", expect_size=\"13023232\"] \n  26 [size=\"68101120\", alpha=\"0.15\", expect_size=\"27240448\"] \n  27 [size=\"120320000\", alpha=\"0.15\", expect_size=\"48128000\"] \n  28 [size=\"124062720\", alpha=\"0.09\", expect_size=\"49625088\"] \n  29 [size=\"72368640\", alpha=\"0.11\", expect_size=\"28947456\"] \n  30 [size=\"85317120\", alpha=\"0.17\", expect_size=\"34126848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29693440\", alpha=\"0.04\", expect_size=\"11877376\"] \n  1 -> 7 [size =\"11877376\"]\n  2 [size=\"61184000\", alpha=\"0.15\", expect_size=\"24473600\"] \n  2 -> 6 [size =\"24473600\"]\n  2 -> 7 [size =\"24473600\"]\n  3 [size=\"115386880\", alpha=\"0.06\", expect_size=\"46154752\"] \n  3 -> 5 [size =\"46154752\"]\n  3 -> 8 [size =\"46154752\"]\n  4 [size=\"22417920\", alpha=\"0.00\", expect_size=\"8967168\"] \n  4 -> 5 [size =\"8967168\"]\n  4 -> 8 [size =\"8967168\"]\n  5 [size=\"101388800\", alpha=\"0.04\", expect_size=\"40555520\"] \n  5 -> 13 [size =\"40555520\"]\n  6 [size=\"21954560\", alpha=\"0.20\", expect_size=\"8781824\"] \n  6 -> 9 [size =\"8781824\"]\n  7 [size=\"38630400\", alpha=\"0.19\", expect_size=\"15452160\"] \n  7 -> 11 [size =\"15452160\"]\n  7 -> 12 [size =\"15452160\"]\n  8 [size=\"35589120\", alpha=\"0.15\", expect_size=\"14235648\"] \n  8 -> 10 [size =\"14235648\"]\n  8 -> 11 [size =\"14235648\"]\n  8 -> 13 [size =\"14235648\"]\n  9 [size=\"56322560\", alpha=\"0.12\", expect_size=\"22529024\"] \n  9 -> 14 [size =\"22529024\"]\n  9 -> 15 [size =\"22529024\"]\n  10 [size=\"92129280\", alpha=\"0.11\", expect_size=\"36851712\"] \n  10 -> 16 [size =\"36851712\"]\n  10 -> 17 [size =\"36851712\"]\n  11 [size=\"92446720\", alpha=\"0.04\", expect_size=\"36978688\"] \n  11 -> 14 [size =\"36978688\"]\n  11 -> 16 [size =\"36978688\"]\n  11 -> 17 [size =\"36978688\"]\n  12 [size=\"118428160\", alpha=\"0.07\", expect_size=\"47371264\"] \n  12 -> 15 [size =\"47371264\"]\n  13 [size=\"87836160\", alpha=\"0.14\", expect_size=\"35134464\"] \n  13 -> 15 [size =\"35134464\"]\n  14 [size=\"121525760\", alpha=\"0.15\", expect_size=\"48610304\"] \n  14 -> 18 [size =\"48610304\"]\n  14 -> 19 [size =\"48610304\"]\n  14 -> 20 [size =\"48610304\"]\n  15 [size=\"123947520\", alpha=\"0.06\", expect_size=\"49579008\"] \n  15 -> 20 [size =\"49579008\"]\n  15 -> 22 [size =\"49579008\"]\n  16 [size=\"28270080\", alpha=\"0.15\", expect_size=\"11308032\"] \n  16 -> 19 [size =\"11308032\"]\n  17 [size=\"25802240\", alpha=\"0.02\", expect_size=\"10320896\"] \n  17 -> 21 [size =\"10320896\"]\n  18 [size=\"17187840\", alpha=\"0.17\", expect_size=\"6875136\"] \n  18 -> 26 [size =\"6875136\"]\n  18 -> 27 [size =\"6875136\"]\n  18 -> 28 [size =\"6875136\"]\n  19 [size=\"106657280\", alpha=\"0.19\", expect_size=\"42662912\"] \n  19 -> 24 [size =\"42662912\"]\n  19 -> 27 [size =\"42662912\"]\n  20 [size=\"57098240\", alpha=\"0.13\", expect_size=\"22839296\"] \n  20 -> 23 [size =\"22839296\"]\n  21 [size=\"121684480\", alpha=\"0.09\", expect_size=\"48673792\"] \n  21 -> 23 [size =\"48673792\"]\n  21 -> 25 [size =\"48673792\"]\n  22 [size=\"27368960\", alpha=\"0.13\", expect_size=\"10947584\"] \n  22 -> 25 [size =\"10947584\"]\n  22 -> 26 [size =\"10947584\"]\n  22 -> 28 [size =\"10947584\"]\n  23 [size=\"66081280\", alpha=\"0.15\", expect_size=\"26432512\"] \n  23 -> 30 [size =\"26432512\"]\n  24 [size=\"27824640\", alpha=\"0.18\", expect_size=\"11129856\"] \n  25 [size=\"117283840\", alpha=\"0.16\", expect_size=\"46913536\"] \n  25 -> 29 [size =\"46913536\"]\n  26 [size=\"36979200\", alpha=\"0.16\", expect_size=\"14791680\"] \n  26 -> 29 [size =\"14791680\"]\n  27 [size=\"123778560\", alpha=\"0.00\", expect_size=\"49511424\"] \n  27 -> 30 [size =\"49511424\"]\n  28 [size=\"16476160\", alpha=\"0.08\", expect_size=\"6590464\"] \n  29 [size=\"117721600\", alpha=\"0.03\", expect_size=\"47088640\"] \n  30 [size=\"114611200\", alpha=\"0.12\", expect_size=\"45844480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122273280\", alpha=\"0.18\", expect_size=\"48909312\"] \n  1 -> 24 [size =\"48909312\"]\n  1 -> 26 [size =\"48909312\"]\n  1 -> 27 [size =\"48909312\"]\n  1 -> 29 [size =\"48909312\"]\n  2 [size=\"120176640\", alpha=\"0.05\", expect_size=\"48070656\"] \n  2 -> 26 [size =\"48070656\"]\n  2 -> 26 [size =\"48070656\"]\n  2 -> 27 [size =\"48070656\"]\n  3 [size=\"102981120\", alpha=\"0.18\", expect_size=\"41192448\"] \n  3 -> 25 [size =\"41192448\"]\n  3 -> 26 [size =\"41192448\"]\n  3 -> 29 [size =\"41192448\"]\n  3 -> 30 [size =\"41192448\"]\n  4 [size=\"125056000\", alpha=\"0.09\", expect_size=\"50022400\"] \n  4 -> 23 [size =\"50022400\"]\n  4 -> 24 [size =\"50022400\"]\n  4 -> 28 [size =\"50022400\"]\n  5 [size=\"51760640\", alpha=\"0.19\", expect_size=\"20704256\"] \n  5 -> 23 [size =\"20704256\"]\n  5 -> 25 [size =\"20704256\"]\n  6 [size=\"84769280\", alpha=\"0.01\", expect_size=\"33907712\"] \n  6 -> 23 [size =\"33907712\"]\n  6 -> 26 [size =\"33907712\"]\n  6 -> 27 [size =\"33907712\"]\n  6 -> 30 [size =\"33907712\"]\n  7 [size=\"95825920\", alpha=\"0.10\", expect_size=\"38330368\"] \n  7 -> 23 [size =\"38330368\"]\n  7 -> 24 [size =\"38330368\"]\n  8 [size=\"31214080\", alpha=\"0.13\", expect_size=\"12485632\"] \n  8 -> 24 [size =\"12485632\"]\n  8 -> 25 [size =\"12485632\"]\n  8 -> 27 [size =\"12485632\"]\n  8 -> 30 [size =\"12485632\"]\n  9 [size=\"103682560\", alpha=\"0.17\", expect_size=\"41473024\"] \n  10 [size=\"58887680\", alpha=\"0.15\", expect_size=\"23555072\"] \n  10 -> 27 [size =\"23555072\"]\n  10 -> 29 [size =\"23555072\"]\n  10 -> 30 [size =\"23555072\"]\n  11 [size=\"20239360\", alpha=\"0.04\", expect_size=\"8095744\"] \n  11 -> 26 [size =\"8095744\"]\n  11 -> 27 [size =\"8095744\"]\n  12 [size=\"128588800\", alpha=\"0.19\", expect_size=\"51435520\"] \n  12 -> 24 [size =\"51435520\"]\n  12 -> 26 [size =\"51435520\"]\n  13 [size=\"37639680\", alpha=\"0.06\", expect_size=\"15055872\"] \n  13 -> 27 [size =\"15055872\"]\n  14 [size=\"28753920\", alpha=\"0.17\", expect_size=\"11501568\"] \n  14 -> 24 [size =\"11501568\"]\n  14 -> 25 [size =\"11501568\"]\n  14 -> 27 [size =\"11501568\"]\n  14 -> 30 [size =\"11501568\"]\n  15 [size=\"84029440\", alpha=\"0.11\", expect_size=\"33611776\"] \n  15 -> 23 [size =\"33611776\"]\n  15 -> 24 [size =\"33611776\"]\n  15 -> 25 [size =\"33611776\"]\n  15 -> 28 [size =\"33611776\"]\n  15 -> 30 [size =\"33611776\"]\n  16 [size=\"76948480\", alpha=\"0.19\", expect_size=\"30779392\"] \n  16 -> 24 [size =\"30779392\"]\n  16 -> 25 [size =\"30779392\"]\n  16 -> 28 [size =\"30779392\"]\n  17 [size=\"85168640\", alpha=\"0.15\", expect_size=\"34067456\"] \n  17 -> 24 [size =\"34067456\"]\n  18 [size=\"23600640\", alpha=\"0.04\", expect_size=\"9440256\"] \n  18 -> 26 [size =\"9440256\"]\n  18 -> 27 [size =\"9440256\"]\n  18 -> 29 [size =\"9440256\"]\n  18 -> 30 [size =\"9440256\"]\n  19 [size=\"102894080\", alpha=\"0.00\", expect_size=\"41157632\"] \n  19 -> 23 [size =\"41157632\"]\n  19 -> 26 [size =\"41157632\"]\n  20 [size=\"87861760\", alpha=\"0.00\", expect_size=\"35144704\"] \n  20 -> 25 [size =\"35144704\"]\n  20 -> 26 [size =\"35144704\"]\n  21 [size=\"60106240\", alpha=\"0.18\", expect_size=\"24042496\"] \n  21 -> 25 [size =\"24042496\"]\n  21 -> 27 [size =\"24042496\"]\n  21 -> 30 [size =\"24042496\"]\n  22 [size=\"84641280\", alpha=\"0.15\", expect_size=\"33856512\"] \n  22 -> 25 [size =\"33856512\"]\n  22 -> 29 [size =\"33856512\"]\n  23 [size=\"76638720\", alpha=\"0.06\", expect_size=\"30655488\"] \n  24 [size=\"114503680\", alpha=\"0.17\", expect_size=\"45801472\"] \n  25 [size=\"98380800\", alpha=\"0.14\", expect_size=\"39352320\"] \n  26 [size=\"47298560\", alpha=\"0.03\", expect_size=\"18919424\"] \n  27 [size=\"44047360\", alpha=\"0.07\", expect_size=\"17618944\"] \n  28 [size=\"16668160\", alpha=\"0.13\", expect_size=\"6667264\"] \n  29 [size=\"40698880\", alpha=\"0.15\", expect_size=\"16279552\"] \n  30 [size=\"42880000\", alpha=\"0.04\", expect_size=\"17152000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131495253\", alpha=\"0.01\", expect_size=\"39448576\"] \n  1 -> 2 [size =\"39448576\"]\n  2 [size=\"136509440\", alpha=\"0.06\", expect_size=\"40952832\"] \n  2 -> 3 [size =\"40952832\"]\n  3 [size=\"34406400\", alpha=\"0.13\", expect_size=\"10321920\"] \n  3 -> 4 [size =\"10321920\"]\n  4 [size=\"172021760\", alpha=\"0.02\", expect_size=\"51606528\"] \n  4 -> 5 [size =\"51606528\"]\n  5 [size=\"58077867\", alpha=\"0.13\", expect_size=\"17423360\"] \n  5 -> 6 [size =\"17423360\"]\n  6 [size=\"107547307\", alpha=\"0.10\", expect_size=\"32264192\"] \n  6 -> 7 [size =\"32264192\"]\n  7 [size=\"51053227\", alpha=\"0.18\", expect_size=\"15315968\"] \n  7 -> 8 [size =\"15315968\"]\n  8 [size=\"106444800\", alpha=\"0.06\", expect_size=\"31933440\"] \n  8 -> 9 [size =\"31933440\"]\n  9 [size=\"91310080\", alpha=\"0.19\", expect_size=\"27393024\"] \n  9 -> 10 [size =\"27393024\"]\n  10 [size=\"122395307\", alpha=\"0.10\", expect_size=\"36718592\"] \n  10 -> 11 [size =\"36718592\"]\n  11 [size=\"48288427\", alpha=\"0.04\", expect_size=\"14486528\"] \n  11 -> 12 [size =\"14486528\"]\n  12 [size=\"53121707\", alpha=\"0.09\", expect_size=\"15936512\"] \n  12 -> 13 [size =\"15936512\"]\n  13 [size=\"103669760\", alpha=\"0.03\", expect_size=\"31100928\"] \n  13 -> 14 [size =\"31100928\"]\n  14 [size=\"47892480\", alpha=\"0.19\", expect_size=\"14367744\"] \n  14 -> 15 [size =\"14367744\"]\n  15 [size=\"62808747\", alpha=\"0.02\", expect_size=\"18842624\"] \n  15 -> 16 [size =\"18842624\"]\n  16 [size=\"168813227\", alpha=\"0.07\", expect_size=\"50643968\"] \n  16 -> 17 [size =\"50643968\"]\n  17 [size=\"87869440\", alpha=\"0.08\", expect_size=\"26360832\"] \n  17 -> 18 [size =\"26360832\"]\n  18 [size=\"70318080\", alpha=\"0.07\", expect_size=\"21095424\"] \n  18 -> 19 [size =\"21095424\"]\n  19 [size=\"114889387\", alpha=\"0.04\", expect_size=\"34466816\"] \n  19 -> 20 [size =\"34466816\"]\n  20 [size=\"103441067\", alpha=\"0.05\", expect_size=\"31032320\"] \n  20 -> 21 [size =\"31032320\"]\n  21 [size=\"24780800\", alpha=\"0.01\", expect_size=\"7434240\"] \n  21 -> 22 [size =\"7434240\"]\n  22 [size=\"53650773\", alpha=\"0.12\", expect_size=\"16095232\"] \n  22 -> 23 [size =\"16095232\"]\n  23 [size=\"124907520\", alpha=\"0.05\", expect_size=\"37472256\"] \n  23 -> 24 [size =\"37472256\"]\n  24 [size=\"151845547\", alpha=\"0.18\", expect_size=\"45553664\"] \n  24 -> 25 [size =\"45553664\"]\n  25 [size=\"144056320\", alpha=\"0.16\", expect_size=\"43216896\"] \n  25 -> 26 [size =\"43216896\"]\n  26 [size=\"156272640\", alpha=\"0.06\", expect_size=\"46881792\"] \n  26 -> 27 [size =\"46881792\"]\n  27 [size=\"51077120\", alpha=\"0.19\", expect_size=\"15323136\"] \n  27 -> 28 [size =\"15323136\"]\n  28 [size=\"110912853\", alpha=\"0.04\", expect_size=\"33273856\"] \n  28 -> 29 [size =\"33273856\"]\n  29 [size=\"164061867\", alpha=\"0.19\", expect_size=\"49218560\"] \n  29 -> 30 [size =\"49218560\"]\n  30 [size=\"37502293\", alpha=\"0.06\", expect_size=\"11250688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83411627\", alpha=\"0.05\", expect_size=\"25023488\"] \n  1 -> 6 [size =\"25023488\"]\n  1 -> 9 [size =\"25023488\"]\n  2 [size=\"92129280\", alpha=\"0.03\", expect_size=\"27638784\"] \n  2 -> 5 [size =\"27638784\"]\n  2 -> 8 [size =\"27638784\"]\n  2 -> 9 [size =\"27638784\"]\n  3 [size=\"47390720\", alpha=\"0.11\", expect_size=\"14217216\"] \n  3 -> 5 [size =\"14217216\"]\n  4 [size=\"125020160\", alpha=\"0.04\", expect_size=\"37506048\"] \n  4 -> 5 [size =\"37506048\"]\n  4 -> 7 [size =\"37506048\"]\n  4 -> 8 [size =\"37506048\"]\n  4 -> 9 [size =\"37506048\"]\n  5 [size=\"54889813\", alpha=\"0.11\", expect_size=\"16466944\"] \n  5 -> 10 [size =\"16466944\"]\n  5 -> 11 [size =\"16466944\"]\n  5 -> 12 [size =\"16466944\"]\n  5 -> 13 [size =\"16466944\"]\n  6 [size=\"145537707\", alpha=\"0.08\", expect_size=\"43661312\"] \n  7 [size=\"36208640\", alpha=\"0.13\", expect_size=\"10862592\"] \n  7 -> 11 [size =\"10862592\"]\n  8 [size=\"139854507\", alpha=\"0.20\", expect_size=\"41956352\"] \n  8 -> 10 [size =\"41956352\"]\n  9 [size=\"34826240\", alpha=\"0.13\", expect_size=\"10447872\"] \n  9 -> 10 [size =\"10447872\"]\n  9 -> 12 [size =\"10447872\"]\n  9 -> 14 [size =\"10447872\"]\n  10 [size=\"149886293\", alpha=\"0.09\", expect_size=\"44965888\"] \n  10 -> 15 [size =\"44965888\"]\n  10 -> 18 [size =\"44965888\"]\n  10 -> 19 [size =\"44965888\"]\n  11 [size=\"99157333\", alpha=\"0.08\", expect_size=\"29747200\"] \n  11 -> 17 [size =\"29747200\"]\n  12 [size=\"136666453\", alpha=\"0.01\", expect_size=\"40999936\"] \n  12 -> 15 [size =\"40999936\"]\n  12 -> 16 [size =\"40999936\"]\n  13 [size=\"161918293\", alpha=\"0.17\", expect_size=\"48575488\"] \n  13 -> 18 [size =\"48575488\"]\n  14 [size=\"92327253\", alpha=\"0.10\", expect_size=\"27698176\"] \n  14 -> 15 [size =\"27698176\"]\n  15 [size=\"123269120\", alpha=\"0.11\", expect_size=\"36980736\"] \n  15 -> 22 [size =\"36980736\"]\n  16 [size=\"50025813\", alpha=\"0.04\", expect_size=\"15007744\"] \n  16 -> 21 [size =\"15007744\"]\n  16 -> 24 [size =\"15007744\"]\n  17 [size=\"109837653\", alpha=\"0.07\", expect_size=\"32951296\"] \n  17 -> 20 [size =\"32951296\"]\n  17 -> 23 [size =\"32951296\"]\n  18 [size=\"51285333\", alpha=\"0.10\", expect_size=\"15385600\"] \n  18 -> 22 [size =\"15385600\"]\n  18 -> 24 [size =\"15385600\"]\n  19 [size=\"49257813\", alpha=\"0.10\", expect_size=\"14777344\"] \n  20 [size=\"148329813\", alpha=\"0.04\", expect_size=\"44498944\"] \n  20 -> 25 [size =\"44498944\"]\n  20 -> 26 [size =\"44498944\"]\n  20 -> 27 [size =\"44498944\"]\n  20 -> 28 [size =\"44498944\"]\n  21 [size=\"58507947\", alpha=\"0.06\", expect_size=\"17552384\"] \n  21 -> 25 [size =\"17552384\"]\n  22 [size=\"124958720\", alpha=\"0.17\", expect_size=\"37487616\"] \n  22 -> 27 [size =\"37487616\"]\n  22 -> 28 [size =\"37487616\"]\n  22 -> 29 [size =\"37487616\"]\n  23 [size=\"129798827\", alpha=\"0.12\", expect_size=\"38939648\"] \n  24 [size=\"104458240\", alpha=\"0.01\", expect_size=\"31337472\"] \n  24 -> 25 [size =\"31337472\"]\n  25 [size=\"29006507\", alpha=\"0.15\", expect_size=\"8701952\"] \n  25 -> 30 [size =\"8701952\"]\n  26 [size=\"112558080\", alpha=\"0.04\", expect_size=\"33767424\"] \n  26 -> 30 [size =\"33767424\"]\n  27 [size=\"142991360\", alpha=\"0.17\", expect_size=\"42897408\"] \n  28 [size=\"37543253\", alpha=\"0.04\", expect_size=\"11262976\"] \n  29 [size=\"117459627\", alpha=\"0.15\", expect_size=\"35237888\"] \n  29 -> 30 [size =\"35237888\"]\n  30 [size=\"41704107\", alpha=\"0.01\", expect_size=\"12511232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16025600\", alpha=\"0.08\", expect_size=\"6410240\"] \n  1 -> 15 [size =\"6410240\"]\n  2 [size=\"13276160\", alpha=\"0.08\", expect_size=\"5310464\"] \n  2 -> 13 [size =\"5310464\"]\n  2 -> 15 [size =\"5310464\"]\n  2 -> 17 [size =\"5310464\"]\n  3 [size=\"70195200\", alpha=\"0.09\", expect_size=\"28078080\"] \n  3 -> 12 [size =\"28078080\"]\n  3 -> 13 [size =\"28078080\"]\n  3 -> 16 [size =\"28078080\"]\n  3 -> 19 [size =\"28078080\"]\n  4 [size=\"105344000\", alpha=\"0.09\", expect_size=\"42137600\"] \n  4 -> 10 [size =\"42137600\"]\n  4 -> 11 [size =\"42137600\"]\n  4 -> 16 [size =\"42137600\"]\n  5 [size=\"75919360\", alpha=\"0.11\", expect_size=\"30367744\"] \n  5 -> 10 [size =\"30367744\"]\n  5 -> 16 [size =\"30367744\"]\n  6 [size=\"77255680\", alpha=\"0.02\", expect_size=\"30902272\"] \n  6 -> 12 [size =\"30902272\"]\n  6 -> 17 [size =\"30902272\"]\n  7 [size=\"95467520\", alpha=\"0.16\", expect_size=\"38187008\"] \n  7 -> 11 [size =\"38187008\"]\n  7 -> 14 [size =\"38187008\"]\n  7 -> 16 [size =\"38187008\"]\n  7 -> 17 [size =\"38187008\"]\n  8 [size=\"78146560\", alpha=\"0.10\", expect_size=\"31258624\"] \n  8 -> 10 [size =\"31258624\"]\n  8 -> 11 [size =\"31258624\"]\n  8 -> 14 [size =\"31258624\"]\n  8 -> 16 [size =\"31258624\"]\n  8 -> 17 [size =\"31258624\"]\n  8 -> 18 [size =\"31258624\"]\n  9 [size=\"122938880\", alpha=\"0.14\", expect_size=\"49175552\"] \n  9 -> 13 [size =\"49175552\"]\n  9 -> 14 [size =\"49175552\"]\n  9 -> 14 [size =\"49175552\"]\n  9 -> 15 [size =\"49175552\"]\n  9 -> 17 [size =\"49175552\"]\n  10 [size=\"127912960\", alpha=\"0.09\", expect_size=\"51165184\"] \n  10 -> 21 [size =\"51165184\"]\n  10 -> 25 [size =\"51165184\"]\n  10 -> 26 [size =\"51165184\"]\n  10 -> 27 [size =\"51165184\"]\n  10 -> 29 [size =\"51165184\"]\n  11 [size=\"111818240\", alpha=\"0.03\", expect_size=\"44727296\"] \n  11 -> 20 [size =\"44727296\"]\n  11 -> 21 [size =\"44727296\"]\n  11 -> 25 [size =\"44727296\"]\n  12 [size=\"39838720\", alpha=\"0.15\", expect_size=\"15935488\"] \n  12 -> 21 [size =\"15935488\"]\n  12 -> 24 [size =\"15935488\"]\n  12 -> 28 [size =\"15935488\"]\n  13 [size=\"86592000\", alpha=\"0.14\", expect_size=\"34636800\"] \n  13 -> 20 [size =\"34636800\"]\n  13 -> 23 [size =\"34636800\"]\n  13 -> 25 [size =\"34636800\"]\n  13 -> 26 [size =\"34636800\"]\n  14 [size=\"21667840\", alpha=\"0.09\", expect_size=\"8667136\"] \n  14 -> 21 [size =\"8667136\"]\n  14 -> 22 [size =\"8667136\"]\n  14 -> 23 [size =\"8667136\"]\n  14 -> 24 [size =\"8667136\"]\n  14 -> 25 [size =\"8667136\"]\n  14 -> 27 [size =\"8667136\"]\n  15 [size=\"76042240\", alpha=\"0.03\", expect_size=\"30416896\"] \n  15 -> 21 [size =\"30416896\"]\n  15 -> 28 [size =\"30416896\"]\n  16 [size=\"24678400\", alpha=\"0.16\", expect_size=\"9871360\"] \n  16 -> 20 [size =\"9871360\"]\n  16 -> 27 [size =\"9871360\"]\n  17 [size=\"38965760\", alpha=\"0.04\", expect_size=\"15586304\"] \n  17 -> 20 [size =\"15586304\"]\n  17 -> 22 [size =\"15586304\"]\n  17 -> 24 [size =\"15586304\"]\n  18 [size=\"17047040\", alpha=\"0.04\", expect_size=\"6818816\"] \n  18 -> 20 [size =\"6818816\"]\n  18 -> 22 [size =\"6818816\"]\n  18 -> 23 [size =\"6818816\"]\n  19 [size=\"74767360\", alpha=\"0.10\", expect_size=\"29906944\"] \n  19 -> 23 [size =\"29906944\"]\n  19 -> 26 [size =\"29906944\"]\n  19 -> 28 [size =\"29906944\"]\n  20 [size=\"37591040\", alpha=\"0.09\", expect_size=\"15036416\"] \n  20 -> 30 [size =\"15036416\"]\n  21 [size=\"87992320\", alpha=\"0.08\", expect_size=\"35196928\"] \n  22 [size=\"107025920\", alpha=\"0.07\", expect_size=\"42810368\"] \n  23 [size=\"78507520\", alpha=\"0.16\", expect_size=\"31403008\"] \n  24 [size=\"40916480\", alpha=\"0.01\", expect_size=\"16366592\"] \n  25 [size=\"95441920\", alpha=\"0.16\", expect_size=\"38176768\"] \n  26 [size=\"114296320\", alpha=\"0.02\", expect_size=\"45718528\"] \n  26 -> 30 [size =\"45718528\"]\n  27 [size=\"90803200\", alpha=\"0.02\", expect_size=\"36321280\"] \n  28 [size=\"112983040\", alpha=\"0.13\", expect_size=\"45193216\"] \n  29 [size=\"21312000\", alpha=\"0.02\", expect_size=\"8524800\"] \n  30 [size=\"80785920\", alpha=\"0.12\", expect_size=\"32314368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59822080\", alpha=\"0.02\", expect_size=\"23928832\"] \n  2 [size=\"83361280\", alpha=\"0.11\", expect_size=\"33344512\"] \n  2 -> 9 [size =\"33344512\"]\n  2 -> 13 [size =\"33344512\"]\n  2 -> 14 [size =\"33344512\"]\n  2 -> 16 [size =\"33344512\"]\n  3 [size=\"73029120\", alpha=\"0.05\", expect_size=\"29211648\"] \n  3 -> 16 [size =\"29211648\"]\n  4 [size=\"118307840\", alpha=\"0.18\", expect_size=\"47323136\"] \n  4 -> 11 [size =\"47323136\"]\n  4 -> 12 [size =\"47323136\"]\n  4 -> 16 [size =\"47323136\"]\n  5 [size=\"119695360\", alpha=\"0.09\", expect_size=\"47878144\"] \n  5 -> 10 [size =\"47878144\"]\n  5 -> 12 [size =\"47878144\"]\n  5 -> 15 [size =\"47878144\"]\n  6 [size=\"57607680\", alpha=\"0.05\", expect_size=\"23043072\"] \n  6 -> 17 [size =\"23043072\"]\n  7 [size=\"85752320\", alpha=\"0.06\", expect_size=\"34300928\"] \n  8 [size=\"16015360\", alpha=\"0.18\", expect_size=\"6406144\"] \n  8 -> 15 [size =\"6406144\"]\n  9 [size=\"87895040\", alpha=\"0.09\", expect_size=\"35158016\"] \n  9 -> 18 [size =\"35158016\"]\n  9 -> 19 [size =\"35158016\"]\n  9 -> 21 [size =\"35158016\"]\n  9 -> 23 [size =\"35158016\"]\n  9 -> 24 [size =\"35158016\"]\n  9 -> 25 [size =\"35158016\"]\n  9 -> 26 [size =\"35158016\"]\n  10 [size=\"118873600\", alpha=\"0.06\", expect_size=\"47549440\"] \n  10 -> 18 [size =\"47549440\"]\n  10 -> 23 [size =\"47549440\"]\n  10 -> 26 [size =\"47549440\"]\n  10 -> 27 [size =\"47549440\"]\n  11 [size=\"119833600\", alpha=\"0.09\", expect_size=\"47933440\"] \n  11 -> 18 [size =\"47933440\"]\n  11 -> 20 [size =\"47933440\"]\n  11 -> 23 [size =\"47933440\"]\n  11 -> 26 [size =\"47933440\"]\n  11 -> 29 [size =\"47933440\"]\n  12 [size=\"15664640\", alpha=\"0.13\", expect_size=\"6265856\"] \n  12 -> 18 [size =\"6265856\"]\n  12 -> 20 [size =\"6265856\"]\n  12 -> 23 [size =\"6265856\"]\n  12 -> 26 [size =\"6265856\"]\n  12 -> 28 [size =\"6265856\"]\n  13 [size=\"83095040\", alpha=\"0.08\", expect_size=\"33238016\"] \n  13 -> 18 [size =\"33238016\"]\n  13 -> 23 [size =\"33238016\"]\n  13 -> 28 [size =\"33238016\"]\n  14 [size=\"113666560\", alpha=\"0.04\", expect_size=\"45466624\"] \n  14 -> 24 [size =\"45466624\"]\n  14 -> 25 [size =\"45466624\"]\n  14 -> 27 [size =\"45466624\"]\n  14 -> 29 [size =\"45466624\"]\n  15 [size=\"100474880\", alpha=\"0.18\", expect_size=\"40189952\"] \n  15 -> 24 [size =\"40189952\"]\n  15 -> 25 [size =\"40189952\"]\n  16 [size=\"36812800\", alpha=\"0.14\", expect_size=\"14725120\"] \n  16 -> 19 [size =\"14725120\"]\n  16 -> 22 [size =\"14725120\"]\n  16 -> 25 [size =\"14725120\"]\n  16 -> 26 [size =\"14725120\"]\n  16 -> 29 [size =\"14725120\"]\n  17 [size=\"65162240\", alpha=\"0.17\", expect_size=\"26064896\"] \n  17 -> 24 [size =\"26064896\"]\n  17 -> 25 [size =\"26064896\"]\n  17 -> 28 [size =\"26064896\"]\n  18 [size=\"98872320\", alpha=\"0.16\", expect_size=\"39548928\"] \n  19 [size=\"86423040\", alpha=\"0.05\", expect_size=\"34569216\"] \n  20 [size=\"19550720\", alpha=\"0.03\", expect_size=\"7820288\"] \n  20 -> 30 [size =\"7820288\"]\n  21 [size=\"52943360\", alpha=\"0.09\", expect_size=\"21177344\"] \n  22 [size=\"107368960\", alpha=\"0.06\", expect_size=\"42947584\"] \n  22 -> 30 [size =\"42947584\"]\n  23 [size=\"68705280\", alpha=\"0.15\", expect_size=\"27482112\"] \n  23 -> 30 [size =\"27482112\"]\n  24 [size=\"118563840\", alpha=\"0.00\", expect_size=\"47425536\"] \n  25 [size=\"23116800\", alpha=\"0.04\", expect_size=\"9246720\"] \n  26 [size=\"13911040\", alpha=\"0.16\", expect_size=\"5564416\"] \n  27 [size=\"98101760\", alpha=\"0.20\", expect_size=\"39240704\"] \n  28 [size=\"80445440\", alpha=\"0.04\", expect_size=\"32178176\"] \n  29 [size=\"58452480\", alpha=\"0.01\", expect_size=\"23380992\"] \n  30 [size=\"85985280\", alpha=\"0.16\", expect_size=\"34394112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30568960\", alpha=\"0.12\", expect_size=\"12227584\"] \n  1 -> 17 [size =\"12227584\"]\n  1 -> 22 [size =\"12227584\"]\n  1 -> 22 [size =\"12227584\"]\n  2 [size=\"53050880\", alpha=\"0.06\", expect_size=\"21220352\"] \n  2 -> 17 [size =\"21220352\"]\n  2 -> 18 [size =\"21220352\"]\n  2 -> 22 [size =\"21220352\"]\n  3 [size=\"41479680\", alpha=\"0.01\", expect_size=\"16591872\"] \n  3 -> 20 [size =\"16591872\"]\n  3 -> 21 [size =\"16591872\"]\n  4 [size=\"79319040\", alpha=\"0.05\", expect_size=\"31727616\"] \n  4 -> 16 [size =\"31727616\"]\n  4 -> 17 [size =\"31727616\"]\n  5 [size=\"108295680\", alpha=\"0.05\", expect_size=\"43318272\"] \n  5 -> 16 [size =\"43318272\"]\n  5 -> 17 [size =\"43318272\"]\n  5 -> 20 [size =\"43318272\"]\n  5 -> 21 [size =\"43318272\"]\n  5 -> 22 [size =\"43318272\"]\n  6 [size=\"112934400\", alpha=\"0.19\", expect_size=\"45173760\"] \n  6 -> 16 [size =\"45173760\"]\n  6 -> 17 [size =\"45173760\"]\n  6 -> 21 [size =\"45173760\"]\n  6 -> 21 [size =\"45173760\"]\n  6 -> 22 [size =\"45173760\"]\n  7 [size=\"113177600\", alpha=\"0.08\", expect_size=\"45271040\"] \n  7 -> 15 [size =\"45271040\"]\n  7 -> 17 [size =\"45271040\"]\n  7 -> 18 [size =\"45271040\"]\n  7 -> 19 [size =\"45271040\"]\n  7 -> 20 [size =\"45271040\"]\n  7 -> 21 [size =\"45271040\"]\n  8 [size=\"41950720\", alpha=\"0.08\", expect_size=\"16780288\"] \n  8 -> 15 [size =\"16780288\"]\n  8 -> 17 [size =\"16780288\"]\n  8 -> 19 [size =\"16780288\"]\n  8 -> 20 [size =\"16780288\"]\n  8 -> 21 [size =\"16780288\"]\n  9 [size=\"46730240\", alpha=\"0.11\", expect_size=\"18692096\"] \n  9 -> 17 [size =\"18692096\"]\n  9 -> 20 [size =\"18692096\"]\n  10 [size=\"32535040\", alpha=\"0.17\", expect_size=\"13014016\"] \n  10 -> 15 [size =\"13014016\"]\n  10 -> 17 [size =\"13014016\"]\n  10 -> 20 [size =\"13014016\"]\n  10 -> 22 [size =\"13014016\"]\n  11 [size=\"86228480\", alpha=\"0.12\", expect_size=\"34491392\"] \n  11 -> 15 [size =\"34491392\"]\n  11 -> 16 [size =\"34491392\"]\n  11 -> 19 [size =\"34491392\"]\n  12 [size=\"41390080\", alpha=\"0.06\", expect_size=\"16556032\"] \n  12 -> 16 [size =\"16556032\"]\n  13 [size=\"79352320\", alpha=\"0.17\", expect_size=\"31740928\"] \n  13 -> 16 [size =\"31740928\"]\n  13 -> 19 [size =\"31740928\"]\n  13 -> 20 [size =\"31740928\"]\n  14 [size=\"88102400\", alpha=\"0.17\", expect_size=\"35240960\"] \n  14 -> 16 [size =\"35240960\"]\n  14 -> 19 [size =\"35240960\"]\n  14 -> 22 [size =\"35240960\"]\n  15 [size=\"117760000\", alpha=\"0.12\", expect_size=\"47104000\"] \n  15 -> 23 [size =\"47104000\"]\n  15 -> 24 [size =\"47104000\"]\n  15 -> 27 [size =\"47104000\"]\n  15 -> 30 [size =\"47104000\"]\n  16 [size=\"30423040\", alpha=\"0.16\", expect_size=\"12169216\"] \n  16 -> 24 [size =\"12169216\"]\n  16 -> 24 [size =\"12169216\"]\n  16 -> 26 [size =\"12169216\"]\n  17 [size=\"22924800\", alpha=\"0.06\", expect_size=\"9169920\"] \n  17 -> 28 [size =\"9169920\"]\n  17 -> 29 [size =\"9169920\"]\n  18 [size=\"67622400\", alpha=\"0.16\", expect_size=\"27048960\"] \n  18 -> 27 [size =\"27048960\"]\n  18 -> 28 [size =\"27048960\"]\n  18 -> 29 [size =\"27048960\"]\n  19 [size=\"112778240\", alpha=\"0.12\", expect_size=\"45111296\"] \n  19 -> 26 [size =\"45111296\"]\n  19 -> 29 [size =\"45111296\"]\n  19 -> 30 [size =\"45111296\"]\n  20 [size=\"59397120\", alpha=\"0.08\", expect_size=\"23758848\"] \n  20 -> 23 [size =\"23758848\"]\n  20 -> 25 [size =\"23758848\"]\n  20 -> 26 [size =\"23758848\"]\n  20 -> 27 [size =\"23758848\"]\n  20 -> 28 [size =\"23758848\"]\n  21 [size=\"42293760\", alpha=\"0.07\", expect_size=\"16917504\"] \n  21 -> 23 [size =\"16917504\"]\n  21 -> 26 [size =\"16917504\"]\n  21 -> 27 [size =\"16917504\"]\n  22 [size=\"115310080\", alpha=\"0.13\", expect_size=\"46124032\"] \n  22 -> 23 [size =\"46124032\"]\n  22 -> 25 [size =\"46124032\"]\n  22 -> 26 [size =\"46124032\"]\n  23 [size=\"33256960\", alpha=\"0.03\", expect_size=\"13302784\"] \n  24 [size=\"13335040\", alpha=\"0.05\", expect_size=\"5334016\"] \n  25 [size=\"110794240\", alpha=\"0.03\", expect_size=\"44317696\"] \n  26 [size=\"62732800\", alpha=\"0.18\", expect_size=\"25093120\"] \n  27 [size=\"38318080\", alpha=\"0.09\", expect_size=\"15327232\"] \n  28 [size=\"75348480\", alpha=\"0.06\", expect_size=\"30139392\"] \n  29 [size=\"51335680\", alpha=\"0.08\", expect_size=\"20534272\"] \n  30 [size=\"123834880\", alpha=\"0.14\", expect_size=\"49533952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62344533\", alpha=\"0.01\", expect_size=\"18703360\"] \n  1 -> 14 [size =\"18703360\"]\n  1 -> 15 [size =\"18703360\"]\n  1 -> 16 [size =\"18703360\"]\n  1 -> 17 [size =\"18703360\"]\n  1 -> 18 [size =\"18703360\"]\n  1 -> 20 [size =\"18703360\"]\n  2 [size=\"26463573\", alpha=\"0.09\", expect_size=\"7939072\"] \n  2 -> 17 [size =\"7939072\"]\n  2 -> 18 [size =\"7939072\"]\n  2 -> 19 [size =\"7939072\"]\n  2 -> 20 [size =\"7939072\"]\n  3 [size=\"159935147\", alpha=\"0.18\", expect_size=\"47980544\"] \n  3 -> 12 [size =\"47980544\"]\n  3 -> 16 [size =\"47980544\"]\n  3 -> 17 [size =\"47980544\"]\n  4 [size=\"152596480\", alpha=\"0.05\", expect_size=\"45778944\"] \n  4 -> 13 [size =\"45778944\"]\n  4 -> 17 [size =\"45778944\"]\n  4 -> 19 [size =\"45778944\"]\n  5 [size=\"130809173\", alpha=\"0.16\", expect_size=\"39242752\"] \n  5 -> 11 [size =\"39242752\"]\n  5 -> 13 [size =\"39242752\"]\n  5 -> 15 [size =\"39242752\"]\n  5 -> 17 [size =\"39242752\"]\n  5 -> 18 [size =\"39242752\"]\n  5 -> 19 [size =\"39242752\"]\n  6 [size=\"131696640\", alpha=\"0.12\", expect_size=\"39508992\"] \n  6 -> 13 [size =\"39508992\"]\n  6 -> 14 [size =\"39508992\"]\n  6 -> 15 [size =\"39508992\"]\n  6 -> 16 [size =\"39508992\"]\n  6 -> 18 [size =\"39508992\"]\n  6 -> 19 [size =\"39508992\"]\n  7 [size=\"88139093\", alpha=\"0.02\", expect_size=\"26441728\"] \n  7 -> 17 [size =\"26441728\"]\n  7 -> 18 [size =\"26441728\"]\n  7 -> 19 [size =\"26441728\"]\n  8 [size=\"48148480\", alpha=\"0.16\", expect_size=\"14444544\"] \n  8 -> 13 [size =\"14444544\"]\n  8 -> 14 [size =\"14444544\"]\n  8 -> 19 [size =\"14444544\"]\n  9 [size=\"43578027\", alpha=\"0.03\", expect_size=\"13073408\"] \n  9 -> 12 [size =\"13073408\"]\n  9 -> 15 [size =\"13073408\"]\n  10 [size=\"156675413\", alpha=\"0.16\", expect_size=\"47002624\"] \n  10 -> 13 [size =\"47002624\"]\n  10 -> 16 [size =\"47002624\"]\n  11 [size=\"87227733\", alpha=\"0.09\", expect_size=\"26168320\"] \n  11 -> 21 [size =\"26168320\"]\n  11 -> 23 [size =\"26168320\"]\n  11 -> 26 [size =\"26168320\"]\n  11 -> 27 [size =\"26168320\"]\n  11 -> 30 [size =\"26168320\"]\n  12 [size=\"96542720\", alpha=\"0.14\", expect_size=\"28962816\"] \n  12 -> 25 [size =\"28962816\"]\n  12 -> 26 [size =\"28962816\"]\n  12 -> 28 [size =\"28962816\"]\n  12 -> 30 [size =\"28962816\"]\n  12 -> 30 [size =\"28962816\"]\n  13 [size=\"164181333\", alpha=\"0.05\", expect_size=\"49254400\"] \n  13 -> 21 [size =\"49254400\"]\n  13 -> 25 [size =\"49254400\"]\n  13 -> 26 [size =\"49254400\"]\n  13 -> 29 [size =\"49254400\"]\n  14 [size=\"147630080\", alpha=\"0.17\", expect_size=\"44289024\"] \n  14 -> 22 [size =\"44289024\"]\n  14 -> 25 [size =\"44289024\"]\n  14 -> 26 [size =\"44289024\"]\n  14 -> 29 [size =\"44289024\"]\n  15 [size=\"26647893\", alpha=\"0.09\", expect_size=\"7994368\"] \n  15 -> 22 [size =\"7994368\"]\n  15 -> 26 [size =\"7994368\"]\n  16 [size=\"149906773\", alpha=\"0.10\", expect_size=\"44972032\"] \n  16 -> 23 [size =\"44972032\"]\n  16 -> 29 [size =\"44972032\"]\n  17 [size=\"83179520\", alpha=\"0.08\", expect_size=\"24953856\"] \n  17 -> 22 [size =\"24953856\"]\n  17 -> 23 [size =\"24953856\"]\n  17 -> 24 [size =\"24953856\"]\n  17 -> 25 [size =\"24953856\"]\n  17 -> 28 [size =\"24953856\"]\n  17 -> 29 [size =\"24953856\"]\n  18 [size=\"101212160\", alpha=\"0.07\", expect_size=\"30363648\"] \n  18 -> 23 [size =\"30363648\"]\n  18 -> 24 [size =\"30363648\"]\n  18 -> 25 [size =\"30363648\"]\n  18 -> 28 [size =\"30363648\"]\n  18 -> 30 [size =\"30363648\"]\n  19 [size=\"68887893\", alpha=\"0.16\", expect_size=\"20666368\"] \n  19 -> 22 [size =\"20666368\"]\n  19 -> 23 [size =\"20666368\"]\n  19 -> 24 [size =\"20666368\"]\n  19 -> 25 [size =\"20666368\"]\n  19 -> 28 [size =\"20666368\"]\n  19 -> 30 [size =\"20666368\"]\n  20 [size=\"94945280\", alpha=\"0.00\", expect_size=\"28483584\"] \n  20 -> 21 [size =\"28483584\"]\n  20 -> 24 [size =\"28483584\"]\n  20 -> 26 [size =\"28483584\"]\n  20 -> 30 [size =\"28483584\"]\n  21 [size=\"63054507\", alpha=\"0.09\", expect_size=\"18916352\"] \n  22 [size=\"130181120\", alpha=\"0.20\", expect_size=\"39054336\"] \n  23 [size=\"82858667\", alpha=\"0.09\", expect_size=\"24857600\"] \n  24 [size=\"120760320\", alpha=\"0.14\", expect_size=\"36228096\"] \n  25 [size=\"94791680\", alpha=\"0.15\", expect_size=\"28437504\"] \n  26 [size=\"166966613\", alpha=\"0.09\", expect_size=\"50089984\"] \n  27 [size=\"84572160\", alpha=\"0.13\", expect_size=\"25371648\"] \n  28 [size=\"146595840\", alpha=\"0.01\", expect_size=\"43978752\"] \n  29 [size=\"40502613\", alpha=\"0.12\", expect_size=\"12150784\"] \n  30 [size=\"168939520\", alpha=\"0.01\", expect_size=\"50681856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169533440\", alpha=\"0.09\", expect_size=\"50860032\"] \n  1 -> 21 [size =\"50860032\"]\n  1 -> 23 [size =\"50860032\"]\n  1 -> 26 [size =\"50860032\"]\n  2 [size=\"52394667\", alpha=\"0.13\", expect_size=\"15718400\"] \n  2 -> 21 [size =\"15718400\"]\n  2 -> 23 [size =\"15718400\"]\n  2 -> 26 [size =\"15718400\"]\n  2 -> 27 [size =\"15718400\"]\n  3 [size=\"72024747\", alpha=\"0.01\", expect_size=\"21607424\"] \n  3 -> 21 [size =\"21607424\"]\n  3 -> 27 [size =\"21607424\"]\n  4 [size=\"155999573\", alpha=\"0.05\", expect_size=\"46799872\"] \n  4 -> 21 [size =\"46799872\"]\n  4 -> 27 [size =\"46799872\"]\n  5 [size=\"128498347\", alpha=\"0.03\", expect_size=\"38549504\"] \n  5 -> 21 [size =\"38549504\"]\n  5 -> 23 [size =\"38549504\"]\n  5 -> 25 [size =\"38549504\"]\n  5 -> 26 [size =\"38549504\"]\n  5 -> 27 [size =\"38549504\"]\n  6 [size=\"29535573\", alpha=\"0.10\", expect_size=\"8860672\"] \n  6 -> 26 [size =\"8860672\"]\n  6 -> 27 [size =\"8860672\"]\n  7 [size=\"142219947\", alpha=\"0.01\", expect_size=\"42665984\"] \n  7 -> 21 [size =\"42665984\"]\n  7 -> 23 [size =\"42665984\"]\n  7 -> 26 [size =\"42665984\"]\n  7 -> 30 [size =\"42665984\"]\n  8 [size=\"132031147\", alpha=\"0.17\", expect_size=\"39609344\"] \n  8 -> 21 [size =\"39609344\"]\n  8 -> 22 [size =\"39609344\"]\n  8 -> 23 [size =\"39609344\"]\n  8 -> 25 [size =\"39609344\"]\n  8 -> 26 [size =\"39609344\"]\n  8 -> 29 [size =\"39609344\"]\n  8 -> 30 [size =\"39609344\"]\n  9 [size=\"84200107\", alpha=\"0.05\", expect_size=\"25260032\"] \n  9 -> 22 [size =\"25260032\"]\n  9 -> 23 [size =\"25260032\"]\n  9 -> 26 [size =\"25260032\"]\n  9 -> 27 [size =\"25260032\"]\n  9 -> 30 [size =\"25260032\"]\n  10 [size=\"34437120\", alpha=\"0.11\", expect_size=\"10331136\"] \n  10 -> 23 [size =\"10331136\"]\n  10 -> 23 [size =\"10331136\"]\n  10 -> 26 [size =\"10331136\"]\n  10 -> 28 [size =\"10331136\"]\n  11 [size=\"171461973\", alpha=\"0.16\", expect_size=\"51438592\"] \n  11 -> 22 [size =\"51438592\"]\n  11 -> 30 [size =\"51438592\"]\n  12 [size=\"82145280\", alpha=\"0.09\", expect_size=\"24643584\"] \n  12 -> 22 [size =\"24643584\"]\n  12 -> 23 [size =\"24643584\"]\n  12 -> 26 [size =\"24643584\"]\n  12 -> 30 [size =\"24643584\"]\n  13 [size=\"28395520\", alpha=\"0.12\", expect_size=\"8518656\"] \n  13 -> 22 [size =\"8518656\"]\n  13 -> 23 [size =\"8518656\"]\n  13 -> 25 [size =\"8518656\"]\n  13 -> 26 [size =\"8518656\"]\n  13 -> 30 [size =\"8518656\"]\n  14 [size=\"39618560\", alpha=\"0.13\", expect_size=\"11885568\"] \n  14 -> 21 [size =\"11885568\"]\n  14 -> 22 [size =\"11885568\"]\n  14 -> 26 [size =\"11885568\"]\n  14 -> 27 [size =\"11885568\"]\n  14 -> 30 [size =\"11885568\"]\n  15 [size=\"79073280\", alpha=\"0.15\", expect_size=\"23721984\"] \n  15 -> 21 [size =\"23721984\"]\n  15 -> 22 [size =\"23721984\"]\n  15 -> 24 [size =\"23721984\"]\n  15 -> 26 [size =\"23721984\"]\n  15 -> 30 [size =\"23721984\"]\n  16 [size=\"105963520\", alpha=\"0.01\", expect_size=\"31789056\"] \n  16 -> 21 [size =\"31789056\"]\n  16 -> 22 [size =\"31789056\"]\n  16 -> 25 [size =\"31789056\"]\n  17 [size=\"28218027\", alpha=\"0.19\", expect_size=\"8465408\"] \n  17 -> 21 [size =\"8465408\"]\n  17 -> 22 [size =\"8465408\"]\n  17 -> 23 [size =\"8465408\"]\n  17 -> 29 [size =\"8465408\"]\n  17 -> 30 [size =\"8465408\"]\n  18 [size=\"33006933\", alpha=\"0.07\", expect_size=\"9902080\"] \n  18 -> 22 [size =\"9902080\"]\n  18 -> 22 [size =\"9902080\"]\n  18 -> 24 [size =\"9902080\"]\n  18 -> 25 [size =\"9902080\"]\n  18 -> 27 [size =\"9902080\"]\n  18 -> 28 [size =\"9902080\"]\n  18 -> 30 [size =\"9902080\"]\n  19 [size=\"170468693\", alpha=\"0.02\", expect_size=\"51140608\"] \n  19 -> 22 [size =\"51140608\"]\n  19 -> 26 [size =\"51140608\"]\n  19 -> 29 [size =\"51140608\"]\n  20 [size=\"56415573\", alpha=\"0.17\", expect_size=\"16924672\"] \n  20 -> 30 [size =\"16924672\"]\n  21 [size=\"142107307\", alpha=\"0.11\", expect_size=\"42632192\"] \n  22 [size=\"109407573\", alpha=\"0.09\", expect_size=\"32822272\"] \n  23 [size=\"20439040\", alpha=\"0.15\", expect_size=\"6131712\"] \n  24 [size=\"114251093\", alpha=\"0.18\", expect_size=\"34275328\"] \n  25 [size=\"61115733\", alpha=\"0.15\", expect_size=\"18334720\"] \n  26 [size=\"24111787\", alpha=\"0.14\", expect_size=\"7233536\"] \n  27 [size=\"35788800\", alpha=\"0.08\", expect_size=\"10736640\"] \n  28 [size=\"26415787\", alpha=\"0.18\", expect_size=\"7924736\"] \n  29 [size=\"78148267\", alpha=\"0.15\", expect_size=\"23444480\"] \n  30 [size=\"91767467\", alpha=\"0.15\", expect_size=\"27530240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61077504\", alpha=\"0.11\", expect_size=\"30538752\"] \n  1 -> 2 [size =\"30538752\"]\n  2 [size=\"14043136\", alpha=\"0.04\", expect_size=\"7021568\"] \n  2 -> 3 [size =\"7021568\"]\n  3 [size=\"61585408\", alpha=\"0.01\", expect_size=\"30792704\"] \n  3 -> 4 [size =\"30792704\"]\n  4 [size=\"82075648\", alpha=\"0.16\", expect_size=\"41037824\"] \n  4 -> 5 [size =\"41037824\"]\n  5 [size=\"20549632\", alpha=\"0.11\", expect_size=\"10274816\"] \n  5 -> 6 [size =\"10274816\"]\n  6 [size=\"55592960\", alpha=\"0.10\", expect_size=\"27796480\"] \n  6 -> 7 [size =\"27796480\"]\n  7 [size=\"46348288\", alpha=\"0.10\", expect_size=\"23174144\"] \n  7 -> 8 [size =\"23174144\"]\n  8 [size=\"27971584\", alpha=\"0.00\", expect_size=\"13985792\"] \n  8 -> 9 [size =\"13985792\"]\n  9 [size=\"74715136\", alpha=\"0.07\", expect_size=\"37357568\"] \n  9 -> 10 [size =\"37357568\"]\n  10 [size=\"38324224\", alpha=\"0.07\", expect_size=\"19162112\"] \n  10 -> 11 [size =\"19162112\"]\n  11 [size=\"18438144\", alpha=\"0.07\", expect_size=\"9219072\"] \n  11 -> 12 [size =\"9219072\"]\n  12 [size=\"70817792\", alpha=\"0.17\", expect_size=\"35408896\"] \n  12 -> 13 [size =\"35408896\"]\n  13 [size=\"90294272\", alpha=\"0.09\", expect_size=\"45147136\"] \n  13 -> 14 [size =\"45147136\"]\n  14 [size=\"96333824\", alpha=\"0.15\", expect_size=\"48166912\"] \n  14 -> 15 [size =\"48166912\"]\n  15 [size=\"77811712\", alpha=\"0.19\", expect_size=\"38905856\"] \n  15 -> 16 [size =\"38905856\"]\n  16 [size=\"36759552\", alpha=\"0.19\", expect_size=\"18379776\"] \n  16 -> 17 [size =\"18379776\"]\n  17 [size=\"82284544\", alpha=\"0.18\", expect_size=\"41142272\"] \n  17 -> 18 [size =\"41142272\"]\n  18 [size=\"35964928\", alpha=\"0.06\", expect_size=\"17982464\"] \n  18 -> 19 [size =\"17982464\"]\n  19 [size=\"37220352\", alpha=\"0.04\", expect_size=\"18610176\"] \n  19 -> 20 [size =\"18610176\"]\n  20 [size=\"71702528\", alpha=\"0.11\", expect_size=\"35851264\"] \n  20 -> 21 [size =\"35851264\"]\n  21 [size=\"12322816\", alpha=\"0.10\", expect_size=\"6161408\"] \n  21 -> 22 [size =\"6161408\"]\n  22 [size=\"43436032\", alpha=\"0.09\", expect_size=\"21718016\"] \n  22 -> 23 [size =\"21718016\"]\n  23 [size=\"28504064\", alpha=\"0.19\", expect_size=\"14252032\"] \n  23 -> 24 [size =\"14252032\"]\n  24 [size=\"68757504\", alpha=\"0.05\", expect_size=\"34378752\"] \n  24 -> 25 [size =\"34378752\"]\n  25 [size=\"45850624\", alpha=\"0.12\", expect_size=\"22925312\"] \n  25 -> 26 [size =\"22925312\"]\n  26 [size=\"39778304\", alpha=\"0.09\", expect_size=\"19889152\"] \n  26 -> 27 [size =\"19889152\"]\n  27 [size=\"37201920\", alpha=\"0.14\", expect_size=\"18600960\"] \n  27 -> 28 [size =\"18600960\"]\n  28 [size=\"25919488\", alpha=\"0.02\", expect_size=\"12959744\"] \n  28 -> 29 [size =\"12959744\"]\n  29 [size=\"56317952\", alpha=\"0.04\", expect_size=\"28158976\"] \n  29 -> 30 [size =\"28158976\"]\n  30 [size=\"73523200\", alpha=\"0.12\", expect_size=\"36761600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42375680\", alpha=\"0.07\", expect_size=\"16950272\"] \n  1 -> 5 [size =\"16950272\"]\n  1 -> 7 [size =\"16950272\"]\n  2 [size=\"23703040\", alpha=\"0.07\", expect_size=\"9481216\"] \n  2 -> 6 [size =\"9481216\"]\n  3 [size=\"113799680\", alpha=\"0.00\", expect_size=\"45519872\"] \n  3 -> 5 [size =\"45519872\"]\n  3 -> 7 [size =\"45519872\"]\n  4 [size=\"16990720\", alpha=\"0.14\", expect_size=\"6796288\"] \n  5 [size=\"51752960\", alpha=\"0.09\", expect_size=\"20701184\"] \n  5 -> 10 [size =\"20701184\"]\n  5 -> 11 [size =\"20701184\"]\n  6 [size=\"123246080\", alpha=\"0.17\", expect_size=\"49298432\"] \n  6 -> 8 [size =\"49298432\"]\n  7 [size=\"51955200\", alpha=\"0.13\", expect_size=\"20782080\"] \n  7 -> 9 [size =\"20782080\"]\n  7 -> 10 [size =\"20782080\"]\n  7 -> 12 [size =\"20782080\"]\n  8 [size=\"66867200\", alpha=\"0.19\", expect_size=\"26746880\"] \n  8 -> 13 [size =\"26746880\"]\n  8 -> 16 [size =\"26746880\"]\n  8 -> 17 [size =\"26746880\"]\n  9 [size=\"124136960\", alpha=\"0.11\", expect_size=\"49654784\"] \n  9 -> 13 [size =\"49654784\"]\n  9 -> 15 [size =\"49654784\"]\n  10 [size=\"110704640\", alpha=\"0.14\", expect_size=\"44281856\"] \n  10 -> 15 [size =\"44281856\"]\n  11 [size=\"35525120\", alpha=\"0.03\", expect_size=\"14210048\"] \n  11 -> 14 [size =\"14210048\"]\n  11 -> 17 [size =\"14210048\"]\n  11 -> 18 [size =\"14210048\"]\n  12 [size=\"74419200\", alpha=\"0.07\", expect_size=\"29767680\"] \n  12 -> 14 [size =\"29767680\"]\n  12 -> 17 [size =\"29767680\"]\n  12 -> 18 [size =\"29767680\"]\n  13 [size=\"117644800\", alpha=\"0.01\", expect_size=\"47057920\"] \n  13 -> 19 [size =\"47057920\"]\n  13 -> 20 [size =\"47057920\"]\n  14 [size=\"119982080\", alpha=\"0.13\", expect_size=\"47992832\"] \n  14 -> 20 [size =\"47992832\"]\n  14 -> 20 [size =\"47992832\"]\n  14 -> 21 [size =\"47992832\"]\n  15 [size=\"83875840\", alpha=\"0.12\", expect_size=\"33550336\"] \n  15 -> 22 [size =\"33550336\"]\n  16 [size=\"21665280\", alpha=\"0.12\", expect_size=\"8666112\"] \n  16 -> 21 [size =\"8666112\"]\n  16 -> 23 [size =\"8666112\"]\n  16 -> 24 [size =\"8666112\"]\n  17 [size=\"121448960\", alpha=\"0.09\", expect_size=\"48579584\"] \n  18 [size=\"79815680\", alpha=\"0.03\", expect_size=\"31926272\"] \n  19 [size=\"76224000\", alpha=\"0.02\", expect_size=\"30489600\"] \n  19 -> 26 [size =\"30489600\"]\n  20 [size=\"22202880\", alpha=\"0.17\", expect_size=\"8881152\"] \n  20 -> 26 [size =\"8881152\"]\n  20 -> 27 [size =\"8881152\"]\n  21 [size=\"105530880\", alpha=\"0.16\", expect_size=\"42212352\"] \n  21 -> 26 [size =\"42212352\"]\n  21 -> 27 [size =\"42212352\"]\n  22 [size=\"125004800\", alpha=\"0.18\", expect_size=\"50001920\"] \n  22 -> 25 [size =\"50001920\"]\n  23 [size=\"50775040\", alpha=\"0.17\", expect_size=\"20310016\"] \n  24 [size=\"58007040\", alpha=\"0.16\", expect_size=\"23202816\"] \n  25 [size=\"18880000\", alpha=\"0.01\", expect_size=\"7552000\"] \n  25 -> 30 [size =\"7552000\"]\n  26 [size=\"90636800\", alpha=\"0.06\", expect_size=\"36254720\"] \n  26 -> 28 [size =\"36254720\"]\n  26 -> 29 [size =\"36254720\"]\n  27 [size=\"41251840\", alpha=\"0.17\", expect_size=\"16500736\"] \n  27 -> 30 [size =\"16500736\"]\n  28 [size=\"91724800\", alpha=\"0.17\", expect_size=\"36689920\"] \n  29 [size=\"111360000\", alpha=\"0.16\", expect_size=\"44544000\"] \n  30 [size=\"123450880\", alpha=\"0.12\", expect_size=\"49380352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66111488\", alpha=\"0.17\", expect_size=\"33055744\"] \n  1 -> 3 [size =\"33055744\"]\n  2 [size=\"31311872\", alpha=\"0.16\", expect_size=\"15655936\"] \n  3 [size=\"83355648\", alpha=\"0.13\", expect_size=\"41677824\"] \n  3 -> 4 [size =\"41677824\"]\n  4 [size=\"92876800\", alpha=\"0.07\", expect_size=\"46438400\"] \n  4 -> 5 [size =\"46438400\"]\n  5 [size=\"95178752\", alpha=\"0.07\", expect_size=\"47589376\"] \n  5 -> 6 [size =\"47589376\"]\n  5 -> 7 [size =\"47589376\"]\n  6 [size=\"63948800\", alpha=\"0.09\", expect_size=\"31974400\"] \n  6 -> 9 [size =\"31974400\"]\n  7 [size=\"95942656\", alpha=\"0.09\", expect_size=\"47971328\"] \n  7 -> 8 [size =\"47971328\"]\n  8 [size=\"11921408\", alpha=\"0.03\", expect_size=\"5960704\"] \n  9 [size=\"102342656\", alpha=\"0.11\", expect_size=\"51171328\"] \n  9 -> 10 [size =\"51171328\"]\n  10 [size=\"45461504\", alpha=\"0.03\", expect_size=\"22730752\"] \n  10 -> 11 [size =\"22730752\"]\n  11 [size=\"12673024\", alpha=\"0.15\", expect_size=\"6336512\"] \n  11 -> 12 [size =\"6336512\"]\n  11 -> 13 [size =\"6336512\"]\n  12 [size=\"92018688\", alpha=\"0.01\", expect_size=\"46009344\"] \n  12 -> 14 [size =\"46009344\"]\n  13 [size=\"72175616\", alpha=\"0.02\", expect_size=\"36087808\"] \n  14 [size=\"38479872\", alpha=\"0.06\", expect_size=\"19239936\"] \n  14 -> 15 [size =\"19239936\"]\n  15 [size=\"71102464\", alpha=\"0.14\", expect_size=\"35551232\"] \n  15 -> 16 [size =\"35551232\"]\n  15 -> 17 [size =\"35551232\"]\n  16 [size=\"11900928\", alpha=\"0.14\", expect_size=\"5950464\"] \n  16 -> 18 [size =\"5950464\"]\n  16 -> 19 [size =\"5950464\"]\n  17 [size=\"55154688\", alpha=\"0.05\", expect_size=\"27577344\"] \n  18 [size=\"98433024\", alpha=\"0.07\", expect_size=\"49216512\"] \n  19 [size=\"16263168\", alpha=\"0.03\", expect_size=\"8131584\"] \n  19 -> 20 [size =\"8131584\"]\n  19 -> 21 [size =\"8131584\"]\n  20 [size=\"70111232\", alpha=\"0.11\", expect_size=\"35055616\"] \n  21 [size=\"84637696\", alpha=\"0.11\", expect_size=\"42318848\"] \n  21 -> 22 [size =\"42318848\"]\n  21 -> 23 [size =\"42318848\"]\n  22 [size=\"59998208\", alpha=\"0.16\", expect_size=\"29999104\"] \n  23 [size=\"64626688\", alpha=\"0.16\", expect_size=\"32313344\"] \n  23 -> 24 [size =\"32313344\"]\n  24 [size=\"73449472\", alpha=\"0.14\", expect_size=\"36724736\"] \n  24 -> 25 [size =\"36724736\"]\n  25 [size=\"102051840\", alpha=\"0.09\", expect_size=\"51025920\"] \n  25 -> 26 [size =\"51025920\"]\n  25 -> 27 [size =\"51025920\"]\n  26 [size=\"73021440\", alpha=\"0.16\", expect_size=\"36510720\"] \n  26 -> 28 [size =\"36510720\"]\n  27 [size=\"43751424\", alpha=\"0.01\", expect_size=\"21875712\"] \n  27 -> 29 [size =\"21875712\"]\n  28 [size=\"68249600\", alpha=\"0.06\", expect_size=\"34124800\"] \n  29 [size=\"102404096\", alpha=\"0.10\", expect_size=\"51202048\"] \n  29 -> 30 [size =\"51202048\"]\n  30 [size=\"21395456\", alpha=\"0.03\", expect_size=\"10697728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50589696\", alpha=\"0.13\", expect_size=\"25294848\"] \n  1 -> 5 [size =\"25294848\"]\n  1 -> 6 [size =\"25294848\"]\n  1 -> 7 [size =\"25294848\"]\n  1 -> 8 [size =\"25294848\"]\n  2 [size=\"69359616\", alpha=\"0.19\", expect_size=\"34679808\"] \n  2 -> 5 [size =\"34679808\"]\n  2 -> 7 [size =\"34679808\"]\n  2 -> 7 [size =\"34679808\"]\n  3 [size=\"62967808\", alpha=\"0.17\", expect_size=\"31483904\"] \n  3 -> 6 [size =\"31483904\"]\n  4 [size=\"81637376\", alpha=\"0.09\", expect_size=\"40818688\"] \n  5 [size=\"101890048\", alpha=\"0.14\", expect_size=\"50945024\"] \n  5 -> 9 [size =\"50945024\"]\n  5 -> 10 [size =\"50945024\"]\n  6 [size=\"80062464\", alpha=\"0.05\", expect_size=\"40031232\"] \n  6 -> 10 [size =\"40031232\"]\n  6 -> 12 [size =\"40031232\"]\n  6 -> 13 [size =\"40031232\"]\n  7 [size=\"32886784\", alpha=\"0.18\", expect_size=\"16443392\"] \n  7 -> 11 [size =\"16443392\"]\n  7 -> 12 [size =\"16443392\"]\n  8 [size=\"87377920\", alpha=\"0.08\", expect_size=\"43688960\"] \n  8 -> 12 [size =\"43688960\"]\n  9 [size=\"32317440\", alpha=\"0.04\", expect_size=\"16158720\"] \n  9 -> 14 [size =\"16158720\"]\n  10 [size=\"47755264\", alpha=\"0.15\", expect_size=\"23877632\"] \n  10 -> 14 [size =\"23877632\"]\n  10 -> 16 [size =\"23877632\"]\n  11 [size=\"76361728\", alpha=\"0.18\", expect_size=\"38180864\"] \n  11 -> 14 [size =\"38180864\"]\n  11 -> 15 [size =\"38180864\"]\n  11 -> 16 [size =\"38180864\"]\n  12 [size=\"44648448\", alpha=\"0.05\", expect_size=\"22324224\"] \n  12 -> 14 [size =\"22324224\"]\n  12 -> 16 [size =\"22324224\"]\n  13 [size=\"41465856\", alpha=\"0.08\", expect_size=\"20732928\"] \n  13 -> 16 [size =\"20732928\"]\n  14 [size=\"27484160\", alpha=\"0.11\", expect_size=\"13742080\"] \n  14 -> 18 [size =\"13742080\"]\n  14 -> 20 [size =\"13742080\"]\n  14 -> 21 [size =\"13742080\"]\n  15 [size=\"70809600\", alpha=\"0.06\", expect_size=\"35404800\"] \n  15 -> 17 [size =\"35404800\"]\n  15 -> 18 [size =\"35404800\"]\n  15 -> 20 [size =\"35404800\"]\n  15 -> 21 [size =\"35404800\"]\n  16 [size=\"40646656\", alpha=\"0.15\", expect_size=\"20323328\"] \n  16 -> 17 [size =\"20323328\"]\n  16 -> 18 [size =\"20323328\"]\n  16 -> 19 [size =\"20323328\"]\n  16 -> 20 [size =\"20323328\"]\n  17 [size=\"64548864\", alpha=\"0.08\", expect_size=\"32274432\"] \n  17 -> 22 [size =\"32274432\"]\n  17 -> 26 [size =\"32274432\"]\n  18 [size=\"56612864\", alpha=\"0.18\", expect_size=\"28306432\"] \n  18 -> 22 [size =\"28306432\"]\n  18 -> 26 [size =\"28306432\"]\n  19 [size=\"96045056\", alpha=\"0.14\", expect_size=\"48022528\"] \n  19 -> 22 [size =\"48022528\"]\n  19 -> 23 [size =\"48022528\"]\n  20 [size=\"20328448\", alpha=\"0.02\", expect_size=\"10164224\"] \n  20 -> 22 [size =\"10164224\"]\n  20 -> 23 [size =\"10164224\"]\n  20 -> 25 [size =\"10164224\"]\n  20 -> 26 [size =\"10164224\"]\n  21 [size=\"90298368\", alpha=\"0.17\", expect_size=\"45149184\"] \n  21 -> 23 [size =\"45149184\"]\n  21 -> 24 [size =\"45149184\"]\n  22 [size=\"82522112\", alpha=\"0.06\", expect_size=\"41261056\"] \n  22 -> 27 [size =\"41261056\"]\n  22 -> 28 [size =\"41261056\"]\n  22 -> 29 [size =\"41261056\"]\n  22 -> 30 [size =\"41261056\"]\n  23 [size=\"13215744\", alpha=\"0.05\", expect_size=\"6607872\"] \n  23 -> 27 [size =\"6607872\"]\n  23 -> 29 [size =\"6607872\"]\n  24 [size=\"52514816\", alpha=\"0.19\", expect_size=\"26257408\"] \n  24 -> 27 [size =\"26257408\"]\n  24 -> 28 [size =\"26257408\"]\n  24 -> 29 [size =\"26257408\"]\n  25 [size=\"12253184\", alpha=\"0.13\", expect_size=\"6126592\"] \n  25 -> 27 [size =\"6126592\"]\n  25 -> 28 [size =\"6126592\"]\n  25 -> 29 [size =\"6126592\"]\n  25 -> 30 [size =\"6126592\"]\n  26 [size=\"40034304\", alpha=\"0.02\", expect_size=\"20017152\"] \n  26 -> 27 [size =\"20017152\"]\n  27 [size=\"15697920\", alpha=\"0.15\", expect_size=\"7848960\"] \n  28 [size=\"54980608\", alpha=\"0.05\", expect_size=\"27490304\"] \n  29 [size=\"45238272\", alpha=\"0.19\", expect_size=\"22619136\"] \n  30 [size=\"19257344\", alpha=\"0.01\", expect_size=\"9628672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123432960\", alpha=\"0.16\", expect_size=\"37029888\"] \n  1 -> 2 [size =\"37029888\"]\n  2 [size=\"27313493\", alpha=\"0.04\", expect_size=\"8194048\"] \n  2 -> 3 [size =\"8194048\"]\n  3 [size=\"104349013\", alpha=\"0.05\", expect_size=\"31304704\"] \n  3 -> 4 [size =\"31304704\"]\n  4 [size=\"150309547\", alpha=\"0.08\", expect_size=\"45092864\"] \n  4 -> 5 [size =\"45092864\"]\n  5 [size=\"20974933\", alpha=\"0.11\", expect_size=\"6292480\"] \n  5 -> 6 [size =\"6292480\"]\n  6 [size=\"43147947\", alpha=\"0.03\", expect_size=\"12944384\"] \n  6 -> 7 [size =\"12944384\"]\n  7 [size=\"152241493\", alpha=\"0.20\", expect_size=\"45672448\"] \n  7 -> 8 [size =\"45672448\"]\n  8 [size=\"132645547\", alpha=\"0.13\", expect_size=\"39793664\"] \n  8 -> 9 [size =\"39793664\"]\n  9 [size=\"85688320\", alpha=\"0.07\", expect_size=\"25706496\"] \n  9 -> 10 [size =\"25706496\"]\n  10 [size=\"23934293\", alpha=\"0.17\", expect_size=\"7180288\"] \n  10 -> 11 [size =\"7180288\"]\n  11 [size=\"43533653\", alpha=\"0.11\", expect_size=\"13060096\"] \n  11 -> 12 [size =\"13060096\"]\n  12 [size=\"169615360\", alpha=\"0.10\", expect_size=\"50884608\"] \n  12 -> 13 [size =\"50884608\"]\n  13 [size=\"44953600\", alpha=\"0.20\", expect_size=\"13486080\"] \n  13 -> 14 [size =\"13486080\"]\n  14 [size=\"80752640\", alpha=\"0.07\", expect_size=\"24225792\"] \n  14 -> 15 [size =\"24225792\"]\n  15 [size=\"140018347\", alpha=\"0.19\", expect_size=\"42005504\"] \n  15 -> 16 [size =\"42005504\"]\n  16 [size=\"68355413\", alpha=\"0.07\", expect_size=\"20506624\"] \n  16 -> 17 [size =\"20506624\"]\n  17 [size=\"95307093\", alpha=\"0.13\", expect_size=\"28592128\"] \n  17 -> 18 [size =\"28592128\"]\n  18 [size=\"91477333\", alpha=\"0.14\", expect_size=\"27443200\"] \n  18 -> 19 [size =\"27443200\"]\n  19 [size=\"33812480\", alpha=\"0.20\", expect_size=\"10143744\"] \n  19 -> 20 [size =\"10143744\"]\n  20 [size=\"88470187\", alpha=\"0.12\", expect_size=\"26541056\"] \n  20 -> 21 [size =\"26541056\"]\n  21 [size=\"67938987\", alpha=\"0.18\", expect_size=\"20381696\"] \n  21 -> 22 [size =\"20381696\"]\n  22 [size=\"151210667\", alpha=\"0.05\", expect_size=\"45363200\"] \n  22 -> 23 [size =\"45363200\"]\n  23 [size=\"72372907\", alpha=\"0.03\", expect_size=\"21711872\"] \n  23 -> 24 [size =\"21711872\"]\n  24 [size=\"72362667\", alpha=\"0.19\", expect_size=\"21708800\"] \n  24 -> 25 [size =\"21708800\"]\n  25 [size=\"126187520\", alpha=\"0.14\", expect_size=\"37856256\"] \n  25 -> 26 [size =\"37856256\"]\n  26 [size=\"120309760\", alpha=\"0.13\", expect_size=\"36092928\"] \n  26 -> 27 [size =\"36092928\"]\n  27 [size=\"20439040\", alpha=\"0.09\", expect_size=\"6131712\"] \n  27 -> 28 [size =\"6131712\"]\n  28 [size=\"118869333\", alpha=\"0.19\", expect_size=\"35660800\"] \n  28 -> 29 [size =\"35660800\"]\n  29 [size=\"70174720\", alpha=\"0.19\", expect_size=\"21052416\"] \n  29 -> 30 [size =\"21052416\"]\n  30 [size=\"67829760\", alpha=\"0.19\", expect_size=\"20348928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21114880\", alpha=\"0.00\", expect_size=\"10557440\"] \n  1 -> 7 [size =\"10557440\"]\n  2 [size=\"73775104\", alpha=\"0.12\", expect_size=\"36887552\"] \n  2 -> 7 [size =\"36887552\"]\n  3 [size=\"36321280\", alpha=\"0.04\", expect_size=\"18160640\"] \n  3 -> 7 [size =\"18160640\"]\n  3 -> 8 [size =\"18160640\"]\n  4 [size=\"56997888\", alpha=\"0.15\", expect_size=\"28498944\"] \n  4 -> 7 [size =\"28498944\"]\n  5 [size=\"22822912\", alpha=\"0.08\", expect_size=\"11411456\"] \n  5 -> 7 [size =\"11411456\"]\n  5 -> 8 [size =\"11411456\"]\n  6 [size=\"63907840\", alpha=\"0.04\", expect_size=\"31953920\"] \n  6 -> 7 [size =\"31953920\"]\n  7 [size=\"74225664\", alpha=\"0.04\", expect_size=\"37112832\"] \n  7 -> 9 [size =\"37112832\"]\n  7 -> 10 [size =\"37112832\"]\n  7 -> 11 [size =\"37112832\"]\n  7 -> 12 [size =\"37112832\"]\n  7 -> 13 [size =\"37112832\"]\n  7 -> 14 [size =\"37112832\"]\n  7 -> 15 [size =\"37112832\"]\n  8 [size=\"77449216\", alpha=\"0.08\", expect_size=\"38724608\"] \n  8 -> 9 [size =\"38724608\"]\n  8 -> 10 [size =\"38724608\"]\n  8 -> 11 [size =\"38724608\"]\n  8 -> 12 [size =\"38724608\"]\n  8 -> 13 [size =\"38724608\"]\n  8 -> 14 [size =\"38724608\"]\n  9 [size=\"63725568\", alpha=\"0.08\", expect_size=\"31862784\"] \n  9 -> 18 [size =\"31862784\"]\n  9 -> 21 [size =\"31862784\"]\n  9 -> 22 [size =\"31862784\"]\n  10 [size=\"58951680\", alpha=\"0.17\", expect_size=\"29475840\"] \n  10 -> 16 [size =\"29475840\"]\n  10 -> 17 [size =\"29475840\"]\n  10 -> 22 [size =\"29475840\"]\n  11 [size=\"82892800\", alpha=\"0.05\", expect_size=\"41446400\"] \n  11 -> 16 [size =\"41446400\"]\n  11 -> 19 [size =\"41446400\"]\n  11 -> 22 [size =\"41446400\"]\n  12 [size=\"83875840\", alpha=\"0.05\", expect_size=\"41937920\"] \n  12 -> 16 [size =\"41937920\"]\n  12 -> 17 [size =\"41937920\"]\n  12 -> 19 [size =\"41937920\"]\n  12 -> 20 [size =\"41937920\"]\n  12 -> 22 [size =\"41937920\"]\n  13 [size=\"44324864\", alpha=\"0.08\", expect_size=\"22162432\"] \n  13 -> 16 [size =\"22162432\"]\n  13 -> 18 [size =\"22162432\"]\n  13 -> 21 [size =\"22162432\"]\n  13 -> 22 [size =\"22162432\"]\n  13 -> 22 [size =\"22162432\"]\n  14 [size=\"63361024\", alpha=\"0.12\", expect_size=\"31680512\"] \n  14 -> 16 [size =\"31680512\"]\n  14 -> 18 [size =\"31680512\"]\n  15 [size=\"39368704\", alpha=\"0.13\", expect_size=\"19684352\"] \n  15 -> 16 [size =\"19684352\"]\n  15 -> 22 [size =\"19684352\"]\n  16 [size=\"78446592\", alpha=\"0.12\", expect_size=\"39223296\"] \n  16 -> 25 [size =\"39223296\"]\n  17 [size=\"96565248\", alpha=\"0.03\", expect_size=\"48282624\"] \n  18 [size=\"23185408\", alpha=\"0.08\", expect_size=\"11592704\"] \n  18 -> 24 [size =\"11592704\"]\n  19 [size=\"62015488\", alpha=\"0.13\", expect_size=\"31007744\"] \n  19 -> 23 [size =\"31007744\"]\n  19 -> 24 [size =\"31007744\"]\n  20 [size=\"100495360\", alpha=\"0.04\", expect_size=\"50247680\"] \n  20 -> 23 [size =\"50247680\"]\n  20 -> 25 [size =\"50247680\"]\n  21 [size=\"85575680\", alpha=\"0.17\", expect_size=\"42787840\"] \n  21 -> 23 [size =\"42787840\"]\n  22 [size=\"14657536\", alpha=\"0.04\", expect_size=\"7328768\"] \n  23 [size=\"38660096\", alpha=\"0.16\", expect_size=\"19330048\"] \n  23 -> 26 [size =\"19330048\"]\n  23 -> 27 [size =\"19330048\"]\n  23 -> 28 [size =\"19330048\"]\n  24 [size=\"74883072\", alpha=\"0.18\", expect_size=\"37441536\"] \n  24 -> 26 [size =\"37441536\"]\n  24 -> 29 [size =\"37441536\"]\n  25 [size=\"38309888\", alpha=\"0.03\", expect_size=\"19154944\"] \n  25 -> 26 [size =\"19154944\"]\n  25 -> 27 [size =\"19154944\"]\n  25 -> 28 [size =\"19154944\"]\n  25 -> 29 [size =\"19154944\"]\n  26 [size=\"98748416\", alpha=\"0.18\", expect_size=\"49374208\"] \n  27 [size=\"60385280\", alpha=\"0.08\", expect_size=\"30192640\"] \n  27 -> 30 [size =\"30192640\"]\n  28 [size=\"72790016\", alpha=\"0.11\", expect_size=\"36395008\"] \n  28 -> 30 [size =\"36395008\"]\n  29 [size=\"15859712\", alpha=\"0.06\", expect_size=\"7929856\"] \n  29 -> 30 [size =\"7929856\"]\n  30 [size=\"78827520\", alpha=\"0.11\", expect_size=\"39413760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29519360\", alpha=\"0.09\", expect_size=\"11807744\"] \n  1 -> 18 [size =\"11807744\"]\n  1 -> 20 [size =\"11807744\"]\n  1 -> 21 [size =\"11807744\"]\n  1 -> 22 [size =\"11807744\"]\n  2 [size=\"95308800\", alpha=\"0.04\", expect_size=\"38123520\"] \n  2 -> 11 [size =\"38123520\"]\n  2 -> 12 [size =\"38123520\"]\n  2 -> 15 [size =\"38123520\"]\n  2 -> 17 [size =\"38123520\"]\n  2 -> 18 [size =\"38123520\"]\n  2 -> 19 [size =\"38123520\"]\n  2 -> 22 [size =\"38123520\"]\n  2 -> 23 [size =\"38123520\"]\n  3 [size=\"93660160\", alpha=\"0.18\", expect_size=\"37464064\"] \n  3 -> 11 [size =\"37464064\"]\n  3 -> 12 [size =\"37464064\"]\n  3 -> 14 [size =\"37464064\"]\n  3 -> 16 [size =\"37464064\"]\n  3 -> 17 [size =\"37464064\"]\n  3 -> 18 [size =\"37464064\"]\n  3 -> 19 [size =\"37464064\"]\n  3 -> 21 [size =\"37464064\"]\n  3 -> 22 [size =\"37464064\"]\n  4 [size=\"115691520\", alpha=\"0.02\", expect_size=\"46276608\"] \n  4 -> 16 [size =\"46276608\"]\n  4 -> 17 [size =\"46276608\"]\n  4 -> 18 [size =\"46276608\"]\n  4 -> 22 [size =\"46276608\"]\n  4 -> 23 [size =\"46276608\"]\n  5 [size=\"54077440\", alpha=\"0.03\", expect_size=\"21630976\"] \n  5 -> 12 [size =\"21630976\"]\n  5 -> 17 [size =\"21630976\"]\n  5 -> 21 [size =\"21630976\"]\n  6 [size=\"124520960\", alpha=\"0.10\", expect_size=\"49808384\"] \n  6 -> 12 [size =\"49808384\"]\n  6 -> 21 [size =\"49808384\"]\n  6 -> 21 [size =\"49808384\"]\n  6 -> 22 [size =\"49808384\"]\n  7 [size=\"126410240\", alpha=\"0.03\", expect_size=\"50564096\"] \n  7 -> 12 [size =\"50564096\"]\n  7 -> 18 [size =\"50564096\"]\n  7 -> 21 [size =\"50564096\"]\n  7 -> 22 [size =\"50564096\"]\n  7 -> 23 [size =\"50564096\"]\n  8 [size=\"27425280\", alpha=\"0.02\", expect_size=\"10970112\"] \n  8 -> 12 [size =\"10970112\"]\n  8 -> 18 [size =\"10970112\"]\n  8 -> 19 [size =\"10970112\"]\n  8 -> 20 [size =\"10970112\"]\n  8 -> 21 [size =\"10970112\"]\n  8 -> 22 [size =\"10970112\"]\n  8 -> 23 [size =\"10970112\"]\n  9 [size=\"57976320\", alpha=\"0.03\", expect_size=\"23190528\"] \n  9 -> 12 [size =\"23190528\"]\n  9 -> 13 [size =\"23190528\"]\n  9 -> 14 [size =\"23190528\"]\n  9 -> 16 [size =\"23190528\"]\n  9 -> 20 [size =\"23190528\"]\n  9 -> 21 [size =\"23190528\"]\n  9 -> 22 [size =\"23190528\"]\n  10 [size=\"125153280\", alpha=\"0.05\", expect_size=\"50061312\"] \n  10 -> 12 [size =\"50061312\"]\n  10 -> 18 [size =\"50061312\"]\n  10 -> 20 [size =\"50061312\"]\n  10 -> 22 [size =\"50061312\"]\n  10 -> 23 [size =\"50061312\"]\n  11 [size=\"17512960\", alpha=\"0.12\", expect_size=\"7005184\"] \n  11 -> 24 [size =\"7005184\"]\n  11 -> 25 [size =\"7005184\"]\n  11 -> 27 [size =\"7005184\"]\n  11 -> 28 [size =\"7005184\"]\n  12 [size=\"73346560\", alpha=\"0.12\", expect_size=\"29338624\"] \n  12 -> 25 [size =\"29338624\"]\n  12 -> 25 [size =\"29338624\"]\n  13 [size=\"94220800\", alpha=\"0.09\", expect_size=\"37688320\"] \n  13 -> 27 [size =\"37688320\"]\n  14 [size=\"80092160\", alpha=\"0.11\", expect_size=\"32036864\"] \n  14 -> 26 [size =\"32036864\"]\n  14 -> 28 [size =\"32036864\"]\n  15 [size=\"93900800\", alpha=\"0.16\", expect_size=\"37560320\"] \n  15 -> 26 [size =\"37560320\"]\n  16 [size=\"108948480\", alpha=\"0.19\", expect_size=\"43579392\"] \n  16 -> 24 [size =\"43579392\"]\n  16 -> 26 [size =\"43579392\"]\n  17 [size=\"51960320\", alpha=\"0.03\", expect_size=\"20784128\"] \n  17 -> 27 [size =\"20784128\"]\n  18 [size=\"68971520\", alpha=\"0.11\", expect_size=\"27588608\"] \n  18 -> 26 [size =\"27588608\"]\n  18 -> 27 [size =\"27588608\"]\n  18 -> 28 [size =\"27588608\"]\n  19 [size=\"81323520\", alpha=\"0.09\", expect_size=\"32529408\"] \n  19 -> 27 [size =\"32529408\"]\n  20 [size=\"96952320\", alpha=\"0.03\", expect_size=\"38780928\"] \n  20 -> 27 [size =\"38780928\"]\n  21 [size=\"124211200\", alpha=\"0.20\", expect_size=\"49684480\"] \n  21 -> 26 [size =\"49684480\"]\n  22 [size=\"77383680\", alpha=\"0.10\", expect_size=\"30953472\"] \n  22 -> 24 [size =\"30953472\"]\n  22 -> 26 [size =\"30953472\"]\n  23 [size=\"32064000\", alpha=\"0.15\", expect_size=\"12825600\"] \n  23 -> 24 [size =\"12825600\"]\n  23 -> 25 [size =\"12825600\"]\n  23 -> 26 [size =\"12825600\"]\n  23 -> 27 [size =\"12825600\"]\n  24 [size=\"83891200\", alpha=\"0.16\", expect_size=\"33556480\"] \n  24 -> 29 [size =\"33556480\"]\n  25 [size=\"30154240\", alpha=\"0.05\", expect_size=\"12061696\"] \n  25 -> 29 [size =\"12061696\"]\n  25 -> 30 [size =\"12061696\"]\n  26 [size=\"123607040\", alpha=\"0.13\", expect_size=\"49442816\"] \n  26 -> 29 [size =\"49442816\"]\n  27 [size=\"118092800\", alpha=\"0.20\", expect_size=\"47237120\"] \n  27 -> 29 [size =\"47237120\"]\n  28 [size=\"15974400\", alpha=\"0.09\", expect_size=\"6389760\"] \n  28 -> 29 [size =\"6389760\"]\n  29 [size=\"83740160\", alpha=\"0.06\", expect_size=\"33496064\"] \n  30 [size=\"18426880\", alpha=\"0.01\", expect_size=\"7370752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96273067\", alpha=\"0.14\", expect_size=\"28881920\"] \n  1 -> 9 [size =\"28881920\"]\n  1 -> 10 [size =\"28881920\"]\n  1 -> 14 [size =\"28881920\"]\n  1 -> 15 [size =\"28881920\"]\n  1 -> 17 [size =\"28881920\"]\n  2 [size=\"140090027\", alpha=\"0.07\", expect_size=\"42027008\"] \n  2 -> 9 [size =\"42027008\"]\n  2 -> 10 [size =\"42027008\"]\n  2 -> 14 [size =\"42027008\"]\n  2 -> 17 [size =\"42027008\"]\n  2 -> 18 [size =\"42027008\"]\n  3 [size=\"47848107\", alpha=\"0.13\", expect_size=\"14354432\"] \n  3 -> 9 [size =\"14354432\"]\n  3 -> 10 [size =\"14354432\"]\n  3 -> 17 [size =\"14354432\"]\n  3 -> 18 [size =\"14354432\"]\n  4 [size=\"90275840\", alpha=\"0.10\", expect_size=\"27082752\"] \n  4 -> 9 [size =\"27082752\"]\n  4 -> 12 [size =\"27082752\"]\n  4 -> 14 [size =\"27082752\"]\n  5 [size=\"48663893\", alpha=\"0.20\", expect_size=\"14599168\"] \n  5 -> 9 [size =\"14599168\"]\n  5 -> 10 [size =\"14599168\"]\n  5 -> 12 [size =\"14599168\"]\n  5 -> 13 [size =\"14599168\"]\n  5 -> 14 [size =\"14599168\"]\n  5 -> 18 [size =\"14599168\"]\n  6 [size=\"57364480\", alpha=\"0.02\", expect_size=\"17209344\"] \n  6 -> 9 [size =\"17209344\"]\n  6 -> 10 [size =\"17209344\"]\n  6 -> 11 [size =\"17209344\"]\n  6 -> 14 [size =\"17209344\"]\n  6 -> 14 [size =\"17209344\"]\n  6 -> 16 [size =\"17209344\"]\n  6 -> 18 [size =\"17209344\"]\n  7 [size=\"150978560\", alpha=\"0.12\", expect_size=\"45293568\"] \n  7 -> 9 [size =\"45293568\"]\n  7 -> 10 [size =\"45293568\"]\n  7 -> 11 [size =\"45293568\"]\n  7 -> 14 [size =\"45293568\"]\n  7 -> 17 [size =\"45293568\"]\n  8 [size=\"26801493\", alpha=\"0.19\", expect_size=\"8040448\"] \n  8 -> 9 [size =\"8040448\"]\n  8 -> 10 [size =\"8040448\"]\n  8 -> 13 [size =\"8040448\"]\n  8 -> 14 [size =\"8040448\"]\n  8 -> 17 [size =\"8040448\"]\n  9 [size=\"102512640\", alpha=\"0.07\", expect_size=\"30753792\"] \n  9 -> 21 [size =\"30753792\"]\n  9 -> 21 [size =\"30753792\"]\n  9 -> 22 [size =\"30753792\"]\n  9 -> 24 [size =\"30753792\"]\n  9 -> 26 [size =\"30753792\"]\n  10 [size=\"146746027\", alpha=\"0.11\", expect_size=\"44023808\"] \n  10 -> 22 [size =\"44023808\"]\n  10 -> 26 [size =\"44023808\"]\n  11 [size=\"102973440\", alpha=\"0.07\", expect_size=\"30892032\"] \n  12 [size=\"53906773\", alpha=\"0.09\", expect_size=\"16172032\"] \n  12 -> 21 [size =\"16172032\"]\n  12 -> 22 [size =\"16172032\"]\n  12 -> 24 [size =\"16172032\"]\n  13 [size=\"106987520\", alpha=\"0.12\", expect_size=\"32096256\"] \n  13 -> 20 [size =\"32096256\"]\n  13 -> 22 [size =\"32096256\"]\n  13 -> 24 [size =\"32096256\"]\n  14 [size=\"55425707\", alpha=\"0.03\", expect_size=\"16627712\"] \n  14 -> 20 [size =\"16627712\"]\n  14 -> 26 [size =\"16627712\"]\n  15 [size=\"137762133\", alpha=\"0.18\", expect_size=\"41328640\"] \n  15 -> 22 [size =\"41328640\"]\n  15 -> 25 [size =\"41328640\"]\n  15 -> 26 [size =\"41328640\"]\n  16 [size=\"137536853\", alpha=\"0.04\", expect_size=\"41261056\"] \n  16 -> 19 [size =\"41261056\"]\n  16 -> 20 [size =\"41261056\"]\n  16 -> 22 [size =\"41261056\"]\n  16 -> 23 [size =\"41261056\"]\n  16 -> 26 [size =\"41261056\"]\n  17 [size=\"154340693\", alpha=\"0.12\", expect_size=\"46302208\"] \n  17 -> 20 [size =\"46302208\"]\n  17 -> 22 [size =\"46302208\"]\n  17 -> 22 [size =\"46302208\"]\n  17 -> 23 [size =\"46302208\"]\n  18 [size=\"88463360\", alpha=\"0.19\", expect_size=\"26539008\"] \n  18 -> 20 [size =\"26539008\"]\n  18 -> 21 [size =\"26539008\"]\n  18 -> 22 [size =\"26539008\"]\n  18 -> 23 [size =\"26539008\"]\n  18 -> 26 [size =\"26539008\"]\n  19 [size=\"83585707\", alpha=\"0.18\", expect_size=\"25075712\"] \n  20 [size=\"135874560\", alpha=\"0.11\", expect_size=\"40762368\"] \n  20 -> 27 [size =\"40762368\"]\n  21 [size=\"61931520\", alpha=\"0.13\", expect_size=\"18579456\"] \n  21 -> 27 [size =\"18579456\"]\n  21 -> 28 [size =\"18579456\"]\n  21 -> 29 [size =\"18579456\"]\n  22 [size=\"114749440\", alpha=\"0.11\", expect_size=\"34424832\"] \n  22 -> 29 [size =\"34424832\"]\n  23 [size=\"28320427\", alpha=\"0.13\", expect_size=\"8496128\"] \n  23 -> 29 [size =\"8496128\"]\n  23 -> 30 [size =\"8496128\"]\n  24 [size=\"120657920\", alpha=\"0.04\", expect_size=\"36197376\"] \n  24 -> 27 [size =\"36197376\"]\n  25 [size=\"146247680\", alpha=\"0.19\", expect_size=\"43874304\"] \n  25 -> 27 [size =\"43874304\"]\n  26 [size=\"134287360\", alpha=\"0.19\", expect_size=\"40286208\"] \n  26 -> 28 [size =\"40286208\"]\n  27 [size=\"167639040\", alpha=\"0.16\", expect_size=\"50291712\"] \n  28 [size=\"106990933\", alpha=\"0.15\", expect_size=\"32097280\"] \n  29 [size=\"99034453\", alpha=\"0.04\", expect_size=\"29710336\"] \n  30 [size=\"86432427\", alpha=\"0.09\", expect_size=\"25929728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154839040\", alpha=\"0.00\", expect_size=\"46451712\"] \n  1 -> 6 [size =\"46451712\"]\n  1 -> 7 [size =\"46451712\"]\n  1 -> 8 [size =\"46451712\"]\n  1 -> 9 [size =\"46451712\"]\n  2 [size=\"130167467\", alpha=\"0.10\", expect_size=\"39050240\"] \n  2 -> 6 [size =\"39050240\"]\n  2 -> 7 [size =\"39050240\"]\n  2 -> 8 [size =\"39050240\"]\n  2 -> 9 [size =\"39050240\"]\n  3 [size=\"28750507\", alpha=\"0.09\", expect_size=\"8625152\"] \n  3 -> 6 [size =\"8625152\"]\n  3 -> 7 [size =\"8625152\"]\n  3 -> 9 [size =\"8625152\"]\n  3 -> 9 [size =\"8625152\"]\n  4 [size=\"28132693\", alpha=\"0.18\", expect_size=\"8439808\"] \n  4 -> 7 [size =\"8439808\"]\n  4 -> 7 [size =\"8439808\"]\n  4 -> 8 [size =\"8439808\"]\n  4 -> 9 [size =\"8439808\"]\n  5 [size=\"30798507\", alpha=\"0.14\", expect_size=\"9239552\"] \n  5 -> 6 [size =\"9239552\"]\n  6 [size=\"58869760\", alpha=\"0.11\", expect_size=\"17660928\"] \n  6 -> 12 [size =\"17660928\"]\n  6 -> 13 [size =\"17660928\"]\n  7 [size=\"21913600\", alpha=\"0.07\", expect_size=\"6574080\"] \n  7 -> 11 [size =\"6574080\"]\n  7 -> 12 [size =\"6574080\"]\n  7 -> 13 [size =\"6574080\"]\n  8 [size=\"133519360\", alpha=\"0.01\", expect_size=\"40055808\"] \n  8 -> 11 [size =\"40055808\"]\n  8 -> 12 [size =\"40055808\"]\n  8 -> 13 [size =\"40055808\"]\n  9 [size=\"54876160\", alpha=\"0.08\", expect_size=\"16462848\"] \n  9 -> 10 [size =\"16462848\"]\n  9 -> 12 [size =\"16462848\"]\n  9 -> 13 [size =\"16462848\"]\n  10 [size=\"33518933\", alpha=\"0.13\", expect_size=\"10055680\"] \n  10 -> 16 [size =\"10055680\"]\n  10 -> 17 [size =\"10055680\"]\n  10 -> 18 [size =\"10055680\"]\n  10 -> 19 [size =\"10055680\"]\n  11 [size=\"98440533\", alpha=\"0.07\", expect_size=\"29532160\"] \n  11 -> 14 [size =\"29532160\"]\n  11 -> 17 [size =\"29532160\"]\n  11 -> 18 [size =\"29532160\"]\n  11 -> 19 [size =\"29532160\"]\n  12 [size=\"100007253\", alpha=\"0.16\", expect_size=\"30002176\"] \n  12 -> 14 [size =\"30002176\"]\n  12 -> 15 [size =\"30002176\"]\n  12 -> 16 [size =\"30002176\"]\n  12 -> 17 [size =\"30002176\"]\n  12 -> 18 [size =\"30002176\"]\n  12 -> 19 [size =\"30002176\"]\n  13 [size=\"17974613\", alpha=\"0.08\", expect_size=\"5392384\"] \n  13 -> 16 [size =\"5392384\"]\n  13 -> 18 [size =\"5392384\"]\n  13 -> 19 [size =\"5392384\"]\n  14 [size=\"88282453\", alpha=\"0.04\", expect_size=\"26484736\"] \n  14 -> 20 [size =\"26484736\"]\n  14 -> 21 [size =\"26484736\"]\n  14 -> 23 [size =\"26484736\"]\n  14 -> 24 [size =\"26484736\"]\n  14 -> 25 [size =\"26484736\"]\n  15 [size=\"71004160\", alpha=\"0.02\", expect_size=\"21301248\"] \n  15 -> 21 [size =\"21301248\"]\n  15 -> 23 [size =\"21301248\"]\n  15 -> 24 [size =\"21301248\"]\n  15 -> 24 [size =\"21301248\"]\n  16 [size=\"27180373\", alpha=\"0.15\", expect_size=\"8154112\"] \n  16 -> 21 [size =\"8154112\"]\n  16 -> 23 [size =\"8154112\"]\n  16 -> 24 [size =\"8154112\"]\n  16 -> 25 [size =\"8154112\"]\n  17 [size=\"113309013\", alpha=\"0.11\", expect_size=\"33992704\"] \n  17 -> 21 [size =\"33992704\"]\n  17 -> 23 [size =\"33992704\"]\n  18 [size=\"171281067\", alpha=\"0.13\", expect_size=\"51384320\"] \n  18 -> 21 [size =\"51384320\"]\n  18 -> 23 [size =\"51384320\"]\n  18 -> 24 [size =\"51384320\"]\n  19 [size=\"25750187\", alpha=\"0.05\", expect_size=\"7725056\"] \n  19 -> 21 [size =\"7725056\"]\n  19 -> 22 [size =\"7725056\"]\n  19 -> 23 [size =\"7725056\"]\n  19 -> 24 [size =\"7725056\"]\n  20 [size=\"85425493\", alpha=\"0.14\", expect_size=\"25627648\"] \n  20 -> 28 [size =\"25627648\"]\n  21 [size=\"27125760\", alpha=\"0.01\", expect_size=\"8137728\"] \n  21 -> 27 [size =\"8137728\"]\n  22 [size=\"83418453\", alpha=\"0.01\", expect_size=\"25025536\"] \n  22 -> 27 [size =\"25025536\"]\n  22 -> 28 [size =\"25025536\"]\n  23 [size=\"55398400\", alpha=\"0.04\", expect_size=\"16619520\"] \n  23 -> 27 [size =\"16619520\"]\n  23 -> 28 [size =\"16619520\"]\n  24 [size=\"115968000\", alpha=\"0.08\", expect_size=\"34790400\"] \n  24 -> 26 [size =\"34790400\"]\n  24 -> 27 [size =\"34790400\"]\n  24 -> 28 [size =\"34790400\"]\n  25 [size=\"144329387\", alpha=\"0.13\", expect_size=\"43298816\"] \n  25 -> 27 [size =\"43298816\"]\n  25 -> 28 [size =\"43298816\"]\n  26 [size=\"163167573\", alpha=\"0.04\", expect_size=\"48950272\"] \n  26 -> 29 [size =\"48950272\"]\n  26 -> 30 [size =\"48950272\"]\n  27 [size=\"127385600\", alpha=\"0.15\", expect_size=\"38215680\"] \n  27 -> 29 [size =\"38215680\"]\n  27 -> 30 [size =\"38215680\"]\n  28 [size=\"54558720\", alpha=\"0.01\", expect_size=\"16367616\"] \n  28 -> 29 [size =\"16367616\"]\n  28 -> 30 [size =\"16367616\"]\n  29 [size=\"156361387\", alpha=\"0.12\", expect_size=\"46908416\"] \n  30 [size=\"35904853\", alpha=\"0.05\", expect_size=\"10771456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49994240\", alpha=\"0.01\", expect_size=\"19997696\"] \n  1 -> 2 [size =\"19997696\"]\n  2 [size=\"98511360\", alpha=\"0.16\", expect_size=\"39404544\"] \n  2 -> 3 [size =\"39404544\"]\n  3 [size=\"62330880\", alpha=\"0.05\", expect_size=\"24932352\"] \n  3 -> 4 [size =\"24932352\"]\n  4 [size=\"102645760\", alpha=\"0.10\", expect_size=\"41058304\"] \n  4 -> 5 [size =\"41058304\"]\n  5 [size=\"77946880\", alpha=\"0.04\", expect_size=\"31178752\"] \n  5 -> 6 [size =\"31178752\"]\n  6 [size=\"24878080\", alpha=\"0.02\", expect_size=\"9951232\"] \n  6 -> 7 [size =\"9951232\"]\n  7 [size=\"63626240\", alpha=\"0.01\", expect_size=\"25450496\"] \n  7 -> 8 [size =\"25450496\"]\n  8 [size=\"74255360\", alpha=\"0.14\", expect_size=\"29702144\"] \n  8 -> 9 [size =\"29702144\"]\n  9 [size=\"121733120\", alpha=\"0.04\", expect_size=\"48693248\"] \n  9 -> 10 [size =\"48693248\"]\n  10 [size=\"85560320\", alpha=\"0.03\", expect_size=\"34224128\"] \n  10 -> 11 [size =\"34224128\"]\n  11 [size=\"114992640\", alpha=\"0.16\", expect_size=\"45997056\"] \n  11 -> 12 [size =\"45997056\"]\n  12 [size=\"121479680\", alpha=\"0.09\", expect_size=\"48591872\"] \n  12 -> 13 [size =\"48591872\"]\n  13 [size=\"97697280\", alpha=\"0.05\", expect_size=\"39078912\"] \n  13 -> 14 [size =\"39078912\"]\n  14 [size=\"129018880\", alpha=\"0.04\", expect_size=\"51607552\"] \n  14 -> 15 [size =\"51607552\"]\n  15 [size=\"70663680\", alpha=\"0.10\", expect_size=\"28265472\"] \n  15 -> 16 [size =\"28265472\"]\n  16 [size=\"92567040\", alpha=\"0.12\", expect_size=\"37026816\"] \n  16 -> 17 [size =\"37026816\"]\n  17 [size=\"107033600\", alpha=\"0.10\", expect_size=\"42813440\"] \n  17 -> 18 [size =\"42813440\"]\n  18 [size=\"111508480\", alpha=\"0.05\", expect_size=\"44603392\"] \n  18 -> 19 [size =\"44603392\"]\n  19 [size=\"77854720\", alpha=\"0.10\", expect_size=\"31141888\"] \n  19 -> 20 [size =\"31141888\"]\n  20 [size=\"102704640\", alpha=\"0.10\", expect_size=\"41081856\"] \n  20 -> 21 [size =\"41081856\"]\n  21 [size=\"119682560\", alpha=\"0.17\", expect_size=\"47873024\"] \n  21 -> 22 [size =\"47873024\"]\n  22 [size=\"95528960\", alpha=\"0.18\", expect_size=\"38211584\"] \n  22 -> 23 [size =\"38211584\"]\n  23 [size=\"30942720\", alpha=\"0.07\", expect_size=\"12377088\"] \n  23 -> 24 [size =\"12377088\"]\n  24 [size=\"59991040\", alpha=\"0.12\", expect_size=\"23996416\"] \n  24 -> 25 [size =\"23996416\"]\n  25 [size=\"86069760\", alpha=\"0.07\", expect_size=\"34427904\"] \n  25 -> 26 [size =\"34427904\"]\n  26 [size=\"24619520\", alpha=\"0.05\", expect_size=\"9847808\"] \n  26 -> 27 [size =\"9847808\"]\n  27 [size=\"96071680\", alpha=\"0.11\", expect_size=\"38428672\"] \n  27 -> 28 [size =\"38428672\"]\n  28 [size=\"38474240\", alpha=\"0.07\", expect_size=\"15389696\"] \n  28 -> 29 [size =\"15389696\"]\n  29 [size=\"68083200\", alpha=\"0.02\", expect_size=\"27233280\"] \n  29 -> 30 [size =\"27233280\"]\n  30 [size=\"127191040\", alpha=\"0.10\", expect_size=\"50876416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54824960\", alpha=\"0.19\", expect_size=\"21929984\"] \n  1 -> 4 [size =\"21929984\"]\n  2 [size=\"44966400\", alpha=\"0.20\", expect_size=\"17986560\"] \n  3 [size=\"52992000\", alpha=\"0.15\", expect_size=\"21196800\"] \n  3 -> 4 [size =\"21196800\"]\n  3 -> 5 [size =\"21196800\"]\n  4 [size=\"70318080\", alpha=\"0.07\", expect_size=\"28127232\"] \n  4 -> 6 [size =\"28127232\"]\n  4 -> 7 [size =\"28127232\"]\n  4 -> 9 [size =\"28127232\"]\n  5 [size=\"119879680\", alpha=\"0.05\", expect_size=\"47951872\"] \n  5 -> 8 [size =\"47951872\"]\n  6 [size=\"106408960\", alpha=\"0.04\", expect_size=\"42563584\"] \n  6 -> 10 [size =\"42563584\"]\n  6 -> 12 [size =\"42563584\"]\n  6 -> 15 [size =\"42563584\"]\n  7 [size=\"65180160\", alpha=\"0.17\", expect_size=\"26072064\"] \n  7 -> 10 [size =\"26072064\"]\n  7 -> 13 [size =\"26072064\"]\n  7 -> 14 [size =\"26072064\"]\n  7 -> 15 [size =\"26072064\"]\n  8 [size=\"39144960\", alpha=\"0.14\", expect_size=\"15657984\"] \n  8 -> 11 [size =\"15657984\"]\n  8 -> 12 [size =\"15657984\"]\n  8 -> 13 [size =\"15657984\"]\n  8 -> 14 [size =\"15657984\"]\n  8 -> 16 [size =\"15657984\"]\n  9 [size=\"74083840\", alpha=\"0.00\", expect_size=\"29633536\"] \n  9 -> 16 [size =\"29633536\"]\n  10 [size=\"70540800\", alpha=\"0.17\", expect_size=\"28216320\"] \n  10 -> 17 [size =\"28216320\"]\n  10 -> 20 [size =\"28216320\"]\n  10 -> 21 [size =\"28216320\"]\n  11 [size=\"38005760\", alpha=\"0.03\", expect_size=\"15202304\"] \n  11 -> 19 [size =\"15202304\"]\n  11 -> 20 [size =\"15202304\"]\n  12 [size=\"31042560\", alpha=\"0.18\", expect_size=\"12417024\"] \n  12 -> 19 [size =\"12417024\"]\n  12 -> 20 [size =\"12417024\"]\n  12 -> 21 [size =\"12417024\"]\n  13 [size=\"30371840\", alpha=\"0.09\", expect_size=\"12148736\"] \n  13 -> 17 [size =\"12148736\"]\n  14 [size=\"119603200\", alpha=\"0.11\", expect_size=\"47841280\"] \n  14 -> 17 [size =\"47841280\"]\n  14 -> 21 [size =\"47841280\"]\n  15 [size=\"45283840\", alpha=\"0.08\", expect_size=\"18113536\"] \n  15 -> 17 [size =\"18113536\"]\n  15 -> 18 [size =\"18113536\"]\n  15 -> 19 [size =\"18113536\"]\n  16 [size=\"75863040\", alpha=\"0.08\", expect_size=\"30345216\"] \n  17 [size=\"101299200\", alpha=\"0.15\", expect_size=\"40519680\"] \n  17 -> 26 [size =\"40519680\"]\n  17 -> 27 [size =\"40519680\"]\n  18 [size=\"85975040\", alpha=\"0.19\", expect_size=\"34390016\"] \n  18 -> 22 [size =\"34390016\"]\n  18 -> 26 [size =\"34390016\"]\n  19 [size=\"48624640\", alpha=\"0.04\", expect_size=\"19449856\"] \n  19 -> 22 [size =\"19449856\"]\n  19 -> 23 [size =\"19449856\"]\n  19 -> 24 [size =\"19449856\"]\n  20 [size=\"49384960\", alpha=\"0.20\", expect_size=\"19753984\"] \n  20 -> 25 [size =\"19753984\"]\n  21 [size=\"33643520\", alpha=\"0.03\", expect_size=\"13457408\"] \n  21 -> 27 [size =\"13457408\"]\n  22 [size=\"48936960\", alpha=\"0.11\", expect_size=\"19574784\"] \n  23 [size=\"38487040\", alpha=\"0.06\", expect_size=\"15394816\"] \n  23 -> 30 [size =\"15394816\"]\n  24 [size=\"90672640\", alpha=\"0.11\", expect_size=\"36269056\"] \n  24 -> 29 [size =\"36269056\"]\n  24 -> 30 [size =\"36269056\"]\n  25 [size=\"39987200\", alpha=\"0.14\", expect_size=\"15994880\"] \n  26 [size=\"85386240\", alpha=\"0.12\", expect_size=\"34154496\"] \n  26 -> 28 [size =\"34154496\"]\n  26 -> 29 [size =\"34154496\"]\n  27 [size=\"15641600\", alpha=\"0.20\", expect_size=\"6256640\"] \n  27 -> 28 [size =\"6256640\"]\n  27 -> 29 [size =\"6256640\"]\n  28 [size=\"102965760\", alpha=\"0.12\", expect_size=\"41186304\"] \n  29 [size=\"96000000\", alpha=\"0.14\", expect_size=\"38400000\"] \n  30 [size=\"118108160\", alpha=\"0.06\", expect_size=\"47243264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67997013\", alpha=\"0.05\", expect_size=\"20399104\"] \n  2 [size=\"121866240\", alpha=\"0.07\", expect_size=\"36559872\"] \n  2 -> 5 [size =\"36559872\"]\n  3 [size=\"71731200\", alpha=\"0.05\", expect_size=\"21519360\"] \n  3 -> 4 [size =\"21519360\"]\n  4 [size=\"162068480\", alpha=\"0.17\", expect_size=\"48620544\"] \n  4 -> 8 [size =\"48620544\"]\n  4 -> 9 [size =\"48620544\"]\n  4 -> 10 [size =\"48620544\"]\n  5 [size=\"86152533\", alpha=\"0.18\", expect_size=\"25845760\"] \n  5 -> 6 [size =\"25845760\"]\n  5 -> 7 [size =\"25845760\"]\n  5 -> 8 [size =\"25845760\"]\n  6 [size=\"131003733\", alpha=\"0.06\", expect_size=\"39301120\"] \n  6 -> 13 [size =\"39301120\"]\n  6 -> 14 [size =\"39301120\"]\n  7 [size=\"19865600\", alpha=\"0.03\", expect_size=\"5959680\"] \n  7 -> 12 [size =\"5959680\"]\n  7 -> 14 [size =\"5959680\"]\n  7 -> 15 [size =\"5959680\"]\n  8 [size=\"79557973\", alpha=\"0.07\", expect_size=\"23867392\"] \n  9 [size=\"93347840\", alpha=\"0.00\", expect_size=\"28004352\"] \n  9 -> 11 [size =\"28004352\"]\n  10 [size=\"95593813\", alpha=\"0.06\", expect_size=\"28678144\"] \n  10 -> 14 [size =\"28678144\"]\n  11 [size=\"165041493\", alpha=\"0.14\", expect_size=\"49512448\"] \n  12 [size=\"47267840\", alpha=\"0.07\", expect_size=\"14180352\"] \n  12 -> 16 [size =\"14180352\"]\n  13 [size=\"103243093\", alpha=\"0.12\", expect_size=\"30972928\"] \n  14 [size=\"145684480\", alpha=\"0.07\", expect_size=\"43705344\"] \n  15 [size=\"120118613\", alpha=\"0.10\", expect_size=\"36035584\"] \n  15 -> 17 [size =\"36035584\"]\n  16 [size=\"103461547\", alpha=\"0.07\", expect_size=\"31038464\"] \n  16 -> 18 [size =\"31038464\"]\n  16 -> 19 [size =\"31038464\"]\n  16 -> 21 [size =\"31038464\"]\n  16 -> 22 [size =\"31038464\"]\n  16 -> 23 [size =\"31038464\"]\n  16 -> 24 [size =\"31038464\"]\n  17 [size=\"149350400\", alpha=\"0.05\", expect_size=\"44805120\"] \n  17 -> 20 [size =\"44805120\"]\n  18 [size=\"18432000\", alpha=\"0.10\", expect_size=\"5529600\"] \n  18 -> 26 [size =\"5529600\"]\n  18 -> 27 [size =\"5529600\"]\n  19 [size=\"70830080\", alpha=\"0.07\", expect_size=\"21249024\"] \n  19 -> 26 [size =\"21249024\"]\n  20 [size=\"74096640\", alpha=\"0.02\", expect_size=\"22228992\"] \n  20 -> 25 [size =\"22228992\"]\n  20 -> 26 [size =\"22228992\"]\n  20 -> 27 [size =\"22228992\"]\n  21 [size=\"122641067\", alpha=\"0.04\", expect_size=\"36792320\"] \n  21 -> 25 [size =\"36792320\"]\n  22 [size=\"77933227\", alpha=\"0.20\", expect_size=\"23379968\"] \n  22 -> 25 [size =\"23379968\"]\n  23 [size=\"133956267\", alpha=\"0.02\", expect_size=\"40186880\"] \n  23 -> 25 [size =\"40186880\"]\n  23 -> 26 [size =\"40186880\"]\n  24 [size=\"74577920\", alpha=\"0.03\", expect_size=\"22373376\"] \n  24 -> 26 [size =\"22373376\"]\n  24 -> 27 [size =\"22373376\"]\n  25 [size=\"132119893\", alpha=\"0.12\", expect_size=\"39635968\"] \n  25 -> 28 [size =\"39635968\"]\n  25 -> 29 [size =\"39635968\"]\n  25 -> 30 [size =\"39635968\"]\n  26 [size=\"52196693\", alpha=\"0.16\", expect_size=\"15659008\"] \n  26 -> 30 [size =\"15659008\"]\n  27 [size=\"107298133\", alpha=\"0.20\", expect_size=\"32189440\"] \n  27 -> 28 [size =\"32189440\"]\n  28 [size=\"146554880\", alpha=\"0.12\", expect_size=\"43966464\"] \n  29 [size=\"66443947\", alpha=\"0.14\", expect_size=\"19933184\"] \n  30 [size=\"118923947\", alpha=\"0.05\", expect_size=\"35677184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51720192\", alpha=\"0.02\", expect_size=\"25860096\"] \n  1 -> 6 [size =\"25860096\"]\n  1 -> 7 [size =\"25860096\"]\n  1 -> 9 [size =\"25860096\"]\n  2 [size=\"84158464\", alpha=\"0.06\", expect_size=\"42079232\"] \n  2 -> 5 [size =\"42079232\"]\n  2 -> 9 [size =\"42079232\"]\n  3 [size=\"98381824\", alpha=\"0.03\", expect_size=\"49190912\"] \n  3 -> 4 [size =\"49190912\"]\n  3 -> 5 [size =\"49190912\"]\n  3 -> 6 [size =\"49190912\"]\n  3 -> 8 [size =\"49190912\"]\n  4 [size=\"42151936\", alpha=\"0.15\", expect_size=\"21075968\"] \n  4 -> 11 [size =\"21075968\"]\n  5 [size=\"77795328\", alpha=\"0.07\", expect_size=\"38897664\"] \n  5 -> 11 [size =\"38897664\"]\n  5 -> 12 [size =\"38897664\"]\n  5 -> 13 [size =\"38897664\"]\n  6 [size=\"74416128\", alpha=\"0.03\", expect_size=\"37208064\"] \n  6 -> 11 [size =\"37208064\"]\n  7 [size=\"93212672\", alpha=\"0.05\", expect_size=\"46606336\"] \n  7 -> 10 [size =\"46606336\"]\n  8 [size=\"46071808\", alpha=\"0.18\", expect_size=\"23035904\"] \n  9 [size=\"46684160\", alpha=\"0.06\", expect_size=\"23342080\"] \n  9 -> 10 [size =\"23342080\"]\n  9 -> 12 [size =\"23342080\"]\n  10 [size=\"56352768\", alpha=\"0.12\", expect_size=\"28176384\"] \n  10 -> 16 [size =\"28176384\"]\n  11 [size=\"97589248\", alpha=\"0.09\", expect_size=\"48794624\"] \n  11 -> 14 [size =\"48794624\"]\n  11 -> 15 [size =\"48794624\"]\n  11 -> 16 [size =\"48794624\"]\n  12 [size=\"12582912\", alpha=\"0.01\", expect_size=\"6291456\"] \n  13 [size=\"39362560\", alpha=\"0.11\", expect_size=\"19681280\"] \n  13 -> 14 [size =\"19681280\"]\n  13 -> 15 [size =\"19681280\"]\n  14 [size=\"54474752\", alpha=\"0.14\", expect_size=\"27237376\"] \n  14 -> 19 [size =\"27237376\"]\n  14 -> 20 [size =\"27237376\"]\n  14 -> 22 [size =\"27237376\"]\n  15 [size=\"29759488\", alpha=\"0.03\", expect_size=\"14879744\"] \n  15 -> 17 [size =\"14879744\"]\n  15 -> 21 [size =\"14879744\"]\n  15 -> 22 [size =\"14879744\"]\n  16 [size=\"62429184\", alpha=\"0.18\", expect_size=\"31214592\"] \n  16 -> 18 [size =\"31214592\"]\n  16 -> 19 [size =\"31214592\"]\n  17 [size=\"76550144\", alpha=\"0.03\", expect_size=\"38275072\"] \n  17 -> 25 [size =\"38275072\"]\n  18 [size=\"98406400\", alpha=\"0.19\", expect_size=\"49203200\"] \n  18 -> 26 [size =\"49203200\"]\n  19 [size=\"87173120\", alpha=\"0.12\", expect_size=\"43586560\"] \n  19 -> 24 [size =\"43586560\"]\n  20 [size=\"21444608\", alpha=\"0.04\", expect_size=\"10722304\"] \n  20 -> 26 [size =\"10722304\"]\n  21 [size=\"77934592\", alpha=\"0.04\", expect_size=\"38967296\"] \n  21 -> 23 [size =\"38967296\"]\n  21 -> 24 [size =\"38967296\"]\n  21 -> 26 [size =\"38967296\"]\n  22 [size=\"27441152\", alpha=\"0.00\", expect_size=\"13720576\"] \n  22 -> 24 [size =\"13720576\"]\n  23 [size=\"33251328\", alpha=\"0.15\", expect_size=\"16625664\"] \n  23 -> 29 [size =\"16625664\"]\n  24 [size=\"86607872\", alpha=\"0.16\", expect_size=\"43303936\"] \n  24 -> 27 [size =\"43303936\"]\n  24 -> 30 [size =\"43303936\"]\n  25 [size=\"59224064\", alpha=\"0.12\", expect_size=\"29612032\"] \n  25 -> 28 [size =\"29612032\"]\n  25 -> 29 [size =\"29612032\"]\n  26 [size=\"73848832\", alpha=\"0.01\", expect_size=\"36924416\"] \n  27 [size=\"64843776\", alpha=\"0.08\", expect_size=\"32421888\"] \n  28 [size=\"77680640\", alpha=\"0.02\", expect_size=\"38840320\"] \n  29 [size=\"72136704\", alpha=\"0.04\", expect_size=\"36068352\"] \n  30 [size=\"35692544\", alpha=\"0.15\", expect_size=\"17846272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29655040\", alpha=\"0.13\", expect_size=\"11862016\"] \n  1 -> 2 [size =\"11862016\"]\n  2 [size=\"33584640\", alpha=\"0.19\", expect_size=\"13433856\"] \n  2 -> 3 [size =\"13433856\"]\n  3 [size=\"121262080\", alpha=\"0.09\", expect_size=\"48504832\"] \n  3 -> 4 [size =\"48504832\"]\n  4 [size=\"60526080\", alpha=\"0.16\", expect_size=\"24210432\"] \n  4 -> 5 [size =\"24210432\"]\n  5 [size=\"111211520\", alpha=\"0.16\", expect_size=\"44484608\"] \n  5 -> 6 [size =\"44484608\"]\n  6 [size=\"51998720\", alpha=\"0.11\", expect_size=\"20799488\"] \n  6 -> 7 [size =\"20799488\"]\n  7 [size=\"14960640\", alpha=\"0.12\", expect_size=\"5984256\"] \n  7 -> 8 [size =\"5984256\"]\n  8 [size=\"86369280\", alpha=\"0.14\", expect_size=\"34547712\"] \n  8 -> 9 [size =\"34547712\"]\n  9 [size=\"87562240\", alpha=\"0.01\", expect_size=\"35024896\"] \n  9 -> 10 [size =\"35024896\"]\n  10 [size=\"107921920\", alpha=\"0.12\", expect_size=\"43168768\"] \n  10 -> 11 [size =\"43168768\"]\n  11 [size=\"44026880\", alpha=\"0.09\", expect_size=\"17610752\"] \n  11 -> 12 [size =\"17610752\"]\n  12 [size=\"121464320\", alpha=\"0.10\", expect_size=\"48585728\"] \n  12 -> 13 [size =\"48585728\"]\n  13 [size=\"114275840\", alpha=\"0.04\", expect_size=\"45710336\"] \n  13 -> 14 [size =\"45710336\"]\n  14 [size=\"52032000\", alpha=\"0.14\", expect_size=\"20812800\"] \n  14 -> 15 [size =\"20812800\"]\n  15 [size=\"26007040\", alpha=\"0.16\", expect_size=\"10402816\"] \n  15 -> 16 [size =\"10402816\"]\n  16 [size=\"123100160\", alpha=\"0.20\", expect_size=\"49240064\"] \n  16 -> 17 [size =\"49240064\"]\n  17 [size=\"67919360\", alpha=\"0.06\", expect_size=\"27167744\"] \n  17 -> 18 [size =\"27167744\"]\n  18 [size=\"18552320\", alpha=\"0.02\", expect_size=\"7420928\"] \n  18 -> 19 [size =\"7420928\"]\n  19 [size=\"98677760\", alpha=\"0.10\", expect_size=\"39471104\"] \n  19 -> 20 [size =\"39471104\"]\n  20 [size=\"102446080\", alpha=\"0.11\", expect_size=\"40978432\"] \n  20 -> 21 [size =\"40978432\"]\n  21 [size=\"57021440\", alpha=\"0.16\", expect_size=\"22808576\"] \n  21 -> 22 [size =\"22808576\"]\n  22 [size=\"107174400\", alpha=\"0.03\", expect_size=\"42869760\"] \n  22 -> 23 [size =\"42869760\"]\n  23 [size=\"46177280\", alpha=\"0.09\", expect_size=\"18470912\"] \n  23 -> 24 [size =\"18470912\"]\n  24 [size=\"70423040\", alpha=\"0.03\", expect_size=\"28169216\"] \n  24 -> 25 [size =\"28169216\"]\n  25 [size=\"35484160\", alpha=\"0.13\", expect_size=\"14193664\"] \n  25 -> 26 [size =\"14193664\"]\n  26 [size=\"129518080\", alpha=\"0.11\", expect_size=\"51807232\"] \n  26 -> 27 [size =\"51807232\"]\n  27 [size=\"127188480\", alpha=\"0.08\", expect_size=\"50875392\"] \n  27 -> 28 [size =\"50875392\"]\n  28 [size=\"44695040\", alpha=\"0.18\", expect_size=\"17878016\"] \n  28 -> 29 [size =\"17878016\"]\n  29 [size=\"55454720\", alpha=\"0.00\", expect_size=\"22181888\"] \n  29 -> 30 [size =\"22181888\"]\n  30 [size=\"115537920\", alpha=\"0.19\", expect_size=\"46215168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70432768\", alpha=\"0.03\", expect_size=\"35216384\"] \n  1 -> 28 [size =\"35216384\"]\n  1 -> 29 [size =\"35216384\"]\n  2 [size=\"74717184\", alpha=\"0.12\", expect_size=\"37358592\"] \n  2 -> 28 [size =\"37358592\"]\n  3 [size=\"66240512\", alpha=\"0.06\", expect_size=\"33120256\"] \n  3 -> 28 [size =\"33120256\"]\n  4 [size=\"33785856\", alpha=\"0.03\", expect_size=\"16892928\"] \n  4 -> 28 [size =\"16892928\"]\n  4 -> 29 [size =\"16892928\"]\n  5 [size=\"102326272\", alpha=\"0.11\", expect_size=\"51163136\"] \n  5 -> 27 [size =\"51163136\"]\n  5 -> 28 [size =\"51163136\"]\n  6 [size=\"76986368\", alpha=\"0.07\", expect_size=\"38493184\"] \n  6 -> 28 [size =\"38493184\"]\n  6 -> 30 [size =\"38493184\"]\n  7 [size=\"32952320\", alpha=\"0.20\", expect_size=\"16476160\"] \n  7 -> 29 [size =\"16476160\"]\n  7 -> 30 [size =\"16476160\"]\n  8 [size=\"80115712\", alpha=\"0.16\", expect_size=\"40057856\"] \n  8 -> 29 [size =\"40057856\"]\n  8 -> 30 [size =\"40057856\"]\n  9 [size=\"17530880\", alpha=\"0.05\", expect_size=\"8765440\"] \n  9 -> 29 [size =\"8765440\"]\n  10 [size=\"63817728\", alpha=\"0.04\", expect_size=\"31908864\"] \n  10 -> 30 [size =\"31908864\"]\n  11 [size=\"65730560\", alpha=\"0.12\", expect_size=\"32865280\"] \n  11 -> 28 [size =\"32865280\"]\n  12 [size=\"79521792\", alpha=\"0.09\", expect_size=\"39760896\"] \n  12 -> 28 [size =\"39760896\"]\n  13 [size=\"43483136\", alpha=\"0.18\", expect_size=\"21741568\"] \n  13 -> 28 [size =\"21741568\"]\n  13 -> 30 [size =\"21741568\"]\n  14 [size=\"73684992\", alpha=\"0.06\", expect_size=\"36842496\"] \n  14 -> 27 [size =\"36842496\"]\n  14 -> 28 [size =\"36842496\"]\n  15 [size=\"86949888\", alpha=\"0.16\", expect_size=\"43474944\"] \n  15 -> 28 [size =\"43474944\"]\n  16 [size=\"45885440\", alpha=\"0.07\", expect_size=\"22942720\"] \n  16 -> 28 [size =\"22942720\"]\n  16 -> 30 [size =\"22942720\"]\n  17 [size=\"80283648\", alpha=\"0.08\", expect_size=\"40141824\"] \n  17 -> 28 [size =\"40141824\"]\n  17 -> 30 [size =\"40141824\"]\n  18 [size=\"79714304\", alpha=\"0.10\", expect_size=\"39857152\"] \n  18 -> 28 [size =\"39857152\"]\n  18 -> 29 [size =\"39857152\"]\n  18 -> 30 [size =\"39857152\"]\n  19 [size=\"60913664\", alpha=\"0.10\", expect_size=\"30456832\"] \n  19 -> 28 [size =\"30456832\"]\n  19 -> 29 [size =\"30456832\"]\n  19 -> 30 [size =\"30456832\"]\n  20 [size=\"85094400\", alpha=\"0.17\", expect_size=\"42547200\"] \n  20 -> 27 [size =\"42547200\"]\n  20 -> 28 [size =\"42547200\"]\n  21 [size=\"103849984\", alpha=\"0.17\", expect_size=\"51924992\"] \n  21 -> 28 [size =\"51924992\"]\n  21 -> 28 [size =\"51924992\"]\n  22 [size=\"64657408\", alpha=\"0.11\", expect_size=\"32328704\"] \n  22 -> 30 [size =\"32328704\"]\n  23 [size=\"14594048\", alpha=\"0.16\", expect_size=\"7297024\"] \n  24 [size=\"100663296\", alpha=\"0.06\", expect_size=\"50331648\"] \n  24 -> 28 [size =\"50331648\"]\n  25 [size=\"35223552\", alpha=\"0.16\", expect_size=\"17611776\"] \n  25 -> 28 [size =\"17611776\"]\n  26 [size=\"17469440\", alpha=\"0.00\", expect_size=\"8734720\"] \n  26 -> 28 [size =\"8734720\"]\n  27 [size=\"48697344\", alpha=\"0.09\", expect_size=\"24348672\"] \n  28 [size=\"86788096\", alpha=\"0.12\", expect_size=\"43394048\"] \n  29 [size=\"37992448\", alpha=\"0.17\", expect_size=\"18996224\"] \n  30 [size=\"86099968\", alpha=\"0.13\", expect_size=\"43049984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100802560\", alpha=\"0.00\", expect_size=\"40321024\"] \n  1 -> 24 [size =\"40321024\"]\n  1 -> 26 [size =\"40321024\"]\n  2 [size=\"86937600\", alpha=\"0.04\", expect_size=\"34775040\"] \n  2 -> 23 [size =\"34775040\"]\n  2 -> 24 [size =\"34775040\"]\n  2 -> 25 [size =\"34775040\"]\n  2 -> 26 [size =\"34775040\"]\n  3 [size=\"37437440\", alpha=\"0.17\", expect_size=\"14974976\"] \n  3 -> 23 [size =\"14974976\"]\n  3 -> 24 [size =\"14974976\"]\n  3 -> 25 [size =\"14974976\"]\n  3 -> 26 [size =\"14974976\"]\n  3 -> 28 [size =\"14974976\"]\n  4 [size=\"81085440\", alpha=\"0.05\", expect_size=\"32434176\"] \n  4 -> 23 [size =\"32434176\"]\n  4 -> 24 [size =\"32434176\"]\n  4 -> 25 [size =\"32434176\"]\n  4 -> 26 [size =\"32434176\"]\n  4 -> 27 [size =\"32434176\"]\n  5 [size=\"126740480\", alpha=\"0.09\", expect_size=\"50696192\"] \n  5 -> 22 [size =\"50696192\"]\n  5 -> 24 [size =\"50696192\"]\n  5 -> 28 [size =\"50696192\"]\n  5 -> 29 [size =\"50696192\"]\n  6 [size=\"100605440\", alpha=\"0.04\", expect_size=\"40242176\"] \n  6 -> 21 [size =\"40242176\"]\n  6 -> 24 [size =\"40242176\"]\n  6 -> 25 [size =\"40242176\"]\n  6 -> 26 [size =\"40242176\"]\n  7 [size=\"59502080\", alpha=\"0.08\", expect_size=\"23800832\"] \n  7 -> 25 [size =\"23800832\"]\n  8 [size=\"130240000\", alpha=\"0.15\", expect_size=\"52096000\"] \n  8 -> 24 [size =\"52096000\"]\n  8 -> 25 [size =\"52096000\"]\n  9 [size=\"73262080\", alpha=\"0.19\", expect_size=\"29304832\"] \n  9 -> 21 [size =\"29304832\"]\n  9 -> 26 [size =\"29304832\"]\n  10 [size=\"38113280\", alpha=\"0.02\", expect_size=\"15245312\"] \n  10 -> 21 [size =\"15245312\"]\n  10 -> 24 [size =\"15245312\"]\n  10 -> 25 [size =\"15245312\"]\n  10 -> 26 [size =\"15245312\"]\n  11 [size=\"79457280\", alpha=\"0.13\", expect_size=\"31782912\"] \n  11 -> 24 [size =\"31782912\"]\n  11 -> 25 [size =\"31782912\"]\n  11 -> 27 [size =\"31782912\"]\n  12 [size=\"81697280\", alpha=\"0.15\", expect_size=\"32678912\"] \n  13 [size=\"106926080\", alpha=\"0.18\", expect_size=\"42770432\"] \n  13 -> 20 [size =\"42770432\"]\n  13 -> 21 [size =\"42770432\"]\n  13 -> 26 [size =\"42770432\"]\n  13 -> 30 [size =\"42770432\"]\n  14 [size=\"88721920\", alpha=\"0.02\", expect_size=\"35488768\"] \n  14 -> 21 [size =\"35488768\"]\n  14 -> 21 [size =\"35488768\"]\n  14 -> 22 [size =\"35488768\"]\n  14 -> 26 [size =\"35488768\"]\n  14 -> 30 [size =\"35488768\"]\n  15 [size=\"118443520\", alpha=\"0.00\", expect_size=\"47377408\"] \n  15 -> 21 [size =\"47377408\"]\n  15 -> 22 [size =\"47377408\"]\n  15 -> 23 [size =\"47377408\"]\n  16 [size=\"52060160\", alpha=\"0.08\", expect_size=\"20824064\"] \n  16 -> 23 [size =\"20824064\"]\n  16 -> 28 [size =\"20824064\"]\n  17 [size=\"75527680\", alpha=\"0.02\", expect_size=\"30211072\"] \n  17 -> 21 [size =\"30211072\"]\n  17 -> 26 [size =\"30211072\"]\n  17 -> 28 [size =\"30211072\"]\n  18 [size=\"124142080\", alpha=\"0.03\", expect_size=\"49656832\"] \n  18 -> 21 [size =\"49656832\"]\n  18 -> 24 [size =\"49656832\"]\n  18 -> 26 [size =\"49656832\"]\n  18 -> 29 [size =\"49656832\"]\n  19 [size=\"97474560\", alpha=\"0.02\", expect_size=\"38989824\"] \n  19 -> 26 [size =\"38989824\"]\n  19 -> 28 [size =\"38989824\"]\n  20 [size=\"92536320\", alpha=\"0.14\", expect_size=\"37014528\"] \n  21 [size=\"106690560\", alpha=\"0.01\", expect_size=\"42676224\"] \n  22 [size=\"65303040\", alpha=\"0.00\", expect_size=\"26121216\"] \n  23 [size=\"36920320\", alpha=\"0.04\", expect_size=\"14768128\"] \n  24 [size=\"22205440\", alpha=\"0.19\", expect_size=\"8882176\"] \n  25 [size=\"31296000\", alpha=\"0.14\", expect_size=\"12518400\"] \n  26 [size=\"32133120\", alpha=\"0.03\", expect_size=\"12853248\"] \n  27 [size=\"81574400\", alpha=\"0.20\", expect_size=\"32629760\"] \n  28 [size=\"94328320\", alpha=\"0.17\", expect_size=\"37731328\"] \n  29 [size=\"112737280\", alpha=\"0.04\", expect_size=\"45094912\"] \n  30 [size=\"122787840\", alpha=\"0.15\", expect_size=\"49115136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150606507\", alpha=\"0.08\", expect_size=\"45181952\"] \n  1 -> 21 [size =\"45181952\"]\n  1 -> 24 [size =\"45181952\"]\n  1 -> 26 [size =\"45181952\"]\n  1 -> 28 [size =\"45181952\"]\n  1 -> 28 [size =\"45181952\"]\n  1 -> 29 [size =\"45181952\"]\n  1 -> 30 [size =\"45181952\"]\n  2 [size=\"27661653\", alpha=\"0.16\", expect_size=\"8298496\"] \n  2 -> 21 [size =\"8298496\"]\n  2 -> 28 [size =\"8298496\"]\n  2 -> 29 [size =\"8298496\"]\n  2 -> 30 [size =\"8298496\"]\n  3 [size=\"145493333\", alpha=\"0.07\", expect_size=\"43648000\"] \n  3 -> 21 [size =\"43648000\"]\n  3 -> 22 [size =\"43648000\"]\n  3 -> 24 [size =\"43648000\"]\n  3 -> 28 [size =\"43648000\"]\n  3 -> 29 [size =\"43648000\"]\n  3 -> 30 [size =\"43648000\"]\n  4 [size=\"79769600\", alpha=\"0.17\", expect_size=\"23930880\"] \n  4 -> 21 [size =\"23930880\"]\n  4 -> 22 [size =\"23930880\"]\n  4 -> 25 [size =\"23930880\"]\n  4 -> 28 [size =\"23930880\"]\n  4 -> 29 [size =\"23930880\"]\n  4 -> 30 [size =\"23930880\"]\n  5 [size=\"165597867\", alpha=\"0.16\", expect_size=\"49679360\"] \n  5 -> 21 [size =\"49679360\"]\n  5 -> 22 [size =\"49679360\"]\n  5 -> 23 [size =\"49679360\"]\n  5 -> 25 [size =\"49679360\"]\n  5 -> 26 [size =\"49679360\"]\n  5 -> 28 [size =\"49679360\"]\n  5 -> 29 [size =\"49679360\"]\n  5 -> 30 [size =\"49679360\"]\n  6 [size=\"59098453\", alpha=\"0.00\", expect_size=\"17729536\"] \n  6 -> 21 [size =\"17729536\"]\n  6 -> 22 [size =\"17729536\"]\n  6 -> 26 [size =\"17729536\"]\n  6 -> 29 [size =\"17729536\"]\n  6 -> 30 [size =\"17729536\"]\n  7 [size=\"101055147\", alpha=\"0.06\", expect_size=\"30316544\"] \n  7 -> 21 [size =\"30316544\"]\n  7 -> 26 [size =\"30316544\"]\n  7 -> 26 [size =\"30316544\"]\n  7 -> 28 [size =\"30316544\"]\n  7 -> 29 [size =\"30316544\"]\n  7 -> 30 [size =\"30316544\"]\n  8 [size=\"131891200\", alpha=\"0.15\", expect_size=\"39567360\"] \n  8 -> 21 [size =\"39567360\"]\n  8 -> 24 [size =\"39567360\"]\n  8 -> 25 [size =\"39567360\"]\n  8 -> 26 [size =\"39567360\"]\n  8 -> 30 [size =\"39567360\"]\n  8 -> 30 [size =\"39567360\"]\n  9 [size=\"83606187\", alpha=\"0.03\", expect_size=\"25081856\"] \n  9 -> 21 [size =\"25081856\"]\n  9 -> 22 [size =\"25081856\"]\n  9 -> 30 [size =\"25081856\"]\n  10 [size=\"69256533\", alpha=\"0.10\", expect_size=\"20776960\"] \n  10 -> 21 [size =\"20776960\"]\n  10 -> 22 [size =\"20776960\"]\n  10 -> 26 [size =\"20776960\"]\n  10 -> 27 [size =\"20776960\"]\n  10 -> 30 [size =\"20776960\"]\n  11 [size=\"96791893\", alpha=\"0.14\", expect_size=\"29037568\"] \n  11 -> 21 [size =\"29037568\"]\n  11 -> 22 [size =\"29037568\"]\n  11 -> 26 [size =\"29037568\"]\n  11 -> 29 [size =\"29037568\"]\n  12 [size=\"157392213\", alpha=\"0.00\", expect_size=\"47217664\"] \n  12 -> 22 [size =\"47217664\"]\n  12 -> 22 [size =\"47217664\"]\n  12 -> 29 [size =\"47217664\"]\n  13 [size=\"126242133\", alpha=\"0.06\", expect_size=\"37872640\"] \n  13 -> 22 [size =\"37872640\"]\n  13 -> 29 [size =\"37872640\"]\n  13 -> 30 [size =\"37872640\"]\n  14 [size=\"25968640\", alpha=\"0.06\", expect_size=\"7790592\"] \n  14 -> 22 [size =\"7790592\"]\n  14 -> 23 [size =\"7790592\"]\n  14 -> 25 [size =\"7790592\"]\n  14 -> 28 [size =\"7790592\"]\n  15 [size=\"160160427\", alpha=\"0.13\", expect_size=\"48048128\"] \n  15 -> 22 [size =\"48048128\"]\n  15 -> 28 [size =\"48048128\"]\n  15 -> 29 [size =\"48048128\"]\n  16 [size=\"128375467\", alpha=\"0.19\", expect_size=\"38512640\"] \n  16 -> 21 [size =\"38512640\"]\n  16 -> 26 [size =\"38512640\"]\n  16 -> 27 [size =\"38512640\"]\n  16 -> 29 [size =\"38512640\"]\n  17 [size=\"131491840\", alpha=\"0.05\", expect_size=\"39447552\"] \n  17 -> 22 [size =\"39447552\"]\n  17 -> 23 [size =\"39447552\"]\n  17 -> 25 [size =\"39447552\"]\n  17 -> 26 [size =\"39447552\"]\n  17 -> 27 [size =\"39447552\"]\n  17 -> 30 [size =\"39447552\"]\n  18 [size=\"23698773\", alpha=\"0.05\", expect_size=\"7109632\"] \n  18 -> 21 [size =\"7109632\"]\n  18 -> 23 [size =\"7109632\"]\n  18 -> 26 [size =\"7109632\"]\n  18 -> 30 [size =\"7109632\"]\n  19 [size=\"138379947\", alpha=\"0.01\", expect_size=\"41513984\"] \n  19 -> 21 [size =\"41513984\"]\n  19 -> 22 [size =\"41513984\"]\n  19 -> 25 [size =\"41513984\"]\n  19 -> 26 [size =\"41513984\"]\n  19 -> 28 [size =\"41513984\"]\n  19 -> 29 [size =\"41513984\"]\n  20 [size=\"160293547\", alpha=\"0.18\", expect_size=\"48088064\"] \n  20 -> 21 [size =\"48088064\"]\n  20 -> 23 [size =\"48088064\"]\n  20 -> 24 [size =\"48088064\"]\n  20 -> 26 [size =\"48088064\"]\n  20 -> 28 [size =\"48088064\"]\n  20 -> 29 [size =\"48088064\"]\n  21 [size=\"84377600\", alpha=\"0.11\", expect_size=\"25313280\"] \n  22 [size=\"34969600\", alpha=\"0.06\", expect_size=\"10490880\"] \n  23 [size=\"37666133\", alpha=\"0.17\", expect_size=\"11299840\"] \n  24 [size=\"85002240\", alpha=\"0.16\", expect_size=\"25500672\"] \n  25 [size=\"132747947\", alpha=\"0.14\", expect_size=\"39824384\"] \n  26 [size=\"77783040\", alpha=\"0.17\", expect_size=\"23334912\"] \n  27 [size=\"69290667\", alpha=\"0.11\", expect_size=\"20787200\"] \n  28 [size=\"106984107\", alpha=\"0.19\", expect_size=\"32095232\"] \n  29 [size=\"145029120\", alpha=\"0.16\", expect_size=\"43508736\"] \n  30 [size=\"153791147\", alpha=\"0.19\", expect_size=\"46137344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118976000\", alpha=\"0.19\", expect_size=\"47590400\"] \n  1 -> 5 [size =\"47590400\"]\n  1 -> 6 [size =\"47590400\"]\n  2 [size=\"117836800\", alpha=\"0.16\", expect_size=\"47134720\"] \n  2 -> 5 [size =\"47134720\"]\n  2 -> 6 [size =\"47134720\"]\n  2 -> 7 [size =\"47134720\"]\n  3 [size=\"126855680\", alpha=\"0.06\", expect_size=\"50742272\"] \n  4 [size=\"33169920\", alpha=\"0.04\", expect_size=\"13267968\"] \n  4 -> 7 [size =\"13267968\"]\n  4 -> 8 [size =\"13267968\"]\n  5 [size=\"54883840\", alpha=\"0.18\", expect_size=\"21953536\"] \n  5 -> 12 [size =\"21953536\"]\n  6 [size=\"99573760\", alpha=\"0.10\", expect_size=\"39829504\"] \n  6 -> 13 [size =\"39829504\"]\n  7 [size=\"37043200\", alpha=\"0.05\", expect_size=\"14817280\"] \n  7 -> 9 [size =\"14817280\"]\n  7 -> 11 [size =\"14817280\"]\n  8 [size=\"112499200\", alpha=\"0.12\", expect_size=\"44999680\"] \n  8 -> 10 [size =\"44999680\"]\n  9 [size=\"124098560\", alpha=\"0.11\", expect_size=\"49639424\"] \n  9 -> 14 [size =\"49639424\"]\n  9 -> 15 [size =\"49639424\"]\n  9 -> 18 [size =\"49639424\"]\n  10 [size=\"102054400\", alpha=\"0.11\", expect_size=\"40821760\"] \n  10 -> 15 [size =\"40821760\"]\n  10 -> 16 [size =\"40821760\"]\n  10 -> 17 [size =\"40821760\"]\n  10 -> 18 [size =\"40821760\"]\n  11 [size=\"108974080\", alpha=\"0.20\", expect_size=\"43589632\"] \n  11 -> 16 [size =\"43589632\"]\n  11 -> 17 [size =\"43589632\"]\n  12 [size=\"104215040\", alpha=\"0.04\", expect_size=\"41686016\"] \n  12 -> 14 [size =\"41686016\"]\n  12 -> 15 [size =\"41686016\"]\n  12 -> 17 [size =\"41686016\"]\n  13 [size=\"82178560\", alpha=\"0.03\", expect_size=\"32871424\"] \n  13 -> 16 [size =\"32871424\"]\n  13 -> 18 [size =\"32871424\"]\n  14 [size=\"114731520\", alpha=\"0.19\", expect_size=\"45892608\"] \n  14 -> 20 [size =\"45892608\"]\n  14 -> 21 [size =\"45892608\"]\n  15 [size=\"19630080\", alpha=\"0.03\", expect_size=\"7852032\"] \n  15 -> 19 [size =\"7852032\"]\n  15 -> 20 [size =\"7852032\"]\n  15 -> 21 [size =\"7852032\"]\n  16 [size=\"127764480\", alpha=\"0.13\", expect_size=\"51105792\"] \n  17 [size=\"66319360\", alpha=\"0.10\", expect_size=\"26527744\"] \n  17 -> 19 [size =\"26527744\"]\n  17 -> 22 [size =\"26527744\"]\n  18 [size=\"93012480\", alpha=\"0.10\", expect_size=\"37204992\"] \n  18 -> 21 [size =\"37204992\"]\n  19 [size=\"44405760\", alpha=\"0.09\", expect_size=\"17762304\"] \n  19 -> 23 [size =\"17762304\"]\n  19 -> 26 [size =\"17762304\"]\n  20 [size=\"108689920\", alpha=\"0.14\", expect_size=\"43475968\"] \n  20 -> 24 [size =\"43475968\"]\n  21 [size=\"56504320\", alpha=\"0.17\", expect_size=\"22601728\"] \n  21 -> 23 [size =\"22601728\"]\n  21 -> 25 [size =\"22601728\"]\n  21 -> 26 [size =\"22601728\"]\n  22 [size=\"55319040\", alpha=\"0.18\", expect_size=\"22127616\"] \n  23 [size=\"81108480\", alpha=\"0.17\", expect_size=\"32443392\"] \n  23 -> 29 [size =\"32443392\"]\n  23 -> 30 [size =\"32443392\"]\n  24 [size=\"99276800\", alpha=\"0.01\", expect_size=\"39710720\"] \n  24 -> 29 [size =\"39710720\"]\n  25 [size=\"94499840\", alpha=\"0.11\", expect_size=\"37799936\"] \n  25 -> 27 [size =\"37799936\"]\n  25 -> 30 [size =\"37799936\"]\n  26 [size=\"112204800\", alpha=\"0.16\", expect_size=\"44881920\"] \n  26 -> 28 [size =\"44881920\"]\n  27 [size=\"69358080\", alpha=\"0.05\", expect_size=\"27743232\"] \n  28 [size=\"127956480\", alpha=\"0.11\", expect_size=\"51182592\"] \n  29 [size=\"66263040\", alpha=\"0.16\", expect_size=\"26505216\"] \n  30 [size=\"120819200\", alpha=\"0.16\", expect_size=\"48327680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26880000\", alpha=\"0.02\", expect_size=\"8064000\"] \n  1 -> 18 [size =\"8064000\"]\n  1 -> 20 [size =\"8064000\"]\n  1 -> 26 [size =\"8064000\"]\n  2 [size=\"88470187\", alpha=\"0.20\", expect_size=\"26541056\"] \n  2 -> 18 [size =\"26541056\"]\n  2 -> 20 [size =\"26541056\"]\n  2 -> 27 [size =\"26541056\"]\n  3 [size=\"102389760\", alpha=\"0.18\", expect_size=\"30716928\"] \n  3 -> 18 [size =\"30716928\"]\n  3 -> 19 [size =\"30716928\"]\n  3 -> 20 [size =\"30716928\"]\n  3 -> 21 [size =\"30716928\"]\n  3 -> 22 [size =\"30716928\"]\n  3 -> 23 [size =\"30716928\"]\n  3 -> 26 [size =\"30716928\"]\n  3 -> 28 [size =\"30716928\"]\n  3 -> 29 [size =\"30716928\"]\n  4 [size=\"25091413\", alpha=\"0.01\", expect_size=\"7527424\"] \n  4 -> 18 [size =\"7527424\"]\n  4 -> 19 [size =\"7527424\"]\n  4 -> 21 [size =\"7527424\"]\n  4 -> 22 [size =\"7527424\"]\n  4 -> 23 [size =\"7527424\"]\n  4 -> 28 [size =\"7527424\"]\n  4 -> 29 [size =\"7527424\"]\n  5 [size=\"161208320\", alpha=\"0.01\", expect_size=\"48362496\"] \n  5 -> 20 [size =\"48362496\"]\n  5 -> 28 [size =\"48362496\"]\n  5 -> 29 [size =\"48362496\"]\n  6 [size=\"69126827\", alpha=\"0.13\", expect_size=\"20738048\"] \n  6 -> 20 [size =\"20738048\"]\n  6 -> 26 [size =\"20738048\"]\n  6 -> 27 [size =\"20738048\"]\n  7 [size=\"69171200\", alpha=\"0.13\", expect_size=\"20751360\"] \n  7 -> 20 [size =\"20751360\"]\n  7 -> 21 [size =\"20751360\"]\n  7 -> 22 [size =\"20751360\"]\n  7 -> 27 [size =\"20751360\"]\n  7 -> 28 [size =\"20751360\"]\n  8 [size=\"130891093\", alpha=\"0.13\", expect_size=\"39267328\"] \n  8 -> 19 [size =\"39267328\"]\n  8 -> 21 [size =\"39267328\"]\n  8 -> 29 [size =\"39267328\"]\n  8 -> 30 [size =\"39267328\"]\n  9 [size=\"138608640\", alpha=\"0.10\", expect_size=\"41582592\"] \n  9 -> 19 [size =\"41582592\"]\n  9 -> 20 [size =\"41582592\"]\n  9 -> 21 [size =\"41582592\"]\n  9 -> 25 [size =\"41582592\"]\n  9 -> 26 [size =\"41582592\"]\n  9 -> 28 [size =\"41582592\"]\n  10 [size=\"32713387\", alpha=\"0.17\", expect_size=\"9814016\"] \n  10 -> 19 [size =\"9814016\"]\n  10 -> 21 [size =\"9814016\"]\n  10 -> 23 [size =\"9814016\"]\n  10 -> 29 [size =\"9814016\"]\n  11 [size=\"84493653\", alpha=\"0.06\", expect_size=\"25348096\"] \n  11 -> 20 [size =\"25348096\"]\n  11 -> 21 [size =\"25348096\"]\n  11 -> 26 [size =\"25348096\"]\n  11 -> 27 [size =\"25348096\"]\n  11 -> 28 [size =\"25348096\"]\n  11 -> 29 [size =\"25348096\"]\n  12 [size=\"103918933\", alpha=\"0.11\", expect_size=\"31175680\"] \n  12 -> 19 [size =\"31175680\"]\n  12 -> 21 [size =\"31175680\"]\n  12 -> 24 [size =\"31175680\"]\n  12 -> 25 [size =\"31175680\"]\n  12 -> 26 [size =\"31175680\"]\n  12 -> 28 [size =\"31175680\"]\n  12 -> 30 [size =\"31175680\"]\n  13 [size=\"101468160\", alpha=\"0.14\", expect_size=\"30440448\"] \n  13 -> 21 [size =\"30440448\"]\n  13 -> 23 [size =\"30440448\"]\n  13 -> 25 [size =\"30440448\"]\n  13 -> 25 [size =\"30440448\"]\n  13 -> 26 [size =\"30440448\"]\n  14 [size=\"86217387\", alpha=\"0.06\", expect_size=\"25865216\"] \n  14 -> 19 [size =\"25865216\"]\n  14 -> 21 [size =\"25865216\"]\n  15 [size=\"96180907\", alpha=\"0.10\", expect_size=\"28854272\"] \n  15 -> 23 [size =\"28854272\"]\n  15 -> 26 [size =\"28854272\"]\n  15 -> 28 [size =\"28854272\"]\n  15 -> 29 [size =\"28854272\"]\n  16 [size=\"100570453\", alpha=\"0.01\", expect_size=\"30171136\"] \n  16 -> 22 [size =\"30171136\"]\n  16 -> 29 [size =\"30171136\"]\n  17 [size=\"48878933\", alpha=\"0.11\", expect_size=\"14663680\"] \n  17 -> 29 [size =\"14663680\"]\n  18 [size=\"148097707\", alpha=\"0.10\", expect_size=\"44429312\"] \n  19 [size=\"93381973\", alpha=\"0.02\", expect_size=\"28014592\"] \n  20 [size=\"174585173\", alpha=\"0.18\", expect_size=\"52375552\"] \n  21 [size=\"147688107\", alpha=\"0.16\", expect_size=\"44306432\"] \n  22 [size=\"34358613\", alpha=\"0.02\", expect_size=\"10307584\"] \n  23 [size=\"121924267\", alpha=\"0.19\", expect_size=\"36577280\"] \n  24 [size=\"71850667\", alpha=\"0.17\", expect_size=\"21555200\"] \n  25 [size=\"117865813\", alpha=\"0.14\", expect_size=\"35359744\"] \n  26 [size=\"36386133\", alpha=\"0.17\", expect_size=\"10915840\"] \n  27 [size=\"45100373\", alpha=\"0.06\", expect_size=\"13530112\"] \n  28 [size=\"135144107\", alpha=\"0.10\", expect_size=\"40543232\"] \n  29 [size=\"56709120\", alpha=\"0.09\", expect_size=\"17012736\"] \n  30 [size=\"73598293\", alpha=\"0.11\", expect_size=\"22079488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32552960\", alpha=\"0.20\", expect_size=\"13021184\"] \n  1 -> 13 [size =\"13021184\"]\n  1 -> 14 [size =\"13021184\"]\n  1 -> 16 [size =\"13021184\"]\n  1 -> 18 [size =\"13021184\"]\n  1 -> 22 [size =\"13021184\"]\n  1 -> 23 [size =\"13021184\"]\n  1 -> 26 [size =\"13021184\"]\n  1 -> 28 [size =\"13021184\"]\n  2 [size=\"118425600\", alpha=\"0.12\", expect_size=\"47370240\"] \n  2 -> 13 [size =\"47370240\"]\n  2 -> 14 [size =\"47370240\"]\n  2 -> 17 [size =\"47370240\"]\n  2 -> 19 [size =\"47370240\"]\n  2 -> 20 [size =\"47370240\"]\n  2 -> 22 [size =\"47370240\"]\n  2 -> 26 [size =\"47370240\"]\n  2 -> 29 [size =\"47370240\"]\n  3 [size=\"30881280\", alpha=\"0.08\", expect_size=\"12352512\"] \n  3 -> 13 [size =\"12352512\"]\n  3 -> 19 [size =\"12352512\"]\n  3 -> 23 [size =\"12352512\"]\n  3 -> 26 [size =\"12352512\"]\n  3 -> 27 [size =\"12352512\"]\n  3 -> 28 [size =\"12352512\"]\n  3 -> 29 [size =\"12352512\"]\n  3 -> 29 [size =\"12352512\"]\n  3 -> 30 [size =\"12352512\"]\n  4 [size=\"115985920\", alpha=\"0.13\", expect_size=\"46394368\"] \n  4 -> 13 [size =\"46394368\"]\n  4 -> 14 [size =\"46394368\"]\n  4 -> 18 [size =\"46394368\"]\n  4 -> 19 [size =\"46394368\"]\n  4 -> 21 [size =\"46394368\"]\n  4 -> 26 [size =\"46394368\"]\n  4 -> 27 [size =\"46394368\"]\n  4 -> 29 [size =\"46394368\"]\n  5 [size=\"59944960\", alpha=\"0.08\", expect_size=\"23977984\"] \n  5 -> 12 [size =\"23977984\"]\n  5 -> 13 [size =\"23977984\"]\n  5 -> 16 [size =\"23977984\"]\n  5 -> 17 [size =\"23977984\"]\n  5 -> 19 [size =\"23977984\"]\n  5 -> 23 [size =\"23977984\"]\n  5 -> 26 [size =\"23977984\"]\n  5 -> 30 [size =\"23977984\"]\n  6 [size=\"114214400\", alpha=\"0.20\", expect_size=\"45685760\"] \n  6 -> 12 [size =\"45685760\"]\n  6 -> 13 [size =\"45685760\"]\n  6 -> 16 [size =\"45685760\"]\n  6 -> 19 [size =\"45685760\"]\n  6 -> 22 [size =\"45685760\"]\n  6 -> 23 [size =\"45685760\"]\n  6 -> 25 [size =\"45685760\"]\n  6 -> 26 [size =\"45685760\"]\n  6 -> 28 [size =\"45685760\"]\n  6 -> 30 [size =\"45685760\"]\n  7 [size=\"127976960\", alpha=\"0.01\", expect_size=\"51190784\"] \n  7 -> 12 [size =\"51190784\"]\n  7 -> 19 [size =\"51190784\"]\n  7 -> 20 [size =\"51190784\"]\n  7 -> 22 [size =\"51190784\"]\n  7 -> 23 [size =\"51190784\"]\n  7 -> 25 [size =\"51190784\"]\n  7 -> 26 [size =\"51190784\"]\n  7 -> 26 [size =\"51190784\"]\n  7 -> 29 [size =\"51190784\"]\n  7 -> 30 [size =\"51190784\"]\n  8 [size=\"67834880\", alpha=\"0.12\", expect_size=\"27133952\"] \n  8 -> 12 [size =\"27133952\"]\n  8 -> 13 [size =\"27133952\"]\n  8 -> 16 [size =\"27133952\"]\n  8 -> 20 [size =\"27133952\"]\n  8 -> 22 [size =\"27133952\"]\n  8 -> 23 [size =\"27133952\"]\n  8 -> 26 [size =\"27133952\"]\n  8 -> 29 [size =\"27133952\"]\n  8 -> 30 [size =\"27133952\"]\n  9 [size=\"35594240\", alpha=\"0.14\", expect_size=\"14237696\"] \n  9 -> 12 [size =\"14237696\"]\n  9 -> 22 [size =\"14237696\"]\n  9 -> 23 [size =\"14237696\"]\n  9 -> 24 [size =\"14237696\"]\n  9 -> 27 [size =\"14237696\"]\n  9 -> 28 [size =\"14237696\"]\n  9 -> 29 [size =\"14237696\"]\n  9 -> 29 [size =\"14237696\"]\n  10 [size=\"39754240\", alpha=\"0.15\", expect_size=\"15901696\"] \n  10 -> 12 [size =\"15901696\"]\n  10 -> 15 [size =\"15901696\"]\n  10 -> 16 [size =\"15901696\"]\n  10 -> 18 [size =\"15901696\"]\n  10 -> 19 [size =\"15901696\"]\n  10 -> 22 [size =\"15901696\"]\n  10 -> 26 [size =\"15901696\"]\n  10 -> 27 [size =\"15901696\"]\n  10 -> 29 [size =\"15901696\"]\n  10 -> 30 [size =\"15901696\"]\n  11 [size=\"117117440\", alpha=\"0.16\", expect_size=\"46846976\"] \n  11 -> 17 [size =\"46846976\"]\n  11 -> 19 [size =\"46846976\"]\n  11 -> 20 [size =\"46846976\"]\n  11 -> 22 [size =\"46846976\"]\n  11 -> 23 [size =\"46846976\"]\n  11 -> 28 [size =\"46846976\"]\n  11 -> 29 [size =\"46846976\"]\n  11 -> 30 [size =\"46846976\"]\n  12 [size=\"116185600\", alpha=\"0.06\", expect_size=\"46474240\"] \n  13 [size=\"66063360\", alpha=\"0.12\", expect_size=\"26425344\"] \n  14 [size=\"115927040\", alpha=\"0.11\", expect_size=\"46370816\"] \n  15 [size=\"76728320\", alpha=\"0.03\", expect_size=\"30691328\"] \n  16 [size=\"122977280\", alpha=\"0.12\", expect_size=\"49190912\"] \n  17 [size=\"122513920\", alpha=\"0.04\", expect_size=\"49005568\"] \n  18 [size=\"126945280\", alpha=\"0.02\", expect_size=\"50778112\"] \n  19 [size=\"81164800\", alpha=\"0.12\", expect_size=\"32465920\"] \n  20 [size=\"46074880\", alpha=\"0.13\", expect_size=\"18429952\"] \n  21 [size=\"14446080\", alpha=\"0.17\", expect_size=\"5778432\"] \n  22 [size=\"111459840\", alpha=\"0.19\", expect_size=\"44583936\"] \n  23 [size=\"31411200\", alpha=\"0.04\", expect_size=\"12564480\"] \n  24 [size=\"103992320\", alpha=\"0.06\", expect_size=\"41596928\"] \n  25 [size=\"48348160\", alpha=\"0.16\", expect_size=\"19339264\"] \n  26 [size=\"64430080\", alpha=\"0.04\", expect_size=\"25772032\"] \n  27 [size=\"16709120\", alpha=\"0.11\", expect_size=\"6683648\"] \n  28 [size=\"42680320\", alpha=\"0.07\", expect_size=\"17072128\"] \n  29 [size=\"55326720\", alpha=\"0.07\", expect_size=\"22130688\"] \n  30 [size=\"126474240\", alpha=\"0.11\", expect_size=\"50589696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103462400\", alpha=\"0.07\", expect_size=\"41384960\"] \n  1 -> 18 [size =\"41384960\"]\n  1 -> 19 [size =\"41384960\"]\n  1 -> 22 [size =\"41384960\"]\n  1 -> 23 [size =\"41384960\"]\n  1 -> 24 [size =\"41384960\"]\n  1 -> 26 [size =\"41384960\"]\n  1 -> 28 [size =\"41384960\"]\n  1 -> 29 [size =\"41384960\"]\n  2 [size=\"110950400\", alpha=\"0.13\", expect_size=\"44380160\"] \n  2 -> 16 [size =\"44380160\"]\n  2 -> 17 [size =\"44380160\"]\n  2 -> 18 [size =\"44380160\"]\n  2 -> 19 [size =\"44380160\"]\n  2 -> 22 [size =\"44380160\"]\n  2 -> 23 [size =\"44380160\"]\n  2 -> 25 [size =\"44380160\"]\n  3 [size=\"102251520\", alpha=\"0.09\", expect_size=\"40900608\"] \n  3 -> 16 [size =\"40900608\"]\n  3 -> 17 [size =\"40900608\"]\n  3 -> 18 [size =\"40900608\"]\n  3 -> 19 [size =\"40900608\"]\n  3 -> 22 [size =\"40900608\"]\n  3 -> 23 [size =\"40900608\"]\n  3 -> 24 [size =\"40900608\"]\n  3 -> 25 [size =\"40900608\"]\n  3 -> 27 [size =\"40900608\"]\n  3 -> 28 [size =\"40900608\"]\n  3 -> 29 [size =\"40900608\"]\n  4 [size=\"35379200\", alpha=\"0.15\", expect_size=\"14151680\"] \n  4 -> 16 [size =\"14151680\"]\n  4 -> 17 [size =\"14151680\"]\n  4 -> 18 [size =\"14151680\"]\n  4 -> 19 [size =\"14151680\"]\n  4 -> 22 [size =\"14151680\"]\n  4 -> 23 [size =\"14151680\"]\n  4 -> 24 [size =\"14151680\"]\n  4 -> 25 [size =\"14151680\"]\n  4 -> 28 [size =\"14151680\"]\n  5 [size=\"56967680\", alpha=\"0.15\", expect_size=\"22787072\"] \n  5 -> 16 [size =\"22787072\"]\n  5 -> 20 [size =\"22787072\"]\n  5 -> 22 [size =\"22787072\"]\n  6 [size=\"116398080\", alpha=\"0.06\", expect_size=\"46559232\"] \n  6 -> 21 [size =\"46559232\"]\n  6 -> 22 [size =\"46559232\"]\n  6 -> 22 [size =\"46559232\"]\n  6 -> 23 [size =\"46559232\"]\n  6 -> 24 [size =\"46559232\"]\n  6 -> 25 [size =\"46559232\"]\n  6 -> 30 [size =\"46559232\"]\n  7 [size=\"84664320\", alpha=\"0.19\", expect_size=\"33865728\"] \n  7 -> 16 [size =\"33865728\"]\n  7 -> 21 [size =\"33865728\"]\n  7 -> 24 [size =\"33865728\"]\n  7 -> 29 [size =\"33865728\"]\n  8 [size=\"35768320\", alpha=\"0.01\", expect_size=\"14307328\"] \n  8 -> 16 [size =\"14307328\"]\n  8 -> 17 [size =\"14307328\"]\n  8 -> 18 [size =\"14307328\"]\n  8 -> 19 [size =\"14307328\"]\n  8 -> 24 [size =\"14307328\"]\n  8 -> 25 [size =\"14307328\"]\n  8 -> 27 [size =\"14307328\"]\n  9 [size=\"24133120\", alpha=\"0.17\", expect_size=\"9653248\"] \n  9 -> 16 [size =\"9653248\"]\n  9 -> 17 [size =\"9653248\"]\n  9 -> 18 [size =\"9653248\"]\n  9 -> 19 [size =\"9653248\"]\n  9 -> 21 [size =\"9653248\"]\n  9 -> 24 [size =\"9653248\"]\n  9 -> 25 [size =\"9653248\"]\n  10 [size=\"111467520\", alpha=\"0.02\", expect_size=\"44587008\"] \n  10 -> 17 [size =\"44587008\"]\n  10 -> 18 [size =\"44587008\"]\n  10 -> 23 [size =\"44587008\"]\n  10 -> 28 [size =\"44587008\"]\n  11 [size=\"108912640\", alpha=\"0.07\", expect_size=\"43565056\"] \n  11 -> 24 [size =\"43565056\"]\n  11 -> 28 [size =\"43565056\"]\n  11 -> 29 [size =\"43565056\"]\n  12 [size=\"32929280\", alpha=\"0.11\", expect_size=\"13171712\"] \n  12 -> 17 [size =\"13171712\"]\n  12 -> 22 [size =\"13171712\"]\n  12 -> 23 [size =\"13171712\"]\n  12 -> 24 [size =\"13171712\"]\n  12 -> 25 [size =\"13171712\"]\n  12 -> 27 [size =\"13171712\"]\n  12 -> 29 [size =\"13171712\"]\n  13 [size=\"110801920\", alpha=\"0.00\", expect_size=\"44320768\"] \n  13 -> 16 [size =\"44320768\"]\n  13 -> 17 [size =\"44320768\"]\n  13 -> 23 [size =\"44320768\"]\n  14 [size=\"44231680\", alpha=\"0.14\", expect_size=\"17692672\"] \n  14 -> 18 [size =\"17692672\"]\n  14 -> 25 [size =\"17692672\"]\n  14 -> 29 [size =\"17692672\"]\n  15 [size=\"16419840\", alpha=\"0.15\", expect_size=\"6567936\"] \n  15 -> 19 [size =\"6567936\"]\n  15 -> 22 [size =\"6567936\"]\n  15 -> 25 [size =\"6567936\"]\n  15 -> 26 [size =\"6567936\"]\n  15 -> 27 [size =\"6567936\"]\n  15 -> 28 [size =\"6567936\"]\n  15 -> 29 [size =\"6567936\"]\n  15 -> 30 [size =\"6567936\"]\n  16 [size=\"104540160\", alpha=\"0.02\", expect_size=\"41816064\"] \n  17 [size=\"23139840\", alpha=\"0.06\", expect_size=\"9255936\"] \n  18 [size=\"15075840\", alpha=\"0.03\", expect_size=\"6030336\"] \n  19 [size=\"21777920\", alpha=\"0.00\", expect_size=\"8711168\"] \n  20 [size=\"124556800\", alpha=\"0.05\", expect_size=\"49822720\"] \n  21 [size=\"20062720\", alpha=\"0.05\", expect_size=\"8025088\"] \n  22 [size=\"60303360\", alpha=\"0.02\", expect_size=\"24121344\"] \n  23 [size=\"126072320\", alpha=\"0.14\", expect_size=\"50428928\"] \n  24 [size=\"127866880\", alpha=\"0.10\", expect_size=\"51146752\"] \n  25 [size=\"95324160\", alpha=\"0.13\", expect_size=\"38129664\"] \n  26 [size=\"65049600\", alpha=\"0.14\", expect_size=\"26019840\"] \n  27 [size=\"74398720\", alpha=\"0.07\", expect_size=\"29759488\"] \n  28 [size=\"109885440\", alpha=\"0.04\", expect_size=\"43954176\"] \n  29 [size=\"125591040\", alpha=\"0.02\", expect_size=\"50236416\"] \n  30 [size=\"125977600\", alpha=\"0.17\", expect_size=\"50391040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31616000\", alpha=\"0.16\", expect_size=\"12646400\"] \n  1 -> 14 [size =\"12646400\"]\n  2 [size=\"18291200\", alpha=\"0.04\", expect_size=\"7316480\"] \n  2 -> 14 [size =\"7316480\"]\n  2 -> 16 [size =\"7316480\"]\n  2 -> 19 [size =\"7316480\"]\n  3 [size=\"126668800\", alpha=\"0.08\", expect_size=\"50667520\"] \n  3 -> 12 [size =\"50667520\"]\n  3 -> 14 [size =\"50667520\"]\n  4 [size=\"121395200\", alpha=\"0.18\", expect_size=\"48558080\"] \n  4 -> 13 [size =\"48558080\"]\n  4 -> 16 [size =\"48558080\"]\n  4 -> 18 [size =\"48558080\"]\n  5 [size=\"106306560\", alpha=\"0.18\", expect_size=\"42522624\"] \n  5 -> 14 [size =\"42522624\"]\n  5 -> 15 [size =\"42522624\"]\n  5 -> 18 [size =\"42522624\"]\n  6 [size=\"47744000\", alpha=\"0.03\", expect_size=\"19097600\"] \n  6 -> 13 [size =\"19097600\"]\n  6 -> 14 [size =\"19097600\"]\n  6 -> 15 [size =\"19097600\"]\n  6 -> 16 [size =\"19097600\"]\n  7 [size=\"76582400\", alpha=\"0.10\", expect_size=\"30632960\"] \n  7 -> 13 [size =\"30632960\"]\n  7 -> 15 [size =\"30632960\"]\n  7 -> 16 [size =\"30632960\"]\n  7 -> 18 [size =\"30632960\"]\n  8 [size=\"130204160\", alpha=\"0.19\", expect_size=\"52081664\"] \n  8 -> 16 [size =\"52081664\"]\n  8 -> 17 [size =\"52081664\"]\n  8 -> 18 [size =\"52081664\"]\n  9 [size=\"89392640\", alpha=\"0.12\", expect_size=\"35757056\"] \n  9 -> 13 [size =\"35757056\"]\n  9 -> 15 [size =\"35757056\"]\n  10 [size=\"67914240\", alpha=\"0.15\", expect_size=\"27165696\"] \n  10 -> 18 [size =\"27165696\"]\n  10 -> 19 [size =\"27165696\"]\n  11 [size=\"31004160\", alpha=\"0.05\", expect_size=\"12401664\"] \n  11 -> 14 [size =\"12401664\"]\n  11 -> 15 [size =\"12401664\"]\n  12 [size=\"125309440\", alpha=\"0.09\", expect_size=\"50123776\"] \n  12 -> 20 [size =\"50123776\"]\n  12 -> 25 [size =\"50123776\"]\n  12 -> 27 [size =\"50123776\"]\n  13 [size=\"32309760\", alpha=\"0.12\", expect_size=\"12923904\"] \n  14 [size=\"81018880\", alpha=\"0.09\", expect_size=\"32407552\"] \n  14 -> 24 [size =\"32407552\"]\n  15 [size=\"69012480\", alpha=\"0.02\", expect_size=\"27604992\"] \n  15 -> 23 [size =\"27604992\"]\n  15 -> 25 [size =\"27604992\"]\n  16 [size=\"59087360\", alpha=\"0.09\", expect_size=\"23634944\"] \n  16 -> 27 [size =\"23634944\"]\n  17 [size=\"74979840\", alpha=\"0.05\", expect_size=\"29991936\"] \n  17 -> 20 [size =\"29991936\"]\n  17 -> 22 [size =\"29991936\"]\n  17 -> 26 [size =\"29991936\"]\n  18 [size=\"18552320\", alpha=\"0.19\", expect_size=\"7420928\"] \n  18 -> 25 [size =\"7420928\"]\n  18 -> 27 [size =\"7420928\"]\n  19 [size=\"13514240\", alpha=\"0.15\", expect_size=\"5405696\"] \n  19 -> 21 [size =\"5405696\"]\n  19 -> 25 [size =\"5405696\"]\n  19 -> 27 [size =\"5405696\"]\n  20 [size=\"84049920\", alpha=\"0.15\", expect_size=\"33619968\"] \n  21 [size=\"57111040\", alpha=\"0.17\", expect_size=\"22844416\"] \n  22 [size=\"88161280\", alpha=\"0.01\", expect_size=\"35264512\"] \n  22 -> 28 [size =\"35264512\"]\n  22 -> 30 [size =\"35264512\"]\n  23 [size=\"21498880\", alpha=\"0.04\", expect_size=\"8599552\"] \n  23 -> 28 [size =\"8599552\"]\n  24 [size=\"93306880\", alpha=\"0.06\", expect_size=\"37322752\"] \n  25 [size=\"28951040\", alpha=\"0.03\", expect_size=\"11580416\"] \n  26 [size=\"43294720\", alpha=\"0.06\", expect_size=\"17317888\"] \n  26 -> 28 [size =\"17317888\"]\n  26 -> 30 [size =\"17317888\"]\n  27 [size=\"95623680\", alpha=\"0.20\", expect_size=\"38249472\"] \n  27 -> 28 [size =\"38249472\"]\n  27 -> 29 [size =\"38249472\"]\n  28 [size=\"124746240\", alpha=\"0.13\", expect_size=\"49898496\"] \n  29 [size=\"120832000\", alpha=\"0.00\", expect_size=\"48332800\"] \n  30 [size=\"89991680\", alpha=\"0.16\", expect_size=\"35996672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53510827\", alpha=\"0.08\", expect_size=\"16053248\"] \n  1 -> 2 [size =\"16053248\"]\n  2 [size=\"103212373\", alpha=\"0.13\", expect_size=\"30963712\"] \n  2 -> 3 [size =\"30963712\"]\n  3 [size=\"154606933\", alpha=\"0.06\", expect_size=\"46382080\"] \n  3 -> 4 [size =\"46382080\"]\n  4 [size=\"162095787\", alpha=\"0.01\", expect_size=\"48628736\"] \n  4 -> 5 [size =\"48628736\"]\n  5 [size=\"133201920\", alpha=\"0.03\", expect_size=\"39960576\"] \n  5 -> 6 [size =\"39960576\"]\n  6 [size=\"25777493\", alpha=\"0.03\", expect_size=\"7733248\"] \n  6 -> 7 [size =\"7733248\"]\n  7 [size=\"23063893\", alpha=\"0.03\", expect_size=\"6919168\"] \n  7 -> 8 [size =\"6919168\"]\n  8 [size=\"59770880\", alpha=\"0.17\", expect_size=\"17931264\"] \n  8 -> 9 [size =\"17931264\"]\n  9 [size=\"172171947\", alpha=\"0.02\", expect_size=\"51651584\"] \n  9 -> 10 [size =\"51651584\"]\n  10 [size=\"150766933\", alpha=\"0.03\", expect_size=\"45230080\"] \n  10 -> 11 [size =\"45230080\"]\n  11 [size=\"97501867\", alpha=\"0.06\", expect_size=\"29250560\"] \n  11 -> 12 [size =\"29250560\"]\n  12 [size=\"160945493\", alpha=\"0.09\", expect_size=\"48283648\"] \n  12 -> 13 [size =\"48283648\"]\n  13 [size=\"106888533\", alpha=\"0.06\", expect_size=\"32066560\"] \n  13 -> 14 [size =\"32066560\"]\n  14 [size=\"151125333\", alpha=\"0.08\", expect_size=\"45337600\"] \n  14 -> 15 [size =\"45337600\"]\n  15 [size=\"162856960\", alpha=\"0.16\", expect_size=\"48857088\"] \n  15 -> 16 [size =\"48857088\"]\n  16 [size=\"28061013\", alpha=\"0.06\", expect_size=\"8418304\"] \n  16 -> 17 [size =\"8418304\"]\n  17 [size=\"51056640\", alpha=\"0.06\", expect_size=\"15316992\"] \n  17 -> 18 [size =\"15316992\"]\n  18 [size=\"73065813\", alpha=\"0.14\", expect_size=\"21919744\"] \n  18 -> 19 [size =\"21919744\"]\n  19 [size=\"50517333\", alpha=\"0.07\", expect_size=\"15155200\"] \n  19 -> 20 [size =\"15155200\"]\n  20 [size=\"63092053\", alpha=\"0.15\", expect_size=\"18927616\"] \n  20 -> 21 [size =\"18927616\"]\n  21 [size=\"84428800\", alpha=\"0.07\", expect_size=\"25328640\"] \n  21 -> 22 [size =\"25328640\"]\n  22 [size=\"130781867\", alpha=\"0.10\", expect_size=\"39234560\"] \n  22 -> 23 [size =\"39234560\"]\n  23 [size=\"40663040\", alpha=\"0.11\", expect_size=\"12198912\"] \n  23 -> 24 [size =\"12198912\"]\n  24 [size=\"87473493\", alpha=\"0.10\", expect_size=\"26242048\"] \n  24 -> 25 [size =\"26242048\"]\n  25 [size=\"153774080\", alpha=\"0.03\", expect_size=\"46132224\"] \n  25 -> 26 [size =\"46132224\"]\n  26 [size=\"122337280\", alpha=\"0.18\", expect_size=\"36701184\"] \n  26 -> 27 [size =\"36701184\"]\n  27 [size=\"168625493\", alpha=\"0.13\", expect_size=\"50587648\"] \n  27 -> 28 [size =\"50587648\"]\n  28 [size=\"61265920\", alpha=\"0.14\", expect_size=\"18379776\"] \n  28 -> 29 [size =\"18379776\"]\n  29 [size=\"171161600\", alpha=\"0.14\", expect_size=\"51348480\"] \n  29 -> 30 [size =\"51348480\"]\n  30 [size=\"72785920\", alpha=\"0.12\", expect_size=\"21835776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60194816\", alpha=\"0.10\", expect_size=\"30097408\"] \n  1 -> 12 [size =\"30097408\"]\n  1 -> 13 [size =\"30097408\"]\n  2 [size=\"23324672\", alpha=\"0.08\", expect_size=\"11662336\"] \n  2 -> 11 [size =\"11662336\"]\n  2 -> 15 [size =\"11662336\"]\n  2 -> 19 [size =\"11662336\"]\n  3 [size=\"103346176\", alpha=\"0.14\", expect_size=\"51673088\"] \n  3 -> 10 [size =\"51673088\"]\n  3 -> 12 [size =\"51673088\"]\n  3 -> 16 [size =\"51673088\"]\n  3 -> 17 [size =\"51673088\"]\n  3 -> 19 [size =\"51673088\"]\n  4 [size=\"12777472\", alpha=\"0.16\", expect_size=\"6388736\"] \n  4 -> 10 [size =\"6388736\"]\n  4 -> 11 [size =\"6388736\"]\n  5 [size=\"72439808\", alpha=\"0.06\", expect_size=\"36219904\"] \n  5 -> 14 [size =\"36219904\"]\n  5 -> 15 [size =\"36219904\"]\n  5 -> 18 [size =\"36219904\"]\n  6 [size=\"21911552\", alpha=\"0.05\", expect_size=\"10955776\"] \n  6 -> 14 [size =\"10955776\"]\n  6 -> 19 [size =\"10955776\"]\n  7 [size=\"52776960\", alpha=\"0.20\", expect_size=\"26388480\"] \n  7 -> 14 [size =\"26388480\"]\n  7 -> 17 [size =\"26388480\"]\n  7 -> 19 [size =\"26388480\"]\n  8 [size=\"100747264\", alpha=\"0.17\", expect_size=\"50373632\"] \n  8 -> 10 [size =\"50373632\"]\n  8 -> 12 [size =\"50373632\"]\n  8 -> 14 [size =\"50373632\"]\n  8 -> 15 [size =\"50373632\"]\n  8 -> 16 [size =\"50373632\"]\n  8 -> 17 [size =\"50373632\"]\n  8 -> 19 [size =\"50373632\"]\n  9 [size=\"42369024\", alpha=\"0.17\", expect_size=\"21184512\"] \n  9 -> 10 [size =\"21184512\"]\n  9 -> 12 [size =\"21184512\"]\n  9 -> 14 [size =\"21184512\"]\n  9 -> 15 [size =\"21184512\"]\n  10 [size=\"45742080\", alpha=\"0.02\", expect_size=\"22871040\"] \n  10 -> 21 [size =\"22871040\"]\n  10 -> 26 [size =\"22871040\"]\n  10 -> 28 [size =\"22871040\"]\n  11 [size=\"76754944\", alpha=\"0.11\", expect_size=\"38377472\"] \n  11 -> 21 [size =\"38377472\"]\n  11 -> 26 [size =\"38377472\"]\n  11 -> 27 [size =\"38377472\"]\n  11 -> 28 [size =\"38377472\"]\n  12 [size=\"31744000\", alpha=\"0.07\", expect_size=\"15872000\"] \n  12 -> 21 [size =\"15872000\"]\n  12 -> 23 [size =\"15872000\"]\n  12 -> 25 [size =\"15872000\"]\n  12 -> 27 [size =\"15872000\"]\n  13 [size=\"67883008\", alpha=\"0.17\", expect_size=\"33941504\"] \n  13 -> 21 [size =\"33941504\"]\n  13 -> 28 [size =\"33941504\"]\n  14 [size=\"41263104\", alpha=\"0.13\", expect_size=\"20631552\"] \n  14 -> 20 [size =\"20631552\"]\n  15 [size=\"24322048\", alpha=\"0.07\", expect_size=\"12161024\"] \n  15 -> 20 [size =\"12161024\"]\n  15 -> 23 [size =\"12161024\"]\n  16 [size=\"53207040\", alpha=\"0.07\", expect_size=\"26603520\"] \n  16 -> 24 [size =\"26603520\"]\n  17 [size=\"76601344\", alpha=\"0.08\", expect_size=\"38300672\"] \n  17 -> 21 [size =\"38300672\"]\n  17 -> 22 [size =\"38300672\"]\n  17 -> 23 [size =\"38300672\"]\n  17 -> 26 [size =\"38300672\"]\n  17 -> 27 [size =\"38300672\"]\n  18 [size=\"75347968\", alpha=\"0.11\", expect_size=\"37673984\"] \n  18 -> 23 [size =\"37673984\"]\n  18 -> 24 [size =\"37673984\"]\n  18 -> 26 [size =\"37673984\"]\n  19 [size=\"61714432\", alpha=\"0.19\", expect_size=\"30857216\"] \n  19 -> 26 [size =\"30857216\"]\n  19 -> 28 [size =\"30857216\"]\n  20 [size=\"46503936\", alpha=\"0.18\", expect_size=\"23251968\"] \n  21 [size=\"57802752\", alpha=\"0.08\", expect_size=\"28901376\"] \n  22 [size=\"15831040\", alpha=\"0.00\", expect_size=\"7915520\"] \n  22 -> 29 [size =\"7915520\"]\n  22 -> 30 [size =\"7915520\"]\n  23 [size=\"47984640\", alpha=\"0.12\", expect_size=\"23992320\"] \n  24 [size=\"33042432\", alpha=\"0.05\", expect_size=\"16521216\"] \n  25 [size=\"96702464\", alpha=\"0.10\", expect_size=\"48351232\"] \n  25 -> 29 [size =\"48351232\"]\n  26 [size=\"37718016\", alpha=\"0.18\", expect_size=\"18859008\"] \n  27 [size=\"70500352\", alpha=\"0.15\", expect_size=\"35250176\"] \n  28 [size=\"13832192\", alpha=\"0.11\", expect_size=\"6916096\"] \n  29 [size=\"65437696\", alpha=\"0.14\", expect_size=\"32718848\"] \n  30 [size=\"61231104\", alpha=\"0.05\", expect_size=\"30615552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46940160\", alpha=\"0.18\", expect_size=\"23470080\"] \n  1 -> 25 [size =\"23470080\"]\n  1 -> 27 [size =\"23470080\"]\n  1 -> 29 [size =\"23470080\"]\n  2 [size=\"46080000\", alpha=\"0.15\", expect_size=\"23040000\"] \n  2 -> 25 [size =\"23040000\"]\n  2 -> 30 [size =\"23040000\"]\n  3 [size=\"95070208\", alpha=\"0.00\", expect_size=\"47535104\"] \n  3 -> 25 [size =\"47535104\"]\n  3 -> 26 [size =\"47535104\"]\n  3 -> 29 [size =\"47535104\"]\n  4 [size=\"41105408\", alpha=\"0.03\", expect_size=\"20552704\"] \n  4 -> 26 [size =\"20552704\"]\n  4 -> 28 [size =\"20552704\"]\n  4 -> 29 [size =\"20552704\"]\n  5 [size=\"87461888\", alpha=\"0.00\", expect_size=\"43730944\"] \n  5 -> 28 [size =\"43730944\"]\n  5 -> 29 [size =\"43730944\"]\n  5 -> 29 [size =\"43730944\"]\n  6 [size=\"32034816\", alpha=\"0.09\", expect_size=\"16017408\"] \n  6 -> 25 [size =\"16017408\"]\n  6 -> 27 [size =\"16017408\"]\n  6 -> 28 [size =\"16017408\"]\n  7 [size=\"68644864\", alpha=\"0.07\", expect_size=\"34322432\"] \n  7 -> 27 [size =\"34322432\"]\n  7 -> 27 [size =\"34322432\"]\n  7 -> 28 [size =\"34322432\"]\n  7 -> 29 [size =\"34322432\"]\n  7 -> 30 [size =\"34322432\"]\n  8 [size=\"85358592\", alpha=\"0.18\", expect_size=\"42679296\"] \n  8 -> 28 [size =\"42679296\"]\n  8 -> 29 [size =\"42679296\"]\n  9 [size=\"16678912\", alpha=\"0.01\", expect_size=\"8339456\"] \n  9 -> 28 [size =\"8339456\"]\n  9 -> 29 [size =\"8339456\"]\n  10 [size=\"60966912\", alpha=\"0.16\", expect_size=\"30483456\"] \n  10 -> 27 [size =\"30483456\"]\n  10 -> 28 [size =\"30483456\"]\n  10 -> 29 [size =\"30483456\"]\n  10 -> 30 [size =\"30483456\"]\n  11 [size=\"95924224\", alpha=\"0.15\", expect_size=\"47962112\"] \n  11 -> 27 [size =\"47962112\"]\n  11 -> 28 [size =\"47962112\"]\n  11 -> 29 [size =\"47962112\"]\n  11 -> 30 [size =\"47962112\"]\n  12 [size=\"85997568\", alpha=\"0.10\", expect_size=\"42998784\"] \n  12 -> 27 [size =\"42998784\"]\n  12 -> 28 [size =\"42998784\"]\n  12 -> 29 [size =\"42998784\"]\n  13 [size=\"60168192\", alpha=\"0.11\", expect_size=\"30084096\"] \n  13 -> 27 [size =\"30084096\"]\n  13 -> 28 [size =\"30084096\"]\n  13 -> 29 [size =\"30084096\"]\n  13 -> 30 [size =\"30084096\"]\n  14 [size=\"60485632\", alpha=\"0.02\", expect_size=\"30242816\"] \n  14 -> 27 [size =\"30242816\"]\n  14 -> 28 [size =\"30242816\"]\n  14 -> 29 [size =\"30242816\"]\n  15 [size=\"72620032\", alpha=\"0.06\", expect_size=\"36310016\"] \n  15 -> 26 [size =\"36310016\"]\n  15 -> 27 [size =\"36310016\"]\n  15 -> 28 [size =\"36310016\"]\n  15 -> 29 [size =\"36310016\"]\n  16 [size=\"74594304\", alpha=\"0.10\", expect_size=\"37297152\"] \n  16 -> 26 [size =\"37297152\"]\n  16 -> 27 [size =\"37297152\"]\n  16 -> 28 [size =\"37297152\"]\n  16 -> 29 [size =\"37297152\"]\n  17 [size=\"22364160\", alpha=\"0.17\", expect_size=\"11182080\"] \n  17 -> 27 [size =\"11182080\"]\n  17 -> 27 [size =\"11182080\"]\n  17 -> 28 [size =\"11182080\"]\n  17 -> 29 [size =\"11182080\"]\n  18 [size=\"55988224\", alpha=\"0.06\", expect_size=\"27994112\"] \n  18 -> 27 [size =\"27994112\"]\n  19 [size=\"48297984\", alpha=\"0.11\", expect_size=\"24148992\"] \n  19 -> 25 [size =\"24148992\"]\n  19 -> 27 [size =\"24148992\"]\n  19 -> 28 [size =\"24148992\"]\n  19 -> 29 [size =\"24148992\"]\n  19 -> 30 [size =\"24148992\"]\n  20 [size=\"50888704\", alpha=\"0.03\", expect_size=\"25444352\"] \n  20 -> 29 [size =\"25444352\"]\n  21 [size=\"30242816\", alpha=\"0.02\", expect_size=\"15121408\"] \n  21 -> 28 [size =\"15121408\"]\n  21 -> 29 [size =\"15121408\"]\n  22 [size=\"101169152\", alpha=\"0.09\", expect_size=\"50584576\"] \n  22 -> 25 [size =\"50584576\"]\n  22 -> 28 [size =\"50584576\"]\n  23 [size=\"53837824\", alpha=\"0.14\", expect_size=\"26918912\"] \n  23 -> 25 [size =\"26918912\"]\n  23 -> 30 [size =\"26918912\"]\n  24 [size=\"11634688\", alpha=\"0.05\", expect_size=\"5817344\"] \n  24 -> 25 [size =\"5817344\"]\n  24 -> 26 [size =\"5817344\"]\n  24 -> 29 [size =\"5817344\"]\n  25 [size=\"18780160\", alpha=\"0.12\", expect_size=\"9390080\"] \n  26 [size=\"48809984\", alpha=\"0.04\", expect_size=\"24404992\"] \n  27 [size=\"97302528\", alpha=\"0.09\", expect_size=\"48651264\"] \n  28 [size=\"85385216\", alpha=\"0.09\", expect_size=\"42692608\"] \n  29 [size=\"21544960\", alpha=\"0.11\", expect_size=\"10772480\"] \n  30 [size=\"75739136\", alpha=\"0.03\", expect_size=\"37869568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34877440\", alpha=\"0.19\", expect_size=\"17438720\"] \n  1 -> 11 [size =\"17438720\"]\n  1 -> 13 [size =\"17438720\"]\n  1 -> 13 [size =\"17438720\"]\n  1 -> 16 [size =\"17438720\"]\n  1 -> 17 [size =\"17438720\"]\n  1 -> 18 [size =\"17438720\"]\n  1 -> 19 [size =\"17438720\"]\n  2 [size=\"39831552\", alpha=\"0.04\", expect_size=\"19915776\"] \n  2 -> 11 [size =\"19915776\"]\n  2 -> 13 [size =\"19915776\"]\n  2 -> 17 [size =\"19915776\"]\n  2 -> 20 [size =\"19915776\"]\n  3 [size=\"59152384\", alpha=\"0.06\", expect_size=\"29576192\"] \n  3 -> 10 [size =\"29576192\"]\n  3 -> 11 [size =\"29576192\"]\n  3 -> 12 [size =\"29576192\"]\n  3 -> 13 [size =\"29576192\"]\n  3 -> 15 [size =\"29576192\"]\n  4 [size=\"78821376\", alpha=\"0.03\", expect_size=\"39410688\"] \n  4 -> 10 [size =\"39410688\"]\n  4 -> 18 [size =\"39410688\"]\n  4 -> 20 [size =\"39410688\"]\n  5 [size=\"92997632\", alpha=\"0.11\", expect_size=\"46498816\"] \n  5 -> 17 [size =\"46498816\"]\n  5 -> 20 [size =\"46498816\"]\n  6 [size=\"34861056\", alpha=\"0.09\", expect_size=\"17430528\"] \n  7 [size=\"81018880\", alpha=\"0.18\", expect_size=\"40509440\"] \n  7 -> 14 [size =\"40509440\"]\n  7 -> 16 [size =\"40509440\"]\n  8 [size=\"91594752\", alpha=\"0.12\", expect_size=\"45797376\"] \n  8 -> 10 [size =\"45797376\"]\n  8 -> 19 [size =\"45797376\"]\n  8 -> 20 [size =\"45797376\"]\n  9 [size=\"28514304\", alpha=\"0.06\", expect_size=\"14257152\"] \n  9 -> 10 [size =\"14257152\"]\n  9 -> 11 [size =\"14257152\"]\n  9 -> 13 [size =\"14257152\"]\n  10 [size=\"72480768\", alpha=\"0.15\", expect_size=\"36240384\"] \n  10 -> 21 [size =\"36240384\"]\n  10 -> 29 [size =\"36240384\"]\n  11 [size=\"35203072\", alpha=\"0.02\", expect_size=\"17601536\"] \n  11 -> 21 [size =\"17601536\"]\n  11 -> 23 [size =\"17601536\"]\n  12 [size=\"31639552\", alpha=\"0.02\", expect_size=\"15819776\"] \n  12 -> 21 [size =\"15819776\"]\n  12 -> 28 [size =\"15819776\"]\n  12 -> 29 [size =\"15819776\"]\n  13 [size=\"52000768\", alpha=\"0.15\", expect_size=\"26000384\"] \n  13 -> 25 [size =\"26000384\"]\n  13 -> 27 [size =\"26000384\"]\n  13 -> 29 [size =\"26000384\"]\n  14 [size=\"81831936\", alpha=\"0.10\", expect_size=\"40915968\"] \n  14 -> 25 [size =\"40915968\"]\n  14 -> 29 [size =\"40915968\"]\n  15 [size=\"96036864\", alpha=\"0.05\", expect_size=\"48018432\"] \n  15 -> 21 [size =\"48018432\"]\n  15 -> 23 [size =\"48018432\"]\n  15 -> 24 [size =\"48018432\"]\n  15 -> 25 [size =\"48018432\"]\n  16 [size=\"55355392\", alpha=\"0.10\", expect_size=\"27677696\"] \n  16 -> 26 [size =\"27677696\"]\n  16 -> 27 [size =\"27677696\"]\n  17 [size=\"98091008\", alpha=\"0.11\", expect_size=\"49045504\"] \n  17 -> 23 [size =\"49045504\"]\n  17 -> 25 [size =\"49045504\"]\n  18 [size=\"87785472\", alpha=\"0.10\", expect_size=\"43892736\"] \n  18 -> 23 [size =\"43892736\"]\n  19 [size=\"51953664\", alpha=\"0.13\", expect_size=\"25976832\"] \n  19 -> 21 [size =\"25976832\"]\n  19 -> 22 [size =\"25976832\"]\n  19 -> 23 [size =\"25976832\"]\n  20 [size=\"78583808\", alpha=\"0.10\", expect_size=\"39291904\"] \n  20 -> 25 [size =\"39291904\"]\n  20 -> 29 [size =\"39291904\"]\n  21 [size=\"56817664\", alpha=\"0.12\", expect_size=\"28408832\"] \n  22 [size=\"64651264\", alpha=\"0.20\", expect_size=\"32325632\"] \n  23 [size=\"72605696\", alpha=\"0.18\", expect_size=\"36302848\"] \n  24 [size=\"46704640\", alpha=\"0.11\", expect_size=\"23352320\"] \n  24 -> 30 [size =\"23352320\"]\n  25 [size=\"95422464\", alpha=\"0.02\", expect_size=\"47711232\"] \n  25 -> 30 [size =\"47711232\"]\n  26 [size=\"25919488\", alpha=\"0.17\", expect_size=\"12959744\"] \n  26 -> 30 [size =\"12959744\"]\n  27 [size=\"74356736\", alpha=\"0.08\", expect_size=\"37178368\"] \n  27 -> 30 [size =\"37178368\"]\n  28 [size=\"30527488\", alpha=\"0.15\", expect_size=\"15263744\"] \n  29 [size=\"78184448\", alpha=\"0.07\", expect_size=\"39092224\"] \n  30 [size=\"45047808\", alpha=\"0.12\", expect_size=\"22523904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38136320\", alpha=\"0.09\", expect_size=\"15254528\"] \n  1 -> 12 [size =\"15254528\"]\n  1 -> 14 [size =\"15254528\"]\n  1 -> 16 [size =\"15254528\"]\n  1 -> 17 [size =\"15254528\"]\n  1 -> 18 [size =\"15254528\"]\n  1 -> 19 [size =\"15254528\"]\n  1 -> 20 [size =\"15254528\"]\n  1 -> 22 [size =\"15254528\"]\n  2 [size=\"45585920\", alpha=\"0.01\", expect_size=\"18234368\"] \n  2 -> 12 [size =\"18234368\"]\n  2 -> 14 [size =\"18234368\"]\n  2 -> 18 [size =\"18234368\"]\n  2 -> 19 [size =\"18234368\"]\n  2 -> 20 [size =\"18234368\"]\n  3 [size=\"30648320\", alpha=\"0.09\", expect_size=\"12259328\"] \n  3 -> 12 [size =\"12259328\"]\n  3 -> 13 [size =\"12259328\"]\n  3 -> 16 [size =\"12259328\"]\n  3 -> 19 [size =\"12259328\"]\n  3 -> 20 [size =\"12259328\"]\n  3 -> 22 [size =\"12259328\"]\n  4 [size=\"111511040\", alpha=\"0.05\", expect_size=\"44604416\"] \n  4 -> 12 [size =\"44604416\"]\n  4 -> 13 [size =\"44604416\"]\n  4 -> 14 [size =\"44604416\"]\n  4 -> 16 [size =\"44604416\"]\n  4 -> 19 [size =\"44604416\"]\n  4 -> 20 [size =\"44604416\"]\n  5 [size=\"126656000\", alpha=\"0.02\", expect_size=\"50662400\"] \n  5 -> 13 [size =\"50662400\"]\n  5 -> 16 [size =\"50662400\"]\n  5 -> 19 [size =\"50662400\"]\n  5 -> 20 [size =\"50662400\"]\n  5 -> 21 [size =\"50662400\"]\n  6 [size=\"78202880\", alpha=\"0.13\", expect_size=\"31281152\"] \n  6 -> 16 [size =\"31281152\"]\n  6 -> 16 [size =\"31281152\"]\n  6 -> 17 [size =\"31281152\"]\n  6 -> 19 [size =\"31281152\"]\n  6 -> 20 [size =\"31281152\"]\n  6 -> 22 [size =\"31281152\"]\n  7 [size=\"71418880\", alpha=\"0.08\", expect_size=\"28567552\"] \n  7 -> 17 [size =\"28567552\"]\n  7 -> 19 [size =\"28567552\"]\n  7 -> 22 [size =\"28567552\"]\n  8 [size=\"79539200\", alpha=\"0.11\", expect_size=\"31815680\"] \n  8 -> 19 [size =\"31815680\"]\n  8 -> 20 [size =\"31815680\"]\n  8 -> 21 [size =\"31815680\"]\n  8 -> 22 [size =\"31815680\"]\n  9 [size=\"87068160\", alpha=\"0.15\", expect_size=\"34827264\"] \n  9 -> 15 [size =\"34827264\"]\n  9 -> 20 [size =\"34827264\"]\n  10 [size=\"59947520\", alpha=\"0.10\", expect_size=\"23979008\"] \n  10 -> 13 [size =\"23979008\"]\n  10 -> 14 [size =\"23979008\"]\n  10 -> 15 [size =\"23979008\"]\n  10 -> 19 [size =\"23979008\"]\n  10 -> 20 [size =\"23979008\"]\n  11 [size=\"119738880\", alpha=\"0.09\", expect_size=\"47895552\"] \n  11 -> 12 [size =\"47895552\"]\n  11 -> 14 [size =\"47895552\"]\n  11 -> 15 [size =\"47895552\"]\n  11 -> 16 [size =\"47895552\"]\n  11 -> 19 [size =\"47895552\"]\n  11 -> 20 [size =\"47895552\"]\n  11 -> 21 [size =\"47895552\"]\n  11 -> 22 [size =\"47895552\"]\n  12 [size=\"51962880\", alpha=\"0.15\", expect_size=\"20785152\"] \n  12 -> 23 [size =\"20785152\"]\n  12 -> 27 [size =\"20785152\"]\n  12 -> 30 [size =\"20785152\"]\n  13 [size=\"56427520\", alpha=\"0.06\", expect_size=\"22571008\"] \n  13 -> 29 [size =\"22571008\"]\n  13 -> 30 [size =\"22571008\"]\n  14 [size=\"110873600\", alpha=\"0.06\", expect_size=\"44349440\"] \n  14 -> 23 [size =\"44349440\"]\n  14 -> 25 [size =\"44349440\"]\n  14 -> 28 [size =\"44349440\"]\n  14 -> 30 [size =\"44349440\"]\n  15 [size=\"23764480\", alpha=\"0.02\", expect_size=\"9505792\"] \n  15 -> 23 [size =\"9505792\"]\n  15 -> 25 [size =\"9505792\"]\n  15 -> 26 [size =\"9505792\"]\n  15 -> 29 [size =\"9505792\"]\n  15 -> 30 [size =\"9505792\"]\n  16 [size=\"33653760\", alpha=\"0.04\", expect_size=\"13461504\"] \n  16 -> 23 [size =\"13461504\"]\n  16 -> 25 [size =\"13461504\"]\n  16 -> 27 [size =\"13461504\"]\n  16 -> 30 [size =\"13461504\"]\n  17 [size=\"107916800\", alpha=\"0.09\", expect_size=\"43166720\"] \n  17 -> 23 [size =\"43166720\"]\n  17 -> 24 [size =\"43166720\"]\n  17 -> 25 [size =\"43166720\"]\n  17 -> 26 [size =\"43166720\"]\n  17 -> 28 [size =\"43166720\"]\n  17 -> 30 [size =\"43166720\"]\n  18 [size=\"37053440\", alpha=\"0.15\", expect_size=\"14821376\"] \n  18 -> 23 [size =\"14821376\"]\n  18 -> 24 [size =\"14821376\"]\n  18 -> 25 [size =\"14821376\"]\n  19 [size=\"101168640\", alpha=\"0.08\", expect_size=\"40467456\"] \n  19 -> 23 [size =\"40467456\"]\n  19 -> 24 [size =\"40467456\"]\n  19 -> 25 [size =\"40467456\"]\n  19 -> 27 [size =\"40467456\"]\n  19 -> 28 [size =\"40467456\"]\n  19 -> 30 [size =\"40467456\"]\n  20 [size=\"70853120\", alpha=\"0.17\", expect_size=\"28341248\"] \n  20 -> 23 [size =\"28341248\"]\n  20 -> 24 [size =\"28341248\"]\n  20 -> 27 [size =\"28341248\"]\n  20 -> 28 [size =\"28341248\"]\n  20 -> 30 [size =\"28341248\"]\n  21 [size=\"130644480\", alpha=\"0.11\", expect_size=\"52257792\"] \n  21 -> 23 [size =\"52257792\"]\n  21 -> 26 [size =\"52257792\"]\n  21 -> 27 [size =\"52257792\"]\n  21 -> 28 [size =\"52257792\"]\n  22 [size=\"64826880\", alpha=\"0.09\", expect_size=\"25930752\"] \n  22 -> 23 [size =\"25930752\"]\n  22 -> 24 [size =\"25930752\"]\n  22 -> 26 [size =\"25930752\"]\n  22 -> 27 [size =\"25930752\"]\n  22 -> 29 [size =\"25930752\"]\n  22 -> 30 [size =\"25930752\"]\n  23 [size=\"33684480\", alpha=\"0.11\", expect_size=\"13473792\"] \n  24 [size=\"70067200\", alpha=\"0.09\", expect_size=\"28026880\"] \n  25 [size=\"105771520\", alpha=\"0.07\", expect_size=\"42308608\"] \n  26 [size=\"117399040\", alpha=\"0.15\", expect_size=\"46959616\"] \n  27 [size=\"20943360\", alpha=\"0.14\", expect_size=\"8377344\"] \n  28 [size=\"75609600\", alpha=\"0.04\", expect_size=\"30243840\"] \n  29 [size=\"45291520\", alpha=\"0.06\", expect_size=\"18116608\"] \n  30 [size=\"95418880\", alpha=\"0.16\", expect_size=\"38167552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68247552\", alpha=\"0.06\", expect_size=\"34123776\"] \n  2 [size=\"45129728\", alpha=\"0.08\", expect_size=\"22564864\"] \n  2 -> 29 [size =\"22564864\"]\n  2 -> 30 [size =\"22564864\"]\n  3 [size=\"24541184\", alpha=\"0.12\", expect_size=\"12270592\"] \n  4 [size=\"84623360\", alpha=\"0.12\", expect_size=\"42311680\"] \n  5 [size=\"33622016\", alpha=\"0.03\", expect_size=\"16811008\"] \n  6 [size=\"21141504\", alpha=\"0.18\", expect_size=\"10570752\"] \n  7 [size=\"36438016\", alpha=\"0.14\", expect_size=\"18219008\"] \n  7 -> 28 [size =\"18219008\"]\n  7 -> 30 [size =\"18219008\"]\n  8 [size=\"71108608\", alpha=\"0.15\", expect_size=\"35554304\"] \n  9 [size=\"54280192\", alpha=\"0.17\", expect_size=\"27140096\"] \n  9 -> 28 [size =\"27140096\"]\n  10 [size=\"45570048\", alpha=\"0.17\", expect_size=\"22785024\"] \n  10 -> 28 [size =\"22785024\"]\n  10 -> 30 [size =\"22785024\"]\n  11 [size=\"101249024\", alpha=\"0.14\", expect_size=\"50624512\"] \n  11 -> 30 [size =\"50624512\"]\n  11 -> 30 [size =\"50624512\"]\n  12 [size=\"35483648\", alpha=\"0.04\", expect_size=\"17741824\"] \n  12 -> 29 [size =\"17741824\"]\n  12 -> 30 [size =\"17741824\"]\n  13 [size=\"71694336\", alpha=\"0.10\", expect_size=\"35847168\"] \n  13 -> 28 [size =\"35847168\"]\n  13 -> 29 [size =\"35847168\"]\n  13 -> 30 [size =\"35847168\"]\n  14 [size=\"33081344\", alpha=\"0.13\", expect_size=\"16540672\"] \n  14 -> 29 [size =\"16540672\"]\n  14 -> 30 [size =\"16540672\"]\n  14 -> 30 [size =\"16540672\"]\n  15 [size=\"89419776\", alpha=\"0.10\", expect_size=\"44709888\"] \n  15 -> 29 [size =\"44709888\"]\n  16 [size=\"104327168\", alpha=\"0.09\", expect_size=\"52163584\"] \n  17 [size=\"95442944\", alpha=\"0.01\", expect_size=\"47721472\"] \n  18 [size=\"65673216\", alpha=\"0.12\", expect_size=\"32836608\"] \n  19 [size=\"40693760\", alpha=\"0.12\", expect_size=\"20346880\"] \n  19 -> 30 [size =\"20346880\"]\n  20 [size=\"27793408\", alpha=\"0.04\", expect_size=\"13896704\"] \n  20 -> 28 [size =\"13896704\"]\n  20 -> 29 [size =\"13896704\"]\n  21 [size=\"12912640\", alpha=\"0.09\", expect_size=\"6456320\"] \n  21 -> 28 [size =\"6456320\"]\n  22 [size=\"78352384\", alpha=\"0.01\", expect_size=\"39176192\"] \n  22 -> 28 [size =\"39176192\"]\n  22 -> 29 [size =\"39176192\"]\n  22 -> 30 [size =\"39176192\"]\n  23 [size=\"96221184\", alpha=\"0.16\", expect_size=\"48110592\"] \n  24 [size=\"49567744\", alpha=\"0.07\", expect_size=\"24783872\"] \n  25 [size=\"15644672\", alpha=\"0.03\", expect_size=\"7822336\"] \n  25 -> 29 [size =\"7822336\"]\n  26 [size=\"64737280\", alpha=\"0.01\", expect_size=\"32368640\"] \n  26 -> 28 [size =\"32368640\"]\n  26 -> 30 [size =\"32368640\"]\n  27 [size=\"13414400\", alpha=\"0.04\", expect_size=\"6707200\"] \n  27 -> 28 [size =\"6707200\"]\n  28 [size=\"18747392\", alpha=\"0.01\", expect_size=\"9373696\"] \n  29 [size=\"73129984\", alpha=\"0.06\", expect_size=\"36564992\"] \n  30 [size=\"34582528\", alpha=\"0.19\", expect_size=\"17291264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103944192\", alpha=\"0.16\", expect_size=\"51972096\"] \n  1 -> 12 [size =\"51972096\"]\n  1 -> 13 [size =\"51972096\"]\n  1 -> 15 [size =\"51972096\"]\n  1 -> 16 [size =\"51972096\"]\n  1 -> 17 [size =\"51972096\"]\n  1 -> 19 [size =\"51972096\"]\n  2 [size=\"30932992\", alpha=\"0.05\", expect_size=\"15466496\"] \n  2 -> 14 [size =\"15466496\"]\n  2 -> 15 [size =\"15466496\"]\n  2 -> 17 [size =\"15466496\"]\n  2 -> 18 [size =\"15466496\"]\n  3 [size=\"103360512\", alpha=\"0.12\", expect_size=\"51680256\"] \n  3 -> 13 [size =\"51680256\"]\n  3 -> 15 [size =\"51680256\"]\n  3 -> 17 [size =\"51680256\"]\n  4 [size=\"51597312\", alpha=\"0.15\", expect_size=\"25798656\"] \n  4 -> 12 [size =\"25798656\"]\n  4 -> 13 [size =\"25798656\"]\n  4 -> 16 [size =\"25798656\"]\n  4 -> 17 [size =\"25798656\"]\n  4 -> 20 [size =\"25798656\"]\n  5 [size=\"85671936\", alpha=\"0.03\", expect_size=\"42835968\"] \n  5 -> 11 [size =\"42835968\"]\n  5 -> 12 [size =\"42835968\"]\n  5 -> 14 [size =\"42835968\"]\n  5 -> 16 [size =\"42835968\"]\n  5 -> 17 [size =\"42835968\"]\n  6 [size=\"87851008\", alpha=\"0.18\", expect_size=\"43925504\"] \n  6 -> 11 [size =\"43925504\"]\n  6 -> 12 [size =\"43925504\"]\n  6 -> 14 [size =\"43925504\"]\n  6 -> 15 [size =\"43925504\"]\n  6 -> 16 [size =\"43925504\"]\n  6 -> 17 [size =\"43925504\"]\n  6 -> 20 [size =\"43925504\"]\n  7 [size=\"77084672\", alpha=\"0.08\", expect_size=\"38542336\"] \n  7 -> 11 [size =\"38542336\"]\n  7 -> 15 [size =\"38542336\"]\n  7 -> 18 [size =\"38542336\"]\n  8 [size=\"55341056\", alpha=\"0.18\", expect_size=\"27670528\"] \n  8 -> 12 [size =\"27670528\"]\n  8 -> 14 [size =\"27670528\"]\n  8 -> 18 [size =\"27670528\"]\n  9 [size=\"95602688\", alpha=\"0.20\", expect_size=\"47801344\"] \n  9 -> 15 [size =\"47801344\"]\n  9 -> 16 [size =\"47801344\"]\n  9 -> 18 [size =\"47801344\"]\n  9 -> 19 [size =\"47801344\"]\n  10 [size=\"43819008\", alpha=\"0.18\", expect_size=\"21909504\"] \n  10 -> 11 [size =\"21909504\"]\n  10 -> 16 [size =\"21909504\"]\n  10 -> 19 [size =\"21909504\"]\n  11 [size=\"17047552\", alpha=\"0.02\", expect_size=\"8523776\"] \n  11 -> 25 [size =\"8523776\"]\n  11 -> 27 [size =\"8523776\"]\n  11 -> 30 [size =\"8523776\"]\n  12 [size=\"93257728\", alpha=\"0.11\", expect_size=\"46628864\"] \n  12 -> 21 [size =\"46628864\"]\n  12 -> 22 [size =\"46628864\"]\n  12 -> 24 [size =\"46628864\"]\n  12 -> 25 [size =\"46628864\"]\n  12 -> 26 [size =\"46628864\"]\n  12 -> 30 [size =\"46628864\"]\n  13 [size=\"23281664\", alpha=\"0.03\", expect_size=\"11640832\"] \n  13 -> 23 [size =\"11640832\"]\n  13 -> 25 [size =\"11640832\"]\n  13 -> 26 [size =\"11640832\"]\n  13 -> 27 [size =\"11640832\"]\n  13 -> 30 [size =\"11640832\"]\n  14 [size=\"80640000\", alpha=\"0.17\", expect_size=\"40320000\"] \n  14 -> 21 [size =\"40320000\"]\n  14 -> 23 [size =\"40320000\"]\n  14 -> 25 [size =\"40320000\"]\n  14 -> 26 [size =\"40320000\"]\n  15 [size=\"54831104\", alpha=\"0.18\", expect_size=\"27415552\"] \n  15 -> 22 [size =\"27415552\"]\n  15 -> 29 [size =\"27415552\"]\n  16 [size=\"67981312\", alpha=\"0.02\", expect_size=\"33990656\"] \n  16 -> 21 [size =\"33990656\"]\n  16 -> 23 [size =\"33990656\"]\n  16 -> 26 [size =\"33990656\"]\n  17 [size=\"60176384\", alpha=\"0.04\", expect_size=\"30088192\"] \n  17 -> 22 [size =\"30088192\"]\n  17 -> 23 [size =\"30088192\"]\n  17 -> 24 [size =\"30088192\"]\n  17 -> 25 [size =\"30088192\"]\n  17 -> 28 [size =\"30088192\"]\n  18 [size=\"96212992\", alpha=\"0.18\", expect_size=\"48106496\"] \n  18 -> 22 [size =\"48106496\"]\n  18 -> 24 [size =\"48106496\"]\n  18 -> 29 [size =\"48106496\"]\n  18 -> 30 [size =\"48106496\"]\n  19 [size=\"84924416\", alpha=\"0.09\", expect_size=\"42462208\"] \n  19 -> 21 [size =\"42462208\"]\n  19 -> 23 [size =\"42462208\"]\n  19 -> 24 [size =\"42462208\"]\n  19 -> 29 [size =\"42462208\"]\n  19 -> 30 [size =\"42462208\"]\n  20 [size=\"84523008\", alpha=\"0.14\", expect_size=\"42261504\"] \n  20 -> 24 [size =\"42261504\"]\n  20 -> 29 [size =\"42261504\"]\n  20 -> 30 [size =\"42261504\"]\n  21 [size=\"76154880\", alpha=\"0.18\", expect_size=\"38077440\"] \n  22 [size=\"83873792\", alpha=\"0.07\", expect_size=\"41936896\"] \n  23 [size=\"41852928\", alpha=\"0.16\", expect_size=\"20926464\"] \n  24 [size=\"57286656\", alpha=\"0.13\", expect_size=\"28643328\"] \n  25 [size=\"44345344\", alpha=\"0.06\", expect_size=\"22172672\"] \n  26 [size=\"33269760\", alpha=\"0.16\", expect_size=\"16634880\"] \n  27 [size=\"43692032\", alpha=\"0.20\", expect_size=\"21846016\"] \n  28 [size=\"62431232\", alpha=\"0.13\", expect_size=\"31215616\"] \n  29 [size=\"52041728\", alpha=\"0.04\", expect_size=\"26020864\"] \n  30 [size=\"93106176\", alpha=\"0.03\", expect_size=\"46553088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23678293\", alpha=\"0.09\", expect_size=\"7103488\"] \n  1 -> 12 [size =\"7103488\"]\n  1 -> 13 [size =\"7103488\"]\n  1 -> 16 [size =\"7103488\"]\n  2 [size=\"106199040\", alpha=\"0.13\", expect_size=\"31859712\"] \n  2 -> 12 [size =\"31859712\"]\n  2 -> 13 [size =\"31859712\"]\n  2 -> 15 [size =\"31859712\"]\n  3 [size=\"116425387\", alpha=\"0.15\", expect_size=\"34927616\"] \n  3 -> 10 [size =\"34927616\"]\n  3 -> 15 [size =\"34927616\"]\n  4 [size=\"65375573\", alpha=\"0.04\", expect_size=\"19612672\"] \n  4 -> 10 [size =\"19612672\"]\n  4 -> 11 [size =\"19612672\"]\n  4 -> 12 [size =\"19612672\"]\n  4 -> 13 [size =\"19612672\"]\n  4 -> 14 [size =\"19612672\"]\n  4 -> 17 [size =\"19612672\"]\n  5 [size=\"78021973\", alpha=\"0.04\", expect_size=\"23406592\"] \n  5 -> 10 [size =\"23406592\"]\n  5 -> 11 [size =\"23406592\"]\n  5 -> 12 [size =\"23406592\"]\n  5 -> 13 [size =\"23406592\"]\n  5 -> 15 [size =\"23406592\"]\n  5 -> 17 [size =\"23406592\"]\n  6 [size=\"25941333\", alpha=\"0.06\", expect_size=\"7782400\"] \n  6 -> 10 [size =\"7782400\"]\n  6 -> 12 [size =\"7782400\"]\n  6 -> 13 [size =\"7782400\"]\n  6 -> 15 [size =\"7782400\"]\n  6 -> 15 [size =\"7782400\"]\n  7 [size=\"95552853\", alpha=\"0.19\", expect_size=\"28665856\"] \n  7 -> 11 [size =\"28665856\"]\n  7 -> 13 [size =\"28665856\"]\n  7 -> 15 [size =\"28665856\"]\n  7 -> 16 [size =\"28665856\"]\n  8 [size=\"41543680\", alpha=\"0.06\", expect_size=\"12463104\"] \n  8 -> 10 [size =\"12463104\"]\n  8 -> 11 [size =\"12463104\"]\n  9 [size=\"132864000\", alpha=\"0.02\", expect_size=\"39859200\"] \n  9 -> 11 [size =\"39859200\"]\n  9 -> 12 [size =\"39859200\"]\n  9 -> 13 [size =\"39859200\"]\n  10 [size=\"40366080\", alpha=\"0.08\", expect_size=\"12109824\"] \n  10 -> 18 [size =\"12109824\"]\n  10 -> 20 [size =\"12109824\"]\n  10 -> 22 [size =\"12109824\"]\n  10 -> 23 [size =\"12109824\"]\n  10 -> 25 [size =\"12109824\"]\n  11 [size=\"60917760\", alpha=\"0.03\", expect_size=\"18275328\"] \n  11 -> 18 [size =\"18275328\"]\n  11 -> 20 [size =\"18275328\"]\n  11 -> 21 [size =\"18275328\"]\n  11 -> 23 [size =\"18275328\"]\n  12 [size=\"129925120\", alpha=\"0.10\", expect_size=\"38977536\"] \n  12 -> 18 [size =\"38977536\"]\n  12 -> 20 [size =\"38977536\"]\n  12 -> 21 [size =\"38977536\"]\n  12 -> 22 [size =\"38977536\"]\n  12 -> 23 [size =\"38977536\"]\n  13 [size=\"75403947\", alpha=\"0.19\", expect_size=\"22621184\"] \n  13 -> 19 [size =\"22621184\"]\n  13 -> 20 [size =\"22621184\"]\n  13 -> 21 [size =\"22621184\"]\n  13 -> 23 [size =\"22621184\"]\n  13 -> 25 [size =\"22621184\"]\n  14 [size=\"34181120\", alpha=\"0.13\", expect_size=\"10254336\"] \n  14 -> 18 [size =\"10254336\"]\n  14 -> 20 [size =\"10254336\"]\n  14 -> 21 [size =\"10254336\"]\n  14 -> 23 [size =\"10254336\"]\n  14 -> 24 [size =\"10254336\"]\n  15 [size=\"68058453\", alpha=\"0.17\", expect_size=\"20417536\"] \n  15 -> 18 [size =\"20417536\"]\n  15 -> 19 [size =\"20417536\"]\n  15 -> 20 [size =\"20417536\"]\n  15 -> 21 [size =\"20417536\"]\n  15 -> 22 [size =\"20417536\"]\n  15 -> 23 [size =\"20417536\"]\n  16 [size=\"100365653\", alpha=\"0.18\", expect_size=\"30109696\"] \n  16 -> 20 [size =\"30109696\"]\n  16 -> 21 [size =\"30109696\"]\n  16 -> 22 [size =\"30109696\"]\n  16 -> 23 [size =\"30109696\"]\n  16 -> 25 [size =\"30109696\"]\n  17 [size=\"149606400\", alpha=\"0.00\", expect_size=\"44881920\"] \n  17 -> 20 [size =\"44881920\"]\n  17 -> 21 [size =\"44881920\"]\n  17 -> 22 [size =\"44881920\"]\n  17 -> 23 [size =\"44881920\"]\n  17 -> 24 [size =\"44881920\"]\n  17 -> 25 [size =\"44881920\"]\n  18 [size=\"139066027\", alpha=\"0.16\", expect_size=\"41719808\"] \n  18 -> 26 [size =\"41719808\"]\n  18 -> 30 [size =\"41719808\"]\n  19 [size=\"27545600\", alpha=\"0.19\", expect_size=\"8263680\"] \n  19 -> 26 [size =\"8263680\"]\n  19 -> 27 [size =\"8263680\"]\n  19 -> 29 [size =\"8263680\"]\n  20 [size=\"40560640\", alpha=\"0.06\", expect_size=\"12168192\"] \n  20 -> 26 [size =\"12168192\"]\n  20 -> 27 [size =\"12168192\"]\n  20 -> 28 [size =\"12168192\"]\n  20 -> 29 [size =\"12168192\"]\n  20 -> 30 [size =\"12168192\"]\n  21 [size=\"104055467\", alpha=\"0.14\", expect_size=\"31216640\"] \n  21 -> 27 [size =\"31216640\"]\n  21 -> 28 [size =\"31216640\"]\n  21 -> 29 [size =\"31216640\"]\n  21 -> 29 [size =\"31216640\"]\n  22 [size=\"127993173\", alpha=\"0.14\", expect_size=\"38397952\"] \n  22 -> 27 [size =\"38397952\"]\n  22 -> 29 [size =\"38397952\"]\n  22 -> 30 [size =\"38397952\"]\n  23 [size=\"52647253\", alpha=\"0.06\", expect_size=\"15794176\"] \n  23 -> 26 [size =\"15794176\"]\n  23 -> 27 [size =\"15794176\"]\n  23 -> 30 [size =\"15794176\"]\n  24 [size=\"45076480\", alpha=\"0.04\", expect_size=\"13522944\"] \n  24 -> 26 [size =\"13522944\"]\n  24 -> 27 [size =\"13522944\"]\n  25 [size=\"149032960\", alpha=\"0.09\", expect_size=\"44709888\"] \n  25 -> 26 [size =\"44709888\"]\n  25 -> 28 [size =\"44709888\"]\n  25 -> 29 [size =\"44709888\"]\n  25 -> 30 [size =\"44709888\"]\n  26 [size=\"122030080\", alpha=\"0.16\", expect_size=\"36609024\"] \n  27 [size=\"104734720\", alpha=\"0.13\", expect_size=\"31420416\"] \n  28 [size=\"106953387\", alpha=\"0.13\", expect_size=\"32086016\"] \n  29 [size=\"77765973\", alpha=\"0.07\", expect_size=\"23329792\"] \n  30 [size=\"68143787\", alpha=\"0.05\", expect_size=\"20443136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121740800\", alpha=\"0.18\", expect_size=\"48696320\"] \n  1 -> 17 [size =\"48696320\"]\n  1 -> 18 [size =\"48696320\"]\n  1 -> 19 [size =\"48696320\"]\n  1 -> 21 [size =\"48696320\"]\n  1 -> 26 [size =\"48696320\"]\n  1 -> 28 [size =\"48696320\"]\n  1 -> 30 [size =\"48696320\"]\n  2 [size=\"93752320\", alpha=\"0.03\", expect_size=\"37500928\"] \n  2 -> 17 [size =\"37500928\"]\n  2 -> 19 [size =\"37500928\"]\n  2 -> 20 [size =\"37500928\"]\n  2 -> 23 [size =\"37500928\"]\n  2 -> 24 [size =\"37500928\"]\n  2 -> 29 [size =\"37500928\"]\n  2 -> 30 [size =\"37500928\"]\n  3 [size=\"127759360\", alpha=\"0.03\", expect_size=\"51103744\"] \n  3 -> 17 [size =\"51103744\"]\n  3 -> 19 [size =\"51103744\"]\n  3 -> 20 [size =\"51103744\"]\n  3 -> 23 [size =\"51103744\"]\n  3 -> 24 [size =\"51103744\"]\n  4 [size=\"42037760\", alpha=\"0.08\", expect_size=\"16815104\"] \n  4 -> 17 [size =\"16815104\"]\n  4 -> 19 [size =\"16815104\"]\n  4 -> 20 [size =\"16815104\"]\n  4 -> 24 [size =\"16815104\"]\n  4 -> 27 [size =\"16815104\"]\n  4 -> 30 [size =\"16815104\"]\n  5 [size=\"34455040\", alpha=\"0.05\", expect_size=\"13782016\"] \n  5 -> 17 [size =\"13782016\"]\n  5 -> 18 [size =\"13782016\"]\n  5 -> 20 [size =\"13782016\"]\n  5 -> 25 [size =\"13782016\"]\n  5 -> 26 [size =\"13782016\"]\n  5 -> 27 [size =\"13782016\"]\n  5 -> 28 [size =\"13782016\"]\n  5 -> 30 [size =\"13782016\"]\n  6 [size=\"93598720\", alpha=\"0.17\", expect_size=\"37439488\"] \n  6 -> 18 [size =\"37439488\"]\n  6 -> 20 [size =\"37439488\"]\n  6 -> 20 [size =\"37439488\"]\n  6 -> 23 [size =\"37439488\"]\n  6 -> 26 [size =\"37439488\"]\n  6 -> 27 [size =\"37439488\"]\n  6 -> 28 [size =\"37439488\"]\n  6 -> 30 [size =\"37439488\"]\n  7 [size=\"35548160\", alpha=\"0.08\", expect_size=\"14219264\"] \n  7 -> 17 [size =\"14219264\"]\n  7 -> 18 [size =\"14219264\"]\n  7 -> 19 [size =\"14219264\"]\n  7 -> 20 [size =\"14219264\"]\n  7 -> 23 [size =\"14219264\"]\n  7 -> 28 [size =\"14219264\"]\n  7 -> 30 [size =\"14219264\"]\n  7 -> 30 [size =\"14219264\"]\n  8 [size=\"54044160\", alpha=\"0.02\", expect_size=\"21617664\"] \n  8 -> 18 [size =\"21617664\"]\n  8 -> 19 [size =\"21617664\"]\n  8 -> 22 [size =\"21617664\"]\n  8 -> 24 [size =\"21617664\"]\n  8 -> 30 [size =\"21617664\"]\n  9 [size=\"95324160\", alpha=\"0.08\", expect_size=\"38129664\"] \n  9 -> 17 [size =\"38129664\"]\n  9 -> 19 [size =\"38129664\"]\n  9 -> 20 [size =\"38129664\"]\n  9 -> 22 [size =\"38129664\"]\n  9 -> 24 [size =\"38129664\"]\n  9 -> 25 [size =\"38129664\"]\n  9 -> 26 [size =\"38129664\"]\n  10 [size=\"98624000\", alpha=\"0.11\", expect_size=\"39449600\"] \n  10 -> 17 [size =\"39449600\"]\n  10 -> 18 [size =\"39449600\"]\n  10 -> 20 [size =\"39449600\"]\n  10 -> 23 [size =\"39449600\"]\n  10 -> 24 [size =\"39449600\"]\n  10 -> 26 [size =\"39449600\"]\n  10 -> 28 [size =\"39449600\"]\n  11 [size=\"106129920\", alpha=\"0.06\", expect_size=\"42451968\"] \n  11 -> 17 [size =\"42451968\"]\n  11 -> 18 [size =\"42451968\"]\n  11 -> 19 [size =\"42451968\"]\n  11 -> 20 [size =\"42451968\"]\n  11 -> 23 [size =\"42451968\"]\n  11 -> 24 [size =\"42451968\"]\n  11 -> 26 [size =\"42451968\"]\n  11 -> 27 [size =\"42451968\"]\n  11 -> 30 [size =\"42451968\"]\n  12 [size=\"94543360\", alpha=\"0.19\", expect_size=\"37817344\"] \n  12 -> 18 [size =\"37817344\"]\n  12 -> 19 [size =\"37817344\"]\n  12 -> 19 [size =\"37817344\"]\n  12 -> 23 [size =\"37817344\"]\n  12 -> 26 [size =\"37817344\"]\n  13 [size=\"111941120\", alpha=\"0.05\", expect_size=\"44776448\"] \n  13 -> 17 [size =\"44776448\"]\n  13 -> 19 [size =\"44776448\"]\n  13 -> 24 [size =\"44776448\"]\n  13 -> 27 [size =\"44776448\"]\n  13 -> 28 [size =\"44776448\"]\n  14 [size=\"128494080\", alpha=\"0.06\", expect_size=\"51397632\"] \n  14 -> 19 [size =\"51397632\"]\n  14 -> 19 [size =\"51397632\"]\n  14 -> 20 [size =\"51397632\"]\n  14 -> 27 [size =\"51397632\"]\n  15 [size=\"57615360\", alpha=\"0.18\", expect_size=\"23046144\"] \n  15 -> 17 [size =\"23046144\"]\n  15 -> 18 [size =\"23046144\"]\n  15 -> 19 [size =\"23046144\"]\n  15 -> 23 [size =\"23046144\"]\n  15 -> 27 [size =\"23046144\"]\n  15 -> 30 [size =\"23046144\"]\n  16 [size=\"85667840\", alpha=\"0.00\", expect_size=\"34267136\"] \n  16 -> 17 [size =\"34267136\"]\n  16 -> 18 [size =\"34267136\"]\n  16 -> 19 [size =\"34267136\"]\n  16 -> 20 [size =\"34267136\"]\n  16 -> 23 [size =\"34267136\"]\n  16 -> 24 [size =\"34267136\"]\n  16 -> 25 [size =\"34267136\"]\n  16 -> 26 [size =\"34267136\"]\n  16 -> 30 [size =\"34267136\"]\n  17 [size=\"69800960\", alpha=\"0.08\", expect_size=\"27920384\"] \n  18 [size=\"115584000\", alpha=\"0.06\", expect_size=\"46233600\"] \n  19 [size=\"126840320\", alpha=\"0.19\", expect_size=\"50736128\"] \n  20 [size=\"56028160\", alpha=\"0.05\", expect_size=\"22411264\"] \n  21 [size=\"117969920\", alpha=\"0.09\", expect_size=\"47187968\"] \n  22 [size=\"34447360\", alpha=\"0.07\", expect_size=\"13778944\"] \n  23 [size=\"28303360\", alpha=\"0.04\", expect_size=\"11321344\"] \n  24 [size=\"59537920\", alpha=\"0.07\", expect_size=\"23815168\"] \n  25 [size=\"94712320\", alpha=\"0.13\", expect_size=\"37884928\"] \n  26 [size=\"85767680\", alpha=\"0.12\", expect_size=\"34307072\"] \n  27 [size=\"86415360\", alpha=\"0.15\", expect_size=\"34566144\"] \n  28 [size=\"17305600\", alpha=\"0.06\", expect_size=\"6922240\"] \n  29 [size=\"51596800\", alpha=\"0.10\", expect_size=\"20638720\"] \n  30 [size=\"46105600\", alpha=\"0.09\", expect_size=\"18442240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105099947\", alpha=\"0.16\", expect_size=\"31529984\"] \n  1 -> 2 [size =\"31529984\"]\n  2 [size=\"31764480\", alpha=\"0.01\", expect_size=\"9529344\"] \n  2 -> 3 [size =\"9529344\"]\n  3 [size=\"52906667\", alpha=\"0.16\", expect_size=\"15872000\"] \n  3 -> 4 [size =\"15872000\"]\n  4 [size=\"146319360\", alpha=\"0.20\", expect_size=\"43895808\"] \n  4 -> 5 [size =\"43895808\"]\n  5 [size=\"159245653\", alpha=\"0.10\", expect_size=\"47773696\"] \n  5 -> 6 [size =\"47773696\"]\n  6 [size=\"108898987\", alpha=\"0.02\", expect_size=\"32669696\"] \n  6 -> 7 [size =\"32669696\"]\n  7 [size=\"66362027\", alpha=\"0.06\", expect_size=\"19908608\"] \n  7 -> 8 [size =\"19908608\"]\n  8 [size=\"122531840\", alpha=\"0.12\", expect_size=\"36759552\"] \n  8 -> 9 [size =\"36759552\"]\n  9 [size=\"140683947\", alpha=\"0.04\", expect_size=\"42205184\"] \n  9 -> 10 [size =\"42205184\"]\n  10 [size=\"85200213\", alpha=\"0.16\", expect_size=\"25560064\"] \n  10 -> 11 [size =\"25560064\"]\n  11 [size=\"146336427\", alpha=\"0.05\", expect_size=\"43900928\"] \n  11 -> 12 [size =\"43900928\"]\n  12 [size=\"112459093\", alpha=\"0.12\", expect_size=\"33737728\"] \n  12 -> 13 [size =\"33737728\"]\n  13 [size=\"122129067\", alpha=\"0.07\", expect_size=\"36638720\"] \n  13 -> 14 [size =\"36638720\"]\n  14 [size=\"91794773\", alpha=\"0.02\", expect_size=\"27538432\"] \n  14 -> 15 [size =\"27538432\"]\n  15 [size=\"87982080\", alpha=\"0.04\", expect_size=\"26394624\"] \n  15 -> 16 [size =\"26394624\"]\n  16 [size=\"164935680\", alpha=\"0.07\", expect_size=\"49480704\"] \n  16 -> 17 [size =\"49480704\"]\n  17 [size=\"23814827\", alpha=\"0.10\", expect_size=\"7144448\"] \n  17 -> 18 [size =\"7144448\"]\n  18 [size=\"72021333\", alpha=\"0.03\", expect_size=\"21606400\"] \n  18 -> 19 [size =\"21606400\"]\n  19 [size=\"169096533\", alpha=\"0.13\", expect_size=\"50728960\"] \n  19 -> 20 [size =\"50728960\"]\n  20 [size=\"41857707\", alpha=\"0.15\", expect_size=\"12557312\"] \n  20 -> 21 [size =\"12557312\"]\n  21 [size=\"167550293\", alpha=\"0.09\", expect_size=\"50265088\"] \n  21 -> 22 [size =\"50265088\"]\n  22 [size=\"50128213\", alpha=\"0.04\", expect_size=\"15038464\"] \n  22 -> 23 [size =\"15038464\"]\n  23 [size=\"147643733\", alpha=\"0.03\", expect_size=\"44293120\"] \n  23 -> 24 [size =\"44293120\"]\n  24 [size=\"48667307\", alpha=\"0.19\", expect_size=\"14600192\"] \n  24 -> 25 [size =\"14600192\"]\n  25 [size=\"66805760\", alpha=\"0.13\", expect_size=\"20041728\"] \n  25 -> 26 [size =\"20041728\"]\n  26 [size=\"99112960\", alpha=\"0.19\", expect_size=\"29733888\"] \n  26 -> 27 [size =\"29733888\"]\n  27 [size=\"154555733\", alpha=\"0.11\", expect_size=\"46366720\"] \n  27 -> 28 [size =\"46366720\"]\n  28 [size=\"73058987\", alpha=\"0.16\", expect_size=\"21917696\"] \n  28 -> 29 [size =\"21917696\"]\n  29 [size=\"96095573\", alpha=\"0.16\", expect_size=\"28828672\"] \n  29 -> 30 [size =\"28828672\"]\n  30 [size=\"44052480\", alpha=\"0.06\", expect_size=\"13215744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83820544\", alpha=\"0.04\", expect_size=\"41910272\"] \n  1 -> 2 [size =\"41910272\"]\n  2 [size=\"49491968\", alpha=\"0.07\", expect_size=\"24745984\"] \n  2 -> 3 [size =\"24745984\"]\n  3 [size=\"56346624\", alpha=\"0.04\", expect_size=\"28173312\"] \n  3 -> 4 [size =\"28173312\"]\n  4 [size=\"28100608\", alpha=\"0.18\", expect_size=\"14050304\"] \n  4 -> 5 [size =\"14050304\"]\n  5 [size=\"18749440\", alpha=\"0.20\", expect_size=\"9374720\"] \n  5 -> 6 [size =\"9374720\"]\n  6 [size=\"33564672\", alpha=\"0.19\", expect_size=\"16782336\"] \n  6 -> 7 [size =\"16782336\"]\n  7 [size=\"57225216\", alpha=\"0.10\", expect_size=\"28612608\"] \n  7 -> 8 [size =\"28612608\"]\n  8 [size=\"56559616\", alpha=\"0.04\", expect_size=\"28279808\"] \n  8 -> 9 [size =\"28279808\"]\n  9 [size=\"89307136\", alpha=\"0.04\", expect_size=\"44653568\"] \n  9 -> 10 [size =\"44653568\"]\n  10 [size=\"94408704\", alpha=\"0.20\", expect_size=\"47204352\"] \n  10 -> 11 [size =\"47204352\"]\n  11 [size=\"47335424\", alpha=\"0.07\", expect_size=\"23667712\"] \n  11 -> 12 [size =\"23667712\"]\n  12 [size=\"68134912\", alpha=\"0.05\", expect_size=\"34067456\"] \n  12 -> 13 [size =\"34067456\"]\n  13 [size=\"102293504\", alpha=\"0.05\", expect_size=\"51146752\"] \n  13 -> 14 [size =\"51146752\"]\n  14 [size=\"26210304\", alpha=\"0.18\", expect_size=\"13105152\"] \n  14 -> 15 [size =\"13105152\"]\n  15 [size=\"14581760\", alpha=\"0.14\", expect_size=\"7290880\"] \n  15 -> 16 [size =\"7290880\"]\n  16 [size=\"13504512\", alpha=\"0.09\", expect_size=\"6752256\"] \n  16 -> 17 [size =\"6752256\"]\n  17 [size=\"104032256\", alpha=\"0.12\", expect_size=\"52016128\"] \n  17 -> 18 [size =\"52016128\"]\n  18 [size=\"54925312\", alpha=\"0.17\", expect_size=\"27462656\"] \n  18 -> 19 [size =\"27462656\"]\n  19 [size=\"72652800\", alpha=\"0.19\", expect_size=\"36326400\"] \n  19 -> 20 [size =\"36326400\"]\n  20 [size=\"92561408\", alpha=\"0.20\", expect_size=\"46280704\"] \n  20 -> 21 [size =\"46280704\"]\n  21 [size=\"91918336\", alpha=\"0.16\", expect_size=\"45959168\"] \n  21 -> 22 [size =\"45959168\"]\n  22 [size=\"29313024\", alpha=\"0.01\", expect_size=\"14656512\"] \n  22 -> 23 [size =\"14656512\"]\n  23 [size=\"51040256\", alpha=\"0.16\", expect_size=\"25520128\"] \n  23 -> 24 [size =\"25520128\"]\n  24 [size=\"72505344\", alpha=\"0.14\", expect_size=\"36252672\"] \n  24 -> 25 [size =\"36252672\"]\n  25 [size=\"61630464\", alpha=\"0.14\", expect_size=\"30815232\"] \n  25 -> 26 [size =\"30815232\"]\n  26 [size=\"32034816\", alpha=\"0.18\", expect_size=\"16017408\"] \n  26 -> 27 [size =\"16017408\"]\n  27 [size=\"75415552\", alpha=\"0.13\", expect_size=\"37707776\"] \n  27 -> 28 [size =\"37707776\"]\n  28 [size=\"37316608\", alpha=\"0.18\", expect_size=\"18658304\"] \n  28 -> 29 [size =\"18658304\"]\n  29 [size=\"25044992\", alpha=\"0.19\", expect_size=\"12522496\"] \n  29 -> 30 [size =\"12522496\"]\n  30 [size=\"20592640\", alpha=\"0.18\", expect_size=\"10296320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68263936\", alpha=\"0.05\", expect_size=\"34131968\"] \n  1 -> 14 [size =\"34131968\"]\n  1 -> 17 [size =\"34131968\"]\n  1 -> 23 [size =\"34131968\"]\n  2 [size=\"100974592\", alpha=\"0.03\", expect_size=\"50487296\"] \n  2 -> 17 [size =\"50487296\"]\n  2 -> 17 [size =\"50487296\"]\n  2 -> 18 [size =\"50487296\"]\n  2 -> 20 [size =\"50487296\"]\n  2 -> 21 [size =\"50487296\"]\n  2 -> 23 [size =\"50487296\"]\n  3 [size=\"50219008\", alpha=\"0.13\", expect_size=\"25109504\"] \n  3 -> 14 [size =\"25109504\"]\n  3 -> 15 [size =\"25109504\"]\n  3 -> 18 [size =\"25109504\"]\n  3 -> 19 [size =\"25109504\"]\n  3 -> 23 [size =\"25109504\"]\n  4 [size=\"15716352\", alpha=\"0.06\", expect_size=\"7858176\"] \n  4 -> 14 [size =\"7858176\"]\n  4 -> 15 [size =\"7858176\"]\n  4 -> 17 [size =\"7858176\"]\n  4 -> 18 [size =\"7858176\"]\n  4 -> 19 [size =\"7858176\"]\n  4 -> 23 [size =\"7858176\"]\n  5 [size=\"13570048\", alpha=\"0.10\", expect_size=\"6785024\"] \n  5 -> 18 [size =\"6785024\"]\n  5 -> 22 [size =\"6785024\"]\n  5 -> 23 [size =\"6785024\"]\n  6 [size=\"49475584\", alpha=\"0.08\", expect_size=\"24737792\"] \n  6 -> 14 [size =\"24737792\"]\n  6 -> 15 [size =\"24737792\"]\n  6 -> 18 [size =\"24737792\"]\n  6 -> 19 [size =\"24737792\"]\n  6 -> 20 [size =\"24737792\"]\n  6 -> 23 [size =\"24737792\"]\n  7 [size=\"54272000\", alpha=\"0.19\", expect_size=\"27136000\"] \n  7 -> 19 [size =\"27136000\"]\n  8 [size=\"81352704\", alpha=\"0.06\", expect_size=\"40676352\"] \n  8 -> 14 [size =\"40676352\"]\n  8 -> 15 [size =\"40676352\"]\n  8 -> 17 [size =\"40676352\"]\n  8 -> 19 [size =\"40676352\"]\n  9 [size=\"18950144\", alpha=\"0.06\", expect_size=\"9475072\"] \n  9 -> 16 [size =\"9475072\"]\n  9 -> 19 [size =\"9475072\"]\n  9 -> 20 [size =\"9475072\"]\n  9 -> 21 [size =\"9475072\"]\n  10 [size=\"100839424\", alpha=\"0.17\", expect_size=\"50419712\"] \n  10 -> 14 [size =\"50419712\"]\n  10 -> 18 [size =\"50419712\"]\n  10 -> 19 [size =\"50419712\"]\n  10 -> 20 [size =\"50419712\"]\n  10 -> 21 [size =\"50419712\"]\n  11 [size=\"46168064\", alpha=\"0.09\", expect_size=\"23084032\"] \n  11 -> 17 [size =\"23084032\"]\n  11 -> 19 [size =\"23084032\"]\n  11 -> 20 [size =\"23084032\"]\n  12 [size=\"71428096\", alpha=\"0.14\", expect_size=\"35714048\"] \n  12 -> 14 [size =\"35714048\"]\n  12 -> 15 [size =\"35714048\"]\n  12 -> 17 [size =\"35714048\"]\n  13 [size=\"86312960\", alpha=\"0.10\", expect_size=\"43156480\"] \n  13 -> 23 [size =\"43156480\"]\n  14 [size=\"52248576\", alpha=\"0.03\", expect_size=\"26124288\"] \n  14 -> 25 [size =\"26124288\"]\n  14 -> 26 [size =\"26124288\"]\n  14 -> 29 [size =\"26124288\"]\n  15 [size=\"80461824\", alpha=\"0.01\", expect_size=\"40230912\"] \n  15 -> 24 [size =\"40230912\"]\n  16 [size=\"34193408\", alpha=\"0.17\", expect_size=\"17096704\"] \n  16 -> 24 [size =\"17096704\"]\n  16 -> 27 [size =\"17096704\"]\n  17 [size=\"69695488\", alpha=\"0.09\", expect_size=\"34847744\"] \n  17 -> 24 [size =\"34847744\"]\n  18 [size=\"65398784\", alpha=\"0.03\", expect_size=\"32699392\"] \n  18 -> 24 [size =\"32699392\"]\n  19 [size=\"91869184\", alpha=\"0.18\", expect_size=\"45934592\"] \n  20 [size=\"24424448\", alpha=\"0.09\", expect_size=\"12212224\"] \n  20 -> 26 [size =\"12212224\"]\n  20 -> 30 [size =\"12212224\"]\n  21 [size=\"10506240\", alpha=\"0.12\", expect_size=\"5253120\"] \n  21 -> 27 [size =\"5253120\"]\n  21 -> 29 [size =\"5253120\"]\n  22 [size=\"55085056\", alpha=\"0.14\", expect_size=\"27542528\"] \n  22 -> 24 [size =\"27542528\"]\n  22 -> 26 [size =\"27542528\"]\n  22 -> 27 [size =\"27542528\"]\n  22 -> 30 [size =\"27542528\"]\n  23 [size=\"25440256\", alpha=\"0.05\", expect_size=\"12720128\"] \n  23 -> 26 [size =\"12720128\"]\n  23 -> 27 [size =\"12720128\"]\n  23 -> 27 [size =\"12720128\"]\n  23 -> 28 [size =\"12720128\"]\n  23 -> 29 [size =\"12720128\"]\n  24 [size=\"72280064\", alpha=\"0.17\", expect_size=\"36140032\"] \n  25 [size=\"87953408\", alpha=\"0.10\", expect_size=\"43976704\"] \n  26 [size=\"90769408\", alpha=\"0.11\", expect_size=\"45384704\"] \n  27 [size=\"76048384\", alpha=\"0.01\", expect_size=\"38024192\"] \n  28 [size=\"25323520\", alpha=\"0.07\", expect_size=\"12661760\"] \n  29 [size=\"38520832\", alpha=\"0.14\", expect_size=\"19260416\"] \n  30 [size=\"26738688\", alpha=\"0.20\", expect_size=\"13369344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14346240\", alpha=\"0.14\", expect_size=\"7173120\"] \n  1 -> 2 [size =\"7173120\"]\n  2 [size=\"84858880\", alpha=\"0.04\", expect_size=\"42429440\"] \n  2 -> 3 [size =\"42429440\"]\n  3 [size=\"86820864\", alpha=\"0.13\", expect_size=\"43410432\"] \n  3 -> 4 [size =\"43410432\"]\n  4 [size=\"22573056\", alpha=\"0.07\", expect_size=\"11286528\"] \n  4 -> 5 [size =\"11286528\"]\n  5 [size=\"91789312\", alpha=\"0.01\", expect_size=\"45894656\"] \n  5 -> 6 [size =\"45894656\"]\n  6 [size=\"11597824\", alpha=\"0.18\", expect_size=\"5798912\"] \n  6 -> 7 [size =\"5798912\"]\n  7 [size=\"86235136\", alpha=\"0.15\", expect_size=\"43117568\"] \n  7 -> 8 [size =\"43117568\"]\n  8 [size=\"53309440\", alpha=\"0.08\", expect_size=\"26654720\"] \n  8 -> 9 [size =\"26654720\"]\n  9 [size=\"63203328\", alpha=\"0.08\", expect_size=\"31601664\"] \n  9 -> 10 [size =\"31601664\"]\n  10 [size=\"15233024\", alpha=\"0.08\", expect_size=\"7616512\"] \n  10 -> 11 [size =\"7616512\"]\n  11 [size=\"76568576\", alpha=\"0.13\", expect_size=\"38284288\"] \n  11 -> 12 [size =\"38284288\"]\n  12 [size=\"48146432\", alpha=\"0.13\", expect_size=\"24073216\"] \n  12 -> 13 [size =\"24073216\"]\n  13 [size=\"68222976\", alpha=\"0.19\", expect_size=\"34111488\"] \n  13 -> 14 [size =\"34111488\"]\n  14 [size=\"34226176\", alpha=\"0.11\", expect_size=\"17113088\"] \n  14 -> 15 [size =\"17113088\"]\n  15 [size=\"67065856\", alpha=\"0.13\", expect_size=\"33532928\"] \n  15 -> 16 [size =\"33532928\"]\n  16 [size=\"73768960\", alpha=\"0.13\", expect_size=\"36884480\"] \n  16 -> 17 [size =\"36884480\"]\n  17 [size=\"65685504\", alpha=\"0.09\", expect_size=\"32842752\"] \n  17 -> 18 [size =\"32842752\"]\n  18 [size=\"43988992\", alpha=\"0.19\", expect_size=\"21994496\"] \n  18 -> 19 [size =\"21994496\"]\n  19 [size=\"81575936\", alpha=\"0.16\", expect_size=\"40787968\"] \n  19 -> 20 [size =\"40787968\"]\n  20 [size=\"24739840\", alpha=\"0.20\", expect_size=\"12369920\"] \n  20 -> 21 [size =\"12369920\"]\n  21 [size=\"61247488\", alpha=\"0.05\", expect_size=\"30623744\"] \n  21 -> 22 [size =\"30623744\"]\n  22 [size=\"29057024\", alpha=\"0.05\", expect_size=\"14528512\"] \n  22 -> 23 [size =\"14528512\"]\n  23 [size=\"88270848\", alpha=\"0.02\", expect_size=\"44135424\"] \n  23 -> 24 [size =\"44135424\"]\n  24 [size=\"81573888\", alpha=\"0.02\", expect_size=\"40786944\"] \n  24 -> 25 [size =\"40786944\"]\n  25 [size=\"40904704\", alpha=\"0.18\", expect_size=\"20452352\"] \n  25 -> 26 [size =\"20452352\"]\n  26 [size=\"103837696\", alpha=\"0.15\", expect_size=\"51918848\"] \n  26 -> 27 [size =\"51918848\"]\n  27 [size=\"72574976\", alpha=\"0.08\", expect_size=\"36287488\"] \n  27 -> 28 [size =\"36287488\"]\n  28 [size=\"19363840\", alpha=\"0.10\", expect_size=\"9681920\"] \n  28 -> 29 [size =\"9681920\"]\n  29 [size=\"16347136\", alpha=\"0.03\", expect_size=\"8173568\"] \n  29 -> 30 [size =\"8173568\"]\n  30 [size=\"90992640\", alpha=\"0.17\", expect_size=\"45496320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42383360\", alpha=\"0.13\", expect_size=\"16953344\"] \n  1 -> 2 [size =\"16953344\"]\n  2 [size=\"83445760\", alpha=\"0.00\", expect_size=\"33378304\"] \n  2 -> 3 [size =\"33378304\"]\n  3 [size=\"78423040\", alpha=\"0.11\", expect_size=\"31369216\"] \n  3 -> 4 [size =\"31369216\"]\n  4 [size=\"128494080\", alpha=\"0.15\", expect_size=\"51397632\"] \n  4 -> 5 [size =\"51397632\"]\n  5 [size=\"16506880\", alpha=\"0.01\", expect_size=\"6602752\"] \n  5 -> 6 [size =\"6602752\"]\n  6 [size=\"90350080\", alpha=\"0.15\", expect_size=\"36140032\"] \n  6 -> 7 [size =\"36140032\"]\n  7 [size=\"127019520\", alpha=\"0.19\", expect_size=\"50807808\"] \n  7 -> 8 [size =\"50807808\"]\n  8 [size=\"101775360\", alpha=\"0.09\", expect_size=\"40710144\"] \n  8 -> 9 [size =\"40710144\"]\n  9 [size=\"82401280\", alpha=\"0.08\", expect_size=\"32960512\"] \n  9 -> 10 [size =\"32960512\"]\n  10 [size=\"129369600\", alpha=\"0.11\", expect_size=\"51747840\"] \n  10 -> 11 [size =\"51747840\"]\n  11 [size=\"42365440\", alpha=\"0.04\", expect_size=\"16946176\"] \n  11 -> 12 [size =\"16946176\"]\n  12 [size=\"117263360\", alpha=\"0.04\", expect_size=\"46905344\"] \n  12 -> 13 [size =\"46905344\"]\n  13 [size=\"118894080\", alpha=\"0.05\", expect_size=\"47557632\"] \n  13 -> 14 [size =\"47557632\"]\n  14 [size=\"63104000\", alpha=\"0.05\", expect_size=\"25241600\"] \n  14 -> 15 [size =\"25241600\"]\n  15 [size=\"33561600\", alpha=\"0.11\", expect_size=\"13424640\"] \n  15 -> 16 [size =\"13424640\"]\n  16 [size=\"41866240\", alpha=\"0.03\", expect_size=\"16746496\"] \n  16 -> 17 [size =\"16746496\"]\n  17 [size=\"14712320\", alpha=\"0.18\", expect_size=\"5884928\"] \n  17 -> 18 [size =\"5884928\"]\n  18 [size=\"125644800\", alpha=\"0.20\", expect_size=\"50257920\"] \n  18 -> 19 [size =\"50257920\"]\n  19 [size=\"62328320\", alpha=\"0.16\", expect_size=\"24931328\"] \n  19 -> 20 [size =\"24931328\"]\n  20 [size=\"110428160\", alpha=\"0.18\", expect_size=\"44171264\"] \n  20 -> 21 [size =\"44171264\"]\n  21 [size=\"59120640\", alpha=\"0.04\", expect_size=\"23648256\"] \n  21 -> 22 [size =\"23648256\"]\n  22 [size=\"84833280\", alpha=\"0.03\", expect_size=\"33933312\"] \n  22 -> 23 [size =\"33933312\"]\n  23 [size=\"108730880\", alpha=\"0.12\", expect_size=\"43492352\"] \n  23 -> 24 [size =\"43492352\"]\n  24 [size=\"18634240\", alpha=\"0.01\", expect_size=\"7453696\"] \n  24 -> 25 [size =\"7453696\"]\n  25 [size=\"50513920\", alpha=\"0.11\", expect_size=\"20205568\"] \n  25 -> 26 [size =\"20205568\"]\n  26 [size=\"116075520\", alpha=\"0.14\", expect_size=\"46430208\"] \n  26 -> 27 [size =\"46430208\"]\n  27 [size=\"16271360\", alpha=\"0.16\", expect_size=\"6508544\"] \n  27 -> 28 [size =\"6508544\"]\n  28 [size=\"121428480\", alpha=\"0.13\", expect_size=\"48571392\"] \n  28 -> 29 [size =\"48571392\"]\n  29 [size=\"119869440\", alpha=\"0.02\", expect_size=\"47947776\"] \n  29 -> 30 [size =\"47947776\"]\n  30 [size=\"97996800\", alpha=\"0.10\", expect_size=\"39198720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174694400\", alpha=\"0.02\", expect_size=\"52408320\"] \n  1 -> 2 [size =\"52408320\"]\n  2 [size=\"167891627\", alpha=\"0.17\", expect_size=\"50367488\"] \n  2 -> 3 [size =\"50367488\"]\n  3 [size=\"74011307\", alpha=\"0.20\", expect_size=\"22203392\"] \n  3 -> 4 [size =\"22203392\"]\n  4 [size=\"158999893\", alpha=\"0.14\", expect_size=\"47699968\"] \n  4 -> 5 [size =\"47699968\"]\n  5 [size=\"140195840\", alpha=\"0.03\", expect_size=\"42058752\"] \n  5 -> 6 [size =\"42058752\"]\n  6 [size=\"158515200\", alpha=\"0.05\", expect_size=\"47554560\"] \n  6 -> 7 [size =\"47554560\"]\n  7 [size=\"56009387\", alpha=\"0.05\", expect_size=\"16802816\"] \n  7 -> 8 [size =\"16802816\"]\n  8 [size=\"46827520\", alpha=\"0.14\", expect_size=\"14048256\"] \n  8 -> 9 [size =\"14048256\"]\n  9 [size=\"61194240\", alpha=\"0.12\", expect_size=\"18358272\"] \n  9 -> 10 [size =\"18358272\"]\n  10 [size=\"35082240\", alpha=\"0.19\", expect_size=\"10524672\"] \n  10 -> 11 [size =\"10524672\"]\n  11 [size=\"99580587\", alpha=\"0.11\", expect_size=\"29874176\"] \n  11 -> 12 [size =\"29874176\"]\n  12 [size=\"117367467\", alpha=\"0.12\", expect_size=\"35210240\"] \n  12 -> 13 [size =\"35210240\"]\n  13 [size=\"96194560\", alpha=\"0.19\", expect_size=\"28858368\"] \n  13 -> 14 [size =\"28858368\"]\n  14 [size=\"92282880\", alpha=\"0.09\", expect_size=\"27684864\"] \n  14 -> 15 [size =\"27684864\"]\n  15 [size=\"48930133\", alpha=\"0.11\", expect_size=\"14679040\"] \n  15 -> 16 [size =\"14679040\"]\n  16 [size=\"73799680\", alpha=\"0.07\", expect_size=\"22139904\"] \n  16 -> 17 [size =\"22139904\"]\n  17 [size=\"110284800\", alpha=\"0.04\", expect_size=\"33085440\"] \n  17 -> 18 [size =\"33085440\"]\n  18 [size=\"147988480\", alpha=\"0.00\", expect_size=\"44396544\"] \n  18 -> 19 [size =\"44396544\"]\n  19 [size=\"98334720\", alpha=\"0.11\", expect_size=\"29500416\"] \n  19 -> 20 [size =\"29500416\"]\n  20 [size=\"36440747\", alpha=\"0.05\", expect_size=\"10932224\"] \n  20 -> 21 [size =\"10932224\"]\n  21 [size=\"31962453\", alpha=\"0.19\", expect_size=\"9588736\"] \n  21 -> 22 [size =\"9588736\"]\n  22 [size=\"118937600\", alpha=\"0.12\", expect_size=\"35681280\"] \n  22 -> 23 [size =\"35681280\"]\n  23 [size=\"57770667\", alpha=\"0.12\", expect_size=\"17331200\"] \n  23 -> 24 [size =\"17331200\"]\n  24 [size=\"49250987\", alpha=\"0.10\", expect_size=\"14775296\"] \n  24 -> 25 [size =\"14775296\"]\n  25 [size=\"121077760\", alpha=\"0.04\", expect_size=\"36323328\"] \n  25 -> 26 [size =\"36323328\"]\n  26 [size=\"47015253\", alpha=\"0.15\", expect_size=\"14104576\"] \n  26 -> 27 [size =\"14104576\"]\n  27 [size=\"100843520\", alpha=\"0.12\", expect_size=\"30253056\"] \n  27 -> 28 [size =\"30253056\"]\n  28 [size=\"130925227\", alpha=\"0.12\", expect_size=\"39277568\"] \n  28 -> 29 [size =\"39277568\"]\n  29 [size=\"133857280\", alpha=\"0.18\", expect_size=\"40157184\"] \n  29 -> 30 [size =\"40157184\"]\n  30 [size=\"63351467\", alpha=\"0.06\", expect_size=\"19005440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30668800\", alpha=\"0.11\", expect_size=\"15334400\"] \n  1 -> 2 [size =\"15334400\"]\n  2 [size=\"83337216\", alpha=\"0.03\", expect_size=\"41668608\"] \n  2 -> 3 [size =\"41668608\"]\n  3 [size=\"68231168\", alpha=\"0.07\", expect_size=\"34115584\"] \n  3 -> 4 [size =\"34115584\"]\n  4 [size=\"34762752\", alpha=\"0.12\", expect_size=\"17381376\"] \n  4 -> 5 [size =\"17381376\"]\n  5 [size=\"53342208\", alpha=\"0.13\", expect_size=\"26671104\"] \n  5 -> 6 [size =\"26671104\"]\n  6 [size=\"14712832\", alpha=\"0.01\", expect_size=\"7356416\"] \n  6 -> 7 [size =\"7356416\"]\n  7 [size=\"96415744\", alpha=\"0.18\", expect_size=\"48207872\"] \n  7 -> 8 [size =\"48207872\"]\n  8 [size=\"56104960\", alpha=\"0.04\", expect_size=\"28052480\"] \n  8 -> 9 [size =\"28052480\"]\n  9 [size=\"38844416\", alpha=\"0.01\", expect_size=\"19422208\"] \n  9 -> 10 [size =\"19422208\"]\n  10 [size=\"60880896\", alpha=\"0.12\", expect_size=\"30440448\"] \n  10 -> 11 [size =\"30440448\"]\n  11 [size=\"14970880\", alpha=\"0.11\", expect_size=\"7485440\"] \n  11 -> 12 [size =\"7485440\"]\n  12 [size=\"65712128\", alpha=\"0.03\", expect_size=\"32856064\"] \n  12 -> 13 [size =\"32856064\"]\n  13 [size=\"80060416\", alpha=\"0.14\", expect_size=\"40030208\"] \n  13 -> 14 [size =\"40030208\"]\n  14 [size=\"18235392\", alpha=\"0.02\", expect_size=\"9117696\"] \n  14 -> 15 [size =\"9117696\"]\n  15 [size=\"75311104\", alpha=\"0.18\", expect_size=\"37655552\"] \n  15 -> 16 [size =\"37655552\"]\n  16 [size=\"40626176\", alpha=\"0.16\", expect_size=\"20313088\"] \n  16 -> 17 [size =\"20313088\"]\n  17 [size=\"46129152\", alpha=\"0.12\", expect_size=\"23064576\"] \n  17 -> 18 [size =\"23064576\"]\n  18 [size=\"34488320\", alpha=\"0.01\", expect_size=\"17244160\"] \n  18 -> 19 [size =\"17244160\"]\n  19 [size=\"54466560\", alpha=\"0.12\", expect_size=\"27233280\"] \n  19 -> 20 [size =\"27233280\"]\n  20 [size=\"61536256\", alpha=\"0.14\", expect_size=\"30768128\"] \n  20 -> 21 [size =\"30768128\"]\n  21 [size=\"24219648\", alpha=\"0.20\", expect_size=\"12109824\"] \n  21 -> 22 [size =\"12109824\"]\n  22 [size=\"77457408\", alpha=\"0.02\", expect_size=\"38728704\"] \n  22 -> 23 [size =\"38728704\"]\n  23 [size=\"90357760\", alpha=\"0.15\", expect_size=\"45178880\"] \n  23 -> 24 [size =\"45178880\"]\n  24 [size=\"62369792\", alpha=\"0.14\", expect_size=\"31184896\"] \n  24 -> 25 [size =\"31184896\"]\n  25 [size=\"72781824\", alpha=\"0.03\", expect_size=\"36390912\"] \n  25 -> 26 [size =\"36390912\"]\n  26 [size=\"61022208\", alpha=\"0.11\", expect_size=\"30511104\"] \n  26 -> 27 [size =\"30511104\"]\n  27 [size=\"41486336\", alpha=\"0.19\", expect_size=\"20743168\"] \n  27 -> 28 [size =\"20743168\"]\n  28 [size=\"100421632\", alpha=\"0.16\", expect_size=\"50210816\"] \n  28 -> 29 [size =\"50210816\"]\n  29 [size=\"103501824\", alpha=\"0.18\", expect_size=\"51750912\"] \n  29 -> 30 [size =\"51750912\"]\n  30 [size=\"65140736\", alpha=\"0.12\", expect_size=\"32570368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56182784\", alpha=\"0.04\", expect_size=\"28091392\"] \n  1 -> 8 [size =\"28091392\"]\n  1 -> 11 [size =\"28091392\"]\n  1 -> 12 [size =\"28091392\"]\n  1 -> 13 [size =\"28091392\"]\n  1 -> 17 [size =\"28091392\"]\n  2 [size=\"37369856\", alpha=\"0.10\", expect_size=\"18684928\"] \n  2 -> 8 [size =\"18684928\"]\n  2 -> 10 [size =\"18684928\"]\n  2 -> 11 [size =\"18684928\"]\n  2 -> 13 [size =\"18684928\"]\n  2 -> 17 [size =\"18684928\"]\n  2 -> 18 [size =\"18684928\"]\n  3 [size=\"37017600\", alpha=\"0.03\", expect_size=\"18508800\"] \n  3 -> 8 [size =\"18508800\"]\n  3 -> 11 [size =\"18508800\"]\n  3 -> 13 [size =\"18508800\"]\n  3 -> 13 [size =\"18508800\"]\n  3 -> 19 [size =\"18508800\"]\n  4 [size=\"70293504\", alpha=\"0.01\", expect_size=\"35146752\"] \n  4 -> 8 [size =\"35146752\"]\n  4 -> 12 [size =\"35146752\"]\n  4 -> 13 [size =\"35146752\"]\n  4 -> 15 [size =\"35146752\"]\n  4 -> 17 [size =\"35146752\"]\n  4 -> 18 [size =\"35146752\"]\n  4 -> 19 [size =\"35146752\"]\n  5 [size=\"38037504\", alpha=\"0.06\", expect_size=\"19018752\"] \n  5 -> 8 [size =\"19018752\"]\n  5 -> 9 [size =\"19018752\"]\n  5 -> 11 [size =\"19018752\"]\n  5 -> 12 [size =\"19018752\"]\n  5 -> 13 [size =\"19018752\"]\n  5 -> 14 [size =\"19018752\"]\n  5 -> 15 [size =\"19018752\"]\n  5 -> 17 [size =\"19018752\"]\n  5 -> 19 [size =\"19018752\"]\n  6 [size=\"71380992\", alpha=\"0.14\", expect_size=\"35690496\"] \n  6 -> 13 [size =\"35690496\"]\n  6 -> 17 [size =\"35690496\"]\n  7 [size=\"80728064\", alpha=\"0.02\", expect_size=\"40364032\"] \n  7 -> 11 [size =\"40364032\"]\n  7 -> 12 [size =\"40364032\"]\n  7 -> 16 [size =\"40364032\"]\n  7 -> 17 [size =\"40364032\"]\n  8 [size=\"41240576\", alpha=\"0.09\", expect_size=\"20620288\"] \n  8 -> 20 [size =\"20620288\"]\n  8 -> 21 [size =\"20620288\"]\n  8 -> 23 [size =\"20620288\"]\n  8 -> 24 [size =\"20620288\"]\n  8 -> 29 [size =\"20620288\"]\n  9 [size=\"78366720\", alpha=\"0.19\", expect_size=\"39183360\"] \n  9 -> 20 [size =\"39183360\"]\n  9 -> 24 [size =\"39183360\"]\n  10 [size=\"92250112\", alpha=\"0.12\", expect_size=\"46125056\"] \n  10 -> 20 [size =\"46125056\"]\n  10 -> 21 [size =\"46125056\"]\n  10 -> 23 [size =\"46125056\"]\n  10 -> 26 [size =\"46125056\"]\n  10 -> 27 [size =\"46125056\"]\n  10 -> 28 [size =\"46125056\"]\n  11 [size=\"21833728\", alpha=\"0.08\", expect_size=\"10916864\"] \n  11 -> 20 [size =\"10916864\"]\n  11 -> 21 [size =\"10916864\"]\n  11 -> 23 [size =\"10916864\"]\n  11 -> 24 [size =\"10916864\"]\n  11 -> 27 [size =\"10916864\"]\n  11 -> 28 [size =\"10916864\"]\n  11 -> 29 [size =\"10916864\"]\n  12 [size=\"42299392\", alpha=\"0.03\", expect_size=\"21149696\"] \n  12 -> 20 [size =\"21149696\"]\n  12 -> 21 [size =\"21149696\"]\n  12 -> 22 [size =\"21149696\"]\n  12 -> 24 [size =\"21149696\"]\n  12 -> 25 [size =\"21149696\"]\n  12 -> 26 [size =\"21149696\"]\n  12 -> 28 [size =\"21149696\"]\n  13 [size=\"90468352\", alpha=\"0.14\", expect_size=\"45234176\"] \n  13 -> 23 [size =\"45234176\"]\n  13 -> 24 [size =\"45234176\"]\n  13 -> 25 [size =\"45234176\"]\n  13 -> 28 [size =\"45234176\"]\n  14 [size=\"11366400\", alpha=\"0.05\", expect_size=\"5683200\"] \n  14 -> 20 [size =\"5683200\"]\n  14 -> 21 [size =\"5683200\"]\n  14 -> 24 [size =\"5683200\"]\n  14 -> 25 [size =\"5683200\"]\n  14 -> 28 [size =\"5683200\"]\n  15 [size=\"18278400\", alpha=\"0.13\", expect_size=\"9139200\"] \n  15 -> 21 [size =\"9139200\"]\n  15 -> 23 [size =\"9139200\"]\n  15 -> 24 [size =\"9139200\"]\n  15 -> 25 [size =\"9139200\"]\n  15 -> 29 [size =\"9139200\"]\n  16 [size=\"46792704\", alpha=\"0.08\", expect_size=\"23396352\"] \n  16 -> 20 [size =\"23396352\"]\n  16 -> 21 [size =\"23396352\"]\n  16 -> 23 [size =\"23396352\"]\n  16 -> 24 [size =\"23396352\"]\n  16 -> 25 [size =\"23396352\"]\n  16 -> 28 [size =\"23396352\"]\n  16 -> 29 [size =\"23396352\"]\n  17 [size=\"17309696\", alpha=\"0.19\", expect_size=\"8654848\"] \n  17 -> 23 [size =\"8654848\"]\n  17 -> 24 [size =\"8654848\"]\n  17 -> 25 [size =\"8654848\"]\n  17 -> 26 [size =\"8654848\"]\n  17 -> 28 [size =\"8654848\"]\n  17 -> 28 [size =\"8654848\"]\n  18 [size=\"28172288\", alpha=\"0.12\", expect_size=\"14086144\"] \n  18 -> 29 [size =\"14086144\"]\n  19 [size=\"68685824\", alpha=\"0.15\", expect_size=\"34342912\"] \n  19 -> 21 [size =\"34342912\"]\n  19 -> 22 [size =\"34342912\"]\n  19 -> 23 [size =\"34342912\"]\n  19 -> 25 [size =\"34342912\"]\n  19 -> 28 [size =\"34342912\"]\n  20 [size=\"64079872\", alpha=\"0.15\", expect_size=\"32039936\"] \n  21 [size=\"27840512\", alpha=\"0.05\", expect_size=\"13920256\"] \n  21 -> 30 [size =\"13920256\"]\n  22 [size=\"65525760\", alpha=\"0.00\", expect_size=\"32762880\"] \n  23 [size=\"80424960\", alpha=\"0.01\", expect_size=\"40212480\"] \n  24 [size=\"50348032\", alpha=\"0.15\", expect_size=\"25174016\"] \n  25 [size=\"74752000\", alpha=\"0.15\", expect_size=\"37376000\"] \n  26 [size=\"42385408\", alpha=\"0.07\", expect_size=\"21192704\"] \n  26 -> 30 [size =\"21192704\"]\n  27 [size=\"78213120\", alpha=\"0.14\", expect_size=\"39106560\"] \n  27 -> 30 [size =\"39106560\"]\n  28 [size=\"73033728\", alpha=\"0.08\", expect_size=\"36516864\"] \n  29 [size=\"35796992\", alpha=\"0.17\", expect_size=\"17898496\"] \n  30 [size=\"12705792\", alpha=\"0.02\", expect_size=\"6352896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83232768\", alpha=\"0.17\", expect_size=\"41616384\"] \n  1 -> 20 [size =\"41616384\"]\n  1 -> 21 [size =\"41616384\"]\n  1 -> 25 [size =\"41616384\"]\n  1 -> 27 [size =\"41616384\"]\n  2 [size=\"31782912\", alpha=\"0.17\", expect_size=\"15891456\"] \n  2 -> 21 [size =\"15891456\"]\n  2 -> 22 [size =\"15891456\"]\n  2 -> 24 [size =\"15891456\"]\n  2 -> 27 [size =\"15891456\"]\n  3 [size=\"45412352\", alpha=\"0.06\", expect_size=\"22706176\"] \n  3 -> 21 [size =\"22706176\"]\n  3 -> 22 [size =\"22706176\"]\n  3 -> 24 [size =\"22706176\"]\n  3 -> 26 [size =\"22706176\"]\n  3 -> 27 [size =\"22706176\"]\n  3 -> 30 [size =\"22706176\"]\n  4 [size=\"43290624\", alpha=\"0.15\", expect_size=\"21645312\"] \n  4 -> 21 [size =\"21645312\"]\n  4 -> 27 [size =\"21645312\"]\n  4 -> 29 [size =\"21645312\"]\n  5 [size=\"63393792\", alpha=\"0.13\", expect_size=\"31696896\"] \n  5 -> 21 [size =\"31696896\"]\n  5 -> 24 [size =\"31696896\"]\n  5 -> 25 [size =\"31696896\"]\n  6 [size=\"50767872\", alpha=\"0.09\", expect_size=\"25383936\"] \n  6 -> 20 [size =\"25383936\"]\n  6 -> 21 [size =\"25383936\"]\n  6 -> 25 [size =\"25383936\"]\n  6 -> 27 [size =\"25383936\"]\n  6 -> 30 [size =\"25383936\"]\n  7 [size=\"92286976\", alpha=\"0.03\", expect_size=\"46143488\"] \n  7 -> 27 [size =\"46143488\"]\n  7 -> 28 [size =\"46143488\"]\n  8 [size=\"86614016\", alpha=\"0.16\", expect_size=\"43307008\"] \n  8 -> 19 [size =\"43307008\"]\n  8 -> 20 [size =\"43307008\"]\n  8 -> 22 [size =\"43307008\"]\n  8 -> 24 [size =\"43307008\"]\n  8 -> 26 [size =\"43307008\"]\n  8 -> 27 [size =\"43307008\"]\n  9 [size=\"17876992\", alpha=\"0.18\", expect_size=\"8938496\"] \n  9 -> 20 [size =\"8938496\"]\n  9 -> 21 [size =\"8938496\"]\n  9 -> 25 [size =\"8938496\"]\n  9 -> 26 [size =\"8938496\"]\n  9 -> 27 [size =\"8938496\"]\n  9 -> 29 [size =\"8938496\"]\n  9 -> 30 [size =\"8938496\"]\n  10 [size=\"83660800\", alpha=\"0.05\", expect_size=\"41830400\"] \n  10 -> 19 [size =\"41830400\"]\n  10 -> 23 [size =\"41830400\"]\n  10 -> 24 [size =\"41830400\"]\n  10 -> 26 [size =\"41830400\"]\n  10 -> 29 [size =\"41830400\"]\n  11 [size=\"53213184\", alpha=\"0.03\", expect_size=\"26606592\"] \n  11 -> 21 [size =\"26606592\"]\n  11 -> 22 [size =\"26606592\"]\n  11 -> 24 [size =\"26606592\"]\n  11 -> 27 [size =\"26606592\"]\n  11 -> 29 [size =\"26606592\"]\n  12 [size=\"39208960\", alpha=\"0.02\", expect_size=\"19604480\"] \n  12 -> 21 [size =\"19604480\"]\n  12 -> 22 [size =\"19604480\"]\n  12 -> 26 [size =\"19604480\"]\n  12 -> 27 [size =\"19604480\"]\n  13 [size=\"27346944\", alpha=\"0.16\", expect_size=\"13673472\"] \n  13 -> 21 [size =\"13673472\"]\n  13 -> 22 [size =\"13673472\"]\n  13 -> 24 [size =\"13673472\"]\n  13 -> 26 [size =\"13673472\"]\n  14 [size=\"55615488\", alpha=\"0.05\", expect_size=\"27807744\"] \n  14 -> 19 [size =\"27807744\"]\n  14 -> 20 [size =\"27807744\"]\n  14 -> 25 [size =\"27807744\"]\n  14 -> 26 [size =\"27807744\"]\n  14 -> 30 [size =\"27807744\"]\n  15 [size=\"30795776\", alpha=\"0.15\", expect_size=\"15397888\"] \n  15 -> 21 [size =\"15397888\"]\n  15 -> 24 [size =\"15397888\"]\n  15 -> 25 [size =\"15397888\"]\n  16 [size=\"92626944\", alpha=\"0.09\", expect_size=\"46313472\"] \n  16 -> 20 [size =\"46313472\"]\n  16 -> 24 [size =\"46313472\"]\n  16 -> 25 [size =\"46313472\"]\n  16 -> 30 [size =\"46313472\"]\n  17 [size=\"42561536\", alpha=\"0.15\", expect_size=\"21280768\"] \n  17 -> 20 [size =\"21280768\"]\n  17 -> 21 [size =\"21280768\"]\n  17 -> 24 [size =\"21280768\"]\n  17 -> 25 [size =\"21280768\"]\n  17 -> 27 [size =\"21280768\"]\n  18 [size=\"56832000\", alpha=\"0.17\", expect_size=\"28416000\"] \n  18 -> 20 [size =\"28416000\"]\n  18 -> 21 [size =\"28416000\"]\n  18 -> 24 [size =\"28416000\"]\n  18 -> 25 [size =\"28416000\"]\n  18 -> 27 [size =\"28416000\"]\n  18 -> 29 [size =\"28416000\"]\n  19 [size=\"36704256\", alpha=\"0.13\", expect_size=\"18352128\"] \n  20 [size=\"28004352\", alpha=\"0.07\", expect_size=\"14002176\"] \n  21 [size=\"53786624\", alpha=\"0.16\", expect_size=\"26893312\"] \n  22 [size=\"69754880\", alpha=\"0.10\", expect_size=\"34877440\"] \n  23 [size=\"80183296\", alpha=\"0.11\", expect_size=\"40091648\"] \n  24 [size=\"60665856\", alpha=\"0.19\", expect_size=\"30332928\"] \n  25 [size=\"85309440\", alpha=\"0.19\", expect_size=\"42654720\"] \n  26 [size=\"62459904\", alpha=\"0.07\", expect_size=\"31229952\"] \n  27 [size=\"10696704\", alpha=\"0.12\", expect_size=\"5348352\"] \n  28 [size=\"81801216\", alpha=\"0.13\", expect_size=\"40900608\"] \n  29 [size=\"66185216\", alpha=\"0.16\", expect_size=\"33092608\"] \n  30 [size=\"34334720\", alpha=\"0.14\", expect_size=\"17167360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131085653\", alpha=\"0.13\", expect_size=\"39325696\"] \n  1 -> 11 [size =\"39325696\"]\n  1 -> 12 [size =\"39325696\"]\n  1 -> 14 [size =\"39325696\"]\n  1 -> 15 [size =\"39325696\"]\n  1 -> 16 [size =\"39325696\"]\n  1 -> 20 [size =\"39325696\"]\n  2 [size=\"90992640\", alpha=\"0.07\", expect_size=\"27297792\"] \n  2 -> 11 [size =\"27297792\"]\n  2 -> 12 [size =\"27297792\"]\n  2 -> 13 [size =\"27297792\"]\n  2 -> 14 [size =\"27297792\"]\n  2 -> 16 [size =\"27297792\"]\n  2 -> 17 [size =\"27297792\"]\n  3 [size=\"68126720\", alpha=\"0.05\", expect_size=\"20438016\"] \n  3 -> 11 [size =\"20438016\"]\n  3 -> 12 [size =\"20438016\"]\n  3 -> 13 [size =\"20438016\"]\n  3 -> 18 [size =\"20438016\"]\n  4 [size=\"150319787\", alpha=\"0.08\", expect_size=\"45095936\"] \n  4 -> 13 [size =\"45095936\"]\n  4 -> 14 [size =\"45095936\"]\n  4 -> 15 [size =\"45095936\"]\n  4 -> 19 [size =\"45095936\"]\n  5 [size=\"99747840\", alpha=\"0.12\", expect_size=\"29924352\"] \n  5 -> 11 [size =\"29924352\"]\n  5 -> 12 [size =\"29924352\"]\n  5 -> 13 [size =\"29924352\"]\n  5 -> 15 [size =\"29924352\"]\n  6 [size=\"64433493\", alpha=\"0.08\", expect_size=\"19330048\"] \n  6 -> 11 [size =\"19330048\"]\n  6 -> 13 [size =\"19330048\"]\n  6 -> 14 [size =\"19330048\"]\n  6 -> 17 [size =\"19330048\"]\n  6 -> 20 [size =\"19330048\"]\n  7 [size=\"27385173\", alpha=\"0.01\", expect_size=\"8215552\"] \n  7 -> 13 [size =\"8215552\"]\n  7 -> 16 [size =\"8215552\"]\n  7 -> 18 [size =\"8215552\"]\n  8 [size=\"57176747\", alpha=\"0.15\", expect_size=\"17153024\"] \n  8 -> 13 [size =\"17153024\"]\n  9 [size=\"112001707\", alpha=\"0.09\", expect_size=\"33600512\"] \n  9 -> 11 [size =\"33600512\"]\n  9 -> 12 [size =\"33600512\"]\n  9 -> 15 [size =\"33600512\"]\n  9 -> 17 [size =\"33600512\"]\n  10 [size=\"46462293\", alpha=\"0.16\", expect_size=\"13938688\"] \n  10 -> 11 [size =\"13938688\"]\n  10 -> 12 [size =\"13938688\"]\n  10 -> 13 [size =\"13938688\"]\n  10 -> 20 [size =\"13938688\"]\n  11 [size=\"131010560\", alpha=\"0.10\", expect_size=\"39303168\"] \n  11 -> 23 [size =\"39303168\"]\n  11 -> 25 [size =\"39303168\"]\n  11 -> 26 [size =\"39303168\"]\n  12 [size=\"78312107\", alpha=\"0.09\", expect_size=\"23493632\"] \n  12 -> 24 [size =\"23493632\"]\n  12 -> 26 [size =\"23493632\"]\n  12 -> 26 [size =\"23493632\"]\n  12 -> 27 [size =\"23493632\"]\n  13 [size=\"133983573\", alpha=\"0.03\", expect_size=\"40195072\"] \n  13 -> 22 [size =\"40195072\"]\n  13 -> 25 [size =\"40195072\"]\n  13 -> 26 [size =\"40195072\"]\n  14 [size=\"19623253\", alpha=\"0.04\", expect_size=\"5886976\"] \n  14 -> 21 [size =\"5886976\"]\n  14 -> 22 [size =\"5886976\"]\n  14 -> 25 [size =\"5886976\"]\n  14 -> 26 [size =\"5886976\"]\n  15 [size=\"85504000\", alpha=\"0.13\", expect_size=\"25651200\"] \n  15 -> 26 [size =\"25651200\"]\n  15 -> 27 [size =\"25651200\"]\n  16 [size=\"20022613\", alpha=\"0.03\", expect_size=\"6006784\"] \n  16 -> 25 [size =\"6006784\"]\n  16 -> 26 [size =\"6006784\"]\n  16 -> 27 [size =\"6006784\"]\n  17 [size=\"85288960\", alpha=\"0.15\", expect_size=\"25586688\"] \n  17 -> 25 [size =\"25586688\"]\n  17 -> 26 [size =\"25586688\"]\n  17 -> 29 [size =\"25586688\"]\n  18 [size=\"92514987\", alpha=\"0.15\", expect_size=\"27754496\"] \n  18 -> 24 [size =\"27754496\"]\n  18 -> 25 [size =\"27754496\"]\n  18 -> 28 [size =\"27754496\"]\n  19 [size=\"49428480\", alpha=\"0.03\", expect_size=\"14828544\"] \n  19 -> 21 [size =\"14828544\"]\n  19 -> 25 [size =\"14828544\"]\n  19 -> 28 [size =\"14828544\"]\n  20 [size=\"117480107\", alpha=\"0.01\", expect_size=\"35244032\"] \n  20 -> 21 [size =\"35244032\"]\n  20 -> 25 [size =\"35244032\"]\n  21 [size=\"87736320\", alpha=\"0.14\", expect_size=\"26320896\"] \n  22 [size=\"163355307\", alpha=\"0.17\", expect_size=\"49006592\"] \n  23 [size=\"79216640\", alpha=\"0.05\", expect_size=\"23764992\"] \n  24 [size=\"101297493\", alpha=\"0.11\", expect_size=\"30389248\"] \n  25 [size=\"131034453\", alpha=\"0.07\", expect_size=\"39310336\"] \n  25 -> 30 [size =\"39310336\"]\n  26 [size=\"76028587\", alpha=\"0.09\", expect_size=\"22808576\"] \n  27 [size=\"102597973\", alpha=\"0.12\", expect_size=\"30779392\"] \n  28 [size=\"59562667\", alpha=\"0.00\", expect_size=\"17868800\"] \n  29 [size=\"17803947\", alpha=\"0.01\", expect_size=\"5341184\"] \n  30 [size=\"41369600\", alpha=\"0.05\", expect_size=\"12410880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129180160\", alpha=\"0.02\", expect_size=\"51672064\"] \n  1 -> 21 [size =\"51672064\"]\n  1 -> 26 [size =\"51672064\"]\n  1 -> 27 [size =\"51672064\"]\n  2 [size=\"85314560\", alpha=\"0.01\", expect_size=\"34125824\"] \n  2 -> 26 [size =\"34125824\"]\n  2 -> 28 [size =\"34125824\"]\n  2 -> 30 [size =\"34125824\"]\n  3 [size=\"24427520\", alpha=\"0.17\", expect_size=\"9771008\"] \n  3 -> 22 [size =\"9771008\"]\n  3 -> 27 [size =\"9771008\"]\n  3 -> 28 [size =\"9771008\"]\n  4 [size=\"72087040\", alpha=\"0.19\", expect_size=\"28834816\"] \n  4 -> 22 [size =\"28834816\"]\n  4 -> 30 [size =\"28834816\"]\n  5 [size=\"75962880\", alpha=\"0.08\", expect_size=\"30385152\"] \n  5 -> 28 [size =\"30385152\"]\n  6 [size=\"71009280\", alpha=\"0.02\", expect_size=\"28403712\"] \n  6 -> 22 [size =\"28403712\"]\n  6 -> 27 [size =\"28403712\"]\n  6 -> 30 [size =\"28403712\"]\n  7 [size=\"91491840\", alpha=\"0.09\", expect_size=\"36596736\"] \n  7 -> 22 [size =\"36596736\"]\n  7 -> 30 [size =\"36596736\"]\n  7 -> 30 [size =\"36596736\"]\n  8 [size=\"48596480\", alpha=\"0.14\", expect_size=\"19438592\"] \n  8 -> 23 [size =\"19438592\"]\n  8 -> 24 [size =\"19438592\"]\n  8 -> 26 [size =\"19438592\"]\n  8 -> 28 [size =\"19438592\"]\n  9 [size=\"122654720\", alpha=\"0.06\", expect_size=\"49061888\"] \n  9 -> 21 [size =\"49061888\"]\n  10 [size=\"18265600\", alpha=\"0.12\", expect_size=\"7306240\"] \n  10 -> 24 [size =\"7306240\"]\n  10 -> 26 [size =\"7306240\"]\n  11 [size=\"57372160\", alpha=\"0.15\", expect_size=\"22948864\"] \n  11 -> 24 [size =\"22948864\"]\n  11 -> 26 [size =\"22948864\"]\n  11 -> 27 [size =\"22948864\"]\n  11 -> 28 [size =\"22948864\"]\n  12 [size=\"67952640\", alpha=\"0.13\", expect_size=\"27181056\"] \n  12 -> 21 [size =\"27181056\"]\n  12 -> 22 [size =\"27181056\"]\n  12 -> 24 [size =\"27181056\"]\n  12 -> 26 [size =\"27181056\"]\n  13 [size=\"74613760\", alpha=\"0.03\", expect_size=\"29845504\"] \n  13 -> 22 [size =\"29845504\"]\n  13 -> 22 [size =\"29845504\"]\n  13 -> 23 [size =\"29845504\"]\n  13 -> 25 [size =\"29845504\"]\n  13 -> 27 [size =\"29845504\"]\n  14 [size=\"55692800\", alpha=\"0.15\", expect_size=\"22277120\"] \n  14 -> 22 [size =\"22277120\"]\n  14 -> 23 [size =\"22277120\"]\n  14 -> 25 [size =\"22277120\"]\n  15 [size=\"49361920\", alpha=\"0.11\", expect_size=\"19744768\"] \n  15 -> 22 [size =\"19744768\"]\n  15 -> 28 [size =\"19744768\"]\n  16 [size=\"94656000\", alpha=\"0.11\", expect_size=\"37862400\"] \n  16 -> 22 [size =\"37862400\"]\n  16 -> 24 [size =\"37862400\"]\n  16 -> 27 [size =\"37862400\"]\n  16 -> 30 [size =\"37862400\"]\n  17 [size=\"108725760\", alpha=\"0.11\", expect_size=\"43490304\"] \n  17 -> 22 [size =\"43490304\"]\n  17 -> 24 [size =\"43490304\"]\n  17 -> 28 [size =\"43490304\"]\n  17 -> 30 [size =\"43490304\"]\n  18 [size=\"45611520\", alpha=\"0.11\", expect_size=\"18244608\"] \n  18 -> 22 [size =\"18244608\"]\n  18 -> 25 [size =\"18244608\"]\n  18 -> 26 [size =\"18244608\"]\n  18 -> 30 [size =\"18244608\"]\n  19 [size=\"128954880\", alpha=\"0.04\", expect_size=\"51581952\"] \n  19 -> 30 [size =\"51581952\"]\n  20 [size=\"44083200\", alpha=\"0.07\", expect_size=\"17633280\"] \n  20 -> 26 [size =\"17633280\"]\n  20 -> 29 [size =\"17633280\"]\n  20 -> 30 [size =\"17633280\"]\n  21 [size=\"112437760\", alpha=\"0.10\", expect_size=\"44975104\"] \n  22 [size=\"83642880\", alpha=\"0.05\", expect_size=\"33457152\"] \n  23 [size=\"41351680\", alpha=\"0.02\", expect_size=\"16540672\"] \n  24 [size=\"60608000\", alpha=\"0.09\", expect_size=\"24243200\"] \n  25 [size=\"29603840\", alpha=\"0.07\", expect_size=\"11841536\"] \n  26 [size=\"97280000\", alpha=\"0.15\", expect_size=\"38912000\"] \n  27 [size=\"43284480\", alpha=\"0.16\", expect_size=\"17313792\"] \n  28 [size=\"109852160\", alpha=\"0.03\", expect_size=\"43940864\"] \n  29 [size=\"58923520\", alpha=\"0.08\", expect_size=\"23569408\"] \n  30 [size=\"80683520\", alpha=\"0.14\", expect_size=\"32273408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88240640\", alpha=\"0.01\", expect_size=\"35296256\"] \n  1 -> 2 [size =\"35296256\"]\n  1 -> 3 [size =\"35296256\"]\n  2 [size=\"127577600\", alpha=\"0.17\", expect_size=\"51031040\"] \n  2 -> 5 [size =\"51031040\"]\n  3 [size=\"73884160\", alpha=\"0.03\", expect_size=\"29553664\"] \n  3 -> 4 [size =\"29553664\"]\n  4 [size=\"119874560\", alpha=\"0.17\", expect_size=\"47949824\"] \n  5 [size=\"71513600\", alpha=\"0.06\", expect_size=\"28605440\"] \n  5 -> 6 [size =\"28605440\"]\n  6 [size=\"77946880\", alpha=\"0.09\", expect_size=\"31178752\"] \n  6 -> 7 [size =\"31178752\"]\n  7 [size=\"102453760\", alpha=\"0.06\", expect_size=\"40981504\"] \n  7 -> 8 [size =\"40981504\"]\n  8 [size=\"22784000\", alpha=\"0.07\", expect_size=\"9113600\"] \n  8 -> 9 [size =\"9113600\"]\n  8 -> 10 [size =\"9113600\"]\n  9 [size=\"24783360\", alpha=\"0.12\", expect_size=\"9913344\"] \n  9 -> 11 [size =\"9913344\"]\n  10 [size=\"86169600\", alpha=\"0.11\", expect_size=\"34467840\"] \n  11 [size=\"63800320\", alpha=\"0.09\", expect_size=\"25520128\"] \n  11 -> 12 [size =\"25520128\"]\n  12 [size=\"69050880\", alpha=\"0.12\", expect_size=\"27620352\"] \n  12 -> 13 [size =\"27620352\"]\n  12 -> 14 [size =\"27620352\"]\n  13 [size=\"51353600\", alpha=\"0.12\", expect_size=\"20541440\"] \n  14 [size=\"71854080\", alpha=\"0.11\", expect_size=\"28741632\"] \n  14 -> 15 [size =\"28741632\"]\n  14 -> 16 [size =\"28741632\"]\n  15 [size=\"52067840\", alpha=\"0.18\", expect_size=\"20827136\"] \n  15 -> 17 [size =\"20827136\"]\n  16 [size=\"86412800\", alpha=\"0.16\", expect_size=\"34565120\"] \n  17 [size=\"20259840\", alpha=\"0.09\", expect_size=\"8103936\"] \n  17 -> 18 [size =\"8103936\"]\n  17 -> 19 [size =\"8103936\"]\n  18 [size=\"55639040\", alpha=\"0.19\", expect_size=\"22255616\"] \n  19 [size=\"97236480\", alpha=\"0.14\", expect_size=\"38894592\"] \n  19 -> 20 [size =\"38894592\"]\n  20 [size=\"50470400\", alpha=\"0.16\", expect_size=\"20188160\"] \n  20 -> 21 [size =\"20188160\"]\n  21 [size=\"115517440\", alpha=\"0.11\", expect_size=\"46206976\"] \n  21 -> 22 [size =\"46206976\"]\n  22 [size=\"48076800\", alpha=\"0.06\", expect_size=\"19230720\"] \n  22 -> 23 [size =\"19230720\"]\n  23 [size=\"119019520\", alpha=\"0.11\", expect_size=\"47607808\"] \n  23 -> 24 [size =\"47607808\"]\n  23 -> 25 [size =\"47607808\"]\n  24 [size=\"69114880\", alpha=\"0.14\", expect_size=\"27645952\"] \n  25 [size=\"18449920\", alpha=\"0.07\", expect_size=\"7379968\"] \n  25 -> 26 [size =\"7379968\"]\n  26 [size=\"122672640\", alpha=\"0.10\", expect_size=\"49069056\"] \n  26 -> 27 [size =\"49069056\"]\n  26 -> 28 [size =\"49069056\"]\n  27 [size=\"99942400\", alpha=\"0.09\", expect_size=\"39976960\"] \n  28 [size=\"32227840\", alpha=\"0.10\", expect_size=\"12891136\"] \n  28 -> 29 [size =\"12891136\"]\n  28 -> 30 [size =\"12891136\"]\n  29 [size=\"23436800\", alpha=\"0.13\", expect_size=\"9374720\"] \n  30 [size=\"104327680\", alpha=\"0.08\", expect_size=\"41731072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88504320\", alpha=\"0.06\", expect_size=\"44252160\"] \n  1 -> 4 [size =\"44252160\"]\n  1 -> 7 [size =\"44252160\"]\n  2 [size=\"91344896\", alpha=\"0.13\", expect_size=\"45672448\"] \n  2 -> 4 [size =\"45672448\"]\n  2 -> 6 [size =\"45672448\"]\n  2 -> 10 [size =\"45672448\"]\n  3 [size=\"26970112\", alpha=\"0.10\", expect_size=\"13485056\"] \n  3 -> 5 [size =\"13485056\"]\n  3 -> 8 [size =\"13485056\"]\n  3 -> 9 [size =\"13485056\"]\n  4 [size=\"73666560\", alpha=\"0.01\", expect_size=\"36833280\"] \n  4 -> 11 [size =\"36833280\"]\n  4 -> 13 [size =\"36833280\"]\n  5 [size=\"79822848\", alpha=\"0.09\", expect_size=\"39911424\"] \n  5 -> 11 [size =\"39911424\"]\n  5 -> 12 [size =\"39911424\"]\n  6 [size=\"79448064\", alpha=\"0.15\", expect_size=\"39724032\"] \n  6 -> 11 [size =\"39724032\"]\n  6 -> 12 [size =\"39724032\"]\n  6 -> 13 [size =\"39724032\"]\n  7 [size=\"96581632\", alpha=\"0.05\", expect_size=\"48290816\"] \n  7 -> 11 [size =\"48290816\"]\n  7 -> 12 [size =\"48290816\"]\n  7 -> 13 [size =\"48290816\"]\n  8 [size=\"94081024\", alpha=\"0.06\", expect_size=\"47040512\"] \n  9 [size=\"68339712\", alpha=\"0.05\", expect_size=\"34169856\"] \n  10 [size=\"86358016\", alpha=\"0.02\", expect_size=\"43179008\"] \n  11 [size=\"38330368\", alpha=\"0.16\", expect_size=\"19165184\"] \n  11 -> 14 [size =\"19165184\"]\n  11 -> 18 [size =\"19165184\"]\n  11 -> 20 [size =\"19165184\"]\n  12 [size=\"67844096\", alpha=\"0.04\", expect_size=\"33922048\"] \n  12 -> 14 [size =\"33922048\"]\n  12 -> 15 [size =\"33922048\"]\n  12 -> 16 [size =\"33922048\"]\n  12 -> 17 [size =\"33922048\"]\n  12 -> 19 [size =\"33922048\"]\n  13 [size=\"34004992\", alpha=\"0.17\", expect_size=\"17002496\"] \n  13 -> 15 [size =\"17002496\"]\n  13 -> 19 [size =\"17002496\"]\n  14 [size=\"80435200\", alpha=\"0.09\", expect_size=\"40217600\"] \n  14 -> 21 [size =\"40217600\"]\n  14 -> 22 [size =\"40217600\"]\n  14 -> 25 [size =\"40217600\"]\n  14 -> 26 [size =\"40217600\"]\n  15 [size=\"84148224\", alpha=\"0.14\", expect_size=\"42074112\"] \n  15 -> 21 [size =\"42074112\"]\n  15 -> 24 [size =\"42074112\"]\n  15 -> 25 [size =\"42074112\"]\n  16 [size=\"31662080\", alpha=\"0.20\", expect_size=\"15831040\"] \n  16 -> 23 [size =\"15831040\"]\n  17 [size=\"104656896\", alpha=\"0.12\", expect_size=\"52328448\"] \n  17 -> 21 [size =\"52328448\"]\n  17 -> 22 [size =\"52328448\"]\n  18 [size=\"34240512\", alpha=\"0.15\", expect_size=\"17120256\"] \n  18 -> 23 [size =\"17120256\"]\n  18 -> 24 [size =\"17120256\"]\n  18 -> 26 [size =\"17120256\"]\n  19 [size=\"60940288\", alpha=\"0.02\", expect_size=\"30470144\"] \n  19 -> 24 [size =\"30470144\"]\n  20 [size=\"85862400\", alpha=\"0.09\", expect_size=\"42931200\"] \n  20 -> 22 [size =\"42931200\"]\n  21 [size=\"94054400\", alpha=\"0.12\", expect_size=\"47027200\"] \n  21 -> 30 [size =\"47027200\"]\n  22 [size=\"77056000\", alpha=\"0.12\", expect_size=\"38528000\"] \n  23 [size=\"95301632\", alpha=\"0.16\", expect_size=\"47650816\"] \n  23 -> 27 [size =\"47650816\"]\n  23 -> 30 [size =\"47650816\"]\n  24 [size=\"80406528\", alpha=\"0.13\", expect_size=\"40203264\"] \n  24 -> 28 [size =\"40203264\"]\n  24 -> 30 [size =\"40203264\"]\n  25 [size=\"28246016\", alpha=\"0.04\", expect_size=\"14123008\"] \n  25 -> 29 [size =\"14123008\"]\n  26 [size=\"95047680\", alpha=\"0.11\", expect_size=\"47523840\"] \n  27 [size=\"92887040\", alpha=\"0.15\", expect_size=\"46443520\"] \n  28 [size=\"54448128\", alpha=\"0.18\", expect_size=\"27224064\"] \n  29 [size=\"29321216\", alpha=\"0.12\", expect_size=\"14660608\"] \n  30 [size=\"39256064\", alpha=\"0.03\", expect_size=\"19628032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12271616\", alpha=\"0.00\", expect_size=\"6135808\"] \n  1 -> 2 [size =\"6135808\"]\n  2 [size=\"75991040\", alpha=\"0.03\", expect_size=\"37995520\"] \n  2 -> 3 [size =\"37995520\"]\n  2 -> 4 [size =\"37995520\"]\n  3 [size=\"29044736\", alpha=\"0.18\", expect_size=\"14522368\"] \n  3 -> 5 [size =\"14522368\"]\n  4 [size=\"96241664\", alpha=\"0.19\", expect_size=\"48120832\"] \n  5 [size=\"38887424\", alpha=\"0.04\", expect_size=\"19443712\"] \n  5 -> 6 [size =\"19443712\"]\n  6 [size=\"84809728\", alpha=\"0.18\", expect_size=\"42404864\"] \n  6 -> 7 [size =\"42404864\"]\n  6 -> 8 [size =\"42404864\"]\n  7 [size=\"18944000\", alpha=\"0.10\", expect_size=\"9472000\"] \n  7 -> 9 [size =\"9472000\"]\n  7 -> 10 [size =\"9472000\"]\n  8 [size=\"49866752\", alpha=\"0.07\", expect_size=\"24933376\"] \n  9 [size=\"75474944\", alpha=\"0.16\", expect_size=\"37737472\"] \n  10 [size=\"96694272\", alpha=\"0.12\", expect_size=\"48347136\"] \n  10 -> 11 [size =\"48347136\"]\n  11 [size=\"62300160\", alpha=\"0.03\", expect_size=\"31150080\"] \n  11 -> 12 [size =\"31150080\"]\n  12 [size=\"64339968\", alpha=\"0.17\", expect_size=\"32169984\"] \n  12 -> 13 [size =\"32169984\"]\n  12 -> 14 [size =\"32169984\"]\n  13 [size=\"76920832\", alpha=\"0.07\", expect_size=\"38460416\"] \n  14 [size=\"69142528\", alpha=\"0.11\", expect_size=\"34571264\"] \n  14 -> 15 [size =\"34571264\"]\n  15 [size=\"64724992\", alpha=\"0.05\", expect_size=\"32362496\"] \n  15 -> 16 [size =\"32362496\"]\n  15 -> 17 [size =\"32362496\"]\n  16 [size=\"84123648\", alpha=\"0.14\", expect_size=\"42061824\"] \n  16 -> 18 [size =\"42061824\"]\n  16 -> 19 [size =\"42061824\"]\n  17 [size=\"73404416\", alpha=\"0.08\", expect_size=\"36702208\"] \n  18 [size=\"24033280\", alpha=\"0.01\", expect_size=\"12016640\"] \n  19 [size=\"55646208\", alpha=\"0.09\", expect_size=\"27823104\"] \n  19 -> 20 [size =\"27823104\"]\n  20 [size=\"35555328\", alpha=\"0.09\", expect_size=\"17777664\"] \n  20 -> 21 [size =\"17777664\"]\n  20 -> 22 [size =\"17777664\"]\n  21 [size=\"90953728\", alpha=\"0.09\", expect_size=\"45476864\"] \n  22 [size=\"11675648\", alpha=\"0.02\", expect_size=\"5837824\"] \n  22 -> 23 [size =\"5837824\"]\n  23 [size=\"93837312\", alpha=\"0.20\", expect_size=\"46918656\"] \n  23 -> 24 [size =\"46918656\"]\n  24 [size=\"32675840\", alpha=\"0.16\", expect_size=\"16337920\"] \n  24 -> 25 [size =\"16337920\"]\n  24 -> 26 [size =\"16337920\"]\n  25 [size=\"83818496\", alpha=\"0.18\", expect_size=\"41909248\"] \n  25 -> 28 [size =\"41909248\"]\n  26 [size=\"13768704\", alpha=\"0.15\", expect_size=\"6884352\"] \n  26 -> 27 [size =\"6884352\"]\n  27 [size=\"78176256\", alpha=\"0.15\", expect_size=\"39088128\"] \n  28 [size=\"19230720\", alpha=\"0.02\", expect_size=\"9615360\"] \n  28 -> 29 [size =\"9615360\"]\n  28 -> 30 [size =\"9615360\"]\n  29 [size=\"22097920\", alpha=\"0.04\", expect_size=\"11048960\"] \n  30 [size=\"66119680\", alpha=\"0.04\", expect_size=\"33059840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19179520\", alpha=\"0.14\", expect_size=\"9589760\"] \n  1 -> 2 [size =\"9589760\"]\n  1 -> 3 [size =\"9589760\"]\n  2 [size=\"12361728\", alpha=\"0.02\", expect_size=\"6180864\"] \n  2 -> 4 [size =\"6180864\"]\n  3 [size=\"74485760\", alpha=\"0.17\", expect_size=\"37242880\"] \n  3 -> 4 [size =\"37242880\"]\n  4 [size=\"49754112\", alpha=\"0.06\", expect_size=\"24877056\"] \n  4 -> 5 [size =\"24877056\"]\n  4 -> 6 [size =\"24877056\"]\n  5 [size=\"31643648\", alpha=\"0.17\", expect_size=\"15821824\"] \n  5 -> 7 [size =\"15821824\"]\n  5 -> 8 [size =\"15821824\"]\n  6 [size=\"96917504\", alpha=\"0.18\", expect_size=\"48458752\"] \n  6 -> 7 [size =\"48458752\"]\n  6 -> 8 [size =\"48458752\"]\n  7 [size=\"80316416\", alpha=\"0.09\", expect_size=\"40158208\"] \n  8 [size=\"70262784\", alpha=\"0.19\", expect_size=\"35131392\"] \n  8 -> 9 [size =\"35131392\"]\n  9 [size=\"94197760\", alpha=\"0.10\", expect_size=\"47098880\"] \n  9 -> 10 [size =\"47098880\"]\n  10 [size=\"91340800\", alpha=\"0.03\", expect_size=\"45670400\"] \n  10 -> 11 [size =\"45670400\"]\n  10 -> 12 [size =\"45670400\"]\n  11 [size=\"52262912\", alpha=\"0.20\", expect_size=\"26131456\"] \n  12 [size=\"21760000\", alpha=\"0.17\", expect_size=\"10880000\"] \n  12 -> 13 [size =\"10880000\"]\n  13 [size=\"28979200\", alpha=\"0.13\", expect_size=\"14489600\"] \n  13 -> 14 [size =\"14489600\"]\n  13 -> 15 [size =\"14489600\"]\n  14 [size=\"12824576\", alpha=\"0.10\", expect_size=\"6412288\"] \n  14 -> 16 [size =\"6412288\"]\n  14 -> 17 [size =\"6412288\"]\n  15 [size=\"38926336\", alpha=\"0.13\", expect_size=\"19463168\"] \n  15 -> 16 [size =\"19463168\"]\n  15 -> 17 [size =\"19463168\"]\n  16 [size=\"26845184\", alpha=\"0.04\", expect_size=\"13422592\"] \n  16 -> 18 [size =\"13422592\"]\n  17 [size=\"19443712\", alpha=\"0.05\", expect_size=\"9721856\"] \n  17 -> 18 [size =\"9721856\"]\n  18 [size=\"61798400\", alpha=\"0.14\", expect_size=\"30899200\"] \n  18 -> 19 [size =\"30899200\"]\n  19 [size=\"54953984\", alpha=\"0.03\", expect_size=\"27476992\"] \n  19 -> 20 [size =\"27476992\"]\n  20 [size=\"103841792\", alpha=\"0.14\", expect_size=\"51920896\"] \n  20 -> 21 [size =\"51920896\"]\n  20 -> 22 [size =\"51920896\"]\n  21 [size=\"22827008\", alpha=\"0.06\", expect_size=\"11413504\"] \n  21 -> 23 [size =\"11413504\"]\n  21 -> 24 [size =\"11413504\"]\n  22 [size=\"21295104\", alpha=\"0.19\", expect_size=\"10647552\"] \n  22 -> 23 [size =\"10647552\"]\n  22 -> 24 [size =\"10647552\"]\n  23 [size=\"102369280\", alpha=\"0.05\", expect_size=\"51184640\"] \n  23 -> 25 [size =\"51184640\"]\n  23 -> 26 [size =\"51184640\"]\n  24 [size=\"68458496\", alpha=\"0.20\", expect_size=\"34229248\"] \n  24 -> 26 [size =\"34229248\"]\n  25 [size=\"20484096\", alpha=\"0.19\", expect_size=\"10242048\"] \n  25 -> 27 [size =\"10242048\"]\n  26 [size=\"80893952\", alpha=\"0.16\", expect_size=\"40446976\"] \n  26 -> 27 [size =\"40446976\"]\n  27 [size=\"101926912\", alpha=\"0.08\", expect_size=\"50963456\"] \n  27 -> 28 [size =\"50963456\"]\n  27 -> 29 [size =\"50963456\"]\n  28 [size=\"29372416\", alpha=\"0.13\", expect_size=\"14686208\"] \n  28 -> 30 [size =\"14686208\"]\n  29 [size=\"96086016\", alpha=\"0.16\", expect_size=\"48043008\"] \n  29 -> 30 [size =\"48043008\"]\n  30 [size=\"16855040\", alpha=\"0.16\", expect_size=\"8427520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35946496\", alpha=\"0.01\", expect_size=\"17973248\"] \n  1 -> 6 [size =\"17973248\"]\n  1 -> 10 [size =\"17973248\"]\n  2 [size=\"76001280\", alpha=\"0.16\", expect_size=\"38000640\"] \n  2 -> 6 [size =\"38000640\"]\n  3 [size=\"36749312\", alpha=\"0.19\", expect_size=\"18374656\"] \n  3 -> 9 [size =\"18374656\"]\n  3 -> 10 [size =\"18374656\"]\n  4 [size=\"58238976\", alpha=\"0.02\", expect_size=\"29119488\"] \n  4 -> 6 [size =\"29119488\"]\n  4 -> 8 [size =\"29119488\"]\n  4 -> 10 [size =\"29119488\"]\n  5 [size=\"58167296\", alpha=\"0.05\", expect_size=\"29083648\"] \n  5 -> 7 [size =\"29083648\"]\n  5 -> 8 [size =\"29083648\"]\n  6 [size=\"99653632\", alpha=\"0.15\", expect_size=\"49826816\"] \n  6 -> 11 [size =\"49826816\"]\n  6 -> 12 [size =\"49826816\"]\n  6 -> 13 [size =\"49826816\"]\n  6 -> 16 [size =\"49826816\"]\n  6 -> 17 [size =\"49826816\"]\n  7 [size=\"88555520\", alpha=\"0.12\", expect_size=\"44277760\"] \n  7 -> 11 [size =\"44277760\"]\n  7 -> 14 [size =\"44277760\"]\n  7 -> 15 [size =\"44277760\"]\n  7 -> 17 [size =\"44277760\"]\n  8 [size=\"73109504\", alpha=\"0.11\", expect_size=\"36554752\"] \n  8 -> 12 [size =\"36554752\"]\n  8 -> 13 [size =\"36554752\"]\n  8 -> 15 [size =\"36554752\"]\n  9 [size=\"64456704\", alpha=\"0.03\", expect_size=\"32228352\"] \n  9 -> 15 [size =\"32228352\"]\n  10 [size=\"55040000\", alpha=\"0.05\", expect_size=\"27520000\"] \n  10 -> 12 [size =\"27520000\"]\n  11 [size=\"43036672\", alpha=\"0.03\", expect_size=\"21518336\"] \n  11 -> 21 [size =\"21518336\"]\n  12 [size=\"46145536\", alpha=\"0.11\", expect_size=\"23072768\"] \n  13 [size=\"26044416\", alpha=\"0.18\", expect_size=\"13022208\"] \n  13 -> 19 [size =\"13022208\"]\n  13 -> 22 [size =\"13022208\"]\n  14 [size=\"21901312\", alpha=\"0.15\", expect_size=\"10950656\"] \n  14 -> 18 [size =\"10950656\"]\n  14 -> 20 [size =\"10950656\"]\n  14 -> 21 [size =\"10950656\"]\n  14 -> 22 [size =\"10950656\"]\n  14 -> 23 [size =\"10950656\"]\n  15 [size=\"30754816\", alpha=\"0.03\", expect_size=\"15377408\"] \n  15 -> 19 [size =\"15377408\"]\n  15 -> 20 [size =\"15377408\"]\n  15 -> 22 [size =\"15377408\"]\n  16 [size=\"52492288\", alpha=\"0.04\", expect_size=\"26246144\"] \n  16 -> 18 [size =\"26246144\"]\n  17 [size=\"29339648\", alpha=\"0.05\", expect_size=\"14669824\"] \n  17 -> 19 [size =\"14669824\"]\n  18 [size=\"84944896\", alpha=\"0.15\", expect_size=\"42472448\"] \n  18 -> 24 [size =\"42472448\"]\n  18 -> 25 [size =\"42472448\"]\n  19 [size=\"40980480\", alpha=\"0.19\", expect_size=\"20490240\"] \n  20 [size=\"56743936\", alpha=\"0.17\", expect_size=\"28371968\"] \n  20 -> 24 [size =\"28371968\"]\n  20 -> 25 [size =\"28371968\"]\n  21 [size=\"78010368\", alpha=\"0.00\", expect_size=\"39005184\"] \n  21 -> 24 [size =\"39005184\"]\n  21 -> 25 [size =\"39005184\"]\n  22 [size=\"91019264\", alpha=\"0.18\", expect_size=\"45509632\"] \n  23 [size=\"48402432\", alpha=\"0.01\", expect_size=\"24201216\"] \n  23 -> 25 [size =\"24201216\"]\n  24 [size=\"39297024\", alpha=\"0.14\", expect_size=\"19648512\"] \n  24 -> 26 [size =\"19648512\"]\n  24 -> 27 [size =\"19648512\"]\n  24 -> 29 [size =\"19648512\"]\n  24 -> 30 [size =\"19648512\"]\n  25 [size=\"14204928\", alpha=\"0.17\", expect_size=\"7102464\"] \n  25 -> 28 [size =\"7102464\"]\n  26 [size=\"27512832\", alpha=\"0.19\", expect_size=\"13756416\"] \n  27 [size=\"48300032\", alpha=\"0.18\", expect_size=\"24150016\"] \n  28 [size=\"72042496\", alpha=\"0.10\", expect_size=\"36021248\"] \n  29 [size=\"49481728\", alpha=\"0.13\", expect_size=\"24740864\"] \n  30 [size=\"43225088\", alpha=\"0.06\", expect_size=\"21612544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11155456\", alpha=\"0.19\", expect_size=\"5577728\"] \n  1 -> 21 [size =\"5577728\"]\n  1 -> 24 [size =\"5577728\"]\n  1 -> 27 [size =\"5577728\"]\n  1 -> 30 [size =\"5577728\"]\n  2 [size=\"87517184\", alpha=\"0.00\", expect_size=\"43758592\"] \n  2 -> 21 [size =\"43758592\"]\n  2 -> 24 [size =\"43758592\"]\n  2 -> 25 [size =\"43758592\"]\n  2 -> 27 [size =\"43758592\"]\n  3 [size=\"71446528\", alpha=\"0.19\", expect_size=\"35723264\"] \n  3 -> 22 [size =\"35723264\"]\n  3 -> 26 [size =\"35723264\"]\n  3 -> 28 [size =\"35723264\"]\n  3 -> 29 [size =\"35723264\"]\n  3 -> 30 [size =\"35723264\"]\n  4 [size=\"68343808\", alpha=\"0.09\", expect_size=\"34171904\"] \n  4 -> 22 [size =\"34171904\"]\n  4 -> 23 [size =\"34171904\"]\n  4 -> 24 [size =\"34171904\"]\n  4 -> 26 [size =\"34171904\"]\n  4 -> 30 [size =\"34171904\"]\n  5 [size=\"99377152\", alpha=\"0.04\", expect_size=\"49688576\"] \n  5 -> 22 [size =\"49688576\"]\n  5 -> 26 [size =\"49688576\"]\n  5 -> 27 [size =\"49688576\"]\n  5 -> 30 [size =\"49688576\"]\n  6 [size=\"69496832\", alpha=\"0.05\", expect_size=\"34748416\"] \n  6 -> 21 [size =\"34748416\"]\n  6 -> 22 [size =\"34748416\"]\n  6 -> 23 [size =\"34748416\"]\n  6 -> 26 [size =\"34748416\"]\n  6 -> 27 [size =\"34748416\"]\n  7 [size=\"93384704\", alpha=\"0.10\", expect_size=\"46692352\"] \n  7 -> 21 [size =\"46692352\"]\n  7 -> 24 [size =\"46692352\"]\n  8 [size=\"57743360\", alpha=\"0.10\", expect_size=\"28871680\"] \n  8 -> 21 [size =\"28871680\"]\n  8 -> 24 [size =\"28871680\"]\n  8 -> 27 [size =\"28871680\"]\n  8 -> 30 [size =\"28871680\"]\n  9 [size=\"58914816\", alpha=\"0.04\", expect_size=\"29457408\"] \n  9 -> 21 [size =\"29457408\"]\n  9 -> 22 [size =\"29457408\"]\n  9 -> 23 [size =\"29457408\"]\n  9 -> 24 [size =\"29457408\"]\n  9 -> 25 [size =\"29457408\"]\n  10 [size=\"73422848\", alpha=\"0.12\", expect_size=\"36711424\"] \n  10 -> 23 [size =\"36711424\"]\n  10 -> 24 [size =\"36711424\"]\n  10 -> 30 [size =\"36711424\"]\n  11 [size=\"22454272\", alpha=\"0.09\", expect_size=\"11227136\"] \n  11 -> 22 [size =\"11227136\"]\n  11 -> 23 [size =\"11227136\"]\n  11 -> 26 [size =\"11227136\"]\n  12 [size=\"15603712\", alpha=\"0.09\", expect_size=\"7801856\"] \n  12 -> 23 [size =\"7801856\"]\n  12 -> 26 [size =\"7801856\"]\n  12 -> 27 [size =\"7801856\"]\n  13 [size=\"15970304\", alpha=\"0.06\", expect_size=\"7985152\"] \n  13 -> 21 [size =\"7985152\"]\n  13 -> 25 [size =\"7985152\"]\n  13 -> 26 [size =\"7985152\"]\n  13 -> 28 [size =\"7985152\"]\n  13 -> 29 [size =\"7985152\"]\n  13 -> 30 [size =\"7985152\"]\n  14 [size=\"103849984\", alpha=\"0.18\", expect_size=\"51924992\"] \n  14 -> 26 [size =\"51924992\"]\n  15 [size=\"52963328\", alpha=\"0.07\", expect_size=\"26481664\"] \n  15 -> 26 [size =\"26481664\"]\n  16 [size=\"71514112\", alpha=\"0.15\", expect_size=\"35757056\"] \n  17 [size=\"93605888\", alpha=\"0.16\", expect_size=\"46802944\"] \n  17 -> 21 [size =\"46802944\"]\n  17 -> 23 [size =\"46802944\"]\n  17 -> 25 [size =\"46802944\"]\n  17 -> 26 [size =\"46802944\"]\n  18 [size=\"45416448\", alpha=\"0.02\", expect_size=\"22708224\"] \n  18 -> 21 [size =\"22708224\"]\n  18 -> 28 [size =\"22708224\"]\n  19 [size=\"92188672\", alpha=\"0.13\", expect_size=\"46094336\"] \n  19 -> 23 [size =\"46094336\"]\n  19 -> 26 [size =\"46094336\"]\n  19 -> 27 [size =\"46094336\"]\n  19 -> 30 [size =\"46094336\"]\n  20 [size=\"16832512\", alpha=\"0.19\", expect_size=\"8416256\"] \n  20 -> 23 [size =\"8416256\"]\n  20 -> 27 [size =\"8416256\"]\n  21 [size=\"71888896\", alpha=\"0.06\", expect_size=\"35944448\"] \n  22 [size=\"20918272\", alpha=\"0.08\", expect_size=\"10459136\"] \n  23 [size=\"63791104\", alpha=\"0.04\", expect_size=\"31895552\"] \n  24 [size=\"94081024\", alpha=\"0.12\", expect_size=\"47040512\"] \n  25 [size=\"85170176\", alpha=\"0.19\", expect_size=\"42585088\"] \n  26 [size=\"22441984\", alpha=\"0.18\", expect_size=\"11220992\"] \n  27 [size=\"91557888\", alpha=\"0.15\", expect_size=\"45778944\"] \n  28 [size=\"71936000\", alpha=\"0.02\", expect_size=\"35968000\"] \n  29 [size=\"80064512\", alpha=\"0.19\", expect_size=\"40032256\"] \n  30 [size=\"46999552\", alpha=\"0.09\", expect_size=\"23499776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35604480\", alpha=\"0.16\", expect_size=\"10681344\"] \n  1 -> 17 [size =\"10681344\"]\n  1 -> 19 [size =\"10681344\"]\n  1 -> 24 [size =\"10681344\"]\n  1 -> 27 [size =\"10681344\"]\n  1 -> 28 [size =\"10681344\"]\n  2 [size=\"58624000\", alpha=\"0.02\", expect_size=\"17587200\"] \n  2 -> 16 [size =\"17587200\"]\n  2 -> 19 [size =\"17587200\"]\n  2 -> 22 [size =\"17587200\"]\n  2 -> 25 [size =\"17587200\"]\n  3 [size=\"137287680\", alpha=\"0.19\", expect_size=\"41186304\"] \n  3 -> 18 [size =\"41186304\"]\n  3 -> 22 [size =\"41186304\"]\n  3 -> 24 [size =\"41186304\"]\n  3 -> 27 [size =\"41186304\"]\n  3 -> 28 [size =\"41186304\"]\n  3 -> 30 [size =\"41186304\"]\n  4 [size=\"87156053\", alpha=\"0.01\", expect_size=\"26146816\"] \n  4 -> 19 [size =\"26146816\"]\n  4 -> 22 [size =\"26146816\"]\n  4 -> 26 [size =\"26146816\"]\n  5 [size=\"85568853\", alpha=\"0.01\", expect_size=\"25670656\"] \n  5 -> 18 [size =\"25670656\"]\n  5 -> 22 [size =\"25670656\"]\n  5 -> 23 [size =\"25670656\"]\n  5 -> 24 [size =\"25670656\"]\n  5 -> 25 [size =\"25670656\"]\n  5 -> 27 [size =\"25670656\"]\n  5 -> 28 [size =\"25670656\"]\n  6 [size=\"121856000\", alpha=\"0.11\", expect_size=\"36556800\"] \n  6 -> 19 [size =\"36556800\"]\n  6 -> 22 [size =\"36556800\"]\n  6 -> 25 [size =\"36556800\"]\n  6 -> 28 [size =\"36556800\"]\n  6 -> 29 [size =\"36556800\"]\n  7 [size=\"23040000\", alpha=\"0.18\", expect_size=\"6912000\"] \n  7 -> 17 [size =\"6912000\"]\n  7 -> 19 [size =\"6912000\"]\n  7 -> 22 [size =\"6912000\"]\n  7 -> 23 [size =\"6912000\"]\n  7 -> 24 [size =\"6912000\"]\n  7 -> 28 [size =\"6912000\"]\n  7 -> 29 [size =\"6912000\"]\n  8 [size=\"136714240\", alpha=\"0.19\", expect_size=\"41014272\"] \n  8 -> 17 [size =\"41014272\"]\n  8 -> 19 [size =\"41014272\"]\n  8 -> 20 [size =\"41014272\"]\n  8 -> 28 [size =\"41014272\"]\n  8 -> 29 [size =\"41014272\"]\n  9 [size=\"167092907\", alpha=\"0.18\", expect_size=\"50127872\"] \n  9 -> 17 [size =\"50127872\"]\n  9 -> 19 [size =\"50127872\"]\n  9 -> 25 [size =\"50127872\"]\n  9 -> 26 [size =\"50127872\"]\n  9 -> 29 [size =\"50127872\"]\n  10 [size=\"146008747\", alpha=\"0.00\", expect_size=\"43802624\"] \n  10 -> 21 [size =\"43802624\"]\n  10 -> 24 [size =\"43802624\"]\n  10 -> 26 [size =\"43802624\"]\n  10 -> 29 [size =\"43802624\"]\n  11 [size=\"34464427\", alpha=\"0.10\", expect_size=\"10339328\"] \n  11 -> 22 [size =\"10339328\"]\n  11 -> 25 [size =\"10339328\"]\n  11 -> 26 [size =\"10339328\"]\n  11 -> 28 [size =\"10339328\"]\n  11 -> 29 [size =\"10339328\"]\n  12 [size=\"160447147\", alpha=\"0.05\", expect_size=\"48134144\"] \n  12 -> 16 [size =\"48134144\"]\n  12 -> 19 [size =\"48134144\"]\n  12 -> 20 [size =\"48134144\"]\n  12 -> 24 [size =\"48134144\"]\n  12 -> 25 [size =\"48134144\"]\n  12 -> 27 [size =\"48134144\"]\n  12 -> 28 [size =\"48134144\"]\n  13 [size=\"18937173\", alpha=\"0.06\", expect_size=\"5681152\"] \n  13 -> 19 [size =\"5681152\"]\n  13 -> 22 [size =\"5681152\"]\n  13 -> 24 [size =\"5681152\"]\n  13 -> 25 [size =\"5681152\"]\n  13 -> 27 [size =\"5681152\"]\n  13 -> 27 [size =\"5681152\"]\n  13 -> 30 [size =\"5681152\"]\n  14 [size=\"169536853\", alpha=\"0.03\", expect_size=\"50861056\"] \n  14 -> 19 [size =\"50861056\"]\n  14 -> 27 [size =\"50861056\"]\n  15 [size=\"23688533\", alpha=\"0.00\", expect_size=\"7106560\"] \n  15 -> 19 [size =\"7106560\"]\n  15 -> 25 [size =\"7106560\"]\n  15 -> 27 [size =\"7106560\"]\n  15 -> 30 [size =\"7106560\"]\n  16 [size=\"34590720\", alpha=\"0.06\", expect_size=\"10377216\"] \n  17 [size=\"124016640\", alpha=\"0.10\", expect_size=\"37204992\"] \n  18 [size=\"109414400\", alpha=\"0.05\", expect_size=\"32824320\"] \n  19 [size=\"104362667\", alpha=\"0.14\", expect_size=\"31308800\"] \n  20 [size=\"88920747\", alpha=\"0.15\", expect_size=\"26676224\"] \n  21 [size=\"89262080\", alpha=\"0.19\", expect_size=\"26778624\"] \n  22 [size=\"171168427\", alpha=\"0.07\", expect_size=\"51350528\"] \n  23 [size=\"51514027\", alpha=\"0.11\", expect_size=\"15454208\"] \n  24 [size=\"95180800\", alpha=\"0.04\", expect_size=\"28554240\"] \n  25 [size=\"121545387\", alpha=\"0.05\", expect_size=\"36463616\"] \n  26 [size=\"124678827\", alpha=\"0.00\", expect_size=\"37403648\"] \n  27 [size=\"173038933\", alpha=\"0.16\", expect_size=\"51911680\"] \n  28 [size=\"91361280\", alpha=\"0.06\", expect_size=\"27408384\"] \n  29 [size=\"129160533\", alpha=\"0.16\", expect_size=\"38748160\"] \n  30 [size=\"82435413\", alpha=\"0.02\", expect_size=\"24730624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52022613\", alpha=\"0.13\", expect_size=\"15606784\"] \n  1 -> 30 [size =\"15606784\"]\n  2 [size=\"127877120\", alpha=\"0.04\", expect_size=\"38363136\"] \n  3 [size=\"75799893\", alpha=\"0.09\", expect_size=\"22739968\"] \n  3 -> 30 [size =\"22739968\"]\n  4 [size=\"59037013\", alpha=\"0.13\", expect_size=\"17711104\"] \n  4 -> 28 [size =\"17711104\"]\n  4 -> 30 [size =\"17711104\"]\n  5 [size=\"82394453\", alpha=\"0.09\", expect_size=\"24718336\"] \n  5 -> 26 [size =\"24718336\"]\n  5 -> 29 [size =\"24718336\"]\n  6 [size=\"125661867\", alpha=\"0.18\", expect_size=\"37698560\"] \n  6 -> 27 [size =\"37698560\"]\n  6 -> 28 [size =\"37698560\"]\n  6 -> 30 [size =\"37698560\"]\n  7 [size=\"44943360\", alpha=\"0.06\", expect_size=\"13483008\"] \n  7 -> 27 [size =\"13483008\"]\n  7 -> 28 [size =\"13483008\"]\n  8 [size=\"95112533\", alpha=\"0.09\", expect_size=\"28533760\"] \n  8 -> 29 [size =\"28533760\"]\n  8 -> 30 [size =\"28533760\"]\n  9 [size=\"74506240\", alpha=\"0.12\", expect_size=\"22351872\"] \n  9 -> 30 [size =\"22351872\"]\n  10 [size=\"164549973\", alpha=\"0.08\", expect_size=\"49364992\"] \n  10 -> 27 [size =\"49364992\"]\n  10 -> 30 [size =\"49364992\"]\n  11 [size=\"104028160\", alpha=\"0.11\", expect_size=\"31208448\"] \n  11 -> 30 [size =\"31208448\"]\n  12 [size=\"51677867\", alpha=\"0.00\", expect_size=\"15503360\"] \n  12 -> 28 [size =\"15503360\"]\n  12 -> 30 [size =\"15503360\"]\n  13 [size=\"81315840\", alpha=\"0.14\", expect_size=\"24394752\"] \n  13 -> 30 [size =\"24394752\"]\n  14 [size=\"155948373\", alpha=\"0.08\", expect_size=\"46784512\"] \n  15 [size=\"104744960\", alpha=\"0.04\", expect_size=\"31423488\"] \n  16 [size=\"172526933\", alpha=\"0.17\", expect_size=\"51758080\"] \n  16 -> 29 [size =\"51758080\"]\n  17 [size=\"155392000\", alpha=\"0.03\", expect_size=\"46617600\"] \n  17 -> 30 [size =\"46617600\"]\n  18 [size=\"47206400\", alpha=\"0.07\", expect_size=\"14161920\"] \n  18 -> 30 [size =\"14161920\"]\n  19 [size=\"114309120\", alpha=\"0.15\", expect_size=\"34292736\"] \n  19 -> 28 [size =\"34292736\"]\n  19 -> 30 [size =\"34292736\"]\n  20 [size=\"49506987\", alpha=\"0.00\", expect_size=\"14852096\"] \n  20 -> 28 [size =\"14852096\"]\n  21 [size=\"113411413\", alpha=\"0.11\", expect_size=\"34023424\"] \n  21 -> 28 [size =\"34023424\"]\n  21 -> 29 [size =\"34023424\"]\n  22 [size=\"45233493\", alpha=\"0.15\", expect_size=\"13570048\"] \n  22 -> 28 [size =\"13570048\"]\n  22 -> 29 [size =\"13570048\"]\n  23 [size=\"46626133\", alpha=\"0.07\", expect_size=\"13987840\"] \n  23 -> 29 [size =\"13987840\"]\n  23 -> 30 [size =\"13987840\"]\n  24 [size=\"159651840\", alpha=\"0.03\", expect_size=\"47895552\"] \n  24 -> 28 [size =\"47895552\"]\n  25 [size=\"67413333\", alpha=\"0.09\", expect_size=\"20224000\"] \n  25 -> 29 [size =\"20224000\"]\n  26 [size=\"96931840\", alpha=\"0.08\", expect_size=\"29079552\"] \n  27 [size=\"75622400\", alpha=\"0.10\", expect_size=\"22686720\"] \n  28 [size=\"99092480\", alpha=\"0.02\", expect_size=\"29727744\"] \n  29 [size=\"157457067\", alpha=\"0.02\", expect_size=\"47237120\"] \n  30 [size=\"114589013\", alpha=\"0.00\", expect_size=\"34376704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50731520\", alpha=\"0.01\", expect_size=\"20292608\"] \n  1 -> 22 [size =\"20292608\"]\n  1 -> 23 [size =\"20292608\"]\n  1 -> 29 [size =\"20292608\"]\n  2 [size=\"88192000\", alpha=\"0.15\", expect_size=\"35276800\"] \n  2 -> 23 [size =\"35276800\"]\n  2 -> 24 [size =\"35276800\"]\n  2 -> 25 [size =\"35276800\"]\n  3 [size=\"68956160\", alpha=\"0.20\", expect_size=\"27582464\"] \n  3 -> 22 [size =\"27582464\"]\n  4 [size=\"81303040\", alpha=\"0.05\", expect_size=\"32521216\"] \n  4 -> 22 [size =\"32521216\"]\n  4 -> 27 [size =\"32521216\"]\n  5 [size=\"58416640\", alpha=\"0.06\", expect_size=\"23366656\"] \n  5 -> 27 [size =\"23366656\"]\n  6 [size=\"95930880\", alpha=\"0.04\", expect_size=\"38372352\"] \n  6 -> 26 [size =\"38372352\"]\n  6 -> 30 [size =\"38372352\"]\n  7 [size=\"107735040\", alpha=\"0.04\", expect_size=\"43094016\"] \n  7 -> 23 [size =\"43094016\"]\n  7 -> 29 [size =\"43094016\"]\n  7 -> 30 [size =\"43094016\"]\n  8 [size=\"38474240\", alpha=\"0.07\", expect_size=\"15389696\"] \n  8 -> 29 [size =\"15389696\"]\n  8 -> 30 [size =\"15389696\"]\n  8 -> 30 [size =\"15389696\"]\n  9 [size=\"102387200\", alpha=\"0.05\", expect_size=\"40954880\"] \n  9 -> 22 [size =\"40954880\"]\n  9 -> 23 [size =\"40954880\"]\n  9 -> 25 [size =\"40954880\"]\n  9 -> 27 [size =\"40954880\"]\n  9 -> 29 [size =\"40954880\"]\n  9 -> 30 [size =\"40954880\"]\n  10 [size=\"75860480\", alpha=\"0.15\", expect_size=\"30344192\"] \n  10 -> 23 [size =\"30344192\"]\n  10 -> 23 [size =\"30344192\"]\n  10 -> 29 [size =\"30344192\"]\n  11 [size=\"68144640\", alpha=\"0.01\", expect_size=\"27257856\"] \n  11 -> 22 [size =\"27257856\"]\n  11 -> 23 [size =\"27257856\"]\n  11 -> 26 [size =\"27257856\"]\n  11 -> 28 [size =\"27257856\"]\n  12 [size=\"71319040\", alpha=\"0.14\", expect_size=\"28527616\"] \n  12 -> 24 [size =\"28527616\"]\n  12 -> 25 [size =\"28527616\"]\n  12 -> 28 [size =\"28527616\"]\n  12 -> 29 [size =\"28527616\"]\n  13 [size=\"43983360\", alpha=\"0.01\", expect_size=\"17593344\"] \n  13 -> 22 [size =\"17593344\"]\n  13 -> 28 [size =\"17593344\"]\n  14 [size=\"41738240\", alpha=\"0.01\", expect_size=\"16695296\"] \n  14 -> 27 [size =\"16695296\"]\n  14 -> 28 [size =\"16695296\"]\n  14 -> 30 [size =\"16695296\"]\n  15 [size=\"72742400\", alpha=\"0.05\", expect_size=\"29096960\"] \n  15 -> 25 [size =\"29096960\"]\n  15 -> 27 [size =\"29096960\"]\n  15 -> 28 [size =\"29096960\"]\n  15 -> 29 [size =\"29096960\"]\n  15 -> 30 [size =\"29096960\"]\n  16 [size=\"105269760\", alpha=\"0.06\", expect_size=\"42107904\"] \n  16 -> 23 [size =\"42107904\"]\n  16 -> 25 [size =\"42107904\"]\n  16 -> 26 [size =\"42107904\"]\n  16 -> 29 [size =\"42107904\"]\n  17 [size=\"127966720\", alpha=\"0.03\", expect_size=\"51186688\"] \n  17 -> 26 [size =\"51186688\"]\n  17 -> 27 [size =\"51186688\"]\n  18 [size=\"32512000\", alpha=\"0.06\", expect_size=\"13004800\"] \n  18 -> 22 [size =\"13004800\"]\n  18 -> 24 [size =\"13004800\"]\n  18 -> 25 [size =\"13004800\"]\n  18 -> 29 [size =\"13004800\"]\n  18 -> 30 [size =\"13004800\"]\n  19 [size=\"74127360\", alpha=\"0.00\", expect_size=\"29650944\"] \n  19 -> 28 [size =\"29650944\"]\n  19 -> 29 [size =\"29650944\"]\n  20 [size=\"101734400\", alpha=\"0.10\", expect_size=\"40693760\"] \n  20 -> 26 [size =\"40693760\"]\n  20 -> 28 [size =\"40693760\"]\n  20 -> 29 [size =\"40693760\"]\n  21 [size=\"73576960\", alpha=\"0.06\", expect_size=\"29430784\"] \n  21 -> 22 [size =\"29430784\"]\n  21 -> 23 [size =\"29430784\"]\n  21 -> 29 [size =\"29430784\"]\n  22 [size=\"79787520\", alpha=\"0.15\", expect_size=\"31915008\"] \n  23 [size=\"45135360\", alpha=\"0.13\", expect_size=\"18054144\"] \n  24 [size=\"53724160\", alpha=\"0.03\", expect_size=\"21489664\"] \n  25 [size=\"60295680\", alpha=\"0.01\", expect_size=\"24118272\"] \n  26 [size=\"87669760\", alpha=\"0.12\", expect_size=\"35067904\"] \n  27 [size=\"120176640\", alpha=\"0.00\", expect_size=\"48070656\"] \n  28 [size=\"19417600\", alpha=\"0.12\", expect_size=\"7767040\"] \n  29 [size=\"54840320\", alpha=\"0.19\", expect_size=\"21936128\"] \n  30 [size=\"56824320\", alpha=\"0.17\", expect_size=\"22729728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165406720\", alpha=\"0.12\", expect_size=\"49622016\"] \n  1 -> 14 [size =\"49622016\"]\n  1 -> 15 [size =\"49622016\"]\n  1 -> 16 [size =\"49622016\"]\n  2 [size=\"156897280\", alpha=\"0.02\", expect_size=\"47069184\"] \n  2 -> 14 [size =\"47069184\"]\n  2 -> 15 [size =\"47069184\"]\n  2 -> 16 [size =\"47069184\"]\n  2 -> 19 [size =\"47069184\"]\n  3 [size=\"25142613\", alpha=\"0.18\", expect_size=\"7542784\"] \n  3 -> 14 [size =\"7542784\"]\n  3 -> 15 [size =\"7542784\"]\n  3 -> 16 [size =\"7542784\"]\n  3 -> 19 [size =\"7542784\"]\n  4 [size=\"64802133\", alpha=\"0.18\", expect_size=\"19440640\"] \n  4 -> 14 [size =\"19440640\"]\n  4 -> 15 [size =\"19440640\"]\n  4 -> 16 [size =\"19440640\"]\n  4 -> 19 [size =\"19440640\"]\n  5 [size=\"114032640\", alpha=\"0.05\", expect_size=\"34209792\"] \n  5 -> 16 [size =\"34209792\"]\n  6 [size=\"88535040\", alpha=\"0.19\", expect_size=\"26560512\"] \n  7 [size=\"18213547\", alpha=\"0.20\", expect_size=\"5464064\"] \n  7 -> 15 [size =\"5464064\"]\n  7 -> 16 [size =\"5464064\"]\n  8 [size=\"118831787\", alpha=\"0.04\", expect_size=\"35649536\"] \n  8 -> 15 [size =\"35649536\"]\n  8 -> 18 [size =\"35649536\"]\n  9 [size=\"118756693\", alpha=\"0.14\", expect_size=\"35627008\"] \n  9 -> 12 [size =\"35627008\"]\n  9 -> 18 [size =\"35627008\"]\n  10 [size=\"137355947\", alpha=\"0.19\", expect_size=\"41206784\"] \n  10 -> 17 [size =\"41206784\"]\n  11 [size=\"126638080\", alpha=\"0.07\", expect_size=\"37991424\"] \n  11 -> 13 [size =\"37991424\"]\n  11 -> 15 [size =\"37991424\"]\n  11 -> 19 [size =\"37991424\"]\n  12 [size=\"61692587\", alpha=\"0.15\", expect_size=\"18507776\"] \n  12 -> 23 [size =\"18507776\"]\n  12 -> 25 [size =\"18507776\"]\n  12 -> 27 [size =\"18507776\"]\n  12 -> 28 [size =\"18507776\"]\n  13 [size=\"76619093\", alpha=\"0.05\", expect_size=\"22985728\"] \n  13 -> 20 [size =\"22985728\"]\n  13 -> 21 [size =\"22985728\"]\n  13 -> 28 [size =\"22985728\"]\n  14 [size=\"63122773\", alpha=\"0.02\", expect_size=\"18936832\"] \n  14 -> 21 [size =\"18936832\"]\n  14 -> 22 [size =\"18936832\"]\n  14 -> 23 [size =\"18936832\"]\n  14 -> 24 [size =\"18936832\"]\n  14 -> 27 [size =\"18936832\"]\n  15 [size=\"44526933\", alpha=\"0.06\", expect_size=\"13358080\"] \n  15 -> 23 [size =\"13358080\"]\n  15 -> 25 [size =\"13358080\"]\n  15 -> 27 [size =\"13358080\"]\n  15 -> 29 [size =\"13358080\"]\n  15 -> 30 [size =\"13358080\"]\n  16 [size=\"83483307\", alpha=\"0.16\", expect_size=\"25044992\"] \n  16 -> 28 [size =\"25044992\"]\n  16 -> 30 [size =\"25044992\"]\n  17 [size=\"78288213\", alpha=\"0.19\", expect_size=\"23486464\"] \n  17 -> 22 [size =\"23486464\"]\n  17 -> 25 [size =\"23486464\"]\n  17 -> 30 [size =\"23486464\"]\n  18 [size=\"75298133\", alpha=\"0.15\", expect_size=\"22589440\"] \n  18 -> 20 [size =\"22589440\"]\n  18 -> 25 [size =\"22589440\"]\n  18 -> 26 [size =\"22589440\"]\n  18 -> 28 [size =\"22589440\"]\n  18 -> 30 [size =\"22589440\"]\n  19 [size=\"107458560\", alpha=\"0.15\", expect_size=\"32237568\"] \n  19 -> 20 [size =\"32237568\"]\n  19 -> 21 [size =\"32237568\"]\n  19 -> 22 [size =\"32237568\"]\n  19 -> 23 [size =\"32237568\"]\n  19 -> 28 [size =\"32237568\"]\n  20 [size=\"59170133\", alpha=\"0.09\", expect_size=\"17751040\"] \n  21 [size=\"52886187\", alpha=\"0.02\", expect_size=\"15865856\"] \n  22 [size=\"109922987\", alpha=\"0.12\", expect_size=\"32976896\"] \n  23 [size=\"67488427\", alpha=\"0.04\", expect_size=\"20246528\"] \n  24 [size=\"105448107\", alpha=\"0.02\", expect_size=\"31634432\"] \n  25 [size=\"124525227\", alpha=\"0.12\", expect_size=\"37357568\"] \n  26 [size=\"168058880\", alpha=\"0.11\", expect_size=\"50417664\"] \n  27 [size=\"138639360\", alpha=\"0.10\", expect_size=\"41591808\"] \n  28 [size=\"128235520\", alpha=\"0.02\", expect_size=\"38470656\"] \n  29 [size=\"92822187\", alpha=\"0.06\", expect_size=\"27846656\"] \n  30 [size=\"50326187\", alpha=\"0.07\", expect_size=\"15097856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45030400\", alpha=\"0.02\", expect_size=\"18012160\"] \n  1 -> 11 [size =\"18012160\"]\n  1 -> 12 [size =\"18012160\"]\n  1 -> 13 [size =\"18012160\"]\n  2 [size=\"126051840\", alpha=\"0.14\", expect_size=\"50420736\"] \n  2 -> 13 [size =\"50420736\"]\n  3 [size=\"16604160\", alpha=\"0.12\", expect_size=\"6641664\"] \n  3 -> 10 [size =\"6641664\"]\n  3 -> 11 [size =\"6641664\"]\n  3 -> 13 [size =\"6641664\"]\n  3 -> 15 [size =\"6641664\"]\n  4 [size=\"129044480\", alpha=\"0.01\", expect_size=\"51617792\"] \n  4 -> 13 [size =\"51617792\"]\n  4 -> 15 [size =\"51617792\"]\n  4 -> 16 [size =\"51617792\"]\n  5 [size=\"15178240\", alpha=\"0.07\", expect_size=\"6071296\"] \n  5 -> 10 [size =\"6071296\"]\n  5 -> 11 [size =\"6071296\"]\n  5 -> 12 [size =\"6071296\"]\n  5 -> 13 [size =\"6071296\"]\n  5 -> 15 [size =\"6071296\"]\n  6 [size=\"55357440\", alpha=\"0.02\", expect_size=\"22142976\"] \n  6 -> 10 [size =\"22142976\"]\n  6 -> 13 [size =\"22142976\"]\n  6 -> 15 [size =\"22142976\"]\n  7 [size=\"15941120\", alpha=\"0.12\", expect_size=\"6376448\"] \n  7 -> 10 [size =\"6376448\"]\n  7 -> 11 [size =\"6376448\"]\n  7 -> 14 [size =\"6376448\"]\n  7 -> 15 [size =\"6376448\"]\n  8 [size=\"48040960\", alpha=\"0.01\", expect_size=\"19216384\"] \n  8 -> 11 [size =\"19216384\"]\n  8 -> 13 [size =\"19216384\"]\n  8 -> 15 [size =\"19216384\"]\n  8 -> 16 [size =\"19216384\"]\n  9 [size=\"88040960\", alpha=\"0.20\", expect_size=\"35216384\"] \n  9 -> 10 [size =\"35216384\"]\n  9 -> 15 [size =\"35216384\"]\n  9 -> 16 [size =\"35216384\"]\n  10 [size=\"25111040\", alpha=\"0.00\", expect_size=\"10044416\"] \n  10 -> 17 [size =\"10044416\"]\n  10 -> 18 [size =\"10044416\"]\n  10 -> 19 [size =\"10044416\"]\n  10 -> 20 [size =\"10044416\"]\n  10 -> 21 [size =\"10044416\"]\n  10 -> 22 [size =\"10044416\"]\n  10 -> 23 [size =\"10044416\"]\n  11 [size=\"93363200\", alpha=\"0.01\", expect_size=\"37345280\"] \n  11 -> 17 [size =\"37345280\"]\n  11 -> 18 [size =\"37345280\"]\n  11 -> 20 [size =\"37345280\"]\n  11 -> 21 [size =\"37345280\"]\n  12 [size=\"105840640\", alpha=\"0.05\", expect_size=\"42336256\"] \n  12 -> 17 [size =\"42336256\"]\n  12 -> 18 [size =\"42336256\"]\n  12 -> 20 [size =\"42336256\"]\n  13 [size=\"72202240\", alpha=\"0.10\", expect_size=\"28880896\"] \n  13 -> 17 [size =\"28880896\"]\n  13 -> 18 [size =\"28880896\"]\n  13 -> 19 [size =\"28880896\"]\n  13 -> 20 [size =\"28880896\"]\n  13 -> 23 [size =\"28880896\"]\n  14 [size=\"24965120\", alpha=\"0.07\", expect_size=\"9986048\"] \n  14 -> 18 [size =\"9986048\"]\n  14 -> 19 [size =\"9986048\"]\n  14 -> 22 [size =\"9986048\"]\n  14 -> 23 [size =\"9986048\"]\n  14 -> 23 [size =\"9986048\"]\n  15 [size=\"28326400\", alpha=\"0.13\", expect_size=\"11330560\"] \n  15 -> 17 [size =\"11330560\"]\n  15 -> 18 [size =\"11330560\"]\n  15 -> 19 [size =\"11330560\"]\n  15 -> 20 [size =\"11330560\"]\n  15 -> 23 [size =\"11330560\"]\n  16 [size=\"67578880\", alpha=\"0.15\", expect_size=\"27031552\"] \n  16 -> 17 [size =\"27031552\"]\n  16 -> 18 [size =\"27031552\"]\n  16 -> 19 [size =\"27031552\"]\n  16 -> 20 [size =\"27031552\"]\n  16 -> 22 [size =\"27031552\"]\n  16 -> 23 [size =\"27031552\"]\n  17 [size=\"80176640\", alpha=\"0.19\", expect_size=\"32070656\"] \n  17 -> 26 [size =\"32070656\"]\n  17 -> 27 [size =\"32070656\"]\n  17 -> 28 [size =\"32070656\"]\n  18 [size=\"32547840\", alpha=\"0.12\", expect_size=\"13019136\"] \n  18 -> 24 [size =\"13019136\"]\n  18 -> 26 [size =\"13019136\"]\n  18 -> 28 [size =\"13019136\"]\n  19 [size=\"35671040\", alpha=\"0.08\", expect_size=\"14268416\"] \n  19 -> 24 [size =\"14268416\"]\n  19 -> 25 [size =\"14268416\"]\n  19 -> 26 [size =\"14268416\"]\n  19 -> 28 [size =\"14268416\"]\n  19 -> 30 [size =\"14268416\"]\n  20 [size=\"33850880\", alpha=\"0.06\", expect_size=\"13540352\"] \n  20 -> 25 [size =\"13540352\"]\n  20 -> 26 [size =\"13540352\"]\n  20 -> 29 [size =\"13540352\"]\n  21 [size=\"36252160\", alpha=\"0.10\", expect_size=\"14500864\"] \n  21 -> 25 [size =\"14500864\"]\n  21 -> 28 [size =\"14500864\"]\n  21 -> 29 [size =\"14500864\"]\n  22 [size=\"41876480\", alpha=\"0.13\", expect_size=\"16750592\"] \n  22 -> 24 [size =\"16750592\"]\n  22 -> 25 [size =\"16750592\"]\n  22 -> 29 [size =\"16750592\"]\n  23 [size=\"71613440\", alpha=\"0.16\", expect_size=\"28645376\"] \n  23 -> 29 [size =\"28645376\"]\n  24 [size=\"129251840\", alpha=\"0.19\", expect_size=\"51700736\"] \n  25 [size=\"52825600\", alpha=\"0.03\", expect_size=\"21130240\"] \n  26 [size=\"126781440\", alpha=\"0.13\", expect_size=\"50712576\"] \n  27 [size=\"95792640\", alpha=\"0.04\", expect_size=\"38317056\"] \n  28 [size=\"90992640\", alpha=\"0.01\", expect_size=\"36397056\"] \n  29 [size=\"41702400\", alpha=\"0.11\", expect_size=\"16680960\"] \n  30 [size=\"89103360\", alpha=\"0.03\", expect_size=\"35641344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103236267\", alpha=\"0.08\", expect_size=\"30970880\"] \n  1 -> 6 [size =\"30970880\"]\n  1 -> 7 [size =\"30970880\"]\n  1 -> 9 [size =\"30970880\"]\n  2 [size=\"24685227\", alpha=\"0.18\", expect_size=\"7405568\"] \n  2 -> 7 [size =\"7405568\"]\n  2 -> 8 [size =\"7405568\"]\n  2 -> 9 [size =\"7405568\"]\n  3 [size=\"30532267\", alpha=\"0.19\", expect_size=\"9159680\"] \n  3 -> 8 [size =\"9159680\"]\n  4 [size=\"76728320\", alpha=\"0.04\", expect_size=\"23018496\"] \n  4 -> 8 [size =\"23018496\"]\n  5 [size=\"45312000\", alpha=\"0.14\", expect_size=\"13593600\"] \n  5 -> 7 [size =\"13593600\"]\n  5 -> 9 [size =\"13593600\"]\n  6 [size=\"84138667\", alpha=\"0.11\", expect_size=\"25241600\"] \n  6 -> 10 [size =\"25241600\"]\n  6 -> 11 [size =\"25241600\"]\n  6 -> 13 [size =\"25241600\"]\n  7 [size=\"56446293\", alpha=\"0.08\", expect_size=\"16933888\"] \n  7 -> 10 [size =\"16933888\"]\n  7 -> 12 [size =\"16933888\"]\n  8 [size=\"145186133\", alpha=\"0.14\", expect_size=\"43555840\"] \n  8 -> 13 [size =\"43555840\"]\n  9 [size=\"95119360\", alpha=\"0.17\", expect_size=\"28535808\"] \n  9 -> 11 [size =\"28535808\"]\n  9 -> 12 [size =\"28535808\"]\n  9 -> 13 [size =\"28535808\"]\n  10 [size=\"50592427\", alpha=\"0.16\", expect_size=\"15177728\"] \n  10 -> 15 [size =\"15177728\"]\n  10 -> 18 [size =\"15177728\"]\n  11 [size=\"23173120\", alpha=\"0.03\", expect_size=\"6951936\"] \n  11 -> 15 [size =\"6951936\"]\n  11 -> 16 [size =\"6951936\"]\n  11 -> 17 [size =\"6951936\"]\n  11 -> 18 [size =\"6951936\"]\n  12 [size=\"83210240\", alpha=\"0.14\", expect_size=\"24963072\"] \n  12 -> 16 [size =\"24963072\"]\n  12 -> 17 [size =\"24963072\"]\n  13 [size=\"67382613\", alpha=\"0.11\", expect_size=\"20214784\"] \n  13 -> 14 [size =\"20214784\"]\n  13 -> 18 [size =\"20214784\"]\n  14 [size=\"58658133\", alpha=\"0.17\", expect_size=\"17597440\"] \n  14 -> 21 [size =\"17597440\"]\n  14 -> 22 [size =\"17597440\"]\n  15 [size=\"92569600\", alpha=\"0.02\", expect_size=\"27770880\"] \n  15 -> 19 [size =\"27770880\"]\n  15 -> 20 [size =\"27770880\"]\n  15 -> 21 [size =\"27770880\"]\n  15 -> 22 [size =\"27770880\"]\n  16 [size=\"47155200\", alpha=\"0.01\", expect_size=\"14146560\"] \n  16 -> 19 [size =\"14146560\"]\n  16 -> 21 [size =\"14146560\"]\n  17 [size=\"133806080\", alpha=\"0.02\", expect_size=\"40141824\"] \n  17 -> 19 [size =\"40141824\"]\n  18 [size=\"41376427\", alpha=\"0.11\", expect_size=\"12412928\"] \n  18 -> 19 [size =\"12412928\"]\n  19 [size=\"153163093\", alpha=\"0.08\", expect_size=\"45948928\"] \n  19 -> 24 [size =\"45948928\"]\n  19 -> 25 [size =\"45948928\"]\n  19 -> 27 [size =\"45948928\"]\n  20 [size=\"129710080\", alpha=\"0.08\", expect_size=\"38913024\"] \n  20 -> 26 [size =\"38913024\"]\n  21 [size=\"101198507\", alpha=\"0.19\", expect_size=\"30359552\"] \n  21 -> 23 [size =\"30359552\"]\n  21 -> 24 [size =\"30359552\"]\n  21 -> 26 [size =\"30359552\"]\n  21 -> 27 [size =\"30359552\"]\n  22 [size=\"122088107\", alpha=\"0.10\", expect_size=\"36626432\"] \n  22 -> 23 [size =\"36626432\"]\n  22 -> 25 [size =\"36626432\"]\n  22 -> 27 [size =\"36626432\"]\n  23 [size=\"73564160\", alpha=\"0.04\", expect_size=\"22069248\"] \n  23 -> 30 [size =\"22069248\"]\n  24 [size=\"157914453\", alpha=\"0.05\", expect_size=\"47374336\"] \n  24 -> 28 [size =\"47374336\"]\n  25 [size=\"132311040\", alpha=\"0.09\", expect_size=\"39693312\"] \n  25 -> 28 [size =\"39693312\"]\n  25 -> 30 [size =\"39693312\"]\n  26 [size=\"146360320\", alpha=\"0.02\", expect_size=\"43908096\"] \n  26 -> 28 [size =\"43908096\"]\n  26 -> 29 [size =\"43908096\"]\n  27 [size=\"154204160\", alpha=\"0.20\", expect_size=\"46261248\"] \n  27 -> 28 [size =\"46261248\"]\n  27 -> 30 [size =\"46261248\"]\n  28 [size=\"167990613\", alpha=\"0.14\", expect_size=\"50397184\"] \n  29 [size=\"93938347\", alpha=\"0.18\", expect_size=\"28181504\"] \n  30 [size=\"155071147\", alpha=\"0.06\", expect_size=\"46521344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30/random.30.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:19 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122019840\", alpha=\"0.01\", expect_size=\"48807936\"] \n  1 -> 5 [size =\"48807936\"]\n  2 [size=\"57971200\", alpha=\"0.04\", expect_size=\"23188480\"] \n  2 -> 5 [size =\"23188480\"]\n  2 -> 6 [size =\"23188480\"]\n  3 [size=\"51486720\", alpha=\"0.05\", expect_size=\"20594688\"] \n  3 -> 8 [size =\"20594688\"]\n  3 -> 9 [size =\"20594688\"]\n  4 [size=\"110584320\", alpha=\"0.00\", expect_size=\"44233728\"] \n  4 -> 7 [size =\"44233728\"]\n  4 -> 8 [size =\"44233728\"]\n  4 -> 9 [size =\"44233728\"]\n  5 [size=\"59489280\", alpha=\"0.07\", expect_size=\"23795712\"] \n  5 -> 10 [size =\"23795712\"]\n  5 -> 13 [size =\"23795712\"]\n  6 [size=\"36533760\", alpha=\"0.04\", expect_size=\"14613504\"] \n  7 [size=\"125478400\", alpha=\"0.00\", expect_size=\"50191360\"] \n  8 [size=\"79631360\", alpha=\"0.08\", expect_size=\"31852544\"] \n  8 -> 11 [size =\"31852544\"]\n  9 [size=\"49390080\", alpha=\"0.15\", expect_size=\"19756032\"] \n  9 -> 12 [size =\"19756032\"]\n  10 [size=\"108912640\", alpha=\"0.16\", expect_size=\"43565056\"] \n  11 [size=\"124851200\", alpha=\"0.07\", expect_size=\"49940480\"] \n  11 -> 15 [size =\"49940480\"]\n  11 -> 16 [size =\"49940480\"]\n  12 [size=\"14535680\", alpha=\"0.01\", expect_size=\"5814272\"] \n  12 -> 14 [size =\"5814272\"]\n  12 -> 17 [size =\"5814272\"]\n  13 [size=\"36587520\", alpha=\"0.19\", expect_size=\"14635008\"] \n  13 -> 17 [size =\"14635008\"]\n  14 [size=\"64985600\", alpha=\"0.01\", expect_size=\"25994240\"] \n  14 -> 18 [size =\"25994240\"]\n  14 -> 19 [size =\"25994240\"]\n  14 -> 20 [size =\"25994240\"]\n  15 [size=\"65223680\", alpha=\"0.07\", expect_size=\"26089472\"] \n  15 -> 20 [size =\"26089472\"]\n  15 -> 22 [size =\"26089472\"]\n  16 [size=\"104327680\", alpha=\"0.07\", expect_size=\"41731072\"] \n  16 -> 18 [size =\"41731072\"]\n  16 -> 22 [size =\"41731072\"]\n  17 [size=\"129006080\", alpha=\"0.13\", expect_size=\"51602432\"] \n  17 -> 21 [size =\"51602432\"]\n  18 [size=\"129098240\", alpha=\"0.12\", expect_size=\"51639296\"] \n  19 [size=\"58342400\", alpha=\"0.16\", expect_size=\"23336960\"] \n  19 -> 26 [size =\"23336960\"]\n  20 [size=\"29849600\", alpha=\"0.08\", expect_size=\"11939840\"] \n  20 -> 23 [size =\"11939840\"]\n  20 -> 24 [size =\"11939840\"]\n  21 [size=\"125089280\", alpha=\"0.18\", expect_size=\"50035712\"] \n  21 -> 23 [size =\"50035712\"]\n  21 -> 25 [size =\"50035712\"]\n  22 [size=\"49556480\", alpha=\"0.16\", expect_size=\"19822592\"] \n  22 -> 23 [size =\"19822592\"]\n  22 -> 25 [size =\"19822592\"]\n  23 [size=\"56988160\", alpha=\"0.01\", expect_size=\"22795264\"] \n  23 -> 27 [size =\"22795264\"]\n  24 [size=\"48504320\", alpha=\"0.02\", expect_size=\"19401728\"] \n  24 -> 27 [size =\"19401728\"]\n  24 -> 28 [size =\"19401728\"]\n  25 [size=\"52203520\", alpha=\"0.10\", expect_size=\"20881408\"] \n  26 [size=\"93744640\", alpha=\"0.03\", expect_size=\"37497856\"] \n  26 -> 28 [size =\"37497856\"]\n  26 -> 29 [size =\"37497856\"]\n  27 [size=\"18600960\", alpha=\"0.15\", expect_size=\"7440384\"] \n  28 [size=\"97231360\", alpha=\"0.18\", expect_size=\"38892544\"] \n  29 [size=\"51082240\", alpha=\"0.08\", expect_size=\"20432896\"] \n  29 -> 30 [size =\"20432896\"]\n  30 [size=\"26946560\", alpha=\"0.13\", expect_size=\"10778624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40473600\", alpha=\"0.11\", expect_size=\"16189440\"] \n  1 -> 13 [size =\"16189440\"]\n  1 -> 16 [size =\"16189440\"]\n  1 -> 19 [size =\"16189440\"]\n  2 [size=\"128481280\", alpha=\"0.03\", expect_size=\"51392512\"] \n  2 -> 13 [size =\"51392512\"]\n  2 -> 18 [size =\"51392512\"]\n  3 [size=\"90613760\", alpha=\"0.12\", expect_size=\"36245504\"] \n  3 -> 12 [size =\"36245504\"]\n  3 -> 13 [size =\"36245504\"]\n  4 [size=\"24491520\", alpha=\"0.09\", expect_size=\"9796608\"] \n  4 -> 12 [size =\"9796608\"]\n  4 -> 18 [size =\"9796608\"]\n  5 [size=\"74926080\", alpha=\"0.14\", expect_size=\"29970432\"] \n  5 -> 10 [size =\"29970432\"]\n  5 -> 13 [size =\"29970432\"]\n  5 -> 14 [size =\"29970432\"]\n  5 -> 17 [size =\"29970432\"]\n  5 -> 19 [size =\"29970432\"]\n  6 [size=\"30305280\", alpha=\"0.01\", expect_size=\"12122112\"] \n  6 -> 12 [size =\"12122112\"]\n  6 -> 13 [size =\"12122112\"]\n  6 -> 19 [size =\"12122112\"]\n  6 -> 20 [size =\"12122112\"]\n  7 [size=\"96616960\", alpha=\"0.20\", expect_size=\"38646784\"] \n  7 -> 11 [size =\"38646784\"]\n  7 -> 12 [size =\"38646784\"]\n  7 -> 15 [size =\"38646784\"]\n  7 -> 16 [size =\"38646784\"]\n  7 -> 18 [size =\"38646784\"]\n  8 [size=\"103339520\", alpha=\"0.15\", expect_size=\"41335808\"] \n  8 -> 10 [size =\"41335808\"]\n  8 -> 16 [size =\"41335808\"]\n  8 -> 18 [size =\"41335808\"]\n  9 [size=\"113208320\", alpha=\"0.13\", expect_size=\"45283328\"] \n  10 [size=\"125035520\", alpha=\"0.09\", expect_size=\"50014208\"] \n  10 -> 23 [size =\"50014208\"]\n  10 -> 27 [size =\"50014208\"]\n  11 [size=\"124874240\", alpha=\"0.02\", expect_size=\"49949696\"] \n  11 -> 22 [size =\"49949696\"]\n  11 -> 25 [size =\"49949696\"]\n  12 [size=\"71470080\", alpha=\"0.18\", expect_size=\"28588032\"] \n  12 -> 27 [size =\"28588032\"]\n  13 [size=\"91893760\", alpha=\"0.17\", expect_size=\"36757504\"] \n  13 -> 22 [size =\"36757504\"]\n  13 -> 24 [size =\"36757504\"]\n  13 -> 29 [size =\"36757504\"]\n  14 [size=\"43038720\", alpha=\"0.06\", expect_size=\"17215488\"] \n  14 -> 22 [size =\"17215488\"]\n  15 [size=\"97707520\", alpha=\"0.14\", expect_size=\"39083008\"] \n  15 -> 26 [size =\"39083008\"]\n  15 -> 27 [size =\"39083008\"]\n  16 [size=\"60776960\", alpha=\"0.09\", expect_size=\"24310784\"] \n  16 -> 23 [size =\"24310784\"]\n  16 -> 24 [size =\"24310784\"]\n  16 -> 26 [size =\"24310784\"]\n  16 -> 27 [size =\"24310784\"]\n  16 -> 30 [size =\"24310784\"]\n  17 [size=\"66785280\", alpha=\"0.08\", expect_size=\"26714112\"] \n  17 -> 22 [size =\"26714112\"]\n  17 -> 23 [size =\"26714112\"]\n  17 -> 27 [size =\"26714112\"]\n  18 [size=\"63892480\", alpha=\"0.14\", expect_size=\"25556992\"] \n  18 -> 21 [size =\"25556992\"]\n  18 -> 22 [size =\"25556992\"]\n  18 -> 24 [size =\"25556992\"]\n  18 -> 26 [size =\"25556992\"]\n  18 -> 27 [size =\"25556992\"]\n  18 -> 30 [size =\"25556992\"]\n  19 [size=\"34496000\", alpha=\"0.02\", expect_size=\"13798400\"] \n  19 -> 21 [size =\"13798400\"]\n  19 -> 24 [size =\"13798400\"]\n  19 -> 26 [size =\"13798400\"]\n  19 -> 28 [size =\"13798400\"]\n  19 -> 30 [size =\"13798400\"]\n  20 [size=\"111293440\", alpha=\"0.17\", expect_size=\"44517376\"] \n  20 -> 21 [size =\"44517376\"]\n  20 -> 22 [size =\"44517376\"]\n  20 -> 25 [size =\"44517376\"]\n  20 -> 26 [size =\"44517376\"]\n  20 -> 29 [size =\"44517376\"]\n  21 [size=\"44339200\", alpha=\"0.17\", expect_size=\"17735680\"] \n  22 [size=\"58291200\", alpha=\"0.16\", expect_size=\"23316480\"] \n  23 [size=\"48993280\", alpha=\"0.09\", expect_size=\"19597312\"] \n  24 [size=\"32650240\", alpha=\"0.03\", expect_size=\"13060096\"] \n  25 [size=\"66140160\", alpha=\"0.08\", expect_size=\"26456064\"] \n  26 [size=\"29747200\", alpha=\"0.16\", expect_size=\"11898880\"] \n  27 [size=\"83988480\", alpha=\"0.18\", expect_size=\"33595392\"] \n  28 [size=\"15024640\", alpha=\"0.15\", expect_size=\"6009856\"] \n  29 [size=\"95224320\", alpha=\"0.10\", expect_size=\"38089728\"] \n  30 [size=\"104704000\", alpha=\"0.03\", expect_size=\"41881600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67227648\", alpha=\"0.11\", expect_size=\"33613824\"] \n  1 -> 17 [size =\"33613824\"]\n  1 -> 26 [size =\"33613824\"]\n  1 -> 28 [size =\"33613824\"]\n  2 [size=\"103510016\", alpha=\"0.08\", expect_size=\"51755008\"] \n  2 -> 16 [size =\"51755008\"]\n  2 -> 21 [size =\"51755008\"]\n  2 -> 28 [size =\"51755008\"]\n  3 [size=\"84115456\", alpha=\"0.19\", expect_size=\"42057728\"] \n  3 -> 16 [size =\"42057728\"]\n  3 -> 20 [size =\"42057728\"]\n  3 -> 27 [size =\"42057728\"]\n  3 -> 29 [size =\"42057728\"]\n  3 -> 30 [size =\"42057728\"]\n  4 [size=\"48701440\", alpha=\"0.00\", expect_size=\"24350720\"] \n  4 -> 27 [size =\"24350720\"]\n  4 -> 29 [size =\"24350720\"]\n  5 [size=\"52103168\", alpha=\"0.15\", expect_size=\"26051584\"] \n  5 -> 20 [size =\"26051584\"]\n  5 -> 21 [size =\"26051584\"]\n  5 -> 25 [size =\"26051584\"]\n  5 -> 26 [size =\"26051584\"]\n  6 [size=\"77365248\", alpha=\"0.02\", expect_size=\"38682624\"] \n  6 -> 28 [size =\"38682624\"]\n  6 -> 29 [size =\"38682624\"]\n  7 [size=\"28180480\", alpha=\"0.17\", expect_size=\"14090240\"] \n  7 -> 18 [size =\"14090240\"]\n  7 -> 29 [size =\"14090240\"]\n  8 [size=\"30109696\", alpha=\"0.14\", expect_size=\"15054848\"] \n  8 -> 18 [size =\"15054848\"]\n  8 -> 20 [size =\"15054848\"]\n  8 -> 21 [size =\"15054848\"]\n  9 [size=\"25454592\", alpha=\"0.01\", expect_size=\"12727296\"] \n  9 -> 18 [size =\"12727296\"]\n  9 -> 29 [size =\"12727296\"]\n  10 [size=\"82651136\", alpha=\"0.03\", expect_size=\"41325568\"] \n  10 -> 22 [size =\"41325568\"]\n  10 -> 27 [size =\"41325568\"]\n  11 [size=\"92545024\", alpha=\"0.10\", expect_size=\"46272512\"] \n  11 -> 18 [size =\"46272512\"]\n  11 -> 22 [size =\"46272512\"]\n  11 -> 27 [size =\"46272512\"]\n  11 -> 29 [size =\"46272512\"]\n  12 [size=\"50143232\", alpha=\"0.04\", expect_size=\"25071616\"] \n  12 -> 24 [size =\"25071616\"]\n  12 -> 27 [size =\"25071616\"]\n  12 -> 29 [size =\"25071616\"]\n  13 [size=\"86867968\", alpha=\"0.01\", expect_size=\"43433984\"] \n  13 -> 17 [size =\"43433984\"]\n  13 -> 20 [size =\"43433984\"]\n  13 -> 22 [size =\"43433984\"]\n  13 -> 27 [size =\"43433984\"]\n  13 -> 28 [size =\"43433984\"]\n  13 -> 29 [size =\"43433984\"]\n  14 [size=\"82601984\", alpha=\"0.09\", expect_size=\"41300992\"] \n  14 -> 17 [size =\"41300992\"]\n  14 -> 20 [size =\"41300992\"]\n  14 -> 23 [size =\"41300992\"]\n  14 -> 28 [size =\"41300992\"]\n  15 [size=\"84561920\", alpha=\"0.17\", expect_size=\"42280960\"] \n  15 -> 19 [size =\"42280960\"]\n  15 -> 20 [size =\"42280960\"]\n  15 -> 24 [size =\"42280960\"]\n  15 -> 28 [size =\"42280960\"]\n  16 [size=\"62351360\", alpha=\"0.08\", expect_size=\"31175680\"] \n  17 [size=\"70361088\", alpha=\"0.14\", expect_size=\"35180544\"] \n  18 [size=\"56465408\", alpha=\"0.08\", expect_size=\"28232704\"] \n  19 [size=\"29405184\", alpha=\"0.03\", expect_size=\"14702592\"] \n  20 [size=\"36380672\", alpha=\"0.16\", expect_size=\"18190336\"] \n  21 [size=\"50481152\", alpha=\"0.02\", expect_size=\"25240576\"] \n  22 [size=\"99469312\", alpha=\"0.07\", expect_size=\"49734656\"] \n  23 [size=\"25499648\", alpha=\"0.08\", expect_size=\"12749824\"] \n  24 [size=\"29181952\", alpha=\"0.16\", expect_size=\"14590976\"] \n  25 [size=\"70129664\", alpha=\"0.14\", expect_size=\"35064832\"] \n  26 [size=\"58060800\", alpha=\"0.06\", expect_size=\"29030400\"] \n  27 [size=\"95657984\", alpha=\"0.01\", expect_size=\"47828992\"] \n  28 [size=\"68067328\", alpha=\"0.01\", expect_size=\"34033664\"] \n  29 [size=\"13635584\", alpha=\"0.04\", expect_size=\"6817792\"] \n  30 [size=\"28030976\", alpha=\"0.02\", expect_size=\"14015488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104407040\", alpha=\"0.17\", expect_size=\"31322112\"] \n  1 -> 22 [size =\"31322112\"]\n  1 -> 25 [size =\"31322112\"]\n  1 -> 26 [size =\"31322112\"]\n  1 -> 29 [size =\"31322112\"]\n  2 [size=\"169250133\", alpha=\"0.14\", expect_size=\"50775040\"] \n  2 -> 25 [size =\"50775040\"]\n  2 -> 25 [size =\"50775040\"]\n  2 -> 27 [size =\"50775040\"]\n  2 -> 30 [size =\"50775040\"]\n  3 [size=\"140834133\", alpha=\"0.03\", expect_size=\"42250240\"] \n  3 -> 25 [size =\"42250240\"]\n  3 -> 26 [size =\"42250240\"]\n  3 -> 28 [size =\"42250240\"]\n  4 [size=\"68648960\", alpha=\"0.19\", expect_size=\"20594688\"] \n  4 -> 24 [size =\"20594688\"]\n  4 -> 25 [size =\"20594688\"]\n  5 [size=\"64242347\", alpha=\"0.11\", expect_size=\"19272704\"] \n  5 -> 23 [size =\"19272704\"]\n  5 -> 26 [size =\"19272704\"]\n  5 -> 27 [size =\"19272704\"]\n  6 [size=\"92091733\", alpha=\"0.00\", expect_size=\"27627520\"] \n  6 -> 27 [size =\"27627520\"]\n  6 -> 28 [size =\"27627520\"]\n  7 [size=\"17575253\", alpha=\"0.00\", expect_size=\"5272576\"] \n  7 -> 25 [size =\"5272576\"]\n  8 [size=\"159156907\", alpha=\"0.17\", expect_size=\"47747072\"] \n  8 -> 24 [size =\"47747072\"]\n  8 -> 25 [size =\"47747072\"]\n  8 -> 26 [size =\"47747072\"]\n  8 -> 30 [size =\"47747072\"]\n  9 [size=\"166826667\", alpha=\"0.15\", expect_size=\"50048000\"] \n  9 -> 23 [size =\"50048000\"]\n  9 -> 24 [size =\"50048000\"]\n  9 -> 25 [size =\"50048000\"]\n  9 -> 28 [size =\"50048000\"]\n  9 -> 30 [size =\"50048000\"]\n  10 [size=\"164048213\", alpha=\"0.06\", expect_size=\"49214464\"] \n  10 -> 23 [size =\"49214464\"]\n  10 -> 25 [size =\"49214464\"]\n  10 -> 30 [size =\"49214464\"]\n  11 [size=\"92282880\", alpha=\"0.09\", expect_size=\"27684864\"] \n  11 -> 23 [size =\"27684864\"]\n  12 [size=\"71441067\", alpha=\"0.13\", expect_size=\"21432320\"] \n  12 -> 30 [size =\"21432320\"]\n  13 [size=\"25023147\", alpha=\"0.10\", expect_size=\"7506944\"] \n  13 -> 22 [size =\"7506944\"]\n  13 -> 23 [size =\"7506944\"]\n  13 -> 25 [size =\"7506944\"]\n  13 -> 30 [size =\"7506944\"]\n  14 [size=\"45731840\", alpha=\"0.02\", expect_size=\"13719552\"] \n  14 -> 23 [size =\"13719552\"]\n  14 -> 25 [size =\"13719552\"]\n  15 [size=\"39553707\", alpha=\"0.17\", expect_size=\"11866112\"] \n  16 [size=\"125054293\", alpha=\"0.17\", expect_size=\"37516288\"] \n  16 -> 24 [size =\"37516288\"]\n  16 -> 27 [size =\"37516288\"]\n  17 [size=\"126706347\", alpha=\"0.13\", expect_size=\"38011904\"] \n  17 -> 24 [size =\"38011904\"]\n  17 -> 25 [size =\"38011904\"]\n  17 -> 26 [size =\"38011904\"]\n  17 -> 29 [size =\"38011904\"]\n  18 [size=\"129686187\", alpha=\"0.10\", expect_size=\"38905856\"] \n  18 -> 26 [size =\"38905856\"]\n  18 -> 29 [size =\"38905856\"]\n  19 [size=\"107642880\", alpha=\"0.16\", expect_size=\"32292864\"] \n  20 [size=\"70318080\", alpha=\"0.02\", expect_size=\"21095424\"] \n  20 -> 22 [size =\"21095424\"]\n  20 -> 29 [size =\"21095424\"]\n  21 [size=\"116462933\", alpha=\"0.18\", expect_size=\"34938880\"] \n  21 -> 22 [size =\"34938880\"]\n  21 -> 24 [size =\"34938880\"]\n  22 [size=\"26852693\", alpha=\"0.14\", expect_size=\"8055808\"] \n  23 [size=\"126252373\", alpha=\"0.06\", expect_size=\"37875712\"] \n  24 [size=\"45451947\", alpha=\"0.04\", expect_size=\"13635584\"] \n  25 [size=\"63313920\", alpha=\"0.08\", expect_size=\"18994176\"] \n  26 [size=\"37474987\", alpha=\"0.02\", expect_size=\"11242496\"] \n  27 [size=\"171653120\", alpha=\"0.16\", expect_size=\"51495936\"] \n  28 [size=\"117319680\", alpha=\"0.07\", expect_size=\"35195904\"] \n  29 [size=\"42147840\", alpha=\"0.18\", expect_size=\"12644352\"] \n  30 [size=\"166884693\", alpha=\"0.07\", expect_size=\"50065408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61006507\", alpha=\"0.18\", expect_size=\"18301952\"] \n  1 -> 8 [size =\"18301952\"]\n  1 -> 10 [size =\"18301952\"]\n  1 -> 12 [size =\"18301952\"]\n  1 -> 14 [size =\"18301952\"]\n  1 -> 16 [size =\"18301952\"]\n  1 -> 16 [size =\"18301952\"]\n  1 -> 17 [size =\"18301952\"]\n  1 -> 20 [size =\"18301952\"]\n  2 [size=\"162706773\", alpha=\"0.18\", expect_size=\"48812032\"] \n  2 -> 14 [size =\"48812032\"]\n  2 -> 16 [size =\"48812032\"]\n  2 -> 17 [size =\"48812032\"]\n  2 -> 20 [size =\"48812032\"]\n  3 [size=\"21135360\", alpha=\"0.13\", expect_size=\"6340608\"] \n  3 -> 9 [size =\"6340608\"]\n  3 -> 10 [size =\"6340608\"]\n  3 -> 14 [size =\"6340608\"]\n  3 -> 15 [size =\"6340608\"]\n  3 -> 16 [size =\"6340608\"]\n  3 -> 19 [size =\"6340608\"]\n  3 -> 20 [size =\"6340608\"]\n  4 [size=\"163676160\", alpha=\"0.06\", expect_size=\"49102848\"] \n  4 -> 8 [size =\"49102848\"]\n  4 -> 9 [size =\"49102848\"]\n  4 -> 10 [size =\"49102848\"]\n  4 -> 12 [size =\"49102848\"]\n  4 -> 13 [size =\"49102848\"]\n  4 -> 14 [size =\"49102848\"]\n  4 -> 17 [size =\"49102848\"]\n  4 -> 18 [size =\"49102848\"]\n  4 -> 20 [size =\"49102848\"]\n  5 [size=\"118326613\", alpha=\"0.00\", expect_size=\"35497984\"] \n  5 -> 10 [size =\"35497984\"]\n  5 -> 11 [size =\"35497984\"]\n  5 -> 13 [size =\"35497984\"]\n  5 -> 14 [size =\"35497984\"]\n  5 -> 16 [size =\"35497984\"]\n  5 -> 18 [size =\"35497984\"]\n  5 -> 20 [size =\"35497984\"]\n  6 [size=\"159641600\", alpha=\"0.13\", expect_size=\"47892480\"] \n  6 -> 9 [size =\"47892480\"]\n  6 -> 10 [size =\"47892480\"]\n  6 -> 13 [size =\"47892480\"]\n  6 -> 14 [size =\"47892480\"]\n  6 -> 16 [size =\"47892480\"]\n  6 -> 17 [size =\"47892480\"]\n  6 -> 18 [size =\"47892480\"]\n  6 -> 20 [size =\"47892480\"]\n  7 [size=\"82036053\", alpha=\"0.13\", expect_size=\"24610816\"] \n  7 -> 10 [size =\"24610816\"]\n  7 -> 13 [size =\"24610816\"]\n  7 -> 13 [size =\"24610816\"]\n  7 -> 14 [size =\"24610816\"]\n  7 -> 15 [size =\"24610816\"]\n  7 -> 16 [size =\"24610816\"]\n  7 -> 17 [size =\"24610816\"]\n  7 -> 20 [size =\"24610816\"]\n  8 [size=\"69048320\", alpha=\"0.08\", expect_size=\"20714496\"] \n  8 -> 22 [size =\"20714496\"]\n  8 -> 23 [size =\"20714496\"]\n  8 -> 25 [size =\"20714496\"]\n  8 -> 27 [size =\"20714496\"]\n  8 -> 29 [size =\"20714496\"]\n  9 [size=\"121924267\", alpha=\"0.11\", expect_size=\"36577280\"] \n  9 -> 22 [size =\"36577280\"]\n  9 -> 23 [size =\"36577280\"]\n  9 -> 25 [size =\"36577280\"]\n  10 [size=\"20401493\", alpha=\"0.09\", expect_size=\"6120448\"] \n  10 -> 21 [size =\"6120448\"]\n  10 -> 22 [size =\"6120448\"]\n  10 -> 23 [size =\"6120448\"]\n  10 -> 24 [size =\"6120448\"]\n  10 -> 25 [size =\"6120448\"]\n  11 [size=\"124136107\", alpha=\"0.04\", expect_size=\"37240832\"] \n  11 -> 21 [size =\"37240832\"]\n  11 -> 23 [size =\"37240832\"]\n  11 -> 23 [size =\"37240832\"]\n  11 -> 25 [size =\"37240832\"]\n  11 -> 28 [size =\"37240832\"]\n  12 [size=\"109765973\", alpha=\"0.10\", expect_size=\"32929792\"] \n  12 -> 21 [size =\"32929792\"]\n  12 -> 23 [size =\"32929792\"]\n  12 -> 25 [size =\"32929792\"]\n  12 -> 25 [size =\"32929792\"]\n  12 -> 28 [size =\"32929792\"]\n  12 -> 30 [size =\"32929792\"]\n  13 [size=\"93713067\", alpha=\"0.03\", expect_size=\"28113920\"] \n  13 -> 21 [size =\"28113920\"]\n  13 -> 23 [size =\"28113920\"]\n  13 -> 28 [size =\"28113920\"]\n  14 [size=\"39062187\", alpha=\"0.04\", expect_size=\"11718656\"] \n  14 -> 27 [size =\"11718656\"]\n  14 -> 28 [size =\"11718656\"]\n  15 [size=\"83858773\", alpha=\"0.02\", expect_size=\"25157632\"] \n  15 -> 22 [size =\"25157632\"]\n  15 -> 23 [size =\"25157632\"]\n  15 -> 27 [size =\"25157632\"]\n  16 [size=\"85155840\", alpha=\"0.09\", expect_size=\"25546752\"] \n  16 -> 22 [size =\"25546752\"]\n  17 [size=\"30402560\", alpha=\"0.17\", expect_size=\"9120768\"] \n  17 -> 21 [size =\"9120768\"]\n  17 -> 22 [size =\"9120768\"]\n  17 -> 25 [size =\"9120768\"]\n  17 -> 26 [size =\"9120768\"]\n  17 -> 27 [size =\"9120768\"]\n  18 [size=\"132788907\", alpha=\"0.14\", expect_size=\"39836672\"] \n  18 -> 22 [size =\"39836672\"]\n  18 -> 22 [size =\"39836672\"]\n  18 -> 23 [size =\"39836672\"]\n  18 -> 29 [size =\"39836672\"]\n  19 [size=\"35048107\", alpha=\"0.03\", expect_size=\"10514432\"] \n  19 -> 23 [size =\"10514432\"]\n  19 -> 25 [size =\"10514432\"]\n  19 -> 26 [size =\"10514432\"]\n  20 [size=\"124839253\", alpha=\"0.17\", expect_size=\"37451776\"] \n  20 -> 23 [size =\"37451776\"]\n  20 -> 27 [size =\"37451776\"]\n  21 [size=\"37184853\", alpha=\"0.16\", expect_size=\"11155456\"] \n  22 [size=\"65570133\", alpha=\"0.14\", expect_size=\"19671040\"] \n  23 [size=\"140718080\", alpha=\"0.13\", expect_size=\"42215424\"] \n  24 [size=\"161310720\", alpha=\"0.10\", expect_size=\"48393216\"] \n  25 [size=\"35153920\", alpha=\"0.20\", expect_size=\"10546176\"] \n  26 [size=\"52070400\", alpha=\"0.07\", expect_size=\"15621120\"] \n  27 [size=\"122006187\", alpha=\"0.04\", expect_size=\"36601856\"] \n  28 [size=\"101901653\", alpha=\"0.06\", expect_size=\"30570496\"] \n  29 [size=\"53701973\", alpha=\"0.02\", expect_size=\"16110592\"] \n  30 [size=\"76363093\", alpha=\"0.19\", expect_size=\"22908928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14494720\", alpha=\"0.08\", expect_size=\"5797888\"] \n  1 -> 3 [size =\"5797888\"]\n  2 [size=\"45928960\", alpha=\"0.06\", expect_size=\"18371584\"] \n  2 -> 3 [size =\"18371584\"]\n  3 [size=\"77294080\", alpha=\"0.14\", expect_size=\"30917632\"] \n  3 -> 4 [size =\"30917632\"]\n  4 [size=\"100062720\", alpha=\"0.18\", expect_size=\"40025088\"] \n  4 -> 5 [size =\"40025088\"]\n  5 [size=\"130926080\", alpha=\"0.10\", expect_size=\"52370432\"] \n  5 -> 6 [size =\"52370432\"]\n  5 -> 7 [size =\"52370432\"]\n  6 [size=\"53829120\", alpha=\"0.07\", expect_size=\"21531648\"] \n  6 -> 8 [size =\"21531648\"]\n  7 [size=\"54338560\", alpha=\"0.01\", expect_size=\"21735424\"] \n  7 -> 8 [size =\"21735424\"]\n  8 [size=\"50897920\", alpha=\"0.14\", expect_size=\"20359168\"] \n  8 -> 9 [size =\"20359168\"]\n  8 -> 10 [size =\"20359168\"]\n  9 [size=\"81748480\", alpha=\"0.19\", expect_size=\"32699392\"] \n  9 -> 11 [size =\"32699392\"]\n  9 -> 12 [size =\"32699392\"]\n  10 [size=\"85181440\", alpha=\"0.13\", expect_size=\"34072576\"] \n  10 -> 12 [size =\"34072576\"]\n  11 [size=\"60119040\", alpha=\"0.09\", expect_size=\"24047616\"] \n  12 [size=\"105249280\", alpha=\"0.15\", expect_size=\"42099712\"] \n  12 -> 13 [size =\"42099712\"]\n  13 [size=\"20986880\", alpha=\"0.17\", expect_size=\"8394752\"] \n  13 -> 14 [size =\"8394752\"]\n  14 [size=\"101680640\", alpha=\"0.19\", expect_size=\"40672256\"] \n  14 -> 15 [size =\"40672256\"]\n  14 -> 16 [size =\"40672256\"]\n  15 [size=\"87488000\", alpha=\"0.09\", expect_size=\"34995200\"] \n  15 -> 18 [size =\"34995200\"]\n  16 [size=\"26472960\", alpha=\"0.12\", expect_size=\"10589184\"] \n  16 -> 17 [size =\"10589184\"]\n  17 [size=\"69767680\", alpha=\"0.19\", expect_size=\"27907072\"] \n  17 -> 19 [size =\"27907072\"]\n  18 [size=\"73963520\", alpha=\"0.10\", expect_size=\"29585408\"] \n  19 [size=\"38812160\", alpha=\"0.02\", expect_size=\"15524864\"] \n  19 -> 20 [size =\"15524864\"]\n  19 -> 21 [size =\"15524864\"]\n  20 [size=\"35299840\", alpha=\"0.10\", expect_size=\"14119936\"] \n  20 -> 22 [size =\"14119936\"]\n  21 [size=\"109107200\", alpha=\"0.19\", expect_size=\"43642880\"] \n  21 -> 22 [size =\"43642880\"]\n  22 [size=\"44538880\", alpha=\"0.13\", expect_size=\"17815552\"] \n  22 -> 23 [size =\"17815552\"]\n  23 [size=\"130114560\", alpha=\"0.18\", expect_size=\"52045824\"] \n  23 -> 24 [size =\"52045824\"]\n  24 [size=\"112721920\", alpha=\"0.17\", expect_size=\"45088768\"] \n  24 -> 25 [size =\"45088768\"]\n  25 [size=\"105886720\", alpha=\"0.17\", expect_size=\"42354688\"] \n  25 -> 26 [size =\"42354688\"]\n  25 -> 27 [size =\"42354688\"]\n  26 [size=\"40599040\", alpha=\"0.03\", expect_size=\"16239616\"] \n  26 -> 28 [size =\"16239616\"]\n  26 -> 29 [size =\"16239616\"]\n  27 [size=\"110668800\", alpha=\"0.16\", expect_size=\"44267520\"] \n  28 [size=\"102525440\", alpha=\"0.16\", expect_size=\"41010176\"] \n  28 -> 30 [size =\"41010176\"]\n  29 [size=\"43102720\", alpha=\"0.08\", expect_size=\"17241088\"] \n  30 [size=\"56944640\", alpha=\"0.11\", expect_size=\"22777856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91899904\", alpha=\"0.19\", expect_size=\"45949952\"] \n  1 -> 27 [size =\"45949952\"]\n  1 -> 29 [size =\"45949952\"]\n  1 -> 30 [size =\"45949952\"]\n  2 [size=\"84359168\", alpha=\"0.19\", expect_size=\"42179584\"] \n  2 -> 25 [size =\"42179584\"]\n  2 -> 28 [size =\"42179584\"]\n  3 [size=\"20742144\", alpha=\"0.14\", expect_size=\"10371072\"] \n  3 -> 25 [size =\"10371072\"]\n  3 -> 26 [size =\"10371072\"]\n  4 [size=\"84701184\", alpha=\"0.05\", expect_size=\"42350592\"] \n  4 -> 25 [size =\"42350592\"]\n  4 -> 26 [size =\"42350592\"]\n  5 [size=\"79804416\", alpha=\"0.02\", expect_size=\"39902208\"] \n  5 -> 26 [size =\"39902208\"]\n  5 -> 28 [size =\"39902208\"]\n  6 [size=\"61917184\", alpha=\"0.09\", expect_size=\"30958592\"] \n  6 -> 24 [size =\"30958592\"]\n  6 -> 25 [size =\"30958592\"]\n  6 -> 26 [size =\"30958592\"]\n  7 [size=\"49809408\", alpha=\"0.14\", expect_size=\"24904704\"] \n  7 -> 25 [size =\"24904704\"]\n  7 -> 25 [size =\"24904704\"]\n  7 -> 26 [size =\"24904704\"]\n  7 -> 27 [size =\"24904704\"]\n  7 -> 30 [size =\"24904704\"]\n  8 [size=\"20459520\", alpha=\"0.14\", expect_size=\"10229760\"] \n  8 -> 25 [size =\"10229760\"]\n  8 -> 27 [size =\"10229760\"]\n  8 -> 29 [size =\"10229760\"]\n  8 -> 30 [size =\"10229760\"]\n  9 [size=\"27643904\", alpha=\"0.06\", expect_size=\"13821952\"] \n  9 -> 25 [size =\"13821952\"]\n  10 [size=\"37210112\", alpha=\"0.19\", expect_size=\"18605056\"] \n  10 -> 24 [size =\"18605056\"]\n  10 -> 26 [size =\"18605056\"]\n  11 [size=\"38690816\", alpha=\"0.10\", expect_size=\"19345408\"] \n  11 -> 26 [size =\"19345408\"]\n  12 [size=\"35287040\", alpha=\"0.08\", expect_size=\"17643520\"] \n  12 -> 26 [size =\"17643520\"]\n  13 [size=\"32059392\", alpha=\"0.05\", expect_size=\"16029696\"] \n  14 [size=\"96000000\", alpha=\"0.15\", expect_size=\"48000000\"] \n  14 -> 25 [size =\"48000000\"]\n  14 -> 27 [size =\"48000000\"]\n  15 [size=\"26013696\", alpha=\"0.14\", expect_size=\"13006848\"] \n  15 -> 27 [size =\"13006848\"]\n  16 [size=\"37142528\", alpha=\"0.08\", expect_size=\"18571264\"] \n  16 -> 25 [size =\"18571264\"]\n  16 -> 26 [size =\"18571264\"]\n  16 -> 29 [size =\"18571264\"]\n  17 [size=\"80885760\", alpha=\"0.10\", expect_size=\"40442880\"] \n  17 -> 25 [size =\"40442880\"]\n  17 -> 26 [size =\"40442880\"]\n  18 [size=\"53954560\", alpha=\"0.04\", expect_size=\"26977280\"] \n  19 [size=\"26652672\", alpha=\"0.03\", expect_size=\"13326336\"] \n  19 -> 24 [size =\"13326336\"]\n  19 -> 25 [size =\"13326336\"]\n  20 [size=\"53868544\", alpha=\"0.02\", expect_size=\"26934272\"] \n  20 -> 25 [size =\"26934272\"]\n  20 -> 26 [size =\"26934272\"]\n  20 -> 28 [size =\"26934272\"]\n  20 -> 30 [size =\"26934272\"]\n  21 [size=\"50466816\", alpha=\"0.18\", expect_size=\"25233408\"] \n  21 -> 26 [size =\"25233408\"]\n  21 -> 30 [size =\"25233408\"]\n  22 [size=\"99074048\", alpha=\"0.10\", expect_size=\"49537024\"] \n  22 -> 26 [size =\"49537024\"]\n  23 [size=\"40120320\", alpha=\"0.04\", expect_size=\"20060160\"] \n  23 -> 25 [size =\"20060160\"]\n  23 -> 26 [size =\"20060160\"]\n  23 -> 29 [size =\"20060160\"]\n  24 [size=\"61710336\", alpha=\"0.14\", expect_size=\"30855168\"] \n  25 [size=\"38438912\", alpha=\"0.18\", expect_size=\"19219456\"] \n  26 [size=\"12107776\", alpha=\"0.14\", expect_size=\"6053888\"] \n  27 [size=\"48275456\", alpha=\"0.18\", expect_size=\"24137728\"] \n  28 [size=\"94818304\", alpha=\"0.03\", expect_size=\"47409152\"] \n  29 [size=\"21045248\", alpha=\"0.13\", expect_size=\"10522624\"] \n  30 [size=\"34111488\", alpha=\"0.08\", expect_size=\"17055744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75792384\", alpha=\"0.15\", expect_size=\"37896192\"] \n  1 -> 13 [size =\"37896192\"]\n  1 -> 18 [size =\"37896192\"]\n  1 -> 19 [size =\"37896192\"]\n  1 -> 21 [size =\"37896192\"]\n  2 [size=\"18327552\", alpha=\"0.04\", expect_size=\"9163776\"] \n  2 -> 14 [size =\"9163776\"]\n  2 -> 15 [size =\"9163776\"]\n  2 -> 18 [size =\"9163776\"]\n  2 -> 20 [size =\"9163776\"]\n  3 [size=\"12728320\", alpha=\"0.12\", expect_size=\"6364160\"] \n  3 -> 13 [size =\"6364160\"]\n  3 -> 18 [size =\"6364160\"]\n  3 -> 18 [size =\"6364160\"]\n  3 -> 19 [size =\"6364160\"]\n  3 -> 21 [size =\"6364160\"]\n  4 [size=\"88666112\", alpha=\"0.14\", expect_size=\"44333056\"] \n  4 -> 13 [size =\"44333056\"]\n  4 -> 15 [size =\"44333056\"]\n  4 -> 16 [size =\"44333056\"]\n  4 -> 18 [size =\"44333056\"]\n  4 -> 21 [size =\"44333056\"]\n  5 [size=\"94324736\", alpha=\"0.12\", expect_size=\"47162368\"] \n  5 -> 13 [size =\"47162368\"]\n  5 -> 15 [size =\"47162368\"]\n  5 -> 16 [size =\"47162368\"]\n  5 -> 18 [size =\"47162368\"]\n  5 -> 21 [size =\"47162368\"]\n  6 [size=\"62457856\", alpha=\"0.01\", expect_size=\"31228928\"] \n  6 -> 13 [size =\"31228928\"]\n  6 -> 14 [size =\"31228928\"]\n  6 -> 15 [size =\"31228928\"]\n  6 -> 18 [size =\"31228928\"]\n  6 -> 19 [size =\"31228928\"]\n  7 [size=\"31346688\", alpha=\"0.07\", expect_size=\"15673344\"] \n  7 -> 13 [size =\"15673344\"]\n  7 -> 15 [size =\"15673344\"]\n  7 -> 16 [size =\"15673344\"]\n  7 -> 18 [size =\"15673344\"]\n  7 -> 19 [size =\"15673344\"]\n  7 -> 21 [size =\"15673344\"]\n  8 [size=\"75390976\", alpha=\"0.02\", expect_size=\"37695488\"] \n  8 -> 13 [size =\"37695488\"]\n  8 -> 15 [size =\"37695488\"]\n  8 -> 16 [size =\"37695488\"]\n  8 -> 18 [size =\"37695488\"]\n  8 -> 21 [size =\"37695488\"]\n  9 [size=\"40275968\", alpha=\"0.08\", expect_size=\"20137984\"] \n  9 -> 13 [size =\"20137984\"]\n  9 -> 14 [size =\"20137984\"]\n  9 -> 18 [size =\"20137984\"]\n  9 -> 19 [size =\"20137984\"]\n  10 [size=\"75485184\", alpha=\"0.15\", expect_size=\"37742592\"] \n  10 -> 13 [size =\"37742592\"]\n  10 -> 16 [size =\"37742592\"]\n  10 -> 19 [size =\"37742592\"]\n  11 [size=\"72611840\", alpha=\"0.02\", expect_size=\"36305920\"] \n  11 -> 13 [size =\"36305920\"]\n  11 -> 14 [size =\"36305920\"]\n  11 -> 17 [size =\"36305920\"]\n  11 -> 18 [size =\"36305920\"]\n  12 [size=\"46796800\", alpha=\"0.03\", expect_size=\"23398400\"] \n  12 -> 13 [size =\"23398400\"]\n  12 -> 14 [size =\"23398400\"]\n  12 -> 21 [size =\"23398400\"]\n  13 [size=\"67764224\", alpha=\"0.17\", expect_size=\"33882112\"] \n  13 -> 22 [size =\"33882112\"]\n  13 -> 23 [size =\"33882112\"]\n  13 -> 24 [size =\"33882112\"]\n  13 -> 25 [size =\"33882112\"]\n  13 -> 27 [size =\"33882112\"]\n  14 [size=\"31277056\", alpha=\"0.14\", expect_size=\"15638528\"] \n  14 -> 23 [size =\"15638528\"]\n  14 -> 24 [size =\"15638528\"]\n  14 -> 24 [size =\"15638528\"]\n  14 -> 25 [size =\"15638528\"]\n  14 -> 26 [size =\"15638528\"]\n  14 -> 30 [size =\"15638528\"]\n  15 [size=\"99377152\", alpha=\"0.14\", expect_size=\"49688576\"] \n  15 -> 24 [size =\"49688576\"]\n  15 -> 25 [size =\"49688576\"]\n  15 -> 26 [size =\"49688576\"]\n  15 -> 28 [size =\"49688576\"]\n  15 -> 30 [size =\"49688576\"]\n  15 -> 30 [size =\"49688576\"]\n  16 [size=\"59582464\", alpha=\"0.10\", expect_size=\"29791232\"] \n  16 -> 23 [size =\"29791232\"]\n  16 -> 25 [size =\"29791232\"]\n  16 -> 26 [size =\"29791232\"]\n  17 [size=\"65929216\", alpha=\"0.12\", expect_size=\"32964608\"] \n  17 -> 23 [size =\"32964608\"]\n  17 -> 26 [size =\"32964608\"]\n  17 -> 26 [size =\"32964608\"]\n  17 -> 28 [size =\"32964608\"]\n  17 -> 30 [size =\"32964608\"]\n  18 [size=\"99430400\", alpha=\"0.06\", expect_size=\"49715200\"] \n  18 -> 23 [size =\"49715200\"]\n  18 -> 25 [size =\"49715200\"]\n  19 [size=\"15423488\", alpha=\"0.16\", expect_size=\"7711744\"] \n  19 -> 22 [size =\"7711744\"]\n  19 -> 23 [size =\"7711744\"]\n  19 -> 25 [size =\"7711744\"]\n  19 -> 26 [size =\"7711744\"]\n  19 -> 30 [size =\"7711744\"]\n  20 [size=\"55156736\", alpha=\"0.03\", expect_size=\"27578368\"] \n  20 -> 24 [size =\"27578368\"]\n  20 -> 25 [size =\"27578368\"]\n  21 [size=\"32956416\", alpha=\"0.04\", expect_size=\"16478208\"] \n  21 -> 24 [size =\"16478208\"]\n  21 -> 25 [size =\"16478208\"]\n  21 -> 27 [size =\"16478208\"]\n  21 -> 29 [size =\"16478208\"]\n  21 -> 30 [size =\"16478208\"]\n  22 [size=\"42291200\", alpha=\"0.07\", expect_size=\"21145600\"] \n  23 [size=\"57131008\", alpha=\"0.11\", expect_size=\"28565504\"] \n  24 [size=\"43591680\", alpha=\"0.11\", expect_size=\"21795840\"] \n  25 [size=\"17324032\", alpha=\"0.08\", expect_size=\"8662016\"] \n  26 [size=\"83984384\", alpha=\"0.17\", expect_size=\"41992192\"] \n  27 [size=\"36575232\", alpha=\"0.10\", expect_size=\"18287616\"] \n  28 [size=\"95313920\", alpha=\"0.17\", expect_size=\"47656960\"] \n  29 [size=\"28952576\", alpha=\"0.11\", expect_size=\"14476288\"] \n  30 [size=\"102176768\", alpha=\"0.18\", expect_size=\"51088384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97315840\", alpha=\"0.11\", expect_size=\"38926336\"] \n  1 -> 2 [size =\"38926336\"]\n  1 -> 3 [size =\"38926336\"]\n  2 [size=\"24860160\", alpha=\"0.03\", expect_size=\"9944064\"] \n  3 [size=\"75906560\", alpha=\"0.13\", expect_size=\"30362624\"] \n  3 -> 4 [size =\"30362624\"]\n  4 [size=\"78256640\", alpha=\"0.15\", expect_size=\"31302656\"] \n  4 -> 5 [size =\"31302656\"]\n  4 -> 6 [size =\"31302656\"]\n  5 [size=\"39385600\", alpha=\"0.12\", expect_size=\"15754240\"] \n  5 -> 7 [size =\"15754240\"]\n  6 [size=\"63306240\", alpha=\"0.18\", expect_size=\"25322496\"] \n  6 -> 7 [size =\"25322496\"]\n  7 [size=\"80860160\", alpha=\"0.02\", expect_size=\"32344064\"] \n  7 -> 8 [size =\"32344064\"]\n  8 [size=\"106639360\", alpha=\"0.14\", expect_size=\"42655744\"] \n  8 -> 9 [size =\"42655744\"]\n  9 [size=\"102950400\", alpha=\"0.11\", expect_size=\"41180160\"] \n  9 -> 10 [size =\"41180160\"]\n  10 [size=\"25999360\", alpha=\"0.09\", expect_size=\"10399744\"] \n  10 -> 11 [size =\"10399744\"]\n  10 -> 12 [size =\"10399744\"]\n  11 [size=\"98452480\", alpha=\"0.06\", expect_size=\"39380992\"] \n  11 -> 13 [size =\"39380992\"]\n  12 [size=\"42903040\", alpha=\"0.09\", expect_size=\"17161216\"] \n  13 [size=\"58344960\", alpha=\"0.03\", expect_size=\"23337984\"] \n  13 -> 14 [size =\"23337984\"]\n  14 [size=\"18360320\", alpha=\"0.11\", expect_size=\"7344128\"] \n  14 -> 15 [size =\"7344128\"]\n  15 [size=\"109125120\", alpha=\"0.01\", expect_size=\"43650048\"] \n  15 -> 16 [size =\"43650048\"]\n  15 -> 17 [size =\"43650048\"]\n  16 [size=\"61944320\", alpha=\"0.14\", expect_size=\"24777728\"] \n  16 -> 18 [size =\"24777728\"]\n  16 -> 19 [size =\"24777728\"]\n  17 [size=\"50539520\", alpha=\"0.04\", expect_size=\"20215808\"] \n  18 [size=\"61652480\", alpha=\"0.03\", expect_size=\"24660992\"] \n  18 -> 21 [size =\"24660992\"]\n  19 [size=\"28940800\", alpha=\"0.15\", expect_size=\"11576320\"] \n  19 -> 20 [size =\"11576320\"]\n  20 [size=\"91161600\", alpha=\"0.00\", expect_size=\"36464640\"] \n  20 -> 22 [size =\"36464640\"]\n  20 -> 23 [size =\"36464640\"]\n  21 [size=\"27630080\", alpha=\"0.19\", expect_size=\"11052032\"] \n  21 -> 22 [size =\"11052032\"]\n  21 -> 23 [size =\"11052032\"]\n  22 [size=\"61550080\", alpha=\"0.01\", expect_size=\"24620032\"] \n  22 -> 24 [size =\"24620032\"]\n  23 [size=\"112371200\", alpha=\"0.12\", expect_size=\"44948480\"] \n  24 [size=\"128135680\", alpha=\"0.15\", expect_size=\"51254272\"] \n  24 -> 25 [size =\"51254272\"]\n  24 -> 26 [size =\"51254272\"]\n  25 [size=\"75110400\", alpha=\"0.03\", expect_size=\"30044160\"] \n  25 -> 27 [size =\"30044160\"]\n  26 [size=\"80087040\", alpha=\"0.18\", expect_size=\"32034816\"] \n  26 -> 27 [size =\"32034816\"]\n  26 -> 28 [size =\"32034816\"]\n  27 [size=\"44943360\", alpha=\"0.06\", expect_size=\"17977344\"] \n  27 -> 29 [size =\"17977344\"]\n  27 -> 30 [size =\"17977344\"]\n  28 [size=\"68006400\", alpha=\"0.09\", expect_size=\"27202560\"] \n  28 -> 29 [size =\"27202560\"]\n  28 -> 30 [size =\"27202560\"]\n  29 [size=\"82959360\", alpha=\"0.07\", expect_size=\"33183744\"] \n  30 [size=\"55098880\", alpha=\"0.08\", expect_size=\"22039552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87801173\", alpha=\"0.07\", expect_size=\"26340352\"] \n  1 -> 2 [size =\"26340352\"]\n  1 -> 3 [size =\"26340352\"]\n  2 [size=\"114530987\", alpha=\"0.09\", expect_size=\"34359296\"] \n  2 -> 4 [size =\"34359296\"]\n  3 [size=\"113524053\", alpha=\"0.14\", expect_size=\"34057216\"] \n  3 -> 4 [size =\"34057216\"]\n  4 [size=\"122579627\", alpha=\"0.14\", expect_size=\"36773888\"] \n  4 -> 5 [size =\"36773888\"]\n  5 [size=\"151347200\", alpha=\"0.05\", expect_size=\"45404160\"] \n  5 -> 6 [size =\"45404160\"]\n  5 -> 7 [size =\"45404160\"]\n  6 [size=\"169117013\", alpha=\"0.00\", expect_size=\"50735104\"] \n  6 -> 8 [size =\"50735104\"]\n  7 [size=\"160945493\", alpha=\"0.05\", expect_size=\"48283648\"] \n  7 -> 8 [size =\"48283648\"]\n  8 [size=\"45438293\", alpha=\"0.06\", expect_size=\"13631488\"] \n  8 -> 9 [size =\"13631488\"]\n  8 -> 10 [size =\"13631488\"]\n  9 [size=\"75902293\", alpha=\"0.11\", expect_size=\"22770688\"] \n  9 -> 11 [size =\"22770688\"]\n  9 -> 12 [size =\"22770688\"]\n  10 [size=\"19613013\", alpha=\"0.10\", expect_size=\"5883904\"] \n  10 -> 11 [size =\"5883904\"]\n  11 [size=\"76991147\", alpha=\"0.19\", expect_size=\"23097344\"] \n  11 -> 13 [size =\"23097344\"]\n  12 [size=\"131915093\", alpha=\"0.01\", expect_size=\"39574528\"] \n  12 -> 14 [size =\"39574528\"]\n  13 [size=\"47066453\", alpha=\"0.08\", expect_size=\"14119936\"] \n  14 [size=\"155644587\", alpha=\"0.02\", expect_size=\"46693376\"] \n  14 -> 15 [size =\"46693376\"]\n  14 -> 16 [size =\"46693376\"]\n  15 [size=\"106748587\", alpha=\"0.05\", expect_size=\"32024576\"] \n  16 [size=\"148063573\", alpha=\"0.19\", expect_size=\"44419072\"] \n  16 -> 17 [size =\"44419072\"]\n  17 [size=\"148858880\", alpha=\"0.11\", expect_size=\"44657664\"] \n  17 -> 18 [size =\"44657664\"]\n  18 [size=\"30409387\", alpha=\"0.11\", expect_size=\"9122816\"] \n  18 -> 19 [size =\"9122816\"]\n  19 [size=\"81500160\", alpha=\"0.15\", expect_size=\"24450048\"] \n  19 -> 20 [size =\"24450048\"]\n  20 [size=\"166877867\", alpha=\"0.17\", expect_size=\"50063360\"] \n  20 -> 21 [size =\"50063360\"]\n  21 [size=\"86609920\", alpha=\"0.07\", expect_size=\"25982976\"] \n  21 -> 22 [size =\"25982976\"]\n  22 [size=\"76482560\", alpha=\"0.10\", expect_size=\"22944768\"] \n  22 -> 23 [size =\"22944768\"]\n  23 [size=\"82633387\", alpha=\"0.05\", expect_size=\"24790016\"] \n  23 -> 24 [size =\"24790016\"]\n  23 -> 25 [size =\"24790016\"]\n  24 [size=\"145947307\", alpha=\"0.13\", expect_size=\"43784192\"] \n  24 -> 26 [size =\"43784192\"]\n  24 -> 27 [size =\"43784192\"]\n  25 [size=\"160887467\", alpha=\"0.18\", expect_size=\"48266240\"] \n  25 -> 26 [size =\"48266240\"]\n  25 -> 27 [size =\"48266240\"]\n  26 [size=\"44974080\", alpha=\"0.03\", expect_size=\"13492224\"] \n  26 -> 28 [size =\"13492224\"]\n  26 -> 29 [size =\"13492224\"]\n  27 [size=\"38997333\", alpha=\"0.06\", expect_size=\"11699200\"] \n  27 -> 28 [size =\"11699200\"]\n  27 -> 29 [size =\"11699200\"]\n  28 [size=\"122009600\", alpha=\"0.12\", expect_size=\"36602880\"] \n  29 [size=\"48479573\", alpha=\"0.06\", expect_size=\"14543872\"] \n  29 -> 30 [size =\"14543872\"]\n  30 [size=\"169652907\", alpha=\"0.20\", expect_size=\"50895872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110658560\", alpha=\"0.01\", expect_size=\"44263424\"] \n  1 -> 9 [size =\"44263424\"]\n  2 [size=\"43087360\", alpha=\"0.15\", expect_size=\"17234944\"] \n  2 -> 6 [size =\"17234944\"]\n  2 -> 7 [size =\"17234944\"]\n  2 -> 9 [size =\"17234944\"]\n  3 [size=\"92533760\", alpha=\"0.03\", expect_size=\"37013504\"] \n  3 -> 9 [size =\"37013504\"]\n  4 [size=\"80501760\", alpha=\"0.14\", expect_size=\"32200704\"] \n  4 -> 6 [size =\"32200704\"]\n  4 -> 7 [size =\"32200704\"]\n  4 -> 9 [size =\"32200704\"]\n  5 [size=\"102581760\", alpha=\"0.11\", expect_size=\"41032704\"] \n  5 -> 6 [size =\"41032704\"]\n  5 -> 8 [size =\"41032704\"]\n  6 [size=\"111841280\", alpha=\"0.11\", expect_size=\"44736512\"] \n  6 -> 10 [size =\"44736512\"]\n  6 -> 11 [size =\"44736512\"]\n  6 -> 13 [size =\"44736512\"]\n  7 [size=\"77324800\", alpha=\"0.20\", expect_size=\"30929920\"] \n  7 -> 11 [size =\"30929920\"]\n  7 -> 12 [size =\"30929920\"]\n  7 -> 13 [size =\"30929920\"]\n  8 [size=\"16289280\", alpha=\"0.08\", expect_size=\"6515712\"] \n  8 -> 12 [size =\"6515712\"]\n  9 [size=\"80138240\", alpha=\"0.13\", expect_size=\"32055296\"] \n  9 -> 11 [size =\"32055296\"]\n  9 -> 12 [size =\"32055296\"]\n  9 -> 13 [size =\"32055296\"]\n  10 [size=\"34173440\", alpha=\"0.14\", expect_size=\"13669376\"] \n  10 -> 15 [size =\"13669376\"]\n  10 -> 16 [size =\"13669376\"]\n  10 -> 17 [size =\"13669376\"]\n  11 [size=\"122227200\", alpha=\"0.05\", expect_size=\"48890880\"] \n  11 -> 16 [size =\"48890880\"]\n  11 -> 16 [size =\"48890880\"]\n  11 -> 17 [size =\"48890880\"]\n  11 -> 18 [size =\"48890880\"]\n  12 [size=\"125588480\", alpha=\"0.17\", expect_size=\"50235392\"] \n  12 -> 14 [size =\"50235392\"]\n  13 [size=\"94023680\", alpha=\"0.00\", expect_size=\"37609472\"] \n  13 -> 15 [size =\"37609472\"]\n  13 -> 16 [size =\"37609472\"]\n  13 -> 17 [size =\"37609472\"]\n  13 -> 18 [size =\"37609472\"]\n  14 [size=\"110735360\", alpha=\"0.04\", expect_size=\"44294144\"] \n  14 -> 20 [size =\"44294144\"]\n  15 [size=\"75937280\", alpha=\"0.04\", expect_size=\"30374912\"] \n  15 -> 19 [size =\"30374912\"]\n  15 -> 20 [size =\"30374912\"]\n  15 -> 21 [size =\"30374912\"]\n  15 -> 22 [size =\"30374912\"]\n  16 [size=\"21770240\", alpha=\"0.05\", expect_size=\"8708096\"] \n  16 -> 21 [size =\"8708096\"]\n  16 -> 22 [size =\"8708096\"]\n  17 [size=\"87708160\", alpha=\"0.12\", expect_size=\"35083264\"] \n  17 -> 20 [size =\"35083264\"]\n  17 -> 22 [size =\"35083264\"]\n  18 [size=\"85511680\", alpha=\"0.18\", expect_size=\"34204672\"] \n  18 -> 20 [size =\"34204672\"]\n  18 -> 21 [size =\"34204672\"]\n  18 -> 22 [size =\"34204672\"]\n  19 [size=\"129927680\", alpha=\"0.11\", expect_size=\"51971072\"] \n  19 -> 23 [size =\"51971072\"]\n  19 -> 24 [size =\"51971072\"]\n  19 -> 26 [size =\"51971072\"]\n  20 [size=\"89884160\", alpha=\"0.12\", expect_size=\"35953664\"] \n  20 -> 24 [size =\"35953664\"]\n  20 -> 25 [size =\"35953664\"]\n  21 [size=\"55718400\", alpha=\"0.10\", expect_size=\"22287360\"] \n  21 -> 23 [size =\"22287360\"]\n  21 -> 24 [size =\"22287360\"]\n  21 -> 25 [size =\"22287360\"]\n  21 -> 26 [size =\"22287360\"]\n  22 [size=\"86835200\", alpha=\"0.12\", expect_size=\"34734080\"] \n  22 -> 23 [size =\"34734080\"]\n  22 -> 25 [size =\"34734080\"]\n  22 -> 26 [size =\"34734080\"]\n  22 -> 26 [size =\"34734080\"]\n  23 [size=\"68738560\", alpha=\"0.09\", expect_size=\"27495424\"] \n  23 -> 27 [size =\"27495424\"]\n  23 -> 28 [size =\"27495424\"]\n  23 -> 30 [size =\"27495424\"]\n  24 [size=\"70594560\", alpha=\"0.16\", expect_size=\"28237824\"] \n  24 -> 27 [size =\"28237824\"]\n  24 -> 29 [size =\"28237824\"]\n  24 -> 30 [size =\"28237824\"]\n  25 [size=\"91509760\", alpha=\"0.19\", expect_size=\"36603904\"] \n  25 -> 27 [size =\"36603904\"]\n  25 -> 29 [size =\"36603904\"]\n  25 -> 30 [size =\"36603904\"]\n  26 [size=\"112273920\", alpha=\"0.19\", expect_size=\"44909568\"] \n  26 -> 27 [size =\"44909568\"]\n  26 -> 29 [size =\"44909568\"]\n  26 -> 30 [size =\"44909568\"]\n  27 [size=\"24350720\", alpha=\"0.09\", expect_size=\"9740288\"] \n  28 [size=\"97431040\", alpha=\"0.00\", expect_size=\"38972416\"] \n  29 [size=\"87907840\", alpha=\"0.03\", expect_size=\"35163136\"] \n  30 [size=\"33681920\", alpha=\"0.09\", expect_size=\"13472768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144384000\", alpha=\"0.19\", expect_size=\"43315200\"] \n  1 -> 11 [size =\"43315200\"]\n  1 -> 12 [size =\"43315200\"]\n  1 -> 16 [size =\"43315200\"]\n  1 -> 18 [size =\"43315200\"]\n  1 -> 20 [size =\"43315200\"]\n  2 [size=\"83411627\", alpha=\"0.04\", expect_size=\"25023488\"] \n  2 -> 12 [size =\"25023488\"]\n  2 -> 16 [size =\"25023488\"]\n  2 -> 17 [size =\"25023488\"]\n  2 -> 18 [size =\"25023488\"]\n  2 -> 20 [size =\"25023488\"]\n  3 [size=\"139533653\", alpha=\"0.01\", expect_size=\"41860096\"] \n  3 -> 11 [size =\"41860096\"]\n  3 -> 12 [size =\"41860096\"]\n  3 -> 13 [size =\"41860096\"]\n  3 -> 16 [size =\"41860096\"]\n  3 -> 17 [size =\"41860096\"]\n  3 -> 18 [size =\"41860096\"]\n  3 -> 20 [size =\"41860096\"]\n  4 [size=\"61637973\", alpha=\"0.11\", expect_size=\"18491392\"] \n  4 -> 12 [size =\"18491392\"]\n  4 -> 14 [size =\"18491392\"]\n  4 -> 16 [size =\"18491392\"]\n  4 -> 18 [size =\"18491392\"]\n  4 -> 19 [size =\"18491392\"]\n  4 -> 20 [size =\"18491392\"]\n  5 [size=\"86626987\", alpha=\"0.02\", expect_size=\"25988096\"] \n  5 -> 11 [size =\"25988096\"]\n  5 -> 12 [size =\"25988096\"]\n  5 -> 13 [size =\"25988096\"]\n  5 -> 18 [size =\"25988096\"]\n  5 -> 19 [size =\"25988096\"]\n  5 -> 20 [size =\"25988096\"]\n  6 [size=\"110093653\", alpha=\"0.13\", expect_size=\"33028096\"] \n  6 -> 11 [size =\"33028096\"]\n  6 -> 12 [size =\"33028096\"]\n  6 -> 13 [size =\"33028096\"]\n  6 -> 15 [size =\"33028096\"]\n  6 -> 17 [size =\"33028096\"]\n  7 [size=\"56989013\", alpha=\"0.01\", expect_size=\"17096704\"] \n  7 -> 11 [size =\"17096704\"]\n  7 -> 12 [size =\"17096704\"]\n  7 -> 13 [size =\"17096704\"]\n  7 -> 14 [size =\"17096704\"]\n  7 -> 15 [size =\"17096704\"]\n  7 -> 17 [size =\"17096704\"]\n  8 [size=\"98314240\", alpha=\"0.18\", expect_size=\"29494272\"] \n  8 -> 11 [size =\"29494272\"]\n  8 -> 13 [size =\"29494272\"]\n  8 -> 16 [size =\"29494272\"]\n  8 -> 17 [size =\"29494272\"]\n  8 -> 18 [size =\"29494272\"]\n  8 -> 19 [size =\"29494272\"]\n  8 -> 20 [size =\"29494272\"]\n  9 [size=\"131642027\", alpha=\"0.12\", expect_size=\"39492608\"] \n  9 -> 11 [size =\"39492608\"]\n  9 -> 16 [size =\"39492608\"]\n  9 -> 16 [size =\"39492608\"]\n  9 -> 18 [size =\"39492608\"]\n  9 -> 19 [size =\"39492608\"]\n  9 -> 20 [size =\"39492608\"]\n  10 [size=\"94112427\", alpha=\"0.00\", expect_size=\"28233728\"] \n  10 -> 11 [size =\"28233728\"]\n  10 -> 12 [size =\"28233728\"]\n  10 -> 13 [size =\"28233728\"]\n  10 -> 14 [size =\"28233728\"]\n  10 -> 15 [size =\"28233728\"]\n  10 -> 16 [size =\"28233728\"]\n  10 -> 18 [size =\"28233728\"]\n  10 -> 20 [size =\"28233728\"]\n  11 [size=\"55514453\", alpha=\"0.10\", expect_size=\"16654336\"] \n  11 -> 22 [size =\"16654336\"]\n  11 -> 29 [size =\"16654336\"]\n  12 [size=\"51312640\", alpha=\"0.03\", expect_size=\"15393792\"] \n  12 -> 21 [size =\"15393792\"]\n  12 -> 22 [size =\"15393792\"]\n  12 -> 23 [size =\"15393792\"]\n  12 -> 24 [size =\"15393792\"]\n  12 -> 26 [size =\"15393792\"]\n  12 -> 29 [size =\"15393792\"]\n  13 [size=\"83319467\", alpha=\"0.12\", expect_size=\"24995840\"] \n  13 -> 23 [size =\"24995840\"]\n  13 -> 25 [size =\"24995840\"]\n  13 -> 26 [size =\"24995840\"]\n  13 -> 29 [size =\"24995840\"]\n  14 [size=\"89876480\", alpha=\"0.15\", expect_size=\"26962944\"] \n  14 -> 22 [size =\"26962944\"]\n  14 -> 23 [size =\"26962944\"]\n  14 -> 28 [size =\"26962944\"]\n  14 -> 29 [size =\"26962944\"]\n  15 [size=\"22036480\", alpha=\"0.19\", expect_size=\"6610944\"] \n  15 -> 21 [size =\"6610944\"]\n  15 -> 22 [size =\"6610944\"]\n  15 -> 27 [size =\"6610944\"]\n  15 -> 29 [size =\"6610944\"]\n  16 [size=\"37836800\", alpha=\"0.12\", expect_size=\"11351040\"] \n  16 -> 21 [size =\"11351040\"]\n  16 -> 22 [size =\"11351040\"]\n  16 -> 24 [size =\"11351040\"]\n  16 -> 29 [size =\"11351040\"]\n  17 [size=\"141598720\", alpha=\"0.18\", expect_size=\"42479616\"] \n  17 -> 21 [size =\"42479616\"]\n  17 -> 23 [size =\"42479616\"]\n  17 -> 24 [size =\"42479616\"]\n  17 -> 27 [size =\"42479616\"]\n  17 -> 28 [size =\"42479616\"]\n  18 [size=\"146329600\", alpha=\"0.14\", expect_size=\"43898880\"] \n  18 -> 22 [size =\"43898880\"]\n  18 -> 23 [size =\"43898880\"]\n  18 -> 24 [size =\"43898880\"]\n  18 -> 26 [size =\"43898880\"]\n  18 -> 28 [size =\"43898880\"]\n  18 -> 29 [size =\"43898880\"]\n  19 [size=\"128389120\", alpha=\"0.02\", expect_size=\"38516736\"] \n  19 -> 22 [size =\"38516736\"]\n  19 -> 23 [size =\"38516736\"]\n  19 -> 24 [size =\"38516736\"]\n  19 -> 28 [size =\"38516736\"]\n  19 -> 29 [size =\"38516736\"]\n  20 [size=\"69225813\", alpha=\"0.04\", expect_size=\"20767744\"] \n  20 -> 22 [size =\"20767744\"]\n  20 -> 24 [size =\"20767744\"]\n  20 -> 24 [size =\"20767744\"]\n  20 -> 27 [size =\"20767744\"]\n  20 -> 28 [size =\"20767744\"]\n  20 -> 29 [size =\"20767744\"]\n  21 [size=\"71584427\", alpha=\"0.02\", expect_size=\"21475328\"] \n  22 [size=\"151548587\", alpha=\"0.08\", expect_size=\"45464576\"] \n  23 [size=\"21766827\", alpha=\"0.10\", expect_size=\"6530048\"] \n  23 -> 30 [size =\"6530048\"]\n  24 [size=\"113588907\", alpha=\"0.17\", expect_size=\"34076672\"] \n  25 [size=\"72478720\", alpha=\"0.13\", expect_size=\"21743616\"] \n  26 [size=\"61702827\", alpha=\"0.01\", expect_size=\"18510848\"] \n  26 -> 30 [size =\"18510848\"]\n  27 [size=\"152630613\", alpha=\"0.14\", expect_size=\"45789184\"] \n  27 -> 30 [size =\"45789184\"]\n  28 [size=\"137311573\", alpha=\"0.17\", expect_size=\"41193472\"] \n  29 [size=\"88746667\", alpha=\"0.15\", expect_size=\"26624000\"] \n  29 -> 30 [size =\"26624000\"]\n  30 [size=\"108226560\", alpha=\"0.02\", expect_size=\"32467968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42846208\", alpha=\"0.11\", expect_size=\"21423104\"] \n  1 -> 2 [size =\"21423104\"]\n  2 [size=\"89505792\", alpha=\"0.14\", expect_size=\"44752896\"] \n  2 -> 3 [size =\"44752896\"]\n  3 [size=\"35975168\", alpha=\"0.04\", expect_size=\"17987584\"] \n  3 -> 4 [size =\"17987584\"]\n  4 [size=\"14739456\", alpha=\"0.10\", expect_size=\"7369728\"] \n  4 -> 5 [size =\"7369728\"]\n  5 [size=\"36440064\", alpha=\"0.08\", expect_size=\"18220032\"] \n  5 -> 6 [size =\"18220032\"]\n  6 [size=\"49182720\", alpha=\"0.14\", expect_size=\"24591360\"] \n  6 -> 7 [size =\"24591360\"]\n  7 [size=\"69758976\", alpha=\"0.02\", expect_size=\"34879488\"] \n  7 -> 8 [size =\"34879488\"]\n  8 [size=\"49715200\", alpha=\"0.05\", expect_size=\"24857600\"] \n  8 -> 9 [size =\"24857600\"]\n  9 [size=\"55617536\", alpha=\"0.14\", expect_size=\"27808768\"] \n  9 -> 10 [size =\"27808768\"]\n  10 [size=\"27629568\", alpha=\"0.02\", expect_size=\"13814784\"] \n  10 -> 11 [size =\"13814784\"]\n  11 [size=\"79990784\", alpha=\"0.10\", expect_size=\"39995392\"] \n  11 -> 12 [size =\"39995392\"]\n  12 [size=\"35512320\", alpha=\"0.05\", expect_size=\"17756160\"] \n  12 -> 13 [size =\"17756160\"]\n  13 [size=\"101804032\", alpha=\"0.04\", expect_size=\"50902016\"] \n  13 -> 14 [size =\"50902016\"]\n  14 [size=\"27267072\", alpha=\"0.01\", expect_size=\"13633536\"] \n  14 -> 15 [size =\"13633536\"]\n  15 [size=\"74752000\", alpha=\"0.14\", expect_size=\"37376000\"] \n  15 -> 16 [size =\"37376000\"]\n  16 [size=\"16705536\", alpha=\"0.17\", expect_size=\"8352768\"] \n  16 -> 17 [size =\"8352768\"]\n  17 [size=\"81297408\", alpha=\"0.00\", expect_size=\"40648704\"] \n  17 -> 18 [size =\"40648704\"]\n  18 [size=\"90048512\", alpha=\"0.18\", expect_size=\"45024256\"] \n  18 -> 19 [size =\"45024256\"]\n  19 [size=\"18710528\", alpha=\"0.15\", expect_size=\"9355264\"] \n  19 -> 20 [size =\"9355264\"]\n  20 [size=\"85680128\", alpha=\"0.08\", expect_size=\"42840064\"] \n  20 -> 21 [size =\"42840064\"]\n  21 [size=\"96212992\", alpha=\"0.08\", expect_size=\"48106496\"] \n  21 -> 22 [size =\"48106496\"]\n  22 [size=\"48021504\", alpha=\"0.04\", expect_size=\"24010752\"] \n  22 -> 23 [size =\"24010752\"]\n  23 [size=\"72460288\", alpha=\"0.06\", expect_size=\"36230144\"] \n  23 -> 24 [size =\"36230144\"]\n  24 [size=\"93249536\", alpha=\"0.08\", expect_size=\"46624768\"] \n  24 -> 25 [size =\"46624768\"]\n  25 [size=\"97988608\", alpha=\"0.16\", expect_size=\"48994304\"] \n  25 -> 26 [size =\"48994304\"]\n  26 [size=\"71495680\", alpha=\"0.13\", expect_size=\"35747840\"] \n  26 -> 27 [size =\"35747840\"]\n  27 [size=\"59246592\", alpha=\"0.02\", expect_size=\"29623296\"] \n  27 -> 28 [size =\"29623296\"]\n  28 [size=\"59332608\", alpha=\"0.19\", expect_size=\"29666304\"] \n  28 -> 29 [size =\"29666304\"]\n  29 [size=\"49090560\", alpha=\"0.06\", expect_size=\"24545280\"] \n  29 -> 30 [size =\"24545280\"]\n  30 [size=\"26595328\", alpha=\"0.16\", expect_size=\"13297664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37337600\", alpha=\"0.08\", expect_size=\"14935040\"] \n  1 -> 21 [size =\"14935040\"]\n  1 -> 28 [size =\"14935040\"]\n  1 -> 29 [size =\"14935040\"]\n  1 -> 30 [size =\"14935040\"]\n  2 [size=\"122327040\", alpha=\"0.20\", expect_size=\"48930816\"] \n  2 -> 21 [size =\"48930816\"]\n  2 -> 24 [size =\"48930816\"]\n  2 -> 25 [size =\"48930816\"]\n  2 -> 26 [size =\"48930816\"]\n  2 -> 28 [size =\"48930816\"]\n  3 [size=\"59028480\", alpha=\"0.19\", expect_size=\"23611392\"] \n  3 -> 21 [size =\"23611392\"]\n  3 -> 22 [size =\"23611392\"]\n  3 -> 23 [size =\"23611392\"]\n  3 -> 25 [size =\"23611392\"]\n  3 -> 29 [size =\"23611392\"]\n  4 [size=\"39802880\", alpha=\"0.12\", expect_size=\"15921152\"] \n  4 -> 21 [size =\"15921152\"]\n  4 -> 29 [size =\"15921152\"]\n  5 [size=\"62784000\", alpha=\"0.02\", expect_size=\"25113600\"] \n  5 -> 21 [size =\"25113600\"]\n  5 -> 25 [size =\"25113600\"]\n  5 -> 26 [size =\"25113600\"]\n  5 -> 29 [size =\"25113600\"]\n  6 [size=\"99617280\", alpha=\"0.08\", expect_size=\"39846912\"] \n  6 -> 21 [size =\"39846912\"]\n  6 -> 25 [size =\"39846912\"]\n  6 -> 26 [size =\"39846912\"]\n  6 -> 28 [size =\"39846912\"]\n  6 -> 29 [size =\"39846912\"]\n  6 -> 30 [size =\"39846912\"]\n  7 [size=\"51729920\", alpha=\"0.15\", expect_size=\"20691968\"] \n  7 -> 26 [size =\"20691968\"]\n  7 -> 28 [size =\"20691968\"]\n  7 -> 29 [size =\"20691968\"]\n  7 -> 30 [size =\"20691968\"]\n  8 [size=\"65510400\", alpha=\"0.03\", expect_size=\"26204160\"] \n  8 -> 21 [size =\"26204160\"]\n  8 -> 26 [size =\"26204160\"]\n  8 -> 28 [size =\"26204160\"]\n  9 [size=\"21463040\", alpha=\"0.05\", expect_size=\"8585216\"] \n  9 -> 21 [size =\"8585216\"]\n  9 -> 23 [size =\"8585216\"]\n  9 -> 26 [size =\"8585216\"]\n  10 [size=\"58337280\", alpha=\"0.11\", expect_size=\"23334912\"] \n  10 -> 21 [size =\"23334912\"]\n  10 -> 26 [size =\"23334912\"]\n  10 -> 30 [size =\"23334912\"]\n  11 [size=\"108956160\", alpha=\"0.11\", expect_size=\"43582464\"] \n  11 -> 21 [size =\"43582464\"]\n  11 -> 25 [size =\"43582464\"]\n  11 -> 26 [size =\"43582464\"]\n  12 [size=\"40125440\", alpha=\"0.19\", expect_size=\"16050176\"] \n  12 -> 21 [size =\"16050176\"]\n  12 -> 23 [size =\"16050176\"]\n  12 -> 26 [size =\"16050176\"]\n  12 -> 30 [size =\"16050176\"]\n  13 [size=\"37368320\", alpha=\"0.19\", expect_size=\"14947328\"] \n  13 -> 21 [size =\"14947328\"]\n  13 -> 23 [size =\"14947328\"]\n  13 -> 25 [size =\"14947328\"]\n  13 -> 26 [size =\"14947328\"]\n  14 [size=\"33917440\", alpha=\"0.03\", expect_size=\"13566976\"] \n  14 -> 21 [size =\"13566976\"]\n  14 -> 26 [size =\"13566976\"]\n  15 [size=\"107169280\", alpha=\"0.00\", expect_size=\"42867712\"] \n  15 -> 25 [size =\"42867712\"]\n  15 -> 26 [size =\"42867712\"]\n  15 -> 28 [size =\"42867712\"]\n  16 [size=\"121804800\", alpha=\"0.19\", expect_size=\"48721920\"] \n  16 -> 21 [size =\"48721920\"]\n  16 -> 25 [size =\"48721920\"]\n  16 -> 29 [size =\"48721920\"]\n  17 [size=\"51530240\", alpha=\"0.07\", expect_size=\"20612096\"] \n  17 -> 21 [size =\"20612096\"]\n  17 -> 23 [size =\"20612096\"]\n  17 -> 25 [size =\"20612096\"]\n  17 -> 26 [size =\"20612096\"]\n  17 -> 29 [size =\"20612096\"]\n  18 [size=\"22471680\", alpha=\"0.10\", expect_size=\"8988672\"] \n  18 -> 21 [size =\"8988672\"]\n  18 -> 26 [size =\"8988672\"]\n  18 -> 29 [size =\"8988672\"]\n  19 [size=\"42124800\", alpha=\"0.13\", expect_size=\"16849920\"] \n  19 -> 26 [size =\"16849920\"]\n  20 [size=\"71989760\", alpha=\"0.01\", expect_size=\"28795904\"] \n  20 -> 24 [size =\"28795904\"]\n  20 -> 25 [size =\"28795904\"]\n  20 -> 26 [size =\"28795904\"]\n  20 -> 27 [size =\"28795904\"]\n  20 -> 28 [size =\"28795904\"]\n  20 -> 29 [size =\"28795904\"]\n  21 [size=\"18283520\", alpha=\"0.13\", expect_size=\"7313408\"] \n  22 [size=\"83624960\", alpha=\"0.03\", expect_size=\"33449984\"] \n  23 [size=\"80348160\", alpha=\"0.02\", expect_size=\"32139264\"] \n  24 [size=\"76037120\", alpha=\"0.04\", expect_size=\"30414848\"] \n  25 [size=\"94899200\", alpha=\"0.16\", expect_size=\"37959680\"] \n  26 [size=\"96803840\", alpha=\"0.02\", expect_size=\"38721536\"] \n  27 [size=\"88240640\", alpha=\"0.14\", expect_size=\"35296256\"] \n  28 [size=\"128755200\", alpha=\"0.16\", expect_size=\"51502080\"] \n  29 [size=\"71672320\", alpha=\"0.18\", expect_size=\"28668928\"] \n  30 [size=\"28464640\", alpha=\"0.09\", expect_size=\"11385856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112274773\", alpha=\"0.01\", expect_size=\"33682432\"] \n  2 [size=\"67464533\", alpha=\"0.13\", expect_size=\"20239360\"] \n  2 -> 5 [size =\"20239360\"]\n  2 -> 6 [size =\"20239360\"]\n  2 -> 7 [size =\"20239360\"]\n  3 [size=\"173561173\", alpha=\"0.08\", expect_size=\"52068352\"] \n  3 -> 8 [size =\"52068352\"]\n  4 [size=\"123054080\", alpha=\"0.08\", expect_size=\"36916224\"] \n  4 -> 6 [size =\"36916224\"]\n  4 -> 7 [size =\"36916224\"]\n  5 [size=\"134205440\", alpha=\"0.18\", expect_size=\"40261632\"] \n  5 -> 9 [size =\"40261632\"]\n  5 -> 12 [size =\"40261632\"]\n  5 -> 13 [size =\"40261632\"]\n  6 [size=\"28368213\", alpha=\"0.19\", expect_size=\"8510464\"] \n  6 -> 9 [size =\"8510464\"]\n  7 [size=\"165157547\", alpha=\"0.14\", expect_size=\"49547264\"] \n  7 -> 10 [size =\"49547264\"]\n  8 [size=\"33955840\", alpha=\"0.02\", expect_size=\"10186752\"] \n  8 -> 9 [size =\"10186752\"]\n  8 -> 11 [size =\"10186752\"]\n  8 -> 13 [size =\"10186752\"]\n  9 [size=\"64788480\", alpha=\"0.14\", expect_size=\"19436544\"] \n  10 [size=\"70502400\", alpha=\"0.12\", expect_size=\"21150720\"] \n  10 -> 16 [size =\"21150720\"]\n  11 [size=\"136393387\", alpha=\"0.19\", expect_size=\"40918016\"] \n  12 [size=\"143319040\", alpha=\"0.11\", expect_size=\"42995712\"] \n  12 -> 14 [size =\"42995712\"]\n  12 -> 16 [size =\"42995712\"]\n  13 [size=\"88142507\", alpha=\"0.03\", expect_size=\"26442752\"] \n  13 -> 15 [size =\"26442752\"]\n  14 [size=\"152634027\", alpha=\"0.18\", expect_size=\"45790208\"] \n  14 -> 17 [size =\"45790208\"]\n  14 -> 21 [size =\"45790208\"]\n  15 [size=\"54644053\", alpha=\"0.07\", expect_size=\"16393216\"] \n  15 -> 17 [size =\"16393216\"]\n  15 -> 21 [size =\"16393216\"]\n  16 [size=\"35973120\", alpha=\"0.04\", expect_size=\"10791936\"] \n  16 -> 18 [size =\"10791936\"]\n  16 -> 19 [size =\"10791936\"]\n  16 -> 20 [size =\"10791936\"]\n  17 [size=\"28798293\", alpha=\"0.16\", expect_size=\"8639488\"] \n  17 -> 26 [size =\"8639488\"]\n  17 -> 27 [size =\"8639488\"]\n  18 [size=\"135028053\", alpha=\"0.10\", expect_size=\"40508416\"] \n  18 -> 23 [size =\"40508416\"]\n  19 [size=\"150323200\", alpha=\"0.10\", expect_size=\"45096960\"] \n  19 -> 22 [size =\"45096960\"]\n  19 -> 23 [size =\"45096960\"]\n  20 [size=\"103314773\", alpha=\"0.02\", expect_size=\"30994432\"] \n  20 -> 24 [size =\"30994432\"]\n  20 -> 25 [size =\"30994432\"]\n  21 [size=\"37345280\", alpha=\"0.05\", expect_size=\"11203584\"] \n  21 -> 24 [size =\"11203584\"]\n  21 -> 25 [size =\"11203584\"]\n  21 -> 27 [size =\"11203584\"]\n  22 [size=\"33010347\", alpha=\"0.14\", expect_size=\"9903104\"] \n  22 -> 28 [size =\"9903104\"]\n  22 -> 29 [size =\"9903104\"]\n  23 [size=\"116872533\", alpha=\"0.03\", expect_size=\"35061760\"] \n  24 [size=\"141991253\", alpha=\"0.06\", expect_size=\"42597376\"] \n  25 [size=\"128795307\", alpha=\"0.04\", expect_size=\"38638592\"] \n  25 -> 28 [size =\"38638592\"]\n  26 [size=\"28129280\", alpha=\"0.02\", expect_size=\"8438784\"] \n  26 -> 30 [size =\"8438784\"]\n  27 [size=\"56203947\", alpha=\"0.00\", expect_size=\"16861184\"] \n  28 [size=\"27521707\", alpha=\"0.00\", expect_size=\"8256512\"] \n  29 [size=\"109199360\", alpha=\"0.06\", expect_size=\"32759808\"] \n  30 [size=\"34402987\", alpha=\"0.18\", expect_size=\"10320896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30001152\", alpha=\"0.18\", expect_size=\"15000576\"] \n  2 [size=\"40493056\", alpha=\"0.04\", expect_size=\"20246528\"] \n  3 [size=\"57571328\", alpha=\"0.17\", expect_size=\"28785664\"] \n  4 [size=\"46313472\", alpha=\"0.02\", expect_size=\"23156736\"] \n  5 [size=\"67454976\", alpha=\"0.01\", expect_size=\"33727488\"] \n  6 [size=\"83859456\", alpha=\"0.11\", expect_size=\"41929728\"] \n  7 [size=\"65183744\", alpha=\"0.19\", expect_size=\"32591872\"] \n  8 [size=\"15192064\", alpha=\"0.18\", expect_size=\"7596032\"] \n  8 -> 30 [size =\"7596032\"]\n  9 [size=\"61984768\", alpha=\"0.06\", expect_size=\"30992384\"] \n  10 [size=\"87298048\", alpha=\"0.04\", expect_size=\"43649024\"] \n  11 [size=\"52090880\", alpha=\"0.17\", expect_size=\"26045440\"] \n  12 [size=\"43689984\", alpha=\"0.10\", expect_size=\"21844992\"] \n  13 [size=\"61564928\", alpha=\"0.15\", expect_size=\"30782464\"] \n  14 [size=\"45811712\", alpha=\"0.04\", expect_size=\"22905856\"] \n  14 -> 30 [size =\"22905856\"]\n  15 [size=\"54489088\", alpha=\"0.10\", expect_size=\"27244544\"] \n  15 -> 30 [size =\"27244544\"]\n  16 [size=\"57339904\", alpha=\"0.15\", expect_size=\"28669952\"] \n  17 [size=\"15941632\", alpha=\"0.15\", expect_size=\"7970816\"] \n  18 [size=\"13125632\", alpha=\"0.13\", expect_size=\"6562816\"] \n  19 [size=\"97366016\", alpha=\"0.05\", expect_size=\"48683008\"] \n  20 [size=\"29868032\", alpha=\"0.11\", expect_size=\"14934016\"] \n  20 -> 30 [size =\"14934016\"]\n  21 [size=\"48488448\", alpha=\"0.02\", expect_size=\"24244224\"] \n  21 -> 30 [size =\"24244224\"]\n  22 [size=\"36560896\", alpha=\"0.19\", expect_size=\"18280448\"] \n  23 [size=\"85088256\", alpha=\"0.06\", expect_size=\"42544128\"] \n  24 [size=\"59338752\", alpha=\"0.00\", expect_size=\"29669376\"] \n  25 [size=\"76163072\", alpha=\"0.07\", expect_size=\"38081536\"] \n  26 [size=\"29593600\", alpha=\"0.09\", expect_size=\"14796800\"] \n  27 [size=\"102121472\", alpha=\"0.03\", expect_size=\"51060736\"] \n  27 -> 30 [size =\"51060736\"]\n  28 [size=\"79112192\", alpha=\"0.17\", expect_size=\"39556096\"] \n  29 [size=\"47659008\", alpha=\"0.03\", expect_size=\"23829504\"] \n  30 [size=\"69242880\", alpha=\"0.05\", expect_size=\"34621440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45893120\", alpha=\"0.08\", expect_size=\"18357248\"] \n  1 -> 6 [size =\"18357248\"]\n  1 -> 8 [size =\"18357248\"]\n  2 [size=\"54407680\", alpha=\"0.15\", expect_size=\"21763072\"] \n  2 -> 6 [size =\"21763072\"]\n  2 -> 8 [size =\"21763072\"]\n  2 -> 9 [size =\"21763072\"]\n  3 [size=\"35883520\", alpha=\"0.15\", expect_size=\"14353408\"] \n  3 -> 6 [size =\"14353408\"]\n  3 -> 7 [size =\"14353408\"]\n  3 -> 8 [size =\"14353408\"]\n  3 -> 9 [size =\"14353408\"]\n  4 [size=\"59166720\", alpha=\"0.13\", expect_size=\"23666688\"] \n  4 -> 6 [size =\"23666688\"]\n  4 -> 7 [size =\"23666688\"]\n  4 -> 8 [size =\"23666688\"]\n  4 -> 9 [size =\"23666688\"]\n  5 [size=\"58086400\", alpha=\"0.02\", expect_size=\"23234560\"] \n  5 -> 6 [size =\"23234560\"]\n  5 -> 7 [size =\"23234560\"]\n  5 -> 8 [size =\"23234560\"]\n  5 -> 9 [size =\"23234560\"]\n  6 [size=\"56896000\", alpha=\"0.07\", expect_size=\"22758400\"] \n  6 -> 11 [size =\"22758400\"]\n  6 -> 12 [size =\"22758400\"]\n  6 -> 12 [size =\"22758400\"]\n  6 -> 13 [size =\"22758400\"]\n  6 -> 14 [size =\"22758400\"]\n  7 [size=\"53870080\", alpha=\"0.19\", expect_size=\"21548032\"] \n  7 -> 11 [size =\"21548032\"]\n  7 -> 12 [size =\"21548032\"]\n  7 -> 13 [size =\"21548032\"]\n  7 -> 14 [size =\"21548032\"]\n  8 [size=\"126673920\", alpha=\"0.11\", expect_size=\"50669568\"] \n  8 -> 11 [size =\"50669568\"]\n  8 -> 13 [size =\"50669568\"]\n  8 -> 14 [size =\"50669568\"]\n  9 [size=\"82741760\", alpha=\"0.07\", expect_size=\"33096704\"] \n  9 -> 10 [size =\"33096704\"]\n  9 -> 11 [size =\"33096704\"]\n  9 -> 12 [size =\"33096704\"]\n  9 -> 14 [size =\"33096704\"]\n  10 [size=\"119833600\", alpha=\"0.02\", expect_size=\"47933440\"] \n  10 -> 15 [size =\"47933440\"]\n  10 -> 16 [size =\"47933440\"]\n  11 [size=\"103334400\", alpha=\"0.04\", expect_size=\"41333760\"] \n  11 -> 15 [size =\"41333760\"]\n  11 -> 16 [size =\"41333760\"]\n  11 -> 17 [size =\"41333760\"]\n  12 [size=\"30108160\", alpha=\"0.08\", expect_size=\"12043264\"] \n  12 -> 15 [size =\"12043264\"]\n  12 -> 17 [size =\"12043264\"]\n  12 -> 17 [size =\"12043264\"]\n  12 -> 18 [size =\"12043264\"]\n  13 [size=\"118599680\", alpha=\"0.10\", expect_size=\"47439872\"] \n  13 -> 16 [size =\"47439872\"]\n  13 -> 17 [size =\"47439872\"]\n  14 [size=\"88320000\", alpha=\"0.16\", expect_size=\"35328000\"] \n  14 -> 15 [size =\"35328000\"]\n  15 [size=\"46266880\", alpha=\"0.01\", expect_size=\"18506752\"] \n  15 -> 19 [size =\"18506752\"]\n  15 -> 20 [size =\"18506752\"]\n  15 -> 22 [size =\"18506752\"]\n  16 [size=\"56934400\", alpha=\"0.06\", expect_size=\"22773760\"] \n  16 -> 19 [size =\"22773760\"]\n  16 -> 20 [size =\"22773760\"]\n  16 -> 21 [size =\"22773760\"]\n  16 -> 23 [size =\"22773760\"]\n  17 [size=\"99770880\", alpha=\"0.06\", expect_size=\"39908352\"] \n  17 -> 19 [size =\"39908352\"]\n  17 -> 20 [size =\"39908352\"]\n  17 -> 21 [size =\"39908352\"]\n  17 -> 23 [size =\"39908352\"]\n  18 [size=\"93327360\", alpha=\"0.14\", expect_size=\"37330944\"] \n  18 -> 19 [size =\"37330944\"]\n  18 -> 22 [size =\"37330944\"]\n  19 [size=\"39808000\", alpha=\"0.12\", expect_size=\"15923200\"] \n  19 -> 24 [size =\"15923200\"]\n  19 -> 25 [size =\"15923200\"]\n  19 -> 26 [size =\"15923200\"]\n  19 -> 27 [size =\"15923200\"]\n  20 [size=\"81914880\", alpha=\"0.06\", expect_size=\"32765952\"] \n  20 -> 24 [size =\"32765952\"]\n  20 -> 26 [size =\"32765952\"]\n  20 -> 26 [size =\"32765952\"]\n  20 -> 27 [size =\"32765952\"]\n  21 [size=\"95475200\", alpha=\"0.04\", expect_size=\"38190080\"] \n  21 -> 24 [size =\"38190080\"]\n  21 -> 25 [size =\"38190080\"]\n  21 -> 28 [size =\"38190080\"]\n  22 [size=\"121789440\", alpha=\"0.10\", expect_size=\"48715776\"] \n  22 -> 25 [size =\"48715776\"]\n  22 -> 27 [size =\"48715776\"]\n  22 -> 28 [size =\"48715776\"]\n  23 [size=\"53893120\", alpha=\"0.00\", expect_size=\"21557248\"] \n  23 -> 25 [size =\"21557248\"]\n  24 [size=\"113937920\", alpha=\"0.18\", expect_size=\"45575168\"] \n  24 -> 29 [size =\"45575168\"]\n  24 -> 30 [size =\"45575168\"]\n  25 [size=\"91804160\", alpha=\"0.03\", expect_size=\"36721664\"] \n  25 -> 30 [size =\"36721664\"]\n  26 [size=\"95774720\", alpha=\"0.15\", expect_size=\"38309888\"] \n  27 [size=\"15820800\", alpha=\"0.15\", expect_size=\"6328320\"] \n  27 -> 29 [size =\"6328320\"]\n  28 [size=\"49241600\", alpha=\"0.14\", expect_size=\"19696640\"] \n  28 -> 29 [size =\"19696640\"]\n  29 [size=\"16215040\", alpha=\"0.04\", expect_size=\"6486016\"] \n  30 [size=\"88040960\", alpha=\"0.13\", expect_size=\"35216384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13817856\", alpha=\"0.08\", expect_size=\"6908928\"] \n  1 -> 2 [size =\"6908928\"]\n  1 -> 3 [size =\"6908928\"]\n  2 [size=\"29904896\", alpha=\"0.11\", expect_size=\"14952448\"] \n  2 -> 5 [size =\"14952448\"]\n  3 [size=\"88926208\", alpha=\"0.18\", expect_size=\"44463104\"] \n  3 -> 4 [size =\"44463104\"]\n  3 -> 5 [size =\"44463104\"]\n  4 [size=\"43294720\", alpha=\"0.02\", expect_size=\"21647360\"] \n  4 -> 6 [size =\"21647360\"]\n  4 -> 7 [size =\"21647360\"]\n  5 [size=\"38103040\", alpha=\"0.17\", expect_size=\"19051520\"] \n  5 -> 6 [size =\"19051520\"]\n  5 -> 7 [size =\"19051520\"]\n  6 [size=\"30517248\", alpha=\"0.10\", expect_size=\"15258624\"] \n  6 -> 8 [size =\"15258624\"]\n  6 -> 9 [size =\"15258624\"]\n  7 [size=\"49786880\", alpha=\"0.08\", expect_size=\"24893440\"] \n  7 -> 8 [size =\"24893440\"]\n  7 -> 9 [size =\"24893440\"]\n  8 [size=\"23801856\", alpha=\"0.15\", expect_size=\"11900928\"] \n  8 -> 10 [size =\"11900928\"]\n  9 [size=\"26820608\", alpha=\"0.11\", expect_size=\"13410304\"] \n  9 -> 10 [size =\"13410304\"]\n  10 [size=\"81180672\", alpha=\"0.06\", expect_size=\"40590336\"] \n  10 -> 11 [size =\"40590336\"]\n  10 -> 12 [size =\"40590336\"]\n  11 [size=\"66256896\", alpha=\"0.11\", expect_size=\"33128448\"] \n  11 -> 14 [size =\"33128448\"]\n  12 [size=\"101922816\", alpha=\"0.06\", expect_size=\"50961408\"] \n  12 -> 13 [size =\"50961408\"]\n  12 -> 14 [size =\"50961408\"]\n  13 [size=\"58982400\", alpha=\"0.03\", expect_size=\"29491200\"] \n  13 -> 15 [size =\"29491200\"]\n  13 -> 16 [size =\"29491200\"]\n  14 [size=\"49301504\", alpha=\"0.06\", expect_size=\"24650752\"] \n  14 -> 16 [size =\"24650752\"]\n  15 [size=\"57241600\", alpha=\"0.16\", expect_size=\"28620800\"] \n  15 -> 17 [size =\"28620800\"]\n  16 [size=\"44576768\", alpha=\"0.05\", expect_size=\"22288384\"] \n  16 -> 17 [size =\"22288384\"]\n  17 [size=\"93224960\", alpha=\"0.06\", expect_size=\"46612480\"] \n  17 -> 18 [size =\"46612480\"]\n  18 [size=\"35450880\", alpha=\"0.08\", expect_size=\"17725440\"] \n  18 -> 19 [size =\"17725440\"]\n  19 [size=\"12961792\", alpha=\"0.01\", expect_size=\"6480896\"] \n  19 -> 20 [size =\"6480896\"]\n  19 -> 21 [size =\"6480896\"]\n  20 [size=\"66168832\", alpha=\"0.17\", expect_size=\"33084416\"] \n  20 -> 22 [size =\"33084416\"]\n  20 -> 23 [size =\"33084416\"]\n  21 [size=\"96702464\", alpha=\"0.14\", expect_size=\"48351232\"] \n  21 -> 22 [size =\"48351232\"]\n  21 -> 23 [size =\"48351232\"]\n  22 [size=\"52858880\", alpha=\"0.15\", expect_size=\"26429440\"] \n  22 -> 25 [size =\"26429440\"]\n  23 [size=\"83058688\", alpha=\"0.13\", expect_size=\"41529344\"] \n  23 -> 24 [size =\"41529344\"]\n  23 -> 25 [size =\"41529344\"]\n  24 [size=\"95602688\", alpha=\"0.18\", expect_size=\"47801344\"] \n  24 -> 26 [size =\"47801344\"]\n  25 [size=\"28655616\", alpha=\"0.09\", expect_size=\"14327808\"] \n  26 [size=\"103581696\", alpha=\"0.03\", expect_size=\"51790848\"] \n  26 -> 27 [size =\"51790848\"]\n  26 -> 28 [size =\"51790848\"]\n  27 [size=\"33138688\", alpha=\"0.07\", expect_size=\"16569344\"] \n  27 -> 29 [size =\"16569344\"]\n  27 -> 30 [size =\"16569344\"]\n  28 [size=\"61198336\", alpha=\"0.13\", expect_size=\"30599168\"] \n  28 -> 29 [size =\"30599168\"]\n  28 -> 30 [size =\"30599168\"]\n  29 [size=\"98215936\", alpha=\"0.02\", expect_size=\"49107968\"] \n  30 [size=\"102287360\", alpha=\"0.07\", expect_size=\"51143680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13477888\", alpha=\"0.06\", expect_size=\"6738944\"] \n  1 -> 2 [size =\"6738944\"]\n  2 [size=\"15880192\", alpha=\"0.07\", expect_size=\"7940096\"] \n  2 -> 3 [size =\"7940096\"]\n  3 [size=\"76881920\", alpha=\"0.06\", expect_size=\"38440960\"] \n  3 -> 4 [size =\"38440960\"]\n  4 [size=\"14239744\", alpha=\"0.14\", expect_size=\"7119872\"] \n  4 -> 5 [size =\"7119872\"]\n  5 [size=\"47878144\", alpha=\"0.02\", expect_size=\"23939072\"] \n  5 -> 6 [size =\"23939072\"]\n  6 [size=\"53538816\", alpha=\"0.15\", expect_size=\"26769408\"] \n  6 -> 7 [size =\"26769408\"]\n  7 [size=\"41394176\", alpha=\"0.06\", expect_size=\"20697088\"] \n  7 -> 8 [size =\"20697088\"]\n  8 [size=\"90824704\", alpha=\"0.09\", expect_size=\"45412352\"] \n  8 -> 9 [size =\"45412352\"]\n  9 [size=\"23701504\", alpha=\"0.15\", expect_size=\"11850752\"] \n  9 -> 10 [size =\"11850752\"]\n  10 [size=\"53800960\", alpha=\"0.02\", expect_size=\"26900480\"] \n  10 -> 11 [size =\"26900480\"]\n  11 [size=\"74045440\", alpha=\"0.00\", expect_size=\"37022720\"] \n  11 -> 12 [size =\"37022720\"]\n  12 [size=\"104554496\", alpha=\"0.11\", expect_size=\"52277248\"] \n  12 -> 13 [size =\"52277248\"]\n  13 [size=\"42491904\", alpha=\"0.07\", expect_size=\"21245952\"] \n  13 -> 14 [size =\"21245952\"]\n  14 [size=\"71411712\", alpha=\"0.08\", expect_size=\"35705856\"] \n  14 -> 15 [size =\"35705856\"]\n  15 [size=\"43251712\", alpha=\"0.06\", expect_size=\"21625856\"] \n  15 -> 16 [size =\"21625856\"]\n  16 [size=\"53655552\", alpha=\"0.16\", expect_size=\"26827776\"] \n  16 -> 17 [size =\"26827776\"]\n  17 [size=\"28850176\", alpha=\"0.05\", expect_size=\"14425088\"] \n  17 -> 18 [size =\"14425088\"]\n  18 [size=\"55054336\", alpha=\"0.10\", expect_size=\"27527168\"] \n  18 -> 19 [size =\"27527168\"]\n  19 [size=\"99803136\", alpha=\"0.11\", expect_size=\"49901568\"] \n  19 -> 20 [size =\"49901568\"]\n  20 [size=\"76544000\", alpha=\"0.07\", expect_size=\"38272000\"] \n  20 -> 21 [size =\"38272000\"]\n  21 [size=\"86542336\", alpha=\"0.03\", expect_size=\"43271168\"] \n  21 -> 22 [size =\"43271168\"]\n  22 [size=\"88698880\", alpha=\"0.00\", expect_size=\"44349440\"] \n  22 -> 23 [size =\"44349440\"]\n  23 [size=\"45160448\", alpha=\"0.12\", expect_size=\"22580224\"] \n  23 -> 24 [size =\"22580224\"]\n  24 [size=\"79458304\", alpha=\"0.05\", expect_size=\"39729152\"] \n  24 -> 25 [size =\"39729152\"]\n  25 [size=\"23955456\", alpha=\"0.05\", expect_size=\"11977728\"] \n  25 -> 26 [size =\"11977728\"]\n  26 [size=\"54396928\", alpha=\"0.14\", expect_size=\"27198464\"] \n  26 -> 27 [size =\"27198464\"]\n  27 [size=\"37720064\", alpha=\"0.10\", expect_size=\"18860032\"] \n  27 -> 28 [size =\"18860032\"]\n  28 [size=\"61353984\", alpha=\"0.03\", expect_size=\"30676992\"] \n  28 -> 29 [size =\"30676992\"]\n  29 [size=\"13895680\", alpha=\"0.19\", expect_size=\"6947840\"] \n  29 -> 30 [size =\"6947840\"]\n  30 [size=\"64854016\", alpha=\"0.04\", expect_size=\"32427008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37973333\", alpha=\"0.18\", expect_size=\"11392000\"] \n  1 -> 23 [size =\"11392000\"]\n  1 -> 25 [size =\"11392000\"]\n  1 -> 27 [size =\"11392000\"]\n  1 -> 29 [size =\"11392000\"]\n  1 -> 30 [size =\"11392000\"]\n  2 [size=\"31255893\", alpha=\"0.01\", expect_size=\"9376768\"] \n  2 -> 25 [size =\"9376768\"]\n  2 -> 27 [size =\"9376768\"]\n  2 -> 27 [size =\"9376768\"]\n  2 -> 28 [size =\"9376768\"]\n  2 -> 29 [size =\"9376768\"]\n  2 -> 30 [size =\"9376768\"]\n  3 [size=\"166386347\", alpha=\"0.18\", expect_size=\"49915904\"] \n  3 -> 27 [size =\"49915904\"]\n  3 -> 28 [size =\"49915904\"]\n  3 -> 29 [size =\"49915904\"]\n  3 -> 30 [size =\"49915904\"]\n  4 [size=\"45742080\", alpha=\"0.10\", expect_size=\"13722624\"] \n  4 -> 22 [size =\"13722624\"]\n  4 -> 23 [size =\"13722624\"]\n  4 -> 27 [size =\"13722624\"]\n  4 -> 29 [size =\"13722624\"]\n  4 -> 30 [size =\"13722624\"]\n  5 [size=\"24169813\", alpha=\"0.10\", expect_size=\"7250944\"] \n  5 -> 22 [size =\"7250944\"]\n  5 -> 23 [size =\"7250944\"]\n  5 -> 24 [size =\"7250944\"]\n  5 -> 25 [size =\"7250944\"]\n  5 -> 27 [size =\"7250944\"]\n  5 -> 28 [size =\"7250944\"]\n  5 -> 29 [size =\"7250944\"]\n  5 -> 30 [size =\"7250944\"]\n  6 [size=\"80230400\", alpha=\"0.07\", expect_size=\"24069120\"] \n  6 -> 22 [size =\"24069120\"]\n  6 -> 25 [size =\"24069120\"]\n  6 -> 27 [size =\"24069120\"]\n  6 -> 29 [size =\"24069120\"]\n  6 -> 30 [size =\"24069120\"]\n  7 [size=\"43796480\", alpha=\"0.02\", expect_size=\"13138944\"] \n  7 -> 22 [size =\"13138944\"]\n  7 -> 23 [size =\"13138944\"]\n  7 -> 25 [size =\"13138944\"]\n  7 -> 27 [size =\"13138944\"]\n  7 -> 29 [size =\"13138944\"]\n  7 -> 30 [size =\"13138944\"]\n  8 [size=\"100727467\", alpha=\"0.15\", expect_size=\"30218240\"] \n  8 -> 23 [size =\"30218240\"]\n  8 -> 25 [size =\"30218240\"]\n  8 -> 25 [size =\"30218240\"]\n  8 -> 27 [size =\"30218240\"]\n  8 -> 29 [size =\"30218240\"]\n  8 -> 30 [size =\"30218240\"]\n  9 [size=\"133246293\", alpha=\"0.11\", expect_size=\"39973888\"] \n  9 -> 21 [size =\"39973888\"]\n  9 -> 23 [size =\"39973888\"]\n  9 -> 24 [size =\"39973888\"]\n  9 -> 25 [size =\"39973888\"]\n  9 -> 26 [size =\"39973888\"]\n  9 -> 27 [size =\"39973888\"]\n  9 -> 29 [size =\"39973888\"]\n  9 -> 30 [size =\"39973888\"]\n  10 [size=\"149398187\", alpha=\"0.16\", expect_size=\"44819456\"] \n  10 -> 23 [size =\"44819456\"]\n  10 -> 23 [size =\"44819456\"]\n  10 -> 25 [size =\"44819456\"]\n  10 -> 25 [size =\"44819456\"]\n  10 -> 29 [size =\"44819456\"]\n  10 -> 30 [size =\"44819456\"]\n  11 [size=\"138939733\", alpha=\"0.11\", expect_size=\"41681920\"] \n  11 -> 22 [size =\"41681920\"]\n  11 -> 28 [size =\"41681920\"]\n  11 -> 29 [size =\"41681920\"]\n  11 -> 30 [size =\"41681920\"]\n  12 [size=\"120883200\", alpha=\"0.01\", expect_size=\"36264960\"] \n  12 -> 25 [size =\"36264960\"]\n  12 -> 27 [size =\"36264960\"]\n  12 -> 29 [size =\"36264960\"]\n  12 -> 30 [size =\"36264960\"]\n  13 [size=\"129003520\", alpha=\"0.09\", expect_size=\"38701056\"] \n  13 -> 21 [size =\"38701056\"]\n  13 -> 28 [size =\"38701056\"]\n  13 -> 29 [size =\"38701056\"]\n  13 -> 30 [size =\"38701056\"]\n  14 [size=\"114971307\", alpha=\"0.02\", expect_size=\"34491392\"] \n  14 -> 23 [size =\"34491392\"]\n  14 -> 25 [size =\"34491392\"]\n  14 -> 30 [size =\"34491392\"]\n  14 -> 30 [size =\"34491392\"]\n  15 [size=\"37584213\", alpha=\"0.02\", expect_size=\"11275264\"] \n  15 -> 22 [size =\"11275264\"]\n  15 -> 23 [size =\"11275264\"]\n  15 -> 25 [size =\"11275264\"]\n  15 -> 28 [size =\"11275264\"]\n  15 -> 30 [size =\"11275264\"]\n  16 [size=\"113834667\", alpha=\"0.19\", expect_size=\"34150400\"] \n  16 -> 25 [size =\"34150400\"]\n  16 -> 28 [size =\"34150400\"]\n  16 -> 29 [size =\"34150400\"]\n  16 -> 30 [size =\"34150400\"]\n  17 [size=\"170076160\", alpha=\"0.07\", expect_size=\"51022848\"] \n  17 -> 22 [size =\"51022848\"]\n  17 -> 23 [size =\"51022848\"]\n  17 -> 25 [size =\"51022848\"]\n  17 -> 28 [size =\"51022848\"]\n  18 [size=\"27562667\", alpha=\"0.02\", expect_size=\"8268800\"] \n  18 -> 23 [size =\"8268800\"]\n  18 -> 25 [size =\"8268800\"]\n  18 -> 27 [size =\"8268800\"]\n  18 -> 28 [size =\"8268800\"]\n  19 [size=\"142049280\", alpha=\"0.05\", expect_size=\"42614784\"] \n  19 -> 22 [size =\"42614784\"]\n  19 -> 23 [size =\"42614784\"]\n  19 -> 25 [size =\"42614784\"]\n  19 -> 28 [size =\"42614784\"]\n  19 -> 29 [size =\"42614784\"]\n  20 [size=\"67368960\", alpha=\"0.10\", expect_size=\"20210688\"] \n  20 -> 22 [size =\"20210688\"]\n  20 -> 23 [size =\"20210688\"]\n  20 -> 25 [size =\"20210688\"]\n  20 -> 29 [size =\"20210688\"]\n  21 [size=\"36519253\", alpha=\"0.18\", expect_size=\"10955776\"] \n  22 [size=\"121449813\", alpha=\"0.07\", expect_size=\"36434944\"] \n  23 [size=\"132089173\", alpha=\"0.15\", expect_size=\"39626752\"] \n  24 [size=\"46656853\", alpha=\"0.08\", expect_size=\"13997056\"] \n  25 [size=\"65129813\", alpha=\"0.00\", expect_size=\"19538944\"] \n  26 [size=\"84329813\", alpha=\"0.01\", expect_size=\"25298944\"] \n  27 [size=\"73301333\", alpha=\"0.05\", expect_size=\"21990400\"] \n  28 [size=\"128733867\", alpha=\"0.00\", expect_size=\"38620160\"] \n  29 [size=\"144786773\", alpha=\"0.10\", expect_size=\"43436032\"] \n  30 [size=\"23988907\", alpha=\"0.16\", expect_size=\"7196672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71196160\", alpha=\"0.15\", expect_size=\"28478464\"] \n  1 -> 2 [size =\"28478464\"]\n  2 [size=\"40081920\", alpha=\"0.20\", expect_size=\"16032768\"] \n  2 -> 3 [size =\"16032768\"]\n  3 [size=\"102594560\", alpha=\"0.12\", expect_size=\"41037824\"] \n  3 -> 4 [size =\"41037824\"]\n  4 [size=\"50511360\", alpha=\"0.11\", expect_size=\"20204544\"] \n  4 -> 5 [size =\"20204544\"]\n  5 [size=\"109998080\", alpha=\"0.13\", expect_size=\"43999232\"] \n  5 -> 6 [size =\"43999232\"]\n  6 [size=\"113134080\", alpha=\"0.00\", expect_size=\"45253632\"] \n  6 -> 7 [size =\"45253632\"]\n  7 [size=\"45696000\", alpha=\"0.14\", expect_size=\"18278400\"] \n  7 -> 8 [size =\"18278400\"]\n  8 [size=\"23610880\", alpha=\"0.14\", expect_size=\"9444352\"] \n  8 -> 9 [size =\"9444352\"]\n  9 [size=\"55710720\", alpha=\"0.17\", expect_size=\"22284288\"] \n  9 -> 10 [size =\"22284288\"]\n  10 [size=\"74112000\", alpha=\"0.12\", expect_size=\"29644800\"] \n  10 -> 11 [size =\"29644800\"]\n  11 [size=\"129144320\", alpha=\"0.06\", expect_size=\"51657728\"] \n  11 -> 12 [size =\"51657728\"]\n  12 [size=\"96793600\", alpha=\"0.17\", expect_size=\"38717440\"] \n  12 -> 13 [size =\"38717440\"]\n  13 [size=\"94254080\", alpha=\"0.04\", expect_size=\"37701632\"] \n  13 -> 14 [size =\"37701632\"]\n  14 [size=\"49361920\", alpha=\"0.12\", expect_size=\"19744768\"] \n  14 -> 15 [size =\"19744768\"]\n  15 [size=\"114045440\", alpha=\"0.09\", expect_size=\"45618176\"] \n  15 -> 16 [size =\"45618176\"]\n  16 [size=\"73802240\", alpha=\"0.14\", expect_size=\"29520896\"] \n  16 -> 17 [size =\"29520896\"]\n  17 [size=\"74470400\", alpha=\"0.14\", expect_size=\"29788160\"] \n  17 -> 18 [size =\"29788160\"]\n  18 [size=\"37383680\", alpha=\"0.04\", expect_size=\"14953472\"] \n  18 -> 19 [size =\"14953472\"]\n  19 [size=\"118039040\", alpha=\"0.08\", expect_size=\"47215616\"] \n  19 -> 20 [size =\"47215616\"]\n  20 [size=\"102543360\", alpha=\"0.03\", expect_size=\"41017344\"] \n  20 -> 21 [size =\"41017344\"]\n  21 [size=\"52674560\", alpha=\"0.07\", expect_size=\"21069824\"] \n  21 -> 22 [size =\"21069824\"]\n  22 [size=\"85847040\", alpha=\"0.17\", expect_size=\"34338816\"] \n  22 -> 23 [size =\"34338816\"]\n  23 [size=\"69509120\", alpha=\"0.01\", expect_size=\"27803648\"] \n  23 -> 24 [size =\"27803648\"]\n  24 [size=\"92111360\", alpha=\"0.12\", expect_size=\"36844544\"] \n  24 -> 25 [size =\"36844544\"]\n  25 [size=\"42621440\", alpha=\"0.19\", expect_size=\"17048576\"] \n  25 -> 26 [size =\"17048576\"]\n  26 [size=\"93703680\", alpha=\"0.03\", expect_size=\"37481472\"] \n  26 -> 27 [size =\"37481472\"]\n  27 [size=\"59514880\", alpha=\"0.13\", expect_size=\"23805952\"] \n  27 -> 28 [size =\"23805952\"]\n  28 [size=\"22080000\", alpha=\"0.04\", expect_size=\"8832000\"] \n  28 -> 29 [size =\"8832000\"]\n  29 [size=\"44213760\", alpha=\"0.03\", expect_size=\"17685504\"] \n  29 -> 30 [size =\"17685504\"]\n  30 [size=\"91806720\", alpha=\"0.12\", expect_size=\"36722688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59205632\", alpha=\"0.09\", expect_size=\"29602816\"] \n  1 -> 14 [size =\"29602816\"]\n  1 -> 15 [size =\"29602816\"]\n  1 -> 16 [size =\"29602816\"]\n  2 [size=\"54990848\", alpha=\"0.13\", expect_size=\"27495424\"] \n  2 -> 15 [size =\"27495424\"]\n  3 [size=\"79175680\", alpha=\"0.07\", expect_size=\"39587840\"] \n  3 -> 13 [size =\"39587840\"]\n  4 [size=\"82776064\", alpha=\"0.00\", expect_size=\"41388032\"] \n  5 [size=\"90095616\", alpha=\"0.19\", expect_size=\"45047808\"] \n  5 -> 15 [size =\"45047808\"]\n  5 -> 16 [size =\"45047808\"]\n  5 -> 17 [size =\"45047808\"]\n  5 -> 18 [size =\"45047808\"]\n  6 [size=\"18173952\", alpha=\"0.19\", expect_size=\"9086976\"] \n  6 -> 13 [size =\"9086976\"]\n  6 -> 15 [size =\"9086976\"]\n  6 -> 16 [size =\"9086976\"]\n  7 [size=\"70942720\", alpha=\"0.00\", expect_size=\"35471360\"] \n  7 -> 13 [size =\"35471360\"]\n  7 -> 14 [size =\"35471360\"]\n  8 [size=\"73666560\", alpha=\"0.01\", expect_size=\"36833280\"] \n  8 -> 13 [size =\"36833280\"]\n  9 [size=\"96710656\", alpha=\"0.12\", expect_size=\"48355328\"] \n  9 -> 16 [size =\"48355328\"]\n  10 [size=\"31545344\", alpha=\"0.13\", expect_size=\"15772672\"] \n  10 -> 14 [size =\"15772672\"]\n  10 -> 15 [size =\"15772672\"]\n  11 [size=\"16515072\", alpha=\"0.06\", expect_size=\"8257536\"] \n  11 -> 12 [size =\"8257536\"]\n  11 -> 17 [size =\"8257536\"]\n  12 [size=\"60917760\", alpha=\"0.00\", expect_size=\"30458880\"] \n  12 -> 19 [size =\"30458880\"]\n  12 -> 20 [size =\"30458880\"]\n  12 -> 26 [size =\"30458880\"]\n  13 [size=\"29585408\", alpha=\"0.09\", expect_size=\"14792704\"] \n  13 -> 19 [size =\"14792704\"]\n  13 -> 25 [size =\"14792704\"]\n  13 -> 27 [size =\"14792704\"]\n  13 -> 30 [size =\"14792704\"]\n  14 [size=\"60368896\", alpha=\"0.03\", expect_size=\"30184448\"] \n  14 -> 22 [size =\"30184448\"]\n  14 -> 25 [size =\"30184448\"]\n  14 -> 27 [size =\"30184448\"]\n  14 -> 28 [size =\"30184448\"]\n  14 -> 29 [size =\"30184448\"]\n  15 [size=\"61059072\", alpha=\"0.08\", expect_size=\"30529536\"] \n  15 -> 20 [size =\"30529536\"]\n  15 -> 21 [size =\"30529536\"]\n  15 -> 23 [size =\"30529536\"]\n  15 -> 25 [size =\"30529536\"]\n  15 -> 26 [size =\"30529536\"]\n  15 -> 29 [size =\"30529536\"]\n  15 -> 30 [size =\"30529536\"]\n  16 [size=\"56686592\", alpha=\"0.18\", expect_size=\"28343296\"] \n  16 -> 19 [size =\"28343296\"]\n  16 -> 20 [size =\"28343296\"]\n  16 -> 29 [size =\"28343296\"]\n  17 [size=\"52297728\", alpha=\"0.06\", expect_size=\"26148864\"] \n  17 -> 20 [size =\"26148864\"]\n  17 -> 27 [size =\"26148864\"]\n  17 -> 28 [size =\"26148864\"]\n  17 -> 30 [size =\"26148864\"]\n  18 [size=\"53180416\", alpha=\"0.18\", expect_size=\"26590208\"] \n  18 -> 22 [size =\"26590208\"]\n  18 -> 23 [size =\"26590208\"]\n  18 -> 24 [size =\"26590208\"]\n  18 -> 26 [size =\"26590208\"]\n  18 -> 27 [size =\"26590208\"]\n  18 -> 28 [size =\"26590208\"]\n  18 -> 30 [size =\"26590208\"]\n  19 [size=\"59717632\", alpha=\"0.16\", expect_size=\"29858816\"] \n  20 [size=\"20695040\", alpha=\"0.08\", expect_size=\"10347520\"] \n  21 [size=\"83945472\", alpha=\"0.11\", expect_size=\"41972736\"] \n  22 [size=\"16850944\", alpha=\"0.02\", expect_size=\"8425472\"] \n  23 [size=\"18538496\", alpha=\"0.09\", expect_size=\"9269248\"] \n  24 [size=\"62248960\", alpha=\"0.10\", expect_size=\"31124480\"] \n  25 [size=\"78710784\", alpha=\"0.09\", expect_size=\"39355392\"] \n  26 [size=\"20328448\", alpha=\"0.09\", expect_size=\"10164224\"] \n  27 [size=\"103528448\", alpha=\"0.02\", expect_size=\"51764224\"] \n  28 [size=\"35739648\", alpha=\"0.08\", expect_size=\"17869824\"] \n  29 [size=\"28315648\", alpha=\"0.13\", expect_size=\"14157824\"] \n  30 [size=\"104835072\", alpha=\"0.02\", expect_size=\"52417536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120499200\", alpha=\"0.13\", expect_size=\"48199680\"] \n  2 [size=\"70622720\", alpha=\"0.14\", expect_size=\"28249088\"] \n  3 [size=\"50818560\", alpha=\"0.08\", expect_size=\"20327424\"] \n  4 [size=\"126970880\", alpha=\"0.01\", expect_size=\"50788352\"] \n  5 [size=\"109365760\", alpha=\"0.05\", expect_size=\"43746304\"] \n  6 [size=\"21550080\", alpha=\"0.19\", expect_size=\"8620032\"] \n  7 [size=\"110497280\", alpha=\"0.15\", expect_size=\"44198912\"] \n  8 [size=\"49397760\", alpha=\"0.13\", expect_size=\"19759104\"] \n  9 [size=\"24960000\", alpha=\"0.06\", expect_size=\"9984000\"] \n  10 [size=\"81180160\", alpha=\"0.19\", expect_size=\"32472064\"] \n  11 [size=\"72778240\", alpha=\"0.08\", expect_size=\"29111296\"] \n  12 [size=\"32276480\", alpha=\"0.06\", expect_size=\"12910592\"] \n  13 [size=\"114117120\", alpha=\"0.12\", expect_size=\"45646848\"] \n  14 [size=\"43018240\", alpha=\"0.05\", expect_size=\"17207296\"] \n  15 [size=\"51115520\", alpha=\"0.15\", expect_size=\"20446208\"] \n  16 [size=\"82114560\", alpha=\"0.14\", expect_size=\"32845824\"] \n  17 [size=\"78312960\", alpha=\"0.16\", expect_size=\"31325184\"] \n  18 [size=\"48693760\", alpha=\"0.01\", expect_size=\"19477504\"] \n  19 [size=\"122823680\", alpha=\"0.01\", expect_size=\"49129472\"] \n  20 [size=\"40752640\", alpha=\"0.05\", expect_size=\"16301056\"] \n  21 [size=\"35397120\", alpha=\"0.08\", expect_size=\"14158848\"] \n  22 [size=\"82634240\", alpha=\"0.00\", expect_size=\"33053696\"] \n  23 [size=\"119480320\", alpha=\"0.19\", expect_size=\"47792128\"] \n  24 [size=\"71249920\", alpha=\"0.17\", expect_size=\"28499968\"] \n  25 [size=\"99676160\", alpha=\"0.11\", expect_size=\"39870464\"] \n  26 [size=\"67998720\", alpha=\"0.07\", expect_size=\"27199488\"] \n  27 [size=\"34234880\", alpha=\"0.19\", expect_size=\"13693952\"] \n  28 [size=\"130055680\", alpha=\"0.17\", expect_size=\"52022272\"] \n  29 [size=\"19691520\", alpha=\"0.18\", expect_size=\"7876608\"] \n  30 [size=\"26076160\", alpha=\"0.10\", expect_size=\"10430464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25313280\", alpha=\"0.17\", expect_size=\"7593984\"] \n  1 -> 27 [size =\"7593984\"]\n  1 -> 29 [size =\"7593984\"]\n  2 [size=\"72867840\", alpha=\"0.18\", expect_size=\"21860352\"] \n  2 -> 25 [size =\"21860352\"]\n  2 -> 26 [size =\"21860352\"]\n  2 -> 29 [size =\"21860352\"]\n  3 [size=\"157187413\", alpha=\"0.10\", expect_size=\"47156224\"] \n  3 -> 26 [size =\"47156224\"]\n  3 -> 27 [size =\"47156224\"]\n  4 [size=\"91716267\", alpha=\"0.18\", expect_size=\"27514880\"] \n  4 -> 25 [size =\"27514880\"]\n  4 -> 26 [size =\"27514880\"]\n  4 -> 29 [size =\"27514880\"]\n  5 [size=\"170356053\", alpha=\"0.19\", expect_size=\"51106816\"] \n  5 -> 26 [size =\"51106816\"]\n  6 [size=\"97542827\", alpha=\"0.13\", expect_size=\"29262848\"] \n  6 -> 29 [size =\"29262848\"]\n  6 -> 30 [size =\"29262848\"]\n  7 [size=\"55439360\", alpha=\"0.14\", expect_size=\"16631808\"] \n  7 -> 25 [size =\"16631808\"]\n  7 -> 27 [size =\"16631808\"]\n  7 -> 28 [size =\"16631808\"]\n  8 [size=\"173578240\", alpha=\"0.01\", expect_size=\"52073472\"] \n  8 -> 26 [size =\"52073472\"]\n  8 -> 27 [size =\"52073472\"]\n  9 [size=\"160180907\", alpha=\"0.05\", expect_size=\"48054272\"] \n  9 -> 26 [size =\"48054272\"]\n  9 -> 27 [size =\"48054272\"]\n  9 -> 29 [size =\"48054272\"]\n  10 [size=\"149790720\", alpha=\"0.18\", expect_size=\"44937216\"] \n  10 -> 26 [size =\"44937216\"]\n  11 [size=\"29706240\", alpha=\"0.04\", expect_size=\"8911872\"] \n  11 -> 28 [size =\"8911872\"]\n  12 [size=\"164276907\", alpha=\"0.02\", expect_size=\"49283072\"] \n  12 -> 29 [size =\"49283072\"]\n  13 [size=\"150067200\", alpha=\"0.14\", expect_size=\"45020160\"] \n  13 -> 26 [size =\"45020160\"]\n  13 -> 28 [size =\"45020160\"]\n  13 -> 29 [size =\"45020160\"]\n  14 [size=\"68915200\", alpha=\"0.11\", expect_size=\"20674560\"] \n  14 -> 26 [size =\"20674560\"]\n  14 -> 27 [size =\"20674560\"]\n  14 -> 29 [size =\"20674560\"]\n  15 [size=\"56224427\", alpha=\"0.15\", expect_size=\"16867328\"] \n  15 -> 25 [size =\"16867328\"]\n  15 -> 26 [size =\"16867328\"]\n  15 -> 29 [size =\"16867328\"]\n  16 [size=\"45905920\", alpha=\"0.02\", expect_size=\"13771776\"] \n  16 -> 25 [size =\"13771776\"]\n  16 -> 26 [size =\"13771776\"]\n  16 -> 29 [size =\"13771776\"]\n  17 [size=\"147933867\", alpha=\"0.09\", expect_size=\"44380160\"] \n  17 -> 26 [size =\"44380160\"]\n  17 -> 27 [size =\"44380160\"]\n  17 -> 29 [size =\"44380160\"]\n  18 [size=\"102686720\", alpha=\"0.00\", expect_size=\"30806016\"] \n  18 -> 25 [size =\"30806016\"]\n  18 -> 29 [size =\"30806016\"]\n  19 [size=\"111762773\", alpha=\"0.04\", expect_size=\"33528832\"] \n  19 -> 25 [size =\"33528832\"]\n  19 -> 26 [size =\"33528832\"]\n  19 -> 29 [size =\"33528832\"]\n  19 -> 30 [size =\"33528832\"]\n  20 [size=\"152664747\", alpha=\"0.08\", expect_size=\"45799424\"] \n  20 -> 25 [size =\"45799424\"]\n  20 -> 26 [size =\"45799424\"]\n  21 [size=\"137666560\", alpha=\"0.12\", expect_size=\"41299968\"] \n  21 -> 25 [size =\"41299968\"]\n  21 -> 26 [size =\"41299968\"]\n  21 -> 28 [size =\"41299968\"]\n  21 -> 29 [size =\"41299968\"]\n  22 [size=\"169171627\", alpha=\"0.04\", expect_size=\"50751488\"] \n  22 -> 25 [size =\"50751488\"]\n  22 -> 26 [size =\"50751488\"]\n  23 [size=\"29900800\", alpha=\"0.13\", expect_size=\"8970240\"] \n  23 -> 26 [size =\"8970240\"]\n  23 -> 27 [size =\"8970240\"]\n  23 -> 28 [size =\"8970240\"]\n  24 [size=\"136731307\", alpha=\"0.12\", expect_size=\"41019392\"] \n  24 -> 25 [size =\"41019392\"]\n  24 -> 27 [size =\"41019392\"]\n  24 -> 28 [size =\"41019392\"]\n  25 [size=\"65638400\", alpha=\"0.10\", expect_size=\"19691520\"] \n  26 [size=\"22698667\", alpha=\"0.19\", expect_size=\"6809600\"] \n  27 [size=\"34908160\", alpha=\"0.12\", expect_size=\"10472448\"] \n  28 [size=\"102652587\", alpha=\"0.05\", expect_size=\"30795776\"] \n  29 [size=\"104727893\", alpha=\"0.17\", expect_size=\"31418368\"] \n  30 [size=\"136564053\", alpha=\"0.05\", expect_size=\"40969216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28276053\", alpha=\"0.03\", expect_size=\"8482816\"] \n  1 -> 5 [size =\"8482816\"]\n  1 -> 6 [size =\"8482816\"]\n  2 [size=\"173503147\", alpha=\"0.10\", expect_size=\"52050944\"] \n  2 -> 4 [size =\"52050944\"]\n  2 -> 6 [size =\"52050944\"]\n  3 [size=\"53207040\", alpha=\"0.16\", expect_size=\"15962112\"] \n  3 -> 7 [size =\"15962112\"]\n  4 [size=\"94610773\", alpha=\"0.06\", expect_size=\"28383232\"] \n  4 -> 8 [size =\"28383232\"]\n  4 -> 10 [size =\"28383232\"]\n  4 -> 11 [size =\"28383232\"]\n  5 [size=\"132549973\", alpha=\"0.01\", expect_size=\"39764992\"] \n  5 -> 8 [size =\"39764992\"]\n  5 -> 9 [size =\"39764992\"]\n  6 [size=\"121842347\", alpha=\"0.03\", expect_size=\"36552704\"] \n  6 -> 11 [size =\"36552704\"]\n  7 [size=\"116589227\", alpha=\"0.00\", expect_size=\"34976768\"] \n  7 -> 10 [size =\"34976768\"]\n  8 [size=\"165946027\", alpha=\"0.13\", expect_size=\"49783808\"] \n  8 -> 13 [size =\"49783808\"]\n  8 -> 16 [size =\"49783808\"]\n  9 [size=\"167389867\", alpha=\"0.19\", expect_size=\"50216960\"] \n  9 -> 15 [size =\"50216960\"]\n  10 [size=\"112397653\", alpha=\"0.16\", expect_size=\"33719296\"] \n  10 -> 12 [size =\"33719296\"]\n  11 [size=\"134662827\", alpha=\"0.16\", expect_size=\"40398848\"] \n  11 -> 12 [size =\"40398848\"]\n  11 -> 14 [size =\"40398848\"]\n  11 -> 16 [size =\"40398848\"]\n  12 [size=\"160139947\", alpha=\"0.07\", expect_size=\"48041984\"] \n  12 -> 20 [size =\"48041984\"]\n  12 -> 21 [size =\"48041984\"]\n  13 [size=\"81616213\", alpha=\"0.06\", expect_size=\"24484864\"] \n  13 -> 17 [size =\"24484864\"]\n  13 -> 18 [size =\"24484864\"]\n  14 [size=\"46632960\", alpha=\"0.01\", expect_size=\"13989888\"] \n  14 -> 17 [size =\"13989888\"]\n  14 -> 19 [size =\"13989888\"]\n  15 [size=\"93863253\", alpha=\"0.10\", expect_size=\"28158976\"] \n  15 -> 18 [size =\"28158976\"]\n  15 -> 21 [size =\"28158976\"]\n  16 [size=\"98218667\", alpha=\"0.04\", expect_size=\"29465600\"] \n  16 -> 17 [size =\"29465600\"]\n  16 -> 21 [size =\"29465600\"]\n  17 [size=\"119575893\", alpha=\"0.04\", expect_size=\"35872768\"] \n  17 -> 22 [size =\"35872768\"]\n  17 -> 23 [size =\"35872768\"]\n  17 -> 25 [size =\"35872768\"]\n  18 [size=\"121692160\", alpha=\"0.15\", expect_size=\"36507648\"] \n  18 -> 23 [size =\"36507648\"]\n  18 -> 27 [size =\"36507648\"]\n  19 [size=\"64276480\", alpha=\"0.10\", expect_size=\"19282944\"] \n  19 -> 23 [size =\"19282944\"]\n  19 -> 26 [size =\"19282944\"]\n  20 [size=\"55930880\", alpha=\"0.01\", expect_size=\"16779264\"] \n  20 -> 22 [size =\"16779264\"]\n  20 -> 24 [size =\"16779264\"]\n  21 [size=\"26989227\", alpha=\"0.14\", expect_size=\"8096768\"] \n  21 -> 24 [size =\"8096768\"]\n  21 -> 27 [size =\"8096768\"]\n  22 [size=\"155682133\", alpha=\"0.06\", expect_size=\"46704640\"] \n  22 -> 29 [size =\"46704640\"]\n  22 -> 30 [size =\"46704640\"]\n  23 [size=\"56695467\", alpha=\"0.03\", expect_size=\"17008640\"] \n  23 -> 30 [size =\"17008640\"]\n  24 [size=\"100403200\", alpha=\"0.10\", expect_size=\"30120960\"] \n  24 -> 28 [size =\"30120960\"]\n  25 [size=\"107216213\", alpha=\"0.12\", expect_size=\"32164864\"] \n  26 [size=\"31682560\", alpha=\"0.06\", expect_size=\"9504768\"] \n  27 [size=\"64935253\", alpha=\"0.14\", expect_size=\"19480576\"] \n  27 -> 29 [size =\"19480576\"]\n  28 [size=\"97662293\", alpha=\"0.20\", expect_size=\"29298688\"] \n  29 [size=\"54667947\", alpha=\"0.05\", expect_size=\"16400384\"] \n  30 [size=\"133621760\", alpha=\"0.02\", expect_size=\"40086528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25425920\", alpha=\"0.15\", expect_size=\"12712960\"] \n  1 -> 20 [size =\"12712960\"]\n  1 -> 26 [size =\"12712960\"]\n  1 -> 28 [size =\"12712960\"]\n  1 -> 29 [size =\"12712960\"]\n  2 [size=\"85749760\", alpha=\"0.00\", expect_size=\"42874880\"] \n  2 -> 20 [size =\"42874880\"]\n  2 -> 25 [size =\"42874880\"]\n  2 -> 28 [size =\"42874880\"]\n  2 -> 30 [size =\"42874880\"]\n  3 [size=\"58007552\", alpha=\"0.10\", expect_size=\"29003776\"] \n  3 -> 19 [size =\"29003776\"]\n  3 -> 20 [size =\"29003776\"]\n  3 -> 21 [size =\"29003776\"]\n  3 -> 22 [size =\"29003776\"]\n  3 -> 23 [size =\"29003776\"]\n  3 -> 24 [size =\"29003776\"]\n  3 -> 25 [size =\"29003776\"]\n  3 -> 29 [size =\"29003776\"]\n  3 -> 30 [size =\"29003776\"]\n  4 [size=\"38875136\", alpha=\"0.11\", expect_size=\"19437568\"] \n  4 -> 19 [size =\"19437568\"]\n  4 -> 20 [size =\"19437568\"]\n  4 -> 21 [size =\"19437568\"]\n  4 -> 26 [size =\"19437568\"]\n  5 [size=\"101179392\", alpha=\"0.16\", expect_size=\"50589696\"] \n  5 -> 19 [size =\"50589696\"]\n  5 -> 22 [size =\"50589696\"]\n  5 -> 24 [size =\"50589696\"]\n  5 -> 25 [size =\"50589696\"]\n  5 -> 28 [size =\"50589696\"]\n  6 [size=\"14671872\", alpha=\"0.20\", expect_size=\"7335936\"] \n  6 -> 19 [size =\"7335936\"]\n  6 -> 22 [size =\"7335936\"]\n  6 -> 24 [size =\"7335936\"]\n  7 [size=\"94849024\", alpha=\"0.03\", expect_size=\"47424512\"] \n  7 -> 19 [size =\"47424512\"]\n  7 -> 20 [size =\"47424512\"]\n  7 -> 21 [size =\"47424512\"]\n  7 -> 28 [size =\"47424512\"]\n  7 -> 30 [size =\"47424512\"]\n  8 [size=\"80680960\", alpha=\"0.11\", expect_size=\"40340480\"] \n  8 -> 19 [size =\"40340480\"]\n  8 -> 20 [size =\"40340480\"]\n  8 -> 25 [size =\"40340480\"]\n  8 -> 30 [size =\"40340480\"]\n  9 [size=\"89511936\", alpha=\"0.09\", expect_size=\"44755968\"] \n  9 -> 22 [size =\"44755968\"]\n  9 -> 24 [size =\"44755968\"]\n  9 -> 27 [size =\"44755968\"]\n  9 -> 29 [size =\"44755968\"]\n  10 [size=\"55898112\", alpha=\"0.16\", expect_size=\"27949056\"] \n  10 -> 19 [size =\"27949056\"]\n  10 -> 25 [size =\"27949056\"]\n  11 [size=\"14815232\", alpha=\"0.05\", expect_size=\"7407616\"] \n  11 -> 19 [size =\"7407616\"]\n  11 -> 20 [size =\"7407616\"]\n  11 -> 22 [size =\"7407616\"]\n  11 -> 25 [size =\"7407616\"]\n  11 -> 27 [size =\"7407616\"]\n  11 -> 29 [size =\"7407616\"]\n  12 [size=\"83335168\", alpha=\"0.18\", expect_size=\"41667584\"] \n  12 -> 25 [size =\"41667584\"]\n  12 -> 26 [size =\"41667584\"]\n  12 -> 27 [size =\"41667584\"]\n  12 -> 30 [size =\"41667584\"]\n  13 [size=\"83578880\", alpha=\"0.03\", expect_size=\"41789440\"] \n  13 -> 20 [size =\"41789440\"]\n  13 -> 22 [size =\"41789440\"]\n  13 -> 25 [size =\"41789440\"]\n  13 -> 27 [size =\"41789440\"]\n  13 -> 30 [size =\"41789440\"]\n  14 [size=\"37003264\", alpha=\"0.06\", expect_size=\"18501632\"] \n  14 -> 20 [size =\"18501632\"]\n  14 -> 23 [size =\"18501632\"]\n  14 -> 30 [size =\"18501632\"]\n  15 [size=\"86745088\", alpha=\"0.08\", expect_size=\"43372544\"] \n  15 -> 20 [size =\"43372544\"]\n  15 -> 22 [size =\"43372544\"]\n  15 -> 23 [size =\"43372544\"]\n  15 -> 26 [size =\"43372544\"]\n  15 -> 27 [size =\"43372544\"]\n  15 -> 28 [size =\"43372544\"]\n  16 [size=\"68130816\", alpha=\"0.13\", expect_size=\"34065408\"] \n  16 -> 24 [size =\"34065408\"]\n  16 -> 25 [size =\"34065408\"]\n  16 -> 26 [size =\"34065408\"]\n  16 -> 27 [size =\"34065408\"]\n  17 [size=\"66117632\", alpha=\"0.03\", expect_size=\"33058816\"] \n  17 -> 25 [size =\"33058816\"]\n  17 -> 30 [size =\"33058816\"]\n  18 [size=\"77981696\", alpha=\"0.04\", expect_size=\"38990848\"] \n  18 -> 21 [size =\"38990848\"]\n  18 -> 23 [size =\"38990848\"]\n  18 -> 25 [size =\"38990848\"]\n  18 -> 26 [size =\"38990848\"]\n  18 -> 28 [size =\"38990848\"]\n  18 -> 30 [size =\"38990848\"]\n  19 [size=\"33232896\", alpha=\"0.06\", expect_size=\"16616448\"] \n  20 [size=\"76341248\", alpha=\"0.04\", expect_size=\"38170624\"] \n  21 [size=\"59424768\", alpha=\"0.06\", expect_size=\"29712384\"] \n  22 [size=\"83943424\", alpha=\"0.04\", expect_size=\"41971712\"] \n  23 [size=\"74504192\", alpha=\"0.12\", expect_size=\"37252096\"] \n  24 [size=\"87597056\", alpha=\"0.05\", expect_size=\"43798528\"] \n  25 [size=\"23040000\", alpha=\"0.18\", expect_size=\"11520000\"] \n  26 [size=\"62791680\", alpha=\"0.12\", expect_size=\"31395840\"] \n  27 [size=\"31346688\", alpha=\"0.04\", expect_size=\"15673344\"] \n  28 [size=\"44429312\", alpha=\"0.11\", expect_size=\"22214656\"] \n  29 [size=\"62617600\", alpha=\"0.14\", expect_size=\"31308800\"] \n  30 [size=\"89769984\", alpha=\"0.07\", expect_size=\"44884992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76564480\", alpha=\"0.01\", expect_size=\"30625792\"] \n  1 -> 2 [size =\"30625792\"]\n  2 [size=\"129405440\", alpha=\"0.10\", expect_size=\"51762176\"] \n  2 -> 3 [size =\"51762176\"]\n  2 -> 4 [size =\"51762176\"]\n  3 [size=\"43476480\", alpha=\"0.13\", expect_size=\"17390592\"] \n  4 [size=\"26122240\", alpha=\"0.14\", expect_size=\"10448896\"] \n  4 -> 5 [size =\"10448896\"]\n  4 -> 6 [size =\"10448896\"]\n  5 [size=\"72358400\", alpha=\"0.06\", expect_size=\"28943360\"] \n  6 [size=\"83619840\", alpha=\"0.03\", expect_size=\"33447936\"] \n  6 -> 7 [size =\"33447936\"]\n  7 [size=\"94732800\", alpha=\"0.11\", expect_size=\"37893120\"] \n  7 -> 8 [size =\"37893120\"]\n  8 [size=\"38960640\", alpha=\"0.11\", expect_size=\"15584256\"] \n  8 -> 9 [size =\"15584256\"]\n  8 -> 10 [size =\"15584256\"]\n  9 [size=\"54607360\", alpha=\"0.11\", expect_size=\"21842944\"] \n  10 [size=\"74444800\", alpha=\"0.04\", expect_size=\"29777920\"] \n  10 -> 11 [size =\"29777920\"]\n  11 [size=\"51397120\", alpha=\"0.05\", expect_size=\"20558848\"] \n  11 -> 12 [size =\"20558848\"]\n  11 -> 13 [size =\"20558848\"]\n  12 [size=\"55367680\", alpha=\"0.06\", expect_size=\"22147072\"] \n  12 -> 14 [size =\"22147072\"]\n  13 [size=\"112768000\", alpha=\"0.15\", expect_size=\"45107200\"] \n  14 [size=\"70727680\", alpha=\"0.08\", expect_size=\"28291072\"] \n  14 -> 15 [size =\"28291072\"]\n  14 -> 16 [size =\"28291072\"]\n  15 [size=\"38126080\", alpha=\"0.16\", expect_size=\"15250432\"] \n  16 [size=\"73738240\", alpha=\"0.09\", expect_size=\"29495296\"] \n  16 -> 17 [size =\"29495296\"]\n  16 -> 18 [size =\"29495296\"]\n  17 [size=\"92920320\", alpha=\"0.15\", expect_size=\"37168128\"] \n  17 -> 20 [size =\"37168128\"]\n  18 [size=\"42040320\", alpha=\"0.13\", expect_size=\"16816128\"] \n  18 -> 19 [size =\"16816128\"]\n  19 [size=\"106429440\", alpha=\"0.09\", expect_size=\"42571776\"] \n  19 -> 21 [size =\"42571776\"]\n  20 [size=\"55344640\", alpha=\"0.17\", expect_size=\"22137856\"] \n  21 [size=\"78320640\", alpha=\"0.16\", expect_size=\"31328256\"] \n  21 -> 22 [size =\"31328256\"]\n  21 -> 23 [size =\"31328256\"]\n  22 [size=\"110159360\", alpha=\"0.15\", expect_size=\"44063744\"] \n  22 -> 24 [size =\"44063744\"]\n  23 [size=\"24857600\", alpha=\"0.18\", expect_size=\"9943040\"] \n  24 [size=\"113971200\", alpha=\"0.04\", expect_size=\"45588480\"] \n  24 -> 25 [size =\"45588480\"]\n  25 [size=\"44106240\", alpha=\"0.00\", expect_size=\"17642496\"] \n  25 -> 26 [size =\"17642496\"]\n  25 -> 27 [size =\"17642496\"]\n  26 [size=\"23129600\", alpha=\"0.08\", expect_size=\"9251840\"] \n  26 -> 29 [size =\"9251840\"]\n  27 [size=\"79065600\", alpha=\"0.10\", expect_size=\"31626240\"] \n  27 -> 28 [size =\"31626240\"]\n  28 [size=\"48291840\", alpha=\"0.16\", expect_size=\"19316736\"] \n  28 -> 30 [size =\"19316736\"]\n  29 [size=\"122278400\", alpha=\"0.09\", expect_size=\"48911360\"] \n  30 [size=\"58352640\", alpha=\"0.12\", expect_size=\"23341056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115645440\", alpha=\"0.19\", expect_size=\"46258176\"] \n  1 -> 21 [size =\"46258176\"]\n  1 -> 28 [size =\"46258176\"]\n  2 [size=\"93473280\", alpha=\"0.04\", expect_size=\"37389312\"] \n  2 -> 22 [size =\"37389312\"]\n  2 -> 23 [size =\"37389312\"]\n  2 -> 28 [size =\"37389312\"]\n  3 [size=\"39787520\", alpha=\"0.01\", expect_size=\"15915008\"] \n  3 -> 22 [size =\"15915008\"]\n  4 [size=\"66114560\", alpha=\"0.05\", expect_size=\"26445824\"] \n  4 -> 22 [size =\"26445824\"]\n  4 -> 28 [size =\"26445824\"]\n  5 [size=\"122670080\", alpha=\"0.11\", expect_size=\"49068032\"] \n  5 -> 29 [size =\"49068032\"]\n  6 [size=\"25292800\", alpha=\"0.13\", expect_size=\"10117120\"] \n  6 -> 21 [size =\"10117120\"]\n  6 -> 23 [size =\"10117120\"]\n  6 -> 29 [size =\"10117120\"]\n  6 -> 30 [size =\"10117120\"]\n  7 [size=\"35043840\", alpha=\"0.19\", expect_size=\"14017536\"] \n  7 -> 22 [size =\"14017536\"]\n  7 -> 23 [size =\"14017536\"]\n  8 [size=\"99427840\", alpha=\"0.19\", expect_size=\"39771136\"] \n  8 -> 25 [size =\"39771136\"]\n  8 -> 26 [size =\"39771136\"]\n  8 -> 28 [size =\"39771136\"]\n  8 -> 29 [size =\"39771136\"]\n  9 [size=\"34465280\", alpha=\"0.17\", expect_size=\"13786112\"] \n  9 -> 21 [size =\"13786112\"]\n  9 -> 23 [size =\"13786112\"]\n  9 -> 25 [size =\"13786112\"]\n  9 -> 28 [size =\"13786112\"]\n  10 [size=\"100710400\", alpha=\"0.03\", expect_size=\"40284160\"] \n  10 -> 22 [size =\"40284160\"]\n  11 [size=\"67537920\", alpha=\"0.17\", expect_size=\"27015168\"] \n  11 -> 27 [size =\"27015168\"]\n  12 [size=\"63339520\", alpha=\"0.09\", expect_size=\"25335808\"] \n  12 -> 23 [size =\"25335808\"]\n  12 -> 24 [size =\"25335808\"]\n  13 [size=\"85219840\", alpha=\"0.10\", expect_size=\"34087936\"] \n  13 -> 22 [size =\"34087936\"]\n  13 -> 28 [size =\"34087936\"]\n  13 -> 30 [size =\"34087936\"]\n  14 [size=\"90851840\", alpha=\"0.06\", expect_size=\"36340736\"] \n  15 [size=\"118968320\", alpha=\"0.15\", expect_size=\"47587328\"] \n  15 -> 28 [size =\"47587328\"]\n  15 -> 30 [size =\"47587328\"]\n  16 [size=\"64025600\", alpha=\"0.15\", expect_size=\"25610240\"] \n  16 -> 24 [size =\"25610240\"]\n  16 -> 27 [size =\"25610240\"]\n  17 [size=\"20631040\", alpha=\"0.09\", expect_size=\"8252416\"] \n  17 -> 23 [size =\"8252416\"]\n  17 -> 28 [size =\"8252416\"]\n  18 [size=\"14056960\", alpha=\"0.09\", expect_size=\"5622784\"] \n  18 -> 26 [size =\"5622784\"]\n  18 -> 28 [size =\"5622784\"]\n  19 [size=\"126323200\", alpha=\"0.06\", expect_size=\"50529280\"] \n  19 -> 23 [size =\"50529280\"]\n  20 [size=\"107097600\", alpha=\"0.04\", expect_size=\"42839040\"] \n  20 -> 23 [size =\"42839040\"]\n  20 -> 28 [size =\"42839040\"]\n  21 [size=\"123146240\", alpha=\"0.20\", expect_size=\"49258496\"] \n  22 [size=\"106301440\", alpha=\"0.09\", expect_size=\"42520576\"] \n  23 [size=\"40629760\", alpha=\"0.02\", expect_size=\"16251904\"] \n  24 [size=\"102289920\", alpha=\"0.05\", expect_size=\"40915968\"] \n  25 [size=\"20577280\", alpha=\"0.06\", expect_size=\"8230912\"] \n  26 [size=\"109460480\", alpha=\"0.09\", expect_size=\"43784192\"] \n  27 [size=\"82872320\", alpha=\"0.16\", expect_size=\"33148928\"] \n  28 [size=\"19921920\", alpha=\"0.17\", expect_size=\"7968768\"] \n  29 [size=\"72084480\", alpha=\"0.02\", expect_size=\"28833792\"] \n  30 [size=\"110174720\", alpha=\"0.02\", expect_size=\"44069888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52514816\", alpha=\"0.16\", expect_size=\"26257408\"] \n  1 -> 3 [size =\"26257408\"]\n  1 -> 4 [size =\"26257408\"]\n  2 [size=\"42311680\", alpha=\"0.08\", expect_size=\"21155840\"] \n  2 -> 3 [size =\"21155840\"]\n  2 -> 4 [size =\"21155840\"]\n  3 [size=\"47753216\", alpha=\"0.15\", expect_size=\"23876608\"] \n  3 -> 5 [size =\"23876608\"]\n  3 -> 6 [size =\"23876608\"]\n  4 [size=\"57978880\", alpha=\"0.12\", expect_size=\"28989440\"] \n  5 [size=\"11880448\", alpha=\"0.11\", expect_size=\"5940224\"] \n  5 -> 8 [size =\"5940224\"]\n  6 [size=\"92680192\", alpha=\"0.14\", expect_size=\"46340096\"] \n  6 -> 7 [size =\"46340096\"]\n  7 [size=\"73973760\", alpha=\"0.00\", expect_size=\"36986880\"] \n  7 -> 9 [size =\"36986880\"]\n  7 -> 10 [size =\"36986880\"]\n  8 [size=\"96716800\", alpha=\"0.06\", expect_size=\"48358400\"] \n  8 -> 10 [size =\"48358400\"]\n  9 [size=\"56870912\", alpha=\"0.04\", expect_size=\"28435456\"] \n  9 -> 11 [size =\"28435456\"]\n  10 [size=\"90279936\", alpha=\"0.16\", expect_size=\"45139968\"] \n  11 [size=\"33075200\", alpha=\"0.02\", expect_size=\"16537600\"] \n  11 -> 12 [size =\"16537600\"]\n  11 -> 13 [size =\"16537600\"]\n  12 [size=\"12668928\", alpha=\"0.12\", expect_size=\"6334464\"] \n  12 -> 14 [size =\"6334464\"]\n  13 [size=\"51855360\", alpha=\"0.13\", expect_size=\"25927680\"] \n  13 -> 14 [size =\"25927680\"]\n  14 [size=\"28080128\", alpha=\"0.10\", expect_size=\"14040064\"] \n  14 -> 15 [size =\"14040064\"]\n  15 [size=\"84805632\", alpha=\"0.18\", expect_size=\"42402816\"] \n  15 -> 16 [size =\"42402816\"]\n  16 [size=\"44240896\", alpha=\"0.02\", expect_size=\"22120448\"] \n  16 -> 17 [size =\"22120448\"]\n  16 -> 18 [size =\"22120448\"]\n  17 [size=\"14673920\", alpha=\"0.12\", expect_size=\"7336960\"] \n  17 -> 19 [size =\"7336960\"]\n  18 [size=\"16224256\", alpha=\"0.13\", expect_size=\"8112128\"] \n  18 -> 19 [size =\"8112128\"]\n  19 [size=\"42735616\", alpha=\"0.01\", expect_size=\"21367808\"] \n  19 -> 20 [size =\"21367808\"]\n  19 -> 21 [size =\"21367808\"]\n  20 [size=\"59994112\", alpha=\"0.06\", expect_size=\"29997056\"] \n  21 [size=\"41408512\", alpha=\"0.01\", expect_size=\"20704256\"] \n  21 -> 22 [size =\"20704256\"]\n  22 [size=\"52750336\", alpha=\"0.02\", expect_size=\"26375168\"] \n  22 -> 23 [size =\"26375168\"]\n  22 -> 24 [size =\"26375168\"]\n  23 [size=\"12969984\", alpha=\"0.11\", expect_size=\"6484992\"] \n  23 -> 25 [size =\"6484992\"]\n  24 [size=\"75331584\", alpha=\"0.10\", expect_size=\"37665792\"] \n  25 [size=\"29075456\", alpha=\"0.09\", expect_size=\"14537728\"] \n  25 -> 26 [size =\"14537728\"]\n  25 -> 27 [size =\"14537728\"]\n  26 [size=\"19668992\", alpha=\"0.06\", expect_size=\"9834496\"] \n  26 -> 28 [size =\"9834496\"]\n  27 [size=\"30908416\", alpha=\"0.16\", expect_size=\"15454208\"] \n  27 -> 29 [size =\"15454208\"]\n  28 [size=\"88322048\", alpha=\"0.05\", expect_size=\"44161024\"] \n  28 -> 30 [size =\"44161024\"]\n  29 [size=\"56084480\", alpha=\"0.03\", expect_size=\"28042240\"] \n  30 [size=\"60155904\", alpha=\"0.19\", expect_size=\"30077952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65249280\", alpha=\"0.14\", expect_size=\"32624640\"] \n  1 -> 16 [size =\"32624640\"]\n  1 -> 18 [size =\"32624640\"]\n  1 -> 22 [size =\"32624640\"]\n  1 -> 23 [size =\"32624640\"]\n  1 -> 25 [size =\"32624640\"]\n  1 -> 26 [size =\"32624640\"]\n  1 -> 28 [size =\"32624640\"]\n  1 -> 29 [size =\"32624640\"]\n  1 -> 30 [size =\"32624640\"]\n  2 [size=\"16631808\", alpha=\"0.17\", expect_size=\"8315904\"] \n  2 -> 16 [size =\"8315904\"]\n  2 -> 19 [size =\"8315904\"]\n  2 -> 20 [size =\"8315904\"]\n  2 -> 22 [size =\"8315904\"]\n  2 -> 25 [size =\"8315904\"]\n  2 -> 28 [size =\"8315904\"]\n  2 -> 29 [size =\"8315904\"]\n  2 -> 29 [size =\"8315904\"]\n  2 -> 30 [size =\"8315904\"]\n  3 [size=\"52844544\", alpha=\"0.12\", expect_size=\"26422272\"] \n  3 -> 16 [size =\"26422272\"]\n  3 -> 17 [size =\"26422272\"]\n  3 -> 18 [size =\"26422272\"]\n  3 -> 21 [size =\"26422272\"]\n  3 -> 22 [size =\"26422272\"]\n  3 -> 23 [size =\"26422272\"]\n  3 -> 25 [size =\"26422272\"]\n  3 -> 26 [size =\"26422272\"]\n  3 -> 29 [size =\"26422272\"]\n  3 -> 30 [size =\"26422272\"]\n  4 [size=\"66906112\", alpha=\"0.19\", expect_size=\"33453056\"] \n  4 -> 16 [size =\"33453056\"]\n  4 -> 17 [size =\"33453056\"]\n  4 -> 18 [size =\"33453056\"]\n  4 -> 19 [size =\"33453056\"]\n  4 -> 20 [size =\"33453056\"]\n  4 -> 21 [size =\"33453056\"]\n  4 -> 23 [size =\"33453056\"]\n  4 -> 25 [size =\"33453056\"]\n  4 -> 29 [size =\"33453056\"]\n  4 -> 30 [size =\"33453056\"]\n  5 [size=\"95078400\", alpha=\"0.15\", expect_size=\"47539200\"] \n  5 -> 16 [size =\"47539200\"]\n  5 -> 18 [size =\"47539200\"]\n  5 -> 20 [size =\"47539200\"]\n  5 -> 21 [size =\"47539200\"]\n  5 -> 24 [size =\"47539200\"]\n  5 -> 28 [size =\"47539200\"]\n  5 -> 29 [size =\"47539200\"]\n  5 -> 30 [size =\"47539200\"]\n  6 [size=\"25767936\", alpha=\"0.06\", expect_size=\"12883968\"] \n  6 -> 20 [size =\"12883968\"]\n  6 -> 21 [size =\"12883968\"]\n  6 -> 25 [size =\"12883968\"]\n  6 -> 26 [size =\"12883968\"]\n  6 -> 28 [size =\"12883968\"]\n  6 -> 30 [size =\"12883968\"]\n  7 [size=\"102731776\", alpha=\"0.05\", expect_size=\"51365888\"] \n  7 -> 17 [size =\"51365888\"]\n  7 -> 18 [size =\"51365888\"]\n  7 -> 21 [size =\"51365888\"]\n  7 -> 25 [size =\"51365888\"]\n  7 -> 29 [size =\"51365888\"]\n  7 -> 30 [size =\"51365888\"]\n  8 [size=\"78336000\", alpha=\"0.18\", expect_size=\"39168000\"] \n  8 -> 16 [size =\"39168000\"]\n  8 -> 20 [size =\"39168000\"]\n  8 -> 21 [size =\"39168000\"]\n  8 -> 22 [size =\"39168000\"]\n  8 -> 25 [size =\"39168000\"]\n  8 -> 26 [size =\"39168000\"]\n  8 -> 27 [size =\"39168000\"]\n  8 -> 30 [size =\"39168000\"]\n  9 [size=\"12724224\", alpha=\"0.04\", expect_size=\"6362112\"] \n  9 -> 17 [size =\"6362112\"]\n  9 -> 20 [size =\"6362112\"]\n  9 -> 21 [size =\"6362112\"]\n  9 -> 22 [size =\"6362112\"]\n  9 -> 25 [size =\"6362112\"]\n  9 -> 26 [size =\"6362112\"]\n  9 -> 27 [size =\"6362112\"]\n  9 -> 29 [size =\"6362112\"]\n  9 -> 30 [size =\"6362112\"]\n  10 [size=\"57923584\", alpha=\"0.09\", expect_size=\"28961792\"] \n  10 -> 16 [size =\"28961792\"]\n  10 -> 18 [size =\"28961792\"]\n  10 -> 20 [size =\"28961792\"]\n  10 -> 21 [size =\"28961792\"]\n  10 -> 22 [size =\"28961792\"]\n  10 -> 23 [size =\"28961792\"]\n  10 -> 26 [size =\"28961792\"]\n  10 -> 28 [size =\"28961792\"]\n  10 -> 29 [size =\"28961792\"]\n  10 -> 30 [size =\"28961792\"]\n  11 [size=\"45891584\", alpha=\"0.19\", expect_size=\"22945792\"] \n  11 -> 16 [size =\"22945792\"]\n  11 -> 17 [size =\"22945792\"]\n  11 -> 18 [size =\"22945792\"]\n  11 -> 21 [size =\"22945792\"]\n  11 -> 22 [size =\"22945792\"]\n  11 -> 25 [size =\"22945792\"]\n  11 -> 26 [size =\"22945792\"]\n  11 -> 29 [size =\"22945792\"]\n  12 [size=\"17799168\", alpha=\"0.20\", expect_size=\"8899584\"] \n  12 -> 17 [size =\"8899584\"]\n  12 -> 18 [size =\"8899584\"]\n  12 -> 19 [size =\"8899584\"]\n  12 -> 20 [size =\"8899584\"]\n  12 -> 21 [size =\"8899584\"]\n  12 -> 22 [size =\"8899584\"]\n  12 -> 26 [size =\"8899584\"]\n  12 -> 28 [size =\"8899584\"]\n  12 -> 29 [size =\"8899584\"]\n  12 -> 30 [size =\"8899584\"]\n  13 [size=\"99696640\", alpha=\"0.18\", expect_size=\"49848320\"] \n  13 -> 17 [size =\"49848320\"]\n  13 -> 18 [size =\"49848320\"]\n  13 -> 20 [size =\"49848320\"]\n  13 -> 21 [size =\"49848320\"]\n  13 -> 21 [size =\"49848320\"]\n  13 -> 22 [size =\"49848320\"]\n  13 -> 25 [size =\"49848320\"]\n  13 -> 26 [size =\"49848320\"]\n  13 -> 28 [size =\"49848320\"]\n  13 -> 29 [size =\"49848320\"]\n  14 [size=\"60854272\", alpha=\"0.16\", expect_size=\"30427136\"] \n  14 -> 16 [size =\"30427136\"]\n  14 -> 18 [size =\"30427136\"]\n  14 -> 21 [size =\"30427136\"]\n  14 -> 21 [size =\"30427136\"]\n  14 -> 22 [size =\"30427136\"]\n  14 -> 22 [size =\"30427136\"]\n  14 -> 25 [size =\"30427136\"]\n  14 -> 28 [size =\"30427136\"]\n  14 -> 29 [size =\"30427136\"]\n  14 -> 30 [size =\"30427136\"]\n  15 [size=\"56033280\", alpha=\"0.02\", expect_size=\"28016640\"] \n  15 -> 16 [size =\"28016640\"]\n  15 -> 18 [size =\"28016640\"]\n  15 -> 20 [size =\"28016640\"]\n  15 -> 25 [size =\"28016640\"]\n  15 -> 26 [size =\"28016640\"]\n  15 -> 28 [size =\"28016640\"]\n  15 -> 29 [size =\"28016640\"]\n  15 -> 30 [size =\"28016640\"]\n  16 [size=\"33857536\", alpha=\"0.08\", expect_size=\"16928768\"] \n  17 [size=\"60735488\", alpha=\"0.16\", expect_size=\"30367744\"] \n  18 [size=\"85463040\", alpha=\"0.14\", expect_size=\"42731520\"] \n  19 [size=\"73834496\", alpha=\"0.17\", expect_size=\"36917248\"] \n  20 [size=\"94267392\", alpha=\"0.15\", expect_size=\"47133696\"] \n  21 [size=\"42426368\", alpha=\"0.04\", expect_size=\"21213184\"] \n  22 [size=\"38096896\", alpha=\"0.14\", expect_size=\"19048448\"] \n  23 [size=\"36816896\", alpha=\"0.13\", expect_size=\"18408448\"] \n  24 [size=\"28030976\", alpha=\"0.04\", expect_size=\"14015488\"] \n  25 [size=\"103471104\", alpha=\"0.13\", expect_size=\"51735552\"] \n  26 [size=\"17319936\", alpha=\"0.06\", expect_size=\"8659968\"] \n  27 [size=\"53614592\", alpha=\"0.18\", expect_size=\"26807296\"] \n  28 [size=\"34484224\", alpha=\"0.04\", expect_size=\"17242112\"] \n  29 [size=\"100167680\", alpha=\"0.11\", expect_size=\"50083840\"] \n  30 [size=\"87308288\", alpha=\"0.07\", expect_size=\"43654144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124884480\", alpha=\"0.02\", expect_size=\"49953792\"] \n  1 -> 5 [size =\"49953792\"]\n  1 -> 7 [size =\"49953792\"]\n  2 [size=\"24291840\", alpha=\"0.14\", expect_size=\"9716736\"] \n  2 -> 5 [size =\"9716736\"]\n  3 [size=\"17502720\", alpha=\"0.04\", expect_size=\"7001088\"] \n  3 -> 6 [size =\"7001088\"]\n  4 [size=\"85043200\", alpha=\"0.13\", expect_size=\"34017280\"] \n  4 -> 5 [size =\"34017280\"]\n  4 -> 6 [size =\"34017280\"]\n  4 -> 7 [size =\"34017280\"]\n  4 -> 8 [size =\"34017280\"]\n  5 [size=\"82265600\", alpha=\"0.20\", expect_size=\"32906240\"] \n  5 -> 10 [size =\"32906240\"]\n  6 [size=\"29729280\", alpha=\"0.07\", expect_size=\"11891712\"] \n  6 -> 9 [size =\"11891712\"]\n  6 -> 11 [size =\"11891712\"]\n  6 -> 12 [size =\"11891712\"]\n  6 -> 13 [size =\"11891712\"]\n  7 [size=\"107855360\", alpha=\"0.11\", expect_size=\"43142144\"] \n  7 -> 11 [size =\"43142144\"]\n  7 -> 12 [size =\"43142144\"]\n  7 -> 13 [size =\"43142144\"]\n  8 [size=\"114905600\", alpha=\"0.11\", expect_size=\"45962240\"] \n  8 -> 9 [size =\"45962240\"]\n  8 -> 10 [size =\"45962240\"]\n  9 [size=\"49228800\", alpha=\"0.05\", expect_size=\"19691520\"] \n  9 -> 15 [size =\"19691520\"]\n  10 [size=\"124090880\", alpha=\"0.15\", expect_size=\"49636352\"] \n  10 -> 18 [size =\"49636352\"]\n  11 [size=\"93852160\", alpha=\"0.16\", expect_size=\"37540864\"] \n  11 -> 16 [size =\"37540864\"]\n  12 [size=\"102968320\", alpha=\"0.04\", expect_size=\"41187328\"] \n  12 -> 14 [size =\"41187328\"]\n  13 [size=\"65267200\", alpha=\"0.11\", expect_size=\"26106880\"] \n  13 -> 14 [size =\"26106880\"]\n  13 -> 15 [size =\"26106880\"]\n  13 -> 16 [size =\"26106880\"]\n  13 -> 17 [size =\"26106880\"]\n  13 -> 18 [size =\"26106880\"]\n  14 [size=\"87649280\", alpha=\"0.05\", expect_size=\"35059712\"] \n  14 -> 21 [size =\"35059712\"]\n  14 -> 23 [size =\"35059712\"]\n  14 -> 23 [size =\"35059712\"]\n  15 [size=\"48000000\", alpha=\"0.17\", expect_size=\"19200000\"] \n  15 -> 19 [size =\"19200000\"]\n  15 -> 21 [size =\"19200000\"]\n  16 [size=\"47733760\", alpha=\"0.06\", expect_size=\"19093504\"] \n  16 -> 21 [size =\"19093504\"]\n  16 -> 22 [size =\"19093504\"]\n  17 [size=\"86732800\", alpha=\"0.14\", expect_size=\"34693120\"] \n  17 -> 20 [size =\"34693120\"]\n  17 -> 22 [size =\"34693120\"]\n  18 [size=\"30914560\", alpha=\"0.06\", expect_size=\"12365824\"] \n  18 -> 19 [size =\"12365824\"]\n  18 -> 22 [size =\"12365824\"]\n  18 -> 23 [size =\"12365824\"]\n  19 [size=\"97175040\", alpha=\"0.02\", expect_size=\"38870016\"] \n  19 -> 24 [size =\"38870016\"]\n  20 [size=\"125585920\", alpha=\"0.09\", expect_size=\"50234368\"] \n  21 [size=\"94917120\", alpha=\"0.15\", expect_size=\"37966848\"] \n  21 -> 24 [size =\"37966848\"]\n  21 -> 26 [size =\"37966848\"]\n  21 -> 27 [size =\"37966848\"]\n  22 [size=\"70246400\", alpha=\"0.03\", expect_size=\"28098560\"] \n  22 -> 25 [size =\"28098560\"]\n  22 -> 26 [size =\"28098560\"]\n  22 -> 27 [size =\"28098560\"]\n  23 [size=\"94056960\", alpha=\"0.11\", expect_size=\"37622784\"] \n  23 -> 26 [size =\"37622784\"]\n  24 [size=\"43176960\", alpha=\"0.12\", expect_size=\"17270784\"] \n  24 -> 29 [size =\"17270784\"]\n  24 -> 30 [size =\"17270784\"]\n  25 [size=\"71951360\", alpha=\"0.05\", expect_size=\"28780544\"] \n  25 -> 28 [size =\"28780544\"]\n  26 [size=\"53990400\", alpha=\"0.00\", expect_size=\"21596160\"] \n  26 -> 28 [size =\"21596160\"]\n  26 -> 29 [size =\"21596160\"]\n  27 [size=\"87831040\", alpha=\"0.12\", expect_size=\"35132416\"] \n  27 -> 29 [size =\"35132416\"]\n  28 [size=\"52843520\", alpha=\"0.00\", expect_size=\"21137408\"] \n  29 [size=\"88394240\", alpha=\"0.15\", expect_size=\"35357696\"] \n  30 [size=\"99141120\", alpha=\"0.09\", expect_size=\"39656448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17707520\", alpha=\"0.15\", expect_size=\"7083008\"] \n  1 -> 7 [size =\"7083008\"]\n  1 -> 8 [size =\"7083008\"]\n  2 [size=\"26754560\", alpha=\"0.10\", expect_size=\"10701824\"] \n  2 -> 6 [size =\"10701824\"]\n  2 -> 8 [size =\"10701824\"]\n  3 [size=\"30031360\", alpha=\"0.12\", expect_size=\"12012544\"] \n  4 [size=\"69332480\", alpha=\"0.11\", expect_size=\"27732992\"] \n  4 -> 6 [size =\"27732992\"]\n  4 -> 7 [size =\"27732992\"]\n  5 [size=\"121016320\", alpha=\"0.12\", expect_size=\"48406528\"] \n  5 -> 7 [size =\"48406528\"]\n  6 [size=\"19338240\", alpha=\"0.16\", expect_size=\"7735296\"] \n  6 -> 9 [size =\"7735296\"]\n  6 -> 10 [size =\"7735296\"]\n  6 -> 11 [size =\"7735296\"]\n  7 [size=\"103936000\", alpha=\"0.09\", expect_size=\"41574400\"] \n  7 -> 9 [size =\"41574400\"]\n  7 -> 10 [size =\"41574400\"]\n  7 -> 11 [size =\"41574400\"]\n  7 -> 12 [size =\"41574400\"]\n  7 -> 13 [size =\"41574400\"]\n  8 [size=\"78978560\", alpha=\"0.16\", expect_size=\"31591424\"] \n  8 -> 9 [size =\"31591424\"]\n  8 -> 10 [size =\"31591424\"]\n  8 -> 11 [size =\"31591424\"]\n  9 [size=\"39185920\", alpha=\"0.12\", expect_size=\"15674368\"] \n  9 -> 14 [size =\"15674368\"]\n  9 -> 15 [size =\"15674368\"]\n  9 -> 16 [size =\"15674368\"]\n  10 [size=\"71984640\", alpha=\"0.01\", expect_size=\"28793856\"] \n  10 -> 15 [size =\"28793856\"]\n  10 -> 15 [size =\"28793856\"]\n  10 -> 16 [size =\"28793856\"]\n  11 [size=\"68385280\", alpha=\"0.04\", expect_size=\"27354112\"] \n  11 -> 15 [size =\"27354112\"]\n  11 -> 16 [size =\"27354112\"]\n  12 [size=\"39027200\", alpha=\"0.09\", expect_size=\"15610880\"] \n  12 -> 17 [size =\"15610880\"]\n  13 [size=\"96632320\", alpha=\"0.06\", expect_size=\"38652928\"] \n  13 -> 15 [size =\"38652928\"]\n  14 [size=\"51233280\", alpha=\"0.20\", expect_size=\"20493312\"] \n  14 -> 20 [size =\"20493312\"]\n  14 -> 21 [size =\"20493312\"]\n  14 -> 22 [size =\"20493312\"]\n  14 -> 23 [size =\"20493312\"]\n  15 [size=\"116999680\", alpha=\"0.15\", expect_size=\"46799872\"] \n  15 -> 19 [size =\"46799872\"]\n  15 -> 20 [size =\"46799872\"]\n  15 -> 21 [size =\"46799872\"]\n  15 -> 22 [size =\"46799872\"]\n  16 [size=\"71523840\", alpha=\"0.18\", expect_size=\"28609536\"] \n  16 -> 18 [size =\"28609536\"]\n  16 -> 20 [size =\"28609536\"]\n  16 -> 21 [size =\"28609536\"]\n  16 -> 22 [size =\"28609536\"]\n  16 -> 23 [size =\"28609536\"]\n  17 [size=\"47846400\", alpha=\"0.05\", expect_size=\"19138560\"] \n  17 -> 20 [size =\"19138560\"]\n  17 -> 21 [size =\"19138560\"]\n  17 -> 22 [size =\"19138560\"]\n  17 -> 23 [size =\"19138560\"]\n  17 -> 23 [size =\"19138560\"]\n  18 [size=\"98403840\", alpha=\"0.20\", expect_size=\"39361536\"] \n  18 -> 24 [size =\"39361536\"]\n  18 -> 25 [size =\"39361536\"]\n  18 -> 27 [size =\"39361536\"]\n  19 [size=\"75491840\", alpha=\"0.15\", expect_size=\"30196736\"] \n  19 -> 24 [size =\"30196736\"]\n  19 -> 25 [size =\"30196736\"]\n  19 -> 26 [size =\"30196736\"]\n  19 -> 27 [size =\"30196736\"]\n  20 [size=\"27307520\", alpha=\"0.08\", expect_size=\"10923008\"] \n  20 -> 24 [size =\"10923008\"]\n  20 -> 25 [size =\"10923008\"]\n  20 -> 27 [size =\"10923008\"]\n  21 [size=\"31290880\", alpha=\"0.03\", expect_size=\"12516352\"] \n  21 -> 26 [size =\"12516352\"]\n  21 -> 27 [size =\"12516352\"]\n  22 [size=\"54535680\", alpha=\"0.19\", expect_size=\"21814272\"] \n  22 -> 24 [size =\"21814272\"]\n  22 -> 25 [size =\"21814272\"]\n  22 -> 26 [size =\"21814272\"]\n  22 -> 27 [size =\"21814272\"]\n  23 [size=\"105651200\", alpha=\"0.19\", expect_size=\"42260480\"] \n  23 -> 26 [size =\"42260480\"]\n  24 [size=\"21306880\", alpha=\"0.08\", expect_size=\"8522752\"] \n  24 -> 28 [size =\"8522752\"]\n  24 -> 29 [size =\"8522752\"]\n  24 -> 30 [size =\"8522752\"]\n  25 [size=\"20183040\", alpha=\"0.15\", expect_size=\"8073216\"] \n  25 -> 28 [size =\"8073216\"]\n  25 -> 29 [size =\"8073216\"]\n  25 -> 30 [size =\"8073216\"]\n  26 [size=\"107586560\", alpha=\"0.04\", expect_size=\"43034624\"] \n  26 -> 28 [size =\"43034624\"]\n  26 -> 29 [size =\"43034624\"]\n  26 -> 30 [size =\"43034624\"]\n  27 [size=\"98667520\", alpha=\"0.07\", expect_size=\"39467008\"] \n  27 -> 28 [size =\"39467008\"]\n  27 -> 29 [size =\"39467008\"]\n  27 -> 30 [size =\"39467008\"]\n  28 [size=\"129674240\", alpha=\"0.02\", expect_size=\"51869696\"] \n  29 [size=\"128663040\", alpha=\"0.02\", expect_size=\"51465216\"] \n  30 [size=\"97822720\", alpha=\"0.11\", expect_size=\"39129088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21329920\", alpha=\"0.14\", expect_size=\"6398976\"] \n  1 -> 2 [size =\"6398976\"]\n  2 [size=\"161140053\", alpha=\"0.20\", expect_size=\"48342016\"] \n  2 -> 3 [size =\"48342016\"]\n  3 [size=\"63839573\", alpha=\"0.12\", expect_size=\"19151872\"] \n  3 -> 4 [size =\"19151872\"]\n  4 [size=\"106530133\", alpha=\"0.15\", expect_size=\"31959040\"] \n  4 -> 5 [size =\"31959040\"]\n  5 [size=\"36829867\", alpha=\"0.10\", expect_size=\"11048960\"] \n  5 -> 6 [size =\"11048960\"]\n  6 [size=\"88920747\", alpha=\"0.06\", expect_size=\"26676224\"] \n  6 -> 7 [size =\"26676224\"]\n  7 [size=\"46407680\", alpha=\"0.11\", expect_size=\"13922304\"] \n  7 -> 8 [size =\"13922304\"]\n  8 [size=\"29139627\", alpha=\"0.00\", expect_size=\"8741888\"] \n  8 -> 9 [size =\"8741888\"]\n  9 [size=\"173827413\", alpha=\"0.05\", expect_size=\"52148224\"] \n  9 -> 10 [size =\"52148224\"]\n  10 [size=\"134693547\", alpha=\"0.09\", expect_size=\"40408064\"] \n  10 -> 11 [size =\"40408064\"]\n  11 [size=\"32163840\", alpha=\"0.01\", expect_size=\"9649152\"] \n  11 -> 12 [size =\"9649152\"]\n  12 [size=\"140892160\", alpha=\"0.02\", expect_size=\"42267648\"] \n  12 -> 13 [size =\"42267648\"]\n  13 [size=\"139055787\", alpha=\"0.16\", expect_size=\"41716736\"] \n  13 -> 14 [size =\"41716736\"]\n  14 [size=\"78489600\", alpha=\"0.19\", expect_size=\"23546880\"] \n  14 -> 15 [size =\"23546880\"]\n  15 [size=\"38615040\", alpha=\"0.07\", expect_size=\"11584512\"] \n  15 -> 16 [size =\"11584512\"]\n  16 [size=\"115633493\", alpha=\"0.16\", expect_size=\"34690048\"] \n  16 -> 17 [size =\"34690048\"]\n  17 [size=\"166710613\", alpha=\"0.13\", expect_size=\"50013184\"] \n  17 -> 18 [size =\"50013184\"]\n  18 [size=\"97075200\", alpha=\"0.05\", expect_size=\"29122560\"] \n  18 -> 19 [size =\"29122560\"]\n  19 [size=\"98389333\", alpha=\"0.02\", expect_size=\"29516800\"] \n  19 -> 20 [size =\"29516800\"]\n  20 [size=\"134225920\", alpha=\"0.15\", expect_size=\"40267776\"] \n  20 -> 21 [size =\"40267776\"]\n  21 [size=\"49302187\", alpha=\"0.08\", expect_size=\"14790656\"] \n  21 -> 22 [size =\"14790656\"]\n  22 [size=\"60163413\", alpha=\"0.00\", expect_size=\"18049024\"] \n  22 -> 23 [size =\"18049024\"]\n  23 [size=\"74813440\", alpha=\"0.18\", expect_size=\"22444032\"] \n  23 -> 24 [size =\"22444032\"]\n  24 [size=\"44130987\", alpha=\"0.07\", expect_size=\"13239296\"] \n  24 -> 25 [size =\"13239296\"]\n  25 [size=\"33546240\", alpha=\"0.18\", expect_size=\"10063872\"] \n  25 -> 26 [size =\"10063872\"]\n  26 [size=\"87968427\", alpha=\"0.19\", expect_size=\"26390528\"] \n  26 -> 27 [size =\"26390528\"]\n  27 [size=\"54538240\", alpha=\"0.03\", expect_size=\"16361472\"] \n  27 -> 28 [size =\"16361472\"]\n  28 [size=\"159211520\", alpha=\"0.09\", expect_size=\"47763456\"] \n  28 -> 29 [size =\"47763456\"]\n  29 [size=\"42506240\", alpha=\"0.14\", expect_size=\"12751872\"] \n  29 -> 30 [size =\"12751872\"]\n  30 [size=\"58094933\", alpha=\"0.15\", expect_size=\"17428480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98014720\", alpha=\"0.02\", expect_size=\"39205888\"] \n  1 -> 4 [size =\"39205888\"]\n  2 [size=\"31278080\", alpha=\"0.02\", expect_size=\"12511232\"] \n  2 -> 4 [size =\"12511232\"]\n  2 -> 5 [size =\"12511232\"]\n  2 -> 6 [size =\"12511232\"]\n  2 -> 7 [size =\"12511232\"]\n  3 [size=\"54484480\", alpha=\"0.09\", expect_size=\"21793792\"] \n  3 -> 5 [size =\"21793792\"]\n  3 -> 7 [size =\"21793792\"]\n  4 [size=\"37040640\", alpha=\"0.07\", expect_size=\"14816256\"] \n  4 -> 8 [size =\"14816256\"]\n  4 -> 9 [size =\"14816256\"]\n  4 -> 13 [size =\"14816256\"]\n  5 [size=\"20362240\", alpha=\"0.17\", expect_size=\"8144896\"] \n  5 -> 8 [size =\"8144896\"]\n  5 -> 9 [size =\"8144896\"]\n  5 -> 11 [size =\"8144896\"]\n  6 [size=\"55920640\", alpha=\"0.04\", expect_size=\"22368256\"] \n  6 -> 8 [size =\"22368256\"]\n  6 -> 9 [size =\"22368256\"]\n  6 -> 12 [size =\"22368256\"]\n  6 -> 13 [size =\"22368256\"]\n  7 [size=\"93954560\", alpha=\"0.04\", expect_size=\"37581824\"] \n  7 -> 10 [size =\"37581824\"]\n  7 -> 12 [size =\"37581824\"]\n  8 [size=\"122324480\", alpha=\"0.05\", expect_size=\"48929792\"] \n  9 [size=\"15577600\", alpha=\"0.05\", expect_size=\"6231040\"] \n  10 [size=\"22333440\", alpha=\"0.12\", expect_size=\"8933376\"] \n  10 -> 14 [size =\"8933376\"]\n  10 -> 15 [size =\"8933376\"]\n  11 [size=\"129948160\", alpha=\"0.10\", expect_size=\"51979264\"] \n  11 -> 14 [size =\"51979264\"]\n  11 -> 15 [size =\"51979264\"]\n  11 -> 16 [size =\"51979264\"]\n  12 [size=\"22420480\", alpha=\"0.07\", expect_size=\"8968192\"] \n  12 -> 14 [size =\"8968192\"]\n  12 -> 15 [size =\"8968192\"]\n  13 [size=\"33297920\", alpha=\"0.04\", expect_size=\"13319168\"] \n  13 -> 14 [size =\"13319168\"]\n  13 -> 15 [size =\"13319168\"]\n  13 -> 16 [size =\"13319168\"]\n  14 [size=\"86676480\", alpha=\"0.09\", expect_size=\"34670592\"] \n  14 -> 17 [size =\"34670592\"]\n  14 -> 20 [size =\"34670592\"]\n  14 -> 21 [size =\"34670592\"]\n  15 [size=\"125557760\", alpha=\"0.10\", expect_size=\"50223104\"] \n  15 -> 18 [size =\"50223104\"]\n  15 -> 19 [size =\"50223104\"]\n  15 -> 20 [size =\"50223104\"]\n  16 [size=\"105648640\", alpha=\"0.14\", expect_size=\"42259456\"] \n  16 -> 19 [size =\"42259456\"]\n  16 -> 20 [size =\"42259456\"]\n  17 [size=\"13422080\", alpha=\"0.17\", expect_size=\"5368832\"] \n  17 -> 22 [size =\"5368832\"]\n  17 -> 24 [size =\"5368832\"]\n  18 [size=\"38443520\", alpha=\"0.17\", expect_size=\"15377408\"] \n  18 -> 22 [size =\"15377408\"]\n  18 -> 24 [size =\"15377408\"]\n  19 [size=\"70609920\", alpha=\"0.00\", expect_size=\"28243968\"] \n  19 -> 22 [size =\"28243968\"]\n  19 -> 24 [size =\"28243968\"]\n  20 [size=\"102525440\", alpha=\"0.17\", expect_size=\"41010176\"] \n  20 -> 24 [size =\"41010176\"]\n  20 -> 25 [size =\"41010176\"]\n  21 [size=\"55106560\", alpha=\"0.08\", expect_size=\"22042624\"] \n  21 -> 23 [size =\"22042624\"]\n  22 [size=\"112412160\", alpha=\"0.02\", expect_size=\"44964864\"] \n  22 -> 27 [size =\"44964864\"]\n  22 -> 28 [size =\"44964864\"]\n  22 -> 30 [size =\"44964864\"]\n  23 [size=\"38420480\", alpha=\"0.03\", expect_size=\"15368192\"] \n  23 -> 27 [size =\"15368192\"]\n  23 -> 29 [size =\"15368192\"]\n  24 [size=\"61386240\", alpha=\"0.09\", expect_size=\"24554496\"] \n  24 -> 26 [size =\"24554496\"]\n  24 -> 27 [size =\"24554496\"]\n  24 -> 30 [size =\"24554496\"]\n  25 [size=\"115863040\", alpha=\"0.15\", expect_size=\"46345216\"] \n  25 -> 28 [size =\"46345216\"]\n  26 [size=\"57722880\", alpha=\"0.09\", expect_size=\"23089152\"] \n  27 [size=\"20136960\", alpha=\"0.16\", expect_size=\"8054784\"] \n  28 [size=\"122316800\", alpha=\"0.02\", expect_size=\"48926720\"] \n  29 [size=\"105597440\", alpha=\"0.08\", expect_size=\"42238976\"] \n  30 [size=\"108203520\", alpha=\"0.16\", expect_size=\"43281408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85278720\", alpha=\"0.18\", expect_size=\"25583616\"] \n  1 -> 2 [size =\"25583616\"]\n  2 [size=\"122371413\", alpha=\"0.02\", expect_size=\"36711424\"] \n  2 -> 3 [size =\"36711424\"]\n  2 -> 4 [size =\"36711424\"]\n  3 [size=\"110325760\", alpha=\"0.12\", expect_size=\"33097728\"] \n  4 [size=\"94405973\", alpha=\"0.02\", expect_size=\"28321792\"] \n  4 -> 5 [size =\"28321792\"]\n  5 [size=\"31443627\", alpha=\"0.13\", expect_size=\"9433088\"] \n  5 -> 6 [size =\"9433088\"]\n  5 -> 7 [size =\"9433088\"]\n  6 [size=\"151756800\", alpha=\"0.09\", expect_size=\"45527040\"] \n  6 -> 8 [size =\"45527040\"]\n  7 [size=\"150770347\", alpha=\"0.12\", expect_size=\"45231104\"] \n  7 -> 9 [size =\"45231104\"]\n  8 [size=\"104338773\", alpha=\"0.01\", expect_size=\"31301632\"] \n  8 -> 10 [size =\"31301632\"]\n  9 [size=\"151207253\", alpha=\"0.12\", expect_size=\"45362176\"] \n  10 [size=\"117736107\", alpha=\"0.20\", expect_size=\"35320832\"] \n  10 -> 11 [size =\"35320832\"]\n  10 -> 12 [size =\"35320832\"]\n  11 [size=\"67409920\", alpha=\"0.15\", expect_size=\"20222976\"] \n  11 -> 13 [size =\"20222976\"]\n  12 [size=\"52408320\", alpha=\"0.18\", expect_size=\"15722496\"] \n  12 -> 14 [size =\"15722496\"]\n  13 [size=\"66618027\", alpha=\"0.20\", expect_size=\"19985408\"] \n  14 [size=\"161505280\", alpha=\"0.08\", expect_size=\"48451584\"] \n  14 -> 15 [size =\"48451584\"]\n  15 [size=\"19677867\", alpha=\"0.20\", expect_size=\"5903360\"] \n  15 -> 16 [size =\"5903360\"]\n  16 [size=\"118900053\", alpha=\"0.15\", expect_size=\"35670016\"] \n  16 -> 17 [size =\"35670016\"]\n  16 -> 18 [size =\"35670016\"]\n  17 [size=\"30306987\", alpha=\"0.14\", expect_size=\"9092096\"] \n  18 [size=\"125487787\", alpha=\"0.02\", expect_size=\"37646336\"] \n  18 -> 19 [size =\"37646336\"]\n  19 [size=\"134000640\", alpha=\"0.17\", expect_size=\"40200192\"] \n  19 -> 20 [size =\"40200192\"]\n  20 [size=\"73294507\", alpha=\"0.16\", expect_size=\"21988352\"] \n  20 -> 21 [size =\"21988352\"]\n  21 [size=\"72041813\", alpha=\"0.04\", expect_size=\"21612544\"] \n  21 -> 22 [size =\"21612544\"]\n  22 [size=\"33058133\", alpha=\"0.05\", expect_size=\"9917440\"] \n  22 -> 23 [size =\"9917440\"]\n  22 -> 24 [size =\"9917440\"]\n  23 [size=\"172448427\", alpha=\"0.18\", expect_size=\"51734528\"] \n  24 [size=\"170158080\", alpha=\"0.00\", expect_size=\"51047424\"] \n  24 -> 25 [size =\"51047424\"]\n  24 -> 26 [size =\"51047424\"]\n  25 [size=\"74891947\", alpha=\"0.05\", expect_size=\"22467584\"] \n  25 -> 27 [size =\"22467584\"]\n  26 [size=\"74574507\", alpha=\"0.06\", expect_size=\"22372352\"] \n  27 [size=\"32539307\", alpha=\"0.04\", expect_size=\"9761792\"] \n  27 -> 28 [size =\"9761792\"]\n  28 [size=\"145995093\", alpha=\"0.14\", expect_size=\"43798528\"] \n  28 -> 29 [size =\"43798528\"]\n  28 -> 30 [size =\"43798528\"]\n  29 [size=\"161723733\", alpha=\"0.00\", expect_size=\"48517120\"] \n  30 [size=\"137267200\", alpha=\"0.20\", expect_size=\"41180160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31173120\", alpha=\"0.17\", expect_size=\"12469248\"] \n  1 -> 10 [size =\"12469248\"]\n  1 -> 11 [size =\"12469248\"]\n  1 -> 12 [size =\"12469248\"]\n  1 -> 14 [size =\"12469248\"]\n  1 -> 14 [size =\"12469248\"]\n  1 -> 15 [size =\"12469248\"]\n  2 [size=\"31680000\", alpha=\"0.07\", expect_size=\"12672000\"] \n  2 -> 11 [size =\"12672000\"]\n  2 -> 13 [size =\"12672000\"]\n  2 -> 15 [size =\"12672000\"]\n  3 [size=\"73221120\", alpha=\"0.06\", expect_size=\"29288448\"] \n  3 -> 9 [size =\"29288448\"]\n  3 -> 10 [size =\"29288448\"]\n  3 -> 12 [size =\"29288448\"]\n  3 -> 13 [size =\"29288448\"]\n  3 -> 14 [size =\"29288448\"]\n  4 [size=\"51960320\", alpha=\"0.14\", expect_size=\"20784128\"] \n  4 -> 9 [size =\"20784128\"]\n  4 -> 11 [size =\"20784128\"]\n  4 -> 12 [size =\"20784128\"]\n  4 -> 13 [size =\"20784128\"]\n  4 -> 15 [size =\"20784128\"]\n  5 [size=\"54663680\", alpha=\"0.04\", expect_size=\"21865472\"] \n  5 -> 10 [size =\"21865472\"]\n  5 -> 12 [size =\"21865472\"]\n  6 [size=\"78466560\", alpha=\"0.13\", expect_size=\"31386624\"] \n  6 -> 9 [size =\"31386624\"]\n  6 -> 11 [size =\"31386624\"]\n  6 -> 14 [size =\"31386624\"]\n  6 -> 15 [size =\"31386624\"]\n  7 [size=\"80120320\", alpha=\"0.12\", expect_size=\"32048128\"] \n  7 -> 10 [size =\"32048128\"]\n  7 -> 11 [size =\"32048128\"]\n  7 -> 12 [size =\"32048128\"]\n  7 -> 13 [size =\"32048128\"]\n  7 -> 14 [size =\"32048128\"]\n  8 [size=\"82457600\", alpha=\"0.18\", expect_size=\"32983040\"] \n  8 -> 10 [size =\"32983040\"]\n  8 -> 11 [size =\"32983040\"]\n  8 -> 12 [size =\"32983040\"]\n  8 -> 13 [size =\"32983040\"]\n  8 -> 14 [size =\"32983040\"]\n  9 [size=\"87237120\", alpha=\"0.17\", expect_size=\"34894848\"] \n  9 -> 17 [size =\"34894848\"]\n  9 -> 19 [size =\"34894848\"]\n  9 -> 23 [size =\"34894848\"]\n  9 -> 26 [size =\"34894848\"]\n  9 -> 27 [size =\"34894848\"]\n  10 [size=\"113930240\", alpha=\"0.16\", expect_size=\"45572096\"] \n  10 -> 17 [size =\"45572096\"]\n  10 -> 18 [size =\"45572096\"]\n  10 -> 27 [size =\"45572096\"]\n  11 [size=\"30295040\", alpha=\"0.02\", expect_size=\"12118016\"] \n  11 -> 21 [size =\"12118016\"]\n  11 -> 22 [size =\"12118016\"]\n  11 -> 25 [size =\"12118016\"]\n  11 -> 26 [size =\"12118016\"]\n  12 [size=\"14264320\", alpha=\"0.04\", expect_size=\"5705728\"] \n  12 -> 16 [size =\"5705728\"]\n  12 -> 17 [size =\"5705728\"]\n  12 -> 19 [size =\"5705728\"]\n  12 -> 24 [size =\"5705728\"]\n  13 [size=\"53424640\", alpha=\"0.02\", expect_size=\"21369856\"] \n  13 -> 19 [size =\"21369856\"]\n  13 -> 22 [size =\"21369856\"]\n  13 -> 25 [size =\"21369856\"]\n  13 -> 27 [size =\"21369856\"]\n  14 [size=\"89292800\", alpha=\"0.19\", expect_size=\"35717120\"] \n  14 -> 16 [size =\"35717120\"]\n  14 -> 19 [size =\"35717120\"]\n  14 -> 20 [size =\"35717120\"]\n  14 -> 24 [size =\"35717120\"]\n  14 -> 26 [size =\"35717120\"]\n  14 -> 27 [size =\"35717120\"]\n  15 [size=\"53624320\", alpha=\"0.15\", expect_size=\"21449728\"] \n  15 -> 17 [size =\"21449728\"]\n  15 -> 24 [size =\"21449728\"]\n  15 -> 25 [size =\"21449728\"]\n  15 -> 27 [size =\"21449728\"]\n  16 [size=\"75755520\", alpha=\"0.18\", expect_size=\"30302208\"] \n  17 [size=\"32942080\", alpha=\"0.06\", expect_size=\"13176832\"] \n  17 -> 29 [size =\"13176832\"]\n  17 -> 30 [size =\"13176832\"]\n  18 [size=\"103232000\", alpha=\"0.04\", expect_size=\"41292800\"] \n  18 -> 28 [size =\"41292800\"]\n  18 -> 29 [size =\"41292800\"]\n  19 [size=\"92042240\", alpha=\"0.07\", expect_size=\"36816896\"] \n  19 -> 28 [size =\"36816896\"]\n  19 -> 29 [size =\"36816896\"]\n  19 -> 30 [size =\"36816896\"]\n  20 [size=\"76395520\", alpha=\"0.12\", expect_size=\"30558208\"] \n  20 -> 28 [size =\"30558208\"]\n  21 [size=\"50913280\", alpha=\"0.19\", expect_size=\"20365312\"] \n  21 -> 28 [size =\"20365312\"]\n  22 [size=\"61985280\", alpha=\"0.10\", expect_size=\"24794112\"] \n  22 -> 29 [size =\"24794112\"]\n  22 -> 30 [size =\"24794112\"]\n  23 [size=\"86266880\", alpha=\"0.11\", expect_size=\"34506752\"] \n  23 -> 30 [size =\"34506752\"]\n  24 [size=\"95772160\", alpha=\"0.18\", expect_size=\"38308864\"] \n  24 -> 28 [size =\"38308864\"]\n  24 -> 29 [size =\"38308864\"]\n  25 [size=\"92113920\", alpha=\"0.13\", expect_size=\"36845568\"] \n  25 -> 28 [size =\"36845568\"]\n  26 [size=\"63851520\", alpha=\"0.18\", expect_size=\"25540608\"] \n  26 -> 28 [size =\"25540608\"]\n  27 [size=\"49507840\", alpha=\"0.15\", expect_size=\"19803136\"] \n  27 -> 30 [size =\"19803136\"]\n  28 [size=\"85885440\", alpha=\"0.04\", expect_size=\"34354176\"] \n  29 [size=\"111813120\", alpha=\"0.05\", expect_size=\"44725248\"] \n  30 [size=\"36359680\", alpha=\"0.03\", expect_size=\"14543872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67686400\", alpha=\"0.04\", expect_size=\"20305920\"] \n  1 -> 3 [size =\"20305920\"]\n  2 [size=\"147869013\", alpha=\"0.13\", expect_size=\"44360704\"] \n  2 -> 3 [size =\"44360704\"]\n  2 -> 4 [size =\"44360704\"]\n  3 [size=\"120036693\", alpha=\"0.02\", expect_size=\"36011008\"] \n  3 -> 5 [size =\"36011008\"]\n  4 [size=\"98662400\", alpha=\"0.16\", expect_size=\"29598720\"] \n  4 -> 6 [size =\"29598720\"]\n  5 [size=\"133652480\", alpha=\"0.06\", expect_size=\"40095744\"] \n  5 -> 7 [size =\"40095744\"]\n  5 -> 8 [size =\"40095744\"]\n  6 [size=\"105775787\", alpha=\"0.03\", expect_size=\"31732736\"] \n  6 -> 8 [size =\"31732736\"]\n  7 [size=\"90449920\", alpha=\"0.10\", expect_size=\"27134976\"] \n  7 -> 9 [size =\"27134976\"]\n  8 [size=\"74451627\", alpha=\"0.19\", expect_size=\"22335488\"] \n  8 -> 9 [size =\"22335488\"]\n  8 -> 10 [size =\"22335488\"]\n  9 [size=\"104355840\", alpha=\"0.13\", expect_size=\"31306752\"] \n  9 -> 11 [size =\"31306752\"]\n  10 [size=\"113148587\", alpha=\"0.08\", expect_size=\"33944576\"] \n  10 -> 12 [size =\"33944576\"]\n  11 [size=\"101690027\", alpha=\"0.00\", expect_size=\"30507008\"] \n  11 -> 13 [size =\"30507008\"]\n  12 [size=\"134167893\", alpha=\"0.01\", expect_size=\"40250368\"] \n  13 [size=\"82496853\", alpha=\"0.14\", expect_size=\"24749056\"] \n  13 -> 14 [size =\"24749056\"]\n  13 -> 15 [size =\"24749056\"]\n  14 [size=\"98150400\", alpha=\"0.14\", expect_size=\"29445120\"] \n  14 -> 16 [size =\"29445120\"]\n  15 [size=\"65491627\", alpha=\"0.08\", expect_size=\"19647488\"] \n  15 -> 16 [size =\"19647488\"]\n  15 -> 17 [size =\"19647488\"]\n  16 [size=\"115851947\", alpha=\"0.17\", expect_size=\"34755584\"] \n  16 -> 18 [size =\"34755584\"]\n  17 [size=\"140530347\", alpha=\"0.20\", expect_size=\"42159104\"] \n  18 [size=\"63764480\", alpha=\"0.15\", expect_size=\"19129344\"] \n  18 -> 19 [size =\"19129344\"]\n  19 [size=\"53920427\", alpha=\"0.00\", expect_size=\"16176128\"] \n  19 -> 20 [size =\"16176128\"]\n  19 -> 21 [size =\"16176128\"]\n  20 [size=\"153442987\", alpha=\"0.02\", expect_size=\"46032896\"] \n  20 -> 22 [size =\"46032896\"]\n  20 -> 23 [size =\"46032896\"]\n  21 [size=\"62388907\", alpha=\"0.09\", expect_size=\"18716672\"] \n  21 -> 22 [size =\"18716672\"]\n  21 -> 23 [size =\"18716672\"]\n  22 [size=\"65583787\", alpha=\"0.14\", expect_size=\"19675136\"] \n  23 [size=\"75714560\", alpha=\"0.11\", expect_size=\"22714368\"] \n  23 -> 24 [size =\"22714368\"]\n  24 [size=\"27890347\", alpha=\"0.19\", expect_size=\"8367104\"] \n  24 -> 25 [size =\"8367104\"]\n  24 -> 26 [size =\"8367104\"]\n  25 [size=\"135430827\", alpha=\"0.01\", expect_size=\"40629248\"] \n  25 -> 27 [size =\"40629248\"]\n  25 -> 28 [size =\"40629248\"]\n  26 [size=\"43021653\", alpha=\"0.15\", expect_size=\"12906496\"] \n  26 -> 28 [size =\"12906496\"]\n  27 [size=\"19046400\", alpha=\"0.18\", expect_size=\"5713920\"] \n  27 -> 29 [size =\"5713920\"]\n  27 -> 30 [size =\"5713920\"]\n  28 [size=\"17605973\", alpha=\"0.08\", expect_size=\"5281792\"] \n  28 -> 30 [size =\"5281792\"]\n  29 [size=\"134123520\", alpha=\"0.09\", expect_size=\"40237056\"] \n  30 [size=\"137536853\", alpha=\"0.02\", expect_size=\"41261056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100777984\", alpha=\"0.10\", expect_size=\"50388992\"] \n  1 -> 2 [size =\"50388992\"]\n  2 [size=\"82911232\", alpha=\"0.06\", expect_size=\"41455616\"] \n  2 -> 3 [size =\"41455616\"]\n  3 [size=\"96950272\", alpha=\"0.15\", expect_size=\"48475136\"] \n  3 -> 4 [size =\"48475136\"]\n  4 [size=\"23001088\", alpha=\"0.20\", expect_size=\"11500544\"] \n  4 -> 5 [size =\"11500544\"]\n  5 [size=\"103542784\", alpha=\"0.13\", expect_size=\"51771392\"] \n  5 -> 6 [size =\"51771392\"]\n  6 [size=\"34260992\", alpha=\"0.09\", expect_size=\"17130496\"] \n  6 -> 7 [size =\"17130496\"]\n  7 [size=\"19748864\", alpha=\"0.09\", expect_size=\"9874432\"] \n  7 -> 8 [size =\"9874432\"]\n  8 [size=\"17117184\", alpha=\"0.11\", expect_size=\"8558592\"] \n  8 -> 9 [size =\"8558592\"]\n  9 [size=\"101355520\", alpha=\"0.12\", expect_size=\"50677760\"] \n  9 -> 10 [size =\"50677760\"]\n  10 [size=\"47939584\", alpha=\"0.02\", expect_size=\"23969792\"] \n  10 -> 11 [size =\"23969792\"]\n  11 [size=\"82341888\", alpha=\"0.06\", expect_size=\"41170944\"] \n  11 -> 12 [size =\"41170944\"]\n  12 [size=\"36429824\", alpha=\"0.20\", expect_size=\"18214912\"] \n  12 -> 13 [size =\"18214912\"]\n  13 [size=\"63250432\", alpha=\"0.15\", expect_size=\"31625216\"] \n  13 -> 14 [size =\"31625216\"]\n  14 [size=\"41795584\", alpha=\"0.13\", expect_size=\"20897792\"] \n  14 -> 15 [size =\"20897792\"]\n  15 [size=\"40089600\", alpha=\"0.00\", expect_size=\"20044800\"] \n  15 -> 16 [size =\"20044800\"]\n  16 [size=\"100640768\", alpha=\"0.12\", expect_size=\"50320384\"] \n  16 -> 17 [size =\"50320384\"]\n  17 [size=\"47069184\", alpha=\"0.13\", expect_size=\"23534592\"] \n  17 -> 18 [size =\"23534592\"]\n  18 [size=\"90755072\", alpha=\"0.07\", expect_size=\"45377536\"] \n  18 -> 19 [size =\"45377536\"]\n  19 [size=\"47388672\", alpha=\"0.13\", expect_size=\"23694336\"] \n  19 -> 20 [size =\"23694336\"]\n  20 [size=\"103923712\", alpha=\"0.16\", expect_size=\"51961856\"] \n  20 -> 21 [size =\"51961856\"]\n  21 [size=\"16807936\", alpha=\"0.19\", expect_size=\"8403968\"] \n  21 -> 22 [size =\"8403968\"]\n  22 [size=\"45033472\", alpha=\"0.17\", expect_size=\"22516736\"] \n  22 -> 23 [size =\"22516736\"]\n  23 [size=\"44826624\", alpha=\"0.13\", expect_size=\"22413312\"] \n  23 -> 24 [size =\"22413312\"]\n  24 [size=\"23418880\", alpha=\"0.12\", expect_size=\"11709440\"] \n  24 -> 25 [size =\"11709440\"]\n  25 [size=\"84058112\", alpha=\"0.10\", expect_size=\"42029056\"] \n  25 -> 26 [size =\"42029056\"]\n  26 [size=\"84899840\", alpha=\"0.14\", expect_size=\"42449920\"] \n  26 -> 27 [size =\"42449920\"]\n  27 [size=\"45408256\", alpha=\"0.20\", expect_size=\"22704128\"] \n  27 -> 28 [size =\"22704128\"]\n  28 [size=\"11261952\", alpha=\"0.07\", expect_size=\"5630976\"] \n  28 -> 29 [size =\"5630976\"]\n  29 [size=\"43843584\", alpha=\"0.13\", expect_size=\"21921792\"] \n  29 -> 30 [size =\"21921792\"]\n  30 [size=\"104286208\", alpha=\"0.07\", expect_size=\"52143104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83511296\", alpha=\"0.03\", expect_size=\"41755648\"] \n  1 -> 2 [size =\"41755648\"]\n  1 -> 3 [size =\"41755648\"]\n  2 [size=\"16656384\", alpha=\"0.08\", expect_size=\"8328192\"] \n  2 -> 4 [size =\"8328192\"]\n  3 [size=\"84891648\", alpha=\"0.10\", expect_size=\"42445824\"] \n  4 [size=\"78000128\", alpha=\"0.10\", expect_size=\"39000064\"] \n  4 -> 5 [size =\"39000064\"]\n  5 [size=\"23410688\", alpha=\"0.03\", expect_size=\"11705344\"] \n  5 -> 6 [size =\"11705344\"]\n  5 -> 7 [size =\"11705344\"]\n  6 [size=\"79767552\", alpha=\"0.15\", expect_size=\"39883776\"] \n  6 -> 8 [size =\"39883776\"]\n  6 -> 9 [size =\"39883776\"]\n  7 [size=\"17065984\", alpha=\"0.19\", expect_size=\"8532992\"] \n  7 -> 9 [size =\"8532992\"]\n  8 [size=\"34725888\", alpha=\"0.05\", expect_size=\"17362944\"] \n  8 -> 10 [size =\"17362944\"]\n  9 [size=\"12171264\", alpha=\"0.08\", expect_size=\"6085632\"] \n  10 [size=\"96077824\", alpha=\"0.06\", expect_size=\"48038912\"] \n  10 -> 11 [size =\"48038912\"]\n  10 -> 12 [size =\"48038912\"]\n  11 [size=\"14356480\", alpha=\"0.16\", expect_size=\"7178240\"] \n  12 [size=\"29026304\", alpha=\"0.06\", expect_size=\"14513152\"] \n  12 -> 13 [size =\"14513152\"]\n  13 [size=\"64706560\", alpha=\"0.00\", expect_size=\"32353280\"] \n  13 -> 14 [size =\"32353280\"]\n  14 [size=\"19548160\", alpha=\"0.03\", expect_size=\"9774080\"] \n  14 -> 15 [size =\"9774080\"]\n  15 [size=\"66932736\", alpha=\"0.09\", expect_size=\"33466368\"] \n  15 -> 16 [size =\"33466368\"]\n  16 [size=\"80834560\", alpha=\"0.00\", expect_size=\"40417280\"] \n  16 -> 17 [size =\"40417280\"]\n  16 -> 18 [size =\"40417280\"]\n  17 [size=\"55674880\", alpha=\"0.17\", expect_size=\"27837440\"] \n  17 -> 19 [size =\"27837440\"]\n  18 [size=\"52889600\", alpha=\"0.10\", expect_size=\"26444800\"] \n  18 -> 19 [size =\"26444800\"]\n  19 [size=\"75929600\", alpha=\"0.06\", expect_size=\"37964800\"] \n  19 -> 20 [size =\"37964800\"]\n  19 -> 21 [size =\"37964800\"]\n  20 [size=\"20273152\", alpha=\"0.19\", expect_size=\"10136576\"] \n  20 -> 22 [size =\"10136576\"]\n  21 [size=\"46583808\", alpha=\"0.08\", expect_size=\"23291904\"] \n  21 -> 22 [size =\"23291904\"]\n  22 [size=\"25710592\", alpha=\"0.19\", expect_size=\"12855296\"] \n  22 -> 23 [size =\"12855296\"]\n  23 [size=\"55504896\", alpha=\"0.05\", expect_size=\"27752448\"] \n  23 -> 24 [size =\"27752448\"]\n  23 -> 25 [size =\"27752448\"]\n  24 [size=\"55668736\", alpha=\"0.05\", expect_size=\"27834368\"] \n  24 -> 26 [size =\"27834368\"]\n  24 -> 27 [size =\"27834368\"]\n  25 [size=\"70100992\", alpha=\"0.08\", expect_size=\"35050496\"] \n  26 [size=\"15904768\", alpha=\"0.06\", expect_size=\"7952384\"] \n  27 [size=\"16175104\", alpha=\"0.05\", expect_size=\"8087552\"] \n  27 -> 28 [size =\"8087552\"]\n  27 -> 29 [size =\"8087552\"]\n  28 [size=\"96421888\", alpha=\"0.09\", expect_size=\"48210944\"] \n  28 -> 30 [size =\"48210944\"]\n  29 [size=\"49772544\", alpha=\"0.14\", expect_size=\"24886272\"] \n  29 -> 30 [size =\"24886272\"]\n  30 [size=\"77764608\", alpha=\"0.17\", expect_size=\"38882304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72911360\", alpha=\"0.10\", expect_size=\"29164544\"] \n  1 -> 9 [size =\"29164544\"]\n  1 -> 11 [size =\"29164544\"]\n  1 -> 12 [size =\"29164544\"]\n  1 -> 14 [size =\"29164544\"]\n  2 [size=\"33003520\", alpha=\"0.19\", expect_size=\"13201408\"] \n  2 -> 11 [size =\"13201408\"]\n  2 -> 12 [size =\"13201408\"]\n  3 [size=\"101248000\", alpha=\"0.12\", expect_size=\"40499200\"] \n  3 -> 10 [size =\"40499200\"]\n  3 -> 11 [size =\"40499200\"]\n  3 -> 12 [size =\"40499200\"]\n  3 -> 14 [size =\"40499200\"]\n  3 -> 15 [size =\"40499200\"]\n  3 -> 16 [size =\"40499200\"]\n  4 [size=\"115353600\", alpha=\"0.11\", expect_size=\"46141440\"] \n  4 -> 10 [size =\"46141440\"]\n  4 -> 13 [size =\"46141440\"]\n  4 -> 14 [size =\"46141440\"]\n  5 [size=\"15114240\", alpha=\"0.05\", expect_size=\"6045696\"] \n  5 -> 10 [size =\"6045696\"]\n  5 -> 16 [size =\"6045696\"]\n  6 [size=\"34068480\", alpha=\"0.07\", expect_size=\"13627392\"] \n  6 -> 9 [size =\"13627392\"]\n  6 -> 13 [size =\"13627392\"]\n  6 -> 16 [size =\"13627392\"]\n  7 [size=\"117913600\", alpha=\"0.00\", expect_size=\"47165440\"] \n  7 -> 10 [size =\"47165440\"]\n  7 -> 12 [size =\"47165440\"]\n  7 -> 14 [size =\"47165440\"]\n  8 [size=\"69163520\", alpha=\"0.03\", expect_size=\"27665408\"] \n  8 -> 9 [size =\"27665408\"]\n  8 -> 15 [size =\"27665408\"]\n  9 [size=\"113024000\", alpha=\"0.18\", expect_size=\"45209600\"] \n  9 -> 17 [size =\"45209600\"]\n  9 -> 21 [size =\"45209600\"]\n  9 -> 22 [size =\"45209600\"]\n  10 [size=\"15984640\", alpha=\"0.19\", expect_size=\"6393856\"] \n  11 [size=\"105210880\", alpha=\"0.19\", expect_size=\"42084352\"] \n  11 -> 20 [size =\"42084352\"]\n  12 [size=\"48581120\", alpha=\"0.08\", expect_size=\"19432448\"] \n  12 -> 22 [size =\"19432448\"]\n  13 [size=\"40552960\", alpha=\"0.18\", expect_size=\"16221184\"] \n  13 -> 19 [size =\"16221184\"]\n  13 -> 22 [size =\"16221184\"]\n  13 -> 23 [size =\"16221184\"]\n  14 [size=\"111480320\", alpha=\"0.13\", expect_size=\"44592128\"] \n  14 -> 21 [size =\"44592128\"]\n  14 -> 22 [size =\"44592128\"]\n  14 -> 23 [size =\"44592128\"]\n  15 [size=\"57661440\", alpha=\"0.01\", expect_size=\"23064576\"] \n  15 -> 21 [size =\"23064576\"]\n  15 -> 23 [size =\"23064576\"]\n  16 [size=\"87848960\", alpha=\"0.06\", expect_size=\"35139584\"] \n  16 -> 18 [size =\"35139584\"]\n  16 -> 19 [size =\"35139584\"]\n  16 -> 21 [size =\"35139584\"]\n  17 [size=\"13117440\", alpha=\"0.14\", expect_size=\"5246976\"] \n  17 -> 29 [size =\"5246976\"]\n  18 [size=\"13788160\", alpha=\"0.09\", expect_size=\"5515264\"] \n  18 -> 24 [size =\"5515264\"]\n  18 -> 26 [size =\"5515264\"]\n  18 -> 29 [size =\"5515264\"]\n  19 [size=\"32281600\", alpha=\"0.12\", expect_size=\"12912640\"] \n  19 -> 29 [size =\"12912640\"]\n  20 [size=\"22868480\", alpha=\"0.00\", expect_size=\"9147392\"] \n  20 -> 26 [size =\"9147392\"]\n  20 -> 28 [size =\"9147392\"]\n  20 -> 29 [size =\"9147392\"]\n  21 [size=\"15961600\", alpha=\"0.19\", expect_size=\"6384640\"] \n  21 -> 26 [size =\"6384640\"]\n  21 -> 28 [size =\"6384640\"]\n  21 -> 30 [size =\"6384640\"]\n  22 [size=\"130810880\", alpha=\"0.01\", expect_size=\"52324352\"] \n  22 -> 25 [size =\"52324352\"]\n  23 [size=\"61465600\", alpha=\"0.18\", expect_size=\"24586240\"] \n  23 -> 25 [size =\"24586240\"]\n  23 -> 27 [size =\"24586240\"]\n  24 [size=\"51258880\", alpha=\"0.12\", expect_size=\"20503552\"] \n  25 [size=\"127488000\", alpha=\"0.06\", expect_size=\"50995200\"] \n  26 [size=\"15436800\", alpha=\"0.05\", expect_size=\"6174720\"] \n  27 [size=\"52298240\", alpha=\"0.01\", expect_size=\"20919296\"] \n  28 [size=\"15797760\", alpha=\"0.06\", expect_size=\"6319104\"] \n  29 [size=\"70630400\", alpha=\"0.08\", expect_size=\"28252160\"] \n  30 [size=\"21813760\", alpha=\"0.11\", expect_size=\"8725504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28198400\", alpha=\"0.18\", expect_size=\"11279360\"] \n  2 [size=\"128176640\", alpha=\"0.15\", expect_size=\"51270656\"] \n  2 -> 24 [size =\"51270656\"]\n  2 -> 28 [size =\"51270656\"]\n  3 [size=\"78177280\", alpha=\"0.15\", expect_size=\"31270912\"] \n  3 -> 24 [size =\"31270912\"]\n  3 -> 26 [size =\"31270912\"]\n  3 -> 28 [size =\"31270912\"]\n  3 -> 30 [size =\"31270912\"]\n  4 [size=\"110735360\", alpha=\"0.19\", expect_size=\"44294144\"] \n  4 -> 21 [size =\"44294144\"]\n  4 -> 24 [size =\"44294144\"]\n  4 -> 30 [size =\"44294144\"]\n  5 [size=\"38932480\", alpha=\"0.18\", expect_size=\"15572992\"] \n  5 -> 21 [size =\"15572992\"]\n  5 -> 23 [size =\"15572992\"]\n  5 -> 28 [size =\"15572992\"]\n  5 -> 29 [size =\"15572992\"]\n  6 [size=\"64542720\", alpha=\"0.10\", expect_size=\"25817088\"] \n  6 -> 21 [size =\"25817088\"]\n  6 -> 23 [size =\"25817088\"]\n  6 -> 25 [size =\"25817088\"]\n  7 [size=\"120609280\", alpha=\"0.16\", expect_size=\"48243712\"] \n  7 -> 24 [size =\"48243712\"]\n  7 -> 26 [size =\"48243712\"]\n  8 [size=\"27888640\", alpha=\"0.09\", expect_size=\"11155456\"] \n  8 -> 26 [size =\"11155456\"]\n  9 [size=\"95631360\", alpha=\"0.01\", expect_size=\"38252544\"] \n  9 -> 25 [size =\"38252544\"]\n  9 -> 26 [size =\"38252544\"]\n  9 -> 28 [size =\"38252544\"]\n  10 [size=\"102254080\", alpha=\"0.09\", expect_size=\"40901632\"] \n  10 -> 21 [size =\"40901632\"]\n  10 -> 26 [size =\"40901632\"]\n  10 -> 27 [size =\"40901632\"]\n  10 -> 30 [size =\"40901632\"]\n  11 [size=\"117422080\", alpha=\"0.07\", expect_size=\"46968832\"] \n  11 -> 21 [size =\"46968832\"]\n  11 -> 22 [size =\"46968832\"]\n  11 -> 23 [size =\"46968832\"]\n  11 -> 24 [size =\"46968832\"]\n  11 -> 25 [size =\"46968832\"]\n  11 -> 30 [size =\"46968832\"]\n  12 [size=\"102814720\", alpha=\"0.11\", expect_size=\"41125888\"] \n  12 -> 22 [size =\"41125888\"]\n  12 -> 26 [size =\"41125888\"]\n  13 [size=\"74498560\", alpha=\"0.03\", expect_size=\"29799424\"] \n  13 -> 24 [size =\"29799424\"]\n  13 -> 25 [size =\"29799424\"]\n  13 -> 30 [size =\"29799424\"]\n  14 [size=\"47073280\", alpha=\"0.12\", expect_size=\"18829312\"] \n  14 -> 21 [size =\"18829312\"]\n  14 -> 24 [size =\"18829312\"]\n  15 [size=\"43755520\", alpha=\"0.01\", expect_size=\"17502208\"] \n  15 -> 21 [size =\"17502208\"]\n  15 -> 24 [size =\"17502208\"]\n  15 -> 26 [size =\"17502208\"]\n  15 -> 29 [size =\"17502208\"]\n  16 [size=\"29834240\", alpha=\"0.14\", expect_size=\"11933696\"] \n  16 -> 21 [size =\"11933696\"]\n  16 -> 26 [size =\"11933696\"]\n  16 -> 26 [size =\"11933696\"]\n  16 -> 28 [size =\"11933696\"]\n  17 [size=\"89210880\", alpha=\"0.03\", expect_size=\"35684352\"] \n  17 -> 21 [size =\"35684352\"]\n  17 -> 23 [size =\"35684352\"]\n  17 -> 25 [size =\"35684352\"]\n  18 [size=\"65185280\", alpha=\"0.13\", expect_size=\"26074112\"] \n  18 -> 21 [size =\"26074112\"]\n  18 -> 25 [size =\"26074112\"]\n  18 -> 30 [size =\"26074112\"]\n  19 [size=\"116664320\", alpha=\"0.14\", expect_size=\"46665728\"] \n  19 -> 21 [size =\"46665728\"]\n  19 -> 22 [size =\"46665728\"]\n  19 -> 26 [size =\"46665728\"]\n  19 -> 30 [size =\"46665728\"]\n  20 [size=\"120793600\", alpha=\"0.17\", expect_size=\"48317440\"] \n  20 -> 22 [size =\"48317440\"]\n  20 -> 30 [size =\"48317440\"]\n  21 [size=\"53504000\", alpha=\"0.03\", expect_size=\"21401600\"] \n  22 [size=\"92037120\", alpha=\"0.08\", expect_size=\"36814848\"] \n  23 [size=\"41228800\", alpha=\"0.04\", expect_size=\"16491520\"] \n  24 [size=\"61452800\", alpha=\"0.17\", expect_size=\"24581120\"] \n  25 [size=\"129446400\", alpha=\"0.14\", expect_size=\"51778560\"] \n  26 [size=\"16304640\", alpha=\"0.20\", expect_size=\"6521856\"] \n  27 [size=\"97134080\", alpha=\"0.04\", expect_size=\"38853632\"] \n  28 [size=\"116336640\", alpha=\"0.11\", expect_size=\"46534656\"] \n  29 [size=\"72816640\", alpha=\"0.11\", expect_size=\"29126656\"] \n  30 [size=\"35445760\", alpha=\"0.07\", expect_size=\"14178304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56784213\", alpha=\"0.19\", expect_size=\"17035264\"] \n  1 -> 11 [size =\"17035264\"]\n  1 -> 12 [size =\"17035264\"]\n  1 -> 19 [size =\"17035264\"]\n  2 [size=\"73581227\", alpha=\"0.16\", expect_size=\"22074368\"] \n  2 -> 11 [size =\"22074368\"]\n  2 -> 12 [size =\"22074368\"]\n  2 -> 14 [size =\"22074368\"]\n  2 -> 16 [size =\"22074368\"]\n  2 -> 17 [size =\"22074368\"]\n  3 [size=\"142411093\", alpha=\"0.04\", expect_size=\"42723328\"] \n  3 -> 12 [size =\"42723328\"]\n  3 -> 15 [size =\"42723328\"]\n  3 -> 17 [size =\"42723328\"]\n  4 [size=\"109445120\", alpha=\"0.08\", expect_size=\"32833536\"] \n  4 -> 12 [size =\"32833536\"]\n  4 -> 16 [size =\"32833536\"]\n  4 -> 19 [size =\"32833536\"]\n  5 [size=\"57774080\", alpha=\"0.11\", expect_size=\"17332224\"] \n  5 -> 12 [size =\"17332224\"]\n  5 -> 13 [size =\"17332224\"]\n  5 -> 16 [size =\"17332224\"]\n  5 -> 19 [size =\"17332224\"]\n  6 [size=\"149620053\", alpha=\"0.12\", expect_size=\"44886016\"] \n  6 -> 13 [size =\"44886016\"]\n  6 -> 16 [size =\"44886016\"]\n  6 -> 16 [size =\"44886016\"]\n  6 -> 18 [size =\"44886016\"]\n  7 [size=\"51708587\", alpha=\"0.19\", expect_size=\"15512576\"] \n  7 -> 11 [size =\"15512576\"]\n  7 -> 13 [size =\"15512576\"]\n  7 -> 16 [size =\"15512576\"]\n  7 -> 17 [size =\"15512576\"]\n  7 -> 19 [size =\"15512576\"]\n  8 [size=\"161198080\", alpha=\"0.09\", expect_size=\"48359424\"] \n  8 -> 11 [size =\"48359424\"]\n  8 -> 13 [size =\"48359424\"]\n  8 -> 15 [size =\"48359424\"]\n  9 [size=\"55630507\", alpha=\"0.18\", expect_size=\"16689152\"] \n  9 -> 11 [size =\"16689152\"]\n  9 -> 15 [size =\"16689152\"]\n  9 -> 15 [size =\"16689152\"]\n  9 -> 16 [size =\"16689152\"]\n  9 -> 19 [size =\"16689152\"]\n  10 [size=\"152490667\", alpha=\"0.13\", expect_size=\"45747200\"] \n  10 -> 11 [size =\"45747200\"]\n  10 -> 12 [size =\"45747200\"]\n  10 -> 18 [size =\"45747200\"]\n  10 -> 19 [size =\"45747200\"]\n  11 [size=\"159228587\", alpha=\"0.02\", expect_size=\"47768576\"] \n  11 -> 20 [size =\"47768576\"]\n  11 -> 21 [size =\"47768576\"]\n  11 -> 22 [size =\"47768576\"]\n  11 -> 26 [size =\"47768576\"]\n  11 -> 27 [size =\"47768576\"]\n  12 [size=\"154729813\", alpha=\"0.15\", expect_size=\"46418944\"] \n  12 -> 21 [size =\"46418944\"]\n  12 -> 22 [size =\"46418944\"]\n  12 -> 23 [size =\"46418944\"]\n  12 -> 26 [size =\"46418944\"]\n  12 -> 29 [size =\"46418944\"]\n  13 [size=\"120081067\", alpha=\"0.18\", expect_size=\"36024320\"] \n  13 -> 20 [size =\"36024320\"]\n  13 -> 21 [size =\"36024320\"]\n  13 -> 26 [size =\"36024320\"]\n  13 -> 28 [size =\"36024320\"]\n  14 [size=\"154309973\", alpha=\"0.13\", expect_size=\"46292992\"] \n  14 -> 21 [size =\"46292992\"]\n  14 -> 23 [size =\"46292992\"]\n  14 -> 25 [size =\"46292992\"]\n  14 -> 26 [size =\"46292992\"]\n  14 -> 27 [size =\"46292992\"]\n  14 -> 28 [size =\"46292992\"]\n  15 [size=\"59313493\", alpha=\"0.12\", expect_size=\"17794048\"] \n  15 -> 21 [size =\"17794048\"]\n  15 -> 22 [size =\"17794048\"]\n  15 -> 23 [size =\"17794048\"]\n  15 -> 25 [size =\"17794048\"]\n  15 -> 27 [size =\"17794048\"]\n  15 -> 28 [size =\"17794048\"]\n  15 -> 29 [size =\"17794048\"]\n  16 [size=\"145148587\", alpha=\"0.14\", expect_size=\"43544576\"] \n  16 -> 20 [size =\"43544576\"]\n  16 -> 27 [size =\"43544576\"]\n  16 -> 28 [size =\"43544576\"]\n  16 -> 29 [size =\"43544576\"]\n  17 [size=\"82913280\", alpha=\"0.12\", expect_size=\"24873984\"] \n  17 -> 23 [size =\"24873984\"]\n  17 -> 25 [size =\"24873984\"]\n  17 -> 26 [size =\"24873984\"]\n  17 -> 27 [size =\"24873984\"]\n  18 [size=\"74994347\", alpha=\"0.14\", expect_size=\"22498304\"] \n  18 -> 21 [size =\"22498304\"]\n  18 -> 25 [size =\"22498304\"]\n  18 -> 26 [size =\"22498304\"]\n  19 [size=\"148910080\", alpha=\"0.13\", expect_size=\"44673024\"] \n  19 -> 21 [size =\"44673024\"]\n  19 -> 22 [size =\"44673024\"]\n  19 -> 24 [size =\"44673024\"]\n  19 -> 25 [size =\"44673024\"]\n  20 [size=\"136663040\", alpha=\"0.00\", expect_size=\"40998912\"] \n  21 [size=\"83479893\", alpha=\"0.13\", expect_size=\"25043968\"] \n  22 [size=\"97112747\", alpha=\"0.12\", expect_size=\"29133824\"] \n  23 [size=\"59108693\", alpha=\"0.08\", expect_size=\"17732608\"] \n  23 -> 30 [size =\"17732608\"]\n  24 [size=\"46622720\", alpha=\"0.15\", expect_size=\"13986816\"] \n  24 -> 30 [size =\"13986816\"]\n  25 [size=\"146578773\", alpha=\"0.07\", expect_size=\"43973632\"] \n  26 [size=\"86039893\", alpha=\"0.16\", expect_size=\"25811968\"] \n  27 [size=\"37096107\", alpha=\"0.09\", expect_size=\"11128832\"] \n  27 -> 30 [size =\"11128832\"]\n  28 [size=\"127873707\", alpha=\"0.01\", expect_size=\"38362112\"] \n  28 -> 30 [size =\"38362112\"]\n  29 [size=\"83927040\", alpha=\"0.18\", expect_size=\"25178112\"] \n  30 [size=\"26129067\", alpha=\"0.11\", expect_size=\"7838720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52241067\", alpha=\"0.13\", expect_size=\"15672320\"] \n  1 -> 3 [size =\"15672320\"]\n  2 [size=\"161911467\", alpha=\"0.01\", expect_size=\"48573440\"] \n  3 [size=\"75939840\", alpha=\"0.11\", expect_size=\"22781952\"] \n  3 -> 4 [size =\"22781952\"]\n  4 [size=\"122296320\", alpha=\"0.17\", expect_size=\"36688896\"] \n  4 -> 5 [size =\"36688896\"]\n  5 [size=\"19531093\", alpha=\"0.19\", expect_size=\"5859328\"] \n  5 -> 6 [size =\"5859328\"]\n  6 [size=\"156112213\", alpha=\"0.18\", expect_size=\"46833664\"] \n  6 -> 7 [size =\"46833664\"]\n  6 -> 8 [size =\"46833664\"]\n  7 [size=\"43642880\", alpha=\"0.15\", expect_size=\"13092864\"] \n  7 -> 9 [size =\"13092864\"]\n  7 -> 10 [size =\"13092864\"]\n  8 [size=\"120504320\", alpha=\"0.18\", expect_size=\"36151296\"] \n  9 [size=\"152169813\", alpha=\"0.11\", expect_size=\"45650944\"] \n  10 [size=\"75421013\", alpha=\"0.14\", expect_size=\"22626304\"] \n  10 -> 11 [size =\"22626304\"]\n  10 -> 12 [size =\"22626304\"]\n  11 [size=\"31890773\", alpha=\"0.17\", expect_size=\"9567232\"] \n  11 -> 13 [size =\"9567232\"]\n  12 [size=\"132003840\", alpha=\"0.05\", expect_size=\"39601152\"] \n  12 -> 13 [size =\"39601152\"]\n  13 [size=\"143069867\", alpha=\"0.14\", expect_size=\"42920960\"] \n  13 -> 14 [size =\"42920960\"]\n  14 [size=\"72106667\", alpha=\"0.19\", expect_size=\"21632000\"] \n  14 -> 15 [size =\"21632000\"]\n  14 -> 16 [size =\"21632000\"]\n  15 [size=\"46448640\", alpha=\"0.08\", expect_size=\"13934592\"] \n  15 -> 17 [size =\"13934592\"]\n  16 [size=\"39806293\", alpha=\"0.12\", expect_size=\"11941888\"] \n  16 -> 17 [size =\"11941888\"]\n  17 [size=\"25364480\", alpha=\"0.04\", expect_size=\"7609344\"] \n  17 -> 18 [size =\"7609344\"]\n  18 [size=\"139547307\", alpha=\"0.17\", expect_size=\"41864192\"] \n  18 -> 19 [size =\"41864192\"]\n  19 [size=\"126941867\", alpha=\"0.16\", expect_size=\"38082560\"] \n  19 -> 20 [size =\"38082560\"]\n  20 [size=\"55572480\", alpha=\"0.14\", expect_size=\"16671744\"] \n  20 -> 21 [size =\"16671744\"]\n  21 [size=\"168605013\", alpha=\"0.17\", expect_size=\"50581504\"] \n  21 -> 22 [size =\"50581504\"]\n  21 -> 23 [size =\"50581504\"]\n  22 [size=\"145387520\", alpha=\"0.18\", expect_size=\"43616256\"] \n  22 -> 24 [size =\"43616256\"]\n  22 -> 25 [size =\"43616256\"]\n  23 [size=\"25453227\", alpha=\"0.06\", expect_size=\"7635968\"] \n  23 -> 24 [size =\"7635968\"]\n  23 -> 25 [size =\"7635968\"]\n  24 [size=\"132481707\", alpha=\"0.07\", expect_size=\"39744512\"] \n  24 -> 26 [size =\"39744512\"]\n  24 -> 27 [size =\"39744512\"]\n  25 [size=\"126044160\", alpha=\"0.09\", expect_size=\"37813248\"] \n  25 -> 27 [size =\"37813248\"]\n  26 [size=\"35485013\", alpha=\"0.09\", expect_size=\"10645504\"] \n  26 -> 28 [size =\"10645504\"]\n  27 [size=\"127805440\", alpha=\"0.12\", expect_size=\"38341632\"] \n  27 -> 28 [size =\"38341632\"]\n  28 [size=\"159798613\", alpha=\"0.08\", expect_size=\"47939584\"] \n  28 -> 29 [size =\"47939584\"]\n  28 -> 30 [size =\"47939584\"]\n  29 [size=\"135502507\", alpha=\"0.01\", expect_size=\"40650752\"] \n  30 [size=\"105489067\", alpha=\"0.01\", expect_size=\"31646720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99545088\", alpha=\"0.20\", expect_size=\"49772544\"] \n  1 -> 23 [size =\"49772544\"]\n  1 -> 25 [size =\"49772544\"]\n  1 -> 26 [size =\"49772544\"]\n  1 -> 27 [size =\"49772544\"]\n  1 -> 28 [size =\"49772544\"]\n  1 -> 29 [size =\"49772544\"]\n  2 [size=\"86001664\", alpha=\"0.01\", expect_size=\"43000832\"] \n  2 -> 24 [size =\"43000832\"]\n  2 -> 27 [size =\"43000832\"]\n  2 -> 28 [size =\"43000832\"]\n  3 [size=\"46747648\", alpha=\"0.07\", expect_size=\"23373824\"] \n  3 -> 23 [size =\"23373824\"]\n  3 -> 27 [size =\"23373824\"]\n  3 -> 28 [size =\"23373824\"]\n  3 -> 30 [size =\"23373824\"]\n  4 [size=\"38664192\", alpha=\"0.06\", expect_size=\"19332096\"] \n  4 -> 23 [size =\"19332096\"]\n  4 -> 26 [size =\"19332096\"]\n  4 -> 27 [size =\"19332096\"]\n  4 -> 28 [size =\"19332096\"]\n  5 [size=\"73533440\", alpha=\"0.09\", expect_size=\"36766720\"] \n  5 -> 22 [size =\"36766720\"]\n  5 -> 23 [size =\"36766720\"]\n  5 -> 25 [size =\"36766720\"]\n  5 -> 26 [size =\"36766720\"]\n  5 -> 27 [size =\"36766720\"]\n  6 [size=\"12476416\", alpha=\"0.20\", expect_size=\"6238208\"] \n  6 -> 25 [size =\"6238208\"]\n  6 -> 26 [size =\"6238208\"]\n  6 -> 27 [size =\"6238208\"]\n  7 [size=\"90222592\", alpha=\"0.10\", expect_size=\"45111296\"] \n  7 -> 22 [size =\"45111296\"]\n  7 -> 23 [size =\"45111296\"]\n  7 -> 25 [size =\"45111296\"]\n  7 -> 26 [size =\"45111296\"]\n  7 -> 27 [size =\"45111296\"]\n  7 -> 29 [size =\"45111296\"]\n  8 [size=\"43657216\", alpha=\"0.06\", expect_size=\"21828608\"] \n  8 -> 25 [size =\"21828608\"]\n  8 -> 26 [size =\"21828608\"]\n  8 -> 27 [size =\"21828608\"]\n  9 [size=\"53686272\", alpha=\"0.02\", expect_size=\"26843136\"] \n  9 -> 25 [size =\"26843136\"]\n  9 -> 26 [size =\"26843136\"]\n  9 -> 27 [size =\"26843136\"]\n  9 -> 28 [size =\"26843136\"]\n  10 [size=\"23564288\", alpha=\"0.13\", expect_size=\"11782144\"] \n  10 -> 23 [size =\"11782144\"]\n  10 -> 26 [size =\"11782144\"]\n  10 -> 27 [size =\"11782144\"]\n  10 -> 28 [size =\"11782144\"]\n  11 [size=\"33701888\", alpha=\"0.09\", expect_size=\"16850944\"] \n  11 -> 24 [size =\"16850944\"]\n  11 -> 26 [size =\"16850944\"]\n  11 -> 27 [size =\"16850944\"]\n  11 -> 28 [size =\"16850944\"]\n  12 [size=\"31905792\", alpha=\"0.17\", expect_size=\"15952896\"] \n  12 -> 23 [size =\"15952896\"]\n  12 -> 26 [size =\"15952896\"]\n  12 -> 27 [size =\"15952896\"]\n  12 -> 28 [size =\"15952896\"]\n  13 [size=\"34836480\", alpha=\"0.20\", expect_size=\"17418240\"] \n  13 -> 23 [size =\"17418240\"]\n  13 -> 26 [size =\"17418240\"]\n  13 -> 27 [size =\"17418240\"]\n  13 -> 28 [size =\"17418240\"]\n  14 [size=\"65570816\", alpha=\"0.06\", expect_size=\"32785408\"] \n  14 -> 22 [size =\"32785408\"]\n  14 -> 23 [size =\"32785408\"]\n  14 -> 26 [size =\"32785408\"]\n  14 -> 27 [size =\"32785408\"]\n  14 -> 28 [size =\"32785408\"]\n  14 -> 29 [size =\"32785408\"]\n  15 [size=\"92409856\", alpha=\"0.01\", expect_size=\"46204928\"] \n  15 -> 23 [size =\"46204928\"]\n  15 -> 23 [size =\"46204928\"]\n  15 -> 26 [size =\"46204928\"]\n  15 -> 27 [size =\"46204928\"]\n  15 -> 28 [size =\"46204928\"]\n  16 [size=\"42788864\", alpha=\"0.17\", expect_size=\"21394432\"] \n  16 -> 26 [size =\"21394432\"]\n  16 -> 27 [size =\"21394432\"]\n  17 [size=\"40699904\", alpha=\"0.13\", expect_size=\"20349952\"] \n  17 -> 23 [size =\"20349952\"]\n  17 -> 25 [size =\"20349952\"]\n  17 -> 26 [size =\"20349952\"]\n  17 -> 27 [size =\"20349952\"]\n  17 -> 28 [size =\"20349952\"]\n  17 -> 29 [size =\"20349952\"]\n  18 [size=\"89563136\", alpha=\"0.20\", expect_size=\"44781568\"] \n  18 -> 22 [size =\"44781568\"]\n  18 -> 26 [size =\"44781568\"]\n  18 -> 28 [size =\"44781568\"]\n  19 [size=\"25204736\", alpha=\"0.14\", expect_size=\"12602368\"] \n  19 -> 26 [size =\"12602368\"]\n  19 -> 28 [size =\"12602368\"]\n  19 -> 30 [size =\"12602368\"]\n  20 [size=\"34404352\", alpha=\"0.02\", expect_size=\"17202176\"] \n  20 -> 22 [size =\"17202176\"]\n  20 -> 26 [size =\"17202176\"]\n  21 [size=\"95162368\", alpha=\"0.08\", expect_size=\"47581184\"] \n  21 -> 26 [size =\"47581184\"]\n  21 -> 27 [size =\"47581184\"]\n  21 -> 28 [size =\"47581184\"]\n  22 [size=\"44517376\", alpha=\"0.10\", expect_size=\"22258688\"] \n  23 [size=\"32638976\", alpha=\"0.19\", expect_size=\"16319488\"] \n  24 [size=\"31375360\", alpha=\"0.15\", expect_size=\"15687680\"] \n  25 [size=\"59877376\", alpha=\"0.04\", expect_size=\"29938688\"] \n  26 [size=\"62445568\", alpha=\"0.14\", expect_size=\"31222784\"] \n  27 [size=\"46802944\", alpha=\"0.00\", expect_size=\"23401472\"] \n  28 [size=\"12933120\", alpha=\"0.14\", expect_size=\"6466560\"] \n  29 [size=\"12109824\", alpha=\"0.16\", expect_size=\"6054912\"] \n  30 [size=\"80150528\", alpha=\"0.01\", expect_size=\"40075264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72611840\", alpha=\"0.13\", expect_size=\"21783552\"] \n  1 -> 10 [size =\"21783552\"]\n  1 -> 13 [size =\"21783552\"]\n  1 -> 16 [size =\"21783552\"]\n  1 -> 17 [size =\"21783552\"]\n  2 [size=\"36816213\", alpha=\"0.16\", expect_size=\"11044864\"] \n  2 -> 10 [size =\"11044864\"]\n  2 -> 11 [size =\"11044864\"]\n  2 -> 12 [size =\"11044864\"]\n  2 -> 13 [size =\"11044864\"]\n  2 -> 15 [size =\"11044864\"]\n  2 -> 16 [size =\"11044864\"]\n  2 -> 19 [size =\"11044864\"]\n  3 [size=\"150678187\", alpha=\"0.02\", expect_size=\"45203456\"] \n  3 -> 16 [size =\"45203456\"]\n  3 -> 17 [size =\"45203456\"]\n  4 [size=\"78936747\", alpha=\"0.03\", expect_size=\"23681024\"] \n  4 -> 10 [size =\"23681024\"]\n  4 -> 16 [size =\"23681024\"]\n  4 -> 17 [size =\"23681024\"]\n  5 [size=\"71092907\", alpha=\"0.14\", expect_size=\"21327872\"] \n  5 -> 11 [size =\"21327872\"]\n  5 -> 15 [size =\"21327872\"]\n  5 -> 16 [size =\"21327872\"]\n  5 -> 17 [size =\"21327872\"]\n  5 -> 18 [size =\"21327872\"]\n  5 -> 19 [size =\"21327872\"]\n  6 [size=\"65580373\", alpha=\"0.08\", expect_size=\"19674112\"] \n  6 -> 11 [size =\"19674112\"]\n  6 -> 15 [size =\"19674112\"]\n  6 -> 16 [size =\"19674112\"]\n  6 -> 17 [size =\"19674112\"]\n  7 [size=\"163549867\", alpha=\"0.06\", expect_size=\"49064960\"] \n  7 -> 10 [size =\"49064960\"]\n  7 -> 11 [size =\"49064960\"]\n  7 -> 14 [size =\"49064960\"]\n  7 -> 15 [size =\"49064960\"]\n  8 [size=\"62013440\", alpha=\"0.13\", expect_size=\"18604032\"] \n  8 -> 10 [size =\"18604032\"]\n  8 -> 11 [size =\"18604032\"]\n  8 -> 13 [size =\"18604032\"]\n  8 -> 16 [size =\"18604032\"]\n  8 -> 18 [size =\"18604032\"]\n  9 [size=\"141810347\", alpha=\"0.02\", expect_size=\"42543104\"] \n  9 -> 14 [size =\"42543104\"]\n  9 -> 15 [size =\"42543104\"]\n  9 -> 16 [size =\"42543104\"]\n  9 -> 17 [size =\"42543104\"]\n  10 [size=\"26176853\", alpha=\"0.13\", expect_size=\"7853056\"] \n  10 -> 21 [size =\"7853056\"]\n  10 -> 22 [size =\"7853056\"]\n  10 -> 24 [size =\"7853056\"]\n  10 -> 26 [size =\"7853056\"]\n  10 -> 28 [size =\"7853056\"]\n  11 [size=\"20165973\", alpha=\"0.18\", expect_size=\"6049792\"] \n  11 -> 21 [size =\"6049792\"]\n  11 -> 23 [size =\"6049792\"]\n  11 -> 24 [size =\"6049792\"]\n  11 -> 26 [size =\"6049792\"]\n  11 -> 29 [size =\"6049792\"]\n  12 [size=\"120087893\", alpha=\"0.08\", expect_size=\"36026368\"] \n  12 -> 21 [size =\"36026368\"]\n  12 -> 23 [size =\"36026368\"]\n  12 -> 25 [size =\"36026368\"]\n  12 -> 26 [size =\"36026368\"]\n  12 -> 27 [size =\"36026368\"]\n  13 [size=\"86231040\", alpha=\"0.10\", expect_size=\"25869312\"] \n  13 -> 21 [size =\"25869312\"]\n  13 -> 22 [size =\"25869312\"]\n  13 -> 24 [size =\"25869312\"]\n  13 -> 26 [size =\"25869312\"]\n  13 -> 29 [size =\"25869312\"]\n  14 [size=\"105349120\", alpha=\"0.03\", expect_size=\"31604736\"] \n  14 -> 20 [size =\"31604736\"]\n  14 -> 21 [size =\"31604736\"]\n  14 -> 22 [size =\"31604736\"]\n  14 -> 23 [size =\"31604736\"]\n  14 -> 24 [size =\"31604736\"]\n  14 -> 26 [size =\"31604736\"]\n  14 -> 27 [size =\"31604736\"]\n  15 [size=\"128733867\", alpha=\"0.05\", expect_size=\"38620160\"] \n  15 -> 20 [size =\"38620160\"]\n  15 -> 21 [size =\"38620160\"]\n  15 -> 23 [size =\"38620160\"]\n  15 -> 24 [size =\"38620160\"]\n  15 -> 25 [size =\"38620160\"]\n  15 -> 29 [size =\"38620160\"]\n  16 [size=\"81315840\", alpha=\"0.14\", expect_size=\"24394752\"] \n  16 -> 21 [size =\"24394752\"]\n  16 -> 21 [size =\"24394752\"]\n  16 -> 26 [size =\"24394752\"]\n  16 -> 27 [size =\"24394752\"]\n  17 [size=\"147595947\", alpha=\"0.06\", expect_size=\"44278784\"] \n  17 -> 21 [size =\"44278784\"]\n  17 -> 23 [size =\"44278784\"]\n  17 -> 24 [size =\"44278784\"]\n  17 -> 26 [size =\"44278784\"]\n  18 [size=\"40096427\", alpha=\"0.14\", expect_size=\"12028928\"] \n  18 -> 26 [size =\"12028928\"]\n  18 -> 29 [size =\"12028928\"]\n  19 [size=\"139066027\", alpha=\"0.19\", expect_size=\"41719808\"] \n  19 -> 20 [size =\"41719808\"]\n  19 -> 22 [size =\"41719808\"]\n  19 -> 23 [size =\"41719808\"]\n  19 -> 26 [size =\"41719808\"]\n  19 -> 28 [size =\"41719808\"]\n  20 [size=\"154903893\", alpha=\"0.04\", expect_size=\"46471168\"] \n  21 [size=\"100068693\", alpha=\"0.15\", expect_size=\"30020608\"] \n  22 [size=\"83572053\", alpha=\"0.08\", expect_size=\"25071616\"] \n  22 -> 30 [size =\"25071616\"]\n  23 [size=\"145319253\", alpha=\"0.19\", expect_size=\"43595776\"] \n  23 -> 30 [size =\"43595776\"]\n  24 [size=\"69440853\", alpha=\"0.17\", expect_size=\"20832256\"] \n  24 -> 30 [size =\"20832256\"]\n  25 [size=\"96481280\", alpha=\"0.03\", expect_size=\"28944384\"] \n  25 -> 30 [size =\"28944384\"]\n  26 [size=\"131884373\", alpha=\"0.14\", expect_size=\"39565312\"] \n  26 -> 30 [size =\"39565312\"]\n  27 [size=\"87671467\", alpha=\"0.04\", expect_size=\"26301440\"] \n  27 -> 30 [size =\"26301440\"]\n  28 [size=\"137618773\", alpha=\"0.19\", expect_size=\"41285632\"] \n  29 [size=\"90531840\", alpha=\"0.11\", expect_size=\"27159552\"] \n  29 -> 30 [size =\"27159552\"]\n  30 [size=\"86391467\", alpha=\"0.03\", expect_size=\"25917440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68976640\", alpha=\"0.03\", expect_size=\"20692992\"] \n  1 -> 2 [size =\"20692992\"]\n  2 [size=\"172083200\", alpha=\"0.07\", expect_size=\"51624960\"] \n  2 -> 3 [size =\"51624960\"]\n  3 [size=\"122531840\", alpha=\"0.02\", expect_size=\"36759552\"] \n  3 -> 4 [size =\"36759552\"]\n  4 [size=\"139509760\", alpha=\"0.09\", expect_size=\"41852928\"] \n  4 -> 5 [size =\"41852928\"]\n  5 [size=\"131365547\", alpha=\"0.19\", expect_size=\"39409664\"] \n  5 -> 6 [size =\"39409664\"]\n  6 [size=\"152886613\", alpha=\"0.03\", expect_size=\"45865984\"] \n  6 -> 7 [size =\"45865984\"]\n  7 [size=\"165594453\", alpha=\"0.05\", expect_size=\"49678336\"] \n  7 -> 8 [size =\"49678336\"]\n  8 [size=\"108544000\", alpha=\"0.12\", expect_size=\"32563200\"] \n  8 -> 9 [size =\"32563200\"]\n  9 [size=\"161887573\", alpha=\"0.16\", expect_size=\"48566272\"] \n  9 -> 10 [size =\"48566272\"]\n  10 [size=\"51817813\", alpha=\"0.16\", expect_size=\"15545344\"] \n  10 -> 11 [size =\"15545344\"]\n  11 [size=\"114329600\", alpha=\"0.05\", expect_size=\"34298880\"] \n  11 -> 12 [size =\"34298880\"]\n  12 [size=\"139048960\", alpha=\"0.06\", expect_size=\"41714688\"] \n  12 -> 13 [size =\"41714688\"]\n  13 [size=\"40608427\", alpha=\"0.04\", expect_size=\"12182528\"] \n  13 -> 14 [size =\"12182528\"]\n  14 [size=\"53975040\", alpha=\"0.01\", expect_size=\"16192512\"] \n  14 -> 15 [size =\"16192512\"]\n  15 [size=\"124443307\", alpha=\"0.16\", expect_size=\"37332992\"] \n  15 -> 16 [size =\"37332992\"]\n  16 [size=\"114821120\", alpha=\"0.13\", expect_size=\"34446336\"] \n  16 -> 17 [size =\"34446336\"]\n  17 [size=\"136605013\", alpha=\"0.01\", expect_size=\"40981504\"] \n  17 -> 18 [size =\"40981504\"]\n  18 [size=\"20613120\", alpha=\"0.10\", expect_size=\"6183936\"] \n  18 -> 19 [size =\"6183936\"]\n  19 [size=\"113435307\", alpha=\"0.04\", expect_size=\"34030592\"] \n  19 -> 20 [size =\"34030592\"]\n  20 [size=\"85705387\", alpha=\"0.19\", expect_size=\"25711616\"] \n  20 -> 21 [size =\"25711616\"]\n  21 [size=\"52558507\", alpha=\"0.20\", expect_size=\"15767552\"] \n  21 -> 22 [size =\"15767552\"]\n  22 [size=\"89419093\", alpha=\"0.01\", expect_size=\"26825728\"] \n  22 -> 23 [size =\"26825728\"]\n  23 [size=\"133311147\", alpha=\"0.15\", expect_size=\"39993344\"] \n  23 -> 24 [size =\"39993344\"]\n  24 [size=\"161361920\", alpha=\"0.04\", expect_size=\"48408576\"] \n  24 -> 25 [size =\"48408576\"]\n  25 [size=\"165881173\", alpha=\"0.08\", expect_size=\"49764352\"] \n  25 -> 26 [size =\"49764352\"]\n  26 [size=\"134403413\", alpha=\"0.10\", expect_size=\"40321024\"] \n  26 -> 27 [size =\"40321024\"]\n  27 [size=\"77028693\", alpha=\"0.10\", expect_size=\"23108608\"] \n  27 -> 28 [size =\"23108608\"]\n  28 [size=\"85125120\", alpha=\"0.02\", expect_size=\"25537536\"] \n  28 -> 29 [size =\"25537536\"]\n  29 [size=\"162706773\", alpha=\"0.12\", expect_size=\"48812032\"] \n  29 -> 30 [size =\"48812032\"]\n  30 [size=\"37847040\", alpha=\"0.06\", expect_size=\"11354112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64811008\", alpha=\"0.13\", expect_size=\"32405504\"] \n  1 -> 2 [size =\"32405504\"]\n  2 [size=\"66488320\", alpha=\"0.13\", expect_size=\"33244160\"] \n  2 -> 3 [size =\"33244160\"]\n  3 [size=\"42575872\", alpha=\"0.08\", expect_size=\"21287936\"] \n  3 -> 4 [size =\"21287936\"]\n  4 [size=\"15896576\", alpha=\"0.19\", expect_size=\"7948288\"] \n  4 -> 5 [size =\"7948288\"]\n  5 [size=\"34000896\", alpha=\"0.17\", expect_size=\"17000448\"] \n  5 -> 6 [size =\"17000448\"]\n  6 [size=\"21149696\", alpha=\"0.11\", expect_size=\"10574848\"] \n  6 -> 7 [size =\"10574848\"]\n  7 [size=\"50475008\", alpha=\"0.19\", expect_size=\"25237504\"] \n  7 -> 8 [size =\"25237504\"]\n  8 [size=\"74237952\", alpha=\"0.18\", expect_size=\"37118976\"] \n  8 -> 9 [size =\"37118976\"]\n  9 [size=\"42086400\", alpha=\"0.08\", expect_size=\"21043200\"] \n  9 -> 10 [size =\"21043200\"]\n  10 [size=\"24678400\", alpha=\"0.04\", expect_size=\"12339200\"] \n  10 -> 11 [size =\"12339200\"]\n  11 [size=\"48257024\", alpha=\"0.09\", expect_size=\"24128512\"] \n  11 -> 12 [size =\"24128512\"]\n  12 [size=\"15618048\", alpha=\"0.02\", expect_size=\"7809024\"] \n  12 -> 13 [size =\"7809024\"]\n  13 [size=\"78931968\", alpha=\"0.17\", expect_size=\"39465984\"] \n  13 -> 14 [size =\"39465984\"]\n  14 [size=\"23533568\", alpha=\"0.01\", expect_size=\"11766784\"] \n  14 -> 15 [size =\"11766784\"]\n  15 [size=\"17395712\", alpha=\"0.18\", expect_size=\"8697856\"] \n  15 -> 16 [size =\"8697856\"]\n  16 [size=\"98541568\", alpha=\"0.07\", expect_size=\"49270784\"] \n  16 -> 17 [size =\"49270784\"]\n  17 [size=\"57548800\", alpha=\"0.07\", expect_size=\"28774400\"] \n  17 -> 18 [size =\"28774400\"]\n  18 [size=\"51089408\", alpha=\"0.01\", expect_size=\"25544704\"] \n  18 -> 19 [size =\"25544704\"]\n  19 [size=\"40798208\", alpha=\"0.06\", expect_size=\"20399104\"] \n  19 -> 20 [size =\"20399104\"]\n  20 [size=\"80443392\", alpha=\"0.17\", expect_size=\"40221696\"] \n  20 -> 21 [size =\"40221696\"]\n  21 [size=\"100501504\", alpha=\"0.19\", expect_size=\"50250752\"] \n  21 -> 22 [size =\"50250752\"]\n  22 [size=\"47990784\", alpha=\"0.14\", expect_size=\"23995392\"] \n  22 -> 23 [size =\"23995392\"]\n  23 [size=\"57477120\", alpha=\"0.15\", expect_size=\"28738560\"] \n  23 -> 24 [size =\"28738560\"]\n  24 [size=\"42115072\", alpha=\"0.17\", expect_size=\"21057536\"] \n  24 -> 25 [size =\"21057536\"]\n  25 [size=\"48498688\", alpha=\"0.04\", expect_size=\"24249344\"] \n  25 -> 26 [size =\"24249344\"]\n  26 [size=\"38660096\", alpha=\"0.13\", expect_size=\"19330048\"] \n  26 -> 27 [size =\"19330048\"]\n  27 [size=\"69814272\", alpha=\"0.11\", expect_size=\"34907136\"] \n  27 -> 28 [size =\"34907136\"]\n  28 [size=\"100585472\", alpha=\"0.03\", expect_size=\"50292736\"] \n  28 -> 29 [size =\"50292736\"]\n  29 [size=\"11202560\", alpha=\"0.01\", expect_size=\"5601280\"] \n  29 -> 30 [size =\"5601280\"]\n  30 [size=\"41166848\", alpha=\"0.02\", expect_size=\"20583424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51858773\", alpha=\"0.18\", expect_size=\"15557632\"] \n  2 [size=\"138806613\", alpha=\"0.12\", expect_size=\"41641984\"] \n  2 -> 4 [size =\"41641984\"]\n  2 -> 5 [size =\"41641984\"]\n  3 [size=\"36205227\", alpha=\"0.01\", expect_size=\"10861568\"] \n  4 [size=\"34447360\", alpha=\"0.09\", expect_size=\"10334208\"] \n  4 -> 8 [size =\"10334208\"]\n  4 -> 9 [size =\"10334208\"]\n  4 -> 10 [size =\"10334208\"]\n  4 -> 11 [size =\"10334208\"]\n  5 [size=\"140161707\", alpha=\"0.15\", expect_size=\"42048512\"] \n  5 -> 6 [size =\"42048512\"]\n  5 -> 7 [size =\"42048512\"]\n  5 -> 9 [size =\"42048512\"]\n  6 [size=\"29863253\", alpha=\"0.04\", expect_size=\"8958976\"] \n  6 -> 14 [size =\"8958976\"]\n  6 -> 14 [size =\"8958976\"]\n  7 [size=\"130136747\", alpha=\"0.03\", expect_size=\"39041024\"] \n  7 -> 12 [size =\"39041024\"]\n  8 [size=\"20736000\", alpha=\"0.07\", expect_size=\"6220800\"] \n  8 -> 12 [size =\"6220800\"]\n  9 [size=\"34075307\", alpha=\"0.12\", expect_size=\"10222592\"] \n  10 [size=\"125904213\", alpha=\"0.03\", expect_size=\"37771264\"] \n  10 -> 13 [size =\"37771264\"]\n  11 [size=\"173028693\", alpha=\"0.16\", expect_size=\"51908608\"] \n  11 -> 12 [size =\"51908608\"]\n  11 -> 14 [size =\"51908608\"]\n  12 [size=\"154248533\", alpha=\"0.00\", expect_size=\"46274560\"] \n  12 -> 17 [size =\"46274560\"]\n  13 [size=\"90217813\", alpha=\"0.10\", expect_size=\"27065344\"] \n  13 -> 15 [size =\"27065344\"]\n  13 -> 17 [size =\"27065344\"]\n  13 -> 18 [size =\"27065344\"]\n  13 -> 19 [size =\"27065344\"]\n  14 [size=\"99887787\", alpha=\"0.09\", expect_size=\"29966336\"] \n  14 -> 15 [size =\"29966336\"]\n  14 -> 16 [size =\"29966336\"]\n  14 -> 18 [size =\"29966336\"]\n  14 -> 19 [size =\"29966336\"]\n  15 [size=\"170106880\", alpha=\"0.12\", expect_size=\"51032064\"] \n  15 -> 21 [size =\"51032064\"]\n  15 -> 22 [size =\"51032064\"]\n  16 [size=\"127976107\", alpha=\"0.07\", expect_size=\"38392832\"] \n  16 -> 23 [size =\"38392832\"]\n  17 [size=\"158078293\", alpha=\"0.05\", expect_size=\"47423488\"] \n  17 -> 20 [size =\"47423488\"]\n  17 -> 23 [size =\"47423488\"]\n  18 [size=\"24432640\", alpha=\"0.16\", expect_size=\"7329792\"] \n  18 -> 21 [size =\"7329792\"]\n  19 [size=\"79028907\", alpha=\"0.03\", expect_size=\"23708672\"] \n  19 -> 20 [size =\"23708672\"]\n  19 -> 21 [size =\"23708672\"]\n  19 -> 24 [size =\"23708672\"]\n  20 [size=\"171465387\", alpha=\"0.02\", expect_size=\"51439616\"] \n  20 -> 25 [size =\"51439616\"]\n  20 -> 26 [size =\"51439616\"]\n  21 [size=\"40181760\", alpha=\"0.05\", expect_size=\"12054528\"] \n  21 -> 29 [size =\"12054528\"]\n  22 [size=\"163952640\", alpha=\"0.04\", expect_size=\"49185792\"] \n  22 -> 29 [size =\"49185792\"]\n  23 [size=\"165809493\", alpha=\"0.05\", expect_size=\"49742848\"] \n  23 -> 26 [size =\"49742848\"]\n  23 -> 27 [size =\"49742848\"]\n  23 -> 28 [size =\"49742848\"]\n  24 [size=\"86702080\", alpha=\"0.08\", expect_size=\"26010624\"] \n  24 -> 25 [size =\"26010624\"]\n  24 -> 27 [size =\"26010624\"]\n  25 [size=\"160095573\", alpha=\"0.07\", expect_size=\"48028672\"] \n  26 [size=\"97682773\", alpha=\"0.08\", expect_size=\"29304832\"] \n  26 -> 30 [size =\"29304832\"]\n  27 [size=\"150603093\", alpha=\"0.03\", expect_size=\"45180928\"] \n  28 [size=\"32003413\", alpha=\"0.18\", expect_size=\"9601024\"] \n  28 -> 30 [size =\"9601024\"]\n  29 [size=\"159242240\", alpha=\"0.15\", expect_size=\"47772672\"] \n  29 -> 30 [size =\"47772672\"]\n  30 [size=\"22845440\", alpha=\"0.07\", expect_size=\"6853632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44464640\", alpha=\"0.11\", expect_size=\"17785856\"] \n  1 -> 2 [size =\"17785856\"]\n  2 [size=\"28021760\", alpha=\"0.20\", expect_size=\"11208704\"] \n  2 -> 3 [size =\"11208704\"]\n  3 [size=\"94269440\", alpha=\"0.07\", expect_size=\"37707776\"] \n  3 -> 4 [size =\"37707776\"]\n  4 [size=\"73256960\", alpha=\"0.05\", expect_size=\"29302784\"] \n  4 -> 5 [size =\"29302784\"]\n  5 [size=\"83415040\", alpha=\"0.09\", expect_size=\"33366016\"] \n  5 -> 6 [size =\"33366016\"]\n  6 [size=\"94220800\", alpha=\"0.07\", expect_size=\"37688320\"] \n  6 -> 7 [size =\"37688320\"]\n  7 [size=\"108833280\", alpha=\"0.12\", expect_size=\"43533312\"] \n  7 -> 8 [size =\"43533312\"]\n  8 [size=\"39226880\", alpha=\"0.15\", expect_size=\"15690752\"] \n  8 -> 9 [size =\"15690752\"]\n  9 [size=\"16048640\", alpha=\"0.17\", expect_size=\"6419456\"] \n  9 -> 10 [size =\"6419456\"]\n  10 [size=\"29632000\", alpha=\"0.13\", expect_size=\"11852800\"] \n  10 -> 11 [size =\"11852800\"]\n  11 [size=\"44257280\", alpha=\"0.08\", expect_size=\"17702912\"] \n  11 -> 12 [size =\"17702912\"]\n  12 [size=\"106828800\", alpha=\"0.20\", expect_size=\"42731520\"] \n  12 -> 13 [size =\"42731520\"]\n  13 [size=\"104102400\", alpha=\"0.18\", expect_size=\"41640960\"] \n  13 -> 14 [size =\"41640960\"]\n  14 [size=\"28608000\", alpha=\"0.11\", expect_size=\"11443200\"] \n  14 -> 15 [size =\"11443200\"]\n  15 [size=\"58309120\", alpha=\"0.05\", expect_size=\"23323648\"] \n  15 -> 16 [size =\"23323648\"]\n  16 [size=\"110080000\", alpha=\"0.06\", expect_size=\"44032000\"] \n  16 -> 17 [size =\"44032000\"]\n  17 [size=\"33674240\", alpha=\"0.15\", expect_size=\"13469696\"] \n  17 -> 18 [size =\"13469696\"]\n  18 [size=\"105502720\", alpha=\"0.18\", expect_size=\"42201088\"] \n  18 -> 19 [size =\"42201088\"]\n  19 [size=\"73694720\", alpha=\"0.14\", expect_size=\"29477888\"] \n  19 -> 20 [size =\"29477888\"]\n  20 [size=\"57272320\", alpha=\"0.06\", expect_size=\"22908928\"] \n  20 -> 21 [size =\"22908928\"]\n  21 [size=\"18636800\", alpha=\"0.03\", expect_size=\"7454720\"] \n  21 -> 22 [size =\"7454720\"]\n  22 [size=\"64977920\", alpha=\"0.03\", expect_size=\"25991168\"] \n  22 -> 23 [size =\"25991168\"]\n  23 [size=\"63575040\", alpha=\"0.17\", expect_size=\"25430016\"] \n  23 -> 24 [size =\"25430016\"]\n  24 [size=\"48934400\", alpha=\"0.00\", expect_size=\"19573760\"] \n  24 -> 25 [size =\"19573760\"]\n  25 [size=\"113354240\", alpha=\"0.16\", expect_size=\"45341696\"] \n  25 -> 26 [size =\"45341696\"]\n  26 [size=\"22937600\", alpha=\"0.05\", expect_size=\"9175040\"] \n  26 -> 27 [size =\"9175040\"]\n  27 [size=\"59893760\", alpha=\"0.11\", expect_size=\"23957504\"] \n  27 -> 28 [size =\"23957504\"]\n  28 [size=\"28569600\", alpha=\"0.01\", expect_size=\"11427840\"] \n  28 -> 29 [size =\"11427840\"]\n  29 [size=\"14809600\", alpha=\"0.12\", expect_size=\"5923840\"] \n  29 -> 30 [size =\"5923840\"]\n  30 [size=\"97868800\", alpha=\"0.05\", expect_size=\"39147520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86865920\", alpha=\"0.18\", expect_size=\"26059776\"] \n  1 -> 6 [size =\"26059776\"]\n  1 -> 8 [size =\"26059776\"]\n  2 [size=\"83503787\", alpha=\"0.06\", expect_size=\"25051136\"] \n  2 -> 6 [size =\"25051136\"]\n  2 -> 7 [size =\"25051136\"]\n  3 [size=\"109731840\", alpha=\"0.06\", expect_size=\"32919552\"] \n  3 -> 6 [size =\"32919552\"]\n  3 -> 7 [size =\"32919552\"]\n  3 -> 8 [size =\"32919552\"]\n  4 [size=\"43639467\", alpha=\"0.02\", expect_size=\"13091840\"] \n  4 -> 6 [size =\"13091840\"]\n  4 -> 8 [size =\"13091840\"]\n  5 [size=\"107328853\", alpha=\"0.11\", expect_size=\"32198656\"] \n  5 -> 6 [size =\"32198656\"]\n  6 [size=\"27787947\", alpha=\"0.02\", expect_size=\"8336384\"] \n  6 -> 9 [size =\"8336384\"]\n  6 -> 11 [size =\"8336384\"]\n  6 -> 12 [size =\"8336384\"]\n  6 -> 13 [size =\"8336384\"]\n  6 -> 15 [size =\"8336384\"]\n  7 [size=\"26658133\", alpha=\"0.01\", expect_size=\"7997440\"] \n  7 -> 9 [size =\"7997440\"]\n  7 -> 10 [size =\"7997440\"]\n  7 -> 13 [size =\"7997440\"]\n  7 -> 15 [size =\"7997440\"]\n  8 [size=\"140161707\", alpha=\"0.13\", expect_size=\"42048512\"] \n  8 -> 9 [size =\"42048512\"]\n  8 -> 10 [size =\"42048512\"]\n  8 -> 11 [size =\"42048512\"]\n  8 -> 12 [size =\"42048512\"]\n  8 -> 13 [size =\"42048512\"]\n  8 -> 14 [size =\"42048512\"]\n  8 -> 15 [size =\"42048512\"]\n  9 [size=\"20343467\", alpha=\"0.04\", expect_size=\"6103040\"] \n  9 -> 17 [size =\"6103040\"]\n  9 -> 18 [size =\"6103040\"]\n  9 -> 20 [size =\"6103040\"]\n  10 [size=\"70884693\", alpha=\"0.04\", expect_size=\"21265408\"] \n  10 -> 16 [size =\"21265408\"]\n  10 -> 19 [size =\"21265408\"]\n  11 [size=\"146612907\", alpha=\"0.13\", expect_size=\"43983872\"] \n  11 -> 19 [size =\"43983872\"]\n  11 -> 19 [size =\"43983872\"]\n  12 [size=\"134133760\", alpha=\"0.20\", expect_size=\"40240128\"] \n  12 -> 16 [size =\"40240128\"]\n  12 -> 18 [size =\"40240128\"]\n  12 -> 19 [size =\"40240128\"]\n  13 [size=\"24463360\", alpha=\"0.07\", expect_size=\"7339008\"] \n  13 -> 16 [size =\"7339008\"]\n  13 -> 18 [size =\"7339008\"]\n  13 -> 19 [size =\"7339008\"]\n  13 -> 20 [size =\"7339008\"]\n  14 [size=\"70283947\", alpha=\"0.11\", expect_size=\"21085184\"] \n  14 -> 16 [size =\"21085184\"]\n  14 -> 18 [size =\"21085184\"]\n  14 -> 19 [size =\"21085184\"]\n  14 -> 20 [size =\"21085184\"]\n  15 [size=\"85698560\", alpha=\"0.19\", expect_size=\"25709568\"] \n  15 -> 16 [size =\"25709568\"]\n  15 -> 19 [size =\"25709568\"]\n  16 [size=\"171980800\", alpha=\"0.02\", expect_size=\"51594240\"] \n  16 -> 22 [size =\"51594240\"]\n  16 -> 23 [size =\"51594240\"]\n  16 -> 24 [size =\"51594240\"]\n  17 [size=\"32764587\", alpha=\"0.16\", expect_size=\"9829376\"] \n  17 -> 23 [size =\"9829376\"]\n  17 -> 23 [size =\"9829376\"]\n  18 [size=\"37157547\", alpha=\"0.16\", expect_size=\"11147264\"] \n  18 -> 21 [size =\"11147264\"]\n  18 -> 22 [size =\"11147264\"]\n  18 -> 23 [size =\"11147264\"]\n  19 [size=\"140902400\", alpha=\"0.16\", expect_size=\"42270720\"] \n  19 -> 21 [size =\"42270720\"]\n  20 [size=\"169543680\", alpha=\"0.17\", expect_size=\"50863104\"] \n  20 -> 23 [size =\"50863104\"]\n  20 -> 24 [size =\"50863104\"]\n  21 [size=\"44578133\", alpha=\"0.06\", expect_size=\"13373440\"] \n  21 -> 25 [size =\"13373440\"]\n  22 [size=\"149596160\", alpha=\"0.03\", expect_size=\"44878848\"] \n  22 -> 25 [size =\"44878848\"]\n  23 [size=\"149592747\", alpha=\"0.12\", expect_size=\"44877824\"] \n  24 [size=\"43608747\", alpha=\"0.05\", expect_size=\"13082624\"] \n  24 -> 25 [size =\"13082624\"]\n  24 -> 26 [size =\"13082624\"]\n  25 [size=\"133495467\", alpha=\"0.09\", expect_size=\"40048640\"] \n  25 -> 27 [size =\"40048640\"]\n  25 -> 28 [size =\"40048640\"]\n  26 [size=\"122214400\", alpha=\"0.14\", expect_size=\"36664320\"] \n  26 -> 27 [size =\"36664320\"]\n  26 -> 28 [size =\"36664320\"]\n  27 [size=\"135372800\", alpha=\"0.01\", expect_size=\"40611840\"] \n  27 -> 29 [size =\"40611840\"]\n  27 -> 30 [size =\"40611840\"]\n  28 [size=\"100676267\", alpha=\"0.03\", expect_size=\"30202880\"] \n  28 -> 29 [size =\"30202880\"]\n  28 -> 30 [size =\"30202880\"]\n  29 [size=\"70973440\", alpha=\"0.05\", expect_size=\"21292032\"] \n  30 [size=\"41840640\", alpha=\"0.14\", expect_size=\"12552192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139168427\", alpha=\"0.20\", expect_size=\"41750528\"] \n  1 -> 2 [size =\"41750528\"]\n  2 [size=\"151661227\", alpha=\"0.14\", expect_size=\"45498368\"] \n  2 -> 3 [size =\"45498368\"]\n  3 [size=\"144534187\", alpha=\"0.05\", expect_size=\"43360256\"] \n  3 -> 4 [size =\"43360256\"]\n  4 [size=\"153275733\", alpha=\"0.14\", expect_size=\"45982720\"] \n  4 -> 5 [size =\"45982720\"]\n  5 [size=\"34959360\", alpha=\"0.02\", expect_size=\"10487808\"] \n  5 -> 6 [size =\"10487808\"]\n  6 [size=\"125371733\", alpha=\"0.05\", expect_size=\"37611520\"] \n  6 -> 7 [size =\"37611520\"]\n  7 [size=\"156992853\", alpha=\"0.14\", expect_size=\"47097856\"] \n  7 -> 8 [size =\"47097856\"]\n  8 [size=\"113493333\", alpha=\"0.03\", expect_size=\"34048000\"] \n  8 -> 9 [size =\"34048000\"]\n  9 [size=\"163310933\", alpha=\"0.15\", expect_size=\"48993280\"] \n  9 -> 10 [size =\"48993280\"]\n  10 [size=\"82875733\", alpha=\"0.09\", expect_size=\"24862720\"] \n  10 -> 11 [size =\"24862720\"]\n  11 [size=\"70359040\", alpha=\"0.01\", expect_size=\"21107712\"] \n  11 -> 12 [size =\"21107712\"]\n  12 [size=\"68345173\", alpha=\"0.05\", expect_size=\"20503552\"] \n  12 -> 13 [size =\"20503552\"]\n  13 [size=\"17906347\", alpha=\"0.15\", expect_size=\"5371904\"] \n  13 -> 14 [size =\"5371904\"]\n  14 [size=\"57862827\", alpha=\"0.17\", expect_size=\"17358848\"] \n  14 -> 15 [size =\"17358848\"]\n  15 [size=\"167543467\", alpha=\"0.12\", expect_size=\"50263040\"] \n  15 -> 16 [size =\"50263040\"]\n  16 [size=\"27221333\", alpha=\"0.12\", expect_size=\"8166400\"] \n  16 -> 17 [size =\"8166400\"]\n  17 [size=\"69266773\", alpha=\"0.05\", expect_size=\"20780032\"] \n  17 -> 18 [size =\"20780032\"]\n  18 [size=\"21244587\", alpha=\"0.07\", expect_size=\"6373376\"] \n  18 -> 19 [size =\"6373376\"]\n  19 [size=\"45694293\", alpha=\"0.12\", expect_size=\"13708288\"] \n  19 -> 20 [size =\"13708288\"]\n  20 [size=\"161532587\", alpha=\"0.09\", expect_size=\"48459776\"] \n  20 -> 21 [size =\"48459776\"]\n  21 [size=\"76315307\", alpha=\"0.01\", expect_size=\"22894592\"] \n  21 -> 22 [size =\"22894592\"]\n  22 [size=\"80971093\", alpha=\"0.10\", expect_size=\"24291328\"] \n  22 -> 23 [size =\"24291328\"]\n  23 [size=\"122695680\", alpha=\"0.15\", expect_size=\"36808704\"] \n  23 -> 24 [size =\"36808704\"]\n  24 [size=\"83097600\", alpha=\"0.17\", expect_size=\"24929280\"] \n  24 -> 25 [size =\"24929280\"]\n  25 [size=\"61856427\", alpha=\"0.02\", expect_size=\"18556928\"] \n  25 -> 26 [size =\"18556928\"]\n  26 [size=\"159262720\", alpha=\"0.00\", expect_size=\"47778816\"] \n  26 -> 27 [size =\"47778816\"]\n  27 [size=\"99874133\", alpha=\"0.16\", expect_size=\"29962240\"] \n  27 -> 28 [size =\"29962240\"]\n  28 [size=\"140997973\", alpha=\"0.05\", expect_size=\"42299392\"] \n  28 -> 29 [size =\"42299392\"]\n  29 [size=\"42059093\", alpha=\"0.12\", expect_size=\"12617728\"] \n  29 -> 30 [size =\"12617728\"]\n  30 [size=\"136673280\", alpha=\"0.07\", expect_size=\"41001984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169560747\", alpha=\"0.08\", expect_size=\"50868224\"] \n  1 -> 2 [size =\"50868224\"]\n  2 [size=\"40161280\", alpha=\"0.19\", expect_size=\"12048384\"] \n  2 -> 3 [size =\"12048384\"]\n  3 [size=\"101133653\", alpha=\"0.12\", expect_size=\"30340096\"] \n  3 -> 4 [size =\"30340096\"]\n  4 [size=\"125736960\", alpha=\"0.01\", expect_size=\"37721088\"] \n  4 -> 5 [size =\"37721088\"]\n  5 [size=\"56487253\", alpha=\"0.11\", expect_size=\"16946176\"] \n  5 -> 6 [size =\"16946176\"]\n  6 [size=\"142090240\", alpha=\"0.02\", expect_size=\"42627072\"] \n  6 -> 7 [size =\"42627072\"]\n  7 [size=\"97030827\", alpha=\"0.06\", expect_size=\"29109248\"] \n  7 -> 8 [size =\"29109248\"]\n  8 [size=\"151995733\", alpha=\"0.13\", expect_size=\"45598720\"] \n  8 -> 9 [size =\"45598720\"]\n  9 [size=\"157842773\", alpha=\"0.04\", expect_size=\"47352832\"] \n  9 -> 10 [size =\"47352832\"]\n  10 [size=\"139386880\", alpha=\"0.01\", expect_size=\"41816064\"] \n  10 -> 11 [size =\"41816064\"]\n  11 [size=\"142271147\", alpha=\"0.00\", expect_size=\"42681344\"] \n  11 -> 12 [size =\"42681344\"]\n  12 [size=\"48865280\", alpha=\"0.15\", expect_size=\"14659584\"] \n  12 -> 13 [size =\"14659584\"]\n  13 [size=\"42615467\", alpha=\"0.09\", expect_size=\"12784640\"] \n  13 -> 14 [size =\"12784640\"]\n  14 [size=\"139782827\", alpha=\"0.09\", expect_size=\"41934848\"] \n  14 -> 15 [size =\"41934848\"]\n  15 [size=\"150999040\", alpha=\"0.17\", expect_size=\"45299712\"] \n  15 -> 16 [size =\"45299712\"]\n  16 [size=\"84142080\", alpha=\"0.08\", expect_size=\"25242624\"] \n  16 -> 17 [size =\"25242624\"]\n  17 [size=\"97515520\", alpha=\"0.20\", expect_size=\"29254656\"] \n  17 -> 18 [size =\"29254656\"]\n  18 [size=\"147981653\", alpha=\"0.02\", expect_size=\"44394496\"] \n  18 -> 19 [size =\"44394496\"]\n  19 [size=\"95883947\", alpha=\"0.06\", expect_size=\"28765184\"] \n  19 -> 20 [size =\"28765184\"]\n  20 [size=\"125149867\", alpha=\"0.09\", expect_size=\"37544960\"] \n  20 -> 21 [size =\"37544960\"]\n  21 [size=\"135458133\", alpha=\"0.11\", expect_size=\"40637440\"] \n  21 -> 22 [size =\"40637440\"]\n  22 [size=\"136325120\", alpha=\"0.16\", expect_size=\"40897536\"] \n  22 -> 23 [size =\"40897536\"]\n  23 [size=\"95842987\", alpha=\"0.11\", expect_size=\"28752896\"] \n  23 -> 24 [size =\"28752896\"]\n  24 [size=\"165068800\", alpha=\"0.01\", expect_size=\"49520640\"] \n  24 -> 25 [size =\"49520640\"]\n  25 [size=\"75397120\", alpha=\"0.15\", expect_size=\"22619136\"] \n  25 -> 26 [size =\"22619136\"]\n  26 [size=\"51298987\", alpha=\"0.05\", expect_size=\"15389696\"] \n  26 -> 27 [size =\"15389696\"]\n  27 [size=\"116712107\", alpha=\"0.05\", expect_size=\"35013632\"] \n  27 -> 28 [size =\"35013632\"]\n  28 [size=\"114879147\", alpha=\"0.03\", expect_size=\"34463744\"] \n  28 -> 29 [size =\"34463744\"]\n  29 [size=\"133280427\", alpha=\"0.18\", expect_size=\"39984128\"] \n  29 -> 30 [size =\"39984128\"]\n  30 [size=\"22961493\", alpha=\"0.08\", expect_size=\"6888448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123074560\", alpha=\"0.14\", expect_size=\"49229824\"] \n  1 -> 12 [size =\"49229824\"]\n  1 -> 16 [size =\"49229824\"]\n  2 [size=\"102709760\", alpha=\"0.20\", expect_size=\"41083904\"] \n  2 -> 13 [size =\"41083904\"]\n  2 -> 14 [size =\"41083904\"]\n  3 [size=\"129525760\", alpha=\"0.15\", expect_size=\"51810304\"] \n  3 -> 11 [size =\"51810304\"]\n  3 -> 13 [size =\"51810304\"]\n  3 -> 15 [size =\"51810304\"]\n  4 [size=\"27801600\", alpha=\"0.12\", expect_size=\"11120640\"] \n  4 -> 9 [size =\"11120640\"]\n  4 -> 11 [size =\"11120640\"]\n  5 [size=\"118599680\", alpha=\"0.08\", expect_size=\"47439872\"] \n  5 -> 10 [size =\"47439872\"]\n  5 -> 11 [size =\"47439872\"]\n  5 -> 14 [size =\"47439872\"]\n  5 -> 16 [size =\"47439872\"]\n  6 [size=\"82099200\", alpha=\"0.14\", expect_size=\"32839680\"] \n  6 -> 12 [size =\"32839680\"]\n  7 [size=\"105612800\", alpha=\"0.11\", expect_size=\"42245120\"] \n  7 -> 11 [size =\"42245120\"]\n  7 -> 14 [size =\"42245120\"]\n  7 -> 15 [size =\"42245120\"]\n  8 [size=\"14627840\", alpha=\"0.18\", expect_size=\"5851136\"] \n  8 -> 15 [size =\"5851136\"]\n  9 [size=\"84976640\", alpha=\"0.15\", expect_size=\"33990656\"] \n  9 -> 19 [size =\"33990656\"]\n  9 -> 20 [size =\"33990656\"]\n  10 [size=\"118768640\", alpha=\"0.01\", expect_size=\"47507456\"] \n  10 -> 17 [size =\"47507456\"]\n  10 -> 18 [size =\"47507456\"]\n  10 -> 19 [size =\"47507456\"]\n  10 -> 24 [size =\"47507456\"]\n  11 [size=\"53708800\", alpha=\"0.08\", expect_size=\"21483520\"] \n  11 -> 19 [size =\"21483520\"]\n  11 -> 23 [size =\"21483520\"]\n  12 [size=\"17822720\", alpha=\"0.03\", expect_size=\"7129088\"] \n  13 [size=\"15191040\", alpha=\"0.01\", expect_size=\"6076416\"] \n  13 -> 18 [size =\"6076416\"]\n  13 -> 20 [size =\"6076416\"]\n  13 -> 21 [size =\"6076416\"]\n  14 [size=\"103546880\", alpha=\"0.02\", expect_size=\"41418752\"] \n  14 -> 17 [size =\"41418752\"]\n  14 -> 24 [size =\"41418752\"]\n  15 [size=\"55726080\", alpha=\"0.08\", expect_size=\"22290432\"] \n  15 -> 17 [size =\"22290432\"]\n  15 -> 21 [size =\"22290432\"]\n  16 [size=\"104975360\", alpha=\"0.08\", expect_size=\"41990144\"] \n  16 -> 17 [size =\"41990144\"]\n  16 -> 19 [size =\"41990144\"]\n  16 -> 22 [size =\"41990144\"]\n  16 -> 23 [size =\"41990144\"]\n  16 -> 24 [size =\"41990144\"]\n  17 [size=\"69319680\", alpha=\"0.04\", expect_size=\"27727872\"] \n  17 -> 26 [size =\"27727872\"]\n  17 -> 28 [size =\"27727872\"]\n  18 [size=\"16440320\", alpha=\"0.01\", expect_size=\"6576128\"] \n  19 [size=\"121579520\", alpha=\"0.05\", expect_size=\"48631808\"] \n  19 -> 29 [size =\"48631808\"]\n  19 -> 30 [size =\"48631808\"]\n  20 [size=\"92661760\", alpha=\"0.13\", expect_size=\"37064704\"] \n  20 -> 26 [size =\"37064704\"]\n  21 [size=\"98298880\", alpha=\"0.00\", expect_size=\"39319552\"] \n  21 -> 25 [size =\"39319552\"]\n  21 -> 27 [size =\"39319552\"]\n  22 [size=\"26255360\", alpha=\"0.02\", expect_size=\"10502144\"] \n  22 -> 25 [size =\"10502144\"]\n  23 [size=\"46433280\", alpha=\"0.04\", expect_size=\"18573312\"] \n  23 -> 25 [size =\"18573312\"]\n  23 -> 26 [size =\"18573312\"]\n  23 -> 27 [size =\"18573312\"]\n  23 -> 29 [size =\"18573312\"]\n  23 -> 30 [size =\"18573312\"]\n  24 [size=\"54860800\", alpha=\"0.09\", expect_size=\"21944320\"] \n  24 -> 26 [size =\"21944320\"]\n  24 -> 29 [size =\"21944320\"]\n  25 [size=\"68874240\", alpha=\"0.11\", expect_size=\"27549696\"] \n  26 [size=\"114211840\", alpha=\"0.05\", expect_size=\"45684736\"] \n  27 [size=\"44152320\", alpha=\"0.14\", expect_size=\"17660928\"] \n  28 [size=\"69882880\", alpha=\"0.04\", expect_size=\"27953152\"] \n  29 [size=\"76820480\", alpha=\"0.06\", expect_size=\"30728192\"] \n  30 [size=\"106352640\", alpha=\"0.06\", expect_size=\"42541056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63703040\", alpha=\"0.18\", expect_size=\"19110912\"] \n  1 -> 10 [size =\"19110912\"]\n  1 -> 11 [size =\"19110912\"]\n  1 -> 13 [size =\"19110912\"]\n  1 -> 14 [size =\"19110912\"]\n  1 -> 15 [size =\"19110912\"]\n  1 -> 16 [size =\"19110912\"]\n  1 -> 17 [size =\"19110912\"]\n  1 -> 18 [size =\"19110912\"]\n  2 [size=\"149899947\", alpha=\"0.13\", expect_size=\"44969984\"] \n  2 -> 10 [size =\"44969984\"]\n  2 -> 11 [size =\"44969984\"]\n  2 -> 16 [size =\"44969984\"]\n  2 -> 17 [size =\"44969984\"]\n  2 -> 19 [size =\"44969984\"]\n  3 [size=\"95580160\", alpha=\"0.11\", expect_size=\"28674048\"] \n  3 -> 11 [size =\"28674048\"]\n  3 -> 11 [size =\"28674048\"]\n  3 -> 12 [size =\"28674048\"]\n  4 [size=\"130242560\", alpha=\"0.10\", expect_size=\"39072768\"] \n  4 -> 10 [size =\"39072768\"]\n  4 -> 13 [size =\"39072768\"]\n  4 -> 14 [size =\"39072768\"]\n  4 -> 17 [size =\"39072768\"]\n  5 [size=\"55862613\", alpha=\"0.06\", expect_size=\"16758784\"] \n  5 -> 11 [size =\"16758784\"]\n  5 -> 13 [size =\"16758784\"]\n  5 -> 15 [size =\"16758784\"]\n  6 [size=\"157832533\", alpha=\"0.16\", expect_size=\"47349760\"] \n  6 -> 13 [size =\"47349760\"]\n  6 -> 18 [size =\"47349760\"]\n  7 [size=\"122917547\", alpha=\"0.20\", expect_size=\"36875264\"] \n  7 -> 12 [size =\"36875264\"]\n  7 -> 15 [size =\"36875264\"]\n  7 -> 16 [size =\"36875264\"]\n  8 [size=\"166604800\", alpha=\"0.05\", expect_size=\"49981440\"] \n  8 -> 10 [size =\"49981440\"]\n  8 -> 12 [size =\"49981440\"]\n  8 -> 16 [size =\"49981440\"]\n  8 -> 17 [size =\"49981440\"]\n  9 [size=\"137990827\", alpha=\"0.19\", expect_size=\"41397248\"] \n  9 -> 11 [size =\"41397248\"]\n  9 -> 12 [size =\"41397248\"]\n  9 -> 16 [size =\"41397248\"]\n  9 -> 17 [size =\"41397248\"]\n  10 [size=\"58955093\", alpha=\"0.07\", expect_size=\"17686528\"] \n  10 -> 23 [size =\"17686528\"]\n  10 -> 26 [size =\"17686528\"]\n  10 -> 27 [size =\"17686528\"]\n  10 -> 28 [size =\"17686528\"]\n  11 [size=\"150476800\", alpha=\"0.02\", expect_size=\"45143040\"] \n  11 -> 28 [size =\"45143040\"]\n  12 [size=\"136277333\", alpha=\"0.10\", expect_size=\"40883200\"] \n  12 -> 22 [size =\"40883200\"]\n  12 -> 24 [size =\"40883200\"]\n  12 -> 28 [size =\"40883200\"]\n  13 [size=\"79240533\", alpha=\"0.04\", expect_size=\"23772160\"] \n  13 -> 23 [size =\"23772160\"]\n  13 -> 24 [size =\"23772160\"]\n  14 [size=\"164194987\", alpha=\"0.05\", expect_size=\"49258496\"] \n  14 -> 23 [size =\"49258496\"]\n  14 -> 24 [size =\"49258496\"]\n  15 [size=\"85589333\", alpha=\"0.10\", expect_size=\"25676800\"] \n  15 -> 21 [size =\"25676800\"]\n  15 -> 22 [size =\"25676800\"]\n  15 -> 23 [size =\"25676800\"]\n  15 -> 28 [size =\"25676800\"]\n  16 [size=\"130867200\", alpha=\"0.03\", expect_size=\"39260160\"] \n  16 -> 20 [size =\"39260160\"]\n  16 -> 23 [size =\"39260160\"]\n  16 -> 27 [size =\"39260160\"]\n  16 -> 28 [size =\"39260160\"]\n  17 [size=\"97399467\", alpha=\"0.14\", expect_size=\"29219840\"] \n  17 -> 23 [size =\"29219840\"]\n  17 -> 23 [size =\"29219840\"]\n  17 -> 24 [size =\"29219840\"]\n  17 -> 26 [size =\"29219840\"]\n  17 -> 27 [size =\"29219840\"]\n  18 [size=\"95586987\", alpha=\"0.09\", expect_size=\"28676096\"] \n  18 -> 22 [size =\"28676096\"]\n  18 -> 26 [size =\"28676096\"]\n  18 -> 28 [size =\"28676096\"]\n  19 [size=\"135809707\", alpha=\"0.15\", expect_size=\"40742912\"] \n  19 -> 25 [size =\"40742912\"]\n  19 -> 26 [size =\"40742912\"]\n  19 -> 27 [size =\"40742912\"]\n  19 -> 28 [size =\"40742912\"]\n  20 [size=\"128808960\", alpha=\"0.11\", expect_size=\"38642688\"] \n  20 -> 30 [size =\"38642688\"]\n  21 [size=\"26245120\", alpha=\"0.14\", expect_size=\"7873536\"] \n  21 -> 30 [size =\"7873536\"]\n  22 [size=\"45783040\", alpha=\"0.14\", expect_size=\"13734912\"] \n  22 -> 30 [size =\"13734912\"]\n  23 [size=\"125812053\", alpha=\"0.03\", expect_size=\"37743616\"] \n  24 [size=\"160962560\", alpha=\"0.07\", expect_size=\"48288768\"] \n  24 -> 29 [size =\"48288768\"]\n  25 [size=\"41850880\", alpha=\"0.15\", expect_size=\"12555264\"] \n  26 [size=\"124163413\", alpha=\"0.02\", expect_size=\"37249024\"] \n  26 -> 30 [size =\"37249024\"]\n  27 [size=\"151517867\", alpha=\"0.01\", expect_size=\"45455360\"] \n  28 [size=\"105775787\", alpha=\"0.00\", expect_size=\"31732736\"] \n  29 [size=\"18769920\", alpha=\"0.14\", expect_size=\"5630976\"] \n  30 [size=\"135014400\", alpha=\"0.14\", expect_size=\"40504320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38732800\", alpha=\"0.06\", expect_size=\"15493120\"] \n  1 -> 2 [size =\"15493120\"]\n  2 [size=\"39083520\", alpha=\"0.20\", expect_size=\"15633408\"] \n  2 -> 3 [size =\"15633408\"]\n  3 [size=\"65505280\", alpha=\"0.18\", expect_size=\"26202112\"] \n  3 -> 4 [size =\"26202112\"]\n  4 [size=\"65809920\", alpha=\"0.09\", expect_size=\"26323968\"] \n  4 -> 5 [size =\"26323968\"]\n  5 [size=\"71290880\", alpha=\"0.05\", expect_size=\"28516352\"] \n  5 -> 6 [size =\"28516352\"]\n  6 [size=\"72668160\", alpha=\"0.18\", expect_size=\"29067264\"] \n  6 -> 7 [size =\"29067264\"]\n  7 [size=\"51402240\", alpha=\"0.12\", expect_size=\"20560896\"] \n  7 -> 8 [size =\"20560896\"]\n  8 [size=\"87667200\", alpha=\"0.14\", expect_size=\"35066880\"] \n  8 -> 9 [size =\"35066880\"]\n  9 [size=\"122053120\", alpha=\"0.02\", expect_size=\"48821248\"] \n  9 -> 10 [size =\"48821248\"]\n  10 [size=\"24524800\", alpha=\"0.12\", expect_size=\"9809920\"] \n  10 -> 11 [size =\"9809920\"]\n  11 [size=\"17267200\", alpha=\"0.15\", expect_size=\"6906880\"] \n  11 -> 12 [size =\"6906880\"]\n  12 [size=\"53923840\", alpha=\"0.14\", expect_size=\"21569536\"] \n  12 -> 13 [size =\"21569536\"]\n  13 [size=\"51123200\", alpha=\"0.05\", expect_size=\"20449280\"] \n  13 -> 14 [size =\"20449280\"]\n  14 [size=\"40803840\", alpha=\"0.12\", expect_size=\"16321536\"] \n  14 -> 15 [size =\"16321536\"]\n  15 [size=\"91911680\", alpha=\"0.17\", expect_size=\"36764672\"] \n  15 -> 16 [size =\"36764672\"]\n  16 [size=\"122603520\", alpha=\"0.20\", expect_size=\"49041408\"] \n  16 -> 17 [size =\"49041408\"]\n  17 [size=\"107898880\", alpha=\"0.17\", expect_size=\"43159552\"] \n  17 -> 18 [size =\"43159552\"]\n  18 [size=\"60856320\", alpha=\"0.12\", expect_size=\"24342528\"] \n  18 -> 19 [size =\"24342528\"]\n  19 [size=\"24220160\", alpha=\"0.06\", expect_size=\"9688064\"] \n  19 -> 20 [size =\"9688064\"]\n  20 [size=\"37352960\", alpha=\"0.04\", expect_size=\"14941184\"] \n  20 -> 21 [size =\"14941184\"]\n  21 [size=\"105940480\", alpha=\"0.06\", expect_size=\"42376192\"] \n  21 -> 22 [size =\"42376192\"]\n  22 [size=\"78832640\", alpha=\"0.13\", expect_size=\"31533056\"] \n  22 -> 23 [size =\"31533056\"]\n  23 [size=\"41866240\", alpha=\"0.09\", expect_size=\"16746496\"] \n  23 -> 24 [size =\"16746496\"]\n  24 [size=\"70359040\", alpha=\"0.13\", expect_size=\"28143616\"] \n  24 -> 25 [size =\"28143616\"]\n  25 [size=\"24517120\", alpha=\"0.08\", expect_size=\"9806848\"] \n  25 -> 26 [size =\"9806848\"]\n  26 [size=\"122897920\", alpha=\"0.12\", expect_size=\"49159168\"] \n  26 -> 27 [size =\"49159168\"]\n  27 [size=\"121507840\", alpha=\"0.03\", expect_size=\"48603136\"] \n  27 -> 28 [size =\"48603136\"]\n  28 [size=\"101621760\", alpha=\"0.07\", expect_size=\"40648704\"] \n  28 -> 29 [size =\"40648704\"]\n  29 [size=\"53009920\", alpha=\"0.09\", expect_size=\"21203968\"] \n  29 -> 30 [size =\"21203968\"]\n  30 [size=\"89960960\", alpha=\"0.13\", expect_size=\"35984384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75540480\", alpha=\"0.17\", expect_size=\"30216192\"] \n  1 -> 11 [size =\"30216192\"]\n  1 -> 12 [size =\"30216192\"]\n  1 -> 13 [size =\"30216192\"]\n  1 -> 16 [size =\"30216192\"]\n  1 -> 17 [size =\"30216192\"]\n  2 [size=\"15600640\", alpha=\"0.20\", expect_size=\"6240256\"] \n  2 -> 11 [size =\"6240256\"]\n  2 -> 14 [size =\"6240256\"]\n  2 -> 15 [size =\"6240256\"]\n  2 -> 16 [size =\"6240256\"]\n  3 [size=\"76032000\", alpha=\"0.13\", expect_size=\"30412800\"] \n  3 -> 10 [size =\"30412800\"]\n  3 -> 11 [size =\"30412800\"]\n  3 -> 14 [size =\"30412800\"]\n  3 -> 15 [size =\"30412800\"]\n  3 -> 16 [size =\"30412800\"]\n  3 -> 17 [size =\"30412800\"]\n  4 [size=\"121978880\", alpha=\"0.07\", expect_size=\"48791552\"] \n  4 -> 10 [size =\"48791552\"]\n  4 -> 11 [size =\"48791552\"]\n  4 -> 14 [size =\"48791552\"]\n  4 -> 15 [size =\"48791552\"]\n  4 -> 17 [size =\"48791552\"]\n  5 [size=\"68462080\", alpha=\"0.01\", expect_size=\"27384832\"] \n  5 -> 10 [size =\"27384832\"]\n  5 -> 11 [size =\"27384832\"]\n  5 -> 14 [size =\"27384832\"]\n  5 -> 15 [size =\"27384832\"]\n  6 [size=\"76623360\", alpha=\"0.00\", expect_size=\"30649344\"] \n  6 -> 11 [size =\"30649344\"]\n  6 -> 12 [size =\"30649344\"]\n  6 -> 15 [size =\"30649344\"]\n  6 -> 16 [size =\"30649344\"]\n  7 [size=\"69767680\", alpha=\"0.08\", expect_size=\"27907072\"] \n  7 -> 12 [size =\"27907072\"]\n  7 -> 14 [size =\"27907072\"]\n  7 -> 16 [size =\"27907072\"]\n  8 [size=\"56053760\", alpha=\"0.11\", expect_size=\"22421504\"] \n  8 -> 11 [size =\"22421504\"]\n  8 -> 12 [size =\"22421504\"]\n  8 -> 16 [size =\"22421504\"]\n  9 [size=\"29040640\", alpha=\"0.08\", expect_size=\"11616256\"] \n  9 -> 10 [size =\"11616256\"]\n  9 -> 11 [size =\"11616256\"]\n  9 -> 12 [size =\"11616256\"]\n  9 -> 16 [size =\"11616256\"]\n  10 [size=\"79887360\", alpha=\"0.11\", expect_size=\"31954944\"] \n  10 -> 19 [size =\"31954944\"]\n  10 -> 21 [size =\"31954944\"]\n  10 -> 22 [size =\"31954944\"]\n  11 [size=\"63651840\", alpha=\"0.04\", expect_size=\"25460736\"] \n  11 -> 19 [size =\"25460736\"]\n  12 [size=\"46425600\", alpha=\"0.16\", expect_size=\"18570240\"] \n  12 -> 18 [size =\"18570240\"]\n  12 -> 21 [size =\"18570240\"]\n  12 -> 23 [size =\"18570240\"]\n  13 [size=\"43635200\", alpha=\"0.03\", expect_size=\"17454080\"] \n  13 -> 23 [size =\"17454080\"]\n  13 -> 24 [size =\"17454080\"]\n  14 [size=\"119818240\", alpha=\"0.13\", expect_size=\"47927296\"] \n  14 -> 18 [size =\"47927296\"]\n  14 -> 20 [size =\"47927296\"]\n  14 -> 21 [size =\"47927296\"]\n  14 -> 24 [size =\"47927296\"]\n  15 [size=\"41891840\", alpha=\"0.10\", expect_size=\"16756736\"] \n  15 -> 20 [size =\"16756736\"]\n  15 -> 23 [size =\"16756736\"]\n  15 -> 24 [size =\"16756736\"]\n  16 [size=\"49172480\", alpha=\"0.18\", expect_size=\"19668992\"] \n  16 -> 22 [size =\"19668992\"]\n  17 [size=\"49825280\", alpha=\"0.09\", expect_size=\"19930112\"] \n  17 -> 19 [size =\"19930112\"]\n  17 -> 22 [size =\"19930112\"]\n  17 -> 24 [size =\"19930112\"]\n  18 [size=\"98027520\", alpha=\"0.10\", expect_size=\"39211008\"] \n  18 -> 25 [size =\"39211008\"]\n  18 -> 26 [size =\"39211008\"]\n  18 -> 27 [size =\"39211008\"]\n  18 -> 28 [size =\"39211008\"]\n  18 -> 29 [size =\"39211008\"]\n  18 -> 30 [size =\"39211008\"]\n  19 [size=\"43742720\", alpha=\"0.11\", expect_size=\"17497088\"] \n  19 -> 25 [size =\"17497088\"]\n  19 -> 26 [size =\"17497088\"]\n  19 -> 27 [size =\"17497088\"]\n  19 -> 28 [size =\"17497088\"]\n  19 -> 29 [size =\"17497088\"]\n  19 -> 30 [size =\"17497088\"]\n  20 [size=\"93524480\", alpha=\"0.16\", expect_size=\"37409792\"] \n  20 -> 25 [size =\"37409792\"]\n  20 -> 26 [size =\"37409792\"]\n  20 -> 27 [size =\"37409792\"]\n  20 -> 28 [size =\"37409792\"]\n  20 -> 29 [size =\"37409792\"]\n  20 -> 30 [size =\"37409792\"]\n  21 [size=\"37516800\", alpha=\"0.11\", expect_size=\"15006720\"] \n  21 -> 25 [size =\"15006720\"]\n  21 -> 27 [size =\"15006720\"]\n  21 -> 28 [size =\"15006720\"]\n  21 -> 29 [size =\"15006720\"]\n  21 -> 30 [size =\"15006720\"]\n  21 -> 30 [size =\"15006720\"]\n  22 [size=\"59330560\", alpha=\"0.07\", expect_size=\"23732224\"] \n  22 -> 25 [size =\"23732224\"]\n  22 -> 26 [size =\"23732224\"]\n  22 -> 27 [size =\"23732224\"]\n  22 -> 28 [size =\"23732224\"]\n  22 -> 29 [size =\"23732224\"]\n  22 -> 30 [size =\"23732224\"]\n  23 [size=\"34744320\", alpha=\"0.14\", expect_size=\"13897728\"] \n  23 -> 25 [size =\"13897728\"]\n  23 -> 26 [size =\"13897728\"]\n  23 -> 27 [size =\"13897728\"]\n  23 -> 28 [size =\"13897728\"]\n  23 -> 29 [size =\"13897728\"]\n  23 -> 30 [size =\"13897728\"]\n  24 [size=\"52889600\", alpha=\"0.19\", expect_size=\"21155840\"] \n  24 -> 25 [size =\"21155840\"]\n  24 -> 27 [size =\"21155840\"]\n  24 -> 28 [size =\"21155840\"]\n  24 -> 29 [size =\"21155840\"]\n  25 [size=\"128309760\", alpha=\"0.13\", expect_size=\"51323904\"] \n  26 [size=\"66585600\", alpha=\"0.18\", expect_size=\"26634240\"] \n  27 [size=\"56704000\", alpha=\"0.13\", expect_size=\"22681600\"] \n  28 [size=\"108039680\", alpha=\"0.15\", expect_size=\"43215872\"] \n  29 [size=\"50311680\", alpha=\"0.19\", expect_size=\"20124672\"] \n  30 [size=\"115957760\", alpha=\"0.15\", expect_size=\"46383104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66404352\", alpha=\"0.18\", expect_size=\"33202176\"] \n  1 -> 2 [size =\"33202176\"]\n  1 -> 3 [size =\"33202176\"]\n  2 [size=\"83255296\", alpha=\"0.07\", expect_size=\"41627648\"] \n  3 [size=\"58310656\", alpha=\"0.07\", expect_size=\"29155328\"] \n  3 -> 4 [size =\"29155328\"]\n  3 -> 5 [size =\"29155328\"]\n  4 [size=\"28176384\", alpha=\"0.10\", expect_size=\"14088192\"] \n  5 [size=\"77582336\", alpha=\"0.10\", expect_size=\"38791168\"] \n  5 -> 6 [size =\"38791168\"]\n  6 [size=\"68165632\", alpha=\"0.01\", expect_size=\"34082816\"] \n  6 -> 7 [size =\"34082816\"]\n  6 -> 8 [size =\"34082816\"]\n  7 [size=\"78979072\", alpha=\"0.04\", expect_size=\"39489536\"] \n  7 -> 9 [size =\"39489536\"]\n  8 [size=\"84291584\", alpha=\"0.13\", expect_size=\"42145792\"] \n  9 [size=\"40034304\", alpha=\"0.09\", expect_size=\"20017152\"] \n  9 -> 10 [size =\"20017152\"]\n  9 -> 11 [size =\"20017152\"]\n  10 [size=\"71911424\", alpha=\"0.18\", expect_size=\"35955712\"] \n  11 [size=\"59486208\", alpha=\"0.10\", expect_size=\"29743104\"] \n  11 -> 12 [size =\"29743104\"]\n  12 [size=\"49408000\", alpha=\"0.18\", expect_size=\"24704000\"] \n  12 -> 13 [size =\"24704000\"]\n  12 -> 14 [size =\"24704000\"]\n  13 [size=\"80656384\", alpha=\"0.06\", expect_size=\"40328192\"] \n  13 -> 15 [size =\"40328192\"]\n  14 [size=\"17428480\", alpha=\"0.10\", expect_size=\"8714240\"] \n  15 [size=\"62672896\", alpha=\"0.07\", expect_size=\"31336448\"] \n  15 -> 16 [size =\"31336448\"]\n  16 [size=\"13975552\", alpha=\"0.07\", expect_size=\"6987776\"] \n  16 -> 17 [size =\"6987776\"]\n  16 -> 18 [size =\"6987776\"]\n  17 [size=\"19859456\", alpha=\"0.01\", expect_size=\"9929728\"] \n  17 -> 19 [size =\"9929728\"]\n  18 [size=\"39757824\", alpha=\"0.09\", expect_size=\"19878912\"] \n  19 [size=\"102305792\", alpha=\"0.06\", expect_size=\"51152896\"] \n  19 -> 20 [size =\"51152896\"]\n  19 -> 21 [size =\"51152896\"]\n  20 [size=\"48109568\", alpha=\"0.01\", expect_size=\"24054784\"] \n  21 [size=\"36710400\", alpha=\"0.08\", expect_size=\"18355200\"] \n  21 -> 22 [size =\"18355200\"]\n  22 [size=\"83873792\", alpha=\"0.10\", expect_size=\"41936896\"] \n  22 -> 23 [size =\"41936896\"]\n  22 -> 24 [size =\"41936896\"]\n  23 [size=\"72144896\", alpha=\"0.02\", expect_size=\"36072448\"] \n  23 -> 25 [size =\"36072448\"]\n  24 [size=\"102019072\", alpha=\"0.18\", expect_size=\"51009536\"] \n  25 [size=\"53219328\", alpha=\"0.08\", expect_size=\"26609664\"] \n  25 -> 26 [size =\"26609664\"]\n  25 -> 27 [size =\"26609664\"]\n  26 [size=\"87232512\", alpha=\"0.11\", expect_size=\"43616256\"] \n  26 -> 28 [size =\"43616256\"]\n  27 [size=\"25188352\", alpha=\"0.08\", expect_size=\"12594176\"] \n  28 [size=\"29566976\", alpha=\"0.00\", expect_size=\"14783488\"] \n  28 -> 29 [size =\"14783488\"]\n  28 -> 30 [size =\"14783488\"]\n  29 [size=\"71186432\", alpha=\"0.19\", expect_size=\"35593216\"] \n  30 [size=\"100464640\", alpha=\"0.11\", expect_size=\"50232320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69632000\", alpha=\"0.13\", expect_size=\"20889600\"] \n  1 -> 4 [size =\"20889600\"]\n  1 -> 5 [size =\"20889600\"]\n  1 -> 6 [size =\"20889600\"]\n  2 [size=\"102417067\", alpha=\"0.08\", expect_size=\"30725120\"] \n  2 -> 4 [size =\"30725120\"]\n  2 -> 6 [size =\"30725120\"]\n  2 -> 7 [size =\"30725120\"]\n  2 -> 8 [size =\"30725120\"]\n  3 [size=\"21749760\", alpha=\"0.10\", expect_size=\"6524928\"] \n  3 -> 5 [size =\"6524928\"]\n  3 -> 8 [size =\"6524928\"]\n  4 [size=\"28033707\", alpha=\"0.19\", expect_size=\"8410112\"] \n  4 -> 11 [size =\"8410112\"]\n  4 -> 12 [size =\"8410112\"]\n  5 [size=\"46882133\", alpha=\"0.07\", expect_size=\"14064640\"] \n  5 -> 9 [size =\"14064640\"]\n  6 [size=\"74308267\", alpha=\"0.10\", expect_size=\"22292480\"] \n  6 -> 9 [size =\"22292480\"]\n  6 -> 10 [size =\"22292480\"]\n  7 [size=\"172042240\", alpha=\"0.03\", expect_size=\"51612672\"] \n  7 -> 13 [size =\"51612672\"]\n  8 [size=\"170154667\", alpha=\"0.16\", expect_size=\"51046400\"] \n  9 [size=\"36939093\", alpha=\"0.08\", expect_size=\"11081728\"] \n  9 -> 16 [size =\"11081728\"]\n  9 -> 18 [size =\"11081728\"]\n  10 [size=\"125538987\", alpha=\"0.02\", expect_size=\"37661696\"] \n  10 -> 14 [size =\"37661696\"]\n  10 -> 17 [size =\"37661696\"]\n  11 [size=\"93815467\", alpha=\"0.09\", expect_size=\"28144640\"] \n  11 -> 14 [size =\"28144640\"]\n  11 -> 15 [size =\"28144640\"]\n  12 [size=\"40147627\", alpha=\"0.09\", expect_size=\"12044288\"] \n  12 -> 15 [size =\"12044288\"]\n  12 -> 16 [size =\"12044288\"]\n  12 -> 17 [size =\"12044288\"]\n  13 [size=\"102304427\", alpha=\"0.06\", expect_size=\"30691328\"] \n  13 -> 16 [size =\"30691328\"]\n  14 [size=\"26709333\", alpha=\"0.02\", expect_size=\"8012800\"] \n  14 -> 19 [size =\"8012800\"]\n  14 -> 20 [size =\"8012800\"]\n  14 -> 22 [size =\"8012800\"]\n  15 [size=\"174687573\", alpha=\"0.00\", expect_size=\"52406272\"] \n  15 -> 21 [size =\"52406272\"]\n  15 -> 22 [size =\"52406272\"]\n  15 -> 23 [size =\"52406272\"]\n  16 [size=\"69454507\", alpha=\"0.08\", expect_size=\"20836352\"] \n  17 [size=\"146100907\", alpha=\"0.13\", expect_size=\"43830272\"] \n  17 -> 20 [size =\"43830272\"]\n  17 -> 21 [size =\"43830272\"]\n  18 [size=\"170591573\", alpha=\"0.01\", expect_size=\"51177472\"] \n  18 -> 24 [size =\"51177472\"]\n  19 [size=\"138315093\", alpha=\"0.03\", expect_size=\"41494528\"] \n  19 -> 26 [size =\"41494528\"]\n  19 -> 29 [size =\"41494528\"]\n  20 [size=\"46462293\", alpha=\"0.02\", expect_size=\"13938688\"] \n  20 -> 26 [size =\"13938688\"]\n  20 -> 29 [size =\"13938688\"]\n  21 [size=\"62556160\", alpha=\"0.09\", expect_size=\"18766848\"] \n  21 -> 25 [size =\"18766848\"]\n  21 -> 27 [size =\"18766848\"]\n  21 -> 29 [size =\"18766848\"]\n  22 [size=\"129955840\", alpha=\"0.06\", expect_size=\"38986752\"] \n  22 -> 25 [size =\"38986752\"]\n  22 -> 26 [size =\"38986752\"]\n  22 -> 27 [size =\"38986752\"]\n  22 -> 28 [size =\"38986752\"]\n  23 [size=\"42185387\", alpha=\"0.04\", expect_size=\"12655616\"] \n  24 [size=\"87292587\", alpha=\"0.03\", expect_size=\"26187776\"] \n  24 -> 25 [size =\"26187776\"]\n  25 [size=\"106762240\", alpha=\"0.06\", expect_size=\"32028672\"] \n  26 [size=\"109595307\", alpha=\"0.16\", expect_size=\"32878592\"] \n  27 [size=\"17937067\", alpha=\"0.06\", expect_size=\"5381120\"] \n  27 -> 30 [size =\"5381120\"]\n  28 [size=\"120162987\", alpha=\"0.15\", expect_size=\"36048896\"] \n  29 [size=\"124098560\", alpha=\"0.06\", expect_size=\"37229568\"] \n  30 [size=\"144599040\", alpha=\"0.12\", expect_size=\"43379712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51934720\", alpha=\"0.14\", expect_size=\"20773888\"] \n  2 [size=\"38581760\", alpha=\"0.10\", expect_size=\"15432704\"] \n  2 -> 3 [size =\"15432704\"]\n  3 [size=\"50767360\", alpha=\"0.08\", expect_size=\"20306944\"] \n  3 -> 4 [size =\"20306944\"]\n  3 -> 5 [size =\"20306944\"]\n  4 [size=\"49968640\", alpha=\"0.06\", expect_size=\"19987456\"] \n  4 -> 6 [size =\"19987456\"]\n  4 -> 7 [size =\"19987456\"]\n  5 [size=\"57318400\", alpha=\"0.13\", expect_size=\"22927360\"] \n  5 -> 6 [size =\"22927360\"]\n  5 -> 7 [size =\"22927360\"]\n  6 [size=\"35056640\", alpha=\"0.08\", expect_size=\"14022656\"] \n  6 -> 8 [size =\"14022656\"]\n  6 -> 9 [size =\"14022656\"]\n  7 [size=\"98762240\", alpha=\"0.02\", expect_size=\"39504896\"] \n  7 -> 8 [size =\"39504896\"]\n  7 -> 9 [size =\"39504896\"]\n  8 [size=\"19148800\", alpha=\"0.13\", expect_size=\"7659520\"] \n  8 -> 10 [size =\"7659520\"]\n  8 -> 11 [size =\"7659520\"]\n  9 [size=\"19816960\", alpha=\"0.06\", expect_size=\"7926784\"] \n  9 -> 10 [size =\"7926784\"]\n  9 -> 11 [size =\"7926784\"]\n  10 [size=\"13570560\", alpha=\"0.10\", expect_size=\"5428224\"] \n  10 -> 12 [size =\"5428224\"]\n  11 [size=\"118402560\", alpha=\"0.03\", expect_size=\"47361024\"] \n  11 -> 12 [size =\"47361024\"]\n  12 [size=\"85619200\", alpha=\"0.09\", expect_size=\"34247680\"] \n  12 -> 13 [size =\"34247680\"]\n  12 -> 14 [size =\"34247680\"]\n  13 [size=\"26088960\", alpha=\"0.04\", expect_size=\"10435584\"] \n  14 [size=\"73866240\", alpha=\"0.04\", expect_size=\"29546496\"] \n  14 -> 15 [size =\"29546496\"]\n  15 [size=\"108072960\", alpha=\"0.02\", expect_size=\"43229184\"] \n  15 -> 16 [size =\"43229184\"]\n  16 [size=\"65029120\", alpha=\"0.12\", expect_size=\"26011648\"] \n  16 -> 17 [size =\"26011648\"]\n  16 -> 18 [size =\"26011648\"]\n  17 [size=\"111994880\", alpha=\"0.07\", expect_size=\"44797952\"] \n  17 -> 19 [size =\"44797952\"]\n  18 [size=\"123389440\", alpha=\"0.10\", expect_size=\"49355776\"] \n  19 [size=\"83829760\", alpha=\"0.07\", expect_size=\"33531904\"] \n  19 -> 20 [size =\"33531904\"]\n  19 -> 21 [size =\"33531904\"]\n  20 [size=\"118138880\", alpha=\"0.17\", expect_size=\"47255552\"] \n  20 -> 22 [size =\"47255552\"]\n  20 -> 23 [size =\"47255552\"]\n  21 [size=\"57041920\", alpha=\"0.14\", expect_size=\"22816768\"] \n  21 -> 22 [size =\"22816768\"]\n  21 -> 23 [size =\"22816768\"]\n  22 [size=\"76231680\", alpha=\"0.16\", expect_size=\"30492672\"] \n  22 -> 25 [size =\"30492672\"]\n  23 [size=\"129100800\", alpha=\"0.04\", expect_size=\"51640320\"] \n  23 -> 24 [size =\"51640320\"]\n  23 -> 25 [size =\"51640320\"]\n  24 [size=\"37358080\", alpha=\"0.18\", expect_size=\"14943232\"] \n  24 -> 26 [size =\"14943232\"]\n  24 -> 27 [size =\"14943232\"]\n  25 [size=\"63183360\", alpha=\"0.19\", expect_size=\"25273344\"] \n  25 -> 26 [size =\"25273344\"]\n  25 -> 27 [size =\"25273344\"]\n  26 [size=\"72424960\", alpha=\"0.05\", expect_size=\"28969984\"] \n  27 [size=\"22694400\", alpha=\"0.05\", expect_size=\"9077760\"] \n  27 -> 28 [size =\"9077760\"]\n  28 [size=\"66803200\", alpha=\"0.05\", expect_size=\"26721280\"] \n  28 -> 29 [size =\"26721280\"]\n  28 -> 30 [size =\"26721280\"]\n  29 [size=\"123578880\", alpha=\"0.07\", expect_size=\"49431552\"] \n  30 [size=\"45235200\", alpha=\"0.09\", expect_size=\"18094080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48081920\", alpha=\"0.20\", expect_size=\"19232768\"] \n  1 -> 8 [size =\"19232768\"]\n  1 -> 10 [size =\"19232768\"]\n  2 [size=\"83463680\", alpha=\"0.01\", expect_size=\"33385472\"] \n  2 -> 7 [size =\"33385472\"]\n  2 -> 8 [size =\"33385472\"]\n  3 [size=\"41525760\", alpha=\"0.12\", expect_size=\"16610304\"] \n  3 -> 8 [size =\"16610304\"]\n  3 -> 9 [size =\"16610304\"]\n  4 [size=\"21084160\", alpha=\"0.15\", expect_size=\"8433664\"] \n  4 -> 6 [size =\"8433664\"]\n  4 -> 7 [size =\"8433664\"]\n  5 [size=\"74434560\", alpha=\"0.07\", expect_size=\"29773824\"] \n  5 -> 6 [size =\"29773824\"]\n  6 [size=\"37824000\", alpha=\"0.16\", expect_size=\"15129600\"] \n  6 -> 11 [size =\"15129600\"]\n  6 -> 12 [size =\"15129600\"]\n  6 -> 15 [size =\"15129600\"]\n  7 [size=\"102100480\", alpha=\"0.05\", expect_size=\"40840192\"] \n  7 -> 11 [size =\"40840192\"]\n  7 -> 12 [size =\"40840192\"]\n  7 -> 15 [size =\"40840192\"]\n  8 [size=\"37560320\", alpha=\"0.13\", expect_size=\"15024128\"] \n  8 -> 14 [size =\"15024128\"]\n  8 -> 15 [size =\"15024128\"]\n  9 [size=\"106457600\", alpha=\"0.11\", expect_size=\"42583040\"] \n  9 -> 12 [size =\"42583040\"]\n  9 -> 13 [size =\"42583040\"]\n  10 [size=\"22256640\", alpha=\"0.01\", expect_size=\"8902656\"] \n  10 -> 11 [size =\"8902656\"]\n  10 -> 13 [size =\"8902656\"]\n  11 [size=\"84049920\", alpha=\"0.20\", expect_size=\"33619968\"] \n  11 -> 16 [size =\"33619968\"]\n  11 -> 18 [size =\"33619968\"]\n  11 -> 19 [size =\"33619968\"]\n  12 [size=\"82721280\", alpha=\"0.17\", expect_size=\"33088512\"] \n  12 -> 18 [size =\"33088512\"]\n  13 [size=\"89658880\", alpha=\"0.15\", expect_size=\"35863552\"] \n  14 [size=\"42864640\", alpha=\"0.04\", expect_size=\"17145856\"] \n  14 -> 16 [size =\"17145856\"]\n  14 -> 17 [size =\"17145856\"]\n  15 [size=\"128803840\", alpha=\"0.02\", expect_size=\"51521536\"] \n  15 -> 16 [size =\"51521536\"]\n  16 [size=\"50946560\", alpha=\"0.07\", expect_size=\"20378624\"] \n  16 -> 23 [size =\"20378624\"]\n  17 [size=\"27015680\", alpha=\"0.14\", expect_size=\"10806272\"] \n  17 -> 23 [size =\"10806272\"]\n  17 -> 24 [size =\"10806272\"]\n  18 [size=\"53675520\", alpha=\"0.03\", expect_size=\"21470208\"] \n  18 -> 20 [size =\"21470208\"]\n  18 -> 21 [size =\"21470208\"]\n  18 -> 24 [size =\"21470208\"]\n  19 [size=\"128450560\", alpha=\"0.05\", expect_size=\"51380224\"] \n  19 -> 20 [size =\"51380224\"]\n  19 -> 21 [size =\"51380224\"]\n  19 -> 22 [size =\"51380224\"]\n  19 -> 24 [size =\"51380224\"]\n  20 [size=\"76065280\", alpha=\"0.00\", expect_size=\"30426112\"] \n  21 [size=\"81280000\", alpha=\"0.02\", expect_size=\"32512000\"] \n  21 -> 25 [size =\"32512000\"]\n  21 -> 26 [size =\"32512000\"]\n  21 -> 28 [size =\"32512000\"]\n  22 [size=\"79897600\", alpha=\"0.15\", expect_size=\"31959040\"] \n  22 -> 25 [size =\"31959040\"]\n  22 -> 28 [size =\"31959040\"]\n  23 [size=\"59532800\", alpha=\"0.13\", expect_size=\"23813120\"] \n  23 -> 25 [size =\"23813120\"]\n  23 -> 26 [size =\"23813120\"]\n  24 [size=\"32314880\", alpha=\"0.12\", expect_size=\"12925952\"] \n  24 -> 26 [size =\"12925952\"]\n  24 -> 27 [size =\"12925952\"]\n  25 [size=\"55966720\", alpha=\"0.02\", expect_size=\"22386688\"] \n  25 -> 29 [size =\"22386688\"]\n  25 -> 30 [size =\"22386688\"]\n  26 [size=\"65902080\", alpha=\"0.15\", expect_size=\"26360832\"] \n  26 -> 29 [size =\"26360832\"]\n  27 [size=\"106255360\", alpha=\"0.04\", expect_size=\"42502144\"] \n  28 [size=\"69798400\", alpha=\"0.17\", expect_size=\"27919360\"] \n  29 [size=\"86044160\", alpha=\"0.06\", expect_size=\"34417664\"] \n  30 [size=\"116894720\", alpha=\"0.17\", expect_size=\"46757888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97525760\", alpha=\"0.02\", expect_size=\"48762880\"] \n  1 -> 2 [size =\"48762880\"]\n  1 -> 3 [size =\"48762880\"]\n  2 [size=\"89108480\", alpha=\"0.09\", expect_size=\"44554240\"] \n  2 -> 5 [size =\"44554240\"]\n  3 [size=\"67336192\", alpha=\"0.05\", expect_size=\"33668096\"] \n  3 -> 4 [size =\"33668096\"]\n  4 [size=\"29126656\", alpha=\"0.02\", expect_size=\"14563328\"] \n  5 [size=\"45733888\", alpha=\"0.17\", expect_size=\"22866944\"] \n  5 -> 6 [size =\"22866944\"]\n  5 -> 7 [size =\"22866944\"]\n  6 [size=\"73744384\", alpha=\"0.07\", expect_size=\"36872192\"] \n  6 -> 8 [size =\"36872192\"]\n  7 [size=\"66353152\", alpha=\"0.06\", expect_size=\"33176576\"] \n  7 -> 9 [size =\"33176576\"]\n  8 [size=\"41838592\", alpha=\"0.17\", expect_size=\"20919296\"] \n  9 [size=\"103319552\", alpha=\"0.10\", expect_size=\"51659776\"] \n  9 -> 10 [size =\"51659776\"]\n  9 -> 11 [size =\"51659776\"]\n  10 [size=\"89513984\", alpha=\"0.09\", expect_size=\"44756992\"] \n  10 -> 12 [size =\"44756992\"]\n  11 [size=\"43608064\", alpha=\"0.18\", expect_size=\"21804032\"] \n  11 -> 13 [size =\"21804032\"]\n  12 [size=\"53471232\", alpha=\"0.18\", expect_size=\"26735616\"] \n  13 [size=\"94652416\", alpha=\"0.18\", expect_size=\"47326208\"] \n  13 -> 14 [size =\"47326208\"]\n  13 -> 15 [size =\"47326208\"]\n  14 [size=\"23154688\", alpha=\"0.03\", expect_size=\"11577344\"] \n  14 -> 17 [size =\"11577344\"]\n  15 [size=\"32671744\", alpha=\"0.14\", expect_size=\"16335872\"] \n  15 -> 16 [size =\"16335872\"]\n  16 [size=\"18253824\", alpha=\"0.15\", expect_size=\"9126912\"] \n  16 -> 18 [size =\"9126912\"]\n  16 -> 19 [size =\"9126912\"]\n  17 [size=\"53313536\", alpha=\"0.07\", expect_size=\"26656768\"] \n  18 [size=\"81430528\", alpha=\"0.16\", expect_size=\"40715264\"] \n  18 -> 20 [size =\"40715264\"]\n  19 [size=\"67174400\", alpha=\"0.17\", expect_size=\"33587200\"] \n  19 -> 21 [size =\"33587200\"]\n  20 [size=\"20658176\", alpha=\"0.15\", expect_size=\"10329088\"] \n  20 -> 22 [size =\"10329088\"]\n  20 -> 23 [size =\"10329088\"]\n  21 [size=\"60919808\", alpha=\"0.11\", expect_size=\"30459904\"] \n  22 [size=\"49577984\", alpha=\"0.04\", expect_size=\"24788992\"] \n  22 -> 24 [size =\"24788992\"]\n  22 -> 25 [size =\"24788992\"]\n  23 [size=\"40183808\", alpha=\"0.09\", expect_size=\"20091904\"] \n  24 [size=\"29917184\", alpha=\"0.18\", expect_size=\"14958592\"] \n  24 -> 27 [size =\"14958592\"]\n  25 [size=\"43921408\", alpha=\"0.14\", expect_size=\"21960704\"] \n  25 -> 26 [size =\"21960704\"]\n  26 [size=\"16480256\", alpha=\"0.04\", expect_size=\"8240128\"] \n  26 -> 29 [size =\"8240128\"]\n  27 [size=\"89174016\", alpha=\"0.06\", expect_size=\"44587008\"] \n  27 -> 28 [size =\"44587008\"]\n  28 [size=\"26277888\", alpha=\"0.14\", expect_size=\"13138944\"] \n  28 -> 30 [size =\"13138944\"]\n  29 [size=\"99772416\", alpha=\"0.02\", expect_size=\"49886208\"] \n  30 [size=\"84084736\", alpha=\"0.07\", expect_size=\"42042368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32312320\", alpha=\"0.03\", expect_size=\"12924928\"] \n  1 -> 5 [size =\"12924928\"]\n  1 -> 7 [size =\"12924928\"]\n  1 -> 8 [size =\"12924928\"]\n  2 [size=\"129041920\", alpha=\"0.19\", expect_size=\"51616768\"] \n  2 -> 5 [size =\"51616768\"]\n  2 -> 7 [size =\"51616768\"]\n  3 [size=\"119713280\", alpha=\"0.16\", expect_size=\"47885312\"] \n  4 [size=\"129052160\", alpha=\"0.13\", expect_size=\"51620864\"] \n  4 -> 6 [size =\"51620864\"]\n  5 [size=\"32785920\", alpha=\"0.00\", expect_size=\"13114368\"] \n  6 [size=\"99811840\", alpha=\"0.03\", expect_size=\"39924736\"] \n  6 -> 11 [size =\"39924736\"]\n  6 -> 12 [size =\"39924736\"]\n  7 [size=\"34273280\", alpha=\"0.02\", expect_size=\"13709312\"] \n  7 -> 9 [size =\"13709312\"]\n  7 -> 10 [size =\"13709312\"]\n  7 -> 12 [size =\"13709312\"]\n  8 [size=\"35801600\", alpha=\"0.02\", expect_size=\"14320640\"] \n  8 -> 9 [size =\"14320640\"]\n  8 -> 10 [size =\"14320640\"]\n  8 -> 11 [size =\"14320640\"]\n  8 -> 12 [size =\"14320640\"]\n  9 [size=\"74483200\", alpha=\"0.03\", expect_size=\"29793280\"] \n  10 [size=\"118415360\", alpha=\"0.13\", expect_size=\"47366144\"] \n  10 -> 13 [size =\"47366144\"]\n  10 -> 14 [size =\"47366144\"]\n  10 -> 16 [size =\"47366144\"]\n  11 [size=\"115466240\", alpha=\"0.19\", expect_size=\"46186496\"] \n  11 -> 16 [size =\"46186496\"]\n  12 [size=\"13140480\", alpha=\"0.12\", expect_size=\"5256192\"] \n  12 -> 15 [size =\"5256192\"]\n  12 -> 16 [size =\"5256192\"]\n  13 [size=\"124759040\", alpha=\"0.01\", expect_size=\"49903616\"] \n  13 -> 19 [size =\"49903616\"]\n  14 [size=\"100244480\", alpha=\"0.11\", expect_size=\"40097792\"] \n  14 -> 17 [size =\"40097792\"]\n  15 [size=\"60761600\", alpha=\"0.12\", expect_size=\"24304640\"] \n  15 -> 17 [size =\"24304640\"]\n  15 -> 18 [size =\"24304640\"]\n  15 -> 20 [size =\"24304640\"]\n  16 [size=\"62981120\", alpha=\"0.06\", expect_size=\"25192448\"] \n  17 [size=\"82982400\", alpha=\"0.06\", expect_size=\"33192960\"] \n  17 -> 24 [size =\"33192960\"]\n  18 [size=\"91847680\", alpha=\"0.18\", expect_size=\"36739072\"] \n  18 -> 22 [size =\"36739072\"]\n  18 -> 23 [size =\"36739072\"]\n  18 -> 24 [size =\"36739072\"]\n  19 [size=\"102740480\", alpha=\"0.13\", expect_size=\"41096192\"] \n  19 -> 22 [size =\"41096192\"]\n  20 [size=\"121438720\", alpha=\"0.15\", expect_size=\"48575488\"] \n  20 -> 21 [size =\"48575488\"]\n  20 -> 22 [size =\"48575488\"]\n  20 -> 23 [size =\"48575488\"]\n  21 [size=\"77283840\", alpha=\"0.20\", expect_size=\"30913536\"] \n  21 -> 25 [size =\"30913536\"]\n  21 -> 27 [size =\"30913536\"]\n  22 [size=\"71636480\", alpha=\"0.04\", expect_size=\"28654592\"] \n  22 -> 28 [size =\"28654592\"]\n  23 [size=\"26199040\", alpha=\"0.07\", expect_size=\"10479616\"] \n  23 -> 26 [size =\"10479616\"]\n  23 -> 27 [size =\"10479616\"]\n  23 -> 28 [size =\"10479616\"]\n  24 [size=\"32668160\", alpha=\"0.10\", expect_size=\"13067264\"] \n  24 -> 26 [size =\"13067264\"]\n  25 [size=\"98012160\", alpha=\"0.15\", expect_size=\"39204864\"] \n  25 -> 29 [size =\"39204864\"]\n  25 -> 30 [size =\"39204864\"]\n  26 [size=\"51750400\", alpha=\"0.16\", expect_size=\"20700160\"] \n  27 [size=\"89428480\", alpha=\"0.20\", expect_size=\"35771392\"] \n  27 -> 29 [size =\"35771392\"]\n  28 [size=\"127431680\", alpha=\"0.08\", expect_size=\"50972672\"] \n  28 -> 29 [size =\"50972672\"]\n  28 -> 30 [size =\"50972672\"]\n  29 [size=\"117199360\", alpha=\"0.06\", expect_size=\"46879744\"] \n  30 [size=\"74114560\", alpha=\"0.02\", expect_size=\"29645824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55371093\", alpha=\"0.04\", expect_size=\"16611328\"] \n  1 -> 10 [size =\"16611328\"]\n  1 -> 11 [size =\"16611328\"]\n  2 [size=\"106424320\", alpha=\"0.10\", expect_size=\"31927296\"] \n  2 -> 10 [size =\"31927296\"]\n  2 -> 12 [size =\"31927296\"]\n  3 [size=\"41390080\", alpha=\"0.19\", expect_size=\"12417024\"] \n  3 -> 12 [size =\"12417024\"]\n  4 [size=\"25395200\", alpha=\"0.17\", expect_size=\"7618560\"] \n  4 -> 12 [size =\"7618560\"]\n  5 [size=\"42028373\", alpha=\"0.08\", expect_size=\"12608512\"] \n  5 -> 10 [size =\"12608512\"]\n  5 -> 12 [size =\"12608512\"]\n  5 -> 13 [size =\"12608512\"]\n  6 [size=\"173161813\", alpha=\"0.03\", expect_size=\"51948544\"] \n  6 -> 10 [size =\"51948544\"]\n  6 -> 12 [size =\"51948544\"]\n  7 [size=\"84387840\", alpha=\"0.03\", expect_size=\"25316352\"] \n  7 -> 8 [size =\"25316352\"]\n  7 -> 9 [size =\"25316352\"]\n  7 -> 10 [size =\"25316352\"]\n  8 [size=\"37826560\", alpha=\"0.08\", expect_size=\"11347968\"] \n  8 -> 16 [size =\"11347968\"]\n  8 -> 18 [size =\"11347968\"]\n  8 -> 20 [size =\"11347968\"]\n  9 [size=\"58637653\", alpha=\"0.07\", expect_size=\"17591296\"] \n  9 -> 15 [size =\"17591296\"]\n  9 -> 18 [size =\"17591296\"]\n  10 [size=\"95481173\", alpha=\"0.11\", expect_size=\"28644352\"] \n  10 -> 19 [size =\"28644352\"]\n  11 [size=\"49360213\", alpha=\"0.18\", expect_size=\"14808064\"] \n  11 -> 14 [size =\"14808064\"]\n  11 -> 15 [size =\"14808064\"]\n  11 -> 16 [size =\"14808064\"]\n  12 [size=\"79206400\", alpha=\"0.13\", expect_size=\"23761920\"] \n  12 -> 14 [size =\"23761920\"]\n  12 -> 16 [size =\"23761920\"]\n  12 -> 20 [size =\"23761920\"]\n  13 [size=\"157300053\", alpha=\"0.09\", expect_size=\"47190016\"] \n  13 -> 14 [size =\"47190016\"]\n  13 -> 16 [size =\"47190016\"]\n  13 -> 17 [size =\"47190016\"]\n  13 -> 20 [size =\"47190016\"]\n  14 [size=\"151988907\", alpha=\"0.17\", expect_size=\"45596672\"] \n  14 -> 23 [size =\"45596672\"]\n  14 -> 27 [size =\"45596672\"]\n  14 -> 30 [size =\"45596672\"]\n  15 [size=\"130048000\", alpha=\"0.17\", expect_size=\"39014400\"] \n  15 -> 22 [size =\"39014400\"]\n  15 -> 25 [size =\"39014400\"]\n  15 -> 26 [size =\"39014400\"]\n  15 -> 29 [size =\"39014400\"]\n  15 -> 30 [size =\"39014400\"]\n  16 [size=\"33658880\", alpha=\"0.13\", expect_size=\"10097664\"] \n  16 -> 22 [size =\"10097664\"]\n  16 -> 26 [size =\"10097664\"]\n  16 -> 27 [size =\"10097664\"]\n  16 -> 28 [size =\"10097664\"]\n  17 [size=\"59531947\", alpha=\"0.03\", expect_size=\"17859584\"] \n  17 -> 25 [size =\"17859584\"]\n  17 -> 27 [size =\"17859584\"]\n  18 [size=\"86821547\", alpha=\"0.15\", expect_size=\"26046464\"] \n  18 -> 21 [size =\"26046464\"]\n  18 -> 22 [size =\"26046464\"]\n  18 -> 23 [size =\"26046464\"]\n  18 -> 24 [size =\"26046464\"]\n  18 -> 26 [size =\"26046464\"]\n  18 -> 27 [size =\"26046464\"]\n  19 [size=\"149292373\", alpha=\"0.12\", expect_size=\"44787712\"] \n  19 -> 23 [size =\"44787712\"]\n  19 -> 24 [size =\"44787712\"]\n  19 -> 26 [size =\"44787712\"]\n  20 [size=\"43496107\", alpha=\"0.11\", expect_size=\"13048832\"] \n  20 -> 21 [size =\"13048832\"]\n  20 -> 23 [size =\"13048832\"]\n  20 -> 25 [size =\"13048832\"]\n  20 -> 27 [size =\"13048832\"]\n  20 -> 28 [size =\"13048832\"]\n  21 [size=\"132198400\", alpha=\"0.16\", expect_size=\"39659520\"] \n  22 [size=\"112626347\", alpha=\"0.11\", expect_size=\"33787904\"] \n  23 [size=\"57671680\", alpha=\"0.10\", expect_size=\"17301504\"] \n  24 [size=\"129819307\", alpha=\"0.10\", expect_size=\"38945792\"] \n  25 [size=\"105816747\", alpha=\"0.13\", expect_size=\"31745024\"] \n  26 [size=\"83933867\", alpha=\"0.15\", expect_size=\"25180160\"] \n  27 [size=\"32781653\", alpha=\"0.06\", expect_size=\"9834496\"] \n  28 [size=\"57118720\", alpha=\"0.00\", expect_size=\"17135616\"] \n  29 [size=\"18862080\", alpha=\"0.19\", expect_size=\"5658624\"] \n  30 [size=\"110144853\", alpha=\"0.08\", expect_size=\"33043456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48912384\", alpha=\"0.18\", expect_size=\"24456192\"] \n  1 -> 8 [size =\"24456192\"]\n  1 -> 12 [size =\"24456192\"]\n  2 [size=\"72808448\", alpha=\"0.03\", expect_size=\"36404224\"] \n  2 -> 9 [size =\"36404224\"]\n  2 -> 11 [size =\"36404224\"]\n  3 [size=\"82444288\", alpha=\"0.07\", expect_size=\"41222144\"] \n  3 -> 7 [size =\"41222144\"]\n  3 -> 9 [size =\"41222144\"]\n  3 -> 10 [size =\"41222144\"]\n  4 [size=\"83372032\", alpha=\"0.11\", expect_size=\"41686016\"] \n  4 -> 12 [size =\"41686016\"]\n  5 [size=\"35493888\", alpha=\"0.19\", expect_size=\"17746944\"] \n  5 -> 8 [size =\"17746944\"]\n  6 [size=\"35303424\", alpha=\"0.04\", expect_size=\"17651712\"] \n  6 -> 8 [size =\"17651712\"]\n  6 -> 9 [size =\"17651712\"]\n  6 -> 10 [size =\"17651712\"]\n  6 -> 12 [size =\"17651712\"]\n  7 [size=\"21913600\", alpha=\"0.00\", expect_size=\"10956800\"] \n  7 -> 13 [size =\"10956800\"]\n  7 -> 14 [size =\"10956800\"]\n  7 -> 16 [size =\"10956800\"]\n  8 [size=\"36409344\", alpha=\"0.09\", expect_size=\"18204672\"] \n  8 -> 18 [size =\"18204672\"]\n  9 [size=\"61794304\", alpha=\"0.08\", expect_size=\"30897152\"] \n  10 [size=\"46622720\", alpha=\"0.00\", expect_size=\"23311360\"] \n  10 -> 13 [size =\"23311360\"]\n  10 -> 14 [size =\"23311360\"]\n  10 -> 17 [size =\"23311360\"]\n  10 -> 18 [size =\"23311360\"]\n  11 [size=\"70227968\", alpha=\"0.13\", expect_size=\"35113984\"] \n  11 -> 13 [size =\"35113984\"]\n  11 -> 16 [size =\"35113984\"]\n  12 [size=\"59125760\", alpha=\"0.17\", expect_size=\"29562880\"] \n  12 -> 14 [size =\"29562880\"]\n  12 -> 15 [size =\"29562880\"]\n  12 -> 16 [size =\"29562880\"]\n  13 [size=\"71168000\", alpha=\"0.20\", expect_size=\"35584000\"] \n  13 -> 20 [size =\"35584000\"]\n  14 [size=\"11413504\", alpha=\"0.20\", expect_size=\"5706752\"] \n  14 -> 19 [size =\"5706752\"]\n  14 -> 20 [size =\"5706752\"]\n  15 [size=\"61992960\", alpha=\"0.06\", expect_size=\"30996480\"] \n  16 [size=\"57407488\", alpha=\"0.12\", expect_size=\"28703744\"] \n  16 -> 20 [size =\"28703744\"]\n  16 -> 21 [size =\"28703744\"]\n  17 [size=\"77559808\", alpha=\"0.04\", expect_size=\"38779904\"] \n  17 -> 19 [size =\"38779904\"]\n  17 -> 22 [size =\"38779904\"]\n  18 [size=\"78612480\", alpha=\"0.03\", expect_size=\"39306240\"] \n  19 [size=\"25636864\", alpha=\"0.00\", expect_size=\"12818432\"] \n  19 -> 23 [size =\"12818432\"]\n  19 -> 24 [size =\"12818432\"]\n  19 -> 27 [size =\"12818432\"]\n  20 [size=\"64948224\", alpha=\"0.05\", expect_size=\"32474112\"] \n  20 -> 25 [size =\"32474112\"]\n  21 [size=\"67049472\", alpha=\"0.17\", expect_size=\"33524736\"] \n  21 -> 25 [size =\"33524736\"]\n  21 -> 26 [size =\"33524736\"]\n  22 [size=\"36265984\", alpha=\"0.03\", expect_size=\"18132992\"] \n  23 [size=\"21149696\", alpha=\"0.04\", expect_size=\"10574848\"] \n  23 -> 28 [size =\"10574848\"]\n  23 -> 29 [size =\"10574848\"]\n  24 [size=\"19986432\", alpha=\"0.01\", expect_size=\"9993216\"] \n  24 -> 28 [size =\"9993216\"]\n  25 [size=\"19949568\", alpha=\"0.02\", expect_size=\"9974784\"] \n  25 -> 28 [size =\"9974784\"]\n  25 -> 30 [size =\"9974784\"]\n  26 [size=\"48656384\", alpha=\"0.09\", expect_size=\"24328192\"] \n  27 [size=\"13213696\", alpha=\"0.19\", expect_size=\"6606848\"] \n  28 [size=\"32026624\", alpha=\"0.14\", expect_size=\"16013312\"] \n  29 [size=\"44322816\", alpha=\"0.20\", expect_size=\"22161408\"] \n  30 [size=\"45170688\", alpha=\"0.13\", expect_size=\"22585344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69584896\", alpha=\"0.17\", expect_size=\"34792448\"] \n  1 -> 3 [size =\"34792448\"]\n  2 [size=\"31619072\", alpha=\"0.12\", expect_size=\"15809536\"] \n  2 -> 3 [size =\"15809536\"]\n  3 [size=\"13479936\", alpha=\"0.03\", expect_size=\"6739968\"] \n  3 -> 4 [size =\"6739968\"]\n  3 -> 5 [size =\"6739968\"]\n  4 [size=\"68466688\", alpha=\"0.15\", expect_size=\"34233344\"] \n  4 -> 6 [size =\"34233344\"]\n  4 -> 7 [size =\"34233344\"]\n  5 [size=\"36818944\", alpha=\"0.14\", expect_size=\"18409472\"] \n  5 -> 6 [size =\"18409472\"]\n  5 -> 7 [size =\"18409472\"]\n  6 [size=\"35264512\", alpha=\"0.18\", expect_size=\"17632256\"] \n  6 -> 8 [size =\"17632256\"]\n  6 -> 9 [size =\"17632256\"]\n  7 [size=\"94670848\", alpha=\"0.18\", expect_size=\"47335424\"] \n  7 -> 8 [size =\"47335424\"]\n  7 -> 9 [size =\"47335424\"]\n  8 [size=\"78628864\", alpha=\"0.07\", expect_size=\"39314432\"] \n  8 -> 10 [size =\"39314432\"]\n  9 [size=\"84795392\", alpha=\"0.04\", expect_size=\"42397696\"] \n  9 -> 10 [size =\"42397696\"]\n  10 [size=\"102891520\", alpha=\"0.15\", expect_size=\"51445760\"] \n  10 -> 11 [size =\"51445760\"]\n  10 -> 12 [size =\"51445760\"]\n  11 [size=\"70000640\", alpha=\"0.07\", expect_size=\"35000320\"] \n  11 -> 13 [size =\"35000320\"]\n  12 [size=\"57851904\", alpha=\"0.06\", expect_size=\"28925952\"] \n  12 -> 13 [size =\"28925952\"]\n  13 [size=\"18194432\", alpha=\"0.14\", expect_size=\"9097216\"] \n  13 -> 14 [size =\"9097216\"]\n  13 -> 15 [size =\"9097216\"]\n  14 [size=\"33724416\", alpha=\"0.06\", expect_size=\"16862208\"] \n  14 -> 16 [size =\"16862208\"]\n  14 -> 17 [size =\"16862208\"]\n  15 [size=\"12374016\", alpha=\"0.03\", expect_size=\"6187008\"] \n  15 -> 16 [size =\"6187008\"]\n  15 -> 17 [size =\"6187008\"]\n  16 [size=\"80046080\", alpha=\"0.19\", expect_size=\"40023040\"] \n  16 -> 18 [size =\"40023040\"]\n  17 [size=\"71290880\", alpha=\"0.01\", expect_size=\"35645440\"] \n  17 -> 18 [size =\"35645440\"]\n  18 [size=\"61714432\", alpha=\"0.06\", expect_size=\"30857216\"] \n  18 -> 19 [size =\"30857216\"]\n  19 [size=\"94488576\", alpha=\"0.16\", expect_size=\"47244288\"] \n  19 -> 20 [size =\"47244288\"]\n  20 [size=\"18425856\", alpha=\"0.04\", expect_size=\"9212928\"] \n  20 -> 21 [size =\"9212928\"]\n  21 [size=\"89626624\", alpha=\"0.04\", expect_size=\"44813312\"] \n  21 -> 22 [size =\"44813312\"]\n  21 -> 23 [size =\"44813312\"]\n  22 [size=\"27871232\", alpha=\"0.08\", expect_size=\"13935616\"] \n  23 [size=\"55748608\", alpha=\"0.13\", expect_size=\"27874304\"] \n  23 -> 24 [size =\"27874304\"]\n  24 [size=\"29218816\", alpha=\"0.11\", expect_size=\"14609408\"] \n  24 -> 25 [size =\"14609408\"]\n  24 -> 26 [size =\"14609408\"]\n  25 [size=\"55326720\", alpha=\"0.14\", expect_size=\"27663360\"] \n  26 [size=\"68253696\", alpha=\"0.02\", expect_size=\"34126848\"] \n  26 -> 27 [size =\"34126848\"]\n  26 -> 28 [size =\"34126848\"]\n  27 [size=\"65372160\", alpha=\"0.08\", expect_size=\"32686080\"] \n  27 -> 30 [size =\"32686080\"]\n  28 [size=\"69308416\", alpha=\"0.09\", expect_size=\"34654208\"] \n  28 -> 29 [size =\"34654208\"]\n  29 [size=\"97339392\", alpha=\"0.05\", expect_size=\"48669696\"] \n  30 [size=\"78635008\", alpha=\"0.01\", expect_size=\"39317504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41908224\", alpha=\"0.10\", expect_size=\"20954112\"] \n  2 [size=\"29870080\", alpha=\"0.17\", expect_size=\"14935040\"] \n  2 -> 7 [size =\"14935040\"]\n  3 [size=\"44144640\", alpha=\"0.02\", expect_size=\"22072320\"] \n  3 -> 6 [size =\"22072320\"]\n  3 -> 7 [size =\"22072320\"]\n  3 -> 8 [size =\"22072320\"]\n  3 -> 9 [size =\"22072320\"]\n  4 [size=\"80355328\", alpha=\"0.11\", expect_size=\"40177664\"] \n  4 -> 5 [size =\"40177664\"]\n  5 [size=\"53358592\", alpha=\"0.10\", expect_size=\"26679296\"] \n  5 -> 12 [size =\"26679296\"]\n  5 -> 13 [size =\"26679296\"]\n  6 [size=\"23158784\", alpha=\"0.11\", expect_size=\"11579392\"] \n  6 -> 10 [size =\"11579392\"]\n  6 -> 13 [size =\"11579392\"]\n  7 [size=\"57245696\", alpha=\"0.11\", expect_size=\"28622848\"] \n  7 -> 14 [size =\"28622848\"]\n  8 [size=\"86460416\", alpha=\"0.10\", expect_size=\"43230208\"] \n  8 -> 11 [size =\"43230208\"]\n  8 -> 13 [size =\"43230208\"]\n  9 [size=\"28133376\", alpha=\"0.01\", expect_size=\"14066688\"] \n  9 -> 10 [size =\"14066688\"]\n  10 [size=\"39874560\", alpha=\"0.14\", expect_size=\"19937280\"] \n  10 -> 15 [size =\"19937280\"]\n  10 -> 16 [size =\"19937280\"]\n  11 [size=\"73134080\", alpha=\"0.16\", expect_size=\"36567040\"] \n  11 -> 15 [size =\"36567040\"]\n  11 -> 17 [size =\"36567040\"]\n  12 [size=\"26003456\", alpha=\"0.12\", expect_size=\"13001728\"] \n  13 [size=\"13705216\", alpha=\"0.09\", expect_size=\"6852608\"] \n  14 [size=\"24406016\", alpha=\"0.00\", expect_size=\"12203008\"] \n  15 [size=\"75483136\", alpha=\"0.05\", expect_size=\"37741568\"] \n  15 -> 18 [size =\"37741568\"]\n  15 -> 21 [size =\"37741568\"]\n  16 [size=\"26814464\", alpha=\"0.09\", expect_size=\"13407232\"] \n  16 -> 18 [size =\"13407232\"]\n  16 -> 20 [size =\"13407232\"]\n  16 -> 22 [size =\"13407232\"]\n  16 -> 23 [size =\"13407232\"]\n  17 [size=\"78254080\", alpha=\"0.17\", expect_size=\"39127040\"] \n  17 -> 19 [size =\"39127040\"]\n  17 -> 22 [size =\"39127040\"]\n  17 -> 23 [size =\"39127040\"]\n  18 [size=\"37079040\", alpha=\"0.11\", expect_size=\"18539520\"] \n  19 [size=\"85815296\", alpha=\"0.17\", expect_size=\"42907648\"] \n  19 -> 25 [size =\"42907648\"]\n  19 -> 28 [size =\"42907648\"]\n  20 [size=\"92243968\", alpha=\"0.01\", expect_size=\"46121984\"] \n  20 -> 24 [size =\"46121984\"]\n  20 -> 26 [size =\"46121984\"]\n  20 -> 27 [size =\"46121984\"]\n  21 [size=\"64286720\", alpha=\"0.11\", expect_size=\"32143360\"] \n  21 -> 24 [size =\"32143360\"]\n  21 -> 27 [size =\"32143360\"]\n  22 [size=\"46428160\", alpha=\"0.05\", expect_size=\"23214080\"] \n  22 -> 24 [size =\"23214080\"]\n  22 -> 26 [size =\"23214080\"]\n  22 -> 27 [size =\"23214080\"]\n  22 -> 28 [size =\"23214080\"]\n  23 [size=\"102025216\", alpha=\"0.07\", expect_size=\"51012608\"] \n  23 -> 28 [size =\"51012608\"]\n  24 [size=\"47867904\", alpha=\"0.03\", expect_size=\"23933952\"] \n  24 -> 29 [size =\"23933952\"]\n  25 [size=\"50094080\", alpha=\"0.08\", expect_size=\"25047040\"] \n  26 [size=\"75534336\", alpha=\"0.16\", expect_size=\"37767168\"] \n  27 [size=\"25856000\", alpha=\"0.14\", expect_size=\"12928000\"] \n  27 -> 29 [size =\"12928000\"]\n  27 -> 30 [size =\"12928000\"]\n  28 [size=\"104247296\", alpha=\"0.08\", expect_size=\"52123648\"] \n  28 -> 29 [size =\"52123648\"]\n  29 [size=\"60129280\", alpha=\"0.06\", expect_size=\"30064640\"] \n  30 [size=\"47454208\", alpha=\"0.10\", expect_size=\"23727104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38750720\", alpha=\"0.14\", expect_size=\"15500288\"] \n  1 -> 3 [size =\"15500288\"]\n  1 -> 4 [size =\"15500288\"]\n  1 -> 6 [size =\"15500288\"]\n  1 -> 8 [size =\"15500288\"]\n  1 -> 9 [size =\"15500288\"]\n  2 [size=\"84070400\", alpha=\"0.19\", expect_size=\"33628160\"] \n  2 -> 3 [size =\"33628160\"]\n  2 -> 4 [size =\"33628160\"]\n  2 -> 5 [size =\"33628160\"]\n  2 -> 7 [size =\"33628160\"]\n  2 -> 8 [size =\"33628160\"]\n  2 -> 9 [size =\"33628160\"]\n  3 [size=\"50813440\", alpha=\"0.12\", expect_size=\"20325376\"] \n  3 -> 12 [size =\"20325376\"]\n  4 [size=\"27906560\", alpha=\"0.06\", expect_size=\"11162624\"] \n  4 -> 11 [size =\"11162624\"]\n  5 [size=\"118131200\", alpha=\"0.11\", expect_size=\"47252480\"] \n  5 -> 10 [size =\"47252480\"]\n  6 [size=\"65704960\", alpha=\"0.09\", expect_size=\"26281984\"] \n  6 -> 12 [size =\"26281984\"]\n  7 [size=\"104693760\", alpha=\"0.10\", expect_size=\"41877504\"] \n  7 -> 10 [size =\"41877504\"]\n  7 -> 12 [size =\"41877504\"]\n  8 [size=\"110950400\", alpha=\"0.12\", expect_size=\"44380160\"] \n  8 -> 10 [size =\"44380160\"]\n  9 [size=\"105950720\", alpha=\"0.07\", expect_size=\"42380288\"] \n  9 -> 10 [size =\"42380288\"]\n  9 -> 11 [size =\"42380288\"]\n  10 [size=\"130867200\", alpha=\"0.08\", expect_size=\"52346880\"] \n  10 -> 13 [size =\"52346880\"]\n  10 -> 15 [size =\"52346880\"]\n  10 -> 17 [size =\"52346880\"]\n  11 [size=\"121802240\", alpha=\"0.12\", expect_size=\"48720896\"] \n  11 -> 16 [size =\"48720896\"]\n  11 -> 18 [size =\"48720896\"]\n  12 [size=\"89297920\", alpha=\"0.05\", expect_size=\"35719168\"] \n  12 -> 14 [size =\"35719168\"]\n  12 -> 16 [size =\"35719168\"]\n  13 [size=\"84608000\", alpha=\"0.06\", expect_size=\"33843200\"] \n  13 -> 21 [size =\"33843200\"]\n  14 [size=\"37841920\", alpha=\"0.14\", expect_size=\"15136768\"] \n  14 -> 19 [size =\"15136768\"]\n  15 [size=\"70612480\", alpha=\"0.16\", expect_size=\"28244992\"] \n  15 -> 19 [size =\"28244992\"]\n  15 -> 20 [size =\"28244992\"]\n  16 [size=\"16299520\", alpha=\"0.06\", expect_size=\"6519808\"] \n  16 -> 21 [size =\"6519808\"]\n  17 [size=\"69793280\", alpha=\"0.05\", expect_size=\"27917312\"] \n  17 -> 21 [size =\"27917312\"]\n  18 [size=\"127490560\", alpha=\"0.10\", expect_size=\"50996224\"] \n  18 -> 21 [size =\"50996224\"]\n  19 [size=\"78796800\", alpha=\"0.18\", expect_size=\"31518720\"] \n  19 -> 22 [size =\"31518720\"]\n  19 -> 23 [size =\"31518720\"]\n  19 -> 24 [size =\"31518720\"]\n  19 -> 25 [size =\"31518720\"]\n  19 -> 26 [size =\"31518720\"]\n  20 [size=\"120220160\", alpha=\"0.18\", expect_size=\"48088064\"] \n  20 -> 26 [size =\"48088064\"]\n  21 [size=\"52352000\", alpha=\"0.02\", expect_size=\"20940800\"] \n  21 -> 23 [size =\"20940800\"]\n  21 -> 24 [size =\"20940800\"]\n  22 [size=\"122357760\", alpha=\"0.18\", expect_size=\"48943104\"] \n  22 -> 27 [size =\"48943104\"]\n  23 [size=\"35578880\", alpha=\"0.20\", expect_size=\"14231552\"] \n  23 -> 27 [size =\"14231552\"]\n  24 [size=\"70415360\", alpha=\"0.05\", expect_size=\"28166144\"] \n  24 -> 27 [size =\"28166144\"]\n  24 -> 28 [size =\"28166144\"]\n  25 [size=\"37509120\", alpha=\"0.07\", expect_size=\"15003648\"] \n  26 [size=\"15278080\", alpha=\"0.19\", expect_size=\"6111232\"] \n  27 [size=\"52226560\", alpha=\"0.06\", expect_size=\"20890624\"] \n  27 -> 29 [size =\"20890624\"]\n  28 [size=\"83476480\", alpha=\"0.10\", expect_size=\"33390592\"] \n  28 -> 30 [size =\"33390592\"]\n  29 [size=\"25666560\", alpha=\"0.09\", expect_size=\"10266624\"] \n  30 [size=\"15211520\", alpha=\"0.09\", expect_size=\"6084608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97658880\", alpha=\"0.17\", expect_size=\"29297664\"] \n  1 -> 6 [size =\"29297664\"]\n  1 -> 10 [size =\"29297664\"]\n  2 [size=\"55183360\", alpha=\"0.19\", expect_size=\"16555008\"] \n  2 -> 6 [size =\"16555008\"]\n  2 -> 8 [size =\"16555008\"]\n  3 [size=\"105543680\", alpha=\"0.19\", expect_size=\"31663104\"] \n  3 -> 7 [size =\"31663104\"]\n  3 -> 8 [size =\"31663104\"]\n  4 [size=\"168895147\", alpha=\"0.16\", expect_size=\"50668544\"] \n  4 -> 9 [size =\"50668544\"]\n  5 [size=\"32778240\", alpha=\"0.04\", expect_size=\"9833472\"] \n  5 -> 6 [size =\"9833472\"]\n  6 [size=\"165468160\", alpha=\"0.19\", expect_size=\"49640448\"] \n  6 -> 11 [size =\"49640448\"]\n  6 -> 13 [size =\"49640448\"]\n  7 [size=\"81605973\", alpha=\"0.07\", expect_size=\"24481792\"] \n  8 [size=\"122815147\", alpha=\"0.09\", expect_size=\"36844544\"] \n  8 -> 11 [size =\"36844544\"]\n  8 -> 12 [size =\"36844544\"]\n  9 [size=\"93682347\", alpha=\"0.15\", expect_size=\"28104704\"] \n  9 -> 12 [size =\"28104704\"]\n  9 -> 13 [size =\"28104704\"]\n  9 -> 14 [size =\"28104704\"]\n  10 [size=\"157218133\", alpha=\"0.05\", expect_size=\"47165440\"] \n  10 -> 13 [size =\"47165440\"]\n  11 [size=\"46376960\", alpha=\"0.01\", expect_size=\"13913088\"] \n  11 -> 16 [size =\"13913088\"]\n  12 [size=\"20841813\", alpha=\"0.10\", expect_size=\"6252544\"] \n  12 -> 15 [size =\"6252544\"]\n  12 -> 17 [size =\"6252544\"]\n  13 [size=\"173834240\", alpha=\"0.06\", expect_size=\"52150272\"] \n  13 -> 17 [size =\"52150272\"]\n  13 -> 18 [size =\"52150272\"]\n  14 [size=\"165809493\", alpha=\"0.09\", expect_size=\"49742848\"] \n  15 [size=\"135973547\", alpha=\"0.09\", expect_size=\"40792064\"] \n  15 -> 19 [size =\"40792064\"]\n  15 -> 20 [size =\"40792064\"]\n  15 -> 21 [size =\"40792064\"]\n  16 [size=\"166836907\", alpha=\"0.03\", expect_size=\"50051072\"] \n  16 -> 20 [size =\"50051072\"]\n  17 [size=\"160058027\", alpha=\"0.06\", expect_size=\"48017408\"] \n  17 -> 19 [size =\"48017408\"]\n  17 -> 21 [size =\"48017408\"]\n  18 [size=\"55784107\", alpha=\"0.05\", expect_size=\"16735232\"] \n  18 -> 20 [size =\"16735232\"]\n  18 -> 21 [size =\"16735232\"]\n  18 -> 22 [size =\"16735232\"]\n  18 -> 23 [size =\"16735232\"]\n  19 [size=\"129576960\", alpha=\"0.19\", expect_size=\"38873088\"] \n  19 -> 24 [size =\"38873088\"]\n  20 [size=\"86784000\", alpha=\"0.05\", expect_size=\"26035200\"] \n  20 -> 26 [size =\"26035200\"]\n  20 -> 27 [size =\"26035200\"]\n  21 [size=\"124931413\", alpha=\"0.01\", expect_size=\"37479424\"] \n  21 -> 28 [size =\"37479424\"]\n  22 [size=\"135342080\", alpha=\"0.02\", expect_size=\"40602624\"] \n  22 -> 26 [size =\"40602624\"]\n  22 -> 27 [size =\"40602624\"]\n  23 [size=\"54456320\", alpha=\"0.15\", expect_size=\"16336896\"] \n  23 -> 24 [size =\"16336896\"]\n  23 -> 25 [size =\"16336896\"]\n  23 -> 26 [size =\"16336896\"]\n  23 -> 27 [size =\"16336896\"]\n  23 -> 28 [size =\"16336896\"]\n  24 [size=\"98727253\", alpha=\"0.06\", expect_size=\"29618176\"] \n  24 -> 29 [size =\"29618176\"]\n  24 -> 30 [size =\"29618176\"]\n  25 [size=\"165857280\", alpha=\"0.19\", expect_size=\"49757184\"] \n  26 [size=\"79564800\", alpha=\"0.11\", expect_size=\"23869440\"] \n  27 [size=\"99546453\", alpha=\"0.12\", expect_size=\"29863936\"] \n  27 -> 29 [size =\"29863936\"]\n  28 [size=\"148026027\", alpha=\"0.05\", expect_size=\"44407808\"] \n  28 -> 29 [size =\"44407808\"]\n  29 [size=\"29754027\", alpha=\"0.09\", expect_size=\"8926208\"] \n  30 [size=\"24838827\", alpha=\"0.10\", expect_size=\"7451648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79831040\", alpha=\"0.05\", expect_size=\"39915520\"] \n  1 -> 23 [size =\"39915520\"]\n  1 -> 26 [size =\"39915520\"]\n  1 -> 28 [size =\"39915520\"]\n  2 [size=\"23480320\", alpha=\"0.09\", expect_size=\"11740160\"] \n  2 -> 23 [size =\"11740160\"]\n  2 -> 24 [size =\"11740160\"]\n  2 -> 28 [size =\"11740160\"]\n  2 -> 29 [size =\"11740160\"]\n  3 [size=\"52822016\", alpha=\"0.01\", expect_size=\"26411008\"] \n  3 -> 23 [size =\"26411008\"]\n  3 -> 26 [size =\"26411008\"]\n  3 -> 28 [size =\"26411008\"]\n  3 -> 29 [size =\"26411008\"]\n  3 -> 30 [size =\"26411008\"]\n  4 [size=\"43583488\", alpha=\"0.03\", expect_size=\"21791744\"] \n  4 -> 23 [size =\"21791744\"]\n  4 -> 24 [size =\"21791744\"]\n  4 -> 27 [size =\"21791744\"]\n  4 -> 29 [size =\"21791744\"]\n  4 -> 30 [size =\"21791744\"]\n  5 [size=\"42932224\", alpha=\"0.19\", expect_size=\"21466112\"] \n  5 -> 28 [size =\"21466112\"]\n  6 [size=\"93921280\", alpha=\"0.11\", expect_size=\"46960640\"] \n  6 -> 23 [size =\"46960640\"]\n  7 [size=\"63410176\", alpha=\"0.06\", expect_size=\"31705088\"] \n  8 [size=\"26267648\", alpha=\"0.09\", expect_size=\"13133824\"] \n  8 -> 26 [size =\"13133824\"]\n  8 -> 28 [size =\"13133824\"]\n  9 [size=\"27721728\", alpha=\"0.04\", expect_size=\"13860864\"] \n  9 -> 23 [size =\"13860864\"]\n  10 [size=\"61325312\", alpha=\"0.01\", expect_size=\"30662656\"] \n  10 -> 23 [size =\"30662656\"]\n  10 -> 26 [size =\"30662656\"]\n  10 -> 27 [size =\"30662656\"]\n  11 [size=\"20086784\", alpha=\"0.16\", expect_size=\"10043392\"] \n  11 -> 23 [size =\"10043392\"]\n  12 [size=\"44675072\", alpha=\"0.06\", expect_size=\"22337536\"] \n  12 -> 24 [size =\"22337536\"]\n  13 [size=\"85370880\", alpha=\"0.03\", expect_size=\"42685440\"] \n  13 -> 24 [size =\"42685440\"]\n  13 -> 25 [size =\"42685440\"]\n  13 -> 26 [size =\"42685440\"]\n  13 -> 28 [size =\"42685440\"]\n  14 [size=\"92030976\", alpha=\"0.07\", expect_size=\"46015488\"] \n  14 -> 24 [size =\"46015488\"]\n  14 -> 26 [size =\"46015488\"]\n  14 -> 26 [size =\"46015488\"]\n  14 -> 28 [size =\"46015488\"]\n  15 [size=\"11315200\", alpha=\"0.17\", expect_size=\"5657600\"] \n  15 -> 24 [size =\"5657600\"]\n  15 -> 26 [size =\"5657600\"]\n  15 -> 27 [size =\"5657600\"]\n  16 [size=\"100710400\", alpha=\"0.04\", expect_size=\"50355200\"] \n  16 -> 23 [size =\"50355200\"]\n  16 -> 24 [size =\"50355200\"]\n  16 -> 27 [size =\"50355200\"]\n  17 [size=\"56467456\", alpha=\"0.13\", expect_size=\"28233728\"] \n  17 -> 24 [size =\"28233728\"]\n  18 [size=\"84008960\", alpha=\"0.12\", expect_size=\"42004480\"] \n  18 -> 23 [size =\"42004480\"]\n  18 -> 24 [size =\"42004480\"]\n  18 -> 28 [size =\"42004480\"]\n  19 [size=\"34134016\", alpha=\"0.04\", expect_size=\"17067008\"] \n  19 -> 26 [size =\"17067008\"]\n  20 [size=\"52283392\", alpha=\"0.06\", expect_size=\"26141696\"] \n  20 -> 23 [size =\"26141696\"]\n  20 -> 27 [size =\"26141696\"]\n  21 [size=\"58867712\", alpha=\"0.02\", expect_size=\"29433856\"] \n  21 -> 23 [size =\"29433856\"]\n  21 -> 26 [size =\"29433856\"]\n  22 [size=\"38338560\", alpha=\"0.01\", expect_size=\"19169280\"] \n  22 -> 23 [size =\"19169280\"]\n  22 -> 24 [size =\"19169280\"]\n  22 -> 26 [size =\"19169280\"]\n  22 -> 30 [size =\"19169280\"]\n  23 [size=\"67960832\", alpha=\"0.09\", expect_size=\"33980416\"] \n  24 [size=\"82622464\", alpha=\"0.03\", expect_size=\"41311232\"] \n  25 [size=\"23080960\", alpha=\"0.05\", expect_size=\"11540480\"] \n  26 [size=\"101111808\", alpha=\"0.05\", expect_size=\"50555904\"] \n  27 [size=\"23439360\", alpha=\"0.15\", expect_size=\"11719680\"] \n  28 [size=\"84185088\", alpha=\"0.09\", expect_size=\"42092544\"] \n  29 [size=\"48578560\", alpha=\"0.07\", expect_size=\"24289280\"] \n  30 [size=\"68210688\", alpha=\"0.15\", expect_size=\"34105344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24455680\", alpha=\"0.10\", expect_size=\"9782272\"] \n  1 -> 3 [size =\"9782272\"]\n  2 [size=\"102051840\", alpha=\"0.15\", expect_size=\"40820736\"] \n  2 -> 4 [size =\"40820736\"]\n  2 -> 5 [size =\"40820736\"]\n  3 [size=\"90670080\", alpha=\"0.07\", expect_size=\"36268032\"] \n  3 -> 6 [size =\"36268032\"]\n  3 -> 7 [size =\"36268032\"]\n  3 -> 9 [size =\"36268032\"]\n  4 [size=\"109642240\", alpha=\"0.14\", expect_size=\"43856896\"] \n  4 -> 8 [size =\"43856896\"]\n  5 [size=\"61642240\", alpha=\"0.06\", expect_size=\"24656896\"] \n  5 -> 7 [size =\"24656896\"]\n  5 -> 8 [size =\"24656896\"]\n  5 -> 9 [size =\"24656896\"]\n  6 [size=\"52574720\", alpha=\"0.08\", expect_size=\"21029888\"] \n  6 -> 10 [size =\"21029888\"]\n  7 [size=\"54561280\", alpha=\"0.04\", expect_size=\"21824512\"] \n  7 -> 11 [size =\"21824512\"]\n  8 [size=\"111756800\", alpha=\"0.14\", expect_size=\"44702720\"] \n  9 [size=\"114959360\", alpha=\"0.01\", expect_size=\"45983744\"] \n  9 -> 10 [size =\"45983744\"]\n  10 [size=\"119549440\", alpha=\"0.20\", expect_size=\"47819776\"] \n  10 -> 12 [size =\"47819776\"]\n  10 -> 13 [size =\"47819776\"]\n  10 -> 14 [size =\"47819776\"]\n  10 -> 15 [size =\"47819776\"]\n  10 -> 16 [size =\"47819776\"]\n  10 -> 17 [size =\"47819776\"]\n  10 -> 18 [size =\"47819776\"]\n  11 [size=\"61877760\", alpha=\"0.09\", expect_size=\"24751104\"] \n  11 -> 12 [size =\"24751104\"]\n  11 -> 13 [size =\"24751104\"]\n  11 -> 14 [size =\"24751104\"]\n  11 -> 15 [size =\"24751104\"]\n  11 -> 17 [size =\"24751104\"]\n  11 -> 18 [size =\"24751104\"]\n  12 [size=\"120821760\", alpha=\"0.13\", expect_size=\"48328704\"] \n  12 -> 21 [size =\"48328704\"]\n  12 -> 22 [size =\"48328704\"]\n  13 [size=\"93304320\", alpha=\"0.19\", expect_size=\"37321728\"] \n  13 -> 20 [size =\"37321728\"]\n  13 -> 21 [size =\"37321728\"]\n  14 [size=\"17597440\", alpha=\"0.12\", expect_size=\"7038976\"] \n  14 -> 21 [size =\"7038976\"]\n  14 -> 22 [size =\"7038976\"]\n  14 -> 24 [size =\"7038976\"]\n  14 -> 25 [size =\"7038976\"]\n  15 [size=\"98429440\", alpha=\"0.05\", expect_size=\"39371776\"] \n  15 -> 22 [size =\"39371776\"]\n  16 [size=\"14845440\", alpha=\"0.14\", expect_size=\"5938176\"] \n  16 -> 23 [size =\"5938176\"]\n  16 -> 25 [size =\"5938176\"]\n  17 [size=\"62141440\", alpha=\"0.06\", expect_size=\"24856576\"] \n  17 -> 24 [size =\"24856576\"]\n  18 [size=\"87001600\", alpha=\"0.17\", expect_size=\"34800640\"] \n  18 -> 19 [size =\"34800640\"]\n  18 -> 20 [size =\"34800640\"]\n  18 -> 21 [size =\"34800640\"]\n  18 -> 25 [size =\"34800640\"]\n  19 [size=\"49425920\", alpha=\"0.10\", expect_size=\"19770368\"] \n  20 [size=\"54474240\", alpha=\"0.02\", expect_size=\"21789696\"] \n  20 -> 26 [size =\"21789696\"]\n  20 -> 29 [size =\"21789696\"]\n  20 -> 30 [size =\"21789696\"]\n  21 [size=\"53998080\", alpha=\"0.16\", expect_size=\"21599232\"] \n  21 -> 30 [size =\"21599232\"]\n  22 [size=\"104394240\", alpha=\"0.05\", expect_size=\"41757696\"] \n  22 -> 27 [size =\"41757696\"]\n  23 [size=\"65077760\", alpha=\"0.07\", expect_size=\"26031104\"] \n  23 -> 30 [size =\"26031104\"]\n  24 [size=\"58158080\", alpha=\"0.06\", expect_size=\"23263232\"] \n  24 -> 28 [size =\"23263232\"]\n  24 -> 29 [size =\"23263232\"]\n  25 [size=\"130145280\", alpha=\"0.13\", expect_size=\"52058112\"] \n  25 -> 29 [size =\"52058112\"]\n  25 -> 30 [size =\"52058112\"]\n  26 [size=\"44485120\", alpha=\"0.06\", expect_size=\"17794048\"] \n  27 [size=\"125296640\", alpha=\"0.07\", expect_size=\"50118656\"] \n  28 [size=\"40097280\", alpha=\"0.04\", expect_size=\"16038912\"] \n  29 [size=\"20700160\", alpha=\"0.19\", expect_size=\"8280064\"] \n  30 [size=\"79477760\", alpha=\"0.11\", expect_size=\"31791104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91555840\", alpha=\"0.16\", expect_size=\"27466752\"] \n  2 [size=\"80380587\", alpha=\"0.04\", expect_size=\"24114176\"] \n  2 -> 23 [size =\"24114176\"]\n  2 -> 30 [size =\"24114176\"]\n  3 [size=\"25050453\", alpha=\"0.16\", expect_size=\"7515136\"] \n  3 -> 24 [size =\"7515136\"]\n  3 -> 26 [size =\"7515136\"]\n  4 [size=\"107168427\", alpha=\"0.15\", expect_size=\"32150528\"] \n  5 [size=\"59306667\", alpha=\"0.04\", expect_size=\"17792000\"] \n  5 -> 23 [size =\"17792000\"]\n  6 [size=\"128682667\", alpha=\"0.05\", expect_size=\"38604800\"] \n  6 -> 23 [size =\"38604800\"]\n  6 -> 24 [size =\"38604800\"]\n  6 -> 29 [size =\"38604800\"]\n  6 -> 30 [size =\"38604800\"]\n  7 [size=\"146394453\", alpha=\"0.05\", expect_size=\"43918336\"] \n  7 -> 23 [size =\"43918336\"]\n  7 -> 29 [size =\"43918336\"]\n  8 [size=\"43724800\", alpha=\"0.07\", expect_size=\"13117440\"] \n  8 -> 24 [size =\"13117440\"]\n  8 -> 30 [size =\"13117440\"]\n  9 [size=\"100567040\", alpha=\"0.11\", expect_size=\"30170112\"] \n  9 -> 24 [size =\"30170112\"]\n  9 -> 27 [size =\"30170112\"]\n  10 [size=\"128310613\", alpha=\"0.06\", expect_size=\"38493184\"] \n  10 -> 24 [size =\"38493184\"]\n  11 [size=\"118074027\", alpha=\"0.10\", expect_size=\"35422208\"] \n  11 -> 23 [size =\"35422208\"]\n  11 -> 26 [size =\"35422208\"]\n  11 -> 28 [size =\"35422208\"]\n  12 [size=\"88852480\", alpha=\"0.14\", expect_size=\"26655744\"] \n  12 -> 23 [size =\"26655744\"]\n  13 [size=\"119070720\", alpha=\"0.08\", expect_size=\"35721216\"] \n  13 -> 24 [size =\"35721216\"]\n  14 [size=\"84490240\", alpha=\"0.10\", expect_size=\"25347072\"] \n  14 -> 23 [size =\"25347072\"]\n  14 -> 24 [size =\"25347072\"]\n  14 -> 25 [size =\"25347072\"]\n  15 [size=\"48302080\", alpha=\"0.15\", expect_size=\"14490624\"] \n  15 -> 24 [size =\"14490624\"]\n  15 -> 24 [size =\"14490624\"]\n  16 [size=\"78574933\", alpha=\"0.07\", expect_size=\"23572480\"] \n  17 [size=\"117664427\", alpha=\"0.15\", expect_size=\"35299328\"] \n  17 -> 30 [size =\"35299328\"]\n  18 [size=\"158027093\", alpha=\"0.13\", expect_size=\"47408128\"] \n  19 [size=\"52657493\", alpha=\"0.05\", expect_size=\"15797248\"] \n  19 -> 24 [size =\"15797248\"]\n  19 -> 27 [size =\"15797248\"]\n  20 [size=\"138489173\", alpha=\"0.14\", expect_size=\"41546752\"] \n  20 -> 24 [size =\"41546752\"]\n  21 [size=\"27562667\", alpha=\"0.13\", expect_size=\"8268800\"] \n  21 -> 24 [size =\"8268800\"]\n  22 [size=\"103065600\", alpha=\"0.19\", expect_size=\"30919680\"] \n  22 -> 24 [size =\"30919680\"]\n  22 -> 27 [size =\"30919680\"]\n  22 -> 28 [size =\"30919680\"]\n  23 [size=\"59101867\", alpha=\"0.06\", expect_size=\"17730560\"] \n  24 [size=\"121726293\", alpha=\"0.05\", expect_size=\"36517888\"] \n  25 [size=\"39587840\", alpha=\"0.08\", expect_size=\"11876352\"] \n  26 [size=\"160283307\", alpha=\"0.07\", expect_size=\"48084992\"] \n  27 [size=\"58572800\", alpha=\"0.01\", expect_size=\"17571840\"] \n  28 [size=\"22415360\", alpha=\"0.19\", expect_size=\"6724608\"] \n  29 [size=\"124658347\", alpha=\"0.07\", expect_size=\"37397504\"] \n  30 [size=\"167901867\", alpha=\"0.10\", expect_size=\"50370560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26679296\", alpha=\"0.02\", expect_size=\"13339648\"] \n  1 -> 2 [size =\"13339648\"]\n  2 [size=\"81117184\", alpha=\"0.06\", expect_size=\"40558592\"] \n  2 -> 3 [size =\"40558592\"]\n  3 [size=\"66244608\", alpha=\"0.01\", expect_size=\"33122304\"] \n  3 -> 4 [size =\"33122304\"]\n  4 [size=\"81375232\", alpha=\"0.17\", expect_size=\"40687616\"] \n  4 -> 5 [size =\"40687616\"]\n  5 [size=\"24342528\", alpha=\"0.05\", expect_size=\"12171264\"] \n  5 -> 6 [size =\"12171264\"]\n  6 [size=\"48060416\", alpha=\"0.06\", expect_size=\"24030208\"] \n  6 -> 7 [size =\"24030208\"]\n  7 [size=\"70555648\", alpha=\"0.07\", expect_size=\"35277824\"] \n  7 -> 8 [size =\"35277824\"]\n  8 [size=\"67522560\", alpha=\"0.01\", expect_size=\"33761280\"] \n  8 -> 9 [size =\"33761280\"]\n  9 [size=\"59355136\", alpha=\"0.16\", expect_size=\"29677568\"] \n  9 -> 10 [size =\"29677568\"]\n  10 [size=\"54925312\", alpha=\"0.01\", expect_size=\"27462656\"] \n  10 -> 11 [size =\"27462656\"]\n  11 [size=\"39694336\", alpha=\"0.05\", expect_size=\"19847168\"] \n  11 -> 12 [size =\"19847168\"]\n  12 [size=\"49201152\", alpha=\"0.15\", expect_size=\"24600576\"] \n  12 -> 13 [size =\"24600576\"]\n  13 [size=\"76015616\", alpha=\"0.15\", expect_size=\"38007808\"] \n  13 -> 14 [size =\"38007808\"]\n  14 [size=\"82378752\", alpha=\"0.11\", expect_size=\"41189376\"] \n  14 -> 15 [size =\"41189376\"]\n  15 [size=\"69888000\", alpha=\"0.16\", expect_size=\"34944000\"] \n  15 -> 16 [size =\"34944000\"]\n  16 [size=\"92737536\", alpha=\"0.04\", expect_size=\"46368768\"] \n  16 -> 17 [size =\"46368768\"]\n  17 [size=\"26558464\", alpha=\"0.12\", expect_size=\"13279232\"] \n  17 -> 18 [size =\"13279232\"]\n  18 [size=\"61626368\", alpha=\"0.10\", expect_size=\"30813184\"] \n  18 -> 19 [size =\"30813184\"]\n  19 [size=\"64854016\", alpha=\"0.05\", expect_size=\"32427008\"] \n  19 -> 20 [size =\"32427008\"]\n  20 [size=\"48132096\", alpha=\"0.10\", expect_size=\"24066048\"] \n  20 -> 21 [size =\"24066048\"]\n  21 [size=\"53123072\", alpha=\"0.19\", expect_size=\"26561536\"] \n  21 -> 22 [size =\"26561536\"]\n  22 [size=\"76521472\", alpha=\"0.02\", expect_size=\"38260736\"] \n  22 -> 23 [size =\"38260736\"]\n  23 [size=\"54583296\", alpha=\"0.18\", expect_size=\"27291648\"] \n  23 -> 24 [size =\"27291648\"]\n  24 [size=\"30840832\", alpha=\"0.08\", expect_size=\"15420416\"] \n  24 -> 25 [size =\"15420416\"]\n  25 [size=\"85102592\", alpha=\"0.01\", expect_size=\"42551296\"] \n  25 -> 26 [size =\"42551296\"]\n  26 [size=\"64548864\", alpha=\"0.03\", expect_size=\"32274432\"] \n  26 -> 27 [size =\"32274432\"]\n  27 [size=\"83103744\", alpha=\"0.17\", expect_size=\"41551872\"] \n  27 -> 28 [size =\"41551872\"]\n  28 [size=\"43632640\", alpha=\"0.03\", expect_size=\"21816320\"] \n  28 -> 29 [size =\"21816320\"]\n  29 [size=\"89913344\", alpha=\"0.20\", expect_size=\"44956672\"] \n  29 -> 30 [size =\"44956672\"]\n  30 [size=\"17876992\", alpha=\"0.06\", expect_size=\"8938496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75395072\", alpha=\"0.01\", expect_size=\"37697536\"] \n  1 -> 28 [size =\"37697536\"]\n  1 -> 29 [size =\"37697536\"]\n  2 [size=\"85102592\", alpha=\"0.18\", expect_size=\"42551296\"] \n  2 -> 23 [size =\"42551296\"]\n  2 -> 25 [size =\"42551296\"]\n  2 -> 27 [size =\"42551296\"]\n  2 -> 28 [size =\"42551296\"]\n  3 [size=\"84000768\", alpha=\"0.06\", expect_size=\"42000384\"] \n  3 -> 23 [size =\"42000384\"]\n  3 -> 25 [size =\"42000384\"]\n  3 -> 27 [size =\"42000384\"]\n  3 -> 28 [size =\"42000384\"]\n  3 -> 29 [size =\"42000384\"]\n  4 [size=\"32036864\", alpha=\"0.10\", expect_size=\"16018432\"] \n  4 -> 23 [size =\"16018432\"]\n  4 -> 24 [size =\"16018432\"]\n  4 -> 25 [size =\"16018432\"]\n  4 -> 27 [size =\"16018432\"]\n  4 -> 28 [size =\"16018432\"]\n  5 [size=\"33591296\", alpha=\"0.09\", expect_size=\"16795648\"] \n  5 -> 22 [size =\"16795648\"]\n  5 -> 23 [size =\"16795648\"]\n  5 -> 24 [size =\"16795648\"]\n  5 -> 27 [size =\"16795648\"]\n  6 [size=\"83984384\", alpha=\"0.18\", expect_size=\"41992192\"] \n  6 -> 22 [size =\"41992192\"]\n  6 -> 23 [size =\"41992192\"]\n  6 -> 24 [size =\"41992192\"]\n  6 -> 25 [size =\"41992192\"]\n  6 -> 27 [size =\"41992192\"]\n  7 [size=\"69595136\", alpha=\"0.12\", expect_size=\"34797568\"] \n  7 -> 22 [size =\"34797568\"]\n  7 -> 23 [size =\"34797568\"]\n  7 -> 24 [size =\"34797568\"]\n  7 -> 25 [size =\"34797568\"]\n  7 -> 27 [size =\"34797568\"]\n  7 -> 28 [size =\"34797568\"]\n  8 [size=\"26679296\", alpha=\"0.05\", expect_size=\"13339648\"] \n  8 -> 23 [size =\"13339648\"]\n  8 -> 24 [size =\"13339648\"]\n  8 -> 24 [size =\"13339648\"]\n  8 -> 25 [size =\"13339648\"]\n  8 -> 26 [size =\"13339648\"]\n  8 -> 27 [size =\"13339648\"]\n  9 [size=\"94566400\", alpha=\"0.09\", expect_size=\"47283200\"] \n  9 -> 24 [size =\"47283200\"]\n  9 -> 25 [size =\"47283200\"]\n  9 -> 26 [size =\"47283200\"]\n  9 -> 27 [size =\"47283200\"]\n  9 -> 28 [size =\"47283200\"]\n  9 -> 29 [size =\"47283200\"]\n  10 [size=\"56496128\", alpha=\"0.02\", expect_size=\"28248064\"] \n  10 -> 22 [size =\"28248064\"]\n  10 -> 23 [size =\"28248064\"]\n  10 -> 24 [size =\"28248064\"]\n  10 -> 25 [size =\"28248064\"]\n  10 -> 26 [size =\"28248064\"]\n  10 -> 27 [size =\"28248064\"]\n  11 [size=\"65146880\", alpha=\"0.02\", expect_size=\"32573440\"] \n  11 -> 22 [size =\"32573440\"]\n  11 -> 23 [size =\"32573440\"]\n  11 -> 24 [size =\"32573440\"]\n  11 -> 25 [size =\"32573440\"]\n  11 -> 27 [size =\"32573440\"]\n  11 -> 27 [size =\"32573440\"]\n  12 [size=\"70381568\", alpha=\"0.06\", expect_size=\"35190784\"] \n  12 -> 22 [size =\"35190784\"]\n  12 -> 24 [size =\"35190784\"]\n  12 -> 24 [size =\"35190784\"]\n  12 -> 25 [size =\"35190784\"]\n  12 -> 26 [size =\"35190784\"]\n  12 -> 27 [size =\"35190784\"]\n  13 [size=\"58884096\", alpha=\"0.06\", expect_size=\"29442048\"] \n  13 -> 22 [size =\"29442048\"]\n  13 -> 23 [size =\"29442048\"]\n  13 -> 24 [size =\"29442048\"]\n  13 -> 25 [size =\"29442048\"]\n  14 [size=\"89546752\", alpha=\"0.20\", expect_size=\"44773376\"] \n  14 -> 22 [size =\"44773376\"]\n  14 -> 25 [size =\"44773376\"]\n  15 [size=\"40951808\", alpha=\"0.13\", expect_size=\"20475904\"] \n  15 -> 22 [size =\"20475904\"]\n  15 -> 23 [size =\"20475904\"]\n  15 -> 25 [size =\"20475904\"]\n  15 -> 26 [size =\"20475904\"]\n  15 -> 27 [size =\"20475904\"]\n  16 [size=\"81377280\", alpha=\"0.00\", expect_size=\"40688640\"] \n  16 -> 22 [size =\"40688640\"]\n  16 -> 23 [size =\"40688640\"]\n  16 -> 25 [size =\"40688640\"]\n  16 -> 26 [size =\"40688640\"]\n  16 -> 28 [size =\"40688640\"]\n  16 -> 29 [size =\"40688640\"]\n  16 -> 30 [size =\"40688640\"]\n  17 [size=\"72605696\", alpha=\"0.03\", expect_size=\"36302848\"] \n  17 -> 22 [size =\"36302848\"]\n  17 -> 23 [size =\"36302848\"]\n  17 -> 24 [size =\"36302848\"]\n  17 -> 25 [size =\"36302848\"]\n  17 -> 28 [size =\"36302848\"]\n  17 -> 29 [size =\"36302848\"]\n  18 [size=\"33075200\", alpha=\"0.10\", expect_size=\"16537600\"] \n  18 -> 22 [size =\"16537600\"]\n  18 -> 23 [size =\"16537600\"]\n  18 -> 24 [size =\"16537600\"]\n  18 -> 25 [size =\"16537600\"]\n  19 [size=\"57903104\", alpha=\"0.08\", expect_size=\"28951552\"] \n  19 -> 23 [size =\"28951552\"]\n  19 -> 24 [size =\"28951552\"]\n  19 -> 25 [size =\"28951552\"]\n  19 -> 25 [size =\"28951552\"]\n  19 -> 27 [size =\"28951552\"]\n  19 -> 28 [size =\"28951552\"]\n  19 -> 29 [size =\"28951552\"]\n  19 -> 30 [size =\"28951552\"]\n  20 [size=\"98922496\", alpha=\"0.07\", expect_size=\"49461248\"] \n  20 -> 27 [size =\"49461248\"]\n  20 -> 28 [size =\"49461248\"]\n  20 -> 29 [size =\"49461248\"]\n  21 [size=\"15958016\", alpha=\"0.19\", expect_size=\"7979008\"] \n  21 -> 22 [size =\"7979008\"]\n  21 -> 23 [size =\"7979008\"]\n  21 -> 25 [size =\"7979008\"]\n  22 [size=\"24551424\", alpha=\"0.08\", expect_size=\"12275712\"] \n  23 [size=\"51085312\", alpha=\"0.11\", expect_size=\"25542656\"] \n  24 [size=\"79808512\", alpha=\"0.20\", expect_size=\"39904256\"] \n  25 [size=\"79587328\", alpha=\"0.13\", expect_size=\"39793664\"] \n  26 [size=\"45262848\", alpha=\"0.02\", expect_size=\"22631424\"] \n  27 [size=\"46039040\", alpha=\"0.03\", expect_size=\"23019520\"] \n  28 [size=\"60960768\", alpha=\"0.08\", expect_size=\"30480384\"] \n  29 [size=\"11542528\", alpha=\"0.11\", expect_size=\"5771264\"] \n  30 [size=\"50012160\", alpha=\"0.03\", expect_size=\"25006080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106152960\", alpha=\"0.18\", expect_size=\"42461184\"] \n  1 -> 29 [size =\"42461184\"]\n  2 [size=\"39900160\", alpha=\"0.09\", expect_size=\"15960064\"] \n  2 -> 23 [size =\"15960064\"]\n  2 -> 26 [size =\"15960064\"]\n  2 -> 29 [size =\"15960064\"]\n  3 [size=\"117365760\", alpha=\"0.17\", expect_size=\"46946304\"] \n  3 -> 26 [size =\"46946304\"]\n  3 -> 29 [size =\"46946304\"]\n  4 [size=\"77376000\", alpha=\"0.12\", expect_size=\"30950400\"] \n  4 -> 23 [size =\"30950400\"]\n  4 -> 24 [size =\"30950400\"]\n  4 -> 25 [size =\"30950400\"]\n  4 -> 29 [size =\"30950400\"]\n  4 -> 30 [size =\"30950400\"]\n  5 [size=\"97958400\", alpha=\"0.16\", expect_size=\"39183360\"] \n  5 -> 23 [size =\"39183360\"]\n  5 -> 25 [size =\"39183360\"]\n  5 -> 28 [size =\"39183360\"]\n  5 -> 29 [size =\"39183360\"]\n  5 -> 30 [size =\"39183360\"]\n  6 [size=\"107110400\", alpha=\"0.14\", expect_size=\"42844160\"] \n  6 -> 28 [size =\"42844160\"]\n  7 [size=\"43609600\", alpha=\"0.19\", expect_size=\"17443840\"] \n  7 -> 27 [size =\"17443840\"]\n  8 [size=\"119147520\", alpha=\"0.04\", expect_size=\"47659008\"] \n  8 -> 24 [size =\"47659008\"]\n  8 -> 27 [size =\"47659008\"]\n  8 -> 29 [size =\"47659008\"]\n  9 [size=\"106611200\", alpha=\"0.12\", expect_size=\"42644480\"] \n  9 -> 26 [size =\"42644480\"]\n  9 -> 27 [size =\"42644480\"]\n  9 -> 29 [size =\"42644480\"]\n  10 [size=\"83166720\", alpha=\"0.10\", expect_size=\"33266688\"] \n  10 -> 24 [size =\"33266688\"]\n  10 -> 25 [size =\"33266688\"]\n  10 -> 26 [size =\"33266688\"]\n  10 -> 27 [size =\"33266688\"]\n  11 [size=\"72977920\", alpha=\"0.02\", expect_size=\"29191168\"] \n  11 -> 27 [size =\"29191168\"]\n  11 -> 28 [size =\"29191168\"]\n  11 -> 29 [size =\"29191168\"]\n  12 [size=\"63367680\", alpha=\"0.10\", expect_size=\"25347072\"] \n  12 -> 26 [size =\"25347072\"]\n  12 -> 27 [size =\"25347072\"]\n  12 -> 28 [size =\"25347072\"]\n  13 [size=\"117893120\", alpha=\"0.04\", expect_size=\"47157248\"] \n  13 -> 28 [size =\"47157248\"]\n  13 -> 29 [size =\"47157248\"]\n  14 [size=\"98629120\", alpha=\"0.04\", expect_size=\"39451648\"] \n  14 -> 28 [size =\"39451648\"]\n  14 -> 29 [size =\"39451648\"]\n  15 [size=\"49093120\", alpha=\"0.15\", expect_size=\"19637248\"] \n  15 -> 23 [size =\"19637248\"]\n  15 -> 28 [size =\"19637248\"]\n  15 -> 29 [size =\"19637248\"]\n  16 [size=\"23306240\", alpha=\"0.20\", expect_size=\"9322496\"] \n  16 -> 28 [size =\"9322496\"]\n  16 -> 28 [size =\"9322496\"]\n  16 -> 30 [size =\"9322496\"]\n  17 [size=\"108075520\", alpha=\"0.14\", expect_size=\"43230208\"] \n  17 -> 24 [size =\"43230208\"]\n  17 -> 27 [size =\"43230208\"]\n  17 -> 28 [size =\"43230208\"]\n  18 [size=\"104806400\", alpha=\"0.20\", expect_size=\"41922560\"] \n  18 -> 24 [size =\"41922560\"]\n  18 -> 27 [size =\"41922560\"]\n  19 [size=\"128926720\", alpha=\"0.06\", expect_size=\"51570688\"] \n  19 -> 24 [size =\"51570688\"]\n  20 [size=\"81643520\", alpha=\"0.19\", expect_size=\"32657408\"] \n  20 -> 24 [size =\"32657408\"]\n  20 -> 27 [size =\"32657408\"]\n  21 [size=\"22440960\", alpha=\"0.07\", expect_size=\"8976384\"] \n  21 -> 24 [size =\"8976384\"]\n  21 -> 30 [size =\"8976384\"]\n  22 [size=\"34680320\", alpha=\"0.01\", expect_size=\"13872128\"] \n  22 -> 24 [size =\"13872128\"]\n  23 [size=\"94863360\", alpha=\"0.11\", expect_size=\"37945344\"] \n  24 [size=\"117982720\", alpha=\"0.13\", expect_size=\"47193088\"] \n  25 [size=\"21708800\", alpha=\"0.09\", expect_size=\"8683520\"] \n  26 [size=\"108080640\", alpha=\"0.01\", expect_size=\"43232256\"] \n  27 [size=\"105638400\", alpha=\"0.19\", expect_size=\"42255360\"] \n  28 [size=\"73113600\", alpha=\"0.14\", expect_size=\"29245440\"] \n  29 [size=\"71449600\", alpha=\"0.05\", expect_size=\"28579840\"] \n  30 [size=\"105582080\", alpha=\"0.08\", expect_size=\"42232832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48345088\", alpha=\"0.08\", expect_size=\"24172544\"] \n  1 -> 2 [size =\"24172544\"]\n  1 -> 3 [size =\"24172544\"]\n  2 [size=\"23556096\", alpha=\"0.13\", expect_size=\"11778048\"] \n  2 -> 4 [size =\"11778048\"]\n  3 [size=\"30208000\", alpha=\"0.16\", expect_size=\"15104000\"] \n  4 [size=\"78225408\", alpha=\"0.18\", expect_size=\"39112704\"] \n  4 -> 5 [size =\"39112704\"]\n  5 [size=\"53614592\", alpha=\"0.03\", expect_size=\"26807296\"] \n  5 -> 6 [size =\"26807296\"]\n  5 -> 7 [size =\"26807296\"]\n  6 [size=\"33423360\", alpha=\"0.06\", expect_size=\"16711680\"] \n  6 -> 8 [size =\"16711680\"]\n  7 [size=\"85504000\", alpha=\"0.03\", expect_size=\"42752000\"] \n  7 -> 8 [size =\"42752000\"]\n  8 [size=\"24672256\", alpha=\"0.19\", expect_size=\"12336128\"] \n  8 -> 9 [size =\"12336128\"]\n  9 [size=\"42004480\", alpha=\"0.18\", expect_size=\"21002240\"] \n  9 -> 10 [size =\"21002240\"]\n  9 -> 11 [size =\"21002240\"]\n  10 [size=\"55693312\", alpha=\"0.11\", expect_size=\"27846656\"] \n  10 -> 12 [size =\"27846656\"]\n  11 [size=\"12591104\", alpha=\"0.08\", expect_size=\"6295552\"] \n  12 [size=\"48416768\", alpha=\"0.02\", expect_size=\"24208384\"] \n  12 -> 13 [size =\"24208384\"]\n  12 -> 14 [size =\"24208384\"]\n  13 [size=\"16865280\", alpha=\"0.16\", expect_size=\"8432640\"] \n  13 -> 15 [size =\"8432640\"]\n  14 [size=\"91226112\", alpha=\"0.04\", expect_size=\"45613056\"] \n  15 [size=\"82255872\", alpha=\"0.20\", expect_size=\"41127936\"] \n  15 -> 16 [size =\"41127936\"]\n  16 [size=\"96636928\", alpha=\"0.18\", expect_size=\"48318464\"] \n  16 -> 17 [size =\"48318464\"]\n  16 -> 18 [size =\"48318464\"]\n  17 [size=\"28946432\", alpha=\"0.07\", expect_size=\"14473216\"] \n  18 [size=\"42162176\", alpha=\"0.03\", expect_size=\"21081088\"] \n  18 -> 19 [size =\"21081088\"]\n  19 [size=\"35844096\", alpha=\"0.13\", expect_size=\"17922048\"] \n  19 -> 20 [size =\"17922048\"]\n  19 -> 21 [size =\"17922048\"]\n  20 [size=\"26738688\", alpha=\"0.20\", expect_size=\"13369344\"] \n  20 -> 22 [size =\"13369344\"]\n  20 -> 23 [size =\"13369344\"]\n  21 [size=\"77725696\", alpha=\"0.14\", expect_size=\"38862848\"] \n  21 -> 22 [size =\"38862848\"]\n  22 [size=\"20858880\", alpha=\"0.12\", expect_size=\"10429440\"] \n  22 -> 24 [size =\"10429440\"]\n  23 [size=\"32382976\", alpha=\"0.13\", expect_size=\"16191488\"] \n  23 -> 24 [size =\"16191488\"]\n  24 [size=\"15462400\", alpha=\"0.09\", expect_size=\"7731200\"] \n  24 -> 25 [size =\"7731200\"]\n  24 -> 26 [size =\"7731200\"]\n  25 [size=\"34422784\", alpha=\"0.14\", expect_size=\"17211392\"] \n  25 -> 27 [size =\"17211392\"]\n  26 [size=\"32063488\", alpha=\"0.04\", expect_size=\"16031744\"] \n  26 -> 28 [size =\"16031744\"]\n  27 [size=\"24283136\", alpha=\"0.10\", expect_size=\"12141568\"] \n  27 -> 29 [size =\"12141568\"]\n  27 -> 30 [size =\"12141568\"]\n  28 [size=\"57716736\", alpha=\"0.19\", expect_size=\"28858368\"] \n  28 -> 30 [size =\"28858368\"]\n  29 [size=\"72697856\", alpha=\"0.14\", expect_size=\"36348928\"] \n  30 [size=\"41029632\", alpha=\"0.20\", expect_size=\"20514816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20588544\", alpha=\"0.18\", expect_size=\"10294272\"] \n  1 -> 2 [size =\"10294272\"]\n  2 [size=\"67721216\", alpha=\"0.11\", expect_size=\"33860608\"] \n  2 -> 3 [size =\"33860608\"]\n  3 [size=\"78161920\", alpha=\"0.14\", expect_size=\"39080960\"] \n  3 -> 4 [size =\"39080960\"]\n  4 [size=\"40994816\", alpha=\"0.12\", expect_size=\"20497408\"] \n  4 -> 5 [size =\"20497408\"]\n  5 [size=\"12019712\", alpha=\"0.08\", expect_size=\"6009856\"] \n  5 -> 6 [size =\"6009856\"]\n  6 [size=\"76810240\", alpha=\"0.18\", expect_size=\"38405120\"] \n  6 -> 7 [size =\"38405120\"]\n  7 [size=\"15949824\", alpha=\"0.15\", expect_size=\"7974912\"] \n  7 -> 8 [size =\"7974912\"]\n  8 [size=\"67807232\", alpha=\"0.11\", expect_size=\"33903616\"] \n  8 -> 9 [size =\"33903616\"]\n  9 [size=\"104163328\", alpha=\"0.03\", expect_size=\"52081664\"] \n  9 -> 10 [size =\"52081664\"]\n  10 [size=\"22435840\", alpha=\"0.13\", expect_size=\"11217920\"] \n  10 -> 11 [size =\"11217920\"]\n  11 [size=\"102840320\", alpha=\"0.19\", expect_size=\"51420160\"] \n  11 -> 12 [size =\"51420160\"]\n  12 [size=\"95137792\", alpha=\"0.02\", expect_size=\"47568896\"] \n  12 -> 13 [size =\"47568896\"]\n  13 [size=\"54886400\", alpha=\"0.03\", expect_size=\"27443200\"] \n  13 -> 14 [size =\"27443200\"]\n  14 [size=\"28110848\", alpha=\"0.14\", expect_size=\"14055424\"] \n  14 -> 15 [size =\"14055424\"]\n  15 [size=\"83906560\", alpha=\"0.07\", expect_size=\"41953280\"] \n  15 -> 16 [size =\"41953280\"]\n  16 [size=\"25282560\", alpha=\"0.08\", expect_size=\"12641280\"] \n  16 -> 17 [size =\"12641280\"]\n  17 [size=\"14604288\", alpha=\"0.19\", expect_size=\"7302144\"] \n  17 -> 18 [size =\"7302144\"]\n  18 [size=\"85663744\", alpha=\"0.09\", expect_size=\"42831872\"] \n  18 -> 19 [size =\"42831872\"]\n  19 [size=\"41922560\", alpha=\"0.03\", expect_size=\"20961280\"] \n  19 -> 20 [size =\"20961280\"]\n  20 [size=\"56821760\", alpha=\"0.19\", expect_size=\"28410880\"] \n  20 -> 21 [size =\"28410880\"]\n  21 [size=\"21569536\", alpha=\"0.16\", expect_size=\"10784768\"] \n  21 -> 22 [size =\"10784768\"]\n  22 [size=\"14673920\", alpha=\"0.06\", expect_size=\"7336960\"] \n  22 -> 23 [size =\"7336960\"]\n  23 [size=\"25309184\", alpha=\"0.11\", expect_size=\"12654592\"] \n  23 -> 24 [size =\"12654592\"]\n  24 [size=\"39286784\", alpha=\"0.01\", expect_size=\"19643392\"] \n  24 -> 25 [size =\"19643392\"]\n  25 [size=\"11628544\", alpha=\"0.12\", expect_size=\"5814272\"] \n  25 -> 26 [size =\"5814272\"]\n  26 [size=\"45385728\", alpha=\"0.17\", expect_size=\"22692864\"] \n  26 -> 27 [size =\"22692864\"]\n  27 [size=\"82569216\", alpha=\"0.03\", expect_size=\"41284608\"] \n  27 -> 28 [size =\"41284608\"]\n  28 [size=\"77758464\", alpha=\"0.02\", expect_size=\"38879232\"] \n  28 -> 29 [size =\"38879232\"]\n  29 [size=\"27244544\", alpha=\"0.20\", expect_size=\"13622272\"] \n  29 -> 30 [size =\"13622272\"]\n  30 [size=\"42270720\", alpha=\"0.01\", expect_size=\"21135360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33733973\", alpha=\"0.00\", expect_size=\"10120192\"] \n  1 -> 26 [size =\"10120192\"]\n  2 [size=\"104045227\", alpha=\"0.15\", expect_size=\"31213568\"] \n  2 -> 26 [size =\"31213568\"]\n  3 [size=\"129877333\", alpha=\"0.18\", expect_size=\"38963200\"] \n  3 -> 23 [size =\"38963200\"]\n  3 -> 26 [size =\"38963200\"]\n  3 -> 28 [size =\"38963200\"]\n  4 [size=\"98242560\", alpha=\"0.08\", expect_size=\"29472768\"] \n  4 -> 30 [size =\"29472768\"]\n  5 [size=\"43520000\", alpha=\"0.07\", expect_size=\"13056000\"] \n  5 -> 23 [size =\"13056000\"]\n  5 -> 25 [size =\"13056000\"]\n  5 -> 26 [size =\"13056000\"]\n  5 -> 29 [size =\"13056000\"]\n  5 -> 30 [size =\"13056000\"]\n  6 [size=\"76991147\", alpha=\"0.14\", expect_size=\"23097344\"] \n  6 -> 23 [size =\"23097344\"]\n  6 -> 26 [size =\"23097344\"]\n  6 -> 29 [size =\"23097344\"]\n  6 -> 30 [size =\"23097344\"]\n  7 [size=\"125651627\", alpha=\"0.14\", expect_size=\"37695488\"] \n  7 -> 23 [size =\"37695488\"]\n  7 -> 25 [size =\"37695488\"]\n  7 -> 29 [size =\"37695488\"]\n  8 [size=\"114930347\", alpha=\"0.12\", expect_size=\"34479104\"] \n  8 -> 25 [size =\"34479104\"]\n  8 -> 29 [size =\"34479104\"]\n  8 -> 30 [size =\"34479104\"]\n  9 [size=\"103045120\", alpha=\"0.13\", expect_size=\"30913536\"] \n  9 -> 28 [size =\"30913536\"]\n  9 -> 30 [size =\"30913536\"]\n  10 [size=\"91142827\", alpha=\"0.04\", expect_size=\"27342848\"] \n  11 [size=\"73929387\", alpha=\"0.15\", expect_size=\"22178816\"] \n  11 -> 26 [size =\"22178816\"]\n  12 [size=\"77233493\", alpha=\"0.16\", expect_size=\"23170048\"] \n  12 -> 23 [size =\"23170048\"]\n  12 -> 24 [size =\"23170048\"]\n  12 -> 26 [size =\"23170048\"]\n  13 [size=\"34853547\", alpha=\"0.10\", expect_size=\"10456064\"] \n  14 [size=\"17800533\", alpha=\"0.08\", expect_size=\"5340160\"] \n  14 -> 23 [size =\"5340160\"]\n  15 [size=\"78940160\", alpha=\"0.14\", expect_size=\"23682048\"] \n  15 -> 24 [size =\"23682048\"]\n  15 -> 29 [size =\"23682048\"]\n  16 [size=\"136983893\", alpha=\"0.02\", expect_size=\"41095168\"] \n  16 -> 26 [size =\"41095168\"]\n  16 -> 29 [size =\"41095168\"]\n  17 [size=\"87866027\", alpha=\"0.13\", expect_size=\"26359808\"] \n  17 -> 23 [size =\"26359808\"]\n  18 [size=\"38700373\", alpha=\"0.06\", expect_size=\"11610112\"] \n  18 -> 23 [size =\"11610112\"]\n  18 -> 29 [size =\"11610112\"]\n  18 -> 30 [size =\"11610112\"]\n  19 [size=\"129730560\", alpha=\"0.16\", expect_size=\"38919168\"] \n  19 -> 26 [size =\"38919168\"]\n  19 -> 27 [size =\"38919168\"]\n  19 -> 29 [size =\"38919168\"]\n  19 -> 30 [size =\"38919168\"]\n  20 [size=\"75154773\", alpha=\"0.13\", expect_size=\"22546432\"] \n  20 -> 26 [size =\"22546432\"]\n  20 -> 30 [size =\"22546432\"]\n  21 [size=\"106987520\", alpha=\"0.11\", expect_size=\"32096256\"] \n  21 -> 23 [size =\"32096256\"]\n  22 [size=\"64341333\", alpha=\"0.01\", expect_size=\"19302400\"] \n  22 -> 23 [size =\"19302400\"]\n  22 -> 29 [size =\"19302400\"]\n  22 -> 30 [size =\"19302400\"]\n  23 [size=\"33133227\", alpha=\"0.05\", expect_size=\"9939968\"] \n  24 [size=\"111083520\", alpha=\"0.20\", expect_size=\"33325056\"] \n  25 [size=\"172663467\", alpha=\"0.18\", expect_size=\"51799040\"] \n  26 [size=\"125122560\", alpha=\"0.03\", expect_size=\"37536768\"] \n  27 [size=\"141527040\", alpha=\"0.02\", expect_size=\"42458112\"] \n  28 [size=\"90378240\", alpha=\"0.13\", expect_size=\"27113472\"] \n  29 [size=\"139741867\", alpha=\"0.16\", expect_size=\"41922560\"] \n  30 [size=\"106663253\", alpha=\"0.07\", expect_size=\"31998976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91276800\", alpha=\"0.20\", expect_size=\"36510720\"] \n  1 -> 12 [size =\"36510720\"]\n  1 -> 13 [size =\"36510720\"]\n  1 -> 16 [size =\"36510720\"]\n  1 -> 22 [size =\"36510720\"]\n  2 [size=\"47303680\", alpha=\"0.16\", expect_size=\"18921472\"] \n  2 -> 12 [size =\"18921472\"]\n  2 -> 13 [size =\"18921472\"]\n  2 -> 17 [size =\"18921472\"]\n  2 -> 18 [size =\"18921472\"]\n  2 -> 21 [size =\"18921472\"]\n  3 [size=\"55262720\", alpha=\"0.17\", expect_size=\"22105088\"] \n  3 -> 20 [size =\"22105088\"]\n  3 -> 22 [size =\"22105088\"]\n  4 [size=\"94650880\", alpha=\"0.03\", expect_size=\"37860352\"] \n  4 -> 14 [size =\"37860352\"]\n  4 -> 19 [size =\"37860352\"]\n  4 -> 21 [size =\"37860352\"]\n  5 [size=\"38668800\", alpha=\"0.08\", expect_size=\"15467520\"] \n  5 -> 12 [size =\"15467520\"]\n  5 -> 13 [size =\"15467520\"]\n  5 -> 17 [size =\"15467520\"]\n  5 -> 18 [size =\"15467520\"]\n  5 -> 19 [size =\"15467520\"]\n  5 -> 21 [size =\"15467520\"]\n  5 -> 22 [size =\"15467520\"]\n  6 [size=\"105410560\", alpha=\"0.16\", expect_size=\"42164224\"] \n  6 -> 12 [size =\"42164224\"]\n  6 -> 15 [size =\"42164224\"]\n  6 -> 21 [size =\"42164224\"]\n  6 -> 22 [size =\"42164224\"]\n  7 [size=\"91714560\", alpha=\"0.07\", expect_size=\"36685824\"] \n  7 -> 16 [size =\"36685824\"]\n  7 -> 18 [size =\"36685824\"]\n  7 -> 21 [size =\"36685824\"]\n  7 -> 22 [size =\"36685824\"]\n  8 [size=\"22919680\", alpha=\"0.09\", expect_size=\"9167872\"] \n  8 -> 12 [size =\"9167872\"]\n  8 -> 16 [size =\"9167872\"]\n  8 -> 22 [size =\"9167872\"]\n  8 -> 22 [size =\"9167872\"]\n  9 [size=\"54266880\", alpha=\"0.12\", expect_size=\"21706752\"] \n  9 -> 16 [size =\"21706752\"]\n  9 -> 17 [size =\"21706752\"]\n  9 -> 19 [size =\"21706752\"]\n  10 [size=\"18936320\", alpha=\"0.06\", expect_size=\"7574528\"] \n  10 -> 16 [size =\"7574528\"]\n  11 [size=\"102062080\", alpha=\"0.04\", expect_size=\"40824832\"] \n  11 -> 21 [size =\"40824832\"]\n  12 [size=\"100579840\", alpha=\"0.10\", expect_size=\"40231936\"] \n  12 -> 24 [size =\"40231936\"]\n  12 -> 30 [size =\"40231936\"]\n  13 [size=\"79380480\", alpha=\"0.18\", expect_size=\"31752192\"] \n  13 -> 24 [size =\"31752192\"]\n  13 -> 29 [size =\"31752192\"]\n  14 [size=\"59468800\", alpha=\"0.18\", expect_size=\"23787520\"] \n  14 -> 23 [size =\"23787520\"]\n  14 -> 29 [size =\"23787520\"]\n  14 -> 30 [size =\"23787520\"]\n  15 [size=\"76195840\", alpha=\"0.02\", expect_size=\"30478336\"] \n  15 -> 24 [size =\"30478336\"]\n  16 [size=\"123248640\", alpha=\"0.12\", expect_size=\"49299456\"] \n  16 -> 23 [size =\"49299456\"]\n  16 -> 28 [size =\"49299456\"]\n  17 [size=\"102400000\", alpha=\"0.04\", expect_size=\"40960000\"] \n  17 -> 23 [size =\"40960000\"]\n  17 -> 24 [size =\"40960000\"]\n  17 -> 27 [size =\"40960000\"]\n  17 -> 28 [size =\"40960000\"]\n  17 -> 29 [size =\"40960000\"]\n  18 [size=\"25866240\", alpha=\"0.05\", expect_size=\"10346496\"] \n  18 -> 23 [size =\"10346496\"]\n  18 -> 24 [size =\"10346496\"]\n  18 -> 25 [size =\"10346496\"]\n  19 [size=\"79106560\", alpha=\"0.01\", expect_size=\"31642624\"] \n  19 -> 25 [size =\"31642624\"]\n  19 -> 28 [size =\"31642624\"]\n  20 [size=\"29785600\", alpha=\"0.13\", expect_size=\"11914240\"] \n  20 -> 26 [size =\"11914240\"]\n  20 -> 27 [size =\"11914240\"]\n  21 [size=\"64744960\", alpha=\"0.18\", expect_size=\"25897984\"] \n  21 -> 27 [size =\"25897984\"]\n  22 [size=\"86297600\", alpha=\"0.09\", expect_size=\"34519040\"] \n  22 -> 27 [size =\"34519040\"]\n  22 -> 28 [size =\"34519040\"]\n  22 -> 30 [size =\"34519040\"]\n  23 [size=\"27317760\", alpha=\"0.07\", expect_size=\"10927104\"] \n  24 [size=\"16299520\", alpha=\"0.18\", expect_size=\"6519808\"] \n  25 [size=\"121766400\", alpha=\"0.15\", expect_size=\"48706560\"] \n  26 [size=\"18007040\", alpha=\"0.06\", expect_size=\"7202816\"] \n  27 [size=\"91691520\", alpha=\"0.11\", expect_size=\"36676608\"] \n  28 [size=\"116331520\", alpha=\"0.18\", expect_size=\"46532608\"] \n  29 [size=\"26124800\", alpha=\"0.12\", expect_size=\"10449920\"] \n  30 [size=\"33195520\", alpha=\"0.07\", expect_size=\"13278208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39909376\", alpha=\"0.15\", expect_size=\"19954688\"] \n  1 -> 24 [size =\"19954688\"]\n  1 -> 28 [size =\"19954688\"]\n  1 -> 29 [size =\"19954688\"]\n  1 -> 30 [size =\"19954688\"]\n  2 [size=\"51191808\", alpha=\"0.18\", expect_size=\"25595904\"] \n  2 -> 23 [size =\"25595904\"]\n  2 -> 26 [size =\"25595904\"]\n  2 -> 28 [size =\"25595904\"]\n  2 -> 29 [size =\"25595904\"]\n  3 [size=\"98637824\", alpha=\"0.09\", expect_size=\"49318912\"] \n  3 -> 21 [size =\"49318912\"]\n  3 -> 25 [size =\"49318912\"]\n  3 -> 26 [size =\"49318912\"]\n  3 -> 27 [size =\"49318912\"]\n  3 -> 29 [size =\"49318912\"]\n  3 -> 30 [size =\"49318912\"]\n  4 [size=\"25444352\", alpha=\"0.02\", expect_size=\"12722176\"] \n  4 -> 21 [size =\"12722176\"]\n  4 -> 22 [size =\"12722176\"]\n  4 -> 28 [size =\"12722176\"]\n  4 -> 29 [size =\"12722176\"]\n  4 -> 30 [size =\"12722176\"]\n  4 -> 30 [size =\"12722176\"]\n  5 [size=\"22691840\", alpha=\"0.12\", expect_size=\"11345920\"] \n  5 -> 21 [size =\"11345920\"]\n  5 -> 22 [size =\"11345920\"]\n  5 -> 25 [size =\"11345920\"]\n  5 -> 30 [size =\"11345920\"]\n  5 -> 30 [size =\"11345920\"]\n  6 [size=\"51329024\", alpha=\"0.17\", expect_size=\"25664512\"] \n  6 -> 25 [size =\"25664512\"]\n  6 -> 26 [size =\"25664512\"]\n  7 [size=\"102457344\", alpha=\"0.10\", expect_size=\"51228672\"] \n  8 [size=\"67252224\", alpha=\"0.10\", expect_size=\"33626112\"] \n  8 -> 21 [size =\"33626112\"]\n  8 -> 22 [size =\"33626112\"]\n  8 -> 26 [size =\"33626112\"]\n  8 -> 28 [size =\"33626112\"]\n  9 [size=\"93595648\", alpha=\"0.10\", expect_size=\"46797824\"] \n  9 -> 21 [size =\"46797824\"]\n  9 -> 22 [size =\"46797824\"]\n  9 -> 28 [size =\"46797824\"]\n  10 [size=\"31387648\", alpha=\"0.00\", expect_size=\"15693824\"] \n  10 -> 21 [size =\"15693824\"]\n  10 -> 22 [size =\"15693824\"]\n  11 [size=\"82636800\", alpha=\"0.06\", expect_size=\"41318400\"] \n  11 -> 21 [size =\"41318400\"]\n  11 -> 22 [size =\"41318400\"]\n  11 -> 24 [size =\"41318400\"]\n  11 -> 29 [size =\"41318400\"]\n  12 [size=\"59736064\", alpha=\"0.16\", expect_size=\"29868032\"] \n  12 -> 22 [size =\"29868032\"]\n  12 -> 23 [size =\"29868032\"]\n  12 -> 24 [size =\"29868032\"]\n  12 -> 28 [size =\"29868032\"]\n  12 -> 29 [size =\"29868032\"]\n  13 [size=\"51318784\", alpha=\"0.07\", expect_size=\"25659392\"] \n  13 -> 24 [size =\"25659392\"]\n  13 -> 25 [size =\"25659392\"]\n  13 -> 26 [size =\"25659392\"]\n  13 -> 28 [size =\"25659392\"]\n  13 -> 29 [size =\"25659392\"]\n  14 [size=\"91852800\", alpha=\"0.07\", expect_size=\"45926400\"] \n  14 -> 21 [size =\"45926400\"]\n  14 -> 23 [size =\"45926400\"]\n  14 -> 24 [size =\"45926400\"]\n  14 -> 25 [size =\"45926400\"]\n  14 -> 26 [size =\"45926400\"]\n  14 -> 29 [size =\"45926400\"]\n  14 -> 30 [size =\"45926400\"]\n  15 [size=\"100888576\", alpha=\"0.20\", expect_size=\"50444288\"] \n  15 -> 21 [size =\"50444288\"]\n  15 -> 23 [size =\"50444288\"]\n  15 -> 29 [size =\"50444288\"]\n  15 -> 30 [size =\"50444288\"]\n  16 [size=\"62676992\", alpha=\"0.03\", expect_size=\"31338496\"] \n  16 -> 21 [size =\"31338496\"]\n  16 -> 23 [size =\"31338496\"]\n  16 -> 27 [size =\"31338496\"]\n  16 -> 29 [size =\"31338496\"]\n  16 -> 30 [size =\"31338496\"]\n  17 [size=\"47044608\", alpha=\"0.19\", expect_size=\"23522304\"] \n  17 -> 21 [size =\"23522304\"]\n  17 -> 27 [size =\"23522304\"]\n  17 -> 29 [size =\"23522304\"]\n  18 [size=\"93978624\", alpha=\"0.20\", expect_size=\"46989312\"] \n  18 -> 21 [size =\"46989312\"]\n  18 -> 24 [size =\"46989312\"]\n  18 -> 28 [size =\"46989312\"]\n  18 -> 30 [size =\"46989312\"]\n  19 [size=\"46202880\", alpha=\"0.05\", expect_size=\"23101440\"] \n  19 -> 21 [size =\"23101440\"]\n  19 -> 22 [size =\"23101440\"]\n  19 -> 28 [size =\"23101440\"]\n  19 -> 30 [size =\"23101440\"]\n  20 [size=\"95250432\", alpha=\"0.10\", expect_size=\"47625216\"] \n  20 -> 28 [size =\"47625216\"]\n  20 -> 29 [size =\"47625216\"]\n  20 -> 30 [size =\"47625216\"]\n  21 [size=\"95330304\", alpha=\"0.02\", expect_size=\"47665152\"] \n  22 [size=\"29784064\", alpha=\"0.03\", expect_size=\"14892032\"] \n  23 [size=\"12736512\", alpha=\"0.02\", expect_size=\"6368256\"] \n  24 [size=\"45613056\", alpha=\"0.05\", expect_size=\"22806528\"] \n  25 [size=\"78168064\", alpha=\"0.10\", expect_size=\"39084032\"] \n  26 [size=\"76673024\", alpha=\"0.04\", expect_size=\"38336512\"] \n  27 [size=\"91488256\", alpha=\"0.17\", expect_size=\"45744128\"] \n  28 [size=\"85504000\", alpha=\"0.02\", expect_size=\"42752000\"] \n  29 [size=\"84068352\", alpha=\"0.05\", expect_size=\"42034176\"] \n  30 [size=\"11567104\", alpha=\"0.13\", expect_size=\"5783552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69787648\", alpha=\"0.05\", expect_size=\"34893824\"] \n  1 -> 7 [size =\"34893824\"]\n  1 -> 9 [size =\"34893824\"]\n  2 [size=\"59662336\", alpha=\"0.00\", expect_size=\"29831168\"] \n  2 -> 7 [size =\"29831168\"]\n  2 -> 10 [size =\"29831168\"]\n  2 -> 13 [size =\"29831168\"]\n  3 [size=\"18913280\", alpha=\"0.10\", expect_size=\"9456640\"] \n  3 -> 6 [size =\"9456640\"]\n  3 -> 8 [size =\"9456640\"]\n  3 -> 9 [size =\"9456640\"]\n  3 -> 10 [size =\"9456640\"]\n  3 -> 12 [size =\"9456640\"]\n  3 -> 13 [size =\"9456640\"]\n  4 [size=\"33902592\", alpha=\"0.18\", expect_size=\"16951296\"] \n  4 -> 6 [size =\"16951296\"]\n  4 -> 7 [size =\"16951296\"]\n  4 -> 8 [size =\"16951296\"]\n  4 -> 10 [size =\"16951296\"]\n  4 -> 11 [size =\"16951296\"]\n  5 [size=\"39786496\", alpha=\"0.15\", expect_size=\"19893248\"] \n  5 -> 6 [size =\"19893248\"]\n  6 [size=\"91174912\", alpha=\"0.02\", expect_size=\"45587456\"] \n  6 -> 15 [size =\"45587456\"]\n  6 -> 16 [size =\"45587456\"]\n  6 -> 17 [size =\"45587456\"]\n  6 -> 20 [size =\"45587456\"]\n  6 -> 22 [size =\"45587456\"]\n  6 -> 24 [size =\"45587456\"]\n  6 -> 25 [size =\"45587456\"]\n  7 [size=\"76345344\", alpha=\"0.09\", expect_size=\"38172672\"] \n  7 -> 15 [size =\"38172672\"]\n  7 -> 16 [size =\"38172672\"]\n  7 -> 17 [size =\"38172672\"]\n  7 -> 19 [size =\"38172672\"]\n  7 -> 20 [size =\"38172672\"]\n  7 -> 21 [size =\"38172672\"]\n  7 -> 26 [size =\"38172672\"]\n  8 [size=\"98328576\", alpha=\"0.20\", expect_size=\"49164288\"] \n  8 -> 15 [size =\"49164288\"]\n  8 -> 16 [size =\"49164288\"]\n  8 -> 20 [size =\"49164288\"]\n  8 -> 21 [size =\"49164288\"]\n  9 [size=\"46202880\", alpha=\"0.16\", expect_size=\"23101440\"] \n  9 -> 14 [size =\"23101440\"]\n  9 -> 22 [size =\"23101440\"]\n  9 -> 26 [size =\"23101440\"]\n  10 [size=\"55134208\", alpha=\"0.13\", expect_size=\"27567104\"] \n  10 -> 21 [size =\"27567104\"]\n  10 -> 26 [size =\"27567104\"]\n  11 [size=\"41308160\", alpha=\"0.15\", expect_size=\"20654080\"] \n  11 -> 17 [size =\"20654080\"]\n  11 -> 18 [size =\"20654080\"]\n  11 -> 19 [size =\"20654080\"]\n  11 -> 22 [size =\"20654080\"]\n  12 [size=\"65298432\", alpha=\"0.16\", expect_size=\"32649216\"] \n  12 -> 16 [size =\"32649216\"]\n  12 -> 17 [size =\"32649216\"]\n  12 -> 18 [size =\"32649216\"]\n  12 -> 19 [size =\"32649216\"]\n  12 -> 20 [size =\"32649216\"]\n  12 -> 21 [size =\"32649216\"]\n  12 -> 24 [size =\"32649216\"]\n  12 -> 25 [size =\"32649216\"]\n  13 [size=\"66400256\", alpha=\"0.09\", expect_size=\"33200128\"] \n  13 -> 15 [size =\"33200128\"]\n  13 -> 16 [size =\"33200128\"]\n  13 -> 19 [size =\"33200128\"]\n  13 -> 20 [size =\"33200128\"]\n  13 -> 23 [size =\"33200128\"]\n  13 -> 24 [size =\"33200128\"]\n  14 [size=\"20862976\", alpha=\"0.06\", expect_size=\"10431488\"] \n  14 -> 27 [size =\"10431488\"]\n  14 -> 29 [size =\"10431488\"]\n  14 -> 30 [size =\"10431488\"]\n  15 [size=\"103753728\", alpha=\"0.14\", expect_size=\"51876864\"] \n  16 [size=\"79050752\", alpha=\"0.18\", expect_size=\"39525376\"] \n  16 -> 27 [size =\"39525376\"]\n  17 [size=\"86337536\", alpha=\"0.16\", expect_size=\"43168768\"] \n  17 -> 27 [size =\"43168768\"]\n  17 -> 28 [size =\"43168768\"]\n  18 [size=\"33548288\", alpha=\"0.08\", expect_size=\"16774144\"] \n  19 [size=\"31578112\", alpha=\"0.12\", expect_size=\"15789056\"] \n  19 -> 27 [size =\"15789056\"]\n  20 [size=\"13443072\", alpha=\"0.03\", expect_size=\"6721536\"] \n  20 -> 27 [size =\"6721536\"]\n  20 -> 28 [size =\"6721536\"]\n  20 -> 30 [size =\"6721536\"]\n  21 [size=\"74618880\", alpha=\"0.06\", expect_size=\"37309440\"] \n  21 -> 28 [size =\"37309440\"]\n  22 [size=\"48943104\", alpha=\"0.01\", expect_size=\"24471552\"] \n  23 [size=\"28919808\", alpha=\"0.16\", expect_size=\"14459904\"] \n  24 [size=\"72579072\", alpha=\"0.17\", expect_size=\"36289536\"] \n  25 [size=\"99938304\", alpha=\"0.04\", expect_size=\"49969152\"] \n  25 -> 28 [size =\"49969152\"]\n  26 [size=\"71884800\", alpha=\"0.08\", expect_size=\"35942400\"] \n  26 -> 28 [size =\"35942400\"]\n  27 [size=\"63238144\", alpha=\"0.07\", expect_size=\"31619072\"] \n  28 [size=\"46045184\", alpha=\"0.03\", expect_size=\"23022592\"] \n  29 [size=\"85667840\", alpha=\"0.08\", expect_size=\"42833920\"] \n  30 [size=\"46592000\", alpha=\"0.01\", expect_size=\"23296000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87319040\", alpha=\"0.15\", expect_size=\"34927616\"] \n  1 -> 11 [size =\"34927616\"]\n  1 -> 14 [size =\"34927616\"]\n  1 -> 17 [size =\"34927616\"]\n  1 -> 19 [size =\"34927616\"]\n  2 [size=\"13729280\", alpha=\"0.04\", expect_size=\"5491712\"] \n  2 -> 11 [size =\"5491712\"]\n  2 -> 16 [size =\"5491712\"]\n  2 -> 17 [size =\"5491712\"]\n  2 -> 18 [size =\"5491712\"]\n  2 -> 19 [size =\"5491712\"]\n  3 [size=\"66631680\", alpha=\"0.06\", expect_size=\"26652672\"] \n  3 -> 11 [size =\"26652672\"]\n  3 -> 13 [size =\"26652672\"]\n  3 -> 17 [size =\"26652672\"]\n  3 -> 18 [size =\"26652672\"]\n  4 [size=\"96343040\", alpha=\"0.01\", expect_size=\"38537216\"] \n  4 -> 15 [size =\"38537216\"]\n  4 -> 18 [size =\"38537216\"]\n  5 [size=\"68067840\", alpha=\"0.01\", expect_size=\"27227136\"] \n  5 -> 12 [size =\"27227136\"]\n  5 -> 15 [size =\"27227136\"]\n  5 -> 17 [size =\"27227136\"]\n  5 -> 18 [size =\"27227136\"]\n  6 [size=\"91806720\", alpha=\"0.08\", expect_size=\"36722688\"] \n  6 -> 11 [size =\"36722688\"]\n  6 -> 12 [size =\"36722688\"]\n  6 -> 14 [size =\"36722688\"]\n  6 -> 15 [size =\"36722688\"]\n  6 -> 18 [size =\"36722688\"]\n  6 -> 19 [size =\"36722688\"]\n  7 [size=\"120924160\", alpha=\"0.10\", expect_size=\"48369664\"] \n  7 -> 11 [size =\"48369664\"]\n  7 -> 13 [size =\"48369664\"]\n  7 -> 14 [size =\"48369664\"]\n  7 -> 15 [size =\"48369664\"]\n  8 [size=\"68034560\", alpha=\"0.03\", expect_size=\"27213824\"] \n  8 -> 14 [size =\"27213824\"]\n  8 -> 19 [size =\"27213824\"]\n  9 [size=\"98129920\", alpha=\"0.01\", expect_size=\"39251968\"] \n  9 -> 12 [size =\"39251968\"]\n  9 -> 14 [size =\"39251968\"]\n  9 -> 15 [size =\"39251968\"]\n  9 -> 19 [size =\"39251968\"]\n  10 [size=\"62871040\", alpha=\"0.09\", expect_size=\"25148416\"] \n  10 -> 11 [size =\"25148416\"]\n  10 -> 12 [size =\"25148416\"]\n  10 -> 14 [size =\"25148416\"]\n  10 -> 15 [size =\"25148416\"]\n  10 -> 16 [size =\"25148416\"]\n  10 -> 17 [size =\"25148416\"]\n  10 -> 19 [size =\"25148416\"]\n  11 [size=\"115804160\", alpha=\"0.17\", expect_size=\"46321664\"] \n  11 -> 24 [size =\"46321664\"]\n  11 -> 28 [size =\"46321664\"]\n  12 [size=\"85209600\", alpha=\"0.18\", expect_size=\"34083840\"] \n  12 -> 20 [size =\"34083840\"]\n  12 -> 21 [size =\"34083840\"]\n  12 -> 23 [size =\"34083840\"]\n  12 -> 24 [size =\"34083840\"]\n  13 [size=\"109276160\", alpha=\"0.18\", expect_size=\"43710464\"] \n  13 -> 20 [size =\"43710464\"]\n  13 -> 21 [size =\"43710464\"]\n  13 -> 22 [size =\"43710464\"]\n  13 -> 26 [size =\"43710464\"]\n  13 -> 27 [size =\"43710464\"]\n  14 [size=\"27412480\", alpha=\"0.10\", expect_size=\"10964992\"] \n  14 -> 20 [size =\"10964992\"]\n  14 -> 24 [size =\"10964992\"]\n  14 -> 28 [size =\"10964992\"]\n  15 [size=\"35276800\", alpha=\"0.09\", expect_size=\"14110720\"] \n  15 -> 20 [size =\"14110720\"]\n  15 -> 28 [size =\"14110720\"]\n  16 [size=\"43443200\", alpha=\"0.02\", expect_size=\"17377280\"] \n  16 -> 21 [size =\"17377280\"]\n  16 -> 22 [size =\"17377280\"]\n  16 -> 24 [size =\"17377280\"]\n  16 -> 25 [size =\"17377280\"]\n  16 -> 27 [size =\"17377280\"]\n  16 -> 28 [size =\"17377280\"]\n  17 [size=\"90634240\", alpha=\"0.19\", expect_size=\"36253696\"] \n  17 -> 23 [size =\"36253696\"]\n  17 -> 25 [size =\"36253696\"]\n  17 -> 27 [size =\"36253696\"]\n  18 [size=\"34216960\", alpha=\"0.15\", expect_size=\"13686784\"] \n  18 -> 20 [size =\"13686784\"]\n  18 -> 25 [size =\"13686784\"]\n  18 -> 27 [size =\"13686784\"]\n  19 [size=\"52520960\", alpha=\"0.13\", expect_size=\"21008384\"] \n  19 -> 22 [size =\"21008384\"]\n  19 -> 23 [size =\"21008384\"]\n  19 -> 28 [size =\"21008384\"]\n  20 [size=\"57543680\", alpha=\"0.18\", expect_size=\"23017472\"] \n  21 [size=\"112220160\", alpha=\"0.15\", expect_size=\"44888064\"] \n  22 [size=\"93468160\", alpha=\"0.12\", expect_size=\"37387264\"] \n  22 -> 29 [size =\"37387264\"]\n  23 [size=\"80668160\", alpha=\"0.19\", expect_size=\"32267264\"] \n  23 -> 29 [size =\"32267264\"]\n  23 -> 30 [size =\"32267264\"]\n  24 [size=\"66531840\", alpha=\"0.20\", expect_size=\"26612736\"] \n  24 -> 29 [size =\"26612736\"]\n  25 [size=\"125542400\", alpha=\"0.10\", expect_size=\"50216960\"] \n  25 -> 29 [size =\"50216960\"]\n  26 [size=\"63073280\", alpha=\"0.13\", expect_size=\"25229312\"] \n  26 -> 29 [size =\"25229312\"]\n  27 [size=\"74895360\", alpha=\"0.14\", expect_size=\"29958144\"] \n  27 -> 30 [size =\"29958144\"]\n  28 [size=\"69747200\", alpha=\"0.05\", expect_size=\"27898880\"] \n  28 -> 29 [size =\"27898880\"]\n  28 -> 30 [size =\"27898880\"]\n  29 [size=\"42754560\", alpha=\"0.11\", expect_size=\"17101824\"] \n  30 [size=\"117967360\", alpha=\"0.04\", expect_size=\"47186944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145633280\", alpha=\"0.20\", expect_size=\"43689984\"] \n  1 -> 2 [size =\"43689984\"]\n  2 [size=\"83285333\", alpha=\"0.11\", expect_size=\"24985600\"] \n  2 -> 3 [size =\"24985600\"]\n  3 [size=\"80189440\", alpha=\"0.15\", expect_size=\"24056832\"] \n  3 -> 4 [size =\"24056832\"]\n  4 [size=\"145677653\", alpha=\"0.16\", expect_size=\"43703296\"] \n  4 -> 5 [size =\"43703296\"]\n  5 [size=\"159385600\", alpha=\"0.02\", expect_size=\"47815680\"] \n  5 -> 6 [size =\"47815680\"]\n  6 [size=\"153190400\", alpha=\"0.05\", expect_size=\"45957120\"] \n  6 -> 7 [size =\"45957120\"]\n  6 -> 8 [size =\"45957120\"]\n  7 [size=\"54251520\", alpha=\"0.02\", expect_size=\"16275456\"] \n  7 -> 9 [size =\"16275456\"]\n  8 [size=\"70905173\", alpha=\"0.14\", expect_size=\"21271552\"] \n  9 [size=\"68198400\", alpha=\"0.04\", expect_size=\"20459520\"] \n  9 -> 10 [size =\"20459520\"]\n  10 [size=\"139311787\", alpha=\"0.19\", expect_size=\"41793536\"] \n  10 -> 11 [size =\"41793536\"]\n  11 [size=\"61385387\", alpha=\"0.11\", expect_size=\"18415616\"] \n  11 -> 12 [size =\"18415616\"]\n  12 [size=\"57688747\", alpha=\"0.16\", expect_size=\"17306624\"] \n  12 -> 13 [size =\"17306624\"]\n  12 -> 14 [size =\"17306624\"]\n  13 [size=\"142800213\", alpha=\"0.05\", expect_size=\"42840064\"] \n  13 -> 15 [size =\"42840064\"]\n  14 [size=\"106455040\", alpha=\"0.19\", expect_size=\"31936512\"] \n  15 [size=\"74100053\", alpha=\"0.03\", expect_size=\"22230016\"] \n  15 -> 16 [size =\"22230016\"]\n  16 [size=\"91794773\", alpha=\"0.08\", expect_size=\"27538432\"] \n  16 -> 17 [size =\"27538432\"]\n  16 -> 18 [size =\"27538432\"]\n  17 [size=\"134707200\", alpha=\"0.03\", expect_size=\"40412160\"] \n  17 -> 19 [size =\"40412160\"]\n  18 [size=\"147916800\", alpha=\"0.04\", expect_size=\"44375040\"] \n  18 -> 20 [size =\"44375040\"]\n  19 [size=\"98484907\", alpha=\"0.02\", expect_size=\"29545472\"] \n  20 [size=\"127204693\", alpha=\"0.19\", expect_size=\"38161408\"] \n  20 -> 21 [size =\"38161408\"]\n  20 -> 22 [size =\"38161408\"]\n  21 [size=\"120104960\", alpha=\"0.13\", expect_size=\"36031488\"] \n  21 -> 23 [size =\"36031488\"]\n  22 [size=\"49401173\", alpha=\"0.15\", expect_size=\"14820352\"] \n  23 [size=\"172311893\", alpha=\"0.05\", expect_size=\"51693568\"] \n  23 -> 24 [size =\"51693568\"]\n  24 [size=\"57695573\", alpha=\"0.11\", expect_size=\"17308672\"] \n  24 -> 25 [size =\"17308672\"]\n  24 -> 26 [size =\"17308672\"]\n  25 [size=\"51179520\", alpha=\"0.16\", expect_size=\"15353856\"] \n  25 -> 27 [size =\"15353856\"]\n  26 [size=\"73461760\", alpha=\"0.17\", expect_size=\"22038528\"] \n  26 -> 28 [size =\"22038528\"]\n  27 [size=\"139274240\", alpha=\"0.03\", expect_size=\"41782272\"] \n  28 [size=\"165338453\", alpha=\"0.16\", expect_size=\"49601536\"] \n  28 -> 29 [size =\"49601536\"]\n  28 -> 30 [size =\"49601536\"]\n  29 [size=\"42584747\", alpha=\"0.16\", expect_size=\"12775424\"] \n  30 [size=\"58204160\", alpha=\"0.11\", expect_size=\"17461248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55955456\", alpha=\"0.02\", expect_size=\"27977728\"] \n  1 -> 2 [size =\"27977728\"]\n  2 [size=\"67893248\", alpha=\"0.20\", expect_size=\"33946624\"] \n  2 -> 3 [size =\"33946624\"]\n  3 [size=\"91940864\", alpha=\"0.13\", expect_size=\"45970432\"] \n  3 -> 4 [size =\"45970432\"]\n  4 [size=\"22599680\", alpha=\"0.13\", expect_size=\"11299840\"] \n  4 -> 5 [size =\"11299840\"]\n  5 [size=\"81833984\", alpha=\"0.11\", expect_size=\"40916992\"] \n  5 -> 6 [size =\"40916992\"]\n  6 [size=\"41844736\", alpha=\"0.04\", expect_size=\"20922368\"] \n  6 -> 7 [size =\"20922368\"]\n  7 [size=\"43261952\", alpha=\"0.00\", expect_size=\"21630976\"] \n  7 -> 8 [size =\"21630976\"]\n  8 [size=\"81444864\", alpha=\"0.15\", expect_size=\"40722432\"] \n  8 -> 9 [size =\"40722432\"]\n  9 [size=\"17567744\", alpha=\"0.02\", expect_size=\"8783872\"] \n  9 -> 10 [size =\"8783872\"]\n  10 [size=\"77303808\", alpha=\"0.03\", expect_size=\"38651904\"] \n  10 -> 11 [size =\"38651904\"]\n  11 [size=\"86437888\", alpha=\"0.17\", expect_size=\"43218944\"] \n  11 -> 12 [size =\"43218944\"]\n  12 [size=\"97437696\", alpha=\"0.16\", expect_size=\"48718848\"] \n  12 -> 13 [size =\"48718848\"]\n  13 [size=\"95170560\", alpha=\"0.18\", expect_size=\"47585280\"] \n  13 -> 14 [size =\"47585280\"]\n  14 [size=\"62560256\", alpha=\"0.10\", expect_size=\"31280128\"] \n  14 -> 15 [size =\"31280128\"]\n  15 [size=\"28385280\", alpha=\"0.11\", expect_size=\"14192640\"] \n  15 -> 16 [size =\"14192640\"]\n  16 [size=\"79421440\", alpha=\"0.10\", expect_size=\"39710720\"] \n  16 -> 17 [size =\"39710720\"]\n  17 [size=\"100337664\", alpha=\"0.15\", expect_size=\"50168832\"] \n  17 -> 18 [size =\"50168832\"]\n  18 [size=\"102461440\", alpha=\"0.02\", expect_size=\"51230720\"] \n  18 -> 19 [size =\"51230720\"]\n  19 [size=\"77131776\", alpha=\"0.18\", expect_size=\"38565888\"] \n  19 -> 20 [size =\"38565888\"]\n  20 [size=\"86128640\", alpha=\"0.02\", expect_size=\"43064320\"] \n  20 -> 21 [size =\"43064320\"]\n  21 [size=\"101554176\", alpha=\"0.16\", expect_size=\"50777088\"] \n  21 -> 22 [size =\"50777088\"]\n  22 [size=\"88514560\", alpha=\"0.02\", expect_size=\"44257280\"] \n  22 -> 23 [size =\"44257280\"]\n  23 [size=\"68139008\", alpha=\"0.05\", expect_size=\"34069504\"] \n  23 -> 24 [size =\"34069504\"]\n  24 [size=\"57274368\", alpha=\"0.11\", expect_size=\"28637184\"] \n  24 -> 25 [size =\"28637184\"]\n  25 [size=\"12062720\", alpha=\"0.12\", expect_size=\"6031360\"] \n  25 -> 26 [size =\"6031360\"]\n  26 [size=\"64854016\", alpha=\"0.19\", expect_size=\"32427008\"] \n  26 -> 27 [size =\"32427008\"]\n  27 [size=\"16967680\", alpha=\"0.14\", expect_size=\"8483840\"] \n  27 -> 28 [size =\"8483840\"]\n  28 [size=\"88262656\", alpha=\"0.03\", expect_size=\"44131328\"] \n  28 -> 29 [size =\"44131328\"]\n  29 [size=\"99655680\", alpha=\"0.14\", expect_size=\"49827840\"] \n  29 -> 30 [size =\"49827840\"]\n  30 [size=\"91037696\", alpha=\"0.19\", expect_size=\"45518848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156112213\", alpha=\"0.10\", expect_size=\"46833664\"] \n  1 -> 5 [size =\"46833664\"]\n  1 -> 7 [size =\"46833664\"]\n  1 -> 8 [size =\"46833664\"]\n  2 [size=\"168096427\", alpha=\"0.10\", expect_size=\"50428928\"] \n  2 -> 6 [size =\"50428928\"]\n  2 -> 8 [size =\"50428928\"]\n  3 [size=\"27975680\", alpha=\"0.01\", expect_size=\"8392704\"] \n  3 -> 5 [size =\"8392704\"]\n  3 -> 8 [size =\"8392704\"]\n  4 [size=\"104325120\", alpha=\"0.13\", expect_size=\"31297536\"] \n  4 -> 5 [size =\"31297536\"]\n  4 -> 8 [size =\"31297536\"]\n  5 [size=\"105472000\", alpha=\"0.02\", expect_size=\"31641600\"] \n  5 -> 9 [size =\"31641600\"]\n  5 -> 10 [size =\"31641600\"]\n  5 -> 11 [size =\"31641600\"]\n  6 [size=\"108288000\", alpha=\"0.07\", expect_size=\"32486400\"] \n  6 -> 10 [size =\"32486400\"]\n  6 -> 11 [size =\"32486400\"]\n  6 -> 12 [size =\"32486400\"]\n  7 [size=\"106598400\", alpha=\"0.15\", expect_size=\"31979520\"] \n  7 -> 10 [size =\"31979520\"]\n  7 -> 11 [size =\"31979520\"]\n  7 -> 12 [size =\"31979520\"]\n  8 [size=\"55391573\", alpha=\"0.02\", expect_size=\"16617472\"] \n  8 -> 10 [size =\"16617472\"]\n  9 [size=\"110257493\", alpha=\"0.20\", expect_size=\"33077248\"] \n  9 -> 13 [size =\"33077248\"]\n  9 -> 14 [size =\"33077248\"]\n  9 -> 16 [size =\"33077248\"]\n  9 -> 17 [size =\"33077248\"]\n  10 [size=\"146578773\", alpha=\"0.08\", expect_size=\"43973632\"] \n  10 -> 13 [size =\"43973632\"]\n  10 -> 14 [size =\"43973632\"]\n  10 -> 16 [size =\"43973632\"]\n  10 -> 17 [size =\"43973632\"]\n  11 [size=\"32167253\", alpha=\"0.12\", expect_size=\"9650176\"] \n  11 -> 13 [size =\"9650176\"]\n  11 -> 15 [size =\"9650176\"]\n  11 -> 16 [size =\"9650176\"]\n  12 [size=\"111933440\", alpha=\"0.16\", expect_size=\"33580032\"] \n  12 -> 13 [size =\"33580032\"]\n  12 -> 16 [size =\"33580032\"]\n  13 [size=\"35215360\", alpha=\"0.03\", expect_size=\"10564608\"] \n  13 -> 18 [size =\"10564608\"]\n  13 -> 19 [size =\"10564608\"]\n  13 -> 20 [size =\"10564608\"]\n  13 -> 21 [size =\"10564608\"]\n  14 [size=\"43212800\", alpha=\"0.07\", expect_size=\"12963840\"] \n  14 -> 18 [size =\"12963840\"]\n  14 -> 19 [size =\"12963840\"]\n  14 -> 20 [size =\"12963840\"]\n  14 -> 21 [size =\"12963840\"]\n  15 [size=\"142735360\", alpha=\"0.02\", expect_size=\"42820608\"] \n  15 -> 20 [size =\"42820608\"]\n  16 [size=\"162317653\", alpha=\"0.09\", expect_size=\"48695296\"] \n  16 -> 18 [size =\"48695296\"]\n  16 -> 19 [size =\"48695296\"]\n  16 -> 20 [size =\"48695296\"]\n  16 -> 21 [size =\"48695296\"]\n  17 [size=\"57579520\", alpha=\"0.06\", expect_size=\"17273856\"] \n  17 -> 19 [size =\"17273856\"]\n  17 -> 20 [size =\"17273856\"]\n  17 -> 21 [size =\"17273856\"]\n  17 -> 21 [size =\"17273856\"]\n  18 [size=\"20978347\", alpha=\"0.01\", expect_size=\"6293504\"] \n  18 -> 23 [size =\"6293504\"]\n  18 -> 24 [size =\"6293504\"]\n  19 [size=\"39393280\", alpha=\"0.20\", expect_size=\"11817984\"] \n  19 -> 22 [size =\"11817984\"]\n  19 -> 24 [size =\"11817984\"]\n  19 -> 25 [size =\"11817984\"]\n  20 [size=\"36969813\", alpha=\"0.03\", expect_size=\"11090944\"] \n  20 -> 24 [size =\"11090944\"]\n  20 -> 25 [size =\"11090944\"]\n  21 [size=\"98191360\", alpha=\"0.04\", expect_size=\"29457408\"] \n  21 -> 22 [size =\"29457408\"]\n  21 -> 23 [size =\"29457408\"]\n  21 -> 24 [size =\"29457408\"]\n  22 [size=\"35089067\", alpha=\"0.04\", expect_size=\"10526720\"] \n  22 -> 26 [size =\"10526720\"]\n  22 -> 28 [size =\"10526720\"]\n  22 -> 29 [size =\"10526720\"]\n  23 [size=\"162474667\", alpha=\"0.06\", expect_size=\"48742400\"] \n  23 -> 28 [size =\"48742400\"]\n  23 -> 29 [size =\"48742400\"]\n  24 [size=\"25815040\", alpha=\"0.19\", expect_size=\"7744512\"] \n  24 -> 27 [size =\"7744512\"]\n  24 -> 28 [size =\"7744512\"]\n  25 [size=\"81844907\", alpha=\"0.02\", expect_size=\"24553472\"] \n  25 -> 28 [size =\"24553472\"]\n  26 [size=\"94085120\", alpha=\"0.18\", expect_size=\"28225536\"] \n  26 -> 30 [size =\"28225536\"]\n  27 [size=\"168458240\", alpha=\"0.04\", expect_size=\"50537472\"] \n  27 -> 30 [size =\"50537472\"]\n  28 [size=\"57729707\", alpha=\"0.16\", expect_size=\"17318912\"] \n  28 -> 30 [size =\"17318912\"]\n  29 [size=\"62259200\", alpha=\"0.19\", expect_size=\"18677760\"] \n  29 -> 30 [size =\"18677760\"]\n  30 [size=\"61794987\", alpha=\"0.18\", expect_size=\"18538496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92354560\", alpha=\"0.11\", expect_size=\"27706368\"] \n  1 -> 2 [size =\"27706368\"]\n  2 [size=\"67669333\", alpha=\"0.13\", expect_size=\"20300800\"] \n  2 -> 3 [size =\"20300800\"]\n  3 [size=\"90538667\", alpha=\"0.01\", expect_size=\"27161600\"] \n  3 -> 4 [size =\"27161600\"]\n  4 [size=\"89924267\", alpha=\"0.01\", expect_size=\"26977280\"] \n  4 -> 5 [size =\"26977280\"]\n  5 [size=\"134925653\", alpha=\"0.14\", expect_size=\"40477696\"] \n  5 -> 6 [size =\"40477696\"]\n  6 [size=\"143711573\", alpha=\"0.12\", expect_size=\"43113472\"] \n  6 -> 7 [size =\"43113472\"]\n  7 [size=\"157576533\", alpha=\"0.02\", expect_size=\"47272960\"] \n  7 -> 8 [size =\"47272960\"]\n  8 [size=\"112510293\", alpha=\"0.13\", expect_size=\"33753088\"] \n  8 -> 9 [size =\"33753088\"]\n  9 [size=\"164597760\", alpha=\"0.19\", expect_size=\"49379328\"] \n  9 -> 10 [size =\"49379328\"]\n  10 [size=\"164672853\", alpha=\"0.18\", expect_size=\"49401856\"] \n  10 -> 11 [size =\"49401856\"]\n  11 [size=\"146804053\", alpha=\"0.09\", expect_size=\"44041216\"] \n  11 -> 12 [size =\"44041216\"]\n  12 [size=\"78441813\", alpha=\"0.20\", expect_size=\"23532544\"] \n  12 -> 13 [size =\"23532544\"]\n  13 [size=\"26395307\", alpha=\"0.13\", expect_size=\"7918592\"] \n  13 -> 14 [size =\"7918592\"]\n  14 [size=\"32279893\", alpha=\"0.15\", expect_size=\"9683968\"] \n  14 -> 15 [size =\"9683968\"]\n  15 [size=\"43318613\", alpha=\"0.06\", expect_size=\"12995584\"] \n  15 -> 16 [size =\"12995584\"]\n  16 [size=\"152449707\", alpha=\"0.03\", expect_size=\"45734912\"] \n  16 -> 17 [size =\"45734912\"]\n  17 [size=\"92235093\", alpha=\"0.12\", expect_size=\"27670528\"] \n  17 -> 18 [size =\"27670528\"]\n  18 [size=\"105512960\", alpha=\"0.07\", expect_size=\"31653888\"] \n  18 -> 19 [size =\"31653888\"]\n  19 [size=\"46865067\", alpha=\"0.20\", expect_size=\"14059520\"] \n  19 -> 20 [size =\"14059520\"]\n  20 [size=\"36556800\", alpha=\"0.07\", expect_size=\"10967040\"] \n  20 -> 21 [size =\"10967040\"]\n  21 [size=\"21401600\", alpha=\"0.04\", expect_size=\"6420480\"] \n  21 -> 22 [size =\"6420480\"]\n  22 [size=\"90903893\", alpha=\"0.07\", expect_size=\"27271168\"] \n  22 -> 23 [size =\"27271168\"]\n  23 [size=\"89432747\", alpha=\"0.20\", expect_size=\"26829824\"] \n  23 -> 24 [size =\"26829824\"]\n  24 [size=\"37406720\", alpha=\"0.01\", expect_size=\"11222016\"] \n  24 -> 25 [size =\"11222016\"]\n  25 [size=\"152289280\", alpha=\"0.18\", expect_size=\"45686784\"] \n  25 -> 26 [size =\"45686784\"]\n  26 [size=\"43663360\", alpha=\"0.11\", expect_size=\"13099008\"] \n  26 -> 27 [size =\"13099008\"]\n  27 [size=\"64686080\", alpha=\"0.01\", expect_size=\"19405824\"] \n  27 -> 28 [size =\"19405824\"]\n  28 [size=\"155129173\", alpha=\"0.04\", expect_size=\"46538752\"] \n  28 -> 29 [size =\"46538752\"]\n  29 [size=\"53381120\", alpha=\"0.05\", expect_size=\"16014336\"] \n  29 -> 30 [size =\"16014336\"]\n  30 [size=\"52316160\", alpha=\"0.05\", expect_size=\"15694848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91531947\", alpha=\"0.17\", expect_size=\"27459584\"] \n  1 -> 17 [size =\"27459584\"]\n  2 [size=\"168055467\", alpha=\"0.01\", expect_size=\"50416640\"] \n  2 -> 18 [size =\"50416640\"]\n  3 [size=\"104096427\", alpha=\"0.06\", expect_size=\"31228928\"] \n  3 -> 12 [size =\"31228928\"]\n  3 -> 17 [size =\"31228928\"]\n  4 [size=\"53067093\", alpha=\"0.03\", expect_size=\"15920128\"] \n  4 -> 12 [size =\"15920128\"]\n  4 -> 13 [size =\"15920128\"]\n  4 -> 18 [size =\"15920128\"]\n  5 [size=\"62423040\", alpha=\"0.10\", expect_size=\"18726912\"] \n  5 -> 12 [size =\"18726912\"]\n  5 -> 16 [size =\"18726912\"]\n  6 [size=\"63146667\", alpha=\"0.19\", expect_size=\"18944000\"] \n  6 -> 14 [size =\"18944000\"]\n  6 -> 18 [size =\"18944000\"]\n  7 [size=\"166608213\", alpha=\"0.06\", expect_size=\"49982464\"] \n  7 -> 12 [size =\"49982464\"]\n  7 -> 13 [size =\"49982464\"]\n  8 [size=\"59337387\", alpha=\"0.12\", expect_size=\"17801216\"] \n  8 -> 16 [size =\"17801216\"]\n  9 [size=\"120507733\", alpha=\"0.04\", expect_size=\"36152320\"] \n  9 -> 12 [size =\"36152320\"]\n  9 -> 16 [size =\"36152320\"]\n  10 [size=\"86920533\", alpha=\"0.13\", expect_size=\"26076160\"] \n  10 -> 12 [size =\"26076160\"]\n  10 -> 13 [size =\"26076160\"]\n  10 -> 14 [size =\"26076160\"]\n  10 -> 16 [size =\"26076160\"]\n  10 -> 17 [size =\"26076160\"]\n  10 -> 18 [size =\"26076160\"]\n  11 [size=\"32116053\", alpha=\"0.15\", expect_size=\"9634816\"] \n  11 -> 14 [size =\"9634816\"]\n  11 -> 15 [size =\"9634816\"]\n  11 -> 16 [size =\"9634816\"]\n  11 -> 18 [size =\"9634816\"]\n  12 [size=\"166266880\", alpha=\"0.07\", expect_size=\"49880064\"] \n  12 -> 22 [size =\"49880064\"]\n  13 [size=\"174615893\", alpha=\"0.19\", expect_size=\"52384768\"] \n  13 -> 19 [size =\"52384768\"]\n  13 -> 20 [size =\"52384768\"]\n  13 -> 23 [size =\"52384768\"]\n  13 -> 26 [size =\"52384768\"]\n  14 [size=\"67949227\", alpha=\"0.10\", expect_size=\"20384768\"] \n  14 -> 20 [size =\"20384768\"]\n  14 -> 21 [size =\"20384768\"]\n  14 -> 23 [size =\"20384768\"]\n  14 -> 25 [size =\"20384768\"]\n  14 -> 26 [size =\"20384768\"]\n  15 [size=\"94081707\", alpha=\"0.12\", expect_size=\"28224512\"] \n  15 -> 19 [size =\"28224512\"]\n  15 -> 20 [size =\"28224512\"]\n  15 -> 23 [size =\"28224512\"]\n  15 -> 25 [size =\"28224512\"]\n  16 [size=\"173571413\", alpha=\"0.09\", expect_size=\"52071424\"] \n  16 -> 20 [size =\"52071424\"]\n  16 -> 22 [size =\"52071424\"]\n  17 [size=\"165263360\", alpha=\"0.01\", expect_size=\"49579008\"] \n  17 -> 19 [size =\"49579008\"]\n  17 -> 22 [size =\"49579008\"]\n  17 -> 24 [size =\"49579008\"]\n  17 -> 27 [size =\"49579008\"]\n  18 [size=\"58845867\", alpha=\"0.09\", expect_size=\"17653760\"] \n  18 -> 22 [size =\"17653760\"]\n  19 [size=\"155849387\", alpha=\"0.09\", expect_size=\"46754816\"] \n  20 [size=\"31624533\", alpha=\"0.10\", expect_size=\"9487360\"] \n  20 -> 28 [size =\"9487360\"]\n  21 [size=\"135150933\", alpha=\"0.19\", expect_size=\"40545280\"] \n  21 -> 29 [size =\"40545280\"]\n  22 [size=\"94996480\", alpha=\"0.08\", expect_size=\"28498944\"] \n  22 -> 29 [size =\"28498944\"]\n  23 [size=\"150200320\", alpha=\"0.08\", expect_size=\"45060096\"] \n  23 -> 28 [size =\"45060096\"]\n  23 -> 30 [size =\"45060096\"]\n  24 [size=\"143861760\", alpha=\"0.12\", expect_size=\"43158528\"] \n  25 [size=\"64785067\", alpha=\"0.02\", expect_size=\"19435520\"] \n  26 [size=\"161030827\", alpha=\"0.18\", expect_size=\"48309248\"] \n  26 -> 28 [size =\"48309248\"]\n  26 -> 29 [size =\"48309248\"]\n  27 [size=\"77288107\", alpha=\"0.13\", expect_size=\"23186432\"] \n  28 [size=\"83227307\", alpha=\"0.13\", expect_size=\"24968192\"] \n  29 [size=\"154606933\", alpha=\"0.07\", expect_size=\"46382080\"] \n  30 [size=\"70171307\", alpha=\"0.09\", expect_size=\"21051392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88963072\", alpha=\"0.11\", expect_size=\"44481536\"] \n  1 -> 11 [size =\"44481536\"]\n  1 -> 12 [size =\"44481536\"]\n  1 -> 14 [size =\"44481536\"]\n  1 -> 17 [size =\"44481536\"]\n  2 [size=\"61315072\", alpha=\"0.14\", expect_size=\"30657536\"] \n  2 -> 11 [size =\"30657536\"]\n  3 [size=\"63250432\", alpha=\"0.12\", expect_size=\"31625216\"] \n  3 -> 11 [size =\"31625216\"]\n  3 -> 18 [size =\"31625216\"]\n  3 -> 19 [size =\"31625216\"]\n  4 [size=\"40419328\", alpha=\"0.01\", expect_size=\"20209664\"] \n  4 -> 12 [size =\"20209664\"]\n  4 -> 13 [size =\"20209664\"]\n  4 -> 18 [size =\"20209664\"]\n  5 [size=\"70305792\", alpha=\"0.08\", expect_size=\"35152896\"] \n  5 -> 12 [size =\"35152896\"]\n  6 [size=\"66734080\", alpha=\"0.11\", expect_size=\"33367040\"] \n  6 -> 13 [size =\"33367040\"]\n  6 -> 15 [size =\"33367040\"]\n  7 [size=\"89032704\", alpha=\"0.15\", expect_size=\"44516352\"] \n  7 -> 19 [size =\"44516352\"]\n  8 [size=\"29286400\", alpha=\"0.20\", expect_size=\"14643200\"] \n  8 -> 18 [size =\"14643200\"]\n  9 [size=\"86902784\", alpha=\"0.18\", expect_size=\"43451392\"] \n  9 -> 11 [size =\"43451392\"]\n  9 -> 16 [size =\"43451392\"]\n  10 [size=\"86663168\", alpha=\"0.19\", expect_size=\"43331584\"] \n  10 -> 20 [size =\"43331584\"]\n  11 [size=\"19187712\", alpha=\"0.10\", expect_size=\"9593856\"] \n  11 -> 21 [size =\"9593856\"]\n  11 -> 23 [size =\"9593856\"]\n  11 -> 24 [size =\"9593856\"]\n  11 -> 25 [size =\"9593856\"]\n  11 -> 26 [size =\"9593856\"]\n  11 -> 27 [size =\"9593856\"]\n  12 [size=\"72691712\", alpha=\"0.04\", expect_size=\"36345856\"] \n  12 -> 23 [size =\"36345856\"]\n  12 -> 27 [size =\"36345856\"]\n  13 [size=\"45606912\", alpha=\"0.02\", expect_size=\"22803456\"] \n  13 -> 27 [size =\"22803456\"]\n  13 -> 29 [size =\"22803456\"]\n  14 [size=\"103493632\", alpha=\"0.02\", expect_size=\"51746816\"] \n  14 -> 21 [size =\"51746816\"]\n  14 -> 26 [size =\"51746816\"]\n  15 [size=\"15949824\", alpha=\"0.05\", expect_size=\"7974912\"] \n  15 -> 29 [size =\"7974912\"]\n  16 [size=\"51482624\", alpha=\"0.15\", expect_size=\"25741312\"] \n  16 -> 24 [size =\"25741312\"]\n  16 -> 25 [size =\"25741312\"]\n  17 [size=\"102221824\", alpha=\"0.01\", expect_size=\"51110912\"] \n  17 -> 22 [size =\"51110912\"]\n  17 -> 23 [size =\"51110912\"]\n  17 -> 27 [size =\"51110912\"]\n  17 -> 29 [size =\"51110912\"]\n  18 [size=\"79706112\", alpha=\"0.17\", expect_size=\"39853056\"] \n  18 -> 23 [size =\"39853056\"]\n  18 -> 24 [size =\"39853056\"]\n  18 -> 26 [size =\"39853056\"]\n  18 -> 27 [size =\"39853056\"]\n  18 -> 28 [size =\"39853056\"]\n  18 -> 29 [size =\"39853056\"]\n  19 [size=\"78069760\", alpha=\"0.09\", expect_size=\"39034880\"] \n  19 -> 22 [size =\"39034880\"]\n  19 -> 25 [size =\"39034880\"]\n  20 [size=\"69816320\", alpha=\"0.18\", expect_size=\"34908160\"] \n  20 -> 25 [size =\"34908160\"]\n  20 -> 26 [size =\"34908160\"]\n  20 -> 28 [size =\"34908160\"]\n  21 [size=\"66064384\", alpha=\"0.03\", expect_size=\"33032192\"] \n  21 -> 30 [size =\"33032192\"]\n  22 [size=\"17149952\", alpha=\"0.19\", expect_size=\"8574976\"] \n  23 [size=\"35164160\", alpha=\"0.06\", expect_size=\"17582080\"] \n  24 [size=\"45903872\", alpha=\"0.20\", expect_size=\"22951936\"] \n  25 [size=\"57509888\", alpha=\"0.06\", expect_size=\"28754944\"] \n  26 [size=\"81313792\", alpha=\"0.04\", expect_size=\"40656896\"] \n  27 [size=\"56385536\", alpha=\"0.19\", expect_size=\"28192768\"] \n  28 [size=\"59035648\", alpha=\"0.18\", expect_size=\"29517824\"] \n  29 [size=\"43870208\", alpha=\"0.13\", expect_size=\"21935104\"] \n  30 [size=\"86046720\", alpha=\"0.04\", expect_size=\"43023360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32056320\", alpha=\"0.14\", expect_size=\"12822528\"] \n  1 -> 19 [size =\"12822528\"]\n  1 -> 21 [size =\"12822528\"]\n  1 -> 23 [size =\"12822528\"]\n  1 -> 25 [size =\"12822528\"]\n  1 -> 27 [size =\"12822528\"]\n  1 -> 29 [size =\"12822528\"]\n  1 -> 30 [size =\"12822528\"]\n  2 [size=\"68807680\", alpha=\"0.13\", expect_size=\"27523072\"] \n  2 -> 19 [size =\"27523072\"]\n  2 -> 21 [size =\"27523072\"]\n  2 -> 26 [size =\"27523072\"]\n  2 -> 27 [size =\"27523072\"]\n  2 -> 29 [size =\"27523072\"]\n  2 -> 30 [size =\"27523072\"]\n  3 [size=\"52154880\", alpha=\"0.02\", expect_size=\"20861952\"] \n  3 -> 20 [size =\"20861952\"]\n  3 -> 21 [size =\"20861952\"]\n  3 -> 27 [size =\"20861952\"]\n  3 -> 27 [size =\"20861952\"]\n  3 -> 29 [size =\"20861952\"]\n  3 -> 30 [size =\"20861952\"]\n  4 [size=\"102707200\", alpha=\"0.09\", expect_size=\"41082880\"] \n  4 -> 20 [size =\"41082880\"]\n  4 -> 24 [size =\"41082880\"]\n  4 -> 25 [size =\"41082880\"]\n  4 -> 28 [size =\"41082880\"]\n  4 -> 30 [size =\"41082880\"]\n  5 [size=\"72988160\", alpha=\"0.00\", expect_size=\"29195264\"] \n  5 -> 18 [size =\"29195264\"]\n  5 -> 23 [size =\"29195264\"]\n  5 -> 29 [size =\"29195264\"]\n  6 [size=\"92833280\", alpha=\"0.09\", expect_size=\"37133312\"] \n  6 -> 23 [size =\"37133312\"]\n  6 -> 30 [size =\"37133312\"]\n  7 [size=\"30758400\", alpha=\"0.15\", expect_size=\"12303360\"] \n  7 -> 18 [size =\"12303360\"]\n  7 -> 19 [size =\"12303360\"]\n  7 -> 21 [size =\"12303360\"]\n  7 -> 26 [size =\"12303360\"]\n  7 -> 29 [size =\"12303360\"]\n  8 [size=\"20139520\", alpha=\"0.04\", expect_size=\"8055808\"] \n  8 -> 20 [size =\"8055808\"]\n  8 -> 22 [size =\"8055808\"]\n  8 -> 28 [size =\"8055808\"]\n  8 -> 29 [size =\"8055808\"]\n  9 [size=\"102807040\", alpha=\"0.00\", expect_size=\"41122816\"] \n  9 -> 20 [size =\"41122816\"]\n  9 -> 23 [size =\"41122816\"]\n  9 -> 28 [size =\"41122816\"]\n  9 -> 30 [size =\"41122816\"]\n  10 [size=\"103959040\", alpha=\"0.05\", expect_size=\"41583616\"] \n  10 -> 23 [size =\"41583616\"]\n  10 -> 23 [size =\"41583616\"]\n  10 -> 26 [size =\"41583616\"]\n  10 -> 28 [size =\"41583616\"]\n  11 [size=\"122434560\", alpha=\"0.03\", expect_size=\"48973824\"] \n  11 -> 23 [size =\"48973824\"]\n  11 -> 28 [size =\"48973824\"]\n  11 -> 29 [size =\"48973824\"]\n  12 [size=\"87856640\", alpha=\"0.19\", expect_size=\"35142656\"] \n  12 -> 23 [size =\"35142656\"]\n  12 -> 25 [size =\"35142656\"]\n  12 -> 28 [size =\"35142656\"]\n  12 -> 30 [size =\"35142656\"]\n  13 [size=\"45058560\", alpha=\"0.07\", expect_size=\"18023424\"] \n  13 -> 20 [size =\"18023424\"]\n  13 -> 23 [size =\"18023424\"]\n  13 -> 25 [size =\"18023424\"]\n  13 -> 26 [size =\"18023424\"]\n  13 -> 27 [size =\"18023424\"]\n  13 -> 28 [size =\"18023424\"]\n  13 -> 29 [size =\"18023424\"]\n  13 -> 30 [size =\"18023424\"]\n  14 [size=\"55449600\", alpha=\"0.16\", expect_size=\"22179840\"] \n  14 -> 27 [size =\"22179840\"]\n  14 -> 29 [size =\"22179840\"]\n  15 [size=\"106483200\", alpha=\"0.16\", expect_size=\"42593280\"] \n  15 -> 24 [size =\"42593280\"]\n  15 -> 26 [size =\"42593280\"]\n  15 -> 27 [size =\"42593280\"]\n  15 -> 29 [size =\"42593280\"]\n  16 [size=\"107799040\", alpha=\"0.12\", expect_size=\"43119616\"] \n  16 -> 19 [size =\"43119616\"]\n  16 -> 21 [size =\"43119616\"]\n  16 -> 28 [size =\"43119616\"]\n  17 [size=\"41315840\", alpha=\"0.15\", expect_size=\"16526336\"] \n  17 -> 22 [size =\"16526336\"]\n  18 [size=\"130716160\", alpha=\"0.20\", expect_size=\"52286464\"] \n  19 [size=\"34170880\", alpha=\"0.08\", expect_size=\"13668352\"] \n  20 [size=\"36902400\", alpha=\"0.02\", expect_size=\"14760960\"] \n  21 [size=\"65559040\", alpha=\"0.18\", expect_size=\"26223616\"] \n  22 [size=\"86184960\", alpha=\"0.05\", expect_size=\"34473984\"] \n  23 [size=\"82880000\", alpha=\"0.18\", expect_size=\"33152000\"] \n  24 [size=\"125847040\", alpha=\"0.06\", expect_size=\"50338816\"] \n  25 [size=\"101335040\", alpha=\"0.04\", expect_size=\"40534016\"] \n  26 [size=\"77557760\", alpha=\"0.16\", expect_size=\"31023104\"] \n  27 [size=\"27911680\", alpha=\"0.11\", expect_size=\"11164672\"] \n  28 [size=\"116011520\", alpha=\"0.07\", expect_size=\"46404608\"] \n  29 [size=\"115248640\", alpha=\"0.18\", expect_size=\"46099456\"] \n  30 [size=\"44321280\", alpha=\"0.04\", expect_size=\"17728512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64135168\", alpha=\"0.18\", expect_size=\"32067584\"] \n  1 -> 10 [size =\"32067584\"]\n  1 -> 15 [size =\"32067584\"]\n  1 -> 16 [size =\"32067584\"]\n  1 -> 19 [size =\"32067584\"]\n  1 -> 21 [size =\"32067584\"]\n  2 [size=\"11884544\", alpha=\"0.19\", expect_size=\"5942272\"] \n  2 -> 12 [size =\"5942272\"]\n  2 -> 16 [size =\"5942272\"]\n  2 -> 19 [size =\"5942272\"]\n  2 -> 20 [size =\"5942272\"]\n  2 -> 21 [size =\"5942272\"]\n  3 [size=\"62994432\", alpha=\"0.02\", expect_size=\"31497216\"] \n  3 -> 11 [size =\"31497216\"]\n  3 -> 21 [size =\"31497216\"]\n  4 [size=\"31666176\", alpha=\"0.20\", expect_size=\"15833088\"] \n  4 -> 10 [size =\"15833088\"]\n  4 -> 18 [size =\"15833088\"]\n  4 -> 19 [size =\"15833088\"]\n  4 -> 20 [size =\"15833088\"]\n  5 [size=\"97134592\", alpha=\"0.04\", expect_size=\"48567296\"] \n  5 -> 13 [size =\"48567296\"]\n  5 -> 18 [size =\"48567296\"]\n  5 -> 20 [size =\"48567296\"]\n  6 [size=\"25450496\", alpha=\"0.06\", expect_size=\"12725248\"] \n  6 -> 11 [size =\"12725248\"]\n  6 -> 14 [size =\"12725248\"]\n  6 -> 18 [size =\"12725248\"]\n  7 [size=\"82780160\", alpha=\"0.06\", expect_size=\"41390080\"] \n  7 -> 15 [size =\"41390080\"]\n  7 -> 16 [size =\"41390080\"]\n  7 -> 17 [size =\"41390080\"]\n  7 -> 18 [size =\"41390080\"]\n  7 -> 19 [size =\"41390080\"]\n  8 [size=\"28796928\", alpha=\"0.13\", expect_size=\"14398464\"] \n  8 -> 10 [size =\"14398464\"]\n  8 -> 11 [size =\"14398464\"]\n  8 -> 14 [size =\"14398464\"]\n  8 -> 16 [size =\"14398464\"]\n  8 -> 17 [size =\"14398464\"]\n  8 -> 20 [size =\"14398464\"]\n  9 [size=\"84307968\", alpha=\"0.08\", expect_size=\"42153984\"] \n  9 -> 12 [size =\"42153984\"]\n  9 -> 16 [size =\"42153984\"]\n  10 [size=\"48062464\", alpha=\"0.07\", expect_size=\"24031232\"] \n  10 -> 23 [size =\"24031232\"]\n  10 -> 24 [size =\"24031232\"]\n  10 -> 26 [size =\"24031232\"]\n  10 -> 30 [size =\"24031232\"]\n  11 [size=\"25692160\", alpha=\"0.19\", expect_size=\"12846080\"] \n  12 [size=\"17231872\", alpha=\"0.03\", expect_size=\"8615936\"] \n  12 -> 23 [size =\"8615936\"]\n  12 -> 27 [size =\"8615936\"]\n  12 -> 29 [size =\"8615936\"]\n  13 [size=\"11374592\", alpha=\"0.15\", expect_size=\"5687296\"] \n  13 -> 22 [size =\"5687296\"]\n  13 -> 24 [size =\"5687296\"]\n  13 -> 28 [size =\"5687296\"]\n  13 -> 29 [size =\"5687296\"]\n  14 [size=\"18790400\", alpha=\"0.06\", expect_size=\"9395200\"] \n  14 -> 24 [size =\"9395200\"]\n  14 -> 29 [size =\"9395200\"]\n  14 -> 30 [size =\"9395200\"]\n  15 [size=\"17397760\", alpha=\"0.03\", expect_size=\"8698880\"] \n  15 -> 26 [size =\"8698880\"]\n  15 -> 30 [size =\"8698880\"]\n  16 [size=\"36063232\", alpha=\"0.08\", expect_size=\"18031616\"] \n  16 -> 23 [size =\"18031616\"]\n  16 -> 26 [size =\"18031616\"]\n  16 -> 30 [size =\"18031616\"]\n  17 [size=\"63109120\", alpha=\"0.11\", expect_size=\"31554560\"] \n  17 -> 24 [size =\"31554560\"]\n  17 -> 29 [size =\"31554560\"]\n  17 -> 30 [size =\"31554560\"]\n  18 [size=\"90726400\", alpha=\"0.04\", expect_size=\"45363200\"] \n  18 -> 24 [size =\"45363200\"]\n  18 -> 30 [size =\"45363200\"]\n  19 [size=\"59490304\", alpha=\"0.18\", expect_size=\"29745152\"] \n  19 -> 22 [size =\"29745152\"]\n  19 -> 25 [size =\"29745152\"]\n  20 [size=\"95807488\", alpha=\"0.00\", expect_size=\"47903744\"] \n  20 -> 25 [size =\"47903744\"]\n  21 [size=\"35887104\", alpha=\"0.14\", expect_size=\"17943552\"] \n  21 -> 23 [size =\"17943552\"]\n  21 -> 28 [size =\"17943552\"]\n  22 [size=\"29933568\", alpha=\"0.08\", expect_size=\"14966784\"] \n  23 [size=\"45074432\", alpha=\"0.14\", expect_size=\"22537216\"] \n  24 [size=\"22702080\", alpha=\"0.04\", expect_size=\"11351040\"] \n  25 [size=\"50409472\", alpha=\"0.12\", expect_size=\"25204736\"] \n  26 [size=\"65634304\", alpha=\"0.03\", expect_size=\"32817152\"] \n  27 [size=\"104648704\", alpha=\"0.10\", expect_size=\"52324352\"] \n  28 [size=\"63801344\", alpha=\"0.00\", expect_size=\"31900672\"] \n  29 [size=\"82257920\", alpha=\"0.07\", expect_size=\"41128960\"] \n  30 [size=\"71837696\", alpha=\"0.01\", expect_size=\"35918848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18028544\", alpha=\"0.18\", expect_size=\"9014272\"] \n  1 -> 3 [size =\"9014272\"]\n  2 [size=\"63772672\", alpha=\"0.13\", expect_size=\"31886336\"] \n  2 -> 3 [size =\"31886336\"]\n  3 [size=\"19322880\", alpha=\"0.04\", expect_size=\"9661440\"] \n  3 -> 4 [size =\"9661440\"]\n  3 -> 5 [size =\"9661440\"]\n  4 [size=\"47034368\", alpha=\"0.03\", expect_size=\"23517184\"] \n  4 -> 6 [size =\"23517184\"]\n  5 [size=\"14211072\", alpha=\"0.00\", expect_size=\"7105536\"] \n  5 -> 7 [size =\"7105536\"]\n  6 [size=\"81315840\", alpha=\"0.17\", expect_size=\"40657920\"] \n  6 -> 8 [size =\"40657920\"]\n  6 -> 9 [size =\"40657920\"]\n  7 [size=\"56750080\", alpha=\"0.18\", expect_size=\"28375040\"] \n  7 -> 8 [size =\"28375040\"]\n  7 -> 9 [size =\"28375040\"]\n  8 [size=\"31191040\", alpha=\"0.06\", expect_size=\"15595520\"] \n  8 -> 10 [size =\"15595520\"]\n  9 [size=\"81315840\", alpha=\"0.06\", expect_size=\"40657920\"] \n  9 -> 10 [size =\"40657920\"]\n  9 -> 11 [size =\"40657920\"]\n  10 [size=\"66433024\", alpha=\"0.10\", expect_size=\"33216512\"] \n  10 -> 12 [size =\"33216512\"]\n  10 -> 13 [size =\"33216512\"]\n  11 [size=\"71235584\", alpha=\"0.09\", expect_size=\"35617792\"] \n  11 -> 12 [size =\"35617792\"]\n  11 -> 13 [size =\"35617792\"]\n  12 [size=\"60051456\", alpha=\"0.20\", expect_size=\"30025728\"] \n  12 -> 14 [size =\"30025728\"]\n  13 [size=\"28104704\", alpha=\"0.12\", expect_size=\"14052352\"] \n  14 [size=\"45365248\", alpha=\"0.12\", expect_size=\"22682624\"] \n  14 -> 15 [size =\"22682624\"]\n  15 [size=\"58714112\", alpha=\"0.19\", expect_size=\"29357056\"] \n  15 -> 16 [size =\"29357056\"]\n  15 -> 17 [size =\"29357056\"]\n  16 [size=\"59797504\", alpha=\"0.04\", expect_size=\"29898752\"] \n  16 -> 18 [size =\"29898752\"]\n  17 [size=\"47097856\", alpha=\"0.16\", expect_size=\"23548928\"] \n  17 -> 18 [size =\"23548928\"]\n  18 [size=\"39227392\", alpha=\"0.10\", expect_size=\"19613696\"] \n  18 -> 19 [size =\"19613696\"]\n  19 [size=\"69572608\", alpha=\"0.17\", expect_size=\"34786304\"] \n  19 -> 20 [size =\"34786304\"]\n  19 -> 21 [size =\"34786304\"]\n  20 [size=\"97216512\", alpha=\"0.08\", expect_size=\"48608256\"] \n  20 -> 22 [size =\"48608256\"]\n  20 -> 23 [size =\"48608256\"]\n  21 [size=\"52160512\", alpha=\"0.01\", expect_size=\"26080256\"] \n  21 -> 22 [size =\"26080256\"]\n  21 -> 23 [size =\"26080256\"]\n  22 [size=\"95356928\", alpha=\"0.06\", expect_size=\"47678464\"] \n  22 -> 24 [size =\"47678464\"]\n  22 -> 25 [size =\"47678464\"]\n  23 [size=\"95074304\", alpha=\"0.12\", expect_size=\"47537152\"] \n  23 -> 24 [size =\"47537152\"]\n  23 -> 25 [size =\"47537152\"]\n  24 [size=\"56442880\", alpha=\"0.06\", expect_size=\"28221440\"] \n  24 -> 26 [size =\"28221440\"]\n  24 -> 27 [size =\"28221440\"]\n  25 [size=\"19552256\", alpha=\"0.01\", expect_size=\"9776128\"] \n  25 -> 27 [size =\"9776128\"]\n  26 [size=\"13414400\", alpha=\"0.11\", expect_size=\"6707200\"] \n  26 -> 28 [size =\"6707200\"]\n  27 [size=\"32483328\", alpha=\"0.10\", expect_size=\"16241664\"] \n  27 -> 28 [size =\"16241664\"]\n  28 [size=\"12128256\", alpha=\"0.14\", expect_size=\"6064128\"] \n  28 -> 29 [size =\"6064128\"]\n  29 [size=\"58376192\", alpha=\"0.14\", expect_size=\"29188096\"] \n  29 -> 30 [size =\"29188096\"]\n  30 [size=\"42579968\", alpha=\"0.04\", expect_size=\"21289984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35061760\", alpha=\"0.14\", expect_size=\"10518528\"] \n  1 -> 6 [size =\"10518528\"]\n  1 -> 7 [size =\"10518528\"]\n  2 [size=\"113254400\", alpha=\"0.06\", expect_size=\"33976320\"] \n  2 -> 6 [size =\"33976320\"]\n  3 [size=\"72905387\", alpha=\"0.16\", expect_size=\"21871616\"] \n  3 -> 7 [size =\"21871616\"]\n  3 -> 8 [size =\"21871616\"]\n  4 [size=\"123549013\", alpha=\"0.02\", expect_size=\"37064704\"] \n  4 -> 5 [size =\"37064704\"]\n  5 [size=\"124334080\", alpha=\"0.14\", expect_size=\"37300224\"] \n  5 -> 10 [size =\"37300224\"]\n  5 -> 12 [size =\"37300224\"]\n  6 [size=\"33853440\", alpha=\"0.18\", expect_size=\"10156032\"] \n  6 -> 9 [size =\"10156032\"]\n  6 -> 10 [size =\"10156032\"]\n  6 -> 11 [size =\"10156032\"]\n  7 [size=\"157450240\", alpha=\"0.07\", expect_size=\"47235072\"] \n  7 -> 9 [size =\"47235072\"]\n  7 -> 11 [size =\"47235072\"]\n  7 -> 11 [size =\"47235072\"]\n  8 [size=\"106154667\", alpha=\"0.11\", expect_size=\"31846400\"] \n  8 -> 9 [size =\"31846400\"]\n  8 -> 10 [size =\"31846400\"]\n  9 [size=\"155081387\", alpha=\"0.20\", expect_size=\"46524416\"] \n  9 -> 13 [size =\"46524416\"]\n  9 -> 14 [size =\"46524416\"]\n  10 [size=\"75376640\", alpha=\"0.10\", expect_size=\"22612992\"] \n  10 -> 15 [size =\"22612992\"]\n  11 [size=\"71546880\", alpha=\"0.14\", expect_size=\"21464064\"] \n  11 -> 14 [size =\"21464064\"]\n  12 [size=\"21268480\", alpha=\"0.04\", expect_size=\"6380544\"] \n  12 -> 13 [size =\"6380544\"]\n  12 -> 16 [size =\"6380544\"]\n  13 [size=\"71478613\", alpha=\"0.20\", expect_size=\"21443584\"] \n  13 -> 17 [size =\"21443584\"]\n  13 -> 19 [size =\"21443584\"]\n  14 [size=\"39495680\", alpha=\"0.19\", expect_size=\"11848704\"] \n  14 -> 17 [size =\"11848704\"]\n  14 -> 21 [size =\"11848704\"]\n  15 [size=\"58941440\", alpha=\"0.06\", expect_size=\"17682432\"] \n  15 -> 18 [size =\"17682432\"]\n  15 -> 19 [size =\"17682432\"]\n  16 [size=\"166621867\", alpha=\"0.19\", expect_size=\"49986560\"] \n  16 -> 20 [size =\"49986560\"]\n  17 [size=\"150681600\", alpha=\"0.09\", expect_size=\"45204480\"] \n  18 [size=\"51425280\", alpha=\"0.05\", expect_size=\"15427584\"] \n  18 -> 24 [size =\"15427584\"]\n  19 [size=\"136154453\", alpha=\"0.05\", expect_size=\"40846336\"] \n  20 [size=\"133707093\", alpha=\"0.06\", expect_size=\"40112128\"] \n  20 -> 22 [size =\"40112128\"]\n  20 -> 23 [size =\"40112128\"]\n  20 -> 24 [size =\"40112128\"]\n  20 -> 25 [size =\"40112128\"]\n  21 [size=\"55985493\", alpha=\"0.08\", expect_size=\"16795648\"] \n  21 -> 23 [size =\"16795648\"]\n  21 -> 24 [size =\"16795648\"]\n  21 -> 25 [size =\"16795648\"]\n  21 -> 26 [size =\"16795648\"]\n  22 [size=\"162464427\", alpha=\"0.03\", expect_size=\"48739328\"] \n  23 [size=\"32863573\", alpha=\"0.04\", expect_size=\"9859072\"] \n  23 -> 27 [size =\"9859072\"]\n  23 -> 29 [size =\"9859072\"]\n  24 [size=\"30842880\", alpha=\"0.19\", expect_size=\"9252864\"] \n  25 [size=\"19749547\", alpha=\"0.08\", expect_size=\"5924864\"] \n  25 -> 29 [size =\"5924864\"]\n  25 -> 30 [size =\"5924864\"]\n  26 [size=\"63962453\", alpha=\"0.19\", expect_size=\"19188736\"] \n  26 -> 27 [size =\"19188736\"]\n  26 -> 28 [size =\"19188736\"]\n  27 [size=\"53661013\", alpha=\"0.07\", expect_size=\"16098304\"] \n  28 [size=\"125726720\", alpha=\"0.07\", expect_size=\"37718016\"] \n  29 [size=\"165768533\", alpha=\"0.05\", expect_size=\"49730560\"] \n  30 [size=\"50428587\", alpha=\"0.09\", expect_size=\"15128576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83514027\", alpha=\"0.01\", expect_size=\"25054208\"] \n  1 -> 2 [size =\"25054208\"]\n  1 -> 3 [size =\"25054208\"]\n  2 [size=\"91275947\", alpha=\"0.05\", expect_size=\"27382784\"] \n  2 -> 4 [size =\"27382784\"]\n  3 [size=\"32583680\", alpha=\"0.10\", expect_size=\"9775104\"] \n  3 -> 4 [size =\"9775104\"]\n  4 [size=\"24517973\", alpha=\"0.02\", expect_size=\"7355392\"] \n  4 -> 5 [size =\"7355392\"]\n  4 -> 6 [size =\"7355392\"]\n  5 [size=\"149459627\", alpha=\"0.15\", expect_size=\"44837888\"] \n  5 -> 7 [size =\"44837888\"]\n  6 [size=\"65959253\", alpha=\"0.11\", expect_size=\"19787776\"] \n  6 -> 7 [size =\"19787776\"]\n  6 -> 8 [size =\"19787776\"]\n  7 [size=\"32696320\", alpha=\"0.09\", expect_size=\"9808896\"] \n  7 -> 9 [size =\"9808896\"]\n  7 -> 10 [size =\"9808896\"]\n  8 [size=\"135557120\", alpha=\"0.02\", expect_size=\"40667136\"] \n  8 -> 9 [size =\"40667136\"]\n  8 -> 10 [size =\"40667136\"]\n  9 [size=\"91412480\", alpha=\"0.17\", expect_size=\"27423744\"] \n  9 -> 11 [size =\"27423744\"]\n  10 [size=\"161204907\", alpha=\"0.18\", expect_size=\"48361472\"] \n  10 -> 11 [size =\"48361472\"]\n  10 -> 12 [size =\"48361472\"]\n  11 [size=\"42571093\", alpha=\"0.06\", expect_size=\"12771328\"] \n  11 -> 13 [size =\"12771328\"]\n  11 -> 14 [size =\"12771328\"]\n  12 [size=\"52865707\", alpha=\"0.05\", expect_size=\"15859712\"] \n  12 -> 13 [size =\"15859712\"]\n  12 -> 14 [size =\"15859712\"]\n  13 [size=\"94528853\", alpha=\"0.06\", expect_size=\"28358656\"] \n  13 -> 15 [size =\"28358656\"]\n  13 -> 16 [size =\"28358656\"]\n  14 [size=\"172202667\", alpha=\"0.17\", expect_size=\"51660800\"] \n  14 -> 15 [size =\"51660800\"]\n  14 -> 16 [size =\"51660800\"]\n  15 [size=\"34362027\", alpha=\"0.15\", expect_size=\"10308608\"] \n  15 -> 17 [size =\"10308608\"]\n  15 -> 18 [size =\"10308608\"]\n  16 [size=\"152855893\", alpha=\"0.10\", expect_size=\"45856768\"] \n  16 -> 18 [size =\"45856768\"]\n  17 [size=\"83333120\", alpha=\"0.04\", expect_size=\"24999936\"] \n  17 -> 19 [size =\"24999936\"]\n  17 -> 20 [size =\"24999936\"]\n  18 [size=\"155306667\", alpha=\"0.16\", expect_size=\"46592000\"] \n  18 -> 19 [size =\"46592000\"]\n  19 [size=\"169953280\", alpha=\"0.15\", expect_size=\"50985984\"] \n  19 -> 21 [size =\"50985984\"]\n  19 -> 22 [size =\"50985984\"]\n  20 [size=\"142438400\", alpha=\"0.08\", expect_size=\"42731520\"] \n  20 -> 21 [size =\"42731520\"]\n  20 -> 22 [size =\"42731520\"]\n  21 [size=\"128617813\", alpha=\"0.10\", expect_size=\"38585344\"] \n  21 -> 23 [size =\"38585344\"]\n  22 [size=\"18991787\", alpha=\"0.01\", expect_size=\"5697536\"] \n  22 -> 23 [size =\"5697536\"]\n  23 [size=\"59508053\", alpha=\"0.14\", expect_size=\"17852416\"] \n  23 -> 24 [size =\"17852416\"]\n  23 -> 25 [size =\"17852416\"]\n  24 [size=\"105198933\", alpha=\"0.08\", expect_size=\"31559680\"] \n  24 -> 26 [size =\"31559680\"]\n  25 [size=\"79865173\", alpha=\"0.19\", expect_size=\"23959552\"] \n  26 [size=\"40659627\", alpha=\"0.15\", expect_size=\"12197888\"] \n  26 -> 27 [size =\"12197888\"]\n  26 -> 28 [size =\"12197888\"]\n  27 [size=\"120388267\", alpha=\"0.14\", expect_size=\"36116480\"] \n  27 -> 29 [size =\"36116480\"]\n  28 [size=\"154439680\", alpha=\"0.08\", expect_size=\"46331904\"] \n  28 -> 29 [size =\"46331904\"]\n  29 [size=\"125259093\", alpha=\"0.11\", expect_size=\"37577728\"] \n  29 -> 30 [size =\"37577728\"]\n  30 [size=\"83418453\", alpha=\"0.13\", expect_size=\"25025536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32669013\", alpha=\"0.04\", expect_size=\"9800704\"] \n  1 -> 2 [size =\"9800704\"]\n  2 [size=\"123733333\", alpha=\"0.08\", expect_size=\"37120000\"] \n  2 -> 3 [size =\"37120000\"]\n  3 [size=\"82111147\", alpha=\"0.08\", expect_size=\"24633344\"] \n  3 -> 4 [size =\"24633344\"]\n  4 [size=\"46080000\", alpha=\"0.01\", expect_size=\"13824000\"] \n  4 -> 5 [size =\"13824000\"]\n  5 [size=\"53940907\", alpha=\"0.08\", expect_size=\"16182272\"] \n  5 -> 6 [size =\"16182272\"]\n  6 [size=\"122323627\", alpha=\"0.17\", expect_size=\"36697088\"] \n  6 -> 7 [size =\"36697088\"]\n  7 [size=\"88227840\", alpha=\"0.01\", expect_size=\"26468352\"] \n  7 -> 8 [size =\"26468352\"]\n  8 [size=\"44247040\", alpha=\"0.09\", expect_size=\"13274112\"] \n  8 -> 9 [size =\"13274112\"]\n  9 [size=\"125846187\", alpha=\"0.19\", expect_size=\"37753856\"] \n  9 -> 10 [size =\"37753856\"]\n  10 [size=\"35676160\", alpha=\"0.14\", expect_size=\"10702848\"] \n  10 -> 11 [size =\"10702848\"]\n  11 [size=\"156252160\", alpha=\"0.11\", expect_size=\"46875648\"] \n  11 -> 12 [size =\"46875648\"]\n  12 [size=\"34321067\", alpha=\"0.17\", expect_size=\"10296320\"] \n  12 -> 13 [size =\"10296320\"]\n  13 [size=\"97273173\", alpha=\"0.17\", expect_size=\"29181952\"] \n  13 -> 14 [size =\"29181952\"]\n  14 [size=\"159119360\", alpha=\"0.18\", expect_size=\"47735808\"] \n  14 -> 15 [size =\"47735808\"]\n  15 [size=\"167256747\", alpha=\"0.02\", expect_size=\"50177024\"] \n  15 -> 16 [size =\"50177024\"]\n  16 [size=\"71662933\", alpha=\"0.20\", expect_size=\"21498880\"] \n  16 -> 17 [size =\"21498880\"]\n  17 [size=\"47872000\", alpha=\"0.04\", expect_size=\"14361600\"] \n  17 -> 18 [size =\"14361600\"]\n  18 [size=\"59040427\", alpha=\"0.20\", expect_size=\"17712128\"] \n  18 -> 19 [size =\"17712128\"]\n  19 [size=\"128392533\", alpha=\"0.17\", expect_size=\"38517760\"] \n  19 -> 20 [size =\"38517760\"]\n  20 [size=\"119671467\", alpha=\"0.03\", expect_size=\"35901440\"] \n  20 -> 21 [size =\"35901440\"]\n  21 [size=\"71410347\", alpha=\"0.11\", expect_size=\"21423104\"] \n  21 -> 22 [size =\"21423104\"]\n  22 [size=\"154071040\", alpha=\"0.13\", expect_size=\"46221312\"] \n  22 -> 23 [size =\"46221312\"]\n  23 [size=\"130027520\", alpha=\"0.03\", expect_size=\"39008256\"] \n  23 -> 24 [size =\"39008256\"]\n  24 [size=\"106397013\", alpha=\"0.17\", expect_size=\"31919104\"] \n  24 -> 25 [size =\"31919104\"]\n  25 [size=\"93344427\", alpha=\"0.15\", expect_size=\"28003328\"] \n  25 -> 26 [size =\"28003328\"]\n  26 [size=\"111725227\", alpha=\"0.07\", expect_size=\"33517568\"] \n  26 -> 27 [size =\"33517568\"]\n  27 [size=\"110643200\", alpha=\"0.07\", expect_size=\"33192960\"] \n  27 -> 28 [size =\"33192960\"]\n  28 [size=\"140233387\", alpha=\"0.11\", expect_size=\"42070016\"] \n  28 -> 29 [size =\"42070016\"]\n  29 [size=\"136427520\", alpha=\"0.09\", expect_size=\"40928256\"] \n  29 -> 30 [size =\"40928256\"]\n  30 [size=\"110749013\", alpha=\"0.09\", expect_size=\"33224704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126593707\", alpha=\"0.15\", expect_size=\"37978112\"] \n  1 -> 3 [size =\"37978112\"]\n  2 [size=\"21166080\", alpha=\"0.17\", expect_size=\"6349824\"] \n  2 -> 3 [size =\"6349824\"]\n  3 [size=\"70529707\", alpha=\"0.18\", expect_size=\"21158912\"] \n  3 -> 4 [size =\"21158912\"]\n  3 -> 5 [size =\"21158912\"]\n  4 [size=\"145722027\", alpha=\"0.03\", expect_size=\"43716608\"] \n  4 -> 6 [size =\"43716608\"]\n  4 -> 7 [size =\"43716608\"]\n  5 [size=\"95607467\", alpha=\"0.04\", expect_size=\"28682240\"] \n  5 -> 6 [size =\"28682240\"]\n  6 [size=\"44274347\", alpha=\"0.06\", expect_size=\"13282304\"] \n  6 -> 8 [size =\"13282304\"]\n  7 [size=\"103710720\", alpha=\"0.09\", expect_size=\"31113216\"] \n  7 -> 8 [size =\"31113216\"]\n  8 [size=\"161761280\", alpha=\"0.08\", expect_size=\"48528384\"] \n  8 -> 9 [size =\"48528384\"]\n  8 -> 10 [size =\"48528384\"]\n  9 [size=\"147998720\", alpha=\"0.14\", expect_size=\"44399616\"] \n  9 -> 11 [size =\"44399616\"]\n  9 -> 12 [size =\"44399616\"]\n  10 [size=\"117377707\", alpha=\"0.15\", expect_size=\"35213312\"] \n  10 -> 11 [size =\"35213312\"]\n  10 -> 12 [size =\"35213312\"]\n  11 [size=\"94982827\", alpha=\"0.01\", expect_size=\"28494848\"] \n  11 -> 13 [size =\"28494848\"]\n  12 [size=\"56029867\", alpha=\"0.10\", expect_size=\"16808960\"] \n  12 -> 13 [size =\"16808960\"]\n  13 [size=\"30255787\", alpha=\"0.08\", expect_size=\"9076736\"] \n  13 -> 14 [size =\"9076736\"]\n  14 [size=\"169065813\", alpha=\"0.03\", expect_size=\"50719744\"] \n  14 -> 15 [size =\"50719744\"]\n  15 [size=\"37727573\", alpha=\"0.10\", expect_size=\"11318272\"] \n  15 -> 16 [size =\"11318272\"]\n  16 [size=\"70171307\", alpha=\"0.15\", expect_size=\"21051392\"] \n  16 -> 17 [size =\"21051392\"]\n  17 [size=\"115268267\", alpha=\"0.04\", expect_size=\"34580480\"] \n  17 -> 18 [size =\"34580480\"]\n  18 [size=\"30525440\", alpha=\"0.03\", expect_size=\"9157632\"] \n  18 -> 19 [size =\"9157632\"]\n  18 -> 20 [size =\"9157632\"]\n  19 [size=\"93713067\", alpha=\"0.13\", expect_size=\"28113920\"] \n  19 -> 22 [size =\"28113920\"]\n  20 [size=\"49250987\", alpha=\"0.07\", expect_size=\"14775296\"] \n  20 -> 21 [size =\"14775296\"]\n  21 [size=\"168543573\", alpha=\"0.15\", expect_size=\"50563072\"] \n  21 -> 23 [size =\"50563072\"]\n  22 [size=\"172984320\", alpha=\"0.03\", expect_size=\"51895296\"] \n  22 -> 23 [size =\"51895296\"]\n  22 -> 24 [size =\"51895296\"]\n  23 [size=\"91757227\", alpha=\"0.18\", expect_size=\"27527168\"] \n  24 [size=\"156088320\", alpha=\"0.10\", expect_size=\"46826496\"] \n  24 -> 25 [size =\"46826496\"]\n  25 [size=\"19746133\", alpha=\"0.11\", expect_size=\"5923840\"] \n  25 -> 26 [size =\"5923840\"]\n  25 -> 27 [size =\"5923840\"]\n  26 [size=\"95962453\", alpha=\"0.16\", expect_size=\"28788736\"] \n  26 -> 28 [size =\"28788736\"]\n  27 [size=\"54490453\", alpha=\"0.12\", expect_size=\"16347136\"] \n  27 -> 28 [size =\"16347136\"]\n  28 [size=\"88893440\", alpha=\"0.06\", expect_size=\"26668032\"] \n  28 -> 29 [size =\"26668032\"]\n  29 [size=\"109694293\", alpha=\"0.17\", expect_size=\"32908288\"] \n  29 -> 30 [size =\"32908288\"]\n  30 [size=\"52507307\", alpha=\"0.20\", expect_size=\"15752192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36073472\", alpha=\"0.12\", expect_size=\"18036736\"] \n  1 -> 11 [size =\"18036736\"]\n  1 -> 12 [size =\"18036736\"]\n  1 -> 14 [size =\"18036736\"]\n  1 -> 15 [size =\"18036736\"]\n  1 -> 18 [size =\"18036736\"]\n  1 -> 19 [size =\"18036736\"]\n  1 -> 20 [size =\"18036736\"]\n  1 -> 22 [size =\"18036736\"]\n  2 [size=\"22456320\", alpha=\"0.20\", expect_size=\"11228160\"] \n  2 -> 12 [size =\"11228160\"]\n  2 -> 12 [size =\"11228160\"]\n  2 -> 15 [size =\"11228160\"]\n  2 -> 22 [size =\"11228160\"]\n  3 [size=\"48728064\", alpha=\"0.14\", expect_size=\"24364032\"] \n  3 -> 15 [size =\"24364032\"]\n  3 -> 19 [size =\"24364032\"]\n  4 [size=\"80320512\", alpha=\"0.08\", expect_size=\"40160256\"] \n  4 -> 13 [size =\"40160256\"]\n  4 -> 14 [size =\"40160256\"]\n  4 -> 17 [size =\"40160256\"]\n  5 [size=\"59312128\", alpha=\"0.17\", expect_size=\"29656064\"] \n  5 -> 15 [size =\"29656064\"]\n  5 -> 17 [size =\"29656064\"]\n  6 [size=\"66584576\", alpha=\"0.10\", expect_size=\"33292288\"] \n  6 -> 11 [size =\"33292288\"]\n  6 -> 12 [size =\"33292288\"]\n  6 -> 18 [size =\"33292288\"]\n  7 [size=\"40011776\", alpha=\"0.10\", expect_size=\"20005888\"] \n  7 -> 15 [size =\"20005888\"]\n  8 [size=\"104413184\", alpha=\"0.05\", expect_size=\"52206592\"] \n  8 -> 17 [size =\"52206592\"]\n  8 -> 19 [size =\"52206592\"]\n  8 -> 22 [size =\"52206592\"]\n  9 [size=\"80629760\", alpha=\"0.00\", expect_size=\"40314880\"] \n  9 -> 17 [size =\"40314880\"]\n  9 -> 19 [size =\"40314880\"]\n  9 -> 21 [size =\"40314880\"]\n  9 -> 22 [size =\"40314880\"]\n  10 [size=\"16627712\", alpha=\"0.03\", expect_size=\"8313856\"] \n  10 -> 11 [size =\"8313856\"]\n  10 -> 12 [size =\"8313856\"]\n  10 -> 14 [size =\"8313856\"]\n  10 -> 16 [size =\"8313856\"]\n  10 -> 17 [size =\"8313856\"]\n  10 -> 19 [size =\"8313856\"]\n  10 -> 21 [size =\"8313856\"]\n  10 -> 22 [size =\"8313856\"]\n  11 [size=\"43976704\", alpha=\"0.11\", expect_size=\"21988352\"] \n  11 -> 23 [size =\"21988352\"]\n  11 -> 28 [size =\"21988352\"]\n  11 -> 30 [size =\"21988352\"]\n  12 [size=\"102385664\", alpha=\"0.14\", expect_size=\"51192832\"] \n  12 -> 29 [size =\"51192832\"]\n  13 [size=\"101746688\", alpha=\"0.18\", expect_size=\"50873344\"] \n  13 -> 30 [size =\"50873344\"]\n  14 [size=\"73246720\", alpha=\"0.19\", expect_size=\"36623360\"] \n  14 -> 28 [size =\"36623360\"]\n  14 -> 29 [size =\"36623360\"]\n  14 -> 30 [size =\"36623360\"]\n  15 [size=\"16791552\", alpha=\"0.13\", expect_size=\"8395776\"] \n  15 -> 23 [size =\"8395776\"]\n  15 -> 25 [size =\"8395776\"]\n  15 -> 27 [size =\"8395776\"]\n  15 -> 29 [size =\"8395776\"]\n  16 [size=\"96165888\", alpha=\"0.11\", expect_size=\"48082944\"] \n  16 -> 23 [size =\"48082944\"]\n  16 -> 26 [size =\"48082944\"]\n  16 -> 28 [size =\"48082944\"]\n  16 -> 29 [size =\"48082944\"]\n  17 [size=\"50012160\", alpha=\"0.04\", expect_size=\"25006080\"] \n  17 -> 23 [size =\"25006080\"]\n  17 -> 28 [size =\"25006080\"]\n  17 -> 29 [size =\"25006080\"]\n  18 [size=\"97648640\", alpha=\"0.13\", expect_size=\"48824320\"] \n  19 [size=\"28549120\", alpha=\"0.05\", expect_size=\"14274560\"] \n  19 -> 24 [size =\"14274560\"]\n  19 -> 25 [size =\"14274560\"]\n  19 -> 26 [size =\"14274560\"]\n  19 -> 28 [size =\"14274560\"]\n  19 -> 30 [size =\"14274560\"]\n  20 [size=\"30879744\", alpha=\"0.18\", expect_size=\"15439872\"] \n  20 -> 24 [size =\"15439872\"]\n  21 [size=\"43724800\", alpha=\"0.17\", expect_size=\"21862400\"] \n  21 -> 23 [size =\"21862400\"]\n  21 -> 26 [size =\"21862400\"]\n  21 -> 29 [size =\"21862400\"]\n  22 [size=\"95524864\", alpha=\"0.17\", expect_size=\"47762432\"] \n  22 -> 25 [size =\"47762432\"]\n  22 -> 26 [size =\"47762432\"]\n  22 -> 28 [size =\"47762432\"]\n  22 -> 29 [size =\"47762432\"]\n  23 [size=\"69429248\", alpha=\"0.06\", expect_size=\"34714624\"] \n  24 [size=\"62056448\", alpha=\"0.10\", expect_size=\"31028224\"] \n  25 [size=\"59410432\", alpha=\"0.04\", expect_size=\"29705216\"] \n  26 [size=\"27144192\", alpha=\"0.10\", expect_size=\"13572096\"] \n  27 [size=\"77322240\", alpha=\"0.03\", expect_size=\"38661120\"] \n  28 [size=\"97878016\", alpha=\"0.15\", expect_size=\"48939008\"] \n  29 [size=\"64350208\", alpha=\"0.02\", expect_size=\"32175104\"] \n  30 [size=\"89903104\", alpha=\"0.10\", expect_size=\"44951552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118192640\", alpha=\"0.16\", expect_size=\"47277056\"] \n  1 -> 19 [size =\"47277056\"]\n  1 -> 21 [size =\"47277056\"]\n  1 -> 24 [size =\"47277056\"]\n  1 -> 26 [size =\"47277056\"]\n  1 -> 27 [size =\"47277056\"]\n  1 -> 28 [size =\"47277056\"]\n  1 -> 29 [size =\"47277056\"]\n  2 [size=\"19650560\", alpha=\"0.05\", expect_size=\"7860224\"] \n  2 -> 18 [size =\"7860224\"]\n  2 -> 19 [size =\"7860224\"]\n  2 -> 20 [size =\"7860224\"]\n  2 -> 21 [size =\"7860224\"]\n  2 -> 25 [size =\"7860224\"]\n  2 -> 26 [size =\"7860224\"]\n  2 -> 27 [size =\"7860224\"]\n  2 -> 28 [size =\"7860224\"]\n  2 -> 29 [size =\"7860224\"]\n  3 [size=\"24683520\", alpha=\"0.14\", expect_size=\"9873408\"] \n  3 -> 19 [size =\"9873408\"]\n  3 -> 23 [size =\"9873408\"]\n  3 -> 26 [size =\"9873408\"]\n  3 -> 27 [size =\"9873408\"]\n  3 -> 28 [size =\"9873408\"]\n  4 [size=\"73809920\", alpha=\"0.03\", expect_size=\"29523968\"] \n  4 -> 23 [size =\"29523968\"]\n  4 -> 26 [size =\"29523968\"]\n  4 -> 26 [size =\"29523968\"]\n  4 -> 27 [size =\"29523968\"]\n  4 -> 29 [size =\"29523968\"]\n  5 [size=\"57518080\", alpha=\"0.11\", expect_size=\"23007232\"] \n  5 -> 23 [size =\"23007232\"]\n  5 -> 24 [size =\"23007232\"]\n  5 -> 26 [size =\"23007232\"]\n  5 -> 29 [size =\"23007232\"]\n  5 -> 30 [size =\"23007232\"]\n  6 [size=\"114506240\", alpha=\"0.04\", expect_size=\"45802496\"] \n  6 -> 18 [size =\"45802496\"]\n  6 -> 21 [size =\"45802496\"]\n  6 -> 24 [size =\"45802496\"]\n  6 -> 26 [size =\"45802496\"]\n  6 -> 28 [size =\"45802496\"]\n  6 -> 29 [size =\"45802496\"]\n  7 [size=\"30080000\", alpha=\"0.02\", expect_size=\"12032000\"] \n  7 -> 18 [size =\"12032000\"]\n  7 -> 19 [size =\"12032000\"]\n  7 -> 20 [size =\"12032000\"]\n  7 -> 21 [size =\"12032000\"]\n  7 -> 22 [size =\"12032000\"]\n  7 -> 23 [size =\"12032000\"]\n  7 -> 24 [size =\"12032000\"]\n  7 -> 26 [size =\"12032000\"]\n  7 -> 28 [size =\"12032000\"]\n  7 -> 29 [size =\"12032000\"]\n  8 [size=\"99601920\", alpha=\"0.08\", expect_size=\"39840768\"] \n  8 -> 18 [size =\"39840768\"]\n  8 -> 19 [size =\"39840768\"]\n  8 -> 21 [size =\"39840768\"]\n  8 -> 23 [size =\"39840768\"]\n  8 -> 27 [size =\"39840768\"]\n  8 -> 28 [size =\"39840768\"]\n  8 -> 29 [size =\"39840768\"]\n  9 [size=\"33308160\", alpha=\"0.06\", expect_size=\"13323264\"] \n  9 -> 18 [size =\"13323264\"]\n  9 -> 20 [size =\"13323264\"]\n  9 -> 23 [size =\"13323264\"]\n  9 -> 23 [size =\"13323264\"]\n  9 -> 24 [size =\"13323264\"]\n  9 -> 27 [size =\"13323264\"]\n  9 -> 29 [size =\"13323264\"]\n  9 -> 30 [size =\"13323264\"]\n  10 [size=\"87851520\", alpha=\"0.11\", expect_size=\"35140608\"] \n  10 -> 21 [size =\"35140608\"]\n  10 -> 22 [size =\"35140608\"]\n  10 -> 23 [size =\"35140608\"]\n  10 -> 26 [size =\"35140608\"]\n  10 -> 27 [size =\"35140608\"]\n  10 -> 29 [size =\"35140608\"]\n  10 -> 29 [size =\"35140608\"]\n  11 [size=\"21140480\", alpha=\"0.09\", expect_size=\"8456192\"] \n  11 -> 18 [size =\"8456192\"]\n  11 -> 19 [size =\"8456192\"]\n  11 -> 21 [size =\"8456192\"]\n  11 -> 23 [size =\"8456192\"]\n  11 -> 24 [size =\"8456192\"]\n  11 -> 25 [size =\"8456192\"]\n  11 -> 26 [size =\"8456192\"]\n  11 -> 27 [size =\"8456192\"]\n  11 -> 29 [size =\"8456192\"]\n  12 [size=\"112834560\", alpha=\"0.16\", expect_size=\"45133824\"] \n  12 -> 18 [size =\"45133824\"]\n  12 -> 21 [size =\"45133824\"]\n  12 -> 23 [size =\"45133824\"]\n  12 -> 23 [size =\"45133824\"]\n  12 -> 24 [size =\"45133824\"]\n  12 -> 25 [size =\"45133824\"]\n  12 -> 26 [size =\"45133824\"]\n  12 -> 28 [size =\"45133824\"]\n  13 [size=\"25612800\", alpha=\"0.17\", expect_size=\"10245120\"] \n  13 -> 18 [size =\"10245120\"]\n  13 -> 20 [size =\"10245120\"]\n  13 -> 21 [size =\"10245120\"]\n  13 -> 22 [size =\"10245120\"]\n  13 -> 26 [size =\"10245120\"]\n  13 -> 27 [size =\"10245120\"]\n  13 -> 29 [size =\"10245120\"]\n  14 [size=\"109680640\", alpha=\"0.18\", expect_size=\"43872256\"] \n  14 -> 18 [size =\"43872256\"]\n  14 -> 22 [size =\"43872256\"]\n  14 -> 24 [size =\"43872256\"]\n  14 -> 27 [size =\"43872256\"]\n  14 -> 28 [size =\"43872256\"]\n  15 [size=\"127170560\", alpha=\"0.06\", expect_size=\"50868224\"] \n  15 -> 18 [size =\"50868224\"]\n  15 -> 19 [size =\"50868224\"]\n  15 -> 20 [size =\"50868224\"]\n  15 -> 21 [size =\"50868224\"]\n  15 -> 22 [size =\"50868224\"]\n  15 -> 24 [size =\"50868224\"]\n  15 -> 25 [size =\"50868224\"]\n  15 -> 26 [size =\"50868224\"]\n  15 -> 27 [size =\"50868224\"]\n  15 -> 28 [size =\"50868224\"]\n  16 [size=\"73272320\", alpha=\"0.16\", expect_size=\"29308928\"] \n  16 -> 25 [size =\"29308928\"]\n  16 -> 26 [size =\"29308928\"]\n  16 -> 27 [size =\"29308928\"]\n  16 -> 28 [size =\"29308928\"]\n  16 -> 29 [size =\"29308928\"]\n  17 [size=\"95697920\", alpha=\"0.14\", expect_size=\"38279168\"] \n  17 -> 18 [size =\"38279168\"]\n  17 -> 19 [size =\"38279168\"]\n  17 -> 20 [size =\"38279168\"]\n  17 -> 21 [size =\"38279168\"]\n  17 -> 23 [size =\"38279168\"]\n  17 -> 24 [size =\"38279168\"]\n  17 -> 26 [size =\"38279168\"]\n  17 -> 27 [size =\"38279168\"]\n  17 -> 28 [size =\"38279168\"]\n  17 -> 29 [size =\"38279168\"]\n  18 [size=\"105528320\", alpha=\"0.03\", expect_size=\"42211328\"] \n  19 [size=\"31874560\", alpha=\"0.05\", expect_size=\"12749824\"] \n  20 [size=\"67200000\", alpha=\"0.01\", expect_size=\"26880000\"] \n  21 [size=\"130019840\", alpha=\"0.14\", expect_size=\"52007936\"] \n  22 [size=\"64089600\", alpha=\"0.09\", expect_size=\"25635840\"] \n  23 [size=\"38904320\", alpha=\"0.05\", expect_size=\"15561728\"] \n  24 [size=\"22010880\", alpha=\"0.12\", expect_size=\"8804352\"] \n  25 [size=\"127475200\", alpha=\"0.06\", expect_size=\"50990080\"] \n  26 [size=\"47741440\", alpha=\"0.18\", expect_size=\"19096576\"] \n  27 [size=\"23772160\", alpha=\"0.12\", expect_size=\"9508864\"] \n  28 [size=\"107310080\", alpha=\"0.01\", expect_size=\"42924032\"] \n  29 [size=\"125040640\", alpha=\"0.14\", expect_size=\"50016256\"] \n  30 [size=\"38853120\", alpha=\"0.19\", expect_size=\"15541248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61077504\", alpha=\"0.11\", expect_size=\"30538752\"] \n  1 -> 2 [size =\"30538752\"]\n  2 [size=\"14043136\", alpha=\"0.04\", expect_size=\"7021568\"] \n  2 -> 3 [size =\"7021568\"]\n  3 [size=\"61585408\", alpha=\"0.01\", expect_size=\"30792704\"] \n  3 -> 4 [size =\"30792704\"]\n  4 [size=\"82075648\", alpha=\"0.16\", expect_size=\"41037824\"] \n  4 -> 5 [size =\"41037824\"]\n  5 [size=\"20549632\", alpha=\"0.11\", expect_size=\"10274816\"] \n  5 -> 6 [size =\"10274816\"]\n  6 [size=\"55592960\", alpha=\"0.10\", expect_size=\"27796480\"] \n  6 -> 7 [size =\"27796480\"]\n  7 [size=\"46348288\", alpha=\"0.10\", expect_size=\"23174144\"] \n  7 -> 8 [size =\"23174144\"]\n  8 [size=\"27971584\", alpha=\"0.00\", expect_size=\"13985792\"] \n  8 -> 9 [size =\"13985792\"]\n  9 [size=\"74715136\", alpha=\"0.07\", expect_size=\"37357568\"] \n  9 -> 10 [size =\"37357568\"]\n  10 [size=\"38324224\", alpha=\"0.07\", expect_size=\"19162112\"] \n  10 -> 11 [size =\"19162112\"]\n  11 [size=\"18438144\", alpha=\"0.07\", expect_size=\"9219072\"] \n  11 -> 12 [size =\"9219072\"]\n  12 [size=\"70817792\", alpha=\"0.17\", expect_size=\"35408896\"] \n  12 -> 13 [size =\"35408896\"]\n  13 [size=\"90294272\", alpha=\"0.09\", expect_size=\"45147136\"] \n  13 -> 14 [size =\"45147136\"]\n  14 [size=\"96333824\", alpha=\"0.15\", expect_size=\"48166912\"] \n  14 -> 15 [size =\"48166912\"]\n  15 [size=\"77811712\", alpha=\"0.19\", expect_size=\"38905856\"] \n  15 -> 16 [size =\"38905856\"]\n  16 [size=\"36759552\", alpha=\"0.19\", expect_size=\"18379776\"] \n  16 -> 17 [size =\"18379776\"]\n  17 [size=\"82284544\", alpha=\"0.18\", expect_size=\"41142272\"] \n  17 -> 18 [size =\"41142272\"]\n  18 [size=\"35964928\", alpha=\"0.06\", expect_size=\"17982464\"] \n  18 -> 19 [size =\"17982464\"]\n  19 [size=\"37220352\", alpha=\"0.04\", expect_size=\"18610176\"] \n  19 -> 20 [size =\"18610176\"]\n  20 [size=\"71702528\", alpha=\"0.11\", expect_size=\"35851264\"] \n  20 -> 21 [size =\"35851264\"]\n  21 [size=\"12322816\", alpha=\"0.10\", expect_size=\"6161408\"] \n  21 -> 22 [size =\"6161408\"]\n  22 [size=\"43436032\", alpha=\"0.09\", expect_size=\"21718016\"] \n  22 -> 23 [size =\"21718016\"]\n  23 [size=\"28504064\", alpha=\"0.19\", expect_size=\"14252032\"] \n  23 -> 24 [size =\"14252032\"]\n  24 [size=\"68757504\", alpha=\"0.05\", expect_size=\"34378752\"] \n  24 -> 25 [size =\"34378752\"]\n  25 [size=\"45850624\", alpha=\"0.12\", expect_size=\"22925312\"] \n  25 -> 26 [size =\"22925312\"]\n  26 [size=\"39778304\", alpha=\"0.09\", expect_size=\"19889152\"] \n  26 -> 27 [size =\"19889152\"]\n  27 [size=\"37201920\", alpha=\"0.14\", expect_size=\"18600960\"] \n  27 -> 28 [size =\"18600960\"]\n  28 [size=\"25919488\", alpha=\"0.02\", expect_size=\"12959744\"] \n  28 -> 29 [size =\"12959744\"]\n  29 [size=\"56317952\", alpha=\"0.04\", expect_size=\"28158976\"] \n  29 -> 30 [size =\"28158976\"]\n  30 [size=\"73523200\", alpha=\"0.12\", expect_size=\"36761600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67997013\", alpha=\"0.05\", expect_size=\"20399104\"] \n  2 [size=\"121866240\", alpha=\"0.07\", expect_size=\"36559872\"] \n  2 -> 5 [size =\"36559872\"]\n  3 [size=\"71731200\", alpha=\"0.05\", expect_size=\"21519360\"] \n  3 -> 4 [size =\"21519360\"]\n  4 [size=\"162068480\", alpha=\"0.17\", expect_size=\"48620544\"] \n  4 -> 8 [size =\"48620544\"]\n  4 -> 9 [size =\"48620544\"]\n  4 -> 10 [size =\"48620544\"]\n  5 [size=\"86152533\", alpha=\"0.18\", expect_size=\"25845760\"] \n  5 -> 6 [size =\"25845760\"]\n  5 -> 7 [size =\"25845760\"]\n  5 -> 8 [size =\"25845760\"]\n  6 [size=\"131003733\", alpha=\"0.06\", expect_size=\"39301120\"] \n  6 -> 13 [size =\"39301120\"]\n  6 -> 14 [size =\"39301120\"]\n  7 [size=\"19865600\", alpha=\"0.03\", expect_size=\"5959680\"] \n  7 -> 12 [size =\"5959680\"]\n  7 -> 14 [size =\"5959680\"]\n  7 -> 15 [size =\"5959680\"]\n  8 [size=\"79557973\", alpha=\"0.07\", expect_size=\"23867392\"] \n  9 [size=\"93347840\", alpha=\"0.00\", expect_size=\"28004352\"] \n  9 -> 11 [size =\"28004352\"]\n  10 [size=\"95593813\", alpha=\"0.06\", expect_size=\"28678144\"] \n  10 -> 14 [size =\"28678144\"]\n  11 [size=\"165041493\", alpha=\"0.14\", expect_size=\"49512448\"] \n  12 [size=\"47267840\", alpha=\"0.07\", expect_size=\"14180352\"] \n  12 -> 16 [size =\"14180352\"]\n  13 [size=\"103243093\", alpha=\"0.12\", expect_size=\"30972928\"] \n  14 [size=\"145684480\", alpha=\"0.07\", expect_size=\"43705344\"] \n  15 [size=\"120118613\", alpha=\"0.10\", expect_size=\"36035584\"] \n  15 -> 17 [size =\"36035584\"]\n  16 [size=\"103461547\", alpha=\"0.07\", expect_size=\"31038464\"] \n  16 -> 18 [size =\"31038464\"]\n  16 -> 19 [size =\"31038464\"]\n  16 -> 21 [size =\"31038464\"]\n  16 -> 22 [size =\"31038464\"]\n  16 -> 23 [size =\"31038464\"]\n  16 -> 24 [size =\"31038464\"]\n  17 [size=\"149350400\", alpha=\"0.05\", expect_size=\"44805120\"] \n  17 -> 20 [size =\"44805120\"]\n  18 [size=\"18432000\", alpha=\"0.10\", expect_size=\"5529600\"] \n  18 -> 26 [size =\"5529600\"]\n  18 -> 27 [size =\"5529600\"]\n  19 [size=\"70830080\", alpha=\"0.07\", expect_size=\"21249024\"] \n  19 -> 26 [size =\"21249024\"]\n  20 [size=\"74096640\", alpha=\"0.02\", expect_size=\"22228992\"] \n  20 -> 25 [size =\"22228992\"]\n  20 -> 26 [size =\"22228992\"]\n  20 -> 27 [size =\"22228992\"]\n  21 [size=\"122641067\", alpha=\"0.04\", expect_size=\"36792320\"] \n  21 -> 25 [size =\"36792320\"]\n  22 [size=\"77933227\", alpha=\"0.20\", expect_size=\"23379968\"] \n  22 -> 25 [size =\"23379968\"]\n  23 [size=\"133956267\", alpha=\"0.02\", expect_size=\"40186880\"] \n  23 -> 25 [size =\"40186880\"]\n  23 -> 26 [size =\"40186880\"]\n  24 [size=\"74577920\", alpha=\"0.03\", expect_size=\"22373376\"] \n  24 -> 26 [size =\"22373376\"]\n  24 -> 27 [size =\"22373376\"]\n  25 [size=\"132119893\", alpha=\"0.12\", expect_size=\"39635968\"] \n  25 -> 28 [size =\"39635968\"]\n  25 -> 29 [size =\"39635968\"]\n  25 -> 30 [size =\"39635968\"]\n  26 [size=\"52196693\", alpha=\"0.16\", expect_size=\"15659008\"] \n  26 -> 30 [size =\"15659008\"]\n  27 [size=\"107298133\", alpha=\"0.20\", expect_size=\"32189440\"] \n  27 -> 28 [size =\"32189440\"]\n  28 [size=\"146554880\", alpha=\"0.12\", expect_size=\"43966464\"] \n  29 [size=\"66443947\", alpha=\"0.14\", expect_size=\"19933184\"] \n  30 [size=\"118923947\", alpha=\"0.05\", expect_size=\"35677184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53510827\", alpha=\"0.08\", expect_size=\"16053248\"] \n  1 -> 2 [size =\"16053248\"]\n  2 [size=\"103212373\", alpha=\"0.13\", expect_size=\"30963712\"] \n  2 -> 3 [size =\"30963712\"]\n  3 [size=\"154606933\", alpha=\"0.06\", expect_size=\"46382080\"] \n  3 -> 4 [size =\"46382080\"]\n  4 [size=\"162095787\", alpha=\"0.01\", expect_size=\"48628736\"] \n  4 -> 5 [size =\"48628736\"]\n  5 [size=\"133201920\", alpha=\"0.03\", expect_size=\"39960576\"] \n  5 -> 6 [size =\"39960576\"]\n  6 [size=\"25777493\", alpha=\"0.03\", expect_size=\"7733248\"] \n  6 -> 7 [size =\"7733248\"]\n  7 [size=\"23063893\", alpha=\"0.03\", expect_size=\"6919168\"] \n  7 -> 8 [size =\"6919168\"]\n  8 [size=\"59770880\", alpha=\"0.17\", expect_size=\"17931264\"] \n  8 -> 9 [size =\"17931264\"]\n  9 [size=\"172171947\", alpha=\"0.02\", expect_size=\"51651584\"] \n  9 -> 10 [size =\"51651584\"]\n  10 [size=\"150766933\", alpha=\"0.03\", expect_size=\"45230080\"] \n  10 -> 11 [size =\"45230080\"]\n  11 [size=\"97501867\", alpha=\"0.06\", expect_size=\"29250560\"] \n  11 -> 12 [size =\"29250560\"]\n  12 [size=\"160945493\", alpha=\"0.09\", expect_size=\"48283648\"] \n  12 -> 13 [size =\"48283648\"]\n  13 [size=\"106888533\", alpha=\"0.06\", expect_size=\"32066560\"] \n  13 -> 14 [size =\"32066560\"]\n  14 [size=\"151125333\", alpha=\"0.08\", expect_size=\"45337600\"] \n  14 -> 15 [size =\"45337600\"]\n  15 [size=\"162856960\", alpha=\"0.16\", expect_size=\"48857088\"] \n  15 -> 16 [size =\"48857088\"]\n  16 [size=\"28061013\", alpha=\"0.06\", expect_size=\"8418304\"] \n  16 -> 17 [size =\"8418304\"]\n  17 [size=\"51056640\", alpha=\"0.06\", expect_size=\"15316992\"] \n  17 -> 18 [size =\"15316992\"]\n  18 [size=\"73065813\", alpha=\"0.14\", expect_size=\"21919744\"] \n  18 -> 19 [size =\"21919744\"]\n  19 [size=\"50517333\", alpha=\"0.07\", expect_size=\"15155200\"] \n  19 -> 20 [size =\"15155200\"]\n  20 [size=\"63092053\", alpha=\"0.15\", expect_size=\"18927616\"] \n  20 -> 21 [size =\"18927616\"]\n  21 [size=\"84428800\", alpha=\"0.07\", expect_size=\"25328640\"] \n  21 -> 22 [size =\"25328640\"]\n  22 [size=\"130781867\", alpha=\"0.10\", expect_size=\"39234560\"] \n  22 -> 23 [size =\"39234560\"]\n  23 [size=\"40663040\", alpha=\"0.11\", expect_size=\"12198912\"] \n  23 -> 24 [size =\"12198912\"]\n  24 [size=\"87473493\", alpha=\"0.10\", expect_size=\"26242048\"] \n  24 -> 25 [size =\"26242048\"]\n  25 [size=\"153774080\", alpha=\"0.03\", expect_size=\"46132224\"] \n  25 -> 26 [size =\"46132224\"]\n  26 [size=\"122337280\", alpha=\"0.18\", expect_size=\"36701184\"] \n  26 -> 27 [size =\"36701184\"]\n  27 [size=\"168625493\", alpha=\"0.13\", expect_size=\"50587648\"] \n  27 -> 28 [size =\"50587648\"]\n  28 [size=\"61265920\", alpha=\"0.14\", expect_size=\"18379776\"] \n  28 -> 29 [size =\"18379776\"]\n  29 [size=\"171161600\", alpha=\"0.14\", expect_size=\"51348480\"] \n  29 -> 30 [size =\"51348480\"]\n  30 [size=\"72785920\", alpha=\"0.12\", expect_size=\"21835776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68263936\", alpha=\"0.05\", expect_size=\"34131968\"] \n  1 -> 14 [size =\"34131968\"]\n  1 -> 17 [size =\"34131968\"]\n  1 -> 23 [size =\"34131968\"]\n  2 [size=\"100974592\", alpha=\"0.03\", expect_size=\"50487296\"] \n  2 -> 17 [size =\"50487296\"]\n  2 -> 17 [size =\"50487296\"]\n  2 -> 18 [size =\"50487296\"]\n  2 -> 20 [size =\"50487296\"]\n  2 -> 21 [size =\"50487296\"]\n  2 -> 23 [size =\"50487296\"]\n  3 [size=\"50219008\", alpha=\"0.13\", expect_size=\"25109504\"] \n  3 -> 14 [size =\"25109504\"]\n  3 -> 15 [size =\"25109504\"]\n  3 -> 18 [size =\"25109504\"]\n  3 -> 19 [size =\"25109504\"]\n  3 -> 23 [size =\"25109504\"]\n  4 [size=\"15716352\", alpha=\"0.06\", expect_size=\"7858176\"] \n  4 -> 14 [size =\"7858176\"]\n  4 -> 15 [size =\"7858176\"]\n  4 -> 17 [size =\"7858176\"]\n  4 -> 18 [size =\"7858176\"]\n  4 -> 19 [size =\"7858176\"]\n  4 -> 23 [size =\"7858176\"]\n  5 [size=\"13570048\", alpha=\"0.10\", expect_size=\"6785024\"] \n  5 -> 18 [size =\"6785024\"]\n  5 -> 22 [size =\"6785024\"]\n  5 -> 23 [size =\"6785024\"]\n  6 [size=\"49475584\", alpha=\"0.08\", expect_size=\"24737792\"] \n  6 -> 14 [size =\"24737792\"]\n  6 -> 15 [size =\"24737792\"]\n  6 -> 18 [size =\"24737792\"]\n  6 -> 19 [size =\"24737792\"]\n  6 -> 20 [size =\"24737792\"]\n  6 -> 23 [size =\"24737792\"]\n  7 [size=\"54272000\", alpha=\"0.19\", expect_size=\"27136000\"] \n  7 -> 19 [size =\"27136000\"]\n  8 [size=\"81352704\", alpha=\"0.06\", expect_size=\"40676352\"] \n  8 -> 14 [size =\"40676352\"]\n  8 -> 15 [size =\"40676352\"]\n  8 -> 17 [size =\"40676352\"]\n  8 -> 19 [size =\"40676352\"]\n  9 [size=\"18950144\", alpha=\"0.06\", expect_size=\"9475072\"] \n  9 -> 16 [size =\"9475072\"]\n  9 -> 19 [size =\"9475072\"]\n  9 -> 20 [size =\"9475072\"]\n  9 -> 21 [size =\"9475072\"]\n  10 [size=\"100839424\", alpha=\"0.17\", expect_size=\"50419712\"] \n  10 -> 14 [size =\"50419712\"]\n  10 -> 18 [size =\"50419712\"]\n  10 -> 19 [size =\"50419712\"]\n  10 -> 20 [size =\"50419712\"]\n  10 -> 21 [size =\"50419712\"]\n  11 [size=\"46168064\", alpha=\"0.09\", expect_size=\"23084032\"] \n  11 -> 17 [size =\"23084032\"]\n  11 -> 19 [size =\"23084032\"]\n  11 -> 20 [size =\"23084032\"]\n  12 [size=\"71428096\", alpha=\"0.14\", expect_size=\"35714048\"] \n  12 -> 14 [size =\"35714048\"]\n  12 -> 15 [size =\"35714048\"]\n  12 -> 17 [size =\"35714048\"]\n  13 [size=\"86312960\", alpha=\"0.10\", expect_size=\"43156480\"] \n  13 -> 23 [size =\"43156480\"]\n  14 [size=\"52248576\", alpha=\"0.03\", expect_size=\"26124288\"] \n  14 -> 25 [size =\"26124288\"]\n  14 -> 26 [size =\"26124288\"]\n  14 -> 29 [size =\"26124288\"]\n  15 [size=\"80461824\", alpha=\"0.01\", expect_size=\"40230912\"] \n  15 -> 24 [size =\"40230912\"]\n  16 [size=\"34193408\", alpha=\"0.17\", expect_size=\"17096704\"] \n  16 -> 24 [size =\"17096704\"]\n  16 -> 27 [size =\"17096704\"]\n  17 [size=\"69695488\", alpha=\"0.09\", expect_size=\"34847744\"] \n  17 -> 24 [size =\"34847744\"]\n  18 [size=\"65398784\", alpha=\"0.03\", expect_size=\"32699392\"] \n  18 -> 24 [size =\"32699392\"]\n  19 [size=\"91869184\", alpha=\"0.18\", expect_size=\"45934592\"] \n  20 [size=\"24424448\", alpha=\"0.09\", expect_size=\"12212224\"] \n  20 -> 26 [size =\"12212224\"]\n  20 -> 30 [size =\"12212224\"]\n  21 [size=\"10506240\", alpha=\"0.12\", expect_size=\"5253120\"] \n  21 -> 27 [size =\"5253120\"]\n  21 -> 29 [size =\"5253120\"]\n  22 [size=\"55085056\", alpha=\"0.14\", expect_size=\"27542528\"] \n  22 -> 24 [size =\"27542528\"]\n  22 -> 26 [size =\"27542528\"]\n  22 -> 27 [size =\"27542528\"]\n  22 -> 30 [size =\"27542528\"]\n  23 [size=\"25440256\", alpha=\"0.05\", expect_size=\"12720128\"] \n  23 -> 26 [size =\"12720128\"]\n  23 -> 27 [size =\"12720128\"]\n  23 -> 27 [size =\"12720128\"]\n  23 -> 28 [size =\"12720128\"]\n  23 -> 29 [size =\"12720128\"]\n  24 [size=\"72280064\", alpha=\"0.17\", expect_size=\"36140032\"] \n  25 [size=\"87953408\", alpha=\"0.10\", expect_size=\"43976704\"] \n  26 [size=\"90769408\", alpha=\"0.11\", expect_size=\"45384704\"] \n  27 [size=\"76048384\", alpha=\"0.01\", expect_size=\"38024192\"] \n  28 [size=\"25323520\", alpha=\"0.07\", expect_size=\"12661760\"] \n  29 [size=\"38520832\", alpha=\"0.14\", expect_size=\"19260416\"] \n  30 [size=\"26738688\", alpha=\"0.20\", expect_size=\"13369344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random30_test/random.30.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:04:17 2019\n// ./daggen --dot -n 30 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12271616\", alpha=\"0.00\", expect_size=\"6135808\"] \n  1 -> 2 [size =\"6135808\"]\n  2 [size=\"75991040\", alpha=\"0.03\", expect_size=\"37995520\"] \n  2 -> 3 [size =\"37995520\"]\n  2 -> 4 [size =\"37995520\"]\n  3 [size=\"29044736\", alpha=\"0.18\", expect_size=\"14522368\"] \n  3 -> 5 [size =\"14522368\"]\n  4 [size=\"96241664\", alpha=\"0.19\", expect_size=\"48120832\"] \n  5 [size=\"38887424\", alpha=\"0.04\", expect_size=\"19443712\"] \n  5 -> 6 [size =\"19443712\"]\n  6 [size=\"84809728\", alpha=\"0.18\", expect_size=\"42404864\"] \n  6 -> 7 [size =\"42404864\"]\n  6 -> 8 [size =\"42404864\"]\n  7 [size=\"18944000\", alpha=\"0.10\", expect_size=\"9472000\"] \n  7 -> 9 [size =\"9472000\"]\n  7 -> 10 [size =\"9472000\"]\n  8 [size=\"49866752\", alpha=\"0.07\", expect_size=\"24933376\"] \n  9 [size=\"75474944\", alpha=\"0.16\", expect_size=\"37737472\"] \n  10 [size=\"96694272\", alpha=\"0.12\", expect_size=\"48347136\"] \n  10 -> 11 [size =\"48347136\"]\n  11 [size=\"62300160\", alpha=\"0.03\", expect_size=\"31150080\"] \n  11 -> 12 [size =\"31150080\"]\n  12 [size=\"64339968\", alpha=\"0.17\", expect_size=\"32169984\"] \n  12 -> 13 [size =\"32169984\"]\n  12 -> 14 [size =\"32169984\"]\n  13 [size=\"76920832\", alpha=\"0.07\", expect_size=\"38460416\"] \n  14 [size=\"69142528\", alpha=\"0.11\", expect_size=\"34571264\"] \n  14 -> 15 [size =\"34571264\"]\n  15 [size=\"64724992\", alpha=\"0.05\", expect_size=\"32362496\"] \n  15 -> 16 [size =\"32362496\"]\n  15 -> 17 [size =\"32362496\"]\n  16 [size=\"84123648\", alpha=\"0.14\", expect_size=\"42061824\"] \n  16 -> 18 [size =\"42061824\"]\n  16 -> 19 [size =\"42061824\"]\n  17 [size=\"73404416\", alpha=\"0.08\", expect_size=\"36702208\"] \n  18 [size=\"24033280\", alpha=\"0.01\", expect_size=\"12016640\"] \n  19 [size=\"55646208\", alpha=\"0.09\", expect_size=\"27823104\"] \n  19 -> 20 [size =\"27823104\"]\n  20 [size=\"35555328\", alpha=\"0.09\", expect_size=\"17777664\"] \n  20 -> 21 [size =\"17777664\"]\n  20 -> 22 [size =\"17777664\"]\n  21 [size=\"90953728\", alpha=\"0.09\", expect_size=\"45476864\"] \n  22 [size=\"11675648\", alpha=\"0.02\", expect_size=\"5837824\"] \n  22 -> 23 [size =\"5837824\"]\n  23 [size=\"93837312\", alpha=\"0.20\", expect_size=\"46918656\"] \n  23 -> 24 [size =\"46918656\"]\n  24 [size=\"32675840\", alpha=\"0.16\", expect_size=\"16337920\"] \n  24 -> 25 [size =\"16337920\"]\n  24 -> 26 [size =\"16337920\"]\n  25 [size=\"83818496\", alpha=\"0.18\", expect_size=\"41909248\"] \n  25 -> 28 [size =\"41909248\"]\n  26 [size=\"13768704\", alpha=\"0.15\", expect_size=\"6884352\"] \n  26 -> 27 [size =\"6884352\"]\n  27 [size=\"78176256\", alpha=\"0.15\", expect_size=\"39088128\"] \n  28 [size=\"19230720\", alpha=\"0.02\", expect_size=\"9615360\"] \n  28 -> 29 [size =\"9615360\"]\n  28 -> 30 [size =\"9615360\"]\n  29 [size=\"22097920\", alpha=\"0.04\", expect_size=\"11048960\"] \n  30 [size=\"66119680\", alpha=\"0.04\", expect_size=\"33059840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50037760\", alpha=\"0.09\", expect_size=\"20015104\"] \n  1 -> 2 [size =\"20015104\"]\n  2 [size=\"84792320\", alpha=\"0.20\", expect_size=\"33916928\"] \n  2 -> 3 [size =\"33916928\"]\n  3 [size=\"95943680\", alpha=\"0.16\", expect_size=\"38377472\"] \n  3 -> 4 [size =\"38377472\"]\n  4 [size=\"117649920\", alpha=\"0.14\", expect_size=\"47059968\"] \n  4 -> 5 [size =\"47059968\"]\n  5 [size=\"80588800\", alpha=\"0.09\", expect_size=\"32235520\"] \n  5 -> 6 [size =\"32235520\"]\n  6 [size=\"76047360\", alpha=\"0.07\", expect_size=\"30418944\"] \n  6 -> 7 [size =\"30418944\"]\n  7 [size=\"24240640\", alpha=\"0.07\", expect_size=\"9696256\"] \n  7 -> 8 [size =\"9696256\"]\n  8 [size=\"55969280\", alpha=\"0.02\", expect_size=\"22387712\"] \n  8 -> 9 [size =\"22387712\"]\n  9 [size=\"78763520\", alpha=\"0.15\", expect_size=\"31505408\"] \n  9 -> 10 [size =\"31505408\"]\n  10 [size=\"65835520\", alpha=\"0.17\", expect_size=\"26334208\"] \n  10 -> 11 [size =\"26334208\"]\n  11 [size=\"33256960\", alpha=\"0.03\", expect_size=\"13302784\"] \n  11 -> 12 [size =\"13302784\"]\n  12 [size=\"88952320\", alpha=\"0.11\", expect_size=\"35580928\"] \n  12 -> 13 [size =\"35580928\"]\n  13 [size=\"86991360\", alpha=\"0.17\", expect_size=\"34796544\"] \n  13 -> 14 [size =\"34796544\"]\n  14 [size=\"61317120\", alpha=\"0.00\", expect_size=\"24526848\"] \n  14 -> 15 [size =\"24526848\"]\n  15 [size=\"28047360\", alpha=\"0.17\", expect_size=\"11218944\"] \n  15 -> 16 [size =\"11218944\"]\n  16 [size=\"81164800\", alpha=\"0.00\", expect_size=\"32465920\"] \n  16 -> 17 [size =\"32465920\"]\n  17 [size=\"124984320\", alpha=\"0.19\", expect_size=\"49993728\"] \n  17 -> 18 [size =\"49993728\"]\n  18 [size=\"51210240\", alpha=\"0.16\", expect_size=\"20484096\"] \n  18 -> 19 [size =\"20484096\"]\n  19 [size=\"61286400\", alpha=\"0.18\", expect_size=\"24514560\"] \n  19 -> 20 [size =\"24514560\"]\n  20 [size=\"31557120\", alpha=\"0.06\", expect_size=\"12622848\"] \n  20 -> 21 [size =\"12622848\"]\n  21 [size=\"15226880\", alpha=\"0.01\", expect_size=\"6090752\"] \n  21 -> 22 [size =\"6090752\"]\n  22 [size=\"31987200\", alpha=\"0.08\", expect_size=\"12794880\"] \n  22 -> 23 [size =\"12794880\"]\n  23 [size=\"98746880\", alpha=\"0.08\", expect_size=\"39498752\"] \n  23 -> 24 [size =\"39498752\"]\n  24 [size=\"80545280\", alpha=\"0.07\", expect_size=\"32218112\"] \n  24 -> 25 [size =\"32218112\"]\n  25 [size=\"81218560\", alpha=\"0.17\", expect_size=\"32487424\"] \n  25 -> 26 [size =\"32487424\"]\n  26 [size=\"61847040\", alpha=\"0.18\", expect_size=\"24738816\"] \n  26 -> 27 [size =\"24738816\"]\n  27 [size=\"62540800\", alpha=\"0.00\", expect_size=\"25016320\"] \n  27 -> 28 [size =\"25016320\"]\n  28 [size=\"58723840\", alpha=\"0.10\", expect_size=\"23489536\"] \n  28 -> 29 [size =\"23489536\"]\n  29 [size=\"35189760\", alpha=\"0.11\", expect_size=\"14075904\"] \n  29 -> 30 [size =\"14075904\"]\n  30 [size=\"21342720\", alpha=\"0.01\", expect_size=\"8537088\"] \n  30 -> 31 [size =\"8537088\"]\n  31 [size=\"57006080\", alpha=\"0.14\", expect_size=\"22802432\"] \n  31 -> 32 [size =\"22802432\"]\n  32 [size=\"61148160\", alpha=\"0.01\", expect_size=\"24459264\"] \n  32 -> 33 [size =\"24459264\"]\n  33 [size=\"105456640\", alpha=\"0.19\", expect_size=\"42182656\"] \n  33 -> 34 [size =\"42182656\"]\n  34 [size=\"36835840\", alpha=\"0.06\", expect_size=\"14734336\"] \n  34 -> 35 [size =\"14734336\"]\n  35 [size=\"77800960\", alpha=\"0.16\", expect_size=\"31120384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30592000\", alpha=\"0.05\", expect_size=\"12236800\"] \n  1 -> 2 [size =\"12236800\"]\n  2 [size=\"17390080\", alpha=\"0.19\", expect_size=\"6956032\"] \n  2 -> 3 [size =\"6956032\"]\n  3 [size=\"90286080\", alpha=\"0.01\", expect_size=\"36114432\"] \n  3 -> 4 [size =\"36114432\"]\n  4 [size=\"65909760\", alpha=\"0.19\", expect_size=\"26363904\"] \n  4 -> 5 [size =\"26363904\"]\n  5 [size=\"72570880\", alpha=\"0.11\", expect_size=\"29028352\"] \n  5 -> 6 [size =\"29028352\"]\n  6 [size=\"107338240\", alpha=\"0.02\", expect_size=\"42935296\"] \n  6 -> 7 [size =\"42935296\"]\n  7 [size=\"45824000\", alpha=\"0.02\", expect_size=\"18329600\"] \n  7 -> 8 [size =\"18329600\"]\n  8 [size=\"74460160\", alpha=\"0.04\", expect_size=\"29784064\"] \n  8 -> 9 [size =\"29784064\"]\n  9 [size=\"121313280\", alpha=\"0.02\", expect_size=\"48525312\"] \n  9 -> 10 [size =\"48525312\"]\n  10 [size=\"99558400\", alpha=\"0.12\", expect_size=\"39823360\"] \n  10 -> 11 [size =\"39823360\"]\n  11 [size=\"16330240\", alpha=\"0.14\", expect_size=\"6532096\"] \n  11 -> 12 [size =\"6532096\"]\n  12 [size=\"48307200\", alpha=\"0.10\", expect_size=\"19322880\"] \n  12 -> 13 [size =\"19322880\"]\n  13 [size=\"43476480\", alpha=\"0.01\", expect_size=\"17390592\"] \n  13 -> 14 [size =\"17390592\"]\n  14 [size=\"51648000\", alpha=\"0.09\", expect_size=\"20659200\"] \n  14 -> 15 [size =\"20659200\"]\n  15 [size=\"43883520\", alpha=\"0.11\", expect_size=\"17553408\"] \n  15 -> 16 [size =\"17553408\"]\n  16 [size=\"110487040\", alpha=\"0.12\", expect_size=\"44194816\"] \n  16 -> 17 [size =\"44194816\"]\n  17 [size=\"123197440\", alpha=\"0.05\", expect_size=\"49278976\"] \n  17 -> 18 [size =\"49278976\"]\n  18 [size=\"15331840\", alpha=\"0.03\", expect_size=\"6132736\"] \n  18 -> 19 [size =\"6132736\"]\n  19 [size=\"39521280\", alpha=\"0.10\", expect_size=\"15808512\"] \n  19 -> 20 [size =\"15808512\"]\n  20 [size=\"53644800\", alpha=\"0.02\", expect_size=\"21457920\"] \n  20 -> 21 [size =\"21457920\"]\n  21 [size=\"123619840\", alpha=\"0.17\", expect_size=\"49447936\"] \n  21 -> 22 [size =\"49447936\"]\n  22 [size=\"85639680\", alpha=\"0.13\", expect_size=\"34255872\"] \n  22 -> 23 [size =\"34255872\"]\n  23 [size=\"29048320\", alpha=\"0.02\", expect_size=\"11619328\"] \n  23 -> 24 [size =\"11619328\"]\n  24 [size=\"34429440\", alpha=\"0.20\", expect_size=\"13771776\"] \n  24 -> 25 [size =\"13771776\"]\n  25 [size=\"86136320\", alpha=\"0.08\", expect_size=\"34454528\"] \n  25 -> 26 [size =\"34454528\"]\n  26 [size=\"31162880\", alpha=\"0.12\", expect_size=\"12465152\"] \n  26 -> 27 [size =\"12465152\"]\n  27 [size=\"104243200\", alpha=\"0.01\", expect_size=\"41697280\"] \n  27 -> 28 [size =\"41697280\"]\n  28 [size=\"15165440\", alpha=\"0.01\", expect_size=\"6066176\"] \n  28 -> 29 [size =\"6066176\"]\n  29 [size=\"34987520\", alpha=\"0.20\", expect_size=\"13995008\"] \n  29 -> 30 [size =\"13995008\"]\n  30 [size=\"91225600\", alpha=\"0.13\", expect_size=\"36490240\"] \n  30 -> 31 [size =\"36490240\"]\n  31 [size=\"101552640\", alpha=\"0.06\", expect_size=\"40621056\"] \n  31 -> 32 [size =\"40621056\"]\n  32 [size=\"83453440\", alpha=\"0.06\", expect_size=\"33381376\"] \n  32 -> 33 [size =\"33381376\"]\n  33 [size=\"41208320\", alpha=\"0.10\", expect_size=\"16483328\"] \n  33 -> 34 [size =\"16483328\"]\n  34 [size=\"52003840\", alpha=\"0.01\", expect_size=\"20801536\"] \n  34 -> 35 [size =\"20801536\"]\n  35 [size=\"50672640\", alpha=\"0.18\", expect_size=\"20269056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79188480\", alpha=\"0.01\", expect_size=\"31675392\"] \n  1 -> 2 [size =\"31675392\"]\n  2 [size=\"74222080\", alpha=\"0.08\", expect_size=\"29688832\"] \n  2 -> 3 [size =\"29688832\"]\n  2 -> 4 [size =\"29688832\"]\n  3 [size=\"115266560\", alpha=\"0.13\", expect_size=\"46106624\"] \n  3 -> 5 [size =\"46106624\"]\n  4 [size=\"15459840\", alpha=\"0.03\", expect_size=\"6183936\"] \n  5 [size=\"38218240\", alpha=\"0.17\", expect_size=\"15287296\"] \n  5 -> 6 [size =\"15287296\"]\n  6 [size=\"71459840\", alpha=\"0.03\", expect_size=\"28583936\"] \n  6 -> 7 [size =\"28583936\"]\n  6 -> 8 [size =\"28583936\"]\n  7 [size=\"97131520\", alpha=\"0.06\", expect_size=\"38852608\"] \n  7 -> 9 [size =\"38852608\"]\n  8 [size=\"16519680\", alpha=\"0.08\", expect_size=\"6607872\"] \n  9 [size=\"39874560\", alpha=\"0.18\", expect_size=\"15949824\"] \n  9 -> 10 [size =\"15949824\"]\n  10 [size=\"53803520\", alpha=\"0.00\", expect_size=\"21521408\"] \n  10 -> 11 [size =\"21521408\"]\n  10 -> 12 [size =\"21521408\"]\n  11 [size=\"37020160\", alpha=\"0.03\", expect_size=\"14808064\"] \n  11 -> 13 [size =\"14808064\"]\n  11 -> 14 [size =\"14808064\"]\n  12 [size=\"42731520\", alpha=\"0.03\", expect_size=\"17092608\"] \n  12 -> 14 [size =\"17092608\"]\n  13 [size=\"91712000\", alpha=\"0.13\", expect_size=\"36684800\"] \n  14 [size=\"50810880\", alpha=\"0.15\", expect_size=\"20324352\"] \n  14 -> 15 [size =\"20324352\"]\n  15 [size=\"65574400\", alpha=\"0.11\", expect_size=\"26229760\"] \n  15 -> 16 [size =\"26229760\"]\n  15 -> 17 [size =\"26229760\"]\n  16 [size=\"45957120\", alpha=\"0.00\", expect_size=\"18382848\"] \n  16 -> 18 [size =\"18382848\"]\n  17 [size=\"65251840\", alpha=\"0.13\", expect_size=\"26100736\"] \n  17 -> 18 [size =\"26100736\"]\n  18 [size=\"100346880\", alpha=\"0.05\", expect_size=\"40138752\"] \n  18 -> 19 [size =\"40138752\"]\n  19 [size=\"29760000\", alpha=\"0.12\", expect_size=\"11904000\"] \n  19 -> 20 [size =\"11904000\"]\n  20 [size=\"19914240\", alpha=\"0.04\", expect_size=\"7965696\"] \n  20 -> 21 [size =\"7965696\"]\n  21 [size=\"22551040\", alpha=\"0.07\", expect_size=\"9020416\"] \n  21 -> 22 [size =\"9020416\"]\n  22 [size=\"40867840\", alpha=\"0.00\", expect_size=\"16347136\"] \n  22 -> 23 [size =\"16347136\"]\n  22 -> 24 [size =\"16347136\"]\n  23 [size=\"58739200\", alpha=\"0.11\", expect_size=\"23495680\"] \n  23 -> 25 [size =\"23495680\"]\n  24 [size=\"17664000\", alpha=\"0.02\", expect_size=\"7065600\"] \n  24 -> 25 [size =\"7065600\"]\n  25 [size=\"104414720\", alpha=\"0.17\", expect_size=\"41765888\"] \n  25 -> 26 [size =\"41765888\"]\n  26 [size=\"53880320\", alpha=\"0.02\", expect_size=\"21552128\"] \n  26 -> 27 [size =\"21552128\"]\n  26 -> 28 [size =\"21552128\"]\n  27 [size=\"53949440\", alpha=\"0.01\", expect_size=\"21579776\"] \n  27 -> 29 [size =\"21579776\"]\n  27 -> 30 [size =\"21579776\"]\n  28 [size=\"129469440\", alpha=\"0.01\", expect_size=\"51787776\"] \n  28 -> 29 [size =\"51787776\"]\n  28 -> 30 [size =\"51787776\"]\n  29 [size=\"38950400\", alpha=\"0.06\", expect_size=\"15580160\"] \n  29 -> 31 [size =\"15580160\"]\n  30 [size=\"110768640\", alpha=\"0.17\", expect_size=\"44307456\"] \n  30 -> 31 [size =\"44307456\"]\n  31 [size=\"15720960\", alpha=\"0.13\", expect_size=\"6288384\"] \n  31 -> 32 [size =\"6288384\"]\n  32 [size=\"55818240\", alpha=\"0.13\", expect_size=\"22327296\"] \n  32 -> 33 [size =\"22327296\"]\n  33 [size=\"56245760\", alpha=\"0.07\", expect_size=\"22498304\"] \n  33 -> 34 [size =\"22498304\"]\n  33 -> 35 [size =\"22498304\"]\n  34 [size=\"119168000\", alpha=\"0.07\", expect_size=\"47667200\"] \n  35 [size=\"128972800\", alpha=\"0.16\", expect_size=\"51589120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38678528\", alpha=\"0.09\", expect_size=\"19339264\"] \n  1 -> 8 [size =\"19339264\"]\n  1 -> 11 [size =\"19339264\"]\n  2 [size=\"103727104\", alpha=\"0.01\", expect_size=\"51863552\"] \n  2 -> 7 [size =\"51863552\"]\n  2 -> 8 [size =\"51863552\"]\n  3 [size=\"61478912\", alpha=\"0.17\", expect_size=\"30739456\"] \n  3 -> 9 [size =\"30739456\"]\n  3 -> 11 [size =\"30739456\"]\n  3 -> 12 [size =\"30739456\"]\n  4 [size=\"11626496\", alpha=\"0.18\", expect_size=\"5813248\"] \n  4 -> 7 [size =\"5813248\"]\n  4 -> 8 [size =\"5813248\"]\n  4 -> 9 [size =\"5813248\"]\n  4 -> 10 [size =\"5813248\"]\n  4 -> 12 [size =\"5813248\"]\n  5 [size=\"42530816\", alpha=\"0.16\", expect_size=\"21265408\"] \n  5 -> 10 [size =\"21265408\"]\n  6 [size=\"23693312\", alpha=\"0.19\", expect_size=\"11846656\"] \n  6 -> 10 [size =\"11846656\"]\n  6 -> 11 [size =\"11846656\"]\n  7 [size=\"72146944\", alpha=\"0.07\", expect_size=\"36073472\"] \n  7 -> 13 [size =\"36073472\"]\n  7 -> 14 [size =\"36073472\"]\n  8 [size=\"32088064\", alpha=\"0.08\", expect_size=\"16044032\"] \n  8 -> 14 [size =\"16044032\"]\n  8 -> 16 [size =\"16044032\"]\n  9 [size=\"20334592\", alpha=\"0.18\", expect_size=\"10167296\"] \n  9 -> 14 [size =\"10167296\"]\n  9 -> 16 [size =\"10167296\"]\n  10 [size=\"101285888\", alpha=\"0.05\", expect_size=\"50642944\"] \n  10 -> 14 [size =\"50642944\"]\n  10 -> 15 [size =\"50642944\"]\n  11 [size=\"49922048\", alpha=\"0.09\", expect_size=\"24961024\"] \n  11 -> 16 [size =\"24961024\"]\n  12 [size=\"92381184\", alpha=\"0.14\", expect_size=\"46190592\"] \n  12 -> 15 [size =\"46190592\"]\n  12 -> 16 [size =\"46190592\"]\n  13 [size=\"98678784\", alpha=\"0.18\", expect_size=\"49339392\"] \n  13 -> 22 [size =\"49339392\"]\n  14 [size=\"86470656\", alpha=\"0.19\", expect_size=\"43235328\"] \n  14 -> 17 [size =\"43235328\"]\n  14 -> 18 [size =\"43235328\"]\n  14 -> 19 [size =\"43235328\"]\n  14 -> 20 [size =\"43235328\"]\n  15 [size=\"76503040\", alpha=\"0.15\", expect_size=\"38251520\"] \n  15 -> 17 [size =\"38251520\"]\n  15 -> 18 [size =\"38251520\"]\n  15 -> 20 [size =\"38251520\"]\n  15 -> 20 [size =\"38251520\"]\n  15 -> 21 [size =\"38251520\"]\n  15 -> 22 [size =\"38251520\"]\n  16 [size=\"57180160\", alpha=\"0.15\", expect_size=\"28590080\"] \n  16 -> 19 [size =\"28590080\"]\n  16 -> 21 [size =\"28590080\"]\n  16 -> 22 [size =\"28590080\"]\n  17 [size=\"53346304\", alpha=\"0.12\", expect_size=\"26673152\"] \n  17 -> 23 [size =\"26673152\"]\n  17 -> 24 [size =\"26673152\"]\n  17 -> 27 [size =\"26673152\"]\n  18 [size=\"86886400\", alpha=\"0.12\", expect_size=\"43443200\"] \n  18 -> 23 [size =\"43443200\"]\n  19 [size=\"31916032\", alpha=\"0.07\", expect_size=\"15958016\"] \n  20 [size=\"22263808\", alpha=\"0.17\", expect_size=\"11131904\"] \n  20 -> 24 [size =\"11131904\"]\n  20 -> 26 [size =\"11131904\"]\n  20 -> 28 [size =\"11131904\"]\n  21 [size=\"43859968\", alpha=\"0.13\", expect_size=\"21929984\"] \n  21 -> 23 [size =\"21929984\"]\n  21 -> 24 [size =\"21929984\"]\n  21 -> 28 [size =\"21929984\"]\n  22 [size=\"88240128\", alpha=\"0.09\", expect_size=\"44120064\"] \n  22 -> 24 [size =\"44120064\"]\n  22 -> 25 [size =\"44120064\"]\n  22 -> 27 [size =\"44120064\"]\n  22 -> 28 [size =\"44120064\"]\n  23 [size=\"60504064\", alpha=\"0.15\", expect_size=\"30252032\"] \n  23 -> 29 [size =\"30252032\"]\n  23 -> 30 [size =\"30252032\"]\n  23 -> 32 [size =\"30252032\"]\n  24 [size=\"51871744\", alpha=\"0.02\", expect_size=\"25935872\"] \n  24 -> 29 [size =\"25935872\"]\n  24 -> 32 [size =\"25935872\"]\n  24 -> 32 [size =\"25935872\"]\n  25 [size=\"45647872\", alpha=\"0.16\", expect_size=\"22823936\"] \n  25 -> 29 [size =\"22823936\"]\n  25 -> 31 [size =\"22823936\"]\n  26 [size=\"21960704\", alpha=\"0.12\", expect_size=\"10980352\"] \n  26 -> 29 [size =\"10980352\"]\n  26 -> 30 [size =\"10980352\"]\n  27 [size=\"94433280\", alpha=\"0.02\", expect_size=\"47216640\"] \n  27 -> 31 [size =\"47216640\"]\n  28 [size=\"56272896\", alpha=\"0.16\", expect_size=\"28136448\"] \n  28 -> 29 [size =\"28136448\"]\n  28 -> 31 [size =\"28136448\"]\n  28 -> 32 [size =\"28136448\"]\n  29 [size=\"20031488\", alpha=\"0.12\", expect_size=\"10015744\"] \n  29 -> 33 [size =\"10015744\"]\n  29 -> 34 [size =\"10015744\"]\n  29 -> 35 [size =\"10015744\"]\n  30 [size=\"52000768\", alpha=\"0.07\", expect_size=\"26000384\"] \n  31 [size=\"37079040\", alpha=\"0.11\", expect_size=\"18539520\"] \n  31 -> 35 [size =\"18539520\"]\n  32 [size=\"97826816\", alpha=\"0.12\", expect_size=\"48913408\"] \n  32 -> 33 [size =\"48913408\"]\n  33 [size=\"44374016\", alpha=\"0.12\", expect_size=\"22187008\"] \n  34 [size=\"22087680\", alpha=\"0.08\", expect_size=\"11043840\"] \n  35 [size=\"32106496\", alpha=\"0.18\", expect_size=\"16053248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54860800\", alpha=\"0.00\", expect_size=\"21944320\"] \n  1 -> 6 [size =\"21944320\"]\n  2 [size=\"79347200\", alpha=\"0.03\", expect_size=\"31738880\"] \n  2 -> 7 [size =\"31738880\"]\n  2 -> 8 [size =\"31738880\"]\n  3 [size=\"94269440\", alpha=\"0.07\", expect_size=\"37707776\"] \n  3 -> 7 [size =\"37707776\"]\n  3 -> 8 [size =\"37707776\"]\n  3 -> 9 [size =\"37707776\"]\n  3 -> 10 [size =\"37707776\"]\n  4 [size=\"78801920\", alpha=\"0.13\", expect_size=\"31520768\"] \n  4 -> 6 [size =\"31520768\"]\n  4 -> 7 [size =\"31520768\"]\n  4 -> 10 [size =\"31520768\"]\n  5 [size=\"67729920\", alpha=\"0.11\", expect_size=\"27091968\"] \n  6 [size=\"103357440\", alpha=\"0.02\", expect_size=\"41342976\"] \n  6 -> 14 [size =\"41342976\"]\n  6 -> 15 [size =\"41342976\"]\n  7 [size=\"101777920\", alpha=\"0.08\", expect_size=\"40711168\"] \n  7 -> 12 [size =\"40711168\"]\n  8 [size=\"31147520\", alpha=\"0.00\", expect_size=\"12459008\"] \n  8 -> 11 [size =\"12459008\"]\n  8 -> 13 [size =\"12459008\"]\n  9 [size=\"93560320\", alpha=\"0.10\", expect_size=\"37424128\"] \n  9 -> 11 [size =\"37424128\"]\n  9 -> 14 [size =\"37424128\"]\n  10 [size=\"52119040\", alpha=\"0.14\", expect_size=\"20847616\"] \n  10 -> 12 [size =\"20847616\"]\n  11 [size=\"39022080\", alpha=\"0.16\", expect_size=\"15608832\"] \n  11 -> 18 [size =\"15608832\"]\n  12 [size=\"39841280\", alpha=\"0.03\", expect_size=\"15936512\"] \n  12 -> 17 [size =\"15936512\"]\n  12 -> 18 [size =\"15936512\"]\n  12 -> 19 [size =\"15936512\"]\n  13 [size=\"56780800\", alpha=\"0.19\", expect_size=\"22712320\"] \n  13 -> 16 [size =\"22712320\"]\n  13 -> 17 [size =\"22712320\"]\n  13 -> 19 [size =\"22712320\"]\n  14 [size=\"100976640\", alpha=\"0.15\", expect_size=\"40390656\"] \n  14 -> 17 [size =\"40390656\"]\n  15 [size=\"61122560\", alpha=\"0.03\", expect_size=\"24449024\"] \n  15 -> 16 [size =\"24449024\"]\n  16 [size=\"125291520\", alpha=\"0.01\", expect_size=\"50116608\"] \n  16 -> 23 [size =\"50116608\"]\n  17 [size=\"20267520\", alpha=\"0.06\", expect_size=\"8107008\"] \n  17 -> 20 [size =\"8107008\"]\n  17 -> 22 [size =\"8107008\"]\n  17 -> 23 [size =\"8107008\"]\n  17 -> 24 [size =\"8107008\"]\n  18 [size=\"68736000\", alpha=\"0.19\", expect_size=\"27494400\"] \n  18 -> 21 [size =\"27494400\"]\n  18 -> 24 [size =\"27494400\"]\n  19 [size=\"68986880\", alpha=\"0.04\", expect_size=\"27594752\"] \n  19 -> 21 [size =\"27594752\"]\n  20 [size=\"127851520\", alpha=\"0.14\", expect_size=\"51140608\"] \n  20 -> 26 [size =\"51140608\"]\n  20 -> 28 [size =\"51140608\"]\n  21 [size=\"89582080\", alpha=\"0.11\", expect_size=\"35832832\"] \n  21 -> 25 [size =\"35832832\"]\n  22 [size=\"65228800\", alpha=\"0.20\", expect_size=\"26091520\"] \n  22 -> 28 [size =\"26091520\"]\n  23 [size=\"84288000\", alpha=\"0.02\", expect_size=\"33715200\"] \n  23 -> 25 [size =\"33715200\"]\n  24 [size=\"78410240\", alpha=\"0.15\", expect_size=\"31364096\"] \n  24 -> 25 [size =\"31364096\"]\n  24 -> 27 [size =\"31364096\"]\n  24 -> 28 [size =\"31364096\"]\n  25 [size=\"46540800\", alpha=\"0.18\", expect_size=\"18616320\"] \n  25 -> 29 [size =\"18616320\"]\n  26 [size=\"62197760\", alpha=\"0.16\", expect_size=\"24879104\"] \n  26 -> 29 [size =\"24879104\"]\n  27 [size=\"68190720\", alpha=\"0.09\", expect_size=\"27276288\"] \n  27 -> 32 [size =\"27276288\"]\n  28 [size=\"103262720\", alpha=\"0.05\", expect_size=\"41305088\"] \n  28 -> 30 [size =\"41305088\"]\n  28 -> 31 [size =\"41305088\"]\n  28 -> 32 [size =\"41305088\"]\n  29 [size=\"97095680\", alpha=\"0.15\", expect_size=\"38838272\"] \n  29 -> 34 [size =\"38838272\"]\n  30 [size=\"118860800\", alpha=\"0.11\", expect_size=\"47544320\"] \n  31 [size=\"82918400\", alpha=\"0.12\", expect_size=\"33167360\"] \n  31 -> 35 [size =\"33167360\"]\n  32 [size=\"31022080\", alpha=\"0.17\", expect_size=\"12408832\"] \n  32 -> 33 [size =\"12408832\"]\n  32 -> 34 [size =\"12408832\"]\n  33 [size=\"29414400\", alpha=\"0.10\", expect_size=\"11765760\"] \n  34 [size=\"41290240\", alpha=\"0.17\", expect_size=\"16516096\"] \n  35 [size=\"14387200\", alpha=\"0.13\", expect_size=\"5754880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15124480\", alpha=\"0.08\", expect_size=\"6049792\"] \n  1 -> 13 [size =\"6049792\"]\n  1 -> 17 [size =\"6049792\"]\n  1 -> 21 [size =\"6049792\"]\n  2 [size=\"128673280\", alpha=\"0.16\", expect_size=\"51469312\"] \n  2 -> 21 [size =\"51469312\"]\n  3 [size=\"16276480\", alpha=\"0.13\", expect_size=\"6510592\"] \n  3 -> 14 [size =\"6510592\"]\n  3 -> 17 [size =\"6510592\"]\n  3 -> 21 [size =\"6510592\"]\n  3 -> 23 [size =\"6510592\"]\n  4 [size=\"42434560\", alpha=\"0.04\", expect_size=\"16973824\"] \n  4 -> 13 [size =\"16973824\"]\n  4 -> 17 [size =\"16973824\"]\n  4 -> 20 [size =\"16973824\"]\n  4 -> 21 [size =\"16973824\"]\n  5 [size=\"41413120\", alpha=\"0.03\", expect_size=\"16565248\"] \n  5 -> 21 [size =\"16565248\"]\n  6 [size=\"129743360\", alpha=\"0.00\", expect_size=\"51897344\"] \n  6 -> 15 [size =\"51897344\"]\n  6 -> 18 [size =\"51897344\"]\n  6 -> 20 [size =\"51897344\"]\n  6 -> 21 [size =\"51897344\"]\n  6 -> 22 [size =\"51897344\"]\n  6 -> 23 [size =\"51897344\"]\n  7 [size=\"125583360\", alpha=\"0.18\", expect_size=\"50233344\"] \n  7 -> 14 [size =\"50233344\"]\n  7 -> 17 [size =\"50233344\"]\n  7 -> 18 [size =\"50233344\"]\n  7 -> 19 [size =\"50233344\"]\n  7 -> 20 [size =\"50233344\"]\n  7 -> 22 [size =\"50233344\"]\n  7 -> 23 [size =\"50233344\"]\n  8 [size=\"21772800\", alpha=\"0.03\", expect_size=\"8709120\"] \n  8 -> 14 [size =\"8709120\"]\n  8 -> 17 [size =\"8709120\"]\n  8 -> 19 [size =\"8709120\"]\n  8 -> 21 [size =\"8709120\"]\n  8 -> 22 [size =\"8709120\"]\n  9 [size=\"25205760\", alpha=\"0.08\", expect_size=\"10082304\"] \n  9 -> 17 [size =\"10082304\"]\n  9 -> 18 [size =\"10082304\"]\n  9 -> 21 [size =\"10082304\"]\n  10 [size=\"120724480\", alpha=\"0.12\", expect_size=\"48289792\"] \n  10 -> 15 [size =\"48289792\"]\n  10 -> 18 [size =\"48289792\"]\n  10 -> 20 [size =\"48289792\"]\n  10 -> 21 [size =\"48289792\"]\n  11 [size=\"19176960\", alpha=\"0.16\", expect_size=\"7670784\"] \n  11 -> 14 [size =\"7670784\"]\n  11 -> 20 [size =\"7670784\"]\n  12 [size=\"66488320\", alpha=\"0.05\", expect_size=\"26595328\"] \n  12 -> 13 [size =\"26595328\"]\n  12 -> 14 [size =\"26595328\"]\n  12 -> 16 [size =\"26595328\"]\n  12 -> 22 [size =\"26595328\"]\n  13 [size=\"41733120\", alpha=\"0.13\", expect_size=\"16693248\"] \n  13 -> 31 [size =\"16693248\"]\n  13 -> 32 [size =\"16693248\"]\n  14 [size=\"121231360\", alpha=\"0.16\", expect_size=\"48492544\"] \n  14 -> 24 [size =\"48492544\"]\n  14 -> 27 [size =\"48492544\"]\n  14 -> 28 [size =\"48492544\"]\n  14 -> 31 [size =\"48492544\"]\n  15 [size=\"28234240\", alpha=\"0.08\", expect_size=\"11293696\"] \n  15 -> 27 [size =\"11293696\"]\n  15 -> 28 [size =\"11293696\"]\n  15 -> 28 [size =\"11293696\"]\n  15 -> 29 [size =\"11293696\"]\n  15 -> 31 [size =\"11293696\"]\n  16 [size=\"48345600\", alpha=\"0.00\", expect_size=\"19338240\"] \n  16 -> 25 [size =\"19338240\"]\n  16 -> 27 [size =\"19338240\"]\n  16 -> 28 [size =\"19338240\"]\n  16 -> 31 [size =\"19338240\"]\n  16 -> 31 [size =\"19338240\"]\n  17 [size=\"50265600\", alpha=\"0.10\", expect_size=\"20106240\"] \n  17 -> 27 [size =\"20106240\"]\n  17 -> 27 [size =\"20106240\"]\n  17 -> 30 [size =\"20106240\"]\n  17 -> 31 [size =\"20106240\"]\n  17 -> 34 [size =\"20106240\"]\n  18 [size=\"36444160\", alpha=\"0.04\", expect_size=\"14577664\"] \n  18 -> 25 [size =\"14577664\"]\n  18 -> 28 [size =\"14577664\"]\n  18 -> 29 [size =\"14577664\"]\n  18 -> 33 [size =\"14577664\"]\n  19 [size=\"53386240\", alpha=\"0.19\", expect_size=\"21354496\"] \n  19 -> 26 [size =\"21354496\"]\n  19 -> 27 [size =\"21354496\"]\n  19 -> 28 [size =\"21354496\"]\n  19 -> 33 [size =\"21354496\"]\n  20 [size=\"99284480\", alpha=\"0.02\", expect_size=\"39713792\"] \n  20 -> 24 [size =\"39713792\"]\n  20 -> 25 [size =\"39713792\"]\n  20 -> 27 [size =\"39713792\"]\n  20 -> 28 [size =\"39713792\"]\n  20 -> 29 [size =\"39713792\"]\n  20 -> 31 [size =\"39713792\"]\n  21 [size=\"49884160\", alpha=\"0.05\", expect_size=\"19953664\"] \n  21 -> 24 [size =\"19953664\"]\n  21 -> 25 [size =\"19953664\"]\n  21 -> 26 [size =\"19953664\"]\n  21 -> 27 [size =\"19953664\"]\n  21 -> 28 [size =\"19953664\"]\n  21 -> 29 [size =\"19953664\"]\n  21 -> 30 [size =\"19953664\"]\n  21 -> 31 [size =\"19953664\"]\n  21 -> 33 [size =\"19953664\"]\n  21 -> 34 [size =\"19953664\"]\n  22 [size=\"25963520\", alpha=\"0.08\", expect_size=\"10385408\"] \n  22 -> 26 [size =\"10385408\"]\n  22 -> 27 [size =\"10385408\"]\n  22 -> 28 [size =\"10385408\"]\n  22 -> 29 [size =\"10385408\"]\n  22 -> 33 [size =\"10385408\"]\n  22 -> 34 [size =\"10385408\"]\n  23 [size=\"56926720\", alpha=\"0.11\", expect_size=\"22770688\"] \n  23 -> 25 [size =\"22770688\"]\n  23 -> 27 [size =\"22770688\"]\n  23 -> 28 [size =\"22770688\"]\n  23 -> 29 [size =\"22770688\"]\n  23 -> 31 [size =\"22770688\"]\n  23 -> 33 [size =\"22770688\"]\n  24 [size=\"15406080\", alpha=\"0.19\", expect_size=\"6162432\"] \n  24 -> 35 [size =\"6162432\"]\n  25 [size=\"112066560\", alpha=\"0.12\", expect_size=\"44826624\"] \n  26 [size=\"41863680\", alpha=\"0.05\", expect_size=\"16745472\"] \n  26 -> 35 [size =\"16745472\"]\n  27 [size=\"43353600\", alpha=\"0.17\", expect_size=\"17341440\"] \n  28 [size=\"104678400\", alpha=\"0.10\", expect_size=\"41871360\"] \n  29 [size=\"127206400\", alpha=\"0.05\", expect_size=\"50882560\"] \n  30 [size=\"123850240\", alpha=\"0.19\", expect_size=\"49540096\"] \n  31 [size=\"18577920\", alpha=\"0.14\", expect_size=\"7431168\"] \n  31 -> 35 [size =\"7431168\"]\n  32 [size=\"49338880\", alpha=\"0.17\", expect_size=\"19735552\"] \n  32 -> 35 [size =\"19735552\"]\n  33 [size=\"95767040\", alpha=\"0.06\", expect_size=\"38306816\"] \n  33 -> 35 [size =\"38306816\"]\n  34 [size=\"43069440\", alpha=\"0.13\", expect_size=\"17227776\"] \n  34 -> 35 [size =\"17227776\"]\n  35 [size=\"38540800\", alpha=\"0.02\", expect_size=\"15416320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63245653\", alpha=\"0.08\", expect_size=\"18973696\"] \n  1 -> 27 [size =\"18973696\"]\n  1 -> 28 [size =\"18973696\"]\n  1 -> 29 [size =\"18973696\"]\n  1 -> 30 [size =\"18973696\"]\n  1 -> 32 [size =\"18973696\"]\n  1 -> 34 [size =\"18973696\"]\n  1 -> 35 [size =\"18973696\"]\n  2 [size=\"119739733\", alpha=\"0.11\", expect_size=\"35921920\"] \n  2 -> 34 [size =\"35921920\"]\n  2 -> 35 [size =\"35921920\"]\n  3 [size=\"106738347\", alpha=\"0.01\", expect_size=\"32021504\"] \n  3 -> 26 [size =\"32021504\"]\n  3 -> 28 [size =\"32021504\"]\n  3 -> 29 [size =\"32021504\"]\n  3 -> 30 [size =\"32021504\"]\n  3 -> 34 [size =\"32021504\"]\n  3 -> 35 [size =\"32021504\"]\n  4 [size=\"127457280\", alpha=\"0.17\", expect_size=\"38237184\"] \n  4 -> 26 [size =\"38237184\"]\n  4 -> 28 [size =\"38237184\"]\n  4 -> 29 [size =\"38237184\"]\n  4 -> 30 [size =\"38237184\"]\n  4 -> 33 [size =\"38237184\"]\n  4 -> 34 [size =\"38237184\"]\n  4 -> 35 [size =\"38237184\"]\n  5 [size=\"118592853\", alpha=\"0.02\", expect_size=\"35577856\"] \n  5 -> 26 [size =\"35577856\"]\n  5 -> 29 [size =\"35577856\"]\n  5 -> 34 [size =\"35577856\"]\n  5 -> 35 [size =\"35577856\"]\n  6 [size=\"111919787\", alpha=\"0.16\", expect_size=\"33575936\"] \n  6 -> 25 [size =\"33575936\"]\n  6 -> 29 [size =\"33575936\"]\n  6 -> 34 [size =\"33575936\"]\n  6 -> 35 [size =\"33575936\"]\n  7 [size=\"133348693\", alpha=\"0.17\", expect_size=\"40004608\"] \n  7 -> 29 [size =\"40004608\"]\n  7 -> 32 [size =\"40004608\"]\n  7 -> 34 [size =\"40004608\"]\n  8 [size=\"132478293\", alpha=\"0.00\", expect_size=\"39743488\"] \n  8 -> 30 [size =\"39743488\"]\n  8 -> 31 [size =\"39743488\"]\n  8 -> 32 [size =\"39743488\"]\n  8 -> 35 [size =\"39743488\"]\n  9 [size=\"28385280\", alpha=\"0.15\", expect_size=\"8515584\"] \n  9 -> 29 [size =\"8515584\"]\n  9 -> 30 [size =\"8515584\"]\n  9 -> 32 [size =\"8515584\"]\n  9 -> 33 [size =\"8515584\"]\n  10 [size=\"77789867\", alpha=\"0.06\", expect_size=\"23336960\"] \n  10 -> 27 [size =\"23336960\"]\n  10 -> 29 [size =\"23336960\"]\n  10 -> 30 [size =\"23336960\"]\n  10 -> 32 [size =\"23336960\"]\n  10 -> 33 [size =\"23336960\"]\n  10 -> 34 [size =\"23336960\"]\n  11 [size=\"27047253\", alpha=\"0.01\", expect_size=\"8114176\"] \n  11 -> 27 [size =\"8114176\"]\n  11 -> 29 [size =\"8114176\"]\n  11 -> 30 [size =\"8114176\"]\n  11 -> 32 [size =\"8114176\"]\n  11 -> 33 [size =\"8114176\"]\n  11 -> 34 [size =\"8114176\"]\n  11 -> 35 [size =\"8114176\"]\n  12 [size=\"86842027\", alpha=\"0.03\", expect_size=\"26052608\"] \n  12 -> 29 [size =\"26052608\"]\n  12 -> 29 [size =\"26052608\"]\n  12 -> 30 [size =\"26052608\"]\n  12 -> 34 [size =\"26052608\"]\n  13 [size=\"18220373\", alpha=\"0.12\", expect_size=\"5466112\"] \n  13 -> 26 [size =\"5466112\"]\n  13 -> 27 [size =\"5466112\"]\n  13 -> 29 [size =\"5466112\"]\n  13 -> 30 [size =\"5466112\"]\n  13 -> 31 [size =\"5466112\"]\n  13 -> 34 [size =\"5466112\"]\n  13 -> 35 [size =\"5466112\"]\n  14 [size=\"24285867\", alpha=\"0.02\", expect_size=\"7285760\"] \n  14 -> 26 [size =\"7285760\"]\n  14 -> 27 [size =\"7285760\"]\n  14 -> 30 [size =\"7285760\"]\n  14 -> 34 [size =\"7285760\"]\n  14 -> 35 [size =\"7285760\"]\n  15 [size=\"156945067\", alpha=\"0.04\", expect_size=\"47083520\"] \n  15 -> 29 [size =\"47083520\"]\n  15 -> 30 [size =\"47083520\"]\n  15 -> 32 [size =\"47083520\"]\n  15 -> 34 [size =\"47083520\"]\n  16 [size=\"171502933\", alpha=\"0.15\", expect_size=\"51450880\"] \n  16 -> 25 [size =\"51450880\"]\n  16 -> 29 [size =\"51450880\"]\n  16 -> 30 [size =\"51450880\"]\n  16 -> 32 [size =\"51450880\"]\n  16 -> 33 [size =\"51450880\"]\n  16 -> 34 [size =\"51450880\"]\n  17 [size=\"139970560\", alpha=\"0.07\", expect_size=\"41991168\"] \n  17 -> 25 [size =\"41991168\"]\n  17 -> 26 [size =\"41991168\"]\n  17 -> 29 [size =\"41991168\"]\n  17 -> 30 [size =\"41991168\"]\n  17 -> 34 [size =\"41991168\"]\n  17 -> 34 [size =\"41991168\"]\n  18 [size=\"115336533\", alpha=\"0.13\", expect_size=\"34600960\"] \n  18 -> 26 [size =\"34600960\"]\n  18 -> 29 [size =\"34600960\"]\n  18 -> 30 [size =\"34600960\"]\n  18 -> 33 [size =\"34600960\"]\n  19 [size=\"117357227\", alpha=\"0.13\", expect_size=\"35207168\"] \n  19 -> 25 [size =\"35207168\"]\n  19 -> 26 [size =\"35207168\"]\n  19 -> 30 [size =\"35207168\"]\n  19 -> 34 [size =\"35207168\"]\n  19 -> 35 [size =\"35207168\"]\n  20 [size=\"80247467\", alpha=\"0.05\", expect_size=\"24074240\"] \n  20 -> 26 [size =\"24074240\"]\n  20 -> 27 [size =\"24074240\"]\n  20 -> 29 [size =\"24074240\"]\n  20 -> 30 [size =\"24074240\"]\n  20 -> 34 [size =\"24074240\"]\n  21 [size=\"125105493\", alpha=\"0.03\", expect_size=\"37531648\"] \n  21 -> 27 [size =\"37531648\"]\n  21 -> 29 [size =\"37531648\"]\n  21 -> 30 [size =\"37531648\"]\n  21 -> 30 [size =\"37531648\"]\n  21 -> 32 [size =\"37531648\"]\n  21 -> 34 [size =\"37531648\"]\n  22 [size=\"134236160\", alpha=\"0.13\", expect_size=\"40270848\"] \n  22 -> 27 [size =\"40270848\"]\n  22 -> 29 [size =\"40270848\"]\n  22 -> 30 [size =\"40270848\"]\n  22 -> 33 [size =\"40270848\"]\n  23 [size=\"161471147\", alpha=\"0.15\", expect_size=\"48441344\"] \n  23 -> 30 [size =\"48441344\"]\n  23 -> 35 [size =\"48441344\"]\n  24 [size=\"102167893\", alpha=\"0.11\", expect_size=\"30650368\"] \n  24 -> 27 [size =\"30650368\"]\n  24 -> 29 [size =\"30650368\"]\n  24 -> 30 [size =\"30650368\"]\n  24 -> 35 [size =\"30650368\"]\n  25 [size=\"115971413\", alpha=\"0.20\", expect_size=\"34791424\"] \n  26 [size=\"148135253\", alpha=\"0.01\", expect_size=\"44440576\"] \n  27 [size=\"107946667\", alpha=\"0.16\", expect_size=\"32384000\"] \n  28 [size=\"162829653\", alpha=\"0.06\", expect_size=\"48848896\"] \n  29 [size=\"110417920\", alpha=\"0.18\", expect_size=\"33125376\"] \n  30 [size=\"58917547\", alpha=\"0.17\", expect_size=\"17675264\"] \n  31 [size=\"99723947\", alpha=\"0.17\", expect_size=\"29917184\"] \n  32 [size=\"121316693\", alpha=\"0.07\", expect_size=\"36395008\"] \n  33 [size=\"68676267\", alpha=\"0.16\", expect_size=\"20602880\"] \n  34 [size=\"31064747\", alpha=\"0.06\", expect_size=\"9319424\"] \n  35 [size=\"118466560\", alpha=\"0.14\", expect_size=\"35539968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75167744\", alpha=\"0.01\", expect_size=\"37583872\"] \n  1 -> 10 [size =\"37583872\"]\n  2 [size=\"13422592\", alpha=\"0.19\", expect_size=\"6711296\"] \n  2 -> 7 [size =\"6711296\"]\n  2 -> 8 [size =\"6711296\"]\n  3 [size=\"23277568\", alpha=\"0.19\", expect_size=\"11638784\"] \n  3 -> 9 [size =\"11638784\"]\n  4 [size=\"23701504\", alpha=\"0.03\", expect_size=\"11850752\"] \n  5 [size=\"94887936\", alpha=\"0.05\", expect_size=\"47443968\"] \n  5 -> 6 [size =\"47443968\"]\n  5 -> 10 [size =\"47443968\"]\n  6 [size=\"56590336\", alpha=\"0.10\", expect_size=\"28295168\"] \n  6 -> 11 [size =\"28295168\"]\n  6 -> 12 [size =\"28295168\"]\n  6 -> 13 [size =\"28295168\"]\n  7 [size=\"11110400\", alpha=\"0.09\", expect_size=\"5555200\"] \n  7 -> 14 [size =\"5555200\"]\n  8 [size=\"60682240\", alpha=\"0.04\", expect_size=\"30341120\"] \n  8 -> 13 [size =\"30341120\"]\n  9 [size=\"14174208\", alpha=\"0.03\", expect_size=\"7087104\"] \n  9 -> 12 [size =\"7087104\"]\n  9 -> 14 [size =\"7087104\"]\n  10 [size=\"85192704\", alpha=\"0.19\", expect_size=\"42596352\"] \n  11 [size=\"53006336\", alpha=\"0.02\", expect_size=\"26503168\"] \n  11 -> 15 [size =\"26503168\"]\n  11 -> 16 [size =\"26503168\"]\n  11 -> 18 [size =\"26503168\"]\n  12 [size=\"59021312\", alpha=\"0.18\", expect_size=\"29510656\"] \n  12 -> 16 [size =\"29510656\"]\n  12 -> 19 [size =\"29510656\"]\n  13 [size=\"54724608\", alpha=\"0.18\", expect_size=\"27362304\"] \n  13 -> 17 [size =\"27362304\"]\n  14 [size=\"51410944\", alpha=\"0.17\", expect_size=\"25705472\"] \n  14 -> 15 [size =\"25705472\"]\n  14 -> 18 [size =\"25705472\"]\n  15 [size=\"64081920\", alpha=\"0.12\", expect_size=\"32040960\"] \n  15 -> 20 [size =\"32040960\"]\n  15 -> 22 [size =\"32040960\"]\n  15 -> 24 [size =\"32040960\"]\n  16 [size=\"88850432\", alpha=\"0.18\", expect_size=\"44425216\"] \n  16 -> 21 [size =\"44425216\"]\n  16 -> 24 [size =\"44425216\"]\n  17 [size=\"40515584\", alpha=\"0.06\", expect_size=\"20257792\"] \n  18 [size=\"84781056\", alpha=\"0.03\", expect_size=\"42390528\"] \n  18 -> 24 [size =\"42390528\"]\n  19 [size=\"104708096\", alpha=\"0.08\", expect_size=\"52354048\"] \n  19 -> 21 [size =\"52354048\"]\n  19 -> 23 [size =\"52354048\"]\n  20 [size=\"22544384\", alpha=\"0.15\", expect_size=\"11272192\"] \n  20 -> 28 [size =\"11272192\"]\n  21 [size=\"19974144\", alpha=\"0.16\", expect_size=\"9987072\"] \n  22 [size=\"29360128\", alpha=\"0.17\", expect_size=\"14680064\"] \n  22 -> 26 [size =\"14680064\"]\n  22 -> 27 [size =\"14680064\"]\n  23 [size=\"17653760\", alpha=\"0.01\", expect_size=\"8826880\"] \n  23 -> 25 [size =\"8826880\"]\n  23 -> 26 [size =\"8826880\"]\n  23 -> 27 [size =\"8826880\"]\n  24 [size=\"104759296\", alpha=\"0.07\", expect_size=\"52379648\"] \n  24 -> 28 [size =\"52379648\"]\n  25 [size=\"91801600\", alpha=\"0.12\", expect_size=\"45900800\"] \n  25 -> 30 [size =\"45900800\"]\n  26 [size=\"53260288\", alpha=\"0.06\", expect_size=\"26630144\"] \n  26 -> 29 [size =\"26630144\"]\n  26 -> 31 [size =\"26630144\"]\n  26 -> 32 [size =\"26630144\"]\n  27 [size=\"42670080\", alpha=\"0.01\", expect_size=\"21335040\"] \n  27 -> 29 [size =\"21335040\"]\n  28 [size=\"71686144\", alpha=\"0.06\", expect_size=\"35843072\"] \n  28 -> 30 [size =\"35843072\"]\n  28 -> 32 [size =\"35843072\"]\n  28 -> 33 [size =\"35843072\"]\n  29 [size=\"86179840\", alpha=\"0.12\", expect_size=\"43089920\"] \n  29 -> 34 [size =\"43089920\"]\n  29 -> 35 [size =\"43089920\"]\n  30 [size=\"29652992\", alpha=\"0.14\", expect_size=\"14826496\"] \n  31 [size=\"100069376\", alpha=\"0.05\", expect_size=\"50034688\"] \n  32 [size=\"78997504\", alpha=\"0.06\", expect_size=\"39498752\"] \n  33 [size=\"63748096\", alpha=\"0.16\", expect_size=\"31874048\"] \n  33 -> 34 [size =\"31874048\"]\n  34 [size=\"67115008\", alpha=\"0.15\", expect_size=\"33557504\"] \n  35 [size=\"102313984\", alpha=\"0.06\", expect_size=\"51156992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86041600\", alpha=\"0.01\", expect_size=\"34416640\"] \n  1 -> 15 [size =\"34416640\"]\n  1 -> 16 [size =\"34416640\"]\n  1 -> 20 [size =\"34416640\"]\n  2 [size=\"42132480\", alpha=\"0.06\", expect_size=\"16852992\"] \n  2 -> 12 [size =\"16852992\"]\n  2 -> 17 [size =\"16852992\"]\n  2 -> 18 [size =\"16852992\"]\n  2 -> 19 [size =\"16852992\"]\n  2 -> 20 [size =\"16852992\"]\n  2 -> 21 [size =\"16852992\"]\n  3 [size=\"22423040\", alpha=\"0.01\", expect_size=\"8969216\"] \n  3 -> 12 [size =\"8969216\"]\n  3 -> 14 [size =\"8969216\"]\n  3 -> 16 [size =\"8969216\"]\n  3 -> 17 [size =\"8969216\"]\n  3 -> 20 [size =\"8969216\"]\n  3 -> 21 [size =\"8969216\"]\n  3 -> 22 [size =\"8969216\"]\n  4 [size=\"78387200\", alpha=\"0.09\", expect_size=\"31354880\"] \n  4 -> 18 [size =\"31354880\"]\n  4 -> 19 [size =\"31354880\"]\n  4 -> 21 [size =\"31354880\"]\n  5 [size=\"110118400\", alpha=\"0.16\", expect_size=\"44047360\"] \n  5 -> 13 [size =\"44047360\"]\n  5 -> 14 [size =\"44047360\"]\n  5 -> 19 [size =\"44047360\"]\n  6 [size=\"125278720\", alpha=\"0.17\", expect_size=\"50111488\"] \n  6 -> 12 [size =\"50111488\"]\n  6 -> 13 [size =\"50111488\"]\n  6 -> 14 [size =\"50111488\"]\n  6 -> 19 [size =\"50111488\"]\n  6 -> 21 [size =\"50111488\"]\n  7 [size=\"31915520\", alpha=\"0.05\", expect_size=\"12766208\"] \n  7 -> 14 [size =\"12766208\"]\n  7 -> 15 [size =\"12766208\"]\n  7 -> 18 [size =\"12766208\"]\n  7 -> 19 [size =\"12766208\"]\n  8 [size=\"123507200\", alpha=\"0.16\", expect_size=\"49402880\"] \n  8 -> 13 [size =\"49402880\"]\n  8 -> 14 [size =\"49402880\"]\n  8 -> 15 [size =\"49402880\"]\n  8 -> 16 [size =\"49402880\"]\n  8 -> 17 [size =\"49402880\"]\n  8 -> 20 [size =\"49402880\"]\n  9 [size=\"29770240\", alpha=\"0.11\", expect_size=\"11908096\"] \n  9 -> 13 [size =\"11908096\"]\n  9 -> 15 [size =\"11908096\"]\n  9 -> 17 [size =\"11908096\"]\n  9 -> 18 [size =\"11908096\"]\n  9 -> 21 [size =\"11908096\"]\n  10 [size=\"83581440\", alpha=\"0.11\", expect_size=\"33432576\"] \n  10 -> 12 [size =\"33432576\"]\n  10 -> 13 [size =\"33432576\"]\n  10 -> 14 [size =\"33432576\"]\n  10 -> 17 [size =\"33432576\"]\n  10 -> 18 [size =\"33432576\"]\n  10 -> 19 [size =\"33432576\"]\n  10 -> 21 [size =\"33432576\"]\n  11 [size=\"90096640\", alpha=\"0.02\", expect_size=\"36038656\"] \n  11 -> 12 [size =\"36038656\"]\n  11 -> 13 [size =\"36038656\"]\n  11 -> 14 [size =\"36038656\"]\n  11 -> 15 [size =\"36038656\"]\n  11 -> 16 [size =\"36038656\"]\n  11 -> 17 [size =\"36038656\"]\n  11 -> 19 [size =\"36038656\"]\n  11 -> 20 [size =\"36038656\"]\n  11 -> 21 [size =\"36038656\"]\n  12 [size=\"97377280\", alpha=\"0.18\", expect_size=\"38950912\"] \n  12 -> 23 [size =\"38950912\"]\n  12 -> 26 [size =\"38950912\"]\n  12 -> 27 [size =\"38950912\"]\n  12 -> 29 [size =\"38950912\"]\n  12 -> 30 [size =\"38950912\"]\n  12 -> 32 [size =\"38950912\"]\n  13 [size=\"13829120\", alpha=\"0.15\", expect_size=\"5531648\"] \n  13 -> 23 [size =\"5531648\"]\n  13 -> 25 [size =\"5531648\"]\n  13 -> 31 [size =\"5531648\"]\n  14 [size=\"22584320\", alpha=\"0.17\", expect_size=\"9033728\"] \n  15 [size=\"76922880\", alpha=\"0.11\", expect_size=\"30769152\"] \n  15 -> 26 [size =\"30769152\"]\n  15 -> 31 [size =\"30769152\"]\n  16 [size=\"55662080\", alpha=\"0.01\", expect_size=\"22264832\"] \n  16 -> 26 [size =\"22264832\"]\n  16 -> 30 [size =\"22264832\"]\n  16 -> 31 [size =\"22264832\"]\n  17 [size=\"35630080\", alpha=\"0.06\", expect_size=\"14252032\"] \n  17 -> 27 [size =\"14252032\"]\n  17 -> 28 [size =\"14252032\"]\n  18 [size=\"64796160\", alpha=\"0.04\", expect_size=\"25918464\"] \n  18 -> 23 [size =\"25918464\"]\n  18 -> 25 [size =\"25918464\"]\n  18 -> 28 [size =\"25918464\"]\n  18 -> 31 [size =\"25918464\"]\n  18 -> 32 [size =\"25918464\"]\n  19 [size=\"41377280\", alpha=\"0.07\", expect_size=\"16550912\"] \n  19 -> 23 [size =\"16550912\"]\n  19 -> 25 [size =\"16550912\"]\n  19 -> 29 [size =\"16550912\"]\n  19 -> 31 [size =\"16550912\"]\n  20 [size=\"108346880\", alpha=\"0.17\", expect_size=\"43338752\"] \n  20 -> 29 [size =\"43338752\"]\n  20 -> 30 [size =\"43338752\"]\n  20 -> 31 [size =\"43338752\"]\n  21 [size=\"57955840\", alpha=\"0.19\", expect_size=\"23182336\"] \n  21 -> 23 [size =\"23182336\"]\n  21 -> 26 [size =\"23182336\"]\n  21 -> 29 [size =\"23182336\"]\n  21 -> 31 [size =\"23182336\"]\n  21 -> 32 [size =\"23182336\"]\n  22 [size=\"70988800\", alpha=\"0.06\", expect_size=\"28395520\"] \n  22 -> 24 [size =\"28395520\"]\n  22 -> 25 [size =\"28395520\"]\n  22 -> 26 [size =\"28395520\"]\n  22 -> 32 [size =\"28395520\"]\n  23 [size=\"59773440\", alpha=\"0.15\", expect_size=\"23909376\"] \n  24 [size=\"31173120\", alpha=\"0.14\", expect_size=\"12469248\"] \n  24 -> 33 [size =\"12469248\"]\n  24 -> 35 [size =\"12469248\"]\n  25 [size=\"16266240\", alpha=\"0.10\", expect_size=\"6506496\"] \n  25 -> 33 [size =\"6506496\"]\n  25 -> 34 [size =\"6506496\"]\n  26 [size=\"79851520\", alpha=\"0.05\", expect_size=\"31940608\"] \n  26 -> 35 [size =\"31940608\"]\n  27 [size=\"88606720\", alpha=\"0.04\", expect_size=\"35442688\"] \n  28 [size=\"124029440\", alpha=\"0.01\", expect_size=\"49611776\"] \n  29 [size=\"32084480\", alpha=\"0.00\", expect_size=\"12833792\"] \n  29 -> 35 [size =\"12833792\"]\n  30 [size=\"76075520\", alpha=\"0.12\", expect_size=\"30430208\"] \n  31 [size=\"59176960\", alpha=\"0.17\", expect_size=\"23670784\"] \n  32 [size=\"54320640\", alpha=\"0.16\", expect_size=\"21728256\"] \n  33 [size=\"90536960\", alpha=\"0.15\", expect_size=\"36214784\"] \n  34 [size=\"59174400\", alpha=\"0.16\", expect_size=\"23669760\"] \n  35 [size=\"25518080\", alpha=\"0.08\", expect_size=\"10207232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102776832\", alpha=\"0.08\", expect_size=\"51388416\"] \n  1 -> 3 [size =\"51388416\"]\n  2 [size=\"90796032\", alpha=\"0.07\", expect_size=\"45398016\"] \n  2 -> 4 [size =\"45398016\"]\n  3 [size=\"38127616\", alpha=\"0.00\", expect_size=\"19063808\"] \n  4 [size=\"100380672\", alpha=\"0.04\", expect_size=\"50190336\"] \n  4 -> 5 [size =\"50190336\"]\n  5 [size=\"52133888\", alpha=\"0.10\", expect_size=\"26066944\"] \n  5 -> 6 [size =\"26066944\"]\n  6 [size=\"84121600\", alpha=\"0.09\", expect_size=\"42060800\"] \n  6 -> 7 [size =\"42060800\"]\n  7 [size=\"46499840\", alpha=\"0.07\", expect_size=\"23249920\"] \n  7 -> 8 [size =\"23249920\"]\n  7 -> 9 [size =\"23249920\"]\n  8 [size=\"14518272\", alpha=\"0.05\", expect_size=\"7259136\"] \n  8 -> 10 [size =\"7259136\"]\n  9 [size=\"79697920\", alpha=\"0.09\", expect_size=\"39848960\"] \n  9 -> 10 [size =\"39848960\"]\n  10 [size=\"59011072\", alpha=\"0.08\", expect_size=\"29505536\"] \n  10 -> 11 [size =\"29505536\"]\n  11 [size=\"18688000\", alpha=\"0.12\", expect_size=\"9344000\"] \n  11 -> 12 [size =\"9344000\"]\n  12 [size=\"56805376\", alpha=\"0.07\", expect_size=\"28402688\"] \n  12 -> 13 [size =\"28402688\"]\n  12 -> 14 [size =\"28402688\"]\n  13 [size=\"88694784\", alpha=\"0.13\", expect_size=\"44347392\"] \n  13 -> 16 [size =\"44347392\"]\n  14 [size=\"89962496\", alpha=\"0.02\", expect_size=\"44981248\"] \n  14 -> 15 [size =\"44981248\"]\n  15 [size=\"15607808\", alpha=\"0.10\", expect_size=\"7803904\"] \n  16 [size=\"62777344\", alpha=\"0.06\", expect_size=\"31388672\"] \n  16 -> 17 [size =\"31388672\"]\n  17 [size=\"12361728\", alpha=\"0.07\", expect_size=\"6180864\"] \n  17 -> 18 [size =\"6180864\"]\n  17 -> 19 [size =\"6180864\"]\n  18 [size=\"45252608\", alpha=\"0.19\", expect_size=\"22626304\"] \n  18 -> 20 [size =\"22626304\"]\n  19 [size=\"67491840\", alpha=\"0.15\", expect_size=\"33745920\"] \n  19 -> 21 [size =\"33745920\"]\n  20 [size=\"15652864\", alpha=\"0.15\", expect_size=\"7826432\"] \n  20 -> 22 [size =\"7826432\"]\n  21 [size=\"53407744\", alpha=\"0.15\", expect_size=\"26703872\"] \n  21 -> 22 [size =\"26703872\"]\n  21 -> 23 [size =\"26703872\"]\n  22 [size=\"17494016\", alpha=\"0.11\", expect_size=\"8747008\"] \n  22 -> 24 [size =\"8747008\"]\n  22 -> 25 [size =\"8747008\"]\n  23 [size=\"48396288\", alpha=\"0.14\", expect_size=\"24198144\"] \n  23 -> 24 [size =\"24198144\"]\n  23 -> 25 [size =\"24198144\"]\n  24 [size=\"14962688\", alpha=\"0.15\", expect_size=\"7481344\"] \n  25 [size=\"22308864\", alpha=\"0.06\", expect_size=\"11154432\"] \n  25 -> 26 [size =\"11154432\"]\n  25 -> 27 [size =\"11154432\"]\n  26 [size=\"68864000\", alpha=\"0.12\", expect_size=\"34432000\"] \n  27 [size=\"98951168\", alpha=\"0.05\", expect_size=\"49475584\"] \n  27 -> 28 [size =\"49475584\"]\n  28 [size=\"35364864\", alpha=\"0.20\", expect_size=\"17682432\"] \n  28 -> 29 [size =\"17682432\"]\n  29 [size=\"29620224\", alpha=\"0.09\", expect_size=\"14810112\"] \n  29 -> 30 [size =\"14810112\"]\n  29 -> 31 [size =\"14810112\"]\n  30 [size=\"100702208\", alpha=\"0.08\", expect_size=\"50351104\"] \n  30 -> 32 [size =\"50351104\"]\n  31 [size=\"77641728\", alpha=\"0.09\", expect_size=\"38820864\"] \n  32 [size=\"52725760\", alpha=\"0.00\", expect_size=\"26362880\"] \n  32 -> 33 [size =\"26362880\"]\n  32 -> 34 [size =\"26362880\"]\n  33 [size=\"11898880\", alpha=\"0.08\", expect_size=\"5949440\"] \n  33 -> 35 [size =\"5949440\"]\n  34 [size=\"77168640\", alpha=\"0.12\", expect_size=\"38584320\"] \n  35 [size=\"55322624\", alpha=\"0.18\", expect_size=\"27661312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97940480\", alpha=\"0.07\", expect_size=\"39176192\"] \n  1 -> 22 [size =\"39176192\"]\n  1 -> 23 [size =\"39176192\"]\n  1 -> 27 [size =\"39176192\"]\n  1 -> 33 [size =\"39176192\"]\n  2 [size=\"122222080\", alpha=\"0.09\", expect_size=\"48888832\"] \n  2 -> 22 [size =\"48888832\"]\n  2 -> 23 [size =\"48888832\"]\n  2 -> 27 [size =\"48888832\"]\n  2 -> 32 [size =\"48888832\"]\n  2 -> 33 [size =\"48888832\"]\n  3 [size=\"74577920\", alpha=\"0.02\", expect_size=\"29831168\"] \n  3 -> 22 [size =\"29831168\"]\n  3 -> 23 [size =\"29831168\"]\n  3 -> 27 [size =\"29831168\"]\n  3 -> 30 [size =\"29831168\"]\n  3 -> 33 [size =\"29831168\"]\n  3 -> 34 [size =\"29831168\"]\n  4 [size=\"72765440\", alpha=\"0.05\", expect_size=\"29106176\"] \n  4 -> 23 [size =\"29106176\"]\n  4 -> 25 [size =\"29106176\"]\n  4 -> 27 [size =\"29106176\"]\n  4 -> 30 [size =\"29106176\"]\n  4 -> 31 [size =\"29106176\"]\n  4 -> 32 [size =\"29106176\"]\n  4 -> 35 [size =\"29106176\"]\n  5 [size=\"23592960\", alpha=\"0.11\", expect_size=\"9437184\"] \n  5 -> 27 [size =\"9437184\"]\n  5 -> 31 [size =\"9437184\"]\n  5 -> 32 [size =\"9437184\"]\n  6 [size=\"99210240\", alpha=\"0.12\", expect_size=\"39684096\"] \n  6 -> 23 [size =\"39684096\"]\n  6 -> 25 [size =\"39684096\"]\n  6 -> 27 [size =\"39684096\"]\n  6 -> 32 [size =\"39684096\"]\n  6 -> 35 [size =\"39684096\"]\n  7 [size=\"111408640\", alpha=\"0.20\", expect_size=\"44563456\"] \n  7 -> 25 [size =\"44563456\"]\n  7 -> 30 [size =\"44563456\"]\n  8 [size=\"39127040\", alpha=\"0.07\", expect_size=\"15650816\"] \n  8 -> 29 [size =\"15650816\"]\n  8 -> 30 [size =\"15650816\"]\n  9 [size=\"45079040\", alpha=\"0.10\", expect_size=\"18031616\"] \n  9 -> 22 [size =\"18031616\"]\n  9 -> 23 [size =\"18031616\"]\n  9 -> 27 [size =\"18031616\"]\n  10 [size=\"62796800\", alpha=\"0.18\", expect_size=\"25118720\"] \n  10 -> 27 [size =\"25118720\"]\n  10 -> 33 [size =\"25118720\"]\n  11 [size=\"61140480\", alpha=\"0.15\", expect_size=\"24456192\"] \n  11 -> 24 [size =\"24456192\"]\n  11 -> 28 [size =\"24456192\"]\n  11 -> 30 [size =\"24456192\"]\n  12 [size=\"103249920\", alpha=\"0.15\", expect_size=\"41299968\"] \n  12 -> 23 [size =\"41299968\"]\n  12 -> 24 [size =\"41299968\"]\n  12 -> 25 [size =\"41299968\"]\n  12 -> 27 [size =\"41299968\"]\n  12 -> 31 [size =\"41299968\"]\n  12 -> 33 [size =\"41299968\"]\n  12 -> 35 [size =\"41299968\"]\n  13 [size=\"35919360\", alpha=\"0.18\", expect_size=\"14367744\"] \n  13 -> 27 [size =\"14367744\"]\n  13 -> 35 [size =\"14367744\"]\n  14 [size=\"50135040\", alpha=\"0.12\", expect_size=\"20054016\"] \n  14 -> 22 [size =\"20054016\"]\n  14 -> 23 [size =\"20054016\"]\n  14 -> 25 [size =\"20054016\"]\n  14 -> 26 [size =\"20054016\"]\n  14 -> 30 [size =\"20054016\"]\n  14 -> 33 [size =\"20054016\"]\n  14 -> 35 [size =\"20054016\"]\n  15 [size=\"81390080\", alpha=\"0.08\", expect_size=\"32556032\"] \n  15 -> 28 [size =\"32556032\"]\n  15 -> 30 [size =\"32556032\"]\n  15 -> 35 [size =\"32556032\"]\n  16 [size=\"28805120\", alpha=\"0.20\", expect_size=\"11522048\"] \n  16 -> 29 [size =\"11522048\"]\n  16 -> 31 [size =\"11522048\"]\n  16 -> 35 [size =\"11522048\"]\n  17 [size=\"100165120\", alpha=\"0.01\", expect_size=\"40066048\"] \n  17 -> 25 [size =\"40066048\"]\n  17 -> 31 [size =\"40066048\"]\n  17 -> 33 [size =\"40066048\"]\n  17 -> 34 [size =\"40066048\"]\n  17 -> 35 [size =\"40066048\"]\n  18 [size=\"97674240\", alpha=\"0.15\", expect_size=\"39069696\"] \n  18 -> 25 [size =\"39069696\"]\n  18 -> 33 [size =\"39069696\"]\n  19 [size=\"22551040\", alpha=\"0.07\", expect_size=\"9020416\"] \n  19 -> 33 [size =\"9020416\"]\n  20 [size=\"84328960\", alpha=\"0.18\", expect_size=\"33731584\"] \n  20 -> 23 [size =\"33731584\"]\n  20 -> 27 [size =\"33731584\"]\n  20 -> 31 [size =\"33731584\"]\n  20 -> 33 [size =\"33731584\"]\n  21 [size=\"74426880\", alpha=\"0.03\", expect_size=\"29770752\"] \n  21 -> 22 [size =\"29770752\"]\n  21 -> 26 [size =\"29770752\"]\n  22 [size=\"45527040\", alpha=\"0.07\", expect_size=\"18210816\"] \n  23 [size=\"17784320\", alpha=\"0.01\", expect_size=\"7113728\"] \n  24 [size=\"123970560\", alpha=\"0.06\", expect_size=\"49588224\"] \n  25 [size=\"75087360\", alpha=\"0.12\", expect_size=\"30034944\"] \n  26 [size=\"121336320\", alpha=\"0.13\", expect_size=\"48534528\"] \n  27 [size=\"120591360\", alpha=\"0.10\", expect_size=\"48236544\"] \n  28 [size=\"126696960\", alpha=\"0.12\", expect_size=\"50678784\"] \n  29 [size=\"94922240\", alpha=\"0.19\", expect_size=\"37968896\"] \n  30 [size=\"15887360\", alpha=\"0.15\", expect_size=\"6354944\"] \n  31 [size=\"119782400\", alpha=\"0.19\", expect_size=\"47912960\"] \n  32 [size=\"19586560\", alpha=\"0.18\", expect_size=\"7834624\"] \n  33 [size=\"60344320\", alpha=\"0.01\", expect_size=\"24137728\"] \n  34 [size=\"67599360\", alpha=\"0.10\", expect_size=\"27039744\"] \n  35 [size=\"101007360\", alpha=\"0.11\", expect_size=\"40402944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68157440\", alpha=\"0.04\", expect_size=\"20447232\"] \n  1 -> 29 [size =\"20447232\"]\n  1 -> 30 [size =\"20447232\"]\n  1 -> 32 [size =\"20447232\"]\n  1 -> 35 [size =\"20447232\"]\n  2 [size=\"74721280\", alpha=\"0.10\", expect_size=\"22416384\"] \n  2 -> 30 [size =\"22416384\"]\n  2 -> 31 [size =\"22416384\"]\n  3 [size=\"37751467\", alpha=\"0.13\", expect_size=\"11325440\"] \n  3 -> 29 [size =\"11325440\"]\n  3 -> 31 [size =\"11325440\"]\n  3 -> 34 [size =\"11325440\"]\n  4 [size=\"68713813\", alpha=\"0.17\", expect_size=\"20614144\"] \n  4 -> 27 [size =\"20614144\"]\n  4 -> 28 [size =\"20614144\"]\n  4 -> 29 [size =\"20614144\"]\n  4 -> 31 [size =\"20614144\"]\n  4 -> 34 [size =\"20614144\"]\n  5 [size=\"106772480\", alpha=\"0.08\", expect_size=\"32031744\"] \n  5 -> 28 [size =\"32031744\"]\n  5 -> 29 [size =\"32031744\"]\n  5 -> 30 [size =\"32031744\"]\n  5 -> 31 [size =\"32031744\"]\n  6 [size=\"57326933\", alpha=\"0.19\", expect_size=\"17198080\"] \n  6 -> 27 [size =\"17198080\"]\n  6 -> 30 [size =\"17198080\"]\n  6 -> 31 [size =\"17198080\"]\n  7 [size=\"170393600\", alpha=\"0.08\", expect_size=\"51118080\"] \n  7 -> 29 [size =\"51118080\"]\n  7 -> 31 [size =\"51118080\"]\n  8 [size=\"167871147\", alpha=\"0.06\", expect_size=\"50361344\"] \n  8 -> 27 [size =\"50361344\"]\n  8 -> 28 [size =\"50361344\"]\n  8 -> 29 [size =\"50361344\"]\n  8 -> 30 [size =\"50361344\"]\n  9 [size=\"124914347\", alpha=\"0.14\", expect_size=\"37474304\"] \n  9 -> 27 [size =\"37474304\"]\n  9 -> 29 [size =\"37474304\"]\n  10 [size=\"23845547\", alpha=\"0.06\", expect_size=\"7153664\"] \n  10 -> 29 [size =\"7153664\"]\n  10 -> 30 [size =\"7153664\"]\n  10 -> 31 [size =\"7153664\"]\n  11 [size=\"151429120\", alpha=\"0.16\", expect_size=\"45428736\"] \n  11 -> 32 [size =\"45428736\"]\n  11 -> 33 [size =\"45428736\"]\n  11 -> 35 [size =\"45428736\"]\n  12 [size=\"29385387\", alpha=\"0.01\", expect_size=\"8815616\"] \n  12 -> 27 [size =\"8815616\"]\n  12 -> 30 [size =\"8815616\"]\n  12 -> 31 [size =\"8815616\"]\n  12 -> 32 [size =\"8815616\"]\n  13 [size=\"110906027\", alpha=\"0.07\", expect_size=\"33271808\"] \n  13 -> 28 [size =\"33271808\"]\n  13 -> 34 [size =\"33271808\"]\n  14 [size=\"54046720\", alpha=\"0.16\", expect_size=\"16214016\"] \n  14 -> 27 [size =\"16214016\"]\n  14 -> 28 [size =\"16214016\"]\n  14 -> 29 [size =\"16214016\"]\n  14 -> 31 [size =\"16214016\"]\n  14 -> 32 [size =\"16214016\"]\n  14 -> 34 [size =\"16214016\"]\n  15 [size=\"33215147\", alpha=\"0.11\", expect_size=\"9964544\"] \n  15 -> 29 [size =\"9964544\"]\n  15 -> 31 [size =\"9964544\"]\n  15 -> 32 [size =\"9964544\"]\n  15 -> 35 [size =\"9964544\"]\n  16 [size=\"98734080\", alpha=\"0.11\", expect_size=\"29620224\"] \n  16 -> 28 [size =\"29620224\"]\n  16 -> 29 [size =\"29620224\"]\n  16 -> 30 [size =\"29620224\"]\n  16 -> 31 [size =\"29620224\"]\n  17 [size=\"87374507\", alpha=\"0.14\", expect_size=\"26212352\"] \n  17 -> 28 [size =\"26212352\"]\n  17 -> 29 [size =\"26212352\"]\n  17 -> 30 [size =\"26212352\"]\n  17 -> 31 [size =\"26212352\"]\n  17 -> 33 [size =\"26212352\"]\n  17 -> 35 [size =\"26212352\"]\n  18 [size=\"147732480\", alpha=\"0.16\", expect_size=\"44319744\"] \n  18 -> 35 [size =\"44319744\"]\n  19 [size=\"40939520\", alpha=\"0.06\", expect_size=\"12281856\"] \n  19 -> 28 [size =\"12281856\"]\n  19 -> 29 [size =\"12281856\"]\n  19 -> 35 [size =\"12281856\"]\n  20 [size=\"152285867\", alpha=\"0.02\", expect_size=\"45685760\"] \n  20 -> 28 [size =\"45685760\"]\n  20 -> 31 [size =\"45685760\"]\n  20 -> 35 [size =\"45685760\"]\n  21 [size=\"44834133\", alpha=\"0.04\", expect_size=\"13450240\"] \n  21 -> 28 [size =\"13450240\"]\n  21 -> 30 [size =\"13450240\"]\n  21 -> 31 [size =\"13450240\"]\n  21 -> 35 [size =\"13450240\"]\n  22 [size=\"169973760\", alpha=\"0.13\", expect_size=\"50992128\"] \n  22 -> 30 [size =\"50992128\"]\n  22 -> 30 [size =\"50992128\"]\n  22 -> 32 [size =\"50992128\"]\n  22 -> 35 [size =\"50992128\"]\n  23 [size=\"174199467\", alpha=\"0.05\", expect_size=\"52259840\"] \n  23 -> 30 [size =\"52259840\"]\n  23 -> 31 [size =\"52259840\"]\n  23 -> 32 [size =\"52259840\"]\n  23 -> 35 [size =\"52259840\"]\n  24 [size=\"68915200\", alpha=\"0.03\", expect_size=\"20674560\"] \n  24 -> 31 [size =\"20674560\"]\n  24 -> 32 [size =\"20674560\"]\n  24 -> 33 [size =\"20674560\"]\n  24 -> 35 [size =\"20674560\"]\n  25 [size=\"40181760\", alpha=\"0.13\", expect_size=\"12054528\"] \n  25 -> 28 [size =\"12054528\"]\n  25 -> 35 [size =\"12054528\"]\n  26 [size=\"125303467\", alpha=\"0.07\", expect_size=\"37591040\"] \n  26 -> 28 [size =\"37591040\"]\n  26 -> 35 [size =\"37591040\"]\n  27 [size=\"50858667\", alpha=\"0.02\", expect_size=\"15257600\"] \n  28 [size=\"159361707\", alpha=\"0.15\", expect_size=\"47808512\"] \n  29 [size=\"131590827\", alpha=\"0.02\", expect_size=\"39477248\"] \n  30 [size=\"22729387\", alpha=\"0.10\", expect_size=\"6818816\"] \n  31 [size=\"35788800\", alpha=\"0.14\", expect_size=\"10736640\"] \n  32 [size=\"64160427\", alpha=\"0.01\", expect_size=\"19248128\"] \n  33 [size=\"165089280\", alpha=\"0.19\", expect_size=\"49526784\"] \n  34 [size=\"44277760\", alpha=\"0.02\", expect_size=\"13283328\"] \n  35 [size=\"67543040\", alpha=\"0.07\", expect_size=\"20262912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163341653\", alpha=\"0.02\", expect_size=\"49002496\"] \n  1 -> 30 [size =\"49002496\"]\n  1 -> 33 [size =\"49002496\"]\n  2 [size=\"65539413\", alpha=\"0.02\", expect_size=\"19661824\"] \n  2 -> 30 [size =\"19661824\"]\n  2 -> 32 [size =\"19661824\"]\n  2 -> 33 [size =\"19661824\"]\n  3 [size=\"55224320\", alpha=\"0.13\", expect_size=\"16567296\"] \n  3 -> 30 [size =\"16567296\"]\n  4 [size=\"41038507\", alpha=\"0.19\", expect_size=\"12311552\"] \n  4 -> 35 [size =\"12311552\"]\n  5 [size=\"25545387\", alpha=\"0.06\", expect_size=\"7663616\"] \n  5 -> 30 [size =\"7663616\"]\n  5 -> 31 [size =\"7663616\"]\n  5 -> 33 [size =\"7663616\"]\n  5 -> 35 [size =\"7663616\"]\n  6 [size=\"61887147\", alpha=\"0.05\", expect_size=\"18566144\"] \n  6 -> 29 [size =\"18566144\"]\n  6 -> 30 [size =\"18566144\"]\n  7 [size=\"35945813\", alpha=\"0.16\", expect_size=\"10783744\"] \n  7 -> 33 [size =\"10783744\"]\n  7 -> 34 [size =\"10783744\"]\n  8 [size=\"127395840\", alpha=\"0.15\", expect_size=\"38218752\"] \n  8 -> 33 [size =\"38218752\"]\n  8 -> 34 [size =\"38218752\"]\n  9 [size=\"112288427\", alpha=\"0.08\", expect_size=\"33686528\"] \n  9 -> 30 [size =\"33686528\"]\n  9 -> 33 [size =\"33686528\"]\n  9 -> 34 [size =\"33686528\"]\n  10 [size=\"43892053\", alpha=\"0.04\", expect_size=\"13167616\"] \n  10 -> 30 [size =\"13167616\"]\n  10 -> 32 [size =\"13167616\"]\n  10 -> 34 [size =\"13167616\"]\n  11 [size=\"65378987\", alpha=\"0.16\", expect_size=\"19613696\"] \n  11 -> 30 [size =\"19613696\"]\n  11 -> 31 [size =\"19613696\"]\n  11 -> 32 [size =\"19613696\"]\n  11 -> 33 [size =\"19613696\"]\n  11 -> 34 [size =\"19613696\"]\n  11 -> 35 [size =\"19613696\"]\n  12 [size=\"79694507\", alpha=\"0.15\", expect_size=\"23908352\"] \n  12 -> 29 [size =\"23908352\"]\n  12 -> 30 [size =\"23908352\"]\n  12 -> 33 [size =\"23908352\"]\n  12 -> 34 [size =\"23908352\"]\n  12 -> 34 [size =\"23908352\"]\n  13 [size=\"96488107\", alpha=\"0.05\", expect_size=\"28946432\"] \n  13 -> 34 [size =\"28946432\"]\n  13 -> 35 [size =\"28946432\"]\n  14 [size=\"42260480\", alpha=\"0.01\", expect_size=\"12678144\"] \n  14 -> 30 [size =\"12678144\"]\n  14 -> 33 [size =\"12678144\"]\n  14 -> 34 [size =\"12678144\"]\n  15 [size=\"37246293\", alpha=\"0.03\", expect_size=\"11173888\"] \n  15 -> 35 [size =\"11173888\"]\n  16 [size=\"80629760\", alpha=\"0.01\", expect_size=\"24188928\"] \n  16 -> 33 [size =\"24188928\"]\n  17 [size=\"119371093\", alpha=\"0.06\", expect_size=\"35811328\"] \n  17 -> 32 [size =\"35811328\"]\n  18 [size=\"85213867\", alpha=\"0.08\", expect_size=\"25564160\"] \n  18 -> 29 [size =\"25564160\"]\n  18 -> 32 [size =\"25564160\"]\n  19 [size=\"49254400\", alpha=\"0.15\", expect_size=\"14776320\"] \n  19 -> 32 [size =\"14776320\"]\n  19 -> 33 [size =\"14776320\"]\n  20 [size=\"109445120\", alpha=\"0.15\", expect_size=\"32833536\"] \n  20 -> 29 [size =\"32833536\"]\n  21 [size=\"141830827\", alpha=\"0.14\", expect_size=\"42549248\"] \n  21 -> 30 [size =\"42549248\"]\n  21 -> 34 [size =\"42549248\"]\n  22 [size=\"113841493\", alpha=\"0.18\", expect_size=\"34152448\"] \n  23 [size=\"77991253\", alpha=\"0.08\", expect_size=\"23397376\"] \n  23 -> 30 [size =\"23397376\"]\n  24 [size=\"115974827\", alpha=\"0.00\", expect_size=\"34792448\"] \n  24 -> 30 [size =\"34792448\"]\n  24 -> 33 [size =\"34792448\"]\n  25 [size=\"120169813\", alpha=\"0.14\", expect_size=\"36050944\"] \n  25 -> 32 [size =\"36050944\"]\n  25 -> 33 [size =\"36050944\"]\n  26 [size=\"146155520\", alpha=\"0.13\", expect_size=\"43846656\"] \n  26 -> 30 [size =\"43846656\"]\n  26 -> 32 [size =\"43846656\"]\n  27 [size=\"151231147\", alpha=\"0.15\", expect_size=\"45369344\"] \n  27 -> 30 [size =\"45369344\"]\n  27 -> 33 [size =\"45369344\"]\n  28 [size=\"40919040\", alpha=\"0.10\", expect_size=\"12275712\"] \n  28 -> 30 [size =\"12275712\"]\n  28 -> 33 [size =\"12275712\"]\n  29 [size=\"101614933\", alpha=\"0.18\", expect_size=\"30484480\"] \n  30 [size=\"63173973\", alpha=\"0.08\", expect_size=\"18952192\"] \n  31 [size=\"24930987\", alpha=\"0.05\", expect_size=\"7479296\"] \n  32 [size=\"132751360\", alpha=\"0.10\", expect_size=\"39825408\"] \n  33 [size=\"120125440\", alpha=\"0.05\", expect_size=\"36037632\"] \n  34 [size=\"24804693\", alpha=\"0.03\", expect_size=\"7441408\"] \n  35 [size=\"27644587\", alpha=\"0.04\", expect_size=\"8293376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15974400\", alpha=\"0.04\", expect_size=\"6389760\"] \n  1 -> 12 [size =\"6389760\"]\n  1 -> 13 [size =\"6389760\"]\n  1 -> 14 [size =\"6389760\"]\n  1 -> 17 [size =\"6389760\"]\n  1 -> 20 [size =\"6389760\"]\n  2 [size=\"105784320\", alpha=\"0.18\", expect_size=\"42313728\"] \n  2 -> 11 [size =\"42313728\"]\n  2 -> 12 [size =\"42313728\"]\n  2 -> 14 [size =\"42313728\"]\n  2 -> 16 [size =\"42313728\"]\n  2 -> 17 [size =\"42313728\"]\n  2 -> 19 [size =\"42313728\"]\n  2 -> 20 [size =\"42313728\"]\n  3 [size=\"48934400\", alpha=\"0.03\", expect_size=\"19573760\"] \n  3 -> 11 [size =\"19573760\"]\n  3 -> 12 [size =\"19573760\"]\n  3 -> 13 [size =\"19573760\"]\n  3 -> 17 [size =\"19573760\"]\n  3 -> 18 [size =\"19573760\"]\n  4 [size=\"51384320\", alpha=\"0.01\", expect_size=\"20553728\"] \n  4 -> 12 [size =\"20553728\"]\n  5 [size=\"34752000\", alpha=\"0.10\", expect_size=\"13900800\"] \n  5 -> 11 [size =\"13900800\"]\n  5 -> 13 [size =\"13900800\"]\n  5 -> 17 [size =\"13900800\"]\n  5 -> 19 [size =\"13900800\"]\n  6 [size=\"75097600\", alpha=\"0.12\", expect_size=\"30039040\"] \n  6 -> 14 [size =\"30039040\"]\n  6 -> 16 [size =\"30039040\"]\n  6 -> 17 [size =\"30039040\"]\n  6 -> 20 [size =\"30039040\"]\n  7 [size=\"75356160\", alpha=\"0.01\", expect_size=\"30142464\"] \n  7 -> 12 [size =\"30142464\"]\n  7 -> 19 [size =\"30142464\"]\n  7 -> 21 [size =\"30142464\"]\n  8 [size=\"50895360\", alpha=\"0.00\", expect_size=\"20358144\"] \n  8 -> 13 [size =\"20358144\"]\n  8 -> 16 [size =\"20358144\"]\n  9 [size=\"41100800\", alpha=\"0.04\", expect_size=\"16440320\"] \n  9 -> 13 [size =\"16440320\"]\n  9 -> 20 [size =\"16440320\"]\n  9 -> 21 [size =\"16440320\"]\n  10 [size=\"50903040\", alpha=\"0.17\", expect_size=\"20361216\"] \n  10 -> 12 [size =\"20361216\"]\n  10 -> 13 [size =\"20361216\"]\n  10 -> 14 [size =\"20361216\"]\n  10 -> 15 [size =\"20361216\"]\n  10 -> 16 [size =\"20361216\"]\n  10 -> 17 [size =\"20361216\"]\n  10 -> 20 [size =\"20361216\"]\n  11 [size=\"36459520\", alpha=\"0.17\", expect_size=\"14583808\"] \n  11 -> 22 [size =\"14583808\"]\n  11 -> 24 [size =\"14583808\"]\n  11 -> 25 [size =\"14583808\"]\n  11 -> 26 [size =\"14583808\"]\n  11 -> 27 [size =\"14583808\"]\n  11 -> 29 [size =\"14583808\"]\n  11 -> 31 [size =\"14583808\"]\n  11 -> 32 [size =\"14583808\"]\n  12 [size=\"59202560\", alpha=\"0.04\", expect_size=\"23681024\"] \n  12 -> 24 [size =\"23681024\"]\n  12 -> 26 [size =\"23681024\"]\n  12 -> 27 [size =\"23681024\"]\n  12 -> 28 [size =\"23681024\"]\n  12 -> 29 [size =\"23681024\"]\n  12 -> 32 [size =\"23681024\"]\n  13 [size=\"44620800\", alpha=\"0.03\", expect_size=\"17848320\"] \n  13 -> 24 [size =\"17848320\"]\n  13 -> 27 [size =\"17848320\"]\n  13 -> 29 [size =\"17848320\"]\n  13 -> 32 [size =\"17848320\"]\n  14 [size=\"60019200\", alpha=\"0.17\", expect_size=\"24007680\"] \n  14 -> 23 [size =\"24007680\"]\n  14 -> 27 [size =\"24007680\"]\n  14 -> 28 [size =\"24007680\"]\n  14 -> 32 [size =\"24007680\"]\n  15 [size=\"66007040\", alpha=\"0.06\", expect_size=\"26402816\"] \n  15 -> 23 [size =\"26402816\"]\n  15 -> 24 [size =\"26402816\"]\n  15 -> 26 [size =\"26402816\"]\n  15 -> 29 [size =\"26402816\"]\n  15 -> 30 [size =\"26402816\"]\n  15 -> 31 [size =\"26402816\"]\n  16 [size=\"123525120\", alpha=\"0.05\", expect_size=\"49410048\"] \n  16 -> 26 [size =\"49410048\"]\n  16 -> 27 [size =\"49410048\"]\n  16 -> 29 [size =\"49410048\"]\n  16 -> 30 [size =\"49410048\"]\n  16 -> 31 [size =\"49410048\"]\n  17 [size=\"78686720\", alpha=\"0.04\", expect_size=\"31474688\"] \n  17 -> 23 [size =\"31474688\"]\n  17 -> 29 [size =\"31474688\"]\n  17 -> 30 [size =\"31474688\"]\n  18 [size=\"85885440\", alpha=\"0.14\", expect_size=\"34354176\"] \n  18 -> 23 [size =\"34354176\"]\n  18 -> 27 [size =\"34354176\"]\n  18 -> 30 [size =\"34354176\"]\n  18 -> 31 [size =\"34354176\"]\n  19 [size=\"88166400\", alpha=\"0.07\", expect_size=\"35266560\"] \n  19 -> 25 [size =\"35266560\"]\n  19 -> 27 [size =\"35266560\"]\n  19 -> 28 [size =\"35266560\"]\n  20 [size=\"114498560\", alpha=\"0.03\", expect_size=\"45799424\"] \n  20 -> 25 [size =\"45799424\"]\n  20 -> 28 [size =\"45799424\"]\n  20 -> 29 [size =\"45799424\"]\n  20 -> 32 [size =\"45799424\"]\n  21 [size=\"94704640\", alpha=\"0.00\", expect_size=\"37881856\"] \n  21 -> 22 [size =\"37881856\"]\n  21 -> 26 [size =\"37881856\"]\n  21 -> 32 [size =\"37881856\"]\n  21 -> 33 [size =\"37881856\"]\n  22 [size=\"77821440\", alpha=\"0.13\", expect_size=\"31128576\"] \n  23 [size=\"103841280\", alpha=\"0.12\", expect_size=\"41536512\"] \n  23 -> 35 [size =\"41536512\"]\n  24 [size=\"120076800\", alpha=\"0.17\", expect_size=\"48030720\"] \n  25 [size=\"100323840\", alpha=\"0.06\", expect_size=\"40129536\"] \n  26 [size=\"19604480\", alpha=\"0.06\", expect_size=\"7841792\"] \n  27 [size=\"48732160\", alpha=\"0.16\", expect_size=\"19492864\"] \n  28 [size=\"72606720\", alpha=\"0.13\", expect_size=\"29042688\"] \n  29 [size=\"35735040\", alpha=\"0.14\", expect_size=\"14294016\"] \n  30 [size=\"75873280\", alpha=\"0.01\", expect_size=\"30349312\"] \n  31 [size=\"95828480\", alpha=\"0.13\", expect_size=\"38331392\"] \n  32 [size=\"98470400\", alpha=\"0.12\", expect_size=\"39388160\"] \n  32 -> 34 [size =\"39388160\"]\n  33 [size=\"58513920\", alpha=\"0.17\", expect_size=\"23405568\"] \n  34 [size=\"129748480\", alpha=\"0.10\", expect_size=\"51899392\"] \n  35 [size=\"114524160\", alpha=\"0.12\", expect_size=\"45809664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28706816\", alpha=\"0.01\", expect_size=\"14353408\"] \n  1 -> 3 [size =\"14353408\"]\n  2 [size=\"32739328\", alpha=\"0.05\", expect_size=\"16369664\"] \n  2 -> 3 [size =\"16369664\"]\n  3 [size=\"64747520\", alpha=\"0.15\", expect_size=\"32373760\"] \n  3 -> 4 [size =\"32373760\"]\n  3 -> 5 [size =\"32373760\"]\n  4 [size=\"21483520\", alpha=\"0.05\", expect_size=\"10741760\"] \n  4 -> 6 [size =\"10741760\"]\n  5 [size=\"45856768\", alpha=\"0.10\", expect_size=\"22928384\"] \n  5 -> 6 [size =\"22928384\"]\n  6 [size=\"15116288\", alpha=\"0.07\", expect_size=\"7558144\"] \n  6 -> 7 [size =\"7558144\"]\n  7 [size=\"28448768\", alpha=\"0.07\", expect_size=\"14224384\"] \n  7 -> 8 [size =\"14224384\"]\n  8 [size=\"84195328\", alpha=\"0.18\", expect_size=\"42097664\"] \n  8 -> 9 [size =\"42097664\"]\n  8 -> 10 [size =\"42097664\"]\n  9 [size=\"42776576\", alpha=\"0.14\", expect_size=\"21388288\"] \n  9 -> 11 [size =\"21388288\"]\n  10 [size=\"67057664\", alpha=\"0.09\", expect_size=\"33528832\"] \n  11 [size=\"55654400\", alpha=\"0.18\", expect_size=\"27827200\"] \n  11 -> 12 [size =\"27827200\"]\n  11 -> 13 [size =\"27827200\"]\n  12 [size=\"60497920\", alpha=\"0.08\", expect_size=\"30248960\"] \n  12 -> 14 [size =\"30248960\"]\n  13 [size=\"85614592\", alpha=\"0.14\", expect_size=\"42807296\"] \n  13 -> 14 [size =\"42807296\"]\n  14 [size=\"61007872\", alpha=\"0.10\", expect_size=\"30503936\"] \n  14 -> 15 [size =\"30503936\"]\n  14 -> 16 [size =\"30503936\"]\n  15 [size=\"86720512\", alpha=\"0.14\", expect_size=\"43360256\"] \n  15 -> 17 [size =\"43360256\"]\n  15 -> 18 [size =\"43360256\"]\n  16 [size=\"41443328\", alpha=\"0.02\", expect_size=\"20721664\"] \n  16 -> 17 [size =\"20721664\"]\n  16 -> 18 [size =\"20721664\"]\n  17 [size=\"76527616\", alpha=\"0.04\", expect_size=\"38263808\"] \n  17 -> 19 [size =\"38263808\"]\n  17 -> 20 [size =\"38263808\"]\n  18 [size=\"14809088\", alpha=\"0.08\", expect_size=\"7404544\"] \n  18 -> 19 [size =\"7404544\"]\n  18 -> 20 [size =\"7404544\"]\n  19 [size=\"97974272\", alpha=\"0.14\", expect_size=\"48987136\"] \n  19 -> 21 [size =\"48987136\"]\n  20 [size=\"68997120\", alpha=\"0.12\", expect_size=\"34498560\"] \n  20 -> 21 [size =\"34498560\"]\n  21 [size=\"17668096\", alpha=\"0.13\", expect_size=\"8834048\"] \n  21 -> 22 [size =\"8834048\"]\n  21 -> 23 [size =\"8834048\"]\n  22 [size=\"102453248\", alpha=\"0.19\", expect_size=\"51226624\"] \n  22 -> 24 [size =\"51226624\"]\n  22 -> 25 [size =\"51226624\"]\n  23 [size=\"47935488\", alpha=\"0.17\", expect_size=\"23967744\"] \n  23 -> 24 [size =\"23967744\"]\n  23 -> 25 [size =\"23967744\"]\n  24 [size=\"21512192\", alpha=\"0.17\", expect_size=\"10756096\"] \n  24 -> 26 [size =\"10756096\"]\n  25 [size=\"66914304\", alpha=\"0.05\", expect_size=\"33457152\"] \n  25 -> 26 [size =\"33457152\"]\n  26 [size=\"38811648\", alpha=\"0.13\", expect_size=\"19405824\"] \n  26 -> 27 [size =\"19405824\"]\n  26 -> 28 [size =\"19405824\"]\n  27 [size=\"50262016\", alpha=\"0.06\", expect_size=\"25131008\"] \n  27 -> 29 [size =\"25131008\"]\n  28 [size=\"70672384\", alpha=\"0.14\", expect_size=\"35336192\"] \n  28 -> 29 [size =\"35336192\"]\n  29 [size=\"12636160\", alpha=\"0.09\", expect_size=\"6318080\"] \n  29 -> 30 [size =\"6318080\"]\n  29 -> 31 [size =\"6318080\"]\n  30 [size=\"78284800\", alpha=\"0.15\", expect_size=\"39142400\"] \n  30 -> 32 [size =\"39142400\"]\n  30 -> 33 [size =\"39142400\"]\n  31 [size=\"38641664\", alpha=\"0.12\", expect_size=\"19320832\"] \n  31 -> 32 [size =\"19320832\"]\n  31 -> 33 [size =\"19320832\"]\n  32 [size=\"100669440\", alpha=\"0.19\", expect_size=\"50334720\"] \n  32 -> 34 [size =\"50334720\"]\n  32 -> 35 [size =\"50334720\"]\n  33 [size=\"97880064\", alpha=\"0.02\", expect_size=\"48940032\"] \n  33 -> 34 [size =\"48940032\"]\n  33 -> 35 [size =\"48940032\"]\n  34 [size=\"84535296\", alpha=\"0.15\", expect_size=\"42267648\"] \n  35 [size=\"71636992\", alpha=\"0.05\", expect_size=\"35818496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13498368\", alpha=\"0.06\", expect_size=\"6749184\"] \n  1 -> 2 [size =\"6749184\"]\n  2 [size=\"40546304\", alpha=\"0.02\", expect_size=\"20273152\"] \n  2 -> 3 [size =\"20273152\"]\n  3 [size=\"58771456\", alpha=\"0.00\", expect_size=\"29385728\"] \n  3 -> 4 [size =\"29385728\"]\n  4 [size=\"75345920\", alpha=\"0.10\", expect_size=\"37672960\"] \n  4 -> 5 [size =\"37672960\"]\n  5 [size=\"28461056\", alpha=\"0.13\", expect_size=\"14230528\"] \n  5 -> 6 [size =\"14230528\"]\n  6 [size=\"18581504\", alpha=\"0.12\", expect_size=\"9290752\"] \n  6 -> 7 [size =\"9290752\"]\n  7 [size=\"27691008\", alpha=\"0.02\", expect_size=\"13845504\"] \n  7 -> 8 [size =\"13845504\"]\n  8 [size=\"45809664\", alpha=\"0.15\", expect_size=\"22904832\"] \n  8 -> 9 [size =\"22904832\"]\n  9 [size=\"70094848\", alpha=\"0.05\", expect_size=\"35047424\"] \n  9 -> 10 [size =\"35047424\"]\n  10 [size=\"24340480\", alpha=\"0.07\", expect_size=\"12170240\"] \n  10 -> 11 [size =\"12170240\"]\n  11 [size=\"16134144\", alpha=\"0.03\", expect_size=\"8067072\"] \n  11 -> 12 [size =\"8067072\"]\n  12 [size=\"45248512\", alpha=\"0.07\", expect_size=\"22624256\"] \n  12 -> 13 [size =\"22624256\"]\n  13 [size=\"56389632\", alpha=\"0.18\", expect_size=\"28194816\"] \n  13 -> 14 [size =\"28194816\"]\n  14 [size=\"57325568\", alpha=\"0.09\", expect_size=\"28662784\"] \n  14 -> 15 [size =\"28662784\"]\n  15 [size=\"103417856\", alpha=\"0.07\", expect_size=\"51708928\"] \n  15 -> 16 [size =\"51708928\"]\n  16 [size=\"68474880\", alpha=\"0.03\", expect_size=\"34237440\"] \n  16 -> 17 [size =\"34237440\"]\n  17 [size=\"32067584\", alpha=\"0.13\", expect_size=\"16033792\"] \n  17 -> 18 [size =\"16033792\"]\n  18 [size=\"43456512\", alpha=\"0.01\", expect_size=\"21728256\"] \n  18 -> 19 [size =\"21728256\"]\n  19 [size=\"21999616\", alpha=\"0.17\", expect_size=\"10999808\"] \n  19 -> 20 [size =\"10999808\"]\n  20 [size=\"44386304\", alpha=\"0.18\", expect_size=\"22193152\"] \n  20 -> 21 [size =\"22193152\"]\n  21 [size=\"76322816\", alpha=\"0.19\", expect_size=\"38161408\"] \n  21 -> 22 [size =\"38161408\"]\n  22 [size=\"88279040\", alpha=\"0.07\", expect_size=\"44139520\"] \n  22 -> 23 [size =\"44139520\"]\n  23 [size=\"29270016\", alpha=\"0.05\", expect_size=\"14635008\"] \n  23 -> 24 [size =\"14635008\"]\n  24 [size=\"21479424\", alpha=\"0.16\", expect_size=\"10739712\"] \n  24 -> 25 [size =\"10739712\"]\n  25 [size=\"66273280\", alpha=\"0.12\", expect_size=\"33136640\"] \n  25 -> 26 [size =\"33136640\"]\n  26 [size=\"100950016\", alpha=\"0.09\", expect_size=\"50475008\"] \n  26 -> 27 [size =\"50475008\"]\n  27 [size=\"21929984\", alpha=\"0.10\", expect_size=\"10964992\"] \n  27 -> 28 [size =\"10964992\"]\n  28 [size=\"81958912\", alpha=\"0.18\", expect_size=\"40979456\"] \n  28 -> 29 [size =\"40979456\"]\n  29 [size=\"86263808\", alpha=\"0.19\", expect_size=\"43131904\"] \n  29 -> 30 [size =\"43131904\"]\n  30 [size=\"74186752\", alpha=\"0.03\", expect_size=\"37093376\"] \n  30 -> 31 [size =\"37093376\"]\n  31 [size=\"65095680\", alpha=\"0.08\", expect_size=\"32547840\"] \n  31 -> 32 [size =\"32547840\"]\n  32 [size=\"62005248\", alpha=\"0.00\", expect_size=\"31002624\"] \n  32 -> 33 [size =\"31002624\"]\n  33 [size=\"94978048\", alpha=\"0.03\", expect_size=\"47489024\"] \n  33 -> 34 [size =\"47489024\"]\n  34 [size=\"23554048\", alpha=\"0.15\", expect_size=\"11777024\"] \n  34 -> 35 [size =\"11777024\"]\n  35 [size=\"101343232\", alpha=\"0.06\", expect_size=\"50671616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92412587\", alpha=\"0.17\", expect_size=\"27723776\"] \n  1 -> 3 [size =\"27723776\"]\n  2 [size=\"26282667\", alpha=\"0.01\", expect_size=\"7884800\"] \n  3 [size=\"129542827\", alpha=\"0.04\", expect_size=\"38862848\"] \n  3 -> 4 [size =\"38862848\"]\n  3 -> 5 [size =\"38862848\"]\n  4 [size=\"89473707\", alpha=\"0.08\", expect_size=\"26842112\"] \n  4 -> 6 [size =\"26842112\"]\n  5 [size=\"31726933\", alpha=\"0.15\", expect_size=\"9518080\"] \n  6 [size=\"43642880\", alpha=\"0.10\", expect_size=\"13092864\"] \n  6 -> 7 [size =\"13092864\"]\n  7 [size=\"63245653\", alpha=\"0.15\", expect_size=\"18973696\"] \n  7 -> 8 [size =\"18973696\"]\n  7 -> 9 [size =\"18973696\"]\n  8 [size=\"142704640\", alpha=\"0.03\", expect_size=\"42811392\"] \n  8 -> 10 [size =\"42811392\"]\n  9 [size=\"122763947\", alpha=\"0.17\", expect_size=\"36829184\"] \n  10 [size=\"53261653\", alpha=\"0.08\", expect_size=\"15978496\"] \n  10 -> 11 [size =\"15978496\"]\n  11 [size=\"42840747\", alpha=\"0.11\", expect_size=\"12852224\"] \n  11 -> 12 [size =\"12852224\"]\n  12 [size=\"22644053\", alpha=\"0.00\", expect_size=\"6793216\"] \n  12 -> 13 [size =\"6793216\"]\n  13 [size=\"32672427\", alpha=\"0.09\", expect_size=\"9801728\"] \n  13 -> 14 [size =\"9801728\"]\n  13 -> 15 [size =\"9801728\"]\n  14 [size=\"61296640\", alpha=\"0.18\", expect_size=\"18388992\"] \n  14 -> 16 [size =\"18388992\"]\n  15 [size=\"121251840\", alpha=\"0.10\", expect_size=\"36375552\"] \n  15 -> 16 [size =\"36375552\"]\n  16 [size=\"83985067\", alpha=\"0.12\", expect_size=\"25195520\"] \n  16 -> 17 [size =\"25195520\"]\n  17 [size=\"159668907\", alpha=\"0.18\", expect_size=\"47900672\"] \n  17 -> 18 [size =\"47900672\"]\n  18 [size=\"123105280\", alpha=\"0.01\", expect_size=\"36931584\"] \n  18 -> 19 [size =\"36931584\"]\n  18 -> 20 [size =\"36931584\"]\n  19 [size=\"145486507\", alpha=\"0.16\", expect_size=\"43645952\"] \n  19 -> 22 [size =\"43645952\"]\n  20 [size=\"125207893\", alpha=\"0.12\", expect_size=\"37562368\"] \n  20 -> 21 [size =\"37562368\"]\n  21 [size=\"28422827\", alpha=\"0.18\", expect_size=\"8526848\"] \n  21 -> 23 [size =\"8526848\"]\n  22 [size=\"114715307\", alpha=\"0.05\", expect_size=\"34414592\"] \n  23 [size=\"115752960\", alpha=\"0.06\", expect_size=\"34725888\"] \n  23 -> 24 [size =\"34725888\"]\n  23 -> 25 [size =\"34725888\"]\n  24 [size=\"27938133\", alpha=\"0.17\", expect_size=\"8381440\"] \n  24 -> 26 [size =\"8381440\"]\n  25 [size=\"172305067\", alpha=\"0.09\", expect_size=\"51691520\"] \n  25 -> 26 [size =\"51691520\"]\n  25 -> 27 [size =\"51691520\"]\n  26 [size=\"96034133\", alpha=\"0.05\", expect_size=\"28810240\"] \n  26 -> 28 [size =\"28810240\"]\n  26 -> 29 [size =\"28810240\"]\n  27 [size=\"32385707\", alpha=\"0.06\", expect_size=\"9715712\"] \n  27 -> 28 [size =\"9715712\"]\n  27 -> 29 [size =\"9715712\"]\n  28 [size=\"170028373\", alpha=\"0.03\", expect_size=\"51008512\"] \n  28 -> 30 [size =\"51008512\"]\n  28 -> 31 [size =\"51008512\"]\n  29 [size=\"21961387\", alpha=\"0.14\", expect_size=\"6588416\"] \n  29 -> 30 [size =\"6588416\"]\n  30 [size=\"144196267\", alpha=\"0.09\", expect_size=\"43258880\"] \n  30 -> 32 [size =\"43258880\"]\n  31 [size=\"80892587\", alpha=\"0.08\", expect_size=\"24267776\"] \n  31 -> 32 [size =\"24267776\"]\n  32 [size=\"64269653\", alpha=\"0.07\", expect_size=\"19280896\"] \n  32 -> 33 [size =\"19280896\"]\n  32 -> 34 [size =\"19280896\"]\n  33 [size=\"103137280\", alpha=\"0.08\", expect_size=\"30941184\"] \n  34 [size=\"152279040\", alpha=\"0.15\", expect_size=\"45683712\"] \n  34 -> 35 [size =\"45683712\"]\n  35 [size=\"126409387\", alpha=\"0.15\", expect_size=\"37922816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27342848\", alpha=\"0.02\", expect_size=\"13671424\"] \n  1 -> 3 [size =\"13671424\"]\n  1 -> 4 [size =\"13671424\"]\n  2 [size=\"38221824\", alpha=\"0.13\", expect_size=\"19110912\"] \n  2 -> 3 [size =\"19110912\"]\n  2 -> 4 [size =\"19110912\"]\n  3 [size=\"28813312\", alpha=\"0.07\", expect_size=\"14406656\"] \n  3 -> 5 [size =\"14406656\"]\n  3 -> 6 [size =\"14406656\"]\n  4 [size=\"23554048\", alpha=\"0.10\", expect_size=\"11777024\"] \n  4 -> 5 [size =\"11777024\"]\n  5 [size=\"29870080\", alpha=\"0.17\", expect_size=\"14935040\"] \n  5 -> 7 [size =\"14935040\"]\n  6 [size=\"27170816\", alpha=\"0.00\", expect_size=\"13585408\"] \n  6 -> 7 [size =\"13585408\"]\n  7 [size=\"49469440\", alpha=\"0.10\", expect_size=\"24734720\"] \n  7 -> 8 [size =\"24734720\"]\n  8 [size=\"86157312\", alpha=\"0.07\", expect_size=\"43078656\"] \n  8 -> 9 [size =\"43078656\"]\n  8 -> 10 [size =\"43078656\"]\n  9 [size=\"61290496\", alpha=\"0.15\", expect_size=\"30645248\"] \n  9 -> 11 [size =\"30645248\"]\n  10 [size=\"66060288\", alpha=\"0.19\", expect_size=\"33030144\"] \n  11 [size=\"58210304\", alpha=\"0.18\", expect_size=\"29105152\"] \n  11 -> 12 [size =\"29105152\"]\n  11 -> 13 [size =\"29105152\"]\n  12 [size=\"69502976\", alpha=\"0.07\", expect_size=\"34751488\"] \n  12 -> 14 [size =\"34751488\"]\n  12 -> 15 [size =\"34751488\"]\n  13 [size=\"35477504\", alpha=\"0.06\", expect_size=\"17738752\"] \n  13 -> 14 [size =\"17738752\"]\n  13 -> 15 [size =\"17738752\"]\n  14 [size=\"66873344\", alpha=\"0.02\", expect_size=\"33436672\"] \n  14 -> 16 [size =\"33436672\"]\n  15 [size=\"20936704\", alpha=\"0.09\", expect_size=\"10468352\"] \n  15 -> 16 [size =\"10468352\"]\n  16 [size=\"101681152\", alpha=\"0.11\", expect_size=\"50840576\"] \n  16 -> 17 [size =\"50840576\"]\n  17 [size=\"102371328\", alpha=\"0.01\", expect_size=\"51185664\"] \n  17 -> 18 [size =\"51185664\"]\n  18 [size=\"56025088\", alpha=\"0.11\", expect_size=\"28012544\"] \n  18 -> 19 [size =\"28012544\"]\n  18 -> 20 [size =\"28012544\"]\n  19 [size=\"87314432\", alpha=\"0.09\", expect_size=\"43657216\"] \n  19 -> 21 [size =\"43657216\"]\n  20 [size=\"64004096\", alpha=\"0.01\", expect_size=\"32002048\"] \n  20 -> 21 [size =\"32002048\"]\n  21 [size=\"60583936\", alpha=\"0.17\", expect_size=\"30291968\"] \n  21 -> 22 [size =\"30291968\"]\n  21 -> 23 [size =\"30291968\"]\n  22 [size=\"51187712\", alpha=\"0.19\", expect_size=\"25593856\"] \n  22 -> 24 [size =\"25593856\"]\n  22 -> 25 [size =\"25593856\"]\n  23 [size=\"84142080\", alpha=\"0.04\", expect_size=\"42071040\"] \n  23 -> 24 [size =\"42071040\"]\n  23 -> 25 [size =\"42071040\"]\n  24 [size=\"17745920\", alpha=\"0.13\", expect_size=\"8872960\"] \n  24 -> 26 [size =\"8872960\"]\n  24 -> 27 [size =\"8872960\"]\n  25 [size=\"26728448\", alpha=\"0.05\", expect_size=\"13364224\"] \n  25 -> 26 [size =\"13364224\"]\n  25 -> 27 [size =\"13364224\"]\n  26 [size=\"71057408\", alpha=\"0.01\", expect_size=\"35528704\"] \n  26 -> 28 [size =\"35528704\"]\n  27 [size=\"26937344\", alpha=\"0.06\", expect_size=\"13468672\"] \n  27 -> 28 [size =\"13468672\"]\n  28 [size=\"31219712\", alpha=\"0.06\", expect_size=\"15609856\"] \n  28 -> 29 [size =\"15609856\"]\n  29 [size=\"83001344\", alpha=\"0.17\", expect_size=\"41500672\"] \n  29 -> 30 [size =\"41500672\"]\n  30 [size=\"31664128\", alpha=\"0.20\", expect_size=\"15832064\"] \n  30 -> 31 [size =\"15832064\"]\n  30 -> 32 [size =\"15832064\"]\n  31 [size=\"38141952\", alpha=\"0.13\", expect_size=\"19070976\"] \n  31 -> 33 [size =\"19070976\"]\n  32 [size=\"24920064\", alpha=\"0.18\", expect_size=\"12460032\"] \n  32 -> 33 [size =\"12460032\"]\n  33 [size=\"19736576\", alpha=\"0.09\", expect_size=\"9868288\"] \n  33 -> 34 [size =\"9868288\"]\n  33 -> 35 [size =\"9868288\"]\n  34 [size=\"40919040\", alpha=\"0.12\", expect_size=\"20459520\"] \n  35 [size=\"101535744\", alpha=\"0.17\", expect_size=\"50767872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87664640\", alpha=\"0.00\", expect_size=\"43832320\"] \n  1 -> 15 [size =\"43832320\"]\n  1 -> 16 [size =\"43832320\"]\n  1 -> 17 [size =\"43832320\"]\n  1 -> 19 [size =\"43832320\"]\n  1 -> 20 [size =\"43832320\"]\n  1 -> 21 [size =\"43832320\"]\n  1 -> 22 [size =\"43832320\"]\n  1 -> 24 [size =\"43832320\"]\n  1 -> 25 [size =\"43832320\"]\n  2 [size=\"63404032\", alpha=\"0.16\", expect_size=\"31702016\"] \n  2 -> 17 [size =\"31702016\"]\n  2 -> 18 [size =\"31702016\"]\n  2 -> 21 [size =\"31702016\"]\n  2 -> 25 [size =\"31702016\"]\n  2 -> 27 [size =\"31702016\"]\n  3 [size=\"40355840\", alpha=\"0.15\", expect_size=\"20177920\"] \n  3 -> 16 [size =\"20177920\"]\n  3 -> 17 [size =\"20177920\"]\n  3 -> 18 [size =\"20177920\"]\n  3 -> 20 [size =\"20177920\"]\n  3 -> 21 [size =\"20177920\"]\n  3 -> 25 [size =\"20177920\"]\n  3 -> 27 [size =\"20177920\"]\n  4 [size=\"85839872\", alpha=\"0.09\", expect_size=\"42919936\"] \n  4 -> 16 [size =\"42919936\"]\n  4 -> 17 [size =\"42919936\"]\n  4 -> 18 [size =\"42919936\"]\n  4 -> 21 [size =\"42919936\"]\n  4 -> 21 [size =\"42919936\"]\n  4 -> 25 [size =\"42919936\"]\n  5 [size=\"79828992\", alpha=\"0.08\", expect_size=\"39914496\"] \n  5 -> 16 [size =\"39914496\"]\n  5 -> 17 [size =\"39914496\"]\n  5 -> 18 [size =\"39914496\"]\n  5 -> 21 [size =\"39914496\"]\n  5 -> 22 [size =\"39914496\"]\n  5 -> 25 [size =\"39914496\"]\n  5 -> 27 [size =\"39914496\"]\n  6 [size=\"38713344\", alpha=\"0.07\", expect_size=\"19356672\"] \n  6 -> 16 [size =\"19356672\"]\n  6 -> 17 [size =\"19356672\"]\n  6 -> 18 [size =\"19356672\"]\n  6 -> 21 [size =\"19356672\"]\n  6 -> 24 [size =\"19356672\"]\n  6 -> 25 [size =\"19356672\"]\n  6 -> 26 [size =\"19356672\"]\n  6 -> 27 [size =\"19356672\"]\n  7 [size=\"39577600\", alpha=\"0.08\", expect_size=\"19788800\"] \n  7 -> 16 [size =\"19788800\"]\n  7 -> 18 [size =\"19788800\"]\n  7 -> 20 [size =\"19788800\"]\n  7 -> 22 [size =\"19788800\"]\n  7 -> 24 [size =\"19788800\"]\n  7 -> 25 [size =\"19788800\"]\n  7 -> 27 [size =\"19788800\"]\n  8 [size=\"46563328\", alpha=\"0.14\", expect_size=\"23281664\"] \n  8 -> 15 [size =\"23281664\"]\n  8 -> 16 [size =\"23281664\"]\n  8 -> 17 [size =\"23281664\"]\n  8 -> 24 [size =\"23281664\"]\n  8 -> 24 [size =\"23281664\"]\n  8 -> 27 [size =\"23281664\"]\n  9 [size=\"88145920\", alpha=\"0.06\", expect_size=\"44072960\"] \n  9 -> 16 [size =\"44072960\"]\n  9 -> 16 [size =\"44072960\"]\n  9 -> 17 [size =\"44072960\"]\n  9 -> 20 [size =\"44072960\"]\n  9 -> 21 [size =\"44072960\"]\n  9 -> 22 [size =\"44072960\"]\n  9 -> 25 [size =\"44072960\"]\n  9 -> 27 [size =\"44072960\"]\n  10 [size=\"25432064\", alpha=\"0.01\", expect_size=\"12716032\"] \n  10 -> 17 [size =\"12716032\"]\n  10 -> 20 [size =\"12716032\"]\n  10 -> 21 [size =\"12716032\"]\n  10 -> 24 [size =\"12716032\"]\n  10 -> 27 [size =\"12716032\"]\n  11 [size=\"20891648\", alpha=\"0.20\", expect_size=\"10445824\"] \n  11 -> 17 [size =\"10445824\"]\n  11 -> 18 [size =\"10445824\"]\n  11 -> 21 [size =\"10445824\"]\n  11 -> 22 [size =\"10445824\"]\n  11 -> 24 [size =\"10445824\"]\n  11 -> 27 [size =\"10445824\"]\n  12 [size=\"21964800\", alpha=\"0.01\", expect_size=\"10982400\"] \n  12 -> 17 [size =\"10982400\"]\n  12 -> 18 [size =\"10982400\"]\n  12 -> 21 [size =\"10982400\"]\n  12 -> 24 [size =\"10982400\"]\n  12 -> 24 [size =\"10982400\"]\n  12 -> 27 [size =\"10982400\"]\n  13 [size=\"96708608\", alpha=\"0.06\", expect_size=\"48354304\"] \n  13 -> 17 [size =\"48354304\"]\n  13 -> 18 [size =\"48354304\"]\n  13 -> 21 [size =\"48354304\"]\n  13 -> 25 [size =\"48354304\"]\n  13 -> 27 [size =\"48354304\"]\n  13 -> 27 [size =\"48354304\"]\n  14 [size=\"74563584\", alpha=\"0.16\", expect_size=\"37281792\"] \n  14 -> 15 [size =\"37281792\"]\n  14 -> 16 [size =\"37281792\"]\n  14 -> 17 [size =\"37281792\"]\n  14 -> 21 [size =\"37281792\"]\n  14 -> 23 [size =\"37281792\"]\n  14 -> 25 [size =\"37281792\"]\n  14 -> 27 [size =\"37281792\"]\n  15 [size=\"23920640\", alpha=\"0.08\", expect_size=\"11960320\"] \n  15 -> 28 [size =\"11960320\"]\n  15 -> 33 [size =\"11960320\"]\n  15 -> 35 [size =\"11960320\"]\n  16 [size=\"63596544\", alpha=\"0.05\", expect_size=\"31798272\"] \n  16 -> 28 [size =\"31798272\"]\n  16 -> 32 [size =\"31798272\"]\n  16 -> 33 [size =\"31798272\"]\n  17 [size=\"95283200\", alpha=\"0.11\", expect_size=\"47641600\"] \n  17 -> 28 [size =\"47641600\"]\n  17 -> 30 [size =\"47641600\"]\n  17 -> 31 [size =\"47641600\"]\n  17 -> 33 [size =\"47641600\"]\n  18 [size=\"39045120\", alpha=\"0.03\", expect_size=\"19522560\"] \n  18 -> 28 [size =\"19522560\"]\n  18 -> 30 [size =\"19522560\"]\n  18 -> 32 [size =\"19522560\"]\n  18 -> 33 [size =\"19522560\"]\n  18 -> 35 [size =\"19522560\"]\n  19 [size=\"104517632\", alpha=\"0.19\", expect_size=\"52258816\"] \n  19 -> 28 [size =\"52258816\"]\n  19 -> 32 [size =\"52258816\"]\n  19 -> 33 [size =\"52258816\"]\n  19 -> 33 [size =\"52258816\"]\n  19 -> 34 [size =\"52258816\"]\n  20 [size=\"38356992\", alpha=\"0.13\", expect_size=\"19178496\"] \n  20 -> 30 [size =\"19178496\"]\n  20 -> 32 [size =\"19178496\"]\n  20 -> 34 [size =\"19178496\"]\n  20 -> 35 [size =\"19178496\"]\n  21 [size=\"44548096\", alpha=\"0.04\", expect_size=\"22274048\"] \n  21 -> 30 [size =\"22274048\"]\n  21 -> 32 [size =\"22274048\"]\n  21 -> 33 [size =\"22274048\"]\n  21 -> 35 [size =\"22274048\"]\n  22 [size=\"44199936\", alpha=\"0.06\", expect_size=\"22099968\"] \n  22 -> 30 [size =\"22099968\"]\n  22 -> 34 [size =\"22099968\"]\n  23 [size=\"49186816\", alpha=\"0.14\", expect_size=\"24593408\"] \n  23 -> 28 [size =\"24593408\"]\n  23 -> 29 [size =\"24593408\"]\n  23 -> 33 [size =\"24593408\"]\n  23 -> 34 [size =\"24593408\"]\n  23 -> 35 [size =\"24593408\"]\n  24 [size=\"77733888\", alpha=\"0.18\", expect_size=\"38866944\"] \n  24 -> 31 [size =\"38866944\"]\n  24 -> 32 [size =\"38866944\"]\n  24 -> 33 [size =\"38866944\"]\n  24 -> 34 [size =\"38866944\"]\n  25 [size=\"57767936\", alpha=\"0.17\", expect_size=\"28883968\"] \n  25 -> 32 [size =\"28883968\"]\n  25 -> 32 [size =\"28883968\"]\n  25 -> 33 [size =\"28883968\"]\n  25 -> 35 [size =\"28883968\"]\n  26 [size=\"93712384\", alpha=\"0.02\", expect_size=\"46856192\"] \n  26 -> 29 [size =\"46856192\"]\n  26 -> 30 [size =\"46856192\"]\n  26 -> 32 [size =\"46856192\"]\n  26 -> 33 [size =\"46856192\"]\n  26 -> 35 [size =\"46856192\"]\n  27 [size=\"22626304\", alpha=\"0.13\", expect_size=\"11313152\"] \n  27 -> 28 [size =\"11313152\"]\n  27 -> 29 [size =\"11313152\"]\n  27 -> 31 [size =\"11313152\"]\n  27 -> 35 [size =\"11313152\"]\n  28 [size=\"75440128\", alpha=\"0.12\", expect_size=\"37720064\"] \n  29 [size=\"87400448\", alpha=\"0.07\", expect_size=\"43700224\"] \n  30 [size=\"81571840\", alpha=\"0.06\", expect_size=\"40785920\"] \n  31 [size=\"49233920\", alpha=\"0.06\", expect_size=\"24616960\"] \n  32 [size=\"67565568\", alpha=\"0.09\", expect_size=\"33782784\"] \n  33 [size=\"95115264\", alpha=\"0.11\", expect_size=\"47557632\"] \n  34 [size=\"67381248\", alpha=\"0.05\", expect_size=\"33690624\"] \n  35 [size=\"59717632\", alpha=\"0.03\", expect_size=\"29858816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79022080\", alpha=\"0.16\", expect_size=\"31608832\"] \n  1 -> 27 [size =\"31608832\"]\n  1 -> 29 [size =\"31608832\"]\n  1 -> 30 [size =\"31608832\"]\n  1 -> 31 [size =\"31608832\"]\n  1 -> 33 [size =\"31608832\"]\n  1 -> 35 [size =\"31608832\"]\n  2 [size=\"125747200\", alpha=\"0.03\", expect_size=\"50298880\"] \n  2 -> 27 [size =\"50298880\"]\n  2 -> 29 [size =\"50298880\"]\n  2 -> 31 [size =\"50298880\"]\n  2 -> 33 [size =\"50298880\"]\n  3 [size=\"60889600\", alpha=\"0.15\", expect_size=\"24355840\"] \n  3 -> 29 [size =\"24355840\"]\n  3 -> 32 [size =\"24355840\"]\n  3 -> 33 [size =\"24355840\"]\n  4 [size=\"23897600\", alpha=\"0.02\", expect_size=\"9559040\"] \n  4 -> 26 [size =\"9559040\"]\n  4 -> 30 [size =\"9559040\"]\n  4 -> 32 [size =\"9559040\"]\n  5 [size=\"66094080\", alpha=\"0.19\", expect_size=\"26437632\"] \n  5 -> 26 [size =\"26437632\"]\n  5 -> 32 [size =\"26437632\"]\n  5 -> 33 [size =\"26437632\"]\n  6 [size=\"66408960\", alpha=\"0.14\", expect_size=\"26563584\"] \n  6 -> 26 [size =\"26563584\"]\n  6 -> 31 [size =\"26563584\"]\n  6 -> 33 [size =\"26563584\"]\n  6 -> 34 [size =\"26563584\"]\n  7 [size=\"70161920\", alpha=\"0.04\", expect_size=\"28064768\"] \n  8 [size=\"30778880\", alpha=\"0.11\", expect_size=\"12311552\"] \n  8 -> 26 [size =\"12311552\"]\n  8 -> 32 [size =\"12311552\"]\n  9 [size=\"26918400\", alpha=\"0.10\", expect_size=\"10767360\"] \n  9 -> 29 [size =\"10767360\"]\n  9 -> 33 [size =\"10767360\"]\n  10 [size=\"122897920\", alpha=\"0.02\", expect_size=\"49159168\"] \n  10 -> 29 [size =\"49159168\"]\n  11 [size=\"15918080\", alpha=\"0.12\", expect_size=\"6367232\"] \n  11 -> 27 [size =\"6367232\"]\n  11 -> 32 [size =\"6367232\"]\n  12 [size=\"110184960\", alpha=\"0.07\", expect_size=\"44073984\"] \n  12 -> 26 [size =\"44073984\"]\n  13 [size=\"127521280\", alpha=\"0.17\", expect_size=\"51008512\"] \n  13 -> 29 [size =\"51008512\"]\n  13 -> 32 [size =\"51008512\"]\n  14 [size=\"100277760\", alpha=\"0.09\", expect_size=\"40111104\"] \n  14 -> 26 [size =\"40111104\"]\n  14 -> 32 [size =\"40111104\"]\n  14 -> 33 [size =\"40111104\"]\n  15 [size=\"110901760\", alpha=\"0.12\", expect_size=\"44360704\"] \n  15 -> 27 [size =\"44360704\"]\n  15 -> 30 [size =\"44360704\"]\n  15 -> 32 [size =\"44360704\"]\n  16 [size=\"105761280\", alpha=\"0.06\", expect_size=\"42304512\"] \n  16 -> 26 [size =\"42304512\"]\n  16 -> 30 [size =\"42304512\"]\n  17 [size=\"69265920\", alpha=\"0.05\", expect_size=\"27706368\"] \n  17 -> 31 [size =\"27706368\"]\n  17 -> 32 [size =\"27706368\"]\n  17 -> 35 [size =\"27706368\"]\n  18 [size=\"95211520\", alpha=\"0.11\", expect_size=\"38084608\"] \n  18 -> 29 [size =\"38084608\"]\n  18 -> 33 [size =\"38084608\"]\n  18 -> 35 [size =\"38084608\"]\n  19 [size=\"39498240\", alpha=\"0.06\", expect_size=\"15799296\"] \n  19 -> 27 [size =\"15799296\"]\n  19 -> 33 [size =\"15799296\"]\n  20 [size=\"98393600\", alpha=\"0.14\", expect_size=\"39357440\"] \n  20 -> 29 [size =\"39357440\"]\n  20 -> 31 [size =\"39357440\"]\n  21 [size=\"113077760\", alpha=\"0.13\", expect_size=\"45231104\"] \n  21 -> 26 [size =\"45231104\"]\n  21 -> 33 [size =\"45231104\"]\n  22 [size=\"63964160\", alpha=\"0.11\", expect_size=\"25585664\"] \n  22 -> 26 [size =\"25585664\"]\n  22 -> 33 [size =\"25585664\"]\n  23 [size=\"107366400\", alpha=\"0.18\", expect_size=\"42946560\"] \n  23 -> 26 [size =\"42946560\"]\n  23 -> 28 [size =\"42946560\"]\n  23 -> 29 [size =\"42946560\"]\n  23 -> 32 [size =\"42946560\"]\n  23 -> 33 [size =\"42946560\"]\n  24 [size=\"90344960\", alpha=\"0.06\", expect_size=\"36137984\"] \n  24 -> 26 [size =\"36137984\"]\n  24 -> 29 [size =\"36137984\"]\n  24 -> 30 [size =\"36137984\"]\n  24 -> 33 [size =\"36137984\"]\n  25 [size=\"26557440\", alpha=\"0.03\", expect_size=\"10622976\"] \n  25 -> 27 [size =\"10622976\"]\n  25 -> 29 [size =\"10622976\"]\n  25 -> 30 [size =\"10622976\"]\n  26 [size=\"99269120\", alpha=\"0.09\", expect_size=\"39707648\"] \n  27 [size=\"17384960\", alpha=\"0.05\", expect_size=\"6953984\"] \n  28 [size=\"44218880\", alpha=\"0.04\", expect_size=\"17687552\"] \n  29 [size=\"112043520\", alpha=\"0.05\", expect_size=\"44817408\"] \n  30 [size=\"29015040\", alpha=\"0.05\", expect_size=\"11606016\"] \n  31 [size=\"111037440\", alpha=\"0.05\", expect_size=\"44414976\"] \n  32 [size=\"70128640\", alpha=\"0.02\", expect_size=\"28051456\"] \n  33 [size=\"18936320\", alpha=\"0.18\", expect_size=\"7574528\"] \n  34 [size=\"123202560\", alpha=\"0.09\", expect_size=\"49281024\"] \n  35 [size=\"39825920\", alpha=\"0.17\", expect_size=\"15930368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91868160\", alpha=\"0.10\", expect_size=\"36747264\"] \n  1 -> 17 [size =\"36747264\"]\n  1 -> 21 [size =\"36747264\"]\n  2 [size=\"41152000\", alpha=\"0.03\", expect_size=\"16460800\"] \n  2 -> 19 [size =\"16460800\"]\n  2 -> 22 [size =\"16460800\"]\n  3 [size=\"106176000\", alpha=\"0.18\", expect_size=\"42470400\"] \n  3 -> 13 [size =\"42470400\"]\n  3 -> 14 [size =\"42470400\"]\n  3 -> 15 [size =\"42470400\"]\n  3 -> 21 [size =\"42470400\"]\n  3 -> 23 [size =\"42470400\"]\n  4 [size=\"95078400\", alpha=\"0.12\", expect_size=\"38031360\"] \n  4 -> 15 [size =\"38031360\"]\n  4 -> 22 [size =\"38031360\"]\n  4 -> 23 [size =\"38031360\"]\n  5 [size=\"51005440\", alpha=\"0.12\", expect_size=\"20402176\"] \n  5 -> 15 [size =\"20402176\"]\n  5 -> 21 [size =\"20402176\"]\n  5 -> 22 [size =\"20402176\"]\n  6 [size=\"15034880\", alpha=\"0.11\", expect_size=\"6013952\"] \n  6 -> 13 [size =\"6013952\"]\n  6 -> 14 [size =\"6013952\"]\n  6 -> 15 [size =\"6013952\"]\n  6 -> 19 [size =\"6013952\"]\n  6 -> 20 [size =\"6013952\"]\n  6 -> 21 [size =\"6013952\"]\n  6 -> 23 [size =\"6013952\"]\n  7 [size=\"28213760\", alpha=\"0.16\", expect_size=\"11285504\"] \n  7 -> 15 [size =\"11285504\"]\n  7 -> 19 [size =\"11285504\"]\n  7 -> 21 [size =\"11285504\"]\n  7 -> 22 [size =\"11285504\"]\n  7 -> 23 [size =\"11285504\"]\n  8 [size=\"70827520\", alpha=\"0.02\", expect_size=\"28331008\"] \n  8 -> 13 [size =\"28331008\"]\n  8 -> 15 [size =\"28331008\"]\n  8 -> 19 [size =\"28331008\"]\n  8 -> 22 [size =\"28331008\"]\n  8 -> 23 [size =\"28331008\"]\n  9 [size=\"35256320\", alpha=\"0.03\", expect_size=\"14102528\"] \n  9 -> 14 [size =\"14102528\"]\n  9 -> 15 [size =\"14102528\"]\n  9 -> 16 [size =\"14102528\"]\n  9 -> 17 [size =\"14102528\"]\n  9 -> 21 [size =\"14102528\"]\n  9 -> 22 [size =\"14102528\"]\n  9 -> 23 [size =\"14102528\"]\n  10 [size=\"16665600\", alpha=\"0.06\", expect_size=\"6666240\"] \n  10 -> 15 [size =\"6666240\"]\n  10 -> 15 [size =\"6666240\"]\n  10 -> 16 [size =\"6666240\"]\n  10 -> 18 [size =\"6666240\"]\n  10 -> 21 [size =\"6666240\"]\n  10 -> 22 [size =\"6666240\"]\n  10 -> 23 [size =\"6666240\"]\n  11 [size=\"87421440\", alpha=\"0.14\", expect_size=\"34968576\"] \n  11 -> 15 [size =\"34968576\"]\n  11 -> 17 [size =\"34968576\"]\n  11 -> 22 [size =\"34968576\"]\n  12 [size=\"29219840\", alpha=\"0.14\", expect_size=\"11687936\"] \n  12 -> 17 [size =\"11687936\"]\n  12 -> 17 [size =\"11687936\"]\n  12 -> 19 [size =\"11687936\"]\n  12 -> 21 [size =\"11687936\"]\n  12 -> 22 [size =\"11687936\"]\n  13 [size=\"47779840\", alpha=\"0.12\", expect_size=\"19111936\"] \n  13 -> 27 [size =\"19111936\"]\n  13 -> 28 [size =\"19111936\"]\n  13 -> 30 [size =\"19111936\"]\n  13 -> 31 [size =\"19111936\"]\n  13 -> 31 [size =\"19111936\"]\n  13 -> 34 [size =\"19111936\"]\n  14 [size=\"36715520\", alpha=\"0.01\", expect_size=\"14686208\"] \n  14 -> 25 [size =\"14686208\"]\n  14 -> 26 [size =\"14686208\"]\n  14 -> 27 [size =\"14686208\"]\n  14 -> 29 [size =\"14686208\"]\n  14 -> 30 [size =\"14686208\"]\n  14 -> 32 [size =\"14686208\"]\n  14 -> 33 [size =\"14686208\"]\n  14 -> 34 [size =\"14686208\"]\n  15 [size=\"104691200\", alpha=\"0.01\", expect_size=\"41876480\"] \n  15 -> 24 [size =\"41876480\"]\n  15 -> 25 [size =\"41876480\"]\n  15 -> 26 [size =\"41876480\"]\n  15 -> 28 [size =\"41876480\"]\n  15 -> 29 [size =\"41876480\"]\n  15 -> 30 [size =\"41876480\"]\n  15 -> 33 [size =\"41876480\"]\n  16 [size=\"54615040\", alpha=\"0.03\", expect_size=\"21846016\"] \n  16 -> 26 [size =\"21846016\"]\n  16 -> 28 [size =\"21846016\"]\n  16 -> 31 [size =\"21846016\"]\n  16 -> 32 [size =\"21846016\"]\n  17 [size=\"117061120\", alpha=\"0.01\", expect_size=\"46824448\"] \n  17 -> 25 [size =\"46824448\"]\n  17 -> 26 [size =\"46824448\"]\n  17 -> 27 [size =\"46824448\"]\n  17 -> 29 [size =\"46824448\"]\n  17 -> 31 [size =\"46824448\"]\n  17 -> 34 [size =\"46824448\"]\n  18 [size=\"94120960\", alpha=\"0.02\", expect_size=\"37648384\"] \n  18 -> 25 [size =\"37648384\"]\n  18 -> 26 [size =\"37648384\"]\n  18 -> 27 [size =\"37648384\"]\n  18 -> 28 [size =\"37648384\"]\n  18 -> 29 [size =\"37648384\"]\n  18 -> 31 [size =\"37648384\"]\n  18 -> 34 [size =\"37648384\"]\n  19 [size=\"107153920\", alpha=\"0.03\", expect_size=\"42861568\"] \n  19 -> 25 [size =\"42861568\"]\n  19 -> 26 [size =\"42861568\"]\n  19 -> 27 [size =\"42861568\"]\n  19 -> 30 [size =\"42861568\"]\n  19 -> 31 [size =\"42861568\"]\n  19 -> 32 [size =\"42861568\"]\n  19 -> 34 [size =\"42861568\"]\n  20 [size=\"122344960\", alpha=\"0.12\", expect_size=\"48937984\"] \n  20 -> 25 [size =\"48937984\"]\n  20 -> 26 [size =\"48937984\"]\n  20 -> 27 [size =\"48937984\"]\n  20 -> 29 [size =\"48937984\"]\n  20 -> 32 [size =\"48937984\"]\n  20 -> 34 [size =\"48937984\"]\n  20 -> 34 [size =\"48937984\"]\n  21 [size=\"38819840\", alpha=\"0.15\", expect_size=\"15527936\"] \n  21 -> 25 [size =\"15527936\"]\n  21 -> 26 [size =\"15527936\"]\n  21 -> 27 [size =\"15527936\"]\n  21 -> 30 [size =\"15527936\"]\n  21 -> 34 [size =\"15527936\"]\n  22 [size=\"119907840\", alpha=\"0.03\", expect_size=\"47963136\"] \n  22 -> 26 [size =\"47963136\"]\n  22 -> 27 [size =\"47963136\"]\n  22 -> 27 [size =\"47963136\"]\n  22 -> 31 [size =\"47963136\"]\n  22 -> 33 [size =\"47963136\"]\n  23 [size=\"84782080\", alpha=\"0.06\", expect_size=\"33912832\"] \n  23 -> 24 [size =\"33912832\"]\n  23 -> 28 [size =\"33912832\"]\n  23 -> 29 [size =\"33912832\"]\n  23 -> 30 [size =\"33912832\"]\n  23 -> 31 [size =\"33912832\"]\n  23 -> 32 [size =\"33912832\"]\n  24 [size=\"39503360\", alpha=\"0.04\", expect_size=\"15801344\"] \n  25 [size=\"45063680\", alpha=\"0.07\", expect_size=\"18025472\"] \n  26 [size=\"48128000\", alpha=\"0.11\", expect_size=\"19251200\"] \n  27 [size=\"66152960\", alpha=\"0.18\", expect_size=\"26461184\"] \n  28 [size=\"71260160\", alpha=\"0.14\", expect_size=\"28504064\"] \n  29 [size=\"80517120\", alpha=\"0.15\", expect_size=\"32206848\"] \n  30 [size=\"96514560\", alpha=\"0.15\", expect_size=\"38605824\"] \n  31 [size=\"50787840\", alpha=\"0.09\", expect_size=\"20315136\"] \n  32 [size=\"22097920\", alpha=\"0.05\", expect_size=\"8839168\"] \n  32 -> 35 [size =\"8839168\"]\n  33 [size=\"38489600\", alpha=\"0.07\", expect_size=\"15395840\"] \n  33 -> 35 [size =\"15395840\"]\n  34 [size=\"75072000\", alpha=\"0.13\", expect_size=\"30028800\"] \n  35 [size=\"95851520\", alpha=\"0.14\", expect_size=\"38340608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81991680\", alpha=\"0.19\", expect_size=\"40995840\"] \n  1 -> 3 [size =\"40995840\"]\n  1 -> 4 [size =\"40995840\"]\n  2 [size=\"57081856\", alpha=\"0.04\", expect_size=\"28540928\"] \n  2 -> 4 [size =\"28540928\"]\n  3 [size=\"43737088\", alpha=\"0.19\", expect_size=\"21868544\"] \n  3 -> 5 [size =\"21868544\"]\n  4 [size=\"21811200\", alpha=\"0.19\", expect_size=\"10905600\"] \n  4 -> 5 [size =\"10905600\"]\n  4 -> 6 [size =\"10905600\"]\n  5 [size=\"100732928\", alpha=\"0.16\", expect_size=\"50366464\"] \n  5 -> 7 [size =\"50366464\"]\n  6 [size=\"65343488\", alpha=\"0.02\", expect_size=\"32671744\"] \n  6 -> 7 [size =\"32671744\"]\n  7 [size=\"87701504\", alpha=\"0.08\", expect_size=\"43850752\"] \n  7 -> 8 [size =\"43850752\"]\n  8 [size=\"32333824\", alpha=\"0.11\", expect_size=\"16166912\"] \n  8 -> 9 [size =\"16166912\"]\n  8 -> 10 [size =\"16166912\"]\n  9 [size=\"32946176\", alpha=\"0.08\", expect_size=\"16473088\"] \n  9 -> 11 [size =\"16473088\"]\n  9 -> 12 [size =\"16473088\"]\n  10 [size=\"58476544\", alpha=\"0.09\", expect_size=\"29238272\"] \n  11 [size=\"70885376\", alpha=\"0.17\", expect_size=\"35442688\"] \n  11 -> 14 [size =\"35442688\"]\n  12 [size=\"66459648\", alpha=\"0.05\", expect_size=\"33229824\"] \n  12 -> 13 [size =\"33229824\"]\n  12 -> 14 [size =\"33229824\"]\n  13 [size=\"83701760\", alpha=\"0.03\", expect_size=\"41850880\"] \n  13 -> 15 [size =\"41850880\"]\n  13 -> 16 [size =\"41850880\"]\n  14 [size=\"76871680\", alpha=\"0.06\", expect_size=\"38435840\"] \n  14 -> 15 [size =\"38435840\"]\n  14 -> 16 [size =\"38435840\"]\n  15 [size=\"73306112\", alpha=\"0.04\", expect_size=\"36653056\"] \n  16 [size=\"53334016\", alpha=\"0.08\", expect_size=\"26667008\"] \n  16 -> 17 [size =\"26667008\"]\n  17 [size=\"62210048\", alpha=\"0.06\", expect_size=\"31105024\"] \n  17 -> 18 [size =\"31105024\"]\n  18 [size=\"98971648\", alpha=\"0.04\", expect_size=\"49485824\"] \n  18 -> 19 [size =\"49485824\"]\n  19 [size=\"58406912\", alpha=\"0.11\", expect_size=\"29203456\"] \n  19 -> 20 [size =\"29203456\"]\n  19 -> 21 [size =\"29203456\"]\n  20 [size=\"96647168\", alpha=\"0.11\", expect_size=\"48323584\"] \n  20 -> 22 [size =\"48323584\"]\n  21 [size=\"43094016\", alpha=\"0.06\", expect_size=\"21547008\"] \n  21 -> 22 [size =\"21547008\"]\n  22 [size=\"31051776\", alpha=\"0.11\", expect_size=\"15525888\"] \n  22 -> 23 [size =\"15525888\"]\n  23 [size=\"53241856\", alpha=\"0.02\", expect_size=\"26620928\"] \n  23 -> 24 [size =\"26620928\"]\n  23 -> 25 [size =\"26620928\"]\n  24 [size=\"67829760\", alpha=\"0.17\", expect_size=\"33914880\"] \n  24 -> 26 [size =\"33914880\"]\n  25 [size=\"97187840\", alpha=\"0.10\", expect_size=\"48593920\"] \n  25 -> 26 [size =\"48593920\"]\n  26 [size=\"21016576\", alpha=\"0.15\", expect_size=\"10508288\"] \n  26 -> 27 [size =\"10508288\"]\n  27 [size=\"58517504\", alpha=\"0.16\", expect_size=\"29258752\"] \n  27 -> 28 [size =\"29258752\"]\n  28 [size=\"87412736\", alpha=\"0.02\", expect_size=\"43706368\"] \n  28 -> 29 [size =\"43706368\"]\n  28 -> 30 [size =\"43706368\"]\n  29 [size=\"12421120\", alpha=\"0.13\", expect_size=\"6210560\"] \n  30 [size=\"65341440\", alpha=\"0.14\", expect_size=\"32670720\"] \n  30 -> 31 [size =\"32670720\"]\n  31 [size=\"22648832\", alpha=\"0.08\", expect_size=\"11324416\"] \n  31 -> 32 [size =\"11324416\"]\n  31 -> 33 [size =\"11324416\"]\n  32 [size=\"50225152\", alpha=\"0.13\", expect_size=\"25112576\"] \n  32 -> 34 [size =\"25112576\"]\n  33 [size=\"100294656\", alpha=\"0.14\", expect_size=\"50147328\"] \n  33 -> 34 [size =\"50147328\"]\n  34 [size=\"17369088\", alpha=\"0.09\", expect_size=\"8684544\"] \n  34 -> 35 [size =\"8684544\"]\n  35 [size=\"95887360\", alpha=\"0.18\", expect_size=\"47943680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80214016\", alpha=\"0.17\", expect_size=\"40107008\"] \n  1 -> 6 [size =\"40107008\"]\n  1 -> 8 [size =\"40107008\"]\n  1 -> 9 [size =\"40107008\"]\n  2 [size=\"63703040\", alpha=\"0.08\", expect_size=\"31851520\"] \n  2 -> 6 [size =\"31851520\"]\n  2 -> 8 [size =\"31851520\"]\n  2 -> 9 [size =\"31851520\"]\n  3 [size=\"95426560\", alpha=\"0.11\", expect_size=\"47713280\"] \n  3 -> 6 [size =\"47713280\"]\n  3 -> 8 [size =\"47713280\"]\n  3 -> 9 [size =\"47713280\"]\n  4 [size=\"14161920\", alpha=\"0.13\", expect_size=\"7080960\"] \n  4 -> 7 [size =\"7080960\"]\n  4 -> 8 [size =\"7080960\"]\n  5 [size=\"50085888\", alpha=\"0.09\", expect_size=\"25042944\"] \n  5 -> 7 [size =\"25042944\"]\n  5 -> 8 [size =\"25042944\"]\n  6 [size=\"46215168\", alpha=\"0.18\", expect_size=\"23107584\"] \n  6 -> 11 [size =\"23107584\"]\n  6 -> 11 [size =\"23107584\"]\n  6 -> 12 [size =\"23107584\"]\n  6 -> 14 [size =\"23107584\"]\n  7 [size=\"46170112\", alpha=\"0.11\", expect_size=\"23085056\"] \n  7 -> 12 [size =\"23085056\"]\n  7 -> 14 [size =\"23085056\"]\n  8 [size=\"87547904\", alpha=\"0.07\", expect_size=\"43773952\"] \n  8 -> 10 [size =\"43773952\"]\n  8 -> 11 [size =\"43773952\"]\n  8 -> 13 [size =\"43773952\"]\n  8 -> 14 [size =\"43773952\"]\n  9 [size=\"94343168\", alpha=\"0.14\", expect_size=\"47171584\"] \n  9 -> 10 [size =\"47171584\"]\n  9 -> 11 [size =\"47171584\"]\n  9 -> 13 [size =\"47171584\"]\n  9 -> 14 [size =\"47171584\"]\n  10 [size=\"85266432\", alpha=\"0.03\", expect_size=\"42633216\"] \n  10 -> 18 [size =\"42633216\"]\n  11 [size=\"77502464\", alpha=\"0.03\", expect_size=\"38751232\"] \n  11 -> 17 [size =\"38751232\"]\n  12 [size=\"61140992\", alpha=\"0.13\", expect_size=\"30570496\"] \n  13 [size=\"99047424\", alpha=\"0.12\", expect_size=\"49523712\"] \n  13 -> 16 [size =\"49523712\"]\n  14 [size=\"56326144\", alpha=\"0.19\", expect_size=\"28163072\"] \n  14 -> 15 [size =\"28163072\"]\n  14 -> 16 [size =\"28163072\"]\n  14 -> 17 [size =\"28163072\"]\n  14 -> 18 [size =\"28163072\"]\n  15 [size=\"24549376\", alpha=\"0.14\", expect_size=\"12274688\"] \n  15 -> 19 [size =\"12274688\"]\n  15 -> 21 [size =\"12274688\"]\n  15 -> 22 [size =\"12274688\"]\n  16 [size=\"65970176\", alpha=\"0.18\", expect_size=\"32985088\"] \n  16 -> 20 [size =\"32985088\"]\n  16 -> 23 [size =\"32985088\"]\n  17 [size=\"57112576\", alpha=\"0.06\", expect_size=\"28556288\"] \n  17 -> 19 [size =\"28556288\"]\n  17 -> 20 [size =\"28556288\"]\n  17 -> 23 [size =\"28556288\"]\n  18 [size=\"15364096\", alpha=\"0.08\", expect_size=\"7682048\"] \n  18 -> 20 [size =\"7682048\"]\n  18 -> 22 [size =\"7682048\"]\n  18 -> 23 [size =\"7682048\"]\n  19 [size=\"46850048\", alpha=\"0.08\", expect_size=\"23425024\"] \n  19 -> 26 [size =\"23425024\"]\n  20 [size=\"19875840\", alpha=\"0.03\", expect_size=\"9937920\"] \n  20 -> 24 [size =\"9937920\"]\n  20 -> 25 [size =\"9937920\"]\n  20 -> 26 [size =\"9937920\"]\n  21 [size=\"35479552\", alpha=\"0.13\", expect_size=\"17739776\"] \n  21 -> 24 [size =\"17739776\"]\n  21 -> 25 [size =\"17739776\"]\n  21 -> 26 [size =\"17739776\"]\n  21 -> 27 [size =\"17739776\"]\n  21 -> 28 [size =\"17739776\"]\n  22 [size=\"50782208\", alpha=\"0.14\", expect_size=\"25391104\"] \n  22 -> 24 [size =\"25391104\"]\n  22 -> 27 [size =\"25391104\"]\n  22 -> 28 [size =\"25391104\"]\n  23 [size=\"20088832\", alpha=\"0.13\", expect_size=\"10044416\"] \n  23 -> 24 [size =\"10044416\"]\n  23 -> 26 [size =\"10044416\"]\n  23 -> 28 [size =\"10044416\"]\n  24 [size=\"75884544\", alpha=\"0.13\", expect_size=\"37942272\"] \n  24 -> 29 [size =\"37942272\"]\n  24 -> 32 [size =\"37942272\"]\n  25 [size=\"70416384\", alpha=\"0.02\", expect_size=\"35208192\"] \n  25 -> 31 [size =\"35208192\"]\n  25 -> 32 [size =\"35208192\"]\n  26 [size=\"41324544\", alpha=\"0.17\", expect_size=\"20662272\"] \n  26 -> 29 [size =\"20662272\"]\n  26 -> 30 [size =\"20662272\"]\n  26 -> 32 [size =\"20662272\"]\n  27 [size=\"33787904\", alpha=\"0.01\", expect_size=\"16893952\"] \n  27 -> 29 [size =\"16893952\"]\n  27 -> 31 [size =\"16893952\"]\n  28 [size=\"63827968\", alpha=\"0.01\", expect_size=\"31913984\"] \n  28 -> 29 [size =\"31913984\"]\n  28 -> 31 [size =\"31913984\"]\n  28 -> 32 [size =\"31913984\"]\n  29 [size=\"103303168\", alpha=\"0.18\", expect_size=\"51651584\"] \n  29 -> 33 [size =\"51651584\"]\n  30 [size=\"46075904\", alpha=\"0.12\", expect_size=\"23037952\"] \n  30 -> 35 [size =\"23037952\"]\n  31 [size=\"60174336\", alpha=\"0.19\", expect_size=\"30087168\"] \n  31 -> 35 [size =\"30087168\"]\n  32 [size=\"26587136\", alpha=\"0.18\", expect_size=\"13293568\"] \n  32 -> 34 [size =\"13293568\"]\n  33 [size=\"92903424\", alpha=\"0.15\", expect_size=\"46451712\"] \n  34 [size=\"60952576\", alpha=\"0.02\", expect_size=\"30476288\"] \n  35 [size=\"28780544\", alpha=\"0.12\", expect_size=\"14390272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42401792\", alpha=\"0.13\", expect_size=\"21200896\"] \n  1 -> 2 [size =\"21200896\"]\n  1 -> 3 [size =\"21200896\"]\n  2 [size=\"91346944\", alpha=\"0.15\", expect_size=\"45673472\"] \n  3 [size=\"79628288\", alpha=\"0.06\", expect_size=\"39814144\"] \n  3 -> 4 [size =\"39814144\"]\n  3 -> 5 [size =\"39814144\"]\n  4 [size=\"31508480\", alpha=\"0.06\", expect_size=\"15754240\"] \n  4 -> 6 [size =\"15754240\"]\n  5 [size=\"33146880\", alpha=\"0.00\", expect_size=\"16573440\"] \n  5 -> 6 [size =\"16573440\"]\n  6 [size=\"96284672\", alpha=\"0.17\", expect_size=\"48142336\"] \n  6 -> 7 [size =\"48142336\"]\n  6 -> 8 [size =\"48142336\"]\n  7 [size=\"64282624\", alpha=\"0.05\", expect_size=\"32141312\"] \n  7 -> 9 [size =\"32141312\"]\n  7 -> 10 [size =\"32141312\"]\n  8 [size=\"46237696\", alpha=\"0.12\", expect_size=\"23118848\"] \n  9 [size=\"29988864\", alpha=\"0.03\", expect_size=\"14994432\"] \n  9 -> 11 [size =\"14994432\"]\n  9 -> 12 [size =\"14994432\"]\n  10 [size=\"51478528\", alpha=\"0.05\", expect_size=\"25739264\"] \n  10 -> 11 [size =\"25739264\"]\n  10 -> 12 [size =\"25739264\"]\n  11 [size=\"37001216\", alpha=\"0.07\", expect_size=\"18500608\"] \n  12 [size=\"100579328\", alpha=\"0.02\", expect_size=\"50289664\"] \n  12 -> 13 [size =\"50289664\"]\n  13 [size=\"79114240\", alpha=\"0.01\", expect_size=\"39557120\"] \n  13 -> 14 [size =\"39557120\"]\n  13 -> 15 [size =\"39557120\"]\n  14 [size=\"14198784\", alpha=\"0.18\", expect_size=\"7099392\"] \n  14 -> 17 [size =\"7099392\"]\n  15 [size=\"41461760\", alpha=\"0.10\", expect_size=\"20730880\"] \n  15 -> 16 [size =\"20730880\"]\n  16 [size=\"42092544\", alpha=\"0.02\", expect_size=\"21046272\"] \n  16 -> 18 [size =\"21046272\"]\n  16 -> 19 [size =\"21046272\"]\n  17 [size=\"28078080\", alpha=\"0.11\", expect_size=\"14039040\"] \n  18 [size=\"50112512\", alpha=\"0.10\", expect_size=\"25056256\"] \n  19 [size=\"13334528\", alpha=\"0.17\", expect_size=\"6667264\"] \n  19 -> 20 [size =\"6667264\"]\n  20 [size=\"29413376\", alpha=\"0.04\", expect_size=\"14706688\"] \n  20 -> 21 [size =\"14706688\"]\n  20 -> 22 [size =\"14706688\"]\n  21 [size=\"50780160\", alpha=\"0.17\", expect_size=\"25390080\"] \n  21 -> 24 [size =\"25390080\"]\n  22 [size=\"82661376\", alpha=\"0.08\", expect_size=\"41330688\"] \n  22 -> 23 [size =\"41330688\"]\n  22 -> 24 [size =\"41330688\"]\n  23 [size=\"94445568\", alpha=\"0.13\", expect_size=\"47222784\"] \n  23 -> 25 [size =\"47222784\"]\n  24 [size=\"99831808\", alpha=\"0.03\", expect_size=\"49915904\"] \n  24 -> 25 [size =\"49915904\"]\n  25 [size=\"89055232\", alpha=\"0.17\", expect_size=\"44527616\"] \n  25 -> 26 [size =\"44527616\"]\n  25 -> 27 [size =\"44527616\"]\n  26 [size=\"40407040\", alpha=\"0.10\", expect_size=\"20203520\"] \n  27 [size=\"48779264\", alpha=\"0.14\", expect_size=\"24389632\"] \n  27 -> 28 [size =\"24389632\"]\n  28 [size=\"99340288\", alpha=\"0.06\", expect_size=\"49670144\"] \n  28 -> 29 [size =\"49670144\"]\n  28 -> 30 [size =\"49670144\"]\n  29 [size=\"50706432\", alpha=\"0.02\", expect_size=\"25353216\"] \n  29 -> 31 [size =\"25353216\"]\n  30 [size=\"35606528\", alpha=\"0.06\", expect_size=\"17803264\"] \n  31 [size=\"52332544\", alpha=\"0.16\", expect_size=\"26166272\"] \n  31 -> 32 [size =\"26166272\"]\n  31 -> 33 [size =\"26166272\"]\n  32 [size=\"38430720\", alpha=\"0.06\", expect_size=\"19215360\"] \n  33 [size=\"74760192\", alpha=\"0.10\", expect_size=\"37380096\"] \n  33 -> 34 [size =\"37380096\"]\n  34 [size=\"41719808\", alpha=\"0.14\", expect_size=\"20859904\"] \n  34 -> 35 [size =\"20859904\"]\n  35 [size=\"54708224\", alpha=\"0.05\", expect_size=\"27354112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122880000\", alpha=\"0.00\", expect_size=\"49152000\"] \n  1 -> 2 [size =\"49152000\"]\n  1 -> 3 [size =\"49152000\"]\n  2 [size=\"45678080\", alpha=\"0.08\", expect_size=\"18271232\"] \n  3 [size=\"121566720\", alpha=\"0.09\", expect_size=\"48626688\"] \n  3 -> 4 [size =\"48626688\"]\n  3 -> 5 [size =\"48626688\"]\n  4 [size=\"38955520\", alpha=\"0.03\", expect_size=\"15582208\"] \n  5 [size=\"100011520\", alpha=\"0.03\", expect_size=\"40004608\"] \n  5 -> 6 [size =\"40004608\"]\n  5 -> 7 [size =\"40004608\"]\n  6 [size=\"89932800\", alpha=\"0.02\", expect_size=\"35973120\"] \n  6 -> 8 [size =\"35973120\"]\n  6 -> 9 [size =\"35973120\"]\n  7 [size=\"95275520\", alpha=\"0.17\", expect_size=\"38110208\"] \n  7 -> 9 [size =\"38110208\"]\n  8 [size=\"28331520\", alpha=\"0.10\", expect_size=\"11332608\"] \n  8 -> 11 [size =\"11332608\"]\n  9 [size=\"83665920\", alpha=\"0.00\", expect_size=\"33466368\"] \n  9 -> 10 [size =\"33466368\"]\n  9 -> 11 [size =\"33466368\"]\n  10 [size=\"127636480\", alpha=\"0.02\", expect_size=\"51054592\"] \n  10 -> 12 [size =\"51054592\"]\n  10 -> 13 [size =\"51054592\"]\n  11 [size=\"95377920\", alpha=\"0.06\", expect_size=\"38151168\"] \n  12 [size=\"97459200\", alpha=\"0.13\", expect_size=\"38983680\"] \n  13 [size=\"27479040\", alpha=\"0.09\", expect_size=\"10991616\"] \n  13 -> 14 [size =\"10991616\"]\n  14 [size=\"80601600\", alpha=\"0.14\", expect_size=\"32240640\"] \n  14 -> 15 [size =\"32240640\"]\n  14 -> 16 [size =\"32240640\"]\n  15 [size=\"99804160\", alpha=\"0.17\", expect_size=\"39921664\"] \n  16 [size=\"114762240\", alpha=\"0.08\", expect_size=\"45904896\"] \n  16 -> 17 [size =\"45904896\"]\n  17 [size=\"126394880\", alpha=\"0.05\", expect_size=\"50557952\"] \n  17 -> 18 [size =\"50557952\"]\n  18 [size=\"107033600\", alpha=\"0.01\", expect_size=\"42813440\"] \n  18 -> 19 [size =\"42813440\"]\n  18 -> 20 [size =\"42813440\"]\n  19 [size=\"49187840\", alpha=\"0.07\", expect_size=\"19675136\"] \n  19 -> 21 [size =\"19675136\"]\n  20 [size=\"51084800\", alpha=\"0.11\", expect_size=\"20433920\"] \n  21 [size=\"61181440\", alpha=\"0.13\", expect_size=\"24472576\"] \n  21 -> 22 [size =\"24472576\"]\n  21 -> 23 [size =\"24472576\"]\n  22 [size=\"93701120\", alpha=\"0.00\", expect_size=\"37480448\"] \n  22 -> 24 [size =\"37480448\"]\n  23 [size=\"54917120\", alpha=\"0.06\", expect_size=\"21966848\"] \n  23 -> 25 [size =\"21966848\"]\n  24 [size=\"106949120\", alpha=\"0.17\", expect_size=\"42779648\"] \n  25 [size=\"72908800\", alpha=\"0.02\", expect_size=\"29163520\"] \n  25 -> 26 [size =\"29163520\"]\n  26 [size=\"57830400\", alpha=\"0.20\", expect_size=\"23132160\"] \n  26 -> 27 [size =\"23132160\"]\n  26 -> 28 [size =\"23132160\"]\n  27 [size=\"105781760\", alpha=\"0.12\", expect_size=\"42312704\"] \n  27 -> 29 [size =\"42312704\"]\n  27 -> 30 [size =\"42312704\"]\n  28 [size=\"18618880\", alpha=\"0.06\", expect_size=\"7447552\"] \n  29 [size=\"23493120\", alpha=\"0.13\", expect_size=\"9397248\"] \n  29 -> 31 [size =\"9397248\"]\n  30 [size=\"66629120\", alpha=\"0.19\", expect_size=\"26651648\"] \n  30 -> 31 [size =\"26651648\"]\n  31 [size=\"129914880\", alpha=\"0.19\", expect_size=\"51965952\"] \n  31 -> 32 [size =\"51965952\"]\n  31 -> 33 [size =\"51965952\"]\n  32 [size=\"87193600\", alpha=\"0.13\", expect_size=\"34877440\"] \n  33 [size=\"89006080\", alpha=\"0.10\", expect_size=\"35602432\"] \n  33 -> 34 [size =\"35602432\"]\n  34 [size=\"125847040\", alpha=\"0.18\", expect_size=\"50338816\"] \n  34 -> 35 [size =\"50338816\"]\n  35 [size=\"105602560\", alpha=\"0.01\", expect_size=\"42241024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94054400\", alpha=\"0.05\", expect_size=\"28216320\"] \n  1 -> 2 [size =\"28216320\"]\n  2 [size=\"32262827\", alpha=\"0.12\", expect_size=\"9678848\"] \n  2 -> 3 [size =\"9678848\"]\n  3 [size=\"91306667\", alpha=\"0.14\", expect_size=\"27392000\"] \n  3 -> 4 [size =\"27392000\"]\n  4 [size=\"31778133\", alpha=\"0.10\", expect_size=\"9533440\"] \n  4 -> 5 [size =\"9533440\"]\n  5 [size=\"77189120\", alpha=\"0.12\", expect_size=\"23156736\"] \n  5 -> 6 [size =\"23156736\"]\n  6 [size=\"128819200\", alpha=\"0.02\", expect_size=\"38645760\"] \n  6 -> 7 [size =\"38645760\"]\n  7 [size=\"92777813\", alpha=\"0.15\", expect_size=\"27833344\"] \n  7 -> 8 [size =\"27833344\"]\n  8 [size=\"68823040\", alpha=\"0.10\", expect_size=\"20646912\"] \n  8 -> 9 [size =\"20646912\"]\n  9 [size=\"61952000\", alpha=\"0.12\", expect_size=\"18585600\"] \n  9 -> 10 [size =\"18585600\"]\n  10 [size=\"88821760\", alpha=\"0.05\", expect_size=\"26646528\"] \n  10 -> 11 [size =\"26646528\"]\n  11 [size=\"141933227\", alpha=\"0.13\", expect_size=\"42579968\"] \n  11 -> 12 [size =\"42579968\"]\n  12 [size=\"22401707\", alpha=\"0.19\", expect_size=\"6720512\"] \n  12 -> 13 [size =\"6720512\"]\n  13 [size=\"114254507\", alpha=\"0.00\", expect_size=\"34276352\"] \n  13 -> 14 [size =\"34276352\"]\n  14 [size=\"68969813\", alpha=\"0.09\", expect_size=\"20690944\"] \n  14 -> 15 [size =\"20690944\"]\n  15 [size=\"144384000\", alpha=\"0.10\", expect_size=\"43315200\"] \n  15 -> 16 [size =\"43315200\"]\n  16 [size=\"84353707\", alpha=\"0.06\", expect_size=\"25306112\"] \n  16 -> 17 [size =\"25306112\"]\n  17 [size=\"100621653\", alpha=\"0.09\", expect_size=\"30186496\"] \n  17 -> 18 [size =\"30186496\"]\n  18 [size=\"64866987\", alpha=\"0.08\", expect_size=\"19460096\"] \n  18 -> 19 [size =\"19460096\"]\n  19 [size=\"140390400\", alpha=\"0.18\", expect_size=\"42117120\"] \n  19 -> 20 [size =\"42117120\"]\n  20 [size=\"73912320\", alpha=\"0.05\", expect_size=\"22173696\"] \n  20 -> 21 [size =\"22173696\"]\n  21 [size=\"115947520\", alpha=\"0.02\", expect_size=\"34784256\"] \n  21 -> 22 [size =\"34784256\"]\n  22 [size=\"57651200\", alpha=\"0.01\", expect_size=\"17295360\"] \n  22 -> 23 [size =\"17295360\"]\n  23 [size=\"51739307\", alpha=\"0.10\", expect_size=\"15521792\"] \n  23 -> 24 [size =\"15521792\"]\n  24 [size=\"54749867\", alpha=\"0.20\", expect_size=\"16424960\"] \n  24 -> 25 [size =\"16424960\"]\n  25 [size=\"126651733\", alpha=\"0.17\", expect_size=\"37995520\"] \n  25 -> 26 [size =\"37995520\"]\n  26 [size=\"49390933\", alpha=\"0.09\", expect_size=\"14817280\"] \n  26 -> 27 [size =\"14817280\"]\n  27 [size=\"95122773\", alpha=\"0.11\", expect_size=\"28536832\"] \n  27 -> 28 [size =\"28536832\"]\n  28 [size=\"167656107\", alpha=\"0.19\", expect_size=\"50296832\"] \n  28 -> 29 [size =\"50296832\"]\n  29 [size=\"69990400\", alpha=\"0.12\", expect_size=\"20997120\"] \n  29 -> 30 [size =\"20997120\"]\n  30 [size=\"55029760\", alpha=\"0.15\", expect_size=\"16508928\"] \n  30 -> 31 [size =\"16508928\"]\n  31 [size=\"97460907\", alpha=\"0.14\", expect_size=\"29238272\"] \n  31 -> 32 [size =\"29238272\"]\n  32 [size=\"116578987\", alpha=\"0.13\", expect_size=\"34973696\"] \n  32 -> 33 [size =\"34973696\"]\n  33 [size=\"127170560\", alpha=\"0.04\", expect_size=\"38151168\"] \n  33 -> 34 [size =\"38151168\"]\n  34 [size=\"45776213\", alpha=\"0.02\", expect_size=\"13732864\"] \n  34 -> 35 [size =\"13732864\"]\n  35 [size=\"43991040\", alpha=\"0.16\", expect_size=\"13197312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25487360\", alpha=\"0.13\", expect_size=\"10194944\"] \n  1 -> 2 [size =\"10194944\"]\n  1 -> 3 [size =\"10194944\"]\n  2 [size=\"21414400\", alpha=\"0.04\", expect_size=\"8565760\"] \n  3 [size=\"106969600\", alpha=\"0.15\", expect_size=\"42787840\"] \n  3 -> 4 [size =\"42787840\"]\n  3 -> 5 [size =\"42787840\"]\n  4 [size=\"70574080\", alpha=\"0.15\", expect_size=\"28229632\"] \n  5 [size=\"24092160\", alpha=\"0.19\", expect_size=\"9636864\"] \n  5 -> 6 [size =\"9636864\"]\n  6 [size=\"32652800\", alpha=\"0.17\", expect_size=\"13061120\"] \n  6 -> 7 [size =\"13061120\"]\n  7 [size=\"36945920\", alpha=\"0.01\", expect_size=\"14778368\"] \n  7 -> 8 [size =\"14778368\"]\n  7 -> 9 [size =\"14778368\"]\n  8 [size=\"19386880\", alpha=\"0.14\", expect_size=\"7754752\"] \n  8 -> 10 [size =\"7754752\"]\n  9 [size=\"93291520\", alpha=\"0.06\", expect_size=\"37316608\"] \n  10 [size=\"17346560\", alpha=\"0.10\", expect_size=\"6938624\"] \n  10 -> 11 [size =\"6938624\"]\n  11 [size=\"89113600\", alpha=\"0.15\", expect_size=\"35645440\"] \n  11 -> 12 [size =\"35645440\"]\n  12 [size=\"46691840\", alpha=\"0.17\", expect_size=\"18676736\"] \n  12 -> 13 [size =\"18676736\"]\n  13 [size=\"70750720\", alpha=\"0.08\", expect_size=\"28300288\"] \n  13 -> 14 [size =\"28300288\"]\n  13 -> 15 [size =\"28300288\"]\n  14 [size=\"41863680\", alpha=\"0.05\", expect_size=\"16745472\"] \n  15 [size=\"14003200\", alpha=\"0.04\", expect_size=\"5601280\"] \n  15 -> 16 [size =\"5601280\"]\n  16 [size=\"126356480\", alpha=\"0.03\", expect_size=\"50542592\"] \n  16 -> 17 [size =\"50542592\"]\n  17 [size=\"107072000\", alpha=\"0.11\", expect_size=\"42828800\"] \n  17 -> 18 [size =\"42828800\"]\n  18 [size=\"112903680\", alpha=\"0.12\", expect_size=\"45161472\"] \n  18 -> 19 [size =\"45161472\"]\n  18 -> 20 [size =\"45161472\"]\n  19 [size=\"75968000\", alpha=\"0.03\", expect_size=\"30387200\"] \n  20 [size=\"113907200\", alpha=\"0.06\", expect_size=\"45562880\"] \n  20 -> 21 [size =\"45562880\"]\n  20 -> 22 [size =\"45562880\"]\n  21 [size=\"52277760\", alpha=\"0.10\", expect_size=\"20911104\"] \n  21 -> 24 [size =\"20911104\"]\n  22 [size=\"23897600\", alpha=\"0.16\", expect_size=\"9559040\"] \n  22 -> 23 [size =\"9559040\"]\n  23 [size=\"126717440\", alpha=\"0.18\", expect_size=\"50686976\"] \n  23 -> 26 [size =\"50686976\"]\n  24 [size=\"57044480\", alpha=\"0.10\", expect_size=\"22817792\"] \n  24 -> 25 [size =\"22817792\"]\n  25 [size=\"86225920\", alpha=\"0.04\", expect_size=\"34490368\"] \n  25 -> 27 [size =\"34490368\"]\n  25 -> 28 [size =\"34490368\"]\n  26 [size=\"110005760\", alpha=\"0.01\", expect_size=\"44002304\"] \n  27 [size=\"128806400\", alpha=\"0.02\", expect_size=\"51522560\"] \n  28 [size=\"74096640\", alpha=\"0.04\", expect_size=\"29638656\"] \n  28 -> 29 [size =\"29638656\"]\n  28 -> 30 [size =\"29638656\"]\n  29 [size=\"25236480\", alpha=\"0.20\", expect_size=\"10094592\"] \n  29 -> 31 [size =\"10094592\"]\n  30 [size=\"42237440\", alpha=\"0.16\", expect_size=\"16894976\"] \n  31 [size=\"74831360\", alpha=\"0.05\", expect_size=\"29932544\"] \n  31 -> 32 [size =\"29932544\"]\n  31 -> 33 [size =\"29932544\"]\n  32 [size=\"17433600\", alpha=\"0.00\", expect_size=\"6973440\"] \n  33 [size=\"114280960\", alpha=\"0.05\", expect_size=\"45712384\"] \n  33 -> 34 [size =\"45712384\"]\n  34 [size=\"105341440\", alpha=\"0.15\", expect_size=\"42136576\"] \n  34 -> 35 [size =\"42136576\"]\n  35 [size=\"48087040\", alpha=\"0.05\", expect_size=\"19234816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27416576\", alpha=\"0.17\", expect_size=\"13708288\"] \n  1 -> 5 [size =\"13708288\"]\n  1 -> 6 [size =\"13708288\"]\n  1 -> 7 [size =\"13708288\"]\n  2 [size=\"32131072\", alpha=\"0.17\", expect_size=\"16065536\"] \n  2 -> 5 [size =\"16065536\"]\n  2 -> 7 [size =\"16065536\"]\n  3 [size=\"20021248\", alpha=\"0.03\", expect_size=\"10010624\"] \n  3 -> 5 [size =\"10010624\"]\n  3 -> 6 [size =\"10010624\"]\n  3 -> 7 [size =\"10010624\"]\n  3 -> 8 [size =\"10010624\"]\n  4 [size=\"48795648\", alpha=\"0.10\", expect_size=\"24397824\"] \n  4 -> 6 [size =\"24397824\"]\n  4 -> 8 [size =\"24397824\"]\n  5 [size=\"76070912\", alpha=\"0.17\", expect_size=\"38035456\"] \n  5 -> 10 [size =\"38035456\"]\n  5 -> 11 [size =\"38035456\"]\n  5 -> 12 [size =\"38035456\"]\n  5 -> 13 [size =\"38035456\"]\n  6 [size=\"17946624\", alpha=\"0.11\", expect_size=\"8973312\"] \n  6 -> 9 [size =\"8973312\"]\n  6 -> 10 [size =\"8973312\"]\n  6 -> 11 [size =\"8973312\"]\n  6 -> 12 [size =\"8973312\"]\n  6 -> 13 [size =\"8973312\"]\n  7 [size=\"102871040\", alpha=\"0.07\", expect_size=\"51435520\"] \n  7 -> 9 [size =\"51435520\"]\n  7 -> 12 [size =\"51435520\"]\n  8 [size=\"62226432\", alpha=\"0.15\", expect_size=\"31113216\"] \n  8 -> 9 [size =\"31113216\"]\n  8 -> 13 [size =\"31113216\"]\n  9 [size=\"43374592\", alpha=\"0.12\", expect_size=\"21687296\"] \n  9 -> 15 [size =\"21687296\"]\n  10 [size=\"48254976\", alpha=\"0.18\", expect_size=\"24127488\"] \n  10 -> 14 [size =\"24127488\"]\n  10 -> 15 [size =\"24127488\"]\n  10 -> 17 [size =\"24127488\"]\n  11 [size=\"18849792\", alpha=\"0.06\", expect_size=\"9424896\"] \n  11 -> 14 [size =\"9424896\"]\n  11 -> 17 [size =\"9424896\"]\n  12 [size=\"100567040\", alpha=\"0.03\", expect_size=\"50283520\"] \n  12 -> 16 [size =\"50283520\"]\n  13 [size=\"85581824\", alpha=\"0.13\", expect_size=\"42790912\"] \n  13 -> 17 [size =\"42790912\"]\n  14 [size=\"100978688\", alpha=\"0.02\", expect_size=\"50489344\"] \n  14 -> 19 [size =\"50489344\"]\n  14 -> 20 [size =\"50489344\"]\n  14 -> 21 [size =\"50489344\"]\n  14 -> 22 [size =\"50489344\"]\n  15 [size=\"54798336\", alpha=\"0.04\", expect_size=\"27399168\"] \n  15 -> 19 [size =\"27399168\"]\n  15 -> 21 [size =\"27399168\"]\n  16 [size=\"41797632\", alpha=\"0.09\", expect_size=\"20898816\"] \n  16 -> 18 [size =\"20898816\"]\n  16 -> 19 [size =\"20898816\"]\n  16 -> 20 [size =\"20898816\"]\n  16 -> 21 [size =\"20898816\"]\n  17 [size=\"95954944\", alpha=\"0.15\", expect_size=\"47977472\"] \n  17 -> 20 [size =\"47977472\"]\n  18 [size=\"34461696\", alpha=\"0.04\", expect_size=\"17230848\"] \n  18 -> 24 [size =\"17230848\"]\n  19 [size=\"103272448\", alpha=\"0.03\", expect_size=\"51636224\"] \n  19 -> 23 [size =\"51636224\"]\n  19 -> 24 [size =\"51636224\"]\n  19 -> 26 [size =\"51636224\"]\n  20 [size=\"66471936\", alpha=\"0.08\", expect_size=\"33235968\"] \n  20 -> 24 [size =\"33235968\"]\n  20 -> 25 [size =\"33235968\"]\n  20 -> 26 [size =\"33235968\"]\n  21 [size=\"56446976\", alpha=\"0.16\", expect_size=\"28223488\"] \n  21 -> 25 [size =\"28223488\"]\n  21 -> 25 [size =\"28223488\"]\n  21 -> 26 [size =\"28223488\"]\n  22 [size=\"85037056\", alpha=\"0.09\", expect_size=\"42518528\"] \n  22 -> 23 [size =\"42518528\"]\n  23 [size=\"97013760\", alpha=\"0.05\", expect_size=\"48506880\"] \n  23 -> 28 [size =\"48506880\"]\n  23 -> 29 [size =\"48506880\"]\n  24 [size=\"62728192\", alpha=\"0.08\", expect_size=\"31364096\"] \n  24 -> 27 [size =\"31364096\"]\n  24 -> 28 [size =\"31364096\"]\n  24 -> 29 [size =\"31364096\"]\n  25 [size=\"72744960\", alpha=\"0.05\", expect_size=\"36372480\"] \n  25 -> 27 [size =\"36372480\"]\n  25 -> 28 [size =\"36372480\"]\n  26 [size=\"89843712\", alpha=\"0.04\", expect_size=\"44921856\"] \n  26 -> 27 [size =\"44921856\"]\n  26 -> 29 [size =\"44921856\"]\n  26 -> 30 [size =\"44921856\"]\n  27 [size=\"36798464\", alpha=\"0.03\", expect_size=\"18399232\"] \n  27 -> 32 [size =\"18399232\"]\n  28 [size=\"13654016\", alpha=\"0.12\", expect_size=\"6827008\"] \n  28 -> 31 [size =\"6827008\"]\n  28 -> 33 [size =\"6827008\"]\n  29 [size=\"34211840\", alpha=\"0.08\", expect_size=\"17105920\"] \n  29 -> 33 [size =\"17105920\"]\n  30 [size=\"46106624\", alpha=\"0.13\", expect_size=\"23053312\"] \n  30 -> 34 [size =\"23053312\"]\n  31 [size=\"81780736\", alpha=\"0.19\", expect_size=\"40890368\"] \n  32 [size=\"63793152\", alpha=\"0.04\", expect_size=\"31896576\"] \n  33 [size=\"13793280\", alpha=\"0.05\", expect_size=\"6896640\"] \n  33 -> 35 [size =\"6896640\"]\n  34 [size=\"35684352\", alpha=\"0.05\", expect_size=\"17842176\"] \n  35 [size=\"73410560\", alpha=\"0.15\", expect_size=\"36705280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119104000\", alpha=\"0.15\", expect_size=\"47641600\"] \n  1 -> 26 [size =\"47641600\"]\n  1 -> 27 [size =\"47641600\"]\n  1 -> 30 [size =\"47641600\"]\n  1 -> 33 [size =\"47641600\"]\n  2 [size=\"70328320\", alpha=\"0.17\", expect_size=\"28131328\"] \n  2 -> 23 [size =\"28131328\"]\n  2 -> 24 [size =\"28131328\"]\n  2 -> 25 [size =\"28131328\"]\n  2 -> 29 [size =\"28131328\"]\n  3 [size=\"106250240\", alpha=\"0.18\", expect_size=\"42500096\"] \n  3 -> 23 [size =\"42500096\"]\n  3 -> 29 [size =\"42500096\"]\n  3 -> 33 [size =\"42500096\"]\n  4 [size=\"93096960\", alpha=\"0.18\", expect_size=\"37238784\"] \n  4 -> 24 [size =\"37238784\"]\n  4 -> 26 [size =\"37238784\"]\n  4 -> 29 [size =\"37238784\"]\n  4 -> 35 [size =\"37238784\"]\n  5 [size=\"108733440\", alpha=\"0.17\", expect_size=\"43493376\"] \n  5 -> 22 [size =\"43493376\"]\n  5 -> 23 [size =\"43493376\"]\n  5 -> 24 [size =\"43493376\"]\n  5 -> 26 [size =\"43493376\"]\n  5 -> 29 [size =\"43493376\"]\n  5 -> 30 [size =\"43493376\"]\n  5 -> 33 [size =\"43493376\"]\n  6 [size=\"33789440\", alpha=\"0.15\", expect_size=\"13515776\"] \n  6 -> 22 [size =\"13515776\"]\n  6 -> 23 [size =\"13515776\"]\n  6 -> 24 [size =\"13515776\"]\n  6 -> 26 [size =\"13515776\"]\n  6 -> 28 [size =\"13515776\"]\n  6 -> 29 [size =\"13515776\"]\n  6 -> 30 [size =\"13515776\"]\n  7 [size=\"29145600\", alpha=\"0.09\", expect_size=\"11658240\"] \n  7 -> 22 [size =\"11658240\"]\n  7 -> 23 [size =\"11658240\"]\n  7 -> 30 [size =\"11658240\"]\n  7 -> 33 [size =\"11658240\"]\n  7 -> 34 [size =\"11658240\"]\n  7 -> 35 [size =\"11658240\"]\n  8 [size=\"22704640\", alpha=\"0.14\", expect_size=\"9081856\"] \n  8 -> 22 [size =\"9081856\"]\n  8 -> 23 [size =\"9081856\"]\n  8 -> 29 [size =\"9081856\"]\n  8 -> 31 [size =\"9081856\"]\n  8 -> 33 [size =\"9081856\"]\n  8 -> 35 [size =\"9081856\"]\n  9 [size=\"127045120\", alpha=\"0.19\", expect_size=\"50818048\"] \n  9 -> 31 [size =\"50818048\"]\n  9 -> 35 [size =\"50818048\"]\n  10 [size=\"65397760\", alpha=\"0.07\", expect_size=\"26159104\"] \n  10 -> 22 [size =\"26159104\"]\n  10 -> 23 [size =\"26159104\"]\n  10 -> 27 [size =\"26159104\"]\n  10 -> 35 [size =\"26159104\"]\n  11 [size=\"89054720\", alpha=\"0.08\", expect_size=\"35621888\"] \n  11 -> 23 [size =\"35621888\"]\n  11 -> 33 [size =\"35621888\"]\n  11 -> 35 [size =\"35621888\"]\n  11 -> 35 [size =\"35621888\"]\n  12 [size=\"58542080\", alpha=\"0.09\", expect_size=\"23416832\"] \n  12 -> 23 [size =\"23416832\"]\n  12 -> 26 [size =\"23416832\"]\n  12 -> 33 [size =\"23416832\"]\n  12 -> 34 [size =\"23416832\"]\n  12 -> 35 [size =\"23416832\"]\n  13 [size=\"42572800\", alpha=\"0.16\", expect_size=\"17029120\"] \n  13 -> 22 [size =\"17029120\"]\n  13 -> 23 [size =\"17029120\"]\n  13 -> 26 [size =\"17029120\"]\n  13 -> 28 [size =\"17029120\"]\n  13 -> 29 [size =\"17029120\"]\n  13 -> 33 [size =\"17029120\"]\n  13 -> 34 [size =\"17029120\"]\n  13 -> 35 [size =\"17029120\"]\n  14 [size=\"32801280\", alpha=\"0.16\", expect_size=\"13120512\"] \n  14 -> 22 [size =\"13120512\"]\n  14 -> 23 [size =\"13120512\"]\n  14 -> 26 [size =\"13120512\"]\n  14 -> 29 [size =\"13120512\"]\n  14 -> 35 [size =\"13120512\"]\n  15 [size=\"22694400\", alpha=\"0.06\", expect_size=\"9077760\"] \n  15 -> 22 [size =\"9077760\"]\n  15 -> 25 [size =\"9077760\"]\n  15 -> 26 [size =\"9077760\"]\n  15 -> 29 [size =\"9077760\"]\n  15 -> 30 [size =\"9077760\"]\n  15 -> 33 [size =\"9077760\"]\n  16 [size=\"123816960\", alpha=\"0.12\", expect_size=\"49526784\"] \n  16 -> 22 [size =\"49526784\"]\n  16 -> 23 [size =\"49526784\"]\n  16 -> 26 [size =\"49526784\"]\n  16 -> 29 [size =\"49526784\"]\n  16 -> 31 [size =\"49526784\"]\n  16 -> 33 [size =\"49526784\"]\n  16 -> 34 [size =\"49526784\"]\n  17 [size=\"97180160\", alpha=\"0.08\", expect_size=\"38872064\"] \n  17 -> 22 [size =\"38872064\"]\n  17 -> 23 [size =\"38872064\"]\n  17 -> 26 [size =\"38872064\"]\n  17 -> 33 [size =\"38872064\"]\n  17 -> 34 [size =\"38872064\"]\n  17 -> 35 [size =\"38872064\"]\n  18 [size=\"33239040\", alpha=\"0.08\", expect_size=\"13295616\"] \n  18 -> 22 [size =\"13295616\"]\n  18 -> 23 [size =\"13295616\"]\n  18 -> 26 [size =\"13295616\"]\n  18 -> 29 [size =\"13295616\"]\n  18 -> 34 [size =\"13295616\"]\n  18 -> 35 [size =\"13295616\"]\n  19 [size=\"114411520\", alpha=\"0.15\", expect_size=\"45764608\"] \n  19 -> 22 [size =\"45764608\"]\n  19 -> 24 [size =\"45764608\"]\n  19 -> 29 [size =\"45764608\"]\n  19 -> 29 [size =\"45764608\"]\n  19 -> 35 [size =\"45764608\"]\n  20 [size=\"110784000\", alpha=\"0.19\", expect_size=\"44313600\"] \n  20 -> 22 [size =\"44313600\"]\n  20 -> 24 [size =\"44313600\"]\n  20 -> 30 [size =\"44313600\"]\n  21 [size=\"31239680\", alpha=\"0.02\", expect_size=\"12495872\"] \n  21 -> 23 [size =\"12495872\"]\n  21 -> 24 [size =\"12495872\"]\n  21 -> 30 [size =\"12495872\"]\n  21 -> 31 [size =\"12495872\"]\n  21 -> 32 [size =\"12495872\"]\n  22 [size=\"78801920\", alpha=\"0.15\", expect_size=\"31520768\"] \n  23 [size=\"15060480\", alpha=\"0.03\", expect_size=\"6024192\"] \n  24 [size=\"109112320\", alpha=\"0.05\", expect_size=\"43644928\"] \n  25 [size=\"87408640\", alpha=\"0.03\", expect_size=\"34963456\"] \n  26 [size=\"125222400\", alpha=\"0.05\", expect_size=\"50088960\"] \n  27 [size=\"77363200\", alpha=\"0.09\", expect_size=\"30945280\"] \n  28 [size=\"121671680\", alpha=\"0.15\", expect_size=\"48668672\"] \n  29 [size=\"49433600\", alpha=\"0.00\", expect_size=\"19773440\"] \n  30 [size=\"17167360\", alpha=\"0.14\", expect_size=\"6866944\"] \n  31 [size=\"13606400\", alpha=\"0.01\", expect_size=\"5442560\"] \n  32 [size=\"26787840\", alpha=\"0.16\", expect_size=\"10715136\"] \n  33 [size=\"113932800\", alpha=\"0.16\", expect_size=\"45573120\"] \n  34 [size=\"14289920\", alpha=\"0.19\", expect_size=\"5715968\"] \n  35 [size=\"43781120\", alpha=\"0.04\", expect_size=\"17512448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19114667\", alpha=\"0.12\", expect_size=\"5734400\"] \n  1 -> 28 [size =\"5734400\"]\n  2 [size=\"164444160\", alpha=\"0.19\", expect_size=\"49333248\"] \n  2 -> 25 [size =\"49333248\"]\n  2 -> 26 [size =\"49333248\"]\n  2 -> 27 [size =\"49333248\"]\n  2 -> 33 [size =\"49333248\"]\n  2 -> 35 [size =\"49333248\"]\n  3 [size=\"160535893\", alpha=\"0.19\", expect_size=\"48160768\"] \n  3 -> 26 [size =\"48160768\"]\n  3 -> 26 [size =\"48160768\"]\n  3 -> 28 [size =\"48160768\"]\n  3 -> 29 [size =\"48160768\"]\n  3 -> 31 [size =\"48160768\"]\n  3 -> 32 [size =\"48160768\"]\n  3 -> 33 [size =\"48160768\"]\n  3 -> 35 [size =\"48160768\"]\n  4 [size=\"98068480\", alpha=\"0.01\", expect_size=\"29420544\"] \n  4 -> 27 [size =\"29420544\"]\n  4 -> 32 [size =\"29420544\"]\n  4 -> 34 [size =\"29420544\"]\n  5 [size=\"144264533\", alpha=\"0.05\", expect_size=\"43279360\"] \n  5 -> 27 [size =\"43279360\"]\n  5 -> 28 [size =\"43279360\"]\n  5 -> 32 [size =\"43279360\"]\n  5 -> 33 [size =\"43279360\"]\n  6 [size=\"130437120\", alpha=\"0.12\", expect_size=\"39131136\"] \n  6 -> 27 [size =\"39131136\"]\n  6 -> 28 [size =\"39131136\"]\n  6 -> 30 [size =\"39131136\"]\n  6 -> 32 [size =\"39131136\"]\n  7 [size=\"142895787\", alpha=\"0.18\", expect_size=\"42868736\"] \n  7 -> 29 [size =\"42868736\"]\n  7 -> 32 [size =\"42868736\"]\n  7 -> 33 [size =\"42868736\"]\n  8 [size=\"71444480\", alpha=\"0.13\", expect_size=\"21433344\"] \n  8 -> 27 [size =\"21433344\"]\n  8 -> 32 [size =\"21433344\"]\n  8 -> 33 [size =\"21433344\"]\n  8 -> 35 [size =\"21433344\"]\n  9 [size=\"160327680\", alpha=\"0.14\", expect_size=\"48098304\"] \n  9 -> 25 [size =\"48098304\"]\n  9 -> 29 [size =\"48098304\"]\n  9 -> 30 [size =\"48098304\"]\n  9 -> 31 [size =\"48098304\"]\n  9 -> 32 [size =\"48098304\"]\n  9 -> 33 [size =\"48098304\"]\n  9 -> 35 [size =\"48098304\"]\n  10 [size=\"111486293\", alpha=\"0.05\", expect_size=\"33445888\"] \n  10 -> 25 [size =\"33445888\"]\n  10 -> 27 [size =\"33445888\"]\n  10 -> 28 [size =\"33445888\"]\n  10 -> 30 [size =\"33445888\"]\n  10 -> 35 [size =\"33445888\"]\n  11 [size=\"116411733\", alpha=\"0.10\", expect_size=\"34923520\"] \n  11 -> 26 [size =\"34923520\"]\n  11 -> 27 [size =\"34923520\"]\n  11 -> 28 [size =\"34923520\"]\n  11 -> 29 [size =\"34923520\"]\n  11 -> 30 [size =\"34923520\"]\n  11 -> 32 [size =\"34923520\"]\n  11 -> 35 [size =\"34923520\"]\n  12 [size=\"55848960\", alpha=\"0.15\", expect_size=\"16754688\"] \n  12 -> 25 [size =\"16754688\"]\n  12 -> 26 [size =\"16754688\"]\n  12 -> 27 [size =\"16754688\"]\n  12 -> 29 [size =\"16754688\"]\n  12 -> 30 [size =\"16754688\"]\n  12 -> 33 [size =\"16754688\"]\n  12 -> 35 [size =\"16754688\"]\n  13 [size=\"49759573\", alpha=\"0.06\", expect_size=\"14927872\"] \n  13 -> 25 [size =\"14927872\"]\n  13 -> 28 [size =\"14927872\"]\n  13 -> 29 [size =\"14927872\"]\n  13 -> 33 [size =\"14927872\"]\n  14 [size=\"40963413\", alpha=\"0.02\", expect_size=\"12289024\"] \n  14 -> 25 [size =\"12289024\"]\n  14 -> 26 [size =\"12289024\"]\n  14 -> 27 [size =\"12289024\"]\n  14 -> 35 [size =\"12289024\"]\n  15 [size=\"45291520\", alpha=\"0.01\", expect_size=\"13587456\"] \n  15 -> 27 [size =\"13587456\"]\n  15 -> 28 [size =\"13587456\"]\n  15 -> 29 [size =\"13587456\"]\n  16 [size=\"81797120\", alpha=\"0.15\", expect_size=\"24539136\"] \n  16 -> 25 [size =\"24539136\"]\n  16 -> 26 [size =\"24539136\"]\n  16 -> 27 [size =\"24539136\"]\n  16 -> 32 [size =\"24539136\"]\n  17 [size=\"20783787\", alpha=\"0.03\", expect_size=\"6235136\"] \n  17 -> 25 [size =\"6235136\"]\n  17 -> 26 [size =\"6235136\"]\n  17 -> 28 [size =\"6235136\"]\n  17 -> 33 [size =\"6235136\"]\n  17 -> 35 [size =\"6235136\"]\n  18 [size=\"159330987\", alpha=\"0.13\", expect_size=\"47799296\"] \n  18 -> 26 [size =\"47799296\"]\n  18 -> 26 [size =\"47799296\"]\n  18 -> 27 [size =\"47799296\"]\n  18 -> 29 [size =\"47799296\"]\n  18 -> 32 [size =\"47799296\"]\n  19 [size=\"107072853\", alpha=\"0.08\", expect_size=\"32121856\"] \n  19 -> 25 [size =\"32121856\"]\n  19 -> 26 [size =\"32121856\"]\n  19 -> 33 [size =\"32121856\"]\n  19 -> 34 [size =\"32121856\"]\n  20 [size=\"56729600\", alpha=\"0.08\", expect_size=\"17018880\"] \n  20 -> 25 [size =\"17018880\"]\n  20 -> 26 [size =\"17018880\"]\n  20 -> 27 [size =\"17018880\"]\n  21 [size=\"97413120\", alpha=\"0.09\", expect_size=\"29223936\"] \n  21 -> 25 [size =\"29223936\"]\n  21 -> 31 [size =\"29223936\"]\n  21 -> 32 [size =\"29223936\"]\n  22 [size=\"173390507\", alpha=\"0.08\", expect_size=\"52017152\"] \n  22 -> 25 [size =\"52017152\"]\n  22 -> 31 [size =\"52017152\"]\n  22 -> 32 [size =\"52017152\"]\n  23 [size=\"137175040\", alpha=\"0.05\", expect_size=\"41152512\"] \n  23 -> 25 [size =\"41152512\"]\n  23 -> 26 [size =\"41152512\"]\n  23 -> 27 [size =\"41152512\"]\n  23 -> 28 [size =\"41152512\"]\n  23 -> 29 [size =\"41152512\"]\n  23 -> 31 [size =\"41152512\"]\n  23 -> 32 [size =\"41152512\"]\n  23 -> 33 [size =\"41152512\"]\n  23 -> 35 [size =\"41152512\"]\n  24 [size=\"24965120\", alpha=\"0.13\", expect_size=\"7489536\"] \n  24 -> 25 [size =\"7489536\"]\n  24 -> 28 [size =\"7489536\"]\n  24 -> 32 [size =\"7489536\"]\n  24 -> 33 [size =\"7489536\"]\n  24 -> 34 [size =\"7489536\"]\n  24 -> 35 [size =\"7489536\"]\n  25 [size=\"43816960\", alpha=\"0.16\", expect_size=\"13145088\"] \n  26 [size=\"52954453\", alpha=\"0.14\", expect_size=\"15886336\"] \n  27 [size=\"168663040\", alpha=\"0.08\", expect_size=\"50598912\"] \n  28 [size=\"34399573\", alpha=\"0.09\", expect_size=\"10319872\"] \n  29 [size=\"135482027\", alpha=\"0.08\", expect_size=\"40644608\"] \n  30 [size=\"41489067\", alpha=\"0.19\", expect_size=\"12446720\"] \n  31 [size=\"106509653\", alpha=\"0.03\", expect_size=\"31952896\"] \n  32 [size=\"17605973\", alpha=\"0.11\", expect_size=\"5281792\"] \n  33 [size=\"79042560\", alpha=\"0.04\", expect_size=\"23712768\"] \n  34 [size=\"119302827\", alpha=\"0.19\", expect_size=\"35790848\"] \n  35 [size=\"61699413\", alpha=\"0.18\", expect_size=\"18509824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98351787\", alpha=\"0.02\", expect_size=\"29505536\"] \n  2 [size=\"88176640\", alpha=\"0.06\", expect_size=\"26452992\"] \n  2 -> 3 [size =\"26452992\"]\n  3 [size=\"118695253\", alpha=\"0.14\", expect_size=\"35608576\"] \n  3 -> 4 [size =\"35608576\"]\n  4 [size=\"54336853\", alpha=\"0.02\", expect_size=\"16301056\"] \n  4 -> 5 [size =\"16301056\"]\n  4 -> 6 [size =\"16301056\"]\n  5 [size=\"72260267\", alpha=\"0.01\", expect_size=\"21678080\"] \n  6 [size=\"131092480\", alpha=\"0.12\", expect_size=\"39327744\"] \n  6 -> 7 [size =\"39327744\"]\n  6 -> 8 [size =\"39327744\"]\n  7 [size=\"55319893\", alpha=\"0.11\", expect_size=\"16595968\"] \n  8 [size=\"29146453\", alpha=\"0.04\", expect_size=\"8743936\"] \n  8 -> 9 [size =\"8743936\"]\n  9 [size=\"152832000\", alpha=\"0.16\", expect_size=\"45849600\"] \n  9 -> 10 [size =\"45849600\"]\n  9 -> 11 [size =\"45849600\"]\n  10 [size=\"33832960\", alpha=\"0.15\", expect_size=\"10149888\"] \n  11 [size=\"102785707\", alpha=\"0.00\", expect_size=\"30835712\"] \n  11 -> 12 [size =\"30835712\"]\n  11 -> 13 [size =\"30835712\"]\n  12 [size=\"115558400\", alpha=\"0.03\", expect_size=\"34667520\"] \n  13 [size=\"166379520\", alpha=\"0.20\", expect_size=\"49913856\"] \n  13 -> 14 [size =\"49913856\"]\n  13 -> 15 [size =\"49913856\"]\n  14 [size=\"122357760\", alpha=\"0.13\", expect_size=\"36707328\"] \n  14 -> 16 [size =\"36707328\"]\n  15 [size=\"134461440\", alpha=\"0.03\", expect_size=\"40338432\"] \n  15 -> 17 [size =\"40338432\"]\n  16 [size=\"143769600\", alpha=\"0.04\", expect_size=\"43130880\"] \n  16 -> 19 [size =\"43130880\"]\n  17 [size=\"82367147\", alpha=\"0.18\", expect_size=\"24710144\"] \n  17 -> 18 [size =\"24710144\"]\n  18 [size=\"172260693\", alpha=\"0.05\", expect_size=\"51678208\"] \n  18 -> 21 [size =\"51678208\"]\n  19 [size=\"46636373\", alpha=\"0.19\", expect_size=\"13990912\"] \n  19 -> 20 [size =\"13990912\"]\n  20 [size=\"171687253\", alpha=\"0.14\", expect_size=\"51506176\"] \n  20 -> 22 [size =\"51506176\"]\n  20 -> 23 [size =\"51506176\"]\n  21 [size=\"129041067\", alpha=\"0.19\", expect_size=\"38712320\"] \n  22 [size=\"131072000\", alpha=\"0.14\", expect_size=\"39321600\"] \n  22 -> 24 [size =\"39321600\"]\n  22 -> 25 [size =\"39321600\"]\n  23 [size=\"152507733\", alpha=\"0.01\", expect_size=\"45752320\"] \n  24 [size=\"152098133\", alpha=\"0.13\", expect_size=\"45629440\"] \n  25 [size=\"97498453\", alpha=\"0.12\", expect_size=\"29249536\"] \n  25 -> 26 [size =\"29249536\"]\n  25 -> 27 [size =\"29249536\"]\n  26 [size=\"124487680\", alpha=\"0.05\", expect_size=\"37346304\"] \n  27 [size=\"155511467\", alpha=\"0.04\", expect_size=\"46653440\"] \n  27 -> 28 [size =\"46653440\"]\n  28 [size=\"140858027\", alpha=\"0.03\", expect_size=\"42257408\"] \n  28 -> 29 [size =\"42257408\"]\n  28 -> 30 [size =\"42257408\"]\n  29 [size=\"22824960\", alpha=\"0.00\", expect_size=\"6847488\"] \n  29 -> 31 [size =\"6847488\"]\n  30 [size=\"171677013\", alpha=\"0.19\", expect_size=\"51503104\"] \n  31 [size=\"124975787\", alpha=\"0.09\", expect_size=\"37492736\"] \n  31 -> 32 [size =\"37492736\"]\n  32 [size=\"120886613\", alpha=\"0.11\", expect_size=\"36265984\"] \n  32 -> 33 [size =\"36265984\"]\n  32 -> 34 [size =\"36265984\"]\n  33 [size=\"72820053\", alpha=\"0.12\", expect_size=\"21846016\"] \n  34 [size=\"82001920\", alpha=\"0.07\", expect_size=\"24600576\"] \n  34 -> 35 [size =\"24600576\"]\n  35 [size=\"28002987\", alpha=\"0.16\", expect_size=\"8400896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97958400\", alpha=\"0.17\", expect_size=\"39183360\"] \n  1 -> 25 [size =\"39183360\"]\n  1 -> 26 [size =\"39183360\"]\n  1 -> 29 [size =\"39183360\"]\n  1 -> 31 [size =\"39183360\"]\n  2 [size=\"50365440\", alpha=\"0.13\", expect_size=\"20146176\"] \n  2 -> 29 [size =\"20146176\"]\n  3 [size=\"87372800\", alpha=\"0.20\", expect_size=\"34949120\"] \n  3 -> 29 [size =\"34949120\"]\n  3 -> 30 [size =\"34949120\"]\n  3 -> 31 [size =\"34949120\"]\n  3 -> 33 [size =\"34949120\"]\n  4 [size=\"31736320\", alpha=\"0.15\", expect_size=\"12694528\"] \n  4 -> 28 [size =\"12694528\"]\n  4 -> 31 [size =\"12694528\"]\n  5 [size=\"103982080\", alpha=\"0.19\", expect_size=\"41592832\"] \n  5 -> 29 [size =\"41592832\"]\n  5 -> 31 [size =\"41592832\"]\n  6 [size=\"104291840\", alpha=\"0.15\", expect_size=\"41716736\"] \n  6 -> 29 [size =\"41716736\"]\n  6 -> 32 [size =\"41716736\"]\n  6 -> 34 [size =\"41716736\"]\n  7 [size=\"23068160\", alpha=\"0.04\", expect_size=\"9227264\"] \n  7 -> 25 [size =\"9227264\"]\n  7 -> 26 [size =\"9227264\"]\n  7 -> 32 [size =\"9227264\"]\n  8 [size=\"51450880\", alpha=\"0.12\", expect_size=\"20580352\"] \n  8 -> 25 [size =\"20580352\"]\n  8 -> 27 [size =\"20580352\"]\n  9 [size=\"100935680\", alpha=\"0.11\", expect_size=\"40374272\"] \n  9 -> 26 [size =\"40374272\"]\n  9 -> 28 [size =\"40374272\"]\n  10 [size=\"113372160\", alpha=\"0.01\", expect_size=\"45348864\"] \n  10 -> 26 [size =\"45348864\"]\n  10 -> 30 [size =\"45348864\"]\n  10 -> 32 [size =\"45348864\"]\n  11 [size=\"17011200\", alpha=\"0.01\", expect_size=\"6804480\"] \n  11 -> 31 [size =\"6804480\"]\n  11 -> 32 [size =\"6804480\"]\n  12 [size=\"117327360\", alpha=\"0.06\", expect_size=\"46930944\"] \n  12 -> 26 [size =\"46930944\"]\n  12 -> 27 [size =\"46930944\"]\n  13 [size=\"74910720\", alpha=\"0.03\", expect_size=\"29964288\"] \n  13 -> 33 [size =\"29964288\"]\n  14 [size=\"72622080\", alpha=\"0.01\", expect_size=\"29048832\"] \n  14 -> 26 [size =\"29048832\"]\n  14 -> 27 [size =\"29048832\"]\n  14 -> 29 [size =\"29048832\"]\n  14 -> 33 [size =\"29048832\"]\n  15 [size=\"41098240\", alpha=\"0.07\", expect_size=\"16439296\"] \n  15 -> 25 [size =\"16439296\"]\n  15 -> 28 [size =\"16439296\"]\n  15 -> 31 [size =\"16439296\"]\n  16 [size=\"35914240\", alpha=\"0.06\", expect_size=\"14365696\"] \n  16 -> 27 [size =\"14365696\"]\n  16 -> 30 [size =\"14365696\"]\n  17 [size=\"125114880\", alpha=\"0.18\", expect_size=\"50045952\"] \n  17 -> 25 [size =\"50045952\"]\n  18 [size=\"29299200\", alpha=\"0.16\", expect_size=\"11719680\"] \n  18 -> 29 [size =\"11719680\"]\n  19 [size=\"97635840\", alpha=\"0.17\", expect_size=\"39054336\"] \n  19 -> 29 [size =\"39054336\"]\n  19 -> 30 [size =\"39054336\"]\n  19 -> 32 [size =\"39054336\"]\n  20 [size=\"43676160\", alpha=\"0.06\", expect_size=\"17470464\"] \n  20 -> 28 [size =\"17470464\"]\n  20 -> 30 [size =\"17470464\"]\n  20 -> 32 [size =\"17470464\"]\n  20 -> 33 [size =\"17470464\"]\n  21 [size=\"49876480\", alpha=\"0.10\", expect_size=\"19950592\"] \n  21 -> 30 [size =\"19950592\"]\n  21 -> 32 [size =\"19950592\"]\n  21 -> 32 [size =\"19950592\"]\n  21 -> 34 [size =\"19950592\"]\n  22 [size=\"56317440\", alpha=\"0.20\", expect_size=\"22526976\"] \n  22 -> 28 [size =\"22526976\"]\n  22 -> 29 [size =\"22526976\"]\n  22 -> 35 [size =\"22526976\"]\n  23 [size=\"89576960\", alpha=\"0.02\", expect_size=\"35830784\"] \n  23 -> 27 [size =\"35830784\"]\n  23 -> 32 [size =\"35830784\"]\n  24 [size=\"105305600\", alpha=\"0.08\", expect_size=\"42122240\"] \n  24 -> 29 [size =\"42122240\"]\n  24 -> 31 [size =\"42122240\"]\n  25 [size=\"113203200\", alpha=\"0.09\", expect_size=\"45281280\"] \n  26 [size=\"35097600\", alpha=\"0.06\", expect_size=\"14039040\"] \n  27 [size=\"68321280\", alpha=\"0.04\", expect_size=\"27328512\"] \n  28 [size=\"56714240\", alpha=\"0.09\", expect_size=\"22685696\"] \n  29 [size=\"34001920\", alpha=\"0.08\", expect_size=\"13600768\"] \n  30 [size=\"15019520\", alpha=\"0.05\", expect_size=\"6007808\"] \n  31 [size=\"50708480\", alpha=\"0.02\", expect_size=\"20283392\"] \n  32 [size=\"107960320\", alpha=\"0.17\", expect_size=\"43184128\"] \n  33 [size=\"106068480\", alpha=\"0.03\", expect_size=\"42427392\"] \n  34 [size=\"119298560\", alpha=\"0.18\", expect_size=\"47719424\"] \n  35 [size=\"48317440\", alpha=\"0.19\", expect_size=\"19326976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110046720\", alpha=\"0.14\", expect_size=\"44018688\"] \n  2 [size=\"102059520\", alpha=\"0.05\", expect_size=\"40823808\"] \n  2 -> 28 [size =\"40823808\"]\n  2 -> 29 [size =\"40823808\"]\n  2 -> 30 [size =\"40823808\"]\n  2 -> 34 [size =\"40823808\"]\n  2 -> 35 [size =\"40823808\"]\n  3 [size=\"40988160\", alpha=\"0.10\", expect_size=\"16395264\"] \n  3 -> 28 [size =\"16395264\"]\n  4 [size=\"69335040\", alpha=\"0.07\", expect_size=\"27734016\"] \n  4 -> 31 [size =\"27734016\"]\n  4 -> 34 [size =\"27734016\"]\n  4 -> 35 [size =\"27734016\"]\n  5 [size=\"101283840\", alpha=\"0.06\", expect_size=\"40513536\"] \n  5 -> 28 [size =\"40513536\"]\n  5 -> 34 [size =\"40513536\"]\n  5 -> 35 [size =\"40513536\"]\n  6 [size=\"106798080\", alpha=\"0.01\", expect_size=\"42719232\"] \n  6 -> 29 [size =\"42719232\"]\n  6 -> 34 [size =\"42719232\"]\n  6 -> 35 [size =\"42719232\"]\n  7 [size=\"98096640\", alpha=\"0.12\", expect_size=\"39238656\"] \n  7 -> 28 [size =\"39238656\"]\n  7 -> 34 [size =\"39238656\"]\n  7 -> 35 [size =\"39238656\"]\n  8 [size=\"78812160\", alpha=\"0.01\", expect_size=\"31524864\"] \n  8 -> 28 [size =\"31524864\"]\n  8 -> 29 [size =\"31524864\"]\n  8 -> 33 [size =\"31524864\"]\n  8 -> 35 [size =\"31524864\"]\n  9 [size=\"31022080\", alpha=\"0.04\", expect_size=\"12408832\"] \n  9 -> 28 [size =\"12408832\"]\n  9 -> 32 [size =\"12408832\"]\n  10 [size=\"67758080\", alpha=\"0.19\", expect_size=\"27103232\"] \n  10 -> 29 [size =\"27103232\"]\n  10 -> 30 [size =\"27103232\"]\n  10 -> 31 [size =\"27103232\"]\n  10 -> 35 [size =\"27103232\"]\n  11 [size=\"127544320\", alpha=\"0.12\", expect_size=\"51017728\"] \n  11 -> 29 [size =\"51017728\"]\n  11 -> 31 [size =\"51017728\"]\n  11 -> 35 [size =\"51017728\"]\n  12 [size=\"93998080\", alpha=\"0.01\", expect_size=\"37599232\"] \n  13 [size=\"120806400\", alpha=\"0.11\", expect_size=\"48322560\"] \n  13 -> 28 [size =\"48322560\"]\n  13 -> 29 [size =\"48322560\"]\n  13 -> 30 [size =\"48322560\"]\n  13 -> 35 [size =\"48322560\"]\n  14 [size=\"61340160\", alpha=\"0.06\", expect_size=\"24536064\"] \n  14 -> 29 [size =\"24536064\"]\n  15 [size=\"100528640\", alpha=\"0.19\", expect_size=\"40211456\"] \n  15 -> 34 [size =\"40211456\"]\n  15 -> 35 [size =\"40211456\"]\n  16 [size=\"19676160\", alpha=\"0.06\", expect_size=\"7870464\"] \n  16 -> 29 [size =\"7870464\"]\n  16 -> 34 [size =\"7870464\"]\n  17 [size=\"28474880\", alpha=\"0.00\", expect_size=\"11389952\"] \n  17 -> 35 [size =\"11389952\"]\n  18 [size=\"97776640\", alpha=\"0.18\", expect_size=\"39110656\"] \n  18 -> 29 [size =\"39110656\"]\n  18 -> 35 [size =\"39110656\"]\n  19 [size=\"101450240\", alpha=\"0.06\", expect_size=\"40580096\"] \n  20 [size=\"127390720\", alpha=\"0.20\", expect_size=\"50956288\"] \n  21 [size=\"120947200\", alpha=\"0.10\", expect_size=\"48378880\"] \n  22 [size=\"72125440\", alpha=\"0.15\", expect_size=\"28850176\"] \n  22 -> 28 [size =\"28850176\"]\n  22 -> 29 [size =\"28850176\"]\n  22 -> 30 [size =\"28850176\"]\n  22 -> 34 [size =\"28850176\"]\n  23 [size=\"76090880\", alpha=\"0.05\", expect_size=\"30436352\"] \n  24 [size=\"23247360\", alpha=\"0.04\", expect_size=\"9298944\"] \n  24 -> 28 [size =\"9298944\"]\n  24 -> 35 [size =\"9298944\"]\n  25 [size=\"56908800\", alpha=\"0.19\", expect_size=\"22763520\"] \n  25 -> 29 [size =\"22763520\"]\n  25 -> 30 [size =\"22763520\"]\n  25 -> 35 [size =\"22763520\"]\n  26 [size=\"53601280\", alpha=\"0.09\", expect_size=\"21440512\"] \n  26 -> 29 [size =\"21440512\"]\n  26 -> 34 [size =\"21440512\"]\n  27 [size=\"88719360\", alpha=\"0.14\", expect_size=\"35487744\"] \n  27 -> 29 [size =\"35487744\"]\n  28 [size=\"91141120\", alpha=\"0.10\", expect_size=\"36456448\"] \n  29 [size=\"76825600\", alpha=\"0.08\", expect_size=\"30730240\"] \n  30 [size=\"111336960\", alpha=\"0.17\", expect_size=\"44534784\"] \n  31 [size=\"108638720\", alpha=\"0.04\", expect_size=\"43455488\"] \n  32 [size=\"47708160\", alpha=\"0.05\", expect_size=\"19083264\"] \n  33 [size=\"17497600\", alpha=\"0.05\", expect_size=\"6999040\"] \n  34 [size=\"45888000\", alpha=\"0.13\", expect_size=\"18355200\"] \n  35 [size=\"71144960\", alpha=\"0.15\", expect_size=\"28457984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88698880\", alpha=\"0.16\", expect_size=\"44349440\"] \n  1 -> 3 [size =\"44349440\"]\n  2 [size=\"87353344\", alpha=\"0.11\", expect_size=\"43676672\"] \n  2 -> 3 [size =\"43676672\"]\n  3 [size=\"38973440\", alpha=\"0.12\", expect_size=\"19486720\"] \n  3 -> 4 [size =\"19486720\"]\n  3 -> 5 [size =\"19486720\"]\n  4 [size=\"96671744\", alpha=\"0.18\", expect_size=\"48335872\"] \n  5 [size=\"89747456\", alpha=\"0.10\", expect_size=\"44873728\"] \n  5 -> 6 [size =\"44873728\"]\n  5 -> 7 [size =\"44873728\"]\n  6 [size=\"60981248\", alpha=\"0.06\", expect_size=\"30490624\"] \n  6 -> 8 [size =\"30490624\"]\n  6 -> 9 [size =\"30490624\"]\n  7 [size=\"93700096\", alpha=\"0.17\", expect_size=\"46850048\"] \n  7 -> 9 [size =\"46850048\"]\n  8 [size=\"27609088\", alpha=\"0.15\", expect_size=\"13804544\"] \n  8 -> 10 [size =\"13804544\"]\n  8 -> 11 [size =\"13804544\"]\n  9 [size=\"49287168\", alpha=\"0.09\", expect_size=\"24643584\"] \n  9 -> 10 [size =\"24643584\"]\n  9 -> 11 [size =\"24643584\"]\n  10 [size=\"32444416\", alpha=\"0.07\", expect_size=\"16222208\"] \n  10 -> 12 [size =\"16222208\"]\n  10 -> 13 [size =\"16222208\"]\n  11 [size=\"66760704\", alpha=\"0.06\", expect_size=\"33380352\"] \n  12 [size=\"47620096\", alpha=\"0.06\", expect_size=\"23810048\"] \n  12 -> 14 [size =\"23810048\"]\n  12 -> 15 [size =\"23810048\"]\n  13 [size=\"101292032\", alpha=\"0.04\", expect_size=\"50646016\"] \n  13 -> 14 [size =\"50646016\"]\n  13 -> 15 [size =\"50646016\"]\n  14 [size=\"62363648\", alpha=\"0.01\", expect_size=\"31181824\"] \n  14 -> 16 [size =\"31181824\"]\n  15 [size=\"54763520\", alpha=\"0.13\", expect_size=\"27381760\"] \n  15 -> 16 [size =\"27381760\"]\n  16 [size=\"102121472\", alpha=\"0.19\", expect_size=\"51060736\"] \n  16 -> 17 [size =\"51060736\"]\n  16 -> 18 [size =\"51060736\"]\n  17 [size=\"37715968\", alpha=\"0.18\", expect_size=\"18857984\"] \n  17 -> 20 [size =\"18857984\"]\n  18 [size=\"21702656\", alpha=\"0.19\", expect_size=\"10851328\"] \n  18 -> 19 [size =\"10851328\"]\n  18 -> 20 [size =\"10851328\"]\n  19 [size=\"93763584\", alpha=\"0.11\", expect_size=\"46881792\"] \n  19 -> 21 [size =\"46881792\"]\n  20 [size=\"40761344\", alpha=\"0.07\", expect_size=\"20380672\"] \n  21 [size=\"72185856\", alpha=\"0.00\", expect_size=\"36092928\"] \n  21 -> 22 [size =\"36092928\"]\n  22 [size=\"102541312\", alpha=\"0.10\", expect_size=\"51270656\"] \n  22 -> 23 [size =\"51270656\"]\n  22 -> 24 [size =\"51270656\"]\n  23 [size=\"37062656\", alpha=\"0.05\", expect_size=\"18531328\"] \n  23 -> 25 [size =\"18531328\"]\n  24 [size=\"56391680\", alpha=\"0.18\", expect_size=\"28195840\"] \n  24 -> 25 [size =\"28195840\"]\n  25 [size=\"60594176\", alpha=\"0.09\", expect_size=\"30297088\"] \n  25 -> 26 [size =\"30297088\"]\n  25 -> 27 [size =\"30297088\"]\n  26 [size=\"28866560\", alpha=\"0.10\", expect_size=\"14433280\"] \n  26 -> 28 [size =\"14433280\"]\n  26 -> 29 [size =\"14433280\"]\n  27 [size=\"24244224\", alpha=\"0.09\", expect_size=\"12122112\"] \n  27 -> 29 [size =\"12122112\"]\n  28 [size=\"17092608\", alpha=\"0.11\", expect_size=\"8546304\"] \n  28 -> 30 [size =\"8546304\"]\n  28 -> 31 [size =\"8546304\"]\n  29 [size=\"10616832\", alpha=\"0.02\", expect_size=\"5308416\"] \n  29 -> 31 [size =\"5308416\"]\n  30 [size=\"61788160\", alpha=\"0.17\", expect_size=\"30894080\"] \n  30 -> 32 [size =\"30894080\"]\n  31 [size=\"96032768\", alpha=\"0.04\", expect_size=\"48016384\"] \n  32 [size=\"97193984\", alpha=\"0.19\", expect_size=\"48596992\"] \n  32 -> 33 [size =\"48596992\"]\n  32 -> 34 [size =\"48596992\"]\n  33 [size=\"47767552\", alpha=\"0.13\", expect_size=\"23883776\"] \n  33 -> 35 [size =\"23883776\"]\n  34 [size=\"70615040\", alpha=\"0.18\", expect_size=\"35307520\"] \n  34 -> 35 [size =\"35307520\"]\n  35 [size=\"63180800\", alpha=\"0.13\", expect_size=\"31590400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151203840\", alpha=\"0.12\", expect_size=\"45361152\"] \n  1 -> 2 [size =\"45361152\"]\n  2 [size=\"137236480\", alpha=\"0.19\", expect_size=\"41170944\"] \n  2 -> 3 [size =\"41170944\"]\n  3 [size=\"143254187\", alpha=\"0.16\", expect_size=\"42976256\"] \n  3 -> 4 [size =\"42976256\"]\n  4 [size=\"150275413\", alpha=\"0.16\", expect_size=\"45082624\"] \n  4 -> 5 [size =\"45082624\"]\n  5 [size=\"79090347\", alpha=\"0.18\", expect_size=\"23727104\"] \n  5 -> 6 [size =\"23727104\"]\n  6 [size=\"115196587\", alpha=\"0.07\", expect_size=\"34558976\"] \n  6 -> 7 [size =\"34558976\"]\n  7 [size=\"22046720\", alpha=\"0.13\", expect_size=\"6614016\"] \n  7 -> 8 [size =\"6614016\"]\n  8 [size=\"172909227\", alpha=\"0.17\", expect_size=\"51872768\"] \n  8 -> 9 [size =\"51872768\"]\n  9 [size=\"110438400\", alpha=\"0.11\", expect_size=\"33131520\"] \n  9 -> 10 [size =\"33131520\"]\n  10 [size=\"73338880\", alpha=\"0.15\", expect_size=\"22001664\"] \n  10 -> 11 [size =\"22001664\"]\n  11 [size=\"24272213\", alpha=\"0.01\", expect_size=\"7281664\"] \n  11 -> 12 [size =\"7281664\"]\n  12 [size=\"115957760\", alpha=\"0.17\", expect_size=\"34787328\"] \n  12 -> 13 [size =\"34787328\"]\n  13 [size=\"107151360\", alpha=\"0.16\", expect_size=\"32145408\"] \n  13 -> 14 [size =\"32145408\"]\n  14 [size=\"73704107\", alpha=\"0.19\", expect_size=\"22111232\"] \n  14 -> 15 [size =\"22111232\"]\n  15 [size=\"45120853\", alpha=\"0.09\", expect_size=\"13536256\"] \n  15 -> 16 [size =\"13536256\"]\n  16 [size=\"33170773\", alpha=\"0.20\", expect_size=\"9951232\"] \n  16 -> 17 [size =\"9951232\"]\n  17 [size=\"91767467\", alpha=\"0.12\", expect_size=\"27530240\"] \n  17 -> 18 [size =\"27530240\"]\n  18 [size=\"38225920\", alpha=\"0.13\", expect_size=\"11467776\"] \n  18 -> 19 [size =\"11467776\"]\n  19 [size=\"17510400\", alpha=\"0.20\", expect_size=\"5253120\"] \n  19 -> 20 [size =\"5253120\"]\n  20 [size=\"101236053\", alpha=\"0.14\", expect_size=\"30370816\"] \n  20 -> 21 [size =\"30370816\"]\n  21 [size=\"59026773\", alpha=\"0.05\", expect_size=\"17708032\"] \n  21 -> 22 [size =\"17708032\"]\n  22 [size=\"70328320\", alpha=\"0.12\", expect_size=\"21098496\"] \n  22 -> 23 [size =\"21098496\"]\n  23 [size=\"50616320\", alpha=\"0.14\", expect_size=\"15184896\"] \n  23 -> 24 [size =\"15184896\"]\n  24 [size=\"20230827\", alpha=\"0.14\", expect_size=\"6069248\"] \n  24 -> 25 [size =\"6069248\"]\n  25 [size=\"171076267\", alpha=\"0.01\", expect_size=\"51322880\"] \n  25 -> 26 [size =\"51322880\"]\n  26 [size=\"87702187\", alpha=\"0.00\", expect_size=\"26310656\"] \n  26 -> 27 [size =\"26310656\"]\n  27 [size=\"87620267\", alpha=\"0.01\", expect_size=\"26286080\"] \n  27 -> 28 [size =\"26286080\"]\n  28 [size=\"21712213\", alpha=\"0.01\", expect_size=\"6513664\"] \n  28 -> 29 [size =\"6513664\"]\n  29 [size=\"126436693\", alpha=\"0.13\", expect_size=\"37931008\"] \n  29 -> 30 [size =\"37931008\"]\n  30 [size=\"123938133\", alpha=\"0.11\", expect_size=\"37181440\"] \n  30 -> 31 [size =\"37181440\"]\n  31 [size=\"76386987\", alpha=\"0.11\", expect_size=\"22916096\"] \n  31 -> 32 [size =\"22916096\"]\n  32 [size=\"117510827\", alpha=\"0.04\", expect_size=\"35253248\"] \n  32 -> 33 [size =\"35253248\"]\n  33 [size=\"52503893\", alpha=\"0.07\", expect_size=\"15751168\"] \n  33 -> 34 [size =\"15751168\"]\n  34 [size=\"164427093\", alpha=\"0.18\", expect_size=\"49328128\"] \n  34 -> 35 [size =\"49328128\"]\n  35 [size=\"114227200\", alpha=\"0.12\", expect_size=\"34268160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109890560\", alpha=\"0.15\", expect_size=\"43956224\"] \n  1 -> 20 [size =\"43956224\"]\n  1 -> 24 [size =\"43956224\"]\n  1 -> 25 [size =\"43956224\"]\n  1 -> 25 [size =\"43956224\"]\n  1 -> 26 [size =\"43956224\"]\n  1 -> 30 [size =\"43956224\"]\n  1 -> 31 [size =\"43956224\"]\n  2 [size=\"120335360\", alpha=\"0.19\", expect_size=\"48134144\"] \n  2 -> 18 [size =\"48134144\"]\n  2 -> 19 [size =\"48134144\"]\n  2 -> 20 [size =\"48134144\"]\n  2 -> 24 [size =\"48134144\"]\n  2 -> 25 [size =\"48134144\"]\n  2 -> 26 [size =\"48134144\"]\n  2 -> 27 [size =\"48134144\"]\n  2 -> 29 [size =\"48134144\"]\n  2 -> 33 [size =\"48134144\"]\n  3 [size=\"23347200\", alpha=\"0.07\", expect_size=\"9338880\"] \n  3 -> 20 [size =\"9338880\"]\n  3 -> 22 [size =\"9338880\"]\n  3 -> 23 [size =\"9338880\"]\n  3 -> 25 [size =\"9338880\"]\n  3 -> 26 [size =\"9338880\"]\n  3 -> 27 [size =\"9338880\"]\n  3 -> 32 [size =\"9338880\"]\n  3 -> 34 [size =\"9338880\"]\n  4 [size=\"79872000\", alpha=\"0.11\", expect_size=\"31948800\"] \n  4 -> 18 [size =\"31948800\"]\n  4 -> 20 [size =\"31948800\"]\n  4 -> 23 [size =\"31948800\"]\n  4 -> 26 [size =\"31948800\"]\n  4 -> 27 [size =\"31948800\"]\n  4 -> 32 [size =\"31948800\"]\n  5 [size=\"32317440\", alpha=\"0.08\", expect_size=\"12926976\"] \n  5 -> 18 [size =\"12926976\"]\n  5 -> 20 [size =\"12926976\"]\n  5 -> 23 [size =\"12926976\"]\n  5 -> 27 [size =\"12926976\"]\n  5 -> 30 [size =\"12926976\"]\n  5 -> 34 [size =\"12926976\"]\n  6 [size=\"77040640\", alpha=\"0.13\", expect_size=\"30816256\"] \n  6 -> 18 [size =\"30816256\"]\n  6 -> 20 [size =\"30816256\"]\n  6 -> 23 [size =\"30816256\"]\n  6 -> 27 [size =\"30816256\"]\n  6 -> 29 [size =\"30816256\"]\n  6 -> 30 [size =\"30816256\"]\n  6 -> 34 [size =\"30816256\"]\n  7 [size=\"98332160\", alpha=\"0.07\", expect_size=\"39332864\"] \n  7 -> 20 [size =\"39332864\"]\n  7 -> 23 [size =\"39332864\"]\n  7 -> 24 [size =\"39332864\"]\n  7 -> 26 [size =\"39332864\"]\n  7 -> 28 [size =\"39332864\"]\n  7 -> 29 [size =\"39332864\"]\n  7 -> 33 [size =\"39332864\"]\n  7 -> 34 [size =\"39332864\"]\n  8 [size=\"124221440\", alpha=\"0.05\", expect_size=\"49688576\"] \n  8 -> 19 [size =\"49688576\"]\n  8 -> 21 [size =\"49688576\"]\n  8 -> 34 [size =\"49688576\"]\n  8 -> 35 [size =\"49688576\"]\n  9 [size=\"51594240\", alpha=\"0.12\", expect_size=\"20637696\"] \n  9 -> 19 [size =\"20637696\"]\n  9 -> 21 [size =\"20637696\"]\n  9 -> 22 [size =\"20637696\"]\n  9 -> 25 [size =\"20637696\"]\n  9 -> 27 [size =\"20637696\"]\n  9 -> 33 [size =\"20637696\"]\n  10 [size=\"61519360\", alpha=\"0.12\", expect_size=\"24607744\"] \n  10 -> 19 [size =\"24607744\"]\n  10 -> 20 [size =\"24607744\"]\n  10 -> 25 [size =\"24607744\"]\n  10 -> 27 [size =\"24607744\"]\n  10 -> 33 [size =\"24607744\"]\n  11 [size=\"100264960\", alpha=\"0.06\", expect_size=\"40105984\"] \n  11 -> 24 [size =\"40105984\"]\n  11 -> 25 [size =\"40105984\"]\n  11 -> 26 [size =\"40105984\"]\n  11 -> 27 [size =\"40105984\"]\n  11 -> 28 [size =\"40105984\"]\n  11 -> 30 [size =\"40105984\"]\n  11 -> 33 [size =\"40105984\"]\n  11 -> 34 [size =\"40105984\"]\n  12 [size=\"72005120\", alpha=\"0.18\", expect_size=\"28802048\"] \n  12 -> 18 [size =\"28802048\"]\n  12 -> 20 [size =\"28802048\"]\n  12 -> 31 [size =\"28802048\"]\n  12 -> 33 [size =\"28802048\"]\n  12 -> 34 [size =\"28802048\"]\n  13 [size=\"67960320\", alpha=\"0.13\", expect_size=\"27184128\"] \n  13 -> 20 [size =\"27184128\"]\n  13 -> 23 [size =\"27184128\"]\n  13 -> 24 [size =\"27184128\"]\n  13 -> 26 [size =\"27184128\"]\n  13 -> 31 [size =\"27184128\"]\n  13 -> 33 [size =\"27184128\"]\n  14 [size=\"108249600\", alpha=\"0.07\", expect_size=\"43299840\"] \n  14 -> 23 [size =\"43299840\"]\n  14 -> 25 [size =\"43299840\"]\n  14 -> 26 [size =\"43299840\"]\n  14 -> 27 [size =\"43299840\"]\n  14 -> 31 [size =\"43299840\"]\n  15 [size=\"52984320\", alpha=\"0.15\", expect_size=\"21193728\"] \n  15 -> 20 [size =\"21193728\"]\n  15 -> 23 [size =\"21193728\"]\n  15 -> 24 [size =\"21193728\"]\n  15 -> 25 [size =\"21193728\"]\n  15 -> 26 [size =\"21193728\"]\n  15 -> 27 [size =\"21193728\"]\n  15 -> 29 [size =\"21193728\"]\n  15 -> 31 [size =\"21193728\"]\n  15 -> 33 [size =\"21193728\"]\n  15 -> 34 [size =\"21193728\"]\n  15 -> 35 [size =\"21193728\"]\n  16 [size=\"101335040\", alpha=\"0.11\", expect_size=\"40534016\"] \n  16 -> 18 [size =\"40534016\"]\n  16 -> 20 [size =\"40534016\"]\n  16 -> 23 [size =\"40534016\"]\n  16 -> 25 [size =\"40534016\"]\n  16 -> 31 [size =\"40534016\"]\n  16 -> 32 [size =\"40534016\"]\n  16 -> 33 [size =\"40534016\"]\n  16 -> 34 [size =\"40534016\"]\n  17 [size=\"62748160\", alpha=\"0.07\", expect_size=\"25099264\"] \n  17 -> 21 [size =\"25099264\"]\n  17 -> 23 [size =\"25099264\"]\n  17 -> 23 [size =\"25099264\"]\n  17 -> 25 [size =\"25099264\"]\n  17 -> 27 [size =\"25099264\"]\n  17 -> 31 [size =\"25099264\"]\n  17 -> 32 [size =\"25099264\"]\n  18 [size=\"102748160\", alpha=\"0.17\", expect_size=\"41099264\"] \n  19 [size=\"130808320\", alpha=\"0.03\", expect_size=\"52323328\"] \n  20 [size=\"84556800\", alpha=\"0.17\", expect_size=\"33822720\"] \n  21 [size=\"40286720\", alpha=\"0.07\", expect_size=\"16114688\"] \n  22 [size=\"73669120\", alpha=\"0.16\", expect_size=\"29467648\"] \n  23 [size=\"64266240\", alpha=\"0.06\", expect_size=\"25706496\"] \n  24 [size=\"21324800\", alpha=\"0.07\", expect_size=\"8529920\"] \n  25 [size=\"65280000\", alpha=\"0.12\", expect_size=\"26112000\"] \n  26 [size=\"37332480\", alpha=\"0.08\", expect_size=\"14932992\"] \n  27 [size=\"99299840\", alpha=\"0.18\", expect_size=\"39719936\"] \n  28 [size=\"24327680\", alpha=\"0.06\", expect_size=\"9731072\"] \n  29 [size=\"124236800\", alpha=\"0.02\", expect_size=\"49694720\"] \n  30 [size=\"24215040\", alpha=\"0.05\", expect_size=\"9686016\"] \n  31 [size=\"123793920\", alpha=\"0.04\", expect_size=\"49517568\"] \n  32 [size=\"47897600\", alpha=\"0.12\", expect_size=\"19159040\"] \n  33 [size=\"21716480\", alpha=\"0.10\", expect_size=\"8686592\"] \n  34 [size=\"55498240\", alpha=\"0.04\", expect_size=\"22199296\"] \n  35 [size=\"98040320\", alpha=\"0.04\", expect_size=\"39216128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31795200\", alpha=\"0.07\", expect_size=\"12718080\"] \n  1 -> 2 [size =\"12718080\"]\n  2 [size=\"90598400\", alpha=\"0.17\", expect_size=\"36239360\"] \n  2 -> 3 [size =\"36239360\"]\n  3 [size=\"37977600\", alpha=\"0.10\", expect_size=\"15191040\"] \n  3 -> 4 [size =\"15191040\"]\n  4 [size=\"113976320\", alpha=\"0.09\", expect_size=\"45590528\"] \n  4 -> 5 [size =\"45590528\"]\n  5 [size=\"102881280\", alpha=\"0.19\", expect_size=\"41152512\"] \n  5 -> 6 [size =\"41152512\"]\n  6 [size=\"49518080\", alpha=\"0.20\", expect_size=\"19807232\"] \n  6 -> 7 [size =\"19807232\"]\n  7 [size=\"85706240\", alpha=\"0.04\", expect_size=\"34282496\"] \n  7 -> 8 [size =\"34282496\"]\n  8 [size=\"75072000\", alpha=\"0.06\", expect_size=\"30028800\"] \n  8 -> 9 [size =\"30028800\"]\n  9 [size=\"48934400\", alpha=\"0.14\", expect_size=\"19573760\"] \n  9 -> 10 [size =\"19573760\"]\n  10 [size=\"67174400\", alpha=\"0.05\", expect_size=\"26869760\"] \n  10 -> 11 [size =\"26869760\"]\n  11 [size=\"33733120\", alpha=\"0.07\", expect_size=\"13493248\"] \n  11 -> 12 [size =\"13493248\"]\n  12 [size=\"72752640\", alpha=\"0.00\", expect_size=\"29101056\"] \n  12 -> 13 [size =\"29101056\"]\n  13 [size=\"56007680\", alpha=\"0.13\", expect_size=\"22403072\"] \n  13 -> 14 [size =\"22403072\"]\n  14 [size=\"115023360\", alpha=\"0.09\", expect_size=\"46009344\"] \n  14 -> 15 [size =\"46009344\"]\n  15 [size=\"49676800\", alpha=\"0.13\", expect_size=\"19870720\"] \n  15 -> 16 [size =\"19870720\"]\n  16 [size=\"41784320\", alpha=\"0.01\", expect_size=\"16713728\"] \n  16 -> 17 [size =\"16713728\"]\n  17 [size=\"39900160\", alpha=\"0.14\", expect_size=\"15960064\"] \n  17 -> 18 [size =\"15960064\"]\n  18 [size=\"66229760\", alpha=\"0.05\", expect_size=\"26491904\"] \n  18 -> 19 [size =\"26491904\"]\n  19 [size=\"103324160\", alpha=\"0.03\", expect_size=\"41329664\"] \n  19 -> 20 [size =\"41329664\"]\n  20 [size=\"67998720\", alpha=\"0.19\", expect_size=\"27199488\"] \n  20 -> 21 [size =\"27199488\"]\n  21 [size=\"94571520\", alpha=\"0.17\", expect_size=\"37828608\"] \n  21 -> 22 [size =\"37828608\"]\n  22 [size=\"15562240\", alpha=\"0.08\", expect_size=\"6224896\"] \n  22 -> 23 [size =\"6224896\"]\n  23 [size=\"16273920\", alpha=\"0.04\", expect_size=\"6509568\"] \n  23 -> 24 [size =\"6509568\"]\n  24 [size=\"90792960\", alpha=\"0.17\", expect_size=\"36317184\"] \n  24 -> 25 [size =\"36317184\"]\n  25 [size=\"26713600\", alpha=\"0.05\", expect_size=\"10685440\"] \n  25 -> 26 [size =\"10685440\"]\n  26 [size=\"105090560\", alpha=\"0.19\", expect_size=\"42036224\"] \n  26 -> 27 [size =\"42036224\"]\n  27 [size=\"108620800\", alpha=\"0.05\", expect_size=\"43448320\"] \n  27 -> 28 [size =\"43448320\"]\n  28 [size=\"71226880\", alpha=\"0.02\", expect_size=\"28490752\"] \n  28 -> 29 [size =\"28490752\"]\n  29 [size=\"100843520\", alpha=\"0.05\", expect_size=\"40337408\"] \n  29 -> 30 [size =\"40337408\"]\n  30 [size=\"120983040\", alpha=\"0.18\", expect_size=\"48393216\"] \n  30 -> 31 [size =\"48393216\"]\n  31 [size=\"112499200\", alpha=\"0.13\", expect_size=\"44999680\"] \n  31 -> 32 [size =\"44999680\"]\n  32 [size=\"94082560\", alpha=\"0.19\", expect_size=\"37633024\"] \n  32 -> 33 [size =\"37633024\"]\n  33 [size=\"25262080\", alpha=\"0.12\", expect_size=\"10104832\"] \n  33 -> 34 [size =\"10104832\"]\n  34 [size=\"48870400\", alpha=\"0.03\", expect_size=\"19548160\"] \n  34 -> 35 [size =\"19548160\"]\n  35 [size=\"29849600\", alpha=\"0.19\", expect_size=\"11939840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99844096\", alpha=\"0.01\", expect_size=\"49922048\"] \n  1 -> 2 [size =\"49922048\"]\n  2 [size=\"60497920\", alpha=\"0.05\", expect_size=\"30248960\"] \n  2 -> 3 [size =\"30248960\"]\n  3 [size=\"19593216\", alpha=\"0.04\", expect_size=\"9796608\"] \n  3 -> 4 [size =\"9796608\"]\n  4 [size=\"42293248\", alpha=\"0.11\", expect_size=\"21146624\"] \n  4 -> 5 [size =\"21146624\"]\n  5 [size=\"19716096\", alpha=\"0.08\", expect_size=\"9858048\"] \n  5 -> 6 [size =\"9858048\"]\n  6 [size=\"101027840\", alpha=\"0.01\", expect_size=\"50513920\"] \n  6 -> 7 [size =\"50513920\"]\n  7 [size=\"72818688\", alpha=\"0.05\", expect_size=\"36409344\"] \n  7 -> 8 [size =\"36409344\"]\n  8 [size=\"11970560\", alpha=\"0.14\", expect_size=\"5985280\"] \n  8 -> 9 [size =\"5985280\"]\n  9 [size=\"54241280\", alpha=\"0.16\", expect_size=\"27120640\"] \n  9 -> 10 [size =\"27120640\"]\n  10 [size=\"57819136\", alpha=\"0.03\", expect_size=\"28909568\"] \n  10 -> 11 [size =\"28909568\"]\n  11 [size=\"80134144\", alpha=\"0.10\", expect_size=\"40067072\"] \n  11 -> 12 [size =\"40067072\"]\n  12 [size=\"86581248\", alpha=\"0.10\", expect_size=\"43290624\"] \n  12 -> 13 [size =\"43290624\"]\n  13 [size=\"16695296\", alpha=\"0.06\", expect_size=\"8347648\"] \n  13 -> 14 [size =\"8347648\"]\n  14 [size=\"35340288\", alpha=\"0.05\", expect_size=\"17670144\"] \n  14 -> 15 [size =\"17670144\"]\n  15 [size=\"87650304\", alpha=\"0.02\", expect_size=\"43825152\"] \n  15 -> 16 [size =\"43825152\"]\n  16 [size=\"32679936\", alpha=\"0.15\", expect_size=\"16339968\"] \n  16 -> 17 [size =\"16339968\"]\n  17 [size=\"38752256\", alpha=\"0.18\", expect_size=\"19376128\"] \n  17 -> 18 [size =\"19376128\"]\n  18 [size=\"62081024\", alpha=\"0.18\", expect_size=\"31040512\"] \n  18 -> 19 [size =\"31040512\"]\n  19 [size=\"34754560\", alpha=\"0.16\", expect_size=\"17377280\"] \n  19 -> 20 [size =\"17377280\"]\n  20 [size=\"16363520\", alpha=\"0.20\", expect_size=\"8181760\"] \n  20 -> 21 [size =\"8181760\"]\n  21 [size=\"29427712\", alpha=\"0.03\", expect_size=\"14713856\"] \n  21 -> 22 [size =\"14713856\"]\n  22 [size=\"75405312\", alpha=\"0.16\", expect_size=\"37702656\"] \n  22 -> 23 [size =\"37702656\"]\n  23 [size=\"29167616\", alpha=\"0.11\", expect_size=\"14583808\"] \n  23 -> 24 [size =\"14583808\"]\n  24 [size=\"57237504\", alpha=\"0.13\", expect_size=\"28618752\"] \n  24 -> 25 [size =\"28618752\"]\n  25 [size=\"81446912\", alpha=\"0.17\", expect_size=\"40723456\"] \n  25 -> 26 [size =\"40723456\"]\n  26 [size=\"92184576\", alpha=\"0.00\", expect_size=\"46092288\"] \n  26 -> 27 [size =\"46092288\"]\n  27 [size=\"69390336\", alpha=\"0.16\", expect_size=\"34695168\"] \n  27 -> 28 [size =\"34695168\"]\n  28 [size=\"61374464\", alpha=\"0.13\", expect_size=\"30687232\"] \n  28 -> 29 [size =\"30687232\"]\n  29 [size=\"50536448\", alpha=\"0.19\", expect_size=\"25268224\"] \n  29 -> 30 [size =\"25268224\"]\n  30 [size=\"32606208\", alpha=\"0.15\", expect_size=\"16303104\"] \n  30 -> 31 [size =\"16303104\"]\n  31 [size=\"32385024\", alpha=\"0.06\", expect_size=\"16192512\"] \n  31 -> 32 [size =\"16192512\"]\n  32 [size=\"44861440\", alpha=\"0.12\", expect_size=\"22430720\"] \n  32 -> 33 [size =\"22430720\"]\n  33 [size=\"25675776\", alpha=\"0.01\", expect_size=\"12837888\"] \n  33 -> 34 [size =\"12837888\"]\n  34 [size=\"78309376\", alpha=\"0.14\", expect_size=\"39154688\"] \n  34 -> 35 [size =\"39154688\"]\n  35 [size=\"45826048\", alpha=\"0.04\", expect_size=\"22913024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38549504\", alpha=\"0.02\", expect_size=\"19274752\"] \n  1 -> 6 [size =\"19274752\"]\n  1 -> 7 [size =\"19274752\"]\n  1 -> 8 [size =\"19274752\"]\n  1 -> 9 [size =\"19274752\"]\n  2 [size=\"67393536\", alpha=\"0.17\", expect_size=\"33696768\"] \n  2 -> 6 [size =\"33696768\"]\n  2 -> 7 [size =\"33696768\"]\n  2 -> 8 [size =\"33696768\"]\n  2 -> 9 [size =\"33696768\"]\n  3 [size=\"26763264\", alpha=\"0.13\", expect_size=\"13381632\"] \n  3 -> 6 [size =\"13381632\"]\n  3 -> 10 [size =\"13381632\"]\n  4 [size=\"99928064\", alpha=\"0.04\", expect_size=\"49964032\"] \n  5 [size=\"53641216\", alpha=\"0.03\", expect_size=\"26820608\"] \n  5 -> 7 [size =\"26820608\"]\n  5 -> 8 [size =\"26820608\"]\n  5 -> 9 [size =\"26820608\"]\n  6 [size=\"37306368\", alpha=\"0.17\", expect_size=\"18653184\"] \n  6 -> 13 [size =\"18653184\"]\n  6 -> 15 [size =\"18653184\"]\n  6 -> 16 [size =\"18653184\"]\n  7 [size=\"83056640\", alpha=\"0.03\", expect_size=\"41528320\"] \n  8 [size=\"69496832\", alpha=\"0.20\", expect_size=\"34748416\"] \n  8 -> 11 [size =\"34748416\"]\n  8 -> 12 [size =\"34748416\"]\n  8 -> 13 [size =\"34748416\"]\n  8 -> 14 [size =\"34748416\"]\n  8 -> 16 [size =\"34748416\"]\n  9 [size=\"35772416\", alpha=\"0.17\", expect_size=\"17886208\"] \n  9 -> 11 [size =\"17886208\"]\n  9 -> 13 [size =\"17886208\"]\n  9 -> 14 [size =\"17886208\"]\n  9 -> 15 [size =\"17886208\"]\n  10 [size=\"41625600\", alpha=\"0.18\", expect_size=\"20812800\"] \n  10 -> 12 [size =\"20812800\"]\n  10 -> 13 [size =\"20812800\"]\n  10 -> 16 [size =\"20812800\"]\n  11 [size=\"11896832\", alpha=\"0.15\", expect_size=\"5948416\"] \n  11 -> 17 [size =\"5948416\"]\n  11 -> 20 [size =\"5948416\"]\n  11 -> 21 [size =\"5948416\"]\n  12 [size=\"21299200\", alpha=\"0.01\", expect_size=\"10649600\"] \n  12 -> 18 [size =\"10649600\"]\n  12 -> 21 [size =\"10649600\"]\n  12 -> 22 [size =\"10649600\"]\n  13 [size=\"102547456\", alpha=\"0.07\", expect_size=\"51273728\"] \n  13 -> 20 [size =\"51273728\"]\n  13 -> 22 [size =\"51273728\"]\n  14 [size=\"68960256\", alpha=\"0.02\", expect_size=\"34480128\"] \n  14 -> 17 [size =\"34480128\"]\n  14 -> 20 [size =\"34480128\"]\n  15 [size=\"88709120\", alpha=\"0.08\", expect_size=\"44354560\"] \n  15 -> 17 [size =\"44354560\"]\n  15 -> 18 [size =\"44354560\"]\n  15 -> 19 [size =\"44354560\"]\n  15 -> 21 [size =\"44354560\"]\n  16 [size=\"101478400\", alpha=\"0.11\", expect_size=\"50739200\"] \n  16 -> 17 [size =\"50739200\"]\n  16 -> 19 [size =\"50739200\"]\n  16 -> 20 [size =\"50739200\"]\n  16 -> 21 [size =\"50739200\"]\n  16 -> 22 [size =\"50739200\"]\n  17 [size=\"87128064\", alpha=\"0.09\", expect_size=\"43564032\"] \n  18 [size=\"103510016\", alpha=\"0.16\", expect_size=\"51755008\"] \n  18 -> 23 [size =\"51755008\"]\n  18 -> 25 [size =\"51755008\"]\n  19 [size=\"102381568\", alpha=\"0.01\", expect_size=\"51190784\"] \n  19 -> 23 [size =\"51190784\"]\n  19 -> 24 [size =\"51190784\"]\n  19 -> 25 [size =\"51190784\"]\n  20 [size=\"86900736\", alpha=\"0.05\", expect_size=\"43450368\"] \n  20 -> 23 [size =\"43450368\"]\n  20 -> 25 [size =\"43450368\"]\n  21 [size=\"77541376\", alpha=\"0.14\", expect_size=\"38770688\"] \n  21 -> 23 [size =\"38770688\"]\n  21 -> 24 [size =\"38770688\"]\n  22 [size=\"56244224\", alpha=\"0.16\", expect_size=\"28122112\"] \n  23 [size=\"59129856\", alpha=\"0.02\", expect_size=\"29564928\"] \n  23 -> 26 [size =\"29564928\"]\n  23 -> 28 [size =\"29564928\"]\n  24 [size=\"89808896\", alpha=\"0.06\", expect_size=\"44904448\"] \n  24 -> 26 [size =\"44904448\"]\n  24 -> 27 [size =\"44904448\"]\n  24 -> 28 [size =\"44904448\"]\n  24 -> 31 [size =\"44904448\"]\n  25 [size=\"98957312\", alpha=\"0.19\", expect_size=\"49478656\"] \n  25 -> 29 [size =\"49478656\"]\n  25 -> 30 [size =\"49478656\"]\n  26 [size=\"40325120\", alpha=\"0.18\", expect_size=\"20162560\"] \n  26 -> 34 [size =\"20162560\"]\n  27 [size=\"92459008\", alpha=\"0.13\", expect_size=\"46229504\"] \n  27 -> 32 [size =\"46229504\"]\n  27 -> 34 [size =\"46229504\"]\n  28 [size=\"40028160\", alpha=\"0.20\", expect_size=\"20014080\"] \n  29 [size=\"22679552\", alpha=\"0.12\", expect_size=\"11339776\"] \n  29 -> 32 [size =\"11339776\"]\n  29 -> 33 [size =\"11339776\"]\n  30 [size=\"26497024\", alpha=\"0.11\", expect_size=\"13248512\"] \n  30 -> 32 [size =\"13248512\"]\n  30 -> 33 [size =\"13248512\"]\n  30 -> 34 [size =\"13248512\"]\n  31 [size=\"48404480\", alpha=\"0.10\", expect_size=\"24202240\"] \n  31 -> 33 [size =\"24202240\"]\n  31 -> 33 [size =\"24202240\"]\n  31 -> 34 [size =\"24202240\"]\n  32 [size=\"22093824\", alpha=\"0.12\", expect_size=\"11046912\"] \n  33 [size=\"98844672\", alpha=\"0.13\", expect_size=\"49422336\"] \n  33 -> 35 [size =\"49422336\"]\n  34 [size=\"11825152\", alpha=\"0.06\", expect_size=\"5912576\"] \n  34 -> 35 [size =\"5912576\"]\n  35 [size=\"39217152\", alpha=\"0.16\", expect_size=\"19608576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22587392\", alpha=\"0.13\", expect_size=\"11293696\"] \n  1 -> 2 [size =\"11293696\"]\n  2 [size=\"48107520\", alpha=\"0.03\", expect_size=\"24053760\"] \n  2 -> 3 [size =\"24053760\"]\n  3 [size=\"58761216\", alpha=\"0.14\", expect_size=\"29380608\"] \n  3 -> 4 [size =\"29380608\"]\n  4 [size=\"101928960\", alpha=\"0.08\", expect_size=\"50964480\"] \n  4 -> 5 [size =\"50964480\"]\n  5 [size=\"54603776\", alpha=\"0.11\", expect_size=\"27301888\"] \n  5 -> 6 [size =\"27301888\"]\n  6 [size=\"56686592\", alpha=\"0.19\", expect_size=\"28343296\"] \n  6 -> 7 [size =\"28343296\"]\n  7 [size=\"12091392\", alpha=\"0.11\", expect_size=\"6045696\"] \n  7 -> 8 [size =\"6045696\"]\n  8 [size=\"86628352\", alpha=\"0.16\", expect_size=\"43314176\"] \n  8 -> 9 [size =\"43314176\"]\n  9 [size=\"24145920\", alpha=\"0.07\", expect_size=\"12072960\"] \n  9 -> 10 [size =\"12072960\"]\n  10 [size=\"11331584\", alpha=\"0.18\", expect_size=\"5665792\"] \n  10 -> 11 [size =\"5665792\"]\n  11 [size=\"44017664\", alpha=\"0.07\", expect_size=\"22008832\"] \n  11 -> 12 [size =\"22008832\"]\n  12 [size=\"103096320\", alpha=\"0.13\", expect_size=\"51548160\"] \n  12 -> 13 [size =\"51548160\"]\n  13 [size=\"23836672\", alpha=\"0.09\", expect_size=\"11918336\"] \n  13 -> 14 [size =\"11918336\"]\n  14 [size=\"90705920\", alpha=\"0.07\", expect_size=\"45352960\"] \n  14 -> 15 [size =\"45352960\"]\n  15 [size=\"35018752\", alpha=\"0.04\", expect_size=\"17509376\"] \n  15 -> 16 [size =\"17509376\"]\n  16 [size=\"87257088\", alpha=\"0.13\", expect_size=\"43628544\"] \n  16 -> 17 [size =\"43628544\"]\n  17 [size=\"80318464\", alpha=\"0.03\", expect_size=\"40159232\"] \n  17 -> 18 [size =\"40159232\"]\n  18 [size=\"36818944\", alpha=\"0.16\", expect_size=\"18409472\"] \n  18 -> 19 [size =\"18409472\"]\n  19 [size=\"17770496\", alpha=\"0.13\", expect_size=\"8885248\"] \n  19 -> 20 [size =\"8885248\"]\n  20 [size=\"53071872\", alpha=\"0.15\", expect_size=\"26535936\"] \n  20 -> 21 [size =\"26535936\"]\n  21 [size=\"43921408\", alpha=\"0.19\", expect_size=\"21960704\"] \n  21 -> 22 [size =\"21960704\"]\n  22 [size=\"75599872\", alpha=\"0.12\", expect_size=\"37799936\"] \n  22 -> 23 [size =\"37799936\"]\n  23 [size=\"44500992\", alpha=\"0.14\", expect_size=\"22250496\"] \n  23 -> 24 [size =\"22250496\"]\n  24 [size=\"84613120\", alpha=\"0.16\", expect_size=\"42306560\"] \n  24 -> 25 [size =\"42306560\"]\n  25 [size=\"21125120\", alpha=\"0.07\", expect_size=\"10562560\"] \n  25 -> 26 [size =\"10562560\"]\n  26 [size=\"39669760\", alpha=\"0.08\", expect_size=\"19834880\"] \n  26 -> 27 [size =\"19834880\"]\n  27 [size=\"101677056\", alpha=\"0.10\", expect_size=\"50838528\"] \n  27 -> 28 [size =\"50838528\"]\n  28 [size=\"19732480\", alpha=\"0.07\", expect_size=\"9866240\"] \n  28 -> 29 [size =\"9866240\"]\n  29 [size=\"93382656\", alpha=\"0.08\", expect_size=\"46691328\"] \n  29 -> 30 [size =\"46691328\"]\n  30 [size=\"61798400\", alpha=\"0.08\", expect_size=\"30899200\"] \n  30 -> 31 [size =\"30899200\"]\n  31 [size=\"38400000\", alpha=\"0.16\", expect_size=\"19200000\"] \n  31 -> 32 [size =\"19200000\"]\n  32 [size=\"35289088\", alpha=\"0.03\", expect_size=\"17644544\"] \n  32 -> 33 [size =\"17644544\"]\n  33 [size=\"90091520\", alpha=\"0.13\", expect_size=\"45045760\"] \n  33 -> 34 [size =\"45045760\"]\n  34 [size=\"62337024\", alpha=\"0.00\", expect_size=\"31168512\"] \n  34 -> 35 [size =\"31168512\"]\n  35 [size=\"43472896\", alpha=\"0.13\", expect_size=\"21736448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95221760\", alpha=\"0.15\", expect_size=\"28566528\"] \n  2 [size=\"109806933\", alpha=\"0.12\", expect_size=\"32942080\"] \n  2 -> 3 [size =\"32942080\"]\n  3 [size=\"122565973\", alpha=\"0.18\", expect_size=\"36769792\"] \n  3 -> 4 [size =\"36769792\"]\n  4 [size=\"147892907\", alpha=\"0.04\", expect_size=\"44367872\"] \n  4 -> 5 [size =\"44367872\"]\n  4 -> 6 [size =\"44367872\"]\n  5 [size=\"157661867\", alpha=\"0.19\", expect_size=\"47298560\"] \n  5 -> 8 [size =\"47298560\"]\n  6 [size=\"134014293\", alpha=\"0.17\", expect_size=\"40204288\"] \n  6 -> 7 [size =\"40204288\"]\n  7 [size=\"58255360\", alpha=\"0.20\", expect_size=\"17476608\"] \n  8 [size=\"97522347\", alpha=\"0.11\", expect_size=\"29256704\"] \n  8 -> 9 [size =\"29256704\"]\n  8 -> 10 [size =\"29256704\"]\n  9 [size=\"119237973\", alpha=\"0.08\", expect_size=\"35771392\"] \n  9 -> 11 [size =\"35771392\"]\n  9 -> 12 [size =\"35771392\"]\n  10 [size=\"41243307\", alpha=\"0.05\", expect_size=\"12372992\"] \n  11 [size=\"79970987\", alpha=\"0.14\", expect_size=\"23991296\"] \n  11 -> 14 [size =\"23991296\"]\n  12 [size=\"43547307\", alpha=\"0.20\", expect_size=\"13064192\"] \n  12 -> 13 [size =\"13064192\"]\n  13 [size=\"139192320\", alpha=\"0.11\", expect_size=\"41757696\"] \n  13 -> 15 [size =\"41757696\"]\n  14 [size=\"120483840\", alpha=\"0.16\", expect_size=\"36145152\"] \n  14 -> 16 [size =\"36145152\"]\n  15 [size=\"148217173\", alpha=\"0.15\", expect_size=\"44465152\"] \n  16 [size=\"144264533\", alpha=\"0.03\", expect_size=\"43279360\"] \n  16 -> 17 [size =\"43279360\"]\n  16 -> 18 [size =\"43279360\"]\n  17 [size=\"119149227\", alpha=\"0.06\", expect_size=\"35744768\"] \n  17 -> 19 [size =\"35744768\"]\n  18 [size=\"115712000\", alpha=\"0.16\", expect_size=\"34713600\"] \n  19 [size=\"44376747\", alpha=\"0.18\", expect_size=\"13313024\"] \n  19 -> 20 [size =\"13313024\"]\n  20 [size=\"109981013\", alpha=\"0.11\", expect_size=\"32994304\"] \n  20 -> 21 [size =\"32994304\"]\n  21 [size=\"153019733\", alpha=\"0.14\", expect_size=\"45905920\"] \n  21 -> 22 [size =\"45905920\"]\n  21 -> 23 [size =\"45905920\"]\n  22 [size=\"108946773\", alpha=\"0.09\", expect_size=\"32684032\"] \n  23 [size=\"106434560\", alpha=\"0.17\", expect_size=\"31930368\"] \n  23 -> 24 [size =\"31930368\"]\n  24 [size=\"31897600\", alpha=\"0.02\", expect_size=\"9569280\"] \n  24 -> 25 [size =\"9569280\"]\n  24 -> 26 [size =\"9569280\"]\n  25 [size=\"160092160\", alpha=\"0.05\", expect_size=\"48027648\"] \n  26 [size=\"117770240\", alpha=\"0.02\", expect_size=\"35331072\"] \n  26 -> 27 [size =\"35331072\"]\n  26 -> 28 [size =\"35331072\"]\n  27 [size=\"141981013\", alpha=\"0.05\", expect_size=\"42594304\"] \n  27 -> 30 [size =\"42594304\"]\n  28 [size=\"29822293\", alpha=\"0.18\", expect_size=\"8946688\"] \n  28 -> 29 [size =\"8946688\"]\n  29 [size=\"152285867\", alpha=\"0.04\", expect_size=\"45685760\"] \n  29 -> 31 [size =\"45685760\"]\n  30 [size=\"136560640\", alpha=\"0.12\", expect_size=\"40968192\"] \n  30 -> 32 [size =\"40968192\"]\n  31 [size=\"67727360\", alpha=\"0.09\", expect_size=\"20318208\"] \n  31 -> 33 [size =\"20318208\"]\n  32 [size=\"23531520\", alpha=\"0.09\", expect_size=\"7059456\"] \n  32 -> 34 [size =\"7059456\"]\n  33 [size=\"96307200\", alpha=\"0.05\", expect_size=\"28892160\"] \n  34 [size=\"76571307\", alpha=\"0.13\", expect_size=\"22971392\"] \n  34 -> 35 [size =\"22971392\"]\n  35 [size=\"94750720\", alpha=\"0.19\", expect_size=\"28425216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115619840\", alpha=\"0.11\", expect_size=\"46247936\"] \n  1 -> 5 [size =\"46247936\"]\n  1 -> 6 [size =\"46247936\"]\n  1 -> 8 [size =\"46247936\"]\n  2 [size=\"30696960\", alpha=\"0.02\", expect_size=\"12278784\"] \n  2 -> 5 [size =\"12278784\"]\n  2 -> 8 [size =\"12278784\"]\n  3 [size=\"76147200\", alpha=\"0.00\", expect_size=\"30458880\"] \n  3 -> 7 [size =\"30458880\"]\n  3 -> 8 [size =\"30458880\"]\n  4 [size=\"120453120\", alpha=\"0.07\", expect_size=\"48181248\"] \n  5 [size=\"81761280\", alpha=\"0.10\", expect_size=\"32704512\"] \n  5 -> 9 [size =\"32704512\"]\n  5 -> 11 [size =\"32704512\"]\n  5 -> 12 [size =\"32704512\"]\n  6 [size=\"15618560\", alpha=\"0.20\", expect_size=\"6247424\"] \n  6 -> 11 [size =\"6247424\"]\n  6 -> 12 [size =\"6247424\"]\n  7 [size=\"75525120\", alpha=\"0.19\", expect_size=\"30210048\"] \n  7 -> 10 [size =\"30210048\"]\n  8 [size=\"75033600\", alpha=\"0.02\", expect_size=\"30013440\"] \n  8 -> 9 [size =\"30013440\"]\n  8 -> 12 [size =\"30013440\"]\n  8 -> 13 [size =\"30013440\"]\n  9 [size=\"34895360\", alpha=\"0.05\", expect_size=\"13958144\"] \n  10 [size=\"68162560\", alpha=\"0.14\", expect_size=\"27265024\"] \n  10 -> 17 [size =\"27265024\"]\n  11 [size=\"82091520\", alpha=\"0.06\", expect_size=\"32836608\"] \n  11 -> 14 [size =\"32836608\"]\n  11 -> 16 [size =\"32836608\"]\n  11 -> 17 [size =\"32836608\"]\n  12 [size=\"30164480\", alpha=\"0.10\", expect_size=\"12065792\"] \n  12 -> 15 [size =\"12065792\"]\n  13 [size=\"42524160\", alpha=\"0.14\", expect_size=\"17009664\"] \n  13 -> 14 [size =\"17009664\"]\n  13 -> 16 [size =\"17009664\"]\n  14 [size=\"44026880\", alpha=\"0.17\", expect_size=\"17610752\"] \n  15 [size=\"87308800\", alpha=\"0.04\", expect_size=\"34923520\"] \n  16 [size=\"26176000\", alpha=\"0.07\", expect_size=\"10470400\"] \n  16 -> 18 [size =\"10470400\"]\n  16 -> 19 [size =\"10470400\"]\n  16 -> 20 [size =\"10470400\"]\n  16 -> 21 [size =\"10470400\"]\n  17 [size=\"25333760\", alpha=\"0.11\", expect_size=\"10133504\"] \n  17 -> 18 [size =\"10133504\"]\n  17 -> 19 [size =\"10133504\"]\n  17 -> 20 [size =\"10133504\"]\n  18 [size=\"21447680\", alpha=\"0.04\", expect_size=\"8579072\"] \n  18 -> 24 [size =\"8579072\"]\n  18 -> 25 [size =\"8579072\"]\n  19 [size=\"30914560\", alpha=\"0.02\", expect_size=\"12365824\"] \n  19 -> 22 [size =\"12365824\"]\n  19 -> 23 [size =\"12365824\"]\n  20 [size=\"58887680\", alpha=\"0.05\", expect_size=\"23555072\"] \n  21 [size=\"21276160\", alpha=\"0.05\", expect_size=\"8510464\"] \n  21 -> 24 [size =\"8510464\"]\n  21 -> 25 [size =\"8510464\"]\n  22 [size=\"59543040\", alpha=\"0.08\", expect_size=\"23817216\"] \n  22 -> 26 [size =\"23817216\"]\n  22 -> 28 [size =\"23817216\"]\n  23 [size=\"116203520\", alpha=\"0.02\", expect_size=\"46481408\"] \n  24 [size=\"80279040\", alpha=\"0.13\", expect_size=\"32111616\"] \n  24 -> 27 [size =\"32111616\"]\n  25 [size=\"63029760\", alpha=\"0.17\", expect_size=\"25211904\"] \n  25 -> 26 [size =\"25211904\"]\n  25 -> 27 [size =\"25211904\"]\n  25 -> 29 [size =\"25211904\"]\n  26 [size=\"84244480\", alpha=\"0.01\", expect_size=\"33697792\"] \n  27 [size=\"128192000\", alpha=\"0.15\", expect_size=\"51276800\"] \n  27 -> 30 [size =\"51276800\"]\n  27 -> 32 [size =\"51276800\"]\n  28 [size=\"76789760\", alpha=\"0.00\", expect_size=\"30715904\"] \n  29 [size=\"101969920\", alpha=\"0.09\", expect_size=\"40787968\"] \n  29 -> 31 [size =\"40787968\"]\n  29 -> 33 [size =\"40787968\"]\n  30 [size=\"116410880\", alpha=\"0.07\", expect_size=\"46564352\"] \n  30 -> 35 [size =\"46564352\"]\n  31 [size=\"28162560\", alpha=\"0.17\", expect_size=\"11265024\"] \n  31 -> 35 [size =\"11265024\"]\n  32 [size=\"57699840\", alpha=\"0.09\", expect_size=\"23079936\"] \n  32 -> 34 [size =\"23079936\"]\n  32 -> 35 [size =\"23079936\"]\n  33 [size=\"104650240\", alpha=\"0.07\", expect_size=\"41860096\"] \n  33 -> 34 [size =\"41860096\"]\n  34 [size=\"114086400\", alpha=\"0.10\", expect_size=\"45634560\"] \n  35 [size=\"75394560\", alpha=\"0.05\", expect_size=\"30157824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75138560\", alpha=\"0.05\", expect_size=\"30055424\"] \n  2 [size=\"100439040\", alpha=\"0.13\", expect_size=\"40175616\"] \n  2 -> 3 [size =\"40175616\"]\n  3 [size=\"122944000\", alpha=\"0.18\", expect_size=\"49177600\"] \n  3 -> 4 [size =\"49177600\"]\n  4 [size=\"26790400\", alpha=\"0.11\", expect_size=\"10716160\"] \n  4 -> 5 [size =\"10716160\"]\n  4 -> 6 [size =\"10716160\"]\n  5 [size=\"78958080\", alpha=\"0.09\", expect_size=\"31583232\"] \n  5 -> 7 [size =\"31583232\"]\n  5 -> 8 [size =\"31583232\"]\n  6 [size=\"23288320\", alpha=\"0.08\", expect_size=\"9315328\"] \n  7 [size=\"86702080\", alpha=\"0.19\", expect_size=\"34680832\"] \n  7 -> 9 [size =\"34680832\"]\n  7 -> 10 [size =\"34680832\"]\n  8 [size=\"47313920\", alpha=\"0.08\", expect_size=\"18925568\"] \n  9 [size=\"19461120\", alpha=\"0.07\", expect_size=\"7784448\"] \n  9 -> 11 [size =\"7784448\"]\n  9 -> 12 [size =\"7784448\"]\n  10 [size=\"88281600\", alpha=\"0.14\", expect_size=\"35312640\"] \n  11 [size=\"86840320\", alpha=\"0.08\", expect_size=\"34736128\"] \n  11 -> 13 [size =\"34736128\"]\n  12 [size=\"114977280\", alpha=\"0.08\", expect_size=\"45990912\"] \n  12 -> 13 [size =\"45990912\"]\n  12 -> 14 [size =\"45990912\"]\n  13 [size=\"74798080\", alpha=\"0.06\", expect_size=\"29919232\"] \n  13 -> 16 [size =\"29919232\"]\n  14 [size=\"61409280\", alpha=\"0.02\", expect_size=\"24563712\"] \n  14 -> 15 [size =\"24563712\"]\n  15 [size=\"127797760\", alpha=\"0.03\", expect_size=\"51119104\"] \n  15 -> 17 [size =\"51119104\"]\n  15 -> 18 [size =\"51119104\"]\n  16 [size=\"64744960\", alpha=\"0.19\", expect_size=\"25897984\"] \n  17 [size=\"113292800\", alpha=\"0.09\", expect_size=\"45317120\"] \n  17 -> 19 [size =\"45317120\"]\n  17 -> 20 [size =\"45317120\"]\n  18 [size=\"107919360\", alpha=\"0.17\", expect_size=\"43167744\"] \n  18 -> 20 [size =\"43167744\"]\n  19 [size=\"38561280\", alpha=\"0.07\", expect_size=\"15424512\"] \n  19 -> 22 [size =\"15424512\"]\n  20 [size=\"82595840\", alpha=\"0.09\", expect_size=\"33038336\"] \n  20 -> 21 [size =\"33038336\"]\n  21 [size=\"44776960\", alpha=\"0.00\", expect_size=\"17910784\"] \n  21 -> 23 [size =\"17910784\"]\n  22 [size=\"89863680\", alpha=\"0.07\", expect_size=\"35945472\"] \n  23 [size=\"16517120\", alpha=\"0.12\", expect_size=\"6606848\"] \n  23 -> 24 [size =\"6606848\"]\n  23 -> 25 [size =\"6606848\"]\n  24 [size=\"54005760\", alpha=\"0.20\", expect_size=\"21602304\"] \n  25 [size=\"65666560\", alpha=\"0.19\", expect_size=\"26266624\"] \n  25 -> 26 [size =\"26266624\"]\n  26 [size=\"83412480\", alpha=\"0.19\", expect_size=\"33364992\"] \n  26 -> 27 [size =\"33364992\"]\n  26 -> 28 [size =\"33364992\"]\n  27 [size=\"75412480\", alpha=\"0.12\", expect_size=\"30164992\"] \n  27 -> 29 [size =\"30164992\"]\n  28 [size=\"128576000\", alpha=\"0.11\", expect_size=\"51430400\"] \n  28 -> 30 [size =\"51430400\"]\n  29 [size=\"112281600\", alpha=\"0.10\", expect_size=\"44912640\"] \n  29 -> 31 [size =\"44912640\"]\n  29 -> 32 [size =\"44912640\"]\n  30 [size=\"38154240\", alpha=\"0.03\", expect_size=\"15261696\"] \n  31 [size=\"89464320\", alpha=\"0.08\", expect_size=\"35785728\"] \n  31 -> 33 [size =\"35785728\"]\n  32 [size=\"92316160\", alpha=\"0.10\", expect_size=\"36926464\"] \n  32 -> 33 [size =\"36926464\"]\n  33 [size=\"16076800\", alpha=\"0.03\", expect_size=\"6430720\"] \n  33 -> 34 [size =\"6430720\"]\n  33 -> 35 [size =\"6430720\"]\n  34 [size=\"88550400\", alpha=\"0.04\", expect_size=\"35420160\"] \n  35 [size=\"87493120\", alpha=\"0.04\", expect_size=\"34997248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45717504\", alpha=\"0.18\", expect_size=\"22858752\"] \n  1 -> 23 [size =\"22858752\"]\n  1 -> 28 [size =\"22858752\"]\n  1 -> 29 [size =\"22858752\"]\n  1 -> 31 [size =\"22858752\"]\n  1 -> 32 [size =\"22858752\"]\n  1 -> 33 [size =\"22858752\"]\n  1 -> 34 [size =\"22858752\"]\n  1 -> 35 [size =\"22858752\"]\n  2 [size=\"26437632\", alpha=\"0.03\", expect_size=\"13218816\"] \n  2 -> 27 [size =\"13218816\"]\n  2 -> 32 [size =\"13218816\"]\n  2 -> 33 [size =\"13218816\"]\n  2 -> 34 [size =\"13218816\"]\n  2 -> 35 [size =\"13218816\"]\n  3 [size=\"43008000\", alpha=\"0.04\", expect_size=\"21504000\"] \n  3 -> 22 [size =\"21504000\"]\n  3 -> 24 [size =\"21504000\"]\n  3 -> 35 [size =\"21504000\"]\n  4 [size=\"77770752\", alpha=\"0.17\", expect_size=\"38885376\"] \n  4 -> 23 [size =\"38885376\"]\n  4 -> 24 [size =\"38885376\"]\n  4 -> 27 [size =\"38885376\"]\n  4 -> 29 [size =\"38885376\"]\n  4 -> 34 [size =\"38885376\"]\n  4 -> 35 [size =\"38885376\"]\n  5 [size=\"17836032\", alpha=\"0.09\", expect_size=\"8918016\"] \n  5 -> 22 [size =\"8918016\"]\n  5 -> 23 [size =\"8918016\"]\n  5 -> 27 [size =\"8918016\"]\n  5 -> 28 [size =\"8918016\"]\n  5 -> 29 [size =\"8918016\"]\n  5 -> 35 [size =\"8918016\"]\n  6 [size=\"17821696\", alpha=\"0.06\", expect_size=\"8910848\"] \n  6 -> 23 [size =\"8910848\"]\n  6 -> 23 [size =\"8910848\"]\n  6 -> 26 [size =\"8910848\"]\n  6 -> 27 [size =\"8910848\"]\n  6 -> 29 [size =\"8910848\"]\n  6 -> 32 [size =\"8910848\"]\n  6 -> 33 [size =\"8910848\"]\n  6 -> 35 [size =\"8910848\"]\n  7 [size=\"26120192\", alpha=\"0.13\", expect_size=\"13060096\"] \n  7 -> 22 [size =\"13060096\"]\n  7 -> 27 [size =\"13060096\"]\n  7 -> 29 [size =\"13060096\"]\n  7 -> 35 [size =\"13060096\"]\n  8 [size=\"55502848\", alpha=\"0.12\", expect_size=\"27751424\"] \n  8 -> 22 [size =\"27751424\"]\n  8 -> 27 [size =\"27751424\"]\n  8 -> 28 [size =\"27751424\"]\n  9 [size=\"90163200\", alpha=\"0.01\", expect_size=\"45081600\"] \n  9 -> 27 [size =\"45081600\"]\n  9 -> 27 [size =\"45081600\"]\n  9 -> 32 [size =\"45081600\"]\n  9 -> 33 [size =\"45081600\"]\n  9 -> 34 [size =\"45081600\"]\n  10 [size=\"32794624\", alpha=\"0.09\", expect_size=\"16397312\"] \n  10 -> 27 [size =\"16397312\"]\n  10 -> 31 [size =\"16397312\"]\n  10 -> 34 [size =\"16397312\"]\n  11 [size=\"58009600\", alpha=\"0.10\", expect_size=\"29004800\"] \n  11 -> 27 [size =\"29004800\"]\n  11 -> 31 [size =\"29004800\"]\n  11 -> 32 [size =\"29004800\"]\n  11 -> 34 [size =\"29004800\"]\n  11 -> 35 [size =\"29004800\"]\n  12 [size=\"48070656\", alpha=\"0.03\", expect_size=\"24035328\"] \n  12 -> 22 [size =\"24035328\"]\n  12 -> 23 [size =\"24035328\"]\n  12 -> 28 [size =\"24035328\"]\n  12 -> 32 [size =\"24035328\"]\n  12 -> 33 [size =\"24035328\"]\n  12 -> 34 [size =\"24035328\"]\n  12 -> 35 [size =\"24035328\"]\n  13 [size=\"59936768\", alpha=\"0.17\", expect_size=\"29968384\"] \n  13 -> 23 [size =\"29968384\"]\n  13 -> 25 [size =\"29968384\"]\n  13 -> 27 [size =\"29968384\"]\n  13 -> 29 [size =\"29968384\"]\n  13 -> 31 [size =\"29968384\"]\n  13 -> 32 [size =\"29968384\"]\n  13 -> 34 [size =\"29968384\"]\n  13 -> 35 [size =\"29968384\"]\n  14 [size=\"77172736\", alpha=\"0.12\", expect_size=\"38586368\"] \n  14 -> 22 [size =\"38586368\"]\n  14 -> 24 [size =\"38586368\"]\n  14 -> 26 [size =\"38586368\"]\n  14 -> 27 [size =\"38586368\"]\n  14 -> 28 [size =\"38586368\"]\n  14 -> 31 [size =\"38586368\"]\n  14 -> 32 [size =\"38586368\"]\n  14 -> 34 [size =\"38586368\"]\n  14 -> 35 [size =\"38586368\"]\n  15 [size=\"64374784\", alpha=\"0.10\", expect_size=\"32187392\"] \n  15 -> 22 [size =\"32187392\"]\n  15 -> 27 [size =\"32187392\"]\n  15 -> 29 [size =\"32187392\"]\n  15 -> 31 [size =\"32187392\"]\n  15 -> 32 [size =\"32187392\"]\n  15 -> 33 [size =\"32187392\"]\n  15 -> 34 [size =\"32187392\"]\n  15 -> 34 [size =\"32187392\"]\n  15 -> 35 [size =\"32187392\"]\n  16 [size=\"11788288\", alpha=\"0.04\", expect_size=\"5894144\"] \n  16 -> 22 [size =\"5894144\"]\n  16 -> 27 [size =\"5894144\"]\n  16 -> 30 [size =\"5894144\"]\n  16 -> 31 [size =\"5894144\"]\n  16 -> 32 [size =\"5894144\"]\n  16 -> 35 [size =\"5894144\"]\n  17 [size=\"40720384\", alpha=\"0.10\", expect_size=\"20360192\"] \n  17 -> 22 [size =\"20360192\"]\n  17 -> 27 [size =\"20360192\"]\n  17 -> 29 [size =\"20360192\"]\n  17 -> 31 [size =\"20360192\"]\n  17 -> 32 [size =\"20360192\"]\n  17 -> 34 [size =\"20360192\"]\n  17 -> 35 [size =\"20360192\"]\n  18 [size=\"100925440\", alpha=\"0.18\", expect_size=\"50462720\"] \n  18 -> 27 [size =\"50462720\"]\n  18 -> 27 [size =\"50462720\"]\n  18 -> 29 [size =\"50462720\"]\n  18 -> 31 [size =\"50462720\"]\n  18 -> 32 [size =\"50462720\"]\n  18 -> 34 [size =\"50462720\"]\n  18 -> 35 [size =\"50462720\"]\n  19 [size=\"64137216\", alpha=\"0.15\", expect_size=\"32068608\"] \n  19 -> 22 [size =\"32068608\"]\n  19 -> 27 [size =\"32068608\"]\n  19 -> 29 [size =\"32068608\"]\n  19 -> 31 [size =\"32068608\"]\n  19 -> 32 [size =\"32068608\"]\n  19 -> 34 [size =\"32068608\"]\n  19 -> 35 [size =\"32068608\"]\n  20 [size=\"69957632\", alpha=\"0.15\", expect_size=\"34978816\"] \n  20 -> 22 [size =\"34978816\"]\n  20 -> 27 [size =\"34978816\"]\n  20 -> 29 [size =\"34978816\"]\n  20 -> 31 [size =\"34978816\"]\n  20 -> 32 [size =\"34978816\"]\n  20 -> 34 [size =\"34978816\"]\n  20 -> 35 [size =\"34978816\"]\n  21 [size=\"18251776\", alpha=\"0.02\", expect_size=\"9125888\"] \n  21 -> 26 [size =\"9125888\"]\n  21 -> 29 [size =\"9125888\"]\n  21 -> 29 [size =\"9125888\"]\n  21 -> 31 [size =\"9125888\"]\n  21 -> 32 [size =\"9125888\"]\n  21 -> 33 [size =\"9125888\"]\n  21 -> 34 [size =\"9125888\"]\n  21 -> 35 [size =\"9125888\"]\n  22 [size=\"64667648\", alpha=\"0.13\", expect_size=\"32333824\"] \n  23 [size=\"79394816\", alpha=\"0.11\", expect_size=\"39697408\"] \n  24 [size=\"66523136\", alpha=\"0.03\", expect_size=\"33261568\"] \n  25 [size=\"30492672\", alpha=\"0.16\", expect_size=\"15246336\"] \n  26 [size=\"76918784\", alpha=\"0.11\", expect_size=\"38459392\"] \n  27 [size=\"93587456\", alpha=\"0.10\", expect_size=\"46793728\"] \n  28 [size=\"44380160\", alpha=\"0.18\", expect_size=\"22190080\"] \n  29 [size=\"37105664\", alpha=\"0.02\", expect_size=\"18552832\"] \n  30 [size=\"12636160\", alpha=\"0.12\", expect_size=\"6318080\"] \n  31 [size=\"82372608\", alpha=\"0.12\", expect_size=\"41186304\"] \n  32 [size=\"92803072\", alpha=\"0.19\", expect_size=\"46401536\"] \n  33 [size=\"59879424\", alpha=\"0.17\", expect_size=\"29939712\"] \n  34 [size=\"16128000\", alpha=\"0.09\", expect_size=\"8064000\"] \n  35 [size=\"28831744\", alpha=\"0.13\", expect_size=\"14415872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46970880\", alpha=\"0.11\", expect_size=\"23485440\"] \n  1 -> 8 [size =\"23485440\"]\n  2 [size=\"16963584\", alpha=\"0.11\", expect_size=\"8481792\"] \n  2 -> 5 [size =\"8481792\"]\n  2 -> 6 [size =\"8481792\"]\n  2 -> 8 [size =\"8481792\"]\n  3 [size=\"39403520\", alpha=\"0.12\", expect_size=\"19701760\"] \n  3 -> 5 [size =\"19701760\"]\n  3 -> 7 [size =\"19701760\"]\n  4 [size=\"18675712\", alpha=\"0.06\", expect_size=\"9337856\"] \n  5 [size=\"50941952\", alpha=\"0.05\", expect_size=\"25470976\"] \n  5 -> 12 [size =\"25470976\"]\n  5 -> 13 [size =\"25470976\"]\n  6 [size=\"50561024\", alpha=\"0.06\", expect_size=\"25280512\"] \n  6 -> 10 [size =\"25280512\"]\n  6 -> 11 [size =\"25280512\"]\n  6 -> 13 [size =\"25280512\"]\n  7 [size=\"32487424\", alpha=\"0.18\", expect_size=\"16243712\"] \n  7 -> 10 [size =\"16243712\"]\n  8 [size=\"34848768\", alpha=\"0.19\", expect_size=\"17424384\"] \n  8 -> 9 [size =\"17424384\"]\n  9 [size=\"33204224\", alpha=\"0.05\", expect_size=\"16602112\"] \n  9 -> 14 [size =\"16602112\"]\n  9 -> 16 [size =\"16602112\"]\n  9 -> 17 [size =\"16602112\"]\n  10 [size=\"44066816\", alpha=\"0.19\", expect_size=\"22033408\"] \n  10 -> 16 [size =\"22033408\"]\n  10 -> 16 [size =\"22033408\"]\n  11 [size=\"40345600\", alpha=\"0.03\", expect_size=\"20172800\"] \n  11 -> 17 [size =\"20172800\"]\n  12 [size=\"91535360\", alpha=\"0.03\", expect_size=\"45767680\"] \n  12 -> 14 [size =\"45767680\"]\n  13 [size=\"50722816\", alpha=\"0.19\", expect_size=\"25361408\"] \n  13 -> 14 [size =\"25361408\"]\n  13 -> 15 [size =\"25361408\"]\n  13 -> 17 [size =\"25361408\"]\n  14 [size=\"14268416\", alpha=\"0.02\", expect_size=\"7134208\"] \n  14 -> 21 [size =\"7134208\"]\n  15 [size=\"44374016\", alpha=\"0.13\", expect_size=\"22187008\"] \n  15 -> 18 [size =\"22187008\"]\n  15 -> 20 [size =\"22187008\"]\n  16 [size=\"66021376\", alpha=\"0.05\", expect_size=\"33010688\"] \n  16 -> 18 [size =\"33010688\"]\n  16 -> 19 [size =\"33010688\"]\n  16 -> 20 [size =\"33010688\"]\n  16 -> 21 [size =\"33010688\"]\n  17 [size=\"92053504\", alpha=\"0.01\", expect_size=\"46026752\"] \n  17 -> 19 [size =\"46026752\"]\n  18 [size=\"80588800\", alpha=\"0.18\", expect_size=\"40294400\"] \n  18 -> 22 [size =\"40294400\"]\n  18 -> 24 [size =\"40294400\"]\n  19 [size=\"78221312\", alpha=\"0.20\", expect_size=\"39110656\"] \n  19 -> 23 [size =\"39110656\"]\n  19 -> 25 [size =\"39110656\"]\n  20 [size=\"101015552\", alpha=\"0.09\", expect_size=\"50507776\"] \n  20 -> 24 [size =\"50507776\"]\n  21 [size=\"97460224\", alpha=\"0.06\", expect_size=\"48730112\"] \n  21 -> 23 [size =\"48730112\"]\n  21 -> 25 [size =\"48730112\"]\n  22 [size=\"19154944\", alpha=\"0.04\", expect_size=\"9577472\"] \n  22 -> 27 [size =\"9577472\"]\n  22 -> 29 [size =\"9577472\"]\n  23 [size=\"32962560\", alpha=\"0.09\", expect_size=\"16481280\"] \n  23 -> 26 [size =\"16481280\"]\n  24 [size=\"29425664\", alpha=\"0.15\", expect_size=\"14712832\"] \n  24 -> 27 [size =\"14712832\"]\n  24 -> 28 [size =\"14712832\"]\n  25 [size=\"39407616\", alpha=\"0.10\", expect_size=\"19703808\"] \n  25 -> 29 [size =\"19703808\"]\n  26 [size=\"102217728\", alpha=\"0.14\", expect_size=\"51108864\"] \n  27 [size=\"31875072\", alpha=\"0.02\", expect_size=\"15937536\"] \n  27 -> 30 [size =\"15937536\"]\n  27 -> 33 [size =\"15937536\"]\n  28 [size=\"34371584\", alpha=\"0.15\", expect_size=\"17185792\"] \n  28 -> 31 [size =\"17185792\"]\n  29 [size=\"25995264\", alpha=\"0.13\", expect_size=\"12997632\"] \n  29 -> 31 [size =\"12997632\"]\n  29 -> 32 [size =\"12997632\"]\n  29 -> 33 [size =\"12997632\"]\n  29 -> 34 [size =\"12997632\"]\n  30 [size=\"24379392\", alpha=\"0.18\", expect_size=\"12189696\"] \n  31 [size=\"66752512\", alpha=\"0.09\", expect_size=\"33376256\"] \n  32 [size=\"95227904\", alpha=\"0.18\", expect_size=\"47613952\"] \n  32 -> 35 [size =\"47613952\"]\n  33 [size=\"21913600\", alpha=\"0.15\", expect_size=\"10956800\"] \n  33 -> 35 [size =\"10956800\"]\n  34 [size=\"64468992\", alpha=\"0.13\", expect_size=\"32234496\"] \n  34 -> 35 [size =\"32234496\"]\n  35 [size=\"42340352\", alpha=\"0.18\", expect_size=\"21170176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82286080\", alpha=\"0.13\", expect_size=\"32914432\"] \n  1 -> 20 [size =\"32914432\"]\n  1 -> 22 [size =\"32914432\"]\n  1 -> 24 [size =\"32914432\"]\n  1 -> 25 [size =\"32914432\"]\n  1 -> 27 [size =\"32914432\"]\n  1 -> 28 [size =\"32914432\"]\n  1 -> 31 [size =\"32914432\"]\n  1 -> 32 [size =\"32914432\"]\n  1 -> 33 [size =\"32914432\"]\n  1 -> 35 [size =\"32914432\"]\n  2 [size=\"19617280\", alpha=\"0.16\", expect_size=\"7846912\"] \n  2 -> 20 [size =\"7846912\"]\n  2 -> 24 [size =\"7846912\"]\n  2 -> 26 [size =\"7846912\"]\n  2 -> 32 [size =\"7846912\"]\n  2 -> 33 [size =\"7846912\"]\n  2 -> 34 [size =\"7846912\"]\n  3 [size=\"21342720\", alpha=\"0.14\", expect_size=\"8537088\"] \n  3 -> 20 [size =\"8537088\"]\n  3 -> 22 [size =\"8537088\"]\n  3 -> 24 [size =\"8537088\"]\n  3 -> 30 [size =\"8537088\"]\n  3 -> 32 [size =\"8537088\"]\n  3 -> 33 [size =\"8537088\"]\n  3 -> 35 [size =\"8537088\"]\n  4 [size=\"56076800\", alpha=\"0.01\", expect_size=\"22430720\"] \n  4 -> 20 [size =\"22430720\"]\n  4 -> 21 [size =\"22430720\"]\n  4 -> 22 [size =\"22430720\"]\n  4 -> 27 [size =\"22430720\"]\n  4 -> 28 [size =\"22430720\"]\n  4 -> 29 [size =\"22430720\"]\n  4 -> 30 [size =\"22430720\"]\n  4 -> 31 [size =\"22430720\"]\n  4 -> 32 [size =\"22430720\"]\n  4 -> 33 [size =\"22430720\"]\n  5 [size=\"18831360\", alpha=\"0.03\", expect_size=\"7532544\"] \n  5 -> 20 [size =\"7532544\"]\n  5 -> 21 [size =\"7532544\"]\n  5 -> 22 [size =\"7532544\"]\n  5 -> 24 [size =\"7532544\"]\n  5 -> 27 [size =\"7532544\"]\n  5 -> 29 [size =\"7532544\"]\n  5 -> 30 [size =\"7532544\"]\n  5 -> 31 [size =\"7532544\"]\n  5 -> 32 [size =\"7532544\"]\n  5 -> 33 [size =\"7532544\"]\n  6 [size=\"88560640\", alpha=\"0.19\", expect_size=\"35424256\"] \n  6 -> 22 [size =\"35424256\"]\n  6 -> 26 [size =\"35424256\"]\n  6 -> 27 [size =\"35424256\"]\n  6 -> 28 [size =\"35424256\"]\n  6 -> 30 [size =\"35424256\"]\n  6 -> 31 [size =\"35424256\"]\n  6 -> 32 [size =\"35424256\"]\n  6 -> 33 [size =\"35424256\"]\n  7 [size=\"126425600\", alpha=\"0.19\", expect_size=\"50570240\"] \n  7 -> 20 [size =\"50570240\"]\n  7 -> 22 [size =\"50570240\"]\n  7 -> 23 [size =\"50570240\"]\n  7 -> 24 [size =\"50570240\"]\n  7 -> 25 [size =\"50570240\"]\n  7 -> 27 [size =\"50570240\"]\n  7 -> 28 [size =\"50570240\"]\n  7 -> 30 [size =\"50570240\"]\n  7 -> 31 [size =\"50570240\"]\n  7 -> 32 [size =\"50570240\"]\n  7 -> 33 [size =\"50570240\"]\n  8 [size=\"68290560\", alpha=\"0.11\", expect_size=\"27316224\"] \n  8 -> 20 [size =\"27316224\"]\n  8 -> 22 [size =\"27316224\"]\n  8 -> 24 [size =\"27316224\"]\n  8 -> 27 [size =\"27316224\"]\n  8 -> 29 [size =\"27316224\"]\n  8 -> 32 [size =\"27316224\"]\n  8 -> 33 [size =\"27316224\"]\n  8 -> 35 [size =\"27316224\"]\n  9 [size=\"94574080\", alpha=\"0.19\", expect_size=\"37829632\"] \n  9 -> 20 [size =\"37829632\"]\n  9 -> 21 [size =\"37829632\"]\n  9 -> 22 [size =\"37829632\"]\n  9 -> 25 [size =\"37829632\"]\n  9 -> 27 [size =\"37829632\"]\n  9 -> 28 [size =\"37829632\"]\n  9 -> 31 [size =\"37829632\"]\n  9 -> 32 [size =\"37829632\"]\n  9 -> 33 [size =\"37829632\"]\n  10 [size=\"13122560\", alpha=\"0.05\", expect_size=\"5249024\"] \n  10 -> 20 [size =\"5249024\"]\n  10 -> 21 [size =\"5249024\"]\n  10 -> 22 [size =\"5249024\"]\n  10 -> 24 [size =\"5249024\"]\n  10 -> 27 [size =\"5249024\"]\n  10 -> 30 [size =\"5249024\"]\n  10 -> 31 [size =\"5249024\"]\n  10 -> 32 [size =\"5249024\"]\n  10 -> 33 [size =\"5249024\"]\n  10 -> 34 [size =\"5249024\"]\n  10 -> 35 [size =\"5249024\"]\n  11 [size=\"121751040\", alpha=\"0.12\", expect_size=\"48700416\"] \n  11 -> 20 [size =\"48700416\"]\n  11 -> 21 [size =\"48700416\"]\n  11 -> 22 [size =\"48700416\"]\n  11 -> 24 [size =\"48700416\"]\n  11 -> 27 [size =\"48700416\"]\n  11 -> 28 [size =\"48700416\"]\n  11 -> 30 [size =\"48700416\"]\n  11 -> 32 [size =\"48700416\"]\n  11 -> 33 [size =\"48700416\"]\n  12 [size=\"78392320\", alpha=\"0.04\", expect_size=\"31356928\"] \n  12 -> 21 [size =\"31356928\"]\n  12 -> 26 [size =\"31356928\"]\n  12 -> 27 [size =\"31356928\"]\n  12 -> 30 [size =\"31356928\"]\n  12 -> 32 [size =\"31356928\"]\n  12 -> 34 [size =\"31356928\"]\n  12 -> 35 [size =\"31356928\"]\n  13 [size=\"55733760\", alpha=\"0.05\", expect_size=\"22293504\"] \n  13 -> 20 [size =\"22293504\"]\n  13 -> 21 [size =\"22293504\"]\n  13 -> 22 [size =\"22293504\"]\n  13 -> 24 [size =\"22293504\"]\n  13 -> 25 [size =\"22293504\"]\n  13 -> 29 [size =\"22293504\"]\n  13 -> 31 [size =\"22293504\"]\n  13 -> 32 [size =\"22293504\"]\n  13 -> 33 [size =\"22293504\"]\n  14 [size=\"23075840\", alpha=\"0.12\", expect_size=\"9230336\"] \n  14 -> 20 [size =\"9230336\"]\n  14 -> 22 [size =\"9230336\"]\n  14 -> 24 [size =\"9230336\"]\n  14 -> 28 [size =\"9230336\"]\n  14 -> 29 [size =\"9230336\"]\n  14 -> 33 [size =\"9230336\"]\n  14 -> 34 [size =\"9230336\"]\n  15 [size=\"31900160\", alpha=\"0.17\", expect_size=\"12760064\"] \n  15 -> 21 [size =\"12760064\"]\n  15 -> 22 [size =\"12760064\"]\n  15 -> 24 [size =\"12760064\"]\n  15 -> 25 [size =\"12760064\"]\n  15 -> 27 [size =\"12760064\"]\n  15 -> 29 [size =\"12760064\"]\n  15 -> 31 [size =\"12760064\"]\n  15 -> 34 [size =\"12760064\"]\n  16 [size=\"52357120\", alpha=\"0.06\", expect_size=\"20942848\"] \n  16 -> 20 [size =\"20942848\"]\n  16 -> 21 [size =\"20942848\"]\n  16 -> 22 [size =\"20942848\"]\n  16 -> 24 [size =\"20942848\"]\n  16 -> 25 [size =\"20942848\"]\n  16 -> 27 [size =\"20942848\"]\n  16 -> 29 [size =\"20942848\"]\n  16 -> 33 [size =\"20942848\"]\n  16 -> 34 [size =\"20942848\"]\n  17 [size=\"47562240\", alpha=\"0.17\", expect_size=\"19024896\"] \n  17 -> 20 [size =\"19024896\"]\n  17 -> 22 [size =\"19024896\"]\n  17 -> 25 [size =\"19024896\"]\n  17 -> 27 [size =\"19024896\"]\n  17 -> 29 [size =\"19024896\"]\n  17 -> 32 [size =\"19024896\"]\n  17 -> 33 [size =\"19024896\"]\n  17 -> 34 [size =\"19024896\"]\n  18 [size=\"42378240\", alpha=\"0.04\", expect_size=\"16951296\"] \n  18 -> 20 [size =\"16951296\"]\n  18 -> 21 [size =\"16951296\"]\n  18 -> 22 [size =\"16951296\"]\n  18 -> 24 [size =\"16951296\"]\n  18 -> 25 [size =\"16951296\"]\n  18 -> 27 [size =\"16951296\"]\n  18 -> 28 [size =\"16951296\"]\n  18 -> 29 [size =\"16951296\"]\n  18 -> 33 [size =\"16951296\"]\n  18 -> 34 [size =\"16951296\"]\n  19 [size=\"105610240\", alpha=\"0.06\", expect_size=\"42244096\"] \n  19 -> 20 [size =\"42244096\"]\n  19 -> 22 [size =\"42244096\"]\n  19 -> 24 [size =\"42244096\"]\n  19 -> 24 [size =\"42244096\"]\n  19 -> 25 [size =\"42244096\"]\n  19 -> 27 [size =\"42244096\"]\n  19 -> 28 [size =\"42244096\"]\n  19 -> 30 [size =\"42244096\"]\n  19 -> 31 [size =\"42244096\"]\n  19 -> 32 [size =\"42244096\"]\n  19 -> 33 [size =\"42244096\"]\n  19 -> 34 [size =\"42244096\"]\n  19 -> 35 [size =\"42244096\"]\n  20 [size=\"98836480\", alpha=\"0.06\", expect_size=\"39534592\"] \n  21 [size=\"130577920\", alpha=\"0.17\", expect_size=\"52231168\"] \n  22 [size=\"82490880\", alpha=\"0.10\", expect_size=\"32996352\"] \n  23 [size=\"106608640\", alpha=\"0.03\", expect_size=\"42643456\"] \n  24 [size=\"18759680\", alpha=\"0.05\", expect_size=\"7503872\"] \n  25 [size=\"91973120\", alpha=\"0.07\", expect_size=\"36789248\"] \n  26 [size=\"73052160\", alpha=\"0.01\", expect_size=\"29220864\"] \n  27 [size=\"109061120\", alpha=\"0.16\", expect_size=\"43624448\"] \n  28 [size=\"89466880\", alpha=\"0.19\", expect_size=\"35786752\"] \n  29 [size=\"114030080\", alpha=\"0.16\", expect_size=\"45612032\"] \n  30 [size=\"34014720\", alpha=\"0.13\", expect_size=\"13605888\"] \n  31 [size=\"69404160\", alpha=\"0.09\", expect_size=\"27761664\"] \n  32 [size=\"53452800\", alpha=\"0.16\", expect_size=\"21381120\"] \n  33 [size=\"110630400\", alpha=\"0.10\", expect_size=\"44252160\"] \n  34 [size=\"13250560\", alpha=\"0.05\", expect_size=\"5300224\"] \n  35 [size=\"40212480\", alpha=\"0.04\", expect_size=\"16084992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50790400\", alpha=\"0.13\", expect_size=\"25395200\"] \n  1 -> 23 [size =\"25395200\"]\n  1 -> 26 [size =\"25395200\"]\n  1 -> 28 [size =\"25395200\"]\n  1 -> 29 [size =\"25395200\"]\n  1 -> 32 [size =\"25395200\"]\n  1 -> 34 [size =\"25395200\"]\n  2 [size=\"43728896\", alpha=\"0.11\", expect_size=\"21864448\"] \n  2 -> 30 [size =\"21864448\"]\n  2 -> 33 [size =\"21864448\"]\n  2 -> 34 [size =\"21864448\"]\n  2 -> 35 [size =\"21864448\"]\n  3 [size=\"29333504\", alpha=\"0.07\", expect_size=\"14666752\"] \n  3 -> 25 [size =\"14666752\"]\n  3 -> 27 [size =\"14666752\"]\n  3 -> 30 [size =\"14666752\"]\n  3 -> 31 [size =\"14666752\"]\n  3 -> 35 [size =\"14666752\"]\n  4 [size=\"47478784\", alpha=\"0.13\", expect_size=\"23739392\"] \n  4 -> 25 [size =\"23739392\"]\n  4 -> 31 [size =\"23739392\"]\n  4 -> 34 [size =\"23739392\"]\n  5 [size=\"24510464\", alpha=\"0.05\", expect_size=\"12255232\"] \n  5 -> 25 [size =\"12255232\"]\n  5 -> 27 [size =\"12255232\"]\n  5 -> 28 [size =\"12255232\"]\n  5 -> 32 [size =\"12255232\"]\n  6 [size=\"17410048\", alpha=\"0.20\", expect_size=\"8705024\"] \n  6 -> 25 [size =\"8705024\"]\n  6 -> 28 [size =\"8705024\"]\n  6 -> 29 [size =\"8705024\"]\n  6 -> 32 [size =\"8705024\"]\n  6 -> 35 [size =\"8705024\"]\n  7 [size=\"92624896\", alpha=\"0.15\", expect_size=\"46312448\"] \n  7 -> 23 [size =\"46312448\"]\n  7 -> 25 [size =\"46312448\"]\n  7 -> 26 [size =\"46312448\"]\n  7 -> 28 [size =\"46312448\"]\n  7 -> 32 [size =\"46312448\"]\n  7 -> 34 [size =\"46312448\"]\n  7 -> 35 [size =\"46312448\"]\n  8 [size=\"75378688\", alpha=\"0.14\", expect_size=\"37689344\"] \n  8 -> 23 [size =\"37689344\"]\n  8 -> 24 [size =\"37689344\"]\n  8 -> 26 [size =\"37689344\"]\n  8 -> 28 [size =\"37689344\"]\n  8 -> 30 [size =\"37689344\"]\n  8 -> 35 [size =\"37689344\"]\n  8 -> 35 [size =\"37689344\"]\n  9 [size=\"34025472\", alpha=\"0.16\", expect_size=\"17012736\"] \n  9 -> 26 [size =\"17012736\"]\n  10 [size=\"61618176\", alpha=\"0.00\", expect_size=\"30809088\"] \n  10 -> 23 [size =\"30809088\"]\n  10 -> 26 [size =\"30809088\"]\n  11 [size=\"76201984\", alpha=\"0.16\", expect_size=\"38100992\"] \n  11 -> 23 [size =\"38100992\"]\n  11 -> 29 [size =\"38100992\"]\n  11 -> 32 [size =\"38100992\"]\n  11 -> 35 [size =\"38100992\"]\n  12 [size=\"41121792\", alpha=\"0.04\", expect_size=\"20560896\"] \n  12 -> 23 [size =\"20560896\"]\n  12 -> 28 [size =\"20560896\"]\n  12 -> 31 [size =\"20560896\"]\n  12 -> 32 [size =\"20560896\"]\n  12 -> 34 [size =\"20560896\"]\n  13 [size=\"93526016\", alpha=\"0.01\", expect_size=\"46763008\"] \n  13 -> 25 [size =\"46763008\"]\n  13 -> 26 [size =\"46763008\"]\n  13 -> 35 [size =\"46763008\"]\n  14 [size=\"33101824\", alpha=\"0.02\", expect_size=\"16550912\"] \n  14 -> 23 [size =\"16550912\"]\n  14 -> 28 [size =\"16550912\"]\n  15 [size=\"92932096\", alpha=\"0.18\", expect_size=\"46466048\"] \n  15 -> 25 [size =\"46466048\"]\n  15 -> 26 [size =\"46466048\"]\n  15 -> 30 [size =\"46466048\"]\n  15 -> 32 [size =\"46466048\"]\n  16 [size=\"24190976\", alpha=\"0.01\", expect_size=\"12095488\"] \n  16 -> 26 [size =\"12095488\"]\n  16 -> 32 [size =\"12095488\"]\n  16 -> 33 [size =\"12095488\"]\n  16 -> 35 [size =\"12095488\"]\n  17 [size=\"23685120\", alpha=\"0.00\", expect_size=\"11842560\"] \n  17 -> 25 [size =\"11842560\"]\n  17 -> 26 [size =\"11842560\"]\n  17 -> 27 [size =\"11842560\"]\n  17 -> 32 [size =\"11842560\"]\n  18 [size=\"93739008\", alpha=\"0.09\", expect_size=\"46869504\"] \n  18 -> 23 [size =\"46869504\"]\n  18 -> 25 [size =\"46869504\"]\n  18 -> 28 [size =\"46869504\"]\n  18 -> 32 [size =\"46869504\"]\n  18 -> 35 [size =\"46869504\"]\n  19 [size=\"64811008\", alpha=\"0.13\", expect_size=\"32405504\"] \n  19 -> 24 [size =\"32405504\"]\n  19 -> 34 [size =\"32405504\"]\n  20 [size=\"44935168\", alpha=\"0.02\", expect_size=\"22467584\"] \n  20 -> 23 [size =\"22467584\"]\n  20 -> 25 [size =\"22467584\"]\n  20 -> 32 [size =\"22467584\"]\n  20 -> 35 [size =\"22467584\"]\n  21 [size=\"47032320\", alpha=\"0.19\", expect_size=\"23516160\"] \n  21 -> 23 [size =\"23516160\"]\n  21 -> 26 [size =\"23516160\"]\n  22 [size=\"30050304\", alpha=\"0.03\", expect_size=\"15025152\"] \n  22 -> 23 [size =\"15025152\"]\n  22 -> 26 [size =\"15025152\"]\n  23 [size=\"46919680\", alpha=\"0.11\", expect_size=\"23459840\"] \n  24 [size=\"52891648\", alpha=\"0.07\", expect_size=\"26445824\"] \n  25 [size=\"62535680\", alpha=\"0.06\", expect_size=\"31267840\"] \n  26 [size=\"54222848\", alpha=\"0.06\", expect_size=\"27111424\"] \n  27 [size=\"59977728\", alpha=\"0.04\", expect_size=\"29988864\"] \n  28 [size=\"60891136\", alpha=\"0.16\", expect_size=\"30445568\"] \n  29 [size=\"103659520\", alpha=\"0.12\", expect_size=\"51829760\"] \n  30 [size=\"70836224\", alpha=\"0.20\", expect_size=\"35418112\"] \n  31 [size=\"78403584\", alpha=\"0.01\", expect_size=\"39201792\"] \n  32 [size=\"72300544\", alpha=\"0.09\", expect_size=\"36150272\"] \n  33 [size=\"85766144\", alpha=\"0.14\", expect_size=\"42883072\"] \n  34 [size=\"43278336\", alpha=\"0.05\", expect_size=\"21639168\"] \n  35 [size=\"76204032\", alpha=\"0.12\", expect_size=\"38102016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46897152\", alpha=\"0.10\", expect_size=\"23448576\"] \n  1 -> 2 [size =\"23448576\"]\n  2 [size=\"84690944\", alpha=\"0.04\", expect_size=\"42345472\"] \n  2 -> 3 [size =\"42345472\"]\n  3 [size=\"60631040\", alpha=\"0.17\", expect_size=\"30315520\"] \n  3 -> 4 [size =\"30315520\"]\n  4 [size=\"77801472\", alpha=\"0.00\", expect_size=\"38900736\"] \n  4 -> 5 [size =\"38900736\"]\n  5 [size=\"81657856\", alpha=\"0.17\", expect_size=\"40828928\"] \n  5 -> 6 [size =\"40828928\"]\n  6 [size=\"14467072\", alpha=\"0.10\", expect_size=\"7233536\"] \n  6 -> 7 [size =\"7233536\"]\n  7 [size=\"49154048\", alpha=\"0.17\", expect_size=\"24577024\"] \n  7 -> 8 [size =\"24577024\"]\n  8 [size=\"49293312\", alpha=\"0.07\", expect_size=\"24646656\"] \n  8 -> 9 [size =\"24646656\"]\n  9 [size=\"14901248\", alpha=\"0.01\", expect_size=\"7450624\"] \n  9 -> 10 [size =\"7450624\"]\n  10 [size=\"31885312\", alpha=\"0.19\", expect_size=\"15942656\"] \n  10 -> 11 [size =\"15942656\"]\n  11 [size=\"45545472\", alpha=\"0.08\", expect_size=\"22772736\"] \n  11 -> 12 [size =\"22772736\"]\n  12 [size=\"90867712\", alpha=\"0.19\", expect_size=\"45433856\"] \n  12 -> 13 [size =\"45433856\"]\n  13 [size=\"15556608\", alpha=\"0.15\", expect_size=\"7778304\"] \n  13 -> 14 [size =\"7778304\"]\n  14 [size=\"97818624\", alpha=\"0.01\", expect_size=\"48909312\"] \n  14 -> 15 [size =\"48909312\"]\n  15 [size=\"98934784\", alpha=\"0.11\", expect_size=\"49467392\"] \n  15 -> 16 [size =\"49467392\"]\n  16 [size=\"86300672\", alpha=\"0.02\", expect_size=\"43150336\"] \n  16 -> 17 [size =\"43150336\"]\n  17 [size=\"39661568\", alpha=\"0.08\", expect_size=\"19830784\"] \n  17 -> 18 [size =\"19830784\"]\n  18 [size=\"24776704\", alpha=\"0.17\", expect_size=\"12388352\"] \n  18 -> 19 [size =\"12388352\"]\n  19 [size=\"57823232\", alpha=\"0.08\", expect_size=\"28911616\"] \n  19 -> 20 [size =\"28911616\"]\n  20 [size=\"63913984\", alpha=\"0.17\", expect_size=\"31956992\"] \n  20 -> 21 [size =\"31956992\"]\n  21 [size=\"61204480\", alpha=\"0.13\", expect_size=\"30602240\"] \n  21 -> 22 [size =\"30602240\"]\n  22 [size=\"96661504\", alpha=\"0.05\", expect_size=\"48330752\"] \n  22 -> 23 [size =\"48330752\"]\n  23 [size=\"93085696\", alpha=\"0.08\", expect_size=\"46542848\"] \n  23 -> 24 [size =\"46542848\"]\n  24 [size=\"68366336\", alpha=\"0.05\", expect_size=\"34183168\"] \n  24 -> 25 [size =\"34183168\"]\n  25 [size=\"72865792\", alpha=\"0.17\", expect_size=\"36432896\"] \n  25 -> 26 [size =\"36432896\"]\n  26 [size=\"28325888\", alpha=\"0.10\", expect_size=\"14162944\"] \n  26 -> 27 [size =\"14162944\"]\n  27 [size=\"39364608\", alpha=\"0.11\", expect_size=\"19682304\"] \n  27 -> 28 [size =\"19682304\"]\n  28 [size=\"79020032\", alpha=\"0.01\", expect_size=\"39510016\"] \n  28 -> 29 [size =\"39510016\"]\n  29 [size=\"63813632\", alpha=\"0.11\", expect_size=\"31906816\"] \n  29 -> 30 [size =\"31906816\"]\n  30 [size=\"100818944\", alpha=\"0.06\", expect_size=\"50409472\"] \n  30 -> 31 [size =\"50409472\"]\n  31 [size=\"84645888\", alpha=\"0.08\", expect_size=\"42322944\"] \n  31 -> 32 [size =\"42322944\"]\n  32 [size=\"51705856\", alpha=\"0.08\", expect_size=\"25852928\"] \n  32 -> 33 [size =\"25852928\"]\n  33 [size=\"76206080\", alpha=\"0.08\", expect_size=\"38103040\"] \n  33 -> 34 [size =\"38103040\"]\n  34 [size=\"19550208\", alpha=\"0.07\", expect_size=\"9775104\"] \n  34 -> 35 [size =\"9775104\"]\n  35 [size=\"43423744\", alpha=\"0.05\", expect_size=\"21711872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30281728\", alpha=\"0.05\", expect_size=\"15140864\"] \n  1 -> 2 [size =\"15140864\"]\n  2 [size=\"76646400\", alpha=\"0.03\", expect_size=\"38323200\"] \n  2 -> 3 [size =\"38323200\"]\n  3 [size=\"101660672\", alpha=\"0.12\", expect_size=\"50830336\"] \n  3 -> 4 [size =\"50830336\"]\n  4 [size=\"81553408\", alpha=\"0.14\", expect_size=\"40776704\"] \n  4 -> 5 [size =\"40776704\"]\n  5 [size=\"25499648\", alpha=\"0.09\", expect_size=\"12749824\"] \n  5 -> 6 [size =\"12749824\"]\n  6 [size=\"83474432\", alpha=\"0.14\", expect_size=\"41737216\"] \n  6 -> 7 [size =\"41737216\"]\n  7 [size=\"62388224\", alpha=\"0.20\", expect_size=\"31194112\"] \n  7 -> 8 [size =\"31194112\"]\n  8 [size=\"11847680\", alpha=\"0.08\", expect_size=\"5923840\"] \n  8 -> 9 [size =\"5923840\"]\n  9 [size=\"42625024\", alpha=\"0.07\", expect_size=\"21312512\"] \n  9 -> 10 [size =\"21312512\"]\n  10 [size=\"50982912\", alpha=\"0.12\", expect_size=\"25491456\"] \n  10 -> 11 [size =\"25491456\"]\n  11 [size=\"22210560\", alpha=\"0.16\", expect_size=\"11105280\"] \n  11 -> 12 [size =\"11105280\"]\n  12 [size=\"46227456\", alpha=\"0.05\", expect_size=\"23113728\"] \n  12 -> 13 [size =\"23113728\"]\n  13 [size=\"60164096\", alpha=\"0.15\", expect_size=\"30082048\"] \n  13 -> 14 [size =\"30082048\"]\n  14 [size=\"24537088\", alpha=\"0.05\", expect_size=\"12268544\"] \n  14 -> 15 [size =\"12268544\"]\n  15 [size=\"89157632\", alpha=\"0.10\", expect_size=\"44578816\"] \n  15 -> 16 [size =\"44578816\"]\n  16 [size=\"35250176\", alpha=\"0.19\", expect_size=\"17625088\"] \n  16 -> 17 [size =\"17625088\"]\n  17 [size=\"99495936\", alpha=\"0.08\", expect_size=\"49747968\"] \n  17 -> 18 [size =\"49747968\"]\n  18 [size=\"97679360\", alpha=\"0.07\", expect_size=\"48839680\"] \n  18 -> 19 [size =\"48839680\"]\n  19 [size=\"39596032\", alpha=\"0.11\", expect_size=\"19798016\"] \n  19 -> 20 [size =\"19798016\"]\n  20 [size=\"71331840\", alpha=\"0.03\", expect_size=\"35665920\"] \n  20 -> 21 [size =\"35665920\"]\n  21 [size=\"32282624\", alpha=\"0.18\", expect_size=\"16141312\"] \n  21 -> 22 [size =\"16141312\"]\n  22 [size=\"11134976\", alpha=\"0.07\", expect_size=\"5567488\"] \n  22 -> 23 [size =\"5567488\"]\n  23 [size=\"35579904\", alpha=\"0.16\", expect_size=\"17789952\"] \n  23 -> 24 [size =\"17789952\"]\n  24 [size=\"12552192\", alpha=\"0.00\", expect_size=\"6276096\"] \n  24 -> 25 [size =\"6276096\"]\n  25 [size=\"38064128\", alpha=\"0.07\", expect_size=\"19032064\"] \n  25 -> 26 [size =\"19032064\"]\n  26 [size=\"83785728\", alpha=\"0.10\", expect_size=\"41892864\"] \n  26 -> 27 [size =\"41892864\"]\n  27 [size=\"79312896\", alpha=\"0.03\", expect_size=\"39656448\"] \n  27 -> 28 [size =\"39656448\"]\n  28 [size=\"20604928\", alpha=\"0.17\", expect_size=\"10302464\"] \n  28 -> 29 [size =\"10302464\"]\n  29 [size=\"52604928\", alpha=\"0.18\", expect_size=\"26302464\"] \n  29 -> 30 [size =\"26302464\"]\n  30 [size=\"11427840\", alpha=\"0.07\", expect_size=\"5713920\"] \n  30 -> 31 [size =\"5713920\"]\n  31 [size=\"23400448\", alpha=\"0.19\", expect_size=\"11700224\"] \n  31 -> 32 [size =\"11700224\"]\n  32 [size=\"13944832\", alpha=\"0.18\", expect_size=\"6972416\"] \n  32 -> 33 [size =\"6972416\"]\n  33 [size=\"49225728\", alpha=\"0.08\", expect_size=\"24612864\"] \n  33 -> 34 [size =\"24612864\"]\n  34 [size=\"31672320\", alpha=\"0.00\", expect_size=\"15836160\"] \n  34 -> 35 [size =\"15836160\"]\n  35 [size=\"32356352\", alpha=\"0.10\", expect_size=\"16178176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57499648\", alpha=\"0.09\", expect_size=\"28749824\"] \n  1 -> 2 [size =\"28749824\"]\n  2 [size=\"17383424\", alpha=\"0.00\", expect_size=\"8691712\"] \n  2 -> 3 [size =\"8691712\"]\n  3 [size=\"43448320\", alpha=\"0.16\", expect_size=\"21724160\"] \n  3 -> 4 [size =\"21724160\"]\n  4 [size=\"32215040\", alpha=\"0.15\", expect_size=\"16107520\"] \n  4 -> 5 [size =\"16107520\"]\n  5 [size=\"103716864\", alpha=\"0.17\", expect_size=\"51858432\"] \n  5 -> 6 [size =\"51858432\"]\n  6 [size=\"96532480\", alpha=\"0.04\", expect_size=\"48266240\"] \n  6 -> 7 [size =\"48266240\"]\n  7 [size=\"17729536\", alpha=\"0.19\", expect_size=\"8864768\"] \n  7 -> 8 [size =\"8864768\"]\n  8 [size=\"102858752\", alpha=\"0.04\", expect_size=\"51429376\"] \n  8 -> 9 [size =\"51429376\"]\n  9 [size=\"101494784\", alpha=\"0.17\", expect_size=\"50747392\"] \n  9 -> 10 [size =\"50747392\"]\n  10 [size=\"50448384\", alpha=\"0.08\", expect_size=\"25224192\"] \n  10 -> 11 [size =\"25224192\"]\n  11 [size=\"69230592\", alpha=\"0.17\", expect_size=\"34615296\"] \n  11 -> 12 [size =\"34615296\"]\n  12 [size=\"19417088\", alpha=\"0.13\", expect_size=\"9708544\"] \n  12 -> 13 [size =\"9708544\"]\n  13 [size=\"21757952\", alpha=\"0.16\", expect_size=\"10878976\"] \n  13 -> 14 [size =\"10878976\"]\n  14 [size=\"96344064\", alpha=\"0.19\", expect_size=\"48172032\"] \n  14 -> 15 [size =\"48172032\"]\n  15 [size=\"73476096\", alpha=\"0.06\", expect_size=\"36738048\"] \n  15 -> 16 [size =\"36738048\"]\n  16 [size=\"61341696\", alpha=\"0.01\", expect_size=\"30670848\"] \n  16 -> 17 [size =\"30670848\"]\n  17 [size=\"81346560\", alpha=\"0.09\", expect_size=\"40673280\"] \n  17 -> 18 [size =\"40673280\"]\n  18 [size=\"76406784\", alpha=\"0.06\", expect_size=\"38203392\"] \n  18 -> 19 [size =\"38203392\"]\n  19 [size=\"96667648\", alpha=\"0.11\", expect_size=\"48333824\"] \n  19 -> 20 [size =\"48333824\"]\n  20 [size=\"84000768\", alpha=\"0.00\", expect_size=\"42000384\"] \n  20 -> 21 [size =\"42000384\"]\n  21 [size=\"28735488\", alpha=\"0.00\", expect_size=\"14367744\"] \n  21 -> 22 [size =\"14367744\"]\n  22 [size=\"13414400\", alpha=\"0.01\", expect_size=\"6707200\"] \n  22 -> 23 [size =\"6707200\"]\n  23 [size=\"75448320\", alpha=\"0.09\", expect_size=\"37724160\"] \n  23 -> 24 [size =\"37724160\"]\n  24 [size=\"57083904\", alpha=\"0.02\", expect_size=\"28541952\"] \n  24 -> 25 [size =\"28541952\"]\n  25 [size=\"51738624\", alpha=\"0.15\", expect_size=\"25869312\"] \n  25 -> 26 [size =\"25869312\"]\n  26 [size=\"79775744\", alpha=\"0.05\", expect_size=\"39887872\"] \n  26 -> 27 [size =\"39887872\"]\n  27 [size=\"83062784\", alpha=\"0.18\", expect_size=\"41531392\"] \n  27 -> 28 [size =\"41531392\"]\n  28 [size=\"31617024\", alpha=\"0.10\", expect_size=\"15808512\"] \n  28 -> 29 [size =\"15808512\"]\n  29 [size=\"60884992\", alpha=\"0.01\", expect_size=\"30442496\"] \n  29 -> 30 [size =\"30442496\"]\n  30 [size=\"16777216\", alpha=\"0.00\", expect_size=\"8388608\"] \n  30 -> 31 [size =\"8388608\"]\n  31 [size=\"18604032\", alpha=\"0.12\", expect_size=\"9302016\"] \n  31 -> 32 [size =\"9302016\"]\n  32 [size=\"19011584\", alpha=\"0.06\", expect_size=\"9505792\"] \n  32 -> 33 [size =\"9505792\"]\n  33 [size=\"24893440\", alpha=\"0.03\", expect_size=\"12446720\"] \n  33 -> 34 [size =\"12446720\"]\n  34 [size=\"69214208\", alpha=\"0.17\", expect_size=\"34607104\"] \n  34 -> 35 [size =\"34607104\"]\n  35 [size=\"79335424\", alpha=\"0.05\", expect_size=\"39667712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145179307\", alpha=\"0.01\", expect_size=\"43553792\"] \n  1 -> 27 [size =\"43553792\"]\n  1 -> 28 [size =\"43553792\"]\n  1 -> 32 [size =\"43553792\"]\n  1 -> 33 [size =\"43553792\"]\n  2 [size=\"24497493\", alpha=\"0.19\", expect_size=\"7349248\"] \n  2 -> 28 [size =\"7349248\"]\n  2 -> 29 [size =\"7349248\"]\n  2 -> 33 [size =\"7349248\"]\n  3 [size=\"68099413\", alpha=\"0.06\", expect_size=\"20429824\"] \n  3 -> 26 [size =\"20429824\"]\n  3 -> 27 [size =\"20429824\"]\n  3 -> 32 [size =\"20429824\"]\n  3 -> 34 [size =\"20429824\"]\n  3 -> 35 [size =\"20429824\"]\n  4 [size=\"68539733\", alpha=\"0.01\", expect_size=\"20561920\"] \n  4 -> 24 [size =\"20561920\"]\n  4 -> 26 [size =\"20561920\"]\n  4 -> 28 [size =\"20561920\"]\n  4 -> 29 [size =\"20561920\"]\n  4 -> 30 [size =\"20561920\"]\n  4 -> 31 [size =\"20561920\"]\n  4 -> 32 [size =\"20561920\"]\n  4 -> 33 [size =\"20561920\"]\n  4 -> 34 [size =\"20561920\"]\n  4 -> 35 [size =\"20561920\"]\n  5 [size=\"171165013\", alpha=\"0.16\", expect_size=\"51349504\"] \n  5 -> 26 [size =\"51349504\"]\n  5 -> 31 [size =\"51349504\"]\n  5 -> 33 [size =\"51349504\"]\n  6 [size=\"99775147\", alpha=\"0.18\", expect_size=\"29932544\"] \n  6 -> 23 [size =\"29932544\"]\n  6 -> 26 [size =\"29932544\"]\n  6 -> 31 [size =\"29932544\"]\n  6 -> 32 [size =\"29932544\"]\n  7 [size=\"114728960\", alpha=\"0.16\", expect_size=\"34418688\"] \n  7 -> 25 [size =\"34418688\"]\n  7 -> 26 [size =\"34418688\"]\n  7 -> 27 [size =\"34418688\"]\n  7 -> 28 [size =\"34418688\"]\n  7 -> 29 [size =\"34418688\"]\n  7 -> 32 [size =\"34418688\"]\n  7 -> 35 [size =\"34418688\"]\n  8 [size=\"145797120\", alpha=\"0.17\", expect_size=\"43739136\"] \n  8 -> 26 [size =\"43739136\"]\n  8 -> 27 [size =\"43739136\"]\n  8 -> 29 [size =\"43739136\"]\n  8 -> 30 [size =\"43739136\"]\n  8 -> 35 [size =\"43739136\"]\n  9 [size=\"31358293\", alpha=\"0.16\", expect_size=\"9407488\"] \n  9 -> 23 [size =\"9407488\"]\n  9 -> 26 [size =\"9407488\"]\n  9 -> 28 [size =\"9407488\"]\n  9 -> 30 [size =\"9407488\"]\n  9 -> 31 [size =\"9407488\"]\n  9 -> 34 [size =\"9407488\"]\n  10 [size=\"70413653\", alpha=\"0.17\", expect_size=\"21124096\"] \n  10 -> 27 [size =\"21124096\"]\n  10 -> 28 [size =\"21124096\"]\n  10 -> 33 [size =\"21124096\"]\n  10 -> 35 [size =\"21124096\"]\n  11 [size=\"171240107\", alpha=\"0.11\", expect_size=\"51372032\"] \n  11 -> 26 [size =\"51372032\"]\n  11 -> 28 [size =\"51372032\"]\n  11 -> 32 [size =\"51372032\"]\n  12 [size=\"20510720\", alpha=\"0.08\", expect_size=\"6153216\"] \n  12 -> 26 [size =\"6153216\"]\n  12 -> 33 [size =\"6153216\"]\n  13 [size=\"172554240\", alpha=\"0.14\", expect_size=\"51766272\"] \n  13 -> 23 [size =\"51766272\"]\n  13 -> 24 [size =\"51766272\"]\n  13 -> 26 [size =\"51766272\"]\n  13 -> 27 [size =\"51766272\"]\n  13 -> 33 [size =\"51766272\"]\n  14 [size=\"64419840\", alpha=\"0.04\", expect_size=\"19325952\"] \n  14 -> 26 [size =\"19325952\"]\n  14 -> 27 [size =\"19325952\"]\n  14 -> 30 [size =\"19325952\"]\n  14 -> 31 [size =\"19325952\"]\n  14 -> 32 [size =\"19325952\"]\n  14 -> 33 [size =\"19325952\"]\n  15 [size=\"71611733\", alpha=\"0.11\", expect_size=\"21483520\"] \n  15 -> 26 [size =\"21483520\"]\n  15 -> 28 [size =\"21483520\"]\n  15 -> 29 [size =\"21483520\"]\n  15 -> 31 [size =\"21483520\"]\n  15 -> 33 [size =\"21483520\"]\n  16 [size=\"42315093\", alpha=\"0.15\", expect_size=\"12694528\"] \n  16 -> 23 [size =\"12694528\"]\n  16 -> 24 [size =\"12694528\"]\n  16 -> 26 [size =\"12694528\"]\n  16 -> 27 [size =\"12694528\"]\n  16 -> 28 [size =\"12694528\"]\n  16 -> 29 [size =\"12694528\"]\n  16 -> 31 [size =\"12694528\"]\n  16 -> 32 [size =\"12694528\"]\n  16 -> 33 [size =\"12694528\"]\n  17 [size=\"30190933\", alpha=\"0.11\", expect_size=\"9057280\"] \n  17 -> 24 [size =\"9057280\"]\n  17 -> 24 [size =\"9057280\"]\n  17 -> 26 [size =\"9057280\"]\n  17 -> 27 [size =\"9057280\"]\n  17 -> 32 [size =\"9057280\"]\n  17 -> 33 [size =\"9057280\"]\n  17 -> 35 [size =\"9057280\"]\n  18 [size=\"154395307\", alpha=\"0.10\", expect_size=\"46318592\"] \n  18 -> 22 [size =\"46318592\"]\n  18 -> 23 [size =\"46318592\"]\n  18 -> 24 [size =\"46318592\"]\n  18 -> 26 [size =\"46318592\"]\n  18 -> 27 [size =\"46318592\"]\n  18 -> 28 [size =\"46318592\"]\n  18 -> 30 [size =\"46318592\"]\n  18 -> 31 [size =\"46318592\"]\n  18 -> 32 [size =\"46318592\"]\n  19 [size=\"132304213\", alpha=\"0.17\", expect_size=\"39691264\"] \n  19 -> 24 [size =\"39691264\"]\n  19 -> 26 [size =\"39691264\"]\n  19 -> 28 [size =\"39691264\"]\n  19 -> 32 [size =\"39691264\"]\n  20 [size=\"98757973\", alpha=\"0.08\", expect_size=\"29627392\"] \n  20 -> 26 [size =\"29627392\"]\n  20 -> 27 [size =\"29627392\"]\n  20 -> 28 [size =\"29627392\"]\n  20 -> 32 [size =\"29627392\"]\n  20 -> 35 [size =\"29627392\"]\n  21 [size=\"73625600\", alpha=\"0.15\", expect_size=\"22087680\"] \n  21 -> 23 [size =\"22087680\"]\n  21 -> 24 [size =\"22087680\"]\n  21 -> 26 [size =\"22087680\"]\n  21 -> 28 [size =\"22087680\"]\n  21 -> 31 [size =\"22087680\"]\n  21 -> 32 [size =\"22087680\"]\n  21 -> 35 [size =\"22087680\"]\n  22 [size=\"159549440\", alpha=\"0.03\", expect_size=\"47864832\"] \n  23 [size=\"66689707\", alpha=\"0.17\", expect_size=\"20006912\"] \n  24 [size=\"23425707\", alpha=\"0.18\", expect_size=\"7027712\"] \n  25 [size=\"55654400\", alpha=\"0.18\", expect_size=\"16696320\"] \n  26 [size=\"144356693\", alpha=\"0.09\", expect_size=\"43307008\"] \n  27 [size=\"108642987\", alpha=\"0.12\", expect_size=\"32592896\"] \n  28 [size=\"37092693\", alpha=\"0.11\", expect_size=\"11127808\"] \n  29 [size=\"114554880\", alpha=\"0.12\", expect_size=\"34366464\"] \n  30 [size=\"94665387\", alpha=\"0.00\", expect_size=\"28399616\"] \n  31 [size=\"158477653\", alpha=\"0.08\", expect_size=\"47543296\"] \n  32 [size=\"119125333\", alpha=\"0.15\", expect_size=\"35737600\"] \n  33 [size=\"140916053\", alpha=\"0.03\", expect_size=\"42274816\"] \n  34 [size=\"117189973\", alpha=\"0.17\", expect_size=\"35156992\"] \n  35 [size=\"99013973\", alpha=\"0.17\", expect_size=\"29704192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121474560\", alpha=\"0.18\", expect_size=\"48589824\"] \n  1 -> 23 [size =\"48589824\"]\n  1 -> 30 [size =\"48589824\"]\n  1 -> 35 [size =\"48589824\"]\n  2 [size=\"129648640\", alpha=\"0.11\", expect_size=\"51859456\"] \n  2 -> 23 [size =\"51859456\"]\n  2 -> 24 [size =\"51859456\"]\n  2 -> 25 [size =\"51859456\"]\n  2 -> 28 [size =\"51859456\"]\n  2 -> 30 [size =\"51859456\"]\n  2 -> 35 [size =\"51859456\"]\n  3 [size=\"64389120\", alpha=\"0.17\", expect_size=\"25755648\"] \n  3 -> 23 [size =\"25755648\"]\n  3 -> 24 [size =\"25755648\"]\n  3 -> 30 [size =\"25755648\"]\n  3 -> 33 [size =\"25755648\"]\n  3 -> 34 [size =\"25755648\"]\n  4 [size=\"89853440\", alpha=\"0.13\", expect_size=\"35941376\"] \n  4 -> 24 [size =\"35941376\"]\n  4 -> 25 [size =\"35941376\"]\n  4 -> 28 [size =\"35941376\"]\n  4 -> 30 [size =\"35941376\"]\n  4 -> 33 [size =\"35941376\"]\n  5 [size=\"126684160\", alpha=\"0.04\", expect_size=\"50673664\"] \n  5 -> 23 [size =\"50673664\"]\n  5 -> 24 [size =\"50673664\"]\n  5 -> 25 [size =\"50673664\"]\n  5 -> 28 [size =\"50673664\"]\n  5 -> 29 [size =\"50673664\"]\n  5 -> 30 [size =\"50673664\"]\n  5 -> 31 [size =\"50673664\"]\n  5 -> 33 [size =\"50673664\"]\n  6 [size=\"19548160\", alpha=\"0.05\", expect_size=\"7819264\"] \n  6 -> 23 [size =\"7819264\"]\n  6 -> 24 [size =\"7819264\"]\n  6 -> 25 [size =\"7819264\"]\n  6 -> 28 [size =\"7819264\"]\n  6 -> 29 [size =\"7819264\"]\n  6 -> 30 [size =\"7819264\"]\n  6 -> 33 [size =\"7819264\"]\n  7 [size=\"103503360\", alpha=\"0.14\", expect_size=\"41401344\"] \n  7 -> 23 [size =\"41401344\"]\n  7 -> 24 [size =\"41401344\"]\n  7 -> 25 [size =\"41401344\"]\n  8 [size=\"20403200\", alpha=\"0.06\", expect_size=\"8161280\"] \n  8 -> 23 [size =\"8161280\"]\n  8 -> 28 [size =\"8161280\"]\n  8 -> 30 [size =\"8161280\"]\n  8 -> 34 [size =\"8161280\"]\n  8 -> 35 [size =\"8161280\"]\n  9 [size=\"73520640\", alpha=\"0.20\", expect_size=\"29408256\"] \n  9 -> 24 [size =\"29408256\"]\n  9 -> 26 [size =\"29408256\"]\n  9 -> 30 [size =\"29408256\"]\n  9 -> 31 [size =\"29408256\"]\n  9 -> 32 [size =\"29408256\"]\n  9 -> 34 [size =\"29408256\"]\n  9 -> 35 [size =\"29408256\"]\n  10 [size=\"127454720\", alpha=\"0.05\", expect_size=\"50981888\"] \n  10 -> 24 [size =\"50981888\"]\n  10 -> 25 [size =\"50981888\"]\n  10 -> 28 [size =\"50981888\"]\n  10 -> 31 [size =\"50981888\"]\n  11 [size=\"123686400\", alpha=\"0.02\", expect_size=\"49474560\"] \n  11 -> 23 [size =\"49474560\"]\n  11 -> 25 [size =\"49474560\"]\n  11 -> 27 [size =\"49474560\"]\n  11 -> 30 [size =\"49474560\"]\n  11 -> 31 [size =\"49474560\"]\n  11 -> 34 [size =\"49474560\"]\n  11 -> 35 [size =\"49474560\"]\n  12 [size=\"113167360\", alpha=\"0.04\", expect_size=\"45266944\"] \n  12 -> 23 [size =\"45266944\"]\n  12 -> 24 [size =\"45266944\"]\n  12 -> 25 [size =\"45266944\"]\n  12 -> 27 [size =\"45266944\"]\n  12 -> 30 [size =\"45266944\"]\n  12 -> 35 [size =\"45266944\"]\n  13 [size=\"61035520\", alpha=\"0.13\", expect_size=\"24414208\"] \n  13 -> 27 [size =\"24414208\"]\n  13 -> 35 [size =\"24414208\"]\n  14 [size=\"41354240\", alpha=\"0.19\", expect_size=\"16541696\"] \n  14 -> 24 [size =\"16541696\"]\n  14 -> 27 [size =\"16541696\"]\n  15 [size=\"118197760\", alpha=\"0.15\", expect_size=\"47279104\"] \n  15 -> 23 [size =\"47279104\"]\n  15 -> 35 [size =\"47279104\"]\n  16 [size=\"21427200\", alpha=\"0.07\", expect_size=\"8570880\"] \n  16 -> 24 [size =\"8570880\"]\n  16 -> 30 [size =\"8570880\"]\n  17 [size=\"50918400\", alpha=\"0.05\", expect_size=\"20367360\"] \n  17 -> 23 [size =\"20367360\"]\n  17 -> 24 [size =\"20367360\"]\n  17 -> 25 [size =\"20367360\"]\n  17 -> 30 [size =\"20367360\"]\n  17 -> 31 [size =\"20367360\"]\n  17 -> 35 [size =\"20367360\"]\n  18 [size=\"15482880\", alpha=\"0.03\", expect_size=\"6193152\"] \n  18 -> 23 [size =\"6193152\"]\n  18 -> 24 [size =\"6193152\"]\n  18 -> 25 [size =\"6193152\"]\n  18 -> 29 [size =\"6193152\"]\n  19 [size=\"53649920\", alpha=\"0.18\", expect_size=\"21459968\"] \n  19 -> 24 [size =\"21459968\"]\n  19 -> 25 [size =\"21459968\"]\n  19 -> 30 [size =\"21459968\"]\n  19 -> 31 [size =\"21459968\"]\n  19 -> 34 [size =\"21459968\"]\n  20 [size=\"51110400\", alpha=\"0.14\", expect_size=\"20444160\"] \n  20 -> 23 [size =\"20444160\"]\n  20 -> 25 [size =\"20444160\"]\n  20 -> 27 [size =\"20444160\"]\n  20 -> 35 [size =\"20444160\"]\n  21 [size=\"80632320\", alpha=\"0.08\", expect_size=\"32252928\"] \n  21 -> 26 [size =\"32252928\"]\n  21 -> 27 [size =\"32252928\"]\n  21 -> 34 [size =\"32252928\"]\n  21 -> 35 [size =\"32252928\"]\n  22 [size=\"92241920\", alpha=\"0.01\", expect_size=\"36896768\"] \n  22 -> 25 [size =\"36896768\"]\n  22 -> 31 [size =\"36896768\"]\n  22 -> 33 [size =\"36896768\"]\n  22 -> 35 [size =\"36896768\"]\n  23 [size=\"114193920\", alpha=\"0.04\", expect_size=\"45677568\"] \n  24 [size=\"75671040\", alpha=\"0.19\", expect_size=\"30268416\"] \n  25 [size=\"70873600\", alpha=\"0.14\", expect_size=\"28349440\"] \n  26 [size=\"40386560\", alpha=\"0.09\", expect_size=\"16154624\"] \n  27 [size=\"80696320\", alpha=\"0.00\", expect_size=\"32278528\"] \n  28 [size=\"107596800\", alpha=\"0.12\", expect_size=\"43038720\"] \n  29 [size=\"124267520\", alpha=\"0.15\", expect_size=\"49707008\"] \n  30 [size=\"114982400\", alpha=\"0.17\", expect_size=\"45992960\"] \n  31 [size=\"78973440\", alpha=\"0.17\", expect_size=\"31589376\"] \n  32 [size=\"124608000\", alpha=\"0.15\", expect_size=\"49843200\"] \n  33 [size=\"14535680\", alpha=\"0.01\", expect_size=\"5814272\"] \n  34 [size=\"35968000\", alpha=\"0.11\", expect_size=\"14387200\"] \n  35 [size=\"29726720\", alpha=\"0.19\", expect_size=\"11890688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60661760\", alpha=\"0.16\", expect_size=\"18198528\"] \n  1 -> 15 [size =\"18198528\"]\n  1 -> 16 [size =\"18198528\"]\n  1 -> 18 [size =\"18198528\"]\n  1 -> 20 [size =\"18198528\"]\n  2 [size=\"118599680\", alpha=\"0.03\", expect_size=\"35579904\"] \n  2 -> 17 [size =\"35579904\"]\n  2 -> 19 [size =\"35579904\"]\n  2 -> 20 [size =\"35579904\"]\n  2 -> 20 [size =\"35579904\"]\n  2 -> 24 [size =\"35579904\"]\n  3 [size=\"71877973\", alpha=\"0.02\", expect_size=\"21563392\"] \n  3 -> 15 [size =\"21563392\"]\n  3 -> 16 [size =\"21563392\"]\n  3 -> 17 [size =\"21563392\"]\n  3 -> 20 [size =\"21563392\"]\n  3 -> 21 [size =\"21563392\"]\n  4 [size=\"135051947\", alpha=\"0.14\", expect_size=\"40515584\"] \n  4 -> 17 [size =\"40515584\"]\n  4 -> 20 [size =\"40515584\"]\n  4 -> 21 [size =\"40515584\"]\n  4 -> 22 [size =\"40515584\"]\n  4 -> 24 [size =\"40515584\"]\n  5 [size=\"22831787\", alpha=\"0.10\", expect_size=\"6849536\"] \n  5 -> 15 [size =\"6849536\"]\n  5 -> 16 [size =\"6849536\"]\n  5 -> 17 [size =\"6849536\"]\n  5 -> 20 [size =\"6849536\"]\n  5 -> 23 [size =\"6849536\"]\n  5 -> 24 [size =\"6849536\"]\n  6 [size=\"106052267\", alpha=\"0.20\", expect_size=\"31815680\"] \n  6 -> 17 [size =\"31815680\"]\n  6 -> 21 [size =\"31815680\"]\n  6 -> 22 [size =\"31815680\"]\n  6 -> 24 [size =\"31815680\"]\n  7 [size=\"32051200\", alpha=\"0.17\", expect_size=\"9615360\"] \n  7 -> 16 [size =\"9615360\"]\n  7 -> 17 [size =\"9615360\"]\n  7 -> 21 [size =\"9615360\"]\n  7 -> 24 [size =\"9615360\"]\n  8 [size=\"138144427\", alpha=\"0.03\", expect_size=\"41443328\"] \n  8 -> 17 [size =\"41443328\"]\n  8 -> 17 [size =\"41443328\"]\n  8 -> 19 [size =\"41443328\"]\n  8 -> 21 [size =\"41443328\"]\n  8 -> 24 [size =\"41443328\"]\n  9 [size=\"119026347\", alpha=\"0.20\", expect_size=\"35707904\"] \n  9 -> 15 [size =\"35707904\"]\n  9 -> 17 [size =\"35707904\"]\n  9 -> 21 [size =\"35707904\"]\n  9 -> 21 [size =\"35707904\"]\n  9 -> 24 [size =\"35707904\"]\n  10 [size=\"116674560\", alpha=\"0.00\", expect_size=\"35002368\"] \n  10 -> 15 [size =\"35002368\"]\n  10 -> 19 [size =\"35002368\"]\n  10 -> 20 [size =\"35002368\"]\n  10 -> 21 [size =\"35002368\"]\n  10 -> 24 [size =\"35002368\"]\n  11 [size=\"35546453\", alpha=\"0.19\", expect_size=\"10663936\"] \n  11 -> 20 [size =\"10663936\"]\n  11 -> 22 [size =\"10663936\"]\n  11 -> 23 [size =\"10663936\"]\n  11 -> 24 [size =\"10663936\"]\n  11 -> 24 [size =\"10663936\"]\n  12 [size=\"162112853\", alpha=\"0.09\", expect_size=\"48633856\"] \n  12 -> 17 [size =\"48633856\"]\n  12 -> 19 [size =\"48633856\"]\n  12 -> 20 [size =\"48633856\"]\n  12 -> 21 [size =\"48633856\"]\n  12 -> 22 [size =\"48633856\"]\n  13 [size=\"28542293\", alpha=\"0.09\", expect_size=\"8562688\"] \n  13 -> 14 [size =\"8562688\"]\n  13 -> 24 [size =\"8562688\"]\n  14 [size=\"41349120\", alpha=\"0.18\", expect_size=\"12404736\"] \n  14 -> 25 [size =\"12404736\"]\n  14 -> 27 [size =\"12404736\"]\n  14 -> 28 [size =\"12404736\"]\n  14 -> 30 [size =\"12404736\"]\n  14 -> 31 [size =\"12404736\"]\n  14 -> 33 [size =\"12404736\"]\n  14 -> 34 [size =\"12404736\"]\n  15 [size=\"150364160\", alpha=\"0.19\", expect_size=\"45109248\"] \n  15 -> 25 [size =\"45109248\"]\n  15 -> 26 [size =\"45109248\"]\n  15 -> 27 [size =\"45109248\"]\n  15 -> 28 [size =\"45109248\"]\n  15 -> 33 [size =\"45109248\"]\n  15 -> 33 [size =\"45109248\"]\n  16 [size=\"68051627\", alpha=\"0.07\", expect_size=\"20415488\"] \n  16 -> 25 [size =\"20415488\"]\n  16 -> 26 [size =\"20415488\"]\n  16 -> 27 [size =\"20415488\"]\n  16 -> 28 [size =\"20415488\"]\n  16 -> 29 [size =\"20415488\"]\n  16 -> 30 [size =\"20415488\"]\n  16 -> 31 [size =\"20415488\"]\n  16 -> 33 [size =\"20415488\"]\n  17 [size=\"65382400\", alpha=\"0.13\", expect_size=\"19614720\"] \n  17 -> 25 [size =\"19614720\"]\n  17 -> 26 [size =\"19614720\"]\n  17 -> 27 [size =\"19614720\"]\n  17 -> 28 [size =\"19614720\"]\n  17 -> 30 [size =\"19614720\"]\n  17 -> 31 [size =\"19614720\"]\n  17 -> 33 [size =\"19614720\"]\n  17 -> 33 [size =\"19614720\"]\n  17 -> 34 [size =\"19614720\"]\n  18 [size=\"43134293\", alpha=\"0.11\", expect_size=\"12940288\"] \n  18 -> 25 [size =\"12940288\"]\n  18 -> 27 [size =\"12940288\"]\n  18 -> 27 [size =\"12940288\"]\n  18 -> 33 [size =\"12940288\"]\n  19 [size=\"67416747\", alpha=\"0.13\", expect_size=\"20225024\"] \n  19 -> 25 [size =\"20225024\"]\n  19 -> 26 [size =\"20225024\"]\n  19 -> 27 [size =\"20225024\"]\n  19 -> 30 [size =\"20225024\"]\n  19 -> 31 [size =\"20225024\"]\n  19 -> 32 [size =\"20225024\"]\n  19 -> 33 [size =\"20225024\"]\n  20 [size=\"65177600\", alpha=\"0.00\", expect_size=\"19553280\"] \n  20 -> 25 [size =\"19553280\"]\n  20 -> 26 [size =\"19553280\"]\n  20 -> 27 [size =\"19553280\"]\n  20 -> 29 [size =\"19553280\"]\n  20 -> 30 [size =\"19553280\"]\n  20 -> 31 [size =\"19553280\"]\n  20 -> 32 [size =\"19553280\"]\n  21 [size=\"66102613\", alpha=\"0.13\", expect_size=\"19830784\"] \n  21 -> 25 [size =\"19830784\"]\n  21 -> 26 [size =\"19830784\"]\n  21 -> 27 [size =\"19830784\"]\n  21 -> 30 [size =\"19830784\"]\n  21 -> 33 [size =\"19830784\"]\n  21 -> 34 [size =\"19830784\"]\n  22 [size=\"55237973\", alpha=\"0.19\", expect_size=\"16571392\"] \n  22 -> 26 [size =\"16571392\"]\n  22 -> 26 [size =\"16571392\"]\n  22 -> 28 [size =\"16571392\"]\n  22 -> 29 [size =\"16571392\"]\n  22 -> 30 [size =\"16571392\"]\n  22 -> 34 [size =\"16571392\"]\n  23 [size=\"129355093\", alpha=\"0.11\", expect_size=\"38806528\"] \n  23 -> 26 [size =\"38806528\"]\n  23 -> 28 [size =\"38806528\"]\n  24 [size=\"41147733\", alpha=\"0.19\", expect_size=\"12344320\"] \n  24 -> 26 [size =\"12344320\"]\n  24 -> 30 [size =\"12344320\"]\n  24 -> 31 [size =\"12344320\"]\n  24 -> 33 [size =\"12344320\"]\n  24 -> 34 [size =\"12344320\"]\n  25 [size=\"21893120\", alpha=\"0.07\", expect_size=\"6567936\"] \n  26 [size=\"171571200\", alpha=\"0.07\", expect_size=\"51471360\"] \n  27 [size=\"69618347\", alpha=\"0.08\", expect_size=\"20885504\"] \n  28 [size=\"170745173\", alpha=\"0.05\", expect_size=\"51223552\"] \n  29 [size=\"101413547\", alpha=\"0.15\", expect_size=\"30424064\"] \n  30 [size=\"44441600\", alpha=\"0.17\", expect_size=\"13332480\"] \n  30 -> 35 [size =\"13332480\"]\n  31 [size=\"45530453\", alpha=\"0.01\", expect_size=\"13659136\"] \n  31 -> 35 [size =\"13659136\"]\n  32 [size=\"147875840\", alpha=\"0.04\", expect_size=\"44362752\"] \n  32 -> 35 [size =\"44362752\"]\n  33 [size=\"138021547\", alpha=\"0.09\", expect_size=\"41406464\"] \n  33 -> 35 [size =\"41406464\"]\n  34 [size=\"70376107\", alpha=\"0.16\", expect_size=\"21112832\"] \n  35 [size=\"62518613\", alpha=\"0.01\", expect_size=\"18755584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24942592\", alpha=\"0.07\", expect_size=\"12471296\"] \n  1 -> 9 [size =\"12471296\"]\n  2 [size=\"38238208\", alpha=\"0.07\", expect_size=\"19119104\"] \n  2 -> 8 [size =\"19119104\"]\n  3 [size=\"50540544\", alpha=\"0.18\", expect_size=\"25270272\"] \n  3 -> 7 [size =\"25270272\"]\n  3 -> 8 [size =\"25270272\"]\n  4 [size=\"20498432\", alpha=\"0.08\", expect_size=\"10249216\"] \n  4 -> 5 [size =\"10249216\"]\n  4 -> 6 [size =\"10249216\"]\n  5 [size=\"15134720\", alpha=\"0.00\", expect_size=\"7567360\"] \n  5 -> 11 [size =\"7567360\"]\n  6 [size=\"14149632\", alpha=\"0.15\", expect_size=\"7074816\"] \n  6 -> 10 [size =\"7074816\"]\n  6 -> 11 [size =\"7074816\"]\n  7 [size=\"89995264\", alpha=\"0.17\", expect_size=\"44997632\"] \n  7 -> 12 [size =\"44997632\"]\n  7 -> 13 [size =\"44997632\"]\n  8 [size=\"30742528\", alpha=\"0.01\", expect_size=\"15371264\"] \n  8 -> 12 [size =\"15371264\"]\n  8 -> 13 [size =\"15371264\"]\n  9 [size=\"89141248\", alpha=\"0.03\", expect_size=\"44570624\"] \n  9 -> 12 [size =\"44570624\"]\n  9 -> 14 [size =\"44570624\"]\n  10 [size=\"102840320\", alpha=\"0.14\", expect_size=\"51420160\"] \n  11 [size=\"77938688\", alpha=\"0.11\", expect_size=\"38969344\"] \n  12 [size=\"18360320\", alpha=\"0.18\", expect_size=\"9180160\"] \n  13 [size=\"51937280\", alpha=\"0.01\", expect_size=\"25968640\"] \n  13 -> 16 [size =\"25968640\"]\n  13 -> 17 [size =\"25968640\"]\n  13 -> 18 [size =\"25968640\"]\n  14 [size=\"42784768\", alpha=\"0.08\", expect_size=\"21392384\"] \n  14 -> 15 [size =\"21392384\"]\n  15 [size=\"79947776\", alpha=\"0.20\", expect_size=\"39973888\"] \n  15 -> 19 [size =\"39973888\"]\n  15 -> 22 [size =\"39973888\"]\n  16 [size=\"80582656\", alpha=\"0.06\", expect_size=\"40291328\"] \n  16 -> 20 [size =\"40291328\"]\n  17 [size=\"55658496\", alpha=\"0.18\", expect_size=\"27829248\"] \n  17 -> 21 [size =\"27829248\"]\n  17 -> 22 [size =\"27829248\"]\n  18 [size=\"40818688\", alpha=\"0.02\", expect_size=\"20409344\"] \n  18 -> 19 [size =\"20409344\"]\n  19 [size=\"45232128\", alpha=\"0.19\", expect_size=\"22616064\"] \n  19 -> 25 [size =\"22616064\"]\n  19 -> 26 [size =\"22616064\"]\n  20 [size=\"61624320\", alpha=\"0.14\", expect_size=\"30812160\"] \n  20 -> 23 [size =\"30812160\"]\n  21 [size=\"33634304\", alpha=\"0.11\", expect_size=\"16817152\"] \n  22 [size=\"83357696\", alpha=\"0.14\", expect_size=\"41678848\"] \n  22 -> 24 [size =\"41678848\"]\n  22 -> 25 [size =\"41678848\"]\n  22 -> 27 [size =\"41678848\"]\n  23 [size=\"75321344\", alpha=\"0.06\", expect_size=\"37660672\"] \n  23 -> 29 [size =\"37660672\"]\n  24 [size=\"78309376\", alpha=\"0.00\", expect_size=\"39154688\"] \n  24 -> 29 [size =\"39154688\"]\n  24 -> 30 [size =\"39154688\"]\n  24 -> 31 [size =\"39154688\"]\n  25 [size=\"21684224\", alpha=\"0.15\", expect_size=\"10842112\"] \n  25 -> 30 [size =\"10842112\"]\n  25 -> 31 [size =\"10842112\"]\n  25 -> 32 [size =\"10842112\"]\n  26 [size=\"21450752\", alpha=\"0.11\", expect_size=\"10725376\"] \n  26 -> 28 [size =\"10725376\"]\n  26 -> 31 [size =\"10725376\"]\n  27 [size=\"51855360\", alpha=\"0.04\", expect_size=\"25927680\"] \n  27 -> 30 [size =\"25927680\"]\n  28 [size=\"40114176\", alpha=\"0.01\", expect_size=\"20057088\"] \n  28 -> 34 [size =\"20057088\"]\n  29 [size=\"49790976\", alpha=\"0.14\", expect_size=\"24895488\"] \n  29 -> 34 [size =\"24895488\"]\n  30 [size=\"45664256\", alpha=\"0.07\", expect_size=\"22832128\"] \n  31 [size=\"15298560\", alpha=\"0.15\", expect_size=\"7649280\"] \n  31 -> 33 [size =\"7649280\"]\n  32 [size=\"67526656\", alpha=\"0.04\", expect_size=\"33763328\"] \n  32 -> 34 [size =\"33763328\"]\n  32 -> 35 [size =\"33763328\"]\n  33 [size=\"41355264\", alpha=\"0.02\", expect_size=\"20677632\"] \n  34 [size=\"71213056\", alpha=\"0.06\", expect_size=\"35606528\"] \n  35 [size=\"72738816\", alpha=\"0.06\", expect_size=\"36369408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59368107\", alpha=\"0.08\", expect_size=\"17810432\"] \n  1 -> 8 [size =\"17810432\"]\n  1 -> 9 [size =\"17810432\"]\n  1 -> 10 [size =\"17810432\"]\n  1 -> 11 [size =\"17810432\"]\n  2 [size=\"36420267\", alpha=\"0.09\", expect_size=\"10926080\"] \n  2 -> 11 [size =\"10926080\"]\n  3 [size=\"160713387\", alpha=\"0.05\", expect_size=\"48214016\"] \n  3 -> 8 [size =\"48214016\"]\n  3 -> 11 [size =\"48214016\"]\n  4 [size=\"39208960\", alpha=\"0.04\", expect_size=\"11762688\"] \n  4 -> 11 [size =\"11762688\"]\n  4 -> 12 [size =\"11762688\"]\n  4 -> 14 [size =\"11762688\"]\n  5 [size=\"48633173\", alpha=\"0.18\", expect_size=\"14589952\"] \n  5 -> 8 [size =\"14589952\"]\n  5 -> 9 [size =\"14589952\"]\n  5 -> 11 [size =\"14589952\"]\n  6 [size=\"141073067\", alpha=\"0.04\", expect_size=\"42321920\"] \n  6 -> 8 [size =\"42321920\"]\n  6 -> 9 [size =\"42321920\"]\n  6 -> 10 [size =\"42321920\"]\n  7 [size=\"138195627\", alpha=\"0.11\", expect_size=\"41458688\"] \n  7 -> 9 [size =\"41458688\"]\n  7 -> 9 [size =\"41458688\"]\n  7 -> 10 [size =\"41458688\"]\n  7 -> 13 [size =\"41458688\"]\n  7 -> 14 [size =\"41458688\"]\n  8 [size=\"72301227\", alpha=\"0.09\", expect_size=\"21690368\"] \n  8 -> 17 [size =\"21690368\"]\n  9 [size=\"63778133\", alpha=\"0.14\", expect_size=\"19133440\"] \n  9 -> 17 [size =\"19133440\"]\n  10 [size=\"66010453\", alpha=\"0.19\", expect_size=\"19803136\"] \n  10 -> 16 [size =\"19803136\"]\n  11 [size=\"117480107\", alpha=\"0.19\", expect_size=\"35244032\"] \n  11 -> 16 [size =\"35244032\"]\n  11 -> 17 [size =\"35244032\"]\n  12 [size=\"21350400\", alpha=\"0.03\", expect_size=\"6405120\"] \n  12 -> 16 [size =\"6405120\"]\n  12 -> 17 [size =\"6405120\"]\n  13 [size=\"93812053\", alpha=\"0.14\", expect_size=\"28143616\"] \n  13 -> 15 [size =\"28143616\"]\n  13 -> 16 [size =\"28143616\"]\n  13 -> 17 [size =\"28143616\"]\n  14 [size=\"135932587\", alpha=\"0.19\", expect_size=\"40779776\"] \n  14 -> 16 [size =\"40779776\"]\n  15 [size=\"170431147\", alpha=\"0.13\", expect_size=\"51129344\"] \n  15 -> 19 [size =\"51129344\"]\n  15 -> 20 [size =\"51129344\"]\n  16 [size=\"156989440\", alpha=\"0.19\", expect_size=\"47096832\"] \n  16 -> 18 [size =\"47096832\"]\n  16 -> 20 [size =\"47096832\"]\n  17 [size=\"30702933\", alpha=\"0.08\", expect_size=\"9210880\"] \n  17 -> 18 [size =\"9210880\"]\n  18 [size=\"114210133\", alpha=\"0.17\", expect_size=\"34263040\"] \n  18 -> 22 [size =\"34263040\"]\n  19 [size=\"28057600\", alpha=\"0.11\", expect_size=\"8417280\"] \n  19 -> 21 [size =\"8417280\"]\n  19 -> 22 [size =\"8417280\"]\n  20 [size=\"141335893\", alpha=\"0.02\", expect_size=\"42400768\"] \n  20 -> 22 [size =\"42400768\"]\n  21 [size=\"137076053\", alpha=\"0.17\", expect_size=\"41122816\"] \n  21 -> 23 [size =\"41122816\"]\n  21 -> 25 [size =\"41122816\"]\n  21 -> 26 [size =\"41122816\"]\n  21 -> 27 [size =\"41122816\"]\n  21 -> 28 [size =\"41122816\"]\n  22 [size=\"131887787\", alpha=\"0.15\", expect_size=\"39566336\"] \n  22 -> 23 [size =\"39566336\"]\n  22 -> 24 [size =\"39566336\"]\n  22 -> 26 [size =\"39566336\"]\n  22 -> 27 [size =\"39566336\"]\n  23 [size=\"156928000\", alpha=\"0.11\", expect_size=\"47078400\"] \n  23 -> 29 [size =\"47078400\"]\n  23 -> 31 [size =\"47078400\"]\n  24 [size=\"109332480\", alpha=\"0.10\", expect_size=\"32799744\"] \n  25 [size=\"102239573\", alpha=\"0.13\", expect_size=\"30671872\"] \n  25 -> 29 [size =\"30671872\"]\n  25 -> 30 [size =\"30671872\"]\n  26 [size=\"49459200\", alpha=\"0.12\", expect_size=\"14837760\"] \n  26 -> 29 [size =\"14837760\"]\n  27 [size=\"42031787\", alpha=\"0.06\", expect_size=\"12609536\"] \n  28 [size=\"105376427\", alpha=\"0.07\", expect_size=\"31612928\"] \n  29 [size=\"84722347\", alpha=\"0.13\", expect_size=\"25416704\"] \n  29 -> 33 [size =\"25416704\"]\n  29 -> 34 [size =\"25416704\"]\n  30 [size=\"174086827\", alpha=\"0.06\", expect_size=\"52226048\"] \n  30 -> 32 [size =\"52226048\"]\n  30 -> 33 [size =\"52226048\"]\n  31 [size=\"29286400\", alpha=\"0.12\", expect_size=\"8785920\"] \n  31 -> 32 [size =\"8785920\"]\n  31 -> 33 [size =\"8785920\"]\n  31 -> 34 [size =\"8785920\"]\n  31 -> 35 [size =\"8785920\"]\n  32 [size=\"164072107\", alpha=\"0.18\", expect_size=\"49221632\"] \n  33 [size=\"125535573\", alpha=\"0.14\", expect_size=\"37660672\"] \n  34 [size=\"56910507\", alpha=\"0.05\", expect_size=\"17073152\"] \n  35 [size=\"137216000\", alpha=\"0.16\", expect_size=\"41164800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34846720\", alpha=\"0.04\", expect_size=\"10454016\"] \n  1 -> 2 [size =\"10454016\"]\n  2 [size=\"99983360\", alpha=\"0.07\", expect_size=\"29995008\"] \n  2 -> 3 [size =\"29995008\"]\n  3 [size=\"163525973\", alpha=\"0.07\", expect_size=\"49057792\"] \n  3 -> 4 [size =\"49057792\"]\n  4 [size=\"94289920\", alpha=\"0.16\", expect_size=\"28286976\"] \n  4 -> 5 [size =\"28286976\"]\n  5 [size=\"35409920\", alpha=\"0.09\", expect_size=\"10622976\"] \n  5 -> 6 [size =\"10622976\"]\n  6 [size=\"41164800\", alpha=\"0.15\", expect_size=\"12349440\"] \n  6 -> 7 [size =\"12349440\"]\n  7 [size=\"168936107\", alpha=\"0.20\", expect_size=\"50680832\"] \n  7 -> 8 [size =\"50680832\"]\n  8 [size=\"34641920\", alpha=\"0.06\", expect_size=\"10392576\"] \n  8 -> 9 [size =\"10392576\"]\n  9 [size=\"66768213\", alpha=\"0.20\", expect_size=\"20030464\"] \n  9 -> 10 [size =\"20030464\"]\n  10 [size=\"120183467\", alpha=\"0.10\", expect_size=\"36055040\"] \n  10 -> 11 [size =\"36055040\"]\n  11 [size=\"79967573\", alpha=\"0.15\", expect_size=\"23990272\"] \n  11 -> 12 [size =\"23990272\"]\n  12 [size=\"113745920\", alpha=\"0.18\", expect_size=\"34123776\"] \n  12 -> 13 [size =\"34123776\"]\n  13 [size=\"172400640\", alpha=\"0.09\", expect_size=\"51720192\"] \n  13 -> 14 [size =\"51720192\"]\n  14 [size=\"71932587\", alpha=\"0.18\", expect_size=\"21579776\"] \n  14 -> 15 [size =\"21579776\"]\n  15 [size=\"42168320\", alpha=\"0.11\", expect_size=\"12650496\"] \n  15 -> 16 [size =\"12650496\"]\n  16 [size=\"112168960\", alpha=\"0.10\", expect_size=\"33650688\"] \n  16 -> 17 [size =\"33650688\"]\n  17 [size=\"73069227\", alpha=\"0.19\", expect_size=\"21920768\"] \n  17 -> 18 [size =\"21920768\"]\n  18 [size=\"70693547\", alpha=\"0.12\", expect_size=\"21208064\"] \n  18 -> 19 [size =\"21208064\"]\n  19 [size=\"119289173\", alpha=\"0.04\", expect_size=\"35786752\"] \n  19 -> 20 [size =\"35786752\"]\n  20 [size=\"117179733\", alpha=\"0.00\", expect_size=\"35153920\"] \n  20 -> 21 [size =\"35153920\"]\n  21 [size=\"38376107\", alpha=\"0.19\", expect_size=\"11512832\"] \n  21 -> 22 [size =\"11512832\"]\n  22 [size=\"157917867\", alpha=\"0.09\", expect_size=\"47375360\"] \n  22 -> 23 [size =\"47375360\"]\n  23 [size=\"141066240\", alpha=\"0.16\", expect_size=\"42319872\"] \n  23 -> 24 [size =\"42319872\"]\n  24 [size=\"56688640\", alpha=\"0.14\", expect_size=\"17006592\"] \n  24 -> 25 [size =\"17006592\"]\n  25 [size=\"44219733\", alpha=\"0.14\", expect_size=\"13265920\"] \n  25 -> 26 [size =\"13265920\"]\n  26 [size=\"128535893\", alpha=\"0.17\", expect_size=\"38560768\"] \n  26 -> 27 [size =\"38560768\"]\n  27 [size=\"47435093\", alpha=\"0.19\", expect_size=\"14230528\"] \n  27 -> 28 [size =\"14230528\"]\n  28 [size=\"39485440\", alpha=\"0.04\", expect_size=\"11845632\"] \n  28 -> 29 [size =\"11845632\"]\n  29 [size=\"132055040\", alpha=\"0.14\", expect_size=\"39616512\"] \n  29 -> 30 [size =\"39616512\"]\n  30 [size=\"161761280\", alpha=\"0.18\", expect_size=\"48528384\"] \n  30 -> 31 [size =\"48528384\"]\n  31 [size=\"164925440\", alpha=\"0.10\", expect_size=\"49477632\"] \n  31 -> 32 [size =\"49477632\"]\n  32 [size=\"158914560\", alpha=\"0.14\", expect_size=\"47674368\"] \n  32 -> 33 [size =\"47674368\"]\n  33 [size=\"68952747\", alpha=\"0.17\", expect_size=\"20685824\"] \n  33 -> 34 [size =\"20685824\"]\n  34 [size=\"41096533\", alpha=\"0.08\", expect_size=\"12328960\"] \n  34 -> 35 [size =\"12328960\"]\n  35 [size=\"152156160\", alpha=\"0.01\", expect_size=\"45646848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77529600\", alpha=\"0.04\", expect_size=\"31011840\"] \n  1 -> 25 [size =\"31011840\"]\n  1 -> 27 [size =\"31011840\"]\n  2 [size=\"94963200\", alpha=\"0.10\", expect_size=\"37985280\"] \n  2 -> 21 [size =\"37985280\"]\n  2 -> 25 [size =\"37985280\"]\n  2 -> 26 [size =\"37985280\"]\n  2 -> 27 [size =\"37985280\"]\n  2 -> 28 [size =\"37985280\"]\n  3 [size=\"110922240\", alpha=\"0.05\", expect_size=\"44368896\"] \n  3 -> 18 [size =\"44368896\"]\n  3 -> 21 [size =\"44368896\"]\n  3 -> 22 [size =\"44368896\"]\n  3 -> 25 [size =\"44368896\"]\n  3 -> 27 [size =\"44368896\"]\n  4 [size=\"106649600\", alpha=\"0.17\", expect_size=\"42659840\"] \n  4 -> 27 [size =\"42659840\"]\n  4 -> 29 [size =\"42659840\"]\n  5 [size=\"56901120\", alpha=\"0.14\", expect_size=\"22760448\"] \n  5 -> 17 [size =\"22760448\"]\n  5 -> 19 [size =\"22760448\"]\n  5 -> 20 [size =\"22760448\"]\n  5 -> 22 [size =\"22760448\"]\n  6 [size=\"15918080\", alpha=\"0.20\", expect_size=\"6367232\"] \n  6 -> 19 [size =\"6367232\"]\n  6 -> 22 [size =\"6367232\"]\n  6 -> 24 [size =\"6367232\"]\n  6 -> 28 [size =\"6367232\"]\n  6 -> 29 [size =\"6367232\"]\n  7 [size=\"121466880\", alpha=\"0.15\", expect_size=\"48586752\"] \n  7 -> 22 [size =\"48586752\"]\n  7 -> 29 [size =\"48586752\"]\n  8 [size=\"36382720\", alpha=\"0.02\", expect_size=\"14553088\"] \n  8 -> 18 [size =\"14553088\"]\n  8 -> 22 [size =\"14553088\"]\n  8 -> 23 [size =\"14553088\"]\n  8 -> 25 [size =\"14553088\"]\n  8 -> 28 [size =\"14553088\"]\n  9 [size=\"39137280\", alpha=\"0.02\", expect_size=\"15654912\"] \n  9 -> 18 [size =\"15654912\"]\n  9 -> 19 [size =\"15654912\"]\n  9 -> 21 [size =\"15654912\"]\n  9 -> 26 [size =\"15654912\"]\n  9 -> 28 [size =\"15654912\"]\n  9 -> 29 [size =\"15654912\"]\n  10 [size=\"62238720\", alpha=\"0.14\", expect_size=\"24895488\"] \n  10 -> 25 [size =\"24895488\"]\n  10 -> 28 [size =\"24895488\"]\n  11 [size=\"114316800\", alpha=\"0.09\", expect_size=\"45726720\"] \n  11 -> 17 [size =\"45726720\"]\n  11 -> 21 [size =\"45726720\"]\n  11 -> 28 [size =\"45726720\"]\n  12 [size=\"18997760\", alpha=\"0.19\", expect_size=\"7599104\"] \n  12 -> 29 [size =\"7599104\"]\n  13 [size=\"76193280\", alpha=\"0.08\", expect_size=\"30477312\"] \n  13 -> 19 [size =\"30477312\"]\n  13 -> 26 [size =\"30477312\"]\n  14 [size=\"107358720\", alpha=\"0.11\", expect_size=\"42943488\"] \n  14 -> 17 [size =\"42943488\"]\n  14 -> 21 [size =\"42943488\"]\n  15 [size=\"92352000\", alpha=\"0.11\", expect_size=\"36940800\"] \n  15 -> 20 [size =\"36940800\"]\n  15 -> 25 [size =\"36940800\"]\n  15 -> 26 [size =\"36940800\"]\n  15 -> 28 [size =\"36940800\"]\n  16 [size=\"55836160\", alpha=\"0.18\", expect_size=\"22334464\"] \n  16 -> 23 [size =\"22334464\"]\n  16 -> 25 [size =\"22334464\"]\n  16 -> 26 [size =\"22334464\"]\n  16 -> 27 [size =\"22334464\"]\n  17 [size=\"53742080\", alpha=\"0.02\", expect_size=\"21496832\"] \n  17 -> 30 [size =\"21496832\"]\n  17 -> 31 [size =\"21496832\"]\n  18 [size=\"25953280\", alpha=\"0.15\", expect_size=\"10381312\"] \n  18 -> 30 [size =\"10381312\"]\n  18 -> 33 [size =\"10381312\"]\n  19 [size=\"37762560\", alpha=\"0.03\", expect_size=\"15105024\"] \n  19 -> 32 [size =\"15105024\"]\n  20 [size=\"49177600\", alpha=\"0.07\", expect_size=\"19671040\"] \n  20 -> 33 [size =\"19671040\"]\n  21 [size=\"131054080\", alpha=\"0.03\", expect_size=\"52421632\"] \n  22 [size=\"65402880\", alpha=\"0.13\", expect_size=\"26161152\"] \n  22 -> 33 [size =\"26161152\"]\n  22 -> 35 [size =\"26161152\"]\n  23 [size=\"59471360\", alpha=\"0.20\", expect_size=\"23788544\"] \n  23 -> 30 [size =\"23788544\"]\n  23 -> 31 [size =\"23788544\"]\n  23 -> 34 [size =\"23788544\"]\n  24 [size=\"103720960\", alpha=\"0.02\", expect_size=\"41488384\"] \n  24 -> 31 [size =\"41488384\"]\n  24 -> 32 [size =\"41488384\"]\n  25 [size=\"49607680\", alpha=\"0.11\", expect_size=\"19843072\"] \n  26 [size=\"112545280\", alpha=\"0.02\", expect_size=\"45018112\"] \n  26 -> 31 [size =\"45018112\"]\n  27 [size=\"100477440\", alpha=\"0.10\", expect_size=\"40190976\"] \n  27 -> 31 [size =\"40190976\"]\n  27 -> 33 [size =\"40190976\"]\n  28 [size=\"114670080\", alpha=\"0.02\", expect_size=\"45868032\"] \n  29 [size=\"82882560\", alpha=\"0.19\", expect_size=\"33153024\"] \n  29 -> 33 [size =\"33153024\"]\n  30 [size=\"97766400\", alpha=\"0.04\", expect_size=\"39106560\"] \n  31 [size=\"24030720\", alpha=\"0.07\", expect_size=\"9612288\"] \n  32 [size=\"44062720\", alpha=\"0.10\", expect_size=\"17625088\"] \n  33 [size=\"121756160\", alpha=\"0.04\", expect_size=\"48702464\"] \n  34 [size=\"118999040\", alpha=\"0.14\", expect_size=\"47599616\"] \n  35 [size=\"129333760\", alpha=\"0.18\", expect_size=\"51733504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75681280\", alpha=\"0.10\", expect_size=\"30272512\"] \n  1 -> 32 [size =\"30272512\"]\n  2 [size=\"106470400\", alpha=\"0.03\", expect_size=\"42588160\"] \n  3 [size=\"49400320\", alpha=\"0.08\", expect_size=\"19760128\"] \n  3 -> 33 [size =\"19760128\"]\n  4 [size=\"38126080\", alpha=\"0.15\", expect_size=\"15250432\"] \n  5 [size=\"28124160\", alpha=\"0.13\", expect_size=\"11249664\"] \n  5 -> 31 [size =\"11249664\"]\n  5 -> 32 [size =\"11249664\"]\n  6 [size=\"24488960\", alpha=\"0.16\", expect_size=\"9795584\"] \n  6 -> 32 [size =\"9795584\"]\n  7 [size=\"14120960\", alpha=\"0.03\", expect_size=\"5648384\"] \n  7 -> 32 [size =\"5648384\"]\n  7 -> 35 [size =\"5648384\"]\n  8 [size=\"62906880\", alpha=\"0.13\", expect_size=\"25162752\"] \n  8 -> 33 [size =\"25162752\"]\n  9 [size=\"90954240\", alpha=\"0.19\", expect_size=\"36381696\"] \n  9 -> 33 [size =\"36381696\"]\n  9 -> 34 [size =\"36381696\"]\n  9 -> 35 [size =\"36381696\"]\n  10 [size=\"90836480\", alpha=\"0.18\", expect_size=\"36334592\"] \n  10 -> 31 [size =\"36334592\"]\n  10 -> 35 [size =\"36334592\"]\n  11 [size=\"88363520\", alpha=\"0.07\", expect_size=\"35345408\"] \n  11 -> 31 [size =\"35345408\"]\n  11 -> 34 [size =\"35345408\"]\n  11 -> 35 [size =\"35345408\"]\n  12 [size=\"28736000\", alpha=\"0.09\", expect_size=\"11494400\"] \n  12 -> 33 [size =\"11494400\"]\n  12 -> 35 [size =\"11494400\"]\n  13 [size=\"45652480\", alpha=\"0.20\", expect_size=\"18260992\"] \n  13 -> 33 [size =\"18260992\"]\n  14 [size=\"90078720\", alpha=\"0.17\", expect_size=\"36031488\"] \n  14 -> 33 [size =\"36031488\"]\n  15 [size=\"58864640\", alpha=\"0.01\", expect_size=\"23545856\"] \n  15 -> 32 [size =\"23545856\"]\n  16 [size=\"15531520\", alpha=\"0.02\", expect_size=\"6212608\"] \n  16 -> 32 [size =\"6212608\"]\n  16 -> 34 [size =\"6212608\"]\n  16 -> 35 [size =\"6212608\"]\n  17 [size=\"111810560\", alpha=\"0.13\", expect_size=\"44724224\"] \n  17 -> 31 [size =\"44724224\"]\n  17 -> 32 [size =\"44724224\"]\n  17 -> 33 [size =\"44724224\"]\n  18 [size=\"129008640\", alpha=\"0.01\", expect_size=\"51603456\"] \n  18 -> 31 [size =\"51603456\"]\n  19 [size=\"87726080\", alpha=\"0.13\", expect_size=\"35090432\"] \n  19 -> 31 [size =\"35090432\"]\n  20 [size=\"84477440\", alpha=\"0.16\", expect_size=\"33790976\"] \n  20 -> 33 [size =\"33790976\"]\n  20 -> 35 [size =\"33790976\"]\n  21 [size=\"75287040\", alpha=\"0.10\", expect_size=\"30114816\"] \n  22 [size=\"117770240\", alpha=\"0.19\", expect_size=\"47108096\"] \n  22 -> 33 [size =\"47108096\"]\n  22 -> 34 [size =\"47108096\"]\n  23 [size=\"51806720\", alpha=\"0.15\", expect_size=\"20722688\"] \n  23 -> 31 [size =\"20722688\"]\n  23 -> 34 [size =\"20722688\"]\n  24 [size=\"51153920\", alpha=\"0.15\", expect_size=\"20461568\"] \n  24 -> 32 [size =\"20461568\"]\n  24 -> 33 [size =\"20461568\"]\n  24 -> 34 [size =\"20461568\"]\n  25 [size=\"31761920\", alpha=\"0.17\", expect_size=\"12704768\"] \n  25 -> 34 [size =\"12704768\"]\n  26 [size=\"39293440\", alpha=\"0.02\", expect_size=\"15717376\"] \n  26 -> 33 [size =\"15717376\"]\n  26 -> 34 [size =\"15717376\"]\n  27 [size=\"50887680\", alpha=\"0.06\", expect_size=\"20355072\"] \n  27 -> 31 [size =\"20355072\"]\n  27 -> 33 [size =\"20355072\"]\n  28 [size=\"128012800\", alpha=\"0.19\", expect_size=\"51205120\"] \n  28 -> 34 [size =\"51205120\"]\n  29 [size=\"16424960\", alpha=\"0.06\", expect_size=\"6569984\"] \n  29 -> 34 [size =\"6569984\"]\n  30 [size=\"91983360\", alpha=\"0.05\", expect_size=\"36793344\"] \n  30 -> 31 [size =\"36793344\"]\n  30 -> 32 [size =\"36793344\"]\n  31 [size=\"67873280\", alpha=\"0.17\", expect_size=\"27149312\"] \n  32 [size=\"124631040\", alpha=\"0.12\", expect_size=\"49852416\"] \n  33 [size=\"119695360\", alpha=\"0.12\", expect_size=\"47878144\"] \n  34 [size=\"89359360\", alpha=\"0.06\", expect_size=\"35743744\"] \n  35 [size=\"58641920\", alpha=\"0.07\", expect_size=\"23456768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43991040\", alpha=\"0.05\", expect_size=\"17596416\"] \n  1 -> 2 [size =\"17596416\"]\n  2 [size=\"114206720\", alpha=\"0.15\", expect_size=\"45682688\"] \n  2 -> 3 [size =\"45682688\"]\n  3 [size=\"48514560\", alpha=\"0.07\", expect_size=\"19405824\"] \n  3 -> 4 [size =\"19405824\"]\n  4 [size=\"21201920\", alpha=\"0.03\", expect_size=\"8480768\"] \n  4 -> 5 [size =\"8480768\"]\n  5 [size=\"62976000\", alpha=\"0.11\", expect_size=\"25190400\"] \n  5 -> 6 [size =\"25190400\"]\n  6 [size=\"26004480\", alpha=\"0.02\", expect_size=\"10401792\"] \n  6 -> 7 [size =\"10401792\"]\n  7 [size=\"99975680\", alpha=\"0.15\", expect_size=\"39990272\"] \n  7 -> 8 [size =\"39990272\"]\n  8 [size=\"48998400\", alpha=\"0.17\", expect_size=\"19599360\"] \n  8 -> 9 [size =\"19599360\"]\n  9 [size=\"58449920\", alpha=\"0.00\", expect_size=\"23379968\"] \n  9 -> 10 [size =\"23379968\"]\n  10 [size=\"17218560\", alpha=\"0.04\", expect_size=\"6887424\"] \n  10 -> 11 [size =\"6887424\"]\n  11 [size=\"116014080\", alpha=\"0.01\", expect_size=\"46405632\"] \n  11 -> 12 [size =\"46405632\"]\n  12 [size=\"28065280\", alpha=\"0.10\", expect_size=\"11226112\"] \n  12 -> 13 [size =\"11226112\"]\n  13 [size=\"117040640\", alpha=\"0.00\", expect_size=\"46816256\"] \n  13 -> 14 [size =\"46816256\"]\n  14 [size=\"40545280\", alpha=\"0.08\", expect_size=\"16218112\"] \n  14 -> 15 [size =\"16218112\"]\n  15 [size=\"57551360\", alpha=\"0.20\", expect_size=\"23020544\"] \n  15 -> 16 [size =\"23020544\"]\n  16 [size=\"123269120\", alpha=\"0.14\", expect_size=\"49307648\"] \n  16 -> 17 [size =\"49307648\"]\n  17 [size=\"15623680\", alpha=\"0.19\", expect_size=\"6249472\"] \n  17 -> 18 [size =\"6249472\"]\n  18 [size=\"103861760\", alpha=\"0.14\", expect_size=\"41544704\"] \n  18 -> 19 [size =\"41544704\"]\n  19 [size=\"87864320\", alpha=\"0.13\", expect_size=\"35145728\"] \n  19 -> 20 [size =\"35145728\"]\n  20 [size=\"90030080\", alpha=\"0.05\", expect_size=\"36012032\"] \n  20 -> 21 [size =\"36012032\"]\n  21 [size=\"115955200\", alpha=\"0.03\", expect_size=\"46382080\"] \n  21 -> 22 [size =\"46382080\"]\n  22 [size=\"122496000\", alpha=\"0.18\", expect_size=\"48998400\"] \n  22 -> 23 [size =\"48998400\"]\n  23 [size=\"62044160\", alpha=\"0.18\", expect_size=\"24817664\"] \n  23 -> 24 [size =\"24817664\"]\n  24 [size=\"63001600\", alpha=\"0.00\", expect_size=\"25200640\"] \n  24 -> 25 [size =\"25200640\"]\n  25 [size=\"108418560\", alpha=\"0.11\", expect_size=\"43367424\"] \n  25 -> 26 [size =\"43367424\"]\n  26 [size=\"106178560\", alpha=\"0.03\", expect_size=\"42471424\"] \n  26 -> 27 [size =\"42471424\"]\n  27 [size=\"71229440\", alpha=\"0.11\", expect_size=\"28491776\"] \n  27 -> 28 [size =\"28491776\"]\n  28 [size=\"63272960\", alpha=\"0.04\", expect_size=\"25309184\"] \n  28 -> 29 [size =\"25309184\"]\n  29 [size=\"25505280\", alpha=\"0.06\", expect_size=\"10202112\"] \n  29 -> 30 [size =\"10202112\"]\n  30 [size=\"102151680\", alpha=\"0.08\", expect_size=\"40860672\"] \n  30 -> 31 [size =\"40860672\"]\n  31 [size=\"15447040\", alpha=\"0.07\", expect_size=\"6178816\"] \n  31 -> 32 [size =\"6178816\"]\n  32 [size=\"32202240\", alpha=\"0.09\", expect_size=\"12880896\"] \n  32 -> 33 [size =\"12880896\"]\n  33 [size=\"17592320\", alpha=\"0.08\", expect_size=\"7036928\"] \n  33 -> 34 [size =\"7036928\"]\n  34 [size=\"124986880\", alpha=\"0.12\", expect_size=\"49994752\"] \n  34 -> 35 [size =\"49994752\"]\n  35 [size=\"126553600\", alpha=\"0.04\", expect_size=\"50621440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36707840\", alpha=\"0.19\", expect_size=\"14683136\"] \n  1 -> 8 [size =\"14683136\"]\n  2 [size=\"60702720\", alpha=\"0.07\", expect_size=\"24281088\"] \n  2 -> 7 [size =\"24281088\"]\n  2 -> 8 [size =\"24281088\"]\n  2 -> 9 [size =\"24281088\"]\n  3 [size=\"51924480\", alpha=\"0.14\", expect_size=\"20769792\"] \n  3 -> 7 [size =\"20769792\"]\n  3 -> 9 [size =\"20769792\"]\n  4 [size=\"40842240\", alpha=\"0.10\", expect_size=\"16336896\"] \n  4 -> 8 [size =\"16336896\"]\n  4 -> 9 [size =\"16336896\"]\n  5 [size=\"102351360\", alpha=\"0.10\", expect_size=\"40940544\"] \n  5 -> 6 [size =\"40940544\"]\n  5 -> 8 [size =\"40940544\"]\n  5 -> 10 [size =\"40940544\"]\n  6 [size=\"40286720\", alpha=\"0.10\", expect_size=\"16114688\"] \n  6 -> 11 [size =\"16114688\"]\n  6 -> 14 [size =\"16114688\"]\n  7 [size=\"62254080\", alpha=\"0.15\", expect_size=\"24901632\"] \n  7 -> 11 [size =\"24901632\"]\n  7 -> 13 [size =\"24901632\"]\n  8 [size=\"51415040\", alpha=\"0.10\", expect_size=\"20566016\"] \n  8 -> 11 [size =\"20566016\"]\n  8 -> 13 [size =\"20566016\"]\n  9 [size=\"21194240\", alpha=\"0.17\", expect_size=\"8477696\"] \n  9 -> 12 [size =\"8477696\"]\n  9 -> 14 [size =\"8477696\"]\n  10 [size=\"18664960\", alpha=\"0.20\", expect_size=\"7465984\"] \n  11 [size=\"98662400\", alpha=\"0.13\", expect_size=\"39464960\"] \n  11 -> 17 [size =\"39464960\"]\n  11 -> 18 [size =\"39464960\"]\n  12 [size=\"93178880\", alpha=\"0.11\", expect_size=\"37271552\"] \n  12 -> 15 [size =\"37271552\"]\n  12 -> 16 [size =\"37271552\"]\n  13 [size=\"17899520\", alpha=\"0.15\", expect_size=\"7159808\"] \n  13 -> 15 [size =\"7159808\"]\n  14 [size=\"101094400\", alpha=\"0.10\", expect_size=\"40437760\"] \n  15 [size=\"41628160\", alpha=\"0.03\", expect_size=\"16651264\"] \n  16 [size=\"102453760\", alpha=\"0.15\", expect_size=\"40981504\"] \n  16 -> 20 [size =\"40981504\"]\n  16 -> 22 [size =\"40981504\"]\n  16 -> 23 [size =\"40981504\"]\n  17 [size=\"44198400\", alpha=\"0.15\", expect_size=\"17679360\"] \n  17 -> 21 [size =\"17679360\"]\n  18 [size=\"13647360\", alpha=\"0.02\", expect_size=\"5458944\"] \n  18 -> 19 [size =\"5458944\"]\n  19 [size=\"75397120\", alpha=\"0.12\", expect_size=\"30158848\"] \n  19 -> 24 [size =\"30158848\"]\n  19 -> 27 [size =\"30158848\"]\n  19 -> 28 [size =\"30158848\"]\n  20 [size=\"57134080\", alpha=\"0.13\", expect_size=\"22853632\"] \n  20 -> 24 [size =\"22853632\"]\n  21 [size=\"54489600\", alpha=\"0.19\", expect_size=\"21795840\"] \n  21 -> 24 [size =\"21795840\"]\n  21 -> 26 [size =\"21795840\"]\n  21 -> 27 [size =\"21795840\"]\n  22 [size=\"129856000\", alpha=\"0.13\", expect_size=\"51942400\"] \n  22 -> 25 [size =\"51942400\"]\n  22 -> 26 [size =\"51942400\"]\n  22 -> 27 [size =\"51942400\"]\n  23 [size=\"74350080\", alpha=\"0.13\", expect_size=\"29740032\"] \n  23 -> 25 [size =\"29740032\"]\n  23 -> 26 [size =\"29740032\"]\n  23 -> 27 [size =\"29740032\"]\n  23 -> 28 [size =\"29740032\"]\n  24 [size=\"42531840\", alpha=\"0.18\", expect_size=\"17012736\"] \n  24 -> 30 [size =\"17012736\"]\n  25 [size=\"103467520\", alpha=\"0.18\", expect_size=\"41387008\"] \n  25 -> 29 [size =\"41387008\"]\n  25 -> 30 [size =\"41387008\"]\n  25 -> 31 [size =\"41387008\"]\n  25 -> 32 [size =\"41387008\"]\n  26 [size=\"119961600\", alpha=\"0.02\", expect_size=\"47984640\"] \n  26 -> 31 [size =\"47984640\"]\n  27 [size=\"89413120\", alpha=\"0.15\", expect_size=\"35765248\"] \n  27 -> 29 [size =\"35765248\"]\n  27 -> 32 [size =\"35765248\"]\n  28 [size=\"57136640\", alpha=\"0.15\", expect_size=\"22854656\"] \n  28 -> 30 [size =\"22854656\"]\n  29 [size=\"67294720\", alpha=\"0.16\", expect_size=\"26917888\"] \n  29 -> 33 [size =\"26917888\"]\n  29 -> 34 [size =\"26917888\"]\n  29 -> 35 [size =\"26917888\"]\n  30 [size=\"19330560\", alpha=\"0.17\", expect_size=\"7732224\"] \n  30 -> 34 [size =\"7732224\"]\n  31 [size=\"98421760\", alpha=\"0.14\", expect_size=\"39368704\"] \n  31 -> 33 [size =\"39368704\"]\n  31 -> 35 [size =\"39368704\"]\n  32 [size=\"92241920\", alpha=\"0.03\", expect_size=\"36896768\"] \n  32 -> 34 [size =\"36896768\"]\n  32 -> 35 [size =\"36896768\"]\n  33 [size=\"48386560\", alpha=\"0.14\", expect_size=\"19354624\"] \n  34 [size=\"123637760\", alpha=\"0.20\", expect_size=\"49455104\"] \n  35 [size=\"109806080\", alpha=\"0.10\", expect_size=\"43922432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33581056\", alpha=\"0.10\", expect_size=\"16790528\"] \n  1 -> 3 [size =\"16790528\"]\n  2 [size=\"64821248\", alpha=\"0.07\", expect_size=\"32410624\"] \n  3 [size=\"47718400\", alpha=\"0.09\", expect_size=\"23859200\"] \n  3 -> 4 [size =\"23859200\"]\n  4 [size=\"68360192\", alpha=\"0.11\", expect_size=\"34180096\"] \n  4 -> 5 [size =\"34180096\"]\n  4 -> 6 [size =\"34180096\"]\n  5 [size=\"92588032\", alpha=\"0.08\", expect_size=\"46294016\"] \n  5 -> 7 [size =\"46294016\"]\n  5 -> 8 [size =\"46294016\"]\n  6 [size=\"46915584\", alpha=\"0.03\", expect_size=\"23457792\"] \n  7 [size=\"29607936\", alpha=\"0.13\", expect_size=\"14803968\"] \n  7 -> 9 [size =\"14803968\"]\n  8 [size=\"51685376\", alpha=\"0.13\", expect_size=\"25842688\"] \n  8 -> 10 [size =\"25842688\"]\n  9 [size=\"34723840\", alpha=\"0.14\", expect_size=\"17361920\"] \n  9 -> 11 [size =\"17361920\"]\n  9 -> 12 [size =\"17361920\"]\n  10 [size=\"13328384\", alpha=\"0.11\", expect_size=\"6664192\"] \n  11 [size=\"99477504\", alpha=\"0.09\", expect_size=\"49738752\"] \n  11 -> 13 [size =\"49738752\"]\n  11 -> 14 [size =\"49738752\"]\n  12 [size=\"51030016\", alpha=\"0.19\", expect_size=\"25515008\"] \n  13 [size=\"84346880\", alpha=\"0.08\", expect_size=\"42173440\"] \n  13 -> 16 [size =\"42173440\"]\n  14 [size=\"34590720\", alpha=\"0.07\", expect_size=\"17295360\"] \n  14 -> 15 [size =\"17295360\"]\n  15 [size=\"86204416\", alpha=\"0.05\", expect_size=\"43102208\"] \n  16 [size=\"29448192\", alpha=\"0.01\", expect_size=\"14724096\"] \n  16 -> 17 [size =\"14724096\"]\n  17 [size=\"45760512\", alpha=\"0.03\", expect_size=\"22880256\"] \n  17 -> 18 [size =\"22880256\"]\n  18 [size=\"12978176\", alpha=\"0.10\", expect_size=\"6489088\"] \n  18 -> 19 [size =\"6489088\"]\n  19 [size=\"72132608\", alpha=\"0.09\", expect_size=\"36066304\"] \n  19 -> 20 [size =\"36066304\"]\n  20 [size=\"44371968\", alpha=\"0.01\", expect_size=\"22185984\"] \n  20 -> 21 [size =\"22185984\"]\n  20 -> 22 [size =\"22185984\"]\n  21 [size=\"95154176\", alpha=\"0.19\", expect_size=\"47577088\"] \n  21 -> 23 [size =\"47577088\"]\n  22 [size=\"45563904\", alpha=\"0.08\", expect_size=\"22781952\"] \n  22 -> 24 [size =\"22781952\"]\n  23 [size=\"41547776\", alpha=\"0.04\", expect_size=\"20773888\"] \n  23 -> 25 [size =\"20773888\"]\n  23 -> 26 [size =\"20773888\"]\n  24 [size=\"79777792\", alpha=\"0.14\", expect_size=\"39888896\"] \n  25 [size=\"19003392\", alpha=\"0.00\", expect_size=\"9501696\"] \n  25 -> 27 [size =\"9501696\"]\n  26 [size=\"44826624\", alpha=\"0.14\", expect_size=\"22413312\"] \n  27 [size=\"49666048\", alpha=\"0.13\", expect_size=\"24833024\"] \n  27 -> 28 [size =\"24833024\"]\n  27 -> 29 [size =\"24833024\"]\n  28 [size=\"65355776\", alpha=\"0.20\", expect_size=\"32677888\"] \n  28 -> 30 [size =\"32677888\"]\n  28 -> 31 [size =\"32677888\"]\n  29 [size=\"16488448\", alpha=\"0.12\", expect_size=\"8244224\"] \n  30 [size=\"56827904\", alpha=\"0.05\", expect_size=\"28413952\"] \n  31 [size=\"62150656\", alpha=\"0.16\", expect_size=\"31075328\"] \n  31 -> 32 [size =\"31075328\"]\n  31 -> 33 [size =\"31075328\"]\n  32 [size=\"55547904\", alpha=\"0.17\", expect_size=\"27773952\"] \n  32 -> 34 [size =\"27773952\"]\n  32 -> 35 [size =\"27773952\"]\n  33 [size=\"91361280\", alpha=\"0.13\", expect_size=\"45680640\"] \n  34 [size=\"18077696\", alpha=\"0.14\", expect_size=\"9038848\"] \n  35 [size=\"82317312\", alpha=\"0.11\", expect_size=\"41158656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162655573\", alpha=\"0.10\", expect_size=\"48796672\"] \n  1 -> 5 [size =\"48796672\"]\n  1 -> 9 [size =\"48796672\"]\n  1 -> 10 [size =\"48796672\"]\n  2 [size=\"104352427\", alpha=\"0.11\", expect_size=\"31305728\"] \n  2 -> 6 [size =\"31305728\"]\n  2 -> 7 [size =\"31305728\"]\n  2 -> 8 [size =\"31305728\"]\n  3 [size=\"142851413\", alpha=\"0.19\", expect_size=\"42855424\"] \n  3 -> 5 [size =\"42855424\"]\n  3 -> 7 [size =\"42855424\"]\n  3 -> 9 [size =\"42855424\"]\n  3 -> 10 [size =\"42855424\"]\n  4 [size=\"63757653\", alpha=\"0.03\", expect_size=\"19127296\"] \n  4 -> 8 [size =\"19127296\"]\n  5 [size=\"103758507\", alpha=\"0.07\", expect_size=\"31127552\"] \n  5 -> 12 [size =\"31127552\"]\n  5 -> 13 [size =\"31127552\"]\n  5 -> 14 [size =\"31127552\"]\n  6 [size=\"51787093\", alpha=\"0.19\", expect_size=\"15536128\"] \n  6 -> 12 [size =\"15536128\"]\n  6 -> 14 [size =\"15536128\"]\n  7 [size=\"58333867\", alpha=\"0.12\", expect_size=\"17500160\"] \n  7 -> 15 [size =\"17500160\"]\n  8 [size=\"30870187\", alpha=\"0.17\", expect_size=\"9261056\"] \n  8 -> 16 [size =\"9261056\"]\n  9 [size=\"172004693\", alpha=\"0.19\", expect_size=\"51601408\"] \n  10 [size=\"48711680\", alpha=\"0.00\", expect_size=\"14613504\"] \n  10 -> 11 [size =\"14613504\"]\n  10 -> 12 [size =\"14613504\"]\n  10 -> 13 [size =\"14613504\"]\n  10 -> 14 [size =\"14613504\"]\n  11 [size=\"105335467\", alpha=\"0.00\", expect_size=\"31600640\"] \n  12 [size=\"25675093\", alpha=\"0.10\", expect_size=\"7702528\"] \n  12 -> 17 [size =\"7702528\"]\n  12 -> 18 [size =\"7702528\"]\n  12 -> 19 [size =\"7702528\"]\n  13 [size=\"115568640\", alpha=\"0.11\", expect_size=\"34670592\"] \n  14 [size=\"105314987\", alpha=\"0.12\", expect_size=\"31594496\"] \n  14 -> 17 [size =\"31594496\"]\n  14 -> 19 [size =\"31594496\"]\n  15 [size=\"128440320\", alpha=\"0.19\", expect_size=\"38532096\"] \n  15 -> 17 [size =\"38532096\"]\n  15 -> 18 [size =\"38532096\"]\n  16 [size=\"23282347\", alpha=\"0.20\", expect_size=\"6984704\"] \n  16 -> 18 [size =\"6984704\"]\n  17 [size=\"169369600\", alpha=\"0.15\", expect_size=\"50810880\"] \n  17 -> 20 [size =\"50810880\"]\n  17 -> 21 [size =\"50810880\"]\n  17 -> 22 [size =\"50810880\"]\n  18 [size=\"109202773\", alpha=\"0.12\", expect_size=\"32760832\"] \n  18 -> 23 [size =\"32760832\"]\n  19 [size=\"83162453\", alpha=\"0.05\", expect_size=\"24948736\"] \n  19 -> 22 [size =\"24948736\"]\n  20 [size=\"73366187\", alpha=\"0.18\", expect_size=\"22009856\"] \n  20 -> 24 [size =\"22009856\"]\n  20 -> 27 [size =\"22009856\"]\n  20 -> 28 [size =\"22009856\"]\n  21 [size=\"75793067\", alpha=\"0.10\", expect_size=\"22737920\"] \n  21 -> 25 [size =\"22737920\"]\n  21 -> 26 [size =\"22737920\"]\n  22 [size=\"78452053\", alpha=\"0.12\", expect_size=\"23535616\"] \n  22 -> 24 [size =\"23535616\"]\n  22 -> 25 [size =\"23535616\"]\n  22 -> 26 [size =\"23535616\"]\n  22 -> 29 [size =\"23535616\"]\n  23 [size=\"159351467\", alpha=\"0.10\", expect_size=\"47805440\"] \n  23 -> 27 [size =\"47805440\"]\n  23 -> 29 [size =\"47805440\"]\n  24 [size=\"89453227\", alpha=\"0.14\", expect_size=\"26835968\"] \n  25 [size=\"29231787\", alpha=\"0.09\", expect_size=\"8769536\"] \n  26 [size=\"22964907\", alpha=\"0.09\", expect_size=\"6889472\"] \n  27 [size=\"20305920\", alpha=\"0.14\", expect_size=\"6091776\"] \n  27 -> 31 [size =\"6091776\"]\n  27 -> 32 [size =\"6091776\"]\n  28 [size=\"138963627\", alpha=\"0.20\", expect_size=\"41689088\"] \n  28 -> 30 [size =\"41689088\"]\n  28 -> 31 [size =\"41689088\"]\n  29 [size=\"73342293\", alpha=\"0.06\", expect_size=\"22002688\"] \n  29 -> 31 [size =\"22002688\"]\n  30 [size=\"115804160\", alpha=\"0.16\", expect_size=\"34741248\"] \n  30 -> 33 [size =\"34741248\"]\n  30 -> 34 [size =\"34741248\"]\n  30 -> 35 [size =\"34741248\"]\n  31 [size=\"101806080\", alpha=\"0.17\", expect_size=\"30541824\"] \n  31 -> 35 [size =\"30541824\"]\n  32 [size=\"19244373\", alpha=\"0.19\", expect_size=\"5773312\"] \n  33 [size=\"112281600\", alpha=\"0.14\", expect_size=\"33684480\"] \n  34 [size=\"34433707\", alpha=\"0.20\", expect_size=\"10330112\"] \n  35 [size=\"146554880\", alpha=\"0.20\", expect_size=\"43966464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17272320\", alpha=\"0.10\", expect_size=\"6908928\"] \n  1 -> 5 [size =\"6908928\"]\n  1 -> 8 [size =\"6908928\"]\n  1 -> 9 [size =\"6908928\"]\n  2 [size=\"57646080\", alpha=\"0.14\", expect_size=\"23058432\"] \n  2 -> 6 [size =\"23058432\"]\n  2 -> 7 [size =\"23058432\"]\n  2 -> 9 [size =\"23058432\"]\n  3 [size=\"105344000\", alpha=\"0.06\", expect_size=\"42137600\"] \n  3 -> 8 [size =\"42137600\"]\n  4 [size=\"110374400\", alpha=\"0.09\", expect_size=\"44149760\"] \n  4 -> 8 [size =\"44149760\"]\n  5 [size=\"36147200\", alpha=\"0.05\", expect_size=\"14458880\"] \n  5 -> 10 [size =\"14458880\"]\n  5 -> 11 [size =\"14458880\"]\n  5 -> 12 [size =\"14458880\"]\n  6 [size=\"126679040\", alpha=\"0.08\", expect_size=\"50671616\"] \n  6 -> 12 [size =\"50671616\"]\n  6 -> 14 [size =\"50671616\"]\n  7 [size=\"93570560\", alpha=\"0.06\", expect_size=\"37428224\"] \n  7 -> 11 [size =\"37428224\"]\n  7 -> 14 [size =\"37428224\"]\n  8 [size=\"97594880\", alpha=\"0.15\", expect_size=\"39037952\"] \n  8 -> 10 [size =\"39037952\"]\n  9 [size=\"65064960\", alpha=\"0.10\", expect_size=\"26025984\"] \n  9 -> 10 [size =\"26025984\"]\n  9 -> 11 [size =\"26025984\"]\n  9 -> 13 [size =\"26025984\"]\n  10 [size=\"16135680\", alpha=\"0.06\", expect_size=\"6454272\"] \n  11 [size=\"128371200\", alpha=\"0.19\", expect_size=\"51348480\"] \n  11 -> 17 [size =\"51348480\"]\n  11 -> 18 [size =\"51348480\"]\n  11 -> 19 [size =\"51348480\"]\n  12 [size=\"71073280\", alpha=\"0.15\", expect_size=\"28429312\"] \n  12 -> 15 [size =\"28429312\"]\n  12 -> 19 [size =\"28429312\"]\n  13 [size=\"33026560\", alpha=\"0.05\", expect_size=\"13210624\"] \n  13 -> 19 [size =\"13210624\"]\n  14 [size=\"68554240\", alpha=\"0.14\", expect_size=\"27421696\"] \n  14 -> 16 [size =\"27421696\"]\n  14 -> 17 [size =\"27421696\"]\n  15 [size=\"124561920\", alpha=\"0.03\", expect_size=\"49824768\"] \n  15 -> 21 [size =\"49824768\"]\n  16 [size=\"35174400\", alpha=\"0.03\", expect_size=\"14069760\"] \n  17 [size=\"81656320\", alpha=\"0.06\", expect_size=\"32662528\"] \n  17 -> 20 [size =\"32662528\"]\n  17 -> 23 [size =\"32662528\"]\n  18 [size=\"118325760\", alpha=\"0.08\", expect_size=\"47330304\"] \n  18 -> 21 [size =\"47330304\"]\n  19 [size=\"88424960\", alpha=\"0.08\", expect_size=\"35369984\"] \n  19 -> 20 [size =\"35369984\"]\n  19 -> 21 [size =\"35369984\"]\n  19 -> 22 [size =\"35369984\"]\n  19 -> 24 [size =\"35369984\"]\n  20 [size=\"28546560\", alpha=\"0.07\", expect_size=\"11418624\"] \n  20 -> 29 [size =\"11418624\"]\n  21 [size=\"63344640\", alpha=\"0.06\", expect_size=\"25337856\"] \n  21 -> 26 [size =\"25337856\"]\n  22 [size=\"59701760\", alpha=\"0.13\", expect_size=\"23880704\"] \n  22 -> 27 [size =\"23880704\"]\n  22 -> 29 [size =\"23880704\"]\n  23 [size=\"32936960\", alpha=\"0.16\", expect_size=\"13174784\"] \n  23 -> 25 [size =\"13174784\"]\n  23 -> 28 [size =\"13174784\"]\n  23 -> 29 [size =\"13174784\"]\n  24 [size=\"61038080\", alpha=\"0.15\", expect_size=\"24415232\"] \n  24 -> 28 [size =\"24415232\"]\n  25 [size=\"24647680\", alpha=\"0.18\", expect_size=\"9859072\"] \n  25 -> 34 [size =\"9859072\"]\n  26 [size=\"42252800\", alpha=\"0.20\", expect_size=\"16901120\"] \n  26 -> 31 [size =\"16901120\"]\n  26 -> 32 [size =\"16901120\"]\n  26 -> 33 [size =\"16901120\"]\n  26 -> 34 [size =\"16901120\"]\n  27 [size=\"58600960\", alpha=\"0.16\", expect_size=\"23440384\"] \n  27 -> 33 [size =\"23440384\"]\n  28 [size=\"95055360\", alpha=\"0.06\", expect_size=\"38022144\"] \n  28 -> 30 [size =\"38022144\"]\n  28 -> 33 [size =\"38022144\"]\n  28 -> 34 [size =\"38022144\"]\n  29 [size=\"21765120\", alpha=\"0.05\", expect_size=\"8706048\"] \n  30 [size=\"70553600\", alpha=\"0.04\", expect_size=\"28221440\"] \n  31 [size=\"111265280\", alpha=\"0.03\", expect_size=\"44506112\"] \n  32 [size=\"30100480\", alpha=\"0.12\", expect_size=\"12040192\"] \n  33 [size=\"107530240\", alpha=\"0.04\", expect_size=\"43012096\"] \n  34 [size=\"81896960\", alpha=\"0.06\", expect_size=\"32758784\"] \n  34 -> 35 [size =\"32758784\"]\n  35 [size=\"50467840\", alpha=\"0.06\", expect_size=\"20187136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107564373\", alpha=\"0.19\", expect_size=\"32269312\"] \n  1 -> 24 [size =\"32269312\"]\n  1 -> 26 [size =\"32269312\"]\n  1 -> 29 [size =\"32269312\"]\n  1 -> 30 [size =\"32269312\"]\n  1 -> 31 [size =\"32269312\"]\n  2 [size=\"149800960\", alpha=\"0.11\", expect_size=\"44940288\"] \n  2 -> 25 [size =\"44940288\"]\n  2 -> 29 [size =\"44940288\"]\n  2 -> 31 [size =\"44940288\"]\n  2 -> 34 [size =\"44940288\"]\n  2 -> 35 [size =\"44940288\"]\n  3 [size=\"119729493\", alpha=\"0.11\", expect_size=\"35918848\"] \n  3 -> 24 [size =\"35918848\"]\n  3 -> 25 [size =\"35918848\"]\n  3 -> 26 [size =\"35918848\"]\n  3 -> 29 [size =\"35918848\"]\n  3 -> 30 [size =\"35918848\"]\n  3 -> 33 [size =\"35918848\"]\n  4 [size=\"49906347\", alpha=\"0.06\", expect_size=\"14971904\"] \n  4 -> 24 [size =\"14971904\"]\n  4 -> 25 [size =\"14971904\"]\n  4 -> 26 [size =\"14971904\"]\n  4 -> 27 [size =\"14971904\"]\n  4 -> 29 [size =\"14971904\"]\n  4 -> 34 [size =\"14971904\"]\n  5 [size=\"138769067\", alpha=\"0.13\", expect_size=\"41630720\"] \n  5 -> 29 [size =\"41630720\"]\n  5 -> 31 [size =\"41630720\"]\n  5 -> 33 [size =\"41630720\"]\n  6 [size=\"152838827\", alpha=\"0.16\", expect_size=\"45851648\"] \n  6 -> 26 [size =\"45851648\"]\n  6 -> 28 [size =\"45851648\"]\n  6 -> 29 [size =\"45851648\"]\n  6 -> 31 [size =\"45851648\"]\n  7 [size=\"151057067\", alpha=\"0.13\", expect_size=\"45317120\"] \n  7 -> 23 [size =\"45317120\"]\n  7 -> 26 [size =\"45317120\"]\n  7 -> 27 [size =\"45317120\"]\n  7 -> 29 [size =\"45317120\"]\n  7 -> 31 [size =\"45317120\"]\n  7 -> 34 [size =\"45317120\"]\n  7 -> 35 [size =\"45317120\"]\n  8 [size=\"51493547\", alpha=\"0.17\", expect_size=\"15448064\"] \n  8 -> 23 [size =\"15448064\"]\n  8 -> 24 [size =\"15448064\"]\n  8 -> 25 [size =\"15448064\"]\n  8 -> 26 [size =\"15448064\"]\n  8 -> 27 [size =\"15448064\"]\n  8 -> 28 [size =\"15448064\"]\n  8 -> 29 [size =\"15448064\"]\n  8 -> 30 [size =\"15448064\"]\n  8 -> 31 [size =\"15448064\"]\n  8 -> 33 [size =\"15448064\"]\n  9 [size=\"35607893\", alpha=\"0.10\", expect_size=\"10682368\"] \n  9 -> 23 [size =\"10682368\"]\n  9 -> 24 [size =\"10682368\"]\n  9 -> 25 [size =\"10682368\"]\n  9 -> 26 [size =\"10682368\"]\n  9 -> 27 [size =\"10682368\"]\n  9 -> 28 [size =\"10682368\"]\n  9 -> 29 [size =\"10682368\"]\n  9 -> 30 [size =\"10682368\"]\n  9 -> 31 [size =\"10682368\"]\n  10 [size=\"74144427\", alpha=\"0.13\", expect_size=\"22243328\"] \n  10 -> 23 [size =\"22243328\"]\n  10 -> 25 [size =\"22243328\"]\n  10 -> 26 [size =\"22243328\"]\n  10 -> 29 [size =\"22243328\"]\n  10 -> 31 [size =\"22243328\"]\n  10 -> 33 [size =\"22243328\"]\n  10 -> 35 [size =\"22243328\"]\n  11 [size=\"82558293\", alpha=\"0.01\", expect_size=\"24767488\"] \n  11 -> 23 [size =\"24767488\"]\n  11 -> 25 [size =\"24767488\"]\n  11 -> 26 [size =\"24767488\"]\n  11 -> 29 [size =\"24767488\"]\n  11 -> 30 [size =\"24767488\"]\n  11 -> 31 [size =\"24767488\"]\n  11 -> 34 [size =\"24767488\"]\n  12 [size=\"75776000\", alpha=\"0.01\", expect_size=\"22732800\"] \n  12 -> 23 [size =\"22732800\"]\n  12 -> 25 [size =\"22732800\"]\n  12 -> 26 [size =\"22732800\"]\n  12 -> 28 [size =\"22732800\"]\n  12 -> 29 [size =\"22732800\"]\n  12 -> 31 [size =\"22732800\"]\n  12 -> 32 [size =\"22732800\"]\n  13 [size=\"161576960\", alpha=\"0.08\", expect_size=\"48473088\"] \n  13 -> 23 [size =\"48473088\"]\n  13 -> 25 [size =\"48473088\"]\n  13 -> 28 [size =\"48473088\"]\n  13 -> 29 [size =\"48473088\"]\n  13 -> 29 [size =\"48473088\"]\n  13 -> 30 [size =\"48473088\"]\n  13 -> 31 [size =\"48473088\"]\n  13 -> 32 [size =\"48473088\"]\n  14 [size=\"88872960\", alpha=\"0.00\", expect_size=\"26661888\"] \n  14 -> 23 [size =\"26661888\"]\n  14 -> 25 [size =\"26661888\"]\n  14 -> 27 [size =\"26661888\"]\n  14 -> 29 [size =\"26661888\"]\n  14 -> 31 [size =\"26661888\"]\n  14 -> 33 [size =\"26661888\"]\n  15 [size=\"133877760\", alpha=\"0.08\", expect_size=\"40163328\"] \n  15 -> 23 [size =\"40163328\"]\n  15 -> 25 [size =\"40163328\"]\n  15 -> 26 [size =\"40163328\"]\n  15 -> 27 [size =\"40163328\"]\n  15 -> 29 [size =\"40163328\"]\n  15 -> 31 [size =\"40163328\"]\n  16 [size=\"81978027\", alpha=\"0.05\", expect_size=\"24593408\"] \n  16 -> 23 [size =\"24593408\"]\n  16 -> 24 [size =\"24593408\"]\n  16 -> 25 [size =\"24593408\"]\n  16 -> 26 [size =\"24593408\"]\n  16 -> 27 [size =\"24593408\"]\n  16 -> 28 [size =\"24593408\"]\n  16 -> 29 [size =\"24593408\"]\n  16 -> 30 [size =\"24593408\"]\n  16 -> 31 [size =\"24593408\"]\n  16 -> 32 [size =\"24593408\"]\n  16 -> 33 [size =\"24593408\"]\n  16 -> 34 [size =\"24593408\"]\n  17 [size=\"51271680\", alpha=\"0.16\", expect_size=\"15381504\"] \n  17 -> 23 [size =\"15381504\"]\n  17 -> 25 [size =\"15381504\"]\n  17 -> 25 [size =\"15381504\"]\n  17 -> 26 [size =\"15381504\"]\n  17 -> 27 [size =\"15381504\"]\n  17 -> 29 [size =\"15381504\"]\n  17 -> 31 [size =\"15381504\"]\n  17 -> 35 [size =\"15381504\"]\n  18 [size=\"154265600\", alpha=\"0.15\", expect_size=\"46279680\"] \n  18 -> 23 [size =\"46279680\"]\n  18 -> 26 [size =\"46279680\"]\n  18 -> 27 [size =\"46279680\"]\n  18 -> 28 [size =\"46279680\"]\n  18 -> 31 [size =\"46279680\"]\n  18 -> 32 [size =\"46279680\"]\n  19 [size=\"132287147\", alpha=\"0.07\", expect_size=\"39686144\"] \n  19 -> 23 [size =\"39686144\"]\n  19 -> 24 [size =\"39686144\"]\n  19 -> 25 [size =\"39686144\"]\n  19 -> 30 [size =\"39686144\"]\n  19 -> 31 [size =\"39686144\"]\n  19 -> 32 [size =\"39686144\"]\n  20 [size=\"54306133\", alpha=\"0.13\", expect_size=\"16291840\"] \n  20 -> 24 [size =\"16291840\"]\n  20 -> 24 [size =\"16291840\"]\n  20 -> 26 [size =\"16291840\"]\n  20 -> 27 [size =\"16291840\"]\n  20 -> 31 [size =\"16291840\"]\n  20 -> 32 [size =\"16291840\"]\n  20 -> 33 [size =\"16291840\"]\n  20 -> 35 [size =\"16291840\"]\n  21 [size=\"157706240\", alpha=\"0.11\", expect_size=\"47311872\"] \n  21 -> 26 [size =\"47311872\"]\n  21 -> 27 [size =\"47311872\"]\n  21 -> 28 [size =\"47311872\"]\n  21 -> 29 [size =\"47311872\"]\n  21 -> 31 [size =\"47311872\"]\n  21 -> 33 [size =\"47311872\"]\n  22 [size=\"164662613\", alpha=\"0.05\", expect_size=\"49398784\"] \n  22 -> 25 [size =\"49398784\"]\n  22 -> 26 [size =\"49398784\"]\n  22 -> 27 [size =\"49398784\"]\n  22 -> 28 [size =\"49398784\"]\n  22 -> 29 [size =\"49398784\"]\n  23 [size=\"18346667\", alpha=\"0.13\", expect_size=\"5504000\"] \n  24 [size=\"83510613\", alpha=\"0.04\", expect_size=\"25053184\"] \n  25 [size=\"87005867\", alpha=\"0.11\", expect_size=\"26101760\"] \n  26 [size=\"151227733\", alpha=\"0.15\", expect_size=\"45368320\"] \n  27 [size=\"33324373\", alpha=\"0.17\", expect_size=\"9997312\"] \n  28 [size=\"162259627\", alpha=\"0.02\", expect_size=\"48677888\"] \n  29 [size=\"126474240\", alpha=\"0.10\", expect_size=\"37942272\"] \n  30 [size=\"22603093\", alpha=\"0.05\", expect_size=\"6780928\"] \n  31 [size=\"124651520\", alpha=\"0.08\", expect_size=\"37395456\"] \n  32 [size=\"50848427\", alpha=\"0.19\", expect_size=\"15254528\"] \n  33 [size=\"90811733\", alpha=\"0.08\", expect_size=\"27243520\"] \n  34 [size=\"32218453\", alpha=\"0.06\", expect_size=\"9665536\"] \n  35 [size=\"64791893\", alpha=\"0.19\", expect_size=\"19437568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45335893\", alpha=\"0.06\", expect_size=\"13600768\"] \n  1 -> 25 [size =\"13600768\"]\n  1 -> 26 [size =\"13600768\"]\n  1 -> 29 [size =\"13600768\"]\n  1 -> 31 [size =\"13600768\"]\n  1 -> 34 [size =\"13600768\"]\n  1 -> 35 [size =\"13600768\"]\n  2 [size=\"61777920\", alpha=\"0.03\", expect_size=\"18533376\"] \n  2 -> 24 [size =\"18533376\"]\n  2 -> 26 [size =\"18533376\"]\n  2 -> 31 [size =\"18533376\"]\n  3 [size=\"136915627\", alpha=\"0.11\", expect_size=\"41074688\"] \n  3 -> 23 [size =\"41074688\"]\n  3 -> 27 [size =\"41074688\"]\n  3 -> 28 [size =\"41074688\"]\n  3 -> 29 [size =\"41074688\"]\n  3 -> 33 [size =\"41074688\"]\n  4 [size=\"100488533\", alpha=\"0.18\", expect_size=\"30146560\"] \n  4 -> 25 [size =\"30146560\"]\n  4 -> 27 [size =\"30146560\"]\n  4 -> 28 [size =\"30146560\"]\n  4 -> 33 [size =\"30146560\"]\n  4 -> 34 [size =\"30146560\"]\n  5 [size=\"135686827\", alpha=\"0.01\", expect_size=\"40706048\"] \n  5 -> 24 [size =\"40706048\"]\n  5 -> 26 [size =\"40706048\"]\n  5 -> 27 [size =\"40706048\"]\n  5 -> 31 [size =\"40706048\"]\n  5 -> 33 [size =\"40706048\"]\n  5 -> 34 [size =\"40706048\"]\n  6 [size=\"78127787\", alpha=\"0.03\", expect_size=\"23438336\"] \n  6 -> 23 [size =\"23438336\"]\n  6 -> 25 [size =\"23438336\"]\n  6 -> 27 [size =\"23438336\"]\n  6 -> 28 [size =\"23438336\"]\n  6 -> 30 [size =\"23438336\"]\n  6 -> 35 [size =\"23438336\"]\n  7 [size=\"173137920\", alpha=\"0.01\", expect_size=\"51941376\"] \n  7 -> 23 [size =\"51941376\"]\n  7 -> 25 [size =\"51941376\"]\n  7 -> 26 [size =\"51941376\"]\n  7 -> 27 [size =\"51941376\"]\n  7 -> 28 [size =\"51941376\"]\n  7 -> 30 [size =\"51941376\"]\n  7 -> 33 [size =\"51941376\"]\n  7 -> 34 [size =\"51941376\"]\n  7 -> 35 [size =\"51941376\"]\n  8 [size=\"167403520\", alpha=\"0.06\", expect_size=\"50221056\"] \n  8 -> 23 [size =\"50221056\"]\n  8 -> 25 [size =\"50221056\"]\n  8 -> 28 [size =\"50221056\"]\n  8 -> 33 [size =\"50221056\"]\n  8 -> 34 [size =\"50221056\"]\n  8 -> 35 [size =\"50221056\"]\n  9 [size=\"100587520\", alpha=\"0.04\", expect_size=\"30176256\"] \n  9 -> 23 [size =\"30176256\"]\n  9 -> 25 [size =\"30176256\"]\n  9 -> 27 [size =\"30176256\"]\n  9 -> 32 [size =\"30176256\"]\n  9 -> 33 [size =\"30176256\"]\n  10 [size=\"93026987\", alpha=\"0.11\", expect_size=\"27908096\"] \n  10 -> 23 [size =\"27908096\"]\n  10 -> 25 [size =\"27908096\"]\n  10 -> 26 [size =\"27908096\"]\n  10 -> 27 [size =\"27908096\"]\n  10 -> 28 [size =\"27908096\"]\n  10 -> 30 [size =\"27908096\"]\n  10 -> 31 [size =\"27908096\"]\n  10 -> 33 [size =\"27908096\"]\n  10 -> 34 [size =\"27908096\"]\n  11 [size=\"73885013\", alpha=\"0.12\", expect_size=\"22165504\"] \n  11 -> 23 [size =\"22165504\"]\n  11 -> 24 [size =\"22165504\"]\n  11 -> 25 [size =\"22165504\"]\n  11 -> 27 [size =\"22165504\"]\n  11 -> 28 [size =\"22165504\"]\n  11 -> 29 [size =\"22165504\"]\n  11 -> 31 [size =\"22165504\"]\n  11 -> 33 [size =\"22165504\"]\n  11 -> 34 [size =\"22165504\"]\n  12 [size=\"124757333\", alpha=\"0.17\", expect_size=\"37427200\"] \n  12 -> 23 [size =\"37427200\"]\n  12 -> 24 [size =\"37427200\"]\n  12 -> 26 [size =\"37427200\"]\n  12 -> 27 [size =\"37427200\"]\n  12 -> 28 [size =\"37427200\"]\n  12 -> 30 [size =\"37427200\"]\n  12 -> 33 [size =\"37427200\"]\n  12 -> 33 [size =\"37427200\"]\n  12 -> 34 [size =\"37427200\"]\n  13 [size=\"145831253\", alpha=\"0.07\", expect_size=\"43749376\"] \n  13 -> 23 [size =\"43749376\"]\n  13 -> 26 [size =\"43749376\"]\n  13 -> 27 [size =\"43749376\"]\n  13 -> 27 [size =\"43749376\"]\n  13 -> 29 [size =\"43749376\"]\n  13 -> 34 [size =\"43749376\"]\n  13 -> 35 [size =\"43749376\"]\n  14 [size=\"75847680\", alpha=\"0.05\", expect_size=\"22754304\"] \n  14 -> 23 [size =\"22754304\"]\n  14 -> 25 [size =\"22754304\"]\n  14 -> 26 [size =\"22754304\"]\n  14 -> 30 [size =\"22754304\"]\n  15 [size=\"58228053\", alpha=\"0.11\", expect_size=\"17468416\"] \n  15 -> 23 [size =\"17468416\"]\n  15 -> 31 [size =\"17468416\"]\n  15 -> 34 [size =\"17468416\"]\n  15 -> 35 [size =\"17468416\"]\n  16 [size=\"63201280\", alpha=\"0.16\", expect_size=\"18960384\"] \n  16 -> 23 [size =\"18960384\"]\n  16 -> 24 [size =\"18960384\"]\n  16 -> 25 [size =\"18960384\"]\n  16 -> 27 [size =\"18960384\"]\n  16 -> 30 [size =\"18960384\"]\n  16 -> 31 [size =\"18960384\"]\n  16 -> 33 [size =\"18960384\"]\n  16 -> 34 [size =\"18960384\"]\n  16 -> 35 [size =\"18960384\"]\n  17 [size=\"83159040\", alpha=\"0.19\", expect_size=\"24947712\"] \n  17 -> 23 [size =\"24947712\"]\n  17 -> 27 [size =\"24947712\"]\n  17 -> 34 [size =\"24947712\"]\n  17 -> 35 [size =\"24947712\"]\n  18 [size=\"92453547\", alpha=\"0.08\", expect_size=\"27736064\"] \n  18 -> 23 [size =\"27736064\"]\n  18 -> 25 [size =\"27736064\"]\n  18 -> 30 [size =\"27736064\"]\n  18 -> 31 [size =\"27736064\"]\n  18 -> 33 [size =\"27736064\"]\n  18 -> 35 [size =\"27736064\"]\n  19 [size=\"142434987\", alpha=\"0.17\", expect_size=\"42730496\"] \n  19 -> 23 [size =\"42730496\"]\n  19 -> 27 [size =\"42730496\"]\n  19 -> 29 [size =\"42730496\"]\n  19 -> 31 [size =\"42730496\"]\n  19 -> 32 [size =\"42730496\"]\n  19 -> 33 [size =\"42730496\"]\n  19 -> 35 [size =\"42730496\"]\n  20 [size=\"172086613\", alpha=\"0.18\", expect_size=\"51625984\"] \n  20 -> 23 [size =\"51625984\"]\n  20 -> 25 [size =\"51625984\"]\n  21 [size=\"102700373\", alpha=\"0.02\", expect_size=\"30810112\"] \n  21 -> 30 [size =\"30810112\"]\n  21 -> 35 [size =\"30810112\"]\n  22 [size=\"37642240\", alpha=\"0.12\", expect_size=\"11292672\"] \n  22 -> 26 [size =\"11292672\"]\n  22 -> 27 [size =\"11292672\"]\n  22 -> 31 [size =\"11292672\"]\n  22 -> 32 [size =\"11292672\"]\n  22 -> 34 [size =\"11292672\"]\n  22 -> 35 [size =\"11292672\"]\n  23 [size=\"168898560\", alpha=\"0.17\", expect_size=\"50669568\"] \n  24 [size=\"66512213\", alpha=\"0.13\", expect_size=\"19953664\"] \n  25 [size=\"107451733\", alpha=\"0.04\", expect_size=\"32235520\"] \n  26 [size=\"39246507\", alpha=\"0.02\", expect_size=\"11773952\"] \n  27 [size=\"164382720\", alpha=\"0.00\", expect_size=\"49314816\"] \n  28 [size=\"160310613\", alpha=\"0.18\", expect_size=\"48093184\"] \n  29 [size=\"63815680\", alpha=\"0.06\", expect_size=\"19144704\"] \n  30 [size=\"39386453\", alpha=\"0.03\", expect_size=\"11815936\"] \n  31 [size=\"21364053\", alpha=\"0.08\", expect_size=\"6409216\"] \n  32 [size=\"37601280\", alpha=\"0.06\", expect_size=\"11280384\"] \n  33 [size=\"132403200\", alpha=\"0.01\", expect_size=\"39720960\"] \n  34 [size=\"110639787\", alpha=\"0.03\", expect_size=\"33191936\"] \n  35 [size=\"55323307\", alpha=\"0.10\", expect_size=\"16596992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36720640\", alpha=\"0.04\", expect_size=\"18360320\"] \n  1 -> 16 [size =\"18360320\"]\n  1 -> 19 [size =\"18360320\"]\n  1 -> 29 [size =\"18360320\"]\n  1 -> 34 [size =\"18360320\"]\n  2 [size=\"78262272\", alpha=\"0.14\", expect_size=\"39131136\"] \n  2 -> 16 [size =\"39131136\"]\n  2 -> 19 [size =\"39131136\"]\n  2 -> 33 [size =\"39131136\"]\n  2 -> 34 [size =\"39131136\"]\n  2 -> 35 [size =\"39131136\"]\n  3 [size=\"92065792\", alpha=\"0.11\", expect_size=\"46032896\"] \n  3 -> 21 [size =\"46032896\"]\n  3 -> 23 [size =\"46032896\"]\n  3 -> 25 [size =\"46032896\"]\n  3 -> 31 [size =\"46032896\"]\n  4 [size=\"90210304\", alpha=\"0.10\", expect_size=\"45105152\"] \n  4 -> 20 [size =\"45105152\"]\n  4 -> 29 [size =\"45105152\"]\n  4 -> 30 [size =\"45105152\"]\n  5 [size=\"79097856\", alpha=\"0.18\", expect_size=\"39548928\"] \n  5 -> 27 [size =\"39548928\"]\n  5 -> 28 [size =\"39548928\"]\n  5 -> 31 [size =\"39548928\"]\n  5 -> 33 [size =\"39548928\"]\n  6 [size=\"95924224\", alpha=\"0.09\", expect_size=\"47962112\"] \n  6 -> 15 [size =\"47962112\"]\n  6 -> 17 [size =\"47962112\"]\n  6 -> 22 [size =\"47962112\"]\n  6 -> 24 [size =\"47962112\"]\n  6 -> 25 [size =\"47962112\"]\n  6 -> 28 [size =\"47962112\"]\n  6 -> 33 [size =\"47962112\"]\n  6 -> 35 [size =\"47962112\"]\n  7 [size=\"69406720\", alpha=\"0.19\", expect_size=\"34703360\"] \n  7 -> 15 [size =\"34703360\"]\n  7 -> 16 [size =\"34703360\"]\n  7 -> 18 [size =\"34703360\"]\n  7 -> 22 [size =\"34703360\"]\n  7 -> 25 [size =\"34703360\"]\n  7 -> 26 [size =\"34703360\"]\n  7 -> 27 [size =\"34703360\"]\n  7 -> 32 [size =\"34703360\"]\n  7 -> 33 [size =\"34703360\"]\n  7 -> 35 [size =\"34703360\"]\n  8 [size=\"27856896\", alpha=\"0.15\", expect_size=\"13928448\"] \n  8 -> 15 [size =\"13928448\"]\n  8 -> 18 [size =\"13928448\"]\n  8 -> 18 [size =\"13928448\"]\n  8 -> 19 [size =\"13928448\"]\n  8 -> 26 [size =\"13928448\"]\n  8 -> 29 [size =\"13928448\"]\n  9 [size=\"98725888\", alpha=\"0.07\", expect_size=\"49362944\"] \n  9 -> 15 [size =\"49362944\"]\n  9 -> 17 [size =\"49362944\"]\n  9 -> 24 [size =\"49362944\"]\n  9 -> 30 [size =\"49362944\"]\n  9 -> 31 [size =\"49362944\"]\n  9 -> 32 [size =\"49362944\"]\n  9 -> 33 [size =\"49362944\"]\n  9 -> 34 [size =\"49362944\"]\n  10 [size=\"66480128\", alpha=\"0.09\", expect_size=\"33240064\"] \n  10 -> 15 [size =\"33240064\"]\n  10 -> 26 [size =\"33240064\"]\n  10 -> 28 [size =\"33240064\"]\n  10 -> 32 [size =\"33240064\"]\n  10 -> 33 [size =\"33240064\"]\n  11 [size=\"38397952\", alpha=\"0.02\", expect_size=\"19198976\"] \n  11 -> 15 [size =\"19198976\"]\n  11 -> 18 [size =\"19198976\"]\n  11 -> 26 [size =\"19198976\"]\n  11 -> 29 [size =\"19198976\"]\n  11 -> 33 [size =\"19198976\"]\n  12 [size=\"56248320\", alpha=\"0.12\", expect_size=\"28124160\"] \n  12 -> 18 [size =\"28124160\"]\n  12 -> 33 [size =\"28124160\"]\n  12 -> 34 [size =\"28124160\"]\n  13 [size=\"29945856\", alpha=\"0.15\", expect_size=\"14972928\"] \n  13 -> 15 [size =\"14972928\"]\n  13 -> 17 [size =\"14972928\"]\n  13 -> 18 [size =\"14972928\"]\n  13 -> 19 [size =\"14972928\"]\n  13 -> 27 [size =\"14972928\"]\n  13 -> 28 [size =\"14972928\"]\n  13 -> 33 [size =\"14972928\"]\n  13 -> 34 [size =\"14972928\"]\n  14 [size=\"83808256\", alpha=\"0.09\", expect_size=\"41904128\"] \n  14 -> 17 [size =\"41904128\"]\n  14 -> 18 [size =\"41904128\"]\n  14 -> 19 [size =\"41904128\"]\n  14 -> 21 [size =\"41904128\"]\n  14 -> 24 [size =\"41904128\"]\n  14 -> 30 [size =\"41904128\"]\n  14 -> 31 [size =\"41904128\"]\n  14 -> 34 [size =\"41904128\"]\n  15 [size=\"35457024\", alpha=\"0.04\", expect_size=\"17728512\"] \n  16 [size=\"25085952\", alpha=\"0.06\", expect_size=\"12542976\"] \n  17 [size=\"67067904\", alpha=\"0.11\", expect_size=\"33533952\"] \n  18 [size=\"63070208\", alpha=\"0.18\", expect_size=\"31535104\"] \n  19 [size=\"41140224\", alpha=\"0.05\", expect_size=\"20570112\"] \n  20 [size=\"75364352\", alpha=\"0.20\", expect_size=\"37682176\"] \n  21 [size=\"23162880\", alpha=\"0.00\", expect_size=\"11581440\"] \n  22 [size=\"33644544\", alpha=\"0.15\", expect_size=\"16822272\"] \n  23 [size=\"88072192\", alpha=\"0.08\", expect_size=\"44036096\"] \n  24 [size=\"64954368\", alpha=\"0.17\", expect_size=\"32477184\"] \n  25 [size=\"14182400\", alpha=\"0.00\", expect_size=\"7091200\"] \n  26 [size=\"31055872\", alpha=\"0.02\", expect_size=\"15527936\"] \n  27 [size=\"57870336\", alpha=\"0.16\", expect_size=\"28935168\"] \n  28 [size=\"16201728\", alpha=\"0.14\", expect_size=\"8100864\"] \n  29 [size=\"102535168\", alpha=\"0.11\", expect_size=\"51267584\"] \n  30 [size=\"31340544\", alpha=\"0.20\", expect_size=\"15670272\"] \n  31 [size=\"30982144\", alpha=\"0.14\", expect_size=\"15491072\"] \n  32 [size=\"33327104\", alpha=\"0.18\", expect_size=\"16663552\"] \n  33 [size=\"11776000\", alpha=\"0.06\", expect_size=\"5888000\"] \n  34 [size=\"47917056\", alpha=\"0.10\", expect_size=\"23958528\"] \n  35 [size=\"32727040\", alpha=\"0.19\", expect_size=\"16363520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66761387\", alpha=\"0.13\", expect_size=\"20028416\"] \n  1 -> 19 [size =\"20028416\"]\n  1 -> 20 [size =\"20028416\"]\n  1 -> 21 [size =\"20028416\"]\n  1 -> 23 [size =\"20028416\"]\n  2 [size=\"127402667\", alpha=\"0.20\", expect_size=\"38220800\"] \n  2 -> 17 [size =\"38220800\"]\n  2 -> 19 [size =\"38220800\"]\n  3 [size=\"152989013\", alpha=\"0.04\", expect_size=\"45896704\"] \n  3 -> 16 [size =\"45896704\"]\n  3 -> 19 [size =\"45896704\"]\n  3 -> 23 [size =\"45896704\"]\n  3 -> 24 [size =\"45896704\"]\n  4 [size=\"21705387\", alpha=\"0.15\", expect_size=\"6511616\"] \n  4 -> 16 [size =\"6511616\"]\n  4 -> 20 [size =\"6511616\"]\n  5 [size=\"120903680\", alpha=\"0.09\", expect_size=\"36271104\"] \n  5 -> 18 [size =\"36271104\"]\n  5 -> 20 [size =\"36271104\"]\n  5 -> 23 [size =\"36271104\"]\n  5 -> 27 [size =\"36271104\"]\n  6 [size=\"20374187\", alpha=\"0.16\", expect_size=\"6112256\"] \n  6 -> 20 [size =\"6112256\"]\n  6 -> 23 [size =\"6112256\"]\n  6 -> 25 [size =\"6112256\"]\n  7 [size=\"82862080\", alpha=\"0.19\", expect_size=\"24858624\"] \n  7 -> 17 [size =\"24858624\"]\n  7 -> 20 [size =\"24858624\"]\n  7 -> 23 [size =\"24858624\"]\n  7 -> 27 [size =\"24858624\"]\n  8 [size=\"152104960\", alpha=\"0.08\", expect_size=\"45631488\"] \n  8 -> 19 [size =\"45631488\"]\n  8 -> 21 [size =\"45631488\"]\n  8 -> 22 [size =\"45631488\"]\n  8 -> 24 [size =\"45631488\"]\n  8 -> 27 [size =\"45631488\"]\n  9 [size=\"60132693\", alpha=\"0.15\", expect_size=\"18039808\"] \n  9 -> 16 [size =\"18039808\"]\n  9 -> 18 [size =\"18039808\"]\n  9 -> 19 [size =\"18039808\"]\n  9 -> 21 [size =\"18039808\"]\n  10 [size=\"24207360\", alpha=\"0.06\", expect_size=\"7262208\"] \n  10 -> 16 [size =\"7262208\"]\n  10 -> 17 [size =\"7262208\"]\n  10 -> 18 [size =\"7262208\"]\n  10 -> 20 [size =\"7262208\"]\n  10 -> 21 [size =\"7262208\"]\n  10 -> 22 [size =\"7262208\"]\n  10 -> 23 [size =\"7262208\"]\n  11 [size=\"165133653\", alpha=\"0.07\", expect_size=\"49540096\"] \n  11 -> 17 [size =\"49540096\"]\n  11 -> 18 [size =\"49540096\"]\n  11 -> 18 [size =\"49540096\"]\n  11 -> 19 [size =\"49540096\"]\n  11 -> 20 [size =\"49540096\"]\n  11 -> 21 [size =\"49540096\"]\n  11 -> 23 [size =\"49540096\"]\n  11 -> 26 [size =\"49540096\"]\n  12 [size=\"113991680\", alpha=\"0.14\", expect_size=\"34197504\"] \n  12 -> 16 [size =\"34197504\"]\n  12 -> 18 [size =\"34197504\"]\n  12 -> 19 [size =\"34197504\"]\n  12 -> 19 [size =\"34197504\"]\n  12 -> 20 [size =\"34197504\"]\n  12 -> 21 [size =\"34197504\"]\n  12 -> 22 [size =\"34197504\"]\n  12 -> 24 [size =\"34197504\"]\n  13 [size=\"112919893\", alpha=\"0.16\", expect_size=\"33875968\"] \n  13 -> 16 [size =\"33875968\"]\n  13 -> 17 [size =\"33875968\"]\n  13 -> 18 [size =\"33875968\"]\n  13 -> 19 [size =\"33875968\"]\n  13 -> 20 [size =\"33875968\"]\n  13 -> 21 [size =\"33875968\"]\n  13 -> 23 [size =\"33875968\"]\n  14 [size=\"142711467\", alpha=\"0.18\", expect_size=\"42813440\"] \n  14 -> 16 [size =\"42813440\"]\n  14 -> 18 [size =\"42813440\"]\n  14 -> 20 [size =\"42813440\"]\n  14 -> 21 [size =\"42813440\"]\n  14 -> 22 [size =\"42813440\"]\n  15 [size=\"100969813\", alpha=\"0.03\", expect_size=\"30290944\"] \n  15 -> 19 [size =\"30290944\"]\n  15 -> 21 [size =\"30290944\"]\n  16 [size=\"173680640\", alpha=\"0.09\", expect_size=\"52104192\"] \n  16 -> 28 [size =\"52104192\"]\n  16 -> 30 [size =\"52104192\"]\n  16 -> 31 [size =\"52104192\"]\n  16 -> 31 [size =\"52104192\"]\n  16 -> 33 [size =\"52104192\"]\n  17 [size=\"142554453\", alpha=\"0.17\", expect_size=\"42766336\"] \n  17 -> 31 [size =\"42766336\"]\n  17 -> 32 [size =\"42766336\"]\n  17 -> 33 [size =\"42766336\"]\n  18 [size=\"136983893\", alpha=\"0.02\", expect_size=\"41095168\"] \n  18 -> 30 [size =\"41095168\"]\n  18 -> 33 [size =\"41095168\"]\n  19 [size=\"42420907\", alpha=\"0.04\", expect_size=\"12726272\"] \n  20 [size=\"163860480\", alpha=\"0.01\", expect_size=\"49158144\"] \n  20 -> 32 [size =\"49158144\"]\n  20 -> 33 [size =\"49158144\"]\n  20 -> 34 [size =\"49158144\"]\n  20 -> 35 [size =\"49158144\"]\n  21 [size=\"55087787\", alpha=\"0.05\", expect_size=\"16526336\"] \n  21 -> 28 [size =\"16526336\"]\n  21 -> 29 [size =\"16526336\"]\n  21 -> 33 [size =\"16526336\"]\n  22 [size=\"114012160\", alpha=\"0.04\", expect_size=\"34203648\"] \n  22 -> 28 [size =\"34203648\"]\n  22 -> 31 [size =\"34203648\"]\n  22 -> 32 [size =\"34203648\"]\n  23 [size=\"66235733\", alpha=\"0.19\", expect_size=\"19870720\"] \n  23 -> 28 [size =\"19870720\"]\n  24 [size=\"34447360\", alpha=\"0.15\", expect_size=\"10334208\"] \n  24 -> 30 [size =\"10334208\"]\n  24 -> 31 [size =\"10334208\"]\n  25 [size=\"19196587\", alpha=\"0.04\", expect_size=\"5758976\"] \n  25 -> 30 [size =\"5758976\"]\n  25 -> 31 [size =\"5758976\"]\n  26 [size=\"46373547\", alpha=\"0.13\", expect_size=\"13912064\"] \n  26 -> 28 [size =\"13912064\"]\n  26 -> 30 [size =\"13912064\"]\n  26 -> 31 [size =\"13912064\"]\n  27 [size=\"118842027\", alpha=\"0.11\", expect_size=\"35652608\"] \n  27 -> 28 [size =\"35652608\"]\n  27 -> 29 [size =\"35652608\"]\n  27 -> 30 [size =\"35652608\"]\n  27 -> 31 [size =\"35652608\"]\n  27 -> 33 [size =\"35652608\"]\n  28 [size=\"94808747\", alpha=\"0.05\", expect_size=\"28442624\"] \n  29 [size=\"110745600\", alpha=\"0.05\", expect_size=\"33223680\"] \n  30 [size=\"139468800\", alpha=\"0.07\", expect_size=\"41840640\"] \n  31 [size=\"150811307\", alpha=\"0.06\", expect_size=\"45243392\"] \n  32 [size=\"36771840\", alpha=\"0.18\", expect_size=\"11031552\"] \n  33 [size=\"64563200\", alpha=\"0.03\", expect_size=\"19368960\"] \n  34 [size=\"55128747\", alpha=\"0.03\", expect_size=\"16538624\"] \n  35 [size=\"169984000\", alpha=\"0.14\", expect_size=\"50995200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119695360\", alpha=\"0.00\", expect_size=\"47878144\"] \n  1 -> 7 [size =\"47878144\"]\n  1 -> 8 [size =\"47878144\"]\n  1 -> 11 [size =\"47878144\"]\n  2 [size=\"26191360\", alpha=\"0.06\", expect_size=\"10476544\"] \n  2 -> 9 [size =\"10476544\"]\n  2 -> 11 [size =\"10476544\"]\n  3 [size=\"36375040\", alpha=\"0.11\", expect_size=\"14550016\"] \n  3 -> 8 [size =\"14550016\"]\n  3 -> 9 [size =\"14550016\"]\n  3 -> 10 [size =\"14550016\"]\n  4 [size=\"27182080\", alpha=\"0.08\", expect_size=\"10872832\"] \n  4 -> 6 [size =\"10872832\"]\n  4 -> 8 [size =\"10872832\"]\n  4 -> 10 [size =\"10872832\"]\n  5 [size=\"83340800\", alpha=\"0.10\", expect_size=\"33336320\"] \n  5 -> 6 [size =\"33336320\"]\n  5 -> 7 [size =\"33336320\"]\n  5 -> 11 [size =\"33336320\"]\n  6 [size=\"104250880\", alpha=\"0.06\", expect_size=\"41700352\"] \n  6 -> 13 [size =\"41700352\"]\n  6 -> 15 [size =\"41700352\"]\n  7 [size=\"35445760\", alpha=\"0.03\", expect_size=\"14178304\"] \n  7 -> 16 [size =\"14178304\"]\n  7 -> 17 [size =\"14178304\"]\n  7 -> 18 [size =\"14178304\"]\n  8 [size=\"100200960\", alpha=\"0.05\", expect_size=\"40080384\"] \n  8 -> 13 [size =\"40080384\"]\n  8 -> 14 [size =\"40080384\"]\n  8 -> 17 [size =\"40080384\"]\n  9 [size=\"43473920\", alpha=\"0.05\", expect_size=\"17389568\"] \n  9 -> 15 [size =\"17389568\"]\n  9 -> 16 [size =\"17389568\"]\n  10 [size=\"37166080\", alpha=\"0.17\", expect_size=\"14866432\"] \n  10 -> 12 [size =\"14866432\"]\n  10 -> 16 [size =\"14866432\"]\n  10 -> 18 [size =\"14866432\"]\n  11 [size=\"26828800\", alpha=\"0.19\", expect_size=\"10731520\"] \n  11 -> 13 [size =\"10731520\"]\n  11 -> 15 [size =\"10731520\"]\n  11 -> 18 [size =\"10731520\"]\n  12 [size=\"29253120\", alpha=\"0.09\", expect_size=\"11701248\"] \n  12 -> 23 [size =\"11701248\"]\n  12 -> 23 [size =\"11701248\"]\n  12 -> 25 [size =\"11701248\"]\n  13 [size=\"66641920\", alpha=\"0.03\", expect_size=\"26656768\"] \n  13 -> 19 [size =\"26656768\"]\n  13 -> 25 [size =\"26656768\"]\n  14 [size=\"14932480\", alpha=\"0.02\", expect_size=\"5972992\"] \n  14 -> 21 [size =\"5972992\"]\n  14 -> 22 [size =\"5972992\"]\n  14 -> 23 [size =\"5972992\"]\n  15 [size=\"60541440\", alpha=\"0.11\", expect_size=\"24216576\"] \n  15 -> 19 [size =\"24216576\"]\n  15 -> 24 [size =\"24216576\"]\n  16 [size=\"119784960\", alpha=\"0.04\", expect_size=\"47913984\"] \n  16 -> 21 [size =\"47913984\"]\n  17 [size=\"35883520\", alpha=\"0.00\", expect_size=\"14353408\"] \n  17 -> 20 [size =\"14353408\"]\n  17 -> 25 [size =\"14353408\"]\n  18 [size=\"51276800\", alpha=\"0.18\", expect_size=\"20510720\"] \n  18 -> 19 [size =\"20510720\"]\n  18 -> 23 [size =\"20510720\"]\n  18 -> 25 [size =\"20510720\"]\n  19 [size=\"79206400\", alpha=\"0.12\", expect_size=\"31682560\"] \n  19 -> 27 [size =\"31682560\"]\n  19 -> 29 [size =\"31682560\"]\n  20 [size=\"106393600\", alpha=\"0.15\", expect_size=\"42557440\"] \n  21 [size=\"87283200\", alpha=\"0.16\", expect_size=\"34913280\"] \n  22 [size=\"79206400\", alpha=\"0.19\", expect_size=\"31682560\"] \n  22 -> 26 [size =\"31682560\"]\n  22 -> 27 [size =\"31682560\"]\n  23 [size=\"130193920\", alpha=\"0.07\", expect_size=\"52077568\"] \n  23 -> 27 [size =\"52077568\"]\n  23 -> 28 [size =\"52077568\"]\n  24 [size=\"28195840\", alpha=\"0.16\", expect_size=\"11278336\"] \n  24 -> 27 [size =\"11278336\"]\n  25 [size=\"41039360\", alpha=\"0.18\", expect_size=\"16415744\"] \n  25 -> 27 [size =\"16415744\"]\n  26 [size=\"104192000\", alpha=\"0.15\", expect_size=\"41676800\"] \n  26 -> 30 [size =\"41676800\"]\n  26 -> 33 [size =\"41676800\"]\n  27 [size=\"129940480\", alpha=\"0.16\", expect_size=\"51976192\"] \n  27 -> 33 [size =\"51976192\"]\n  28 [size=\"130944000\", alpha=\"0.11\", expect_size=\"52377600\"] \n  28 -> 31 [size =\"52377600\"]\n  28 -> 33 [size =\"52377600\"]\n  28 -> 34 [size =\"52377600\"]\n  29 [size=\"116229120\", alpha=\"0.12\", expect_size=\"46491648\"] \n  29 -> 32 [size =\"46491648\"]\n  29 -> 34 [size =\"46491648\"]\n  30 [size=\"68894720\", alpha=\"0.17\", expect_size=\"27557888\"] \n  31 [size=\"39352320\", alpha=\"0.04\", expect_size=\"15740928\"] \n  32 [size=\"16227840\", alpha=\"0.14\", expect_size=\"6491136\"] \n  33 [size=\"130570240\", alpha=\"0.13\", expect_size=\"52228096\"] \n  34 [size=\"51758080\", alpha=\"0.12\", expect_size=\"20703232\"] \n  34 -> 35 [size =\"20703232\"]\n  35 [size=\"29793280\", alpha=\"0.19\", expect_size=\"11917312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70371328\", alpha=\"0.17\", expect_size=\"35185664\"] \n  1 -> 22 [size =\"35185664\"]\n  1 -> 28 [size =\"35185664\"]\n  1 -> 30 [size =\"35185664\"]\n  1 -> 31 [size =\"35185664\"]\n  2 [size=\"79544320\", alpha=\"0.15\", expect_size=\"39772160\"] \n  2 -> 17 [size =\"39772160\"]\n  2 -> 18 [size =\"39772160\"]\n  2 -> 20 [size =\"39772160\"]\n  2 -> 22 [size =\"39772160\"]\n  2 -> 25 [size =\"39772160\"]\n  2 -> 28 [size =\"39772160\"]\n  2 -> 31 [size =\"39772160\"]\n  3 [size=\"97036288\", alpha=\"0.18\", expect_size=\"48518144\"] \n  3 -> 21 [size =\"48518144\"]\n  3 -> 23 [size =\"48518144\"]\n  3 -> 25 [size =\"48518144\"]\n  3 -> 30 [size =\"48518144\"]\n  3 -> 31 [size =\"48518144\"]\n  4 [size=\"60897280\", alpha=\"0.17\", expect_size=\"30448640\"] \n  4 -> 23 [size =\"30448640\"]\n  4 -> 27 [size =\"30448640\"]\n  4 -> 30 [size =\"30448640\"]\n  4 -> 30 [size =\"30448640\"]\n  4 -> 34 [size =\"30448640\"]\n  5 [size=\"20736000\", alpha=\"0.20\", expect_size=\"10368000\"] \n  5 -> 18 [size =\"10368000\"]\n  5 -> 21 [size =\"10368000\"]\n  5 -> 23 [size =\"10368000\"]\n  5 -> 24 [size =\"10368000\"]\n  5 -> 25 [size =\"10368000\"]\n  5 -> 29 [size =\"10368000\"]\n  5 -> 33 [size =\"10368000\"]\n  5 -> 35 [size =\"10368000\"]\n  6 [size=\"22087680\", alpha=\"0.03\", expect_size=\"11043840\"] \n  6 -> 18 [size =\"11043840\"]\n  6 -> 19 [size =\"11043840\"]\n  6 -> 24 [size =\"11043840\"]\n  6 -> 25 [size =\"11043840\"]\n  6 -> 26 [size =\"11043840\"]\n  6 -> 33 [size =\"11043840\"]\n  7 [size=\"71927808\", alpha=\"0.01\", expect_size=\"35963904\"] \n  7 -> 19 [size =\"35963904\"]\n  7 -> 21 [size =\"35963904\"]\n  7 -> 22 [size =\"35963904\"]\n  7 -> 29 [size =\"35963904\"]\n  8 [size=\"25772032\", alpha=\"0.02\", expect_size=\"12886016\"] \n  8 -> 18 [size =\"12886016\"]\n  8 -> 20 [size =\"12886016\"]\n  8 -> 21 [size =\"12886016\"]\n  8 -> 23 [size =\"12886016\"]\n  8 -> 29 [size =\"12886016\"]\n  8 -> 34 [size =\"12886016\"]\n  9 [size=\"17739776\", alpha=\"0.13\", expect_size=\"8869888\"] \n  9 -> 16 [size =\"8869888\"]\n  9 -> 17 [size =\"8869888\"]\n  9 -> 18 [size =\"8869888\"]\n  9 -> 23 [size =\"8869888\"]\n  9 -> 29 [size =\"8869888\"]\n  9 -> 31 [size =\"8869888\"]\n  9 -> 34 [size =\"8869888\"]\n  10 [size=\"37275648\", alpha=\"0.16\", expect_size=\"18637824\"] \n  10 -> 23 [size =\"18637824\"]\n  10 -> 26 [size =\"18637824\"]\n  10 -> 30 [size =\"18637824\"]\n  10 -> 31 [size =\"18637824\"]\n  10 -> 34 [size =\"18637824\"]\n  11 [size=\"18880512\", alpha=\"0.18\", expect_size=\"9440256\"] \n  11 -> 18 [size =\"9440256\"]\n  11 -> 24 [size =\"9440256\"]\n  11 -> 25 [size =\"9440256\"]\n  11 -> 26 [size =\"9440256\"]\n  11 -> 30 [size =\"9440256\"]\n  11 -> 31 [size =\"9440256\"]\n  11 -> 33 [size =\"9440256\"]\n  11 -> 34 [size =\"9440256\"]\n  11 -> 35 [size =\"9440256\"]\n  12 [size=\"100274176\", alpha=\"0.14\", expect_size=\"50137088\"] \n  12 -> 18 [size =\"50137088\"]\n  12 -> 21 [size =\"50137088\"]\n  12 -> 23 [size =\"50137088\"]\n  12 -> 25 [size =\"50137088\"]\n  12 -> 34 [size =\"50137088\"]\n  13 [size=\"75114496\", alpha=\"0.18\", expect_size=\"37557248\"] \n  13 -> 18 [size =\"37557248\"]\n  13 -> 21 [size =\"37557248\"]\n  13 -> 23 [size =\"37557248\"]\n  13 -> 31 [size =\"37557248\"]\n  13 -> 32 [size =\"37557248\"]\n  13 -> 33 [size =\"37557248\"]\n  13 -> 34 [size =\"37557248\"]\n  13 -> 35 [size =\"37557248\"]\n  14 [size=\"65253376\", alpha=\"0.01\", expect_size=\"32626688\"] \n  14 -> 16 [size =\"32626688\"]\n  14 -> 18 [size =\"32626688\"]\n  14 -> 23 [size =\"32626688\"]\n  14 -> 29 [size =\"32626688\"]\n  14 -> 32 [size =\"32626688\"]\n  14 -> 34 [size =\"32626688\"]\n  15 [size=\"50053120\", alpha=\"0.04\", expect_size=\"25026560\"] \n  15 -> 18 [size =\"25026560\"]\n  15 -> 18 [size =\"25026560\"]\n  15 -> 20 [size =\"25026560\"]\n  15 -> 23 [size =\"25026560\"]\n  15 -> 29 [size =\"25026560\"]\n  15 -> 30 [size =\"25026560\"]\n  15 -> 31 [size =\"25026560\"]\n  15 -> 32 [size =\"25026560\"]\n  15 -> 33 [size =\"25026560\"]\n  15 -> 35 [size =\"25026560\"]\n  16 [size=\"49664000\", alpha=\"0.13\", expect_size=\"24832000\"] \n  17 [size=\"62865408\", alpha=\"0.16\", expect_size=\"31432704\"] \n  18 [size=\"67719168\", alpha=\"0.13\", expect_size=\"33859584\"] \n  19 [size=\"77963264\", alpha=\"0.12\", expect_size=\"38981632\"] \n  20 [size=\"45617152\", alpha=\"0.10\", expect_size=\"22808576\"] \n  21 [size=\"28940288\", alpha=\"0.00\", expect_size=\"14470144\"] \n  22 [size=\"19597312\", alpha=\"0.05\", expect_size=\"9798656\"] \n  23 [size=\"85940224\", alpha=\"0.09\", expect_size=\"42970112\"] \n  24 [size=\"78862336\", alpha=\"0.03\", expect_size=\"39431168\"] \n  25 [size=\"85223424\", alpha=\"0.19\", expect_size=\"42611712\"] \n  26 [size=\"10975232\", alpha=\"0.18\", expect_size=\"5487616\"] \n  27 [size=\"70612992\", alpha=\"0.09\", expect_size=\"35306496\"] \n  28 [size=\"51107840\", alpha=\"0.04\", expect_size=\"25553920\"] \n  29 [size=\"18024448\", alpha=\"0.00\", expect_size=\"9012224\"] \n  30 [size=\"76802048\", alpha=\"0.03\", expect_size=\"38401024\"] \n  31 [size=\"30081024\", alpha=\"0.06\", expect_size=\"15040512\"] \n  32 [size=\"32118784\", alpha=\"0.09\", expect_size=\"16059392\"] \n  33 [size=\"57602048\", alpha=\"0.06\", expect_size=\"28801024\"] \n  34 [size=\"98711552\", alpha=\"0.14\", expect_size=\"49355776\"] \n  35 [size=\"17115136\", alpha=\"0.11\", expect_size=\"8557568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19789824\", alpha=\"0.16\", expect_size=\"9894912\"] \n  1 -> 21 [size =\"9894912\"]\n  1 -> 22 [size =\"9894912\"]\n  1 -> 23 [size =\"9894912\"]\n  1 -> 25 [size =\"9894912\"]\n  1 -> 26 [size =\"9894912\"]\n  1 -> 27 [size =\"9894912\"]\n  1 -> 28 [size =\"9894912\"]\n  1 -> 30 [size =\"9894912\"]\n  1 -> 32 [size =\"9894912\"]\n  1 -> 33 [size =\"9894912\"]\n  2 [size=\"15083520\", alpha=\"0.10\", expect_size=\"7541760\"] \n  2 -> 21 [size =\"7541760\"]\n  2 -> 22 [size =\"7541760\"]\n  2 -> 25 [size =\"7541760\"]\n  2 -> 26 [size =\"7541760\"]\n  2 -> 27 [size =\"7541760\"]\n  2 -> 28 [size =\"7541760\"]\n  2 -> 28 [size =\"7541760\"]\n  2 -> 30 [size =\"7541760\"]\n  2 -> 32 [size =\"7541760\"]\n  2 -> 33 [size =\"7541760\"]\n  2 -> 34 [size =\"7541760\"]\n  3 [size=\"76929024\", alpha=\"0.13\", expect_size=\"38464512\"] \n  3 -> 21 [size =\"38464512\"]\n  3 -> 25 [size =\"38464512\"]\n  3 -> 26 [size =\"38464512\"]\n  3 -> 28 [size =\"38464512\"]\n  3 -> 29 [size =\"38464512\"]\n  3 -> 30 [size =\"38464512\"]\n  3 -> 32 [size =\"38464512\"]\n  3 -> 33 [size =\"38464512\"]\n  4 [size=\"41068544\", alpha=\"0.06\", expect_size=\"20534272\"] \n  4 -> 23 [size =\"20534272\"]\n  4 -> 26 [size =\"20534272\"]\n  4 -> 27 [size =\"20534272\"]\n  4 -> 28 [size =\"20534272\"]\n  4 -> 30 [size =\"20534272\"]\n  4 -> 31 [size =\"20534272\"]\n  4 -> 32 [size =\"20534272\"]\n  4 -> 33 [size =\"20534272\"]\n  5 [size=\"75216896\", alpha=\"0.20\", expect_size=\"37608448\"] \n  5 -> 23 [size =\"37608448\"]\n  5 -> 25 [size =\"37608448\"]\n  5 -> 26 [size =\"37608448\"]\n  5 -> 27 [size =\"37608448\"]\n  5 -> 31 [size =\"37608448\"]\n  5 -> 32 [size =\"37608448\"]\n  5 -> 33 [size =\"37608448\"]\n  5 -> 33 [size =\"37608448\"]\n  6 [size=\"57839616\", alpha=\"0.08\", expect_size=\"28919808\"] \n  6 -> 18 [size =\"28919808\"]\n  6 -> 21 [size =\"28919808\"]\n  6 -> 23 [size =\"28919808\"]\n  6 -> 25 [size =\"28919808\"]\n  6 -> 26 [size =\"28919808\"]\n  6 -> 27 [size =\"28919808\"]\n  6 -> 28 [size =\"28919808\"]\n  6 -> 29 [size =\"28919808\"]\n  6 -> 30 [size =\"28919808\"]\n  6 -> 31 [size =\"28919808\"]\n  7 [size=\"17197056\", alpha=\"0.14\", expect_size=\"8598528\"] \n  7 -> 22 [size =\"8598528\"]\n  7 -> 23 [size =\"8598528\"]\n  7 -> 24 [size =\"8598528\"]\n  7 -> 25 [size =\"8598528\"]\n  7 -> 26 [size =\"8598528\"]\n  7 -> 28 [size =\"8598528\"]\n  8 [size=\"50626560\", alpha=\"0.03\", expect_size=\"25313280\"] \n  8 -> 20 [size =\"25313280\"]\n  8 -> 23 [size =\"25313280\"]\n  8 -> 25 [size =\"25313280\"]\n  8 -> 25 [size =\"25313280\"]\n  8 -> 26 [size =\"25313280\"]\n  8 -> 27 [size =\"25313280\"]\n  8 -> 28 [size =\"25313280\"]\n  8 -> 29 [size =\"25313280\"]\n  8 -> 30 [size =\"25313280\"]\n  8 -> 31 [size =\"25313280\"]\n  9 [size=\"77527040\", alpha=\"0.19\", expect_size=\"38763520\"] \n  9 -> 19 [size =\"38763520\"]\n  9 -> 20 [size =\"38763520\"]\n  9 -> 21 [size =\"38763520\"]\n  9 -> 23 [size =\"38763520\"]\n  9 -> 25 [size =\"38763520\"]\n  9 -> 26 [size =\"38763520\"]\n  9 -> 28 [size =\"38763520\"]\n  9 -> 30 [size =\"38763520\"]\n  9 -> 32 [size =\"38763520\"]\n  9 -> 33 [size =\"38763520\"]\n  10 [size=\"104441856\", alpha=\"0.03\", expect_size=\"52220928\"] \n  10 -> 21 [size =\"52220928\"]\n  10 -> 22 [size =\"52220928\"]\n  10 -> 23 [size =\"52220928\"]\n  10 -> 25 [size =\"52220928\"]\n  10 -> 25 [size =\"52220928\"]\n  10 -> 26 [size =\"52220928\"]\n  10 -> 27 [size =\"52220928\"]\n  10 -> 28 [size =\"52220928\"]\n  10 -> 29 [size =\"52220928\"]\n  10 -> 30 [size =\"52220928\"]\n  10 -> 32 [size =\"52220928\"]\n  10 -> 33 [size =\"52220928\"]\n  11 [size=\"74584064\", alpha=\"0.15\", expect_size=\"37292032\"] \n  11 -> 21 [size =\"37292032\"]\n  11 -> 22 [size =\"37292032\"]\n  11 -> 23 [size =\"37292032\"]\n  11 -> 25 [size =\"37292032\"]\n  11 -> 27 [size =\"37292032\"]\n  11 -> 30 [size =\"37292032\"]\n  11 -> 32 [size =\"37292032\"]\n  11 -> 33 [size =\"37292032\"]\n  11 -> 34 [size =\"37292032\"]\n  12 [size=\"55369728\", alpha=\"0.18\", expect_size=\"27684864\"] \n  12 -> 19 [size =\"27684864\"]\n  12 -> 21 [size =\"27684864\"]\n  12 -> 22 [size =\"27684864\"]\n  12 -> 25 [size =\"27684864\"]\n  12 -> 27 [size =\"27684864\"]\n  12 -> 28 [size =\"27684864\"]\n  12 -> 29 [size =\"27684864\"]\n  12 -> 30 [size =\"27684864\"]\n  12 -> 33 [size =\"27684864\"]\n  12 -> 34 [size =\"27684864\"]\n  12 -> 35 [size =\"27684864\"]\n  13 [size=\"102072320\", alpha=\"0.02\", expect_size=\"51036160\"] \n  13 -> 21 [size =\"51036160\"]\n  13 -> 22 [size =\"51036160\"]\n  13 -> 23 [size =\"51036160\"]\n  13 -> 25 [size =\"51036160\"]\n  13 -> 27 [size =\"51036160\"]\n  13 -> 29 [size =\"51036160\"]\n  13 -> 29 [size =\"51036160\"]\n  13 -> 30 [size =\"51036160\"]\n  13 -> 33 [size =\"51036160\"]\n  14 [size=\"67291136\", alpha=\"0.04\", expect_size=\"33645568\"] \n  14 -> 18 [size =\"33645568\"]\n  14 -> 24 [size =\"33645568\"]\n  14 -> 25 [size =\"33645568\"]\n  14 -> 26 [size =\"33645568\"]\n  14 -> 27 [size =\"33645568\"]\n  14 -> 29 [size =\"33645568\"]\n  14 -> 30 [size =\"33645568\"]\n  14 -> 31 [size =\"33645568\"]\n  14 -> 32 [size =\"33645568\"]\n  14 -> 33 [size =\"33645568\"]\n  14 -> 35 [size =\"33645568\"]\n  15 [size=\"95864832\", alpha=\"0.04\", expect_size=\"47932416\"] \n  15 -> 18 [size =\"47932416\"]\n  15 -> 21 [size =\"47932416\"]\n  15 -> 26 [size =\"47932416\"]\n  15 -> 27 [size =\"47932416\"]\n  15 -> 29 [size =\"47932416\"]\n  15 -> 32 [size =\"47932416\"]\n  15 -> 33 [size =\"47932416\"]\n  15 -> 35 [size =\"47932416\"]\n  16 [size=\"94447616\", alpha=\"0.09\", expect_size=\"47223808\"] \n  16 -> 26 [size =\"47223808\"]\n  16 -> 27 [size =\"47223808\"]\n  16 -> 28 [size =\"47223808\"]\n  16 -> 32 [size =\"47223808\"]\n  16 -> 33 [size =\"47223808\"]\n  17 [size=\"39903232\", alpha=\"0.01\", expect_size=\"19951616\"] \n  17 -> 19 [size =\"19951616\"]\n  17 -> 22 [size =\"19951616\"]\n  17 -> 26 [size =\"19951616\"]\n  17 -> 27 [size =\"19951616\"]\n  17 -> 28 [size =\"19951616\"]\n  17 -> 30 [size =\"19951616\"]\n  17 -> 32 [size =\"19951616\"]\n  17 -> 33 [size =\"19951616\"]\n  18 [size=\"104251392\", alpha=\"0.06\", expect_size=\"52125696\"] \n  19 [size=\"24242176\", alpha=\"0.17\", expect_size=\"12121088\"] \n  20 [size=\"17475584\", alpha=\"0.16\", expect_size=\"8737792\"] \n  21 [size=\"33034240\", alpha=\"0.17\", expect_size=\"16517120\"] \n  22 [size=\"104030208\", alpha=\"0.20\", expect_size=\"52015104\"] \n  23 [size=\"93411328\", alpha=\"0.16\", expect_size=\"46705664\"] \n  24 [size=\"100777984\", alpha=\"0.19\", expect_size=\"50388992\"] \n  25 [size=\"25120768\", alpha=\"0.16\", expect_size=\"12560384\"] \n  26 [size=\"42092544\", alpha=\"0.02\", expect_size=\"21046272\"] \n  27 [size=\"84889600\", alpha=\"0.10\", expect_size=\"42444800\"] \n  28 [size=\"90992640\", alpha=\"0.07\", expect_size=\"45496320\"] \n  29 [size=\"26159104\", alpha=\"0.18\", expect_size=\"13079552\"] \n  30 [size=\"10551296\", alpha=\"0.08\", expect_size=\"5275648\"] \n  31 [size=\"86362112\", alpha=\"0.13\", expect_size=\"43181056\"] \n  32 [size=\"74149888\", alpha=\"0.06\", expect_size=\"37074944\"] \n  33 [size=\"72888320\", alpha=\"0.20\", expect_size=\"36444160\"] \n  34 [size=\"54646784\", alpha=\"0.05\", expect_size=\"27323392\"] \n  35 [size=\"50008064\", alpha=\"0.08\", expect_size=\"25004032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128703147\", alpha=\"0.03\", expect_size=\"38610944\"] \n  2 [size=\"173834240\", alpha=\"0.02\", expect_size=\"52150272\"] \n  2 -> 35 [size =\"52150272\"]\n  3 [size=\"146339840\", alpha=\"0.13\", expect_size=\"43901952\"] \n  3 -> 35 [size =\"43901952\"]\n  4 [size=\"120132267\", alpha=\"0.18\", expect_size=\"36039680\"] \n  5 [size=\"123583147\", alpha=\"0.07\", expect_size=\"37074944\"] \n  6 [size=\"101867520\", alpha=\"0.15\", expect_size=\"30560256\"] \n  6 -> 35 [size =\"30560256\"]\n  7 [size=\"52548267\", alpha=\"0.12\", expect_size=\"15764480\"] \n  7 -> 35 [size =\"15764480\"]\n  8 [size=\"45120853\", alpha=\"0.12\", expect_size=\"13536256\"] \n  8 -> 35 [size =\"13536256\"]\n  9 [size=\"39389867\", alpha=\"0.03\", expect_size=\"11816960\"] \n  10 [size=\"117224107\", alpha=\"0.02\", expect_size=\"35167232\"] \n  10 -> 35 [size =\"35167232\"]\n  11 [size=\"119046827\", alpha=\"0.06\", expect_size=\"35714048\"] \n  12 [size=\"145261227\", alpha=\"0.14\", expect_size=\"43578368\"] \n  13 [size=\"159057920\", alpha=\"0.11\", expect_size=\"47717376\"] \n  13 -> 35 [size =\"47717376\"]\n  14 [size=\"104618667\", alpha=\"0.09\", expect_size=\"31385600\"] \n  15 [size=\"90576213\", alpha=\"0.18\", expect_size=\"27172864\"] \n  16 [size=\"146213547\", alpha=\"0.01\", expect_size=\"43864064\"] \n  16 -> 35 [size =\"43864064\"]\n  17 [size=\"107322027\", alpha=\"0.06\", expect_size=\"32196608\"] \n  18 [size=\"43830613\", alpha=\"0.00\", expect_size=\"13149184\"] \n  19 [size=\"141649920\", alpha=\"0.09\", expect_size=\"42494976\"] \n  20 [size=\"161662293\", alpha=\"0.03\", expect_size=\"48498688\"] \n  21 [size=\"17578667\", alpha=\"0.12\", expect_size=\"5273600\"] \n  22 [size=\"67235840\", alpha=\"0.00\", expect_size=\"20170752\"] \n  23 [size=\"173858133\", alpha=\"0.05\", expect_size=\"52157440\"] \n  24 [size=\"102116693\", alpha=\"0.03\", expect_size=\"30635008\"] \n  25 [size=\"19387733\", alpha=\"0.14\", expect_size=\"5816320\"] \n  26 [size=\"158354773\", alpha=\"0.16\", expect_size=\"47506432\"] \n  26 -> 35 [size =\"47506432\"]\n  27 [size=\"166860800\", alpha=\"0.03\", expect_size=\"50058240\"] \n  27 -> 35 [size =\"50058240\"]\n  28 [size=\"54589440\", alpha=\"0.13\", expect_size=\"16376832\"] \n  28 -> 35 [size =\"16376832\"]\n  29 [size=\"55917227\", alpha=\"0.06\", expect_size=\"16775168\"] \n  30 [size=\"124873387\", alpha=\"0.11\", expect_size=\"37462016\"] \n  30 -> 35 [size =\"37462016\"]\n  31 [size=\"149951147\", alpha=\"0.10\", expect_size=\"44985344\"] \n  32 [size=\"85087573\", alpha=\"0.05\", expect_size=\"25526272\"] \n  33 [size=\"86644053\", alpha=\"0.17\", expect_size=\"25993216\"] \n  34 [size=\"126197760\", alpha=\"0.01\", expect_size=\"37859328\"] \n  35 [size=\"149121707\", alpha=\"0.14\", expect_size=\"44736512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98304000\", alpha=\"0.13\", expect_size=\"49152000\"] \n  1 -> 5 [size =\"49152000\"]\n  1 -> 6 [size =\"49152000\"]\n  1 -> 7 [size =\"49152000\"]\n  1 -> 8 [size =\"49152000\"]\n  2 [size=\"55492608\", alpha=\"0.10\", expect_size=\"27746304\"] \n  2 -> 6 [size =\"27746304\"]\n  3 [size=\"72626176\", alpha=\"0.04\", expect_size=\"36313088\"] \n  3 -> 6 [size =\"36313088\"]\n  4 [size=\"63891456\", alpha=\"0.01\", expect_size=\"31945728\"] \n  4 -> 6 [size =\"31945728\"]\n  4 -> 7 [size =\"31945728\"]\n  5 [size=\"45281280\", alpha=\"0.10\", expect_size=\"22640640\"] \n  5 -> 9 [size =\"22640640\"]\n  5 -> 10 [size =\"22640640\"]\n  5 -> 11 [size =\"22640640\"]\n  5 -> 12 [size =\"22640640\"]\n  6 [size=\"50044928\", alpha=\"0.02\", expect_size=\"25022464\"] \n  6 -> 9 [size =\"25022464\"]\n  6 -> 10 [size =\"25022464\"]\n  6 -> 11 [size =\"25022464\"]\n  7 [size=\"63346688\", alpha=\"0.16\", expect_size=\"31673344\"] \n  7 -> 10 [size =\"31673344\"]\n  7 -> 11 [size =\"31673344\"]\n  7 -> 12 [size =\"31673344\"]\n  8 [size=\"35321856\", alpha=\"0.20\", expect_size=\"17660928\"] \n  8 -> 9 [size =\"17660928\"]\n  8 -> 10 [size =\"17660928\"]\n  8 -> 11 [size =\"17660928\"]\n  9 [size=\"67182592\", alpha=\"0.07\", expect_size=\"33591296\"] \n  9 -> 13 [size =\"33591296\"]\n  9 -> 14 [size =\"33591296\"]\n  10 [size=\"23250944\", alpha=\"0.19\", expect_size=\"11625472\"] \n  10 -> 13 [size =\"11625472\"]\n  10 -> 14 [size =\"11625472\"]\n  11 [size=\"87162880\", alpha=\"0.19\", expect_size=\"43581440\"] \n  11 -> 13 [size =\"43581440\"]\n  11 -> 14 [size =\"43581440\"]\n  11 -> 15 [size =\"43581440\"]\n  12 [size=\"56207360\", alpha=\"0.04\", expect_size=\"28103680\"] \n  12 -> 13 [size =\"28103680\"]\n  12 -> 14 [size =\"28103680\"]\n  12 -> 16 [size =\"28103680\"]\n  13 [size=\"104622080\", alpha=\"0.00\", expect_size=\"52311040\"] \n  13 -> 17 [size =\"52311040\"]\n  13 -> 20 [size =\"52311040\"]\n  13 -> 21 [size =\"52311040\"]\n  14 [size=\"30560256\", alpha=\"0.02\", expect_size=\"15280128\"] \n  14 -> 17 [size =\"15280128\"]\n  14 -> 18 [size =\"15280128\"]\n  14 -> 19 [size =\"15280128\"]\n  14 -> 20 [size =\"15280128\"]\n  15 [size=\"37548032\", alpha=\"0.08\", expect_size=\"18774016\"] \n  15 -> 17 [size =\"18774016\"]\n  15 -> 18 [size =\"18774016\"]\n  15 -> 19 [size =\"18774016\"]\n  16 [size=\"84621312\", alpha=\"0.02\", expect_size=\"42310656\"] \n  16 -> 17 [size =\"42310656\"]\n  16 -> 18 [size =\"42310656\"]\n  17 [size=\"91834368\", alpha=\"0.18\", expect_size=\"45917184\"] \n  17 -> 23 [size =\"45917184\"]\n  17 -> 24 [size =\"45917184\"]\n  17 -> 25 [size =\"45917184\"]\n  18 [size=\"73625600\", alpha=\"0.17\", expect_size=\"36812800\"] \n  18 -> 22 [size =\"36812800\"]\n  18 -> 23 [size =\"36812800\"]\n  18 -> 24 [size =\"36812800\"]\n  19 [size=\"71651328\", alpha=\"0.02\", expect_size=\"35825664\"] \n  19 -> 22 [size =\"35825664\"]\n  19 -> 23 [size =\"35825664\"]\n  20 [size=\"104624128\", alpha=\"0.16\", expect_size=\"52312064\"] \n  20 -> 22 [size =\"52312064\"]\n  20 -> 23 [size =\"52312064\"]\n  21 [size=\"98174976\", alpha=\"0.09\", expect_size=\"49087488\"] \n  21 -> 22 [size =\"49087488\"]\n  21 -> 23 [size =\"49087488\"]\n  21 -> 24 [size =\"49087488\"]\n  22 [size=\"94855168\", alpha=\"0.11\", expect_size=\"47427584\"] \n  22 -> 26 [size =\"47427584\"]\n  22 -> 29 [size =\"47427584\"]\n  22 -> 30 [size =\"47427584\"]\n  23 [size=\"18894848\", alpha=\"0.06\", expect_size=\"9447424\"] \n  23 -> 26 [size =\"9447424\"]\n  23 -> 29 [size =\"9447424\"]\n  23 -> 30 [size =\"9447424\"]\n  24 [size=\"20889600\", alpha=\"0.13\", expect_size=\"10444800\"] \n  24 -> 26 [size =\"10444800\"]\n  24 -> 27 [size =\"10444800\"]\n  24 -> 29 [size =\"10444800\"]\n  24 -> 30 [size =\"10444800\"]\n  25 [size=\"27987968\", alpha=\"0.07\", expect_size=\"13993984\"] \n  25 -> 26 [size =\"13993984\"]\n  25 -> 27 [size =\"13993984\"]\n  25 -> 28 [size =\"13993984\"]\n  25 -> 29 [size =\"13993984\"]\n  25 -> 30 [size =\"13993984\"]\n  26 [size=\"66938880\", alpha=\"0.09\", expect_size=\"33469440\"] \n  26 -> 31 [size =\"33469440\"]\n  26 -> 32 [size =\"33469440\"]\n  26 -> 34 [size =\"33469440\"]\n  26 -> 35 [size =\"33469440\"]\n  27 [size=\"75526144\", alpha=\"0.03\", expect_size=\"37763072\"] \n  27 -> 31 [size =\"37763072\"]\n  27 -> 32 [size =\"37763072\"]\n  27 -> 34 [size =\"37763072\"]\n  28 [size=\"66912256\", alpha=\"0.02\", expect_size=\"33456128\"] \n  28 -> 31 [size =\"33456128\"]\n  28 -> 32 [size =\"33456128\"]\n  28 -> 33 [size =\"33456128\"]\n  29 [size=\"53561344\", alpha=\"0.13\", expect_size=\"26780672\"] \n  29 -> 31 [size =\"26780672\"]\n  29 -> 32 [size =\"26780672\"]\n  30 [size=\"64958464\", alpha=\"0.06\", expect_size=\"32479232\"] \n  30 -> 31 [size =\"32479232\"]\n  30 -> 32 [size =\"32479232\"]\n  30 -> 34 [size =\"32479232\"]\n  30 -> 35 [size =\"32479232\"]\n  31 [size=\"47872000\", alpha=\"0.16\", expect_size=\"23936000\"] \n  32 [size=\"90118144\", alpha=\"0.15\", expect_size=\"45059072\"] \n  33 [size=\"47962112\", alpha=\"0.15\", expect_size=\"23981056\"] \n  34 [size=\"77918208\", alpha=\"0.18\", expect_size=\"38959104\"] \n  35 [size=\"44650496\", alpha=\"0.08\", expect_size=\"22325248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98146987\", alpha=\"0.18\", expect_size=\"29444096\"] \n  1 -> 12 [size =\"29444096\"]\n  1 -> 16 [size =\"29444096\"]\n  1 -> 17 [size =\"29444096\"]\n  1 -> 21 [size =\"29444096\"]\n  1 -> 22 [size =\"29444096\"]\n  1 -> 24 [size =\"29444096\"]\n  2 [size=\"144421547\", alpha=\"0.11\", expect_size=\"43326464\"] \n  2 -> 12 [size =\"43326464\"]\n  2 -> 14 [size =\"43326464\"]\n  2 -> 15 [size =\"43326464\"]\n  2 -> 16 [size =\"43326464\"]\n  2 -> 18 [size =\"43326464\"]\n  2 -> 21 [size =\"43326464\"]\n  3 [size=\"49831253\", alpha=\"0.06\", expect_size=\"14949376\"] \n  3 -> 12 [size =\"14949376\"]\n  3 -> 14 [size =\"14949376\"]\n  3 -> 16 [size =\"14949376\"]\n  3 -> 22 [size =\"14949376\"]\n  3 -> 24 [size =\"14949376\"]\n  4 [size=\"23244800\", alpha=\"0.13\", expect_size=\"6973440\"] \n  4 -> 15 [size =\"6973440\"]\n  4 -> 22 [size =\"6973440\"]\n  4 -> 23 [size =\"6973440\"]\n  5 [size=\"135393280\", alpha=\"0.02\", expect_size=\"40617984\"] \n  5 -> 13 [size =\"40617984\"]\n  5 -> 15 [size =\"40617984\"]\n  5 -> 16 [size =\"40617984\"]\n  5 -> 18 [size =\"40617984\"]\n  5 -> 21 [size =\"40617984\"]\n  5 -> 22 [size =\"40617984\"]\n  5 -> 23 [size =\"40617984\"]\n  5 -> 24 [size =\"40617984\"]\n  6 [size=\"87569067\", alpha=\"0.00\", expect_size=\"26270720\"] \n  6 -> 19 [size =\"26270720\"]\n  6 -> 20 [size =\"26270720\"]\n  6 -> 23 [size =\"26270720\"]\n  7 [size=\"88558933\", alpha=\"0.03\", expect_size=\"26567680\"] \n  7 -> 13 [size =\"26567680\"]\n  7 -> 19 [size =\"26567680\"]\n  7 -> 22 [size =\"26567680\"]\n  7 -> 23 [size =\"26567680\"]\n  7 -> 24 [size =\"26567680\"]\n  8 [size=\"118821547\", alpha=\"0.10\", expect_size=\"35646464\"] \n  8 -> 12 [size =\"35646464\"]\n  8 -> 15 [size =\"35646464\"]\n  8 -> 21 [size =\"35646464\"]\n  8 -> 22 [size =\"35646464\"]\n  8 -> 24 [size =\"35646464\"]\n  9 [size=\"130191360\", alpha=\"0.08\", expect_size=\"39057408\"] \n  9 -> 14 [size =\"39057408\"]\n  10 [size=\"47496533\", alpha=\"0.01\", expect_size=\"14248960\"] \n  10 -> 12 [size =\"14248960\"]\n  10 -> 13 [size =\"14248960\"]\n  10 -> 19 [size =\"14248960\"]\n  10 -> 21 [size =\"14248960\"]\n  10 -> 22 [size =\"14248960\"]\n  11 [size=\"34754560\", alpha=\"0.09\", expect_size=\"10426368\"] \n  11 -> 12 [size =\"10426368\"]\n  11 -> 21 [size =\"10426368\"]\n  11 -> 24 [size =\"10426368\"]\n  12 [size=\"172997973\", alpha=\"0.05\", expect_size=\"51899392\"] \n  12 -> 28 [size =\"51899392\"]\n  12 -> 35 [size =\"51899392\"]\n  13 [size=\"101143893\", alpha=\"0.19\", expect_size=\"30343168\"] \n  13 -> 25 [size =\"30343168\"]\n  13 -> 29 [size =\"30343168\"]\n  13 -> 34 [size =\"30343168\"]\n  14 [size=\"148739413\", alpha=\"0.01\", expect_size=\"44621824\"] \n  14 -> 25 [size =\"44621824\"]\n  14 -> 28 [size =\"44621824\"]\n  14 -> 29 [size =\"44621824\"]\n  14 -> 32 [size =\"44621824\"]\n  15 [size=\"92730027\", alpha=\"0.13\", expect_size=\"27819008\"] \n  15 -> 28 [size =\"27819008\"]\n  15 -> 29 [size =\"27819008\"]\n  15 -> 30 [size =\"27819008\"]\n  15 -> 32 [size =\"27819008\"]\n  15 -> 33 [size =\"27819008\"]\n  15 -> 35 [size =\"27819008\"]\n  16 [size=\"108004693\", alpha=\"0.11\", expect_size=\"32401408\"] \n  16 -> 35 [size =\"32401408\"]\n  17 [size=\"110619307\", alpha=\"0.19\", expect_size=\"33185792\"] \n  17 -> 25 [size =\"33185792\"]\n  17 -> 27 [size =\"33185792\"]\n  17 -> 28 [size =\"33185792\"]\n  17 -> 30 [size =\"33185792\"]\n  17 -> 35 [size =\"33185792\"]\n  18 [size=\"136618667\", alpha=\"0.20\", expect_size=\"40985600\"] \n  18 -> 27 [size =\"40985600\"]\n  18 -> 30 [size =\"40985600\"]\n  18 -> 33 [size =\"40985600\"]\n  19 [size=\"55521280\", alpha=\"0.20\", expect_size=\"16656384\"] \n  19 -> 27 [size =\"16656384\"]\n  19 -> 30 [size =\"16656384\"]\n  20 [size=\"117906773\", alpha=\"0.08\", expect_size=\"35372032\"] \n  20 -> 27 [size =\"35372032\"]\n  20 -> 29 [size =\"35372032\"]\n  20 -> 32 [size =\"35372032\"]\n  20 -> 33 [size =\"35372032\"]\n  21 [size=\"127624533\", alpha=\"0.06\", expect_size=\"38287360\"] \n  21 -> 27 [size =\"38287360\"]\n  21 -> 30 [size =\"38287360\"]\n  21 -> 33 [size =\"38287360\"]\n  21 -> 35 [size =\"38287360\"]\n  22 [size=\"43636053\", alpha=\"0.00\", expect_size=\"13090816\"] \n  22 -> 25 [size =\"13090816\"]\n  22 -> 26 [size =\"13090816\"]\n  22 -> 28 [size =\"13090816\"]\n  22 -> 29 [size =\"13090816\"]\n  22 -> 32 [size =\"13090816\"]\n  23 [size=\"80670720\", alpha=\"0.18\", expect_size=\"24201216\"] \n  23 -> 28 [size =\"24201216\"]\n  23 -> 30 [size =\"24201216\"]\n  23 -> 31 [size =\"24201216\"]\n  23 -> 32 [size =\"24201216\"]\n  23 -> 33 [size =\"24201216\"]\n  24 [size=\"69519360\", alpha=\"0.18\", expect_size=\"20855808\"] \n  24 -> 27 [size =\"20855808\"]\n  24 -> 28 [size =\"20855808\"]\n  24 -> 29 [size =\"20855808\"]\n  24 -> 35 [size =\"20855808\"]\n  25 [size=\"77236907\", alpha=\"0.12\", expect_size=\"23171072\"] \n  26 [size=\"19316053\", alpha=\"0.15\", expect_size=\"5794816\"] \n  27 [size=\"103427413\", alpha=\"0.07\", expect_size=\"31028224\"] \n  28 [size=\"94894080\", alpha=\"0.12\", expect_size=\"28468224\"] \n  29 [size=\"93136213\", alpha=\"0.11\", expect_size=\"27940864\"] \n  30 [size=\"91675307\", alpha=\"0.14\", expect_size=\"27502592\"] \n  31 [size=\"151982080\", alpha=\"0.19\", expect_size=\"45594624\"] \n  32 [size=\"40154453\", alpha=\"0.04\", expect_size=\"12046336\"] \n  33 [size=\"40424107\", alpha=\"0.20\", expect_size=\"12127232\"] \n  34 [size=\"27866453\", alpha=\"0.12\", expect_size=\"8359936\"] \n  35 [size=\"165533013\", alpha=\"0.14\", expect_size=\"49659904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80640000\", alpha=\"0.10\", expect_size=\"24192000\"] \n  1 -> 3 [size =\"24192000\"]\n  2 [size=\"79977813\", alpha=\"0.04\", expect_size=\"23993344\"] \n  3 [size=\"20172800\", alpha=\"0.16\", expect_size=\"6051840\"] \n  3 -> 4 [size =\"6051840\"]\n  3 -> 5 [size =\"6051840\"]\n  4 [size=\"97341440\", alpha=\"0.19\", expect_size=\"29202432\"] \n  4 -> 6 [size =\"29202432\"]\n  5 [size=\"61419520\", alpha=\"0.09\", expect_size=\"18425856\"] \n  6 [size=\"117848747\", alpha=\"0.17\", expect_size=\"35354624\"] \n  6 -> 7 [size =\"35354624\"]\n  6 -> 8 [size =\"35354624\"]\n  7 [size=\"151156053\", alpha=\"0.14\", expect_size=\"45346816\"] \n  7 -> 9 [size =\"45346816\"]\n  8 [size=\"28883627\", alpha=\"0.07\", expect_size=\"8665088\"] \n  8 -> 10 [size =\"8665088\"]\n  9 [size=\"98850133\", alpha=\"0.03\", expect_size=\"29655040\"] \n  9 -> 12 [size =\"29655040\"]\n  10 [size=\"134307840\", alpha=\"0.15\", expect_size=\"40292352\"] \n  10 -> 11 [size =\"40292352\"]\n  10 -> 12 [size =\"40292352\"]\n  11 [size=\"26572800\", alpha=\"0.16\", expect_size=\"7971840\"] \n  11 -> 13 [size =\"7971840\"]\n  12 [size=\"105164800\", alpha=\"0.18\", expect_size=\"31549440\"] \n  12 -> 13 [size =\"31549440\"]\n  13 [size=\"134144000\", alpha=\"0.17\", expect_size=\"40243200\"] \n  13 -> 14 [size =\"40243200\"]\n  13 -> 15 [size =\"40243200\"]\n  14 [size=\"101242880\", alpha=\"0.05\", expect_size=\"30372864\"] \n  15 [size=\"92214613\", alpha=\"0.10\", expect_size=\"27664384\"] \n  15 -> 16 [size =\"27664384\"]\n  16 [size=\"166137173\", alpha=\"0.08\", expect_size=\"49841152\"] \n  16 -> 17 [size =\"49841152\"]\n  17 [size=\"141390507\", alpha=\"0.19\", expect_size=\"42417152\"] \n  17 -> 18 [size =\"42417152\"]\n  17 -> 19 [size =\"42417152\"]\n  18 [size=\"90890240\", alpha=\"0.02\", expect_size=\"27267072\"] \n  18 -> 20 [size =\"27267072\"]\n  18 -> 21 [size =\"27267072\"]\n  19 [size=\"144991573\", alpha=\"0.07\", expect_size=\"43497472\"] \n  19 -> 21 [size =\"43497472\"]\n  20 [size=\"171915947\", alpha=\"0.16\", expect_size=\"51574784\"] \n  20 -> 22 [size =\"51574784\"]\n  21 [size=\"128740693\", alpha=\"0.12\", expect_size=\"38622208\"] \n  21 -> 22 [size =\"38622208\"]\n  22 [size=\"100659200\", alpha=\"0.17\", expect_size=\"30197760\"] \n  22 -> 23 [size =\"30197760\"]\n  22 -> 24 [size =\"30197760\"]\n  23 [size=\"88043520\", alpha=\"0.01\", expect_size=\"26413056\"] \n  24 [size=\"61498027\", alpha=\"0.16\", expect_size=\"18449408\"] \n  24 -> 25 [size =\"18449408\"]\n  24 -> 26 [size =\"18449408\"]\n  25 [size=\"103096320\", alpha=\"0.17\", expect_size=\"30928896\"] \n  25 -> 27 [size =\"30928896\"]\n  26 [size=\"26859520\", alpha=\"0.10\", expect_size=\"8057856\"] \n  27 [size=\"92436480\", alpha=\"0.00\", expect_size=\"27730944\"] \n  27 -> 28 [size =\"27730944\"]\n  28 [size=\"83176107\", alpha=\"0.12\", expect_size=\"24952832\"] \n  28 -> 29 [size =\"24952832\"]\n  28 -> 30 [size =\"24952832\"]\n  29 [size=\"97037653\", alpha=\"0.14\", expect_size=\"29111296\"] \n  30 [size=\"153026560\", alpha=\"0.11\", expect_size=\"45907968\"] \n  30 -> 31 [size =\"45907968\"]\n  31 [size=\"118388053\", alpha=\"0.09\", expect_size=\"35516416\"] \n  31 -> 32 [size =\"35516416\"]\n  32 [size=\"56285867\", alpha=\"0.19\", expect_size=\"16885760\"] \n  32 -> 33 [size =\"16885760\"]\n  32 -> 34 [size =\"16885760\"]\n  33 [size=\"29224960\", alpha=\"0.03\", expect_size=\"8767488\"] \n  33 -> 35 [size =\"8767488\"]\n  34 [size=\"39905280\", alpha=\"0.18\", expect_size=\"11971584\"] \n  35 [size=\"168195413\", alpha=\"0.02\", expect_size=\"50458624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53015893\", alpha=\"0.01\", expect_size=\"15904768\"] \n  1 -> 3 [size =\"15904768\"]\n  1 -> 4 [size =\"15904768\"]\n  2 [size=\"90627413\", alpha=\"0.10\", expect_size=\"27188224\"] \n  3 [size=\"155586560\", alpha=\"0.13\", expect_size=\"46675968\"] \n  3 -> 5 [size =\"46675968\"]\n  3 -> 6 [size =\"46675968\"]\n  4 [size=\"128187733\", alpha=\"0.06\", expect_size=\"38456320\"] \n  4 -> 6 [size =\"38456320\"]\n  5 [size=\"174615893\", alpha=\"0.01\", expect_size=\"52384768\"] \n  5 -> 7 [size =\"52384768\"]\n  6 [size=\"135840427\", alpha=\"0.17\", expect_size=\"40752128\"] \n  7 [size=\"143261013\", alpha=\"0.16\", expect_size=\"42978304\"] \n  7 -> 8 [size =\"42978304\"]\n  8 [size=\"87470080\", alpha=\"0.18\", expect_size=\"26241024\"] \n  8 -> 9 [size =\"26241024\"]\n  8 -> 10 [size =\"26241024\"]\n  9 [size=\"23350613\", alpha=\"0.01\", expect_size=\"7005184\"] \n  9 -> 11 [size =\"7005184\"]\n  9 -> 12 [size =\"7005184\"]\n  10 [size=\"58518187\", alpha=\"0.07\", expect_size=\"17555456\"] \n  11 [size=\"164693333\", alpha=\"0.10\", expect_size=\"49408000\"] \n  11 -> 13 [size =\"49408000\"]\n  11 -> 14 [size =\"49408000\"]\n  12 [size=\"18435413\", alpha=\"0.17\", expect_size=\"5530624\"] \n  13 [size=\"98239147\", alpha=\"0.20\", expect_size=\"29471744\"] \n  13 -> 16 [size =\"29471744\"]\n  14 [size=\"45571413\", alpha=\"0.19\", expect_size=\"13671424\"] \n  14 -> 15 [size =\"13671424\"]\n  15 [size=\"92170240\", alpha=\"0.02\", expect_size=\"27651072\"] \n  15 -> 17 [size =\"27651072\"]\n  16 [size=\"101642240\", alpha=\"0.03\", expect_size=\"30492672\"] \n  17 [size=\"74478933\", alpha=\"0.19\", expect_size=\"22343680\"] \n  17 -> 18 [size =\"22343680\"]\n  17 -> 19 [size =\"22343680\"]\n  18 [size=\"39830187\", alpha=\"0.02\", expect_size=\"11949056\"] \n  18 -> 20 [size =\"11949056\"]\n  18 -> 21 [size =\"11949056\"]\n  19 [size=\"22927360\", alpha=\"0.00\", expect_size=\"6878208\"] \n  19 -> 20 [size =\"6878208\"]\n  19 -> 21 [size =\"6878208\"]\n  20 [size=\"30720000\", alpha=\"0.00\", expect_size=\"9216000\"] \n  20 -> 23 [size =\"9216000\"]\n  21 [size=\"87152640\", alpha=\"0.05\", expect_size=\"26145792\"] \n  21 -> 22 [size =\"26145792\"]\n  22 [size=\"167714133\", alpha=\"0.18\", expect_size=\"50314240\"] \n  22 -> 24 [size =\"50314240\"]\n  23 [size=\"142503253\", alpha=\"0.10\", expect_size=\"42750976\"] \n  23 -> 24 [size =\"42750976\"]\n  24 [size=\"141933227\", alpha=\"0.15\", expect_size=\"42579968\"] \n  24 -> 25 [size =\"42579968\"]\n  25 [size=\"137390080\", alpha=\"0.00\", expect_size=\"41217024\"] \n  25 -> 26 [size =\"41217024\"]\n  25 -> 27 [size =\"41217024\"]\n  26 [size=\"151080960\", alpha=\"0.00\", expect_size=\"45324288\"] \n  26 -> 28 [size =\"45324288\"]\n  26 -> 29 [size =\"45324288\"]\n  27 [size=\"17943893\", alpha=\"0.17\", expect_size=\"5383168\"] \n  27 -> 29 [size =\"5383168\"]\n  28 [size=\"167813120\", alpha=\"0.02\", expect_size=\"50343936\"] \n  28 -> 30 [size =\"50343936\"]\n  29 [size=\"23251627\", alpha=\"0.08\", expect_size=\"6975488\"] \n  30 [size=\"26439680\", alpha=\"0.19\", expect_size=\"7931904\"] \n  30 -> 31 [size =\"7931904\"]\n  31 [size=\"28467200\", alpha=\"0.09\", expect_size=\"8540160\"] \n  31 -> 32 [size =\"8540160\"]\n  32 [size=\"64870400\", alpha=\"0.19\", expect_size=\"19461120\"] \n  32 -> 33 [size =\"19461120\"]\n  33 [size=\"51520853\", alpha=\"0.20\", expect_size=\"15456256\"] \n  33 -> 34 [size =\"15456256\"]\n  33 -> 35 [size =\"15456256\"]\n  34 [size=\"126525440\", alpha=\"0.03\", expect_size=\"37957632\"] \n  35 [size=\"86029653\", alpha=\"0.17\", expect_size=\"25808896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96215040\", alpha=\"0.09\", expect_size=\"48107520\"] \n  1 -> 2 [size =\"48107520\"]\n  2 [size=\"99457024\", alpha=\"0.13\", expect_size=\"49728512\"] \n  2 -> 3 [size =\"49728512\"]\n  3 [size=\"28108800\", alpha=\"0.12\", expect_size=\"14054400\"] \n  3 -> 4 [size =\"14054400\"]\n  4 [size=\"20805632\", alpha=\"0.12\", expect_size=\"10402816\"] \n  4 -> 5 [size =\"10402816\"]\n  5 [size=\"36141056\", alpha=\"0.04\", expect_size=\"18070528\"] \n  5 -> 6 [size =\"18070528\"]\n  6 [size=\"23121920\", alpha=\"0.19\", expect_size=\"11560960\"] \n  6 -> 7 [size =\"11560960\"]\n  7 [size=\"80992256\", alpha=\"0.19\", expect_size=\"40496128\"] \n  7 -> 8 [size =\"40496128\"]\n  8 [size=\"71655424\", alpha=\"0.07\", expect_size=\"35827712\"] \n  8 -> 9 [size =\"35827712\"]\n  9 [size=\"27801600\", alpha=\"0.14\", expect_size=\"13900800\"] \n  9 -> 10 [size =\"13900800\"]\n  10 [size=\"81737728\", alpha=\"0.16\", expect_size=\"40868864\"] \n  10 -> 11 [size =\"40868864\"]\n  11 [size=\"34490368\", alpha=\"0.12\", expect_size=\"17245184\"] \n  11 -> 12 [size =\"17245184\"]\n  12 [size=\"78446592\", alpha=\"0.15\", expect_size=\"39223296\"] \n  12 -> 13 [size =\"39223296\"]\n  13 [size=\"47443968\", alpha=\"0.14\", expect_size=\"23721984\"] \n  13 -> 14 [size =\"23721984\"]\n  14 [size=\"104693760\", alpha=\"0.04\", expect_size=\"52346880\"] \n  14 -> 15 [size =\"52346880\"]\n  15 [size=\"67244032\", alpha=\"0.08\", expect_size=\"33622016\"] \n  15 -> 16 [size =\"33622016\"]\n  16 [size=\"85702656\", alpha=\"0.11\", expect_size=\"42851328\"] \n  16 -> 17 [size =\"42851328\"]\n  17 [size=\"81790976\", alpha=\"0.11\", expect_size=\"40895488\"] \n  17 -> 18 [size =\"40895488\"]\n  18 [size=\"78387200\", alpha=\"0.16\", expect_size=\"39193600\"] \n  18 -> 19 [size =\"39193600\"]\n  19 [size=\"15581184\", alpha=\"0.17\", expect_size=\"7790592\"] \n  19 -> 20 [size =\"7790592\"]\n  20 [size=\"81580032\", alpha=\"0.05\", expect_size=\"40790016\"] \n  20 -> 21 [size =\"40790016\"]\n  21 [size=\"62275584\", alpha=\"0.12\", expect_size=\"31137792\"] \n  21 -> 22 [size =\"31137792\"]\n  22 [size=\"23697408\", alpha=\"0.17\", expect_size=\"11848704\"] \n  22 -> 23 [size =\"11848704\"]\n  23 [size=\"95248384\", alpha=\"0.06\", expect_size=\"47624192\"] \n  23 -> 24 [size =\"47624192\"]\n  24 [size=\"66326528\", alpha=\"0.18\", expect_size=\"33163264\"] \n  24 -> 25 [size =\"33163264\"]\n  25 [size=\"86697984\", alpha=\"0.14\", expect_size=\"43348992\"] \n  25 -> 26 [size =\"43348992\"]\n  26 [size=\"31328256\", alpha=\"0.14\", expect_size=\"15664128\"] \n  26 -> 27 [size =\"15664128\"]\n  27 [size=\"83456000\", alpha=\"0.08\", expect_size=\"41728000\"] \n  27 -> 28 [size =\"41728000\"]\n  28 [size=\"43130880\", alpha=\"0.15\", expect_size=\"21565440\"] \n  28 -> 29 [size =\"21565440\"]\n  29 [size=\"26433536\", alpha=\"0.06\", expect_size=\"13216768\"] \n  29 -> 30 [size =\"13216768\"]\n  30 [size=\"11091968\", alpha=\"0.13\", expect_size=\"5545984\"] \n  30 -> 31 [size =\"5545984\"]\n  31 [size=\"35256320\", alpha=\"0.04\", expect_size=\"17628160\"] \n  31 -> 32 [size =\"17628160\"]\n  32 [size=\"90281984\", alpha=\"0.09\", expect_size=\"45140992\"] \n  32 -> 33 [size =\"45140992\"]\n  33 [size=\"76398592\", alpha=\"0.03\", expect_size=\"38199296\"] \n  33 -> 34 [size =\"38199296\"]\n  34 [size=\"11229184\", alpha=\"0.16\", expect_size=\"5614592\"] \n  34 -> 35 [size =\"5614592\"]\n  35 [size=\"93841408\", alpha=\"0.02\", expect_size=\"46920704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73809920\", alpha=\"0.05\", expect_size=\"22142976\"] \n  1 -> 2 [size =\"22142976\"]\n  2 [size=\"130662400\", alpha=\"0.02\", expect_size=\"39198720\"] \n  2 -> 3 [size =\"39198720\"]\n  2 -> 4 [size =\"39198720\"]\n  3 [size=\"170601813\", alpha=\"0.19\", expect_size=\"51180544\"] \n  3 -> 5 [size =\"51180544\"]\n  3 -> 6 [size =\"51180544\"]\n  4 [size=\"102840320\", alpha=\"0.11\", expect_size=\"30852096\"] \n  4 -> 5 [size =\"30852096\"]\n  4 -> 6 [size =\"30852096\"]\n  5 [size=\"132706987\", alpha=\"0.01\", expect_size=\"39812096\"] \n  6 [size=\"34669227\", alpha=\"0.03\", expect_size=\"10400768\"] \n  6 -> 7 [size =\"10400768\"]\n  7 [size=\"150995627\", alpha=\"0.04\", expect_size=\"45298688\"] \n  7 -> 8 [size =\"45298688\"]\n  7 -> 9 [size =\"45298688\"]\n  8 [size=\"59426133\", alpha=\"0.18\", expect_size=\"17827840\"] \n  8 -> 10 [size =\"17827840\"]\n  9 [size=\"56436053\", alpha=\"0.10\", expect_size=\"16930816\"] \n  9 -> 10 [size =\"16930816\"]\n  10 [size=\"115186347\", alpha=\"0.12\", expect_size=\"34555904\"] \n  10 -> 11 [size =\"34555904\"]\n  10 -> 12 [size =\"34555904\"]\n  11 [size=\"109909333\", alpha=\"0.15\", expect_size=\"32972800\"] \n  11 -> 13 [size =\"32972800\"]\n  12 [size=\"151268693\", alpha=\"0.12\", expect_size=\"45380608\"] \n  12 -> 13 [size =\"45380608\"]\n  13 [size=\"166597973\", alpha=\"0.19\", expect_size=\"49979392\"] \n  13 -> 14 [size =\"49979392\"]\n  14 [size=\"155999573\", alpha=\"0.13\", expect_size=\"46799872\"] \n  14 -> 15 [size =\"46799872\"]\n  15 [size=\"88674987\", alpha=\"0.00\", expect_size=\"26602496\"] \n  15 -> 16 [size =\"26602496\"]\n  16 [size=\"96788480\", alpha=\"0.12\", expect_size=\"29036544\"] \n  16 -> 17 [size =\"29036544\"]\n  16 -> 18 [size =\"29036544\"]\n  17 [size=\"118848853\", alpha=\"0.14\", expect_size=\"35654656\"] \n  17 -> 19 [size =\"35654656\"]\n  18 [size=\"151248213\", alpha=\"0.17\", expect_size=\"45374464\"] \n  18 -> 20 [size =\"45374464\"]\n  19 [size=\"136127147\", alpha=\"0.14\", expect_size=\"40838144\"] \n  20 [size=\"54848853\", alpha=\"0.11\", expect_size=\"16454656\"] \n  20 -> 21 [size =\"16454656\"]\n  21 [size=\"148899840\", alpha=\"0.15\", expect_size=\"44669952\"] \n  21 -> 22 [size =\"44669952\"]\n  22 [size=\"107526827\", alpha=\"0.13\", expect_size=\"32258048\"] \n  22 -> 23 [size =\"32258048\"]\n  23 [size=\"47127893\", alpha=\"0.11\", expect_size=\"14138368\"] \n  23 -> 24 [size =\"14138368\"]\n  23 -> 25 [size =\"14138368\"]\n  24 [size=\"40690347\", alpha=\"0.19\", expect_size=\"12207104\"] \n  24 -> 27 [size =\"12207104\"]\n  25 [size=\"146373973\", alpha=\"0.03\", expect_size=\"43912192\"] \n  25 -> 26 [size =\"43912192\"]\n  25 -> 27 [size =\"43912192\"]\n  26 [size=\"147397973\", alpha=\"0.08\", expect_size=\"44219392\"] \n  26 -> 28 [size =\"44219392\"]\n  27 [size=\"84674560\", alpha=\"0.11\", expect_size=\"25402368\"] \n  27 -> 29 [size =\"25402368\"]\n  28 [size=\"40529920\", alpha=\"0.19\", expect_size=\"12158976\"] \n  28 -> 30 [size =\"12158976\"]\n  29 [size=\"18582187\", alpha=\"0.12\", expect_size=\"5574656\"] \n  29 -> 30 [size =\"5574656\"]\n  29 -> 31 [size =\"5574656\"]\n  30 [size=\"126303573\", alpha=\"0.17\", expect_size=\"37891072\"] \n  31 [size=\"51756373\", alpha=\"0.14\", expect_size=\"15526912\"] \n  31 -> 32 [size =\"15526912\"]\n  32 [size=\"165857280\", alpha=\"0.08\", expect_size=\"49757184\"] \n  32 -> 33 [size =\"49757184\"]\n  33 [size=\"109929813\", alpha=\"0.01\", expect_size=\"32978944\"] \n  33 -> 34 [size =\"32978944\"]\n  34 [size=\"37106347\", alpha=\"0.11\", expect_size=\"11131904\"] \n  34 -> 35 [size =\"11131904\"]\n  35 [size=\"32747520\", alpha=\"0.11\", expect_size=\"9824256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164532907\", alpha=\"0.05\", expect_size=\"49359872\"] \n  2 [size=\"107847680\", alpha=\"0.14\", expect_size=\"32354304\"] \n  3 [size=\"30532267\", alpha=\"0.15\", expect_size=\"9159680\"] \n  4 [size=\"159597227\", alpha=\"0.12\", expect_size=\"47879168\"] \n  4 -> 32 [size =\"47879168\"]\n  4 -> 34 [size =\"47879168\"]\n  5 [size=\"102171307\", alpha=\"0.18\", expect_size=\"30651392\"] \n  6 [size=\"129805653\", alpha=\"0.20\", expect_size=\"38941696\"] \n  6 -> 31 [size =\"38941696\"]\n  6 -> 32 [size =\"38941696\"]\n  7 [size=\"50455893\", alpha=\"0.18\", expect_size=\"15136768\"] \n  7 -> 31 [size =\"15136768\"]\n  8 [size=\"70963200\", alpha=\"0.06\", expect_size=\"21288960\"] \n  9 [size=\"23552000\", alpha=\"0.18\", expect_size=\"7065600\"] \n  9 -> 35 [size =\"7065600\"]\n  10 [size=\"172134400\", alpha=\"0.17\", expect_size=\"51640320\"] \n  11 [size=\"138475520\", alpha=\"0.01\", expect_size=\"41542656\"] \n  12 [size=\"17807360\", alpha=\"0.19\", expect_size=\"5342208\"] \n  12 -> 31 [size =\"5342208\"]\n  12 -> 34 [size =\"5342208\"]\n  13 [size=\"128826027\", alpha=\"0.10\", expect_size=\"38647808\"] \n  14 [size=\"92955307\", alpha=\"0.11\", expect_size=\"27886592\"] \n  14 -> 35 [size =\"27886592\"]\n  15 [size=\"32935253\", alpha=\"0.07\", expect_size=\"9880576\"] \n  15 -> 32 [size =\"9880576\"]\n  16 [size=\"170717867\", alpha=\"0.04\", expect_size=\"51215360\"] \n  16 -> 34 [size =\"51215360\"]\n  16 -> 35 [size =\"51215360\"]\n  17 [size=\"169881600\", alpha=\"0.03\", expect_size=\"50964480\"] \n  17 -> 34 [size =\"50964480\"]\n  18 [size=\"155354453\", alpha=\"0.12\", expect_size=\"46606336\"] \n  18 -> 34 [size =\"46606336\"]\n  19 [size=\"45096960\", alpha=\"0.04\", expect_size=\"13529088\"] \n  19 -> 31 [size =\"13529088\"]\n  20 [size=\"26726400\", alpha=\"0.10\", expect_size=\"8017920\"] \n  21 [size=\"160320853\", alpha=\"0.15\", expect_size=\"48096256\"] \n  21 -> 33 [size =\"48096256\"]\n  22 [size=\"168700587\", alpha=\"0.11\", expect_size=\"50610176\"] \n  22 -> 32 [size =\"50610176\"]\n  23 [size=\"162184533\", alpha=\"0.09\", expect_size=\"48655360\"] \n  23 -> 34 [size =\"48655360\"]\n  23 -> 35 [size =\"48655360\"]\n  24 [size=\"83008853\", alpha=\"0.05\", expect_size=\"24902656\"] \n  24 -> 34 [size =\"24902656\"]\n  25 [size=\"166242987\", alpha=\"0.12\", expect_size=\"49872896\"] \n  25 -> 32 [size =\"49872896\"]\n  25 -> 34 [size =\"49872896\"]\n  26 [size=\"64744107\", alpha=\"0.13\", expect_size=\"19423232\"] \n  26 -> 32 [size =\"19423232\"]\n  27 [size=\"97501867\", alpha=\"0.18\", expect_size=\"29250560\"] \n  27 -> 32 [size =\"29250560\"]\n  27 -> 35 [size =\"29250560\"]\n  28 [size=\"124829013\", alpha=\"0.10\", expect_size=\"37448704\"] \n  29 [size=\"58716160\", alpha=\"0.03\", expect_size=\"17614848\"] \n  30 [size=\"91750400\", alpha=\"0.15\", expect_size=\"27525120\"] \n  31 [size=\"172185600\", alpha=\"0.03\", expect_size=\"51655680\"] \n  32 [size=\"132505600\", alpha=\"0.11\", expect_size=\"39751680\"] \n  33 [size=\"63088640\", alpha=\"0.13\", expect_size=\"18926592\"] \n  34 [size=\"134273707\", alpha=\"0.04\", expect_size=\"40282112\"] \n  35 [size=\"173615787\", alpha=\"0.18\", expect_size=\"52084736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96542720\", alpha=\"0.06\", expect_size=\"38617088\"] \n  2 [size=\"41812480\", alpha=\"0.15\", expect_size=\"16724992\"] \n  2 -> 8 [size =\"16724992\"]\n  3 [size=\"76899840\", alpha=\"0.05\", expect_size=\"30759936\"] \n  3 -> 6 [size =\"30759936\"]\n  3 -> 7 [size =\"30759936\"]\n  3 -> 8 [size =\"30759936\"]\n  4 [size=\"103406080\", alpha=\"0.17\", expect_size=\"41362432\"] \n  5 [size=\"58112000\", alpha=\"0.07\", expect_size=\"23244800\"] \n  5 -> 7 [size =\"23244800\"]\n  6 [size=\"85598720\", alpha=\"0.06\", expect_size=\"34239488\"] \n  6 -> 9 [size =\"34239488\"]\n  6 -> 13 [size =\"34239488\"]\n  7 [size=\"130647040\", alpha=\"0.02\", expect_size=\"52258816\"] \n  7 -> 10 [size =\"52258816\"]\n  7 -> 11 [size =\"52258816\"]\n  7 -> 12 [size =\"52258816\"]\n  8 [size=\"90521600\", alpha=\"0.16\", expect_size=\"36208640\"] \n  8 -> 10 [size =\"36208640\"]\n  8 -> 11 [size =\"36208640\"]\n  9 [size=\"104727040\", alpha=\"0.13\", expect_size=\"41890816\"] \n  9 -> 14 [size =\"41890816\"]\n  9 -> 15 [size =\"41890816\"]\n  10 [size=\"58787840\", alpha=\"0.16\", expect_size=\"23515136\"] \n  10 -> 14 [size =\"23515136\"]\n  10 -> 15 [size =\"23515136\"]\n  10 -> 19 [size =\"23515136\"]\n  11 [size=\"36055040\", alpha=\"0.00\", expect_size=\"14422016\"] \n  11 -> 17 [size =\"14422016\"]\n  11 -> 18 [size =\"14422016\"]\n  11 -> 19 [size =\"14422016\"]\n  12 [size=\"71943680\", alpha=\"0.17\", expect_size=\"28777472\"] \n  12 -> 16 [size =\"28777472\"]\n  13 [size=\"40995840\", alpha=\"0.02\", expect_size=\"16398336\"] \n  13 -> 16 [size =\"16398336\"]\n  14 [size=\"71395840\", alpha=\"0.17\", expect_size=\"28558336\"] \n  14 -> 20 [size =\"28558336\"]\n  15 [size=\"52538880\", alpha=\"0.09\", expect_size=\"21015552\"] \n  15 -> 21 [size =\"21015552\"]\n  15 -> 22 [size =\"21015552\"]\n  15 -> 23 [size =\"21015552\"]\n  16 [size=\"92523520\", alpha=\"0.17\", expect_size=\"37009408\"] \n  16 -> 24 [size =\"37009408\"]\n  17 [size=\"126492160\", alpha=\"0.08\", expect_size=\"50596864\"] \n  17 -> 22 [size =\"50596864\"]\n  17 -> 23 [size =\"50596864\"]\n  18 [size=\"20815360\", alpha=\"0.00\", expect_size=\"8326144\"] \n  18 -> 20 [size =\"8326144\"]\n  18 -> 22 [size =\"8326144\"]\n  18 -> 23 [size =\"8326144\"]\n  19 [size=\"114437120\", alpha=\"0.03\", expect_size=\"45774848\"] \n  19 -> 20 [size =\"45774848\"]\n  19 -> 22 [size =\"45774848\"]\n  20 [size=\"72642560\", alpha=\"0.16\", expect_size=\"29057024\"] \n  20 -> 25 [size =\"29057024\"]\n  20 -> 26 [size =\"29057024\"]\n  20 -> 27 [size =\"29057024\"]\n  21 [size=\"46993920\", alpha=\"0.03\", expect_size=\"18797568\"] \n  21 -> 28 [size =\"18797568\"]\n  22 [size=\"47162880\", alpha=\"0.15\", expect_size=\"18865152\"] \n  22 -> 26 [size =\"18865152\"]\n  22 -> 29 [size =\"18865152\"]\n  23 [size=\"29534720\", alpha=\"0.18\", expect_size=\"11813888\"] \n  23 -> 25 [size =\"11813888\"]\n  23 -> 27 [size =\"11813888\"]\n  23 -> 28 [size =\"11813888\"]\n  24 [size=\"42767360\", alpha=\"0.16\", expect_size=\"17106944\"] \n  24 -> 25 [size =\"17106944\"]\n  24 -> 27 [size =\"17106944\"]\n  25 [size=\"27752960\", alpha=\"0.02\", expect_size=\"11101184\"] \n  26 [size=\"83381760\", alpha=\"0.00\", expect_size=\"33352704\"] \n  26 -> 31 [size =\"33352704\"]\n  27 [size=\"67681280\", alpha=\"0.18\", expect_size=\"27072512\"] \n  27 -> 31 [size =\"27072512\"]\n  28 [size=\"117808640\", alpha=\"0.09\", expect_size=\"47123456\"] \n  28 -> 32 [size =\"47123456\"]\n  29 [size=\"118128640\", alpha=\"0.16\", expect_size=\"47251456\"] \n  29 -> 30 [size =\"47251456\"]\n  29 -> 31 [size =\"47251456\"]\n  30 [size=\"15495680\", alpha=\"0.11\", expect_size=\"6198272\"] \n  30 -> 33 [size =\"6198272\"]\n  31 [size=\"108042240\", alpha=\"0.09\", expect_size=\"43216896\"] \n  32 [size=\"125317120\", alpha=\"0.17\", expect_size=\"50126848\"] \n  32 -> 34 [size =\"50126848\"]\n  32 -> 35 [size =\"50126848\"]\n  33 [size=\"96025600\", alpha=\"0.11\", expect_size=\"38410240\"] \n  34 [size=\"83957760\", alpha=\"0.13\", expect_size=\"33583104\"] \n  35 [size=\"61452800\", alpha=\"0.03\", expect_size=\"24581120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33298432\", alpha=\"0.05\", expect_size=\"16649216\"] \n  1 -> 28 [size =\"16649216\"]\n  1 -> 29 [size =\"16649216\"]\n  1 -> 30 [size =\"16649216\"]\n  1 -> 31 [size =\"16649216\"]\n  1 -> 32 [size =\"16649216\"]\n  1 -> 34 [size =\"16649216\"]\n  1 -> 35 [size =\"16649216\"]\n  2 [size=\"74246144\", alpha=\"0.17\", expect_size=\"37123072\"] \n  2 -> 34 [size =\"37123072\"]\n  3 [size=\"60571648\", alpha=\"0.08\", expect_size=\"30285824\"] \n  3 -> 26 [size =\"30285824\"]\n  3 -> 31 [size =\"30285824\"]\n  4 [size=\"91748352\", alpha=\"0.09\", expect_size=\"45874176\"] \n  4 -> 27 [size =\"45874176\"]\n  4 -> 31 [size =\"45874176\"]\n  4 -> 32 [size =\"45874176\"]\n  4 -> 34 [size =\"45874176\"]\n  5 [size=\"66691072\", alpha=\"0.17\", expect_size=\"33345536\"] \n  5 -> 27 [size =\"33345536\"]\n  5 -> 31 [size =\"33345536\"]\n  5 -> 32 [size =\"33345536\"]\n  5 -> 33 [size =\"33345536\"]\n  5 -> 34 [size =\"33345536\"]\n  5 -> 35 [size =\"33345536\"]\n  6 [size=\"72388608\", alpha=\"0.09\", expect_size=\"36194304\"] \n  6 -> 29 [size =\"36194304\"]\n  6 -> 30 [size =\"36194304\"]\n  6 -> 31 [size =\"36194304\"]\n  6 -> 32 [size =\"36194304\"]\n  6 -> 34 [size =\"36194304\"]\n  6 -> 35 [size =\"36194304\"]\n  7 [size=\"38907904\", alpha=\"0.19\", expect_size=\"19453952\"] \n  7 -> 29 [size =\"19453952\"]\n  7 -> 30 [size =\"19453952\"]\n  7 -> 35 [size =\"19453952\"]\n  8 [size=\"49244160\", alpha=\"0.12\", expect_size=\"24622080\"] \n  8 -> 27 [size =\"24622080\"]\n  8 -> 29 [size =\"24622080\"]\n  8 -> 30 [size =\"24622080\"]\n  8 -> 35 [size =\"24622080\"]\n  9 [size=\"58071040\", alpha=\"0.07\", expect_size=\"29035520\"] \n  9 -> 27 [size =\"29035520\"]\n  9 -> 30 [size =\"29035520\"]\n  10 [size=\"50221056\", alpha=\"0.05\", expect_size=\"25110528\"] \n  10 -> 26 [size =\"25110528\"]\n  10 -> 27 [size =\"25110528\"]\n  10 -> 29 [size =\"25110528\"]\n  10 -> 35 [size =\"25110528\"]\n  11 [size=\"15605760\", alpha=\"0.09\", expect_size=\"7802880\"] \n  11 -> 27 [size =\"7802880\"]\n  11 -> 32 [size =\"7802880\"]\n  11 -> 34 [size =\"7802880\"]\n  11 -> 35 [size =\"7802880\"]\n  12 [size=\"37593088\", alpha=\"0.10\", expect_size=\"18796544\"] \n  12 -> 27 [size =\"18796544\"]\n  12 -> 28 [size =\"18796544\"]\n  12 -> 31 [size =\"18796544\"]\n  13 [size=\"21213184\", alpha=\"0.18\", expect_size=\"10606592\"] \n  13 -> 27 [size =\"10606592\"]\n  13 -> 32 [size =\"10606592\"]\n  14 [size=\"60667904\", alpha=\"0.07\", expect_size=\"30333952\"] \n  14 -> 32 [size =\"30333952\"]\n  14 -> 34 [size =\"30333952\"]\n  15 [size=\"102844416\", alpha=\"0.08\", expect_size=\"51422208\"] \n  15 -> 26 [size =\"51422208\"]\n  15 -> 27 [size =\"51422208\"]\n  15 -> 34 [size =\"51422208\"]\n  16 [size=\"90056704\", alpha=\"0.04\", expect_size=\"45028352\"] \n  16 -> 27 [size =\"45028352\"]\n  16 -> 30 [size =\"45028352\"]\n  16 -> 32 [size =\"45028352\"]\n  17 [size=\"40052736\", alpha=\"0.10\", expect_size=\"20026368\"] \n  17 -> 26 [size =\"20026368\"]\n  18 [size=\"36753408\", alpha=\"0.16\", expect_size=\"18376704\"] \n  18 -> 29 [size =\"18376704\"]\n  18 -> 31 [size =\"18376704\"]\n  19 [size=\"91187200\", alpha=\"0.14\", expect_size=\"45593600\"] \n  19 -> 26 [size =\"45593600\"]\n  19 -> 28 [size =\"45593600\"]\n  19 -> 29 [size =\"45593600\"]\n  19 -> 32 [size =\"45593600\"]\n  19 -> 33 [size =\"45593600\"]\n  20 [size=\"30214144\", alpha=\"0.16\", expect_size=\"15107072\"] \n  20 -> 28 [size =\"15107072\"]\n  20 -> 29 [size =\"15107072\"]\n  20 -> 32 [size =\"15107072\"]\n  21 [size=\"52764672\", alpha=\"0.04\", expect_size=\"26382336\"] \n  21 -> 27 [size =\"26382336\"]\n  21 -> 29 [size =\"26382336\"]\n  21 -> 34 [size =\"26382336\"]\n  22 [size=\"96135168\", alpha=\"0.04\", expect_size=\"48067584\"] \n  22 -> 26 [size =\"48067584\"]\n  22 -> 27 [size =\"48067584\"]\n  22 -> 32 [size =\"48067584\"]\n  23 [size=\"47697920\", alpha=\"0.16\", expect_size=\"23848960\"] \n  23 -> 27 [size =\"23848960\"]\n  23 -> 28 [size =\"23848960\"]\n  23 -> 29 [size =\"23848960\"]\n  23 -> 32 [size =\"23848960\"]\n  24 [size=\"36544512\", alpha=\"0.05\", expect_size=\"18272256\"] \n  24 -> 26 [size =\"18272256\"]\n  24 -> 29 [size =\"18272256\"]\n  24 -> 31 [size =\"18272256\"]\n  24 -> 32 [size =\"18272256\"]\n  24 -> 35 [size =\"18272256\"]\n  25 [size=\"67801088\", alpha=\"0.05\", expect_size=\"33900544\"] \n  25 -> 27 [size =\"33900544\"]\n  25 -> 28 [size =\"33900544\"]\n  25 -> 31 [size =\"33900544\"]\n  25 -> 32 [size =\"33900544\"]\n  25 -> 35 [size =\"33900544\"]\n  26 [size=\"11309056\", alpha=\"0.19\", expect_size=\"5654528\"] \n  27 [size=\"31379456\", alpha=\"0.19\", expect_size=\"15689728\"] \n  28 [size=\"77588480\", alpha=\"0.07\", expect_size=\"38794240\"] \n  29 [size=\"59979776\", alpha=\"0.05\", expect_size=\"29989888\"] \n  30 [size=\"30507008\", alpha=\"0.11\", expect_size=\"15253504\"] \n  31 [size=\"12894208\", alpha=\"0.19\", expect_size=\"6447104\"] \n  32 [size=\"29956096\", alpha=\"0.12\", expect_size=\"14978048\"] \n  33 [size=\"51083264\", alpha=\"0.08\", expect_size=\"25541632\"] \n  34 [size=\"31987712\", alpha=\"0.14\", expect_size=\"15993856\"] \n  35 [size=\"53938176\", alpha=\"0.20\", expect_size=\"26969088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81129472\", alpha=\"0.19\", expect_size=\"40564736\"] \n  1 -> 2 [size =\"40564736\"]\n  1 -> 3 [size =\"40564736\"]\n  2 [size=\"37971968\", alpha=\"0.06\", expect_size=\"18985984\"] \n  2 -> 4 [size =\"18985984\"]\n  3 [size=\"76302336\", alpha=\"0.09\", expect_size=\"38151168\"] \n  3 -> 4 [size =\"38151168\"]\n  4 [size=\"28366848\", alpha=\"0.09\", expect_size=\"14183424\"] \n  4 -> 5 [size =\"14183424\"]\n  5 [size=\"15017984\", alpha=\"0.15\", expect_size=\"7508992\"] \n  5 -> 6 [size =\"7508992\"]\n  6 [size=\"98789376\", alpha=\"0.16\", expect_size=\"49394688\"] \n  6 -> 7 [size =\"49394688\"]\n  6 -> 8 [size =\"49394688\"]\n  7 [size=\"65851392\", alpha=\"0.17\", expect_size=\"32925696\"] \n  7 -> 10 [size =\"32925696\"]\n  8 [size=\"82825216\", alpha=\"0.13\", expect_size=\"41412608\"] \n  8 -> 9 [size =\"41412608\"]\n  9 [size=\"49391616\", alpha=\"0.13\", expect_size=\"24695808\"] \n  10 [size=\"68810752\", alpha=\"0.00\", expect_size=\"34405376\"] \n  10 -> 11 [size =\"34405376\"]\n  10 -> 12 [size =\"34405376\"]\n  11 [size=\"54910976\", alpha=\"0.09\", expect_size=\"27455488\"] \n  12 [size=\"49891328\", alpha=\"0.14\", expect_size=\"24945664\"] \n  12 -> 13 [size =\"24945664\"]\n  13 [size=\"78880768\", alpha=\"0.19\", expect_size=\"39440384\"] \n  13 -> 14 [size =\"39440384\"]\n  13 -> 15 [size =\"39440384\"]\n  14 [size=\"28061696\", alpha=\"0.13\", expect_size=\"14030848\"] \n  14 -> 16 [size =\"14030848\"]\n  15 [size=\"68640768\", alpha=\"0.06\", expect_size=\"34320384\"] \n  15 -> 16 [size =\"34320384\"]\n  16 [size=\"44845056\", alpha=\"0.04\", expect_size=\"22422528\"] \n  16 -> 17 [size =\"22422528\"]\n  17 [size=\"27357184\", alpha=\"0.20\", expect_size=\"13678592\"] \n  17 -> 18 [size =\"13678592\"]\n  17 -> 19 [size =\"13678592\"]\n  18 [size=\"12118016\", alpha=\"0.08\", expect_size=\"6059008\"] \n  18 -> 20 [size =\"6059008\"]\n  18 -> 21 [size =\"6059008\"]\n  19 [size=\"71813120\", alpha=\"0.19\", expect_size=\"35906560\"] \n  19 -> 20 [size =\"35906560\"]\n  19 -> 21 [size =\"35906560\"]\n  20 [size=\"39641088\", alpha=\"0.15\", expect_size=\"19820544\"] \n  20 -> 22 [size =\"19820544\"]\n  21 [size=\"41205760\", alpha=\"0.07\", expect_size=\"20602880\"] \n  21 -> 22 [size =\"20602880\"]\n  22 [size=\"82128896\", alpha=\"0.04\", expect_size=\"41064448\"] \n  22 -> 23 [size =\"41064448\"]\n  23 [size=\"55640064\", alpha=\"0.15\", expect_size=\"27820032\"] \n  23 -> 24 [size =\"27820032\"]\n  23 -> 25 [size =\"27820032\"]\n  24 [size=\"51134464\", alpha=\"0.09\", expect_size=\"25567232\"] \n  24 -> 26 [size =\"25567232\"]\n  24 -> 27 [size =\"25567232\"]\n  25 [size=\"19490816\", alpha=\"0.05\", expect_size=\"9745408\"] \n  25 -> 26 [size =\"9745408\"]\n  25 -> 27 [size =\"9745408\"]\n  26 [size=\"45486080\", alpha=\"0.20\", expect_size=\"22743040\"] \n  26 -> 29 [size =\"22743040\"]\n  27 [size=\"65357824\", alpha=\"0.06\", expect_size=\"32678912\"] \n  27 -> 28 [size =\"32678912\"]\n  28 [size=\"64247808\", alpha=\"0.07\", expect_size=\"32123904\"] \n  28 -> 30 [size =\"32123904\"]\n  29 [size=\"100896768\", alpha=\"0.17\", expect_size=\"50448384\"] \n  30 [size=\"96557056\", alpha=\"0.19\", expect_size=\"48278528\"] \n  30 -> 31 [size =\"48278528\"]\n  31 [size=\"74487808\", alpha=\"0.11\", expect_size=\"37243904\"] \n  31 -> 32 [size =\"37243904\"]\n  32 [size=\"10960896\", alpha=\"0.11\", expect_size=\"5480448\"] \n  32 -> 33 [size =\"5480448\"]\n  33 [size=\"27836416\", alpha=\"0.05\", expect_size=\"13918208\"] \n  33 -> 34 [size =\"13918208\"]\n  34 [size=\"96561152\", alpha=\"0.03\", expect_size=\"48280576\"] \n  34 -> 35 [size =\"48280576\"]\n  35 [size=\"46272512\", alpha=\"0.13\", expect_size=\"23136256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25767253\", alpha=\"0.08\", expect_size=\"7730176\"] \n  2 [size=\"166635520\", alpha=\"0.10\", expect_size=\"49990656\"] \n  2 -> 6 [size =\"49990656\"]\n  3 [size=\"110704640\", alpha=\"0.06\", expect_size=\"33211392\"] \n  3 -> 4 [size =\"33211392\"]\n  3 -> 5 [size =\"33211392\"]\n  4 [size=\"21312853\", alpha=\"0.03\", expect_size=\"6393856\"] \n  4 -> 11 [size =\"6393856\"]\n  4 -> 12 [size =\"6393856\"]\n  5 [size=\"65406293\", alpha=\"0.12\", expect_size=\"19621888\"] \n  5 -> 8 [size =\"19621888\"]\n  5 -> 9 [size =\"19621888\"]\n  5 -> 10 [size =\"19621888\"]\n  6 [size=\"143332693\", alpha=\"0.16\", expect_size=\"42999808\"] \n  6 -> 7 [size =\"42999808\"]\n  6 -> 10 [size =\"42999808\"]\n  6 -> 11 [size =\"42999808\"]\n  7 [size=\"146974720\", alpha=\"0.08\", expect_size=\"44092416\"] \n  7 -> 13 [size =\"44092416\"]\n  7 -> 14 [size =\"44092416\"]\n  8 [size=\"20828160\", alpha=\"0.13\", expect_size=\"6248448\"] \n  8 -> 13 [size =\"6248448\"]\n  8 -> 14 [size =\"6248448\"]\n  9 [size=\"139622400\", alpha=\"0.10\", expect_size=\"41886720\"] \n  9 -> 15 [size =\"41886720\"]\n  10 [size=\"46015147\", alpha=\"0.20\", expect_size=\"13804544\"] \n  11 [size=\"112448853\", alpha=\"0.16\", expect_size=\"33734656\"] \n  12 [size=\"172653227\", alpha=\"0.15\", expect_size=\"51795968\"] \n  12 -> 14 [size =\"51795968\"]\n  12 -> 15 [size =\"51795968\"]\n  13 [size=\"93617493\", alpha=\"0.05\", expect_size=\"28085248\"] \n  13 -> 16 [size =\"28085248\"]\n  13 -> 18 [size =\"28085248\"]\n  14 [size=\"142544213\", alpha=\"0.04\", expect_size=\"42763264\"] \n  14 -> 19 [size =\"42763264\"]\n  14 -> 20 [size =\"42763264\"]\n  15 [size=\"167311360\", alpha=\"0.17\", expect_size=\"50193408\"] \n  15 -> 16 [size =\"50193408\"]\n  15 -> 17 [size =\"50193408\"]\n  15 -> 20 [size =\"50193408\"]\n  15 -> 21 [size =\"50193408\"]\n  16 [size=\"101744640\", alpha=\"0.01\", expect_size=\"30523392\"] \n  16 -> 24 [size =\"30523392\"]\n  17 [size=\"72939520\", alpha=\"0.10\", expect_size=\"21881856\"] \n  17 -> 25 [size =\"21881856\"]\n  18 [size=\"134256640\", alpha=\"0.02\", expect_size=\"40276992\"] \n  19 [size=\"80605867\", alpha=\"0.16\", expect_size=\"24181760\"] \n  19 -> 25 [size =\"24181760\"]\n  20 [size=\"159464107\", alpha=\"0.12\", expect_size=\"47839232\"] \n  20 -> 22 [size =\"47839232\"]\n  20 -> 23 [size =\"47839232\"]\n  21 [size=\"156934827\", alpha=\"0.09\", expect_size=\"47080448\"] \n  21 -> 25 [size =\"47080448\"]\n  22 [size=\"128692907\", alpha=\"0.04\", expect_size=\"38607872\"] \n  23 [size=\"90753707\", alpha=\"0.12\", expect_size=\"27226112\"] \n  23 -> 26 [size =\"27226112\"]\n  24 [size=\"127798613\", alpha=\"0.00\", expect_size=\"38339584\"] \n  24 -> 27 [size =\"38339584\"]\n  25 [size=\"161546240\", alpha=\"0.14\", expect_size=\"48463872\"] \n  26 [size=\"138724693\", alpha=\"0.05\", expect_size=\"41617408\"] \n  26 -> 29 [size =\"41617408\"]\n  26 -> 31 [size =\"41617408\"]\n  27 [size=\"146373973\", alpha=\"0.11\", expect_size=\"43912192\"] \n  27 -> 28 [size =\"43912192\"]\n  27 -> 30 [size =\"43912192\"]\n  28 [size=\"69212160\", alpha=\"0.18\", expect_size=\"20763648\"] \n  28 -> 34 [size =\"20763648\"]\n  28 -> 35 [size =\"20763648\"]\n  29 [size=\"83466240\", alpha=\"0.01\", expect_size=\"25039872\"] \n  29 -> 32 [size =\"25039872\"]\n  30 [size=\"52183040\", alpha=\"0.07\", expect_size=\"15654912\"] \n  30 -> 33 [size =\"15654912\"]\n  30 -> 35 [size =\"15654912\"]\n  31 [size=\"144762880\", alpha=\"0.06\", expect_size=\"43428864\"] \n  31 -> 33 [size =\"43428864\"]\n  32 [size=\"54927360\", alpha=\"0.04\", expect_size=\"16478208\"] \n  33 [size=\"89118720\", alpha=\"0.11\", expect_size=\"26735616\"] \n  34 [size=\"25995947\", alpha=\"0.15\", expect_size=\"7798784\"] \n  35 [size=\"26685440\", alpha=\"0.18\", expect_size=\"8005632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60491093\", alpha=\"0.17\", expect_size=\"18147328\"] \n  1 -> 13 [size =\"18147328\"]\n  1 -> 17 [size =\"18147328\"]\n  1 -> 18 [size =\"18147328\"]\n  1 -> 19 [size =\"18147328\"]\n  1 -> 21 [size =\"18147328\"]\n  1 -> 23 [size =\"18147328\"]\n  1 -> 24 [size =\"18147328\"]\n  2 [size=\"65256107\", alpha=\"0.11\", expect_size=\"19576832\"] \n  2 -> 13 [size =\"19576832\"]\n  2 -> 14 [size =\"19576832\"]\n  2 -> 15 [size =\"19576832\"]\n  2 -> 18 [size =\"19576832\"]\n  2 -> 19 [size =\"19576832\"]\n  2 -> 20 [size =\"19576832\"]\n  2 -> 21 [size =\"19576832\"]\n  2 -> 22 [size =\"19576832\"]\n  3 [size=\"131932160\", alpha=\"0.04\", expect_size=\"39579648\"] \n  3 -> 14 [size =\"39579648\"]\n  3 -> 14 [size =\"39579648\"]\n  3 -> 16 [size =\"39579648\"]\n  3 -> 17 [size =\"39579648\"]\n  3 -> 18 [size =\"39579648\"]\n  3 -> 19 [size =\"39579648\"]\n  3 -> 23 [size =\"39579648\"]\n  4 [size=\"58002773\", alpha=\"0.10\", expect_size=\"17400832\"] \n  4 -> 13 [size =\"17400832\"]\n  4 -> 18 [size =\"17400832\"]\n  4 -> 19 [size =\"17400832\"]\n  4 -> 20 [size =\"17400832\"]\n  4 -> 21 [size =\"17400832\"]\n  4 -> 23 [size =\"17400832\"]\n  4 -> 24 [size =\"17400832\"]\n  5 [size=\"20623360\", alpha=\"0.07\", expect_size=\"6187008\"] \n  5 -> 15 [size =\"6187008\"]\n  5 -> 17 [size =\"6187008\"]\n  5 -> 18 [size =\"6187008\"]\n  5 -> 22 [size =\"6187008\"]\n  5 -> 23 [size =\"6187008\"]\n  6 [size=\"83606187\", alpha=\"0.16\", expect_size=\"25081856\"] \n  6 -> 16 [size =\"25081856\"]\n  6 -> 18 [size =\"25081856\"]\n  6 -> 20 [size =\"25081856\"]\n  6 -> 22 [size =\"25081856\"]\n  7 [size=\"84271787\", alpha=\"0.17\", expect_size=\"25281536\"] \n  7 -> 14 [size =\"25281536\"]\n  7 -> 16 [size =\"25281536\"]\n  7 -> 23 [size =\"25281536\"]\n  7 -> 24 [size =\"25281536\"]\n  8 [size=\"60426240\", alpha=\"0.05\", expect_size=\"18127872\"] \n  8 -> 13 [size =\"18127872\"]\n  8 -> 18 [size =\"18127872\"]\n  8 -> 20 [size =\"18127872\"]\n  8 -> 21 [size =\"18127872\"]\n  8 -> 22 [size =\"18127872\"]\n  9 [size=\"132392960\", alpha=\"0.11\", expect_size=\"39717888\"] \n  9 -> 14 [size =\"39717888\"]\n  9 -> 17 [size =\"39717888\"]\n  9 -> 19 [size =\"39717888\"]\n  9 -> 20 [size =\"39717888\"]\n  9 -> 21 [size =\"39717888\"]\n  9 -> 22 [size =\"39717888\"]\n  9 -> 23 [size =\"39717888\"]\n  10 [size=\"60371627\", alpha=\"0.03\", expect_size=\"18111488\"] \n  10 -> 13 [size =\"18111488\"]\n  10 -> 14 [size =\"18111488\"]\n  10 -> 17 [size =\"18111488\"]\n  10 -> 19 [size =\"18111488\"]\n  10 -> 20 [size =\"18111488\"]\n  10 -> 22 [size =\"18111488\"]\n  10 -> 23 [size =\"18111488\"]\n  10 -> 24 [size =\"18111488\"]\n  11 [size=\"39004160\", alpha=\"0.07\", expect_size=\"11701248\"] \n  11 -> 14 [size =\"11701248\"]\n  11 -> 16 [size =\"11701248\"]\n  11 -> 19 [size =\"11701248\"]\n  11 -> 19 [size =\"11701248\"]\n  11 -> 20 [size =\"11701248\"]\n  11 -> 21 [size =\"11701248\"]\n  11 -> 22 [size =\"11701248\"]\n  11 -> 23 [size =\"11701248\"]\n  11 -> 24 [size =\"11701248\"]\n  12 [size=\"172817067\", alpha=\"0.09\", expect_size=\"51845120\"] \n  12 -> 14 [size =\"51845120\"]\n  12 -> 17 [size =\"51845120\"]\n  12 -> 19 [size =\"51845120\"]\n  12 -> 21 [size =\"51845120\"]\n  12 -> 23 [size =\"51845120\"]\n  12 -> 24 [size =\"51845120\"]\n  13 [size=\"100225707\", alpha=\"0.16\", expect_size=\"30067712\"] \n  13 -> 27 [size =\"30067712\"]\n  13 -> 29 [size =\"30067712\"]\n  13 -> 34 [size =\"30067712\"]\n  13 -> 35 [size =\"30067712\"]\n  14 [size=\"133669547\", alpha=\"0.07\", expect_size=\"40100864\"] \n  14 -> 33 [size =\"40100864\"]\n  14 -> 34 [size =\"40100864\"]\n  15 [size=\"53135360\", alpha=\"0.14\", expect_size=\"15940608\"] \n  15 -> 29 [size =\"15940608\"]\n  15 -> 32 [size =\"15940608\"]\n  15 -> 33 [size =\"15940608\"]\n  15 -> 34 [size =\"15940608\"]\n  15 -> 35 [size =\"15940608\"]\n  16 [size=\"107915947\", alpha=\"0.20\", expect_size=\"32374784\"] \n  16 -> 26 [size =\"32374784\"]\n  16 -> 28 [size =\"32374784\"]\n  16 -> 29 [size =\"32374784\"]\n  16 -> 30 [size =\"32374784\"]\n  16 -> 31 [size =\"32374784\"]\n  16 -> 35 [size =\"32374784\"]\n  17 [size=\"78431573\", alpha=\"0.01\", expect_size=\"23529472\"] \n  17 -> 28 [size =\"23529472\"]\n  17 -> 31 [size =\"23529472\"]\n  17 -> 34 [size =\"23529472\"]\n  17 -> 35 [size =\"23529472\"]\n  18 [size=\"52913493\", alpha=\"0.04\", expect_size=\"15874048\"] \n  18 -> 26 [size =\"15874048\"]\n  18 -> 27 [size =\"15874048\"]\n  18 -> 32 [size =\"15874048\"]\n  18 -> 34 [size =\"15874048\"]\n  19 [size=\"92422827\", alpha=\"0.18\", expect_size=\"27726848\"] \n  19 -> 28 [size =\"27726848\"]\n  19 -> 34 [size =\"27726848\"]\n  20 [size=\"19316053\", alpha=\"0.08\", expect_size=\"5794816\"] \n  20 -> 25 [size =\"5794816\"]\n  20 -> 26 [size =\"5794816\"]\n  20 -> 27 [size =\"5794816\"]\n  20 -> 29 [size =\"5794816\"]\n  20 -> 31 [size =\"5794816\"]\n  20 -> 34 [size =\"5794816\"]\n  20 -> 35 [size =\"5794816\"]\n  21 [size=\"40369493\", alpha=\"0.03\", expect_size=\"12110848\"] \n  21 -> 26 [size =\"12110848\"]\n  21 -> 34 [size =\"12110848\"]\n  22 [size=\"95191040\", alpha=\"0.05\", expect_size=\"28557312\"] \n  22 -> 26 [size =\"28557312\"]\n  22 -> 34 [size =\"28557312\"]\n  23 [size=\"162205013\", alpha=\"0.01\", expect_size=\"48661504\"] \n  23 -> 27 [size =\"48661504\"]\n  23 -> 33 [size =\"48661504\"]\n  23 -> 35 [size =\"48661504\"]\n  24 [size=\"128778240\", alpha=\"0.03\", expect_size=\"38633472\"] \n  24 -> 26 [size =\"38633472\"]\n  24 -> 28 [size =\"38633472\"]\n  24 -> 31 [size =\"38633472\"]\n  24 -> 33 [size =\"38633472\"]\n  25 [size=\"24415573\", alpha=\"0.04\", expect_size=\"7324672\"] \n  26 [size=\"132157440\", alpha=\"0.14\", expect_size=\"39647232\"] \n  27 [size=\"131833173\", alpha=\"0.13\", expect_size=\"39549952\"] \n  28 [size=\"140677120\", alpha=\"0.17\", expect_size=\"42203136\"] \n  29 [size=\"18510507\", alpha=\"0.16\", expect_size=\"5553152\"] \n  30 [size=\"157979307\", alpha=\"0.20\", expect_size=\"47393792\"] \n  31 [size=\"62139733\", alpha=\"0.07\", expect_size=\"18641920\"] \n  32 [size=\"88586240\", alpha=\"0.14\", expect_size=\"26575872\"] \n  33 [size=\"127812267\", alpha=\"0.11\", expect_size=\"38343680\"] \n  34 [size=\"136994133\", alpha=\"0.03\", expect_size=\"41098240\"] \n  35 [size=\"156658347\", alpha=\"0.19\", expect_size=\"46997504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76793856\", alpha=\"0.08\", expect_size=\"38396928\"] \n  1 -> 2 [size =\"38396928\"]\n  2 [size=\"45961216\", alpha=\"0.06\", expect_size=\"22980608\"] \n  2 -> 3 [size =\"22980608\"]\n  3 [size=\"82487296\", alpha=\"0.07\", expect_size=\"41243648\"] \n  3 -> 4 [size =\"41243648\"]\n  4 [size=\"50442240\", alpha=\"0.16\", expect_size=\"25221120\"] \n  4 -> 5 [size =\"25221120\"]\n  5 [size=\"71299072\", alpha=\"0.02\", expect_size=\"35649536\"] \n  5 -> 6 [size =\"35649536\"]\n  6 [size=\"85227520\", alpha=\"0.03\", expect_size=\"42613760\"] \n  6 -> 7 [size =\"42613760\"]\n  7 [size=\"83046400\", alpha=\"0.18\", expect_size=\"41523200\"] \n  7 -> 8 [size =\"41523200\"]\n  8 [size=\"49168384\", alpha=\"0.01\", expect_size=\"24584192\"] \n  8 -> 9 [size =\"24584192\"]\n  9 [size=\"83775488\", alpha=\"0.12\", expect_size=\"41887744\"] \n  9 -> 10 [size =\"41887744\"]\n  10 [size=\"76924928\", alpha=\"0.12\", expect_size=\"38462464\"] \n  10 -> 11 [size =\"38462464\"]\n  11 [size=\"15134720\", alpha=\"0.08\", expect_size=\"7567360\"] \n  11 -> 12 [size =\"7567360\"]\n  12 [size=\"50622464\", alpha=\"0.07\", expect_size=\"25311232\"] \n  12 -> 13 [size =\"25311232\"]\n  13 [size=\"76963840\", alpha=\"0.17\", expect_size=\"38481920\"] \n  13 -> 14 [size =\"38481920\"]\n  14 [size=\"15316992\", alpha=\"0.16\", expect_size=\"7658496\"] \n  14 -> 15 [size =\"7658496\"]\n  15 [size=\"90341376\", alpha=\"0.14\", expect_size=\"45170688\"] \n  15 -> 16 [size =\"45170688\"]\n  16 [size=\"100982784\", alpha=\"0.11\", expect_size=\"50491392\"] \n  16 -> 17 [size =\"50491392\"]\n  17 [size=\"21639168\", alpha=\"0.20\", expect_size=\"10819584\"] \n  17 -> 18 [size =\"10819584\"]\n  18 [size=\"12929024\", alpha=\"0.02\", expect_size=\"6464512\"] \n  18 -> 19 [size =\"6464512\"]\n  19 [size=\"17547264\", alpha=\"0.18\", expect_size=\"8773632\"] \n  19 -> 20 [size =\"8773632\"]\n  20 [size=\"72042496\", alpha=\"0.17\", expect_size=\"36021248\"] \n  20 -> 21 [size =\"36021248\"]\n  21 [size=\"32428032\", alpha=\"0.10\", expect_size=\"16214016\"] \n  21 -> 22 [size =\"16214016\"]\n  22 [size=\"68405248\", alpha=\"0.10\", expect_size=\"34202624\"] \n  22 -> 23 [size =\"34202624\"]\n  23 [size=\"100362240\", alpha=\"0.05\", expect_size=\"50181120\"] \n  23 -> 24 [size =\"50181120\"]\n  24 [size=\"85334016\", alpha=\"0.09\", expect_size=\"42667008\"] \n  24 -> 25 [size =\"42667008\"]\n  25 [size=\"68720640\", alpha=\"0.06\", expect_size=\"34360320\"] \n  25 -> 26 [size =\"34360320\"]\n  26 [size=\"40011776\", alpha=\"0.19\", expect_size=\"20005888\"] \n  26 -> 27 [size =\"20005888\"]\n  27 [size=\"90863616\", alpha=\"0.07\", expect_size=\"45431808\"] \n  27 -> 28 [size =\"45431808\"]\n  28 [size=\"88838144\", alpha=\"0.03\", expect_size=\"44419072\"] \n  28 -> 29 [size =\"44419072\"]\n  29 [size=\"99080192\", alpha=\"0.15\", expect_size=\"49540096\"] \n  29 -> 30 [size =\"49540096\"]\n  30 [size=\"91965440\", alpha=\"0.01\", expect_size=\"45982720\"] \n  30 -> 31 [size =\"45982720\"]\n  31 [size=\"78348288\", alpha=\"0.07\", expect_size=\"39174144\"] \n  31 -> 32 [size =\"39174144\"]\n  32 [size=\"30167040\", alpha=\"0.03\", expect_size=\"15083520\"] \n  32 -> 33 [size =\"15083520\"]\n  33 [size=\"77268992\", alpha=\"0.12\", expect_size=\"38634496\"] \n  33 -> 34 [size =\"38634496\"]\n  34 [size=\"102914048\", alpha=\"0.03\", expect_size=\"51457024\"] \n  34 -> 35 [size =\"51457024\"]\n  35 [size=\"52688896\", alpha=\"0.10\", expect_size=\"26344448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26084693\", alpha=\"0.05\", expect_size=\"7825408\"] \n  1 -> 16 [size =\"7825408\"]\n  1 -> 17 [size =\"7825408\"]\n  1 -> 18 [size =\"7825408\"]\n  1 -> 21 [size =\"7825408\"]\n  1 -> 22 [size =\"7825408\"]\n  2 [size=\"135273813\", alpha=\"0.15\", expect_size=\"40582144\"] \n  2 -> 18 [size =\"40582144\"]\n  2 -> 21 [size =\"40582144\"]\n  2 -> 22 [size =\"40582144\"]\n  3 [size=\"28142933\", alpha=\"0.17\", expect_size=\"8442880\"] \n  3 -> 14 [size =\"8442880\"]\n  3 -> 16 [size =\"8442880\"]\n  3 -> 22 [size =\"8442880\"]\n  4 [size=\"74861227\", alpha=\"0.19\", expect_size=\"22458368\"] \n  4 -> 14 [size =\"22458368\"]\n  4 -> 16 [size =\"22458368\"]\n  4 -> 17 [size =\"22458368\"]\n  4 -> 21 [size =\"22458368\"]\n  5 [size=\"74280960\", alpha=\"0.08\", expect_size=\"22284288\"] \n  5 -> 14 [size =\"22284288\"]\n  5 -> 18 [size =\"22284288\"]\n  5 -> 21 [size =\"22284288\"]\n  5 -> 22 [size =\"22284288\"]\n  5 -> 23 [size =\"22284288\"]\n  6 [size=\"48455680\", alpha=\"0.12\", expect_size=\"14536704\"] \n  6 -> 14 [size =\"14536704\"]\n  6 -> 17 [size =\"14536704\"]\n  6 -> 19 [size =\"14536704\"]\n  7 [size=\"119166293\", alpha=\"0.17\", expect_size=\"35749888\"] \n  7 -> 14 [size =\"35749888\"]\n  7 -> 17 [size =\"35749888\"]\n  7 -> 18 [size =\"35749888\"]\n  7 -> 21 [size =\"35749888\"]\n  8 [size=\"48612693\", alpha=\"0.12\", expect_size=\"14583808\"] \n  8 -> 14 [size =\"14583808\"]\n  8 -> 17 [size =\"14583808\"]\n  8 -> 20 [size =\"14583808\"]\n  8 -> 22 [size =\"14583808\"]\n  9 [size=\"20787200\", alpha=\"0.16\", expect_size=\"6236160\"] \n  9 -> 14 [size =\"6236160\"]\n  9 -> 17 [size =\"6236160\"]\n  9 -> 19 [size =\"6236160\"]\n  9 -> 21 [size =\"6236160\"]\n  9 -> 22 [size =\"6236160\"]\n  10 [size=\"56415573\", alpha=\"0.01\", expect_size=\"16924672\"] \n  10 -> 14 [size =\"16924672\"]\n  10 -> 17 [size =\"16924672\"]\n  10 -> 18 [size =\"16924672\"]\n  10 -> 19 [size =\"16924672\"]\n  10 -> 21 [size =\"16924672\"]\n  11 [size=\"147251200\", alpha=\"0.00\", expect_size=\"44175360\"] \n  11 -> 14 [size =\"44175360\"]\n  11 -> 17 [size =\"44175360\"]\n  12 [size=\"27313493\", alpha=\"0.05\", expect_size=\"8194048\"] \n  12 -> 15 [size =\"8194048\"]\n  12 -> 17 [size =\"8194048\"]\n  13 [size=\"147575467\", alpha=\"0.13\", expect_size=\"44272640\"] \n  13 -> 16 [size =\"44272640\"]\n  13 -> 18 [size =\"44272640\"]\n  13 -> 22 [size =\"44272640\"]\n  14 [size=\"126392320\", alpha=\"0.19\", expect_size=\"37917696\"] \n  14 -> 24 [size =\"37917696\"]\n  14 -> 25 [size =\"37917696\"]\n  14 -> 26 [size =\"37917696\"]\n  14 -> 27 [size =\"37917696\"]\n  14 -> 31 [size =\"37917696\"]\n  14 -> 32 [size =\"37917696\"]\n  15 [size=\"120186880\", alpha=\"0.00\", expect_size=\"36056064\"] \n  15 -> 25 [size =\"36056064\"]\n  15 -> 32 [size =\"36056064\"]\n  15 -> 34 [size =\"36056064\"]\n  15 -> 35 [size =\"36056064\"]\n  16 [size=\"27818667\", alpha=\"0.20\", expect_size=\"8345600\"] \n  16 -> 31 [size =\"8345600\"]\n  16 -> 32 [size =\"8345600\"]\n  16 -> 33 [size =\"8345600\"]\n  16 -> 34 [size =\"8345600\"]\n  17 [size=\"123886933\", alpha=\"0.17\", expect_size=\"37166080\"] \n  17 -> 24 [size =\"37166080\"]\n  17 -> 28 [size =\"37166080\"]\n  17 -> 30 [size =\"37166080\"]\n  17 -> 31 [size =\"37166080\"]\n  17 -> 32 [size =\"37166080\"]\n  17 -> 33 [size =\"37166080\"]\n  17 -> 34 [size =\"37166080\"]\n  17 -> 35 [size =\"37166080\"]\n  18 [size=\"97559893\", alpha=\"0.09\", expect_size=\"29267968\"] \n  18 -> 24 [size =\"29267968\"]\n  18 -> 28 [size =\"29267968\"]\n  18 -> 32 [size =\"29267968\"]\n  18 -> 33 [size =\"29267968\"]\n  18 -> 35 [size =\"29267968\"]\n  19 [size=\"35024213\", alpha=\"0.10\", expect_size=\"10507264\"] \n  19 -> 25 [size =\"10507264\"]\n  19 -> 26 [size =\"10507264\"]\n  19 -> 27 [size =\"10507264\"]\n  19 -> 28 [size =\"10507264\"]\n  19 -> 31 [size =\"10507264\"]\n  19 -> 32 [size =\"10507264\"]\n  19 -> 34 [size =\"10507264\"]\n  19 -> 35 [size =\"10507264\"]\n  20 [size=\"161594027\", alpha=\"0.06\", expect_size=\"48478208\"] \n  20 -> 25 [size =\"48478208\"]\n  20 -> 27 [size =\"48478208\"]\n  20 -> 28 [size =\"48478208\"]\n  20 -> 30 [size =\"48478208\"]\n  20 -> 32 [size =\"48478208\"]\n  20 -> 34 [size =\"48478208\"]\n  20 -> 35 [size =\"48478208\"]\n  21 [size=\"170697387\", alpha=\"0.03\", expect_size=\"51209216\"] \n  21 -> 25 [size =\"51209216\"]\n  21 -> 28 [size =\"51209216\"]\n  21 -> 28 [size =\"51209216\"]\n  21 -> 30 [size =\"51209216\"]\n  21 -> 31 [size =\"51209216\"]\n  21 -> 33 [size =\"51209216\"]\n  21 -> 35 [size =\"51209216\"]\n  22 [size=\"172441600\", alpha=\"0.16\", expect_size=\"51732480\"] \n  22 -> 25 [size =\"51732480\"]\n  22 -> 26 [size =\"51732480\"]\n  22 -> 34 [size =\"51732480\"]\n  23 [size=\"57845760\", alpha=\"0.09\", expect_size=\"17353728\"] \n  23 -> 24 [size =\"17353728\"]\n  23 -> 25 [size =\"17353728\"]\n  23 -> 26 [size =\"17353728\"]\n  23 -> 27 [size =\"17353728\"]\n  23 -> 29 [size =\"17353728\"]\n  23 -> 35 [size =\"17353728\"]\n  24 [size=\"163799040\", alpha=\"0.10\", expect_size=\"49139712\"] \n  25 [size=\"153251840\", alpha=\"0.18\", expect_size=\"45975552\"] \n  26 [size=\"155054080\", alpha=\"0.11\", expect_size=\"46516224\"] \n  27 [size=\"151234560\", alpha=\"0.16\", expect_size=\"45370368\"] \n  28 [size=\"127590400\", alpha=\"0.05\", expect_size=\"38277120\"] \n  29 [size=\"39328427\", alpha=\"0.14\", expect_size=\"11798528\"] \n  30 [size=\"114493440\", alpha=\"0.09\", expect_size=\"34348032\"] \n  31 [size=\"160358400\", alpha=\"0.20\", expect_size=\"48107520\"] \n  32 [size=\"28245333\", alpha=\"0.12\", expect_size=\"8473600\"] \n  33 [size=\"150531413\", alpha=\"0.01\", expect_size=\"45159424\"] \n  34 [size=\"66020693\", alpha=\"0.03\", expect_size=\"19806208\"] \n  35 [size=\"146677760\", alpha=\"0.19\", expect_size=\"44003328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133973333\", alpha=\"0.14\", expect_size=\"40192000\"] \n  2 [size=\"44468907\", alpha=\"0.19\", expect_size=\"13340672\"] \n  3 [size=\"62354773\", alpha=\"0.19\", expect_size=\"18706432\"] \n  3 -> 5 [size =\"18706432\"]\n  3 -> 6 [size =\"18706432\"]\n  3 -> 7 [size =\"18706432\"]\n  4 [size=\"110165333\", alpha=\"0.15\", expect_size=\"33049600\"] \n  4 -> 5 [size =\"33049600\"]\n  4 -> 7 [size =\"33049600\"]\n  5 [size=\"137328640\", alpha=\"0.12\", expect_size=\"41198592\"] \n  5 -> 9 [size =\"41198592\"]\n  5 -> 11 [size =\"41198592\"]\n  6 [size=\"43496107\", alpha=\"0.11\", expect_size=\"13048832\"] \n  6 -> 10 [size =\"13048832\"]\n  6 -> 12 [size =\"13048832\"]\n  7 [size=\"83821227\", alpha=\"0.09\", expect_size=\"25146368\"] \n  7 -> 8 [size =\"25146368\"]\n  7 -> 11 [size =\"25146368\"]\n  8 [size=\"94716587\", alpha=\"0.10\", expect_size=\"28414976\"] \n  8 -> 16 [size =\"28414976\"]\n  9 [size=\"45124267\", alpha=\"0.17\", expect_size=\"13537280\"] \n  9 -> 13 [size =\"13537280\"]\n  9 -> 14 [size =\"13537280\"]\n  9 -> 15 [size =\"13537280\"]\n  10 [size=\"73649493\", alpha=\"0.04\", expect_size=\"22094848\"] \n  10 -> 14 [size =\"22094848\"]\n  10 -> 15 [size =\"22094848\"]\n  11 [size=\"133140480\", alpha=\"0.02\", expect_size=\"39942144\"] \n  11 -> 13 [size =\"39942144\"]\n  11 -> 15 [size =\"39942144\"]\n  12 [size=\"84732587\", alpha=\"0.10\", expect_size=\"25419776\"] \n  13 [size=\"76465493\", alpha=\"0.09\", expect_size=\"22939648\"] \n  13 -> 18 [size =\"22939648\"]\n  13 -> 19 [size =\"22939648\"]\n  14 [size=\"67915093\", alpha=\"0.15\", expect_size=\"20374528\"] \n  15 [size=\"30272853\", alpha=\"0.10\", expect_size=\"9081856\"] \n  15 -> 17 [size =\"9081856\"]\n  15 -> 19 [size =\"9081856\"]\n  15 -> 20 [size =\"9081856\"]\n  16 [size=\"121654613\", alpha=\"0.01\", expect_size=\"36496384\"] \n  16 -> 17 [size =\"36496384\"]\n  16 -> 20 [size =\"36496384\"]\n  17 [size=\"47612587\", alpha=\"0.06\", expect_size=\"14283776\"] \n  18 [size=\"116992000\", alpha=\"0.01\", expect_size=\"35097600\"] \n  18 -> 22 [size =\"35097600\"]\n  18 -> 23 [size =\"35097600\"]\n  19 [size=\"41830400\", alpha=\"0.19\", expect_size=\"12549120\"] \n  19 -> 23 [size =\"12549120\"]\n  19 -> 24 [size =\"12549120\"]\n  20 [size=\"17527467\", alpha=\"0.17\", expect_size=\"5258240\"] \n  20 -> 21 [size =\"5258240\"]\n  20 -> 24 [size =\"5258240\"]\n  21 [size=\"48728747\", alpha=\"0.10\", expect_size=\"14618624\"] \n  21 -> 26 [size =\"14618624\"]\n  21 -> 27 [size =\"14618624\"]\n  22 [size=\"68017493\", alpha=\"0.06\", expect_size=\"20405248\"] \n  22 -> 25 [size =\"20405248\"]\n  22 -> 29 [size =\"20405248\"]\n  23 [size=\"144974507\", alpha=\"0.08\", expect_size=\"43492352\"] \n  23 -> 29 [size =\"43492352\"]\n  23 -> 30 [size =\"43492352\"]\n  24 [size=\"56207360\", alpha=\"0.02\", expect_size=\"16862208\"] \n  24 -> 26 [size =\"16862208\"]\n  24 -> 28 [size =\"16862208\"]\n  24 -> 30 [size =\"16862208\"]\n  25 [size=\"170905600\", alpha=\"0.11\", expect_size=\"51271680\"] \n  25 -> 34 [size =\"51271680\"]\n  26 [size=\"94740480\", alpha=\"0.03\", expect_size=\"28422144\"] \n  26 -> 34 [size =\"28422144\"]\n  27 [size=\"106055680\", alpha=\"0.04\", expect_size=\"31816704\"] \n  27 -> 31 [size =\"31816704\"]\n  27 -> 34 [size =\"31816704\"]\n  28 [size=\"154224640\", alpha=\"0.14\", expect_size=\"46267392\"] \n  28 -> 32 [size =\"46267392\"]\n  28 -> 33 [size =\"46267392\"]\n  29 [size=\"159583573\", alpha=\"0.08\", expect_size=\"47875072\"] \n  30 [size=\"153180160\", alpha=\"0.10\", expect_size=\"45954048\"] \n  31 [size=\"130921813\", alpha=\"0.05\", expect_size=\"39276544\"] \n  32 [size=\"52015787\", alpha=\"0.10\", expect_size=\"15604736\"] \n  33 [size=\"100741120\", alpha=\"0.02\", expect_size=\"30222336\"] \n  33 -> 35 [size =\"30222336\"]\n  34 [size=\"164696747\", alpha=\"0.00\", expect_size=\"49409024\"] \n  34 -> 35 [size =\"49409024\"]\n  35 [size=\"21995520\", alpha=\"0.00\", expect_size=\"6598656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69939200\", alpha=\"0.12\", expect_size=\"20981760\"] \n  1 -> 14 [size =\"20981760\"]\n  1 -> 18 [size =\"20981760\"]\n  1 -> 20 [size =\"20981760\"]\n  1 -> 22 [size =\"20981760\"]\n  2 [size=\"47499947\", alpha=\"0.20\", expect_size=\"14249984\"] \n  2 -> 16 [size =\"14249984\"]\n  2 -> 18 [size =\"14249984\"]\n  2 -> 19 [size =\"14249984\"]\n  2 -> 20 [size =\"14249984\"]\n  2 -> 22 [size =\"14249984\"]\n  2 -> 25 [size =\"14249984\"]\n  2 -> 27 [size =\"14249984\"]\n  3 [size=\"80974507\", alpha=\"0.10\", expect_size=\"24292352\"] \n  3 -> 18 [size =\"24292352\"]\n  3 -> 18 [size =\"24292352\"]\n  3 -> 20 [size =\"24292352\"]\n  3 -> 21 [size =\"24292352\"]\n  3 -> 22 [size =\"24292352\"]\n  3 -> 23 [size =\"24292352\"]\n  3 -> 26 [size =\"24292352\"]\n  4 [size=\"90842453\", alpha=\"0.18\", expect_size=\"27252736\"] \n  4 -> 15 [size =\"27252736\"]\n  4 -> 18 [size =\"27252736\"]\n  4 -> 21 [size =\"27252736\"]\n  4 -> 22 [size =\"27252736\"]\n  4 -> 23 [size =\"27252736\"]\n  4 -> 23 [size =\"27252736\"]\n  4 -> 25 [size =\"27252736\"]\n  4 -> 26 [size =\"27252736\"]\n  4 -> 27 [size =\"27252736\"]\n  5 [size=\"48148480\", alpha=\"0.09\", expect_size=\"14444544\"] \n  5 -> 17 [size =\"14444544\"]\n  5 -> 18 [size =\"14444544\"]\n  5 -> 22 [size =\"14444544\"]\n  5 -> 23 [size =\"14444544\"]\n  5 -> 23 [size =\"14444544\"]\n  5 -> 25 [size =\"14444544\"]\n  5 -> 26 [size =\"14444544\"]\n  6 [size=\"90460160\", alpha=\"0.08\", expect_size=\"27138048\"] \n  6 -> 16 [size =\"27138048\"]\n  6 -> 18 [size =\"27138048\"]\n  6 -> 20 [size =\"27138048\"]\n  6 -> 22 [size =\"27138048\"]\n  6 -> 23 [size =\"27138048\"]\n  6 -> 24 [size =\"27138048\"]\n  6 -> 25 [size =\"27138048\"]\n  7 [size=\"152135680\", alpha=\"0.16\", expect_size=\"45640704\"] \n  7 -> 22 [size =\"45640704\"]\n  7 -> 24 [size =\"45640704\"]\n  8 [size=\"112981333\", alpha=\"0.09\", expect_size=\"33894400\"] \n  8 -> 16 [size =\"33894400\"]\n  8 -> 18 [size =\"33894400\"]\n  8 -> 19 [size =\"33894400\"]\n  8 -> 22 [size =\"33894400\"]\n  8 -> 27 [size =\"33894400\"]\n  9 [size=\"141984427\", alpha=\"0.01\", expect_size=\"42595328\"] \n  9 -> 14 [size =\"42595328\"]\n  9 -> 16 [size =\"42595328\"]\n  9 -> 18 [size =\"42595328\"]\n  9 -> 23 [size =\"42595328\"]\n  9 -> 27 [size =\"42595328\"]\n  10 [size=\"127167147\", alpha=\"0.19\", expect_size=\"38150144\"] \n  10 -> 14 [size =\"38150144\"]\n  10 -> 16 [size =\"38150144\"]\n  10 -> 17 [size =\"38150144\"]\n  10 -> 19 [size =\"38150144\"]\n  10 -> 20 [size =\"38150144\"]\n  10 -> 24 [size =\"38150144\"]\n  10 -> 25 [size =\"38150144\"]\n  10 -> 27 [size =\"38150144\"]\n  11 [size=\"93286400\", alpha=\"0.03\", expect_size=\"27985920\"] \n  11 -> 14 [size =\"27985920\"]\n  11 -> 15 [size =\"27985920\"]\n  11 -> 16 [size =\"27985920\"]\n  11 -> 17 [size =\"27985920\"]\n  11 -> 18 [size =\"27985920\"]\n  11 -> 20 [size =\"27985920\"]\n  11 -> 23 [size =\"27985920\"]\n  11 -> 24 [size =\"27985920\"]\n  11 -> 25 [size =\"27985920\"]\n  11 -> 26 [size =\"27985920\"]\n  12 [size=\"32986453\", alpha=\"0.02\", expect_size=\"9895936\"] \n  12 -> 14 [size =\"9895936\"]\n  12 -> 16 [size =\"9895936\"]\n  12 -> 20 [size =\"9895936\"]\n  12 -> 23 [size =\"9895936\"]\n  12 -> 24 [size =\"9895936\"]\n  12 -> 27 [size =\"9895936\"]\n  13 [size=\"30109013\", alpha=\"0.00\", expect_size=\"9032704\"] \n  13 -> 14 [size =\"9032704\"]\n  13 -> 18 [size =\"9032704\"]\n  13 -> 20 [size =\"9032704\"]\n  13 -> 26 [size =\"9032704\"]\n  14 [size=\"109892267\", alpha=\"0.10\", expect_size=\"32967680\"] \n  14 -> 32 [size =\"32967680\"]\n  14 -> 32 [size =\"32967680\"]\n  14 -> 33 [size =\"32967680\"]\n  14 -> 34 [size =\"32967680\"]\n  15 [size=\"97378987\", alpha=\"0.06\", expect_size=\"29213696\"] \n  15 -> 28 [size =\"29213696\"]\n  15 -> 31 [size =\"29213696\"]\n  15 -> 32 [size =\"29213696\"]\n  15 -> 33 [size =\"29213696\"]\n  15 -> 34 [size =\"29213696\"]\n  16 [size=\"170093227\", alpha=\"0.18\", expect_size=\"51027968\"] \n  16 -> 28 [size =\"51027968\"]\n  16 -> 29 [size =\"51027968\"]\n  16 -> 31 [size =\"51027968\"]\n  16 -> 32 [size =\"51027968\"]\n  16 -> 33 [size =\"51027968\"]\n  16 -> 34 [size =\"51027968\"]\n  16 -> 35 [size =\"51027968\"]\n  17 [size=\"74403840\", alpha=\"0.11\", expect_size=\"22321152\"] \n  17 -> 29 [size =\"22321152\"]\n  17 -> 29 [size =\"22321152\"]\n  17 -> 30 [size =\"22321152\"]\n  17 -> 32 [size =\"22321152\"]\n  17 -> 33 [size =\"22321152\"]\n  17 -> 34 [size =\"22321152\"]\n  17 -> 35 [size =\"22321152\"]\n  18 [size=\"44096853\", alpha=\"0.02\", expect_size=\"13229056\"] \n  18 -> 30 [size =\"13229056\"]\n  18 -> 31 [size =\"13229056\"]\n  18 -> 32 [size =\"13229056\"]\n  18 -> 33 [size =\"13229056\"]\n  18 -> 34 [size =\"13229056\"]\n  19 [size=\"111786667\", alpha=\"0.10\", expect_size=\"33536000\"] \n  19 -> 28 [size =\"33536000\"]\n  19 -> 31 [size =\"33536000\"]\n  19 -> 33 [size =\"33536000\"]\n  19 -> 34 [size =\"33536000\"]\n  19 -> 34 [size =\"33536000\"]\n  19 -> 35 [size =\"33536000\"]\n  20 [size=\"119265280\", alpha=\"0.12\", expect_size=\"35779584\"] \n  20 -> 28 [size =\"35779584\"]\n  20 -> 31 [size =\"35779584\"]\n  20 -> 33 [size =\"35779584\"]\n  20 -> 34 [size =\"35779584\"]\n  20 -> 35 [size =\"35779584\"]\n  20 -> 35 [size =\"35779584\"]\n  21 [size=\"111622827\", alpha=\"0.01\", expect_size=\"33486848\"] \n  21 -> 29 [size =\"33486848\"]\n  21 -> 30 [size =\"33486848\"]\n  21 -> 31 [size =\"33486848\"]\n  21 -> 32 [size =\"33486848\"]\n  21 -> 33 [size =\"33486848\"]\n  21 -> 34 [size =\"33486848\"]\n  21 -> 35 [size =\"33486848\"]\n  22 [size=\"133488640\", alpha=\"0.13\", expect_size=\"40046592\"] \n  22 -> 31 [size =\"40046592\"]\n  22 -> 32 [size =\"40046592\"]\n  22 -> 33 [size =\"40046592\"]\n  22 -> 34 [size =\"40046592\"]\n  22 -> 35 [size =\"40046592\"]\n  23 [size=\"145687893\", alpha=\"0.14\", expect_size=\"43706368\"] \n  23 -> 28 [size =\"43706368\"]\n  23 -> 31 [size =\"43706368\"]\n  23 -> 32 [size =\"43706368\"]\n  23 -> 33 [size =\"43706368\"]\n  23 -> 34 [size =\"43706368\"]\n  24 [size=\"148138667\", alpha=\"0.04\", expect_size=\"44441600\"] \n  24 -> 34 [size =\"44441600\"]\n  24 -> 35 [size =\"44441600\"]\n  25 [size=\"66304000\", alpha=\"0.18\", expect_size=\"19891200\"] \n  25 -> 28 [size =\"19891200\"]\n  25 -> 29 [size =\"19891200\"]\n  25 -> 31 [size =\"19891200\"]\n  26 [size=\"110684160\", alpha=\"0.02\", expect_size=\"33205248\"] \n  26 -> 31 [size =\"33205248\"]\n  26 -> 32 [size =\"33205248\"]\n  26 -> 33 [size =\"33205248\"]\n  26 -> 34 [size =\"33205248\"]\n  26 -> 35 [size =\"33205248\"]\n  27 [size=\"93528747\", alpha=\"0.02\", expect_size=\"28058624\"] \n  27 -> 30 [size =\"28058624\"]\n  27 -> 32 [size =\"28058624\"]\n  27 -> 33 [size =\"28058624\"]\n  28 [size=\"26361173\", alpha=\"0.15\", expect_size=\"7908352\"] \n  29 [size=\"38246400\", alpha=\"0.03\", expect_size=\"11473920\"] \n  30 [size=\"113762987\", alpha=\"0.05\", expect_size=\"34128896\"] \n  31 [size=\"49537707\", alpha=\"0.17\", expect_size=\"14861312\"] \n  32 [size=\"55326720\", alpha=\"0.11\", expect_size=\"16598016\"] \n  33 [size=\"161146880\", alpha=\"0.07\", expect_size=\"48344064\"] \n  34 [size=\"115930453\", alpha=\"0.14\", expect_size=\"34779136\"] \n  35 [size=\"150330027\", alpha=\"0.12\", expect_size=\"45099008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109465600\", alpha=\"0.11\", expect_size=\"32839680\"] \n  1 -> 2 [size =\"32839680\"]\n  1 -> 3 [size =\"32839680\"]\n  2 [size=\"168137387\", alpha=\"0.04\", expect_size=\"50441216\"] \n  2 -> 4 [size =\"50441216\"]\n  3 [size=\"30952107\", alpha=\"0.19\", expect_size=\"9285632\"] \n  4 [size=\"97512107\", alpha=\"0.07\", expect_size=\"29253632\"] \n  4 -> 5 [size =\"29253632\"]\n  5 [size=\"171956907\", alpha=\"0.08\", expect_size=\"51587072\"] \n  5 -> 6 [size =\"51587072\"]\n  5 -> 7 [size =\"51587072\"]\n  6 [size=\"158218240\", alpha=\"0.10\", expect_size=\"47465472\"] \n  6 -> 8 [size =\"47465472\"]\n  7 [size=\"91067733\", alpha=\"0.16\", expect_size=\"27320320\"] \n  8 [size=\"54814720\", alpha=\"0.15\", expect_size=\"16444416\"] \n  8 -> 9 [size =\"16444416\"]\n  8 -> 10 [size =\"16444416\"]\n  9 [size=\"151599787\", alpha=\"0.05\", expect_size=\"45479936\"] \n  9 -> 11 [size =\"45479936\"]\n  10 [size=\"128385707\", alpha=\"0.15\", expect_size=\"38515712\"] \n  10 -> 11 [size =\"38515712\"]\n  10 -> 12 [size =\"38515712\"]\n  11 [size=\"123299840\", alpha=\"0.06\", expect_size=\"36989952\"] \n  12 [size=\"55797760\", alpha=\"0.14\", expect_size=\"16739328\"] \n  12 -> 13 [size =\"16739328\"]\n  13 [size=\"85483520\", alpha=\"0.07\", expect_size=\"25645056\"] \n  13 -> 14 [size =\"25645056\"]\n  13 -> 15 [size =\"25645056\"]\n  14 [size=\"75673600\", alpha=\"0.15\", expect_size=\"22702080\"] \n  14 -> 16 [size =\"22702080\"]\n  15 [size=\"127559680\", alpha=\"0.15\", expect_size=\"38267904\"] \n  16 [size=\"31767893\", alpha=\"0.05\", expect_size=\"9530368\"] \n  16 -> 17 [size =\"9530368\"]\n  17 [size=\"108366507\", alpha=\"0.04\", expect_size=\"32509952\"] \n  17 -> 18 [size =\"32509952\"]\n  17 -> 19 [size =\"32509952\"]\n  18 [size=\"80346453\", alpha=\"0.14\", expect_size=\"24103936\"] \n  18 -> 21 [size =\"24103936\"]\n  19 [size=\"37857280\", alpha=\"0.18\", expect_size=\"11357184\"] \n  19 -> 20 [size =\"11357184\"]\n  20 [size=\"73335467\", alpha=\"0.20\", expect_size=\"22000640\"] \n  20 -> 22 [size =\"22000640\"]\n  20 -> 23 [size =\"22000640\"]\n  21 [size=\"36734293\", alpha=\"0.14\", expect_size=\"11020288\"] \n  22 [size=\"87480320\", alpha=\"0.07\", expect_size=\"26244096\"] \n  22 -> 24 [size =\"26244096\"]\n  23 [size=\"36942507\", alpha=\"0.02\", expect_size=\"11082752\"] \n  23 -> 25 [size =\"11082752\"]\n  24 [size=\"93607253\", alpha=\"0.07\", expect_size=\"28082176\"] \n  24 -> 26 [size =\"28082176\"]\n  24 -> 27 [size =\"28082176\"]\n  25 [size=\"57733120\", alpha=\"0.11\", expect_size=\"17319936\"] \n  25 -> 27 [size =\"17319936\"]\n  26 [size=\"173967360\", alpha=\"0.14\", expect_size=\"52190208\"] \n  27 [size=\"53514240\", alpha=\"0.06\", expect_size=\"16054272\"] \n  27 -> 28 [size =\"16054272\"]\n  28 [size=\"82681173\", alpha=\"0.02\", expect_size=\"24804352\"] \n  28 -> 29 [size =\"24804352\"]\n  28 -> 30 [size =\"24804352\"]\n  29 [size=\"35997013\", alpha=\"0.16\", expect_size=\"10799104\"] \n  29 -> 31 [size =\"10799104\"]\n  29 -> 32 [size =\"10799104\"]\n  30 [size=\"17879040\", alpha=\"0.04\", expect_size=\"5363712\"] \n  30 -> 32 [size =\"5363712\"]\n  31 [size=\"174646613\", alpha=\"0.05\", expect_size=\"52393984\"] \n  31 -> 33 [size =\"52393984\"]\n  32 [size=\"126426453\", alpha=\"0.11\", expect_size=\"37927936\"] \n  32 -> 34 [size =\"37927936\"]\n  33 [size=\"23883093\", alpha=\"0.06\", expect_size=\"7164928\"] \n  34 [size=\"37785600\", alpha=\"0.08\", expect_size=\"11335680\"] \n  34 -> 35 [size =\"11335680\"]\n  35 [size=\"90876587\", alpha=\"0.04\", expect_size=\"27262976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37009408\", alpha=\"0.03\", expect_size=\"18504704\"] \n  1 -> 2 [size =\"18504704\"]\n  2 [size=\"48070656\", alpha=\"0.08\", expect_size=\"24035328\"] \n  2 -> 3 [size =\"24035328\"]\n  3 [size=\"92798976\", alpha=\"0.19\", expect_size=\"46399488\"] \n  3 -> 4 [size =\"46399488\"]\n  4 [size=\"61534208\", alpha=\"0.20\", expect_size=\"30767104\"] \n  4 -> 5 [size =\"30767104\"]\n  5 [size=\"16764928\", alpha=\"0.14\", expect_size=\"8382464\"] \n  5 -> 6 [size =\"8382464\"]\n  6 [size=\"40552448\", alpha=\"0.16\", expect_size=\"20276224\"] \n  6 -> 7 [size =\"20276224\"]\n  7 [size=\"86620160\", alpha=\"0.16\", expect_size=\"43310080\"] \n  7 -> 8 [size =\"43310080\"]\n  8 [size=\"31272960\", alpha=\"0.08\", expect_size=\"15636480\"] \n  8 -> 9 [size =\"15636480\"]\n  9 [size=\"56461312\", alpha=\"0.11\", expect_size=\"28230656\"] \n  9 -> 10 [size =\"28230656\"]\n  10 [size=\"47558656\", alpha=\"0.14\", expect_size=\"23779328\"] \n  10 -> 11 [size =\"23779328\"]\n  11 [size=\"49225728\", alpha=\"0.07\", expect_size=\"24612864\"] \n  11 -> 12 [size =\"24612864\"]\n  12 [size=\"63414272\", alpha=\"0.14\", expect_size=\"31707136\"] \n  12 -> 13 [size =\"31707136\"]\n  13 [size=\"100245504\", alpha=\"0.15\", expect_size=\"50122752\"] \n  13 -> 14 [size =\"50122752\"]\n  14 [size=\"96401408\", alpha=\"0.13\", expect_size=\"48200704\"] \n  14 -> 15 [size =\"48200704\"]\n  15 [size=\"95453184\", alpha=\"0.11\", expect_size=\"47726592\"] \n  15 -> 16 [size =\"47726592\"]\n  16 [size=\"69404672\", alpha=\"0.03\", expect_size=\"34702336\"] \n  16 -> 17 [size =\"34702336\"]\n  17 [size=\"49987584\", alpha=\"0.01\", expect_size=\"24993792\"] \n  17 -> 18 [size =\"24993792\"]\n  18 [size=\"32733184\", alpha=\"0.14\", expect_size=\"16366592\"] \n  18 -> 19 [size =\"16366592\"]\n  19 [size=\"69373952\", alpha=\"0.14\", expect_size=\"34686976\"] \n  19 -> 20 [size =\"34686976\"]\n  20 [size=\"26664960\", alpha=\"0.00\", expect_size=\"13332480\"] \n  20 -> 21 [size =\"13332480\"]\n  21 [size=\"92917760\", alpha=\"0.12\", expect_size=\"46458880\"] \n  21 -> 22 [size =\"46458880\"]\n  22 [size=\"32225280\", alpha=\"0.13\", expect_size=\"16112640\"] \n  22 -> 23 [size =\"16112640\"]\n  23 [size=\"99776512\", alpha=\"0.10\", expect_size=\"49888256\"] \n  23 -> 24 [size =\"49888256\"]\n  24 [size=\"74309632\", alpha=\"0.19\", expect_size=\"37154816\"] \n  24 -> 25 [size =\"37154816\"]\n  25 [size=\"39583744\", alpha=\"0.08\", expect_size=\"19791872\"] \n  25 -> 26 [size =\"19791872\"]\n  26 [size=\"91869184\", alpha=\"0.04\", expect_size=\"45934592\"] \n  26 -> 27 [size =\"45934592\"]\n  27 [size=\"12390400\", alpha=\"0.17\", expect_size=\"6195200\"] \n  27 -> 28 [size =\"6195200\"]\n  28 [size=\"17491968\", alpha=\"0.13\", expect_size=\"8745984\"] \n  28 -> 29 [size =\"8745984\"]\n  29 [size=\"85450752\", alpha=\"0.20\", expect_size=\"42725376\"] \n  29 -> 30 [size =\"42725376\"]\n  30 [size=\"56102912\", alpha=\"0.14\", expect_size=\"28051456\"] \n  30 -> 31 [size =\"28051456\"]\n  31 [size=\"57638912\", alpha=\"0.16\", expect_size=\"28819456\"] \n  31 -> 32 [size =\"28819456\"]\n  32 [size=\"22210560\", alpha=\"0.10\", expect_size=\"11105280\"] \n  32 -> 33 [size =\"11105280\"]\n  33 [size=\"81776640\", alpha=\"0.03\", expect_size=\"40888320\"] \n  33 -> 34 [size =\"40888320\"]\n  34 [size=\"35536896\", alpha=\"0.14\", expect_size=\"17768448\"] \n  34 -> 35 [size =\"17768448\"]\n  35 [size=\"28909568\", alpha=\"0.03\", expect_size=\"14454784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83845120\", alpha=\"0.06\", expect_size=\"33538048\"] \n  1 -> 30 [size =\"33538048\"]\n  1 -> 34 [size =\"33538048\"]\n  1 -> 35 [size =\"33538048\"]\n  2 [size=\"65067520\", alpha=\"0.04\", expect_size=\"26027008\"] \n  2 -> 31 [size =\"26027008\"]\n  2 -> 33 [size =\"26027008\"]\n  2 -> 34 [size =\"26027008\"]\n  3 [size=\"50060800\", alpha=\"0.10\", expect_size=\"20024320\"] \n  3 -> 32 [size =\"20024320\"]\n  3 -> 33 [size =\"20024320\"]\n  4 [size=\"69358080\", alpha=\"0.05\", expect_size=\"27743232\"] \n  4 -> 31 [size =\"27743232\"]\n  4 -> 33 [size =\"27743232\"]\n  5 [size=\"56488960\", alpha=\"0.18\", expect_size=\"22595584\"] \n  5 -> 33 [size =\"22595584\"]\n  6 [size=\"77391360\", alpha=\"0.01\", expect_size=\"30956544\"] \n  6 -> 30 [size =\"30956544\"]\n  6 -> 31 [size =\"30956544\"]\n  6 -> 32 [size =\"30956544\"]\n  6 -> 33 [size =\"30956544\"]\n  6 -> 35 [size =\"30956544\"]\n  7 [size=\"110077440\", alpha=\"0.08\", expect_size=\"44030976\"] \n  7 -> 31 [size =\"44030976\"]\n  8 [size=\"75537920\", alpha=\"0.17\", expect_size=\"30215168\"] \n  8 -> 30 [size =\"30215168\"]\n  8 -> 31 [size =\"30215168\"]\n  9 [size=\"93662720\", alpha=\"0.19\", expect_size=\"37465088\"] \n  9 -> 31 [size =\"37465088\"]\n  9 -> 33 [size =\"37465088\"]\n  10 [size=\"62999040\", alpha=\"0.16\", expect_size=\"25199616\"] \n  10 -> 33 [size =\"25199616\"]\n  10 -> 34 [size =\"25199616\"]\n  11 [size=\"107873280\", alpha=\"0.11\", expect_size=\"43149312\"] \n  11 -> 35 [size =\"43149312\"]\n  12 [size=\"24058880\", alpha=\"0.08\", expect_size=\"9623552\"] \n  12 -> 33 [size =\"9623552\"]\n  12 -> 34 [size =\"9623552\"]\n  13 [size=\"48353280\", alpha=\"0.07\", expect_size=\"19341312\"] \n  13 -> 30 [size =\"19341312\"]\n  13 -> 33 [size =\"19341312\"]\n  14 [size=\"106347520\", alpha=\"0.04\", expect_size=\"42539008\"] \n  14 -> 30 [size =\"42539008\"]\n  14 -> 32 [size =\"42539008\"]\n  14 -> 33 [size =\"42539008\"]\n  15 [size=\"20359680\", alpha=\"0.13\", expect_size=\"8143872\"] \n  15 -> 34 [size =\"8143872\"]\n  16 [size=\"125086720\", alpha=\"0.15\", expect_size=\"50034688\"] \n  16 -> 30 [size =\"50034688\"]\n  16 -> 32 [size =\"50034688\"]\n  16 -> 34 [size =\"50034688\"]\n  17 [size=\"15964160\", alpha=\"0.19\", expect_size=\"6385664\"] \n  18 [size=\"62369280\", alpha=\"0.19\", expect_size=\"24947712\"] \n  19 [size=\"47296000\", alpha=\"0.18\", expect_size=\"18918400\"] \n  19 -> 30 [size =\"18918400\"]\n  20 [size=\"41710080\", alpha=\"0.16\", expect_size=\"16684032\"] \n  20 -> 30 [size =\"16684032\"]\n  21 [size=\"19159040\", alpha=\"0.06\", expect_size=\"7663616\"] \n  21 -> 30 [size =\"7663616\"]\n  21 -> 31 [size =\"7663616\"]\n  21 -> 33 [size =\"7663616\"]\n  21 -> 34 [size =\"7663616\"]\n  22 [size=\"85437440\", alpha=\"0.04\", expect_size=\"34174976\"] \n  22 -> 30 [size =\"34174976\"]\n  23 [size=\"16721920\", alpha=\"0.09\", expect_size=\"6688768\"] \n  23 -> 33 [size =\"6688768\"]\n  24 [size=\"55390720\", alpha=\"0.04\", expect_size=\"22156288\"] \n  24 -> 30 [size =\"22156288\"]\n  25 [size=\"79045120\", alpha=\"0.05\", expect_size=\"31618048\"] \n  25 -> 30 [size =\"31618048\"]\n  25 -> 33 [size =\"31618048\"]\n  26 [size=\"37946880\", alpha=\"0.18\", expect_size=\"15178752\"] \n  26 -> 30 [size =\"15178752\"]\n  26 -> 35 [size =\"15178752\"]\n  27 [size=\"129162240\", alpha=\"0.07\", expect_size=\"51664896\"] \n  28 [size=\"123632640\", alpha=\"0.07\", expect_size=\"49453056\"] \n  28 -> 32 [size =\"49453056\"]\n  28 -> 33 [size =\"49453056\"]\n  29 [size=\"116090880\", alpha=\"0.00\", expect_size=\"46436352\"] \n  29 -> 35 [size =\"46436352\"]\n  30 [size=\"104135680\", alpha=\"0.02\", expect_size=\"41654272\"] \n  31 [size=\"79326720\", alpha=\"0.20\", expect_size=\"31730688\"] \n  32 [size=\"112399360\", alpha=\"0.20\", expect_size=\"44959744\"] \n  33 [size=\"19392000\", alpha=\"0.05\", expect_size=\"7756800\"] \n  34 [size=\"73182720\", alpha=\"0.07\", expect_size=\"29273088\"] \n  35 [size=\"94095360\", alpha=\"0.10\", expect_size=\"37638144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57239040\", alpha=\"0.06\", expect_size=\"22895616\"] \n  1 -> 4 [size =\"22895616\"]\n  2 [size=\"17774080\", alpha=\"0.15\", expect_size=\"7109632\"] \n  2 -> 3 [size =\"7109632\"]\n  3 [size=\"77276160\", alpha=\"0.17\", expect_size=\"30910464\"] \n  4 [size=\"30428160\", alpha=\"0.14\", expect_size=\"12171264\"] \n  4 -> 5 [size =\"12171264\"]\n  4 -> 6 [size =\"12171264\"]\n  5 [size=\"73149440\", alpha=\"0.07\", expect_size=\"29259776\"] \n  5 -> 7 [size =\"29259776\"]\n  6 [size=\"43765760\", alpha=\"0.20\", expect_size=\"17506304\"] \n  7 [size=\"51612160\", alpha=\"0.13\", expect_size=\"20644864\"] \n  7 -> 8 [size =\"20644864\"]\n  8 [size=\"81661440\", alpha=\"0.15\", expect_size=\"32664576\"] \n  8 -> 9 [size =\"32664576\"]\n  8 -> 10 [size =\"32664576\"]\n  9 [size=\"80819200\", alpha=\"0.19\", expect_size=\"32327680\"] \n  9 -> 11 [size =\"32327680\"]\n  9 -> 12 [size =\"32327680\"]\n  10 [size=\"45670400\", alpha=\"0.08\", expect_size=\"18268160\"] \n  11 [size=\"32801280\", alpha=\"0.01\", expect_size=\"13120512\"] \n  11 -> 13 [size =\"13120512\"]\n  12 [size=\"66984960\", alpha=\"0.10\", expect_size=\"26793984\"] \n  13 [size=\"40284160\", alpha=\"0.01\", expect_size=\"16113664\"] \n  13 -> 14 [size =\"16113664\"]\n  13 -> 15 [size =\"16113664\"]\n  14 [size=\"24711680\", alpha=\"0.11\", expect_size=\"9884672\"] \n  14 -> 16 [size =\"9884672\"]\n  15 [size=\"109317120\", alpha=\"0.04\", expect_size=\"43726848\"] \n  16 [size=\"31111680\", alpha=\"0.04\", expect_size=\"12444672\"] \n  16 -> 17 [size =\"12444672\"]\n  16 -> 18 [size =\"12444672\"]\n  17 [size=\"28966400\", alpha=\"0.04\", expect_size=\"11586560\"] \n  17 -> 19 [size =\"11586560\"]\n  18 [size=\"108037120\", alpha=\"0.05\", expect_size=\"43214848\"] \n  18 -> 20 [size =\"43214848\"]\n  19 [size=\"78929920\", alpha=\"0.20\", expect_size=\"31571968\"] \n  20 [size=\"72161280\", alpha=\"0.11\", expect_size=\"28864512\"] \n  20 -> 21 [size =\"28864512\"]\n  21 [size=\"118658560\", alpha=\"0.09\", expect_size=\"47463424\"] \n  21 -> 22 [size =\"47463424\"]\n  22 [size=\"124986880\", alpha=\"0.09\", expect_size=\"49994752\"] \n  22 -> 23 [size =\"49994752\"]\n  23 [size=\"64222720\", alpha=\"0.19\", expect_size=\"25689088\"] \n  23 -> 24 [size =\"25689088\"]\n  23 -> 25 [size =\"25689088\"]\n  24 [size=\"69201920\", alpha=\"0.12\", expect_size=\"27680768\"] \n  25 [size=\"17308160\", alpha=\"0.16\", expect_size=\"6923264\"] \n  25 -> 26 [size =\"6923264\"]\n  25 -> 27 [size =\"6923264\"]\n  26 [size=\"38589440\", alpha=\"0.04\", expect_size=\"15435776\"] \n  26 -> 28 [size =\"15435776\"]\n  27 [size=\"64394240\", alpha=\"0.19\", expect_size=\"25757696\"] \n  28 [size=\"87503360\", alpha=\"0.06\", expect_size=\"35001344\"] \n  28 -> 29 [size =\"35001344\"]\n  28 -> 30 [size =\"35001344\"]\n  29 [size=\"114114560\", alpha=\"0.04\", expect_size=\"45645824\"] \n  29 -> 32 [size =\"45645824\"]\n  30 [size=\"112396800\", alpha=\"0.08\", expect_size=\"44958720\"] \n  30 -> 31 [size =\"44958720\"]\n  31 [size=\"58360320\", alpha=\"0.15\", expect_size=\"23344128\"] \n  31 -> 33 [size =\"23344128\"]\n  32 [size=\"114106880\", alpha=\"0.12\", expect_size=\"45642752\"] \n  33 [size=\"48376320\", alpha=\"0.12\", expect_size=\"19350528\"] \n  33 -> 34 [size =\"19350528\"]\n  33 -> 35 [size =\"19350528\"]\n  34 [size=\"43299840\", alpha=\"0.15\", expect_size=\"17319936\"] \n  35 [size=\"116203520\", alpha=\"0.14\", expect_size=\"46481408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107963733\", alpha=\"0.06\", expect_size=\"32389120\"] \n  1 -> 5 [size =\"32389120\"]\n  1 -> 6 [size =\"32389120\"]\n  2 [size=\"44264107\", alpha=\"0.17\", expect_size=\"13279232\"] \n  2 -> 4 [size =\"13279232\"]\n  2 -> 5 [size =\"13279232\"]\n  2 -> 6 [size =\"13279232\"]\n  3 [size=\"153460053\", alpha=\"0.01\", expect_size=\"46038016\"] \n  3 -> 5 [size =\"46038016\"]\n  3 -> 7 [size =\"46038016\"]\n  4 [size=\"96344747\", alpha=\"0.19\", expect_size=\"28903424\"] \n  4 -> 8 [size =\"28903424\"]\n  4 -> 10 [size =\"28903424\"]\n  5 [size=\"61610667\", alpha=\"0.15\", expect_size=\"18483200\"] \n  5 -> 10 [size =\"18483200\"]\n  5 -> 11 [size =\"18483200\"]\n  6 [size=\"164256427\", alpha=\"0.12\", expect_size=\"49276928\"] \n  6 -> 8 [size =\"49276928\"]\n  6 -> 12 [size =\"49276928\"]\n  7 [size=\"71434240\", alpha=\"0.01\", expect_size=\"21430272\"] \n  7 -> 8 [size =\"21430272\"]\n  7 -> 9 [size =\"21430272\"]\n  8 [size=\"113527467\", alpha=\"0.05\", expect_size=\"34058240\"] \n  8 -> 13 [size =\"34058240\"]\n  8 -> 14 [size =\"34058240\"]\n  8 -> 15 [size =\"34058240\"]\n  9 [size=\"66751147\", alpha=\"0.18\", expect_size=\"20025344\"] \n  10 [size=\"126402560\", alpha=\"0.14\", expect_size=\"37920768\"] \n  10 -> 14 [size =\"37920768\"]\n  11 [size=\"113940480\", alpha=\"0.14\", expect_size=\"34182144\"] \n  12 [size=\"160556373\", alpha=\"0.11\", expect_size=\"48166912\"] \n  12 -> 14 [size =\"48166912\"]\n  12 -> 15 [size =\"48166912\"]\n  12 -> 16 [size =\"48166912\"]\n  13 [size=\"136297813\", alpha=\"0.06\", expect_size=\"40889344\"] \n  13 -> 18 [size =\"40889344\"]\n  13 -> 21 [size =\"40889344\"]\n  14 [size=\"146851840\", alpha=\"0.14\", expect_size=\"44055552\"] \n  14 -> 19 [size =\"44055552\"]\n  14 -> 21 [size =\"44055552\"]\n  15 [size=\"140390400\", alpha=\"0.20\", expect_size=\"42117120\"] \n  15 -> 17 [size =\"42117120\"]\n  15 -> 19 [size =\"42117120\"]\n  15 -> 20 [size =\"42117120\"]\n  16 [size=\"102929067\", alpha=\"0.06\", expect_size=\"30878720\"] \n  16 -> 20 [size =\"30878720\"]\n  17 [size=\"38536533\", alpha=\"0.08\", expect_size=\"11560960\"] \n  17 -> 23 [size =\"11560960\"]\n  18 [size=\"44216320\", alpha=\"0.12\", expect_size=\"13264896\"] \n  18 -> 23 [size =\"13264896\"]\n  18 -> 25 [size =\"13264896\"]\n  19 [size=\"81868800\", alpha=\"0.04\", expect_size=\"24560640\"] \n  19 -> 23 [size =\"24560640\"]\n  19 -> 24 [size =\"24560640\"]\n  19 -> 25 [size =\"24560640\"]\n  20 [size=\"65037653\", alpha=\"0.17\", expect_size=\"19511296\"] \n  20 -> 23 [size =\"19511296\"]\n  21 [size=\"172649813\", alpha=\"0.02\", expect_size=\"51794944\"] \n  21 -> 22 [size =\"51794944\"]\n  21 -> 25 [size =\"51794944\"]\n  22 [size=\"123736747\", alpha=\"0.10\", expect_size=\"37121024\"] \n  22 -> 26 [size =\"37121024\"]\n  22 -> 27 [size =\"37121024\"]\n  23 [size=\"54022827\", alpha=\"0.15\", expect_size=\"16206848\"] \n  23 -> 26 [size =\"16206848\"]\n  23 -> 27 [size =\"16206848\"]\n  23 -> 28 [size =\"16206848\"]\n  24 [size=\"101143893\", alpha=\"0.10\", expect_size=\"30343168\"] \n  25 [size=\"52162560\", alpha=\"0.11\", expect_size=\"15648768\"] \n  26 [size=\"48421547\", alpha=\"0.11\", expect_size=\"14526464\"] \n  26 -> 29 [size =\"14526464\"]\n  27 [size=\"94600533\", alpha=\"0.17\", expect_size=\"28380160\"] \n  27 -> 29 [size =\"28380160\"]\n  27 -> 30 [size =\"28380160\"]\n  27 -> 32 [size =\"28380160\"]\n  27 -> 33 [size =\"28380160\"]\n  28 [size=\"159955627\", alpha=\"0.16\", expect_size=\"47986688\"] \n  28 -> 30 [size =\"47986688\"]\n  28 -> 31 [size =\"47986688\"]\n  29 [size=\"98235733\", alpha=\"0.01\", expect_size=\"29470720\"] \n  29 -> 34 [size =\"29470720\"]\n  30 [size=\"128061440\", alpha=\"0.20\", expect_size=\"38418432\"] \n  30 -> 34 [size =\"38418432\"]\n  31 [size=\"103789227\", alpha=\"0.11\", expect_size=\"31136768\"] \n  32 [size=\"115899733\", alpha=\"0.00\", expect_size=\"34769920\"] \n  33 [size=\"33901227\", alpha=\"0.05\", expect_size=\"10170368\"] \n  33 -> 35 [size =\"10170368\"]\n  34 [size=\"151063893\", alpha=\"0.05\", expect_size=\"45319168\"] \n  35 [size=\"74400427\", alpha=\"0.02\", expect_size=\"22320128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34306048\", alpha=\"0.13\", expect_size=\"17153024\"] \n  1 -> 7 [size =\"17153024\"]\n  1 -> 8 [size =\"17153024\"]\n  1 -> 10 [size =\"17153024\"]\n  2 [size=\"103196672\", alpha=\"0.17\", expect_size=\"51598336\"] \n  2 -> 6 [size =\"51598336\"]\n  2 -> 7 [size =\"51598336\"]\n  2 -> 8 [size =\"51598336\"]\n  2 -> 10 [size =\"51598336\"]\n  3 [size=\"85542912\", alpha=\"0.12\", expect_size=\"42771456\"] \n  4 [size=\"95600640\", alpha=\"0.02\", expect_size=\"47800320\"] \n  4 -> 6 [size =\"47800320\"]\n  4 -> 9 [size =\"47800320\"]\n  5 [size=\"96000000\", alpha=\"0.00\", expect_size=\"48000000\"] \n  5 -> 9 [size =\"48000000\"]\n  5 -> 9 [size =\"48000000\"]\n  5 -> 10 [size =\"48000000\"]\n  6 [size=\"49467392\", alpha=\"0.01\", expect_size=\"24733696\"] \n  6 -> 14 [size =\"24733696\"]\n  7 [size=\"82112512\", alpha=\"0.14\", expect_size=\"41056256\"] \n  7 -> 11 [size =\"41056256\"]\n  7 -> 12 [size =\"41056256\"]\n  7 -> 13 [size =\"41056256\"]\n  7 -> 14 [size =\"41056256\"]\n  8 [size=\"92846080\", alpha=\"0.04\", expect_size=\"46423040\"] \n  8 -> 11 [size =\"46423040\"]\n  9 [size=\"28090368\", alpha=\"0.15\", expect_size=\"14045184\"] \n  9 -> 12 [size =\"14045184\"]\n  10 [size=\"59037696\", alpha=\"0.03\", expect_size=\"29518848\"] \n  11 [size=\"15634432\", alpha=\"0.03\", expect_size=\"7817216\"] \n  11 -> 15 [size =\"7817216\"]\n  12 [size=\"75091968\", alpha=\"0.13\", expect_size=\"37545984\"] \n  12 -> 16 [size =\"37545984\"]\n  13 [size=\"60047360\", alpha=\"0.05\", expect_size=\"30023680\"] \n  13 -> 15 [size =\"30023680\"]\n  13 -> 16 [size =\"30023680\"]\n  13 -> 17 [size =\"30023680\"]\n  14 [size=\"23177216\", alpha=\"0.20\", expect_size=\"11588608\"] \n  14 -> 16 [size =\"11588608\"]\n  14 -> 17 [size =\"11588608\"]\n  15 [size=\"34473984\", alpha=\"0.14\", expect_size=\"17236992\"] \n  15 -> 18 [size =\"17236992\"]\n  15 -> 19 [size =\"17236992\"]\n  15 -> 20 [size =\"17236992\"]\n  15 -> 21 [size =\"17236992\"]\n  16 [size=\"36638720\", alpha=\"0.10\", expect_size=\"18319360\"] \n  17 [size=\"39684096\", alpha=\"0.06\", expect_size=\"19842048\"] \n  17 -> 19 [size =\"19842048\"]\n  17 -> 22 [size =\"19842048\"]\n  18 [size=\"104775680\", alpha=\"0.19\", expect_size=\"52387840\"] \n  18 -> 25 [size =\"52387840\"]\n  18 -> 26 [size =\"52387840\"]\n  19 [size=\"31510528\", alpha=\"0.12\", expect_size=\"15755264\"] \n  19 -> 25 [size =\"15755264\"]\n  20 [size=\"102340608\", alpha=\"0.11\", expect_size=\"51170304\"] \n  20 -> 26 [size =\"51170304\"]\n  21 [size=\"20994048\", alpha=\"0.15\", expect_size=\"10497024\"] \n  21 -> 25 [size =\"10497024\"]\n  22 [size=\"36952064\", alpha=\"0.19\", expect_size=\"18476032\"] \n  22 -> 23 [size =\"18476032\"]\n  22 -> 24 [size =\"18476032\"]\n  23 [size=\"98207744\", alpha=\"0.19\", expect_size=\"49103872\"] \n  23 -> 29 [size =\"49103872\"]\n  23 -> 30 [size =\"49103872\"]\n  24 [size=\"28891136\", alpha=\"0.17\", expect_size=\"14445568\"] \n  24 -> 28 [size =\"14445568\"]\n  24 -> 30 [size =\"14445568\"]\n  25 [size=\"27998208\", alpha=\"0.13\", expect_size=\"13999104\"] \n  25 -> 27 [size =\"13999104\"]\n  26 [size=\"93929472\", alpha=\"0.17\", expect_size=\"46964736\"] \n  26 -> 27 [size =\"46964736\"]\n  26 -> 28 [size =\"46964736\"]\n  26 -> 29 [size =\"46964736\"]\n  26 -> 30 [size =\"46964736\"]\n  27 [size=\"46028800\", alpha=\"0.16\", expect_size=\"23014400\"] \n  27 -> 32 [size =\"23014400\"]\n  28 [size=\"76304384\", alpha=\"0.13\", expect_size=\"38152192\"] \n  28 -> 31 [size =\"38152192\"]\n  28 -> 33 [size =\"38152192\"]\n  29 [size=\"70680576\", alpha=\"0.13\", expect_size=\"35340288\"] \n  29 -> 31 [size =\"35340288\"]\n  29 -> 32 [size =\"35340288\"]\n  29 -> 34 [size =\"35340288\"]\n  30 [size=\"32501760\", alpha=\"0.04\", expect_size=\"16250880\"] \n  30 -> 31 [size =\"16250880\"]\n  30 -> 32 [size =\"16250880\"]\n  30 -> 34 [size =\"16250880\"]\n  31 [size=\"84678656\", alpha=\"0.16\", expect_size=\"42339328\"] \n  32 [size=\"62291968\", alpha=\"0.02\", expect_size=\"31145984\"] \n  32 -> 35 [size =\"31145984\"]\n  33 [size=\"58050560\", alpha=\"0.18\", expect_size=\"29025280\"] \n  34 [size=\"52645888\", alpha=\"0.17\", expect_size=\"26322944\"] \n  34 -> 35 [size =\"26322944\"]\n  35 [size=\"36816896\", alpha=\"0.01\", expect_size=\"18408448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80257024\", alpha=\"0.13\", expect_size=\"40128512\"] \n  1 -> 3 [size =\"40128512\"]\n  2 [size=\"104617984\", alpha=\"0.02\", expect_size=\"52308992\"] \n  2 -> 3 [size =\"52308992\"]\n  3 [size=\"57843712\", alpha=\"0.20\", expect_size=\"28921856\"] \n  3 -> 4 [size =\"28921856\"]\n  3 -> 5 [size =\"28921856\"]\n  4 [size=\"73998336\", alpha=\"0.05\", expect_size=\"36999168\"] \n  4 -> 6 [size =\"36999168\"]\n  5 [size=\"28600320\", alpha=\"0.08\", expect_size=\"14300160\"] \n  5 -> 6 [size =\"14300160\"]\n  6 [size=\"67764224\", alpha=\"0.07\", expect_size=\"33882112\"] \n  6 -> 7 [size =\"33882112\"]\n  7 [size=\"46692352\", alpha=\"0.13\", expect_size=\"23346176\"] \n  7 -> 8 [size =\"23346176\"]\n  8 [size=\"18798592\", alpha=\"0.06\", expect_size=\"9399296\"] \n  8 -> 9 [size =\"9399296\"]\n  8 -> 10 [size =\"9399296\"]\n  9 [size=\"44849152\", alpha=\"0.11\", expect_size=\"22424576\"] \n  9 -> 11 [size =\"22424576\"]\n  10 [size=\"44820480\", alpha=\"0.16\", expect_size=\"22410240\"] \n  11 [size=\"31066112\", alpha=\"0.04\", expect_size=\"15533056\"] \n  11 -> 12 [size =\"15533056\"]\n  12 [size=\"90353664\", alpha=\"0.10\", expect_size=\"45176832\"] \n  12 -> 13 [size =\"45176832\"]\n  13 [size=\"97767424\", alpha=\"0.03\", expect_size=\"48883712\"] \n  13 -> 14 [size =\"48883712\"]\n  13 -> 15 [size =\"48883712\"]\n  14 [size=\"97048576\", alpha=\"0.04\", expect_size=\"48524288\"] \n  14 -> 16 [size =\"48524288\"]\n  14 -> 17 [size =\"48524288\"]\n  15 [size=\"26814464\", alpha=\"0.15\", expect_size=\"13407232\"] \n  15 -> 16 [size =\"13407232\"]\n  15 -> 17 [size =\"13407232\"]\n  16 [size=\"64520192\", alpha=\"0.16\", expect_size=\"32260096\"] \n  16 -> 18 [size =\"32260096\"]\n  16 -> 19 [size =\"32260096\"]\n  17 [size=\"97067008\", alpha=\"0.19\", expect_size=\"48533504\"] \n  17 -> 18 [size =\"48533504\"]\n  17 -> 19 [size =\"48533504\"]\n  18 [size=\"64872448\", alpha=\"0.11\", expect_size=\"32436224\"] \n  19 [size=\"91793408\", alpha=\"0.14\", expect_size=\"45896704\"] \n  19 -> 20 [size =\"45896704\"]\n  20 [size=\"48048128\", alpha=\"0.19\", expect_size=\"24024064\"] \n  20 -> 21 [size =\"24024064\"]\n  21 [size=\"27883520\", alpha=\"0.19\", expect_size=\"13941760\"] \n  21 -> 22 [size =\"13941760\"]\n  21 -> 23 [size =\"13941760\"]\n  22 [size=\"48685056\", alpha=\"0.19\", expect_size=\"24342528\"] \n  22 -> 24 [size =\"24342528\"]\n  23 [size=\"97507328\", alpha=\"0.09\", expect_size=\"48753664\"] \n  23 -> 24 [size =\"48753664\"]\n  24 [size=\"19279872\", alpha=\"0.12\", expect_size=\"9639936\"] \n  24 -> 25 [size =\"9639936\"]\n  24 -> 26 [size =\"9639936\"]\n  25 [size=\"39661568\", alpha=\"0.19\", expect_size=\"19830784\"] \n  25 -> 27 [size =\"19830784\"]\n  26 [size=\"14551040\", alpha=\"0.18\", expect_size=\"7275520\"] \n  26 -> 27 [size =\"7275520\"]\n  27 [size=\"89726976\", alpha=\"0.05\", expect_size=\"44863488\"] \n  27 -> 28 [size =\"44863488\"]\n  27 -> 29 [size =\"44863488\"]\n  28 [size=\"83740672\", alpha=\"0.14\", expect_size=\"41870336\"] \n  28 -> 30 [size =\"41870336\"]\n  29 [size=\"41150464\", alpha=\"0.10\", expect_size=\"20575232\"] \n  29 -> 30 [size =\"20575232\"]\n  30 [size=\"12894208\", alpha=\"0.14\", expect_size=\"6447104\"] \n  30 -> 31 [size =\"6447104\"]\n  30 -> 32 [size =\"6447104\"]\n  31 [size=\"103055360\", alpha=\"0.01\", expect_size=\"51527680\"] \n  31 -> 33 [size =\"51527680\"]\n  32 [size=\"98289664\", alpha=\"0.06\", expect_size=\"49144832\"] \n  32 -> 33 [size =\"49144832\"]\n  33 [size=\"92729344\", alpha=\"0.09\", expect_size=\"46364672\"] \n  33 -> 34 [size =\"46364672\"]\n  34 [size=\"39360512\", alpha=\"0.10\", expect_size=\"19680256\"] \n  34 -> 35 [size =\"19680256\"]\n  35 [size=\"96069632\", alpha=\"0.15\", expect_size=\"48034816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46118912\", alpha=\"0.19\", expect_size=\"23059456\"] \n  1 -> 2 [size =\"23059456\"]\n  2 [size=\"52193280\", alpha=\"0.11\", expect_size=\"26096640\"] \n  2 -> 3 [size =\"26096640\"]\n  3 [size=\"11165696\", alpha=\"0.13\", expect_size=\"5582848\"] \n  3 -> 4 [size =\"5582848\"]\n  4 [size=\"75606016\", alpha=\"0.16\", expect_size=\"37803008\"] \n  4 -> 5 [size =\"37803008\"]\n  5 [size=\"13127680\", alpha=\"0.19\", expect_size=\"6563840\"] \n  5 -> 6 [size =\"6563840\"]\n  6 [size=\"47747072\", alpha=\"0.01\", expect_size=\"23873536\"] \n  6 -> 7 [size =\"23873536\"]\n  7 [size=\"96157696\", alpha=\"0.18\", expect_size=\"48078848\"] \n  7 -> 8 [size =\"48078848\"]\n  8 [size=\"21018624\", alpha=\"0.19\", expect_size=\"10509312\"] \n  8 -> 9 [size =\"10509312\"]\n  9 [size=\"86151168\", alpha=\"0.05\", expect_size=\"43075584\"] \n  9 -> 10 [size =\"43075584\"]\n  10 [size=\"77991936\", alpha=\"0.02\", expect_size=\"38995968\"] \n  10 -> 11 [size =\"38995968\"]\n  11 [size=\"52307968\", alpha=\"0.13\", expect_size=\"26153984\"] \n  11 -> 12 [size =\"26153984\"]\n  12 [size=\"49711104\", alpha=\"0.20\", expect_size=\"24855552\"] \n  12 -> 13 [size =\"24855552\"]\n  13 [size=\"102688768\", alpha=\"0.02\", expect_size=\"51344384\"] \n  13 -> 14 [size =\"51344384\"]\n  14 [size=\"69322752\", alpha=\"0.20\", expect_size=\"34661376\"] \n  14 -> 15 [size =\"34661376\"]\n  15 [size=\"48293888\", alpha=\"0.01\", expect_size=\"24146944\"] \n  15 -> 16 [size =\"24146944\"]\n  16 [size=\"43425792\", alpha=\"0.10\", expect_size=\"21712896\"] \n  16 -> 17 [size =\"21712896\"]\n  17 [size=\"49770496\", alpha=\"0.09\", expect_size=\"24885248\"] \n  17 -> 18 [size =\"24885248\"]\n  18 [size=\"39727104\", alpha=\"0.15\", expect_size=\"19863552\"] \n  18 -> 19 [size =\"19863552\"]\n  19 [size=\"32966656\", alpha=\"0.11\", expect_size=\"16483328\"] \n  19 -> 20 [size =\"16483328\"]\n  20 [size=\"57262080\", alpha=\"0.08\", expect_size=\"28631040\"] \n  20 -> 21 [size =\"28631040\"]\n  21 [size=\"67543040\", alpha=\"0.13\", expect_size=\"33771520\"] \n  21 -> 22 [size =\"33771520\"]\n  22 [size=\"36329472\", alpha=\"0.07\", expect_size=\"18164736\"] \n  22 -> 23 [size =\"18164736\"]\n  23 [size=\"35252224\", alpha=\"0.01\", expect_size=\"17626112\"] \n  23 -> 24 [size =\"17626112\"]\n  24 [size=\"42975232\", alpha=\"0.08\", expect_size=\"21487616\"] \n  24 -> 25 [size =\"21487616\"]\n  25 [size=\"40861696\", alpha=\"0.17\", expect_size=\"20430848\"] \n  25 -> 26 [size =\"20430848\"]\n  26 [size=\"44099584\", alpha=\"0.13\", expect_size=\"22049792\"] \n  26 -> 27 [size =\"22049792\"]\n  27 [size=\"90673152\", alpha=\"0.07\", expect_size=\"45336576\"] \n  27 -> 28 [size =\"45336576\"]\n  28 [size=\"38969344\", alpha=\"0.04\", expect_size=\"19484672\"] \n  28 -> 29 [size =\"19484672\"]\n  29 [size=\"17489920\", alpha=\"0.17\", expect_size=\"8744960\"] \n  29 -> 30 [size =\"8744960\"]\n  30 [size=\"67139584\", alpha=\"0.04\", expect_size=\"33569792\"] \n  30 -> 31 [size =\"33569792\"]\n  31 [size=\"104617984\", alpha=\"0.19\", expect_size=\"52308992\"] \n  31 -> 32 [size =\"52308992\"]\n  32 [size=\"71186432\", alpha=\"0.03\", expect_size=\"35593216\"] \n  32 -> 33 [size =\"35593216\"]\n  33 [size=\"102926336\", alpha=\"0.07\", expect_size=\"51463168\"] \n  33 -> 34 [size =\"51463168\"]\n  34 [size=\"11778048\", alpha=\"0.03\", expect_size=\"5889024\"] \n  34 -> 35 [size =\"5889024\"]\n  35 [size=\"51603456\", alpha=\"0.07\", expect_size=\"25801728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116350293\", alpha=\"0.09\", expect_size=\"34905088\"] \n  1 -> 14 [size =\"34905088\"]\n  1 -> 19 [size =\"34905088\"]\n  1 -> 20 [size =\"34905088\"]\n  1 -> 22 [size =\"34905088\"]\n  1 -> 23 [size =\"34905088\"]\n  2 [size=\"120442880\", alpha=\"0.15\", expect_size=\"36132864\"] \n  2 -> 14 [size =\"36132864\"]\n  2 -> 15 [size =\"36132864\"]\n  2 -> 16 [size =\"36132864\"]\n  2 -> 18 [size =\"36132864\"]\n  2 -> 19 [size =\"36132864\"]\n  2 -> 20 [size =\"36132864\"]\n  2 -> 21 [size =\"36132864\"]\n  2 -> 22 [size =\"36132864\"]\n  3 [size=\"30737067\", alpha=\"0.08\", expect_size=\"9221120\"] \n  3 -> 14 [size =\"9221120\"]\n  3 -> 15 [size =\"9221120\"]\n  3 -> 16 [size =\"9221120\"]\n  3 -> 17 [size =\"9221120\"]\n  3 -> 18 [size =\"9221120\"]\n  3 -> 20 [size =\"9221120\"]\n  3 -> 22 [size =\"9221120\"]\n  4 [size=\"62501547\", alpha=\"0.01\", expect_size=\"18750464\"] \n  4 -> 14 [size =\"18750464\"]\n  4 -> 15 [size =\"18750464\"]\n  4 -> 16 [size =\"18750464\"]\n  4 -> 17 [size =\"18750464\"]\n  4 -> 18 [size =\"18750464\"]\n  4 -> 20 [size =\"18750464\"]\n  4 -> 22 [size =\"18750464\"]\n  5 [size=\"49056427\", alpha=\"0.11\", expect_size=\"14716928\"] \n  5 -> 14 [size =\"14716928\"]\n  5 -> 15 [size =\"14716928\"]\n  5 -> 16 [size =\"14716928\"]\n  5 -> 17 [size =\"14716928\"]\n  5 -> 18 [size =\"14716928\"]\n  5 -> 20 [size =\"14716928\"]\n  5 -> 22 [size =\"14716928\"]\n  5 -> 23 [size =\"14716928\"]\n  6 [size=\"47312213\", alpha=\"0.14\", expect_size=\"14193664\"] \n  6 -> 14 [size =\"14193664\"]\n  6 -> 15 [size =\"14193664\"]\n  6 -> 16 [size =\"14193664\"]\n  6 -> 19 [size =\"14193664\"]\n  6 -> 21 [size =\"14193664\"]\n  6 -> 22 [size =\"14193664\"]\n  6 -> 23 [size =\"14193664\"]\n  7 [size=\"83087360\", alpha=\"0.06\", expect_size=\"24926208\"] \n  7 -> 14 [size =\"24926208\"]\n  7 -> 15 [size =\"24926208\"]\n  7 -> 16 [size =\"24926208\"]\n  7 -> 17 [size =\"24926208\"]\n  7 -> 21 [size =\"24926208\"]\n  8 [size=\"42653013\", alpha=\"0.08\", expect_size=\"12795904\"] \n  8 -> 14 [size =\"12795904\"]\n  8 -> 15 [size =\"12795904\"]\n  8 -> 16 [size =\"12795904\"]\n  8 -> 20 [size =\"12795904\"]\n  8 -> 21 [size =\"12795904\"]\n  8 -> 23 [size =\"12795904\"]\n  9 [size=\"75946667\", alpha=\"0.11\", expect_size=\"22784000\"] \n  9 -> 17 [size =\"22784000\"]\n  9 -> 18 [size =\"22784000\"]\n  9 -> 20 [size =\"22784000\"]\n  9 -> 21 [size =\"22784000\"]\n  10 [size=\"66283520\", alpha=\"0.14\", expect_size=\"19885056\"] \n  10 -> 17 [size =\"19885056\"]\n  10 -> 18 [size =\"19885056\"]\n  10 -> 20 [size =\"19885056\"]\n  10 -> 21 [size =\"19885056\"]\n  11 [size=\"58815147\", alpha=\"0.17\", expect_size=\"17644544\"] \n  11 -> 14 [size =\"17644544\"]\n  11 -> 15 [size =\"17644544\"]\n  11 -> 16 [size =\"17644544\"]\n  11 -> 17 [size =\"17644544\"]\n  11 -> 18 [size =\"17644544\"]\n  11 -> 20 [size =\"17644544\"]\n  11 -> 22 [size =\"17644544\"]\n  11 -> 23 [size =\"17644544\"]\n  12 [size=\"131819520\", alpha=\"0.14\", expect_size=\"39545856\"] \n  12 -> 14 [size =\"39545856\"]\n  12 -> 15 [size =\"39545856\"]\n  12 -> 16 [size =\"39545856\"]\n  12 -> 18 [size =\"39545856\"]\n  12 -> 18 [size =\"39545856\"]\n  12 -> 19 [size =\"39545856\"]\n  12 -> 20 [size =\"39545856\"]\n  12 -> 21 [size =\"39545856\"]\n  12 -> 23 [size =\"39545856\"]\n  13 [size=\"93313707\", alpha=\"0.06\", expect_size=\"27994112\"] \n  13 -> 14 [size =\"27994112\"]\n  13 -> 20 [size =\"27994112\"]\n  13 -> 22 [size =\"27994112\"]\n  13 -> 23 [size =\"27994112\"]\n  14 [size=\"153695573\", alpha=\"0.02\", expect_size=\"46108672\"] \n  14 -> 24 [size =\"46108672\"]\n  14 -> 28 [size =\"46108672\"]\n  14 -> 31 [size =\"46108672\"]\n  15 [size=\"160853333\", alpha=\"0.05\", expect_size=\"48256000\"] \n  15 -> 24 [size =\"48256000\"]\n  15 -> 28 [size =\"48256000\"]\n  15 -> 31 [size =\"48256000\"]\n  15 -> 32 [size =\"48256000\"]\n  15 -> 33 [size =\"48256000\"]\n  15 -> 34 [size =\"48256000\"]\n  16 [size=\"90443093\", alpha=\"0.06\", expect_size=\"27132928\"] \n  16 -> 24 [size =\"27132928\"]\n  16 -> 27 [size =\"27132928\"]\n  16 -> 31 [size =\"27132928\"]\n  16 -> 32 [size =\"27132928\"]\n  16 -> 33 [size =\"27132928\"]\n  17 [size=\"46578347\", alpha=\"0.01\", expect_size=\"13973504\"] \n  17 -> 25 [size =\"13973504\"]\n  17 -> 26 [size =\"13973504\"]\n  17 -> 27 [size =\"13973504\"]\n  17 -> 30 [size =\"13973504\"]\n  17 -> 32 [size =\"13973504\"]\n  17 -> 34 [size =\"13973504\"]\n  18 [size=\"90361173\", alpha=\"0.17\", expect_size=\"27108352\"] \n  18 -> 25 [size =\"27108352\"]\n  18 -> 29 [size =\"27108352\"]\n  18 -> 30 [size =\"27108352\"]\n  18 -> 32 [size =\"27108352\"]\n  18 -> 33 [size =\"27108352\"]\n  18 -> 34 [size =\"27108352\"]\n  19 [size=\"156023467\", alpha=\"0.18\", expect_size=\"46807040\"] \n  19 -> 26 [size =\"46807040\"]\n  19 -> 29 [size =\"46807040\"]\n  19 -> 31 [size =\"46807040\"]\n  19 -> 33 [size =\"46807040\"]\n  19 -> 33 [size =\"46807040\"]\n  19 -> 34 [size =\"46807040\"]\n  20 [size=\"85504000\", alpha=\"0.19\", expect_size=\"25651200\"] \n  20 -> 25 [size =\"25651200\"]\n  20 -> 26 [size =\"25651200\"]\n  20 -> 31 [size =\"25651200\"]\n  20 -> 33 [size =\"25651200\"]\n  20 -> 34 [size =\"25651200\"]\n  21 [size=\"34867200\", alpha=\"0.13\", expect_size=\"10460160\"] \n  21 -> 24 [size =\"10460160\"]\n  21 -> 31 [size =\"10460160\"]\n  21 -> 32 [size =\"10460160\"]\n  21 -> 33 [size =\"10460160\"]\n  22 [size=\"164962987\", alpha=\"0.00\", expect_size=\"49488896\"] \n  22 -> 24 [size =\"49488896\"]\n  22 -> 26 [size =\"49488896\"]\n  22 -> 28 [size =\"49488896\"]\n  22 -> 29 [size =\"49488896\"]\n  22 -> 31 [size =\"49488896\"]\n  22 -> 32 [size =\"49488896\"]\n  22 -> 33 [size =\"49488896\"]\n  22 -> 34 [size =\"49488896\"]\n  23 [size=\"117108053\", alpha=\"0.09\", expect_size=\"35132416\"] \n  23 -> 24 [size =\"35132416\"]\n  23 -> 25 [size =\"35132416\"]\n  23 -> 26 [size =\"35132416\"]\n  23 -> 27 [size =\"35132416\"]\n  23 -> 31 [size =\"35132416\"]\n  23 -> 33 [size =\"35132416\"]\n  24 [size=\"163061760\", alpha=\"0.04\", expect_size=\"48918528\"] \n  25 [size=\"17824427\", alpha=\"0.02\", expect_size=\"5347328\"] \n  26 [size=\"59497813\", alpha=\"0.05\", expect_size=\"17849344\"] \n  27 [size=\"108451840\", alpha=\"0.15\", expect_size=\"32535552\"] \n  28 [size=\"116657493\", alpha=\"0.09\", expect_size=\"34997248\"] \n  28 -> 35 [size =\"34997248\"]\n  29 [size=\"90374827\", alpha=\"0.10\", expect_size=\"27112448\"] \n  30 [size=\"73683627\", alpha=\"0.18\", expect_size=\"22105088\"] \n  31 [size=\"68215467\", alpha=\"0.11\", expect_size=\"20464640\"] \n  31 -> 35 [size =\"20464640\"]\n  32 [size=\"172840960\", alpha=\"0.18\", expect_size=\"51852288\"] \n  33 [size=\"18677760\", alpha=\"0.15\", expect_size=\"5603328\"] \n  34 [size=\"90839040\", alpha=\"0.09\", expect_size=\"27251712\"] \n  35 [size=\"119787520\", alpha=\"0.02\", expect_size=\"35936256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63575040\", alpha=\"0.08\", expect_size=\"25430016\"] \n  1 -> 5 [size =\"25430016\"]\n  1 -> 7 [size =\"25430016\"]\n  2 [size=\"94525440\", alpha=\"0.05\", expect_size=\"37810176\"] \n  2 -> 6 [size =\"37810176\"]\n  3 [size=\"68410880\", alpha=\"0.14\", expect_size=\"27364352\"] \n  3 -> 4 [size =\"27364352\"]\n  3 -> 7 [size =\"27364352\"]\n  4 [size=\"124377600\", alpha=\"0.14\", expect_size=\"49751040\"] \n  5 [size=\"111549440\", alpha=\"0.20\", expect_size=\"44619776\"] \n  5 -> 9 [size =\"44619776\"]\n  5 -> 11 [size =\"44619776\"]\n  5 -> 12 [size =\"44619776\"]\n  6 [size=\"100751360\", alpha=\"0.14\", expect_size=\"40300544\"] \n  6 -> 8 [size =\"40300544\"]\n  6 -> 9 [size =\"40300544\"]\n  6 -> 10 [size =\"40300544\"]\n  6 -> 11 [size =\"40300544\"]\n  7 [size=\"50191360\", alpha=\"0.14\", expect_size=\"20076544\"] \n  7 -> 12 [size =\"20076544\"]\n  8 [size=\"106311680\", alpha=\"0.01\", expect_size=\"42524672\"] \n  8 -> 13 [size =\"42524672\"]\n  8 -> 15 [size =\"42524672\"]\n  9 [size=\"74726400\", alpha=\"0.01\", expect_size=\"29890560\"] \n  9 -> 13 [size =\"29890560\"]\n  9 -> 14 [size =\"29890560\"]\n  9 -> 15 [size =\"29890560\"]\n  9 -> 16 [size =\"29890560\"]\n  9 -> 17 [size =\"29890560\"]\n  10 [size=\"85504000\", alpha=\"0.06\", expect_size=\"34201600\"] \n  10 -> 13 [size =\"34201600\"]\n  10 -> 14 [size =\"34201600\"]\n  11 [size=\"24220160\", alpha=\"0.18\", expect_size=\"9688064\"] \n  11 -> 17 [size =\"9688064\"]\n  12 [size=\"73922560\", alpha=\"0.06\", expect_size=\"29569024\"] \n  12 -> 16 [size =\"29569024\"]\n  12 -> 17 [size =\"29569024\"]\n  13 [size=\"105681920\", alpha=\"0.17\", expect_size=\"42272768\"] \n  13 -> 21 [size =\"42272768\"]\n  14 [size=\"72527360\", alpha=\"0.08\", expect_size=\"29010944\"] \n  14 -> 18 [size =\"29010944\"]\n  14 -> 22 [size =\"29010944\"]\n  14 -> 23 [size =\"29010944\"]\n  15 [size=\"36413440\", alpha=\"0.04\", expect_size=\"14565376\"] \n  15 -> 18 [size =\"14565376\"]\n  15 -> 20 [size =\"14565376\"]\n  15 -> 21 [size =\"14565376\"]\n  15 -> 22 [size =\"14565376\"]\n  16 [size=\"34885120\", alpha=\"0.07\", expect_size=\"13954048\"] \n  16 -> 18 [size =\"13954048\"]\n  16 -> 20 [size =\"13954048\"]\n  17 [size=\"118100480\", alpha=\"0.08\", expect_size=\"47240192\"] \n  17 -> 19 [size =\"47240192\"]\n  17 -> 20 [size =\"47240192\"]\n  18 [size=\"82183680\", alpha=\"0.13\", expect_size=\"32873472\"] \n  18 -> 24 [size =\"32873472\"]\n  19 [size=\"86218240\", alpha=\"0.09\", expect_size=\"34487296\"] \n  19 -> 24 [size =\"34487296\"]\n  19 -> 25 [size =\"34487296\"]\n  19 -> 26 [size =\"34487296\"]\n  20 [size=\"90188800\", alpha=\"0.09\", expect_size=\"36075520\"] \n  20 -> 26 [size =\"36075520\"]\n  21 [size=\"123438080\", alpha=\"0.18\", expect_size=\"49375232\"] \n  22 [size=\"110394880\", alpha=\"0.01\", expect_size=\"44157952\"] \n  23 [size=\"26001920\", alpha=\"0.13\", expect_size=\"10400768\"] \n  23 -> 24 [size =\"10400768\"]\n  24 [size=\"126878720\", alpha=\"0.04\", expect_size=\"50751488\"] \n  25 [size=\"53329920\", alpha=\"0.11\", expect_size=\"21331968\"] \n  25 -> 27 [size =\"21331968\"]\n  25 -> 28 [size =\"21331968\"]\n  25 -> 30 [size =\"21331968\"]\n  26 [size=\"77975040\", alpha=\"0.14\", expect_size=\"31190016\"] \n  26 -> 29 [size =\"31190016\"]\n  27 [size=\"117985280\", alpha=\"0.02\", expect_size=\"47194112\"] \n  27 -> 31 [size =\"47194112\"]\n  27 -> 32 [size =\"47194112\"]\n  27 -> 34 [size =\"47194112\"]\n  28 [size=\"48348160\", alpha=\"0.07\", expect_size=\"19339264\"] \n  28 -> 33 [size =\"19339264\"]\n  29 [size=\"123596800\", alpha=\"0.02\", expect_size=\"49438720\"] \n  30 [size=\"60075520\", alpha=\"0.09\", expect_size=\"24030208\"] \n  30 -> 32 [size =\"24030208\"]\n  31 [size=\"116037120\", alpha=\"0.18\", expect_size=\"46414848\"] \n  32 [size=\"106017280\", alpha=\"0.18\", expect_size=\"42406912\"] \n  33 [size=\"111436800\", alpha=\"0.13\", expect_size=\"44574720\"] \n  33 -> 35 [size =\"44574720\"]\n  34 [size=\"69632000\", alpha=\"0.18\", expect_size=\"27852800\"] \n  35 [size=\"91880960\", alpha=\"0.07\", expect_size=\"36752384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50070187\", alpha=\"0.16\", expect_size=\"15021056\"] \n  1 -> 2 [size =\"15021056\"]\n  2 [size=\"99962880\", alpha=\"0.20\", expect_size=\"29988864\"] \n  2 -> 3 [size =\"29988864\"]\n  3 [size=\"153118720\", alpha=\"0.07\", expect_size=\"45935616\"] \n  3 -> 4 [size =\"45935616\"]\n  4 [size=\"79735467\", alpha=\"0.14\", expect_size=\"23920640\"] \n  4 -> 5 [size =\"23920640\"]\n  5 [size=\"172840960\", alpha=\"0.16\", expect_size=\"51852288\"] \n  5 -> 6 [size =\"51852288\"]\n  5 -> 7 [size =\"51852288\"]\n  6 [size=\"54183253\", alpha=\"0.06\", expect_size=\"16254976\"] \n  6 -> 8 [size =\"16254976\"]\n  7 [size=\"93962240\", alpha=\"0.15\", expect_size=\"28188672\"] \n  7 -> 9 [size =\"28188672\"]\n  8 [size=\"132959573\", alpha=\"0.12\", expect_size=\"39887872\"] \n  8 -> 10 [size =\"39887872\"]\n  9 [size=\"28982613\", alpha=\"0.17\", expect_size=\"8694784\"] \n  10 [size=\"65078613\", alpha=\"0.18\", expect_size=\"19523584\"] \n  10 -> 11 [size =\"19523584\"]\n  10 -> 12 [size =\"19523584\"]\n  11 [size=\"163382613\", alpha=\"0.13\", expect_size=\"49014784\"] \n  11 -> 13 [size =\"49014784\"]\n  11 -> 14 [size =\"49014784\"]\n  12 [size=\"135533227\", alpha=\"0.16\", expect_size=\"40659968\"] \n  12 -> 13 [size =\"40659968\"]\n  13 [size=\"133553493\", alpha=\"0.03\", expect_size=\"40066048\"] \n  14 [size=\"32017067\", alpha=\"0.09\", expect_size=\"9605120\"] \n  14 -> 15 [size =\"9605120\"]\n  15 [size=\"140871680\", alpha=\"0.06\", expect_size=\"42261504\"] \n  15 -> 16 [size =\"42261504\"]\n  16 [size=\"112223573\", alpha=\"0.04\", expect_size=\"33667072\"] \n  16 -> 17 [size =\"33667072\"]\n  16 -> 18 [size =\"33667072\"]\n  17 [size=\"161887573\", alpha=\"0.09\", expect_size=\"48566272\"] \n  17 -> 19 [size =\"48566272\"]\n  18 [size=\"122337280\", alpha=\"0.00\", expect_size=\"36701184\"] \n  19 [size=\"58245120\", alpha=\"0.11\", expect_size=\"17473536\"] \n  19 -> 20 [size =\"17473536\"]\n  20 [size=\"31416320\", alpha=\"0.16\", expect_size=\"9424896\"] \n  20 -> 21 [size =\"9424896\"]\n  21 [size=\"18363733\", alpha=\"0.04\", expect_size=\"5509120\"] \n  21 -> 22 [size =\"5509120\"]\n  22 [size=\"123948373\", alpha=\"0.04\", expect_size=\"37184512\"] \n  22 -> 23 [size =\"37184512\"]\n  23 [size=\"92484267\", alpha=\"0.00\", expect_size=\"27745280\"] \n  23 -> 24 [size =\"27745280\"]\n  24 [size=\"118319787\", alpha=\"0.05\", expect_size=\"35495936\"] \n  24 -> 25 [size =\"35495936\"]\n  24 -> 26 [size =\"35495936\"]\n  25 [size=\"30214827\", alpha=\"0.09\", expect_size=\"9064448\"] \n  26 [size=\"79411200\", alpha=\"0.18\", expect_size=\"23823360\"] \n  26 -> 27 [size =\"23823360\"]\n  27 [size=\"107540480\", alpha=\"0.16\", expect_size=\"32262144\"] \n  27 -> 28 [size =\"32262144\"]\n  27 -> 29 [size =\"32262144\"]\n  28 [size=\"18432000\", alpha=\"0.10\", expect_size=\"5529600\"] \n  28 -> 30 [size =\"5529600\"]\n  29 [size=\"21353813\", alpha=\"0.04\", expect_size=\"6406144\"] \n  29 -> 30 [size =\"6406144\"]\n  30 [size=\"107509760\", alpha=\"0.05\", expect_size=\"32252928\"] \n  30 -> 31 [size =\"32252928\"]\n  31 [size=\"72994133\", alpha=\"0.05\", expect_size=\"21898240\"] \n  31 -> 32 [size =\"21898240\"]\n  31 -> 33 [size =\"21898240\"]\n  32 [size=\"107697493\", alpha=\"0.19\", expect_size=\"32309248\"] \n  32 -> 34 [size =\"32309248\"]\n  33 [size=\"136816640\", alpha=\"0.08\", expect_size=\"41044992\"] \n  33 -> 34 [size =\"41044992\"]\n  34 [size=\"138711040\", alpha=\"0.19\", expect_size=\"41613312\"] \n  34 -> 35 [size =\"41613312\"]\n  35 [size=\"18356907\", alpha=\"0.06\", expect_size=\"5507072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99622912\", alpha=\"0.05\", expect_size=\"49811456\"] \n  1 -> 25 [size =\"49811456\"]\n  1 -> 28 [size =\"49811456\"]\n  1 -> 29 [size =\"49811456\"]\n  1 -> 33 [size =\"49811456\"]\n  2 [size=\"55476224\", alpha=\"0.19\", expect_size=\"27738112\"] \n  2 -> 26 [size =\"27738112\"]\n  2 -> 28 [size =\"27738112\"]\n  2 -> 29 [size =\"27738112\"]\n  2 -> 30 [size =\"27738112\"]\n  2 -> 32 [size =\"27738112\"]\n  3 [size=\"29831168\", alpha=\"0.13\", expect_size=\"14915584\"] \n  3 -> 25 [size =\"14915584\"]\n  3 -> 26 [size =\"14915584\"]\n  3 -> 28 [size =\"14915584\"]\n  3 -> 30 [size =\"14915584\"]\n  3 -> 31 [size =\"14915584\"]\n  4 [size=\"64468992\", alpha=\"0.12\", expect_size=\"32234496\"] \n  4 -> 25 [size =\"32234496\"]\n  4 -> 30 [size =\"32234496\"]\n  4 -> 31 [size =\"32234496\"]\n  4 -> 32 [size =\"32234496\"]\n  4 -> 33 [size =\"32234496\"]\n  4 -> 35 [size =\"32234496\"]\n  5 [size=\"33085440\", alpha=\"0.06\", expect_size=\"16542720\"] \n  5 -> 26 [size =\"16542720\"]\n  5 -> 27 [size =\"16542720\"]\n  5 -> 30 [size =\"16542720\"]\n  5 -> 33 [size =\"16542720\"]\n  5 -> 34 [size =\"16542720\"]\n  6 [size=\"84162560\", alpha=\"0.14\", expect_size=\"42081280\"] \n  6 -> 26 [size =\"42081280\"]\n  6 -> 27 [size =\"42081280\"]\n  6 -> 28 [size =\"42081280\"]\n  6 -> 30 [size =\"42081280\"]\n  6 -> 33 [size =\"42081280\"]\n  6 -> 35 [size =\"42081280\"]\n  7 [size=\"103825408\", alpha=\"0.13\", expect_size=\"51912704\"] \n  7 -> 25 [size =\"51912704\"]\n  7 -> 27 [size =\"51912704\"]\n  7 -> 30 [size =\"51912704\"]\n  7 -> 33 [size =\"51912704\"]\n  7 -> 34 [size =\"51912704\"]\n  8 [size=\"55648256\", alpha=\"0.11\", expect_size=\"27824128\"] \n  8 -> 27 [size =\"27824128\"]\n  8 -> 28 [size =\"27824128\"]\n  8 -> 32 [size =\"27824128\"]\n  8 -> 33 [size =\"27824128\"]\n  9 [size=\"62687232\", alpha=\"0.19\", expect_size=\"31343616\"] \n  9 -> 29 [size =\"31343616\"]\n  9 -> 31 [size =\"31343616\"]\n  9 -> 32 [size =\"31343616\"]\n  9 -> 33 [size =\"31343616\"]\n  10 [size=\"101220352\", alpha=\"0.11\", expect_size=\"50610176\"] \n  10 -> 25 [size =\"50610176\"]\n  10 -> 31 [size =\"50610176\"]\n  11 [size=\"100587520\", alpha=\"0.08\", expect_size=\"50293760\"] \n  11 -> 27 [size =\"50293760\"]\n  11 -> 28 [size =\"50293760\"]\n  11 -> 31 [size =\"50293760\"]\n  11 -> 33 [size =\"50293760\"]\n  12 [size=\"28715008\", alpha=\"0.11\", expect_size=\"14357504\"] \n  12 -> 30 [size =\"14357504\"]\n  12 -> 31 [size =\"14357504\"]\n  12 -> 33 [size =\"14357504\"]\n  13 [size=\"22269952\", alpha=\"0.07\", expect_size=\"11134976\"] \n  13 -> 26 [size =\"11134976\"]\n  13 -> 27 [size =\"11134976\"]\n  13 -> 28 [size =\"11134976\"]\n  13 -> 29 [size =\"11134976\"]\n  13 -> 30 [size =\"11134976\"]\n  13 -> 31 [size =\"11134976\"]\n  13 -> 32 [size =\"11134976\"]\n  13 -> 35 [size =\"11134976\"]\n  14 [size=\"83570688\", alpha=\"0.03\", expect_size=\"41785344\"] \n  14 -> 27 [size =\"41785344\"]\n  14 -> 27 [size =\"41785344\"]\n  14 -> 29 [size =\"41785344\"]\n  14 -> 29 [size =\"41785344\"]\n  14 -> 30 [size =\"41785344\"]\n  14 -> 32 [size =\"41785344\"]\n  15 [size=\"46508032\", alpha=\"0.09\", expect_size=\"23254016\"] \n  15 -> 26 [size =\"23254016\"]\n  15 -> 28 [size =\"23254016\"]\n  15 -> 29 [size =\"23254016\"]\n  15 -> 35 [size =\"23254016\"]\n  16 [size=\"75104256\", alpha=\"0.03\", expect_size=\"37552128\"] \n  16 -> 26 [size =\"37552128\"]\n  16 -> 28 [size =\"37552128\"]\n  16 -> 29 [size =\"37552128\"]\n  16 -> 30 [size =\"37552128\"]\n  16 -> 32 [size =\"37552128\"]\n  16 -> 34 [size =\"37552128\"]\n  16 -> 35 [size =\"37552128\"]\n  17 [size=\"44529664\", alpha=\"0.04\", expect_size=\"22264832\"] \n  17 -> 27 [size =\"22264832\"]\n  17 -> 28 [size =\"22264832\"]\n  17 -> 29 [size =\"22264832\"]\n  17 -> 33 [size =\"22264832\"]\n  17 -> 35 [size =\"22264832\"]\n  18 [size=\"11728896\", alpha=\"0.08\", expect_size=\"5864448\"] \n  18 -> 26 [size =\"5864448\"]\n  18 -> 27 [size =\"5864448\"]\n  18 -> 29 [size =\"5864448\"]\n  18 -> 30 [size =\"5864448\"]\n  18 -> 35 [size =\"5864448\"]\n  19 [size=\"64378880\", alpha=\"0.10\", expect_size=\"32189440\"] \n  19 -> 25 [size =\"32189440\"]\n  19 -> 26 [size =\"32189440\"]\n  19 -> 29 [size =\"32189440\"]\n  19 -> 33 [size =\"32189440\"]\n  19 -> 35 [size =\"32189440\"]\n  20 [size=\"59947008\", alpha=\"0.15\", expect_size=\"29973504\"] \n  20 -> 26 [size =\"29973504\"]\n  20 -> 26 [size =\"29973504\"]\n  20 -> 27 [size =\"29973504\"]\n  20 -> 35 [size =\"29973504\"]\n  21 [size=\"17139712\", alpha=\"0.19\", expect_size=\"8569856\"] \n  21 -> 26 [size =\"8569856\"]\n  21 -> 30 [size =\"8569856\"]\n  21 -> 35 [size =\"8569856\"]\n  22 [size=\"57227264\", alpha=\"0.13\", expect_size=\"28613632\"] \n  22 -> 26 [size =\"28613632\"]\n  22 -> 33 [size =\"28613632\"]\n  22 -> 35 [size =\"28613632\"]\n  23 [size=\"15794176\", alpha=\"0.11\", expect_size=\"7897088\"] \n  23 -> 25 [size =\"7897088\"]\n  23 -> 28 [size =\"7897088\"]\n  23 -> 29 [size =\"7897088\"]\n  23 -> 31 [size =\"7897088\"]\n  24 [size=\"47020032\", alpha=\"0.00\", expect_size=\"23510016\"] \n  24 -> 25 [size =\"23510016\"]\n  24 -> 26 [size =\"23510016\"]\n  24 -> 29 [size =\"23510016\"]\n  24 -> 30 [size =\"23510016\"]\n  24 -> 32 [size =\"23510016\"]\n  24 -> 33 [size =\"23510016\"]\n  24 -> 35 [size =\"23510016\"]\n  25 [size=\"59310080\", alpha=\"0.14\", expect_size=\"29655040\"] \n  26 [size=\"101040128\", alpha=\"0.04\", expect_size=\"50520064\"] \n  27 [size=\"22130688\", alpha=\"0.13\", expect_size=\"11065344\"] \n  28 [size=\"43063296\", alpha=\"0.12\", expect_size=\"21531648\"] \n  29 [size=\"79951872\", alpha=\"0.02\", expect_size=\"39975936\"] \n  30 [size=\"32421888\", alpha=\"0.12\", expect_size=\"16210944\"] \n  31 [size=\"104255488\", alpha=\"0.00\", expect_size=\"52127744\"] \n  32 [size=\"101478400\", alpha=\"0.12\", expect_size=\"50739200\"] \n  33 [size=\"69083136\", alpha=\"0.07\", expect_size=\"34541568\"] \n  34 [size=\"26413056\", alpha=\"0.18\", expect_size=\"13206528\"] \n  35 [size=\"27455488\", alpha=\"0.15\", expect_size=\"13727744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17500160\", alpha=\"0.03\", expect_size=\"5250048\"] \n  1 -> 2 [size =\"5250048\"]\n  2 [size=\"115196587\", alpha=\"0.09\", expect_size=\"34558976\"] \n  2 -> 3 [size =\"34558976\"]\n  3 [size=\"166280533\", alpha=\"0.10\", expect_size=\"49884160\"] \n  3 -> 4 [size =\"49884160\"]\n  4 [size=\"105338880\", alpha=\"0.07\", expect_size=\"31601664\"] \n  4 -> 5 [size =\"31601664\"]\n  4 -> 6 [size =\"31601664\"]\n  5 [size=\"109847893\", alpha=\"0.16\", expect_size=\"32954368\"] \n  5 -> 7 [size =\"32954368\"]\n  6 [size=\"58951680\", alpha=\"0.18\", expect_size=\"17685504\"] \n  6 -> 8 [size =\"17685504\"]\n  7 [size=\"93521920\", alpha=\"0.03\", expect_size=\"28056576\"] \n  7 -> 9 [size =\"28056576\"]\n  8 [size=\"42639360\", alpha=\"0.05\", expect_size=\"12791808\"] \n  8 -> 10 [size =\"12791808\"]\n  9 [size=\"44445013\", alpha=\"0.09\", expect_size=\"13333504\"] \n  10 [size=\"55709013\", alpha=\"0.12\", expect_size=\"16712704\"] \n  10 -> 11 [size =\"16712704\"]\n  11 [size=\"139424427\", alpha=\"0.12\", expect_size=\"41827328\"] \n  11 -> 12 [size =\"41827328\"]\n  12 [size=\"164017493\", alpha=\"0.13\", expect_size=\"49205248\"] \n  12 -> 13 [size =\"49205248\"]\n  13 [size=\"80592213\", alpha=\"0.14\", expect_size=\"24177664\"] \n  13 -> 14 [size =\"24177664\"]\n  13 -> 15 [size =\"24177664\"]\n  14 [size=\"157969067\", alpha=\"0.15\", expect_size=\"47390720\"] \n  15 [size=\"56504320\", alpha=\"0.01\", expect_size=\"16951296\"] \n  15 -> 16 [size =\"16951296\"]\n  15 -> 17 [size =\"16951296\"]\n  16 [size=\"25053867\", alpha=\"0.06\", expect_size=\"7516160\"] \n  17 [size=\"168089600\", alpha=\"0.16\", expect_size=\"50426880\"] \n  17 -> 18 [size =\"50426880\"]\n  18 [size=\"34368853\", alpha=\"0.02\", expect_size=\"10310656\"] \n  18 -> 19 [size =\"10310656\"]\n  19 [size=\"76776107\", alpha=\"0.01\", expect_size=\"23032832\"] \n  19 -> 20 [size =\"23032832\"]\n  20 [size=\"147667627\", alpha=\"0.05\", expect_size=\"44300288\"] \n  20 -> 21 [size =\"44300288\"]\n  21 [size=\"84336640\", alpha=\"0.09\", expect_size=\"25300992\"] \n  21 -> 22 [size =\"25300992\"]\n  21 -> 23 [size =\"25300992\"]\n  22 [size=\"24050347\", alpha=\"0.06\", expect_size=\"7215104\"] \n  22 -> 24 [size =\"7215104\"]\n  23 [size=\"125023573\", alpha=\"0.01\", expect_size=\"37507072\"] \n  23 -> 25 [size =\"37507072\"]\n  24 [size=\"81571840\", alpha=\"0.07\", expect_size=\"24471552\"] \n  24 -> 26 [size =\"24471552\"]\n  25 [size=\"39417173\", alpha=\"0.06\", expect_size=\"11825152\"] \n  26 [size=\"49793707\", alpha=\"0.09\", expect_size=\"14938112\"] \n  26 -> 27 [size =\"14938112\"]\n  27 [size=\"98167467\", alpha=\"0.03\", expect_size=\"29450240\"] \n  27 -> 28 [size =\"29450240\"]\n  27 -> 29 [size =\"29450240\"]\n  28 [size=\"64474453\", alpha=\"0.19\", expect_size=\"19342336\"] \n  29 [size=\"78639787\", alpha=\"0.19\", expect_size=\"23591936\"] \n  29 -> 30 [size =\"23591936\"]\n  30 [size=\"86179840\", alpha=\"0.04\", expect_size=\"25853952\"] \n  30 -> 31 [size =\"25853952\"]\n  31 [size=\"125501440\", alpha=\"0.04\", expect_size=\"37650432\"] \n  31 -> 32 [size =\"37650432\"]\n  32 [size=\"39342080\", alpha=\"0.03\", expect_size=\"11802624\"] \n  32 -> 33 [size =\"11802624\"]\n  33 [size=\"82711893\", alpha=\"0.10\", expect_size=\"24813568\"] \n  33 -> 34 [size =\"24813568\"]\n  33 -> 35 [size =\"24813568\"]\n  34 [size=\"89842347\", alpha=\"0.15\", expect_size=\"26952704\"] \n  35 [size=\"148602880\", alpha=\"0.04\", expect_size=\"44580864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170141013\", alpha=\"0.02\", expect_size=\"51042304\"] \n  1 -> 12 [size =\"51042304\"]\n  2 [size=\"112947200\", alpha=\"0.02\", expect_size=\"33884160\"] \n  2 -> 7 [size =\"33884160\"]\n  2 -> 12 [size =\"33884160\"]\n  2 -> 14 [size =\"33884160\"]\n  2 -> 19 [size =\"33884160\"]\n  3 [size=\"124678827\", alpha=\"0.08\", expect_size=\"37403648\"] \n  3 -> 8 [size =\"37403648\"]\n  3 -> 10 [size =\"37403648\"]\n  3 -> 11 [size =\"37403648\"]\n  3 -> 19 [size =\"37403648\"]\n  4 [size=\"65805653\", alpha=\"0.13\", expect_size=\"19741696\"] \n  4 -> 9 [size =\"19741696\"]\n  4 -> 13 [size =\"19741696\"]\n  4 -> 14 [size =\"19741696\"]\n  4 -> 15 [size =\"19741696\"]\n  4 -> 16 [size =\"19741696\"]\n  4 -> 18 [size =\"19741696\"]\n  5 [size=\"20780373\", alpha=\"0.20\", expect_size=\"6234112\"] \n  5 -> 10 [size =\"6234112\"]\n  5 -> 12 [size =\"6234112\"]\n  5 -> 14 [size =\"6234112\"]\n  5 -> 15 [size =\"6234112\"]\n  5 -> 16 [size =\"6234112\"]\n  5 -> 17 [size =\"6234112\"]\n  5 -> 19 [size =\"6234112\"]\n  6 [size=\"145418240\", alpha=\"0.15\", expect_size=\"43625472\"] \n  6 -> 7 [size =\"43625472\"]\n  6 -> 10 [size =\"43625472\"]\n  6 -> 11 [size =\"43625472\"]\n  6 -> 12 [size =\"43625472\"]\n  6 -> 14 [size =\"43625472\"]\n  6 -> 16 [size =\"43625472\"]\n  7 [size=\"88582827\", alpha=\"0.12\", expect_size=\"26574848\"] \n  7 -> 21 [size =\"26574848\"]\n  7 -> 22 [size =\"26574848\"]\n  7 -> 27 [size =\"26574848\"]\n  7 -> 30 [size =\"26574848\"]\n  8 [size=\"168741547\", alpha=\"0.18\", expect_size=\"50622464\"] \n  8 -> 21 [size =\"50622464\"]\n  8 -> 26 [size =\"50622464\"]\n  8 -> 29 [size =\"50622464\"]\n  8 -> 30 [size =\"50622464\"]\n  8 -> 32 [size =\"50622464\"]\n  9 [size=\"144517120\", alpha=\"0.05\", expect_size=\"43355136\"] \n  9 -> 21 [size =\"43355136\"]\n  9 -> 22 [size =\"43355136\"]\n  9 -> 23 [size =\"43355136\"]\n  9 -> 28 [size =\"43355136\"]\n  9 -> 30 [size =\"43355136\"]\n  9 -> 31 [size =\"43355136\"]\n  10 [size=\"148394667\", alpha=\"0.18\", expect_size=\"44518400\"] \n  10 -> 20 [size =\"44518400\"]\n  10 -> 24 [size =\"44518400\"]\n  10 -> 26 [size =\"44518400\"]\n  10 -> 29 [size =\"44518400\"]\n  11 [size=\"94347947\", alpha=\"0.05\", expect_size=\"28304384\"] \n  11 -> 24 [size =\"28304384\"]\n  11 -> 24 [size =\"28304384\"]\n  11 -> 25 [size =\"28304384\"]\n  11 -> 26 [size =\"28304384\"]\n  11 -> 32 [size =\"28304384\"]\n  12 [size=\"106584747\", alpha=\"0.03\", expect_size=\"31975424\"] \n  12 -> 21 [size =\"31975424\"]\n  12 -> 28 [size =\"31975424\"]\n  12 -> 29 [size =\"31975424\"]\n  13 [size=\"123265707\", alpha=\"0.08\", expect_size=\"36979712\"] \n  13 -> 22 [size =\"36979712\"]\n  13 -> 25 [size =\"36979712\"]\n  13 -> 30 [size =\"36979712\"]\n  13 -> 32 [size =\"36979712\"]\n  14 [size=\"29218133\", alpha=\"0.12\", expect_size=\"8765440\"] \n  14 -> 25 [size =\"8765440\"]\n  14 -> 26 [size =\"8765440\"]\n  14 -> 27 [size =\"8765440\"]\n  14 -> 28 [size =\"8765440\"]\n  14 -> 30 [size =\"8765440\"]\n  14 -> 32 [size =\"8765440\"]\n  15 [size=\"131143680\", alpha=\"0.09\", expect_size=\"39343104\"] \n  15 -> 24 [size =\"39343104\"]\n  15 -> 28 [size =\"39343104\"]\n  15 -> 32 [size =\"39343104\"]\n  16 [size=\"129942187\", alpha=\"0.04\", expect_size=\"38982656\"] \n  16 -> 21 [size =\"38982656\"]\n  16 -> 26 [size =\"38982656\"]\n  17 [size=\"94248960\", alpha=\"0.13\", expect_size=\"28274688\"] \n  17 -> 31 [size =\"28274688\"]\n  18 [size=\"29132800\", alpha=\"0.11\", expect_size=\"8739840\"] \n  18 -> 24 [size =\"8739840\"]\n  18 -> 26 [size =\"8739840\"]\n  18 -> 27 [size =\"8739840\"]\n  18 -> 29 [size =\"8739840\"]\n  18 -> 31 [size =\"8739840\"]\n  18 -> 32 [size =\"8739840\"]\n  19 [size=\"168546987\", alpha=\"0.15\", expect_size=\"50564096\"] \n  19 -> 21 [size =\"50564096\"]\n  19 -> 24 [size =\"50564096\"]\n  19 -> 29 [size =\"50564096\"]\n  19 -> 29 [size =\"50564096\"]\n  19 -> 30 [size =\"50564096\"]\n  19 -> 31 [size =\"50564096\"]\n  20 [size=\"47144960\", alpha=\"0.12\", expect_size=\"14143488\"] \n  21 [size=\"28811947\", alpha=\"0.09\", expect_size=\"8643584\"] \n  21 -> 33 [size =\"8643584\"]\n  21 -> 34 [size =\"8643584\"]\n  21 -> 35 [size =\"8643584\"]\n  22 [size=\"67109547\", alpha=\"0.17\", expect_size=\"20132864\"] \n  22 -> 33 [size =\"20132864\"]\n  22 -> 34 [size =\"20132864\"]\n  23 [size=\"93890560\", alpha=\"0.19\", expect_size=\"28167168\"] \n  24 [size=\"155125760\", alpha=\"0.08\", expect_size=\"46537728\"] \n  24 -> 33 [size =\"46537728\"]\n  24 -> 34 [size =\"46537728\"]\n  25 [size=\"91289600\", alpha=\"0.16\", expect_size=\"27386880\"] \n  25 -> 33 [size =\"27386880\"]\n  25 -> 34 [size =\"27386880\"]\n  26 [size=\"158935040\", alpha=\"0.02\", expect_size=\"47680512\"] \n  26 -> 33 [size =\"47680512\"]\n  26 -> 34 [size =\"47680512\"]\n  27 [size=\"34003627\", alpha=\"0.16\", expect_size=\"10201088\"] \n  27 -> 34 [size =\"10201088\"]\n  28 [size=\"138516480\", alpha=\"0.09\", expect_size=\"41554944\"] \n  28 -> 33 [size =\"41554944\"]\n  28 -> 34 [size =\"41554944\"]\n  28 -> 35 [size =\"41554944\"]\n  29 [size=\"67812693\", alpha=\"0.18\", expect_size=\"20343808\"] \n  29 -> 33 [size =\"20343808\"]\n  29 -> 35 [size =\"20343808\"]\n  29 -> 35 [size =\"20343808\"]\n  30 [size=\"29856427\", alpha=\"0.04\", expect_size=\"8956928\"] \n  31 [size=\"125706240\", alpha=\"0.00\", expect_size=\"37711872\"] \n  31 -> 34 [size =\"37711872\"]\n  32 [size=\"36167680\", alpha=\"0.08\", expect_size=\"10850304\"] \n  33 [size=\"171284480\", alpha=\"0.08\", expect_size=\"51385344\"] \n  34 [size=\"166406827\", alpha=\"0.10\", expect_size=\"49922048\"] \n  35 [size=\"69860693\", alpha=\"0.07\", expect_size=\"20958208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66391040\", alpha=\"0.09\", expect_size=\"26556416\"] \n  1 -> 29 [size =\"26556416\"]\n  1 -> 31 [size =\"26556416\"]\n  1 -> 34 [size =\"26556416\"]\n  2 [size=\"19975680\", alpha=\"0.10\", expect_size=\"7990272\"] \n  2 -> 29 [size =\"7990272\"]\n  2 -> 30 [size =\"7990272\"]\n  2 -> 31 [size =\"7990272\"]\n  2 -> 33 [size =\"7990272\"]\n  2 -> 34 [size =\"7990272\"]\n  3 [size=\"42826240\", alpha=\"0.19\", expect_size=\"17130496\"] \n  3 -> 29 [size =\"17130496\"]\n  3 -> 35 [size =\"17130496\"]\n  4 [size=\"14031360\", alpha=\"0.03\", expect_size=\"5612544\"] \n  4 -> 31 [size =\"5612544\"]\n  5 [size=\"79290880\", alpha=\"0.12\", expect_size=\"31716352\"] \n  5 -> 33 [size =\"31716352\"]\n  5 -> 34 [size =\"31716352\"]\n  6 [size=\"38108160\", alpha=\"0.02\", expect_size=\"15243264\"] \n  6 -> 29 [size =\"15243264\"]\n  6 -> 30 [size =\"15243264\"]\n  6 -> 34 [size =\"15243264\"]\n  6 -> 35 [size =\"15243264\"]\n  7 [size=\"23641600\", alpha=\"0.05\", expect_size=\"9456640\"] \n  7 -> 29 [size =\"9456640\"]\n  8 [size=\"59537920\", alpha=\"0.20\", expect_size=\"23815168\"] \n  8 -> 30 [size =\"23815168\"]\n  8 -> 34 [size =\"23815168\"]\n  9 [size=\"53368320\", alpha=\"0.14\", expect_size=\"21347328\"] \n  9 -> 29 [size =\"21347328\"]\n  9 -> 31 [size =\"21347328\"]\n  10 [size=\"92597760\", alpha=\"0.11\", expect_size=\"37039104\"] \n  10 -> 34 [size =\"37039104\"]\n  10 -> 35 [size =\"37039104\"]\n  11 [size=\"126190080\", alpha=\"0.01\", expect_size=\"50476032\"] \n  11 -> 35 [size =\"50476032\"]\n  11 -> 35 [size =\"50476032\"]\n  12 [size=\"63449600\", alpha=\"0.10\", expect_size=\"25379840\"] \n  12 -> 32 [size =\"25379840\"]\n  12 -> 35 [size =\"25379840\"]\n  13 [size=\"123051520\", alpha=\"0.05\", expect_size=\"49220608\"] \n  13 -> 31 [size =\"49220608\"]\n  13 -> 34 [size =\"49220608\"]\n  14 [size=\"117662720\", alpha=\"0.16\", expect_size=\"47065088\"] \n  14 -> 29 [size =\"47065088\"]\n  15 [size=\"17623040\", alpha=\"0.04\", expect_size=\"7049216\"] \n  15 -> 29 [size =\"7049216\"]\n  15 -> 35 [size =\"7049216\"]\n  16 [size=\"87032320\", alpha=\"0.05\", expect_size=\"34812928\"] \n  16 -> 30 [size =\"34812928\"]\n  16 -> 31 [size =\"34812928\"]\n  16 -> 33 [size =\"34812928\"]\n  16 -> 35 [size =\"34812928\"]\n  17 [size=\"100520960\", alpha=\"0.15\", expect_size=\"40208384\"] \n  17 -> 31 [size =\"40208384\"]\n  18 [size=\"14696960\", alpha=\"0.00\", expect_size=\"5878784\"] \n  18 -> 31 [size =\"5878784\"]\n  18 -> 32 [size =\"5878784\"]\n  18 -> 34 [size =\"5878784\"]\n  19 [size=\"13434880\", alpha=\"0.13\", expect_size=\"5373952\"] \n  19 -> 30 [size =\"5373952\"]\n  20 [size=\"98158080\", alpha=\"0.15\", expect_size=\"39263232\"] \n  20 -> 30 [size =\"39263232\"]\n  21 [size=\"43353600\", alpha=\"0.06\", expect_size=\"17341440\"] \n  21 -> 33 [size =\"17341440\"]\n  21 -> 34 [size =\"17341440\"]\n  21 -> 35 [size =\"17341440\"]\n  22 [size=\"47459840\", alpha=\"0.17\", expect_size=\"18983936\"] \n  22 -> 34 [size =\"18983936\"]\n  23 [size=\"106933760\", alpha=\"0.14\", expect_size=\"42773504\"] \n  23 -> 29 [size =\"42773504\"]\n  23 -> 32 [size =\"42773504\"]\n  23 -> 35 [size =\"42773504\"]\n  24 [size=\"16773120\", alpha=\"0.12\", expect_size=\"6709248\"] \n  24 -> 31 [size =\"6709248\"]\n  24 -> 34 [size =\"6709248\"]\n  25 [size=\"109703680\", alpha=\"0.20\", expect_size=\"43881472\"] \n  25 -> 35 [size =\"43881472\"]\n  26 [size=\"14581760\", alpha=\"0.12\", expect_size=\"5832704\"] \n  26 -> 29 [size =\"5832704\"]\n  26 -> 30 [size =\"5832704\"]\n  26 -> 34 [size =\"5832704\"]\n  26 -> 35 [size =\"5832704\"]\n  27 [size=\"46983680\", alpha=\"0.07\", expect_size=\"18793472\"] \n  27 -> 29 [size =\"18793472\"]\n  27 -> 32 [size =\"18793472\"]\n  27 -> 34 [size =\"18793472\"]\n  28 [size=\"19284480\", alpha=\"0.09\", expect_size=\"7713792\"] \n  28 -> 29 [size =\"7713792\"]\n  28 -> 33 [size =\"7713792\"]\n  28 -> 34 [size =\"7713792\"]\n  29 [size=\"19714560\", alpha=\"0.18\", expect_size=\"7885824\"] \n  30 [size=\"97077760\", alpha=\"0.01\", expect_size=\"38831104\"] \n  31 [size=\"66526720\", alpha=\"0.02\", expect_size=\"26610688\"] \n  32 [size=\"99312640\", alpha=\"0.12\", expect_size=\"39725056\"] \n  33 [size=\"84339200\", alpha=\"0.01\", expect_size=\"33735680\"] \n  34 [size=\"51325440\", alpha=\"0.08\", expect_size=\"20530176\"] \n  35 [size=\"119162880\", alpha=\"0.15\", expect_size=\"47665152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85544960\", alpha=\"0.06\", expect_size=\"42772480\"] \n  1 -> 19 [size =\"42772480\"]\n  1 -> 20 [size =\"42772480\"]\n  1 -> 22 [size =\"42772480\"]\n  1 -> 23 [size =\"42772480\"]\n  2 [size=\"85823488\", alpha=\"0.11\", expect_size=\"42911744\"] \n  2 -> 15 [size =\"42911744\"]\n  2 -> 20 [size =\"42911744\"]\n  3 [size=\"36300800\", alpha=\"0.11\", expect_size=\"18150400\"] \n  3 -> 16 [size =\"18150400\"]\n  3 -> 19 [size =\"18150400\"]\n  3 -> 20 [size =\"18150400\"]\n  4 [size=\"29589504\", alpha=\"0.04\", expect_size=\"14794752\"] \n  4 -> 13 [size =\"14794752\"]\n  4 -> 17 [size =\"14794752\"]\n  4 -> 18 [size =\"14794752\"]\n  4 -> 20 [size =\"14794752\"]\n  4 -> 22 [size =\"14794752\"]\n  4 -> 23 [size =\"14794752\"]\n  5 [size=\"63768576\", alpha=\"0.17\", expect_size=\"31884288\"] \n  5 -> 16 [size =\"31884288\"]\n  5 -> 17 [size =\"31884288\"]\n  5 -> 20 [size =\"31884288\"]\n  5 -> 21 [size =\"31884288\"]\n  5 -> 23 [size =\"31884288\"]\n  5 -> 25 [size =\"31884288\"]\n  6 [size=\"45934592\", alpha=\"0.18\", expect_size=\"22967296\"] \n  6 -> 13 [size =\"22967296\"]\n  6 -> 14 [size =\"22967296\"]\n  6 -> 15 [size =\"22967296\"]\n  6 -> 18 [size =\"22967296\"]\n  6 -> 19 [size =\"22967296\"]\n  6 -> 20 [size =\"22967296\"]\n  6 -> 22 [size =\"22967296\"]\n  6 -> 23 [size =\"22967296\"]\n  6 -> 25 [size =\"22967296\"]\n  7 [size=\"93325312\", alpha=\"0.04\", expect_size=\"46662656\"] \n  7 -> 13 [size =\"46662656\"]\n  7 -> 15 [size =\"46662656\"]\n  7 -> 15 [size =\"46662656\"]\n  7 -> 17 [size =\"46662656\"]\n  7 -> 18 [size =\"46662656\"]\n  7 -> 22 [size =\"46662656\"]\n  8 [size=\"61519872\", alpha=\"0.06\", expect_size=\"30759936\"] \n  8 -> 13 [size =\"30759936\"]\n  8 -> 15 [size =\"30759936\"]\n  8 -> 17 [size =\"30759936\"]\n  8 -> 22 [size =\"30759936\"]\n  8 -> 23 [size =\"30759936\"]\n  8 -> 25 [size =\"30759936\"]\n  9 [size=\"36163584\", alpha=\"0.07\", expect_size=\"18081792\"] \n  9 -> 13 [size =\"18081792\"]\n  9 -> 14 [size =\"18081792\"]\n  9 -> 15 [size =\"18081792\"]\n  9 -> 22 [size =\"18081792\"]\n  9 -> 23 [size =\"18081792\"]\n  9 -> 25 [size =\"18081792\"]\n  10 [size=\"53323776\", alpha=\"0.06\", expect_size=\"26661888\"] \n  10 -> 13 [size =\"26661888\"]\n  10 -> 15 [size =\"26661888\"]\n  10 -> 20 [size =\"26661888\"]\n  10 -> 23 [size =\"26661888\"]\n  10 -> 24 [size =\"26661888\"]\n  11 [size=\"30611456\", alpha=\"0.03\", expect_size=\"15305728\"] \n  11 -> 13 [size =\"15305728\"]\n  11 -> 15 [size =\"15305728\"]\n  11 -> 20 [size =\"15305728\"]\n  11 -> 22 [size =\"15305728\"]\n  11 -> 23 [size =\"15305728\"]\n  11 -> 25 [size =\"15305728\"]\n  12 [size=\"58947584\", alpha=\"0.17\", expect_size=\"29473792\"] \n  12 -> 13 [size =\"29473792\"]\n  12 -> 14 [size =\"29473792\"]\n  12 -> 20 [size =\"29473792\"]\n  12 -> 22 [size =\"29473792\"]\n  12 -> 23 [size =\"29473792\"]\n  13 [size=\"15165440\", alpha=\"0.11\", expect_size=\"7582720\"] \n  13 -> 27 [size =\"7582720\"]\n  13 -> 32 [size =\"7582720\"]\n  13 -> 33 [size =\"7582720\"]\n  13 -> 35 [size =\"7582720\"]\n  14 [size=\"66213888\", alpha=\"0.19\", expect_size=\"33106944\"] \n  14 -> 30 [size =\"33106944\"]\n  14 -> 32 [size =\"33106944\"]\n  14 -> 34 [size =\"33106944\"]\n  15 [size=\"83748864\", alpha=\"0.06\", expect_size=\"41874432\"] \n  15 -> 31 [size =\"41874432\"]\n  15 -> 32 [size =\"41874432\"]\n  16 [size=\"70717440\", alpha=\"0.19\", expect_size=\"35358720\"] \n  16 -> 31 [size =\"35358720\"]\n  16 -> 32 [size =\"35358720\"]\n  17 [size=\"62922752\", alpha=\"0.16\", expect_size=\"31461376\"] \n  17 -> 27 [size =\"31461376\"]\n  17 -> 29 [size =\"31461376\"]\n  17 -> 30 [size =\"31461376\"]\n  17 -> 31 [size =\"31461376\"]\n  17 -> 32 [size =\"31461376\"]\n  17 -> 34 [size =\"31461376\"]\n  18 [size=\"81565696\", alpha=\"0.15\", expect_size=\"40782848\"] \n  18 -> 26 [size =\"40782848\"]\n  18 -> 30 [size =\"40782848\"]\n  18 -> 32 [size =\"40782848\"]\n  18 -> 35 [size =\"40782848\"]\n  19 [size=\"15652864\", alpha=\"0.04\", expect_size=\"7826432\"] \n  19 -> 30 [size =\"7826432\"]\n  19 -> 30 [size =\"7826432\"]\n  19 -> 32 [size =\"7826432\"]\n  19 -> 34 [size =\"7826432\"]\n  19 -> 35 [size =\"7826432\"]\n  20 [size=\"46909440\", alpha=\"0.09\", expect_size=\"23454720\"] \n  20 -> 27 [size =\"23454720\"]\n  20 -> 32 [size =\"23454720\"]\n  20 -> 33 [size =\"23454720\"]\n  20 -> 34 [size =\"23454720\"]\n  20 -> 35 [size =\"23454720\"]\n  21 [size=\"75132928\", alpha=\"0.09\", expect_size=\"37566464\"] \n  21 -> 27 [size =\"37566464\"]\n  21 -> 30 [size =\"37566464\"]\n  21 -> 34 [size =\"37566464\"]\n  22 [size=\"88043520\", alpha=\"0.06\", expect_size=\"44021760\"] \n  22 -> 28 [size =\"44021760\"]\n  22 -> 32 [size =\"44021760\"]\n  23 [size=\"72253440\", alpha=\"0.08\", expect_size=\"36126720\"] \n  23 -> 29 [size =\"36126720\"]\n  24 [size=\"28071936\", alpha=\"0.14\", expect_size=\"14035968\"] \n  24 -> 26 [size =\"14035968\"]\n  24 -> 29 [size =\"14035968\"]\n  24 -> 33 [size =\"14035968\"]\n  24 -> 34 [size =\"14035968\"]\n  25 [size=\"22503424\", alpha=\"0.11\", expect_size=\"11251712\"] \n  25 -> 26 [size =\"11251712\"]\n  25 -> 27 [size =\"11251712\"]\n  25 -> 33 [size =\"11251712\"]\n  25 -> 34 [size =\"11251712\"]\n  26 [size=\"53006336\", alpha=\"0.16\", expect_size=\"26503168\"] \n  27 [size=\"49041408\", alpha=\"0.18\", expect_size=\"24520704\"] \n  28 [size=\"31375360\", alpha=\"0.11\", expect_size=\"15687680\"] \n  29 [size=\"100231168\", alpha=\"0.10\", expect_size=\"50115584\"] \n  30 [size=\"26441728\", alpha=\"0.18\", expect_size=\"13220864\"] \n  31 [size=\"68624384\", alpha=\"0.09\", expect_size=\"34312192\"] \n  32 [size=\"18720768\", alpha=\"0.12\", expect_size=\"9360384\"] \n  33 [size=\"46442496\", alpha=\"0.15\", expect_size=\"23221248\"] \n  34 [size=\"83232768\", alpha=\"0.10\", expect_size=\"41616384\"] \n  35 [size=\"53825536\", alpha=\"0.00\", expect_size=\"26912768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167420587\", alpha=\"0.02\", expect_size=\"50226176\"] \n  1 -> 2 [size =\"50226176\"]\n  2 [size=\"133693440\", alpha=\"0.11\", expect_size=\"40108032\"] \n  2 -> 3 [size =\"40108032\"]\n  3 [size=\"167936000\", alpha=\"0.01\", expect_size=\"50380800\"] \n  3 -> 4 [size =\"50380800\"]\n  4 [size=\"91238400\", alpha=\"0.00\", expect_size=\"27371520\"] \n  4 -> 5 [size =\"27371520\"]\n  5 [size=\"51152213\", alpha=\"0.15\", expect_size=\"15345664\"] \n  5 -> 6 [size =\"15345664\"]\n  6 [size=\"44561067\", alpha=\"0.15\", expect_size=\"13368320\"] \n  6 -> 7 [size =\"13368320\"]\n  7 [size=\"164119893\", alpha=\"0.15\", expect_size=\"49235968\"] \n  7 -> 8 [size =\"49235968\"]\n  8 [size=\"65822720\", alpha=\"0.18\", expect_size=\"19746816\"] \n  8 -> 9 [size =\"19746816\"]\n  9 [size=\"171673600\", alpha=\"0.02\", expect_size=\"51502080\"] \n  9 -> 10 [size =\"51502080\"]\n  10 [size=\"34805760\", alpha=\"0.13\", expect_size=\"10441728\"] \n  10 -> 11 [size =\"10441728\"]\n  11 [size=\"123654827\", alpha=\"0.18\", expect_size=\"37096448\"] \n  11 -> 12 [size =\"37096448\"]\n  12 [size=\"136956587\", alpha=\"0.07\", expect_size=\"41086976\"] \n  12 -> 13 [size =\"41086976\"]\n  13 [size=\"62477653\", alpha=\"0.13\", expect_size=\"18743296\"] \n  13 -> 14 [size =\"18743296\"]\n  14 [size=\"67235840\", alpha=\"0.02\", expect_size=\"20170752\"] \n  14 -> 15 [size =\"20170752\"]\n  15 [size=\"69184853\", alpha=\"0.09\", expect_size=\"20755456\"] \n  15 -> 16 [size =\"20755456\"]\n  16 [size=\"33365333\", alpha=\"0.17\", expect_size=\"10009600\"] \n  16 -> 17 [size =\"10009600\"]\n  17 [size=\"152238080\", alpha=\"0.14\", expect_size=\"45671424\"] \n  17 -> 18 [size =\"45671424\"]\n  18 [size=\"113257813\", alpha=\"0.05\", expect_size=\"33977344\"] \n  18 -> 19 [size =\"33977344\"]\n  19 [size=\"99225600\", alpha=\"0.15\", expect_size=\"29767680\"] \n  19 -> 20 [size =\"29767680\"]\n  20 [size=\"113547947\", alpha=\"0.00\", expect_size=\"34064384\"] \n  20 -> 21 [size =\"34064384\"]\n  21 [size=\"56067413\", alpha=\"0.04\", expect_size=\"16820224\"] \n  21 -> 22 [size =\"16820224\"]\n  22 [size=\"43202560\", alpha=\"0.03\", expect_size=\"12960768\"] \n  22 -> 23 [size =\"12960768\"]\n  23 [size=\"97761280\", alpha=\"0.02\", expect_size=\"29328384\"] \n  23 -> 24 [size =\"29328384\"]\n  24 [size=\"40826880\", alpha=\"0.09\", expect_size=\"12248064\"] \n  24 -> 25 [size =\"12248064\"]\n  25 [size=\"55842133\", alpha=\"0.01\", expect_size=\"16752640\"] \n  25 -> 26 [size =\"16752640\"]\n  26 [size=\"125115733\", alpha=\"0.16\", expect_size=\"37534720\"] \n  26 -> 27 [size =\"37534720\"]\n  27 [size=\"100590933\", alpha=\"0.10\", expect_size=\"30177280\"] \n  27 -> 28 [size =\"30177280\"]\n  28 [size=\"50858667\", alpha=\"0.10\", expect_size=\"15257600\"] \n  28 -> 29 [size =\"15257600\"]\n  29 [size=\"88681813\", alpha=\"0.10\", expect_size=\"26604544\"] \n  29 -> 30 [size =\"26604544\"]\n  30 [size=\"49592320\", alpha=\"0.12\", expect_size=\"14877696\"] \n  30 -> 31 [size =\"14877696\"]\n  31 [size=\"51234133\", alpha=\"0.07\", expect_size=\"15370240\"] \n  31 -> 32 [size =\"15370240\"]\n  32 [size=\"86265173\", alpha=\"0.18\", expect_size=\"25879552\"] \n  32 -> 33 [size =\"25879552\"]\n  33 [size=\"113619627\", alpha=\"0.14\", expect_size=\"34085888\"] \n  33 -> 34 [size =\"34085888\"]\n  34 [size=\"126470827\", alpha=\"0.17\", expect_size=\"37941248\"] \n  34 -> 35 [size =\"37941248\"]\n  35 [size=\"41297920\", alpha=\"0.06\", expect_size=\"12389376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45922304\", alpha=\"0.02\", expect_size=\"22961152\"] \n  1 -> 8 [size =\"22961152\"]\n  2 [size=\"32784384\", alpha=\"0.16\", expect_size=\"16392192\"] \n  2 -> 7 [size =\"16392192\"]\n  2 -> 9 [size =\"16392192\"]\n  3 [size=\"21360640\", alpha=\"0.08\", expect_size=\"10680320\"] \n  3 -> 5 [size =\"10680320\"]\n  3 -> 6 [size =\"10680320\"]\n  3 -> 7 [size =\"10680320\"]\n  4 [size=\"67794944\", alpha=\"0.13\", expect_size=\"33897472\"] \n  4 -> 6 [size =\"33897472\"]\n  5 [size=\"36933632\", alpha=\"0.02\", expect_size=\"18466816\"] \n  5 -> 12 [size =\"18466816\"]\n  5 -> 13 [size =\"18466816\"]\n  6 [size=\"25933824\", alpha=\"0.19\", expect_size=\"12966912\"] \n  6 -> 10 [size =\"12966912\"]\n  6 -> 11 [size =\"12966912\"]\n  6 -> 12 [size =\"12966912\"]\n  7 [size=\"41715712\", alpha=\"0.11\", expect_size=\"20857856\"] \n  7 -> 14 [size =\"20857856\"]\n  7 -> 15 [size =\"20857856\"]\n  8 [size=\"43943936\", alpha=\"0.08\", expect_size=\"21971968\"] \n  8 -> 11 [size =\"21971968\"]\n  8 -> 13 [size =\"21971968\"]\n  8 -> 15 [size =\"21971968\"]\n  9 [size=\"60237824\", alpha=\"0.08\", expect_size=\"30118912\"] \n  9 -> 11 [size =\"30118912\"]\n  9 -> 12 [size =\"30118912\"]\n  9 -> 15 [size =\"30118912\"]\n  10 [size=\"20064256\", alpha=\"0.01\", expect_size=\"10032128\"] \n  10 -> 17 [size =\"10032128\"]\n  10 -> 17 [size =\"10032128\"]\n  10 -> 18 [size =\"10032128\"]\n  10 -> 19 [size =\"10032128\"]\n  11 [size=\"89958400\", alpha=\"0.16\", expect_size=\"44979200\"] \n  11 -> 18 [size =\"44979200\"]\n  12 [size=\"100354048\", alpha=\"0.10\", expect_size=\"50177024\"] \n  12 -> 19 [size =\"50177024\"]\n  12 -> 20 [size =\"50177024\"]\n  13 [size=\"81977344\", alpha=\"0.03\", expect_size=\"40988672\"] \n  13 -> 16 [size =\"40988672\"]\n  13 -> 18 [size =\"40988672\"]\n  13 -> 19 [size =\"40988672\"]\n  14 [size=\"25393152\", alpha=\"0.02\", expect_size=\"12696576\"] \n  15 [size=\"86315008\", alpha=\"0.16\", expect_size=\"43157504\"] \n  15 -> 16 [size =\"43157504\"]\n  15 -> 17 [size =\"43157504\"]\n  16 [size=\"94951424\", alpha=\"0.09\", expect_size=\"47475712\"] \n  16 -> 21 [size =\"47475712\"]\n  16 -> 22 [size =\"47475712\"]\n  17 [size=\"90769408\", alpha=\"0.02\", expect_size=\"45384704\"] \n  17 -> 21 [size =\"45384704\"]\n  17 -> 23 [size =\"45384704\"]\n  18 [size=\"48328704\", alpha=\"0.04\", expect_size=\"24164352\"] \n  18 -> 21 [size =\"24164352\"]\n  18 -> 23 [size =\"24164352\"]\n  18 -> 25 [size =\"24164352\"]\n  19 [size=\"87384064\", alpha=\"0.18\", expect_size=\"43692032\"] \n  19 -> 23 [size =\"43692032\"]\n  19 -> 24 [size =\"43692032\"]\n  20 [size=\"29181952\", alpha=\"0.04\", expect_size=\"14590976\"] \n  21 [size=\"35444736\", alpha=\"0.17\", expect_size=\"17722368\"] \n  21 -> 26 [size =\"17722368\"]\n  22 [size=\"18831360\", alpha=\"0.15\", expect_size=\"9415680\"] \n  22 -> 27 [size =\"9415680\"]\n  23 [size=\"67155968\", alpha=\"0.15\", expect_size=\"33577984\"] \n  24 [size=\"82626560\", alpha=\"0.07\", expect_size=\"41313280\"] \n  25 [size=\"90425344\", alpha=\"0.05\", expect_size=\"45212672\"] \n  25 -> 28 [size =\"45212672\"]\n  25 -> 29 [size =\"45212672\"]\n  25 -> 30 [size =\"45212672\"]\n  26 [size=\"70535168\", alpha=\"0.06\", expect_size=\"35267584\"] \n  26 -> 31 [size =\"35267584\"]\n  27 [size=\"20615168\", alpha=\"0.14\", expect_size=\"10307584\"] \n  27 -> 31 [size =\"10307584\"]\n  27 -> 33 [size =\"10307584\"]\n  28 [size=\"31129600\", alpha=\"0.09\", expect_size=\"15564800\"] \n  28 -> 31 [size =\"15564800\"]\n  28 -> 33 [size =\"15564800\"]\n  28 -> 35 [size =\"15564800\"]\n  29 [size=\"49786880\", alpha=\"0.14\", expect_size=\"24893440\"] \n  29 -> 32 [size =\"24893440\"]\n  30 [size=\"40720384\", alpha=\"0.02\", expect_size=\"20360192\"] \n  30 -> 33 [size =\"20360192\"]\n  30 -> 34 [size =\"20360192\"]\n  31 [size=\"58056704\", alpha=\"0.06\", expect_size=\"29028352\"] \n  32 [size=\"42860544\", alpha=\"0.09\", expect_size=\"21430272\"] \n  33 [size=\"17430528\", alpha=\"0.08\", expect_size=\"8715264\"] \n  34 [size=\"87015424\", alpha=\"0.09\", expect_size=\"43507712\"] \n  35 [size=\"25810944\", alpha=\"0.07\", expect_size=\"12905472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112035840\", alpha=\"0.02\", expect_size=\"33610752\"] \n  1 -> 2 [size =\"33610752\"]\n  2 [size=\"106670080\", alpha=\"0.08\", expect_size=\"32001024\"] \n  2 -> 3 [size =\"32001024\"]\n  3 [size=\"68259840\", alpha=\"0.10\", expect_size=\"20477952\"] \n  3 -> 4 [size =\"20477952\"]\n  4 [size=\"24169813\", alpha=\"0.17\", expect_size=\"7250944\"] \n  4 -> 5 [size =\"7250944\"]\n  5 [size=\"98375680\", alpha=\"0.07\", expect_size=\"29512704\"] \n  5 -> 6 [size =\"29512704\"]\n  6 [size=\"115015680\", alpha=\"0.11\", expect_size=\"34504704\"] \n  6 -> 7 [size =\"34504704\"]\n  7 [size=\"47667200\", alpha=\"0.10\", expect_size=\"14300160\"] \n  7 -> 8 [size =\"14300160\"]\n  8 [size=\"93723307\", alpha=\"0.19\", expect_size=\"28116992\"] \n  8 -> 9 [size =\"28116992\"]\n  9 [size=\"21975040\", alpha=\"0.02\", expect_size=\"6592512\"] \n  9 -> 10 [size =\"6592512\"]\n  10 [size=\"90286080\", alpha=\"0.06\", expect_size=\"27085824\"] \n  10 -> 11 [size =\"27085824\"]\n  11 [size=\"35252907\", alpha=\"0.03\", expect_size=\"10575872\"] \n  11 -> 12 [size =\"10575872\"]\n  12 [size=\"53220693\", alpha=\"0.07\", expect_size=\"15966208\"] \n  12 -> 13 [size =\"15966208\"]\n  13 [size=\"115411627\", alpha=\"0.02\", expect_size=\"34623488\"] \n  13 -> 14 [size =\"34623488\"]\n  14 [size=\"37591040\", alpha=\"0.19\", expect_size=\"11277312\"] \n  14 -> 15 [size =\"11277312\"]\n  15 [size=\"167676587\", alpha=\"0.05\", expect_size=\"50302976\"] \n  15 -> 16 [size =\"50302976\"]\n  16 [size=\"67252907\", alpha=\"0.19\", expect_size=\"20175872\"] \n  16 -> 17 [size =\"20175872\"]\n  17 [size=\"156009813\", alpha=\"0.10\", expect_size=\"46802944\"] \n  17 -> 18 [size =\"46802944\"]\n  18 [size=\"74567680\", alpha=\"0.03\", expect_size=\"22370304\"] \n  18 -> 19 [size =\"22370304\"]\n  19 [size=\"63051093\", alpha=\"0.10\", expect_size=\"18915328\"] \n  19 -> 20 [size =\"18915328\"]\n  20 [size=\"75021653\", alpha=\"0.01\", expect_size=\"22506496\"] \n  20 -> 21 [size =\"22506496\"]\n  21 [size=\"122241707\", alpha=\"0.03\", expect_size=\"36672512\"] \n  21 -> 22 [size =\"36672512\"]\n  22 [size=\"145684480\", alpha=\"0.17\", expect_size=\"43705344\"] \n  22 -> 23 [size =\"43705344\"]\n  23 [size=\"46018560\", alpha=\"0.17\", expect_size=\"13805568\"] \n  23 -> 24 [size =\"13805568\"]\n  24 [size=\"61009920\", alpha=\"0.18\", expect_size=\"18302976\"] \n  24 -> 25 [size =\"18302976\"]\n  25 [size=\"54575787\", alpha=\"0.09\", expect_size=\"16372736\"] \n  25 -> 26 [size =\"16372736\"]\n  26 [size=\"96996693\", alpha=\"0.13\", expect_size=\"29099008\"] \n  26 -> 27 [size =\"29099008\"]\n  27 [size=\"86159360\", alpha=\"0.00\", expect_size=\"25847808\"] \n  27 -> 28 [size =\"25847808\"]\n  28 [size=\"167307947\", alpha=\"0.18\", expect_size=\"50192384\"] \n  28 -> 29 [size =\"50192384\"]\n  29 [size=\"35194880\", alpha=\"0.16\", expect_size=\"10558464\"] \n  29 -> 30 [size =\"10558464\"]\n  30 [size=\"116575573\", alpha=\"0.03\", expect_size=\"34972672\"] \n  30 -> 31 [size =\"34972672\"]\n  31 [size=\"121954987\", alpha=\"0.12\", expect_size=\"36586496\"] \n  31 -> 32 [size =\"36586496\"]\n  32 [size=\"145892693\", alpha=\"0.06\", expect_size=\"43767808\"] \n  32 -> 33 [size =\"43767808\"]\n  33 [size=\"120302933\", alpha=\"0.12\", expect_size=\"36090880\"] \n  33 -> 34 [size =\"36090880\"]\n  34 [size=\"95969280\", alpha=\"0.01\", expect_size=\"28790784\"] \n  34 -> 35 [size =\"28790784\"]\n  35 [size=\"79585280\", alpha=\"0.09\", expect_size=\"23875584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171683840\", alpha=\"0.15\", expect_size=\"51505152\"] \n  1 -> 2 [size =\"51505152\"]\n  2 [size=\"150087680\", alpha=\"0.17\", expect_size=\"45026304\"] \n  2 -> 3 [size =\"45026304\"]\n  3 [size=\"35734187\", alpha=\"0.04\", expect_size=\"10720256\"] \n  3 -> 4 [size =\"10720256\"]\n  4 [size=\"84575573\", alpha=\"0.08\", expect_size=\"25372672\"] \n  4 -> 5 [size =\"25372672\"]\n  5 [size=\"93494613\", alpha=\"0.07\", expect_size=\"28048384\"] \n  5 -> 6 [size =\"28048384\"]\n  5 -> 7 [size =\"28048384\"]\n  6 [size=\"136833707\", alpha=\"0.05\", expect_size=\"41050112\"] \n  7 [size=\"109161813\", alpha=\"0.20\", expect_size=\"32748544\"] \n  7 -> 8 [size =\"32748544\"]\n  8 [size=\"83350187\", alpha=\"0.08\", expect_size=\"25005056\"] \n  8 -> 9 [size =\"25005056\"]\n  9 [size=\"72386560\", alpha=\"0.04\", expect_size=\"21715968\"] \n  9 -> 10 [size =\"21715968\"]\n  10 [size=\"147599360\", alpha=\"0.12\", expect_size=\"44279808\"] \n  10 -> 11 [size =\"44279808\"]\n  10 -> 12 [size =\"44279808\"]\n  11 [size=\"29952000\", alpha=\"0.18\", expect_size=\"8985600\"] \n  12 [size=\"144640000\", alpha=\"0.16\", expect_size=\"43392000\"] \n  12 -> 13 [size =\"43392000\"]\n  13 [size=\"118842027\", alpha=\"0.17\", expect_size=\"35652608\"] \n  13 -> 14 [size =\"35652608\"]\n  13 -> 15 [size =\"35652608\"]\n  14 [size=\"148933973\", alpha=\"0.09\", expect_size=\"44680192\"] \n  14 -> 16 [size =\"44680192\"]\n  15 [size=\"50889387\", alpha=\"0.12\", expect_size=\"15266816\"] \n  15 -> 17 [size =\"15266816\"]\n  16 [size=\"102184960\", alpha=\"0.10\", expect_size=\"30655488\"] \n  16 -> 18 [size =\"30655488\"]\n  17 [size=\"139506347\", alpha=\"0.11\", expect_size=\"41851904\"] \n  17 -> 19 [size =\"41851904\"]\n  18 [size=\"135854080\", alpha=\"0.02\", expect_size=\"40756224\"] \n  19 [size=\"40837120\", alpha=\"0.03\", expect_size=\"12251136\"] \n  19 -> 20 [size =\"12251136\"]\n  20 [size=\"73096533\", alpha=\"0.07\", expect_size=\"21928960\"] \n  20 -> 21 [size =\"21928960\"]\n  20 -> 22 [size =\"21928960\"]\n  21 [size=\"164304213\", alpha=\"0.10\", expect_size=\"49291264\"] \n  21 -> 24 [size =\"49291264\"]\n  22 [size=\"150592853\", alpha=\"0.11\", expect_size=\"45177856\"] \n  22 -> 23 [size =\"45177856\"]\n  23 [size=\"117773653\", alpha=\"0.13\", expect_size=\"35332096\"] \n  23 -> 25 [size =\"35332096\"]\n  24 [size=\"94115840\", alpha=\"0.05\", expect_size=\"28234752\"] \n  25 [size=\"168663040\", alpha=\"0.05\", expect_size=\"50598912\"] \n  25 -> 26 [size =\"50598912\"]\n  26 [size=\"102225920\", alpha=\"0.02\", expect_size=\"30667776\"] \n  26 -> 27 [size =\"30667776\"]\n  26 -> 28 [size =\"30667776\"]\n  27 [size=\"26221227\", alpha=\"0.09\", expect_size=\"7866368\"] \n  28 [size=\"116524373\", alpha=\"0.05\", expect_size=\"34957312\"] \n  28 -> 29 [size =\"34957312\"]\n  29 [size=\"133410133\", alpha=\"0.09\", expect_size=\"40023040\"] \n  29 -> 30 [size =\"40023040\"]\n  29 -> 31 [size =\"40023040\"]\n  30 [size=\"154931200\", alpha=\"0.08\", expect_size=\"46479360\"] \n  31 [size=\"50056533\", alpha=\"0.10\", expect_size=\"15016960\"] \n  31 -> 32 [size =\"15016960\"]\n  32 [size=\"130280107\", alpha=\"0.07\", expect_size=\"39084032\"] \n  32 -> 33 [size =\"39084032\"]\n  33 [size=\"56357547\", alpha=\"0.17\", expect_size=\"16907264\"] \n  33 -> 34 [size =\"16907264\"]\n  34 [size=\"161119573\", alpha=\"0.04\", expect_size=\"48335872\"] \n  34 -> 35 [size =\"48335872\"]\n  35 [size=\"39806293\", alpha=\"0.16\", expect_size=\"11941888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62385493\", alpha=\"0.14\", expect_size=\"18715648\"] \n  2 [size=\"18752853\", alpha=\"0.13\", expect_size=\"5625856\"] \n  2 -> 29 [size =\"5625856\"]\n  3 [size=\"110359893\", alpha=\"0.16\", expect_size=\"33107968\"] \n  4 [size=\"121193813\", alpha=\"0.19\", expect_size=\"36358144\"] \n  4 -> 30 [size =\"36358144\"]\n  4 -> 34 [size =\"36358144\"]\n  5 [size=\"33416533\", alpha=\"0.14\", expect_size=\"10024960\"] \n  5 -> 30 [size =\"10024960\"]\n  5 -> 31 [size =\"10024960\"]\n  5 -> 35 [size =\"10024960\"]\n  6 [size=\"18121387\", alpha=\"0.15\", expect_size=\"5436416\"] \n  6 -> 35 [size =\"5436416\"]\n  7 [size=\"118227627\", alpha=\"0.18\", expect_size=\"35468288\"] \n  7 -> 30 [size =\"35468288\"]\n  7 -> 35 [size =\"35468288\"]\n  8 [size=\"160361813\", alpha=\"0.14\", expect_size=\"48108544\"] \n  8 -> 29 [size =\"48108544\"]\n  8 -> 33 [size =\"48108544\"]\n  8 -> 34 [size =\"48108544\"]\n  8 -> 35 [size =\"48108544\"]\n  9 [size=\"158894080\", alpha=\"0.18\", expect_size=\"47668224\"] \n  9 -> 35 [size =\"47668224\"]\n  10 [size=\"91371520\", alpha=\"0.15\", expect_size=\"27411456\"] \n  10 -> 31 [size =\"27411456\"]\n  10 -> 32 [size =\"27411456\"]\n  10 -> 33 [size =\"27411456\"]\n  10 -> 34 [size =\"27411456\"]\n  11 [size=\"28310187\", alpha=\"0.05\", expect_size=\"8493056\"] \n  11 -> 29 [size =\"8493056\"]\n  11 -> 30 [size =\"8493056\"]\n  11 -> 32 [size =\"8493056\"]\n  12 [size=\"135062187\", alpha=\"0.03\", expect_size=\"40518656\"] \n  12 -> 32 [size =\"40518656\"]\n  13 [size=\"79557973\", alpha=\"0.06\", expect_size=\"23867392\"] \n  13 -> 32 [size =\"23867392\"]\n  13 -> 34 [size =\"23867392\"]\n  14 [size=\"47346347\", alpha=\"0.20\", expect_size=\"14203904\"] \n  14 -> 30 [size =\"14203904\"]\n  14 -> 31 [size =\"14203904\"]\n  14 -> 32 [size =\"14203904\"]\n  14 -> 33 [size =\"14203904\"]\n  15 [size=\"36150613\", alpha=\"0.03\", expect_size=\"10845184\"] \n  15 -> 32 [size =\"10845184\"]\n  16 [size=\"146394453\", alpha=\"0.09\", expect_size=\"43918336\"] \n  16 -> 30 [size =\"43918336\"]\n  17 [size=\"108117333\", alpha=\"0.08\", expect_size=\"32435200\"] \n  17 -> 30 [size =\"32435200\"]\n  17 -> 34 [size =\"32435200\"]\n  17 -> 35 [size =\"32435200\"]\n  18 [size=\"90429440\", alpha=\"0.05\", expect_size=\"27128832\"] \n  18 -> 32 [size =\"27128832\"]\n  18 -> 35 [size =\"27128832\"]\n  19 [size=\"45707947\", alpha=\"0.09\", expect_size=\"13712384\"] \n  20 [size=\"33269760\", alpha=\"0.12\", expect_size=\"9980928\"] \n  20 -> 32 [size =\"9980928\"]\n  20 -> 33 [size =\"9980928\"]\n  20 -> 34 [size =\"9980928\"]\n  20 -> 35 [size =\"9980928\"]\n  21 [size=\"150657707\", alpha=\"0.20\", expect_size=\"45197312\"] \n  21 -> 31 [size =\"45197312\"]\n  21 -> 33 [size =\"45197312\"]\n  21 -> 34 [size =\"45197312\"]\n  22 [size=\"31781547\", alpha=\"0.08\", expect_size=\"9534464\"] \n  22 -> 31 [size =\"9534464\"]\n  22 -> 33 [size =\"9534464\"]\n  22 -> 35 [size =\"9534464\"]\n  23 [size=\"56050347\", alpha=\"0.08\", expect_size=\"16815104\"] \n  24 [size=\"99512320\", alpha=\"0.01\", expect_size=\"29853696\"] \n  24 -> 32 [size =\"29853696\"]\n  24 -> 33 [size =\"29853696\"]\n  25 [size=\"98536107\", alpha=\"0.16\", expect_size=\"29560832\"] \n  25 -> 30 [size =\"29560832\"]\n  25 -> 32 [size =\"29560832\"]\n  25 -> 34 [size =\"29560832\"]\n  26 [size=\"123214507\", alpha=\"0.12\", expect_size=\"36964352\"] \n  26 -> 29 [size =\"36964352\"]\n  26 -> 34 [size =\"36964352\"]\n  27 [size=\"39447893\", alpha=\"0.20\", expect_size=\"11834368\"] \n  27 -> 30 [size =\"11834368\"]\n  27 -> 32 [size =\"11834368\"]\n  27 -> 33 [size =\"11834368\"]\n  28 [size=\"100908373\", alpha=\"0.06\", expect_size=\"30272512\"] \n  28 -> 35 [size =\"30272512\"]\n  29 [size=\"137256960\", alpha=\"0.11\", expect_size=\"41177088\"] \n  30 [size=\"52650667\", alpha=\"0.04\", expect_size=\"15795200\"] \n  31 [size=\"143912960\", alpha=\"0.19\", expect_size=\"43173888\"] \n  32 [size=\"141390507\", alpha=\"0.09\", expect_size=\"42417152\"] \n  33 [size=\"46356480\", alpha=\"0.07\", expect_size=\"13906944\"] \n  34 [size=\"108984320\", alpha=\"0.09\", expect_size=\"32695296\"] \n  35 [size=\"118425600\", alpha=\"0.13\", expect_size=\"35527680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29433856\", alpha=\"0.16\", expect_size=\"14716928\"] \n  1 -> 6 [size =\"14716928\"]\n  2 [size=\"103231488\", alpha=\"0.01\", expect_size=\"51615744\"] \n  2 -> 6 [size =\"51615744\"]\n  3 [size=\"18462720\", alpha=\"0.01\", expect_size=\"9231360\"] \n  3 -> 6 [size =\"9231360\"]\n  3 -> 8 [size =\"9231360\"]\n  3 -> 9 [size =\"9231360\"]\n  4 [size=\"13613056\", alpha=\"0.12\", expect_size=\"6806528\"] \n  4 -> 8 [size =\"6806528\"]\n  4 -> 8 [size =\"6806528\"]\n  5 [size=\"37521408\", alpha=\"0.16\", expect_size=\"18760704\"] \n  5 -> 7 [size =\"18760704\"]\n  5 -> 8 [size =\"18760704\"]\n  5 -> 9 [size =\"18760704\"]\n  6 [size=\"24897536\", alpha=\"0.03\", expect_size=\"12448768\"] \n  6 -> 10 [size =\"12448768\"]\n  6 -> 11 [size =\"12448768\"]\n  6 -> 12 [size =\"12448768\"]\n  7 [size=\"40841216\", alpha=\"0.02\", expect_size=\"20420608\"] \n  8 [size=\"67266560\", alpha=\"0.13\", expect_size=\"33633280\"] \n  9 [size=\"13146112\", alpha=\"0.16\", expect_size=\"6573056\"] \n  9 -> 10 [size =\"6573056\"]\n  9 -> 11 [size =\"6573056\"]\n  9 -> 13 [size =\"6573056\"]\n  10 [size=\"17694720\", alpha=\"0.08\", expect_size=\"8847360\"] \n  10 -> 14 [size =\"8847360\"]\n  10 -> 15 [size =\"8847360\"]\n  10 -> 16 [size =\"8847360\"]\n  11 [size=\"87406592\", alpha=\"0.14\", expect_size=\"43703296\"] \n  11 -> 15 [size =\"43703296\"]\n  11 -> 15 [size =\"43703296\"]\n  12 [size=\"70012928\", alpha=\"0.04\", expect_size=\"35006464\"] \n  13 [size=\"73209856\", alpha=\"0.16\", expect_size=\"36604928\"] \n  13 -> 14 [size =\"36604928\"]\n  14 [size=\"79390720\", alpha=\"0.10\", expect_size=\"39695360\"] \n  14 -> 17 [size =\"39695360\"]\n  14 -> 18 [size =\"39695360\"]\n  15 [size=\"39882752\", alpha=\"0.10\", expect_size=\"19941376\"] \n  15 -> 18 [size =\"19941376\"]\n  16 [size=\"20416512\", alpha=\"0.06\", expect_size=\"10208256\"] \n  16 -> 17 [size =\"10208256\"]\n  17 [size=\"36841472\", alpha=\"0.18\", expect_size=\"18420736\"] \n  17 -> 19 [size =\"18420736\"]\n  17 -> 20 [size =\"18420736\"]\n  17 -> 21 [size =\"18420736\"]\n  17 -> 22 [size =\"18420736\"]\n  17 -> 23 [size =\"18420736\"]\n  17 -> 24 [size =\"18420736\"]\n  18 [size=\"46714880\", alpha=\"0.05\", expect_size=\"23357440\"] \n  18 -> 19 [size =\"23357440\"]\n  18 -> 20 [size =\"23357440\"]\n  18 -> 21 [size =\"23357440\"]\n  18 -> 22 [size =\"23357440\"]\n  18 -> 23 [size =\"23357440\"]\n  18 -> 25 [size =\"23357440\"]\n  19 [size=\"13238272\", alpha=\"0.20\", expect_size=\"6619136\"] \n  19 -> 26 [size =\"6619136\"]\n  19 -> 27 [size =\"6619136\"]\n  19 -> 28 [size =\"6619136\"]\n  19 -> 29 [size =\"6619136\"]\n  20 [size=\"86970368\", alpha=\"0.13\", expect_size=\"43485184\"] \n  20 -> 26 [size =\"43485184\"]\n  20 -> 28 [size =\"43485184\"]\n  21 [size=\"31371264\", alpha=\"0.11\", expect_size=\"15685632\"] \n  22 [size=\"97333248\", alpha=\"0.08\", expect_size=\"48666624\"] \n  22 -> 28 [size =\"48666624\"]\n  23 [size=\"23257088\", alpha=\"0.07\", expect_size=\"11628544\"] \n  23 -> 27 [size =\"11628544\"]\n  24 [size=\"98058240\", alpha=\"0.07\", expect_size=\"49029120\"] \n  24 -> 28 [size =\"49029120\"]\n  24 -> 30 [size =\"49029120\"]\n  25 [size=\"49358848\", alpha=\"0.12\", expect_size=\"24679424\"] \n  25 -> 26 [size =\"24679424\"]\n  25 -> 28 [size =\"24679424\"]\n  25 -> 30 [size =\"24679424\"]\n  26 [size=\"97409024\", alpha=\"0.00\", expect_size=\"48704512\"] \n  26 -> 31 [size =\"48704512\"]\n  26 -> 34 [size =\"48704512\"]\n  27 [size=\"31459328\", alpha=\"0.15\", expect_size=\"15729664\"] \n  27 -> 31 [size =\"15729664\"]\n  27 -> 34 [size =\"15729664\"]\n  28 [size=\"23398400\", alpha=\"0.02\", expect_size=\"11699200\"] \n  28 -> 32 [size =\"11699200\"]\n  28 -> 34 [size =\"11699200\"]\n  28 -> 35 [size =\"11699200\"]\n  29 [size=\"47482880\", alpha=\"0.10\", expect_size=\"23741440\"] \n  29 -> 33 [size =\"23741440\"]\n  29 -> 35 [size =\"23741440\"]\n  30 [size=\"46123008\", alpha=\"0.19\", expect_size=\"23061504\"] \n  30 -> 32 [size =\"23061504\"]\n  30 -> 33 [size =\"23061504\"]\n  30 -> 34 [size =\"23061504\"]\n  30 -> 35 [size =\"23061504\"]\n  31 [size=\"14491648\", alpha=\"0.04\", expect_size=\"7245824\"] \n  32 [size=\"65910784\", alpha=\"0.02\", expect_size=\"32955392\"] \n  33 [size=\"104386560\", alpha=\"0.13\", expect_size=\"52193280\"] \n  34 [size=\"43524096\", alpha=\"0.19\", expect_size=\"21762048\"] \n  35 [size=\"75194368\", alpha=\"0.11\", expect_size=\"37597184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139854507\", alpha=\"0.08\", expect_size=\"41956352\"] \n  1 -> 15 [size =\"41956352\"]\n  1 -> 17 [size =\"41956352\"]\n  1 -> 20 [size =\"41956352\"]\n  1 -> 23 [size =\"41956352\"]\n  2 [size=\"73130667\", alpha=\"0.06\", expect_size=\"21939200\"] \n  2 -> 15 [size =\"21939200\"]\n  2 -> 16 [size =\"21939200\"]\n  2 -> 18 [size =\"21939200\"]\n  2 -> 22 [size =\"21939200\"]\n  2 -> 25 [size =\"21939200\"]\n  3 [size=\"89869653\", alpha=\"0.16\", expect_size=\"26960896\"] \n  3 -> 15 [size =\"26960896\"]\n  3 -> 18 [size =\"26960896\"]\n  3 -> 19 [size =\"26960896\"]\n  3 -> 20 [size =\"26960896\"]\n  3 -> 22 [size =\"26960896\"]\n  4 [size=\"68143787\", alpha=\"0.01\", expect_size=\"20443136\"] \n  4 -> 17 [size =\"20443136\"]\n  4 -> 19 [size =\"20443136\"]\n  4 -> 20 [size =\"20443136\"]\n  4 -> 25 [size =\"20443136\"]\n  5 [size=\"96259413\", alpha=\"0.11\", expect_size=\"28877824\"] \n  5 -> 14 [size =\"28877824\"]\n  5 -> 15 [size =\"28877824\"]\n  5 -> 17 [size =\"28877824\"]\n  5 -> 18 [size =\"28877824\"]\n  5 -> 20 [size =\"28877824\"]\n  6 [size=\"30474240\", alpha=\"0.09\", expect_size=\"9142272\"] \n  6 -> 15 [size =\"9142272\"]\n  6 -> 17 [size =\"9142272\"]\n  6 -> 20 [size =\"9142272\"]\n  6 -> 22 [size =\"9142272\"]\n  6 -> 24 [size =\"9142272\"]\n  6 -> 25 [size =\"9142272\"]\n  7 [size=\"39396693\", alpha=\"0.18\", expect_size=\"11819008\"] \n  7 -> 20 [size =\"11819008\"]\n  7 -> 21 [size =\"11819008\"]\n  7 -> 24 [size =\"11819008\"]\n  7 -> 25 [size =\"11819008\"]\n  8 [size=\"58009600\", alpha=\"0.15\", expect_size=\"17402880\"] \n  8 -> 15 [size =\"17402880\"]\n  8 -> 18 [size =\"17402880\"]\n  8 -> 25 [size =\"17402880\"]\n  9 [size=\"19316053\", alpha=\"0.14\", expect_size=\"5794816\"] \n  9 -> 15 [size =\"5794816\"]\n  9 -> 19 [size =\"5794816\"]\n  9 -> 22 [size =\"5794816\"]\n  9 -> 23 [size =\"5794816\"]\n  9 -> 25 [size =\"5794816\"]\n  10 [size=\"30156800\", alpha=\"0.10\", expect_size=\"9047040\"] \n  10 -> 16 [size =\"9047040\"]\n  10 -> 23 [size =\"9047040\"]\n  10 -> 24 [size =\"9047040\"]\n  11 [size=\"29467307\", alpha=\"0.08\", expect_size=\"8840192\"] \n  11 -> 15 [size =\"8840192\"]\n  11 -> 16 [size =\"8840192\"]\n  11 -> 19 [size =\"8840192\"]\n  11 -> 22 [size =\"8840192\"]\n  11 -> 24 [size =\"8840192\"]\n  11 -> 26 [size =\"8840192\"]\n  12 [size=\"90941440\", alpha=\"0.04\", expect_size=\"27282432\"] \n  12 -> 18 [size =\"27282432\"]\n  12 -> 19 [size =\"27282432\"]\n  12 -> 19 [size =\"27282432\"]\n  12 -> 24 [size =\"27282432\"]\n  13 [size=\"139991040\", alpha=\"0.01\", expect_size=\"41997312\"] \n  13 -> 18 [size =\"41997312\"]\n  13 -> 19 [size =\"41997312\"]\n  13 -> 20 [size =\"41997312\"]\n  13 -> 24 [size =\"41997312\"]\n  14 [size=\"109527040\", alpha=\"0.14\", expect_size=\"32858112\"] \n  14 -> 30 [size =\"32858112\"]\n  14 -> 31 [size =\"32858112\"]\n  14 -> 32 [size =\"32858112\"]\n  14 -> 34 [size =\"32858112\"]\n  14 -> 35 [size =\"32858112\"]\n  15 [size=\"120070827\", alpha=\"0.02\", expect_size=\"36021248\"] \n  15 -> 28 [size =\"36021248\"]\n  15 -> 29 [size =\"36021248\"]\n  15 -> 30 [size =\"36021248\"]\n  15 -> 31 [size =\"36021248\"]\n  15 -> 32 [size =\"36021248\"]\n  16 [size=\"50926933\", alpha=\"0.10\", expect_size=\"15278080\"] \n  16 -> 32 [size =\"15278080\"]\n  16 -> 34 [size =\"15278080\"]\n  17 [size=\"118432427\", alpha=\"0.14\", expect_size=\"35529728\"] \n  17 -> 27 [size =\"35529728\"]\n  17 -> 30 [size =\"35529728\"]\n  17 -> 31 [size =\"35529728\"]\n  17 -> 34 [size =\"35529728\"]\n  18 [size=\"101461333\", alpha=\"0.17\", expect_size=\"30438400\"] \n  18 -> 32 [size =\"30438400\"]\n  18 -> 33 [size =\"30438400\"]\n  18 -> 34 [size =\"30438400\"]\n  18 -> 34 [size =\"30438400\"]\n  19 [size=\"60146347\", alpha=\"0.13\", expect_size=\"18043904\"] \n  19 -> 27 [size =\"18043904\"]\n  19 -> 34 [size =\"18043904\"]\n  20 [size=\"174076587\", alpha=\"0.04\", expect_size=\"52222976\"] \n  20 -> 27 [size =\"52222976\"]\n  20 -> 29 [size =\"52222976\"]\n  20 -> 30 [size =\"52222976\"]\n  20 -> 31 [size =\"52222976\"]\n  21 [size=\"91613867\", alpha=\"0.10\", expect_size=\"27484160\"] \n  21 -> 27 [size =\"27484160\"]\n  21 -> 28 [size =\"27484160\"]\n  21 -> 30 [size =\"27484160\"]\n  21 -> 31 [size =\"27484160\"]\n  21 -> 32 [size =\"27484160\"]\n  22 [size=\"153043627\", alpha=\"0.04\", expect_size=\"45913088\"] \n  22 -> 27 [size =\"45913088\"]\n  22 -> 34 [size =\"45913088\"]\n  23 [size=\"30020267\", alpha=\"0.07\", expect_size=\"9006080\"] \n  23 -> 27 [size =\"9006080\"]\n  23 -> 30 [size =\"9006080\"]\n  23 -> 32 [size =\"9006080\"]\n  24 [size=\"38041600\", alpha=\"0.16\", expect_size=\"11412480\"] \n  24 -> 27 [size =\"11412480\"]\n  24 -> 30 [size =\"11412480\"]\n  24 -> 32 [size =\"11412480\"]\n  25 [size=\"146100907\", alpha=\"0.16\", expect_size=\"43830272\"] \n  25 -> 29 [size =\"43830272\"]\n  25 -> 30 [size =\"43830272\"]\n  25 -> 31 [size =\"43830272\"]\n  26 [size=\"164116480\", alpha=\"0.16\", expect_size=\"49234944\"] \n  26 -> 27 [size =\"49234944\"]\n  26 -> 30 [size =\"49234944\"]\n  26 -> 32 [size =\"49234944\"]\n  26 -> 34 [size =\"49234944\"]\n  26 -> 35 [size =\"49234944\"]\n  27 [size=\"88436053\", alpha=\"0.00\", expect_size=\"26530816\"] \n  28 [size=\"44079787\", alpha=\"0.09\", expect_size=\"13223936\"] \n  29 [size=\"20688213\", alpha=\"0.18\", expect_size=\"6206464\"] \n  30 [size=\"121777493\", alpha=\"0.09\", expect_size=\"36533248\"] \n  31 [size=\"152122027\", alpha=\"0.01\", expect_size=\"45636608\"] \n  32 [size=\"76820480\", alpha=\"0.03\", expect_size=\"23046144\"] \n  33 [size=\"108806827\", alpha=\"0.00\", expect_size=\"32642048\"] \n  34 [size=\"163198293\", alpha=\"0.09\", expect_size=\"48959488\"] \n  35 [size=\"133369173\", alpha=\"0.11\", expect_size=\"40010752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30636032\", alpha=\"0.19\", expect_size=\"15318016\"] \n  1 -> 2 [size =\"15318016\"]\n  2 [size=\"69996544\", alpha=\"0.11\", expect_size=\"34998272\"] \n  2 -> 3 [size =\"34998272\"]\n  3 [size=\"55988224\", alpha=\"0.14\", expect_size=\"27994112\"] \n  3 -> 4 [size =\"27994112\"]\n  4 [size=\"31322112\", alpha=\"0.02\", expect_size=\"15661056\"] \n  4 -> 5 [size =\"15661056\"]\n  5 [size=\"11431936\", alpha=\"0.11\", expect_size=\"5715968\"] \n  5 -> 6 [size =\"5715968\"]\n  6 [size=\"32731136\", alpha=\"0.16\", expect_size=\"16365568\"] \n  6 -> 7 [size =\"16365568\"]\n  7 [size=\"89501696\", alpha=\"0.10\", expect_size=\"44750848\"] \n  7 -> 8 [size =\"44750848\"]\n  8 [size=\"50571264\", alpha=\"0.08\", expect_size=\"25285632\"] \n  8 -> 9 [size =\"25285632\"]\n  9 [size=\"94971904\", alpha=\"0.04\", expect_size=\"47485952\"] \n  9 -> 10 [size =\"47485952\"]\n  10 [size=\"89694208\", alpha=\"0.02\", expect_size=\"44847104\"] \n  10 -> 11 [size =\"44847104\"]\n  11 [size=\"76478464\", alpha=\"0.07\", expect_size=\"38239232\"] \n  11 -> 12 [size =\"38239232\"]\n  12 [size=\"70150144\", alpha=\"0.10\", expect_size=\"35075072\"] \n  12 -> 13 [size =\"35075072\"]\n  13 [size=\"28540928\", alpha=\"0.06\", expect_size=\"14270464\"] \n  13 -> 14 [size =\"14270464\"]\n  14 [size=\"92698624\", alpha=\"0.13\", expect_size=\"46349312\"] \n  14 -> 15 [size =\"46349312\"]\n  15 [size=\"101693440\", alpha=\"0.01\", expect_size=\"50846720\"] \n  15 -> 16 [size =\"50846720\"]\n  16 [size=\"60082176\", alpha=\"0.11\", expect_size=\"30041088\"] \n  16 -> 17 [size =\"30041088\"]\n  17 [size=\"41297920\", alpha=\"0.14\", expect_size=\"20648960\"] \n  17 -> 18 [size =\"20648960\"]\n  18 [size=\"89538560\", alpha=\"0.10\", expect_size=\"44769280\"] \n  18 -> 19 [size =\"44769280\"]\n  19 [size=\"33529856\", alpha=\"0.03\", expect_size=\"16764928\"] \n  19 -> 20 [size =\"16764928\"]\n  20 [size=\"53452800\", alpha=\"0.04\", expect_size=\"26726400\"] \n  20 -> 21 [size =\"26726400\"]\n  21 [size=\"64385024\", alpha=\"0.10\", expect_size=\"32192512\"] \n  21 -> 22 [size =\"32192512\"]\n  22 [size=\"97640448\", alpha=\"0.09\", expect_size=\"48820224\"] \n  22 -> 23 [size =\"48820224\"]\n  23 [size=\"51515392\", alpha=\"0.17\", expect_size=\"25757696\"] \n  23 -> 24 [size =\"25757696\"]\n  24 [size=\"79804416\", alpha=\"0.09\", expect_size=\"39902208\"] \n  24 -> 25 [size =\"39902208\"]\n  25 [size=\"45672448\", alpha=\"0.02\", expect_size=\"22836224\"] \n  25 -> 26 [size =\"22836224\"]\n  26 [size=\"51879936\", alpha=\"0.19\", expect_size=\"25939968\"] \n  26 -> 27 [size =\"25939968\"]\n  27 [size=\"11055104\", alpha=\"0.14\", expect_size=\"5527552\"] \n  27 -> 28 [size =\"5527552\"]\n  28 [size=\"77484032\", alpha=\"0.16\", expect_size=\"38742016\"] \n  28 -> 29 [size =\"38742016\"]\n  29 [size=\"30107648\", alpha=\"0.17\", expect_size=\"15053824\"] \n  29 -> 30 [size =\"15053824\"]\n  30 [size=\"43800576\", alpha=\"0.14\", expect_size=\"21900288\"] \n  30 -> 31 [size =\"21900288\"]\n  31 [size=\"64827392\", alpha=\"0.05\", expect_size=\"32413696\"] \n  31 -> 32 [size =\"32413696\"]\n  32 [size=\"18966528\", alpha=\"0.09\", expect_size=\"9483264\"] \n  32 -> 33 [size =\"9483264\"]\n  33 [size=\"60104704\", alpha=\"0.17\", expect_size=\"30052352\"] \n  33 -> 34 [size =\"30052352\"]\n  34 [size=\"45000704\", alpha=\"0.02\", expect_size=\"22500352\"] \n  34 -> 35 [size =\"22500352\"]\n  35 [size=\"88862720\", alpha=\"0.07\", expect_size=\"44431360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29898752\", alpha=\"0.13\", expect_size=\"14949376\"] \n  1 -> 29 [size =\"14949376\"]\n  1 -> 31 [size =\"14949376\"]\n  1 -> 34 [size =\"14949376\"]\n  2 [size=\"83490816\", alpha=\"0.00\", expect_size=\"41745408\"] \n  2 -> 31 [size =\"41745408\"]\n  3 [size=\"60811264\", alpha=\"0.17\", expect_size=\"30405632\"] \n  3 -> 29 [size =\"30405632\"]\n  3 -> 30 [size =\"30405632\"]\n  3 -> 31 [size =\"30405632\"]\n  3 -> 32 [size =\"30405632\"]\n  4 [size=\"100454400\", alpha=\"0.17\", expect_size=\"50227200\"] \n  5 [size=\"60776448\", alpha=\"0.03\", expect_size=\"30388224\"] \n  5 -> 31 [size =\"30388224\"]\n  5 -> 33 [size =\"30388224\"]\n  6 [size=\"21524480\", alpha=\"0.01\", expect_size=\"10762240\"] \n  6 -> 29 [size =\"10762240\"]\n  6 -> 34 [size =\"10762240\"]\n  7 [size=\"78266368\", alpha=\"0.00\", expect_size=\"39133184\"] \n  7 -> 29 [size =\"39133184\"]\n  7 -> 31 [size =\"39133184\"]\n  8 [size=\"93179904\", alpha=\"0.11\", expect_size=\"46589952\"] \n  8 -> 34 [size =\"46589952\"]\n  9 [size=\"17680384\", alpha=\"0.03\", expect_size=\"8840192\"] \n  9 -> 29 [size =\"8840192\"]\n  9 -> 34 [size =\"8840192\"]\n  10 [size=\"55758848\", alpha=\"0.17\", expect_size=\"27879424\"] \n  10 -> 31 [size =\"27879424\"]\n  11 [size=\"46690304\", alpha=\"0.18\", expect_size=\"23345152\"] \n  11 -> 31 [size =\"23345152\"]\n  12 [size=\"13780992\", alpha=\"0.04\", expect_size=\"6890496\"] \n  12 -> 29 [size =\"6890496\"]\n  13 [size=\"14514176\", alpha=\"0.00\", expect_size=\"7257088\"] \n  13 -> 31 [size =\"7257088\"]\n  14 [size=\"96761856\", alpha=\"0.19\", expect_size=\"48380928\"] \n  14 -> 29 [size =\"48380928\"]\n  14 -> 31 [size =\"48380928\"]\n  14 -> 34 [size =\"48380928\"]\n  14 -> 35 [size =\"48380928\"]\n  15 [size=\"82014208\", alpha=\"0.16\", expect_size=\"41007104\"] \n  15 -> 31 [size =\"41007104\"]\n  16 [size=\"96616448\", alpha=\"0.13\", expect_size=\"48308224\"] \n  16 -> 32 [size =\"48308224\"]\n  16 -> 35 [size =\"48308224\"]\n  17 [size=\"101578752\", alpha=\"0.20\", expect_size=\"50789376\"] \n  17 -> 31 [size =\"50789376\"]\n  18 [size=\"102666240\", alpha=\"0.13\", expect_size=\"51333120\"] \n  19 [size=\"60368896\", alpha=\"0.19\", expect_size=\"30184448\"] \n  20 [size=\"75745280\", alpha=\"0.20\", expect_size=\"37872640\"] \n  20 -> 33 [size =\"37872640\"]\n  20 -> 34 [size =\"37872640\"]\n  21 [size=\"62081024\", alpha=\"0.05\", expect_size=\"31040512\"] \n  21 -> 29 [size =\"31040512\"]\n  22 [size=\"53927936\", alpha=\"0.05\", expect_size=\"26963968\"] \n  22 -> 29 [size =\"26963968\"]\n  22 -> 30 [size =\"26963968\"]\n  22 -> 32 [size =\"26963968\"]\n  23 [size=\"73871360\", alpha=\"0.16\", expect_size=\"36935680\"] \n  23 -> 29 [size =\"36935680\"]\n  23 -> 32 [size =\"36935680\"]\n  23 -> 34 [size =\"36935680\"]\n  24 [size=\"74811392\", alpha=\"0.07\", expect_size=\"37405696\"] \n  24 -> 29 [size =\"37405696\"]\n  24 -> 34 [size =\"37405696\"]\n  25 [size=\"68853760\", alpha=\"0.08\", expect_size=\"34426880\"] \n  25 -> 29 [size =\"34426880\"]\n  26 [size=\"47685632\", alpha=\"0.11\", expect_size=\"23842816\"] \n  26 -> 29 [size =\"23842816\"]\n  26 -> 31 [size =\"23842816\"]\n  26 -> 34 [size =\"23842816\"]\n  27 [size=\"12818432\", alpha=\"0.08\", expect_size=\"6409216\"] \n  27 -> 32 [size =\"6409216\"]\n  27 -> 33 [size =\"6409216\"]\n  28 [size=\"11501568\", alpha=\"0.03\", expect_size=\"5750784\"] \n  28 -> 31 [size =\"5750784\"]\n  29 [size=\"73900032\", alpha=\"0.20\", expect_size=\"36950016\"] \n  30 [size=\"69535744\", alpha=\"0.06\", expect_size=\"34767872\"] \n  31 [size=\"69253120\", alpha=\"0.20\", expect_size=\"34626560\"] \n  32 [size=\"92463104\", alpha=\"0.15\", expect_size=\"46231552\"] \n  33 [size=\"23431168\", alpha=\"0.10\", expect_size=\"11715584\"] \n  34 [size=\"101226496\", alpha=\"0.04\", expect_size=\"50613248\"] \n  35 [size=\"38332416\", alpha=\"0.13\", expect_size=\"19166208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160727040\", alpha=\"0.09\", expect_size=\"48218112\"] \n  1 -> 2 [size =\"48218112\"]\n  2 [size=\"155436373\", alpha=\"0.16\", expect_size=\"46630912\"] \n  2 -> 3 [size =\"46630912\"]\n  3 [size=\"96105813\", alpha=\"0.04\", expect_size=\"28831744\"] \n  3 -> 4 [size =\"28831744\"]\n  4 [size=\"77230080\", alpha=\"0.19\", expect_size=\"23169024\"] \n  4 -> 5 [size =\"23169024\"]\n  5 [size=\"61419520\", alpha=\"0.09\", expect_size=\"18425856\"] \n  5 -> 6 [size =\"18425856\"]\n  6 [size=\"76240213\", alpha=\"0.02\", expect_size=\"22872064\"] \n  6 -> 7 [size =\"22872064\"]\n  7 [size=\"53480107\", alpha=\"0.10\", expect_size=\"16044032\"] \n  7 -> 8 [size =\"16044032\"]\n  8 [size=\"79725227\", alpha=\"0.09\", expect_size=\"23917568\"] \n  8 -> 9 [size =\"23917568\"]\n  9 [size=\"164819627\", alpha=\"0.11\", expect_size=\"49445888\"] \n  9 -> 10 [size =\"49445888\"]\n  10 [size=\"112622933\", alpha=\"0.07\", expect_size=\"33786880\"] \n  10 -> 11 [size =\"33786880\"]\n  11 [size=\"77656747\", alpha=\"0.13\", expect_size=\"23297024\"] \n  11 -> 12 [size =\"23297024\"]\n  12 [size=\"150790827\", alpha=\"0.16\", expect_size=\"45237248\"] \n  12 -> 13 [size =\"45237248\"]\n  13 [size=\"120712533\", alpha=\"0.19\", expect_size=\"36213760\"] \n  13 -> 14 [size =\"36213760\"]\n  14 [size=\"153050453\", alpha=\"0.18\", expect_size=\"45915136\"] \n  14 -> 15 [size =\"45915136\"]\n  15 [size=\"148452693\", alpha=\"0.02\", expect_size=\"44535808\"] \n  15 -> 16 [size =\"44535808\"]\n  16 [size=\"64327680\", alpha=\"0.08\", expect_size=\"19298304\"] \n  16 -> 17 [size =\"19298304\"]\n  17 [size=\"78506667\", alpha=\"0.20\", expect_size=\"23552000\"] \n  17 -> 18 [size =\"23552000\"]\n  18 [size=\"156463787\", alpha=\"0.14\", expect_size=\"46939136\"] \n  18 -> 19 [size =\"46939136\"]\n  19 [size=\"72891733\", alpha=\"0.19\", expect_size=\"21867520\"] \n  19 -> 20 [size =\"21867520\"]\n  20 [size=\"162686293\", alpha=\"0.17\", expect_size=\"48805888\"] \n  20 -> 21 [size =\"48805888\"]\n  21 [size=\"57118720\", alpha=\"0.14\", expect_size=\"17135616\"] \n  21 -> 22 [size =\"17135616\"]\n  22 [size=\"156166827\", alpha=\"0.08\", expect_size=\"46850048\"] \n  22 -> 23 [size =\"46850048\"]\n  23 [size=\"122682027\", alpha=\"0.12\", expect_size=\"36804608\"] \n  23 -> 24 [size =\"36804608\"]\n  24 [size=\"112800427\", alpha=\"0.04\", expect_size=\"33840128\"] \n  24 -> 25 [size =\"33840128\"]\n  25 [size=\"100348587\", alpha=\"0.01\", expect_size=\"30104576\"] \n  25 -> 26 [size =\"30104576\"]\n  26 [size=\"118562133\", alpha=\"0.06\", expect_size=\"35568640\"] \n  26 -> 27 [size =\"35568640\"]\n  27 [size=\"27521707\", alpha=\"0.15\", expect_size=\"8256512\"] \n  27 -> 28 [size =\"8256512\"]\n  28 [size=\"24343893\", alpha=\"0.13\", expect_size=\"7303168\"] \n  28 -> 29 [size =\"7303168\"]\n  29 [size=\"137775787\", alpha=\"0.09\", expect_size=\"41332736\"] \n  29 -> 30 [size =\"41332736\"]\n  30 [size=\"127467520\", alpha=\"0.17\", expect_size=\"38240256\"] \n  30 -> 31 [size =\"38240256\"]\n  31 [size=\"104523093\", alpha=\"0.13\", expect_size=\"31356928\"] \n  31 -> 32 [size =\"31356928\"]\n  32 [size=\"54913707\", alpha=\"0.05\", expect_size=\"16474112\"] \n  32 -> 33 [size =\"16474112\"]\n  33 [size=\"116599467\", alpha=\"0.11\", expect_size=\"34979840\"] \n  33 -> 34 [size =\"34979840\"]\n  34 [size=\"53640533\", alpha=\"0.14\", expect_size=\"16092160\"] \n  34 -> 35 [size =\"16092160\"]\n  35 [size=\"83077120\", alpha=\"0.14\", expect_size=\"24923136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80762880\", alpha=\"0.05\", expect_size=\"40381440\"] \n  1 -> 2 [size =\"40381440\"]\n  2 [size=\"89753600\", alpha=\"0.03\", expect_size=\"44876800\"] \n  2 -> 3 [size =\"44876800\"]\n  3 [size=\"87242752\", alpha=\"0.11\", expect_size=\"43621376\"] \n  3 -> 4 [size =\"43621376\"]\n  4 [size=\"17016832\", alpha=\"0.07\", expect_size=\"8508416\"] \n  4 -> 5 [size =\"8508416\"]\n  5 [size=\"12505088\", alpha=\"0.06\", expect_size=\"6252544\"] \n  5 -> 6 [size =\"6252544\"]\n  6 [size=\"101115904\", alpha=\"0.18\", expect_size=\"50557952\"] \n  6 -> 7 [size =\"50557952\"]\n  7 [size=\"70860800\", alpha=\"0.12\", expect_size=\"35430400\"] \n  7 -> 8 [size =\"35430400\"]\n  8 [size=\"18927616\", alpha=\"0.13\", expect_size=\"9463808\"] \n  8 -> 9 [size =\"9463808\"]\n  9 [size=\"57198592\", alpha=\"0.09\", expect_size=\"28599296\"] \n  9 -> 10 [size =\"28599296\"]\n  10 [size=\"98715648\", alpha=\"0.17\", expect_size=\"49357824\"] \n  10 -> 11 [size =\"49357824\"]\n  11 [size=\"59082752\", alpha=\"0.04\", expect_size=\"29541376\"] \n  11 -> 12 [size =\"29541376\"]\n  12 [size=\"84742144\", alpha=\"0.09\", expect_size=\"42371072\"] \n  12 -> 13 [size =\"42371072\"]\n  13 [size=\"101087232\", alpha=\"0.00\", expect_size=\"50543616\"] \n  13 -> 14 [size =\"50543616\"]\n  14 [size=\"56569856\", alpha=\"0.12\", expect_size=\"28284928\"] \n  14 -> 15 [size =\"28284928\"]\n  15 [size=\"89937920\", alpha=\"0.09\", expect_size=\"44968960\"] \n  15 -> 16 [size =\"44968960\"]\n  16 [size=\"25872384\", alpha=\"0.11\", expect_size=\"12936192\"] \n  16 -> 17 [size =\"12936192\"]\n  17 [size=\"18313216\", alpha=\"0.05\", expect_size=\"9156608\"] \n  17 -> 18 [size =\"9156608\"]\n  18 [size=\"76544000\", alpha=\"0.14\", expect_size=\"38272000\"] \n  18 -> 19 [size =\"38272000\"]\n  19 [size=\"44371968\", alpha=\"0.09\", expect_size=\"22185984\"] \n  19 -> 20 [size =\"22185984\"]\n  20 [size=\"89157632\", alpha=\"0.03\", expect_size=\"44578816\"] \n  20 -> 21 [size =\"44578816\"]\n  21 [size=\"74622976\", alpha=\"0.11\", expect_size=\"37311488\"] \n  21 -> 22 [size =\"37311488\"]\n  22 [size=\"95019008\", alpha=\"0.16\", expect_size=\"47509504\"] \n  22 -> 23 [size =\"47509504\"]\n  23 [size=\"42897408\", alpha=\"0.17\", expect_size=\"21448704\"] \n  23 -> 24 [size =\"21448704\"]\n  24 [size=\"43761664\", alpha=\"0.00\", expect_size=\"21880832\"] \n  24 -> 25 [size =\"21880832\"]\n  25 [size=\"101601280\", alpha=\"0.03\", expect_size=\"50800640\"] \n  25 -> 26 [size =\"50800640\"]\n  26 [size=\"50141184\", alpha=\"0.06\", expect_size=\"25070592\"] \n  26 -> 27 [size =\"25070592\"]\n  27 [size=\"99962880\", alpha=\"0.01\", expect_size=\"49981440\"] \n  27 -> 28 [size =\"49981440\"]\n  28 [size=\"27672576\", alpha=\"0.18\", expect_size=\"13836288\"] \n  28 -> 29 [size =\"13836288\"]\n  29 [size=\"93507584\", alpha=\"0.05\", expect_size=\"46753792\"] \n  29 -> 30 [size =\"46753792\"]\n  30 [size=\"42467328\", alpha=\"0.10\", expect_size=\"21233664\"] \n  30 -> 31 [size =\"21233664\"]\n  31 [size=\"54677504\", alpha=\"0.06\", expect_size=\"27338752\"] \n  31 -> 32 [size =\"27338752\"]\n  32 [size=\"11673600\", alpha=\"0.18\", expect_size=\"5836800\"] \n  32 -> 33 [size =\"5836800\"]\n  33 [size=\"87095296\", alpha=\"0.09\", expect_size=\"43547648\"] \n  33 -> 34 [size =\"43547648\"]\n  34 [size=\"74586112\", alpha=\"0.09\", expect_size=\"37293056\"] \n  34 -> 35 [size =\"37293056\"]\n  35 [size=\"75048960\", alpha=\"0.07\", expect_size=\"37524480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74810880\", alpha=\"0.00\", expect_size=\"29924352\"] \n  1 -> 13 [size =\"29924352\"]\n  1 -> 17 [size =\"29924352\"]\n  1 -> 20 [size =\"29924352\"]\n  1 -> 21 [size =\"29924352\"]\n  1 -> 22 [size =\"29924352\"]\n  1 -> 23 [size =\"29924352\"]\n  1 -> 24 [size =\"29924352\"]\n  2 [size=\"84116480\", alpha=\"0.19\", expect_size=\"33646592\"] \n  2 -> 13 [size =\"33646592\"]\n  2 -> 14 [size =\"33646592\"]\n  2 -> 17 [size =\"33646592\"]\n  2 -> 18 [size =\"33646592\"]\n  2 -> 22 [size =\"33646592\"]\n  2 -> 23 [size =\"33646592\"]\n  2 -> 24 [size =\"33646592\"]\n  3 [size=\"59706880\", alpha=\"0.15\", expect_size=\"23882752\"] \n  3 -> 12 [size =\"23882752\"]\n  3 -> 18 [size =\"23882752\"]\n  3 -> 20 [size =\"23882752\"]\n  3 -> 22 [size =\"23882752\"]\n  3 -> 22 [size =\"23882752\"]\n  3 -> 23 [size =\"23882752\"]\n  4 [size=\"125450240\", alpha=\"0.15\", expect_size=\"50180096\"] \n  4 -> 13 [size =\"50180096\"]\n  4 -> 19 [size =\"50180096\"]\n  4 -> 22 [size =\"50180096\"]\n  4 -> 23 [size =\"50180096\"]\n  5 [size=\"74864640\", alpha=\"0.15\", expect_size=\"29945856\"] \n  5 -> 12 [size =\"29945856\"]\n  5 -> 16 [size =\"29945856\"]\n  6 [size=\"117204480\", alpha=\"0.19\", expect_size=\"46881792\"] \n  6 -> 12 [size =\"46881792\"]\n  6 -> 13 [size =\"46881792\"]\n  6 -> 16 [size =\"46881792\"]\n  6 -> 17 [size =\"46881792\"]\n  6 -> 19 [size =\"46881792\"]\n  6 -> 24 [size =\"46881792\"]\n  7 [size=\"122109440\", alpha=\"0.13\", expect_size=\"48843776\"] \n  7 -> 12 [size =\"48843776\"]\n  7 -> 13 [size =\"48843776\"]\n  7 -> 16 [size =\"48843776\"]\n  7 -> 17 [size =\"48843776\"]\n  7 -> 18 [size =\"48843776\"]\n  7 -> 20 [size =\"48843776\"]\n  8 [size=\"74219520\", alpha=\"0.04\", expect_size=\"29687808\"] \n  8 -> 12 [size =\"29687808\"]\n  8 -> 13 [size =\"29687808\"]\n  8 -> 15 [size =\"29687808\"]\n  8 -> 18 [size =\"29687808\"]\n  8 -> 20 [size =\"29687808\"]\n  9 [size=\"114145280\", alpha=\"0.16\", expect_size=\"45658112\"] \n  9 -> 13 [size =\"45658112\"]\n  9 -> 13 [size =\"45658112\"]\n  9 -> 14 [size =\"45658112\"]\n  9 -> 17 [size =\"45658112\"]\n  9 -> 18 [size =\"45658112\"]\n  9 -> 19 [size =\"45658112\"]\n  9 -> 20 [size =\"45658112\"]\n  9 -> 23 [size =\"45658112\"]\n  10 [size=\"44559360\", alpha=\"0.02\", expect_size=\"17823744\"] \n  10 -> 14 [size =\"17823744\"]\n  10 -> 18 [size =\"17823744\"]\n  10 -> 20 [size =\"17823744\"]\n  10 -> 22 [size =\"17823744\"]\n  10 -> 24 [size =\"17823744\"]\n  11 [size=\"68142080\", alpha=\"0.16\", expect_size=\"27256832\"] \n  11 -> 20 [size =\"27256832\"]\n  11 -> 22 [size =\"27256832\"]\n  11 -> 23 [size =\"27256832\"]\n  12 [size=\"70673920\", alpha=\"0.20\", expect_size=\"28269568\"] \n  12 -> 25 [size =\"28269568\"]\n  12 -> 26 [size =\"28269568\"]\n  12 -> 28 [size =\"28269568\"]\n  12 -> 33 [size =\"28269568\"]\n  13 [size=\"67153920\", alpha=\"0.15\", expect_size=\"26861568\"] \n  13 -> 26 [size =\"26861568\"]\n  13 -> 28 [size =\"26861568\"]\n  14 [size=\"35589120\", alpha=\"0.16\", expect_size=\"14235648\"] \n  14 -> 25 [size =\"14235648\"]\n  14 -> 28 [size =\"14235648\"]\n  14 -> 32 [size =\"14235648\"]\n  15 [size=\"125465600\", alpha=\"0.09\", expect_size=\"50186240\"] \n  15 -> 27 [size =\"50186240\"]\n  15 -> 32 [size =\"50186240\"]\n  15 -> 33 [size =\"50186240\"]\n  16 [size=\"95546880\", alpha=\"0.06\", expect_size=\"38218752\"] \n  16 -> 25 [size =\"38218752\"]\n  16 -> 31 [size =\"38218752\"]\n  17 [size=\"92090880\", alpha=\"0.19\", expect_size=\"36836352\"] \n  17 -> 25 [size =\"36836352\"]\n  17 -> 26 [size =\"36836352\"]\n  17 -> 27 [size =\"36836352\"]\n  17 -> 31 [size =\"36836352\"]\n  17 -> 32 [size =\"36836352\"]\n  18 [size=\"49991680\", alpha=\"0.19\", expect_size=\"19996672\"] \n  18 -> 25 [size =\"19996672\"]\n  18 -> 26 [size =\"19996672\"]\n  18 -> 32 [size =\"19996672\"]\n  19 [size=\"72983040\", alpha=\"0.12\", expect_size=\"29193216\"] \n  19 -> 29 [size =\"29193216\"]\n  19 -> 30 [size =\"29193216\"]\n  19 -> 32 [size =\"29193216\"]\n  19 -> 34 [size =\"29193216\"]\n  20 [size=\"48194560\", alpha=\"0.19\", expect_size=\"19277824\"] \n  20 -> 25 [size =\"19277824\"]\n  20 -> 26 [size =\"19277824\"]\n  20 -> 30 [size =\"19277824\"]\n  20 -> 33 [size =\"19277824\"]\n  21 [size=\"60554240\", alpha=\"0.17\", expect_size=\"24221696\"] \n  21 -> 25 [size =\"24221696\"]\n  21 -> 26 [size =\"24221696\"]\n  21 -> 28 [size =\"24221696\"]\n  21 -> 30 [size =\"24221696\"]\n  21 -> 31 [size =\"24221696\"]\n  21 -> 33 [size =\"24221696\"]\n  21 -> 34 [size =\"24221696\"]\n  22 [size=\"39900160\", alpha=\"0.06\", expect_size=\"15960064\"] \n  22 -> 26 [size =\"15960064\"]\n  22 -> 26 [size =\"15960064\"]\n  22 -> 28 [size =\"15960064\"]\n  22 -> 29 [size =\"15960064\"]\n  22 -> 30 [size =\"15960064\"]\n  22 -> 31 [size =\"15960064\"]\n  22 -> 33 [size =\"15960064\"]\n  23 [size=\"36971520\", alpha=\"0.04\", expect_size=\"14788608\"] \n  23 -> 26 [size =\"14788608\"]\n  23 -> 28 [size =\"14788608\"]\n  23 -> 31 [size =\"14788608\"]\n  23 -> 33 [size =\"14788608\"]\n  23 -> 34 [size =\"14788608\"]\n  24 [size=\"126576640\", alpha=\"0.01\", expect_size=\"50630656\"] \n  24 -> 25 [size =\"50630656\"]\n  24 -> 27 [size =\"50630656\"]\n  24 -> 28 [size =\"50630656\"]\n  24 -> 31 [size =\"50630656\"]\n  24 -> 33 [size =\"50630656\"]\n  25 [size=\"101163520\", alpha=\"0.08\", expect_size=\"40465408\"] \n  26 [size=\"35184640\", alpha=\"0.13\", expect_size=\"14073856\"] \n  27 [size=\"72499200\", alpha=\"0.16\", expect_size=\"28999680\"] \n  28 [size=\"66580480\", alpha=\"0.10\", expect_size=\"26632192\"] \n  29 [size=\"62246400\", alpha=\"0.00\", expect_size=\"24898560\"] \n  30 [size=\"14041600\", alpha=\"0.17\", expect_size=\"5616640\"] \n  30 -> 35 [size =\"5616640\"]\n  31 [size=\"126443520\", alpha=\"0.02\", expect_size=\"50577408\"] \n  32 [size=\"107266560\", alpha=\"0.17\", expect_size=\"42906624\"] \n  32 -> 35 [size =\"42906624\"]\n  33 [size=\"27520000\", alpha=\"0.02\", expect_size=\"11008000\"] \n  34 [size=\"51770880\", alpha=\"0.10\", expect_size=\"20708352\"] \n  34 -> 35 [size =\"20708352\"]\n  35 [size=\"56437760\", alpha=\"0.17\", expect_size=\"22575104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38103040\", alpha=\"0.12\", expect_size=\"11430912\"] \n  1 -> 4 [size =\"11430912\"]\n  1 -> 5 [size =\"11430912\"]\n  1 -> 6 [size =\"11430912\"]\n  1 -> 7 [size =\"11430912\"]\n  1 -> 8 [size =\"11430912\"]\n  2 [size=\"100065280\", alpha=\"0.10\", expect_size=\"30019584\"] \n  2 -> 4 [size =\"30019584\"]\n  2 -> 6 [size =\"30019584\"]\n  2 -> 8 [size =\"30019584\"]\n  3 [size=\"122743467\", alpha=\"0.13\", expect_size=\"36823040\"] \n  3 -> 6 [size =\"36823040\"]\n  3 -> 7 [size =\"36823040\"]\n  3 -> 8 [size =\"36823040\"]\n  4 [size=\"114786987\", alpha=\"0.10\", expect_size=\"34436096\"] \n  4 -> 9 [size =\"34436096\"]\n  4 -> 11 [size =\"34436096\"]\n  4 -> 11 [size =\"34436096\"]\n  5 [size=\"27269120\", alpha=\"0.17\", expect_size=\"8180736\"] \n  5 -> 9 [size =\"8180736\"]\n  5 -> 10 [size =\"8180736\"]\n  5 -> 11 [size =\"8180736\"]\n  5 -> 12 [size =\"8180736\"]\n  6 [size=\"30385493\", alpha=\"0.08\", expect_size=\"9115648\"] \n  6 -> 10 [size =\"9115648\"]\n  6 -> 10 [size =\"9115648\"]\n  6 -> 11 [size =\"9115648\"]\n  7 [size=\"27156480\", alpha=\"0.14\", expect_size=\"8146944\"] \n  7 -> 9 [size =\"8146944\"]\n  8 [size=\"173585067\", alpha=\"0.06\", expect_size=\"52075520\"] \n  8 -> 9 [size =\"52075520\"]\n  8 -> 10 [size =\"52075520\"]\n  8 -> 11 [size =\"52075520\"]\n  9 [size=\"81425067\", alpha=\"0.13\", expect_size=\"24427520\"] \n  9 -> 13 [size =\"24427520\"]\n  9 -> 14 [size =\"24427520\"]\n  9 -> 15 [size =\"24427520\"]\n  9 -> 16 [size =\"24427520\"]\n  10 [size=\"105690453\", alpha=\"0.07\", expect_size=\"31707136\"] \n  10 -> 15 [size =\"31707136\"]\n  11 [size=\"145353387\", alpha=\"0.05\", expect_size=\"43606016\"] \n  11 -> 15 [size =\"43606016\"]\n  11 -> 16 [size =\"43606016\"]\n  12 [size=\"82008747\", alpha=\"0.16\", expect_size=\"24602624\"] \n  12 -> 14 [size =\"24602624\"]\n  12 -> 15 [size =\"24602624\"]\n  12 -> 16 [size =\"24602624\"]\n  13 [size=\"159849813\", alpha=\"0.13\", expect_size=\"47954944\"] \n  13 -> 17 [size =\"47954944\"]\n  13 -> 18 [size =\"47954944\"]\n  13 -> 19 [size =\"47954944\"]\n  14 [size=\"107738453\", alpha=\"0.17\", expect_size=\"32321536\"] \n  14 -> 17 [size =\"32321536\"]\n  15 [size=\"29262507\", alpha=\"0.13\", expect_size=\"8778752\"] \n  15 -> 17 [size =\"8778752\"]\n  15 -> 20 [size =\"8778752\"]\n  16 [size=\"163362133\", alpha=\"0.12\", expect_size=\"49008640\"] \n  16 -> 17 [size =\"49008640\"]\n  16 -> 19 [size =\"49008640\"]\n  17 [size=\"69795840\", alpha=\"0.12\", expect_size=\"20938752\"] \n  17 -> 22 [size =\"20938752\"]\n  18 [size=\"26132480\", alpha=\"0.15\", expect_size=\"7839744\"] \n  18 -> 21 [size =\"7839744\"]\n  18 -> 23 [size =\"7839744\"]\n  19 [size=\"69447680\", alpha=\"0.05\", expect_size=\"20834304\"] \n  19 -> 21 [size =\"20834304\"]\n  20 [size=\"173059413\", alpha=\"0.09\", expect_size=\"51917824\"] \n  20 -> 23 [size =\"51917824\"]\n  21 [size=\"69505707\", alpha=\"0.15\", expect_size=\"20851712\"] \n  21 -> 24 [size =\"20851712\"]\n  21 -> 25 [size =\"20851712\"]\n  21 -> 26 [size =\"20851712\"]\n  21 -> 27 [size =\"20851712\"]\n  21 -> 28 [size =\"20851712\"]\n  22 [size=\"108011520\", alpha=\"0.13\", expect_size=\"32403456\"] \n  22 -> 24 [size =\"32403456\"]\n  22 -> 26 [size =\"32403456\"]\n  22 -> 27 [size =\"32403456\"]\n  22 -> 29 [size =\"32403456\"]\n  23 [size=\"74670080\", alpha=\"0.03\", expect_size=\"22401024\"] \n  23 -> 24 [size =\"22401024\"]\n  23 -> 26 [size =\"22401024\"]\n  23 -> 27 [size =\"22401024\"]\n  23 -> 28 [size =\"22401024\"]\n  24 [size=\"21169493\", alpha=\"0.06\", expect_size=\"6350848\"] \n  24 -> 30 [size =\"6350848\"]\n  24 -> 31 [size =\"6350848\"]\n  24 -> 32 [size =\"6350848\"]\n  24 -> 33 [size =\"6350848\"]\n  25 [size=\"154624000\", alpha=\"0.11\", expect_size=\"46387200\"] \n  25 -> 30 [size =\"46387200\"]\n  25 -> 32 [size =\"46387200\"]\n  25 -> 33 [size =\"46387200\"]\n  25 -> 33 [size =\"46387200\"]\n  26 [size=\"100771840\", alpha=\"0.16\", expect_size=\"30231552\"] \n  26 -> 33 [size =\"30231552\"]\n  26 -> 34 [size =\"30231552\"]\n  27 [size=\"39458133\", alpha=\"0.04\", expect_size=\"11837440\"] \n  27 -> 30 [size =\"11837440\"]\n  27 -> 32 [size =\"11837440\"]\n  27 -> 33 [size =\"11837440\"]\n  27 -> 34 [size =\"11837440\"]\n  28 [size=\"137519787\", alpha=\"0.10\", expect_size=\"41255936\"] \n  28 -> 30 [size =\"41255936\"]\n  28 -> 33 [size =\"41255936\"]\n  28 -> 34 [size =\"41255936\"]\n  28 -> 34 [size =\"41255936\"]\n  29 [size=\"99546453\", alpha=\"0.06\", expect_size=\"29863936\"] \n  29 -> 30 [size =\"29863936\"]\n  29 -> 32 [size =\"29863936\"]\n  29 -> 34 [size =\"29863936\"]\n  30 [size=\"135386453\", alpha=\"0.12\", expect_size=\"40615936\"] \n  30 -> 35 [size =\"40615936\"]\n  31 [size=\"46298453\", alpha=\"0.14\", expect_size=\"13889536\"] \n  31 -> 35 [size =\"13889536\"]\n  32 [size=\"167485440\", alpha=\"0.05\", expect_size=\"50245632\"] \n  33 [size=\"109680640\", alpha=\"0.14\", expect_size=\"32904192\"] \n  34 [size=\"135434240\", alpha=\"0.15\", expect_size=\"40630272\"] \n  34 -> 35 [size =\"40630272\"]\n  35 [size=\"27487573\", alpha=\"0.16\", expect_size=\"8246272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127910400\", alpha=\"0.12\", expect_size=\"51164160\"] \n  1 -> 21 [size =\"51164160\"]\n  1 -> 25 [size =\"51164160\"]\n  2 [size=\"67013120\", alpha=\"0.17\", expect_size=\"26805248\"] \n  2 -> 22 [size =\"26805248\"]\n  2 -> 25 [size =\"26805248\"]\n  3 [size=\"107315200\", alpha=\"0.08\", expect_size=\"42926080\"] \n  3 -> 15 [size =\"42926080\"]\n  3 -> 18 [size =\"42926080\"]\n  3 -> 19 [size =\"42926080\"]\n  3 -> 22 [size =\"42926080\"]\n  3 -> 25 [size =\"42926080\"]\n  4 [size=\"110476800\", alpha=\"0.10\", expect_size=\"44190720\"] \n  4 -> 19 [size =\"44190720\"]\n  5 [size=\"23224320\", alpha=\"0.04\", expect_size=\"9289728\"] \n  5 -> 25 [size =\"9289728\"]\n  6 [size=\"13322240\", alpha=\"0.13\", expect_size=\"5328896\"] \n  6 -> 21 [size =\"5328896\"]\n  7 [size=\"32788480\", alpha=\"0.02\", expect_size=\"13115392\"] \n  7 -> 19 [size =\"13115392\"]\n  8 [size=\"76413440\", alpha=\"0.16\", expect_size=\"30565376\"] \n  8 -> 17 [size =\"30565376\"]\n  8 -> 19 [size =\"30565376\"]\n  8 -> 21 [size =\"30565376\"]\n  9 [size=\"124833280\", alpha=\"0.07\", expect_size=\"49933312\"] \n  9 -> 15 [size =\"49933312\"]\n  9 -> 19 [size =\"49933312\"]\n  9 -> 21 [size =\"49933312\"]\n  9 -> 22 [size =\"49933312\"]\n  10 [size=\"38840320\", alpha=\"0.15\", expect_size=\"15536128\"] \n  10 -> 19 [size =\"15536128\"]\n  10 -> 19 [size =\"15536128\"]\n  10 -> 25 [size =\"15536128\"]\n  11 [size=\"99968000\", alpha=\"0.10\", expect_size=\"39987200\"] \n  11 -> 19 [size =\"39987200\"]\n  11 -> 21 [size =\"39987200\"]\n  11 -> 22 [size =\"39987200\"]\n  11 -> 24 [size =\"39987200\"]\n  12 [size=\"52149760\", alpha=\"0.15\", expect_size=\"20859904\"] \n  12 -> 15 [size =\"20859904\"]\n  12 -> 24 [size =\"20859904\"]\n  13 [size=\"35834880\", alpha=\"0.03\", expect_size=\"14333952\"] \n  13 -> 15 [size =\"14333952\"]\n  13 -> 17 [size =\"14333952\"]\n  13 -> 18 [size =\"14333952\"]\n  13 -> 22 [size =\"14333952\"]\n  14 [size=\"85322240\", alpha=\"0.06\", expect_size=\"34128896\"] \n  14 -> 16 [size =\"34128896\"]\n  14 -> 20 [size =\"34128896\"]\n  14 -> 23 [size =\"34128896\"]\n  14 -> 25 [size =\"34128896\"]\n  15 [size=\"23557120\", alpha=\"0.01\", expect_size=\"9422848\"] \n  15 -> 30 [size =\"9422848\"]\n  15 -> 31 [size =\"9422848\"]\n  15 -> 33 [size =\"9422848\"]\n  16 [size=\"46602240\", alpha=\"0.11\", expect_size=\"18640896\"] \n  16 -> 26 [size =\"18640896\"]\n  16 -> 30 [size =\"18640896\"]\n  16 -> 32 [size =\"18640896\"]\n  16 -> 33 [size =\"18640896\"]\n  16 -> 35 [size =\"18640896\"]\n  17 [size=\"122549760\", alpha=\"0.16\", expect_size=\"49019904\"] \n  17 -> 26 [size =\"49019904\"]\n  17 -> 27 [size =\"49019904\"]\n  17 -> 32 [size =\"49019904\"]\n  17 -> 33 [size =\"49019904\"]\n  17 -> 35 [size =\"49019904\"]\n  18 [size=\"15518720\", alpha=\"0.14\", expect_size=\"6207488\"] \n  18 -> 26 [size =\"6207488\"]\n  18 -> 27 [size =\"6207488\"]\n  18 -> 28 [size =\"6207488\"]\n  18 -> 30 [size =\"6207488\"]\n  18 -> 31 [size =\"6207488\"]\n  18 -> 32 [size =\"6207488\"]\n  18 -> 33 [size =\"6207488\"]\n  19 [size=\"112529920\", alpha=\"0.18\", expect_size=\"45011968\"] \n  19 -> 26 [size =\"45011968\"]\n  19 -> 28 [size =\"45011968\"]\n  19 -> 32 [size =\"45011968\"]\n  19 -> 33 [size =\"45011968\"]\n  19 -> 35 [size =\"45011968\"]\n  20 [size=\"35566080\", alpha=\"0.18\", expect_size=\"14226432\"] \n  20 -> 26 [size =\"14226432\"]\n  20 -> 30 [size =\"14226432\"]\n  20 -> 32 [size =\"14226432\"]\n  20 -> 35 [size =\"14226432\"]\n  21 [size=\"121267200\", alpha=\"0.18\", expect_size=\"48506880\"] \n  21 -> 26 [size =\"48506880\"]\n  21 -> 27 [size =\"48506880\"]\n  21 -> 28 [size =\"48506880\"]\n  21 -> 30 [size =\"48506880\"]\n  22 [size=\"59645440\", alpha=\"0.08\", expect_size=\"23858176\"] \n  22 -> 27 [size =\"23858176\"]\n  22 -> 31 [size =\"23858176\"]\n  22 -> 32 [size =\"23858176\"]\n  23 [size=\"30177280\", alpha=\"0.13\", expect_size=\"12070912\"] \n  23 -> 31 [size =\"12070912\"]\n  24 [size=\"50444800\", alpha=\"0.15\", expect_size=\"20177920\"] \n  24 -> 31 [size =\"20177920\"]\n  24 -> 33 [size =\"20177920\"]\n  24 -> 35 [size =\"20177920\"]\n  25 [size=\"87951360\", alpha=\"0.18\", expect_size=\"35180544\"] \n  25 -> 28 [size =\"35180544\"]\n  25 -> 29 [size =\"35180544\"]\n  25 -> 33 [size =\"35180544\"]\n  25 -> 34 [size =\"35180544\"]\n  25 -> 35 [size =\"35180544\"]\n  26 [size=\"94103040\", alpha=\"0.02\", expect_size=\"37641216\"] \n  27 [size=\"42590720\", alpha=\"0.08\", expect_size=\"17036288\"] \n  28 [size=\"16235520\", alpha=\"0.06\", expect_size=\"6494208\"] \n  29 [size=\"97128960\", alpha=\"0.03\", expect_size=\"38851584\"] \n  30 [size=\"83136000\", alpha=\"0.03\", expect_size=\"33254400\"] \n  31 [size=\"73070080\", alpha=\"0.19\", expect_size=\"29228032\"] \n  32 [size=\"63767040\", alpha=\"0.01\", expect_size=\"25506816\"] \n  33 [size=\"109137920\", alpha=\"0.07\", expect_size=\"43655168\"] \n  34 [size=\"67463680\", alpha=\"0.06\", expect_size=\"26985472\"] \n  35 [size=\"36111360\", alpha=\"0.06\", expect_size=\"14444544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43008000\", alpha=\"0.08\", expect_size=\"17203200\"] \n  1 -> 2 [size =\"17203200\"]\n  2 [size=\"70763520\", alpha=\"0.09\", expect_size=\"28305408\"] \n  2 -> 3 [size =\"28305408\"]\n  2 -> 4 [size =\"28305408\"]\n  3 [size=\"95226880\", alpha=\"0.11\", expect_size=\"38090752\"] \n  4 [size=\"109614080\", alpha=\"0.05\", expect_size=\"43845632\"] \n  4 -> 5 [size =\"43845632\"]\n  5 [size=\"93795840\", alpha=\"0.15\", expect_size=\"37518336\"] \n  5 -> 6 [size =\"37518336\"]\n  6 [size=\"28277760\", alpha=\"0.17\", expect_size=\"11311104\"] \n  6 -> 7 [size =\"11311104\"]\n  6 -> 8 [size =\"11311104\"]\n  7 [size=\"117291520\", alpha=\"0.17\", expect_size=\"46916608\"] \n  7 -> 9 [size =\"46916608\"]\n  8 [size=\"129495040\", alpha=\"0.05\", expect_size=\"51798016\"] \n  8 -> 9 [size =\"51798016\"]\n  8 -> 10 [size =\"51798016\"]\n  9 [size=\"110888960\", alpha=\"0.11\", expect_size=\"44355584\"] \n  9 -> 11 [size =\"44355584\"]\n  9 -> 12 [size =\"44355584\"]\n  10 [size=\"125987840\", alpha=\"0.01\", expect_size=\"50395136\"] \n  10 -> 11 [size =\"50395136\"]\n  11 [size=\"111715840\", alpha=\"0.08\", expect_size=\"44686336\"] \n  11 -> 13 [size =\"44686336\"]\n  12 [size=\"40284160\", alpha=\"0.18\", expect_size=\"16113664\"] \n  13 [size=\"93601280\", alpha=\"0.20\", expect_size=\"37440512\"] \n  13 -> 14 [size =\"37440512\"]\n  14 [size=\"42777600\", alpha=\"0.13\", expect_size=\"17111040\"] \n  14 -> 15 [size =\"17111040\"]\n  15 [size=\"72596480\", alpha=\"0.15\", expect_size=\"29038592\"] \n  15 -> 16 [size =\"29038592\"]\n  16 [size=\"40314880\", alpha=\"0.02\", expect_size=\"16125952\"] \n  16 -> 17 [size =\"16125952\"]\n  17 [size=\"23930880\", alpha=\"0.09\", expect_size=\"9572352\"] \n  17 -> 18 [size =\"9572352\"]\n  17 -> 19 [size =\"9572352\"]\n  18 [size=\"127068160\", alpha=\"0.10\", expect_size=\"50827264\"] \n  18 -> 21 [size =\"50827264\"]\n  19 [size=\"41239040\", alpha=\"0.17\", expect_size=\"16495616\"] \n  19 -> 20 [size =\"16495616\"]\n  20 [size=\"107253760\", alpha=\"0.11\", expect_size=\"42901504\"] \n  20 -> 22 [size =\"42901504\"]\n  21 [size=\"115468800\", alpha=\"0.10\", expect_size=\"46187520\"] \n  21 -> 22 [size =\"46187520\"]\n  22 [size=\"47590400\", alpha=\"0.19\", expect_size=\"19036160\"] \n  22 -> 23 [size =\"19036160\"]\n  23 [size=\"35169280\", alpha=\"0.02\", expect_size=\"14067712\"] \n  23 -> 24 [size =\"14067712\"]\n  23 -> 25 [size =\"14067712\"]\n  24 [size=\"34204160\", alpha=\"0.01\", expect_size=\"13681664\"] \n  24 -> 26 [size =\"13681664\"]\n  25 [size=\"108439040\", alpha=\"0.14\", expect_size=\"43375616\"] \n  25 -> 26 [size =\"43375616\"]\n  26 [size=\"78261760\", alpha=\"0.10\", expect_size=\"31304704\"] \n  26 -> 27 [size =\"31304704\"]\n  26 -> 28 [size =\"31304704\"]\n  27 [size=\"90984960\", alpha=\"0.03\", expect_size=\"36393984\"] \n  27 -> 29 [size =\"36393984\"]\n  28 [size=\"24632320\", alpha=\"0.15\", expect_size=\"9852928\"] \n  28 -> 29 [size =\"9852928\"]\n  29 [size=\"83432960\", alpha=\"0.05\", expect_size=\"33373184\"] \n  29 -> 30 [size =\"33373184\"]\n  30 [size=\"66508800\", alpha=\"0.13\", expect_size=\"26603520\"] \n  30 -> 31 [size =\"26603520\"]\n  31 [size=\"14538240\", alpha=\"0.19\", expect_size=\"5815296\"] \n  31 -> 32 [size =\"5815296\"]\n  32 [size=\"75392000\", alpha=\"0.09\", expect_size=\"30156800\"] \n  32 -> 33 [size =\"30156800\"]\n  32 -> 34 [size =\"30156800\"]\n  33 [size=\"70794240\", alpha=\"0.12\", expect_size=\"28317696\"] \n  34 [size=\"82869760\", alpha=\"0.01\", expect_size=\"33147904\"] \n  34 -> 35 [size =\"33147904\"]\n  35 [size=\"90160640\", alpha=\"0.19\", expect_size=\"36064256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18999296\", alpha=\"0.09\", expect_size=\"9499648\"] \n  2 [size=\"64733184\", alpha=\"0.17\", expect_size=\"32366592\"] \n  2 -> 5 [size =\"32366592\"]\n  2 -> 6 [size =\"32366592\"]\n  3 [size=\"53139456\", alpha=\"0.09\", expect_size=\"26569728\"] \n  3 -> 6 [size =\"26569728\"]\n  3 -> 7 [size =\"26569728\"]\n  4 [size=\"82509824\", alpha=\"0.13\", expect_size=\"41254912\"] \n  4 -> 5 [size =\"41254912\"]\n  4 -> 7 [size =\"41254912\"]\n  5 [size=\"99751936\", alpha=\"0.01\", expect_size=\"49875968\"] \n  5 -> 8 [size =\"49875968\"]\n  5 -> 12 [size =\"49875968\"]\n  6 [size=\"66349056\", alpha=\"0.17\", expect_size=\"33174528\"] \n  6 -> 8 [size =\"33174528\"]\n  6 -> 9 [size =\"33174528\"]\n  6 -> 10 [size =\"33174528\"]\n  6 -> 11 [size =\"33174528\"]\n  7 [size=\"27348992\", alpha=\"0.02\", expect_size=\"13674496\"] \n  7 -> 9 [size =\"13674496\"]\n  7 -> 10 [size =\"13674496\"]\n  7 -> 11 [size =\"13674496\"]\n  8 [size=\"69283840\", alpha=\"0.07\", expect_size=\"34641920\"] \n  8 -> 13 [size =\"34641920\"]\n  8 -> 14 [size =\"34641920\"]\n  8 -> 15 [size =\"34641920\"]\n  9 [size=\"72538112\", alpha=\"0.02\", expect_size=\"36269056\"] \n  9 -> 13 [size =\"36269056\"]\n  9 -> 14 [size =\"36269056\"]\n  9 -> 15 [size =\"36269056\"]\n  10 [size=\"24510464\", alpha=\"0.00\", expect_size=\"12255232\"] \n  10 -> 14 [size =\"12255232\"]\n  10 -> 15 [size =\"12255232\"]\n  11 [size=\"67641344\", alpha=\"0.13\", expect_size=\"33820672\"] \n  11 -> 14 [size =\"33820672\"]\n  11 -> 15 [size =\"33820672\"]\n  12 [size=\"17121280\", alpha=\"0.12\", expect_size=\"8560640\"] \n  12 -> 13 [size =\"8560640\"]\n  12 -> 16 [size =\"8560640\"]\n  12 -> 17 [size =\"8560640\"]\n  13 [size=\"98211840\", alpha=\"0.11\", expect_size=\"49105920\"] \n  13 -> 18 [size =\"49105920\"]\n  14 [size=\"47986688\", alpha=\"0.16\", expect_size=\"23993344\"] \n  14 -> 18 [size =\"23993344\"]\n  15 [size=\"16564224\", alpha=\"0.14\", expect_size=\"8282112\"] \n  15 -> 18 [size =\"8282112\"]\n  15 -> 19 [size =\"8282112\"]\n  16 [size=\"19834880\", alpha=\"0.14\", expect_size=\"9917440\"] \n  16 -> 18 [size =\"9917440\"]\n  16 -> 20 [size =\"9917440\"]\n  17 [size=\"98969600\", alpha=\"0.19\", expect_size=\"49484800\"] \n  17 -> 21 [size =\"49484800\"]\n  18 [size=\"12177408\", alpha=\"0.13\", expect_size=\"6088704\"] \n  18 -> 22 [size =\"6088704\"]\n  18 -> 24 [size =\"6088704\"]\n  18 -> 25 [size =\"6088704\"]\n  19 [size=\"45615104\", alpha=\"0.01\", expect_size=\"22807552\"] \n  19 -> 25 [size =\"22807552\"]\n  20 [size=\"56133632\", alpha=\"0.20\", expect_size=\"28066816\"] \n  20 -> 24 [size =\"28066816\"]\n  21 [size=\"57722880\", alpha=\"0.00\", expect_size=\"28861440\"] \n  21 -> 23 [size =\"28861440\"]\n  22 [size=\"25587712\", alpha=\"0.12\", expect_size=\"12793856\"] \n  22 -> 28 [size =\"12793856\"]\n  22 -> 28 [size =\"12793856\"]\n  22 -> 30 [size =\"12793856\"]\n  23 [size=\"81901568\", alpha=\"0.13\", expect_size=\"40950784\"] \n  23 -> 26 [size =\"40950784\"]\n  23 -> 29 [size =\"40950784\"]\n  24 [size=\"37468160\", alpha=\"0.09\", expect_size=\"18734080\"] \n  24 -> 30 [size =\"18734080\"]\n  24 -> 31 [size =\"18734080\"]\n  25 [size=\"19918848\", alpha=\"0.04\", expect_size=\"9959424\"] \n  25 -> 27 [size =\"9959424\"]\n  25 -> 28 [size =\"9959424\"]\n  25 -> 31 [size =\"9959424\"]\n  26 [size=\"86958080\", alpha=\"0.10\", expect_size=\"43479040\"] \n  26 -> 35 [size =\"43479040\"]\n  27 [size=\"56840192\", alpha=\"0.01\", expect_size=\"28420096\"] \n  27 -> 32 [size =\"28420096\"]\n  27 -> 35 [size =\"28420096\"]\n  28 [size=\"50118656\", alpha=\"0.04\", expect_size=\"25059328\"] \n  28 -> 33 [size =\"25059328\"]\n  28 -> 35 [size =\"25059328\"]\n  29 [size=\"15562752\", alpha=\"0.20\", expect_size=\"7781376\"] \n  29 -> 35 [size =\"7781376\"]\n  29 -> 35 [size =\"7781376\"]\n  30 [size=\"22384640\", alpha=\"0.19\", expect_size=\"11192320\"] \n  30 -> 34 [size =\"11192320\"]\n  31 [size=\"21835776\", alpha=\"0.10\", expect_size=\"10917888\"] \n  32 [size=\"22427648\", alpha=\"0.02\", expect_size=\"11213824\"] \n  33 [size=\"78411776\", alpha=\"0.13\", expect_size=\"39205888\"] \n  34 [size=\"43700224\", alpha=\"0.12\", expect_size=\"21850112\"] \n  35 [size=\"84686848\", alpha=\"0.13\", expect_size=\"42343424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48019456\", alpha=\"0.19\", expect_size=\"24009728\"] \n  1 -> 17 [size =\"24009728\"]\n  1 -> 18 [size =\"24009728\"]\n  1 -> 24 [size =\"24009728\"]\n  1 -> 27 [size =\"24009728\"]\n  2 [size=\"22550528\", alpha=\"0.04\", expect_size=\"11275264\"] \n  2 -> 18 [size =\"11275264\"]\n  2 -> 18 [size =\"11275264\"]\n  2 -> 23 [size =\"11275264\"]\n  2 -> 24 [size =\"11275264\"]\n  2 -> 25 [size =\"11275264\"]\n  2 -> 29 [size =\"11275264\"]\n  3 [size=\"87158784\", alpha=\"0.18\", expect_size=\"43579392\"] \n  3 -> 19 [size =\"43579392\"]\n  3 -> 21 [size =\"43579392\"]\n  3 -> 24 [size =\"43579392\"]\n  3 -> 24 [size =\"43579392\"]\n  4 [size=\"80359424\", alpha=\"0.19\", expect_size=\"40179712\"] \n  4 -> 17 [size =\"40179712\"]\n  4 -> 21 [size =\"40179712\"]\n  4 -> 29 [size =\"40179712\"]\n  5 [size=\"90925056\", alpha=\"0.06\", expect_size=\"45462528\"] \n  5 -> 18 [size =\"45462528\"]\n  5 -> 20 [size =\"45462528\"]\n  5 -> 21 [size =\"45462528\"]\n  6 [size=\"73920512\", alpha=\"0.02\", expect_size=\"36960256\"] \n  6 -> 17 [size =\"36960256\"]\n  6 -> 19 [size =\"36960256\"]\n  6 -> 21 [size =\"36960256\"]\n  6 -> 24 [size =\"36960256\"]\n  6 -> 26 [size =\"36960256\"]\n  6 -> 27 [size =\"36960256\"]\n  7 [size=\"11040768\", alpha=\"0.07\", expect_size=\"5520384\"] \n  7 -> 18 [size =\"5520384\"]\n  7 -> 19 [size =\"5520384\"]\n  7 -> 23 [size =\"5520384\"]\n  7 -> 24 [size =\"5520384\"]\n  7 -> 28 [size =\"5520384\"]\n  7 -> 29 [size =\"5520384\"]\n  8 [size=\"51161088\", alpha=\"0.12\", expect_size=\"25580544\"] \n  8 -> 16 [size =\"25580544\"]\n  8 -> 21 [size =\"25580544\"]\n  8 -> 22 [size =\"25580544\"]\n  8 -> 25 [size =\"25580544\"]\n  8 -> 26 [size =\"25580544\"]\n  8 -> 29 [size =\"25580544\"]\n  9 [size=\"70934528\", alpha=\"0.05\", expect_size=\"35467264\"] \n  9 -> 21 [size =\"35467264\"]\n  9 -> 21 [size =\"35467264\"]\n  9 -> 24 [size =\"35467264\"]\n  9 -> 25 [size =\"35467264\"]\n  9 -> 26 [size =\"35467264\"]\n  9 -> 27 [size =\"35467264\"]\n  9 -> 29 [size =\"35467264\"]\n  10 [size=\"99102720\", alpha=\"0.02\", expect_size=\"49551360\"] \n  10 -> 17 [size =\"49551360\"]\n  10 -> 18 [size =\"49551360\"]\n  10 -> 20 [size =\"49551360\"]\n  10 -> 26 [size =\"49551360\"]\n  10 -> 29 [size =\"49551360\"]\n  11 [size=\"36726784\", alpha=\"0.09\", expect_size=\"18363392\"] \n  11 -> 18 [size =\"18363392\"]\n  11 -> 20 [size =\"18363392\"]\n  11 -> 20 [size =\"18363392\"]\n  11 -> 24 [size =\"18363392\"]\n  11 -> 29 [size =\"18363392\"]\n  12 [size=\"29696000\", alpha=\"0.00\", expect_size=\"14848000\"] \n  12 -> 18 [size =\"14848000\"]\n  12 -> 19 [size =\"14848000\"]\n  12 -> 20 [size =\"14848000\"]\n  12 -> 21 [size =\"14848000\"]\n  12 -> 25 [size =\"14848000\"]\n  12 -> 26 [size =\"14848000\"]\n  12 -> 29 [size =\"14848000\"]\n  13 [size=\"48734208\", alpha=\"0.00\", expect_size=\"24367104\"] \n  13 -> 18 [size =\"24367104\"]\n  13 -> 20 [size =\"24367104\"]\n  13 -> 23 [size =\"24367104\"]\n  13 -> 24 [size =\"24367104\"]\n  13 -> 29 [size =\"24367104\"]\n  14 [size=\"39233536\", alpha=\"0.19\", expect_size=\"19616768\"] \n  14 -> 23 [size =\"19616768\"]\n  14 -> 29 [size =\"19616768\"]\n  15 [size=\"33202176\", alpha=\"0.16\", expect_size=\"16601088\"] \n  15 -> 16 [size =\"16601088\"]\n  15 -> 18 [size =\"16601088\"]\n  15 -> 21 [size =\"16601088\"]\n  15 -> 26 [size =\"16601088\"]\n  15 -> 27 [size =\"16601088\"]\n  16 [size=\"60839936\", alpha=\"0.16\", expect_size=\"30419968\"] \n  16 -> 30 [size =\"30419968\"]\n  16 -> 34 [size =\"30419968\"]\n  17 [size=\"69523456\", alpha=\"0.05\", expect_size=\"34761728\"] \n  17 -> 30 [size =\"34761728\"]\n  17 -> 32 [size =\"34761728\"]\n  17 -> 34 [size =\"34761728\"]\n  18 [size=\"101226496\", alpha=\"0.11\", expect_size=\"50613248\"] \n  18 -> 30 [size =\"50613248\"]\n  18 -> 34 [size =\"50613248\"]\n  19 [size=\"63512576\", alpha=\"0.06\", expect_size=\"31756288\"] \n  19 -> 30 [size =\"31756288\"]\n  19 -> 33 [size =\"31756288\"]\n  20 [size=\"87422976\", alpha=\"0.01\", expect_size=\"43711488\"] \n  20 -> 30 [size =\"43711488\"]\n  20 -> 32 [size =\"43711488\"]\n  20 -> 34 [size =\"43711488\"]\n  21 [size=\"98236416\", alpha=\"0.04\", expect_size=\"49118208\"] \n  21 -> 34 [size =\"49118208\"]\n  21 -> 35 [size =\"49118208\"]\n  22 [size=\"48631808\", alpha=\"0.10\", expect_size=\"24315904\"] \n  22 -> 31 [size =\"24315904\"]\n  23 [size=\"50735104\", alpha=\"0.12\", expect_size=\"25367552\"] \n  23 -> 34 [size =\"25367552\"]\n  23 -> 35 [size =\"25367552\"]\n  24 [size=\"51380224\", alpha=\"0.09\", expect_size=\"25690112\"] \n  24 -> 32 [size =\"25690112\"]\n  24 -> 34 [size =\"25690112\"]\n  25 [size=\"48621568\", alpha=\"0.03\", expect_size=\"24310784\"] \n  25 -> 30 [size =\"24310784\"]\n  25 -> 33 [size =\"24310784\"]\n  26 [size=\"30038016\", alpha=\"0.10\", expect_size=\"15019008\"] \n  26 -> 30 [size =\"15019008\"]\n  26 -> 32 [size =\"15019008\"]\n  26 -> 35 [size =\"15019008\"]\n  27 [size=\"10731520\", alpha=\"0.17\", expect_size=\"5365760\"] \n  27 -> 30 [size =\"5365760\"]\n  27 -> 31 [size =\"5365760\"]\n  27 -> 32 [size =\"5365760\"]\n  27 -> 34 [size =\"5365760\"]\n  28 [size=\"33148928\", alpha=\"0.13\", expect_size=\"16574464\"] \n  28 -> 32 [size =\"16574464\"]\n  28 -> 34 [size =\"16574464\"]\n  28 -> 35 [size =\"16574464\"]\n  29 [size=\"83814400\", alpha=\"0.02\", expect_size=\"41907200\"] \n  29 -> 32 [size =\"41907200\"]\n  29 -> 34 [size =\"41907200\"]\n  30 [size=\"18204672\", alpha=\"0.10\", expect_size=\"9102336\"] \n  31 [size=\"24219648\", alpha=\"0.03\", expect_size=\"12109824\"] \n  32 [size=\"45023232\", alpha=\"0.20\", expect_size=\"22511616\"] \n  33 [size=\"92682240\", alpha=\"0.05\", expect_size=\"46341120\"] \n  34 [size=\"55128064\", alpha=\"0.17\", expect_size=\"27564032\"] \n  35 [size=\"96606208\", alpha=\"0.13\", expect_size=\"48303104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165795840\", alpha=\"0.15\", expect_size=\"49738752\"] \n  1 -> 32 [size =\"49738752\"]\n  1 -> 33 [size =\"49738752\"]\n  1 -> 34 [size =\"49738752\"]\n  2 [size=\"74936320\", alpha=\"0.13\", expect_size=\"22480896\"] \n  2 -> 30 [size =\"22480896\"]\n  2 -> 33 [size =\"22480896\"]\n  3 [size=\"144936960\", alpha=\"0.10\", expect_size=\"43481088\"] \n  3 -> 31 [size =\"43481088\"]\n  3 -> 33 [size =\"43481088\"]\n  4 [size=\"52101120\", alpha=\"0.11\", expect_size=\"15630336\"] \n  4 -> 31 [size =\"15630336\"]\n  4 -> 32 [size =\"15630336\"]\n  4 -> 33 [size =\"15630336\"]\n  5 [size=\"82838187\", alpha=\"0.04\", expect_size=\"24851456\"] \n  5 -> 31 [size =\"24851456\"]\n  5 -> 32 [size =\"24851456\"]\n  5 -> 33 [size =\"24851456\"]\n  6 [size=\"145950720\", alpha=\"0.06\", expect_size=\"43785216\"] \n  6 -> 30 [size =\"43785216\"]\n  7 [size=\"132485120\", alpha=\"0.07\", expect_size=\"39745536\"] \n  7 -> 30 [size =\"39745536\"]\n  7 -> 32 [size =\"39745536\"]\n  8 [size=\"28736853\", alpha=\"0.05\", expect_size=\"8621056\"] \n  8 -> 30 [size =\"8621056\"]\n  9 [size=\"19391147\", alpha=\"0.09\", expect_size=\"5817344\"] \n  9 -> 34 [size =\"5817344\"]\n  10 [size=\"76001280\", alpha=\"0.03\", expect_size=\"22800384\"] \n  10 -> 31 [size =\"22800384\"]\n  10 -> 32 [size =\"22800384\"]\n  10 -> 33 [size =\"22800384\"]\n  11 [size=\"26630827\", alpha=\"0.14\", expect_size=\"7989248\"] \n  11 -> 30 [size =\"7989248\"]\n  11 -> 32 [size =\"7989248\"]\n  11 -> 33 [size =\"7989248\"]\n  11 -> 34 [size =\"7989248\"]\n  12 [size=\"140916053\", alpha=\"0.01\", expect_size=\"42274816\"] \n  12 -> 30 [size =\"42274816\"]\n  12 -> 32 [size =\"42274816\"]\n  13 [size=\"83787093\", alpha=\"0.01\", expect_size=\"25136128\"] \n  13 -> 30 [size =\"25136128\"]\n  13 -> 32 [size =\"25136128\"]\n  14 [size=\"162816000\", alpha=\"0.02\", expect_size=\"48844800\"] \n  14 -> 30 [size =\"48844800\"]\n  14 -> 32 [size =\"48844800\"]\n  14 -> 33 [size =\"48844800\"]\n  15 [size=\"94665387\", alpha=\"0.17\", expect_size=\"28399616\"] \n  15 -> 30 [size =\"28399616\"]\n  15 -> 31 [size =\"28399616\"]\n  16 [size=\"125361493\", alpha=\"0.08\", expect_size=\"37608448\"] \n  16 -> 30 [size =\"37608448\"]\n  16 -> 32 [size =\"37608448\"]\n  17 [size=\"17800533\", alpha=\"0.01\", expect_size=\"5340160\"] \n  17 -> 30 [size =\"5340160\"]\n  17 -> 33 [size =\"5340160\"]\n  17 -> 35 [size =\"5340160\"]\n  18 [size=\"72632320\", alpha=\"0.19\", expect_size=\"21789696\"] \n  18 -> 30 [size =\"21789696\"]\n  19 [size=\"113469440\", alpha=\"0.09\", expect_size=\"34040832\"] \n  19 -> 31 [size =\"34040832\"]\n  20 [size=\"27859627\", alpha=\"0.13\", expect_size=\"8357888\"] \n  20 -> 32 [size =\"8357888\"]\n  21 [size=\"53770240\", alpha=\"0.15\", expect_size=\"16131072\"] \n  22 [size=\"164512427\", alpha=\"0.04\", expect_size=\"49353728\"] \n  22 -> 33 [size =\"49353728\"]\n  23 [size=\"173243733\", alpha=\"0.10\", expect_size=\"51973120\"] \n  23 -> 31 [size =\"51973120\"]\n  23 -> 32 [size =\"51973120\"]\n  23 -> 33 [size =\"51973120\"]\n  24 [size=\"22101333\", alpha=\"0.00\", expect_size=\"6630400\"] \n  24 -> 33 [size =\"6630400\"]\n  24 -> 34 [size =\"6630400\"]\n  25 [size=\"35304107\", alpha=\"0.19\", expect_size=\"10591232\"] \n  25 -> 32 [size =\"10591232\"]\n  25 -> 33 [size =\"10591232\"]\n  26 [size=\"170171733\", alpha=\"0.14\", expect_size=\"51051520\"] \n  26 -> 32 [size =\"51051520\"]\n  26 -> 33 [size =\"51051520\"]\n  27 [size=\"78629547\", alpha=\"0.03\", expect_size=\"23588864\"] \n  27 -> 30 [size =\"23588864\"]\n  27 -> 31 [size =\"23588864\"]\n  27 -> 33 [size =\"23588864\"]\n  28 [size=\"83995307\", alpha=\"0.14\", expect_size=\"25198592\"] \n  28 -> 34 [size =\"25198592\"]\n  29 [size=\"72321707\", alpha=\"0.05\", expect_size=\"21696512\"] \n  30 [size=\"144390827\", alpha=\"0.04\", expect_size=\"43317248\"] \n  31 [size=\"86080853\", alpha=\"0.04\", expect_size=\"25824256\"] \n  32 [size=\"45704533\", alpha=\"0.19\", expect_size=\"13711360\"] \n  33 [size=\"80728747\", alpha=\"0.03\", expect_size=\"24218624\"] \n  34 [size=\"161331200\", alpha=\"0.05\", expect_size=\"48399360\"] \n  35 [size=\"164843520\", alpha=\"0.18\", expect_size=\"49453056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93189120\", alpha=\"0.06\", expect_size=\"37275648\"] \n  1 -> 23 [size =\"37275648\"]\n  1 -> 24 [size =\"37275648\"]\n  1 -> 25 [size =\"37275648\"]\n  1 -> 29 [size =\"37275648\"]\n  1 -> 33 [size =\"37275648\"]\n  2 [size=\"80660480\", alpha=\"0.18\", expect_size=\"32264192\"] \n  2 -> 25 [size =\"32264192\"]\n  2 -> 32 [size =\"32264192\"]\n  2 -> 33 [size =\"32264192\"]\n  2 -> 34 [size =\"32264192\"]\n  3 [size=\"90007040\", alpha=\"0.01\", expect_size=\"36002816\"] \n  3 -> 24 [size =\"36002816\"]\n  3 -> 25 [size =\"36002816\"]\n  3 -> 33 [size =\"36002816\"]\n  3 -> 34 [size =\"36002816\"]\n  4 [size=\"112952320\", alpha=\"0.18\", expect_size=\"45180928\"] \n  4 -> 25 [size =\"45180928\"]\n  4 -> 25 [size =\"45180928\"]\n  4 -> 27 [size =\"45180928\"]\n  4 -> 33 [size =\"45180928\"]\n  4 -> 34 [size =\"45180928\"]\n  5 [size=\"35714560\", alpha=\"0.07\", expect_size=\"14285824\"] \n  5 -> 23 [size =\"14285824\"]\n  5 -> 24 [size =\"14285824\"]\n  5 -> 25 [size =\"14285824\"]\n  5 -> 27 [size =\"14285824\"]\n  5 -> 32 [size =\"14285824\"]\n  5 -> 33 [size =\"14285824\"]\n  6 [size=\"124695040\", alpha=\"0.08\", expect_size=\"49878016\"] \n  6 -> 23 [size =\"49878016\"]\n  6 -> 24 [size =\"49878016\"]\n  6 -> 27 [size =\"49878016\"]\n  6 -> 33 [size =\"49878016\"]\n  7 [size=\"98490880\", alpha=\"0.06\", expect_size=\"39396352\"] \n  7 -> 23 [size =\"39396352\"]\n  7 -> 25 [size =\"39396352\"]\n  7 -> 27 [size =\"39396352\"]\n  7 -> 33 [size =\"39396352\"]\n  7 -> 34 [size =\"39396352\"]\n  8 [size=\"54451200\", alpha=\"0.09\", expect_size=\"21780480\"] \n  8 -> 24 [size =\"21780480\"]\n  8 -> 25 [size =\"21780480\"]\n  8 -> 27 [size =\"21780480\"]\n  8 -> 34 [size =\"21780480\"]\n  9 [size=\"63083520\", alpha=\"0.10\", expect_size=\"25233408\"] \n  9 -> 24 [size =\"25233408\"]\n  9 -> 25 [size =\"25233408\"]\n  9 -> 27 [size =\"25233408\"]\n  9 -> 33 [size =\"25233408\"]\n  9 -> 34 [size =\"25233408\"]\n  10 [size=\"60792320\", alpha=\"0.11\", expect_size=\"24316928\"] \n  10 -> 23 [size =\"24316928\"]\n  10 -> 24 [size =\"24316928\"]\n  10 -> 25 [size =\"24316928\"]\n  10 -> 26 [size =\"24316928\"]\n  10 -> 27 [size =\"24316928\"]\n  10 -> 29 [size =\"24316928\"]\n  10 -> 31 [size =\"24316928\"]\n  10 -> 33 [size =\"24316928\"]\n  11 [size=\"125616640\", alpha=\"0.12\", expect_size=\"50246656\"] \n  11 -> 23 [size =\"50246656\"]\n  11 -> 24 [size =\"50246656\"]\n  11 -> 25 [size =\"50246656\"]\n  11 -> 27 [size =\"50246656\"]\n  11 -> 27 [size =\"50246656\"]\n  11 -> 29 [size =\"50246656\"]\n  11 -> 33 [size =\"50246656\"]\n  11 -> 33 [size =\"50246656\"]\n  11 -> 34 [size =\"50246656\"]\n  12 [size=\"44070400\", alpha=\"0.17\", expect_size=\"17628160\"] \n  12 -> 23 [size =\"17628160\"]\n  12 -> 24 [size =\"17628160\"]\n  12 -> 25 [size =\"17628160\"]\n  12 -> 27 [size =\"17628160\"]\n  12 -> 32 [size =\"17628160\"]\n  12 -> 34 [size =\"17628160\"]\n  13 [size=\"35072000\", alpha=\"0.18\", expect_size=\"14028800\"] \n  13 -> 23 [size =\"14028800\"]\n  13 -> 24 [size =\"14028800\"]\n  13 -> 27 [size =\"14028800\"]\n  13 -> 27 [size =\"14028800\"]\n  13 -> 32 [size =\"14028800\"]\n  13 -> 33 [size =\"14028800\"]\n  13 -> 34 [size =\"14028800\"]\n  14 [size=\"40622080\", alpha=\"0.01\", expect_size=\"16248832\"] \n  14 -> 23 [size =\"16248832\"]\n  14 -> 24 [size =\"16248832\"]\n  14 -> 27 [size =\"16248832\"]\n  14 -> 34 [size =\"16248832\"]\n  15 [size=\"29160960\", alpha=\"0.02\", expect_size=\"11664384\"] \n  15 -> 23 [size =\"11664384\"]\n  15 -> 24 [size =\"11664384\"]\n  15 -> 32 [size =\"11664384\"]\n  15 -> 33 [size =\"11664384\"]\n  15 -> 34 [size =\"11664384\"]\n  16 [size=\"70510080\", alpha=\"0.05\", expect_size=\"28204032\"] \n  16 -> 23 [size =\"28204032\"]\n  16 -> 24 [size =\"28204032\"]\n  16 -> 25 [size =\"28204032\"]\n  16 -> 27 [size =\"28204032\"]\n  16 -> 29 [size =\"28204032\"]\n  16 -> 33 [size =\"28204032\"]\n  17 [size=\"115619840\", alpha=\"0.00\", expect_size=\"46247936\"] \n  17 -> 23 [size =\"46247936\"]\n  17 -> 24 [size =\"46247936\"]\n  17 -> 27 [size =\"46247936\"]\n  17 -> 27 [size =\"46247936\"]\n  18 [size=\"35619840\", alpha=\"0.05\", expect_size=\"14247936\"] \n  18 -> 23 [size =\"14247936\"]\n  18 -> 24 [size =\"14247936\"]\n  18 -> 27 [size =\"14247936\"]\n  18 -> 33 [size =\"14247936\"]\n  18 -> 34 [size =\"14247936\"]\n  19 [size=\"87695360\", alpha=\"0.08\", expect_size=\"35078144\"] \n  19 -> 23 [size =\"35078144\"]\n  19 -> 24 [size =\"35078144\"]\n  19 -> 27 [size =\"35078144\"]\n  19 -> 29 [size =\"35078144\"]\n  19 -> 30 [size =\"35078144\"]\n  19 -> 33 [size =\"35078144\"]\n  20 [size=\"30064640\", alpha=\"0.19\", expect_size=\"12025856\"] \n  20 -> 23 [size =\"12025856\"]\n  20 -> 24 [size =\"12025856\"]\n  20 -> 28 [size =\"12025856\"]\n  20 -> 30 [size =\"12025856\"]\n  20 -> 33 [size =\"12025856\"]\n  20 -> 34 [size =\"12025856\"]\n  21 [size=\"92106240\", alpha=\"0.04\", expect_size=\"36842496\"] \n  21 -> 23 [size =\"36842496\"]\n  21 -> 24 [size =\"36842496\"]\n  21 -> 25 [size =\"36842496\"]\n  21 -> 26 [size =\"36842496\"]\n  21 -> 28 [size =\"36842496\"]\n  21 -> 30 [size =\"36842496\"]\n  21 -> 34 [size =\"36842496\"]\n  22 [size=\"47633920\", alpha=\"0.00\", expect_size=\"19053568\"] \n  22 -> 23 [size =\"19053568\"]\n  22 -> 24 [size =\"19053568\"]\n  22 -> 25 [size =\"19053568\"]\n  22 -> 27 [size =\"19053568\"]\n  22 -> 28 [size =\"19053568\"]\n  22 -> 32 [size =\"19053568\"]\n  22 -> 33 [size =\"19053568\"]\n  22 -> 34 [size =\"19053568\"]\n  23 [size=\"30228480\", alpha=\"0.10\", expect_size=\"12091392\"] \n  23 -> 35 [size =\"12091392\"]\n  24 [size=\"15677440\", alpha=\"0.16\", expect_size=\"6270976\"] \n  25 [size=\"21557760\", alpha=\"0.06\", expect_size=\"8623104\"] \n  25 -> 35 [size =\"8623104\"]\n  26 [size=\"34682880\", alpha=\"0.15\", expect_size=\"13873152\"] \n  27 [size=\"64660480\", alpha=\"0.19\", expect_size=\"25864192\"] \n  27 -> 35 [size =\"25864192\"]\n  28 [size=\"66004480\", alpha=\"0.10\", expect_size=\"26401792\"] \n  29 [size=\"93429760\", alpha=\"0.09\", expect_size=\"37371904\"] \n  30 [size=\"19788800\", alpha=\"0.16\", expect_size=\"7915520\"] \n  31 [size=\"13217280\", alpha=\"0.02\", expect_size=\"5286912\"] \n  32 [size=\"35834880\", alpha=\"0.14\", expect_size=\"14333952\"] \n  33 [size=\"37230080\", alpha=\"0.09\", expect_size=\"14892032\"] \n  34 [size=\"94305280\", alpha=\"0.09\", expect_size=\"37722112\"] \n  34 -> 35 [size =\"37722112\"]\n  35 [size=\"70978560\", alpha=\"0.11\", expect_size=\"28391424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97018880\", alpha=\"0.07\", expect_size=\"38807552\"] \n  1 -> 2 [size =\"38807552\"]\n  1 -> 3 [size =\"38807552\"]\n  2 [size=\"56401920\", alpha=\"0.14\", expect_size=\"22560768\"] \n  3 [size=\"74158080\", alpha=\"0.17\", expect_size=\"29663232\"] \n  3 -> 4 [size =\"29663232\"]\n  4 [size=\"113006080\", alpha=\"0.02\", expect_size=\"45202432\"] \n  4 -> 5 [size =\"45202432\"]\n  5 [size=\"90237440\", alpha=\"0.03\", expect_size=\"36094976\"] \n  5 -> 6 [size =\"36094976\"]\n  5 -> 7 [size =\"36094976\"]\n  6 [size=\"70886400\", alpha=\"0.01\", expect_size=\"28354560\"] \n  6 -> 8 [size =\"28354560\"]\n  7 [size=\"31554560\", alpha=\"0.19\", expect_size=\"12621824\"] \n  8 [size=\"47104000\", alpha=\"0.07\", expect_size=\"18841600\"] \n  8 -> 9 [size =\"18841600\"]\n  8 -> 10 [size =\"18841600\"]\n  9 [size=\"89244160\", alpha=\"0.18\", expect_size=\"35697664\"] \n  9 -> 11 [size =\"35697664\"]\n  9 -> 12 [size =\"35697664\"]\n  10 [size=\"13949440\", alpha=\"0.19\", expect_size=\"5579776\"] \n  10 -> 11 [size =\"5579776\"]\n  10 -> 12 [size =\"5579776\"]\n  11 [size=\"54579200\", alpha=\"0.17\", expect_size=\"21831680\"] \n  11 -> 13 [size =\"21831680\"]\n  12 [size=\"96524800\", alpha=\"0.01\", expect_size=\"38609920\"] \n  13 [size=\"59276800\", alpha=\"0.01\", expect_size=\"23710720\"] \n  13 -> 14 [size =\"23710720\"]\n  13 -> 15 [size =\"23710720\"]\n  14 [size=\"41254400\", alpha=\"0.01\", expect_size=\"16501760\"] \n  15 [size=\"53877760\", alpha=\"0.17\", expect_size=\"21551104\"] \n  15 -> 16 [size =\"21551104\"]\n  16 [size=\"71884800\", alpha=\"0.15\", expect_size=\"28753920\"] \n  16 -> 17 [size =\"28753920\"]\n  16 -> 18 [size =\"28753920\"]\n  17 [size=\"76157440\", alpha=\"0.18\", expect_size=\"30462976\"] \n  17 -> 19 [size =\"30462976\"]\n  17 -> 20 [size =\"30462976\"]\n  18 [size=\"68733440\", alpha=\"0.10\", expect_size=\"27493376\"] \n  18 -> 20 [size =\"27493376\"]\n  19 [size=\"108057600\", alpha=\"0.12\", expect_size=\"43223040\"] \n  19 -> 21 [size =\"43223040\"]\n  20 [size=\"93980160\", alpha=\"0.08\", expect_size=\"37592064\"] \n  20 -> 21 [size =\"37592064\"]\n  21 [size=\"90257920\", alpha=\"0.18\", expect_size=\"36103168\"] \n  21 -> 22 [size =\"36103168\"]\n  21 -> 23 [size =\"36103168\"]\n  22 [size=\"73423360\", alpha=\"0.15\", expect_size=\"29369344\"] \n  22 -> 24 [size =\"29369344\"]\n  23 [size=\"76897280\", alpha=\"0.02\", expect_size=\"30758912\"] \n  24 [size=\"82606080\", alpha=\"0.07\", expect_size=\"33042432\"] \n  24 -> 25 [size =\"33042432\"]\n  25 [size=\"87326720\", alpha=\"0.05\", expect_size=\"34930688\"] \n  25 -> 26 [size =\"34930688\"]\n  26 [size=\"70855680\", alpha=\"0.12\", expect_size=\"28342272\"] \n  26 -> 27 [size =\"28342272\"]\n  27 [size=\"39616000\", alpha=\"0.02\", expect_size=\"15846400\"] \n  27 -> 28 [size =\"15846400\"]\n  28 [size=\"27893760\", alpha=\"0.19\", expect_size=\"11157504\"] \n  28 -> 29 [size =\"11157504\"]\n  28 -> 30 [size =\"11157504\"]\n  29 [size=\"87797760\", alpha=\"0.08\", expect_size=\"35119104\"] \n  29 -> 31 [size =\"35119104\"]\n  30 [size=\"40911360\", alpha=\"0.17\", expect_size=\"16364544\"] \n  30 -> 31 [size =\"16364544\"]\n  31 [size=\"86443520\", alpha=\"0.14\", expect_size=\"34577408\"] \n  31 -> 32 [size =\"34577408\"]\n  31 -> 33 [size =\"34577408\"]\n  32 [size=\"72376320\", alpha=\"0.04\", expect_size=\"28950528\"] \n  33 [size=\"42004480\", alpha=\"0.03\", expect_size=\"16801792\"] \n  33 -> 34 [size =\"16801792\"]\n  34 [size=\"56381440\", alpha=\"0.06\", expect_size=\"22552576\"] \n  34 -> 35 [size =\"22552576\"]\n  35 [size=\"97441280\", alpha=\"0.16\", expect_size=\"38976512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136820053\", alpha=\"0.07\", expect_size=\"41046016\"] \n  1 -> 25 [size =\"41046016\"]\n  1 -> 28 [size =\"41046016\"]\n  1 -> 31 [size =\"41046016\"]\n  2 [size=\"126040747\", alpha=\"0.18\", expect_size=\"37812224\"] \n  2 -> 29 [size =\"37812224\"]\n  3 [size=\"118674773\", alpha=\"0.11\", expect_size=\"35602432\"] \n  3 -> 22 [size =\"35602432\"]\n  3 -> 24 [size =\"35602432\"]\n  4 [size=\"47636480\", alpha=\"0.08\", expect_size=\"14290944\"] \n  4 -> 28 [size =\"14290944\"]\n  5 [size=\"74984107\", alpha=\"0.06\", expect_size=\"22495232\"] \n  5 -> 25 [size =\"22495232\"]\n  5 -> 27 [size =\"22495232\"]\n  5 -> 30 [size =\"22495232\"]\n  5 -> 31 [size =\"22495232\"]\n  6 [size=\"80875520\", alpha=\"0.16\", expect_size=\"24262656\"] \n  6 -> 26 [size =\"24262656\"]\n  6 -> 27 [size =\"24262656\"]\n  6 -> 32 [size =\"24262656\"]\n  6 -> 34 [size =\"24262656\"]\n  7 [size=\"122279253\", alpha=\"0.01\", expect_size=\"36683776\"] \n  7 -> 21 [size =\"36683776\"]\n  7 -> 26 [size =\"36683776\"]\n  7 -> 33 [size =\"36683776\"]\n  8 [size=\"64590507\", alpha=\"0.03\", expect_size=\"19377152\"] \n  8 -> 23 [size =\"19377152\"]\n  8 -> 26 [size =\"19377152\"]\n  8 -> 30 [size =\"19377152\"]\n  8 -> 35 [size =\"19377152\"]\n  9 [size=\"60306773\", alpha=\"0.10\", expect_size=\"18092032\"] \n  9 -> 22 [size =\"18092032\"]\n  9 -> 25 [size =\"18092032\"]\n  9 -> 26 [size =\"18092032\"]\n  9 -> 27 [size =\"18092032\"]\n  9 -> 30 [size =\"18092032\"]\n  9 -> 34 [size =\"18092032\"]\n  9 -> 35 [size =\"18092032\"]\n  10 [size=\"136540160\", alpha=\"0.17\", expect_size=\"40962048\"] \n  10 -> 23 [size =\"40962048\"]\n  10 -> 27 [size =\"40962048\"]\n  10 -> 35 [size =\"40962048\"]\n  11 [size=\"162471253\", alpha=\"0.17\", expect_size=\"48741376\"] \n  11 -> 32 [size =\"48741376\"]\n  11 -> 35 [size =\"48741376\"]\n  11 -> 35 [size =\"48741376\"]\n  12 [size=\"57258667\", alpha=\"0.07\", expect_size=\"17177600\"] \n  12 -> 28 [size =\"17177600\"]\n  12 -> 30 [size =\"17177600\"]\n  12 -> 32 [size =\"17177600\"]\n  13 [size=\"42659840\", alpha=\"0.07\", expect_size=\"12797952\"] \n  13 -> 22 [size =\"12797952\"]\n  13 -> 24 [size =\"12797952\"]\n  13 -> 25 [size =\"12797952\"]\n  13 -> 28 [size =\"12797952\"]\n  13 -> 31 [size =\"12797952\"]\n  14 [size=\"130655573\", alpha=\"0.06\", expect_size=\"39196672\"] \n  14 -> 22 [size =\"39196672\"]\n  14 -> 25 [size =\"39196672\"]\n  14 -> 34 [size =\"39196672\"]\n  15 [size=\"32740693\", alpha=\"0.06\", expect_size=\"9822208\"] \n  15 -> 22 [size =\"9822208\"]\n  15 -> 26 [size =\"9822208\"]\n  15 -> 33 [size =\"9822208\"]\n  15 -> 35 [size =\"9822208\"]\n  16 [size=\"77544107\", alpha=\"0.01\", expect_size=\"23263232\"] \n  16 -> 22 [size =\"23263232\"]\n  16 -> 25 [size =\"23263232\"]\n  16 -> 27 [size =\"23263232\"]\n  16 -> 33 [size =\"23263232\"]\n  16 -> 35 [size =\"23263232\"]\n  17 [size=\"44059307\", alpha=\"0.20\", expect_size=\"13217792\"] \n  17 -> 28 [size =\"13217792\"]\n  17 -> 29 [size =\"13217792\"]\n  17 -> 35 [size =\"13217792\"]\n  18 [size=\"54330027\", alpha=\"0.05\", expect_size=\"16299008\"] \n  18 -> 28 [size =\"16299008\"]\n  18 -> 35 [size =\"16299008\"]\n  19 [size=\"75567787\", alpha=\"0.09\", expect_size=\"22670336\"] \n  19 -> 26 [size =\"22670336\"]\n  19 -> 28 [size =\"22670336\"]\n  20 [size=\"155794773\", alpha=\"0.06\", expect_size=\"46738432\"] \n  20 -> 22 [size =\"46738432\"]\n  20 -> 25 [size =\"46738432\"]\n  20 -> 27 [size =\"46738432\"]\n  20 -> 34 [size =\"46738432\"]\n  21 [size=\"135147520\", alpha=\"0.19\", expect_size=\"40544256\"] \n  22 [size=\"108083200\", alpha=\"0.05\", expect_size=\"32424960\"] \n  23 [size=\"162280107\", alpha=\"0.04\", expect_size=\"48684032\"] \n  24 [size=\"57692160\", alpha=\"0.07\", expect_size=\"17307648\"] \n  25 [size=\"102751573\", alpha=\"0.18\", expect_size=\"30825472\"] \n  26 [size=\"152514560\", alpha=\"0.16\", expect_size=\"45754368\"] \n  27 [size=\"157999787\", alpha=\"0.08\", expect_size=\"47399936\"] \n  28 [size=\"154081280\", alpha=\"0.05\", expect_size=\"46224384\"] \n  29 [size=\"35034453\", alpha=\"0.08\", expect_size=\"10510336\"] \n  30 [size=\"105393493\", alpha=\"0.07\", expect_size=\"31618048\"] \n  31 [size=\"154675200\", alpha=\"0.03\", expect_size=\"46402560\"] \n  32 [size=\"144943787\", alpha=\"0.05\", expect_size=\"43483136\"] \n  33 [size=\"27473920\", alpha=\"0.10\", expect_size=\"8242176\"] \n  34 [size=\"60757333\", alpha=\"0.10\", expect_size=\"18227200\"] \n  35 [size=\"117671253\", alpha=\"0.11\", expect_size=\"35301376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90595840\", alpha=\"0.04\", expect_size=\"36238336\"] \n  1 -> 21 [size =\"36238336\"]\n  1 -> 24 [size =\"36238336\"]\n  1 -> 25 [size =\"36238336\"]\n  1 -> 27 [size =\"36238336\"]\n  1 -> 30 [size =\"36238336\"]\n  1 -> 30 [size =\"36238336\"]\n  1 -> 35 [size =\"36238336\"]\n  2 [size=\"123409920\", alpha=\"0.04\", expect_size=\"49363968\"] \n  2 -> 19 [size =\"49363968\"]\n  2 -> 21 [size =\"49363968\"]\n  2 -> 24 [size =\"49363968\"]\n  2 -> 28 [size =\"49363968\"]\n  2 -> 30 [size =\"49363968\"]\n  2 -> 31 [size =\"49363968\"]\n  2 -> 32 [size =\"49363968\"]\n  2 -> 33 [size =\"49363968\"]\n  2 -> 34 [size =\"49363968\"]\n  3 [size=\"127083520\", alpha=\"0.20\", expect_size=\"50833408\"] \n  3 -> 19 [size =\"50833408\"]\n  3 -> 21 [size =\"50833408\"]\n  3 -> 27 [size =\"50833408\"]\n  3 -> 29 [size =\"50833408\"]\n  3 -> 30 [size =\"50833408\"]\n  3 -> 31 [size =\"50833408\"]\n  3 -> 34 [size =\"50833408\"]\n  4 [size=\"89341440\", alpha=\"0.17\", expect_size=\"35736576\"] \n  4 -> 18 [size =\"35736576\"]\n  4 -> 24 [size =\"35736576\"]\n  4 -> 27 [size =\"35736576\"]\n  4 -> 29 [size =\"35736576\"]\n  4 -> 30 [size =\"35736576\"]\n  4 -> 31 [size =\"35736576\"]\n  4 -> 32 [size =\"35736576\"]\n  4 -> 35 [size =\"35736576\"]\n  5 [size=\"74040320\", alpha=\"0.16\", expect_size=\"29616128\"] \n  5 -> 21 [size =\"29616128\"]\n  5 -> 24 [size =\"29616128\"]\n  5 -> 30 [size =\"29616128\"]\n  5 -> 31 [size =\"29616128\"]\n  5 -> 32 [size =\"29616128\"]\n  5 -> 34 [size =\"29616128\"]\n  6 [size=\"102289920\", alpha=\"0.15\", expect_size=\"40915968\"] \n  6 -> 30 [size =\"40915968\"]\n  6 -> 31 [size =\"40915968\"]\n  6 -> 34 [size =\"40915968\"]\n  6 -> 35 [size =\"40915968\"]\n  7 [size=\"114951680\", alpha=\"0.11\", expect_size=\"45980672\"] \n  7 -> 19 [size =\"45980672\"]\n  7 -> 21 [size =\"45980672\"]\n  7 -> 24 [size =\"45980672\"]\n  7 -> 27 [size =\"45980672\"]\n  7 -> 28 [size =\"45980672\"]\n  7 -> 30 [size =\"45980672\"]\n  7 -> 31 [size =\"45980672\"]\n  7 -> 32 [size =\"45980672\"]\n  7 -> 34 [size =\"45980672\"]\n  7 -> 35 [size =\"45980672\"]\n  8 [size=\"55549440\", alpha=\"0.08\", expect_size=\"22219776\"] \n  8 -> 19 [size =\"22219776\"]\n  8 -> 21 [size =\"22219776\"]\n  8 -> 24 [size =\"22219776\"]\n  8 -> 27 [size =\"22219776\"]\n  8 -> 31 [size =\"22219776\"]\n  8 -> 32 [size =\"22219776\"]\n  8 -> 35 [size =\"22219776\"]\n  9 [size=\"90810880\", alpha=\"0.01\", expect_size=\"36324352\"] \n  9 -> 20 [size =\"36324352\"]\n  9 -> 21 [size =\"36324352\"]\n  9 -> 22 [size =\"36324352\"]\n  9 -> 26 [size =\"36324352\"]\n  9 -> 27 [size =\"36324352\"]\n  9 -> 29 [size =\"36324352\"]\n  9 -> 31 [size =\"36324352\"]\n  9 -> 32 [size =\"36324352\"]\n  9 -> 35 [size =\"36324352\"]\n  10 [size=\"119692800\", alpha=\"0.06\", expect_size=\"47877120\"] \n  10 -> 19 [size =\"47877120\"]\n  10 -> 20 [size =\"47877120\"]\n  10 -> 21 [size =\"47877120\"]\n  10 -> 24 [size =\"47877120\"]\n  10 -> 25 [size =\"47877120\"]\n  10 -> 27 [size =\"47877120\"]\n  10 -> 31 [size =\"47877120\"]\n  10 -> 35 [size =\"47877120\"]\n  11 [size=\"52733440\", alpha=\"0.02\", expect_size=\"21093376\"] \n  11 -> 19 [size =\"21093376\"]\n  11 -> 21 [size =\"21093376\"]\n  11 -> 24 [size =\"21093376\"]\n  11 -> 27 [size =\"21093376\"]\n  11 -> 28 [size =\"21093376\"]\n  11 -> 30 [size =\"21093376\"]\n  11 -> 31 [size =\"21093376\"]\n  11 -> 32 [size =\"21093376\"]\n  12 [size=\"76172800\", alpha=\"0.20\", expect_size=\"30469120\"] \n  12 -> 24 [size =\"30469120\"]\n  12 -> 25 [size =\"30469120\"]\n  12 -> 28 [size =\"30469120\"]\n  12 -> 30 [size =\"30469120\"]\n  12 -> 31 [size =\"30469120\"]\n  12 -> 32 [size =\"30469120\"]\n  12 -> 34 [size =\"30469120\"]\n  13 [size=\"97269760\", alpha=\"0.11\", expect_size=\"38907904\"] \n  13 -> 19 [size =\"38907904\"]\n  13 -> 21 [size =\"38907904\"]\n  13 -> 23 [size =\"38907904\"]\n  13 -> 24 [size =\"38907904\"]\n  13 -> 30 [size =\"38907904\"]\n  13 -> 32 [size =\"38907904\"]\n  14 [size=\"95444480\", alpha=\"0.14\", expect_size=\"38177792\"] \n  14 -> 19 [size =\"38177792\"]\n  14 -> 21 [size =\"38177792\"]\n  14 -> 23 [size =\"38177792\"]\n  14 -> 24 [size =\"38177792\"]\n  14 -> 28 [size =\"38177792\"]\n  14 -> 29 [size =\"38177792\"]\n  14 -> 30 [size =\"38177792\"]\n  14 -> 31 [size =\"38177792\"]\n  14 -> 35 [size =\"38177792\"]\n  15 [size=\"77757440\", alpha=\"0.19\", expect_size=\"31102976\"] \n  15 -> 21 [size =\"31102976\"]\n  15 -> 29 [size =\"31102976\"]\n  15 -> 30 [size =\"31102976\"]\n  15 -> 31 [size =\"31102976\"]\n  15 -> 35 [size =\"31102976\"]\n  16 [size=\"54663680\", alpha=\"0.06\", expect_size=\"21865472\"] \n  16 -> 24 [size =\"21865472\"]\n  16 -> 28 [size =\"21865472\"]\n  16 -> 29 [size =\"21865472\"]\n  16 -> 30 [size =\"21865472\"]\n  16 -> 31 [size =\"21865472\"]\n  17 [size=\"25088000\", alpha=\"0.20\", expect_size=\"10035200\"] \n  17 -> 19 [size =\"10035200\"]\n  17 -> 21 [size =\"10035200\"]\n  17 -> 23 [size =\"10035200\"]\n  17 -> 24 [size =\"10035200\"]\n  17 -> 26 [size =\"10035200\"]\n  17 -> 30 [size =\"10035200\"]\n  17 -> 31 [size =\"10035200\"]\n  18 [size=\"92218880\", alpha=\"0.12\", expect_size=\"36887552\"] \n  19 [size=\"20172800\", alpha=\"0.01\", expect_size=\"8069120\"] \n  20 [size=\"28177920\", alpha=\"0.11\", expect_size=\"11271168\"] \n  21 [size=\"65287680\", alpha=\"0.15\", expect_size=\"26115072\"] \n  22 [size=\"75860480\", alpha=\"0.17\", expect_size=\"30344192\"] \n  23 [size=\"75543040\", alpha=\"0.19\", expect_size=\"30217216\"] \n  24 [size=\"23708160\", alpha=\"0.13\", expect_size=\"9483264\"] \n  25 [size=\"107409920\", alpha=\"0.18\", expect_size=\"42963968\"] \n  26 [size=\"100784640\", alpha=\"0.18\", expect_size=\"40313856\"] \n  27 [size=\"16524800\", alpha=\"0.15\", expect_size=\"6609920\"] \n  28 [size=\"14021120\", alpha=\"0.20\", expect_size=\"5608448\"] \n  29 [size=\"86958080\", alpha=\"0.18\", expect_size=\"34783232\"] \n  30 [size=\"90680320\", alpha=\"0.13\", expect_size=\"36272128\"] \n  31 [size=\"38251520\", alpha=\"0.16\", expect_size=\"15300608\"] \n  32 [size=\"125132800\", alpha=\"0.09\", expect_size=\"50053120\"] \n  33 [size=\"107729920\", alpha=\"0.16\", expect_size=\"43091968\"] \n  34 [size=\"100021760\", alpha=\"0.18\", expect_size=\"40008704\"] \n  35 [size=\"60280320\", alpha=\"0.10\", expect_size=\"24112128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43008000\", alpha=\"0.12\", expect_size=\"17203200\"] \n  1 -> 7 [size =\"17203200\"]\n  1 -> 8 [size =\"17203200\"]\n  1 -> 9 [size =\"17203200\"]\n  2 [size=\"14809600\", alpha=\"0.20\", expect_size=\"5923840\"] \n  3 [size=\"54097920\", alpha=\"0.13\", expect_size=\"21639168\"] \n  3 -> 6 [size =\"21639168\"]\n  3 -> 8 [size =\"21639168\"]\n  4 [size=\"122813440\", alpha=\"0.02\", expect_size=\"49125376\"] \n  4 -> 9 [size =\"49125376\"]\n  5 [size=\"49569280\", alpha=\"0.19\", expect_size=\"19827712\"] \n  6 [size=\"17763840\", alpha=\"0.12\", expect_size=\"7105536\"] \n  6 -> 10 [size =\"7105536\"]\n  6 -> 11 [size =\"7105536\"]\n  6 -> 12 [size =\"7105536\"]\n  6 -> 13 [size =\"7105536\"]\n  7 [size=\"94402560\", alpha=\"0.14\", expect_size=\"37761024\"] \n  7 -> 11 [size =\"37761024\"]\n  7 -> 14 [size =\"37761024\"]\n  8 [size=\"117099520\", alpha=\"0.05\", expect_size=\"46839808\"] \n  8 -> 12 [size =\"46839808\"]\n  8 -> 13 [size =\"46839808\"]\n  8 -> 15 [size =\"46839808\"]\n  9 [size=\"57003520\", alpha=\"0.07\", expect_size=\"22801408\"] \n  9 -> 12 [size =\"22801408\"]\n  10 [size=\"80437760\", alpha=\"0.12\", expect_size=\"32175104\"] \n  11 [size=\"80056320\", alpha=\"0.15\", expect_size=\"32022528\"] \n  12 [size=\"30266880\", alpha=\"0.10\", expect_size=\"12106752\"] \n  12 -> 18 [size =\"12106752\"]\n  13 [size=\"27980800\", alpha=\"0.19\", expect_size=\"11192320\"] \n  13 -> 16 [size =\"11192320\"]\n  14 [size=\"104391680\", alpha=\"0.02\", expect_size=\"41756672\"] \n  14 -> 16 [size =\"41756672\"]\n  14 -> 17 [size =\"41756672\"]\n  15 [size=\"117440000\", alpha=\"0.03\", expect_size=\"46976000\"] \n  16 [size=\"114007040\", alpha=\"0.07\", expect_size=\"45602816\"] \n  16 -> 21 [size =\"45602816\"]\n  17 [size=\"66094080\", alpha=\"0.09\", expect_size=\"26437632\"] \n  17 -> 19 [size =\"26437632\"]\n  17 -> 21 [size =\"26437632\"]\n  17 -> 22 [size =\"26437632\"]\n  18 [size=\"30179840\", alpha=\"0.11\", expect_size=\"12071936\"] \n  18 -> 19 [size =\"12071936\"]\n  18 -> 20 [size =\"12071936\"]\n  19 [size=\"62174720\", alpha=\"0.10\", expect_size=\"24869888\"] \n  19 -> 23 [size =\"24869888\"]\n  19 -> 24 [size =\"24869888\"]\n  20 [size=\"105922560\", alpha=\"0.12\", expect_size=\"42369024\"] \n  20 -> 23 [size =\"42369024\"]\n  20 -> 25 [size =\"42369024\"]\n  21 [size=\"59893760\", alpha=\"0.19\", expect_size=\"23957504\"] \n  21 -> 23 [size =\"23957504\"]\n  22 [size=\"32747520\", alpha=\"0.06\", expect_size=\"13099008\"] \n  22 -> 24 [size =\"13099008\"]\n  23 [size=\"94581760\", alpha=\"0.00\", expect_size=\"37832704\"] \n  23 -> 26 [size =\"37832704\"]\n  24 [size=\"91463680\", alpha=\"0.13\", expect_size=\"36585472\"] \n  24 -> 28 [size =\"36585472\"]\n  24 -> 29 [size =\"36585472\"]\n  25 [size=\"100741120\", alpha=\"0.12\", expect_size=\"40296448\"] \n  25 -> 27 [size =\"40296448\"]\n  25 -> 28 [size =\"40296448\"]\n  25 -> 29 [size =\"40296448\"]\n  26 [size=\"115773440\", alpha=\"0.12\", expect_size=\"46309376\"] \n  26 -> 30 [size =\"46309376\"]\n  26 -> 31 [size =\"46309376\"]\n  26 -> 33 [size =\"46309376\"]\n  27 [size=\"39641600\", alpha=\"0.05\", expect_size=\"15856640\"] \n  27 -> 30 [size =\"15856640\"]\n  27 -> 31 [size =\"15856640\"]\n  28 [size=\"92669440\", alpha=\"0.16\", expect_size=\"37067776\"] \n  28 -> 30 [size =\"37067776\"]\n  28 -> 32 [size =\"37067776\"]\n  28 -> 34 [size =\"37067776\"]\n  28 -> 35 [size =\"37067776\"]\n  29 [size=\"39221760\", alpha=\"0.15\", expect_size=\"15688704\"] \n  29 -> 35 [size =\"15688704\"]\n  30 [size=\"99123200\", alpha=\"0.05\", expect_size=\"39649280\"] \n  31 [size=\"51916800\", alpha=\"0.06\", expect_size=\"20766720\"] \n  32 [size=\"45470720\", alpha=\"0.10\", expect_size=\"18188288\"] \n  33 [size=\"81489920\", alpha=\"0.17\", expect_size=\"32595968\"] \n  34 [size=\"83002880\", alpha=\"0.19\", expect_size=\"33201152\"] \n  35 [size=\"41748480\", alpha=\"0.19\", expect_size=\"16699392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55330816\", alpha=\"0.01\", expect_size=\"27665408\"] \n  1 -> 30 [size =\"27665408\"]\n  1 -> 32 [size =\"27665408\"]\n  1 -> 33 [size =\"27665408\"]\n  2 [size=\"65263616\", alpha=\"0.02\", expect_size=\"32631808\"] \n  2 -> 29 [size =\"32631808\"]\n  2 -> 30 [size =\"32631808\"]\n  2 -> 31 [size =\"32631808\"]\n  2 -> 32 [size =\"32631808\"]\n  3 [size=\"45740032\", alpha=\"0.12\", expect_size=\"22870016\"] \n  3 -> 30 [size =\"22870016\"]\n  3 -> 32 [size =\"22870016\"]\n  3 -> 35 [size =\"22870016\"]\n  4 [size=\"90613760\", alpha=\"0.12\", expect_size=\"45306880\"] \n  4 -> 31 [size =\"45306880\"]\n  4 -> 32 [size =\"45306880\"]\n  5 [size=\"42909696\", alpha=\"0.10\", expect_size=\"21454848\"] \n  5 -> 30 [size =\"21454848\"]\n  5 -> 31 [size =\"21454848\"]\n  5 -> 32 [size =\"21454848\"]\n  6 [size=\"102389760\", alpha=\"0.19\", expect_size=\"51194880\"] \n  6 -> 29 [size =\"51194880\"]\n  6 -> 30 [size =\"51194880\"]\n  6 -> 31 [size =\"51194880\"]\n  6 -> 32 [size =\"51194880\"]\n  7 [size=\"55029760\", alpha=\"0.08\", expect_size=\"27514880\"] \n  7 -> 29 [size =\"27514880\"]\n  7 -> 31 [size =\"27514880\"]\n  7 -> 32 [size =\"27514880\"]\n  7 -> 34 [size =\"27514880\"]\n  8 [size=\"39112704\", alpha=\"0.12\", expect_size=\"19556352\"] \n  8 -> 33 [size =\"19556352\"]\n  9 [size=\"70352896\", alpha=\"0.18\", expect_size=\"35176448\"] \n  9 -> 33 [size =\"35176448\"]\n  9 -> 35 [size =\"35176448\"]\n  10 [size=\"61421568\", alpha=\"0.14\", expect_size=\"30710784\"] \n  11 [size=\"91848704\", alpha=\"0.19\", expect_size=\"45924352\"] \n  11 -> 30 [size =\"45924352\"]\n  11 -> 33 [size =\"45924352\"]\n  12 [size=\"98785280\", alpha=\"0.08\", expect_size=\"49392640\"] \n  12 -> 30 [size =\"49392640\"]\n  12 -> 33 [size =\"49392640\"]\n  13 [size=\"13367296\", alpha=\"0.05\", expect_size=\"6683648\"] \n  13 -> 30 [size =\"6683648\"]\n  13 -> 31 [size =\"6683648\"]\n  13 -> 35 [size =\"6683648\"]\n  14 [size=\"70602752\", alpha=\"0.07\", expect_size=\"35301376\"] \n  14 -> 30 [size =\"35301376\"]\n  15 [size=\"32440320\", alpha=\"0.04\", expect_size=\"16220160\"] \n  15 -> 30 [size =\"16220160\"]\n  16 [size=\"81948672\", alpha=\"0.04\", expect_size=\"40974336\"] \n  16 -> 29 [size =\"40974336\"]\n  16 -> 30 [size =\"40974336\"]\n  16 -> 31 [size =\"40974336\"]\n  16 -> 35 [size =\"40974336\"]\n  17 [size=\"77289472\", alpha=\"0.18\", expect_size=\"38644736\"] \n  17 -> 30 [size =\"38644736\"]\n  17 -> 31 [size =\"38644736\"]\n  17 -> 31 [size =\"38644736\"]\n  18 [size=\"20291584\", alpha=\"0.12\", expect_size=\"10145792\"] \n  18 -> 29 [size =\"10145792\"]\n  18 -> 31 [size =\"10145792\"]\n  18 -> 33 [size =\"10145792\"]\n  19 [size=\"74629120\", alpha=\"0.02\", expect_size=\"37314560\"] \n  19 -> 31 [size =\"37314560\"]\n  19 -> 32 [size =\"37314560\"]\n  19 -> 35 [size =\"37314560\"]\n  20 [size=\"65992704\", alpha=\"0.10\", expect_size=\"32996352\"] \n  20 -> 31 [size =\"32996352\"]\n  21 [size=\"38273024\", alpha=\"0.06\", expect_size=\"19136512\"] \n  21 -> 30 [size =\"19136512\"]\n  22 [size=\"33804288\", alpha=\"0.15\", expect_size=\"16902144\"] \n  22 -> 31 [size =\"16902144\"]\n  22 -> 33 [size =\"16902144\"]\n  23 [size=\"73570304\", alpha=\"0.11\", expect_size=\"36785152\"] \n  23 -> 29 [size =\"36785152\"]\n  23 -> 32 [size =\"36785152\"]\n  23 -> 33 [size =\"36785152\"]\n  24 [size=\"98117632\", alpha=\"0.03\", expect_size=\"49058816\"] \n  24 -> 31 [size =\"49058816\"]\n  24 -> 32 [size =\"49058816\"]\n  24 -> 33 [size =\"49058816\"]\n  25 [size=\"34719744\", alpha=\"0.03\", expect_size=\"17359872\"] \n  25 -> 31 [size =\"17359872\"]\n  26 [size=\"54562816\", alpha=\"0.02\", expect_size=\"27281408\"] \n  26 -> 32 [size =\"27281408\"]\n  27 [size=\"75134976\", alpha=\"0.11\", expect_size=\"37567488\"] \n  27 -> 30 [size =\"37567488\"]\n  27 -> 31 [size =\"37567488\"]\n  27 -> 32 [size =\"37567488\"]\n  28 [size=\"65198080\", alpha=\"0.06\", expect_size=\"32599040\"] \n  28 -> 30 [size =\"32599040\"]\n  28 -> 31 [size =\"32599040\"]\n  28 -> 35 [size =\"32599040\"]\n  29 [size=\"27860992\", alpha=\"0.13\", expect_size=\"13930496\"] \n  30 [size=\"39018496\", alpha=\"0.11\", expect_size=\"19509248\"] \n  31 [size=\"84414464\", alpha=\"0.06\", expect_size=\"42207232\"] \n  32 [size=\"20148224\", alpha=\"0.01\", expect_size=\"10074112\"] \n  33 [size=\"89747456\", alpha=\"0.15\", expect_size=\"44873728\"] \n  34 [size=\"45348864\", alpha=\"0.03\", expect_size=\"22674432\"] \n  35 [size=\"61452288\", alpha=\"0.15\", expect_size=\"30726144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72289280\", alpha=\"0.03\", expect_size=\"28915712\"] \n  1 -> 8 [size =\"28915712\"]\n  2 [size=\"55959040\", alpha=\"0.16\", expect_size=\"22383616\"] \n  2 -> 6 [size =\"22383616\"]\n  2 -> 7 [size =\"22383616\"]\n  3 [size=\"47613440\", alpha=\"0.10\", expect_size=\"19045376\"] \n  3 -> 6 [size =\"19045376\"]\n  3 -> 7 [size =\"19045376\"]\n  4 [size=\"117373440\", alpha=\"0.12\", expect_size=\"46949376\"] \n  4 -> 8 [size =\"46949376\"]\n  5 [size=\"45322240\", alpha=\"0.11\", expect_size=\"18128896\"] \n  5 -> 6 [size =\"18128896\"]\n  5 -> 8 [size =\"18128896\"]\n  6 [size=\"31349760\", alpha=\"0.11\", expect_size=\"12539904\"] \n  6 -> 10 [size =\"12539904\"]\n  7 [size=\"58882560\", alpha=\"0.03\", expect_size=\"23553024\"] \n  7 -> 9 [size =\"23553024\"]\n  8 [size=\"21944320\", alpha=\"0.06\", expect_size=\"8777728\"] \n  8 -> 10 [size =\"8777728\"]\n  9 [size=\"30991360\", alpha=\"0.15\", expect_size=\"12396544\"] \n  9 -> 11 [size =\"12396544\"]\n  9 -> 12 [size =\"12396544\"]\n  9 -> 13 [size =\"12396544\"]\n  9 -> 14 [size =\"12396544\"]\n  10 [size=\"92039680\", alpha=\"0.08\", expect_size=\"36815872\"] \n  10 -> 12 [size =\"36815872\"]\n  11 [size=\"89566720\", alpha=\"0.10\", expect_size=\"35826688\"] \n  11 -> 15 [size =\"35826688\"]\n  11 -> 16 [size =\"35826688\"]\n  11 -> 17 [size =\"35826688\"]\n  12 [size=\"109176320\", alpha=\"0.14\", expect_size=\"43670528\"] \n  13 [size=\"87800320\", alpha=\"0.12\", expect_size=\"35120128\"] \n  13 -> 15 [size =\"35120128\"]\n  13 -> 18 [size =\"35120128\"]\n  14 [size=\"27960320\", alpha=\"0.07\", expect_size=\"11184128\"] \n  14 -> 15 [size =\"11184128\"]\n  14 -> 17 [size =\"11184128\"]\n  15 [size=\"99338240\", alpha=\"0.03\", expect_size=\"39735296\"] \n  15 -> 19 [size =\"39735296\"]\n  15 -> 20 [size =\"39735296\"]\n  15 -> 21 [size =\"39735296\"]\n  15 -> 22 [size =\"39735296\"]\n  15 -> 23 [size =\"39735296\"]\n  16 [size=\"44072960\", alpha=\"0.13\", expect_size=\"17629184\"] \n  16 -> 19 [size =\"17629184\"]\n  16 -> 23 [size =\"17629184\"]\n  17 [size=\"107402240\", alpha=\"0.05\", expect_size=\"42960896\"] \n  17 -> 20 [size =\"42960896\"]\n  17 -> 22 [size =\"42960896\"]\n  17 -> 23 [size =\"42960896\"]\n  18 [size=\"124718080\", alpha=\"0.06\", expect_size=\"49887232\"] \n  19 [size=\"41088000\", alpha=\"0.16\", expect_size=\"16435200\"] \n  20 [size=\"126901760\", alpha=\"0.09\", expect_size=\"50760704\"] \n  20 -> 24 [size =\"50760704\"]\n  21 [size=\"56849920\", alpha=\"0.12\", expect_size=\"22739968\"] \n  21 -> 25 [size =\"22739968\"]\n  21 -> 26 [size =\"22739968\"]\n  22 [size=\"118681600\", alpha=\"0.02\", expect_size=\"47472640\"] \n  22 -> 26 [size =\"47472640\"]\n  23 [size=\"84994560\", alpha=\"0.18\", expect_size=\"33997824\"] \n  24 [size=\"36830720\", alpha=\"0.12\", expect_size=\"14732288\"] \n  24 -> 27 [size =\"14732288\"]\n  24 -> 28 [size =\"14732288\"]\n  25 [size=\"78522880\", alpha=\"0.11\", expect_size=\"31409152\"] \n  25 -> 27 [size =\"31409152\"]\n  25 -> 30 [size =\"31409152\"]\n  25 -> 31 [size =\"31409152\"]\n  26 [size=\"95063040\", alpha=\"0.14\", expect_size=\"38025216\"] \n  26 -> 28 [size =\"38025216\"]\n  26 -> 29 [size =\"38025216\"]\n  26 -> 31 [size =\"38025216\"]\n  27 [size=\"54594560\", alpha=\"0.04\", expect_size=\"21837824\"] \n  28 [size=\"81671680\", alpha=\"0.15\", expect_size=\"32668672\"] \n  28 -> 33 [size =\"32668672\"]\n  29 [size=\"118571520\", alpha=\"0.10\", expect_size=\"47428608\"] \n  29 -> 34 [size =\"47428608\"]\n  30 [size=\"92387840\", alpha=\"0.18\", expect_size=\"36955136\"] \n  30 -> 33 [size =\"36955136\"]\n  30 -> 35 [size =\"36955136\"]\n  31 [size=\"24988160\", alpha=\"0.19\", expect_size=\"9995264\"] \n  31 -> 32 [size =\"9995264\"]\n  31 -> 33 [size =\"9995264\"]\n  31 -> 35 [size =\"9995264\"]\n  32 [size=\"93519360\", alpha=\"0.17\", expect_size=\"37407744\"] \n  33 [size=\"104906240\", alpha=\"0.07\", expect_size=\"41962496\"] \n  34 [size=\"93655040\", alpha=\"0.19\", expect_size=\"37462016\"] \n  35 [size=\"46072320\", alpha=\"0.06\", expect_size=\"18428928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124129280\", alpha=\"0.16\", expect_size=\"37238784\"] \n  1 -> 27 [size =\"37238784\"]\n  1 -> 29 [size =\"37238784\"]\n  1 -> 30 [size =\"37238784\"]\n  1 -> 31 [size =\"37238784\"]\n  2 [size=\"167621973\", alpha=\"0.05\", expect_size=\"50286592\"] \n  2 -> 27 [size =\"50286592\"]\n  2 -> 29 [size =\"50286592\"]\n  2 -> 31 [size =\"50286592\"]\n  2 -> 31 [size =\"50286592\"]\n  3 [size=\"30795093\", alpha=\"0.13\", expect_size=\"9238528\"] \n  3 -> 27 [size =\"9238528\"]\n  3 -> 28 [size =\"9238528\"]\n  3 -> 31 [size =\"9238528\"]\n  3 -> 32 [size =\"9238528\"]\n  4 [size=\"93559467\", alpha=\"0.16\", expect_size=\"28067840\"] \n  4 -> 27 [size =\"28067840\"]\n  4 -> 28 [size =\"28067840\"]\n  4 -> 31 [size =\"28067840\"]\n  5 [size=\"63808853\", alpha=\"0.05\", expect_size=\"19142656\"] \n  5 -> 27 [size =\"19142656\"]\n  5 -> 31 [size =\"19142656\"]\n  6 [size=\"19435520\", alpha=\"0.01\", expect_size=\"5830656\"] \n  6 -> 27 [size =\"5830656\"]\n  6 -> 29 [size =\"5830656\"]\n  7 [size=\"55118507\", alpha=\"0.14\", expect_size=\"16535552\"] \n  7 -> 27 [size =\"16535552\"]\n  7 -> 31 [size =\"16535552\"]\n  8 [size=\"58562560\", alpha=\"0.09\", expect_size=\"17568768\"] \n  8 -> 27 [size =\"17568768\"]\n  9 [size=\"86896640\", alpha=\"0.05\", expect_size=\"26068992\"] \n  9 -> 27 [size =\"26068992\"]\n  9 -> 31 [size =\"26068992\"]\n  10 [size=\"57804800\", alpha=\"0.19\", expect_size=\"17341440\"] \n  10 -> 26 [size =\"17341440\"]\n  10 -> 27 [size =\"17341440\"]\n  10 -> 28 [size =\"17341440\"]\n  10 -> 31 [size =\"17341440\"]\n  10 -> 34 [size =\"17341440\"]\n  10 -> 35 [size =\"17341440\"]\n  11 [size=\"52568747\", alpha=\"0.10\", expect_size=\"15770624\"] \n  11 -> 26 [size =\"15770624\"]\n  11 -> 28 [size =\"15770624\"]\n  11 -> 31 [size =\"15770624\"]\n  11 -> 34 [size =\"15770624\"]\n  12 [size=\"21094400\", alpha=\"0.18\", expect_size=\"6328320\"] \n  12 -> 27 [size =\"6328320\"]\n  12 -> 28 [size =\"6328320\"]\n  12 -> 31 [size =\"6328320\"]\n  13 [size=\"62494720\", alpha=\"0.01\", expect_size=\"18748416\"] \n  13 -> 27 [size =\"18748416\"]\n  13 -> 28 [size =\"18748416\"]\n  13 -> 31 [size =\"18748416\"]\n  14 [size=\"161607680\", alpha=\"0.14\", expect_size=\"48482304\"] \n  14 -> 27 [size =\"48482304\"]\n  14 -> 28 [size =\"48482304\"]\n  14 -> 31 [size =\"48482304\"]\n  15 [size=\"127887360\", alpha=\"0.08\", expect_size=\"38366208\"] \n  15 -> 27 [size =\"38366208\"]\n  15 -> 28 [size =\"38366208\"]\n  15 -> 29 [size =\"38366208\"]\n  16 [size=\"164136960\", alpha=\"0.03\", expect_size=\"49241088\"] \n  16 -> 26 [size =\"49241088\"]\n  16 -> 27 [size =\"49241088\"]\n  16 -> 28 [size =\"49241088\"]\n  16 -> 33 [size =\"49241088\"]\n  17 [size=\"18380800\", alpha=\"0.11\", expect_size=\"5514240\"] \n  17 -> 27 [size =\"5514240\"]\n  17 -> 27 [size =\"5514240\"]\n  17 -> 28 [size =\"5514240\"]\n  17 -> 31 [size =\"5514240\"]\n  18 [size=\"124975787\", alpha=\"0.12\", expect_size=\"37492736\"] \n  18 -> 28 [size =\"37492736\"]\n  18 -> 29 [size =\"37492736\"]\n  18 -> 31 [size =\"37492736\"]\n  19 [size=\"39659520\", alpha=\"0.08\", expect_size=\"11897856\"] \n  19 -> 31 [size =\"11897856\"]\n  19 -> 35 [size =\"11897856\"]\n  20 [size=\"76810240\", alpha=\"0.13\", expect_size=\"23043072\"] \n  20 -> 28 [size =\"23043072\"]\n  20 -> 31 [size =\"23043072\"]\n  21 [size=\"70389760\", alpha=\"0.13\", expect_size=\"21116928\"] \n  21 -> 27 [size =\"21116928\"]\n  21 -> 31 [size =\"21116928\"]\n  22 [size=\"145261227\", alpha=\"0.11\", expect_size=\"43578368\"] \n  22 -> 27 [size =\"43578368\"]\n  22 -> 28 [size =\"43578368\"]\n  22 -> 29 [size =\"43578368\"]\n  22 -> 31 [size =\"43578368\"]\n  23 [size=\"125938347\", alpha=\"0.11\", expect_size=\"37781504\"] \n  23 -> 28 [size =\"37781504\"]\n  23 -> 29 [size =\"37781504\"]\n  23 -> 31 [size =\"37781504\"]\n  23 -> 32 [size =\"37781504\"]\n  24 [size=\"132345173\", alpha=\"0.01\", expect_size=\"39703552\"] \n  24 -> 27 [size =\"39703552\"]\n  24 -> 28 [size =\"39703552\"]\n  24 -> 30 [size =\"39703552\"]\n  24 -> 31 [size =\"39703552\"]\n  25 [size=\"84817920\", alpha=\"0.16\", expect_size=\"25445376\"] \n  25 -> 27 [size =\"25445376\"]\n  25 -> 28 [size =\"25445376\"]\n  25 -> 31 [size =\"25445376\"]\n  25 -> 33 [size =\"25445376\"]\n  26 [size=\"147619840\", alpha=\"0.12\", expect_size=\"44285952\"] \n  27 [size=\"172404053\", alpha=\"0.13\", expect_size=\"51721216\"] \n  28 [size=\"97703253\", alpha=\"0.19\", expect_size=\"29310976\"] \n  29 [size=\"38324907\", alpha=\"0.13\", expect_size=\"11497472\"] \n  30 [size=\"98457600\", alpha=\"0.13\", expect_size=\"29537280\"] \n  31 [size=\"46052693\", alpha=\"0.17\", expect_size=\"13815808\"] \n  32 [size=\"145046187\", alpha=\"0.02\", expect_size=\"43513856\"] \n  33 [size=\"73731413\", alpha=\"0.13\", expect_size=\"22119424\"] \n  34 [size=\"159996587\", alpha=\"0.01\", expect_size=\"47998976\"] \n  35 [size=\"165358933\", alpha=\"0.04\", expect_size=\"49607680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44408832\", alpha=\"0.03\", expect_size=\"22204416\"] \n  1 -> 2 [size =\"22204416\"]\n  2 [size=\"30865408\", alpha=\"0.10\", expect_size=\"15432704\"] \n  2 -> 3 [size =\"15432704\"]\n  3 [size=\"45312000\", alpha=\"0.09\", expect_size=\"22656000\"] \n  3 -> 4 [size =\"22656000\"]\n  4 [size=\"35319808\", alpha=\"0.02\", expect_size=\"17659904\"] \n  4 -> 5 [size =\"17659904\"]\n  5 [size=\"91932672\", alpha=\"0.05\", expect_size=\"45966336\"] \n  5 -> 6 [size =\"45966336\"]\n  6 [size=\"82935808\", alpha=\"0.05\", expect_size=\"41467904\"] \n  6 -> 7 [size =\"41467904\"]\n  7 [size=\"91695104\", alpha=\"0.16\", expect_size=\"45847552\"] \n  7 -> 8 [size =\"45847552\"]\n  8 [size=\"37701632\", alpha=\"0.09\", expect_size=\"18850816\"] \n  8 -> 9 [size =\"18850816\"]\n  9 [size=\"31614976\", alpha=\"0.10\", expect_size=\"15807488\"] \n  9 -> 10 [size =\"15807488\"]\n  10 [size=\"20127744\", alpha=\"0.06\", expect_size=\"10063872\"] \n  10 -> 11 [size =\"10063872\"]\n  11 [size=\"23808000\", alpha=\"0.11\", expect_size=\"11904000\"] \n  11 -> 12 [size =\"11904000\"]\n  12 [size=\"39514112\", alpha=\"0.19\", expect_size=\"19757056\"] \n  12 -> 13 [size =\"19757056\"]\n  13 [size=\"87121920\", alpha=\"0.04\", expect_size=\"43560960\"] \n  13 -> 14 [size =\"43560960\"]\n  14 [size=\"37120000\", alpha=\"0.14\", expect_size=\"18560000\"] \n  14 -> 15 [size =\"18560000\"]\n  15 [size=\"46362624\", alpha=\"0.05\", expect_size=\"23181312\"] \n  15 -> 16 [size =\"23181312\"]\n  16 [size=\"70043648\", alpha=\"0.14\", expect_size=\"35021824\"] \n  16 -> 17 [size =\"35021824\"]\n  17 [size=\"92375040\", alpha=\"0.03\", expect_size=\"46187520\"] \n  17 -> 18 [size =\"46187520\"]\n  18 [size=\"73934848\", alpha=\"0.19\", expect_size=\"36967424\"] \n  18 -> 19 [size =\"36967424\"]\n  19 [size=\"23791616\", alpha=\"0.14\", expect_size=\"11895808\"] \n  19 -> 20 [size =\"11895808\"]\n  20 [size=\"71018496\", alpha=\"0.02\", expect_size=\"35509248\"] \n  20 -> 21 [size =\"35509248\"]\n  21 [size=\"101021696\", alpha=\"0.17\", expect_size=\"50510848\"] \n  21 -> 22 [size =\"50510848\"]\n  22 [size=\"57073664\", alpha=\"0.17\", expect_size=\"28536832\"] \n  22 -> 23 [size =\"28536832\"]\n  23 [size=\"52303872\", alpha=\"0.04\", expect_size=\"26151936\"] \n  23 -> 24 [size =\"26151936\"]\n  24 [size=\"68884480\", alpha=\"0.16\", expect_size=\"34442240\"] \n  24 -> 25 [size =\"34442240\"]\n  25 [size=\"39053312\", alpha=\"0.05\", expect_size=\"19526656\"] \n  25 -> 26 [size =\"19526656\"]\n  26 [size=\"61515776\", alpha=\"0.10\", expect_size=\"30757888\"] \n  26 -> 27 [size =\"30757888\"]\n  27 [size=\"31500288\", alpha=\"0.12\", expect_size=\"15750144\"] \n  27 -> 28 [size =\"15750144\"]\n  28 [size=\"44361728\", alpha=\"0.00\", expect_size=\"22180864\"] \n  28 -> 29 [size =\"22180864\"]\n  29 [size=\"40562688\", alpha=\"0.13\", expect_size=\"20281344\"] \n  29 -> 30 [size =\"20281344\"]\n  30 [size=\"104474624\", alpha=\"0.07\", expect_size=\"52237312\"] \n  30 -> 31 [size =\"52237312\"]\n  31 [size=\"17999872\", alpha=\"0.04\", expect_size=\"8999936\"] \n  31 -> 32 [size =\"8999936\"]\n  32 [size=\"98177024\", alpha=\"0.08\", expect_size=\"49088512\"] \n  32 -> 33 [size =\"49088512\"]\n  33 [size=\"82272256\", alpha=\"0.07\", expect_size=\"41136128\"] \n  33 -> 34 [size =\"41136128\"]\n  34 [size=\"99483648\", alpha=\"0.13\", expect_size=\"49741824\"] \n  34 -> 35 [size =\"49741824\"]\n  35 [size=\"80273408\", alpha=\"0.05\", expect_size=\"40136704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78858240\", alpha=\"0.01\", expect_size=\"23657472\"] \n  1 -> 31 [size =\"23657472\"]\n  1 -> 32 [size =\"23657472\"]\n  1 -> 32 [size =\"23657472\"]\n  2 [size=\"70915413\", alpha=\"0.09\", expect_size=\"21274624\"] \n  2 -> 27 [size =\"21274624\"]\n  2 -> 29 [size =\"21274624\"]\n  2 -> 31 [size =\"21274624\"]\n  3 [size=\"144691200\", alpha=\"0.13\", expect_size=\"43407360\"] \n  3 -> 29 [size =\"43407360\"]\n  3 -> 32 [size =\"43407360\"]\n  3 -> 33 [size =\"43407360\"]\n  4 [size=\"117179733\", alpha=\"0.20\", expect_size=\"35153920\"] \n  4 -> 31 [size =\"35153920\"]\n  4 -> 33 [size =\"35153920\"]\n  5 [size=\"59006293\", alpha=\"0.09\", expect_size=\"17701888\"] \n  5 -> 25 [size =\"17701888\"]\n  5 -> 28 [size =\"17701888\"]\n  5 -> 29 [size =\"17701888\"]\n  5 -> 31 [size =\"17701888\"]\n  5 -> 34 [size =\"17701888\"]\n  5 -> 35 [size =\"17701888\"]\n  6 [size=\"28975787\", alpha=\"0.14\", expect_size=\"8692736\"] \n  6 -> 31 [size =\"8692736\"]\n  6 -> 34 [size =\"8692736\"]\n  6 -> 35 [size =\"8692736\"]\n  7 [size=\"101304320\", alpha=\"0.20\", expect_size=\"30391296\"] \n  7 -> 31 [size =\"30391296\"]\n  8 [size=\"135536640\", alpha=\"0.08\", expect_size=\"40660992\"] \n  8 -> 32 [size =\"40660992\"]\n  8 -> 33 [size =\"40660992\"]\n  8 -> 34 [size =\"40660992\"]\n  9 [size=\"141134507\", alpha=\"0.02\", expect_size=\"42340352\"] \n  9 -> 30 [size =\"42340352\"]\n  9 -> 31 [size =\"42340352\"]\n  9 -> 32 [size =\"42340352\"]\n  9 -> 33 [size =\"42340352\"]\n  9 -> 34 [size =\"42340352\"]\n  10 [size=\"99031040\", alpha=\"0.15\", expect_size=\"29709312\"] \n  10 -> 29 [size =\"29709312\"]\n  10 -> 31 [size =\"29709312\"]\n  10 -> 32 [size =\"29709312\"]\n  10 -> 33 [size =\"29709312\"]\n  10 -> 35 [size =\"29709312\"]\n  11 [size=\"117923840\", alpha=\"0.01\", expect_size=\"35377152\"] \n  11 -> 29 [size =\"35377152\"]\n  11 -> 32 [size =\"35377152\"]\n  11 -> 33 [size =\"35377152\"]\n  11 -> 33 [size =\"35377152\"]\n  11 -> 34 [size =\"35377152\"]\n  12 [size=\"123798187\", alpha=\"0.08\", expect_size=\"37139456\"] \n  12 -> 30 [size =\"37139456\"]\n  12 -> 32 [size =\"37139456\"]\n  12 -> 34 [size =\"37139456\"]\n  12 -> 35 [size =\"37139456\"]\n  13 [size=\"36488533\", alpha=\"0.08\", expect_size=\"10946560\"] \n  13 -> 29 [size =\"10946560\"]\n  13 -> 32 [size =\"10946560\"]\n  14 [size=\"141858133\", alpha=\"0.04\", expect_size=\"42557440\"] \n  14 -> 32 [size =\"42557440\"]\n  14 -> 34 [size =\"42557440\"]\n  15 [size=\"141069653\", alpha=\"0.15\", expect_size=\"42320896\"] \n  15 -> 27 [size =\"42320896\"]\n  15 -> 31 [size =\"42320896\"]\n  15 -> 32 [size =\"42320896\"]\n  15 -> 34 [size =\"42320896\"]\n  15 -> 35 [size =\"42320896\"]\n  16 [size=\"56087893\", alpha=\"0.15\", expect_size=\"16826368\"] \n  16 -> 25 [size =\"16826368\"]\n  16 -> 31 [size =\"16826368\"]\n  16 -> 32 [size =\"16826368\"]\n  16 -> 33 [size =\"16826368\"]\n  17 [size=\"169980587\", alpha=\"0.07\", expect_size=\"50994176\"] \n  17 -> 30 [size =\"50994176\"]\n  17 -> 31 [size =\"50994176\"]\n  17 -> 33 [size =\"50994176\"]\n  18 [size=\"168908800\", alpha=\"0.08\", expect_size=\"50672640\"] \n  18 -> 30 [size =\"50672640\"]\n  18 -> 31 [size =\"50672640\"]\n  18 -> 32 [size =\"50672640\"]\n  18 -> 35 [size =\"50672640\"]\n  19 [size=\"71383040\", alpha=\"0.19\", expect_size=\"21414912\"] \n  19 -> 31 [size =\"21414912\"]\n  20 [size=\"89088000\", alpha=\"0.04\", expect_size=\"26726400\"] \n  20 -> 31 [size =\"26726400\"]\n  20 -> 33 [size =\"26726400\"]\n  20 -> 34 [size =\"26726400\"]\n  21 [size=\"52954453\", alpha=\"0.17\", expect_size=\"15886336\"] \n  21 -> 26 [size =\"15886336\"]\n  21 -> 31 [size =\"15886336\"]\n  21 -> 32 [size =\"15886336\"]\n  22 [size=\"63819093\", alpha=\"0.16\", expect_size=\"19145728\"] \n  22 -> 30 [size =\"19145728\"]\n  22 -> 31 [size =\"19145728\"]\n  22 -> 32 [size =\"19145728\"]\n  22 -> 35 [size =\"19145728\"]\n  23 [size=\"129266347\", alpha=\"0.12\", expect_size=\"38779904\"] \n  23 -> 32 [size =\"38779904\"]\n  24 [size=\"38137173\", alpha=\"0.01\", expect_size=\"11441152\"] \n  24 -> 29 [size =\"11441152\"]\n  24 -> 31 [size =\"11441152\"]\n  24 -> 32 [size =\"11441152\"]\n  24 -> 35 [size =\"11441152\"]\n  25 [size=\"67338240\", alpha=\"0.15\", expect_size=\"20201472\"] \n  26 [size=\"24712533\", alpha=\"0.10\", expect_size=\"7413760\"] \n  27 [size=\"144926720\", alpha=\"0.16\", expect_size=\"43478016\"] \n  28 [size=\"43308373\", alpha=\"0.17\", expect_size=\"12992512\"] \n  29 [size=\"102451200\", alpha=\"0.14\", expect_size=\"30735360\"] \n  30 [size=\"90729813\", alpha=\"0.01\", expect_size=\"27218944\"] \n  31 [size=\"119521280\", alpha=\"0.01\", expect_size=\"35856384\"] \n  32 [size=\"92928000\", alpha=\"0.14\", expect_size=\"27878400\"] \n  33 [size=\"64389120\", alpha=\"0.10\", expect_size=\"19316736\"] \n  34 [size=\"161116160\", alpha=\"0.02\", expect_size=\"48334848\"] \n  35 [size=\"168250027\", alpha=\"0.09\", expect_size=\"50475008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172359680\", alpha=\"0.14\", expect_size=\"51707904\"] \n  1 -> 2 [size =\"51707904\"]\n  2 [size=\"87408640\", alpha=\"0.13\", expect_size=\"26222592\"] \n  2 -> 3 [size =\"26222592\"]\n  3 [size=\"95300267\", alpha=\"0.02\", expect_size=\"28590080\"] \n  3 -> 4 [size =\"28590080\"]\n  4 [size=\"173424640\", alpha=\"0.10\", expect_size=\"52027392\"] \n  4 -> 5 [size =\"52027392\"]\n  5 [size=\"139274240\", alpha=\"0.01\", expect_size=\"41782272\"] \n  5 -> 6 [size =\"41782272\"]\n  5 -> 7 [size =\"41782272\"]\n  6 [size=\"48319147\", alpha=\"0.05\", expect_size=\"14495744\"] \n  6 -> 8 [size =\"14495744\"]\n  7 [size=\"120688640\", alpha=\"0.17\", expect_size=\"36206592\"] \n  7 -> 8 [size =\"36206592\"]\n  7 -> 9 [size =\"36206592\"]\n  8 [size=\"160061440\", alpha=\"0.13\", expect_size=\"48018432\"] \n  8 -> 11 [size =\"48018432\"]\n  9 [size=\"98013867\", alpha=\"0.04\", expect_size=\"29404160\"] \n  9 -> 10 [size =\"29404160\"]\n  10 [size=\"126723413\", alpha=\"0.13\", expect_size=\"38017024\"] \n  10 -> 12 [size =\"38017024\"]\n  11 [size=\"126542507\", alpha=\"0.09\", expect_size=\"37962752\"] \n  11 -> 12 [size =\"37962752\"]\n  12 [size=\"81421653\", alpha=\"0.16\", expect_size=\"24426496\"] \n  12 -> 13 [size =\"24426496\"]\n  13 [size=\"27197440\", alpha=\"0.09\", expect_size=\"8159232\"] \n  13 -> 14 [size =\"8159232\"]\n  14 [size=\"43479040\", alpha=\"0.12\", expect_size=\"13043712\"] \n  14 -> 15 [size =\"13043712\"]\n  15 [size=\"123890347\", alpha=\"0.05\", expect_size=\"37167104\"] \n  15 -> 16 [size =\"37167104\"]\n  15 -> 17 [size =\"37167104\"]\n  16 [size=\"131587413\", alpha=\"0.03\", expect_size=\"39476224\"] \n  16 -> 19 [size =\"39476224\"]\n  17 [size=\"169492480\", alpha=\"0.11\", expect_size=\"50847744\"] \n  17 -> 18 [size =\"50847744\"]\n  17 -> 19 [size =\"50847744\"]\n  18 [size=\"144841387\", alpha=\"0.09\", expect_size=\"43452416\"] \n  18 -> 20 [size =\"43452416\"]\n  19 [size=\"93020160\", alpha=\"0.06\", expect_size=\"27906048\"] \n  19 -> 20 [size =\"27906048\"]\n  20 [size=\"128143360\", alpha=\"0.16\", expect_size=\"38443008\"] \n  20 -> 21 [size =\"38443008\"]\n  21 [size=\"69621760\", alpha=\"0.07\", expect_size=\"20886528\"] \n  21 -> 22 [size =\"20886528\"]\n  21 -> 23 [size =\"20886528\"]\n  22 [size=\"144039253\", alpha=\"0.06\", expect_size=\"43211776\"] \n  22 -> 24 [size =\"43211776\"]\n  23 [size=\"109175467\", alpha=\"0.15\", expect_size=\"32752640\"] \n  23 -> 24 [size =\"32752640\"]\n  23 -> 25 [size =\"32752640\"]\n  24 [size=\"24077653\", alpha=\"0.04\", expect_size=\"7223296\"] \n  24 -> 26 [size =\"7223296\"]\n  24 -> 27 [size =\"7223296\"]\n  25 [size=\"115261440\", alpha=\"0.08\", expect_size=\"34578432\"] \n  25 -> 26 [size =\"34578432\"]\n  26 [size=\"157849600\", alpha=\"0.16\", expect_size=\"47354880\"] \n  26 -> 28 [size =\"47354880\"]\n  27 [size=\"22121813\", alpha=\"0.17\", expect_size=\"6636544\"] \n  27 -> 28 [size =\"6636544\"]\n  27 -> 29 [size =\"6636544\"]\n  28 [size=\"112196267\", alpha=\"0.17\", expect_size=\"33658880\"] \n  28 -> 30 [size =\"33658880\"]\n  29 [size=\"29262507\", alpha=\"0.07\", expect_size=\"8778752\"] \n  29 -> 30 [size =\"8778752\"]\n  30 [size=\"75956907\", alpha=\"0.10\", expect_size=\"22787072\"] \n  30 -> 31 [size =\"22787072\"]\n  30 -> 32 [size =\"22787072\"]\n  31 [size=\"47943680\", alpha=\"0.08\", expect_size=\"14383104\"] \n  31 -> 33 [size =\"14383104\"]\n  32 [size=\"100109653\", alpha=\"0.13\", expect_size=\"30032896\"] \n  33 [size=\"145100800\", alpha=\"0.00\", expect_size=\"43530240\"] \n  33 -> 34 [size =\"43530240\"]\n  33 -> 35 [size =\"43530240\"]\n  34 [size=\"103458133\", alpha=\"0.10\", expect_size=\"31037440\"] \n  35 [size=\"131133440\", alpha=\"0.14\", expect_size=\"39340032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42270720\", alpha=\"0.19\", expect_size=\"21135360\"] \n  1 -> 2 [size =\"21135360\"]\n  2 [size=\"54497280\", alpha=\"0.16\", expect_size=\"27248640\"] \n  2 -> 3 [size =\"27248640\"]\n  3 [size=\"27447296\", alpha=\"0.04\", expect_size=\"13723648\"] \n  3 -> 4 [size =\"13723648\"]\n  4 [size=\"94334976\", alpha=\"0.01\", expect_size=\"47167488\"] \n  4 -> 5 [size =\"47167488\"]\n  5 [size=\"65470464\", alpha=\"0.18\", expect_size=\"32735232\"] \n  5 -> 6 [size =\"32735232\"]\n  6 [size=\"101423104\", alpha=\"0.04\", expect_size=\"50711552\"] \n  6 -> 7 [size =\"50711552\"]\n  7 [size=\"84025344\", alpha=\"0.03\", expect_size=\"42012672\"] \n  7 -> 8 [size =\"42012672\"]\n  8 [size=\"66119680\", alpha=\"0.09\", expect_size=\"33059840\"] \n  8 -> 9 [size =\"33059840\"]\n  9 [size=\"65914880\", alpha=\"0.04\", expect_size=\"32957440\"] \n  9 -> 10 [size =\"32957440\"]\n  10 [size=\"27332608\", alpha=\"0.11\", expect_size=\"13666304\"] \n  10 -> 11 [size =\"13666304\"]\n  11 [size=\"43628544\", alpha=\"0.02\", expect_size=\"21814272\"] \n  11 -> 12 [size =\"21814272\"]\n  12 [size=\"40443904\", alpha=\"0.03\", expect_size=\"20221952\"] \n  12 -> 13 [size =\"20221952\"]\n  13 [size=\"22708224\", alpha=\"0.01\", expect_size=\"11354112\"] \n  13 -> 14 [size =\"11354112\"]\n  14 [size=\"40177664\", alpha=\"0.13\", expect_size=\"20088832\"] \n  14 -> 15 [size =\"20088832\"]\n  15 [size=\"46776320\", alpha=\"0.17\", expect_size=\"23388160\"] \n  15 -> 16 [size =\"23388160\"]\n  16 [size=\"35581952\", alpha=\"0.18\", expect_size=\"17790976\"] \n  16 -> 17 [size =\"17790976\"]\n  17 [size=\"53651456\", alpha=\"0.04\", expect_size=\"26825728\"] \n  17 -> 18 [size =\"26825728\"]\n  18 [size=\"66469888\", alpha=\"0.03\", expect_size=\"33234944\"] \n  18 -> 19 [size =\"33234944\"]\n  19 [size=\"16594944\", alpha=\"0.17\", expect_size=\"8297472\"] \n  19 -> 20 [size =\"8297472\"]\n  20 [size=\"35264512\", alpha=\"0.13\", expect_size=\"17632256\"] \n  20 -> 21 [size =\"17632256\"]\n  21 [size=\"84852736\", alpha=\"0.15\", expect_size=\"42426368\"] \n  21 -> 22 [size =\"42426368\"]\n  22 [size=\"92102656\", alpha=\"0.07\", expect_size=\"46051328\"] \n  22 -> 23 [size =\"46051328\"]\n  23 [size=\"12828672\", alpha=\"0.02\", expect_size=\"6414336\"] \n  23 -> 24 [size =\"6414336\"]\n  24 [size=\"15298560\", alpha=\"0.15\", expect_size=\"7649280\"] \n  24 -> 25 [size =\"7649280\"]\n  25 [size=\"74287104\", alpha=\"0.19\", expect_size=\"37143552\"] \n  25 -> 26 [size =\"37143552\"]\n  26 [size=\"60813312\", alpha=\"0.03\", expect_size=\"30406656\"] \n  26 -> 27 [size =\"30406656\"]\n  27 [size=\"52899840\", alpha=\"0.03\", expect_size=\"26449920\"] \n  27 -> 28 [size =\"26449920\"]\n  28 [size=\"73283584\", alpha=\"0.14\", expect_size=\"36641792\"] \n  28 -> 29 [size =\"36641792\"]\n  29 [size=\"87339008\", alpha=\"0.17\", expect_size=\"43669504\"] \n  29 -> 30 [size =\"43669504\"]\n  30 [size=\"74690560\", alpha=\"0.04\", expect_size=\"37345280\"] \n  30 -> 31 [size =\"37345280\"]\n  31 [size=\"40964096\", alpha=\"0.17\", expect_size=\"20482048\"] \n  31 -> 32 [size =\"20482048\"]\n  32 [size=\"17942528\", alpha=\"0.17\", expect_size=\"8971264\"] \n  32 -> 33 [size =\"8971264\"]\n  33 [size=\"49641472\", alpha=\"0.20\", expect_size=\"24820736\"] \n  33 -> 34 [size =\"24820736\"]\n  34 [size=\"58648576\", alpha=\"0.09\", expect_size=\"29324288\"] \n  34 -> 35 [size =\"29324288\"]\n  35 [size=\"34443264\", alpha=\"0.05\", expect_size=\"17221632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37409280\", alpha=\"0.03\", expect_size=\"14963712\"] \n  1 -> 29 [size =\"14963712\"]\n  1 -> 30 [size =\"14963712\"]\n  1 -> 34 [size =\"14963712\"]\n  1 -> 35 [size =\"14963712\"]\n  2 [size=\"91494400\", alpha=\"0.14\", expect_size=\"36597760\"] \n  2 -> 29 [size =\"36597760\"]\n  2 -> 30 [size =\"36597760\"]\n  2 -> 33 [size =\"36597760\"]\n  3 [size=\"29803520\", alpha=\"0.05\", expect_size=\"11921408\"] \n  3 -> 29 [size =\"11921408\"]\n  3 -> 30 [size =\"11921408\"]\n  3 -> 32 [size =\"11921408\"]\n  3 -> 33 [size =\"11921408\"]\n  3 -> 34 [size =\"11921408\"]\n  4 [size=\"84480000\", alpha=\"0.16\", expect_size=\"33792000\"] \n  4 -> 30 [size =\"33792000\"]\n  4 -> 30 [size =\"33792000\"]\n  4 -> 32 [size =\"33792000\"]\n  4 -> 34 [size =\"33792000\"]\n  5 [size=\"97267200\", alpha=\"0.11\", expect_size=\"38906880\"] \n  5 -> 30 [size =\"38906880\"]\n  5 -> 32 [size =\"38906880\"]\n  6 [size=\"31813120\", alpha=\"0.04\", expect_size=\"12725248\"] \n  6 -> 34 [size =\"12725248\"]\n  6 -> 35 [size =\"12725248\"]\n  7 [size=\"127198720\", alpha=\"0.04\", expect_size=\"50879488\"] \n  7 -> 35 [size =\"50879488\"]\n  8 [size=\"69455360\", alpha=\"0.05\", expect_size=\"27782144\"] \n  8 -> 30 [size =\"27782144\"]\n  8 -> 31 [size =\"27782144\"]\n  8 -> 33 [size =\"27782144\"]\n  9 [size=\"18480640\", alpha=\"0.14\", expect_size=\"7392256\"] \n  9 -> 30 [size =\"7392256\"]\n  9 -> 32 [size =\"7392256\"]\n  9 -> 33 [size =\"7392256\"]\n  9 -> 35 [size =\"7392256\"]\n  10 [size=\"60641280\", alpha=\"0.10\", expect_size=\"24256512\"] \n  10 -> 29 [size =\"24256512\"]\n  10 -> 33 [size =\"24256512\"]\n  10 -> 33 [size =\"24256512\"]\n  10 -> 34 [size =\"24256512\"]\n  11 [size=\"72378880\", alpha=\"0.14\", expect_size=\"28951552\"] \n  11 -> 29 [size =\"28951552\"]\n  11 -> 30 [size =\"28951552\"]\n  11 -> 32 [size =\"28951552\"]\n  11 -> 33 [size =\"28951552\"]\n  12 [size=\"89223680\", alpha=\"0.04\", expect_size=\"35689472\"] \n  12 -> 29 [size =\"35689472\"]\n  12 -> 30 [size =\"35689472\"]\n  12 -> 32 [size =\"35689472\"]\n  12 -> 33 [size =\"35689472\"]\n  12 -> 34 [size =\"35689472\"]\n  12 -> 35 [size =\"35689472\"]\n  13 [size=\"55810560\", alpha=\"0.15\", expect_size=\"22324224\"] \n  13 -> 29 [size =\"22324224\"]\n  13 -> 30 [size =\"22324224\"]\n  13 -> 32 [size =\"22324224\"]\n  13 -> 33 [size =\"22324224\"]\n  13 -> 34 [size =\"22324224\"]\n  13 -> 35 [size =\"22324224\"]\n  14 [size=\"82828800\", alpha=\"0.08\", expect_size=\"33131520\"] \n  14 -> 29 [size =\"33131520\"]\n  14 -> 30 [size =\"33131520\"]\n  14 -> 32 [size =\"33131520\"]\n  14 -> 33 [size =\"33131520\"]\n  14 -> 34 [size =\"33131520\"]\n  15 [size=\"60259840\", alpha=\"0.14\", expect_size=\"24103936\"] \n  15 -> 29 [size =\"24103936\"]\n  15 -> 30 [size =\"24103936\"]\n  15 -> 34 [size =\"24103936\"]\n  16 [size=\"125532160\", alpha=\"0.08\", expect_size=\"50212864\"] \n  16 -> 30 [size =\"50212864\"]\n  16 -> 34 [size =\"50212864\"]\n  16 -> 34 [size =\"50212864\"]\n  16 -> 35 [size =\"50212864\"]\n  17 [size=\"31191040\", alpha=\"0.17\", expect_size=\"12476416\"] \n  17 -> 30 [size =\"12476416\"]\n  17 -> 33 [size =\"12476416\"]\n  17 -> 34 [size =\"12476416\"]\n  18 [size=\"56737280\", alpha=\"0.05\", expect_size=\"22694912\"] \n  18 -> 30 [size =\"22694912\"]\n  18 -> 32 [size =\"22694912\"]\n  18 -> 33 [size =\"22694912\"]\n  18 -> 34 [size =\"22694912\"]\n  18 -> 35 [size =\"22694912\"]\n  19 [size=\"87864320\", alpha=\"0.09\", expect_size=\"35145728\"] \n  19 -> 29 [size =\"35145728\"]\n  19 -> 30 [size =\"35145728\"]\n  19 -> 31 [size =\"35145728\"]\n  19 -> 32 [size =\"35145728\"]\n  19 -> 33 [size =\"35145728\"]\n  20 [size=\"49832960\", alpha=\"0.19\", expect_size=\"19933184\"] \n  20 -> 29 [size =\"19933184\"]\n  20 -> 32 [size =\"19933184\"]\n  20 -> 33 [size =\"19933184\"]\n  20 -> 34 [size =\"19933184\"]\n  21 [size=\"107338240\", alpha=\"0.12\", expect_size=\"42935296\"] \n  21 -> 29 [size =\"42935296\"]\n  21 -> 31 [size =\"42935296\"]\n  21 -> 32 [size =\"42935296\"]\n  21 -> 33 [size =\"42935296\"]\n  21 -> 35 [size =\"42935296\"]\n  22 [size=\"73018880\", alpha=\"0.18\", expect_size=\"29207552\"] \n  22 -> 29 [size =\"29207552\"]\n  22 -> 32 [size =\"29207552\"]\n  22 -> 33 [size =\"29207552\"]\n  22 -> 33 [size =\"29207552\"]\n  22 -> 34 [size =\"29207552\"]\n  23 [size=\"99512320\", alpha=\"0.08\", expect_size=\"39804928\"] \n  23 -> 30 [size =\"39804928\"]\n  23 -> 32 [size =\"39804928\"]\n  23 -> 33 [size =\"39804928\"]\n  23 -> 34 [size =\"39804928\"]\n  24 [size=\"68817920\", alpha=\"0.09\", expect_size=\"27527168\"] \n  24 -> 30 [size =\"27527168\"]\n  24 -> 32 [size =\"27527168\"]\n  24 -> 34 [size =\"27527168\"]\n  25 [size=\"117849600\", alpha=\"0.05\", expect_size=\"47139840\"] \n  25 -> 29 [size =\"47139840\"]\n  25 -> 34 [size =\"47139840\"]\n  25 -> 35 [size =\"47139840\"]\n  26 [size=\"84817920\", alpha=\"0.04\", expect_size=\"33927168\"] \n  26 -> 33 [size =\"33927168\"]\n  26 -> 35 [size =\"33927168\"]\n  27 [size=\"16202240\", alpha=\"0.02\", expect_size=\"6480896\"] \n  27 -> 29 [size =\"6480896\"]\n  27 -> 32 [size =\"6480896\"]\n  27 -> 33 [size =\"6480896\"]\n  27 -> 35 [size =\"6480896\"]\n  28 [size=\"114987520\", alpha=\"0.10\", expect_size=\"45995008\"] \n  28 -> 29 [size =\"45995008\"]\n  28 -> 30 [size =\"45995008\"]\n  29 [size=\"25520640\", alpha=\"0.19\", expect_size=\"10208256\"] \n  30 [size=\"80819200\", alpha=\"0.16\", expect_size=\"32327680\"] \n  31 [size=\"72248320\", alpha=\"0.03\", expect_size=\"28899328\"] \n  32 [size=\"24115200\", alpha=\"0.02\", expect_size=\"9646080\"] \n  33 [size=\"14809600\", alpha=\"0.09\", expect_size=\"5923840\"] \n  34 [size=\"61027840\", alpha=\"0.08\", expect_size=\"24411136\"] \n  35 [size=\"116177920\", alpha=\"0.15\", expect_size=\"46471168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98788693\", alpha=\"0.15\", expect_size=\"29636608\"] \n  1 -> 12 [size =\"29636608\"]\n  1 -> 14 [size =\"29636608\"]\n  1 -> 17 [size =\"29636608\"]\n  1 -> 19 [size =\"29636608\"]\n  1 -> 20 [size =\"29636608\"]\n  1 -> 21 [size =\"29636608\"]\n  2 [size=\"66836480\", alpha=\"0.14\", expect_size=\"20050944\"] \n  2 -> 12 [size =\"20050944\"]\n  2 -> 14 [size =\"20050944\"]\n  2 -> 20 [size =\"20050944\"]\n  2 -> 21 [size =\"20050944\"]\n  3 [size=\"57739947\", alpha=\"0.20\", expect_size=\"17321984\"] \n  3 -> 14 [size =\"17321984\"]\n  3 -> 14 [size =\"17321984\"]\n  3 -> 15 [size =\"17321984\"]\n  3 -> 19 [size =\"17321984\"]\n  4 [size=\"162396160\", alpha=\"0.15\", expect_size=\"48718848\"] \n  4 -> 19 [size =\"48718848\"]\n  4 -> 21 [size =\"48718848\"]\n  4 -> 22 [size =\"48718848\"]\n  5 [size=\"84640427\", alpha=\"0.02\", expect_size=\"25392128\"] \n  5 -> 11 [size =\"25392128\"]\n  5 -> 16 [size =\"25392128\"]\n  5 -> 17 [size =\"25392128\"]\n  5 -> 22 [size =\"25392128\"]\n  6 [size=\"23135573\", alpha=\"0.11\", expect_size=\"6940672\"] \n  6 -> 11 [size =\"6940672\"]\n  6 -> 15 [size =\"6940672\"]\n  6 -> 19 [size =\"6940672\"]\n  6 -> 20 [size =\"6940672\"]\n  7 [size=\"38877867\", alpha=\"0.08\", expect_size=\"11663360\"] \n  7 -> 15 [size =\"11663360\"]\n  7 -> 19 [size =\"11663360\"]\n  7 -> 20 [size =\"11663360\"]\n  8 [size=\"133632000\", alpha=\"0.13\", expect_size=\"40089600\"] \n  8 -> 13 [size =\"40089600\"]\n  8 -> 18 [size =\"40089600\"]\n  8 -> 22 [size =\"40089600\"]\n  9 [size=\"156081493\", alpha=\"0.04\", expect_size=\"46824448\"] \n  9 -> 16 [size =\"46824448\"]\n  9 -> 17 [size =\"46824448\"]\n  9 -> 18 [size =\"46824448\"]\n  9 -> 21 [size =\"46824448\"]\n  9 -> 23 [size =\"46824448\"]\n  10 [size=\"160747520\", alpha=\"0.11\", expect_size=\"48224256\"] \n  10 -> 11 [size =\"48224256\"]\n  10 -> 12 [size =\"48224256\"]\n  10 -> 13 [size =\"48224256\"]\n  10 -> 17 [size =\"48224256\"]\n  10 -> 19 [size =\"48224256\"]\n  11 [size=\"60948480\", alpha=\"0.03\", expect_size=\"18284544\"] \n  11 -> 24 [size =\"18284544\"]\n  11 -> 25 [size =\"18284544\"]\n  11 -> 26 [size =\"18284544\"]\n  11 -> 28 [size =\"18284544\"]\n  11 -> 29 [size =\"18284544\"]\n  11 -> 33 [size =\"18284544\"]\n  11 -> 34 [size =\"18284544\"]\n  12 [size=\"20384427\", alpha=\"0.08\", expect_size=\"6115328\"] \n  12 -> 24 [size =\"6115328\"]\n  12 -> 25 [size =\"6115328\"]\n  12 -> 26 [size =\"6115328\"]\n  12 -> 27 [size =\"6115328\"]\n  12 -> 28 [size =\"6115328\"]\n  12 -> 29 [size =\"6115328\"]\n  13 [size=\"128931840\", alpha=\"0.07\", expect_size=\"38679552\"] \n  13 -> 24 [size =\"38679552\"]\n  13 -> 28 [size =\"38679552\"]\n  13 -> 29 [size =\"38679552\"]\n  14 [size=\"126638080\", alpha=\"0.11\", expect_size=\"37991424\"] \n  14 -> 24 [size =\"37991424\"]\n  14 -> 25 [size =\"37991424\"]\n  14 -> 31 [size =\"37991424\"]\n  15 [size=\"84524373\", alpha=\"0.05\", expect_size=\"25357312\"] \n  15 -> 24 [size =\"25357312\"]\n  15 -> 25 [size =\"25357312\"]\n  15 -> 30 [size =\"25357312\"]\n  15 -> 32 [size =\"25357312\"]\n  15 -> 34 [size =\"25357312\"]\n  16 [size=\"99566933\", alpha=\"0.18\", expect_size=\"29870080\"] \n  16 -> 25 [size =\"29870080\"]\n  16 -> 26 [size =\"29870080\"]\n  16 -> 27 [size =\"29870080\"]\n  16 -> 29 [size =\"29870080\"]\n  16 -> 31 [size =\"29870080\"]\n  16 -> 34 [size =\"29870080\"]\n  17 [size=\"27395413\", alpha=\"0.03\", expect_size=\"8218624\"] \n  17 -> 25 [size =\"8218624\"]\n  17 -> 30 [size =\"8218624\"]\n  17 -> 31 [size =\"8218624\"]\n  18 [size=\"87217493\", alpha=\"0.03\", expect_size=\"26165248\"] \n  18 -> 26 [size =\"26165248\"]\n  18 -> 28 [size =\"26165248\"]\n  18 -> 29 [size =\"26165248\"]\n  18 -> 30 [size =\"26165248\"]\n  18 -> 32 [size =\"26165248\"]\n  18 -> 34 [size =\"26165248\"]\n  19 [size=\"30477653\", alpha=\"0.04\", expect_size=\"9143296\"] \n  19 -> 24 [size =\"9143296\"]\n  19 -> 27 [size =\"9143296\"]\n  19 -> 28 [size =\"9143296\"]\n  19 -> 30 [size =\"9143296\"]\n  19 -> 31 [size =\"9143296\"]\n  19 -> 34 [size =\"9143296\"]\n  20 [size=\"64580267\", alpha=\"0.04\", expect_size=\"19374080\"] \n  20 -> 24 [size =\"19374080\"]\n  20 -> 25 [size =\"19374080\"]\n  20 -> 26 [size =\"19374080\"]\n  20 -> 28 [size =\"19374080\"]\n  20 -> 29 [size =\"19374080\"]\n  20 -> 30 [size =\"19374080\"]\n  20 -> 33 [size =\"19374080\"]\n  20 -> 34 [size =\"19374080\"]\n  21 [size=\"148609707\", alpha=\"0.14\", expect_size=\"44582912\"] \n  21 -> 25 [size =\"44582912\"]\n  21 -> 28 [size =\"44582912\"]\n  21 -> 29 [size =\"44582912\"]\n  21 -> 33 [size =\"44582912\"]\n  22 [size=\"171868160\", alpha=\"0.10\", expect_size=\"51560448\"] \n  22 -> 24 [size =\"51560448\"]\n  22 -> 29 [size =\"51560448\"]\n  22 -> 30 [size =\"51560448\"]\n  22 -> 31 [size =\"51560448\"]\n  23 [size=\"78987947\", alpha=\"0.12\", expect_size=\"23696384\"] \n  23 -> 26 [size =\"23696384\"]\n  23 -> 28 [size =\"23696384\"]\n  23 -> 31 [size =\"23696384\"]\n  23 -> 33 [size =\"23696384\"]\n  24 [size=\"133922133\", alpha=\"0.12\", expect_size=\"40176640\"] \n  24 -> 35 [size =\"40176640\"]\n  25 [size=\"64580267\", alpha=\"0.00\", expect_size=\"19374080\"] \n  25 -> 35 [size =\"19374080\"]\n  26 [size=\"105792853\", alpha=\"0.10\", expect_size=\"31737856\"] \n  27 [size=\"88927573\", alpha=\"0.02\", expect_size=\"26678272\"] \n  28 [size=\"110161920\", alpha=\"0.08\", expect_size=\"33048576\"] \n  29 [size=\"130061653\", alpha=\"0.13\", expect_size=\"39018496\"] \n  29 -> 35 [size =\"39018496\"]\n  30 [size=\"159668907\", alpha=\"0.16\", expect_size=\"47900672\"] \n  30 -> 35 [size =\"47900672\"]\n  31 [size=\"30842880\", alpha=\"0.04\", expect_size=\"9252864\"] \n  31 -> 35 [size =\"9252864\"]\n  32 [size=\"139472213\", alpha=\"0.12\", expect_size=\"41841664\"] \n  33 [size=\"63054507\", alpha=\"0.15\", expect_size=\"18916352\"] \n  34 [size=\"156429653\", alpha=\"0.11\", expect_size=\"46928896\"] \n  35 [size=\"92661760\", alpha=\"0.16\", expect_size=\"27798528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35876864\", alpha=\"0.01\", expect_size=\"17938432\"] \n  1 -> 24 [size =\"17938432\"]\n  1 -> 25 [size =\"17938432\"]\n  1 -> 32 [size =\"17938432\"]\n  1 -> 34 [size =\"17938432\"]\n  2 [size=\"46802944\", alpha=\"0.06\", expect_size=\"23401472\"] \n  2 -> 34 [size =\"23401472\"]\n  2 -> 35 [size =\"23401472\"]\n  3 [size=\"65861632\", alpha=\"0.10\", expect_size=\"32930816\"] \n  3 -> 24 [size =\"32930816\"]\n  3 -> 26 [size =\"32930816\"]\n  3 -> 35 [size =\"32930816\"]\n  4 [size=\"103100416\", alpha=\"0.19\", expect_size=\"51550208\"] \n  4 -> 24 [size =\"51550208\"]\n  4 -> 25 [size =\"51550208\"]\n  4 -> 32 [size =\"51550208\"]\n  5 [size=\"11724800\", alpha=\"0.04\", expect_size=\"5862400\"] \n  5 -> 24 [size =\"5862400\"]\n  5 -> 27 [size =\"5862400\"]\n  5 -> 32 [size =\"5862400\"]\n  5 -> 33 [size =\"5862400\"]\n  5 -> 34 [size =\"5862400\"]\n  5 -> 35 [size =\"5862400\"]\n  6 [size=\"86013952\", alpha=\"0.12\", expect_size=\"43006976\"] \n  6 -> 31 [size =\"43006976\"]\n  6 -> 32 [size =\"43006976\"]\n  6 -> 32 [size =\"43006976\"]\n  7 [size=\"60188672\", alpha=\"0.10\", expect_size=\"30094336\"] \n  7 -> 31 [size =\"30094336\"]\n  7 -> 32 [size =\"30094336\"]\n  7 -> 34 [size =\"30094336\"]\n  7 -> 35 [size =\"30094336\"]\n  8 [size=\"69371904\", alpha=\"0.17\", expect_size=\"34685952\"] \n  8 -> 24 [size =\"34685952\"]\n  8 -> 25 [size =\"34685952\"]\n  8 -> 32 [size =\"34685952\"]\n  9 [size=\"67495936\", alpha=\"0.16\", expect_size=\"33747968\"] \n  9 -> 24 [size =\"33747968\"]\n  9 -> 31 [size =\"33747968\"]\n  9 -> 32 [size =\"33747968\"]\n  9 -> 35 [size =\"33747968\"]\n  10 [size=\"63498240\", alpha=\"0.05\", expect_size=\"31749120\"] \n  10 -> 30 [size =\"31749120\"]\n  10 -> 32 [size =\"31749120\"]\n  11 [size=\"41228288\", alpha=\"0.13\", expect_size=\"20614144\"] \n  11 -> 26 [size =\"20614144\"]\n  11 -> 30 [size =\"20614144\"]\n  11 -> 34 [size =\"20614144\"]\n  11 -> 35 [size =\"20614144\"]\n  12 [size=\"48146432\", alpha=\"0.16\", expect_size=\"24073216\"] \n  12 -> 26 [size =\"24073216\"]\n  12 -> 30 [size =\"24073216\"]\n  12 -> 32 [size =\"24073216\"]\n  12 -> 34 [size =\"24073216\"]\n  13 [size=\"74256384\", alpha=\"0.01\", expect_size=\"37128192\"] \n  13 -> 24 [size =\"37128192\"]\n  13 -> 25 [size =\"37128192\"]\n  13 -> 26 [size =\"37128192\"]\n  13 -> 28 [size =\"37128192\"]\n  13 -> 30 [size =\"37128192\"]\n  13 -> 31 [size =\"37128192\"]\n  13 -> 34 [size =\"37128192\"]\n  14 [size=\"28276736\", alpha=\"0.10\", expect_size=\"14138368\"] \n  14 -> 24 [size =\"14138368\"]\n  14 -> 28 [size =\"14138368\"]\n  14 -> 30 [size =\"14138368\"]\n  14 -> 34 [size =\"14138368\"]\n  15 [size=\"24948736\", alpha=\"0.04\", expect_size=\"12474368\"] \n  16 [size=\"42012672\", alpha=\"0.09\", expect_size=\"21006336\"] \n  17 [size=\"97603584\", alpha=\"0.15\", expect_size=\"48801792\"] \n  17 -> 24 [size =\"48801792\"]\n  17 -> 25 [size =\"48801792\"]\n  17 -> 26 [size =\"48801792\"]\n  17 -> 29 [size =\"48801792\"]\n  17 -> 34 [size =\"48801792\"]\n  18 [size=\"49856512\", alpha=\"0.08\", expect_size=\"24928256\"] \n  18 -> 24 [size =\"24928256\"]\n  18 -> 25 [size =\"24928256\"]\n  19 [size=\"37701632\", alpha=\"0.04\", expect_size=\"18850816\"] \n  20 [size=\"17031168\", alpha=\"0.00\", expect_size=\"8515584\"] \n  20 -> 26 [size =\"8515584\"]\n  21 [size=\"40642560\", alpha=\"0.01\", expect_size=\"20321280\"] \n  21 -> 24 [size =\"20321280\"]\n  21 -> 29 [size =\"20321280\"]\n  22 [size=\"104093696\", alpha=\"0.10\", expect_size=\"52046848\"] \n  22 -> 25 [size =\"52046848\"]\n  22 -> 32 [size =\"52046848\"]\n  22 -> 34 [size =\"52046848\"]\n  23 [size=\"86198272\", alpha=\"0.11\", expect_size=\"43099136\"] \n  23 -> 24 [size =\"43099136\"]\n  23 -> 25 [size =\"43099136\"]\n  23 -> 28 [size =\"43099136\"]\n  23 -> 32 [size =\"43099136\"]\n  23 -> 34 [size =\"43099136\"]\n  23 -> 35 [size =\"43099136\"]\n  24 [size=\"91203584\", alpha=\"0.11\", expect_size=\"45601792\"] \n  25 [size=\"45594624\", alpha=\"0.12\", expect_size=\"22797312\"] \n  26 [size=\"63037440\", alpha=\"0.08\", expect_size=\"31518720\"] \n  27 [size=\"103686144\", alpha=\"0.15\", expect_size=\"51843072\"] \n  28 [size=\"80412672\", alpha=\"0.15\", expect_size=\"40206336\"] \n  29 [size=\"21663744\", alpha=\"0.07\", expect_size=\"10831872\"] \n  30 [size=\"41678848\", alpha=\"0.09\", expect_size=\"20839424\"] \n  31 [size=\"42090496\", alpha=\"0.19\", expect_size=\"21045248\"] \n  32 [size=\"48291840\", alpha=\"0.16\", expect_size=\"24145920\"] \n  33 [size=\"96602112\", alpha=\"0.07\", expect_size=\"48301056\"] \n  34 [size=\"53653504\", alpha=\"0.02\", expect_size=\"26826752\"] \n  35 [size=\"12060672\", alpha=\"0.20\", expect_size=\"6030336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77448533\", alpha=\"0.19\", expect_size=\"23234560\"] \n  1 -> 15 [size =\"23234560\"]\n  1 -> 16 [size =\"23234560\"]\n  1 -> 22 [size =\"23234560\"]\n  2 [size=\"80322560\", alpha=\"0.17\", expect_size=\"24096768\"] \n  2 -> 14 [size =\"24096768\"]\n  2 -> 20 [size =\"24096768\"]\n  2 -> 21 [size =\"24096768\"]\n  2 -> 22 [size =\"24096768\"]\n  3 [size=\"59944960\", alpha=\"0.06\", expect_size=\"17983488\"] \n  3 -> 13 [size =\"17983488\"]\n  3 -> 16 [size =\"17983488\"]\n  4 [size=\"20517547\", alpha=\"0.13\", expect_size=\"6155264\"] \n  4 -> 13 [size =\"6155264\"]\n  4 -> 16 [size =\"6155264\"]\n  4 -> 17 [size =\"6155264\"]\n  4 -> 19 [size =\"6155264\"]\n  4 -> 21 [size =\"6155264\"]\n  4 -> 22 [size =\"6155264\"]\n  5 [size=\"62129493\", alpha=\"0.20\", expect_size=\"18638848\"] \n  5 -> 19 [size =\"18638848\"]\n  6 [size=\"72925867\", alpha=\"0.13\", expect_size=\"21877760\"] \n  6 -> 13 [size =\"21877760\"]\n  6 -> 18 [size =\"21877760\"]\n  7 [size=\"101416960\", alpha=\"0.07\", expect_size=\"30425088\"] \n  7 -> 13 [size =\"30425088\"]\n  7 -> 15 [size =\"30425088\"]\n  8 [size=\"47063040\", alpha=\"0.10\", expect_size=\"14118912\"] \n  8 -> 13 [size =\"14118912\"]\n  8 -> 17 [size =\"14118912\"]\n  8 -> 18 [size =\"14118912\"]\n  8 -> 21 [size =\"14118912\"]\n  9 [size=\"104956587\", alpha=\"0.19\", expect_size=\"31486976\"] \n  9 -> 17 [size =\"31486976\"]\n  9 -> 18 [size =\"31486976\"]\n  9 -> 19 [size =\"31486976\"]\n  9 -> 21 [size =\"31486976\"]\n  10 [size=\"64860160\", alpha=\"0.07\", expect_size=\"19458048\"] \n  10 -> 13 [size =\"19458048\"]\n  10 -> 17 [size =\"19458048\"]\n  10 -> 18 [size =\"19458048\"]\n  10 -> 23 [size =\"19458048\"]\n  11 [size=\"144162133\", alpha=\"0.18\", expect_size=\"43248640\"] \n  11 -> 17 [size =\"43248640\"]\n  12 [size=\"138240000\", alpha=\"0.16\", expect_size=\"41472000\"] \n  12 -> 13 [size =\"41472000\"]\n  12 -> 16 [size =\"41472000\"]\n  12 -> 17 [size =\"41472000\"]\n  12 -> 18 [size =\"41472000\"]\n  13 [size=\"115804160\", alpha=\"0.01\", expect_size=\"34741248\"] \n  13 -> 25 [size =\"34741248\"]\n  13 -> 26 [size =\"34741248\"]\n  13 -> 27 [size =\"34741248\"]\n  13 -> 29 [size =\"34741248\"]\n  13 -> 31 [size =\"34741248\"]\n  13 -> 33 [size =\"34741248\"]\n  14 [size=\"160709973\", alpha=\"0.15\", expect_size=\"48212992\"] \n  14 -> 24 [size =\"48212992\"]\n  14 -> 25 [size =\"48212992\"]\n  14 -> 28 [size =\"48212992\"]\n  14 -> 29 [size =\"48212992\"]\n  14 -> 30 [size =\"48212992\"]\n  14 -> 31 [size =\"48212992\"]\n  14 -> 32 [size =\"48212992\"]\n  14 -> 34 [size =\"48212992\"]\n  15 [size=\"105417387\", alpha=\"0.09\", expect_size=\"31625216\"] \n  15 -> 25 [size =\"31625216\"]\n  15 -> 28 [size =\"31625216\"]\n  16 [size=\"102014293\", alpha=\"0.04\", expect_size=\"30604288\"] \n  16 -> 24 [size =\"30604288\"]\n  16 -> 25 [size =\"30604288\"]\n  16 -> 28 [size =\"30604288\"]\n  16 -> 30 [size =\"30604288\"]\n  16 -> 33 [size =\"30604288\"]\n  17 [size=\"46192640\", alpha=\"0.14\", expect_size=\"13857792\"] \n  17 -> 25 [size =\"13857792\"]\n  17 -> 27 [size =\"13857792\"]\n  17 -> 28 [size =\"13857792\"]\n  17 -> 32 [size =\"13857792\"]\n  17 -> 33 [size =\"13857792\"]\n  18 [size=\"98699947\", alpha=\"0.12\", expect_size=\"29609984\"] \n  18 -> 29 [size =\"29609984\"]\n  18 -> 30 [size =\"29609984\"]\n  18 -> 31 [size =\"29609984\"]\n  18 -> 33 [size =\"29609984\"]\n  19 [size=\"23695360\", alpha=\"0.05\", expect_size=\"7108608\"] \n  19 -> 28 [size =\"7108608\"]\n  19 -> 30 [size =\"7108608\"]\n  19 -> 31 [size =\"7108608\"]\n  19 -> 32 [size =\"7108608\"]\n  19 -> 33 [size =\"7108608\"]\n  20 [size=\"171506347\", alpha=\"0.04\", expect_size=\"51451904\"] \n  20 -> 28 [size =\"51451904\"]\n  20 -> 29 [size =\"51451904\"]\n  20 -> 33 [size =\"51451904\"]\n  21 [size=\"70840320\", alpha=\"0.10\", expect_size=\"21252096\"] \n  21 -> 30 [size =\"21252096\"]\n  21 -> 32 [size =\"21252096\"]\n  22 [size=\"57009493\", alpha=\"0.04\", expect_size=\"17102848\"] \n  22 -> 27 [size =\"17102848\"]\n  23 [size=\"22504107\", alpha=\"0.04\", expect_size=\"6751232\"] \n  23 -> 25 [size =\"6751232\"]\n  23 -> 27 [size =\"6751232\"]\n  23 -> 28 [size =\"6751232\"]\n  24 [size=\"28675413\", alpha=\"0.04\", expect_size=\"8602624\"] \n  25 [size=\"142885547\", alpha=\"0.09\", expect_size=\"42865664\"] \n  26 [size=\"56374613\", alpha=\"0.02\", expect_size=\"16912384\"] \n  27 [size=\"90371413\", alpha=\"0.05\", expect_size=\"27111424\"] \n  28 [size=\"41509547\", alpha=\"0.12\", expect_size=\"12452864\"] \n  29 [size=\"133792427\", alpha=\"0.11\", expect_size=\"40137728\"] \n  30 [size=\"174636373\", alpha=\"0.15\", expect_size=\"52390912\"] \n  30 -> 35 [size =\"52390912\"]\n  31 [size=\"46690987\", alpha=\"0.15\", expect_size=\"14007296\"] \n  32 [size=\"124501333\", alpha=\"0.11\", expect_size=\"37350400\"] \n  33 [size=\"156344320\", alpha=\"0.19\", expect_size=\"46903296\"] \n  33 -> 35 [size =\"46903296\"]\n  34 [size=\"27402240\", alpha=\"0.06\", expect_size=\"8220672\"] \n  34 -> 35 [size =\"8220672\"]\n  35 [size=\"55289173\", alpha=\"0.03\", expect_size=\"16586752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55089152\", alpha=\"0.06\", expect_size=\"27544576\"] \n  1 -> 6 [size =\"27544576\"]\n  1 -> 8 [size =\"27544576\"]\n  2 [size=\"17512448\", alpha=\"0.12\", expect_size=\"8756224\"] \n  3 [size=\"25679872\", alpha=\"0.03\", expect_size=\"12839936\"] \n  3 -> 5 [size =\"12839936\"]\n  3 -> 6 [size =\"12839936\"]\n  3 -> 7 [size =\"12839936\"]\n  3 -> 8 [size =\"12839936\"]\n  4 [size=\"33325056\", alpha=\"0.03\", expect_size=\"16662528\"] \n  4 -> 6 [size =\"16662528\"]\n  4 -> 7 [size =\"16662528\"]\n  4 -> 9 [size =\"16662528\"]\n  5 [size=\"48148480\", alpha=\"0.19\", expect_size=\"24074240\"] \n  5 -> 12 [size =\"24074240\"]\n  6 [size=\"29554688\", alpha=\"0.13\", expect_size=\"14777344\"] \n  6 -> 10 [size =\"14777344\"]\n  6 -> 11 [size =\"14777344\"]\n  6 -> 12 [size =\"14777344\"]\n  6 -> 14 [size =\"14777344\"]\n  7 [size=\"38963200\", alpha=\"0.15\", expect_size=\"19481600\"] \n  7 -> 10 [size =\"19481600\"]\n  7 -> 13 [size =\"19481600\"]\n  7 -> 14 [size =\"19481600\"]\n  8 [size=\"84424704\", alpha=\"0.04\", expect_size=\"42212352\"] \n  9 [size=\"44580864\", alpha=\"0.17\", expect_size=\"22290432\"] \n  9 -> 12 [size =\"22290432\"]\n  9 -> 14 [size =\"22290432\"]\n  10 [size=\"67866624\", alpha=\"0.00\", expect_size=\"33933312\"] \n  10 -> 15 [size =\"33933312\"]\n  10 -> 17 [size =\"33933312\"]\n  11 [size=\"66603008\", alpha=\"0.01\", expect_size=\"33301504\"] \n  11 -> 15 [size =\"33301504\"]\n  11 -> 16 [size =\"33301504\"]\n  12 [size=\"93534208\", alpha=\"0.12\", expect_size=\"46767104\"] \n  12 -> 15 [size =\"46767104\"]\n  12 -> 16 [size =\"46767104\"]\n  12 -> 18 [size =\"46767104\"]\n  12 -> 19 [size =\"46767104\"]\n  13 [size=\"57546752\", alpha=\"0.03\", expect_size=\"28773376\"] \n  13 -> 16 [size =\"28773376\"]\n  13 -> 17 [size =\"28773376\"]\n  13 -> 19 [size =\"28773376\"]\n  14 [size=\"70950912\", alpha=\"0.00\", expect_size=\"35475456\"] \n  14 -> 16 [size =\"35475456\"]\n  14 -> 17 [size =\"35475456\"]\n  14 -> 19 [size =\"35475456\"]\n  15 [size=\"86996992\", alpha=\"0.15\", expect_size=\"43498496\"] \n  15 -> 20 [size =\"43498496\"]\n  15 -> 21 [size =\"43498496\"]\n  15 -> 22 [size =\"43498496\"]\n  16 [size=\"80551936\", alpha=\"0.01\", expect_size=\"40275968\"] \n  16 -> 20 [size =\"40275968\"]\n  16 -> 23 [size =\"40275968\"]\n  17 [size=\"46321664\", alpha=\"0.09\", expect_size=\"23160832\"] \n  17 -> 23 [size =\"23160832\"]\n  18 [size=\"20783104\", alpha=\"0.11\", expect_size=\"10391552\"] \n  18 -> 22 [size =\"10391552\"]\n  18 -> 23 [size =\"10391552\"]\n  19 [size=\"38537216\", alpha=\"0.05\", expect_size=\"19268608\"] \n  19 -> 21 [size =\"19268608\"]\n  20 [size=\"22360064\", alpha=\"0.18\", expect_size=\"11180032\"] \n  20 -> 24 [size =\"11180032\"]\n  20 -> 25 [size =\"11180032\"]\n  20 -> 27 [size =\"11180032\"]\n  20 -> 29 [size =\"11180032\"]\n  21 [size=\"23113728\", alpha=\"0.00\", expect_size=\"11556864\"] \n  21 -> 24 [size =\"11556864\"]\n  21 -> 25 [size =\"11556864\"]\n  21 -> 28 [size =\"11556864\"]\n  22 [size=\"25800704\", alpha=\"0.04\", expect_size=\"12900352\"] \n  22 -> 24 [size =\"12900352\"]\n  22 -> 26 [size =\"12900352\"]\n  22 -> 27 [size =\"12900352\"]\n  23 [size=\"83253248\", alpha=\"0.12\", expect_size=\"41626624\"] \n  23 -> 27 [size =\"41626624\"]\n  23 -> 28 [size =\"41626624\"]\n  24 [size=\"99004416\", alpha=\"0.04\", expect_size=\"49502208\"] \n  24 -> 30 [size =\"49502208\"]\n  24 -> 31 [size =\"49502208\"]\n  24 -> 33 [size =\"49502208\"]\n  25 [size=\"100888576\", alpha=\"0.04\", expect_size=\"50444288\"] \n  25 -> 31 [size =\"50444288\"]\n  26 [size=\"78157824\", alpha=\"0.08\", expect_size=\"39078912\"] \n  26 -> 30 [size =\"39078912\"]\n  26 -> 31 [size =\"39078912\"]\n  26 -> 32 [size =\"39078912\"]\n  26 -> 33 [size =\"39078912\"]\n  27 [size=\"81434624\", alpha=\"0.18\", expect_size=\"40717312\"] \n  27 -> 30 [size =\"40717312\"]\n  27 -> 32 [size =\"40717312\"]\n  28 [size=\"27426816\", alpha=\"0.04\", expect_size=\"13713408\"] \n  29 [size=\"81598464\", alpha=\"0.17\", expect_size=\"40799232\"] \n  29 -> 31 [size =\"40799232\"]\n  30 [size=\"104312832\", alpha=\"0.02\", expect_size=\"52156416\"] \n  30 -> 34 [size =\"52156416\"]\n  30 -> 35 [size =\"52156416\"]\n  31 [size=\"94410752\", alpha=\"0.19\", expect_size=\"47205376\"] \n  31 -> 35 [size =\"47205376\"]\n  32 [size=\"96499712\", alpha=\"0.14\", expect_size=\"48249856\"] \n  33 [size=\"23232512\", alpha=\"0.19\", expect_size=\"11616256\"] \n  33 -> 34 [size =\"11616256\"]\n  33 -> 35 [size =\"11616256\"]\n  34 [size=\"78546944\", alpha=\"0.16\", expect_size=\"39273472\"] \n  35 [size=\"96542720\", alpha=\"0.10\", expect_size=\"48271360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74618880\", alpha=\"0.15\", expect_size=\"22385664\"] \n  1 -> 2 [size =\"22385664\"]\n  2 [size=\"116077227\", alpha=\"0.17\", expect_size=\"34823168\"] \n  2 -> 3 [size =\"34823168\"]\n  3 [size=\"167137280\", alpha=\"0.09\", expect_size=\"50141184\"] \n  3 -> 4 [size =\"50141184\"]\n  4 [size=\"38608213\", alpha=\"0.11\", expect_size=\"11582464\"] \n  4 -> 5 [size =\"11582464\"]\n  4 -> 6 [size =\"11582464\"]\n  5 [size=\"84155733\", alpha=\"0.10\", expect_size=\"25246720\"] \n  5 -> 7 [size =\"25246720\"]\n  6 [size=\"70369280\", alpha=\"0.02\", expect_size=\"21110784\"] \n  6 -> 8 [size =\"21110784\"]\n  7 [size=\"102311253\", alpha=\"0.00\", expect_size=\"30693376\"] \n  8 [size=\"86446080\", alpha=\"0.04\", expect_size=\"25933824\"] \n  8 -> 9 [size =\"25933824\"]\n  8 -> 10 [size =\"25933824\"]\n  9 [size=\"85988693\", alpha=\"0.20\", expect_size=\"25796608\"] \n  9 -> 12 [size =\"25796608\"]\n  10 [size=\"48800427\", alpha=\"0.01\", expect_size=\"14640128\"] \n  10 -> 11 [size =\"14640128\"]\n  11 [size=\"29453653\", alpha=\"0.11\", expect_size=\"8836096\"] \n  11 -> 14 [size =\"8836096\"]\n  12 [size=\"150626987\", alpha=\"0.06\", expect_size=\"45188096\"] \n  12 -> 13 [size =\"45188096\"]\n  13 [size=\"123439787\", alpha=\"0.05\", expect_size=\"37031936\"] \n  14 [size=\"33870507\", alpha=\"0.13\", expect_size=\"10161152\"] \n  14 -> 15 [size =\"10161152\"]\n  15 [size=\"123026773\", alpha=\"0.12\", expect_size=\"36908032\"] \n  15 -> 16 [size =\"36908032\"]\n  16 [size=\"45789867\", alpha=\"0.04\", expect_size=\"13736960\"] \n  16 -> 17 [size =\"13736960\"]\n  16 -> 18 [size =\"13736960\"]\n  17 [size=\"62723413\", alpha=\"0.02\", expect_size=\"18817024\"] \n  17 -> 20 [size =\"18817024\"]\n  18 [size=\"66467840\", alpha=\"0.15\", expect_size=\"19940352\"] \n  18 -> 19 [size =\"19940352\"]\n  19 [size=\"96232107\", alpha=\"0.18\", expect_size=\"28869632\"] \n  20 [size=\"93835947\", alpha=\"0.02\", expect_size=\"28150784\"] \n  20 -> 21 [size =\"28150784\"]\n  20 -> 22 [size =\"28150784\"]\n  21 [size=\"102966613\", alpha=\"0.13\", expect_size=\"30889984\"] \n  21 -> 23 [size =\"30889984\"]\n  22 [size=\"30139733\", alpha=\"0.16\", expect_size=\"9041920\"] \n  23 [size=\"77158400\", alpha=\"0.18\", expect_size=\"23147520\"] \n  23 -> 24 [size =\"23147520\"]\n  23 -> 25 [size =\"23147520\"]\n  24 [size=\"117705387\", alpha=\"0.03\", expect_size=\"35311616\"] \n  25 [size=\"59316907\", alpha=\"0.17\", expect_size=\"17795072\"] \n  25 -> 26 [size =\"17795072\"]\n  25 -> 27 [size =\"17795072\"]\n  26 [size=\"157487787\", alpha=\"0.17\", expect_size=\"47246336\"] \n  26 -> 28 [size =\"47246336\"]\n  26 -> 29 [size =\"47246336\"]\n  27 [size=\"32829440\", alpha=\"0.08\", expect_size=\"9848832\"] \n  28 [size=\"49851733\", alpha=\"0.08\", expect_size=\"14955520\"] \n  28 -> 31 [size =\"14955520\"]\n  29 [size=\"167311360\", alpha=\"0.17\", expect_size=\"50193408\"] \n  29 -> 30 [size =\"50193408\"]\n  30 [size=\"153002667\", alpha=\"0.09\", expect_size=\"45900800\"] \n  31 [size=\"166652587\", alpha=\"0.03\", expect_size=\"49995776\"] \n  31 -> 32 [size =\"49995776\"]\n  32 [size=\"108127573\", alpha=\"0.14\", expect_size=\"32438272\"] \n  32 -> 33 [size =\"32438272\"]\n  33 [size=\"76025173\", alpha=\"0.19\", expect_size=\"22807552\"] \n  33 -> 34 [size =\"22807552\"]\n  33 -> 35 [size =\"22807552\"]\n  34 [size=\"62723413\", alpha=\"0.05\", expect_size=\"18817024\"] \n  35 [size=\"89350827\", alpha=\"0.05\", expect_size=\"26805248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129282560\", alpha=\"0.02\", expect_size=\"51713024\"] \n  1 -> 12 [size =\"51713024\"]\n  1 -> 14 [size =\"51713024\"]\n  1 -> 16 [size =\"51713024\"]\n  1 -> 17 [size =\"51713024\"]\n  1 -> 19 [size =\"51713024\"]\n  1 -> 23 [size =\"51713024\"]\n  2 [size=\"92014080\", alpha=\"0.17\", expect_size=\"36805632\"] \n  2 -> 13 [size =\"36805632\"]\n  2 -> 14 [size =\"36805632\"]\n  2 -> 16 [size =\"36805632\"]\n  2 -> 17 [size =\"36805632\"]\n  2 -> 19 [size =\"36805632\"]\n  2 -> 22 [size =\"36805632\"]\n  2 -> 23 [size =\"36805632\"]\n  3 [size=\"110517760\", alpha=\"0.14\", expect_size=\"44207104\"] \n  3 -> 12 [size =\"44207104\"]\n  3 -> 16 [size =\"44207104\"]\n  3 -> 18 [size =\"44207104\"]\n  3 -> 19 [size =\"44207104\"]\n  3 -> 20 [size =\"44207104\"]\n  3 -> 21 [size =\"44207104\"]\n  4 [size=\"51873280\", alpha=\"0.18\", expect_size=\"20749312\"] \n  4 -> 12 [size =\"20749312\"]\n  4 -> 14 [size =\"20749312\"]\n  4 -> 16 [size =\"20749312\"]\n  4 -> 20 [size =\"20749312\"]\n  4 -> 22 [size =\"20749312\"]\n  5 [size=\"115944960\", alpha=\"0.13\", expect_size=\"46377984\"] \n  5 -> 14 [size =\"46377984\"]\n  5 -> 16 [size =\"46377984\"]\n  5 -> 19 [size =\"46377984\"]\n  5 -> 20 [size =\"46377984\"]\n  5 -> 22 [size =\"46377984\"]\n  6 [size=\"51000320\", alpha=\"0.19\", expect_size=\"20400128\"] \n  6 -> 16 [size =\"20400128\"]\n  6 -> 22 [size =\"20400128\"]\n  7 [size=\"42293760\", alpha=\"0.14\", expect_size=\"16917504\"] \n  7 -> 12 [size =\"16917504\"]\n  7 -> 17 [size =\"16917504\"]\n  7 -> 20 [size =\"16917504\"]\n  7 -> 22 [size =\"16917504\"]\n  8 [size=\"79129600\", alpha=\"0.14\", expect_size=\"31651840\"] \n  8 -> 12 [size =\"31651840\"]\n  8 -> 14 [size =\"31651840\"]\n  8 -> 15 [size =\"31651840\"]\n  8 -> 17 [size =\"31651840\"]\n  8 -> 22 [size =\"31651840\"]\n  8 -> 23 [size =\"31651840\"]\n  9 [size=\"25559040\", alpha=\"0.12\", expect_size=\"10223616\"] \n  9 -> 13 [size =\"10223616\"]\n  9 -> 14 [size =\"10223616\"]\n  9 -> 17 [size =\"10223616\"]\n  9 -> 23 [size =\"10223616\"]\n  10 [size=\"71943680\", alpha=\"0.17\", expect_size=\"28777472\"] \n  10 -> 12 [size =\"28777472\"]\n  10 -> 14 [size =\"28777472\"]\n  10 -> 17 [size =\"28777472\"]\n  10 -> 19 [size =\"28777472\"]\n  11 [size=\"121728000\", alpha=\"0.05\", expect_size=\"48691200\"] \n  11 -> 12 [size =\"48691200\"]\n  11 -> 14 [size =\"48691200\"]\n  11 -> 16 [size =\"48691200\"]\n  11 -> 19 [size =\"48691200\"]\n  11 -> 22 [size =\"48691200\"]\n  12 [size=\"18506240\", alpha=\"0.19\", expect_size=\"7402496\"] \n  12 -> 28 [size =\"7402496\"]\n  12 -> 31 [size =\"7402496\"]\n  12 -> 34 [size =\"7402496\"]\n  13 [size=\"120071680\", alpha=\"0.03\", expect_size=\"48028672\"] \n  13 -> 24 [size =\"48028672\"]\n  13 -> 28 [size =\"48028672\"]\n  13 -> 29 [size =\"48028672\"]\n  13 -> 32 [size =\"48028672\"]\n  13 -> 34 [size =\"48028672\"]\n  14 [size=\"83256320\", alpha=\"0.06\", expect_size=\"33302528\"] \n  14 -> 24 [size =\"33302528\"]\n  14 -> 29 [size =\"33302528\"]\n  14 -> 30 [size =\"33302528\"]\n  14 -> 31 [size =\"33302528\"]\n  15 [size=\"71413760\", alpha=\"0.12\", expect_size=\"28565504\"] \n  15 -> 26 [size =\"28565504\"]\n  15 -> 32 [size =\"28565504\"]\n  15 -> 34 [size =\"28565504\"]\n  16 [size=\"27747840\", alpha=\"0.16\", expect_size=\"11099136\"] \n  16 -> 25 [size =\"11099136\"]\n  16 -> 27 [size =\"11099136\"]\n  16 -> 29 [size =\"11099136\"]\n  16 -> 32 [size =\"11099136\"]\n  16 -> 34 [size =\"11099136\"]\n  17 [size=\"23168000\", alpha=\"0.20\", expect_size=\"9267200\"] \n  17 -> 27 [size =\"9267200\"]\n  17 -> 29 [size =\"9267200\"]\n  17 -> 32 [size =\"9267200\"]\n  17 -> 33 [size =\"9267200\"]\n  18 [size=\"105786880\", alpha=\"0.13\", expect_size=\"42314752\"] \n  18 -> 25 [size =\"42314752\"]\n  18 -> 32 [size =\"42314752\"]\n  18 -> 32 [size =\"42314752\"]\n  18 -> 34 [size =\"42314752\"]\n  19 [size=\"68395520\", alpha=\"0.14\", expect_size=\"27358208\"] \n  19 -> 24 [size =\"27358208\"]\n  19 -> 25 [size =\"27358208\"]\n  19 -> 26 [size =\"27358208\"]\n  19 -> 27 [size =\"27358208\"]\n  19 -> 30 [size =\"27358208\"]\n  19 -> 33 [size =\"27358208\"]\n  20 [size=\"23610880\", alpha=\"0.09\", expect_size=\"9444352\"] \n  20 -> 25 [size =\"9444352\"]\n  20 -> 31 [size =\"9444352\"]\n  20 -> 33 [size =\"9444352\"]\n  21 [size=\"124298240\", alpha=\"0.05\", expect_size=\"49719296\"] \n  21 -> 27 [size =\"49719296\"]\n  21 -> 30 [size =\"49719296\"]\n  21 -> 31 [size =\"49719296\"]\n  21 -> 32 [size =\"49719296\"]\n  21 -> 33 [size =\"49719296\"]\n  22 [size=\"33141760\", alpha=\"0.13\", expect_size=\"13256704\"] \n  22 -> 26 [size =\"13256704\"]\n  22 -> 27 [size =\"13256704\"]\n  22 -> 29 [size =\"13256704\"]\n  22 -> 30 [size =\"13256704\"]\n  22 -> 31 [size =\"13256704\"]\n  22 -> 33 [size =\"13256704\"]\n  23 [size=\"24312320\", alpha=\"0.18\", expect_size=\"9724928\"] \n  23 -> 24 [size =\"9724928\"]\n  23 -> 26 [size =\"9724928\"]\n  23 -> 27 [size =\"9724928\"]\n  23 -> 29 [size =\"9724928\"]\n  23 -> 30 [size =\"9724928\"]\n  23 -> 34 [size =\"9724928\"]\n  24 [size=\"42147840\", alpha=\"0.10\", expect_size=\"16859136\"] \n  25 [size=\"75578880\", alpha=\"0.19\", expect_size=\"30231552\"] \n  25 -> 35 [size =\"30231552\"]\n  26 [size=\"27000320\", alpha=\"0.15\", expect_size=\"10800128\"] \n  26 -> 35 [size =\"10800128\"]\n  27 [size=\"119429120\", alpha=\"0.16\", expect_size=\"47771648\"] \n  28 [size=\"116840960\", alpha=\"0.08\", expect_size=\"46736384\"] \n  29 [size=\"72990720\", alpha=\"0.01\", expect_size=\"29196288\"] \n  29 -> 35 [size =\"29196288\"]\n  30 [size=\"35010560\", alpha=\"0.05\", expect_size=\"14004224\"] \n  30 -> 35 [size =\"14004224\"]\n  31 [size=\"89233920\", alpha=\"0.08\", expect_size=\"35693568\"] \n  32 [size=\"115904000\", alpha=\"0.11\", expect_size=\"46361600\"] \n  33 [size=\"75968000\", alpha=\"0.12\", expect_size=\"30387200\"] \n  33 -> 35 [size =\"30387200\"]\n  34 [size=\"66839040\", alpha=\"0.05\", expect_size=\"26735616\"] \n  35 [size=\"127280640\", alpha=\"0.09\", expect_size=\"50912256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144575147\", alpha=\"0.17\", expect_size=\"43372544\"] \n  2 [size=\"103778987\", alpha=\"0.19\", expect_size=\"31133696\"] \n  3 [size=\"114039467\", alpha=\"0.15\", expect_size=\"34211840\"] \n  3 -> 6 [size =\"34211840\"]\n  4 [size=\"69604693\", alpha=\"0.03\", expect_size=\"20881408\"] \n  4 -> 6 [size =\"20881408\"]\n  5 [size=\"149227520\", alpha=\"0.03\", expect_size=\"44768256\"] \n  5 -> 7 [size =\"44768256\"]\n  5 -> 8 [size =\"44768256\"]\n  6 [size=\"164365653\", alpha=\"0.10\", expect_size=\"49309696\"] \n  6 -> 9 [size =\"49309696\"]\n  6 -> 10 [size =\"49309696\"]\n  7 [size=\"27907413\", alpha=\"0.16\", expect_size=\"8372224\"] \n  7 -> 11 [size =\"8372224\"]\n  8 [size=\"44772693\", alpha=\"0.08\", expect_size=\"13431808\"] \n  8 -> 11 [size =\"13431808\"]\n  8 -> 12 [size =\"13431808\"]\n  9 [size=\"53818027\", alpha=\"0.19\", expect_size=\"16145408\"] \n  9 -> 13 [size =\"16145408\"]\n  9 -> 14 [size =\"16145408\"]\n  9 -> 15 [size =\"16145408\"]\n  9 -> 17 [size =\"16145408\"]\n  10 [size=\"109267627\", alpha=\"0.16\", expect_size=\"32780288\"] \n  10 -> 13 [size =\"32780288\"]\n  11 [size=\"71325013\", alpha=\"0.07\", expect_size=\"21397504\"] \n  11 -> 15 [size =\"21397504\"]\n  11 -> 16 [size =\"21397504\"]\n  11 -> 17 [size =\"21397504\"]\n  12 [size=\"46909440\", alpha=\"0.17\", expect_size=\"14072832\"] \n  12 -> 16 [size =\"14072832\"]\n  13 [size=\"36304213\", alpha=\"0.13\", expect_size=\"10891264\"] \n  13 -> 18 [size =\"10891264\"]\n  13 -> 20 [size =\"10891264\"]\n  14 [size=\"152050347\", alpha=\"0.04\", expect_size=\"45615104\"] \n  14 -> 18 [size =\"45615104\"]\n  14 -> 20 [size =\"45615104\"]\n  14 -> 21 [size =\"45615104\"]\n  15 [size=\"17803947\", alpha=\"0.05\", expect_size=\"5341184\"] \n  15 -> 21 [size =\"5341184\"]\n  16 [size=\"42253653\", alpha=\"0.18\", expect_size=\"12676096\"] \n  16 -> 19 [size =\"12676096\"]\n  16 -> 20 [size =\"12676096\"]\n  17 [size=\"124317013\", alpha=\"0.00\", expect_size=\"37295104\"] \n  18 [size=\"92119040\", alpha=\"0.07\", expect_size=\"27635712\"] \n  18 -> 22 [size =\"27635712\"]\n  19 [size=\"156091733\", alpha=\"0.01\", expect_size=\"46827520\"] \n  19 -> 24 [size =\"46827520\"]\n  19 -> 25 [size =\"46827520\"]\n  20 [size=\"151480320\", alpha=\"0.01\", expect_size=\"45444096\"] \n  21 [size=\"123118933\", alpha=\"0.18\", expect_size=\"36935680\"] \n  21 -> 22 [size =\"36935680\"]\n  21 -> 23 [size =\"36935680\"]\n  21 -> 24 [size =\"36935680\"]\n  21 -> 25 [size =\"36935680\"]\n  22 [size=\"21251413\", alpha=\"0.05\", expect_size=\"6375424\"] \n  22 -> 26 [size =\"6375424\"]\n  22 -> 27 [size =\"6375424\"]\n  22 -> 29 [size =\"6375424\"]\n  22 -> 30 [size =\"6375424\"]\n  22 -> 31 [size =\"6375424\"]\n  23 [size=\"154231467\", alpha=\"0.04\", expect_size=\"46269440\"] \n  23 -> 28 [size =\"46269440\"]\n  23 -> 29 [size =\"46269440\"]\n  23 -> 31 [size =\"46269440\"]\n  24 [size=\"101901653\", alpha=\"0.11\", expect_size=\"30570496\"] \n  24 -> 30 [size =\"30570496\"]\n  25 [size=\"131287040\", alpha=\"0.14\", expect_size=\"39386112\"] \n  26 [size=\"172189013\", alpha=\"0.15\", expect_size=\"51656704\"] \n  26 -> 32 [size =\"51656704\"]\n  27 [size=\"160143360\", alpha=\"0.18\", expect_size=\"48043008\"] \n  27 -> 32 [size =\"48043008\"]\n  28 [size=\"160354987\", alpha=\"0.05\", expect_size=\"48106496\"] \n  29 [size=\"59320320\", alpha=\"0.16\", expect_size=\"17796096\"] \n  29 -> 33 [size =\"17796096\"]\n  29 -> 35 [size =\"17796096\"]\n  30 [size=\"67512320\", alpha=\"0.19\", expect_size=\"20253696\"] \n  30 -> 33 [size =\"20253696\"]\n  30 -> 34 [size =\"20253696\"]\n  30 -> 35 [size =\"20253696\"]\n  31 [size=\"77168640\", alpha=\"0.08\", expect_size=\"23150592\"] \n  31 -> 32 [size =\"23150592\"]\n  31 -> 33 [size =\"23150592\"]\n  32 [size=\"58105173\", alpha=\"0.02\", expect_size=\"17431552\"] \n  33 [size=\"96624640\", alpha=\"0.17\", expect_size=\"28987392\"] \n  34 [size=\"132007253\", alpha=\"0.10\", expect_size=\"39602176\"] \n  35 [size=\"59095040\", alpha=\"0.03\", expect_size=\"17728512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34859520\", alpha=\"0.20\", expect_size=\"13943808\"] \n  1 -> 4 [size =\"13943808\"]\n  2 [size=\"71582720\", alpha=\"0.10\", expect_size=\"28633088\"] \n  2 -> 3 [size =\"28633088\"]\n  3 [size=\"50014720\", alpha=\"0.06\", expect_size=\"20005888\"] \n  4 [size=\"36536320\", alpha=\"0.10\", expect_size=\"14614528\"] \n  4 -> 5 [size =\"14614528\"]\n  5 [size=\"62835200\", alpha=\"0.02\", expect_size=\"25134080\"] \n  5 -> 6 [size =\"25134080\"]\n  6 [size=\"45317120\", alpha=\"0.16\", expect_size=\"18126848\"] \n  6 -> 7 [size =\"18126848\"]\n  7 [size=\"29596160\", alpha=\"0.02\", expect_size=\"11838464\"] \n  7 -> 8 [size =\"11838464\"]\n  8 [size=\"93245440\", alpha=\"0.07\", expect_size=\"37298176\"] \n  8 -> 9 [size =\"37298176\"]\n  8 -> 10 [size =\"37298176\"]\n  9 [size=\"105395200\", alpha=\"0.05\", expect_size=\"42158080\"] \n  9 -> 12 [size =\"42158080\"]\n  10 [size=\"102394880\", alpha=\"0.19\", expect_size=\"40957952\"] \n  10 -> 11 [size =\"40957952\"]\n  10 -> 12 [size =\"40957952\"]\n  11 [size=\"110187520\", alpha=\"0.11\", expect_size=\"44075008\"] \n  12 [size=\"108538880\", alpha=\"0.01\", expect_size=\"43415552\"] \n  12 -> 13 [size =\"43415552\"]\n  13 [size=\"47997440\", alpha=\"0.13\", expect_size=\"19198976\"] \n  13 -> 14 [size =\"19198976\"]\n  13 -> 15 [size =\"19198976\"]\n  14 [size=\"85250560\", alpha=\"0.13\", expect_size=\"34100224\"] \n  14 -> 16 [size =\"34100224\"]\n  15 [size=\"28743680\", alpha=\"0.20\", expect_size=\"11497472\"] \n  15 -> 16 [size =\"11497472\"]\n  15 -> 17 [size =\"11497472\"]\n  16 [size=\"39744000\", alpha=\"0.14\", expect_size=\"15897600\"] \n  16 -> 19 [size =\"15897600\"]\n  17 [size=\"15769600\", alpha=\"0.06\", expect_size=\"6307840\"] \n  17 -> 18 [size =\"6307840\"]\n  18 [size=\"26905600\", alpha=\"0.20\", expect_size=\"10762240\"] \n  18 -> 20 [size =\"10762240\"]\n  19 [size=\"66762240\", alpha=\"0.11\", expect_size=\"26704896\"] \n  20 [size=\"95895040\", alpha=\"0.12\", expect_size=\"38358016\"] \n  20 -> 21 [size =\"38358016\"]\n  20 -> 22 [size =\"38358016\"]\n  21 [size=\"87946240\", alpha=\"0.17\", expect_size=\"35178496\"] \n  21 -> 23 [size =\"35178496\"]\n  22 [size=\"36075520\", alpha=\"0.12\", expect_size=\"14430208\"] \n  22 -> 23 [size =\"14430208\"]\n  23 [size=\"40284160\", alpha=\"0.13\", expect_size=\"16113664\"] \n  23 -> 24 [size =\"16113664\"]\n  24 [size=\"114854400\", alpha=\"0.18\", expect_size=\"45941760\"] \n  24 -> 25 [size =\"45941760\"]\n  25 [size=\"76408320\", alpha=\"0.11\", expect_size=\"30563328\"] \n  25 -> 26 [size =\"30563328\"]\n  25 -> 27 [size =\"30563328\"]\n  26 [size=\"73466880\", alpha=\"0.10\", expect_size=\"29386752\"] \n  26 -> 28 [size =\"29386752\"]\n  26 -> 29 [size =\"29386752\"]\n  27 [size=\"37870080\", alpha=\"0.12\", expect_size=\"15148032\"] \n  27 -> 29 [size =\"15148032\"]\n  28 [size=\"72998400\", alpha=\"0.07\", expect_size=\"29199360\"] \n  28 -> 31 [size =\"29199360\"]\n  29 [size=\"72898560\", alpha=\"0.18\", expect_size=\"29159424\"] \n  29 -> 30 [size =\"29159424\"]\n  30 [size=\"21726720\", alpha=\"0.04\", expect_size=\"8690688\"] \n  31 [size=\"95165440\", alpha=\"0.06\", expect_size=\"38066176\"] \n  31 -> 32 [size =\"38066176\"]\n  32 [size=\"79042560\", alpha=\"0.05\", expect_size=\"31617024\"] \n  32 -> 33 [size =\"31617024\"]\n  32 -> 34 [size =\"31617024\"]\n  33 [size=\"31831040\", alpha=\"0.10\", expect_size=\"12732416\"] \n  33 -> 35 [size =\"12732416\"]\n  34 [size=\"108408320\", alpha=\"0.06\", expect_size=\"43363328\"] \n  34 -> 35 [size =\"43363328\"]\n  35 [size=\"96271360\", alpha=\"0.06\", expect_size=\"38508544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60512256\", alpha=\"0.18\", expect_size=\"30256128\"] \n  1 -> 6 [size =\"30256128\"]\n  1 -> 9 [size =\"30256128\"]\n  2 [size=\"29020160\", alpha=\"0.03\", expect_size=\"14510080\"] \n  2 -> 6 [size =\"14510080\"]\n  2 -> 8 [size =\"14510080\"]\n  2 -> 9 [size =\"14510080\"]\n  3 [size=\"18077696\", alpha=\"0.19\", expect_size=\"9038848\"] \n  3 -> 8 [size =\"9038848\"]\n  3 -> 9 [size =\"9038848\"]\n  4 [size=\"94334976\", alpha=\"0.16\", expect_size=\"47167488\"] \n  4 -> 6 [size =\"47167488\"]\n  4 -> 7 [size =\"47167488\"]\n  4 -> 8 [size =\"47167488\"]\n  5 [size=\"69646336\", alpha=\"0.19\", expect_size=\"34823168\"] \n  5 -> 6 [size =\"34823168\"]\n  5 -> 8 [size =\"34823168\"]\n  6 [size=\"49907712\", alpha=\"0.09\", expect_size=\"24953856\"] \n  6 -> 10 [size =\"24953856\"]\n  6 -> 12 [size =\"24953856\"]\n  6 -> 13 [size =\"24953856\"]\n  7 [size=\"95801344\", alpha=\"0.03\", expect_size=\"47900672\"] \n  7 -> 10 [size =\"47900672\"]\n  7 -> 12 [size =\"47900672\"]\n  7 -> 13 [size =\"47900672\"]\n  8 [size=\"97921024\", alpha=\"0.14\", expect_size=\"48960512\"] \n  8 -> 10 [size =\"48960512\"]\n  8 -> 11 [size =\"48960512\"]\n  8 -> 12 [size =\"48960512\"]\n  8 -> 13 [size =\"48960512\"]\n  9 [size=\"23207936\", alpha=\"0.11\", expect_size=\"11603968\"] \n  9 -> 10 [size =\"11603968\"]\n  9 -> 12 [size =\"11603968\"]\n  9 -> 13 [size =\"11603968\"]\n  10 [size=\"31375360\", alpha=\"0.06\", expect_size=\"15687680\"] \n  10 -> 14 [size =\"15687680\"]\n  10 -> 15 [size =\"15687680\"]\n  10 -> 16 [size =\"15687680\"]\n  10 -> 17 [size =\"15687680\"]\n  11 [size=\"25339904\", alpha=\"0.14\", expect_size=\"12669952\"] \n  11 -> 14 [size =\"12669952\"]\n  11 -> 17 [size =\"12669952\"]\n  12 [size=\"13912064\", alpha=\"0.16\", expect_size=\"6956032\"] \n  12 -> 14 [size =\"6956032\"]\n  12 -> 17 [size =\"6956032\"]\n  12 -> 18 [size =\"6956032\"]\n  13 [size=\"26642432\", alpha=\"0.09\", expect_size=\"13321216\"] \n  13 -> 14 [size =\"13321216\"]\n  13 -> 17 [size =\"13321216\"]\n  14 [size=\"22509568\", alpha=\"0.05\", expect_size=\"11254784\"] \n  14 -> 19 [size =\"11254784\"]\n  14 -> 20 [size =\"11254784\"]\n  14 -> 21 [size =\"11254784\"]\n  14 -> 22 [size =\"11254784\"]\n  15 [size=\"96706560\", alpha=\"0.10\", expect_size=\"48353280\"] \n  15 -> 19 [size =\"48353280\"]\n  16 [size=\"92674048\", alpha=\"0.12\", expect_size=\"46337024\"] \n  16 -> 19 [size =\"46337024\"]\n  16 -> 20 [size =\"46337024\"]\n  17 [size=\"38635520\", alpha=\"0.09\", expect_size=\"19317760\"] \n  18 [size=\"52916224\", alpha=\"0.05\", expect_size=\"26458112\"] \n  19 [size=\"23969792\", alpha=\"0.02\", expect_size=\"11984896\"] \n  19 -> 23 [size =\"11984896\"]\n  19 -> 26 [size =\"11984896\"]\n  20 [size=\"74387456\", alpha=\"0.04\", expect_size=\"37193728\"] \n  20 -> 25 [size =\"37193728\"]\n  20 -> 26 [size =\"37193728\"]\n  21 [size=\"10545152\", alpha=\"0.15\", expect_size=\"5272576\"] \n  21 -> 23 [size =\"5272576\"]\n  21 -> 24 [size =\"5272576\"]\n  21 -> 25 [size =\"5272576\"]\n  21 -> 26 [size =\"5272576\"]\n  22 [size=\"75712512\", alpha=\"0.11\", expect_size=\"37856256\"] \n  22 -> 24 [size =\"37856256\"]\n  22 -> 25 [size =\"37856256\"]\n  22 -> 25 [size =\"37856256\"]\n  22 -> 26 [size =\"37856256\"]\n  23 [size=\"55351296\", alpha=\"0.09\", expect_size=\"27675648\"] \n  23 -> 27 [size =\"27675648\"]\n  23 -> 28 [size =\"27675648\"]\n  23 -> 29 [size =\"27675648\"]\n  24 [size=\"96825344\", alpha=\"0.04\", expect_size=\"48412672\"] \n  24 -> 29 [size =\"48412672\"]\n  24 -> 30 [size =\"48412672\"]\n  25 [size=\"23838720\", alpha=\"0.11\", expect_size=\"11919360\"] \n  25 -> 27 [size =\"11919360\"]\n  25 -> 29 [size =\"11919360\"]\n  25 -> 31 [size =\"11919360\"]\n  26 [size=\"72087552\", alpha=\"0.07\", expect_size=\"36043776\"] \n  26 -> 27 [size =\"36043776\"]\n  26 -> 31 [size =\"36043776\"]\n  27 [size=\"33150976\", alpha=\"0.02\", expect_size=\"16575488\"] \n  27 -> 32 [size =\"16575488\"]\n  27 -> 33 [size =\"16575488\"]\n  27 -> 34 [size =\"16575488\"]\n  28 [size=\"74829824\", alpha=\"0.14\", expect_size=\"37414912\"] \n  28 -> 33 [size =\"37414912\"]\n  28 -> 34 [size =\"37414912\"]\n  29 [size=\"99010560\", alpha=\"0.10\", expect_size=\"49505280\"] \n  29 -> 33 [size =\"49505280\"]\n  29 -> 34 [size =\"49505280\"]\n  29 -> 35 [size =\"49505280\"]\n  30 [size=\"15919104\", alpha=\"0.09\", expect_size=\"7959552\"] \n  30 -> 32 [size =\"7959552\"]\n  30 -> 33 [size =\"7959552\"]\n  31 [size=\"32995328\", alpha=\"0.12\", expect_size=\"16497664\"] \n  31 -> 32 [size =\"16497664\"]\n  31 -> 34 [size =\"16497664\"]\n  32 [size=\"11524096\", alpha=\"0.16\", expect_size=\"5762048\"] \n  33 [size=\"64413696\", alpha=\"0.03\", expect_size=\"32206848\"] \n  34 [size=\"10514432\", alpha=\"0.13\", expect_size=\"5257216\"] \n  35 [size=\"28047360\", alpha=\"0.00\", expect_size=\"14023680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88197120\", alpha=\"0.18\", expect_size=\"35278848\"] \n  1 -> 5 [size =\"35278848\"]\n  1 -> 6 [size =\"35278848\"]\n  1 -> 7 [size =\"35278848\"]\n  2 [size=\"73835520\", alpha=\"0.05\", expect_size=\"29534208\"] \n  2 -> 5 [size =\"29534208\"]\n  2 -> 7 [size =\"29534208\"]\n  2 -> 8 [size =\"29534208\"]\n  2 -> 9 [size =\"29534208\"]\n  3 [size=\"78848000\", alpha=\"0.06\", expect_size=\"31539200\"] \n  3 -> 5 [size =\"31539200\"]\n  3 -> 6 [size =\"31539200\"]\n  3 -> 7 [size =\"31539200\"]\n  4 [size=\"61416960\", alpha=\"0.12\", expect_size=\"24566784\"] \n  4 -> 5 [size =\"24566784\"]\n  4 -> 7 [size =\"24566784\"]\n  4 -> 8 [size =\"24566784\"]\n  5 [size=\"44111360\", alpha=\"0.17\", expect_size=\"17644544\"] \n  5 -> 12 [size =\"17644544\"]\n  5 -> 13 [size =\"17644544\"]\n  5 -> 14 [size =\"17644544\"]\n  6 [size=\"30771200\", alpha=\"0.08\", expect_size=\"12308480\"] \n  6 -> 11 [size =\"12308480\"]\n  6 -> 13 [size =\"12308480\"]\n  6 -> 14 [size =\"12308480\"]\n  7 [size=\"49873920\", alpha=\"0.17\", expect_size=\"19949568\"] \n  7 -> 11 [size =\"19949568\"]\n  7 -> 12 [size =\"19949568\"]\n  7 -> 14 [size =\"19949568\"]\n  8 [size=\"76858880\", alpha=\"0.02\", expect_size=\"30743552\"] \n  8 -> 12 [size =\"30743552\"]\n  8 -> 14 [size =\"30743552\"]\n  9 [size=\"21690880\", alpha=\"0.01\", expect_size=\"8676352\"] \n  9 -> 10 [size =\"8676352\"]\n  9 -> 11 [size =\"8676352\"]\n  9 -> 13 [size =\"8676352\"]\n  9 -> 14 [size =\"8676352\"]\n  10 [size=\"16053760\", alpha=\"0.12\", expect_size=\"6421504\"] \n  10 -> 15 [size =\"6421504\"]\n  10 -> 18 [size =\"6421504\"]\n  11 [size=\"18816000\", alpha=\"0.02\", expect_size=\"7526400\"] \n  11 -> 15 [size =\"7526400\"]\n  11 -> 16 [size =\"7526400\"]\n  11 -> 19 [size =\"7526400\"]\n  11 -> 20 [size =\"7526400\"]\n  12 [size=\"124375040\", alpha=\"0.00\", expect_size=\"49750016\"] \n  12 -> 19 [size =\"49750016\"]\n  13 [size=\"34135040\", alpha=\"0.01\", expect_size=\"13654016\"] \n  13 -> 15 [size =\"13654016\"]\n  13 -> 16 [size =\"13654016\"]\n  13 -> 17 [size =\"13654016\"]\n  13 -> 18 [size =\"13654016\"]\n  13 -> 19 [size =\"13654016\"]\n  14 [size=\"71362560\", alpha=\"0.15\", expect_size=\"28545024\"] \n  14 -> 15 [size =\"28545024\"]\n  14 -> 20 [size =\"28545024\"]\n  15 [size=\"24826880\", alpha=\"0.13\", expect_size=\"9930752\"] \n  15 -> 21 [size =\"9930752\"]\n  15 -> 23 [size =\"9930752\"]\n  15 -> 24 [size =\"9930752\"]\n  16 [size=\"126028800\", alpha=\"0.03\", expect_size=\"50411520\"] \n  16 -> 21 [size =\"50411520\"]\n  16 -> 23 [size =\"50411520\"]\n  16 -> 24 [size =\"50411520\"]\n  16 -> 26 [size =\"50411520\"]\n  17 [size=\"52915200\", alpha=\"0.08\", expect_size=\"21166080\"] \n  17 -> 24 [size =\"21166080\"]\n  18 [size=\"32811520\", alpha=\"0.08\", expect_size=\"13124608\"] \n  18 -> 22 [size =\"13124608\"]\n  18 -> 23 [size =\"13124608\"]\n  18 -> 24 [size =\"13124608\"]\n  18 -> 25 [size =\"13124608\"]\n  19 [size=\"43069440\", alpha=\"0.02\", expect_size=\"17227776\"] \n  19 -> 21 [size =\"17227776\"]\n  19 -> 22 [size =\"17227776\"]\n  19 -> 26 [size =\"17227776\"]\n  20 [size=\"50910720\", alpha=\"0.19\", expect_size=\"20364288\"] \n  20 -> 21 [size =\"20364288\"]\n  20 -> 24 [size =\"20364288\"]\n  21 [size=\"118814720\", alpha=\"0.08\", expect_size=\"47525888\"] \n  21 -> 27 [size =\"47525888\"]\n  21 -> 28 [size =\"47525888\"]\n  22 [size=\"13747200\", alpha=\"0.07\", expect_size=\"5498880\"] \n  22 -> 28 [size =\"5498880\"]\n  22 -> 28 [size =\"5498880\"]\n  22 -> 29 [size =\"5498880\"]\n  23 [size=\"14008320\", alpha=\"0.18\", expect_size=\"5603328\"] \n  23 -> 27 [size =\"5603328\"]\n  23 -> 28 [size =\"5603328\"]\n  23 -> 29 [size =\"5603328\"]\n  24 [size=\"22551040\", alpha=\"0.16\", expect_size=\"9020416\"] \n  24 -> 27 [size =\"9020416\"]\n  24 -> 28 [size =\"9020416\"]\n  24 -> 29 [size =\"9020416\"]\n  25 [size=\"109916160\", alpha=\"0.01\", expect_size=\"43966464\"] \n  25 -> 27 [size =\"43966464\"]\n  25 -> 29 [size =\"43966464\"]\n  25 -> 29 [size =\"43966464\"]\n  26 [size=\"65920000\", alpha=\"0.08\", expect_size=\"26368000\"] \n  26 -> 29 [size =\"26368000\"]\n  27 [size=\"84085760\", alpha=\"0.01\", expect_size=\"33634304\"] \n  27 -> 30 [size =\"33634304\"]\n  27 -> 31 [size =\"33634304\"]\n  27 -> 32 [size =\"33634304\"]\n  27 -> 33 [size =\"33634304\"]\n  27 -> 34 [size =\"33634304\"]\n  28 [size=\"129948160\", alpha=\"0.05\", expect_size=\"51979264\"] \n  28 -> 30 [size =\"51979264\"]\n  28 -> 31 [size =\"51979264\"]\n  28 -> 32 [size =\"51979264\"]\n  28 -> 33 [size =\"51979264\"]\n  29 [size=\"61816320\", alpha=\"0.10\", expect_size=\"24726528\"] \n  29 -> 30 [size =\"24726528\"]\n  29 -> 31 [size =\"24726528\"]\n  29 -> 32 [size =\"24726528\"]\n  29 -> 33 [size =\"24726528\"]\n  30 [size=\"74424320\", alpha=\"0.16\", expect_size=\"29769728\"] \n  30 -> 35 [size =\"29769728\"]\n  31 [size=\"65850880\", alpha=\"0.03\", expect_size=\"26340352\"] \n  31 -> 35 [size =\"26340352\"]\n  32 [size=\"111183360\", alpha=\"0.09\", expect_size=\"44473344\"] \n  32 -> 35 [size =\"44473344\"]\n  33 [size=\"35228160\", alpha=\"0.19\", expect_size=\"14091264\"] \n  34 [size=\"21685760\", alpha=\"0.18\", expect_size=\"8674304\"] \n  35 [size=\"118873600\", alpha=\"0.19\", expect_size=\"47549440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57513984\", alpha=\"0.05\", expect_size=\"28756992\"] \n  1 -> 2 [size =\"28756992\"]\n  1 -> 3 [size =\"28756992\"]\n  2 [size=\"70912000\", alpha=\"0.14\", expect_size=\"35456000\"] \n  2 -> 4 [size =\"35456000\"]\n  3 [size=\"84379648\", alpha=\"0.11\", expect_size=\"42189824\"] \n  3 -> 5 [size =\"42189824\"]\n  4 [size=\"61669376\", alpha=\"0.17\", expect_size=\"30834688\"] \n  5 [size=\"69365760\", alpha=\"0.20\", expect_size=\"34682880\"] \n  5 -> 6 [size =\"34682880\"]\n  6 [size=\"93165568\", alpha=\"0.18\", expect_size=\"46582784\"] \n  6 -> 7 [size =\"46582784\"]\n  7 [size=\"78460928\", alpha=\"0.15\", expect_size=\"39230464\"] \n  7 -> 8 [size =\"39230464\"]\n  8 [size=\"35727360\", alpha=\"0.19\", expect_size=\"17863680\"] \n  8 -> 9 [size =\"17863680\"]\n  9 [size=\"30636032\", alpha=\"0.18\", expect_size=\"15318016\"] \n  9 -> 10 [size =\"15318016\"]\n  10 [size=\"69998592\", alpha=\"0.13\", expect_size=\"34999296\"] \n  10 -> 11 [size =\"34999296\"]\n  11 [size=\"60876800\", alpha=\"0.10\", expect_size=\"30438400\"] \n  11 -> 12 [size =\"30438400\"]\n  12 [size=\"83980288\", alpha=\"0.01\", expect_size=\"41990144\"] \n  12 -> 13 [size =\"41990144\"]\n  12 -> 14 [size =\"41990144\"]\n  13 [size=\"54188032\", alpha=\"0.01\", expect_size=\"27094016\"] \n  13 -> 15 [size =\"27094016\"]\n  14 [size=\"11337728\", alpha=\"0.03\", expect_size=\"5668864\"] \n  14 -> 16 [size =\"5668864\"]\n  15 [size=\"93435904\", alpha=\"0.11\", expect_size=\"46717952\"] \n  15 -> 17 [size =\"46717952\"]\n  16 [size=\"92289024\", alpha=\"0.02\", expect_size=\"46144512\"] \n  17 [size=\"83505152\", alpha=\"0.18\", expect_size=\"41752576\"] \n  17 -> 18 [size =\"41752576\"]\n  17 -> 19 [size =\"41752576\"]\n  18 [size=\"60088320\", alpha=\"0.03\", expect_size=\"30044160\"] \n  19 [size=\"54259712\", alpha=\"0.10\", expect_size=\"27129856\"] \n  19 -> 20 [size =\"27129856\"]\n  19 -> 21 [size =\"27129856\"]\n  20 [size=\"42608640\", alpha=\"0.07\", expect_size=\"21304320\"] \n  21 [size=\"104038400\", alpha=\"0.13\", expect_size=\"52019200\"] \n  21 -> 22 [size =\"52019200\"]\n  22 [size=\"57108480\", alpha=\"0.13\", expect_size=\"28554240\"] \n  22 -> 23 [size =\"28554240\"]\n  23 [size=\"60209152\", alpha=\"0.08\", expect_size=\"30104576\"] \n  23 -> 24 [size =\"30104576\"]\n  23 -> 25 [size =\"30104576\"]\n  24 [size=\"63987712\", alpha=\"0.14\", expect_size=\"31993856\"] \n  25 [size=\"80070656\", alpha=\"0.13\", expect_size=\"40035328\"] \n  25 -> 26 [size =\"40035328\"]\n  26 [size=\"36294656\", alpha=\"0.09\", expect_size=\"18147328\"] \n  26 -> 27 [size =\"18147328\"]\n  26 -> 28 [size =\"18147328\"]\n  27 [size=\"46661632\", alpha=\"0.19\", expect_size=\"23330816\"] \n  27 -> 29 [size =\"23330816\"]\n  28 [size=\"35801088\", alpha=\"0.15\", expect_size=\"17900544\"] \n  29 [size=\"50573312\", alpha=\"0.15\", expect_size=\"25286656\"] \n  29 -> 30 [size =\"25286656\"]\n  29 -> 31 [size =\"25286656\"]\n  30 [size=\"96929792\", alpha=\"0.08\", expect_size=\"48464896\"] \n  30 -> 32 [size =\"48464896\"]\n  31 [size=\"33789952\", alpha=\"0.11\", expect_size=\"16894976\"] \n  31 -> 33 [size =\"16894976\"]\n  32 [size=\"96927744\", alpha=\"0.10\", expect_size=\"48463872\"] \n  32 -> 34 [size =\"48463872\"]\n  32 -> 35 [size =\"48463872\"]\n  33 [size=\"63655936\", alpha=\"0.19\", expect_size=\"31827968\"] \n  34 [size=\"102238208\", alpha=\"0.07\", expect_size=\"51119104\"] \n  35 [size=\"75120640\", alpha=\"0.13\", expect_size=\"37560320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58702507\", alpha=\"0.10\", expect_size=\"17610752\"] \n  1 -> 14 [size =\"17610752\"]\n  1 -> 15 [size =\"17610752\"]\n  1 -> 17 [size =\"17610752\"]\n  1 -> 18 [size =\"17610752\"]\n  1 -> 21 [size =\"17610752\"]\n  2 [size=\"167789227\", alpha=\"0.07\", expect_size=\"50336768\"] \n  2 -> 18 [size =\"50336768\"]\n  2 -> 22 [size =\"50336768\"]\n  3 [size=\"76482560\", alpha=\"0.03\", expect_size=\"22944768\"] \n  3 -> 14 [size =\"22944768\"]\n  3 -> 15 [size =\"22944768\"]\n  3 -> 16 [size =\"22944768\"]\n  3 -> 22 [size =\"22944768\"]\n  4 [size=\"17674240\", alpha=\"0.01\", expect_size=\"5302272\"] \n  4 -> 14 [size =\"5302272\"]\n  4 -> 18 [size =\"5302272\"]\n  4 -> 20 [size =\"5302272\"]\n  4 -> 22 [size =\"5302272\"]\n  5 [size=\"160972800\", alpha=\"0.19\", expect_size=\"48291840\"] \n  5 -> 14 [size =\"48291840\"]\n  5 -> 15 [size =\"48291840\"]\n  5 -> 16 [size =\"48291840\"]\n  5 -> 17 [size =\"48291840\"]\n  5 -> 18 [size =\"48291840\"]\n  5 -> 20 [size =\"48291840\"]\n  5 -> 21 [size =\"48291840\"]\n  5 -> 22 [size =\"48291840\"]\n  6 [size=\"87521280\", alpha=\"0.11\", expect_size=\"26256384\"] \n  6 -> 14 [size =\"26256384\"]\n  6 -> 20 [size =\"26256384\"]\n  6 -> 21 [size =\"26256384\"]\n  6 -> 22 [size =\"26256384\"]\n  7 [size=\"113158827\", alpha=\"0.13\", expect_size=\"33947648\"] \n  7 -> 14 [size =\"33947648\"]\n  7 -> 15 [size =\"33947648\"]\n  7 -> 21 [size =\"33947648\"]\n  7 -> 22 [size =\"33947648\"]\n  8 [size=\"167089493\", alpha=\"0.03\", expect_size=\"50126848\"] \n  8 -> 14 [size =\"50126848\"]\n  8 -> 15 [size =\"50126848\"]\n  8 -> 17 [size =\"50126848\"]\n  8 -> 18 [size =\"50126848\"]\n  8 -> 19 [size =\"50126848\"]\n  8 -> 20 [size =\"50126848\"]\n  8 -> 22 [size =\"50126848\"]\n  9 [size=\"21186560\", alpha=\"0.16\", expect_size=\"6355968\"] \n  9 -> 14 [size =\"6355968\"]\n  9 -> 15 [size =\"6355968\"]\n  9 -> 17 [size =\"6355968\"]\n  9 -> 18 [size =\"6355968\"]\n  9 -> 21 [size =\"6355968\"]\n  10 [size=\"97006933\", alpha=\"0.20\", expect_size=\"29102080\"] \n  10 -> 17 [size =\"29102080\"]\n  10 -> 18 [size =\"29102080\"]\n  10 -> 21 [size =\"29102080\"]\n  11 [size=\"75397120\", alpha=\"0.14\", expect_size=\"22619136\"] \n  11 -> 15 [size =\"22619136\"]\n  11 -> 17 [size =\"22619136\"]\n  12 [size=\"157313707\", alpha=\"0.08\", expect_size=\"47194112\"] \n  12 -> 15 [size =\"47194112\"]\n  12 -> 16 [size =\"47194112\"]\n  12 -> 18 [size =\"47194112\"]\n  12 -> 21 [size =\"47194112\"]\n  12 -> 22 [size =\"47194112\"]\n  13 [size=\"56719360\", alpha=\"0.17\", expect_size=\"17015808\"] \n  13 -> 15 [size =\"17015808\"]\n  13 -> 18 [size =\"17015808\"]\n  13 -> 21 [size =\"17015808\"]\n  13 -> 22 [size =\"17015808\"]\n  14 [size=\"82647040\", alpha=\"0.15\", expect_size=\"24794112\"] \n  14 -> 23 [size =\"24794112\"]\n  14 -> 25 [size =\"24794112\"]\n  14 -> 27 [size =\"24794112\"]\n  14 -> 30 [size =\"24794112\"]\n  14 -> 34 [size =\"24794112\"]\n  15 [size=\"86862507\", alpha=\"0.06\", expect_size=\"26058752\"] \n  15 -> 23 [size =\"26058752\"]\n  15 -> 27 [size =\"26058752\"]\n  15 -> 28 [size =\"26058752\"]\n  15 -> 29 [size =\"26058752\"]\n  15 -> 30 [size =\"26058752\"]\n  16 [size=\"82227200\", alpha=\"0.02\", expect_size=\"24668160\"] \n  16 -> 23 [size =\"24668160\"]\n  16 -> 24 [size =\"24668160\"]\n  16 -> 27 [size =\"24668160\"]\n  16 -> 28 [size =\"24668160\"]\n  16 -> 31 [size =\"24668160\"]\n  17 [size=\"169867947\", alpha=\"0.05\", expect_size=\"50960384\"] \n  17 -> 24 [size =\"50960384\"]\n  17 -> 27 [size =\"50960384\"]\n  17 -> 29 [size =\"50960384\"]\n  17 -> 31 [size =\"50960384\"]\n  17 -> 34 [size =\"50960384\"]\n  18 [size=\"113309013\", alpha=\"0.01\", expect_size=\"33992704\"] \n  18 -> 24 [size =\"33992704\"]\n  18 -> 27 [size =\"33992704\"]\n  18 -> 28 [size =\"33992704\"]\n  18 -> 31 [size =\"33992704\"]\n  18 -> 34 [size =\"33992704\"]\n  18 -> 35 [size =\"33992704\"]\n  19 [size=\"138243413\", alpha=\"0.16\", expect_size=\"41473024\"] \n  19 -> 23 [size =\"41473024\"]\n  19 -> 25 [size =\"41473024\"]\n  19 -> 30 [size =\"41473024\"]\n  19 -> 31 [size =\"41473024\"]\n  19 -> 34 [size =\"41473024\"]\n  20 [size=\"107646293\", alpha=\"0.04\", expect_size=\"32293888\"] \n  20 -> 25 [size =\"32293888\"]\n  20 -> 25 [size =\"32293888\"]\n  20 -> 26 [size =\"32293888\"]\n  20 -> 31 [size =\"32293888\"]\n  20 -> 32 [size =\"32293888\"]\n  20 -> 34 [size =\"32293888\"]\n  21 [size=\"106458453\", alpha=\"0.17\", expect_size=\"31937536\"] \n  21 -> 25 [size =\"31937536\"]\n  21 -> 27 [size =\"31937536\"]\n  21 -> 33 [size =\"31937536\"]\n  22 [size=\"56695467\", alpha=\"0.09\", expect_size=\"17008640\"] \n  22 -> 23 [size =\"17008640\"]\n  22 -> 24 [size =\"17008640\"]\n  22 -> 25 [size =\"17008640\"]\n  22 -> 33 [size =\"17008640\"]\n  22 -> 34 [size =\"17008640\"]\n  22 -> 35 [size =\"17008640\"]\n  23 [size=\"118128640\", alpha=\"0.09\", expect_size=\"35438592\"] \n  24 [size=\"90989227\", alpha=\"0.09\", expect_size=\"27296768\"] \n  25 [size=\"55534933\", alpha=\"0.08\", expect_size=\"16660480\"] \n  26 [size=\"106280960\", alpha=\"0.15\", expect_size=\"31884288\"] \n  27 [size=\"119299413\", alpha=\"0.14\", expect_size=\"35789824\"] \n  28 [size=\"160279893\", alpha=\"0.12\", expect_size=\"48083968\"] \n  29 [size=\"171001173\", alpha=\"0.11\", expect_size=\"51300352\"] \n  30 [size=\"136372907\", alpha=\"0.00\", expect_size=\"40911872\"] \n  31 [size=\"165362347\", alpha=\"0.16\", expect_size=\"49608704\"] \n  32 [size=\"141909333\", alpha=\"0.10\", expect_size=\"42572800\"] \n  33 [size=\"59043840\", alpha=\"0.09\", expect_size=\"17713152\"] \n  34 [size=\"133058560\", alpha=\"0.17\", expect_size=\"39917568\"] \n  35 [size=\"49582080\", alpha=\"0.13\", expect_size=\"14874624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158197760\", alpha=\"0.12\", expect_size=\"47459328\"] \n  1 -> 3 [size =\"47459328\"]\n  2 [size=\"147022507\", alpha=\"0.04\", expect_size=\"44106752\"] \n  3 [size=\"168229547\", alpha=\"0.10\", expect_size=\"50468864\"] \n  3 -> 4 [size =\"50468864\"]\n  3 -> 5 [size =\"50468864\"]\n  4 [size=\"118562133\", alpha=\"0.08\", expect_size=\"35568640\"] \n  4 -> 7 [size =\"35568640\"]\n  5 [size=\"49404587\", alpha=\"0.14\", expect_size=\"14821376\"] \n  5 -> 6 [size =\"14821376\"]\n  6 [size=\"27013120\", alpha=\"0.08\", expect_size=\"8103936\"] \n  6 -> 8 [size =\"8103936\"]\n  7 [size=\"91364693\", alpha=\"0.04\", expect_size=\"27409408\"] \n  8 [size=\"132730880\", alpha=\"0.04\", expect_size=\"39819264\"] \n  8 -> 9 [size =\"39819264\"]\n  9 [size=\"145872213\", alpha=\"0.01\", expect_size=\"43761664\"] \n  9 -> 10 [size =\"43761664\"]\n  9 -> 11 [size =\"43761664\"]\n  10 [size=\"166007467\", alpha=\"0.14\", expect_size=\"49802240\"] \n  10 -> 12 [size =\"49802240\"]\n  11 [size=\"154398720\", alpha=\"0.01\", expect_size=\"46319616\"] \n  12 [size=\"87978667\", alpha=\"0.12\", expect_size=\"26393600\"] \n  12 -> 13 [size =\"26393600\"]\n  12 -> 14 [size =\"26393600\"]\n  13 [size=\"122470400\", alpha=\"0.16\", expect_size=\"36741120\"] \n  14 [size=\"46520320\", alpha=\"0.01\", expect_size=\"13956096\"] \n  14 -> 15 [size =\"13956096\"]\n  15 [size=\"107936427\", alpha=\"0.15\", expect_size=\"32380928\"] \n  15 -> 16 [size =\"32380928\"]\n  16 [size=\"63232000\", alpha=\"0.17\", expect_size=\"18969600\"] \n  16 -> 17 [size =\"18969600\"]\n  16 -> 18 [size =\"18969600\"]\n  17 [size=\"128075093\", alpha=\"0.19\", expect_size=\"38422528\"] \n  18 [size=\"162044587\", alpha=\"0.13\", expect_size=\"48613376\"] \n  18 -> 19 [size =\"48613376\"]\n  19 [size=\"37891413\", alpha=\"0.17\", expect_size=\"11367424\"] \n  19 -> 20 [size =\"11367424\"]\n  19 -> 21 [size =\"11367424\"]\n  20 [size=\"43803307\", alpha=\"0.19\", expect_size=\"13140992\"] \n  20 -> 22 [size =\"13140992\"]\n  20 -> 23 [size =\"13140992\"]\n  21 [size=\"154958507\", alpha=\"0.20\", expect_size=\"46487552\"] \n  22 [size=\"166004053\", alpha=\"0.17\", expect_size=\"49801216\"] \n  22 -> 24 [size =\"49801216\"]\n  23 [size=\"101604693\", alpha=\"0.13\", expect_size=\"30481408\"] \n  24 [size=\"66365440\", alpha=\"0.02\", expect_size=\"19909632\"] \n  24 -> 25 [size =\"19909632\"]\n  24 -> 26 [size =\"19909632\"]\n  25 [size=\"74315093\", alpha=\"0.15\", expect_size=\"22294528\"] \n  25 -> 28 [size =\"22294528\"]\n  26 [size=\"37393067\", alpha=\"0.09\", expect_size=\"11217920\"] \n  26 -> 27 [size =\"11217920\"]\n  27 [size=\"170311680\", alpha=\"0.12\", expect_size=\"51093504\"] \n  27 -> 29 [size =\"51093504\"]\n  28 [size=\"163164160\", alpha=\"0.10\", expect_size=\"48949248\"] \n  29 [size=\"104929280\", alpha=\"0.05\", expect_size=\"31478784\"] \n  29 -> 30 [size =\"31478784\"]\n  29 -> 31 [size =\"31478784\"]\n  30 [size=\"80667307\", alpha=\"0.18\", expect_size=\"24200192\"] \n  31 [size=\"76018347\", alpha=\"0.09\", expect_size=\"22805504\"] \n  31 -> 32 [size =\"22805504\"]\n  31 -> 33 [size =\"22805504\"]\n  32 [size=\"74424320\", alpha=\"0.09\", expect_size=\"22327296\"] \n  33 [size=\"48138240\", alpha=\"0.02\", expect_size=\"14441472\"] \n  33 -> 34 [size =\"14441472\"]\n  33 -> 35 [size =\"14441472\"]\n  34 [size=\"147923627\", alpha=\"0.19\", expect_size=\"44377088\"] \n  35 [size=\"160293547\", alpha=\"0.07\", expect_size=\"48088064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16847360\", alpha=\"0.08\", expect_size=\"6738944\"] \n  1 -> 2 [size =\"6738944\"]\n  2 [size=\"52352000\", alpha=\"0.19\", expect_size=\"20940800\"] \n  2 -> 3 [size =\"20940800\"]\n  3 [size=\"47672320\", alpha=\"0.05\", expect_size=\"19068928\"] \n  3 -> 4 [size =\"19068928\"]\n  4 [size=\"54264320\", alpha=\"0.02\", expect_size=\"21705728\"] \n  4 -> 5 [size =\"21705728\"]\n  5 [size=\"103488000\", alpha=\"0.19\", expect_size=\"41395200\"] \n  5 -> 6 [size =\"41395200\"]\n  6 [size=\"55214080\", alpha=\"0.03\", expect_size=\"22085632\"] \n  6 -> 7 [size =\"22085632\"]\n  7 [size=\"124997120\", alpha=\"0.02\", expect_size=\"49998848\"] \n  7 -> 8 [size =\"49998848\"]\n  8 [size=\"98557440\", alpha=\"0.11\", expect_size=\"39422976\"] \n  8 -> 9 [size =\"39422976\"]\n  9 [size=\"87720960\", alpha=\"0.16\", expect_size=\"35088384\"] \n  9 -> 10 [size =\"35088384\"]\n  10 [size=\"66470400\", alpha=\"0.10\", expect_size=\"26588160\"] \n  10 -> 11 [size =\"26588160\"]\n  11 [size=\"34017280\", alpha=\"0.04\", expect_size=\"13606912\"] \n  11 -> 12 [size =\"13606912\"]\n  12 [size=\"81912320\", alpha=\"0.18\", expect_size=\"32764928\"] \n  12 -> 13 [size =\"32764928\"]\n  13 [size=\"76579840\", alpha=\"0.01\", expect_size=\"30631936\"] \n  13 -> 14 [size =\"30631936\"]\n  14 [size=\"107732480\", alpha=\"0.15\", expect_size=\"43092992\"] \n  14 -> 15 [size =\"43092992\"]\n  15 [size=\"119815680\", alpha=\"0.09\", expect_size=\"47926272\"] \n  15 -> 16 [size =\"47926272\"]\n  16 [size=\"113064960\", alpha=\"0.07\", expect_size=\"45225984\"] \n  16 -> 17 [size =\"45225984\"]\n  17 [size=\"15188480\", alpha=\"0.04\", expect_size=\"6075392\"] \n  17 -> 18 [size =\"6075392\"]\n  18 [size=\"26278400\", alpha=\"0.02\", expect_size=\"10511360\"] \n  18 -> 19 [size =\"10511360\"]\n  19 [size=\"88225280\", alpha=\"0.19\", expect_size=\"35290112\"] \n  19 -> 20 [size =\"35290112\"]\n  20 [size=\"62640640\", alpha=\"0.16\", expect_size=\"25056256\"] \n  20 -> 21 [size =\"25056256\"]\n  21 [size=\"123217920\", alpha=\"0.13\", expect_size=\"49287168\"] \n  21 -> 22 [size =\"49287168\"]\n  22 [size=\"30233600\", alpha=\"0.17\", expect_size=\"12093440\"] \n  22 -> 23 [size =\"12093440\"]\n  23 [size=\"17006080\", alpha=\"0.06\", expect_size=\"6802432\"] \n  23 -> 24 [size =\"6802432\"]\n  24 [size=\"24115200\", alpha=\"0.03\", expect_size=\"9646080\"] \n  24 -> 25 [size =\"9646080\"]\n  25 [size=\"112793600\", alpha=\"0.15\", expect_size=\"45117440\"] \n  25 -> 26 [size =\"45117440\"]\n  26 [size=\"48250880\", alpha=\"0.14\", expect_size=\"19300352\"] \n  26 -> 27 [size =\"19300352\"]\n  27 [size=\"91717120\", alpha=\"0.13\", expect_size=\"36686848\"] \n  27 -> 28 [size =\"36686848\"]\n  28 [size=\"113105920\", alpha=\"0.05\", expect_size=\"45242368\"] \n  28 -> 29 [size =\"45242368\"]\n  29 [size=\"123619840\", alpha=\"0.10\", expect_size=\"49447936\"] \n  29 -> 30 [size =\"49447936\"]\n  30 [size=\"117696000\", alpha=\"0.05\", expect_size=\"47078400\"] \n  30 -> 31 [size =\"47078400\"]\n  31 [size=\"91678720\", alpha=\"0.03\", expect_size=\"36671488\"] \n  31 -> 32 [size =\"36671488\"]\n  32 [size=\"49308160\", alpha=\"0.12\", expect_size=\"19723264\"] \n  32 -> 33 [size =\"19723264\"]\n  33 [size=\"29829120\", alpha=\"0.13\", expect_size=\"11931648\"] \n  33 -> 34 [size =\"11931648\"]\n  34 [size=\"67809280\", alpha=\"0.09\", expect_size=\"27123712\"] \n  34 -> 35 [size =\"27123712\"]\n  35 [size=\"86443520\", alpha=\"0.03\", expect_size=\"34577408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44093440\", alpha=\"0.03\", expect_size=\"22046720\"] \n  1 -> 2 [size =\"22046720\"]\n  2 [size=\"81041408\", alpha=\"0.18\", expect_size=\"40520704\"] \n  2 -> 3 [size =\"40520704\"]\n  3 [size=\"79140864\", alpha=\"0.10\", expect_size=\"39570432\"] \n  3 -> 4 [size =\"39570432\"]\n  4 [size=\"47069184\", alpha=\"0.15\", expect_size=\"23534592\"] \n  4 -> 5 [size =\"23534592\"]\n  5 [size=\"73621504\", alpha=\"0.20\", expect_size=\"36810752\"] \n  5 -> 6 [size =\"36810752\"]\n  6 [size=\"18466816\", alpha=\"0.17\", expect_size=\"9233408\"] \n  6 -> 7 [size =\"9233408\"]\n  7 [size=\"65513472\", alpha=\"0.04\", expect_size=\"32756736\"] \n  7 -> 8 [size =\"32756736\"]\n  8 [size=\"40607744\", alpha=\"0.01\", expect_size=\"20303872\"] \n  8 -> 9 [size =\"20303872\"]\n  9 [size=\"96770048\", alpha=\"0.01\", expect_size=\"48385024\"] \n  9 -> 10 [size =\"48385024\"]\n  10 [size=\"70711296\", alpha=\"0.12\", expect_size=\"35355648\"] \n  10 -> 11 [size =\"35355648\"]\n  11 [size=\"96143360\", alpha=\"0.02\", expect_size=\"48071680\"] \n  11 -> 12 [size =\"48071680\"]\n  12 [size=\"18100224\", alpha=\"0.13\", expect_size=\"9050112\"] \n  12 -> 13 [size =\"9050112\"]\n  13 [size=\"102244352\", alpha=\"0.01\", expect_size=\"51122176\"] \n  13 -> 14 [size =\"51122176\"]\n  14 [size=\"55441408\", alpha=\"0.19\", expect_size=\"27720704\"] \n  14 -> 15 [size =\"27720704\"]\n  15 [size=\"33011712\", alpha=\"0.07\", expect_size=\"16505856\"] \n  15 -> 16 [size =\"16505856\"]\n  16 [size=\"32061440\", alpha=\"0.03\", expect_size=\"16030720\"] \n  16 -> 17 [size =\"16030720\"]\n  17 [size=\"15730688\", alpha=\"0.02\", expect_size=\"7865344\"] \n  17 -> 18 [size =\"7865344\"]\n  18 [size=\"35657728\", alpha=\"0.11\", expect_size=\"17828864\"] \n  18 -> 19 [size =\"17828864\"]\n  19 [size=\"38942720\", alpha=\"0.11\", expect_size=\"19471360\"] \n  19 -> 20 [size =\"19471360\"]\n  20 [size=\"41457664\", alpha=\"0.00\", expect_size=\"20728832\"] \n  20 -> 21 [size =\"20728832\"]\n  21 [size=\"97748992\", alpha=\"0.17\", expect_size=\"48874496\"] \n  21 -> 22 [size =\"48874496\"]\n  22 [size=\"10563584\", alpha=\"0.08\", expect_size=\"5281792\"] \n  22 -> 23 [size =\"5281792\"]\n  23 [size=\"71442432\", alpha=\"0.14\", expect_size=\"35721216\"] \n  23 -> 24 [size =\"35721216\"]\n  24 [size=\"74713088\", alpha=\"0.07\", expect_size=\"37356544\"] \n  24 -> 25 [size =\"37356544\"]\n  25 [size=\"67837952\", alpha=\"0.14\", expect_size=\"33918976\"] \n  25 -> 26 [size =\"33918976\"]\n  26 [size=\"101687296\", alpha=\"0.02\", expect_size=\"50843648\"] \n  26 -> 27 [size =\"50843648\"]\n  27 [size=\"21508096\", alpha=\"0.03\", expect_size=\"10754048\"] \n  27 -> 28 [size =\"10754048\"]\n  28 [size=\"29323264\", alpha=\"0.09\", expect_size=\"14661632\"] \n  28 -> 29 [size =\"14661632\"]\n  29 [size=\"79454208\", alpha=\"0.14\", expect_size=\"39727104\"] \n  29 -> 30 [size =\"39727104\"]\n  30 [size=\"38107136\", alpha=\"0.12\", expect_size=\"19053568\"] \n  30 -> 31 [size =\"19053568\"]\n  31 [size=\"39757824\", alpha=\"0.08\", expect_size=\"19878912\"] \n  31 -> 32 [size =\"19878912\"]\n  32 [size=\"23640064\", alpha=\"0.05\", expect_size=\"11820032\"] \n  32 -> 33 [size =\"11820032\"]\n  33 [size=\"60311552\", alpha=\"0.02\", expect_size=\"30155776\"] \n  33 -> 34 [size =\"30155776\"]\n  34 [size=\"29683712\", alpha=\"0.08\", expect_size=\"14841856\"] \n  34 -> 35 [size =\"14841856\"]\n  35 [size=\"62713856\", alpha=\"0.20\", expect_size=\"31356928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45704533\", alpha=\"0.06\", expect_size=\"13711360\"] \n  1 -> 32 [size =\"13711360\"]\n  1 -> 33 [size =\"13711360\"]\n  1 -> 34 [size =\"13711360\"]\n  1 -> 35 [size =\"13711360\"]\n  2 [size=\"150678187\", alpha=\"0.20\", expect_size=\"45203456\"] \n  2 -> 31 [size =\"45203456\"]\n  2 -> 33 [size =\"45203456\"]\n  2 -> 34 [size =\"45203456\"]\n  2 -> 35 [size =\"45203456\"]\n  3 [size=\"126747307\", alpha=\"0.20\", expect_size=\"38024192\"] \n  3 -> 29 [size =\"38024192\"]\n  3 -> 33 [size =\"38024192\"]\n  3 -> 34 [size =\"38024192\"]\n  4 [size=\"117794133\", alpha=\"0.05\", expect_size=\"35338240\"] \n  4 -> 32 [size =\"35338240\"]\n  4 -> 34 [size =\"35338240\"]\n  4 -> 34 [size =\"35338240\"]\n  5 [size=\"92702720\", alpha=\"0.03\", expect_size=\"27810816\"] \n  5 -> 30 [size =\"27810816\"]\n  5 -> 32 [size =\"27810816\"]\n  5 -> 33 [size =\"27810816\"]\n  5 -> 34 [size =\"27810816\"]\n  5 -> 35 [size =\"27810816\"]\n  6 [size=\"105284267\", alpha=\"0.05\", expect_size=\"31585280\"] \n  6 -> 29 [size =\"31585280\"]\n  6 -> 32 [size =\"31585280\"]\n  6 -> 33 [size =\"31585280\"]\n  7 [size=\"173796693\", alpha=\"0.18\", expect_size=\"52139008\"] \n  7 -> 29 [size =\"52139008\"]\n  7 -> 32 [size =\"52139008\"]\n  7 -> 33 [size =\"52139008\"]\n  7 -> 34 [size =\"52139008\"]\n  8 [size=\"154316800\", alpha=\"0.14\", expect_size=\"46295040\"] \n  8 -> 32 [size =\"46295040\"]\n  8 -> 32 [size =\"46295040\"]\n  8 -> 33 [size =\"46295040\"]\n  8 -> 34 [size =\"46295040\"]\n  9 [size=\"83599360\", alpha=\"0.15\", expect_size=\"25079808\"] \n  9 -> 29 [size =\"25079808\"]\n  9 -> 33 [size =\"25079808\"]\n  9 -> 33 [size =\"25079808\"]\n  10 [size=\"126361600\", alpha=\"0.12\", expect_size=\"37908480\"] \n  10 -> 29 [size =\"37908480\"]\n  10 -> 33 [size =\"37908480\"]\n  10 -> 34 [size =\"37908480\"]\n  11 [size=\"152466773\", alpha=\"0.16\", expect_size=\"45740032\"] \n  11 -> 29 [size =\"45740032\"]\n  11 -> 31 [size =\"45740032\"]\n  11 -> 33 [size =\"45740032\"]\n  11 -> 34 [size =\"45740032\"]\n  12 [size=\"41738240\", alpha=\"0.18\", expect_size=\"12521472\"] \n  12 -> 33 [size =\"12521472\"]\n  12 -> 34 [size =\"12521472\"]\n  13 [size=\"38256640\", alpha=\"0.16\", expect_size=\"11476992\"] \n  13 -> 33 [size =\"11476992\"]\n  13 -> 34 [size =\"11476992\"]\n  13 -> 35 [size =\"11476992\"]\n  14 [size=\"37413547\", alpha=\"0.04\", expect_size=\"11224064\"] \n  14 -> 29 [size =\"11224064\"]\n  14 -> 31 [size =\"11224064\"]\n  14 -> 32 [size =\"11224064\"]\n  14 -> 33 [size =\"11224064\"]\n  14 -> 34 [size =\"11224064\"]\n  15 [size=\"78144853\", alpha=\"0.18\", expect_size=\"23443456\"] \n  15 -> 29 [size =\"23443456\"]\n  15 -> 32 [size =\"23443456\"]\n  15 -> 33 [size =\"23443456\"]\n  15 -> 34 [size =\"23443456\"]\n  15 -> 35 [size =\"23443456\"]\n  16 [size=\"100048213\", alpha=\"0.20\", expect_size=\"30014464\"] \n  16 -> 33 [size =\"30014464\"]\n  17 [size=\"136721067\", alpha=\"0.19\", expect_size=\"41016320\"] \n  17 -> 33 [size =\"41016320\"]\n  17 -> 34 [size =\"41016320\"]\n  17 -> 35 [size =\"41016320\"]\n  18 [size=\"120558933\", alpha=\"0.15\", expect_size=\"36167680\"] \n  18 -> 29 [size =\"36167680\"]\n  18 -> 32 [size =\"36167680\"]\n  18 -> 34 [size =\"36167680\"]\n  19 [size=\"71290880\", alpha=\"0.19\", expect_size=\"21387264\"] \n  19 -> 30 [size =\"21387264\"]\n  19 -> 32 [size =\"21387264\"]\n  20 [size=\"35263147\", alpha=\"0.04\", expect_size=\"10578944\"] \n  20 -> 30 [size =\"10578944\"]\n  20 -> 33 [size =\"10578944\"]\n  21 [size=\"131969707\", alpha=\"0.11\", expect_size=\"39590912\"] \n  22 [size=\"100297387\", alpha=\"0.16\", expect_size=\"30089216\"] \n  22 -> 32 [size =\"30089216\"]\n  22 -> 34 [size =\"30089216\"]\n  23 [size=\"87985493\", alpha=\"0.15\", expect_size=\"26395648\"] \n  23 -> 33 [size =\"26395648\"]\n  23 -> 34 [size =\"26395648\"]\n  23 -> 35 [size =\"26395648\"]\n  24 [size=\"57541973\", alpha=\"0.06\", expect_size=\"17262592\"] \n  24 -> 32 [size =\"17262592\"]\n  24 -> 33 [size =\"17262592\"]\n  24 -> 34 [size =\"17262592\"]\n  24 -> 35 [size =\"17262592\"]\n  25 [size=\"91753813\", alpha=\"0.07\", expect_size=\"27526144\"] \n  25 -> 29 [size =\"27526144\"]\n  25 -> 32 [size =\"27526144\"]\n  25 -> 33 [size =\"27526144\"]\n  25 -> 34 [size =\"27526144\"]\n  26 [size=\"74458453\", alpha=\"0.19\", expect_size=\"22337536\"] \n  26 -> 29 [size =\"22337536\"]\n  26 -> 33 [size =\"22337536\"]\n  26 -> 33 [size =\"22337536\"]\n  26 -> 34 [size =\"22337536\"]\n  27 [size=\"74113707\", alpha=\"0.11\", expect_size=\"22234112\"] \n  27 -> 32 [size =\"22234112\"]\n  27 -> 34 [size =\"22234112\"]\n  27 -> 35 [size =\"22234112\"]\n  28 [size=\"63969280\", alpha=\"0.00\", expect_size=\"19190784\"] \n  28 -> 32 [size =\"19190784\"]\n  28 -> 34 [size =\"19190784\"]\n  28 -> 35 [size =\"19190784\"]\n  29 [size=\"27658240\", alpha=\"0.18\", expect_size=\"8297472\"] \n  30 [size=\"23183360\", alpha=\"0.10\", expect_size=\"6955008\"] \n  31 [size=\"51524267\", alpha=\"0.18\", expect_size=\"15457280\"] \n  32 [size=\"140912640\", alpha=\"0.10\", expect_size=\"42273792\"] \n  33 [size=\"109984427\", alpha=\"0.05\", expect_size=\"32995328\"] \n  34 [size=\"68003840\", alpha=\"0.02\", expect_size=\"20401152\"] \n  35 [size=\"115295573\", alpha=\"0.07\", expect_size=\"34588672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86093824\", alpha=\"0.10\", expect_size=\"43046912\"] \n  1 -> 4 [size =\"43046912\"]\n  1 -> 5 [size =\"43046912\"]\n  1 -> 6 [size =\"43046912\"]\n  1 -> 7 [size =\"43046912\"]\n  1 -> 8 [size =\"43046912\"]\n  1 -> 9 [size =\"43046912\"]\n  2 [size=\"53549056\", alpha=\"0.17\", expect_size=\"26774528\"] \n  2 -> 3 [size =\"26774528\"]\n  2 -> 4 [size =\"26774528\"]\n  2 -> 5 [size =\"26774528\"]\n  2 -> 8 [size =\"26774528\"]\n  2 -> 9 [size =\"26774528\"]\n  3 [size=\"53456896\", alpha=\"0.20\", expect_size=\"26728448\"] \n  3 -> 10 [size =\"26728448\"]\n  3 -> 11 [size =\"26728448\"]\n  3 -> 12 [size =\"26728448\"]\n  4 [size=\"18001920\", alpha=\"0.11\", expect_size=\"9000960\"] \n  4 -> 10 [size =\"9000960\"]\n  4 -> 11 [size =\"9000960\"]\n  4 -> 13 [size =\"9000960\"]\n  5 [size=\"22771712\", alpha=\"0.06\", expect_size=\"11385856\"] \n  6 [size=\"67332096\", alpha=\"0.13\", expect_size=\"33666048\"] \n  6 -> 10 [size =\"33666048\"]\n  6 -> 14 [size =\"33666048\"]\n  7 [size=\"88649728\", alpha=\"0.09\", expect_size=\"44324864\"] \n  7 -> 10 [size =\"44324864\"]\n  7 -> 14 [size =\"44324864\"]\n  7 -> 15 [size =\"44324864\"]\n  8 [size=\"39374848\", alpha=\"0.10\", expect_size=\"19687424\"] \n  8 -> 10 [size =\"19687424\"]\n  8 -> 15 [size =\"19687424\"]\n  9 [size=\"38379520\", alpha=\"0.16\", expect_size=\"19189760\"] \n  9 -> 10 [size =\"19189760\"]\n  10 [size=\"100743168\", alpha=\"0.13\", expect_size=\"50371584\"] \n  10 -> 17 [size =\"50371584\"]\n  10 -> 18 [size =\"50371584\"]\n  10 -> 19 [size =\"50371584\"]\n  11 [size=\"12408832\", alpha=\"0.04\", expect_size=\"6204416\"] \n  11 -> 17 [size =\"6204416\"]\n  11 -> 18 [size =\"6204416\"]\n  11 -> 19 [size =\"6204416\"]\n  12 [size=\"60420096\", alpha=\"0.18\", expect_size=\"30210048\"] \n  12 -> 16 [size =\"30210048\"]\n  12 -> 17 [size =\"30210048\"]\n  12 -> 18 [size =\"30210048\"]\n  12 -> 19 [size =\"30210048\"]\n  13 [size=\"46891008\", alpha=\"0.20\", expect_size=\"23445504\"] \n  13 -> 16 [size =\"23445504\"]\n  13 -> 18 [size =\"23445504\"]\n  13 -> 19 [size =\"23445504\"]\n  14 [size=\"46442496\", alpha=\"0.10\", expect_size=\"23221248\"] \n  14 -> 17 [size =\"23221248\"]\n  14 -> 18 [size =\"23221248\"]\n  14 -> 19 [size =\"23221248\"]\n  15 [size=\"98164736\", alpha=\"0.00\", expect_size=\"49082368\"] \n  15 -> 17 [size =\"49082368\"]\n  15 -> 18 [size =\"49082368\"]\n  15 -> 19 [size =\"49082368\"]\n  16 [size=\"31365120\", alpha=\"0.16\", expect_size=\"15682560\"] \n  16 -> 20 [size =\"15682560\"]\n  16 -> 21 [size =\"15682560\"]\n  16 -> 23 [size =\"15682560\"]\n  17 [size=\"91037696\", alpha=\"0.17\", expect_size=\"45518848\"] \n  17 -> 20 [size =\"45518848\"]\n  17 -> 21 [size =\"45518848\"]\n  17 -> 24 [size =\"45518848\"]\n  18 [size=\"38195200\", alpha=\"0.16\", expect_size=\"19097600\"] \n  18 -> 20 [size =\"19097600\"]\n  18 -> 21 [size =\"19097600\"]\n  18 -> 22 [size =\"19097600\"]\n  18 -> 24 [size =\"19097600\"]\n  19 [size=\"85118976\", alpha=\"0.10\", expect_size=\"42559488\"] \n  19 -> 20 [size =\"42559488\"]\n  19 -> 21 [size =\"42559488\"]\n  20 [size=\"67846144\", alpha=\"0.10\", expect_size=\"33923072\"] \n  20 -> 26 [size =\"33923072\"]\n  20 -> 27 [size =\"33923072\"]\n  21 [size=\"35477504\", alpha=\"0.05\", expect_size=\"17738752\"] \n  21 -> 25 [size =\"17738752\"]\n  21 -> 27 [size =\"17738752\"]\n  22 [size=\"54827008\", alpha=\"0.10\", expect_size=\"27413504\"] \n  22 -> 26 [size =\"27413504\"]\n  22 -> 27 [size =\"27413504\"]\n  23 [size=\"46473216\", alpha=\"0.04\", expect_size=\"23236608\"] \n  23 -> 26 [size =\"23236608\"]\n  24 [size=\"45971456\", alpha=\"0.20\", expect_size=\"22985728\"] \n  24 -> 26 [size =\"22985728\"]\n  25 [size=\"91162624\", alpha=\"0.18\", expect_size=\"45581312\"] \n  25 -> 28 [size =\"45581312\"]\n  25 -> 31 [size =\"45581312\"]\n  25 -> 32 [size =\"45581312\"]\n  25 -> 33 [size =\"45581312\"]\n  26 [size=\"92405760\", alpha=\"0.08\", expect_size=\"46202880\"] \n  26 -> 28 [size =\"46202880\"]\n  26 -> 29 [size =\"46202880\"]\n  26 -> 30 [size =\"46202880\"]\n  26 -> 32 [size =\"46202880\"]\n  26 -> 33 [size =\"46202880\"]\n  27 [size=\"72790016\", alpha=\"0.15\", expect_size=\"36395008\"] \n  27 -> 30 [size =\"36395008\"]\n  27 -> 32 [size =\"36395008\"]\n  27 -> 33 [size =\"36395008\"]\n  28 [size=\"60448768\", alpha=\"0.08\", expect_size=\"30224384\"] \n  28 -> 34 [size =\"30224384\"]\n  28 -> 35 [size =\"30224384\"]\n  29 [size=\"40704000\", alpha=\"0.07\", expect_size=\"20352000\"] \n  29 -> 34 [size =\"20352000\"]\n  30 [size=\"87296000\", alpha=\"0.05\", expect_size=\"43648000\"] \n  31 [size=\"38346752\", alpha=\"0.03\", expect_size=\"19173376\"] \n  31 -> 35 [size =\"19173376\"]\n  32 [size=\"63836160\", alpha=\"0.12\", expect_size=\"31918080\"] \n  32 -> 34 [size =\"31918080\"]\n  32 -> 35 [size =\"31918080\"]\n  33 [size=\"18083840\", alpha=\"0.09\", expect_size=\"9041920\"] \n  33 -> 34 [size =\"9041920\"]\n  33 -> 35 [size =\"9041920\"]\n  34 [size=\"38436864\", alpha=\"0.13\", expect_size=\"19218432\"] \n  35 [size=\"38037504\", alpha=\"0.16\", expect_size=\"19018752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88684544\", alpha=\"0.19\", expect_size=\"44342272\"] \n  1 -> 2 [size =\"44342272\"]\n  2 [size=\"104097792\", alpha=\"0.04\", expect_size=\"52048896\"] \n  2 -> 3 [size =\"52048896\"]\n  3 [size=\"60559360\", alpha=\"0.14\", expect_size=\"30279680\"] \n  3 -> 4 [size =\"30279680\"]\n  4 [size=\"58025984\", alpha=\"0.15\", expect_size=\"29012992\"] \n  4 -> 5 [size =\"29012992\"]\n  5 [size=\"93306880\", alpha=\"0.03\", expect_size=\"46653440\"] \n  5 -> 6 [size =\"46653440\"]\n  6 [size=\"82923520\", alpha=\"0.16\", expect_size=\"41461760\"] \n  6 -> 7 [size =\"41461760\"]\n  7 [size=\"56442880\", alpha=\"0.01\", expect_size=\"28221440\"] \n  7 -> 8 [size =\"28221440\"]\n  8 [size=\"67444736\", alpha=\"0.11\", expect_size=\"33722368\"] \n  8 -> 9 [size =\"33722368\"]\n  9 [size=\"82128896\", alpha=\"0.05\", expect_size=\"41064448\"] \n  9 -> 10 [size =\"41064448\"]\n  10 [size=\"28825600\", alpha=\"0.16\", expect_size=\"14412800\"] \n  10 -> 11 [size =\"14412800\"]\n  11 [size=\"19576832\", alpha=\"0.03\", expect_size=\"9788416\"] \n  11 -> 12 [size =\"9788416\"]\n  12 [size=\"16959488\", alpha=\"0.18\", expect_size=\"8479744\"] \n  12 -> 13 [size =\"8479744\"]\n  13 [size=\"35784704\", alpha=\"0.18\", expect_size=\"17892352\"] \n  13 -> 14 [size =\"17892352\"]\n  14 [size=\"103770112\", alpha=\"0.18\", expect_size=\"51885056\"] \n  14 -> 15 [size =\"51885056\"]\n  15 [size=\"78968832\", alpha=\"0.10\", expect_size=\"39484416\"] \n  15 -> 16 [size =\"39484416\"]\n  16 [size=\"90773504\", alpha=\"0.19\", expect_size=\"45386752\"] \n  16 -> 17 [size =\"45386752\"]\n  17 [size=\"70838272\", alpha=\"0.04\", expect_size=\"35419136\"] \n  17 -> 18 [size =\"35419136\"]\n  18 [size=\"75759616\", alpha=\"0.15\", expect_size=\"37879808\"] \n  18 -> 19 [size =\"37879808\"]\n  19 [size=\"33353728\", alpha=\"0.06\", expect_size=\"16676864\"] \n  19 -> 20 [size =\"16676864\"]\n  20 [size=\"56076288\", alpha=\"0.12\", expect_size=\"28038144\"] \n  20 -> 21 [size =\"28038144\"]\n  21 [size=\"39561216\", alpha=\"0.15\", expect_size=\"19780608\"] \n  21 -> 22 [size =\"19780608\"]\n  22 [size=\"53176320\", alpha=\"0.18\", expect_size=\"26588160\"] \n  22 -> 23 [size =\"26588160\"]\n  23 [size=\"42442752\", alpha=\"0.12\", expect_size=\"21221376\"] \n  23 -> 24 [size =\"21221376\"]\n  24 [size=\"34979840\", alpha=\"0.15\", expect_size=\"17489920\"] \n  24 -> 25 [size =\"17489920\"]\n  25 [size=\"26413056\", alpha=\"0.16\", expect_size=\"13206528\"] \n  25 -> 26 [size =\"13206528\"]\n  26 [size=\"75829248\", alpha=\"0.13\", expect_size=\"37914624\"] \n  26 -> 27 [size =\"37914624\"]\n  27 [size=\"69629952\", alpha=\"0.19\", expect_size=\"34814976\"] \n  27 -> 28 [size =\"34814976\"]\n  28 [size=\"89919488\", alpha=\"0.17\", expect_size=\"44959744\"] \n  28 -> 29 [size =\"44959744\"]\n  29 [size=\"68558848\", alpha=\"0.10\", expect_size=\"34279424\"] \n  29 -> 30 [size =\"34279424\"]\n  30 [size=\"97054720\", alpha=\"0.08\", expect_size=\"48527360\"] \n  30 -> 31 [size =\"48527360\"]\n  31 [size=\"61396992\", alpha=\"0.07\", expect_size=\"30698496\"] \n  31 -> 32 [size =\"30698496\"]\n  32 [size=\"39786496\", alpha=\"0.07\", expect_size=\"19893248\"] \n  32 -> 33 [size =\"19893248\"]\n  33 [size=\"31461376\", alpha=\"0.13\", expect_size=\"15730688\"] \n  33 -> 34 [size =\"15730688\"]\n  34 [size=\"86499328\", alpha=\"0.19\", expect_size=\"43249664\"] \n  34 -> 35 [size =\"43249664\"]\n  35 [size=\"63696896\", alpha=\"0.19\", expect_size=\"31848448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35945813\", alpha=\"0.14\", expect_size=\"10783744\"] \n  1 -> 2 [size =\"10783744\"]\n  2 [size=\"153402027\", alpha=\"0.02\", expect_size=\"46020608\"] \n  2 -> 3 [size =\"46020608\"]\n  3 [size=\"82575360\", alpha=\"0.08\", expect_size=\"24772608\"] \n  3 -> 4 [size =\"24772608\"]\n  4 [size=\"171799893\", alpha=\"0.17\", expect_size=\"51539968\"] \n  4 -> 5 [size =\"51539968\"]\n  5 [size=\"50032640\", alpha=\"0.02\", expect_size=\"15009792\"] \n  5 -> 6 [size =\"15009792\"]\n  6 [size=\"160174080\", alpha=\"0.07\", expect_size=\"48052224\"] \n  6 -> 7 [size =\"48052224\"]\n  7 [size=\"20053333\", alpha=\"0.11\", expect_size=\"6016000\"] \n  7 -> 8 [size =\"6016000\"]\n  8 [size=\"28900693\", alpha=\"0.08\", expect_size=\"8670208\"] \n  8 -> 9 [size =\"8670208\"]\n  9 [size=\"157583360\", alpha=\"0.06\", expect_size=\"47275008\"] \n  9 -> 10 [size =\"47275008\"]\n  10 [size=\"49080320\", alpha=\"0.14\", expect_size=\"14724096\"] \n  10 -> 11 [size =\"14724096\"]\n  11 [size=\"113896107\", alpha=\"0.16\", expect_size=\"34168832\"] \n  11 -> 12 [size =\"34168832\"]\n  12 [size=\"66443947\", alpha=\"0.07\", expect_size=\"19933184\"] \n  12 -> 13 [size =\"19933184\"]\n  13 [size=\"80237227\", alpha=\"0.11\", expect_size=\"24071168\"] \n  13 -> 14 [size =\"24071168\"]\n  14 [size=\"143581867\", alpha=\"0.04\", expect_size=\"43074560\"] \n  14 -> 15 [size =\"43074560\"]\n  15 [size=\"116637013\", alpha=\"0.09\", expect_size=\"34991104\"] \n  15 -> 16 [size =\"34991104\"]\n  16 [size=\"130973013\", alpha=\"0.13\", expect_size=\"39291904\"] \n  16 -> 17 [size =\"39291904\"]\n  17 [size=\"28624213\", alpha=\"0.09\", expect_size=\"8587264\"] \n  17 -> 18 [size =\"8587264\"]\n  18 [size=\"115954347\", alpha=\"0.19\", expect_size=\"34786304\"] \n  18 -> 19 [size =\"34786304\"]\n  19 [size=\"25511253\", alpha=\"0.20\", expect_size=\"7653376\"] \n  19 -> 20 [size =\"7653376\"]\n  20 [size=\"76424533\", alpha=\"0.15\", expect_size=\"22927360\"] \n  20 -> 21 [size =\"22927360\"]\n  21 [size=\"31941973\", alpha=\"0.13\", expect_size=\"9582592\"] \n  21 -> 22 [size =\"9582592\"]\n  22 [size=\"154941440\", alpha=\"0.08\", expect_size=\"46482432\"] \n  22 -> 23 [size =\"46482432\"]\n  23 [size=\"56477013\", alpha=\"0.11\", expect_size=\"16943104\"] \n  23 -> 24 [size =\"16943104\"]\n  24 [size=\"146872320\", alpha=\"0.14\", expect_size=\"44061696\"] \n  24 -> 25 [size =\"44061696\"]\n  25 [size=\"21510827\", alpha=\"0.01\", expect_size=\"6453248\"] \n  25 -> 26 [size =\"6453248\"]\n  26 [size=\"96187733\", alpha=\"0.06\", expect_size=\"28856320\"] \n  26 -> 27 [size =\"28856320\"]\n  27 [size=\"44953600\", alpha=\"0.12\", expect_size=\"13486080\"] \n  27 -> 28 [size =\"13486080\"]\n  28 [size=\"118886400\", alpha=\"0.19\", expect_size=\"35665920\"] \n  28 -> 29 [size =\"35665920\"]\n  29 [size=\"110107307\", alpha=\"0.03\", expect_size=\"33032192\"] \n  29 -> 30 [size =\"33032192\"]\n  30 [size=\"108950187\", alpha=\"0.12\", expect_size=\"32685056\"] \n  30 -> 31 [size =\"32685056\"]\n  31 [size=\"71089493\", alpha=\"0.13\", expect_size=\"21326848\"] \n  31 -> 32 [size =\"21326848\"]\n  32 [size=\"172277760\", alpha=\"0.00\", expect_size=\"51683328\"] \n  32 -> 33 [size =\"51683328\"]\n  33 [size=\"76584960\", alpha=\"0.16\", expect_size=\"22975488\"] \n  33 -> 34 [size =\"22975488\"]\n  34 [size=\"163682987\", alpha=\"0.07\", expect_size=\"49104896\"] \n  34 -> 35 [size =\"49104896\"]\n  35 [size=\"116036267\", alpha=\"0.11\", expect_size=\"34810880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100794368\", alpha=\"0.20\", expect_size=\"50397184\"] \n  1 -> 2 [size =\"50397184\"]\n  2 [size=\"85645312\", alpha=\"0.11\", expect_size=\"42822656\"] \n  2 -> 3 [size =\"42822656\"]\n  3 [size=\"92432384\", alpha=\"0.04\", expect_size=\"46216192\"] \n  3 -> 4 [size =\"46216192\"]\n  4 [size=\"61759488\", alpha=\"0.11\", expect_size=\"30879744\"] \n  4 -> 5 [size =\"30879744\"]\n  5 [size=\"23476224\", alpha=\"0.14\", expect_size=\"11738112\"] \n  5 -> 6 [size =\"11738112\"]\n  6 [size=\"73562112\", alpha=\"0.02\", expect_size=\"36781056\"] \n  6 -> 7 [size =\"36781056\"]\n  7 [size=\"28585984\", alpha=\"0.15\", expect_size=\"14292992\"] \n  7 -> 8 [size =\"14292992\"]\n  8 [size=\"78219264\", alpha=\"0.11\", expect_size=\"39109632\"] \n  8 -> 9 [size =\"39109632\"]\n  9 [size=\"32665600\", alpha=\"0.04\", expect_size=\"16332800\"] \n  9 -> 10 [size =\"16332800\"]\n  10 [size=\"54355968\", alpha=\"0.09\", expect_size=\"27177984\"] \n  10 -> 11 [size =\"27177984\"]\n  11 [size=\"52156416\", alpha=\"0.17\", expect_size=\"26078208\"] \n  11 -> 12 [size =\"26078208\"]\n  12 [size=\"51288064\", alpha=\"0.17\", expect_size=\"25644032\"] \n  12 -> 13 [size =\"25644032\"]\n  13 [size=\"103825408\", alpha=\"0.07\", expect_size=\"51912704\"] \n  13 -> 14 [size =\"51912704\"]\n  14 [size=\"26738688\", alpha=\"0.14\", expect_size=\"13369344\"] \n  14 -> 15 [size =\"13369344\"]\n  15 [size=\"77617152\", alpha=\"0.06\", expect_size=\"38808576\"] \n  15 -> 16 [size =\"38808576\"]\n  16 [size=\"49408000\", alpha=\"0.19\", expect_size=\"24704000\"] \n  16 -> 17 [size =\"24704000\"]\n  17 [size=\"57282560\", alpha=\"0.18\", expect_size=\"28641280\"] \n  17 -> 18 [size =\"28641280\"]\n  18 [size=\"35336192\", alpha=\"0.00\", expect_size=\"17668096\"] \n  18 -> 19 [size =\"17668096\"]\n  19 [size=\"87306240\", alpha=\"0.07\", expect_size=\"43653120\"] \n  19 -> 20 [size =\"43653120\"]\n  20 [size=\"12562432\", alpha=\"0.07\", expect_size=\"6281216\"] \n  20 -> 21 [size =\"6281216\"]\n  21 [size=\"56918016\", alpha=\"0.06\", expect_size=\"28459008\"] \n  21 -> 22 [size =\"28459008\"]\n  22 [size=\"42778624\", alpha=\"0.01\", expect_size=\"21389312\"] \n  22 -> 23 [size =\"21389312\"]\n  23 [size=\"30935040\", alpha=\"0.14\", expect_size=\"15467520\"] \n  23 -> 24 [size =\"15467520\"]\n  24 [size=\"62840832\", alpha=\"0.18\", expect_size=\"31420416\"] \n  24 -> 25 [size =\"31420416\"]\n  25 [size=\"36415488\", alpha=\"0.04\", expect_size=\"18207744\"] \n  25 -> 26 [size =\"18207744\"]\n  26 [size=\"63074304\", alpha=\"0.03\", expect_size=\"31537152\"] \n  26 -> 27 [size =\"31537152\"]\n  27 [size=\"56182784\", alpha=\"0.07\", expect_size=\"28091392\"] \n  27 -> 28 [size =\"28091392\"]\n  28 [size=\"48705536\", alpha=\"0.04\", expect_size=\"24352768\"] \n  28 -> 29 [size =\"24352768\"]\n  29 [size=\"51021824\", alpha=\"0.07\", expect_size=\"25510912\"] \n  29 -> 30 [size =\"25510912\"]\n  30 [size=\"83480576\", alpha=\"0.19\", expect_size=\"41740288\"] \n  30 -> 31 [size =\"41740288\"]\n  31 [size=\"22212608\", alpha=\"0.19\", expect_size=\"11106304\"] \n  31 -> 32 [size =\"11106304\"]\n  32 [size=\"51898368\", alpha=\"0.08\", expect_size=\"25949184\"] \n  32 -> 33 [size =\"25949184\"]\n  33 [size=\"58953728\", alpha=\"0.17\", expect_size=\"29476864\"] \n  33 -> 34 [size =\"29476864\"]\n  34 [size=\"30955520\", alpha=\"0.10\", expect_size=\"15477760\"] \n  34 -> 35 [size =\"15477760\"]\n  35 [size=\"19177472\", alpha=\"0.17\", expect_size=\"9588736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88537600\", alpha=\"0.05\", expect_size=\"35415040\"] \n  1 -> 20 [size =\"35415040\"]\n  2 [size=\"64051200\", alpha=\"0.15\", expect_size=\"25620480\"] \n  2 -> 18 [size =\"25620480\"]\n  2 -> 24 [size =\"25620480\"]\n  2 -> 25 [size =\"25620480\"]\n  3 [size=\"83148800\", alpha=\"0.09\", expect_size=\"33259520\"] \n  3 -> 18 [size =\"33259520\"]\n  3 -> 19 [size =\"33259520\"]\n  3 -> 20 [size =\"33259520\"]\n  3 -> 24 [size =\"33259520\"]\n  3 -> 25 [size =\"33259520\"]\n  4 [size=\"105361920\", alpha=\"0.06\", expect_size=\"42144768\"] \n  4 -> 16 [size =\"42144768\"]\n  4 -> 20 [size =\"42144768\"]\n  4 -> 20 [size =\"42144768\"]\n  5 [size=\"67584000\", alpha=\"0.11\", expect_size=\"27033600\"] \n  5 -> 16 [size =\"27033600\"]\n  5 -> 18 [size =\"27033600\"]\n  5 -> 19 [size =\"27033600\"]\n  5 -> 22 [size =\"27033600\"]\n  5 -> 25 [size =\"27033600\"]\n  6 [size=\"114501120\", alpha=\"0.20\", expect_size=\"45800448\"] \n  6 -> 18 [size =\"45800448\"]\n  6 -> 22 [size =\"45800448\"]\n  7 [size=\"64432640\", alpha=\"0.03\", expect_size=\"25773056\"] \n  7 -> 22 [size =\"25773056\"]\n  8 [size=\"130083840\", alpha=\"0.03\", expect_size=\"52033536\"] \n  8 -> 23 [size =\"52033536\"]\n  9 [size=\"37944320\", alpha=\"0.08\", expect_size=\"15177728\"] \n  9 -> 18 [size =\"15177728\"]\n  9 -> 20 [size =\"15177728\"]\n  9 -> 21 [size =\"15177728\"]\n  9 -> 23 [size =\"15177728\"]\n  10 [size=\"29736960\", alpha=\"0.12\", expect_size=\"11894784\"] \n  10 -> 17 [size =\"11894784\"]\n  10 -> 20 [size =\"11894784\"]\n  10 -> 22 [size =\"11894784\"]\n  10 -> 23 [size =\"11894784\"]\n  11 [size=\"16547840\", alpha=\"0.13\", expect_size=\"6619136\"] \n  11 -> 16 [size =\"6619136\"]\n  11 -> 21 [size =\"6619136\"]\n  11 -> 22 [size =\"6619136\"]\n  11 -> 23 [size =\"6619136\"]\n  12 [size=\"44544000\", alpha=\"0.18\", expect_size=\"17817600\"] \n  12 -> 18 [size =\"17817600\"]\n  12 -> 21 [size =\"17817600\"]\n  13 [size=\"13452800\", alpha=\"0.14\", expect_size=\"5381120\"] \n  13 -> 18 [size =\"5381120\"]\n  13 -> 19 [size =\"5381120\"]\n  13 -> 24 [size =\"5381120\"]\n  14 [size=\"64202240\", alpha=\"0.12\", expect_size=\"25680896\"] \n  14 -> 17 [size =\"25680896\"]\n  14 -> 23 [size =\"25680896\"]\n  15 [size=\"96793600\", alpha=\"0.16\", expect_size=\"38717440\"] \n  15 -> 18 [size =\"38717440\"]\n  15 -> 22 [size =\"38717440\"]\n  15 -> 23 [size =\"38717440\"]\n  16 [size=\"43637760\", alpha=\"0.00\", expect_size=\"17455104\"] \n  16 -> 27 [size =\"17455104\"]\n  17 [size=\"42657280\", alpha=\"0.12\", expect_size=\"17062912\"] \n  17 -> 31 [size =\"17062912\"]\n  17 -> 33 [size =\"17062912\"]\n  18 [size=\"59635200\", alpha=\"0.03\", expect_size=\"23854080\"] \n  19 [size=\"80240640\", alpha=\"0.10\", expect_size=\"32096256\"] \n  19 -> 26 [size =\"32096256\"]\n  19 -> 29 [size =\"32096256\"]\n  19 -> 33 [size =\"32096256\"]\n  20 [size=\"126187520\", alpha=\"0.03\", expect_size=\"50475008\"] \n  20 -> 29 [size =\"50475008\"]\n  20 -> 31 [size =\"50475008\"]\n  20 -> 32 [size =\"50475008\"]\n  21 [size=\"78896640\", alpha=\"0.08\", expect_size=\"31558656\"] \n  21 -> 28 [size =\"31558656\"]\n  21 -> 29 [size =\"31558656\"]\n  22 [size=\"38615040\", alpha=\"0.03\", expect_size=\"15446016\"] \n  22 -> 29 [size =\"15446016\"]\n  22 -> 32 [size =\"15446016\"]\n  23 [size=\"28385280\", alpha=\"0.09\", expect_size=\"11354112\"] \n  23 -> 27 [size =\"11354112\"]\n  23 -> 29 [size =\"11354112\"]\n  23 -> 31 [size =\"11354112\"]\n  23 -> 32 [size =\"11354112\"]\n  24 [size=\"108147200\", alpha=\"0.11\", expect_size=\"43258880\"] \n  24 -> 26 [size =\"43258880\"]\n  24 -> 32 [size =\"43258880\"]\n  24 -> 33 [size =\"43258880\"]\n  24 -> 34 [size =\"43258880\"]\n  25 [size=\"58324480\", alpha=\"0.02\", expect_size=\"23329792\"] \n  25 -> 30 [size =\"23329792\"]\n  25 -> 32 [size =\"23329792\"]\n  26 [size=\"33208320\", alpha=\"0.10\", expect_size=\"13283328\"] \n  27 [size=\"34926080\", alpha=\"0.07\", expect_size=\"13970432\"] \n  27 -> 35 [size =\"13970432\"]\n  28 [size=\"106590720\", alpha=\"0.04\", expect_size=\"42636288\"] \n  28 -> 35 [size =\"42636288\"]\n  29 [size=\"123023360\", alpha=\"0.05\", expect_size=\"49209344\"] \n  30 [size=\"62397440\", alpha=\"0.09\", expect_size=\"24958976\"] \n  31 [size=\"77992960\", alpha=\"0.13\", expect_size=\"31197184\"] \n  32 [size=\"127280640\", alpha=\"0.03\", expect_size=\"50912256\"] \n  32 -> 35 [size =\"50912256\"]\n  33 [size=\"25274880\", alpha=\"0.13\", expect_size=\"10109952\"] \n  34 [size=\"77946880\", alpha=\"0.11\", expect_size=\"31178752\"] \n  35 [size=\"23662080\", alpha=\"0.04\", expect_size=\"9464832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56791040\", alpha=\"0.12\", expect_size=\"22716416\"] \n  1 -> 5 [size =\"22716416\"]\n  1 -> 6 [size =\"22716416\"]\n  1 -> 7 [size =\"22716416\"]\n  1 -> 9 [size =\"22716416\"]\n  2 [size=\"23959040\", alpha=\"0.18\", expect_size=\"9583616\"] \n  2 -> 5 [size =\"9583616\"]\n  2 -> 6 [size =\"9583616\"]\n  2 -> 7 [size =\"9583616\"]\n  2 -> 8 [size =\"9583616\"]\n  2 -> 9 [size =\"9583616\"]\n  3 [size=\"59225600\", alpha=\"0.07\", expect_size=\"23690240\"] \n  3 -> 5 [size =\"23690240\"]\n  3 -> 6 [size =\"23690240\"]\n  3 -> 8 [size =\"23690240\"]\n  4 [size=\"42037760\", alpha=\"0.14\", expect_size=\"16815104\"] \n  4 -> 5 [size =\"16815104\"]\n  4 -> 6 [size =\"16815104\"]\n  5 [size=\"58014720\", alpha=\"0.07\", expect_size=\"23205888\"] \n  5 -> 12 [size =\"23205888\"]\n  6 [size=\"53818880\", alpha=\"0.09\", expect_size=\"21527552\"] \n  6 -> 10 [size =\"21527552\"]\n  6 -> 13 [size =\"21527552\"]\n  7 [size=\"126704640\", alpha=\"0.08\", expect_size=\"50681856\"] \n  7 -> 10 [size =\"50681856\"]\n  7 -> 11 [size =\"50681856\"]\n  8 [size=\"129666560\", alpha=\"0.11\", expect_size=\"51866624\"] \n  8 -> 10 [size =\"51866624\"]\n  8 -> 11 [size =\"51866624\"]\n  8 -> 12 [size =\"51866624\"]\n  8 -> 13 [size =\"51866624\"]\n  8 -> 14 [size =\"51866624\"]\n  9 [size=\"85780480\", alpha=\"0.12\", expect_size=\"34312192\"] \n  9 -> 10 [size =\"34312192\"]\n  9 -> 11 [size =\"34312192\"]\n  9 -> 12 [size =\"34312192\"]\n  9 -> 14 [size =\"34312192\"]\n  10 [size=\"28026880\", alpha=\"0.01\", expect_size=\"11210752\"] \n  10 -> 15 [size =\"11210752\"]\n  10 -> 18 [size =\"11210752\"]\n  11 [size=\"31027200\", alpha=\"0.09\", expect_size=\"12410880\"] \n  11 -> 15 [size =\"12410880\"]\n  11 -> 16 [size =\"12410880\"]\n  11 -> 18 [size =\"12410880\"]\n  12 [size=\"103805440\", alpha=\"0.14\", expect_size=\"41522176\"] \n  12 -> 15 [size =\"41522176\"]\n  12 -> 16 [size =\"41522176\"]\n  12 -> 17 [size =\"41522176\"]\n  12 -> 18 [size =\"41522176\"]\n  13 [size=\"90923520\", alpha=\"0.08\", expect_size=\"36369408\"] \n  13 -> 15 [size =\"36369408\"]\n  13 -> 16 [size =\"36369408\"]\n  13 -> 17 [size =\"36369408\"]\n  13 -> 18 [size =\"36369408\"]\n  14 [size=\"130012160\", alpha=\"0.07\", expect_size=\"52004864\"] \n  14 -> 15 [size =\"52004864\"]\n  14 -> 16 [size =\"52004864\"]\n  14 -> 18 [size =\"52004864\"]\n  15 [size=\"93557760\", alpha=\"0.19\", expect_size=\"37423104\"] \n  15 -> 20 [size =\"37423104\"]\n  16 [size=\"16906240\", alpha=\"0.02\", expect_size=\"6762496\"] \n  16 -> 19 [size =\"6762496\"]\n  16 -> 21 [size =\"6762496\"]\n  16 -> 22 [size =\"6762496\"]\n  17 [size=\"71388160\", alpha=\"0.03\", expect_size=\"28555264\"] \n  17 -> 20 [size =\"28555264\"]\n  18 [size=\"119728640\", alpha=\"0.06\", expect_size=\"47891456\"] \n  18 -> 20 [size =\"47891456\"]\n  18 -> 23 [size =\"47891456\"]\n  19 [size=\"67824640\", alpha=\"0.05\", expect_size=\"27129856\"] \n  19 -> 27 [size =\"27129856\"]\n  19 -> 28 [size =\"27129856\"]\n  20 [size=\"19714560\", alpha=\"0.15\", expect_size=\"7885824\"] \n  20 -> 25 [size =\"7885824\"]\n  20 -> 26 [size =\"7885824\"]\n  21 [size=\"26324480\", alpha=\"0.11\", expect_size=\"10529792\"] \n  21 -> 24 [size =\"10529792\"]\n  21 -> 26 [size =\"10529792\"]\n  21 -> 27 [size =\"10529792\"]\n  21 -> 28 [size =\"10529792\"]\n  22 [size=\"81441280\", alpha=\"0.10\", expect_size=\"32576512\"] \n  22 -> 26 [size =\"32576512\"]\n  22 -> 26 [size =\"32576512\"]\n  22 -> 27 [size =\"32576512\"]\n  23 [size=\"46830080\", alpha=\"0.16\", expect_size=\"18732032\"] \n  23 -> 27 [size =\"18732032\"]\n  24 [size=\"95201280\", alpha=\"0.07\", expect_size=\"38080512\"] \n  24 -> 29 [size =\"38080512\"]\n  24 -> 30 [size =\"38080512\"]\n  24 -> 32 [size =\"38080512\"]\n  25 [size=\"19159040\", alpha=\"0.06\", expect_size=\"7663616\"] \n  25 -> 31 [size =\"7663616\"]\n  25 -> 32 [size =\"7663616\"]\n  25 -> 32 [size =\"7663616\"]\n  26 [size=\"15260160\", alpha=\"0.12\", expect_size=\"6104064\"] \n  26 -> 30 [size =\"6104064\"]\n  26 -> 32 [size =\"6104064\"]\n  27 [size=\"25131520\", alpha=\"0.17\", expect_size=\"10052608\"] \n  28 [size=\"44659200\", alpha=\"0.02\", expect_size=\"17863680\"] \n  28 -> 30 [size =\"17863680\"]\n  28 -> 32 [size =\"17863680\"]\n  29 [size=\"80783360\", alpha=\"0.19\", expect_size=\"32313344\"] \n  29 -> 33 [size =\"32313344\"]\n  29 -> 34 [size =\"32313344\"]\n  29 -> 35 [size =\"32313344\"]\n  30 [size=\"112066560\", alpha=\"0.19\", expect_size=\"44826624\"] \n  30 -> 33 [size =\"44826624\"]\n  30 -> 34 [size =\"44826624\"]\n  30 -> 35 [size =\"44826624\"]\n  31 [size=\"80115200\", alpha=\"0.01\", expect_size=\"32046080\"] \n  31 -> 33 [size =\"32046080\"]\n  31 -> 34 [size =\"32046080\"]\n  31 -> 35 [size =\"32046080\"]\n  32 [size=\"28618240\", alpha=\"0.19\", expect_size=\"11447296\"] \n  32 -> 33 [size =\"11447296\"]\n  32 -> 34 [size =\"11447296\"]\n  33 [size=\"86392320\", alpha=\"0.11\", expect_size=\"34556928\"] \n  34 [size=\"63628800\", alpha=\"0.02\", expect_size=\"25451520\"] \n  35 [size=\"107220480\", alpha=\"0.06\", expect_size=\"42888192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163392853\", alpha=\"0.16\", expect_size=\"49017856\"] \n  1 -> 2 [size =\"49017856\"]\n  2 [size=\"102150827\", alpha=\"0.07\", expect_size=\"30645248\"] \n  2 -> 3 [size =\"30645248\"]\n  3 [size=\"43922773\", alpha=\"0.18\", expect_size=\"13176832\"] \n  3 -> 4 [size =\"13176832\"]\n  4 [size=\"120480427\", alpha=\"0.10\", expect_size=\"36144128\"] \n  4 -> 5 [size =\"36144128\"]\n  5 [size=\"149592747\", alpha=\"0.06\", expect_size=\"44877824\"] \n  5 -> 6 [size =\"44877824\"]\n  6 [size=\"71403520\", alpha=\"0.10\", expect_size=\"21421056\"] \n  6 -> 7 [size =\"21421056\"]\n  7 [size=\"109363200\", alpha=\"0.12\", expect_size=\"32808960\"] \n  7 -> 8 [size =\"32808960\"]\n  8 [size=\"94044160\", alpha=\"0.11\", expect_size=\"28213248\"] \n  8 -> 9 [size =\"28213248\"]\n  9 [size=\"105516373\", alpha=\"0.18\", expect_size=\"31654912\"] \n  9 -> 10 [size =\"31654912\"]\n  10 [size=\"95303680\", alpha=\"0.03\", expect_size=\"28591104\"] \n  10 -> 11 [size =\"28591104\"]\n  11 [size=\"32641707\", alpha=\"0.17\", expect_size=\"9792512\"] \n  11 -> 12 [size =\"9792512\"]\n  12 [size=\"155426133\", alpha=\"0.11\", expect_size=\"46627840\"] \n  12 -> 13 [size =\"46627840\"]\n  13 [size=\"53674667\", alpha=\"0.03\", expect_size=\"16102400\"] \n  13 -> 14 [size =\"16102400\"]\n  14 [size=\"35682987\", alpha=\"0.03\", expect_size=\"10704896\"] \n  14 -> 15 [size =\"10704896\"]\n  15 [size=\"113892693\", alpha=\"0.07\", expect_size=\"34167808\"] \n  15 -> 16 [size =\"34167808\"]\n  16 [size=\"163642027\", alpha=\"0.02\", expect_size=\"49092608\"] \n  16 -> 17 [size =\"49092608\"]\n  17 [size=\"88398507\", alpha=\"0.09\", expect_size=\"26519552\"] \n  17 -> 18 [size =\"26519552\"]\n  18 [size=\"22439253\", alpha=\"0.03\", expect_size=\"6731776\"] \n  18 -> 19 [size =\"6731776\"]\n  19 [size=\"106437973\", alpha=\"0.09\", expect_size=\"31931392\"] \n  19 -> 20 [size =\"31931392\"]\n  20 [size=\"88268800\", alpha=\"0.06\", expect_size=\"26480640\"] \n  20 -> 21 [size =\"26480640\"]\n  21 [size=\"112670720\", alpha=\"0.02\", expect_size=\"33801216\"] \n  21 -> 22 [size =\"33801216\"]\n  22 [size=\"92013227\", alpha=\"0.09\", expect_size=\"27603968\"] \n  22 -> 23 [size =\"27603968\"]\n  23 [size=\"22681600\", alpha=\"0.19\", expect_size=\"6804480\"] \n  23 -> 24 [size =\"6804480\"]\n  24 [size=\"47933440\", alpha=\"0.01\", expect_size=\"14380032\"] \n  24 -> 25 [size =\"14380032\"]\n  25 [size=\"68433920\", alpha=\"0.01\", expect_size=\"20530176\"] \n  25 -> 26 [size =\"20530176\"]\n  26 [size=\"126190933\", alpha=\"0.08\", expect_size=\"37857280\"] \n  26 -> 27 [size =\"37857280\"]\n  27 [size=\"145315840\", alpha=\"0.06\", expect_size=\"43594752\"] \n  27 -> 28 [size =\"43594752\"]\n  28 [size=\"59419307\", alpha=\"0.14\", expect_size=\"17825792\"] \n  28 -> 29 [size =\"17825792\"]\n  29 [size=\"84176213\", alpha=\"0.13\", expect_size=\"25252864\"] \n  29 -> 30 [size =\"25252864\"]\n  30 [size=\"156986027\", alpha=\"0.03\", expect_size=\"47095808\"] \n  30 -> 31 [size =\"47095808\"]\n  31 [size=\"50278400\", alpha=\"0.14\", expect_size=\"15083520\"] \n  31 -> 32 [size =\"15083520\"]\n  32 [size=\"67252907\", alpha=\"0.02\", expect_size=\"20175872\"] \n  32 -> 33 [size =\"20175872\"]\n  33 [size=\"135304533\", alpha=\"0.15\", expect_size=\"40591360\"] \n  33 -> 34 [size =\"40591360\"]\n  34 [size=\"123596800\", alpha=\"0.11\", expect_size=\"37079040\"] \n  34 -> 35 [size =\"37079040\"]\n  35 [size=\"135130453\", alpha=\"0.19\", expect_size=\"40539136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69109760\", alpha=\"0.16\", expect_size=\"27643904\"] \n  1 -> 22 [size =\"27643904\"]\n  1 -> 23 [size =\"27643904\"]\n  1 -> 34 [size =\"27643904\"]\n  1 -> 35 [size =\"27643904\"]\n  2 [size=\"44034560\", alpha=\"0.09\", expect_size=\"17613824\"] \n  2 -> 27 [size =\"17613824\"]\n  2 -> 28 [size =\"17613824\"]\n  2 -> 35 [size =\"17613824\"]\n  3 [size=\"107660800\", alpha=\"0.01\", expect_size=\"43064320\"] \n  3 -> 25 [size =\"43064320\"]\n  3 -> 29 [size =\"43064320\"]\n  3 -> 30 [size =\"43064320\"]\n  3 -> 32 [size =\"43064320\"]\n  3 -> 33 [size =\"43064320\"]\n  3 -> 34 [size =\"43064320\"]\n  4 [size=\"27294720\", alpha=\"0.13\", expect_size=\"10917888\"] \n  4 -> 27 [size =\"10917888\"]\n  4 -> 28 [size =\"10917888\"]\n  4 -> 30 [size =\"10917888\"]\n  4 -> 34 [size =\"10917888\"]\n  5 [size=\"127421440\", alpha=\"0.18\", expect_size=\"50968576\"] \n  5 -> 23 [size =\"50968576\"]\n  5 -> 25 [size =\"50968576\"]\n  5 -> 28 [size =\"50968576\"]\n  6 [size=\"53780480\", alpha=\"0.04\", expect_size=\"21512192\"] \n  6 -> 23 [size =\"21512192\"]\n  6 -> 25 [size =\"21512192\"]\n  6 -> 34 [size =\"21512192\"]\n  7 [size=\"107591680\", alpha=\"0.16\", expect_size=\"43036672\"] \n  7 -> 23 [size =\"43036672\"]\n  7 -> 25 [size =\"43036672\"]\n  7 -> 28 [size =\"43036672\"]\n  7 -> 29 [size =\"43036672\"]\n  7 -> 34 [size =\"43036672\"]\n  8 [size=\"23756800\", alpha=\"0.05\", expect_size=\"9502720\"] \n  8 -> 23 [size =\"9502720\"]\n  8 -> 24 [size =\"9502720\"]\n  8 -> 34 [size =\"9502720\"]\n  8 -> 35 [size =\"9502720\"]\n  9 [size=\"62819840\", alpha=\"0.03\", expect_size=\"25127936\"] \n  9 -> 24 [size =\"25127936\"]\n  9 -> 25 [size =\"25127936\"]\n  9 -> 29 [size =\"25127936\"]\n  9 -> 32 [size =\"25127936\"]\n  9 -> 34 [size =\"25127936\"]\n  9 -> 35 [size =\"25127936\"]\n  10 [size=\"47449600\", alpha=\"0.11\", expect_size=\"18979840\"] \n  10 -> 22 [size =\"18979840\"]\n  10 -> 24 [size =\"18979840\"]\n  10 -> 32 [size =\"18979840\"]\n  10 -> 34 [size =\"18979840\"]\n  10 -> 34 [size =\"18979840\"]\n  10 -> 35 [size =\"18979840\"]\n  11 [size=\"36989440\", alpha=\"0.15\", expect_size=\"14795776\"] \n  11 -> 23 [size =\"14795776\"]\n  11 -> 24 [size =\"14795776\"]\n  11 -> 26 [size =\"14795776\"]\n  11 -> 28 [size =\"14795776\"]\n  11 -> 32 [size =\"14795776\"]\n  11 -> 33 [size =\"14795776\"]\n  11 -> 34 [size =\"14795776\"]\n  12 [size=\"13813760\", alpha=\"0.06\", expect_size=\"5525504\"] \n  12 -> 27 [size =\"5525504\"]\n  12 -> 29 [size =\"5525504\"]\n  12 -> 33 [size =\"5525504\"]\n  12 -> 34 [size =\"5525504\"]\n  12 -> 35 [size =\"5525504\"]\n  13 [size=\"66887680\", alpha=\"0.18\", expect_size=\"26755072\"] \n  13 -> 24 [size =\"26755072\"]\n  13 -> 27 [size =\"26755072\"]\n  13 -> 28 [size =\"26755072\"]\n  13 -> 29 [size =\"26755072\"]\n  13 -> 30 [size =\"26755072\"]\n  13 -> 31 [size =\"26755072\"]\n  13 -> 32 [size =\"26755072\"]\n  13 -> 33 [size =\"26755072\"]\n  14 [size=\"71912960\", alpha=\"0.09\", expect_size=\"28765184\"] \n  14 -> 22 [size =\"28765184\"]\n  14 -> 23 [size =\"28765184\"]\n  14 -> 27 [size =\"28765184\"]\n  14 -> 28 [size =\"28765184\"]\n  14 -> 30 [size =\"28765184\"]\n  14 -> 32 [size =\"28765184\"]\n  14 -> 33 [size =\"28765184\"]\n  15 [size=\"32092160\", alpha=\"0.09\", expect_size=\"12836864\"] \n  15 -> 22 [size =\"12836864\"]\n  15 -> 23 [size =\"12836864\"]\n  15 -> 26 [size =\"12836864\"]\n  15 -> 27 [size =\"12836864\"]\n  15 -> 28 [size =\"12836864\"]\n  15 -> 29 [size =\"12836864\"]\n  15 -> 32 [size =\"12836864\"]\n  15 -> 33 [size =\"12836864\"]\n  15 -> 34 [size =\"12836864\"]\n  16 [size=\"19860480\", alpha=\"0.19\", expect_size=\"7944192\"] \n  16 -> 23 [size =\"7944192\"]\n  16 -> 23 [size =\"7944192\"]\n  16 -> 24 [size =\"7944192\"]\n  16 -> 27 [size =\"7944192\"]\n  16 -> 32 [size =\"7944192\"]\n  16 -> 33 [size =\"7944192\"]\n  16 -> 34 [size =\"7944192\"]\n  17 [size=\"46248960\", alpha=\"0.20\", expect_size=\"18499584\"] \n  17 -> 25 [size =\"18499584\"]\n  17 -> 27 [size =\"18499584\"]\n  17 -> 28 [size =\"18499584\"]\n  17 -> 32 [size =\"18499584\"]\n  17 -> 33 [size =\"18499584\"]\n  17 -> 34 [size =\"18499584\"]\n  18 [size=\"21539840\", alpha=\"0.00\", expect_size=\"8615936\"] \n  18 -> 23 [size =\"8615936\"]\n  18 -> 24 [size =\"8615936\"]\n  18 -> 27 [size =\"8615936\"]\n  18 -> 28 [size =\"8615936\"]\n  18 -> 29 [size =\"8615936\"]\n  19 [size=\"53532160\", alpha=\"0.02\", expect_size=\"21412864\"] \n  19 -> 23 [size =\"21412864\"]\n  19 -> 24 [size =\"21412864\"]\n  19 -> 25 [size =\"21412864\"]\n  19 -> 27 [size =\"21412864\"]\n  19 -> 32 [size =\"21412864\"]\n  19 -> 33 [size =\"21412864\"]\n  20 [size=\"68979200\", alpha=\"0.07\", expect_size=\"27591680\"] \n  20 -> 23 [size =\"27591680\"]\n  20 -> 24 [size =\"27591680\"]\n  20 -> 27 [size =\"27591680\"]\n  20 -> 27 [size =\"27591680\"]\n  20 -> 28 [size =\"27591680\"]\n  20 -> 29 [size =\"27591680\"]\n  20 -> 32 [size =\"27591680\"]\n  20 -> 34 [size =\"27591680\"]\n  21 [size=\"13552640\", alpha=\"0.01\", expect_size=\"5421056\"] \n  21 -> 23 [size =\"5421056\"]\n  21 -> 24 [size =\"5421056\"]\n  21 -> 25 [size =\"5421056\"]\n  21 -> 27 [size =\"5421056\"]\n  21 -> 32 [size =\"5421056\"]\n  22 [size=\"99491840\", alpha=\"0.00\", expect_size=\"39796736\"] \n  23 [size=\"17576960\", alpha=\"0.16\", expect_size=\"7030784\"] \n  24 [size=\"121497600\", alpha=\"0.14\", expect_size=\"48599040\"] \n  25 [size=\"55751680\", alpha=\"0.11\", expect_size=\"22300672\"] \n  26 [size=\"107737600\", alpha=\"0.15\", expect_size=\"43095040\"] \n  27 [size=\"101749760\", alpha=\"0.15\", expect_size=\"40699904\"] \n  28 [size=\"98979840\", alpha=\"0.17\", expect_size=\"39591936\"] \n  29 [size=\"99476480\", alpha=\"0.08\", expect_size=\"39790592\"] \n  30 [size=\"111610880\", alpha=\"0.04\", expect_size=\"44644352\"] \n  31 [size=\"33443840\", alpha=\"0.04\", expect_size=\"13377536\"] \n  32 [size=\"38947840\", alpha=\"0.04\", expect_size=\"15579136\"] \n  33 [size=\"41085440\", alpha=\"0.14\", expect_size=\"16434176\"] \n  34 [size=\"16445440\", alpha=\"0.13\", expect_size=\"6578176\"] \n  35 [size=\"97182720\", alpha=\"0.16\", expect_size=\"38873088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31050240\", alpha=\"0.10\", expect_size=\"12420096\"] \n  1 -> 2 [size =\"12420096\"]\n  1 -> 3 [size =\"12420096\"]\n  2 [size=\"115517440\", alpha=\"0.17\", expect_size=\"46206976\"] \n  2 -> 4 [size =\"46206976\"]\n  3 [size=\"44610560\", alpha=\"0.12\", expect_size=\"17844224\"] \n  3 -> 4 [size =\"17844224\"]\n  4 [size=\"54205440\", alpha=\"0.12\", expect_size=\"21682176\"] \n  4 -> 5 [size =\"21682176\"]\n  4 -> 6 [size =\"21682176\"]\n  5 [size=\"31749120\", alpha=\"0.10\", expect_size=\"12699648\"] \n  5 -> 7 [size =\"12699648\"]\n  5 -> 8 [size =\"12699648\"]\n  6 [size=\"79452160\", alpha=\"0.12\", expect_size=\"31780864\"] \n  6 -> 8 [size =\"31780864\"]\n  7 [size=\"49436160\", alpha=\"0.06\", expect_size=\"19774464\"] \n  7 -> 10 [size =\"19774464\"]\n  8 [size=\"30484480\", alpha=\"0.03\", expect_size=\"12193792\"] \n  8 -> 9 [size =\"12193792\"]\n  9 [size=\"93662720\", alpha=\"0.19\", expect_size=\"37465088\"] \n  10 [size=\"118502400\", alpha=\"0.12\", expect_size=\"47400960\"] \n  10 -> 11 [size =\"47400960\"]\n  11 [size=\"97180160\", alpha=\"0.19\", expect_size=\"38872064\"] \n  11 -> 12 [size =\"38872064\"]\n  12 [size=\"41016320\", alpha=\"0.14\", expect_size=\"16406528\"] \n  12 -> 13 [size =\"16406528\"]\n  13 [size=\"23342080\", alpha=\"0.09\", expect_size=\"9336832\"] \n  13 -> 14 [size =\"9336832\"]\n  13 -> 15 [size =\"9336832\"]\n  14 [size=\"92707840\", alpha=\"0.19\", expect_size=\"37083136\"] \n  14 -> 16 [size =\"37083136\"]\n  15 [size=\"47063040\", alpha=\"0.04\", expect_size=\"18825216\"] \n  16 [size=\"105661440\", alpha=\"0.13\", expect_size=\"42264576\"] \n  16 -> 17 [size =\"42264576\"]\n  16 -> 18 [size =\"42264576\"]\n  17 [size=\"56527360\", alpha=\"0.05\", expect_size=\"22610944\"] \n  17 -> 19 [size =\"22610944\"]\n  17 -> 20 [size =\"22610944\"]\n  18 [size=\"93859840\", alpha=\"0.08\", expect_size=\"37543936\"] \n  18 -> 20 [size =\"37543936\"]\n  19 [size=\"113436160\", alpha=\"0.13\", expect_size=\"45374464\"] \n  19 -> 21 [size =\"45374464\"]\n  19 -> 22 [size =\"45374464\"]\n  20 [size=\"108584960\", alpha=\"0.05\", expect_size=\"43433984\"] \n  20 -> 21 [size =\"43433984\"]\n  20 -> 22 [size =\"43433984\"]\n  21 [size=\"63508480\", alpha=\"0.19\", expect_size=\"25403392\"] \n  21 -> 24 [size =\"25403392\"]\n  22 [size=\"55756800\", alpha=\"0.11\", expect_size=\"22302720\"] \n  22 -> 23 [size =\"22302720\"]\n  22 -> 24 [size =\"22302720\"]\n  23 [size=\"22809600\", alpha=\"0.08\", expect_size=\"9123840\"] \n  23 -> 26 [size =\"9123840\"]\n  24 [size=\"75389440\", alpha=\"0.12\", expect_size=\"30155776\"] \n  24 -> 25 [size =\"30155776\"]\n  24 -> 26 [size =\"30155776\"]\n  25 [size=\"69222400\", alpha=\"0.19\", expect_size=\"27688960\"] \n  26 [size=\"91921920\", alpha=\"0.18\", expect_size=\"36768768\"] \n  26 -> 27 [size =\"36768768\"]\n  27 [size=\"49236480\", alpha=\"0.02\", expect_size=\"19694592\"] \n  27 -> 28 [size =\"19694592\"]\n  27 -> 29 [size =\"19694592\"]\n  28 [size=\"76787200\", alpha=\"0.10\", expect_size=\"30714880\"] \n  29 [size=\"126430720\", alpha=\"0.11\", expect_size=\"50572288\"] \n  29 -> 30 [size =\"50572288\"]\n  30 [size=\"86195200\", alpha=\"0.10\", expect_size=\"34478080\"] \n  30 -> 31 [size =\"34478080\"]\n  31 [size=\"113008640\", alpha=\"0.04\", expect_size=\"45203456\"] \n  31 -> 32 [size =\"45203456\"]\n  31 -> 33 [size =\"45203456\"]\n  32 [size=\"106851840\", alpha=\"0.02\", expect_size=\"42740736\"] \n  32 -> 34 [size =\"42740736\"]\n  33 [size=\"52172800\", alpha=\"0.02\", expect_size=\"20869120\"] \n  33 -> 34 [size =\"20869120\"]\n  33 -> 35 [size =\"20869120\"]\n  34 [size=\"98437120\", alpha=\"0.15\", expect_size=\"39374848\"] \n  35 [size=\"50813440\", alpha=\"0.14\", expect_size=\"20325376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22323200\", alpha=\"0.02\", expect_size=\"11161600\"] \n  1 -> 33 [size =\"11161600\"]\n  1 -> 35 [size =\"11161600\"]\n  2 [size=\"40646656\", alpha=\"0.06\", expect_size=\"20323328\"] \n  2 -> 32 [size =\"20323328\"]\n  2 -> 33 [size =\"20323328\"]\n  2 -> 35 [size =\"20323328\"]\n  3 [size=\"75700224\", alpha=\"0.03\", expect_size=\"37850112\"] \n  3 -> 32 [size =\"37850112\"]\n  3 -> 35 [size =\"37850112\"]\n  4 [size=\"15104000\", alpha=\"0.14\", expect_size=\"7552000\"] \n  5 [size=\"88209408\", alpha=\"0.18\", expect_size=\"44104704\"] \n  5 -> 35 [size =\"44104704\"]\n  6 [size=\"39821312\", alpha=\"0.13\", expect_size=\"19910656\"] \n  6 -> 32 [size =\"19910656\"]\n  7 [size=\"37982208\", alpha=\"0.11\", expect_size=\"18991104\"] \n  8 [size=\"61847552\", alpha=\"0.16\", expect_size=\"30923776\"] \n  8 -> 32 [size =\"30923776\"]\n  9 [size=\"28338176\", alpha=\"0.19\", expect_size=\"14169088\"] \n  9 -> 35 [size =\"14169088\"]\n  10 [size=\"89106432\", alpha=\"0.15\", expect_size=\"44553216\"] \n  10 -> 32 [size =\"44553216\"]\n  10 -> 33 [size =\"44553216\"]\n  10 -> 35 [size =\"44553216\"]\n  11 [size=\"51339264\", alpha=\"0.03\", expect_size=\"25669632\"] \n  11 -> 32 [size =\"25669632\"]\n  12 [size=\"61417472\", alpha=\"0.06\", expect_size=\"30708736\"] \n  12 -> 32 [size =\"30708736\"]\n  12 -> 33 [size =\"30708736\"]\n  12 -> 35 [size =\"30708736\"]\n  13 [size=\"88446976\", alpha=\"0.14\", expect_size=\"44223488\"] \n  13 -> 33 [size =\"44223488\"]\n  13 -> 35 [size =\"44223488\"]\n  13 -> 35 [size =\"44223488\"]\n  14 [size=\"103827456\", alpha=\"0.07\", expect_size=\"51913728\"] \n  14 -> 33 [size =\"51913728\"]\n  15 [size=\"74450944\", alpha=\"0.06\", expect_size=\"37225472\"] \n  15 -> 32 [size =\"37225472\"]\n  15 -> 33 [size =\"37225472\"]\n  16 [size=\"65576960\", alpha=\"0.07\", expect_size=\"32788480\"] \n  16 -> 33 [size =\"32788480\"]\n  17 [size=\"32002048\", alpha=\"0.16\", expect_size=\"16001024\"] \n  17 -> 33 [size =\"16001024\"]\n  18 [size=\"83529728\", alpha=\"0.15\", expect_size=\"41764864\"] \n  18 -> 34 [size =\"41764864\"]\n  19 [size=\"65839104\", alpha=\"0.09\", expect_size=\"32919552\"] \n  19 -> 32 [size =\"32919552\"]\n  20 [size=\"59686912\", alpha=\"0.05\", expect_size=\"29843456\"] \n  21 [size=\"34121728\", alpha=\"0.04\", expect_size=\"17060864\"] \n  21 -> 32 [size =\"17060864\"]\n  22 [size=\"50571264\", alpha=\"0.08\", expect_size=\"25285632\"] \n  22 -> 34 [size =\"25285632\"]\n  23 [size=\"78415872\", alpha=\"0.07\", expect_size=\"39207936\"] \n  24 [size=\"50393088\", alpha=\"0.07\", expect_size=\"25196544\"] \n  25 [size=\"82161664\", alpha=\"0.03\", expect_size=\"41080832\"] \n  25 -> 32 [size =\"41080832\"]\n  25 -> 33 [size =\"41080832\"]\n  26 [size=\"14342144\", alpha=\"0.05\", expect_size=\"7171072\"] \n  27 [size=\"48900096\", alpha=\"0.13\", expect_size=\"24450048\"] \n  27 -> 34 [size =\"24450048\"]\n  28 [size=\"28078080\", alpha=\"0.12\", expect_size=\"14039040\"] \n  29 [size=\"98381824\", alpha=\"0.15\", expect_size=\"49190912\"] \n  30 [size=\"47915008\", alpha=\"0.14\", expect_size=\"23957504\"] \n  30 -> 32 [size =\"23957504\"]\n  30 -> 35 [size =\"23957504\"]\n  31 [size=\"72478720\", alpha=\"0.02\", expect_size=\"36239360\"] \n  31 -> 33 [size =\"36239360\"]\n  32 [size=\"89538560\", alpha=\"0.01\", expect_size=\"44769280\"] \n  33 [size=\"34885632\", alpha=\"0.17\", expect_size=\"17442816\"] \n  34 [size=\"68106240\", alpha=\"0.12\", expect_size=\"34053120\"] \n  35 [size=\"99446784\", alpha=\"0.01\", expect_size=\"49723392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29150720\", alpha=\"0.13\", expect_size=\"11660288\"] \n  1 -> 2 [size =\"11660288\"]\n  2 [size=\"71214080\", alpha=\"0.13\", expect_size=\"28485632\"] \n  2 -> 3 [size =\"28485632\"]\n  3 [size=\"122068480\", alpha=\"0.05\", expect_size=\"48827392\"] \n  3 -> 4 [size =\"48827392\"]\n  3 -> 5 [size =\"48827392\"]\n  4 [size=\"60807680\", alpha=\"0.02\", expect_size=\"24323072\"] \n  4 -> 6 [size =\"24323072\"]\n  5 [size=\"105996800\", alpha=\"0.13\", expect_size=\"42398720\"] \n  5 -> 6 [size =\"42398720\"]\n  6 [size=\"128340480\", alpha=\"0.12\", expect_size=\"51336192\"] \n  6 -> 7 [size =\"51336192\"]\n  6 -> 8 [size =\"51336192\"]\n  7 [size=\"45857280\", alpha=\"0.20\", expect_size=\"18342912\"] \n  7 -> 9 [size =\"18342912\"]\n  7 -> 10 [size =\"18342912\"]\n  8 [size=\"78763520\", alpha=\"0.09\", expect_size=\"31505408\"] \n  8 -> 9 [size =\"31505408\"]\n  8 -> 10 [size =\"31505408\"]\n  9 [size=\"17313280\", alpha=\"0.10\", expect_size=\"6925312\"] \n  9 -> 11 [size =\"6925312\"]\n  10 [size=\"13127680\", alpha=\"0.19\", expect_size=\"5251072\"] \n  10 -> 11 [size =\"5251072\"]\n  11 [size=\"105858560\", alpha=\"0.12\", expect_size=\"42343424\"] \n  11 -> 12 [size =\"42343424\"]\n  12 [size=\"63070720\", alpha=\"0.03\", expect_size=\"25228288\"] \n  12 -> 13 [size =\"25228288\"]\n  12 -> 14 [size =\"25228288\"]\n  13 [size=\"21939200\", alpha=\"0.19\", expect_size=\"8775680\"] \n  13 -> 15 [size =\"8775680\"]\n  14 [size=\"50301440\", alpha=\"0.10\", expect_size=\"20120576\"] \n  15 [size=\"60666880\", alpha=\"0.07\", expect_size=\"24266752\"] \n  15 -> 16 [size =\"24266752\"]\n  16 [size=\"21857280\", alpha=\"0.13\", expect_size=\"8742912\"] \n  16 -> 17 [size =\"8742912\"]\n  16 -> 18 [size =\"8742912\"]\n  17 [size=\"94351360\", alpha=\"0.14\", expect_size=\"37740544\"] \n  18 [size=\"92904960\", alpha=\"0.03\", expect_size=\"37161984\"] \n  18 -> 19 [size =\"37161984\"]\n  19 [size=\"30471680\", alpha=\"0.01\", expect_size=\"12188672\"] \n  19 -> 20 [size =\"12188672\"]\n  19 -> 21 [size =\"12188672\"]\n  20 [size=\"90291200\", alpha=\"0.15\", expect_size=\"36116480\"] \n  20 -> 22 [size =\"36116480\"]\n  21 [size=\"84446720\", alpha=\"0.12\", expect_size=\"33778688\"] \n  21 -> 22 [size =\"33778688\"]\n  22 [size=\"35471360\", alpha=\"0.18\", expect_size=\"14188544\"] \n  22 -> 23 [size =\"14188544\"]\n  23 [size=\"52065280\", alpha=\"0.03\", expect_size=\"20826112\"] \n  23 -> 24 [size =\"20826112\"]\n  24 [size=\"44285440\", alpha=\"0.16\", expect_size=\"17714176\"] \n  24 -> 25 [size =\"17714176\"]\n  25 [size=\"102894080\", alpha=\"0.05\", expect_size=\"41157632\"] \n  25 -> 26 [size =\"41157632\"]\n  26 [size=\"28759040\", alpha=\"0.14\", expect_size=\"11503616\"] \n  26 -> 27 [size =\"11503616\"]\n  27 [size=\"103180800\", alpha=\"0.08\", expect_size=\"41272320\"] \n  27 -> 28 [size =\"41272320\"]\n  28 [size=\"69104640\", alpha=\"0.13\", expect_size=\"27641856\"] \n  28 -> 29 [size =\"27641856\"]\n  28 -> 30 [size =\"27641856\"]\n  29 [size=\"86515200\", alpha=\"0.19\", expect_size=\"34606080\"] \n  29 -> 31 [size =\"34606080\"]\n  29 -> 32 [size =\"34606080\"]\n  30 [size=\"91230720\", alpha=\"0.05\", expect_size=\"36492288\"] \n  30 -> 31 [size =\"36492288\"]\n  31 [size=\"60812800\", alpha=\"0.06\", expect_size=\"24325120\"] \n  31 -> 33 [size =\"24325120\"]\n  32 [size=\"129274880\", alpha=\"0.16\", expect_size=\"51709952\"] \n  32 -> 33 [size =\"51709952\"]\n  33 [size=\"118794240\", alpha=\"0.08\", expect_size=\"47517696\"] \n  33 -> 34 [size =\"47517696\"]\n  33 -> 35 [size =\"47517696\"]\n  34 [size=\"20367360\", alpha=\"0.06\", expect_size=\"8146944\"] \n  35 [size=\"117624320\", alpha=\"0.12\", expect_size=\"47049728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49950720\", alpha=\"0.14\", expect_size=\"24975360\"] \n  1 -> 6 [size =\"24975360\"]\n  1 -> 7 [size =\"24975360\"]\n  1 -> 9 [size =\"24975360\"]\n  2 [size=\"76808192\", alpha=\"0.08\", expect_size=\"38404096\"] \n  2 -> 6 [size =\"38404096\"]\n  2 -> 8 [size =\"38404096\"]\n  3 [size=\"38561792\", alpha=\"0.13\", expect_size=\"19280896\"] \n  3 -> 7 [size =\"19280896\"]\n  3 -> 8 [size =\"19280896\"]\n  4 [size=\"46047232\", alpha=\"0.06\", expect_size=\"23023616\"] \n  4 -> 7 [size =\"23023616\"]\n  4 -> 9 [size =\"23023616\"]\n  5 [size=\"19099648\", alpha=\"0.07\", expect_size=\"9549824\"] \n  5 -> 6 [size =\"9549824\"]\n  5 -> 8 [size =\"9549824\"]\n  5 -> 9 [size =\"9549824\"]\n  6 [size=\"14350336\", alpha=\"0.15\", expect_size=\"7175168\"] \n  6 -> 10 [size =\"7175168\"]\n  7 [size=\"14483456\", alpha=\"0.16\", expect_size=\"7241728\"] \n  7 -> 10 [size =\"7241728\"]\n  7 -> 11 [size =\"7241728\"]\n  7 -> 12 [size =\"7241728\"]\n  7 -> 13 [size =\"7241728\"]\n  8 [size=\"20363264\", alpha=\"0.11\", expect_size=\"10181632\"] \n  8 -> 11 [size =\"10181632\"]\n  9 [size=\"44367872\", alpha=\"0.05\", expect_size=\"22183936\"] \n  9 -> 13 [size =\"22183936\"]\n  10 [size=\"76957696\", alpha=\"0.17\", expect_size=\"38478848\"] \n  10 -> 14 [size =\"38478848\"]\n  10 -> 16 [size =\"38478848\"]\n  11 [size=\"74041344\", alpha=\"0.12\", expect_size=\"37020672\"] \n  11 -> 16 [size =\"37020672\"]\n  12 [size=\"46069760\", alpha=\"0.06\", expect_size=\"23034880\"] \n  12 -> 15 [size =\"23034880\"]\n  12 -> 17 [size =\"23034880\"]\n  12 -> 18 [size =\"23034880\"]\n  13 [size=\"83697664\", alpha=\"0.02\", expect_size=\"41848832\"] \n  13 -> 15 [size =\"41848832\"]\n  13 -> 16 [size =\"41848832\"]\n  14 [size=\"49299456\", alpha=\"0.19\", expect_size=\"24649728\"] \n  14 -> 19 [size =\"24649728\"]\n  14 -> 20 [size =\"24649728\"]\n  14 -> 22 [size =\"24649728\"]\n  15 [size=\"77133824\", alpha=\"0.02\", expect_size=\"38566912\"] \n  15 -> 21 [size =\"38566912\"]\n  16 [size=\"16818176\", alpha=\"0.10\", expect_size=\"8409088\"] \n  16 -> 20 [size =\"8409088\"]\n  17 [size=\"86056960\", alpha=\"0.10\", expect_size=\"43028480\"] \n  17 -> 21 [size =\"43028480\"]\n  18 [size=\"68055040\", alpha=\"0.16\", expect_size=\"34027520\"] \n  18 -> 19 [size =\"34027520\"]\n  18 -> 22 [size =\"34027520\"]\n  19 [size=\"24401920\", alpha=\"0.08\", expect_size=\"12200960\"] \n  19 -> 26 [size =\"12200960\"]\n  20 [size=\"49285120\", alpha=\"0.04\", expect_size=\"24642560\"] \n  20 -> 24 [size =\"24642560\"]\n  20 -> 25 [size =\"24642560\"]\n  21 [size=\"33185792\", alpha=\"0.09\", expect_size=\"16592896\"] \n  22 [size=\"87674880\", alpha=\"0.08\", expect_size=\"43837440\"] \n  22 -> 23 [size =\"43837440\"]\n  22 -> 25 [size =\"43837440\"]\n  23 [size=\"23324672\", alpha=\"0.12\", expect_size=\"11662336\"] \n  23 -> 27 [size =\"11662336\"]\n  23 -> 29 [size =\"11662336\"]\n  24 [size=\"33146880\", alpha=\"0.05\", expect_size=\"16573440\"] \n  24 -> 30 [size =\"16573440\"]\n  24 -> 31 [size =\"16573440\"]\n  25 [size=\"29915136\", alpha=\"0.19\", expect_size=\"14957568\"] \n  25 -> 29 [size =\"14957568\"]\n  26 [size=\"39477248\", alpha=\"0.14\", expect_size=\"19738624\"] \n  26 -> 28 [size =\"19738624\"]\n  27 [size=\"85977088\", alpha=\"0.09\", expect_size=\"42988544\"] \n  27 -> 34 [size =\"42988544\"]\n  28 [size=\"39241728\", alpha=\"0.07\", expect_size=\"19620864\"] \n  28 -> 33 [size =\"19620864\"]\n  28 -> 34 [size =\"19620864\"]\n  29 [size=\"18159616\", alpha=\"0.12\", expect_size=\"9079808\"] \n  29 -> 32 [size =\"9079808\"]\n  29 -> 35 [size =\"9079808\"]\n  30 [size=\"54769664\", alpha=\"0.11\", expect_size=\"27384832\"] \n  31 [size=\"74250240\", alpha=\"0.04\", expect_size=\"37125120\"] \n  32 [size=\"21690368\", alpha=\"0.04\", expect_size=\"10845184\"] \n  33 [size=\"57792512\", alpha=\"0.20\", expect_size=\"28896256\"] \n  34 [size=\"21886976\", alpha=\"0.04\", expect_size=\"10943488\"] \n  35 [size=\"43909120\", alpha=\"0.02\", expect_size=\"21954560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74946560\", alpha=\"0.13\", expect_size=\"22483968\"] \n  1 -> 16 [size =\"22483968\"]\n  1 -> 16 [size =\"22483968\"]\n  1 -> 17 [size =\"22483968\"]\n  1 -> 18 [size =\"22483968\"]\n  1 -> 20 [size =\"22483968\"]\n  1 -> 24 [size =\"22483968\"]\n  2 [size=\"141168640\", alpha=\"0.11\", expect_size=\"42350592\"] \n  2 -> 18 [size =\"42350592\"]\n  2 -> 20 [size =\"42350592\"]\n  2 -> 21 [size =\"42350592\"]\n  2 -> 25 [size =\"42350592\"]\n  3 [size=\"82848427\", alpha=\"0.10\", expect_size=\"24854528\"] \n  3 -> 17 [size =\"24854528\"]\n  3 -> 18 [size =\"24854528\"]\n  3 -> 19 [size =\"24854528\"]\n  3 -> 23 [size =\"24854528\"]\n  4 [size=\"23958187\", alpha=\"0.16\", expect_size=\"7187456\"] \n  4 -> 18 [size =\"7187456\"]\n  4 -> 23 [size =\"7187456\"]\n  4 -> 25 [size =\"7187456\"]\n  5 [size=\"49329493\", alpha=\"0.18\", expect_size=\"14798848\"] \n  5 -> 19 [size =\"14798848\"]\n  5 -> 23 [size =\"14798848\"]\n  6 [size=\"134625280\", alpha=\"0.15\", expect_size=\"40387584\"] \n  6 -> 19 [size =\"40387584\"]\n  6 -> 20 [size =\"40387584\"]\n  6 -> 22 [size =\"40387584\"]\n  6 -> 23 [size =\"40387584\"]\n  7 [size=\"55214080\", alpha=\"0.06\", expect_size=\"16564224\"] \n  7 -> 19 [size =\"16564224\"]\n  7 -> 23 [size =\"16564224\"]\n  7 -> 24 [size =\"16564224\"]\n  8 [size=\"71826773\", alpha=\"0.09\", expect_size=\"21548032\"] \n  8 -> 16 [size =\"21548032\"]\n  8 -> 18 [size =\"21548032\"]\n  8 -> 19 [size =\"21548032\"]\n  8 -> 20 [size =\"21548032\"]\n  8 -> 23 [size =\"21548032\"]\n  8 -> 24 [size =\"21548032\"]\n  9 [size=\"158522027\", alpha=\"0.14\", expect_size=\"47556608\"] \n  9 -> 15 [size =\"47556608\"]\n  9 -> 16 [size =\"47556608\"]\n  9 -> 17 [size =\"47556608\"]\n  9 -> 20 [size =\"47556608\"]\n  9 -> 22 [size =\"47556608\"]\n  9 -> 23 [size =\"47556608\"]\n  10 [size=\"174148267\", alpha=\"0.06\", expect_size=\"52244480\"] \n  10 -> 17 [size =\"52244480\"]\n  10 -> 20 [size =\"52244480\"]\n  10 -> 25 [size =\"52244480\"]\n  11 [size=\"165167787\", alpha=\"0.00\", expect_size=\"49550336\"] \n  11 -> 16 [size =\"49550336\"]\n  11 -> 17 [size =\"49550336\"]\n  11 -> 18 [size =\"49550336\"]\n  11 -> 20 [size =\"49550336\"]\n  11 -> 23 [size =\"49550336\"]\n  12 [size=\"109578240\", alpha=\"0.01\", expect_size=\"32873472\"] \n  12 -> 16 [size =\"32873472\"]\n  12 -> 17 [size =\"32873472\"]\n  12 -> 18 [size =\"32873472\"]\n  12 -> 19 [size =\"32873472\"]\n  13 [size=\"35109547\", alpha=\"0.06\", expect_size=\"10532864\"] \n  13 -> 14 [size =\"10532864\"]\n  13 -> 16 [size =\"10532864\"]\n  13 -> 18 [size =\"10532864\"]\n  13 -> 19 [size =\"10532864\"]\n  13 -> 21 [size =\"10532864\"]\n  13 -> 24 [size =\"10532864\"]\n  14 [size=\"117445973\", alpha=\"0.16\", expect_size=\"35233792\"] \n  14 -> 29 [size =\"35233792\"]\n  15 [size=\"82387627\", alpha=\"0.06\", expect_size=\"24716288\"] \n  15 -> 31 [size =\"24716288\"]\n  16 [size=\"66839893\", alpha=\"0.18\", expect_size=\"20051968\"] \n  16 -> 31 [size =\"20051968\"]\n  16 -> 35 [size =\"20051968\"]\n  17 [size=\"24548693\", alpha=\"0.03\", expect_size=\"7364608\"] \n  17 -> 31 [size =\"7364608\"]\n  17 -> 32 [size =\"7364608\"]\n  17 -> 35 [size =\"7364608\"]\n  18 [size=\"68201813\", alpha=\"0.07\", expect_size=\"20460544\"] \n  18 -> 27 [size =\"20460544\"]\n  18 -> 28 [size =\"20460544\"]\n  18 -> 31 [size =\"20460544\"]\n  18 -> 32 [size =\"20460544\"]\n  18 -> 35 [size =\"20460544\"]\n  19 [size=\"139830613\", alpha=\"0.17\", expect_size=\"41949184\"] \n  19 -> 27 [size =\"41949184\"]\n  19 -> 30 [size =\"41949184\"]\n  19 -> 31 [size =\"41949184\"]\n  19 -> 33 [size =\"41949184\"]\n  19 -> 35 [size =\"41949184\"]\n  20 [size=\"96559787\", alpha=\"0.06\", expect_size=\"28967936\"] \n  20 -> 30 [size =\"28967936\"]\n  20 -> 30 [size =\"28967936\"]\n  20 -> 35 [size =\"28967936\"]\n  21 [size=\"144421547\", alpha=\"0.02\", expect_size=\"43326464\"] \n  21 -> 30 [size =\"43326464\"]\n  21 -> 31 [size =\"43326464\"]\n  21 -> 32 [size =\"43326464\"]\n  21 -> 33 [size =\"43326464\"]\n  22 [size=\"147012267\", alpha=\"0.13\", expect_size=\"44103680\"] \n  22 -> 29 [size =\"44103680\"]\n  22 -> 31 [size =\"44103680\"]\n  23 [size=\"158689280\", alpha=\"0.14\", expect_size=\"47606784\"] \n  23 -> 30 [size =\"47606784\"]\n  23 -> 34 [size =\"47606784\"]\n  23 -> 35 [size =\"47606784\"]\n  24 [size=\"47834453\", alpha=\"0.14\", expect_size=\"14350336\"] \n  24 -> 26 [size =\"14350336\"]\n  24 -> 27 [size =\"14350336\"]\n  24 -> 35 [size =\"14350336\"]\n  25 [size=\"172991147\", alpha=\"0.19\", expect_size=\"51897344\"] \n  25 -> 32 [size =\"51897344\"]\n  25 -> 33 [size =\"51897344\"]\n  26 [size=\"61706240\", alpha=\"0.19\", expect_size=\"18511872\"] \n  27 [size=\"47360000\", alpha=\"0.04\", expect_size=\"14208000\"] \n  28 [size=\"74519893\", alpha=\"0.15\", expect_size=\"22355968\"] \n  29 [size=\"131440640\", alpha=\"0.05\", expect_size=\"39432192\"] \n  30 [size=\"108243627\", alpha=\"0.14\", expect_size=\"32473088\"] \n  31 [size=\"153429333\", alpha=\"0.02\", expect_size=\"46028800\"] \n  32 [size=\"167185067\", alpha=\"0.02\", expect_size=\"50155520\"] \n  33 [size=\"115920213\", alpha=\"0.04\", expect_size=\"34776064\"] \n  34 [size=\"65010347\", alpha=\"0.19\", expect_size=\"19503104\"] \n  35 [size=\"20937387\", alpha=\"0.02\", expect_size=\"6281216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60344320\", alpha=\"0.03\", expect_size=\"30172160\"] \n  1 -> 2 [size =\"30172160\"]\n  2 [size=\"93990912\", alpha=\"0.14\", expect_size=\"46995456\"] \n  2 -> 3 [size =\"46995456\"]\n  2 -> 4 [size =\"46995456\"]\n  3 [size=\"44836864\", alpha=\"0.17\", expect_size=\"22418432\"] \n  4 [size=\"83271680\", alpha=\"0.17\", expect_size=\"41635840\"] \n  4 -> 5 [size =\"41635840\"]\n  5 [size=\"43839488\", alpha=\"0.07\", expect_size=\"21919744\"] \n  5 -> 6 [size =\"21919744\"]\n  5 -> 7 [size =\"21919744\"]\n  6 [size=\"10807296\", alpha=\"0.19\", expect_size=\"5403648\"] \n  7 [size=\"33675264\", alpha=\"0.06\", expect_size=\"16837632\"] \n  7 -> 8 [size =\"16837632\"]\n  8 [size=\"43757568\", alpha=\"0.18\", expect_size=\"21878784\"] \n  8 -> 9 [size =\"21878784\"]\n  8 -> 10 [size =\"21878784\"]\n  9 [size=\"30838784\", alpha=\"0.11\", expect_size=\"15419392\"] \n  9 -> 11 [size =\"15419392\"]\n  9 -> 12 [size =\"15419392\"]\n  10 [size=\"72708096\", alpha=\"0.18\", expect_size=\"36354048\"] \n  11 [size=\"41918464\", alpha=\"0.04\", expect_size=\"20959232\"] \n  12 [size=\"56340480\", alpha=\"0.10\", expect_size=\"28170240\"] \n  12 -> 13 [size =\"28170240\"]\n  13 [size=\"26286080\", alpha=\"0.15\", expect_size=\"13143040\"] \n  13 -> 14 [size =\"13143040\"]\n  13 -> 15 [size =\"13143040\"]\n  14 [size=\"11520000\", alpha=\"0.11\", expect_size=\"5760000\"] \n  15 [size=\"91781120\", alpha=\"0.09\", expect_size=\"45890560\"] \n  15 -> 16 [size =\"45890560\"]\n  16 [size=\"31449088\", alpha=\"0.09\", expect_size=\"15724544\"] \n  16 -> 17 [size =\"15724544\"]\n  17 [size=\"26531840\", alpha=\"0.17\", expect_size=\"13265920\"] \n  17 -> 18 [size =\"13265920\"]\n  18 [size=\"54327296\", alpha=\"0.19\", expect_size=\"27163648\"] \n  18 -> 19 [size =\"27163648\"]\n  19 [size=\"46770176\", alpha=\"0.01\", expect_size=\"23385088\"] \n  19 -> 20 [size =\"23385088\"]\n  19 -> 21 [size =\"23385088\"]\n  20 [size=\"99221504\", alpha=\"0.00\", expect_size=\"49610752\"] \n  21 [size=\"90738688\", alpha=\"0.10\", expect_size=\"45369344\"] \n  21 -> 22 [size =\"45369344\"]\n  21 -> 23 [size =\"45369344\"]\n  22 [size=\"17344512\", alpha=\"0.17\", expect_size=\"8672256\"] \n  22 -> 24 [size =\"8672256\"]\n  22 -> 25 [size =\"8672256\"]\n  23 [size=\"66357248\", alpha=\"0.12\", expect_size=\"33178624\"] \n  24 [size=\"43614208\", alpha=\"0.02\", expect_size=\"21807104\"] \n  24 -> 26 [size =\"21807104\"]\n  24 -> 27 [size =\"21807104\"]\n  25 [size=\"95471616\", alpha=\"0.19\", expect_size=\"47735808\"] \n  26 [size=\"41809920\", alpha=\"0.17\", expect_size=\"20904960\"] \n  27 [size=\"84705280\", alpha=\"0.19\", expect_size=\"42352640\"] \n  27 -> 28 [size =\"42352640\"]\n  27 -> 29 [size =\"42352640\"]\n  28 [size=\"68612096\", alpha=\"0.08\", expect_size=\"34306048\"] \n  29 [size=\"65787904\", alpha=\"0.02\", expect_size=\"32893952\"] \n  29 -> 30 [size =\"32893952\"]\n  30 [size=\"70187008\", alpha=\"0.09\", expect_size=\"35093504\"] \n  30 -> 31 [size =\"35093504\"]\n  30 -> 32 [size =\"35093504\"]\n  31 [size=\"70787072\", alpha=\"0.02\", expect_size=\"35393536\"] \n  32 [size=\"23074816\", alpha=\"0.05\", expect_size=\"11537408\"] \n  32 -> 33 [size =\"11537408\"]\n  33 [size=\"10557440\", alpha=\"0.12\", expect_size=\"5278720\"] \n  33 -> 34 [size =\"5278720\"]\n  33 -> 35 [size =\"5278720\"]\n  34 [size=\"67586048\", alpha=\"0.18\", expect_size=\"33793024\"] \n  35 [size=\"78204928\", alpha=\"0.02\", expect_size=\"39102464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32821760\", alpha=\"0.12\", expect_size=\"13128704\"] \n  1 -> 2 [size =\"13128704\"]\n  2 [size=\"119997440\", alpha=\"0.08\", expect_size=\"47998976\"] \n  2 -> 3 [size =\"47998976\"]\n  3 [size=\"32729600\", alpha=\"0.11\", expect_size=\"13091840\"] \n  3 -> 4 [size =\"13091840\"]\n  4 [size=\"57420800\", alpha=\"0.11\", expect_size=\"22968320\"] \n  4 -> 5 [size =\"22968320\"]\n  5 [size=\"83998720\", alpha=\"0.12\", expect_size=\"33599488\"] \n  5 -> 6 [size =\"33599488\"]\n  6 [size=\"115427840\", alpha=\"0.11\", expect_size=\"46171136\"] \n  6 -> 7 [size =\"46171136\"]\n  7 [size=\"65712640\", alpha=\"0.17\", expect_size=\"26285056\"] \n  7 -> 8 [size =\"26285056\"]\n  8 [size=\"78776320\", alpha=\"0.00\", expect_size=\"31510528\"] \n  8 -> 9 [size =\"31510528\"]\n  9 [size=\"121960960\", alpha=\"0.10\", expect_size=\"48784384\"] \n  9 -> 10 [size =\"48784384\"]\n  10 [size=\"32888320\", alpha=\"0.02\", expect_size=\"13155328\"] \n  10 -> 11 [size =\"13155328\"]\n  11 [size=\"79152640\", alpha=\"0.05\", expect_size=\"31661056\"] \n  11 -> 12 [size =\"31661056\"]\n  12 [size=\"34854400\", alpha=\"0.03\", expect_size=\"13941760\"] \n  12 -> 13 [size =\"13941760\"]\n  13 [size=\"79797760\", alpha=\"0.15\", expect_size=\"31919104\"] \n  13 -> 14 [size =\"31919104\"]\n  14 [size=\"24366080\", alpha=\"0.11\", expect_size=\"9746432\"] \n  14 -> 15 [size =\"9746432\"]\n  15 [size=\"92126720\", alpha=\"0.17\", expect_size=\"36850688\"] \n  15 -> 16 [size =\"36850688\"]\n  16 [size=\"44492800\", alpha=\"0.03\", expect_size=\"17797120\"] \n  16 -> 17 [size =\"17797120\"]\n  17 [size=\"110328320\", alpha=\"0.15\", expect_size=\"44131328\"] \n  17 -> 18 [size =\"44131328\"]\n  18 [size=\"90053120\", alpha=\"0.02\", expect_size=\"36021248\"] \n  18 -> 19 [size =\"36021248\"]\n  19 [size=\"91727360\", alpha=\"0.10\", expect_size=\"36690944\"] \n  19 -> 20 [size =\"36690944\"]\n  20 [size=\"30743040\", alpha=\"0.11\", expect_size=\"12297216\"] \n  20 -> 21 [size =\"12297216\"]\n  21 [size=\"43333120\", alpha=\"0.16\", expect_size=\"17333248\"] \n  21 -> 22 [size =\"17333248\"]\n  22 [size=\"74229760\", alpha=\"0.19\", expect_size=\"29691904\"] \n  22 -> 23 [size =\"29691904\"]\n  23 [size=\"93990400\", alpha=\"0.05\", expect_size=\"37596160\"] \n  23 -> 24 [size =\"37596160\"]\n  24 [size=\"64071680\", alpha=\"0.19\", expect_size=\"25628672\"] \n  24 -> 25 [size =\"25628672\"]\n  25 [size=\"13501440\", alpha=\"0.05\", expect_size=\"5400576\"] \n  25 -> 26 [size =\"5400576\"]\n  26 [size=\"114641920\", alpha=\"0.08\", expect_size=\"45856768\"] \n  26 -> 27 [size =\"45856768\"]\n  27 [size=\"16424960\", alpha=\"0.01\", expect_size=\"6569984\"] \n  27 -> 28 [size =\"6569984\"]\n  28 [size=\"104115200\", alpha=\"0.04\", expect_size=\"41646080\"] \n  28 -> 29 [size =\"41646080\"]\n  29 [size=\"118062080\", alpha=\"0.06\", expect_size=\"47224832\"] \n  29 -> 30 [size =\"47224832\"]\n  30 [size=\"56547840\", alpha=\"0.11\", expect_size=\"22619136\"] \n  30 -> 31 [size =\"22619136\"]\n  31 [size=\"122224640\", alpha=\"0.07\", expect_size=\"48889856\"] \n  31 -> 32 [size =\"48889856\"]\n  32 [size=\"98874880\", alpha=\"0.07\", expect_size=\"39549952\"] \n  32 -> 33 [size =\"39549952\"]\n  33 [size=\"93393920\", alpha=\"0.18\", expect_size=\"37357568\"] \n  33 -> 34 [size =\"37357568\"]\n  34 [size=\"125401600\", alpha=\"0.11\", expect_size=\"50160640\"] \n  34 -> 35 [size =\"50160640\"]\n  35 [size=\"121246720\", alpha=\"0.18\", expect_size=\"48498688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40747008\", alpha=\"0.09\", expect_size=\"20373504\"] \n  1 -> 11 [size =\"20373504\"]\n  1 -> 13 [size =\"20373504\"]\n  1 -> 14 [size =\"20373504\"]\n  1 -> 16 [size =\"20373504\"]\n  1 -> 17 [size =\"20373504\"]\n  1 -> 18 [size =\"20373504\"]\n  1 -> 19 [size =\"20373504\"]\n  2 [size=\"89108480\", alpha=\"0.09\", expect_size=\"44554240\"] \n  2 -> 8 [size =\"44554240\"]\n  2 -> 11 [size =\"44554240\"]\n  2 -> 12 [size =\"44554240\"]\n  2 -> 14 [size =\"44554240\"]\n  2 -> 16 [size =\"44554240\"]\n  2 -> 17 [size =\"44554240\"]\n  2 -> 19 [size =\"44554240\"]\n  3 [size=\"37296128\", alpha=\"0.19\", expect_size=\"18648064\"] \n  3 -> 8 [size =\"18648064\"]\n  3 -> 10 [size =\"18648064\"]\n  3 -> 11 [size =\"18648064\"]\n  3 -> 12 [size =\"18648064\"]\n  3 -> 14 [size =\"18648064\"]\n  3 -> 16 [size =\"18648064\"]\n  4 [size=\"87760896\", alpha=\"0.09\", expect_size=\"43880448\"] \n  4 -> 8 [size =\"43880448\"]\n  4 -> 11 [size =\"43880448\"]\n  4 -> 11 [size =\"43880448\"]\n  4 -> 12 [size =\"43880448\"]\n  4 -> 13 [size =\"43880448\"]\n  4 -> 14 [size =\"43880448\"]\n  4 -> 17 [size =\"43880448\"]\n  4 -> 18 [size =\"43880448\"]\n  4 -> 19 [size =\"43880448\"]\n  5 [size=\"66713600\", alpha=\"0.08\", expect_size=\"33356800\"] \n  5 -> 8 [size =\"33356800\"]\n  5 -> 10 [size =\"33356800\"]\n  5 -> 12 [size =\"33356800\"]\n  5 -> 12 [size =\"33356800\"]\n  5 -> 14 [size =\"33356800\"]\n  5 -> 15 [size =\"33356800\"]\n  5 -> 16 [size =\"33356800\"]\n  5 -> 17 [size =\"33356800\"]\n  5 -> 18 [size =\"33356800\"]\n  5 -> 19 [size =\"33356800\"]\n  6 [size=\"19826688\", alpha=\"0.12\", expect_size=\"9913344\"] \n  6 -> 9 [size =\"9913344\"]\n  6 -> 12 [size =\"9913344\"]\n  6 -> 14 [size =\"9913344\"]\n  6 -> 15 [size =\"9913344\"]\n  6 -> 18 [size =\"9913344\"]\n  6 -> 19 [size =\"9913344\"]\n  7 [size=\"57200640\", alpha=\"0.05\", expect_size=\"28600320\"] \n  7 -> 11 [size =\"28600320\"]\n  7 -> 16 [size =\"28600320\"]\n  7 -> 17 [size =\"28600320\"]\n  7 -> 18 [size =\"28600320\"]\n  7 -> 19 [size =\"28600320\"]\n  8 [size=\"18274304\", alpha=\"0.12\", expect_size=\"9137152\"] \n  8 -> 21 [size =\"9137152\"]\n  8 -> 24 [size =\"9137152\"]\n  8 -> 28 [size =\"9137152\"]\n  9 [size=\"16822272\", alpha=\"0.14\", expect_size=\"8411136\"] \n  9 -> 22 [size =\"8411136\"]\n  9 -> 24 [size =\"8411136\"]\n  9 -> 25 [size =\"8411136\"]\n  9 -> 28 [size =\"8411136\"]\n  10 [size=\"26165248\", alpha=\"0.20\", expect_size=\"13082624\"] \n  10 -> 25 [size =\"13082624\"]\n  10 -> 28 [size =\"13082624\"]\n  11 [size=\"100868096\", alpha=\"0.09\", expect_size=\"50434048\"] \n  11 -> 24 [size =\"50434048\"]\n  11 -> 25 [size =\"50434048\"]\n  11 -> 28 [size =\"50434048\"]\n  12 [size=\"49840128\", alpha=\"0.17\", expect_size=\"24920064\"] \n  12 -> 20 [size =\"24920064\"]\n  12 -> 21 [size =\"24920064\"]\n  12 -> 23 [size =\"24920064\"]\n  12 -> 25 [size =\"24920064\"]\n  12 -> 27 [size =\"24920064\"]\n  12 -> 28 [size =\"24920064\"]\n  13 [size=\"90589184\", alpha=\"0.07\", expect_size=\"45294592\"] \n  13 -> 20 [size =\"45294592\"]\n  13 -> 21 [size =\"45294592\"]\n  13 -> 24 [size =\"45294592\"]\n  13 -> 25 [size =\"45294592\"]\n  13 -> 28 [size =\"45294592\"]\n  14 [size=\"86708224\", alpha=\"0.11\", expect_size=\"43354112\"] \n  14 -> 20 [size =\"43354112\"]\n  14 -> 25 [size =\"43354112\"]\n  14 -> 28 [size =\"43354112\"]\n  15 [size=\"36894720\", alpha=\"0.11\", expect_size=\"18447360\"] \n  15 -> 22 [size =\"18447360\"]\n  16 [size=\"76392448\", alpha=\"0.05\", expect_size=\"38196224\"] \n  16 -> 22 [size =\"38196224\"]\n  16 -> 24 [size =\"38196224\"]\n  16 -> 25 [size =\"38196224\"]\n  16 -> 26 [size =\"38196224\"]\n  16 -> 27 [size =\"38196224\"]\n  16 -> 28 [size =\"38196224\"]\n  17 [size=\"37013504\", alpha=\"0.05\", expect_size=\"18506752\"] \n  17 -> 21 [size =\"18506752\"]\n  17 -> 22 [size =\"18506752\"]\n  17 -> 24 [size =\"18506752\"]\n  17 -> 25 [size =\"18506752\"]\n  17 -> 28 [size =\"18506752\"]\n  18 [size=\"60037120\", alpha=\"0.20\", expect_size=\"30018560\"] \n  18 -> 22 [size =\"30018560\"]\n  18 -> 24 [size =\"30018560\"]\n  18 -> 25 [size =\"30018560\"]\n  18 -> 26 [size =\"30018560\"]\n  18 -> 28 [size =\"30018560\"]\n  19 [size=\"21772288\", alpha=\"0.02\", expect_size=\"10886144\"] \n  19 -> 21 [size =\"10886144\"]\n  19 -> 22 [size =\"10886144\"]\n  19 -> 24 [size =\"10886144\"]\n  19 -> 26 [size =\"10886144\"]\n  20 [size=\"89866240\", alpha=\"0.16\", expect_size=\"44933120\"] \n  20 -> 31 [size =\"44933120\"]\n  20 -> 32 [size =\"44933120\"]\n  20 -> 33 [size =\"44933120\"]\n  20 -> 34 [size =\"44933120\"]\n  20 -> 35 [size =\"44933120\"]\n  21 [size=\"88489984\", alpha=\"0.16\", expect_size=\"44244992\"] \n  21 -> 30 [size =\"44244992\"]\n  21 -> 31 [size =\"44244992\"]\n  21 -> 32 [size =\"44244992\"]\n  21 -> 33 [size =\"44244992\"]\n  21 -> 34 [size =\"44244992\"]\n  22 [size=\"37797888\", alpha=\"0.13\", expect_size=\"18898944\"] \n  22 -> 30 [size =\"18898944\"]\n  22 -> 31 [size =\"18898944\"]\n  22 -> 32 [size =\"18898944\"]\n  22 -> 33 [size =\"18898944\"]\n  22 -> 34 [size =\"18898944\"]\n  23 [size=\"21686272\", alpha=\"0.16\", expect_size=\"10843136\"] \n  23 -> 33 [size =\"10843136\"]\n  23 -> 34 [size =\"10843136\"]\n  23 -> 35 [size =\"10843136\"]\n  24 [size=\"53037056\", alpha=\"0.15\", expect_size=\"26518528\"] \n  24 -> 32 [size =\"26518528\"]\n  24 -> 33 [size =\"26518528\"]\n  24 -> 34 [size =\"26518528\"]\n  24 -> 35 [size =\"26518528\"]\n  25 [size=\"12308480\", alpha=\"0.06\", expect_size=\"6154240\"] \n  25 -> 30 [size =\"6154240\"]\n  25 -> 32 [size =\"6154240\"]\n  25 -> 33 [size =\"6154240\"]\n  25 -> 34 [size =\"6154240\"]\n  25 -> 35 [size =\"6154240\"]\n  26 [size=\"65744896\", alpha=\"0.19\", expect_size=\"32872448\"] \n  26 -> 30 [size =\"32872448\"]\n  26 -> 31 [size =\"32872448\"]\n  26 -> 32 [size =\"32872448\"]\n  26 -> 33 [size =\"32872448\"]\n  26 -> 35 [size =\"32872448\"]\n  27 [size=\"88811520\", alpha=\"0.01\", expect_size=\"44405760\"] \n  27 -> 30 [size =\"44405760\"]\n  27 -> 31 [size =\"44405760\"]\n  27 -> 32 [size =\"44405760\"]\n  27 -> 33 [size =\"44405760\"]\n  27 -> 34 [size =\"44405760\"]\n  27 -> 35 [size =\"44405760\"]\n  28 [size=\"19333120\", alpha=\"0.06\", expect_size=\"9666560\"] \n  28 -> 29 [size =\"9666560\"]\n  28 -> 30 [size =\"9666560\"]\n  28 -> 31 [size =\"9666560\"]\n  28 -> 32 [size =\"9666560\"]\n  28 -> 33 [size =\"9666560\"]\n  28 -> 34 [size =\"9666560\"]\n  28 -> 35 [size =\"9666560\"]\n  29 [size=\"18903040\", alpha=\"0.11\", expect_size=\"9451520\"] \n  30 [size=\"30611456\", alpha=\"0.00\", expect_size=\"15305728\"] \n  31 [size=\"13074432\", alpha=\"0.09\", expect_size=\"6537216\"] \n  32 [size=\"90927104\", alpha=\"0.05\", expect_size=\"45463552\"] \n  33 [size=\"59676672\", alpha=\"0.19\", expect_size=\"29838336\"] \n  34 [size=\"40507392\", alpha=\"0.08\", expect_size=\"20253696\"] \n  35 [size=\"16322560\", alpha=\"0.04\", expect_size=\"8161280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42926080\", alpha=\"0.11\", expect_size=\"17170432\"] \n  1 -> 3 [size =\"17170432\"]\n  1 -> 4 [size =\"17170432\"]\n  2 [size=\"88691200\", alpha=\"0.15\", expect_size=\"35476480\"] \n  3 [size=\"100858880\", alpha=\"0.11\", expect_size=\"40343552\"] \n  4 [size=\"87326720\", alpha=\"0.20\", expect_size=\"34930688\"] \n  4 -> 5 [size =\"34930688\"]\n  4 -> 6 [size =\"34930688\"]\n  5 [size=\"109263360\", alpha=\"0.03\", expect_size=\"43705344\"] \n  5 -> 7 [size =\"43705344\"]\n  6 [size=\"99809280\", alpha=\"0.05\", expect_size=\"39923712\"] \n  7 [size=\"17126400\", alpha=\"0.00\", expect_size=\"6850560\"] \n  7 -> 8 [size =\"6850560\"]\n  8 [size=\"125381120\", alpha=\"0.18\", expect_size=\"50152448\"] \n  8 -> 9 [size =\"50152448\"]\n  9 [size=\"119887360\", alpha=\"0.14\", expect_size=\"47954944\"] \n  9 -> 10 [size =\"47954944\"]\n  10 [size=\"50995200\", alpha=\"0.18\", expect_size=\"20398080\"] \n  10 -> 11 [size =\"20398080\"]\n  10 -> 12 [size =\"20398080\"]\n  11 [size=\"38336000\", alpha=\"0.12\", expect_size=\"15334400\"] \n  12 [size=\"101048320\", alpha=\"0.11\", expect_size=\"40419328\"] \n  12 -> 13 [size =\"40419328\"]\n  13 [size=\"70471680\", alpha=\"0.10\", expect_size=\"28188672\"] \n  13 -> 14 [size =\"28188672\"]\n  14 [size=\"17884160\", alpha=\"0.06\", expect_size=\"7153664\"] \n  14 -> 15 [size =\"7153664\"]\n  15 [size=\"15905280\", alpha=\"0.10\", expect_size=\"6362112\"] \n  15 -> 16 [size =\"6362112\"]\n  15 -> 17 [size =\"6362112\"]\n  16 [size=\"34913280\", alpha=\"0.04\", expect_size=\"13965312\"] \n  16 -> 19 [size =\"13965312\"]\n  17 [size=\"65377280\", alpha=\"0.15\", expect_size=\"26150912\"] \n  17 -> 18 [size =\"26150912\"]\n  18 [size=\"67133440\", alpha=\"0.19\", expect_size=\"26853376\"] \n  18 -> 21 [size =\"26853376\"]\n  19 [size=\"55395840\", alpha=\"0.14\", expect_size=\"22158336\"] \n  19 -> 20 [size =\"22158336\"]\n  20 [size=\"19845120\", alpha=\"0.16\", expect_size=\"7938048\"] \n  20 -> 22 [size =\"7938048\"]\n  20 -> 23 [size =\"7938048\"]\n  21 [size=\"123852800\", alpha=\"0.02\", expect_size=\"49541120\"] \n  22 [size=\"73740800\", alpha=\"0.01\", expect_size=\"29496320\"] \n  23 [size=\"20561920\", alpha=\"0.15\", expect_size=\"8224768\"] \n  23 -> 24 [size =\"8224768\"]\n  23 -> 25 [size =\"8224768\"]\n  24 [size=\"78254080\", alpha=\"0.02\", expect_size=\"31301632\"] \n  24 -> 26 [size =\"31301632\"]\n  24 -> 27 [size =\"31301632\"]\n  25 [size=\"113093120\", alpha=\"0.05\", expect_size=\"45237248\"] \n  26 [size=\"56176640\", alpha=\"0.03\", expect_size=\"22470656\"] \n  26 -> 28 [size =\"22470656\"]\n  27 [size=\"81333760\", alpha=\"0.01\", expect_size=\"32533504\"] \n  27 -> 29 [size =\"32533504\"]\n  28 [size=\"49630720\", alpha=\"0.19\", expect_size=\"19852288\"] \n  28 -> 31 [size =\"19852288\"]\n  29 [size=\"45312000\", alpha=\"0.14\", expect_size=\"18124800\"] \n  29 -> 30 [size =\"18124800\"]\n  30 [size=\"129720320\", alpha=\"0.16\", expect_size=\"51888128\"] \n  31 [size=\"104143360\", alpha=\"0.02\", expect_size=\"41657344\"] \n  31 -> 32 [size =\"41657344\"]\n  32 [size=\"116362240\", alpha=\"0.03\", expect_size=\"46544896\"] \n  32 -> 33 [size =\"46544896\"]\n  33 [size=\"124001280\", alpha=\"0.14\", expect_size=\"49600512\"] \n  33 -> 34 [size =\"49600512\"]\n  34 [size=\"96844800\", alpha=\"0.06\", expect_size=\"38737920\"] \n  34 -> 35 [size =\"38737920\"]\n  35 [size=\"109120000\", alpha=\"0.18\", expect_size=\"43648000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106837333\", alpha=\"0.17\", expect_size=\"32051200\"] \n  1 -> 13 [size =\"32051200\"]\n  1 -> 15 [size =\"32051200\"]\n  1 -> 16 [size =\"32051200\"]\n  1 -> 17 [size =\"32051200\"]\n  1 -> 19 [size =\"32051200\"]\n  1 -> 20 [size =\"32051200\"]\n  1 -> 22 [size =\"32051200\"]\n  2 [size=\"80162133\", alpha=\"0.02\", expect_size=\"24048640\"] \n  2 -> 13 [size =\"24048640\"]\n  2 -> 14 [size =\"24048640\"]\n  2 -> 15 [size =\"24048640\"]\n  2 -> 16 [size =\"24048640\"]\n  2 -> 20 [size =\"24048640\"]\n  2 -> 22 [size =\"24048640\"]\n  3 [size=\"137738240\", alpha=\"0.13\", expect_size=\"41321472\"] \n  3 -> 13 [size =\"41321472\"]\n  3 -> 14 [size =\"41321472\"]\n  3 -> 16 [size =\"41321472\"]\n  3 -> 20 [size =\"41321472\"]\n  3 -> 21 [size =\"41321472\"]\n  3 -> 22 [size =\"41321472\"]\n  3 -> 23 [size =\"41321472\"]\n  4 [size=\"105079467\", alpha=\"0.14\", expect_size=\"31523840\"] \n  4 -> 13 [size =\"31523840\"]\n  4 -> 16 [size =\"31523840\"]\n  4 -> 21 [size =\"31523840\"]\n  5 [size=\"64996693\", alpha=\"0.11\", expect_size=\"19499008\"] \n  5 -> 15 [size =\"19499008\"]\n  5 -> 18 [size =\"19499008\"]\n  5 -> 19 [size =\"19499008\"]\n  5 -> 21 [size =\"19499008\"]\n  6 [size=\"124644693\", alpha=\"0.09\", expect_size=\"37393408\"] \n  6 -> 17 [size =\"37393408\"]\n  6 -> 18 [size =\"37393408\"]\n  7 [size=\"62754133\", alpha=\"0.10\", expect_size=\"18826240\"] \n  7 -> 13 [size =\"18826240\"]\n  7 -> 21 [size =\"18826240\"]\n  8 [size=\"40854187\", alpha=\"0.11\", expect_size=\"12256256\"] \n  8 -> 13 [size =\"12256256\"]\n  8 -> 17 [size =\"12256256\"]\n  9 [size=\"152835413\", alpha=\"0.18\", expect_size=\"45850624\"] \n  9 -> 14 [size =\"45850624\"]\n  9 -> 16 [size =\"45850624\"]\n  9 -> 21 [size =\"45850624\"]\n  10 [size=\"43772587\", alpha=\"0.02\", expect_size=\"13131776\"] \n  10 -> 13 [size =\"13131776\"]\n  10 -> 14 [size =\"13131776\"]\n  10 -> 18 [size =\"13131776\"]\n  10 -> 19 [size =\"13131776\"]\n  11 [size=\"39307947\", alpha=\"0.03\", expect_size=\"11792384\"] \n  11 -> 15 [size =\"11792384\"]\n  11 -> 16 [size =\"11792384\"]\n  11 -> 20 [size =\"11792384\"]\n  11 -> 21 [size =\"11792384\"]\n  11 -> 22 [size =\"11792384\"]\n  12 [size=\"174206293\", alpha=\"0.13\", expect_size=\"52261888\"] \n  12 -> 14 [size =\"52261888\"]\n  12 -> 15 [size =\"52261888\"]\n  12 -> 16 [size =\"52261888\"]\n  12 -> 18 [size =\"52261888\"]\n  12 -> 21 [size =\"52261888\"]\n  12 -> 22 [size =\"52261888\"]\n  13 [size=\"30303573\", alpha=\"0.20\", expect_size=\"9091072\"] \n  13 -> 24 [size =\"9091072\"]\n  13 -> 27 [size =\"9091072\"]\n  13 -> 29 [size =\"9091072\"]\n  13 -> 31 [size =\"9091072\"]\n  13 -> 32 [size =\"9091072\"]\n  13 -> 34 [size =\"9091072\"]\n  13 -> 35 [size =\"9091072\"]\n  14 [size=\"132085760\", alpha=\"0.10\", expect_size=\"39625728\"] \n  14 -> 26 [size =\"39625728\"]\n  14 -> 28 [size =\"39625728\"]\n  15 [size=\"84746240\", alpha=\"0.17\", expect_size=\"25423872\"] \n  15 -> 24 [size =\"25423872\"]\n  15 -> 26 [size =\"25423872\"]\n  15 -> 32 [size =\"25423872\"]\n  15 -> 35 [size =\"25423872\"]\n  16 [size=\"171438080\", alpha=\"0.01\", expect_size=\"51431424\"] \n  16 -> 24 [size =\"51431424\"]\n  16 -> 25 [size =\"51431424\"]\n  16 -> 26 [size =\"51431424\"]\n  16 -> 31 [size =\"51431424\"]\n  16 -> 34 [size =\"51431424\"]\n  17 [size=\"87104853\", alpha=\"0.17\", expect_size=\"26131456\"] \n  17 -> 24 [size =\"26131456\"]\n  17 -> 26 [size =\"26131456\"]\n  17 -> 31 [size =\"26131456\"]\n  17 -> 32 [size =\"26131456\"]\n  18 [size=\"165734400\", alpha=\"0.17\", expect_size=\"49720320\"] \n  18 -> 24 [size =\"49720320\"]\n  18 -> 29 [size =\"49720320\"]\n  19 [size=\"97580373\", alpha=\"0.16\", expect_size=\"29274112\"] \n  19 -> 26 [size =\"29274112\"]\n  19 -> 29 [size =\"29274112\"]\n  19 -> 35 [size =\"29274112\"]\n  20 [size=\"78670507\", alpha=\"0.05\", expect_size=\"23601152\"] \n  20 -> 25 [size =\"23601152\"]\n  20 -> 35 [size =\"23601152\"]\n  20 -> 35 [size =\"23601152\"]\n  21 [size=\"93334187\", alpha=\"0.06\", expect_size=\"28000256\"] \n  21 -> 25 [size =\"28000256\"]\n  21 -> 27 [size =\"28000256\"]\n  21 -> 28 [size =\"28000256\"]\n  22 [size=\"116862293\", alpha=\"0.14\", expect_size=\"35058688\"] \n  22 -> 24 [size =\"35058688\"]\n  22 -> 25 [size =\"35058688\"]\n  22 -> 26 [size =\"35058688\"]\n  22 -> 30 [size =\"35058688\"]\n  22 -> 31 [size =\"35058688\"]\n  22 -> 32 [size =\"35058688\"]\n  23 [size=\"63706453\", alpha=\"0.18\", expect_size=\"19111936\"] \n  23 -> 25 [size =\"19111936\"]\n  23 -> 25 [size =\"19111936\"]\n  23 -> 26 [size =\"19111936\"]\n  23 -> 27 [size =\"19111936\"]\n  23 -> 29 [size =\"19111936\"]\n  23 -> 33 [size =\"19111936\"]\n  23 -> 35 [size =\"19111936\"]\n  24 [size=\"61020160\", alpha=\"0.13\", expect_size=\"18306048\"] \n  25 [size=\"140789760\", alpha=\"0.14\", expect_size=\"42236928\"] \n  26 [size=\"113578667\", alpha=\"0.08\", expect_size=\"34073600\"] \n  27 [size=\"124573013\", alpha=\"0.09\", expect_size=\"37371904\"] \n  28 [size=\"104349013\", alpha=\"0.12\", expect_size=\"31304704\"] \n  29 [size=\"83056640\", alpha=\"0.13\", expect_size=\"24916992\"] \n  30 [size=\"50503680\", alpha=\"0.16\", expect_size=\"15151104\"] \n  31 [size=\"89961813\", alpha=\"0.03\", expect_size=\"26988544\"] \n  32 [size=\"133505707\", alpha=\"0.10\", expect_size=\"40051712\"] \n  33 [size=\"86538240\", alpha=\"0.18\", expect_size=\"25961472\"] \n  34 [size=\"69324800\", alpha=\"0.01\", expect_size=\"20797440\"] \n  35 [size=\"169472000\", alpha=\"0.12\", expect_size=\"50841600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118862507\", alpha=\"0.17\", expect_size=\"35658752\"] \n  1 -> 3 [size =\"35658752\"]\n  1 -> 4 [size =\"35658752\"]\n  2 [size=\"95832747\", alpha=\"0.07\", expect_size=\"28749824\"] \n  2 -> 3 [size =\"28749824\"]\n  2 -> 4 [size =\"28749824\"]\n  3 [size=\"18124800\", alpha=\"0.09\", expect_size=\"5437440\"] \n  3 -> 5 [size =\"5437440\"]\n  3 -> 6 [size =\"5437440\"]\n  4 [size=\"172404053\", alpha=\"0.04\", expect_size=\"51721216\"] \n  4 -> 6 [size =\"51721216\"]\n  5 [size=\"107134293\", alpha=\"0.07\", expect_size=\"32140288\"] \n  5 -> 7 [size =\"32140288\"]\n  6 [size=\"61532160\", alpha=\"0.08\", expect_size=\"18459648\"] \n  6 -> 7 [size =\"18459648\"]\n  7 [size=\"48998400\", alpha=\"0.20\", expect_size=\"14699520\"] \n  7 -> 8 [size =\"14699520\"]\n  8 [size=\"120357547\", alpha=\"0.15\", expect_size=\"36107264\"] \n  8 -> 9 [size =\"36107264\"]\n  8 -> 10 [size =\"36107264\"]\n  9 [size=\"114715307\", alpha=\"0.01\", expect_size=\"34414592\"] \n  9 -> 11 [size =\"34414592\"]\n  9 -> 12 [size =\"34414592\"]\n  10 [size=\"97068373\", alpha=\"0.12\", expect_size=\"29120512\"] \n  10 -> 11 [size =\"29120512\"]\n  10 -> 12 [size =\"29120512\"]\n  11 [size=\"91289600\", alpha=\"0.16\", expect_size=\"27386880\"] \n  11 -> 13 [size =\"27386880\"]\n  12 [size=\"68283733\", alpha=\"0.11\", expect_size=\"20485120\"] \n  12 -> 13 [size =\"20485120\"]\n  13 [size=\"125904213\", alpha=\"0.08\", expect_size=\"37771264\"] \n  13 -> 14 [size =\"37771264\"]\n  13 -> 15 [size =\"37771264\"]\n  14 [size=\"39249920\", alpha=\"0.17\", expect_size=\"11774976\"] \n  14 -> 16 [size =\"11774976\"]\n  15 [size=\"69464747\", alpha=\"0.12\", expect_size=\"20839424\"] \n  15 -> 16 [size =\"20839424\"]\n  16 [size=\"127675733\", alpha=\"0.04\", expect_size=\"38302720\"] \n  16 -> 17 [size =\"38302720\"]\n  16 -> 18 [size =\"38302720\"]\n  17 [size=\"36020907\", alpha=\"0.01\", expect_size=\"10806272\"] \n  17 -> 19 [size =\"10806272\"]\n  18 [size=\"33979733\", alpha=\"0.15\", expect_size=\"10193920\"] \n  18 -> 19 [size =\"10193920\"]\n  19 [size=\"153873067\", alpha=\"0.08\", expect_size=\"46161920\"] \n  19 -> 20 [size =\"46161920\"]\n  19 -> 21 [size =\"46161920\"]\n  20 [size=\"158935040\", alpha=\"0.19\", expect_size=\"47680512\"] \n  20 -> 22 [size =\"47680512\"]\n  20 -> 23 [size =\"47680512\"]\n  21 [size=\"94648320\", alpha=\"0.02\", expect_size=\"28394496\"] \n  21 -> 22 [size =\"28394496\"]\n  21 -> 23 [size =\"28394496\"]\n  22 [size=\"63276373\", alpha=\"0.16\", expect_size=\"18982912\"] \n  22 -> 24 [size =\"18982912\"]\n  22 -> 25 [size =\"18982912\"]\n  23 [size=\"149005653\", alpha=\"0.09\", expect_size=\"44701696\"] \n  23 -> 24 [size =\"44701696\"]\n  23 -> 25 [size =\"44701696\"]\n  24 [size=\"51101013\", alpha=\"0.03\", expect_size=\"15330304\"] \n  24 -> 26 [size =\"15330304\"]\n  24 -> 27 [size =\"15330304\"]\n  25 [size=\"24046933\", alpha=\"0.07\", expect_size=\"7214080\"] \n  25 -> 26 [size =\"7214080\"]\n  26 [size=\"121460053\", alpha=\"0.18\", expect_size=\"36438016\"] \n  26 -> 28 [size =\"36438016\"]\n  27 [size=\"154910720\", alpha=\"0.12\", expect_size=\"46473216\"] \n  27 -> 28 [size =\"46473216\"]\n  28 [size=\"163416747\", alpha=\"0.20\", expect_size=\"49025024\"] \n  28 -> 29 [size =\"49025024\"]\n  28 -> 30 [size =\"49025024\"]\n  29 [size=\"126313813\", alpha=\"0.19\", expect_size=\"37894144\"] \n  29 -> 32 [size =\"37894144\"]\n  30 [size=\"31440213\", alpha=\"0.09\", expect_size=\"9432064\"] \n  30 -> 31 [size =\"9432064\"]\n  31 [size=\"20640427\", alpha=\"0.09\", expect_size=\"6192128\"] \n  31 -> 33 [size =\"6192128\"]\n  31 -> 34 [size =\"6192128\"]\n  32 [size=\"38021120\", alpha=\"0.14\", expect_size=\"11406336\"] \n  32 -> 33 [size =\"11406336\"]\n  33 [size=\"161931947\", alpha=\"0.14\", expect_size=\"48579584\"] \n  33 -> 35 [size =\"48579584\"]\n  34 [size=\"78458880\", alpha=\"0.16\", expect_size=\"23537664\"] \n  35 [size=\"99812693\", alpha=\"0.05\", expect_size=\"29943808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68700160\", alpha=\"0.04\", expect_size=\"27480064\"] \n  1 -> 2 [size =\"27480064\"]\n  2 [size=\"21693440\", alpha=\"0.13\", expect_size=\"8677376\"] \n  2 -> 3 [size =\"8677376\"]\n  3 [size=\"61642240\", alpha=\"0.10\", expect_size=\"24656896\"] \n  3 -> 4 [size =\"24656896\"]\n  4 [size=\"76590080\", alpha=\"0.15\", expect_size=\"30636032\"] \n  4 -> 5 [size =\"30636032\"]\n  5 [size=\"39083520\", alpha=\"0.06\", expect_size=\"15633408\"] \n  5 -> 6 [size =\"15633408\"]\n  6 [size=\"46858240\", alpha=\"0.14\", expect_size=\"18743296\"] \n  6 -> 7 [size =\"18743296\"]\n  7 [size=\"130252800\", alpha=\"0.07\", expect_size=\"52101120\"] \n  7 -> 8 [size =\"52101120\"]\n  8 [size=\"65658880\", alpha=\"0.02\", expect_size=\"26263552\"] \n  8 -> 9 [size =\"26263552\"]\n  9 [size=\"20264960\", alpha=\"0.10\", expect_size=\"8105984\"] \n  9 -> 10 [size =\"8105984\"]\n  10 [size=\"122055680\", alpha=\"0.20\", expect_size=\"48822272\"] \n  10 -> 11 [size =\"48822272\"]\n  11 [size=\"71731200\", alpha=\"0.16\", expect_size=\"28692480\"] \n  11 -> 12 [size =\"28692480\"]\n  12 [size=\"94942720\", alpha=\"0.06\", expect_size=\"37977088\"] \n  12 -> 13 [size =\"37977088\"]\n  13 [size=\"51809280\", alpha=\"0.05\", expect_size=\"20723712\"] \n  13 -> 14 [size =\"20723712\"]\n  14 [size=\"110630400\", alpha=\"0.18\", expect_size=\"44252160\"] \n  14 -> 15 [size =\"44252160\"]\n  15 [size=\"78297600\", alpha=\"0.13\", expect_size=\"31319040\"] \n  15 -> 16 [size =\"31319040\"]\n  16 [size=\"113815040\", alpha=\"0.10\", expect_size=\"45526016\"] \n  16 -> 17 [size =\"45526016\"]\n  17 [size=\"79196160\", alpha=\"0.12\", expect_size=\"31678464\"] \n  17 -> 18 [size =\"31678464\"]\n  18 [size=\"117578240\", alpha=\"0.03\", expect_size=\"47031296\"] \n  18 -> 19 [size =\"47031296\"]\n  19 [size=\"128215040\", alpha=\"0.15\", expect_size=\"51286016\"] \n  19 -> 20 [size =\"51286016\"]\n  20 [size=\"69818880\", alpha=\"0.18\", expect_size=\"27927552\"] \n  20 -> 21 [size =\"27927552\"]\n  21 [size=\"69724160\", alpha=\"0.10\", expect_size=\"27889664\"] \n  21 -> 22 [size =\"27889664\"]\n  22 [size=\"45593600\", alpha=\"0.04\", expect_size=\"18237440\"] \n  22 -> 23 [size =\"18237440\"]\n  23 [size=\"79879680\", alpha=\"0.06\", expect_size=\"31951872\"] \n  23 -> 24 [size =\"31951872\"]\n  24 [size=\"110520320\", alpha=\"0.18\", expect_size=\"44208128\"] \n  24 -> 25 [size =\"44208128\"]\n  25 [size=\"100385280\", alpha=\"0.15\", expect_size=\"40154112\"] \n  25 -> 26 [size =\"40154112\"]\n  26 [size=\"59230720\", alpha=\"0.18\", expect_size=\"23692288\"] \n  26 -> 27 [size =\"23692288\"]\n  27 [size=\"118154240\", alpha=\"0.01\", expect_size=\"47261696\"] \n  27 -> 28 [size =\"47261696\"]\n  28 [size=\"70090240\", alpha=\"0.12\", expect_size=\"28036096\"] \n  28 -> 29 [size =\"28036096\"]\n  29 [size=\"90606080\", alpha=\"0.05\", expect_size=\"36242432\"] \n  29 -> 30 [size =\"36242432\"]\n  30 [size=\"62791680\", alpha=\"0.16\", expect_size=\"25116672\"] \n  30 -> 31 [size =\"25116672\"]\n  31 [size=\"51266560\", alpha=\"0.17\", expect_size=\"20506624\"] \n  31 -> 32 [size =\"20506624\"]\n  32 [size=\"111628800\", alpha=\"0.13\", expect_size=\"44651520\"] \n  32 -> 33 [size =\"44651520\"]\n  33 [size=\"16535040\", alpha=\"0.14\", expect_size=\"6614016\"] \n  33 -> 34 [size =\"6614016\"]\n  34 [size=\"50449920\", alpha=\"0.12\", expect_size=\"20179968\"] \n  34 -> 35 [size =\"20179968\"]\n  35 [size=\"40929280\", alpha=\"0.01\", expect_size=\"16371712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74805248\", alpha=\"0.16\", expect_size=\"37402624\"] \n  1 -> 35 [size =\"37402624\"]\n  2 [size=\"80314368\", alpha=\"0.14\", expect_size=\"40157184\"] \n  2 -> 34 [size =\"40157184\"]\n  2 -> 35 [size =\"40157184\"]\n  3 [size=\"39323648\", alpha=\"0.07\", expect_size=\"19661824\"] \n  3 -> 31 [size =\"19661824\"]\n  3 -> 34 [size =\"19661824\"]\n  3 -> 35 [size =\"19661824\"]\n  4 [size=\"85284864\", alpha=\"0.05\", expect_size=\"42642432\"] \n  4 -> 32 [size =\"42642432\"]\n  4 -> 35 [size =\"42642432\"]\n  5 [size=\"73011200\", alpha=\"0.01\", expect_size=\"36505600\"] \n  5 -> 34 [size =\"36505600\"]\n  6 [size=\"67518464\", alpha=\"0.08\", expect_size=\"33759232\"] \n  7 [size=\"33902592\", alpha=\"0.12\", expect_size=\"16951296\"] \n  7 -> 33 [size =\"16951296\"]\n  7 -> 34 [size =\"16951296\"]\n  7 -> 35 [size =\"16951296\"]\n  8 [size=\"102758400\", alpha=\"0.18\", expect_size=\"51379200\"] \n  8 -> 35 [size =\"51379200\"]\n  9 [size=\"95162368\", alpha=\"0.06\", expect_size=\"47581184\"] \n  9 -> 35 [size =\"47581184\"]\n  10 [size=\"22226944\", alpha=\"0.05\", expect_size=\"11113472\"] \n  10 -> 31 [size =\"11113472\"]\n  10 -> 34 [size =\"11113472\"]\n  11 [size=\"56496128\", alpha=\"0.02\", expect_size=\"28248064\"] \n  11 -> 31 [size =\"28248064\"]\n  12 [size=\"36618240\", alpha=\"0.09\", expect_size=\"18309120\"] \n  12 -> 31 [size =\"18309120\"]\n  12 -> 34 [size =\"18309120\"]\n  13 [size=\"101642240\", alpha=\"0.01\", expect_size=\"50821120\"] \n  13 -> 31 [size =\"50821120\"]\n  13 -> 32 [size =\"50821120\"]\n  13 -> 33 [size =\"50821120\"]\n  13 -> 34 [size =\"50821120\"]\n  13 -> 35 [size =\"50821120\"]\n  14 [size=\"40738816\", alpha=\"0.14\", expect_size=\"20369408\"] \n  14 -> 31 [size =\"20369408\"]\n  14 -> 33 [size =\"20369408\"]\n  14 -> 34 [size =\"20369408\"]\n  15 [size=\"62140416\", alpha=\"0.07\", expect_size=\"31070208\"] \n  15 -> 34 [size =\"31070208\"]\n  15 -> 35 [size =\"31070208\"]\n  16 [size=\"66023424\", alpha=\"0.06\", expect_size=\"33011712\"] \n  16 -> 34 [size =\"33011712\"]\n  16 -> 35 [size =\"33011712\"]\n  17 [size=\"102326272\", alpha=\"0.06\", expect_size=\"51163136\"] \n  17 -> 31 [size =\"51163136\"]\n  17 -> 35 [size =\"51163136\"]\n  18 [size=\"65212416\", alpha=\"0.08\", expect_size=\"32606208\"] \n  18 -> 35 [size =\"32606208\"]\n  18 -> 35 [size =\"32606208\"]\n  19 [size=\"56145920\", alpha=\"0.10\", expect_size=\"28072960\"] \n  20 [size=\"83664896\", alpha=\"0.13\", expect_size=\"41832448\"] \n  21 [size=\"13271040\", alpha=\"0.09\", expect_size=\"6635520\"] \n  21 -> 32 [size =\"6635520\"]\n  21 -> 35 [size =\"6635520\"]\n  22 [size=\"22921216\", alpha=\"0.00\", expect_size=\"11460608\"] \n  22 -> 31 [size =\"11460608\"]\n  22 -> 35 [size =\"11460608\"]\n  23 [size=\"64880640\", alpha=\"0.18\", expect_size=\"32440320\"] \n  23 -> 31 [size =\"32440320\"]\n  24 [size=\"69382144\", alpha=\"0.11\", expect_size=\"34691072\"] \n  24 -> 31 [size =\"34691072\"]\n  24 -> 32 [size =\"34691072\"]\n  24 -> 34 [size =\"34691072\"]\n  25 [size=\"42000384\", alpha=\"0.17\", expect_size=\"21000192\"] \n  25 -> 32 [size =\"21000192\"]\n  25 -> 35 [size =\"21000192\"]\n  26 [size=\"75085824\", alpha=\"0.15\", expect_size=\"37542912\"] \n  26 -> 31 [size =\"37542912\"]\n  26 -> 32 [size =\"37542912\"]\n  26 -> 34 [size =\"37542912\"]\n  27 [size=\"103884800\", alpha=\"0.19\", expect_size=\"51942400\"] \n  27 -> 31 [size =\"51942400\"]\n  28 [size=\"38817792\", alpha=\"0.01\", expect_size=\"19408896\"] \n  28 -> 34 [size =\"19408896\"]\n  29 [size=\"74508288\", alpha=\"0.02\", expect_size=\"37254144\"] \n  29 -> 35 [size =\"37254144\"]\n  30 [size=\"29345792\", alpha=\"0.06\", expect_size=\"14672896\"] \n  30 -> 34 [size =\"14672896\"]\n  30 -> 35 [size =\"14672896\"]\n  31 [size=\"90980352\", alpha=\"0.19\", expect_size=\"45490176\"] \n  32 [size=\"40613888\", alpha=\"0.17\", expect_size=\"20306944\"] \n  33 [size=\"42452992\", alpha=\"0.15\", expect_size=\"21226496\"] \n  34 [size=\"30957568\", alpha=\"0.20\", expect_size=\"15478784\"] \n  35 [size=\"80932864\", alpha=\"0.15\", expect_size=\"40466432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96749568\", alpha=\"0.17\", expect_size=\"48374784\"] \n  1 -> 5 [size =\"48374784\"]\n  1 -> 6 [size =\"48374784\"]\n  2 [size=\"68380672\", alpha=\"0.07\", expect_size=\"34190336\"] \n  2 -> 7 [size =\"34190336\"]\n  2 -> 8 [size =\"34190336\"]\n  3 [size=\"23918592\", alpha=\"0.08\", expect_size=\"11959296\"] \n  3 -> 7 [size =\"11959296\"]\n  3 -> 8 [size =\"11959296\"]\n  4 [size=\"69826560\", alpha=\"0.14\", expect_size=\"34913280\"] \n  4 -> 5 [size =\"34913280\"]\n  4 -> 6 [size =\"34913280\"]\n  4 -> 7 [size =\"34913280\"]\n  5 [size=\"47099904\", alpha=\"0.00\", expect_size=\"23549952\"] \n  5 -> 11 [size =\"23549952\"]\n  6 [size=\"30693376\", alpha=\"0.07\", expect_size=\"15346688\"] \n  6 -> 9 [size =\"15346688\"]\n  6 -> 11 [size =\"15346688\"]\n  7 [size=\"86898688\", alpha=\"0.19\", expect_size=\"43449344\"] \n  7 -> 9 [size =\"43449344\"]\n  7 -> 12 [size =\"43449344\"]\n  8 [size=\"80648192\", alpha=\"0.03\", expect_size=\"40324096\"] \n  8 -> 9 [size =\"40324096\"]\n  8 -> 10 [size =\"40324096\"]\n  8 -> 11 [size =\"40324096\"]\n  8 -> 12 [size =\"40324096\"]\n  9 [size=\"98334720\", alpha=\"0.03\", expect_size=\"49167360\"] \n  9 -> 14 [size =\"49167360\"]\n  9 -> 15 [size =\"49167360\"]\n  9 -> 17 [size =\"49167360\"]\n  10 [size=\"18599936\", alpha=\"0.14\", expect_size=\"9299968\"] \n  10 -> 14 [size =\"9299968\"]\n  10 -> 17 [size =\"9299968\"]\n  10 -> 18 [size =\"9299968\"]\n  11 [size=\"91852800\", alpha=\"0.19\", expect_size=\"45926400\"] \n  11 -> 13 [size =\"45926400\"]\n  11 -> 16 [size =\"45926400\"]\n  12 [size=\"79591424\", alpha=\"0.08\", expect_size=\"39795712\"] \n  12 -> 17 [size =\"39795712\"]\n  13 [size=\"15988736\", alpha=\"0.09\", expect_size=\"7994368\"] \n  13 -> 19 [size =\"7994368\"]\n  13 -> 20 [size =\"7994368\"]\n  13 -> 21 [size =\"7994368\"]\n  14 [size=\"53657600\", alpha=\"0.16\", expect_size=\"26828800\"] \n  14 -> 19 [size =\"26828800\"]\n  15 [size=\"25542656\", alpha=\"0.08\", expect_size=\"12771328\"] \n  15 -> 19 [size =\"12771328\"]\n  16 [size=\"25991168\", alpha=\"0.19\", expect_size=\"12995584\"] \n  16 -> 21 [size =\"12995584\"]\n  17 [size=\"59340800\", alpha=\"0.19\", expect_size=\"29670400\"] \n  17 -> 19 [size =\"29670400\"]\n  17 -> 20 [size =\"29670400\"]\n  18 [size=\"56096768\", alpha=\"0.06\", expect_size=\"28048384\"] \n  18 -> 21 [size =\"28048384\"]\n  19 [size=\"69552128\", alpha=\"0.19\", expect_size=\"34776064\"] \n  19 -> 22 [size =\"34776064\"]\n  19 -> 23 [size =\"34776064\"]\n  20 [size=\"81659904\", alpha=\"0.15\", expect_size=\"40829952\"] \n  20 -> 24 [size =\"40829952\"]\n  20 -> 25 [size =\"40829952\"]\n  21 [size=\"52357120\", alpha=\"0.10\", expect_size=\"26178560\"] \n  21 -> 23 [size =\"26178560\"]\n  21 -> 24 [size =\"26178560\"]\n  21 -> 25 [size =\"26178560\"]\n  22 [size=\"48414720\", alpha=\"0.17\", expect_size=\"24207360\"] \n  23 [size=\"87920640\", alpha=\"0.07\", expect_size=\"43960320\"] \n  23 -> 27 [size =\"43960320\"]\n  24 [size=\"38236160\", alpha=\"0.09\", expect_size=\"19118080\"] \n  24 -> 26 [size =\"19118080\"]\n  24 -> 27 [size =\"19118080\"]\n  24 -> 28 [size =\"19118080\"]\n  24 -> 30 [size =\"19118080\"]\n  25 [size=\"20183040\", alpha=\"0.19\", expect_size=\"10091520\"] \n  25 -> 26 [size =\"10091520\"]\n  25 -> 27 [size =\"10091520\"]\n  25 -> 29 [size =\"10091520\"]\n  25 -> 30 [size =\"10091520\"]\n  26 [size=\"59418624\", alpha=\"0.13\", expect_size=\"29709312\"] \n  26 -> 34 [size =\"29709312\"]\n  27 [size=\"53264384\", alpha=\"0.04\", expect_size=\"26632192\"] \n  27 -> 31 [size =\"26632192\"]\n  27 -> 33 [size =\"26632192\"]\n  27 -> 35 [size =\"26632192\"]\n  28 [size=\"49483776\", alpha=\"0.09\", expect_size=\"24741888\"] \n  28 -> 31 [size =\"24741888\"]\n  28 -> 33 [size =\"24741888\"]\n  29 [size=\"79028224\", alpha=\"0.14\", expect_size=\"39514112\"] \n  29 -> 31 [size =\"39514112\"]\n  29 -> 32 [size =\"39514112\"]\n  29 -> 34 [size =\"39514112\"]\n  30 [size=\"74424320\", alpha=\"0.19\", expect_size=\"37212160\"] \n  30 -> 32 [size =\"37212160\"]\n  30 -> 33 [size =\"37212160\"]\n  31 [size=\"52611072\", alpha=\"0.02\", expect_size=\"26305536\"] \n  32 [size=\"99852288\", alpha=\"0.20\", expect_size=\"49926144\"] \n  33 [size=\"85301248\", alpha=\"0.19\", expect_size=\"42650624\"] \n  34 [size=\"22388736\", alpha=\"0.07\", expect_size=\"11194368\"] \n  35 [size=\"64831488\", alpha=\"0.18\", expect_size=\"32415744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86422187\", alpha=\"0.20\", expect_size=\"25926656\"] \n  1 -> 2 [size =\"25926656\"]\n  2 [size=\"144991573\", alpha=\"0.19\", expect_size=\"43497472\"] \n  2 -> 3 [size =\"43497472\"]\n  3 [size=\"50056533\", alpha=\"0.14\", expect_size=\"15016960\"] \n  3 -> 4 [size =\"15016960\"]\n  4 [size=\"40400213\", alpha=\"0.14\", expect_size=\"12120064\"] \n  4 -> 5 [size =\"12120064\"]\n  5 [size=\"162034347\", alpha=\"0.09\", expect_size=\"48610304\"] \n  5 -> 6 [size =\"48610304\"]\n  6 [size=\"168178347\", alpha=\"0.13\", expect_size=\"50453504\"] \n  6 -> 7 [size =\"50453504\"]\n  7 [size=\"156620800\", alpha=\"0.13\", expect_size=\"46986240\"] \n  7 -> 8 [size =\"46986240\"]\n  8 [size=\"51486720\", alpha=\"0.02\", expect_size=\"15446016\"] \n  8 -> 9 [size =\"15446016\"]\n  9 [size=\"157552640\", alpha=\"0.04\", expect_size=\"47265792\"] \n  9 -> 10 [size =\"47265792\"]\n  10 [size=\"169018027\", alpha=\"0.04\", expect_size=\"50705408\"] \n  10 -> 11 [size =\"50705408\"]\n  11 [size=\"122559147\", alpha=\"0.07\", expect_size=\"36767744\"] \n  11 -> 12 [size =\"36767744\"]\n  12 [size=\"121743360\", alpha=\"0.00\", expect_size=\"36523008\"] \n  12 -> 13 [size =\"36523008\"]\n  13 [size=\"112479573\", alpha=\"0.03\", expect_size=\"33743872\"] \n  13 -> 14 [size =\"33743872\"]\n  14 [size=\"67485013\", alpha=\"0.08\", expect_size=\"20245504\"] \n  14 -> 15 [size =\"20245504\"]\n  15 [size=\"20264960\", alpha=\"0.16\", expect_size=\"6079488\"] \n  15 -> 16 [size =\"6079488\"]\n  16 [size=\"88726187\", alpha=\"0.15\", expect_size=\"26617856\"] \n  16 -> 17 [size =\"26617856\"]\n  17 [size=\"36392960\", alpha=\"0.14\", expect_size=\"10917888\"] \n  17 -> 18 [size =\"10917888\"]\n  18 [size=\"140991147\", alpha=\"0.17\", expect_size=\"42297344\"] \n  18 -> 19 [size =\"42297344\"]\n  19 [size=\"157375147\", alpha=\"0.09\", expect_size=\"47212544\"] \n  19 -> 20 [size =\"47212544\"]\n  20 [size=\"34129920\", alpha=\"0.18\", expect_size=\"10238976\"] \n  20 -> 21 [size =\"10238976\"]\n  21 [size=\"69317973\", alpha=\"0.16\", expect_size=\"20795392\"] \n  21 -> 22 [size =\"20795392\"]\n  22 [size=\"125569707\", alpha=\"0.11\", expect_size=\"37670912\"] \n  22 -> 23 [size =\"37670912\"]\n  23 [size=\"129211733\", alpha=\"0.10\", expect_size=\"38763520\"] \n  23 -> 24 [size =\"38763520\"]\n  24 [size=\"150217387\", alpha=\"0.11\", expect_size=\"45065216\"] \n  24 -> 25 [size =\"45065216\"]\n  25 [size=\"52473173\", alpha=\"0.11\", expect_size=\"15741952\"] \n  25 -> 26 [size =\"15741952\"]\n  26 [size=\"19681280\", alpha=\"0.11\", expect_size=\"5904384\"] \n  26 -> 27 [size =\"5904384\"]\n  27 [size=\"137625600\", alpha=\"0.07\", expect_size=\"41287680\"] \n  27 -> 28 [size =\"41287680\"]\n  28 [size=\"87227733\", alpha=\"0.09\", expect_size=\"26168320\"] \n  28 -> 29 [size =\"26168320\"]\n  29 [size=\"64634880\", alpha=\"0.08\", expect_size=\"19390464\"] \n  29 -> 30 [size =\"19390464\"]\n  30 [size=\"131580587\", alpha=\"0.06\", expect_size=\"39474176\"] \n  30 -> 31 [size =\"39474176\"]\n  31 [size=\"116640427\", alpha=\"0.18\", expect_size=\"34992128\"] \n  31 -> 32 [size =\"34992128\"]\n  32 [size=\"88767147\", alpha=\"0.02\", expect_size=\"26630144\"] \n  32 -> 33 [size =\"26630144\"]\n  33 [size=\"18189653\", alpha=\"0.19\", expect_size=\"5456896\"] \n  33 -> 34 [size =\"5456896\"]\n  34 [size=\"94774613\", alpha=\"0.03\", expect_size=\"28432384\"] \n  34 -> 35 [size =\"28432384\"]\n  35 [size=\"26876587\", alpha=\"0.06\", expect_size=\"8062976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43566080\", alpha=\"0.15\", expect_size=\"17426432\"] \n  1 -> 2 [size =\"17426432\"]\n  2 [size=\"98112000\", alpha=\"0.17\", expect_size=\"39244800\"] \n  2 -> 3 [size =\"39244800\"]\n  3 [size=\"29135360\", alpha=\"0.09\", expect_size=\"11654144\"] \n  3 -> 4 [size =\"11654144\"]\n  4 [size=\"34094080\", alpha=\"0.17\", expect_size=\"13637632\"] \n  4 -> 5 [size =\"13637632\"]\n  5 [size=\"109158400\", alpha=\"0.09\", expect_size=\"43663360\"] \n  5 -> 6 [size =\"43663360\"]\n  6 [size=\"92928000\", alpha=\"0.16\", expect_size=\"37171200\"] \n  6 -> 7 [size =\"37171200\"]\n  7 [size=\"73062400\", alpha=\"0.15\", expect_size=\"29224960\"] \n  7 -> 8 [size =\"29224960\"]\n  8 [size=\"48207360\", alpha=\"0.12\", expect_size=\"19282944\"] \n  8 -> 9 [size =\"19282944\"]\n  9 [size=\"31462400\", alpha=\"0.18\", expect_size=\"12584960\"] \n  9 -> 10 [size =\"12584960\"]\n  10 [size=\"87219200\", alpha=\"0.05\", expect_size=\"34887680\"] \n  10 -> 11 [size =\"34887680\"]\n  11 [size=\"56977920\", alpha=\"0.03\", expect_size=\"22791168\"] \n  11 -> 12 [size =\"22791168\"]\n  12 [size=\"28034560\", alpha=\"0.14\", expect_size=\"11213824\"] \n  12 -> 13 [size =\"11213824\"]\n  13 [size=\"130513920\", alpha=\"0.10\", expect_size=\"52205568\"] \n  13 -> 14 [size =\"52205568\"]\n  14 [size=\"64711680\", alpha=\"0.19\", expect_size=\"25884672\"] \n  14 -> 15 [size =\"25884672\"]\n  15 [size=\"46407680\", alpha=\"0.01\", expect_size=\"18563072\"] \n  15 -> 16 [size =\"18563072\"]\n  16 [size=\"101122560\", alpha=\"0.08\", expect_size=\"40449024\"] \n  16 -> 17 [size =\"40449024\"]\n  17 [size=\"77614080\", alpha=\"0.08\", expect_size=\"31045632\"] \n  17 -> 18 [size =\"31045632\"]\n  18 [size=\"48524800\", alpha=\"0.02\", expect_size=\"19409920\"] \n  18 -> 19 [size =\"19409920\"]\n  19 [size=\"116764160\", alpha=\"0.06\", expect_size=\"46705664\"] \n  19 -> 20 [size =\"46705664\"]\n  20 [size=\"106938880\", alpha=\"0.17\", expect_size=\"42775552\"] \n  20 -> 21 [size =\"42775552\"]\n  21 [size=\"18949120\", alpha=\"0.14\", expect_size=\"7579648\"] \n  21 -> 22 [size =\"7579648\"]\n  22 [size=\"37652480\", alpha=\"0.05\", expect_size=\"15060992\"] \n  22 -> 23 [size =\"15060992\"]\n  23 [size=\"120711680\", alpha=\"0.19\", expect_size=\"48284672\"] \n  23 -> 24 [size =\"48284672\"]\n  24 [size=\"63718400\", alpha=\"0.16\", expect_size=\"25487360\"] \n  24 -> 25 [size =\"25487360\"]\n  25 [size=\"57320960\", alpha=\"0.09\", expect_size=\"22928384\"] \n  25 -> 26 [size =\"22928384\"]\n  26 [size=\"65520640\", alpha=\"0.16\", expect_size=\"26208256\"] \n  26 -> 27 [size =\"26208256\"]\n  27 [size=\"110525440\", alpha=\"0.14\", expect_size=\"44210176\"] \n  27 -> 28 [size =\"44210176\"]\n  28 [size=\"40366080\", alpha=\"0.17\", expect_size=\"16146432\"] \n  28 -> 29 [size =\"16146432\"]\n  29 [size=\"51422720\", alpha=\"0.03\", expect_size=\"20569088\"] \n  29 -> 30 [size =\"20569088\"]\n  30 [size=\"86855680\", alpha=\"0.02\", expect_size=\"34742272\"] \n  30 -> 31 [size =\"34742272\"]\n  31 [size=\"71400960\", alpha=\"0.08\", expect_size=\"28560384\"] \n  31 -> 32 [size =\"28560384\"]\n  32 [size=\"35520000\", alpha=\"0.17\", expect_size=\"14208000\"] \n  32 -> 33 [size =\"14208000\"]\n  33 [size=\"64217600\", alpha=\"0.06\", expect_size=\"25687040\"] \n  33 -> 34 [size =\"25687040\"]\n  34 [size=\"55559680\", alpha=\"0.03\", expect_size=\"22223872\"] \n  34 -> 35 [size =\"22223872\"]\n  35 [size=\"30535680\", alpha=\"0.06\", expect_size=\"12214272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22412800\", alpha=\"0.11\", expect_size=\"8965120\"] \n  1 -> 2 [size =\"8965120\"]\n  2 [size=\"88540160\", alpha=\"0.17\", expect_size=\"35416064\"] \n  2 -> 3 [size =\"35416064\"]\n  3 [size=\"108449280\", alpha=\"0.06\", expect_size=\"43379712\"] \n  3 -> 4 [size =\"43379712\"]\n  4 [size=\"21496320\", alpha=\"0.10\", expect_size=\"8598528\"] \n  4 -> 5 [size =\"8598528\"]\n  5 [size=\"27494400\", alpha=\"0.16\", expect_size=\"10997760\"] \n  5 -> 6 [size =\"10997760\"]\n  6 [size=\"78510080\", alpha=\"0.13\", expect_size=\"31404032\"] \n  6 -> 7 [size =\"31404032\"]\n  7 [size=\"36467200\", alpha=\"0.10\", expect_size=\"14586880\"] \n  7 -> 8 [size =\"14586880\"]\n  8 [size=\"36157440\", alpha=\"0.10\", expect_size=\"14462976\"] \n  8 -> 9 [size =\"14462976\"]\n  8 -> 10 [size =\"14462976\"]\n  9 [size=\"57827840\", alpha=\"0.19\", expect_size=\"23131136\"] \n  9 -> 11 [size =\"23131136\"]\n  10 [size=\"26524160\", alpha=\"0.17\", expect_size=\"10609664\"] \n  10 -> 11 [size =\"10609664\"]\n  11 [size=\"114419200\", alpha=\"0.11\", expect_size=\"45767680\"] \n  11 -> 12 [size =\"45767680\"]\n  12 [size=\"60157440\", alpha=\"0.03\", expect_size=\"24062976\"] \n  12 -> 13 [size =\"24062976\"]\n  13 [size=\"44943360\", alpha=\"0.16\", expect_size=\"17977344\"] \n  13 -> 14 [size =\"17977344\"]\n  13 -> 15 [size =\"17977344\"]\n  14 [size=\"78195200\", alpha=\"0.10\", expect_size=\"31278080\"] \n  14 -> 17 [size =\"31278080\"]\n  15 [size=\"20912640\", alpha=\"0.18\", expect_size=\"8365056\"] \n  15 -> 16 [size =\"8365056\"]\n  15 -> 17 [size =\"8365056\"]\n  16 [size=\"114964480\", alpha=\"0.09\", expect_size=\"45985792\"] \n  16 -> 18 [size =\"45985792\"]\n  16 -> 19 [size =\"45985792\"]\n  17 [size=\"76349440\", alpha=\"0.11\", expect_size=\"30539776\"] \n  17 -> 18 [size =\"30539776\"]\n  17 -> 19 [size =\"30539776\"]\n  18 [size=\"16627200\", alpha=\"0.18\", expect_size=\"6650880\"] \n  18 -> 20 [size =\"6650880\"]\n  19 [size=\"75381760\", alpha=\"0.11\", expect_size=\"30152704\"] \n  19 -> 20 [size =\"30152704\"]\n  19 -> 21 [size =\"30152704\"]\n  20 [size=\"68556800\", alpha=\"0.03\", expect_size=\"27422720\"] \n  20 -> 22 [size =\"27422720\"]\n  20 -> 23 [size =\"27422720\"]\n  21 [size=\"51136000\", alpha=\"0.17\", expect_size=\"20454400\"] \n  21 -> 22 [size =\"20454400\"]\n  21 -> 23 [size =\"20454400\"]\n  22 [size=\"117921280\", alpha=\"0.04\", expect_size=\"47168512\"] \n  22 -> 24 [size =\"47168512\"]\n  23 [size=\"15700480\", alpha=\"0.06\", expect_size=\"6280192\"] \n  23 -> 24 [size =\"6280192\"]\n  24 [size=\"110571520\", alpha=\"0.11\", expect_size=\"44228608\"] \n  24 -> 25 [size =\"44228608\"]\n  25 [size=\"49507840\", alpha=\"0.17\", expect_size=\"19803136\"] \n  25 -> 26 [size =\"19803136\"]\n  26 [size=\"39009280\", alpha=\"0.15\", expect_size=\"15603712\"] \n  26 -> 27 [size =\"15603712\"]\n  27 [size=\"89574400\", alpha=\"0.17\", expect_size=\"35829760\"] \n  27 -> 28 [size =\"35829760\"]\n  28 [size=\"35686400\", alpha=\"0.02\", expect_size=\"14274560\"] \n  28 -> 29 [size =\"14274560\"]\n  28 -> 30 [size =\"14274560\"]\n  29 [size=\"21304320\", alpha=\"0.16\", expect_size=\"8521728\"] \n  29 -> 31 [size =\"8521728\"]\n  30 [size=\"85278720\", alpha=\"0.11\", expect_size=\"34111488\"] \n  30 -> 32 [size =\"34111488\"]\n  31 [size=\"103695360\", alpha=\"0.04\", expect_size=\"41478144\"] \n  31 -> 33 [size =\"41478144\"]\n  31 -> 34 [size =\"41478144\"]\n  32 [size=\"85859840\", alpha=\"0.04\", expect_size=\"34343936\"] \n  32 -> 34 [size =\"34343936\"]\n  33 [size=\"107210240\", alpha=\"0.10\", expect_size=\"42884096\"] \n  33 -> 35 [size =\"42884096\"]\n  34 [size=\"27159040\", alpha=\"0.08\", expect_size=\"10863616\"] \n  34 -> 35 [size =\"10863616\"]\n  35 [size=\"90027520\", alpha=\"0.06\", expect_size=\"36011008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48930816\", alpha=\"0.06\", expect_size=\"24465408\"] \n  1 -> 2 [size =\"24465408\"]\n  2 [size=\"62502912\", alpha=\"0.05\", expect_size=\"31251456\"] \n  2 -> 3 [size =\"31251456\"]\n  3 [size=\"11059200\", alpha=\"0.19\", expect_size=\"5529600\"] \n  3 -> 4 [size =\"5529600\"]\n  4 [size=\"34781184\", alpha=\"0.04\", expect_size=\"17390592\"] \n  4 -> 5 [size =\"17390592\"]\n  5 [size=\"22102016\", alpha=\"0.01\", expect_size=\"11051008\"] \n  5 -> 6 [size =\"11051008\"]\n  6 [size=\"23375872\", alpha=\"0.13\", expect_size=\"11687936\"] \n  6 -> 7 [size =\"11687936\"]\n  7 [size=\"37304320\", alpha=\"0.00\", expect_size=\"18652160\"] \n  7 -> 8 [size =\"18652160\"]\n  8 [size=\"57360384\", alpha=\"0.02\", expect_size=\"28680192\"] \n  8 -> 9 [size =\"28680192\"]\n  9 [size=\"79589376\", alpha=\"0.09\", expect_size=\"39794688\"] \n  9 -> 10 [size =\"39794688\"]\n  10 [size=\"59328512\", alpha=\"0.09\", expect_size=\"29664256\"] \n  10 -> 11 [size =\"29664256\"]\n  11 [size=\"91289600\", alpha=\"0.19\", expect_size=\"45644800\"] \n  11 -> 12 [size =\"45644800\"]\n  12 [size=\"24852480\", alpha=\"0.15\", expect_size=\"12426240\"] \n  12 -> 13 [size =\"12426240\"]\n  13 [size=\"48582656\", alpha=\"0.00\", expect_size=\"24291328\"] \n  13 -> 14 [size =\"24291328\"]\n  14 [size=\"42291200\", alpha=\"0.07\", expect_size=\"21145600\"] \n  14 -> 15 [size =\"21145600\"]\n  15 [size=\"59107328\", alpha=\"0.19\", expect_size=\"29553664\"] \n  15 -> 16 [size =\"29553664\"]\n  16 [size=\"66138112\", alpha=\"0.00\", expect_size=\"33069056\"] \n  16 -> 17 [size =\"33069056\"]\n  17 [size=\"31559680\", alpha=\"0.06\", expect_size=\"15779840\"] \n  17 -> 18 [size =\"15779840\"]\n  18 [size=\"32577536\", alpha=\"0.01\", expect_size=\"16288768\"] \n  18 -> 19 [size =\"16288768\"]\n  19 [size=\"44365824\", alpha=\"0.02\", expect_size=\"22182912\"] \n  19 -> 20 [size =\"22182912\"]\n  20 [size=\"85440512\", alpha=\"0.19\", expect_size=\"42720256\"] \n  20 -> 21 [size =\"42720256\"]\n  21 [size=\"34129920\", alpha=\"0.04\", expect_size=\"17064960\"] \n  21 -> 22 [size =\"17064960\"]\n  22 [size=\"27400192\", alpha=\"0.19\", expect_size=\"13700096\"] \n  22 -> 23 [size =\"13700096\"]\n  23 [size=\"99627008\", alpha=\"0.15\", expect_size=\"49813504\"] \n  23 -> 24 [size =\"49813504\"]\n  24 [size=\"101341184\", alpha=\"0.16\", expect_size=\"50670592\"] \n  24 -> 25 [size =\"50670592\"]\n  25 [size=\"40478720\", alpha=\"0.19\", expect_size=\"20239360\"] \n  25 -> 26 [size =\"20239360\"]\n  26 [size=\"35350528\", alpha=\"0.06\", expect_size=\"17675264\"] \n  26 -> 27 [size =\"17675264\"]\n  27 [size=\"36868096\", alpha=\"0.18\", expect_size=\"18434048\"] \n  27 -> 28 [size =\"18434048\"]\n  28 [size=\"63784960\", alpha=\"0.19\", expect_size=\"31892480\"] \n  28 -> 29 [size =\"31892480\"]\n  29 [size=\"69548032\", alpha=\"0.16\", expect_size=\"34774016\"] \n  29 -> 30 [size =\"34774016\"]\n  30 [size=\"80310272\", alpha=\"0.03\", expect_size=\"40155136\"] \n  30 -> 31 [size =\"40155136\"]\n  31 [size=\"74745856\", alpha=\"0.06\", expect_size=\"37372928\"] \n  31 -> 32 [size =\"37372928\"]\n  32 [size=\"91305984\", alpha=\"0.13\", expect_size=\"45652992\"] \n  32 -> 33 [size =\"45652992\"]\n  33 [size=\"87631872\", alpha=\"0.08\", expect_size=\"43815936\"] \n  33 -> 34 [size =\"43815936\"]\n  34 [size=\"64303104\", alpha=\"0.10\", expect_size=\"32151552\"] \n  34 -> 35 [size =\"32151552\"]\n  35 [size=\"45613056\", alpha=\"0.02\", expect_size=\"22806528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170765653\", alpha=\"0.19\", expect_size=\"51229696\"] \n  2 [size=\"55091200\", alpha=\"0.17\", expect_size=\"16527360\"] \n  2 -> 5 [size =\"16527360\"]\n  2 -> 6 [size =\"16527360\"]\n  2 -> 7 [size =\"16527360\"]\n  3 [size=\"106557440\", alpha=\"0.05\", expect_size=\"31967232\"] \n  3 -> 5 [size =\"31967232\"]\n  3 -> 6 [size =\"31967232\"]\n  3 -> 7 [size =\"31967232\"]\n  3 -> 9 [size =\"31967232\"]\n  4 [size=\"61682347\", alpha=\"0.07\", expect_size=\"18504704\"] \n  4 -> 8 [size =\"18504704\"]\n  4 -> 9 [size =\"18504704\"]\n  5 [size=\"36833280\", alpha=\"0.01\", expect_size=\"11049984\"] \n  5 -> 11 [size =\"11049984\"]\n  5 -> 13 [size =\"11049984\"]\n  5 -> 14 [size =\"11049984\"]\n  6 [size=\"165184853\", alpha=\"0.13\", expect_size=\"49555456\"] \n  6 -> 10 [size =\"49555456\"]\n  6 -> 12 [size =\"49555456\"]\n  6 -> 14 [size =\"49555456\"]\n  7 [size=\"162795520\", alpha=\"0.08\", expect_size=\"48838656\"] \n  7 -> 10 [size =\"48838656\"]\n  7 -> 12 [size =\"48838656\"]\n  7 -> 13 [size =\"48838656\"]\n  7 -> 14 [size =\"48838656\"]\n  8 [size=\"80670720\", alpha=\"0.14\", expect_size=\"24201216\"] \n  8 -> 12 [size =\"24201216\"]\n  8 -> 13 [size =\"24201216\"]\n  9 [size=\"52708693\", alpha=\"0.07\", expect_size=\"15812608\"] \n  10 [size=\"131399680\", alpha=\"0.11\", expect_size=\"39419904\"] \n  10 -> 15 [size =\"39419904\"]\n  10 -> 16 [size =\"39419904\"]\n  10 -> 18 [size =\"39419904\"]\n  11 [size=\"89323520\", alpha=\"0.03\", expect_size=\"26797056\"] \n  11 -> 18 [size =\"26797056\"]\n  12 [size=\"84930560\", alpha=\"0.03\", expect_size=\"25479168\"] \n  12 -> 15 [size =\"25479168\"]\n  12 -> 16 [size =\"25479168\"]\n  12 -> 17 [size =\"25479168\"]\n  12 -> 19 [size =\"25479168\"]\n  13 [size=\"61771093\", alpha=\"0.16\", expect_size=\"18531328\"] \n  13 -> 16 [size =\"18531328\"]\n  14 [size=\"97355093\", alpha=\"0.12\", expect_size=\"29206528\"] \n  15 [size=\"149882880\", alpha=\"0.05\", expect_size=\"44964864\"] \n  15 -> 20 [size =\"44964864\"]\n  15 -> 21 [size =\"44964864\"]\n  15 -> 24 [size =\"44964864\"]\n  16 [size=\"157641387\", alpha=\"0.02\", expect_size=\"47292416\"] \n  16 -> 20 [size =\"47292416\"]\n  16 -> 22 [size =\"47292416\"]\n  17 [size=\"105175040\", alpha=\"0.12\", expect_size=\"31552512\"] \n  17 -> 20 [size =\"31552512\"]\n  18 [size=\"170444800\", alpha=\"0.13\", expect_size=\"51133440\"] \n  18 -> 22 [size =\"51133440\"]\n  18 -> 23 [size =\"51133440\"]\n  18 -> 24 [size =\"51133440\"]\n  19 [size=\"120166400\", alpha=\"0.10\", expect_size=\"36049920\"] \n  19 -> 22 [size =\"36049920\"]\n  19 -> 23 [size =\"36049920\"]\n  20 [size=\"21483520\", alpha=\"0.05\", expect_size=\"6445056\"] \n  20 -> 25 [size =\"6445056\"]\n  20 -> 28 [size =\"6445056\"]\n  21 [size=\"108055893\", alpha=\"0.19\", expect_size=\"32416768\"] \n  21 -> 26 [size =\"32416768\"]\n  21 -> 27 [size =\"32416768\"]\n  21 -> 28 [size =\"32416768\"]\n  22 [size=\"135345493\", alpha=\"0.18\", expect_size=\"40603648\"] \n  22 -> 26 [size =\"40603648\"]\n  23 [size=\"159880533\", alpha=\"0.09\", expect_size=\"47964160\"] \n  23 -> 28 [size =\"47964160\"]\n  23 -> 29 [size =\"47964160\"]\n  24 [size=\"131246080\", alpha=\"0.05\", expect_size=\"39373824\"] \n  24 -> 29 [size =\"39373824\"]\n  25 [size=\"68065280\", alpha=\"0.04\", expect_size=\"20419584\"] \n  25 -> 30 [size =\"20419584\"]\n  26 [size=\"109469013\", alpha=\"0.01\", expect_size=\"32840704\"] \n  26 -> 32 [size =\"32840704\"]\n  27 [size=\"124689067\", alpha=\"0.17\", expect_size=\"37406720\"] \n  27 -> 33 [size =\"37406720\"]\n  28 [size=\"61573120\", alpha=\"0.01\", expect_size=\"18471936\"] \n  28 -> 31 [size =\"18471936\"]\n  29 [size=\"161850027\", alpha=\"0.09\", expect_size=\"48555008\"] \n  29 -> 30 [size =\"48555008\"]\n  29 -> 31 [size =\"48555008\"]\n  29 -> 32 [size =\"48555008\"]\n  30 [size=\"81937067\", alpha=\"0.12\", expect_size=\"24581120\"] \n  31 [size=\"119480320\", alpha=\"0.04\", expect_size=\"35844096\"] \n  31 -> 35 [size =\"35844096\"]\n  32 [size=\"113203200\", alpha=\"0.05\", expect_size=\"33960960\"] \n  32 -> 34 [size =\"33960960\"]\n  33 [size=\"100717227\", alpha=\"0.11\", expect_size=\"30215168\"] \n  33 -> 35 [size =\"30215168\"]\n  34 [size=\"171110400\", alpha=\"0.07\", expect_size=\"51333120\"] \n  35 [size=\"54016000\", alpha=\"0.01\", expect_size=\"16204800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73326592\", alpha=\"0.12\", expect_size=\"36663296\"] \n  1 -> 2 [size =\"36663296\"]\n  1 -> 3 [size =\"36663296\"]\n  2 [size=\"41158656\", alpha=\"0.01\", expect_size=\"20579328\"] \n  3 [size=\"11188224\", alpha=\"0.11\", expect_size=\"5594112\"] \n  3 -> 4 [size =\"5594112\"]\n  3 -> 5 [size =\"5594112\"]\n  4 [size=\"71958528\", alpha=\"0.07\", expect_size=\"35979264\"] \n  4 -> 6 [size =\"35979264\"]\n  4 -> 7 [size =\"35979264\"]\n  5 [size=\"59023360\", alpha=\"0.05\", expect_size=\"29511680\"] \n  6 [size=\"88832000\", alpha=\"0.11\", expect_size=\"44416000\"] \n  6 -> 8 [size =\"44416000\"]\n  6 -> 9 [size =\"44416000\"]\n  7 [size=\"87212032\", alpha=\"0.16\", expect_size=\"43606016\"] \n  8 [size=\"82139136\", alpha=\"0.18\", expect_size=\"41069568\"] \n  8 -> 10 [size =\"41069568\"]\n  8 -> 11 [size =\"41069568\"]\n  9 [size=\"89419776\", alpha=\"0.01\", expect_size=\"44709888\"] \n  10 [size=\"102877184\", alpha=\"0.06\", expect_size=\"51438592\"] \n  10 -> 13 [size =\"51438592\"]\n  11 [size=\"96894976\", alpha=\"0.11\", expect_size=\"48447488\"] \n  11 -> 12 [size =\"48447488\"]\n  12 [size=\"59398144\", alpha=\"0.19\", expect_size=\"29699072\"] \n  13 [size=\"66271232\", alpha=\"0.03\", expect_size=\"33135616\"] \n  13 -> 14 [size =\"33135616\"]\n  14 [size=\"23713792\", alpha=\"0.07\", expect_size=\"11856896\"] \n  14 -> 15 [size =\"11856896\"]\n  14 -> 16 [size =\"11856896\"]\n  15 [size=\"59054080\", alpha=\"0.06\", expect_size=\"29527040\"] \n  16 [size=\"84158464\", alpha=\"0.18\", expect_size=\"42079232\"] \n  16 -> 17 [size =\"42079232\"]\n  17 [size=\"41545728\", alpha=\"0.20\", expect_size=\"20772864\"] \n  17 -> 18 [size =\"20772864\"]\n  17 -> 19 [size =\"20772864\"]\n  18 [size=\"24733696\", alpha=\"0.03\", expect_size=\"12366848\"] \n  19 [size=\"14278656\", alpha=\"0.02\", expect_size=\"7139328\"] \n  19 -> 20 [size =\"7139328\"]\n  19 -> 21 [size =\"7139328\"]\n  20 [size=\"18030592\", alpha=\"0.06\", expect_size=\"9015296\"] \n  21 [size=\"45793280\", alpha=\"0.04\", expect_size=\"22896640\"] \n  21 -> 22 [size =\"22896640\"]\n  22 [size=\"99084288\", alpha=\"0.08\", expect_size=\"49542144\"] \n  22 -> 23 [size =\"49542144\"]\n  22 -> 24 [size =\"49542144\"]\n  23 [size=\"92637184\", alpha=\"0.12\", expect_size=\"46318592\"] \n  23 -> 25 [size =\"46318592\"]\n  24 [size=\"14520320\", alpha=\"0.09\", expect_size=\"7260160\"] \n  25 [size=\"45518848\", alpha=\"0.17\", expect_size=\"22759424\"] \n  25 -> 26 [size =\"22759424\"]\n  26 [size=\"75042816\", alpha=\"0.01\", expect_size=\"37521408\"] \n  26 -> 27 [size =\"37521408\"]\n  27 [size=\"63324160\", alpha=\"0.01\", expect_size=\"31662080\"] \n  27 -> 28 [size =\"31662080\"]\n  27 -> 29 [size =\"31662080\"]\n  28 [size=\"62732288\", alpha=\"0.17\", expect_size=\"31366144\"] \n  28 -> 30 [size =\"31366144\"]\n  29 [size=\"77056000\", alpha=\"0.09\", expect_size=\"38528000\"] \n  30 [size=\"87279616\", alpha=\"0.01\", expect_size=\"43639808\"] \n  30 -> 31 [size =\"43639808\"]\n  31 [size=\"23072768\", alpha=\"0.11\", expect_size=\"11536384\"] \n  31 -> 32 [size =\"11536384\"]\n  32 [size=\"41650176\", alpha=\"0.12\", expect_size=\"20825088\"] \n  32 -> 33 [size =\"20825088\"]\n  33 [size=\"79312896\", alpha=\"0.04\", expect_size=\"39656448\"] \n  33 -> 34 [size =\"39656448\"]\n  33 -> 35 [size =\"39656448\"]\n  34 [size=\"42393600\", alpha=\"0.19\", expect_size=\"21196800\"] \n  35 [size=\"86740992\", alpha=\"0.05\", expect_size=\"43370496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75182080\", alpha=\"0.15\", expect_size=\"30072832\"] \n  1 -> 30 [size =\"30072832\"]\n  1 -> 33 [size =\"30072832\"]\n  2 [size=\"45652480\", alpha=\"0.18\", expect_size=\"18260992\"] \n  3 [size=\"36326400\", alpha=\"0.10\", expect_size=\"14530560\"] \n  3 -> 34 [size =\"14530560\"]\n  4 [size=\"58780160\", alpha=\"0.11\", expect_size=\"23512064\"] \n  5 [size=\"76039680\", alpha=\"0.19\", expect_size=\"30415872\"] \n  5 -> 29 [size =\"30415872\"]\n  5 -> 32 [size =\"30415872\"]\n  6 [size=\"112099840\", alpha=\"0.10\", expect_size=\"44839936\"] \n  6 -> 29 [size =\"44839936\"]\n  6 -> 30 [size =\"44839936\"]\n  6 -> 33 [size =\"44839936\"]\n  7 [size=\"120931840\", alpha=\"0.07\", expect_size=\"48372736\"] \n  7 -> 27 [size =\"48372736\"]\n  7 -> 30 [size =\"48372736\"]\n  7 -> 33 [size =\"48372736\"]\n  7 -> 35 [size =\"48372736\"]\n  8 [size=\"122311680\", alpha=\"0.12\", expect_size=\"48924672\"] \n  8 -> 30 [size =\"48924672\"]\n  8 -> 33 [size =\"48924672\"]\n  9 [size=\"103462400\", alpha=\"0.06\", expect_size=\"41384960\"] \n  9 -> 28 [size =\"41384960\"]\n  9 -> 30 [size =\"41384960\"]\n  9 -> 32 [size =\"41384960\"]\n  9 -> 33 [size =\"41384960\"]\n  10 [size=\"32120320\", alpha=\"0.20\", expect_size=\"12848128\"] \n  10 -> 30 [size =\"12848128\"]\n  11 [size=\"88258560\", alpha=\"0.09\", expect_size=\"35303424\"] \n  11 -> 27 [size =\"35303424\"]\n  11 -> 31 [size =\"35303424\"]\n  11 -> 32 [size =\"35303424\"]\n  11 -> 34 [size =\"35303424\"]\n  11 -> 35 [size =\"35303424\"]\n  12 [size=\"57369600\", alpha=\"0.02\", expect_size=\"22947840\"] \n  12 -> 29 [size =\"22947840\"]\n  12 -> 34 [size =\"22947840\"]\n  12 -> 35 [size =\"22947840\"]\n  13 [size=\"47313920\", alpha=\"0.01\", expect_size=\"18925568\"] \n  13 -> 33 [size =\"18925568\"]\n  14 [size=\"107793920\", alpha=\"0.13\", expect_size=\"43117568\"] \n  14 -> 30 [size =\"43117568\"]\n  14 -> 34 [size =\"43117568\"]\n  15 [size=\"56268800\", alpha=\"0.03\", expect_size=\"22507520\"] \n  15 -> 30 [size =\"22507520\"]\n  15 -> 33 [size =\"22507520\"]\n  16 [size=\"51179520\", alpha=\"0.04\", expect_size=\"20471808\"] \n  16 -> 30 [size =\"20471808\"]\n  17 [size=\"108564480\", alpha=\"0.02\", expect_size=\"43425792\"] \n  17 -> 30 [size =\"43425792\"]\n  17 -> 35 [size =\"43425792\"]\n  18 [size=\"33871360\", alpha=\"0.07\", expect_size=\"13548544\"] \n  18 -> 30 [size =\"13548544\"]\n  19 [size=\"103600640\", alpha=\"0.03\", expect_size=\"41440256\"] \n  19 -> 27 [size =\"41440256\"]\n  19 -> 30 [size =\"41440256\"]\n  20 [size=\"20308480\", alpha=\"0.13\", expect_size=\"8123392\"] \n  20 -> 30 [size =\"8123392\"]\n  20 -> 33 [size =\"8123392\"]\n  20 -> 34 [size =\"8123392\"]\n  21 [size=\"19627520\", alpha=\"0.13\", expect_size=\"7851008\"] \n  21 -> 27 [size =\"7851008\"]\n  21 -> 30 [size =\"7851008\"]\n  21 -> 33 [size =\"7851008\"]\n  22 [size=\"74890240\", alpha=\"0.20\", expect_size=\"29956096\"] \n  23 [size=\"85754880\", alpha=\"0.10\", expect_size=\"34301952\"] \n  23 -> 27 [size =\"34301952\"]\n  23 -> 30 [size =\"34301952\"]\n  23 -> 34 [size =\"34301952\"]\n  24 [size=\"92328960\", alpha=\"0.08\", expect_size=\"36931584\"] \n  24 -> 33 [size =\"36931584\"]\n  25 [size=\"50511360\", alpha=\"0.16\", expect_size=\"20204544\"] \n  25 -> 33 [size =\"20204544\"]\n  26 [size=\"67993600\", alpha=\"0.01\", expect_size=\"27197440\"] \n  26 -> 30 [size =\"27197440\"]\n  26 -> 33 [size =\"27197440\"]\n  27 [size=\"92047360\", alpha=\"0.05\", expect_size=\"36818944\"] \n  28 [size=\"102494720\", alpha=\"0.07\", expect_size=\"40997888\"] \n  29 [size=\"25054720\", alpha=\"0.04\", expect_size=\"10021888\"] \n  30 [size=\"40483840\", alpha=\"0.05\", expect_size=\"16193536\"] \n  31 [size=\"115653120\", alpha=\"0.18\", expect_size=\"46261248\"] \n  32 [size=\"76710400\", alpha=\"0.19\", expect_size=\"30684160\"] \n  33 [size=\"74170880\", alpha=\"0.06\", expect_size=\"29668352\"] \n  34 [size=\"13286400\", alpha=\"0.09\", expect_size=\"5314560\"] \n  35 [size=\"57699840\", alpha=\"0.19\", expect_size=\"23079936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126600533\", alpha=\"0.11\", expect_size=\"37980160\"] \n  1 -> 27 [size =\"37980160\"]\n  1 -> 29 [size =\"37980160\"]\n  1 -> 34 [size =\"37980160\"]\n  2 [size=\"41963520\", alpha=\"0.13\", expect_size=\"12589056\"] \n  2 -> 31 [size =\"12589056\"]\n  2 -> 33 [size =\"12589056\"]\n  3 [size=\"101761707\", alpha=\"0.12\", expect_size=\"30528512\"] \n  4 [size=\"61958827\", alpha=\"0.08\", expect_size=\"18587648\"] \n  4 -> 30 [size =\"18587648\"]\n  4 -> 32 [size =\"18587648\"]\n  4 -> 34 [size =\"18587648\"]\n  5 [size=\"88818347\", alpha=\"0.03\", expect_size=\"26645504\"] \n  5 -> 24 [size =\"26645504\"]\n  5 -> 27 [size =\"26645504\"]\n  5 -> 29 [size =\"26645504\"]\n  5 -> 31 [size =\"26645504\"]\n  5 -> 32 [size =\"26645504\"]\n  6 [size=\"162764800\", alpha=\"0.18\", expect_size=\"48829440\"] \n  6 -> 26 [size =\"48829440\"]\n  6 -> 27 [size =\"48829440\"]\n  6 -> 28 [size =\"48829440\"]\n  6 -> 29 [size =\"48829440\"]\n  6 -> 34 [size =\"48829440\"]\n  6 -> 35 [size =\"48829440\"]\n  7 [size=\"114493440\", alpha=\"0.13\", expect_size=\"34348032\"] \n  7 -> 24 [size =\"34348032\"]\n  7 -> 30 [size =\"34348032\"]\n  7 -> 32 [size =\"34348032\"]\n  7 -> 35 [size =\"34348032\"]\n  8 [size=\"112885760\", alpha=\"0.14\", expect_size=\"33865728\"] \n  8 -> 26 [size =\"33865728\"]\n  8 -> 28 [size =\"33865728\"]\n  8 -> 30 [size =\"33865728\"]\n  8 -> 32 [size =\"33865728\"]\n  9 [size=\"143117653\", alpha=\"0.01\", expect_size=\"42935296\"] \n  9 -> 28 [size =\"42935296\"]\n  9 -> 30 [size =\"42935296\"]\n  10 [size=\"110680747\", alpha=\"0.08\", expect_size=\"33204224\"] \n  10 -> 27 [size =\"33204224\"]\n  11 [size=\"43496107\", alpha=\"0.07\", expect_size=\"13048832\"] \n  11 -> 27 [size =\"13048832\"]\n  12 [size=\"130106027\", alpha=\"0.08\", expect_size=\"39031808\"] \n  12 -> 27 [size =\"39031808\"]\n  12 -> 28 [size =\"39031808\"]\n  13 [size=\"73960107\", alpha=\"0.17\", expect_size=\"22188032\"] \n  13 -> 26 [size =\"22188032\"]\n  13 -> 30 [size =\"22188032\"]\n  13 -> 35 [size =\"22188032\"]\n  14 [size=\"167697067\", alpha=\"0.00\", expect_size=\"50309120\"] \n  14 -> 25 [size =\"50309120\"]\n  14 -> 30 [size =\"50309120\"]\n  15 [size=\"71427413\", alpha=\"0.17\", expect_size=\"21428224\"] \n  15 -> 26 [size =\"21428224\"]\n  15 -> 31 [size =\"21428224\"]\n  15 -> 32 [size =\"21428224\"]\n  16 [size=\"94160213\", alpha=\"0.13\", expect_size=\"28248064\"] \n  16 -> 25 [size =\"28248064\"]\n  16 -> 27 [size =\"28248064\"]\n  16 -> 29 [size =\"28248064\"]\n  16 -> 34 [size =\"28248064\"]\n  17 [size=\"77946880\", alpha=\"0.09\", expect_size=\"23384064\"] \n  17 -> 27 [size =\"23384064\"]\n  17 -> 30 [size =\"23384064\"]\n  17 -> 31 [size =\"23384064\"]\n  18 [size=\"20125013\", alpha=\"0.08\", expect_size=\"6037504\"] \n  18 -> 33 [size =\"6037504\"]\n  18 -> 35 [size =\"6037504\"]\n  19 [size=\"134092800\", alpha=\"0.07\", expect_size=\"40227840\"] \n  19 -> 30 [size =\"40227840\"]\n  19 -> 31 [size =\"40227840\"]\n  19 -> 34 [size =\"40227840\"]\n  20 [size=\"140977493\", alpha=\"0.01\", expect_size=\"42293248\"] \n  20 -> 24 [size =\"42293248\"]\n  20 -> 27 [size =\"42293248\"]\n  20 -> 28 [size =\"42293248\"]\n  20 -> 30 [size =\"42293248\"]\n  20 -> 35 [size =\"42293248\"]\n  21 [size=\"44096853\", alpha=\"0.10\", expect_size=\"13229056\"] \n  21 -> 26 [size =\"13229056\"]\n  21 -> 30 [size =\"13229056\"]\n  22 [size=\"102570667\", alpha=\"0.02\", expect_size=\"30771200\"] \n  22 -> 26 [size =\"30771200\"]\n  22 -> 29 [size =\"30771200\"]\n  22 -> 30 [size =\"30771200\"]\n  22 -> 33 [size =\"30771200\"]\n  23 [size=\"166034773\", alpha=\"0.05\", expect_size=\"49810432\"] \n  23 -> 25 [size =\"49810432\"]\n  23 -> 27 [size =\"49810432\"]\n  23 -> 28 [size =\"49810432\"]\n  23 -> 30 [size =\"49810432\"]\n  24 [size=\"139294720\", alpha=\"0.13\", expect_size=\"41788416\"] \n  25 [size=\"141144747\", alpha=\"0.10\", expect_size=\"42343424\"] \n  26 [size=\"120057173\", alpha=\"0.06\", expect_size=\"36017152\"] \n  27 [size=\"67904853\", alpha=\"0.14\", expect_size=\"20371456\"] \n  28 [size=\"136782507\", alpha=\"0.14\", expect_size=\"41034752\"] \n  29 [size=\"44646400\", alpha=\"0.10\", expect_size=\"13393920\"] \n  30 [size=\"96716800\", alpha=\"0.18\", expect_size=\"29015040\"] \n  31 [size=\"108192427\", alpha=\"0.10\", expect_size=\"32457728\"] \n  32 [size=\"30904320\", alpha=\"0.15\", expect_size=\"9271296\"] \n  33 [size=\"46629547\", alpha=\"0.08\", expect_size=\"13988864\"] \n  34 [size=\"82370560\", alpha=\"0.00\", expect_size=\"24711168\"] \n  35 [size=\"25323520\", alpha=\"0.19\", expect_size=\"7597056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84323840\", alpha=\"0.07\", expect_size=\"33729536\"] \n  1 -> 11 [size =\"33729536\"]\n  1 -> 12 [size =\"33729536\"]\n  1 -> 13 [size =\"33729536\"]\n  1 -> 14 [size =\"33729536\"]\n  1 -> 15 [size =\"33729536\"]\n  1 -> 16 [size =\"33729536\"]\n  1 -> 17 [size =\"33729536\"]\n  1 -> 19 [size =\"33729536\"]\n  1 -> 20 [size =\"33729536\"]\n  1 -> 21 [size =\"33729536\"]\n  1 -> 23 [size =\"33729536\"]\n  2 [size=\"13306880\", alpha=\"0.13\", expect_size=\"5322752\"] \n  2 -> 12 [size =\"5322752\"]\n  2 -> 15 [size =\"5322752\"]\n  2 -> 16 [size =\"5322752\"]\n  2 -> 18 [size =\"5322752\"]\n  2 -> 19 [size =\"5322752\"]\n  2 -> 21 [size =\"5322752\"]\n  2 -> 22 [size =\"5322752\"]\n  2 -> 23 [size =\"5322752\"]\n  2 -> 24 [size =\"5322752\"]\n  2 -> 25 [size =\"5322752\"]\n  3 [size=\"75363840\", alpha=\"0.08\", expect_size=\"30145536\"] \n  3 -> 12 [size =\"30145536\"]\n  3 -> 13 [size =\"30145536\"]\n  3 -> 15 [size =\"30145536\"]\n  3 -> 16 [size =\"30145536\"]\n  3 -> 17 [size =\"30145536\"]\n  3 -> 18 [size =\"30145536\"]\n  3 -> 19 [size =\"30145536\"]\n  3 -> 21 [size =\"30145536\"]\n  3 -> 25 [size =\"30145536\"]\n  4 [size=\"32215040\", alpha=\"0.08\", expect_size=\"12886016\"] \n  4 -> 12 [size =\"12886016\"]\n  4 -> 15 [size =\"12886016\"]\n  4 -> 15 [size =\"12886016\"]\n  4 -> 19 [size =\"12886016\"]\n  4 -> 20 [size =\"12886016\"]\n  4 -> 21 [size =\"12886016\"]\n  4 -> 23 [size =\"12886016\"]\n  4 -> 25 [size =\"12886016\"]\n  4 -> 25 [size =\"12886016\"]\n  5 [size=\"109140480\", alpha=\"0.09\", expect_size=\"43656192\"] \n  5 -> 12 [size =\"43656192\"]\n  5 -> 13 [size =\"43656192\"]\n  5 -> 14 [size =\"43656192\"]\n  5 -> 18 [size =\"43656192\"]\n  5 -> 19 [size =\"43656192\"]\n  5 -> 20 [size =\"43656192\"]\n  5 -> 21 [size =\"43656192\"]\n  5 -> 23 [size =\"43656192\"]\n  5 -> 25 [size =\"43656192\"]\n  6 [size=\"48816640\", alpha=\"0.10\", expect_size=\"19526656\"] \n  6 -> 14 [size =\"19526656\"]\n  6 -> 16 [size =\"19526656\"]\n  6 -> 18 [size =\"19526656\"]\n  6 -> 25 [size =\"19526656\"]\n  7 [size=\"44157440\", alpha=\"0.14\", expect_size=\"17662976\"] \n  7 -> 16 [size =\"17662976\"]\n  7 -> 19 [size =\"17662976\"]\n  7 -> 24 [size =\"17662976\"]\n  7 -> 25 [size =\"17662976\"]\n  8 [size=\"17617920\", alpha=\"0.13\", expect_size=\"7047168\"] \n  8 -> 13 [size =\"7047168\"]\n  8 -> 15 [size =\"7047168\"]\n  8 -> 16 [size =\"7047168\"]\n  8 -> 17 [size =\"7047168\"]\n  8 -> 19 [size =\"7047168\"]\n  8 -> 25 [size =\"7047168\"]\n  9 [size=\"126909440\", alpha=\"0.14\", expect_size=\"50763776\"] \n  9 -> 11 [size =\"50763776\"]\n  9 -> 14 [size =\"50763776\"]\n  9 -> 15 [size =\"50763776\"]\n  9 -> 17 [size =\"50763776\"]\n  9 -> 18 [size =\"50763776\"]\n  9 -> 19 [size =\"50763776\"]\n  9 -> 23 [size =\"50763776\"]\n  10 [size=\"57730560\", alpha=\"0.17\", expect_size=\"23092224\"] \n  10 -> 15 [size =\"23092224\"]\n  10 -> 17 [size =\"23092224\"]\n  10 -> 18 [size =\"23092224\"]\n  10 -> 19 [size =\"23092224\"]\n  10 -> 21 [size =\"23092224\"]\n  10 -> 23 [size =\"23092224\"]\n  11 [size=\"129717760\", alpha=\"0.01\", expect_size=\"51887104\"] \n  11 -> 26 [size =\"51887104\"]\n  11 -> 31 [size =\"51887104\"]\n  11 -> 32 [size =\"51887104\"]\n  12 [size=\"51927040\", alpha=\"0.17\", expect_size=\"20770816\"] \n  12 -> 26 [size =\"20770816\"]\n  12 -> 31 [size =\"20770816\"]\n  12 -> 32 [size =\"20770816\"]\n  13 [size=\"125864960\", alpha=\"0.01\", expect_size=\"50345984\"] \n  13 -> 26 [size =\"50345984\"]\n  13 -> 27 [size =\"50345984\"]\n  13 -> 31 [size =\"50345984\"]\n  13 -> 32 [size =\"50345984\"]\n  14 [size=\"53317120\", alpha=\"0.02\", expect_size=\"21326848\"] \n  14 -> 28 [size =\"21326848\"]\n  14 -> 30 [size =\"21326848\"]\n  14 -> 31 [size =\"21326848\"]\n  14 -> 32 [size =\"21326848\"]\n  15 [size=\"102051840\", alpha=\"0.09\", expect_size=\"40820736\"] \n  15 -> 31 [size =\"40820736\"]\n  15 -> 32 [size =\"40820736\"]\n  16 [size=\"35018240\", alpha=\"0.20\", expect_size=\"14007296\"] \n  16 -> 31 [size =\"14007296\"]\n  16 -> 32 [size =\"14007296\"]\n  17 [size=\"91742720\", alpha=\"0.03\", expect_size=\"36697088\"] \n  17 -> 31 [size =\"36697088\"]\n  17 -> 32 [size =\"36697088\"]\n  18 [size=\"56327680\", alpha=\"0.17\", expect_size=\"22531072\"] \n  18 -> 26 [size =\"22531072\"]\n  18 -> 27 [size =\"22531072\"]\n  18 -> 28 [size =\"22531072\"]\n  18 -> 30 [size =\"22531072\"]\n  18 -> 31 [size =\"22531072\"]\n  19 [size=\"16381440\", alpha=\"0.12\", expect_size=\"6552576\"] \n  19 -> 26 [size =\"6552576\"]\n  19 -> 28 [size =\"6552576\"]\n  19 -> 31 [size =\"6552576\"]\n  20 [size=\"101166080\", alpha=\"0.04\", expect_size=\"40466432\"] \n  20 -> 28 [size =\"40466432\"]\n  20 -> 29 [size =\"40466432\"]\n  20 -> 31 [size =\"40466432\"]\n  20 -> 32 [size =\"40466432\"]\n  21 [size=\"83107840\", alpha=\"0.07\", expect_size=\"33243136\"] \n  21 -> 26 [size =\"33243136\"]\n  21 -> 29 [size =\"33243136\"]\n  21 -> 32 [size =\"33243136\"]\n  21 -> 32 [size =\"33243136\"]\n  22 [size=\"90260480\", alpha=\"0.11\", expect_size=\"36104192\"] \n  22 -> 28 [size =\"36104192\"]\n  22 -> 32 [size =\"36104192\"]\n  23 [size=\"74229760\", alpha=\"0.05\", expect_size=\"29691904\"] \n  24 [size=\"82506240\", alpha=\"0.03\", expect_size=\"33002496\"] \n  24 -> 31 [size =\"33002496\"]\n  25 [size=\"92085760\", alpha=\"0.16\", expect_size=\"36834304\"] \n  25 -> 26 [size =\"36834304\"]\n  25 -> 29 [size =\"36834304\"]\n  25 -> 31 [size =\"36834304\"]\n  25 -> 32 [size =\"36834304\"]\n  26 [size=\"26319360\", alpha=\"0.16\", expect_size=\"10527744\"] \n  26 -> 33 [size =\"10527744\"]\n  27 [size=\"25594880\", alpha=\"0.01\", expect_size=\"10237952\"] \n  28 [size=\"43681280\", alpha=\"0.07\", expect_size=\"17472512\"] \n  28 -> 34 [size =\"17472512\"]\n  28 -> 35 [size =\"17472512\"]\n  29 [size=\"23500800\", alpha=\"0.12\", expect_size=\"9400320\"] \n  29 -> 34 [size =\"9400320\"]\n  30 [size=\"95016960\", alpha=\"0.05\", expect_size=\"38006784\"] \n  30 -> 34 [size =\"38006784\"]\n  30 -> 35 [size =\"38006784\"]\n  31 [size=\"116674560\", alpha=\"0.17\", expect_size=\"46669824\"] \n  31 -> 33 [size =\"46669824\"]\n  31 -> 34 [size =\"46669824\"]\n  32 [size=\"41722880\", alpha=\"0.16\", expect_size=\"16689152\"] \n  32 -> 33 [size =\"16689152\"]\n  32 -> 34 [size =\"16689152\"]\n  32 -> 35 [size =\"16689152\"]\n  33 [size=\"106296320\", alpha=\"0.14\", expect_size=\"42518528\"] \n  34 [size=\"18757120\", alpha=\"0.19\", expect_size=\"7502848\"] \n  35 [size=\"34145280\", alpha=\"0.19\", expect_size=\"13658112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88948053\", alpha=\"0.16\", expect_size=\"26684416\"] \n  1 -> 2 [size =\"26684416\"]\n  2 [size=\"49035947\", alpha=\"0.07\", expect_size=\"14710784\"] \n  2 -> 3 [size =\"14710784\"]\n  3 [size=\"69649067\", alpha=\"0.03\", expect_size=\"20894720\"] \n  3 -> 4 [size =\"20894720\"]\n  4 [size=\"27282773\", alpha=\"0.13\", expect_size=\"8184832\"] \n  4 -> 5 [size =\"8184832\"]\n  5 [size=\"154845867\", alpha=\"0.14\", expect_size=\"46453760\"] \n  5 -> 6 [size =\"46453760\"]\n  6 [size=\"167830187\", alpha=\"0.01\", expect_size=\"50349056\"] \n  6 -> 7 [size =\"50349056\"]\n  7 [size=\"166935893\", alpha=\"0.05\", expect_size=\"50080768\"] \n  7 -> 8 [size =\"50080768\"]\n  8 [size=\"137291093\", alpha=\"0.02\", expect_size=\"41187328\"] \n  8 -> 9 [size =\"41187328\"]\n  9 [size=\"134850560\", alpha=\"0.12\", expect_size=\"40455168\"] \n  9 -> 10 [size =\"40455168\"]\n  10 [size=\"31259307\", alpha=\"0.12\", expect_size=\"9377792\"] \n  10 -> 11 [size =\"9377792\"]\n  11 [size=\"27241813\", alpha=\"0.04\", expect_size=\"8172544\"] \n  11 -> 12 [size =\"8172544\"]\n  12 [size=\"151268693\", alpha=\"0.20\", expect_size=\"45380608\"] \n  12 -> 13 [size =\"45380608\"]\n  13 [size=\"48994987\", alpha=\"0.15\", expect_size=\"14698496\"] \n  13 -> 14 [size =\"14698496\"]\n  14 [size=\"73096533\", alpha=\"0.09\", expect_size=\"21928960\"] \n  14 -> 15 [size =\"21928960\"]\n  15 [size=\"171813547\", alpha=\"0.08\", expect_size=\"51544064\"] \n  15 -> 16 [size =\"51544064\"]\n  16 [size=\"123364693\", alpha=\"0.05\", expect_size=\"37009408\"] \n  16 -> 17 [size =\"37009408\"]\n  17 [size=\"127870293\", alpha=\"0.06\", expect_size=\"38361088\"] \n  17 -> 18 [size =\"38361088\"]\n  18 [size=\"169642667\", alpha=\"0.17\", expect_size=\"50892800\"] \n  18 -> 19 [size =\"50892800\"]\n  19 [size=\"26757120\", alpha=\"0.13\", expect_size=\"8027136\"] \n  19 -> 20 [size =\"8027136\"]\n  20 [size=\"121668267\", alpha=\"0.00\", expect_size=\"36500480\"] \n  20 -> 21 [size =\"36500480\"]\n  21 [size=\"54862507\", alpha=\"0.17\", expect_size=\"16458752\"] \n  21 -> 22 [size =\"16458752\"]\n  22 [size=\"85203627\", alpha=\"0.17\", expect_size=\"25561088\"] \n  22 -> 23 [size =\"25561088\"]\n  23 [size=\"81704960\", alpha=\"0.04\", expect_size=\"24511488\"] \n  23 -> 24 [size =\"24511488\"]\n  24 [size=\"42874880\", alpha=\"0.13\", expect_size=\"12862464\"] \n  24 -> 25 [size =\"12862464\"]\n  25 [size=\"113834667\", alpha=\"0.18\", expect_size=\"34150400\"] \n  25 -> 26 [size =\"34150400\"]\n  26 [size=\"22845440\", alpha=\"0.03\", expect_size=\"6853632\"] \n  26 -> 27 [size =\"6853632\"]\n  27 [size=\"61149867\", alpha=\"0.07\", expect_size=\"18344960\"] \n  27 -> 28 [size =\"18344960\"]\n  28 [size=\"110172160\", alpha=\"0.06\", expect_size=\"33051648\"] \n  28 -> 29 [size =\"33051648\"]\n  29 [size=\"89268907\", alpha=\"0.00\", expect_size=\"26780672\"] \n  29 -> 30 [size =\"26780672\"]\n  30 [size=\"35177813\", alpha=\"0.16\", expect_size=\"10553344\"] \n  30 -> 31 [size =\"10553344\"]\n  31 [size=\"38652587\", alpha=\"0.13\", expect_size=\"11595776\"] \n  31 -> 32 [size =\"11595776\"]\n  32 [size=\"171165013\", alpha=\"0.07\", expect_size=\"51349504\"] \n  32 -> 33 [size =\"51349504\"]\n  33 [size=\"149705387\", alpha=\"0.05\", expect_size=\"44911616\"] \n  33 -> 34 [size =\"44911616\"]\n  34 [size=\"26443093\", alpha=\"0.11\", expect_size=\"7932928\"] \n  34 -> 35 [size =\"7932928\"]\n  35 [size=\"125760853\", alpha=\"0.15\", expect_size=\"37728256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29194240\", alpha=\"0.12\", expect_size=\"8758272\"] \n  1 -> 2 [size =\"8758272\"]\n  2 [size=\"60559360\", alpha=\"0.11\", expect_size=\"18167808\"] \n  2 -> 3 [size =\"18167808\"]\n  3 [size=\"17967787\", alpha=\"0.07\", expect_size=\"5390336\"] \n  3 -> 4 [size =\"5390336\"]\n  4 [size=\"136325120\", alpha=\"0.18\", expect_size=\"40897536\"] \n  4 -> 5 [size =\"40897536\"]\n  5 [size=\"78438400\", alpha=\"0.08\", expect_size=\"23531520\"] \n  5 -> 6 [size =\"23531520\"]\n  6 [size=\"110943573\", alpha=\"0.16\", expect_size=\"33283072\"] \n  6 -> 7 [size =\"33283072\"]\n  7 [size=\"36867413\", alpha=\"0.06\", expect_size=\"11060224\"] \n  7 -> 8 [size =\"11060224\"]\n  8 [size=\"133133653\", alpha=\"0.02\", expect_size=\"39940096\"] \n  8 -> 9 [size =\"39940096\"]\n  9 [size=\"41598293\", alpha=\"0.15\", expect_size=\"12479488\"] \n  9 -> 10 [size =\"12479488\"]\n  10 [size=\"19452587\", alpha=\"0.09\", expect_size=\"5835776\"] \n  10 -> 11 [size =\"5835776\"]\n  11 [size=\"49916587\", alpha=\"0.09\", expect_size=\"14974976\"] \n  11 -> 12 [size =\"14974976\"]\n  12 [size=\"147135147\", alpha=\"0.13\", expect_size=\"44140544\"] \n  12 -> 13 [size =\"44140544\"]\n  13 [size=\"72577707\", alpha=\"0.10\", expect_size=\"21773312\"] \n  13 -> 14 [size =\"21773312\"]\n  14 [size=\"126402560\", alpha=\"0.14\", expect_size=\"37920768\"] \n  14 -> 15 [size =\"37920768\"]\n  15 [size=\"112616107\", alpha=\"0.16\", expect_size=\"33784832\"] \n  15 -> 16 [size =\"33784832\"]\n  16 [size=\"19554987\", alpha=\"0.09\", expect_size=\"5866496\"] \n  16 -> 17 [size =\"5866496\"]\n  17 [size=\"143298560\", alpha=\"0.12\", expect_size=\"42989568\"] \n  17 -> 18 [size =\"42989568\"]\n  18 [size=\"36174507\", alpha=\"0.17\", expect_size=\"10852352\"] \n  18 -> 19 [size =\"10852352\"]\n  19 [size=\"51756373\", alpha=\"0.09\", expect_size=\"15526912\"] \n  19 -> 20 [size =\"15526912\"]\n  20 [size=\"172868267\", alpha=\"0.18\", expect_size=\"51860480\"] \n  20 -> 21 [size =\"51860480\"]\n  21 [size=\"82725547\", alpha=\"0.08\", expect_size=\"24817664\"] \n  21 -> 22 [size =\"24817664\"]\n  22 [size=\"151517867\", alpha=\"0.05\", expect_size=\"45455360\"] \n  22 -> 23 [size =\"45455360\"]\n  23 [size=\"99584000\", alpha=\"0.01\", expect_size=\"29875200\"] \n  23 -> 24 [size =\"29875200\"]\n  24 [size=\"22807893\", alpha=\"0.12\", expect_size=\"6842368\"] \n  24 -> 25 [size =\"6842368\"]\n  25 [size=\"131850240\", alpha=\"0.11\", expect_size=\"39555072\"] \n  25 -> 26 [size =\"39555072\"]\n  26 [size=\"98966187\", alpha=\"0.02\", expect_size=\"29689856\"] \n  26 -> 27 [size =\"29689856\"]\n  27 [size=\"172257280\", alpha=\"0.15\", expect_size=\"51677184\"] \n  27 -> 28 [size =\"51677184\"]\n  28 [size=\"109585067\", alpha=\"0.03\", expect_size=\"32875520\"] \n  28 -> 29 [size =\"32875520\"]\n  29 [size=\"82312533\", alpha=\"0.15\", expect_size=\"24693760\"] \n  29 -> 30 [size =\"24693760\"]\n  30 [size=\"149920427\", alpha=\"0.06\", expect_size=\"44976128\"] \n  30 -> 31 [size =\"44976128\"]\n  31 [size=\"132215467\", alpha=\"0.02\", expect_size=\"39664640\"] \n  31 -> 32 [size =\"39664640\"]\n  32 [size=\"40912213\", alpha=\"0.14\", expect_size=\"12273664\"] \n  32 -> 33 [size =\"12273664\"]\n  33 [size=\"76380160\", alpha=\"0.13\", expect_size=\"22914048\"] \n  33 -> 34 [size =\"22914048\"]\n  34 [size=\"81831253\", alpha=\"0.06\", expect_size=\"24549376\"] \n  34 -> 35 [size =\"24549376\"]\n  35 [size=\"18827947\", alpha=\"0.11\", expect_size=\"5648384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24412160\", alpha=\"0.11\", expect_size=\"9764864\"] \n  1 -> 2 [size =\"9764864\"]\n  2 [size=\"35189760\", alpha=\"0.14\", expect_size=\"14075904\"] \n  2 -> 3 [size =\"14075904\"]\n  3 [size=\"125521920\", alpha=\"0.15\", expect_size=\"50208768\"] \n  3 -> 4 [size =\"50208768\"]\n  4 [size=\"56803840\", alpha=\"0.04\", expect_size=\"22721536\"] \n  4 -> 5 [size =\"22721536\"]\n  5 [size=\"20034560\", alpha=\"0.06\", expect_size=\"8013824\"] \n  5 -> 6 [size =\"8013824\"]\n  6 [size=\"44326400\", alpha=\"0.02\", expect_size=\"17730560\"] \n  6 -> 7 [size =\"17730560\"]\n  7 [size=\"121466880\", alpha=\"0.07\", expect_size=\"48586752\"] \n  7 -> 8 [size =\"48586752\"]\n  8 [size=\"129681920\", alpha=\"0.15\", expect_size=\"51872768\"] \n  8 -> 9 [size =\"51872768\"]\n  9 [size=\"96558080\", alpha=\"0.16\", expect_size=\"38623232\"] \n  9 -> 10 [size =\"38623232\"]\n  10 [size=\"124881920\", alpha=\"0.15\", expect_size=\"49952768\"] \n  10 -> 11 [size =\"49952768\"]\n  11 [size=\"70679040\", alpha=\"0.04\", expect_size=\"28271616\"] \n  11 -> 12 [size =\"28271616\"]\n  12 [size=\"18152960\", alpha=\"0.07\", expect_size=\"7261184\"] \n  12 -> 13 [size =\"7261184\"]\n  13 [size=\"103656960\", alpha=\"0.01\", expect_size=\"41462784\"] \n  13 -> 14 [size =\"41462784\"]\n  14 [size=\"74741760\", alpha=\"0.02\", expect_size=\"29896704\"] \n  14 -> 15 [size =\"29896704\"]\n  15 [size=\"100211200\", alpha=\"0.18\", expect_size=\"40084480\"] \n  15 -> 16 [size =\"40084480\"]\n  16 [size=\"18362880\", alpha=\"0.20\", expect_size=\"7345152\"] \n  16 -> 17 [size =\"7345152\"]\n  17 [size=\"31925760\", alpha=\"0.13\", expect_size=\"12770304\"] \n  17 -> 18 [size =\"12770304\"]\n  18 [size=\"74081280\", alpha=\"0.12\", expect_size=\"29632512\"] \n  18 -> 19 [size =\"29632512\"]\n  19 [size=\"44564480\", alpha=\"0.17\", expect_size=\"17825792\"] \n  19 -> 20 [size =\"17825792\"]\n  20 [size=\"20940800\", alpha=\"0.04\", expect_size=\"8376320\"] \n  20 -> 21 [size =\"8376320\"]\n  21 [size=\"109376000\", alpha=\"0.13\", expect_size=\"43750400\"] \n  21 -> 22 [size =\"43750400\"]\n  22 [size=\"17704960\", alpha=\"0.05\", expect_size=\"7081984\"] \n  22 -> 23 [size =\"7081984\"]\n  23 [size=\"58178560\", alpha=\"0.16\", expect_size=\"23271424\"] \n  23 -> 24 [size =\"23271424\"]\n  24 [size=\"66301440\", alpha=\"0.15\", expect_size=\"26520576\"] \n  24 -> 25 [size =\"26520576\"]\n  25 [size=\"80555520\", alpha=\"0.15\", expect_size=\"32222208\"] \n  25 -> 26 [size =\"32222208\"]\n  26 [size=\"68308480\", alpha=\"0.01\", expect_size=\"27323392\"] \n  26 -> 27 [size =\"27323392\"]\n  27 [size=\"66293760\", alpha=\"0.05\", expect_size=\"26517504\"] \n  27 -> 28 [size =\"26517504\"]\n  28 [size=\"26600960\", alpha=\"0.08\", expect_size=\"10640384\"] \n  28 -> 29 [size =\"10640384\"]\n  29 [size=\"95784960\", alpha=\"0.06\", expect_size=\"38313984\"] \n  29 -> 30 [size =\"38313984\"]\n  30 [size=\"78899200\", alpha=\"0.02\", expect_size=\"31559680\"] \n  30 -> 31 [size =\"31559680\"]\n  31 [size=\"101908480\", alpha=\"0.09\", expect_size=\"40763392\"] \n  31 -> 32 [size =\"40763392\"]\n  32 [size=\"58150400\", alpha=\"0.16\", expect_size=\"23260160\"] \n  32 -> 33 [size =\"23260160\"]\n  33 [size=\"87677440\", alpha=\"0.18\", expect_size=\"35070976\"] \n  33 -> 34 [size =\"35070976\"]\n  34 [size=\"66972160\", alpha=\"0.11\", expect_size=\"26788864\"] \n  34 -> 35 [size =\"26788864\"]\n  35 [size=\"39736320\", alpha=\"0.19\", expect_size=\"15894528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58501120\", alpha=\"0.16\", expect_size=\"23400448\"] \n  1 -> 2 [size =\"23400448\"]\n  2 [size=\"20177920\", alpha=\"0.02\", expect_size=\"8071168\"] \n  2 -> 3 [size =\"8071168\"]\n  3 [size=\"111872000\", alpha=\"0.09\", expect_size=\"44748800\"] \n  3 -> 4 [size =\"44748800\"]\n  4 [size=\"54338560\", alpha=\"0.06\", expect_size=\"21735424\"] \n  4 -> 5 [size =\"21735424\"]\n  5 [size=\"118184960\", alpha=\"0.06\", expect_size=\"47273984\"] \n  5 -> 6 [size =\"47273984\"]\n  6 [size=\"61268480\", alpha=\"0.14\", expect_size=\"24507392\"] \n  6 -> 7 [size =\"24507392\"]\n  7 [size=\"66613760\", alpha=\"0.17\", expect_size=\"26645504\"] \n  7 -> 8 [size =\"26645504\"]\n  8 [size=\"67968000\", alpha=\"0.03\", expect_size=\"27187200\"] \n  8 -> 9 [size =\"27187200\"]\n  9 [size=\"54333440\", alpha=\"0.08\", expect_size=\"21733376\"] \n  9 -> 10 [size =\"21733376\"]\n  10 [size=\"127290880\", alpha=\"0.13\", expect_size=\"50916352\"] \n  10 -> 11 [size =\"50916352\"]\n  11 [size=\"15779840\", alpha=\"0.08\", expect_size=\"6311936\"] \n  11 -> 12 [size =\"6311936\"]\n  12 [size=\"108477440\", alpha=\"0.07\", expect_size=\"43390976\"] \n  12 -> 13 [size =\"43390976\"]\n  13 [size=\"122519040\", alpha=\"0.15\", expect_size=\"49007616\"] \n  13 -> 14 [size =\"49007616\"]\n  14 [size=\"56972800\", alpha=\"0.19\", expect_size=\"22789120\"] \n  14 -> 15 [size =\"22789120\"]\n  15 [size=\"94231040\", alpha=\"0.07\", expect_size=\"37692416\"] \n  15 -> 16 [size =\"37692416\"]\n  16 [size=\"127503360\", alpha=\"0.15\", expect_size=\"51001344\"] \n  16 -> 17 [size =\"51001344\"]\n  17 [size=\"90560000\", alpha=\"0.09\", expect_size=\"36224000\"] \n  17 -> 18 [size =\"36224000\"]\n  18 [size=\"75632640\", alpha=\"0.06\", expect_size=\"30253056\"] \n  18 -> 19 [size =\"30253056\"]\n  19 [size=\"92016640\", alpha=\"0.12\", expect_size=\"36806656\"] \n  19 -> 20 [size =\"36806656\"]\n  20 [size=\"21148160\", alpha=\"0.07\", expect_size=\"8459264\"] \n  20 -> 21 [size =\"8459264\"]\n  21 [size=\"99048960\", alpha=\"0.11\", expect_size=\"39619584\"] \n  21 -> 22 [size =\"39619584\"]\n  22 [size=\"26032640\", alpha=\"0.15\", expect_size=\"10413056\"] \n  22 -> 23 [size =\"10413056\"]\n  23 [size=\"67691520\", alpha=\"0.17\", expect_size=\"27076608\"] \n  23 -> 24 [size =\"27076608\"]\n  24 [size=\"37821440\", alpha=\"0.05\", expect_size=\"15128576\"] \n  24 -> 25 [size =\"15128576\"]\n  25 [size=\"30791680\", alpha=\"0.11\", expect_size=\"12316672\"] \n  25 -> 26 [size =\"12316672\"]\n  26 [size=\"74995200\", alpha=\"0.05\", expect_size=\"29998080\"] \n  26 -> 27 [size =\"29998080\"]\n  27 [size=\"45696000\", alpha=\"0.09\", expect_size=\"18278400\"] \n  27 -> 28 [size =\"18278400\"]\n  28 [size=\"98590720\", alpha=\"0.02\", expect_size=\"39436288\"] \n  28 -> 29 [size =\"39436288\"]\n  29 [size=\"14566400\", alpha=\"0.01\", expect_size=\"5826560\"] \n  29 -> 30 [size =\"5826560\"]\n  30 [size=\"82869760\", alpha=\"0.00\", expect_size=\"33147904\"] \n  30 -> 31 [size =\"33147904\"]\n  31 [size=\"125847040\", alpha=\"0.20\", expect_size=\"50338816\"] \n  31 -> 32 [size =\"50338816\"]\n  32 [size=\"70927360\", alpha=\"0.15\", expect_size=\"28370944\"] \n  32 -> 33 [size =\"28370944\"]\n  33 [size=\"43146240\", alpha=\"0.10\", expect_size=\"17258496\"] \n  33 -> 34 [size =\"17258496\"]\n  34 [size=\"23306240\", alpha=\"0.11\", expect_size=\"9322496\"] \n  34 -> 35 [size =\"9322496\"]\n  35 [size=\"52641280\", alpha=\"0.07\", expect_size=\"21056512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138523307\", alpha=\"0.03\", expect_size=\"41556992\"] \n  1 -> 6 [size =\"41556992\"]\n  2 [size=\"118763520\", alpha=\"0.13\", expect_size=\"35629056\"] \n  2 -> 5 [size =\"35629056\"]\n  3 [size=\"124586667\", alpha=\"0.15\", expect_size=\"37376000\"] \n  3 -> 6 [size =\"37376000\"]\n  4 [size=\"134888107\", alpha=\"0.13\", expect_size=\"40466432\"] \n  4 -> 5 [size =\"40466432\"]\n  4 -> 6 [size =\"40466432\"]\n  5 [size=\"107407360\", alpha=\"0.02\", expect_size=\"32222208\"] \n  5 -> 8 [size =\"32222208\"]\n  6 [size=\"30689280\", alpha=\"0.14\", expect_size=\"9206784\"] \n  6 -> 7 [size =\"9206784\"]\n  6 -> 9 [size =\"9206784\"]\n  7 [size=\"109001387\", alpha=\"0.05\", expect_size=\"32700416\"] \n  7 -> 10 [size =\"32700416\"]\n  7 -> 12 [size =\"32700416\"]\n  7 -> 13 [size =\"32700416\"]\n  8 [size=\"131321173\", alpha=\"0.07\", expect_size=\"39396352\"] \n  8 -> 11 [size =\"39396352\"]\n  8 -> 12 [size =\"39396352\"]\n  9 [size=\"153787733\", alpha=\"0.12\", expect_size=\"46136320\"] \n  9 -> 11 [size =\"46136320\"]\n  9 -> 13 [size =\"46136320\"]\n  10 [size=\"108161707\", alpha=\"0.06\", expect_size=\"32448512\"] \n  10 -> 14 [size =\"32448512\"]\n  10 -> 15 [size =\"32448512\"]\n  11 [size=\"98798933\", alpha=\"0.14\", expect_size=\"29639680\"] \n  11 -> 14 [size =\"29639680\"]\n  12 [size=\"125306880\", alpha=\"0.02\", expect_size=\"37592064\"] \n  12 -> 14 [size =\"37592064\"]\n  12 -> 16 [size =\"37592064\"]\n  13 [size=\"70420480\", alpha=\"0.05\", expect_size=\"21126144\"] \n  13 -> 16 [size =\"21126144\"]\n  14 [size=\"27275947\", alpha=\"0.10\", expect_size=\"8182784\"] \n  14 -> 17 [size =\"8182784\"]\n  14 -> 18 [size =\"8182784\"]\n  14 -> 19 [size =\"8182784\"]\n  14 -> 22 [size =\"8182784\"]\n  15 [size=\"131665920\", alpha=\"0.20\", expect_size=\"39499776\"] \n  15 -> 20 [size =\"39499776\"]\n  15 -> 22 [size =\"39499776\"]\n  16 [size=\"150244693\", alpha=\"0.03\", expect_size=\"45073408\"] \n  16 -> 17 [size =\"45073408\"]\n  16 -> 19 [size =\"45073408\"]\n  16 -> 20 [size =\"45073408\"]\n  16 -> 21 [size =\"45073408\"]\n  17 [size=\"102355627\", alpha=\"0.02\", expect_size=\"30706688\"] \n  17 -> 24 [size =\"30706688\"]\n  18 [size=\"145087147\", alpha=\"0.07\", expect_size=\"43526144\"] \n  18 -> 23 [size =\"43526144\"]\n  18 -> 25 [size =\"43526144\"]\n  19 [size=\"40154453\", alpha=\"0.20\", expect_size=\"12046336\"] \n  19 -> 25 [size =\"12046336\"]\n  19 -> 25 [size =\"12046336\"]\n  20 [size=\"134301013\", alpha=\"0.00\", expect_size=\"40290304\"] \n  20 -> 24 [size =\"40290304\"]\n  20 -> 26 [size =\"40290304\"]\n  21 [size=\"21831680\", alpha=\"0.16\", expect_size=\"6549504\"] \n  21 -> 23 [size =\"6549504\"]\n  22 [size=\"134823253\", alpha=\"0.04\", expect_size=\"40446976\"] \n  22 -> 25 [size =\"40446976\"]\n  23 [size=\"151394987\", alpha=\"0.07\", expect_size=\"45418496\"] \n  23 -> 28 [size =\"45418496\"]\n  23 -> 29 [size =\"45418496\"]\n  23 -> 30 [size =\"45418496\"]\n  24 [size=\"29941760\", alpha=\"0.04\", expect_size=\"8982528\"] \n  24 -> 29 [size =\"8982528\"]\n  24 -> 31 [size =\"8982528\"]\n  25 [size=\"106997760\", alpha=\"0.12\", expect_size=\"32099328\"] \n  25 -> 29 [size =\"32099328\"]\n  26 [size=\"103164587\", alpha=\"0.03\", expect_size=\"30949376\"] \n  26 -> 27 [size =\"30949376\"]\n  26 -> 30 [size =\"30949376\"]\n  27 [size=\"123142827\", alpha=\"0.04\", expect_size=\"36942848\"] \n  27 -> 32 [size =\"36942848\"]\n  27 -> 34 [size =\"36942848\"]\n  28 [size=\"134942720\", alpha=\"0.01\", expect_size=\"40482816\"] \n  28 -> 32 [size =\"40482816\"]\n  28 -> 35 [size =\"40482816\"]\n  29 [size=\"32341333\", alpha=\"0.14\", expect_size=\"9702400\"] \n  29 -> 32 [size =\"9702400\"]\n  30 [size=\"31757653\", alpha=\"0.20\", expect_size=\"9527296\"] \n  30 -> 32 [size =\"9527296\"]\n  30 -> 33 [size =\"9527296\"]\n  31 [size=\"33450667\", alpha=\"0.15\", expect_size=\"10035200\"] \n  31 -> 33 [size =\"10035200\"]\n  31 -> 34 [size =\"10035200\"]\n  32 [size=\"158474240\", alpha=\"0.04\", expect_size=\"47542272\"] \n  33 [size=\"36253013\", alpha=\"0.00\", expect_size=\"10875904\"] \n  34 [size=\"88470187\", alpha=\"0.18\", expect_size=\"26541056\"] \n  35 [size=\"117971627\", alpha=\"0.09\", expect_size=\"35391488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76804096\", alpha=\"0.08\", expect_size=\"38402048\"] \n  1 -> 3 [size =\"38402048\"]\n  2 [size=\"10973184\", alpha=\"0.09\", expect_size=\"5486592\"] \n  2 -> 3 [size =\"5486592\"]\n  3 [size=\"78987264\", alpha=\"0.05\", expect_size=\"39493632\"] \n  3 -> 4 [size =\"39493632\"]\n  3 -> 5 [size =\"39493632\"]\n  4 [size=\"88846336\", alpha=\"0.02\", expect_size=\"44423168\"] \n  4 -> 6 [size =\"44423168\"]\n  4 -> 7 [size =\"44423168\"]\n  5 [size=\"92549120\", alpha=\"0.09\", expect_size=\"46274560\"] \n  5 -> 7 [size =\"46274560\"]\n  6 [size=\"38805504\", alpha=\"0.13\", expect_size=\"19402752\"] \n  6 -> 8 [size =\"19402752\"]\n  7 [size=\"42207232\", alpha=\"0.04\", expect_size=\"21103616\"] \n  8 [size=\"37916672\", alpha=\"0.19\", expect_size=\"18958336\"] \n  8 -> 9 [size =\"18958336\"]\n  8 -> 10 [size =\"18958336\"]\n  9 [size=\"96210944\", alpha=\"0.06\", expect_size=\"48105472\"] \n  10 [size=\"99934208\", alpha=\"0.05\", expect_size=\"49967104\"] \n  10 -> 11 [size =\"49967104\"]\n  11 [size=\"72878080\", alpha=\"0.07\", expect_size=\"36439040\"] \n  11 -> 12 [size =\"36439040\"]\n  12 [size=\"18122752\", alpha=\"0.02\", expect_size=\"9061376\"] \n  12 -> 13 [size =\"9061376\"]\n  13 [size=\"61642752\", alpha=\"0.02\", expect_size=\"30821376\"] \n  13 -> 14 [size =\"30821376\"]\n  14 [size=\"83060736\", alpha=\"0.01\", expect_size=\"41530368\"] \n  14 -> 15 [size =\"41530368\"]\n  15 [size=\"94666752\", alpha=\"0.14\", expect_size=\"47333376\"] \n  15 -> 16 [size =\"47333376\"]\n  15 -> 17 [size =\"47333376\"]\n  16 [size=\"43608064\", alpha=\"0.12\", expect_size=\"21804032\"] \n  16 -> 18 [size =\"21804032\"]\n  17 [size=\"11417600\", alpha=\"0.10\", expect_size=\"5708800\"] \n  17 -> 18 [size =\"5708800\"]\n  17 -> 19 [size =\"5708800\"]\n  18 [size=\"31832064\", alpha=\"0.08\", expect_size=\"15916032\"] \n  18 -> 21 [size =\"15916032\"]\n  19 [size=\"27359232\", alpha=\"0.10\", expect_size=\"13679616\"] \n  19 -> 20 [size =\"13679616\"]\n  19 -> 21 [size =\"13679616\"]\n  20 [size=\"57991168\", alpha=\"0.10\", expect_size=\"28995584\"] \n  20 -> 22 [size =\"28995584\"]\n  21 [size=\"81000448\", alpha=\"0.05\", expect_size=\"40500224\"] \n  21 -> 22 [size =\"40500224\"]\n  22 [size=\"20156416\", alpha=\"0.19\", expect_size=\"10078208\"] \n  22 -> 23 [size =\"10078208\"]\n  22 -> 24 [size =\"10078208\"]\n  23 [size=\"28706816\", alpha=\"0.09\", expect_size=\"14353408\"] \n  23 -> 25 [size =\"14353408\"]\n  23 -> 26 [size =\"14353408\"]\n  24 [size=\"37638144\", alpha=\"0.14\", expect_size=\"18819072\"] \n  24 -> 26 [size =\"18819072\"]\n  25 [size=\"44396544\", alpha=\"0.18\", expect_size=\"22198272\"] \n  26 [size=\"15020032\", alpha=\"0.07\", expect_size=\"7510016\"] \n  26 -> 27 [size =\"7510016\"]\n  27 [size=\"72404992\", alpha=\"0.03\", expect_size=\"36202496\"] \n  27 -> 28 [size =\"36202496\"]\n  28 [size=\"23183360\", alpha=\"0.05\", expect_size=\"11591680\"] \n  28 -> 29 [size =\"11591680\"]\n  29 [size=\"61818880\", alpha=\"0.05\", expect_size=\"30909440\"] \n  29 -> 30 [size =\"30909440\"]\n  29 -> 31 [size =\"30909440\"]\n  30 [size=\"12277760\", alpha=\"0.03\", expect_size=\"6138880\"] \n  30 -> 32 [size =\"6138880\"]\n  30 -> 33 [size =\"6138880\"]\n  31 [size=\"59709440\", alpha=\"0.16\", expect_size=\"29854720\"] \n  31 -> 32 [size =\"29854720\"]\n  32 [size=\"81688576\", alpha=\"0.09\", expect_size=\"40844288\"] \n  33 [size=\"78700544\", alpha=\"0.14\", expect_size=\"39350272\"] \n  33 -> 34 [size =\"39350272\"]\n  33 -> 35 [size =\"39350272\"]\n  34 [size=\"24879104\", alpha=\"0.14\", expect_size=\"12439552\"] \n  35 [size=\"92956672\", alpha=\"0.12\", expect_size=\"46478336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120396800\", alpha=\"0.11\", expect_size=\"48158720\"] \n  2 [size=\"103997440\", alpha=\"0.11\", expect_size=\"41598976\"] \n  2 -> 7 [size =\"41598976\"]\n  2 -> 8 [size =\"41598976\"]\n  3 [size=\"76654080\", alpha=\"0.20\", expect_size=\"30661632\"] \n  3 -> 6 [size =\"30661632\"]\n  3 -> 8 [size =\"30661632\"]\n  4 [size=\"31664640\", alpha=\"0.07\", expect_size=\"12665856\"] \n  4 -> 6 [size =\"12665856\"]\n  4 -> 8 [size =\"12665856\"]\n  4 -> 9 [size =\"12665856\"]\n  5 [size=\"83855360\", alpha=\"0.12\", expect_size=\"33542144\"] \n  5 -> 6 [size =\"33542144\"]\n  5 -> 9 [size =\"33542144\"]\n  5 -> 9 [size =\"33542144\"]\n  6 [size=\"123640320\", alpha=\"0.07\", expect_size=\"49456128\"] \n  6 -> 10 [size =\"49456128\"]\n  6 -> 11 [size =\"49456128\"]\n  6 -> 12 [size =\"49456128\"]\n  7 [size=\"121100800\", alpha=\"0.03\", expect_size=\"48440320\"] \n  7 -> 10 [size =\"48440320\"]\n  7 -> 11 [size =\"48440320\"]\n  7 -> 13 [size =\"48440320\"]\n  8 [size=\"53552640\", alpha=\"0.02\", expect_size=\"21421056\"] \n  8 -> 10 [size =\"21421056\"]\n  8 -> 11 [size =\"21421056\"]\n  8 -> 13 [size =\"21421056\"]\n  9 [size=\"104156160\", alpha=\"0.13\", expect_size=\"41662464\"] \n  9 -> 12 [size =\"41662464\"]\n  10 [size=\"92989440\", alpha=\"0.04\", expect_size=\"37195776\"] \n  10 -> 15 [size =\"37195776\"]\n  10 -> 17 [size =\"37195776\"]\n  11 [size=\"36167680\", alpha=\"0.02\", expect_size=\"14467072\"] \n  11 -> 14 [size =\"14467072\"]\n  11 -> 15 [size =\"14467072\"]\n  11 -> 16 [size =\"14467072\"]\n  11 -> 17 [size =\"14467072\"]\n  11 -> 18 [size =\"14467072\"]\n  12 [size=\"101329920\", alpha=\"0.19\", expect_size=\"40531968\"] \n  12 -> 14 [size =\"40531968\"]\n  12 -> 15 [size =\"40531968\"]\n  12 -> 16 [size =\"40531968\"]\n  12 -> 17 [size =\"40531968\"]\n  13 [size=\"48839680\", alpha=\"0.02\", expect_size=\"19535872\"] \n  13 -> 14 [size =\"19535872\"]\n  13 -> 16 [size =\"19535872\"]\n  14 [size=\"46169600\", alpha=\"0.07\", expect_size=\"18467840\"] \n  14 -> 20 [size =\"18467840\"]\n  14 -> 23 [size =\"18467840\"]\n  15 [size=\"88512000\", alpha=\"0.17\", expect_size=\"35404800\"] \n  15 -> 20 [size =\"35404800\"]\n  15 -> 21 [size =\"35404800\"]\n  16 [size=\"42972160\", alpha=\"0.08\", expect_size=\"17188864\"] \n  16 -> 23 [size =\"17188864\"]\n  17 [size=\"86912000\", alpha=\"0.01\", expect_size=\"34764800\"] \n  17 -> 20 [size =\"34764800\"]\n  17 -> 21 [size =\"34764800\"]\n  18 [size=\"103313920\", alpha=\"0.05\", expect_size=\"41325568\"] \n  18 -> 19 [size =\"41325568\"]\n  18 -> 22 [size =\"41325568\"]\n  18 -> 23 [size =\"41325568\"]\n  19 [size=\"117468160\", alpha=\"0.11\", expect_size=\"46987264\"] \n  19 -> 26 [size =\"46987264\"]\n  20 [size=\"76684800\", alpha=\"0.19\", expect_size=\"30673920\"] \n  20 -> 25 [size =\"30673920\"]\n  20 -> 27 [size =\"30673920\"]\n  21 [size=\"101437440\", alpha=\"0.04\", expect_size=\"40574976\"] \n  22 [size=\"110412800\", alpha=\"0.06\", expect_size=\"44165120\"] \n  22 -> 26 [size =\"44165120\"]\n  22 -> 27 [size =\"44165120\"]\n  23 [size=\"102430720\", alpha=\"0.18\", expect_size=\"40972288\"] \n  23 -> 24 [size =\"40972288\"]\n  23 -> 27 [size =\"40972288\"]\n  24 [size=\"112253440\", alpha=\"0.13\", expect_size=\"44901376\"] \n  24 -> 29 [size =\"44901376\"]\n  24 -> 30 [size =\"44901376\"]\n  25 [size=\"33930240\", alpha=\"0.20\", expect_size=\"13572096\"] \n  25 -> 28 [size =\"13572096\"]\n  25 -> 29 [size =\"13572096\"]\n  25 -> 32 [size =\"13572096\"]\n  26 [size=\"17052160\", alpha=\"0.06\", expect_size=\"6820864\"] \n  26 -> 28 [size =\"6820864\"]\n  26 -> 30 [size =\"6820864\"]\n  26 -> 31 [size =\"6820864\"]\n  27 [size=\"66506240\", alpha=\"0.10\", expect_size=\"26602496\"] \n  27 -> 29 [size =\"26602496\"]\n  28 [size=\"70681600\", alpha=\"0.01\", expect_size=\"28272640\"] \n  29 [size=\"101255680\", alpha=\"0.07\", expect_size=\"40502272\"] \n  29 -> 35 [size =\"40502272\"]\n  30 [size=\"49172480\", alpha=\"0.07\", expect_size=\"19668992\"] \n  30 -> 33 [size =\"19668992\"]\n  30 -> 35 [size =\"19668992\"]\n  31 [size=\"41674240\", alpha=\"0.11\", expect_size=\"16669696\"] \n  31 -> 34 [size =\"16669696\"]\n  32 [size=\"68080640\", alpha=\"0.10\", expect_size=\"27232256\"] \n  32 -> 33 [size =\"27232256\"]\n  33 [size=\"101322240\", alpha=\"0.15\", expect_size=\"40528896\"] \n  34 [size=\"86978560\", alpha=\"0.05\", expect_size=\"34791424\"] \n  35 [size=\"43612160\", alpha=\"0.08\", expect_size=\"17444864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20865707\", alpha=\"0.08\", expect_size=\"6259712\"] \n  1 -> 2 [size =\"6259712\"]\n  2 [size=\"99536213\", alpha=\"0.14\", expect_size=\"29860864\"] \n  2 -> 3 [size =\"29860864\"]\n  3 [size=\"116459520\", alpha=\"0.01\", expect_size=\"34937856\"] \n  3 -> 4 [size =\"34937856\"]\n  4 [size=\"167277227\", alpha=\"0.11\", expect_size=\"50183168\"] \n  4 -> 5 [size =\"50183168\"]\n  5 [size=\"72301227\", alpha=\"0.05\", expect_size=\"21690368\"] \n  5 -> 6 [size =\"21690368\"]\n  6 [size=\"100734293\", alpha=\"0.06\", expect_size=\"30220288\"] \n  6 -> 7 [size =\"30220288\"]\n  7 [size=\"44574720\", alpha=\"0.01\", expect_size=\"13372416\"] \n  7 -> 8 [size =\"13372416\"]\n  8 [size=\"168297813\", alpha=\"0.03\", expect_size=\"50489344\"] \n  8 -> 9 [size =\"50489344\"]\n  9 [size=\"108916053\", alpha=\"0.20\", expect_size=\"32674816\"] \n  9 -> 10 [size =\"32674816\"]\n  10 [size=\"93037227\", alpha=\"0.09\", expect_size=\"27911168\"] \n  10 -> 11 [size =\"27911168\"]\n  11 [size=\"20425387\", alpha=\"0.11\", expect_size=\"6127616\"] \n  11 -> 12 [size =\"6127616\"]\n  12 [size=\"84043093\", alpha=\"0.12\", expect_size=\"25212928\"] \n  12 -> 13 [size =\"25212928\"]\n  13 [size=\"36980053\", alpha=\"0.05\", expect_size=\"11094016\"] \n  13 -> 14 [size =\"11094016\"]\n  14 [size=\"48271360\", alpha=\"0.08\", expect_size=\"14481408\"] \n  14 -> 15 [size =\"14481408\"]\n  15 [size=\"131781973\", alpha=\"0.12\", expect_size=\"39534592\"] \n  15 -> 16 [size =\"39534592\"]\n  16 [size=\"173052587\", alpha=\"0.04\", expect_size=\"51915776\"] \n  16 -> 17 [size =\"51915776\"]\n  17 [size=\"66085547\", alpha=\"0.13\", expect_size=\"19825664\"] \n  17 -> 18 [size =\"19825664\"]\n  18 [size=\"73840640\", alpha=\"0.02\", expect_size=\"22152192\"] \n  18 -> 19 [size =\"22152192\"]\n  19 [size=\"100000427\", alpha=\"0.19\", expect_size=\"30000128\"] \n  19 -> 20 [size =\"30000128\"]\n  20 [size=\"99778560\", alpha=\"0.06\", expect_size=\"29933568\"] \n  20 -> 21 [size =\"29933568\"]\n  21 [size=\"166727680\", alpha=\"0.13\", expect_size=\"50018304\"] \n  21 -> 22 [size =\"50018304\"]\n  22 [size=\"94781440\", alpha=\"0.10\", expect_size=\"28434432\"] \n  22 -> 23 [size =\"28434432\"]\n  23 [size=\"32669013\", alpha=\"0.20\", expect_size=\"9800704\"] \n  23 -> 24 [size =\"9800704\"]\n  24 [size=\"73246720\", alpha=\"0.08\", expect_size=\"21974016\"] \n  24 -> 25 [size =\"21974016\"]\n  25 [size=\"139304960\", alpha=\"0.04\", expect_size=\"41791488\"] \n  25 -> 26 [size =\"41791488\"]\n  26 [size=\"72516267\", alpha=\"0.11\", expect_size=\"21754880\"] \n  26 -> 27 [size =\"21754880\"]\n  27 [size=\"105530027\", alpha=\"0.01\", expect_size=\"31659008\"] \n  27 -> 28 [size =\"31659008\"]\n  28 [size=\"51698347\", alpha=\"0.10\", expect_size=\"15509504\"] \n  28 -> 29 [size =\"15509504\"]\n  29 [size=\"66549760\", alpha=\"0.10\", expect_size=\"19964928\"] \n  29 -> 30 [size =\"19964928\"]\n  30 [size=\"62143147\", alpha=\"0.01\", expect_size=\"18642944\"] \n  30 -> 31 [size =\"18642944\"]\n  31 [size=\"107721387\", alpha=\"0.11\", expect_size=\"32316416\"] \n  31 -> 32 [size =\"32316416\"]\n  32 [size=\"49390933\", alpha=\"0.10\", expect_size=\"14817280\"] \n  32 -> 33 [size =\"14817280\"]\n  33 [size=\"126494720\", alpha=\"0.12\", expect_size=\"37948416\"] \n  33 -> 34 [size =\"37948416\"]\n  34 [size=\"123453440\", alpha=\"0.17\", expect_size=\"37036032\"] \n  34 -> 35 [size =\"37036032\"]\n  35 [size=\"32774827\", alpha=\"0.17\", expect_size=\"9832448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130777600\", alpha=\"0.18\", expect_size=\"52311040\"] \n  1 -> 21 [size =\"52311040\"]\n  1 -> 22 [size =\"52311040\"]\n  1 -> 24 [size =\"52311040\"]\n  1 -> 25 [size =\"52311040\"]\n  1 -> 26 [size =\"52311040\"]\n  1 -> 35 [size =\"52311040\"]\n  1 -> 35 [size =\"52311040\"]\n  2 [size=\"112934400\", alpha=\"0.08\", expect_size=\"45173760\"] \n  2 -> 21 [size =\"45173760\"]\n  2 -> 24 [size =\"45173760\"]\n  2 -> 25 [size =\"45173760\"]\n  2 -> 29 [size =\"45173760\"]\n  2 -> 30 [size =\"45173760\"]\n  2 -> 32 [size =\"45173760\"]\n  3 [size=\"54968320\", alpha=\"0.13\", expect_size=\"21987328\"] \n  3 -> 21 [size =\"21987328\"]\n  3 -> 25 [size =\"21987328\"]\n  3 -> 29 [size =\"21987328\"]\n  3 -> 29 [size =\"21987328\"]\n  3 -> 30 [size =\"21987328\"]\n  3 -> 31 [size =\"21987328\"]\n  3 -> 32 [size =\"21987328\"]\n  3 -> 33 [size =\"21987328\"]\n  3 -> 35 [size =\"21987328\"]\n  4 [size=\"80061440\", alpha=\"0.19\", expect_size=\"32024576\"] \n  4 -> 22 [size =\"32024576\"]\n  4 -> 24 [size =\"32024576\"]\n  4 -> 28 [size =\"32024576\"]\n  4 -> 29 [size =\"32024576\"]\n  4 -> 30 [size =\"32024576\"]\n  4 -> 32 [size =\"32024576\"]\n  4 -> 32 [size =\"32024576\"]\n  4 -> 35 [size =\"32024576\"]\n  5 [size=\"69027840\", alpha=\"0.19\", expect_size=\"27611136\"] \n  5 -> 21 [size =\"27611136\"]\n  5 -> 22 [size =\"27611136\"]\n  5 -> 26 [size =\"27611136\"]\n  5 -> 27 [size =\"27611136\"]\n  5 -> 32 [size =\"27611136\"]\n  6 [size=\"104496640\", alpha=\"0.03\", expect_size=\"41798656\"] \n  6 -> 21 [size =\"41798656\"]\n  6 -> 22 [size =\"41798656\"]\n  6 -> 24 [size =\"41798656\"]\n  6 -> 26 [size =\"41798656\"]\n  6 -> 27 [size =\"41798656\"]\n  6 -> 30 [size =\"41798656\"]\n  6 -> 32 [size =\"41798656\"]\n  6 -> 35 [size =\"41798656\"]\n  7 [size=\"34670080\", alpha=\"0.15\", expect_size=\"13868032\"] \n  7 -> 21 [size =\"13868032\"]\n  7 -> 22 [size =\"13868032\"]\n  7 -> 29 [size =\"13868032\"]\n  7 -> 31 [size =\"13868032\"]\n  7 -> 32 [size =\"13868032\"]\n  7 -> 33 [size =\"13868032\"]\n  7 -> 35 [size =\"13868032\"]\n  8 [size=\"120599040\", alpha=\"0.14\", expect_size=\"48239616\"] \n  8 -> 22 [size =\"48239616\"]\n  8 -> 22 [size =\"48239616\"]\n  8 -> 24 [size =\"48239616\"]\n  8 -> 26 [size =\"48239616\"]\n  8 -> 29 [size =\"48239616\"]\n  8 -> 31 [size =\"48239616\"]\n  8 -> 32 [size =\"48239616\"]\n  9 [size=\"24921600\", alpha=\"0.18\", expect_size=\"9968640\"] \n  9 -> 21 [size =\"9968640\"]\n  9 -> 26 [size =\"9968640\"]\n  9 -> 29 [size =\"9968640\"]\n  9 -> 30 [size =\"9968640\"]\n  9 -> 32 [size =\"9968640\"]\n  10 [size=\"55774720\", alpha=\"0.05\", expect_size=\"22309888\"] \n  10 -> 21 [size =\"22309888\"]\n  10 -> 22 [size =\"22309888\"]\n  10 -> 25 [size =\"22309888\"]\n  10 -> 26 [size =\"22309888\"]\n  10 -> 27 [size =\"22309888\"]\n  10 -> 30 [size =\"22309888\"]\n  10 -> 32 [size =\"22309888\"]\n  10 -> 33 [size =\"22309888\"]\n  10 -> 35 [size =\"22309888\"]\n  11 [size=\"83540480\", alpha=\"0.17\", expect_size=\"33416192\"] \n  11 -> 22 [size =\"33416192\"]\n  11 -> 26 [size =\"33416192\"]\n  11 -> 29 [size =\"33416192\"]\n  11 -> 32 [size =\"33416192\"]\n  11 -> 33 [size =\"33416192\"]\n  12 [size=\"69352960\", alpha=\"0.06\", expect_size=\"27741184\"] \n  12 -> 23 [size =\"27741184\"]\n  12 -> 26 [size =\"27741184\"]\n  12 -> 27 [size =\"27741184\"]\n  12 -> 29 [size =\"27741184\"]\n  12 -> 30 [size =\"27741184\"]\n  12 -> 31 [size =\"27741184\"]\n  12 -> 32 [size =\"27741184\"]\n  12 -> 33 [size =\"27741184\"]\n  12 -> 35 [size =\"27741184\"]\n  13 [size=\"114301440\", alpha=\"0.16\", expect_size=\"45720576\"] \n  13 -> 23 [size =\"45720576\"]\n  13 -> 26 [size =\"45720576\"]\n  13 -> 27 [size =\"45720576\"]\n  13 -> 28 [size =\"45720576\"]\n  13 -> 29 [size =\"45720576\"]\n  13 -> 30 [size =\"45720576\"]\n  13 -> 31 [size =\"45720576\"]\n  13 -> 32 [size =\"45720576\"]\n  13 -> 34 [size =\"45720576\"]\n  14 [size=\"70786560\", alpha=\"0.08\", expect_size=\"28314624\"] \n  14 -> 21 [size =\"28314624\"]\n  14 -> 24 [size =\"28314624\"]\n  14 -> 25 [size =\"28314624\"]\n  14 -> 26 [size =\"28314624\"]\n  14 -> 29 [size =\"28314624\"]\n  14 -> 30 [size =\"28314624\"]\n  14 -> 32 [size =\"28314624\"]\n  14 -> 32 [size =\"28314624\"]\n  14 -> 35 [size =\"28314624\"]\n  15 [size=\"67571200\", alpha=\"0.04\", expect_size=\"27028480\"] \n  15 -> 21 [size =\"27028480\"]\n  15 -> 22 [size =\"27028480\"]\n  15 -> 25 [size =\"27028480\"]\n  15 -> 26 [size =\"27028480\"]\n  15 -> 27 [size =\"27028480\"]\n  15 -> 29 [size =\"27028480\"]\n  15 -> 30 [size =\"27028480\"]\n  15 -> 35 [size =\"27028480\"]\n  16 [size=\"59829760\", alpha=\"0.00\", expect_size=\"23931904\"] \n  16 -> 21 [size =\"23931904\"]\n  16 -> 22 [size =\"23931904\"]\n  16 -> 24 [size =\"23931904\"]\n  16 -> 26 [size =\"23931904\"]\n  16 -> 27 [size =\"23931904\"]\n  16 -> 29 [size =\"23931904\"]\n  16 -> 30 [size =\"23931904\"]\n  16 -> 34 [size =\"23931904\"]\n  16 -> 35 [size =\"23931904\"]\n  17 [size=\"78538240\", alpha=\"0.10\", expect_size=\"31415296\"] \n  17 -> 21 [size =\"31415296\"]\n  17 -> 22 [size =\"31415296\"]\n  17 -> 25 [size =\"31415296\"]\n  17 -> 26 [size =\"31415296\"]\n  17 -> 27 [size =\"31415296\"]\n  17 -> 28 [size =\"31415296\"]\n  17 -> 30 [size =\"31415296\"]\n  17 -> 33 [size =\"31415296\"]\n  17 -> 35 [size =\"31415296\"]\n  18 [size=\"48133120\", alpha=\"0.18\", expect_size=\"19253248\"] \n  18 -> 21 [size =\"19253248\"]\n  18 -> 24 [size =\"19253248\"]\n  18 -> 25 [size =\"19253248\"]\n  18 -> 26 [size =\"19253248\"]\n  18 -> 27 [size =\"19253248\"]\n  18 -> 29 [size =\"19253248\"]\n  18 -> 30 [size =\"19253248\"]\n  18 -> 34 [size =\"19253248\"]\n  18 -> 35 [size =\"19253248\"]\n  19 [size=\"14351360\", alpha=\"0.01\", expect_size=\"5740544\"] \n  19 -> 21 [size =\"5740544\"]\n  19 -> 23 [size =\"5740544\"]\n  19 -> 24 [size =\"5740544\"]\n  19 -> 25 [size =\"5740544\"]\n  19 -> 27 [size =\"5740544\"]\n  19 -> 33 [size =\"5740544\"]\n  19 -> 35 [size =\"5740544\"]\n  20 [size=\"118978560\", alpha=\"0.14\", expect_size=\"47591424\"] \n  20 -> 21 [size =\"47591424\"]\n  20 -> 22 [size =\"47591424\"]\n  20 -> 24 [size =\"47591424\"]\n  20 -> 25 [size =\"47591424\"]\n  20 -> 26 [size =\"47591424\"]\n  20 -> 27 [size =\"47591424\"]\n  20 -> 35 [size =\"47591424\"]\n  21 [size=\"28828160\", alpha=\"0.07\", expect_size=\"11531264\"] \n  22 [size=\"126958080\", alpha=\"0.18\", expect_size=\"50783232\"] \n  23 [size=\"41617920\", alpha=\"0.15\", expect_size=\"16647168\"] \n  24 [size=\"20538880\", alpha=\"0.03\", expect_size=\"8215552\"] \n  25 [size=\"66465280\", alpha=\"0.01\", expect_size=\"26586112\"] \n  26 [size=\"92277760\", alpha=\"0.14\", expect_size=\"36911104\"] \n  27 [size=\"94566400\", alpha=\"0.12\", expect_size=\"37826560\"] \n  28 [size=\"32844800\", alpha=\"0.07\", expect_size=\"13137920\"] \n  29 [size=\"18600960\", alpha=\"0.04\", expect_size=\"7440384\"] \n  30 [size=\"26091520\", alpha=\"0.09\", expect_size=\"10436608\"] \n  31 [size=\"111070720\", alpha=\"0.05\", expect_size=\"44428288\"] \n  32 [size=\"37314560\", alpha=\"0.11\", expect_size=\"14925824\"] \n  33 [size=\"22617600\", alpha=\"0.14\", expect_size=\"9047040\"] \n  34 [size=\"108840960\", alpha=\"0.07\", expect_size=\"43536384\"] \n  35 [size=\"127011840\", alpha=\"0.10\", expect_size=\"50804736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48945152\", alpha=\"0.15\", expect_size=\"24472576\"] \n  1 -> 14 [size =\"24472576\"]\n  1 -> 20 [size =\"24472576\"]\n  1 -> 20 [size =\"24472576\"]\n  2 [size=\"31209472\", alpha=\"0.02\", expect_size=\"15604736\"] \n  2 -> 14 [size =\"15604736\"]\n  2 -> 15 [size =\"15604736\"]\n  2 -> 17 [size =\"15604736\"]\n  2 -> 20 [size =\"15604736\"]\n  3 [size=\"19791872\", alpha=\"0.19\", expect_size=\"9895936\"] \n  3 -> 12 [size =\"9895936\"]\n  3 -> 14 [size =\"9895936\"]\n  3 -> 17 [size =\"9895936\"]\n  4 [size=\"102199296\", alpha=\"0.05\", expect_size=\"51099648\"] \n  4 -> 12 [size =\"51099648\"]\n  4 -> 14 [size =\"51099648\"]\n  4 -> 16 [size =\"51099648\"]\n  5 [size=\"103356416\", alpha=\"0.13\", expect_size=\"51678208\"] \n  5 -> 12 [size =\"51678208\"]\n  6 [size=\"28614656\", alpha=\"0.07\", expect_size=\"14307328\"] \n  6 -> 11 [size =\"14307328\"]\n  6 -> 12 [size =\"14307328\"]\n  6 -> 13 [size =\"14307328\"]\n  6 -> 21 [size =\"14307328\"]\n  7 [size=\"58023936\", alpha=\"0.08\", expect_size=\"29011968\"] \n  7 -> 12 [size =\"29011968\"]\n  7 -> 13 [size =\"29011968\"]\n  7 -> 16 [size =\"29011968\"]\n  7 -> 18 [size =\"29011968\"]\n  7 -> 19 [size =\"29011968\"]\n  7 -> 21 [size =\"29011968\"]\n  8 [size=\"23883776\", alpha=\"0.05\", expect_size=\"11941888\"] \n  8 -> 11 [size =\"11941888\"]\n  8 -> 13 [size =\"11941888\"]\n  8 -> 15 [size =\"11941888\"]\n  8 -> 16 [size =\"11941888\"]\n  8 -> 17 [size =\"11941888\"]\n  8 -> 18 [size =\"11941888\"]\n  9 [size=\"27408384\", alpha=\"0.18\", expect_size=\"13704192\"] \n  9 -> 14 [size =\"13704192\"]\n  9 -> 15 [size =\"13704192\"]\n  9 -> 15 [size =\"13704192\"]\n  9 -> 16 [size =\"13704192\"]\n  9 -> 17 [size =\"13704192\"]\n  10 [size=\"31848448\", alpha=\"0.14\", expect_size=\"15924224\"] \n  10 -> 15 [size =\"15924224\"]\n  10 -> 18 [size =\"15924224\"]\n  10 -> 20 [size =\"15924224\"]\n  11 [size=\"42803200\", alpha=\"0.06\", expect_size=\"21401600\"] \n  11 -> 22 [size =\"21401600\"]\n  11 -> 23 [size =\"21401600\"]\n  11 -> 24 [size =\"21401600\"]\n  11 -> 31 [size =\"21401600\"]\n  12 [size=\"18233344\", alpha=\"0.09\", expect_size=\"9116672\"] \n  12 -> 22 [size =\"9116672\"]\n  12 -> 33 [size =\"9116672\"]\n  13 [size=\"25694208\", alpha=\"0.00\", expect_size=\"12847104\"] \n  13 -> 26 [size =\"12847104\"]\n  13 -> 28 [size =\"12847104\"]\n  13 -> 31 [size =\"12847104\"]\n  13 -> 33 [size =\"12847104\"]\n  14 [size=\"22345728\", alpha=\"0.09\", expect_size=\"11172864\"] \n  14 -> 24 [size =\"11172864\"]\n  14 -> 27 [size =\"11172864\"]\n  14 -> 30 [size =\"11172864\"]\n  14 -> 31 [size =\"11172864\"]\n  15 [size=\"45928448\", alpha=\"0.17\", expect_size=\"22964224\"] \n  15 -> 27 [size =\"22964224\"]\n  15 -> 28 [size =\"22964224\"]\n  15 -> 29 [size =\"22964224\"]\n  15 -> 31 [size =\"22964224\"]\n  15 -> 33 [size =\"22964224\"]\n  16 [size=\"13953024\", alpha=\"0.02\", expect_size=\"6976512\"] \n  16 -> 22 [size =\"6976512\"]\n  16 -> 23 [size =\"6976512\"]\n  16 -> 26 [size =\"6976512\"]\n  16 -> 27 [size =\"6976512\"]\n  16 -> 29 [size =\"6976512\"]\n  16 -> 33 [size =\"6976512\"]\n  17 [size=\"46530560\", alpha=\"0.18\", expect_size=\"23265280\"] \n  17 -> 25 [size =\"23265280\"]\n  17 -> 27 [size =\"23265280\"]\n  17 -> 30 [size =\"23265280\"]\n  18 [size=\"83978240\", alpha=\"0.02\", expect_size=\"41989120\"] \n  18 -> 24 [size =\"41989120\"]\n  18 -> 26 [size =\"41989120\"]\n  18 -> 27 [size =\"41989120\"]\n  18 -> 29 [size =\"41989120\"]\n  18 -> 30 [size =\"41989120\"]\n  18 -> 32 [size =\"41989120\"]\n  18 -> 33 [size =\"41989120\"]\n  19 [size=\"14352384\", alpha=\"0.15\", expect_size=\"7176192\"] \n  19 -> 22 [size =\"7176192\"]\n  19 -> 24 [size =\"7176192\"]\n  19 -> 26 [size =\"7176192\"]\n  19 -> 28 [size =\"7176192\"]\n  20 [size=\"101177344\", alpha=\"0.17\", expect_size=\"50588672\"] \n  20 -> 24 [size =\"50588672\"]\n  20 -> 26 [size =\"50588672\"]\n  20 -> 31 [size =\"50588672\"]\n  21 [size=\"73746432\", alpha=\"0.06\", expect_size=\"36873216\"] \n  21 -> 29 [size =\"36873216\"]\n  21 -> 30 [size =\"36873216\"]\n  21 -> 31 [size =\"36873216\"]\n  22 [size=\"101593088\", alpha=\"0.20\", expect_size=\"50796544\"] \n  23 [size=\"47632384\", alpha=\"0.16\", expect_size=\"23816192\"] \n  23 -> 35 [size =\"23816192\"]\n  24 [size=\"49391616\", alpha=\"0.11\", expect_size=\"24695808\"] \n  25 [size=\"90552320\", alpha=\"0.06\", expect_size=\"45276160\"] \n  25 -> 34 [size =\"45276160\"]\n  26 [size=\"77864960\", alpha=\"0.05\", expect_size=\"38932480\"] \n  26 -> 34 [size =\"38932480\"]\n  27 [size=\"87287808\", alpha=\"0.13\", expect_size=\"43643904\"] \n  27 -> 35 [size =\"43643904\"]\n  28 [size=\"79378432\", alpha=\"0.05\", expect_size=\"39689216\"] \n  29 [size=\"88408064\", alpha=\"0.00\", expect_size=\"44204032\"] \n  30 [size=\"66646016\", alpha=\"0.00\", expect_size=\"33323008\"] \n  30 -> 34 [size =\"33323008\"]\n  31 [size=\"50872320\", alpha=\"0.07\", expect_size=\"25436160\"] \n  31 -> 34 [size =\"25436160\"]\n  32 [size=\"79550464\", alpha=\"0.15\", expect_size=\"39775232\"] \n  33 [size=\"79030272\", alpha=\"0.06\", expect_size=\"39515136\"] \n  33 -> 35 [size =\"39515136\"]\n  34 [size=\"58619904\", alpha=\"0.00\", expect_size=\"29309952\"] \n  35 [size=\"15659008\", alpha=\"0.02\", expect_size=\"7829504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41417387\", alpha=\"0.14\", expect_size=\"12425216\"] \n  1 -> 2 [size =\"12425216\"]\n  1 -> 3 [size =\"12425216\"]\n  2 [size=\"98993493\", alpha=\"0.12\", expect_size=\"29698048\"] \n  3 [size=\"94211413\", alpha=\"0.13\", expect_size=\"28263424\"] \n  3 -> 4 [size =\"28263424\"]\n  3 -> 5 [size =\"28263424\"]\n  4 [size=\"25248427\", alpha=\"0.18\", expect_size=\"7574528\"] \n  5 [size=\"142902613\", alpha=\"0.01\", expect_size=\"42870784\"] \n  5 -> 6 [size =\"42870784\"]\n  6 [size=\"59787947\", alpha=\"0.05\", expect_size=\"17936384\"] \n  6 -> 7 [size =\"17936384\"]\n  6 -> 8 [size =\"17936384\"]\n  7 [size=\"162164053\", alpha=\"0.13\", expect_size=\"48649216\"] \n  8 [size=\"95733760\", alpha=\"0.08\", expect_size=\"28720128\"] \n  8 -> 9 [size =\"28720128\"]\n  9 [size=\"142854827\", alpha=\"0.12\", expect_size=\"42856448\"] \n  9 -> 10 [size =\"42856448\"]\n  10 [size=\"140509867\", alpha=\"0.03\", expect_size=\"42152960\"] \n  10 -> 11 [size =\"42152960\"]\n  11 [size=\"85736107\", alpha=\"0.10\", expect_size=\"25720832\"] \n  11 -> 12 [size =\"25720832\"]\n  11 -> 13 [size =\"25720832\"]\n  12 [size=\"34990080\", alpha=\"0.12\", expect_size=\"10497024\"] \n  12 -> 14 [size =\"10497024\"]\n  13 [size=\"126006613\", alpha=\"0.10\", expect_size=\"37801984\"] \n  14 [size=\"70335147\", alpha=\"0.20\", expect_size=\"21100544\"] \n  14 -> 15 [size =\"21100544\"]\n  14 -> 16 [size =\"21100544\"]\n  15 [size=\"52148907\", alpha=\"0.16\", expect_size=\"15644672\"] \n  15 -> 17 [size =\"15644672\"]\n  16 [size=\"60576427\", alpha=\"0.11\", expect_size=\"18172928\"] \n  16 -> 18 [size =\"18172928\"]\n  17 [size=\"103113387\", alpha=\"0.04\", expect_size=\"30934016\"] \n  18 [size=\"47162027\", alpha=\"0.15\", expect_size=\"14148608\"] \n  18 -> 19 [size =\"14148608\"]\n  19 [size=\"109547520\", alpha=\"0.13\", expect_size=\"32864256\"] \n  19 -> 20 [size =\"32864256\"]\n  19 -> 21 [size =\"32864256\"]\n  20 [size=\"44707840\", alpha=\"0.08\", expect_size=\"13412352\"] \n  20 -> 22 [size =\"13412352\"]\n  20 -> 23 [size =\"13412352\"]\n  21 [size=\"69580800\", alpha=\"0.06\", expect_size=\"20874240\"] \n  22 [size=\"152111787\", alpha=\"0.14\", expect_size=\"45633536\"] \n  23 [size=\"90030080\", alpha=\"0.11\", expect_size=\"27009024\"] \n  23 -> 24 [size =\"27009024\"]\n  23 -> 25 [size =\"27009024\"]\n  24 [size=\"168639147\", alpha=\"0.10\", expect_size=\"50591744\"] \n  24 -> 26 [size =\"50591744\"]\n  25 [size=\"168188587\", alpha=\"0.05\", expect_size=\"50456576\"] \n  26 [size=\"133956267\", alpha=\"0.05\", expect_size=\"40186880\"] \n  26 -> 27 [size =\"40186880\"]\n  27 [size=\"60542293\", alpha=\"0.03\", expect_size=\"18162688\"] \n  27 -> 28 [size =\"18162688\"]\n  28 [size=\"88077653\", alpha=\"0.12\", expect_size=\"26423296\"] \n  28 -> 29 [size =\"26423296\"]\n  28 -> 30 [size =\"26423296\"]\n  29 [size=\"52466347\", alpha=\"0.16\", expect_size=\"15739904\"] \n  29 -> 31 [size =\"15739904\"]\n  29 -> 32 [size =\"15739904\"]\n  30 [size=\"158562987\", alpha=\"0.16\", expect_size=\"47568896\"] \n  31 [size=\"64505173\", alpha=\"0.04\", expect_size=\"19351552\"] \n  32 [size=\"108810240\", alpha=\"0.15\", expect_size=\"32643072\"] \n  32 -> 33 [size =\"32643072\"]\n  32 -> 34 [size =\"32643072\"]\n  33 [size=\"58426027\", alpha=\"0.00\", expect_size=\"17527808\"] \n  33 -> 35 [size =\"17527808\"]\n  34 [size=\"147374080\", alpha=\"0.11\", expect_size=\"44212224\"] \n  35 [size=\"68860587\", alpha=\"0.07\", expect_size=\"20658176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68614144\", alpha=\"0.16\", expect_size=\"34307072\"] \n  1 -> 2 [size =\"34307072\"]\n  2 [size=\"27234304\", alpha=\"0.04\", expect_size=\"13617152\"] \n  2 -> 3 [size =\"13617152\"]\n  3 [size=\"90445824\", alpha=\"0.18\", expect_size=\"45222912\"] \n  3 -> 4 [size =\"45222912\"]\n  4 [size=\"13178880\", alpha=\"0.01\", expect_size=\"6589440\"] \n  4 -> 5 [size =\"6589440\"]\n  5 [size=\"28557312\", alpha=\"0.03\", expect_size=\"14278656\"] \n  5 -> 6 [size =\"14278656\"]\n  6 [size=\"57720832\", alpha=\"0.16\", expect_size=\"28860416\"] \n  6 -> 7 [size =\"28860416\"]\n  7 [size=\"15982592\", alpha=\"0.13\", expect_size=\"7991296\"] \n  7 -> 8 [size =\"7991296\"]\n  8 [size=\"28858368\", alpha=\"0.12\", expect_size=\"14429184\"] \n  8 -> 9 [size =\"14429184\"]\n  9 [size=\"53788672\", alpha=\"0.14\", expect_size=\"26894336\"] \n  9 -> 10 [size =\"26894336\"]\n  10 [size=\"58337280\", alpha=\"0.01\", expect_size=\"29168640\"] \n  10 -> 11 [size =\"29168640\"]\n  11 [size=\"98592768\", alpha=\"0.02\", expect_size=\"49296384\"] \n  11 -> 12 [size =\"49296384\"]\n  12 [size=\"81364992\", alpha=\"0.15\", expect_size=\"40682496\"] \n  12 -> 13 [size =\"40682496\"]\n  13 [size=\"100534272\", alpha=\"0.12\", expect_size=\"50267136\"] \n  13 -> 14 [size =\"50267136\"]\n  14 [size=\"89096192\", alpha=\"0.07\", expect_size=\"44548096\"] \n  14 -> 15 [size =\"44548096\"]\n  15 [size=\"93749248\", alpha=\"0.10\", expect_size=\"46874624\"] \n  15 -> 16 [size =\"46874624\"]\n  16 [size=\"11214848\", alpha=\"0.01\", expect_size=\"5607424\"] \n  16 -> 17 [size =\"5607424\"]\n  17 [size=\"86941696\", alpha=\"0.11\", expect_size=\"43470848\"] \n  17 -> 18 [size =\"43470848\"]\n  18 [size=\"51628032\", alpha=\"0.19\", expect_size=\"25814016\"] \n  18 -> 19 [size =\"25814016\"]\n  19 [size=\"13336576\", alpha=\"0.19\", expect_size=\"6668288\"] \n  19 -> 20 [size =\"6668288\"]\n  20 [size=\"80975872\", alpha=\"0.20\", expect_size=\"40487936\"] \n  20 -> 21 [size =\"40487936\"]\n  21 [size=\"85348352\", alpha=\"0.12\", expect_size=\"42674176\"] \n  21 -> 22 [size =\"42674176\"]\n  22 [size=\"95172608\", alpha=\"0.09\", expect_size=\"47586304\"] \n  22 -> 23 [size =\"47586304\"]\n  23 [size=\"70350848\", alpha=\"0.02\", expect_size=\"35175424\"] \n  23 -> 24 [size =\"35175424\"]\n  24 [size=\"30988288\", alpha=\"0.16\", expect_size=\"15494144\"] \n  24 -> 25 [size =\"15494144\"]\n  25 [size=\"65599488\", alpha=\"0.13\", expect_size=\"32799744\"] \n  25 -> 26 [size =\"32799744\"]\n  26 [size=\"16470016\", alpha=\"0.01\", expect_size=\"8235008\"] \n  26 -> 27 [size =\"8235008\"]\n  27 [size=\"22214656\", alpha=\"0.10\", expect_size=\"11107328\"] \n  27 -> 28 [size =\"11107328\"]\n  28 [size=\"72624128\", alpha=\"0.03\", expect_size=\"36312064\"] \n  28 -> 29 [size =\"36312064\"]\n  29 [size=\"67190784\", alpha=\"0.04\", expect_size=\"33595392\"] \n  29 -> 30 [size =\"33595392\"]\n  30 [size=\"63715328\", alpha=\"0.16\", expect_size=\"31857664\"] \n  30 -> 31 [size =\"31857664\"]\n  31 [size=\"62201856\", alpha=\"0.07\", expect_size=\"31100928\"] \n  31 -> 32 [size =\"31100928\"]\n  32 [size=\"26408960\", alpha=\"0.13\", expect_size=\"13204480\"] \n  32 -> 33 [size =\"13204480\"]\n  33 [size=\"67454976\", alpha=\"0.18\", expect_size=\"33727488\"] \n  33 -> 34 [size =\"33727488\"]\n  34 [size=\"76562432\", alpha=\"0.19\", expect_size=\"38281216\"] \n  34 -> 35 [size =\"38281216\"]\n  35 [size=\"56420352\", alpha=\"0.18\", expect_size=\"28210176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94754133\", alpha=\"0.02\", expect_size=\"28426240\"] \n  1 -> 11 [size =\"28426240\"]\n  1 -> 15 [size =\"28426240\"]\n  1 -> 17 [size =\"28426240\"]\n  1 -> 19 [size =\"28426240\"]\n  2 [size=\"42629120\", alpha=\"0.01\", expect_size=\"12788736\"] \n  2 -> 12 [size =\"12788736\"]\n  2 -> 13 [size =\"12788736\"]\n  2 -> 14 [size =\"12788736\"]\n  2 -> 15 [size =\"12788736\"]\n  2 -> 16 [size =\"12788736\"]\n  2 -> 17 [size =\"12788736\"]\n  2 -> 18 [size =\"12788736\"]\n  2 -> 19 [size =\"12788736\"]\n  2 -> 21 [size =\"12788736\"]\n  3 [size=\"48660480\", alpha=\"0.20\", expect_size=\"14598144\"] \n  3 -> 14 [size =\"14598144\"]\n  4 [size=\"63982933\", alpha=\"0.12\", expect_size=\"19194880\"] \n  4 -> 12 [size =\"19194880\"]\n  4 -> 14 [size =\"19194880\"]\n  4 -> 18 [size =\"19194880\"]\n  4 -> 19 [size =\"19194880\"]\n  4 -> 20 [size =\"19194880\"]\n  5 [size=\"102208853\", alpha=\"0.20\", expect_size=\"30662656\"] \n  5 -> 14 [size =\"30662656\"]\n  5 -> 14 [size =\"30662656\"]\n  5 -> 17 [size =\"30662656\"]\n  5 -> 18 [size =\"30662656\"]\n  5 -> 21 [size =\"30662656\"]\n  6 [size=\"40632320\", alpha=\"0.16\", expect_size=\"12189696\"] \n  6 -> 21 [size =\"12189696\"]\n  7 [size=\"171663360\", alpha=\"0.06\", expect_size=\"51499008\"] \n  7 -> 11 [size =\"51499008\"]\n  7 -> 13 [size =\"51499008\"]\n  7 -> 14 [size =\"51499008\"]\n  7 -> 19 [size =\"51499008\"]\n  7 -> 21 [size =\"51499008\"]\n  7 -> 22 [size =\"51499008\"]\n  8 [size=\"114189653\", alpha=\"0.18\", expect_size=\"34256896\"] \n  8 -> 11 [size =\"34256896\"]\n  8 -> 19 [size =\"34256896\"]\n  8 -> 21 [size =\"34256896\"]\n  9 [size=\"91822080\", alpha=\"0.08\", expect_size=\"27546624\"] \n  9 -> 15 [size =\"27546624\"]\n  9 -> 18 [size =\"27546624\"]\n  10 [size=\"92637867\", alpha=\"0.14\", expect_size=\"27791360\"] \n  10 -> 11 [size =\"27791360\"]\n  10 -> 12 [size =\"27791360\"]\n  10 -> 13 [size =\"27791360\"]\n  10 -> 15 [size =\"27791360\"]\n  10 -> 17 [size =\"27791360\"]\n  10 -> 18 [size =\"27791360\"]\n  11 [size=\"17780053\", alpha=\"0.08\", expect_size=\"5334016\"] \n  11 -> 24 [size =\"5334016\"]\n  11 -> 28 [size =\"5334016\"]\n  11 -> 29 [size =\"5334016\"]\n  11 -> 33 [size =\"5334016\"]\n  12 [size=\"36628480\", alpha=\"0.12\", expect_size=\"10988544\"] \n  12 -> 24 [size =\"10988544\"]\n  12 -> 26 [size =\"10988544\"]\n  12 -> 28 [size =\"10988544\"]\n  12 -> 33 [size =\"10988544\"]\n  13 [size=\"46639787\", alpha=\"0.13\", expect_size=\"13991936\"] \n  13 -> 24 [size =\"13991936\"]\n  13 -> 25 [size =\"13991936\"]\n  13 -> 28 [size =\"13991936\"]\n  13 -> 29 [size =\"13991936\"]\n  13 -> 31 [size =\"13991936\"]\n  14 [size=\"44936533\", alpha=\"0.12\", expect_size=\"13480960\"] \n  14 -> 23 [size =\"13480960\"]\n  14 -> 24 [size =\"13480960\"]\n  14 -> 25 [size =\"13480960\"]\n  14 -> 28 [size =\"13480960\"]\n  14 -> 29 [size =\"13480960\"]\n  14 -> 32 [size =\"13480960\"]\n  14 -> 33 [size =\"13480960\"]\n  15 [size=\"139847680\", alpha=\"0.09\", expect_size=\"41954304\"] \n  15 -> 23 [size =\"41954304\"]\n  15 -> 24 [size =\"41954304\"]\n  15 -> 31 [size =\"41954304\"]\n  15 -> 33 [size =\"41954304\"]\n  16 [size=\"136656213\", alpha=\"0.02\", expect_size=\"40996864\"] \n  16 -> 26 [size =\"40996864\"]\n  16 -> 30 [size =\"40996864\"]\n  17 [size=\"106287787\", alpha=\"0.15\", expect_size=\"31886336\"] \n  17 -> 26 [size =\"31886336\"]\n  17 -> 29 [size =\"31886336\"]\n  18 [size=\"154934613\", alpha=\"0.13\", expect_size=\"46480384\"] \n  18 -> 23 [size =\"46480384\"]\n  18 -> 24 [size =\"46480384\"]\n  18 -> 25 [size =\"46480384\"]\n  18 -> 27 [size =\"46480384\"]\n  18 -> 29 [size =\"46480384\"]\n  18 -> 30 [size =\"46480384\"]\n  18 -> 31 [size =\"46480384\"]\n  19 [size=\"138038613\", alpha=\"0.09\", expect_size=\"41411584\"] \n  19 -> 25 [size =\"41411584\"]\n  19 -> 28 [size =\"41411584\"]\n  19 -> 30 [size =\"41411584\"]\n  19 -> 31 [size =\"41411584\"]\n  20 [size=\"42949973\", alpha=\"0.19\", expect_size=\"12884992\"] \n  20 -> 28 [size =\"12884992\"]\n  20 -> 30 [size =\"12884992\"]\n  20 -> 31 [size =\"12884992\"]\n  20 -> 33 [size =\"12884992\"]\n  21 [size=\"155733333\", alpha=\"0.19\", expect_size=\"46720000\"] \n  21 -> 23 [size =\"46720000\"]\n  21 -> 25 [size =\"46720000\"]\n  21 -> 31 [size =\"46720000\"]\n  21 -> 32 [size =\"46720000\"]\n  21 -> 33 [size =\"46720000\"]\n  22 [size=\"61057707\", alpha=\"0.02\", expect_size=\"18317312\"] \n  22 -> 25 [size =\"18317312\"]\n  22 -> 26 [size =\"18317312\"]\n  22 -> 27 [size =\"18317312\"]\n  22 -> 33 [size =\"18317312\"]\n  23 [size=\"155030187\", alpha=\"0.09\", expect_size=\"46509056\"] \n  23 -> 34 [size =\"46509056\"]\n  24 [size=\"100003840\", alpha=\"0.02\", expect_size=\"30001152\"] \n  24 -> 34 [size =\"30001152\"]\n  25 [size=\"35525973\", alpha=\"0.05\", expect_size=\"10657792\"] \n  25 -> 34 [size =\"10657792\"]\n  26 [size=\"109380267\", alpha=\"0.12\", expect_size=\"32814080\"] \n  26 -> 34 [size =\"32814080\"]\n  27 [size=\"126528853\", alpha=\"0.18\", expect_size=\"37958656\"] \n  27 -> 34 [size =\"37958656\"]\n  28 [size=\"90900480\", alpha=\"0.17\", expect_size=\"27270144\"] \n  28 -> 35 [size =\"27270144\"]\n  29 [size=\"37949440\", alpha=\"0.05\", expect_size=\"11384832\"] \n  29 -> 34 [size =\"11384832\"]\n  30 [size=\"107878400\", alpha=\"0.03\", expect_size=\"32363520\"] \n  31 [size=\"99379200\", alpha=\"0.00\", expect_size=\"29813760\"] \n  32 [size=\"89729707\", alpha=\"0.00\", expect_size=\"26918912\"] \n  33 [size=\"104093013\", alpha=\"0.04\", expect_size=\"31227904\"] \n  33 -> 34 [size =\"31227904\"]\n  34 [size=\"173646507\", alpha=\"0.11\", expect_size=\"52093952\"] \n  35 [size=\"30327467\", alpha=\"0.14\", expect_size=\"9098240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46799360\", alpha=\"0.03\", expect_size=\"18719744\"] \n  1 -> 3 [size =\"18719744\"]\n  2 [size=\"117017600\", alpha=\"0.17\", expect_size=\"46807040\"] \n  2 -> 3 [size =\"46807040\"]\n  3 [size=\"121891840\", alpha=\"0.10\", expect_size=\"48756736\"] \n  3 -> 4 [size =\"48756736\"]\n  4 [size=\"104629760\", alpha=\"0.17\", expect_size=\"41851904\"] \n  4 -> 5 [size =\"41851904\"]\n  4 -> 6 [size =\"41851904\"]\n  5 [size=\"15372800\", alpha=\"0.02\", expect_size=\"6149120\"] \n  5 -> 7 [size =\"6149120\"]\n  5 -> 8 [size =\"6149120\"]\n  6 [size=\"99077120\", alpha=\"0.07\", expect_size=\"39630848\"] \n  6 -> 7 [size =\"39630848\"]\n  6 -> 8 [size =\"39630848\"]\n  7 [size=\"86151680\", alpha=\"0.08\", expect_size=\"34460672\"] \n  7 -> 9 [size =\"34460672\"]\n  8 [size=\"73387520\", alpha=\"0.15\", expect_size=\"29355008\"] \n  9 [size=\"127557120\", alpha=\"0.13\", expect_size=\"51022848\"] \n  9 -> 10 [size =\"51022848\"]\n  10 [size=\"53516800\", alpha=\"0.18\", expect_size=\"21406720\"] \n  10 -> 11 [size =\"21406720\"]\n  11 [size=\"119311360\", alpha=\"0.13\", expect_size=\"47724544\"] \n  11 -> 12 [size =\"47724544\"]\n  11 -> 13 [size =\"47724544\"]\n  12 [size=\"17781760\", alpha=\"0.05\", expect_size=\"7112704\"] \n  12 -> 14 [size =\"7112704\"]\n  13 [size=\"119001600\", alpha=\"0.06\", expect_size=\"47600640\"] \n  14 [size=\"62192640\", alpha=\"0.08\", expect_size=\"24877056\"] \n  14 -> 15 [size =\"24877056\"]\n  14 -> 16 [size =\"24877056\"]\n  15 [size=\"45150720\", alpha=\"0.07\", expect_size=\"18060288\"] \n  15 -> 17 [size =\"18060288\"]\n  16 [size=\"54909440\", alpha=\"0.13\", expect_size=\"21963776\"] \n  16 -> 17 [size =\"21963776\"]\n  17 [size=\"98247680\", alpha=\"0.18\", expect_size=\"39299072\"] \n  17 -> 18 [size =\"39299072\"]\n  18 [size=\"25267200\", alpha=\"0.10\", expect_size=\"10106880\"] \n  18 -> 19 [size =\"10106880\"]\n  18 -> 20 [size =\"10106880\"]\n  19 [size=\"112189440\", alpha=\"0.08\", expect_size=\"44875776\"] \n  19 -> 21 [size =\"44875776\"]\n  19 -> 22 [size =\"44875776\"]\n  20 [size=\"69621760\", alpha=\"0.13\", expect_size=\"27848704\"] \n  20 -> 21 [size =\"27848704\"]\n  20 -> 22 [size =\"27848704\"]\n  21 [size=\"56829440\", alpha=\"0.04\", expect_size=\"22731776\"] \n  22 [size=\"16176640\", alpha=\"0.13\", expect_size=\"6470656\"] \n  22 -> 23 [size =\"6470656\"]\n  23 [size=\"46673920\", alpha=\"0.00\", expect_size=\"18669568\"] \n  23 -> 24 [size =\"18669568\"]\n  23 -> 25 [size =\"18669568\"]\n  24 [size=\"80051200\", alpha=\"0.03\", expect_size=\"32020480\"] \n  25 [size=\"129968640\", alpha=\"0.06\", expect_size=\"51987456\"] \n  25 -> 26 [size =\"51987456\"]\n  26 [size=\"55124480\", alpha=\"0.03\", expect_size=\"22049792\"] \n  26 -> 27 [size =\"22049792\"]\n  27 [size=\"16716800\", alpha=\"0.13\", expect_size=\"6686720\"] \n  27 -> 28 [size =\"6686720\"]\n  28 [size=\"122242560\", alpha=\"0.14\", expect_size=\"48897024\"] \n  28 -> 29 [size =\"48897024\"]\n  29 [size=\"64256000\", alpha=\"0.13\", expect_size=\"25702400\"] \n  29 -> 30 [size =\"25702400\"]\n  29 -> 31 [size =\"25702400\"]\n  30 [size=\"110215680\", alpha=\"0.20\", expect_size=\"44086272\"] \n  30 -> 32 [size =\"44086272\"]\n  31 [size=\"69800960\", alpha=\"0.04\", expect_size=\"27920384\"] \n  31 -> 32 [size =\"27920384\"]\n  32 [size=\"94666240\", alpha=\"0.09\", expect_size=\"37866496\"] \n  32 -> 33 [size =\"37866496\"]\n  33 [size=\"52794880\", alpha=\"0.13\", expect_size=\"21117952\"] \n  33 -> 34 [size =\"21117952\"]\n  34 [size=\"52971520\", alpha=\"0.04\", expect_size=\"21188608\"] \n  34 -> 35 [size =\"21188608\"]\n  35 [size=\"68759040\", alpha=\"0.01\", expect_size=\"27503616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21357227\", alpha=\"0.04\", expect_size=\"6407168\"] \n  1 -> 23 [size =\"6407168\"]\n  1 -> 24 [size =\"6407168\"]\n  1 -> 26 [size =\"6407168\"]\n  1 -> 29 [size =\"6407168\"]\n  1 -> 30 [size =\"6407168\"]\n  1 -> 35 [size =\"6407168\"]\n  2 [size=\"104830293\", alpha=\"0.07\", expect_size=\"31449088\"] \n  2 -> 24 [size =\"31449088\"]\n  2 -> 25 [size =\"31449088\"]\n  2 -> 26 [size =\"31449088\"]\n  2 -> 27 [size =\"31449088\"]\n  2 -> 29 [size =\"31449088\"]\n  2 -> 31 [size =\"31449088\"]\n  3 [size=\"160750933\", alpha=\"0.05\", expect_size=\"48225280\"] \n  3 -> 24 [size =\"48225280\"]\n  3 -> 25 [size =\"48225280\"]\n  3 -> 26 [size =\"48225280\"]\n  3 -> 29 [size =\"48225280\"]\n  3 -> 29 [size =\"48225280\"]\n  3 -> 30 [size =\"48225280\"]\n  3 -> 31 [size =\"48225280\"]\n  3 -> 32 [size =\"48225280\"]\n  3 -> 35 [size =\"48225280\"]\n  4 [size=\"47049387\", alpha=\"0.20\", expect_size=\"14114816\"] \n  4 -> 24 [size =\"14114816\"]\n  4 -> 25 [size =\"14114816\"]\n  4 -> 26 [size =\"14114816\"]\n  4 -> 30 [size =\"14114816\"]\n  4 -> 31 [size =\"14114816\"]\n  4 -> 32 [size =\"14114816\"]\n  4 -> 34 [size =\"14114816\"]\n  4 -> 35 [size =\"14114816\"]\n  5 [size=\"79127893\", alpha=\"0.05\", expect_size=\"23738368\"] \n  5 -> 24 [size =\"23738368\"]\n  5 -> 25 [size =\"23738368\"]\n  5 -> 26 [size =\"23738368\"]\n  5 -> 27 [size =\"23738368\"]\n  5 -> 30 [size =\"23738368\"]\n  5 -> 31 [size =\"23738368\"]\n  5 -> 32 [size =\"23738368\"]\n  6 [size=\"162133333\", alpha=\"0.16\", expect_size=\"48640000\"] \n  6 -> 23 [size =\"48640000\"]\n  6 -> 24 [size =\"48640000\"]\n  6 -> 25 [size =\"48640000\"]\n  6 -> 26 [size =\"48640000\"]\n  6 -> 31 [size =\"48640000\"]\n  6 -> 34 [size =\"48640000\"]\n  6 -> 35 [size =\"48640000\"]\n  7 [size=\"160488107\", alpha=\"0.15\", expect_size=\"48146432\"] \n  7 -> 26 [size =\"48146432\"]\n  7 -> 27 [size =\"48146432\"]\n  7 -> 31 [size =\"48146432\"]\n  7 -> 32 [size =\"48146432\"]\n  7 -> 34 [size =\"48146432\"]\n  8 [size=\"37266773\", alpha=\"0.10\", expect_size=\"11180032\"] \n  8 -> 25 [size =\"11180032\"]\n  8 -> 27 [size =\"11180032\"]\n  8 -> 32 [size =\"11180032\"]\n  8 -> 33 [size =\"11180032\"]\n  9 [size=\"49220267\", alpha=\"0.16\", expect_size=\"14766080\"] \n  9 -> 23 [size =\"14766080\"]\n  9 -> 24 [size =\"14766080\"]\n  9 -> 25 [size =\"14766080\"]\n  9 -> 27 [size =\"14766080\"]\n  9 -> 30 [size =\"14766080\"]\n  9 -> 32 [size =\"14766080\"]\n  9 -> 35 [size =\"14766080\"]\n  10 [size=\"18223787\", alpha=\"0.05\", expect_size=\"5467136\"] \n  10 -> 23 [size =\"5467136\"]\n  10 -> 24 [size =\"5467136\"]\n  10 -> 25 [size =\"5467136\"]\n  10 -> 26 [size =\"5467136\"]\n  10 -> 27 [size =\"5467136\"]\n  10 -> 32 [size =\"5467136\"]\n  10 -> 35 [size =\"5467136\"]\n  11 [size=\"75915947\", alpha=\"0.11\", expect_size=\"22774784\"] \n  11 -> 23 [size =\"22774784\"]\n  11 -> 24 [size =\"22774784\"]\n  11 -> 25 [size =\"22774784\"]\n  11 -> 27 [size =\"22774784\"]\n  11 -> 29 [size =\"22774784\"]\n  11 -> 30 [size =\"22774784\"]\n  11 -> 32 [size =\"22774784\"]\n  11 -> 35 [size =\"22774784\"]\n  12 [size=\"110643200\", alpha=\"0.02\", expect_size=\"33192960\"] \n  12 -> 24 [size =\"33192960\"]\n  12 -> 25 [size =\"33192960\"]\n  12 -> 26 [size =\"33192960\"]\n  12 -> 29 [size =\"33192960\"]\n  12 -> 29 [size =\"33192960\"]\n  12 -> 30 [size =\"33192960\"]\n  12 -> 31 [size =\"33192960\"]\n  12 -> 32 [size =\"33192960\"]\n  12 -> 35 [size =\"33192960\"]\n  13 [size=\"162874027\", alpha=\"0.20\", expect_size=\"48862208\"] \n  13 -> 24 [size =\"48862208\"]\n  13 -> 26 [size =\"48862208\"]\n  13 -> 26 [size =\"48862208\"]\n  13 -> 29 [size =\"48862208\"]\n  13 -> 30 [size =\"48862208\"]\n  13 -> 31 [size =\"48862208\"]\n  13 -> 32 [size =\"48862208\"]\n  13 -> 35 [size =\"48862208\"]\n  14 [size=\"41236480\", alpha=\"0.11\", expect_size=\"12370944\"] \n  14 -> 26 [size =\"12370944\"]\n  14 -> 27 [size =\"12370944\"]\n  14 -> 29 [size =\"12370944\"]\n  14 -> 32 [size =\"12370944\"]\n  14 -> 34 [size =\"12370944\"]\n  15 [size=\"39891627\", alpha=\"0.10\", expect_size=\"11967488\"] \n  15 -> 24 [size =\"11967488\"]\n  15 -> 27 [size =\"11967488\"]\n  15 -> 28 [size =\"11967488\"]\n  15 -> 31 [size =\"11967488\"]\n  15 -> 34 [size =\"11967488\"]\n  16 [size=\"79465813\", alpha=\"0.15\", expect_size=\"23839744\"] \n  16 -> 25 [size =\"23839744\"]\n  16 -> 26 [size =\"23839744\"]\n  16 -> 34 [size =\"23839744\"]\n  17 [size=\"44602027\", alpha=\"0.15\", expect_size=\"13380608\"] \n  17 -> 25 [size =\"13380608\"]\n  17 -> 26 [size =\"13380608\"]\n  17 -> 30 [size =\"13380608\"]\n  17 -> 31 [size =\"13380608\"]\n  18 [size=\"166031360\", alpha=\"0.19\", expect_size=\"49809408\"] \n  18 -> 25 [size =\"49809408\"]\n  18 -> 26 [size =\"49809408\"]\n  18 -> 27 [size =\"49809408\"]\n  18 -> 31 [size =\"49809408\"]\n  18 -> 32 [size =\"49809408\"]\n  19 [size=\"88739840\", alpha=\"0.02\", expect_size=\"26621952\"] \n  19 -> 26 [size =\"26621952\"]\n  19 -> 26 [size =\"26621952\"]\n  19 -> 34 [size =\"26621952\"]\n  19 -> 35 [size =\"26621952\"]\n  20 [size=\"59545600\", alpha=\"0.18\", expect_size=\"17863680\"] \n  20 -> 24 [size =\"17863680\"]\n  20 -> 26 [size =\"17863680\"]\n  20 -> 29 [size =\"17863680\"]\n  20 -> 30 [size =\"17863680\"]\n  20 -> 31 [size =\"17863680\"]\n  20 -> 32 [size =\"17863680\"]\n  20 -> 35 [size =\"17863680\"]\n  21 [size=\"98396160\", alpha=\"0.15\", expect_size=\"29518848\"] \n  21 -> 23 [size =\"29518848\"]\n  21 -> 29 [size =\"29518848\"]\n  21 -> 29 [size =\"29518848\"]\n  21 -> 30 [size =\"29518848\"]\n  21 -> 31 [size =\"29518848\"]\n  21 -> 32 [size =\"29518848\"]\n  21 -> 33 [size =\"29518848\"]\n  21 -> 34 [size =\"29518848\"]\n  21 -> 35 [size =\"29518848\"]\n  22 [size=\"26692267\", alpha=\"0.03\", expect_size=\"8007680\"] \n  22 -> 25 [size =\"8007680\"]\n  22 -> 26 [size =\"8007680\"]\n  22 -> 29 [size =\"8007680\"]\n  22 -> 30 [size =\"8007680\"]\n  22 -> 31 [size =\"8007680\"]\n  22 -> 32 [size =\"8007680\"]\n  22 -> 35 [size =\"8007680\"]\n  23 [size=\"42274133\", alpha=\"0.09\", expect_size=\"12682240\"] \n  24 [size=\"40792747\", alpha=\"0.19\", expect_size=\"12237824\"] \n  25 [size=\"130744320\", alpha=\"0.17\", expect_size=\"39223296\"] \n  26 [size=\"51800747\", alpha=\"0.13\", expect_size=\"15540224\"] \n  27 [size=\"166915413\", alpha=\"0.08\", expect_size=\"50074624\"] \n  28 [size=\"124958720\", alpha=\"0.05\", expect_size=\"37487616\"] \n  29 [size=\"114589013\", alpha=\"0.06\", expect_size=\"34376704\"] \n  30 [size=\"126621013\", alpha=\"0.07\", expect_size=\"37986304\"] \n  31 [size=\"110513493\", alpha=\"0.15\", expect_size=\"33154048\"] \n  32 [size=\"70147413\", alpha=\"0.15\", expect_size=\"21044224\"] \n  33 [size=\"92873387\", alpha=\"0.14\", expect_size=\"27862016\"] \n  34 [size=\"164686507\", alpha=\"0.16\", expect_size=\"49405952\"] \n  35 [size=\"157873493\", alpha=\"0.01\", expect_size=\"47362048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33192960\", alpha=\"0.13\", expect_size=\"13277184\"] \n  1 -> 3 [size =\"13277184\"]\n  2 [size=\"126261760\", alpha=\"0.11\", expect_size=\"50504704\"] \n  2 -> 4 [size =\"50504704\"]\n  3 [size=\"130001920\", alpha=\"0.11\", expect_size=\"52000768\"] \n  3 -> 5 [size =\"52000768\"]\n  4 [size=\"88586240\", alpha=\"0.04\", expect_size=\"35434496\"] \n  4 -> 5 [size =\"35434496\"]\n  4 -> 6 [size =\"35434496\"]\n  5 [size=\"22169600\", alpha=\"0.04\", expect_size=\"8867840\"] \n  5 -> 7 [size =\"8867840\"]\n  6 [size=\"54822400\", alpha=\"0.14\", expect_size=\"21928960\"] \n  6 -> 7 [size =\"21928960\"]\n  7 [size=\"120983040\", alpha=\"0.14\", expect_size=\"48393216\"] \n  7 -> 8 [size =\"48393216\"]\n  7 -> 9 [size =\"48393216\"]\n  8 [size=\"107317760\", alpha=\"0.02\", expect_size=\"42927104\"] \n  9 [size=\"30161920\", alpha=\"0.11\", expect_size=\"12064768\"] \n  9 -> 10 [size =\"12064768\"]\n  9 -> 11 [size =\"12064768\"]\n  10 [size=\"44439040\", alpha=\"0.02\", expect_size=\"17775616\"] \n  10 -> 12 [size =\"17775616\"]\n  11 [size=\"116508160\", alpha=\"0.19\", expect_size=\"46603264\"] \n  11 -> 12 [size =\"46603264\"]\n  12 [size=\"76559360\", alpha=\"0.11\", expect_size=\"30623744\"] \n  12 -> 13 [size =\"30623744\"]\n  12 -> 14 [size =\"30623744\"]\n  13 [size=\"21693440\", alpha=\"0.03\", expect_size=\"8677376\"] \n  14 [size=\"87104000\", alpha=\"0.10\", expect_size=\"34841600\"] \n  14 -> 15 [size =\"34841600\"]\n  14 -> 16 [size =\"34841600\"]\n  15 [size=\"108817920\", alpha=\"0.08\", expect_size=\"43527168\"] \n  15 -> 18 [size =\"43527168\"]\n  16 [size=\"130088960\", alpha=\"0.04\", expect_size=\"52035584\"] \n  16 -> 17 [size =\"52035584\"]\n  17 [size=\"94814720\", alpha=\"0.15\", expect_size=\"37925888\"] \n  17 -> 19 [size =\"37925888\"]\n  17 -> 20 [size =\"37925888\"]\n  18 [size=\"60707840\", alpha=\"0.08\", expect_size=\"24283136\"] \n  18 -> 19 [size =\"24283136\"]\n  19 [size=\"70530560\", alpha=\"0.03\", expect_size=\"28212224\"] \n  20 [size=\"14804480\", alpha=\"0.10\", expect_size=\"5921792\"] \n  20 -> 21 [size =\"5921792\"]\n  21 [size=\"23805440\", alpha=\"0.00\", expect_size=\"9522176\"] \n  21 -> 22 [size =\"9522176\"]\n  21 -> 23 [size =\"9522176\"]\n  22 [size=\"16414720\", alpha=\"0.10\", expect_size=\"6565888\"] \n  22 -> 24 [size =\"6565888\"]\n  23 [size=\"81246720\", alpha=\"0.19\", expect_size=\"32498688\"] \n  24 [size=\"101340160\", alpha=\"0.01\", expect_size=\"40536064\"] \n  24 -> 25 [size =\"40536064\"]\n  25 [size=\"40115200\", alpha=\"0.05\", expect_size=\"16046080\"] \n  25 -> 26 [size =\"16046080\"]\n  26 [size=\"84574720\", alpha=\"0.16\", expect_size=\"33829888\"] \n  26 -> 27 [size =\"33829888\"]\n  27 [size=\"107074560\", alpha=\"0.05\", expect_size=\"42829824\"] \n  27 -> 28 [size =\"42829824\"]\n  28 [size=\"77038080\", alpha=\"0.10\", expect_size=\"30815232\"] \n  28 -> 29 [size =\"30815232\"]\n  29 [size=\"122992640\", alpha=\"0.18\", expect_size=\"49197056\"] \n  29 -> 30 [size =\"49197056\"]\n  29 -> 31 [size =\"49197056\"]\n  30 [size=\"21831680\", alpha=\"0.11\", expect_size=\"8732672\"] \n  30 -> 32 [size =\"8732672\"]\n  30 -> 33 [size =\"8732672\"]\n  31 [size=\"79705600\", alpha=\"0.02\", expect_size=\"31882240\"] \n  31 -> 33 [size =\"31882240\"]\n  32 [size=\"80773120\", alpha=\"0.03\", expect_size=\"32309248\"] \n  32 -> 34 [size =\"32309248\"]\n  33 [size=\"20226560\", alpha=\"0.06\", expect_size=\"8090624\"] \n  33 -> 34 [size =\"8090624\"]\n  33 -> 35 [size =\"8090624\"]\n  34 [size=\"14963200\", alpha=\"0.02\", expect_size=\"5985280\"] \n  35 [size=\"22497280\", alpha=\"0.14\", expect_size=\"8998912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98746880\", alpha=\"0.12\", expect_size=\"39498752\"] \n  1 -> 2 [size =\"39498752\"]\n  2 [size=\"40893440\", alpha=\"0.17\", expect_size=\"16357376\"] \n  2 -> 3 [size =\"16357376\"]\n  3 [size=\"130700800\", alpha=\"0.00\", expect_size=\"52280320\"] \n  3 -> 4 [size =\"52280320\"]\n  4 [size=\"94676480\", alpha=\"0.16\", expect_size=\"37870592\"] \n  4 -> 5 [size =\"37870592\"]\n  5 [size=\"32537600\", alpha=\"0.16\", expect_size=\"13015040\"] \n  5 -> 6 [size =\"13015040\"]\n  6 [size=\"82083840\", alpha=\"0.20\", expect_size=\"32833536\"] \n  6 -> 7 [size =\"32833536\"]\n  7 [size=\"91100160\", alpha=\"0.02\", expect_size=\"36440064\"] \n  7 -> 8 [size =\"36440064\"]\n  8 [size=\"22400000\", alpha=\"0.01\", expect_size=\"8960000\"] \n  8 -> 9 [size =\"8960000\"]\n  9 [size=\"43008000\", alpha=\"0.16\", expect_size=\"17203200\"] \n  9 -> 10 [size =\"17203200\"]\n  10 [size=\"47595520\", alpha=\"0.06\", expect_size=\"19038208\"] \n  10 -> 11 [size =\"19038208\"]\n  11 [size=\"120046080\", alpha=\"0.05\", expect_size=\"48018432\"] \n  11 -> 12 [size =\"48018432\"]\n  12 [size=\"74109440\", alpha=\"0.07\", expect_size=\"29643776\"] \n  12 -> 13 [size =\"29643776\"]\n  13 [size=\"54976000\", alpha=\"0.05\", expect_size=\"21990400\"] \n  13 -> 14 [size =\"21990400\"]\n  14 [size=\"57454080\", alpha=\"0.01\", expect_size=\"22981632\"] \n  14 -> 15 [size =\"22981632\"]\n  15 [size=\"31728640\", alpha=\"0.06\", expect_size=\"12691456\"] \n  15 -> 16 [size =\"12691456\"]\n  16 [size=\"124270080\", alpha=\"0.05\", expect_size=\"49708032\"] \n  16 -> 17 [size =\"49708032\"]\n  17 [size=\"124070400\", alpha=\"0.16\", expect_size=\"49628160\"] \n  17 -> 18 [size =\"49628160\"]\n  18 [size=\"19379200\", alpha=\"0.17\", expect_size=\"7751680\"] \n  18 -> 19 [size =\"7751680\"]\n  19 [size=\"23086080\", alpha=\"0.04\", expect_size=\"9234432\"] \n  19 -> 20 [size =\"9234432\"]\n  20 [size=\"118676480\", alpha=\"0.16\", expect_size=\"47470592\"] \n  20 -> 21 [size =\"47470592\"]\n  21 [size=\"38881280\", alpha=\"0.03\", expect_size=\"15552512\"] \n  21 -> 22 [size =\"15552512\"]\n  22 [size=\"71234560\", alpha=\"0.14\", expect_size=\"28493824\"] \n  22 -> 23 [size =\"28493824\"]\n  23 [size=\"113290240\", alpha=\"0.06\", expect_size=\"45316096\"] \n  23 -> 24 [size =\"45316096\"]\n  24 [size=\"27496960\", alpha=\"0.11\", expect_size=\"10998784\"] \n  24 -> 25 [size =\"10998784\"]\n  25 [size=\"32834560\", alpha=\"0.19\", expect_size=\"13133824\"] \n  25 -> 26 [size =\"13133824\"]\n  26 [size=\"67292160\", alpha=\"0.20\", expect_size=\"26916864\"] \n  26 -> 27 [size =\"26916864\"]\n  27 [size=\"94952960\", alpha=\"0.13\", expect_size=\"37981184\"] \n  27 -> 28 [size =\"37981184\"]\n  28 [size=\"69378560\", alpha=\"0.08\", expect_size=\"27751424\"] \n  28 -> 29 [size =\"27751424\"]\n  29 [size=\"53788160\", alpha=\"0.08\", expect_size=\"21515264\"] \n  29 -> 30 [size =\"21515264\"]\n  30 [size=\"78123520\", alpha=\"0.14\", expect_size=\"31249408\"] \n  30 -> 31 [size =\"31249408\"]\n  31 [size=\"56409600\", alpha=\"0.18\", expect_size=\"22563840\"] \n  31 -> 32 [size =\"22563840\"]\n  32 [size=\"74291200\", alpha=\"0.12\", expect_size=\"29716480\"] \n  32 -> 33 [size =\"29716480\"]\n  33 [size=\"41587200\", alpha=\"0.14\", expect_size=\"16634880\"] \n  33 -> 34 [size =\"16634880\"]\n  34 [size=\"75898880\", alpha=\"0.03\", expect_size=\"30359552\"] \n  34 -> 35 [size =\"30359552\"]\n  35 [size=\"22860800\", alpha=\"0.15\", expect_size=\"9144320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98019840\", alpha=\"0.08\", expect_size=\"39207936\"] \n  1 -> 12 [size =\"39207936\"]\n  1 -> 17 [size =\"39207936\"]\n  1 -> 18 [size =\"39207936\"]\n  1 -> 19 [size =\"39207936\"]\n  1 -> 22 [size =\"39207936\"]\n  1 -> 23 [size =\"39207936\"]\n  2 [size=\"98470400\", alpha=\"0.15\", expect_size=\"39388160\"] \n  2 -> 8 [size =\"39388160\"]\n  2 -> 16 [size =\"39388160\"]\n  2 -> 17 [size =\"39388160\"]\n  2 -> 21 [size =\"39388160\"]\n  2 -> 23 [size =\"39388160\"]\n  3 [size=\"60613120\", alpha=\"0.13\", expect_size=\"24245248\"] \n  3 -> 9 [size =\"24245248\"]\n  3 -> 12 [size =\"24245248\"]\n  3 -> 13 [size =\"24245248\"]\n  3 -> 15 [size =\"24245248\"]\n  3 -> 16 [size =\"24245248\"]\n  3 -> 21 [size =\"24245248\"]\n  3 -> 23 [size =\"24245248\"]\n  4 [size=\"130255360\", alpha=\"0.17\", expect_size=\"52102144\"] \n  4 -> 9 [size =\"52102144\"]\n  4 -> 10 [size =\"52102144\"]\n  4 -> 14 [size =\"52102144\"]\n  4 -> 17 [size =\"52102144\"]\n  4 -> 20 [size =\"52102144\"]\n  5 [size=\"94353920\", alpha=\"0.00\", expect_size=\"37741568\"] \n  5 -> 8 [size =\"37741568\"]\n  5 -> 9 [size =\"37741568\"]\n  5 -> 10 [size =\"37741568\"]\n  5 -> 14 [size =\"37741568\"]\n  5 -> 15 [size =\"37741568\"]\n  5 -> 17 [size =\"37741568\"]\n  5 -> 20 [size =\"37741568\"]\n  5 -> 21 [size =\"37741568\"]\n  5 -> 22 [size =\"37741568\"]\n  5 -> 23 [size =\"37741568\"]\n  6 [size=\"119160320\", alpha=\"0.07\", expect_size=\"47664128\"] \n  6 -> 9 [size =\"47664128\"]\n  6 -> 9 [size =\"47664128\"]\n  6 -> 10 [size =\"47664128\"]\n  6 -> 14 [size =\"47664128\"]\n  6 -> 15 [size =\"47664128\"]\n  6 -> 17 [size =\"47664128\"]\n  6 -> 18 [size =\"47664128\"]\n  6 -> 19 [size =\"47664128\"]\n  6 -> 20 [size =\"47664128\"]\n  6 -> 21 [size =\"47664128\"]\n  6 -> 22 [size =\"47664128\"]\n  7 [size=\"52503040\", alpha=\"0.17\", expect_size=\"21001216\"] \n  7 -> 10 [size =\"21001216\"]\n  7 -> 11 [size =\"21001216\"]\n  7 -> 16 [size =\"21001216\"]\n  7 -> 20 [size =\"21001216\"]\n  7 -> 21 [size =\"21001216\"]\n  8 [size=\"23365120\", alpha=\"0.09\", expect_size=\"9346048\"] \n  8 -> 30 [size =\"9346048\"]\n  8 -> 31 [size =\"9346048\"]\n  8 -> 32 [size =\"9346048\"]\n  8 -> 34 [size =\"9346048\"]\n  9 [size=\"110479360\", alpha=\"0.18\", expect_size=\"44191744\"] \n  9 -> 30 [size =\"44191744\"]\n  9 -> 34 [size =\"44191744\"]\n  9 -> 35 [size =\"44191744\"]\n  10 [size=\"16488960\", alpha=\"0.15\", expect_size=\"6595584\"] \n  10 -> 28 [size =\"6595584\"]\n  10 -> 29 [size =\"6595584\"]\n  10 -> 34 [size =\"6595584\"]\n  11 [size=\"115804160\", alpha=\"0.11\", expect_size=\"46321664\"] \n  11 -> 25 [size =\"46321664\"]\n  11 -> 28 [size =\"46321664\"]\n  11 -> 29 [size =\"46321664\"]\n  11 -> 31 [size =\"46321664\"]\n  11 -> 32 [size =\"46321664\"]\n  11 -> 35 [size =\"46321664\"]\n  12 [size=\"42869760\", alpha=\"0.03\", expect_size=\"17147904\"] \n  12 -> 32 [size =\"17147904\"]\n  12 -> 35 [size =\"17147904\"]\n  13 [size=\"130790400\", alpha=\"0.09\", expect_size=\"52316160\"] \n  13 -> 24 [size =\"52316160\"]\n  13 -> 28 [size =\"52316160\"]\n  13 -> 29 [size =\"52316160\"]\n  13 -> 31 [size =\"52316160\"]\n  14 [size=\"90782720\", alpha=\"0.15\", expect_size=\"36313088\"] \n  14 -> 29 [size =\"36313088\"]\n  14 -> 32 [size =\"36313088\"]\n  15 [size=\"72261120\", alpha=\"0.12\", expect_size=\"28904448\"] \n  15 -> 29 [size =\"28904448\"]\n  15 -> 32 [size =\"28904448\"]\n  15 -> 33 [size =\"28904448\"]\n  16 [size=\"73047040\", alpha=\"0.07\", expect_size=\"29218816\"] \n  16 -> 26 [size =\"29218816\"]\n  16 -> 30 [size =\"29218816\"]\n  16 -> 31 [size =\"29218816\"]\n  16 -> 32 [size =\"29218816\"]\n  17 [size=\"113699840\", alpha=\"0.07\", expect_size=\"45479936\"] \n  17 -> 24 [size =\"45479936\"]\n  17 -> 28 [size =\"45479936\"]\n  17 -> 29 [size =\"45479936\"]\n  17 -> 32 [size =\"45479936\"]\n  17 -> 34 [size =\"45479936\"]\n  18 [size=\"96424960\", alpha=\"0.04\", expect_size=\"38569984\"] \n  18 -> 27 [size =\"38569984\"]\n  18 -> 28 [size =\"38569984\"]\n  19 [size=\"32867840\", alpha=\"0.12\", expect_size=\"13147136\"] \n  19 -> 24 [size =\"13147136\"]\n  19 -> 26 [size =\"13147136\"]\n  19 -> 27 [size =\"13147136\"]\n  19 -> 28 [size =\"13147136\"]\n  19 -> 31 [size =\"13147136\"]\n  19 -> 32 [size =\"13147136\"]\n  20 [size=\"19694080\", alpha=\"0.01\", expect_size=\"7877632\"] \n  20 -> 24 [size =\"7877632\"]\n  20 -> 25 [size =\"7877632\"]\n  20 -> 27 [size =\"7877632\"]\n  20 -> 31 [size =\"7877632\"]\n  20 -> 32 [size =\"7877632\"]\n  20 -> 33 [size =\"7877632\"]\n  21 [size=\"106193920\", alpha=\"0.05\", expect_size=\"42477568\"] \n  21 -> 31 [size =\"42477568\"]\n  21 -> 32 [size =\"42477568\"]\n  21 -> 33 [size =\"42477568\"]\n  22 [size=\"54049280\", alpha=\"0.03\", expect_size=\"21619712\"] \n  22 -> 24 [size =\"21619712\"]\n  22 -> 29 [size =\"21619712\"]\n  22 -> 33 [size =\"21619712\"]\n  23 [size=\"72921600\", alpha=\"0.09\", expect_size=\"29168640\"] \n  23 -> 28 [size =\"29168640\"]\n  23 -> 29 [size =\"29168640\"]\n  24 [size=\"125230080\", alpha=\"0.15\", expect_size=\"50092032\"] \n  25 [size=\"95239680\", alpha=\"0.14\", expect_size=\"38095872\"] \n  26 [size=\"46604800\", alpha=\"0.12\", expect_size=\"18641920\"] \n  27 [size=\"86533120\", alpha=\"0.17\", expect_size=\"34613248\"] \n  28 [size=\"125416960\", alpha=\"0.03\", expect_size=\"50166784\"] \n  29 [size=\"33100800\", alpha=\"0.05\", expect_size=\"13240320\"] \n  30 [size=\"102906880\", alpha=\"0.09\", expect_size=\"41162752\"] \n  31 [size=\"108879360\", alpha=\"0.09\", expect_size=\"43551744\"] \n  32 [size=\"17968640\", alpha=\"0.15\", expect_size=\"7187456\"] \n  33 [size=\"33500160\", alpha=\"0.01\", expect_size=\"13400064\"] \n  34 [size=\"85022720\", alpha=\"0.19\", expect_size=\"34009088\"] \n  35 [size=\"53752320\", alpha=\"0.08\", expect_size=\"21500928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124231680\", alpha=\"0.04\", expect_size=\"49692672\"] \n  1 -> 20 [size =\"49692672\"]\n  1 -> 23 [size =\"49692672\"]\n  1 -> 31 [size =\"49692672\"]\n  1 -> 32 [size =\"49692672\"]\n  1 -> 33 [size =\"49692672\"]\n  2 [size=\"109524480\", alpha=\"0.14\", expect_size=\"43809792\"] \n  2 -> 21 [size =\"43809792\"]\n  2 -> 22 [size =\"43809792\"]\n  2 -> 28 [size =\"43809792\"]\n  2 -> 31 [size =\"43809792\"]\n  2 -> 32 [size =\"43809792\"]\n  2 -> 34 [size =\"43809792\"]\n  3 [size=\"54310400\", alpha=\"0.06\", expect_size=\"21724160\"] \n  3 -> 21 [size =\"21724160\"]\n  3 -> 29 [size =\"21724160\"]\n  3 -> 31 [size =\"21724160\"]\n  3 -> 32 [size =\"21724160\"]\n  3 -> 33 [size =\"21724160\"]\n  3 -> 34 [size =\"21724160\"]\n  4 [size=\"128296960\", alpha=\"0.08\", expect_size=\"51318784\"] \n  4 -> 21 [size =\"51318784\"]\n  4 -> 31 [size =\"51318784\"]\n  5 [size=\"50462720\", alpha=\"0.14\", expect_size=\"20185088\"] \n  5 -> 21 [size =\"20185088\"]\n  5 -> 23 [size =\"20185088\"]\n  5 -> 24 [size =\"20185088\"]\n  5 -> 28 [size =\"20185088\"]\n  5 -> 31 [size =\"20185088\"]\n  5 -> 35 [size =\"20185088\"]\n  6 [size=\"74920960\", alpha=\"0.01\", expect_size=\"29968384\"] \n  6 -> 21 [size =\"29968384\"]\n  6 -> 23 [size =\"29968384\"]\n  6 -> 28 [size =\"29968384\"]\n  6 -> 30 [size =\"29968384\"]\n  6 -> 33 [size =\"29968384\"]\n  6 -> 34 [size =\"29968384\"]\n  6 -> 35 [size =\"29968384\"]\n  7 [size=\"128261120\", alpha=\"0.08\", expect_size=\"51304448\"] \n  7 -> 21 [size =\"51304448\"]\n  7 -> 31 [size =\"51304448\"]\n  7 -> 33 [size =\"51304448\"]\n  7 -> 35 [size =\"51304448\"]\n  8 [size=\"22574080\", alpha=\"0.17\", expect_size=\"9029632\"] \n  8 -> 21 [size =\"9029632\"]\n  8 -> 23 [size =\"9029632\"]\n  8 -> 24 [size =\"9029632\"]\n  8 -> 30 [size =\"9029632\"]\n  8 -> 32 [size =\"9029632\"]\n  8 -> 33 [size =\"9029632\"]\n  8 -> 35 [size =\"9029632\"]\n  9 [size=\"55843840\", alpha=\"0.01\", expect_size=\"22337536\"] \n  9 -> 21 [size =\"22337536\"]\n  9 -> 23 [size =\"22337536\"]\n  9 -> 27 [size =\"22337536\"]\n  9 -> 30 [size =\"22337536\"]\n  9 -> 32 [size =\"22337536\"]\n  9 -> 33 [size =\"22337536\"]\n  10 [size=\"71383040\", alpha=\"0.07\", expect_size=\"28553216\"] \n  10 -> 29 [size =\"28553216\"]\n  10 -> 31 [size =\"28553216\"]\n  10 -> 32 [size =\"28553216\"]\n  10 -> 33 [size =\"28553216\"]\n  11 [size=\"91059200\", alpha=\"0.04\", expect_size=\"36423680\"] \n  11 -> 22 [size =\"36423680\"]\n  11 -> 31 [size =\"36423680\"]\n  11 -> 32 [size =\"36423680\"]\n  11 -> 35 [size =\"36423680\"]\n  12 [size=\"113172480\", alpha=\"0.02\", expect_size=\"45268992\"] \n  12 -> 21 [size =\"45268992\"]\n  12 -> 22 [size =\"45268992\"]\n  12 -> 30 [size =\"45268992\"]\n  12 -> 31 [size =\"45268992\"]\n  12 -> 33 [size =\"45268992\"]\n  13 [size=\"76088320\", alpha=\"0.14\", expect_size=\"30435328\"] \n  13 -> 21 [size =\"30435328\"]\n  13 -> 22 [size =\"30435328\"]\n  13 -> 30 [size =\"30435328\"]\n  13 -> 35 [size =\"30435328\"]\n  14 [size=\"110824960\", alpha=\"0.19\", expect_size=\"44329984\"] \n  14 -> 21 [size =\"44329984\"]\n  14 -> 22 [size =\"44329984\"]\n  14 -> 24 [size =\"44329984\"]\n  14 -> 28 [size =\"44329984\"]\n  14 -> 30 [size =\"44329984\"]\n  14 -> 31 [size =\"44329984\"]\n  15 [size=\"39603200\", alpha=\"0.11\", expect_size=\"15841280\"] \n  15 -> 21 [size =\"15841280\"]\n  15 -> 22 [size =\"15841280\"]\n  15 -> 25 [size =\"15841280\"]\n  15 -> 28 [size =\"15841280\"]\n  15 -> 29 [size =\"15841280\"]\n  15 -> 30 [size =\"15841280\"]\n  15 -> 32 [size =\"15841280\"]\n  15 -> 35 [size =\"15841280\"]\n  16 [size=\"121397760\", alpha=\"0.17\", expect_size=\"48559104\"] \n  16 -> 26 [size =\"48559104\"]\n  16 -> 28 [size =\"48559104\"]\n  16 -> 32 [size =\"48559104\"]\n  16 -> 33 [size =\"48559104\"]\n  16 -> 35 [size =\"48559104\"]\n  17 [size=\"128483840\", alpha=\"0.05\", expect_size=\"51393536\"] \n  17 -> 23 [size =\"51393536\"]\n  17 -> 32 [size =\"51393536\"]\n  17 -> 32 [size =\"51393536\"]\n  17 -> 33 [size =\"51393536\"]\n  17 -> 34 [size =\"51393536\"]\n  17 -> 35 [size =\"51393536\"]\n  18 [size=\"55260160\", alpha=\"0.16\", expect_size=\"22104064\"] \n  18 -> 23 [size =\"22104064\"]\n  18 -> 27 [size =\"22104064\"]\n  18 -> 30 [size =\"22104064\"]\n  18 -> 32 [size =\"22104064\"]\n  18 -> 33 [size =\"22104064\"]\n  18 -> 35 [size =\"22104064\"]\n  19 [size=\"34626560\", alpha=\"0.09\", expect_size=\"13850624\"] \n  19 -> 21 [size =\"13850624\"]\n  19 -> 30 [size =\"13850624\"]\n  19 -> 33 [size =\"13850624\"]\n  20 [size=\"38574080\", alpha=\"0.14\", expect_size=\"15429632\"] \n  21 [size=\"77401600\", alpha=\"0.17\", expect_size=\"30960640\"] \n  22 [size=\"98928640\", alpha=\"0.17\", expect_size=\"39571456\"] \n  23 [size=\"113105920\", alpha=\"0.04\", expect_size=\"45242368\"] \n  24 [size=\"75673600\", alpha=\"0.10\", expect_size=\"30269440\"] \n  25 [size=\"71787520\", alpha=\"0.03\", expect_size=\"28715008\"] \n  26 [size=\"20080640\", alpha=\"0.06\", expect_size=\"8032256\"] \n  27 [size=\"118156800\", alpha=\"0.09\", expect_size=\"47262720\"] \n  28 [size=\"30310400\", alpha=\"0.13\", expect_size=\"12124160\"] \n  29 [size=\"122293760\", alpha=\"0.05\", expect_size=\"48917504\"] \n  30 [size=\"59857920\", alpha=\"0.06\", expect_size=\"23943168\"] \n  31 [size=\"24655360\", alpha=\"0.01\", expect_size=\"9862144\"] \n  32 [size=\"127810560\", alpha=\"0.12\", expect_size=\"51124224\"] \n  33 [size=\"111848960\", alpha=\"0.14\", expect_size=\"44739584\"] \n  34 [size=\"17973760\", alpha=\"0.13\", expect_size=\"7189504\"] \n  35 [size=\"79342080\", alpha=\"0.17\", expect_size=\"31736832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99822080\", alpha=\"0.09\", expect_size=\"39928832\"] \n  1 -> 2 [size =\"39928832\"]\n  2 [size=\"15905280\", alpha=\"0.14\", expect_size=\"6362112\"] \n  2 -> 3 [size =\"6362112\"]\n  3 [size=\"113710080\", alpha=\"0.07\", expect_size=\"45484032\"] \n  3 -> 4 [size =\"45484032\"]\n  4 [size=\"56949760\", alpha=\"0.07\", expect_size=\"22779904\"] \n  4 -> 5 [size =\"22779904\"]\n  5 [size=\"125332480\", alpha=\"0.11\", expect_size=\"50132992\"] \n  5 -> 6 [size =\"50132992\"]\n  6 [size=\"55943680\", alpha=\"0.12\", expect_size=\"22377472\"] \n  6 -> 7 [size =\"22377472\"]\n  7 [size=\"34575360\", alpha=\"0.03\", expect_size=\"13830144\"] \n  7 -> 8 [size =\"13830144\"]\n  8 [size=\"72893440\", alpha=\"0.15\", expect_size=\"29157376\"] \n  8 -> 9 [size =\"29157376\"]\n  9 [size=\"104537600\", alpha=\"0.06\", expect_size=\"41815040\"] \n  9 -> 10 [size =\"41815040\"]\n  10 [size=\"79874560\", alpha=\"0.17\", expect_size=\"31949824\"] \n  10 -> 11 [size =\"31949824\"]\n  11 [size=\"114880000\", alpha=\"0.04\", expect_size=\"45952000\"] \n  11 -> 12 [size =\"45952000\"]\n  12 [size=\"52490240\", alpha=\"0.01\", expect_size=\"20996096\"] \n  12 -> 13 [size =\"20996096\"]\n  13 [size=\"19507200\", alpha=\"0.14\", expect_size=\"7802880\"] \n  13 -> 14 [size =\"7802880\"]\n  14 [size=\"58219520\", alpha=\"0.03\", expect_size=\"23287808\"] \n  14 -> 15 [size =\"23287808\"]\n  15 [size=\"101475840\", alpha=\"0.03\", expect_size=\"40590336\"] \n  15 -> 16 [size =\"40590336\"]\n  16 [size=\"48642560\", alpha=\"0.07\", expect_size=\"19457024\"] \n  16 -> 17 [size =\"19457024\"]\n  17 [size=\"121689600\", alpha=\"0.08\", expect_size=\"48675840\"] \n  17 -> 18 [size =\"48675840\"]\n  18 [size=\"20700160\", alpha=\"0.15\", expect_size=\"8280064\"] \n  18 -> 19 [size =\"8280064\"]\n  19 [size=\"112035840\", alpha=\"0.05\", expect_size=\"44814336\"] \n  19 -> 20 [size =\"44814336\"]\n  20 [size=\"28779520\", alpha=\"0.19\", expect_size=\"11511808\"] \n  20 -> 21 [size =\"11511808\"]\n  21 [size=\"13624320\", alpha=\"0.08\", expect_size=\"5449728\"] \n  21 -> 22 [size =\"5449728\"]\n  22 [size=\"39536640\", alpha=\"0.17\", expect_size=\"15814656\"] \n  22 -> 23 [size =\"15814656\"]\n  23 [size=\"44480000\", alpha=\"0.03\", expect_size=\"17792000\"] \n  23 -> 24 [size =\"17792000\"]\n  24 [size=\"124792320\", alpha=\"0.16\", expect_size=\"49916928\"] \n  24 -> 25 [size =\"49916928\"]\n  25 [size=\"23208960\", alpha=\"0.09\", expect_size=\"9283584\"] \n  25 -> 26 [size =\"9283584\"]\n  26 [size=\"43530240\", alpha=\"0.09\", expect_size=\"17412096\"] \n  26 -> 27 [size =\"17412096\"]\n  27 [size=\"85242880\", alpha=\"0.12\", expect_size=\"34097152\"] \n  27 -> 28 [size =\"34097152\"]\n  28 [size=\"13217280\", alpha=\"0.06\", expect_size=\"5286912\"] \n  28 -> 29 [size =\"5286912\"]\n  29 [size=\"101130240\", alpha=\"0.15\", expect_size=\"40452096\"] \n  29 -> 30 [size =\"40452096\"]\n  30 [size=\"14801920\", alpha=\"0.15\", expect_size=\"5920768\"] \n  30 -> 31 [size =\"5920768\"]\n  31 [size=\"128048640\", alpha=\"0.13\", expect_size=\"51219456\"] \n  31 -> 32 [size =\"51219456\"]\n  32 [size=\"55731200\", alpha=\"0.17\", expect_size=\"22292480\"] \n  32 -> 33 [size =\"22292480\"]\n  33 [size=\"36574720\", alpha=\"0.02\", expect_size=\"14629888\"] \n  33 -> 34 [size =\"14629888\"]\n  34 [size=\"53219840\", alpha=\"0.16\", expect_size=\"21287936\"] \n  34 -> 35 [size =\"21287936\"]\n  35 [size=\"31549440\", alpha=\"0.04\", expect_size=\"12619776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105018880\", alpha=\"0.09\", expect_size=\"42007552\"] \n  1 -> 13 [size =\"42007552\"]\n  1 -> 16 [size =\"42007552\"]\n  1 -> 20 [size =\"42007552\"]\n  1 -> 21 [size =\"42007552\"]\n  1 -> 22 [size =\"42007552\"]\n  2 [size=\"50147840\", alpha=\"0.05\", expect_size=\"20059136\"] \n  2 -> 13 [size =\"20059136\"]\n  2 -> 16 [size =\"20059136\"]\n  2 -> 17 [size =\"20059136\"]\n  2 -> 19 [size =\"20059136\"]\n  2 -> 20 [size =\"20059136\"]\n  2 -> 21 [size =\"20059136\"]\n  3 [size=\"27599360\", alpha=\"0.15\", expect_size=\"11039744\"] \n  3 -> 13 [size =\"11039744\"]\n  3 -> 15 [size =\"11039744\"]\n  3 -> 16 [size =\"11039744\"]\n  3 -> 17 [size =\"11039744\"]\n  3 -> 20 [size =\"11039744\"]\n  4 [size=\"22755840\", alpha=\"0.03\", expect_size=\"9102336\"] \n  4 -> 13 [size =\"9102336\"]\n  4 -> 16 [size =\"9102336\"]\n  4 -> 17 [size =\"9102336\"]\n  4 -> 17 [size =\"9102336\"]\n  5 [size=\"54991360\", alpha=\"0.01\", expect_size=\"21996544\"] \n  5 -> 12 [size =\"21996544\"]\n  5 -> 15 [size =\"21996544\"]\n  5 -> 18 [size =\"21996544\"]\n  5 -> 19 [size =\"21996544\"]\n  6 [size=\"75051520\", alpha=\"0.19\", expect_size=\"30020608\"] \n  6 -> 15 [size =\"30020608\"]\n  6 -> 16 [size =\"30020608\"]\n  7 [size=\"121699840\", alpha=\"0.07\", expect_size=\"48679936\"] \n  7 -> 19 [size =\"48679936\"]\n  7 -> 20 [size =\"48679936\"]\n  8 [size=\"85527040\", alpha=\"0.03\", expect_size=\"34210816\"] \n  8 -> 13 [size =\"34210816\"]\n  8 -> 17 [size =\"34210816\"]\n  8 -> 20 [size =\"34210816\"]\n  8 -> 21 [size =\"34210816\"]\n  8 -> 22 [size =\"34210816\"]\n  9 [size=\"57950720\", alpha=\"0.13\", expect_size=\"23180288\"] \n  9 -> 12 [size =\"23180288\"]\n  10 [size=\"89397760\", alpha=\"0.11\", expect_size=\"35759104\"] \n  10 -> 13 [size =\"35759104\"]\n  10 -> 16 [size =\"35759104\"]\n  10 -> 21 [size =\"35759104\"]\n  11 [size=\"120007680\", alpha=\"0.12\", expect_size=\"48003072\"] \n  11 -> 13 [size =\"48003072\"]\n  11 -> 14 [size =\"48003072\"]\n  11 -> 15 [size =\"48003072\"]\n  11 -> 17 [size =\"48003072\"]\n  11 -> 19 [size =\"48003072\"]\n  11 -> 21 [size =\"48003072\"]\n  12 [size=\"56936960\", alpha=\"0.07\", expect_size=\"22774784\"] \n  12 -> 23 [size =\"22774784\"]\n  12 -> 24 [size =\"22774784\"]\n  12 -> 25 [size =\"22774784\"]\n  12 -> 26 [size =\"22774784\"]\n  12 -> 28 [size =\"22774784\"]\n  12 -> 31 [size =\"22774784\"]\n  12 -> 32 [size =\"22774784\"]\n  12 -> 33 [size =\"22774784\"]\n  12 -> 34 [size =\"22774784\"]\n  13 [size=\"86737920\", alpha=\"0.15\", expect_size=\"34695168\"] \n  13 -> 25 [size =\"34695168\"]\n  13 -> 26 [size =\"34695168\"]\n  13 -> 29 [size =\"34695168\"]\n  14 [size=\"59834880\", alpha=\"0.13\", expect_size=\"23933952\"] \n  14 -> 23 [size =\"23933952\"]\n  14 -> 30 [size =\"23933952\"]\n  14 -> 33 [size =\"23933952\"]\n  14 -> 34 [size =\"23933952\"]\n  15 [size=\"80442880\", alpha=\"0.12\", expect_size=\"32177152\"] \n  15 -> 23 [size =\"32177152\"]\n  15 -> 26 [size =\"32177152\"]\n  15 -> 27 [size =\"32177152\"]\n  15 -> 28 [size =\"32177152\"]\n  15 -> 29 [size =\"32177152\"]\n  15 -> 30 [size =\"32177152\"]\n  15 -> 33 [size =\"32177152\"]\n  16 [size=\"86817280\", alpha=\"0.00\", expect_size=\"34726912\"] \n  16 -> 24 [size =\"34726912\"]\n  16 -> 25 [size =\"34726912\"]\n  16 -> 27 [size =\"34726912\"]\n  16 -> 30 [size =\"34726912\"]\n  16 -> 32 [size =\"34726912\"]\n  16 -> 33 [size =\"34726912\"]\n  16 -> 33 [size =\"34726912\"]\n  17 [size=\"82227200\", alpha=\"0.01\", expect_size=\"32890880\"] \n  17 -> 23 [size =\"32890880\"]\n  17 -> 27 [size =\"32890880\"]\n  17 -> 30 [size =\"32890880\"]\n  17 -> 30 [size =\"32890880\"]\n  17 -> 33 [size =\"32890880\"]\n  17 -> 33 [size =\"32890880\"]\n  18 [size=\"125237760\", alpha=\"0.04\", expect_size=\"50095104\"] \n  18 -> 23 [size =\"50095104\"]\n  18 -> 27 [size =\"50095104\"]\n  18 -> 29 [size =\"50095104\"]\n  18 -> 30 [size =\"50095104\"]\n  18 -> 32 [size =\"50095104\"]\n  19 [size=\"26516480\", alpha=\"0.20\", expect_size=\"10606592\"] \n  19 -> 23 [size =\"10606592\"]\n  19 -> 25 [size =\"10606592\"]\n  19 -> 28 [size =\"10606592\"]\n  19 -> 29 [size =\"10606592\"]\n  20 [size=\"104791040\", alpha=\"0.01\", expect_size=\"41916416\"] \n  20 -> 23 [size =\"41916416\"]\n  20 -> 27 [size =\"41916416\"]\n  20 -> 28 [size =\"41916416\"]\n  20 -> 32 [size =\"41916416\"]\n  21 [size=\"52876800\", alpha=\"0.17\", expect_size=\"21150720\"] \n  21 -> 24 [size =\"21150720\"]\n  21 -> 27 [size =\"21150720\"]\n  21 -> 28 [size =\"21150720\"]\n  21 -> 29 [size =\"21150720\"]\n  21 -> 30 [size =\"21150720\"]\n  21 -> 32 [size =\"21150720\"]\n  22 [size=\"122414080\", alpha=\"0.19\", expect_size=\"48965632\"] \n  22 -> 24 [size =\"48965632\"]\n  22 -> 27 [size =\"48965632\"]\n  22 -> 28 [size =\"48965632\"]\n  22 -> 30 [size =\"48965632\"]\n  22 -> 32 [size =\"48965632\"]\n  22 -> 34 [size =\"48965632\"]\n  23 [size=\"44113920\", alpha=\"0.04\", expect_size=\"17645568\"] \n  24 [size=\"15060480\", alpha=\"0.11\", expect_size=\"6024192\"] \n  24 -> 35 [size =\"6024192\"]\n  25 [size=\"92741120\", alpha=\"0.05\", expect_size=\"37096448\"] \n  25 -> 35 [size =\"37096448\"]\n  26 [size=\"48081920\", alpha=\"0.09\", expect_size=\"19232768\"] \n  27 [size=\"48872960\", alpha=\"0.11\", expect_size=\"19549184\"] \n  28 [size=\"57492480\", alpha=\"0.06\", expect_size=\"22996992\"] \n  28 -> 35 [size =\"22996992\"]\n  29 [size=\"78932480\", alpha=\"0.09\", expect_size=\"31572992\"] \n  29 -> 35 [size =\"31572992\"]\n  30 [size=\"78369280\", alpha=\"0.04\", expect_size=\"31347712\"] \n  30 -> 35 [size =\"31347712\"]\n  31 [size=\"81610240\", alpha=\"0.18\", expect_size=\"32644096\"] \n  31 -> 35 [size =\"32644096\"]\n  32 [size=\"62607360\", alpha=\"0.19\", expect_size=\"25042944\"] \n  32 -> 35 [size =\"25042944\"]\n  33 [size=\"58398720\", alpha=\"0.12\", expect_size=\"23359488\"] \n  34 [size=\"83481600\", alpha=\"0.14\", expect_size=\"33392640\"] \n  34 -> 35 [size =\"33392640\"]\n  35 [size=\"29542400\", alpha=\"0.06\", expect_size=\"11816960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65480704\", alpha=\"0.17\", expect_size=\"32740352\"] \n  1 -> 5 [size =\"32740352\"]\n  1 -> 6 [size =\"32740352\"]\n  1 -> 7 [size =\"32740352\"]\n  2 [size=\"23482368\", alpha=\"0.12\", expect_size=\"11741184\"] \n  2 -> 6 [size =\"11741184\"]\n  2 -> 7 [size =\"11741184\"]\n  3 [size=\"38727680\", alpha=\"0.19\", expect_size=\"19363840\"] \n  3 -> 4 [size =\"19363840\"]\n  3 -> 6 [size =\"19363840\"]\n  3 -> 7 [size =\"19363840\"]\n  4 [size=\"19947520\", alpha=\"0.15\", expect_size=\"9973760\"] \n  4 -> 8 [size =\"9973760\"]\n  4 -> 9 [size =\"9973760\"]\n  4 -> 10 [size =\"9973760\"]\n  4 -> 11 [size =\"9973760\"]\n  5 [size=\"84889600\", alpha=\"0.14\", expect_size=\"42444800\"] \n  5 -> 8 [size =\"42444800\"]\n  5 -> 9 [size =\"42444800\"]\n  5 -> 12 [size =\"42444800\"]\n  6 [size=\"66340864\", alpha=\"0.16\", expect_size=\"33170432\"] \n  6 -> 8 [size =\"33170432\"]\n  6 -> 9 [size =\"33170432\"]\n  6 -> 11 [size =\"33170432\"]\n  7 [size=\"79720448\", alpha=\"0.19\", expect_size=\"39860224\"] \n  7 -> 8 [size =\"39860224\"]\n  7 -> 9 [size =\"39860224\"]\n  7 -> 10 [size =\"39860224\"]\n  7 -> 11 [size =\"39860224\"]\n  7 -> 12 [size =\"39860224\"]\n  8 [size=\"37650432\", alpha=\"0.04\", expect_size=\"18825216\"] \n  8 -> 13 [size =\"18825216\"]\n  9 [size=\"68464640\", alpha=\"0.16\", expect_size=\"34232320\"] \n  9 -> 13 [size =\"34232320\"]\n  10 [size=\"62095360\", alpha=\"0.14\", expect_size=\"31047680\"] \n  10 -> 14 [size =\"31047680\"]\n  10 -> 16 [size =\"31047680\"]\n  10 -> 17 [size =\"31047680\"]\n  11 [size=\"50442240\", alpha=\"0.13\", expect_size=\"25221120\"] \n  11 -> 13 [size =\"25221120\"]\n  11 -> 14 [size =\"25221120\"]\n  11 -> 15 [size =\"25221120\"]\n  11 -> 16 [size =\"25221120\"]\n  11 -> 17 [size =\"25221120\"]\n  12 [size=\"35846144\", alpha=\"0.01\", expect_size=\"17923072\"] \n  12 -> 13 [size =\"17923072\"]\n  12 -> 14 [size =\"17923072\"]\n  12 -> 16 [size =\"17923072\"]\n  12 -> 16 [size =\"17923072\"]\n  13 [size=\"94263296\", alpha=\"0.20\", expect_size=\"47131648\"] \n  13 -> 19 [size =\"47131648\"]\n  13 -> 21 [size =\"47131648\"]\n  13 -> 22 [size =\"47131648\"]\n  13 -> 23 [size =\"47131648\"]\n  14 [size=\"88481792\", alpha=\"0.01\", expect_size=\"44240896\"] \n  14 -> 18 [size =\"44240896\"]\n  14 -> 20 [size =\"44240896\"]\n  14 -> 22 [size =\"44240896\"]\n  14 -> 24 [size =\"44240896\"]\n  15 [size=\"63033344\", alpha=\"0.15\", expect_size=\"31516672\"] \n  15 -> 19 [size =\"31516672\"]\n  15 -> 20 [size =\"31516672\"]\n  15 -> 21 [size =\"31516672\"]\n  15 -> 22 [size =\"31516672\"]\n  15 -> 24 [size =\"31516672\"]\n  16 [size=\"36438016\", alpha=\"0.14\", expect_size=\"18219008\"] \n  16 -> 18 [size =\"18219008\"]\n  16 -> 19 [size =\"18219008\"]\n  16 -> 20 [size =\"18219008\"]\n  16 -> 22 [size =\"18219008\"]\n  17 [size=\"15267840\", alpha=\"0.04\", expect_size=\"7633920\"] \n  17 -> 18 [size =\"7633920\"]\n  17 -> 19 [size =\"7633920\"]\n  17 -> 20 [size =\"7633920\"]\n  17 -> 22 [size =\"7633920\"]\n  17 -> 23 [size =\"7633920\"]\n  17 -> 24 [size =\"7633920\"]\n  18 [size=\"104333312\", alpha=\"0.19\", expect_size=\"52166656\"] \n  18 -> 26 [size =\"52166656\"]\n  19 [size=\"27043840\", alpha=\"0.07\", expect_size=\"13521920\"] \n  19 -> 25 [size =\"13521920\"]\n  19 -> 26 [size =\"13521920\"]\n  20 [size=\"104843264\", alpha=\"0.19\", expect_size=\"52421632\"] \n  20 -> 25 [size =\"52421632\"]\n  20 -> 26 [size =\"52421632\"]\n  21 [size=\"78196736\", alpha=\"0.03\", expect_size=\"39098368\"] \n  21 -> 25 [size =\"39098368\"]\n  22 [size=\"43520000\", alpha=\"0.10\", expect_size=\"21760000\"] \n  22 -> 25 [size =\"21760000\"]\n  22 -> 26 [size =\"21760000\"]\n  22 -> 27 [size =\"21760000\"]\n  23 [size=\"47151104\", alpha=\"0.03\", expect_size=\"23575552\"] \n  23 -> 25 [size =\"23575552\"]\n  23 -> 26 [size =\"23575552\"]\n  24 [size=\"46309376\", alpha=\"0.17\", expect_size=\"23154688\"] \n  24 -> 25 [size =\"23154688\"]\n  25 [size=\"51681280\", alpha=\"0.08\", expect_size=\"25840640\"] \n  25 -> 28 [size =\"25840640\"]\n  25 -> 29 [size =\"25840640\"]\n  25 -> 30 [size =\"25840640\"]\n  25 -> 31 [size =\"25840640\"]\n  25 -> 32 [size =\"25840640\"]\n  26 [size=\"25774080\", alpha=\"0.10\", expect_size=\"12887040\"] \n  26 -> 29 [size =\"12887040\"]\n  26 -> 30 [size =\"12887040\"]\n  26 -> 31 [size =\"12887040\"]\n  26 -> 32 [size =\"12887040\"]\n  26 -> 32 [size =\"12887040\"]\n  26 -> 33 [size =\"12887040\"]\n  27 [size=\"91949056\", alpha=\"0.07\", expect_size=\"45974528\"] \n  27 -> 29 [size =\"45974528\"]\n  27 -> 30 [size =\"45974528\"]\n  27 -> 31 [size =\"45974528\"]\n  27 -> 33 [size =\"45974528\"]\n  28 [size=\"17692672\", alpha=\"0.09\", expect_size=\"8846336\"] \n  28 -> 35 [size =\"8846336\"]\n  29 [size=\"13369344\", alpha=\"0.04\", expect_size=\"6684672\"] \n  29 -> 34 [size =\"6684672\"]\n  29 -> 35 [size =\"6684672\"]\n  30 [size=\"46974976\", alpha=\"0.10\", expect_size=\"23487488\"] \n  30 -> 35 [size =\"23487488\"]\n  31 [size=\"43988992\", alpha=\"0.05\", expect_size=\"21994496\"] \n  31 -> 35 [size =\"21994496\"]\n  32 [size=\"59410432\", alpha=\"0.04\", expect_size=\"29705216\"] \n  33 [size=\"11862016\", alpha=\"0.02\", expect_size=\"5931008\"] \n  33 -> 35 [size =\"5931008\"]\n  34 [size=\"23959552\", alpha=\"0.16\", expect_size=\"11979776\"] \n  35 [size=\"10795008\", alpha=\"0.01\", expect_size=\"5397504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31545344\", alpha=\"0.08\", expect_size=\"15772672\"] \n  1 -> 3 [size =\"15772672\"]\n  2 [size=\"68632576\", alpha=\"0.19\", expect_size=\"34316288\"] \n  2 -> 3 [size =\"34316288\"]\n  3 [size=\"64124928\", alpha=\"0.05\", expect_size=\"32062464\"] \n  3 -> 4 [size =\"32062464\"]\n  4 [size=\"90699776\", alpha=\"0.08\", expect_size=\"45349888\"] \n  4 -> 5 [size =\"45349888\"]\n  5 [size=\"54177792\", alpha=\"0.11\", expect_size=\"27088896\"] \n  5 -> 6 [size =\"27088896\"]\n  5 -> 7 [size =\"27088896\"]\n  6 [size=\"61886464\", alpha=\"0.01\", expect_size=\"30943232\"] \n  6 -> 8 [size =\"30943232\"]\n  7 [size=\"81285120\", alpha=\"0.06\", expect_size=\"40642560\"] \n  7 -> 8 [size =\"40642560\"]\n  8 [size=\"68868096\", alpha=\"0.09\", expect_size=\"34434048\"] \n  8 -> 9 [size =\"34434048\"]\n  8 -> 10 [size =\"34434048\"]\n  9 [size=\"63991808\", alpha=\"0.17\", expect_size=\"31995904\"] \n  9 -> 11 [size =\"31995904\"]\n  9 -> 12 [size =\"31995904\"]\n  10 [size=\"42510336\", alpha=\"0.03\", expect_size=\"21255168\"] \n  10 -> 11 [size =\"21255168\"]\n  10 -> 12 [size =\"21255168\"]\n  11 [size=\"83030016\", alpha=\"0.16\", expect_size=\"41515008\"] \n  11 -> 13 [size =\"41515008\"]\n  12 [size=\"26048512\", alpha=\"0.04\", expect_size=\"13024256\"] \n  13 [size=\"22724608\", alpha=\"0.15\", expect_size=\"11362304\"] \n  13 -> 14 [size =\"11362304\"]\n  14 [size=\"44322816\", alpha=\"0.02\", expect_size=\"22161408\"] \n  14 -> 15 [size =\"22161408\"]\n  14 -> 16 [size =\"22161408\"]\n  15 [size=\"80017408\", alpha=\"0.08\", expect_size=\"40008704\"] \n  16 [size=\"39307264\", alpha=\"0.12\", expect_size=\"19653632\"] \n  16 -> 17 [size =\"19653632\"]\n  17 [size=\"41754624\", alpha=\"0.19\", expect_size=\"20877312\"] \n  17 -> 18 [size =\"20877312\"]\n  18 [size=\"70354944\", alpha=\"0.03\", expect_size=\"35177472\"] \n  18 -> 19 [size =\"35177472\"]\n  19 [size=\"16111616\", alpha=\"0.17\", expect_size=\"8055808\"] \n  19 -> 20 [size =\"8055808\"]\n  20 [size=\"96333824\", alpha=\"0.14\", expect_size=\"48166912\"] \n  20 -> 21 [size =\"48166912\"]\n  20 -> 22 [size =\"48166912\"]\n  21 [size=\"18368512\", alpha=\"0.15\", expect_size=\"9184256\"] \n  21 -> 23 [size =\"9184256\"]\n  21 -> 24 [size =\"9184256\"]\n  22 [size=\"95215616\", alpha=\"0.09\", expect_size=\"47607808\"] \n  22 -> 23 [size =\"47607808\"]\n  22 -> 24 [size =\"47607808\"]\n  23 [size=\"21063680\", alpha=\"0.14\", expect_size=\"10531840\"] \n  23 -> 25 [size =\"10531840\"]\n  24 [size=\"93108224\", alpha=\"0.15\", expect_size=\"46554112\"] \n  24 -> 25 [size =\"46554112\"]\n  25 [size=\"103403520\", alpha=\"0.07\", expect_size=\"51701760\"] \n  25 -> 26 [size =\"51701760\"]\n  25 -> 27 [size =\"51701760\"]\n  26 [size=\"48343040\", alpha=\"0.09\", expect_size=\"24171520\"] \n  26 -> 28 [size =\"24171520\"]\n  26 -> 29 [size =\"24171520\"]\n  27 [size=\"103335936\", alpha=\"0.06\", expect_size=\"51667968\"] \n  27 -> 28 [size =\"51667968\"]\n  28 [size=\"100032512\", alpha=\"0.15\", expect_size=\"50016256\"] \n  28 -> 30 [size =\"50016256\"]\n  29 [size=\"19040256\", alpha=\"0.16\", expect_size=\"9520128\"] \n  29 -> 30 [size =\"9520128\"]\n  30 [size=\"100579328\", alpha=\"0.03\", expect_size=\"50289664\"] \n  30 -> 31 [size =\"50289664\"]\n  30 -> 32 [size =\"50289664\"]\n  31 [size=\"72298496\", alpha=\"0.06\", expect_size=\"36149248\"] \n  32 [size=\"49629184\", alpha=\"0.12\", expect_size=\"24814592\"] \n  32 -> 33 [size =\"24814592\"]\n  33 [size=\"90720256\", alpha=\"0.01\", expect_size=\"45360128\"] \n  33 -> 34 [size =\"45360128\"]\n  34 [size=\"60465152\", alpha=\"0.17\", expect_size=\"30232576\"] \n  34 -> 35 [size =\"30232576\"]\n  35 [size=\"39077888\", alpha=\"0.08\", expect_size=\"19538944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93042688\", alpha=\"0.01\", expect_size=\"46521344\"] \n  1 -> 2 [size =\"46521344\"]\n  2 [size=\"83197952\", alpha=\"0.00\", expect_size=\"41598976\"] \n  2 -> 3 [size =\"41598976\"]\n  2 -> 4 [size =\"41598976\"]\n  3 [size=\"27158528\", alpha=\"0.10\", expect_size=\"13579264\"] \n  3 -> 5 [size =\"13579264\"]\n  3 -> 6 [size =\"13579264\"]\n  4 [size=\"14454784\", alpha=\"0.03\", expect_size=\"7227392\"] \n  4 -> 5 [size =\"7227392\"]\n  4 -> 6 [size =\"7227392\"]\n  5 [size=\"22616064\", alpha=\"0.04\", expect_size=\"11308032\"] \n  5 -> 7 [size =\"11308032\"]\n  5 -> 8 [size =\"11308032\"]\n  6 [size=\"50577408\", alpha=\"0.02\", expect_size=\"25288704\"] \n  6 -> 7 [size =\"25288704\"]\n  6 -> 8 [size =\"25288704\"]\n  7 [size=\"76564480\", alpha=\"0.18\", expect_size=\"38282240\"] \n  7 -> 9 [size =\"38282240\"]\n  8 [size=\"100544512\", alpha=\"0.01\", expect_size=\"50272256\"] \n  8 -> 9 [size =\"50272256\"]\n  9 [size=\"19742720\", alpha=\"0.19\", expect_size=\"9871360\"] \n  9 -> 10 [size =\"9871360\"]\n  9 -> 11 [size =\"9871360\"]\n  10 [size=\"25600000\", alpha=\"0.09\", expect_size=\"12800000\"] \n  10 -> 12 [size =\"12800000\"]\n  11 [size=\"31072256\", alpha=\"0.12\", expect_size=\"15536128\"] \n  11 -> 12 [size =\"15536128\"]\n  12 [size=\"35919872\", alpha=\"0.18\", expect_size=\"17959936\"] \n  12 -> 13 [size =\"17959936\"]\n  13 [size=\"37656576\", alpha=\"0.08\", expect_size=\"18828288\"] \n  13 -> 14 [size =\"18828288\"]\n  13 -> 15 [size =\"18828288\"]\n  14 [size=\"84203520\", alpha=\"0.15\", expect_size=\"42101760\"] \n  14 -> 17 [size =\"42101760\"]\n  15 [size=\"99041280\", alpha=\"0.20\", expect_size=\"49520640\"] \n  15 -> 16 [size =\"49520640\"]\n  15 -> 17 [size =\"49520640\"]\n  16 [size=\"24340480\", alpha=\"0.19\", expect_size=\"12170240\"] \n  16 -> 18 [size =\"12170240\"]\n  17 [size=\"32395264\", alpha=\"0.08\", expect_size=\"16197632\"] \n  17 -> 18 [size =\"16197632\"]\n  18 [size=\"23345152\", alpha=\"0.03\", expect_size=\"11672576\"] \n  18 -> 19 [size =\"11672576\"]\n  18 -> 20 [size =\"11672576\"]\n  19 [size=\"29067264\", alpha=\"0.04\", expect_size=\"14533632\"] \n  19 -> 21 [size =\"14533632\"]\n  19 -> 22 [size =\"14533632\"]\n  20 [size=\"22282240\", alpha=\"0.03\", expect_size=\"11141120\"] \n  20 -> 21 [size =\"11141120\"]\n  20 -> 22 [size =\"11141120\"]\n  21 [size=\"64319488\", alpha=\"0.19\", expect_size=\"32159744\"] \n  21 -> 23 [size =\"32159744\"]\n  22 [size=\"28823552\", alpha=\"0.11\", expect_size=\"14411776\"] \n  23 [size=\"21301248\", alpha=\"0.06\", expect_size=\"10650624\"] \n  23 -> 24 [size =\"10650624\"]\n  24 [size=\"57509888\", alpha=\"0.02\", expect_size=\"28754944\"] \n  24 -> 25 [size =\"28754944\"]\n  25 [size=\"35446784\", alpha=\"0.01\", expect_size=\"17723392\"] \n  25 -> 26 [size =\"17723392\"]\n  26 [size=\"33581056\", alpha=\"0.08\", expect_size=\"16790528\"] \n  26 -> 27 [size =\"16790528\"]\n  27 [size=\"27981824\", alpha=\"0.09\", expect_size=\"13990912\"] \n  27 -> 28 [size =\"13990912\"]\n  27 -> 29 [size =\"13990912\"]\n  28 [size=\"66060288\", alpha=\"0.09\", expect_size=\"33030144\"] \n  29 [size=\"79892480\", alpha=\"0.11\", expect_size=\"39946240\"] \n  29 -> 30 [size =\"39946240\"]\n  30 [size=\"100208640\", alpha=\"0.17\", expect_size=\"50104320\"] \n  30 -> 31 [size =\"50104320\"]\n  30 -> 32 [size =\"50104320\"]\n  31 [size=\"20332544\", alpha=\"0.07\", expect_size=\"10166272\"] \n  31 -> 33 [size =\"10166272\"]\n  31 -> 34 [size =\"10166272\"]\n  32 [size=\"17188864\", alpha=\"0.02\", expect_size=\"8594432\"] \n  32 -> 33 [size =\"8594432\"]\n  32 -> 34 [size =\"8594432\"]\n  33 [size=\"69120000\", alpha=\"0.03\", expect_size=\"34560000\"] \n  33 -> 35 [size =\"34560000\"]\n  34 [size=\"98428928\", alpha=\"0.19\", expect_size=\"49214464\"] \n  34 -> 35 [size =\"49214464\"]\n  35 [size=\"14714880\", alpha=\"0.14\", expect_size=\"7357440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92368213\", alpha=\"0.01\", expect_size=\"27710464\"] \n  1 -> 25 [size =\"27710464\"]\n  1 -> 26 [size =\"27710464\"]\n  1 -> 27 [size =\"27710464\"]\n  1 -> 28 [size =\"27710464\"]\n  1 -> 31 [size =\"27710464\"]\n  2 [size=\"22930773\", alpha=\"0.03\", expect_size=\"6879232\"] \n  2 -> 27 [size =\"6879232\"]\n  2 -> 28 [size =\"6879232\"]\n  2 -> 29 [size =\"6879232\"]\n  2 -> 31 [size =\"6879232\"]\n  3 [size=\"161402880\", alpha=\"0.08\", expect_size=\"48420864\"] \n  3 -> 24 [size =\"48420864\"]\n  3 -> 25 [size =\"48420864\"]\n  3 -> 27 [size =\"48420864\"]\n  3 -> 28 [size =\"48420864\"]\n  3 -> 29 [size =\"48420864\"]\n  3 -> 31 [size =\"48420864\"]\n  4 [size=\"34536107\", alpha=\"0.09\", expect_size=\"10360832\"] \n  4 -> 24 [size =\"10360832\"]\n  4 -> 25 [size =\"10360832\"]\n  4 -> 27 [size =\"10360832\"]\n  4 -> 28 [size =\"10360832\"]\n  4 -> 30 [size =\"10360832\"]\n  4 -> 31 [size =\"10360832\"]\n  4 -> 33 [size =\"10360832\"]\n  5 [size=\"56535040\", alpha=\"0.01\", expect_size=\"16960512\"] \n  5 -> 27 [size =\"16960512\"]\n  5 -> 30 [size =\"16960512\"]\n  6 [size=\"125279573\", alpha=\"0.14\", expect_size=\"37583872\"] \n  6 -> 27 [size =\"37583872\"]\n  6 -> 30 [size =\"37583872\"]\n  6 -> 31 [size =\"37583872\"]\n  6 -> 32 [size =\"37583872\"]\n  7 [size=\"131082240\", alpha=\"0.19\", expect_size=\"39324672\"] \n  7 -> 27 [size =\"39324672\"]\n  7 -> 29 [size =\"39324672\"]\n  7 -> 31 [size =\"39324672\"]\n  7 -> 32 [size =\"39324672\"]\n  8 [size=\"146216960\", alpha=\"0.13\", expect_size=\"43865088\"] \n  8 -> 25 [size =\"43865088\"]\n  8 -> 30 [size =\"43865088\"]\n  8 -> 31 [size =\"43865088\"]\n  9 [size=\"173581653\", alpha=\"0.10\", expect_size=\"52074496\"] \n  9 -> 25 [size =\"52074496\"]\n  9 -> 29 [size =\"52074496\"]\n  9 -> 30 [size =\"52074496\"]\n  9 -> 31 [size =\"52074496\"]\n  9 -> 33 [size =\"52074496\"]\n  10 [size=\"44458667\", alpha=\"0.18\", expect_size=\"13337600\"] \n  10 -> 24 [size =\"13337600\"]\n  10 -> 25 [size =\"13337600\"]\n  10 -> 27 [size =\"13337600\"]\n  10 -> 28 [size =\"13337600\"]\n  10 -> 31 [size =\"13337600\"]\n  10 -> 35 [size =\"13337600\"]\n  11 [size=\"92508160\", alpha=\"0.09\", expect_size=\"27752448\"] \n  11 -> 24 [size =\"27752448\"]\n  11 -> 25 [size =\"27752448\"]\n  11 -> 27 [size =\"27752448\"]\n  11 -> 28 [size =\"27752448\"]\n  11 -> 31 [size =\"27752448\"]\n  11 -> 32 [size =\"27752448\"]\n  12 [size=\"98385920\", alpha=\"0.10\", expect_size=\"29515776\"] \n  12 -> 28 [size =\"29515776\"]\n  12 -> 33 [size =\"29515776\"]\n  13 [size=\"121589760\", alpha=\"0.19\", expect_size=\"36476928\"] \n  13 -> 24 [size =\"36476928\"]\n  13 -> 25 [size =\"36476928\"]\n  13 -> 27 [size =\"36476928\"]\n  13 -> 28 [size =\"36476928\"]\n  13 -> 33 [size =\"36476928\"]\n  14 [size=\"27723093\", alpha=\"0.05\", expect_size=\"8316928\"] \n  14 -> 25 [size =\"8316928\"]\n  14 -> 26 [size =\"8316928\"]\n  14 -> 28 [size =\"8316928\"]\n  14 -> 28 [size =\"8316928\"]\n  14 -> 30 [size =\"8316928\"]\n  14 -> 31 [size =\"8316928\"]\n  14 -> 32 [size =\"8316928\"]\n  14 -> 33 [size =\"8316928\"]\n  15 [size=\"95511893\", alpha=\"0.19\", expect_size=\"28653568\"] \n  15 -> 26 [size =\"28653568\"]\n  15 -> 27 [size =\"28653568\"]\n  15 -> 28 [size =\"28653568\"]\n  15 -> 31 [size =\"28653568\"]\n  16 [size=\"100235947\", alpha=\"0.04\", expect_size=\"30070784\"] \n  16 -> 25 [size =\"30070784\"]\n  16 -> 26 [size =\"30070784\"]\n  16 -> 27 [size =\"30070784\"]\n  16 -> 28 [size =\"30070784\"]\n  16 -> 30 [size =\"30070784\"]\n  16 -> 31 [size =\"30070784\"]\n  16 -> 32 [size =\"30070784\"]\n  17 [size=\"53582507\", alpha=\"0.14\", expect_size=\"16074752\"] \n  17 -> 25 [size =\"16074752\"]\n  17 -> 27 [size =\"16074752\"]\n  17 -> 28 [size =\"16074752\"]\n  17 -> 30 [size =\"16074752\"]\n  17 -> 31 [size =\"16074752\"]\n  17 -> 31 [size =\"16074752\"]\n  17 -> 33 [size =\"16074752\"]\n  18 [size=\"43752107\", alpha=\"0.11\", expect_size=\"13125632\"] \n  18 -> 25 [size =\"13125632\"]\n  18 -> 27 [size =\"13125632\"]\n  18 -> 28 [size =\"13125632\"]\n  18 -> 30 [size =\"13125632\"]\n  18 -> 31 [size =\"13125632\"]\n  18 -> 33 [size =\"13125632\"]\n  19 [size=\"146674347\", alpha=\"0.14\", expect_size=\"44002304\"] \n  19 -> 27 [size =\"44002304\"]\n  19 -> 27 [size =\"44002304\"]\n  19 -> 28 [size =\"44002304\"]\n  19 -> 30 [size =\"44002304\"]\n  19 -> 31 [size =\"44002304\"]\n  19 -> 32 [size =\"44002304\"]\n  19 -> 34 [size =\"44002304\"]\n  19 -> 35 [size =\"44002304\"]\n  20 [size=\"68365653\", alpha=\"0.13\", expect_size=\"20509696\"] \n  20 -> 26 [size =\"20509696\"]\n  20 -> 29 [size =\"20509696\"]\n  20 -> 31 [size =\"20509696\"]\n  20 -> 34 [size =\"20509696\"]\n  21 [size=\"51039573\", alpha=\"0.01\", expect_size=\"15311872\"] \n  21 -> 25 [size =\"15311872\"]\n  21 -> 28 [size =\"15311872\"]\n  21 -> 31 [size =\"15311872\"]\n  22 [size=\"122443093\", alpha=\"0.10\", expect_size=\"36732928\"] \n  22 -> 27 [size =\"36732928\"]\n  22 -> 28 [size =\"36732928\"]\n  22 -> 31 [size =\"36732928\"]\n  23 [size=\"45899093\", alpha=\"0.17\", expect_size=\"13769728\"] \n  23 -> 24 [size =\"13769728\"]\n  23 -> 26 [size =\"13769728\"]\n  23 -> 27 [size =\"13769728\"]\n  23 -> 28 [size =\"13769728\"]\n  23 -> 31 [size =\"13769728\"]\n  23 -> 34 [size =\"13769728\"]\n  24 [size=\"35863893\", alpha=\"0.07\", expect_size=\"10759168\"] \n  25 [size=\"75141120\", alpha=\"0.01\", expect_size=\"22542336\"] \n  26 [size=\"68799147\", alpha=\"0.09\", expect_size=\"20639744\"] \n  27 [size=\"97809067\", alpha=\"0.12\", expect_size=\"29342720\"] \n  28 [size=\"47148373\", alpha=\"0.11\", expect_size=\"14144512\"] \n  29 [size=\"130611200\", alpha=\"0.09\", expect_size=\"39183360\"] \n  30 [size=\"85742933\", alpha=\"0.12\", expect_size=\"25722880\"] \n  31 [size=\"30805333\", alpha=\"0.03\", expect_size=\"9241600\"] \n  32 [size=\"40697173\", alpha=\"0.05\", expect_size=\"12209152\"] \n  33 [size=\"120869547\", alpha=\"0.01\", expect_size=\"36260864\"] \n  34 [size=\"100676267\", alpha=\"0.17\", expect_size=\"30202880\"] \n  35 [size=\"154470400\", alpha=\"0.04\", expect_size=\"46341120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17973248\", alpha=\"0.08\", expect_size=\"8986624\"] \n  1 -> 25 [size =\"8986624\"]\n  1 -> 26 [size =\"8986624\"]\n  1 -> 29 [size =\"8986624\"]\n  1 -> 35 [size =\"8986624\"]\n  2 [size=\"102389760\", alpha=\"0.15\", expect_size=\"51194880\"] \n  2 -> 26 [size =\"51194880\"]\n  2 -> 29 [size =\"51194880\"]\n  2 -> 31 [size =\"51194880\"]\n  2 -> 32 [size =\"51194880\"]\n  2 -> 33 [size =\"51194880\"]\n  2 -> 35 [size =\"51194880\"]\n  3 [size=\"59854848\", alpha=\"0.08\", expect_size=\"29927424\"] \n  3 -> 25 [size =\"29927424\"]\n  3 -> 27 [size =\"29927424\"]\n  3 -> 29 [size =\"29927424\"]\n  3 -> 30 [size =\"29927424\"]\n  3 -> 32 [size =\"29927424\"]\n  3 -> 33 [size =\"29927424\"]\n  3 -> 34 [size =\"29927424\"]\n  3 -> 35 [size =\"29927424\"]\n  4 [size=\"98142208\", alpha=\"0.01\", expect_size=\"49071104\"] \n  4 -> 25 [size =\"49071104\"]\n  4 -> 27 [size =\"49071104\"]\n  4 -> 28 [size =\"49071104\"]\n  4 -> 30 [size =\"49071104\"]\n  4 -> 32 [size =\"49071104\"]\n  4 -> 33 [size =\"49071104\"]\n  4 -> 35 [size =\"49071104\"]\n  4 -> 35 [size =\"49071104\"]\n  5 [size=\"31956992\", alpha=\"0.18\", expect_size=\"15978496\"] \n  5 -> 25 [size =\"15978496\"]\n  5 -> 26 [size =\"15978496\"]\n  5 -> 27 [size =\"15978496\"]\n  5 -> 31 [size =\"15978496\"]\n  5 -> 32 [size =\"15978496\"]\n  5 -> 33 [size =\"15978496\"]\n  5 -> 35 [size =\"15978496\"]\n  6 [size=\"30226432\", alpha=\"0.10\", expect_size=\"15113216\"] \n  6 -> 27 [size =\"15113216\"]\n  6 -> 29 [size =\"15113216\"]\n  6 -> 31 [size =\"15113216\"]\n  6 -> 33 [size =\"15113216\"]\n  7 [size=\"44589056\", alpha=\"0.17\", expect_size=\"22294528\"] \n  7 -> 29 [size =\"22294528\"]\n  7 -> 30 [size =\"22294528\"]\n  7 -> 33 [size =\"22294528\"]\n  7 -> 33 [size =\"22294528\"]\n  7 -> 35 [size =\"22294528\"]\n  8 [size=\"62773248\", alpha=\"0.02\", expect_size=\"31386624\"] \n  8 -> 25 [size =\"31386624\"]\n  8 -> 26 [size =\"31386624\"]\n  8 -> 29 [size =\"31386624\"]\n  8 -> 30 [size =\"31386624\"]\n  8 -> 33 [size =\"31386624\"]\n  9 [size=\"95803392\", alpha=\"0.14\", expect_size=\"47901696\"] \n  9 -> 26 [size =\"47901696\"]\n  9 -> 27 [size =\"47901696\"]\n  9 -> 29 [size =\"47901696\"]\n  9 -> 31 [size =\"47901696\"]\n  9 -> 32 [size =\"47901696\"]\n  9 -> 33 [size =\"47901696\"]\n  10 [size=\"37826560\", alpha=\"0.06\", expect_size=\"18913280\"] \n  10 -> 25 [size =\"18913280\"]\n  10 -> 26 [size =\"18913280\"]\n  10 -> 32 [size =\"18913280\"]\n  11 [size=\"97261568\", alpha=\"0.20\", expect_size=\"48630784\"] \n  11 -> 26 [size =\"48630784\"]\n  11 -> 29 [size =\"48630784\"]\n  11 -> 32 [size =\"48630784\"]\n  11 -> 33 [size =\"48630784\"]\n  12 [size=\"40937472\", alpha=\"0.15\", expect_size=\"20468736\"] \n  12 -> 25 [size =\"20468736\"]\n  12 -> 26 [size =\"20468736\"]\n  12 -> 33 [size =\"20468736\"]\n  12 -> 34 [size =\"20468736\"]\n  13 [size=\"15912960\", alpha=\"0.17\", expect_size=\"7956480\"] \n  13 -> 25 [size =\"7956480\"]\n  13 -> 27 [size =\"7956480\"]\n  13 -> 29 [size =\"7956480\"]\n  13 -> 33 [size =\"7956480\"]\n  13 -> 35 [size =\"7956480\"]\n  14 [size=\"55439360\", alpha=\"0.09\", expect_size=\"27719680\"] \n  14 -> 25 [size =\"27719680\"]\n  14 -> 29 [size =\"27719680\"]\n  14 -> 29 [size =\"27719680\"]\n  14 -> 34 [size =\"27719680\"]\n  14 -> 35 [size =\"27719680\"]\n  15 [size=\"58324992\", alpha=\"0.12\", expect_size=\"29162496\"] \n  15 -> 25 [size =\"29162496\"]\n  15 -> 29 [size =\"29162496\"]\n  15 -> 31 [size =\"29162496\"]\n  15 -> 34 [size =\"29162496\"]\n  15 -> 35 [size =\"29162496\"]\n  16 [size=\"47798272\", alpha=\"0.04\", expect_size=\"23899136\"] \n  16 -> 25 [size =\"23899136\"]\n  16 -> 27 [size =\"23899136\"]\n  16 -> 30 [size =\"23899136\"]\n  16 -> 31 [size =\"23899136\"]\n  16 -> 35 [size =\"23899136\"]\n  17 [size=\"96995328\", alpha=\"0.16\", expect_size=\"48497664\"] \n  17 -> 25 [size =\"48497664\"]\n  17 -> 27 [size =\"48497664\"]\n  17 -> 28 [size =\"48497664\"]\n  17 -> 29 [size =\"48497664\"]\n  17 -> 30 [size =\"48497664\"]\n  17 -> 31 [size =\"48497664\"]\n  17 -> 33 [size =\"48497664\"]\n  17 -> 34 [size =\"48497664\"]\n  17 -> 35 [size =\"48497664\"]\n  18 [size=\"81537024\", alpha=\"0.02\", expect_size=\"40768512\"] \n  18 -> 25 [size =\"40768512\"]\n  18 -> 27 [size =\"40768512\"]\n  18 -> 28 [size =\"40768512\"]\n  18 -> 31 [size =\"40768512\"]\n  18 -> 33 [size =\"40768512\"]\n  18 -> 35 [size =\"40768512\"]\n  19 [size=\"91412480\", alpha=\"0.13\", expect_size=\"45706240\"] \n  19 -> 25 [size =\"45706240\"]\n  19 -> 28 [size =\"45706240\"]\n  19 -> 31 [size =\"45706240\"]\n  19 -> 32 [size =\"45706240\"]\n  19 -> 33 [size =\"45706240\"]\n  19 -> 35 [size =\"45706240\"]\n  20 [size=\"60944384\", alpha=\"0.16\", expect_size=\"30472192\"] \n  20 -> 25 [size =\"30472192\"]\n  20 -> 27 [size =\"30472192\"]\n  20 -> 28 [size =\"30472192\"]\n  20 -> 29 [size =\"30472192\"]\n  20 -> 32 [size =\"30472192\"]\n  20 -> 33 [size =\"30472192\"]\n  20 -> 35 [size =\"30472192\"]\n  21 [size=\"87322624\", alpha=\"0.01\", expect_size=\"43661312\"] \n  21 -> 25 [size =\"43661312\"]\n  21 -> 26 [size =\"43661312\"]\n  21 -> 29 [size =\"43661312\"]\n  21 -> 32 [size =\"43661312\"]\n  21 -> 33 [size =\"43661312\"]\n  21 -> 35 [size =\"43661312\"]\n  22 [size=\"85563392\", alpha=\"0.05\", expect_size=\"42781696\"] \n  22 -> 25 [size =\"42781696\"]\n  22 -> 26 [size =\"42781696\"]\n  22 -> 27 [size =\"42781696\"]\n  22 -> 29 [size =\"42781696\"]\n  22 -> 30 [size =\"42781696\"]\n  22 -> 33 [size =\"42781696\"]\n  22 -> 34 [size =\"42781696\"]\n  22 -> 35 [size =\"42781696\"]\n  23 [size=\"62892032\", alpha=\"0.20\", expect_size=\"31446016\"] \n  23 -> 25 [size =\"31446016\"]\n  23 -> 27 [size =\"31446016\"]\n  23 -> 29 [size =\"31446016\"]\n  23 -> 29 [size =\"31446016\"]\n  23 -> 33 [size =\"31446016\"]\n  23 -> 35 [size =\"31446016\"]\n  24 [size=\"48582656\", alpha=\"0.13\", expect_size=\"24291328\"] \n  24 -> 29 [size =\"24291328\"]\n  24 -> 31 [size =\"24291328\"]\n  24 -> 32 [size =\"24291328\"]\n  24 -> 33 [size =\"24291328\"]\n  25 [size=\"92018688\", alpha=\"0.11\", expect_size=\"46009344\"] \n  26 [size=\"52807680\", alpha=\"0.13\", expect_size=\"26403840\"] \n  27 [size=\"70719488\", alpha=\"0.02\", expect_size=\"35359744\"] \n  28 [size=\"50413568\", alpha=\"0.02\", expect_size=\"25206784\"] \n  29 [size=\"58779648\", alpha=\"0.01\", expect_size=\"29389824\"] \n  30 [size=\"26144768\", alpha=\"0.05\", expect_size=\"13072384\"] \n  31 [size=\"102674432\", alpha=\"0.07\", expect_size=\"51337216\"] \n  32 [size=\"12740608\", alpha=\"0.16\", expect_size=\"6370304\"] \n  33 [size=\"36988928\", alpha=\"0.07\", expect_size=\"18494464\"] \n  34 [size=\"36048896\", alpha=\"0.06\", expect_size=\"18024448\"] \n  35 [size=\"97576960\", alpha=\"0.16\", expect_size=\"48788480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112186880\", alpha=\"0.08\", expect_size=\"44874752\"] \n  1 -> 12 [size =\"44874752\"]\n  1 -> 15 [size =\"44874752\"]\n  1 -> 17 [size =\"44874752\"]\n  1 -> 19 [size =\"44874752\"]\n  1 -> 20 [size =\"44874752\"]\n  1 -> 23 [size =\"44874752\"]\n  1 -> 24 [size =\"44874752\"]\n  2 [size=\"130813440\", alpha=\"0.13\", expect_size=\"52325376\"] \n  2 -> 13 [size =\"52325376\"]\n  2 -> 14 [size =\"52325376\"]\n  2 -> 15 [size =\"52325376\"]\n  2 -> 16 [size =\"52325376\"]\n  2 -> 19 [size =\"52325376\"]\n  2 -> 22 [size =\"52325376\"]\n  2 -> 24 [size =\"52325376\"]\n  3 [size=\"102131200\", alpha=\"0.15\", expect_size=\"40852480\"] \n  3 -> 12 [size =\"40852480\"]\n  3 -> 23 [size =\"40852480\"]\n  4 [size=\"61529600\", alpha=\"0.14\", expect_size=\"24611840\"] \n  4 -> 12 [size =\"24611840\"]\n  4 -> 13 [size =\"24611840\"]\n  4 -> 15 [size =\"24611840\"]\n  4 -> 17 [size =\"24611840\"]\n  4 -> 19 [size =\"24611840\"]\n  4 -> 20 [size =\"24611840\"]\n  4 -> 23 [size =\"24611840\"]\n  5 [size=\"17648640\", alpha=\"0.15\", expect_size=\"7059456\"] \n  5 -> 13 [size =\"7059456\"]\n  5 -> 15 [size =\"7059456\"]\n  5 -> 17 [size =\"7059456\"]\n  5 -> 18 [size =\"7059456\"]\n  5 -> 19 [size =\"7059456\"]\n  5 -> 20 [size =\"7059456\"]\n  6 [size=\"70400000\", alpha=\"0.10\", expect_size=\"28160000\"] \n  6 -> 15 [size =\"28160000\"]\n  6 -> 20 [size =\"28160000\"]\n  7 [size=\"95219200\", alpha=\"0.16\", expect_size=\"38087680\"] \n  7 -> 12 [size =\"38087680\"]\n  7 -> 13 [size =\"38087680\"]\n  7 -> 19 [size =\"38087680\"]\n  7 -> 20 [size =\"38087680\"]\n  8 [size=\"43051520\", alpha=\"0.16\", expect_size=\"17220608\"] \n  8 -> 12 [size =\"17220608\"]\n  8 -> 14 [size =\"17220608\"]\n  8 -> 15 [size =\"17220608\"]\n  8 -> 19 [size =\"17220608\"]\n  9 [size=\"65640960\", alpha=\"0.08\", expect_size=\"26256384\"] \n  9 -> 12 [size =\"26256384\"]\n  9 -> 20 [size =\"26256384\"]\n  9 -> 24 [size =\"26256384\"]\n  10 [size=\"57341440\", alpha=\"0.07\", expect_size=\"22936576\"] \n  10 -> 13 [size =\"22936576\"]\n  10 -> 14 [size =\"22936576\"]\n  11 [size=\"19768320\", alpha=\"0.03\", expect_size=\"7907328\"] \n  11 -> 13 [size =\"7907328\"]\n  11 -> 19 [size =\"7907328\"]\n  11 -> 21 [size =\"7907328\"]\n  11 -> 24 [size =\"7907328\"]\n  12 [size=\"68334080\", alpha=\"0.19\", expect_size=\"27333632\"] \n  12 -> 26 [size =\"27333632\"]\n  12 -> 27 [size =\"27333632\"]\n  12 -> 28 [size =\"27333632\"]\n  12 -> 29 [size =\"27333632\"]\n  12 -> 31 [size =\"27333632\"]\n  12 -> 32 [size =\"27333632\"]\n  12 -> 34 [size =\"27333632\"]\n  12 -> 35 [size =\"27333632\"]\n  13 [size=\"24637440\", alpha=\"0.18\", expect_size=\"9854976\"] \n  13 -> 26 [size =\"9854976\"]\n  13 -> 28 [size =\"9854976\"]\n  13 -> 34 [size =\"9854976\"]\n  14 [size=\"112788480\", alpha=\"0.10\", expect_size=\"45115392\"] \n  14 -> 26 [size =\"45115392\"]\n  14 -> 27 [size =\"45115392\"]\n  14 -> 28 [size =\"45115392\"]\n  14 -> 29 [size =\"45115392\"]\n  14 -> 32 [size =\"45115392\"]\n  14 -> 33 [size =\"45115392\"]\n  15 [size=\"77908480\", alpha=\"0.05\", expect_size=\"31163392\"] \n  15 -> 26 [size =\"31163392\"]\n  15 -> 28 [size =\"31163392\"]\n  15 -> 32 [size =\"31163392\"]\n  16 [size=\"46080000\", alpha=\"0.02\", expect_size=\"18432000\"] \n  16 -> 25 [size =\"18432000\"]\n  16 -> 26 [size =\"18432000\"]\n  16 -> 27 [size =\"18432000\"]\n  16 -> 28 [size =\"18432000\"]\n  16 -> 31 [size =\"18432000\"]\n  16 -> 32 [size =\"18432000\"]\n  16 -> 34 [size =\"18432000\"]\n  17 [size=\"104732160\", alpha=\"0.17\", expect_size=\"41892864\"] \n  17 -> 27 [size =\"41892864\"]\n  17 -> 29 [size =\"41892864\"]\n  17 -> 30 [size =\"41892864\"]\n  17 -> 33 [size =\"41892864\"]\n  17 -> 34 [size =\"41892864\"]\n  18 [size=\"79472640\", alpha=\"0.18\", expect_size=\"31789056\"] \n  18 -> 26 [size =\"31789056\"]\n  18 -> 34 [size =\"31789056\"]\n  19 [size=\"57218560\", alpha=\"0.05\", expect_size=\"22887424\"] \n  19 -> 32 [size =\"22887424\"]\n  20 [size=\"104770560\", alpha=\"0.18\", expect_size=\"41908224\"] \n  20 -> 25 [size =\"41908224\"]\n  20 -> 26 [size =\"41908224\"]\n  20 -> 29 [size =\"41908224\"]\n  20 -> 34 [size =\"41908224\"]\n  21 [size=\"28879360\", alpha=\"0.08\", expect_size=\"11551744\"] \n  21 -> 25 [size =\"11551744\"]\n  21 -> 29 [size =\"11551744\"]\n  22 [size=\"43637760\", alpha=\"0.19\", expect_size=\"17455104\"] \n  22 -> 30 [size =\"17455104\"]\n  22 -> 35 [size =\"17455104\"]\n  23 [size=\"37368320\", alpha=\"0.04\", expect_size=\"14947328\"] \n  23 -> 25 [size =\"14947328\"]\n  23 -> 29 [size =\"14947328\"]\n  23 -> 32 [size =\"14947328\"]\n  24 [size=\"23326720\", alpha=\"0.17\", expect_size=\"9330688\"] \n  24 -> 29 [size =\"9330688\"]\n  24 -> 29 [size =\"9330688\"]\n  24 -> 32 [size =\"9330688\"]\n  24 -> 35 [size =\"9330688\"]\n  25 [size=\"83594240\", alpha=\"0.12\", expect_size=\"33437696\"] \n  26 [size=\"113996800\", alpha=\"0.16\", expect_size=\"45598720\"] \n  27 [size=\"125452800\", alpha=\"0.13\", expect_size=\"50181120\"] \n  28 [size=\"105687040\", alpha=\"0.16\", expect_size=\"42274816\"] \n  29 [size=\"92482560\", alpha=\"0.08\", expect_size=\"36993024\"] \n  30 [size=\"120944640\", alpha=\"0.08\", expect_size=\"48377856\"] \n  31 [size=\"110548480\", alpha=\"0.08\", expect_size=\"44219392\"] \n  32 [size=\"42408960\", alpha=\"0.18\", expect_size=\"16963584\"] \n  33 [size=\"34232320\", alpha=\"0.10\", expect_size=\"13692928\"] \n  34 [size=\"57080320\", alpha=\"0.18\", expect_size=\"22832128\"] \n  35 [size=\"41410560\", alpha=\"0.18\", expect_size=\"16564224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93317120\", alpha=\"0.07\", expect_size=\"27995136\"] \n  1 -> 9 [size =\"27995136\"]\n  1 -> 13 [size =\"27995136\"]\n  1 -> 13 [size =\"27995136\"]\n  1 -> 14 [size =\"27995136\"]\n  1 -> 15 [size =\"27995136\"]\n  1 -> 16 [size =\"27995136\"]\n  1 -> 18 [size =\"27995136\"]\n  1 -> 20 [size =\"27995136\"]\n  1 -> 21 [size =\"27995136\"]\n  2 [size=\"52442453\", alpha=\"0.15\", expect_size=\"15732736\"] \n  2 -> 9 [size =\"15732736\"]\n  2 -> 10 [size =\"15732736\"]\n  2 -> 11 [size =\"15732736\"]\n  2 -> 14 [size =\"15732736\"]\n  2 -> 16 [size =\"15732736\"]\n  2 -> 17 [size =\"15732736\"]\n  2 -> 18 [size =\"15732736\"]\n  2 -> 20 [size =\"15732736\"]\n  3 [size=\"163273387\", alpha=\"0.11\", expect_size=\"48982016\"] \n  3 -> 9 [size =\"48982016\"]\n  3 -> 10 [size =\"48982016\"]\n  3 -> 11 [size =\"48982016\"]\n  3 -> 14 [size =\"48982016\"]\n  3 -> 19 [size =\"48982016\"]\n  4 [size=\"130187947\", alpha=\"0.04\", expect_size=\"39056384\"] \n  4 -> 7 [size =\"39056384\"]\n  4 -> 8 [size =\"39056384\"]\n  4 -> 9 [size =\"39056384\"]\n  4 -> 10 [size =\"39056384\"]\n  4 -> 12 [size =\"39056384\"]\n  4 -> 13 [size =\"39056384\"]\n  4 -> 14 [size =\"39056384\"]\n  4 -> 15 [size =\"39056384\"]\n  4 -> 16 [size =\"39056384\"]\n  4 -> 17 [size =\"39056384\"]\n  4 -> 18 [size =\"39056384\"]\n  4 -> 20 [size =\"39056384\"]\n  4 -> 21 [size =\"39056384\"]\n  5 [size=\"90132480\", alpha=\"0.05\", expect_size=\"27039744\"] \n  5 -> 7 [size =\"27039744\"]\n  5 -> 9 [size =\"27039744\"]\n  5 -> 10 [size =\"27039744\"]\n  5 -> 13 [size =\"27039744\"]\n  5 -> 15 [size =\"27039744\"]\n  5 -> 16 [size =\"27039744\"]\n  5 -> 18 [size =\"27039744\"]\n  5 -> 19 [size =\"27039744\"]\n  5 -> 20 [size =\"27039744\"]\n  5 -> 21 [size =\"27039744\"]\n  6 [size=\"76793173\", alpha=\"0.03\", expect_size=\"23037952\"] \n  6 -> 10 [size =\"23037952\"]\n  6 -> 12 [size =\"23037952\"]\n  6 -> 13 [size =\"23037952\"]\n  6 -> 15 [size =\"23037952\"]\n  6 -> 15 [size =\"23037952\"]\n  6 -> 17 [size =\"23037952\"]\n  6 -> 19 [size =\"23037952\"]\n  6 -> 19 [size =\"23037952\"]\n  6 -> 21 [size =\"23037952\"]\n  7 [size=\"66314240\", alpha=\"0.01\", expect_size=\"19894272\"] \n  7 -> 22 [size =\"19894272\"]\n  7 -> 26 [size =\"19894272\"]\n  7 -> 30 [size =\"19894272\"]\n  7 -> 31 [size =\"19894272\"]\n  8 [size=\"130740907\", alpha=\"0.15\", expect_size=\"39222272\"] \n  8 -> 22 [size =\"39222272\"]\n  8 -> 26 [size =\"39222272\"]\n  8 -> 30 [size =\"39222272\"]\n  8 -> 31 [size =\"39222272\"]\n  8 -> 34 [size =\"39222272\"]\n  9 [size=\"71683413\", alpha=\"0.01\", expect_size=\"21505024\"] \n  9 -> 22 [size =\"21505024\"]\n  9 -> 26 [size =\"21505024\"]\n  9 -> 30 [size =\"21505024\"]\n  9 -> 31 [size =\"21505024\"]\n  9 -> 32 [size =\"21505024\"]\n  9 -> 35 [size =\"21505024\"]\n  10 [size=\"35840000\", alpha=\"0.16\", expect_size=\"10752000\"] \n  10 -> 26 [size =\"10752000\"]\n  10 -> 26 [size =\"10752000\"]\n  10 -> 28 [size =\"10752000\"]\n  10 -> 30 [size =\"10752000\"]\n  10 -> 31 [size =\"10752000\"]\n  11 [size=\"159836160\", alpha=\"0.09\", expect_size=\"47950848\"] \n  11 -> 24 [size =\"47950848\"]\n  11 -> 26 [size =\"47950848\"]\n  11 -> 30 [size =\"47950848\"]\n  11 -> 31 [size =\"47950848\"]\n  12 [size=\"58412373\", alpha=\"0.07\", expect_size=\"17523712\"] \n  12 -> 26 [size =\"17523712\"]\n  12 -> 31 [size =\"17523712\"]\n  12 -> 33 [size =\"17523712\"]\n  13 [size=\"17943893\", alpha=\"0.07\", expect_size=\"5383168\"] \n  13 -> 22 [size =\"5383168\"]\n  13 -> 25 [size =\"5383168\"]\n  13 -> 27 [size =\"5383168\"]\n  13 -> 31 [size =\"5383168\"]\n  13 -> 33 [size =\"5383168\"]\n  14 [size=\"108151467\", alpha=\"0.01\", expect_size=\"32445440\"] \n  14 -> 22 [size =\"32445440\"]\n  14 -> 23 [size =\"32445440\"]\n  14 -> 28 [size =\"32445440\"]\n  14 -> 29 [size =\"32445440\"]\n  14 -> 30 [size =\"32445440\"]\n  15 [size=\"138106880\", alpha=\"0.04\", expect_size=\"41432064\"] \n  15 -> 22 [size =\"41432064\"]\n  15 -> 26 [size =\"41432064\"]\n  15 -> 31 [size =\"41432064\"]\n  16 [size=\"22050133\", alpha=\"0.17\", expect_size=\"6615040\"] \n  16 -> 22 [size =\"6615040\"]\n  16 -> 33 [size =\"6615040\"]\n  16 -> 34 [size =\"6615040\"]\n  17 [size=\"45008213\", alpha=\"0.10\", expect_size=\"13502464\"] \n  17 -> 22 [size =\"13502464\"]\n  17 -> 23 [size =\"13502464\"]\n  17 -> 24 [size =\"13502464\"]\n  17 -> 28 [size =\"13502464\"]\n  17 -> 31 [size =\"13502464\"]\n  17 -> 33 [size =\"13502464\"]\n  17 -> 34 [size =\"13502464\"]\n  18 [size=\"50176000\", alpha=\"0.10\", expect_size=\"15052800\"] \n  18 -> 22 [size =\"15052800\"]\n  18 -> 30 [size =\"15052800\"]\n  18 -> 31 [size =\"15052800\"]\n  18 -> 34 [size =\"15052800\"]\n  19 [size=\"166021120\", alpha=\"0.11\", expect_size=\"49806336\"] \n  19 -> 26 [size =\"49806336\"]\n  19 -> 27 [size =\"49806336\"]\n  19 -> 30 [size =\"49806336\"]\n  20 [size=\"171912533\", alpha=\"0.13\", expect_size=\"51573760\"] \n  20 -> 22 [size =\"51573760\"]\n  20 -> 26 [size =\"51573760\"]\n  20 -> 27 [size =\"51573760\"]\n  20 -> 28 [size =\"51573760\"]\n  20 -> 30 [size =\"51573760\"]\n  21 [size=\"143356587\", alpha=\"0.04\", expect_size=\"43006976\"] \n  21 -> 22 [size =\"43006976\"]\n  21 -> 26 [size =\"43006976\"]\n  22 [size=\"57873067\", alpha=\"0.20\", expect_size=\"17361920\"] \n  23 [size=\"116101120\", alpha=\"0.14\", expect_size=\"34830336\"] \n  24 [size=\"167314773\", alpha=\"0.03\", expect_size=\"50194432\"] \n  25 [size=\"19776853\", alpha=\"0.01\", expect_size=\"5933056\"] \n  26 [size=\"47390720\", alpha=\"0.06\", expect_size=\"14217216\"] \n  27 [size=\"22705493\", alpha=\"0.18\", expect_size=\"6811648\"] \n  28 [size=\"99686400\", alpha=\"0.04\", expect_size=\"29905920\"] \n  29 [size=\"22671360\", alpha=\"0.16\", expect_size=\"6801408\"] \n  30 [size=\"110240427\", alpha=\"0.12\", expect_size=\"33072128\"] \n  31 [size=\"53466453\", alpha=\"0.05\", expect_size=\"16039936\"] \n  32 [size=\"85473280\", alpha=\"0.04\", expect_size=\"25641984\"] \n  33 [size=\"83947520\", alpha=\"0.02\", expect_size=\"25184256\"] \n  34 [size=\"37403307\", alpha=\"0.12\", expect_size=\"11220992\"] \n  35 [size=\"58548907\", alpha=\"0.18\", expect_size=\"17564672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13552640\", alpha=\"0.19\", expect_size=\"5421056\"] \n  1 -> 17 [size =\"5421056\"]\n  1 -> 21 [size =\"5421056\"]\n  2 [size=\"13184000\", alpha=\"0.02\", expect_size=\"5273600\"] \n  2 -> 17 [size =\"5273600\"]\n  2 -> 18 [size =\"5273600\"]\n  2 -> 21 [size =\"5273600\"]\n  3 [size=\"68605440\", alpha=\"0.10\", expect_size=\"27442176\"] \n  3 -> 18 [size =\"27442176\"]\n  3 -> 19 [size =\"27442176\"]\n  4 [size=\"111610880\", alpha=\"0.18\", expect_size=\"44644352\"] \n  4 -> 18 [size =\"44644352\"]\n  4 -> 19 [size =\"44644352\"]\n  5 [size=\"127628800\", alpha=\"0.15\", expect_size=\"51051520\"] \n  5 -> 17 [size =\"51051520\"]\n  5 -> 19 [size =\"51051520\"]\n  5 -> 20 [size =\"51051520\"]\n  6 [size=\"129167360\", alpha=\"0.08\", expect_size=\"51666944\"] \n  6 -> 17 [size =\"51666944\"]\n  6 -> 18 [size =\"51666944\"]\n  6 -> 19 [size =\"51666944\"]\n  6 -> 21 [size =\"51666944\"]\n  7 [size=\"18206720\", alpha=\"0.14\", expect_size=\"7282688\"] \n  7 -> 17 [size =\"7282688\"]\n  7 -> 18 [size =\"7282688\"]\n  7 -> 21 [size =\"7282688\"]\n  8 [size=\"127418880\", alpha=\"0.05\", expect_size=\"50967552\"] \n  8 -> 17 [size =\"50967552\"]\n  8 -> 18 [size =\"50967552\"]\n  8 -> 19 [size =\"50967552\"]\n  9 [size=\"97932800\", alpha=\"0.07\", expect_size=\"39173120\"] \n  9 -> 17 [size =\"39173120\"]\n  9 -> 21 [size =\"39173120\"]\n  10 [size=\"68495360\", alpha=\"0.15\", expect_size=\"27398144\"] \n  10 -> 17 [size =\"27398144\"]\n  10 -> 19 [size =\"27398144\"]\n  10 -> 21 [size =\"27398144\"]\n  11 [size=\"23674880\", alpha=\"0.11\", expect_size=\"9469952\"] \n  11 -> 17 [size =\"9469952\"]\n  11 -> 19 [size =\"9469952\"]\n  11 -> 22 [size =\"9469952\"]\n  12 [size=\"16814080\", alpha=\"0.18\", expect_size=\"6725632\"] \n  12 -> 16 [size =\"6725632\"]\n  12 -> 17 [size =\"6725632\"]\n  12 -> 18 [size =\"6725632\"]\n  12 -> 19 [size =\"6725632\"]\n  12 -> 21 [size =\"6725632\"]\n  13 [size=\"27863040\", alpha=\"0.16\", expect_size=\"11145216\"] \n  14 [size=\"88788480\", alpha=\"0.19\", expect_size=\"35515392\"] \n  14 -> 19 [size =\"35515392\"]\n  15 [size=\"74447360\", alpha=\"0.05\", expect_size=\"29778944\"] \n  15 -> 19 [size =\"29778944\"]\n  15 -> 21 [size =\"29778944\"]\n  16 [size=\"46243840\", alpha=\"0.11\", expect_size=\"18497536\"] \n  16 -> 23 [size =\"18497536\"]\n  16 -> 24 [size =\"18497536\"]\n  16 -> 26 [size =\"18497536\"]\n  16 -> 32 [size =\"18497536\"]\n  17 [size=\"95377920\", alpha=\"0.06\", expect_size=\"38151168\"] \n  17 -> 23 [size =\"38151168\"]\n  17 -> 31 [size =\"38151168\"]\n  18 [size=\"57287680\", alpha=\"0.09\", expect_size=\"22915072\"] \n  18 -> 31 [size =\"22915072\"]\n  19 [size=\"84866560\", alpha=\"0.13\", expect_size=\"33946624\"] \n  19 -> 24 [size =\"33946624\"]\n  19 -> 29 [size =\"33946624\"]\n  19 -> 31 [size =\"33946624\"]\n  20 [size=\"125844480\", alpha=\"0.18\", expect_size=\"50337792\"] \n  20 -> 26 [size =\"50337792\"]\n  20 -> 28 [size =\"50337792\"]\n  20 -> 30 [size =\"50337792\"]\n  21 [size=\"95344640\", alpha=\"0.03\", expect_size=\"38137856\"] \n  21 -> 25 [size =\"38137856\"]\n  21 -> 26 [size =\"38137856\"]\n  21 -> 27 [size =\"38137856\"]\n  21 -> 28 [size =\"38137856\"]\n  22 [size=\"40931840\", alpha=\"0.09\", expect_size=\"16372736\"] \n  22 -> 24 [size =\"16372736\"]\n  22 -> 25 [size =\"16372736\"]\n  22 -> 26 [size =\"16372736\"]\n  22 -> 27 [size =\"16372736\"]\n  22 -> 30 [size =\"16372736\"]\n  22 -> 32 [size =\"16372736\"]\n  23 [size=\"28298240\", alpha=\"0.04\", expect_size=\"11319296\"] \n  23 -> 33 [size =\"11319296\"]\n  24 [size=\"121571840\", alpha=\"0.15\", expect_size=\"48628736\"] \n  24 -> 33 [size =\"48628736\"]\n  24 -> 35 [size =\"48628736\"]\n  25 [size=\"117404160\", alpha=\"0.06\", expect_size=\"46961664\"] \n  25 -> 35 [size =\"46961664\"]\n  25 -> 35 [size =\"46961664\"]\n  26 [size=\"29565440\", alpha=\"0.17\", expect_size=\"11826176\"] \n  27 [size=\"93939200\", alpha=\"0.08\", expect_size=\"37575680\"] \n  27 -> 33 [size =\"37575680\"]\n  27 -> 34 [size =\"37575680\"]\n  27 -> 35 [size =\"37575680\"]\n  28 [size=\"13693440\", alpha=\"0.19\", expect_size=\"5477376\"] \n  28 -> 35 [size =\"5477376\"]\n  29 [size=\"69588480\", alpha=\"0.05\", expect_size=\"27835392\"] \n  29 -> 34 [size =\"27835392\"]\n  29 -> 35 [size =\"27835392\"]\n  30 [size=\"26606080\", alpha=\"0.19\", expect_size=\"10642432\"] \n  30 -> 34 [size =\"10642432\"]\n  30 -> 35 [size =\"10642432\"]\n  31 [size=\"15137280\", alpha=\"0.16\", expect_size=\"6054912\"] \n  31 -> 33 [size =\"6054912\"]\n  31 -> 34 [size =\"6054912\"]\n  32 [size=\"35627520\", alpha=\"0.13\", expect_size=\"14251008\"] \n  32 -> 34 [size =\"14251008\"]\n  33 [size=\"88156160\", alpha=\"0.12\", expect_size=\"35262464\"] \n  34 [size=\"110256640\", alpha=\"0.05\", expect_size=\"44102656\"] \n  35 [size=\"82470400\", alpha=\"0.07\", expect_size=\"32988160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74181120\", alpha=\"0.09\", expect_size=\"29672448\"] \n  1 -> 3 [size =\"29672448\"]\n  2 [size=\"80942080\", alpha=\"0.18\", expect_size=\"32376832\"] \n  2 -> 3 [size =\"32376832\"]\n  3 [size=\"47426560\", alpha=\"0.17\", expect_size=\"18970624\"] \n  3 -> 4 [size =\"18970624\"]\n  4 [size=\"98314240\", alpha=\"0.13\", expect_size=\"39325696\"] \n  4 -> 5 [size =\"39325696\"]\n  4 -> 6 [size =\"39325696\"]\n  5 [size=\"83169280\", alpha=\"0.16\", expect_size=\"33267712\"] \n  5 -> 7 [size =\"33267712\"]\n  6 [size=\"34844160\", alpha=\"0.01\", expect_size=\"13937664\"] \n  6 -> 7 [size =\"13937664\"]\n  6 -> 8 [size =\"13937664\"]\n  7 [size=\"33533440\", alpha=\"0.17\", expect_size=\"13413376\"] \n  7 -> 9 [size =\"13413376\"]\n  8 [size=\"26201600\", alpha=\"0.13\", expect_size=\"10480640\"] \n  8 -> 9 [size =\"10480640\"]\n  9 [size=\"65495040\", alpha=\"0.06\", expect_size=\"26198016\"] \n  9 -> 10 [size =\"26198016\"]\n  10 [size=\"101632000\", alpha=\"0.07\", expect_size=\"40652800\"] \n  10 -> 11 [size =\"40652800\"]\n  10 -> 12 [size =\"40652800\"]\n  11 [size=\"95424000\", alpha=\"0.10\", expect_size=\"38169600\"] \n  11 -> 13 [size =\"38169600\"]\n  12 [size=\"27688960\", alpha=\"0.12\", expect_size=\"11075584\"] \n  12 -> 13 [size =\"11075584\"]\n  13 [size=\"16120320\", alpha=\"0.14\", expect_size=\"6448128\"] \n  13 -> 14 [size =\"6448128\"]\n  14 [size=\"118594560\", alpha=\"0.05\", expect_size=\"47437824\"] \n  14 -> 15 [size =\"47437824\"]\n  14 -> 16 [size =\"47437824\"]\n  15 [size=\"74767360\", alpha=\"0.02\", expect_size=\"29906944\"] \n  15 -> 17 [size =\"29906944\"]\n  16 [size=\"50211840\", alpha=\"0.07\", expect_size=\"20084736\"] \n  16 -> 17 [size =\"20084736\"]\n  17 [size=\"56619520\", alpha=\"0.18\", expect_size=\"22647808\"] \n  17 -> 18 [size =\"22647808\"]\n  17 -> 19 [size =\"22647808\"]\n  18 [size=\"41635840\", alpha=\"0.11\", expect_size=\"16654336\"] \n  18 -> 20 [size =\"16654336\"]\n  18 -> 21 [size =\"16654336\"]\n  19 [size=\"120711680\", alpha=\"0.01\", expect_size=\"48284672\"] \n  19 -> 20 [size =\"48284672\"]\n  19 -> 21 [size =\"48284672\"]\n  20 [size=\"40204800\", alpha=\"0.09\", expect_size=\"16081920\"] \n  20 -> 22 [size =\"16081920\"]\n  21 [size=\"80619520\", alpha=\"0.08\", expect_size=\"32247808\"] \n  21 -> 22 [size =\"32247808\"]\n  22 [size=\"19205120\", alpha=\"0.18\", expect_size=\"7682048\"] \n  22 -> 23 [size =\"7682048\"]\n  22 -> 24 [size =\"7682048\"]\n  23 [size=\"90577920\", alpha=\"0.15\", expect_size=\"36231168\"] \n  23 -> 25 [size =\"36231168\"]\n  24 [size=\"53509120\", alpha=\"0.05\", expect_size=\"21403648\"] \n  24 -> 25 [size =\"21403648\"]\n  25 [size=\"84938240\", alpha=\"0.08\", expect_size=\"33975296\"] \n  25 -> 26 [size =\"33975296\"]\n  25 -> 27 [size =\"33975296\"]\n  26 [size=\"95162880\", alpha=\"0.14\", expect_size=\"38065152\"] \n  26 -> 28 [size =\"38065152\"]\n  26 -> 29 [size =\"38065152\"]\n  27 [size=\"21181440\", alpha=\"0.03\", expect_size=\"8472576\"] \n  27 -> 28 [size =\"8472576\"]\n  28 [size=\"125168640\", alpha=\"0.15\", expect_size=\"50067456\"] \n  28 -> 30 [size =\"50067456\"]\n  29 [size=\"71902720\", alpha=\"0.16\", expect_size=\"28761088\"] \n  29 -> 30 [size =\"28761088\"]\n  30 [size=\"76134400\", alpha=\"0.12\", expect_size=\"30453760\"] \n  30 -> 31 [size =\"30453760\"]\n  30 -> 32 [size =\"30453760\"]\n  31 [size=\"130355200\", alpha=\"0.01\", expect_size=\"52142080\"] \n  31 -> 33 [size =\"52142080\"]\n  32 [size=\"59712000\", alpha=\"0.14\", expect_size=\"23884800\"] \n  32 -> 33 [size =\"23884800\"]\n  33 [size=\"50001920\", alpha=\"0.06\", expect_size=\"20000768\"] \n  33 -> 34 [size =\"20000768\"]\n  33 -> 35 [size =\"20000768\"]\n  34 [size=\"17587200\", alpha=\"0.17\", expect_size=\"7034880\"] \n  35 [size=\"47674880\", alpha=\"0.18\", expect_size=\"19069952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67999744\", alpha=\"0.05\", expect_size=\"33999872\"] \n  1 -> 33 [size =\"33999872\"]\n  2 [size=\"75255808\", alpha=\"0.04\", expect_size=\"37627904\"] \n  2 -> 30 [size =\"37627904\"]\n  2 -> 34 [size =\"37627904\"]\n  3 [size=\"18325504\", alpha=\"0.10\", expect_size=\"9162752\"] \n  3 -> 33 [size =\"9162752\"]\n  3 -> 34 [size =\"9162752\"]\n  4 [size=\"62742528\", alpha=\"0.01\", expect_size=\"31371264\"] \n  4 -> 34 [size =\"31371264\"]\n  5 [size=\"71874560\", alpha=\"0.04\", expect_size=\"35937280\"] \n  5 -> 34 [size =\"35937280\"]\n  6 [size=\"91643904\", alpha=\"0.03\", expect_size=\"45821952\"] \n  6 -> 33 [size =\"45821952\"]\n  6 -> 34 [size =\"45821952\"]\n  7 [size=\"66584576\", alpha=\"0.17\", expect_size=\"33292288\"] \n  7 -> 32 [size =\"33292288\"]\n  8 [size=\"36556800\", alpha=\"0.18\", expect_size=\"18278400\"] \n  8 -> 33 [size =\"18278400\"]\n  8 -> 34 [size =\"18278400\"]\n  9 [size=\"11851776\", alpha=\"0.12\", expect_size=\"5925888\"] \n  9 -> 30 [size =\"5925888\"]\n  9 -> 35 [size =\"5925888\"]\n  10 [size=\"99467264\", alpha=\"0.06\", expect_size=\"49733632\"] \n  10 -> 29 [size =\"49733632\"]\n  10 -> 31 [size =\"49733632\"]\n  10 -> 33 [size =\"49733632\"]\n  10 -> 34 [size =\"49733632\"]\n  11 [size=\"77084672\", alpha=\"0.04\", expect_size=\"38542336\"] \n  11 -> 32 [size =\"38542336\"]\n  12 [size=\"100315136\", alpha=\"0.02\", expect_size=\"50157568\"] \n  12 -> 31 [size =\"50157568\"]\n  12 -> 33 [size =\"50157568\"]\n  12 -> 34 [size =\"50157568\"]\n  13 [size=\"23707648\", alpha=\"0.11\", expect_size=\"11853824\"] \n  13 -> 29 [size =\"11853824\"]\n  13 -> 30 [size =\"11853824\"]\n  13 -> 34 [size =\"11853824\"]\n  14 [size=\"72525824\", alpha=\"0.03\", expect_size=\"36262912\"] \n  14 -> 29 [size =\"36262912\"]\n  14 -> 30 [size =\"36262912\"]\n  15 [size=\"77512704\", alpha=\"0.18\", expect_size=\"38756352\"] \n  15 -> 34 [size =\"38756352\"]\n  16 [size=\"97339392\", alpha=\"0.09\", expect_size=\"48669696\"] \n  16 -> 29 [size =\"48669696\"]\n  16 -> 30 [size =\"48669696\"]\n  16 -> 31 [size =\"48669696\"]\n  16 -> 34 [size =\"48669696\"]\n  17 [size=\"16801792\", alpha=\"0.12\", expect_size=\"8400896\"] \n  17 -> 30 [size =\"8400896\"]\n  18 [size=\"99170304\", alpha=\"0.14\", expect_size=\"49585152\"] \n  18 -> 32 [size =\"49585152\"]\n  18 -> 33 [size =\"49585152\"]\n  19 [size=\"90497024\", alpha=\"0.05\", expect_size=\"45248512\"] \n  19 -> 31 [size =\"45248512\"]\n  19 -> 33 [size =\"45248512\"]\n  20 [size=\"54177792\", alpha=\"0.02\", expect_size=\"27088896\"] \n  20 -> 29 [size =\"27088896\"]\n  20 -> 31 [size =\"27088896\"]\n  20 -> 33 [size =\"27088896\"]\n  21 [size=\"82851840\", alpha=\"0.11\", expect_size=\"41425920\"] \n  21 -> 32 [size =\"41425920\"]\n  21 -> 33 [size =\"41425920\"]\n  21 -> 34 [size =\"41425920\"]\n  22 [size=\"102660096\", alpha=\"0.13\", expect_size=\"51330048\"] \n  22 -> 29 [size =\"51330048\"]\n  22 -> 30 [size =\"51330048\"]\n  22 -> 33 [size =\"51330048\"]\n  22 -> 34 [size =\"51330048\"]\n  23 [size=\"17946624\", alpha=\"0.18\", expect_size=\"8973312\"] \n  23 -> 31 [size =\"8973312\"]\n  23 -> 33 [size =\"8973312\"]\n  24 [size=\"69138432\", alpha=\"0.13\", expect_size=\"34569216\"] \n  24 -> 32 [size =\"34569216\"]\n  25 [size=\"85493760\", alpha=\"0.01\", expect_size=\"42746880\"] \n  25 -> 35 [size =\"42746880\"]\n  26 [size=\"76158976\", alpha=\"0.07\", expect_size=\"38079488\"] \n  26 -> 31 [size =\"38079488\"]\n  27 [size=\"24053760\", alpha=\"0.05\", expect_size=\"12026880\"] \n  27 -> 29 [size =\"12026880\"]\n  27 -> 33 [size =\"12026880\"]\n  28 [size=\"80373760\", alpha=\"0.08\", expect_size=\"40186880\"] \n  28 -> 33 [size =\"40186880\"]\n  28 -> 34 [size =\"40186880\"]\n  29 [size=\"53073920\", alpha=\"0.11\", expect_size=\"26536960\"] \n  30 [size=\"76521472\", alpha=\"0.13\", expect_size=\"38260736\"] \n  31 [size=\"84633600\", alpha=\"0.09\", expect_size=\"42316800\"] \n  32 [size=\"40550400\", alpha=\"0.05\", expect_size=\"20275200\"] \n  33 [size=\"103419904\", alpha=\"0.03\", expect_size=\"51709952\"] \n  34 [size=\"92336128\", alpha=\"0.14\", expect_size=\"46168064\"] \n  35 [size=\"59555840\", alpha=\"0.20\", expect_size=\"29777920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89483264\", alpha=\"0.01\", expect_size=\"44741632\"] \n  1 -> 3 [size =\"44741632\"]\n  2 [size=\"64335872\", alpha=\"0.09\", expect_size=\"32167936\"] \n  2 -> 3 [size =\"32167936\"]\n  3 [size=\"96921600\", alpha=\"0.10\", expect_size=\"48460800\"] \n  3 -> 4 [size =\"48460800\"]\n  3 -> 5 [size =\"48460800\"]\n  4 [size=\"50315264\", alpha=\"0.13\", expect_size=\"25157632\"] \n  4 -> 6 [size =\"25157632\"]\n  5 [size=\"48101376\", alpha=\"0.11\", expect_size=\"24050688\"] \n  5 -> 6 [size =\"24050688\"]\n  6 [size=\"35274752\", alpha=\"0.04\", expect_size=\"17637376\"] \n  6 -> 7 [size =\"17637376\"]\n  7 [size=\"58742784\", alpha=\"0.08\", expect_size=\"29371392\"] \n  7 -> 8 [size =\"29371392\"]\n  7 -> 9 [size =\"29371392\"]\n  8 [size=\"96180224\", alpha=\"0.12\", expect_size=\"48090112\"] \n  8 -> 10 [size =\"48090112\"]\n  9 [size=\"96329728\", alpha=\"0.20\", expect_size=\"48164864\"] \n  9 -> 10 [size =\"48164864\"]\n  10 [size=\"53078016\", alpha=\"0.16\", expect_size=\"26539008\"] \n  10 -> 11 [size =\"26539008\"]\n  10 -> 12 [size =\"26539008\"]\n  11 [size=\"36290560\", alpha=\"0.08\", expect_size=\"18145280\"] \n  11 -> 13 [size =\"18145280\"]\n  11 -> 14 [size =\"18145280\"]\n  12 [size=\"40419328\", alpha=\"0.09\", expect_size=\"20209664\"] \n  12 -> 13 [size =\"20209664\"]\n  12 -> 14 [size =\"20209664\"]\n  13 [size=\"83722240\", alpha=\"0.10\", expect_size=\"41861120\"] \n  13 -> 15 [size =\"41861120\"]\n  14 [size=\"37132288\", alpha=\"0.20\", expect_size=\"18566144\"] \n  14 -> 15 [size =\"18566144\"]\n  15 [size=\"99067904\", alpha=\"0.13\", expect_size=\"49533952\"] \n  15 -> 16 [size =\"49533952\"]\n  15 -> 17 [size =\"49533952\"]\n  16 [size=\"57870336\", alpha=\"0.14\", expect_size=\"28935168\"] \n  16 -> 18 [size =\"28935168\"]\n  17 [size=\"77576192\", alpha=\"0.07\", expect_size=\"38788096\"] \n  17 -> 18 [size =\"38788096\"]\n  18 [size=\"20779008\", alpha=\"0.03\", expect_size=\"10389504\"] \n  18 -> 19 [size =\"10389504\"]\n  18 -> 20 [size =\"10389504\"]\n  19 [size=\"79392768\", alpha=\"0.17\", expect_size=\"39696384\"] \n  19 -> 21 [size =\"39696384\"]\n  20 [size=\"77062144\", alpha=\"0.13\", expect_size=\"38531072\"] \n  20 -> 21 [size =\"38531072\"]\n  21 [size=\"58931200\", alpha=\"0.05\", expect_size=\"29465600\"] \n  21 -> 22 [size =\"29465600\"]\n  22 [size=\"95549440\", alpha=\"0.09\", expect_size=\"47774720\"] \n  22 -> 23 [size =\"47774720\"]\n  23 [size=\"44814336\", alpha=\"0.11\", expect_size=\"22407168\"] \n  23 -> 24 [size =\"22407168\"]\n  24 [size=\"94083072\", alpha=\"0.02\", expect_size=\"47041536\"] \n  24 -> 25 [size =\"47041536\"]\n  25 [size=\"92563456\", alpha=\"0.01\", expect_size=\"46281728\"] \n  25 -> 26 [size =\"46281728\"]\n  25 -> 27 [size =\"46281728\"]\n  26 [size=\"58243072\", alpha=\"0.04\", expect_size=\"29121536\"] \n  26 -> 28 [size =\"29121536\"]\n  27 [size=\"31328256\", alpha=\"0.19\", expect_size=\"15664128\"] \n  27 -> 28 [size =\"15664128\"]\n  28 [size=\"66533376\", alpha=\"0.11\", expect_size=\"33266688\"] \n  28 -> 29 [size =\"33266688\"]\n  28 -> 30 [size =\"33266688\"]\n  29 [size=\"78977024\", alpha=\"0.01\", expect_size=\"39488512\"] \n  29 -> 31 [size =\"39488512\"]\n  30 [size=\"63840256\", alpha=\"0.01\", expect_size=\"31920128\"] \n  30 -> 31 [size =\"31920128\"]\n  31 [size=\"28690432\", alpha=\"0.06\", expect_size=\"14345216\"] \n  31 -> 32 [size =\"14345216\"]\n  31 -> 33 [size =\"14345216\"]\n  32 [size=\"52527104\", alpha=\"0.17\", expect_size=\"26263552\"] \n  32 -> 34 [size =\"26263552\"]\n  32 -> 35 [size =\"26263552\"]\n  33 [size=\"94830592\", alpha=\"0.04\", expect_size=\"47415296\"] \n  33 -> 34 [size =\"47415296\"]\n  33 -> 35 [size =\"47415296\"]\n  34 [size=\"53291008\", alpha=\"0.16\", expect_size=\"26645504\"] \n  35 [size=\"62113792\", alpha=\"0.08\", expect_size=\"31056896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77268992\", alpha=\"0.12\", expect_size=\"38634496\"] \n  1 -> 35 [size =\"38634496\"]\n  2 [size=\"21764096\", alpha=\"0.05\", expect_size=\"10882048\"] \n  2 -> 35 [size =\"10882048\"]\n  3 [size=\"75030528\", alpha=\"0.11\", expect_size=\"37515264\"] \n  3 -> 30 [size =\"37515264\"]\n  3 -> 31 [size =\"37515264\"]\n  3 -> 35 [size =\"37515264\"]\n  4 [size=\"92160000\", alpha=\"0.03\", expect_size=\"46080000\"] \n  4 -> 30 [size =\"46080000\"]\n  4 -> 34 [size =\"46080000\"]\n  5 [size=\"21745664\", alpha=\"0.01\", expect_size=\"10872832\"] \n  5 -> 34 [size =\"10872832\"]\n  5 -> 35 [size =\"10872832\"]\n  6 [size=\"45533184\", alpha=\"0.19\", expect_size=\"22766592\"] \n  6 -> 30 [size =\"22766592\"]\n  6 -> 33 [size =\"22766592\"]\n  6 -> 34 [size =\"22766592\"]\n  6 -> 35 [size =\"22766592\"]\n  7 [size=\"31133696\", alpha=\"0.15\", expect_size=\"15566848\"] \n  7 -> 30 [size =\"15566848\"]\n  7 -> 31 [size =\"15566848\"]\n  7 -> 32 [size =\"15566848\"]\n  7 -> 35 [size =\"15566848\"]\n  8 [size=\"57133056\", alpha=\"0.07\", expect_size=\"28566528\"] \n  8 -> 30 [size =\"28566528\"]\n  8 -> 34 [size =\"28566528\"]\n  8 -> 35 [size =\"28566528\"]\n  8 -> 35 [size =\"28566528\"]\n  9 [size=\"48730112\", alpha=\"0.05\", expect_size=\"24365056\"] \n  9 -> 30 [size =\"24365056\"]\n  9 -> 34 [size =\"24365056\"]\n  10 [size=\"13924352\", alpha=\"0.03\", expect_size=\"6962176\"] \n  10 -> 30 [size =\"6962176\"]\n  10 -> 33 [size =\"6962176\"]\n  10 -> 35 [size =\"6962176\"]\n  11 [size=\"21725184\", alpha=\"0.14\", expect_size=\"10862592\"] \n  11 -> 31 [size =\"10862592\"]\n  11 -> 33 [size =\"10862592\"]\n  11 -> 34 [size =\"10862592\"]\n  12 [size=\"78981120\", alpha=\"0.16\", expect_size=\"39490560\"] \n  12 -> 31 [size =\"39490560\"]\n  12 -> 33 [size =\"39490560\"]\n  12 -> 35 [size =\"39490560\"]\n  13 [size=\"104411136\", alpha=\"0.08\", expect_size=\"52205568\"] \n  13 -> 33 [size =\"52205568\"]\n  13 -> 34 [size =\"52205568\"]\n  13 -> 35 [size =\"52205568\"]\n  14 [size=\"59660288\", alpha=\"0.07\", expect_size=\"29830144\"] \n  14 -> 33 [size =\"29830144\"]\n  14 -> 34 [size =\"29830144\"]\n  14 -> 35 [size =\"29830144\"]\n  15 [size=\"73256960\", alpha=\"0.09\", expect_size=\"36628480\"] \n  15 -> 33 [size =\"36628480\"]\n  15 -> 34 [size =\"36628480\"]\n  15 -> 35 [size =\"36628480\"]\n  16 [size=\"78802944\", alpha=\"0.08\", expect_size=\"39401472\"] \n  16 -> 30 [size =\"39401472\"]\n  16 -> 34 [size =\"39401472\"]\n  17 [size=\"74377216\", alpha=\"0.03\", expect_size=\"37188608\"] \n  17 -> 34 [size =\"37188608\"]\n  17 -> 34 [size =\"37188608\"]\n  18 [size=\"51552256\", alpha=\"0.14\", expect_size=\"25776128\"] \n  18 -> 34 [size =\"25776128\"]\n  19 [size=\"83890176\", alpha=\"0.12\", expect_size=\"41945088\"] \n  19 -> 34 [size =\"41945088\"]\n  19 -> 35 [size =\"41945088\"]\n  20 [size=\"15157248\", alpha=\"0.12\", expect_size=\"7578624\"] \n  20 -> 33 [size =\"7578624\"]\n  20 -> 34 [size =\"7578624\"]\n  20 -> 35 [size =\"7578624\"]\n  21 [size=\"31356928\", alpha=\"0.07\", expect_size=\"15678464\"] \n  21 -> 33 [size =\"15678464\"]\n  21 -> 34 [size =\"15678464\"]\n  21 -> 35 [size =\"15678464\"]\n  22 [size=\"98494464\", alpha=\"0.04\", expect_size=\"49247232\"] \n  22 -> 33 [size =\"49247232\"]\n  22 -> 34 [size =\"49247232\"]\n  23 [size=\"81328128\", alpha=\"0.15\", expect_size=\"40664064\"] \n  23 -> 33 [size =\"40664064\"]\n  23 -> 34 [size =\"40664064\"]\n  24 [size=\"26411008\", alpha=\"0.04\", expect_size=\"13205504\"] \n  24 -> 30 [size =\"13205504\"]\n  24 -> 33 [size =\"13205504\"]\n  24 -> 34 [size =\"13205504\"]\n  24 -> 35 [size =\"13205504\"]\n  25 [size=\"58519552\", alpha=\"0.14\", expect_size=\"29259776\"] \n  25 -> 33 [size =\"29259776\"]\n  25 -> 34 [size =\"29259776\"]\n  25 -> 34 [size =\"29259776\"]\n  26 [size=\"103219200\", alpha=\"0.12\", expect_size=\"51609600\"] \n  26 -> 31 [size =\"51609600\"]\n  26 -> 34 [size =\"51609600\"]\n  26 -> 35 [size =\"51609600\"]\n  27 [size=\"45699072\", alpha=\"0.15\", expect_size=\"22849536\"] \n  27 -> 34 [size =\"22849536\"]\n  27 -> 35 [size =\"22849536\"]\n  28 [size=\"57800704\", alpha=\"0.07\", expect_size=\"28900352\"] \n  28 -> 34 [size =\"28900352\"]\n  28 -> 35 [size =\"28900352\"]\n  29 [size=\"27385856\", alpha=\"0.07\", expect_size=\"13692928\"] \n  29 -> 33 [size =\"13692928\"]\n  29 -> 34 [size =\"13692928\"]\n  29 -> 35 [size =\"13692928\"]\n  30 [size=\"81932288\", alpha=\"0.09\", expect_size=\"40966144\"] \n  31 [size=\"45430784\", alpha=\"0.12\", expect_size=\"22715392\"] \n  32 [size=\"79038464\", alpha=\"0.10\", expect_size=\"39519232\"] \n  33 [size=\"99663872\", alpha=\"0.08\", expect_size=\"49831936\"] \n  34 [size=\"77481984\", alpha=\"0.16\", expect_size=\"38740992\"] \n  35 [size=\"94167040\", alpha=\"0.18\", expect_size=\"47083520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84280320\", alpha=\"0.03\", expect_size=\"33712128\"] \n  1 -> 2 [size =\"33712128\"]\n  2 [size=\"127831040\", alpha=\"0.08\", expect_size=\"51132416\"] \n  2 -> 3 [size =\"51132416\"]\n  3 [size=\"16488960\", alpha=\"0.13\", expect_size=\"6595584\"] \n  3 -> 4 [size =\"6595584\"]\n  4 [size=\"106273280\", alpha=\"0.05\", expect_size=\"42509312\"] \n  4 -> 5 [size =\"42509312\"]\n  5 [size=\"98954240\", alpha=\"0.11\", expect_size=\"39581696\"] \n  5 -> 6 [size =\"39581696\"]\n  6 [size=\"74864640\", alpha=\"0.18\", expect_size=\"29945856\"] \n  6 -> 7 [size =\"29945856\"]\n  7 [size=\"37877760\", alpha=\"0.19\", expect_size=\"15151104\"] \n  7 -> 8 [size =\"15151104\"]\n  8 [size=\"17630720\", alpha=\"0.06\", expect_size=\"7052288\"] \n  8 -> 9 [size =\"7052288\"]\n  9 [size=\"75330560\", alpha=\"0.12\", expect_size=\"30132224\"] \n  9 -> 10 [size =\"30132224\"]\n  10 [size=\"88583680\", alpha=\"0.15\", expect_size=\"35433472\"] \n  10 -> 11 [size =\"35433472\"]\n  11 [size=\"65003520\", alpha=\"0.09\", expect_size=\"26001408\"] \n  11 -> 12 [size =\"26001408\"]\n  12 [size=\"81318400\", alpha=\"0.09\", expect_size=\"32527360\"] \n  12 -> 13 [size =\"32527360\"]\n  13 [size=\"130769920\", alpha=\"0.03\", expect_size=\"52307968\"] \n  13 -> 14 [size =\"52307968\"]\n  14 [size=\"90426880\", alpha=\"0.10\", expect_size=\"36170752\"] \n  14 -> 15 [size =\"36170752\"]\n  15 [size=\"117301760\", alpha=\"0.05\", expect_size=\"46920704\"] \n  15 -> 16 [size =\"46920704\"]\n  16 [size=\"64442880\", alpha=\"0.18\", expect_size=\"25777152\"] \n  16 -> 17 [size =\"25777152\"]\n  17 [size=\"55411200\", alpha=\"0.17\", expect_size=\"22164480\"] \n  17 -> 18 [size =\"22164480\"]\n  18 [size=\"51023360\", alpha=\"0.12\", expect_size=\"20409344\"] \n  18 -> 19 [size =\"20409344\"]\n  19 [size=\"85370880\", alpha=\"0.02\", expect_size=\"34148352\"] \n  19 -> 20 [size =\"34148352\"]\n  20 [size=\"38558720\", alpha=\"0.04\", expect_size=\"15423488\"] \n  20 -> 21 [size =\"15423488\"]\n  21 [size=\"125516800\", alpha=\"0.18\", expect_size=\"50206720\"] \n  21 -> 22 [size =\"50206720\"]\n  22 [size=\"59819520\", alpha=\"0.11\", expect_size=\"23927808\"] \n  22 -> 23 [size =\"23927808\"]\n  23 [size=\"113689600\", alpha=\"0.05\", expect_size=\"45475840\"] \n  23 -> 24 [size =\"45475840\"]\n  24 [size=\"16325120\", alpha=\"0.15\", expect_size=\"6530048\"] \n  24 -> 25 [size =\"6530048\"]\n  25 [size=\"76843520\", alpha=\"0.19\", expect_size=\"30737408\"] \n  25 -> 26 [size =\"30737408\"]\n  26 [size=\"108979200\", alpha=\"0.14\", expect_size=\"43591680\"] \n  26 -> 27 [size =\"43591680\"]\n  27 [size=\"99566080\", alpha=\"0.13\", expect_size=\"39826432\"] \n  27 -> 28 [size =\"39826432\"]\n  28 [size=\"79964160\", alpha=\"0.13\", expect_size=\"31985664\"] \n  28 -> 29 [size =\"31985664\"]\n  29 [size=\"33561600\", alpha=\"0.04\", expect_size=\"13424640\"] \n  29 -> 30 [size =\"13424640\"]\n  30 [size=\"43466240\", alpha=\"0.07\", expect_size=\"17386496\"] \n  30 -> 31 [size =\"17386496\"]\n  31 [size=\"64893440\", alpha=\"0.19\", expect_size=\"25957376\"] \n  31 -> 32 [size =\"25957376\"]\n  32 [size=\"51048960\", alpha=\"0.02\", expect_size=\"20419584\"] \n  32 -> 33 [size =\"20419584\"]\n  33 [size=\"116661760\", alpha=\"0.06\", expect_size=\"46664704\"] \n  33 -> 34 [size =\"46664704\"]\n  34 [size=\"29181440\", alpha=\"0.02\", expect_size=\"11672576\"] \n  34 -> 35 [size =\"11672576\"]\n  35 [size=\"117706240\", alpha=\"0.17\", expect_size=\"47082496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52615168\", alpha=\"0.10\", expect_size=\"26307584\"] \n  1 -> 7 [size =\"26307584\"]\n  1 -> 9 [size =\"26307584\"]\n  2 [size=\"13942784\", alpha=\"0.02\", expect_size=\"6971392\"] \n  3 [size=\"103258112\", alpha=\"0.09\", expect_size=\"51629056\"] \n  3 -> 7 [size =\"51629056\"]\n  3 -> 8 [size =\"51629056\"]\n  3 -> 11 [size =\"51629056\"]\n  4 [size=\"29661184\", alpha=\"0.01\", expect_size=\"14830592\"] \n  4 -> 7 [size =\"14830592\"]\n  4 -> 8 [size =\"14830592\"]\n  5 [size=\"102117376\", alpha=\"0.10\", expect_size=\"51058688\"] \n  5 -> 7 [size =\"51058688\"]\n  5 -> 8 [size =\"51058688\"]\n  5 -> 10 [size =\"51058688\"]\n  5 -> 11 [size =\"51058688\"]\n  6 [size=\"103686144\", alpha=\"0.05\", expect_size=\"51843072\"] \n  6 -> 8 [size =\"51843072\"]\n  6 -> 11 [size =\"51843072\"]\n  7 [size=\"29929472\", alpha=\"0.16\", expect_size=\"14964736\"] \n  7 -> 12 [size =\"14964736\"]\n  7 -> 13 [size =\"14964736\"]\n  7 -> 14 [size =\"14964736\"]\n  7 -> 15 [size =\"14964736\"]\n  8 [size=\"13125632\", alpha=\"0.11\", expect_size=\"6562816\"] \n  8 -> 13 [size =\"6562816\"]\n  8 -> 14 [size =\"6562816\"]\n  9 [size=\"53141504\", alpha=\"0.18\", expect_size=\"26570752\"] \n  9 -> 12 [size =\"26570752\"]\n  9 -> 15 [size =\"26570752\"]\n  10 [size=\"54069248\", alpha=\"0.07\", expect_size=\"27034624\"] \n  10 -> 13 [size =\"27034624\"]\n  11 [size=\"45991936\", alpha=\"0.19\", expect_size=\"22995968\"] \n  11 -> 13 [size =\"22995968\"]\n  11 -> 14 [size =\"22995968\"]\n  11 -> 15 [size =\"22995968\"]\n  12 [size=\"95381504\", alpha=\"0.16\", expect_size=\"47690752\"] \n  12 -> 16 [size =\"47690752\"]\n  13 [size=\"104648704\", alpha=\"0.12\", expect_size=\"52324352\"] \n  13 -> 16 [size =\"52324352\"]\n  13 -> 17 [size =\"52324352\"]\n  13 -> 18 [size =\"52324352\"]\n  14 [size=\"52131840\", alpha=\"0.05\", expect_size=\"26065920\"] \n  14 -> 16 [size =\"26065920\"]\n  14 -> 17 [size =\"26065920\"]\n  14 -> 19 [size =\"26065920\"]\n  15 [size=\"54624256\", alpha=\"0.06\", expect_size=\"27312128\"] \n  15 -> 18 [size =\"27312128\"]\n  15 -> 19 [size =\"27312128\"]\n  15 -> 19 [size =\"27312128\"]\n  16 [size=\"101867520\", alpha=\"0.12\", expect_size=\"50933760\"] \n  16 -> 22 [size =\"50933760\"]\n  16 -> 23 [size =\"50933760\"]\n  17 [size=\"33024000\", alpha=\"0.15\", expect_size=\"16512000\"] \n  17 -> 20 [size =\"16512000\"]\n  17 -> 21 [size =\"16512000\"]\n  17 -> 22 [size =\"16512000\"]\n  18 [size=\"16332800\", alpha=\"0.15\", expect_size=\"8166400\"] \n  19 [size=\"69578752\", alpha=\"0.02\", expect_size=\"34789376\"] \n  19 -> 21 [size =\"34789376\"]\n  20 [size=\"61487104\", alpha=\"0.10\", expect_size=\"30743552\"] \n  20 -> 24 [size =\"30743552\"]\n  20 -> 26 [size =\"30743552\"]\n  21 [size=\"96622592\", alpha=\"0.07\", expect_size=\"48311296\"] \n  21 -> 24 [size =\"48311296\"]\n  22 [size=\"91531264\", alpha=\"0.04\", expect_size=\"45765632\"] \n  22 -> 25 [size =\"45765632\"]\n  22 -> 26 [size =\"45765632\"]\n  23 [size=\"73512960\", alpha=\"0.01\", expect_size=\"36756480\"] \n  23 -> 24 [size =\"36756480\"]\n  23 -> 26 [size =\"36756480\"]\n  24 [size=\"36542464\", alpha=\"0.02\", expect_size=\"18271232\"] \n  24 -> 27 [size =\"18271232\"]\n  24 -> 29 [size =\"18271232\"]\n  25 [size=\"57794560\", alpha=\"0.03\", expect_size=\"28897280\"] \n  25 -> 28 [size =\"28897280\"]\n  26 [size=\"87435264\", alpha=\"0.03\", expect_size=\"43717632\"] \n  26 -> 28 [size =\"43717632\"]\n  27 [size=\"49391616\", alpha=\"0.08\", expect_size=\"24695808\"] \n  27 -> 30 [size =\"24695808\"]\n  27 -> 31 [size =\"24695808\"]\n  28 [size=\"27271168\", alpha=\"0.13\", expect_size=\"13635584\"] \n  28 -> 30 [size =\"13635584\"]\n  28 -> 31 [size =\"13635584\"]\n  28 -> 33 [size =\"13635584\"]\n  29 [size=\"100173824\", alpha=\"0.07\", expect_size=\"50086912\"] \n  29 -> 30 [size =\"50086912\"]\n  29 -> 32 [size =\"50086912\"]\n  29 -> 33 [size =\"50086912\"]\n  30 [size=\"15718400\", alpha=\"0.10\", expect_size=\"7859200\"] \n  30 -> 34 [size =\"7859200\"]\n  30 -> 35 [size =\"7859200\"]\n  31 [size=\"62425088\", alpha=\"0.01\", expect_size=\"31212544\"] \n  31 -> 35 [size =\"31212544\"]\n  32 [size=\"93681664\", alpha=\"0.10\", expect_size=\"46840832\"] \n  33 [size=\"18573312\", alpha=\"0.19\", expect_size=\"9286656\"] \n  33 -> 35 [size =\"9286656\"]\n  34 [size=\"24248320\", alpha=\"0.16\", expect_size=\"12124160\"] \n  35 [size=\"35508224\", alpha=\"0.03\", expect_size=\"17754112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130269867\", alpha=\"0.13\", expect_size=\"39080960\"] \n  1 -> 2 [size =\"39080960\"]\n  2 [size=\"137236480\", alpha=\"0.15\", expect_size=\"41170944\"] \n  2 -> 3 [size =\"41170944\"]\n  3 [size=\"72471893\", alpha=\"0.02\", expect_size=\"21741568\"] \n  3 -> 4 [size =\"21741568\"]\n  4 [size=\"145049600\", alpha=\"0.10\", expect_size=\"43514880\"] \n  4 -> 5 [size =\"43514880\"]\n  5 [size=\"169659733\", alpha=\"0.11\", expect_size=\"50897920\"] \n  5 -> 6 [size =\"50897920\"]\n  6 [size=\"80616107\", alpha=\"0.13\", expect_size=\"24184832\"] \n  6 -> 7 [size =\"24184832\"]\n  7 [size=\"78533973\", alpha=\"0.12\", expect_size=\"23560192\"] \n  7 -> 8 [size =\"23560192\"]\n  8 [size=\"115114667\", alpha=\"0.14\", expect_size=\"34534400\"] \n  8 -> 9 [size =\"34534400\"]\n  9 [size=\"169171627\", alpha=\"0.09\", expect_size=\"50751488\"] \n  9 -> 10 [size =\"50751488\"]\n  10 [size=\"74352640\", alpha=\"0.04\", expect_size=\"22305792\"] \n  10 -> 11 [size =\"22305792\"]\n  11 [size=\"52548267\", alpha=\"0.19\", expect_size=\"15764480\"] \n  11 -> 12 [size =\"15764480\"]\n  12 [size=\"153009493\", alpha=\"0.04\", expect_size=\"45902848\"] \n  12 -> 13 [size =\"45902848\"]\n  13 [size=\"114042880\", alpha=\"0.06\", expect_size=\"34212864\"] \n  13 -> 14 [size =\"34212864\"]\n  14 [size=\"128023893\", alpha=\"0.09\", expect_size=\"38407168\"] \n  14 -> 15 [size =\"38407168\"]\n  15 [size=\"47517013\", alpha=\"0.12\", expect_size=\"14255104\"] \n  15 -> 16 [size =\"14255104\"]\n  16 [size=\"137833813\", alpha=\"0.18\", expect_size=\"41350144\"] \n  16 -> 17 [size =\"41350144\"]\n  17 [size=\"82691413\", alpha=\"0.19\", expect_size=\"24807424\"] \n  17 -> 18 [size =\"24807424\"]\n  18 [size=\"18384213\", alpha=\"0.03\", expect_size=\"5515264\"] \n  18 -> 19 [size =\"5515264\"]\n  19 [size=\"125644800\", alpha=\"0.06\", expect_size=\"37693440\"] \n  19 -> 20 [size =\"37693440\"]\n  20 [size=\"36676267\", alpha=\"0.19\", expect_size=\"11002880\"] \n  20 -> 21 [size =\"11002880\"]\n  21 [size=\"70355627\", alpha=\"0.07\", expect_size=\"21106688\"] \n  21 -> 22 [size =\"21106688\"]\n  22 [size=\"61399040\", alpha=\"0.09\", expect_size=\"18419712\"] \n  22 -> 23 [size =\"18419712\"]\n  23 [size=\"91965440\", alpha=\"0.19\", expect_size=\"27589632\"] \n  23 -> 24 [size =\"27589632\"]\n  24 [size=\"137427627\", alpha=\"0.05\", expect_size=\"41228288\"] \n  24 -> 25 [size =\"41228288\"]\n  25 [size=\"52578987\", alpha=\"0.10\", expect_size=\"15773696\"] \n  25 -> 26 [size =\"15773696\"]\n  26 [size=\"146691413\", alpha=\"0.03\", expect_size=\"44007424\"] \n  26 -> 27 [size =\"44007424\"]\n  27 [size=\"130990080\", alpha=\"0.04\", expect_size=\"39297024\"] \n  27 -> 28 [size =\"39297024\"]\n  28 [size=\"120941227\", alpha=\"0.18\", expect_size=\"36282368\"] \n  28 -> 29 [size =\"36282368\"]\n  29 [size=\"144762880\", alpha=\"0.11\", expect_size=\"43428864\"] \n  29 -> 30 [size =\"43428864\"]\n  30 [size=\"35386027\", alpha=\"0.11\", expect_size=\"10615808\"] \n  30 -> 31 [size =\"10615808\"]\n  31 [size=\"29102080\", alpha=\"0.15\", expect_size=\"8730624\"] \n  31 -> 32 [size =\"8730624\"]\n  32 [size=\"81414827\", alpha=\"0.17\", expect_size=\"24424448\"] \n  32 -> 33 [size =\"24424448\"]\n  33 [size=\"154804907\", alpha=\"0.11\", expect_size=\"46441472\"] \n  33 -> 34 [size =\"46441472\"]\n  34 [size=\"146978133\", alpha=\"0.19\", expect_size=\"44093440\"] \n  34 -> 35 [size =\"44093440\"]\n  35 [size=\"28224853\", alpha=\"0.11\", expect_size=\"8467456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22820864\", alpha=\"0.02\", expect_size=\"11410432\"] \n  1 -> 23 [size =\"11410432\"]\n  1 -> 24 [size =\"11410432\"]\n  1 -> 25 [size =\"11410432\"]\n  1 -> 27 [size =\"11410432\"]\n  2 [size=\"94318592\", alpha=\"0.03\", expect_size=\"47159296\"] \n  2 -> 25 [size =\"47159296\"]\n  2 -> 26 [size =\"47159296\"]\n  2 -> 30 [size =\"47159296\"]\n  2 -> 31 [size =\"47159296\"]\n  2 -> 32 [size =\"47159296\"]\n  2 -> 34 [size =\"47159296\"]\n  3 [size=\"22802432\", alpha=\"0.12\", expect_size=\"11401216\"] \n  3 -> 24 [size =\"11401216\"]\n  3 -> 25 [size =\"11401216\"]\n  3 -> 27 [size =\"11401216\"]\n  3 -> 31 [size =\"11401216\"]\n  3 -> 32 [size =\"11401216\"]\n  3 -> 33 [size =\"11401216\"]\n  3 -> 34 [size =\"11401216\"]\n  3 -> 35 [size =\"11401216\"]\n  4 [size=\"25944064\", alpha=\"0.01\", expect_size=\"12972032\"] \n  4 -> 24 [size =\"12972032\"]\n  4 -> 25 [size =\"12972032\"]\n  4 -> 29 [size =\"12972032\"]\n  4 -> 31 [size =\"12972032\"]\n  4 -> 32 [size =\"12972032\"]\n  4 -> 35 [size =\"12972032\"]\n  5 [size=\"62951424\", alpha=\"0.10\", expect_size=\"31475712\"] \n  5 -> 24 [size =\"31475712\"]\n  5 -> 25 [size =\"31475712\"]\n  5 -> 29 [size =\"31475712\"]\n  5 -> 32 [size =\"31475712\"]\n  5 -> 33 [size =\"31475712\"]\n  6 [size=\"56729600\", alpha=\"0.05\", expect_size=\"28364800\"] \n  6 -> 23 [size =\"28364800\"]\n  6 -> 26 [size =\"28364800\"]\n  6 -> 29 [size =\"28364800\"]\n  6 -> 32 [size =\"28364800\"]\n  6 -> 33 [size =\"28364800\"]\n  7 [size=\"86265856\", alpha=\"0.08\", expect_size=\"43132928\"] \n  7 -> 25 [size =\"43132928\"]\n  7 -> 26 [size =\"43132928\"]\n  7 -> 27 [size =\"43132928\"]\n  7 -> 29 [size =\"43132928\"]\n  7 -> 30 [size =\"43132928\"]\n  7 -> 31 [size =\"43132928\"]\n  7 -> 32 [size =\"43132928\"]\n  7 -> 33 [size =\"43132928\"]\n  8 [size=\"101976064\", alpha=\"0.04\", expect_size=\"50988032\"] \n  8 -> 24 [size =\"50988032\"]\n  8 -> 26 [size =\"50988032\"]\n  8 -> 27 [size =\"50988032\"]\n  8 -> 28 [size =\"50988032\"]\n  8 -> 29 [size =\"50988032\"]\n  8 -> 31 [size =\"50988032\"]\n  8 -> 32 [size =\"50988032\"]\n  8 -> 34 [size =\"50988032\"]\n  9 [size=\"66226176\", alpha=\"0.00\", expect_size=\"33113088\"] \n  9 -> 24 [size =\"33113088\"]\n  9 -> 27 [size =\"33113088\"]\n  9 -> 27 [size =\"33113088\"]\n  9 -> 29 [size =\"33113088\"]\n  9 -> 29 [size =\"33113088\"]\n  9 -> 31 [size =\"33113088\"]\n  9 -> 32 [size =\"33113088\"]\n  9 -> 34 [size =\"33113088\"]\n  9 -> 35 [size =\"33113088\"]\n  10 [size=\"15732736\", alpha=\"0.06\", expect_size=\"7866368\"] \n  10 -> 23 [size =\"7866368\"]\n  10 -> 25 [size =\"7866368\"]\n  10 -> 26 [size =\"7866368\"]\n  10 -> 27 [size =\"7866368\"]\n  10 -> 29 [size =\"7866368\"]\n  10 -> 30 [size =\"7866368\"]\n  10 -> 31 [size =\"7866368\"]\n  10 -> 33 [size =\"7866368\"]\n  10 -> 35 [size =\"7866368\"]\n  11 [size=\"52404224\", alpha=\"0.18\", expect_size=\"26202112\"] \n  11 -> 23 [size =\"26202112\"]\n  11 -> 24 [size =\"26202112\"]\n  11 -> 25 [size =\"26202112\"]\n  11 -> 26 [size =\"26202112\"]\n  11 -> 27 [size =\"26202112\"]\n  11 -> 29 [size =\"26202112\"]\n  11 -> 30 [size =\"26202112\"]\n  11 -> 31 [size =\"26202112\"]\n  11 -> 33 [size =\"26202112\"]\n  12 [size=\"60002304\", alpha=\"0.08\", expect_size=\"30001152\"] \n  12 -> 23 [size =\"30001152\"]\n  12 -> 25 [size =\"30001152\"]\n  12 -> 25 [size =\"30001152\"]\n  12 -> 26 [size =\"30001152\"]\n  12 -> 27 [size =\"30001152\"]\n  12 -> 30 [size =\"30001152\"]\n  12 -> 31 [size =\"30001152\"]\n  12 -> 32 [size =\"30001152\"]\n  12 -> 34 [size =\"30001152\"]\n  13 [size=\"72409088\", alpha=\"0.03\", expect_size=\"36204544\"] \n  13 -> 23 [size =\"36204544\"]\n  13 -> 24 [size =\"36204544\"]\n  13 -> 25 [size =\"36204544\"]\n  13 -> 26 [size =\"36204544\"]\n  13 -> 27 [size =\"36204544\"]\n  13 -> 30 [size =\"36204544\"]\n  13 -> 31 [size =\"36204544\"]\n  13 -> 32 [size =\"36204544\"]\n  13 -> 33 [size =\"36204544\"]\n  13 -> 34 [size =\"36204544\"]\n  13 -> 35 [size =\"36204544\"]\n  14 [size=\"35008512\", alpha=\"0.06\", expect_size=\"17504256\"] \n  14 -> 23 [size =\"17504256\"]\n  14 -> 25 [size =\"17504256\"]\n  14 -> 26 [size =\"17504256\"]\n  14 -> 27 [size =\"17504256\"]\n  14 -> 27 [size =\"17504256\"]\n  14 -> 29 [size =\"17504256\"]\n  14 -> 30 [size =\"17504256\"]\n  14 -> 31 [size =\"17504256\"]\n  14 -> 32 [size =\"17504256\"]\n  14 -> 33 [size =\"17504256\"]\n  14 -> 34 [size =\"17504256\"]\n  14 -> 35 [size =\"17504256\"]\n  15 [size=\"40749056\", alpha=\"0.02\", expect_size=\"20374528\"] \n  15 -> 25 [size =\"20374528\"]\n  15 -> 27 [size =\"20374528\"]\n  15 -> 29 [size =\"20374528\"]\n  15 -> 31 [size =\"20374528\"]\n  15 -> 35 [size =\"20374528\"]\n  16 [size=\"89325568\", alpha=\"0.12\", expect_size=\"44662784\"] \n  16 -> 23 [size =\"44662784\"]\n  16 -> 25 [size =\"44662784\"]\n  16 -> 27 [size =\"44662784\"]\n  16 -> 29 [size =\"44662784\"]\n  16 -> 30 [size =\"44662784\"]\n  16 -> 31 [size =\"44662784\"]\n  16 -> 34 [size =\"44662784\"]\n  16 -> 35 [size =\"44662784\"]\n  17 [size=\"18702336\", alpha=\"0.05\", expect_size=\"9351168\"] \n  17 -> 23 [size =\"9351168\"]\n  17 -> 25 [size =\"9351168\"]\n  17 -> 27 [size =\"9351168\"]\n  17 -> 29 [size =\"9351168\"]\n  17 -> 30 [size =\"9351168\"]\n  17 -> 31 [size =\"9351168\"]\n  17 -> 32 [size =\"9351168\"]\n  17 -> 33 [size =\"9351168\"]\n  17 -> 35 [size =\"9351168\"]\n  18 [size=\"55070720\", alpha=\"0.03\", expect_size=\"27535360\"] \n  18 -> 23 [size =\"27535360\"]\n  18 -> 25 [size =\"27535360\"]\n  18 -> 26 [size =\"27535360\"]\n  18 -> 27 [size =\"27535360\"]\n  18 -> 29 [size =\"27535360\"]\n  18 -> 30 [size =\"27535360\"]\n  18 -> 31 [size =\"27535360\"]\n  18 -> 32 [size =\"27535360\"]\n  18 -> 35 [size =\"27535360\"]\n  19 [size=\"72327168\", alpha=\"0.13\", expect_size=\"36163584\"] \n  19 -> 23 [size =\"36163584\"]\n  19 -> 24 [size =\"36163584\"]\n  19 -> 25 [size =\"36163584\"]\n  19 -> 26 [size =\"36163584\"]\n  19 -> 27 [size =\"36163584\"]\n  19 -> 30 [size =\"36163584\"]\n  19 -> 32 [size =\"36163584\"]\n  19 -> 35 [size =\"36163584\"]\n  19 -> 35 [size =\"36163584\"]\n  20 [size=\"74102784\", alpha=\"0.12\", expect_size=\"37051392\"] \n  20 -> 23 [size =\"37051392\"]\n  20 -> 26 [size =\"37051392\"]\n  20 -> 27 [size =\"37051392\"]\n  20 -> 29 [size =\"37051392\"]\n  20 -> 30 [size =\"37051392\"]\n  20 -> 30 [size =\"37051392\"]\n  20 -> 32 [size =\"37051392\"]\n  20 -> 33 [size =\"37051392\"]\n  20 -> 35 [size =\"37051392\"]\n  21 [size=\"101197824\", alpha=\"0.14\", expect_size=\"50598912\"] \n  21 -> 25 [size =\"50598912\"]\n  21 -> 33 [size =\"50598912\"]\n  21 -> 34 [size =\"50598912\"]\n  21 -> 35 [size =\"50598912\"]\n  22 [size=\"90740736\", alpha=\"0.14\", expect_size=\"45370368\"] \n  22 -> 23 [size =\"45370368\"]\n  22 -> 25 [size =\"45370368\"]\n  22 -> 30 [size =\"45370368\"]\n  22 -> 32 [size =\"45370368\"]\n  22 -> 33 [size =\"45370368\"]\n  22 -> 34 [size =\"45370368\"]\n  23 [size=\"32786432\", alpha=\"0.16\", expect_size=\"16393216\"] \n  24 [size=\"48410624\", alpha=\"0.02\", expect_size=\"24205312\"] \n  25 [size=\"76814336\", alpha=\"0.19\", expect_size=\"38407168\"] \n  26 [size=\"87668736\", alpha=\"0.06\", expect_size=\"43834368\"] \n  27 [size=\"48244736\", alpha=\"0.08\", expect_size=\"24122368\"] \n  28 [size=\"72759296\", alpha=\"0.11\", expect_size=\"36379648\"] \n  29 [size=\"87232512\", alpha=\"0.05\", expect_size=\"43616256\"] \n  30 [size=\"51992576\", alpha=\"0.20\", expect_size=\"25996288\"] \n  31 [size=\"14315520\", alpha=\"0.04\", expect_size=\"7157760\"] \n  32 [size=\"80906240\", alpha=\"0.18\", expect_size=\"40453120\"] \n  33 [size=\"52486144\", alpha=\"0.05\", expect_size=\"26243072\"] \n  34 [size=\"35741696\", alpha=\"0.18\", expect_size=\"17870848\"] \n  35 [size=\"46137344\", alpha=\"0.17\", expect_size=\"23068672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46487552\", alpha=\"0.14\", expect_size=\"23243776\"] \n  1 -> 2 [size =\"23243776\"]\n  2 [size=\"20883456\", alpha=\"0.03\", expect_size=\"10441728\"] \n  2 -> 3 [size =\"10441728\"]\n  3 [size=\"33273856\", alpha=\"0.12\", expect_size=\"16636928\"] \n  3 -> 4 [size =\"16636928\"]\n  4 [size=\"96958464\", alpha=\"0.07\", expect_size=\"48479232\"] \n  4 -> 5 [size =\"48479232\"]\n  5 [size=\"86626304\", alpha=\"0.14\", expect_size=\"43313152\"] \n  5 -> 6 [size =\"43313152\"]\n  6 [size=\"95164416\", alpha=\"0.00\", expect_size=\"47582208\"] \n  6 -> 7 [size =\"47582208\"]\n  7 [size=\"77154304\", alpha=\"0.18\", expect_size=\"38577152\"] \n  7 -> 8 [size =\"38577152\"]\n  8 [size=\"92557312\", alpha=\"0.15\", expect_size=\"46278656\"] \n  8 -> 9 [size =\"46278656\"]\n  9 [size=\"19877888\", alpha=\"0.00\", expect_size=\"9938944\"] \n  9 -> 10 [size =\"9938944\"]\n  10 [size=\"87814144\", alpha=\"0.20\", expect_size=\"43907072\"] \n  10 -> 11 [size =\"43907072\"]\n  11 [size=\"84799488\", alpha=\"0.06\", expect_size=\"42399744\"] \n  11 -> 12 [size =\"42399744\"]\n  12 [size=\"55896064\", alpha=\"0.17\", expect_size=\"27948032\"] \n  12 -> 13 [size =\"27948032\"]\n  13 [size=\"70135808\", alpha=\"0.08\", expect_size=\"35067904\"] \n  13 -> 14 [size =\"35067904\"]\n  14 [size=\"32260096\", alpha=\"0.20\", expect_size=\"16130048\"] \n  14 -> 15 [size =\"16130048\"]\n  15 [size=\"64659456\", alpha=\"0.03\", expect_size=\"32329728\"] \n  15 -> 16 [size =\"32329728\"]\n  16 [size=\"37347328\", alpha=\"0.04\", expect_size=\"18673664\"] \n  16 -> 17 [size =\"18673664\"]\n  17 [size=\"38533120\", alpha=\"0.01\", expect_size=\"19266560\"] \n  17 -> 18 [size =\"19266560\"]\n  18 [size=\"27621376\", alpha=\"0.18\", expect_size=\"13810688\"] \n  18 -> 19 [size =\"13810688\"]\n  19 [size=\"100380672\", alpha=\"0.19\", expect_size=\"50190336\"] \n  19 -> 20 [size =\"50190336\"]\n  20 [size=\"100724736\", alpha=\"0.09\", expect_size=\"50362368\"] \n  20 -> 21 [size =\"50362368\"]\n  21 [size=\"98555904\", alpha=\"0.06\", expect_size=\"49277952\"] \n  21 -> 22 [size =\"49277952\"]\n  22 [size=\"31174656\", alpha=\"0.06\", expect_size=\"15587328\"] \n  22 -> 23 [size =\"15587328\"]\n  23 [size=\"16375808\", alpha=\"0.10\", expect_size=\"8187904\"] \n  23 -> 24 [size =\"8187904\"]\n  24 [size=\"53743616\", alpha=\"0.13\", expect_size=\"26871808\"] \n  24 -> 25 [size =\"26871808\"]\n  25 [size=\"53510144\", alpha=\"0.12\", expect_size=\"26755072\"] \n  25 -> 26 [size =\"26755072\"]\n  26 [size=\"65693696\", alpha=\"0.08\", expect_size=\"32846848\"] \n  26 -> 27 [size =\"32846848\"]\n  27 [size=\"86663168\", alpha=\"0.19\", expect_size=\"43331584\"] \n  27 -> 28 [size =\"43331584\"]\n  28 [size=\"90777600\", alpha=\"0.08\", expect_size=\"45388800\"] \n  28 -> 29 [size =\"45388800\"]\n  29 [size=\"80883712\", alpha=\"0.18\", expect_size=\"40441856\"] \n  29 -> 30 [size =\"40441856\"]\n  30 [size=\"76541952\", alpha=\"0.05\", expect_size=\"38270976\"] \n  30 -> 31 [size =\"38270976\"]\n  31 [size=\"23678976\", alpha=\"0.07\", expect_size=\"11839488\"] \n  31 -> 32 [size =\"11839488\"]\n  32 [size=\"52670464\", alpha=\"0.19\", expect_size=\"26335232\"] \n  32 -> 33 [size =\"26335232\"]\n  33 [size=\"79540224\", alpha=\"0.04\", expect_size=\"39770112\"] \n  33 -> 34 [size =\"39770112\"]\n  34 [size=\"32706560\", alpha=\"0.13\", expect_size=\"16353280\"] \n  34 -> 35 [size =\"16353280\"]\n  35 [size=\"93014016\", alpha=\"0.14\", expect_size=\"46507008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155927893\", alpha=\"0.15\", expect_size=\"46778368\"] \n  1 -> 12 [size =\"46778368\"]\n  1 -> 13 [size =\"46778368\"]\n  1 -> 14 [size =\"46778368\"]\n  1 -> 17 [size =\"46778368\"]\n  1 -> 18 [size =\"46778368\"]\n  1 -> 23 [size =\"46778368\"]\n  2 [size=\"86367573\", alpha=\"0.07\", expect_size=\"25910272\"] \n  2 -> 12 [size =\"25910272\"]\n  2 -> 14 [size =\"25910272\"]\n  2 -> 20 [size =\"25910272\"]\n  2 -> 23 [size =\"25910272\"]\n  3 [size=\"114213547\", alpha=\"0.16\", expect_size=\"34264064\"] \n  3 -> 14 [size =\"34264064\"]\n  3 -> 21 [size =\"34264064\"]\n  3 -> 22 [size =\"34264064\"]\n  4 [size=\"54719147\", alpha=\"0.10\", expect_size=\"16415744\"] \n  4 -> 12 [size =\"16415744\"]\n  4 -> 14 [size =\"16415744\"]\n  4 -> 16 [size =\"16415744\"]\n  4 -> 18 [size =\"16415744\"]\n  4 -> 19 [size =\"16415744\"]\n  4 -> 21 [size =\"16415744\"]\n  4 -> 22 [size =\"16415744\"]\n  5 [size=\"40744960\", alpha=\"0.11\", expect_size=\"12223488\"] \n  5 -> 12 [size =\"12223488\"]\n  5 -> 19 [size =\"12223488\"]\n  5 -> 22 [size =\"12223488\"]\n  6 [size=\"54418773\", alpha=\"0.02\", expect_size=\"16325632\"] \n  6 -> 12 [size =\"16325632\"]\n  6 -> 13 [size =\"16325632\"]\n  6 -> 15 [size =\"16325632\"]\n  6 -> 18 [size =\"16325632\"]\n  6 -> 19 [size =\"16325632\"]\n  6 -> 21 [size =\"16325632\"]\n  6 -> 22 [size =\"16325632\"]\n  7 [size=\"157207893\", alpha=\"0.19\", expect_size=\"47162368\"] \n  7 -> 13 [size =\"47162368\"]\n  7 -> 13 [size =\"47162368\"]\n  7 -> 17 [size =\"47162368\"]\n  7 -> 19 [size =\"47162368\"]\n  7 -> 21 [size =\"47162368\"]\n  7 -> 22 [size =\"47162368\"]\n  8 [size=\"144100693\", alpha=\"0.19\", expect_size=\"43230208\"] \n  8 -> 13 [size =\"43230208\"]\n  8 -> 15 [size =\"43230208\"]\n  8 -> 19 [size =\"43230208\"]\n  8 -> 20 [size =\"43230208\"]\n  8 -> 23 [size =\"43230208\"]\n  9 [size=\"134993920\", alpha=\"0.06\", expect_size=\"40498176\"] \n  9 -> 12 [size =\"40498176\"]\n  9 -> 13 [size =\"40498176\"]\n  9 -> 14 [size =\"40498176\"]\n  9 -> 19 [size =\"40498176\"]\n  9 -> 21 [size =\"40498176\"]\n  10 [size=\"163577173\", alpha=\"0.17\", expect_size=\"49073152\"] \n  10 -> 12 [size =\"49073152\"]\n  10 -> 13 [size =\"49073152\"]\n  10 -> 14 [size =\"49073152\"]\n  10 -> 19 [size =\"49073152\"]\n  10 -> 21 [size =\"49073152\"]\n  11 [size=\"138362880\", alpha=\"0.13\", expect_size=\"41508864\"] \n  11 -> 14 [size =\"41508864\"]\n  11 -> 15 [size =\"41508864\"]\n  11 -> 17 [size =\"41508864\"]\n  11 -> 18 [size =\"41508864\"]\n  11 -> 21 [size =\"41508864\"]\n  12 [size=\"102157653\", alpha=\"0.19\", expect_size=\"30647296\"] \n  12 -> 25 [size =\"30647296\"]\n  12 -> 30 [size =\"30647296\"]\n  12 -> 34 [size =\"30647296\"]\n  13 [size=\"157276160\", alpha=\"0.12\", expect_size=\"47182848\"] \n  13 -> 26 [size =\"47182848\"]\n  13 -> 28 [size =\"47182848\"]\n  14 [size=\"127245653\", alpha=\"0.18\", expect_size=\"38173696\"] \n  14 -> 25 [size =\"38173696\"]\n  14 -> 27 [size =\"38173696\"]\n  15 [size=\"51708587\", alpha=\"0.12\", expect_size=\"15512576\"] \n  15 -> 28 [size =\"15512576\"]\n  16 [size=\"137287680\", alpha=\"0.00\", expect_size=\"41186304\"] \n  16 -> 25 [size =\"41186304\"]\n  17 [size=\"151289173\", alpha=\"0.04\", expect_size=\"45386752\"] \n  17 -> 24 [size =\"45386752\"]\n  17 -> 25 [size =\"45386752\"]\n  17 -> 32 [size =\"45386752\"]\n  18 [size=\"143424853\", alpha=\"0.06\", expect_size=\"43027456\"] \n  18 -> 24 [size =\"43027456\"]\n  18 -> 25 [size =\"43027456\"]\n  18 -> 27 [size =\"43027456\"]\n  18 -> 29 [size =\"43027456\"]\n  18 -> 31 [size =\"43027456\"]\n  18 -> 34 [size =\"43027456\"]\n  19 [size=\"131642027\", alpha=\"0.04\", expect_size=\"39492608\"] \n  19 -> 24 [size =\"39492608\"]\n  19 -> 27 [size =\"39492608\"]\n  19 -> 30 [size =\"39492608\"]\n  19 -> 31 [size =\"39492608\"]\n  19 -> 33 [size =\"39492608\"]\n  19 -> 34 [size =\"39492608\"]\n  20 [size=\"22415360\", alpha=\"0.05\", expect_size=\"6724608\"] \n  20 -> 24 [size =\"6724608\"]\n  20 -> 27 [size =\"6724608\"]\n  20 -> 30 [size =\"6724608\"]\n  20 -> 34 [size =\"6724608\"]\n  21 [size=\"155385173\", alpha=\"0.04\", expect_size=\"46615552\"] \n  21 -> 24 [size =\"46615552\"]\n  21 -> 27 [size =\"46615552\"]\n  21 -> 28 [size =\"46615552\"]\n  21 -> 30 [size =\"46615552\"]\n  21 -> 34 [size =\"46615552\"]\n  22 [size=\"102021120\", alpha=\"0.12\", expect_size=\"30606336\"] \n  22 -> 24 [size =\"30606336\"]\n  22 -> 25 [size =\"30606336\"]\n  22 -> 27 [size =\"30606336\"]\n  22 -> 34 [size =\"30606336\"]\n  22 -> 34 [size =\"30606336\"]\n  22 -> 35 [size =\"30606336\"]\n  23 [size=\"97413120\", alpha=\"0.13\", expect_size=\"29223936\"] \n  23 -> 24 [size =\"29223936\"]\n  23 -> 25 [size =\"29223936\"]\n  23 -> 26 [size =\"29223936\"]\n  23 -> 27 [size =\"29223936\"]\n  23 -> 30 [size =\"29223936\"]\n  23 -> 33 [size =\"29223936\"]\n  24 [size=\"36106240\", alpha=\"0.18\", expect_size=\"10831872\"] \n  25 [size=\"173837653\", alpha=\"0.06\", expect_size=\"52151296\"] \n  26 [size=\"113080320\", alpha=\"0.18\", expect_size=\"33924096\"] \n  27 [size=\"114479787\", alpha=\"0.09\", expect_size=\"34343936\"] \n  28 [size=\"146056533\", alpha=\"0.15\", expect_size=\"43816960\"] \n  29 [size=\"35160747\", alpha=\"0.17\", expect_size=\"10548224\"] \n  30 [size=\"62924800\", alpha=\"0.17\", expect_size=\"18877440\"] \n  31 [size=\"103509333\", alpha=\"0.12\", expect_size=\"31052800\"] \n  32 [size=\"138079573\", alpha=\"0.19\", expect_size=\"41423872\"] \n  33 [size=\"78243840\", alpha=\"0.03\", expect_size=\"23473152\"] \n  34 [size=\"20742827\", alpha=\"0.01\", expect_size=\"6222848\"] \n  35 [size=\"160105813\", alpha=\"0.03\", expect_size=\"48031744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73121280\", alpha=\"0.04\", expect_size=\"29248512\"] \n  1 -> 2 [size =\"29248512\"]\n  2 [size=\"120924160\", alpha=\"0.10\", expect_size=\"48369664\"] \n  2 -> 3 [size =\"48369664\"]\n  3 [size=\"22412800\", alpha=\"0.11\", expect_size=\"8965120\"] \n  3 -> 4 [size =\"8965120\"]\n  4 [size=\"66872320\", alpha=\"0.02\", expect_size=\"26748928\"] \n  4 -> 5 [size =\"26748928\"]\n  5 [size=\"79971840\", alpha=\"0.15\", expect_size=\"31988736\"] \n  5 -> 6 [size =\"31988736\"]\n  6 [size=\"48225280\", alpha=\"0.05\", expect_size=\"19290112\"] \n  6 -> 7 [size =\"19290112\"]\n  7 [size=\"120458240\", alpha=\"0.11\", expect_size=\"48183296\"] \n  7 -> 8 [size =\"48183296\"]\n  8 [size=\"69844480\", alpha=\"0.04\", expect_size=\"27937792\"] \n  8 -> 9 [size =\"27937792\"]\n  9 [size=\"21347840\", alpha=\"0.18\", expect_size=\"8539136\"] \n  9 -> 10 [size =\"8539136\"]\n  10 [size=\"81559040\", alpha=\"0.11\", expect_size=\"32623616\"] \n  10 -> 11 [size =\"32623616\"]\n  11 [size=\"26908160\", alpha=\"0.08\", expect_size=\"10763264\"] \n  11 -> 12 [size =\"10763264\"]\n  12 [size=\"50949120\", alpha=\"0.04\", expect_size=\"20379648\"] \n  12 -> 13 [size =\"20379648\"]\n  13 [size=\"109521920\", alpha=\"0.04\", expect_size=\"43808768\"] \n  13 -> 14 [size =\"43808768\"]\n  14 [size=\"55956480\", alpha=\"0.13\", expect_size=\"22382592\"] \n  14 -> 15 [size =\"22382592\"]\n  15 [size=\"70699520\", alpha=\"0.04\", expect_size=\"28279808\"] \n  15 -> 16 [size =\"28279808\"]\n  16 [size=\"42434560\", alpha=\"0.10\", expect_size=\"16973824\"] \n  16 -> 17 [size =\"16973824\"]\n  17 [size=\"74752000\", alpha=\"0.00\", expect_size=\"29900800\"] \n  17 -> 18 [size =\"29900800\"]\n  18 [size=\"22604800\", alpha=\"0.08\", expect_size=\"9041920\"] \n  18 -> 19 [size =\"9041920\"]\n  19 [size=\"48468480\", alpha=\"0.04\", expect_size=\"19387392\"] \n  19 -> 20 [size =\"19387392\"]\n  20 [size=\"37532160\", alpha=\"0.17\", expect_size=\"15012864\"] \n  20 -> 21 [size =\"15012864\"]\n  21 [size=\"101808640\", alpha=\"0.20\", expect_size=\"40723456\"] \n  21 -> 22 [size =\"40723456\"]\n  22 [size=\"30922240\", alpha=\"0.01\", expect_size=\"12368896\"] \n  22 -> 23 [size =\"12368896\"]\n  23 [size=\"56967680\", alpha=\"0.04\", expect_size=\"22787072\"] \n  23 -> 24 [size =\"22787072\"]\n  24 [size=\"78484480\", alpha=\"0.16\", expect_size=\"31393792\"] \n  24 -> 25 [size =\"31393792\"]\n  25 [size=\"37806080\", alpha=\"0.19\", expect_size=\"15122432\"] \n  25 -> 26 [size =\"15122432\"]\n  26 [size=\"62592000\", alpha=\"0.08\", expect_size=\"25036800\"] \n  26 -> 27 [size =\"25036800\"]\n  27 [size=\"122757120\", alpha=\"0.15\", expect_size=\"49102848\"] \n  27 -> 28 [size =\"49102848\"]\n  28 [size=\"124564480\", alpha=\"0.12\", expect_size=\"49825792\"] \n  28 -> 29 [size =\"49825792\"]\n  29 [size=\"51517440\", alpha=\"0.11\", expect_size=\"20606976\"] \n  29 -> 30 [size =\"20606976\"]\n  30 [size=\"74851840\", alpha=\"0.01\", expect_size=\"29940736\"] \n  30 -> 31 [size =\"29940736\"]\n  31 [size=\"55503360\", alpha=\"0.13\", expect_size=\"22201344\"] \n  31 -> 32 [size =\"22201344\"]\n  32 [size=\"53480960\", alpha=\"0.12\", expect_size=\"21392384\"] \n  32 -> 33 [size =\"21392384\"]\n  33 [size=\"58641920\", alpha=\"0.07\", expect_size=\"23456768\"] \n  33 -> 34 [size =\"23456768\"]\n  34 [size=\"80291840\", alpha=\"0.10\", expect_size=\"32116736\"] \n  34 -> 35 [size =\"32116736\"]\n  35 [size=\"54231040\", alpha=\"0.02\", expect_size=\"21692416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26036224\", alpha=\"0.13\", expect_size=\"13018112\"] \n  1 -> 18 [size =\"13018112\"]\n  1 -> 19 [size =\"13018112\"]\n  1 -> 20 [size =\"13018112\"]\n  1 -> 23 [size =\"13018112\"]\n  2 [size=\"47007744\", alpha=\"0.02\", expect_size=\"23503872\"] \n  2 -> 16 [size =\"23503872\"]\n  2 -> 17 [size =\"23503872\"]\n  2 -> 18 [size =\"23503872\"]\n  2 -> 19 [size =\"23503872\"]\n  2 -> 20 [size =\"23503872\"]\n  2 -> 21 [size =\"23503872\"]\n  3 [size=\"53860352\", alpha=\"0.09\", expect_size=\"26930176\"] \n  3 -> 16 [size =\"26930176\"]\n  3 -> 17 [size =\"26930176\"]\n  3 -> 19 [size =\"26930176\"]\n  3 -> 20 [size =\"26930176\"]\n  3 -> 21 [size =\"26930176\"]\n  3 -> 23 [size =\"26930176\"]\n  3 -> 24 [size =\"26930176\"]\n  4 [size=\"43429888\", alpha=\"0.10\", expect_size=\"21714944\"] \n  4 -> 16 [size =\"21714944\"]\n  4 -> 18 [size =\"21714944\"]\n  4 -> 21 [size =\"21714944\"]\n  4 -> 22 [size =\"21714944\"]\n  4 -> 23 [size =\"21714944\"]\n  4 -> 23 [size =\"21714944\"]\n  5 [size=\"57198592\", alpha=\"0.12\", expect_size=\"28599296\"] \n  5 -> 15 [size =\"28599296\"]\n  5 -> 16 [size =\"28599296\"]\n  5 -> 20 [size =\"28599296\"]\n  5 -> 21 [size =\"28599296\"]\n  5 -> 22 [size =\"28599296\"]\n  5 -> 24 [size =\"28599296\"]\n  6 [size=\"59383808\", alpha=\"0.18\", expect_size=\"29691904\"] \n  6 -> 14 [size =\"29691904\"]\n  6 -> 15 [size =\"29691904\"]\n  6 -> 16 [size =\"29691904\"]\n  6 -> 18 [size =\"29691904\"]\n  6 -> 19 [size =\"29691904\"]\n  6 -> 22 [size =\"29691904\"]\n  6 -> 23 [size =\"29691904\"]\n  6 -> 24 [size =\"29691904\"]\n  7 [size=\"68798464\", alpha=\"0.19\", expect_size=\"34399232\"] \n  7 -> 13 [size =\"34399232\"]\n  7 -> 15 [size =\"34399232\"]\n  7 -> 16 [size =\"34399232\"]\n  7 -> 19 [size =\"34399232\"]\n  7 -> 21 [size =\"34399232\"]\n  7 -> 22 [size =\"34399232\"]\n  7 -> 24 [size =\"34399232\"]\n  7 -> 24 [size =\"34399232\"]\n  8 [size=\"80193536\", alpha=\"0.06\", expect_size=\"40096768\"] \n  8 -> 15 [size =\"40096768\"]\n  8 -> 15 [size =\"40096768\"]\n  8 -> 16 [size =\"40096768\"]\n  8 -> 17 [size =\"40096768\"]\n  8 -> 19 [size =\"40096768\"]\n  8 -> 22 [size =\"40096768\"]\n  8 -> 23 [size =\"40096768\"]\n  8 -> 24 [size =\"40096768\"]\n  9 [size=\"62148608\", alpha=\"0.02\", expect_size=\"31074304\"] \n  9 -> 16 [size =\"31074304\"]\n  9 -> 20 [size =\"31074304\"]\n  9 -> 21 [size =\"31074304\"]\n  9 -> 22 [size =\"31074304\"]\n  9 -> 23 [size =\"31074304\"]\n  9 -> 24 [size =\"31074304\"]\n  10 [size=\"96823296\", alpha=\"0.16\", expect_size=\"48411648\"] \n  10 -> 16 [size =\"48411648\"]\n  10 -> 18 [size =\"48411648\"]\n  10 -> 21 [size =\"48411648\"]\n  11 [size=\"54775808\", alpha=\"0.07\", expect_size=\"27387904\"] \n  11 -> 15 [size =\"27387904\"]\n  11 -> 19 [size =\"27387904\"]\n  11 -> 23 [size =\"27387904\"]\n  11 -> 24 [size =\"27387904\"]\n  12 [size=\"22509568\", alpha=\"0.17\", expect_size=\"11254784\"] \n  12 -> 13 [size =\"11254784\"]\n  12 -> 16 [size =\"11254784\"]\n  12 -> 17 [size =\"11254784\"]\n  12 -> 18 [size =\"11254784\"]\n  12 -> 20 [size =\"11254784\"]\n  12 -> 21 [size =\"11254784\"]\n  12 -> 22 [size =\"11254784\"]\n  12 -> 23 [size =\"11254784\"]\n  12 -> 24 [size =\"11254784\"]\n  13 [size=\"29906944\", alpha=\"0.00\", expect_size=\"14953472\"] \n  13 -> 25 [size =\"14953472\"]\n  13 -> 27 [size =\"14953472\"]\n  13 -> 30 [size =\"14953472\"]\n  13 -> 31 [size =\"14953472\"]\n  13 -> 34 [size =\"14953472\"]\n  14 [size=\"73680896\", alpha=\"0.20\", expect_size=\"36840448\"] \n  14 -> 27 [size =\"36840448\"]\n  14 -> 30 [size =\"36840448\"]\n  14 -> 32 [size =\"36840448\"]\n  14 -> 33 [size =\"36840448\"]\n  15 [size=\"25997312\", alpha=\"0.09\", expect_size=\"12998656\"] \n  15 -> 29 [size =\"12998656\"]\n  15 -> 31 [size =\"12998656\"]\n  15 -> 33 [size =\"12998656\"]\n  16 [size=\"83695616\", alpha=\"0.10\", expect_size=\"41847808\"] \n  16 -> 25 [size =\"41847808\"]\n  16 -> 26 [size =\"41847808\"]\n  16 -> 29 [size =\"41847808\"]\n  16 -> 30 [size =\"41847808\"]\n  16 -> 32 [size =\"41847808\"]\n  16 -> 33 [size =\"41847808\"]\n  16 -> 34 [size =\"41847808\"]\n  17 [size=\"73375744\", alpha=\"0.01\", expect_size=\"36687872\"] \n  17 -> 25 [size =\"36687872\"]\n  17 -> 27 [size =\"36687872\"]\n  17 -> 29 [size =\"36687872\"]\n  17 -> 30 [size =\"36687872\"]\n  17 -> 31 [size =\"36687872\"]\n  17 -> 32 [size =\"36687872\"]\n  17 -> 33 [size =\"36687872\"]\n  17 -> 34 [size =\"36687872\"]\n  18 [size=\"68562944\", alpha=\"0.11\", expect_size=\"34281472\"] \n  18 -> 25 [size =\"34281472\"]\n  18 -> 27 [size =\"34281472\"]\n  18 -> 33 [size =\"34281472\"]\n  18 -> 34 [size =\"34281472\"]\n  19 [size=\"95119360\", alpha=\"0.07\", expect_size=\"47559680\"] \n  19 -> 25 [size =\"47559680\"]\n  19 -> 26 [size =\"47559680\"]\n  19 -> 27 [size =\"47559680\"]\n  19 -> 31 [size =\"47559680\"]\n  19 -> 33 [size =\"47559680\"]\n  19 -> 34 [size =\"47559680\"]\n  20 [size=\"102799360\", alpha=\"0.15\", expect_size=\"51399680\"] \n  20 -> 25 [size =\"51399680\"]\n  20 -> 26 [size =\"51399680\"]\n  20 -> 27 [size =\"51399680\"]\n  20 -> 29 [size =\"51399680\"]\n  20 -> 30 [size =\"51399680\"]\n  20 -> 31 [size =\"51399680\"]\n  20 -> 33 [size =\"51399680\"]\n  20 -> 34 [size =\"51399680\"]\n  20 -> 35 [size =\"51399680\"]\n  21 [size=\"81788928\", alpha=\"0.06\", expect_size=\"40894464\"] \n  21 -> 25 [size =\"40894464\"]\n  21 -> 26 [size =\"40894464\"]\n  21 -> 27 [size =\"40894464\"]\n  21 -> 30 [size =\"40894464\"]\n  21 -> 31 [size =\"40894464\"]\n  21 -> 33 [size =\"40894464\"]\n  22 [size=\"18874368\", alpha=\"0.05\", expect_size=\"9437184\"] \n  22 -> 26 [size =\"9437184\"]\n  22 -> 26 [size =\"9437184\"]\n  22 -> 27 [size =\"9437184\"]\n  22 -> 30 [size =\"9437184\"]\n  22 -> 31 [size =\"9437184\"]\n  22 -> 33 [size =\"9437184\"]\n  22 -> 34 [size =\"9437184\"]\n  23 [size=\"97085440\", alpha=\"0.14\", expect_size=\"48542720\"] \n  23 -> 26 [size =\"48542720\"]\n  23 -> 27 [size =\"48542720\"]\n  23 -> 27 [size =\"48542720\"]\n  23 -> 30 [size =\"48542720\"]\n  23 -> 31 [size =\"48542720\"]\n  23 -> 32 [size =\"48542720\"]\n  23 -> 33 [size =\"48542720\"]\n  24 [size=\"98269184\", alpha=\"0.09\", expect_size=\"49134592\"] \n  24 -> 25 [size =\"49134592\"]\n  24 -> 26 [size =\"49134592\"]\n  24 -> 27 [size =\"49134592\"]\n  24 -> 28 [size =\"49134592\"]\n  24 -> 31 [size =\"49134592\"]\n  24 -> 33 [size =\"49134592\"]\n  25 [size=\"97574912\", alpha=\"0.14\", expect_size=\"48787456\"] \n  26 [size=\"47198208\", alpha=\"0.10\", expect_size=\"23599104\"] \n  27 [size=\"96225280\", alpha=\"0.18\", expect_size=\"48112640\"] \n  28 [size=\"99581952\", alpha=\"0.01\", expect_size=\"49790976\"] \n  29 [size=\"58281984\", alpha=\"0.14\", expect_size=\"29140992\"] \n  30 [size=\"89657344\", alpha=\"0.06\", expect_size=\"44828672\"] \n  31 [size=\"65062912\", alpha=\"0.08\", expect_size=\"32531456\"] \n  32 [size=\"94423040\", alpha=\"0.12\", expect_size=\"47211520\"] \n  33 [size=\"25513984\", alpha=\"0.20\", expect_size=\"12756992\"] \n  34 [size=\"90456064\", alpha=\"0.01\", expect_size=\"45228032\"] \n  35 [size=\"39079936\", alpha=\"0.06\", expect_size=\"19539968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60554240\", alpha=\"0.14\", expect_size=\"24221696\"] \n  1 -> 2 [size =\"24221696\"]\n  1 -> 3 [size =\"24221696\"]\n  2 [size=\"126673920\", alpha=\"0.18\", expect_size=\"50669568\"] \n  3 [size=\"122652160\", alpha=\"0.12\", expect_size=\"49060864\"] \n  3 -> 4 [size =\"49060864\"]\n  3 -> 5 [size =\"49060864\"]\n  4 [size=\"45864960\", alpha=\"0.05\", expect_size=\"18345984\"] \n  4 -> 6 [size =\"18345984\"]\n  5 [size=\"22228480\", alpha=\"0.07\", expect_size=\"8891392\"] \n  5 -> 6 [size =\"8891392\"]\n  5 -> 7 [size =\"8891392\"]\n  6 [size=\"93322240\", alpha=\"0.11\", expect_size=\"37328896\"] \n  6 -> 8 [size =\"37328896\"]\n  7 [size=\"48660480\", alpha=\"0.16\", expect_size=\"19464192\"] \n  7 -> 9 [size =\"19464192\"]\n  8 [size=\"65492480\", alpha=\"0.16\", expect_size=\"26196992\"] \n  9 [size=\"54105600\", alpha=\"0.18\", expect_size=\"21642240\"] \n  9 -> 10 [size =\"21642240\"]\n  10 [size=\"41328640\", alpha=\"0.09\", expect_size=\"16531456\"] \n  10 -> 11 [size =\"16531456\"]\n  10 -> 12 [size =\"16531456\"]\n  11 [size=\"66204160\", alpha=\"0.02\", expect_size=\"26481664\"] \n  11 -> 13 [size =\"26481664\"]\n  11 -> 14 [size =\"26481664\"]\n  12 [size=\"28352000\", alpha=\"0.05\", expect_size=\"11340800\"] \n  12 -> 13 [size =\"11340800\"]\n  12 -> 14 [size =\"11340800\"]\n  13 [size=\"18414080\", alpha=\"0.09\", expect_size=\"7365632\"] \n  13 -> 15 [size =\"7365632\"]\n  14 [size=\"91476480\", alpha=\"0.03\", expect_size=\"36590592\"] \n  15 [size=\"123691520\", alpha=\"0.15\", expect_size=\"49476608\"] \n  15 -> 16 [size =\"49476608\"]\n  15 -> 17 [size =\"49476608\"]\n  16 [size=\"48839680\", alpha=\"0.19\", expect_size=\"19535872\"] \n  16 -> 18 [size =\"19535872\"]\n  17 [size=\"113233920\", alpha=\"0.16\", expect_size=\"45293568\"] \n  17 -> 19 [size =\"45293568\"]\n  18 [size=\"92313600\", alpha=\"0.05\", expect_size=\"36925440\"] \n  18 -> 20 [size =\"36925440\"]\n  19 [size=\"67235840\", alpha=\"0.00\", expect_size=\"26894336\"] \n  19 -> 20 [size =\"26894336\"]\n  20 [size=\"56788480\", alpha=\"0.03\", expect_size=\"22715392\"] \n  20 -> 21 [size =\"22715392\"]\n  21 [size=\"107233280\", alpha=\"0.14\", expect_size=\"42893312\"] \n  21 -> 22 [size =\"42893312\"]\n  21 -> 23 [size =\"42893312\"]\n  22 [size=\"118528000\", alpha=\"0.04\", expect_size=\"47411200\"] \n  22 -> 24 [size =\"47411200\"]\n  23 [size=\"32291840\", alpha=\"0.12\", expect_size=\"12916736\"] \n  23 -> 25 [size =\"12916736\"]\n  24 [size=\"84764160\", alpha=\"0.06\", expect_size=\"33905664\"] \n  24 -> 27 [size =\"33905664\"]\n  25 [size=\"100843520\", alpha=\"0.02\", expect_size=\"40337408\"] \n  25 -> 26 [size =\"40337408\"]\n  26 [size=\"70673920\", alpha=\"0.11\", expect_size=\"28269568\"] \n  26 -> 28 [size =\"28269568\"]\n  27 [size=\"62261760\", alpha=\"0.06\", expect_size=\"24904704\"] \n  27 -> 28 [size =\"24904704\"]\n  28 [size=\"39306240\", alpha=\"0.10\", expect_size=\"15722496\"] \n  28 -> 29 [size =\"15722496\"]\n  29 [size=\"69204480\", alpha=\"0.01\", expect_size=\"27681792\"] \n  29 -> 30 [size =\"27681792\"]\n  29 -> 31 [size =\"27681792\"]\n  30 [size=\"72035840\", alpha=\"0.17\", expect_size=\"28814336\"] \n  30 -> 32 [size =\"28814336\"]\n  31 [size=\"90304000\", alpha=\"0.02\", expect_size=\"36121600\"] \n  32 [size=\"53491200\", alpha=\"0.09\", expect_size=\"21396480\"] \n  32 -> 33 [size =\"21396480\"]\n  32 -> 34 [size =\"21396480\"]\n  33 [size=\"75171840\", alpha=\"0.18\", expect_size=\"30068736\"] \n  33 -> 35 [size =\"30068736\"]\n  34 [size=\"28953600\", alpha=\"0.19\", expect_size=\"11581440\"] \n  34 -> 35 [size =\"11581440\"]\n  35 [size=\"65566720\", alpha=\"0.20\", expect_size=\"26226688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103731200\", alpha=\"0.12\", expect_size=\"41492480\"] \n  1 -> 21 [size =\"41492480\"]\n  1 -> 24 [size =\"41492480\"]\n  1 -> 26 [size =\"41492480\"]\n  1 -> 28 [size =\"41492480\"]\n  1 -> 29 [size =\"41492480\"]\n  1 -> 30 [size =\"41492480\"]\n  2 [size=\"71290880\", alpha=\"0.01\", expect_size=\"28516352\"] \n  2 -> 22 [size =\"28516352\"]\n  2 -> 24 [size =\"28516352\"]\n  2 -> 26 [size =\"28516352\"]\n  2 -> 27 [size =\"28516352\"]\n  2 -> 32 [size =\"28516352\"]\n  2 -> 33 [size =\"28516352\"]\n  2 -> 35 [size =\"28516352\"]\n  3 [size=\"128422400\", alpha=\"0.03\", expect_size=\"51368960\"] \n  3 -> 26 [size =\"51368960\"]\n  3 -> 27 [size =\"51368960\"]\n  3 -> 29 [size =\"51368960\"]\n  3 -> 30 [size =\"51368960\"]\n  3 -> 32 [size =\"51368960\"]\n  3 -> 35 [size =\"51368960\"]\n  4 [size=\"51832320\", alpha=\"0.20\", expect_size=\"20732928\"] \n  4 -> 21 [size =\"20732928\"]\n  4 -> 24 [size =\"20732928\"]\n  4 -> 26 [size =\"20732928\"]\n  4 -> 27 [size =\"20732928\"]\n  4 -> 35 [size =\"20732928\"]\n  4 -> 35 [size =\"20732928\"]\n  5 [size=\"52103680\", alpha=\"0.05\", expect_size=\"20841472\"] \n  5 -> 24 [size =\"20841472\"]\n  5 -> 27 [size =\"20841472\"]\n  5 -> 29 [size =\"20841472\"]\n  5 -> 30 [size =\"20841472\"]\n  5 -> 31 [size =\"20841472\"]\n  5 -> 32 [size =\"20841472\"]\n  5 -> 34 [size =\"20841472\"]\n  5 -> 35 [size =\"20841472\"]\n  6 [size=\"102274560\", alpha=\"0.19\", expect_size=\"40909824\"] \n  6 -> 23 [size =\"40909824\"]\n  6 -> 24 [size =\"40909824\"]\n  6 -> 25 [size =\"40909824\"]\n  6 -> 26 [size =\"40909824\"]\n  6 -> 27 [size =\"40909824\"]\n  6 -> 29 [size =\"40909824\"]\n  6 -> 30 [size =\"40909824\"]\n  6 -> 31 [size =\"40909824\"]\n  6 -> 32 [size =\"40909824\"]\n  6 -> 35 [size =\"40909824\"]\n  7 [size=\"104381440\", alpha=\"0.06\", expect_size=\"41752576\"] \n  7 -> 23 [size =\"41752576\"]\n  7 -> 24 [size =\"41752576\"]\n  7 -> 29 [size =\"41752576\"]\n  7 -> 30 [size =\"41752576\"]\n  7 -> 32 [size =\"41752576\"]\n  7 -> 35 [size =\"41752576\"]\n  8 [size=\"74104320\", alpha=\"0.13\", expect_size=\"29641728\"] \n  8 -> 21 [size =\"29641728\"]\n  8 -> 22 [size =\"29641728\"]\n  8 -> 24 [size =\"29641728\"]\n  8 -> 26 [size =\"29641728\"]\n  8 -> 29 [size =\"29641728\"]\n  8 -> 30 [size =\"29641728\"]\n  8 -> 32 [size =\"29641728\"]\n  9 [size=\"87106560\", alpha=\"0.15\", expect_size=\"34842624\"] \n  9 -> 21 [size =\"34842624\"]\n  9 -> 22 [size =\"34842624\"]\n  9 -> 23 [size =\"34842624\"]\n  9 -> 26 [size =\"34842624\"]\n  9 -> 27 [size =\"34842624\"]\n  9 -> 29 [size =\"34842624\"]\n  9 -> 30 [size =\"34842624\"]\n  9 -> 35 [size =\"34842624\"]\n  10 [size=\"87247360\", alpha=\"0.02\", expect_size=\"34898944\"] \n  10 -> 21 [size =\"34898944\"]\n  10 -> 22 [size =\"34898944\"]\n  10 -> 26 [size =\"34898944\"]\n  10 -> 29 [size =\"34898944\"]\n  10 -> 34 [size =\"34898944\"]\n  10 -> 35 [size =\"34898944\"]\n  11 [size=\"35955200\", alpha=\"0.17\", expect_size=\"14382080\"] \n  11 -> 21 [size =\"14382080\"]\n  11 -> 22 [size =\"14382080\"]\n  11 -> 29 [size =\"14382080\"]\n  11 -> 30 [size =\"14382080\"]\n  12 [size=\"104102400\", alpha=\"0.05\", expect_size=\"41640960\"] \n  12 -> 22 [size =\"41640960\"]\n  12 -> 22 [size =\"41640960\"]\n  12 -> 23 [size =\"41640960\"]\n  12 -> 24 [size =\"41640960\"]\n  12 -> 27 [size =\"41640960\"]\n  12 -> 29 [size =\"41640960\"]\n  12 -> 34 [size =\"41640960\"]\n  13 [size=\"111485440\", alpha=\"0.06\", expect_size=\"44594176\"] \n  13 -> 22 [size =\"44594176\"]\n  13 -> 23 [size =\"44594176\"]\n  13 -> 26 [size =\"44594176\"]\n  13 -> 29 [size =\"44594176\"]\n  13 -> 32 [size =\"44594176\"]\n  14 [size=\"129057280\", alpha=\"0.10\", expect_size=\"51622912\"] \n  14 -> 22 [size =\"51622912\"]\n  14 -> 23 [size =\"51622912\"]\n  14 -> 27 [size =\"51622912\"]\n  14 -> 30 [size =\"51622912\"]\n  14 -> 32 [size =\"51622912\"]\n  14 -> 33 [size =\"51622912\"]\n  14 -> 34 [size =\"51622912\"]\n  15 [size=\"128130560\", alpha=\"0.04\", expect_size=\"51252224\"] \n  15 -> 21 [size =\"51252224\"]\n  15 -> 22 [size =\"51252224\"]\n  15 -> 26 [size =\"51252224\"]\n  15 -> 27 [size =\"51252224\"]\n  15 -> 29 [size =\"51252224\"]\n  15 -> 30 [size =\"51252224\"]\n  15 -> 32 [size =\"51252224\"]\n  15 -> 34 [size =\"51252224\"]\n  15 -> 35 [size =\"51252224\"]\n  16 [size=\"42360320\", alpha=\"0.12\", expect_size=\"16944128\"] \n  16 -> 23 [size =\"16944128\"]\n  16 -> 28 [size =\"16944128\"]\n  16 -> 30 [size =\"16944128\"]\n  16 -> 31 [size =\"16944128\"]\n  16 -> 32 [size =\"16944128\"]\n  16 -> 33 [size =\"16944128\"]\n  16 -> 34 [size =\"16944128\"]\n  16 -> 35 [size =\"16944128\"]\n  17 [size=\"34127360\", alpha=\"0.07\", expect_size=\"13650944\"] \n  17 -> 21 [size =\"13650944\"]\n  17 -> 22 [size =\"13650944\"]\n  17 -> 24 [size =\"13650944\"]\n  17 -> 26 [size =\"13650944\"]\n  17 -> 30 [size =\"13650944\"]\n  17 -> 31 [size =\"13650944\"]\n  17 -> 32 [size =\"13650944\"]\n  18 [size=\"66657280\", alpha=\"0.05\", expect_size=\"26662912\"] \n  18 -> 21 [size =\"26662912\"]\n  18 -> 23 [size =\"26662912\"]\n  18 -> 26 [size =\"26662912\"]\n  18 -> 26 [size =\"26662912\"]\n  18 -> 27 [size =\"26662912\"]\n  18 -> 29 [size =\"26662912\"]\n  18 -> 31 [size =\"26662912\"]\n  19 [size=\"24599040\", alpha=\"0.03\", expect_size=\"9839616\"] \n  19 -> 21 [size =\"9839616\"]\n  19 -> 22 [size =\"9839616\"]\n  19 -> 24 [size =\"9839616\"]\n  19 -> 27 [size =\"9839616\"]\n  19 -> 31 [size =\"9839616\"]\n  20 [size=\"112829440\", alpha=\"0.00\", expect_size=\"45131776\"] \n  20 -> 21 [size =\"45131776\"]\n  20 -> 22 [size =\"45131776\"]\n  20 -> 23 [size =\"45131776\"]\n  20 -> 24 [size =\"45131776\"]\n  20 -> 26 [size =\"45131776\"]\n  20 -> 27 [size =\"45131776\"]\n  20 -> 33 [size =\"45131776\"]\n  20 -> 34 [size =\"45131776\"]\n  21 [size=\"124221440\", alpha=\"0.13\", expect_size=\"49688576\"] \n  22 [size=\"106790400\", alpha=\"0.16\", expect_size=\"42716160\"] \n  23 [size=\"20541440\", alpha=\"0.18\", expect_size=\"8216576\"] \n  24 [size=\"54871040\", alpha=\"0.07\", expect_size=\"21948416\"] \n  25 [size=\"114040320\", alpha=\"0.02\", expect_size=\"45616128\"] \n  26 [size=\"19627520\", alpha=\"0.12\", expect_size=\"7851008\"] \n  27 [size=\"90083840\", alpha=\"0.18\", expect_size=\"36033536\"] \n  28 [size=\"13557760\", alpha=\"0.15\", expect_size=\"5423104\"] \n  29 [size=\"41984000\", alpha=\"0.04\", expect_size=\"16793600\"] \n  30 [size=\"57943040\", alpha=\"0.05\", expect_size=\"23177216\"] \n  31 [size=\"58664960\", alpha=\"0.10\", expect_size=\"23465984\"] \n  32 [size=\"16811520\", alpha=\"0.11\", expect_size=\"6724608\"] \n  33 [size=\"108533760\", alpha=\"0.08\", expect_size=\"43413504\"] \n  34 [size=\"95252480\", alpha=\"0.05\", expect_size=\"38100992\"] \n  35 [size=\"15692800\", alpha=\"0.02\", expect_size=\"6277120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89722880\", alpha=\"0.08\", expect_size=\"26916864\"] \n  1 -> 2 [size =\"26916864\"]\n  2 [size=\"167424000\", alpha=\"0.20\", expect_size=\"50227200\"] \n  2 -> 3 [size =\"50227200\"]\n  3 [size=\"114029227\", alpha=\"0.07\", expect_size=\"34208768\"] \n  3 -> 4 [size =\"34208768\"]\n  4 [size=\"159423147\", alpha=\"0.18\", expect_size=\"47826944\"] \n  4 -> 5 [size =\"47826944\"]\n  5 [size=\"172182187\", alpha=\"0.04\", expect_size=\"51654656\"] \n  5 -> 6 [size =\"51654656\"]\n  6 [size=\"120606720\", alpha=\"0.08\", expect_size=\"36182016\"] \n  6 -> 7 [size =\"36182016\"]\n  7 [size=\"157009920\", alpha=\"0.14\", expect_size=\"47102976\"] \n  7 -> 8 [size =\"47102976\"]\n  8 [size=\"161860267\", alpha=\"0.03\", expect_size=\"48558080\"] \n  8 -> 9 [size =\"48558080\"]\n  9 [size=\"122559147\", alpha=\"0.05\", expect_size=\"36767744\"] \n  9 -> 10 [size =\"36767744\"]\n  10 [size=\"36116480\", alpha=\"0.10\", expect_size=\"10834944\"] \n  10 -> 11 [size =\"10834944\"]\n  11 [size=\"34655573\", alpha=\"0.14\", expect_size=\"10396672\"] \n  11 -> 12 [size =\"10396672\"]\n  12 [size=\"97686187\", alpha=\"0.16\", expect_size=\"29305856\"] \n  12 -> 13 [size =\"29305856\"]\n  13 [size=\"96580267\", alpha=\"0.00\", expect_size=\"28974080\"] \n  13 -> 14 [size =\"28974080\"]\n  14 [size=\"155016533\", alpha=\"0.01\", expect_size=\"46504960\"] \n  14 -> 15 [size =\"46504960\"]\n  15 [size=\"137192107\", alpha=\"0.03\", expect_size=\"41157632\"] \n  15 -> 16 [size =\"41157632\"]\n  16 [size=\"171219627\", alpha=\"0.19\", expect_size=\"51365888\"] \n  16 -> 17 [size =\"51365888\"]\n  17 [size=\"76547413\", alpha=\"0.15\", expect_size=\"22964224\"] \n  17 -> 18 [size =\"22964224\"]\n  18 [size=\"27153067\", alpha=\"0.01\", expect_size=\"8145920\"] \n  18 -> 19 [size =\"8145920\"]\n  19 [size=\"48749227\", alpha=\"0.08\", expect_size=\"14624768\"] \n  19 -> 20 [size =\"14624768\"]\n  20 [size=\"91627520\", alpha=\"0.04\", expect_size=\"27488256\"] \n  20 -> 21 [size =\"27488256\"]\n  21 [size=\"172871680\", alpha=\"0.09\", expect_size=\"51861504\"] \n  21 -> 22 [size =\"51861504\"]\n  22 [size=\"121777493\", alpha=\"0.13\", expect_size=\"36533248\"] \n  22 -> 23 [size =\"36533248\"]\n  23 [size=\"91057493\", alpha=\"0.10\", expect_size=\"27317248\"] \n  23 -> 24 [size =\"27317248\"]\n  24 [size=\"91323733\", alpha=\"0.04\", expect_size=\"27397120\"] \n  24 -> 25 [size =\"27397120\"]\n  25 [size=\"102761813\", alpha=\"0.18\", expect_size=\"30828544\"] \n  25 -> 26 [size =\"30828544\"]\n  26 [size=\"129000107\", alpha=\"0.05\", expect_size=\"38700032\"] \n  26 -> 27 [size =\"38700032\"]\n  27 [size=\"119405227\", alpha=\"0.10\", expect_size=\"35821568\"] \n  27 -> 28 [size =\"35821568\"]\n  28 [size=\"82551467\", alpha=\"0.14\", expect_size=\"24765440\"] \n  28 -> 29 [size =\"24765440\"]\n  29 [size=\"89480533\", alpha=\"0.11\", expect_size=\"26844160\"] \n  29 -> 30 [size =\"26844160\"]\n  30 [size=\"151650987\", alpha=\"0.10\", expect_size=\"45495296\"] \n  30 -> 31 [size =\"45495296\"]\n  31 [size=\"24340480\", alpha=\"0.11\", expect_size=\"7302144\"] \n  31 -> 32 [size =\"7302144\"]\n  32 [size=\"94365013\", alpha=\"0.02\", expect_size=\"28309504\"] \n  32 -> 33 [size =\"28309504\"]\n  33 [size=\"39816533\", alpha=\"0.04\", expect_size=\"11944960\"] \n  33 -> 34 [size =\"11944960\"]\n  34 [size=\"114537813\", alpha=\"0.03\", expect_size=\"34361344\"] \n  34 -> 35 [size =\"34361344\"]\n  35 [size=\"145899520\", alpha=\"0.17\", expect_size=\"43769856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85037056\", alpha=\"0.07\", expect_size=\"42518528\"] \n  1 -> 17 [size =\"42518528\"]\n  1 -> 18 [size =\"42518528\"]\n  2 [size=\"74016768\", alpha=\"0.16\", expect_size=\"37008384\"] \n  2 -> 16 [size =\"37008384\"]\n  2 -> 17 [size =\"37008384\"]\n  2 -> 19 [size =\"37008384\"]\n  3 [size=\"31170560\", alpha=\"0.19\", expect_size=\"15585280\"] \n  3 -> 13 [size =\"15585280\"]\n  3 -> 17 [size =\"15585280\"]\n  3 -> 22 [size =\"15585280\"]\n  4 [size=\"27906048\", alpha=\"0.17\", expect_size=\"13953024\"] \n  4 -> 13 [size =\"13953024\"]\n  4 -> 17 [size =\"13953024\"]\n  4 -> 19 [size =\"13953024\"]\n  5 [size=\"29102080\", alpha=\"0.16\", expect_size=\"14551040\"] \n  5 -> 14 [size =\"14551040\"]\n  5 -> 17 [size =\"14551040\"]\n  6 [size=\"76355584\", alpha=\"0.17\", expect_size=\"38177792\"] \n  6 -> 15 [size =\"38177792\"]\n  6 -> 17 [size =\"38177792\"]\n  6 -> 20 [size =\"38177792\"]\n  7 [size=\"41119744\", alpha=\"0.13\", expect_size=\"20559872\"] \n  7 -> 14 [size =\"20559872\"]\n  7 -> 16 [size =\"20559872\"]\n  7 -> 17 [size =\"20559872\"]\n  7 -> 20 [size =\"20559872\"]\n  8 [size=\"52142080\", alpha=\"0.07\", expect_size=\"26071040\"] \n  8 -> 16 [size =\"26071040\"]\n  8 -> 21 [size =\"26071040\"]\n  9 [size=\"23472128\", alpha=\"0.17\", expect_size=\"11736064\"] \n  9 -> 13 [size =\"11736064\"]\n  9 -> 14 [size =\"11736064\"]\n  9 -> 16 [size =\"11736064\"]\n  9 -> 17 [size =\"11736064\"]\n  9 -> 19 [size =\"11736064\"]\n  10 [size=\"77297664\", alpha=\"0.03\", expect_size=\"38648832\"] \n  10 -> 14 [size =\"38648832\"]\n  10 -> 21 [size =\"38648832\"]\n  11 [size=\"72124416\", alpha=\"0.14\", expect_size=\"36062208\"] \n  11 -> 14 [size =\"36062208\"]\n  11 -> 15 [size =\"36062208\"]\n  11 -> 16 [size =\"36062208\"]\n  11 -> 20 [size =\"36062208\"]\n  11 -> 21 [size =\"36062208\"]\n  12 [size=\"103360512\", alpha=\"0.09\", expect_size=\"51680256\"] \n  12 -> 15 [size =\"51680256\"]\n  12 -> 16 [size =\"51680256\"]\n  12 -> 16 [size =\"51680256\"]\n  12 -> 21 [size =\"51680256\"]\n  13 [size=\"84310016\", alpha=\"0.12\", expect_size=\"42155008\"] \n  13 -> 24 [size =\"42155008\"]\n  13 -> 27 [size =\"42155008\"]\n  13 -> 29 [size =\"42155008\"]\n  13 -> 31 [size =\"42155008\"]\n  14 [size=\"79968256\", alpha=\"0.11\", expect_size=\"39984128\"] \n  14 -> 29 [size =\"39984128\"]\n  14 -> 31 [size =\"39984128\"]\n  15 [size=\"64204800\", alpha=\"0.04\", expect_size=\"32102400\"] \n  15 -> 25 [size =\"32102400\"]\n  15 -> 26 [size =\"32102400\"]\n  15 -> 27 [size =\"32102400\"]\n  16 [size=\"44404736\", alpha=\"0.17\", expect_size=\"22202368\"] \n  16 -> 24 [size =\"22202368\"]\n  16 -> 25 [size =\"22202368\"]\n  16 -> 26 [size =\"22202368\"]\n  16 -> 27 [size =\"22202368\"]\n  16 -> 29 [size =\"22202368\"]\n  17 [size=\"28702720\", alpha=\"0.06\", expect_size=\"14351360\"] \n  17 -> 24 [size =\"14351360\"]\n  17 -> 25 [size =\"14351360\"]\n  17 -> 27 [size =\"14351360\"]\n  17 -> 30 [size =\"14351360\"]\n  17 -> 32 [size =\"14351360\"]\n  18 [size=\"90531840\", alpha=\"0.08\", expect_size=\"45265920\"] \n  18 -> 25 [size =\"45265920\"]\n  18 -> 31 [size =\"45265920\"]\n  19 [size=\"26980352\", alpha=\"0.05\", expect_size=\"13490176\"] \n  19 -> 25 [size =\"13490176\"]\n  19 -> 27 [size =\"13490176\"]\n  19 -> 28 [size =\"13490176\"]\n  19 -> 29 [size =\"13490176\"]\n  19 -> 31 [size =\"13490176\"]\n  20 [size=\"15159296\", alpha=\"0.08\", expect_size=\"7579648\"] \n  20 -> 25 [size =\"7579648\"]\n  20 -> 26 [size =\"7579648\"]\n  20 -> 29 [size =\"7579648\"]\n  20 -> 31 [size =\"7579648\"]\n  20 -> 32 [size =\"7579648\"]\n  21 [size=\"28172288\", alpha=\"0.07\", expect_size=\"14086144\"] \n  21 -> 23 [size =\"14086144\"]\n  21 -> 25 [size =\"14086144\"]\n  21 -> 29 [size =\"14086144\"]\n  21 -> 31 [size =\"14086144\"]\n  21 -> 32 [size =\"14086144\"]\n  22 [size=\"92047360\", alpha=\"0.00\", expect_size=\"46023680\"] \n  22 -> 27 [size =\"46023680\"]\n  22 -> 28 [size =\"46023680\"]\n  22 -> 29 [size =\"46023680\"]\n  22 -> 31 [size =\"46023680\"]\n  23 [size=\"42418176\", alpha=\"0.17\", expect_size=\"21209088\"] \n  23 -> 35 [size =\"21209088\"]\n  24 [size=\"97318912\", alpha=\"0.18\", expect_size=\"48659456\"] \n  24 -> 35 [size =\"48659456\"]\n  25 [size=\"53743616\", alpha=\"0.03\", expect_size=\"26871808\"] \n  26 [size=\"72718336\", alpha=\"0.01\", expect_size=\"36359168\"] \n  26 -> 34 [size =\"36359168\"]\n  27 [size=\"60860416\", alpha=\"0.07\", expect_size=\"30430208\"] \n  27 -> 33 [size =\"30430208\"]\n  27 -> 35 [size =\"30430208\"]\n  28 [size=\"89139200\", alpha=\"0.01\", expect_size=\"44569600\"] \n  28 -> 34 [size =\"44569600\"]\n  28 -> 35 [size =\"44569600\"]\n  29 [size=\"33505280\", alpha=\"0.17\", expect_size=\"16752640\"] \n  30 [size=\"55762944\", alpha=\"0.08\", expect_size=\"27881472\"] \n  31 [size=\"94226432\", alpha=\"0.12\", expect_size=\"47113216\"] \n  31 -> 33 [size =\"47113216\"]\n  31 -> 34 [size =\"47113216\"]\n  31 -> 35 [size =\"47113216\"]\n  32 [size=\"34703360\", alpha=\"0.16\", expect_size=\"17351680\"] \n  32 -> 34 [size =\"17351680\"]\n  32 -> 35 [size =\"17351680\"]\n  33 [size=\"35100672\", alpha=\"0.15\", expect_size=\"17550336\"] \n  34 [size=\"21731328\", alpha=\"0.09\", expect_size=\"10865664\"] \n  35 [size=\"12015616\", alpha=\"0.15\", expect_size=\"6007808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105454080\", alpha=\"0.15\", expect_size=\"42181632\"] \n  1 -> 2 [size =\"42181632\"]\n  2 [size=\"77580800\", alpha=\"0.14\", expect_size=\"31032320\"] \n  2 -> 3 [size =\"31032320\"]\n  3 [size=\"46753280\", alpha=\"0.09\", expect_size=\"18701312\"] \n  3 -> 4 [size =\"18701312\"]\n  4 [size=\"21834240\", alpha=\"0.14\", expect_size=\"8733696\"] \n  4 -> 5 [size =\"8733696\"]\n  5 [size=\"29053440\", alpha=\"0.08\", expect_size=\"11621376\"] \n  5 -> 6 [size =\"11621376\"]\n  6 [size=\"90680320\", alpha=\"0.17\", expect_size=\"36272128\"] \n  6 -> 7 [size =\"36272128\"]\n  7 [size=\"58946560\", alpha=\"0.19\", expect_size=\"23578624\"] \n  7 -> 8 [size =\"23578624\"]\n  8 [size=\"47226880\", alpha=\"0.13\", expect_size=\"18890752\"] \n  8 -> 9 [size =\"18890752\"]\n  9 [size=\"26355200\", alpha=\"0.15\", expect_size=\"10542080\"] \n  9 -> 10 [size =\"10542080\"]\n  10 [size=\"39301120\", alpha=\"0.04\", expect_size=\"15720448\"] \n  10 -> 11 [size =\"15720448\"]\n  11 [size=\"121223680\", alpha=\"0.13\", expect_size=\"48489472\"] \n  11 -> 12 [size =\"48489472\"]\n  12 [size=\"91325440\", alpha=\"0.00\", expect_size=\"36530176\"] \n  12 -> 13 [size =\"36530176\"]\n  13 [size=\"57438720\", alpha=\"0.06\", expect_size=\"22975488\"] \n  13 -> 14 [size =\"22975488\"]\n  14 [size=\"112606720\", alpha=\"0.11\", expect_size=\"45042688\"] \n  14 -> 15 [size =\"45042688\"]\n  15 [size=\"79303680\", alpha=\"0.19\", expect_size=\"31721472\"] \n  15 -> 16 [size =\"31721472\"]\n  16 [size=\"125498880\", alpha=\"0.13\", expect_size=\"50199552\"] \n  16 -> 17 [size =\"50199552\"]\n  17 [size=\"105484800\", alpha=\"0.11\", expect_size=\"42193920\"] \n  17 -> 18 [size =\"42193920\"]\n  18 [size=\"98472960\", alpha=\"0.10\", expect_size=\"39389184\"] \n  18 -> 19 [size =\"39389184\"]\n  19 [size=\"57556480\", alpha=\"0.07\", expect_size=\"23022592\"] \n  19 -> 20 [size =\"23022592\"]\n  20 [size=\"28523520\", alpha=\"0.07\", expect_size=\"11409408\"] \n  20 -> 21 [size =\"11409408\"]\n  21 [size=\"54689280\", alpha=\"0.03\", expect_size=\"21875712\"] \n  21 -> 22 [size =\"21875712\"]\n  22 [size=\"15636480\", alpha=\"0.09\", expect_size=\"6254592\"] \n  22 -> 23 [size =\"6254592\"]\n  23 [size=\"18334720\", alpha=\"0.02\", expect_size=\"7333888\"] \n  23 -> 24 [size =\"7333888\"]\n  24 [size=\"54507520\", alpha=\"0.15\", expect_size=\"21803008\"] \n  24 -> 25 [size =\"21803008\"]\n  25 [size=\"116846080\", alpha=\"0.12\", expect_size=\"46738432\"] \n  25 -> 26 [size =\"46738432\"]\n  26 [size=\"109752320\", alpha=\"0.01\", expect_size=\"43900928\"] \n  26 -> 27 [size =\"43900928\"]\n  27 [size=\"70543360\", alpha=\"0.19\", expect_size=\"28217344\"] \n  27 -> 28 [size =\"28217344\"]\n  28 [size=\"18785280\", alpha=\"0.02\", expect_size=\"7514112\"] \n  28 -> 29 [size =\"7514112\"]\n  29 [size=\"75847680\", alpha=\"0.07\", expect_size=\"30339072\"] \n  29 -> 30 [size =\"30339072\"]\n  30 [size=\"118059520\", alpha=\"0.17\", expect_size=\"47223808\"] \n  30 -> 31 [size =\"47223808\"]\n  31 [size=\"42142720\", alpha=\"0.05\", expect_size=\"16857088\"] \n  31 -> 32 [size =\"16857088\"]\n  32 [size=\"58408960\", alpha=\"0.07\", expect_size=\"23363584\"] \n  32 -> 33 [size =\"23363584\"]\n  33 [size=\"113369600\", alpha=\"0.16\", expect_size=\"45347840\"] \n  33 -> 34 [size =\"45347840\"]\n  34 [size=\"122705920\", alpha=\"0.02\", expect_size=\"49082368\"] \n  34 -> 35 [size =\"49082368\"]\n  35 [size=\"95147520\", alpha=\"0.19\", expect_size=\"38059008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86712320\", alpha=\"0.00\", expect_size=\"34684928\"] \n  1 -> 2 [size =\"34684928\"]\n  2 [size=\"69747200\", alpha=\"0.03\", expect_size=\"27898880\"] \n  2 -> 3 [size =\"27898880\"]\n  3 [size=\"100456960\", alpha=\"0.04\", expect_size=\"40182784\"] \n  3 -> 4 [size =\"40182784\"]\n  4 [size=\"29130240\", alpha=\"0.18\", expect_size=\"11652096\"] \n  4 -> 5 [size =\"11652096\"]\n  5 [size=\"79603200\", alpha=\"0.19\", expect_size=\"31841280\"] \n  5 -> 6 [size =\"31841280\"]\n  6 [size=\"120906240\", alpha=\"0.00\", expect_size=\"48362496\"] \n  6 -> 7 [size =\"48362496\"]\n  7 [size=\"19614720\", alpha=\"0.02\", expect_size=\"7845888\"] \n  7 -> 8 [size =\"7845888\"]\n  8 [size=\"121640960\", alpha=\"0.14\", expect_size=\"48656384\"] \n  8 -> 9 [size =\"48656384\"]\n  9 [size=\"123399680\", alpha=\"0.11\", expect_size=\"49359872\"] \n  9 -> 10 [size =\"49359872\"]\n  10 [size=\"66749440\", alpha=\"0.08\", expect_size=\"26699776\"] \n  10 -> 11 [size =\"26699776\"]\n  11 [size=\"36856320\", alpha=\"0.13\", expect_size=\"14742528\"] \n  11 -> 12 [size =\"14742528\"]\n  12 [size=\"39592960\", alpha=\"0.08\", expect_size=\"15837184\"] \n  12 -> 13 [size =\"15837184\"]\n  13 [size=\"58693120\", alpha=\"0.19\", expect_size=\"23477248\"] \n  13 -> 14 [size =\"23477248\"]\n  14 [size=\"85071360\", alpha=\"0.08\", expect_size=\"34028544\"] \n  14 -> 15 [size =\"34028544\"]\n  15 [size=\"73064960\", alpha=\"0.02\", expect_size=\"29225984\"] \n  15 -> 16 [size =\"29225984\"]\n  16 [size=\"68994560\", alpha=\"0.15\", expect_size=\"27597824\"] \n  16 -> 17 [size =\"27597824\"]\n  17 [size=\"71528960\", alpha=\"0.07\", expect_size=\"28611584\"] \n  17 -> 18 [size =\"28611584\"]\n  18 [size=\"83560960\", alpha=\"0.08\", expect_size=\"33424384\"] \n  18 -> 19 [size =\"33424384\"]\n  19 [size=\"50460160\", alpha=\"0.11\", expect_size=\"20184064\"] \n  19 -> 20 [size =\"20184064\"]\n  20 [size=\"117621760\", alpha=\"0.05\", expect_size=\"47048704\"] \n  20 -> 21 [size =\"47048704\"]\n  21 [size=\"46328320\", alpha=\"0.13\", expect_size=\"18531328\"] \n  21 -> 22 [size =\"18531328\"]\n  22 [size=\"122698240\", alpha=\"0.09\", expect_size=\"49079296\"] \n  22 -> 23 [size =\"49079296\"]\n  23 [size=\"54563840\", alpha=\"0.01\", expect_size=\"21825536\"] \n  23 -> 24 [size =\"21825536\"]\n  24 [size=\"49546240\", alpha=\"0.15\", expect_size=\"19818496\"] \n  24 -> 25 [size =\"19818496\"]\n  25 [size=\"99243520\", alpha=\"0.01\", expect_size=\"39697408\"] \n  25 -> 26 [size =\"39697408\"]\n  26 [size=\"112455680\", alpha=\"0.04\", expect_size=\"44982272\"] \n  26 -> 27 [size =\"44982272\"]\n  27 [size=\"85772800\", alpha=\"0.09\", expect_size=\"34309120\"] \n  27 -> 28 [size =\"34309120\"]\n  28 [size=\"127692800\", alpha=\"0.13\", expect_size=\"51077120\"] \n  28 -> 29 [size =\"51077120\"]\n  29 [size=\"56732160\", alpha=\"0.15\", expect_size=\"22692864\"] \n  29 -> 30 [size =\"22692864\"]\n  30 [size=\"119953920\", alpha=\"0.06\", expect_size=\"47981568\"] \n  30 -> 31 [size =\"47981568\"]\n  31 [size=\"33697280\", alpha=\"0.01\", expect_size=\"13478912\"] \n  31 -> 32 [size =\"13478912\"]\n  32 [size=\"107494400\", alpha=\"0.01\", expect_size=\"42997760\"] \n  32 -> 33 [size =\"42997760\"]\n  33 [size=\"44093440\", alpha=\"0.08\", expect_size=\"17637376\"] \n  33 -> 34 [size =\"17637376\"]\n  34 [size=\"48808960\", alpha=\"0.07\", expect_size=\"19523584\"] \n  34 -> 35 [size =\"19523584\"]\n  35 [size=\"19701760\", alpha=\"0.17\", expect_size=\"7880704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124108800\", alpha=\"0.16\", expect_size=\"49643520\"] \n  1 -> 2 [size =\"49643520\"]\n  2 [size=\"117747200\", alpha=\"0.12\", expect_size=\"47098880\"] \n  2 -> 3 [size =\"47098880\"]\n  3 [size=\"91701760\", alpha=\"0.09\", expect_size=\"36680704\"] \n  3 -> 4 [size =\"36680704\"]\n  4 [size=\"32606720\", alpha=\"0.11\", expect_size=\"13042688\"] \n  4 -> 5 [size =\"13042688\"]\n  5 [size=\"66984960\", alpha=\"0.10\", expect_size=\"26793984\"] \n  5 -> 6 [size =\"26793984\"]\n  6 [size=\"28577280\", alpha=\"0.03\", expect_size=\"11430912\"] \n  6 -> 7 [size =\"11430912\"]\n  7 [size=\"34227200\", alpha=\"0.04\", expect_size=\"13690880\"] \n  7 -> 8 [size =\"13690880\"]\n  8 [size=\"13552640\", alpha=\"0.14\", expect_size=\"5421056\"] \n  8 -> 9 [size =\"5421056\"]\n  9 [size=\"96314880\", alpha=\"0.06\", expect_size=\"38525952\"] \n  9 -> 10 [size =\"38525952\"]\n  10 [size=\"87288320\", alpha=\"0.19\", expect_size=\"34915328\"] \n  10 -> 11 [size =\"34915328\"]\n  11 [size=\"62609920\", alpha=\"0.10\", expect_size=\"25043968\"] \n  11 -> 12 [size =\"25043968\"]\n  12 [size=\"37793280\", alpha=\"0.03\", expect_size=\"15117312\"] \n  12 -> 13 [size =\"15117312\"]\n  13 [size=\"108313600\", alpha=\"0.18\", expect_size=\"43325440\"] \n  13 -> 14 [size =\"43325440\"]\n  14 [size=\"44856320\", alpha=\"0.11\", expect_size=\"17942528\"] \n  14 -> 15 [size =\"17942528\"]\n  15 [size=\"110407680\", alpha=\"0.09\", expect_size=\"44163072\"] \n  15 -> 16 [size =\"44163072\"]\n  16 [size=\"52472320\", alpha=\"0.09\", expect_size=\"20988928\"] \n  16 -> 17 [size =\"20988928\"]\n  17 [size=\"72808960\", alpha=\"0.02\", expect_size=\"29123584\"] \n  17 -> 18 [size =\"29123584\"]\n  18 [size=\"97666560\", alpha=\"0.13\", expect_size=\"39066624\"] \n  18 -> 19 [size =\"39066624\"]\n  19 [size=\"64286720\", alpha=\"0.09\", expect_size=\"25714688\"] \n  19 -> 20 [size =\"25714688\"]\n  20 [size=\"99205120\", alpha=\"0.15\", expect_size=\"39682048\"] \n  20 -> 21 [size =\"39682048\"]\n  21 [size=\"93944320\", alpha=\"0.20\", expect_size=\"37577728\"] \n  21 -> 22 [size =\"37577728\"]\n  22 [size=\"32663040\", alpha=\"0.03\", expect_size=\"13065216\"] \n  22 -> 23 [size =\"13065216\"]\n  23 [size=\"48944640\", alpha=\"0.19\", expect_size=\"19577856\"] \n  23 -> 24 [size =\"19577856\"]\n  24 [size=\"34475520\", alpha=\"0.18\", expect_size=\"13790208\"] \n  24 -> 25 [size =\"13790208\"]\n  25 [size=\"96552960\", alpha=\"0.07\", expect_size=\"38621184\"] \n  25 -> 26 [size =\"38621184\"]\n  26 [size=\"29048320\", alpha=\"0.18\", expect_size=\"11619328\"] \n  26 -> 27 [size =\"11619328\"]\n  27 [size=\"81185280\", alpha=\"0.13\", expect_size=\"32474112\"] \n  27 -> 28 [size =\"32474112\"]\n  28 [size=\"94702080\", alpha=\"0.08\", expect_size=\"37880832\"] \n  28 -> 29 [size =\"37880832\"]\n  29 [size=\"55111680\", alpha=\"0.17\", expect_size=\"22044672\"] \n  29 -> 30 [size =\"22044672\"]\n  30 [size=\"106073600\", alpha=\"0.18\", expect_size=\"42429440\"] \n  30 -> 31 [size =\"42429440\"]\n  31 [size=\"75891200\", alpha=\"0.08\", expect_size=\"30356480\"] \n  31 -> 32 [size =\"30356480\"]\n  32 [size=\"75571200\", alpha=\"0.02\", expect_size=\"30228480\"] \n  32 -> 33 [size =\"30228480\"]\n  33 [size=\"91788800\", alpha=\"0.12\", expect_size=\"36715520\"] \n  33 -> 34 [size =\"36715520\"]\n  34 [size=\"85178880\", alpha=\"0.08\", expect_size=\"34071552\"] \n  34 -> 35 [size =\"34071552\"]\n  35 [size=\"75235840\", alpha=\"0.00\", expect_size=\"30094336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75022336\", alpha=\"0.15\", expect_size=\"37511168\"] \n  2 [size=\"86468608\", alpha=\"0.11\", expect_size=\"43234304\"] \n  3 [size=\"80408576\", alpha=\"0.06\", expect_size=\"40204288\"] \n  3 -> 35 [size =\"40204288\"]\n  4 [size=\"48488448\", alpha=\"0.02\", expect_size=\"24244224\"] \n  5 [size=\"94418944\", alpha=\"0.13\", expect_size=\"47209472\"] \n  5 -> 35 [size =\"47209472\"]\n  6 [size=\"83830784\", alpha=\"0.10\", expect_size=\"41915392\"] \n  6 -> 35 [size =\"41915392\"]\n  7 [size=\"34326528\", alpha=\"0.09\", expect_size=\"17163264\"] \n  8 [size=\"94945280\", alpha=\"0.15\", expect_size=\"47472640\"] \n  9 [size=\"37832704\", alpha=\"0.07\", expect_size=\"18916352\"] \n  10 [size=\"42293248\", alpha=\"0.06\", expect_size=\"21146624\"] \n  11 [size=\"103727104\", alpha=\"0.16\", expect_size=\"51863552\"] \n  11 -> 35 [size =\"51863552\"]\n  12 [size=\"81274880\", alpha=\"0.11\", expect_size=\"40637440\"] \n  12 -> 35 [size =\"40637440\"]\n  13 [size=\"37214208\", alpha=\"0.10\", expect_size=\"18607104\"] \n  14 [size=\"64997376\", alpha=\"0.13\", expect_size=\"32498688\"] \n  15 [size=\"74242048\", alpha=\"0.13\", expect_size=\"37121024\"] \n  16 [size=\"41111552\", alpha=\"0.10\", expect_size=\"20555776\"] \n  16 -> 35 [size =\"20555776\"]\n  17 [size=\"87455744\", alpha=\"0.05\", expect_size=\"43727872\"] \n  18 [size=\"35074048\", alpha=\"0.15\", expect_size=\"17537024\"] \n  19 [size=\"13641728\", alpha=\"0.03\", expect_size=\"6820864\"] \n  20 [size=\"48926720\", alpha=\"0.09\", expect_size=\"24463360\"] \n  21 [size=\"78163968\", alpha=\"0.09\", expect_size=\"39081984\"] \n  21 -> 35 [size =\"39081984\"]\n  22 [size=\"60618752\", alpha=\"0.04\", expect_size=\"30309376\"] \n  22 -> 35 [size =\"30309376\"]\n  23 [size=\"16369664\", alpha=\"0.15\", expect_size=\"8184832\"] \n  23 -> 35 [size =\"8184832\"]\n  24 [size=\"63944704\", alpha=\"0.13\", expect_size=\"31972352\"] \n  25 [size=\"32399360\", alpha=\"0.10\", expect_size=\"16199680\"] \n  26 [size=\"95864832\", alpha=\"0.02\", expect_size=\"47932416\"] \n  27 [size=\"49160192\", alpha=\"0.19\", expect_size=\"24580096\"] \n  28 [size=\"74555392\", alpha=\"0.14\", expect_size=\"37277696\"] \n  29 [size=\"51656704\", alpha=\"0.14\", expect_size=\"25828352\"] \n  30 [size=\"65255424\", alpha=\"0.02\", expect_size=\"32627712\"] \n  31 [size=\"12683264\", alpha=\"0.09\", expect_size=\"6341632\"] \n  32 [size=\"52848640\", alpha=\"0.11\", expect_size=\"26424320\"] \n  33 [size=\"72992768\", alpha=\"0.19\", expect_size=\"36496384\"] \n  34 [size=\"48668672\", alpha=\"0.19\", expect_size=\"24334336\"] \n  35 [size=\"17879040\", alpha=\"0.12\", expect_size=\"8939520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66840576\", alpha=\"0.16\", expect_size=\"33420288\"] \n  1 -> 2 [size =\"33420288\"]\n  2 [size=\"78909440\", alpha=\"0.19\", expect_size=\"39454720\"] \n  2 -> 3 [size =\"39454720\"]\n  3 [size=\"61825024\", alpha=\"0.19\", expect_size=\"30912512\"] \n  3 -> 4 [size =\"30912512\"]\n  4 [size=\"34291712\", alpha=\"0.08\", expect_size=\"17145856\"] \n  4 -> 5 [size =\"17145856\"]\n  5 [size=\"83386368\", alpha=\"0.02\", expect_size=\"41693184\"] \n  5 -> 6 [size =\"41693184\"]\n  6 [size=\"19632128\", alpha=\"0.20\", expect_size=\"9816064\"] \n  6 -> 7 [size =\"9816064\"]\n  7 [size=\"53811200\", alpha=\"0.19\", expect_size=\"26905600\"] \n  7 -> 8 [size =\"26905600\"]\n  8 [size=\"29786112\", alpha=\"0.05\", expect_size=\"14893056\"] \n  8 -> 9 [size =\"14893056\"]\n  9 [size=\"36919296\", alpha=\"0.16\", expect_size=\"18459648\"] \n  9 -> 10 [size =\"18459648\"]\n  10 [size=\"11581440\", alpha=\"0.03\", expect_size=\"5790720\"] \n  10 -> 11 [size =\"5790720\"]\n  11 [size=\"94613504\", alpha=\"0.05\", expect_size=\"47306752\"] \n  11 -> 12 [size =\"47306752\"]\n  12 [size=\"77963264\", alpha=\"0.04\", expect_size=\"38981632\"] \n  12 -> 13 [size =\"38981632\"]\n  13 [size=\"75274240\", alpha=\"0.17\", expect_size=\"37637120\"] \n  13 -> 14 [size =\"37637120\"]\n  14 [size=\"69836800\", alpha=\"0.09\", expect_size=\"34918400\"] \n  14 -> 15 [size =\"34918400\"]\n  15 [size=\"10995712\", alpha=\"0.16\", expect_size=\"5497856\"] \n  15 -> 16 [size =\"5497856\"]\n  16 [size=\"20926464\", alpha=\"0.02\", expect_size=\"10463232\"] \n  16 -> 17 [size =\"10463232\"]\n  17 [size=\"19924992\", alpha=\"0.01\", expect_size=\"9962496\"] \n  17 -> 18 [size =\"9962496\"]\n  18 [size=\"15290368\", alpha=\"0.14\", expect_size=\"7645184\"] \n  18 -> 19 [size =\"7645184\"]\n  19 [size=\"38453248\", alpha=\"0.17\", expect_size=\"19226624\"] \n  19 -> 20 [size =\"19226624\"]\n  20 [size=\"19236864\", alpha=\"0.09\", expect_size=\"9618432\"] \n  20 -> 21 [size =\"9618432\"]\n  21 [size=\"32477184\", alpha=\"0.13\", expect_size=\"16238592\"] \n  21 -> 22 [size =\"16238592\"]\n  22 [size=\"54706176\", alpha=\"0.12\", expect_size=\"27353088\"] \n  22 -> 23 [size =\"27353088\"]\n  23 [size=\"72460288\", alpha=\"0.01\", expect_size=\"36230144\"] \n  23 -> 24 [size =\"36230144\"]\n  24 [size=\"60526592\", alpha=\"0.16\", expect_size=\"30263296\"] \n  24 -> 25 [size =\"30263296\"]\n  25 [size=\"101976064\", alpha=\"0.06\", expect_size=\"50988032\"] \n  25 -> 26 [size =\"50988032\"]\n  26 [size=\"84953088\", alpha=\"0.18\", expect_size=\"42476544\"] \n  26 -> 27 [size =\"42476544\"]\n  27 [size=\"95152128\", alpha=\"0.19\", expect_size=\"47576064\"] \n  27 -> 28 [size =\"47576064\"]\n  28 [size=\"99538944\", alpha=\"0.04\", expect_size=\"49769472\"] \n  28 -> 29 [size =\"49769472\"]\n  29 [size=\"72097792\", alpha=\"0.15\", expect_size=\"36048896\"] \n  29 -> 30 [size =\"36048896\"]\n  30 [size=\"58374144\", alpha=\"0.06\", expect_size=\"29187072\"] \n  30 -> 31 [size =\"29187072\"]\n  31 [size=\"102066176\", alpha=\"0.15\", expect_size=\"51033088\"] \n  31 -> 32 [size =\"51033088\"]\n  32 [size=\"70785024\", alpha=\"0.18\", expect_size=\"35392512\"] \n  32 -> 33 [size =\"35392512\"]\n  33 [size=\"32956416\", alpha=\"0.15\", expect_size=\"16478208\"] \n  33 -> 34 [size =\"16478208\"]\n  34 [size=\"39917568\", alpha=\"0.04\", expect_size=\"19958784\"] \n  34 -> 35 [size =\"19958784\"]\n  35 [size=\"21104640\", alpha=\"0.14\", expect_size=\"10552320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96196608\", alpha=\"0.01\", expect_size=\"48098304\"] \n  1 -> 2 [size =\"48098304\"]\n  2 [size=\"69326848\", alpha=\"0.17\", expect_size=\"34663424\"] \n  2 -> 3 [size =\"34663424\"]\n  3 [size=\"53708800\", alpha=\"0.13\", expect_size=\"26854400\"] \n  3 -> 4 [size =\"26854400\"]\n  4 [size=\"82720768\", alpha=\"0.20\", expect_size=\"41360384\"] \n  4 -> 5 [size =\"41360384\"]\n  5 [size=\"71198720\", alpha=\"0.02\", expect_size=\"35599360\"] \n  5 -> 6 [size =\"35599360\"]\n  6 [size=\"37337088\", alpha=\"0.12\", expect_size=\"18668544\"] \n  6 -> 7 [size =\"18668544\"]\n  7 [size=\"61788160\", alpha=\"0.10\", expect_size=\"30894080\"] \n  7 -> 8 [size =\"30894080\"]\n  8 [size=\"80021504\", alpha=\"0.03\", expect_size=\"40010752\"] \n  8 -> 9 [size =\"40010752\"]\n  9 [size=\"103350272\", alpha=\"0.09\", expect_size=\"51675136\"] \n  9 -> 10 [size =\"51675136\"]\n  10 [size=\"19988480\", alpha=\"0.02\", expect_size=\"9994240\"] \n  10 -> 11 [size =\"9994240\"]\n  11 [size=\"57874432\", alpha=\"0.19\", expect_size=\"28937216\"] \n  11 -> 12 [size =\"28937216\"]\n  12 [size=\"63791104\", alpha=\"0.15\", expect_size=\"31895552\"] \n  12 -> 13 [size =\"31895552\"]\n  13 [size=\"51959808\", alpha=\"0.03\", expect_size=\"25979904\"] \n  13 -> 14 [size =\"25979904\"]\n  14 [size=\"18169856\", alpha=\"0.08\", expect_size=\"9084928\"] \n  14 -> 15 [size =\"9084928\"]\n  15 [size=\"17039360\", alpha=\"0.09\", expect_size=\"8519680\"] \n  15 -> 16 [size =\"8519680\"]\n  16 [size=\"25997312\", alpha=\"0.02\", expect_size=\"12998656\"] \n  16 -> 17 [size =\"12998656\"]\n  17 [size=\"80539648\", alpha=\"0.02\", expect_size=\"40269824\"] \n  17 -> 18 [size =\"40269824\"]\n  18 [size=\"32194560\", alpha=\"0.05\", expect_size=\"16097280\"] \n  18 -> 19 [size =\"16097280\"]\n  19 [size=\"47366144\", alpha=\"0.20\", expect_size=\"23683072\"] \n  19 -> 20 [size =\"23683072\"]\n  20 [size=\"87898112\", alpha=\"0.13\", expect_size=\"43949056\"] \n  20 -> 21 [size =\"43949056\"]\n  21 [size=\"96808960\", alpha=\"0.04\", expect_size=\"48404480\"] \n  21 -> 22 [size =\"48404480\"]\n  22 [size=\"92098560\", alpha=\"0.08\", expect_size=\"46049280\"] \n  22 -> 23 [size =\"46049280\"]\n  23 [size=\"70531072\", alpha=\"0.01\", expect_size=\"35265536\"] \n  23 -> 24 [size =\"35265536\"]\n  24 [size=\"84377600\", alpha=\"0.10\", expect_size=\"42188800\"] \n  24 -> 25 [size =\"42188800\"]\n  25 [size=\"26068992\", alpha=\"0.11\", expect_size=\"13034496\"] \n  25 -> 26 [size =\"13034496\"]\n  26 [size=\"69216256\", alpha=\"0.18\", expect_size=\"34608128\"] \n  26 -> 27 [size =\"34608128\"]\n  27 [size=\"76840960\", alpha=\"0.15\", expect_size=\"38420480\"] \n  27 -> 28 [size =\"38420480\"]\n  28 [size=\"85481472\", alpha=\"0.08\", expect_size=\"42740736\"] \n  28 -> 29 [size =\"42740736\"]\n  29 [size=\"13787136\", alpha=\"0.20\", expect_size=\"6893568\"] \n  29 -> 30 [size =\"6893568\"]\n  30 [size=\"13047808\", alpha=\"0.14\", expect_size=\"6523904\"] \n  30 -> 31 [size =\"6523904\"]\n  31 [size=\"74592256\", alpha=\"0.18\", expect_size=\"37296128\"] \n  31 -> 32 [size =\"37296128\"]\n  32 [size=\"95391744\", alpha=\"0.14\", expect_size=\"47695872\"] \n  32 -> 33 [size =\"47695872\"]\n  33 [size=\"39913472\", alpha=\"0.18\", expect_size=\"19956736\"] \n  33 -> 34 [size =\"19956736\"]\n  34 [size=\"45754368\", alpha=\"0.04\", expect_size=\"22877184\"] \n  34 -> 35 [size =\"22877184\"]\n  35 [size=\"90775552\", alpha=\"0.11\", expect_size=\"45387776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10516480\", alpha=\"0.17\", expect_size=\"5258240\"] \n  1 -> 25 [size =\"5258240\"]\n  1 -> 26 [size =\"5258240\"]\n  1 -> 27 [size =\"5258240\"]\n  1 -> 28 [size =\"5258240\"]\n  1 -> 30 [size =\"5258240\"]\n  1 -> 32 [size =\"5258240\"]\n  1 -> 33 [size =\"5258240\"]\n  2 [size=\"70012928\", alpha=\"0.16\", expect_size=\"35006464\"] \n  2 -> 26 [size =\"35006464\"]\n  2 -> 27 [size =\"35006464\"]\n  2 -> 28 [size =\"35006464\"]\n  2 -> 28 [size =\"35006464\"]\n  2 -> 29 [size =\"35006464\"]\n  2 -> 32 [size =\"35006464\"]\n  2 -> 33 [size =\"35006464\"]\n  3 [size=\"64722944\", alpha=\"0.17\", expect_size=\"32361472\"] \n  3 -> 29 [size =\"32361472\"]\n  3 -> 32 [size =\"32361472\"]\n  4 [size=\"93069312\", alpha=\"0.18\", expect_size=\"46534656\"] \n  4 -> 27 [size =\"46534656\"]\n  4 -> 30 [size =\"46534656\"]\n  4 -> 31 [size =\"46534656\"]\n  4 -> 32 [size =\"46534656\"]\n  4 -> 33 [size =\"46534656\"]\n  4 -> 34 [size =\"46534656\"]\n  5 [size=\"42598400\", alpha=\"0.05\", expect_size=\"21299200\"] \n  5 -> 26 [size =\"21299200\"]\n  5 -> 27 [size =\"21299200\"]\n  5 -> 29 [size =\"21299200\"]\n  5 -> 30 [size =\"21299200\"]\n  5 -> 32 [size =\"21299200\"]\n  5 -> 33 [size =\"21299200\"]\n  6 [size=\"44867584\", alpha=\"0.09\", expect_size=\"22433792\"] \n  6 -> 25 [size =\"22433792\"]\n  6 -> 26 [size =\"22433792\"]\n  6 -> 27 [size =\"22433792\"]\n  6 -> 32 [size =\"22433792\"]\n  6 -> 33 [size =\"22433792\"]\n  6 -> 34 [size =\"22433792\"]\n  7 [size=\"28286976\", alpha=\"0.13\", expect_size=\"14143488\"] \n  7 -> 26 [size =\"14143488\"]\n  7 -> 28 [size =\"14143488\"]\n  7 -> 35 [size =\"14143488\"]\n  8 [size=\"69363712\", alpha=\"0.13\", expect_size=\"34681856\"] \n  8 -> 26 [size =\"34681856\"]\n  8 -> 27 [size =\"34681856\"]\n  8 -> 29 [size =\"34681856\"]\n  8 -> 30 [size =\"34681856\"]\n  8 -> 31 [size =\"34681856\"]\n  9 [size=\"62484480\", alpha=\"0.19\", expect_size=\"31242240\"] \n  9 -> 27 [size =\"31242240\"]\n  9 -> 29 [size =\"31242240\"]\n  9 -> 29 [size =\"31242240\"]\n  9 -> 30 [size =\"31242240\"]\n  9 -> 31 [size =\"31242240\"]\n  9 -> 32 [size =\"31242240\"]\n  9 -> 33 [size =\"31242240\"]\n  10 [size=\"78735360\", alpha=\"0.10\", expect_size=\"39367680\"] \n  10 -> 27 [size =\"39367680\"]\n  10 -> 28 [size =\"39367680\"]\n  10 -> 29 [size =\"39367680\"]\n  10 -> 30 [size =\"39367680\"]\n  10 -> 31 [size =\"39367680\"]\n  10 -> 33 [size =\"39367680\"]\n  10 -> 33 [size =\"39367680\"]\n  11 [size=\"43814912\", alpha=\"0.19\", expect_size=\"21907456\"] \n  11 -> 26 [size =\"21907456\"]\n  11 -> 27 [size =\"21907456\"]\n  11 -> 28 [size =\"21907456\"]\n  11 -> 29 [size =\"21907456\"]\n  11 -> 30 [size =\"21907456\"]\n  11 -> 31 [size =\"21907456\"]\n  11 -> 32 [size =\"21907456\"]\n  11 -> 33 [size =\"21907456\"]\n  12 [size=\"31258624\", alpha=\"0.07\", expect_size=\"15629312\"] \n  12 -> 26 [size =\"15629312\"]\n  12 -> 30 [size =\"15629312\"]\n  12 -> 31 [size =\"15629312\"]\n  12 -> 32 [size =\"15629312\"]\n  12 -> 33 [size =\"15629312\"]\n  12 -> 34 [size =\"15629312\"]\n  13 [size=\"12769280\", alpha=\"0.06\", expect_size=\"6384640\"] \n  13 -> 26 [size =\"6384640\"]\n  13 -> 27 [size =\"6384640\"]\n  13 -> 30 [size =\"6384640\"]\n  13 -> 31 [size =\"6384640\"]\n  13 -> 32 [size =\"6384640\"]\n  13 -> 33 [size =\"6384640\"]\n  14 [size=\"93192192\", alpha=\"0.18\", expect_size=\"46596096\"] \n  14 -> 25 [size =\"46596096\"]\n  14 -> 27 [size =\"46596096\"]\n  14 -> 28 [size =\"46596096\"]\n  14 -> 30 [size =\"46596096\"]\n  14 -> 31 [size =\"46596096\"]\n  14 -> 33 [size =\"46596096\"]\n  15 [size=\"84680704\", alpha=\"0.03\", expect_size=\"42340352\"] \n  15 -> 26 [size =\"42340352\"]\n  15 -> 27 [size =\"42340352\"]\n  15 -> 28 [size =\"42340352\"]\n  15 -> 30 [size =\"42340352\"]\n  15 -> 31 [size =\"42340352\"]\n  15 -> 33 [size =\"42340352\"]\n  16 [size=\"12967936\", alpha=\"0.13\", expect_size=\"6483968\"] \n  16 -> 25 [size =\"6483968\"]\n  16 -> 27 [size =\"6483968\"]\n  16 -> 29 [size =\"6483968\"]\n  16 -> 30 [size =\"6483968\"]\n  16 -> 33 [size =\"6483968\"]\n  17 [size=\"56764416\", alpha=\"0.05\", expect_size=\"28382208\"] \n  17 -> 26 [size =\"28382208\"]\n  17 -> 27 [size =\"28382208\"]\n  17 -> 28 [size =\"28382208\"]\n  17 -> 30 [size =\"28382208\"]\n  18 [size=\"25079808\", alpha=\"0.02\", expect_size=\"12539904\"] \n  18 -> 26 [size =\"12539904\"]\n  18 -> 31 [size =\"12539904\"]\n  18 -> 32 [size =\"12539904\"]\n  19 [size=\"86587392\", alpha=\"0.13\", expect_size=\"43293696\"] \n  19 -> 26 [size =\"43293696\"]\n  19 -> 29 [size =\"43293696\"]\n  19 -> 32 [size =\"43293696\"]\n  19 -> 33 [size =\"43293696\"]\n  20 [size=\"80236544\", alpha=\"0.03\", expect_size=\"40118272\"] \n  20 -> 25 [size =\"40118272\"]\n  20 -> 30 [size =\"40118272\"]\n  20 -> 31 [size =\"40118272\"]\n  21 [size=\"34887680\", alpha=\"0.13\", expect_size=\"17443840\"] \n  21 -> 27 [size =\"17443840\"]\n  21 -> 31 [size =\"17443840\"]\n  21 -> 31 [size =\"17443840\"]\n  22 [size=\"29702144\", alpha=\"0.16\", expect_size=\"14851072\"] \n  22 -> 26 [size =\"14851072\"]\n  22 -> 27 [size =\"14851072\"]\n  22 -> 31 [size =\"14851072\"]\n  22 -> 32 [size =\"14851072\"]\n  23 [size=\"60751872\", alpha=\"0.10\", expect_size=\"30375936\"] \n  23 -> 26 [size =\"30375936\"]\n  23 -> 27 [size =\"30375936\"]\n  23 -> 28 [size =\"30375936\"]\n  23 -> 29 [size =\"30375936\"]\n  23 -> 31 [size =\"30375936\"]\n  23 -> 32 [size =\"30375936\"]\n  23 -> 33 [size =\"30375936\"]\n  24 [size=\"90105856\", alpha=\"0.02\", expect_size=\"45052928\"] \n  24 -> 26 [size =\"45052928\"]\n  24 -> 29 [size =\"45052928\"]\n  24 -> 31 [size =\"45052928\"]\n  24 -> 32 [size =\"45052928\"]\n  24 -> 33 [size =\"45052928\"]\n  25 [size=\"78938112\", alpha=\"0.00\", expect_size=\"39469056\"] \n  26 [size=\"92874752\", alpha=\"0.06\", expect_size=\"46437376\"] \n  27 [size=\"59049984\", alpha=\"0.15\", expect_size=\"29524992\"] \n  28 [size=\"81082368\", alpha=\"0.17\", expect_size=\"40541184\"] \n  29 [size=\"90753024\", alpha=\"0.10\", expect_size=\"45376512\"] \n  30 [size=\"59230208\", alpha=\"0.18\", expect_size=\"29615104\"] \n  31 [size=\"74838016\", alpha=\"0.12\", expect_size=\"37419008\"] \n  32 [size=\"43231232\", alpha=\"0.11\", expect_size=\"21615616\"] \n  33 [size=\"23943168\", alpha=\"0.10\", expect_size=\"11971584\"] \n  34 [size=\"71208960\", alpha=\"0.07\", expect_size=\"35604480\"] \n  35 [size=\"78872576\", alpha=\"0.20\", expect_size=\"39436288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93844480\", alpha=\"0.07\", expect_size=\"37537792\"] \n  1 -> 7 [size =\"37537792\"]\n  2 [size=\"95377920\", alpha=\"0.10\", expect_size=\"38151168\"] \n  2 -> 6 [size =\"38151168\"]\n  2 -> 8 [size =\"38151168\"]\n  3 [size=\"110051840\", alpha=\"0.02\", expect_size=\"44020736\"] \n  3 -> 8 [size =\"44020736\"]\n  4 [size=\"118208000\", alpha=\"0.16\", expect_size=\"47283200\"] \n  4 -> 5 [size =\"47283200\"]\n  4 -> 7 [size =\"47283200\"]\n  5 [size=\"111157760\", alpha=\"0.01\", expect_size=\"44463104\"] \n  5 -> 11 [size =\"44463104\"]\n  5 -> 13 [size =\"44463104\"]\n  6 [size=\"56002560\", alpha=\"0.12\", expect_size=\"22401024\"] \n  6 -> 13 [size =\"22401024\"]\n  7 [size=\"127260160\", alpha=\"0.02\", expect_size=\"50904064\"] \n  7 -> 9 [size =\"50904064\"]\n  7 -> 10 [size =\"50904064\"]\n  7 -> 12 [size =\"50904064\"]\n  8 [size=\"54108160\", alpha=\"0.08\", expect_size=\"21643264\"] \n  8 -> 11 [size =\"21643264\"]\n  9 [size=\"107855360\", alpha=\"0.20\", expect_size=\"43142144\"] \n  9 -> 15 [size =\"43142144\"]\n  9 -> 16 [size =\"43142144\"]\n  9 -> 18 [size =\"43142144\"]\n  10 [size=\"76520960\", alpha=\"0.02\", expect_size=\"30608384\"] \n  10 -> 16 [size =\"30608384\"]\n  10 -> 17 [size =\"30608384\"]\n  11 [size=\"63943680\", alpha=\"0.15\", expect_size=\"25577472\"] \n  11 -> 17 [size =\"25577472\"]\n  11 -> 18 [size =\"25577472\"]\n  12 [size=\"107617280\", alpha=\"0.12\", expect_size=\"43046912\"] \n  12 -> 14 [size =\"43046912\"]\n  12 -> 16 [size =\"43046912\"]\n  12 -> 17 [size =\"43046912\"]\n  13 [size=\"50081280\", alpha=\"0.06\", expect_size=\"20032512\"] \n  13 -> 15 [size =\"20032512\"]\n  14 [size=\"62115840\", alpha=\"0.13\", expect_size=\"24846336\"] \n  14 -> 19 [size =\"24846336\"]\n  15 [size=\"36889600\", alpha=\"0.17\", expect_size=\"14755840\"] \n  15 -> 19 [size =\"14755840\"]\n  15 -> 22 [size =\"14755840\"]\n  16 [size=\"44902400\", alpha=\"0.04\", expect_size=\"17960960\"] \n  16 -> 20 [size =\"17960960\"]\n  16 -> 21 [size =\"17960960\"]\n  17 [size=\"116615680\", alpha=\"0.13\", expect_size=\"46646272\"] \n  17 -> 20 [size =\"46646272\"]\n  17 -> 23 [size =\"46646272\"]\n  18 [size=\"130152960\", alpha=\"0.07\", expect_size=\"52061184\"] \n  18 -> 19 [size =\"52061184\"]\n  18 -> 21 [size =\"52061184\"]\n  18 -> 23 [size =\"52061184\"]\n  19 [size=\"61434880\", alpha=\"0.14\", expect_size=\"24573952\"] \n  19 -> 25 [size =\"24573952\"]\n  19 -> 26 [size =\"24573952\"]\n  20 [size=\"59345920\", alpha=\"0.12\", expect_size=\"23738368\"] \n  20 -> 27 [size =\"23738368\"]\n  21 [size=\"69621760\", alpha=\"0.04\", expect_size=\"27848704\"] \n  21 -> 26 [size =\"27848704\"]\n  21 -> 28 [size =\"27848704\"]\n  22 [size=\"38594560\", alpha=\"0.09\", expect_size=\"15437824\"] \n  22 -> 24 [size =\"15437824\"]\n  22 -> 25 [size =\"15437824\"]\n  23 [size=\"110369280\", alpha=\"0.12\", expect_size=\"44147712\"] \n  23 -> 24 [size =\"44147712\"]\n  23 -> 25 [size =\"44147712\"]\n  23 -> 26 [size =\"44147712\"]\n  24 [size=\"26803200\", alpha=\"0.12\", expect_size=\"10721280\"] \n  24 -> 29 [size =\"10721280\"]\n  24 -> 32 [size =\"10721280\"]\n  25 [size=\"105768960\", alpha=\"0.08\", expect_size=\"42307584\"] \n  25 -> 31 [size =\"42307584\"]\n  26 [size=\"90060800\", alpha=\"0.12\", expect_size=\"36024320\"] \n  26 -> 30 [size =\"36024320\"]\n  27 [size=\"112655360\", alpha=\"0.15\", expect_size=\"45062144\"] \n  27 -> 32 [size =\"45062144\"]\n  28 [size=\"70417920\", alpha=\"0.05\", expect_size=\"28167168\"] \n  28 -> 29 [size =\"28167168\"]\n  29 [size=\"113881600\", alpha=\"0.11\", expect_size=\"45552640\"] \n  30 [size=\"78448640\", alpha=\"0.08\", expect_size=\"31379456\"] \n  30 -> 35 [size =\"31379456\"]\n  31 [size=\"31513600\", alpha=\"0.14\", expect_size=\"12605440\"] \n  32 [size=\"53811200\", alpha=\"0.16\", expect_size=\"21524480\"] \n  32 -> 33 [size =\"21524480\"]\n  32 -> 34 [size =\"21524480\"]\n  33 [size=\"109649920\", alpha=\"0.03\", expect_size=\"43859968\"] \n  34 [size=\"60047360\", alpha=\"0.20\", expect_size=\"24018944\"] \n  35 [size=\"128069120\", alpha=\"0.20\", expect_size=\"51227648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47249920\", alpha=\"0.18\", expect_size=\"18899968\"] \n  2 [size=\"54097920\", alpha=\"0.20\", expect_size=\"21639168\"] \n  2 -> 3 [size =\"21639168\"]\n  3 [size=\"67985920\", alpha=\"0.05\", expect_size=\"27194368\"] \n  3 -> 4 [size =\"27194368\"]\n  4 [size=\"92802560\", alpha=\"0.07\", expect_size=\"37121024\"] \n  4 -> 5 [size =\"37121024\"]\n  5 [size=\"35392000\", alpha=\"0.07\", expect_size=\"14156800\"] \n  5 -> 6 [size =\"14156800\"]\n  6 [size=\"129256960\", alpha=\"0.15\", expect_size=\"51702784\"] \n  6 -> 7 [size =\"51702784\"]\n  6 -> 8 [size =\"51702784\"]\n  7 [size=\"72803840\", alpha=\"0.07\", expect_size=\"29121536\"] \n  8 [size=\"108802560\", alpha=\"0.06\", expect_size=\"43521024\"] \n  8 -> 9 [size =\"43521024\"]\n  9 [size=\"99310080\", alpha=\"0.09\", expect_size=\"39724032\"] \n  9 -> 10 [size =\"39724032\"]\n  9 -> 11 [size =\"39724032\"]\n  10 [size=\"96463360\", alpha=\"0.18\", expect_size=\"38585344\"] \n  10 -> 13 [size =\"38585344\"]\n  11 [size=\"108943360\", alpha=\"0.10\", expect_size=\"43577344\"] \n  11 -> 12 [size =\"43577344\"]\n  11 -> 13 [size =\"43577344\"]\n  12 [size=\"95628800\", alpha=\"0.06\", expect_size=\"38251520\"] \n  12 -> 14 [size =\"38251520\"]\n  13 [size=\"92707840\", alpha=\"0.12\", expect_size=\"37083136\"] \n  14 [size=\"123048960\", alpha=\"0.03\", expect_size=\"49219584\"] \n  14 -> 15 [size =\"49219584\"]\n  15 [size=\"47554560\", alpha=\"0.00\", expect_size=\"19021824\"] \n  15 -> 16 [size =\"19021824\"]\n  15 -> 17 [size =\"19021824\"]\n  16 [size=\"88145920\", alpha=\"0.04\", expect_size=\"35258368\"] \n  16 -> 18 [size =\"35258368\"]\n  17 [size=\"56796160\", alpha=\"0.11\", expect_size=\"22718464\"] \n  18 [size=\"98265600\", alpha=\"0.01\", expect_size=\"39306240\"] \n  18 -> 19 [size =\"39306240\"]\n  18 -> 20 [size =\"39306240\"]\n  19 [size=\"17914880\", alpha=\"0.05\", expect_size=\"7165952\"] \n  20 [size=\"68828160\", alpha=\"0.06\", expect_size=\"27531264\"] \n  20 -> 21 [size =\"27531264\"]\n  21 [size=\"58101760\", alpha=\"0.13\", expect_size=\"23240704\"] \n  21 -> 22 [size =\"23240704\"]\n  22 [size=\"114813440\", alpha=\"0.07\", expect_size=\"45925376\"] \n  22 -> 23 [size =\"45925376\"]\n  22 -> 24 [size =\"45925376\"]\n  23 [size=\"30725120\", alpha=\"0.10\", expect_size=\"12290048\"] \n  23 -> 25 [size =\"12290048\"]\n  23 -> 26 [size =\"12290048\"]\n  24 [size=\"103252480\", alpha=\"0.06\", expect_size=\"41300992\"] \n  24 -> 25 [size =\"41300992\"]\n  25 [size=\"120898560\", alpha=\"0.07\", expect_size=\"48359424\"] \n  25 -> 28 [size =\"48359424\"]\n  26 [size=\"122506240\", alpha=\"0.07\", expect_size=\"49002496\"] \n  26 -> 27 [size =\"49002496\"]\n  27 [size=\"28101120\", alpha=\"0.17\", expect_size=\"11240448\"] \n  27 -> 29 [size =\"11240448\"]\n  28 [size=\"94538240\", alpha=\"0.03\", expect_size=\"37815296\"] \n  28 -> 29 [size =\"37815296\"]\n  29 [size=\"98414080\", alpha=\"0.04\", expect_size=\"39365632\"] \n  29 -> 30 [size =\"39365632\"]\n  29 -> 31 [size =\"39365632\"]\n  30 [size=\"130398720\", alpha=\"0.19\", expect_size=\"52159488\"] \n  30 -> 32 [size =\"52159488\"]\n  30 -> 33 [size =\"52159488\"]\n  31 [size=\"50214400\", alpha=\"0.11\", expect_size=\"20085760\"] \n  32 [size=\"127936000\", alpha=\"0.16\", expect_size=\"51174400\"] \n  32 -> 34 [size =\"51174400\"]\n  33 [size=\"50659840\", alpha=\"0.15\", expect_size=\"20263936\"] \n  33 -> 34 [size =\"20263936\"]\n  34 [size=\"109194240\", alpha=\"0.12\", expect_size=\"43677696\"] \n  34 -> 35 [size =\"43677696\"]\n  35 [size=\"29345280\", alpha=\"0.16\", expect_size=\"11738112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124794880\", alpha=\"0.17\", expect_size=\"37438464\"] \n  1 -> 14 [size =\"37438464\"]\n  1 -> 18 [size =\"37438464\"]\n  1 -> 19 [size =\"37438464\"]\n  1 -> 21 [size =\"37438464\"]\n  2 [size=\"38591147\", alpha=\"0.02\", expect_size=\"11577344\"] \n  2 -> 14 [size =\"11577344\"]\n  2 -> 18 [size =\"11577344\"]\n  2 -> 20 [size =\"11577344\"]\n  2 -> 21 [size =\"11577344\"]\n  3 [size=\"137673387\", alpha=\"0.08\", expect_size=\"41302016\"] \n  3 -> 17 [size =\"41302016\"]\n  3 -> 19 [size =\"41302016\"]\n  3 -> 21 [size =\"41302016\"]\n  3 -> 21 [size =\"41302016\"]\n  3 -> 22 [size =\"41302016\"]\n  4 [size=\"125112320\", alpha=\"0.07\", expect_size=\"37533696\"] \n  4 -> 14 [size =\"37533696\"]\n  4 -> 17 [size =\"37533696\"]\n  4 -> 19 [size =\"37533696\"]\n  4 -> 22 [size =\"37533696\"]\n  5 [size=\"165055147\", alpha=\"0.01\", expect_size=\"49516544\"] \n  5 -> 17 [size =\"49516544\"]\n  5 -> 20 [size =\"49516544\"]\n  6 [size=\"52217173\", alpha=\"0.17\", expect_size=\"15665152\"] \n  6 -> 14 [size =\"15665152\"]\n  6 -> 15 [size =\"15665152\"]\n  6 -> 16 [size =\"15665152\"]\n  6 -> 17 [size =\"15665152\"]\n  6 -> 18 [size =\"15665152\"]\n  7 [size=\"64047787\", alpha=\"0.16\", expect_size=\"19214336\"] \n  7 -> 14 [size =\"19214336\"]\n  7 -> 15 [size =\"19214336\"]\n  7 -> 18 [size =\"19214336\"]\n  7 -> 20 [size =\"19214336\"]\n  8 [size=\"136113493\", alpha=\"0.18\", expect_size=\"40834048\"] \n  8 -> 15 [size =\"40834048\"]\n  8 -> 15 [size =\"40834048\"]\n  8 -> 16 [size =\"40834048\"]\n  8 -> 19 [size =\"40834048\"]\n  8 -> 21 [size =\"40834048\"]\n  8 -> 24 [size =\"40834048\"]\n  9 [size=\"151343787\", alpha=\"0.14\", expect_size=\"45403136\"] \n  9 -> 15 [size =\"45403136\"]\n  9 -> 19 [size =\"45403136\"]\n  9 -> 22 [size =\"45403136\"]\n  10 [size=\"76943360\", alpha=\"0.18\", expect_size=\"23083008\"] \n  10 -> 16 [size =\"23083008\"]\n  10 -> 17 [size =\"23083008\"]\n  10 -> 18 [size =\"23083008\"]\n  10 -> 19 [size =\"23083008\"]\n  10 -> 22 [size =\"23083008\"]\n  11 [size=\"110940160\", alpha=\"0.16\", expect_size=\"33282048\"] \n  11 -> 14 [size =\"33282048\"]\n  11 -> 15 [size =\"33282048\"]\n  11 -> 17 [size =\"33282048\"]\n  11 -> 22 [size =\"33282048\"]\n  11 -> 23 [size =\"33282048\"]\n  12 [size=\"88780800\", alpha=\"0.18\", expect_size=\"26634240\"] \n  12 -> 14 [size =\"26634240\"]\n  12 -> 15 [size =\"26634240\"]\n  12 -> 17 [size =\"26634240\"]\n  12 -> 19 [size =\"26634240\"]\n  12 -> 22 [size =\"26634240\"]\n  13 [size=\"102188373\", alpha=\"0.11\", expect_size=\"30656512\"] \n  13 -> 14 [size =\"30656512\"]\n  13 -> 17 [size =\"30656512\"]\n  13 -> 22 [size =\"30656512\"]\n  13 -> 24 [size =\"30656512\"]\n  14 [size=\"164372480\", alpha=\"0.19\", expect_size=\"49311744\"] \n  14 -> 29 [size =\"49311744\"]\n  14 -> 30 [size =\"49311744\"]\n  14 -> 34 [size =\"49311744\"]\n  15 [size=\"64040960\", alpha=\"0.18\", expect_size=\"19212288\"] \n  15 -> 28 [size =\"19212288\"]\n  15 -> 29 [size =\"19212288\"]\n  15 -> 31 [size =\"19212288\"]\n  15 -> 32 [size =\"19212288\"]\n  15 -> 33 [size =\"19212288\"]\n  16 [size=\"73089707\", alpha=\"0.08\", expect_size=\"21926912\"] \n  16 -> 26 [size =\"21926912\"]\n  16 -> 27 [size =\"21926912\"]\n  16 -> 28 [size =\"21926912\"]\n  16 -> 29 [size =\"21926912\"]\n  16 -> 31 [size =\"21926912\"]\n  16 -> 34 [size =\"21926912\"]\n  16 -> 35 [size =\"21926912\"]\n  17 [size=\"46336000\", alpha=\"0.01\", expect_size=\"13900800\"] \n  17 -> 27 [size =\"13900800\"]\n  17 -> 33 [size =\"13900800\"]\n  17 -> 34 [size =\"13900800\"]\n  18 [size=\"172984320\", alpha=\"0.01\", expect_size=\"51895296\"] \n  18 -> 28 [size =\"51895296\"]\n  18 -> 34 [size =\"51895296\"]\n  19 [size=\"154313387\", alpha=\"0.10\", expect_size=\"46294016\"] \n  19 -> 26 [size =\"46294016\"]\n  19 -> 27 [size =\"46294016\"]\n  19 -> 28 [size =\"46294016\"]\n  19 -> 29 [size =\"46294016\"]\n  19 -> 31 [size =\"46294016\"]\n  20 [size=\"109103787\", alpha=\"0.17\", expect_size=\"32731136\"] \n  20 -> 26 [size =\"32731136\"]\n  20 -> 27 [size =\"32731136\"]\n  20 -> 28 [size =\"32731136\"]\n  20 -> 33 [size =\"32731136\"]\n  21 [size=\"95276373\", alpha=\"0.18\", expect_size=\"28582912\"] \n  21 -> 26 [size =\"28582912\"]\n  21 -> 28 [size =\"28582912\"]\n  21 -> 34 [size =\"28582912\"]\n  22 [size=\"63508480\", alpha=\"0.02\", expect_size=\"19052544\"] \n  22 -> 33 [size =\"19052544\"]\n  23 [size=\"45434880\", alpha=\"0.01\", expect_size=\"13630464\"] \n  23 -> 25 [size =\"13630464\"]\n  23 -> 26 [size =\"13630464\"]\n  23 -> 29 [size =\"13630464\"]\n  23 -> 30 [size =\"13630464\"]\n  23 -> 33 [size =\"13630464\"]\n  23 -> 34 [size =\"13630464\"]\n  23 -> 35 [size =\"13630464\"]\n  24 [size=\"134782293\", alpha=\"0.13\", expect_size=\"40434688\"] \n  24 -> 26 [size =\"40434688\"]\n  24 -> 27 [size =\"40434688\"]\n  24 -> 29 [size =\"40434688\"]\n  24 -> 30 [size =\"40434688\"]\n  24 -> 31 [size =\"40434688\"]\n  24 -> 33 [size =\"40434688\"]\n  24 -> 34 [size =\"40434688\"]\n  25 [size=\"129167360\", alpha=\"0.05\", expect_size=\"38750208\"] \n  26 [size=\"115554987\", alpha=\"0.00\", expect_size=\"34666496\"] \n  27 [size=\"23521280\", alpha=\"0.02\", expect_size=\"7056384\"] \n  28 [size=\"32723627\", alpha=\"0.19\", expect_size=\"9817088\"] \n  29 [size=\"41489067\", alpha=\"0.12\", expect_size=\"12446720\"] \n  30 [size=\"120128853\", alpha=\"0.14\", expect_size=\"36038656\"] \n  31 [size=\"98549760\", alpha=\"0.07\", expect_size=\"29564928\"] \n  32 [size=\"84077227\", alpha=\"0.09\", expect_size=\"25223168\"] \n  33 [size=\"97819307\", alpha=\"0.02\", expect_size=\"29345792\"] \n  34 [size=\"102690133\", alpha=\"0.14\", expect_size=\"30807040\"] \n  35 [size=\"49046187\", alpha=\"0.12\", expect_size=\"14713856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95965184\", alpha=\"0.18\", expect_size=\"47982592\"] \n  1 -> 6 [size =\"47982592\"]\n  1 -> 8 [size =\"47982592\"]\n  1 -> 9 [size =\"47982592\"]\n  2 [size=\"42995712\", alpha=\"0.14\", expect_size=\"21497856\"] \n  2 -> 6 [size =\"21497856\"]\n  2 -> 8 [size =\"21497856\"]\n  2 -> 9 [size =\"21497856\"]\n  3 [size=\"37646336\", alpha=\"0.17\", expect_size=\"18823168\"] \n  3 -> 6 [size =\"18823168\"]\n  3 -> 8 [size =\"18823168\"]\n  4 [size=\"99923968\", alpha=\"0.19\", expect_size=\"49961984\"] \n  4 -> 6 [size =\"49961984\"]\n  4 -> 7 [size =\"49961984\"]\n  4 -> 8 [size =\"49961984\"]\n  5 [size=\"69038080\", alpha=\"0.08\", expect_size=\"34519040\"] \n  5 -> 6 [size =\"34519040\"]\n  5 -> 8 [size =\"34519040\"]\n  6 [size=\"90517504\", alpha=\"0.10\", expect_size=\"45258752\"] \n  6 -> 10 [size =\"45258752\"]\n  6 -> 13 [size =\"45258752\"]\n  7 [size=\"39436288\", alpha=\"0.20\", expect_size=\"19718144\"] \n  7 -> 10 [size =\"19718144\"]\n  7 -> 12 [size =\"19718144\"]\n  7 -> 13 [size =\"19718144\"]\n  8 [size=\"20207616\", alpha=\"0.14\", expect_size=\"10103808\"] \n  8 -> 11 [size =\"10103808\"]\n  8 -> 13 [size =\"10103808\"]\n  9 [size=\"30386176\", alpha=\"0.11\", expect_size=\"15193088\"] \n  9 -> 10 [size =\"15193088\"]\n  9 -> 11 [size =\"15193088\"]\n  9 -> 13 [size =\"15193088\"]\n  10 [size=\"74770432\", alpha=\"0.12\", expect_size=\"37385216\"] \n  10 -> 14 [size =\"37385216\"]\n  10 -> 16 [size =\"37385216\"]\n  11 [size=\"81672192\", alpha=\"0.02\", expect_size=\"40836096\"] \n  11 -> 14 [size =\"40836096\"]\n  11 -> 15 [size =\"40836096\"]\n  11 -> 17 [size =\"40836096\"]\n  11 -> 18 [size =\"40836096\"]\n  12 [size=\"72943616\", alpha=\"0.01\", expect_size=\"36471808\"] \n  12 -> 14 [size =\"36471808\"]\n  12 -> 15 [size =\"36471808\"]\n  12 -> 16 [size =\"36471808\"]\n  12 -> 17 [size =\"36471808\"]\n  12 -> 18 [size =\"36471808\"]\n  13 [size=\"46372864\", alpha=\"0.02\", expect_size=\"23186432\"] \n  13 -> 14 [size =\"23186432\"]\n  13 -> 16 [size =\"23186432\"]\n  13 -> 16 [size =\"23186432\"]\n  14 [size=\"30058496\", alpha=\"0.15\", expect_size=\"15029248\"] \n  14 -> 19 [size =\"15029248\"]\n  14 -> 20 [size =\"15029248\"]\n  14 -> 21 [size =\"15029248\"]\n  15 [size=\"23611392\", alpha=\"0.03\", expect_size=\"11805696\"] \n  15 -> 19 [size =\"11805696\"]\n  15 -> 20 [size =\"11805696\"]\n  15 -> 22 [size =\"11805696\"]\n  16 [size=\"59160576\", alpha=\"0.08\", expect_size=\"29580288\"] \n  16 -> 22 [size =\"29580288\"]\n  17 [size=\"14034944\", alpha=\"0.12\", expect_size=\"7017472\"] \n  17 -> 20 [size =\"7017472\"]\n  18 [size=\"12189696\", alpha=\"0.06\", expect_size=\"6094848\"] \n  18 -> 19 [size =\"6094848\"]\n  18 -> 20 [size =\"6094848\"]\n  19 [size=\"79685632\", alpha=\"0.06\", expect_size=\"39842816\"] \n  19 -> 23 [size =\"39842816\"]\n  19 -> 25 [size =\"39842816\"]\n  19 -> 26 [size =\"39842816\"]\n  19 -> 27 [size =\"39842816\"]\n  20 [size=\"38035456\", alpha=\"0.05\", expect_size=\"19017728\"] \n  20 -> 23 [size =\"19017728\"]\n  20 -> 25 [size =\"19017728\"]\n  20 -> 27 [size =\"19017728\"]\n  21 [size=\"95170560\", alpha=\"0.02\", expect_size=\"47585280\"] \n  21 -> 23 [size =\"47585280\"]\n  21 -> 26 [size =\"47585280\"]\n  21 -> 27 [size =\"47585280\"]\n  22 [size=\"103796736\", alpha=\"0.06\", expect_size=\"51898368\"] \n  22 -> 23 [size =\"51898368\"]\n  22 -> 24 [size =\"51898368\"]\n  22 -> 27 [size =\"51898368\"]\n  23 [size=\"15570944\", alpha=\"0.16\", expect_size=\"7785472\"] \n  23 -> 29 [size =\"7785472\"]\n  23 -> 30 [size =\"7785472\"]\n  24 [size=\"23435264\", alpha=\"0.05\", expect_size=\"11717632\"] \n  24 -> 28 [size =\"11717632\"]\n  24 -> 31 [size =\"11717632\"]\n  25 [size=\"92344320\", alpha=\"0.06\", expect_size=\"46172160\"] \n  25 -> 28 [size =\"46172160\"]\n  25 -> 29 [size =\"46172160\"]\n  25 -> 30 [size =\"46172160\"]\n  25 -> 31 [size =\"46172160\"]\n  26 [size=\"11212800\", alpha=\"0.04\", expect_size=\"5606400\"] \n  26 -> 30 [size =\"5606400\"]\n  26 -> 31 [size =\"5606400\"]\n  27 [size=\"46950400\", alpha=\"0.08\", expect_size=\"23475200\"] \n  27 -> 29 [size =\"23475200\"]\n  27 -> 31 [size =\"23475200\"]\n  28 [size=\"104126464\", alpha=\"0.15\", expect_size=\"52063232\"] \n  28 -> 32 [size =\"52063232\"]\n  28 -> 33 [size =\"52063232\"]\n  28 -> 34 [size =\"52063232\"]\n  28 -> 35 [size =\"52063232\"]\n  29 [size=\"37189632\", alpha=\"0.05\", expect_size=\"18594816\"] \n  29 -> 32 [size =\"18594816\"]\n  29 -> 33 [size =\"18594816\"]\n  29 -> 34 [size =\"18594816\"]\n  29 -> 35 [size =\"18594816\"]\n  30 [size=\"64569344\", alpha=\"0.09\", expect_size=\"32284672\"] \n  30 -> 33 [size =\"32284672\"]\n  30 -> 34 [size =\"32284672\"]\n  30 -> 35 [size =\"32284672\"]\n  31 [size=\"87549952\", alpha=\"0.09\", expect_size=\"43774976\"] \n  31 -> 32 [size =\"43774976\"]\n  31 -> 33 [size =\"43774976\"]\n  31 -> 34 [size =\"43774976\"]\n  31 -> 35 [size =\"43774976\"]\n  32 [size=\"97236992\", alpha=\"0.01\", expect_size=\"48618496\"] \n  33 [size=\"31772672\", alpha=\"0.01\", expect_size=\"15886336\"] \n  34 [size=\"12691456\", alpha=\"0.06\", expect_size=\"6345728\"] \n  35 [size=\"35055616\", alpha=\"0.13\", expect_size=\"17527808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70737920\", alpha=\"0.18\", expect_size=\"28295168\"] \n  1 -> 14 [size =\"28295168\"]\n  2 [size=\"45529600\", alpha=\"0.10\", expect_size=\"18211840\"] \n  2 -> 16 [size =\"18211840\"]\n  2 -> 18 [size =\"18211840\"]\n  3 [size=\"32322560\", alpha=\"0.14\", expect_size=\"12929024\"] \n  3 -> 16 [size =\"12929024\"]\n  3 -> 18 [size =\"12929024\"]\n  3 -> 20 [size =\"12929024\"]\n  3 -> 22 [size =\"12929024\"]\n  4 [size=\"105779200\", alpha=\"0.16\", expect_size=\"42311680\"] \n  4 -> 15 [size =\"42311680\"]\n  4 -> 16 [size =\"42311680\"]\n  4 -> 17 [size =\"42311680\"]\n  4 -> 18 [size =\"42311680\"]\n  4 -> 19 [size =\"42311680\"]\n  4 -> 20 [size =\"42311680\"]\n  5 [size=\"125035520\", alpha=\"0.10\", expect_size=\"50014208\"] \n  5 -> 14 [size =\"50014208\"]\n  5 -> 15 [size =\"50014208\"]\n  5 -> 16 [size =\"50014208\"]\n  5 -> 18 [size =\"50014208\"]\n  6 [size=\"18672640\", alpha=\"0.06\", expect_size=\"7469056\"] \n  7 [size=\"17277440\", alpha=\"0.12\", expect_size=\"6910976\"] \n  7 -> 16 [size =\"6910976\"]\n  7 -> 17 [size =\"6910976\"]\n  7 -> 20 [size =\"6910976\"]\n  8 [size=\"97779200\", alpha=\"0.15\", expect_size=\"39111680\"] \n  8 -> 14 [size =\"39111680\"]\n  8 -> 16 [size =\"39111680\"]\n  9 [size=\"29888000\", alpha=\"0.05\", expect_size=\"11955200\"] \n  9 -> 12 [size =\"11955200\"]\n  9 -> 14 [size =\"11955200\"]\n  9 -> 18 [size =\"11955200\"]\n  9 -> 19 [size =\"11955200\"]\n  9 -> 20 [size =\"11955200\"]\n  9 -> 22 [size =\"11955200\"]\n  10 [size=\"65648640\", alpha=\"0.14\", expect_size=\"26259456\"] \n  10 -> 13 [size =\"26259456\"]\n  10 -> 15 [size =\"26259456\"]\n  10 -> 16 [size =\"26259456\"]\n  10 -> 18 [size =\"26259456\"]\n  10 -> 20 [size =\"26259456\"]\n  10 -> 22 [size =\"26259456\"]\n  11 [size=\"56785920\", alpha=\"0.10\", expect_size=\"22714368\"] \n  11 -> 14 [size =\"22714368\"]\n  11 -> 17 [size =\"22714368\"]\n  11 -> 18 [size =\"22714368\"]\n  11 -> 21 [size =\"22714368\"]\n  11 -> 22 [size =\"22714368\"]\n  12 [size=\"45140480\", alpha=\"0.14\", expect_size=\"18056192\"] \n  12 -> 24 [size =\"18056192\"]\n  12 -> 30 [size =\"18056192\"]\n  13 [size=\"106862080\", alpha=\"0.02\", expect_size=\"42744832\"] \n  13 -> 27 [size =\"42744832\"]\n  14 [size=\"68587520\", alpha=\"0.09\", expect_size=\"27435008\"] \n  14 -> 29 [size =\"27435008\"]\n  14 -> 34 [size =\"27435008\"]\n  15 [size=\"42539520\", alpha=\"0.13\", expect_size=\"17015808\"] \n  15 -> 25 [size =\"17015808\"]\n  15 -> 29 [size =\"17015808\"]\n  15 -> 33 [size =\"17015808\"]\n  15 -> 34 [size =\"17015808\"]\n  16 [size=\"99799040\", alpha=\"0.08\", expect_size=\"39919616\"] \n  16 -> 27 [size =\"39919616\"]\n  16 -> 32 [size =\"39919616\"]\n  17 [size=\"14318080\", alpha=\"0.14\", expect_size=\"5727232\"] \n  17 -> 25 [size =\"5727232\"]\n  17 -> 27 [size =\"5727232\"]\n  17 -> 31 [size =\"5727232\"]\n  17 -> 34 [size =\"5727232\"]\n  18 [size=\"85299200\", alpha=\"0.14\", expect_size=\"34119680\"] \n  18 -> 24 [size =\"34119680\"]\n  18 -> 31 [size =\"34119680\"]\n  19 [size=\"54520320\", alpha=\"0.17\", expect_size=\"21808128\"] \n  19 -> 28 [size =\"21808128\"]\n  19 -> 29 [size =\"21808128\"]\n  19 -> 30 [size =\"21808128\"]\n  19 -> 31 [size =\"21808128\"]\n  19 -> 35 [size =\"21808128\"]\n  20 [size=\"83422720\", alpha=\"0.10\", expect_size=\"33369088\"] \n  20 -> 23 [size =\"33369088\"]\n  20 -> 24 [size =\"33369088\"]\n  20 -> 27 [size =\"33369088\"]\n  20 -> 29 [size =\"33369088\"]\n  20 -> 31 [size =\"33369088\"]\n  20 -> 34 [size =\"33369088\"]\n  20 -> 35 [size =\"33369088\"]\n  21 [size=\"45772800\", alpha=\"0.12\", expect_size=\"18309120\"] \n  21 -> 27 [size =\"18309120\"]\n  21 -> 29 [size =\"18309120\"]\n  21 -> 31 [size =\"18309120\"]\n  21 -> 34 [size =\"18309120\"]\n  22 [size=\"107276800\", alpha=\"0.00\", expect_size=\"42910720\"] \n  22 -> 24 [size =\"42910720\"]\n  22 -> 26 [size =\"42910720\"]\n  22 -> 30 [size =\"42910720\"]\n  22 -> 31 [size =\"42910720\"]\n  22 -> 34 [size =\"42910720\"]\n  23 [size=\"70376960\", alpha=\"0.12\", expect_size=\"28150784\"] \n  24 [size=\"84170240\", alpha=\"0.19\", expect_size=\"33668096\"] \n  25 [size=\"18467840\", alpha=\"0.04\", expect_size=\"7387136\"] \n  26 [size=\"93803520\", alpha=\"0.11\", expect_size=\"37521408\"] \n  27 [size=\"23114240\", alpha=\"0.19\", expect_size=\"9245696\"] \n  28 [size=\"104716800\", alpha=\"0.01\", expect_size=\"41886720\"] \n  29 [size=\"67356160\", alpha=\"0.06\", expect_size=\"26942464\"] \n  30 [size=\"51197440\", alpha=\"0.19\", expect_size=\"20478976\"] \n  31 [size=\"109962240\", alpha=\"0.00\", expect_size=\"43984896\"] \n  32 [size=\"65356800\", alpha=\"0.07\", expect_size=\"26142720\"] \n  33 [size=\"67763200\", alpha=\"0.09\", expect_size=\"27105280\"] \n  34 [size=\"18439680\", alpha=\"0.01\", expect_size=\"7375872\"] \n  35 [size=\"128020480\", alpha=\"0.18\", expect_size=\"51208192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36843520\", alpha=\"0.20\", expect_size=\"14737408\"] \n  1 -> 8 [size =\"14737408\"]\n  1 -> 9 [size =\"14737408\"]\n  2 [size=\"101248000\", alpha=\"0.16\", expect_size=\"40499200\"] \n  2 -> 13 [size =\"40499200\"]\n  2 -> 15 [size =\"40499200\"]\n  2 -> 16 [size =\"40499200\"]\n  3 [size=\"64826880\", alpha=\"0.01\", expect_size=\"25930752\"] \n  3 -> 8 [size =\"25930752\"]\n  3 -> 13 [size =\"25930752\"]\n  3 -> 15 [size =\"25930752\"]\n  3 -> 16 [size =\"25930752\"]\n  4 [size=\"121349120\", alpha=\"0.07\", expect_size=\"48539648\"] \n  4 -> 10 [size =\"48539648\"]\n  4 -> 11 [size =\"48539648\"]\n  4 -> 15 [size =\"48539648\"]\n  4 -> 16 [size =\"48539648\"]\n  5 [size=\"18352640\", alpha=\"0.08\", expect_size=\"7341056\"] \n  5 -> 9 [size =\"7341056\"]\n  5 -> 11 [size =\"7341056\"]\n  5 -> 12 [size =\"7341056\"]\n  5 -> 13 [size =\"7341056\"]\n  5 -> 14 [size =\"7341056\"]\n  5 -> 15 [size =\"7341056\"]\n  6 [size=\"21214720\", alpha=\"0.02\", expect_size=\"8485888\"] \n  6 -> 8 [size =\"8485888\"]\n  6 -> 9 [size =\"8485888\"]\n  6 -> 10 [size =\"8485888\"]\n  6 -> 11 [size =\"8485888\"]\n  6 -> 13 [size =\"8485888\"]\n  6 -> 14 [size =\"8485888\"]\n  7 [size=\"33894400\", alpha=\"0.13\", expect_size=\"13557760\"] \n  7 -> 8 [size =\"13557760\"]\n  7 -> 11 [size =\"13557760\"]\n  8 [size=\"63321600\", alpha=\"0.20\", expect_size=\"25328640\"] \n  8 -> 18 [size =\"25328640\"]\n  8 -> 20 [size =\"25328640\"]\n  8 -> 21 [size =\"25328640\"]\n  8 -> 24 [size =\"25328640\"]\n  8 -> 28 [size =\"25328640\"]\n  9 [size=\"111639040\", alpha=\"0.03\", expect_size=\"44655616\"] \n  9 -> 18 [size =\"44655616\"]\n  9 -> 19 [size =\"44655616\"]\n  9 -> 21 [size =\"44655616\"]\n  9 -> 25 [size =\"44655616\"]\n  9 -> 26 [size =\"44655616\"]\n  10 [size=\"13253120\", alpha=\"0.13\", expect_size=\"5301248\"] \n  10 -> 19 [size =\"5301248\"]\n  10 -> 21 [size =\"5301248\"]\n  11 [size=\"27548160\", alpha=\"0.20\", expect_size=\"11019264\"] \n  11 -> 17 [size =\"11019264\"]\n  11 -> 21 [size =\"11019264\"]\n  11 -> 25 [size =\"11019264\"]\n  11 -> 26 [size =\"11019264\"]\n  12 [size=\"26086400\", alpha=\"0.12\", expect_size=\"10434560\"] \n  12 -> 18 [size =\"10434560\"]\n  12 -> 21 [size =\"10434560\"]\n  12 -> 26 [size =\"10434560\"]\n  13 [size=\"122918400\", alpha=\"0.02\", expect_size=\"49167360\"] \n  13 -> 18 [size =\"49167360\"]\n  13 -> 21 [size =\"49167360\"]\n  13 -> 23 [size =\"49167360\"]\n  13 -> 24 [size =\"49167360\"]\n  13 -> 26 [size =\"49167360\"]\n  14 [size=\"13721600\", alpha=\"0.07\", expect_size=\"5488640\"] \n  14 -> 17 [size =\"5488640\"]\n  14 -> 22 [size =\"5488640\"]\n  14 -> 24 [size =\"5488640\"]\n  14 -> 25 [size =\"5488640\"]\n  14 -> 28 [size =\"5488640\"]\n  15 [size=\"55150080\", alpha=\"0.17\", expect_size=\"22060032\"] \n  15 -> 18 [size =\"22060032\"]\n  15 -> 24 [size =\"22060032\"]\n  16 [size=\"103882240\", alpha=\"0.05\", expect_size=\"41552896\"] \n  16 -> 17 [size =\"41552896\"]\n  16 -> 19 [size =\"41552896\"]\n  16 -> 20 [size =\"41552896\"]\n  16 -> 24 [size =\"41552896\"]\n  16 -> 27 [size =\"41552896\"]\n  16 -> 28 [size =\"41552896\"]\n  17 [size=\"117918720\", alpha=\"0.11\", expect_size=\"47167488\"] \n  17 -> 30 [size =\"47167488\"]\n  17 -> 35 [size =\"47167488\"]\n  18 [size=\"76264960\", alpha=\"0.13\", expect_size=\"30505984\"] \n  18 -> 29 [size =\"30505984\"]\n  18 -> 31 [size =\"30505984\"]\n  19 [size=\"75904000\", alpha=\"0.10\", expect_size=\"30361600\"] \n  19 -> 30 [size =\"30361600\"]\n  19 -> 33 [size =\"30361600\"]\n  19 -> 35 [size =\"30361600\"]\n  20 [size=\"91671040\", alpha=\"0.12\", expect_size=\"36668416\"] \n  20 -> 30 [size =\"36668416\"]\n  21 [size=\"50959360\", alpha=\"0.18\", expect_size=\"20383744\"] \n  21 -> 33 [size =\"20383744\"]\n  21 -> 34 [size =\"20383744\"]\n  21 -> 35 [size =\"20383744\"]\n  22 [size=\"49454080\", alpha=\"0.19\", expect_size=\"19781632\"] \n  22 -> 30 [size =\"19781632\"]\n  22 -> 34 [size =\"19781632\"]\n  23 [size=\"121287680\", alpha=\"0.08\", expect_size=\"48515072\"] \n  23 -> 33 [size =\"48515072\"]\n  24 [size=\"14369280\", alpha=\"0.16\", expect_size=\"5747712\"] \n  24 -> 30 [size =\"5747712\"]\n  24 -> 31 [size =\"5747712\"]\n  24 -> 32 [size =\"5747712\"]\n  24 -> 33 [size =\"5747712\"]\n  25 [size=\"54336000\", alpha=\"0.05\", expect_size=\"21734400\"] \n  25 -> 29 [size =\"21734400\"]\n  25 -> 30 [size =\"21734400\"]\n  25 -> 33 [size =\"21734400\"]\n  26 [size=\"34583040\", alpha=\"0.15\", expect_size=\"13833216\"] \n  26 -> 30 [size =\"13833216\"]\n  26 -> 31 [size =\"13833216\"]\n  26 -> 32 [size =\"13833216\"]\n  27 [size=\"61606400\", alpha=\"0.09\", expect_size=\"24642560\"] \n  27 -> 33 [size =\"24642560\"]\n  27 -> 35 [size =\"24642560\"]\n  28 [size=\"125952000\", alpha=\"0.11\", expect_size=\"50380800\"] \n  28 -> 30 [size =\"50380800\"]\n  28 -> 33 [size =\"50380800\"]\n  29 [size=\"87244800\", alpha=\"0.10\", expect_size=\"34897920\"] \n  30 [size=\"29086720\", alpha=\"0.09\", expect_size=\"11634688\"] \n  31 [size=\"99601920\", alpha=\"0.10\", expect_size=\"39840768\"] \n  32 [size=\"86597120\", alpha=\"0.14\", expect_size=\"34638848\"] \n  33 [size=\"78213120\", alpha=\"0.16\", expect_size=\"31285248\"] \n  34 [size=\"126172160\", alpha=\"0.18\", expect_size=\"50468864\"] \n  35 [size=\"102786560\", alpha=\"0.08\", expect_size=\"41114624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22415360\", alpha=\"0.01\", expect_size=\"11207680\"] \n  1 -> 24 [size =\"11207680\"]\n  1 -> 25 [size =\"11207680\"]\n  1 -> 29 [size =\"11207680\"]\n  1 -> 35 [size =\"11207680\"]\n  2 [size=\"36327424\", alpha=\"0.07\", expect_size=\"18163712\"] \n  2 -> 23 [size =\"18163712\"]\n  2 -> 24 [size =\"18163712\"]\n  2 -> 25 [size =\"18163712\"]\n  2 -> 26 [size =\"18163712\"]\n  2 -> 30 [size =\"18163712\"]\n  2 -> 32 [size =\"18163712\"]\n  2 -> 35 [size =\"18163712\"]\n  3 [size=\"79613952\", alpha=\"0.09\", expect_size=\"39806976\"] \n  3 -> 24 [size =\"39806976\"]\n  3 -> 25 [size =\"39806976\"]\n  3 -> 26 [size =\"39806976\"]\n  3 -> 28 [size =\"39806976\"]\n  3 -> 35 [size =\"39806976\"]\n  4 [size=\"86763520\", alpha=\"0.10\", expect_size=\"43381760\"] \n  4 -> 24 [size =\"43381760\"]\n  4 -> 26 [size =\"43381760\"]\n  4 -> 34 [size =\"43381760\"]\n  4 -> 35 [size =\"43381760\"]\n  5 [size=\"32020480\", alpha=\"0.08\", expect_size=\"16010240\"] \n  5 -> 24 [size =\"16010240\"]\n  6 [size=\"12578816\", alpha=\"0.08\", expect_size=\"6289408\"] \n  6 -> 24 [size =\"6289408\"]\n  6 -> 32 [size =\"6289408\"]\n  6 -> 34 [size =\"6289408\"]\n  7 [size=\"14379008\", alpha=\"0.12\", expect_size=\"7189504\"] \n  7 -> 32 [size =\"7189504\"]\n  7 -> 32 [size =\"7189504\"]\n  7 -> 34 [size =\"7189504\"]\n  7 -> 35 [size =\"7189504\"]\n  8 [size=\"16041984\", alpha=\"0.18\", expect_size=\"8020992\"] \n  8 -> 24 [size =\"8020992\"]\n  8 -> 28 [size =\"8020992\"]\n  8 -> 29 [size =\"8020992\"]\n  8 -> 32 [size =\"8020992\"]\n  8 -> 33 [size =\"8020992\"]\n  9 [size=\"14876672\", alpha=\"0.01\", expect_size=\"7438336\"] \n  9 -> 29 [size =\"7438336\"]\n  9 -> 32 [size =\"7438336\"]\n  9 -> 35 [size =\"7438336\"]\n  10 [size=\"54261760\", alpha=\"0.08\", expect_size=\"27130880\"] \n  10 -> 25 [size =\"27130880\"]\n  10 -> 29 [size =\"27130880\"]\n  10 -> 32 [size =\"27130880\"]\n  10 -> 34 [size =\"27130880\"]\n  11 [size=\"14866432\", alpha=\"0.13\", expect_size=\"7433216\"] \n  11 -> 24 [size =\"7433216\"]\n  11 -> 25 [size =\"7433216\"]\n  11 -> 34 [size =\"7433216\"]\n  12 [size=\"21497856\", alpha=\"0.08\", expect_size=\"10748928\"] \n  12 -> 24 [size =\"10748928\"]\n  12 -> 25 [size =\"10748928\"]\n  12 -> 31 [size =\"10748928\"]\n  12 -> 32 [size =\"10748928\"]\n  12 -> 33 [size =\"10748928\"]\n  13 [size=\"53450752\", alpha=\"0.18\", expect_size=\"26725376\"] \n  13 -> 24 [size =\"26725376\"]\n  13 -> 25 [size =\"26725376\"]\n  13 -> 28 [size =\"26725376\"]\n  13 -> 29 [size =\"26725376\"]\n  13 -> 32 [size =\"26725376\"]\n  13 -> 35 [size =\"26725376\"]\n  14 [size=\"96780288\", alpha=\"0.15\", expect_size=\"48390144\"] \n  14 -> 24 [size =\"48390144\"]\n  14 -> 35 [size =\"48390144\"]\n  15 [size=\"51804160\", alpha=\"0.11\", expect_size=\"25902080\"] \n  15 -> 26 [size =\"25902080\"]\n  15 -> 30 [size =\"25902080\"]\n  15 -> 32 [size =\"25902080\"]\n  16 [size=\"90556416\", alpha=\"0.07\", expect_size=\"45278208\"] \n  16 -> 28 [size =\"45278208\"]\n  16 -> 30 [size =\"45278208\"]\n  16 -> 32 [size =\"45278208\"]\n  16 -> 34 [size =\"45278208\"]\n  16 -> 35 [size =\"45278208\"]\n  17 [size=\"33568768\", alpha=\"0.11\", expect_size=\"16784384\"] \n  17 -> 24 [size =\"16784384\"]\n  17 -> 27 [size =\"16784384\"]\n  17 -> 28 [size =\"16784384\"]\n  17 -> 29 [size =\"16784384\"]\n  17 -> 32 [size =\"16784384\"]\n  17 -> 34 [size =\"16784384\"]\n  18 [size=\"88915968\", alpha=\"0.03\", expect_size=\"44457984\"] \n  19 [size=\"78534656\", alpha=\"0.01\", expect_size=\"39267328\"] \n  19 -> 22 [size =\"39267328\"]\n  19 -> 26 [size =\"39267328\"]\n  19 -> 28 [size =\"39267328\"]\n  19 -> 29 [size =\"39267328\"]\n  19 -> 35 [size =\"39267328\"]\n  20 [size=\"81106944\", alpha=\"0.09\", expect_size=\"40553472\"] \n  20 -> 23 [size =\"40553472\"]\n  20 -> 24 [size =\"40553472\"]\n  20 -> 26 [size =\"40553472\"]\n  20 -> 27 [size =\"40553472\"]\n  20 -> 34 [size =\"40553472\"]\n  20 -> 35 [size =\"40553472\"]\n  21 [size=\"25546752\", alpha=\"0.18\", expect_size=\"12773376\"] \n  21 -> 26 [size =\"12773376\"]\n  21 -> 29 [size =\"12773376\"]\n  21 -> 30 [size =\"12773376\"]\n  21 -> 35 [size =\"12773376\"]\n  22 [size=\"89167872\", alpha=\"0.14\", expect_size=\"44583936\"] \n  23 [size=\"31168512\", alpha=\"0.04\", expect_size=\"15584256\"] \n  24 [size=\"19601408\", alpha=\"0.10\", expect_size=\"9800704\"] \n  25 [size=\"90976256\", alpha=\"0.01\", expect_size=\"45488128\"] \n  26 [size=\"46516224\", alpha=\"0.12\", expect_size=\"23258112\"] \n  27 [size=\"77729792\", alpha=\"0.04\", expect_size=\"38864896\"] \n  28 [size=\"36270080\", alpha=\"0.17\", expect_size=\"18135040\"] \n  29 [size=\"52256768\", alpha=\"0.11\", expect_size=\"26128384\"] \n  30 [size=\"57919488\", alpha=\"0.15\", expect_size=\"28959744\"] \n  31 [size=\"98349056\", alpha=\"0.19\", expect_size=\"49174528\"] \n  32 [size=\"91103232\", alpha=\"0.06\", expect_size=\"45551616\"] \n  33 [size=\"62025728\", alpha=\"0.02\", expect_size=\"31012864\"] \n  34 [size=\"80246784\", alpha=\"0.16\", expect_size=\"40123392\"] \n  35 [size=\"33298432\", alpha=\"0.18\", expect_size=\"16649216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125440000\", alpha=\"0.13\", expect_size=\"50176000\"] \n  1 -> 2 [size =\"50176000\"]\n  2 [size=\"58201600\", alpha=\"0.06\", expect_size=\"23280640\"] \n  2 -> 3 [size =\"23280640\"]\n  3 [size=\"114754560\", alpha=\"0.20\", expect_size=\"45901824\"] \n  3 -> 4 [size =\"45901824\"]\n  4 [size=\"70901760\", alpha=\"0.14\", expect_size=\"28360704\"] \n  4 -> 5 [size =\"28360704\"]\n  5 [size=\"44362240\", alpha=\"0.08\", expect_size=\"17744896\"] \n  5 -> 6 [size =\"17744896\"]\n  6 [size=\"70417920\", alpha=\"0.14\", expect_size=\"28167168\"] \n  6 -> 7 [size =\"28167168\"]\n  7 [size=\"128576000\", alpha=\"0.06\", expect_size=\"51430400\"] \n  7 -> 8 [size =\"51430400\"]\n  8 [size=\"110807040\", alpha=\"0.02\", expect_size=\"44322816\"] \n  8 -> 9 [size =\"44322816\"]\n  9 [size=\"17950720\", alpha=\"0.14\", expect_size=\"7180288\"] \n  9 -> 10 [size =\"7180288\"]\n  10 [size=\"54929920\", alpha=\"0.01\", expect_size=\"21971968\"] \n  10 -> 11 [size =\"21971968\"]\n  11 [size=\"21480960\", alpha=\"0.12\", expect_size=\"8592384\"] \n  11 -> 12 [size =\"8592384\"]\n  12 [size=\"98129920\", alpha=\"0.10\", expect_size=\"39251968\"] \n  12 -> 13 [size =\"39251968\"]\n  13 [size=\"16896000\", alpha=\"0.01\", expect_size=\"6758400\"] \n  13 -> 14 [size =\"6758400\"]\n  14 [size=\"16128000\", alpha=\"0.16\", expect_size=\"6451200\"] \n  14 -> 15 [size =\"6451200\"]\n  15 [size=\"97100800\", alpha=\"0.02\", expect_size=\"38840320\"] \n  15 -> 16 [size =\"38840320\"]\n  16 [size=\"23562240\", alpha=\"0.03\", expect_size=\"9424896\"] \n  16 -> 17 [size =\"9424896\"]\n  17 [size=\"108239360\", alpha=\"0.09\", expect_size=\"43295744\"] \n  17 -> 18 [size =\"43295744\"]\n  18 [size=\"24468480\", alpha=\"0.05\", expect_size=\"9787392\"] \n  18 -> 19 [size =\"9787392\"]\n  19 [size=\"33571840\", alpha=\"0.03\", expect_size=\"13428736\"] \n  19 -> 20 [size =\"13428736\"]\n  20 [size=\"114411520\", alpha=\"0.11\", expect_size=\"45764608\"] \n  20 -> 21 [size =\"45764608\"]\n  21 [size=\"117660160\", alpha=\"0.18\", expect_size=\"47064064\"] \n  21 -> 22 [size =\"47064064\"]\n  22 [size=\"69084160\", alpha=\"0.13\", expect_size=\"27633664\"] \n  22 -> 23 [size =\"27633664\"]\n  23 [size=\"127600640\", alpha=\"0.05\", expect_size=\"51040256\"] \n  23 -> 24 [size =\"51040256\"]\n  24 [size=\"14389760\", alpha=\"0.07\", expect_size=\"5755904\"] \n  24 -> 25 [size =\"5755904\"]\n  25 [size=\"108904960\", alpha=\"0.15\", expect_size=\"43561984\"] \n  25 -> 26 [size =\"43561984\"]\n  26 [size=\"122949120\", alpha=\"0.12\", expect_size=\"49179648\"] \n  26 -> 27 [size =\"49179648\"]\n  27 [size=\"20336640\", alpha=\"0.08\", expect_size=\"8134656\"] \n  27 -> 28 [size =\"8134656\"]\n  28 [size=\"73505280\", alpha=\"0.01\", expect_size=\"29402112\"] \n  28 -> 29 [size =\"29402112\"]\n  29 [size=\"102648320\", alpha=\"0.15\", expect_size=\"41059328\"] \n  29 -> 30 [size =\"41059328\"]\n  30 [size=\"119859200\", alpha=\"0.16\", expect_size=\"47943680\"] \n  30 -> 31 [size =\"47943680\"]\n  31 [size=\"67637760\", alpha=\"0.19\", expect_size=\"27055104\"] \n  31 -> 32 [size =\"27055104\"]\n  32 [size=\"58316800\", alpha=\"0.16\", expect_size=\"23326720\"] \n  32 -> 33 [size =\"23326720\"]\n  33 [size=\"19025920\", alpha=\"0.13\", expect_size=\"7610368\"] \n  33 -> 34 [size =\"7610368\"]\n  34 [size=\"51420160\", alpha=\"0.11\", expect_size=\"20568064\"] \n  34 -> 35 [size =\"20568064\"]\n  35 [size=\"95321600\", alpha=\"0.03\", expect_size=\"38128640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89669632\", alpha=\"0.06\", expect_size=\"44834816\"] \n  1 -> 27 [size =\"44834816\"]\n  1 -> 30 [size =\"44834816\"]\n  1 -> 34 [size =\"44834816\"]\n  2 [size=\"72732672\", alpha=\"0.00\", expect_size=\"36366336\"] \n  2 -> 25 [size =\"36366336\"]\n  2 -> 27 [size =\"36366336\"]\n  2 -> 33 [size =\"36366336\"]\n  3 [size=\"53653504\", alpha=\"0.20\", expect_size=\"26826752\"] \n  3 -> 27 [size =\"26826752\"]\n  3 -> 28 [size =\"26826752\"]\n  3 -> 33 [size =\"26826752\"]\n  3 -> 35 [size =\"26826752\"]\n  4 [size=\"53835776\", alpha=\"0.15\", expect_size=\"26917888\"] \n  4 -> 28 [size =\"26917888\"]\n  4 -> 30 [size =\"26917888\"]\n  4 -> 32 [size =\"26917888\"]\n  5 [size=\"76431360\", alpha=\"0.03\", expect_size=\"38215680\"] \n  5 -> 25 [size =\"38215680\"]\n  5 -> 28 [size =\"38215680\"]\n  5 -> 32 [size =\"38215680\"]\n  5 -> 34 [size =\"38215680\"]\n  6 [size=\"65613824\", alpha=\"0.01\", expect_size=\"32806912\"] \n  6 -> 25 [size =\"32806912\"]\n  6 -> 26 [size =\"32806912\"]\n  6 -> 27 [size =\"32806912\"]\n  6 -> 28 [size =\"32806912\"]\n  6 -> 29 [size =\"32806912\"]\n  6 -> 34 [size =\"32806912\"]\n  7 [size=\"89423872\", alpha=\"0.18\", expect_size=\"44711936\"] \n  7 -> 25 [size =\"44711936\"]\n  7 -> 26 [size =\"44711936\"]\n  7 -> 27 [size =\"44711936\"]\n  7 -> 28 [size =\"44711936\"]\n  7 -> 29 [size =\"44711936\"]\n  7 -> 31 [size =\"44711936\"]\n  8 [size=\"15212544\", alpha=\"0.06\", expect_size=\"7606272\"] \n  8 -> 26 [size =\"7606272\"]\n  8 -> 28 [size =\"7606272\"]\n  8 -> 32 [size =\"7606272\"]\n  9 [size=\"94803968\", alpha=\"0.08\", expect_size=\"47401984\"] \n  9 -> 25 [size =\"47401984\"]\n  9 -> 27 [size =\"47401984\"]\n  9 -> 31 [size =\"47401984\"]\n  9 -> 32 [size =\"47401984\"]\n  9 -> 35 [size =\"47401984\"]\n  10 [size=\"79222784\", alpha=\"0.14\", expect_size=\"39611392\"] \n  10 -> 26 [size =\"39611392\"]\n  10 -> 27 [size =\"39611392\"]\n  10 -> 31 [size =\"39611392\"]\n  10 -> 32 [size =\"39611392\"]\n  10 -> 35 [size =\"39611392\"]\n  11 [size=\"101523456\", alpha=\"0.15\", expect_size=\"50761728\"] \n  11 -> 24 [size =\"50761728\"]\n  11 -> 26 [size =\"50761728\"]\n  11 -> 28 [size =\"50761728\"]\n  11 -> 29 [size =\"50761728\"]\n  11 -> 35 [size =\"50761728\"]\n  12 [size=\"36220928\", alpha=\"0.18\", expect_size=\"18110464\"] \n  12 -> 24 [size =\"18110464\"]\n  12 -> 26 [size =\"18110464\"]\n  12 -> 27 [size =\"18110464\"]\n  12 -> 29 [size =\"18110464\"]\n  12 -> 31 [size =\"18110464\"]\n  12 -> 35 [size =\"18110464\"]\n  13 [size=\"38164480\", alpha=\"0.15\", expect_size=\"19082240\"] \n  13 -> 25 [size =\"19082240\"]\n  13 -> 28 [size =\"19082240\"]\n  14 [size=\"38092800\", alpha=\"0.05\", expect_size=\"19046400\"] \n  14 -> 24 [size =\"19046400\"]\n  14 -> 26 [size =\"19046400\"]\n  14 -> 27 [size =\"19046400\"]\n  14 -> 31 [size =\"19046400\"]\n  14 -> 32 [size =\"19046400\"]\n  14 -> 35 [size =\"19046400\"]\n  15 [size=\"12908544\", alpha=\"0.17\", expect_size=\"6454272\"] \n  15 -> 24 [size =\"6454272\"]\n  15 -> 28 [size =\"6454272\"]\n  15 -> 31 [size =\"6454272\"]\n  15 -> 35 [size =\"6454272\"]\n  16 [size=\"26136576\", alpha=\"0.19\", expect_size=\"13068288\"] \n  16 -> 25 [size =\"13068288\"]\n  16 -> 29 [size =\"13068288\"]\n  16 -> 31 [size =\"13068288\"]\n  16 -> 35 [size =\"13068288\"]\n  17 [size=\"30590976\", alpha=\"0.18\", expect_size=\"15295488\"] \n  17 -> 24 [size =\"15295488\"]\n  17 -> 25 [size =\"15295488\"]\n  17 -> 31 [size =\"15295488\"]\n  17 -> 34 [size =\"15295488\"]\n  18 [size=\"21360640\", alpha=\"0.19\", expect_size=\"10680320\"] \n  18 -> 24 [size =\"10680320\"]\n  18 -> 32 [size =\"10680320\"]\n  18 -> 35 [size =\"10680320\"]\n  19 [size=\"50857984\", alpha=\"0.02\", expect_size=\"25428992\"] \n  19 -> 26 [size =\"25428992\"]\n  19 -> 32 [size =\"25428992\"]\n  20 [size=\"88963072\", alpha=\"0.09\", expect_size=\"44481536\"] \n  20 -> 24 [size =\"44481536\"]\n  20 -> 25 [size =\"44481536\"]\n  20 -> 26 [size =\"44481536\"]\n  20 -> 28 [size =\"44481536\"]\n  20 -> 29 [size =\"44481536\"]\n  20 -> 33 [size =\"44481536\"]\n  21 [size=\"62779392\", alpha=\"0.13\", expect_size=\"31389696\"] \n  21 -> 25 [size =\"31389696\"]\n  21 -> 27 [size =\"31389696\"]\n  21 -> 28 [size =\"31389696\"]\n  21 -> 29 [size =\"31389696\"]\n  21 -> 31 [size =\"31389696\"]\n  22 [size=\"40820736\", alpha=\"0.09\", expect_size=\"20410368\"] \n  22 -> 24 [size =\"20410368\"]\n  22 -> 26 [size =\"20410368\"]\n  22 -> 30 [size =\"20410368\"]\n  22 -> 31 [size =\"20410368\"]\n  22 -> 35 [size =\"20410368\"]\n  23 [size=\"33697792\", alpha=\"0.15\", expect_size=\"16848896\"] \n  23 -> 25 [size =\"16848896\"]\n  23 -> 28 [size =\"16848896\"]\n  23 -> 30 [size =\"16848896\"]\n  23 -> 31 [size =\"16848896\"]\n  24 [size=\"10813440\", alpha=\"0.11\", expect_size=\"5406720\"] \n  25 [size=\"33890304\", alpha=\"0.20\", expect_size=\"16945152\"] \n  26 [size=\"20600832\", alpha=\"0.01\", expect_size=\"10300416\"] \n  27 [size=\"14796800\", alpha=\"0.18\", expect_size=\"7398400\"] \n  28 [size=\"98891776\", alpha=\"0.17\", expect_size=\"49445888\"] \n  29 [size=\"91842560\", alpha=\"0.13\", expect_size=\"45921280\"] \n  30 [size=\"101906432\", alpha=\"0.04\", expect_size=\"50953216\"] \n  31 [size=\"49973248\", alpha=\"0.14\", expect_size=\"24986624\"] \n  32 [size=\"15228928\", alpha=\"0.10\", expect_size=\"7614464\"] \n  33 [size=\"59920384\", alpha=\"0.12\", expect_size=\"29960192\"] \n  34 [size=\"38473728\", alpha=\"0.19\", expect_size=\"19236864\"] \n  35 [size=\"88610816\", alpha=\"0.07\", expect_size=\"44305408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12085248\", alpha=\"0.06\", expect_size=\"6042624\"] \n  1 -> 7 [size =\"6042624\"]\n  1 -> 8 [size =\"6042624\"]\n  1 -> 9 [size =\"6042624\"]\n  2 [size=\"39471104\", alpha=\"0.04\", expect_size=\"19735552\"] \n  2 -> 6 [size =\"19735552\"]\n  2 -> 8 [size =\"19735552\"]\n  3 [size=\"62844928\", alpha=\"0.03\", expect_size=\"31422464\"] \n  3 -> 6 [size =\"31422464\"]\n  4 [size=\"56793088\", alpha=\"0.00\", expect_size=\"28396544\"] \n  4 -> 6 [size =\"28396544\"]\n  4 -> 7 [size =\"28396544\"]\n  5 [size=\"66234368\", alpha=\"0.06\", expect_size=\"33117184\"] \n  5 -> 8 [size =\"33117184\"]\n  5 -> 9 [size =\"33117184\"]\n  6 [size=\"60368896\", alpha=\"0.17\", expect_size=\"30184448\"] \n  6 -> 10 [size =\"30184448\"]\n  6 -> 11 [size =\"30184448\"]\n  6 -> 13 [size =\"30184448\"]\n  7 [size=\"68421632\", alpha=\"0.18\", expect_size=\"34210816\"] \n  7 -> 10 [size =\"34210816\"]\n  7 -> 11 [size =\"34210816\"]\n  7 -> 12 [size =\"34210816\"]\n  8 [size=\"22198272\", alpha=\"0.19\", expect_size=\"11099136\"] \n  8 -> 10 [size =\"11099136\"]\n  9 [size=\"64948224\", alpha=\"0.03\", expect_size=\"32474112\"] \n  10 [size=\"75450368\", alpha=\"0.05\", expect_size=\"37725184\"] \n  10 -> 14 [size =\"37725184\"]\n  10 -> 17 [size =\"37725184\"]\n  11 [size=\"83011584\", alpha=\"0.16\", expect_size=\"41505792\"] \n  11 -> 14 [size =\"41505792\"]\n  11 -> 16 [size =\"41505792\"]\n  11 -> 17 [size =\"41505792\"]\n  12 [size=\"16652288\", alpha=\"0.03\", expect_size=\"8326144\"] \n  12 -> 15 [size =\"8326144\"]\n  12 -> 16 [size =\"8326144\"]\n  13 [size=\"35334144\", alpha=\"0.13\", expect_size=\"17667072\"] \n  13 -> 14 [size =\"17667072\"]\n  13 -> 16 [size =\"17667072\"]\n  14 [size=\"47732736\", alpha=\"0.01\", expect_size=\"23866368\"] \n  14 -> 18 [size =\"23866368\"]\n  15 [size=\"48025600\", alpha=\"0.08\", expect_size=\"24012800\"] \n  15 -> 19 [size =\"24012800\"]\n  15 -> 21 [size =\"24012800\"]\n  16 [size=\"78043136\", alpha=\"0.14\", expect_size=\"39021568\"] \n  16 -> 21 [size =\"39021568\"]\n  17 [size=\"63258624\", alpha=\"0.07\", expect_size=\"31629312\"] \n  17 -> 19 [size =\"31629312\"]\n  17 -> 20 [size =\"31629312\"]\n  18 [size=\"53055488\", alpha=\"0.10\", expect_size=\"26527744\"] \n  18 -> 24 [size =\"26527744\"]\n  18 -> 25 [size =\"26527744\"]\n  19 [size=\"49369088\", alpha=\"0.17\", expect_size=\"24684544\"] \n  19 -> 22 [size =\"24684544\"]\n  19 -> 23 [size =\"24684544\"]\n  19 -> 24 [size =\"24684544\"]\n  19 -> 25 [size =\"24684544\"]\n  20 [size=\"63059968\", alpha=\"0.12\", expect_size=\"31529984\"] \n  20 -> 22 [size =\"31529984\"]\n  21 [size=\"88107008\", alpha=\"0.08\", expect_size=\"44053504\"] \n  21 -> 23 [size =\"44053504\"]\n  21 -> 24 [size =\"44053504\"]\n  22 [size=\"68800512\", alpha=\"0.10\", expect_size=\"34400256\"] \n  22 -> 26 [size =\"34400256\"]\n  22 -> 27 [size =\"34400256\"]\n  22 -> 28 [size =\"34400256\"]\n  23 [size=\"82626560\", alpha=\"0.02\", expect_size=\"41313280\"] \n  23 -> 26 [size =\"41313280\"]\n  23 -> 27 [size =\"41313280\"]\n  23 -> 28 [size =\"41313280\"]\n  24 [size=\"51245056\", alpha=\"0.05\", expect_size=\"25622528\"] \n  24 -> 28 [size =\"25622528\"]\n  25 [size=\"56893440\", alpha=\"0.19\", expect_size=\"28446720\"] \n  25 -> 26 [size =\"28446720\"]\n  25 -> 29 [size =\"28446720\"]\n  26 [size=\"94068736\", alpha=\"0.04\", expect_size=\"47034368\"] \n  26 -> 32 [size =\"47034368\"]\n  27 [size=\"65490944\", alpha=\"0.01\", expect_size=\"32745472\"] \n  27 -> 30 [size =\"32745472\"]\n  27 -> 31 [size =\"32745472\"]\n  27 -> 32 [size =\"32745472\"]\n  27 -> 33 [size =\"32745472\"]\n  28 [size=\"96165888\", alpha=\"0.01\", expect_size=\"48082944\"] \n  28 -> 30 [size =\"48082944\"]\n  28 -> 31 [size =\"48082944\"]\n  28 -> 33 [size =\"48082944\"]\n  29 [size=\"48685056\", alpha=\"0.12\", expect_size=\"24342528\"] \n  30 [size=\"35833856\", alpha=\"0.17\", expect_size=\"17916928\"] \n  30 -> 34 [size =\"17916928\"]\n  31 [size=\"94554112\", alpha=\"0.18\", expect_size=\"47277056\"] \n  32 [size=\"37705728\", alpha=\"0.20\", expect_size=\"18852864\"] \n  32 -> 35 [size =\"18852864\"]\n  33 [size=\"83015680\", alpha=\"0.06\", expect_size=\"41507840\"] \n  33 -> 34 [size =\"41507840\"]\n  33 -> 35 [size =\"41507840\"]\n  34 [size=\"94101504\", alpha=\"0.01\", expect_size=\"47050752\"] \n  35 [size=\"22900736\", alpha=\"0.04\", expect_size=\"11450368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62115840\", alpha=\"0.12\", expect_size=\"31057920\"] \n  1 -> 14 [size =\"31057920\"]\n  1 -> 18 [size =\"31057920\"]\n  1 -> 20 [size =\"31057920\"]\n  1 -> 21 [size =\"31057920\"]\n  2 [size=\"76937216\", alpha=\"0.04\", expect_size=\"38468608\"] \n  2 -> 14 [size =\"38468608\"]\n  2 -> 17 [size =\"38468608\"]\n  2 -> 19 [size =\"38468608\"]\n  2 -> 23 [size =\"38468608\"]\n  3 [size=\"61560832\", alpha=\"0.12\", expect_size=\"30780416\"] \n  4 [size=\"99682304\", alpha=\"0.09\", expect_size=\"49841152\"] \n  4 -> 15 [size =\"49841152\"]\n  4 -> 19 [size =\"49841152\"]\n  4 -> 22 [size =\"49841152\"]\n  4 -> 23 [size =\"49841152\"]\n  5 [size=\"45643776\", alpha=\"0.17\", expect_size=\"22821888\"] \n  5 -> 14 [size =\"22821888\"]\n  5 -> 17 [size =\"22821888\"]\n  5 -> 22 [size =\"22821888\"]\n  6 [size=\"29536256\", alpha=\"0.14\", expect_size=\"14768128\"] \n  6 -> 14 [size =\"14768128\"]\n  6 -> 15 [size =\"14768128\"]\n  6 -> 16 [size =\"14768128\"]\n  6 -> 17 [size =\"14768128\"]\n  6 -> 22 [size =\"14768128\"]\n  6 -> 23 [size =\"14768128\"]\n  7 [size=\"78659584\", alpha=\"0.19\", expect_size=\"39329792\"] \n  7 -> 15 [size =\"39329792\"]\n  7 -> 17 [size =\"39329792\"]\n  8 [size=\"80396288\", alpha=\"0.10\", expect_size=\"40198144\"] \n  8 -> 14 [size =\"40198144\"]\n  9 [size=\"37607424\", alpha=\"0.07\", expect_size=\"18803712\"] \n  9 -> 14 [size =\"18803712\"]\n  10 [size=\"14514176\", alpha=\"0.08\", expect_size=\"7257088\"] \n  10 -> 18 [size =\"7257088\"]\n  10 -> 20 [size =\"7257088\"]\n  10 -> 22 [size =\"7257088\"]\n  11 [size=\"45557760\", alpha=\"0.09\", expect_size=\"22778880\"] \n  11 -> 13 [size =\"22778880\"]\n  11 -> 17 [size =\"22778880\"]\n  11 -> 22 [size =\"22778880\"]\n  12 [size=\"102737920\", alpha=\"0.02\", expect_size=\"51368960\"] \n  12 -> 16 [size =\"51368960\"]\n  12 -> 17 [size =\"51368960\"]\n  12 -> 22 [size =\"51368960\"]\n  12 -> 23 [size =\"51368960\"]\n  13 [size=\"25106432\", alpha=\"0.15\", expect_size=\"12553216\"] \n  13 -> 24 [size =\"12553216\"]\n  13 -> 29 [size =\"12553216\"]\n  13 -> 32 [size =\"12553216\"]\n  13 -> 33 [size =\"12553216\"]\n  14 [size=\"81661952\", alpha=\"0.08\", expect_size=\"40830976\"] \n  14 -> 24 [size =\"40830976\"]\n  14 -> 26 [size =\"40830976\"]\n  14 -> 28 [size =\"40830976\"]\n  14 -> 29 [size =\"40830976\"]\n  15 [size=\"30871552\", alpha=\"0.01\", expect_size=\"15435776\"] \n  15 -> 26 [size =\"15435776\"]\n  15 -> 27 [size =\"15435776\"]\n  15 -> 28 [size =\"15435776\"]\n  16 [size=\"17932288\", alpha=\"0.14\", expect_size=\"8966144\"] \n  16 -> 25 [size =\"8966144\"]\n  16 -> 27 [size =\"8966144\"]\n  16 -> 30 [size =\"8966144\"]\n  16 -> 32 [size =\"8966144\"]\n  16 -> 33 [size =\"8966144\"]\n  17 [size=\"82354176\", alpha=\"0.05\", expect_size=\"41177088\"] \n  17 -> 31 [size =\"41177088\"]\n  18 [size=\"79384576\", alpha=\"0.20\", expect_size=\"39692288\"] \n  19 [size=\"30554112\", alpha=\"0.10\", expect_size=\"15277056\"] \n  19 -> 27 [size =\"15277056\"]\n  19 -> 28 [size =\"15277056\"]\n  19 -> 29 [size =\"15277056\"]\n  19 -> 33 [size =\"15277056\"]\n  20 [size=\"61712384\", alpha=\"0.08\", expect_size=\"30856192\"] \n  20 -> 24 [size =\"30856192\"]\n  20 -> 27 [size =\"30856192\"]\n  20 -> 28 [size =\"30856192\"]\n  20 -> 29 [size =\"30856192\"]\n  21 [size=\"97968128\", alpha=\"0.16\", expect_size=\"48984064\"] \n  21 -> 27 [size =\"48984064\"]\n  21 -> 27 [size =\"48984064\"]\n  21 -> 29 [size =\"48984064\"]\n  22 [size=\"44378112\", alpha=\"0.19\", expect_size=\"22189056\"] \n  22 -> 32 [size =\"22189056\"]\n  22 -> 33 [size =\"22189056\"]\n  23 [size=\"55463936\", alpha=\"0.13\", expect_size=\"27731968\"] \n  23 -> 24 [size =\"27731968\"]\n  23 -> 26 [size =\"27731968\"]\n  23 -> 30 [size =\"27731968\"]\n  23 -> 31 [size =\"27731968\"]\n  23 -> 33 [size =\"27731968\"]\n  24 [size=\"30107648\", alpha=\"0.05\", expect_size=\"15053824\"] \n  25 [size=\"68286464\", alpha=\"0.05\", expect_size=\"34143232\"] \n  26 [size=\"73482240\", alpha=\"0.10\", expect_size=\"36741120\"] \n  27 [size=\"44390400\", alpha=\"0.08\", expect_size=\"22195200\"] \n  27 -> 35 [size =\"22195200\"]\n  28 [size=\"66920448\", alpha=\"0.01\", expect_size=\"33460224\"] \n  28 -> 34 [size =\"33460224\"]\n  29 [size=\"65558528\", alpha=\"0.00\", expect_size=\"32779264\"] \n  29 -> 35 [size =\"32779264\"]\n  30 [size=\"17033216\", alpha=\"0.00\", expect_size=\"8516608\"] \n  30 -> 35 [size =\"8516608\"]\n  31 [size=\"52627456\", alpha=\"0.08\", expect_size=\"26313728\"] \n  32 [size=\"35225600\", alpha=\"0.15\", expect_size=\"17612800\"] \n  33 [size=\"31283200\", alpha=\"0.05\", expect_size=\"15641600\"] \n  33 -> 34 [size =\"15641600\"]\n  33 -> 35 [size =\"15641600\"]\n  34 [size=\"91873280\", alpha=\"0.10\", expect_size=\"45936640\"] \n  35 [size=\"23078912\", alpha=\"0.19\", expect_size=\"11539456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64559787\", alpha=\"0.14\", expect_size=\"19367936\"] \n  1 -> 3 [size =\"19367936\"]\n  2 [size=\"124187307\", alpha=\"0.10\", expect_size=\"37256192\"] \n  2 -> 4 [size =\"37256192\"]\n  3 [size=\"118507520\", alpha=\"0.09\", expect_size=\"35552256\"] \n  3 -> 5 [size =\"35552256\"]\n  4 [size=\"74489173\", alpha=\"0.09\", expect_size=\"22346752\"] \n  5 [size=\"140342613\", alpha=\"0.05\", expect_size=\"42102784\"] \n  5 -> 6 [size =\"42102784\"]\n  5 -> 7 [size =\"42102784\"]\n  6 [size=\"30010027\", alpha=\"0.03\", expect_size=\"9003008\"] \n  6 -> 8 [size =\"9003008\"]\n  7 [size=\"118947840\", alpha=\"0.11\", expect_size=\"35684352\"] \n  7 -> 8 [size =\"35684352\"]\n  8 [size=\"127627947\", alpha=\"0.18\", expect_size=\"38288384\"] \n  8 -> 9 [size =\"38288384\"]\n  9 [size=\"87319893\", alpha=\"0.04\", expect_size=\"26195968\"] \n  9 -> 10 [size =\"26195968\"]\n  9 -> 11 [size =\"26195968\"]\n  10 [size=\"171509760\", alpha=\"0.10\", expect_size=\"51452928\"] \n  11 [size=\"36235947\", alpha=\"0.09\", expect_size=\"10870784\"] \n  11 -> 12 [size =\"10870784\"]\n  12 [size=\"148520960\", alpha=\"0.16\", expect_size=\"44556288\"] \n  12 -> 13 [size =\"44556288\"]\n  12 -> 14 [size =\"44556288\"]\n  13 [size=\"68314453\", alpha=\"0.08\", expect_size=\"20494336\"] \n  13 -> 15 [size =\"20494336\"]\n  13 -> 16 [size =\"20494336\"]\n  14 [size=\"141574827\", alpha=\"0.03\", expect_size=\"42472448\"] \n  14 -> 16 [size =\"42472448\"]\n  15 [size=\"53387947\", alpha=\"0.08\", expect_size=\"16016384\"] \n  16 [size=\"96242347\", alpha=\"0.08\", expect_size=\"28872704\"] \n  16 -> 17 [size =\"28872704\"]\n  16 -> 18 [size =\"28872704\"]\n  17 [size=\"115961173\", alpha=\"0.18\", expect_size=\"34788352\"] \n  18 [size=\"42762240\", alpha=\"0.01\", expect_size=\"12828672\"] \n  18 -> 19 [size =\"12828672\"]\n  19 [size=\"30866773\", alpha=\"0.18\", expect_size=\"9260032\"] \n  19 -> 20 [size =\"9260032\"]\n  20 [size=\"59805013\", alpha=\"0.10\", expect_size=\"17941504\"] \n  20 -> 21 [size =\"17941504\"]\n  21 [size=\"136448000\", alpha=\"0.08\", expect_size=\"40934400\"] \n  21 -> 22 [size =\"40934400\"]\n  21 -> 23 [size =\"40934400\"]\n  22 [size=\"46697813\", alpha=\"0.00\", expect_size=\"14009344\"] \n  22 -> 24 [size =\"14009344\"]\n  23 [size=\"18350080\", alpha=\"0.05\", expect_size=\"5505024\"] \n  23 -> 24 [size =\"5505024\"]\n  24 [size=\"81527467\", alpha=\"0.17\", expect_size=\"24458240\"] \n  24 -> 25 [size =\"24458240\"]\n  24 -> 26 [size =\"24458240\"]\n  25 [size=\"104516267\", alpha=\"0.05\", expect_size=\"31354880\"] \n  25 -> 28 [size =\"31354880\"]\n  26 [size=\"164918613\", alpha=\"0.14\", expect_size=\"49475584\"] \n  26 -> 27 [size =\"49475584\"]\n  27 [size=\"74106880\", alpha=\"0.16\", expect_size=\"22232064\"] \n  28 [size=\"59023360\", alpha=\"0.13\", expect_size=\"17707008\"] \n  28 -> 29 [size =\"17707008\"]\n  29 [size=\"66590720\", alpha=\"0.18\", expect_size=\"19977216\"] \n  29 -> 30 [size =\"19977216\"]\n  29 -> 31 [size =\"19977216\"]\n  30 [size=\"47465813\", alpha=\"0.02\", expect_size=\"14239744\"] \n  30 -> 33 [size =\"14239744\"]\n  31 [size=\"125887147\", alpha=\"0.09\", expect_size=\"37766144\"] \n  31 -> 32 [size =\"37766144\"]\n  32 [size=\"34379093\", alpha=\"0.13\", expect_size=\"10313728\"] \n  33 [size=\"36928853\", alpha=\"0.03\", expect_size=\"11078656\"] \n  33 -> 34 [size =\"11078656\"]\n  34 [size=\"77291520\", alpha=\"0.09\", expect_size=\"23187456\"] \n  34 -> 35 [size =\"23187456\"]\n  35 [size=\"55193600\", alpha=\"0.20\", expect_size=\"16558080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20361216\", alpha=\"0.00\", expect_size=\"10180608\"] \n  1 -> 2 [size =\"10180608\"]\n  2 [size=\"57010176\", alpha=\"0.11\", expect_size=\"28505088\"] \n  2 -> 3 [size =\"28505088\"]\n  3 [size=\"17733632\", alpha=\"0.15\", expect_size=\"8866816\"] \n  3 -> 4 [size =\"8866816\"]\n  4 [size=\"79802368\", alpha=\"0.11\", expect_size=\"39901184\"] \n  4 -> 5 [size =\"39901184\"]\n  5 [size=\"89733120\", alpha=\"0.04\", expect_size=\"44866560\"] \n  5 -> 6 [size =\"44866560\"]\n  6 [size=\"28997632\", alpha=\"0.12\", expect_size=\"14498816\"] \n  6 -> 7 [size =\"14498816\"]\n  7 [size=\"80138240\", alpha=\"0.10\", expect_size=\"40069120\"] \n  7 -> 8 [size =\"40069120\"]\n  8 [size=\"95942656\", alpha=\"0.15\", expect_size=\"47971328\"] \n  8 -> 9 [size =\"47971328\"]\n  9 [size=\"17446912\", alpha=\"0.01\", expect_size=\"8723456\"] \n  9 -> 10 [size =\"8723456\"]\n  10 [size=\"51273728\", alpha=\"0.03\", expect_size=\"25636864\"] \n  10 -> 11 [size =\"25636864\"]\n  11 [size=\"95571968\", alpha=\"0.13\", expect_size=\"47785984\"] \n  11 -> 12 [size =\"47785984\"]\n  12 [size=\"97576960\", alpha=\"0.11\", expect_size=\"48788480\"] \n  12 -> 13 [size =\"48788480\"]\n  13 [size=\"54118400\", alpha=\"0.15\", expect_size=\"27059200\"] \n  13 -> 14 [size =\"27059200\"]\n  14 [size=\"30214144\", alpha=\"0.11\", expect_size=\"15107072\"] \n  14 -> 15 [size =\"15107072\"]\n  15 [size=\"82147328\", alpha=\"0.02\", expect_size=\"41073664\"] \n  15 -> 16 [size =\"41073664\"]\n  16 [size=\"100102144\", alpha=\"0.02\", expect_size=\"50051072\"] \n  16 -> 17 [size =\"50051072\"]\n  17 [size=\"61894656\", alpha=\"0.12\", expect_size=\"30947328\"] \n  17 -> 18 [size =\"30947328\"]\n  18 [size=\"13645824\", alpha=\"0.05\", expect_size=\"6822912\"] \n  18 -> 19 [size =\"6822912\"]\n  19 [size=\"85528576\", alpha=\"0.13\", expect_size=\"42764288\"] \n  19 -> 20 [size =\"42764288\"]\n  20 [size=\"91795456\", alpha=\"0.17\", expect_size=\"45897728\"] \n  20 -> 21 [size =\"45897728\"]\n  21 [size=\"104839168\", alpha=\"0.03\", expect_size=\"52419584\"] \n  21 -> 22 [size =\"52419584\"]\n  22 [size=\"71280640\", alpha=\"0.19\", expect_size=\"35640320\"] \n  22 -> 23 [size =\"35640320\"]\n  23 [size=\"29921280\", alpha=\"0.17\", expect_size=\"14960640\"] \n  23 -> 24 [size =\"14960640\"]\n  24 [size=\"100263936\", alpha=\"0.09\", expect_size=\"50131968\"] \n  24 -> 25 [size =\"50131968\"]\n  25 [size=\"60127232\", alpha=\"0.19\", expect_size=\"30063616\"] \n  25 -> 26 [size =\"30063616\"]\n  26 [size=\"71352320\", alpha=\"0.12\", expect_size=\"35676160\"] \n  26 -> 27 [size =\"35676160\"]\n  27 [size=\"80633856\", alpha=\"0.20\", expect_size=\"40316928\"] \n  27 -> 28 [size =\"40316928\"]\n  28 [size=\"44787712\", alpha=\"0.06\", expect_size=\"22393856\"] \n  28 -> 29 [size =\"22393856\"]\n  29 [size=\"67534848\", alpha=\"0.13\", expect_size=\"33767424\"] \n  29 -> 30 [size =\"33767424\"]\n  30 [size=\"32935936\", alpha=\"0.09\", expect_size=\"16467968\"] \n  30 -> 31 [size =\"16467968\"]\n  31 [size=\"18173952\", alpha=\"0.03\", expect_size=\"9086976\"] \n  31 -> 32 [size =\"9086976\"]\n  32 [size=\"33126400\", alpha=\"0.16\", expect_size=\"16563200\"] \n  32 -> 33 [size =\"16563200\"]\n  33 [size=\"29945856\", alpha=\"0.18\", expect_size=\"14972928\"] \n  33 -> 34 [size =\"14972928\"]\n  34 [size=\"15884288\", alpha=\"0.04\", expect_size=\"7942144\"] \n  34 -> 35 [size =\"7942144\"]\n  35 [size=\"60256256\", alpha=\"0.05\", expect_size=\"30128128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29374464\", alpha=\"0.16\", expect_size=\"14687232\"] \n  1 -> 2 [size =\"14687232\"]\n  1 -> 3 [size =\"14687232\"]\n  2 [size=\"78985216\", alpha=\"0.06\", expect_size=\"39492608\"] \n  2 -> 4 [size =\"39492608\"]\n  2 -> 5 [size =\"39492608\"]\n  3 [size=\"18995200\", alpha=\"0.17\", expect_size=\"9497600\"] \n  3 -> 4 [size =\"9497600\"]\n  3 -> 5 [size =\"9497600\"]\n  4 [size=\"96075776\", alpha=\"0.12\", expect_size=\"48037888\"] \n  4 -> 6 [size =\"48037888\"]\n  4 -> 7 [size =\"48037888\"]\n  5 [size=\"29550592\", alpha=\"0.15\", expect_size=\"14775296\"] \n  5 -> 6 [size =\"14775296\"]\n  6 [size=\"47405056\", alpha=\"0.19\", expect_size=\"23702528\"] \n  6 -> 8 [size =\"23702528\"]\n  6 -> 9 [size =\"23702528\"]\n  7 [size=\"67278848\", alpha=\"0.09\", expect_size=\"33639424\"] \n  7 -> 8 [size =\"33639424\"]\n  8 [size=\"51695616\", alpha=\"0.05\", expect_size=\"25847808\"] \n  8 -> 10 [size =\"25847808\"]\n  9 [size=\"11433984\", alpha=\"0.11\", expect_size=\"5716992\"] \n  9 -> 10 [size =\"5716992\"]\n  10 [size=\"101959680\", alpha=\"0.12\", expect_size=\"50979840\"] \n  10 -> 11 [size =\"50979840\"]\n  11 [size=\"57499648\", alpha=\"0.10\", expect_size=\"28749824\"] \n  11 -> 12 [size =\"28749824\"]\n  12 [size=\"36593664\", alpha=\"0.03\", expect_size=\"18296832\"] \n  12 -> 13 [size =\"18296832\"]\n  13 [size=\"66170880\", alpha=\"0.17\", expect_size=\"33085440\"] \n  13 -> 14 [size =\"33085440\"]\n  14 [size=\"50491392\", alpha=\"0.09\", expect_size=\"25245696\"] \n  14 -> 15 [size =\"25245696\"]\n  15 [size=\"11012096\", alpha=\"0.07\", expect_size=\"5506048\"] \n  15 -> 16 [size =\"5506048\"]\n  16 [size=\"81944576\", alpha=\"0.14\", expect_size=\"40972288\"] \n  16 -> 17 [size =\"40972288\"]\n  16 -> 18 [size =\"40972288\"]\n  17 [size=\"76771328\", alpha=\"0.00\", expect_size=\"38385664\"] \n  17 -> 19 [size =\"38385664\"]\n  18 [size=\"23478272\", alpha=\"0.04\", expect_size=\"11739136\"] \n  18 -> 19 [size =\"11739136\"]\n  19 [size=\"45795328\", alpha=\"0.09\", expect_size=\"22897664\"] \n  19 -> 20 [size =\"22897664\"]\n  19 -> 21 [size =\"22897664\"]\n  20 [size=\"97570816\", alpha=\"0.02\", expect_size=\"48785408\"] \n  20 -> 22 [size =\"48785408\"]\n  20 -> 23 [size =\"48785408\"]\n  21 [size=\"58220544\", alpha=\"0.19\", expect_size=\"29110272\"] \n  21 -> 22 [size =\"29110272\"]\n  21 -> 23 [size =\"29110272\"]\n  22 [size=\"13080576\", alpha=\"0.11\", expect_size=\"6540288\"] \n  22 -> 24 [size =\"6540288\"]\n  22 -> 25 [size =\"6540288\"]\n  23 [size=\"25454592\", alpha=\"0.05\", expect_size=\"12727296\"] \n  23 -> 24 [size =\"12727296\"]\n  23 -> 25 [size =\"12727296\"]\n  24 [size=\"13445120\", alpha=\"0.17\", expect_size=\"6722560\"] \n  24 -> 26 [size =\"6722560\"]\n  24 -> 27 [size =\"6722560\"]\n  25 [size=\"54321152\", alpha=\"0.12\", expect_size=\"27160576\"] \n  25 -> 27 [size =\"27160576\"]\n  26 [size=\"86919168\", alpha=\"0.16\", expect_size=\"43459584\"] \n  26 -> 28 [size =\"43459584\"]\n  27 [size=\"57286656\", alpha=\"0.12\", expect_size=\"28643328\"] \n  27 -> 28 [size =\"28643328\"]\n  28 [size=\"57970688\", alpha=\"0.16\", expect_size=\"28985344\"] \n  28 -> 29 [size =\"28985344\"]\n  29 [size=\"74815488\", alpha=\"0.01\", expect_size=\"37407744\"] \n  29 -> 30 [size =\"37407744\"]\n  29 -> 31 [size =\"37407744\"]\n  30 [size=\"22726656\", alpha=\"0.04\", expect_size=\"11363328\"] \n  30 -> 32 [size =\"11363328\"]\n  31 [size=\"33222656\", alpha=\"0.18\", expect_size=\"16611328\"] \n  32 [size=\"30820352\", alpha=\"0.18\", expect_size=\"15410176\"] \n  32 -> 33 [size =\"15410176\"]\n  33 [size=\"84023296\", alpha=\"0.09\", expect_size=\"42011648\"] \n  33 -> 34 [size =\"42011648\"]\n  33 -> 35 [size =\"42011648\"]\n  34 [size=\"12599296\", alpha=\"0.09\", expect_size=\"6299648\"] \n  35 [size=\"90877952\", alpha=\"0.09\", expect_size=\"45438976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154306560\", alpha=\"0.13\", expect_size=\"46291968\"] \n  1 -> 34 [size =\"46291968\"]\n  2 [size=\"76148053\", alpha=\"0.19\", expect_size=\"22844416\"] \n  2 -> 34 [size =\"22844416\"]\n  3 [size=\"99020800\", alpha=\"0.02\", expect_size=\"29706240\"] \n  3 -> 34 [size =\"29706240\"]\n  3 -> 35 [size =\"29706240\"]\n  4 [size=\"30928213\", alpha=\"0.15\", expect_size=\"9278464\"] \n  4 -> 35 [size =\"9278464\"]\n  5 [size=\"115503787\", alpha=\"0.09\", expect_size=\"34651136\"] \n  5 -> 35 [size =\"34651136\"]\n  6 [size=\"54695253\", alpha=\"0.13\", expect_size=\"16408576\"] \n  6 -> 34 [size =\"16408576\"]\n  7 [size=\"107362987\", alpha=\"0.09\", expect_size=\"32208896\"] \n  7 -> 34 [size =\"32208896\"]\n  7 -> 35 [size =\"32208896\"]\n  8 [size=\"139294720\", alpha=\"0.02\", expect_size=\"41788416\"] \n  8 -> 34 [size =\"41788416\"]\n  8 -> 35 [size =\"41788416\"]\n  9 [size=\"97122987\", alpha=\"0.17\", expect_size=\"29136896\"] \n  9 -> 34 [size =\"29136896\"]\n  10 [size=\"77933227\", alpha=\"0.15\", expect_size=\"23379968\"] \n  10 -> 34 [size =\"23379968\"]\n  11 [size=\"57439573\", alpha=\"0.10\", expect_size=\"17231872\"] \n  11 -> 34 [size =\"17231872\"]\n  11 -> 35 [size =\"17231872\"]\n  12 [size=\"159901013\", alpha=\"0.15\", expect_size=\"47970304\"] \n  13 [size=\"155886933\", alpha=\"0.09\", expect_size=\"46766080\"] \n  13 -> 34 [size =\"46766080\"]\n  14 [size=\"171335680\", alpha=\"0.09\", expect_size=\"51400704\"] \n  14 -> 35 [size =\"51400704\"]\n  15 [size=\"132962987\", alpha=\"0.04\", expect_size=\"39888896\"] \n  15 -> 35 [size =\"39888896\"]\n  16 [size=\"48424960\", alpha=\"0.14\", expect_size=\"14527488\"] \n  17 [size=\"154333867\", alpha=\"0.14\", expect_size=\"46300160\"] \n  18 [size=\"66232320\", alpha=\"0.01\", expect_size=\"19869696\"] \n  18 -> 34 [size =\"19869696\"]\n  19 [size=\"84684800\", alpha=\"0.14\", expect_size=\"25405440\"] \n  19 -> 34 [size =\"25405440\"]\n  20 [size=\"60043947\", alpha=\"0.15\", expect_size=\"18013184\"] \n  20 -> 34 [size =\"18013184\"]\n  20 -> 35 [size =\"18013184\"]\n  21 [size=\"20534613\", alpha=\"0.13\", expect_size=\"6160384\"] \n  21 -> 35 [size =\"6160384\"]\n  21 -> 35 [size =\"6160384\"]\n  22 [size=\"98911573\", alpha=\"0.18\", expect_size=\"29673472\"] \n  23 [size=\"62760960\", alpha=\"0.14\", expect_size=\"18828288\"] \n  23 -> 34 [size =\"18828288\"]\n  24 [size=\"134386347\", alpha=\"0.11\", expect_size=\"40315904\"] \n  24 -> 34 [size =\"40315904\"]\n  25 [size=\"49817600\", alpha=\"0.01\", expect_size=\"14945280\"] \n  25 -> 34 [size =\"14945280\"]\n  25 -> 35 [size =\"14945280\"]\n  26 [size=\"78411093\", alpha=\"0.16\", expect_size=\"23523328\"] \n  26 -> 34 [size =\"23523328\"]\n  26 -> 35 [size =\"23523328\"]\n  27 [size=\"31863467\", alpha=\"0.02\", expect_size=\"9559040\"] \n  27 -> 34 [size =\"9559040\"]\n  27 -> 35 [size =\"9559040\"]\n  28 [size=\"143919787\", alpha=\"0.04\", expect_size=\"43175936\"] \n  28 -> 35 [size =\"43175936\"]\n  29 [size=\"153221120\", alpha=\"0.16\", expect_size=\"45966336\"] \n  29 -> 34 [size =\"45966336\"]\n  30 [size=\"108479147\", alpha=\"0.15\", expect_size=\"32543744\"] \n  30 -> 34 [size =\"32543744\"]\n  31 [size=\"68037973\", alpha=\"0.19\", expect_size=\"20411392\"] \n  31 -> 34 [size =\"20411392\"]\n  31 -> 35 [size =\"20411392\"]\n  32 [size=\"168734720\", alpha=\"0.02\", expect_size=\"50620416\"] \n  32 -> 34 [size =\"50620416\"]\n  33 [size=\"154671787\", alpha=\"0.02\", expect_size=\"46401536\"] \n  33 -> 34 [size =\"46401536\"]\n  34 [size=\"107390293\", alpha=\"0.02\", expect_size=\"32217088\"] \n  35 [size=\"40345600\", alpha=\"0.17\", expect_size=\"12103680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74972160\", alpha=\"0.20\", expect_size=\"29988864\"] \n  1 -> 10 [size =\"29988864\"]\n  1 -> 11 [size =\"29988864\"]\n  1 -> 13 [size =\"29988864\"]\n  1 -> 16 [size =\"29988864\"]\n  1 -> 19 [size =\"29988864\"]\n  1 -> 20 [size =\"29988864\"]\n  1 -> 21 [size =\"29988864\"]\n  2 [size=\"80384000\", alpha=\"0.17\", expect_size=\"32153600\"] \n  2 -> 10 [size =\"32153600\"]\n  2 -> 14 [size =\"32153600\"]\n  2 -> 15 [size =\"32153600\"]\n  2 -> 17 [size =\"32153600\"]\n  2 -> 20 [size =\"32153600\"]\n  2 -> 20 [size =\"32153600\"]\n  2 -> 21 [size =\"32153600\"]\n  2 -> 22 [size =\"32153600\"]\n  3 [size=\"86707200\", alpha=\"0.06\", expect_size=\"34682880\"] \n  3 -> 10 [size =\"34682880\"]\n  3 -> 19 [size =\"34682880\"]\n  3 -> 20 [size =\"34682880\"]\n  3 -> 21 [size =\"34682880\"]\n  4 [size=\"115432960\", alpha=\"0.03\", expect_size=\"46173184\"] \n  4 -> 10 [size =\"46173184\"]\n  4 -> 11 [size =\"46173184\"]\n  4 -> 16 [size =\"46173184\"]\n  4 -> 17 [size =\"46173184\"]\n  4 -> 19 [size =\"46173184\"]\n  4 -> 20 [size =\"46173184\"]\n  4 -> 21 [size =\"46173184\"]\n  5 [size=\"52605440\", alpha=\"0.18\", expect_size=\"21042176\"] \n  5 -> 10 [size =\"21042176\"]\n  5 -> 11 [size =\"21042176\"]\n  5 -> 13 [size =\"21042176\"]\n  5 -> 14 [size =\"21042176\"]\n  5 -> 18 [size =\"21042176\"]\n  5 -> 19 [size =\"21042176\"]\n  5 -> 20 [size =\"21042176\"]\n  5 -> 21 [size =\"21042176\"]\n  6 [size=\"13992960\", alpha=\"0.02\", expect_size=\"5597184\"] \n  6 -> 10 [size =\"5597184\"]\n  6 -> 11 [size =\"5597184\"]\n  6 -> 13 [size =\"5597184\"]\n  6 -> 14 [size =\"5597184\"]\n  6 -> 20 [size =\"5597184\"]\n  6 -> 21 [size =\"5597184\"]\n  7 [size=\"55285760\", alpha=\"0.16\", expect_size=\"22114304\"] \n  7 -> 11 [size =\"22114304\"]\n  7 -> 12 [size =\"22114304\"]\n  7 -> 13 [size =\"22114304\"]\n  7 -> 14 [size =\"22114304\"]\n  7 -> 15 [size =\"22114304\"]\n  7 -> 21 [size =\"22114304\"]\n  8 [size=\"82677760\", alpha=\"0.01\", expect_size=\"33071104\"] \n  8 -> 10 [size =\"33071104\"]\n  8 -> 13 [size =\"33071104\"]\n  8 -> 14 [size =\"33071104\"]\n  8 -> 19 [size =\"33071104\"]\n  8 -> 20 [size =\"33071104\"]\n  8 -> 21 [size =\"33071104\"]\n  9 [size=\"18321920\", alpha=\"0.15\", expect_size=\"7328768\"] \n  9 -> 10 [size =\"7328768\"]\n  9 -> 11 [size =\"7328768\"]\n  9 -> 12 [size =\"7328768\"]\n  9 -> 13 [size =\"7328768\"]\n  9 -> 14 [size =\"7328768\"]\n  9 -> 15 [size =\"7328768\"]\n  9 -> 17 [size =\"7328768\"]\n  9 -> 18 [size =\"7328768\"]\n  9 -> 19 [size =\"7328768\"]\n  9 -> 21 [size =\"7328768\"]\n  10 [size=\"32995840\", alpha=\"0.05\", expect_size=\"13198336\"] \n  10 -> 23 [size =\"13198336\"]\n  10 -> 24 [size =\"13198336\"]\n  10 -> 26 [size =\"13198336\"]\n  10 -> 29 [size =\"13198336\"]\n  11 [size=\"20272640\", alpha=\"0.01\", expect_size=\"8109056\"] \n  11 -> 24 [size =\"8109056\"]\n  11 -> 25 [size =\"8109056\"]\n  11 -> 29 [size =\"8109056\"]\n  11 -> 31 [size =\"8109056\"]\n  11 -> 33 [size =\"8109056\"]\n  12 [size=\"19883520\", alpha=\"0.04\", expect_size=\"7953408\"] \n  12 -> 24 [size =\"7953408\"]\n  12 -> 25 [size =\"7953408\"]\n  12 -> 26 [size =\"7953408\"]\n  12 -> 31 [size =\"7953408\"]\n  12 -> 33 [size =\"7953408\"]\n  13 [size=\"121072640\", alpha=\"0.12\", expect_size=\"48429056\"] \n  13 -> 24 [size =\"48429056\"]\n  13 -> 25 [size =\"48429056\"]\n  13 -> 26 [size =\"48429056\"]\n  13 -> 31 [size =\"48429056\"]\n  13 -> 33 [size =\"48429056\"]\n  14 [size=\"40064000\", alpha=\"0.05\", expect_size=\"16025600\"] \n  14 -> 25 [size =\"16025600\"]\n  14 -> 26 [size =\"16025600\"]\n  14 -> 29 [size =\"16025600\"]\n  14 -> 31 [size =\"16025600\"]\n  14 -> 33 [size =\"16025600\"]\n  15 [size=\"56947200\", alpha=\"0.10\", expect_size=\"22778880\"] \n  15 -> 30 [size =\"22778880\"]\n  15 -> 31 [size =\"22778880\"]\n  15 -> 33 [size =\"22778880\"]\n  16 [size=\"46799360\", alpha=\"0.05\", expect_size=\"18719744\"] \n  16 -> 23 [size =\"18719744\"]\n  16 -> 25 [size =\"18719744\"]\n  16 -> 28 [size =\"18719744\"]\n  16 -> 29 [size =\"18719744\"]\n  16 -> 31 [size =\"18719744\"]\n  16 -> 32 [size =\"18719744\"]\n  16 -> 33 [size =\"18719744\"]\n  17 [size=\"61332480\", alpha=\"0.05\", expect_size=\"24532992\"] \n  17 -> 23 [size =\"24532992\"]\n  17 -> 25 [size =\"24532992\"]\n  17 -> 30 [size =\"24532992\"]\n  17 -> 33 [size =\"24532992\"]\n  18 [size=\"39347200\", alpha=\"0.14\", expect_size=\"15738880\"] \n  18 -> 25 [size =\"15738880\"]\n  18 -> 26 [size =\"15738880\"]\n  18 -> 27 [size =\"15738880\"]\n  18 -> 29 [size =\"15738880\"]\n  18 -> 31 [size =\"15738880\"]\n  19 [size=\"46051840\", alpha=\"0.05\", expect_size=\"18420736\"] \n  19 -> 24 [size =\"18420736\"]\n  19 -> 25 [size =\"18420736\"]\n  19 -> 26 [size =\"18420736\"]\n  19 -> 29 [size =\"18420736\"]\n  19 -> 31 [size =\"18420736\"]\n  19 -> 32 [size =\"18420736\"]\n  19 -> 33 [size =\"18420736\"]\n  20 [size=\"19033600\", alpha=\"0.09\", expect_size=\"7613440\"] \n  20 -> 23 [size =\"7613440\"]\n  20 -> 25 [size =\"7613440\"]\n  20 -> 26 [size =\"7613440\"]\n  20 -> 31 [size =\"7613440\"]\n  20 -> 32 [size =\"7613440\"]\n  21 [size=\"48394240\", alpha=\"0.04\", expect_size=\"19357696\"] \n  21 -> 23 [size =\"19357696\"]\n  21 -> 26 [size =\"19357696\"]\n  21 -> 26 [size =\"19357696\"]\n  21 -> 29 [size =\"19357696\"]\n  21 -> 31 [size =\"19357696\"]\n  22 [size=\"56289280\", alpha=\"0.11\", expect_size=\"22515712\"] \n  22 -> 23 [size =\"22515712\"]\n  22 -> 26 [size =\"22515712\"]\n  22 -> 27 [size =\"22515712\"]\n  22 -> 29 [size =\"22515712\"]\n  23 [size=\"79959040\", alpha=\"0.10\", expect_size=\"31983616\"] \n  23 -> 34 [size =\"31983616\"]\n  24 [size=\"34585600\", alpha=\"0.06\", expect_size=\"13834240\"] \n  24 -> 34 [size =\"13834240\"]\n  25 [size=\"61555200\", alpha=\"0.09\", expect_size=\"24622080\"] \n  25 -> 34 [size =\"24622080\"]\n  26 [size=\"120811520\", alpha=\"0.13\", expect_size=\"48324608\"] \n  27 [size=\"29870080\", alpha=\"0.03\", expect_size=\"11948032\"] \n  27 -> 34 [size =\"11948032\"]\n  28 [size=\"60408320\", alpha=\"0.05\", expect_size=\"24163328\"] \n  29 [size=\"25121280\", alpha=\"0.08\", expect_size=\"10048512\"] \n  30 [size=\"52549120\", alpha=\"0.15\", expect_size=\"21019648\"] \n  30 -> 35 [size =\"21019648\"]\n  31 [size=\"107310080\", alpha=\"0.02\", expect_size=\"42924032\"] \n  32 [size=\"15339520\", alpha=\"0.11\", expect_size=\"6135808\"] \n  33 [size=\"79846400\", alpha=\"0.18\", expect_size=\"31938560\"] \n  33 -> 34 [size =\"31938560\"]\n  34 [size=\"20533760\", alpha=\"0.10\", expect_size=\"8213504\"] \n  35 [size=\"57697280\", alpha=\"0.09\", expect_size=\"23078912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114077013\", alpha=\"0.07\", expect_size=\"34223104\"] \n  1 -> 2 [size =\"34223104\"]\n  2 [size=\"140431360\", alpha=\"0.08\", expect_size=\"42129408\"] \n  2 -> 3 [size =\"42129408\"]\n  3 [size=\"164283733\", alpha=\"0.01\", expect_size=\"49285120\"] \n  3 -> 4 [size =\"49285120\"]\n  4 [size=\"161406293\", alpha=\"0.12\", expect_size=\"48421888\"] \n  4 -> 5 [size =\"48421888\"]\n  5 [size=\"115974827\", alpha=\"0.19\", expect_size=\"34792448\"] \n  5 -> 6 [size =\"34792448\"]\n  6 [size=\"91944960\", alpha=\"0.14\", expect_size=\"27583488\"] \n  6 -> 7 [size =\"27583488\"]\n  7 [size=\"57770667\", alpha=\"0.20\", expect_size=\"17331200\"] \n  7 -> 8 [size =\"17331200\"]\n  8 [size=\"69126827\", alpha=\"0.09\", expect_size=\"20738048\"] \n  8 -> 9 [size =\"20738048\"]\n  9 [size=\"109735253\", alpha=\"0.20\", expect_size=\"32920576\"] \n  9 -> 10 [size =\"32920576\"]\n  10 [size=\"126320640\", alpha=\"0.02\", expect_size=\"37896192\"] \n  10 -> 11 [size =\"37896192\"]\n  11 [size=\"149149013\", alpha=\"0.00\", expect_size=\"44744704\"] \n  11 -> 12 [size =\"44744704\"]\n  12 [size=\"50476373\", alpha=\"0.13\", expect_size=\"15142912\"] \n  12 -> 13 [size =\"15142912\"]\n  13 [size=\"114998613\", alpha=\"0.11\", expect_size=\"34499584\"] \n  13 -> 14 [size =\"34499584\"]\n  14 [size=\"121074347\", alpha=\"0.01\", expect_size=\"36322304\"] \n  14 -> 15 [size =\"36322304\"]\n  15 [size=\"60641280\", alpha=\"0.07\", expect_size=\"18192384\"] \n  15 -> 16 [size =\"18192384\"]\n  16 [size=\"50240853\", alpha=\"0.02\", expect_size=\"15072256\"] \n  16 -> 17 [size =\"15072256\"]\n  17 [size=\"158204587\", alpha=\"0.01\", expect_size=\"47461376\"] \n  17 -> 18 [size =\"47461376\"]\n  18 [size=\"155685547\", alpha=\"0.19\", expect_size=\"46705664\"] \n  18 -> 19 [size =\"46705664\"]\n  19 [size=\"70898347\", alpha=\"0.10\", expect_size=\"21269504\"] \n  19 -> 20 [size =\"21269504\"]\n  20 [size=\"70615040\", alpha=\"0.16\", expect_size=\"21184512\"] \n  20 -> 21 [size =\"21184512\"]\n  21 [size=\"90207573\", alpha=\"0.13\", expect_size=\"27062272\"] \n  21 -> 22 [size =\"27062272\"]\n  22 [size=\"92958720\", alpha=\"0.07\", expect_size=\"27887616\"] \n  22 -> 23 [size =\"27887616\"]\n  23 [size=\"39976960\", alpha=\"0.19\", expect_size=\"11993088\"] \n  23 -> 24 [size =\"11993088\"]\n  24 [size=\"127542613\", alpha=\"0.09\", expect_size=\"38262784\"] \n  24 -> 25 [size =\"38262784\"]\n  25 [size=\"136628907\", alpha=\"0.12\", expect_size=\"40988672\"] \n  25 -> 26 [size =\"40988672\"]\n  26 [size=\"38167893\", alpha=\"0.05\", expect_size=\"11450368\"] \n  26 -> 27 [size =\"11450368\"]\n  27 [size=\"50274987\", alpha=\"0.02\", expect_size=\"15082496\"] \n  27 -> 28 [size =\"15082496\"]\n  28 [size=\"61286400\", alpha=\"0.06\", expect_size=\"18385920\"] \n  28 -> 29 [size =\"18385920\"]\n  29 [size=\"52770133\", alpha=\"0.02\", expect_size=\"15831040\"] \n  29 -> 30 [size =\"15831040\"]\n  30 [size=\"132427093\", alpha=\"0.12\", expect_size=\"39728128\"] \n  30 -> 31 [size =\"39728128\"]\n  31 [size=\"98256213\", alpha=\"0.18\", expect_size=\"29476864\"] \n  31 -> 32 [size =\"29476864\"]\n  32 [size=\"46858240\", alpha=\"0.09\", expect_size=\"14057472\"] \n  32 -> 33 [size =\"14057472\"]\n  33 [size=\"101195093\", alpha=\"0.12\", expect_size=\"30358528\"] \n  33 -> 34 [size =\"30358528\"]\n  34 [size=\"93498027\", alpha=\"0.08\", expect_size=\"28049408\"] \n  34 -> 35 [size =\"28049408\"]\n  35 [size=\"167700480\", alpha=\"0.10\", expect_size=\"50310144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43772587\", alpha=\"0.04\", expect_size=\"13131776\"] \n  1 -> 15 [size =\"13131776\"]\n  1 -> 17 [size =\"13131776\"]\n  1 -> 18 [size =\"13131776\"]\n  1 -> 20 [size =\"13131776\"]\n  1 -> 21 [size =\"13131776\"]\n  1 -> 22 [size =\"13131776\"]\n  1 -> 23 [size =\"13131776\"]\n  2 [size=\"164464640\", alpha=\"0.17\", expect_size=\"49339392\"] \n  2 -> 14 [size =\"49339392\"]\n  2 -> 17 [size =\"49339392\"]\n  2 -> 18 [size =\"49339392\"]\n  2 -> 21 [size =\"49339392\"]\n  3 [size=\"125873493\", alpha=\"0.01\", expect_size=\"37762048\"] \n  3 -> 13 [size =\"37762048\"]\n  3 -> 14 [size =\"37762048\"]\n  3 -> 17 [size =\"37762048\"]\n  3 -> 18 [size =\"37762048\"]\n  3 -> 23 [size =\"37762048\"]\n  4 [size=\"160614400\", alpha=\"0.01\", expect_size=\"48184320\"] \n  4 -> 13 [size =\"48184320\"]\n  4 -> 14 [size =\"48184320\"]\n  4 -> 18 [size =\"48184320\"]\n  4 -> 18 [size =\"48184320\"]\n  4 -> 19 [size =\"48184320\"]\n  4 -> 20 [size =\"48184320\"]\n  5 [size=\"170318507\", alpha=\"0.06\", expect_size=\"51095552\"] \n  5 -> 13 [size =\"51095552\"]\n  5 -> 14 [size =\"51095552\"]\n  5 -> 16 [size =\"51095552\"]\n  5 -> 18 [size =\"51095552\"]\n  5 -> 19 [size =\"51095552\"]\n  5 -> 21 [size =\"51095552\"]\n  6 [size=\"45073067\", alpha=\"0.10\", expect_size=\"13521920\"] \n  6 -> 14 [size =\"13521920\"]\n  6 -> 14 [size =\"13521920\"]\n  6 -> 18 [size =\"13521920\"]\n  6 -> 20 [size =\"13521920\"]\n  6 -> 21 [size =\"13521920\"]\n  6 -> 22 [size =\"13521920\"]\n  7 [size=\"147527680\", alpha=\"0.20\", expect_size=\"44258304\"] \n  7 -> 13 [size =\"44258304\"]\n  7 -> 14 [size =\"44258304\"]\n  7 -> 16 [size =\"44258304\"]\n  7 -> 18 [size =\"44258304\"]\n  7 -> 20 [size =\"44258304\"]\n  7 -> 21 [size =\"44258304\"]\n  7 -> 23 [size =\"44258304\"]\n  8 [size=\"130170880\", alpha=\"0.05\", expect_size=\"39051264\"] \n  8 -> 13 [size =\"39051264\"]\n  8 -> 15 [size =\"39051264\"]\n  8 -> 16 [size =\"39051264\"]\n  8 -> 18 [size =\"39051264\"]\n  8 -> 20 [size =\"39051264\"]\n  8 -> 21 [size =\"39051264\"]\n  8 -> 23 [size =\"39051264\"]\n  9 [size=\"146530987\", alpha=\"0.05\", expect_size=\"43959296\"] \n  9 -> 13 [size =\"43959296\"]\n  9 -> 18 [size =\"43959296\"]\n  9 -> 23 [size =\"43959296\"]\n  10 [size=\"51025920\", alpha=\"0.12\", expect_size=\"15307776\"] \n  10 -> 13 [size =\"15307776\"]\n  10 -> 14 [size =\"15307776\"]\n  10 -> 21 [size =\"15307776\"]\n  10 -> 23 [size =\"15307776\"]\n  11 [size=\"158634667\", alpha=\"0.17\", expect_size=\"47590400\"] \n  11 -> 13 [size =\"47590400\"]\n  11 -> 19 [size =\"47590400\"]\n  11 -> 21 [size =\"47590400\"]\n  11 -> 22 [size =\"47590400\"]\n  11 -> 23 [size =\"47590400\"]\n  12 [size=\"32191147\", alpha=\"0.12\", expect_size=\"9657344\"] \n  12 -> 15 [size =\"9657344\"]\n  12 -> 17 [size =\"9657344\"]\n  12 -> 18 [size =\"9657344\"]\n  12 -> 21 [size =\"9657344\"]\n  12 -> 22 [size =\"9657344\"]\n  12 -> 23 [size =\"9657344\"]\n  13 [size=\"165771947\", alpha=\"0.05\", expect_size=\"49731584\"] \n  13 -> 26 [size =\"49731584\"]\n  13 -> 27 [size =\"49731584\"]\n  13 -> 32 [size =\"49731584\"]\n  13 -> 35 [size =\"49731584\"]\n  14 [size=\"174346240\", alpha=\"0.06\", expect_size=\"52303872\"] \n  14 -> 25 [size =\"52303872\"]\n  14 -> 27 [size =\"52303872\"]\n  14 -> 32 [size =\"52303872\"]\n  14 -> 33 [size =\"52303872\"]\n  14 -> 35 [size =\"52303872\"]\n  15 [size=\"28095147\", alpha=\"0.07\", expect_size=\"8428544\"] \n  15 -> 27 [size =\"8428544\"]\n  15 -> 34 [size =\"8428544\"]\n  16 [size=\"78291627\", alpha=\"0.00\", expect_size=\"23487488\"] \n  16 -> 27 [size =\"23487488\"]\n  16 -> 28 [size =\"23487488\"]\n  16 -> 31 [size =\"23487488\"]\n  16 -> 32 [size =\"23487488\"]\n  16 -> 33 [size =\"23487488\"]\n  17 [size=\"157255680\", alpha=\"0.03\", expect_size=\"47176704\"] \n  17 -> 24 [size =\"47176704\"]\n  17 -> 25 [size =\"47176704\"]\n  17 -> 28 [size =\"47176704\"]\n  17 -> 30 [size =\"47176704\"]\n  17 -> 31 [size =\"47176704\"]\n  17 -> 32 [size =\"47176704\"]\n  18 [size=\"156777813\", alpha=\"0.13\", expect_size=\"47033344\"] \n  18 -> 24 [size =\"47033344\"]\n  18 -> 25 [size =\"47033344\"]\n  18 -> 29 [size =\"47033344\"]\n  18 -> 30 [size =\"47033344\"]\n  18 -> 34 [size =\"47033344\"]\n  19 [size=\"40366080\", alpha=\"0.01\", expect_size=\"12109824\"] \n  19 -> 24 [size =\"12109824\"]\n  19 -> 25 [size =\"12109824\"]\n  19 -> 28 [size =\"12109824\"]\n  19 -> 32 [size =\"12109824\"]\n  19 -> 33 [size =\"12109824\"]\n  20 [size=\"81452373\", alpha=\"0.19\", expect_size=\"24435712\"] \n  20 -> 25 [size =\"24435712\"]\n  20 -> 27 [size =\"24435712\"]\n  20 -> 28 [size =\"24435712\"]\n  20 -> 31 [size =\"24435712\"]\n  20 -> 33 [size =\"24435712\"]\n  20 -> 35 [size =\"24435712\"]\n  21 [size=\"19793920\", alpha=\"0.02\", expect_size=\"5938176\"] \n  21 -> 24 [size =\"5938176\"]\n  21 -> 25 [size =\"5938176\"]\n  21 -> 27 [size =\"5938176\"]\n  21 -> 29 [size =\"5938176\"]\n  21 -> 31 [size =\"5938176\"]\n  21 -> 32 [size =\"5938176\"]\n  21 -> 33 [size =\"5938176\"]\n  21 -> 35 [size =\"5938176\"]\n  22 [size=\"155344213\", alpha=\"0.02\", expect_size=\"46603264\"] \n  22 -> 24 [size =\"46603264\"]\n  22 -> 27 [size =\"46603264\"]\n  22 -> 27 [size =\"46603264\"]\n  22 -> 28 [size =\"46603264\"]\n  22 -> 31 [size =\"46603264\"]\n  22 -> 32 [size =\"46603264\"]\n  22 -> 33 [size =\"46603264\"]\n  22 -> 34 [size =\"46603264\"]\n  22 -> 35 [size =\"46603264\"]\n  23 [size=\"93085013\", alpha=\"0.17\", expect_size=\"27925504\"] \n  23 -> 27 [size =\"27925504\"]\n  23 -> 28 [size =\"27925504\"]\n  23 -> 30 [size =\"27925504\"]\n  23 -> 31 [size =\"27925504\"]\n  23 -> 35 [size =\"27925504\"]\n  24 [size=\"133403307\", alpha=\"0.10\", expect_size=\"40020992\"] \n  25 [size=\"26361173\", alpha=\"0.02\", expect_size=\"7908352\"] \n  26 [size=\"84111360\", alpha=\"0.18\", expect_size=\"25233408\"] \n  27 [size=\"85073920\", alpha=\"0.10\", expect_size=\"25522176\"] \n  28 [size=\"109636267\", alpha=\"0.17\", expect_size=\"32890880\"] \n  29 [size=\"53183147\", alpha=\"0.00\", expect_size=\"15954944\"] \n  30 [size=\"57818453\", alpha=\"0.07\", expect_size=\"17345536\"] \n  31 [size=\"53282133\", alpha=\"0.13\", expect_size=\"15984640\"] \n  32 [size=\"65870507\", alpha=\"0.20\", expect_size=\"19761152\"] \n  33 [size=\"85288960\", alpha=\"0.06\", expect_size=\"25586688\"] \n  34 [size=\"62648320\", alpha=\"0.12\", expect_size=\"18794496\"] \n  35 [size=\"141093547\", alpha=\"0.19\", expect_size=\"42328064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89480533\", alpha=\"0.03\", expect_size=\"26844160\"] \n  1 -> 8 [size =\"26844160\"]\n  1 -> 9 [size =\"26844160\"]\n  2 [size=\"155159893\", alpha=\"0.13\", expect_size=\"46547968\"] \n  2 -> 7 [size =\"46547968\"]\n  2 -> 8 [size =\"46547968\"]\n  3 [size=\"25326933\", alpha=\"0.18\", expect_size=\"7598080\"] \n  3 -> 6 [size =\"7598080\"]\n  4 [size=\"150176427\", alpha=\"0.09\", expect_size=\"45052928\"] \n  4 -> 6 [size =\"45052928\"]\n  5 [size=\"39843840\", alpha=\"0.11\", expect_size=\"11953152\"] \n  5 -> 8 [size =\"11953152\"]\n  6 [size=\"132939093\", alpha=\"0.09\", expect_size=\"39881728\"] \n  6 -> 10 [size =\"39881728\"]\n  6 -> 14 [size =\"39881728\"]\n  7 [size=\"123446613\", alpha=\"0.02\", expect_size=\"37033984\"] \n  7 -> 13 [size =\"37033984\"]\n  7 -> 14 [size =\"37033984\"]\n  8 [size=\"77673813\", alpha=\"0.17\", expect_size=\"23302144\"] \n  8 -> 13 [size =\"23302144\"]\n  9 [size=\"104806400\", alpha=\"0.13\", expect_size=\"31441920\"] \n  9 -> 11 [size =\"31441920\"]\n  9 -> 12 [size =\"31441920\"]\n  9 -> 13 [size =\"31441920\"]\n  10 [size=\"45284693\", alpha=\"0.06\", expect_size=\"13585408\"] \n  10 -> 16 [size =\"13585408\"]\n  10 -> 17 [size =\"13585408\"]\n  10 -> 18 [size =\"13585408\"]\n  11 [size=\"18903040\", alpha=\"0.03\", expect_size=\"5670912\"] \n  12 [size=\"45834240\", alpha=\"0.18\", expect_size=\"13750272\"] \n  12 -> 18 [size =\"13750272\"]\n  13 [size=\"150756693\", alpha=\"0.06\", expect_size=\"45227008\"] \n  13 -> 18 [size =\"45227008\"]\n  13 -> 19 [size =\"45227008\"]\n  14 [size=\"136878080\", alpha=\"0.07\", expect_size=\"41063424\"] \n  14 -> 15 [size =\"41063424\"]\n  14 -> 19 [size =\"41063424\"]\n  15 [size=\"52558507\", alpha=\"0.15\", expect_size=\"15767552\"] \n  15 -> 20 [size =\"15767552\"]\n  15 -> 22 [size =\"15767552\"]\n  15 -> 23 [size =\"15767552\"]\n  15 -> 24 [size =\"15767552\"]\n  16 [size=\"140253867\", alpha=\"0.09\", expect_size=\"42076160\"] \n  16 -> 20 [size =\"42076160\"]\n  16 -> 21 [size =\"42076160\"]\n  17 [size=\"53128533\", alpha=\"0.13\", expect_size=\"15938560\"] \n  17 -> 20 [size =\"15938560\"]\n  18 [size=\"65184427\", alpha=\"0.12\", expect_size=\"19555328\"] \n  18 -> 20 [size =\"19555328\"]\n  18 -> 21 [size =\"19555328\"]\n  19 [size=\"41181867\", alpha=\"0.07\", expect_size=\"12354560\"] \n  19 -> 22 [size =\"12354560\"]\n  19 -> 23 [size =\"12354560\"]\n  20 [size=\"144281600\", alpha=\"0.04\", expect_size=\"43284480\"] \n  20 -> 25 [size =\"43284480\"]\n  20 -> 27 [size =\"43284480\"]\n  21 [size=\"36184747\", alpha=\"0.10\", expect_size=\"10855424\"] \n  21 -> 25 [size =\"10855424\"]\n  21 -> 27 [size =\"10855424\"]\n  22 [size=\"63211520\", alpha=\"0.14\", expect_size=\"18963456\"] \n  22 -> 27 [size =\"18963456\"]\n  23 [size=\"45103787\", alpha=\"0.19\", expect_size=\"13531136\"] \n  23 -> 26 [size =\"13531136\"]\n  24 [size=\"88524800\", alpha=\"0.01\", expect_size=\"26557440\"] \n  24 -> 25 [size =\"26557440\"]\n  24 -> 26 [size =\"26557440\"]\n  24 -> 27 [size =\"26557440\"]\n  25 [size=\"141646507\", alpha=\"0.06\", expect_size=\"42493952\"] \n  25 -> 28 [size =\"42493952\"]\n  25 -> 31 [size =\"42493952\"]\n  26 [size=\"105844053\", alpha=\"0.05\", expect_size=\"31753216\"] \n  26 -> 29 [size =\"31753216\"]\n  26 -> 30 [size =\"31753216\"]\n  26 -> 32 [size =\"31753216\"]\n  27 [size=\"18810880\", alpha=\"0.18\", expect_size=\"5643264\"] \n  27 -> 31 [size =\"5643264\"]\n  27 -> 32 [size =\"5643264\"]\n  27 -> 32 [size =\"5643264\"]\n  28 [size=\"121958400\", alpha=\"0.18\", expect_size=\"36587520\"] \n  29 [size=\"58647893\", alpha=\"0.10\", expect_size=\"17594368\"] \n  29 -> 35 [size =\"17594368\"]\n  30 [size=\"110083413\", alpha=\"0.05\", expect_size=\"33025024\"] \n  31 [size=\"140311893\", alpha=\"0.01\", expect_size=\"42093568\"] \n  31 -> 33 [size =\"42093568\"]\n  31 -> 34 [size =\"42093568\"]\n  32 [size=\"64058027\", alpha=\"0.19\", expect_size=\"19217408\"] \n  33 [size=\"18998613\", alpha=\"0.15\", expect_size=\"5699584\"] \n  34 [size=\"170284373\", alpha=\"0.06\", expect_size=\"51085312\"] \n  35 [size=\"21459627\", alpha=\"0.02\", expect_size=\"6437888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19909973\", alpha=\"0.02\", expect_size=\"5972992\"] \n  1 -> 2 [size =\"5972992\"]\n  2 [size=\"86698667\", alpha=\"0.02\", expect_size=\"26009600\"] \n  2 -> 3 [size =\"26009600\"]\n  3 [size=\"38372693\", alpha=\"0.13\", expect_size=\"11511808\"] \n  3 -> 4 [size =\"11511808\"]\n  4 [size=\"160034133\", alpha=\"0.19\", expect_size=\"48010240\"] \n  4 -> 5 [size =\"48010240\"]\n  5 [size=\"46513493\", alpha=\"0.18\", expect_size=\"13954048\"] \n  5 -> 6 [size =\"13954048\"]\n  6 [size=\"92334080\", alpha=\"0.19\", expect_size=\"27700224\"] \n  6 -> 7 [size =\"27700224\"]\n  7 [size=\"87214080\", alpha=\"0.02\", expect_size=\"26164224\"] \n  7 -> 8 [size =\"26164224\"]\n  8 [size=\"72997547\", alpha=\"0.14\", expect_size=\"21899264\"] \n  8 -> 9 [size =\"21899264\"]\n  9 [size=\"36427093\", alpha=\"0.08\", expect_size=\"10928128\"] \n  9 -> 10 [size =\"10928128\"]\n  10 [size=\"155337387\", alpha=\"0.09\", expect_size=\"46601216\"] \n  10 -> 11 [size =\"46601216\"]\n  11 [size=\"30392320\", alpha=\"0.03\", expect_size=\"9117696\"] \n  11 -> 12 [size =\"9117696\"]\n  12 [size=\"44011520\", alpha=\"0.17\", expect_size=\"13203456\"] \n  12 -> 13 [size =\"13203456\"]\n  13 [size=\"62443520\", alpha=\"0.16\", expect_size=\"18733056\"] \n  13 -> 14 [size =\"18733056\"]\n  14 [size=\"162433707\", alpha=\"0.06\", expect_size=\"48730112\"] \n  14 -> 15 [size =\"48730112\"]\n  15 [size=\"154535253\", alpha=\"0.13\", expect_size=\"46360576\"] \n  15 -> 16 [size =\"46360576\"]\n  16 [size=\"139236693\", alpha=\"0.16\", expect_size=\"41771008\"] \n  16 -> 17 [size =\"41771008\"]\n  17 [size=\"131679573\", alpha=\"0.09\", expect_size=\"39503872\"] \n  17 -> 18 [size =\"39503872\"]\n  18 [size=\"146353493\", alpha=\"0.04\", expect_size=\"43906048\"] \n  18 -> 19 [size =\"43906048\"]\n  19 [size=\"99693227\", alpha=\"0.19\", expect_size=\"29907968\"] \n  19 -> 20 [size =\"29907968\"]\n  20 [size=\"160948907\", alpha=\"0.15\", expect_size=\"48284672\"] \n  20 -> 21 [size =\"48284672\"]\n  21 [size=\"77841067\", alpha=\"0.11\", expect_size=\"23352320\"] \n  21 -> 22 [size =\"23352320\"]\n  22 [size=\"99013973\", alpha=\"0.16\", expect_size=\"29704192\"] \n  22 -> 23 [size =\"29704192\"]\n  23 [size=\"78670507\", alpha=\"0.04\", expect_size=\"23601152\"] \n  23 -> 24 [size =\"23601152\"]\n  24 [size=\"48933547\", alpha=\"0.09\", expect_size=\"14680064\"] \n  24 -> 25 [size =\"14680064\"]\n  25 [size=\"94600533\", alpha=\"0.19\", expect_size=\"28380160\"] \n  25 -> 26 [size =\"28380160\"]\n  26 [size=\"39396693\", alpha=\"0.18\", expect_size=\"11819008\"] \n  26 -> 27 [size =\"11819008\"]\n  27 [size=\"165683200\", alpha=\"0.05\", expect_size=\"49704960\"] \n  27 -> 28 [size =\"49704960\"]\n  28 [size=\"78035627\", alpha=\"0.00\", expect_size=\"23410688\"] \n  28 -> 29 [size =\"23410688\"]\n  29 [size=\"107455147\", alpha=\"0.18\", expect_size=\"32236544\"] \n  29 -> 30 [size =\"32236544\"]\n  30 [size=\"100307627\", alpha=\"0.12\", expect_size=\"30092288\"] \n  30 -> 31 [size =\"30092288\"]\n  31 [size=\"60334080\", alpha=\"0.09\", expect_size=\"18100224\"] \n  31 -> 32 [size =\"18100224\"]\n  32 [size=\"147258027\", alpha=\"0.09\", expect_size=\"44177408\"] \n  32 -> 33 [size =\"44177408\"]\n  33 [size=\"115725653\", alpha=\"0.14\", expect_size=\"34717696\"] \n  33 -> 34 [size =\"34717696\"]\n  34 [size=\"143926613\", alpha=\"0.18\", expect_size=\"43177984\"] \n  34 -> 35 [size =\"43177984\"]\n  35 [size=\"59845973\", alpha=\"0.20\", expect_size=\"17953792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41863168\", alpha=\"0.07\", expect_size=\"20931584\"] \n  1 -> 2 [size =\"20931584\"]\n  2 [size=\"43184128\", alpha=\"0.01\", expect_size=\"21592064\"] \n  2 -> 3 [size =\"21592064\"]\n  3 [size=\"63086592\", alpha=\"0.07\", expect_size=\"31543296\"] \n  3 -> 4 [size =\"31543296\"]\n  4 [size=\"98588672\", alpha=\"0.12\", expect_size=\"49294336\"] \n  4 -> 5 [size =\"49294336\"]\n  5 [size=\"64659456\", alpha=\"0.19\", expect_size=\"32329728\"] \n  5 -> 6 [size =\"32329728\"]\n  6 [size=\"28225536\", alpha=\"0.12\", expect_size=\"14112768\"] \n  6 -> 7 [size =\"14112768\"]\n  7 [size=\"16132096\", alpha=\"0.04\", expect_size=\"8066048\"] \n  7 -> 8 [size =\"8066048\"]\n  8 [size=\"50747392\", alpha=\"0.04\", expect_size=\"25373696\"] \n  8 -> 9 [size =\"25373696\"]\n  9 [size=\"93296640\", alpha=\"0.12\", expect_size=\"46648320\"] \n  9 -> 10 [size =\"46648320\"]\n  10 [size=\"60807168\", alpha=\"0.10\", expect_size=\"30403584\"] \n  10 -> 11 [size =\"30403584\"]\n  11 [size=\"83935232\", alpha=\"0.09\", expect_size=\"41967616\"] \n  11 -> 12 [size =\"41967616\"]\n  12 [size=\"22345728\", alpha=\"0.01\", expect_size=\"11172864\"] \n  12 -> 13 [size =\"11172864\"]\n  13 [size=\"26734592\", alpha=\"0.04\", expect_size=\"13367296\"] \n  13 -> 14 [size =\"13367296\"]\n  14 [size=\"61327360\", alpha=\"0.18\", expect_size=\"30663680\"] \n  14 -> 15 [size =\"30663680\"]\n  15 [size=\"23441408\", alpha=\"0.09\", expect_size=\"11720704\"] \n  15 -> 16 [size =\"11720704\"]\n  16 [size=\"17430528\", alpha=\"0.19\", expect_size=\"8715264\"] \n  16 -> 17 [size =\"8715264\"]\n  17 [size=\"73299968\", alpha=\"0.04\", expect_size=\"36649984\"] \n  17 -> 18 [size =\"36649984\"]\n  18 [size=\"91238400\", alpha=\"0.09\", expect_size=\"45619200\"] \n  18 -> 19 [size =\"45619200\"]\n  19 [size=\"14616576\", alpha=\"0.07\", expect_size=\"7308288\"] \n  19 -> 20 [size =\"7308288\"]\n  20 [size=\"71473152\", alpha=\"0.05\", expect_size=\"35736576\"] \n  20 -> 21 [size =\"35736576\"]\n  21 [size=\"25911296\", alpha=\"0.09\", expect_size=\"12955648\"] \n  21 -> 22 [size =\"12955648\"]\n  22 [size=\"68691968\", alpha=\"0.20\", expect_size=\"34345984\"] \n  22 -> 23 [size =\"34345984\"]\n  23 [size=\"75497472\", alpha=\"0.02\", expect_size=\"37748736\"] \n  23 -> 24 [size =\"37748736\"]\n  24 [size=\"96008192\", alpha=\"0.03\", expect_size=\"48004096\"] \n  24 -> 25 [size =\"48004096\"]\n  25 [size=\"84977664\", alpha=\"0.15\", expect_size=\"42488832\"] \n  25 -> 26 [size =\"42488832\"]\n  26 [size=\"33505280\", alpha=\"0.12\", expect_size=\"16752640\"] \n  26 -> 27 [size =\"16752640\"]\n  27 [size=\"30066688\", alpha=\"0.09\", expect_size=\"15033344\"] \n  27 -> 28 [size =\"15033344\"]\n  28 [size=\"48742400\", alpha=\"0.15\", expect_size=\"24371200\"] \n  28 -> 29 [size =\"24371200\"]\n  29 [size=\"91490304\", alpha=\"0.18\", expect_size=\"45745152\"] \n  29 -> 30 [size =\"45745152\"]\n  30 [size=\"30646272\", alpha=\"0.12\", expect_size=\"15323136\"] \n  30 -> 31 [size =\"15323136\"]\n  31 [size=\"52436992\", alpha=\"0.02\", expect_size=\"26218496\"] \n  31 -> 32 [size =\"26218496\"]\n  32 [size=\"93870080\", alpha=\"0.14\", expect_size=\"46935040\"] \n  32 -> 33 [size =\"46935040\"]\n  33 [size=\"93267968\", alpha=\"0.10\", expect_size=\"46633984\"] \n  33 -> 34 [size =\"46633984\"]\n  34 [size=\"103235584\", alpha=\"0.16\", expect_size=\"51617792\"] \n  34 -> 35 [size =\"51617792\"]\n  35 [size=\"23132160\", alpha=\"0.05\", expect_size=\"11566080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25482240\", alpha=\"0.15\", expect_size=\"10192896\"] \n  2 [size=\"126609920\", alpha=\"0.02\", expect_size=\"50643968\"] \n  3 [size=\"106616320\", alpha=\"0.05\", expect_size=\"42646528\"] \n  3 -> 35 [size =\"42646528\"]\n  4 [size=\"113282560\", alpha=\"0.20\", expect_size=\"45313024\"] \n  4 -> 35 [size =\"45313024\"]\n  5 [size=\"72389120\", alpha=\"0.00\", expect_size=\"28955648\"] \n  5 -> 35 [size =\"28955648\"]\n  6 [size=\"64174080\", alpha=\"0.19\", expect_size=\"25669632\"] \n  6 -> 35 [size =\"25669632\"]\n  7 [size=\"81607680\", alpha=\"0.06\", expect_size=\"32643072\"] \n  8 [size=\"127047680\", alpha=\"0.06\", expect_size=\"50819072\"] \n  8 -> 35 [size =\"50819072\"]\n  9 [size=\"123786240\", alpha=\"0.13\", expect_size=\"49514496\"] \n  10 [size=\"104240640\", alpha=\"0.11\", expect_size=\"41696256\"] \n  10 -> 35 [size =\"41696256\"]\n  11 [size=\"63170560\", alpha=\"0.06\", expect_size=\"25268224\"] \n  12 [size=\"30932480\", alpha=\"0.02\", expect_size=\"12372992\"] \n  12 -> 35 [size =\"12372992\"]\n  13 [size=\"43130880\", alpha=\"0.09\", expect_size=\"17252352\"] \n  13 -> 35 [size =\"17252352\"]\n  14 [size=\"70149120\", alpha=\"0.02\", expect_size=\"28059648\"] \n  14 -> 35 [size =\"28059648\"]\n  15 [size=\"67642880\", alpha=\"0.05\", expect_size=\"27057152\"] \n  16 [size=\"67934720\", alpha=\"0.19\", expect_size=\"27173888\"] \n  16 -> 35 [size =\"27173888\"]\n  17 [size=\"60398080\", alpha=\"0.15\", expect_size=\"24159232\"] \n  18 [size=\"92912640\", alpha=\"0.16\", expect_size=\"37165056\"] \n  19 [size=\"131028480\", alpha=\"0.13\", expect_size=\"52411392\"] \n  20 [size=\"87741440\", alpha=\"0.16\", expect_size=\"35096576\"] \n  21 [size=\"35118080\", alpha=\"0.01\", expect_size=\"14047232\"] \n  21 -> 35 [size =\"14047232\"]\n  22 [size=\"68444160\", alpha=\"0.05\", expect_size=\"27377664\"] \n  22 -> 35 [size =\"27377664\"]\n  23 [size=\"80916480\", alpha=\"0.05\", expect_size=\"32366592\"] \n  24 [size=\"18726400\", alpha=\"0.02\", expect_size=\"7490560\"] \n  25 [size=\"29795840\", alpha=\"0.09\", expect_size=\"11918336\"] \n  26 [size=\"58480640\", alpha=\"0.05\", expect_size=\"23392256\"] \n  27 [size=\"54364160\", alpha=\"0.13\", expect_size=\"21745664\"] \n  27 -> 35 [size =\"21745664\"]\n  28 [size=\"22123520\", alpha=\"0.19\", expect_size=\"8849408\"] \n  28 -> 35 [size =\"8849408\"]\n  29 [size=\"114250240\", alpha=\"0.05\", expect_size=\"45700096\"] \n  29 -> 35 [size =\"45700096\"]\n  30 [size=\"74908160\", alpha=\"0.06\", expect_size=\"29963264\"] \n  30 -> 35 [size =\"29963264\"]\n  31 [size=\"52359680\", alpha=\"0.15\", expect_size=\"20943872\"] \n  31 -> 35 [size =\"20943872\"]\n  32 [size=\"58979840\", alpha=\"0.07\", expect_size=\"23591936\"] \n  32 -> 35 [size =\"23591936\"]\n  33 [size=\"90309120\", alpha=\"0.05\", expect_size=\"36123648\"] \n  33 -> 35 [size =\"36123648\"]\n  34 [size=\"121894400\", alpha=\"0.12\", expect_size=\"48757760\"] \n  34 -> 35 [size =\"48757760\"]\n  35 [size=\"17981440\", alpha=\"0.08\", expect_size=\"7192576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75728213\", alpha=\"0.04\", expect_size=\"22718464\"] \n  2 [size=\"19667627\", alpha=\"0.07\", expect_size=\"5900288\"] \n  2 -> 3 [size =\"5900288\"]\n  3 [size=\"139707733\", alpha=\"0.08\", expect_size=\"41912320\"] \n  3 -> 4 [size =\"41912320\"]\n  4 [size=\"76468907\", alpha=\"0.17\", expect_size=\"22940672\"] \n  4 -> 5 [size =\"22940672\"]\n  5 [size=\"109520213\", alpha=\"0.09\", expect_size=\"32856064\"] \n  5 -> 6 [size =\"32856064\"]\n  5 -> 7 [size =\"32856064\"]\n  6 [size=\"94365013\", alpha=\"0.03\", expect_size=\"28309504\"] \n  6 -> 9 [size =\"28309504\"]\n  7 [size=\"79155200\", alpha=\"0.08\", expect_size=\"23746560\"] \n  7 -> 8 [size =\"23746560\"]\n  8 [size=\"106270720\", alpha=\"0.10\", expect_size=\"31881216\"] \n  8 -> 11 [size =\"31881216\"]\n  9 [size=\"103881387\", alpha=\"0.07\", expect_size=\"31164416\"] \n  9 -> 10 [size =\"31164416\"]\n  9 -> 11 [size =\"31164416\"]\n  10 [size=\"97604267\", alpha=\"0.02\", expect_size=\"29281280\"] \n  10 -> 12 [size =\"29281280\"]\n  10 -> 13 [size =\"29281280\"]\n  11 [size=\"54111573\", alpha=\"0.16\", expect_size=\"16233472\"] \n  11 -> 13 [size =\"16233472\"]\n  12 [size=\"86439253\", alpha=\"0.01\", expect_size=\"25931776\"] \n  12 -> 14 [size =\"25931776\"]\n  13 [size=\"142161920\", alpha=\"0.17\", expect_size=\"42648576\"] \n  13 -> 15 [size =\"42648576\"]\n  14 [size=\"47107413\", alpha=\"0.06\", expect_size=\"14132224\"] \n  14 -> 17 [size =\"14132224\"]\n  15 [size=\"27023360\", alpha=\"0.03\", expect_size=\"8107008\"] \n  15 -> 16 [size =\"8107008\"]\n  16 [size=\"100239360\", alpha=\"0.10\", expect_size=\"30071808\"] \n  16 -> 18 [size =\"30071808\"]\n  17 [size=\"124941653\", alpha=\"0.08\", expect_size=\"37482496\"] \n  17 -> 18 [size =\"37482496\"]\n  18 [size=\"31013547\", alpha=\"0.05\", expect_size=\"9304064\"] \n  18 -> 19 [size =\"9304064\"]\n  19 [size=\"106915840\", alpha=\"0.12\", expect_size=\"32074752\"] \n  19 -> 20 [size =\"32074752\"]\n  19 -> 21 [size =\"32074752\"]\n  20 [size=\"161235627\", alpha=\"0.12\", expect_size=\"48370688\"] \n  20 -> 22 [size =\"48370688\"]\n  21 [size=\"19971413\", alpha=\"0.20\", expect_size=\"5991424\"] \n  22 [size=\"142571520\", alpha=\"0.08\", expect_size=\"42771456\"] \n  22 -> 23 [size =\"42771456\"]\n  22 -> 24 [size =\"42771456\"]\n  23 [size=\"151569067\", alpha=\"0.11\", expect_size=\"45470720\"] \n  24 [size=\"131266560\", alpha=\"0.02\", expect_size=\"39379968\"] \n  24 -> 25 [size =\"39379968\"]\n  24 -> 26 [size =\"39379968\"]\n  25 [size=\"24599893\", alpha=\"0.04\", expect_size=\"7379968\"] \n  25 -> 27 [size =\"7379968\"]\n  25 -> 28 [size =\"7379968\"]\n  26 [size=\"46810453\", alpha=\"0.16\", expect_size=\"14043136\"] \n  26 -> 27 [size =\"14043136\"]\n  26 -> 28 [size =\"14043136\"]\n  27 [size=\"126313813\", alpha=\"0.16\", expect_size=\"37894144\"] \n  27 -> 29 [size =\"37894144\"]\n  28 [size=\"32873813\", alpha=\"0.08\", expect_size=\"9862144\"] \n  28 -> 30 [size =\"9862144\"]\n  29 [size=\"69017600\", alpha=\"0.10\", expect_size=\"20705280\"] \n  29 -> 32 [size =\"20705280\"]\n  30 [size=\"166881280\", alpha=\"0.03\", expect_size=\"50064384\"] \n  30 -> 31 [size =\"50064384\"]\n  31 [size=\"107595093\", alpha=\"0.20\", expect_size=\"32278528\"] \n  32 [size=\"106700800\", alpha=\"0.06\", expect_size=\"32010240\"] \n  32 -> 33 [size =\"32010240\"]\n  32 -> 34 [size =\"32010240\"]\n  33 [size=\"166393173\", alpha=\"0.08\", expect_size=\"49917952\"] \n  33 -> 35 [size =\"49917952\"]\n  34 [size=\"94327467\", alpha=\"0.13\", expect_size=\"28298240\"] \n  35 [size=\"106786133\", alpha=\"0.20\", expect_size=\"32035840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109201920\", alpha=\"0.09\", expect_size=\"43680768\"] \n  1 -> 26 [size =\"43680768\"]\n  1 -> 29 [size =\"43680768\"]\n  1 -> 30 [size =\"43680768\"]\n  1 -> 33 [size =\"43680768\"]\n  1 -> 34 [size =\"43680768\"]\n  2 [size=\"53719040\", alpha=\"0.16\", expect_size=\"21487616\"] \n  2 -> 29 [size =\"21487616\"]\n  2 -> 32 [size =\"21487616\"]\n  2 -> 33 [size =\"21487616\"]\n  3 [size=\"14650880\", alpha=\"0.15\", expect_size=\"5860352\"] \n  3 -> 30 [size =\"5860352\"]\n  3 -> 32 [size =\"5860352\"]\n  4 [size=\"71467520\", alpha=\"0.14\", expect_size=\"28587008\"] \n  4 -> 27 [size =\"28587008\"]\n  4 -> 31 [size =\"28587008\"]\n  4 -> 32 [size =\"28587008\"]\n  4 -> 33 [size =\"28587008\"]\n  4 -> 35 [size =\"28587008\"]\n  5 [size=\"127096320\", alpha=\"0.14\", expect_size=\"50838528\"] \n  5 -> 27 [size =\"50838528\"]\n  5 -> 31 [size =\"50838528\"]\n  5 -> 32 [size =\"50838528\"]\n  6 [size=\"129482240\", alpha=\"0.02\", expect_size=\"51792896\"] \n  6 -> 30 [size =\"51792896\"]\n  6 -> 32 [size =\"51792896\"]\n  6 -> 33 [size =\"51792896\"]\n  6 -> 34 [size =\"51792896\"]\n  6 -> 35 [size =\"51792896\"]\n  7 [size=\"56250880\", alpha=\"0.12\", expect_size=\"22500352\"] \n  7 -> 26 [size =\"22500352\"]\n  7 -> 28 [size =\"22500352\"]\n  7 -> 30 [size =\"22500352\"]\n  7 -> 32 [size =\"22500352\"]\n  8 [size=\"65576960\", alpha=\"0.15\", expect_size=\"26230784\"] \n  8 -> 26 [size =\"26230784\"]\n  8 -> 27 [size =\"26230784\"]\n  8 -> 30 [size =\"26230784\"]\n  9 [size=\"103974400\", alpha=\"0.20\", expect_size=\"41589760\"] \n  9 -> 26 [size =\"41589760\"]\n  10 [size=\"15365120\", alpha=\"0.17\", expect_size=\"6146048\"] \n  10 -> 26 [size =\"6146048\"]\n  11 [size=\"109980160\", alpha=\"0.17\", expect_size=\"43992064\"] \n  11 -> 26 [size =\"43992064\"]\n  11 -> 30 [size =\"43992064\"]\n  11 -> 31 [size =\"43992064\"]\n  11 -> 32 [size =\"43992064\"]\n  11 -> 33 [size =\"43992064\"]\n  11 -> 35 [size =\"43992064\"]\n  12 [size=\"46315520\", alpha=\"0.12\", expect_size=\"18526208\"] \n  12 -> 30 [size =\"18526208\"]\n  12 -> 32 [size =\"18526208\"]\n  12 -> 33 [size =\"18526208\"]\n  12 -> 35 [size =\"18526208\"]\n  13 [size=\"20428800\", alpha=\"0.07\", expect_size=\"8171520\"] \n  13 -> 26 [size =\"8171520\"]\n  13 -> 28 [size =\"8171520\"]\n  13 -> 30 [size =\"8171520\"]\n  13 -> 31 [size =\"8171520\"]\n  13 -> 35 [size =\"8171520\"]\n  14 [size=\"110489600\", alpha=\"0.01\", expect_size=\"44195840\"] \n  14 -> 32 [size =\"44195840\"]\n  14 -> 35 [size =\"44195840\"]\n  15 [size=\"72962560\", alpha=\"0.01\", expect_size=\"29185024\"] \n  15 -> 26 [size =\"29185024\"]\n  15 -> 29 [size =\"29185024\"]\n  15 -> 31 [size =\"29185024\"]\n  15 -> 35 [size =\"29185024\"]\n  16 [size=\"40448000\", alpha=\"0.01\", expect_size=\"16179200\"] \n  16 -> 30 [size =\"16179200\"]\n  16 -> 33 [size =\"16179200\"]\n  17 [size=\"49689600\", alpha=\"0.00\", expect_size=\"19875840\"] \n  17 -> 29 [size =\"19875840\"]\n  17 -> 34 [size =\"19875840\"]\n  18 [size=\"118241280\", alpha=\"0.10\", expect_size=\"47296512\"] \n  18 -> 33 [size =\"47296512\"]\n  18 -> 34 [size =\"47296512\"]\n  19 [size=\"86853120\", alpha=\"0.13\", expect_size=\"34741248\"] \n  19 -> 27 [size =\"34741248\"]\n  19 -> 33 [size =\"34741248\"]\n  19 -> 34 [size =\"34741248\"]\n  19 -> 35 [size =\"34741248\"]\n  20 [size=\"86376960\", alpha=\"0.05\", expect_size=\"34550784\"] \n  20 -> 28 [size =\"34550784\"]\n  20 -> 34 [size =\"34550784\"]\n  20 -> 34 [size =\"34550784\"]\n  20 -> 35 [size =\"34550784\"]\n  21 [size=\"68615680\", alpha=\"0.13\", expect_size=\"27446272\"] \n  21 -> 27 [size =\"27446272\"]\n  21 -> 30 [size =\"27446272\"]\n  21 -> 33 [size =\"27446272\"]\n  21 -> 34 [size =\"27446272\"]\n  22 [size=\"51806720\", alpha=\"0.09\", expect_size=\"20722688\"] \n  22 -> 27 [size =\"20722688\"]\n  22 -> 30 [size =\"20722688\"]\n  22 -> 31 [size =\"20722688\"]\n  22 -> 34 [size =\"20722688\"]\n  23 [size=\"125388800\", alpha=\"0.04\", expect_size=\"50155520\"] \n  23 -> 26 [size =\"50155520\"]\n  23 -> 29 [size =\"50155520\"]\n  23 -> 33 [size =\"50155520\"]\n  23 -> 34 [size =\"50155520\"]\n  23 -> 35 [size =\"50155520\"]\n  24 [size=\"46164480\", alpha=\"0.10\", expect_size=\"18465792\"] \n  24 -> 26 [size =\"18465792\"]\n  24 -> 30 [size =\"18465792\"]\n  24 -> 33 [size =\"18465792\"]\n  24 -> 34 [size =\"18465792\"]\n  24 -> 35 [size =\"18465792\"]\n  25 [size=\"52469760\", alpha=\"0.14\", expect_size=\"20987904\"] \n  25 -> 32 [size =\"20987904\"]\n  25 -> 34 [size =\"20987904\"]\n  25 -> 35 [size =\"20987904\"]\n  26 [size=\"57190400\", alpha=\"0.19\", expect_size=\"22876160\"] \n  27 [size=\"61148160\", alpha=\"0.11\", expect_size=\"24459264\"] \n  28 [size=\"62407680\", alpha=\"0.11\", expect_size=\"24963072\"] \n  29 [size=\"119247360\", alpha=\"0.07\", expect_size=\"47698944\"] \n  30 [size=\"77660160\", alpha=\"0.04\", expect_size=\"31064064\"] \n  31 [size=\"107328000\", alpha=\"0.17\", expect_size=\"42931200\"] \n  32 [size=\"68418560\", alpha=\"0.15\", expect_size=\"27367424\"] \n  33 [size=\"119508480\", alpha=\"0.15\", expect_size=\"47803392\"] \n  34 [size=\"26214400\", alpha=\"0.11\", expect_size=\"10485760\"] \n  35 [size=\"82826240\", alpha=\"0.18\", expect_size=\"33130496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87852373\", alpha=\"0.03\", expect_size=\"26355712\"] \n  1 -> 3 [size =\"26355712\"]\n  1 -> 4 [size =\"26355712\"]\n  2 [size=\"159976107\", alpha=\"0.03\", expect_size=\"47992832\"] \n  2 -> 3 [size =\"47992832\"]\n  2 -> 4 [size =\"47992832\"]\n  3 [size=\"144063147\", alpha=\"0.07\", expect_size=\"43218944\"] \n  3 -> 5 [size =\"43218944\"]\n  4 [size=\"120582827\", alpha=\"0.15\", expect_size=\"36174848\"] \n  5 [size=\"114472960\", alpha=\"0.10\", expect_size=\"34341888\"] \n  5 -> 6 [size =\"34341888\"]\n  5 -> 7 [size =\"34341888\"]\n  6 [size=\"47854933\", alpha=\"0.06\", expect_size=\"14356480\"] \n  6 -> 9 [size =\"14356480\"]\n  7 [size=\"63692800\", alpha=\"0.07\", expect_size=\"19107840\"] \n  7 -> 8 [size =\"19107840\"]\n  8 [size=\"30184107\", alpha=\"0.13\", expect_size=\"9055232\"] \n  8 -> 11 [size =\"9055232\"]\n  9 [size=\"151869440\", alpha=\"0.05\", expect_size=\"45560832\"] \n  9 -> 10 [size =\"45560832\"]\n  9 -> 11 [size =\"45560832\"]\n  10 [size=\"71669760\", alpha=\"0.18\", expect_size=\"21500928\"] \n  10 -> 12 [size =\"21500928\"]\n  10 -> 13 [size =\"21500928\"]\n  11 [size=\"73021440\", alpha=\"0.03\", expect_size=\"21906432\"] \n  11 -> 12 [size =\"21906432\"]\n  12 [size=\"99328000\", alpha=\"0.07\", expect_size=\"29798400\"] \n  12 -> 14 [size =\"29798400\"]\n  12 -> 15 [size =\"29798400\"]\n  13 [size=\"119203840\", alpha=\"0.06\", expect_size=\"35761152\"] \n  14 [size=\"171680427\", alpha=\"0.02\", expect_size=\"51504128\"] \n  14 -> 17 [size =\"51504128\"]\n  15 [size=\"133614933\", alpha=\"0.11\", expect_size=\"40084480\"] \n  15 -> 16 [size =\"40084480\"]\n  15 -> 17 [size =\"40084480\"]\n  16 [size=\"54568960\", alpha=\"0.15\", expect_size=\"16370688\"] \n  16 -> 18 [size =\"16370688\"]\n  17 [size=\"101901653\", alpha=\"0.03\", expect_size=\"30570496\"] \n  18 [size=\"155272533\", alpha=\"0.03\", expect_size=\"46581760\"] \n  18 -> 19 [size =\"46581760\"]\n  19 [size=\"102147413\", alpha=\"0.06\", expect_size=\"30644224\"] \n  19 -> 20 [size =\"30644224\"]\n  20 [size=\"144609280\", alpha=\"0.12\", expect_size=\"43382784\"] \n  20 -> 21 [size =\"43382784\"]\n  20 -> 22 [size =\"43382784\"]\n  21 [size=\"125887147\", alpha=\"0.07\", expect_size=\"37766144\"] \n  21 -> 23 [size =\"37766144\"]\n  22 [size=\"151128747\", alpha=\"0.01\", expect_size=\"45338624\"] \n  22 -> 23 [size =\"45338624\"]\n  22 -> 24 [size =\"45338624\"]\n  23 [size=\"51817813\", alpha=\"0.10\", expect_size=\"15545344\"] \n  23 -> 25 [size =\"15545344\"]\n  24 [size=\"102420480\", alpha=\"0.12\", expect_size=\"30726144\"] \n  24 -> 25 [size =\"30726144\"]\n  25 [size=\"121890133\", alpha=\"0.07\", expect_size=\"36567040\"] \n  25 -> 26 [size =\"36567040\"]\n  25 -> 27 [size =\"36567040\"]\n  26 [size=\"50240853\", alpha=\"0.06\", expect_size=\"15072256\"] \n  27 [size=\"164802560\", alpha=\"0.10\", expect_size=\"49440768\"] \n  27 -> 28 [size =\"49440768\"]\n  28 [size=\"27736747\", alpha=\"0.17\", expect_size=\"8321024\"] \n  28 -> 29 [size =\"8321024\"]\n  28 -> 30 [size =\"8321024\"]\n  29 [size=\"47701333\", alpha=\"0.20\", expect_size=\"14310400\"] \n  30 [size=\"94098773\", alpha=\"0.10\", expect_size=\"28229632\"] \n  30 -> 31 [size =\"28229632\"]\n  31 [size=\"31996587\", alpha=\"0.07\", expect_size=\"9598976\"] \n  31 -> 32 [size =\"9598976\"]\n  32 [size=\"89060693\", alpha=\"0.15\", expect_size=\"26718208\"] \n  32 -> 33 [size =\"26718208\"]\n  32 -> 34 [size =\"26718208\"]\n  33 [size=\"93214720\", alpha=\"0.15\", expect_size=\"27964416\"] \n  33 -> 35 [size =\"27964416\"]\n  34 [size=\"171048960\", alpha=\"0.16\", expect_size=\"51314688\"] \n  34 -> 35 [size =\"51314688\"]\n  35 [size=\"111104000\", alpha=\"0.10\", expect_size=\"33331200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22646784\", alpha=\"0.06\", expect_size=\"11323392\"] \n  1 -> 8 [size =\"11323392\"]\n  2 [size=\"88274944\", alpha=\"0.06\", expect_size=\"44137472\"] \n  2 -> 7 [size =\"44137472\"]\n  2 -> 8 [size =\"44137472\"]\n  3 [size=\"53557248\", alpha=\"0.02\", expect_size=\"26778624\"] \n  3 -> 9 [size =\"26778624\"]\n  3 -> 10 [size =\"26778624\"]\n  4 [size=\"59873280\", alpha=\"0.08\", expect_size=\"29936640\"] \n  4 -> 6 [size =\"29936640\"]\n  4 -> 9 [size =\"29936640\"]\n  4 -> 10 [size =\"29936640\"]\n  5 [size=\"59592704\", alpha=\"0.10\", expect_size=\"29796352\"] \n  5 -> 7 [size =\"29796352\"]\n  5 -> 8 [size =\"29796352\"]\n  5 -> 9 [size =\"29796352\"]\n  6 [size=\"76439552\", alpha=\"0.04\", expect_size=\"38219776\"] \n  6 -> 11 [size =\"38219776\"]\n  6 -> 13 [size =\"38219776\"]\n  6 -> 14 [size =\"38219776\"]\n  6 -> 16 [size =\"38219776\"]\n  6 -> 17 [size =\"38219776\"]\n  7 [size=\"76922880\", alpha=\"0.04\", expect_size=\"38461440\"] \n  7 -> 11 [size =\"38461440\"]\n  7 -> 13 [size =\"38461440\"]\n  7 -> 14 [size =\"38461440\"]\n  8 [size=\"25939968\", alpha=\"0.15\", expect_size=\"12969984\"] \n  8 -> 11 [size =\"12969984\"]\n  8 -> 12 [size =\"12969984\"]\n  8 -> 13 [size =\"12969984\"]\n  8 -> 14 [size =\"12969984\"]\n  8 -> 17 [size =\"12969984\"]\n  9 [size=\"85534720\", alpha=\"0.08\", expect_size=\"42767360\"] \n  9 -> 12 [size =\"42767360\"]\n  9 -> 14 [size =\"42767360\"]\n  9 -> 15 [size =\"42767360\"]\n  9 -> 17 [size =\"42767360\"]\n  10 [size=\"22523904\", alpha=\"0.18\", expect_size=\"11261952\"] \n  10 -> 11 [size =\"11261952\"]\n  10 -> 12 [size =\"11261952\"]\n  11 [size=\"57944064\", alpha=\"0.06\", expect_size=\"28972032\"] \n  11 -> 18 [size =\"28972032\"]\n  11 -> 19 [size =\"28972032\"]\n  11 -> 20 [size =\"28972032\"]\n  12 [size=\"85125120\", alpha=\"0.07\", expect_size=\"42562560\"] \n  12 -> 18 [size =\"42562560\"]\n  12 -> 19 [size =\"42562560\"]\n  12 -> 20 [size =\"42562560\"]\n  12 -> 21 [size =\"42562560\"]\n  13 [size=\"18325504\", alpha=\"0.05\", expect_size=\"9162752\"] \n  13 -> 18 [size =\"9162752\"]\n  13 -> 20 [size =\"9162752\"]\n  13 -> 22 [size =\"9162752\"]\n  14 [size=\"27353088\", alpha=\"0.03\", expect_size=\"13676544\"] \n  14 -> 20 [size =\"13676544\"]\n  15 [size=\"66201600\", alpha=\"0.15\", expect_size=\"33100800\"] \n  15 -> 18 [size =\"33100800\"]\n  15 -> 20 [size =\"33100800\"]\n  15 -> 21 [size =\"33100800\"]\n  16 [size=\"18853888\", alpha=\"0.03\", expect_size=\"9426944\"] \n  16 -> 19 [size =\"9426944\"]\n  16 -> 21 [size =\"9426944\"]\n  16 -> 21 [size =\"9426944\"]\n  17 [size=\"38320128\", alpha=\"0.15\", expect_size=\"19160064\"] \n  18 [size=\"56950784\", alpha=\"0.12\", expect_size=\"28475392\"] \n  18 -> 23 [size =\"28475392\"]\n  18 -> 24 [size =\"28475392\"]\n  18 -> 25 [size =\"28475392\"]\n  18 -> 26 [size =\"28475392\"]\n  19 [size=\"35313664\", alpha=\"0.07\", expect_size=\"17656832\"] \n  19 -> 26 [size =\"17656832\"]\n  20 [size=\"75198464\", alpha=\"0.09\", expect_size=\"37599232\"] \n  20 -> 25 [size =\"37599232\"]\n  20 -> 26 [size =\"37599232\"]\n  21 [size=\"67205120\", alpha=\"0.13\", expect_size=\"33602560\"] \n  21 -> 25 [size =\"33602560\"]\n  22 [size=\"94990336\", alpha=\"0.13\", expect_size=\"47495168\"] \n  22 -> 25 [size =\"47495168\"]\n  23 [size=\"31596544\", alpha=\"0.03\", expect_size=\"15798272\"] \n  23 -> 28 [size =\"15798272\"]\n  23 -> 29 [size =\"15798272\"]\n  24 [size=\"54378496\", alpha=\"0.03\", expect_size=\"27189248\"] \n  25 [size=\"66662400\", alpha=\"0.13\", expect_size=\"33331200\"] \n  25 -> 27 [size =\"33331200\"]\n  26 [size=\"40835072\", alpha=\"0.17\", expect_size=\"20417536\"] \n  26 -> 27 [size =\"20417536\"]\n  26 -> 29 [size =\"20417536\"]\n  27 [size=\"56805376\", alpha=\"0.16\", expect_size=\"28402688\"] \n  27 -> 30 [size =\"28402688\"]\n  27 -> 32 [size =\"28402688\"]\n  28 [size=\"32356352\", alpha=\"0.18\", expect_size=\"16178176\"] \n  28 -> 33 [size =\"16178176\"]\n  29 [size=\"88496128\", alpha=\"0.15\", expect_size=\"44248064\"] \n  29 -> 31 [size =\"44248064\"]\n  29 -> 32 [size =\"44248064\"]\n  29 -> 33 [size =\"44248064\"]\n  30 [size=\"29243392\", alpha=\"0.16\", expect_size=\"14621696\"] \n  30 -> 34 [size =\"14621696\"]\n  31 [size=\"70705152\", alpha=\"0.06\", expect_size=\"35352576\"] \n  32 [size=\"36298752\", alpha=\"0.12\", expect_size=\"18149376\"] \n  32 -> 35 [size =\"18149376\"]\n  33 [size=\"98185216\", alpha=\"0.20\", expect_size=\"49092608\"] \n  33 -> 34 [size =\"49092608\"]\n  33 -> 35 [size =\"49092608\"]\n  34 [size=\"16322560\", alpha=\"0.11\", expect_size=\"8161280\"] \n  35 [size=\"28844032\", alpha=\"0.14\", expect_size=\"14422016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46750720\", alpha=\"0.14\", expect_size=\"18700288\"] \n  1 -> 15 [size =\"18700288\"]\n  1 -> 22 [size =\"18700288\"]\n  1 -> 26 [size =\"18700288\"]\n  1 -> 29 [size =\"18700288\"]\n  2 [size=\"37440000\", alpha=\"0.15\", expect_size=\"14976000\"] \n  2 -> 18 [size =\"14976000\"]\n  2 -> 22 [size =\"14976000\"]\n  3 [size=\"76613120\", alpha=\"0.13\", expect_size=\"30645248\"] \n  3 -> 15 [size =\"30645248\"]\n  3 -> 16 [size =\"30645248\"]\n  3 -> 20 [size =\"30645248\"]\n  3 -> 22 [size =\"30645248\"]\n  3 -> 23 [size =\"30645248\"]\n  3 -> 25 [size =\"30645248\"]\n  3 -> 27 [size =\"30645248\"]\n  4 [size=\"51353600\", alpha=\"0.09\", expect_size=\"20541440\"] \n  4 -> 23 [size =\"20541440\"]\n  4 -> 24 [size =\"20541440\"]\n  4 -> 28 [size =\"20541440\"]\n  5 [size=\"50585600\", alpha=\"0.11\", expect_size=\"20234240\"] \n  5 -> 22 [size =\"20234240\"]\n  5 -> 28 [size =\"20234240\"]\n  6 [size=\"43499520\", alpha=\"0.13\", expect_size=\"17399808\"] \n  6 -> 17 [size =\"17399808\"]\n  6 -> 28 [size =\"17399808\"]\n  7 [size=\"34769920\", alpha=\"0.18\", expect_size=\"13907968\"] \n  7 -> 15 [size =\"13907968\"]\n  7 -> 20 [size =\"13907968\"]\n  7 -> 23 [size =\"13907968\"]\n  7 -> 29 [size =\"13907968\"]\n  8 [size=\"57582080\", alpha=\"0.12\", expect_size=\"23032832\"] \n  8 -> 15 [size =\"23032832\"]\n  8 -> 20 [size =\"23032832\"]\n  8 -> 23 [size =\"23032832\"]\n  8 -> 24 [size =\"23032832\"]\n  8 -> 27 [size =\"23032832\"]\n  9 [size=\"123136000\", alpha=\"0.05\", expect_size=\"49254400\"] \n  9 -> 21 [size =\"49254400\"]\n  9 -> 28 [size =\"49254400\"]\n  10 [size=\"78023680\", alpha=\"0.04\", expect_size=\"31209472\"] \n  10 -> 15 [size =\"31209472\"]\n  10 -> 24 [size =\"31209472\"]\n  10 -> 28 [size =\"31209472\"]\n  11 [size=\"80583680\", alpha=\"0.18\", expect_size=\"32233472\"] \n  11 -> 15 [size =\"32233472\"]\n  11 -> 18 [size =\"32233472\"]\n  11 -> 20 [size =\"32233472\"]\n  11 -> 21 [size =\"32233472\"]\n  11 -> 25 [size =\"32233472\"]\n  11 -> 29 [size =\"32233472\"]\n  12 [size=\"47969280\", alpha=\"0.07\", expect_size=\"19187712\"] \n  12 -> 16 [size =\"19187712\"]\n  12 -> 20 [size =\"19187712\"]\n  12 -> 21 [size =\"19187712\"]\n  12 -> 23 [size =\"19187712\"]\n  12 -> 24 [size =\"19187712\"]\n  12 -> 28 [size =\"19187712\"]\n  13 [size=\"16163840\", alpha=\"0.03\", expect_size=\"6465536\"] \n  13 -> 19 [size =\"6465536\"]\n  13 -> 22 [size =\"6465536\"]\n  13 -> 23 [size =\"6465536\"]\n  13 -> 24 [size =\"6465536\"]\n  13 -> 24 [size =\"6465536\"]\n  14 [size=\"91302400\", alpha=\"0.11\", expect_size=\"36520960\"] \n  14 -> 15 [size =\"36520960\"]\n  14 -> 22 [size =\"36520960\"]\n  14 -> 26 [size =\"36520960\"]\n  15 [size=\"23656960\", alpha=\"0.10\", expect_size=\"9462784\"] \n  15 -> 34 [size =\"9462784\"]\n  15 -> 35 [size =\"9462784\"]\n  16 [size=\"86952960\", alpha=\"0.04\", expect_size=\"34781184\"] \n  16 -> 31 [size =\"34781184\"]\n  17 [size=\"45327360\", alpha=\"0.12\", expect_size=\"18130944\"] \n  17 -> 30 [size =\"18130944\"]\n  17 -> 32 [size =\"18130944\"]\n  18 [size=\"35898880\", alpha=\"0.15\", expect_size=\"14359552\"] \n  18 -> 32 [size =\"14359552\"]\n  18 -> 32 [size =\"14359552\"]\n  19 [size=\"106534400\", alpha=\"0.12\", expect_size=\"42613760\"] \n  19 -> 31 [size =\"42613760\"]\n  19 -> 33 [size =\"42613760\"]\n  20 [size=\"19514880\", alpha=\"0.05\", expect_size=\"7805952\"] \n  20 -> 35 [size =\"7805952\"]\n  21 [size=\"44853760\", alpha=\"0.03\", expect_size=\"17941504\"] \n  21 -> 31 [size =\"17941504\"]\n  22 [size=\"34119680\", alpha=\"0.06\", expect_size=\"13647872\"] \n  22 -> 33 [size =\"13647872\"]\n  23 [size=\"77411840\", alpha=\"0.19\", expect_size=\"30964736\"] \n  23 -> 30 [size =\"30964736\"]\n  23 -> 31 [size =\"30964736\"]\n  23 -> 33 [size =\"30964736\"]\n  23 -> 34 [size =\"30964736\"]\n  23 -> 35 [size =\"30964736\"]\n  24 [size=\"96893440\", alpha=\"0.19\", expect_size=\"38757376\"] \n  24 -> 30 [size =\"38757376\"]\n  25 [size=\"43842560\", alpha=\"0.05\", expect_size=\"17537024\"] \n  25 -> 31 [size =\"17537024\"]\n  25 -> 32 [size =\"17537024\"]\n  26 [size=\"102407680\", alpha=\"0.17\", expect_size=\"40963072\"] \n  26 -> 31 [size =\"40963072\"]\n  26 -> 32 [size =\"40963072\"]\n  26 -> 33 [size =\"40963072\"]\n  27 [size=\"127948800\", alpha=\"0.12\", expect_size=\"51179520\"] \n  27 -> 30 [size =\"51179520\"]\n  27 -> 34 [size =\"51179520\"]\n  28 [size=\"81003520\", alpha=\"0.15\", expect_size=\"32401408\"] \n  28 -> 30 [size =\"32401408\"]\n  28 -> 31 [size =\"32401408\"]\n  28 -> 33 [size =\"32401408\"]\n  28 -> 34 [size =\"32401408\"]\n  29 [size=\"50887680\", alpha=\"0.16\", expect_size=\"20355072\"] \n  29 -> 31 [size =\"20355072\"]\n  29 -> 32 [size =\"20355072\"]\n  29 -> 33 [size =\"20355072\"]\n  29 -> 34 [size =\"20355072\"]\n  29 -> 35 [size =\"20355072\"]\n  30 [size=\"121699840\", alpha=\"0.08\", expect_size=\"48679936\"] \n  31 [size=\"32076800\", alpha=\"0.12\", expect_size=\"12830720\"] \n  32 [size=\"51586560\", alpha=\"0.01\", expect_size=\"20634624\"] \n  33 [size=\"86602240\", alpha=\"0.11\", expect_size=\"34640896\"] \n  34 [size=\"82670080\", alpha=\"0.15\", expect_size=\"33068032\"] \n  35 [size=\"78033920\", alpha=\"0.00\", expect_size=\"31213568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150446080\", alpha=\"0.16\", expect_size=\"45133824\"] \n  1 -> 6 [size =\"45133824\"]\n  1 -> 8 [size =\"45133824\"]\n  2 [size=\"90699093\", alpha=\"0.20\", expect_size=\"27209728\"] \n  2 -> 6 [size =\"27209728\"]\n  2 -> 7 [size =\"27209728\"]\n  2 -> 8 [size =\"27209728\"]\n  3 [size=\"82834773\", alpha=\"0.06\", expect_size=\"24850432\"] \n  3 -> 8 [size =\"24850432\"]\n  4 [size=\"28815360\", alpha=\"0.11\", expect_size=\"8644608\"] \n  4 -> 6 [size =\"8644608\"]\n  4 -> 7 [size =\"8644608\"]\n  4 -> 9 [size =\"8644608\"]\n  5 [size=\"64723627\", alpha=\"0.16\", expect_size=\"19417088\"] \n  5 -> 6 [size =\"19417088\"]\n  5 -> 7 [size =\"19417088\"]\n  5 -> 8 [size =\"19417088\"]\n  5 -> 9 [size =\"19417088\"]\n  6 [size=\"44653227\", alpha=\"0.02\", expect_size=\"13395968\"] \n  6 -> 10 [size =\"13395968\"]\n  6 -> 12 [size =\"13395968\"]\n  6 -> 14 [size =\"13395968\"]\n  7 [size=\"22398293\", alpha=\"0.11\", expect_size=\"6719488\"] \n  7 -> 11 [size =\"6719488\"]\n  7 -> 14 [size =\"6719488\"]\n  8 [size=\"160003413\", alpha=\"0.01\", expect_size=\"48001024\"] \n  8 -> 12 [size =\"48001024\"]\n  8 -> 13 [size =\"48001024\"]\n  9 [size=\"47165440\", alpha=\"0.00\", expect_size=\"14149632\"] \n  9 -> 11 [size =\"14149632\"]\n  9 -> 12 [size =\"14149632\"]\n  10 [size=\"136386560\", alpha=\"0.19\", expect_size=\"40915968\"] \n  10 -> 15 [size =\"40915968\"]\n  10 -> 17 [size =\"40915968\"]\n  11 [size=\"66286933\", alpha=\"0.03\", expect_size=\"19886080\"] \n  11 -> 17 [size =\"19886080\"]\n  11 -> 18 [size =\"19886080\"]\n  12 [size=\"38744747\", alpha=\"0.16\", expect_size=\"11623424\"] \n  12 -> 17 [size =\"11623424\"]\n  12 -> 19 [size =\"11623424\"]\n  13 [size=\"38492160\", alpha=\"0.01\", expect_size=\"11547648\"] \n  13 -> 16 [size =\"11547648\"]\n  13 -> 19 [size =\"11547648\"]\n  14 [size=\"89036800\", alpha=\"0.14\", expect_size=\"26711040\"] \n  14 -> 15 [size =\"26711040\"]\n  14 -> 16 [size =\"26711040\"]\n  15 [size=\"19592533\", alpha=\"0.10\", expect_size=\"5877760\"] \n  15 -> 20 [size =\"5877760\"]\n  15 -> 21 [size =\"5877760\"]\n  15 -> 22 [size =\"5877760\"]\n  15 -> 23 [size =\"5877760\"]\n  15 -> 24 [size =\"5877760\"]\n  16 [size=\"146862080\", alpha=\"0.17\", expect_size=\"44058624\"] \n  17 [size=\"166239573\", alpha=\"0.14\", expect_size=\"49871872\"] \n  17 -> 22 [size =\"49871872\"]\n  18 [size=\"98157227\", alpha=\"0.00\", expect_size=\"29447168\"] \n  18 -> 20 [size =\"29447168\"]\n  18 -> 21 [size =\"29447168\"]\n  18 -> 22 [size =\"29447168\"]\n  18 -> 23 [size =\"29447168\"]\n  19 [size=\"109728427\", alpha=\"0.19\", expect_size=\"32918528\"] \n  19 -> 20 [size =\"32918528\"]\n  19 -> 21 [size =\"32918528\"]\n  19 -> 22 [size =\"32918528\"]\n  19 -> 23 [size =\"32918528\"]\n  20 [size=\"110547627\", alpha=\"0.01\", expect_size=\"33164288\"] \n  21 [size=\"101229227\", alpha=\"0.20\", expect_size=\"30368768\"] \n  21 -> 26 [size =\"30368768\"]\n  22 [size=\"125893973\", alpha=\"0.08\", expect_size=\"37768192\"] \n  22 -> 25 [size =\"37768192\"]\n  22 -> 27 [size =\"37768192\"]\n  23 [size=\"93385387\", alpha=\"0.05\", expect_size=\"28015616\"] \n  23 -> 28 [size =\"28015616\"]\n  24 [size=\"99894613\", alpha=\"0.03\", expect_size=\"29968384\"] \n  24 -> 26 [size =\"29968384\"]\n  25 [size=\"52428800\", alpha=\"0.07\", expect_size=\"15728640\"] \n  25 -> 29 [size =\"15728640\"]\n  25 -> 30 [size =\"15728640\"]\n  25 -> 31 [size =\"15728640\"]\n  25 -> 32 [size =\"15728640\"]\n  25 -> 33 [size =\"15728640\"]\n  26 [size=\"131860480\", alpha=\"0.14\", expect_size=\"39558144\"] \n  26 -> 32 [size =\"39558144\"]\n  27 [size=\"109527040\", alpha=\"0.02\", expect_size=\"32858112\"] \n  27 -> 29 [size =\"32858112\"]\n  27 -> 30 [size =\"32858112\"]\n  27 -> 32 [size =\"32858112\"]\n  27 -> 33 [size =\"32858112\"]\n  28 [size=\"62477653\", alpha=\"0.09\", expect_size=\"18743296\"] \n  28 -> 29 [size =\"18743296\"]\n  28 -> 30 [size =\"18743296\"]\n  28 -> 31 [size =\"18743296\"]\n  28 -> 33 [size =\"18743296\"]\n  29 [size=\"63269547\", alpha=\"0.19\", expect_size=\"18980864\"] \n  29 -> 34 [size =\"18980864\"]\n  29 -> 35 [size =\"18980864\"]\n  30 [size=\"53698560\", alpha=\"0.04\", expect_size=\"16109568\"] \n  30 -> 35 [size =\"16109568\"]\n  31 [size=\"60289707\", alpha=\"0.15\", expect_size=\"18086912\"] \n  32 [size=\"58729813\", alpha=\"0.09\", expect_size=\"17618944\"] \n  32 -> 35 [size =\"17618944\"]\n  33 [size=\"122241707\", alpha=\"0.06\", expect_size=\"36672512\"] \n  33 -> 34 [size =\"36672512\"]\n  34 [size=\"158904320\", alpha=\"0.12\", expect_size=\"47671296\"] \n  35 [size=\"22763520\", alpha=\"0.18\", expect_size=\"6829056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33204224\", alpha=\"0.19\", expect_size=\"16602112\"] \n  1 -> 18 [size =\"16602112\"]\n  1 -> 23 [size =\"16602112\"]\n  1 -> 24 [size =\"16602112\"]\n  1 -> 28 [size =\"16602112\"]\n  1 -> 30 [size =\"16602112\"]\n  2 [size=\"68714496\", alpha=\"0.13\", expect_size=\"34357248\"] \n  2 -> 18 [size =\"34357248\"]\n  2 -> 21 [size =\"34357248\"]\n  2 -> 24 [size =\"34357248\"]\n  2 -> 27 [size =\"34357248\"]\n  2 -> 31 [size =\"34357248\"]\n  2 -> 33 [size =\"34357248\"]\n  3 [size=\"101525504\", alpha=\"0.17\", expect_size=\"50762752\"] \n  3 -> 18 [size =\"50762752\"]\n  3 -> 19 [size =\"50762752\"]\n  3 -> 20 [size =\"50762752\"]\n  3 -> 26 [size =\"50762752\"]\n  3 -> 27 [size =\"50762752\"]\n  3 -> 29 [size =\"50762752\"]\n  3 -> 33 [size =\"50762752\"]\n  4 [size=\"38748160\", alpha=\"0.12\", expect_size=\"19374080\"] \n  4 -> 18 [size =\"19374080\"]\n  4 -> 19 [size =\"19374080\"]\n  4 -> 20 [size =\"19374080\"]\n  4 -> 22 [size =\"19374080\"]\n  4 -> 26 [size =\"19374080\"]\n  5 [size=\"96462848\", alpha=\"0.14\", expect_size=\"48231424\"] \n  5 -> 19 [size =\"48231424\"]\n  5 -> 19 [size =\"48231424\"]\n  5 -> 22 [size =\"48231424\"]\n  5 -> 23 [size =\"48231424\"]\n  5 -> 27 [size =\"48231424\"]\n  5 -> 31 [size =\"48231424\"]\n  6 [size=\"21379072\", alpha=\"0.18\", expect_size=\"10689536\"] \n  6 -> 18 [size =\"10689536\"]\n  6 -> 20 [size =\"10689536\"]\n  6 -> 29 [size =\"10689536\"]\n  6 -> 30 [size =\"10689536\"]\n  6 -> 32 [size =\"10689536\"]\n  6 -> 35 [size =\"10689536\"]\n  7 [size=\"101351424\", alpha=\"0.05\", expect_size=\"50675712\"] \n  7 -> 28 [size =\"50675712\"]\n  7 -> 31 [size =\"50675712\"]\n  7 -> 32 [size =\"50675712\"]\n  8 [size=\"98834432\", alpha=\"0.02\", expect_size=\"49417216\"] \n  8 -> 19 [size =\"49417216\"]\n  8 -> 20 [size =\"49417216\"]\n  8 -> 21 [size =\"49417216\"]\n  8 -> 25 [size =\"49417216\"]\n  8 -> 26 [size =\"49417216\"]\n  8 -> 29 [size =\"49417216\"]\n  8 -> 30 [size =\"49417216\"]\n  9 [size=\"102578176\", alpha=\"0.05\", expect_size=\"51289088\"] \n  9 -> 18 [size =\"51289088\"]\n  9 -> 19 [size =\"51289088\"]\n  9 -> 20 [size =\"51289088\"]\n  9 -> 23 [size =\"51289088\"]\n  9 -> 24 [size =\"51289088\"]\n  9 -> 25 [size =\"51289088\"]\n  9 -> 27 [size =\"51289088\"]\n  9 -> 28 [size =\"51289088\"]\n  9 -> 29 [size =\"51289088\"]\n  9 -> 30 [size =\"51289088\"]\n  9 -> 33 [size =\"51289088\"]\n  10 [size=\"16457728\", alpha=\"0.10\", expect_size=\"8228864\"] \n  10 -> 19 [size =\"8228864\"]\n  10 -> 20 [size =\"8228864\"]\n  10 -> 21 [size =\"8228864\"]\n  10 -> 23 [size =\"8228864\"]\n  10 -> 24 [size =\"8228864\"]\n  10 -> 26 [size =\"8228864\"]\n  10 -> 28 [size =\"8228864\"]\n  10 -> 29 [size =\"8228864\"]\n  10 -> 29 [size =\"8228864\"]\n  10 -> 32 [size =\"8228864\"]\n  11 [size=\"74379264\", alpha=\"0.11\", expect_size=\"37189632\"] \n  11 -> 23 [size =\"37189632\"]\n  11 -> 24 [size =\"37189632\"]\n  11 -> 26 [size =\"37189632\"]\n  11 -> 27 [size =\"37189632\"]\n  11 -> 29 [size =\"37189632\"]\n  11 -> 31 [size =\"37189632\"]\n  12 [size=\"68812800\", alpha=\"0.05\", expect_size=\"34406400\"] \n  12 -> 18 [size =\"34406400\"]\n  12 -> 21 [size =\"34406400\"]\n  12 -> 24 [size =\"34406400\"]\n  12 -> 26 [size =\"34406400\"]\n  13 [size=\"35854336\", alpha=\"0.02\", expect_size=\"17927168\"] \n  13 -> 20 [size =\"17927168\"]\n  13 -> 21 [size =\"17927168\"]\n  13 -> 23 [size =\"17927168\"]\n  13 -> 27 [size =\"17927168\"]\n  13 -> 29 [size =\"17927168\"]\n  13 -> 30 [size =\"17927168\"]\n  13 -> 34 [size =\"17927168\"]\n  14 [size=\"21794816\", alpha=\"0.01\", expect_size=\"10897408\"] \n  14 -> 20 [size =\"10897408\"]\n  15 [size=\"79362048\", alpha=\"0.05\", expect_size=\"39681024\"] \n  15 -> 18 [size =\"39681024\"]\n  15 -> 19 [size =\"39681024\"]\n  15 -> 20 [size =\"39681024\"]\n  15 -> 21 [size =\"39681024\"]\n  15 -> 25 [size =\"39681024\"]\n  15 -> 29 [size =\"39681024\"]\n  15 -> 32 [size =\"39681024\"]\n  16 [size=\"50448384\", alpha=\"0.06\", expect_size=\"25224192\"] \n  16 -> 20 [size =\"25224192\"]\n  16 -> 23 [size =\"25224192\"]\n  16 -> 26 [size =\"25224192\"]\n  16 -> 32 [size =\"25224192\"]\n  17 [size=\"40286208\", alpha=\"0.14\", expect_size=\"20143104\"] \n  17 -> 19 [size =\"20143104\"]\n  17 -> 24 [size =\"20143104\"]\n  17 -> 26 [size =\"20143104\"]\n  17 -> 31 [size =\"20143104\"]\n  18 [size=\"61634560\", alpha=\"0.01\", expect_size=\"30817280\"] \n  19 [size=\"70567936\", alpha=\"0.06\", expect_size=\"35283968\"] \n  20 [size=\"95744000\", alpha=\"0.17\", expect_size=\"47872000\"] \n  21 [size=\"47792128\", alpha=\"0.13\", expect_size=\"23896064\"] \n  22 [size=\"101220352\", alpha=\"0.01\", expect_size=\"50610176\"] \n  23 [size=\"28243968\", alpha=\"0.09\", expect_size=\"14121984\"] \n  24 [size=\"39178240\", alpha=\"0.02\", expect_size=\"19589120\"] \n  25 [size=\"44812288\", alpha=\"0.14\", expect_size=\"22406144\"] \n  26 [size=\"66811904\", alpha=\"0.08\", expect_size=\"33405952\"] \n  27 [size=\"93636608\", alpha=\"0.02\", expect_size=\"46818304\"] \n  28 [size=\"66228224\", alpha=\"0.14\", expect_size=\"33114112\"] \n  29 [size=\"69505024\", alpha=\"0.05\", expect_size=\"34752512\"] \n  30 [size=\"96411648\", alpha=\"0.18\", expect_size=\"48205824\"] \n  31 [size=\"81524736\", alpha=\"0.05\", expect_size=\"40762368\"] \n  32 [size=\"47562752\", alpha=\"0.03\", expect_size=\"23781376\"] \n  33 [size=\"52754432\", alpha=\"0.07\", expect_size=\"26377216\"] \n  34 [size=\"93769728\", alpha=\"0.14\", expect_size=\"46884864\"] \n  35 [size=\"104499200\", alpha=\"0.15\", expect_size=\"52249600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17561600\", alpha=\"0.07\", expect_size=\"8780800\"] \n  1 -> 6 [size =\"8780800\"]\n  1 -> 8 [size =\"8780800\"]\n  1 -> 9 [size =\"8780800\"]\n  2 [size=\"22026240\", alpha=\"0.04\", expect_size=\"11013120\"] \n  2 -> 8 [size =\"11013120\"]\n  3 [size=\"47562752\", alpha=\"0.01\", expect_size=\"23781376\"] \n  3 -> 7 [size =\"23781376\"]\n  3 -> 8 [size =\"23781376\"]\n  3 -> 9 [size =\"23781376\"]\n  4 [size=\"23898112\", alpha=\"0.04\", expect_size=\"11949056\"] \n  4 -> 7 [size =\"11949056\"]\n  4 -> 10 [size =\"11949056\"]\n  5 [size=\"20404224\", alpha=\"0.13\", expect_size=\"10202112\"] \n  5 -> 6 [size =\"10202112\"]\n  5 -> 9 [size =\"10202112\"]\n  5 -> 10 [size =\"10202112\"]\n  6 [size=\"74199040\", alpha=\"0.11\", expect_size=\"37099520\"] \n  6 -> 11 [size =\"37099520\"]\n  6 -> 13 [size =\"37099520\"]\n  6 -> 14 [size =\"37099520\"]\n  7 [size=\"47396864\", alpha=\"0.09\", expect_size=\"23698432\"] \n  7 -> 14 [size =\"23698432\"]\n  8 [size=\"75177984\", alpha=\"0.08\", expect_size=\"37588992\"] \n  8 -> 11 [size =\"37588992\"]\n  8 -> 12 [size =\"37588992\"]\n  8 -> 13 [size =\"37588992\"]\n  9 [size=\"69367808\", alpha=\"0.02\", expect_size=\"34683904\"] \n  9 -> 14 [size =\"34683904\"]\n  10 [size=\"51183616\", alpha=\"0.10\", expect_size=\"25591808\"] \n  10 -> 13 [size =\"25591808\"]\n  11 [size=\"73711616\", alpha=\"0.01\", expect_size=\"36855808\"] \n  11 -> 16 [size =\"36855808\"]\n  12 [size=\"14022656\", alpha=\"0.06\", expect_size=\"7011328\"] \n  12 -> 15 [size =\"7011328\"]\n  13 [size=\"33904640\", alpha=\"0.18\", expect_size=\"16952320\"] \n  13 -> 16 [size =\"16952320\"]\n  13 -> 17 [size =\"16952320\"]\n  13 -> 18 [size =\"16952320\"]\n  14 [size=\"38961152\", alpha=\"0.06\", expect_size=\"19480576\"] \n  14 -> 16 [size =\"19480576\"]\n  14 -> 19 [size =\"19480576\"]\n  15 [size=\"58994688\", alpha=\"0.17\", expect_size=\"29497344\"] \n  16 [size=\"23853056\", alpha=\"0.13\", expect_size=\"11926528\"] \n  16 -> 22 [size =\"11926528\"]\n  17 [size=\"75622400\", alpha=\"0.15\", expect_size=\"37811200\"] \n  17 -> 20 [size =\"37811200\"]\n  17 -> 21 [size =\"37811200\"]\n  17 -> 22 [size =\"37811200\"]\n  17 -> 23 [size =\"37811200\"]\n  18 [size=\"23392256\", alpha=\"0.01\", expect_size=\"11696128\"] \n  18 -> 24 [size =\"11696128\"]\n  19 [size=\"59990016\", alpha=\"0.14\", expect_size=\"29995008\"] \n  19 -> 21 [size =\"29995008\"]\n  19 -> 22 [size =\"29995008\"]\n  20 [size=\"69578752\", alpha=\"0.08\", expect_size=\"34789376\"] \n  20 -> 25 [size =\"34789376\"]\n  21 [size=\"20836352\", alpha=\"0.03\", expect_size=\"10418176\"] \n  22 [size=\"24735744\", alpha=\"0.01\", expect_size=\"12367872\"] \n  22 -> 25 [size =\"12367872\"]\n  22 -> 26 [size =\"12367872\"]\n  23 [size=\"51826688\", alpha=\"0.07\", expect_size=\"25913344\"] \n  23 -> 25 [size =\"25913344\"]\n  23 -> 26 [size =\"25913344\"]\n  24 [size=\"40409088\", alpha=\"0.15\", expect_size=\"20204544\"] \n  24 -> 26 [size =\"20204544\"]\n  24 -> 27 [size =\"20204544\"]\n  24 -> 28 [size =\"20204544\"]\n  25 [size=\"70230016\", alpha=\"0.06\", expect_size=\"35115008\"] \n  25 -> 29 [size =\"35115008\"]\n  25 -> 31 [size =\"35115008\"]\n  26 [size=\"55996416\", alpha=\"0.10\", expect_size=\"27998208\"] \n  26 -> 30 [size =\"27998208\"]\n  26 -> 31 [size =\"27998208\"]\n  26 -> 32 [size =\"27998208\"]\n  27 [size=\"21356544\", alpha=\"0.02\", expect_size=\"10678272\"] \n  27 -> 30 [size =\"10678272\"]\n  28 [size=\"94373888\", alpha=\"0.07\", expect_size=\"47186944\"] \n  28 -> 29 [size =\"47186944\"]\n  28 -> 31 [size =\"47186944\"]\n  28 -> 32 [size =\"47186944\"]\n  29 [size=\"100237312\", alpha=\"0.05\", expect_size=\"50118656\"] \n  29 -> 33 [size =\"50118656\"]\n  29 -> 34 [size =\"50118656\"]\n  30 [size=\"71573504\", alpha=\"0.12\", expect_size=\"35786752\"] \n  30 -> 33 [size =\"35786752\"]\n  30 -> 35 [size =\"35786752\"]\n  31 [size=\"13873152\", alpha=\"0.12\", expect_size=\"6936576\"] \n  32 [size=\"28583936\", alpha=\"0.13\", expect_size=\"14291968\"] \n  32 -> 34 [size =\"14291968\"]\n  33 [size=\"32874496\", alpha=\"0.19\", expect_size=\"16437248\"] \n  34 [size=\"63823872\", alpha=\"0.11\", expect_size=\"31911936\"] \n  35 [size=\"40472576\", alpha=\"0.13\", expect_size=\"20236288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32706560\", alpha=\"0.15\", expect_size=\"16353280\"] \n  1 -> 2 [size =\"16353280\"]\n  2 [size=\"16297984\", alpha=\"0.19\", expect_size=\"8148992\"] \n  2 -> 3 [size =\"8148992\"]\n  3 [size=\"52477952\", alpha=\"0.10\", expect_size=\"26238976\"] \n  3 -> 4 [size =\"26238976\"]\n  4 [size=\"34609152\", alpha=\"0.00\", expect_size=\"17304576\"] \n  4 -> 5 [size =\"17304576\"]\n  5 [size=\"73545728\", alpha=\"0.06\", expect_size=\"36772864\"] \n  5 -> 6 [size =\"36772864\"]\n  6 [size=\"29288448\", alpha=\"0.09\", expect_size=\"14644224\"] \n  6 -> 7 [size =\"14644224\"]\n  7 [size=\"31873024\", alpha=\"0.14\", expect_size=\"15936512\"] \n  7 -> 8 [size =\"15936512\"]\n  8 [size=\"31883264\", alpha=\"0.04\", expect_size=\"15941632\"] \n  8 -> 9 [size =\"15941632\"]\n  9 [size=\"90681344\", alpha=\"0.04\", expect_size=\"45340672\"] \n  9 -> 10 [size =\"45340672\"]\n  10 [size=\"69836800\", alpha=\"0.03\", expect_size=\"34918400\"] \n  10 -> 11 [size =\"34918400\"]\n  11 [size=\"34983936\", alpha=\"0.12\", expect_size=\"17491968\"] \n  11 -> 12 [size =\"17491968\"]\n  12 [size=\"104028160\", alpha=\"0.05\", expect_size=\"52014080\"] \n  12 -> 13 [size =\"52014080\"]\n  13 [size=\"99774464\", alpha=\"0.06\", expect_size=\"49887232\"] \n  13 -> 14 [size =\"49887232\"]\n  14 [size=\"52455424\", alpha=\"0.05\", expect_size=\"26227712\"] \n  14 -> 15 [size =\"26227712\"]\n  15 [size=\"52828160\", alpha=\"0.07\", expect_size=\"26414080\"] \n  15 -> 16 [size =\"26414080\"]\n  16 [size=\"83042304\", alpha=\"0.04\", expect_size=\"41521152\"] \n  16 -> 17 [size =\"41521152\"]\n  17 [size=\"31426560\", alpha=\"0.09\", expect_size=\"15713280\"] \n  17 -> 18 [size =\"15713280\"]\n  18 [size=\"96098304\", alpha=\"0.10\", expect_size=\"48049152\"] \n  18 -> 19 [size =\"48049152\"]\n  19 [size=\"20971520\", alpha=\"0.17\", expect_size=\"10485760\"] \n  19 -> 20 [size =\"10485760\"]\n  20 [size=\"40640512\", alpha=\"0.15\", expect_size=\"20320256\"] \n  20 -> 21 [size =\"20320256\"]\n  21 [size=\"55781376\", alpha=\"0.18\", expect_size=\"27890688\"] \n  21 -> 22 [size =\"27890688\"]\n  22 [size=\"18804736\", alpha=\"0.02\", expect_size=\"9402368\"] \n  22 -> 23 [size =\"9402368\"]\n  23 [size=\"41181184\", alpha=\"0.15\", expect_size=\"20590592\"] \n  23 -> 24 [size =\"20590592\"]\n  24 [size=\"70105088\", alpha=\"0.13\", expect_size=\"35052544\"] \n  24 -> 25 [size =\"35052544\"]\n  25 [size=\"93272064\", alpha=\"0.05\", expect_size=\"46636032\"] \n  25 -> 26 [size =\"46636032\"]\n  26 [size=\"31696896\", alpha=\"0.01\", expect_size=\"15848448\"] \n  26 -> 27 [size =\"15848448\"]\n  27 [size=\"49692672\", alpha=\"0.01\", expect_size=\"24846336\"] \n  27 -> 28 [size =\"24846336\"]\n  28 [size=\"91322368\", alpha=\"0.05\", expect_size=\"45661184\"] \n  28 -> 29 [size =\"45661184\"]\n  29 [size=\"43249664\", alpha=\"0.07\", expect_size=\"21624832\"] \n  29 -> 30 [size =\"21624832\"]\n  30 [size=\"28139520\", alpha=\"0.01\", expect_size=\"14069760\"] \n  30 -> 31 [size =\"14069760\"]\n  31 [size=\"99067904\", alpha=\"0.00\", expect_size=\"49533952\"] \n  31 -> 32 [size =\"49533952\"]\n  32 [size=\"89516032\", alpha=\"0.20\", expect_size=\"44758016\"] \n  32 -> 33 [size =\"44758016\"]\n  33 [size=\"99663872\", alpha=\"0.18\", expect_size=\"49831936\"] \n  33 -> 34 [size =\"49831936\"]\n  34 [size=\"77135872\", alpha=\"0.05\", expect_size=\"38567936\"] \n  34 -> 35 [size =\"38567936\"]\n  35 [size=\"46055424\", alpha=\"0.01\", expect_size=\"23027712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63318016\", alpha=\"0.11\", expect_size=\"31659008\"] \n  1 -> 25 [size =\"31659008\"]\n  1 -> 26 [size =\"31659008\"]\n  1 -> 31 [size =\"31659008\"]\n  1 -> 35 [size =\"31659008\"]\n  2 [size=\"52537344\", alpha=\"0.08\", expect_size=\"26268672\"] \n  2 -> 33 [size =\"26268672\"]\n  3 [size=\"86149120\", alpha=\"0.08\", expect_size=\"43074560\"] \n  3 -> 25 [size =\"43074560\"]\n  3 -> 28 [size =\"43074560\"]\n  3 -> 29 [size =\"43074560\"]\n  4 [size=\"36478976\", alpha=\"0.18\", expect_size=\"18239488\"] \n  4 -> 25 [size =\"18239488\"]\n  4 -> 33 [size =\"18239488\"]\n  5 [size=\"92182528\", alpha=\"0.16\", expect_size=\"46091264\"] \n  5 -> 24 [size =\"46091264\"]\n  5 -> 25 [size =\"46091264\"]\n  5 -> 32 [size =\"46091264\"]\n  5 -> 35 [size =\"46091264\"]\n  6 [size=\"29968384\", alpha=\"0.07\", expect_size=\"14984192\"] \n  6 -> 25 [size =\"14984192\"]\n  6 -> 31 [size =\"14984192\"]\n  6 -> 32 [size =\"14984192\"]\n  7 [size=\"48492544\", alpha=\"0.19\", expect_size=\"24246272\"] \n  7 -> 25 [size =\"24246272\"]\n  7 -> 28 [size =\"24246272\"]\n  7 -> 30 [size =\"24246272\"]\n  7 -> 31 [size =\"24246272\"]\n  7 -> 32 [size =\"24246272\"]\n  7 -> 35 [size =\"24246272\"]\n  8 [size=\"73603072\", alpha=\"0.19\", expect_size=\"36801536\"] \n  8 -> 24 [size =\"36801536\"]\n  8 -> 25 [size =\"36801536\"]\n  8 -> 27 [size =\"36801536\"]\n  8 -> 28 [size =\"36801536\"]\n  8 -> 29 [size =\"36801536\"]\n  8 -> 31 [size =\"36801536\"]\n  8 -> 32 [size =\"36801536\"]\n  9 [size=\"33175552\", alpha=\"0.06\", expect_size=\"16587776\"] \n  9 -> 27 [size =\"16587776\"]\n  9 -> 29 [size =\"16587776\"]\n  9 -> 31 [size =\"16587776\"]\n  9 -> 32 [size =\"16587776\"]\n  9 -> 33 [size =\"16587776\"]\n  10 [size=\"100345856\", alpha=\"0.14\", expect_size=\"50172928\"] \n  10 -> 29 [size =\"50172928\"]\n  10 -> 31 [size =\"50172928\"]\n  10 -> 31 [size =\"50172928\"]\n  10 -> 34 [size =\"50172928\"]\n  11 [size=\"14645248\", alpha=\"0.04\", expect_size=\"7322624\"] \n  11 -> 28 [size =\"7322624\"]\n  11 -> 35 [size =\"7322624\"]\n  12 [size=\"66041856\", alpha=\"0.00\", expect_size=\"33020928\"] \n  12 -> 26 [size =\"33020928\"]\n  12 -> 27 [size =\"33020928\"]\n  12 -> 28 [size =\"33020928\"]\n  12 -> 29 [size =\"33020928\"]\n  12 -> 30 [size =\"33020928\"]\n  12 -> 34 [size =\"33020928\"]\n  13 [size=\"11315200\", alpha=\"0.08\", expect_size=\"5657600\"] \n  13 -> 31 [size =\"5657600\"]\n  13 -> 33 [size =\"5657600\"]\n  13 -> 35 [size =\"5657600\"]\n  14 [size=\"49702912\", alpha=\"0.06\", expect_size=\"24851456\"] \n  14 -> 29 [size =\"24851456\"]\n  14 -> 30 [size =\"24851456\"]\n  14 -> 31 [size =\"24851456\"]\n  14 -> 33 [size =\"24851456\"]\n  14 -> 35 [size =\"24851456\"]\n  15 [size=\"42094592\", alpha=\"0.14\", expect_size=\"21047296\"] \n  15 -> 24 [size =\"21047296\"]\n  15 -> 29 [size =\"21047296\"]\n  16 [size=\"21508096\", alpha=\"0.09\", expect_size=\"10754048\"] \n  17 [size=\"55662592\", alpha=\"0.04\", expect_size=\"27831296\"] \n  17 -> 25 [size =\"27831296\"]\n  17 -> 26 [size =\"27831296\"]\n  17 -> 28 [size =\"27831296\"]\n  17 -> 29 [size =\"27831296\"]\n  17 -> 30 [size =\"27831296\"]\n  17 -> 33 [size =\"27831296\"]\n  17 -> 34 [size =\"27831296\"]\n  18 [size=\"50163712\", alpha=\"0.08\", expect_size=\"25081856\"] \n  18 -> 25 [size =\"25081856\"]\n  18 -> 26 [size =\"25081856\"]\n  18 -> 29 [size =\"25081856\"]\n  18 -> 30 [size =\"25081856\"]\n  19 [size=\"47276032\", alpha=\"0.07\", expect_size=\"23638016\"] \n  19 -> 25 [size =\"23638016\"]\n  19 -> 26 [size =\"23638016\"]\n  20 [size=\"77598720\", alpha=\"0.12\", expect_size=\"38799360\"] \n  21 [size=\"49037312\", alpha=\"0.09\", expect_size=\"24518656\"] \n  21 -> 27 [size =\"24518656\"]\n  21 -> 31 [size =\"24518656\"]\n  21 -> 35 [size =\"24518656\"]\n  22 [size=\"67284992\", alpha=\"0.14\", expect_size=\"33642496\"] \n  22 -> 28 [size =\"33642496\"]\n  22 -> 32 [size =\"33642496\"]\n  23 [size=\"69328896\", alpha=\"0.16\", expect_size=\"34664448\"] \n  23 -> 25 [size =\"34664448\"]\n  23 -> 29 [size =\"34664448\"]\n  23 -> 31 [size =\"34664448\"]\n  24 [size=\"14710784\", alpha=\"0.03\", expect_size=\"7355392\"] \n  25 [size=\"40785920\", alpha=\"0.07\", expect_size=\"20392960\"] \n  26 [size=\"13613056\", alpha=\"0.16\", expect_size=\"6806528\"] \n  27 [size=\"54077440\", alpha=\"0.12\", expect_size=\"27038720\"] \n  28 [size=\"71794688\", alpha=\"0.02\", expect_size=\"35897344\"] \n  29 [size=\"15265792\", alpha=\"0.17\", expect_size=\"7632896\"] \n  30 [size=\"47124480\", alpha=\"0.11\", expect_size=\"23562240\"] \n  31 [size=\"104409088\", alpha=\"0.05\", expect_size=\"52204544\"] \n  32 [size=\"51210240\", alpha=\"0.12\", expect_size=\"25605120\"] \n  33 [size=\"23955456\", alpha=\"0.18\", expect_size=\"11977728\"] \n  34 [size=\"98306048\", alpha=\"0.13\", expect_size=\"49153024\"] \n  35 [size=\"17141760\", alpha=\"0.15\", expect_size=\"8570880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46352384\", alpha=\"0.08\", expect_size=\"23176192\"] \n  1 -> 2 [size =\"23176192\"]\n  1 -> 3 [size =\"23176192\"]\n  2 [size=\"69326848\", alpha=\"0.09\", expect_size=\"34663424\"] \n  2 -> 5 [size =\"34663424\"]\n  3 [size=\"13979648\", alpha=\"0.11\", expect_size=\"6989824\"] \n  3 -> 4 [size =\"6989824\"]\n  3 -> 5 [size =\"6989824\"]\n  4 [size=\"99905536\", alpha=\"0.04\", expect_size=\"49952768\"] \n  4 -> 6 [size =\"49952768\"]\n  4 -> 7 [size =\"49952768\"]\n  5 [size=\"90826752\", alpha=\"0.04\", expect_size=\"45413376\"] \n  5 -> 6 [size =\"45413376\"]\n  6 [size=\"43612160\", alpha=\"0.16\", expect_size=\"21806080\"] \n  6 -> 8 [size =\"21806080\"]\n  6 -> 9 [size =\"21806080\"]\n  7 [size=\"35430400\", alpha=\"0.18\", expect_size=\"17715200\"] \n  7 -> 8 [size =\"17715200\"]\n  7 -> 9 [size =\"17715200\"]\n  8 [size=\"36206592\", alpha=\"0.05\", expect_size=\"18103296\"] \n  8 -> 10 [size =\"18103296\"]\n  8 -> 11 [size =\"18103296\"]\n  9 [size=\"48250880\", alpha=\"0.07\", expect_size=\"24125440\"] \n  9 -> 10 [size =\"24125440\"]\n  9 -> 11 [size =\"24125440\"]\n  10 [size=\"16619520\", alpha=\"0.04\", expect_size=\"8309760\"] \n  11 [size=\"94246912\", alpha=\"0.06\", expect_size=\"47123456\"] \n  11 -> 12 [size =\"47123456\"]\n  12 [size=\"37468160\", alpha=\"0.02\", expect_size=\"18734080\"] \n  12 -> 13 [size =\"18734080\"]\n  13 [size=\"81893376\", alpha=\"0.11\", expect_size=\"40946688\"] \n  13 -> 14 [size =\"40946688\"]\n  13 -> 15 [size =\"40946688\"]\n  14 [size=\"40019968\", alpha=\"0.13\", expect_size=\"20009984\"] \n  14 -> 16 [size =\"20009984\"]\n  14 -> 17 [size =\"20009984\"]\n  15 [size=\"57352192\", alpha=\"0.13\", expect_size=\"28676096\"] \n  15 -> 17 [size =\"28676096\"]\n  16 [size=\"78426112\", alpha=\"0.11\", expect_size=\"39213056\"] \n  16 -> 18 [size =\"39213056\"]\n  17 [size=\"57589760\", alpha=\"0.10\", expect_size=\"28794880\"] \n  17 -> 19 [size =\"28794880\"]\n  18 [size=\"50149376\", alpha=\"0.06\", expect_size=\"25074688\"] \n  18 -> 20 [size =\"25074688\"]\n  19 [size=\"74412032\", alpha=\"0.16\", expect_size=\"37206016\"] \n  19 -> 20 [size =\"37206016\"]\n  20 [size=\"11870208\", alpha=\"0.07\", expect_size=\"5935104\"] \n  20 -> 21 [size =\"5935104\"]\n  21 [size=\"28573696\", alpha=\"0.05\", expect_size=\"14286848\"] \n  21 -> 22 [size =\"14286848\"]\n  22 [size=\"58404864\", alpha=\"0.16\", expect_size=\"29202432\"] \n  22 -> 23 [size =\"29202432\"]\n  22 -> 24 [size =\"29202432\"]\n  23 [size=\"68171776\", alpha=\"0.07\", expect_size=\"34085888\"] \n  23 -> 25 [size =\"34085888\"]\n  24 [size=\"26339328\", alpha=\"0.17\", expect_size=\"13169664\"] \n  24 -> 25 [size =\"13169664\"]\n  25 [size=\"89126912\", alpha=\"0.05\", expect_size=\"44563456\"] \n  25 -> 26 [size =\"44563456\"]\n  26 [size=\"56064000\", alpha=\"0.19\", expect_size=\"28032000\"] \n  26 -> 27 [size =\"28032000\"]\n  26 -> 28 [size =\"28032000\"]\n  27 [size=\"11999232\", alpha=\"0.19\", expect_size=\"5999616\"] \n  27 -> 29 [size =\"5999616\"]\n  28 [size=\"59152384\", alpha=\"0.04\", expect_size=\"29576192\"] \n  28 -> 29 [size =\"29576192\"]\n  29 [size=\"87093248\", alpha=\"0.17\", expect_size=\"43546624\"] \n  29 -> 30 [size =\"43546624\"]\n  29 -> 31 [size =\"43546624\"]\n  30 [size=\"68700160\", alpha=\"0.12\", expect_size=\"34350080\"] \n  30 -> 32 [size =\"34350080\"]\n  31 [size=\"100337664\", alpha=\"0.04\", expect_size=\"50168832\"] \n  31 -> 32 [size =\"50168832\"]\n  32 [size=\"29130752\", alpha=\"0.02\", expect_size=\"14565376\"] \n  32 -> 33 [size =\"14565376\"]\n  32 -> 34 [size =\"14565376\"]\n  33 [size=\"102662144\", alpha=\"0.15\", expect_size=\"51331072\"] \n  34 [size=\"41314304\", alpha=\"0.14\", expect_size=\"20657152\"] \n  34 -> 35 [size =\"20657152\"]\n  35 [size=\"28876800\", alpha=\"0.03\", expect_size=\"14438400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104204800\", alpha=\"0.06\", expect_size=\"41681920\"] \n  1 -> 14 [size =\"41681920\"]\n  1 -> 15 [size =\"41681920\"]\n  1 -> 19 [size =\"41681920\"]\n  1 -> 20 [size =\"41681920\"]\n  1 -> 22 [size =\"41681920\"]\n  1 -> 23 [size =\"41681920\"]\n  2 [size=\"44623360\", alpha=\"0.00\", expect_size=\"17849344\"] \n  2 -> 12 [size =\"17849344\"]\n  2 -> 13 [size =\"17849344\"]\n  2 -> 14 [size =\"17849344\"]\n  2 -> 15 [size =\"17849344\"]\n  2 -> 18 [size =\"17849344\"]\n  2 -> 19 [size =\"17849344\"]\n  2 -> 21 [size =\"17849344\"]\n  2 -> 23 [size =\"17849344\"]\n  3 [size=\"99417600\", alpha=\"0.08\", expect_size=\"39767040\"] \n  3 -> 13 [size =\"39767040\"]\n  3 -> 14 [size =\"39767040\"]\n  3 -> 15 [size =\"39767040\"]\n  3 -> 17 [size =\"39767040\"]\n  3 -> 18 [size =\"39767040\"]\n  3 -> 23 [size =\"39767040\"]\n  4 [size=\"66429440\", alpha=\"0.16\", expect_size=\"26571776\"] \n  4 -> 19 [size =\"26571776\"]\n  4 -> 20 [size =\"26571776\"]\n  4 -> 21 [size =\"26571776\"]\n  5 [size=\"103226880\", alpha=\"0.15\", expect_size=\"41290752\"] \n  5 -> 11 [size =\"41290752\"]\n  5 -> 12 [size =\"41290752\"]\n  5 -> 16 [size =\"41290752\"]\n  5 -> 20 [size =\"41290752\"]\n  5 -> 21 [size =\"41290752\"]\n  5 -> 22 [size =\"41290752\"]\n  6 [size=\"128337920\", alpha=\"0.03\", expect_size=\"51335168\"] \n  6 -> 11 [size =\"51335168\"]\n  6 -> 16 [size =\"51335168\"]\n  6 -> 19 [size =\"51335168\"]\n  6 -> 20 [size =\"51335168\"]\n  6 -> 22 [size =\"51335168\"]\n  7 [size=\"67381760\", alpha=\"0.13\", expect_size=\"26952704\"] \n  7 -> 11 [size =\"26952704\"]\n  7 -> 13 [size =\"26952704\"]\n  7 -> 15 [size =\"26952704\"]\n  7 -> 16 [size =\"26952704\"]\n  7 -> 20 [size =\"26952704\"]\n  7 -> 21 [size =\"26952704\"]\n  8 [size=\"26334720\", alpha=\"0.11\", expect_size=\"10533888\"] \n  8 -> 11 [size =\"10533888\"]\n  8 -> 13 [size =\"10533888\"]\n  8 -> 16 [size =\"10533888\"]\n  8 -> 19 [size =\"10533888\"]\n  8 -> 20 [size =\"10533888\"]\n  8 -> 21 [size =\"10533888\"]\n  8 -> 22 [size =\"10533888\"]\n  8 -> 23 [size =\"10533888\"]\n  9 [size=\"36044800\", alpha=\"0.04\", expect_size=\"14417920\"] \n  9 -> 11 [size =\"14417920\"]\n  9 -> 13 [size =\"14417920\"]\n  9 -> 14 [size =\"14417920\"]\n  9 -> 19 [size =\"14417920\"]\n  9 -> 20 [size =\"14417920\"]\n  9 -> 22 [size =\"14417920\"]\n  10 [size=\"37145600\", alpha=\"0.18\", expect_size=\"14858240\"] \n  10 -> 11 [size =\"14858240\"]\n  10 -> 13 [size =\"14858240\"]\n  10 -> 14 [size =\"14858240\"]\n  10 -> 15 [size =\"14858240\"]\n  10 -> 16 [size =\"14858240\"]\n  10 -> 19 [size =\"14858240\"]\n  10 -> 21 [size =\"14858240\"]\n  11 [size=\"127216640\", alpha=\"0.04\", expect_size=\"50886656\"] \n  11 -> 29 [size =\"50886656\"]\n  11 -> 32 [size =\"50886656\"]\n  11 -> 33 [size =\"50886656\"]\n  11 -> 35 [size =\"50886656\"]\n  12 [size=\"47083520\", alpha=\"0.06\", expect_size=\"18833408\"] \n  12 -> 24 [size =\"18833408\"]\n  12 -> 34 [size =\"18833408\"]\n  12 -> 35 [size =\"18833408\"]\n  12 -> 35 [size =\"18833408\"]\n  13 [size=\"48729600\", alpha=\"0.05\", expect_size=\"19491840\"] \n  13 -> 26 [size =\"19491840\"]\n  13 -> 27 [size =\"19491840\"]\n  13 -> 30 [size =\"19491840\"]\n  14 [size=\"97274880\", alpha=\"0.17\", expect_size=\"38909952\"] \n  14 -> 26 [size =\"38909952\"]\n  14 -> 33 [size =\"38909952\"]\n  14 -> 34 [size =\"38909952\"]\n  15 [size=\"75875840\", alpha=\"0.17\", expect_size=\"30350336\"] \n  15 -> 26 [size =\"30350336\"]\n  15 -> 30 [size =\"30350336\"]\n  16 [size=\"46110720\", alpha=\"0.07\", expect_size=\"18444288\"] \n  16 -> 26 [size =\"18444288\"]\n  16 -> 28 [size =\"18444288\"]\n  16 -> 32 [size =\"18444288\"]\n  16 -> 34 [size =\"18444288\"]\n  17 [size=\"66603520\", alpha=\"0.02\", expect_size=\"26641408\"] \n  17 -> 26 [size =\"26641408\"]\n  17 -> 27 [size =\"26641408\"]\n  17 -> 31 [size =\"26641408\"]\n  17 -> 32 [size =\"26641408\"]\n  17 -> 33 [size =\"26641408\"]\n  18 [size=\"23173120\", alpha=\"0.19\", expect_size=\"9269248\"] \n  18 -> 26 [size =\"9269248\"]\n  18 -> 27 [size =\"9269248\"]\n  18 -> 29 [size =\"9269248\"]\n  18 -> 32 [size =\"9269248\"]\n  19 [size=\"88599040\", alpha=\"0.13\", expect_size=\"35439616\"] \n  19 -> 24 [size =\"35439616\"]\n  19 -> 25 [size =\"35439616\"]\n  19 -> 26 [size =\"35439616\"]\n  19 -> 27 [size =\"35439616\"]\n  19 -> 32 [size =\"35439616\"]\n  19 -> 33 [size =\"35439616\"]\n  20 [size=\"109690880\", alpha=\"0.12\", expect_size=\"43876352\"] \n  20 -> 24 [size =\"43876352\"]\n  20 -> 26 [size =\"43876352\"]\n  20 -> 27 [size =\"43876352\"]\n  20 -> 27 [size =\"43876352\"]\n  20 -> 28 [size =\"43876352\"]\n  20 -> 29 [size =\"43876352\"]\n  21 [size=\"100085760\", alpha=\"0.07\", expect_size=\"40034304\"] \n  21 -> 24 [size =\"40034304\"]\n  21 -> 25 [size =\"40034304\"]\n  21 -> 29 [size =\"40034304\"]\n  21 -> 33 [size =\"40034304\"]\n  21 -> 34 [size =\"40034304\"]\n  22 [size=\"123008000\", alpha=\"0.08\", expect_size=\"49203200\"] \n  22 -> 24 [size =\"49203200\"]\n  22 -> 25 [size =\"49203200\"]\n  22 -> 27 [size =\"49203200\"]\n  22 -> 29 [size =\"49203200\"]\n  22 -> 32 [size =\"49203200\"]\n  22 -> 33 [size =\"49203200\"]\n  22 -> 35 [size =\"49203200\"]\n  23 [size=\"39116800\", alpha=\"0.03\", expect_size=\"15646720\"] \n  23 -> 29 [size =\"15646720\"]\n  23 -> 32 [size =\"15646720\"]\n  23 -> 35 [size =\"15646720\"]\n  24 [size=\"65894400\", alpha=\"0.07\", expect_size=\"26357760\"] \n  25 [size=\"47733760\", alpha=\"0.06\", expect_size=\"19093504\"] \n  26 [size=\"29550080\", alpha=\"0.05\", expect_size=\"11820032\"] \n  27 [size=\"70287360\", alpha=\"0.13\", expect_size=\"28114944\"] \n  28 [size=\"80542720\", alpha=\"0.04\", expect_size=\"32217088\"] \n  29 [size=\"75845120\", alpha=\"0.18\", expect_size=\"30338048\"] \n  30 [size=\"32865280\", alpha=\"0.16\", expect_size=\"13146112\"] \n  31 [size=\"105702400\", alpha=\"0.14\", expect_size=\"42280960\"] \n  32 [size=\"31559680\", alpha=\"0.17\", expect_size=\"12623872\"] \n  33 [size=\"77880320\", alpha=\"0.07\", expect_size=\"31152128\"] \n  34 [size=\"95052800\", alpha=\"0.11\", expect_size=\"38021120\"] \n  35 [size=\"18432000\", alpha=\"0.05\", expect_size=\"7372800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99775147\", alpha=\"0.06\", expect_size=\"29932544\"] \n  1 -> 2 [size =\"29932544\"]\n  2 [size=\"50305707\", alpha=\"0.14\", expect_size=\"15091712\"] \n  2 -> 3 [size =\"15091712\"]\n  3 [size=\"43694080\", alpha=\"0.19\", expect_size=\"13108224\"] \n  3 -> 4 [size =\"13108224\"]\n  4 [size=\"78834347\", alpha=\"0.12\", expect_size=\"23650304\"] \n  4 -> 5 [size =\"23650304\"]\n  5 [size=\"136038400\", alpha=\"0.20\", expect_size=\"40811520\"] \n  5 -> 6 [size =\"40811520\"]\n  6 [size=\"29661867\", alpha=\"0.01\", expect_size=\"8898560\"] \n  6 -> 7 [size =\"8898560\"]\n  7 [size=\"131505493\", alpha=\"0.02\", expect_size=\"39451648\"] \n  7 -> 8 [size =\"39451648\"]\n  8 [size=\"26405547\", alpha=\"0.14\", expect_size=\"7921664\"] \n  8 -> 9 [size =\"7921664\"]\n  9 [size=\"161672533\", alpha=\"0.03\", expect_size=\"48501760\"] \n  9 -> 10 [size =\"48501760\"]\n  10 [size=\"143179093\", alpha=\"0.09\", expect_size=\"42953728\"] \n  10 -> 11 [size =\"42953728\"]\n  11 [size=\"32150187\", alpha=\"0.10\", expect_size=\"9645056\"] \n  11 -> 12 [size =\"9645056\"]\n  12 [size=\"76574720\", alpha=\"0.04\", expect_size=\"22972416\"] \n  12 -> 13 [size =\"22972416\"]\n  13 [size=\"26620587\", alpha=\"0.03\", expect_size=\"7986176\"] \n  13 -> 14 [size =\"7986176\"]\n  14 [size=\"173827413\", alpha=\"0.17\", expect_size=\"52148224\"] \n  14 -> 15 [size =\"52148224\"]\n  15 [size=\"113728853\", alpha=\"0.18\", expect_size=\"34118656\"] \n  15 -> 16 [size =\"34118656\"]\n  16 [size=\"110581760\", alpha=\"0.04\", expect_size=\"33174528\"] \n  16 -> 17 [size =\"33174528\"]\n  17 [size=\"118046720\", alpha=\"0.09\", expect_size=\"35414016\"] \n  17 -> 18 [size =\"35414016\"]\n  18 [size=\"136581120\", alpha=\"0.02\", expect_size=\"40974336\"] \n  18 -> 19 [size =\"40974336\"]\n  19 [size=\"89815040\", alpha=\"0.13\", expect_size=\"26944512\"] \n  19 -> 20 [size =\"26944512\"]\n  20 [size=\"111561387\", alpha=\"0.10\", expect_size=\"33468416\"] \n  20 -> 21 [size =\"33468416\"]\n  21 [size=\"23995733\", alpha=\"0.18\", expect_size=\"7198720\"] \n  21 -> 22 [size =\"7198720\"]\n  22 [size=\"104430933\", alpha=\"0.11\", expect_size=\"31329280\"] \n  22 -> 23 [size =\"31329280\"]\n  23 [size=\"136768853\", alpha=\"0.06\", expect_size=\"41030656\"] \n  23 -> 24 [size =\"41030656\"]\n  24 [size=\"158255787\", alpha=\"0.10\", expect_size=\"47476736\"] \n  24 -> 25 [size =\"47476736\"]\n  25 [size=\"138021547\", alpha=\"0.08\", expect_size=\"41406464\"] \n  25 -> 26 [size =\"41406464\"]\n  26 [size=\"119900160\", alpha=\"0.08\", expect_size=\"35970048\"] \n  26 -> 27 [size =\"35970048\"]\n  27 [size=\"154460160\", alpha=\"0.03\", expect_size=\"46338048\"] \n  27 -> 28 [size =\"46338048\"]\n  28 [size=\"65201493\", alpha=\"0.18\", expect_size=\"19560448\"] \n  28 -> 29 [size =\"19560448\"]\n  29 [size=\"84691627\", alpha=\"0.12\", expect_size=\"25407488\"] \n  29 -> 30 [size =\"25407488\"]\n  30 [size=\"26043733\", alpha=\"0.02\", expect_size=\"7813120\"] \n  30 -> 31 [size =\"7813120\"]\n  31 [size=\"106089813\", alpha=\"0.14\", expect_size=\"31826944\"] \n  31 -> 32 [size =\"31826944\"]\n  32 [size=\"92562773\", alpha=\"0.14\", expect_size=\"27768832\"] \n  32 -> 33 [size =\"27768832\"]\n  33 [size=\"18285227\", alpha=\"0.14\", expect_size=\"5485568\"] \n  33 -> 34 [size =\"5485568\"]\n  34 [size=\"66768213\", alpha=\"0.15\", expect_size=\"20030464\"] \n  34 -> 35 [size =\"20030464\"]\n  35 [size=\"142083413\", alpha=\"0.07\", expect_size=\"42625024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129753600\", alpha=\"0.16\", expect_size=\"51901440\"] \n  1 -> 11 [size =\"51901440\"]\n  1 -> 12 [size =\"51901440\"]\n  1 -> 15 [size =\"51901440\"]\n  1 -> 17 [size =\"51901440\"]\n  1 -> 19 [size =\"51901440\"]\n  1 -> 21 [size =\"51901440\"]\n  2 [size=\"55086080\", alpha=\"0.05\", expect_size=\"22034432\"] \n  2 -> 12 [size =\"22034432\"]\n  2 -> 12 [size =\"22034432\"]\n  2 -> 14 [size =\"22034432\"]\n  2 -> 15 [size =\"22034432\"]\n  2 -> 16 [size =\"22034432\"]\n  2 -> 17 [size =\"22034432\"]\n  2 -> 19 [size =\"22034432\"]\n  2 -> 21 [size =\"22034432\"]\n  3 [size=\"41218560\", alpha=\"0.02\", expect_size=\"16487424\"] \n  3 -> 12 [size =\"16487424\"]\n  3 -> 13 [size =\"16487424\"]\n  3 -> 14 [size =\"16487424\"]\n  3 -> 17 [size =\"16487424\"]\n  3 -> 19 [size =\"16487424\"]\n  3 -> 21 [size =\"16487424\"]\n  4 [size=\"96309760\", alpha=\"0.14\", expect_size=\"38523904\"] \n  4 -> 12 [size =\"38523904\"]\n  4 -> 13 [size =\"38523904\"]\n  4 -> 17 [size =\"38523904\"]\n  4 -> 19 [size =\"38523904\"]\n  4 -> 20 [size =\"38523904\"]\n  4 -> 21 [size =\"38523904\"]\n  5 [size=\"76472320\", alpha=\"0.18\", expect_size=\"30588928\"] \n  5 -> 11 [size =\"30588928\"]\n  5 -> 12 [size =\"30588928\"]\n  5 -> 13 [size =\"30588928\"]\n  5 -> 15 [size =\"30588928\"]\n  5 -> 19 [size =\"30588928\"]\n  5 -> 21 [size =\"30588928\"]\n  6 [size=\"68638720\", alpha=\"0.12\", expect_size=\"27455488\"] \n  6 -> 12 [size =\"27455488\"]\n  6 -> 13 [size =\"27455488\"]\n  6 -> 14 [size =\"27455488\"]\n  6 -> 19 [size =\"27455488\"]\n  6 -> 21 [size =\"27455488\"]\n  6 -> 21 [size =\"27455488\"]\n  7 [size=\"114414080\", alpha=\"0.03\", expect_size=\"45765632\"] \n  7 -> 15 [size =\"45765632\"]\n  7 -> 16 [size =\"45765632\"]\n  7 -> 19 [size =\"45765632\"]\n  7 -> 20 [size =\"45765632\"]\n  7 -> 21 [size =\"45765632\"]\n  8 [size=\"115870720\", alpha=\"0.00\", expect_size=\"46348288\"] \n  8 -> 18 [size =\"46348288\"]\n  9 [size=\"130754560\", alpha=\"0.11\", expect_size=\"52301824\"] \n  9 -> 12 [size =\"52301824\"]\n  9 -> 13 [size =\"52301824\"]\n  9 -> 15 [size =\"52301824\"]\n  9 -> 16 [size =\"52301824\"]\n  9 -> 17 [size =\"52301824\"]\n  10 [size=\"20851200\", alpha=\"0.02\", expect_size=\"8340480\"] \n  10 -> 12 [size =\"8340480\"]\n  10 -> 16 [size =\"8340480\"]\n  10 -> 17 [size =\"8340480\"]\n  10 -> 19 [size =\"8340480\"]\n  10 -> 21 [size =\"8340480\"]\n  11 [size=\"91901440\", alpha=\"0.06\", expect_size=\"36760576\"] \n  11 -> 22 [size =\"36760576\"]\n  11 -> 27 [size =\"36760576\"]\n  11 -> 31 [size =\"36760576\"]\n  11 -> 32 [size =\"36760576\"]\n  11 -> 33 [size =\"36760576\"]\n  12 [size=\"68247040\", alpha=\"0.04\", expect_size=\"27298816\"] \n  12 -> 22 [size =\"27298816\"]\n  12 -> 27 [size =\"27298816\"]\n  12 -> 28 [size =\"27298816\"]\n  12 -> 29 [size =\"27298816\"]\n  12 -> 31 [size =\"27298816\"]\n  12 -> 32 [size =\"27298816\"]\n  12 -> 33 [size =\"27298816\"]\n  13 [size=\"100221440\", alpha=\"0.01\", expect_size=\"40088576\"] \n  13 -> 24 [size =\"40088576\"]\n  13 -> 33 [size =\"40088576\"]\n  14 [size=\"110917120\", alpha=\"0.07\", expect_size=\"44366848\"] \n  14 -> 24 [size =\"44366848\"]\n  14 -> 26 [size =\"44366848\"]\n  14 -> 28 [size =\"44366848\"]\n  14 -> 30 [size =\"44366848\"]\n  14 -> 31 [size =\"44366848\"]\n  14 -> 32 [size =\"44366848\"]\n  14 -> 33 [size =\"44366848\"]\n  15 [size=\"74831360\", alpha=\"0.10\", expect_size=\"29932544\"] \n  15 -> 25 [size =\"29932544\"]\n  15 -> 28 [size =\"29932544\"]\n  15 -> 28 [size =\"29932544\"]\n  15 -> 33 [size =\"29932544\"]\n  16 [size=\"60423680\", alpha=\"0.15\", expect_size=\"24169472\"] \n  16 -> 22 [size =\"24169472\"]\n  16 -> 31 [size =\"24169472\"]\n  16 -> 33 [size =\"24169472\"]\n  16 -> 33 [size =\"24169472\"]\n  17 [size=\"15431680\", alpha=\"0.16\", expect_size=\"6172672\"] \n  17 -> 22 [size =\"6172672\"]\n  17 -> 24 [size =\"6172672\"]\n  17 -> 25 [size =\"6172672\"]\n  17 -> 26 [size =\"6172672\"]\n  17 -> 27 [size =\"6172672\"]\n  17 -> 28 [size =\"6172672\"]\n  17 -> 32 [size =\"6172672\"]\n  18 [size=\"30558720\", alpha=\"0.18\", expect_size=\"12223488\"] \n  18 -> 25 [size =\"12223488\"]\n  18 -> 26 [size =\"12223488\"]\n  18 -> 32 [size =\"12223488\"]\n  19 [size=\"32852480\", alpha=\"0.10\", expect_size=\"13140992\"] \n  19 -> 22 [size =\"13140992\"]\n  19 -> 24 [size =\"13140992\"]\n  19 -> 32 [size =\"13140992\"]\n  19 -> 33 [size =\"13140992\"]\n  20 [size=\"99880960\", alpha=\"0.06\", expect_size=\"39952384\"] \n  20 -> 25 [size =\"39952384\"]\n  20 -> 28 [size =\"39952384\"]\n  20 -> 31 [size =\"39952384\"]\n  20 -> 32 [size =\"39952384\"]\n  21 [size=\"111477760\", alpha=\"0.01\", expect_size=\"44591104\"] \n  21 -> 23 [size =\"44591104\"]\n  21 -> 29 [size =\"44591104\"]\n  21 -> 31 [size =\"44591104\"]\n  21 -> 32 [size =\"44591104\"]\n  22 [size=\"26554880\", alpha=\"0.03\", expect_size=\"10621952\"] \n  22 -> 34 [size =\"10621952\"]\n  22 -> 35 [size =\"10621952\"]\n  23 [size=\"49623040\", alpha=\"0.10\", expect_size=\"19849216\"] \n  23 -> 34 [size =\"19849216\"]\n  24 [size=\"56593920\", alpha=\"0.11\", expect_size=\"22637568\"] \n  24 -> 34 [size =\"22637568\"]\n  24 -> 35 [size =\"22637568\"]\n  25 [size=\"99896320\", alpha=\"0.03\", expect_size=\"39958528\"] \n  25 -> 34 [size =\"39958528\"]\n  26 [size=\"41600000\", alpha=\"0.04\", expect_size=\"16640000\"] \n  26 -> 34 [size =\"16640000\"]\n  26 -> 35 [size =\"16640000\"]\n  27 [size=\"13849600\", alpha=\"0.02\", expect_size=\"5539840\"] \n  27 -> 34 [size =\"5539840\"]\n  27 -> 35 [size =\"5539840\"]\n  28 [size=\"107136000\", alpha=\"0.18\", expect_size=\"42854400\"] \n  28 -> 34 [size =\"42854400\"]\n  28 -> 35 [size =\"42854400\"]\n  29 [size=\"98152960\", alpha=\"0.14\", expect_size=\"39261184\"] \n  30 [size=\"40542720\", alpha=\"0.11\", expect_size=\"16217088\"] \n  30 -> 34 [size =\"16217088\"]\n  30 -> 35 [size =\"16217088\"]\n  31 [size=\"73128960\", alpha=\"0.01\", expect_size=\"29251584\"] \n  31 -> 34 [size =\"29251584\"]\n  31 -> 35 [size =\"29251584\"]\n  32 [size=\"76636160\", alpha=\"0.01\", expect_size=\"30654464\"] \n  32 -> 34 [size =\"30654464\"]\n  33 [size=\"93040640\", alpha=\"0.16\", expect_size=\"37216256\"] \n  33 -> 34 [size =\"37216256\"]\n  33 -> 35 [size =\"37216256\"]\n  34 [size=\"32491520\", alpha=\"0.07\", expect_size=\"12996608\"] \n  35 [size=\"96161280\", alpha=\"0.08\", expect_size=\"38464512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25357653\", alpha=\"0.04\", expect_size=\"7607296\"] \n  1 -> 17 [size =\"7607296\"]\n  1 -> 18 [size =\"7607296\"]\n  1 -> 20 [size =\"7607296\"]\n  1 -> 25 [size =\"7607296\"]\n  1 -> 29 [size =\"7607296\"]\n  2 [size=\"50240853\", alpha=\"0.05\", expect_size=\"15072256\"] \n  2 -> 16 [size =\"15072256\"]\n  2 -> 17 [size =\"15072256\"]\n  2 -> 20 [size =\"15072256\"]\n  2 -> 21 [size =\"15072256\"]\n  2 -> 22 [size =\"15072256\"]\n  2 -> 24 [size =\"15072256\"]\n  2 -> 25 [size =\"15072256\"]\n  2 -> 28 [size =\"15072256\"]\n  2 -> 29 [size =\"15072256\"]\n  2 -> 30 [size =\"15072256\"]\n  3 [size=\"28013227\", alpha=\"0.01\", expect_size=\"8403968\"] \n  3 -> 15 [size =\"8403968\"]\n  3 -> 16 [size =\"8403968\"]\n  3 -> 17 [size =\"8403968\"]\n  3 -> 18 [size =\"8403968\"]\n  3 -> 20 [size =\"8403968\"]\n  3 -> 21 [size =\"8403968\"]\n  3 -> 22 [size =\"8403968\"]\n  3 -> 25 [size =\"8403968\"]\n  3 -> 27 [size =\"8403968\"]\n  3 -> 28 [size =\"8403968\"]\n  4 [size=\"104533333\", alpha=\"0.16\", expect_size=\"31360000\"] \n  4 -> 15 [size =\"31360000\"]\n  4 -> 18 [size =\"31360000\"]\n  4 -> 20 [size =\"31360000\"]\n  4 -> 21 [size =\"31360000\"]\n  4 -> 23 [size =\"31360000\"]\n  4 -> 25 [size =\"31360000\"]\n  4 -> 26 [size =\"31360000\"]\n  4 -> 27 [size =\"31360000\"]\n  4 -> 27 [size =\"31360000\"]\n  4 -> 28 [size =\"31360000\"]\n  4 -> 29 [size =\"31360000\"]\n  5 [size=\"32938667\", alpha=\"0.06\", expect_size=\"9881600\"] \n  5 -> 15 [size =\"9881600\"]\n  5 -> 17 [size =\"9881600\"]\n  5 -> 18 [size =\"9881600\"]\n  5 -> 20 [size =\"9881600\"]\n  5 -> 21 [size =\"9881600\"]\n  5 -> 23 [size =\"9881600\"]\n  5 -> 24 [size =\"9881600\"]\n  5 -> 25 [size =\"9881600\"]\n  5 -> 28 [size =\"9881600\"]\n  5 -> 28 [size =\"9881600\"]\n  5 -> 29 [size =\"9881600\"]\n  5 -> 30 [size =\"9881600\"]\n  6 [size=\"134693547\", alpha=\"0.19\", expect_size=\"40408064\"] \n  6 -> 15 [size =\"40408064\"]\n  6 -> 17 [size =\"40408064\"]\n  6 -> 20 [size =\"40408064\"]\n  6 -> 21 [size =\"40408064\"]\n  6 -> 27 [size =\"40408064\"]\n  6 -> 29 [size =\"40408064\"]\n  7 [size=\"44574720\", alpha=\"0.12\", expect_size=\"13372416\"] \n  7 -> 15 [size =\"13372416\"]\n  7 -> 17 [size =\"13372416\"]\n  7 -> 22 [size =\"13372416\"]\n  7 -> 23 [size =\"13372416\"]\n  7 -> 24 [size =\"13372416\"]\n  7 -> 26 [size =\"13372416\"]\n  7 -> 27 [size =\"13372416\"]\n  7 -> 28 [size =\"13372416\"]\n  7 -> 29 [size =\"13372416\"]\n  7 -> 30 [size =\"13372416\"]\n  8 [size=\"21486933\", alpha=\"0.18\", expect_size=\"6446080\"] \n  8 -> 21 [size =\"6446080\"]\n  8 -> 27 [size =\"6446080\"]\n  8 -> 30 [size =\"6446080\"]\n  9 [size=\"91579733\", alpha=\"0.19\", expect_size=\"27473920\"] \n  9 -> 16 [size =\"27473920\"]\n  9 -> 18 [size =\"27473920\"]\n  9 -> 19 [size =\"27473920\"]\n  9 -> 21 [size =\"27473920\"]\n  9 -> 27 [size =\"27473920\"]\n  9 -> 30 [size =\"27473920\"]\n  10 [size=\"43004587\", alpha=\"0.16\", expect_size=\"12901376\"] \n  10 -> 16 [size =\"12901376\"]\n  10 -> 20 [size =\"12901376\"]\n  10 -> 21 [size =\"12901376\"]\n  10 -> 29 [size =\"12901376\"]\n  10 -> 30 [size =\"12901376\"]\n  11 [size=\"117521067\", alpha=\"0.07\", expect_size=\"35256320\"] \n  11 -> 17 [size =\"35256320\"]\n  11 -> 18 [size =\"35256320\"]\n  11 -> 21 [size =\"35256320\"]\n  11 -> 22 [size =\"35256320\"]\n  11 -> 24 [size =\"35256320\"]\n  11 -> 28 [size =\"35256320\"]\n  12 [size=\"149558613\", alpha=\"0.02\", expect_size=\"44867584\"] \n  12 -> 23 [size =\"44867584\"]\n  12 -> 24 [size =\"44867584\"]\n  12 -> 30 [size =\"44867584\"]\n  13 [size=\"29344427\", alpha=\"0.12\", expect_size=\"8803328\"] \n  13 -> 22 [size =\"8803328\"]\n  13 -> 23 [size =\"8803328\"]\n  13 -> 24 [size =\"8803328\"]\n  13 -> 25 [size =\"8803328\"]\n  14 [size=\"38611627\", alpha=\"0.08\", expect_size=\"11583488\"] \n  14 -> 17 [size =\"11583488\"]\n  14 -> 20 [size =\"11583488\"]\n  14 -> 23 [size =\"11583488\"]\n  15 [size=\"162061653\", alpha=\"0.03\", expect_size=\"48618496\"] \n  16 [size=\"52691627\", alpha=\"0.15\", expect_size=\"15807488\"] \n  16 -> 31 [size =\"15807488\"]\n  16 -> 33 [size =\"15807488\"]\n  17 [size=\"46871893\", alpha=\"0.06\", expect_size=\"14061568\"] \n  17 -> 31 [size =\"14061568\"]\n  17 -> 33 [size =\"14061568\"]\n  17 -> 35 [size =\"14061568\"]\n  18 [size=\"143759360\", alpha=\"0.02\", expect_size=\"43127808\"] \n  18 -> 31 [size =\"43127808\"]\n  18 -> 33 [size =\"43127808\"]\n  18 -> 35 [size =\"43127808\"]\n  19 [size=\"126941867\", alpha=\"0.13\", expect_size=\"38082560\"] \n  19 -> 31 [size =\"38082560\"]\n  19 -> 33 [size =\"38082560\"]\n  19 -> 35 [size =\"38082560\"]\n  20 [size=\"116411733\", alpha=\"0.18\", expect_size=\"34923520\"] \n  20 -> 33 [size =\"34923520\"]\n  20 -> 33 [size =\"34923520\"]\n  21 [size=\"88787627\", alpha=\"0.05\", expect_size=\"26636288\"] \n  21 -> 31 [size =\"26636288\"]\n  22 [size=\"141492907\", alpha=\"0.15\", expect_size=\"42447872\"] \n  22 -> 31 [size =\"42447872\"]\n  22 -> 33 [size =\"42447872\"]\n  23 [size=\"158504960\", alpha=\"0.07\", expect_size=\"47551488\"] \n  23 -> 31 [size =\"47551488\"]\n  24 [size=\"92770987\", alpha=\"0.10\", expect_size=\"27831296\"] \n  24 -> 31 [size =\"27831296\"]\n  24 -> 34 [size =\"27831296\"]\n  25 [size=\"156535467\", alpha=\"0.15\", expect_size=\"46960640\"] \n  25 -> 33 [size =\"46960640\"]\n  26 [size=\"19380907\", alpha=\"0.15\", expect_size=\"5814272\"] \n  26 -> 33 [size =\"5814272\"]\n  27 [size=\"140520107\", alpha=\"0.19\", expect_size=\"42156032\"] \n  27 -> 31 [size =\"42156032\"]\n  27 -> 34 [size =\"42156032\"]\n  28 [size=\"33116160\", alpha=\"0.03\", expect_size=\"9934848\"] \n  28 -> 32 [size =\"9934848\"]\n  28 -> 33 [size =\"9934848\"]\n  29 [size=\"48885760\", alpha=\"0.16\", expect_size=\"14665728\"] \n  29 -> 35 [size =\"14665728\"]\n  30 [size=\"149039787\", alpha=\"0.12\", expect_size=\"44711936\"] \n  30 -> 31 [size =\"44711936\"]\n  31 [size=\"135010987\", alpha=\"0.02\", expect_size=\"40503296\"] \n  32 [size=\"171973973\", alpha=\"0.08\", expect_size=\"51592192\"] \n  33 [size=\"135406933\", alpha=\"0.15\", expect_size=\"40622080\"] \n  34 [size=\"35850240\", alpha=\"0.06\", expect_size=\"10755072\"] \n  35 [size=\"117643947\", alpha=\"0.14\", expect_size=\"35293184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17944576\", alpha=\"0.08\", expect_size=\"8972288\"] \n  1 -> 30 [size =\"8972288\"]\n  1 -> 31 [size =\"8972288\"]\n  2 [size=\"24195072\", alpha=\"0.17\", expect_size=\"12097536\"] \n  2 -> 30 [size =\"12097536\"]\n  2 -> 34 [size =\"12097536\"]\n  3 [size=\"43194368\", alpha=\"0.10\", expect_size=\"21597184\"] \n  3 -> 30 [size =\"21597184\"]\n  4 [size=\"46598144\", alpha=\"0.19\", expect_size=\"23299072\"] \n  4 -> 29 [size =\"23299072\"]\n  4 -> 31 [size =\"23299072\"]\n  4 -> 34 [size =\"23299072\"]\n  5 [size=\"35780608\", alpha=\"0.02\", expect_size=\"17890304\"] \n  5 -> 30 [size =\"17890304\"]\n  5 -> 32 [size =\"17890304\"]\n  6 [size=\"41928704\", alpha=\"0.19\", expect_size=\"20964352\"] \n  6 -> 30 [size =\"20964352\"]\n  7 [size=\"67850240\", alpha=\"0.19\", expect_size=\"33925120\"] \n  7 -> 27 [size =\"33925120\"]\n  7 -> 28 [size =\"33925120\"]\n  7 -> 31 [size =\"33925120\"]\n  7 -> 33 [size =\"33925120\"]\n  8 [size=\"44324864\", alpha=\"0.05\", expect_size=\"22162432\"] \n  8 -> 27 [size =\"22162432\"]\n  8 -> 30 [size =\"22162432\"]\n  8 -> 34 [size =\"22162432\"]\n  9 [size=\"40044544\", alpha=\"0.05\", expect_size=\"20022272\"] \n  9 -> 27 [size =\"20022272\"]\n  9 -> 28 [size =\"20022272\"]\n  10 [size=\"16312320\", alpha=\"0.04\", expect_size=\"8156160\"] \n  10 -> 27 [size =\"8156160\"]\n  10 -> 28 [size =\"8156160\"]\n  10 -> 29 [size =\"8156160\"]\n  11 [size=\"36888576\", alpha=\"0.17\", expect_size=\"18444288\"] \n  11 -> 27 [size =\"18444288\"]\n  11 -> 28 [size =\"18444288\"]\n  11 -> 33 [size =\"18444288\"]\n  11 -> 34 [size =\"18444288\"]\n  11 -> 35 [size =\"18444288\"]\n  12 [size=\"72708096\", alpha=\"0.06\", expect_size=\"36354048\"] \n  12 -> 27 [size =\"36354048\"]\n  12 -> 28 [size =\"36354048\"]\n  12 -> 30 [size =\"36354048\"]\n  13 [size=\"59887616\", alpha=\"0.11\", expect_size=\"29943808\"] \n  13 -> 27 [size =\"29943808\"]\n  13 -> 30 [size =\"29943808\"]\n  13 -> 30 [size =\"29943808\"]\n  13 -> 34 [size =\"29943808\"]\n  13 -> 35 [size =\"29943808\"]\n  14 [size=\"12154880\", alpha=\"0.18\", expect_size=\"6077440\"] \n  14 -> 35 [size =\"6077440\"]\n  15 [size=\"99794944\", alpha=\"0.08\", expect_size=\"49897472\"] \n  15 -> 27 [size =\"49897472\"]\n  15 -> 30 [size =\"49897472\"]\n  15 -> 31 [size =\"49897472\"]\n  15 -> 34 [size =\"49897472\"]\n  16 [size=\"13733888\", alpha=\"0.01\", expect_size=\"6866944\"] \n  16 -> 27 [size =\"6866944\"]\n  16 -> 28 [size =\"6866944\"]\n  16 -> 29 [size =\"6866944\"]\n  16 -> 31 [size =\"6866944\"]\n  16 -> 34 [size =\"6866944\"]\n  17 [size=\"10786816\", alpha=\"0.17\", expect_size=\"5393408\"] \n  17 -> 27 [size =\"5393408\"]\n  17 -> 29 [size =\"5393408\"]\n  17 -> 31 [size =\"5393408\"]\n  17 -> 33 [size =\"5393408\"]\n  17 -> 34 [size =\"5393408\"]\n  18 [size=\"101027840\", alpha=\"0.06\", expect_size=\"50513920\"] \n  18 -> 27 [size =\"50513920\"]\n  19 [size=\"29890560\", alpha=\"0.14\", expect_size=\"14945280\"] \n  19 -> 28 [size =\"14945280\"]\n  19 -> 30 [size =\"14945280\"]\n  19 -> 35 [size =\"14945280\"]\n  20 [size=\"51310592\", alpha=\"0.12\", expect_size=\"25655296\"] \n  20 -> 31 [size =\"25655296\"]\n  20 -> 32 [size =\"25655296\"]\n  20 -> 33 [size =\"25655296\"]\n  20 -> 34 [size =\"25655296\"]\n  20 -> 35 [size =\"25655296\"]\n  21 [size=\"68519936\", alpha=\"0.11\", expect_size=\"34259968\"] \n  21 -> 28 [size =\"34259968\"]\n  21 -> 29 [size =\"34259968\"]\n  21 -> 31 [size =\"34259968\"]\n  21 -> 32 [size =\"34259968\"]\n  21 -> 35 [size =\"34259968\"]\n  22 [size=\"56619008\", alpha=\"0.14\", expect_size=\"28309504\"] \n  22 -> 27 [size =\"28309504\"]\n  22 -> 28 [size =\"28309504\"]\n  22 -> 29 [size =\"28309504\"]\n  22 -> 32 [size =\"28309504\"]\n  22 -> 34 [size =\"28309504\"]\n  23 [size=\"85454848\", alpha=\"0.03\", expect_size=\"42727424\"] \n  23 -> 28 [size =\"42727424\"]\n  23 -> 31 [size =\"42727424\"]\n  23 -> 32 [size =\"42727424\"]\n  24 [size=\"42362880\", alpha=\"0.00\", expect_size=\"21181440\"] \n  24 -> 27 [size =\"21181440\"]\n  24 -> 30 [size =\"21181440\"]\n  24 -> 31 [size =\"21181440\"]\n  24 -> 32 [size =\"21181440\"]\n  24 -> 34 [size =\"21181440\"]\n  25 [size=\"33030144\", alpha=\"0.02\", expect_size=\"16515072\"] \n  25 -> 30 [size =\"16515072\"]\n  26 [size=\"72710144\", alpha=\"0.11\", expect_size=\"36355072\"] \n  26 -> 31 [size =\"36355072\"]\n  26 -> 34 [size =\"36355072\"]\n  27 [size=\"77815808\", alpha=\"0.13\", expect_size=\"38907904\"] \n  28 [size=\"62435328\", alpha=\"0.01\", expect_size=\"31217664\"] \n  29 [size=\"93016064\", alpha=\"0.16\", expect_size=\"46508032\"] \n  30 [size=\"63631360\", alpha=\"0.11\", expect_size=\"31815680\"] \n  31 [size=\"24512512\", alpha=\"0.13\", expect_size=\"12256256\"] \n  32 [size=\"77494272\", alpha=\"0.08\", expect_size=\"38747136\"] \n  33 [size=\"47542272\", alpha=\"0.13\", expect_size=\"23771136\"] \n  34 [size=\"61739008\", alpha=\"0.18\", expect_size=\"30869504\"] \n  35 [size=\"61822976\", alpha=\"0.03\", expect_size=\"30911488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33755136\", alpha=\"0.03\", expect_size=\"16877568\"] \n  1 -> 14 [size =\"16877568\"]\n  1 -> 16 [size =\"16877568\"]\n  2 [size=\"100419584\", alpha=\"0.18\", expect_size=\"50209792\"] \n  2 -> 17 [size =\"50209792\"]\n  2 -> 20 [size =\"50209792\"]\n  3 [size=\"58783744\", alpha=\"0.03\", expect_size=\"29391872\"] \n  3 -> 17 [size =\"29391872\"]\n  3 -> 21 [size =\"29391872\"]\n  4 [size=\"60565504\", alpha=\"0.09\", expect_size=\"30282752\"] \n  4 -> 17 [size =\"30282752\"]\n  4 -> 18 [size =\"30282752\"]\n  5 [size=\"52914176\", alpha=\"0.00\", expect_size=\"26457088\"] \n  5 -> 15 [size =\"26457088\"]\n  5 -> 16 [size =\"26457088\"]\n  5 -> 17 [size =\"26457088\"]\n  5 -> 18 [size =\"26457088\"]\n  5 -> 21 [size =\"26457088\"]\n  6 [size=\"37912576\", alpha=\"0.08\", expect_size=\"18956288\"] \n  6 -> 14 [size =\"18956288\"]\n  6 -> 21 [size =\"18956288\"]\n  7 [size=\"91639808\", alpha=\"0.19\", expect_size=\"45819904\"] \n  7 -> 14 [size =\"45819904\"]\n  7 -> 17 [size =\"45819904\"]\n  7 -> 19 [size =\"45819904\"]\n  7 -> 21 [size =\"45819904\"]\n  8 [size=\"76808192\", alpha=\"0.15\", expect_size=\"38404096\"] \n  8 -> 17 [size =\"38404096\"]\n  8 -> 19 [size =\"38404096\"]\n  8 -> 21 [size =\"38404096\"]\n  9 [size=\"49170432\", alpha=\"0.13\", expect_size=\"24585216\"] \n  9 -> 14 [size =\"24585216\"]\n  9 -> 15 [size =\"24585216\"]\n  9 -> 16 [size =\"24585216\"]\n  9 -> 21 [size =\"24585216\"]\n  10 [size=\"18221056\", alpha=\"0.06\", expect_size=\"9110528\"] \n  10 -> 14 [size =\"9110528\"]\n  10 -> 15 [size =\"9110528\"]\n  10 -> 21 [size =\"9110528\"]\n  10 -> 21 [size =\"9110528\"]\n  11 [size=\"49522688\", alpha=\"0.08\", expect_size=\"24761344\"] \n  11 -> 14 [size =\"24761344\"]\n  11 -> 15 [size =\"24761344\"]\n  11 -> 17 [size =\"24761344\"]\n  11 -> 18 [size =\"24761344\"]\n  12 [size=\"64028672\", alpha=\"0.07\", expect_size=\"32014336\"] \n  12 -> 15 [size =\"32014336\"]\n  12 -> 20 [size =\"32014336\"]\n  13 [size=\"55271424\", alpha=\"0.11\", expect_size=\"27635712\"] \n  13 -> 14 [size =\"27635712\"]\n  13 -> 17 [size =\"27635712\"]\n  14 [size=\"70414336\", alpha=\"0.06\", expect_size=\"35207168\"] \n  14 -> 22 [size =\"35207168\"]\n  14 -> 23 [size =\"35207168\"]\n  14 -> 26 [size =\"35207168\"]\n  14 -> 26 [size =\"35207168\"]\n  14 -> 27 [size =\"35207168\"]\n  14 -> 28 [size =\"35207168\"]\n  14 -> 30 [size =\"35207168\"]\n  14 -> 34 [size =\"35207168\"]\n  15 [size=\"17453056\", alpha=\"0.03\", expect_size=\"8726528\"] \n  15 -> 23 [size =\"8726528\"]\n  15 -> 27 [size =\"8726528\"]\n  15 -> 28 [size =\"8726528\"]\n  15 -> 29 [size =\"8726528\"]\n  15 -> 30 [size =\"8726528\"]\n  15 -> 32 [size =\"8726528\"]\n  16 [size=\"19382272\", alpha=\"0.09\", expect_size=\"9691136\"] \n  16 -> 23 [size =\"9691136\"]\n  16 -> 24 [size =\"9691136\"]\n  16 -> 25 [size =\"9691136\"]\n  16 -> 26 [size =\"9691136\"]\n  16 -> 27 [size =\"9691136\"]\n  16 -> 28 [size =\"9691136\"]\n  16 -> 32 [size =\"9691136\"]\n  17 [size=\"56363008\", alpha=\"0.10\", expect_size=\"28181504\"] \n  17 -> 22 [size =\"28181504\"]\n  17 -> 23 [size =\"28181504\"]\n  17 -> 24 [size =\"28181504\"]\n  17 -> 26 [size =\"28181504\"]\n  17 -> 29 [size =\"28181504\"]\n  17 -> 33 [size =\"28181504\"]\n  17 -> 34 [size =\"28181504\"]\n  18 [size=\"51343360\", alpha=\"0.15\", expect_size=\"25671680\"] \n  18 -> 23 [size =\"25671680\"]\n  18 -> 27 [size =\"25671680\"]\n  18 -> 28 [size =\"25671680\"]\n  18 -> 29 [size =\"25671680\"]\n  18 -> 30 [size =\"25671680\"]\n  18 -> 31 [size =\"25671680\"]\n  18 -> 33 [size =\"25671680\"]\n  19 [size=\"28340224\", alpha=\"0.09\", expect_size=\"14170112\"] \n  19 -> 22 [size =\"14170112\"]\n  19 -> 27 [size =\"14170112\"]\n  19 -> 29 [size =\"14170112\"]\n  19 -> 33 [size =\"14170112\"]\n  19 -> 34 [size =\"14170112\"]\n  20 [size=\"87752704\", alpha=\"0.03\", expect_size=\"43876352\"] \n  20 -> 22 [size =\"43876352\"]\n  20 -> 25 [size =\"43876352\"]\n  20 -> 27 [size =\"43876352\"]\n  20 -> 28 [size =\"43876352\"]\n  20 -> 29 [size =\"43876352\"]\n  20 -> 33 [size =\"43876352\"]\n  20 -> 34 [size =\"43876352\"]\n  21 [size=\"22988800\", alpha=\"0.03\", expect_size=\"11494400\"] \n  21 -> 22 [size =\"11494400\"]\n  21 -> 23 [size =\"11494400\"]\n  21 -> 24 [size =\"11494400\"]\n  21 -> 26 [size =\"11494400\"]\n  21 -> 28 [size =\"11494400\"]\n  21 -> 33 [size =\"11494400\"]\n  22 [size=\"60776448\", alpha=\"0.01\", expect_size=\"30388224\"] \n  23 [size=\"94521344\", alpha=\"0.10\", expect_size=\"47260672\"] \n  24 [size=\"53321728\", alpha=\"0.10\", expect_size=\"26660864\"] \n  25 [size=\"82939904\", alpha=\"0.18\", expect_size=\"41469952\"] \n  26 [size=\"99397632\", alpha=\"0.12\", expect_size=\"49698816\"] \n  27 [size=\"45172736\", alpha=\"0.04\", expect_size=\"22586368\"] \n  28 [size=\"94633984\", alpha=\"0.09\", expect_size=\"47316992\"] \n  29 [size=\"71436288\", alpha=\"0.03\", expect_size=\"35718144\"] \n  30 [size=\"18606080\", alpha=\"0.18\", expect_size=\"9303040\"] \n  31 [size=\"34598912\", alpha=\"0.02\", expect_size=\"17299456\"] \n  32 [size=\"48316416\", alpha=\"0.17\", expect_size=\"24158208\"] \n  33 [size=\"55320576\", alpha=\"0.01\", expect_size=\"27660288\"] \n  34 [size=\"103911424\", alpha=\"0.18\", expect_size=\"51955712\"] \n  34 -> 35 [size =\"51955712\"]\n  35 [size=\"55427072\", alpha=\"0.17\", expect_size=\"27713536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84531200\", alpha=\"0.06\", expect_size=\"42265600\"] \n  1 -> 2 [size =\"42265600\"]\n  2 [size=\"41244672\", alpha=\"0.08\", expect_size=\"20622336\"] \n  2 -> 3 [size =\"20622336\"]\n  3 [size=\"43960320\", alpha=\"0.07\", expect_size=\"21980160\"] \n  3 -> 4 [size =\"21980160\"]\n  4 [size=\"103600128\", alpha=\"0.14\", expect_size=\"51800064\"] \n  4 -> 5 [size =\"51800064\"]\n  5 [size=\"38500352\", alpha=\"0.02\", expect_size=\"19250176\"] \n  5 -> 6 [size =\"19250176\"]\n  6 [size=\"48994304\", alpha=\"0.12\", expect_size=\"24497152\"] \n  6 -> 7 [size =\"24497152\"]\n  7 [size=\"73703424\", alpha=\"0.10\", expect_size=\"36851712\"] \n  7 -> 8 [size =\"36851712\"]\n  8 [size=\"41320448\", alpha=\"0.03\", expect_size=\"20660224\"] \n  8 -> 9 [size =\"20660224\"]\n  9 [size=\"96940032\", alpha=\"0.20\", expect_size=\"48470016\"] \n  9 -> 10 [size =\"48470016\"]\n  10 [size=\"94742528\", alpha=\"0.02\", expect_size=\"47371264\"] \n  10 -> 11 [size =\"47371264\"]\n  11 [size=\"89716736\", alpha=\"0.15\", expect_size=\"44858368\"] \n  11 -> 12 [size =\"44858368\"]\n  12 [size=\"25552896\", alpha=\"0.20\", expect_size=\"12776448\"] \n  12 -> 13 [size =\"12776448\"]\n  13 [size=\"62697472\", alpha=\"0.05\", expect_size=\"31348736\"] \n  13 -> 14 [size =\"31348736\"]\n  14 [size=\"95995904\", alpha=\"0.14\", expect_size=\"47997952\"] \n  14 -> 15 [size =\"47997952\"]\n  15 [size=\"68255744\", alpha=\"0.02\", expect_size=\"34127872\"] \n  15 -> 16 [size =\"34127872\"]\n  16 [size=\"78352384\", alpha=\"0.07\", expect_size=\"39176192\"] \n  16 -> 17 [size =\"39176192\"]\n  17 [size=\"40601600\", alpha=\"0.08\", expect_size=\"20300800\"] \n  17 -> 18 [size =\"20300800\"]\n  18 [size=\"87494656\", alpha=\"0.03\", expect_size=\"43747328\"] \n  18 -> 19 [size =\"43747328\"]\n  19 [size=\"100052992\", alpha=\"0.03\", expect_size=\"50026496\"] \n  19 -> 20 [size =\"50026496\"]\n  20 [size=\"98269184\", alpha=\"0.07\", expect_size=\"49134592\"] \n  20 -> 21 [size =\"49134592\"]\n  21 [size=\"14811136\", alpha=\"0.07\", expect_size=\"7405568\"] \n  21 -> 22 [size =\"7405568\"]\n  22 [size=\"87949312\", alpha=\"0.13\", expect_size=\"43974656\"] \n  22 -> 23 [size =\"43974656\"]\n  23 [size=\"87803904\", alpha=\"0.06\", expect_size=\"43901952\"] \n  23 -> 24 [size =\"43901952\"]\n  24 [size=\"16730112\", alpha=\"0.19\", expect_size=\"8365056\"] \n  24 -> 25 [size =\"8365056\"]\n  25 [size=\"85012480\", alpha=\"0.18\", expect_size=\"42506240\"] \n  25 -> 26 [size =\"42506240\"]\n  26 [size=\"92852224\", alpha=\"0.05\", expect_size=\"46426112\"] \n  26 -> 27 [size =\"46426112\"]\n  27 [size=\"29747200\", alpha=\"0.06\", expect_size=\"14873600\"] \n  27 -> 28 [size =\"14873600\"]\n  28 [size=\"68675584\", alpha=\"0.13\", expect_size=\"34337792\"] \n  28 -> 29 [size =\"34337792\"]\n  29 [size=\"81340416\", alpha=\"0.18\", expect_size=\"40670208\"] \n  29 -> 30 [size =\"40670208\"]\n  30 [size=\"96372736\", alpha=\"0.01\", expect_size=\"48186368\"] \n  30 -> 31 [size =\"48186368\"]\n  31 [size=\"35581952\", alpha=\"0.01\", expect_size=\"17790976\"] \n  31 -> 32 [size =\"17790976\"]\n  32 [size=\"67387392\", alpha=\"0.04\", expect_size=\"33693696\"] \n  32 -> 33 [size =\"33693696\"]\n  33 [size=\"33806336\", alpha=\"0.18\", expect_size=\"16903168\"] \n  33 -> 34 [size =\"16903168\"]\n  34 [size=\"62683136\", alpha=\"0.11\", expect_size=\"31341568\"] \n  34 -> 35 [size =\"31341568\"]\n  35 [size=\"58390528\", alpha=\"0.15\", expect_size=\"29195264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36800000\", alpha=\"0.08\", expect_size=\"14720000\"] \n  1 -> 24 [size =\"14720000\"]\n  1 -> 25 [size =\"14720000\"]\n  1 -> 27 [size =\"14720000\"]\n  1 -> 28 [size =\"14720000\"]\n  1 -> 29 [size =\"14720000\"]\n  1 -> 32 [size =\"14720000\"]\n  1 -> 32 [size =\"14720000\"]\n  1 -> 34 [size =\"14720000\"]\n  1 -> 34 [size =\"14720000\"]\n  1 -> 35 [size =\"14720000\"]\n  2 [size=\"95063040\", alpha=\"0.19\", expect_size=\"38025216\"] \n  2 -> 25 [size =\"38025216\"]\n  2 -> 25 [size =\"38025216\"]\n  2 -> 28 [size =\"38025216\"]\n  2 -> 28 [size =\"38025216\"]\n  2 -> 29 [size =\"38025216\"]\n  2 -> 30 [size =\"38025216\"]\n  3 [size=\"129809920\", alpha=\"0.11\", expect_size=\"51923968\"] \n  3 -> 25 [size =\"51923968\"]\n  3 -> 27 [size =\"51923968\"]\n  3 -> 35 [size =\"51923968\"]\n  4 [size=\"15564800\", alpha=\"0.16\", expect_size=\"6225920\"] \n  4 -> 25 [size =\"6225920\"]\n  4 -> 27 [size =\"6225920\"]\n  4 -> 28 [size =\"6225920\"]\n  4 -> 32 [size =\"6225920\"]\n  4 -> 35 [size =\"6225920\"]\n  5 [size=\"97441280\", alpha=\"0.17\", expect_size=\"38976512\"] \n  5 -> 25 [size =\"38976512\"]\n  5 -> 30 [size =\"38976512\"]\n  5 -> 32 [size =\"38976512\"]\n  6 [size=\"94446080\", alpha=\"0.02\", expect_size=\"37778432\"] \n  6 -> 25 [size =\"37778432\"]\n  6 -> 28 [size =\"37778432\"]\n  6 -> 29 [size =\"37778432\"]\n  6 -> 35 [size =\"37778432\"]\n  7 [size=\"27473920\", alpha=\"0.08\", expect_size=\"10989568\"] \n  7 -> 25 [size =\"10989568\"]\n  7 -> 28 [size =\"10989568\"]\n  7 -> 29 [size =\"10989568\"]\n  7 -> 30 [size =\"10989568\"]\n  8 [size=\"126935040\", alpha=\"0.02\", expect_size=\"50774016\"] \n  8 -> 28 [size =\"50774016\"]\n  8 -> 29 [size =\"50774016\"]\n  8 -> 30 [size =\"50774016\"]\n  8 -> 31 [size =\"50774016\"]\n  8 -> 33 [size =\"50774016\"]\n  8 -> 35 [size =\"50774016\"]\n  9 [size=\"106465280\", alpha=\"0.18\", expect_size=\"42586112\"] \n  9 -> 25 [size =\"42586112\"]\n  9 -> 27 [size =\"42586112\"]\n  9 -> 28 [size =\"42586112\"]\n  9 -> 29 [size =\"42586112\"]\n  9 -> 33 [size =\"42586112\"]\n  9 -> 35 [size =\"42586112\"]\n  10 [size=\"103938560\", alpha=\"0.07\", expect_size=\"41575424\"] \n  10 -> 25 [size =\"41575424\"]\n  10 -> 27 [size =\"41575424\"]\n  10 -> 28 [size =\"41575424\"]\n  10 -> 32 [size =\"41575424\"]\n  10 -> 33 [size =\"41575424\"]\n  10 -> 35 [size =\"41575424\"]\n  11 [size=\"58096640\", alpha=\"0.16\", expect_size=\"23238656\"] \n  11 -> 25 [size =\"23238656\"]\n  11 -> 28 [size =\"23238656\"]\n  11 -> 29 [size =\"23238656\"]\n  11 -> 30 [size =\"23238656\"]\n  11 -> 35 [size =\"23238656\"]\n  11 -> 35 [size =\"23238656\"]\n  12 [size=\"107642880\", alpha=\"0.15\", expect_size=\"43057152\"] \n  12 -> 25 [size =\"43057152\"]\n  12 -> 32 [size =\"43057152\"]\n  12 -> 34 [size =\"43057152\"]\n  13 [size=\"99630080\", alpha=\"0.12\", expect_size=\"39852032\"] \n  13 -> 24 [size =\"39852032\"]\n  13 -> 28 [size =\"39852032\"]\n  13 -> 29 [size =\"39852032\"]\n  13 -> 30 [size =\"39852032\"]\n  14 [size=\"48189440\", alpha=\"0.15\", expect_size=\"19275776\"] \n  14 -> 26 [size =\"19275776\"]\n  14 -> 29 [size =\"19275776\"]\n  14 -> 32 [size =\"19275776\"]\n  15 [size=\"24056320\", alpha=\"0.10\", expect_size=\"9622528\"] \n  15 -> 28 [size =\"9622528\"]\n  15 -> 32 [size =\"9622528\"]\n  15 -> 35 [size =\"9622528\"]\n  16 [size=\"126074880\", alpha=\"0.10\", expect_size=\"50429952\"] \n  16 -> 25 [size =\"50429952\"]\n  16 -> 27 [size =\"50429952\"]\n  16 -> 30 [size =\"50429952\"]\n  16 -> 31 [size =\"50429952\"]\n  16 -> 35 [size =\"50429952\"]\n  17 [size=\"20925440\", alpha=\"0.09\", expect_size=\"8370176\"] \n  17 -> 28 [size =\"8370176\"]\n  17 -> 30 [size =\"8370176\"]\n  17 -> 32 [size =\"8370176\"]\n  17 -> 34 [size =\"8370176\"]\n  17 -> 35 [size =\"8370176\"]\n  18 [size=\"66316800\", alpha=\"0.11\", expect_size=\"26526720\"] \n  18 -> 25 [size =\"26526720\"]\n  18 -> 28 [size =\"26526720\"]\n  18 -> 30 [size =\"26526720\"]\n  18 -> 32 [size =\"26526720\"]\n  18 -> 34 [size =\"26526720\"]\n  18 -> 35 [size =\"26526720\"]\n  19 [size=\"79585280\", alpha=\"0.06\", expect_size=\"31834112\"] \n  19 -> 25 [size =\"31834112\"]\n  19 -> 27 [size =\"31834112\"]\n  19 -> 28 [size =\"31834112\"]\n  19 -> 30 [size =\"31834112\"]\n  19 -> 35 [size =\"31834112\"]\n  19 -> 35 [size =\"31834112\"]\n  20 [size=\"66444800\", alpha=\"0.00\", expect_size=\"26577920\"] \n  20 -> 25 [size =\"26577920\"]\n  20 -> 30 [size =\"26577920\"]\n  20 -> 35 [size =\"26577920\"]\n  21 [size=\"108423680\", alpha=\"0.19\", expect_size=\"43369472\"] \n  21 -> 25 [size =\"43369472\"]\n  21 -> 28 [size =\"43369472\"]\n  21 -> 35 [size =\"43369472\"]\n  22 [size=\"83893760\", alpha=\"0.12\", expect_size=\"33557504\"] \n  22 -> 25 [size =\"33557504\"]\n  22 -> 27 [size =\"33557504\"]\n  22 -> 28 [size =\"33557504\"]\n  22 -> 32 [size =\"33557504\"]\n  22 -> 35 [size =\"33557504\"]\n  23 [size=\"55073280\", alpha=\"0.04\", expect_size=\"22029312\"] \n  23 -> 24 [size =\"22029312\"]\n  23 -> 25 [size =\"22029312\"]\n  23 -> 27 [size =\"22029312\"]\n  23 -> 28 [size =\"22029312\"]\n  23 -> 29 [size =\"22029312\"]\n  23 -> 30 [size =\"22029312\"]\n  23 -> 32 [size =\"22029312\"]\n  23 -> 33 [size =\"22029312\"]\n  23 -> 34 [size =\"22029312\"]\n  23 -> 35 [size =\"22029312\"]\n  24 [size=\"124912640\", alpha=\"0.17\", expect_size=\"49965056\"] \n  25 [size=\"97305600\", alpha=\"0.04\", expect_size=\"38922240\"] \n  26 [size=\"39651840\", alpha=\"0.04\", expect_size=\"15860736\"] \n  27 [size=\"99568640\", alpha=\"0.08\", expect_size=\"39827456\"] \n  28 [size=\"32696320\", alpha=\"0.10\", expect_size=\"13078528\"] \n  29 [size=\"96688640\", alpha=\"0.09\", expect_size=\"38675456\"] \n  30 [size=\"13337600\", alpha=\"0.02\", expect_size=\"5335040\"] \n  31 [size=\"16099840\", alpha=\"0.04\", expect_size=\"6439936\"] \n  32 [size=\"128665600\", alpha=\"0.01\", expect_size=\"51466240\"] \n  33 [size=\"79096320\", alpha=\"0.13\", expect_size=\"31638528\"] \n  34 [size=\"102067200\", alpha=\"0.11\", expect_size=\"40826880\"] \n  35 [size=\"82068480\", alpha=\"0.11\", expect_size=\"32827392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129409707\", alpha=\"0.12\", expect_size=\"38822912\"] \n  1 -> 3 [size =\"38822912\"]\n  2 [size=\"130129920\", alpha=\"0.12\", expect_size=\"39038976\"] \n  2 -> 3 [size =\"39038976\"]\n  3 [size=\"159655253\", alpha=\"0.05\", expect_size=\"47896576\"] \n  3 -> 4 [size =\"47896576\"]\n  4 [size=\"71376213\", alpha=\"0.07\", expect_size=\"21412864\"] \n  4 -> 5 [size =\"21412864\"]\n  5 [size=\"116910080\", alpha=\"0.11\", expect_size=\"35073024\"] \n  5 -> 6 [size =\"35073024\"]\n  6 [size=\"120664747\", alpha=\"0.01\", expect_size=\"36199424\"] \n  6 -> 7 [size =\"36199424\"]\n  6 -> 8 [size =\"36199424\"]\n  7 [size=\"134031360\", alpha=\"0.00\", expect_size=\"40209408\"] \n  7 -> 9 [size =\"40209408\"]\n  8 [size=\"118548480\", alpha=\"0.04\", expect_size=\"35564544\"] \n  9 [size=\"154914133\", alpha=\"0.12\", expect_size=\"46474240\"] \n  9 -> 10 [size =\"46474240\"]\n  10 [size=\"144882347\", alpha=\"0.02\", expect_size=\"43464704\"] \n  10 -> 11 [size =\"43464704\"]\n  10 -> 12 [size =\"43464704\"]\n  11 [size=\"112670720\", alpha=\"0.14\", expect_size=\"33801216\"] \n  11 -> 13 [size =\"33801216\"]\n  12 [size=\"46127787\", alpha=\"0.07\", expect_size=\"13838336\"] \n  12 -> 14 [size =\"13838336\"]\n  13 [size=\"137472000\", alpha=\"0.16\", expect_size=\"41241600\"] \n  13 -> 15 [size =\"41241600\"]\n  14 [size=\"22060373\", alpha=\"0.12\", expect_size=\"6618112\"] \n  14 -> 15 [size =\"6618112\"]\n  15 [size=\"76229973\", alpha=\"0.00\", expect_size=\"22868992\"] \n  15 -> 16 [size =\"22868992\"]\n  15 -> 17 [size =\"22868992\"]\n  16 [size=\"159928320\", alpha=\"0.00\", expect_size=\"47978496\"] \n  16 -> 18 [size =\"47978496\"]\n  16 -> 19 [size =\"47978496\"]\n  17 [size=\"166273707\", alpha=\"0.18\", expect_size=\"49882112\"] \n  17 -> 18 [size =\"49882112\"]\n  17 -> 19 [size =\"49882112\"]\n  18 [size=\"169400320\", alpha=\"0.09\", expect_size=\"50820096\"] \n  18 -> 21 [size =\"50820096\"]\n  19 [size=\"41687040\", alpha=\"0.15\", expect_size=\"12506112\"] \n  19 -> 20 [size =\"12506112\"]\n  20 [size=\"132194987\", alpha=\"0.16\", expect_size=\"39658496\"] \n  20 -> 23 [size =\"39658496\"]\n  21 [size=\"150166187\", alpha=\"0.11\", expect_size=\"45049856\"] \n  21 -> 22 [size =\"45049856\"]\n  22 [size=\"101242880\", alpha=\"0.01\", expect_size=\"30372864\"] \n  22 -> 24 [size =\"30372864\"]\n  23 [size=\"154439680\", alpha=\"0.09\", expect_size=\"46331904\"] \n  23 -> 24 [size =\"46331904\"]\n  24 [size=\"124364800\", alpha=\"0.04\", expect_size=\"37309440\"] \n  24 -> 25 [size =\"37309440\"]\n  25 [size=\"59395413\", alpha=\"0.11\", expect_size=\"17818624\"] \n  25 -> 26 [size =\"17818624\"]\n  25 -> 27 [size =\"17818624\"]\n  26 [size=\"59893760\", alpha=\"0.11\", expect_size=\"17968128\"] \n  26 -> 28 [size =\"17968128\"]\n  27 [size=\"63307093\", alpha=\"0.06\", expect_size=\"18992128\"] \n  27 -> 28 [size =\"18992128\"]\n  28 [size=\"45557760\", alpha=\"0.15\", expect_size=\"13667328\"] \n  28 -> 29 [size =\"13667328\"]\n  28 -> 30 [size =\"13667328\"]\n  29 [size=\"116879360\", alpha=\"0.00\", expect_size=\"35063808\"] \n  29 -> 31 [size =\"35063808\"]\n  29 -> 32 [size =\"35063808\"]\n  30 [size=\"76151467\", alpha=\"0.02\", expect_size=\"22845440\"] \n  30 -> 31 [size =\"22845440\"]\n  31 [size=\"44530347\", alpha=\"0.16\", expect_size=\"13359104\"] \n  31 -> 33 [size =\"13359104\"]\n  31 -> 34 [size =\"13359104\"]\n  32 [size=\"133946027\", alpha=\"0.13\", expect_size=\"40183808\"] \n  32 -> 33 [size =\"40183808\"]\n  32 -> 34 [size =\"40183808\"]\n  33 [size=\"142486187\", alpha=\"0.06\", expect_size=\"42745856\"] \n  33 -> 35 [size =\"42745856\"]\n  34 [size=\"55043413\", alpha=\"0.19\", expect_size=\"16513024\"] \n  34 -> 35 [size =\"16513024\"]\n  35 [size=\"82807467\", alpha=\"0.00\", expect_size=\"24842240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99047424\", alpha=\"0.06\", expect_size=\"49523712\"] \n  1 -> 2 [size =\"49523712\"]\n  2 [size=\"62347264\", alpha=\"0.09\", expect_size=\"31173632\"] \n  2 -> 3 [size =\"31173632\"]\n  3 [size=\"24649728\", alpha=\"0.04\", expect_size=\"12324864\"] \n  3 -> 4 [size =\"12324864\"]\n  4 [size=\"24741888\", alpha=\"0.16\", expect_size=\"12370944\"] \n  4 -> 5 [size =\"12370944\"]\n  5 [size=\"33179648\", alpha=\"0.11\", expect_size=\"16589824\"] \n  5 -> 6 [size =\"16589824\"]\n  6 [size=\"57128960\", alpha=\"0.14\", expect_size=\"28564480\"] \n  6 -> 7 [size =\"28564480\"]\n  7 [size=\"28188672\", alpha=\"0.05\", expect_size=\"14094336\"] \n  7 -> 8 [size =\"14094336\"]\n  8 [size=\"77862912\", alpha=\"0.05\", expect_size=\"38931456\"] \n  8 -> 9 [size =\"38931456\"]\n  9 [size=\"54693888\", alpha=\"0.19\", expect_size=\"27346944\"] \n  9 -> 10 [size =\"27346944\"]\n  10 [size=\"69234688\", alpha=\"0.11\", expect_size=\"34617344\"] \n  10 -> 11 [size =\"34617344\"]\n  11 [size=\"104075264\", alpha=\"0.04\", expect_size=\"52037632\"] \n  11 -> 12 [size =\"52037632\"]\n  12 [size=\"35655680\", alpha=\"0.12\", expect_size=\"17827840\"] \n  12 -> 13 [size =\"17827840\"]\n  13 [size=\"77905920\", alpha=\"0.13\", expect_size=\"38952960\"] \n  13 -> 14 [size =\"38952960\"]\n  14 [size=\"99049472\", alpha=\"0.17\", expect_size=\"49524736\"] \n  14 -> 15 [size =\"49524736\"]\n  15 [size=\"80588800\", alpha=\"0.07\", expect_size=\"40294400\"] \n  15 -> 16 [size =\"40294400\"]\n  16 [size=\"40001536\", alpha=\"0.04\", expect_size=\"20000768\"] \n  16 -> 17 [size =\"20000768\"]\n  17 [size=\"12378112\", alpha=\"0.01\", expect_size=\"6189056\"] \n  17 -> 18 [size =\"6189056\"]\n  18 [size=\"34027520\", alpha=\"0.10\", expect_size=\"17013760\"] \n  18 -> 19 [size =\"17013760\"]\n  19 [size=\"58161152\", alpha=\"0.09\", expect_size=\"29080576\"] \n  19 -> 20 [size =\"29080576\"]\n  20 [size=\"52668416\", alpha=\"0.04\", expect_size=\"26334208\"] \n  20 -> 21 [size =\"26334208\"]\n  21 [size=\"103415808\", alpha=\"0.18\", expect_size=\"51707904\"] \n  21 -> 22 [size =\"51707904\"]\n  22 [size=\"28848128\", alpha=\"0.03\", expect_size=\"14424064\"] \n  22 -> 23 [size =\"14424064\"]\n  23 [size=\"84635648\", alpha=\"0.11\", expect_size=\"42317824\"] \n  23 -> 24 [size =\"42317824\"]\n  24 [size=\"50520064\", alpha=\"0.01\", expect_size=\"25260032\"] \n  24 -> 25 [size =\"25260032\"]\n  25 [size=\"37728256\", alpha=\"0.17\", expect_size=\"18864128\"] \n  25 -> 26 [size =\"18864128\"]\n  26 [size=\"69242880\", alpha=\"0.03\", expect_size=\"34621440\"] \n  26 -> 27 [size =\"34621440\"]\n  27 [size=\"89180160\", alpha=\"0.12\", expect_size=\"44590080\"] \n  27 -> 28 [size =\"44590080\"]\n  28 [size=\"92391424\", alpha=\"0.15\", expect_size=\"46195712\"] \n  28 -> 29 [size =\"46195712\"]\n  29 [size=\"43585536\", alpha=\"0.08\", expect_size=\"21792768\"] \n  29 -> 30 [size =\"21792768\"]\n  30 [size=\"86233088\", alpha=\"0.14\", expect_size=\"43116544\"] \n  30 -> 31 [size =\"43116544\"]\n  31 [size=\"11128832\", alpha=\"0.19\", expect_size=\"5564416\"] \n  31 -> 32 [size =\"5564416\"]\n  32 [size=\"95580160\", alpha=\"0.09\", expect_size=\"47790080\"] \n  32 -> 33 [size =\"47790080\"]\n  33 [size=\"13963264\", alpha=\"0.14\", expect_size=\"6981632\"] \n  33 -> 34 [size =\"6981632\"]\n  34 [size=\"63555584\", alpha=\"0.18\", expect_size=\"31777792\"] \n  34 -> 35 [size =\"31777792\"]\n  35 [size=\"69873664\", alpha=\"0.16\", expect_size=\"34936832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27781120\", alpha=\"0.06\", expect_size=\"11112448\"] \n  1 -> 4 [size =\"11112448\"]\n  2 [size=\"19957760\", alpha=\"0.19\", expect_size=\"7983104\"] \n  2 -> 3 [size =\"7983104\"]\n  2 -> 4 [size =\"7983104\"]\n  3 [size=\"102077440\", alpha=\"0.11\", expect_size=\"40830976\"] \n  3 -> 5 [size =\"40830976\"]\n  3 -> 6 [size =\"40830976\"]\n  4 [size=\"126389760\", alpha=\"0.10\", expect_size=\"50555904\"] \n  4 -> 6 [size =\"50555904\"]\n  5 [size=\"67612160\", alpha=\"0.14\", expect_size=\"27044864\"] \n  5 -> 7 [size =\"27044864\"]\n  6 [size=\"62528000\", alpha=\"0.14\", expect_size=\"25011200\"] \n  6 -> 7 [size =\"25011200\"]\n  7 [size=\"62028800\", alpha=\"0.12\", expect_size=\"24811520\"] \n  7 -> 8 [size =\"24811520\"]\n  7 -> 9 [size =\"24811520\"]\n  8 [size=\"18214400\", alpha=\"0.12\", expect_size=\"7285760\"] \n  8 -> 10 [size =\"7285760\"]\n  8 -> 11 [size =\"7285760\"]\n  9 [size=\"95605760\", alpha=\"0.11\", expect_size=\"38242304\"] \n  10 [size=\"52454400\", alpha=\"0.08\", expect_size=\"20981760\"] \n  10 -> 12 [size =\"20981760\"]\n  10 -> 13 [size =\"20981760\"]\n  11 [size=\"21731840\", alpha=\"0.09\", expect_size=\"8692736\"] \n  11 -> 12 [size =\"8692736\"]\n  11 -> 13 [size =\"8692736\"]\n  12 [size=\"57413120\", alpha=\"0.13\", expect_size=\"22965248\"] \n  12 -> 14 [size =\"22965248\"]\n  12 -> 15 [size =\"22965248\"]\n  13 [size=\"53345280\", alpha=\"0.06\", expect_size=\"21338112\"] \n  13 -> 14 [size =\"21338112\"]\n  13 -> 15 [size =\"21338112\"]\n  14 [size=\"116341760\", alpha=\"0.06\", expect_size=\"46536704\"] \n  14 -> 16 [size =\"46536704\"]\n  15 [size=\"58483200\", alpha=\"0.04\", expect_size=\"23393280\"] \n  15 -> 16 [size =\"23393280\"]\n  16 [size=\"21445120\", alpha=\"0.15\", expect_size=\"8578048\"] \n  16 -> 17 [size =\"8578048\"]\n  16 -> 18 [size =\"8578048\"]\n  17 [size=\"101207040\", alpha=\"0.10\", expect_size=\"40482816\"] \n  17 -> 19 [size =\"40482816\"]\n  17 -> 20 [size =\"40482816\"]\n  18 [size=\"54543360\", alpha=\"0.07\", expect_size=\"21817344\"] \n  18 -> 19 [size =\"21817344\"]\n  19 [size=\"123737600\", alpha=\"0.08\", expect_size=\"49495040\"] \n  19 -> 21 [size =\"49495040\"]\n  20 [size=\"70433280\", alpha=\"0.19\", expect_size=\"28173312\"] \n  20 -> 21 [size =\"28173312\"]\n  21 [size=\"117155840\", alpha=\"0.13\", expect_size=\"46862336\"] \n  21 -> 22 [size =\"46862336\"]\n  21 -> 23 [size =\"46862336\"]\n  22 [size=\"52213760\", alpha=\"0.08\", expect_size=\"20885504\"] \n  22 -> 24 [size =\"20885504\"]\n  22 -> 25 [size =\"20885504\"]\n  23 [size=\"130570240\", alpha=\"0.18\", expect_size=\"52228096\"] \n  24 [size=\"45806080\", alpha=\"0.07\", expect_size=\"18322432\"] \n  24 -> 26 [size =\"18322432\"]\n  25 [size=\"83609600\", alpha=\"0.06\", expect_size=\"33443840\"] \n  26 [size=\"104563200\", alpha=\"0.12\", expect_size=\"41825280\"] \n  26 -> 27 [size =\"41825280\"]\n  26 -> 28 [size =\"41825280\"]\n  27 [size=\"77870080\", alpha=\"0.07\", expect_size=\"31148032\"] \n  27 -> 29 [size =\"31148032\"]\n  28 [size=\"18378240\", alpha=\"0.03\", expect_size=\"7351296\"] \n  28 -> 29 [size =\"7351296\"]\n  28 -> 30 [size =\"7351296\"]\n  29 [size=\"61964800\", alpha=\"0.13\", expect_size=\"24785920\"] \n  29 -> 31 [size =\"24785920\"]\n  29 -> 32 [size =\"24785920\"]\n  30 [size=\"108756480\", alpha=\"0.10\", expect_size=\"43502592\"] \n  30 -> 31 [size =\"43502592\"]\n  31 [size=\"104030720\", alpha=\"0.08\", expect_size=\"41612288\"] \n  31 -> 33 [size =\"41612288\"]\n  31 -> 34 [size =\"41612288\"]\n  32 [size=\"62458880\", alpha=\"0.14\", expect_size=\"24983552\"] \n  32 -> 33 [size =\"24983552\"]\n  33 [size=\"108864000\", alpha=\"0.06\", expect_size=\"43545600\"] \n  34 [size=\"96284160\", alpha=\"0.16\", expect_size=\"38513664\"] \n  34 -> 35 [size =\"38513664\"]\n  35 [size=\"20037120\", alpha=\"0.14\", expect_size=\"8014848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108974080\", alpha=\"0.14\", expect_size=\"43589632\"] \n  1 -> 15 [size =\"43589632\"]\n  1 -> 21 [size =\"43589632\"]\n  1 -> 23 [size =\"43589632\"]\n  1 -> 24 [size =\"43589632\"]\n  1 -> 26 [size =\"43589632\"]\n  2 [size=\"96552960\", alpha=\"0.05\", expect_size=\"38621184\"] \n  2 -> 15 [size =\"38621184\"]\n  2 -> 17 [size =\"38621184\"]\n  2 -> 18 [size =\"38621184\"]\n  2 -> 24 [size =\"38621184\"]\n  2 -> 26 [size =\"38621184\"]\n  3 [size=\"82936320\", alpha=\"0.20\", expect_size=\"33174528\"] \n  3 -> 17 [size =\"33174528\"]\n  3 -> 18 [size =\"33174528\"]\n  4 [size=\"45923840\", alpha=\"0.03\", expect_size=\"18369536\"] \n  4 -> 14 [size =\"18369536\"]\n  4 -> 17 [size =\"18369536\"]\n  4 -> 18 [size =\"18369536\"]\n  4 -> 19 [size =\"18369536\"]\n  4 -> 26 [size =\"18369536\"]\n  5 [size=\"57134080\", alpha=\"0.11\", expect_size=\"22853632\"] \n  5 -> 15 [size =\"22853632\"]\n  5 -> 22 [size =\"22853632\"]\n  5 -> 26 [size =\"22853632\"]\n  6 [size=\"39749120\", alpha=\"0.15\", expect_size=\"15899648\"] \n  6 -> 14 [size =\"15899648\"]\n  6 -> 15 [size =\"15899648\"]\n  6 -> 16 [size =\"15899648\"]\n  6 -> 17 [size =\"15899648\"]\n  6 -> 19 [size =\"15899648\"]\n  6 -> 25 [size =\"15899648\"]\n  6 -> 27 [size =\"15899648\"]\n  7 [size=\"31075840\", alpha=\"0.06\", expect_size=\"12430336\"] \n  7 -> 16 [size =\"12430336\"]\n  7 -> 22 [size =\"12430336\"]\n  7 -> 23 [size =\"12430336\"]\n  7 -> 24 [size =\"12430336\"]\n  7 -> 25 [size =\"12430336\"]\n  8 [size=\"32384000\", alpha=\"0.14\", expect_size=\"12953600\"] \n  8 -> 14 [size =\"12953600\"]\n  8 -> 15 [size =\"12953600\"]\n  8 -> 16 [size =\"12953600\"]\n  8 -> 19 [size =\"12953600\"]\n  8 -> 22 [size =\"12953600\"]\n  8 -> 24 [size =\"12953600\"]\n  8 -> 25 [size =\"12953600\"]\n  9 [size=\"130682880\", alpha=\"0.02\", expect_size=\"52273152\"] \n  9 -> 14 [size =\"52273152\"]\n  9 -> 16 [size =\"52273152\"]\n  9 -> 17 [size =\"52273152\"]\n  9 -> 25 [size =\"52273152\"]\n  10 [size=\"43619840\", alpha=\"0.18\", expect_size=\"17447936\"] \n  10 -> 16 [size =\"17447936\"]\n  10 -> 17 [size =\"17447936\"]\n  11 [size=\"93470720\", alpha=\"0.15\", expect_size=\"37388288\"] \n  11 -> 20 [size =\"37388288\"]\n  11 -> 24 [size =\"37388288\"]\n  12 [size=\"55720960\", alpha=\"0.17\", expect_size=\"22288384\"] \n  12 -> 24 [size =\"22288384\"]\n  12 -> 25 [size =\"22288384\"]\n  12 -> 26 [size =\"22288384\"]\n  13 [size=\"83617280\", alpha=\"0.20\", expect_size=\"33446912\"] \n  13 -> 17 [size =\"33446912\"]\n  13 -> 22 [size =\"33446912\"]\n  13 -> 26 [size =\"33446912\"]\n  14 [size=\"80742400\", alpha=\"0.15\", expect_size=\"32296960\"] \n  14 -> 29 [size =\"32296960\"]\n  14 -> 31 [size =\"32296960\"]\n  14 -> 35 [size =\"32296960\"]\n  15 [size=\"96903680\", alpha=\"0.15\", expect_size=\"38761472\"] \n  15 -> 31 [size =\"38761472\"]\n  15 -> 31 [size =\"38761472\"]\n  15 -> 32 [size =\"38761472\"]\n  16 [size=\"45652480\", alpha=\"0.06\", expect_size=\"18260992\"] \n  16 -> 32 [size =\"18260992\"]\n  17 [size=\"18585600\", alpha=\"0.20\", expect_size=\"7434240\"] \n  17 -> 28 [size =\"7434240\"]\n  17 -> 29 [size =\"7434240\"]\n  18 [size=\"54251520\", alpha=\"0.08\", expect_size=\"21700608\"] \n  19 [size=\"16069120\", alpha=\"0.12\", expect_size=\"6427648\"] \n  19 -> 29 [size =\"6427648\"]\n  19 -> 30 [size =\"6427648\"]\n  19 -> 31 [size =\"6427648\"]\n  20 [size=\"26808320\", alpha=\"0.10\", expect_size=\"10723328\"] \n  20 -> 29 [size =\"10723328\"]\n  20 -> 33 [size =\"10723328\"]\n  21 [size=\"17285120\", alpha=\"0.05\", expect_size=\"6914048\"] \n  22 [size=\"105090560\", alpha=\"0.13\", expect_size=\"42036224\"] \n  22 -> 35 [size =\"42036224\"]\n  23 [size=\"85025280\", alpha=\"0.13\", expect_size=\"34010112\"] \n  23 -> 34 [size =\"34010112\"]\n  23 -> 35 [size =\"34010112\"]\n  24 [size=\"82270720\", alpha=\"0.19\", expect_size=\"32908288\"] \n  24 -> 29 [size =\"32908288\"]\n  24 -> 35 [size =\"32908288\"]\n  25 [size=\"50977280\", alpha=\"0.12\", expect_size=\"20390912\"] \n  25 -> 29 [size =\"20390912\"]\n  25 -> 32 [size =\"20390912\"]\n  25 -> 35 [size =\"20390912\"]\n  26 [size=\"19079680\", alpha=\"0.10\", expect_size=\"7631872\"] \n  26 -> 29 [size =\"7631872\"]\n  26 -> 31 [size =\"7631872\"]\n  26 -> 34 [size =\"7631872\"]\n  26 -> 35 [size =\"7631872\"]\n  27 [size=\"53178880\", alpha=\"0.11\", expect_size=\"21271552\"] \n  27 -> 31 [size =\"21271552\"]\n  27 -> 35 [size =\"21271552\"]\n  28 [size=\"52200960\", alpha=\"0.15\", expect_size=\"20880384\"] \n  29 [size=\"100364800\", alpha=\"0.19\", expect_size=\"40145920\"] \n  30 [size=\"55198720\", alpha=\"0.08\", expect_size=\"22079488\"] \n  31 [size=\"115947520\", alpha=\"0.11\", expect_size=\"46379008\"] \n  32 [size=\"24581120\", alpha=\"0.01\", expect_size=\"9832448\"] \n  33 [size=\"100480000\", alpha=\"0.03\", expect_size=\"40192000\"] \n  34 [size=\"59576320\", alpha=\"0.16\", expect_size=\"23830528\"] \n  35 [size=\"52654080\", alpha=\"0.04\", expect_size=\"21061632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87759360\", alpha=\"0.02\", expect_size=\"35103744\"] \n  1 -> 2 [size =\"35103744\"]\n  1 -> 3 [size =\"35103744\"]\n  2 [size=\"60221440\", alpha=\"0.14\", expect_size=\"24088576\"] \n  3 [size=\"13568000\", alpha=\"0.07\", expect_size=\"5427200\"] \n  3 -> 4 [size =\"5427200\"]\n  4 [size=\"17031680\", alpha=\"0.01\", expect_size=\"6812672\"] \n  4 -> 5 [size =\"6812672\"]\n  5 [size=\"90542080\", alpha=\"0.05\", expect_size=\"36216832\"] \n  5 -> 6 [size =\"36216832\"]\n  5 -> 7 [size =\"36216832\"]\n  6 [size=\"72724480\", alpha=\"0.08\", expect_size=\"29089792\"] \n  6 -> 8 [size =\"29089792\"]\n  6 -> 9 [size =\"29089792\"]\n  7 [size=\"108216320\", alpha=\"0.15\", expect_size=\"43286528\"] \n  7 -> 8 [size =\"43286528\"]\n  7 -> 9 [size =\"43286528\"]\n  8 [size=\"122557440\", alpha=\"0.03\", expect_size=\"49022976\"] \n  8 -> 10 [size =\"49022976\"]\n  8 -> 11 [size =\"49022976\"]\n  9 [size=\"15833600\", alpha=\"0.00\", expect_size=\"6333440\"] \n  9 -> 10 [size =\"6333440\"]\n  9 -> 11 [size =\"6333440\"]\n  10 [size=\"64947200\", alpha=\"0.13\", expect_size=\"25978880\"] \n  10 -> 12 [size =\"25978880\"]\n  11 [size=\"129287680\", alpha=\"0.00\", expect_size=\"51715072\"] \n  11 -> 12 [size =\"51715072\"]\n  12 [size=\"22704640\", alpha=\"0.08\", expect_size=\"9081856\"] \n  12 -> 13 [size =\"9081856\"]\n  12 -> 14 [size =\"9081856\"]\n  13 [size=\"107543040\", alpha=\"0.04\", expect_size=\"43017216\"] \n  13 -> 15 [size =\"43017216\"]\n  13 -> 16 [size =\"43017216\"]\n  14 [size=\"33628160\", alpha=\"0.10\", expect_size=\"13451264\"] \n  14 -> 15 [size =\"13451264\"]\n  14 -> 16 [size =\"13451264\"]\n  15 [size=\"41479680\", alpha=\"0.14\", expect_size=\"16591872\"] \n  15 -> 17 [size =\"16591872\"]\n  16 [size=\"70072320\", alpha=\"0.13\", expect_size=\"28028928\"] \n  16 -> 17 [size =\"28028928\"]\n  17 [size=\"118272000\", alpha=\"0.14\", expect_size=\"47308800\"] \n  17 -> 18 [size =\"47308800\"]\n  18 [size=\"91289600\", alpha=\"0.01\", expect_size=\"36515840\"] \n  18 -> 19 [size =\"36515840\"]\n  19 [size=\"106754560\", alpha=\"0.00\", expect_size=\"42701824\"] \n  19 -> 20 [size =\"42701824\"]\n  20 [size=\"108751360\", alpha=\"0.15\", expect_size=\"43500544\"] \n  20 -> 21 [size =\"43500544\"]\n  21 [size=\"65000960\", alpha=\"0.03\", expect_size=\"26000384\"] \n  21 -> 22 [size =\"26000384\"]\n  22 [size=\"66158080\", alpha=\"0.18\", expect_size=\"26463232\"] \n  22 -> 23 [size =\"26463232\"]\n  23 [size=\"114667520\", alpha=\"0.14\", expect_size=\"45867008\"] \n  23 -> 24 [size =\"45867008\"]\n  24 [size=\"22755840\", alpha=\"0.10\", expect_size=\"9102336\"] \n  24 -> 25 [size =\"9102336\"]\n  24 -> 26 [size =\"9102336\"]\n  25 [size=\"80130560\", alpha=\"0.19\", expect_size=\"32052224\"] \n  25 -> 27 [size =\"32052224\"]\n  26 [size=\"42977280\", alpha=\"0.18\", expect_size=\"17190912\"] \n  26 -> 28 [size =\"17190912\"]\n  27 [size=\"119598080\", alpha=\"0.14\", expect_size=\"47839232\"] \n  27 -> 29 [size =\"47839232\"]\n  28 [size=\"84229120\", alpha=\"0.08\", expect_size=\"33691648\"] \n  28 -> 29 [size =\"33691648\"]\n  29 [size=\"90091520\", alpha=\"0.03\", expect_size=\"36036608\"] \n  29 -> 30 [size =\"36036608\"]\n  29 -> 31 [size =\"36036608\"]\n  30 [size=\"92344320\", alpha=\"0.06\", expect_size=\"36937728\"] \n  30 -> 32 [size =\"36937728\"]\n  30 -> 33 [size =\"36937728\"]\n  31 [size=\"63810560\", alpha=\"0.09\", expect_size=\"25524224\"] \n  31 -> 32 [size =\"25524224\"]\n  32 [size=\"79150080\", alpha=\"0.14\", expect_size=\"31660032\"] \n  32 -> 34 [size =\"31660032\"]\n  32 -> 35 [size =\"31660032\"]\n  33 [size=\"67507200\", alpha=\"0.14\", expect_size=\"27002880\"] \n  33 -> 34 [size =\"27002880\"]\n  33 -> 35 [size =\"27002880\"]\n  34 [size=\"29345280\", alpha=\"0.18\", expect_size=\"11738112\"] \n  35 [size=\"86556160\", alpha=\"0.07\", expect_size=\"34622464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70457344\", alpha=\"0.07\", expect_size=\"35228672\"] \n  1 -> 20 [size =\"35228672\"]\n  1 -> 22 [size =\"35228672\"]\n  1 -> 30 [size =\"35228672\"]\n  1 -> 31 [size =\"35228672\"]\n  1 -> 35 [size =\"35228672\"]\n  2 [size=\"69320704\", alpha=\"0.09\", expect_size=\"34660352\"] \n  2 -> 20 [size =\"34660352\"]\n  2 -> 23 [size =\"34660352\"]\n  2 -> 27 [size =\"34660352\"]\n  2 -> 29 [size =\"34660352\"]\n  2 -> 31 [size =\"34660352\"]\n  2 -> 35 [size =\"34660352\"]\n  3 [size=\"60160000\", alpha=\"0.05\", expect_size=\"30080000\"] \n  3 -> 27 [size =\"30080000\"]\n  3 -> 28 [size =\"30080000\"]\n  3 -> 29 [size =\"30080000\"]\n  3 -> 29 [size =\"30080000\"]\n  3 -> 32 [size =\"30080000\"]\n  3 -> 35 [size =\"30080000\"]\n  4 [size=\"28143616\", alpha=\"0.16\", expect_size=\"14071808\"] \n  4 -> 19 [size =\"14071808\"]\n  4 -> 20 [size =\"14071808\"]\n  4 -> 25 [size =\"14071808\"]\n  4 -> 27 [size =\"14071808\"]\n  4 -> 28 [size =\"14071808\"]\n  4 -> 32 [size =\"14071808\"]\n  4 -> 34 [size =\"14071808\"]\n  4 -> 35 [size =\"14071808\"]\n  5 [size=\"85110784\", alpha=\"0.18\", expect_size=\"42555392\"] \n  5 -> 19 [size =\"42555392\"]\n  5 -> 20 [size =\"42555392\"]\n  5 -> 22 [size =\"42555392\"]\n  5 -> 23 [size =\"42555392\"]\n  5 -> 27 [size =\"42555392\"]\n  5 -> 28 [size =\"42555392\"]\n  5 -> 30 [size =\"42555392\"]\n  5 -> 31 [size =\"42555392\"]\n  5 -> 32 [size =\"42555392\"]\n  5 -> 35 [size =\"42555392\"]\n  6 [size=\"73390080\", alpha=\"0.16\", expect_size=\"36695040\"] \n  6 -> 20 [size =\"36695040\"]\n  6 -> 22 [size =\"36695040\"]\n  6 -> 23 [size =\"36695040\"]\n  6 -> 24 [size =\"36695040\"]\n  6 -> 27 [size =\"36695040\"]\n  6 -> 28 [size =\"36695040\"]\n  6 -> 29 [size =\"36695040\"]\n  6 -> 32 [size =\"36695040\"]\n  6 -> 34 [size =\"36695040\"]\n  6 -> 35 [size =\"36695040\"]\n  7 [size=\"95662080\", alpha=\"0.05\", expect_size=\"47831040\"] \n  7 -> 19 [size =\"47831040\"]\n  7 -> 20 [size =\"47831040\"]\n  7 -> 22 [size =\"47831040\"]\n  7 -> 23 [size =\"47831040\"]\n  7 -> 27 [size =\"47831040\"]\n  7 -> 29 [size =\"47831040\"]\n  7 -> 31 [size =\"47831040\"]\n  7 -> 35 [size =\"47831040\"]\n  8 [size=\"82831360\", alpha=\"0.17\", expect_size=\"41415680\"] \n  8 -> 19 [size =\"41415680\"]\n  8 -> 20 [size =\"41415680\"]\n  8 -> 22 [size =\"41415680\"]\n  8 -> 23 [size =\"41415680\"]\n  8 -> 28 [size =\"41415680\"]\n  8 -> 29 [size =\"41415680\"]\n  8 -> 30 [size =\"41415680\"]\n  8 -> 35 [size =\"41415680\"]\n  9 [size=\"62412800\", alpha=\"0.14\", expect_size=\"31206400\"] \n  9 -> 19 [size =\"31206400\"]\n  9 -> 22 [size =\"31206400\"]\n  9 -> 23 [size =\"31206400\"]\n  9 -> 25 [size =\"31206400\"]\n  9 -> 27 [size =\"31206400\"]\n  9 -> 29 [size =\"31206400\"]\n  9 -> 31 [size =\"31206400\"]\n  9 -> 34 [size =\"31206400\"]\n  10 [size=\"77694976\", alpha=\"0.19\", expect_size=\"38847488\"] \n  10 -> 19 [size =\"38847488\"]\n  10 -> 22 [size =\"38847488\"]\n  10 -> 27 [size =\"38847488\"]\n  10 -> 29 [size =\"38847488\"]\n  10 -> 30 [size =\"38847488\"]\n  10 -> 34 [size =\"38847488\"]\n  10 -> 35 [size =\"38847488\"]\n  11 [size=\"30687232\", alpha=\"0.04\", expect_size=\"15343616\"] \n  11 -> 22 [size =\"15343616\"]\n  11 -> 22 [size =\"15343616\"]\n  11 -> 23 [size =\"15343616\"]\n  11 -> 24 [size =\"15343616\"]\n  11 -> 27 [size =\"15343616\"]\n  11 -> 29 [size =\"15343616\"]\n  11 -> 30 [size =\"15343616\"]\n  11 -> 31 [size =\"15343616\"]\n  11 -> 35 [size =\"15343616\"]\n  12 [size=\"64233472\", alpha=\"0.04\", expect_size=\"32116736\"] \n  12 -> 19 [size =\"32116736\"]\n  12 -> 20 [size =\"32116736\"]\n  12 -> 21 [size =\"32116736\"]\n  12 -> 26 [size =\"32116736\"]\n  12 -> 29 [size =\"32116736\"]\n  12 -> 30 [size =\"32116736\"]\n  12 -> 31 [size =\"32116736\"]\n  12 -> 35 [size =\"32116736\"]\n  13 [size=\"11780096\", alpha=\"0.13\", expect_size=\"5890048\"] \n  13 -> 19 [size =\"5890048\"]\n  13 -> 20 [size =\"5890048\"]\n  13 -> 21 [size =\"5890048\"]\n  13 -> 22 [size =\"5890048\"]\n  13 -> 27 [size =\"5890048\"]\n  13 -> 29 [size =\"5890048\"]\n  13 -> 30 [size =\"5890048\"]\n  13 -> 33 [size =\"5890048\"]\n  14 [size=\"35860480\", alpha=\"0.11\", expect_size=\"17930240\"] \n  14 -> 19 [size =\"17930240\"]\n  14 -> 20 [size =\"17930240\"]\n  14 -> 21 [size =\"17930240\"]\n  14 -> 22 [size =\"17930240\"]\n  14 -> 27 [size =\"17930240\"]\n  14 -> 30 [size =\"17930240\"]\n  14 -> 33 [size =\"17930240\"]\n  15 [size=\"17590272\", alpha=\"0.13\", expect_size=\"8795136\"] \n  15 -> 20 [size =\"8795136\"]\n  15 -> 22 [size =\"8795136\"]\n  15 -> 23 [size =\"8795136\"]\n  15 -> 24 [size =\"8795136\"]\n  15 -> 25 [size =\"8795136\"]\n  15 -> 27 [size =\"8795136\"]\n  15 -> 28 [size =\"8795136\"]\n  15 -> 31 [size =\"8795136\"]\n  15 -> 34 [size =\"8795136\"]\n  16 [size=\"102287360\", alpha=\"0.19\", expect_size=\"51143680\"] \n  16 -> 20 [size =\"51143680\"]\n  16 -> 23 [size =\"51143680\"]\n  16 -> 27 [size =\"51143680\"]\n  16 -> 30 [size =\"51143680\"]\n  16 -> 31 [size =\"51143680\"]\n  16 -> 32 [size =\"51143680\"]\n  17 [size=\"82571264\", alpha=\"0.03\", expect_size=\"41285632\"] \n  17 -> 19 [size =\"41285632\"]\n  17 -> 20 [size =\"41285632\"]\n  17 -> 22 [size =\"41285632\"]\n  17 -> 23 [size =\"41285632\"]\n  17 -> 27 [size =\"41285632\"]\n  17 -> 31 [size =\"41285632\"]\n  17 -> 35 [size =\"41285632\"]\n  18 [size=\"12791808\", alpha=\"0.15\", expect_size=\"6395904\"] \n  18 -> 20 [size =\"6395904\"]\n  18 -> 20 [size =\"6395904\"]\n  18 -> 22 [size =\"6395904\"]\n  18 -> 23 [size =\"6395904\"]\n  18 -> 27 [size =\"6395904\"]\n  18 -> 28 [size =\"6395904\"]\n  18 -> 31 [size =\"6395904\"]\n  18 -> 32 [size =\"6395904\"]\n  18 -> 35 [size =\"6395904\"]\n  19 [size=\"90689536\", alpha=\"0.03\", expect_size=\"45344768\"] \n  20 [size=\"60254208\", alpha=\"0.09\", expect_size=\"30127104\"] \n  21 [size=\"56666112\", alpha=\"0.08\", expect_size=\"28333056\"] \n  22 [size=\"75907072\", alpha=\"0.19\", expect_size=\"37953536\"] \n  23 [size=\"97118208\", alpha=\"0.01\", expect_size=\"48559104\"] \n  24 [size=\"65466368\", alpha=\"0.06\", expect_size=\"32733184\"] \n  25 [size=\"23691264\", alpha=\"0.08\", expect_size=\"11845632\"] \n  26 [size=\"86943744\", alpha=\"0.02\", expect_size=\"43471872\"] \n  27 [size=\"80740352\", alpha=\"0.15\", expect_size=\"40370176\"] \n  28 [size=\"95959040\", alpha=\"0.03\", expect_size=\"47979520\"] \n  29 [size=\"72249344\", alpha=\"0.02\", expect_size=\"36124672\"] \n  30 [size=\"87302144\", alpha=\"0.15\", expect_size=\"43651072\"] \n  31 [size=\"36360192\", alpha=\"0.13\", expect_size=\"18180096\"] \n  32 [size=\"73768960\", alpha=\"0.02\", expect_size=\"36884480\"] \n  33 [size=\"69617664\", alpha=\"0.11\", expect_size=\"34808832\"] \n  34 [size=\"73584640\", alpha=\"0.05\", expect_size=\"36792320\"] \n  35 [size=\"103327744\", alpha=\"0.01\", expect_size=\"51663872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26900480\", alpha=\"0.13\", expect_size=\"8070144\"] \n  1 -> 18 [size =\"8070144\"]\n  2 [size=\"59060907\", alpha=\"0.19\", expect_size=\"17718272\"] \n  2 -> 11 [size =\"17718272\"]\n  2 -> 16 [size =\"17718272\"]\n  3 [size=\"46312107\", alpha=\"0.08\", expect_size=\"13893632\"] \n  3 -> 11 [size =\"13893632\"]\n  3 -> 12 [size =\"13893632\"]\n  3 -> 15 [size =\"13893632\"]\n  4 [size=\"90453333\", alpha=\"0.14\", expect_size=\"27136000\"] \n  4 -> 10 [size =\"27136000\"]\n  4 -> 11 [size =\"27136000\"]\n  4 -> 14 [size =\"27136000\"]\n  4 -> 15 [size =\"27136000\"]\n  4 -> 16 [size =\"27136000\"]\n  4 -> 18 [size =\"27136000\"]\n  5 [size=\"52118187\", alpha=\"0.20\", expect_size=\"15635456\"] \n  5 -> 14 [size =\"15635456\"]\n  5 -> 16 [size =\"15635456\"]\n  6 [size=\"128518827\", alpha=\"0.07\", expect_size=\"38555648\"] \n  6 -> 10 [size =\"38555648\"]\n  6 -> 13 [size =\"38555648\"]\n  6 -> 15 [size =\"38555648\"]\n  6 -> 17 [size =\"38555648\"]\n  6 -> 18 [size =\"38555648\"]\n  6 -> 19 [size =\"38555648\"]\n  6 -> 20 [size =\"38555648\"]\n  7 [size=\"19578880\", alpha=\"0.12\", expect_size=\"5873664\"] \n  7 -> 13 [size =\"5873664\"]\n  7 -> 18 [size =\"5873664\"]\n  7 -> 19 [size =\"5873664\"]\n  8 [size=\"148592640\", alpha=\"0.06\", expect_size=\"44577792\"] \n  8 -> 10 [size =\"44577792\"]\n  8 -> 13 [size =\"44577792\"]\n  8 -> 14 [size =\"44577792\"]\n  8 -> 18 [size =\"44577792\"]\n  9 [size=\"29934933\", alpha=\"0.14\", expect_size=\"8980480\"] \n  10 [size=\"49257813\", alpha=\"0.07\", expect_size=\"14777344\"] \n  10 -> 22 [size =\"14777344\"]\n  10 -> 23 [size =\"14777344\"]\n  10 -> 25 [size =\"14777344\"]\n  10 -> 26 [size =\"14777344\"]\n  10 -> 30 [size =\"14777344\"]\n  11 [size=\"142609067\", alpha=\"0.08\", expect_size=\"42782720\"] \n  11 -> 21 [size =\"42782720\"]\n  11 -> 25 [size =\"42782720\"]\n  11 -> 31 [size =\"42782720\"]\n  12 [size=\"87848960\", alpha=\"0.07\", expect_size=\"26354688\"] \n  12 -> 23 [size =\"26354688\"]\n  12 -> 24 [size =\"26354688\"]\n  12 -> 26 [size =\"26354688\"]\n  12 -> 27 [size =\"26354688\"]\n  12 -> 29 [size =\"26354688\"]\n  12 -> 30 [size =\"26354688\"]\n  12 -> 31 [size =\"26354688\"]\n  12 -> 32 [size =\"26354688\"]\n  13 [size=\"76997973\", alpha=\"0.10\", expect_size=\"23099392\"] \n  13 -> 24 [size =\"23099392\"]\n  13 -> 25 [size =\"23099392\"]\n  13 -> 29 [size =\"23099392\"]\n  13 -> 30 [size =\"23099392\"]\n  14 [size=\"137345707\", alpha=\"0.12\", expect_size=\"41203712\"] \n  14 -> 28 [size =\"41203712\"]\n  14 -> 31 [size =\"41203712\"]\n  14 -> 32 [size =\"41203712\"]\n  15 [size=\"92030293\", alpha=\"0.04\", expect_size=\"27609088\"] \n  15 -> 25 [size =\"27609088\"]\n  15 -> 26 [size =\"27609088\"]\n  15 -> 28 [size =\"27609088\"]\n  15 -> 31 [size =\"27609088\"]\n  15 -> 32 [size =\"27609088\"]\n  16 [size=\"91832320\", alpha=\"0.15\", expect_size=\"27549696\"] \n  16 -> 22 [size =\"27549696\"]\n  16 -> 26 [size =\"27549696\"]\n  16 -> 27 [size =\"27549696\"]\n  16 -> 29 [size =\"27549696\"]\n  17 [size=\"149869227\", alpha=\"0.01\", expect_size=\"44960768\"] \n  17 -> 27 [size =\"44960768\"]\n  17 -> 28 [size =\"44960768\"]\n  17 -> 29 [size =\"44960768\"]\n  17 -> 31 [size =\"44960768\"]\n  18 [size=\"83978240\", alpha=\"0.11\", expect_size=\"25193472\"] \n  18 -> 25 [size =\"25193472\"]\n  19 [size=\"127590400\", alpha=\"0.18\", expect_size=\"38277120\"] \n  19 -> 29 [size =\"38277120\"]\n  20 [size=\"83599360\", alpha=\"0.14\", expect_size=\"25079808\"] \n  20 -> 24 [size =\"25079808\"]\n  21 [size=\"138963627\", alpha=\"0.12\", expect_size=\"41689088\"] \n  21 -> 35 [size =\"41689088\"]\n  22 [size=\"46697813\", alpha=\"0.15\", expect_size=\"14009344\"] \n  23 [size=\"104813227\", alpha=\"0.01\", expect_size=\"31443968\"] \n  24 [size=\"24558933\", alpha=\"0.17\", expect_size=\"7367680\"] \n  24 -> 33 [size =\"7367680\"]\n  25 [size=\"117306027\", alpha=\"0.17\", expect_size=\"35191808\"] \n  25 -> 34 [size =\"35191808\"]\n  26 [size=\"150022827\", alpha=\"0.11\", expect_size=\"45006848\"] \n  26 -> 35 [size =\"45006848\"]\n  27 [size=\"112732160\", alpha=\"0.06\", expect_size=\"33819648\"] \n  27 -> 35 [size =\"33819648\"]\n  28 [size=\"119613440\", alpha=\"0.17\", expect_size=\"35884032\"] \n  28 -> 35 [size =\"35884032\"]\n  29 [size=\"49165653\", alpha=\"0.10\", expect_size=\"14749696\"] \n  29 -> 33 [size =\"14749696\"]\n  29 -> 35 [size =\"14749696\"]\n  30 [size=\"31924907\", alpha=\"0.07\", expect_size=\"9577472\"] \n  30 -> 33 [size =\"9577472\"]\n  31 [size=\"143284907\", alpha=\"0.20\", expect_size=\"42985472\"] \n  32 [size=\"78103893\", alpha=\"0.01\", expect_size=\"23431168\"] \n  33 [size=\"35246080\", alpha=\"0.11\", expect_size=\"10573824\"] \n  34 [size=\"43554133\", alpha=\"0.15\", expect_size=\"13066240\"] \n  35 [size=\"18718720\", alpha=\"0.09\", expect_size=\"5615616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106885120\", alpha=\"0.04\", expect_size=\"32065536\"] \n  1 -> 6 [size =\"32065536\"]\n  1 -> 8 [size =\"32065536\"]\n  1 -> 9 [size =\"32065536\"]\n  1 -> 10 [size =\"32065536\"]\n  2 [size=\"166198613\", alpha=\"0.11\", expect_size=\"49859584\"] \n  2 -> 6 [size =\"49859584\"]\n  2 -> 7 [size =\"49859584\"]\n  3 [size=\"30784853\", alpha=\"0.02\", expect_size=\"9235456\"] \n  3 -> 5 [size =\"9235456\"]\n  3 -> 7 [size =\"9235456\"]\n  4 [size=\"119456427\", alpha=\"0.01\", expect_size=\"35836928\"] \n  4 -> 5 [size =\"35836928\"]\n  4 -> 6 [size =\"35836928\"]\n  4 -> 7 [size =\"35836928\"]\n  4 -> 9 [size =\"35836928\"]\n  5 [size=\"49100800\", alpha=\"0.08\", expect_size=\"14730240\"] \n  5 -> 11 [size =\"14730240\"]\n  6 [size=\"99949227\", alpha=\"0.06\", expect_size=\"29984768\"] \n  6 -> 13 [size =\"29984768\"]\n  7 [size=\"163584000\", alpha=\"0.05\", expect_size=\"49075200\"] \n  8 [size=\"90869760\", alpha=\"0.12\", expect_size=\"27260928\"] \n  8 -> 12 [size =\"27260928\"]\n  9 [size=\"60197547\", alpha=\"0.07\", expect_size=\"18059264\"] \n  10 [size=\"48766293\", alpha=\"0.04\", expect_size=\"14629888\"] \n  10 -> 11 [size =\"14629888\"]\n  10 -> 12 [size =\"14629888\"]\n  11 [size=\"25739947\", alpha=\"0.16\", expect_size=\"7721984\"] \n  11 -> 14 [size =\"7721984\"]\n  11 -> 15 [size =\"7721984\"]\n  11 -> 17 [size =\"7721984\"]\n  11 -> 18 [size =\"7721984\"]\n  12 [size=\"57402027\", alpha=\"0.10\", expect_size=\"17220608\"] \n  12 -> 16 [size =\"17220608\"]\n  12 -> 17 [size =\"17220608\"]\n  12 -> 19 [size =\"17220608\"]\n  13 [size=\"146486613\", alpha=\"0.13\", expect_size=\"43945984\"] \n  13 -> 15 [size =\"43945984\"]\n  13 -> 16 [size =\"43945984\"]\n  13 -> 18 [size =\"43945984\"]\n  14 [size=\"159419733\", alpha=\"0.10\", expect_size=\"47825920\"] \n  14 -> 20 [size =\"47825920\"]\n  14 -> 22 [size =\"47825920\"]\n  15 [size=\"163877547\", alpha=\"0.10\", expect_size=\"49163264\"] \n  15 -> 20 [size =\"49163264\"]\n  15 -> 22 [size =\"49163264\"]\n  15 -> 23 [size =\"49163264\"]\n  15 -> 25 [size =\"49163264\"]\n  15 -> 26 [size =\"49163264\"]\n  16 [size=\"72280747\", alpha=\"0.01\", expect_size=\"21684224\"] \n  16 -> 24 [size =\"21684224\"]\n  17 [size=\"118039893\", alpha=\"0.04\", expect_size=\"35411968\"] \n  17 -> 20 [size =\"35411968\"]\n  17 -> 22 [size =\"35411968\"]\n  17 -> 23 [size =\"35411968\"]\n  17 -> 26 [size =\"35411968\"]\n  18 [size=\"159426560\", alpha=\"0.14\", expect_size=\"47827968\"] \n  18 -> 20 [size =\"47827968\"]\n  18 -> 24 [size =\"47827968\"]\n  18 -> 26 [size =\"47827968\"]\n  19 [size=\"96986453\", alpha=\"0.08\", expect_size=\"29095936\"] \n  19 -> 21 [size =\"29095936\"]\n  19 -> 23 [size =\"29095936\"]\n  19 -> 26 [size =\"29095936\"]\n  20 [size=\"150016000\", alpha=\"0.02\", expect_size=\"45004800\"] \n  21 [size=\"26040320\", alpha=\"0.07\", expect_size=\"7812096\"] \n  21 -> 28 [size =\"7812096\"]\n  22 [size=\"153937920\", alpha=\"0.11\", expect_size=\"46181376\"] \n  22 -> 28 [size =\"46181376\"]\n  23 [size=\"75441493\", alpha=\"0.17\", expect_size=\"22632448\"] \n  23 -> 28 [size =\"22632448\"]\n  24 [size=\"17875627\", alpha=\"0.16\", expect_size=\"5362688\"] \n  25 [size=\"99949227\", alpha=\"0.19\", expect_size=\"29984768\"] \n  25 -> 28 [size =\"29984768\"]\n  26 [size=\"21729280\", alpha=\"0.13\", expect_size=\"6518784\"] \n  26 -> 27 [size =\"6518784\"]\n  27 [size=\"29170347\", alpha=\"0.05\", expect_size=\"8751104\"] \n  27 -> 33 [size =\"8751104\"]\n  27 -> 34 [size =\"8751104\"]\n  28 [size=\"63911253\", alpha=\"0.06\", expect_size=\"19173376\"] \n  28 -> 29 [size =\"19173376\"]\n  28 -> 30 [size =\"19173376\"]\n  28 -> 31 [size =\"19173376\"]\n  28 -> 32 [size =\"19173376\"]\n  29 [size=\"170816853\", alpha=\"0.13\", expect_size=\"51245056\"] \n  29 -> 35 [size =\"51245056\"]\n  30 [size=\"72768853\", alpha=\"0.04\", expect_size=\"21830656\"] \n  31 [size=\"85022720\", alpha=\"0.16\", expect_size=\"25506816\"] \n  32 [size=\"139700907\", alpha=\"0.13\", expect_size=\"41910272\"] \n  32 -> 35 [size =\"41910272\"]\n  33 [size=\"70956373\", alpha=\"0.06\", expect_size=\"21286912\"] \n  34 [size=\"49384107\", alpha=\"0.17\", expect_size=\"14815232\"] \n  34 -> 35 [size =\"14815232\"]\n  35 [size=\"19677867\", alpha=\"0.07\", expect_size=\"5903360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96901120\", alpha=\"0.17\", expect_size=\"29070336\"] \n  1 -> 3 [size =\"29070336\"]\n  1 -> 4 [size =\"29070336\"]\n  2 [size=\"106519893\", alpha=\"0.02\", expect_size=\"31955968\"] \n  2 -> 4 [size =\"31955968\"]\n  3 [size=\"126446933\", alpha=\"0.15\", expect_size=\"37934080\"] \n  4 [size=\"23272107\", alpha=\"0.11\", expect_size=\"6981632\"] \n  4 -> 5 [size =\"6981632\"]\n  5 [size=\"93545813\", alpha=\"0.20\", expect_size=\"28063744\"] \n  5 -> 6 [size =\"28063744\"]\n  6 [size=\"43304960\", alpha=\"0.04\", expect_size=\"12991488\"] \n  6 -> 7 [size =\"12991488\"]\n  6 -> 8 [size =\"12991488\"]\n  7 [size=\"164553387\", alpha=\"0.07\", expect_size=\"49366016\"] \n  7 -> 9 [size =\"49366016\"]\n  8 [size=\"18257920\", alpha=\"0.16\", expect_size=\"5477376\"] \n  9 [size=\"46506667\", alpha=\"0.14\", expect_size=\"13952000\"] \n  9 -> 10 [size =\"13952000\"]\n  10 [size=\"22797653\", alpha=\"0.10\", expect_size=\"6839296\"] \n  10 -> 11 [size =\"6839296\"]\n  11 [size=\"65419947\", alpha=\"0.05\", expect_size=\"19625984\"] \n  11 -> 12 [size =\"19625984\"]\n  11 -> 13 [size =\"19625984\"]\n  12 [size=\"42455040\", alpha=\"0.14\", expect_size=\"12736512\"] \n  12 -> 14 [size =\"12736512\"]\n  13 [size=\"58371413\", alpha=\"0.14\", expect_size=\"17511424\"] \n  13 -> 14 [size =\"17511424\"]\n  14 [size=\"173803520\", alpha=\"0.02\", expect_size=\"52141056\"] \n  14 -> 15 [size =\"52141056\"]\n  15 [size=\"100061867\", alpha=\"0.12\", expect_size=\"30018560\"] \n  15 -> 16 [size =\"30018560\"]\n  15 -> 17 [size =\"30018560\"]\n  16 [size=\"96436907\", alpha=\"0.07\", expect_size=\"28931072\"] \n  16 -> 18 [size =\"28931072\"]\n  16 -> 19 [size =\"28931072\"]\n  17 [size=\"127842987\", alpha=\"0.02\", expect_size=\"38352896\"] \n  17 -> 18 [size =\"38352896\"]\n  18 [size=\"29139627\", alpha=\"0.08\", expect_size=\"8741888\"] \n  18 -> 20 [size =\"8741888\"]\n  19 [size=\"158296747\", alpha=\"0.19\", expect_size=\"47489024\"] \n  19 -> 20 [size =\"47489024\"]\n  20 [size=\"107475627\", alpha=\"0.02\", expect_size=\"32242688\"] \n  20 -> 21 [size =\"32242688\"]\n  21 [size=\"29511680\", alpha=\"0.16\", expect_size=\"8853504\"] \n  21 -> 22 [size =\"8853504\"]\n  21 -> 23 [size =\"8853504\"]\n  22 [size=\"70178133\", alpha=\"0.00\", expect_size=\"21053440\"] \n  22 -> 24 [size =\"21053440\"]\n  23 [size=\"24866133\", alpha=\"0.19\", expect_size=\"7459840\"] \n  23 -> 24 [size =\"7459840\"]\n  24 [size=\"138482347\", alpha=\"0.18\", expect_size=\"41544704\"] \n  24 -> 25 [size =\"41544704\"]\n  25 [size=\"155419307\", alpha=\"0.07\", expect_size=\"46625792\"] \n  25 -> 26 [size =\"46625792\"]\n  26 [size=\"90951680\", alpha=\"0.19\", expect_size=\"27285504\"] \n  26 -> 27 [size =\"27285504\"]\n  26 -> 28 [size =\"27285504\"]\n  27 [size=\"145022293\", alpha=\"0.10\", expect_size=\"43506688\"] \n  27 -> 29 [size =\"43506688\"]\n  27 -> 30 [size =\"43506688\"]\n  28 [size=\"158914560\", alpha=\"0.01\", expect_size=\"47674368\"] \n  28 -> 29 [size =\"47674368\"]\n  28 -> 30 [size =\"47674368\"]\n  29 [size=\"62310400\", alpha=\"0.16\", expect_size=\"18693120\"] \n  30 [size=\"55746560\", alpha=\"0.12\", expect_size=\"16723968\"] \n  30 -> 31 [size =\"16723968\"]\n  30 -> 32 [size =\"16723968\"]\n  31 [size=\"74782720\", alpha=\"0.13\", expect_size=\"22434816\"] \n  31 -> 33 [size =\"22434816\"]\n  31 -> 34 [size =\"22434816\"]\n  32 [size=\"41550507\", alpha=\"0.18\", expect_size=\"12465152\"] \n  32 -> 33 [size =\"12465152\"]\n  32 -> 34 [size =\"12465152\"]\n  33 [size=\"45103787\", alpha=\"0.08\", expect_size=\"13531136\"] \n  33 -> 35 [size =\"13531136\"]\n  34 [size=\"37123413\", alpha=\"0.17\", expect_size=\"11137024\"] \n  34 -> 35 [size =\"11137024\"]\n  35 [size=\"23412053\", alpha=\"0.18\", expect_size=\"7023616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115422720\", alpha=\"0.16\", expect_size=\"46169088\"] \n  1 -> 2 [size =\"46169088\"]\n  2 [size=\"120094720\", alpha=\"0.15\", expect_size=\"48037888\"] \n  2 -> 3 [size =\"48037888\"]\n  3 [size=\"31206400\", alpha=\"0.11\", expect_size=\"12482560\"] \n  3 -> 4 [size =\"12482560\"]\n  4 [size=\"123525120\", alpha=\"0.10\", expect_size=\"49410048\"] \n  4 -> 5 [size =\"49410048\"]\n  5 [size=\"102284800\", alpha=\"0.14\", expect_size=\"40913920\"] \n  5 -> 6 [size =\"40913920\"]\n  6 [size=\"65676800\", alpha=\"0.08\", expect_size=\"26270720\"] \n  6 -> 7 [size =\"26270720\"]\n  7 [size=\"94707200\", alpha=\"0.08\", expect_size=\"37882880\"] \n  7 -> 8 [size =\"37882880\"]\n  8 [size=\"121738240\", alpha=\"0.17\", expect_size=\"48695296\"] \n  8 -> 9 [size =\"48695296\"]\n  9 [size=\"22499840\", alpha=\"0.06\", expect_size=\"8999936\"] \n  9 -> 10 [size =\"8999936\"]\n  10 [size=\"74088960\", alpha=\"0.14\", expect_size=\"29635584\"] \n  10 -> 11 [size =\"29635584\"]\n  11 [size=\"69137920\", alpha=\"0.20\", expect_size=\"27655168\"] \n  11 -> 12 [size =\"27655168\"]\n  12 [size=\"43645440\", alpha=\"0.12\", expect_size=\"17458176\"] \n  12 -> 13 [size =\"17458176\"]\n  13 [size=\"130035200\", alpha=\"0.15\", expect_size=\"52014080\"] \n  13 -> 14 [size =\"52014080\"]\n  14 [size=\"75184640\", alpha=\"0.10\", expect_size=\"30073856\"] \n  14 -> 15 [size =\"30073856\"]\n  15 [size=\"18319360\", alpha=\"0.19\", expect_size=\"7327744\"] \n  15 -> 16 [size =\"7327744\"]\n  16 [size=\"99927040\", alpha=\"0.18\", expect_size=\"39970816\"] \n  16 -> 17 [size =\"39970816\"]\n  17 [size=\"29724160\", alpha=\"0.08\", expect_size=\"11889664\"] \n  17 -> 18 [size =\"11889664\"]\n  18 [size=\"75202560\", alpha=\"0.13\", expect_size=\"30081024\"] \n  18 -> 19 [size =\"30081024\"]\n  19 [size=\"58851840\", alpha=\"0.12\", expect_size=\"23540736\"] \n  19 -> 20 [size =\"23540736\"]\n  20 [size=\"95127040\", alpha=\"0.06\", expect_size=\"38050816\"] \n  20 -> 21 [size =\"38050816\"]\n  21 [size=\"60400640\", alpha=\"0.17\", expect_size=\"24160256\"] \n  21 -> 22 [size =\"24160256\"]\n  22 [size=\"59822080\", alpha=\"0.07\", expect_size=\"23928832\"] \n  22 -> 23 [size =\"23928832\"]\n  23 [size=\"128168960\", alpha=\"0.19\", expect_size=\"51267584\"] \n  23 -> 24 [size =\"51267584\"]\n  24 [size=\"100088320\", alpha=\"0.10\", expect_size=\"40035328\"] \n  24 -> 25 [size =\"40035328\"]\n  25 [size=\"41310720\", alpha=\"0.16\", expect_size=\"16524288\"] \n  25 -> 26 [size =\"16524288\"]\n  26 [size=\"35921920\", alpha=\"0.11\", expect_size=\"14368768\"] \n  26 -> 27 [size =\"14368768\"]\n  27 [size=\"24867840\", alpha=\"0.00\", expect_size=\"9947136\"] \n  27 -> 28 [size =\"9947136\"]\n  28 [size=\"69450240\", alpha=\"0.08\", expect_size=\"27780096\"] \n  28 -> 29 [size =\"27780096\"]\n  29 [size=\"25884160\", alpha=\"0.17\", expect_size=\"10353664\"] \n  29 -> 30 [size =\"10353664\"]\n  30 [size=\"99220480\", alpha=\"0.16\", expect_size=\"39688192\"] \n  30 -> 31 [size =\"39688192\"]\n  31 [size=\"18040320\", alpha=\"0.05\", expect_size=\"7216128\"] \n  31 -> 32 [size =\"7216128\"]\n  32 [size=\"120591360\", alpha=\"0.19\", expect_size=\"48236544\"] \n  32 -> 33 [size =\"48236544\"]\n  33 [size=\"42007040\", alpha=\"0.13\", expect_size=\"16802816\"] \n  33 -> 34 [size =\"16802816\"]\n  34 [size=\"36311040\", alpha=\"0.17\", expect_size=\"14524416\"] \n  34 -> 35 [size =\"14524416\"]\n  35 [size=\"95959040\", alpha=\"0.02\", expect_size=\"38383616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74510336\", alpha=\"0.00\", expect_size=\"37255168\"] \n  1 -> 2 [size =\"37255168\"]\n  2 [size=\"86519808\", alpha=\"0.03\", expect_size=\"43259904\"] \n  2 -> 3 [size =\"43259904\"]\n  3 [size=\"64098304\", alpha=\"0.15\", expect_size=\"32049152\"] \n  3 -> 4 [size =\"32049152\"]\n  4 [size=\"52989952\", alpha=\"0.03\", expect_size=\"26494976\"] \n  4 -> 5 [size =\"26494976\"]\n  5 [size=\"69816320\", alpha=\"0.04\", expect_size=\"34908160\"] \n  5 -> 6 [size =\"34908160\"]\n  6 [size=\"23308288\", alpha=\"0.20\", expect_size=\"11654144\"] \n  6 -> 7 [size =\"11654144\"]\n  7 [size=\"84080640\", alpha=\"0.08\", expect_size=\"42040320\"] \n  7 -> 8 [size =\"42040320\"]\n  8 [size=\"100882432\", alpha=\"0.16\", expect_size=\"50441216\"] \n  8 -> 9 [size =\"50441216\"]\n  9 [size=\"37808128\", alpha=\"0.19\", expect_size=\"18904064\"] \n  9 -> 10 [size =\"18904064\"]\n  10 [size=\"68380672\", alpha=\"0.03\", expect_size=\"34190336\"] \n  10 -> 11 [size =\"34190336\"]\n  11 [size=\"19423232\", alpha=\"0.04\", expect_size=\"9711616\"] \n  11 -> 12 [size =\"9711616\"]\n  12 [size=\"21757952\", alpha=\"0.03\", expect_size=\"10878976\"] \n  12 -> 13 [size =\"10878976\"]\n  13 [size=\"34711552\", alpha=\"0.11\", expect_size=\"17355776\"] \n  13 -> 14 [size =\"17355776\"]\n  14 [size=\"104204288\", alpha=\"0.09\", expect_size=\"52102144\"] \n  14 -> 15 [size =\"52102144\"]\n  15 [size=\"22218752\", alpha=\"0.02\", expect_size=\"11109376\"] \n  15 -> 16 [size =\"11109376\"]\n  16 [size=\"39489536\", alpha=\"0.07\", expect_size=\"19744768\"] \n  16 -> 17 [size =\"19744768\"]\n  17 [size=\"38991872\", alpha=\"0.18\", expect_size=\"19495936\"] \n  17 -> 18 [size =\"19495936\"]\n  18 [size=\"78921728\", alpha=\"0.03\", expect_size=\"39460864\"] \n  18 -> 19 [size =\"39460864\"]\n  19 [size=\"57860096\", alpha=\"0.15\", expect_size=\"28930048\"] \n  19 -> 20 [size =\"28930048\"]\n  20 [size=\"52174848\", alpha=\"0.09\", expect_size=\"26087424\"] \n  20 -> 21 [size =\"26087424\"]\n  21 [size=\"67055616\", alpha=\"0.18\", expect_size=\"33527808\"] \n  21 -> 22 [size =\"33527808\"]\n  22 [size=\"86499328\", alpha=\"0.02\", expect_size=\"43249664\"] \n  22 -> 23 [size =\"43249664\"]\n  23 [size=\"101337088\", alpha=\"0.18\", expect_size=\"50668544\"] \n  23 -> 24 [size =\"50668544\"]\n  24 [size=\"56727552\", alpha=\"0.03\", expect_size=\"28363776\"] \n  24 -> 25 [size =\"28363776\"]\n  25 [size=\"97691648\", alpha=\"0.20\", expect_size=\"48845824\"] \n  25 -> 26 [size =\"48845824\"]\n  26 [size=\"10686464\", alpha=\"0.20\", expect_size=\"5343232\"] \n  26 -> 27 [size =\"5343232\"]\n  27 [size=\"44795904\", alpha=\"0.16\", expect_size=\"22397952\"] \n  27 -> 28 [size =\"22397952\"]\n  28 [size=\"35473408\", alpha=\"0.10\", expect_size=\"17736704\"] \n  28 -> 29 [size =\"17736704\"]\n  29 [size=\"48244736\", alpha=\"0.11\", expect_size=\"24122368\"] \n  29 -> 30 [size =\"24122368\"]\n  30 [size=\"22558720\", alpha=\"0.04\", expect_size=\"11279360\"] \n  30 -> 31 [size =\"11279360\"]\n  31 [size=\"66381824\", alpha=\"0.19\", expect_size=\"33190912\"] \n  31 -> 32 [size =\"33190912\"]\n  32 [size=\"54999040\", alpha=\"0.16\", expect_size=\"27499520\"] \n  32 -> 33 [size =\"27499520\"]\n  33 [size=\"64442368\", alpha=\"0.18\", expect_size=\"32221184\"] \n  33 -> 34 [size =\"32221184\"]\n  34 [size=\"53952512\", alpha=\"0.00\", expect_size=\"26976256\"] \n  34 -> 35 [size =\"26976256\"]\n  35 [size=\"66039808\", alpha=\"0.05\", expect_size=\"33019904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159986347\", alpha=\"0.05\", expect_size=\"47995904\"] \n  1 -> 10 [size =\"47995904\"]\n  1 -> 11 [size =\"47995904\"]\n  1 -> 12 [size =\"47995904\"]\n  1 -> 14 [size =\"47995904\"]\n  1 -> 16 [size =\"47995904\"]\n  1 -> 17 [size =\"47995904\"]\n  1 -> 19 [size =\"47995904\"]\n  1 -> 20 [size =\"47995904\"]\n  2 [size=\"52329813\", alpha=\"0.16\", expect_size=\"15698944\"] \n  2 -> 11 [size =\"15698944\"]\n  2 -> 12 [size =\"15698944\"]\n  2 -> 14 [size =\"15698944\"]\n  2 -> 14 [size =\"15698944\"]\n  2 -> 19 [size =\"15698944\"]\n  2 -> 20 [size =\"15698944\"]\n  3 [size=\"141154987\", alpha=\"0.08\", expect_size=\"42346496\"] \n  3 -> 10 [size =\"42346496\"]\n  3 -> 14 [size =\"42346496\"]\n  3 -> 17 [size =\"42346496\"]\n  3 -> 19 [size =\"42346496\"]\n  3 -> 20 [size =\"42346496\"]\n  3 -> 20 [size =\"42346496\"]\n  4 [size=\"173451947\", alpha=\"0.16\", expect_size=\"52035584\"] \n  4 -> 10 [size =\"52035584\"]\n  4 -> 13 [size =\"52035584\"]\n  4 -> 14 [size =\"52035584\"]\n  4 -> 15 [size =\"52035584\"]\n  4 -> 17 [size =\"52035584\"]\n  4 -> 19 [size =\"52035584\"]\n  4 -> 20 [size =\"52035584\"]\n  4 -> 21 [size =\"52035584\"]\n  5 [size=\"25070933\", alpha=\"0.19\", expect_size=\"7521280\"] \n  5 -> 10 [size =\"7521280\"]\n  5 -> 12 [size =\"7521280\"]\n  5 -> 15 [size =\"7521280\"]\n  5 -> 19 [size =\"7521280\"]\n  5 -> 20 [size =\"7521280\"]\n  6 [size=\"70758400\", alpha=\"0.09\", expect_size=\"21227520\"] \n  6 -> 10 [size =\"21227520\"]\n  6 -> 11 [size =\"21227520\"]\n  6 -> 13 [size =\"21227520\"]\n  6 -> 15 [size =\"21227520\"]\n  6 -> 17 [size =\"21227520\"]\n  6 -> 18 [size =\"21227520\"]\n  6 -> 19 [size =\"21227520\"]\n  7 [size=\"26716160\", alpha=\"0.08\", expect_size=\"8014848\"] \n  7 -> 10 [size =\"8014848\"]\n  7 -> 11 [size =\"8014848\"]\n  7 -> 12 [size =\"8014848\"]\n  7 -> 15 [size =\"8014848\"]\n  7 -> 18 [size =\"8014848\"]\n  7 -> 20 [size =\"8014848\"]\n  8 [size=\"40635733\", alpha=\"0.05\", expect_size=\"12190720\"] \n  8 -> 12 [size =\"12190720\"]\n  8 -> 14 [size =\"12190720\"]\n  8 -> 15 [size =\"12190720\"]\n  8 -> 17 [size =\"12190720\"]\n  8 -> 19 [size =\"12190720\"]\n  9 [size=\"22022827\", alpha=\"0.18\", expect_size=\"6606848\"] \n  9 -> 12 [size =\"6606848\"]\n  9 -> 13 [size =\"6606848\"]\n  9 -> 14 [size =\"6606848\"]\n  9 -> 17 [size =\"6606848\"]\n  9 -> 19 [size =\"6606848\"]\n  9 -> 20 [size =\"6606848\"]\n  9 -> 21 [size =\"6606848\"]\n  10 [size=\"55193600\", alpha=\"0.11\", expect_size=\"16558080\"] \n  10 -> 23 [size =\"16558080\"]\n  10 -> 33 [size =\"16558080\"]\n  10 -> 34 [size =\"16558080\"]\n  11 [size=\"102314667\", alpha=\"0.07\", expect_size=\"30694400\"] \n  11 -> 22 [size =\"30694400\"]\n  11 -> 23 [size =\"30694400\"]\n  11 -> 27 [size =\"30694400\"]\n  11 -> 29 [size =\"30694400\"]\n  11 -> 34 [size =\"30694400\"]\n  12 [size=\"144462507\", alpha=\"0.17\", expect_size=\"43338752\"] \n  12 -> 22 [size =\"43338752\"]\n  12 -> 23 [size =\"43338752\"]\n  12 -> 24 [size =\"43338752\"]\n  12 -> 25 [size =\"43338752\"]\n  12 -> 26 [size =\"43338752\"]\n  12 -> 27 [size =\"43338752\"]\n  12 -> 28 [size =\"43338752\"]\n  12 -> 32 [size =\"43338752\"]\n  13 [size=\"110602240\", alpha=\"0.12\", expect_size=\"33180672\"] \n  13 -> 22 [size =\"33180672\"]\n  13 -> 30 [size =\"33180672\"]\n  13 -> 31 [size =\"33180672\"]\n  13 -> 32 [size =\"33180672\"]\n  14 [size=\"174318933\", alpha=\"0.13\", expect_size=\"52295680\"] \n  14 -> 22 [size =\"52295680\"]\n  14 -> 23 [size =\"52295680\"]\n  14 -> 28 [size =\"52295680\"]\n  14 -> 33 [size =\"52295680\"]\n  15 [size=\"145715200\", alpha=\"0.08\", expect_size=\"43714560\"] \n  15 -> 22 [size =\"43714560\"]\n  15 -> 23 [size =\"43714560\"]\n  15 -> 28 [size =\"43714560\"]\n  15 -> 31 [size =\"43714560\"]\n  15 -> 33 [size =\"43714560\"]\n  16 [size=\"136765440\", alpha=\"0.14\", expect_size=\"41029632\"] \n  16 -> 22 [size =\"41029632\"]\n  16 -> 23 [size =\"41029632\"]\n  16 -> 25 [size =\"41029632\"]\n  16 -> 27 [size =\"41029632\"]\n  16 -> 29 [size =\"41029632\"]\n  16 -> 34 [size =\"41029632\"]\n  17 [size=\"46496427\", alpha=\"0.04\", expect_size=\"13948928\"] \n  17 -> 23 [size =\"13948928\"]\n  17 -> 27 [size =\"13948928\"]\n  18 [size=\"108602027\", alpha=\"0.17\", expect_size=\"32580608\"] \n  18 -> 23 [size =\"32580608\"]\n  18 -> 26 [size =\"32580608\"]\n  18 -> 29 [size =\"32580608\"]\n  18 -> 30 [size =\"32580608\"]\n  18 -> 33 [size =\"32580608\"]\n  18 -> 34 [size =\"32580608\"]\n  19 [size=\"148480000\", alpha=\"0.17\", expect_size=\"44544000\"] \n  19 -> 23 [size =\"44544000\"]\n  19 -> 25 [size =\"44544000\"]\n  19 -> 27 [size =\"44544000\"]\n  19 -> 28 [size =\"44544000\"]\n  19 -> 32 [size =\"44544000\"]\n  19 -> 33 [size =\"44544000\"]\n  20 [size=\"133662720\", alpha=\"0.09\", expect_size=\"40098816\"] \n  20 -> 23 [size =\"40098816\"]\n  20 -> 25 [size =\"40098816\"]\n  20 -> 26 [size =\"40098816\"]\n  20 -> 28 [size =\"40098816\"]\n  20 -> 29 [size =\"40098816\"]\n  20 -> 34 [size =\"40098816\"]\n  21 [size=\"65785173\", alpha=\"0.19\", expect_size=\"19735552\"] \n  21 -> 23 [size =\"19735552\"]\n  21 -> 26 [size =\"19735552\"]\n  21 -> 26 [size =\"19735552\"]\n  21 -> 27 [size =\"19735552\"]\n  21 -> 28 [size =\"19735552\"]\n  21 -> 34 [size =\"19735552\"]\n  22 [size=\"119804587\", alpha=\"0.14\", expect_size=\"35941376\"] \n  23 [size=\"97942187\", alpha=\"0.05\", expect_size=\"29382656\"] \n  24 [size=\"36321280\", alpha=\"0.15\", expect_size=\"10896384\"] \n  25 [size=\"136011093\", alpha=\"0.07\", expect_size=\"40803328\"] \n  26 [size=\"42656427\", alpha=\"0.05\", expect_size=\"12796928\"] \n  26 -> 35 [size =\"12796928\"]\n  27 [size=\"152620373\", alpha=\"0.04\", expect_size=\"45786112\"] \n  28 [size=\"28078080\", alpha=\"0.07\", expect_size=\"8423424\"] \n  29 [size=\"159365120\", alpha=\"0.10\", expect_size=\"47809536\"] \n  30 [size=\"133567147\", alpha=\"0.17\", expect_size=\"40070144\"] \n  31 [size=\"47418027\", alpha=\"0.16\", expect_size=\"14225408\"] \n  32 [size=\"43431253\", alpha=\"0.10\", expect_size=\"13029376\"] \n  33 [size=\"156456960\", alpha=\"0.17\", expect_size=\"46937088\"] \n  34 [size=\"38321493\", alpha=\"0.03\", expect_size=\"11496448\"] \n  35 [size=\"159573333\", alpha=\"0.06\", expect_size=\"47872000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51660800\", alpha=\"0.01\", expect_size=\"20664320\"] \n  1 -> 2 [size =\"20664320\"]\n  2 [size=\"88046080\", alpha=\"0.10\", expect_size=\"35218432\"] \n  2 -> 3 [size =\"35218432\"]\n  3 [size=\"64624640\", alpha=\"0.14\", expect_size=\"25849856\"] \n  3 -> 4 [size =\"25849856\"]\n  4 [size=\"16343040\", alpha=\"0.09\", expect_size=\"6537216\"] \n  4 -> 5 [size =\"6537216\"]\n  5 [size=\"123235840\", alpha=\"0.05\", expect_size=\"49294336\"] \n  5 -> 6 [size =\"49294336\"]\n  6 [size=\"23682560\", alpha=\"0.06\", expect_size=\"9473024\"] \n  6 -> 7 [size =\"9473024\"]\n  7 [size=\"77568000\", alpha=\"0.13\", expect_size=\"31027200\"] \n  7 -> 8 [size =\"31027200\"]\n  8 [size=\"88988160\", alpha=\"0.05\", expect_size=\"35595264\"] \n  8 -> 9 [size =\"35595264\"]\n  9 [size=\"112954880\", alpha=\"0.18\", expect_size=\"45181952\"] \n  9 -> 10 [size =\"45181952\"]\n  10 [size=\"69143040\", alpha=\"0.06\", expect_size=\"27657216\"] \n  10 -> 11 [size =\"27657216\"]\n  11 [size=\"17920000\", alpha=\"0.08\", expect_size=\"7168000\"] \n  11 -> 12 [size =\"7168000\"]\n  12 [size=\"24122880\", alpha=\"0.12\", expect_size=\"9649152\"] \n  12 -> 13 [size =\"9649152\"]\n  13 [size=\"83438080\", alpha=\"0.18\", expect_size=\"33375232\"] \n  13 -> 14 [size =\"33375232\"]\n  14 [size=\"48747520\", alpha=\"0.04\", expect_size=\"19499008\"] \n  14 -> 15 [size =\"19499008\"]\n  15 [size=\"100390400\", alpha=\"0.06\", expect_size=\"40156160\"] \n  15 -> 16 [size =\"40156160\"]\n  16 [size=\"13186560\", alpha=\"0.16\", expect_size=\"5274624\"] \n  16 -> 17 [size =\"5274624\"]\n  17 [size=\"47104000\", alpha=\"0.12\", expect_size=\"18841600\"] \n  17 -> 18 [size =\"18841600\"]\n  18 [size=\"121681920\", alpha=\"0.08\", expect_size=\"48672768\"] \n  18 -> 19 [size =\"48672768\"]\n  19 [size=\"35048960\", alpha=\"0.16\", expect_size=\"14019584\"] \n  19 -> 20 [size =\"14019584\"]\n  20 [size=\"22080000\", alpha=\"0.05\", expect_size=\"8832000\"] \n  20 -> 21 [size =\"8832000\"]\n  21 [size=\"55080960\", alpha=\"0.01\", expect_size=\"22032384\"] \n  21 -> 22 [size =\"22032384\"]\n  22 [size=\"100247040\", alpha=\"0.10\", expect_size=\"40098816\"] \n  22 -> 23 [size =\"40098816\"]\n  23 [size=\"54325760\", alpha=\"0.08\", expect_size=\"21730304\"] \n  23 -> 24 [size =\"21730304\"]\n  24 [size=\"43125760\", alpha=\"0.06\", expect_size=\"17250304\"] \n  24 -> 25 [size =\"17250304\"]\n  25 [size=\"67056640\", alpha=\"0.02\", expect_size=\"26822656\"] \n  25 -> 26 [size =\"26822656\"]\n  26 [size=\"101923840\", alpha=\"0.01\", expect_size=\"40769536\"] \n  26 -> 27 [size =\"40769536\"]\n  27 [size=\"80471040\", alpha=\"0.10\", expect_size=\"32188416\"] \n  27 -> 28 [size =\"32188416\"]\n  28 [size=\"31301120\", alpha=\"0.12\", expect_size=\"12520448\"] \n  28 -> 29 [size =\"12520448\"]\n  29 [size=\"76574720\", alpha=\"0.11\", expect_size=\"30629888\"] \n  29 -> 30 [size =\"30629888\"]\n  30 [size=\"53091840\", alpha=\"0.00\", expect_size=\"21236736\"] \n  30 -> 31 [size =\"21236736\"]\n  31 [size=\"85363200\", alpha=\"0.10\", expect_size=\"34145280\"] \n  31 -> 32 [size =\"34145280\"]\n  32 [size=\"93972480\", alpha=\"0.01\", expect_size=\"37588992\"] \n  32 -> 33 [size =\"37588992\"]\n  33 [size=\"35896320\", alpha=\"0.04\", expect_size=\"14358528\"] \n  33 -> 34 [size =\"14358528\"]\n  34 [size=\"80619520\", alpha=\"0.14\", expect_size=\"32247808\"] \n  34 -> 35 [size =\"32247808\"]\n  35 [size=\"113415680\", alpha=\"0.18\", expect_size=\"45366272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115819520\", alpha=\"0.03\", expect_size=\"46327808\"] \n  1 -> 31 [size =\"46327808\"]\n  1 -> 32 [size =\"46327808\"]\n  1 -> 33 [size =\"46327808\"]\n  1 -> 35 [size =\"46327808\"]\n  2 [size=\"90398720\", alpha=\"0.18\", expect_size=\"36159488\"] \n  2 -> 32 [size =\"36159488\"]\n  2 -> 35 [size =\"36159488\"]\n  3 [size=\"99893760\", alpha=\"0.06\", expect_size=\"39957504\"] \n  3 -> 32 [size =\"39957504\"]\n  3 -> 33 [size =\"39957504\"]\n  4 [size=\"59128320\", alpha=\"0.14\", expect_size=\"23651328\"] \n  4 -> 29 [size =\"23651328\"]\n  4 -> 31 [size =\"23651328\"]\n  4 -> 32 [size =\"23651328\"]\n  4 -> 33 [size =\"23651328\"]\n  5 [size=\"129446400\", alpha=\"0.15\", expect_size=\"51778560\"] \n  5 -> 28 [size =\"51778560\"]\n  5 -> 29 [size =\"51778560\"]\n  6 [size=\"110146560\", alpha=\"0.20\", expect_size=\"44058624\"] \n  6 -> 28 [size =\"44058624\"]\n  6 -> 35 [size =\"44058624\"]\n  7 [size=\"80732160\", alpha=\"0.17\", expect_size=\"32292864\"] \n  7 -> 28 [size =\"32292864\"]\n  7 -> 35 [size =\"32292864\"]\n  8 [size=\"129024000\", alpha=\"0.01\", expect_size=\"51609600\"] \n  8 -> 28 [size =\"51609600\"]\n  8 -> 32 [size =\"51609600\"]\n  8 -> 33 [size =\"51609600\"]\n  9 [size=\"66444800\", alpha=\"0.08\", expect_size=\"26577920\"] \n  9 -> 28 [size =\"26577920\"]\n  9 -> 29 [size =\"26577920\"]\n  9 -> 33 [size =\"26577920\"]\n  9 -> 35 [size =\"26577920\"]\n  10 [size=\"100416000\", alpha=\"0.00\", expect_size=\"40166400\"] \n  10 -> 28 [size =\"40166400\"]\n  10 -> 31 [size =\"40166400\"]\n  11 [size=\"13539840\", alpha=\"0.02\", expect_size=\"5415936\"] \n  11 -> 29 [size =\"5415936\"]\n  12 [size=\"29777920\", alpha=\"0.06\", expect_size=\"11911168\"] \n  12 -> 34 [size =\"11911168\"]\n  13 [size=\"17541120\", alpha=\"0.19\", expect_size=\"7016448\"] \n  13 -> 32 [size =\"7016448\"]\n  14 [size=\"55022080\", alpha=\"0.19\", expect_size=\"22008832\"] \n  14 -> 31 [size =\"22008832\"]\n  14 -> 32 [size =\"22008832\"]\n  14 -> 35 [size =\"22008832\"]\n  15 [size=\"18580480\", alpha=\"0.02\", expect_size=\"7432192\"] \n  15 -> 30 [size =\"7432192\"]\n  15 -> 32 [size =\"7432192\"]\n  15 -> 35 [size =\"7432192\"]\n  16 [size=\"108902400\", alpha=\"0.06\", expect_size=\"43560960\"] \n  16 -> 28 [size =\"43560960\"]\n  17 [size=\"106012160\", alpha=\"0.19\", expect_size=\"42404864\"] \n  17 -> 28 [size =\"42404864\"]\n  17 -> 29 [size =\"42404864\"]\n  17 -> 33 [size =\"42404864\"]\n  18 [size=\"89208320\", alpha=\"0.05\", expect_size=\"35683328\"] \n  18 -> 28 [size =\"35683328\"]\n  18 -> 31 [size =\"35683328\"]\n  19 [size=\"95098880\", alpha=\"0.15\", expect_size=\"38039552\"] \n  19 -> 32 [size =\"38039552\"]\n  19 -> 33 [size =\"38039552\"]\n  20 [size=\"22200320\", alpha=\"0.12\", expect_size=\"8880128\"] \n  20 -> 28 [size =\"8880128\"]\n  20 -> 29 [size =\"8880128\"]\n  20 -> 31 [size =\"8880128\"]\n  20 -> 32 [size =\"8880128\"]\n  21 [size=\"24975360\", alpha=\"0.07\", expect_size=\"9990144\"] \n  21 -> 28 [size =\"9990144\"]\n  21 -> 29 [size =\"9990144\"]\n  21 -> 32 [size =\"9990144\"]\n  21 -> 32 [size =\"9990144\"]\n  21 -> 35 [size =\"9990144\"]\n  22 [size=\"36794880\", alpha=\"0.15\", expect_size=\"14717952\"] \n  22 -> 31 [size =\"14717952\"]\n  22 -> 32 [size =\"14717952\"]\n  22 -> 32 [size =\"14717952\"]\n  23 [size=\"73169920\", alpha=\"0.17\", expect_size=\"29267968\"] \n  23 -> 28 [size =\"29267968\"]\n  23 -> 29 [size =\"29267968\"]\n  23 -> 31 [size =\"29267968\"]\n  23 -> 32 [size =\"29267968\"]\n  23 -> 33 [size =\"29267968\"]\n  23 -> 34 [size =\"29267968\"]\n  23 -> 35 [size =\"29267968\"]\n  24 [size=\"64596480\", alpha=\"0.07\", expect_size=\"25838592\"] \n  24 -> 34 [size =\"25838592\"]\n  25 [size=\"56640000\", alpha=\"0.17\", expect_size=\"22656000\"] \n  26 [size=\"66467840\", alpha=\"0.03\", expect_size=\"26587136\"] \n  27 [size=\"100986880\", alpha=\"0.01\", expect_size=\"40394752\"] \n  27 -> 35 [size =\"40394752\"]\n  28 [size=\"92497920\", alpha=\"0.19\", expect_size=\"36999168\"] \n  29 [size=\"119915520\", alpha=\"0.05\", expect_size=\"47966208\"] \n  30 [size=\"91320320\", alpha=\"0.07\", expect_size=\"36528128\"] \n  31 [size=\"45928960\", alpha=\"0.08\", expect_size=\"18371584\"] \n  32 [size=\"86451200\", alpha=\"0.12\", expect_size=\"34580480\"] \n  33 [size=\"54256640\", alpha=\"0.17\", expect_size=\"21702656\"] \n  34 [size=\"36131840\", alpha=\"0.09\", expect_size=\"14452736\"] \n  35 [size=\"78097920\", alpha=\"0.02\", expect_size=\"31239168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53805056\", alpha=\"0.11\", expect_size=\"26902528\"] \n  1 -> 2 [size =\"26902528\"]\n  2 [size=\"99633152\", alpha=\"0.17\", expect_size=\"49816576\"] \n  2 -> 3 [size =\"49816576\"]\n  3 [size=\"36958208\", alpha=\"0.03\", expect_size=\"18479104\"] \n  3 -> 4 [size =\"18479104\"]\n  4 [size=\"17494016\", alpha=\"0.15\", expect_size=\"8747008\"] \n  4 -> 5 [size =\"8747008\"]\n  5 [size=\"29562880\", alpha=\"0.17\", expect_size=\"14781440\"] \n  5 -> 6 [size =\"14781440\"]\n  6 [size=\"10508288\", alpha=\"0.11\", expect_size=\"5254144\"] \n  6 -> 7 [size =\"5254144\"]\n  7 [size=\"82421760\", alpha=\"0.07\", expect_size=\"41210880\"] \n  7 -> 8 [size =\"41210880\"]\n  8 [size=\"35919872\", alpha=\"0.05\", expect_size=\"17959936\"] \n  8 -> 9 [size =\"17959936\"]\n  9 [size=\"89300992\", alpha=\"0.17\", expect_size=\"44650496\"] \n  9 -> 10 [size =\"44650496\"]\n  10 [size=\"34914304\", alpha=\"0.08\", expect_size=\"17457152\"] \n  10 -> 11 [size =\"17457152\"]\n  11 [size=\"95336448\", alpha=\"0.11\", expect_size=\"47668224\"] \n  11 -> 12 [size =\"47668224\"]\n  12 [size=\"54773760\", alpha=\"0.11\", expect_size=\"27386880\"] \n  12 -> 13 [size =\"27386880\"]\n  13 [size=\"41379840\", alpha=\"0.06\", expect_size=\"20689920\"] \n  13 -> 14 [size =\"20689920\"]\n  14 [size=\"56989696\", alpha=\"0.09\", expect_size=\"28494848\"] \n  14 -> 15 [size =\"28494848\"]\n  15 [size=\"31967232\", alpha=\"0.10\", expect_size=\"15983616\"] \n  15 -> 16 [size =\"15983616\"]\n  16 [size=\"15917056\", alpha=\"0.05\", expect_size=\"7958528\"] \n  16 -> 17 [size =\"7958528\"]\n  17 [size=\"69986304\", alpha=\"0.05\", expect_size=\"34993152\"] \n  17 -> 18 [size =\"34993152\"]\n  18 [size=\"101648384\", alpha=\"0.02\", expect_size=\"50824192\"] \n  18 -> 19 [size =\"50824192\"]\n  19 [size=\"30902272\", alpha=\"0.06\", expect_size=\"15451136\"] \n  19 -> 20 [size =\"15451136\"]\n  20 [size=\"15636480\", alpha=\"0.19\", expect_size=\"7818240\"] \n  20 -> 21 [size =\"7818240\"]\n  21 [size=\"53534720\", alpha=\"0.01\", expect_size=\"26767360\"] \n  21 -> 22 [size =\"26767360\"]\n  22 [size=\"12109824\", alpha=\"0.03\", expect_size=\"6054912\"] \n  22 -> 23 [size =\"6054912\"]\n  23 [size=\"65556480\", alpha=\"0.10\", expect_size=\"32778240\"] \n  23 -> 24 [size =\"32778240\"]\n  24 [size=\"92405760\", alpha=\"0.18\", expect_size=\"46202880\"] \n  24 -> 25 [size =\"46202880\"]\n  25 [size=\"42467328\", alpha=\"0.11\", expect_size=\"21233664\"] \n  25 -> 26 [size =\"21233664\"]\n  26 [size=\"90294272\", alpha=\"0.03\", expect_size=\"45147136\"] \n  26 -> 27 [size =\"45147136\"]\n  27 [size=\"20359168\", alpha=\"0.11\", expect_size=\"10179584\"] \n  27 -> 28 [size =\"10179584\"]\n  28 [size=\"42424320\", alpha=\"0.04\", expect_size=\"21212160\"] \n  28 -> 29 [size =\"21212160\"]\n  29 [size=\"49770496\", alpha=\"0.14\", expect_size=\"24885248\"] \n  29 -> 30 [size =\"24885248\"]\n  30 [size=\"76822528\", alpha=\"0.09\", expect_size=\"38411264\"] \n  30 -> 31 [size =\"38411264\"]\n  31 [size=\"72048640\", alpha=\"0.02\", expect_size=\"36024320\"] \n  31 -> 32 [size =\"36024320\"]\n  32 [size=\"78770176\", alpha=\"0.04\", expect_size=\"39385088\"] \n  32 -> 33 [size =\"39385088\"]\n  33 [size=\"91762688\", alpha=\"0.13\", expect_size=\"45881344\"] \n  33 -> 34 [size =\"45881344\"]\n  34 [size=\"43126784\", alpha=\"0.12\", expect_size=\"21563392\"] \n  34 -> 35 [size =\"21563392\"]\n  35 [size=\"34244608\", alpha=\"0.15\", expect_size=\"17122304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92557312\", alpha=\"0.03\", expect_size=\"46278656\"] \n  1 -> 12 [size =\"46278656\"]\n  1 -> 17 [size =\"46278656\"]\n  1 -> 18 [size =\"46278656\"]\n  1 -> 19 [size =\"46278656\"]\n  2 [size=\"64425984\", alpha=\"0.09\", expect_size=\"32212992\"] \n  2 -> 18 [size =\"32212992\"]\n  3 [size=\"90703872\", alpha=\"0.12\", expect_size=\"45351936\"] \n  3 -> 10 [size =\"45351936\"]\n  3 -> 12 [size =\"45351936\"]\n  3 -> 13 [size =\"45351936\"]\n  3 -> 14 [size =\"45351936\"]\n  3 -> 17 [size =\"45351936\"]\n  3 -> 18 [size =\"45351936\"]\n  3 -> 19 [size =\"45351936\"]\n  4 [size=\"47450112\", alpha=\"0.20\", expect_size=\"23725056\"] \n  4 -> 12 [size =\"23725056\"]\n  4 -> 14 [size =\"23725056\"]\n  4 -> 17 [size =\"23725056\"]\n  4 -> 18 [size =\"23725056\"]\n  4 -> 19 [size =\"23725056\"]\n  5 [size=\"56213504\", alpha=\"0.09\", expect_size=\"28106752\"] \n  5 -> 11 [size =\"28106752\"]\n  5 -> 12 [size =\"28106752\"]\n  5 -> 14 [size =\"28106752\"]\n  5 -> 15 [size =\"28106752\"]\n  5 -> 18 [size =\"28106752\"]\n  6 [size=\"21254144\", alpha=\"0.07\", expect_size=\"10627072\"] \n  6 -> 12 [size =\"10627072\"]\n  6 -> 14 [size =\"10627072\"]\n  6 -> 16 [size =\"10627072\"]\n  7 [size=\"25458688\", alpha=\"0.04\", expect_size=\"12729344\"] \n  7 -> 9 [size =\"12729344\"]\n  7 -> 16 [size =\"12729344\"]\n  7 -> 16 [size =\"12729344\"]\n  8 [size=\"53454848\", alpha=\"0.16\", expect_size=\"26727424\"] \n  8 -> 9 [size =\"26727424\"]\n  8 -> 11 [size =\"26727424\"]\n  8 -> 16 [size =\"26727424\"]\n  8 -> 17 [size =\"26727424\"]\n  9 [size=\"80162816\", alpha=\"0.16\", expect_size=\"40081408\"] \n  9 -> 27 [size =\"40081408\"]\n  10 [size=\"87005184\", alpha=\"0.18\", expect_size=\"43502592\"] \n  10 -> 20 [size =\"43502592\"]\n  10 -> 21 [size =\"43502592\"]\n  10 -> 24 [size =\"43502592\"]\n  11 [size=\"26052608\", alpha=\"0.18\", expect_size=\"13026304\"] \n  11 -> 20 [size =\"13026304\"]\n  11 -> 24 [size =\"13026304\"]\n  11 -> 24 [size =\"13026304\"]\n  12 [size=\"40085504\", alpha=\"0.17\", expect_size=\"20042752\"] \n  12 -> 20 [size =\"20042752\"]\n  12 -> 22 [size =\"20042752\"]\n  12 -> 23 [size =\"20042752\"]\n  12 -> 25 [size =\"20042752\"]\n  12 -> 26 [size =\"20042752\"]\n  12 -> 27 [size =\"20042752\"]\n  13 [size=\"82872320\", alpha=\"0.08\", expect_size=\"41436160\"] \n  13 -> 23 [size =\"41436160\"]\n  13 -> 24 [size =\"41436160\"]\n  13 -> 25 [size =\"41436160\"]\n  13 -> 27 [size =\"41436160\"]\n  14 [size=\"45629440\", alpha=\"0.17\", expect_size=\"22814720\"] \n  14 -> 22 [size =\"22814720\"]\n  14 -> 27 [size =\"22814720\"]\n  15 [size=\"44040192\", alpha=\"0.14\", expect_size=\"22020096\"] \n  15 -> 22 [size =\"22020096\"]\n  15 -> 24 [size =\"22020096\"]\n  16 [size=\"88862720\", alpha=\"0.01\", expect_size=\"44431360\"] \n  16 -> 20 [size =\"44431360\"]\n  16 -> 23 [size =\"44431360\"]\n  17 [size=\"26918912\", alpha=\"0.10\", expect_size=\"13459456\"] \n  17 -> 20 [size =\"13459456\"]\n  17 -> 23 [size =\"13459456\"]\n  17 -> 27 [size =\"13459456\"]\n  18 [size=\"46956544\", alpha=\"0.06\", expect_size=\"23478272\"] \n  18 -> 23 [size =\"23478272\"]\n  18 -> 23 [size =\"23478272\"]\n  18 -> 24 [size =\"23478272\"]\n  18 -> 25 [size =\"23478272\"]\n  19 [size=\"27559936\", alpha=\"0.06\", expect_size=\"13779968\"] \n  19 -> 21 [size =\"13779968\"]\n  19 -> 23 [size =\"13779968\"]\n  20 [size=\"103636992\", alpha=\"0.13\", expect_size=\"51818496\"] \n  20 -> 28 [size =\"51818496\"]\n  20 -> 29 [size =\"51818496\"]\n  20 -> 30 [size =\"51818496\"]\n  20 -> 32 [size =\"51818496\"]\n  21 [size=\"92680192\", alpha=\"0.18\", expect_size=\"46340096\"] \n  21 -> 32 [size =\"46340096\"]\n  22 [size=\"84951040\", alpha=\"0.15\", expect_size=\"42475520\"] \n  22 -> 32 [size =\"42475520\"]\n  22 -> 35 [size =\"42475520\"]\n  23 [size=\"72732672\", alpha=\"0.09\", expect_size=\"36366336\"] \n  23 -> 28 [size =\"36366336\"]\n  23 -> 31 [size =\"36366336\"]\n  23 -> 34 [size =\"36366336\"]\n  24 [size=\"16295936\", alpha=\"0.10\", expect_size=\"8147968\"] \n  24 -> 28 [size =\"8147968\"]\n  24 -> 31 [size =\"8147968\"]\n  24 -> 32 [size =\"8147968\"]\n  24 -> 33 [size =\"8147968\"]\n  24 -> 34 [size =\"8147968\"]\n  25 [size=\"96233472\", alpha=\"0.01\", expect_size=\"48116736\"] \n  25 -> 28 [size =\"48116736\"]\n  25 -> 30 [size =\"48116736\"]\n  25 -> 34 [size =\"48116736\"]\n  26 [size=\"69586944\", alpha=\"0.15\", expect_size=\"34793472\"] \n  26 -> 28 [size =\"34793472\"]\n  26 -> 30 [size =\"34793472\"]\n  26 -> 34 [size =\"34793472\"]\n  26 -> 35 [size =\"34793472\"]\n  27 [size=\"76148736\", alpha=\"0.11\", expect_size=\"38074368\"] \n  27 -> 31 [size =\"38074368\"]\n  28 [size=\"31193088\", alpha=\"0.17\", expect_size=\"15596544\"] \n  29 [size=\"59447296\", alpha=\"0.17\", expect_size=\"29723648\"] \n  30 [size=\"85534720\", alpha=\"0.14\", expect_size=\"42767360\"] \n  31 [size=\"53997568\", alpha=\"0.14\", expect_size=\"26998784\"] \n  32 [size=\"46909440\", alpha=\"0.00\", expect_size=\"23454720\"] \n  33 [size=\"23842816\", alpha=\"0.02\", expect_size=\"11921408\"] \n  34 [size=\"65013760\", alpha=\"0.11\", expect_size=\"32506880\"] \n  35 [size=\"18642944\", alpha=\"0.07\", expect_size=\"9321472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22700032\", alpha=\"0.05\", expect_size=\"11350016\"] \n  1 -> 9 [size =\"11350016\"]\n  2 [size=\"10625024\", alpha=\"0.18\", expect_size=\"5312512\"] \n  2 -> 7 [size =\"5312512\"]\n  2 -> 8 [size =\"5312512\"]\n  2 -> 10 [size =\"5312512\"]\n  2 -> 11 [size =\"5312512\"]\n  3 [size=\"82468864\", alpha=\"0.15\", expect_size=\"41234432\"] \n  3 -> 9 [size =\"41234432\"]\n  3 -> 11 [size =\"41234432\"]\n  4 [size=\"27641856\", alpha=\"0.02\", expect_size=\"13820928\"] \n  4 -> 11 [size =\"13820928\"]\n  5 [size=\"13459456\", alpha=\"0.13\", expect_size=\"6729728\"] \n  5 -> 8 [size =\"6729728\"]\n  5 -> 9 [size =\"6729728\"]\n  5 -> 10 [size =\"6729728\"]\n  6 [size=\"56741888\", alpha=\"0.15\", expect_size=\"28370944\"] \n  7 [size=\"52727808\", alpha=\"0.07\", expect_size=\"26363904\"] \n  8 [size=\"87267328\", alpha=\"0.07\", expect_size=\"43633664\"] \n  8 -> 12 [size =\"43633664\"]\n  9 [size=\"70584320\", alpha=\"0.14\", expect_size=\"35292160\"] \n  9 -> 12 [size =\"35292160\"]\n  9 -> 13 [size =\"35292160\"]\n  9 -> 14 [size =\"35292160\"]\n  10 [size=\"43958272\", alpha=\"0.09\", expect_size=\"21979136\"] \n  10 -> 15 [size =\"21979136\"]\n  10 -> 16 [size =\"21979136\"]\n  11 [size=\"46555136\", alpha=\"0.01\", expect_size=\"23277568\"] \n  12 [size=\"71675904\", alpha=\"0.05\", expect_size=\"35837952\"] \n  13 [size=\"62296064\", alpha=\"0.15\", expect_size=\"31148032\"] \n  13 -> 17 [size =\"31148032\"]\n  13 -> 18 [size =\"31148032\"]\n  14 [size=\"38670336\", alpha=\"0.08\", expect_size=\"19335168\"] \n  14 -> 17 [size =\"19335168\"]\n  14 -> 19 [size =\"19335168\"]\n  14 -> 20 [size =\"19335168\"]\n  15 [size=\"48267264\", alpha=\"0.04\", expect_size=\"24133632\"] \n  15 -> 20 [size =\"24133632\"]\n  16 [size=\"15308800\", alpha=\"0.05\", expect_size=\"7654400\"] \n  16 -> 18 [size =\"7654400\"]\n  16 -> 19 [size =\"7654400\"]\n  16 -> 20 [size =\"7654400\"]\n  17 [size=\"87566336\", alpha=\"0.11\", expect_size=\"43783168\"] \n  17 -> 21 [size =\"43783168\"]\n  17 -> 22 [size =\"43783168\"]\n  17 -> 25 [size =\"43783168\"]\n  18 [size=\"25346048\", alpha=\"0.11\", expect_size=\"12673024\"] \n  19 [size=\"57210880\", alpha=\"0.05\", expect_size=\"28605440\"] \n  19 -> 22 [size =\"28605440\"]\n  19 -> 24 [size =\"28605440\"]\n  20 [size=\"30281728\", alpha=\"0.01\", expect_size=\"15140864\"] \n  20 -> 21 [size =\"15140864\"]\n  20 -> 22 [size =\"15140864\"]\n  20 -> 23 [size =\"15140864\"]\n  20 -> 25 [size =\"15140864\"]\n  21 [size=\"72880128\", alpha=\"0.00\", expect_size=\"36440064\"] \n  22 [size=\"77891584\", alpha=\"0.19\", expect_size=\"38945792\"] \n  22 -> 27 [size =\"38945792\"]\n  22 -> 28 [size =\"38945792\"]\n  23 [size=\"100491264\", alpha=\"0.12\", expect_size=\"50245632\"] \n  23 -> 26 [size =\"50245632\"]\n  23 -> 28 [size =\"50245632\"]\n  24 [size=\"77920256\", alpha=\"0.10\", expect_size=\"38960128\"] \n  24 -> 26 [size =\"38960128\"]\n  24 -> 27 [size =\"38960128\"]\n  25 [size=\"21139456\", alpha=\"0.08\", expect_size=\"10569728\"] \n  26 [size=\"41734144\", alpha=\"0.16\", expect_size=\"20867072\"] \n  26 -> 31 [size =\"20867072\"]\n  26 -> 32 [size =\"20867072\"]\n  27 [size=\"64972800\", alpha=\"0.13\", expect_size=\"32486400\"] \n  27 -> 29 [size =\"32486400\"]\n  27 -> 30 [size =\"32486400\"]\n  27 -> 31 [size =\"32486400\"]\n  27 -> 33 [size =\"32486400\"]\n  28 [size=\"20191232\", alpha=\"0.06\", expect_size=\"10095616\"] \n  28 -> 29 [size =\"10095616\"]\n  28 -> 30 [size =\"10095616\"]\n  29 [size=\"70318080\", alpha=\"0.12\", expect_size=\"35159040\"] \n  30 [size=\"95989760\", alpha=\"0.05\", expect_size=\"47994880\"] \n  30 -> 34 [size =\"47994880\"]\n  30 -> 35 [size =\"47994880\"]\n  31 [size=\"102725632\", alpha=\"0.06\", expect_size=\"51362816\"] \n  31 -> 34 [size =\"51362816\"]\n  32 [size=\"102742016\", alpha=\"0.19\", expect_size=\"51371008\"] \n  32 -> 34 [size =\"51371008\"]\n  33 [size=\"96178176\", alpha=\"0.04\", expect_size=\"48089088\"] \n  34 [size=\"60647424\", alpha=\"0.14\", expect_size=\"30323712\"] \n  35 [size=\"13307904\", alpha=\"0.13\", expect_size=\"6653952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35141120\", alpha=\"0.05\", expect_size=\"14056448\"] \n  1 -> 25 [size =\"14056448\"]\n  1 -> 26 [size =\"14056448\"]\n  1 -> 27 [size =\"14056448\"]\n  1 -> 31 [size =\"14056448\"]\n  1 -> 33 [size =\"14056448\"]\n  1 -> 34 [size =\"14056448\"]\n  2 [size=\"128734720\", alpha=\"0.13\", expect_size=\"51493888\"] \n  2 -> 25 [size =\"51493888\"]\n  2 -> 26 [size =\"51493888\"]\n  2 -> 27 [size =\"51493888\"]\n  2 -> 29 [size =\"51493888\"]\n  2 -> 30 [size =\"51493888\"]\n  2 -> 31 [size =\"51493888\"]\n  2 -> 32 [size =\"51493888\"]\n  2 -> 33 [size =\"51493888\"]\n  2 -> 34 [size =\"51493888\"]\n  2 -> 35 [size =\"51493888\"]\n  3 [size=\"80171520\", alpha=\"0.07\", expect_size=\"32068608\"] \n  3 -> 25 [size =\"32068608\"]\n  3 -> 26 [size =\"32068608\"]\n  3 -> 27 [size =\"32068608\"]\n  3 -> 28 [size =\"32068608\"]\n  3 -> 30 [size =\"32068608\"]\n  3 -> 31 [size =\"32068608\"]\n  3 -> 34 [size =\"32068608\"]\n  4 [size=\"55705600\", alpha=\"0.10\", expect_size=\"22282240\"] \n  4 -> 24 [size =\"22282240\"]\n  4 -> 25 [size =\"22282240\"]\n  4 -> 27 [size =\"22282240\"]\n  4 -> 28 [size =\"22282240\"]\n  4 -> 29 [size =\"22282240\"]\n  4 -> 30 [size =\"22282240\"]\n  4 -> 31 [size =\"22282240\"]\n  4 -> 33 [size =\"22282240\"]\n  4 -> 34 [size =\"22282240\"]\n  4 -> 35 [size =\"22282240\"]\n  5 [size=\"64437760\", alpha=\"0.07\", expect_size=\"25775104\"] \n  5 -> 24 [size =\"25775104\"]\n  5 -> 25 [size =\"25775104\"]\n  5 -> 27 [size =\"25775104\"]\n  5 -> 28 [size =\"25775104\"]\n  5 -> 34 [size =\"25775104\"]\n  6 [size=\"120112640\", alpha=\"0.09\", expect_size=\"48045056\"] \n  6 -> 25 [size =\"48045056\"]\n  6 -> 25 [size =\"48045056\"]\n  6 -> 28 [size =\"48045056\"]\n  6 -> 28 [size =\"48045056\"]\n  6 -> 31 [size =\"48045056\"]\n  6 -> 34 [size =\"48045056\"]\n  7 [size=\"72773120\", alpha=\"0.11\", expect_size=\"29109248\"] \n  7 -> 27 [size =\"29109248\"]\n  7 -> 28 [size =\"29109248\"]\n  7 -> 29 [size =\"29109248\"]\n  7 -> 33 [size =\"29109248\"]\n  7 -> 34 [size =\"29109248\"]\n  8 [size=\"96517120\", alpha=\"0.09\", expect_size=\"38606848\"] \n  8 -> 24 [size =\"38606848\"]\n  8 -> 28 [size =\"38606848\"]\n  8 -> 29 [size =\"38606848\"]\n  8 -> 31 [size =\"38606848\"]\n  8 -> 34 [size =\"38606848\"]\n  9 [size=\"96591360\", alpha=\"0.19\", expect_size=\"38636544\"] \n  9 -> 24 [size =\"38636544\"]\n  9 -> 28 [size =\"38636544\"]\n  9 -> 29 [size =\"38636544\"]\n  9 -> 31 [size =\"38636544\"]\n  10 [size=\"86151680\", alpha=\"0.05\", expect_size=\"34460672\"] \n  10 -> 25 [size =\"34460672\"]\n  10 -> 26 [size =\"34460672\"]\n  10 -> 28 [size =\"34460672\"]\n  10 -> 29 [size =\"34460672\"]\n  10 -> 35 [size =\"34460672\"]\n  11 [size=\"114572800\", alpha=\"0.05\", expect_size=\"45829120\"] \n  11 -> 25 [size =\"45829120\"]\n  11 -> 29 [size =\"45829120\"]\n  11 -> 30 [size =\"45829120\"]\n  11 -> 31 [size =\"45829120\"]\n  11 -> 34 [size =\"45829120\"]\n  11 -> 35 [size =\"45829120\"]\n  12 [size=\"24995840\", alpha=\"0.12\", expect_size=\"9998336\"] \n  12 -> 24 [size =\"9998336\"]\n  12 -> 25 [size =\"9998336\"]\n  12 -> 28 [size =\"9998336\"]\n  12 -> 29 [size =\"9998336\"]\n  12 -> 30 [size =\"9998336\"]\n  12 -> 31 [size =\"9998336\"]\n  12 -> 34 [size =\"9998336\"]\n  13 [size=\"103457280\", alpha=\"0.15\", expect_size=\"41382912\"] \n  13 -> 24 [size =\"41382912\"]\n  13 -> 25 [size =\"41382912\"]\n  13 -> 27 [size =\"41382912\"]\n  13 -> 28 [size =\"41382912\"]\n  13 -> 29 [size =\"41382912\"]\n  13 -> 30 [size =\"41382912\"]\n  13 -> 31 [size =\"41382912\"]\n  13 -> 33 [size =\"41382912\"]\n  14 [size=\"29514240\", alpha=\"0.13\", expect_size=\"11805696\"] \n  14 -> 24 [size =\"11805696\"]\n  14 -> 25 [size =\"11805696\"]\n  14 -> 27 [size =\"11805696\"]\n  14 -> 28 [size =\"11805696\"]\n  15 [size=\"88542720\", alpha=\"0.11\", expect_size=\"35417088\"] \n  15 -> 25 [size =\"35417088\"]\n  15 -> 28 [size =\"35417088\"]\n  15 -> 29 [size =\"35417088\"]\n  15 -> 31 [size =\"35417088\"]\n  16 [size=\"130309120\", alpha=\"0.09\", expect_size=\"52123648\"] \n  16 -> 24 [size =\"52123648\"]\n  16 -> 25 [size =\"52123648\"]\n  16 -> 27 [size =\"52123648\"]\n  16 -> 28 [size =\"52123648\"]\n  16 -> 33 [size =\"52123648\"]\n  16 -> 35 [size =\"52123648\"]\n  17 [size=\"64898560\", alpha=\"0.08\", expect_size=\"25959424\"] \n  17 -> 25 [size =\"25959424\"]\n  17 -> 25 [size =\"25959424\"]\n  17 -> 28 [size =\"25959424\"]\n  17 -> 28 [size =\"25959424\"]\n  17 -> 30 [size =\"25959424\"]\n  18 [size=\"14617600\", alpha=\"0.12\", expect_size=\"5847040\"] \n  18 -> 24 [size =\"5847040\"]\n  18 -> 25 [size =\"5847040\"]\n  18 -> 27 [size =\"5847040\"]\n  18 -> 28 [size =\"5847040\"]\n  18 -> 30 [size =\"5847040\"]\n  19 [size=\"64819200\", alpha=\"0.16\", expect_size=\"25927680\"] \n  19 -> 24 [size =\"25927680\"]\n  19 -> 25 [size =\"25927680\"]\n  19 -> 27 [size =\"25927680\"]\n  19 -> 30 [size =\"25927680\"]\n  19 -> 31 [size =\"25927680\"]\n  19 -> 33 [size =\"25927680\"]\n  20 [size=\"57464320\", alpha=\"0.07\", expect_size=\"22985728\"] \n  20 -> 24 [size =\"22985728\"]\n  20 -> 27 [size =\"22985728\"]\n  20 -> 27 [size =\"22985728\"]\n  20 -> 30 [size =\"22985728\"]\n  21 [size=\"84605440\", alpha=\"0.02\", expect_size=\"33842176\"] \n  21 -> 24 [size =\"33842176\"]\n  21 -> 30 [size =\"33842176\"]\n  21 -> 34 [size =\"33842176\"]\n  21 -> 35 [size =\"33842176\"]\n  22 [size=\"111534080\", alpha=\"0.16\", expect_size=\"44613632\"] \n  22 -> 25 [size =\"44613632\"]\n  22 -> 31 [size =\"44613632\"]\n  22 -> 33 [size =\"44613632\"]\n  22 -> 34 [size =\"44613632\"]\n  23 [size=\"64788480\", alpha=\"0.02\", expect_size=\"25915392\"] \n  23 -> 25 [size =\"25915392\"]\n  23 -> 27 [size =\"25915392\"]\n  23 -> 28 [size =\"25915392\"]\n  23 -> 33 [size =\"25915392\"]\n  23 -> 34 [size =\"25915392\"]\n  24 [size=\"33192960\", alpha=\"0.15\", expect_size=\"13277184\"] \n  25 [size=\"109524480\", alpha=\"0.17\", expect_size=\"43809792\"] \n  26 [size=\"57367040\", alpha=\"0.17\", expect_size=\"22946816\"] \n  27 [size=\"108021760\", alpha=\"0.07\", expect_size=\"43208704\"] \n  28 [size=\"36503040\", alpha=\"0.11\", expect_size=\"14601216\"] \n  29 [size=\"104908800\", alpha=\"0.10\", expect_size=\"41963520\"] \n  30 [size=\"79293440\", alpha=\"0.00\", expect_size=\"31717376\"] \n  31 [size=\"119616000\", alpha=\"0.08\", expect_size=\"47846400\"] \n  32 [size=\"129945600\", alpha=\"0.18\", expect_size=\"51978240\"] \n  33 [size=\"107947520\", alpha=\"0.04\", expect_size=\"43179008\"] \n  34 [size=\"120691200\", alpha=\"0.12\", expect_size=\"48276480\"] \n  35 [size=\"92805120\", alpha=\"0.13\", expect_size=\"37122048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84654080\", alpha=\"0.02\", expect_size=\"42327040\"] \n  1 -> 26 [size =\"42327040\"]\n  1 -> 26 [size =\"42327040\"]\n  1 -> 30 [size =\"42327040\"]\n  1 -> 31 [size =\"42327040\"]\n  1 -> 32 [size =\"42327040\"]\n  1 -> 33 [size =\"42327040\"]\n  2 [size=\"96808960\", alpha=\"0.15\", expect_size=\"48404480\"] \n  2 -> 26 [size =\"48404480\"]\n  2 -> 30 [size =\"48404480\"]\n  2 -> 31 [size =\"48404480\"]\n  2 -> 32 [size =\"48404480\"]\n  2 -> 32 [size =\"48404480\"]\n  3 [size=\"73832448\", alpha=\"0.08\", expect_size=\"36916224\"] \n  3 -> 28 [size =\"36916224\"]\n  3 -> 29 [size =\"36916224\"]\n  3 -> 30 [size =\"36916224\"]\n  3 -> 32 [size =\"36916224\"]\n  3 -> 35 [size =\"36916224\"]\n  4 [size=\"74225664\", alpha=\"0.12\", expect_size=\"37112832\"] \n  4 -> 26 [size =\"37112832\"]\n  4 -> 27 [size =\"37112832\"]\n  4 -> 29 [size =\"37112832\"]\n  4 -> 30 [size =\"37112832\"]\n  4 -> 32 [size =\"37112832\"]\n  4 -> 35 [size =\"37112832\"]\n  5 [size=\"96116736\", alpha=\"0.04\", expect_size=\"48058368\"] \n  5 -> 26 [size =\"48058368\"]\n  5 -> 27 [size =\"48058368\"]\n  5 -> 30 [size =\"48058368\"]\n  5 -> 30 [size =\"48058368\"]\n  5 -> 34 [size =\"48058368\"]\n  6 [size=\"97587200\", alpha=\"0.15\", expect_size=\"48793600\"] \n  6 -> 26 [size =\"48793600\"]\n  6 -> 30 [size =\"48793600\"]\n  6 -> 35 [size =\"48793600\"]\n  7 [size=\"23308288\", alpha=\"0.19\", expect_size=\"11654144\"] \n  7 -> 26 [size =\"11654144\"]\n  7 -> 27 [size =\"11654144\"]\n  7 -> 30 [size =\"11654144\"]\n  7 -> 35 [size =\"11654144\"]\n  8 [size=\"51290112\", alpha=\"0.17\", expect_size=\"25645056\"] \n  8 -> 26 [size =\"25645056\"]\n  8 -> 29 [size =\"25645056\"]\n  8 -> 32 [size =\"25645056\"]\n  9 [size=\"20635648\", alpha=\"0.12\", expect_size=\"10317824\"] \n  9 -> 25 [size =\"10317824\"]\n  9 -> 26 [size =\"10317824\"]\n  9 -> 27 [size =\"10317824\"]\n  9 -> 29 [size =\"10317824\"]\n  10 [size=\"78807040\", alpha=\"0.02\", expect_size=\"39403520\"] \n  10 -> 25 [size =\"39403520\"]\n  10 -> 26 [size =\"39403520\"]\n  10 -> 27 [size =\"39403520\"]\n  10 -> 29 [size =\"39403520\"]\n  10 -> 30 [size =\"39403520\"]\n  10 -> 32 [size =\"39403520\"]\n  10 -> 33 [size =\"39403520\"]\n  11 [size=\"37582848\", alpha=\"0.05\", expect_size=\"18791424\"] \n  11 -> 26 [size =\"18791424\"]\n  11 -> 27 [size =\"18791424\"]\n  11 -> 29 [size =\"18791424\"]\n  11 -> 30 [size =\"18791424\"]\n  11 -> 31 [size =\"18791424\"]\n  11 -> 32 [size =\"18791424\"]\n  11 -> 33 [size =\"18791424\"]\n  11 -> 35 [size =\"18791424\"]\n  12 [size=\"47398912\", alpha=\"0.06\", expect_size=\"23699456\"] \n  12 -> 27 [size =\"23699456\"]\n  12 -> 29 [size =\"23699456\"]\n  12 -> 30 [size =\"23699456\"]\n  13 [size=\"23760896\", alpha=\"0.12\", expect_size=\"11880448\"] \n  13 -> 29 [size =\"11880448\"]\n  13 -> 30 [size =\"11880448\"]\n  13 -> 35 [size =\"11880448\"]\n  14 [size=\"60119040\", alpha=\"0.06\", expect_size=\"30059520\"] \n  14 -> 29 [size =\"30059520\"]\n  14 -> 30 [size =\"30059520\"]\n  15 [size=\"21950464\", alpha=\"0.03\", expect_size=\"10975232\"] \n  15 -> 26 [size =\"10975232\"]\n  15 -> 29 [size =\"10975232\"]\n  15 -> 32 [size =\"10975232\"]\n  16 [size=\"41488384\", alpha=\"0.08\", expect_size=\"20744192\"] \n  16 -> 30 [size =\"20744192\"]\n  16 -> 32 [size =\"20744192\"]\n  17 [size=\"18524160\", alpha=\"0.09\", expect_size=\"9262080\"] \n  17 -> 29 [size =\"9262080\"]\n  17 -> 30 [size =\"9262080\"]\n  17 -> 32 [size =\"9262080\"]\n  18 [size=\"15128576\", alpha=\"0.11\", expect_size=\"7564288\"] \n  18 -> 26 [size =\"7564288\"]\n  18 -> 27 [size =\"7564288\"]\n  18 -> 30 [size =\"7564288\"]\n  18 -> 32 [size =\"7564288\"]\n  19 [size=\"96786432\", alpha=\"0.02\", expect_size=\"48393216\"] \n  19 -> 26 [size =\"48393216\"]\n  19 -> 29 [size =\"48393216\"]\n  19 -> 31 [size =\"48393216\"]\n  19 -> 32 [size =\"48393216\"]\n  20 [size=\"58986496\", alpha=\"0.17\", expect_size=\"29493248\"] \n  20 -> 27 [size =\"29493248\"]\n  20 -> 29 [size =\"29493248\"]\n  20 -> 32 [size =\"29493248\"]\n  21 [size=\"68726784\", alpha=\"0.08\", expect_size=\"34363392\"] \n  21 -> 25 [size =\"34363392\"]\n  21 -> 26 [size =\"34363392\"]\n  21 -> 27 [size =\"34363392\"]\n  21 -> 30 [size =\"34363392\"]\n  21 -> 33 [size =\"34363392\"]\n  22 [size=\"90908672\", alpha=\"0.17\", expect_size=\"45454336\"] \n  22 -> 26 [size =\"45454336\"]\n  22 -> 27 [size =\"45454336\"]\n  22 -> 27 [size =\"45454336\"]\n  22 -> 29 [size =\"45454336\"]\n  22 -> 30 [size =\"45454336\"]\n  22 -> 33 [size =\"45454336\"]\n  23 [size=\"27158528\", alpha=\"0.00\", expect_size=\"13579264\"] \n  23 -> 26 [size =\"13579264\"]\n  23 -> 27 [size =\"13579264\"]\n  23 -> 32 [size =\"13579264\"]\n  24 [size=\"84961280\", alpha=\"0.16\", expect_size=\"42480640\"] \n  24 -> 25 [size =\"42480640\"]\n  24 -> 26 [size =\"42480640\"]\n  24 -> 27 [size =\"42480640\"]\n  24 -> 29 [size =\"42480640\"]\n  24 -> 32 [size =\"42480640\"]\n  25 [size=\"20619264\", alpha=\"0.10\", expect_size=\"10309632\"] \n  26 [size=\"33273856\", alpha=\"0.03\", expect_size=\"16636928\"] \n  27 [size=\"68673536\", alpha=\"0.18\", expect_size=\"34336768\"] \n  28 [size=\"14665728\", alpha=\"0.03\", expect_size=\"7332864\"] \n  29 [size=\"66482176\", alpha=\"0.09\", expect_size=\"33241088\"] \n  30 [size=\"77289472\", alpha=\"0.09\", expect_size=\"38644736\"] \n  31 [size=\"65189888\", alpha=\"0.16\", expect_size=\"32594944\"] \n  32 [size=\"104351744\", alpha=\"0.10\", expect_size=\"52175872\"] \n  33 [size=\"92358656\", alpha=\"0.07\", expect_size=\"46179328\"] \n  34 [size=\"92559360\", alpha=\"0.15\", expect_size=\"46279680\"] \n  35 [size=\"74317824\", alpha=\"0.05\", expect_size=\"37158912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105940480\", alpha=\"0.18\", expect_size=\"42376192\"] \n  1 -> 6 [size =\"42376192\"]\n  1 -> 7 [size =\"42376192\"]\n  1 -> 8 [size =\"42376192\"]\n  2 [size=\"13667840\", alpha=\"0.04\", expect_size=\"5467136\"] \n  2 -> 5 [size =\"5467136\"]\n  3 [size=\"59952640\", alpha=\"0.12\", expect_size=\"23981056\"] \n  3 -> 7 [size =\"23981056\"]\n  4 [size=\"67274240\", alpha=\"0.02\", expect_size=\"26909696\"] \n  4 -> 8 [size =\"26909696\"]\n  5 [size=\"106257920\", alpha=\"0.08\", expect_size=\"42503168\"] \n  5 -> 14 [size =\"42503168\"]\n  6 [size=\"34964480\", alpha=\"0.17\", expect_size=\"13985792\"] \n  6 -> 10 [size =\"13985792\"]\n  6 -> 11 [size =\"13985792\"]\n  7 [size=\"76769280\", alpha=\"0.06\", expect_size=\"30707712\"] \n  7 -> 9 [size =\"30707712\"]\n  7 -> 10 [size =\"30707712\"]\n  7 -> 11 [size =\"30707712\"]\n  7 -> 12 [size =\"30707712\"]\n  7 -> 13 [size =\"30707712\"]\n  8 [size=\"115325440\", alpha=\"0.10\", expect_size=\"46130176\"] \n  8 -> 10 [size =\"46130176\"]\n  8 -> 11 [size =\"46130176\"]\n  8 -> 12 [size =\"46130176\"]\n  9 [size=\"43612160\", alpha=\"0.16\", expect_size=\"17444864\"] \n  9 -> 15 [size =\"17444864\"]\n  9 -> 18 [size =\"17444864\"]\n  10 [size=\"40704000\", alpha=\"0.12\", expect_size=\"16281600\"] \n  11 [size=\"22243840\", alpha=\"0.02\", expect_size=\"8897536\"] \n  11 -> 16 [size =\"8897536\"]\n  11 -> 17 [size =\"8897536\"]\n  11 -> 18 [size =\"8897536\"]\n  12 [size=\"129466880\", alpha=\"0.02\", expect_size=\"51786752\"] \n  12 -> 16 [size =\"51786752\"]\n  13 [size=\"35665920\", alpha=\"0.17\", expect_size=\"14266368\"] \n  13 -> 15 [size =\"14266368\"]\n  13 -> 16 [size =\"14266368\"]\n  14 [size=\"103756800\", alpha=\"0.19\", expect_size=\"41502720\"] \n  14 -> 15 [size =\"41502720\"]\n  14 -> 16 [size =\"41502720\"]\n  14 -> 18 [size =\"41502720\"]\n  15 [size=\"114232320\", alpha=\"0.03\", expect_size=\"45692928\"] \n  15 -> 21 [size =\"45692928\"]\n  16 [size=\"41082880\", alpha=\"0.05\", expect_size=\"16433152\"] \n  16 -> 20 [size =\"16433152\"]\n  16 -> 23 [size =\"16433152\"]\n  17 [size=\"21777920\", alpha=\"0.14\", expect_size=\"8711168\"] \n  17 -> 22 [size =\"8711168\"]\n  17 -> 23 [size =\"8711168\"]\n  17 -> 24 [size =\"8711168\"]\n  18 [size=\"57118720\", alpha=\"0.14\", expect_size=\"22847488\"] \n  18 -> 19 [size =\"22847488\"]\n  18 -> 20 [size =\"22847488\"]\n  18 -> 22 [size =\"22847488\"]\n  18 -> 23 [size =\"22847488\"]\n  19 [size=\"118848000\", alpha=\"0.12\", expect_size=\"47539200\"] \n  19 -> 27 [size =\"47539200\"]\n  19 -> 28 [size =\"47539200\"]\n  20 [size=\"95142400\", alpha=\"0.18\", expect_size=\"38056960\"] \n  20 -> 26 [size =\"38056960\"]\n  21 [size=\"49735680\", alpha=\"0.19\", expect_size=\"19894272\"] \n  21 -> 28 [size =\"19894272\"]\n  22 [size=\"58926080\", alpha=\"0.20\", expect_size=\"23570432\"] \n  22 -> 26 [size =\"23570432\"]\n  22 -> 27 [size =\"23570432\"]\n  22 -> 28 [size =\"23570432\"]\n  23 [size=\"69872640\", alpha=\"0.09\", expect_size=\"27949056\"] \n  24 [size=\"50506240\", alpha=\"0.07\", expect_size=\"20202496\"] \n  24 -> 25 [size =\"20202496\"]\n  25 [size=\"47290880\", alpha=\"0.01\", expect_size=\"18916352\"] \n  25 -> 30 [size =\"18916352\"]\n  25 -> 32 [size =\"18916352\"]\n  25 -> 33 [size =\"18916352\"]\n  26 [size=\"64414720\", alpha=\"0.19\", expect_size=\"25765888\"] \n  26 -> 29 [size =\"25765888\"]\n  26 -> 32 [size =\"25765888\"]\n  27 [size=\"92641280\", alpha=\"0.07\", expect_size=\"37056512\"] \n  27 -> 32 [size =\"37056512\"]\n  27 -> 33 [size =\"37056512\"]\n  28 [size=\"58647040\", alpha=\"0.13\", expect_size=\"23458816\"] \n  28 -> 29 [size =\"23458816\"]\n  28 -> 30 [size =\"23458816\"]\n  28 -> 31 [size =\"23458816\"]\n  29 [size=\"25640960\", alpha=\"0.04\", expect_size=\"10256384\"] \n  29 -> 34 [size =\"10256384\"]\n  29 -> 35 [size =\"10256384\"]\n  30 [size=\"99161600\", alpha=\"0.20\", expect_size=\"39664640\"] \n  31 [size=\"85790720\", alpha=\"0.17\", expect_size=\"34316288\"] \n  32 [size=\"78364160\", alpha=\"0.14\", expect_size=\"31345664\"] \n  32 -> 35 [size =\"31345664\"]\n  33 [size=\"77440000\", alpha=\"0.15\", expect_size=\"30976000\"] \n  33 -> 34 [size =\"30976000\"]\n  33 -> 35 [size =\"30976000\"]\n  34 [size=\"129866240\", alpha=\"0.11\", expect_size=\"51946496\"] \n  35 [size=\"53882880\", alpha=\"0.04\", expect_size=\"21553152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46479360\", alpha=\"0.18\", expect_size=\"18591744\"] \n  1 -> 19 [size =\"18591744\"]\n  1 -> 20 [size =\"18591744\"]\n  1 -> 23 [size =\"18591744\"]\n  2 [size=\"99814400\", alpha=\"0.14\", expect_size=\"39925760\"] \n  2 -> 13 [size =\"39925760\"]\n  2 -> 15 [size =\"39925760\"]\n  2 -> 16 [size =\"39925760\"]\n  2 -> 17 [size =\"39925760\"]\n  2 -> 18 [size =\"39925760\"]\n  2 -> 19 [size =\"39925760\"]\n  2 -> 20 [size =\"39925760\"]\n  2 -> 22 [size =\"39925760\"]\n  2 -> 23 [size =\"39925760\"]\n  3 [size=\"65597440\", alpha=\"0.15\", expect_size=\"26238976\"] \n  3 -> 19 [size =\"26238976\"]\n  3 -> 20 [size =\"26238976\"]\n  3 -> 21 [size =\"26238976\"]\n  3 -> 22 [size =\"26238976\"]\n  3 -> 23 [size =\"26238976\"]\n  4 [size=\"115637760\", alpha=\"0.13\", expect_size=\"46255104\"] \n  4 -> 12 [size =\"46255104\"]\n  4 -> 19 [size =\"46255104\"]\n  4 -> 22 [size =\"46255104\"]\n  4 -> 22 [size =\"46255104\"]\n  4 -> 23 [size =\"46255104\"]\n  5 [size=\"28756480\", alpha=\"0.05\", expect_size=\"11502592\"] \n  5 -> 13 [size =\"11502592\"]\n  5 -> 14 [size =\"11502592\"]\n  5 -> 15 [size =\"11502592\"]\n  5 -> 19 [size =\"11502592\"]\n  5 -> 23 [size =\"11502592\"]\n  6 [size=\"82339840\", alpha=\"0.12\", expect_size=\"32935936\"] \n  6 -> 12 [size =\"32935936\"]\n  6 -> 13 [size =\"32935936\"]\n  6 -> 15 [size =\"32935936\"]\n  6 -> 19 [size =\"32935936\"]\n  6 -> 20 [size =\"32935936\"]\n  6 -> 23 [size =\"32935936\"]\n  7 [size=\"13486080\", alpha=\"0.16\", expect_size=\"5394432\"] \n  7 -> 15 [size =\"5394432\"]\n  7 -> 16 [size =\"5394432\"]\n  7 -> 22 [size =\"5394432\"]\n  8 [size=\"47528960\", alpha=\"0.02\", expect_size=\"19011584\"] \n  8 -> 12 [size =\"19011584\"]\n  8 -> 16 [size =\"19011584\"]\n  8 -> 19 [size =\"19011584\"]\n  8 -> 20 [size =\"19011584\"]\n  8 -> 22 [size =\"19011584\"]\n  8 -> 23 [size =\"19011584\"]\n  9 [size=\"24647680\", alpha=\"0.08\", expect_size=\"9859072\"] \n  9 -> 12 [size =\"9859072\"]\n  9 -> 15 [size =\"9859072\"]\n  9 -> 19 [size =\"9859072\"]\n  9 -> 20 [size =\"9859072\"]\n  9 -> 22 [size =\"9859072\"]\n  9 -> 23 [size =\"9859072\"]\n  10 [size=\"60318720\", alpha=\"0.14\", expect_size=\"24127488\"] \n  10 -> 17 [size =\"24127488\"]\n  10 -> 19 [size =\"24127488\"]\n  10 -> 20 [size =\"24127488\"]\n  10 -> 22 [size =\"24127488\"]\n  11 [size=\"29690880\", alpha=\"0.04\", expect_size=\"11876352\"] \n  11 -> 12 [size =\"11876352\"]\n  11 -> 13 [size =\"11876352\"]\n  11 -> 16 [size =\"11876352\"]\n  11 -> 17 [size =\"11876352\"]\n  11 -> 19 [size =\"11876352\"]\n  11 -> 20 [size =\"11876352\"]\n  11 -> 21 [size =\"11876352\"]\n  11 -> 23 [size =\"11876352\"]\n  12 [size=\"18380800\", alpha=\"0.18\", expect_size=\"7352320\"] \n  12 -> 25 [size =\"7352320\"]\n  12 -> 26 [size =\"7352320\"]\n  12 -> 29 [size =\"7352320\"]\n  12 -> 31 [size =\"7352320\"]\n  12 -> 32 [size =\"7352320\"]\n  12 -> 33 [size =\"7352320\"]\n  13 [size=\"103646720\", alpha=\"0.18\", expect_size=\"41458688\"] \n  13 -> 25 [size =\"41458688\"]\n  13 -> 26 [size =\"41458688\"]\n  13 -> 28 [size =\"41458688\"]\n  13 -> 29 [size =\"41458688\"]\n  13 -> 31 [size =\"41458688\"]\n  13 -> 32 [size =\"41458688\"]\n  14 [size=\"71316480\", alpha=\"0.16\", expect_size=\"28526592\"] \n  14 -> 25 [size =\"28526592\"]\n  14 -> 29 [size =\"28526592\"]\n  14 -> 30 [size =\"28526592\"]\n  14 -> 31 [size =\"28526592\"]\n  14 -> 32 [size =\"28526592\"]\n  15 [size=\"27722240\", alpha=\"0.01\", expect_size=\"11088896\"] \n  15 -> 25 [size =\"11088896\"]\n  15 -> 26 [size =\"11088896\"]\n  15 -> 30 [size =\"11088896\"]\n  15 -> 31 [size =\"11088896\"]\n  15 -> 32 [size =\"11088896\"]\n  16 [size=\"54489600\", alpha=\"0.02\", expect_size=\"21795840\"] \n  16 -> 25 [size =\"21795840\"]\n  16 -> 28 [size =\"21795840\"]\n  16 -> 29 [size =\"21795840\"]\n  16 -> 33 [size =\"21795840\"]\n  17 [size=\"124984320\", alpha=\"0.08\", expect_size=\"49993728\"] \n  17 -> 25 [size =\"49993728\"]\n  17 -> 27 [size =\"49993728\"]\n  17 -> 28 [size =\"49993728\"]\n  17 -> 29 [size =\"49993728\"]\n  17 -> 31 [size =\"49993728\"]\n  17 -> 32 [size =\"49993728\"]\n  18 [size=\"101145600\", alpha=\"0.02\", expect_size=\"40458240\"] \n  18 -> 25 [size =\"40458240\"]\n  18 -> 26 [size =\"40458240\"]\n  18 -> 28 [size =\"40458240\"]\n  18 -> 29 [size =\"40458240\"]\n  19 [size=\"110248960\", alpha=\"0.18\", expect_size=\"44099584\"] \n  19 -> 25 [size =\"44099584\"]\n  19 -> 26 [size =\"44099584\"]\n  19 -> 28 [size =\"44099584\"]\n  19 -> 30 [size =\"44099584\"]\n  19 -> 31 [size =\"44099584\"]\n  19 -> 32 [size =\"44099584\"]\n  20 [size=\"36902400\", alpha=\"0.08\", expect_size=\"14760960\"] \n  20 -> 27 [size =\"14760960\"]\n  20 -> 31 [size =\"14760960\"]\n  20 -> 33 [size =\"14760960\"]\n  21 [size=\"117726720\", alpha=\"0.03\", expect_size=\"47090688\"] \n  21 -> 24 [size =\"47090688\"]\n  21 -> 25 [size =\"47090688\"]\n  21 -> 29 [size =\"47090688\"]\n  21 -> 33 [size =\"47090688\"]\n  22 [size=\"24924160\", alpha=\"0.13\", expect_size=\"9969664\"] \n  22 -> 25 [size =\"9969664\"]\n  22 -> 26 [size =\"9969664\"]\n  22 -> 29 [size =\"9969664\"]\n  22 -> 30 [size =\"9969664\"]\n  23 [size=\"15854080\", alpha=\"0.11\", expect_size=\"6341632\"] \n  23 -> 25 [size =\"6341632\"]\n  23 -> 26 [size =\"6341632\"]\n  23 -> 30 [size =\"6341632\"]\n  23 -> 31 [size =\"6341632\"]\n  23 -> 33 [size =\"6341632\"]\n  23 -> 34 [size =\"6341632\"]\n  24 [size=\"124541440\", alpha=\"0.07\", expect_size=\"49816576\"] \n  25 [size=\"101260800\", alpha=\"0.06\", expect_size=\"40504320\"] \n  25 -> 35 [size =\"40504320\"]\n  26 [size=\"109045760\", alpha=\"0.16\", expect_size=\"43618304\"] \n  27 [size=\"119239680\", alpha=\"0.07\", expect_size=\"47695872\"] \n  28 [size=\"48637440\", alpha=\"0.03\", expect_size=\"19454976\"] \n  29 [size=\"59276800\", alpha=\"0.01\", expect_size=\"23710720\"] \n  30 [size=\"50060800\", alpha=\"0.07\", expect_size=\"20024320\"] \n  31 [size=\"96005120\", alpha=\"0.16\", expect_size=\"38402048\"] \n  32 [size=\"112517120\", alpha=\"0.06\", expect_size=\"45006848\"] \n  32 -> 35 [size =\"45006848\"]\n  33 [size=\"68336640\", alpha=\"0.12\", expect_size=\"27334656\"] \n  33 -> 35 [size =\"27334656\"]\n  34 [size=\"15961600\", alpha=\"0.07\", expect_size=\"6384640\"] \n  35 [size=\"57917440\", alpha=\"0.05\", expect_size=\"23166976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82039467\", alpha=\"0.13\", expect_size=\"24611840\"] \n  1 -> 13 [size =\"24611840\"]\n  1 -> 23 [size =\"24611840\"]\n  1 -> 25 [size =\"24611840\"]\n  1 -> 28 [size =\"24611840\"]\n  1 -> 30 [size =\"24611840\"]\n  1 -> 32 [size =\"24611840\"]\n  2 [size=\"91016533\", alpha=\"0.06\", expect_size=\"27304960\"] \n  2 -> 16 [size =\"27304960\"]\n  2 -> 17 [size =\"27304960\"]\n  2 -> 20 [size =\"27304960\"]\n  2 -> 21 [size =\"27304960\"]\n  2 -> 29 [size =\"27304960\"]\n  2 -> 30 [size =\"27304960\"]\n  3 [size=\"67498667\", alpha=\"0.19\", expect_size=\"20249600\"] \n  3 -> 13 [size =\"20249600\"]\n  3 -> 17 [size =\"20249600\"]\n  3 -> 19 [size =\"20249600\"]\n  3 -> 25 [size =\"20249600\"]\n  3 -> 29 [size =\"20249600\"]\n  3 -> 30 [size =\"20249600\"]\n  3 -> 33 [size =\"20249600\"]\n  3 -> 35 [size =\"20249600\"]\n  4 [size=\"67577173\", alpha=\"0.09\", expect_size=\"20273152\"] \n  4 -> 16 [size =\"20273152\"]\n  4 -> 20 [size =\"20273152\"]\n  4 -> 21 [size =\"20273152\"]\n  4 -> 25 [size =\"20273152\"]\n  4 -> 29 [size =\"20273152\"]\n  4 -> 34 [size =\"20273152\"]\n  5 [size=\"74130773\", alpha=\"0.10\", expect_size=\"22239232\"] \n  5 -> 24 [size =\"22239232\"]\n  5 -> 33 [size =\"22239232\"]\n  6 [size=\"62539093\", alpha=\"0.18\", expect_size=\"18761728\"] \n  6 -> 14 [size =\"18761728\"]\n  6 -> 15 [size =\"18761728\"]\n  6 -> 17 [size =\"18761728\"]\n  6 -> 18 [size =\"18761728\"]\n  6 -> 19 [size =\"18761728\"]\n  6 -> 20 [size =\"18761728\"]\n  6 -> 21 [size =\"18761728\"]\n  6 -> 23 [size =\"18761728\"]\n  6 -> 24 [size =\"18761728\"]\n  6 -> 27 [size =\"18761728\"]\n  6 -> 33 [size =\"18761728\"]\n  7 [size=\"42407253\", alpha=\"0.18\", expect_size=\"12722176\"] \n  7 -> 19 [size =\"12722176\"]\n  7 -> 21 [size =\"12722176\"]\n  7 -> 23 [size =\"12722176\"]\n  7 -> 24 [size =\"12722176\"]\n  7 -> 27 [size =\"12722176\"]\n  7 -> 30 [size =\"12722176\"]\n  7 -> 34 [size =\"12722176\"]\n  8 [size=\"103854080\", alpha=\"0.05\", expect_size=\"31156224\"] \n  8 -> 16 [size =\"31156224\"]\n  8 -> 21 [size =\"31156224\"]\n  8 -> 24 [size =\"31156224\"]\n  8 -> 25 [size =\"31156224\"]\n  8 -> 27 [size =\"31156224\"]\n  8 -> 29 [size =\"31156224\"]\n  8 -> 30 [size =\"31156224\"]\n  8 -> 32 [size =\"31156224\"]\n  8 -> 35 [size =\"31156224\"]\n  9 [size=\"111571627\", alpha=\"0.15\", expect_size=\"33471488\"] \n  9 -> 16 [size =\"33471488\"]\n  9 -> 17 [size =\"33471488\"]\n  9 -> 19 [size =\"33471488\"]\n  9 -> 20 [size =\"33471488\"]\n  9 -> 21 [size =\"33471488\"]\n  9 -> 22 [size =\"33471488\"]\n  9 -> 25 [size =\"33471488\"]\n  9 -> 28 [size =\"33471488\"]\n  9 -> 30 [size =\"33471488\"]\n  9 -> 31 [size =\"33471488\"]\n  9 -> 32 [size =\"33471488\"]\n  9 -> 33 [size =\"33471488\"]\n  10 [size=\"87808000\", alpha=\"0.16\", expect_size=\"26342400\"] \n  10 -> 19 [size =\"26342400\"]\n  10 -> 20 [size =\"26342400\"]\n  10 -> 22 [size =\"26342400\"]\n  10 -> 23 [size =\"26342400\"]\n  10 -> 27 [size =\"26342400\"]\n  10 -> 28 [size =\"26342400\"]\n  10 -> 32 [size =\"26342400\"]\n  11 [size=\"160075093\", alpha=\"0.13\", expect_size=\"48022528\"] \n  11 -> 16 [size =\"48022528\"]\n  11 -> 17 [size =\"48022528\"]\n  11 -> 19 [size =\"48022528\"]\n  11 -> 26 [size =\"48022528\"]\n  11 -> 27 [size =\"48022528\"]\n  11 -> 28 [size =\"48022528\"]\n  11 -> 30 [size =\"48022528\"]\n  11 -> 32 [size =\"48022528\"]\n  12 [size=\"104690347\", alpha=\"0.16\", expect_size=\"31407104\"] \n  12 -> 15 [size =\"31407104\"]\n  12 -> 16 [size =\"31407104\"]\n  12 -> 19 [size =\"31407104\"]\n  12 -> 22 [size =\"31407104\"]\n  12 -> 24 [size =\"31407104\"]\n  12 -> 26 [size =\"31407104\"]\n  12 -> 28 [size =\"31407104\"]\n  12 -> 32 [size =\"31407104\"]\n  13 [size=\"155255467\", alpha=\"0.14\", expect_size=\"46576640\"] \n  14 [size=\"148916907\", alpha=\"0.04\", expect_size=\"44675072\"] \n  15 [size=\"65218560\", alpha=\"0.05\", expect_size=\"19565568\"] \n  16 [size=\"142332587\", alpha=\"0.07\", expect_size=\"42699776\"] \n  17 [size=\"127255893\", alpha=\"0.01\", expect_size=\"38176768\"] \n  18 [size=\"111759360\", alpha=\"0.06\", expect_size=\"33527808\"] \n  19 [size=\"149824853\", alpha=\"0.16\", expect_size=\"44947456\"] \n  20 [size=\"114169173\", alpha=\"0.08\", expect_size=\"34250752\"] \n  21 [size=\"81302187\", alpha=\"0.08\", expect_size=\"24390656\"] \n  22 [size=\"29402453\", alpha=\"0.18\", expect_size=\"8820736\"] \n  23 [size=\"154344107\", alpha=\"0.14\", expect_size=\"46303232\"] \n  24 [size=\"104707413\", alpha=\"0.16\", expect_size=\"31412224\"] \n  25 [size=\"137823573\", alpha=\"0.06\", expect_size=\"41347072\"] \n  26 [size=\"21019307\", alpha=\"0.01\", expect_size=\"6305792\"] \n  27 [size=\"78813867\", alpha=\"0.19\", expect_size=\"23644160\"] \n  28 [size=\"89763840\", alpha=\"0.09\", expect_size=\"26929152\"] \n  29 [size=\"140417707\", alpha=\"0.10\", expect_size=\"42125312\"] \n  30 [size=\"106530133\", alpha=\"0.01\", expect_size=\"31959040\"] \n  31 [size=\"167529813\", alpha=\"0.09\", expect_size=\"50258944\"] \n  32 [size=\"73407147\", alpha=\"0.09\", expect_size=\"22022144\"] \n  33 [size=\"54988800\", alpha=\"0.06\", expect_size=\"16496640\"] \n  34 [size=\"162304000\", alpha=\"0.20\", expect_size=\"48691200\"] \n  35 [size=\"130877440\", alpha=\"0.19\", expect_size=\"39263232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61752320\", alpha=\"0.11\", expect_size=\"24700928\"] \n  1 -> 10 [size =\"24700928\"]\n  1 -> 11 [size =\"24700928\"]\n  1 -> 12 [size =\"24700928\"]\n  2 [size=\"128650240\", alpha=\"0.07\", expect_size=\"51460096\"] \n  2 -> 7 [size =\"51460096\"]\n  2 -> 8 [size =\"51460096\"]\n  2 -> 9 [size =\"51460096\"]\n  3 [size=\"80606720\", alpha=\"0.09\", expect_size=\"32242688\"] \n  3 -> 10 [size =\"32242688\"]\n  4 [size=\"113879040\", alpha=\"0.10\", expect_size=\"45551616\"] \n  4 -> 7 [size =\"45551616\"]\n  4 -> 12 [size =\"45551616\"]\n  5 [size=\"40069120\", alpha=\"0.06\", expect_size=\"16027648\"] \n  5 -> 11 [size =\"16027648\"]\n  5 -> 12 [size =\"16027648\"]\n  6 [size=\"49413120\", alpha=\"0.14\", expect_size=\"19765248\"] \n  6 -> 7 [size =\"19765248\"]\n  6 -> 10 [size =\"19765248\"]\n  6 -> 11 [size =\"19765248\"]\n  7 [size=\"95820800\", alpha=\"0.17\", expect_size=\"38328320\"] \n  7 -> 13 [size =\"38328320\"]\n  7 -> 17 [size =\"38328320\"]\n  8 [size=\"67228160\", alpha=\"0.07\", expect_size=\"26891264\"] \n  8 -> 14 [size =\"26891264\"]\n  8 -> 16 [size =\"26891264\"]\n  8 -> 17 [size =\"26891264\"]\n  9 [size=\"35888640\", alpha=\"0.17\", expect_size=\"14355456\"] \n  10 [size=\"97113600\", alpha=\"0.05\", expect_size=\"38845440\"] \n  10 -> 16 [size =\"38845440\"]\n  11 [size=\"78973440\", alpha=\"0.14\", expect_size=\"31589376\"] \n  11 -> 15 [size =\"31589376\"]\n  11 -> 16 [size =\"31589376\"]\n  12 [size=\"26990080\", alpha=\"0.17\", expect_size=\"10796032\"] \n  12 -> 13 [size =\"10796032\"]\n  12 -> 14 [size =\"10796032\"]\n  12 -> 15 [size =\"10796032\"]\n  12 -> 17 [size =\"10796032\"]\n  13 [size=\"65776640\", alpha=\"0.04\", expect_size=\"26310656\"] \n  13 -> 20 [size =\"26310656\"]\n  13 -> 21 [size =\"26310656\"]\n  14 [size=\"120793600\", alpha=\"0.00\", expect_size=\"48317440\"] \n  14 -> 18 [size =\"48317440\"]\n  14 -> 21 [size =\"48317440\"]\n  15 [size=\"61473280\", alpha=\"0.16\", expect_size=\"24589312\"] \n  15 -> 18 [size =\"24589312\"]\n  16 [size=\"98247680\", alpha=\"0.12\", expect_size=\"39299072\"] \n  16 -> 18 [size =\"39299072\"]\n  16 -> 22 [size =\"39299072\"]\n  17 [size=\"64437760\", alpha=\"0.03\", expect_size=\"25775104\"] \n  17 -> 18 [size =\"25775104\"]\n  17 -> 19 [size =\"25775104\"]\n  17 -> 22 [size =\"25775104\"]\n  18 [size=\"47452160\", alpha=\"0.04\", expect_size=\"18980864\"] \n  18 -> 23 [size =\"18980864\"]\n  18 -> 25 [size =\"18980864\"]\n  19 [size=\"87418880\", alpha=\"0.02\", expect_size=\"34967552\"] \n  19 -> 25 [size =\"34967552\"]\n  20 [size=\"70402560\", alpha=\"0.09\", expect_size=\"28161024\"] \n  21 [size=\"101831680\", alpha=\"0.05\", expect_size=\"40732672\"] \n  21 -> 26 [size =\"40732672\"]\n  21 -> 27 [size =\"40732672\"]\n  22 [size=\"66119680\", alpha=\"0.01\", expect_size=\"26447872\"] \n  22 -> 23 [size =\"26447872\"]\n  22 -> 24 [size =\"26447872\"]\n  22 -> 26 [size =\"26447872\"]\n  23 [size=\"47459840\", alpha=\"0.08\", expect_size=\"18983936\"] \n  23 -> 31 [size =\"18983936\"]\n  24 [size=\"69634560\", alpha=\"0.12\", expect_size=\"27853824\"] \n  24 -> 28 [size =\"27853824\"]\n  24 -> 30 [size =\"27853824\"]\n  25 [size=\"70371840\", alpha=\"0.00\", expect_size=\"28148736\"] \n  25 -> 29 [size =\"28148736\"]\n  25 -> 30 [size =\"28148736\"]\n  26 [size=\"48350720\", alpha=\"0.15\", expect_size=\"19340288\"] \n  26 -> 29 [size =\"19340288\"]\n  26 -> 30 [size =\"19340288\"]\n  27 [size=\"120220160\", alpha=\"0.04\", expect_size=\"48088064\"] \n  27 -> 29 [size =\"48088064\"]\n  27 -> 30 [size =\"48088064\"]\n  28 [size=\"17853440\", alpha=\"0.02\", expect_size=\"7141376\"] \n  28 -> 32 [size =\"7141376\"]\n  28 -> 33 [size =\"7141376\"]\n  28 -> 34 [size =\"7141376\"]\n  29 [size=\"42987520\", alpha=\"0.04\", expect_size=\"17195008\"] \n  29 -> 33 [size =\"17195008\"]\n  29 -> 35 [size =\"17195008\"]\n  30 [size=\"52459520\", alpha=\"0.20\", expect_size=\"20983808\"] \n  30 -> 33 [size =\"20983808\"]\n  31 [size=\"107228160\", alpha=\"0.07\", expect_size=\"42891264\"] \n  31 -> 32 [size =\"42891264\"]\n  32 [size=\"20008960\", alpha=\"0.17\", expect_size=\"8003584\"] \n  33 [size=\"24312320\", alpha=\"0.15\", expect_size=\"9724928\"] \n  34 [size=\"69672960\", alpha=\"0.12\", expect_size=\"27869184\"] \n  35 [size=\"20938240\", alpha=\"0.17\", expect_size=\"8375296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61159424\", alpha=\"0.10\", expect_size=\"30579712\"] \n  1 -> 8 [size =\"30579712\"]\n  1 -> 9 [size =\"30579712\"]\n  2 [size=\"101324800\", alpha=\"0.13\", expect_size=\"50662400\"] \n  2 -> 8 [size =\"50662400\"]\n  2 -> 10 [size =\"50662400\"]\n  3 [size=\"40916992\", alpha=\"0.04\", expect_size=\"20458496\"] \n  3 -> 10 [size =\"20458496\"]\n  4 [size=\"42444800\", alpha=\"0.01\", expect_size=\"21222400\"] \n  4 -> 8 [size =\"21222400\"]\n  4 -> 9 [size =\"21222400\"]\n  4 -> 10 [size =\"21222400\"]\n  5 [size=\"52209664\", alpha=\"0.04\", expect_size=\"26104832\"] \n  5 -> 8 [size =\"26104832\"]\n  5 -> 9 [size =\"26104832\"]\n  5 -> 10 [size =\"26104832\"]\n  6 [size=\"13006848\", alpha=\"0.03\", expect_size=\"6503424\"] \n  6 -> 8 [size =\"6503424\"]\n  6 -> 9 [size =\"6503424\"]\n  6 -> 10 [size =\"6503424\"]\n  7 [size=\"50972672\", alpha=\"0.03\", expect_size=\"25486336\"] \n  7 -> 8 [size =\"25486336\"]\n  7 -> 9 [size =\"25486336\"]\n  7 -> 10 [size =\"25486336\"]\n  8 [size=\"75845632\", alpha=\"0.02\", expect_size=\"37922816\"] \n  8 -> 11 [size =\"37922816\"]\n  8 -> 12 [size =\"37922816\"]\n  8 -> 13 [size =\"37922816\"]\n  9 [size=\"86200320\", alpha=\"0.15\", expect_size=\"43100160\"] \n  9 -> 11 [size =\"43100160\"]\n  9 -> 12 [size =\"43100160\"]\n  10 [size=\"27832320\", alpha=\"0.16\", expect_size=\"13916160\"] \n  10 -> 11 [size =\"13916160\"]\n  10 -> 12 [size =\"13916160\"]\n  11 [size=\"27695104\", alpha=\"0.11\", expect_size=\"13847552\"] \n  11 -> 14 [size =\"13847552\"]\n  11 -> 15 [size =\"13847552\"]\n  11 -> 16 [size =\"13847552\"]\n  11 -> 17 [size =\"13847552\"]\n  11 -> 18 [size =\"13847552\"]\n  12 [size=\"74303488\", alpha=\"0.03\", expect_size=\"37151744\"] \n  12 -> 14 [size =\"37151744\"]\n  12 -> 15 [size =\"37151744\"]\n  12 -> 16 [size =\"37151744\"]\n  12 -> 17 [size =\"37151744\"]\n  13 [size=\"43204608\", alpha=\"0.11\", expect_size=\"21602304\"] \n  13 -> 14 [size =\"21602304\"]\n  13 -> 15 [size =\"21602304\"]\n  13 -> 16 [size =\"21602304\"]\n  13 -> 17 [size =\"21602304\"]\n  13 -> 18 [size =\"21602304\"]\n  14 [size=\"63143936\", alpha=\"0.18\", expect_size=\"31571968\"] \n  14 -> 20 [size =\"31571968\"]\n  14 -> 21 [size =\"31571968\"]\n  14 -> 22 [size =\"31571968\"]\n  15 [size=\"67391488\", alpha=\"0.06\", expect_size=\"33695744\"] \n  15 -> 19 [size =\"33695744\"]\n  15 -> 20 [size =\"33695744\"]\n  15 -> 21 [size =\"33695744\"]\n  15 -> 22 [size =\"33695744\"]\n  16 [size=\"86726656\", alpha=\"0.20\", expect_size=\"43363328\"] \n  17 [size=\"100864000\", alpha=\"0.14\", expect_size=\"50432000\"] \n  17 -> 22 [size =\"50432000\"]\n  18 [size=\"18948096\", alpha=\"0.05\", expect_size=\"9474048\"] \n  18 -> 19 [size =\"9474048\"]\n  18 -> 21 [size =\"9474048\"]\n  19 [size=\"26576896\", alpha=\"0.19\", expect_size=\"13288448\"] \n  19 -> 23 [size =\"13288448\"]\n  19 -> 25 [size =\"13288448\"]\n  19 -> 27 [size =\"13288448\"]\n  19 -> 28 [size =\"13288448\"]\n  20 [size=\"96159744\", alpha=\"0.09\", expect_size=\"48079872\"] \n  20 -> 23 [size =\"48079872\"]\n  20 -> 24 [size =\"48079872\"]\n  20 -> 25 [size =\"48079872\"]\n  20 -> 27 [size =\"48079872\"]\n  21 [size=\"77498368\", alpha=\"0.11\", expect_size=\"38749184\"] \n  21 -> 23 [size =\"38749184\"]\n  21 -> 24 [size =\"38749184\"]\n  21 -> 25 [size =\"38749184\"]\n  22 [size=\"32854016\", alpha=\"0.11\", expect_size=\"16427008\"] \n  22 -> 23 [size =\"16427008\"]\n  22 -> 25 [size =\"16427008\"]\n  22 -> 26 [size =\"16427008\"]\n  23 [size=\"47335424\", alpha=\"0.18\", expect_size=\"23667712\"] \n  24 [size=\"97650688\", alpha=\"0.12\", expect_size=\"48825344\"] \n  24 -> 30 [size =\"48825344\"]\n  25 [size=\"89120768\", alpha=\"0.14\", expect_size=\"44560384\"] \n  25 -> 29 [size =\"44560384\"]\n  26 [size=\"25059328\", alpha=\"0.17\", expect_size=\"12529664\"] \n  26 -> 29 [size =\"12529664\"]\n  26 -> 30 [size =\"12529664\"]\n  27 [size=\"23482368\", alpha=\"0.09\", expect_size=\"11741184\"] \n  28 [size=\"91201536\", alpha=\"0.14\", expect_size=\"45600768\"] \n  29 [size=\"22589440\", alpha=\"0.16\", expect_size=\"11294720\"] \n  29 -> 32 [size =\"11294720\"]\n  29 -> 33 [size =\"11294720\"]\n  29 -> 34 [size =\"11294720\"]\n  29 -> 35 [size =\"11294720\"]\n  30 [size=\"17604608\", alpha=\"0.01\", expect_size=\"8802304\"] \n  30 -> 31 [size =\"8802304\"]\n  30 -> 32 [size =\"8802304\"]\n  30 -> 33 [size =\"8802304\"]\n  30 -> 34 [size =\"8802304\"]\n  30 -> 35 [size =\"8802304\"]\n  31 [size=\"61927424\", alpha=\"0.10\", expect_size=\"30963712\"] \n  32 [size=\"17487872\", alpha=\"0.12\", expect_size=\"8743936\"] \n  33 [size=\"69500928\", alpha=\"0.01\", expect_size=\"34750464\"] \n  34 [size=\"59650048\", alpha=\"0.02\", expect_size=\"29825024\"] \n  35 [size=\"19896320\", alpha=\"0.14\", expect_size=\"9948160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57040213\", alpha=\"0.06\", expect_size=\"17112064\"] \n  1 -> 9 [size =\"17112064\"]\n  1 -> 10 [size =\"17112064\"]\n  1 -> 11 [size =\"17112064\"]\n  1 -> 12 [size =\"17112064\"]\n  1 -> 13 [size =\"17112064\"]\n  1 -> 14 [size =\"17112064\"]\n  1 -> 15 [size =\"17112064\"]\n  1 -> 16 [size =\"17112064\"]\n  1 -> 18 [size =\"17112064\"]\n  1 -> 19 [size =\"17112064\"]\n  2 [size=\"31795200\", alpha=\"0.18\", expect_size=\"9538560\"] \n  2 -> 9 [size =\"9538560\"]\n  2 -> 10 [size =\"9538560\"]\n  2 -> 14 [size =\"9538560\"]\n  2 -> 16 [size =\"9538560\"]\n  2 -> 18 [size =\"9538560\"]\n  3 [size=\"19964587\", alpha=\"0.09\", expect_size=\"5989376\"] \n  3 -> 10 [size =\"5989376\"]\n  3 -> 13 [size =\"5989376\"]\n  3 -> 15 [size =\"5989376\"]\n  3 -> 17 [size =\"5989376\"]\n  3 -> 18 [size =\"5989376\"]\n  3 -> 19 [size =\"5989376\"]\n  4 [size=\"139806720\", alpha=\"0.16\", expect_size=\"41942016\"] \n  4 -> 9 [size =\"41942016\"]\n  4 -> 13 [size =\"41942016\"]\n  4 -> 14 [size =\"41942016\"]\n  4 -> 18 [size =\"41942016\"]\n  4 -> 18 [size =\"41942016\"]\n  4 -> 19 [size =\"41942016\"]\n  5 [size=\"29924693\", alpha=\"0.15\", expect_size=\"8977408\"] \n  5 -> 9 [size =\"8977408\"]\n  5 -> 10 [size =\"8977408\"]\n  5 -> 13 [size =\"8977408\"]\n  5 -> 14 [size =\"8977408\"]\n  5 -> 16 [size =\"8977408\"]\n  5 -> 17 [size =\"8977408\"]\n  5 -> 18 [size =\"8977408\"]\n  6 [size=\"76366507\", alpha=\"0.01\", expect_size=\"22909952\"] \n  6 -> 9 [size =\"22909952\"]\n  6 -> 10 [size =\"22909952\"]\n  6 -> 13 [size =\"22909952\"]\n  6 -> 14 [size =\"22909952\"]\n  6 -> 15 [size =\"22909952\"]\n  6 -> 17 [size =\"22909952\"]\n  7 [size=\"35976533\", alpha=\"0.03\", expect_size=\"10792960\"] \n  7 -> 9 [size =\"10792960\"]\n  7 -> 10 [size =\"10792960\"]\n  7 -> 13 [size =\"10792960\"]\n  7 -> 14 [size =\"10792960\"]\n  7 -> 18 [size =\"10792960\"]\n  7 -> 19 [size =\"10792960\"]\n  8 [size=\"35898027\", alpha=\"0.13\", expect_size=\"10769408\"] \n  8 -> 9 [size =\"10769408\"]\n  8 -> 13 [size =\"10769408\"]\n  8 -> 14 [size =\"10769408\"]\n  8 -> 18 [size =\"10769408\"]\n  9 [size=\"69024427\", alpha=\"0.06\", expect_size=\"20707328\"] \n  9 -> 20 [size =\"20707328\"]\n  9 -> 24 [size =\"20707328\"]\n  9 -> 28 [size =\"20707328\"]\n  9 -> 29 [size =\"20707328\"]\n  9 -> 31 [size =\"20707328\"]\n  9 -> 32 [size =\"20707328\"]\n  10 [size=\"95429973\", alpha=\"0.01\", expect_size=\"28628992\"] \n  10 -> 20 [size =\"28628992\"]\n  10 -> 21 [size =\"28628992\"]\n  10 -> 23 [size =\"28628992\"]\n  10 -> 28 [size =\"28628992\"]\n  10 -> 29 [size =\"28628992\"]\n  10 -> 31 [size =\"28628992\"]\n  10 -> 32 [size =\"28628992\"]\n  10 -> 33 [size =\"28628992\"]\n  11 [size=\"142530560\", alpha=\"0.06\", expect_size=\"42759168\"] \n  11 -> 20 [size =\"42759168\"]\n  11 -> 21 [size =\"42759168\"]\n  11 -> 23 [size =\"42759168\"]\n  11 -> 26 [size =\"42759168\"]\n  11 -> 29 [size =\"42759168\"]\n  11 -> 31 [size =\"42759168\"]\n  11 -> 32 [size =\"42759168\"]\n  12 [size=\"30900907\", alpha=\"0.09\", expect_size=\"9270272\"] \n  12 -> 20 [size =\"9270272\"]\n  12 -> 30 [size =\"9270272\"]\n  12 -> 32 [size =\"9270272\"]\n  13 [size=\"172130987\", alpha=\"0.05\", expect_size=\"51639296\"] \n  13 -> 20 [size =\"51639296\"]\n  13 -> 21 [size =\"51639296\"]\n  13 -> 25 [size =\"51639296\"]\n  13 -> 26 [size =\"51639296\"]\n  13 -> 27 [size =\"51639296\"]\n  13 -> 29 [size =\"51639296\"]\n  13 -> 33 [size =\"51639296\"]\n  14 [size=\"83077120\", alpha=\"0.11\", expect_size=\"24923136\"] \n  14 -> 28 [size =\"24923136\"]\n  14 -> 31 [size =\"24923136\"]\n  14 -> 32 [size =\"24923136\"]\n  15 [size=\"52329813\", alpha=\"0.19\", expect_size=\"15698944\"] \n  15 -> 20 [size =\"15698944\"]\n  15 -> 23 [size =\"15698944\"]\n  15 -> 28 [size =\"15698944\"]\n  15 -> 32 [size =\"15698944\"]\n  16 [size=\"173359787\", alpha=\"0.01\", expect_size=\"52007936\"] \n  16 -> 20 [size =\"52007936\"]\n  16 -> 21 [size =\"52007936\"]\n  16 -> 27 [size =\"52007936\"]\n  16 -> 29 [size =\"52007936\"]\n  16 -> 30 [size =\"52007936\"]\n  17 [size=\"20459520\", alpha=\"0.16\", expect_size=\"6137856\"] \n  17 -> 20 [size =\"6137856\"]\n  17 -> 21 [size =\"6137856\"]\n  17 -> 22 [size =\"6137856\"]\n  17 -> 24 [size =\"6137856\"]\n  17 -> 29 [size =\"6137856\"]\n  17 -> 31 [size =\"6137856\"]\n  17 -> 32 [size =\"6137856\"]\n  18 [size=\"40990720\", alpha=\"0.13\", expect_size=\"12297216\"] \n  18 -> 20 [size =\"12297216\"]\n  18 -> 21 [size =\"12297216\"]\n  18 -> 25 [size =\"12297216\"]\n  18 -> 26 [size =\"12297216\"]\n  18 -> 28 [size =\"12297216\"]\n  18 -> 29 [size =\"12297216\"]\n  18 -> 32 [size =\"12297216\"]\n  19 [size=\"141045760\", alpha=\"0.20\", expect_size=\"42313728\"] \n  19 -> 20 [size =\"42313728\"]\n  19 -> 21 [size =\"42313728\"]\n  19 -> 25 [size =\"42313728\"]\n  19 -> 28 [size =\"42313728\"]\n  19 -> 29 [size =\"42313728\"]\n  19 -> 29 [size =\"42313728\"]\n  19 -> 31 [size =\"42313728\"]\n  19 -> 32 [size =\"42313728\"]\n  20 [size=\"30955520\", alpha=\"0.15\", expect_size=\"9286656\"] \n  20 -> 35 [size =\"9286656\"]\n  21 [size=\"35078827\", alpha=\"0.15\", expect_size=\"10523648\"] \n  21 -> 34 [size =\"10523648\"]\n  21 -> 35 [size =\"10523648\"]\n  22 [size=\"85172907\", alpha=\"0.18\", expect_size=\"25551872\"] \n  22 -> 34 [size =\"25551872\"]\n  23 [size=\"158958933\", alpha=\"0.00\", expect_size=\"47687680\"] \n  23 -> 34 [size =\"47687680\"]\n  24 [size=\"42352640\", alpha=\"0.18\", expect_size=\"12705792\"] \n  24 -> 34 [size =\"12705792\"]\n  25 [size=\"131686400\", alpha=\"0.18\", expect_size=\"39505920\"] \n  25 -> 34 [size =\"39505920\"]\n  26 [size=\"122166613\", alpha=\"0.05\", expect_size=\"36649984\"] \n  26 -> 34 [size =\"36649984\"]\n  26 -> 35 [size =\"36649984\"]\n  27 [size=\"127095467\", alpha=\"0.14\", expect_size=\"38128640\"] \n  27 -> 34 [size =\"38128640\"]\n  28 [size=\"96621227\", alpha=\"0.06\", expect_size=\"28986368\"] \n  28 -> 34 [size =\"28986368\"]\n  29 [size=\"43427840\", alpha=\"0.05\", expect_size=\"13028352\"] \n  29 -> 34 [size =\"13028352\"]\n  30 [size=\"41919147\", alpha=\"0.13\", expect_size=\"12575744\"] \n  30 -> 34 [size =\"12575744\"]\n  31 [size=\"160904533\", alpha=\"0.17\", expect_size=\"48271360\"] \n  31 -> 34 [size =\"48271360\"]\n  32 [size=\"125378560\", alpha=\"0.03\", expect_size=\"37613568\"] \n  32 -> 34 [size =\"37613568\"]\n  33 [size=\"106943147\", alpha=\"0.08\", expect_size=\"32082944\"] \n  34 [size=\"108093440\", alpha=\"0.02\", expect_size=\"32428032\"] \n  35 [size=\"93873493\", alpha=\"0.01\", expect_size=\"28162048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85555200\", alpha=\"0.10\", expect_size=\"34222080\"] \n  1 -> 3 [size =\"34222080\"]\n  1 -> 4 [size =\"34222080\"]\n  2 [size=\"20574720\", alpha=\"0.15\", expect_size=\"8229888\"] \n  2 -> 3 [size =\"8229888\"]\n  2 -> 4 [size =\"8229888\"]\n  3 [size=\"71577600\", alpha=\"0.19\", expect_size=\"28631040\"] \n  3 -> 5 [size =\"28631040\"]\n  4 [size=\"130452480\", alpha=\"0.14\", expect_size=\"52180992\"] \n  4 -> 5 [size =\"52180992\"]\n  5 [size=\"50764800\", alpha=\"0.06\", expect_size=\"20305920\"] \n  5 -> 6 [size =\"20305920\"]\n  5 -> 7 [size =\"20305920\"]\n  6 [size=\"18406400\", alpha=\"0.19\", expect_size=\"7362560\"] \n  6 -> 8 [size =\"7362560\"]\n  6 -> 9 [size =\"7362560\"]\n  7 [size=\"48143360\", alpha=\"0.10\", expect_size=\"19257344\"] \n  7 -> 8 [size =\"19257344\"]\n  7 -> 9 [size =\"19257344\"]\n  8 [size=\"60195840\", alpha=\"0.17\", expect_size=\"24078336\"] \n  8 -> 10 [size =\"24078336\"]\n  8 -> 11 [size =\"24078336\"]\n  9 [size=\"34188800\", alpha=\"0.16\", expect_size=\"13675520\"] \n  9 -> 10 [size =\"13675520\"]\n  9 -> 11 [size =\"13675520\"]\n  10 [size=\"20600320\", alpha=\"0.10\", expect_size=\"8240128\"] \n  10 -> 13 [size =\"8240128\"]\n  11 [size=\"105400320\", alpha=\"0.20\", expect_size=\"42160128\"] \n  11 -> 12 [size =\"42160128\"]\n  11 -> 13 [size =\"42160128\"]\n  12 [size=\"45987840\", alpha=\"0.01\", expect_size=\"18395136\"] \n  12 -> 14 [size =\"18395136\"]\n  13 [size=\"16583680\", alpha=\"0.10\", expect_size=\"6633472\"] \n  13 -> 14 [size =\"6633472\"]\n  13 -> 15 [size =\"6633472\"]\n  14 [size=\"126013440\", alpha=\"0.18\", expect_size=\"50405376\"] \n  14 -> 16 [size =\"50405376\"]\n  15 [size=\"88995840\", alpha=\"0.04\", expect_size=\"35598336\"] \n  15 -> 16 [size =\"35598336\"]\n  16 [size=\"124352000\", alpha=\"0.20\", expect_size=\"49740800\"] \n  16 -> 17 [size =\"49740800\"]\n  17 [size=\"121226240\", alpha=\"0.17\", expect_size=\"48490496\"] \n  17 -> 18 [size =\"48490496\"]\n  17 -> 19 [size =\"48490496\"]\n  18 [size=\"62182400\", alpha=\"0.08\", expect_size=\"24872960\"] \n  18 -> 20 [size =\"24872960\"]\n  19 [size=\"46865920\", alpha=\"0.04\", expect_size=\"18746368\"] \n  19 -> 20 [size =\"18746368\"]\n  20 [size=\"23237120\", alpha=\"0.03\", expect_size=\"9294848\"] \n  20 -> 21 [size =\"9294848\"]\n  20 -> 22 [size =\"9294848\"]\n  21 [size=\"80130560\", alpha=\"0.13\", expect_size=\"32052224\"] \n  21 -> 23 [size =\"32052224\"]\n  22 [size=\"78566400\", alpha=\"0.05\", expect_size=\"31426560\"] \n  22 -> 23 [size =\"31426560\"]\n  23 [size=\"83238400\", alpha=\"0.07\", expect_size=\"33295360\"] \n  23 -> 24 [size =\"33295360\"]\n  23 -> 25 [size =\"33295360\"]\n  24 [size=\"27161600\", alpha=\"0.09\", expect_size=\"10864640\"] \n  24 -> 26 [size =\"10864640\"]\n  25 [size=\"13977600\", alpha=\"0.17\", expect_size=\"5591040\"] \n  25 -> 26 [size =\"5591040\"]\n  26 [size=\"35699200\", alpha=\"0.07\", expect_size=\"14279680\"] \n  26 -> 27 [size =\"14279680\"]\n  26 -> 28 [size =\"14279680\"]\n  27 [size=\"33745920\", alpha=\"0.02\", expect_size=\"13498368\"] \n  27 -> 29 [size =\"13498368\"]\n  27 -> 30 [size =\"13498368\"]\n  28 [size=\"14781440\", alpha=\"0.05\", expect_size=\"5912576\"] \n  28 -> 29 [size =\"5912576\"]\n  28 -> 30 [size =\"5912576\"]\n  29 [size=\"64151040\", alpha=\"0.11\", expect_size=\"25660416\"] \n  30 [size=\"88450560\", alpha=\"0.19\", expect_size=\"35380224\"] \n  30 -> 31 [size =\"35380224\"]\n  31 [size=\"103874560\", alpha=\"0.03\", expect_size=\"41549824\"] \n  31 -> 32 [size =\"41549824\"]\n  31 -> 33 [size =\"41549824\"]\n  32 [size=\"64913920\", alpha=\"0.12\", expect_size=\"25965568\"] \n  32 -> 34 [size =\"25965568\"]\n  33 [size=\"96998400\", alpha=\"0.02\", expect_size=\"38799360\"] \n  33 -> 34 [size =\"38799360\"]\n  33 -> 35 [size =\"38799360\"]\n  34 [size=\"22671360\", alpha=\"0.11\", expect_size=\"9068544\"] \n  35 [size=\"77248000\", alpha=\"0.12\", expect_size=\"30899200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123712000\", alpha=\"0.10\", expect_size=\"49484800\"] \n  1 -> 20 [size =\"49484800\"]\n  1 -> 21 [size =\"49484800\"]\n  1 -> 24 [size =\"49484800\"]\n  1 -> 28 [size =\"49484800\"]\n  1 -> 32 [size =\"49484800\"]\n  2 [size=\"33940480\", alpha=\"0.05\", expect_size=\"13576192\"] \n  2 -> 19 [size =\"13576192\"]\n  2 -> 20 [size =\"13576192\"]\n  2 -> 26 [size =\"13576192\"]\n  2 -> 28 [size =\"13576192\"]\n  3 [size=\"57223680\", alpha=\"0.01\", expect_size=\"22889472\"] \n  3 -> 20 [size =\"22889472\"]\n  3 -> 20 [size =\"22889472\"]\n  3 -> 21 [size =\"22889472\"]\n  3 -> 22 [size =\"22889472\"]\n  3 -> 23 [size =\"22889472\"]\n  3 -> 28 [size =\"22889472\"]\n  3 -> 31 [size =\"22889472\"]\n  4 [size=\"64870400\", alpha=\"0.10\", expect_size=\"25948160\"] \n  4 -> 20 [size =\"25948160\"]\n  4 -> 22 [size =\"25948160\"]\n  4 -> 24 [size =\"25948160\"]\n  4 -> 26 [size =\"25948160\"]\n  4 -> 28 [size =\"25948160\"]\n  4 -> 32 [size =\"25948160\"]\n  5 [size=\"45888000\", alpha=\"0.06\", expect_size=\"18355200\"] \n  5 -> 21 [size =\"18355200\"]\n  5 -> 22 [size =\"18355200\"]\n  5 -> 24 [size =\"18355200\"]\n  5 -> 26 [size =\"18355200\"]\n  6 [size=\"63969280\", alpha=\"0.00\", expect_size=\"25587712\"] \n  6 -> 20 [size =\"25587712\"]\n  6 -> 21 [size =\"25587712\"]\n  6 -> 23 [size =\"25587712\"]\n  6 -> 24 [size =\"25587712\"]\n  6 -> 26 [size =\"25587712\"]\n  6 -> 28 [size =\"25587712\"]\n  6 -> 34 [size =\"25587712\"]\n  7 [size=\"58465280\", alpha=\"0.09\", expect_size=\"23386112\"] \n  7 -> 19 [size =\"23386112\"]\n  7 -> 20 [size =\"23386112\"]\n  7 -> 22 [size =\"23386112\"]\n  7 -> 23 [size =\"23386112\"]\n  7 -> 24 [size =\"23386112\"]\n  7 -> 26 [size =\"23386112\"]\n  7 -> 28 [size =\"23386112\"]\n  7 -> 32 [size =\"23386112\"]\n  7 -> 34 [size =\"23386112\"]\n  8 [size=\"44157440\", alpha=\"0.11\", expect_size=\"17662976\"] \n  8 -> 20 [size =\"17662976\"]\n  8 -> 22 [size =\"17662976\"]\n  8 -> 23 [size =\"17662976\"]\n  8 -> 24 [size =\"17662976\"]\n  8 -> 24 [size =\"17662976\"]\n  8 -> 26 [size =\"17662976\"]\n  8 -> 27 [size =\"17662976\"]\n  8 -> 30 [size =\"17662976\"]\n  8 -> 32 [size =\"17662976\"]\n  8 -> 34 [size =\"17662976\"]\n  9 [size=\"95592960\", alpha=\"0.14\", expect_size=\"38237184\"] \n  9 -> 21 [size =\"38237184\"]\n  9 -> 24 [size =\"38237184\"]\n  9 -> 26 [size =\"38237184\"]\n  9 -> 30 [size =\"38237184\"]\n  9 -> 32 [size =\"38237184\"]\n  9 -> 33 [size =\"38237184\"]\n  10 [size=\"23654400\", alpha=\"0.16\", expect_size=\"9461760\"] \n  10 -> 20 [size =\"9461760\"]\n  10 -> 21 [size =\"9461760\"]\n  10 -> 23 [size =\"9461760\"]\n  10 -> 24 [size =\"9461760\"]\n  10 -> 25 [size =\"9461760\"]\n  10 -> 26 [size =\"9461760\"]\n  10 -> 28 [size =\"9461760\"]\n  10 -> 30 [size =\"9461760\"]\n  10 -> 32 [size =\"9461760\"]\n  10 -> 35 [size =\"9461760\"]\n  11 [size=\"34357760\", alpha=\"0.08\", expect_size=\"13743104\"] \n  11 -> 20 [size =\"13743104\"]\n  11 -> 21 [size =\"13743104\"]\n  11 -> 24 [size =\"13743104\"]\n  11 -> 24 [size =\"13743104\"]\n  11 -> 25 [size =\"13743104\"]\n  11 -> 26 [size =\"13743104\"]\n  11 -> 28 [size =\"13743104\"]\n  11 -> 34 [size =\"13743104\"]\n  12 [size=\"92014080\", alpha=\"0.02\", expect_size=\"36805632\"] \n  12 -> 21 [size =\"36805632\"]\n  12 -> 24 [size =\"36805632\"]\n  12 -> 26 [size =\"36805632\"]\n  12 -> 28 [size =\"36805632\"]\n  12 -> 29 [size =\"36805632\"]\n  12 -> 30 [size =\"36805632\"]\n  13 [size=\"124144640\", alpha=\"0.17\", expect_size=\"49657856\"] \n  13 -> 20 [size =\"49657856\"]\n  13 -> 23 [size =\"49657856\"]\n  13 -> 24 [size =\"49657856\"]\n  13 -> 28 [size =\"49657856\"]\n  13 -> 29 [size =\"49657856\"]\n  14 [size=\"130644480\", alpha=\"0.08\", expect_size=\"52257792\"] \n  14 -> 19 [size =\"52257792\"]\n  14 -> 23 [size =\"52257792\"]\n  14 -> 28 [size =\"52257792\"]\n  14 -> 30 [size =\"52257792\"]\n  15 [size=\"70062080\", alpha=\"0.11\", expect_size=\"28024832\"] \n  15 -> 24 [size =\"28024832\"]\n  15 -> 26 [size =\"28024832\"]\n  15 -> 30 [size =\"28024832\"]\n  16 [size=\"106321920\", alpha=\"0.02\", expect_size=\"42528768\"] \n  16 -> 19 [size =\"42528768\"]\n  16 -> 20 [size =\"42528768\"]\n  16 -> 21 [size =\"42528768\"]\n  16 -> 22 [size =\"42528768\"]\n  16 -> 23 [size =\"42528768\"]\n  16 -> 28 [size =\"42528768\"]\n  16 -> 29 [size =\"42528768\"]\n  16 -> 30 [size =\"42528768\"]\n  16 -> 32 [size =\"42528768\"]\n  17 [size=\"109135360\", alpha=\"0.07\", expect_size=\"43654144\"] \n  17 -> 20 [size =\"43654144\"]\n  17 -> 26 [size =\"43654144\"]\n  17 -> 28 [size =\"43654144\"]\n  17 -> 29 [size =\"43654144\"]\n  17 -> 35 [size =\"43654144\"]\n  18 [size=\"42045440\", alpha=\"0.18\", expect_size=\"16818176\"] \n  18 -> 20 [size =\"16818176\"]\n  18 -> 21 [size =\"16818176\"]\n  18 -> 25 [size =\"16818176\"]\n  18 -> 26 [size =\"16818176\"]\n  18 -> 28 [size =\"16818176\"]\n  18 -> 35 [size =\"16818176\"]\n  19 [size=\"105400320\", alpha=\"0.06\", expect_size=\"42160128\"] \n  20 [size=\"70120960\", alpha=\"0.01\", expect_size=\"28048384\"] \n  21 [size=\"46835200\", alpha=\"0.15\", expect_size=\"18734080\"] \n  22 [size=\"91993600\", alpha=\"0.13\", expect_size=\"36797440\"] \n  23 [size=\"105866240\", alpha=\"0.18\", expect_size=\"42346496\"] \n  24 [size=\"88724480\", alpha=\"0.12\", expect_size=\"35489792\"] \n  25 [size=\"17285120\", alpha=\"0.12\", expect_size=\"6914048\"] \n  26 [size=\"80785920\", alpha=\"0.20\", expect_size=\"32314368\"] \n  27 [size=\"90449920\", alpha=\"0.15\", expect_size=\"36179968\"] \n  28 [size=\"129200640\", alpha=\"0.17\", expect_size=\"51680256\"] \n  29 [size=\"115018240\", alpha=\"0.12\", expect_size=\"46007296\"] \n  30 [size=\"32550400\", alpha=\"0.08\", expect_size=\"13020160\"] \n  31 [size=\"40673280\", alpha=\"0.09\", expect_size=\"16269312\"] \n  32 [size=\"14064640\", alpha=\"0.03\", expect_size=\"5625856\"] \n  33 [size=\"91520000\", alpha=\"0.15\", expect_size=\"36608000\"] \n  34 [size=\"81233920\", alpha=\"0.08\", expect_size=\"32493568\"] \n  35 [size=\"34967040\", alpha=\"0.10\", expect_size=\"13986816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34185216\", alpha=\"0.15\", expect_size=\"17092608\"] \n  1 -> 2 [size =\"17092608\"]\n  1 -> 3 [size =\"17092608\"]\n  2 [size=\"47280128\", alpha=\"0.01\", expect_size=\"23640064\"] \n  2 -> 4 [size =\"23640064\"]\n  3 [size=\"54726656\", alpha=\"0.05\", expect_size=\"27363328\"] \n  4 [size=\"22165504\", alpha=\"0.16\", expect_size=\"11082752\"] \n  4 -> 5 [size =\"11082752\"]\n  4 -> 6 [size =\"11082752\"]\n  5 [size=\"30896128\", alpha=\"0.05\", expect_size=\"15448064\"] \n  5 -> 7 [size =\"15448064\"]\n  6 [size=\"42721280\", alpha=\"0.01\", expect_size=\"21360640\"] \n  7 [size=\"23298048\", alpha=\"0.10\", expect_size=\"11649024\"] \n  7 -> 8 [size =\"11649024\"]\n  7 -> 9 [size =\"11649024\"]\n  8 [size=\"71870464\", alpha=\"0.09\", expect_size=\"35935232\"] \n  8 -> 10 [size =\"35935232\"]\n  9 [size=\"83679232\", alpha=\"0.10\", expect_size=\"41839616\"] \n  9 -> 10 [size =\"41839616\"]\n  10 [size=\"77985792\", alpha=\"0.09\", expect_size=\"38992896\"] \n  10 -> 11 [size =\"38992896\"]\n  11 [size=\"37683200\", alpha=\"0.09\", expect_size=\"18841600\"] \n  11 -> 12 [size =\"18841600\"]\n  11 -> 13 [size =\"18841600\"]\n  12 [size=\"13471744\", alpha=\"0.13\", expect_size=\"6735872\"] \n  13 [size=\"17989632\", alpha=\"0.08\", expect_size=\"8994816\"] \n  13 -> 14 [size =\"8994816\"]\n  13 -> 15 [size =\"8994816\"]\n  14 [size=\"42999808\", alpha=\"0.10\", expect_size=\"21499904\"] \n  15 [size=\"22814720\", alpha=\"0.02\", expect_size=\"11407360\"] \n  15 -> 16 [size =\"11407360\"]\n  15 -> 17 [size =\"11407360\"]\n  16 [size=\"46360576\", alpha=\"0.09\", expect_size=\"23180288\"] \n  17 [size=\"48803840\", alpha=\"0.03\", expect_size=\"24401920\"] \n  17 -> 18 [size =\"24401920\"]\n  18 [size=\"97992704\", alpha=\"0.02\", expect_size=\"48996352\"] \n  18 -> 19 [size =\"48996352\"]\n  19 [size=\"47919104\", alpha=\"0.05\", expect_size=\"23959552\"] \n  19 -> 20 [size =\"23959552\"]\n  19 -> 21 [size =\"23959552\"]\n  20 [size=\"95334400\", alpha=\"0.02\", expect_size=\"47667200\"] \n  21 [size=\"42653696\", alpha=\"0.04\", expect_size=\"21326848\"] \n  21 -> 22 [size =\"21326848\"]\n  22 [size=\"84398080\", alpha=\"0.14\", expect_size=\"42199040\"] \n  22 -> 23 [size =\"42199040\"]\n  22 -> 24 [size =\"42199040\"]\n  23 [size=\"49369088\", alpha=\"0.14\", expect_size=\"24684544\"] \n  23 -> 25 [size =\"24684544\"]\n  24 [size=\"85825536\", alpha=\"0.16\", expect_size=\"42912768\"] \n  24 -> 25 [size =\"42912768\"]\n  25 [size=\"37570560\", alpha=\"0.02\", expect_size=\"18785280\"] \n  25 -> 26 [size =\"18785280\"]\n  26 [size=\"46682112\", alpha=\"0.15\", expect_size=\"23341056\"] \n  26 -> 27 [size =\"23341056\"]\n  27 [size=\"89298944\", alpha=\"0.11\", expect_size=\"44649472\"] \n  27 -> 28 [size =\"44649472\"]\n  27 -> 29 [size =\"44649472\"]\n  28 [size=\"102526976\", alpha=\"0.19\", expect_size=\"51263488\"] \n  28 -> 30 [size =\"51263488\"]\n  28 -> 31 [size =\"51263488\"]\n  29 [size=\"16175104\", alpha=\"0.04\", expect_size=\"8087552\"] \n  29 -> 30 [size =\"8087552\"]\n  30 [size=\"40024064\", alpha=\"0.02\", expect_size=\"20012032\"] \n  30 -> 33 [size =\"20012032\"]\n  31 [size=\"50601984\", alpha=\"0.07\", expect_size=\"25300992\"] \n  31 -> 32 [size =\"25300992\"]\n  32 [size=\"71608320\", alpha=\"0.11\", expect_size=\"35804160\"] \n  32 -> 35 [size =\"35804160\"]\n  33 [size=\"45465600\", alpha=\"0.18\", expect_size=\"22732800\"] \n  33 -> 34 [size =\"22732800\"]\n  33 -> 35 [size =\"22732800\"]\n  34 [size=\"16418816\", alpha=\"0.11\", expect_size=\"8209408\"] \n  35 [size=\"90517504\", alpha=\"0.08\", expect_size=\"45258752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26944000\", alpha=\"0.17\", expect_size=\"10777600\"] \n  1 -> 10 [size =\"10777600\"]\n  1 -> 13 [size =\"10777600\"]\n  1 -> 15 [size =\"10777600\"]\n  1 -> 18 [size =\"10777600\"]\n  2 [size=\"129192960\", alpha=\"0.01\", expect_size=\"51677184\"] \n  2 -> 14 [size =\"51677184\"]\n  2 -> 16 [size =\"51677184\"]\n  2 -> 17 [size =\"51677184\"]\n  2 -> 18 [size =\"51677184\"]\n  2 -> 20 [size =\"51677184\"]\n  3 [size=\"102978560\", alpha=\"0.02\", expect_size=\"41191424\"] \n  3 -> 10 [size =\"41191424\"]\n  3 -> 14 [size =\"41191424\"]\n  3 -> 17 [size =\"41191424\"]\n  3 -> 18 [size =\"41191424\"]\n  3 -> 20 [size =\"41191424\"]\n  4 [size=\"102822400\", alpha=\"0.13\", expect_size=\"41128960\"] \n  4 -> 10 [size =\"41128960\"]\n  4 -> 14 [size =\"41128960\"]\n  4 -> 15 [size =\"41128960\"]\n  4 -> 17 [size =\"41128960\"]\n  4 -> 19 [size =\"41128960\"]\n  4 -> 20 [size =\"41128960\"]\n  5 [size=\"67299840\", alpha=\"0.07\", expect_size=\"26919936\"] \n  5 -> 10 [size =\"26919936\"]\n  5 -> 11 [size =\"26919936\"]\n  5 -> 14 [size =\"26919936\"]\n  5 -> 15 [size =\"26919936\"]\n  5 -> 18 [size =\"26919936\"]\n  5 -> 20 [size =\"26919936\"]\n  6 [size=\"16563200\", alpha=\"0.07\", expect_size=\"6625280\"] \n  6 -> 12 [size =\"6625280\"]\n  6 -> 14 [size =\"6625280\"]\n  6 -> 15 [size =\"6625280\"]\n  6 -> 15 [size =\"6625280\"]\n  6 -> 16 [size =\"6625280\"]\n  6 -> 17 [size =\"6625280\"]\n  7 [size=\"13811200\", alpha=\"0.20\", expect_size=\"5524480\"] \n  7 -> 12 [size =\"5524480\"]\n  7 -> 15 [size =\"5524480\"]\n  7 -> 16 [size =\"5524480\"]\n  7 -> 17 [size =\"5524480\"]\n  8 [size=\"27238400\", alpha=\"0.18\", expect_size=\"10895360\"] \n  8 -> 10 [size =\"10895360\"]\n  8 -> 14 [size =\"10895360\"]\n  8 -> 15 [size =\"10895360\"]\n  8 -> 17 [size =\"10895360\"]\n  8 -> 18 [size =\"10895360\"]\n  9 [size=\"97894400\", alpha=\"0.04\", expect_size=\"39157760\"] \n  9 -> 10 [size =\"39157760\"]\n  9 -> 14 [size =\"39157760\"]\n  9 -> 15 [size =\"39157760\"]\n  9 -> 17 [size =\"39157760\"]\n  9 -> 18 [size =\"39157760\"]\n  9 -> 20 [size =\"39157760\"]\n  10 [size=\"29191680\", alpha=\"0.08\", expect_size=\"11676672\"] \n  10 -> 22 [size =\"11676672\"]\n  10 -> 24 [size =\"11676672\"]\n  11 [size=\"130355200\", alpha=\"0.08\", expect_size=\"52142080\"] \n  11 -> 24 [size =\"52142080\"]\n  12 [size=\"114222080\", alpha=\"0.06\", expect_size=\"45688832\"] \n  12 -> 21 [size =\"45688832\"]\n  12 -> 23 [size =\"45688832\"]\n  12 -> 25 [size =\"45688832\"]\n  13 [size=\"123048960\", alpha=\"0.02\", expect_size=\"49219584\"] \n  13 -> 21 [size =\"49219584\"]\n  13 -> 23 [size =\"49219584\"]\n  14 [size=\"15784960\", alpha=\"0.14\", expect_size=\"6313984\"] \n  14 -> 23 [size =\"6313984\"]\n  14 -> 24 [size =\"6313984\"]\n  15 [size=\"94960640\", alpha=\"0.02\", expect_size=\"37984256\"] \n  15 -> 23 [size =\"37984256\"]\n  15 -> 24 [size =\"37984256\"]\n  15 -> 25 [size =\"37984256\"]\n  15 -> 26 [size =\"37984256\"]\n  16 [size=\"18035200\", alpha=\"0.09\", expect_size=\"7214080\"] \n  16 -> 21 [size =\"7214080\"]\n  16 -> 23 [size =\"7214080\"]\n  16 -> 24 [size =\"7214080\"]\n  17 [size=\"57771520\", alpha=\"0.09\", expect_size=\"23108608\"] \n  17 -> 24 [size =\"23108608\"]\n  18 [size=\"57187840\", alpha=\"0.15\", expect_size=\"22875136\"] \n  18 -> 23 [size =\"22875136\"]\n  18 -> 24 [size =\"22875136\"]\n  19 [size=\"43563520\", alpha=\"0.05\", expect_size=\"17425408\"] \n  19 -> 21 [size =\"17425408\"]\n  19 -> 22 [size =\"17425408\"]\n  19 -> 24 [size =\"17425408\"]\n  19 -> 25 [size =\"17425408\"]\n  20 [size=\"67363840\", alpha=\"0.16\", expect_size=\"26945536\"] \n  20 -> 24 [size =\"26945536\"]\n  20 -> 25 [size =\"26945536\"]\n  21 [size=\"116986880\", alpha=\"0.09\", expect_size=\"46794752\"] \n  21 -> 27 [size =\"46794752\"]\n  21 -> 29 [size =\"46794752\"]\n  21 -> 30 [size =\"46794752\"]\n  21 -> 33 [size =\"46794752\"]\n  22 [size=\"43317760\", alpha=\"0.02\", expect_size=\"17327104\"] \n  22 -> 27 [size =\"17327104\"]\n  22 -> 29 [size =\"17327104\"]\n  22 -> 30 [size =\"17327104\"]\n  22 -> 31 [size =\"17327104\"]\n  22 -> 32 [size =\"17327104\"]\n  22 -> 33 [size =\"17327104\"]\n  23 [size=\"76288000\", alpha=\"0.10\", expect_size=\"30515200\"] \n  23 -> 27 [size =\"30515200\"]\n  23 -> 30 [size =\"30515200\"]\n  23 -> 31 [size =\"30515200\"]\n  23 -> 32 [size =\"30515200\"]\n  23 -> 32 [size =\"30515200\"]\n  24 [size=\"90301440\", alpha=\"0.13\", expect_size=\"36120576\"] \n  24 -> 27 [size =\"36120576\"]\n  24 -> 30 [size =\"36120576\"]\n  24 -> 32 [size =\"36120576\"]\n  25 [size=\"52357120\", alpha=\"0.05\", expect_size=\"20942848\"] \n  25 -> 27 [size =\"20942848\"]\n  25 -> 28 [size =\"20942848\"]\n  25 -> 30 [size =\"20942848\"]\n  25 -> 31 [size =\"20942848\"]\n  25 -> 33 [size =\"20942848\"]\n  25 -> 34 [size =\"20942848\"]\n  26 [size=\"64637440\", alpha=\"0.18\", expect_size=\"25854976\"] \n  26 -> 27 [size =\"25854976\"]\n  26 -> 30 [size =\"25854976\"]\n  27 [size=\"118210560\", alpha=\"0.11\", expect_size=\"47284224\"] \n  28 [size=\"54374400\", alpha=\"0.06\", expect_size=\"21749760\"] \n  29 [size=\"26572800\", alpha=\"0.16\", expect_size=\"10629120\"] \n  29 -> 35 [size =\"10629120\"]\n  30 [size=\"56862720\", alpha=\"0.09\", expect_size=\"22745088\"] \n  31 [size=\"32227840\", alpha=\"0.01\", expect_size=\"12891136\"] \n  31 -> 35 [size =\"12891136\"]\n  32 [size=\"84467200\", alpha=\"0.11\", expect_size=\"33786880\"] \n  32 -> 35 [size =\"33786880\"]\n  33 [size=\"93736960\", alpha=\"0.19\", expect_size=\"37494784\"] \n  33 -> 35 [size =\"37494784\"]\n  34 [size=\"31948800\", alpha=\"0.08\", expect_size=\"12779520\"] \n  34 -> 35 [size =\"12779520\"]\n  35 [size=\"106780160\", alpha=\"0.10\", expect_size=\"42712064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86319104\", alpha=\"0.03\", expect_size=\"43159552\"] \n  1 -> 2 [size =\"43159552\"]\n  2 [size=\"81582080\", alpha=\"0.04\", expect_size=\"40791040\"] \n  2 -> 3 [size =\"40791040\"]\n  3 [size=\"42854400\", alpha=\"0.07\", expect_size=\"21427200\"] \n  3 -> 4 [size =\"21427200\"]\n  4 [size=\"13541376\", alpha=\"0.16\", expect_size=\"6770688\"] \n  4 -> 5 [size =\"6770688\"]\n  5 [size=\"16257024\", alpha=\"0.03\", expect_size=\"8128512\"] \n  5 -> 6 [size =\"8128512\"]\n  6 [size=\"79026176\", alpha=\"0.02\", expect_size=\"39513088\"] \n  6 -> 7 [size =\"39513088\"]\n  7 [size=\"101222400\", alpha=\"0.01\", expect_size=\"50611200\"] \n  7 -> 8 [size =\"50611200\"]\n  8 [size=\"96077824\", alpha=\"0.05\", expect_size=\"48038912\"] \n  8 -> 9 [size =\"48038912\"]\n  9 [size=\"101787648\", alpha=\"0.10\", expect_size=\"50893824\"] \n  9 -> 10 [size =\"50893824\"]\n  10 [size=\"16248832\", alpha=\"0.07\", expect_size=\"8124416\"] \n  10 -> 11 [size =\"8124416\"]\n  11 [size=\"11704320\", alpha=\"0.16\", expect_size=\"5852160\"] \n  11 -> 12 [size =\"5852160\"]\n  12 [size=\"23781376\", alpha=\"0.06\", expect_size=\"11890688\"] \n  12 -> 13 [size =\"11890688\"]\n  13 [size=\"42715136\", alpha=\"0.09\", expect_size=\"21357568\"] \n  13 -> 14 [size =\"21357568\"]\n  14 [size=\"75001856\", alpha=\"0.06\", expect_size=\"37500928\"] \n  14 -> 15 [size =\"37500928\"]\n  15 [size=\"58083328\", alpha=\"0.03\", expect_size=\"29041664\"] \n  15 -> 16 [size =\"29041664\"]\n  16 [size=\"70645760\", alpha=\"0.13\", expect_size=\"35322880\"] \n  16 -> 17 [size =\"35322880\"]\n  17 [size=\"79345664\", alpha=\"0.18\", expect_size=\"39672832\"] \n  17 -> 18 [size =\"39672832\"]\n  18 [size=\"84736000\", alpha=\"0.04\", expect_size=\"42368000\"] \n  18 -> 19 [size =\"42368000\"]\n  19 [size=\"14434304\", alpha=\"0.16\", expect_size=\"7217152\"] \n  19 -> 20 [size =\"7217152\"]\n  20 [size=\"59867136\", alpha=\"0.11\", expect_size=\"29933568\"] \n  20 -> 21 [size =\"29933568\"]\n  21 [size=\"93392896\", alpha=\"0.01\", expect_size=\"46696448\"] \n  21 -> 22 [size =\"46696448\"]\n  22 [size=\"73402368\", alpha=\"0.06\", expect_size=\"36701184\"] \n  22 -> 23 [size =\"36701184\"]\n  23 [size=\"103229440\", alpha=\"0.19\", expect_size=\"51614720\"] \n  23 -> 24 [size =\"51614720\"]\n  24 [size=\"49360896\", alpha=\"0.12\", expect_size=\"24680448\"] \n  24 -> 25 [size =\"24680448\"]\n  25 [size=\"76271616\", alpha=\"0.06\", expect_size=\"38135808\"] \n  25 -> 26 [size =\"38135808\"]\n  26 [size=\"88305664\", alpha=\"0.14\", expect_size=\"44152832\"] \n  26 -> 27 [size =\"44152832\"]\n  27 [size=\"54468608\", alpha=\"0.02\", expect_size=\"27234304\"] \n  27 -> 28 [size =\"27234304\"]\n  28 [size=\"45031424\", alpha=\"0.08\", expect_size=\"22515712\"] \n  28 -> 29 [size =\"22515712\"]\n  29 [size=\"63225856\", alpha=\"0.14\", expect_size=\"31612928\"] \n  29 -> 30 [size =\"31612928\"]\n  30 [size=\"46708736\", alpha=\"0.00\", expect_size=\"23354368\"] \n  30 -> 31 [size =\"23354368\"]\n  31 [size=\"97480704\", alpha=\"0.07\", expect_size=\"48740352\"] \n  31 -> 32 [size =\"48740352\"]\n  32 [size=\"102631424\", alpha=\"0.17\", expect_size=\"51315712\"] \n  32 -> 33 [size =\"51315712\"]\n  33 [size=\"38885376\", alpha=\"0.13\", expect_size=\"19442688\"] \n  33 -> 34 [size =\"19442688\"]\n  34 [size=\"32987136\", alpha=\"0.04\", expect_size=\"16493568\"] \n  34 -> 35 [size =\"16493568\"]\n  35 [size=\"87990272\", alpha=\"0.04\", expect_size=\"43995136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56756907\", alpha=\"0.02\", expect_size=\"17027072\"] \n  1 -> 23 [size =\"17027072\"]\n  1 -> 24 [size =\"17027072\"]\n  1 -> 25 [size =\"17027072\"]\n  1 -> 26 [size =\"17027072\"]\n  1 -> 29 [size =\"17027072\"]\n  1 -> 30 [size =\"17027072\"]\n  1 -> 34 [size =\"17027072\"]\n  2 [size=\"174301867\", alpha=\"0.11\", expect_size=\"52290560\"] \n  2 -> 24 [size =\"52290560\"]\n  2 -> 24 [size =\"52290560\"]\n  2 -> 25 [size =\"52290560\"]\n  2 -> 28 [size =\"52290560\"]\n  2 -> 32 [size =\"52290560\"]\n  2 -> 34 [size =\"52290560\"]\n  2 -> 35 [size =\"52290560\"]\n  3 [size=\"49186133\", alpha=\"0.12\", expect_size=\"14755840\"] \n  3 -> 24 [size =\"14755840\"]\n  3 -> 25 [size =\"14755840\"]\n  3 -> 28 [size =\"14755840\"]\n  3 -> 29 [size =\"14755840\"]\n  3 -> 30 [size =\"14755840\"]\n  3 -> 32 [size =\"14755840\"]\n  3 -> 34 [size =\"14755840\"]\n  4 [size=\"159641600\", alpha=\"0.06\", expect_size=\"47892480\"] \n  4 -> 24 [size =\"47892480\"]\n  4 -> 25 [size =\"47892480\"]\n  4 -> 26 [size =\"47892480\"]\n  4 -> 28 [size =\"47892480\"]\n  4 -> 30 [size =\"47892480\"]\n  4 -> 31 [size =\"47892480\"]\n  4 -> 34 [size =\"47892480\"]\n  4 -> 35 [size =\"47892480\"]\n  5 [size=\"52073813\", alpha=\"0.08\", expect_size=\"15622144\"] \n  5 -> 23 [size =\"15622144\"]\n  5 -> 24 [size =\"15622144\"]\n  5 -> 25 [size =\"15622144\"]\n  5 -> 26 [size =\"15622144\"]\n  5 -> 28 [size =\"15622144\"]\n  5 -> 31 [size =\"15622144\"]\n  5 -> 34 [size =\"15622144\"]\n  6 [size=\"97341440\", alpha=\"0.10\", expect_size=\"29202432\"] \n  6 -> 24 [size =\"29202432\"]\n  6 -> 24 [size =\"29202432\"]\n  6 -> 25 [size =\"29202432\"]\n  6 -> 28 [size =\"29202432\"]\n  6 -> 32 [size =\"29202432\"]\n  6 -> 34 [size =\"29202432\"]\n  6 -> 34 [size =\"29202432\"]\n  7 [size=\"144551253\", alpha=\"0.13\", expect_size=\"43365376\"] \n  7 -> 25 [size =\"43365376\"]\n  7 -> 26 [size =\"43365376\"]\n  7 -> 30 [size =\"43365376\"]\n  7 -> 31 [size =\"43365376\"]\n  7 -> 32 [size =\"43365376\"]\n  7 -> 34 [size =\"43365376\"]\n  7 -> 35 [size =\"43365376\"]\n  8 [size=\"92511573\", alpha=\"0.08\", expect_size=\"27753472\"] \n  8 -> 25 [size =\"27753472\"]\n  8 -> 26 [size =\"27753472\"]\n  8 -> 30 [size =\"27753472\"]\n  8 -> 31 [size =\"27753472\"]\n  8 -> 34 [size =\"27753472\"]\n  9 [size=\"165700267\", alpha=\"0.05\", expect_size=\"49710080\"] \n  9 -> 25 [size =\"49710080\"]\n  9 -> 26 [size =\"49710080\"]\n  9 -> 28 [size =\"49710080\"]\n  9 -> 30 [size =\"49710080\"]\n  9 -> 34 [size =\"49710080\"]\n  10 [size=\"167512747\", alpha=\"0.10\", expect_size=\"50253824\"] \n  10 -> 24 [size =\"50253824\"]\n  10 -> 25 [size =\"50253824\"]\n  10 -> 27 [size =\"50253824\"]\n  10 -> 34 [size =\"50253824\"]\n  10 -> 34 [size =\"50253824\"]\n  11 [size=\"20520960\", alpha=\"0.20\", expect_size=\"6156288\"] \n  11 -> 24 [size =\"6156288\"]\n  11 -> 25 [size =\"6156288\"]\n  11 -> 28 [size =\"6156288\"]\n  11 -> 30 [size =\"6156288\"]\n  11 -> 33 [size =\"6156288\"]\n  11 -> 34 [size =\"6156288\"]\n  12 [size=\"34433707\", alpha=\"0.18\", expect_size=\"10330112\"] \n  12 -> 24 [size =\"10330112\"]\n  12 -> 25 [size =\"10330112\"]\n  12 -> 28 [size =\"10330112\"]\n  12 -> 30 [size =\"10330112\"]\n  12 -> 34 [size =\"10330112\"]\n  12 -> 35 [size =\"10330112\"]\n  13 [size=\"118923947\", alpha=\"0.12\", expect_size=\"35677184\"] \n  13 -> 23 [size =\"35677184\"]\n  13 -> 24 [size =\"35677184\"]\n  13 -> 25 [size =\"35677184\"]\n  13 -> 26 [size =\"35677184\"]\n  13 -> 28 [size =\"35677184\"]\n  13 -> 30 [size =\"35677184\"]\n  13 -> 34 [size =\"35677184\"]\n  14 [size=\"56876373\", alpha=\"0.11\", expect_size=\"17062912\"] \n  14 -> 24 [size =\"17062912\"]\n  14 -> 25 [size =\"17062912\"]\n  14 -> 26 [size =\"17062912\"]\n  14 -> 26 [size =\"17062912\"]\n  14 -> 28 [size =\"17062912\"]\n  14 -> 29 [size =\"17062912\"]\n  14 -> 30 [size =\"17062912\"]\n  14 -> 32 [size =\"17062912\"]\n  15 [size=\"102403413\", alpha=\"0.09\", expect_size=\"30721024\"] \n  15 -> 25 [size =\"30721024\"]\n  15 -> 26 [size =\"30721024\"]\n  15 -> 28 [size =\"30721024\"]\n  15 -> 30 [size =\"30721024\"]\n  15 -> 31 [size =\"30721024\"]\n  16 [size=\"163430400\", alpha=\"0.13\", expect_size=\"49029120\"] \n  16 -> 24 [size =\"49029120\"]\n  16 -> 26 [size =\"49029120\"]\n  16 -> 28 [size =\"49029120\"]\n  16 -> 30 [size =\"49029120\"]\n  16 -> 31 [size =\"49029120\"]\n  16 -> 32 [size =\"49029120\"]\n  16 -> 34 [size =\"49029120\"]\n  17 [size=\"82305707\", alpha=\"0.04\", expect_size=\"24691712\"] \n  17 -> 24 [size =\"24691712\"]\n  17 -> 25 [size =\"24691712\"]\n  17 -> 26 [size =\"24691712\"]\n  17 -> 27 [size =\"24691712\"]\n  17 -> 28 [size =\"24691712\"]\n  17 -> 30 [size =\"24691712\"]\n  17 -> 31 [size =\"24691712\"]\n  17 -> 32 [size =\"24691712\"]\n  18 [size=\"24978773\", alpha=\"0.12\", expect_size=\"7493632\"] \n  18 -> 24 [size =\"7493632\"]\n  18 -> 26 [size =\"7493632\"]\n  18 -> 26 [size =\"7493632\"]\n  18 -> 27 [size =\"7493632\"]\n  18 -> 30 [size =\"7493632\"]\n  18 -> 31 [size =\"7493632\"]\n  18 -> 31 [size =\"7493632\"]\n  19 [size=\"87565653\", alpha=\"0.14\", expect_size=\"26269696\"] \n  19 -> 24 [size =\"26269696\"]\n  19 -> 25 [size =\"26269696\"]\n  19 -> 26 [size =\"26269696\"]\n  19 -> 30 [size =\"26269696\"]\n  19 -> 34 [size =\"26269696\"]\n  20 [size=\"125044053\", alpha=\"0.13\", expect_size=\"37513216\"] \n  20 -> 24 [size =\"37513216\"]\n  20 -> 25 [size =\"37513216\"]\n  20 -> 26 [size =\"37513216\"]\n  20 -> 30 [size =\"37513216\"]\n  20 -> 31 [size =\"37513216\"]\n  20 -> 34 [size =\"37513216\"]\n  21 [size=\"44308480\", alpha=\"0.17\", expect_size=\"13292544\"] \n  21 -> 24 [size =\"13292544\"]\n  21 -> 30 [size =\"13292544\"]\n  22 [size=\"41693867\", alpha=\"0.01\", expect_size=\"12508160\"] \n  22 -> 23 [size =\"12508160\"]\n  22 -> 24 [size =\"12508160\"]\n  22 -> 25 [size =\"12508160\"]\n  22 -> 26 [size =\"12508160\"]\n  22 -> 28 [size =\"12508160\"]\n  22 -> 30 [size =\"12508160\"]\n  22 -> 31 [size =\"12508160\"]\n  22 -> 34 [size =\"12508160\"]\n  23 [size=\"22705493\", alpha=\"0.09\", expect_size=\"6811648\"] \n  24 [size=\"119988907\", alpha=\"0.15\", expect_size=\"35996672\"] \n  25 [size=\"50636800\", alpha=\"0.05\", expect_size=\"15191040\"] \n  26 [size=\"121818453\", alpha=\"0.05\", expect_size=\"36545536\"] \n  27 [size=\"66140160\", alpha=\"0.02\", expect_size=\"19842048\"] \n  28 [size=\"98672640\", alpha=\"0.08\", expect_size=\"29601792\"] \n  29 [size=\"39321600\", alpha=\"0.13\", expect_size=\"11796480\"] \n  30 [size=\"149626880\", alpha=\"0.18\", expect_size=\"44888064\"] \n  31 [size=\"94098773\", alpha=\"0.02\", expect_size=\"28229632\"] \n  32 [size=\"69307733\", alpha=\"0.09\", expect_size=\"20792320\"] \n  33 [size=\"74789547\", alpha=\"0.08\", expect_size=\"22436864\"] \n  34 [size=\"142257493\", alpha=\"0.13\", expect_size=\"42677248\"] \n  35 [size=\"99307520\", alpha=\"0.08\", expect_size=\"29792256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114629120\", alpha=\"0.09\", expect_size=\"45851648\"] \n  1 -> 24 [size =\"45851648\"]\n  1 -> 28 [size =\"45851648\"]\n  1 -> 30 [size =\"45851648\"]\n  1 -> 31 [size =\"45851648\"]\n  1 -> 32 [size =\"45851648\"]\n  1 -> 34 [size =\"45851648\"]\n  2 [size=\"124638720\", alpha=\"0.13\", expect_size=\"49855488\"] \n  2 -> 31 [size =\"49855488\"]\n  2 -> 32 [size =\"49855488\"]\n  2 -> 33 [size =\"49855488\"]\n  2 -> 34 [size =\"49855488\"]\n  3 [size=\"50949120\", alpha=\"0.03\", expect_size=\"20379648\"] \n  3 -> 24 [size =\"20379648\"]\n  3 -> 25 [size =\"20379648\"]\n  3 -> 28 [size =\"20379648\"]\n  3 -> 30 [size =\"20379648\"]\n  3 -> 32 [size =\"20379648\"]\n  3 -> 33 [size =\"20379648\"]\n  3 -> 34 [size =\"20379648\"]\n  4 [size=\"41139200\", alpha=\"0.08\", expect_size=\"16455680\"] \n  4 -> 25 [size =\"16455680\"]\n  4 -> 26 [size =\"16455680\"]\n  4 -> 28 [size =\"16455680\"]\n  4 -> 30 [size =\"16455680\"]\n  4 -> 32 [size =\"16455680\"]\n  5 [size=\"97492480\", alpha=\"0.05\", expect_size=\"38996992\"] \n  5 -> 24 [size =\"38996992\"]\n  5 -> 25 [size =\"38996992\"]\n  5 -> 26 [size =\"38996992\"]\n  5 -> 27 [size =\"38996992\"]\n  5 -> 29 [size =\"38996992\"]\n  5 -> 30 [size =\"38996992\"]\n  5 -> 32 [size =\"38996992\"]\n  5 -> 34 [size =\"38996992\"]\n  6 [size=\"19141120\", alpha=\"0.17\", expect_size=\"7656448\"] \n  6 -> 26 [size =\"7656448\"]\n  6 -> 29 [size =\"7656448\"]\n  7 [size=\"127621120\", alpha=\"0.01\", expect_size=\"51048448\"] \n  7 -> 25 [size =\"51048448\"]\n  7 -> 26 [size =\"51048448\"]\n  7 -> 28 [size =\"51048448\"]\n  7 -> 29 [size =\"51048448\"]\n  7 -> 32 [size =\"51048448\"]\n  7 -> 34 [size =\"51048448\"]\n  8 [size=\"41582080\", alpha=\"0.08\", expect_size=\"16632832\"] \n  8 -> 28 [size =\"16632832\"]\n  8 -> 31 [size =\"16632832\"]\n  8 -> 32 [size =\"16632832\"]\n  9 [size=\"58977280\", alpha=\"0.09\", expect_size=\"23590912\"] \n  9 -> 29 [size =\"23590912\"]\n  9 -> 31 [size =\"23590912\"]\n  9 -> 32 [size =\"23590912\"]\n  9 -> 33 [size =\"23590912\"]\n  10 [size=\"26598400\", alpha=\"0.19\", expect_size=\"10639360\"] \n  10 -> 25 [size =\"10639360\"]\n  10 -> 28 [size =\"10639360\"]\n  10 -> 29 [size =\"10639360\"]\n  10 -> 31 [size =\"10639360\"]\n  10 -> 32 [size =\"10639360\"]\n  10 -> 33 [size =\"10639360\"]\n  10 -> 35 [size =\"10639360\"]\n  11 [size=\"14645760\", alpha=\"0.11\", expect_size=\"5858304\"] \n  11 -> 24 [size =\"5858304\"]\n  11 -> 28 [size =\"5858304\"]\n  11 -> 29 [size =\"5858304\"]\n  11 -> 30 [size =\"5858304\"]\n  11 -> 32 [size =\"5858304\"]\n  11 -> 33 [size =\"5858304\"]\n  11 -> 34 [size =\"5858304\"]\n  11 -> 35 [size =\"5858304\"]\n  12 [size=\"69504000\", alpha=\"0.14\", expect_size=\"27801600\"] \n  12 -> 24 [size =\"27801600\"]\n  12 -> 25 [size =\"27801600\"]\n  12 -> 29 [size =\"27801600\"]\n  12 -> 30 [size =\"27801600\"]\n  12 -> 32 [size =\"27801600\"]\n  13 [size=\"26734080\", alpha=\"0.12\", expect_size=\"10693632\"] \n  13 -> 24 [size =\"10693632\"]\n  13 -> 25 [size =\"10693632\"]\n  13 -> 26 [size =\"10693632\"]\n  13 -> 30 [size =\"10693632\"]\n  13 -> 32 [size =\"10693632\"]\n  14 [size=\"42859520\", alpha=\"0.17\", expect_size=\"17143808\"] \n  14 -> 24 [size =\"17143808\"]\n  14 -> 26 [size =\"17143808\"]\n  14 -> 30 [size =\"17143808\"]\n  14 -> 32 [size =\"17143808\"]\n  15 [size=\"90949120\", alpha=\"0.04\", expect_size=\"36379648\"] \n  15 -> 27 [size =\"36379648\"]\n  15 -> 28 [size =\"36379648\"]\n  15 -> 30 [size =\"36379648\"]\n  15 -> 32 [size =\"36379648\"]\n  16 [size=\"122647040\", alpha=\"0.06\", expect_size=\"49058816\"] \n  16 -> 24 [size =\"49058816\"]\n  16 -> 27 [size =\"49058816\"]\n  16 -> 28 [size =\"49058816\"]\n  16 -> 30 [size =\"49058816\"]\n  16 -> 31 [size =\"49058816\"]\n  16 -> 35 [size =\"49058816\"]\n  17 [size=\"102443520\", alpha=\"0.10\", expect_size=\"40977408\"] \n  17 -> 25 [size =\"40977408\"]\n  17 -> 28 [size =\"40977408\"]\n  17 -> 29 [size =\"40977408\"]\n  17 -> 31 [size =\"40977408\"]\n  17 -> 32 [size =\"40977408\"]\n  17 -> 34 [size =\"40977408\"]\n  17 -> 35 [size =\"40977408\"]\n  18 [size=\"110213120\", alpha=\"0.18\", expect_size=\"44085248\"] \n  18 -> 24 [size =\"44085248\"]\n  18 -> 25 [size =\"44085248\"]\n  18 -> 26 [size =\"44085248\"]\n  18 -> 28 [size =\"44085248\"]\n  18 -> 29 [size =\"44085248\"]\n  18 -> 32 [size =\"44085248\"]\n  18 -> 33 [size =\"44085248\"]\n  18 -> 35 [size =\"44085248\"]\n  19 [size=\"37760000\", alpha=\"0.07\", expect_size=\"15104000\"] \n  19 -> 24 [size =\"15104000\"]\n  19 -> 29 [size =\"15104000\"]\n  19 -> 30 [size =\"15104000\"]\n  19 -> 33 [size =\"15104000\"]\n  19 -> 35 [size =\"15104000\"]\n  20 [size=\"91778560\", alpha=\"0.02\", expect_size=\"36711424\"] \n  20 -> 25 [size =\"36711424\"]\n  20 -> 29 [size =\"36711424\"]\n  20 -> 31 [size =\"36711424\"]\n  20 -> 32 [size =\"36711424\"]\n  20 -> 34 [size =\"36711424\"]\n  21 [size=\"83430400\", alpha=\"0.13\", expect_size=\"33372160\"] \n  21 -> 28 [size =\"33372160\"]\n  21 -> 32 [size =\"33372160\"]\n  22 [size=\"33090560\", alpha=\"0.03\", expect_size=\"13236224\"] \n  22 -> 24 [size =\"13236224\"]\n  22 -> 31 [size =\"13236224\"]\n  22 -> 32 [size =\"13236224\"]\n  22 -> 33 [size =\"13236224\"]\n  22 -> 34 [size =\"13236224\"]\n  23 [size=\"115614720\", alpha=\"0.20\", expect_size=\"46245888\"] \n  23 -> 26 [size =\"46245888\"]\n  23 -> 31 [size =\"46245888\"]\n  23 -> 32 [size =\"46245888\"]\n  23 -> 33 [size =\"46245888\"]\n  24 [size=\"70535680\", alpha=\"0.01\", expect_size=\"28214272\"] \n  25 [size=\"55490560\", alpha=\"0.17\", expect_size=\"22196224\"] \n  26 [size=\"78906880\", alpha=\"0.14\", expect_size=\"31562752\"] \n  27 [size=\"113597440\", alpha=\"0.10\", expect_size=\"45438976\"] \n  28 [size=\"52474880\", alpha=\"0.11\", expect_size=\"20989952\"] \n  29 [size=\"38154240\", alpha=\"0.00\", expect_size=\"15261696\"] \n  30 [size=\"82268160\", alpha=\"0.11\", expect_size=\"32907264\"] \n  31 [size=\"91944960\", alpha=\"0.02\", expect_size=\"36777984\"] \n  32 [size=\"50741760\", alpha=\"0.03\", expect_size=\"20296704\"] \n  33 [size=\"70192640\", alpha=\"0.07\", expect_size=\"28077056\"] \n  34 [size=\"70172160\", alpha=\"0.15\", expect_size=\"28068864\"] \n  35 [size=\"78720000\", alpha=\"0.16\", expect_size=\"31488000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63608320\", alpha=\"0.03\", expect_size=\"25443328\"] \n  1 -> 4 [size =\"25443328\"]\n  1 -> 5 [size =\"25443328\"]\n  1 -> 8 [size =\"25443328\"]\n  1 -> 9 [size =\"25443328\"]\n  2 [size=\"19842560\", alpha=\"0.10\", expect_size=\"7937024\"] \n  2 -> 4 [size =\"7937024\"]\n  2 -> 5 [size =\"7937024\"]\n  2 -> 6 [size =\"7937024\"]\n  2 -> 7 [size =\"7937024\"]\n  2 -> 8 [size =\"7937024\"]\n  3 [size=\"35924480\", alpha=\"0.12\", expect_size=\"14369792\"] \n  3 -> 4 [size =\"14369792\"]\n  3 -> 5 [size =\"14369792\"]\n  3 -> 7 [size =\"14369792\"]\n  3 -> 8 [size =\"14369792\"]\n  3 -> 9 [size =\"14369792\"]\n  4 [size=\"21785600\", alpha=\"0.13\", expect_size=\"8714240\"] \n  4 -> 10 [size =\"8714240\"]\n  4 -> 13 [size =\"8714240\"]\n  5 [size=\"84848640\", alpha=\"0.09\", expect_size=\"33939456\"] \n  5 -> 11 [size =\"33939456\"]\n  5 -> 12 [size =\"33939456\"]\n  6 [size=\"69122560\", alpha=\"0.07\", expect_size=\"27649024\"] \n  6 -> 11 [size =\"27649024\"]\n  6 -> 12 [size =\"27649024\"]\n  7 [size=\"48235520\", alpha=\"0.03\", expect_size=\"19294208\"] \n  7 -> 11 [size =\"19294208\"]\n  7 -> 12 [size =\"19294208\"]\n  8 [size=\"40151040\", alpha=\"0.06\", expect_size=\"16060416\"] \n  8 -> 11 [size =\"16060416\"]\n  9 [size=\"125337600\", alpha=\"0.12\", expect_size=\"50135040\"] \n  9 -> 13 [size =\"50135040\"]\n  10 [size=\"46274560\", alpha=\"0.09\", expect_size=\"18509824\"] \n  10 -> 14 [size =\"18509824\"]\n  10 -> 16 [size =\"18509824\"]\n  11 [size=\"13655040\", alpha=\"0.00\", expect_size=\"5462016\"] \n  11 -> 14 [size =\"5462016\"]\n  11 -> 15 [size =\"5462016\"]\n  11 -> 16 [size =\"5462016\"]\n  12 [size=\"31436800\", alpha=\"0.11\", expect_size=\"12574720\"] \n  12 -> 14 [size =\"12574720\"]\n  12 -> 16 [size =\"12574720\"]\n  12 -> 16 [size =\"12574720\"]\n  13 [size=\"91043840\", alpha=\"0.16\", expect_size=\"36417536\"] \n  13 -> 14 [size =\"36417536\"]\n  14 [size=\"46776320\", alpha=\"0.16\", expect_size=\"18710528\"] \n  14 -> 17 [size =\"18710528\"]\n  14 -> 20 [size =\"18710528\"]\n  15 [size=\"122718720\", alpha=\"0.01\", expect_size=\"49087488\"] \n  15 -> 18 [size =\"49087488\"]\n  15 -> 19 [size =\"49087488\"]\n  15 -> 20 [size =\"49087488\"]\n  16 [size=\"59146240\", alpha=\"0.08\", expect_size=\"23658496\"] \n  16 -> 20 [size =\"23658496\"]\n  17 [size=\"98301440\", alpha=\"0.16\", expect_size=\"39320576\"] \n  17 -> 21 [size =\"39320576\"]\n  17 -> 23 [size =\"39320576\"]\n  17 -> 24 [size =\"39320576\"]\n  17 -> 25 [size =\"39320576\"]\n  18 [size=\"113397760\", alpha=\"0.14\", expect_size=\"45359104\"] \n  18 -> 23 [size =\"45359104\"]\n  18 -> 26 [size =\"45359104\"]\n  19 [size=\"32353280\", alpha=\"0.02\", expect_size=\"12941312\"] \n  19 -> 23 [size =\"12941312\"]\n  19 -> 24 [size =\"12941312\"]\n  19 -> 26 [size =\"12941312\"]\n  20 [size=\"102382080\", alpha=\"0.08\", expect_size=\"40952832\"] \n  20 -> 22 [size =\"40952832\"]\n  20 -> 23 [size =\"40952832\"]\n  20 -> 24 [size =\"40952832\"]\n  20 -> 26 [size =\"40952832\"]\n  21 [size=\"36052480\", alpha=\"0.02\", expect_size=\"14420992\"] \n  21 -> 28 [size =\"14420992\"]\n  21 -> 30 [size =\"14420992\"]\n  21 -> 31 [size =\"14420992\"]\n  21 -> 32 [size =\"14420992\"]\n  22 [size=\"38451200\", alpha=\"0.17\", expect_size=\"15380480\"] \n  22 -> 28 [size =\"15380480\"]\n  22 -> 29 [size =\"15380480\"]\n  22 -> 30 [size =\"15380480\"]\n  22 -> 32 [size =\"15380480\"]\n  23 [size=\"105886720\", alpha=\"0.16\", expect_size=\"42354688\"] \n  23 -> 28 [size =\"42354688\"]\n  23 -> 29 [size =\"42354688\"]\n  23 -> 30 [size =\"42354688\"]\n  23 -> 32 [size =\"42354688\"]\n  24 [size=\"83481600\", alpha=\"0.16\", expect_size=\"33392640\"] \n  24 -> 27 [size =\"33392640\"]\n  24 -> 28 [size =\"33392640\"]\n  24 -> 30 [size =\"33392640\"]\n  24 -> 31 [size =\"33392640\"]\n  24 -> 32 [size =\"33392640\"]\n  25 [size=\"58004480\", alpha=\"0.09\", expect_size=\"23201792\"] \n  25 -> 27 [size =\"23201792\"]\n  25 -> 28 [size =\"23201792\"]\n  25 -> 29 [size =\"23201792\"]\n  25 -> 31 [size =\"23201792\"]\n  26 [size=\"66373120\", alpha=\"0.11\", expect_size=\"26549248\"] \n  26 -> 28 [size =\"26549248\"]\n  26 -> 30 [size =\"26549248\"]\n  26 -> 32 [size =\"26549248\"]\n  27 [size=\"115445760\", alpha=\"0.19\", expect_size=\"46178304\"] \n  27 -> 33 [size =\"46178304\"]\n  28 [size=\"90626560\", alpha=\"0.12\", expect_size=\"36250624\"] \n  28 -> 33 [size =\"36250624\"]\n  28 -> 34 [size =\"36250624\"]\n  28 -> 35 [size =\"36250624\"]\n  29 [size=\"56983040\", alpha=\"0.04\", expect_size=\"22793216\"] \n  29 -> 33 [size =\"22793216\"]\n  30 [size=\"69160960\", alpha=\"0.01\", expect_size=\"27664384\"] \n  31 [size=\"113484800\", alpha=\"0.18\", expect_size=\"45393920\"] \n  32 [size=\"122490880\", alpha=\"0.19\", expect_size=\"48996352\"] \n  33 [size=\"102917120\", alpha=\"0.13\", expect_size=\"41166848\"] \n  34 [size=\"77580800\", alpha=\"0.12\", expect_size=\"31032320\"] \n  35 [size=\"55165440\", alpha=\"0.10\", expect_size=\"22066176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127293440\", alpha=\"0.01\", expect_size=\"38188032\"] \n  1 -> 18 [size =\"38188032\"]\n  1 -> 19 [size =\"38188032\"]\n  1 -> 22 [size =\"38188032\"]\n  2 [size=\"66867200\", alpha=\"0.05\", expect_size=\"20060160\"] \n  2 -> 17 [size =\"20060160\"]\n  2 -> 18 [size =\"20060160\"]\n  2 -> 19 [size =\"20060160\"]\n  2 -> 20 [size =\"20060160\"]\n  3 [size=\"44274347\", alpha=\"0.17\", expect_size=\"13282304\"] \n  3 -> 17 [size =\"13282304\"]\n  3 -> 20 [size =\"13282304\"]\n  3 -> 22 [size =\"13282304\"]\n  4 [size=\"113380693\", alpha=\"0.03\", expect_size=\"34014208\"] \n  4 -> 18 [size =\"34014208\"]\n  4 -> 21 [size =\"34014208\"]\n  4 -> 22 [size =\"34014208\"]\n  5 [size=\"173056000\", alpha=\"0.07\", expect_size=\"51916800\"] \n  5 -> 17 [size =\"51916800\"]\n  6 [size=\"91234987\", alpha=\"0.18\", expect_size=\"27370496\"] \n  6 -> 22 [size =\"27370496\"]\n  7 [size=\"75448320\", alpha=\"0.06\", expect_size=\"22634496\"] \n  7 -> 19 [size =\"22634496\"]\n  7 -> 22 [size =\"22634496\"]\n  8 [size=\"63525547\", alpha=\"0.05\", expect_size=\"19057664\"] \n  8 -> 19 [size =\"19057664\"]\n  8 -> 20 [size =\"19057664\"]\n  9 [size=\"67123200\", alpha=\"0.13\", expect_size=\"20136960\"] \n  9 -> 19 [size =\"20136960\"]\n  10 [size=\"51729067\", alpha=\"0.04\", expect_size=\"15518720\"] \n  10 -> 17 [size =\"15518720\"]\n  10 -> 19 [size =\"15518720\"]\n  10 -> 20 [size =\"15518720\"]\n  11 [size=\"39338667\", alpha=\"0.11\", expect_size=\"11801600\"] \n  11 -> 17 [size =\"11801600\"]\n  11 -> 22 [size =\"11801600\"]\n  12 [size=\"49786880\", alpha=\"0.12\", expect_size=\"14936064\"] \n  12 -> 17 [size =\"14936064\"]\n  12 -> 22 [size =\"14936064\"]\n  13 [size=\"89460053\", alpha=\"0.19\", expect_size=\"26838016\"] \n  13 -> 17 [size =\"26838016\"]\n  13 -> 22 [size =\"26838016\"]\n  14 [size=\"66512213\", alpha=\"0.03\", expect_size=\"19953664\"] \n  14 -> 17 [size =\"19953664\"]\n  14 -> 18 [size =\"19953664\"]\n  14 -> 22 [size =\"19953664\"]\n  15 [size=\"91327147\", alpha=\"0.15\", expect_size=\"27398144\"] \n  15 -> 17 [size =\"27398144\"]\n  15 -> 19 [size =\"27398144\"]\n  15 -> 22 [size =\"27398144\"]\n  16 [size=\"148015787\", alpha=\"0.10\", expect_size=\"44404736\"] \n  16 -> 17 [size =\"44404736\"]\n  16 -> 20 [size =\"44404736\"]\n  16 -> 22 [size =\"44404736\"]\n  17 [size=\"131536213\", alpha=\"0.14\", expect_size=\"39460864\"] \n  17 -> 25 [size =\"39460864\"]\n  17 -> 26 [size =\"39460864\"]\n  17 -> 29 [size =\"39460864\"]\n  17 -> 33 [size =\"39460864\"]\n  17 -> 34 [size =\"39460864\"]\n  18 [size=\"22053547\", alpha=\"0.19\", expect_size=\"6616064\"] \n  18 -> 23 [size =\"6616064\"]\n  18 -> 25 [size =\"6616064\"]\n  18 -> 27 [size =\"6616064\"]\n  18 -> 28 [size =\"6616064\"]\n  18 -> 29 [size =\"6616064\"]\n  19 [size=\"63576747\", alpha=\"0.16\", expect_size=\"19073024\"] \n  19 -> 23 [size =\"19073024\"]\n  19 -> 28 [size =\"19073024\"]\n  19 -> 31 [size =\"19073024\"]\n  19 -> 32 [size =\"19073024\"]\n  20 [size=\"166792533\", alpha=\"0.14\", expect_size=\"50037760\"] \n  20 -> 25 [size =\"50037760\"]\n  20 -> 26 [size =\"50037760\"]\n  20 -> 28 [size =\"50037760\"]\n  20 -> 29 [size =\"50037760\"]\n  20 -> 30 [size =\"50037760\"]\n  20 -> 32 [size =\"50037760\"]\n  20 -> 34 [size =\"50037760\"]\n  21 [size=\"44779520\", alpha=\"0.06\", expect_size=\"13433856\"] \n  21 -> 23 [size =\"13433856\"]\n  21 -> 28 [size =\"13433856\"]\n  21 -> 32 [size =\"13433856\"]\n  21 -> 33 [size =\"13433856\"]\n  22 [size=\"131181227\", alpha=\"0.04\", expect_size=\"39354368\"] \n  22 -> 24 [size =\"39354368\"]\n  22 -> 29 [size =\"39354368\"]\n  22 -> 32 [size =\"39354368\"]\n  23 [size=\"66338133\", alpha=\"0.06\", expect_size=\"19901440\"] \n  24 [size=\"61282987\", alpha=\"0.20\", expect_size=\"18384896\"] \n  25 [size=\"83879253\", alpha=\"0.14\", expect_size=\"25163776\"] \n  26 [size=\"43755520\", alpha=\"0.17\", expect_size=\"13126656\"] \n  26 -> 35 [size =\"13126656\"]\n  27 [size=\"121910613\", alpha=\"0.07\", expect_size=\"36573184\"] \n  27 -> 35 [size =\"36573184\"]\n  28 [size=\"76782933\", alpha=\"0.04\", expect_size=\"23034880\"] \n  28 -> 35 [size =\"23034880\"]\n  29 [size=\"65713493\", alpha=\"0.06\", expect_size=\"19714048\"] \n  29 -> 35 [size =\"19714048\"]\n  30 [size=\"32040960\", alpha=\"0.13\", expect_size=\"9612288\"] \n  30 -> 35 [size =\"9612288\"]\n  31 [size=\"140683947\", alpha=\"0.03\", expect_size=\"42205184\"] \n  32 [size=\"29600427\", alpha=\"0.17\", expect_size=\"8880128\"] \n  32 -> 35 [size =\"8880128\"]\n  33 [size=\"62750720\", alpha=\"0.20\", expect_size=\"18825216\"] \n  33 -> 35 [size =\"18825216\"]\n  34 [size=\"109656747\", alpha=\"0.09\", expect_size=\"32897024\"] \n  35 [size=\"108929707\", alpha=\"0.08\", expect_size=\"32678912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81390933\", alpha=\"0.19\", expect_size=\"24417280\"] \n  1 -> 2 [size =\"24417280\"]\n  2 [size=\"144353280\", alpha=\"0.07\", expect_size=\"43305984\"] \n  2 -> 3 [size =\"43305984\"]\n  3 [size=\"94778027\", alpha=\"0.10\", expect_size=\"28433408\"] \n  3 -> 4 [size =\"28433408\"]\n  4 [size=\"127484587\", alpha=\"0.12\", expect_size=\"38245376\"] \n  4 -> 5 [size =\"38245376\"]\n  5 [size=\"24627200\", alpha=\"0.17\", expect_size=\"7388160\"] \n  5 -> 6 [size =\"7388160\"]\n  6 [size=\"69485227\", alpha=\"0.17\", expect_size=\"20845568\"] \n  6 -> 7 [size =\"20845568\"]\n  7 [size=\"32590507\", alpha=\"0.02\", expect_size=\"9777152\"] \n  7 -> 8 [size =\"9777152\"]\n  8 [size=\"70505813\", alpha=\"0.15\", expect_size=\"21151744\"] \n  8 -> 9 [size =\"21151744\"]\n  9 [size=\"68700160\", alpha=\"0.02\", expect_size=\"20610048\"] \n  9 -> 10 [size =\"20610048\"]\n  10 [size=\"85244587\", alpha=\"0.13\", expect_size=\"25573376\"] \n  10 -> 11 [size =\"25573376\"]\n  11 [size=\"111045973\", alpha=\"0.09\", expect_size=\"33313792\"] \n  11 -> 12 [size =\"33313792\"]\n  12 [size=\"103092907\", alpha=\"0.19\", expect_size=\"30927872\"] \n  12 -> 13 [size =\"30927872\"]\n  13 [size=\"160887467\", alpha=\"0.12\", expect_size=\"48266240\"] \n  13 -> 14 [size =\"48266240\"]\n  14 [size=\"85384533\", alpha=\"0.08\", expect_size=\"25615360\"] \n  14 -> 15 [size =\"25615360\"]\n  15 [size=\"21227520\", alpha=\"0.17\", expect_size=\"6368256\"] \n  15 -> 16 [size =\"6368256\"]\n  16 [size=\"152279040\", alpha=\"0.13\", expect_size=\"45683712\"] \n  16 -> 17 [size =\"45683712\"]\n  17 [size=\"125573120\", alpha=\"0.19\", expect_size=\"37671936\"] \n  17 -> 18 [size =\"37671936\"]\n  18 [size=\"139011413\", alpha=\"0.17\", expect_size=\"41703424\"] \n  18 -> 19 [size =\"41703424\"]\n  19 [size=\"96706560\", alpha=\"0.14\", expect_size=\"29011968\"] \n  19 -> 20 [size =\"29011968\"]\n  20 [size=\"113715200\", alpha=\"0.18\", expect_size=\"34114560\"] \n  20 -> 21 [size =\"34114560\"]\n  21 [size=\"59654827\", alpha=\"0.11\", expect_size=\"17896448\"] \n  21 -> 22 [size =\"17896448\"]\n  22 [size=\"133331627\", alpha=\"0.19\", expect_size=\"39999488\"] \n  22 -> 23 [size =\"39999488\"]\n  23 [size=\"121791147\", alpha=\"0.18\", expect_size=\"36537344\"] \n  23 -> 24 [size =\"36537344\"]\n  24 [size=\"56473600\", alpha=\"0.10\", expect_size=\"16942080\"] \n  24 -> 25 [size =\"16942080\"]\n  25 [size=\"118910293\", alpha=\"0.04\", expect_size=\"35673088\"] \n  25 -> 26 [size =\"35673088\"]\n  26 [size=\"92654933\", alpha=\"0.03\", expect_size=\"27796480\"] \n  26 -> 27 [size =\"27796480\"]\n  27 [size=\"38980267\", alpha=\"0.05\", expect_size=\"11694080\"] \n  27 -> 28 [size =\"11694080\"]\n  28 [size=\"28631040\", alpha=\"0.14\", expect_size=\"8589312\"] \n  28 -> 29 [size =\"8589312\"]\n  29 [size=\"159996587\", alpha=\"0.09\", expect_size=\"47998976\"] \n  29 -> 30 [size =\"47998976\"]\n  30 [size=\"113991680\", alpha=\"0.13\", expect_size=\"34197504\"] \n  30 -> 31 [size =\"34197504\"]\n  31 [size=\"101888000\", alpha=\"0.08\", expect_size=\"30566400\"] \n  31 -> 32 [size =\"30566400\"]\n  32 [size=\"30320640\", alpha=\"0.15\", expect_size=\"9096192\"] \n  32 -> 33 [size =\"9096192\"]\n  33 [size=\"26170027\", alpha=\"0.20\", expect_size=\"7851008\"] \n  33 -> 34 [size =\"7851008\"]\n  34 [size=\"166737920\", alpha=\"0.13\", expect_size=\"50021376\"] \n  34 -> 35 [size =\"50021376\"]\n  35 [size=\"90173440\", alpha=\"0.07\", expect_size=\"27052032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78946304\", alpha=\"0.04\", expect_size=\"39473152\"] \n  1 -> 2 [size =\"39473152\"]\n  2 [size=\"30740480\", alpha=\"0.06\", expect_size=\"15370240\"] \n  2 -> 3 [size =\"15370240\"]\n  3 [size=\"49823744\", alpha=\"0.05\", expect_size=\"24911872\"] \n  3 -> 4 [size =\"24911872\"]\n  4 [size=\"31844352\", alpha=\"0.15\", expect_size=\"15922176\"] \n  4 -> 5 [size =\"15922176\"]\n  5 [size=\"98531328\", alpha=\"0.17\", expect_size=\"49265664\"] \n  5 -> 6 [size =\"49265664\"]\n  6 [size=\"61306880\", alpha=\"0.09\", expect_size=\"30653440\"] \n  6 -> 7 [size =\"30653440\"]\n  7 [size=\"29872128\", alpha=\"0.03\", expect_size=\"14936064\"] \n  7 -> 8 [size =\"14936064\"]\n  8 [size=\"95410176\", alpha=\"0.14\", expect_size=\"47705088\"] \n  8 -> 9 [size =\"47705088\"]\n  9 [size=\"16809984\", alpha=\"0.16\", expect_size=\"8404992\"] \n  9 -> 10 [size =\"8404992\"]\n  10 [size=\"16719872\", alpha=\"0.14\", expect_size=\"8359936\"] \n  10 -> 11 [size =\"8359936\"]\n  11 [size=\"82429952\", alpha=\"0.05\", expect_size=\"41214976\"] \n  11 -> 12 [size =\"41214976\"]\n  12 [size=\"101462016\", alpha=\"0.12\", expect_size=\"50731008\"] \n  12 -> 13 [size =\"50731008\"]\n  13 [size=\"34142208\", alpha=\"0.10\", expect_size=\"17071104\"] \n  13 -> 14 [size =\"17071104\"]\n  14 [size=\"56705024\", alpha=\"0.10\", expect_size=\"28352512\"] \n  14 -> 15 [size =\"28352512\"]\n  15 [size=\"30982144\", alpha=\"0.13\", expect_size=\"15491072\"] \n  15 -> 16 [size =\"15491072\"]\n  16 [size=\"16984064\", alpha=\"0.16\", expect_size=\"8492032\"] \n  16 -> 17 [size =\"8492032\"]\n  17 [size=\"59785216\", alpha=\"0.04\", expect_size=\"29892608\"] \n  17 -> 18 [size =\"29892608\"]\n  18 [size=\"75266048\", alpha=\"0.03\", expect_size=\"37633024\"] \n  18 -> 19 [size =\"37633024\"]\n  19 [size=\"46618624\", alpha=\"0.03\", expect_size=\"23309312\"] \n  19 -> 20 [size =\"23309312\"]\n  20 [size=\"27840512\", alpha=\"0.19\", expect_size=\"13920256\"] \n  20 -> 21 [size =\"13920256\"]\n  21 [size=\"92164096\", alpha=\"0.10\", expect_size=\"46082048\"] \n  21 -> 22 [size =\"46082048\"]\n  22 [size=\"23027712\", alpha=\"0.05\", expect_size=\"11513856\"] \n  22 -> 23 [size =\"11513856\"]\n  23 [size=\"80584704\", alpha=\"0.09\", expect_size=\"40292352\"] \n  23 -> 24 [size =\"40292352\"]\n  24 [size=\"31107072\", alpha=\"0.17\", expect_size=\"15553536\"] \n  24 -> 25 [size =\"15553536\"]\n  25 [size=\"76269568\", alpha=\"0.03\", expect_size=\"38134784\"] \n  25 -> 26 [size =\"38134784\"]\n  26 [size=\"41666560\", alpha=\"0.01\", expect_size=\"20833280\"] \n  26 -> 27 [size =\"20833280\"]\n  27 [size=\"24858624\", alpha=\"0.02\", expect_size=\"12429312\"] \n  27 -> 28 [size =\"12429312\"]\n  28 [size=\"43902976\", alpha=\"0.02\", expect_size=\"21951488\"] \n  28 -> 29 [size =\"21951488\"]\n  29 [size=\"55781376\", alpha=\"0.03\", expect_size=\"27890688\"] \n  29 -> 30 [size =\"27890688\"]\n  30 [size=\"69699584\", alpha=\"0.05\", expect_size=\"34849792\"] \n  30 -> 31 [size =\"34849792\"]\n  31 [size=\"66328576\", alpha=\"0.02\", expect_size=\"33164288\"] \n  31 -> 32 [size =\"33164288\"]\n  32 [size=\"19757056\", alpha=\"0.19\", expect_size=\"9878528\"] \n  32 -> 33 [size =\"9878528\"]\n  33 [size=\"44613632\", alpha=\"0.01\", expect_size=\"22306816\"] \n  33 -> 34 [size =\"22306816\"]\n  34 [size=\"85868544\", alpha=\"0.12\", expect_size=\"42934272\"] \n  34 -> 35 [size =\"42934272\"]\n  35 [size=\"70502400\", alpha=\"0.08\", expect_size=\"35251200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124651520\", alpha=\"0.03\", expect_size=\"49860608\"] \n  1 -> 2 [size =\"49860608\"]\n  2 [size=\"128440320\", alpha=\"0.17\", expect_size=\"51376128\"] \n  2 -> 3 [size =\"51376128\"]\n  3 [size=\"41625600\", alpha=\"0.18\", expect_size=\"16650240\"] \n  3 -> 4 [size =\"16650240\"]\n  4 [size=\"44774400\", alpha=\"0.05\", expect_size=\"17909760\"] \n  4 -> 5 [size =\"17909760\"]\n  5 [size=\"80401920\", alpha=\"0.00\", expect_size=\"32160768\"] \n  5 -> 6 [size =\"32160768\"]\n  5 -> 7 [size =\"32160768\"]\n  6 [size=\"31293440\", alpha=\"0.15\", expect_size=\"12517376\"] \n  6 -> 8 [size =\"12517376\"]\n  6 -> 9 [size =\"12517376\"]\n  7 [size=\"117009920\", alpha=\"0.01\", expect_size=\"46803968\"] \n  7 -> 8 [size =\"46803968\"]\n  7 -> 9 [size =\"46803968\"]\n  8 [size=\"48568320\", alpha=\"0.19\", expect_size=\"19427328\"] \n  8 -> 10 [size =\"19427328\"]\n  8 -> 11 [size =\"19427328\"]\n  9 [size=\"57799680\", alpha=\"0.09\", expect_size=\"23119872\"] \n  9 -> 10 [size =\"23119872\"]\n  10 [size=\"50675200\", alpha=\"0.04\", expect_size=\"20270080\"] \n  10 -> 12 [size =\"20270080\"]\n  11 [size=\"119728640\", alpha=\"0.08\", expect_size=\"47891456\"] \n  11 -> 12 [size =\"47891456\"]\n  12 [size=\"21688320\", alpha=\"0.07\", expect_size=\"8675328\"] \n  12 -> 13 [size =\"8675328\"]\n  12 -> 14 [size =\"8675328\"]\n  13 [size=\"124515840\", alpha=\"0.04\", expect_size=\"49806336\"] \n  13 -> 15 [size =\"49806336\"]\n  13 -> 16 [size =\"49806336\"]\n  14 [size=\"115635200\", alpha=\"0.09\", expect_size=\"46254080\"] \n  14 -> 15 [size =\"46254080\"]\n  14 -> 16 [size =\"46254080\"]\n  15 [size=\"29224960\", alpha=\"0.07\", expect_size=\"11689984\"] \n  15 -> 17 [size =\"11689984\"]\n  16 [size=\"29381120\", alpha=\"0.12\", expect_size=\"11752448\"] \n  16 -> 17 [size =\"11752448\"]\n  16 -> 18 [size =\"11752448\"]\n  17 [size=\"119429120\", alpha=\"0.15\", expect_size=\"47771648\"] \n  17 -> 19 [size =\"47771648\"]\n  18 [size=\"122688000\", alpha=\"0.20\", expect_size=\"49075200\"] \n  19 [size=\"116349440\", alpha=\"0.09\", expect_size=\"46539776\"] \n  19 -> 20 [size =\"46539776\"]\n  20 [size=\"53841920\", alpha=\"0.11\", expect_size=\"21536768\"] \n  20 -> 21 [size =\"21536768\"]\n  21 [size=\"76979200\", alpha=\"0.13\", expect_size=\"30791680\"] \n  21 -> 22 [size =\"30791680\"]\n  21 -> 23 [size =\"30791680\"]\n  22 [size=\"122319360\", alpha=\"0.14\", expect_size=\"48927744\"] \n  22 -> 24 [size =\"48927744\"]\n  23 [size=\"43238400\", alpha=\"0.00\", expect_size=\"17295360\"] \n  23 -> 24 [size =\"17295360\"]\n  24 [size=\"65868800\", alpha=\"0.11\", expect_size=\"26347520\"] \n  24 -> 25 [size =\"26347520\"]\n  25 [size=\"117731840\", alpha=\"0.14\", expect_size=\"47092736\"] \n  25 -> 26 [size =\"47092736\"]\n  25 -> 27 [size =\"47092736\"]\n  26 [size=\"39790080\", alpha=\"0.20\", expect_size=\"15916032\"] \n  26 -> 28 [size =\"15916032\"]\n  26 -> 29 [size =\"15916032\"]\n  27 [size=\"112017920\", alpha=\"0.03\", expect_size=\"44807168\"] \n  27 -> 28 [size =\"44807168\"]\n  27 -> 29 [size =\"44807168\"]\n  28 [size=\"81228800\", alpha=\"0.13\", expect_size=\"32491520\"] \n  28 -> 31 [size =\"32491520\"]\n  29 [size=\"80465920\", alpha=\"0.10\", expect_size=\"32186368\"] \n  29 -> 30 [size =\"32186368\"]\n  29 -> 31 [size =\"32186368\"]\n  30 [size=\"14100480\", alpha=\"0.13\", expect_size=\"5640192\"] \n  31 [size=\"81349120\", alpha=\"0.15\", expect_size=\"32539648\"] \n  31 -> 32 [size =\"32539648\"]\n  31 -> 33 [size =\"32539648\"]\n  32 [size=\"39861760\", alpha=\"0.18\", expect_size=\"15944704\"] \n  32 -> 34 [size =\"15944704\"]\n  32 -> 35 [size =\"15944704\"]\n  33 [size=\"122938880\", alpha=\"0.19\", expect_size=\"49175552\"] \n  33 -> 34 [size =\"49175552\"]\n  33 -> 35 [size =\"49175552\"]\n  34 [size=\"123171840\", alpha=\"0.19\", expect_size=\"49268736\"] \n  35 [size=\"72225280\", alpha=\"0.01\", expect_size=\"28890112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122434560\", alpha=\"0.13\", expect_size=\"48973824\"] \n  1 -> 5 [size =\"48973824\"]\n  1 -> 6 [size =\"48973824\"]\n  1 -> 7 [size =\"48973824\"]\n  2 [size=\"20349440\", alpha=\"0.02\", expect_size=\"8139776\"] \n  2 -> 7 [size =\"8139776\"]\n  3 [size=\"111170560\", alpha=\"0.14\", expect_size=\"44468224\"] \n  3 -> 7 [size =\"44468224\"]\n  3 -> 8 [size =\"44468224\"]\n  4 [size=\"119562240\", alpha=\"0.06\", expect_size=\"47824896\"] \n  4 -> 5 [size =\"47824896\"]\n  4 -> 6 [size =\"47824896\"]\n  4 -> 7 [size =\"47824896\"]\n  4 -> 8 [size =\"47824896\"]\n  5 [size=\"51453440\", alpha=\"0.14\", expect_size=\"20581376\"] \n  5 -> 10 [size =\"20581376\"]\n  5 -> 11 [size =\"20581376\"]\n  6 [size=\"29171200\", alpha=\"0.18\", expect_size=\"11668480\"] \n  6 -> 11 [size =\"11668480\"]\n  6 -> 12 [size =\"11668480\"]\n  7 [size=\"51179520\", alpha=\"0.17\", expect_size=\"20471808\"] \n  7 -> 9 [size =\"20471808\"]\n  7 -> 11 [size =\"20471808\"]\n  8 [size=\"22318080\", alpha=\"0.04\", expect_size=\"8927232\"] \n  8 -> 9 [size =\"8927232\"]\n  8 -> 10 [size =\"8927232\"]\n  8 -> 11 [size =\"8927232\"]\n  9 [size=\"79831040\", alpha=\"0.07\", expect_size=\"31932416\"] \n  9 -> 14 [size =\"31932416\"]\n  9 -> 15 [size =\"31932416\"]\n  9 -> 16 [size =\"31932416\"]\n  9 -> 17 [size =\"31932416\"]\n  9 -> 18 [size =\"31932416\"]\n  10 [size=\"90391040\", alpha=\"0.11\", expect_size=\"36156416\"] \n  10 -> 13 [size =\"36156416\"]\n  10 -> 14 [size =\"36156416\"]\n  11 [size=\"87992320\", alpha=\"0.16\", expect_size=\"35196928\"] \n  11 -> 13 [size =\"35196928\"]\n  11 -> 14 [size =\"35196928\"]\n  11 -> 15 [size =\"35196928\"]\n  11 -> 16 [size =\"35196928\"]\n  12 [size=\"49292800\", alpha=\"0.16\", expect_size=\"19717120\"] \n  12 -> 13 [size =\"19717120\"]\n  13 [size=\"61608960\", alpha=\"0.05\", expect_size=\"24643584\"] \n  14 [size=\"27404800\", alpha=\"0.10\", expect_size=\"10961920\"] \n  14 -> 20 [size =\"10961920\"]\n  15 [size=\"65646080\", alpha=\"0.19\", expect_size=\"26258432\"] \n  15 -> 19 [size =\"26258432\"]\n  16 [size=\"27517440\", alpha=\"0.02\", expect_size=\"11006976\"] \n  16 -> 19 [size =\"11006976\"]\n  16 -> 21 [size =\"11006976\"]\n  17 [size=\"13852160\", alpha=\"0.03\", expect_size=\"5540864\"] \n  17 -> 19 [size =\"5540864\"]\n  18 [size=\"114585600\", alpha=\"0.09\", expect_size=\"45834240\"] \n  18 -> 19 [size =\"45834240\"]\n  19 [size=\"20674560\", alpha=\"0.15\", expect_size=\"8269824\"] \n  19 -> 22 [size =\"8269824\"]\n  19 -> 24 [size =\"8269824\"]\n  20 [size=\"64386560\", alpha=\"0.09\", expect_size=\"25754624\"] \n  20 -> 22 [size =\"25754624\"]\n  21 [size=\"128122880\", alpha=\"0.03\", expect_size=\"51249152\"] \n  21 -> 22 [size =\"51249152\"]\n  21 -> 23 [size =\"51249152\"]\n  21 -> 24 [size =\"51249152\"]\n  22 [size=\"102297600\", alpha=\"0.17\", expect_size=\"40919040\"] \n  22 -> 25 [size =\"40919040\"]\n  22 -> 26 [size =\"40919040\"]\n  22 -> 27 [size =\"40919040\"]\n  22 -> 28 [size =\"40919040\"]\n  23 [size=\"78563840\", alpha=\"0.09\", expect_size=\"31425536\"] \n  23 -> 26 [size =\"31425536\"]\n  23 -> 27 [size =\"31425536\"]\n  23 -> 28 [size =\"31425536\"]\n  24 [size=\"106122240\", alpha=\"0.18\", expect_size=\"42448896\"] \n  24 -> 26 [size =\"42448896\"]\n  24 -> 27 [size =\"42448896\"]\n  24 -> 28 [size =\"42448896\"]\n  25 [size=\"45844480\", alpha=\"0.14\", expect_size=\"18337792\"] \n  25 -> 29 [size =\"18337792\"]\n  25 -> 30 [size =\"18337792\"]\n  25 -> 32 [size =\"18337792\"]\n  26 [size=\"42380800\", alpha=\"0.12\", expect_size=\"16952320\"] \n  26 -> 29 [size =\"16952320\"]\n  26 -> 30 [size =\"16952320\"]\n  26 -> 31 [size =\"16952320\"]\n  26 -> 32 [size =\"16952320\"]\n  27 [size=\"52648960\", alpha=\"0.17\", expect_size=\"21059584\"] \n  27 -> 29 [size =\"21059584\"]\n  27 -> 30 [size =\"21059584\"]\n  27 -> 31 [size =\"21059584\"]\n  27 -> 32 [size =\"21059584\"]\n  28 [size=\"68047360\", alpha=\"0.04\", expect_size=\"27218944\"] \n  28 -> 29 [size =\"27218944\"]\n  28 -> 30 [size =\"27218944\"]\n  28 -> 31 [size =\"27218944\"]\n  29 [size=\"120092160\", alpha=\"0.02\", expect_size=\"48036864\"] \n  29 -> 35 [size =\"48036864\"]\n  30 [size=\"88440320\", alpha=\"0.13\", expect_size=\"35376128\"] \n  30 -> 34 [size =\"35376128\"]\n  30 -> 35 [size =\"35376128\"]\n  31 [size=\"26416640\", alpha=\"0.16\", expect_size=\"10566656\"] \n  31 -> 33 [size =\"10566656\"]\n  31 -> 34 [size =\"10566656\"]\n  31 -> 35 [size =\"10566656\"]\n  32 [size=\"43353600\", alpha=\"0.06\", expect_size=\"17341440\"] \n  32 -> 34 [size =\"17341440\"]\n  32 -> 34 [size =\"17341440\"]\n  33 [size=\"28526080\", alpha=\"0.04\", expect_size=\"11410432\"] \n  34 [size=\"80002560\", alpha=\"0.04\", expect_size=\"32001024\"] \n  35 [size=\"68305920\", alpha=\"0.14\", expect_size=\"27322368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69632000\", alpha=\"0.19\", expect_size=\"27852800\"] \n  1 -> 2 [size =\"27852800\"]\n  1 -> 3 [size =\"27852800\"]\n  2 [size=\"96074240\", alpha=\"0.12\", expect_size=\"38429696\"] \n  2 -> 4 [size =\"38429696\"]\n  2 -> 5 [size =\"38429696\"]\n  3 [size=\"99816960\", alpha=\"0.10\", expect_size=\"39926784\"] \n  3 -> 4 [size =\"39926784\"]\n  4 [size=\"33154560\", alpha=\"0.09\", expect_size=\"13261824\"] \n  4 -> 6 [size =\"13261824\"]\n  4 -> 7 [size =\"13261824\"]\n  5 [size=\"111313920\", alpha=\"0.18\", expect_size=\"44525568\"] \n  5 -> 6 [size =\"44525568\"]\n  5 -> 7 [size =\"44525568\"]\n  6 [size=\"74378240\", alpha=\"0.05\", expect_size=\"29751296\"] \n  6 -> 8 [size =\"29751296\"]\n  6 -> 9 [size =\"29751296\"]\n  7 [size=\"127168000\", alpha=\"0.08\", expect_size=\"50867200\"] \n  7 -> 8 [size =\"50867200\"]\n  8 [size=\"103577600\", alpha=\"0.13\", expect_size=\"41431040\"] \n  9 [size=\"88220160\", alpha=\"0.18\", expect_size=\"35288064\"] \n  9 -> 10 [size =\"35288064\"]\n  10 [size=\"79050240\", alpha=\"0.05\", expect_size=\"31620096\"] \n  10 -> 11 [size =\"31620096\"]\n  10 -> 12 [size =\"31620096\"]\n  11 [size=\"26076160\", alpha=\"0.14\", expect_size=\"10430464\"] \n  11 -> 13 [size =\"10430464\"]\n  11 -> 14 [size =\"10430464\"]\n  12 [size=\"21734400\", alpha=\"0.00\", expect_size=\"8693760\"] \n  12 -> 13 [size =\"8693760\"]\n  13 [size=\"90293760\", alpha=\"0.02\", expect_size=\"36117504\"] \n  14 [size=\"30522880\", alpha=\"0.04\", expect_size=\"12209152\"] \n  14 -> 15 [size =\"12209152\"]\n  15 [size=\"82831360\", alpha=\"0.04\", expect_size=\"33132544\"] \n  15 -> 16 [size =\"33132544\"]\n  16 [size=\"69890560\", alpha=\"0.19\", expect_size=\"27956224\"] \n  16 -> 17 [size =\"27956224\"]\n  16 -> 18 [size =\"27956224\"]\n  17 [size=\"99133440\", alpha=\"0.11\", expect_size=\"39653376\"] \n  17 -> 19 [size =\"39653376\"]\n  18 [size=\"28887040\", alpha=\"0.14\", expect_size=\"11554816\"] \n  19 [size=\"104711680\", alpha=\"0.17\", expect_size=\"41884672\"] \n  19 -> 20 [size =\"41884672\"]\n  19 -> 21 [size =\"41884672\"]\n  20 [size=\"92047360\", alpha=\"0.06\", expect_size=\"36818944\"] \n  20 -> 22 [size =\"36818944\"]\n  21 [size=\"118817280\", alpha=\"0.04\", expect_size=\"47526912\"] \n  21 -> 23 [size =\"47526912\"]\n  22 [size=\"85509120\", alpha=\"0.16\", expect_size=\"34203648\"] \n  22 -> 24 [size =\"34203648\"]\n  23 [size=\"88320000\", alpha=\"0.03\", expect_size=\"35328000\"] \n  24 [size=\"102039040\", alpha=\"0.14\", expect_size=\"40815616\"] \n  24 -> 25 [size =\"40815616\"]\n  24 -> 26 [size =\"40815616\"]\n  25 [size=\"124354560\", alpha=\"0.01\", expect_size=\"49741824\"] \n  25 -> 27 [size =\"49741824\"]\n  25 -> 28 [size =\"49741824\"]\n  26 [size=\"32552960\", alpha=\"0.18\", expect_size=\"13021184\"] \n  26 -> 27 [size =\"13021184\"]\n  26 -> 28 [size =\"13021184\"]\n  27 [size=\"28904960\", alpha=\"0.15\", expect_size=\"11561984\"] \n  27 -> 29 [size =\"11561984\"]\n  28 [size=\"91281920\", alpha=\"0.07\", expect_size=\"36512768\"] \n  29 [size=\"56627200\", alpha=\"0.12\", expect_size=\"22650880\"] \n  29 -> 30 [size =\"22650880\"]\n  29 -> 31 [size =\"22650880\"]\n  30 [size=\"41497600\", alpha=\"0.08\", expect_size=\"16599040\"] \n  30 -> 32 [size =\"16599040\"]\n  31 [size=\"76971520\", alpha=\"0.06\", expect_size=\"30788608\"] \n  31 -> 32 [size =\"30788608\"]\n  32 [size=\"101611520\", alpha=\"0.05\", expect_size=\"40644608\"] \n  32 -> 33 [size =\"40644608\"]\n  33 [size=\"80422400\", alpha=\"0.18\", expect_size=\"32168960\"] \n  33 -> 34 [size =\"32168960\"]\n  33 -> 35 [size =\"32168960\"]\n  34 [size=\"100116480\", alpha=\"0.14\", expect_size=\"40046592\"] \n  35 [size=\"62776320\", alpha=\"0.01\", expect_size=\"25110528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102082560\", alpha=\"0.14\", expect_size=\"30624768\"] \n  1 -> 12 [size =\"30624768\"]\n  1 -> 18 [size =\"30624768\"]\n  1 -> 22 [size =\"30624768\"]\n  1 -> 23 [size =\"30624768\"]\n  2 [size=\"137557333\", alpha=\"0.02\", expect_size=\"41267200\"] \n  2 -> 13 [size =\"41267200\"]\n  2 -> 14 [size =\"41267200\"]\n  2 -> 15 [size =\"41267200\"]\n  2 -> 21 [size =\"41267200\"]\n  3 [size=\"137646080\", alpha=\"0.17\", expect_size=\"41293824\"] \n  3 -> 14 [size =\"41293824\"]\n  3 -> 16 [size =\"41293824\"]\n  3 -> 17 [size =\"41293824\"]\n  3 -> 20 [size =\"41293824\"]\n  4 [size=\"37338453\", alpha=\"0.15\", expect_size=\"11201536\"] \n  4 -> 14 [size =\"11201536\"]\n  5 [size=\"143933440\", alpha=\"0.16\", expect_size=\"43180032\"] \n  5 -> 14 [size =\"43180032\"]\n  5 -> 15 [size =\"43180032\"]\n  5 -> 16 [size =\"43180032\"]\n  5 -> 17 [size =\"43180032\"]\n  5 -> 21 [size =\"43180032\"]\n  6 [size=\"109687467\", alpha=\"0.19\", expect_size=\"32906240\"] \n  6 -> 12 [size =\"32906240\"]\n  6 -> 15 [size =\"32906240\"]\n  6 -> 16 [size =\"32906240\"]\n  6 -> 18 [size =\"32906240\"]\n  6 -> 22 [size =\"32906240\"]\n  7 [size=\"158399147\", alpha=\"0.12\", expect_size=\"47519744\"] \n  7 -> 12 [size =\"47519744\"]\n  7 -> 15 [size =\"47519744\"]\n  8 [size=\"30945280\", alpha=\"0.15\", expect_size=\"9283584\"] \n  8 -> 13 [size =\"9283584\"]\n  8 -> 20 [size =\"9283584\"]\n  8 -> 22 [size =\"9283584\"]\n  8 -> 23 [size =\"9283584\"]\n  9 [size=\"134113280\", alpha=\"0.07\", expect_size=\"40233984\"] \n  9 -> 12 [size =\"40233984\"]\n  9 -> 14 [size =\"40233984\"]\n  9 -> 18 [size =\"40233984\"]\n  9 -> 19 [size =\"40233984\"]\n  9 -> 20 [size =\"40233984\"]\n  10 [size=\"53418667\", alpha=\"0.09\", expect_size=\"16025600\"] \n  10 -> 14 [size =\"16025600\"]\n  10 -> 16 [size =\"16025600\"]\n  10 -> 19 [size =\"16025600\"]\n  11 [size=\"151538347\", alpha=\"0.19\", expect_size=\"45461504\"] \n  11 -> 16 [size =\"45461504\"]\n  11 -> 19 [size =\"45461504\"]\n  11 -> 20 [size =\"45461504\"]\n  11 -> 23 [size =\"45461504\"]\n  12 [size=\"101031253\", alpha=\"0.01\", expect_size=\"30309376\"] \n  12 -> 27 [size =\"30309376\"]\n  13 [size=\"117094400\", alpha=\"0.11\", expect_size=\"35128320\"] \n  13 -> 28 [size =\"35128320\"]\n  13 -> 31 [size =\"35128320\"]\n  13 -> 34 [size =\"35128320\"]\n  14 [size=\"96887467\", alpha=\"0.13\", expect_size=\"29066240\"] \n  14 -> 26 [size =\"29066240\"]\n  14 -> 28 [size =\"29066240\"]\n  15 [size=\"59125760\", alpha=\"0.18\", expect_size=\"17737728\"] \n  15 -> 28 [size =\"17737728\"]\n  16 [size=\"27753813\", alpha=\"0.08\", expect_size=\"8326144\"] \n  16 -> 25 [size =\"8326144\"]\n  16 -> 26 [size =\"8326144\"]\n  16 -> 29 [size =\"8326144\"]\n  16 -> 30 [size =\"8326144\"]\n  16 -> 31 [size =\"8326144\"]\n  16 -> 33 [size =\"8326144\"]\n  16 -> 34 [size =\"8326144\"]\n  17 [size=\"19565227\", alpha=\"0.17\", expect_size=\"5869568\"] \n  17 -> 30 [size =\"5869568\"]\n  17 -> 34 [size =\"5869568\"]\n  18 [size=\"115998720\", alpha=\"0.13\", expect_size=\"34799616\"] \n  18 -> 25 [size =\"34799616\"]\n  18 -> 26 [size =\"34799616\"]\n  18 -> 28 [size =\"34799616\"]\n  18 -> 30 [size =\"34799616\"]\n  19 [size=\"74379947\", alpha=\"0.13\", expect_size=\"22313984\"] \n  19 -> 26 [size =\"22313984\"]\n  20 [size=\"127283200\", alpha=\"0.07\", expect_size=\"38184960\"] \n  20 -> 24 [size =\"38184960\"]\n  20 -> 25 [size =\"38184960\"]\n  21 [size=\"38348800\", alpha=\"0.11\", expect_size=\"11504640\"] \n  21 -> 26 [size =\"11504640\"]\n  21 -> 28 [size =\"11504640\"]\n  21 -> 32 [size =\"11504640\"]\n  22 [size=\"33952427\", alpha=\"0.11\", expect_size=\"10185728\"] \n  22 -> 28 [size =\"10185728\"]\n  23 [size=\"44974080\", alpha=\"0.06\", expect_size=\"13492224\"] \n  23 -> 27 [size =\"13492224\"]\n  24 [size=\"135321600\", alpha=\"0.03\", expect_size=\"40596480\"] \n  25 [size=\"83732480\", alpha=\"0.17\", expect_size=\"25119744\"] \n  26 [size=\"71485440\", alpha=\"0.02\", expect_size=\"21445632\"] \n  26 -> 35 [size =\"21445632\"]\n  27 [size=\"135075840\", alpha=\"0.05\", expect_size=\"40522752\"] \n  28 [size=\"109684053\", alpha=\"0.10\", expect_size=\"32905216\"] \n  28 -> 35 [size =\"32905216\"]\n  29 [size=\"56159573\", alpha=\"0.10\", expect_size=\"16847872\"] \n  30 [size=\"160163840\", alpha=\"0.14\", expect_size=\"48049152\"] \n  31 [size=\"56623787\", alpha=\"0.15\", expect_size=\"16987136\"] \n  32 [size=\"144718507\", alpha=\"0.07\", expect_size=\"43415552\"] \n  33 [size=\"72676693\", alpha=\"0.12\", expect_size=\"21803008\"] \n  34 [size=\"117954560\", alpha=\"0.07\", expect_size=\"35386368\"] \n  35 [size=\"143131307\", alpha=\"0.07\", expect_size=\"42939392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14116864\", alpha=\"0.12\", expect_size=\"7058432\"] \n  1 -> 2 [size =\"7058432\"]\n  2 [size=\"50096128\", alpha=\"0.01\", expect_size=\"25048064\"] \n  2 -> 3 [size =\"25048064\"]\n  3 [size=\"69177344\", alpha=\"0.05\", expect_size=\"34588672\"] \n  3 -> 4 [size =\"34588672\"]\n  3 -> 5 [size =\"34588672\"]\n  4 [size=\"46735360\", alpha=\"0.15\", expect_size=\"23367680\"] \n  5 [size=\"37163008\", alpha=\"0.19\", expect_size=\"18581504\"] \n  5 -> 6 [size =\"18581504\"]\n  6 [size=\"15319040\", alpha=\"0.05\", expect_size=\"7659520\"] \n  6 -> 7 [size =\"7659520\"]\n  7 [size=\"31408128\", alpha=\"0.07\", expect_size=\"15704064\"] \n  7 -> 8 [size =\"15704064\"]\n  7 -> 9 [size =\"15704064\"]\n  8 [size=\"95074304\", alpha=\"0.12\", expect_size=\"47537152\"] \n  8 -> 10 [size =\"47537152\"]\n  8 -> 11 [size =\"47537152\"]\n  9 [size=\"65007616\", alpha=\"0.05\", expect_size=\"32503808\"] \n  9 -> 10 [size =\"32503808\"]\n  10 [size=\"69685248\", alpha=\"0.08\", expect_size=\"34842624\"] \n  11 [size=\"75712512\", alpha=\"0.03\", expect_size=\"37856256\"] \n  11 -> 12 [size =\"37856256\"]\n  12 [size=\"39475200\", alpha=\"0.15\", expect_size=\"19737600\"] \n  12 -> 13 [size =\"19737600\"]\n  12 -> 14 [size =\"19737600\"]\n  13 [size=\"44732416\", alpha=\"0.07\", expect_size=\"22366208\"] \n  13 -> 16 [size =\"22366208\"]\n  14 [size=\"68921344\", alpha=\"0.08\", expect_size=\"34460672\"] \n  14 -> 15 [size =\"34460672\"]\n  15 [size=\"43632640\", alpha=\"0.05\", expect_size=\"21816320\"] \n  15 -> 17 [size =\"21816320\"]\n  16 [size=\"37685248\", alpha=\"0.18\", expect_size=\"18842624\"] \n  17 [size=\"62257152\", alpha=\"0.06\", expect_size=\"31128576\"] \n  17 -> 18 [size =\"31128576\"]\n  18 [size=\"93929472\", alpha=\"0.17\", expect_size=\"46964736\"] \n  18 -> 19 [size =\"46964736\"]\n  18 -> 20 [size =\"46964736\"]\n  19 [size=\"56911872\", alpha=\"0.16\", expect_size=\"28455936\"] \n  19 -> 21 [size =\"28455936\"]\n  20 [size=\"78342144\", alpha=\"0.11\", expect_size=\"39171072\"] \n  21 [size=\"21231616\", alpha=\"0.07\", expect_size=\"10615808\"] \n  21 -> 22 [size =\"10615808\"]\n  21 -> 23 [size =\"10615808\"]\n  22 [size=\"33062912\", alpha=\"0.11\", expect_size=\"16531456\"] \n  23 [size=\"103168000\", alpha=\"0.08\", expect_size=\"51584000\"] \n  23 -> 24 [size =\"51584000\"]\n  24 [size=\"43118592\", alpha=\"0.12\", expect_size=\"21559296\"] \n  24 -> 25 [size =\"21559296\"]\n  25 [size=\"79777792\", alpha=\"0.02\", expect_size=\"39888896\"] \n  25 -> 26 [size =\"39888896\"]\n  25 -> 27 [size =\"39888896\"]\n  26 [size=\"104730624\", alpha=\"0.13\", expect_size=\"52365312\"] \n  27 [size=\"97241088\", alpha=\"0.08\", expect_size=\"48620544\"] \n  27 -> 28 [size =\"48620544\"]\n  28 [size=\"31520768\", alpha=\"0.01\", expect_size=\"15760384\"] \n  28 -> 29 [size =\"15760384\"]\n  28 -> 30 [size =\"15760384\"]\n  29 [size=\"17389568\", alpha=\"0.06\", expect_size=\"8694784\"] \n  29 -> 31 [size =\"8694784\"]\n  30 [size=\"93140992\", alpha=\"0.04\", expect_size=\"46570496\"] \n  30 -> 31 [size =\"46570496\"]\n  31 [size=\"50849792\", alpha=\"0.15\", expect_size=\"25424896\"] \n  31 -> 32 [size =\"25424896\"]\n  31 -> 33 [size =\"25424896\"]\n  32 [size=\"82894848\", alpha=\"0.12\", expect_size=\"41447424\"] \n  33 [size=\"40138752\", alpha=\"0.17\", expect_size=\"20069376\"] \n  33 -> 34 [size =\"20069376\"]\n  34 [size=\"75646976\", alpha=\"0.14\", expect_size=\"37823488\"] \n  34 -> 35 [size =\"37823488\"]\n  35 [size=\"36929536\", alpha=\"0.18\", expect_size=\"18464768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51507200\", alpha=\"0.01\", expect_size=\"20602880\"] \n  1 -> 2 [size =\"20602880\"]\n  2 [size=\"44206080\", alpha=\"0.19\", expect_size=\"17682432\"] \n  2 -> 3 [size =\"17682432\"]\n  3 [size=\"79078400\", alpha=\"0.09\", expect_size=\"31631360\"] \n  3 -> 4 [size =\"31631360\"]\n  4 [size=\"117557760\", alpha=\"0.00\", expect_size=\"47023104\"] \n  4 -> 5 [size =\"47023104\"]\n  5 [size=\"120163840\", alpha=\"0.02\", expect_size=\"48065536\"] \n  5 -> 6 [size =\"48065536\"]\n  6 [size=\"87598080\", alpha=\"0.05\", expect_size=\"35039232\"] \n  6 -> 7 [size =\"35039232\"]\n  7 [size=\"110702080\", alpha=\"0.15\", expect_size=\"44280832\"] \n  7 -> 8 [size =\"44280832\"]\n  8 [size=\"50465280\", alpha=\"0.05\", expect_size=\"20186112\"] \n  8 -> 9 [size =\"20186112\"]\n  9 [size=\"120716800\", alpha=\"0.10\", expect_size=\"48286720\"] \n  9 -> 10 [size =\"48286720\"]\n  10 [size=\"122191360\", alpha=\"0.02\", expect_size=\"48876544\"] \n  10 -> 11 [size =\"48876544\"]\n  11 [size=\"52871680\", alpha=\"0.11\", expect_size=\"21148672\"] \n  11 -> 12 [size =\"21148672\"]\n  12 [size=\"56391680\", alpha=\"0.07\", expect_size=\"22556672\"] \n  12 -> 13 [size =\"22556672\"]\n  13 [size=\"52113920\", alpha=\"0.16\", expect_size=\"20845568\"] \n  13 -> 14 [size =\"20845568\"]\n  14 [size=\"103063040\", alpha=\"0.16\", expect_size=\"41225216\"] \n  14 -> 15 [size =\"41225216\"]\n  15 [size=\"105372160\", alpha=\"0.01\", expect_size=\"42148864\"] \n  15 -> 16 [size =\"42148864\"]\n  16 [size=\"114785280\", alpha=\"0.02\", expect_size=\"45914112\"] \n  16 -> 17 [size =\"45914112\"]\n  17 [size=\"23767040\", alpha=\"0.10\", expect_size=\"9506816\"] \n  17 -> 18 [size =\"9506816\"]\n  18 [size=\"111047680\", alpha=\"0.12\", expect_size=\"44419072\"] \n  18 -> 19 [size =\"44419072\"]\n  19 [size=\"20528640\", alpha=\"0.08\", expect_size=\"8211456\"] \n  19 -> 20 [size =\"8211456\"]\n  20 [size=\"79854080\", alpha=\"0.15\", expect_size=\"31941632\"] \n  20 -> 21 [size =\"31941632\"]\n  21 [size=\"88716800\", alpha=\"0.08\", expect_size=\"35486720\"] \n  21 -> 22 [size =\"35486720\"]\n  22 [size=\"36815360\", alpha=\"0.07\", expect_size=\"14726144\"] \n  22 -> 23 [size =\"14726144\"]\n  23 [size=\"78732800\", alpha=\"0.17\", expect_size=\"31493120\"] \n  23 -> 24 [size =\"31493120\"]\n  24 [size=\"54113280\", alpha=\"0.05\", expect_size=\"21645312\"] \n  24 -> 25 [size =\"21645312\"]\n  25 [size=\"27937280\", alpha=\"0.11\", expect_size=\"11174912\"] \n  25 -> 26 [size =\"11174912\"]\n  26 [size=\"34624000\", alpha=\"0.09\", expect_size=\"13849600\"] \n  26 -> 27 [size =\"13849600\"]\n  27 [size=\"45125120\", alpha=\"0.04\", expect_size=\"18050048\"] \n  27 -> 28 [size =\"18050048\"]\n  28 [size=\"106391040\", alpha=\"0.06\", expect_size=\"42556416\"] \n  28 -> 29 [size =\"42556416\"]\n  29 [size=\"57541120\", alpha=\"0.05\", expect_size=\"23016448\"] \n  29 -> 30 [size =\"23016448\"]\n  30 [size=\"102566400\", alpha=\"0.03\", expect_size=\"41026560\"] \n  30 -> 31 [size =\"41026560\"]\n  31 [size=\"71155200\", alpha=\"0.08\", expect_size=\"28462080\"] \n  31 -> 32 [size =\"28462080\"]\n  32 [size=\"119677440\", alpha=\"0.00\", expect_size=\"47870976\"] \n  32 -> 33 [size =\"47870976\"]\n  33 [size=\"43299840\", alpha=\"0.19\", expect_size=\"17319936\"] \n  33 -> 34 [size =\"17319936\"]\n  34 [size=\"25960960\", alpha=\"0.13\", expect_size=\"10384384\"] \n  34 -> 35 [size =\"10384384\"]\n  35 [size=\"54149120\", alpha=\"0.03\", expect_size=\"21659648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91770880\", alpha=\"0.06\", expect_size=\"36708352\"] \n  1 -> 2 [size =\"36708352\"]\n  2 [size=\"36490240\", alpha=\"0.18\", expect_size=\"14596096\"] \n  2 -> 3 [size =\"14596096\"]\n  3 [size=\"15063040\", alpha=\"0.04\", expect_size=\"6025216\"] \n  3 -> 4 [size =\"6025216\"]\n  4 [size=\"125265920\", alpha=\"0.14\", expect_size=\"50106368\"] \n  4 -> 5 [size =\"50106368\"]\n  5 [size=\"112360960\", alpha=\"0.13\", expect_size=\"44944384\"] \n  5 -> 6 [size =\"44944384\"]\n  6 [size=\"118722560\", alpha=\"0.19\", expect_size=\"47489024\"] \n  6 -> 7 [size =\"47489024\"]\n  7 [size=\"72599040\", alpha=\"0.08\", expect_size=\"29039616\"] \n  7 -> 8 [size =\"29039616\"]\n  8 [size=\"126512640\", alpha=\"0.16\", expect_size=\"50605056\"] \n  8 -> 9 [size =\"50605056\"]\n  9 [size=\"42923520\", alpha=\"0.17\", expect_size=\"17169408\"] \n  9 -> 10 [size =\"17169408\"]\n  10 [size=\"93329920\", alpha=\"0.05\", expect_size=\"37331968\"] \n  10 -> 11 [size =\"37331968\"]\n  11 [size=\"89794560\", alpha=\"0.11\", expect_size=\"35917824\"] \n  11 -> 12 [size =\"35917824\"]\n  12 [size=\"126689280\", alpha=\"0.15\", expect_size=\"50675712\"] \n  12 -> 13 [size =\"50675712\"]\n  13 [size=\"117250560\", alpha=\"0.09\", expect_size=\"46900224\"] \n  13 -> 14 [size =\"46900224\"]\n  14 [size=\"22359040\", alpha=\"0.13\", expect_size=\"8943616\"] \n  14 -> 15 [size =\"8943616\"]\n  15 [size=\"105943040\", alpha=\"0.14\", expect_size=\"42377216\"] \n  15 -> 16 [size =\"42377216\"]\n  16 [size=\"66137600\", alpha=\"0.03\", expect_size=\"26455040\"] \n  16 -> 17 [size =\"26455040\"]\n  17 [size=\"57730560\", alpha=\"0.06\", expect_size=\"23092224\"] \n  17 -> 18 [size =\"23092224\"]\n  18 [size=\"106150400\", alpha=\"0.19\", expect_size=\"42460160\"] \n  18 -> 19 [size =\"42460160\"]\n  19 [size=\"83463680\", alpha=\"0.10\", expect_size=\"33385472\"] \n  19 -> 20 [size =\"33385472\"]\n  20 [size=\"62965760\", alpha=\"0.02\", expect_size=\"25186304\"] \n  20 -> 21 [size =\"25186304\"]\n  21 [size=\"93091840\", alpha=\"0.07\", expect_size=\"37236736\"] \n  21 -> 22 [size =\"37236736\"]\n  22 [size=\"39150080\", alpha=\"0.15\", expect_size=\"15660032\"] \n  22 -> 23 [size =\"15660032\"]\n  23 [size=\"128343040\", alpha=\"0.05\", expect_size=\"51337216\"] \n  23 -> 24 [size =\"51337216\"]\n  24 [size=\"62220800\", alpha=\"0.13\", expect_size=\"24888320\"] \n  24 -> 25 [size =\"24888320\"]\n  25 [size=\"22504960\", alpha=\"0.18\", expect_size=\"9001984\"] \n  25 -> 26 [size =\"9001984\"]\n  26 [size=\"106867200\", alpha=\"0.01\", expect_size=\"42746880\"] \n  26 -> 27 [size =\"42746880\"]\n  27 [size=\"127439360\", alpha=\"0.14\", expect_size=\"50975744\"] \n  27 -> 28 [size =\"50975744\"]\n  28 [size=\"43015680\", alpha=\"0.06\", expect_size=\"17206272\"] \n  28 -> 29 [size =\"17206272\"]\n  29 [size=\"38571520\", alpha=\"0.03\", expect_size=\"15428608\"] \n  29 -> 30 [size =\"15428608\"]\n  30 [size=\"98913280\", alpha=\"0.14\", expect_size=\"39565312\"] \n  30 -> 31 [size =\"39565312\"]\n  31 [size=\"109232640\", alpha=\"0.18\", expect_size=\"43693056\"] \n  31 -> 32 [size =\"43693056\"]\n  32 [size=\"30236160\", alpha=\"0.01\", expect_size=\"12094464\"] \n  32 -> 33 [size =\"12094464\"]\n  33 [size=\"121233920\", alpha=\"0.02\", expect_size=\"48493568\"] \n  33 -> 34 [size =\"48493568\"]\n  34 [size=\"30289920\", alpha=\"0.04\", expect_size=\"12115968\"] \n  34 -> 35 [size =\"12115968\"]\n  35 [size=\"105497600\", alpha=\"0.02\", expect_size=\"42199040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125166080\", alpha=\"0.00\", expect_size=\"50066432\"] \n  1 -> 3 [size =\"50066432\"]\n  1 -> 4 [size =\"50066432\"]\n  2 [size=\"48394240\", alpha=\"0.10\", expect_size=\"19357696\"] \n  3 [size=\"103214080\", alpha=\"0.10\", expect_size=\"41285632\"] \n  3 -> 5 [size =\"41285632\"]\n  4 [size=\"105420800\", alpha=\"0.00\", expect_size=\"42168320\"] \n  4 -> 5 [size =\"42168320\"]\n  5 [size=\"23244800\", alpha=\"0.13\", expect_size=\"9297920\"] \n  5 -> 6 [size =\"9297920\"]\n  6 [size=\"87109120\", alpha=\"0.20\", expect_size=\"34843648\"] \n  6 -> 7 [size =\"34843648\"]\n  6 -> 8 [size =\"34843648\"]\n  7 [size=\"63418880\", alpha=\"0.11\", expect_size=\"25367552\"] \n  8 [size=\"67008000\", alpha=\"0.16\", expect_size=\"26803200\"] \n  8 -> 9 [size =\"26803200\"]\n  9 [size=\"110031360\", alpha=\"0.04\", expect_size=\"44012544\"] \n  9 -> 10 [size =\"44012544\"]\n  10 [size=\"58391040\", alpha=\"0.14\", expect_size=\"23356416\"] \n  10 -> 11 [size =\"23356416\"]\n  10 -> 12 [size =\"23356416\"]\n  11 [size=\"47216640\", alpha=\"0.03\", expect_size=\"18886656\"] \n  11 -> 13 [size =\"18886656\"]\n  11 -> 14 [size =\"18886656\"]\n  12 [size=\"47516160\", alpha=\"0.13\", expect_size=\"19006464\"] \n  12 -> 13 [size =\"19006464\"]\n  12 -> 14 [size =\"19006464\"]\n  13 [size=\"108508160\", alpha=\"0.19\", expect_size=\"43403264\"] \n  13 -> 15 [size =\"43403264\"]\n  14 [size=\"49820160\", alpha=\"0.10\", expect_size=\"19928064\"] \n  14 -> 15 [size =\"19928064\"]\n  15 [size=\"51596800\", alpha=\"0.02\", expect_size=\"20638720\"] \n  15 -> 16 [size =\"20638720\"]\n  16 [size=\"127290880\", alpha=\"0.20\", expect_size=\"50916352\"] \n  16 -> 17 [size =\"50916352\"]\n  16 -> 18 [size =\"50916352\"]\n  17 [size=\"125529600\", alpha=\"0.19\", expect_size=\"50211840\"] \n  17 -> 19 [size =\"50211840\"]\n  18 [size=\"70077440\", alpha=\"0.17\", expect_size=\"28030976\"] \n  19 [size=\"45547520\", alpha=\"0.02\", expect_size=\"18219008\"] \n  19 -> 20 [size =\"18219008\"]\n  19 -> 21 [size =\"18219008\"]\n  20 [size=\"66708480\", alpha=\"0.14\", expect_size=\"26683392\"] \n  20 -> 22 [size =\"26683392\"]\n  21 [size=\"31948800\", alpha=\"0.06\", expect_size=\"12779520\"] \n  21 -> 22 [size =\"12779520\"]\n  22 [size=\"47764480\", alpha=\"0.04\", expect_size=\"19105792\"] \n  22 -> 23 [size =\"19105792\"]\n  22 -> 24 [size =\"19105792\"]\n  23 [size=\"121582080\", alpha=\"0.16\", expect_size=\"48632832\"] \n  23 -> 25 [size =\"48632832\"]\n  24 [size=\"118323200\", alpha=\"0.05\", expect_size=\"47329280\"] \n  24 -> 25 [size =\"47329280\"]\n  25 [size=\"59888640\", alpha=\"0.15\", expect_size=\"23955456\"] \n  25 -> 26 [size =\"23955456\"]\n  26 [size=\"72256000\", alpha=\"0.18\", expect_size=\"28902400\"] \n  26 -> 27 [size =\"28902400\"]\n  27 [size=\"70517760\", alpha=\"0.09\", expect_size=\"28207104\"] \n  27 -> 28 [size =\"28207104\"]\n  28 [size=\"64409600\", alpha=\"0.10\", expect_size=\"25763840\"] \n  28 -> 29 [size =\"25763840\"]\n  28 -> 30 [size =\"25763840\"]\n  29 [size=\"46538240\", alpha=\"0.06\", expect_size=\"18615296\"] \n  29 -> 31 [size =\"18615296\"]\n  30 [size=\"57794560\", alpha=\"0.11\", expect_size=\"23117824\"] \n  30 -> 31 [size =\"23117824\"]\n  31 [size=\"25285120\", alpha=\"0.01\", expect_size=\"10114048\"] \n  31 -> 32 [size =\"10114048\"]\n  31 -> 33 [size =\"10114048\"]\n  32 [size=\"61068800\", alpha=\"0.17\", expect_size=\"24427520\"] \n  32 -> 35 [size =\"24427520\"]\n  33 [size=\"82470400\", alpha=\"0.10\", expect_size=\"32988160\"] \n  33 -> 34 [size =\"32988160\"]\n  33 -> 35 [size =\"32988160\"]\n  34 [size=\"61634560\", alpha=\"0.08\", expect_size=\"24653824\"] \n  35 [size=\"90872320\", alpha=\"0.13\", expect_size=\"36348928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42196992\", alpha=\"0.07\", expect_size=\"21098496\"] \n  1 -> 2 [size =\"21098496\"]\n  2 [size=\"62642176\", alpha=\"0.06\", expect_size=\"31321088\"] \n  2 -> 3 [size =\"31321088\"]\n  3 [size=\"49645568\", alpha=\"0.04\", expect_size=\"24822784\"] \n  3 -> 4 [size =\"24822784\"]\n  4 [size=\"16463872\", alpha=\"0.11\", expect_size=\"8231936\"] \n  4 -> 5 [size =\"8231936\"]\n  5 [size=\"75479040\", alpha=\"0.06\", expect_size=\"37739520\"] \n  5 -> 6 [size =\"37739520\"]\n  6 [size=\"48203776\", alpha=\"0.05\", expect_size=\"24101888\"] \n  6 -> 7 [size =\"24101888\"]\n  7 [size=\"41744384\", alpha=\"0.14\", expect_size=\"20872192\"] \n  7 -> 8 [size =\"20872192\"]\n  8 [size=\"31111168\", alpha=\"0.17\", expect_size=\"15555584\"] \n  8 -> 9 [size =\"15555584\"]\n  9 [size=\"47775744\", alpha=\"0.07\", expect_size=\"23887872\"] \n  9 -> 10 [size =\"23887872\"]\n  10 [size=\"71194624\", alpha=\"0.10\", expect_size=\"35597312\"] \n  10 -> 11 [size =\"35597312\"]\n  11 [size=\"78155776\", alpha=\"0.17\", expect_size=\"39077888\"] \n  11 -> 12 [size =\"39077888\"]\n  12 [size=\"18079744\", alpha=\"0.07\", expect_size=\"9039872\"] \n  12 -> 13 [size =\"9039872\"]\n  13 [size=\"47575040\", alpha=\"0.20\", expect_size=\"23787520\"] \n  13 -> 14 [size =\"23787520\"]\n  14 [size=\"66181120\", alpha=\"0.03\", expect_size=\"33090560\"] \n  14 -> 15 [size =\"33090560\"]\n  15 [size=\"24004608\", alpha=\"0.14\", expect_size=\"12002304\"] \n  15 -> 16 [size =\"12002304\"]\n  16 [size=\"50933760\", alpha=\"0.19\", expect_size=\"25466880\"] \n  16 -> 17 [size =\"25466880\"]\n  17 [size=\"76881920\", alpha=\"0.17\", expect_size=\"38440960\"] \n  17 -> 18 [size =\"38440960\"]\n  18 [size=\"46962688\", alpha=\"0.13\", expect_size=\"23481344\"] \n  18 -> 19 [size =\"23481344\"]\n  19 [size=\"34856960\", alpha=\"0.02\", expect_size=\"17428480\"] \n  19 -> 20 [size =\"17428480\"]\n  20 [size=\"69390336\", alpha=\"0.10\", expect_size=\"34695168\"] \n  20 -> 21 [size =\"34695168\"]\n  21 [size=\"20666368\", alpha=\"0.05\", expect_size=\"10333184\"] \n  21 -> 22 [size =\"10333184\"]\n  22 [size=\"100505600\", alpha=\"0.12\", expect_size=\"50252800\"] \n  22 -> 23 [size =\"50252800\"]\n  23 [size=\"40120320\", alpha=\"0.06\", expect_size=\"20060160\"] \n  23 -> 24 [size =\"20060160\"]\n  24 [size=\"39800832\", alpha=\"0.02\", expect_size=\"19900416\"] \n  24 -> 25 [size =\"19900416\"]\n  25 [size=\"53587968\", alpha=\"0.11\", expect_size=\"26793984\"] \n  25 -> 26 [size =\"26793984\"]\n  26 [size=\"24154112\", alpha=\"0.08\", expect_size=\"12077056\"] \n  26 -> 27 [size =\"12077056\"]\n  27 [size=\"18149376\", alpha=\"0.13\", expect_size=\"9074688\"] \n  27 -> 28 [size =\"9074688\"]\n  28 [size=\"96606208\", alpha=\"0.01\", expect_size=\"48303104\"] \n  28 -> 29 [size =\"48303104\"]\n  29 [size=\"63352832\", alpha=\"0.17\", expect_size=\"31676416\"] \n  29 -> 30 [size =\"31676416\"]\n  30 [size=\"73523200\", alpha=\"0.06\", expect_size=\"36761600\"] \n  30 -> 31 [size =\"36761600\"]\n  31 [size=\"28542976\", alpha=\"0.10\", expect_size=\"14271488\"] \n  31 -> 32 [size =\"14271488\"]\n  32 [size=\"54495232\", alpha=\"0.15\", expect_size=\"27247616\"] \n  32 -> 33 [size =\"27247616\"]\n  33 [size=\"14792704\", alpha=\"0.08\", expect_size=\"7396352\"] \n  33 -> 34 [size =\"7396352\"]\n  34 [size=\"42971136\", alpha=\"0.13\", expect_size=\"21485568\"] \n  34 -> 35 [size =\"21485568\"]\n  35 [size=\"50636800\", alpha=\"0.01\", expect_size=\"25318400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44546560\", alpha=\"0.08\", expect_size=\"17818624\"] \n  1 -> 8 [size =\"17818624\"]\n  2 [size=\"125224960\", alpha=\"0.05\", expect_size=\"50089984\"] \n  2 -> 8 [size =\"50089984\"]\n  3 [size=\"72220160\", alpha=\"0.10\", expect_size=\"28888064\"] \n  3 -> 7 [size =\"28888064\"]\n  3 -> 8 [size =\"28888064\"]\n  4 [size=\"122426880\", alpha=\"0.11\", expect_size=\"48970752\"] \n  4 -> 7 [size =\"48970752\"]\n  4 -> 8 [size =\"48970752\"]\n  5 [size=\"114242560\", alpha=\"0.17\", expect_size=\"45697024\"] \n  5 -> 7 [size =\"45697024\"]\n  5 -> 8 [size =\"45697024\"]\n  6 [size=\"118835200\", alpha=\"0.07\", expect_size=\"47534080\"] \n  6 -> 7 [size =\"47534080\"]\n  6 -> 8 [size =\"47534080\"]\n  6 -> 9 [size =\"47534080\"]\n  7 [size=\"54279680\", alpha=\"0.07\", expect_size=\"21711872\"] \n  7 -> 11 [size =\"21711872\"]\n  7 -> 12 [size =\"21711872\"]\n  7 -> 14 [size =\"21711872\"]\n  7 -> 15 [size =\"21711872\"]\n  8 [size=\"46241280\", alpha=\"0.03\", expect_size=\"18496512\"] \n  8 -> 10 [size =\"18496512\"]\n  8 -> 12 [size =\"18496512\"]\n  8 -> 14 [size =\"18496512\"]\n  9 [size=\"62632960\", alpha=\"0.13\", expect_size=\"25053184\"] \n  9 -> 10 [size =\"25053184\"]\n  9 -> 11 [size =\"25053184\"]\n  9 -> 12 [size =\"25053184\"]\n  9 -> 13 [size =\"25053184\"]\n  9 -> 14 [size =\"25053184\"]\n  9 -> 15 [size =\"25053184\"]\n  10 [size=\"92129280\", alpha=\"0.13\", expect_size=\"36851712\"] \n  10 -> 16 [size =\"36851712\"]\n  10 -> 17 [size =\"36851712\"]\n  10 -> 18 [size =\"36851712\"]\n  10 -> 19 [size =\"36851712\"]\n  11 [size=\"69519360\", alpha=\"0.15\", expect_size=\"27807744\"] \n  11 -> 16 [size =\"27807744\"]\n  11 -> 17 [size =\"27807744\"]\n  11 -> 18 [size =\"27807744\"]\n  12 [size=\"114718720\", alpha=\"0.19\", expect_size=\"45887488\"] \n  12 -> 16 [size =\"45887488\"]\n  12 -> 19 [size =\"45887488\"]\n  13 [size=\"26744320\", alpha=\"0.15\", expect_size=\"10697728\"] \n  13 -> 16 [size =\"10697728\"]\n  13 -> 17 [size =\"10697728\"]\n  13 -> 19 [size =\"10697728\"]\n  14 [size=\"84707840\", alpha=\"0.07\", expect_size=\"33883136\"] \n  14 -> 16 [size =\"33883136\"]\n  14 -> 17 [size =\"33883136\"]\n  14 -> 18 [size =\"33883136\"]\n  14 -> 19 [size =\"33883136\"]\n  15 [size=\"30223360\", alpha=\"0.19\", expect_size=\"12089344\"] \n  15 -> 17 [size =\"12089344\"]\n  15 -> 18 [size =\"12089344\"]\n  15 -> 19 [size =\"12089344\"]\n  16 [size=\"129489920\", alpha=\"0.07\", expect_size=\"51795968\"] \n  16 -> 20 [size =\"51795968\"]\n  16 -> 21 [size =\"51795968\"]\n  17 [size=\"52961280\", alpha=\"0.09\", expect_size=\"21184512\"] \n  17 -> 20 [size =\"21184512\"]\n  18 [size=\"96409600\", alpha=\"0.13\", expect_size=\"38563840\"] \n  18 -> 21 [size =\"38563840\"]\n  18 -> 22 [size =\"38563840\"]\n  19 [size=\"115079680\", alpha=\"0.13\", expect_size=\"46031872\"] \n  19 -> 21 [size =\"46031872\"]\n  20 [size=\"70978560\", alpha=\"0.06\", expect_size=\"28391424\"] \n  20 -> 23 [size =\"28391424\"]\n  20 -> 24 [size =\"28391424\"]\n  20 -> 26 [size =\"28391424\"]\n  20 -> 27 [size =\"28391424\"]\n  21 [size=\"28564480\", alpha=\"0.05\", expect_size=\"11425792\"] \n  21 -> 23 [size =\"11425792\"]\n  21 -> 24 [size =\"11425792\"]\n  21 -> 25 [size =\"11425792\"]\n  21 -> 26 [size =\"11425792\"]\n  21 -> 27 [size =\"11425792\"]\n  22 [size=\"118476800\", alpha=\"0.02\", expect_size=\"47390720\"] \n  22 -> 23 [size =\"47390720\"]\n  22 -> 24 [size =\"47390720\"]\n  22 -> 25 [size =\"47390720\"]\n  22 -> 27 [size =\"47390720\"]\n  23 [size=\"112998400\", alpha=\"0.10\", expect_size=\"45199360\"] \n  24 [size=\"81597440\", alpha=\"0.16\", expect_size=\"32638976\"] \n  24 -> 29 [size =\"32638976\"]\n  25 [size=\"123939840\", alpha=\"0.19\", expect_size=\"49575936\"] \n  25 -> 28 [size =\"49575936\"]\n  25 -> 29 [size =\"49575936\"]\n  26 [size=\"119800320\", alpha=\"0.00\", expect_size=\"47920128\"] \n  26 -> 28 [size =\"47920128\"]\n  26 -> 29 [size =\"47920128\"]\n  27 [size=\"42158080\", alpha=\"0.09\", expect_size=\"16863232\"] \n  27 -> 29 [size =\"16863232\"]\n  28 [size=\"93281280\", alpha=\"0.02\", expect_size=\"37312512\"] \n  28 -> 30 [size =\"37312512\"]\n  28 -> 31 [size =\"37312512\"]\n  28 -> 32 [size =\"37312512\"]\n  29 [size=\"54804480\", alpha=\"0.05\", expect_size=\"21921792\"] \n  29 -> 30 [size =\"21921792\"]\n  29 -> 31 [size =\"21921792\"]\n  29 -> 33 [size =\"21921792\"]\n  29 -> 34 [size =\"21921792\"]\n  29 -> 35 [size =\"21921792\"]\n  30 [size=\"130997760\", alpha=\"0.00\", expect_size=\"52399104\"] \n  31 [size=\"49290240\", alpha=\"0.05\", expect_size=\"19716096\"] \n  32 [size=\"77053440\", alpha=\"0.08\", expect_size=\"30821376\"] \n  33 [size=\"90478080\", alpha=\"0.12\", expect_size=\"36191232\"] \n  34 [size=\"30709760\", alpha=\"0.09\", expect_size=\"12283904\"] \n  35 [size=\"125032960\", alpha=\"0.09\", expect_size=\"50013184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67454976\", alpha=\"0.13\", expect_size=\"33727488\"] \n  1 -> 7 [size =\"33727488\"]\n  1 -> 8 [size =\"33727488\"]\n  1 -> 11 [size =\"33727488\"]\n  1 -> 13 [size =\"33727488\"]\n  1 -> 14 [size =\"33727488\"]\n  1 -> 15 [size =\"33727488\"]\n  1 -> 17 [size =\"33727488\"]\n  1 -> 18 [size =\"33727488\"]\n  1 -> 20 [size =\"33727488\"]\n  1 -> 23 [size =\"33727488\"]\n  2 [size=\"79458304\", alpha=\"0.17\", expect_size=\"39729152\"] \n  2 -> 9 [size =\"39729152\"]\n  2 -> 18 [size =\"39729152\"]\n  2 -> 20 [size =\"39729152\"]\n  2 -> 23 [size =\"39729152\"]\n  3 [size=\"84516864\", alpha=\"0.15\", expect_size=\"42258432\"] \n  3 -> 8 [size =\"42258432\"]\n  3 -> 9 [size =\"42258432\"]\n  3 -> 10 [size =\"42258432\"]\n  3 -> 12 [size =\"42258432\"]\n  3 -> 13 [size =\"42258432\"]\n  3 -> 14 [size =\"42258432\"]\n  3 -> 15 [size =\"42258432\"]\n  3 -> 16 [size =\"42258432\"]\n  3 -> 20 [size =\"42258432\"]\n  3 -> 21 [size =\"42258432\"]\n  3 -> 23 [size =\"42258432\"]\n  4 [size=\"103524352\", alpha=\"0.19\", expect_size=\"51762176\"] \n  4 -> 8 [size =\"51762176\"]\n  4 -> 12 [size =\"51762176\"]\n  4 -> 14 [size =\"51762176\"]\n  4 -> 17 [size =\"51762176\"]\n  4 -> 21 [size =\"51762176\"]\n  4 -> 22 [size =\"51762176\"]\n  4 -> 23 [size =\"51762176\"]\n  5 [size=\"28389376\", alpha=\"0.09\", expect_size=\"14194688\"] \n  5 -> 7 [size =\"14194688\"]\n  5 -> 12 [size =\"14194688\"]\n  5 -> 17 [size =\"14194688\"]\n  5 -> 19 [size =\"14194688\"]\n  5 -> 22 [size =\"14194688\"]\n  5 -> 22 [size =\"14194688\"]\n  6 [size=\"57647104\", alpha=\"0.10\", expect_size=\"28823552\"] \n  6 -> 7 [size =\"28823552\"]\n  6 -> 12 [size =\"28823552\"]\n  6 -> 13 [size =\"28823552\"]\n  6 -> 14 [size =\"28823552\"]\n  6 -> 19 [size =\"28823552\"]\n  6 -> 21 [size =\"28823552\"]\n  7 [size=\"76560384\", alpha=\"0.12\", expect_size=\"38280192\"] \n  7 -> 28 [size =\"38280192\"]\n  7 -> 33 [size =\"38280192\"]\n  7 -> 34 [size =\"38280192\"]\n  7 -> 35 [size =\"38280192\"]\n  8 [size=\"87767040\", alpha=\"0.15\", expect_size=\"43883520\"] \n  8 -> 25 [size =\"43883520\"]\n  8 -> 28 [size =\"43883520\"]\n  8 -> 29 [size =\"43883520\"]\n  8 -> 31 [size =\"43883520\"]\n  8 -> 33 [size =\"43883520\"]\n  8 -> 34 [size =\"43883520\"]\n  9 [size=\"101255168\", alpha=\"0.08\", expect_size=\"50627584\"] \n  9 -> 32 [size =\"50627584\"]\n  10 [size=\"52723712\", alpha=\"0.07\", expect_size=\"26361856\"] \n  10 -> 29 [size =\"26361856\"]\n  10 -> 31 [size =\"26361856\"]\n  10 -> 32 [size =\"26361856\"]\n  10 -> 33 [size =\"26361856\"]\n  11 [size=\"36853760\", alpha=\"0.19\", expect_size=\"18426880\"] \n  11 -> 25 [size =\"18426880\"]\n  11 -> 28 [size =\"18426880\"]\n  12 [size=\"95844352\", alpha=\"0.07\", expect_size=\"47922176\"] \n  12 -> 28 [size =\"47922176\"]\n  12 -> 29 [size =\"47922176\"]\n  12 -> 32 [size =\"47922176\"]\n  13 [size=\"83619840\", alpha=\"0.15\", expect_size=\"41809920\"] \n  13 -> 27 [size =\"41809920\"]\n  14 [size=\"61536256\", alpha=\"0.12\", expect_size=\"30768128\"] \n  14 -> 24 [size =\"30768128\"]\n  14 -> 28 [size =\"30768128\"]\n  14 -> 32 [size =\"30768128\"]\n  14 -> 35 [size =\"30768128\"]\n  15 [size=\"59144192\", alpha=\"0.19\", expect_size=\"29572096\"] \n  15 -> 25 [size =\"29572096\"]\n  15 -> 34 [size =\"29572096\"]\n  16 [size=\"101038080\", alpha=\"0.16\", expect_size=\"50519040\"] \n  16 -> 29 [size =\"50519040\"]\n  16 -> 33 [size =\"50519040\"]\n  16 -> 34 [size =\"50519040\"]\n  17 [size=\"52797440\", alpha=\"0.01\", expect_size=\"26398720\"] \n  17 -> 24 [size =\"26398720\"]\n  17 -> 26 [size =\"26398720\"]\n  17 -> 27 [size =\"26398720\"]\n  17 -> 28 [size =\"26398720\"]\n  17 -> 30 [size =\"26398720\"]\n  17 -> 32 [size =\"26398720\"]\n  17 -> 33 [size =\"26398720\"]\n  17 -> 34 [size =\"26398720\"]\n  17 -> 35 [size =\"26398720\"]\n  18 [size=\"17223680\", alpha=\"0.07\", expect_size=\"8611840\"] \n  18 -> 29 [size =\"8611840\"]\n  18 -> 32 [size =\"8611840\"]\n  18 -> 34 [size =\"8611840\"]\n  19 [size=\"88045568\", alpha=\"0.17\", expect_size=\"44022784\"] \n  19 -> 24 [size =\"44022784\"]\n  19 -> 27 [size =\"44022784\"]\n  19 -> 30 [size =\"44022784\"]\n  19 -> 33 [size =\"44022784\"]\n  19 -> 34 [size =\"44022784\"]\n  20 [size=\"30236672\", alpha=\"0.08\", expect_size=\"15118336\"] \n  20 -> 25 [size =\"15118336\"]\n  20 -> 28 [size =\"15118336\"]\n  20 -> 29 [size =\"15118336\"]\n  20 -> 33 [size =\"15118336\"]\n  20 -> 34 [size =\"15118336\"]\n  21 [size=\"63166464\", alpha=\"0.11\", expect_size=\"31583232\"] \n  21 -> 24 [size =\"31583232\"]\n  21 -> 27 [size =\"31583232\"]\n  21 -> 31 [size =\"31583232\"]\n  21 -> 32 [size =\"31583232\"]\n  22 [size=\"59658240\", alpha=\"0.09\", expect_size=\"29829120\"] \n  22 -> 26 [size =\"29829120\"]\n  22 -> 31 [size =\"29829120\"]\n  22 -> 33 [size =\"29829120\"]\n  23 [size=\"93278208\", alpha=\"0.02\", expect_size=\"46639104\"] \n  23 -> 28 [size =\"46639104\"]\n  24 [size=\"69918720\", alpha=\"0.15\", expect_size=\"34959360\"] \n  25 [size=\"32481280\", alpha=\"0.11\", expect_size=\"16240640\"] \n  26 [size=\"27727872\", alpha=\"0.18\", expect_size=\"13863936\"] \n  27 [size=\"103374848\", alpha=\"0.19\", expect_size=\"51687424\"] \n  28 [size=\"12486656\", alpha=\"0.16\", expect_size=\"6243328\"] \n  29 [size=\"43878400\", alpha=\"0.12\", expect_size=\"21939200\"] \n  30 [size=\"31510528\", alpha=\"0.17\", expect_size=\"15755264\"] \n  31 [size=\"70045696\", alpha=\"0.08\", expect_size=\"35022848\"] \n  32 [size=\"27709440\", alpha=\"0.17\", expect_size=\"13854720\"] \n  33 [size=\"67848192\", alpha=\"0.01\", expect_size=\"33924096\"] \n  34 [size=\"75749376\", alpha=\"0.17\", expect_size=\"37874688\"] \n  35 [size=\"50083840\", alpha=\"0.02\", expect_size=\"25041920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128788480\", alpha=\"0.09\", expect_size=\"51515392\"] \n  1 -> 5 [size =\"51515392\"]\n  1 -> 6 [size =\"51515392\"]\n  1 -> 7 [size =\"51515392\"]\n  1 -> 8 [size =\"51515392\"]\n  1 -> 9 [size =\"51515392\"]\n  2 [size=\"61675520\", alpha=\"0.06\", expect_size=\"24670208\"] \n  2 -> 4 [size =\"24670208\"]\n  2 -> 7 [size =\"24670208\"]\n  2 -> 8 [size =\"24670208\"]\n  2 -> 9 [size =\"24670208\"]\n  3 [size=\"125201920\", alpha=\"0.02\", expect_size=\"50080768\"] \n  3 -> 4 [size =\"50080768\"]\n  3 -> 5 [size =\"50080768\"]\n  3 -> 9 [size =\"50080768\"]\n  4 [size=\"37237760\", alpha=\"0.08\", expect_size=\"14895104\"] \n  4 -> 10 [size =\"14895104\"]\n  4 -> 12 [size =\"14895104\"]\n  4 -> 14 [size =\"14895104\"]\n  4 -> 15 [size =\"14895104\"]\n  4 -> 16 [size =\"14895104\"]\n  5 [size=\"92113920\", alpha=\"0.06\", expect_size=\"36845568\"] \n  5 -> 10 [size =\"36845568\"]\n  5 -> 12 [size =\"36845568\"]\n  5 -> 15 [size =\"36845568\"]\n  5 -> 16 [size =\"36845568\"]\n  6 [size=\"28915200\", alpha=\"0.06\", expect_size=\"11566080\"] \n  6 -> 12 [size =\"11566080\"]\n  6 -> 13 [size =\"11566080\"]\n  6 -> 14 [size =\"11566080\"]\n  7 [size=\"42150400\", alpha=\"0.07\", expect_size=\"16860160\"] \n  7 -> 10 [size =\"16860160\"]\n  7 -> 11 [size =\"16860160\"]\n  7 -> 13 [size =\"16860160\"]\n  8 [size=\"38100480\", alpha=\"0.14\", expect_size=\"15240192\"] \n  8 -> 13 [size =\"15240192\"]\n  8 -> 15 [size =\"15240192\"]\n  8 -> 16 [size =\"15240192\"]\n  9 [size=\"63848960\", alpha=\"0.12\", expect_size=\"25539584\"] \n  9 -> 10 [size =\"25539584\"]\n  9 -> 12 [size =\"25539584\"]\n  9 -> 14 [size =\"25539584\"]\n  9 -> 15 [size =\"25539584\"]\n  9 -> 16 [size =\"25539584\"]\n  10 [size=\"92416000\", alpha=\"0.14\", expect_size=\"36966400\"] \n  10 -> 19 [size =\"36966400\"]\n  11 [size=\"86638080\", alpha=\"0.03\", expect_size=\"34655232\"] \n  12 [size=\"21967360\", alpha=\"0.15\", expect_size=\"8786944\"] \n  12 -> 19 [size =\"8786944\"]\n  13 [size=\"55738880\", alpha=\"0.04\", expect_size=\"22295552\"] \n  13 -> 17 [size =\"22295552\"]\n  13 -> 19 [size =\"22295552\"]\n  14 [size=\"68318720\", alpha=\"0.14\", expect_size=\"27327488\"] \n  14 -> 17 [size =\"27327488\"]\n  15 [size=\"113582080\", alpha=\"0.06\", expect_size=\"45432832\"] \n  15 -> 17 [size =\"45432832\"]\n  15 -> 18 [size =\"45432832\"]\n  16 [size=\"31720960\", alpha=\"0.13\", expect_size=\"12688384\"] \n  16 -> 17 [size =\"12688384\"]\n  17 [size=\"64207360\", alpha=\"0.07\", expect_size=\"25682944\"] \n  17 -> 22 [size =\"25682944\"]\n  17 -> 23 [size =\"25682944\"]\n  17 -> 25 [size =\"25682944\"]\n  18 [size=\"105484800\", alpha=\"0.07\", expect_size=\"42193920\"] \n  18 -> 23 [size =\"42193920\"]\n  18 -> 26 [size =\"42193920\"]\n  19 [size=\"67315200\", alpha=\"0.03\", expect_size=\"26926080\"] \n  19 -> 20 [size =\"26926080\"]\n  19 -> 21 [size =\"26926080\"]\n  19 -> 24 [size =\"26926080\"]\n  19 -> 25 [size =\"26926080\"]\n  20 [size=\"21678080\", alpha=\"0.18\", expect_size=\"8671232\"] \n  20 -> 28 [size =\"8671232\"]\n  21 [size=\"101808640\", alpha=\"0.13\", expect_size=\"40723456\"] \n  22 [size=\"120675840\", alpha=\"0.17\", expect_size=\"48270336\"] \n  23 [size=\"91025920\", alpha=\"0.19\", expect_size=\"36410368\"] \n  23 -> 27 [size =\"36410368\"]\n  23 -> 28 [size =\"36410368\"]\n  24 [size=\"115215360\", alpha=\"0.05\", expect_size=\"46086144\"] \n  24 -> 28 [size =\"46086144\"]\n  24 -> 28 [size =\"46086144\"]\n  25 [size=\"76945920\", alpha=\"0.05\", expect_size=\"30778368\"] \n  25 -> 27 [size =\"30778368\"]\n  26 [size=\"113103360\", alpha=\"0.08\", expect_size=\"45241344\"] \n  26 -> 27 [size =\"45241344\"]\n  27 [size=\"73968640\", alpha=\"0.15\", expect_size=\"29587456\"] \n  27 -> 29 [size =\"29587456\"]\n  27 -> 30 [size =\"29587456\"]\n  27 -> 31 [size =\"29587456\"]\n  27 -> 32 [size =\"29587456\"]\n  27 -> 33 [size =\"29587456\"]\n  27 -> 34 [size =\"29587456\"]\n  28 [size=\"113326080\", alpha=\"0.07\", expect_size=\"45330432\"] \n  28 -> 31 [size =\"45330432\"]\n  28 -> 32 [size =\"45330432\"]\n  28 -> 34 [size =\"45330432\"]\n  28 -> 35 [size =\"45330432\"]\n  29 [size=\"35778560\", alpha=\"0.07\", expect_size=\"14311424\"] \n  30 [size=\"51996160\", alpha=\"0.01\", expect_size=\"20798464\"] \n  31 [size=\"41615360\", alpha=\"0.07\", expect_size=\"16646144\"] \n  32 [size=\"120320000\", alpha=\"0.15\", expect_size=\"48128000\"] \n  33 [size=\"100746240\", alpha=\"0.10\", expect_size=\"40298496\"] \n  34 [size=\"94993920\", alpha=\"0.14\", expect_size=\"37997568\"] \n  35 [size=\"127193600\", alpha=\"0.15\", expect_size=\"50877440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17721344\", alpha=\"0.07\", expect_size=\"8860672\"] \n  1 -> 2 [size =\"8860672\"]\n  2 [size=\"71219200\", alpha=\"0.10\", expect_size=\"35609600\"] \n  2 -> 3 [size =\"35609600\"]\n  3 [size=\"64247808\", alpha=\"0.11\", expect_size=\"32123904\"] \n  3 -> 4 [size =\"32123904\"]\n  4 [size=\"68812800\", alpha=\"0.12\", expect_size=\"34406400\"] \n  4 -> 5 [size =\"34406400\"]\n  5 [size=\"74600448\", alpha=\"0.07\", expect_size=\"37300224\"] \n  5 -> 6 [size =\"37300224\"]\n  6 [size=\"26068992\", alpha=\"0.15\", expect_size=\"13034496\"] \n  6 -> 7 [size =\"13034496\"]\n  7 [size=\"28946432\", alpha=\"0.20\", expect_size=\"14473216\"] \n  7 -> 8 [size =\"14473216\"]\n  8 [size=\"47243264\", alpha=\"0.14\", expect_size=\"23621632\"] \n  8 -> 9 [size =\"23621632\"]\n  9 [size=\"83470336\", alpha=\"0.02\", expect_size=\"41735168\"] \n  9 -> 10 [size =\"41735168\"]\n  10 [size=\"66134016\", alpha=\"0.01\", expect_size=\"33067008\"] \n  10 -> 11 [size =\"33067008\"]\n  11 [size=\"84590592\", alpha=\"0.19\", expect_size=\"42295296\"] \n  11 -> 12 [size =\"42295296\"]\n  12 [size=\"24655872\", alpha=\"0.10\", expect_size=\"12327936\"] \n  12 -> 13 [size =\"12327936\"]\n  13 [size=\"70103040\", alpha=\"0.09\", expect_size=\"35051520\"] \n  13 -> 14 [size =\"35051520\"]\n  14 [size=\"29071360\", alpha=\"0.06\", expect_size=\"14535680\"] \n  14 -> 15 [size =\"14535680\"]\n  15 [size=\"84258816\", alpha=\"0.03\", expect_size=\"42129408\"] \n  15 -> 16 [size =\"42129408\"]\n  16 [size=\"22683648\", alpha=\"0.06\", expect_size=\"11341824\"] \n  16 -> 17 [size =\"11341824\"]\n  17 [size=\"93767680\", alpha=\"0.10\", expect_size=\"46883840\"] \n  17 -> 18 [size =\"46883840\"]\n  18 [size=\"91631616\", alpha=\"0.06\", expect_size=\"45815808\"] \n  18 -> 19 [size =\"45815808\"]\n  19 [size=\"63873024\", alpha=\"0.04\", expect_size=\"31936512\"] \n  19 -> 20 [size =\"31936512\"]\n  20 [size=\"73265152\", alpha=\"0.07\", expect_size=\"36632576\"] \n  20 -> 21 [size =\"36632576\"]\n  21 [size=\"76306432\", alpha=\"0.12\", expect_size=\"38153216\"] \n  21 -> 22 [size =\"38153216\"]\n  22 [size=\"73404416\", alpha=\"0.09\", expect_size=\"36702208\"] \n  22 -> 23 [size =\"36702208\"]\n  23 [size=\"25634816\", alpha=\"0.18\", expect_size=\"12817408\"] \n  23 -> 24 [size =\"12817408\"]\n  24 [size=\"65837056\", alpha=\"0.19\", expect_size=\"32918528\"] \n  24 -> 25 [size =\"32918528\"]\n  25 [size=\"93390848\", alpha=\"0.13\", expect_size=\"46695424\"] \n  25 -> 26 [size =\"46695424\"]\n  26 [size=\"13182976\", alpha=\"0.12\", expect_size=\"6591488\"] \n  26 -> 27 [size =\"6591488\"]\n  27 [size=\"39196672\", alpha=\"0.13\", expect_size=\"19598336\"] \n  27 -> 28 [size =\"19598336\"]\n  28 [size=\"85950464\", alpha=\"0.03\", expect_size=\"42975232\"] \n  28 -> 29 [size =\"42975232\"]\n  29 [size=\"18802688\", alpha=\"0.08\", expect_size=\"9401344\"] \n  29 -> 30 [size =\"9401344\"]\n  30 [size=\"38084608\", alpha=\"0.05\", expect_size=\"19042304\"] \n  30 -> 31 [size =\"19042304\"]\n  31 [size=\"71333888\", alpha=\"0.18\", expect_size=\"35666944\"] \n  31 -> 32 [size =\"35666944\"]\n  32 [size=\"31412224\", alpha=\"0.14\", expect_size=\"15706112\"] \n  32 -> 33 [size =\"15706112\"]\n  33 [size=\"73431040\", alpha=\"0.02\", expect_size=\"36715520\"] \n  33 -> 34 [size =\"36715520\"]\n  34 [size=\"62404608\", alpha=\"0.14\", expect_size=\"31202304\"] \n  34 -> 35 [size =\"31202304\"]\n  35 [size=\"56666112\", alpha=\"0.02\", expect_size=\"28333056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110156800\", alpha=\"0.15\", expect_size=\"44062720\"] \n  1 -> 2 [size =\"44062720\"]\n  2 [size=\"86336000\", alpha=\"0.17\", expect_size=\"34534400\"] \n  2 -> 3 [size =\"34534400\"]\n  3 [size=\"65495040\", alpha=\"0.09\", expect_size=\"26198016\"] \n  3 -> 4 [size =\"26198016\"]\n  4 [size=\"90439680\", alpha=\"0.14\", expect_size=\"36175872\"] \n  4 -> 5 [size =\"36175872\"]\n  5 [size=\"71488000\", alpha=\"0.10\", expect_size=\"28595200\"] \n  5 -> 6 [size =\"28595200\"]\n  6 [size=\"21068800\", alpha=\"0.13\", expect_size=\"8427520\"] \n  6 -> 7 [size =\"8427520\"]\n  7 [size=\"64384000\", alpha=\"0.01\", expect_size=\"25753600\"] \n  7 -> 8 [size =\"25753600\"]\n  8 [size=\"80965120\", alpha=\"0.20\", expect_size=\"32386048\"] \n  8 -> 9 [size =\"32386048\"]\n  9 [size=\"127470080\", alpha=\"0.04\", expect_size=\"50988032\"] \n  9 -> 10 [size =\"50988032\"]\n  10 [size=\"14274560\", alpha=\"0.09\", expect_size=\"5709824\"] \n  10 -> 11 [size =\"5709824\"]\n  11 [size=\"112972800\", alpha=\"0.01\", expect_size=\"45189120\"] \n  11 -> 12 [size =\"45189120\"]\n  12 [size=\"82055680\", alpha=\"0.13\", expect_size=\"32822272\"] \n  12 -> 13 [size =\"32822272\"]\n  13 [size=\"63841280\", alpha=\"0.15\", expect_size=\"25536512\"] \n  13 -> 14 [size =\"25536512\"]\n  14 [size=\"115438080\", alpha=\"0.10\", expect_size=\"46175232\"] \n  14 -> 15 [size =\"46175232\"]\n  15 [size=\"81666560\", alpha=\"0.11\", expect_size=\"32666624\"] \n  15 -> 16 [size =\"32666624\"]\n  16 [size=\"23564800\", alpha=\"0.11\", expect_size=\"9425920\"] \n  16 -> 17 [size =\"9425920\"]\n  17 [size=\"100167680\", alpha=\"0.16\", expect_size=\"40067072\"] \n  17 -> 18 [size =\"40067072\"]\n  18 [size=\"106214400\", alpha=\"0.15\", expect_size=\"42485760\"] \n  18 -> 19 [size =\"42485760\"]\n  19 [size=\"106145280\", alpha=\"0.07\", expect_size=\"42458112\"] \n  19 -> 20 [size =\"42458112\"]\n  20 [size=\"129341440\", alpha=\"0.20\", expect_size=\"51736576\"] \n  20 -> 21 [size =\"51736576\"]\n  21 [size=\"63795200\", alpha=\"0.09\", expect_size=\"25518080\"] \n  21 -> 22 [size =\"25518080\"]\n  22 [size=\"72629760\", alpha=\"0.11\", expect_size=\"29051904\"] \n  22 -> 23 [size =\"29051904\"]\n  23 [size=\"33387520\", alpha=\"0.01\", expect_size=\"13355008\"] \n  23 -> 24 [size =\"13355008\"]\n  24 [size=\"119772160\", alpha=\"0.05\", expect_size=\"47908864\"] \n  24 -> 25 [size =\"47908864\"]\n  25 [size=\"61913600\", alpha=\"0.18\", expect_size=\"24765440\"] \n  25 -> 26 [size =\"24765440\"]\n  26 [size=\"127293440\", alpha=\"0.13\", expect_size=\"50917376\"] \n  26 -> 27 [size =\"50917376\"]\n  27 [size=\"75980800\", alpha=\"0.16\", expect_size=\"30392320\"] \n  27 -> 28 [size =\"30392320\"]\n  28 [size=\"51609600\", alpha=\"0.11\", expect_size=\"20643840\"] \n  28 -> 29 [size =\"20643840\"]\n  29 [size=\"19655680\", alpha=\"0.06\", expect_size=\"7862272\"] \n  29 -> 30 [size =\"7862272\"]\n  30 [size=\"62479360\", alpha=\"0.00\", expect_size=\"24991744\"] \n  30 -> 31 [size =\"24991744\"]\n  31 [size=\"62146560\", alpha=\"0.12\", expect_size=\"24858624\"] \n  31 -> 32 [size =\"24858624\"]\n  32 [size=\"115709440\", alpha=\"0.15\", expect_size=\"46283776\"] \n  32 -> 33 [size =\"46283776\"]\n  33 [size=\"60472320\", alpha=\"0.07\", expect_size=\"24188928\"] \n  33 -> 34 [size =\"24188928\"]\n  34 [size=\"66782720\", alpha=\"0.16\", expect_size=\"26713088\"] \n  34 -> 35 [size =\"26713088\"]\n  35 [size=\"94010880\", alpha=\"0.17\", expect_size=\"37604352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82568533\", alpha=\"0.03\", expect_size=\"24770560\"] \n  1 -> 2 [size =\"24770560\"]\n  2 [size=\"107820373\", alpha=\"0.09\", expect_size=\"32346112\"] \n  2 -> 3 [size =\"32346112\"]\n  3 [size=\"99891200\", alpha=\"0.07\", expect_size=\"29967360\"] \n  3 -> 4 [size =\"29967360\"]\n  4 [size=\"46032213\", alpha=\"0.16\", expect_size=\"13809664\"] \n  4 -> 5 [size =\"13809664\"]\n  5 [size=\"35276800\", alpha=\"0.19\", expect_size=\"10583040\"] \n  5 -> 6 [size =\"10583040\"]\n  6 [size=\"163973120\", alpha=\"0.19\", expect_size=\"49191936\"] \n  6 -> 7 [size =\"49191936\"]\n  7 [size=\"155641173\", alpha=\"0.03\", expect_size=\"46692352\"] \n  7 -> 8 [size =\"46692352\"]\n  8 [size=\"103089493\", alpha=\"0.16\", expect_size=\"30926848\"] \n  8 -> 9 [size =\"30926848\"]\n  9 [size=\"116510720\", alpha=\"0.09\", expect_size=\"34953216\"] \n  9 -> 10 [size =\"34953216\"]\n  10 [size=\"75301547\", alpha=\"0.15\", expect_size=\"22590464\"] \n  10 -> 11 [size =\"22590464\"]\n  11 [size=\"116449280\", alpha=\"0.09\", expect_size=\"34934784\"] \n  11 -> 12 [size =\"34934784\"]\n  12 [size=\"141281280\", alpha=\"0.18\", expect_size=\"42384384\"] \n  12 -> 13 [size =\"42384384\"]\n  13 [size=\"54712320\", alpha=\"0.02\", expect_size=\"16413696\"] \n  13 -> 14 [size =\"16413696\"]\n  14 [size=\"108584960\", alpha=\"0.03\", expect_size=\"32575488\"] \n  14 -> 15 [size =\"32575488\"]\n  15 [size=\"75417600\", alpha=\"0.16\", expect_size=\"22625280\"] \n  15 -> 16 [size =\"22625280\"]\n  16 [size=\"67140267\", alpha=\"0.17\", expect_size=\"20142080\"] \n  16 -> 17 [size =\"20142080\"]\n  17 [size=\"62757547\", alpha=\"0.04\", expect_size=\"18827264\"] \n  17 -> 18 [size =\"18827264\"]\n  18 [size=\"89125547\", alpha=\"0.02\", expect_size=\"26737664\"] \n  18 -> 19 [size =\"26737664\"]\n  19 [size=\"57852587\", alpha=\"0.15\", expect_size=\"17355776\"] \n  19 -> 20 [size =\"17355776\"]\n  20 [size=\"127525547\", alpha=\"0.02\", expect_size=\"38257664\"] \n  20 -> 21 [size =\"38257664\"]\n  21 [size=\"85282133\", alpha=\"0.17\", expect_size=\"25584640\"] \n  21 -> 22 [size =\"25584640\"]\n  22 [size=\"158958933\", alpha=\"0.03\", expect_size=\"47687680\"] \n  22 -> 23 [size =\"47687680\"]\n  23 [size=\"144322560\", alpha=\"0.00\", expect_size=\"43296768\"] \n  23 -> 24 [size =\"43296768\"]\n  24 [size=\"156965547\", alpha=\"0.01\", expect_size=\"47089664\"] \n  24 -> 25 [size =\"47089664\"]\n  25 [size=\"27194027\", alpha=\"0.04\", expect_size=\"8158208\"] \n  25 -> 26 [size =\"8158208\"]\n  26 [size=\"152231253\", alpha=\"0.06\", expect_size=\"45669376\"] \n  26 -> 27 [size =\"45669376\"]\n  27 [size=\"125955413\", alpha=\"0.05\", expect_size=\"37786624\"] \n  27 -> 28 [size =\"37786624\"]\n  28 [size=\"159655253\", alpha=\"0.15\", expect_size=\"47896576\"] \n  28 -> 29 [size =\"47896576\"]\n  29 [size=\"17582080\", alpha=\"0.18\", expect_size=\"5274624\"] \n  29 -> 30 [size =\"5274624\"]\n  30 [size=\"133946027\", alpha=\"0.08\", expect_size=\"40183808\"] \n  30 -> 31 [size =\"40183808\"]\n  31 [size=\"146739200\", alpha=\"0.10\", expect_size=\"44021760\"] \n  31 -> 32 [size =\"44021760\"]\n  32 [size=\"121050453\", alpha=\"0.08\", expect_size=\"36315136\"] \n  32 -> 33 [size =\"36315136\"]\n  33 [size=\"147227307\", alpha=\"0.12\", expect_size=\"44168192\"] \n  33 -> 34 [size =\"44168192\"]\n  34 [size=\"150398293\", alpha=\"0.06\", expect_size=\"45119488\"] \n  34 -> 35 [size =\"45119488\"]\n  35 [size=\"159122773\", alpha=\"0.08\", expect_size=\"47736832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144762880\", alpha=\"0.09\", expect_size=\"43428864\"] \n  1 -> 6 [size =\"43428864\"]\n  1 -> 8 [size =\"43428864\"]\n  1 -> 9 [size =\"43428864\"]\n  2 [size=\"104782507\", alpha=\"0.05\", expect_size=\"31434752\"] \n  2 -> 8 [size =\"31434752\"]\n  3 [size=\"159081813\", alpha=\"0.16\", expect_size=\"47724544\"] \n  3 -> 5 [size =\"47724544\"]\n  3 -> 6 [size =\"47724544\"]\n  3 -> 7 [size =\"47724544\"]\n  4 [size=\"25272320\", alpha=\"0.03\", expect_size=\"7581696\"] \n  4 -> 8 [size =\"7581696\"]\n  5 [size=\"105192107\", alpha=\"0.17\", expect_size=\"31557632\"] \n  6 [size=\"108724907\", alpha=\"0.12\", expect_size=\"32617472\"] \n  6 -> 10 [size =\"32617472\"]\n  6 -> 12 [size =\"32617472\"]\n  7 [size=\"82688000\", alpha=\"0.15\", expect_size=\"24806400\"] \n  7 -> 10 [size =\"24806400\"]\n  7 -> 11 [size =\"24806400\"]\n  8 [size=\"156142933\", alpha=\"0.03\", expect_size=\"46842880\"] \n  8 -> 12 [size =\"46842880\"]\n  8 -> 13 [size =\"46842880\"]\n  9 [size=\"118882987\", alpha=\"0.16\", expect_size=\"35664896\"] \n  9 -> 13 [size =\"35664896\"]\n  10 [size=\"53234347\", alpha=\"0.08\", expect_size=\"15970304\"] \n  10 -> 15 [size =\"15970304\"]\n  10 -> 16 [size =\"15970304\"]\n  10 -> 17 [size =\"15970304\"]\n  10 -> 18 [size =\"15970304\"]\n  11 [size=\"171117227\", alpha=\"0.07\", expect_size=\"51335168\"] \n  11 -> 14 [size =\"51335168\"]\n  11 -> 15 [size =\"51335168\"]\n  11 -> 16 [size =\"51335168\"]\n  11 -> 17 [size =\"51335168\"]\n  11 -> 18 [size =\"51335168\"]\n  12 [size=\"87309653\", alpha=\"0.01\", expect_size=\"26192896\"] \n  12 -> 14 [size =\"26192896\"]\n  12 -> 17 [size =\"26192896\"]\n  13 [size=\"128112640\", alpha=\"0.18\", expect_size=\"38433792\"] \n  13 -> 14 [size =\"38433792\"]\n  13 -> 18 [size =\"38433792\"]\n  14 [size=\"95498240\", alpha=\"0.09\", expect_size=\"28649472\"] \n  14 -> 19 [size =\"28649472\"]\n  14 -> 21 [size =\"28649472\"]\n  14 -> 22 [size =\"28649472\"]\n  15 [size=\"117381120\", alpha=\"0.12\", expect_size=\"35214336\"] \n  15 -> 19 [size =\"35214336\"]\n  15 -> 20 [size =\"35214336\"]\n  15 -> 22 [size =\"35214336\"]\n  16 [size=\"93641387\", alpha=\"0.05\", expect_size=\"28092416\"] \n  16 -> 21 [size =\"28092416\"]\n  16 -> 22 [size =\"28092416\"]\n  16 -> 23 [size =\"28092416\"]\n  17 [size=\"33850027\", alpha=\"0.15\", expect_size=\"10155008\"] \n  17 -> 20 [size =\"10155008\"]\n  17 -> 21 [size =\"10155008\"]\n  18 [size=\"154074453\", alpha=\"0.12\", expect_size=\"46222336\"] \n  18 -> 19 [size =\"46222336\"]\n  18 -> 21 [size =\"46222336\"]\n  18 -> 22 [size =\"46222336\"]\n  19 [size=\"17544533\", alpha=\"0.14\", expect_size=\"5263360\"] \n  19 -> 24 [size =\"5263360\"]\n  19 -> 27 [size =\"5263360\"]\n  20 [size=\"142346240\", alpha=\"0.04\", expect_size=\"42703872\"] \n  20 -> 25 [size =\"42703872\"]\n  20 -> 27 [size =\"42703872\"]\n  21 [size=\"49367040\", alpha=\"0.10\", expect_size=\"14810112\"] \n  21 -> 27 [size =\"14810112\"]\n  22 [size=\"106980693\", alpha=\"0.07\", expect_size=\"32094208\"] \n  22 -> 26 [size =\"32094208\"]\n  23 [size=\"116002133\", alpha=\"0.03\", expect_size=\"34800640\"] \n  23 -> 25 [size =\"34800640\"]\n  23 -> 27 [size =\"34800640\"]\n  24 [size=\"103065600\", alpha=\"0.19\", expect_size=\"30919680\"] \n  24 -> 30 [size =\"30919680\"]\n  24 -> 31 [size =\"30919680\"]\n  25 [size=\"174759253\", alpha=\"0.06\", expect_size=\"52427776\"] \n  25 -> 29 [size =\"52427776\"]\n  25 -> 32 [size =\"52427776\"]\n  26 [size=\"108871680\", alpha=\"0.05\", expect_size=\"32661504\"] \n  26 -> 28 [size =\"32661504\"]\n  26 -> 31 [size =\"32661504\"]\n  26 -> 32 [size =\"32661504\"]\n  27 [size=\"144469333\", alpha=\"0.13\", expect_size=\"43340800\"] \n  27 -> 28 [size =\"43340800\"]\n  27 -> 31 [size =\"43340800\"]\n  28 [size=\"103495680\", alpha=\"0.18\", expect_size=\"31048704\"] \n  28 -> 34 [size =\"31048704\"]\n  28 -> 35 [size =\"31048704\"]\n  29 [size=\"40553813\", alpha=\"0.15\", expect_size=\"12166144\"] \n  29 -> 33 [size =\"12166144\"]\n  29 -> 34 [size =\"12166144\"]\n  29 -> 35 [size =\"12166144\"]\n  30 [size=\"152166400\", alpha=\"0.18\", expect_size=\"45649920\"] \n  30 -> 35 [size =\"45649920\"]\n  31 [size=\"27395413\", alpha=\"0.20\", expect_size=\"8218624\"] \n  31 -> 33 [size =\"8218624\"]\n  32 [size=\"108100267\", alpha=\"0.10\", expect_size=\"32430080\"] \n  32 -> 33 [size =\"32430080\"]\n  32 -> 34 [size =\"32430080\"]\n  32 -> 35 [size =\"32430080\"]\n  33 [size=\"167017813\", alpha=\"0.15\", expect_size=\"50105344\"] \n  34 [size=\"31184213\", alpha=\"0.10\", expect_size=\"9355264\"] \n  35 [size=\"22968320\", alpha=\"0.17\", expect_size=\"6890496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25735680\", alpha=\"0.05\", expect_size=\"10294272\"] \n  1 -> 2 [size =\"10294272\"]\n  2 [size=\"66949120\", alpha=\"0.17\", expect_size=\"26779648\"] \n  2 -> 3 [size =\"26779648\"]\n  3 [size=\"125649920\", alpha=\"0.08\", expect_size=\"50259968\"] \n  3 -> 4 [size =\"50259968\"]\n  4 [size=\"111086080\", alpha=\"0.03\", expect_size=\"44434432\"] \n  4 -> 5 [size =\"44434432\"]\n  5 [size=\"13401600\", alpha=\"0.12\", expect_size=\"5360640\"] \n  5 -> 6 [size =\"5360640\"]\n  6 [size=\"70246400\", alpha=\"0.08\", expect_size=\"28098560\"] \n  6 -> 7 [size =\"28098560\"]\n  7 [size=\"102968320\", alpha=\"0.00\", expect_size=\"41187328\"] \n  7 -> 8 [size =\"41187328\"]\n  8 [size=\"56440320\", alpha=\"0.09\", expect_size=\"22576128\"] \n  8 -> 9 [size =\"22576128\"]\n  9 [size=\"113282560\", alpha=\"0.12\", expect_size=\"45313024\"] \n  9 -> 10 [size =\"45313024\"]\n  10 [size=\"121856000\", alpha=\"0.02\", expect_size=\"48742400\"] \n  10 -> 11 [size =\"48742400\"]\n  11 [size=\"48985600\", alpha=\"0.19\", expect_size=\"19594240\"] \n  11 -> 12 [size =\"19594240\"]\n  12 [size=\"76034560\", alpha=\"0.04\", expect_size=\"30413824\"] \n  12 -> 13 [size =\"30413824\"]\n  13 [size=\"60446720\", alpha=\"0.08\", expect_size=\"24178688\"] \n  13 -> 14 [size =\"24178688\"]\n  14 [size=\"104785920\", alpha=\"0.09\", expect_size=\"41914368\"] \n  14 -> 15 [size =\"41914368\"]\n  15 [size=\"125201920\", alpha=\"0.03\", expect_size=\"50080768\"] \n  15 -> 16 [size =\"50080768\"]\n  16 [size=\"80263680\", alpha=\"0.11\", expect_size=\"32105472\"] \n  16 -> 17 [size =\"32105472\"]\n  17 [size=\"124966400\", alpha=\"0.06\", expect_size=\"49986560\"] \n  17 -> 18 [size =\"49986560\"]\n  18 [size=\"126760960\", alpha=\"0.19\", expect_size=\"50704384\"] \n  18 -> 19 [size =\"50704384\"]\n  19 [size=\"62827520\", alpha=\"0.12\", expect_size=\"25131008\"] \n  19 -> 20 [size =\"25131008\"]\n  20 [size=\"15301120\", alpha=\"0.19\", expect_size=\"6120448\"] \n  20 -> 21 [size =\"6120448\"]\n  21 [size=\"27159040\", alpha=\"0.07\", expect_size=\"10863616\"] \n  21 -> 22 [size =\"10863616\"]\n  22 [size=\"20587520\", alpha=\"0.05\", expect_size=\"8235008\"] \n  22 -> 23 [size =\"8235008\"]\n  23 [size=\"46760960\", alpha=\"0.02\", expect_size=\"18704384\"] \n  23 -> 24 [size =\"18704384\"]\n  24 [size=\"93278720\", alpha=\"0.16\", expect_size=\"37311488\"] \n  24 -> 25 [size =\"37311488\"]\n  25 [size=\"30673920\", alpha=\"0.09\", expect_size=\"12269568\"] \n  25 -> 26 [size =\"12269568\"]\n  26 [size=\"47738880\", alpha=\"0.12\", expect_size=\"19095552\"] \n  26 -> 27 [size =\"19095552\"]\n  27 [size=\"112458240\", alpha=\"0.11\", expect_size=\"44983296\"] \n  27 -> 28 [size =\"44983296\"]\n  28 [size=\"30568960\", alpha=\"0.17\", expect_size=\"12227584\"] \n  28 -> 29 [size =\"12227584\"]\n  29 [size=\"22694400\", alpha=\"0.20\", expect_size=\"9077760\"] \n  29 -> 30 [size =\"9077760\"]\n  30 [size=\"94914560\", alpha=\"0.01\", expect_size=\"37965824\"] \n  30 -> 31 [size =\"37965824\"]\n  31 [size=\"87741440\", alpha=\"0.08\", expect_size=\"35096576\"] \n  31 -> 32 [size =\"35096576\"]\n  32 [size=\"13808640\", alpha=\"0.06\", expect_size=\"5523456\"] \n  32 -> 33 [size =\"5523456\"]\n  33 [size=\"44920320\", alpha=\"0.12\", expect_size=\"17968128\"] \n  33 -> 34 [size =\"17968128\"]\n  34 [size=\"57692160\", alpha=\"0.14\", expect_size=\"23076864\"] \n  34 -> 35 [size =\"23076864\"]\n  35 [size=\"32135680\", alpha=\"0.14\", expect_size=\"12854272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25911296\", alpha=\"0.01\", expect_size=\"12955648\"] \n  1 -> 2 [size =\"12955648\"]\n  1 -> 3 [size =\"12955648\"]\n  2 [size=\"61493248\", alpha=\"0.06\", expect_size=\"30746624\"] \n  3 [size=\"70709248\", alpha=\"0.17\", expect_size=\"35354624\"] \n  3 -> 4 [size =\"35354624\"]\n  4 [size=\"99151872\", alpha=\"0.06\", expect_size=\"49575936\"] \n  4 -> 5 [size =\"49575936\"]\n  4 -> 6 [size =\"49575936\"]\n  5 [size=\"93708288\", alpha=\"0.01\", expect_size=\"46854144\"] \n  5 -> 8 [size =\"46854144\"]\n  6 [size=\"52185088\", alpha=\"0.02\", expect_size=\"26092544\"] \n  6 -> 7 [size =\"26092544\"]\n  7 [size=\"80207872\", alpha=\"0.16\", expect_size=\"40103936\"] \n  7 -> 9 [size =\"40103936\"]\n  7 -> 10 [size =\"40103936\"]\n  8 [size=\"61093888\", alpha=\"0.04\", expect_size=\"30546944\"] \n  8 -> 9 [size =\"30546944\"]\n  8 -> 10 [size =\"30546944\"]\n  9 [size=\"32847872\", alpha=\"0.16\", expect_size=\"16423936\"] \n  9 -> 11 [size =\"16423936\"]\n  9 -> 12 [size =\"16423936\"]\n  10 [size=\"15253504\", alpha=\"0.03\", expect_size=\"7626752\"] \n  10 -> 11 [size =\"7626752\"]\n  10 -> 12 [size =\"7626752\"]\n  11 [size=\"47896576\", alpha=\"0.15\", expect_size=\"23948288\"] \n  11 -> 13 [size =\"23948288\"]\n  11 -> 14 [size =\"23948288\"]\n  12 [size=\"54380544\", alpha=\"0.20\", expect_size=\"27190272\"] \n  12 -> 13 [size =\"27190272\"]\n  12 -> 14 [size =\"27190272\"]\n  13 [size=\"82878464\", alpha=\"0.13\", expect_size=\"41439232\"] \n  13 -> 15 [size =\"41439232\"]\n  14 [size=\"67145728\", alpha=\"0.04\", expect_size=\"33572864\"] \n  14 -> 15 [size =\"33572864\"]\n  15 [size=\"95059968\", alpha=\"0.12\", expect_size=\"47529984\"] \n  15 -> 16 [size =\"47529984\"]\n  16 [size=\"101617664\", alpha=\"0.18\", expect_size=\"50808832\"] \n  16 -> 17 [size =\"50808832\"]\n  17 [size=\"17108992\", alpha=\"0.05\", expect_size=\"8554496\"] \n  17 -> 18 [size =\"8554496\"]\n  17 -> 19 [size =\"8554496\"]\n  18 [size=\"93722624\", alpha=\"0.11\", expect_size=\"46861312\"] \n  18 -> 20 [size =\"46861312\"]\n  18 -> 21 [size =\"46861312\"]\n  19 [size=\"16728064\", alpha=\"0.17\", expect_size=\"8364032\"] \n  19 -> 20 [size =\"8364032\"]\n  20 [size=\"91990016\", alpha=\"0.19\", expect_size=\"45995008\"] \n  20 -> 22 [size =\"45995008\"]\n  21 [size=\"12019712\", alpha=\"0.05\", expect_size=\"6009856\"] \n  21 -> 22 [size =\"6009856\"]\n  21 -> 23 [size =\"6009856\"]\n  22 [size=\"80588800\", alpha=\"0.01\", expect_size=\"40294400\"] \n  22 -> 24 [size =\"40294400\"]\n  23 [size=\"79759360\", alpha=\"0.10\", expect_size=\"39879680\"] \n  24 [size=\"45862912\", alpha=\"0.18\", expect_size=\"22931456\"] \n  24 -> 25 [size =\"22931456\"]\n  24 -> 26 [size =\"22931456\"]\n  25 [size=\"65468416\", alpha=\"0.03\", expect_size=\"32734208\"] \n  26 [size=\"27285504\", alpha=\"0.17\", expect_size=\"13642752\"] \n  26 -> 27 [size =\"13642752\"]\n  27 [size=\"19251200\", alpha=\"0.06\", expect_size=\"9625600\"] \n  27 -> 28 [size =\"9625600\"]\n  27 -> 29 [size =\"9625600\"]\n  28 [size=\"42055680\", alpha=\"0.06\", expect_size=\"21027840\"] \n  28 -> 30 [size =\"21027840\"]\n  29 [size=\"92778496\", alpha=\"0.11\", expect_size=\"46389248\"] \n  29 -> 30 [size =\"46389248\"]\n  29 -> 31 [size =\"46389248\"]\n  30 [size=\"79104000\", alpha=\"0.16\", expect_size=\"39552000\"] \n  30 -> 33 [size =\"39552000\"]\n  31 [size=\"75528192\", alpha=\"0.09\", expect_size=\"37764096\"] \n  31 -> 32 [size =\"37764096\"]\n  31 -> 33 [size =\"37764096\"]\n  32 [size=\"97476608\", alpha=\"0.12\", expect_size=\"48738304\"] \n  33 [size=\"101588992\", alpha=\"0.10\", expect_size=\"50794496\"] \n  33 -> 34 [size =\"50794496\"]\n  34 [size=\"53719040\", alpha=\"0.00\", expect_size=\"26859520\"] \n  34 -> 35 [size =\"26859520\"]\n  35 [size=\"42530816\", alpha=\"0.08\", expect_size=\"21265408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15861760\", alpha=\"0.19\", expect_size=\"6344704\"] \n  1 -> 7 [size =\"6344704\"]\n  1 -> 8 [size =\"6344704\"]\n  1 -> 9 [size =\"6344704\"]\n  2 [size=\"16483840\", alpha=\"0.02\", expect_size=\"6593536\"] \n  2 -> 6 [size =\"6593536\"]\n  2 -> 7 [size =\"6593536\"]\n  2 -> 9 [size =\"6593536\"]\n  2 -> 10 [size =\"6593536\"]\n  2 -> 11 [size =\"6593536\"]\n  3 [size=\"81044480\", alpha=\"0.03\", expect_size=\"32417792\"] \n  4 [size=\"118054400\", alpha=\"0.04\", expect_size=\"47221760\"] \n  4 -> 9 [size =\"47221760\"]\n  5 [size=\"86179840\", alpha=\"0.19\", expect_size=\"34471936\"] \n  5 -> 7 [size =\"34471936\"]\n  5 -> 8 [size =\"34471936\"]\n  6 [size=\"22254080\", alpha=\"0.11\", expect_size=\"8901632\"] \n  7 [size=\"14300160\", alpha=\"0.14\", expect_size=\"5720064\"] \n  7 -> 16 [size =\"5720064\"]\n  8 [size=\"52894720\", alpha=\"0.12\", expect_size=\"21157888\"] \n  8 -> 13 [size =\"21157888\"]\n  8 -> 14 [size =\"21157888\"]\n  9 [size=\"114442240\", alpha=\"0.03\", expect_size=\"45776896\"] \n  9 -> 15 [size =\"45776896\"]\n  10 [size=\"65702400\", alpha=\"0.17\", expect_size=\"26280960\"] \n  10 -> 14 [size =\"26280960\"]\n  11 [size=\"99566080\", alpha=\"0.10\", expect_size=\"39826432\"] \n  11 -> 12 [size =\"39826432\"]\n  11 -> 14 [size =\"39826432\"]\n  12 [size=\"96273920\", alpha=\"0.11\", expect_size=\"38509568\"] \n  13 [size=\"108869120\", alpha=\"0.08\", expect_size=\"43547648\"] \n  13 -> 17 [size =\"43547648\"]\n  13 -> 21 [size =\"43547648\"]\n  14 [size=\"123916800\", alpha=\"0.11\", expect_size=\"49566720\"] \n  14 -> 19 [size =\"49566720\"]\n  14 -> 20 [size =\"49566720\"]\n  14 -> 21 [size =\"49566720\"]\n  15 [size=\"30563840\", alpha=\"0.11\", expect_size=\"12225536\"] \n  15 -> 18 [size =\"12225536\"]\n  15 -> 19 [size =\"12225536\"]\n  15 -> 20 [size =\"12225536\"]\n  16 [size=\"26321920\", alpha=\"0.17\", expect_size=\"10528768\"] \n  16 -> 19 [size =\"10528768\"]\n  17 [size=\"89853440\", alpha=\"0.11\", expect_size=\"35941376\"] \n  17 -> 22 [size =\"35941376\"]\n  18 [size=\"55009280\", alpha=\"0.16\", expect_size=\"22003712\"] \n  18 -> 22 [size =\"22003712\"]\n  18 -> 23 [size =\"22003712\"]\n  18 -> 26 [size =\"22003712\"]\n  19 [size=\"123179520\", alpha=\"0.17\", expect_size=\"49271808\"] \n  19 -> 23 [size =\"49271808\"]\n  20 [size=\"22481920\", alpha=\"0.11\", expect_size=\"8992768\"] \n  20 -> 22 [size =\"8992768\"]\n  20 -> 24 [size =\"8992768\"]\n  21 [size=\"124206080\", alpha=\"0.06\", expect_size=\"49682432\"] \n  21 -> 24 [size =\"49682432\"]\n  21 -> 25 [size =\"49682432\"]\n  21 -> 26 [size =\"49682432\"]\n  22 [size=\"66255360\", alpha=\"0.01\", expect_size=\"26502144\"] \n  22 -> 27 [size =\"26502144\"]\n  23 [size=\"129968640\", alpha=\"0.08\", expect_size=\"51987456\"] \n  23 -> 31 [size =\"51987456\"]\n  24 [size=\"58677760\", alpha=\"0.12\", expect_size=\"23471104\"] \n  24 -> 28 [size =\"23471104\"]\n  24 -> 29 [size =\"23471104\"]\n  24 -> 31 [size =\"23471104\"]\n  24 -> 32 [size =\"23471104\"]\n  25 [size=\"122076160\", alpha=\"0.09\", expect_size=\"48830464\"] \n  25 -> 30 [size =\"48830464\"]\n  25 -> 31 [size =\"48830464\"]\n  26 [size=\"67450880\", alpha=\"0.08\", expect_size=\"26980352\"] \n  26 -> 27 [size =\"26980352\"]\n  26 -> 30 [size =\"26980352\"]\n  27 [size=\"50088960\", alpha=\"0.06\", expect_size=\"20035584\"] \n  27 -> 33 [size =\"20035584\"]\n  27 -> 34 [size =\"20035584\"]\n  28 [size=\"113390080\", alpha=\"0.12\", expect_size=\"45356032\"] \n  28 -> 35 [size =\"45356032\"]\n  29 [size=\"91427840\", alpha=\"0.15\", expect_size=\"36571136\"] \n  30 [size=\"71969280\", alpha=\"0.06\", expect_size=\"28787712\"] \n  31 [size=\"18414080\", alpha=\"0.12\", expect_size=\"7365632\"] \n  31 -> 33 [size =\"7365632\"]\n  31 -> 35 [size =\"7365632\"]\n  32 [size=\"51486720\", alpha=\"0.13\", expect_size=\"20594688\"] \n  32 -> 33 [size =\"20594688\"]\n  33 [size=\"56599040\", alpha=\"0.09\", expect_size=\"22639616\"] \n  34 [size=\"101688320\", alpha=\"0.04\", expect_size=\"40675328\"] \n  35 [size=\"55779840\", alpha=\"0.03\", expect_size=\"22311936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59312128\", alpha=\"0.09\", expect_size=\"29656064\"] \n  1 -> 2 [size =\"29656064\"]\n  2 [size=\"22493184\", alpha=\"0.02\", expect_size=\"11246592\"] \n  2 -> 3 [size =\"11246592\"]\n  3 [size=\"73740288\", alpha=\"0.00\", expect_size=\"36870144\"] \n  3 -> 4 [size =\"36870144\"]\n  4 [size=\"90140672\", alpha=\"0.01\", expect_size=\"45070336\"] \n  4 -> 5 [size =\"45070336\"]\n  5 [size=\"18962432\", alpha=\"0.02\", expect_size=\"9481216\"] \n  5 -> 6 [size =\"9481216\"]\n  6 [size=\"12754944\", alpha=\"0.04\", expect_size=\"6377472\"] \n  6 -> 7 [size =\"6377472\"]\n  7 [size=\"104495104\", alpha=\"0.03\", expect_size=\"52247552\"] \n  7 -> 8 [size =\"52247552\"]\n  8 [size=\"100251648\", alpha=\"0.15\", expect_size=\"50125824\"] \n  8 -> 9 [size =\"50125824\"]\n  9 [size=\"53579776\", alpha=\"0.01\", expect_size=\"26789888\"] \n  9 -> 10 [size =\"26789888\"]\n  10 [size=\"29046784\", alpha=\"0.10\", expect_size=\"14523392\"] \n  10 -> 11 [size =\"14523392\"]\n  11 [size=\"25497600\", alpha=\"0.12\", expect_size=\"12748800\"] \n  11 -> 12 [size =\"12748800\"]\n  12 [size=\"69470208\", alpha=\"0.20\", expect_size=\"34735104\"] \n  12 -> 13 [size =\"34735104\"]\n  13 [size=\"78985216\", alpha=\"0.04\", expect_size=\"39492608\"] \n  13 -> 14 [size =\"39492608\"]\n  14 [size=\"79222784\", alpha=\"0.05\", expect_size=\"39611392\"] \n  14 -> 15 [size =\"39611392\"]\n  15 [size=\"83027968\", alpha=\"0.10\", expect_size=\"41513984\"] \n  15 -> 16 [size =\"41513984\"]\n  16 [size=\"94822400\", alpha=\"0.17\", expect_size=\"47411200\"] \n  16 -> 17 [size =\"47411200\"]\n  17 [size=\"17952768\", alpha=\"0.05\", expect_size=\"8976384\"] \n  17 -> 18 [size =\"8976384\"]\n  18 [size=\"33935360\", alpha=\"0.05\", expect_size=\"16967680\"] \n  18 -> 19 [size =\"16967680\"]\n  19 [size=\"104624128\", alpha=\"0.13\", expect_size=\"52312064\"] \n  19 -> 20 [size =\"52312064\"]\n  20 [size=\"14086144\", alpha=\"0.11\", expect_size=\"7043072\"] \n  20 -> 21 [size =\"7043072\"]\n  21 [size=\"61581312\", alpha=\"0.18\", expect_size=\"30790656\"] \n  21 -> 22 [size =\"30790656\"]\n  22 [size=\"25753600\", alpha=\"0.08\", expect_size=\"12876800\"] \n  22 -> 23 [size =\"12876800\"]\n  23 [size=\"24938496\", alpha=\"0.12\", expect_size=\"12469248\"] \n  23 -> 24 [size =\"12469248\"]\n  24 [size=\"45080576\", alpha=\"0.12\", expect_size=\"22540288\"] \n  24 -> 25 [size =\"22540288\"]\n  25 [size=\"70535168\", alpha=\"0.14\", expect_size=\"35267584\"] \n  25 -> 26 [size =\"35267584\"]\n  26 [size=\"22499328\", alpha=\"0.17\", expect_size=\"11249664\"] \n  26 -> 27 [size =\"11249664\"]\n  27 [size=\"102742016\", alpha=\"0.20\", expect_size=\"51371008\"] \n  27 -> 28 [size =\"51371008\"]\n  28 [size=\"32946176\", alpha=\"0.01\", expect_size=\"16473088\"] \n  28 -> 29 [size =\"16473088\"]\n  29 [size=\"57972736\", alpha=\"0.12\", expect_size=\"28986368\"] \n  29 -> 30 [size =\"28986368\"]\n  30 [size=\"26304512\", alpha=\"0.07\", expect_size=\"13152256\"] \n  30 -> 31 [size =\"13152256\"]\n  31 [size=\"75952128\", alpha=\"0.05\", expect_size=\"37976064\"] \n  31 -> 32 [size =\"37976064\"]\n  32 [size=\"66996224\", alpha=\"0.15\", expect_size=\"33498112\"] \n  32 -> 33 [size =\"33498112\"]\n  33 [size=\"11446272\", alpha=\"0.20\", expect_size=\"5723136\"] \n  33 -> 34 [size =\"5723136\"]\n  34 [size=\"66928640\", alpha=\"0.19\", expect_size=\"33464320\"] \n  34 -> 35 [size =\"33464320\"]\n  35 [size=\"29984768\", alpha=\"0.14\", expect_size=\"14992384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33461760\", alpha=\"0.18\", expect_size=\"13384704\"] \n  1 -> 3 [size =\"13384704\"]\n  2 [size=\"40665600\", alpha=\"0.16\", expect_size=\"16266240\"] \n  3 [size=\"113031680\", alpha=\"0.12\", expect_size=\"45212672\"] \n  3 -> 4 [size =\"45212672\"]\n  4 [size=\"31475200\", alpha=\"0.06\", expect_size=\"12590080\"] \n  4 -> 5 [size =\"12590080\"]\n  4 -> 6 [size =\"12590080\"]\n  5 [size=\"73794560\", alpha=\"0.17\", expect_size=\"29517824\"] \n  6 [size=\"73402880\", alpha=\"0.05\", expect_size=\"29361152\"] \n  6 -> 7 [size =\"29361152\"]\n  7 [size=\"23075840\", alpha=\"0.17\", expect_size=\"9230336\"] \n  7 -> 8 [size =\"9230336\"]\n  8 [size=\"62141440\", alpha=\"0.06\", expect_size=\"24856576\"] \n  8 -> 9 [size =\"24856576\"]\n  8 -> 10 [size =\"24856576\"]\n  9 [size=\"37703680\", alpha=\"0.09\", expect_size=\"15081472\"] \n  9 -> 11 [size =\"15081472\"]\n  10 [size=\"87513600\", alpha=\"0.09\", expect_size=\"35005440\"] \n  10 -> 11 [size =\"35005440\"]\n  10 -> 12 [size =\"35005440\"]\n  11 [size=\"97346560\", alpha=\"0.02\", expect_size=\"38938624\"] \n  11 -> 13 [size =\"38938624\"]\n  11 -> 14 [size =\"38938624\"]\n  12 [size=\"85089280\", alpha=\"0.06\", expect_size=\"34035712\"] \n  12 -> 13 [size =\"34035712\"]\n  12 -> 14 [size =\"34035712\"]\n  13 [size=\"59916800\", alpha=\"0.09\", expect_size=\"23966720\"] \n  13 -> 15 [size =\"23966720\"]\n  14 [size=\"130321920\", alpha=\"0.13\", expect_size=\"52128768\"] \n  14 -> 15 [size =\"52128768\"]\n  15 [size=\"45414400\", alpha=\"0.04\", expect_size=\"18165760\"] \n  15 -> 16 [size =\"18165760\"]\n  15 -> 17 [size =\"18165760\"]\n  16 [size=\"29816320\", alpha=\"0.09\", expect_size=\"11926528\"] \n  16 -> 18 [size =\"11926528\"]\n  17 [size=\"60249600\", alpha=\"0.00\", expect_size=\"24099840\"] \n  17 -> 18 [size =\"24099840\"]\n  18 [size=\"44372480\", alpha=\"0.08\", expect_size=\"17748992\"] \n  18 -> 19 [size =\"17748992\"]\n  18 -> 20 [size =\"17748992\"]\n  19 [size=\"77939200\", alpha=\"0.15\", expect_size=\"31175680\"] \n  19 -> 21 [size =\"31175680\"]\n  20 [size=\"13324800\", alpha=\"0.19\", expect_size=\"5329920\"] \n  20 -> 21 [size =\"5329920\"]\n  21 [size=\"64051200\", alpha=\"0.06\", expect_size=\"25620480\"] \n  21 -> 22 [size =\"25620480\"]\n  21 -> 23 [size =\"25620480\"]\n  22 [size=\"76874240\", alpha=\"0.19\", expect_size=\"30749696\"] \n  22 -> 24 [size =\"30749696\"]\n  23 [size=\"110215680\", alpha=\"0.08\", expect_size=\"44086272\"] \n  23 -> 24 [size =\"44086272\"]\n  24 [size=\"43233280\", alpha=\"0.00\", expect_size=\"17293312\"] \n  24 -> 25 [size =\"17293312\"]\n  24 -> 26 [size =\"17293312\"]\n  25 [size=\"121461760\", alpha=\"0.03\", expect_size=\"48584704\"] \n  26 [size=\"28753920\", alpha=\"0.16\", expect_size=\"11501568\"] \n  26 -> 27 [size =\"11501568\"]\n  26 -> 28 [size =\"11501568\"]\n  27 [size=\"80547840\", alpha=\"0.10\", expect_size=\"32219136\"] \n  27 -> 29 [size =\"32219136\"]\n  28 [size=\"81162240\", alpha=\"0.13\", expect_size=\"32464896\"] \n  28 -> 29 [size =\"32464896\"]\n  29 [size=\"126648320\", alpha=\"0.20\", expect_size=\"50659328\"] \n  29 -> 30 [size =\"50659328\"]\n  30 [size=\"94784000\", alpha=\"0.19\", expect_size=\"37913600\"] \n  30 -> 31 [size =\"37913600\"]\n  30 -> 32 [size =\"37913600\"]\n  31 [size=\"87298560\", alpha=\"0.13\", expect_size=\"34919424\"] \n  31 -> 33 [size =\"34919424\"]\n  32 [size=\"124549120\", alpha=\"0.19\", expect_size=\"49819648\"] \n  32 -> 33 [size =\"49819648\"]\n  32 -> 34 [size =\"49819648\"]\n  33 [size=\"116126720\", alpha=\"0.14\", expect_size=\"46450688\"] \n  33 -> 35 [size =\"46450688\"]\n  34 [size=\"43996160\", alpha=\"0.07\", expect_size=\"17598464\"] \n  34 -> 35 [size =\"17598464\"]\n  35 [size=\"44490240\", alpha=\"0.07\", expect_size=\"17796096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31668224\", alpha=\"0.16\", expect_size=\"15834112\"] \n  1 -> 13 [size =\"15834112\"]\n  1 -> 17 [size =\"15834112\"]\n  1 -> 18 [size =\"15834112\"]\n  1 -> 20 [size =\"15834112\"]\n  2 [size=\"18421760\", alpha=\"0.11\", expect_size=\"9210880\"] \n  2 -> 17 [size =\"9210880\"]\n  2 -> 18 [size =\"9210880\"]\n  3 [size=\"66103296\", alpha=\"0.08\", expect_size=\"33051648\"] \n  3 -> 15 [size =\"33051648\"]\n  3 -> 19 [size =\"33051648\"]\n  3 -> 20 [size =\"33051648\"]\n  4 [size=\"98383872\", alpha=\"0.07\", expect_size=\"49191936\"] \n  4 -> 17 [size =\"49191936\"]\n  4 -> 20 [size =\"49191936\"]\n  5 [size=\"24860672\", alpha=\"0.11\", expect_size=\"12430336\"] \n  5 -> 13 [size =\"12430336\"]\n  5 -> 14 [size =\"12430336\"]\n  6 [size=\"80486400\", alpha=\"0.02\", expect_size=\"40243200\"] \n  6 -> 18 [size =\"40243200\"]\n  6 -> 20 [size =\"40243200\"]\n  7 [size=\"103370752\", alpha=\"0.03\", expect_size=\"51685376\"] \n  7 -> 13 [size =\"51685376\"]\n  7 -> 16 [size =\"51685376\"]\n  7 -> 21 [size =\"51685376\"]\n  8 [size=\"90636288\", alpha=\"0.11\", expect_size=\"45318144\"] \n  8 -> 13 [size =\"45318144\"]\n  8 -> 15 [size =\"45318144\"]\n  8 -> 19 [size =\"45318144\"]\n  8 -> 20 [size =\"45318144\"]\n  9 [size=\"54409216\", alpha=\"0.17\", expect_size=\"27204608\"] \n  9 -> 13 [size =\"27204608\"]\n  9 -> 14 [size =\"27204608\"]\n  9 -> 16 [size =\"27204608\"]\n  9 -> 18 [size =\"27204608\"]\n  9 -> 19 [size =\"27204608\"]\n  9 -> 21 [size =\"27204608\"]\n  10 [size=\"104038400\", alpha=\"0.11\", expect_size=\"52019200\"] \n  10 -> 19 [size =\"52019200\"]\n  11 [size=\"40071168\", alpha=\"0.06\", expect_size=\"20035584\"] \n  11 -> 19 [size =\"20035584\"]\n  12 [size=\"21938176\", alpha=\"0.12\", expect_size=\"10969088\"] \n  12 -> 14 [size =\"10969088\"]\n  12 -> 17 [size =\"10969088\"]\n  12 -> 18 [size =\"10969088\"]\n  12 -> 19 [size =\"10969088\"]\n  12 -> 20 [size =\"10969088\"]\n  13 [size=\"74532864\", alpha=\"0.15\", expect_size=\"37266432\"] \n  13 -> 23 [size =\"37266432\"]\n  13 -> 24 [size =\"37266432\"]\n  13 -> 27 [size =\"37266432\"]\n  13 -> 29 [size =\"37266432\"]\n  13 -> 32 [size =\"37266432\"]\n  13 -> 33 [size =\"37266432\"]\n  14 [size=\"18591744\", alpha=\"0.01\", expect_size=\"9295872\"] \n  14 -> 30 [size =\"9295872\"]\n  14 -> 32 [size =\"9295872\"]\n  15 [size=\"50192384\", alpha=\"0.11\", expect_size=\"25096192\"] \n  15 -> 28 [size =\"25096192\"]\n  15 -> 29 [size =\"25096192\"]\n  15 -> 32 [size =\"25096192\"]\n  16 [size=\"102068224\", alpha=\"0.01\", expect_size=\"51034112\"] \n  16 -> 24 [size =\"51034112\"]\n  16 -> 26 [size =\"51034112\"]\n  16 -> 28 [size =\"51034112\"]\n  16 -> 30 [size =\"51034112\"]\n  17 [size=\"15304704\", alpha=\"0.19\", expect_size=\"7652352\"] \n  17 -> 23 [size =\"7652352\"]\n  17 -> 24 [size =\"7652352\"]\n  17 -> 29 [size =\"7652352\"]\n  17 -> 30 [size =\"7652352\"]\n  17 -> 33 [size =\"7652352\"]\n  18 [size=\"27654144\", alpha=\"0.12\", expect_size=\"13827072\"] \n  18 -> 25 [size =\"13827072\"]\n  18 -> 26 [size =\"13827072\"]\n  18 -> 31 [size =\"13827072\"]\n  18 -> 32 [size =\"13827072\"]\n  19 [size=\"80136192\", alpha=\"0.01\", expect_size=\"40068096\"] \n  19 -> 30 [size =\"40068096\"]\n  19 -> 32 [size =\"40068096\"]\n  19 -> 34 [size =\"40068096\"]\n  20 [size=\"67913728\", alpha=\"0.13\", expect_size=\"33956864\"] \n  20 -> 23 [size =\"33956864\"]\n  20 -> 32 [size =\"33956864\"]\n  20 -> 34 [size =\"33956864\"]\n  21 [size=\"25864192\", alpha=\"0.09\", expect_size=\"12932096\"] \n  21 -> 22 [size =\"12932096\"]\n  21 -> 23 [size =\"12932096\"]\n  21 -> 29 [size =\"12932096\"]\n  22 [size=\"55365632\", alpha=\"0.07\", expect_size=\"27682816\"] \n  22 -> 35 [size =\"27682816\"]\n  23 [size=\"16998400\", alpha=\"0.17\", expect_size=\"8499200\"] \n  24 [size=\"88109056\", alpha=\"0.05\", expect_size=\"44054528\"] \n  24 -> 35 [size =\"44054528\"]\n  25 [size=\"92360704\", alpha=\"0.17\", expect_size=\"46180352\"] \n  25 -> 35 [size =\"46180352\"]\n  26 [size=\"48058368\", alpha=\"0.03\", expect_size=\"24029184\"] \n  26 -> 35 [size =\"24029184\"]\n  27 [size=\"50833408\", alpha=\"0.09\", expect_size=\"25416704\"] \n  27 -> 35 [size =\"25416704\"]\n  28 [size=\"44658688\", alpha=\"0.12\", expect_size=\"22329344\"] \n  28 -> 35 [size =\"22329344\"]\n  29 [size=\"99061760\", alpha=\"0.05\", expect_size=\"49530880\"] \n  30 [size=\"102662144\", alpha=\"0.17\", expect_size=\"51331072\"] \n  31 [size=\"67981312\", alpha=\"0.15\", expect_size=\"33990656\"] \n  31 -> 35 [size =\"33990656\"]\n  32 [size=\"16203776\", alpha=\"0.16\", expect_size=\"8101888\"] \n  32 -> 35 [size =\"8101888\"]\n  33 [size=\"49639424\", alpha=\"0.11\", expect_size=\"24819712\"] \n  34 [size=\"35162112\", alpha=\"0.07\", expect_size=\"17581056\"] \n  35 [size=\"60669952\", alpha=\"0.11\", expect_size=\"30334976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27502592\", alpha=\"0.09\", expect_size=\"13751296\"] \n  1 -> 2 [size =\"13751296\"]\n  2 [size=\"44662784\", alpha=\"0.03\", expect_size=\"22331392\"] \n  2 -> 3 [size =\"22331392\"]\n  3 [size=\"102934528\", alpha=\"0.08\", expect_size=\"51467264\"] \n  3 -> 4 [size =\"51467264\"]\n  4 [size=\"12900352\", alpha=\"0.03\", expect_size=\"6450176\"] \n  4 -> 5 [size =\"6450176\"]\n  5 [size=\"15616000\", alpha=\"0.02\", expect_size=\"7808000\"] \n  5 -> 6 [size =\"7808000\"]\n  6 [size=\"23287808\", alpha=\"0.16\", expect_size=\"11643904\"] \n  6 -> 7 [size =\"11643904\"]\n  7 [size=\"61878272\", alpha=\"0.19\", expect_size=\"30939136\"] \n  7 -> 8 [size =\"30939136\"]\n  8 [size=\"45903872\", alpha=\"0.08\", expect_size=\"22951936\"] \n  8 -> 9 [size =\"22951936\"]\n  9 [size=\"15499264\", alpha=\"0.11\", expect_size=\"7749632\"] \n  9 -> 10 [size =\"7749632\"]\n  10 [size=\"102866944\", alpha=\"0.09\", expect_size=\"51433472\"] \n  10 -> 11 [size =\"51433472\"]\n  11 [size=\"45729792\", alpha=\"0.12\", expect_size=\"22864896\"] \n  11 -> 12 [size =\"22864896\"]\n  12 [size=\"86499328\", alpha=\"0.03\", expect_size=\"43249664\"] \n  12 -> 13 [size =\"43249664\"]\n  13 [size=\"102328320\", alpha=\"0.13\", expect_size=\"51164160\"] \n  13 -> 14 [size =\"51164160\"]\n  14 [size=\"44607488\", alpha=\"0.10\", expect_size=\"22303744\"] \n  14 -> 15 [size =\"22303744\"]\n  15 [size=\"59269120\", alpha=\"0.16\", expect_size=\"29634560\"] \n  15 -> 16 [size =\"29634560\"]\n  16 [size=\"69357568\", alpha=\"0.16\", expect_size=\"34678784\"] \n  16 -> 17 [size =\"34678784\"]\n  17 [size=\"51845120\", alpha=\"0.10\", expect_size=\"25922560\"] \n  17 -> 18 [size =\"25922560\"]\n  18 [size=\"44904448\", alpha=\"0.05\", expect_size=\"22452224\"] \n  18 -> 19 [size =\"22452224\"]\n  19 [size=\"82626560\", alpha=\"0.02\", expect_size=\"41313280\"] \n  19 -> 20 [size =\"41313280\"]\n  20 [size=\"38586368\", alpha=\"0.01\", expect_size=\"19293184\"] \n  20 -> 21 [size =\"19293184\"]\n  21 [size=\"82184192\", alpha=\"0.04\", expect_size=\"41092096\"] \n  21 -> 22 [size =\"41092096\"]\n  22 [size=\"44183552\", alpha=\"0.14\", expect_size=\"22091776\"] \n  22 -> 23 [size =\"22091776\"]\n  23 [size=\"56709120\", alpha=\"0.04\", expect_size=\"28354560\"] \n  23 -> 24 [size =\"28354560\"]\n  24 [size=\"24782848\", alpha=\"0.14\", expect_size=\"12391424\"] \n  24 -> 25 [size =\"12391424\"]\n  25 [size=\"69804032\", alpha=\"0.05\", expect_size=\"34902016\"] \n  25 -> 26 [size =\"34902016\"]\n  26 [size=\"52840448\", alpha=\"0.19\", expect_size=\"26420224\"] \n  26 -> 27 [size =\"26420224\"]\n  27 [size=\"36182016\", alpha=\"0.03\", expect_size=\"18091008\"] \n  27 -> 28 [size =\"18091008\"]\n  28 [size=\"82774016\", alpha=\"0.16\", expect_size=\"41387008\"] \n  28 -> 29 [size =\"41387008\"]\n  29 [size=\"11880448\", alpha=\"0.09\", expect_size=\"5940224\"] \n  29 -> 30 [size =\"5940224\"]\n  30 [size=\"23300096\", alpha=\"0.02\", expect_size=\"11650048\"] \n  30 -> 31 [size =\"11650048\"]\n  31 [size=\"30343168\", alpha=\"0.02\", expect_size=\"15171584\"] \n  31 -> 32 [size =\"15171584\"]\n  32 [size=\"50028544\", alpha=\"0.18\", expect_size=\"25014272\"] \n  32 -> 33 [size =\"25014272\"]\n  33 [size=\"22161408\", alpha=\"0.14\", expect_size=\"11080704\"] \n  33 -> 34 [size =\"11080704\"]\n  34 [size=\"39190528\", alpha=\"0.18\", expect_size=\"19595264\"] \n  34 -> 35 [size =\"19595264\"]\n  35 [size=\"103534592\", alpha=\"0.11\", expect_size=\"51767296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73651200\", alpha=\"0.13\", expect_size=\"29460480\"] \n  1 -> 8 [size =\"29460480\"]\n  2 [size=\"109849600\", alpha=\"0.03\", expect_size=\"43939840\"] \n  2 -> 6 [size =\"43939840\"]\n  3 [size=\"45296640\", alpha=\"0.08\", expect_size=\"18118656\"] \n  3 -> 6 [size =\"18118656\"]\n  3 -> 9 [size =\"18118656\"]\n  4 [size=\"79206400\", alpha=\"0.08\", expect_size=\"31682560\"] \n  4 -> 6 [size =\"31682560\"]\n  5 [size=\"49607680\", alpha=\"0.06\", expect_size=\"19843072\"] \n  5 -> 7 [size =\"19843072\"]\n  6 [size=\"62026240\", alpha=\"0.06\", expect_size=\"24810496\"] \n  6 -> 10 [size =\"24810496\"]\n  6 -> 11 [size =\"24810496\"]\n  7 [size=\"14356480\", alpha=\"0.17\", expect_size=\"5742592\"] \n  8 [size=\"42833920\", alpha=\"0.17\", expect_size=\"17133568\"] \n  8 -> 10 [size =\"17133568\"]\n  8 -> 12 [size =\"17133568\"]\n  8 -> 13 [size =\"17133568\"]\n  9 [size=\"77191680\", alpha=\"0.09\", expect_size=\"30876672\"] \n  10 [size=\"73405440\", alpha=\"0.04\", expect_size=\"29362176\"] \n  10 -> 14 [size =\"29362176\"]\n  10 -> 17 [size =\"29362176\"]\n  11 [size=\"105582080\", alpha=\"0.02\", expect_size=\"42232832\"] \n  12 [size=\"62789120\", alpha=\"0.02\", expect_size=\"25115648\"] \n  12 -> 14 [size =\"25115648\"]\n  12 -> 16 [size =\"25115648\"]\n  12 -> 18 [size =\"25115648\"]\n  13 [size=\"80517120\", alpha=\"0.06\", expect_size=\"32206848\"] \n  13 -> 15 [size =\"32206848\"]\n  14 [size=\"126835200\", alpha=\"0.03\", expect_size=\"50734080\"] \n  14 -> 19 [size =\"50734080\"]\n  14 -> 22 [size =\"50734080\"]\n  14 -> 23 [size =\"50734080\"]\n  15 [size=\"56706560\", alpha=\"0.09\", expect_size=\"22682624\"] \n  15 -> 19 [size =\"22682624\"]\n  15 -> 21 [size =\"22682624\"]\n  15 -> 22 [size =\"22682624\"]\n  16 [size=\"93852160\", alpha=\"0.01\", expect_size=\"37540864\"] \n  16 -> 19 [size =\"37540864\"]\n  17 [size=\"128005120\", alpha=\"0.08\", expect_size=\"51202048\"] \n  17 -> 20 [size =\"51202048\"]\n  18 [size=\"111815680\", alpha=\"0.16\", expect_size=\"44726272\"] \n  18 -> 20 [size =\"44726272\"]\n  18 -> 22 [size =\"44726272\"]\n  19 [size=\"91427840\", alpha=\"0.11\", expect_size=\"36571136\"] \n  20 [size=\"24872960\", alpha=\"0.09\", expect_size=\"9949184\"] \n  20 -> 25 [size =\"9949184\"]\n  21 [size=\"47882240\", alpha=\"0.18\", expect_size=\"19152896\"] \n  22 [size=\"59663360\", alpha=\"0.03\", expect_size=\"23865344\"] \n  22 -> 24 [size =\"23865344\"]\n  22 -> 26 [size =\"23865344\"]\n  23 [size=\"74181120\", alpha=\"0.14\", expect_size=\"29672448\"] \n  23 -> 24 [size =\"29672448\"]\n  23 -> 26 [size =\"29672448\"]\n  23 -> 27 [size =\"29672448\"]\n  24 [size=\"110689280\", alpha=\"0.15\", expect_size=\"44275712\"] \n  24 -> 32 [size =\"44275712\"]\n  25 [size=\"128161280\", alpha=\"0.03\", expect_size=\"51264512\"] \n  25 -> 29 [size =\"51264512\"]\n  25 -> 30 [size =\"51264512\"]\n  26 [size=\"65077760\", alpha=\"0.20\", expect_size=\"26031104\"] \n  26 -> 28 [size =\"26031104\"]\n  26 -> 30 [size =\"26031104\"]\n  27 [size=\"69601280\", alpha=\"0.16\", expect_size=\"27840512\"] \n  27 -> 31 [size =\"27840512\"]\n  27 -> 32 [size =\"27840512\"]\n  28 [size=\"117429760\", alpha=\"0.18\", expect_size=\"46971904\"] \n  28 -> 33 [size =\"46971904\"]\n  28 -> 35 [size =\"46971904\"]\n  29 [size=\"90900480\", alpha=\"0.10\", expect_size=\"36360192\"] \n  29 -> 33 [size =\"36360192\"]\n  30 [size=\"37401600\", alpha=\"0.13\", expect_size=\"14960640\"] \n  30 -> 34 [size =\"14960640\"]\n  31 [size=\"92615680\", alpha=\"0.11\", expect_size=\"37046272\"] \n  31 -> 33 [size =\"37046272\"]\n  31 -> 34 [size =\"37046272\"]\n  32 [size=\"81152000\", alpha=\"0.18\", expect_size=\"32460800\"] \n  32 -> 34 [size =\"32460800\"]\n  33 [size=\"99758080\", alpha=\"0.16\", expect_size=\"39903232\"] \n  34 [size=\"62658560\", alpha=\"0.13\", expect_size=\"25063424\"] \n  35 [size=\"35952640\", alpha=\"0.18\", expect_size=\"14381056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64571392\", alpha=\"0.10\", expect_size=\"32285696\"] \n  1 -> 2 [size =\"32285696\"]\n  2 [size=\"31500288\", alpha=\"0.14\", expect_size=\"15750144\"] \n  2 -> 3 [size =\"15750144\"]\n  3 [size=\"47015936\", alpha=\"0.14\", expect_size=\"23507968\"] \n  3 -> 4 [size =\"23507968\"]\n  4 [size=\"102854656\", alpha=\"0.17\", expect_size=\"51427328\"] \n  4 -> 5 [size =\"51427328\"]\n  5 [size=\"20901888\", alpha=\"0.12\", expect_size=\"10450944\"] \n  5 -> 6 [size =\"10450944\"]\n  6 [size=\"44367872\", alpha=\"0.19\", expect_size=\"22183936\"] \n  6 -> 7 [size =\"22183936\"]\n  7 [size=\"60911616\", alpha=\"0.16\", expect_size=\"30455808\"] \n  7 -> 8 [size =\"30455808\"]\n  8 [size=\"69873664\", alpha=\"0.11\", expect_size=\"34936832\"] \n  8 -> 9 [size =\"34936832\"]\n  9 [size=\"62760960\", alpha=\"0.03\", expect_size=\"31380480\"] \n  9 -> 10 [size =\"31380480\"]\n  10 [size=\"61659136\", alpha=\"0.12\", expect_size=\"30829568\"] \n  10 -> 11 [size =\"30829568\"]\n  11 [size=\"97724416\", alpha=\"0.00\", expect_size=\"48862208\"] \n  11 -> 12 [size =\"48862208\"]\n  12 [size=\"52256768\", alpha=\"0.10\", expect_size=\"26128384\"] \n  12 -> 13 [size =\"26128384\"]\n  13 [size=\"24553472\", alpha=\"0.12\", expect_size=\"12276736\"] \n  13 -> 14 [size =\"12276736\"]\n  14 [size=\"92080128\", alpha=\"0.00\", expect_size=\"46040064\"] \n  14 -> 15 [size =\"46040064\"]\n  15 [size=\"75827200\", alpha=\"0.15\", expect_size=\"37913600\"] \n  15 -> 16 [size =\"37913600\"]\n  16 [size=\"38600704\", alpha=\"0.17\", expect_size=\"19300352\"] \n  16 -> 17 [size =\"19300352\"]\n  17 [size=\"34842624\", alpha=\"0.14\", expect_size=\"17421312\"] \n  17 -> 18 [size =\"17421312\"]\n  18 [size=\"15910912\", alpha=\"0.12\", expect_size=\"7955456\"] \n  18 -> 19 [size =\"7955456\"]\n  19 [size=\"69957632\", alpha=\"0.04\", expect_size=\"34978816\"] \n  19 -> 20 [size =\"34978816\"]\n  20 [size=\"85129216\", alpha=\"0.20\", expect_size=\"42564608\"] \n  20 -> 21 [size =\"42564608\"]\n  21 [size=\"49160192\", alpha=\"0.06\", expect_size=\"24580096\"] \n  21 -> 22 [size =\"24580096\"]\n  22 [size=\"49881088\", alpha=\"0.18\", expect_size=\"24940544\"] \n  22 -> 23 [size =\"24940544\"]\n  23 [size=\"95176704\", alpha=\"0.17\", expect_size=\"47588352\"] \n  23 -> 24 [size =\"47588352\"]\n  24 [size=\"57282560\", alpha=\"0.15\", expect_size=\"28641280\"] \n  24 -> 25 [size =\"28641280\"]\n  25 [size=\"59525120\", alpha=\"0.16\", expect_size=\"29762560\"] \n  25 -> 26 [size =\"29762560\"]\n  26 [size=\"33595392\", alpha=\"0.04\", expect_size=\"16797696\"] \n  26 -> 27 [size =\"16797696\"]\n  27 [size=\"18081792\", alpha=\"0.02\", expect_size=\"9040896\"] \n  27 -> 28 [size =\"9040896\"]\n  28 [size=\"83585024\", alpha=\"0.13\", expect_size=\"41792512\"] \n  28 -> 29 [size =\"41792512\"]\n  29 [size=\"44548096\", alpha=\"0.16\", expect_size=\"22274048\"] \n  29 -> 30 [size =\"22274048\"]\n  30 [size=\"65282048\", alpha=\"0.09\", expect_size=\"32641024\"] \n  30 -> 31 [size =\"32641024\"]\n  31 [size=\"63688704\", alpha=\"0.00\", expect_size=\"31844352\"] \n  31 -> 32 [size =\"31844352\"]\n  32 [size=\"93849600\", alpha=\"0.01\", expect_size=\"46924800\"] \n  32 -> 33 [size =\"46924800\"]\n  33 [size=\"82409472\", alpha=\"0.04\", expect_size=\"41204736\"] \n  33 -> 34 [size =\"41204736\"]\n  34 [size=\"65904640\", alpha=\"0.05\", expect_size=\"32952320\"] \n  34 -> 35 [size =\"32952320\"]\n  35 [size=\"42328064\", alpha=\"0.19\", expect_size=\"21164032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65295360\", alpha=\"0.17\", expect_size=\"26118144\"] \n  1 -> 13 [size =\"26118144\"]\n  1 -> 16 [size =\"26118144\"]\n  1 -> 18 [size =\"26118144\"]\n  1 -> 24 [size =\"26118144\"]\n  2 [size=\"28495360\", alpha=\"0.12\", expect_size=\"11398144\"] \n  2 -> 16 [size =\"11398144\"]\n  2 -> 18 [size =\"11398144\"]\n  3 [size=\"105799680\", alpha=\"0.16\", expect_size=\"42319872\"] \n  3 -> 15 [size =\"42319872\"]\n  4 [size=\"119864320\", alpha=\"0.14\", expect_size=\"47945728\"] \n  4 -> 15 [size =\"47945728\"]\n  4 -> 16 [size =\"47945728\"]\n  4 -> 21 [size =\"47945728\"]\n  4 -> 23 [size =\"47945728\"]\n  4 -> 24 [size =\"47945728\"]\n  5 [size=\"96668160\", alpha=\"0.06\", expect_size=\"38667264\"] \n  5 -> 15 [size =\"38667264\"]\n  5 -> 17 [size =\"38667264\"]\n  5 -> 19 [size =\"38667264\"]\n  5 -> 20 [size =\"38667264\"]\n  5 -> 21 [size =\"38667264\"]\n  5 -> 24 [size =\"38667264\"]\n  6 [size=\"95168000\", alpha=\"0.03\", expect_size=\"38067200\"] \n  6 -> 13 [size =\"38067200\"]\n  6 -> 15 [size =\"38067200\"]\n  6 -> 18 [size =\"38067200\"]\n  6 -> 22 [size =\"38067200\"]\n  7 [size=\"44838400\", alpha=\"0.10\", expect_size=\"17935360\"] \n  7 -> 16 [size =\"17935360\"]\n  7 -> 19 [size =\"17935360\"]\n  7 -> 22 [size =\"17935360\"]\n  8 [size=\"117317120\", alpha=\"0.13\", expect_size=\"46926848\"] \n  8 -> 13 [size =\"46926848\"]\n  8 -> 14 [size =\"46926848\"]\n  8 -> 15 [size =\"46926848\"]\n  8 -> 16 [size =\"46926848\"]\n  8 -> 19 [size =\"46926848\"]\n  8 -> 22 [size =\"46926848\"]\n  8 -> 24 [size =\"46926848\"]\n  9 [size=\"115240960\", alpha=\"0.17\", expect_size=\"46096384\"] \n  9 -> 16 [size =\"46096384\"]\n  9 -> 19 [size =\"46096384\"]\n  9 -> 20 [size =\"46096384\"]\n  9 -> 23 [size =\"46096384\"]\n  10 [size=\"67484160\", alpha=\"0.10\", expect_size=\"26993664\"] \n  10 -> 19 [size =\"26993664\"]\n  10 -> 21 [size =\"26993664\"]\n  11 [size=\"86553600\", alpha=\"0.04\", expect_size=\"34621440\"] \n  11 -> 18 [size =\"34621440\"]\n  11 -> 20 [size =\"34621440\"]\n  11 -> 21 [size =\"34621440\"]\n  11 -> 23 [size =\"34621440\"]\n  11 -> 24 [size =\"34621440\"]\n  12 [size=\"66652160\", alpha=\"0.11\", expect_size=\"26660864\"] \n  12 -> 15 [size =\"26660864\"]\n  12 -> 18 [size =\"26660864\"]\n  12 -> 21 [size =\"26660864\"]\n  13 [size=\"17210880\", alpha=\"0.08\", expect_size=\"6884352\"] \n  13 -> 29 [size =\"6884352\"]\n  13 -> 33 [size =\"6884352\"]\n  13 -> 34 [size =\"6884352\"]\n  14 [size=\"112250880\", alpha=\"0.05\", expect_size=\"44900352\"] \n  14 -> 27 [size =\"44900352\"]\n  14 -> 29 [size =\"44900352\"]\n  14 -> 34 [size =\"44900352\"]\n  15 [size=\"77608960\", alpha=\"0.09\", expect_size=\"31043584\"] \n  15 -> 35 [size =\"31043584\"]\n  16 [size=\"114024960\", alpha=\"0.17\", expect_size=\"45609984\"] \n  16 -> 35 [size =\"45609984\"]\n  17 [size=\"128837120\", alpha=\"0.13\", expect_size=\"51534848\"] \n  17 -> 25 [size =\"51534848\"]\n  17 -> 28 [size =\"51534848\"]\n  17 -> 31 [size =\"51534848\"]\n  17 -> 32 [size =\"51534848\"]\n  18 [size=\"67146240\", alpha=\"0.15\", expect_size=\"26858496\"] \n  18 -> 28 [size =\"26858496\"]\n  18 -> 30 [size =\"26858496\"]\n  18 -> 32 [size =\"26858496\"]\n  18 -> 33 [size =\"26858496\"]\n  19 [size=\"25497600\", alpha=\"0.07\", expect_size=\"10199040\"] \n  19 -> 29 [size =\"10199040\"]\n  19 -> 31 [size =\"10199040\"]\n  20 [size=\"125688320\", alpha=\"0.17\", expect_size=\"50275328\"] \n  20 -> 33 [size =\"50275328\"]\n  20 -> 34 [size =\"50275328\"]\n  20 -> 35 [size =\"50275328\"]\n  21 [size=\"64529920\", alpha=\"0.15\", expect_size=\"25811968\"] \n  21 -> 25 [size =\"25811968\"]\n  21 -> 26 [size =\"25811968\"]\n  21 -> 29 [size =\"25811968\"]\n  21 -> 30 [size =\"25811968\"]\n  21 -> 33 [size =\"25811968\"]\n  21 -> 34 [size =\"25811968\"]\n  22 [size=\"85386240\", alpha=\"0.16\", expect_size=\"34154496\"] \n  22 -> 25 [size =\"34154496\"]\n  22 -> 28 [size =\"34154496\"]\n  22 -> 30 [size =\"34154496\"]\n  22 -> 31 [size =\"34154496\"]\n  22 -> 35 [size =\"34154496\"]\n  23 [size=\"34736640\", alpha=\"0.12\", expect_size=\"13894656\"] \n  23 -> 31 [size =\"13894656\"]\n  23 -> 33 [size =\"13894656\"]\n  23 -> 35 [size =\"13894656\"]\n  24 [size=\"84249600\", alpha=\"0.07\", expect_size=\"33699840\"] \n  24 -> 27 [size =\"33699840\"]\n  24 -> 31 [size =\"33699840\"]\n  24 -> 33 [size =\"33699840\"]\n  25 [size=\"112919040\", alpha=\"0.16\", expect_size=\"45167616\"] \n  26 [size=\"48706560\", alpha=\"0.19\", expect_size=\"19482624\"] \n  27 [size=\"32691200\", alpha=\"0.07\", expect_size=\"13076480\"] \n  28 [size=\"109601280\", alpha=\"0.13\", expect_size=\"43840512\"] \n  29 [size=\"82401280\", alpha=\"0.16\", expect_size=\"32960512\"] \n  30 [size=\"126164480\", alpha=\"0.08\", expect_size=\"50465792\"] \n  31 [size=\"107335680\", alpha=\"0.13\", expect_size=\"42934272\"] \n  32 [size=\"78103040\", alpha=\"0.07\", expect_size=\"31241216\"] \n  33 [size=\"53852160\", alpha=\"0.01\", expect_size=\"21540864\"] \n  34 [size=\"127280640\", alpha=\"0.13\", expect_size=\"50912256\"] \n  35 [size=\"51253760\", alpha=\"0.15\", expect_size=\"20501504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128996693\", alpha=\"0.00\", expect_size=\"38699008\"] \n  1 -> 3 [size =\"38699008\"]\n  1 -> 4 [size =\"38699008\"]\n  2 [size=\"54405120\", alpha=\"0.15\", expect_size=\"16321536\"] \n  2 -> 3 [size =\"16321536\"]\n  2 -> 4 [size =\"16321536\"]\n  3 [size=\"22551893\", alpha=\"0.12\", expect_size=\"6765568\"] \n  3 -> 5 [size =\"6765568\"]\n  4 [size=\"129252693\", alpha=\"0.12\", expect_size=\"38775808\"] \n  4 -> 5 [size =\"38775808\"]\n  5 [size=\"89224533\", alpha=\"0.13\", expect_size=\"26767360\"] \n  5 -> 6 [size =\"26767360\"]\n  5 -> 7 [size =\"26767360\"]\n  6 [size=\"164270080\", alpha=\"0.06\", expect_size=\"49281024\"] \n  6 -> 8 [size =\"49281024\"]\n  7 [size=\"17848320\", alpha=\"0.18\", expect_size=\"5354496\"] \n  7 -> 8 [size =\"5354496\"]\n  8 [size=\"146742613\", alpha=\"0.13\", expect_size=\"44022784\"] \n  8 -> 9 [size =\"44022784\"]\n  9 [size=\"83496960\", alpha=\"0.05\", expect_size=\"25049088\"] \n  9 -> 10 [size =\"25049088\"]\n  10 [size=\"38737920\", alpha=\"0.04\", expect_size=\"11621376\"] \n  10 -> 11 [size =\"11621376\"]\n  10 -> 12 [size =\"11621376\"]\n  11 [size=\"103809707\", alpha=\"0.16\", expect_size=\"31142912\"] \n  11 -> 13 [size =\"31142912\"]\n  11 -> 14 [size =\"31142912\"]\n  12 [size=\"106588160\", alpha=\"0.14\", expect_size=\"31976448\"] \n  12 -> 13 [size =\"31976448\"]\n  12 -> 14 [size =\"31976448\"]\n  13 [size=\"65682773\", alpha=\"0.12\", expect_size=\"19704832\"] \n  13 -> 15 [size =\"19704832\"]\n  14 [size=\"156794880\", alpha=\"0.01\", expect_size=\"47038464\"] \n  15 [size=\"90893653\", alpha=\"0.17\", expect_size=\"27268096\"] \n  15 -> 16 [size =\"27268096\"]\n  16 [size=\"38420480\", alpha=\"0.10\", expect_size=\"11526144\"] \n  16 -> 17 [size =\"11526144\"]\n  16 -> 18 [size =\"11526144\"]\n  17 [size=\"82913280\", alpha=\"0.06\", expect_size=\"24873984\"] \n  17 -> 19 [size =\"24873984\"]\n  17 -> 20 [size =\"24873984\"]\n  18 [size=\"69939200\", alpha=\"0.17\", expect_size=\"20981760\"] \n  18 -> 19 [size =\"20981760\"]\n  18 -> 20 [size =\"20981760\"]\n  19 [size=\"174144853\", alpha=\"0.13\", expect_size=\"52243456\"] \n  19 -> 21 [size =\"52243456\"]\n  19 -> 22 [size =\"52243456\"]\n  20 [size=\"54323200\", alpha=\"0.13\", expect_size=\"16296960\"] \n  20 -> 21 [size =\"16296960\"]\n  20 -> 22 [size =\"16296960\"]\n  21 [size=\"82121387\", alpha=\"0.08\", expect_size=\"24636416\"] \n  21 -> 24 [size =\"24636416\"]\n  22 [size=\"53050027\", alpha=\"0.07\", expect_size=\"15915008\"] \n  22 -> 23 [size =\"15915008\"]\n  22 -> 24 [size =\"15915008\"]\n  23 [size=\"166857387\", alpha=\"0.07\", expect_size=\"50057216\"] \n  23 -> 25 [size =\"50057216\"]\n  23 -> 26 [size =\"50057216\"]\n  24 [size=\"100440747\", alpha=\"0.01\", expect_size=\"30132224\"] \n  24 -> 25 [size =\"30132224\"]\n  24 -> 26 [size =\"30132224\"]\n  25 [size=\"107509760\", alpha=\"0.04\", expect_size=\"32252928\"] \n  26 [size=\"82827947\", alpha=\"0.06\", expect_size=\"24848384\"] \n  26 -> 27 [size =\"24848384\"]\n  27 [size=\"161208320\", alpha=\"0.08\", expect_size=\"48362496\"] \n  27 -> 28 [size =\"48362496\"]\n  27 -> 29 [size =\"48362496\"]\n  28 [size=\"51602773\", alpha=\"0.06\", expect_size=\"15480832\"] \n  28 -> 31 [size =\"15480832\"]\n  29 [size=\"28682240\", alpha=\"0.13\", expect_size=\"8604672\"] \n  29 -> 30 [size =\"8604672\"]\n  30 [size=\"131321173\", alpha=\"0.03\", expect_size=\"39396352\"] \n  31 [size=\"79435093\", alpha=\"0.03\", expect_size=\"23830528\"] \n  31 -> 32 [size =\"23830528\"]\n  32 [size=\"141827413\", alpha=\"0.15\", expect_size=\"42548224\"] \n  32 -> 33 [size =\"42548224\"]\n  32 -> 34 [size =\"42548224\"]\n  33 [size=\"40857600\", alpha=\"0.13\", expect_size=\"12257280\"] \n  33 -> 35 [size =\"12257280\"]\n  34 [size=\"96177493\", alpha=\"0.08\", expect_size=\"28853248\"] \n  34 -> 35 [size =\"28853248\"]\n  35 [size=\"104990720\", alpha=\"0.13\", expect_size=\"31497216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34877440\", alpha=\"0.14\", expect_size=\"10463232\"] \n  1 -> 26 [size =\"10463232\"]\n  1 -> 27 [size =\"10463232\"]\n  2 [size=\"22394880\", alpha=\"0.09\", expect_size=\"6718464\"] \n  2 -> 26 [size =\"6718464\"]\n  2 -> 27 [size =\"6718464\"]\n  2 -> 29 [size =\"6718464\"]\n  2 -> 33 [size =\"6718464\"]\n  2 -> 34 [size =\"6718464\"]\n  3 [size=\"54036480\", alpha=\"0.13\", expect_size=\"16210944\"] \n  3 -> 26 [size =\"16210944\"]\n  3 -> 27 [size =\"16210944\"]\n  3 -> 29 [size =\"16210944\"]\n  3 -> 33 [size =\"16210944\"]\n  3 -> 34 [size =\"16210944\"]\n  4 [size=\"169137493\", alpha=\"0.07\", expect_size=\"50741248\"] \n  4 -> 27 [size =\"50741248\"]\n  4 -> 27 [size =\"50741248\"]\n  4 -> 29 [size =\"50741248\"]\n  4 -> 32 [size =\"50741248\"]\n  4 -> 33 [size =\"50741248\"]\n  4 -> 34 [size =\"50741248\"]\n  5 [size=\"133075627\", alpha=\"0.02\", expect_size=\"39922688\"] \n  5 -> 26 [size =\"39922688\"]\n  5 -> 27 [size =\"39922688\"]\n  5 -> 29 [size =\"39922688\"]\n  5 -> 31 [size =\"39922688\"]\n  5 -> 32 [size =\"39922688\"]\n  5 -> 33 [size =\"39922688\"]\n  6 [size=\"35099307\", alpha=\"0.01\", expect_size=\"10529792\"] \n  6 -> 27 [size =\"10529792\"]\n  6 -> 32 [size =\"10529792\"]\n  6 -> 33 [size =\"10529792\"]\n  7 [size=\"31986347\", alpha=\"0.02\", expect_size=\"9595904\"] \n  7 -> 26 [size =\"9595904\"]\n  7 -> 33 [size =\"9595904\"]\n  8 [size=\"78987947\", alpha=\"0.14\", expect_size=\"23696384\"] \n  8 -> 28 [size =\"23696384\"]\n  9 [size=\"149568853\", alpha=\"0.15\", expect_size=\"44870656\"] \n  9 -> 31 [size =\"44870656\"]\n  9 -> 32 [size =\"44870656\"]\n  10 [size=\"174049280\", alpha=\"0.12\", expect_size=\"52214784\"] \n  10 -> 31 [size =\"52214784\"]\n  10 -> 34 [size =\"52214784\"]\n  11 [size=\"164795733\", alpha=\"0.10\", expect_size=\"49438720\"] \n  11 -> 29 [size =\"49438720\"]\n  11 -> 32 [size =\"49438720\"]\n  11 -> 34 [size =\"49438720\"]\n  12 [size=\"117800960\", alpha=\"0.14\", expect_size=\"35340288\"] \n  12 -> 26 [size =\"35340288\"]\n  12 -> 27 [size =\"35340288\"]\n  12 -> 32 [size =\"35340288\"]\n  12 -> 34 [size =\"35340288\"]\n  13 [size=\"31245653\", alpha=\"0.09\", expect_size=\"9373696\"] \n  13 -> 34 [size =\"9373696\"]\n  14 [size=\"136867840\", alpha=\"0.12\", expect_size=\"41060352\"] \n  14 -> 29 [size =\"41060352\"]\n  14 -> 33 [size =\"41060352\"]\n  14 -> 34 [size =\"41060352\"]\n  15 [size=\"35160747\", alpha=\"0.12\", expect_size=\"10548224\"] \n  15 -> 31 [size =\"10548224\"]\n  15 -> 32 [size =\"10548224\"]\n  15 -> 33 [size =\"10548224\"]\n  15 -> 35 [size =\"10548224\"]\n  16 [size=\"53183147\", alpha=\"0.14\", expect_size=\"15954944\"] \n  16 -> 26 [size =\"15954944\"]\n  16 -> 27 [size =\"15954944\"]\n  16 -> 32 [size =\"15954944\"]\n  16 -> 33 [size =\"15954944\"]\n  16 -> 35 [size =\"15954944\"]\n  17 [size=\"60723200\", alpha=\"0.15\", expect_size=\"18216960\"] \n  18 [size=\"79714987\", alpha=\"0.15\", expect_size=\"23914496\"] \n  18 -> 27 [size =\"23914496\"]\n  18 -> 32 [size =\"23914496\"]\n  18 -> 34 [size =\"23914496\"]\n  19 [size=\"32658773\", alpha=\"0.18\", expect_size=\"9797632\"] \n  19 -> 27 [size =\"9797632\"]\n  19 -> 28 [size =\"9797632\"]\n  19 -> 29 [size =\"9797632\"]\n  19 -> 32 [size =\"9797632\"]\n  19 -> 34 [size =\"9797632\"]\n  20 [size=\"146909867\", alpha=\"0.04\", expect_size=\"44072960\"] \n  20 -> 29 [size =\"44072960\"]\n  20 -> 30 [size =\"44072960\"]\n  20 -> 32 [size =\"44072960\"]\n  20 -> 34 [size =\"44072960\"]\n  21 [size=\"87705600\", alpha=\"0.13\", expect_size=\"26311680\"] \n  21 -> 29 [size =\"26311680\"]\n  21 -> 32 [size =\"26311680\"]\n  21 -> 34 [size =\"26311680\"]\n  22 [size=\"168215893\", alpha=\"0.02\", expect_size=\"50464768\"] \n  22 -> 32 [size =\"50464768\"]\n  22 -> 34 [size =\"50464768\"]\n  22 -> 34 [size =\"50464768\"]\n  23 [size=\"123269120\", alpha=\"0.17\", expect_size=\"36980736\"] \n  23 -> 27 [size =\"36980736\"]\n  23 -> 32 [size =\"36980736\"]\n  23 -> 34 [size =\"36980736\"]\n  24 [size=\"37816320\", alpha=\"0.10\", expect_size=\"11344896\"] \n  24 -> 27 [size =\"11344896\"]\n  24 -> 29 [size =\"11344896\"]\n  24 -> 32 [size =\"11344896\"]\n  24 -> 33 [size =\"11344896\"]\n  24 -> 35 [size =\"11344896\"]\n  25 [size=\"129645227\", alpha=\"0.18\", expect_size=\"38893568\"] \n  25 -> 27 [size =\"38893568\"]\n  26 [size=\"67877547\", alpha=\"0.08\", expect_size=\"20363264\"] \n  27 [size=\"23371093\", alpha=\"0.00\", expect_size=\"7011328\"] \n  28 [size=\"141175467\", alpha=\"0.00\", expect_size=\"42352640\"] \n  29 [size=\"99935573\", alpha=\"0.17\", expect_size=\"29980672\"] \n  30 [size=\"81592320\", alpha=\"0.14\", expect_size=\"24477696\"] \n  31 [size=\"115008853\", alpha=\"0.09\", expect_size=\"34502656\"] \n  32 [size=\"60296533\", alpha=\"0.17\", expect_size=\"18088960\"] \n  33 [size=\"79670613\", alpha=\"0.07\", expect_size=\"23901184\"] \n  34 [size=\"52398080\", alpha=\"0.12\", expect_size=\"15719424\"] \n  35 [size=\"130146987\", alpha=\"0.20\", expect_size=\"39044096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162181120\", alpha=\"0.05\", expect_size=\"48654336\"] \n  1 -> 3 [size =\"48654336\"]\n  2 [size=\"17967787\", alpha=\"0.12\", expect_size=\"5390336\"] \n  2 -> 3 [size =\"5390336\"]\n  3 [size=\"99457707\", alpha=\"0.17\", expect_size=\"29837312\"] \n  3 -> 4 [size =\"29837312\"]\n  3 -> 5 [size =\"29837312\"]\n  4 [size=\"53585920\", alpha=\"0.08\", expect_size=\"16075776\"] \n  4 -> 6 [size =\"16075776\"]\n  5 [size=\"126573227\", alpha=\"0.09\", expect_size=\"37971968\"] \n  5 -> 6 [size =\"37971968\"]\n  5 -> 7 [size =\"37971968\"]\n  6 [size=\"21674667\", alpha=\"0.03\", expect_size=\"6502400\"] \n  6 -> 8 [size =\"6502400\"]\n  7 [size=\"65078613\", alpha=\"0.02\", expect_size=\"19523584\"] \n  7 -> 8 [size =\"19523584\"]\n  7 -> 9 [size =\"19523584\"]\n  8 [size=\"97181013\", alpha=\"0.11\", expect_size=\"29154304\"] \n  8 -> 10 [size =\"29154304\"]\n  9 [size=\"116715520\", alpha=\"0.08\", expect_size=\"35014656\"] \n  9 -> 10 [size =\"35014656\"]\n  10 [size=\"72349013\", alpha=\"0.18\", expect_size=\"21704704\"] \n  10 -> 11 [size =\"21704704\"]\n  11 [size=\"89821867\", alpha=\"0.11\", expect_size=\"26946560\"] \n  11 -> 12 [size =\"26946560\"]\n  12 [size=\"126532267\", alpha=\"0.09\", expect_size=\"37959680\"] \n  12 -> 13 [size =\"37959680\"]\n  13 [size=\"62487893\", alpha=\"0.18\", expect_size=\"18746368\"] \n  13 -> 14 [size =\"18746368\"]\n  13 -> 15 [size =\"18746368\"]\n  14 [size=\"39669760\", alpha=\"0.19\", expect_size=\"11900928\"] \n  15 [size=\"105420800\", alpha=\"0.07\", expect_size=\"31626240\"] \n  15 -> 16 [size =\"31626240\"]\n  15 -> 17 [size =\"31626240\"]\n  16 [size=\"18974720\", alpha=\"0.14\", expect_size=\"5692416\"] \n  16 -> 18 [size =\"5692416\"]\n  17 [size=\"39731200\", alpha=\"0.19\", expect_size=\"11919360\"] \n  17 -> 18 [size =\"11919360\"]\n  18 [size=\"52029440\", alpha=\"0.12\", expect_size=\"15608832\"] \n  18 -> 19 [size =\"15608832\"]\n  18 -> 20 [size =\"15608832\"]\n  19 [size=\"137451520\", alpha=\"0.15\", expect_size=\"41235456\"] \n  19 -> 21 [size =\"41235456\"]\n  19 -> 22 [size =\"41235456\"]\n  20 [size=\"42946560\", alpha=\"0.00\", expect_size=\"12883968\"] \n  20 -> 21 [size =\"12883968\"]\n  21 [size=\"28262400\", alpha=\"0.04\", expect_size=\"8478720\"] \n  21 -> 23 [size =\"8478720\"]\n  22 [size=\"113684480\", alpha=\"0.08\", expect_size=\"34105344\"] \n  22 -> 23 [size =\"34105344\"]\n  23 [size=\"23493973\", alpha=\"0.02\", expect_size=\"7048192\"] \n  23 -> 24 [size =\"7048192\"]\n  24 [size=\"167850667\", alpha=\"0.01\", expect_size=\"50355200\"] \n  24 -> 25 [size =\"50355200\"]\n  25 [size=\"156839253\", alpha=\"0.13\", expect_size=\"47051776\"] \n  25 -> 26 [size =\"47051776\"]\n  26 [size=\"55767040\", alpha=\"0.06\", expect_size=\"16730112\"] \n  26 -> 27 [size =\"16730112\"]\n  27 [size=\"163577173\", alpha=\"0.06\", expect_size=\"49073152\"] \n  27 -> 28 [size =\"49073152\"]\n  27 -> 29 [size =\"49073152\"]\n  28 [size=\"152528213\", alpha=\"0.15\", expect_size=\"45758464\"] \n  28 -> 30 [size =\"45758464\"]\n  29 [size=\"89685333\", alpha=\"0.17\", expect_size=\"26905600\"] \n  29 -> 30 [size =\"26905600\"]\n  29 -> 31 [size =\"26905600\"]\n  30 [size=\"50018987\", alpha=\"0.06\", expect_size=\"15005696\"] \n  30 -> 32 [size =\"15005696\"]\n  31 [size=\"51930453\", alpha=\"0.04\", expect_size=\"15579136\"] \n  31 -> 32 [size =\"15579136\"]\n  32 [size=\"82831360\", alpha=\"0.16\", expect_size=\"24849408\"] \n  32 -> 33 [size =\"24849408\"]\n  32 -> 34 [size =\"24849408\"]\n  33 [size=\"143220053\", alpha=\"0.14\", expect_size=\"42966016\"] \n  33 -> 35 [size =\"42966016\"]\n  34 [size=\"157794987\", alpha=\"0.14\", expect_size=\"47338496\"] \n  34 -> 35 [size =\"47338496\"]\n  35 [size=\"162658987\", alpha=\"0.06\", expect_size=\"48797696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79593472\", alpha=\"0.07\", expect_size=\"39796736\"] \n  1 -> 3 [size =\"39796736\"]\n  2 [size=\"94244864\", alpha=\"0.03\", expect_size=\"47122432\"] \n  2 -> 3 [size =\"47122432\"]\n  3 [size=\"48629760\", alpha=\"0.15\", expect_size=\"24314880\"] \n  3 -> 4 [size =\"24314880\"]\n  3 -> 5 [size =\"24314880\"]\n  4 [size=\"35522560\", alpha=\"0.16\", expect_size=\"17761280\"] \n  4 -> 6 [size =\"17761280\"]\n  4 -> 7 [size =\"17761280\"]\n  5 [size=\"18145280\", alpha=\"0.15\", expect_size=\"9072640\"] \n  5 -> 6 [size =\"9072640\"]\n  5 -> 7 [size =\"9072640\"]\n  6 [size=\"56668160\", alpha=\"0.17\", expect_size=\"28334080\"] \n  6 -> 8 [size =\"28334080\"]\n  6 -> 9 [size =\"28334080\"]\n  7 [size=\"51660800\", alpha=\"0.11\", expect_size=\"25830400\"] \n  7 -> 8 [size =\"25830400\"]\n  7 -> 9 [size =\"25830400\"]\n  8 [size=\"14198784\", alpha=\"0.12\", expect_size=\"7099392\"] \n  9 [size=\"79413248\", alpha=\"0.09\", expect_size=\"39706624\"] \n  9 -> 10 [size =\"39706624\"]\n  10 [size=\"47034368\", alpha=\"0.13\", expect_size=\"23517184\"] \n  10 -> 11 [size =\"23517184\"]\n  10 -> 12 [size =\"23517184\"]\n  11 [size=\"81698816\", alpha=\"0.01\", expect_size=\"40849408\"] \n  11 -> 13 [size =\"40849408\"]\n  12 [size=\"21168128\", alpha=\"0.13\", expect_size=\"10584064\"] \n  12 -> 13 [size =\"10584064\"]\n  13 [size=\"36153344\", alpha=\"0.15\", expect_size=\"18076672\"] \n  13 -> 14 [size =\"18076672\"]\n  13 -> 15 [size =\"18076672\"]\n  14 [size=\"104763392\", alpha=\"0.13\", expect_size=\"52381696\"] \n  14 -> 16 [size =\"52381696\"]\n  14 -> 17 [size =\"52381696\"]\n  15 [size=\"87404544\", alpha=\"0.04\", expect_size=\"43702272\"] \n  15 -> 16 [size =\"43702272\"]\n  16 [size=\"63631360\", alpha=\"0.08\", expect_size=\"31815680\"] \n  16 -> 18 [size =\"31815680\"]\n  16 -> 19 [size =\"31815680\"]\n  17 [size=\"51505152\", alpha=\"0.03\", expect_size=\"25752576\"] \n  17 -> 18 [size =\"25752576\"]\n  18 [size=\"11235328\", alpha=\"0.13\", expect_size=\"5617664\"] \n  18 -> 20 [size =\"5617664\"]\n  19 [size=\"70178816\", alpha=\"0.00\", expect_size=\"35089408\"] \n  19 -> 20 [size =\"35089408\"]\n  19 -> 21 [size =\"35089408\"]\n  20 [size=\"18714624\", alpha=\"0.15\", expect_size=\"9357312\"] \n  20 -> 22 [size =\"9357312\"]\n  20 -> 23 [size =\"9357312\"]\n  21 [size=\"78817280\", alpha=\"0.04\", expect_size=\"39408640\"] \n  21 -> 22 [size =\"39408640\"]\n  22 [size=\"83832832\", alpha=\"0.10\", expect_size=\"41916416\"] \n  22 -> 24 [size =\"41916416\"]\n  23 [size=\"51019776\", alpha=\"0.05\", expect_size=\"25509888\"] \n  23 -> 24 [size =\"25509888\"]\n  24 [size=\"25167872\", alpha=\"0.05\", expect_size=\"12583936\"] \n  24 -> 25 [size =\"12583936\"]\n  24 -> 26 [size =\"12583936\"]\n  25 [size=\"84224000\", alpha=\"0.07\", expect_size=\"42112000\"] \n  25 -> 28 [size =\"42112000\"]\n  26 [size=\"102006784\", alpha=\"0.18\", expect_size=\"51003392\"] \n  26 -> 27 [size =\"51003392\"]\n  27 [size=\"44503040\", alpha=\"0.19\", expect_size=\"22251520\"] \n  27 -> 29 [size =\"22251520\"]\n  27 -> 30 [size =\"22251520\"]\n  28 [size=\"60143616\", alpha=\"0.20\", expect_size=\"30071808\"] \n  28 -> 29 [size =\"30071808\"]\n  28 -> 30 [size =\"30071808\"]\n  29 [size=\"28366848\", alpha=\"0.15\", expect_size=\"14183424\"] \n  29 -> 31 [size =\"14183424\"]\n  29 -> 32 [size =\"14183424\"]\n  30 [size=\"29403136\", alpha=\"0.19\", expect_size=\"14701568\"] \n  30 -> 31 [size =\"14701568\"]\n  30 -> 32 [size =\"14701568\"]\n  31 [size=\"98037760\", alpha=\"0.17\", expect_size=\"49018880\"] \n  31 -> 33 [size =\"49018880\"]\n  32 [size=\"20267008\", alpha=\"0.18\", expect_size=\"10133504\"] \n  32 -> 33 [size =\"10133504\"]\n  33 [size=\"68593664\", alpha=\"0.04\", expect_size=\"34296832\"] \n  33 -> 34 [size =\"34296832\"]\n  34 [size=\"92416000\", alpha=\"0.10\", expect_size=\"46208000\"] \n  34 -> 35 [size =\"46208000\"]\n  35 [size=\"22405120\", alpha=\"0.13\", expect_size=\"11202560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16400384\", alpha=\"0.05\", expect_size=\"8200192\"] \n  1 -> 5 [size =\"8200192\"]\n  1 -> 6 [size =\"8200192\"]\n  1 -> 8 [size =\"8200192\"]\n  1 -> 9 [size =\"8200192\"]\n  2 [size=\"98494464\", alpha=\"0.03\", expect_size=\"49247232\"] \n  2 -> 5 [size =\"49247232\"]\n  2 -> 6 [size =\"49247232\"]\n  2 -> 7 [size =\"49247232\"]\n  2 -> 8 [size =\"49247232\"]\n  2 -> 9 [size =\"49247232\"]\n  3 [size=\"74776576\", alpha=\"0.04\", expect_size=\"37388288\"] \n  3 -> 4 [size =\"37388288\"]\n  3 -> 5 [size =\"37388288\"]\n  3 -> 7 [size =\"37388288\"]\n  3 -> 9 [size =\"37388288\"]\n  4 [size=\"75980800\", alpha=\"0.10\", expect_size=\"37990400\"] \n  4 -> 11 [size =\"37990400\"]\n  4 -> 12 [size =\"37990400\"]\n  4 -> 13 [size =\"37990400\"]\n  5 [size=\"12611584\", alpha=\"0.17\", expect_size=\"6305792\"] \n  5 -> 11 [size =\"6305792\"]\n  5 -> 12 [size =\"6305792\"]\n  6 [size=\"68401152\", alpha=\"0.12\", expect_size=\"34200576\"] \n  6 -> 12 [size =\"34200576\"]\n  6 -> 15 [size =\"34200576\"]\n  7 [size=\"66555904\", alpha=\"0.16\", expect_size=\"33277952\"] \n  7 -> 10 [size =\"33277952\"]\n  7 -> 11 [size =\"33277952\"]\n  7 -> 12 [size =\"33277952\"]\n  7 -> 13 [size =\"33277952\"]\n  7 -> 14 [size =\"33277952\"]\n  7 -> 15 [size =\"33277952\"]\n  8 [size=\"92983296\", alpha=\"0.17\", expect_size=\"46491648\"] \n  8 -> 10 [size =\"46491648\"]\n  8 -> 13 [size =\"46491648\"]\n  8 -> 15 [size =\"46491648\"]\n  9 [size=\"85401600\", alpha=\"0.03\", expect_size=\"42700800\"] \n  9 -> 10 [size =\"42700800\"]\n  9 -> 13 [size =\"42700800\"]\n  10 [size=\"19869696\", alpha=\"0.10\", expect_size=\"9934848\"] \n  10 -> 17 [size =\"9934848\"]\n  11 [size=\"40650752\", alpha=\"0.15\", expect_size=\"20325376\"] \n  11 -> 16 [size =\"20325376\"]\n  12 [size=\"62255104\", alpha=\"0.06\", expect_size=\"31127552\"] \n  12 -> 16 [size =\"31127552\"]\n  12 -> 18 [size =\"31127552\"]\n  12 -> 19 [size =\"31127552\"]\n  13 [size=\"77811712\", alpha=\"0.01\", expect_size=\"38905856\"] \n  13 -> 17 [size =\"38905856\"]\n  13 -> 18 [size =\"38905856\"]\n  14 [size=\"97193984\", alpha=\"0.17\", expect_size=\"48596992\"] \n  14 -> 17 [size =\"48596992\"]\n  14 -> 18 [size =\"48596992\"]\n  15 [size=\"51941376\", alpha=\"0.04\", expect_size=\"25970688\"] \n  16 [size=\"36796416\", alpha=\"0.11\", expect_size=\"18398208\"] \n  16 -> 20 [size =\"18398208\"]\n  16 -> 23 [size =\"18398208\"]\n  17 [size=\"91420672\", alpha=\"0.07\", expect_size=\"45710336\"] \n  17 -> 23 [size =\"45710336\"]\n  18 [size=\"71030784\", alpha=\"0.18\", expect_size=\"35515392\"] \n  18 -> 21 [size =\"35515392\"]\n  18 -> 22 [size =\"35515392\"]\n  18 -> 23 [size =\"35515392\"]\n  19 [size=\"55111680\", alpha=\"0.07\", expect_size=\"27555840\"] \n  19 -> 21 [size =\"27555840\"]\n  20 [size=\"68315136\", alpha=\"0.12\", expect_size=\"34157568\"] \n  20 -> 25 [size =\"34157568\"]\n  20 -> 26 [size =\"34157568\"]\n  20 -> 28 [size =\"34157568\"]\n  20 -> 29 [size =\"34157568\"]\n  21 [size=\"21868544\", alpha=\"0.20\", expect_size=\"10934272\"] \n  21 -> 25 [size =\"10934272\"]\n  21 -> 26 [size =\"10934272\"]\n  21 -> 28 [size =\"10934272\"]\n  21 -> 29 [size =\"10934272\"]\n  22 [size=\"93339648\", alpha=\"0.05\", expect_size=\"46669824\"] \n  22 -> 25 [size =\"46669824\"]\n  23 [size=\"26419200\", alpha=\"0.05\", expect_size=\"13209600\"] \n  23 -> 24 [size =\"13209600\"]\n  23 -> 27 [size =\"13209600\"]\n  23 -> 28 [size =\"13209600\"]\n  23 -> 29 [size =\"13209600\"]\n  24 [size=\"33032192\", alpha=\"0.18\", expect_size=\"16516096\"] \n  24 -> 30 [size =\"16516096\"]\n  24 -> 32 [size =\"16516096\"]\n  25 [size=\"17606656\", alpha=\"0.12\", expect_size=\"8803328\"] \n  25 -> 30 [size =\"8803328\"]\n  26 [size=\"35588096\", alpha=\"0.18\", expect_size=\"17794048\"] \n  26 -> 30 [size =\"17794048\"]\n  26 -> 31 [size =\"17794048\"]\n  26 -> 32 [size =\"17794048\"]\n  27 [size=\"87740416\", alpha=\"0.16\", expect_size=\"43870208\"] \n  27 -> 30 [size =\"43870208\"]\n  27 -> 32 [size =\"43870208\"]\n  28 [size=\"27871232\", alpha=\"0.11\", expect_size=\"13935616\"] \n  28 -> 30 [size =\"13935616\"]\n  28 -> 31 [size =\"13935616\"]\n  28 -> 33 [size =\"13935616\"]\n  29 [size=\"16889856\", alpha=\"0.03\", expect_size=\"8444928\"] \n  29 -> 31 [size =\"8444928\"]\n  29 -> 32 [size =\"8444928\"]\n  29 -> 33 [size =\"8444928\"]\n  30 [size=\"47665152\", alpha=\"0.16\", expect_size=\"23832576\"] \n  31 [size=\"12029952\", alpha=\"0.16\", expect_size=\"6014976\"] \n  31 -> 34 [size =\"6014976\"]\n  32 [size=\"104644608\", alpha=\"0.06\", expect_size=\"52322304\"] \n  32 -> 35 [size =\"52322304\"]\n  33 [size=\"36028416\", alpha=\"0.11\", expect_size=\"18014208\"] \n  33 -> 35 [size =\"18014208\"]\n  34 [size=\"59217920\", alpha=\"0.15\", expect_size=\"29608960\"] \n  35 [size=\"50966528\", alpha=\"0.07\", expect_size=\"25483264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14225408\", alpha=\"0.04\", expect_size=\"7112704\"] \n  1 -> 2 [size =\"7112704\"]\n  2 [size=\"54976512\", alpha=\"0.05\", expect_size=\"27488256\"] \n  2 -> 3 [size =\"27488256\"]\n  2 -> 4 [size =\"27488256\"]\n  3 [size=\"79917056\", alpha=\"0.16\", expect_size=\"39958528\"] \n  3 -> 5 [size =\"39958528\"]\n  3 -> 6 [size =\"39958528\"]\n  4 [size=\"75094016\", alpha=\"0.01\", expect_size=\"37547008\"] \n  4 -> 6 [size =\"37547008\"]\n  5 [size=\"83578880\", alpha=\"0.05\", expect_size=\"41789440\"] \n  5 -> 7 [size =\"41789440\"]\n  6 [size=\"28715008\", alpha=\"0.20\", expect_size=\"14357504\"] \n  6 -> 7 [size =\"14357504\"]\n  7 [size=\"13211648\", alpha=\"0.03\", expect_size=\"6605824\"] \n  7 -> 8 [size =\"6605824\"]\n  8 [size=\"31877120\", alpha=\"0.08\", expect_size=\"15938560\"] \n  8 -> 9 [size =\"15938560\"]\n  9 [size=\"93399040\", alpha=\"0.11\", expect_size=\"46699520\"] \n  9 -> 10 [size =\"46699520\"]\n  10 [size=\"89731072\", alpha=\"0.18\", expect_size=\"44865536\"] \n  10 -> 11 [size =\"44865536\"]\n  11 [size=\"72697856\", alpha=\"0.18\", expect_size=\"36348928\"] \n  11 -> 12 [size =\"36348928\"]\n  12 [size=\"91725824\", alpha=\"0.18\", expect_size=\"45862912\"] \n  12 -> 13 [size =\"45862912\"]\n  13 [size=\"20662272\", alpha=\"0.03\", expect_size=\"10331136\"] \n  13 -> 14 [size =\"10331136\"]\n  13 -> 15 [size =\"10331136\"]\n  14 [size=\"93878272\", alpha=\"0.12\", expect_size=\"46939136\"] \n  14 -> 16 [size =\"46939136\"]\n  14 -> 17 [size =\"46939136\"]\n  15 [size=\"100513792\", alpha=\"0.06\", expect_size=\"50256896\"] \n  15 -> 16 [size =\"50256896\"]\n  15 -> 17 [size =\"50256896\"]\n  16 [size=\"29059072\", alpha=\"0.06\", expect_size=\"14529536\"] \n  16 -> 18 [size =\"14529536\"]\n  16 -> 19 [size =\"14529536\"]\n  17 [size=\"28872704\", alpha=\"0.01\", expect_size=\"14436352\"] \n  17 -> 18 [size =\"14436352\"]\n  17 -> 19 [size =\"14436352\"]\n  18 [size=\"44087296\", alpha=\"0.07\", expect_size=\"22043648\"] \n  18 -> 20 [size =\"22043648\"]\n  19 [size=\"80179200\", alpha=\"0.11\", expect_size=\"40089600\"] \n  19 -> 20 [size =\"40089600\"]\n  20 [size=\"37560320\", alpha=\"0.19\", expect_size=\"18780160\"] \n  20 -> 21 [size =\"18780160\"]\n  21 [size=\"28413952\", alpha=\"0.08\", expect_size=\"14206976\"] \n  21 -> 22 [size =\"14206976\"]\n  21 -> 23 [size =\"14206976\"]\n  22 [size=\"20459520\", alpha=\"0.07\", expect_size=\"10229760\"] \n  22 -> 24 [size =\"10229760\"]\n  23 [size=\"12599296\", alpha=\"0.20\", expect_size=\"6299648\"] \n  23 -> 24 [size =\"6299648\"]\n  24 [size=\"28063744\", alpha=\"0.07\", expect_size=\"14031872\"] \n  24 -> 25 [size =\"14031872\"]\n  24 -> 26 [size =\"14031872\"]\n  25 [size=\"83290112\", alpha=\"0.09\", expect_size=\"41645056\"] \n  26 [size=\"18874368\", alpha=\"0.15\", expect_size=\"9437184\"] \n  26 -> 27 [size =\"9437184\"]\n  26 -> 28 [size =\"9437184\"]\n  27 [size=\"47034368\", alpha=\"0.02\", expect_size=\"23517184\"] \n  27 -> 29 [size =\"23517184\"]\n  28 [size=\"51642368\", alpha=\"0.13\", expect_size=\"25821184\"] \n  28 -> 29 [size =\"25821184\"]\n  29 [size=\"86480896\", alpha=\"0.02\", expect_size=\"43240448\"] \n  29 -> 30 [size =\"43240448\"]\n  29 -> 31 [size =\"43240448\"]\n  30 [size=\"42631168\", alpha=\"0.08\", expect_size=\"21315584\"] \n  30 -> 32 [size =\"21315584\"]\n  31 [size=\"37777408\", alpha=\"0.07\", expect_size=\"18888704\"] \n  31 -> 32 [size =\"18888704\"]\n  32 [size=\"75661312\", alpha=\"0.03\", expect_size=\"37830656\"] \n  32 -> 33 [size =\"37830656\"]\n  33 [size=\"12032000\", alpha=\"0.01\", expect_size=\"6016000\"] \n  33 -> 34 [size =\"6016000\"]\n  33 -> 35 [size =\"6016000\"]\n  34 [size=\"10692608\", alpha=\"0.17\", expect_size=\"5346304\"] \n  35 [size=\"41881600\", alpha=\"0.12\", expect_size=\"20940800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61208576\", alpha=\"0.16\", expect_size=\"30604288\"] \n  1 -> 21 [size =\"30604288\"]\n  2 [size=\"94973952\", alpha=\"0.12\", expect_size=\"47486976\"] \n  2 -> 19 [size =\"47486976\"]\n  2 -> 20 [size =\"47486976\"]\n  2 -> 23 [size =\"47486976\"]\n  3 [size=\"35100672\", alpha=\"0.13\", expect_size=\"17550336\"] \n  3 -> 18 [size =\"17550336\"]\n  3 -> 19 [size =\"17550336\"]\n  3 -> 23 [size =\"17550336\"]\n  4 [size=\"44924928\", alpha=\"0.12\", expect_size=\"22462464\"] \n  4 -> 20 [size =\"22462464\"]\n  4 -> 22 [size =\"22462464\"]\n  4 -> 23 [size =\"22462464\"]\n  5 [size=\"50464768\", alpha=\"0.11\", expect_size=\"25232384\"] \n  5 -> 16 [size =\"25232384\"]\n  5 -> 17 [size =\"25232384\"]\n  5 -> 18 [size =\"25232384\"]\n  5 -> 19 [size =\"25232384\"]\n  6 [size=\"72615936\", alpha=\"0.01\", expect_size=\"36307968\"] \n  6 -> 16 [size =\"36307968\"]\n  6 -> 19 [size =\"36307968\"]\n  7 [size=\"23670784\", alpha=\"0.15\", expect_size=\"11835392\"] \n  7 -> 16 [size =\"11835392\"]\n  7 -> 19 [size =\"11835392\"]\n  7 -> 23 [size =\"11835392\"]\n  8 [size=\"103278592\", alpha=\"0.02\", expect_size=\"51639296\"] \n  8 -> 16 [size =\"51639296\"]\n  8 -> 21 [size =\"51639296\"]\n  8 -> 23 [size =\"51639296\"]\n  9 [size=\"70811648\", alpha=\"0.09\", expect_size=\"35405824\"] \n  9 -> 16 [size =\"35405824\"]\n  9 -> 18 [size =\"35405824\"]\n  9 -> 21 [size =\"35405824\"]\n  10 [size=\"68775936\", alpha=\"0.12\", expect_size=\"34387968\"] \n  10 -> 17 [size =\"34387968\"]\n  10 -> 21 [size =\"34387968\"]\n  10 -> 21 [size =\"34387968\"]\n  10 -> 22 [size =\"34387968\"]\n  10 -> 23 [size =\"34387968\"]\n  11 [size=\"76914688\", alpha=\"0.07\", expect_size=\"38457344\"] \n  11 -> 16 [size =\"38457344\"]\n  11 -> 17 [size =\"38457344\"]\n  11 -> 18 [size =\"38457344\"]\n  11 -> 20 [size =\"38457344\"]\n  11 -> 22 [size =\"38457344\"]\n  12 [size=\"58865664\", alpha=\"0.02\", expect_size=\"29432832\"] \n  12 -> 16 [size =\"29432832\"]\n  12 -> 17 [size =\"29432832\"]\n  12 -> 18 [size =\"29432832\"]\n  12 -> 20 [size =\"29432832\"]\n  12 -> 21 [size =\"29432832\"]\n  12 -> 23 [size =\"29432832\"]\n  13 [size=\"19650560\", alpha=\"0.14\", expect_size=\"9825280\"] \n  13 -> 17 [size =\"9825280\"]\n  13 -> 21 [size =\"9825280\"]\n  14 [size=\"79527936\", alpha=\"0.07\", expect_size=\"39763968\"] \n  15 [size=\"42983424\", alpha=\"0.02\", expect_size=\"21491712\"] \n  15 -> 16 [size =\"21491712\"]\n  15 -> 18 [size =\"21491712\"]\n  15 -> 19 [size =\"21491712\"]\n  15 -> 20 [size =\"21491712\"]\n  16 [size=\"93345792\", alpha=\"0.18\", expect_size=\"46672896\"] \n  16 -> 28 [size =\"46672896\"]\n  17 [size=\"99424256\", alpha=\"0.19\", expect_size=\"49712128\"] \n  17 -> 26 [size =\"49712128\"]\n  17 -> 27 [size =\"49712128\"]\n  17 -> 30 [size =\"49712128\"]\n  18 [size=\"77987840\", alpha=\"0.18\", expect_size=\"38993920\"] \n  18 -> 26 [size =\"38993920\"]\n  18 -> 29 [size =\"38993920\"]\n  18 -> 30 [size =\"38993920\"]\n  18 -> 31 [size =\"38993920\"]\n  18 -> 32 [size =\"38993920\"]\n  19 [size=\"86097920\", alpha=\"0.00\", expect_size=\"43048960\"] \n  19 -> 26 [size =\"43048960\"]\n  20 [size=\"36194304\", alpha=\"0.04\", expect_size=\"18097152\"] \n  20 -> 24 [size =\"18097152\"]\n  20 -> 28 [size =\"18097152\"]\n  21 [size=\"93181952\", alpha=\"0.18\", expect_size=\"46590976\"] \n  21 -> 24 [size =\"46590976\"]\n  21 -> 27 [size =\"46590976\"]\n  21 -> 29 [size =\"46590976\"]\n  22 [size=\"30703616\", alpha=\"0.10\", expect_size=\"15351808\"] \n  22 -> 29 [size =\"15351808\"]\n  22 -> 30 [size =\"15351808\"]\n  23 [size=\"41926656\", alpha=\"0.08\", expect_size=\"20963328\"] \n  23 -> 24 [size =\"20963328\"]\n  23 -> 25 [size =\"20963328\"]\n  23 -> 28 [size =\"20963328\"]\n  23 -> 32 [size =\"20963328\"]\n  24 [size=\"13099008\", alpha=\"0.13\", expect_size=\"6549504\"] \n  24 -> 35 [size =\"6549504\"]\n  25 [size=\"44859392\", alpha=\"0.06\", expect_size=\"22429696\"] \n  25 -> 35 [size =\"22429696\"]\n  26 [size=\"52471808\", alpha=\"0.12\", expect_size=\"26235904\"] \n  26 -> 33 [size =\"26235904\"]\n  26 -> 34 [size =\"26235904\"]\n  27 [size=\"41525248\", alpha=\"0.02\", expect_size=\"20762624\"] \n  28 [size=\"38846464\", alpha=\"0.11\", expect_size=\"19423232\"] \n  28 -> 35 [size =\"19423232\"]\n  29 [size=\"28637184\", alpha=\"0.12\", expect_size=\"14318592\"] \n  30 [size=\"29145088\", alpha=\"0.06\", expect_size=\"14572544\"] \n  30 -> 35 [size =\"14572544\"]\n  31 [size=\"46831616\", alpha=\"0.15\", expect_size=\"23415808\"] \n  31 -> 33 [size =\"23415808\"]\n  32 [size=\"38043648\", alpha=\"0.13\", expect_size=\"19021824\"] \n  32 -> 33 [size =\"19021824\"]\n  33 [size=\"87273472\", alpha=\"0.13\", expect_size=\"43636736\"] \n  34 [size=\"30392320\", alpha=\"0.08\", expect_size=\"15196160\"] \n  35 [size=\"90585088\", alpha=\"0.10\", expect_size=\"45292544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56854528\", alpha=\"0.05\", expect_size=\"28427264\"] \n  1 -> 5 [size =\"28427264\"]\n  1 -> 6 [size =\"28427264\"]\n  1 -> 7 [size =\"28427264\"]\n  1 -> 9 [size =\"28427264\"]\n  1 -> 10 [size =\"28427264\"]\n  2 [size=\"84727808\", alpha=\"0.19\", expect_size=\"42363904\"] \n  2 -> 5 [size =\"42363904\"]\n  2 -> 6 [size =\"42363904\"]\n  2 -> 7 [size =\"42363904\"]\n  3 [size=\"55447552\", alpha=\"0.11\", expect_size=\"27723776\"] \n  3 -> 5 [size =\"27723776\"]\n  3 -> 6 [size =\"27723776\"]\n  3 -> 7 [size =\"27723776\"]\n  3 -> 8 [size =\"27723776\"]\n  3 -> 10 [size =\"27723776\"]\n  4 [size=\"38422528\", alpha=\"0.19\", expect_size=\"19211264\"] \n  4 -> 5 [size =\"19211264\"]\n  4 -> 6 [size =\"19211264\"]\n  4 -> 8 [size =\"19211264\"]\n  4 -> 9 [size =\"19211264\"]\n  4 -> 10 [size =\"19211264\"]\n  5 [size=\"56977408\", alpha=\"0.14\", expect_size=\"28488704\"] \n  5 -> 13 [size =\"28488704\"]\n  6 [size=\"63115264\", alpha=\"0.05\", expect_size=\"31557632\"] \n  6 -> 11 [size =\"31557632\"]\n  6 -> 13 [size =\"31557632\"]\n  6 -> 14 [size =\"31557632\"]\n  7 [size=\"53540864\", alpha=\"0.20\", expect_size=\"26770432\"] \n  7 -> 11 [size =\"26770432\"]\n  7 -> 13 [size =\"26770432\"]\n  7 -> 14 [size =\"26770432\"]\n  7 -> 15 [size =\"26770432\"]\n  8 [size=\"89860096\", alpha=\"0.05\", expect_size=\"44930048\"] \n  8 -> 11 [size =\"44930048\"]\n  8 -> 13 [size =\"44930048\"]\n  8 -> 14 [size =\"44930048\"]\n  8 -> 15 [size =\"44930048\"]\n  9 [size=\"14184448\", alpha=\"0.19\", expect_size=\"7092224\"] \n  9 -> 11 [size =\"7092224\"]\n  9 -> 12 [size =\"7092224\"]\n  9 -> 14 [size =\"7092224\"]\n  10 [size=\"35889152\", alpha=\"0.13\", expect_size=\"17944576\"] \n  10 -> 11 [size =\"17944576\"]\n  10 -> 13 [size =\"17944576\"]\n  10 -> 14 [size =\"17944576\"]\n  11 [size=\"86392832\", alpha=\"0.11\", expect_size=\"43196416\"] \n  11 -> 18 [size =\"43196416\"]\n  11 -> 19 [size =\"43196416\"]\n  12 [size=\"16484352\", alpha=\"0.09\", expect_size=\"8242176\"] \n  12 -> 16 [size =\"8242176\"]\n  12 -> 17 [size =\"8242176\"]\n  12 -> 18 [size =\"8242176\"]\n  12 -> 19 [size =\"8242176\"]\n  13 [size=\"11180032\", alpha=\"0.12\", expect_size=\"5590016\"] \n  13 -> 19 [size =\"5590016\"]\n  14 [size=\"62173184\", alpha=\"0.08\", expect_size=\"31086592\"] \n  14 -> 18 [size =\"31086592\"]\n  14 -> 19 [size =\"31086592\"]\n  15 [size=\"55617536\", alpha=\"0.07\", expect_size=\"27808768\"] \n  15 -> 18 [size =\"27808768\"]\n  15 -> 19 [size =\"27808768\"]\n  16 [size=\"25970688\", alpha=\"0.04\", expect_size=\"12985344\"] \n  16 -> 20 [size =\"12985344\"]\n  16 -> 21 [size =\"12985344\"]\n  17 [size=\"49393664\", alpha=\"0.01\", expect_size=\"24696832\"] \n  17 -> 20 [size =\"24696832\"]\n  17 -> 21 [size =\"24696832\"]\n  17 -> 22 [size =\"24696832\"]\n  17 -> 23 [size =\"24696832\"]\n  18 [size=\"49100800\", alpha=\"0.07\", expect_size=\"24550400\"] \n  18 -> 20 [size =\"24550400\"]\n  18 -> 21 [size =\"24550400\"]\n  18 -> 22 [size =\"24550400\"]\n  18 -> 24 [size =\"24550400\"]\n  19 [size=\"70608896\", alpha=\"0.10\", expect_size=\"35304448\"] \n  19 -> 20 [size =\"35304448\"]\n  19 -> 22 [size =\"35304448\"]\n  19 -> 22 [size =\"35304448\"]\n  19 -> 23 [size =\"35304448\"]\n  19 -> 24 [size =\"35304448\"]\n  19 -> 25 [size =\"35304448\"]\n  20 [size=\"67909632\", alpha=\"0.12\", expect_size=\"33954816\"] \n  20 -> 26 [size =\"33954816\"]\n  20 -> 29 [size =\"33954816\"]\n  21 [size=\"35252224\", alpha=\"0.03\", expect_size=\"17626112\"] \n  21 -> 27 [size =\"17626112\"]\n  21 -> 29 [size =\"17626112\"]\n  22 [size=\"87539712\", alpha=\"0.10\", expect_size=\"43769856\"] \n  22 -> 28 [size =\"43769856\"]\n  22 -> 29 [size =\"43769856\"]\n  22 -> 30 [size =\"43769856\"]\n  23 [size=\"36888576\", alpha=\"0.07\", expect_size=\"18444288\"] \n  23 -> 26 [size =\"18444288\"]\n  23 -> 28 [size =\"18444288\"]\n  23 -> 30 [size =\"18444288\"]\n  24 [size=\"93536256\", alpha=\"0.09\", expect_size=\"46768128\"] \n  24 -> 29 [size =\"46768128\"]\n  25 [size=\"35678208\", alpha=\"0.02\", expect_size=\"17839104\"] \n  25 -> 29 [size =\"17839104\"]\n  26 [size=\"68859904\", alpha=\"0.05\", expect_size=\"34429952\"] \n  26 -> 31 [size =\"34429952\"]\n  26 -> 32 [size =\"34429952\"]\n  26 -> 34 [size =\"34429952\"]\n  26 -> 35 [size =\"34429952\"]\n  27 [size=\"87832576\", alpha=\"0.18\", expect_size=\"43916288\"] \n  27 -> 31 [size =\"43916288\"]\n  27 -> 32 [size =\"43916288\"]\n  27 -> 35 [size =\"43916288\"]\n  27 -> 35 [size =\"43916288\"]\n  28 [size=\"93859840\", alpha=\"0.08\", expect_size=\"46929920\"] \n  28 -> 31 [size =\"46929920\"]\n  28 -> 33 [size =\"46929920\"]\n  28 -> 34 [size =\"46929920\"]\n  29 [size=\"30840832\", alpha=\"0.18\", expect_size=\"15420416\"] \n  29 -> 31 [size =\"15420416\"]\n  29 -> 32 [size =\"15420416\"]\n  29 -> 33 [size =\"15420416\"]\n  29 -> 34 [size =\"15420416\"]\n  29 -> 35 [size =\"15420416\"]\n  30 [size=\"78002176\", alpha=\"0.14\", expect_size=\"39001088\"] \n  30 -> 31 [size =\"39001088\"]\n  30 -> 32 [size =\"39001088\"]\n  30 -> 35 [size =\"39001088\"]\n  31 [size=\"38178816\", alpha=\"0.05\", expect_size=\"19089408\"] \n  32 [size=\"52117504\", alpha=\"0.18\", expect_size=\"26058752\"] \n  33 [size=\"99686400\", alpha=\"0.12\", expect_size=\"49843200\"] \n  34 [size=\"37103616\", alpha=\"0.16\", expect_size=\"18551808\"] \n  35 [size=\"81051648\", alpha=\"0.10\", expect_size=\"40525824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19029333\", alpha=\"0.16\", expect_size=\"5708800\"] \n  1 -> 6 [size =\"5708800\"]\n  1 -> 7 [size =\"5708800\"]\n  2 [size=\"53896533\", alpha=\"0.12\", expect_size=\"16168960\"] \n  3 [size=\"114756267\", alpha=\"0.13\", expect_size=\"34426880\"] \n  3 -> 8 [size =\"34426880\"]\n  4 [size=\"145380693\", alpha=\"0.06\", expect_size=\"43614208\"] \n  4 -> 9 [size =\"43614208\"]\n  5 [size=\"34334720\", alpha=\"0.09\", expect_size=\"10300416\"] \n  5 -> 6 [size =\"10300416\"]\n  5 -> 7 [size =\"10300416\"]\n  5 -> 8 [size =\"10300416\"]\n  6 [size=\"31505067\", alpha=\"0.18\", expect_size=\"9451520\"] \n  6 -> 13 [size =\"9451520\"]\n  6 -> 14 [size =\"9451520\"]\n  7 [size=\"61463893\", alpha=\"0.01\", expect_size=\"18439168\"] \n  7 -> 11 [size =\"18439168\"]\n  7 -> 12 [size =\"18439168\"]\n  7 -> 13 [size =\"18439168\"]\n  8 [size=\"79319040\", alpha=\"0.19\", expect_size=\"23795712\"] \n  8 -> 10 [size =\"23795712\"]\n  8 -> 11 [size =\"23795712\"]\n  8 -> 14 [size =\"23795712\"]\n  9 [size=\"114742613\", alpha=\"0.16\", expect_size=\"34422784\"] \n  9 -> 10 [size =\"34422784\"]\n  9 -> 11 [size =\"34422784\"]\n  10 [size=\"79970987\", alpha=\"0.11\", expect_size=\"23991296\"] \n  10 -> 15 [size =\"23991296\"]\n  11 [size=\"92811947\", alpha=\"0.00\", expect_size=\"27843584\"] \n  11 -> 17 [size =\"27843584\"]\n  12 [size=\"62317227\", alpha=\"0.05\", expect_size=\"18695168\"] \n  12 -> 18 [size =\"18695168\"]\n  13 [size=\"153661440\", alpha=\"0.04\", expect_size=\"46098432\"] \n  13 -> 16 [size =\"46098432\"]\n  13 -> 17 [size =\"46098432\"]\n  13 -> 19 [size =\"46098432\"]\n  14 [size=\"100249600\", alpha=\"0.01\", expect_size=\"30074880\"] \n  15 [size=\"150261760\", alpha=\"0.17\", expect_size=\"45078528\"] \n  15 -> 20 [size =\"45078528\"]\n  15 -> 21 [size =\"45078528\"]\n  15 -> 24 [size =\"45078528\"]\n  16 [size=\"66194773\", alpha=\"0.11\", expect_size=\"19858432\"] \n  16 -> 20 [size =\"19858432\"]\n  17 [size=\"53254827\", alpha=\"0.18\", expect_size=\"15976448\"] \n  17 -> 20 [size =\"15976448\"]\n  17 -> 22 [size =\"15976448\"]\n  18 [size=\"57937920\", alpha=\"0.18\", expect_size=\"17381376\"] \n  19 [size=\"49349973\", alpha=\"0.14\", expect_size=\"14804992\"] \n  19 -> 21 [size =\"14804992\"]\n  19 -> 22 [size =\"14804992\"]\n  19 -> 23 [size =\"14804992\"]\n  20 [size=\"20486827\", alpha=\"0.12\", expect_size=\"6146048\"] \n  20 -> 26 [size =\"6146048\"]\n  21 [size=\"110861653\", alpha=\"0.11\", expect_size=\"33258496\"] \n  21 -> 27 [size =\"33258496\"]\n  21 -> 28 [size =\"33258496\"]\n  22 [size=\"111506773\", alpha=\"0.15\", expect_size=\"33452032\"] \n  23 [size=\"151060480\", alpha=\"0.10\", expect_size=\"45318144\"] \n  23 -> 25 [size =\"45318144\"]\n  23 -> 28 [size =\"45318144\"]\n  24 [size=\"27122347\", alpha=\"0.03\", expect_size=\"8136704\"] \n  24 -> 25 [size =\"8136704\"]\n  24 -> 26 [size =\"8136704\"]\n  25 [size=\"31825920\", alpha=\"0.17\", expect_size=\"9547776\"] \n  25 -> 31 [size =\"9547776\"]\n  26 [size=\"161587200\", alpha=\"0.13\", expect_size=\"48476160\"] \n  26 -> 30 [size =\"48476160\"]\n  26 -> 31 [size =\"48476160\"]\n  27 [size=\"88125440\", alpha=\"0.14\", expect_size=\"26437632\"] \n  27 -> 29 [size =\"26437632\"]\n  27 -> 31 [size =\"26437632\"]\n  27 -> 32 [size =\"26437632\"]\n  27 -> 33 [size =\"26437632\"]\n  28 [size=\"75707733\", alpha=\"0.04\", expect_size=\"22712320\"] \n  28 -> 32 [size =\"22712320\"]\n  29 [size=\"56934400\", alpha=\"0.06\", expect_size=\"17080320\"] \n  30 [size=\"165191680\", alpha=\"0.15\", expect_size=\"49557504\"] \n  31 [size=\"105280853\", alpha=\"0.15\", expect_size=\"31584256\"] \n  31 -> 34 [size =\"31584256\"]\n  31 -> 35 [size =\"31584256\"]\n  32 [size=\"36048213\", alpha=\"0.20\", expect_size=\"10814464\"] \n  32 -> 34 [size =\"10814464\"]\n  33 [size=\"151197013\", alpha=\"0.02\", expect_size=\"45359104\"] \n  34 [size=\"76151467\", alpha=\"0.15\", expect_size=\"22845440\"] \n  35 [size=\"96102400\", alpha=\"0.05\", expect_size=\"28830720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66304000\", alpha=\"0.03\", expect_size=\"26521600\"] \n  1 -> 28 [size =\"26521600\"]\n  1 -> 30 [size =\"26521600\"]\n  1 -> 33 [size =\"26521600\"]\n  1 -> 35 [size =\"26521600\"]\n  2 [size=\"79416320\", alpha=\"0.13\", expect_size=\"31766528\"] \n  2 -> 26 [size =\"31766528\"]\n  2 -> 35 [size =\"31766528\"]\n  3 [size=\"26987520\", alpha=\"0.06\", expect_size=\"10795008\"] \n  3 -> 26 [size =\"10795008\"]\n  3 -> 32 [size =\"10795008\"]\n  3 -> 35 [size =\"10795008\"]\n  4 [size=\"19192320\", alpha=\"0.04\", expect_size=\"7676928\"] \n  4 -> 35 [size =\"7676928\"]\n  5 [size=\"24570880\", alpha=\"0.00\", expect_size=\"9828352\"] \n  5 -> 32 [size =\"9828352\"]\n  5 -> 33 [size =\"9828352\"]\n  5 -> 35 [size =\"9828352\"]\n  6 [size=\"52774400\", alpha=\"0.03\", expect_size=\"21109760\"] \n  6 -> 27 [size =\"21109760\"]\n  6 -> 28 [size =\"21109760\"]\n  6 -> 32 [size =\"21109760\"]\n  6 -> 35 [size =\"21109760\"]\n  7 [size=\"101015040\", alpha=\"0.17\", expect_size=\"40406016\"] \n  7 -> 27 [size =\"40406016\"]\n  7 -> 28 [size =\"40406016\"]\n  7 -> 30 [size =\"40406016\"]\n  7 -> 32 [size =\"40406016\"]\n  7 -> 35 [size =\"40406016\"]\n  8 [size=\"110210560\", alpha=\"0.07\", expect_size=\"44084224\"] \n  8 -> 28 [size =\"44084224\"]\n  8 -> 31 [size =\"44084224\"]\n  8 -> 32 [size =\"44084224\"]\n  8 -> 35 [size =\"44084224\"]\n  9 [size=\"35386880\", alpha=\"0.14\", expect_size=\"14154752\"] \n  9 -> 26 [size =\"14154752\"]\n  9 -> 30 [size =\"14154752\"]\n  9 -> 34 [size =\"14154752\"]\n  9 -> 35 [size =\"14154752\"]\n  10 [size=\"73026560\", alpha=\"0.06\", expect_size=\"29210624\"] \n  10 -> 27 [size =\"29210624\"]\n  10 -> 28 [size =\"29210624\"]\n  10 -> 32 [size =\"29210624\"]\n  10 -> 35 [size =\"29210624\"]\n  11 [size=\"19714560\", alpha=\"0.17\", expect_size=\"7885824\"] \n  11 -> 27 [size =\"7885824\"]\n  11 -> 30 [size =\"7885824\"]\n  11 -> 32 [size =\"7885824\"]\n  11 -> 33 [size =\"7885824\"]\n  11 -> 34 [size =\"7885824\"]\n  11 -> 35 [size =\"7885824\"]\n  12 [size=\"36559360\", alpha=\"0.06\", expect_size=\"14623744\"] \n  12 -> 27 [size =\"14623744\"]\n  12 -> 28 [size =\"14623744\"]\n  12 -> 30 [size =\"14623744\"]\n  12 -> 31 [size =\"14623744\"]\n  12 -> 32 [size =\"14623744\"]\n  12 -> 34 [size =\"14623744\"]\n  12 -> 35 [size =\"14623744\"]\n  13 [size=\"115176960\", alpha=\"0.18\", expect_size=\"46070784\"] \n  13 -> 27 [size =\"46070784\"]\n  13 -> 28 [size =\"46070784\"]\n  13 -> 32 [size =\"46070784\"]\n  13 -> 33 [size =\"46070784\"]\n  13 -> 35 [size =\"46070784\"]\n  14 [size=\"34782720\", alpha=\"0.09\", expect_size=\"13913088\"] \n  14 -> 27 [size =\"13913088\"]\n  14 -> 30 [size =\"13913088\"]\n  14 -> 32 [size =\"13913088\"]\n  15 [size=\"55569920\", alpha=\"0.06\", expect_size=\"22227968\"] \n  15 -> 32 [size =\"22227968\"]\n  15 -> 35 [size =\"22227968\"]\n  16 [size=\"57177600\", alpha=\"0.10\", expect_size=\"22871040\"] \n  16 -> 27 [size =\"22871040\"]\n  16 -> 29 [size =\"22871040\"]\n  16 -> 31 [size =\"22871040\"]\n  16 -> 35 [size =\"22871040\"]\n  17 [size=\"72448000\", alpha=\"0.18\", expect_size=\"28979200\"] \n  17 -> 26 [size =\"28979200\"]\n  17 -> 31 [size =\"28979200\"]\n  17 -> 32 [size =\"28979200\"]\n  17 -> 35 [size =\"28979200\"]\n  18 [size=\"55493120\", alpha=\"0.01\", expect_size=\"22197248\"] \n  18 -> 27 [size =\"22197248\"]\n  18 -> 32 [size =\"22197248\"]\n  18 -> 34 [size =\"22197248\"]\n  18 -> 35 [size =\"22197248\"]\n  19 [size=\"97761280\", alpha=\"0.06\", expect_size=\"39104512\"] \n  19 -> 27 [size =\"39104512\"]\n  19 -> 31 [size =\"39104512\"]\n  19 -> 32 [size =\"39104512\"]\n  19 -> 35 [size =\"39104512\"]\n  20 [size=\"61555200\", alpha=\"0.20\", expect_size=\"24622080\"] \n  20 -> 27 [size =\"24622080\"]\n  20 -> 28 [size =\"24622080\"]\n  20 -> 29 [size =\"24622080\"]\n  20 -> 30 [size =\"24622080\"]\n  20 -> 34 [size =\"24622080\"]\n  21 [size=\"99427840\", alpha=\"0.02\", expect_size=\"39771136\"] \n  21 -> 27 [size =\"39771136\"]\n  21 -> 28 [size =\"39771136\"]\n  21 -> 35 [size =\"39771136\"]\n  22 [size=\"79040000\", alpha=\"0.16\", expect_size=\"31616000\"] \n  22 -> 27 [size =\"31616000\"]\n  22 -> 32 [size =\"31616000\"]\n  22 -> 35 [size =\"31616000\"]\n  23 [size=\"114590720\", alpha=\"0.12\", expect_size=\"45836288\"] \n  23 -> 27 [size =\"45836288\"]\n  23 -> 30 [size =\"45836288\"]\n  23 -> 32 [size =\"45836288\"]\n  23 -> 33 [size =\"45836288\"]\n  23 -> 34 [size =\"45836288\"]\n  24 [size=\"102005760\", alpha=\"0.09\", expect_size=\"40802304\"] \n  24 -> 27 [size =\"40802304\"]\n  24 -> 29 [size =\"40802304\"]\n  24 -> 30 [size =\"40802304\"]\n  24 -> 35 [size =\"40802304\"]\n  25 [size=\"35402240\", alpha=\"0.08\", expect_size=\"14160896\"] \n  25 -> 27 [size =\"14160896\"]\n  25 -> 30 [size =\"14160896\"]\n  25 -> 35 [size =\"14160896\"]\n  26 [size=\"71516160\", alpha=\"0.14\", expect_size=\"28606464\"] \n  27 [size=\"130524160\", alpha=\"0.15\", expect_size=\"52209664\"] \n  28 [size=\"117806080\", alpha=\"0.12\", expect_size=\"47122432\"] \n  29 [size=\"123256320\", alpha=\"0.13\", expect_size=\"49302528\"] \n  30 [size=\"41912320\", alpha=\"0.04\", expect_size=\"16764928\"] \n  31 [size=\"40168960\", alpha=\"0.16\", expect_size=\"16067584\"] \n  32 [size=\"53255680\", alpha=\"0.13\", expect_size=\"21302272\"] \n  33 [size=\"29524480\", alpha=\"0.06\", expect_size=\"11809792\"] \n  34 [size=\"100817920\", alpha=\"0.03\", expect_size=\"40327168\"] \n  35 [size=\"37291520\", alpha=\"0.08\", expect_size=\"14916608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91863040\", alpha=\"0.16\", expect_size=\"27558912\"] \n  1 -> 2 [size =\"27558912\"]\n  2 [size=\"167195307\", alpha=\"0.14\", expect_size=\"50158592\"] \n  2 -> 3 [size =\"50158592\"]\n  3 [size=\"66874027\", alpha=\"0.19\", expect_size=\"20062208\"] \n  3 -> 4 [size =\"20062208\"]\n  4 [size=\"132904960\", alpha=\"0.11\", expect_size=\"39871488\"] \n  4 -> 5 [size =\"39871488\"]\n  5 [size=\"143510187\", alpha=\"0.12\", expect_size=\"43053056\"] \n  5 -> 6 [size =\"43053056\"]\n  6 [size=\"99805867\", alpha=\"0.20\", expect_size=\"29941760\"] \n  6 -> 7 [size =\"29941760\"]\n  7 [size=\"128320853\", alpha=\"0.16\", expect_size=\"38496256\"] \n  7 -> 8 [size =\"38496256\"]\n  8 [size=\"59354453\", alpha=\"0.01\", expect_size=\"17806336\"] \n  8 -> 9 [size =\"17806336\"]\n  9 [size=\"23050240\", alpha=\"0.04\", expect_size=\"6915072\"] \n  9 -> 10 [size =\"6915072\"]\n  10 [size=\"78124373\", alpha=\"0.03\", expect_size=\"23437312\"] \n  10 -> 11 [size =\"23437312\"]\n  11 [size=\"66880853\", alpha=\"0.07\", expect_size=\"20064256\"] \n  11 -> 12 [size =\"20064256\"]\n  12 [size=\"31621120\", alpha=\"0.15\", expect_size=\"9486336\"] \n  12 -> 13 [size =\"9486336\"]\n  13 [size=\"145619627\", alpha=\"0.05\", expect_size=\"43685888\"] \n  13 -> 14 [size =\"43685888\"]\n  14 [size=\"133826560\", alpha=\"0.09\", expect_size=\"40147968\"] \n  14 -> 15 [size =\"40147968\"]\n  15 [size=\"62078293\", alpha=\"0.10\", expect_size=\"18623488\"] \n  15 -> 16 [size =\"18623488\"]\n  16 [size=\"158883840\", alpha=\"0.05\", expect_size=\"47665152\"] \n  16 -> 17 [size =\"47665152\"]\n  17 [size=\"155822080\", alpha=\"0.15\", expect_size=\"46746624\"] \n  17 -> 18 [size =\"46746624\"]\n  18 [size=\"125678933\", alpha=\"0.16\", expect_size=\"37703680\"] \n  18 -> 19 [size =\"37703680\"]\n  19 [size=\"133167787\", alpha=\"0.16\", expect_size=\"39950336\"] \n  19 -> 20 [size =\"39950336\"]\n  20 [size=\"167724373\", alpha=\"0.04\", expect_size=\"50317312\"] \n  20 -> 21 [size =\"50317312\"]\n  21 [size=\"34775040\", alpha=\"0.01\", expect_size=\"10432512\"] \n  21 -> 22 [size =\"10432512\"]\n  22 [size=\"91064320\", alpha=\"0.18\", expect_size=\"27319296\"] \n  22 -> 23 [size =\"27319296\"]\n  23 [size=\"51319467\", alpha=\"0.01\", expect_size=\"15395840\"] \n  23 -> 24 [size =\"15395840\"]\n  24 [size=\"92132693\", alpha=\"0.19\", expect_size=\"27639808\"] \n  24 -> 25 [size =\"27639808\"]\n  25 [size=\"163444053\", alpha=\"0.13\", expect_size=\"49033216\"] \n  25 -> 26 [size =\"49033216\"]\n  26 [size=\"80906240\", alpha=\"0.17\", expect_size=\"24271872\"] \n  26 -> 27 [size =\"24271872\"]\n  27 [size=\"121234773\", alpha=\"0.15\", expect_size=\"36370432\"] \n  27 -> 28 [size =\"36370432\"]\n  28 [size=\"80954027\", alpha=\"0.19\", expect_size=\"24286208\"] \n  28 -> 29 [size =\"24286208\"]\n  29 [size=\"46742187\", alpha=\"0.03\", expect_size=\"14022656\"] \n  29 -> 30 [size =\"14022656\"]\n  30 [size=\"169400320\", alpha=\"0.15\", expect_size=\"50820096\"] \n  30 -> 31 [size =\"50820096\"]\n  31 [size=\"42144427\", alpha=\"0.13\", expect_size=\"12643328\"] \n  31 -> 32 [size =\"12643328\"]\n  32 [size=\"53934080\", alpha=\"0.13\", expect_size=\"16180224\"] \n  32 -> 33 [size =\"16180224\"]\n  33 [size=\"39918933\", alpha=\"0.10\", expect_size=\"11975680\"] \n  33 -> 34 [size =\"11975680\"]\n  34 [size=\"49500160\", alpha=\"0.01\", expect_size=\"14850048\"] \n  34 -> 35 [size =\"14850048\"]\n  35 [size=\"40823467\", alpha=\"0.18\", expect_size=\"12247040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28423680\", alpha=\"0.18\", expect_size=\"11369472\"] \n  1 -> 2 [size =\"11369472\"]\n  1 -> 3 [size =\"11369472\"]\n  2 [size=\"91092480\", alpha=\"0.05\", expect_size=\"36436992\"] \n  2 -> 4 [size =\"36436992\"]\n  3 [size=\"76825600\", alpha=\"0.08\", expect_size=\"30730240\"] \n  3 -> 4 [size =\"30730240\"]\n  4 [size=\"78784000\", alpha=\"0.02\", expect_size=\"31513600\"] \n  4 -> 5 [size =\"31513600\"]\n  5 [size=\"109857280\", alpha=\"0.18\", expect_size=\"43942912\"] \n  5 -> 6 [size =\"43942912\"]\n  6 [size=\"91653120\", alpha=\"0.15\", expect_size=\"36661248\"] \n  6 -> 7 [size =\"36661248\"]\n  6 -> 8 [size =\"36661248\"]\n  7 [size=\"125824000\", alpha=\"0.01\", expect_size=\"50329600\"] \n  7 -> 9 [size =\"50329600\"]\n  7 -> 10 [size =\"50329600\"]\n  8 [size=\"53716480\", alpha=\"0.13\", expect_size=\"21486592\"] \n  8 -> 9 [size =\"21486592\"]\n  8 -> 10 [size =\"21486592\"]\n  9 [size=\"108853760\", alpha=\"0.13\", expect_size=\"43541504\"] \n  9 -> 11 [size =\"43541504\"]\n  10 [size=\"23810560\", alpha=\"0.16\", expect_size=\"9524224\"] \n  10 -> 11 [size =\"9524224\"]\n  11 [size=\"122608640\", alpha=\"0.09\", expect_size=\"49043456\"] \n  11 -> 12 [size =\"49043456\"]\n  12 [size=\"111144960\", alpha=\"0.08\", expect_size=\"44457984\"] \n  12 -> 13 [size =\"44457984\"]\n  12 -> 14 [size =\"44457984\"]\n  13 [size=\"22960640\", alpha=\"0.08\", expect_size=\"9184256\"] \n  13 -> 15 [size =\"9184256\"]\n  13 -> 16 [size =\"9184256\"]\n  14 [size=\"70689280\", alpha=\"0.18\", expect_size=\"28275712\"] \n  14 -> 15 [size =\"28275712\"]\n  15 [size=\"83404800\", alpha=\"0.13\", expect_size=\"33361920\"] \n  15 -> 17 [size =\"33361920\"]\n  15 -> 18 [size =\"33361920\"]\n  16 [size=\"68948480\", alpha=\"0.05\", expect_size=\"27579392\"] \n  16 -> 18 [size =\"27579392\"]\n  17 [size=\"37350400\", alpha=\"0.10\", expect_size=\"14940160\"] \n  17 -> 19 [size =\"14940160\"]\n  18 [size=\"41372160\", alpha=\"0.02\", expect_size=\"16548864\"] \n  18 -> 19 [size =\"16548864\"]\n  18 -> 20 [size =\"16548864\"]\n  19 [size=\"115566080\", alpha=\"0.02\", expect_size=\"46226432\"] \n  19 -> 21 [size =\"46226432\"]\n  20 [size=\"73871360\", alpha=\"0.04\", expect_size=\"29548544\"] \n  20 -> 21 [size =\"29548544\"]\n  21 [size=\"47953920\", alpha=\"0.08\", expect_size=\"19181568\"] \n  21 -> 22 [size =\"19181568\"]\n  21 -> 23 [size =\"19181568\"]\n  22 [size=\"102220800\", alpha=\"0.05\", expect_size=\"40888320\"] \n  23 [size=\"30960640\", alpha=\"0.14\", expect_size=\"12384256\"] \n  23 -> 24 [size =\"12384256\"]\n  24 [size=\"77386240\", alpha=\"0.13\", expect_size=\"30954496\"] \n  24 -> 25 [size =\"30954496\"]\n  25 [size=\"65756160\", alpha=\"0.09\", expect_size=\"26302464\"] \n  25 -> 26 [size =\"26302464\"]\n  26 [size=\"23943680\", alpha=\"0.18\", expect_size=\"9577472\"] \n  26 -> 27 [size =\"9577472\"]\n  26 -> 28 [size =\"9577472\"]\n  27 [size=\"56289280\", alpha=\"0.07\", expect_size=\"22515712\"] \n  28 [size=\"114562560\", alpha=\"0.02\", expect_size=\"45825024\"] \n  28 -> 29 [size =\"45825024\"]\n  29 [size=\"125347840\", alpha=\"0.13\", expect_size=\"50139136\"] \n  29 -> 30 [size =\"50139136\"]\n  30 [size=\"18467840\", alpha=\"0.07\", expect_size=\"7387136\"] \n  30 -> 31 [size =\"7387136\"]\n  31 [size=\"39695360\", alpha=\"0.18\", expect_size=\"15878144\"] \n  31 -> 32 [size =\"15878144\"]\n  32 [size=\"86387200\", alpha=\"0.07\", expect_size=\"34554880\"] \n  32 -> 33 [size =\"34554880\"]\n  33 [size=\"118561280\", alpha=\"0.17\", expect_size=\"47424512\"] \n  33 -> 34 [size =\"47424512\"]\n  34 [size=\"81973760\", alpha=\"0.17\", expect_size=\"32789504\"] \n  34 -> 35 [size =\"32789504\"]\n  35 [size=\"42301440\", alpha=\"0.09\", expect_size=\"16920576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93505536\", alpha=\"0.18\", expect_size=\"46752768\"] \n  1 -> 12 [size =\"46752768\"]\n  1 -> 13 [size =\"46752768\"]\n  1 -> 16 [size =\"46752768\"]\n  1 -> 16 [size =\"46752768\"]\n  1 -> 17 [size =\"46752768\"]\n  1 -> 20 [size =\"46752768\"]\n  2 [size=\"43284480\", alpha=\"0.09\", expect_size=\"21642240\"] \n  2 -> 12 [size =\"21642240\"]\n  2 -> 13 [size =\"21642240\"]\n  2 -> 14 [size =\"21642240\"]\n  2 -> 16 [size =\"21642240\"]\n  2 -> 17 [size =\"21642240\"]\n  3 [size=\"91418624\", alpha=\"0.13\", expect_size=\"45709312\"] \n  3 -> 14 [size =\"45709312\"]\n  3 -> 17 [size =\"45709312\"]\n  3 -> 21 [size =\"45709312\"]\n  4 [size=\"46796800\", alpha=\"0.14\", expect_size=\"23398400\"] \n  4 -> 14 [size =\"23398400\"]\n  5 [size=\"80492544\", alpha=\"0.19\", expect_size=\"40246272\"] \n  5 -> 17 [size =\"40246272\"]\n  5 -> 20 [size =\"40246272\"]\n  5 -> 21 [size =\"40246272\"]\n  5 -> 22 [size =\"40246272\"]\n  6 [size=\"83988480\", alpha=\"0.12\", expect_size=\"41994240\"] \n  6 -> 16 [size =\"41994240\"]\n  6 -> 19 [size =\"41994240\"]\n  6 -> 21 [size =\"41994240\"]\n  6 -> 22 [size =\"41994240\"]\n  7 [size=\"26519552\", alpha=\"0.01\", expect_size=\"13259776\"] \n  7 -> 17 [size =\"13259776\"]\n  7 -> 18 [size =\"13259776\"]\n  7 -> 21 [size =\"13259776\"]\n  8 [size=\"36739072\", alpha=\"0.11\", expect_size=\"18369536\"] \n  8 -> 17 [size =\"18369536\"]\n  8 -> 20 [size =\"18369536\"]\n  9 [size=\"16719872\", alpha=\"0.13\", expect_size=\"8359936\"] \n  9 -> 14 [size =\"8359936\"]\n  9 -> 16 [size =\"8359936\"]\n  9 -> 17 [size =\"8359936\"]\n  9 -> 18 [size =\"8359936\"]\n  9 -> 19 [size =\"8359936\"]\n  9 -> 20 [size =\"8359936\"]\n  9 -> 21 [size =\"8359936\"]\n  9 -> 22 [size =\"8359936\"]\n  10 [size=\"22528000\", alpha=\"0.06\", expect_size=\"11264000\"] \n  10 -> 11 [size =\"11264000\"]\n  10 -> 12 [size =\"11264000\"]\n  10 -> 15 [size =\"11264000\"]\n  10 -> 16 [size =\"11264000\"]\n  10 -> 21 [size =\"11264000\"]\n  10 -> 22 [size =\"11264000\"]\n  11 [size=\"49563648\", alpha=\"0.15\", expect_size=\"24781824\"] \n  11 -> 23 [size =\"24781824\"]\n  11 -> 25 [size =\"24781824\"]\n  11 -> 26 [size =\"24781824\"]\n  11 -> 29 [size =\"24781824\"]\n  11 -> 31 [size =\"24781824\"]\n  12 [size=\"41828352\", alpha=\"0.12\", expect_size=\"20914176\"] \n  12 -> 24 [size =\"20914176\"]\n  12 -> 25 [size =\"20914176\"]\n  12 -> 26 [size =\"20914176\"]\n  12 -> 29 [size =\"20914176\"]\n  12 -> 30 [size =\"20914176\"]\n  12 -> 32 [size =\"20914176\"]\n  12 -> 34 [size =\"20914176\"]\n  13 [size=\"82429952\", alpha=\"0.16\", expect_size=\"41214976\"] \n  13 -> 23 [size =\"41214976\"]\n  13 -> 28 [size =\"41214976\"]\n  13 -> 29 [size =\"41214976\"]\n  13 -> 31 [size =\"41214976\"]\n  13 -> 32 [size =\"41214976\"]\n  13 -> 33 [size =\"41214976\"]\n  14 [size=\"49086464\", alpha=\"0.17\", expect_size=\"24543232\"] \n  14 -> 23 [size =\"24543232\"]\n  14 -> 28 [size =\"24543232\"]\n  14 -> 32 [size =\"24543232\"]\n  15 [size=\"21563392\", alpha=\"0.15\", expect_size=\"10781696\"] \n  15 -> 23 [size =\"10781696\"]\n  15 -> 24 [size =\"10781696\"]\n  15 -> 28 [size =\"10781696\"]\n  15 -> 32 [size =\"10781696\"]\n  15 -> 33 [size =\"10781696\"]\n  16 [size=\"18339840\", alpha=\"0.05\", expect_size=\"9169920\"] \n  16 -> 24 [size =\"9169920\"]\n  16 -> 27 [size =\"9169920\"]\n  16 -> 28 [size =\"9169920\"]\n  16 -> 30 [size =\"9169920\"]\n  16 -> 31 [size =\"9169920\"]\n  16 -> 32 [size =\"9169920\"]\n  16 -> 33 [size =\"9169920\"]\n  17 [size=\"75671552\", alpha=\"0.12\", expect_size=\"37835776\"] \n  17 -> 23 [size =\"37835776\"]\n  17 -> 26 [size =\"37835776\"]\n  17 -> 28 [size =\"37835776\"]\n  17 -> 29 [size =\"37835776\"]\n  17 -> 32 [size =\"37835776\"]\n  17 -> 33 [size =\"37835776\"]\n  18 [size=\"82337792\", alpha=\"0.12\", expect_size=\"41168896\"] \n  18 -> 25 [size =\"41168896\"]\n  18 -> 26 [size =\"41168896\"]\n  18 -> 29 [size =\"41168896\"]\n  18 -> 31 [size =\"41168896\"]\n  18 -> 32 [size =\"41168896\"]\n  18 -> 33 [size =\"41168896\"]\n  19 [size=\"39309312\", alpha=\"0.07\", expect_size=\"19654656\"] \n  19 -> 26 [size =\"19654656\"]\n  19 -> 28 [size =\"19654656\"]\n  19 -> 29 [size =\"19654656\"]\n  20 [size=\"99338240\", alpha=\"0.17\", expect_size=\"49669120\"] \n  20 -> 23 [size =\"49669120\"]\n  20 -> 25 [size =\"49669120\"]\n  20 -> 28 [size =\"49669120\"]\n  20 -> 29 [size =\"49669120\"]\n  20 -> 31 [size =\"49669120\"]\n  21 [size=\"32983040\", alpha=\"0.04\", expect_size=\"16491520\"] \n  21 -> 23 [size =\"16491520\"]\n  21 -> 24 [size =\"16491520\"]\n  21 -> 25 [size =\"16491520\"]\n  21 -> 27 [size =\"16491520\"]\n  21 -> 28 [size =\"16491520\"]\n  21 -> 29 [size =\"16491520\"]\n  21 -> 31 [size =\"16491520\"]\n  21 -> 32 [size =\"16491520\"]\n  22 [size=\"102959104\", alpha=\"0.17\", expect_size=\"51479552\"] \n  22 -> 23 [size =\"51479552\"]\n  22 -> 24 [size =\"51479552\"]\n  22 -> 25 [size =\"51479552\"]\n  22 -> 27 [size =\"51479552\"]\n  22 -> 28 [size =\"51479552\"]\n  22 -> 29 [size =\"51479552\"]\n  22 -> 31 [size =\"51479552\"]\n  22 -> 32 [size =\"51479552\"]\n  23 [size=\"63350784\", alpha=\"0.08\", expect_size=\"31675392\"] \n  24 [size=\"42463232\", alpha=\"0.07\", expect_size=\"21231616\"] \n  25 [size=\"27506688\", alpha=\"0.01\", expect_size=\"13753344\"] \n  25 -> 35 [size =\"13753344\"]\n  26 [size=\"96798720\", alpha=\"0.10\", expect_size=\"48399360\"] \n  27 [size=\"27760640\", alpha=\"0.02\", expect_size=\"13880320\"] \n  28 [size=\"82112512\", alpha=\"0.00\", expect_size=\"41056256\"] \n  28 -> 35 [size =\"41056256\"]\n  29 [size=\"44750848\", alpha=\"0.20\", expect_size=\"22375424\"] \n  29 -> 35 [size =\"22375424\"]\n  30 [size=\"79491072\", alpha=\"0.02\", expect_size=\"39745536\"] \n  30 -> 35 [size =\"39745536\"]\n  31 [size=\"63750144\", alpha=\"0.12\", expect_size=\"31875072\"] \n  32 [size=\"80543744\", alpha=\"0.09\", expect_size=\"40271872\"] \n  33 [size=\"68304896\", alpha=\"0.01\", expect_size=\"34152448\"] \n  34 [size=\"13590528\", alpha=\"0.01\", expect_size=\"6795264\"] \n  34 -> 35 [size =\"6795264\"]\n  35 [size=\"47087616\", alpha=\"0.04\", expect_size=\"23543808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83128320\", alpha=\"0.05\", expect_size=\"41564160\"] \n  1 -> 26 [size =\"41564160\"]\n  1 -> 35 [size =\"41564160\"]\n  2 [size=\"94515200\", alpha=\"0.19\", expect_size=\"47257600\"] \n  2 -> 23 [size =\"47257600\"]\n  2 -> 26 [size =\"47257600\"]\n  2 -> 28 [size =\"47257600\"]\n  2 -> 29 [size =\"47257600\"]\n  2 -> 30 [size =\"47257600\"]\n  2 -> 31 [size =\"47257600\"]\n  2 -> 32 [size =\"47257600\"]\n  3 [size=\"53381120\", alpha=\"0.08\", expect_size=\"26690560\"] \n  3 -> 26 [size =\"26690560\"]\n  3 -> 26 [size =\"26690560\"]\n  3 -> 29 [size =\"26690560\"]\n  3 -> 29 [size =\"26690560\"]\n  3 -> 31 [size =\"26690560\"]\n  4 [size=\"60270592\", alpha=\"0.20\", expect_size=\"30135296\"] \n  4 -> 23 [size =\"30135296\"]\n  4 -> 26 [size =\"30135296\"]\n  4 -> 30 [size =\"30135296\"]\n  4 -> 31 [size =\"30135296\"]\n  4 -> 32 [size =\"30135296\"]\n  4 -> 33 [size =\"30135296\"]\n  4 -> 34 [size =\"30135296\"]\n  5 [size=\"15407104\", alpha=\"0.02\", expect_size=\"7703552\"] \n  5 -> 23 [size =\"7703552\"]\n  5 -> 26 [size =\"7703552\"]\n  5 -> 29 [size =\"7703552\"]\n  5 -> 35 [size =\"7703552\"]\n  6 [size=\"50886656\", alpha=\"0.02\", expect_size=\"25443328\"] \n  6 -> 23 [size =\"25443328\"]\n  6 -> 26 [size =\"25443328\"]\n  6 -> 32 [size =\"25443328\"]\n  6 -> 35 [size =\"25443328\"]\n  7 [size=\"75284480\", alpha=\"0.12\", expect_size=\"37642240\"] \n  7 -> 23 [size =\"37642240\"]\n  7 -> 25 [size =\"37642240\"]\n  7 -> 28 [size =\"37642240\"]\n  7 -> 29 [size =\"37642240\"]\n  7 -> 30 [size =\"37642240\"]\n  7 -> 32 [size =\"37642240\"]\n  7 -> 33 [size =\"37642240\"]\n  7 -> 34 [size =\"37642240\"]\n  7 -> 35 [size =\"37642240\"]\n  8 [size=\"63178752\", alpha=\"0.05\", expect_size=\"31589376\"] \n  8 -> 23 [size =\"31589376\"]\n  8 -> 28 [size =\"31589376\"]\n  8 -> 29 [size =\"31589376\"]\n  8 -> 32 [size =\"31589376\"]\n  8 -> 35 [size =\"31589376\"]\n  9 [size=\"100835328\", alpha=\"0.15\", expect_size=\"50417664\"] \n  9 -> 23 [size =\"50417664\"]\n  9 -> 32 [size =\"50417664\"]\n  10 [size=\"48478208\", alpha=\"0.01\", expect_size=\"24239104\"] \n  10 -> 23 [size =\"24239104\"]\n  10 -> 28 [size =\"24239104\"]\n  10 -> 29 [size =\"24239104\"]\n  10 -> 33 [size =\"24239104\"]\n  11 [size=\"51171328\", alpha=\"0.09\", expect_size=\"25585664\"] \n  11 -> 23 [size =\"25585664\"]\n  11 -> 28 [size =\"25585664\"]\n  11 -> 30 [size =\"25585664\"]\n  11 -> 33 [size =\"25585664\"]\n  12 [size=\"74708992\", alpha=\"0.12\", expect_size=\"37354496\"] \n  12 -> 23 [size =\"37354496\"]\n  12 -> 30 [size =\"37354496\"]\n  12 -> 30 [size =\"37354496\"]\n  12 -> 33 [size =\"37354496\"]\n  12 -> 35 [size =\"37354496\"]\n  13 [size=\"69005312\", alpha=\"0.14\", expect_size=\"34502656\"] \n  13 -> 23 [size =\"34502656\"]\n  13 -> 27 [size =\"34502656\"]\n  13 -> 29 [size =\"34502656\"]\n  13 -> 30 [size =\"34502656\"]\n  13 -> 32 [size =\"34502656\"]\n  13 -> 34 [size =\"34502656\"]\n  14 [size=\"104765440\", alpha=\"0.14\", expect_size=\"52382720\"] \n  14 -> 24 [size =\"52382720\"]\n  14 -> 27 [size =\"52382720\"]\n  14 -> 28 [size =\"52382720\"]\n  14 -> 33 [size =\"52382720\"]\n  14 -> 34 [size =\"52382720\"]\n  14 -> 35 [size =\"52382720\"]\n  15 [size=\"103946240\", alpha=\"0.06\", expect_size=\"51973120\"] \n  15 -> 26 [size =\"51973120\"]\n  15 -> 27 [size =\"51973120\"]\n  15 -> 33 [size =\"51973120\"]\n  15 -> 35 [size =\"51973120\"]\n  16 [size=\"19843072\", alpha=\"0.14\", expect_size=\"9921536\"] \n  16 -> 26 [size =\"9921536\"]\n  16 -> 30 [size =\"9921536\"]\n  16 -> 32 [size =\"9921536\"]\n  16 -> 33 [size =\"9921536\"]\n  16 -> 35 [size =\"9921536\"]\n  17 [size=\"29976576\", alpha=\"0.18\", expect_size=\"14988288\"] \n  17 -> 24 [size =\"14988288\"]\n  17 -> 26 [size =\"14988288\"]\n  17 -> 32 [size =\"14988288\"]\n  17 -> 34 [size =\"14988288\"]\n  18 [size=\"84873216\", alpha=\"0.19\", expect_size=\"42436608\"] \n  18 -> 23 [size =\"42436608\"]\n  18 -> 26 [size =\"42436608\"]\n  18 -> 29 [size =\"42436608\"]\n  18 -> 30 [size =\"42436608\"]\n  18 -> 32 [size =\"42436608\"]\n  18 -> 35 [size =\"42436608\"]\n  19 [size=\"13596672\", alpha=\"0.08\", expect_size=\"6798336\"] \n  19 -> 23 [size =\"6798336\"]\n  19 -> 25 [size =\"6798336\"]\n  19 -> 26 [size =\"6798336\"]\n  19 -> 30 [size =\"6798336\"]\n  19 -> 32 [size =\"6798336\"]\n  19 -> 33 [size =\"6798336\"]\n  19 -> 34 [size =\"6798336\"]\n  19 -> 35 [size =\"6798336\"]\n  20 [size=\"85432320\", alpha=\"0.06\", expect_size=\"42716160\"] \n  20 -> 28 [size =\"42716160\"]\n  20 -> 29 [size =\"42716160\"]\n  20 -> 30 [size =\"42716160\"]\n  20 -> 33 [size =\"42716160\"]\n  20 -> 34 [size =\"42716160\"]\n  20 -> 35 [size =\"42716160\"]\n  21 [size=\"89415680\", alpha=\"0.19\", expect_size=\"44707840\"] \n  21 -> 23 [size =\"44707840\"]\n  21 -> 28 [size =\"44707840\"]\n  21 -> 33 [size =\"44707840\"]\n  21 -> 33 [size =\"44707840\"]\n  21 -> 35 [size =\"44707840\"]\n  22 [size=\"39616512\", alpha=\"0.10\", expect_size=\"19808256\"] \n  22 -> 23 [size =\"19808256\"]\n  22 -> 27 [size =\"19808256\"]\n  22 -> 33 [size =\"19808256\"]\n  23 [size=\"97810432\", alpha=\"0.10\", expect_size=\"48905216\"] \n  24 [size=\"71528448\", alpha=\"0.01\", expect_size=\"35764224\"] \n  25 [size=\"41074688\", alpha=\"0.12\", expect_size=\"20537344\"] \n  26 [size=\"70606848\", alpha=\"0.12\", expect_size=\"35303424\"] \n  27 [size=\"39938048\", alpha=\"0.06\", expect_size=\"19969024\"] \n  28 [size=\"30777344\", alpha=\"0.12\", expect_size=\"15388672\"] \n  29 [size=\"25792512\", alpha=\"0.16\", expect_size=\"12896256\"] \n  30 [size=\"63492096\", alpha=\"0.08\", expect_size=\"31746048\"] \n  31 [size=\"90677248\", alpha=\"0.09\", expect_size=\"45338624\"] \n  32 [size=\"85620736\", alpha=\"0.04\", expect_size=\"42810368\"] \n  33 [size=\"37984256\", alpha=\"0.11\", expect_size=\"18992128\"] \n  34 [size=\"85032960\", alpha=\"0.18\", expect_size=\"42516480\"] \n  35 [size=\"87812096\", alpha=\"0.04\", expect_size=\"43906048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94030507\", alpha=\"0.07\", expect_size=\"28209152\"] \n  1 -> 2 [size =\"28209152\"]\n  2 [size=\"68253013\", alpha=\"0.00\", expect_size=\"20475904\"] \n  2 -> 3 [size =\"20475904\"]\n  3 [size=\"111179093\", alpha=\"0.07\", expect_size=\"33353728\"] \n  3 -> 4 [size =\"33353728\"]\n  3 -> 5 [size =\"33353728\"]\n  4 [size=\"169328640\", alpha=\"0.20\", expect_size=\"50798592\"] \n  4 -> 6 [size =\"50798592\"]\n  5 [size=\"141926400\", alpha=\"0.10\", expect_size=\"42577920\"] \n  5 -> 6 [size =\"42577920\"]\n  5 -> 7 [size =\"42577920\"]\n  6 [size=\"72430933\", alpha=\"0.18\", expect_size=\"21729280\"] \n  6 -> 8 [size =\"21729280\"]\n  6 -> 9 [size =\"21729280\"]\n  7 [size=\"47701333\", alpha=\"0.10\", expect_size=\"14310400\"] \n  7 -> 8 [size =\"14310400\"]\n  7 -> 9 [size =\"14310400\"]\n  8 [size=\"51701760\", alpha=\"0.19\", expect_size=\"15510528\"] \n  8 -> 10 [size =\"15510528\"]\n  9 [size=\"121719467\", alpha=\"0.18\", expect_size=\"36515840\"] \n  9 -> 10 [size =\"36515840\"]\n  10 [size=\"93119147\", alpha=\"0.07\", expect_size=\"27935744\"] \n  10 -> 11 [size =\"27935744\"]\n  10 -> 12 [size =\"27935744\"]\n  11 [size=\"138014720\", alpha=\"0.01\", expect_size=\"41404416\"] \n  11 -> 13 [size =\"41404416\"]\n  11 -> 14 [size =\"41404416\"]\n  12 [size=\"37280427\", alpha=\"0.10\", expect_size=\"11184128\"] \n  12 -> 13 [size =\"11184128\"]\n  12 -> 14 [size =\"11184128\"]\n  13 [size=\"38915413\", alpha=\"0.08\", expect_size=\"11674624\"] \n  13 -> 16 [size =\"11674624\"]\n  14 [size=\"95894187\", alpha=\"0.18\", expect_size=\"28768256\"] \n  14 -> 15 [size =\"28768256\"]\n  14 -> 16 [size =\"28768256\"]\n  15 [size=\"92200960\", alpha=\"0.15\", expect_size=\"27660288\"] \n  15 -> 17 [size =\"27660288\"]\n  16 [size=\"171223040\", alpha=\"0.08\", expect_size=\"51366912\"] \n  16 -> 17 [size =\"51366912\"]\n  17 [size=\"154866347\", alpha=\"0.15\", expect_size=\"46459904\"] \n  17 -> 18 [size =\"46459904\"]\n  17 -> 19 [size =\"46459904\"]\n  18 [size=\"74004480\", alpha=\"0.04\", expect_size=\"22201344\"] \n  18 -> 20 [size =\"22201344\"]\n  18 -> 21 [size =\"22201344\"]\n  19 [size=\"66467840\", alpha=\"0.17\", expect_size=\"19940352\"] \n  19 -> 20 [size =\"19940352\"]\n  19 -> 21 [size =\"19940352\"]\n  20 [size=\"47001600\", alpha=\"0.17\", expect_size=\"14100480\"] \n  20 -> 22 [size =\"14100480\"]\n  20 -> 23 [size =\"14100480\"]\n  21 [size=\"102884693\", alpha=\"0.06\", expect_size=\"30865408\"] \n  21 -> 22 [size =\"30865408\"]\n  22 [size=\"110530560\", alpha=\"0.02\", expect_size=\"33159168\"] \n  22 -> 24 [size =\"33159168\"]\n  23 [size=\"29156693\", alpha=\"0.10\", expect_size=\"8747008\"] \n  23 -> 24 [size =\"8747008\"]\n  24 [size=\"93887147\", alpha=\"0.17\", expect_size=\"28166144\"] \n  24 -> 25 [size =\"28166144\"]\n  25 [size=\"79281493\", alpha=\"0.20\", expect_size=\"23784448\"] \n  25 -> 26 [size =\"23784448\"]\n  26 [size=\"42243413\", alpha=\"0.10\", expect_size=\"12673024\"] \n  26 -> 27 [size =\"12673024\"]\n  27 [size=\"103635627\", alpha=\"0.03\", expect_size=\"31090688\"] \n  27 -> 28 [size =\"31090688\"]\n  28 [size=\"67037867\", alpha=\"0.01\", expect_size=\"20111360\"] \n  28 -> 29 [size =\"20111360\"]\n  28 -> 30 [size =\"20111360\"]\n  29 [size=\"96955733\", alpha=\"0.13\", expect_size=\"29086720\"] \n  29 -> 31 [size =\"29086720\"]\n  29 -> 32 [size =\"29086720\"]\n  30 [size=\"73454933\", alpha=\"0.14\", expect_size=\"22036480\"] \n  30 -> 31 [size =\"22036480\"]\n  31 [size=\"47298560\", alpha=\"0.10\", expect_size=\"14189568\"] \n  32 [size=\"95044267\", alpha=\"0.09\", expect_size=\"28513280\"] \n  32 -> 33 [size =\"28513280\"]\n  33 [size=\"110182400\", alpha=\"0.10\", expect_size=\"33054720\"] \n  33 -> 34 [size =\"33054720\"]\n  34 [size=\"29139627\", alpha=\"0.02\", expect_size=\"8741888\"] \n  34 -> 35 [size =\"8741888\"]\n  35 [size=\"161047893\", alpha=\"0.03\", expect_size=\"48314368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30560256\", alpha=\"0.05\", expect_size=\"15280128\"] \n  1 -> 14 [size =\"15280128\"]\n  1 -> 15 [size =\"15280128\"]\n  1 -> 16 [size =\"15280128\"]\n  1 -> 17 [size =\"15280128\"]\n  1 -> 20 [size =\"15280128\"]\n  2 [size=\"66230272\", alpha=\"0.14\", expect_size=\"33115136\"] \n  2 -> 16 [size =\"33115136\"]\n  2 -> 17 [size =\"33115136\"]\n  3 [size=\"52568064\", alpha=\"0.14\", expect_size=\"26284032\"] \n  3 -> 14 [size =\"26284032\"]\n  3 -> 15 [size =\"26284032\"]\n  3 -> 18 [size =\"26284032\"]\n  4 [size=\"63664128\", alpha=\"0.00\", expect_size=\"31832064\"] \n  4 -> 15 [size =\"31832064\"]\n  4 -> 19 [size =\"31832064\"]\n  4 -> 22 [size =\"31832064\"]\n  5 [size=\"55468032\", alpha=\"0.10\", expect_size=\"27734016\"] \n  5 -> 15 [size =\"27734016\"]\n  5 -> 16 [size =\"27734016\"]\n  5 -> 21 [size =\"27734016\"]\n  6 [size=\"23468032\", alpha=\"0.10\", expect_size=\"11734016\"] \n  7 [size=\"99901440\", alpha=\"0.01\", expect_size=\"49950720\"] \n  7 -> 14 [size =\"49950720\"]\n  7 -> 15 [size =\"49950720\"]\n  7 -> 20 [size =\"49950720\"]\n  8 [size=\"101578752\", alpha=\"0.06\", expect_size=\"50789376\"] \n  8 -> 14 [size =\"50789376\"]\n  8 -> 15 [size =\"50789376\"]\n  8 -> 16 [size =\"50789376\"]\n  8 -> 17 [size =\"50789376\"]\n  8 -> 19 [size =\"50789376\"]\n  8 -> 20 [size =\"50789376\"]\n  9 [size=\"32831488\", alpha=\"0.13\", expect_size=\"16415744\"] \n  9 -> 14 [size =\"16415744\"]\n  9 -> 15 [size =\"16415744\"]\n  9 -> 17 [size =\"16415744\"]\n  10 [size=\"91170816\", alpha=\"0.17\", expect_size=\"45585408\"] \n  10 -> 15 [size =\"45585408\"]\n  10 -> 17 [size =\"45585408\"]\n  11 [size=\"89282560\", alpha=\"0.07\", expect_size=\"44641280\"] \n  11 -> 14 [size =\"44641280\"]\n  11 -> 16 [size =\"44641280\"]\n  11 -> 21 [size =\"44641280\"]\n  11 -> 22 [size =\"44641280\"]\n  12 [size=\"20709376\", alpha=\"0.19\", expect_size=\"10354688\"] \n  12 -> 14 [size =\"10354688\"]\n  12 -> 15 [size =\"10354688\"]\n  12 -> 17 [size =\"10354688\"]\n  13 [size=\"84529152\", alpha=\"0.08\", expect_size=\"42264576\"] \n  13 -> 14 [size =\"42264576\"]\n  13 -> 16 [size =\"42264576\"]\n  13 -> 17 [size =\"42264576\"]\n  13 -> 18 [size =\"42264576\"]\n  13 -> 19 [size =\"42264576\"]\n  14 [size=\"53866496\", alpha=\"0.12\", expect_size=\"26933248\"] \n  14 -> 24 [size =\"26933248\"]\n  14 -> 28 [size =\"26933248\"]\n  14 -> 30 [size =\"26933248\"]\n  14 -> 31 [size =\"26933248\"]\n  14 -> 33 [size =\"26933248\"]\n  14 -> 34 [size =\"26933248\"]\n  15 [size=\"55644160\", alpha=\"0.09\", expect_size=\"27822080\"] \n  15 -> 23 [size =\"27822080\"]\n  15 -> 24 [size =\"27822080\"]\n  15 -> 27 [size =\"27822080\"]\n  15 -> 28 [size =\"27822080\"]\n  15 -> 29 [size =\"27822080\"]\n  15 -> 32 [size =\"27822080\"]\n  15 -> 33 [size =\"27822080\"]\n  15 -> 34 [size =\"27822080\"]\n  16 [size=\"101498880\", alpha=\"0.04\", expect_size=\"50749440\"] \n  16 -> 24 [size =\"50749440\"]\n  16 -> 24 [size =\"50749440\"]\n  16 -> 29 [size =\"50749440\"]\n  16 -> 32 [size =\"50749440\"]\n  16 -> 33 [size =\"50749440\"]\n  16 -> 34 [size =\"50749440\"]\n  17 [size=\"52189184\", alpha=\"0.12\", expect_size=\"26094592\"] \n  17 -> 28 [size =\"26094592\"]\n  17 -> 29 [size =\"26094592\"]\n  17 -> 29 [size =\"26094592\"]\n  17 -> 30 [size =\"26094592\"]\n  17 -> 32 [size =\"26094592\"]\n  17 -> 33 [size =\"26094592\"]\n  17 -> 34 [size =\"26094592\"]\n  18 [size=\"56459264\", alpha=\"0.05\", expect_size=\"28229632\"] \n  18 -> 25 [size =\"28229632\"]\n  18 -> 28 [size =\"28229632\"]\n  18 -> 30 [size =\"28229632\"]\n  18 -> 32 [size =\"28229632\"]\n  18 -> 33 [size =\"28229632\"]\n  19 [size=\"84785152\", alpha=\"0.18\", expect_size=\"42392576\"] \n  19 -> 23 [size =\"42392576\"]\n  19 -> 25 [size =\"42392576\"]\n  19 -> 26 [size =\"42392576\"]\n  19 -> 27 [size =\"42392576\"]\n  19 -> 28 [size =\"42392576\"]\n  19 -> 32 [size =\"42392576\"]\n  19 -> 33 [size =\"42392576\"]\n  19 -> 34 [size =\"42392576\"]\n  20 [size=\"53016576\", alpha=\"0.05\", expect_size=\"26508288\"] \n  20 -> 24 [size =\"26508288\"]\n  20 -> 27 [size =\"26508288\"]\n  20 -> 30 [size =\"26508288\"]\n  20 -> 31 [size =\"26508288\"]\n  20 -> 32 [size =\"26508288\"]\n  20 -> 34 [size =\"26508288\"]\n  20 -> 35 [size =\"26508288\"]\n  21 [size=\"38524928\", alpha=\"0.17\", expect_size=\"19262464\"] \n  21 -> 24 [size =\"19262464\"]\n  21 -> 25 [size =\"19262464\"]\n  21 -> 27 [size =\"19262464\"]\n  21 -> 29 [size =\"19262464\"]\n  21 -> 30 [size =\"19262464\"]\n  21 -> 32 [size =\"19262464\"]\n  21 -> 33 [size =\"19262464\"]\n  21 -> 34 [size =\"19262464\"]\n  22 [size=\"70123520\", alpha=\"0.00\", expect_size=\"35061760\"] \n  22 -> 25 [size =\"35061760\"]\n  22 -> 27 [size =\"35061760\"]\n  22 -> 30 [size =\"35061760\"]\n  22 -> 31 [size =\"35061760\"]\n  22 -> 33 [size =\"35061760\"]\n  22 -> 34 [size =\"35061760\"]\n  23 [size=\"66170880\", alpha=\"0.12\", expect_size=\"33085440\"] \n  24 [size=\"101974016\", alpha=\"0.16\", expect_size=\"50987008\"] \n  25 [size=\"62654464\", alpha=\"0.09\", expect_size=\"31327232\"] \n  26 [size=\"102799360\", alpha=\"0.05\", expect_size=\"51399680\"] \n  27 [size=\"26202112\", alpha=\"0.19\", expect_size=\"13101056\"] \n  28 [size=\"81989632\", alpha=\"0.13\", expect_size=\"40994816\"] \n  29 [size=\"12601344\", alpha=\"0.12\", expect_size=\"6300672\"] \n  30 [size=\"98447360\", alpha=\"0.08\", expect_size=\"49223680\"] \n  31 [size=\"29663232\", alpha=\"0.01\", expect_size=\"14831616\"] \n  32 [size=\"15067136\", alpha=\"0.15\", expect_size=\"7533568\"] \n  33 [size=\"16031744\", alpha=\"0.06\", expect_size=\"8015872\"] \n  34 [size=\"74643456\", alpha=\"0.05\", expect_size=\"37321728\"] \n  35 [size=\"55336960\", alpha=\"0.15\", expect_size=\"27668480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78694400\", alpha=\"0.07\", expect_size=\"39347200\"] \n  1 -> 2 [size =\"39347200\"]\n  2 [size=\"38320128\", alpha=\"0.15\", expect_size=\"19160064\"] \n  2 -> 3 [size =\"19160064\"]\n  2 -> 4 [size =\"19160064\"]\n  3 [size=\"39276544\", alpha=\"0.02\", expect_size=\"19638272\"] \n  3 -> 5 [size =\"19638272\"]\n  4 [size=\"25821184\", alpha=\"0.09\", expect_size=\"12910592\"] \n  4 -> 5 [size =\"12910592\"]\n  5 [size=\"93237248\", alpha=\"0.11\", expect_size=\"46618624\"] \n  5 -> 6 [size =\"46618624\"]\n  5 -> 7 [size =\"46618624\"]\n  6 [size=\"40513536\", alpha=\"0.08\", expect_size=\"20256768\"] \n  6 -> 8 [size =\"20256768\"]\n  7 [size=\"22450176\", alpha=\"0.16\", expect_size=\"11225088\"] \n  7 -> 8 [size =\"11225088\"]\n  8 [size=\"41916416\", alpha=\"0.16\", expect_size=\"20958208\"] \n  8 -> 9 [size =\"20958208\"]\n  9 [size=\"50178048\", alpha=\"0.17\", expect_size=\"25089024\"] \n  9 -> 10 [size =\"25089024\"]\n  9 -> 11 [size =\"25089024\"]\n  10 [size=\"32165888\", alpha=\"0.16\", expect_size=\"16082944\"] \n  10 -> 12 [size =\"16082944\"]\n  11 [size=\"44673024\", alpha=\"0.08\", expect_size=\"22336512\"] \n  11 -> 12 [size =\"22336512\"]\n  12 [size=\"75798528\", alpha=\"0.00\", expect_size=\"37899264\"] \n  12 -> 13 [size =\"37899264\"]\n  13 [size=\"53372928\", alpha=\"0.03\", expect_size=\"26686464\"] \n  13 -> 14 [size =\"26686464\"]\n  14 [size=\"64161792\", alpha=\"0.11\", expect_size=\"32080896\"] \n  14 -> 15 [size =\"32080896\"]\n  14 -> 16 [size =\"32080896\"]\n  15 [size=\"104347648\", alpha=\"0.04\", expect_size=\"52173824\"] \n  15 -> 17 [size =\"52173824\"]\n  16 [size=\"60897280\", alpha=\"0.18\", expect_size=\"30448640\"] \n  16 -> 17 [size =\"30448640\"]\n  16 -> 18 [size =\"30448640\"]\n  17 [size=\"99006464\", alpha=\"0.11\", expect_size=\"49503232\"] \n  17 -> 19 [size =\"49503232\"]\n  17 -> 20 [size =\"49503232\"]\n  18 [size=\"79902720\", alpha=\"0.05\", expect_size=\"39951360\"] \n  18 -> 20 [size =\"39951360\"]\n  19 [size=\"62830592\", alpha=\"0.11\", expect_size=\"31415296\"] \n  19 -> 21 [size =\"31415296\"]\n  20 [size=\"50776064\", alpha=\"0.03\", expect_size=\"25388032\"] \n  20 -> 21 [size =\"25388032\"]\n  21 [size=\"31301632\", alpha=\"0.10\", expect_size=\"15650816\"] \n  21 -> 22 [size =\"15650816\"]\n  22 [size=\"70758400\", alpha=\"0.02\", expect_size=\"35379200\"] \n  22 -> 23 [size =\"35379200\"]\n  23 [size=\"70903808\", alpha=\"0.01\", expect_size=\"35451904\"] \n  23 -> 24 [size =\"35451904\"]\n  24 [size=\"86958080\", alpha=\"0.03\", expect_size=\"43479040\"] \n  24 -> 25 [size =\"43479040\"]\n  25 [size=\"44832768\", alpha=\"0.02\", expect_size=\"22416384\"] \n  25 -> 26 [size =\"22416384\"]\n  26 [size=\"66025472\", alpha=\"0.08\", expect_size=\"33012736\"] \n  26 -> 27 [size =\"33012736\"]\n  26 -> 28 [size =\"33012736\"]\n  27 [size=\"56098816\", alpha=\"0.16\", expect_size=\"28049408\"] \n  27 -> 29 [size =\"28049408\"]\n  28 [size=\"15319040\", alpha=\"0.11\", expect_size=\"7659520\"] \n  28 -> 29 [size =\"7659520\"]\n  29 [size=\"39534592\", alpha=\"0.14\", expect_size=\"19767296\"] \n  29 -> 30 [size =\"19767296\"]\n  29 -> 31 [size =\"19767296\"]\n  30 [size=\"93257728\", alpha=\"0.02\", expect_size=\"46628864\"] \n  30 -> 32 [size =\"46628864\"]\n  31 [size=\"15099904\", alpha=\"0.17\", expect_size=\"7549952\"] \n  32 [size=\"62013440\", alpha=\"0.06\", expect_size=\"31006720\"] \n  32 -> 33 [size =\"31006720\"]\n  32 -> 34 [size =\"31006720\"]\n  33 [size=\"73086976\", alpha=\"0.04\", expect_size=\"36543488\"] \n  34 [size=\"77115392\", alpha=\"0.13\", expect_size=\"38557696\"] \n  34 -> 35 [size =\"38557696\"]\n  35 [size=\"89432064\", alpha=\"0.03\", expect_size=\"44716032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48445440\", alpha=\"0.09\", expect_size=\"24222720\"] \n  1 -> 7 [size =\"24222720\"]\n  1 -> 8 [size =\"24222720\"]\n  1 -> 9 [size =\"24222720\"]\n  2 [size=\"41385984\", alpha=\"0.08\", expect_size=\"20692992\"] \n  2 -> 8 [size =\"20692992\"]\n  2 -> 9 [size =\"20692992\"]\n  3 [size=\"104001536\", alpha=\"0.02\", expect_size=\"52000768\"] \n  3 -> 6 [size =\"52000768\"]\n  3 -> 7 [size =\"52000768\"]\n  3 -> 8 [size =\"52000768\"]\n  4 [size=\"15179776\", alpha=\"0.08\", expect_size=\"7589888\"] \n  4 -> 9 [size =\"7589888\"]\n  5 [size=\"83625984\", alpha=\"0.04\", expect_size=\"41812992\"] \n  5 -> 10 [size =\"41812992\"]\n  6 [size=\"14198784\", alpha=\"0.12\", expect_size=\"7099392\"] \n  6 -> 11 [size =\"7099392\"]\n  6 -> 12 [size =\"7099392\"]\n  6 -> 13 [size =\"7099392\"]\n  7 [size=\"24707072\", alpha=\"0.01\", expect_size=\"12353536\"] \n  7 -> 13 [size =\"12353536\"]\n  8 [size=\"51294208\", alpha=\"0.14\", expect_size=\"25647104\"] \n  9 [size=\"36009984\", alpha=\"0.14\", expect_size=\"18004992\"] \n  9 -> 12 [size =\"18004992\"]\n  10 [size=\"57495552\", alpha=\"0.04\", expect_size=\"28747776\"] \n  10 -> 12 [size =\"28747776\"]\n  10 -> 14 [size =\"28747776\"]\n  11 [size=\"86489088\", alpha=\"0.10\", expect_size=\"43244544\"] \n  11 -> 18 [size =\"43244544\"]\n  12 [size=\"35887104\", alpha=\"0.14\", expect_size=\"17943552\"] \n  12 -> 16 [size =\"17943552\"]\n  12 -> 17 [size =\"17943552\"]\n  12 -> 19 [size =\"17943552\"]\n  13 [size=\"75210752\", alpha=\"0.00\", expect_size=\"37605376\"] \n  13 -> 16 [size =\"37605376\"]\n  14 [size=\"82315264\", alpha=\"0.08\", expect_size=\"41157632\"] \n  14 -> 15 [size =\"41157632\"]\n  14 -> 17 [size =\"41157632\"]\n  15 [size=\"27449344\", alpha=\"0.12\", expect_size=\"13724672\"] \n  15 -> 21 [size =\"13724672\"]\n  16 [size=\"48603136\", alpha=\"0.10\", expect_size=\"24301568\"] \n  16 -> 23 [size =\"24301568\"]\n  17 [size=\"11134976\", alpha=\"0.11\", expect_size=\"5567488\"] \n  17 -> 20 [size =\"5567488\"]\n  17 -> 22 [size =\"5567488\"]\n  17 -> 23 [size =\"5567488\"]\n  18 [size=\"13938688\", alpha=\"0.07\", expect_size=\"6969344\"] \n  18 -> 20 [size =\"6969344\"]\n  18 -> 21 [size =\"6969344\"]\n  19 [size=\"78360576\", alpha=\"0.08\", expect_size=\"39180288\"] \n  19 -> 22 [size =\"39180288\"]\n  20 [size=\"48084992\", alpha=\"0.02\", expect_size=\"24042496\"] \n  20 -> 27 [size =\"24042496\"]\n  20 -> 28 [size =\"24042496\"]\n  21 [size=\"68661248\", alpha=\"0.03\", expect_size=\"34330624\"] \n  21 -> 24 [size =\"34330624\"]\n  21 -> 25 [size =\"34330624\"]\n  21 -> 26 [size =\"34330624\"]\n  21 -> 27 [size =\"34330624\"]\n  22 [size=\"22179840\", alpha=\"0.12\", expect_size=\"11089920\"] \n  22 -> 25 [size =\"11089920\"]\n  22 -> 26 [size =\"11089920\"]\n  22 -> 28 [size =\"11089920\"]\n  23 [size=\"86536192\", alpha=\"0.20\", expect_size=\"43268096\"] \n  23 -> 28 [size =\"43268096\"]\n  24 [size=\"86913024\", alpha=\"0.09\", expect_size=\"43456512\"] \n  24 -> 30 [size =\"43456512\"]\n  24 -> 32 [size =\"43456512\"]\n  25 [size=\"32432128\", alpha=\"0.14\", expect_size=\"16216064\"] \n  25 -> 29 [size =\"16216064\"]\n  25 -> 30 [size =\"16216064\"]\n  25 -> 33 [size =\"16216064\"]\n  26 [size=\"88774656\", alpha=\"0.19\", expect_size=\"44387328\"] \n  26 -> 30 [size =\"44387328\"]\n  26 -> 32 [size =\"44387328\"]\n  26 -> 33 [size =\"44387328\"]\n  27 [size=\"40882176\", alpha=\"0.08\", expect_size=\"20441088\"] \n  27 -> 33 [size =\"20441088\"]\n  28 [size=\"90454016\", alpha=\"0.05\", expect_size=\"45227008\"] \n  28 -> 31 [size =\"45227008\"]\n  29 [size=\"30142464\", alpha=\"0.08\", expect_size=\"15071232\"] \n  29 -> 35 [size =\"15071232\"]\n  30 [size=\"66945024\", alpha=\"0.00\", expect_size=\"33472512\"] \n  30 -> 34 [size =\"33472512\"]\n  31 [size=\"74405888\", alpha=\"0.09\", expect_size=\"37202944\"] \n  32 [size=\"90484736\", alpha=\"0.03\", expect_size=\"45242368\"] \n  32 -> 35 [size =\"45242368\"]\n  33 [size=\"51712000\", alpha=\"0.10\", expect_size=\"25856000\"] \n  33 -> 34 [size =\"25856000\"]\n  33 -> 35 [size =\"25856000\"]\n  34 [size=\"51607552\", alpha=\"0.13\", expect_size=\"25803776\"] \n  35 [size=\"94863360\", alpha=\"0.20\", expect_size=\"47431680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167021227\", alpha=\"0.03\", expect_size=\"50106368\"] \n  1 -> 5 [size =\"50106368\"]\n  1 -> 7 [size =\"50106368\"]\n  1 -> 8 [size =\"50106368\"]\n  2 [size=\"91006293\", alpha=\"0.19\", expect_size=\"27301888\"] \n  2 -> 5 [size =\"27301888\"]\n  2 -> 6 [size =\"27301888\"]\n  2 -> 8 [size =\"27301888\"]\n  3 [size=\"53609813\", alpha=\"0.01\", expect_size=\"16082944\"] \n  3 -> 6 [size =\"16082944\"]\n  3 -> 7 [size =\"16082944\"]\n  4 [size=\"63296853\", alpha=\"0.18\", expect_size=\"18989056\"] \n  4 -> 5 [size =\"18989056\"]\n  4 -> 6 [size =\"18989056\"]\n  5 [size=\"137987413\", alpha=\"0.15\", expect_size=\"41396224\"] \n  5 -> 10 [size =\"41396224\"]\n  5 -> 12 [size =\"41396224\"]\n  6 [size=\"70109867\", alpha=\"0.11\", expect_size=\"21032960\"] \n  6 -> 11 [size =\"21032960\"]\n  7 [size=\"158976000\", alpha=\"0.01\", expect_size=\"47692800\"] \n  7 -> 9 [size =\"47692800\"]\n  7 -> 11 [size =\"47692800\"]\n  8 [size=\"102167893\", alpha=\"0.04\", expect_size=\"30650368\"] \n  8 -> 10 [size =\"30650368\"]\n  8 -> 12 [size =\"30650368\"]\n  9 [size=\"148186453\", alpha=\"0.06\", expect_size=\"44455936\"] \n  9 -> 13 [size =\"44455936\"]\n  9 -> 14 [size =\"44455936\"]\n  9 -> 17 [size =\"44455936\"]\n  10 [size=\"163013973\", alpha=\"0.13\", expect_size=\"48904192\"] \n  10 -> 13 [size =\"48904192\"]\n  11 [size=\"85050027\", alpha=\"0.13\", expect_size=\"25515008\"] \n  11 -> 13 [size =\"25515008\"]\n  11 -> 14 [size =\"25515008\"]\n  11 -> 15 [size =\"25515008\"]\n  11 -> 16 [size =\"25515008\"]\n  11 -> 17 [size =\"25515008\"]\n  12 [size=\"107154773\", alpha=\"0.03\", expect_size=\"32146432\"] \n  13 [size=\"101075627\", alpha=\"0.11\", expect_size=\"30322688\"] \n  13 -> 20 [size =\"30322688\"]\n  14 [size=\"110981120\", alpha=\"0.06\", expect_size=\"33294336\"] \n  14 -> 19 [size =\"33294336\"]\n  15 [size=\"95481173\", alpha=\"0.08\", expect_size=\"28644352\"] \n  15 -> 18 [size =\"28644352\"]\n  15 -> 21 [size =\"28644352\"]\n  16 [size=\"57695573\", alpha=\"0.19\", expect_size=\"17308672\"] \n  16 -> 21 [size =\"17308672\"]\n  17 [size=\"143295147\", alpha=\"0.03\", expect_size=\"42988544\"] \n  17 -> 21 [size =\"42988544\"]\n  18 [size=\"147879253\", alpha=\"0.14\", expect_size=\"44363776\"] \n  18 -> 25 [size =\"44363776\"]\n  19 [size=\"20084053\", alpha=\"0.18\", expect_size=\"6025216\"] \n  20 [size=\"63549440\", alpha=\"0.06\", expect_size=\"19064832\"] \n  20 -> 24 [size =\"19064832\"]\n  21 [size=\"168222720\", alpha=\"0.14\", expect_size=\"50466816\"] \n  21 -> 22 [size =\"50466816\"]\n  21 -> 23 [size =\"50466816\"]\n  22 [size=\"111394133\", alpha=\"0.11\", expect_size=\"33418240\"] \n  22 -> 26 [size =\"33418240\"]\n  23 [size=\"134621867\", alpha=\"0.13\", expect_size=\"40386560\"] \n  24 [size=\"67454293\", alpha=\"0.01\", expect_size=\"20236288\"] \n  24 -> 27 [size =\"20236288\"]\n  24 -> 28 [size =\"20236288\"]\n  24 -> 29 [size =\"20236288\"]\n  25 [size=\"114602667\", alpha=\"0.04\", expect_size=\"34380800\"] \n  25 -> 26 [size =\"34380800\"]\n  26 [size=\"22002347\", alpha=\"0.13\", expect_size=\"6600704\"] \n  26 -> 30 [size =\"6600704\"]\n  26 -> 32 [size =\"6600704\"]\n  27 [size=\"171636053\", alpha=\"0.01\", expect_size=\"51490816\"] \n  27 -> 30 [size =\"51490816\"]\n  27 -> 33 [size =\"51490816\"]\n  28 [size=\"36481707\", alpha=\"0.19\", expect_size=\"10944512\"] \n  28 -> 31 [size =\"10944512\"]\n  29 [size=\"145814187\", alpha=\"0.14\", expect_size=\"43744256\"] \n  30 [size=\"127047680\", alpha=\"0.08\", expect_size=\"38114304\"] \n  30 -> 35 [size =\"38114304\"]\n  31 [size=\"20162560\", alpha=\"0.10\", expect_size=\"6048768\"] \n  32 [size=\"131997013\", alpha=\"0.03\", expect_size=\"39599104\"] \n  32 -> 34 [size =\"39599104\"]\n  32 -> 35 [size =\"39599104\"]\n  33 [size=\"64218453\", alpha=\"0.07\", expect_size=\"19265536\"] \n  33 -> 34 [size =\"19265536\"]\n  34 [size=\"167540053\", alpha=\"0.03\", expect_size=\"50262016\"] \n  35 [size=\"173206187\", alpha=\"0.09\", expect_size=\"51961856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98123093\", alpha=\"0.06\", expect_size=\"29436928\"] \n  1 -> 3 [size =\"29436928\"]\n  2 [size=\"173748907\", alpha=\"0.06\", expect_size=\"52124672\"] \n  2 -> 3 [size =\"52124672\"]\n  3 [size=\"75441493\", alpha=\"0.16\", expect_size=\"22632448\"] \n  3 -> 4 [size =\"22632448\"]\n  3 -> 5 [size =\"22632448\"]\n  4 [size=\"166819840\", alpha=\"0.14\", expect_size=\"50045952\"] \n  4 -> 6 [size =\"50045952\"]\n  5 [size=\"52104533\", alpha=\"0.04\", expect_size=\"15631360\"] \n  5 -> 6 [size =\"15631360\"]\n  6 [size=\"126914560\", alpha=\"0.07\", expect_size=\"38074368\"] \n  6 -> 7 [size =\"38074368\"]\n  7 [size=\"67099307\", alpha=\"0.06\", expect_size=\"20129792\"] \n  7 -> 8 [size =\"20129792\"]\n  7 -> 9 [size =\"20129792\"]\n  8 [size=\"109564587\", alpha=\"0.05\", expect_size=\"32869376\"] \n  8 -> 10 [size =\"32869376\"]\n  9 [size=\"54405120\", alpha=\"0.17\", expect_size=\"16321536\"] \n  10 [size=\"161157120\", alpha=\"0.08\", expect_size=\"48347136\"] \n  10 -> 11 [size =\"48347136\"]\n  10 -> 12 [size =\"48347136\"]\n  11 [size=\"141711360\", alpha=\"0.18\", expect_size=\"42513408\"] \n  12 [size=\"31064747\", alpha=\"0.07\", expect_size=\"9319424\"] \n  12 -> 13 [size =\"9319424\"]\n  13 [size=\"77380267\", alpha=\"0.10\", expect_size=\"23214080\"] \n  13 -> 14 [size =\"23214080\"]\n  13 -> 15 [size =\"23214080\"]\n  14 [size=\"42096640\", alpha=\"0.03\", expect_size=\"12628992\"] \n  14 -> 16 [size =\"12628992\"]\n  15 [size=\"148271787\", alpha=\"0.05\", expect_size=\"44481536\"] \n  16 [size=\"24442880\", alpha=\"0.07\", expect_size=\"7332864\"] \n  16 -> 17 [size =\"7332864\"]\n  16 -> 18 [size =\"7332864\"]\n  17 [size=\"76339200\", alpha=\"0.18\", expect_size=\"22901760\"] \n  17 -> 19 [size =\"22901760\"]\n  18 [size=\"122972160\", alpha=\"0.01\", expect_size=\"36891648\"] \n  18 -> 19 [size =\"36891648\"]\n  19 [size=\"161249280\", alpha=\"0.11\", expect_size=\"48374784\"] \n  19 -> 20 [size =\"48374784\"]\n  19 -> 21 [size =\"48374784\"]\n  20 [size=\"135656107\", alpha=\"0.01\", expect_size=\"40696832\"] \n  20 -> 22 [size =\"40696832\"]\n  20 -> 23 [size =\"40696832\"]\n  21 [size=\"39072427\", alpha=\"0.01\", expect_size=\"11721728\"] \n  21 -> 23 [size =\"11721728\"]\n  22 [size=\"21811200\", alpha=\"0.02\", expect_size=\"6543360\"] \n  22 -> 24 [size =\"6543360\"]\n  22 -> 25 [size =\"6543360\"]\n  23 [size=\"77813760\", alpha=\"0.09\", expect_size=\"23344128\"] \n  23 -> 24 [size =\"23344128\"]\n  23 -> 25 [size =\"23344128\"]\n  24 [size=\"158726827\", alpha=\"0.16\", expect_size=\"47618048\"] \n  24 -> 26 [size =\"47618048\"]\n  25 [size=\"26057387\", alpha=\"0.07\", expect_size=\"7817216\"] \n  25 -> 26 [size =\"7817216\"]\n  26 [size=\"66071893\", alpha=\"0.12\", expect_size=\"19821568\"] \n  26 -> 27 [size =\"19821568\"]\n  26 -> 28 [size =\"19821568\"]\n  27 [size=\"117978453\", alpha=\"0.03\", expect_size=\"35393536\"] \n  27 -> 29 [size =\"35393536\"]\n  27 -> 30 [size =\"35393536\"]\n  28 [size=\"101587627\", alpha=\"0.06\", expect_size=\"30476288\"] \n  29 [size=\"112848213\", alpha=\"0.14\", expect_size=\"33854464\"] \n  29 -> 31 [size =\"33854464\"]\n  30 [size=\"39376213\", alpha=\"0.20\", expect_size=\"11812864\"] \n  30 -> 31 [size =\"11812864\"]\n  31 [size=\"45810347\", alpha=\"0.01\", expect_size=\"13743104\"] \n  31 -> 32 [size =\"13743104\"]\n  31 -> 33 [size =\"13743104\"]\n  32 [size=\"55511040\", alpha=\"0.05\", expect_size=\"16653312\"] \n  33 [size=\"67471360\", alpha=\"0.16\", expect_size=\"20241408\"] \n  33 -> 34 [size =\"20241408\"]\n  33 -> 35 [size =\"20241408\"]\n  34 [size=\"139653120\", alpha=\"0.10\", expect_size=\"41895936\"] \n  35 [size=\"106830507\", alpha=\"0.01\", expect_size=\"32049152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163720533\", alpha=\"0.09\", expect_size=\"49116160\"] \n  1 -> 2 [size =\"49116160\"]\n  2 [size=\"174697813\", alpha=\"0.15\", expect_size=\"52409344\"] \n  2 -> 3 [size =\"52409344\"]\n  3 [size=\"97856853\", alpha=\"0.07\", expect_size=\"29357056\"] \n  3 -> 4 [size =\"29357056\"]\n  4 [size=\"131874133\", alpha=\"0.18\", expect_size=\"39562240\"] \n  4 -> 5 [size =\"39562240\"]\n  5 [size=\"155743573\", alpha=\"0.09\", expect_size=\"46723072\"] \n  5 -> 6 [size =\"46723072\"]\n  6 [size=\"57272320\", alpha=\"0.09\", expect_size=\"17181696\"] \n  6 -> 7 [size =\"17181696\"]\n  7 [size=\"123702613\", alpha=\"0.04\", expect_size=\"37110784\"] \n  7 -> 8 [size =\"37110784\"]\n  8 [size=\"38239573\", alpha=\"0.08\", expect_size=\"11471872\"] \n  8 -> 9 [size =\"11471872\"]\n  9 [size=\"126095360\", alpha=\"0.08\", expect_size=\"37828608\"] \n  9 -> 10 [size =\"37828608\"]\n  10 [size=\"103567360\", alpha=\"0.18\", expect_size=\"31070208\"] \n  10 -> 11 [size =\"31070208\"]\n  11 [size=\"67102720\", alpha=\"0.08\", expect_size=\"20130816\"] \n  11 -> 12 [size =\"20130816\"]\n  12 [size=\"140451840\", alpha=\"0.13\", expect_size=\"42135552\"] \n  12 -> 13 [size =\"42135552\"]\n  13 [size=\"102072320\", alpha=\"0.13\", expect_size=\"30621696\"] \n  13 -> 14 [size =\"30621696\"]\n  14 [size=\"153852587\", alpha=\"0.02\", expect_size=\"46155776\"] \n  14 -> 15 [size =\"46155776\"]\n  15 [size=\"137895253\", alpha=\"0.04\", expect_size=\"41368576\"] \n  15 -> 16 [size =\"41368576\"]\n  16 [size=\"53695147\", alpha=\"0.09\", expect_size=\"16108544\"] \n  16 -> 17 [size =\"16108544\"]\n  17 [size=\"124583253\", alpha=\"0.10\", expect_size=\"37374976\"] \n  17 -> 18 [size =\"37374976\"]\n  18 [size=\"157300053\", alpha=\"0.18\", expect_size=\"47190016\"] \n  18 -> 19 [size =\"47190016\"]\n  19 [size=\"62218240\", alpha=\"0.12\", expect_size=\"18665472\"] \n  19 -> 20 [size =\"18665472\"]\n  20 [size=\"126044160\", alpha=\"0.18\", expect_size=\"37813248\"] \n  20 -> 21 [size =\"37813248\"]\n  21 [size=\"113691307\", alpha=\"0.03\", expect_size=\"34107392\"] \n  21 -> 22 [size =\"34107392\"]\n  22 [size=\"22053547\", alpha=\"0.08\", expect_size=\"6616064\"] \n  22 -> 23 [size =\"6616064\"]\n  23 [size=\"123153067\", alpha=\"0.03\", expect_size=\"36945920\"] \n  23 -> 24 [size =\"36945920\"]\n  24 [size=\"69700267\", alpha=\"0.12\", expect_size=\"20910080\"] \n  24 -> 25 [size =\"20910080\"]\n  25 [size=\"86964907\", alpha=\"0.20\", expect_size=\"26089472\"] \n  25 -> 26 [size =\"26089472\"]\n  26 [size=\"116012373\", alpha=\"0.12\", expect_size=\"34803712\"] \n  26 -> 27 [size =\"34803712\"]\n  27 [size=\"30515200\", alpha=\"0.17\", expect_size=\"9154560\"] \n  27 -> 28 [size =\"9154560\"]\n  28 [size=\"105881600\", alpha=\"0.06\", expect_size=\"31764480\"] \n  28 -> 29 [size =\"31764480\"]\n  29 [size=\"89019733\", alpha=\"0.08\", expect_size=\"26705920\"] \n  29 -> 30 [size =\"26705920\"]\n  30 [size=\"25982293\", alpha=\"0.01\", expect_size=\"7794688\"] \n  30 -> 31 [size =\"7794688\"]\n  31 [size=\"169093120\", alpha=\"0.01\", expect_size=\"50727936\"] \n  31 -> 32 [size =\"50727936\"]\n  32 [size=\"35447467\", alpha=\"0.16\", expect_size=\"10634240\"] \n  32 -> 33 [size =\"10634240\"]\n  33 [size=\"96839680\", alpha=\"0.01\", expect_size=\"29051904\"] \n  33 -> 34 [size =\"29051904\"]\n  34 [size=\"119080960\", alpha=\"0.05\", expect_size=\"35724288\"] \n  34 -> 35 [size =\"35724288\"]\n  35 [size=\"59286187\", alpha=\"0.03\", expect_size=\"17785856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27622400\", alpha=\"0.09\", expect_size=\"11048960\"] \n  1 -> 6 [size =\"11048960\"]\n  2 [size=\"14108160\", alpha=\"0.03\", expect_size=\"5643264\"] \n  3 [size=\"77368320\", alpha=\"0.07\", expect_size=\"30947328\"] \n  3 -> 6 [size =\"30947328\"]\n  3 -> 7 [size =\"30947328\"]\n  3 -> 8 [size =\"30947328\"]\n  4 [size=\"127060480\", alpha=\"0.18\", expect_size=\"50824192\"] \n  4 -> 5 [size =\"50824192\"]\n  4 -> 8 [size =\"50824192\"]\n  5 [size=\"70067200\", alpha=\"0.09\", expect_size=\"28026880\"] \n  5 -> 11 [size =\"28026880\"]\n  5 -> 12 [size =\"28026880\"]\n  5 -> 13 [size =\"28026880\"]\n  6 [size=\"107248640\", alpha=\"0.20\", expect_size=\"42899456\"] \n  6 -> 9 [size =\"42899456\"]\n  6 -> 10 [size =\"42899456\"]\n  6 -> 11 [size =\"42899456\"]\n  6 -> 13 [size =\"42899456\"]\n  6 -> 14 [size =\"42899456\"]\n  7 [size=\"88972800\", alpha=\"0.12\", expect_size=\"35589120\"] \n  8 [size=\"121538560\", alpha=\"0.18\", expect_size=\"48615424\"] \n  8 -> 9 [size =\"48615424\"]\n  8 -> 12 [size =\"48615424\"]\n  9 [size=\"106273280\", alpha=\"0.06\", expect_size=\"42509312\"] \n  10 [size=\"13391360\", alpha=\"0.18\", expect_size=\"5356544\"] \n  10 -> 16 [size =\"5356544\"]\n  11 [size=\"107816960\", alpha=\"0.15\", expect_size=\"43126784\"] \n  11 -> 15 [size =\"43126784\"]\n  11 -> 17 [size =\"43126784\"]\n  11 -> 18 [size =\"43126784\"]\n  12 [size=\"42982400\", alpha=\"0.06\", expect_size=\"17192960\"] \n  12 -> 18 [size =\"17192960\"]\n  13 [size=\"62963200\", alpha=\"0.05\", expect_size=\"25185280\"] \n  14 [size=\"105635840\", alpha=\"0.06\", expect_size=\"42254336\"] \n  15 [size=\"95047680\", alpha=\"0.08\", expect_size=\"38019072\"] \n  15 -> 19 [size =\"38019072\"]\n  15 -> 21 [size =\"38019072\"]\n  16 [size=\"30865920\", alpha=\"0.08\", expect_size=\"12346368\"] \n  16 -> 20 [size =\"12346368\"]\n  16 -> 21 [size =\"12346368\"]\n  16 -> 22 [size =\"12346368\"]\n  17 [size=\"28433920\", alpha=\"0.18\", expect_size=\"11373568\"] \n  18 [size=\"98849280\", alpha=\"0.13\", expect_size=\"39539712\"] \n  18 -> 19 [size =\"39539712\"]\n  18 -> 20 [size =\"39539712\"]\n  19 [size=\"84705280\", alpha=\"0.13\", expect_size=\"33882112\"] \n  19 -> 23 [size =\"33882112\"]\n  19 -> 24 [size =\"33882112\"]\n  20 [size=\"121269760\", alpha=\"0.14\", expect_size=\"48507904\"] \n  20 -> 26 [size =\"48507904\"]\n  21 [size=\"107366400\", alpha=\"0.18\", expect_size=\"42946560\"] \n  22 [size=\"79900160\", alpha=\"0.02\", expect_size=\"31960064\"] \n  22 -> 25 [size =\"31960064\"]\n  23 [size=\"114739200\", alpha=\"0.16\", expect_size=\"45895680\"] \n  23 -> 28 [size =\"45895680\"]\n  24 [size=\"24130560\", alpha=\"0.11\", expect_size=\"9652224\"] \n  24 -> 27 [size =\"9652224\"]\n  24 -> 29 [size =\"9652224\"]\n  25 [size=\"57756160\", alpha=\"0.14\", expect_size=\"23102464\"] \n  25 -> 27 [size =\"23102464\"]\n  25 -> 28 [size =\"23102464\"]\n  25 -> 29 [size =\"23102464\"]\n  26 [size=\"102694400\", alpha=\"0.14\", expect_size=\"41077760\"] \n  27 [size=\"33344000\", alpha=\"0.07\", expect_size=\"13337600\"] \n  27 -> 30 [size =\"13337600\"]\n  28 [size=\"19156480\", alpha=\"0.18\", expect_size=\"7662592\"] \n  28 -> 30 [size =\"7662592\"]\n  28 -> 34 [size =\"7662592\"]\n  29 [size=\"95595520\", alpha=\"0.04\", expect_size=\"38238208\"] \n  29 -> 31 [size =\"38238208\"]\n  29 -> 32 [size =\"38238208\"]\n  29 -> 33 [size =\"38238208\"]\n  30 [size=\"52902400\", alpha=\"0.11\", expect_size=\"21160960\"] \n  31 [size=\"17704960\", alpha=\"0.14\", expect_size=\"7081984\"] \n  31 -> 35 [size =\"7081984\"]\n  32 [size=\"122483200\", alpha=\"0.02\", expect_size=\"48993280\"] \n  33 [size=\"14343680\", alpha=\"0.19\", expect_size=\"5737472\"] \n  34 [size=\"111444480\", alpha=\"0.11\", expect_size=\"44577792\"] \n  35 [size=\"55879680\", alpha=\"0.17\", expect_size=\"22351872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67907584\", alpha=\"0.14\", expect_size=\"33953792\"] \n  1 -> 25 [size =\"33953792\"]\n  1 -> 29 [size =\"33953792\"]\n  1 -> 31 [size =\"33953792\"]\n  1 -> 32 [size =\"33953792\"]\n  1 -> 34 [size =\"33953792\"]\n  1 -> 35 [size =\"33953792\"]\n  2 [size=\"50044928\", alpha=\"0.13\", expect_size=\"25022464\"] \n  2 -> 25 [size =\"25022464\"]\n  2 -> 30 [size =\"25022464\"]\n  2 -> 31 [size =\"25022464\"]\n  2 -> 33 [size =\"25022464\"]\n  2 -> 35 [size =\"25022464\"]\n  2 -> 35 [size =\"25022464\"]\n  3 [size=\"89491456\", alpha=\"0.01\", expect_size=\"44745728\"] \n  3 -> 25 [size =\"44745728\"]\n  3 -> 26 [size =\"44745728\"]\n  3 -> 28 [size =\"44745728\"]\n  3 -> 29 [size =\"44745728\"]\n  3 -> 33 [size =\"44745728\"]\n  4 [size=\"68220928\", alpha=\"0.06\", expect_size=\"34110464\"] \n  4 -> 25 [size =\"34110464\"]\n  4 -> 29 [size =\"34110464\"]\n  4 -> 30 [size =\"34110464\"]\n  4 -> 32 [size =\"34110464\"]\n  4 -> 34 [size =\"34110464\"]\n  5 [size=\"49242112\", alpha=\"0.10\", expect_size=\"24621056\"] \n  5 -> 25 [size =\"24621056\"]\n  5 -> 27 [size =\"24621056\"]\n  5 -> 30 [size =\"24621056\"]\n  5 -> 35 [size =\"24621056\"]\n  6 [size=\"71647232\", alpha=\"0.14\", expect_size=\"35823616\"] \n  6 -> 25 [size =\"35823616\"]\n  6 -> 26 [size =\"35823616\"]\n  6 -> 29 [size =\"35823616\"]\n  6 -> 30 [size =\"35823616\"]\n  6 -> 32 [size =\"35823616\"]\n  6 -> 33 [size =\"35823616\"]\n  6 -> 35 [size =\"35823616\"]\n  7 [size=\"42086400\", alpha=\"0.16\", expect_size=\"21043200\"] \n  7 -> 26 [size =\"21043200\"]\n  7 -> 29 [size =\"21043200\"]\n  7 -> 30 [size =\"21043200\"]\n  7 -> 30 [size =\"21043200\"]\n  7 -> 31 [size =\"21043200\"]\n  7 -> 33 [size =\"21043200\"]\n  7 -> 35 [size =\"21043200\"]\n  8 [size=\"56283136\", alpha=\"0.08\", expect_size=\"28141568\"] \n  8 -> 25 [size =\"28141568\"]\n  8 -> 31 [size =\"28141568\"]\n  8 -> 32 [size =\"28141568\"]\n  8 -> 35 [size =\"28141568\"]\n  9 [size=\"86081536\", alpha=\"0.05\", expect_size=\"43040768\"] \n  9 -> 30 [size =\"43040768\"]\n  9 -> 31 [size =\"43040768\"]\n  9 -> 34 [size =\"43040768\"]\n  9 -> 35 [size =\"43040768\"]\n  10 [size=\"49145856\", alpha=\"0.15\", expect_size=\"24572928\"] \n  10 -> 25 [size =\"24572928\"]\n  10 -> 26 [size =\"24572928\"]\n  10 -> 27 [size =\"24572928\"]\n  10 -> 29 [size =\"24572928\"]\n  10 -> 30 [size =\"24572928\"]\n  10 -> 31 [size =\"24572928\"]\n  10 -> 32 [size =\"24572928\"]\n  10 -> 33 [size =\"24572928\"]\n  10 -> 34 [size =\"24572928\"]\n  11 [size=\"14774272\", alpha=\"0.06\", expect_size=\"7387136\"] \n  11 -> 25 [size =\"7387136\"]\n  11 -> 26 [size =\"7387136\"]\n  11 -> 27 [size =\"7387136\"]\n  11 -> 30 [size =\"7387136\"]\n  11 -> 30 [size =\"7387136\"]\n  11 -> 31 [size =\"7387136\"]\n  11 -> 32 [size =\"7387136\"]\n  11 -> 33 [size =\"7387136\"]\n  12 [size=\"80056320\", alpha=\"0.04\", expect_size=\"40028160\"] \n  12 -> 25 [size =\"40028160\"]\n  12 -> 29 [size =\"40028160\"]\n  12 -> 30 [size =\"40028160\"]\n  12 -> 30 [size =\"40028160\"]\n  12 -> 32 [size =\"40028160\"]\n  12 -> 33 [size =\"40028160\"]\n  13 [size=\"47755264\", alpha=\"0.14\", expect_size=\"23877632\"] \n  13 -> 25 [size =\"23877632\"]\n  13 -> 26 [size =\"23877632\"]\n  13 -> 29 [size =\"23877632\"]\n  13 -> 31 [size =\"23877632\"]\n  13 -> 32 [size =\"23877632\"]\n  13 -> 33 [size =\"23877632\"]\n  14 [size=\"50405376\", alpha=\"0.11\", expect_size=\"25202688\"] \n  14 -> 25 [size =\"25202688\"]\n  14 -> 26 [size =\"25202688\"]\n  14 -> 29 [size =\"25202688\"]\n  14 -> 30 [size =\"25202688\"]\n  14 -> 32 [size =\"25202688\"]\n  14 -> 33 [size =\"25202688\"]\n  15 [size=\"80351232\", alpha=\"0.11\", expect_size=\"40175616\"] \n  15 -> 25 [size =\"40175616\"]\n  15 -> 29 [size =\"40175616\"]\n  15 -> 30 [size =\"40175616\"]\n  15 -> 32 [size =\"40175616\"]\n  15 -> 34 [size =\"40175616\"]\n  16 [size=\"34318336\", alpha=\"0.10\", expect_size=\"17159168\"] \n  16 -> 25 [size =\"17159168\"]\n  16 -> 29 [size =\"17159168\"]\n  16 -> 34 [size =\"17159168\"]\n  17 [size=\"99876864\", alpha=\"0.12\", expect_size=\"49938432\"] \n  17 -> 25 [size =\"49938432\"]\n  17 -> 26 [size =\"49938432\"]\n  17 -> 27 [size =\"49938432\"]\n  17 -> 29 [size =\"49938432\"]\n  17 -> 30 [size =\"49938432\"]\n  17 -> 31 [size =\"49938432\"]\n  17 -> 32 [size =\"49938432\"]\n  17 -> 33 [size =\"49938432\"]\n  18 [size=\"83339264\", alpha=\"0.16\", expect_size=\"41669632\"] \n  18 -> 25 [size =\"41669632\"]\n  18 -> 26 [size =\"41669632\"]\n  18 -> 27 [size =\"41669632\"]\n  18 -> 29 [size =\"41669632\"]\n  18 -> 30 [size =\"41669632\"]\n  18 -> 31 [size =\"41669632\"]\n  18 -> 32 [size =\"41669632\"]\n  18 -> 35 [size =\"41669632\"]\n  19 [size=\"27824128\", alpha=\"0.07\", expect_size=\"13912064\"] \n  19 -> 25 [size =\"13912064\"]\n  19 -> 30 [size =\"13912064\"]\n  19 -> 31 [size =\"13912064\"]\n  19 -> 33 [size =\"13912064\"]\n  19 -> 35 [size =\"13912064\"]\n  20 [size=\"50448384\", alpha=\"0.12\", expect_size=\"25224192\"] \n  20 -> 30 [size =\"25224192\"]\n  20 -> 30 [size =\"25224192\"]\n  20 -> 31 [size =\"25224192\"]\n  20 -> 35 [size =\"25224192\"]\n  20 -> 35 [size =\"25224192\"]\n  21 [size=\"27246592\", alpha=\"0.09\", expect_size=\"13623296\"] \n  21 -> 25 [size =\"13623296\"]\n  21 -> 27 [size =\"13623296\"]\n  21 -> 29 [size =\"13623296\"]\n  21 -> 30 [size =\"13623296\"]\n  21 -> 31 [size =\"13623296\"]\n  21 -> 33 [size =\"13623296\"]\n  22 [size=\"56033280\", alpha=\"0.14\", expect_size=\"28016640\"] \n  22 -> 25 [size =\"28016640\"]\n  22 -> 26 [size =\"28016640\"]\n  22 -> 30 [size =\"28016640\"]\n  22 -> 30 [size =\"28016640\"]\n  22 -> 31 [size =\"28016640\"]\n  22 -> 32 [size =\"28016640\"]\n  22 -> 33 [size =\"28016640\"]\n  23 [size=\"77207552\", alpha=\"0.16\", expect_size=\"38603776\"] \n  23 -> 26 [size =\"38603776\"]\n  23 -> 27 [size =\"38603776\"]\n  23 -> 29 [size =\"38603776\"]\n  23 -> 32 [size =\"38603776\"]\n  23 -> 33 [size =\"38603776\"]\n  23 -> 34 [size =\"38603776\"]\n  24 [size=\"47208448\", alpha=\"0.10\", expect_size=\"23604224\"] \n  24 -> 25 [size =\"23604224\"]\n  24 -> 29 [size =\"23604224\"]\n  24 -> 31 [size =\"23604224\"]\n  24 -> 35 [size =\"23604224\"]\n  25 [size=\"99715072\", alpha=\"0.13\", expect_size=\"49857536\"] \n  26 [size=\"56576000\", alpha=\"0.08\", expect_size=\"28288000\"] \n  27 [size=\"103075840\", alpha=\"0.10\", expect_size=\"51537920\"] \n  28 [size=\"63799296\", alpha=\"0.02\", expect_size=\"31899648\"] \n  29 [size=\"44527616\", alpha=\"0.10\", expect_size=\"22263808\"] \n  30 [size=\"79298560\", alpha=\"0.06\", expect_size=\"39649280\"] \n  31 [size=\"41857024\", alpha=\"0.03\", expect_size=\"20928512\"] \n  32 [size=\"83996672\", alpha=\"0.15\", expect_size=\"41998336\"] \n  33 [size=\"56535040\", alpha=\"0.14\", expect_size=\"28267520\"] \n  34 [size=\"38477824\", alpha=\"0.02\", expect_size=\"19238912\"] \n  35 [size=\"87564288\", alpha=\"0.05\", expect_size=\"43782144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38269440\", alpha=\"0.11\", expect_size=\"15307776\"] \n  1 -> 18 [size =\"15307776\"]\n  1 -> 20 [size =\"15307776\"]\n  1 -> 23 [size =\"15307776\"]\n  1 -> 24 [size =\"15307776\"]\n  1 -> 25 [size =\"15307776\"]\n  1 -> 27 [size =\"15307776\"]\n  1 -> 28 [size =\"15307776\"]\n  2 [size=\"55618560\", alpha=\"0.15\", expect_size=\"22247424\"] \n  2 -> 19 [size =\"22247424\"]\n  2 -> 20 [size =\"22247424\"]\n  2 -> 21 [size =\"22247424\"]\n  2 -> 23 [size =\"22247424\"]\n  2 -> 25 [size =\"22247424\"]\n  2 -> 27 [size =\"22247424\"]\n  2 -> 35 [size =\"22247424\"]\n  3 [size=\"65917440\", alpha=\"0.11\", expect_size=\"26366976\"] \n  3 -> 19 [size =\"26366976\"]\n  3 -> 20 [size =\"26366976\"]\n  3 -> 24 [size =\"26366976\"]\n  3 -> 27 [size =\"26366976\"]\n  3 -> 29 [size =\"26366976\"]\n  3 -> 31 [size =\"26366976\"]\n  3 -> 32 [size =\"26366976\"]\n  3 -> 33 [size =\"26366976\"]\n  4 [size=\"123415040\", alpha=\"0.18\", expect_size=\"49366016\"] \n  4 -> 19 [size =\"49366016\"]\n  4 -> 20 [size =\"49366016\"]\n  4 -> 22 [size =\"49366016\"]\n  4 -> 24 [size =\"49366016\"]\n  4 -> 27 [size =\"49366016\"]\n  4 -> 28 [size =\"49366016\"]\n  4 -> 31 [size =\"49366016\"]\n  4 -> 32 [size =\"49366016\"]\n  4 -> 34 [size =\"49366016\"]\n  4 -> 35 [size =\"49366016\"]\n  5 [size=\"118499840\", alpha=\"0.18\", expect_size=\"47399936\"] \n  5 -> 18 [size =\"47399936\"]\n  5 -> 19 [size =\"47399936\"]\n  5 -> 20 [size =\"47399936\"]\n  5 -> 23 [size =\"47399936\"]\n  5 -> 24 [size =\"47399936\"]\n  5 -> 25 [size =\"47399936\"]\n  5 -> 27 [size =\"47399936\"]\n  5 -> 28 [size =\"47399936\"]\n  5 -> 29 [size =\"47399936\"]\n  5 -> 31 [size =\"47399936\"]\n  5 -> 32 [size =\"47399936\"]\n  5 -> 33 [size =\"47399936\"]\n  6 [size=\"33886720\", alpha=\"0.00\", expect_size=\"13554688\"] \n  6 -> 20 [size =\"13554688\"]\n  6 -> 22 [size =\"13554688\"]\n  6 -> 24 [size =\"13554688\"]\n  6 -> 25 [size =\"13554688\"]\n  6 -> 31 [size =\"13554688\"]\n  6 -> 32 [size =\"13554688\"]\n  6 -> 33 [size =\"13554688\"]\n  6 -> 35 [size =\"13554688\"]\n  7 [size=\"69626880\", alpha=\"0.05\", expect_size=\"27850752\"] \n  7 -> 22 [size =\"27850752\"]\n  7 -> 27 [size =\"27850752\"]\n  7 -> 32 [size =\"27850752\"]\n  7 -> 35 [size =\"27850752\"]\n  8 [size=\"39897600\", alpha=\"0.07\", expect_size=\"15959040\"] \n  8 -> 22 [size =\"15959040\"]\n  8 -> 24 [size =\"15959040\"]\n  8 -> 25 [size =\"15959040\"]\n  8 -> 27 [size =\"15959040\"]\n  8 -> 28 [size =\"15959040\"]\n  8 -> 29 [size =\"15959040\"]\n  8 -> 30 [size =\"15959040\"]\n  8 -> 31 [size =\"15959040\"]\n  8 -> 32 [size =\"15959040\"]\n  8 -> 35 [size =\"15959040\"]\n  9 [size=\"98063360\", alpha=\"0.18\", expect_size=\"39225344\"] \n  9 -> 20 [size =\"39225344\"]\n  9 -> 21 [size =\"39225344\"]\n  9 -> 23 [size =\"39225344\"]\n  9 -> 24 [size =\"39225344\"]\n  9 -> 31 [size =\"39225344\"]\n  9 -> 35 [size =\"39225344\"]\n  10 [size=\"76449280\", alpha=\"0.03\", expect_size=\"30579712\"] \n  10 -> 18 [size =\"30579712\"]\n  10 -> 20 [size =\"30579712\"]\n  10 -> 21 [size =\"30579712\"]\n  10 -> 23 [size =\"30579712\"]\n  10 -> 24 [size =\"30579712\"]\n  10 -> 28 [size =\"30579712\"]\n  10 -> 29 [size =\"30579712\"]\n  10 -> 31 [size =\"30579712\"]\n  10 -> 35 [size =\"30579712\"]\n  11 [size=\"130941440\", alpha=\"0.17\", expect_size=\"52376576\"] \n  11 -> 18 [size =\"52376576\"]\n  11 -> 20 [size =\"52376576\"]\n  11 -> 21 [size =\"52376576\"]\n  11 -> 23 [size =\"52376576\"]\n  11 -> 24 [size =\"52376576\"]\n  11 -> 29 [size =\"52376576\"]\n  11 -> 31 [size =\"52376576\"]\n  11 -> 31 [size =\"52376576\"]\n  11 -> 35 [size =\"52376576\"]\n  12 [size=\"79011840\", alpha=\"0.10\", expect_size=\"31604736\"] \n  12 -> 18 [size =\"31604736\"]\n  12 -> 23 [size =\"31604736\"]\n  12 -> 25 [size =\"31604736\"]\n  12 -> 26 [size =\"31604736\"]\n  12 -> 27 [size =\"31604736\"]\n  12 -> 29 [size =\"31604736\"]\n  12 -> 31 [size =\"31604736\"]\n  12 -> 32 [size =\"31604736\"]\n  12 -> 35 [size =\"31604736\"]\n  13 [size=\"49251840\", alpha=\"0.02\", expect_size=\"19700736\"] \n  13 -> 23 [size =\"19700736\"]\n  13 -> 24 [size =\"19700736\"]\n  13 -> 25 [size =\"19700736\"]\n  13 -> 27 [size =\"19700736\"]\n  13 -> 29 [size =\"19700736\"]\n  13 -> 31 [size =\"19700736\"]\n  13 -> 31 [size =\"19700736\"]\n  13 -> 35 [size =\"19700736\"]\n  14 [size=\"113766400\", alpha=\"0.16\", expect_size=\"45506560\"] \n  14 -> 23 [size =\"45506560\"]\n  14 -> 25 [size =\"45506560\"]\n  14 -> 27 [size =\"45506560\"]\n  14 -> 28 [size =\"45506560\"]\n  14 -> 29 [size =\"45506560\"]\n  14 -> 32 [size =\"45506560\"]\n  14 -> 33 [size =\"45506560\"]\n  14 -> 35 [size =\"45506560\"]\n  15 [size=\"104407040\", alpha=\"0.04\", expect_size=\"41762816\"] \n  15 -> 24 [size =\"41762816\"]\n  15 -> 25 [size =\"41762816\"]\n  15 -> 27 [size =\"41762816\"]\n  15 -> 28 [size =\"41762816\"]\n  15 -> 30 [size =\"41762816\"]\n  15 -> 32 [size =\"41762816\"]\n  15 -> 33 [size =\"41762816\"]\n  15 -> 34 [size =\"41762816\"]\n  16 [size=\"89679360\", alpha=\"0.01\", expect_size=\"35871744\"] \n  16 -> 18 [size =\"35871744\"]\n  16 -> 20 [size =\"35871744\"]\n  16 -> 24 [size =\"35871744\"]\n  16 -> 25 [size =\"35871744\"]\n  16 -> 28 [size =\"35871744\"]\n  16 -> 29 [size =\"35871744\"]\n  16 -> 30 [size =\"35871744\"]\n  16 -> 33 [size =\"35871744\"]\n  16 -> 35 [size =\"35871744\"]\n  17 [size=\"91791360\", alpha=\"0.04\", expect_size=\"36716544\"] \n  17 -> 21 [size =\"36716544\"]\n  17 -> 23 [size =\"36716544\"]\n  17 -> 25 [size =\"36716544\"]\n  17 -> 27 [size =\"36716544\"]\n  17 -> 28 [size =\"36716544\"]\n  18 [size=\"118896640\", alpha=\"0.18\", expect_size=\"47558656\"] \n  19 [size=\"44518400\", alpha=\"0.17\", expect_size=\"17807360\"] \n  20 [size=\"35502080\", alpha=\"0.16\", expect_size=\"14200832\"] \n  21 [size=\"53693440\", alpha=\"0.20\", expect_size=\"21477376\"] \n  22 [size=\"35368960\", alpha=\"0.11\", expect_size=\"14147584\"] \n  23 [size=\"92608000\", alpha=\"0.10\", expect_size=\"37043200\"] \n  24 [size=\"105740800\", alpha=\"0.09\", expect_size=\"42296320\"] \n  25 [size=\"80614400\", alpha=\"0.05\", expect_size=\"32245760\"] \n  26 [size=\"103188480\", alpha=\"0.05\", expect_size=\"41275392\"] \n  27 [size=\"106260480\", alpha=\"0.14\", expect_size=\"42504192\"] \n  28 [size=\"14686720\", alpha=\"0.08\", expect_size=\"5874688\"] \n  29 [size=\"120007680\", alpha=\"0.17\", expect_size=\"48003072\"] \n  30 [size=\"102791680\", alpha=\"0.16\", expect_size=\"41116672\"] \n  31 [size=\"81338880\", alpha=\"0.15\", expect_size=\"32535552\"] \n  32 [size=\"80814080\", alpha=\"0.05\", expect_size=\"32325632\"] \n  33 [size=\"25761280\", alpha=\"0.01\", expect_size=\"10304512\"] \n  34 [size=\"86960640\", alpha=\"0.15\", expect_size=\"34784256\"] \n  35 [size=\"20823040\", alpha=\"0.04\", expect_size=\"8329216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94384128\", alpha=\"0.15\", expect_size=\"47192064\"] \n  1 -> 2 [size =\"47192064\"]\n  2 [size=\"32002048\", alpha=\"0.11\", expect_size=\"16001024\"] \n  2 -> 3 [size =\"16001024\"]\n  3 [size=\"38340608\", alpha=\"0.11\", expect_size=\"19170304\"] \n  3 -> 4 [size =\"19170304\"]\n  4 [size=\"40761344\", alpha=\"0.07\", expect_size=\"20380672\"] \n  4 -> 5 [size =\"20380672\"]\n  5 [size=\"63401984\", alpha=\"0.01\", expect_size=\"31700992\"] \n  5 -> 6 [size =\"31700992\"]\n  6 [size=\"95801344\", alpha=\"0.18\", expect_size=\"47900672\"] \n  6 -> 7 [size =\"47900672\"]\n  7 [size=\"14381056\", alpha=\"0.10\", expect_size=\"7190528\"] \n  7 -> 8 [size =\"7190528\"]\n  8 [size=\"45533184\", alpha=\"0.17\", expect_size=\"22766592\"] \n  8 -> 9 [size =\"22766592\"]\n  9 [size=\"103172096\", alpha=\"0.01\", expect_size=\"51586048\"] \n  9 -> 10 [size =\"51586048\"]\n  10 [size=\"61491200\", alpha=\"0.02\", expect_size=\"30745600\"] \n  10 -> 11 [size =\"30745600\"]\n  11 [size=\"98220032\", alpha=\"0.08\", expect_size=\"49110016\"] \n  11 -> 12 [size =\"49110016\"]\n  12 [size=\"74819584\", alpha=\"0.16\", expect_size=\"37409792\"] \n  12 -> 13 [size =\"37409792\"]\n  13 [size=\"32149504\", alpha=\"0.09\", expect_size=\"16074752\"] \n  13 -> 14 [size =\"16074752\"]\n  14 [size=\"81856512\", alpha=\"0.09\", expect_size=\"40928256\"] \n  14 -> 15 [size =\"40928256\"]\n  15 [size=\"20617216\", alpha=\"0.14\", expect_size=\"10308608\"] \n  15 -> 16 [size =\"10308608\"]\n  16 [size=\"27541504\", alpha=\"0.11\", expect_size=\"13770752\"] \n  16 -> 17 [size =\"13770752\"]\n  17 [size=\"16326656\", alpha=\"0.08\", expect_size=\"8163328\"] \n  17 -> 18 [size =\"8163328\"]\n  18 [size=\"64620544\", alpha=\"0.17\", expect_size=\"32310272\"] \n  18 -> 19 [size =\"32310272\"]\n  19 [size=\"52070400\", alpha=\"0.00\", expect_size=\"26035200\"] \n  19 -> 20 [size =\"26035200\"]\n  20 [size=\"58406912\", alpha=\"0.13\", expect_size=\"29203456\"] \n  20 -> 21 [size =\"29203456\"]\n  21 [size=\"66615296\", alpha=\"0.02\", expect_size=\"33307648\"] \n  21 -> 22 [size =\"33307648\"]\n  22 [size=\"10960896\", alpha=\"0.17\", expect_size=\"5480448\"] \n  22 -> 23 [size =\"5480448\"]\n  23 [size=\"85889024\", alpha=\"0.17\", expect_size=\"42944512\"] \n  23 -> 24 [size =\"42944512\"]\n  24 [size=\"32919552\", alpha=\"0.04\", expect_size=\"16459776\"] \n  24 -> 25 [size =\"16459776\"]\n  25 [size=\"76591104\", alpha=\"0.02\", expect_size=\"38295552\"] \n  25 -> 26 [size =\"38295552\"]\n  26 [size=\"47779840\", alpha=\"0.19\", expect_size=\"23889920\"] \n  26 -> 27 [size =\"23889920\"]\n  27 [size=\"100093952\", alpha=\"0.16\", expect_size=\"50046976\"] \n  27 -> 28 [size =\"50046976\"]\n  28 [size=\"42334208\", alpha=\"0.20\", expect_size=\"21167104\"] \n  28 -> 29 [size =\"21167104\"]\n  29 [size=\"29749248\", alpha=\"0.04\", expect_size=\"14874624\"] \n  29 -> 30 [size =\"14874624\"]\n  30 [size=\"31291392\", alpha=\"0.19\", expect_size=\"15645696\"] \n  30 -> 31 [size =\"15645696\"]\n  31 [size=\"90378240\", alpha=\"0.12\", expect_size=\"45189120\"] \n  31 -> 32 [size =\"45189120\"]\n  32 [size=\"102162432\", alpha=\"0.19\", expect_size=\"51081216\"] \n  32 -> 33 [size =\"51081216\"]\n  33 [size=\"88164352\", alpha=\"0.11\", expect_size=\"44082176\"] \n  33 -> 34 [size =\"44082176\"]\n  34 [size=\"76240896\", alpha=\"0.18\", expect_size=\"38120448\"] \n  34 -> 35 [size =\"38120448\"]\n  35 [size=\"96665600\", alpha=\"0.07\", expect_size=\"48332800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34007040\", alpha=\"0.01\", expect_size=\"17003520\"] \n  1 -> 2 [size =\"17003520\"]\n  2 [size=\"75141120\", alpha=\"0.01\", expect_size=\"37570560\"] \n  2 -> 3 [size =\"37570560\"]\n  3 [size=\"84033536\", alpha=\"0.16\", expect_size=\"42016768\"] \n  3 -> 4 [size =\"42016768\"]\n  4 [size=\"97132544\", alpha=\"0.02\", expect_size=\"48566272\"] \n  4 -> 5 [size =\"48566272\"]\n  5 [size=\"13574144\", alpha=\"0.14\", expect_size=\"6787072\"] \n  5 -> 6 [size =\"6787072\"]\n  6 [size=\"30617600\", alpha=\"0.03\", expect_size=\"15308800\"] \n  6 -> 7 [size =\"15308800\"]\n  7 [size=\"83384320\", alpha=\"0.05\", expect_size=\"41692160\"] \n  7 -> 8 [size =\"41692160\"]\n  8 [size=\"65280000\", alpha=\"0.10\", expect_size=\"32640000\"] \n  8 -> 9 [size =\"32640000\"]\n  9 [size=\"95391744\", alpha=\"0.20\", expect_size=\"47695872\"] \n  9 -> 10 [size =\"47695872\"]\n  10 [size=\"47067136\", alpha=\"0.17\", expect_size=\"23533568\"] \n  10 -> 11 [size =\"23533568\"]\n  11 [size=\"90904576\", alpha=\"0.00\", expect_size=\"45452288\"] \n  11 -> 12 [size =\"45452288\"]\n  12 [size=\"96194560\", alpha=\"0.07\", expect_size=\"48097280\"] \n  12 -> 13 [size =\"48097280\"]\n  13 [size=\"98957312\", alpha=\"0.05\", expect_size=\"49478656\"] \n  13 -> 14 [size =\"49478656\"]\n  14 [size=\"82018304\", alpha=\"0.01\", expect_size=\"41009152\"] \n  14 -> 15 [size =\"41009152\"]\n  15 [size=\"89184256\", alpha=\"0.12\", expect_size=\"44592128\"] \n  15 -> 16 [size =\"44592128\"]\n  16 [size=\"60780544\", alpha=\"0.19\", expect_size=\"30390272\"] \n  16 -> 17 [size =\"30390272\"]\n  17 [size=\"73302016\", alpha=\"0.10\", expect_size=\"36651008\"] \n  17 -> 18 [size =\"36651008\"]\n  18 [size=\"96274432\", alpha=\"0.03\", expect_size=\"48137216\"] \n  18 -> 19 [size =\"48137216\"]\n  19 [size=\"50503680\", alpha=\"0.03\", expect_size=\"25251840\"] \n  19 -> 20 [size =\"25251840\"]\n  20 [size=\"48386048\", alpha=\"0.12\", expect_size=\"24193024\"] \n  20 -> 21 [size =\"24193024\"]\n  21 [size=\"36227072\", alpha=\"0.05\", expect_size=\"18113536\"] \n  21 -> 22 [size =\"18113536\"]\n  22 [size=\"37830656\", alpha=\"0.13\", expect_size=\"18915328\"] \n  22 -> 23 [size =\"18915328\"]\n  23 [size=\"70172672\", alpha=\"0.16\", expect_size=\"35086336\"] \n  23 -> 24 [size =\"35086336\"]\n  24 [size=\"95031296\", alpha=\"0.17\", expect_size=\"47515648\"] \n  24 -> 25 [size =\"47515648\"]\n  25 [size=\"100558848\", alpha=\"0.19\", expect_size=\"50279424\"] \n  25 -> 26 [size =\"50279424\"]\n  26 [size=\"63221760\", alpha=\"0.05\", expect_size=\"31610880\"] \n  26 -> 27 [size =\"31610880\"]\n  27 [size=\"57499648\", alpha=\"0.07\", expect_size=\"28749824\"] \n  27 -> 28 [size =\"28749824\"]\n  28 [size=\"11290624\", alpha=\"0.20\", expect_size=\"5645312\"] \n  28 -> 29 [size =\"5645312\"]\n  29 [size=\"27275264\", alpha=\"0.11\", expect_size=\"13637632\"] \n  29 -> 30 [size =\"13637632\"]\n  30 [size=\"41869312\", alpha=\"0.10\", expect_size=\"20934656\"] \n  30 -> 31 [size =\"20934656\"]\n  31 [size=\"97202176\", alpha=\"0.06\", expect_size=\"48601088\"] \n  31 -> 32 [size =\"48601088\"]\n  32 [size=\"28049408\", alpha=\"0.00\", expect_size=\"14024704\"] \n  32 -> 33 [size =\"14024704\"]\n  33 [size=\"87814144\", alpha=\"0.13\", expect_size=\"43907072\"] \n  33 -> 34 [size =\"43907072\"]\n  34 [size=\"66926592\", alpha=\"0.01\", expect_size=\"33463296\"] \n  34 -> 35 [size =\"33463296\"]\n  35 [size=\"52037632\", alpha=\"0.06\", expect_size=\"26018816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22456320\", alpha=\"0.13\", expect_size=\"6736896\"] \n  1 -> 23 [size =\"6736896\"]\n  1 -> 24 [size =\"6736896\"]\n  1 -> 30 [size =\"6736896\"]\n  1 -> 34 [size =\"6736896\"]\n  2 [size=\"47083520\", alpha=\"0.00\", expect_size=\"14125056\"] \n  2 -> 23 [size =\"14125056\"]\n  2 -> 24 [size =\"14125056\"]\n  2 -> 28 [size =\"14125056\"]\n  2 -> 33 [size =\"14125056\"]\n  3 [size=\"140800000\", alpha=\"0.02\", expect_size=\"42240000\"] \n  3 -> 33 [size =\"42240000\"]\n  4 [size=\"160686080\", alpha=\"0.15\", expect_size=\"48205824\"] \n  4 -> 23 [size =\"48205824\"]\n  4 -> 28 [size =\"48205824\"]\n  5 [size=\"72161280\", alpha=\"0.19\", expect_size=\"21648384\"] \n  5 -> 24 [size =\"21648384\"]\n  5 -> 25 [size =\"21648384\"]\n  5 -> 28 [size =\"21648384\"]\n  5 -> 33 [size =\"21648384\"]\n  5 -> 34 [size =\"21648384\"]\n  6 [size=\"59477333\", alpha=\"0.20\", expect_size=\"17843200\"] \n  6 -> 26 [size =\"17843200\"]\n  6 -> 27 [size =\"17843200\"]\n  6 -> 28 [size =\"17843200\"]\n  6 -> 32 [size =\"17843200\"]\n  7 [size=\"162061653\", alpha=\"0.09\", expect_size=\"48618496\"] \n  7 -> 23 [size =\"48618496\"]\n  7 -> 32 [size =\"48618496\"]\n  8 [size=\"168540160\", alpha=\"0.15\", expect_size=\"50562048\"] \n  8 -> 28 [size =\"50562048\"]\n  8 -> 33 [size =\"50562048\"]\n  9 [size=\"93921280\", alpha=\"0.10\", expect_size=\"28176384\"] \n  9 -> 24 [size =\"28176384\"]\n  9 -> 25 [size =\"28176384\"]\n  9 -> 26 [size =\"28176384\"]\n  9 -> 27 [size =\"28176384\"]\n  9 -> 31 [size =\"28176384\"]\n  9 -> 33 [size =\"28176384\"]\n  10 [size=\"163413333\", alpha=\"0.17\", expect_size=\"49024000\"] \n  10 -> 24 [size =\"49024000\"]\n  10 -> 26 [size =\"49024000\"]\n  11 [size=\"154118827\", alpha=\"0.09\", expect_size=\"46235648\"] \n  11 -> 32 [size =\"46235648\"]\n  12 [size=\"101331627\", alpha=\"0.06\", expect_size=\"30399488\"] \n  12 -> 24 [size =\"30399488\"]\n  12 -> 29 [size =\"30399488\"]\n  12 -> 35 [size =\"30399488\"]\n  13 [size=\"104188587\", alpha=\"0.08\", expect_size=\"31256576\"] \n  13 -> 25 [size =\"31256576\"]\n  14 [size=\"120528213\", alpha=\"0.20\", expect_size=\"36158464\"] \n  14 -> 23 [size =\"36158464\"]\n  14 -> 24 [size =\"36158464\"]\n  14 -> 31 [size =\"36158464\"]\n  14 -> 33 [size =\"36158464\"]\n  14 -> 35 [size =\"36158464\"]\n  15 [size=\"78277973\", alpha=\"0.03\", expect_size=\"23483392\"] \n  15 -> 24 [size =\"23483392\"]\n  15 -> 30 [size =\"23483392\"]\n  15 -> 33 [size =\"23483392\"]\n  15 -> 35 [size =\"23483392\"]\n  16 [size=\"72731307\", alpha=\"0.03\", expect_size=\"21819392\"] \n  16 -> 26 [size =\"21819392\"]\n  16 -> 28 [size =\"21819392\"]\n  17 [size=\"70980267\", alpha=\"0.14\", expect_size=\"21294080\"] \n  17 -> 23 [size =\"21294080\"]\n  17 -> 28 [size =\"21294080\"]\n  17 -> 33 [size =\"21294080\"]\n  17 -> 34 [size =\"21294080\"]\n  18 [size=\"141219840\", alpha=\"0.15\", expect_size=\"42365952\"] \n  18 -> 24 [size =\"42365952\"]\n  18 -> 27 [size =\"42365952\"]\n  18 -> 28 [size =\"42365952\"]\n  18 -> 31 [size =\"42365952\"]\n  19 [size=\"101154133\", alpha=\"0.08\", expect_size=\"30346240\"] \n  19 -> 24 [size =\"30346240\"]\n  19 -> 26 [size =\"30346240\"]\n  19 -> 29 [size =\"30346240\"]\n  20 [size=\"19176107\", alpha=\"0.01\", expect_size=\"5752832\"] \n  20 -> 24 [size =\"5752832\"]\n  20 -> 30 [size =\"5752832\"]\n  21 [size=\"154419200\", alpha=\"0.15\", expect_size=\"46325760\"] \n  21 -> 29 [size =\"46325760\"]\n  21 -> 33 [size =\"46325760\"]\n  22 [size=\"71260160\", alpha=\"0.13\", expect_size=\"21378048\"] \n  22 -> 23 [size =\"21378048\"]\n  22 -> 27 [size =\"21378048\"]\n  22 -> 33 [size =\"21378048\"]\n  22 -> 34 [size =\"21378048\"]\n  23 [size=\"115073707\", alpha=\"0.06\", expect_size=\"34522112\"] \n  24 [size=\"22862507\", alpha=\"0.18\", expect_size=\"6858752\"] \n  25 [size=\"22685013\", alpha=\"0.17\", expect_size=\"6805504\"] \n  26 [size=\"48384000\", alpha=\"0.01\", expect_size=\"14515200\"] \n  27 [size=\"73690453\", alpha=\"0.03\", expect_size=\"22107136\"] \n  28 [size=\"24763733\", alpha=\"0.05\", expect_size=\"7429120\"] \n  29 [size=\"141499733\", alpha=\"0.16\", expect_size=\"42449920\"] \n  30 [size=\"44765867\", alpha=\"0.06\", expect_size=\"13429760\"] \n  31 [size=\"53572267\", alpha=\"0.13\", expect_size=\"16071680\"] \n  32 [size=\"172905813\", alpha=\"0.11\", expect_size=\"51871744\"] \n  33 [size=\"117797547\", alpha=\"0.00\", expect_size=\"35339264\"] \n  34 [size=\"168864427\", alpha=\"0.02\", expect_size=\"50659328\"] \n  35 [size=\"154736640\", alpha=\"0.12\", expect_size=\"46420992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16153600\", alpha=\"0.00\", expect_size=\"6461440\"] \n  1 -> 12 [size =\"6461440\"]\n  1 -> 17 [size =\"6461440\"]\n  2 [size=\"24942080\", alpha=\"0.16\", expect_size=\"9976832\"] \n  2 -> 10 [size =\"9976832\"]\n  2 -> 12 [size =\"9976832\"]\n  2 -> 15 [size =\"9976832\"]\n  2 -> 16 [size =\"9976832\"]\n  2 -> 19 [size =\"9976832\"]\n  3 [size=\"85468160\", alpha=\"0.17\", expect_size=\"34187264\"] \n  3 -> 10 [size =\"34187264\"]\n  3 -> 11 [size =\"34187264\"]\n  3 -> 12 [size =\"34187264\"]\n  3 -> 14 [size =\"34187264\"]\n  3 -> 15 [size =\"34187264\"]\n  3 -> 17 [size =\"34187264\"]\n  3 -> 19 [size =\"34187264\"]\n  4 [size=\"110269440\", alpha=\"0.11\", expect_size=\"44107776\"] \n  4 -> 10 [size =\"44107776\"]\n  4 -> 12 [size =\"44107776\"]\n  4 -> 13 [size =\"44107776\"]\n  4 -> 15 [size =\"44107776\"]\n  4 -> 19 [size =\"44107776\"]\n  5 [size=\"50199040\", alpha=\"0.07\", expect_size=\"20079616\"] \n  5 -> 10 [size =\"20079616\"]\n  5 -> 12 [size =\"20079616\"]\n  5 -> 15 [size =\"20079616\"]\n  5 -> 19 [size =\"20079616\"]\n  6 [size=\"48056320\", alpha=\"0.02\", expect_size=\"19222528\"] \n  6 -> 10 [size =\"19222528\"]\n  6 -> 12 [size =\"19222528\"]\n  6 -> 14 [size =\"19222528\"]\n  6 -> 15 [size =\"19222528\"]\n  6 -> 19 [size =\"19222528\"]\n  7 [size=\"52331520\", alpha=\"0.10\", expect_size=\"20932608\"] \n  7 -> 10 [size =\"20932608\"]\n  7 -> 14 [size =\"20932608\"]\n  7 -> 18 [size =\"20932608\"]\n  7 -> 19 [size =\"20932608\"]\n  7 -> 19 [size =\"20932608\"]\n  8 [size=\"93327360\", alpha=\"0.10\", expect_size=\"37330944\"] \n  8 -> 10 [size =\"37330944\"]\n  8 -> 12 [size =\"37330944\"]\n  8 -> 13 [size =\"37330944\"]\n  8 -> 15 [size =\"37330944\"]\n  8 -> 17 [size =\"37330944\"]\n  8 -> 18 [size =\"37330944\"]\n  8 -> 19 [size =\"37330944\"]\n  9 [size=\"29020160\", alpha=\"0.07\", expect_size=\"11608064\"] \n  9 -> 10 [size =\"11608064\"]\n  9 -> 11 [size =\"11608064\"]\n  9 -> 13 [size =\"11608064\"]\n  9 -> 14 [size =\"11608064\"]\n  9 -> 15 [size =\"11608064\"]\n  10 [size=\"39810560\", alpha=\"0.20\", expect_size=\"15924224\"] \n  10 -> 21 [size =\"15924224\"]\n  10 -> 23 [size =\"15924224\"]\n  10 -> 24 [size =\"15924224\"]\n  10 -> 26 [size =\"15924224\"]\n  10 -> 27 [size =\"15924224\"]\n  11 [size=\"68582400\", alpha=\"0.02\", expect_size=\"27432960\"] \n  11 -> 21 [size =\"27432960\"]\n  11 -> 27 [size =\"27432960\"]\n  11 -> 28 [size =\"27432960\"]\n  12 [size=\"70927360\", alpha=\"0.10\", expect_size=\"28370944\"] \n  12 -> 22 [size =\"28370944\"]\n  12 -> 23 [size =\"28370944\"]\n  12 -> 25 [size =\"28370944\"]\n  12 -> 27 [size =\"28370944\"]\n  12 -> 28 [size =\"28370944\"]\n  12 -> 29 [size =\"28370944\"]\n  12 -> 30 [size =\"28370944\"]\n  13 [size=\"46512640\", alpha=\"0.14\", expect_size=\"18605056\"] \n  13 -> 21 [size =\"18605056\"]\n  13 -> 22 [size =\"18605056\"]\n  13 -> 23 [size =\"18605056\"]\n  14 [size=\"31628800\", alpha=\"0.01\", expect_size=\"12651520\"] \n  14 -> 20 [size =\"12651520\"]\n  14 -> 23 [size =\"12651520\"]\n  14 -> 23 [size =\"12651520\"]\n  14 -> 25 [size =\"12651520\"]\n  14 -> 26 [size =\"12651520\"]\n  14 -> 28 [size =\"12651520\"]\n  14 -> 31 [size =\"12651520\"]\n  15 [size=\"98503680\", alpha=\"0.06\", expect_size=\"39401472\"] \n  15 -> 20 [size =\"39401472\"]\n  15 -> 21 [size =\"39401472\"]\n  15 -> 26 [size =\"39401472\"]\n  15 -> 27 [size =\"39401472\"]\n  15 -> 29 [size =\"39401472\"]\n  15 -> 30 [size =\"39401472\"]\n  16 [size=\"23441920\", alpha=\"0.07\", expect_size=\"9376768\"] \n  16 -> 20 [size =\"9376768\"]\n  16 -> 23 [size =\"9376768\"]\n  16 -> 25 [size =\"9376768\"]\n  16 -> 29 [size =\"9376768\"]\n  17 [size=\"36664320\", alpha=\"0.11\", expect_size=\"14665728\"] \n  17 -> 20 [size =\"14665728\"]\n  17 -> 21 [size =\"14665728\"]\n  17 -> 26 [size =\"14665728\"]\n  17 -> 28 [size =\"14665728\"]\n  17 -> 29 [size =\"14665728\"]\n  17 -> 30 [size =\"14665728\"]\n  18 [size=\"93665280\", alpha=\"0.08\", expect_size=\"37466112\"] \n  18 -> 21 [size =\"37466112\"]\n  18 -> 21 [size =\"37466112\"]\n  18 -> 22 [size =\"37466112\"]\n  18 -> 26 [size =\"37466112\"]\n  18 -> 28 [size =\"37466112\"]\n  18 -> 29 [size =\"37466112\"]\n  18 -> 30 [size =\"37466112\"]\n  19 [size=\"34534400\", alpha=\"0.09\", expect_size=\"13813760\"] \n  19 -> 21 [size =\"13813760\"]\n  19 -> 23 [size =\"13813760\"]\n  19 -> 25 [size =\"13813760\"]\n  19 -> 26 [size =\"13813760\"]\n  19 -> 30 [size =\"13813760\"]\n  20 [size=\"77137920\", alpha=\"0.14\", expect_size=\"30855168\"] \n  20 -> 33 [size =\"30855168\"]\n  20 -> 35 [size =\"30855168\"]\n  21 [size=\"75957760\", alpha=\"0.01\", expect_size=\"30383104\"] \n  21 -> 34 [size =\"30383104\"]\n  21 -> 35 [size =\"30383104\"]\n  22 [size=\"88977920\", alpha=\"0.09\", expect_size=\"35591168\"] \n  22 -> 34 [size =\"35591168\"]\n  22 -> 35 [size =\"35591168\"]\n  23 [size=\"29319680\", alpha=\"0.09\", expect_size=\"11727872\"] \n  23 -> 34 [size =\"11727872\"]\n  23 -> 35 [size =\"11727872\"]\n  24 [size=\"113728000\", alpha=\"0.06\", expect_size=\"45491200\"] \n  24 -> 34 [size =\"45491200\"]\n  24 -> 35 [size =\"45491200\"]\n  25 [size=\"117411840\", alpha=\"0.09\", expect_size=\"46964736\"] \n  25 -> 34 [size =\"46964736\"]\n  26 [size=\"35909120\", alpha=\"0.19\", expect_size=\"14363648\"] \n  26 -> 34 [size =\"14363648\"]\n  26 -> 35 [size =\"14363648\"]\n  27 [size=\"77480960\", alpha=\"0.14\", expect_size=\"30992384\"] \n  27 -> 33 [size =\"30992384\"]\n  27 -> 34 [size =\"30992384\"]\n  28 [size=\"22151680\", alpha=\"0.04\", expect_size=\"8860672\"] \n  28 -> 34 [size =\"8860672\"]\n  28 -> 35 [size =\"8860672\"]\n  29 [size=\"70330880\", alpha=\"0.16\", expect_size=\"28132352\"] \n  29 -> 32 [size =\"28132352\"]\n  29 -> 34 [size =\"28132352\"]\n  29 -> 35 [size =\"28132352\"]\n  30 [size=\"121187840\", alpha=\"0.13\", expect_size=\"48475136\"] \n  30 -> 33 [size =\"48475136\"]\n  30 -> 34 [size =\"48475136\"]\n  31 [size=\"87595520\", alpha=\"0.19\", expect_size=\"35038208\"] \n  31 -> 34 [size =\"35038208\"]\n  32 [size=\"90567680\", alpha=\"0.14\", expect_size=\"36227072\"] \n  33 [size=\"23976960\", alpha=\"0.16\", expect_size=\"9590784\"] \n  34 [size=\"78151680\", alpha=\"0.01\", expect_size=\"31260672\"] \n  35 [size=\"114321920\", alpha=\"0.20\", expect_size=\"45728768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30771200\", alpha=\"0.04\", expect_size=\"12308480\"] \n  1 -> 5 [size =\"12308480\"]\n  2 [size=\"65953280\", alpha=\"0.00\", expect_size=\"26381312\"] \n  2 -> 5 [size =\"26381312\"]\n  3 [size=\"95976960\", alpha=\"0.06\", expect_size=\"38390784\"] \n  3 -> 5 [size =\"38390784\"]\n  4 [size=\"30763520\", alpha=\"0.15\", expect_size=\"12305408\"] \n  4 -> 5 [size =\"12305408\"]\n  4 -> 6 [size =\"12305408\"]\n  5 [size=\"45393920\", alpha=\"0.10\", expect_size=\"18157568\"] \n  5 -> 7 [size =\"18157568\"]\n  5 -> 8 [size =\"18157568\"]\n  5 -> 9 [size =\"18157568\"]\n  5 -> 10 [size =\"18157568\"]\n  5 -> 11 [size =\"18157568\"]\n  5 -> 12 [size =\"18157568\"]\n  6 [size=\"93455360\", alpha=\"0.19\", expect_size=\"37382144\"] \n  6 -> 7 [size =\"37382144\"]\n  6 -> 8 [size =\"37382144\"]\n  6 -> 9 [size =\"37382144\"]\n  6 -> 10 [size =\"37382144\"]\n  6 -> 12 [size =\"37382144\"]\n  7 [size=\"115816960\", alpha=\"0.03\", expect_size=\"46326784\"] \n  7 -> 13 [size =\"46326784\"]\n  7 -> 14 [size =\"46326784\"]\n  7 -> 15 [size =\"46326784\"]\n  8 [size=\"35366400\", alpha=\"0.18\", expect_size=\"14146560\"] \n  8 -> 13 [size =\"14146560\"]\n  9 [size=\"82053120\", alpha=\"0.19\", expect_size=\"32821248\"] \n  9 -> 13 [size =\"32821248\"]\n  9 -> 15 [size =\"32821248\"]\n  10 [size=\"53248000\", alpha=\"0.20\", expect_size=\"21299200\"] \n  10 -> 13 [size =\"21299200\"]\n  10 -> 16 [size =\"21299200\"]\n  11 [size=\"50759680\", alpha=\"0.01\", expect_size=\"20303872\"] \n  11 -> 16 [size =\"20303872\"]\n  12 [size=\"73902080\", alpha=\"0.17\", expect_size=\"29560832\"] \n  12 -> 13 [size =\"29560832\"]\n  12 -> 15 [size =\"29560832\"]\n  12 -> 16 [size =\"29560832\"]\n  13 [size=\"75041280\", alpha=\"0.14\", expect_size=\"30016512\"] \n  13 -> 18 [size =\"30016512\"]\n  14 [size=\"107860480\", alpha=\"0.08\", expect_size=\"43144192\"] \n  14 -> 20 [size =\"43144192\"]\n  15 [size=\"78848000\", alpha=\"0.17\", expect_size=\"31539200\"] \n  16 [size=\"17781760\", alpha=\"0.14\", expect_size=\"7112704\"] \n  16 -> 17 [size =\"7112704\"]\n  16 -> 19 [size =\"7112704\"]\n  17 [size=\"128353280\", alpha=\"0.18\", expect_size=\"51341312\"] \n  17 -> 21 [size =\"51341312\"]\n  17 -> 22 [size =\"51341312\"]\n  18 [size=\"28062720\", alpha=\"0.04\", expect_size=\"11225088\"] \n  18 -> 21 [size =\"11225088\"]\n  18 -> 22 [size =\"11225088\"]\n  19 [size=\"15639040\", alpha=\"0.18\", expect_size=\"6255616\"] \n  19 -> 21 [size =\"6255616\"]\n  19 -> 22 [size =\"6255616\"]\n  20 [size=\"130004480\", alpha=\"0.17\", expect_size=\"52001792\"] \n  20 -> 21 [size =\"52001792\"]\n  21 [size=\"127595520\", alpha=\"0.18\", expect_size=\"51038208\"] \n  21 -> 23 [size =\"51038208\"]\n  21 -> 24 [size =\"51038208\"]\n  21 -> 25 [size =\"51038208\"]\n  21 -> 26 [size =\"51038208\"]\n  21 -> 27 [size =\"51038208\"]\n  21 -> 28 [size =\"51038208\"]\n  22 [size=\"14679040\", alpha=\"0.08\", expect_size=\"5871616\"] \n  22 -> 23 [size =\"5871616\"]\n  22 -> 24 [size =\"5871616\"]\n  22 -> 25 [size =\"5871616\"]\n  22 -> 26 [size =\"5871616\"]\n  22 -> 27 [size =\"5871616\"]\n  22 -> 28 [size =\"5871616\"]\n  23 [size=\"116528640\", alpha=\"0.12\", expect_size=\"46611456\"] \n  23 -> 30 [size =\"46611456\"]\n  23 -> 31 [size =\"46611456\"]\n  24 [size=\"80619520\", alpha=\"0.20\", expect_size=\"32247808\"] \n  24 -> 30 [size =\"32247808\"]\n  24 -> 31 [size =\"32247808\"]\n  25 [size=\"129510400\", alpha=\"0.12\", expect_size=\"51804160\"] \n  25 -> 29 [size =\"51804160\"]\n  25 -> 31 [size =\"51804160\"]\n  26 [size=\"114421760\", alpha=\"0.19\", expect_size=\"45768704\"] \n  26 -> 29 [size =\"45768704\"]\n  26 -> 30 [size =\"45768704\"]\n  26 -> 31 [size =\"45768704\"]\n  27 [size=\"80563200\", alpha=\"0.02\", expect_size=\"32225280\"] \n  27 -> 30 [size =\"32225280\"]\n  27 -> 31 [size =\"32225280\"]\n  28 [size=\"70630400\", alpha=\"0.10\", expect_size=\"28252160\"] \n  28 -> 30 [size =\"28252160\"]\n  28 -> 31 [size =\"28252160\"]\n  29 [size=\"96151040\", alpha=\"0.09\", expect_size=\"38460416\"] \n  29 -> 32 [size =\"38460416\"]\n  29 -> 33 [size =\"38460416\"]\n  30 [size=\"87065600\", alpha=\"0.15\", expect_size=\"34826240\"] \n  30 -> 32 [size =\"34826240\"]\n  31 [size=\"67548160\", alpha=\"0.07\", expect_size=\"27019264\"] \n  31 -> 32 [size =\"27019264\"]\n  32 [size=\"55257600\", alpha=\"0.10\", expect_size=\"22103040\"] \n  32 -> 35 [size =\"22103040\"]\n  33 [size=\"103042560\", alpha=\"0.03\", expect_size=\"41217024\"] \n  33 -> 34 [size =\"41217024\"]\n  33 -> 35 [size =\"41217024\"]\n  34 [size=\"57848320\", alpha=\"0.13\", expect_size=\"23139328\"] \n  35 [size=\"55296000\", alpha=\"0.13\", expect_size=\"22118400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116846080\", alpha=\"0.11\", expect_size=\"46738432\"] \n  1 -> 3 [size =\"46738432\"]\n  1 -> 4 [size =\"46738432\"]\n  1 -> 5 [size =\"46738432\"]\n  1 -> 6 [size =\"46738432\"]\n  2 [size=\"47884800\", alpha=\"0.11\", expect_size=\"19153920\"] \n  2 -> 6 [size =\"19153920\"]\n  3 [size=\"113397760\", alpha=\"0.09\", expect_size=\"45359104\"] \n  3 -> 9 [size =\"45359104\"]\n  4 [size=\"54525440\", alpha=\"0.13\", expect_size=\"21810176\"] \n  4 -> 7 [size =\"21810176\"]\n  4 -> 8 [size =\"21810176\"]\n  4 -> 9 [size =\"21810176\"]\n  4 -> 10 [size =\"21810176\"]\n  5 [size=\"93928960\", alpha=\"0.12\", expect_size=\"37571584\"] \n  5 -> 7 [size =\"37571584\"]\n  5 -> 9 [size =\"37571584\"]\n  5 -> 10 [size =\"37571584\"]\n  6 [size=\"100764160\", alpha=\"0.01\", expect_size=\"40305664\"] \n  7 [size=\"108656640\", alpha=\"0.01\", expect_size=\"43462656\"] \n  7 -> 11 [size =\"43462656\"]\n  8 [size=\"40263680\", alpha=\"0.02\", expect_size=\"16105472\"] \n  8 -> 11 [size =\"16105472\"]\n  8 -> 12 [size =\"16105472\"]\n  9 [size=\"72079360\", alpha=\"0.11\", expect_size=\"28831744\"] \n  9 -> 11 [size =\"28831744\"]\n  10 [size=\"106263040\", alpha=\"0.14\", expect_size=\"42505216\"] \n  11 [size=\"66449920\", alpha=\"0.14\", expect_size=\"26579968\"] \n  11 -> 13 [size =\"26579968\"]\n  11 -> 14 [size =\"26579968\"]\n  11 -> 15 [size =\"26579968\"]\n  12 [size=\"130647040\", alpha=\"0.03\", expect_size=\"52258816\"] \n  12 -> 13 [size =\"52258816\"]\n  12 -> 14 [size =\"52258816\"]\n  12 -> 15 [size =\"52258816\"]\n  13 [size=\"78389760\", alpha=\"0.16\", expect_size=\"31355904\"] \n  13 -> 16 [size =\"31355904\"]\n  13 -> 17 [size =\"31355904\"]\n  14 [size=\"15040000\", alpha=\"0.03\", expect_size=\"6016000\"] \n  14 -> 17 [size =\"6016000\"]\n  15 [size=\"93716480\", alpha=\"0.11\", expect_size=\"37486592\"] \n  16 [size=\"49477120\", alpha=\"0.17\", expect_size=\"19790848\"] \n  16 -> 18 [size =\"19790848\"]\n  16 -> 19 [size =\"19790848\"]\n  16 -> 21 [size =\"19790848\"]\n  17 [size=\"53959680\", alpha=\"0.14\", expect_size=\"21583872\"] \n  17 -> 18 [size =\"21583872\"]\n  17 -> 19 [size =\"21583872\"]\n  17 -> 20 [size =\"21583872\"]\n  17 -> 21 [size =\"21583872\"]\n  18 [size=\"62123520\", alpha=\"0.19\", expect_size=\"24849408\"] \n  18 -> 23 [size =\"24849408\"]\n  19 [size=\"74017280\", alpha=\"0.03\", expect_size=\"29606912\"] \n  19 -> 22 [size =\"29606912\"]\n  19 -> 24 [size =\"29606912\"]\n  20 [size=\"23695360\", alpha=\"0.19\", expect_size=\"9478144\"] \n  20 -> 22 [size =\"9478144\"]\n  21 [size=\"108080640\", alpha=\"0.14\", expect_size=\"43232256\"] \n  21 -> 22 [size =\"43232256\"]\n  21 -> 24 [size =\"43232256\"]\n  22 [size=\"73456640\", alpha=\"0.14\", expect_size=\"29382656\"] \n  22 -> 25 [size =\"29382656\"]\n  22 -> 29 [size =\"29382656\"]\n  23 [size=\"88345600\", alpha=\"0.11\", expect_size=\"35338240\"] \n  23 -> 26 [size =\"35338240\"]\n  23 -> 28 [size =\"35338240\"]\n  24 [size=\"62376960\", alpha=\"0.15\", expect_size=\"24950784\"] \n  24 -> 26 [size =\"24950784\"]\n  24 -> 27 [size =\"24950784\"]\n  25 [size=\"77619200\", alpha=\"0.13\", expect_size=\"31047680\"] \n  25 -> 30 [size =\"31047680\"]\n  25 -> 31 [size =\"31047680\"]\n  26 [size=\"25116160\", alpha=\"0.05\", expect_size=\"10046464\"] \n  26 -> 30 [size =\"10046464\"]\n  27 [size=\"127070720\", alpha=\"0.14\", expect_size=\"50828288\"] \n  28 [size=\"94446080\", alpha=\"0.08\", expect_size=\"37778432\"] \n  28 -> 30 [size =\"37778432\"]\n  28 -> 31 [size =\"37778432\"]\n  28 -> 32 [size =\"37778432\"]\n  29 [size=\"85969920\", alpha=\"0.11\", expect_size=\"34387968\"] \n  29 -> 31 [size =\"34387968\"]\n  30 [size=\"102942720\", alpha=\"0.11\", expect_size=\"41177088\"] \n  30 -> 34 [size =\"41177088\"]\n  31 [size=\"99909120\", alpha=\"0.19\", expect_size=\"39963648\"] \n  31 -> 35 [size =\"39963648\"]\n  32 [size=\"62643200\", alpha=\"0.07\", expect_size=\"25057280\"] \n  32 -> 33 [size =\"25057280\"]\n  32 -> 34 [size =\"25057280\"]\n  33 [size=\"25927680\", alpha=\"0.07\", expect_size=\"10371072\"] \n  34 [size=\"90053120\", alpha=\"0.06\", expect_size=\"36021248\"] \n  35 [size=\"60508160\", alpha=\"0.19\", expect_size=\"24203264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39831040\", alpha=\"0.14\", expect_size=\"15932416\"] \n  1 -> 6 [size =\"15932416\"]\n  1 -> 7 [size =\"15932416\"]\n  1 -> 9 [size =\"15932416\"]\n  1 -> 10 [size =\"15932416\"]\n  2 [size=\"37189120\", alpha=\"0.03\", expect_size=\"14875648\"] \n  2 -> 7 [size =\"14875648\"]\n  3 [size=\"105000960\", alpha=\"0.08\", expect_size=\"42000384\"] \n  3 -> 7 [size =\"42000384\"]\n  3 -> 8 [size =\"42000384\"]\n  3 -> 9 [size =\"42000384\"]\n  4 [size=\"116887040\", alpha=\"0.16\", expect_size=\"46754816\"] \n  5 [size=\"130705920\", alpha=\"0.02\", expect_size=\"52282368\"] \n  5 -> 10 [size =\"52282368\"]\n  6 [size=\"122641920\", alpha=\"0.12\", expect_size=\"49056768\"] \n  6 -> 12 [size =\"49056768\"]\n  6 -> 14 [size =\"49056768\"]\n  7 [size=\"32435200\", alpha=\"0.15\", expect_size=\"12974080\"] \n  7 -> 13 [size =\"12974080\"]\n  8 [size=\"64896000\", alpha=\"0.10\", expect_size=\"25958400\"] \n  8 -> 12 [size =\"25958400\"]\n  8 -> 13 [size =\"25958400\"]\n  9 [size=\"35002880\", alpha=\"0.03\", expect_size=\"14001152\"] \n  9 -> 11 [size =\"14001152\"]\n  9 -> 14 [size =\"14001152\"]\n  10 [size=\"110274560\", alpha=\"0.07\", expect_size=\"44109824\"] \n  10 -> 11 [size =\"44109824\"]\n  11 [size=\"96153600\", alpha=\"0.03\", expect_size=\"38461440\"] \n  11 -> 15 [size =\"38461440\"]\n  11 -> 18 [size =\"38461440\"]\n  12 [size=\"58657280\", alpha=\"0.09\", expect_size=\"23462912\"] \n  13 [size=\"76206080\", alpha=\"0.16\", expect_size=\"30482432\"] \n  13 -> 17 [size =\"30482432\"]\n  14 [size=\"125946880\", alpha=\"0.17\", expect_size=\"50378752\"] \n  14 -> 15 [size =\"50378752\"]\n  14 -> 16 [size =\"50378752\"]\n  14 -> 18 [size =\"50378752\"]\n  14 -> 19 [size =\"50378752\"]\n  15 [size=\"101017600\", alpha=\"0.06\", expect_size=\"40407040\"] \n  16 [size=\"109900800\", alpha=\"0.14\", expect_size=\"43960320\"] \n  17 [size=\"61201920\", alpha=\"0.08\", expect_size=\"24480768\"] \n  17 -> 20 [size =\"24480768\"]\n  17 -> 22 [size =\"24480768\"]\n  17 -> 23 [size =\"24480768\"]\n  17 -> 24 [size =\"24480768\"]\n  18 [size=\"29089280\", alpha=\"0.00\", expect_size=\"11635712\"] \n  18 -> 23 [size =\"11635712\"]\n  19 [size=\"85358080\", alpha=\"0.01\", expect_size=\"34143232\"] \n  19 -> 21 [size =\"34143232\"]\n  20 [size=\"103104000\", alpha=\"0.01\", expect_size=\"41241600\"] \n  20 -> 27 [size =\"41241600\"]\n  20 -> 28 [size =\"41241600\"]\n  21 [size=\"26071040\", alpha=\"0.06\", expect_size=\"10428416\"] \n  21 -> 29 [size =\"10428416\"]\n  22 [size=\"45009920\", alpha=\"0.14\", expect_size=\"18003968\"] \n  22 -> 26 [size =\"18003968\"]\n  23 [size=\"98923520\", alpha=\"0.19\", expect_size=\"39569408\"] \n  23 -> 25 [size =\"39569408\"]\n  23 -> 29 [size =\"39569408\"]\n  23 -> 30 [size =\"39569408\"]\n  24 [size=\"75246080\", alpha=\"0.00\", expect_size=\"30098432\"] \n  24 -> 25 [size =\"30098432\"]\n  25 [size=\"56752640\", alpha=\"0.02\", expect_size=\"22701056\"] \n  25 -> 34 [size =\"22701056\"]\n  26 [size=\"92800000\", alpha=\"0.03\", expect_size=\"37120000\"] \n  26 -> 33 [size =\"37120000\"]\n  26 -> 34 [size =\"37120000\"]\n  27 [size=\"56916480\", alpha=\"0.06\", expect_size=\"22766592\"] \n  27 -> 33 [size =\"22766592\"]\n  28 [size=\"104366080\", alpha=\"0.19\", expect_size=\"41746432\"] \n  28 -> 32 [size =\"41746432\"]\n  28 -> 33 [size =\"41746432\"]\n  29 [size=\"104401920\", alpha=\"0.15\", expect_size=\"41760768\"] \n  29 -> 31 [size =\"41760768\"]\n  29 -> 32 [size =\"41760768\"]\n  30 [size=\"110307840\", alpha=\"0.07\", expect_size=\"44123136\"] \n  31 [size=\"116595200\", alpha=\"0.14\", expect_size=\"46638080\"] \n  31 -> 35 [size =\"46638080\"]\n  32 [size=\"32028160\", alpha=\"0.09\", expect_size=\"12811264\"] \n  32 -> 35 [size =\"12811264\"]\n  33 [size=\"116618240\", alpha=\"0.14\", expect_size=\"46647296\"] \n  34 [size=\"108367360\", alpha=\"0.18\", expect_size=\"43346944\"] \n  35 [size=\"111055360\", alpha=\"0.17\", expect_size=\"44422144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29696000\", alpha=\"0.06\", expect_size=\"8908800\"] \n  2 [size=\"19339947\", alpha=\"0.18\", expect_size=\"5801984\"] \n  3 [size=\"171120640\", alpha=\"0.20\", expect_size=\"51336192\"] \n  4 [size=\"50268160\", alpha=\"0.12\", expect_size=\"15080448\"] \n  5 [size=\"137130667\", alpha=\"0.15\", expect_size=\"41139200\"] \n  6 [size=\"63791787\", alpha=\"0.09\", expect_size=\"19137536\"] \n  7 [size=\"36867413\", alpha=\"0.02\", expect_size=\"11060224\"] \n  8 [size=\"173728427\", alpha=\"0.07\", expect_size=\"52118528\"] \n  9 [size=\"105570987\", alpha=\"0.02\", expect_size=\"31671296\"] \n  10 [size=\"84988587\", alpha=\"0.17\", expect_size=\"25496576\"] \n  11 [size=\"80022187\", alpha=\"0.18\", expect_size=\"24006656\"] \n  12 [size=\"129819307\", alpha=\"0.16\", expect_size=\"38945792\"] \n  13 [size=\"117579093\", alpha=\"0.03\", expect_size=\"35273728\"] \n  14 [size=\"115582293\", alpha=\"0.14\", expect_size=\"34674688\"] \n  15 [size=\"53391360\", alpha=\"0.19\", expect_size=\"16017408\"] \n  16 [size=\"174240427\", alpha=\"0.18\", expect_size=\"52272128\"] \n  17 [size=\"86002347\", alpha=\"0.01\", expect_size=\"25800704\"] \n  18 [size=\"98853547\", alpha=\"0.15\", expect_size=\"29656064\"] \n  19 [size=\"155958613\", alpha=\"0.07\", expect_size=\"46787584\"] \n  20 [size=\"173977600\", alpha=\"0.09\", expect_size=\"52193280\"] \n  21 [size=\"150623573\", alpha=\"0.12\", expect_size=\"45187072\"] \n  22 [size=\"137052160\", alpha=\"0.16\", expect_size=\"41115648\"] \n  23 [size=\"107997867\", alpha=\"0.19\", expect_size=\"32399360\"] \n  24 [size=\"133273600\", alpha=\"0.07\", expect_size=\"39982080\"] \n  25 [size=\"85814613\", alpha=\"0.09\", expect_size=\"25744384\"] \n  26 [size=\"81428480\", alpha=\"0.18\", expect_size=\"24428544\"] \n  27 [size=\"64822613\", alpha=\"0.09\", expect_size=\"19446784\"] \n  28 [size=\"73144320\", alpha=\"0.20\", expect_size=\"21943296\"] \n  29 [size=\"32843093\", alpha=\"0.02\", expect_size=\"9852928\"] \n  30 [size=\"88053760\", alpha=\"0.12\", expect_size=\"26416128\"] \n  31 [size=\"158190933\", alpha=\"0.11\", expect_size=\"47457280\"] \n  32 [size=\"98194773\", alpha=\"0.04\", expect_size=\"29458432\"] \n  33 [size=\"67211947\", alpha=\"0.09\", expect_size=\"20163584\"] \n  34 [size=\"61603840\", alpha=\"0.07\", expect_size=\"18481152\"] \n  35 [size=\"114158933\", alpha=\"0.10\", expect_size=\"34247680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161204907\", alpha=\"0.18\", expect_size=\"48361472\"] \n  1 -> 9 [size =\"48361472\"]\n  2 [size=\"61054293\", alpha=\"0.13\", expect_size=\"18316288\"] \n  2 -> 7 [size =\"18316288\"]\n  3 [size=\"42024960\", alpha=\"0.16\", expect_size=\"12607488\"] \n  3 -> 7 [size =\"12607488\"]\n  3 -> 9 [size =\"12607488\"]\n  4 [size=\"79527253\", alpha=\"0.08\", expect_size=\"23858176\"] \n  4 -> 6 [size =\"23858176\"]\n  5 [size=\"105567573\", alpha=\"0.10\", expect_size=\"31670272\"] \n  5 -> 6 [size =\"31670272\"]\n  5 -> 8 [size =\"31670272\"]\n  5 -> 10 [size =\"31670272\"]\n  6 [size=\"49609387\", alpha=\"0.20\", expect_size=\"14882816\"] \n  6 -> 12 [size =\"14882816\"]\n  6 -> 13 [size =\"14882816\"]\n  6 -> 14 [size =\"14882816\"]\n  7 [size=\"81380693\", alpha=\"0.03\", expect_size=\"24414208\"] \n  7 -> 13 [size =\"24414208\"]\n  7 -> 14 [size =\"24414208\"]\n  8 [size=\"54190080\", alpha=\"0.14\", expect_size=\"16257024\"] \n  9 [size=\"150299307\", alpha=\"0.11\", expect_size=\"45089792\"] \n  9 -> 11 [size =\"45089792\"]\n  9 -> 14 [size =\"45089792\"]\n  10 [size=\"40188587\", alpha=\"0.17\", expect_size=\"12056576\"] \n  10 -> 12 [size =\"12056576\"]\n  11 [size=\"144718507\", alpha=\"0.13\", expect_size=\"43415552\"] \n  11 -> 15 [size =\"43415552\"]\n  11 -> 18 [size =\"43415552\"]\n  12 [size=\"130054827\", alpha=\"0.19\", expect_size=\"39016448\"] \n  12 -> 15 [size =\"39016448\"]\n  12 -> 17 [size =\"39016448\"]\n  12 -> 19 [size =\"39016448\"]\n  12 -> 20 [size =\"39016448\"]\n  13 [size=\"72649387\", alpha=\"0.18\", expect_size=\"21794816\"] \n  13 -> 16 [size =\"21794816\"]\n  13 -> 19 [size =\"21794816\"]\n  14 [size=\"41775787\", alpha=\"0.05\", expect_size=\"12532736\"] \n  15 [size=\"101775360\", alpha=\"0.07\", expect_size=\"30532608\"] \n  15 -> 21 [size =\"30532608\"]\n  15 -> 22 [size =\"30532608\"]\n  16 [size=\"24238080\", alpha=\"0.03\", expect_size=\"7271424\"] \n  16 -> 21 [size =\"7271424\"]\n  16 -> 24 [size =\"7271424\"]\n  17 [size=\"23647573\", alpha=\"0.13\", expect_size=\"7094272\"] \n  17 -> 24 [size =\"7094272\"]\n  18 [size=\"48868693\", alpha=\"0.07\", expect_size=\"14660608\"] \n  18 -> 22 [size =\"14660608\"]\n  19 [size=\"155665067\", alpha=\"0.09\", expect_size=\"46699520\"] \n  19 -> 22 [size =\"46699520\"]\n  19 -> 23 [size =\"46699520\"]\n  20 [size=\"83732480\", alpha=\"0.15\", expect_size=\"25119744\"] \n  20 -> 21 [size =\"25119744\"]\n  21 [size=\"58555733\", alpha=\"0.19\", expect_size=\"17566720\"] \n  21 -> 25 [size =\"17566720\"]\n  21 -> 26 [size =\"17566720\"]\n  22 [size=\"158351360\", alpha=\"0.09\", expect_size=\"47505408\"] \n  22 -> 27 [size =\"47505408\"]\n  23 [size=\"150207147\", alpha=\"0.02\", expect_size=\"45062144\"] \n  23 -> 25 [size =\"45062144\"]\n  23 -> 27 [size =\"45062144\"]\n  24 [size=\"136891733\", alpha=\"0.03\", expect_size=\"41067520\"] \n  25 [size=\"22323200\", alpha=\"0.14\", expect_size=\"6696960\"] \n  25 -> 28 [size =\"6696960\"]\n  25 -> 31 [size =\"6696960\"]\n  26 [size=\"80134827\", alpha=\"0.10\", expect_size=\"24040448\"] \n  26 -> 29 [size =\"24040448\"]\n  27 [size=\"100642133\", alpha=\"0.14\", expect_size=\"30192640\"] \n  27 -> 28 [size =\"30192640\"]\n  27 -> 30 [size =\"30192640\"]\n  27 -> 31 [size =\"30192640\"]\n  28 [size=\"48940373\", alpha=\"0.03\", expect_size=\"14682112\"] \n  28 -> 32 [size =\"14682112\"]\n  29 [size=\"100945920\", alpha=\"0.09\", expect_size=\"30283776\"] \n  29 -> 33 [size =\"30283776\"]\n  29 -> 34 [size =\"30283776\"]\n  29 -> 35 [size =\"30283776\"]\n  30 [size=\"174479360\", alpha=\"0.17\", expect_size=\"52343808\"] \n  30 -> 33 [size =\"52343808\"]\n  30 -> 35 [size =\"52343808\"]\n  31 [size=\"136823467\", alpha=\"0.02\", expect_size=\"41047040\"] \n  32 [size=\"131706880\", alpha=\"0.01\", expect_size=\"39512064\"] \n  33 [size=\"45428053\", alpha=\"0.07\", expect_size=\"13628416\"] \n  34 [size=\"59822080\", alpha=\"0.16\", expect_size=\"17946624\"] \n  35 [size=\"79653547\", alpha=\"0.16\", expect_size=\"23896064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125532160\", alpha=\"0.17\", expect_size=\"50212864\"] \n  1 -> 17 [size =\"50212864\"]\n  1 -> 20 [size =\"50212864\"]\n  1 -> 22 [size =\"50212864\"]\n  1 -> 27 [size =\"50212864\"]\n  2 [size=\"29601280\", alpha=\"0.19\", expect_size=\"11840512\"] \n  2 -> 15 [size =\"11840512\"]\n  2 -> 16 [size =\"11840512\"]\n  2 -> 17 [size =\"11840512\"]\n  2 -> 20 [size =\"11840512\"]\n  2 -> 24 [size =\"11840512\"]\n  3 [size=\"30976000\", alpha=\"0.07\", expect_size=\"12390400\"] \n  3 -> 14 [size =\"12390400\"]\n  3 -> 20 [size =\"12390400\"]\n  3 -> 23 [size =\"12390400\"]\n  3 -> 25 [size =\"12390400\"]\n  3 -> 26 [size =\"12390400\"]\n  4 [size=\"119400960\", alpha=\"0.05\", expect_size=\"47760384\"] \n  4 -> 16 [size =\"47760384\"]\n  4 -> 18 [size =\"47760384\"]\n  4 -> 20 [size =\"47760384\"]\n  4 -> 22 [size =\"47760384\"]\n  4 -> 24 [size =\"47760384\"]\n  4 -> 25 [size =\"47760384\"]\n  4 -> 26 [size =\"47760384\"]\n  5 [size=\"34368000\", alpha=\"0.19\", expect_size=\"13747200\"] \n  5 -> 17 [size =\"13747200\"]\n  5 -> 22 [size =\"13747200\"]\n  5 -> 24 [size =\"13747200\"]\n  5 -> 27 [size =\"13747200\"]\n  6 [size=\"109440000\", alpha=\"0.06\", expect_size=\"43776000\"] \n  6 -> 17 [size =\"43776000\"]\n  6 -> 22 [size =\"43776000\"]\n  6 -> 23 [size =\"43776000\"]\n  6 -> 27 [size =\"43776000\"]\n  7 [size=\"34273280\", alpha=\"0.18\", expect_size=\"13709312\"] \n  7 -> 14 [size =\"13709312\"]\n  7 -> 20 [size =\"13709312\"]\n  7 -> 22 [size =\"13709312\"]\n  7 -> 23 [size =\"13709312\"]\n  7 -> 24 [size =\"13709312\"]\n  7 -> 25 [size =\"13709312\"]\n  7 -> 26 [size =\"13709312\"]\n  7 -> 27 [size =\"13709312\"]\n  8 [size=\"49571840\", alpha=\"0.00\", expect_size=\"19828736\"] \n  8 -> 17 [size =\"19828736\"]\n  8 -> 22 [size =\"19828736\"]\n  8 -> 27 [size =\"19828736\"]\n  9 [size=\"70830080\", alpha=\"0.04\", expect_size=\"28332032\"] \n  9 -> 18 [size =\"28332032\"]\n  9 -> 23 [size =\"28332032\"]\n  9 -> 26 [size =\"28332032\"]\n  9 -> 27 [size =\"28332032\"]\n  10 [size=\"79567360\", alpha=\"0.02\", expect_size=\"31826944\"] \n  10 -> 16 [size =\"31826944\"]\n  10 -> 18 [size =\"31826944\"]\n  10 -> 20 [size =\"31826944\"]\n  10 -> 21 [size =\"31826944\"]\n  10 -> 22 [size =\"31826944\"]\n  10 -> 23 [size =\"31826944\"]\n  10 -> 25 [size =\"31826944\"]\n  11 [size=\"98734080\", alpha=\"0.19\", expect_size=\"39493632\"] \n  11 -> 19 [size =\"39493632\"]\n  11 -> 21 [size =\"39493632\"]\n  11 -> 25 [size =\"39493632\"]\n  11 -> 26 [size =\"39493632\"]\n  12 [size=\"79498240\", alpha=\"0.10\", expect_size=\"31799296\"] \n  12 -> 16 [size =\"31799296\"]\n  12 -> 20 [size =\"31799296\"]\n  12 -> 25 [size =\"31799296\"]\n  13 [size=\"73431040\", alpha=\"0.05\", expect_size=\"29372416\"] \n  13 -> 15 [size =\"29372416\"]\n  13 -> 17 [size =\"29372416\"]\n  13 -> 20 [size =\"29372416\"]\n  13 -> 25 [size =\"29372416\"]\n  14 [size=\"114915840\", alpha=\"0.02\", expect_size=\"45966336\"] \n  14 -> 30 [size =\"45966336\"]\n  15 [size=\"25863680\", alpha=\"0.15\", expect_size=\"10345472\"] \n  15 -> 33 [size =\"10345472\"]\n  15 -> 34 [size =\"10345472\"]\n  15 -> 35 [size =\"10345472\"]\n  16 [size=\"18334720\", alpha=\"0.03\", expect_size=\"7333888\"] \n  16 -> 30 [size =\"7333888\"]\n  17 [size=\"51980800\", alpha=\"0.11\", expect_size=\"20792320\"] \n  17 -> 28 [size =\"20792320\"]\n  18 [size=\"41512960\", alpha=\"0.11\", expect_size=\"16605184\"] \n  18 -> 28 [size =\"16605184\"]\n  18 -> 32 [size =\"16605184\"]\n  18 -> 34 [size =\"16605184\"]\n  18 -> 35 [size =\"16605184\"]\n  19 [size=\"41548800\", alpha=\"0.13\", expect_size=\"16619520\"] \n  19 -> 29 [size =\"16619520\"]\n  19 -> 30 [size =\"16619520\"]\n  19 -> 34 [size =\"16619520\"]\n  20 [size=\"64040960\", alpha=\"0.08\", expect_size=\"25616384\"] \n  20 -> 31 [size =\"25616384\"]\n  20 -> 34 [size =\"25616384\"]\n  21 [size=\"74439680\", alpha=\"0.03\", expect_size=\"29775872\"] \n  21 -> 31 [size =\"29775872\"]\n  21 -> 34 [size =\"29775872\"]\n  22 [size=\"69793280\", alpha=\"0.00\", expect_size=\"27917312\"] \n  22 -> 34 [size =\"27917312\"]\n  23 [size=\"131000320\", alpha=\"0.00\", expect_size=\"52400128\"] \n  23 -> 30 [size =\"52400128\"]\n  24 [size=\"40906240\", alpha=\"0.19\", expect_size=\"16362496\"] \n  24 -> 32 [size =\"16362496\"]\n  25 [size=\"51412480\", alpha=\"0.01\", expect_size=\"20564992\"] \n  25 -> 28 [size =\"20564992\"]\n  25 -> 30 [size =\"20564992\"]\n  26 [size=\"19980800\", alpha=\"0.19\", expect_size=\"7992320\"] \n  26 -> 30 [size =\"7992320\"]\n  26 -> 33 [size =\"7992320\"]\n  26 -> 34 [size =\"7992320\"]\n  26 -> 35 [size =\"7992320\"]\n  27 [size=\"39495680\", alpha=\"0.01\", expect_size=\"15798272\"] \n  27 -> 28 [size =\"15798272\"]\n  27 -> 29 [size =\"15798272\"]\n  27 -> 30 [size =\"15798272\"]\n  27 -> 31 [size =\"15798272\"]\n  27 -> 32 [size =\"15798272\"]\n  27 -> 33 [size =\"15798272\"]\n  27 -> 34 [size =\"15798272\"]\n  28 [size=\"104053760\", alpha=\"0.09\", expect_size=\"41621504\"] \n  29 [size=\"50531840\", alpha=\"0.07\", expect_size=\"20212736\"] \n  30 [size=\"125811200\", alpha=\"0.16\", expect_size=\"50324480\"] \n  31 [size=\"56440320\", alpha=\"0.20\", expect_size=\"22576128\"] \n  32 [size=\"72808960\", alpha=\"0.15\", expect_size=\"29123584\"] \n  33 [size=\"73446400\", alpha=\"0.20\", expect_size=\"29378560\"] \n  34 [size=\"76226560\", alpha=\"0.02\", expect_size=\"30490624\"] \n  35 [size=\"69478400\", alpha=\"0.07\", expect_size=\"27791360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45511680\", alpha=\"0.02\", expect_size=\"18204672\"] \n  1 -> 2 [size =\"18204672\"]\n  2 [size=\"62914560\", alpha=\"0.19\", expect_size=\"25165824\"] \n  2 -> 3 [size =\"25165824\"]\n  3 [size=\"90682880\", alpha=\"0.03\", expect_size=\"36273152\"] \n  3 -> 4 [size =\"36273152\"]\n  4 [size=\"26403840\", alpha=\"0.05\", expect_size=\"10561536\"] \n  4 -> 5 [size =\"10561536\"]\n  5 [size=\"86108160\", alpha=\"0.09\", expect_size=\"34443264\"] \n  5 -> 6 [size =\"34443264\"]\n  6 [size=\"116008960\", alpha=\"0.04\", expect_size=\"46403584\"] \n  6 -> 7 [size =\"46403584\"]\n  7 [size=\"31628800\", alpha=\"0.19\", expect_size=\"12651520\"] \n  7 -> 8 [size =\"12651520\"]\n  8 [size=\"26196480\", alpha=\"0.07\", expect_size=\"10478592\"] \n  8 -> 9 [size =\"10478592\"]\n  9 [size=\"58278400\", alpha=\"0.12\", expect_size=\"23311360\"] \n  9 -> 10 [size =\"23311360\"]\n  10 [size=\"78202880\", alpha=\"0.03\", expect_size=\"31281152\"] \n  10 -> 11 [size =\"31281152\"]\n  11 [size=\"108869120\", alpha=\"0.10\", expect_size=\"43547648\"] \n  11 -> 12 [size =\"43547648\"]\n  12 [size=\"122908160\", alpha=\"0.07\", expect_size=\"49163264\"] \n  12 -> 13 [size =\"49163264\"]\n  13 [size=\"115386880\", alpha=\"0.18\", expect_size=\"46154752\"] \n  13 -> 14 [size =\"46154752\"]\n  14 [size=\"13399040\", alpha=\"0.14\", expect_size=\"5359616\"] \n  14 -> 15 [size =\"5359616\"]\n  15 [size=\"40460800\", alpha=\"0.08\", expect_size=\"16184320\"] \n  15 -> 16 [size =\"16184320\"]\n  16 [size=\"90680320\", alpha=\"0.01\", expect_size=\"36272128\"] \n  16 -> 17 [size =\"36272128\"]\n  17 [size=\"114910720\", alpha=\"0.08\", expect_size=\"45964288\"] \n  17 -> 18 [size =\"45964288\"]\n  18 [size=\"110648320\", alpha=\"0.12\", expect_size=\"44259328\"] \n  18 -> 19 [size =\"44259328\"]\n  19 [size=\"31882240\", alpha=\"0.03\", expect_size=\"12752896\"] \n  19 -> 20 [size =\"12752896\"]\n  20 [size=\"104258560\", alpha=\"0.14\", expect_size=\"41703424\"] \n  20 -> 21 [size =\"41703424\"]\n  21 [size=\"123112960\", alpha=\"0.11\", expect_size=\"49245184\"] \n  21 -> 22 [size =\"49245184\"]\n  22 [size=\"61962240\", alpha=\"0.16\", expect_size=\"24784896\"] \n  22 -> 23 [size =\"24784896\"]\n  23 [size=\"104373760\", alpha=\"0.15\", expect_size=\"41749504\"] \n  23 -> 24 [size =\"41749504\"]\n  24 [size=\"93642240\", alpha=\"0.15\", expect_size=\"37456896\"] \n  24 -> 25 [size =\"37456896\"]\n  25 [size=\"56199680\", alpha=\"0.08\", expect_size=\"22479872\"] \n  25 -> 26 [size =\"22479872\"]\n  26 [size=\"105297920\", alpha=\"0.19\", expect_size=\"42119168\"] \n  26 -> 27 [size =\"42119168\"]\n  27 [size=\"114104320\", alpha=\"0.12\", expect_size=\"45641728\"] \n  27 -> 28 [size =\"45641728\"]\n  28 [size=\"41090560\", alpha=\"0.08\", expect_size=\"16436224\"] \n  28 -> 29 [size =\"16436224\"]\n  29 [size=\"112012800\", alpha=\"0.12\", expect_size=\"44805120\"] \n  29 -> 30 [size =\"44805120\"]\n  30 [size=\"127723520\", alpha=\"0.06\", expect_size=\"51089408\"] \n  30 -> 31 [size =\"51089408\"]\n  31 [size=\"92336640\", alpha=\"0.17\", expect_size=\"36934656\"] \n  31 -> 32 [size =\"36934656\"]\n  32 [size=\"38256640\", alpha=\"0.07\", expect_size=\"15302656\"] \n  32 -> 33 [size =\"15302656\"]\n  33 [size=\"15290880\", alpha=\"0.13\", expect_size=\"6116352\"] \n  33 -> 34 [size =\"6116352\"]\n  34 [size=\"101015040\", alpha=\"0.00\", expect_size=\"40406016\"] \n  34 -> 35 [size =\"40406016\"]\n  35 [size=\"72798720\", alpha=\"0.12\", expect_size=\"29119488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32524288\", alpha=\"0.14\", expect_size=\"16262144\"] \n  1 -> 11 [size =\"16262144\"]\n  1 -> 13 [size =\"16262144\"]\n  1 -> 17 [size =\"16262144\"]\n  1 -> 19 [size =\"16262144\"]\n  2 [size=\"65581056\", alpha=\"0.03\", expect_size=\"32790528\"] \n  2 -> 11 [size =\"32790528\"]\n  2 -> 13 [size =\"32790528\"]\n  2 -> 17 [size =\"32790528\"]\n  2 -> 21 [size =\"32790528\"]\n  3 [size=\"56715264\", alpha=\"0.20\", expect_size=\"28357632\"] \n  3 -> 13 [size =\"28357632\"]\n  3 -> 14 [size =\"28357632\"]\n  3 -> 15 [size =\"28357632\"]\n  3 -> 16 [size =\"28357632\"]\n  3 -> 17 [size =\"28357632\"]\n  3 -> 18 [size =\"28357632\"]\n  4 [size=\"58212352\", alpha=\"0.14\", expect_size=\"29106176\"] \n  4 -> 17 [size =\"29106176\"]\n  4 -> 18 [size =\"29106176\"]\n  5 [size=\"12175360\", alpha=\"0.10\", expect_size=\"6087680\"] \n  5 -> 11 [size =\"6087680\"]\n  5 -> 12 [size =\"6087680\"]\n  5 -> 13 [size =\"6087680\"]\n  5 -> 15 [size =\"6087680\"]\n  5 -> 16 [size =\"6087680\"]\n  5 -> 17 [size =\"6087680\"]\n  6 [size=\"18827264\", alpha=\"0.11\", expect_size=\"9413632\"] \n  6 -> 11 [size =\"9413632\"]\n  6 -> 15 [size =\"9413632\"]\n  6 -> 18 [size =\"9413632\"]\n  6 -> 19 [size =\"9413632\"]\n  7 [size=\"47755264\", alpha=\"0.18\", expect_size=\"23877632\"] \n  7 -> 10 [size =\"23877632\"]\n  7 -> 13 [size =\"23877632\"]\n  7 -> 16 [size =\"23877632\"]\n  7 -> 19 [size =\"23877632\"]\n  8 [size=\"31776768\", alpha=\"0.07\", expect_size=\"15888384\"] \n  8 -> 14 [size =\"15888384\"]\n  8 -> 15 [size =\"15888384\"]\n  8 -> 16 [size =\"15888384\"]\n  8 -> 20 [size =\"15888384\"]\n  9 [size=\"83044352\", alpha=\"0.19\", expect_size=\"41522176\"] \n  9 -> 12 [size =\"41522176\"]\n  9 -> 13 [size =\"41522176\"]\n  9 -> 17 [size =\"41522176\"]\n  9 -> 20 [size =\"41522176\"]\n  10 [size=\"12779520\", alpha=\"0.10\", expect_size=\"6389760\"] \n  10 -> 22 [size =\"6389760\"]\n  10 -> 28 [size =\"6389760\"]\n  10 -> 30 [size =\"6389760\"]\n  10 -> 33 [size =\"6389760\"]\n  10 -> 34 [size =\"6389760\"]\n  10 -> 35 [size =\"6389760\"]\n  11 [size=\"95084544\", alpha=\"0.12\", expect_size=\"47542272\"] \n  11 -> 25 [size =\"47542272\"]\n  11 -> 28 [size =\"47542272\"]\n  11 -> 29 [size =\"47542272\"]\n  11 -> 30 [size =\"47542272\"]\n  11 -> 33 [size =\"47542272\"]\n  11 -> 34 [size =\"47542272\"]\n  12 [size=\"68585472\", alpha=\"0.07\", expect_size=\"34292736\"] \n  12 -> 27 [size =\"34292736\"]\n  12 -> 29 [size =\"34292736\"]\n  12 -> 30 [size =\"34292736\"]\n  12 -> 30 [size =\"34292736\"]\n  12 -> 31 [size =\"34292736\"]\n  13 [size=\"84578304\", alpha=\"0.02\", expect_size=\"42289152\"] \n  13 -> 27 [size =\"42289152\"]\n  13 -> 29 [size =\"42289152\"]\n  13 -> 30 [size =\"42289152\"]\n  13 -> 32 [size =\"42289152\"]\n  13 -> 33 [size =\"42289152\"]\n  13 -> 34 [size =\"42289152\"]\n  14 [size=\"84402176\", alpha=\"0.03\", expect_size=\"42201088\"] \n  14 -> 23 [size =\"42201088\"]\n  14 -> 27 [size =\"42201088\"]\n  14 -> 28 [size =\"42201088\"]\n  14 -> 29 [size =\"42201088\"]\n  14 -> 30 [size =\"42201088\"]\n  14 -> 33 [size =\"42201088\"]\n  14 -> 34 [size =\"42201088\"]\n  15 [size=\"57075712\", alpha=\"0.01\", expect_size=\"28537856\"] \n  15 -> 25 [size =\"28537856\"]\n  15 -> 27 [size =\"28537856\"]\n  15 -> 28 [size =\"28537856\"]\n  15 -> 33 [size =\"28537856\"]\n  16 [size=\"103528448\", alpha=\"0.02\", expect_size=\"51764224\"] \n  16 -> 25 [size =\"51764224\"]\n  16 -> 27 [size =\"51764224\"]\n  16 -> 28 [size =\"51764224\"]\n  16 -> 29 [size =\"51764224\"]\n  16 -> 30 [size =\"51764224\"]\n  16 -> 31 [size =\"51764224\"]\n  16 -> 33 [size =\"51764224\"]\n  16 -> 34 [size =\"51764224\"]\n  17 [size=\"63305728\", alpha=\"0.06\", expect_size=\"31652864\"] \n  17 -> 25 [size =\"31652864\"]\n  17 -> 27 [size =\"31652864\"]\n  17 -> 28 [size =\"31652864\"]\n  17 -> 29 [size =\"31652864\"]\n  17 -> 30 [size =\"31652864\"]\n  17 -> 33 [size =\"31652864\"]\n  18 [size=\"53407744\", alpha=\"0.05\", expect_size=\"26703872\"] \n  18 -> 25 [size =\"26703872\"]\n  18 -> 27 [size =\"26703872\"]\n  18 -> 28 [size =\"26703872\"]\n  18 -> 29 [size =\"26703872\"]\n  18 -> 31 [size =\"26703872\"]\n  18 -> 33 [size =\"26703872\"]\n  18 -> 34 [size =\"26703872\"]\n  19 [size=\"85407744\", alpha=\"0.04\", expect_size=\"42703872\"] \n  19 -> 23 [size =\"42703872\"]\n  19 -> 25 [size =\"42703872\"]\n  19 -> 27 [size =\"42703872\"]\n  19 -> 28 [size =\"42703872\"]\n  19 -> 29 [size =\"42703872\"]\n  19 -> 30 [size =\"42703872\"]\n  19 -> 33 [size =\"42703872\"]\n  19 -> 34 [size =\"42703872\"]\n  20 [size=\"80334848\", alpha=\"0.06\", expect_size=\"40167424\"] \n  20 -> 25 [size =\"40167424\"]\n  20 -> 26 [size =\"40167424\"]\n  20 -> 27 [size =\"40167424\"]\n  20 -> 28 [size =\"40167424\"]\n  20 -> 29 [size =\"40167424\"]\n  20 -> 30 [size =\"40167424\"]\n  20 -> 31 [size =\"40167424\"]\n  20 -> 33 [size =\"40167424\"]\n  20 -> 34 [size =\"40167424\"]\n  21 [size=\"32833536\", alpha=\"0.12\", expect_size=\"16416768\"] \n  21 -> 22 [size =\"16416768\"]\n  21 -> 24 [size =\"16416768\"]\n  21 -> 27 [size =\"16416768\"]\n  21 -> 28 [size =\"16416768\"]\n  21 -> 29 [size =\"16416768\"]\n  21 -> 30 [size =\"16416768\"]\n  21 -> 33 [size =\"16416768\"]\n  21 -> 34 [size =\"16416768\"]\n  21 -> 34 [size =\"16416768\"]\n  21 -> 35 [size =\"16416768\"]\n  22 [size=\"90030080\", alpha=\"0.10\", expect_size=\"45015040\"] \n  23 [size=\"28264448\", alpha=\"0.18\", expect_size=\"14132224\"] \n  24 [size=\"37904384\", alpha=\"0.16\", expect_size=\"18952192\"] \n  25 [size=\"53350400\", alpha=\"0.14\", expect_size=\"26675200\"] \n  26 [size=\"56805376\", alpha=\"0.14\", expect_size=\"28402688\"] \n  27 [size=\"67966976\", alpha=\"0.02\", expect_size=\"33983488\"] \n  28 [size=\"97615872\", alpha=\"0.14\", expect_size=\"48807936\"] \n  29 [size=\"25292800\", alpha=\"0.02\", expect_size=\"12646400\"] \n  30 [size=\"44091392\", alpha=\"0.10\", expect_size=\"22045696\"] \n  31 [size=\"70547456\", alpha=\"0.16\", expect_size=\"35273728\"] \n  32 [size=\"32327680\", alpha=\"0.15\", expect_size=\"16163840\"] \n  33 [size=\"78901248\", alpha=\"0.09\", expect_size=\"39450624\"] \n  34 [size=\"67753984\", alpha=\"0.19\", expect_size=\"33876992\"] \n  35 [size=\"46616576\", alpha=\"0.19\", expect_size=\"23308288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83660800\", alpha=\"0.03\", expect_size=\"25098240\"] \n  1 -> 2 [size =\"25098240\"]\n  2 [size=\"56459947\", alpha=\"0.16\", expect_size=\"16937984\"] \n  2 -> 3 [size =\"16937984\"]\n  3 [size=\"99300693\", alpha=\"0.12\", expect_size=\"29790208\"] \n  3 -> 4 [size =\"29790208\"]\n  4 [size=\"124607147\", alpha=\"0.00\", expect_size=\"37382144\"] \n  4 -> 5 [size =\"37382144\"]\n  5 [size=\"160894293\", alpha=\"0.10\", expect_size=\"48268288\"] \n  5 -> 6 [size =\"48268288\"]\n  6 [size=\"144909653\", alpha=\"0.10\", expect_size=\"43472896\"] \n  6 -> 7 [size =\"43472896\"]\n  7 [size=\"159494827\", alpha=\"0.13\", expect_size=\"47848448\"] \n  7 -> 8 [size =\"47848448\"]\n  8 [size=\"59938133\", alpha=\"0.16\", expect_size=\"17981440\"] \n  8 -> 9 [size =\"17981440\"]\n  9 [size=\"81455787\", alpha=\"0.11\", expect_size=\"24436736\"] \n  9 -> 10 [size =\"24436736\"]\n  10 [size=\"154733227\", alpha=\"0.05\", expect_size=\"46419968\"] \n  10 -> 11 [size =\"46419968\"]\n  11 [size=\"128894293\", alpha=\"0.03\", expect_size=\"38668288\"] \n  11 -> 12 [size =\"38668288\"]\n  12 [size=\"150449493\", alpha=\"0.06\", expect_size=\"45134848\"] \n  12 -> 13 [size =\"45134848\"]\n  13 [size=\"117568853\", alpha=\"0.16\", expect_size=\"35270656\"] \n  13 -> 14 [size =\"35270656\"]\n  14 [size=\"53589333\", alpha=\"0.09\", expect_size=\"16076800\"] \n  14 -> 15 [size =\"16076800\"]\n  15 [size=\"57279147\", alpha=\"0.03\", expect_size=\"17183744\"] \n  15 -> 16 [size =\"17183744\"]\n  16 [size=\"134423893\", alpha=\"0.01\", expect_size=\"40327168\"] \n  16 -> 17 [size =\"40327168\"]\n  17 [size=\"53439147\", alpha=\"0.12\", expect_size=\"16031744\"] \n  17 -> 18 [size =\"16031744\"]\n  18 [size=\"157279573\", alpha=\"0.18\", expect_size=\"47183872\"] \n  18 -> 19 [size =\"47183872\"]\n  19 [size=\"127279787\", alpha=\"0.15\", expect_size=\"38183936\"] \n  19 -> 20 [size =\"38183936\"]\n  20 [size=\"57074347\", alpha=\"0.12\", expect_size=\"17122304\"] \n  20 -> 21 [size =\"17122304\"]\n  21 [size=\"100208640\", alpha=\"0.16\", expect_size=\"30062592\"] \n  21 -> 22 [size =\"30062592\"]\n  22 [size=\"124480853\", alpha=\"0.06\", expect_size=\"37344256\"] \n  22 -> 23 [size =\"37344256\"]\n  23 [size=\"173786453\", alpha=\"0.06\", expect_size=\"52135936\"] \n  23 -> 24 [size =\"52135936\"]\n  24 [size=\"141233493\", alpha=\"0.20\", expect_size=\"42370048\"] \n  24 -> 25 [size =\"42370048\"]\n  25 [size=\"57029973\", alpha=\"0.11\", expect_size=\"17108992\"] \n  25 -> 26 [size =\"17108992\"]\n  26 [size=\"81442133\", alpha=\"0.19\", expect_size=\"24432640\"] \n  26 -> 27 [size =\"24432640\"]\n  27 [size=\"91221333\", alpha=\"0.06\", expect_size=\"27366400\"] \n  27 -> 28 [size =\"27366400\"]\n  28 [size=\"28921173\", alpha=\"0.17\", expect_size=\"8676352\"] \n  28 -> 29 [size =\"8676352\"]\n  29 [size=\"170653013\", alpha=\"0.17\", expect_size=\"51195904\"] \n  29 -> 30 [size =\"51195904\"]\n  30 [size=\"134174720\", alpha=\"0.14\", expect_size=\"40252416\"] \n  30 -> 31 [size =\"40252416\"]\n  31 [size=\"68143787\", alpha=\"0.05\", expect_size=\"20443136\"] \n  31 -> 32 [size =\"20443136\"]\n  32 [size=\"38741333\", alpha=\"0.13\", expect_size=\"11622400\"] \n  32 -> 33 [size =\"11622400\"]\n  33 [size=\"84951040\", alpha=\"0.14\", expect_size=\"25485312\"] \n  33 -> 34 [size =\"25485312\"]\n  34 [size=\"131314347\", alpha=\"0.20\", expect_size=\"39394304\"] \n  34 -> 35 [size =\"39394304\"]\n  35 [size=\"127675733\", alpha=\"0.11\", expect_size=\"38302720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54309547\", alpha=\"0.08\", expect_size=\"16292864\"] \n  1 -> 2 [size =\"16292864\"]\n  2 [size=\"41099947\", alpha=\"0.15\", expect_size=\"12329984\"] \n  2 -> 3 [size =\"12329984\"]\n  3 [size=\"165393067\", alpha=\"0.17\", expect_size=\"49617920\"] \n  3 -> 4 [size =\"49617920\"]\n  4 [size=\"49547947\", alpha=\"0.04\", expect_size=\"14864384\"] \n  4 -> 5 [size =\"14864384\"]\n  5 [size=\"64197973\", alpha=\"0.11\", expect_size=\"19259392\"] \n  5 -> 6 [size =\"19259392\"]\n  6 [size=\"20408320\", alpha=\"0.03\", expect_size=\"6122496\"] \n  6 -> 7 [size =\"6122496\"]\n  7 [size=\"98785280\", alpha=\"0.06\", expect_size=\"29635584\"] \n  7 -> 8 [size =\"29635584\"]\n  8 [size=\"150080853\", alpha=\"0.16\", expect_size=\"45024256\"] \n  8 -> 9 [size =\"45024256\"]\n  9 [size=\"122245120\", alpha=\"0.06\", expect_size=\"36673536\"] \n  9 -> 10 [size =\"36673536\"]\n  10 [size=\"23094613\", alpha=\"0.07\", expect_size=\"6928384\"] \n  10 -> 11 [size =\"6928384\"]\n  11 [size=\"161607680\", alpha=\"0.10\", expect_size=\"48482304\"] \n  11 -> 12 [size =\"48482304\"]\n  12 [size=\"68034560\", alpha=\"0.01\", expect_size=\"20410368\"] \n  12 -> 13 [size =\"20410368\"]\n  13 [size=\"25507840\", alpha=\"0.15\", expect_size=\"7652352\"] \n  13 -> 14 [size =\"7652352\"]\n  14 [size=\"156989440\", alpha=\"0.02\", expect_size=\"47096832\"] \n  14 -> 15 [size =\"47096832\"]\n  15 [size=\"29112320\", alpha=\"0.10\", expect_size=\"8733696\"] \n  15 -> 16 [size =\"8733696\"]\n  16 [size=\"114380800\", alpha=\"0.06\", expect_size=\"34314240\"] \n  16 -> 17 [size =\"34314240\"]\n  17 [size=\"137502720\", alpha=\"0.19\", expect_size=\"41250816\"] \n  17 -> 18 [size =\"41250816\"]\n  18 [size=\"24722773\", alpha=\"0.05\", expect_size=\"7416832\"] \n  18 -> 19 [size =\"7416832\"]\n  19 [size=\"154408960\", alpha=\"0.05\", expect_size=\"46322688\"] \n  19 -> 20 [size =\"46322688\"]\n  20 [size=\"44632747\", alpha=\"0.02\", expect_size=\"13389824\"] \n  20 -> 21 [size =\"13389824\"]\n  21 [size=\"101304320\", alpha=\"0.05\", expect_size=\"30391296\"] \n  21 -> 22 [size =\"30391296\"]\n  22 [size=\"25603413\", alpha=\"0.10\", expect_size=\"7681024\"] \n  22 -> 23 [size =\"7681024\"]\n  23 [size=\"35942400\", alpha=\"0.15\", expect_size=\"10782720\"] \n  23 -> 24 [size =\"10782720\"]\n  24 [size=\"154716160\", alpha=\"0.03\", expect_size=\"46414848\"] \n  24 -> 25 [size =\"46414848\"]\n  25 [size=\"173189120\", alpha=\"0.17\", expect_size=\"51956736\"] \n  25 -> 26 [size =\"51956736\"]\n  26 [size=\"98355200\", alpha=\"0.12\", expect_size=\"29506560\"] \n  26 -> 27 [size =\"29506560\"]\n  27 [size=\"143732053\", alpha=\"0.17\", expect_size=\"43119616\"] \n  27 -> 28 [size =\"43119616\"]\n  28 [size=\"131983360\", alpha=\"0.19\", expect_size=\"39595008\"] \n  28 -> 29 [size =\"39595008\"]\n  29 [size=\"168430933\", alpha=\"0.14\", expect_size=\"50529280\"] \n  29 -> 30 [size =\"50529280\"]\n  30 [size=\"47202987\", alpha=\"0.10\", expect_size=\"14160896\"] \n  30 -> 31 [size =\"14160896\"]\n  31 [size=\"65819307\", alpha=\"0.04\", expect_size=\"19745792\"] \n  31 -> 32 [size =\"19745792\"]\n  32 [size=\"103823360\", alpha=\"0.05\", expect_size=\"31147008\"] \n  32 -> 33 [size =\"31147008\"]\n  33 [size=\"27552427\", alpha=\"0.06\", expect_size=\"8265728\"] \n  33 -> 34 [size =\"8265728\"]\n  34 [size=\"142216533\", alpha=\"0.06\", expect_size=\"42664960\"] \n  34 -> 35 [size =\"42664960\"]\n  35 [size=\"165307733\", alpha=\"0.07\", expect_size=\"49592320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96972800\", alpha=\"0.15\", expect_size=\"38789120\"] \n  1 -> 15 [size =\"38789120\"]\n  1 -> 17 [size =\"38789120\"]\n  1 -> 18 [size =\"38789120\"]\n  1 -> 19 [size =\"38789120\"]\n  1 -> 21 [size =\"38789120\"]\n  2 [size=\"72832000\", alpha=\"0.10\", expect_size=\"29132800\"] \n  2 -> 13 [size =\"29132800\"]\n  2 -> 18 [size =\"29132800\"]\n  2 -> 19 [size =\"29132800\"]\n  2 -> 21 [size =\"29132800\"]\n  3 [size=\"49610240\", alpha=\"0.08\", expect_size=\"19844096\"] \n  3 -> 17 [size =\"19844096\"]\n  3 -> 21 [size =\"19844096\"]\n  4 [size=\"115417600\", alpha=\"0.05\", expect_size=\"46167040\"] \n  4 -> 16 [size =\"46167040\"]\n  4 -> 22 [size =\"46167040\"]\n  5 [size=\"125959680\", alpha=\"0.15\", expect_size=\"50383872\"] \n  5 -> 16 [size =\"50383872\"]\n  6 [size=\"77463040\", alpha=\"0.04\", expect_size=\"30985216\"] \n  6 -> 16 [size =\"30985216\"]\n  6 -> 17 [size =\"30985216\"]\n  7 [size=\"60784640\", alpha=\"0.12\", expect_size=\"24313856\"] \n  7 -> 17 [size =\"24313856\"]\n  8 [size=\"105694720\", alpha=\"0.19\", expect_size=\"42277888\"] \n  8 -> 14 [size =\"42277888\"]\n  8 -> 15 [size =\"42277888\"]\n  8 -> 16 [size =\"42277888\"]\n  8 -> 18 [size =\"42277888\"]\n  8 -> 21 [size =\"42277888\"]\n  9 [size=\"14051840\", alpha=\"0.14\", expect_size=\"5620736\"] \n  9 -> 14 [size =\"5620736\"]\n  9 -> 17 [size =\"5620736\"]\n  9 -> 19 [size =\"5620736\"]\n  9 -> 21 [size =\"5620736\"]\n  10 [size=\"104061440\", alpha=\"0.18\", expect_size=\"41624576\"] \n  10 -> 14 [size =\"41624576\"]\n  10 -> 16 [size =\"41624576\"]\n  10 -> 22 [size =\"41624576\"]\n  11 [size=\"62863360\", alpha=\"0.09\", expect_size=\"25145344\"] \n  11 -> 13 [size =\"25145344\"]\n  11 -> 14 [size =\"25145344\"]\n  11 -> 16 [size =\"25145344\"]\n  11 -> 18 [size =\"25145344\"]\n  11 -> 19 [size =\"25145344\"]\n  12 [size=\"32880640\", alpha=\"0.09\", expect_size=\"13152256\"] \n  12 -> 16 [size =\"13152256\"]\n  12 -> 17 [size =\"13152256\"]\n  12 -> 18 [size =\"13152256\"]\n  12 -> 18 [size =\"13152256\"]\n  12 -> 19 [size =\"13152256\"]\n  12 -> 20 [size =\"13152256\"]\n  13 [size=\"91043840\", alpha=\"0.08\", expect_size=\"36417536\"] \n  13 -> 26 [size =\"36417536\"]\n  13 -> 27 [size =\"36417536\"]\n  13 -> 28 [size =\"36417536\"]\n  13 -> 29 [size =\"36417536\"]\n  13 -> 31 [size =\"36417536\"]\n  14 [size=\"21194240\", alpha=\"0.01\", expect_size=\"8477696\"] \n  14 -> 26 [size =\"8477696\"]\n  14 -> 27 [size =\"8477696\"]\n  14 -> 28 [size =\"8477696\"]\n  14 -> 29 [size =\"8477696\"]\n  14 -> 32 [size =\"8477696\"]\n  15 [size=\"52925440\", alpha=\"0.13\", expect_size=\"21170176\"] \n  15 -> 26 [size =\"21170176\"]\n  16 [size=\"22256640\", alpha=\"0.03\", expect_size=\"8902656\"] \n  16 -> 24 [size =\"8902656\"]\n  16 -> 28 [size =\"8902656\"]\n  16 -> 29 [size =\"8902656\"]\n  16 -> 30 [size =\"8902656\"]\n  16 -> 32 [size =\"8902656\"]\n  16 -> 33 [size =\"8902656\"]\n  17 [size=\"47203840\", alpha=\"0.05\", expect_size=\"18881536\"] \n  17 -> 26 [size =\"18881536\"]\n  17 -> 31 [size =\"18881536\"]\n  17 -> 33 [size =\"18881536\"]\n  18 [size=\"117153280\", alpha=\"0.07\", expect_size=\"46861312\"] \n  18 -> 27 [size =\"46861312\"]\n  18 -> 31 [size =\"46861312\"]\n  19 [size=\"108889600\", alpha=\"0.03\", expect_size=\"43555840\"] \n  19 -> 27 [size =\"43555840\"]\n  19 -> 28 [size =\"43555840\"]\n  19 -> 29 [size =\"43555840\"]\n  19 -> 31 [size =\"43555840\"]\n  19 -> 33 [size =\"43555840\"]\n  20 [size=\"74260480\", alpha=\"0.20\", expect_size=\"29704192\"] \n  20 -> 23 [size =\"29704192\"]\n  20 -> 24 [size =\"29704192\"]\n  20 -> 25 [size =\"29704192\"]\n  20 -> 32 [size =\"29704192\"]\n  21 [size=\"61506560\", alpha=\"0.11\", expect_size=\"24602624\"] \n  21 -> 24 [size =\"24602624\"]\n  21 -> 24 [size =\"24602624\"]\n  21 -> 31 [size =\"24602624\"]\n  22 [size=\"112583680\", alpha=\"0.12\", expect_size=\"45033472\"] \n  22 -> 23 [size =\"45033472\"]\n  22 -> 28 [size =\"45033472\"]\n  22 -> 30 [size =\"45033472\"]\n  22 -> 32 [size =\"45033472\"]\n  23 [size=\"45573120\", alpha=\"0.20\", expect_size=\"18229248\"] \n  23 -> 34 [size =\"18229248\"]\n  23 -> 35 [size =\"18229248\"]\n  24 [size=\"92451840\", alpha=\"0.04\", expect_size=\"36980736\"] \n  25 [size=\"98680320\", alpha=\"0.08\", expect_size=\"39472128\"] \n  25 -> 35 [size =\"39472128\"]\n  26 [size=\"54461440\", alpha=\"0.03\", expect_size=\"21784576\"] \n  27 [size=\"69409280\", alpha=\"0.06\", expect_size=\"27763712\"] \n  28 [size=\"97835520\", alpha=\"0.05\", expect_size=\"39134208\"] \n  28 -> 35 [size =\"39134208\"]\n  29 [size=\"18757120\", alpha=\"0.04\", expect_size=\"7502848\"] \n  29 -> 34 [size =\"7502848\"]\n  30 [size=\"36241920\", alpha=\"0.18\", expect_size=\"14496768\"] \n  31 [size=\"35468800\", alpha=\"0.00\", expect_size=\"14187520\"] \n  32 [size=\"100308480\", alpha=\"0.06\", expect_size=\"40123392\"] \n  33 [size=\"54556160\", alpha=\"0.06\", expect_size=\"21822464\"] \n  33 -> 35 [size =\"21822464\"]\n  34 [size=\"52682240\", alpha=\"0.06\", expect_size=\"21072896\"] \n  35 [size=\"79032320\", alpha=\"0.13\", expect_size=\"31612928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60656640\", alpha=\"0.09\", expect_size=\"24262656\"] \n  1 -> 2 [size =\"24262656\"]\n  2 [size=\"13657600\", alpha=\"0.13\", expect_size=\"5463040\"] \n  2 -> 3 [size =\"5463040\"]\n  3 [size=\"53135360\", alpha=\"0.07\", expect_size=\"21254144\"] \n  3 -> 4 [size =\"21254144\"]\n  4 [size=\"50585600\", alpha=\"0.11\", expect_size=\"20234240\"] \n  4 -> 5 [size =\"20234240\"]\n  5 [size=\"30405120\", alpha=\"0.14\", expect_size=\"12162048\"] \n  5 -> 6 [size =\"12162048\"]\n  6 [size=\"16256000\", alpha=\"0.10\", expect_size=\"6502400\"] \n  6 -> 7 [size =\"6502400\"]\n  7 [size=\"54325760\", alpha=\"0.11\", expect_size=\"21730304\"] \n  7 -> 8 [size =\"21730304\"]\n  8 [size=\"84864000\", alpha=\"0.18\", expect_size=\"33945600\"] \n  8 -> 9 [size =\"33945600\"]\n  9 [size=\"109793280\", alpha=\"0.07\", expect_size=\"43917312\"] \n  9 -> 10 [size =\"43917312\"]\n  10 [size=\"73748480\", alpha=\"0.12\", expect_size=\"29499392\"] \n  10 -> 11 [size =\"29499392\"]\n  11 [size=\"13501440\", alpha=\"0.07\", expect_size=\"5400576\"] \n  11 -> 12 [size =\"5400576\"]\n  12 [size=\"67968000\", alpha=\"0.14\", expect_size=\"27187200\"] \n  12 -> 13 [size =\"27187200\"]\n  13 [size=\"24256000\", alpha=\"0.07\", expect_size=\"9702400\"] \n  13 -> 14 [size =\"9702400\"]\n  14 [size=\"65095680\", alpha=\"0.13\", expect_size=\"26038272\"] \n  14 -> 15 [size =\"26038272\"]\n  15 [size=\"129011200\", alpha=\"0.01\", expect_size=\"51604480\"] \n  15 -> 16 [size =\"51604480\"]\n  16 [size=\"90905600\", alpha=\"0.12\", expect_size=\"36362240\"] \n  16 -> 17 [size =\"36362240\"]\n  17 [size=\"32775680\", alpha=\"0.10\", expect_size=\"13110272\"] \n  17 -> 18 [size =\"13110272\"]\n  18 [size=\"100200960\", alpha=\"0.19\", expect_size=\"40080384\"] \n  18 -> 19 [size =\"40080384\"]\n  19 [size=\"89218560\", alpha=\"0.17\", expect_size=\"35687424\"] \n  19 -> 20 [size =\"35687424\"]\n  20 [size=\"14000640\", alpha=\"0.02\", expect_size=\"5600256\"] \n  20 -> 21 [size =\"5600256\"]\n  21 [size=\"86151680\", alpha=\"0.14\", expect_size=\"34460672\"] \n  21 -> 22 [size =\"34460672\"]\n  22 [size=\"127124480\", alpha=\"0.07\", expect_size=\"50849792\"] \n  22 -> 23 [size =\"50849792\"]\n  23 [size=\"91427840\", alpha=\"0.07\", expect_size=\"36571136\"] \n  23 -> 24 [size =\"36571136\"]\n  24 [size=\"13818880\", alpha=\"0.12\", expect_size=\"5527552\"] \n  24 -> 25 [size =\"5527552\"]\n  25 [size=\"88366080\", alpha=\"0.01\", expect_size=\"35346432\"] \n  25 -> 26 [size =\"35346432\"]\n  26 [size=\"91968000\", alpha=\"0.11\", expect_size=\"36787200\"] \n  26 -> 27 [size =\"36787200\"]\n  27 [size=\"43015680\", alpha=\"0.07\", expect_size=\"17206272\"] \n  27 -> 28 [size =\"17206272\"]\n  28 [size=\"102896640\", alpha=\"0.15\", expect_size=\"41158656\"] \n  28 -> 29 [size =\"41158656\"]\n  29 [size=\"97300480\", alpha=\"0.00\", expect_size=\"38920192\"] \n  29 -> 30 [size =\"38920192\"]\n  30 [size=\"80875520\", alpha=\"0.15\", expect_size=\"32350208\"] \n  30 -> 31 [size =\"32350208\"]\n  31 [size=\"91345920\", alpha=\"0.11\", expect_size=\"36538368\"] \n  31 -> 32 [size =\"36538368\"]\n  32 [size=\"58296320\", alpha=\"0.15\", expect_size=\"23318528\"] \n  32 -> 33 [size =\"23318528\"]\n  33 [size=\"100241920\", alpha=\"0.02\", expect_size=\"40096768\"] \n  33 -> 34 [size =\"40096768\"]\n  34 [size=\"21278720\", alpha=\"0.17\", expect_size=\"8511488\"] \n  34 -> 35 [size =\"8511488\"]\n  35 [size=\"94822400\", alpha=\"0.12\", expect_size=\"37928960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132928853\", alpha=\"0.17\", expect_size=\"39878656\"] \n  2 [size=\"37744640\", alpha=\"0.02\", expect_size=\"11323392\"] \n  2 -> 8 [size =\"11323392\"]\n  3 [size=\"39615147\", alpha=\"0.04\", expect_size=\"11884544\"] \n  3 -> 7 [size =\"11884544\"]\n  3 -> 8 [size =\"11884544\"]\n  3 -> 9 [size =\"11884544\"]\n  3 -> 11 [size =\"11884544\"]\n  4 [size=\"41400320\", alpha=\"0.14\", expect_size=\"12420096\"] \n  5 [size=\"67512320\", alpha=\"0.05\", expect_size=\"20253696\"] \n  5 -> 7 [size =\"20253696\"]\n  5 -> 10 [size =\"20253696\"]\n  5 -> 11 [size =\"20253696\"]\n  6 [size=\"116742827\", alpha=\"0.05\", expect_size=\"35022848\"] \n  6 -> 8 [size =\"35022848\"]\n  6 -> 11 [size =\"35022848\"]\n  7 [size=\"90828800\", alpha=\"0.08\", expect_size=\"27248640\"] \n  7 -> 12 [size =\"27248640\"]\n  7 -> 13 [size =\"27248640\"]\n  7 -> 14 [size =\"27248640\"]\n  8 [size=\"114971307\", alpha=\"0.02\", expect_size=\"34491392\"] \n  8 -> 12 [size =\"34491392\"]\n  9 [size=\"65846613\", alpha=\"0.11\", expect_size=\"19753984\"] \n  10 [size=\"59132587\", alpha=\"0.15\", expect_size=\"17739776\"] \n  11 [size=\"169004373\", alpha=\"0.12\", expect_size=\"50701312\"] \n  11 -> 15 [size =\"50701312\"]\n  12 [size=\"147244373\", alpha=\"0.03\", expect_size=\"44173312\"] \n  12 -> 18 [size =\"44173312\"]\n  13 [size=\"161617920\", alpha=\"0.05\", expect_size=\"48485376\"] \n  13 -> 16 [size =\"48485376\"]\n  13 -> 18 [size =\"48485376\"]\n  14 [size=\"36290560\", alpha=\"0.16\", expect_size=\"10887168\"] \n  14 -> 17 [size =\"10887168\"]\n  15 [size=\"149026133\", alpha=\"0.05\", expect_size=\"44707840\"] \n  15 -> 19 [size =\"44707840\"]\n  16 [size=\"30068053\", alpha=\"0.16\", expect_size=\"9020416\"] \n  16 -> 20 [size =\"9020416\"]\n  16 -> 23 [size =\"9020416\"]\n  17 [size=\"67126613\", alpha=\"0.01\", expect_size=\"20137984\"] \n  18 [size=\"132846933\", alpha=\"0.15\", expect_size=\"39854080\"] \n  18 -> 22 [size =\"39854080\"]\n  18 -> 24 [size =\"39854080\"]\n  18 -> 26 [size =\"39854080\"]\n  19 [size=\"151982080\", alpha=\"0.18\", expect_size=\"45594624\"] \n  19 -> 21 [size =\"45594624\"]\n  19 -> 22 [size =\"45594624\"]\n  19 -> 23 [size =\"45594624\"]\n  19 -> 25 [size =\"45594624\"]\n  19 -> 26 [size =\"45594624\"]\n  20 [size=\"83012267\", alpha=\"0.09\", expect_size=\"24903680\"] \n  20 -> 29 [size =\"24903680\"]\n  21 [size=\"45550933\", alpha=\"0.15\", expect_size=\"13665280\"] \n  22 [size=\"140861440\", alpha=\"0.03\", expect_size=\"42258432\"] \n  23 [size=\"161935360\", alpha=\"0.14\", expect_size=\"48580608\"] \n  23 -> 28 [size =\"48580608\"]\n  23 -> 30 [size =\"48580608\"]\n  24 [size=\"45448533\", alpha=\"0.08\", expect_size=\"13634560\"] \n  25 [size=\"170335573\", alpha=\"0.09\", expect_size=\"51100672\"] \n  26 [size=\"52145493\", alpha=\"0.02\", expect_size=\"15643648\"] \n  26 -> 27 [size =\"15643648\"]\n  26 -> 29 [size =\"15643648\"]\n  27 [size=\"19350187\", alpha=\"0.05\", expect_size=\"5805056\"] \n  27 -> 33 [size =\"5805056\"]\n  28 [size=\"25866240\", alpha=\"0.20\", expect_size=\"7759872\"] \n  28 -> 31 [size =\"7759872\"]\n  28 -> 33 [size =\"7759872\"]\n  29 [size=\"145032533\", alpha=\"0.01\", expect_size=\"43509760\"] \n  30 [size=\"125996373\", alpha=\"0.07\", expect_size=\"37798912\"] \n  30 -> 32 [size =\"37798912\"]\n  31 [size=\"37236053\", alpha=\"0.13\", expect_size=\"11170816\"] \n  31 -> 34 [size =\"11170816\"]\n  31 -> 35 [size =\"11170816\"]\n  32 [size=\"151493973\", alpha=\"0.15\", expect_size=\"45448192\"] \n  33 [size=\"174465707\", alpha=\"0.16\", expect_size=\"52339712\"] \n  33 -> 34 [size =\"52339712\"]\n  33 -> 35 [size =\"52339712\"]\n  34 [size=\"128293547\", alpha=\"0.19\", expect_size=\"38488064\"] \n  35 [size=\"36904960\", alpha=\"0.18\", expect_size=\"11071488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155139413\", alpha=\"0.02\", expect_size=\"46541824\"] \n  1 -> 3 [size =\"46541824\"]\n  2 [size=\"54446080\", alpha=\"0.00\", expect_size=\"16333824\"] \n  2 -> 4 [size =\"16333824\"]\n  3 [size=\"134922240\", alpha=\"0.12\", expect_size=\"40476672\"] \n  3 -> 5 [size =\"40476672\"]\n  4 [size=\"28409173\", alpha=\"0.00\", expect_size=\"8522752\"] \n  5 [size=\"151968427\", alpha=\"0.00\", expect_size=\"45590528\"] \n  5 -> 6 [size =\"45590528\"]\n  5 -> 7 [size =\"45590528\"]\n  6 [size=\"53981867\", alpha=\"0.07\", expect_size=\"16194560\"] \n  7 [size=\"83978240\", alpha=\"0.08\", expect_size=\"25193472\"] \n  7 -> 8 [size =\"25193472\"]\n  8 [size=\"93637973\", alpha=\"0.16\", expect_size=\"28091392\"] \n  8 -> 9 [size =\"28091392\"]\n  8 -> 10 [size =\"28091392\"]\n  9 [size=\"20421973\", alpha=\"0.07\", expect_size=\"6126592\"] \n  9 -> 11 [size =\"6126592\"]\n  10 [size=\"121442987\", alpha=\"0.17\", expect_size=\"36432896\"] \n  11 [size=\"72024747\", alpha=\"0.09\", expect_size=\"21607424\"] \n  11 -> 12 [size =\"21607424\"]\n  11 -> 13 [size =\"21607424\"]\n  12 [size=\"86616747\", alpha=\"0.18\", expect_size=\"25985024\"] \n  12 -> 14 [size =\"25985024\"]\n  13 [size=\"88384853\", alpha=\"0.07\", expect_size=\"26515456\"] \n  14 [size=\"23702187\", alpha=\"0.13\", expect_size=\"7110656\"] \n  14 -> 15 [size =\"7110656\"]\n  15 [size=\"24954880\", alpha=\"0.06\", expect_size=\"7486464\"] \n  15 -> 16 [size =\"7486464\"]\n  16 [size=\"27736747\", alpha=\"0.09\", expect_size=\"8321024\"] \n  16 -> 17 [size =\"8321024\"]\n  17 [size=\"81793707\", alpha=\"0.13\", expect_size=\"24538112\"] \n  17 -> 18 [size =\"24538112\"]\n  18 [size=\"142008320\", alpha=\"0.01\", expect_size=\"42602496\"] \n  18 -> 19 [size =\"42602496\"]\n  19 [size=\"110107307\", alpha=\"0.18\", expect_size=\"33032192\"] \n  19 -> 20 [size =\"33032192\"]\n  20 [size=\"165502293\", alpha=\"0.02\", expect_size=\"49650688\"] \n  20 -> 21 [size =\"49650688\"]\n  21 [size=\"141076480\", alpha=\"0.04\", expect_size=\"42322944\"] \n  21 -> 22 [size =\"42322944\"]\n  22 [size=\"58344107\", alpha=\"0.11\", expect_size=\"17503232\"] \n  22 -> 23 [size =\"17503232\"]\n  23 [size=\"43919360\", alpha=\"0.12\", expect_size=\"13175808\"] \n  23 -> 24 [size =\"13175808\"]\n  24 [size=\"98983253\", alpha=\"0.15\", expect_size=\"29694976\"] \n  24 -> 25 [size =\"29694976\"]\n  24 -> 26 [size =\"29694976\"]\n  25 [size=\"46366720\", alpha=\"0.15\", expect_size=\"13910016\"] \n  25 -> 27 [size =\"13910016\"]\n  26 [size=\"96983040\", alpha=\"0.19\", expect_size=\"29094912\"] \n  27 [size=\"163997013\", alpha=\"0.13\", expect_size=\"49199104\"] \n  27 -> 28 [size =\"49199104\"]\n  27 -> 29 [size =\"49199104\"]\n  28 [size=\"108741973\", alpha=\"0.15\", expect_size=\"32622592\"] \n  28 -> 30 [size =\"32622592\"]\n  28 -> 31 [size =\"32622592\"]\n  29 [size=\"115875840\", alpha=\"0.18\", expect_size=\"34762752\"] \n  30 [size=\"99703467\", alpha=\"0.15\", expect_size=\"29911040\"] \n  31 [size=\"117517653\", alpha=\"0.18\", expect_size=\"35255296\"] \n  31 -> 32 [size =\"35255296\"]\n  32 [size=\"149701973\", alpha=\"0.10\", expect_size=\"44910592\"] \n  32 -> 33 [size =\"44910592\"]\n  33 [size=\"75936427\", alpha=\"0.11\", expect_size=\"22780928\"] \n  33 -> 34 [size =\"22780928\"]\n  33 -> 35 [size =\"22780928\"]\n  34 [size=\"170960213\", alpha=\"0.13\", expect_size=\"51288064\"] \n  35 [size=\"131130027\", alpha=\"0.16\", expect_size=\"39339008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93145088\", alpha=\"0.15\", expect_size=\"46572544\"] \n  1 -> 2 [size =\"46572544\"]\n  2 [size=\"81143808\", alpha=\"0.19\", expect_size=\"40571904\"] \n  2 -> 3 [size =\"40571904\"]\n  3 [size=\"71012352\", alpha=\"0.11\", expect_size=\"35506176\"] \n  3 -> 4 [size =\"35506176\"]\n  4 [size=\"51222528\", alpha=\"0.10\", expect_size=\"25611264\"] \n  4 -> 5 [size =\"25611264\"]\n  5 [size=\"43667456\", alpha=\"0.16\", expect_size=\"21833728\"] \n  5 -> 6 [size =\"21833728\"]\n  6 [size=\"76941312\", alpha=\"0.09\", expect_size=\"38470656\"] \n  6 -> 7 [size =\"38470656\"]\n  7 [size=\"33642496\", alpha=\"0.08\", expect_size=\"16821248\"] \n  7 -> 8 [size =\"16821248\"]\n  8 [size=\"93696000\", alpha=\"0.08\", expect_size=\"46848000\"] \n  8 -> 9 [size =\"46848000\"]\n  9 [size=\"71811072\", alpha=\"0.01\", expect_size=\"35905536\"] \n  9 -> 10 [size =\"35905536\"]\n  10 [size=\"62492672\", alpha=\"0.17\", expect_size=\"31246336\"] \n  10 -> 11 [size =\"31246336\"]\n  11 [size=\"73480192\", alpha=\"0.18\", expect_size=\"36740096\"] \n  11 -> 12 [size =\"36740096\"]\n  12 [size=\"50323456\", alpha=\"0.18\", expect_size=\"25161728\"] \n  12 -> 13 [size =\"25161728\"]\n  13 [size=\"43710464\", alpha=\"0.04\", expect_size=\"21855232\"] \n  13 -> 14 [size =\"21855232\"]\n  14 [size=\"95997952\", alpha=\"0.12\", expect_size=\"47998976\"] \n  14 -> 15 [size =\"47998976\"]\n  15 [size=\"49475584\", alpha=\"0.14\", expect_size=\"24737792\"] \n  15 -> 16 [size =\"24737792\"]\n  16 [size=\"30728192\", alpha=\"0.07\", expect_size=\"15364096\"] \n  16 -> 17 [size =\"15364096\"]\n  17 [size=\"73871360\", alpha=\"0.03\", expect_size=\"36935680\"] \n  17 -> 18 [size =\"36935680\"]\n  18 [size=\"17211392\", alpha=\"0.14\", expect_size=\"8605696\"] \n  18 -> 19 [size =\"8605696\"]\n  19 [size=\"55803904\", alpha=\"0.02\", expect_size=\"27901952\"] \n  19 -> 20 [size =\"27901952\"]\n  20 [size=\"61661184\", alpha=\"0.04\", expect_size=\"30830592\"] \n  20 -> 21 [size =\"30830592\"]\n  21 [size=\"45180928\", alpha=\"0.04\", expect_size=\"22590464\"] \n  21 -> 22 [size =\"22590464\"]\n  22 [size=\"35819520\", alpha=\"0.18\", expect_size=\"17909760\"] \n  22 -> 23 [size =\"17909760\"]\n  23 [size=\"28698624\", alpha=\"0.06\", expect_size=\"14349312\"] \n  23 -> 24 [size =\"14349312\"]\n  24 [size=\"49055744\", alpha=\"0.02\", expect_size=\"24527872\"] \n  24 -> 25 [size =\"24527872\"]\n  25 [size=\"11626496\", alpha=\"0.05\", expect_size=\"5813248\"] \n  25 -> 26 [size =\"5813248\"]\n  26 [size=\"76535808\", alpha=\"0.02\", expect_size=\"38267904\"] \n  26 -> 27 [size =\"38267904\"]\n  27 [size=\"16623616\", alpha=\"0.04\", expect_size=\"8311808\"] \n  27 -> 28 [size =\"8311808\"]\n  28 [size=\"29921280\", alpha=\"0.03\", expect_size=\"14960640\"] \n  28 -> 29 [size =\"14960640\"]\n  29 [size=\"96165888\", alpha=\"0.16\", expect_size=\"48082944\"] \n  29 -> 30 [size =\"48082944\"]\n  30 [size=\"12601344\", alpha=\"0.19\", expect_size=\"6300672\"] \n  30 -> 31 [size =\"6300672\"]\n  31 [size=\"32841728\", alpha=\"0.16\", expect_size=\"16420864\"] \n  31 -> 32 [size =\"16420864\"]\n  32 [size=\"50798592\", alpha=\"0.02\", expect_size=\"25399296\"] \n  32 -> 33 [size =\"25399296\"]\n  33 [size=\"42764288\", alpha=\"0.14\", expect_size=\"21382144\"] \n  33 -> 34 [size =\"21382144\"]\n  34 [size=\"69261312\", alpha=\"0.05\", expect_size=\"34630656\"] \n  34 -> 35 [size =\"34630656\"]\n  35 [size=\"76660736\", alpha=\"0.04\", expect_size=\"38330368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70231040\", alpha=\"0.12\", expect_size=\"28092416\"] \n  1 -> 2 [size =\"28092416\"]\n  2 [size=\"41541120\", alpha=\"0.01\", expect_size=\"16616448\"] \n  2 -> 3 [size =\"16616448\"]\n  3 [size=\"92024320\", alpha=\"0.04\", expect_size=\"36809728\"] \n  3 -> 4 [size =\"36809728\"]\n  4 [size=\"61468160\", alpha=\"0.12\", expect_size=\"24587264\"] \n  4 -> 5 [size =\"24587264\"]\n  5 [size=\"22474240\", alpha=\"0.07\", expect_size=\"8989696\"] \n  5 -> 6 [size =\"8989696\"]\n  6 [size=\"105973760\", alpha=\"0.01\", expect_size=\"42389504\"] \n  6 -> 7 [size =\"42389504\"]\n  7 [size=\"37030400\", alpha=\"0.05\", expect_size=\"14812160\"] \n  7 -> 8 [size =\"14812160\"]\n  8 [size=\"91059200\", alpha=\"0.14\", expect_size=\"36423680\"] \n  8 -> 9 [size =\"36423680\"]\n  9 [size=\"14251520\", alpha=\"0.12\", expect_size=\"5700608\"] \n  9 -> 10 [size =\"5700608\"]\n  10 [size=\"24243200\", alpha=\"0.12\", expect_size=\"9697280\"] \n  10 -> 11 [size =\"9697280\"]\n  11 [size=\"93754880\", alpha=\"0.04\", expect_size=\"37501952\"] \n  11 -> 12 [size =\"37501952\"]\n  12 [size=\"47685120\", alpha=\"0.16\", expect_size=\"19074048\"] \n  12 -> 13 [size =\"19074048\"]\n  13 [size=\"56504320\", alpha=\"0.11\", expect_size=\"22601728\"] \n  13 -> 14 [size =\"22601728\"]\n  14 [size=\"79275520\", alpha=\"0.08\", expect_size=\"31710208\"] \n  14 -> 15 [size =\"31710208\"]\n  15 [size=\"29985280\", alpha=\"0.04\", expect_size=\"11994112\"] \n  15 -> 16 [size =\"11994112\"]\n  16 [size=\"68759040\", alpha=\"0.05\", expect_size=\"27503616\"] \n  16 -> 17 [size =\"27503616\"]\n  17 [size=\"73280000\", alpha=\"0.04\", expect_size=\"29312000\"] \n  17 -> 18 [size =\"29312000\"]\n  18 [size=\"104816640\", alpha=\"0.00\", expect_size=\"41926656\"] \n  18 -> 19 [size =\"41926656\"]\n  19 [size=\"70410240\", alpha=\"0.04\", expect_size=\"28164096\"] \n  19 -> 20 [size =\"28164096\"]\n  20 [size=\"24583680\", alpha=\"0.14\", expect_size=\"9833472\"] \n  20 -> 21 [size =\"9833472\"]\n  21 [size=\"95441920\", alpha=\"0.14\", expect_size=\"38176768\"] \n  21 -> 22 [size =\"38176768\"]\n  22 [size=\"118039040\", alpha=\"0.19\", expect_size=\"47215616\"] \n  22 -> 23 [size =\"47215616\"]\n  23 [size=\"95854080\", alpha=\"0.16\", expect_size=\"38341632\"] \n  23 -> 24 [size =\"38341632\"]\n  24 [size=\"41454080\", alpha=\"0.03\", expect_size=\"16581632\"] \n  24 -> 25 [size =\"16581632\"]\n  25 [size=\"90019840\", alpha=\"0.10\", expect_size=\"36007936\"] \n  25 -> 26 [size =\"36007936\"]\n  26 [size=\"115443200\", alpha=\"0.14\", expect_size=\"46177280\"] \n  26 -> 27 [size =\"46177280\"]\n  27 [size=\"25006080\", alpha=\"0.01\", expect_size=\"10002432\"] \n  27 -> 28 [size =\"10002432\"]\n  28 [size=\"49592320\", alpha=\"0.02\", expect_size=\"19836928\"] \n  28 -> 29 [size =\"19836928\"]\n  29 [size=\"52144640\", alpha=\"0.03\", expect_size=\"20857856\"] \n  29 -> 30 [size =\"20857856\"]\n  30 [size=\"76920320\", alpha=\"0.06\", expect_size=\"30768128\"] \n  30 -> 31 [size =\"30768128\"]\n  31 [size=\"43028480\", alpha=\"0.02\", expect_size=\"17211392\"] \n  31 -> 32 [size =\"17211392\"]\n  32 [size=\"125552640\", alpha=\"0.05\", expect_size=\"50221056\"] \n  32 -> 33 [size =\"50221056\"]\n  33 [size=\"117007360\", alpha=\"0.14\", expect_size=\"46802944\"] \n  33 -> 34 [size =\"46802944\"]\n  34 [size=\"96307200\", alpha=\"0.15\", expect_size=\"38522880\"] \n  34 -> 35 [size =\"38522880\"]\n  35 [size=\"111815680\", alpha=\"0.19\", expect_size=\"44726272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78065664\", alpha=\"0.01\", expect_size=\"39032832\"] \n  1 -> 21 [size =\"39032832\"]\n  1 -> 22 [size =\"39032832\"]\n  1 -> 23 [size =\"39032832\"]\n  1 -> 24 [size =\"39032832\"]\n  1 -> 25 [size =\"39032832\"]\n  1 -> 26 [size =\"39032832\"]\n  1 -> 27 [size =\"39032832\"]\n  1 -> 28 [size =\"39032832\"]\n  1 -> 31 [size =\"39032832\"]\n  1 -> 33 [size =\"39032832\"]\n  1 -> 35 [size =\"39032832\"]\n  2 [size=\"34494464\", alpha=\"0.09\", expect_size=\"17247232\"] \n  2 -> 21 [size =\"17247232\"]\n  2 -> 23 [size =\"17247232\"]\n  2 -> 25 [size =\"17247232\"]\n  2 -> 26 [size =\"17247232\"]\n  2 -> 27 [size =\"17247232\"]\n  2 -> 28 [size =\"17247232\"]\n  2 -> 29 [size =\"17247232\"]\n  2 -> 30 [size =\"17247232\"]\n  2 -> 31 [size =\"17247232\"]\n  2 -> 32 [size =\"17247232\"]\n  2 -> 33 [size =\"17247232\"]\n  2 -> 35 [size =\"17247232\"]\n  3 [size=\"63324160\", alpha=\"0.18\", expect_size=\"31662080\"] \n  3 -> 21 [size =\"31662080\"]\n  3 -> 22 [size =\"31662080\"]\n  3 -> 23 [size =\"31662080\"]\n  3 -> 25 [size =\"31662080\"]\n  3 -> 26 [size =\"31662080\"]\n  3 -> 28 [size =\"31662080\"]\n  3 -> 29 [size =\"31662080\"]\n  3 -> 31 [size =\"31662080\"]\n  3 -> 32 [size =\"31662080\"]\n  3 -> 35 [size =\"31662080\"]\n  4 [size=\"19146752\", alpha=\"0.18\", expect_size=\"9573376\"] \n  4 -> 21 [size =\"9573376\"]\n  4 -> 24 [size =\"9573376\"]\n  4 -> 25 [size =\"9573376\"]\n  4 -> 25 [size =\"9573376\"]\n  4 -> 26 [size =\"9573376\"]\n  4 -> 27 [size =\"9573376\"]\n  4 -> 29 [size =\"9573376\"]\n  4 -> 33 [size =\"9573376\"]\n  5 [size=\"65245184\", alpha=\"0.06\", expect_size=\"32622592\"] \n  5 -> 21 [size =\"32622592\"]\n  5 -> 24 [size =\"32622592\"]\n  5 -> 25 [size =\"32622592\"]\n  5 -> 27 [size =\"32622592\"]\n  5 -> 30 [size =\"32622592\"]\n  6 [size=\"31778816\", alpha=\"0.04\", expect_size=\"15889408\"] \n  6 -> 24 [size =\"15889408\"]\n  6 -> 24 [size =\"15889408\"]\n  6 -> 28 [size =\"15889408\"]\n  6 -> 31 [size =\"15889408\"]\n  6 -> 35 [size =\"15889408\"]\n  7 [size=\"32937984\", alpha=\"0.19\", expect_size=\"16468992\"] \n  7 -> 23 [size =\"16468992\"]\n  7 -> 31 [size =\"16468992\"]\n  7 -> 34 [size =\"16468992\"]\n  7 -> 35 [size =\"16468992\"]\n  8 [size=\"89827328\", alpha=\"0.02\", expect_size=\"44913664\"] \n  8 -> 23 [size =\"44913664\"]\n  8 -> 25 [size =\"44913664\"]\n  8 -> 26 [size =\"44913664\"]\n  8 -> 28 [size =\"44913664\"]\n  8 -> 30 [size =\"44913664\"]\n  8 -> 31 [size =\"44913664\"]\n  8 -> 35 [size =\"44913664\"]\n  9 [size=\"29798400\", alpha=\"0.19\", expect_size=\"14899200\"] \n  9 -> 21 [size =\"14899200\"]\n  9 -> 23 [size =\"14899200\"]\n  9 -> 24 [size =\"14899200\"]\n  9 -> 26 [size =\"14899200\"]\n  9 -> 29 [size =\"14899200\"]\n  9 -> 31 [size =\"14899200\"]\n  9 -> 33 [size =\"14899200\"]\n  10 [size=\"102858752\", alpha=\"0.06\", expect_size=\"51429376\"] \n  10 -> 24 [size =\"51429376\"]\n  10 -> 26 [size =\"51429376\"]\n  10 -> 27 [size =\"51429376\"]\n  10 -> 28 [size =\"51429376\"]\n  10 -> 30 [size =\"51429376\"]\n  10 -> 31 [size =\"51429376\"]\n  10 -> 33 [size =\"51429376\"]\n  10 -> 35 [size =\"51429376\"]\n  11 [size=\"23748608\", alpha=\"0.03\", expect_size=\"11874304\"] \n  11 -> 24 [size =\"11874304\"]\n  11 -> 26 [size =\"11874304\"]\n  11 -> 27 [size =\"11874304\"]\n  11 -> 28 [size =\"11874304\"]\n  11 -> 30 [size =\"11874304\"]\n  11 -> 35 [size =\"11874304\"]\n  12 [size=\"29061120\", alpha=\"0.00\", expect_size=\"14530560\"] \n  12 -> 21 [size =\"14530560\"]\n  12 -> 24 [size =\"14530560\"]\n  12 -> 28 [size =\"14530560\"]\n  12 -> 33 [size =\"14530560\"]\n  12 -> 35 [size =\"14530560\"]\n  13 [size=\"72720384\", alpha=\"0.17\", expect_size=\"36360192\"] \n  13 -> 22 [size =\"36360192\"]\n  13 -> 25 [size =\"36360192\"]\n  13 -> 33 [size =\"36360192\"]\n  13 -> 33 [size =\"36360192\"]\n  13 -> 35 [size =\"36360192\"]\n  14 [size=\"64360448\", alpha=\"0.16\", expect_size=\"32180224\"] \n  14 -> 21 [size =\"32180224\"]\n  14 -> 23 [size =\"32180224\"]\n  14 -> 28 [size =\"32180224\"]\n  15 [size=\"54337536\", alpha=\"0.03\", expect_size=\"27168768\"] \n  15 -> 22 [size =\"27168768\"]\n  15 -> 24 [size =\"27168768\"]\n  15 -> 29 [size =\"27168768\"]\n  15 -> 32 [size =\"27168768\"]\n  15 -> 35 [size =\"27168768\"]\n  16 [size=\"81072128\", alpha=\"0.07\", expect_size=\"40536064\"] \n  16 -> 21 [size =\"40536064\"]\n  16 -> 25 [size =\"40536064\"]\n  16 -> 26 [size =\"40536064\"]\n  16 -> 29 [size =\"40536064\"]\n  16 -> 32 [size =\"40536064\"]\n  16 -> 33 [size =\"40536064\"]\n  17 [size=\"97748992\", alpha=\"0.03\", expect_size=\"48874496\"] \n  17 -> 23 [size =\"48874496\"]\n  17 -> 26 [size =\"48874496\"]\n  17 -> 27 [size =\"48874496\"]\n  17 -> 28 [size =\"48874496\"]\n  17 -> 31 [size =\"48874496\"]\n  17 -> 32 [size =\"48874496\"]\n  18 [size=\"92811264\", alpha=\"0.01\", expect_size=\"46405632\"] \n  18 -> 21 [size =\"46405632\"]\n  18 -> 23 [size =\"46405632\"]\n  18 -> 25 [size =\"46405632\"]\n  18 -> 26 [size =\"46405632\"]\n  18 -> 28 [size =\"46405632\"]\n  18 -> 32 [size =\"46405632\"]\n  18 -> 33 [size =\"46405632\"]\n  19 [size=\"101904384\", alpha=\"0.19\", expect_size=\"50952192\"] \n  19 -> 22 [size =\"50952192\"]\n  19 -> 23 [size =\"50952192\"]\n  19 -> 24 [size =\"50952192\"]\n  19 -> 25 [size =\"50952192\"]\n  19 -> 26 [size =\"50952192\"]\n  19 -> 27 [size =\"50952192\"]\n  19 -> 29 [size =\"50952192\"]\n  19 -> 31 [size =\"50952192\"]\n  19 -> 32 [size =\"50952192\"]\n  19 -> 35 [size =\"50952192\"]\n  20 [size=\"97685504\", alpha=\"0.17\", expect_size=\"48842752\"] \n  20 -> 21 [size =\"48842752\"]\n  20 -> 25 [size =\"48842752\"]\n  20 -> 28 [size =\"48842752\"]\n  20 -> 31 [size =\"48842752\"]\n  20 -> 32 [size =\"48842752\"]\n  20 -> 33 [size =\"48842752\"]\n  21 [size=\"32194560\", alpha=\"0.09\", expect_size=\"16097280\"] \n  22 [size=\"47534080\", alpha=\"0.06\", expect_size=\"23767040\"] \n  23 [size=\"49809408\", alpha=\"0.14\", expect_size=\"24904704\"] \n  24 [size=\"37584896\", alpha=\"0.05\", expect_size=\"18792448\"] \n  25 [size=\"18644992\", alpha=\"0.06\", expect_size=\"9322496\"] \n  26 [size=\"35067904\", alpha=\"0.13\", expect_size=\"17533952\"] \n  27 [size=\"68843520\", alpha=\"0.04\", expect_size=\"34421760\"] \n  28 [size=\"80715776\", alpha=\"0.12\", expect_size=\"40357888\"] \n  29 [size=\"83720192\", alpha=\"0.04\", expect_size=\"41860096\"] \n  30 [size=\"77787136\", alpha=\"0.16\", expect_size=\"38893568\"] \n  31 [size=\"61558784\", alpha=\"0.10\", expect_size=\"30779392\"] \n  32 [size=\"102610944\", alpha=\"0.08\", expect_size=\"51305472\"] \n  33 [size=\"36214784\", alpha=\"0.20\", expect_size=\"18107392\"] \n  34 [size=\"103948288\", alpha=\"0.03\", expect_size=\"51974144\"] \n  35 [size=\"31363072\", alpha=\"0.15\", expect_size=\"15681536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146261333\", alpha=\"0.08\", expect_size=\"43878400\"] \n  1 -> 14 [size =\"43878400\"]\n  1 -> 15 [size =\"43878400\"]\n  1 -> 19 [size =\"43878400\"]\n  1 -> 21 [size =\"43878400\"]\n  1 -> 22 [size =\"43878400\"]\n  1 -> 23 [size =\"43878400\"]\n  1 -> 26 [size =\"43878400\"]\n  1 -> 27 [size =\"43878400\"]\n  1 -> 28 [size =\"43878400\"]\n  1 -> 28 [size =\"43878400\"]\n  1 -> 31 [size =\"43878400\"]\n  1 -> 31 [size =\"43878400\"]\n  1 -> 33 [size =\"43878400\"]\n  1 -> 35 [size =\"43878400\"]\n  2 [size=\"47851520\", alpha=\"0.01\", expect_size=\"14355456\"] \n  2 -> 14 [size =\"14355456\"]\n  2 -> 15 [size =\"14355456\"]\n  2 -> 24 [size =\"14355456\"]\n  2 -> 29 [size =\"14355456\"]\n  2 -> 31 [size =\"14355456\"]\n  2 -> 35 [size =\"14355456\"]\n  3 [size=\"43834027\", alpha=\"0.09\", expect_size=\"13150208\"] \n  3 -> 14 [size =\"13150208\"]\n  3 -> 15 [size =\"13150208\"]\n  3 -> 17 [size =\"13150208\"]\n  3 -> 21 [size =\"13150208\"]\n  3 -> 22 [size =\"13150208\"]\n  3 -> 26 [size =\"13150208\"]\n  3 -> 28 [size =\"13150208\"]\n  3 -> 31 [size =\"13150208\"]\n  3 -> 32 [size =\"13150208\"]\n  4 [size=\"160890880\", alpha=\"0.10\", expect_size=\"48267264\"] \n  4 -> 15 [size =\"48267264\"]\n  4 -> 20 [size =\"48267264\"]\n  4 -> 26 [size =\"48267264\"]\n  4 -> 28 [size =\"48267264\"]\n  4 -> 31 [size =\"48267264\"]\n  4 -> 32 [size =\"48267264\"]\n  4 -> 34 [size =\"48267264\"]\n  4 -> 35 [size =\"48267264\"]\n  5 [size=\"105420800\", alpha=\"0.13\", expect_size=\"31626240\"] \n  5 -> 16 [size =\"31626240\"]\n  5 -> 23 [size =\"31626240\"]\n  5 -> 26 [size =\"31626240\"]\n  5 -> 28 [size =\"31626240\"]\n  5 -> 29 [size =\"31626240\"]\n  5 -> 34 [size =\"31626240\"]\n  6 [size=\"135311360\", alpha=\"0.20\", expect_size=\"40593408\"] \n  6 -> 16 [size =\"40593408\"]\n  6 -> 19 [size =\"40593408\"]\n  6 -> 22 [size =\"40593408\"]\n  6 -> 26 [size =\"40593408\"]\n  6 -> 33 [size =\"40593408\"]\n  7 [size=\"76738560\", alpha=\"0.07\", expect_size=\"23021568\"] \n  7 -> 16 [size =\"23021568\"]\n  7 -> 22 [size =\"23021568\"]\n  7 -> 26 [size =\"23021568\"]\n  7 -> 33 [size =\"23021568\"]\n  7 -> 34 [size =\"23021568\"]\n  7 -> 35 [size =\"23021568\"]\n  8 [size=\"29433173\", alpha=\"0.01\", expect_size=\"8829952\"] \n  8 -> 14 [size =\"8829952\"]\n  8 -> 15 [size =\"8829952\"]\n  8 -> 16 [size =\"8829952\"]\n  8 -> 18 [size =\"8829952\"]\n  8 -> 20 [size =\"8829952\"]\n  8 -> 21 [size =\"8829952\"]\n  8 -> 28 [size =\"8829952\"]\n  8 -> 34 [size =\"8829952\"]\n  8 -> 35 [size =\"8829952\"]\n  9 [size=\"114336427\", alpha=\"0.12\", expect_size=\"34300928\"] \n  9 -> 14 [size =\"34300928\"]\n  9 -> 15 [size =\"34300928\"]\n  9 -> 19 [size =\"34300928\"]\n  9 -> 20 [size =\"34300928\"]\n  9 -> 26 [size =\"34300928\"]\n  9 -> 28 [size =\"34300928\"]\n  9 -> 29 [size =\"34300928\"]\n  9 -> 34 [size =\"34300928\"]\n  9 -> 35 [size =\"34300928\"]\n  10 [size=\"32631467\", alpha=\"0.14\", expect_size=\"9789440\"] \n  10 -> 14 [size =\"9789440\"]\n  10 -> 19 [size =\"9789440\"]\n  10 -> 21 [size =\"9789440\"]\n  10 -> 23 [size =\"9789440\"]\n  10 -> 24 [size =\"9789440\"]\n  10 -> 26 [size =\"9789440\"]\n  10 -> 27 [size =\"9789440\"]\n  10 -> 28 [size =\"9789440\"]\n  10 -> 31 [size =\"9789440\"]\n  10 -> 35 [size =\"9789440\"]\n  11 [size=\"108997973\", alpha=\"0.14\", expect_size=\"32699392\"] \n  11 -> 14 [size =\"32699392\"]\n  11 -> 18 [size =\"32699392\"]\n  11 -> 21 [size =\"32699392\"]\n  11 -> 23 [size =\"32699392\"]\n  11 -> 24 [size =\"32699392\"]\n  11 -> 27 [size =\"32699392\"]\n  11 -> 28 [size =\"32699392\"]\n  11 -> 32 [size =\"32699392\"]\n  11 -> 34 [size =\"32699392\"]\n  12 [size=\"17995093\", alpha=\"0.15\", expect_size=\"5398528\"] \n  12 -> 16 [size =\"5398528\"]\n  12 -> 18 [size =\"5398528\"]\n  12 -> 26 [size =\"5398528\"]\n  12 -> 27 [size =\"5398528\"]\n  12 -> 28 [size =\"5398528\"]\n  13 [size=\"25685333\", alpha=\"0.15\", expect_size=\"7705600\"] \n  13 -> 14 [size =\"7705600\"]\n  13 -> 15 [size =\"7705600\"]\n  13 -> 16 [size =\"7705600\"]\n  13 -> 17 [size =\"7705600\"]\n  13 -> 19 [size =\"7705600\"]\n  13 -> 21 [size =\"7705600\"]\n  13 -> 25 [size =\"7705600\"]\n  13 -> 26 [size =\"7705600\"]\n  13 -> 27 [size =\"7705600\"]\n  13 -> 28 [size =\"7705600\"]\n  13 -> 30 [size =\"7705600\"]\n  13 -> 31 [size =\"7705600\"]\n  14 [size=\"92617387\", alpha=\"0.20\", expect_size=\"27785216\"] \n  15 [size=\"169888427\", alpha=\"0.15\", expect_size=\"50966528\"] \n  16 [size=\"113090560\", alpha=\"0.07\", expect_size=\"33927168\"] \n  17 [size=\"111660373\", alpha=\"0.04\", expect_size=\"33498112\"] \n  18 [size=\"165372587\", alpha=\"0.11\", expect_size=\"49611776\"] \n  19 [size=\"171724800\", alpha=\"0.07\", expect_size=\"51517440\"] \n  20 [size=\"112325973\", alpha=\"0.09\", expect_size=\"33697792\"] \n  21 [size=\"62907733\", alpha=\"0.07\", expect_size=\"18872320\"] \n  22 [size=\"169489067\", alpha=\"0.09\", expect_size=\"50846720\"] \n  23 [size=\"131034453\", alpha=\"0.15\", expect_size=\"39310336\"] \n  24 [size=\"93986133\", alpha=\"0.19\", expect_size=\"28195840\"] \n  25 [size=\"92098560\", alpha=\"0.14\", expect_size=\"27629568\"] \n  26 [size=\"56371200\", alpha=\"0.04\", expect_size=\"16911360\"] \n  27 [size=\"108687360\", alpha=\"0.02\", expect_size=\"32606208\"] \n  28 [size=\"139656533\", alpha=\"0.01\", expect_size=\"41896960\"] \n  29 [size=\"68604587\", alpha=\"0.13\", expect_size=\"20581376\"] \n  30 [size=\"120309760\", alpha=\"0.06\", expect_size=\"36092928\"] \n  31 [size=\"31214933\", alpha=\"0.11\", expect_size=\"9364480\"] \n  32 [size=\"87391573\", alpha=\"0.16\", expect_size=\"26217472\"] \n  33 [size=\"161931947\", alpha=\"0.02\", expect_size=\"48579584\"] \n  34 [size=\"123904000\", alpha=\"0.18\", expect_size=\"37171200\"] \n  35 [size=\"116725760\", alpha=\"0.13\", expect_size=\"35017728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70103040\", alpha=\"0.03\", expect_size=\"35051520\"] \n  1 -> 13 [size =\"35051520\"]\n  1 -> 17 [size =\"35051520\"]\n  1 -> 18 [size =\"35051520\"]\n  1 -> 19 [size =\"35051520\"]\n  1 -> 20 [size =\"35051520\"]\n  1 -> 22 [size =\"35051520\"]\n  2 [size=\"38770688\", alpha=\"0.06\", expect_size=\"19385344\"] \n  2 -> 15 [size =\"19385344\"]\n  2 -> 22 [size =\"19385344\"]\n  3 [size=\"27312128\", alpha=\"0.15\", expect_size=\"13656064\"] \n  3 -> 12 [size =\"13656064\"]\n  3 -> 15 [size =\"13656064\"]\n  3 -> 16 [size =\"13656064\"]\n  3 -> 17 [size =\"13656064\"]\n  3 -> 18 [size =\"13656064\"]\n  3 -> 19 [size =\"13656064\"]\n  3 -> 20 [size =\"13656064\"]\n  4 [size=\"12976128\", alpha=\"0.01\", expect_size=\"6488064\"] \n  4 -> 15 [size =\"6488064\"]\n  4 -> 20 [size =\"6488064\"]\n  5 [size=\"76980224\", alpha=\"0.15\", expect_size=\"38490112\"] \n  5 -> 14 [size =\"38490112\"]\n  5 -> 16 [size =\"38490112\"]\n  5 -> 20 [size =\"38490112\"]\n  6 [size=\"52672512\", alpha=\"0.10\", expect_size=\"26336256\"] \n  6 -> 14 [size =\"26336256\"]\n  6 -> 15 [size =\"26336256\"]\n  7 [size=\"55214080\", alpha=\"0.16\", expect_size=\"27607040\"] \n  7 -> 13 [size =\"27607040\"]\n  7 -> 14 [size =\"27607040\"]\n  7 -> 15 [size =\"27607040\"]\n  7 -> 16 [size =\"27607040\"]\n  7 -> 20 [size =\"27607040\"]\n  7 -> 21 [size =\"27607040\"]\n  8 [size=\"87119872\", alpha=\"0.11\", expect_size=\"43559936\"] \n  8 -> 13 [size =\"43559936\"]\n  8 -> 15 [size =\"43559936\"]\n  8 -> 21 [size =\"43559936\"]\n  9 [size=\"26834944\", alpha=\"0.04\", expect_size=\"13417472\"] \n  9 -> 13 [size =\"13417472\"]\n  9 -> 17 [size =\"13417472\"]\n  9 -> 19 [size =\"13417472\"]\n  9 -> 22 [size =\"13417472\"]\n  10 [size=\"42452992\", alpha=\"0.10\", expect_size=\"21226496\"] \n  10 -> 13 [size =\"21226496\"]\n  10 -> 15 [size =\"21226496\"]\n  10 -> 16 [size =\"21226496\"]\n  10 -> 19 [size =\"21226496\"]\n  10 -> 20 [size =\"21226496\"]\n  10 -> 22 [size =\"21226496\"]\n  11 [size=\"35276800\", alpha=\"0.16\", expect_size=\"17638400\"] \n  11 -> 13 [size =\"17638400\"]\n  11 -> 15 [size =\"17638400\"]\n  11 -> 19 [size =\"17638400\"]\n  11 -> 20 [size =\"17638400\"]\n  11 -> 20 [size =\"17638400\"]\n  11 -> 22 [size =\"17638400\"]\n  12 [size=\"47960064\", alpha=\"0.09\", expect_size=\"23980032\"] \n  12 -> 23 [size =\"23980032\"]\n  12 -> 27 [size =\"23980032\"]\n  12 -> 29 [size =\"23980032\"]\n  12 -> 31 [size =\"23980032\"]\n  12 -> 33 [size =\"23980032\"]\n  12 -> 35 [size =\"23980032\"]\n  13 [size=\"74178560\", alpha=\"0.08\", expect_size=\"37089280\"] \n  13 -> 23 [size =\"37089280\"]\n  13 -> 26 [size =\"37089280\"]\n  13 -> 27 [size =\"37089280\"]\n  13 -> 31 [size =\"37089280\"]\n  14 [size=\"49111040\", alpha=\"0.10\", expect_size=\"24555520\"] \n  14 -> 23 [size =\"24555520\"]\n  14 -> 26 [size =\"24555520\"]\n  15 [size=\"52928512\", alpha=\"0.09\", expect_size=\"26464256\"] \n  15 -> 23 [size =\"26464256\"]\n  15 -> 24 [size =\"26464256\"]\n  15 -> 27 [size =\"26464256\"]\n  15 -> 29 [size =\"26464256\"]\n  15 -> 30 [size =\"26464256\"]\n  15 -> 34 [size =\"26464256\"]\n  15 -> 35 [size =\"26464256\"]\n  16 [size=\"31690752\", alpha=\"0.06\", expect_size=\"15845376\"] \n  16 -> 24 [size =\"15845376\"]\n  16 -> 26 [size =\"15845376\"]\n  16 -> 27 [size =\"15845376\"]\n  16 -> 29 [size =\"15845376\"]\n  16 -> 34 [size =\"15845376\"]\n  16 -> 35 [size =\"15845376\"]\n  17 [size=\"80541696\", alpha=\"0.00\", expect_size=\"40270848\"] \n  17 -> 26 [size =\"40270848\"]\n  17 -> 27 [size =\"40270848\"]\n  17 -> 29 [size =\"40270848\"]\n  17 -> 35 [size =\"40270848\"]\n  18 [size=\"62896128\", alpha=\"0.10\", expect_size=\"31448064\"] \n  18 -> 23 [size =\"31448064\"]\n  18 -> 28 [size =\"31448064\"]\n  18 -> 32 [size =\"31448064\"]\n  18 -> 35 [size =\"31448064\"]\n  19 [size=\"18393088\", alpha=\"0.16\", expect_size=\"9196544\"] \n  19 -> 27 [size =\"9196544\"]\n  19 -> 31 [size =\"9196544\"]\n  19 -> 32 [size =\"9196544\"]\n  19 -> 35 [size =\"9196544\"]\n  20 [size=\"38682624\", alpha=\"0.08\", expect_size=\"19341312\"] \n  20 -> 27 [size =\"19341312\"]\n  20 -> 29 [size =\"19341312\"]\n  20 -> 31 [size =\"19341312\"]\n  21 [size=\"88152064\", alpha=\"0.12\", expect_size=\"44076032\"] \n  21 -> 23 [size =\"44076032\"]\n  21 -> 24 [size =\"44076032\"]\n  21 -> 29 [size =\"44076032\"]\n  21 -> 31 [size =\"44076032\"]\n  21 -> 32 [size =\"44076032\"]\n  21 -> 34 [size =\"44076032\"]\n  21 -> 35 [size =\"44076032\"]\n  22 [size=\"70285312\", alpha=\"0.02\", expect_size=\"35142656\"] \n  22 -> 23 [size =\"35142656\"]\n  22 -> 24 [size =\"35142656\"]\n  22 -> 25 [size =\"35142656\"]\n  22 -> 26 [size =\"35142656\"]\n  22 -> 32 [size =\"35142656\"]\n  22 -> 35 [size =\"35142656\"]\n  23 [size=\"18018304\", alpha=\"0.16\", expect_size=\"9009152\"] \n  24 [size=\"54503424\", alpha=\"0.10\", expect_size=\"27251712\"] \n  25 [size=\"99504128\", alpha=\"0.19\", expect_size=\"49752064\"] \n  26 [size=\"49842176\", alpha=\"0.16\", expect_size=\"24921088\"] \n  27 [size=\"76515328\", alpha=\"0.03\", expect_size=\"38257664\"] \n  28 [size=\"78729216\", alpha=\"0.06\", expect_size=\"39364608\"] \n  29 [size=\"33019904\", alpha=\"0.13\", expect_size=\"16509952\"] \n  30 [size=\"15636480\", alpha=\"0.06\", expect_size=\"7818240\"] \n  31 [size=\"52977664\", alpha=\"0.05\", expect_size=\"26488832\"] \n  32 [size=\"15919104\", alpha=\"0.11\", expect_size=\"7959552\"] \n  33 [size=\"27117568\", alpha=\"0.11\", expect_size=\"13558784\"] \n  34 [size=\"103401472\", alpha=\"0.19\", expect_size=\"51700736\"] \n  35 [size=\"58517504\", alpha=\"0.16\", expect_size=\"29258752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13217792\", alpha=\"0.13\", expect_size=\"6608896\"] \n  1 -> 25 [size =\"6608896\"]\n  1 -> 27 [size =\"6608896\"]\n  1 -> 30 [size =\"6608896\"]\n  2 [size=\"64815104\", alpha=\"0.15\", expect_size=\"32407552\"] \n  2 -> 28 [size =\"32407552\"]\n  2 -> 30 [size =\"32407552\"]\n  2 -> 33 [size =\"32407552\"]\n  3 [size=\"94328832\", alpha=\"0.09\", expect_size=\"47164416\"] \n  3 -> 25 [size =\"47164416\"]\n  3 -> 28 [size =\"47164416\"]\n  3 -> 29 [size =\"47164416\"]\n  3 -> 31 [size =\"47164416\"]\n  4 [size=\"15943680\", alpha=\"0.14\", expect_size=\"7971840\"] \n  4 -> 28 [size =\"7971840\"]\n  4 -> 31 [size =\"7971840\"]\n  5 [size=\"59879424\", alpha=\"0.17\", expect_size=\"29939712\"] \n  5 -> 28 [size =\"29939712\"]\n  5 -> 31 [size =\"29939712\"]\n  5 -> 33 [size =\"29939712\"]\n  6 [size=\"39112704\", alpha=\"0.13\", expect_size=\"19556352\"] \n  6 -> 25 [size =\"19556352\"]\n  7 [size=\"25812992\", alpha=\"0.13\", expect_size=\"12906496\"] \n  7 -> 25 [size =\"12906496\"]\n  8 [size=\"15734784\", alpha=\"0.19\", expect_size=\"7867392\"] \n  9 [size=\"52832256\", alpha=\"0.10\", expect_size=\"26416128\"] \n  9 -> 30 [size =\"26416128\"]\n  10 [size=\"90138624\", alpha=\"0.20\", expect_size=\"45069312\"] \n  10 -> 25 [size =\"45069312\"]\n  10 -> 29 [size =\"45069312\"]\n  10 -> 30 [size =\"45069312\"]\n  11 [size=\"55795712\", alpha=\"0.05\", expect_size=\"27897856\"] \n  11 -> 26 [size =\"27897856\"]\n  11 -> 28 [size =\"27897856\"]\n  11 -> 30 [size =\"27897856\"]\n  12 [size=\"23287808\", alpha=\"0.06\", expect_size=\"11643904\"] \n  12 -> 25 [size =\"11643904\"]\n  12 -> 33 [size =\"11643904\"]\n  13 [size=\"91875328\", alpha=\"0.13\", expect_size=\"45937664\"] \n  13 -> 25 [size =\"45937664\"]\n  13 -> 26 [size =\"45937664\"]\n  13 -> 27 [size =\"45937664\"]\n  14 [size=\"41011200\", alpha=\"0.09\", expect_size=\"20505600\"] \n  14 -> 24 [size =\"20505600\"]\n  15 [size=\"12302336\", alpha=\"0.02\", expect_size=\"6151168\"] \n  15 -> 28 [size =\"6151168\"]\n  16 [size=\"93714432\", alpha=\"0.08\", expect_size=\"46857216\"] \n  16 -> 26 [size =\"46857216\"]\n  16 -> 28 [size =\"46857216\"]\n  16 -> 34 [size =\"46857216\"]\n  17 [size=\"59322368\", alpha=\"0.10\", expect_size=\"29661184\"] \n  17 -> 26 [size =\"29661184\"]\n  18 [size=\"26308608\", alpha=\"0.06\", expect_size=\"13154304\"] \n  18 -> 33 [size =\"13154304\"]\n  19 [size=\"22083584\", alpha=\"0.17\", expect_size=\"11041792\"] \n  20 [size=\"68364288\", alpha=\"0.18\", expect_size=\"34182144\"] \n  20 -> 26 [size =\"34182144\"]\n  21 [size=\"67201024\", alpha=\"0.00\", expect_size=\"33600512\"] \n  21 -> 32 [size =\"33600512\"]\n  22 [size=\"91783168\", alpha=\"0.14\", expect_size=\"45891584\"] \n  22 -> 25 [size =\"45891584\"]\n  22 -> 26 [size =\"45891584\"]\n  22 -> 27 [size =\"45891584\"]\n  22 -> 35 [size =\"45891584\"]\n  23 [size=\"24133632\", alpha=\"0.05\", expect_size=\"12066816\"] \n  23 -> 30 [size =\"12066816\"]\n  24 [size=\"83746816\", alpha=\"0.18\", expect_size=\"41873408\"] \n  25 [size=\"32940032\", alpha=\"0.00\", expect_size=\"16470016\"] \n  26 [size=\"41095168\", alpha=\"0.09\", expect_size=\"20547584\"] \n  27 [size=\"80809984\", alpha=\"0.02\", expect_size=\"40404992\"] \n  28 [size=\"34015232\", alpha=\"0.15\", expect_size=\"17007616\"] \n  29 [size=\"60084224\", alpha=\"0.17\", expect_size=\"30042112\"] \n  30 [size=\"45099008\", alpha=\"0.16\", expect_size=\"22549504\"] \n  31 [size=\"36839424\", alpha=\"0.05\", expect_size=\"18419712\"] \n  32 [size=\"38043648\", alpha=\"0.17\", expect_size=\"19021824\"] \n  33 [size=\"103038976\", alpha=\"0.06\", expect_size=\"51519488\"] \n  34 [size=\"32557056\", alpha=\"0.01\", expect_size=\"16278528\"] \n  35 [size=\"20801536\", alpha=\"0.16\", expect_size=\"10400768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74490880\", alpha=\"0.08\", expect_size=\"29796352\"] \n  1 -> 5 [size =\"29796352\"]\n  1 -> 7 [size =\"29796352\"]\n  1 -> 8 [size =\"29796352\"]\n  2 [size=\"29073920\", alpha=\"0.10\", expect_size=\"11629568\"] \n  2 -> 6 [size =\"11629568\"]\n  2 -> 7 [size =\"11629568\"]\n  3 [size=\"77655040\", alpha=\"0.07\", expect_size=\"31062016\"] \n  3 -> 5 [size =\"31062016\"]\n  3 -> 6 [size =\"31062016\"]\n  3 -> 7 [size =\"31062016\"]\n  3 -> 8 [size =\"31062016\"]\n  4 [size=\"98565120\", alpha=\"0.16\", expect_size=\"39426048\"] \n  4 -> 5 [size =\"39426048\"]\n  4 -> 8 [size =\"39426048\"]\n  5 [size=\"95196160\", alpha=\"0.06\", expect_size=\"38078464\"] \n  5 -> 9 [size =\"38078464\"]\n  5 -> 10 [size =\"38078464\"]\n  6 [size=\"40926720\", alpha=\"0.17\", expect_size=\"16370688\"] \n  6 -> 9 [size =\"16370688\"]\n  6 -> 10 [size =\"16370688\"]\n  6 -> 11 [size =\"16370688\"]\n  6 -> 12 [size =\"16370688\"]\n  6 -> 13 [size =\"16370688\"]\n  7 [size=\"67489280\", alpha=\"0.09\", expect_size=\"26995712\"] \n  7 -> 9 [size =\"26995712\"]\n  7 -> 10 [size =\"26995712\"]\n  7 -> 12 [size =\"26995712\"]\n  8 [size=\"49543680\", alpha=\"0.19\", expect_size=\"19817472\"] \n  8 -> 9 [size =\"19817472\"]\n  8 -> 10 [size =\"19817472\"]\n  8 -> 12 [size =\"19817472\"]\n  9 [size=\"124416000\", alpha=\"0.09\", expect_size=\"49766400\"] \n  9 -> 15 [size =\"49766400\"]\n  9 -> 16 [size =\"49766400\"]\n  10 [size=\"126520320\", alpha=\"0.16\", expect_size=\"50608128\"] \n  10 -> 14 [size =\"50608128\"]\n  10 -> 16 [size =\"50608128\"]\n  10 -> 17 [size =\"50608128\"]\n  11 [size=\"126515200\", alpha=\"0.15\", expect_size=\"50606080\"] \n  11 -> 14 [size =\"50606080\"]\n  11 -> 15 [size =\"50606080\"]\n  12 [size=\"53639680\", alpha=\"0.11\", expect_size=\"21455872\"] \n  12 -> 14 [size =\"21455872\"]\n  12 -> 15 [size =\"21455872\"]\n  12 -> 17 [size =\"21455872\"]\n  13 [size=\"113487360\", alpha=\"0.06\", expect_size=\"45394944\"] \n  13 -> 14 [size =\"45394944\"]\n  13 -> 16 [size =\"45394944\"]\n  14 [size=\"34775040\", alpha=\"0.15\", expect_size=\"13910016\"] \n  14 -> 19 [size =\"13910016\"]\n  14 -> 20 [size =\"13910016\"]\n  14 -> 21 [size =\"13910016\"]\n  14 -> 22 [size =\"13910016\"]\n  15 [size=\"130122240\", alpha=\"0.06\", expect_size=\"52048896\"] \n  15 -> 19 [size =\"52048896\"]\n  15 -> 20 [size =\"52048896\"]\n  15 -> 21 [size =\"52048896\"]\n  15 -> 22 [size =\"52048896\"]\n  16 [size=\"47464960\", alpha=\"0.15\", expect_size=\"18985984\"] \n  16 -> 19 [size =\"18985984\"]\n  16 -> 20 [size =\"18985984\"]\n  16 -> 21 [size =\"18985984\"]\n  16 -> 22 [size =\"18985984\"]\n  17 [size=\"32143360\", alpha=\"0.08\", expect_size=\"12857344\"] \n  17 -> 18 [size =\"12857344\"]\n  17 -> 19 [size =\"12857344\"]\n  17 -> 20 [size =\"12857344\"]\n  17 -> 21 [size =\"12857344\"]\n  17 -> 22 [size =\"12857344\"]\n  18 [size=\"88084480\", alpha=\"0.06\", expect_size=\"35233792\"] \n  18 -> 23 [size =\"35233792\"]\n  18 -> 24 [size =\"35233792\"]\n  18 -> 25 [size =\"35233792\"]\n  18 -> 26 [size =\"35233792\"]\n  19 [size=\"80686080\", alpha=\"0.13\", expect_size=\"32274432\"] \n  19 -> 26 [size =\"32274432\"]\n  20 [size=\"17221120\", alpha=\"0.04\", expect_size=\"6888448\"] \n  20 -> 23 [size =\"6888448\"]\n  20 -> 24 [size =\"6888448\"]\n  20 -> 25 [size =\"6888448\"]\n  21 [size=\"109271040\", alpha=\"0.05\", expect_size=\"43708416\"] \n  21 -> 23 [size =\"43708416\"]\n  21 -> 24 [size =\"43708416\"]\n  21 -> 25 [size =\"43708416\"]\n  21 -> 26 [size =\"43708416\"]\n  22 [size=\"81218560\", alpha=\"0.10\", expect_size=\"32487424\"] \n  22 -> 23 [size =\"32487424\"]\n  22 -> 26 [size =\"32487424\"]\n  23 [size=\"29790720\", alpha=\"0.05\", expect_size=\"11916288\"] \n  23 -> 27 [size =\"11916288\"]\n  23 -> 29 [size =\"11916288\"]\n  23 -> 30 [size =\"11916288\"]\n  24 [size=\"64366080\", alpha=\"0.15\", expect_size=\"25746432\"] \n  24 -> 27 [size =\"25746432\"]\n  24 -> 28 [size =\"25746432\"]\n  24 -> 29 [size =\"25746432\"]\n  24 -> 30 [size =\"25746432\"]\n  25 [size=\"35635200\", alpha=\"0.19\", expect_size=\"14254080\"] \n  25 -> 27 [size =\"14254080\"]\n  25 -> 28 [size =\"14254080\"]\n  25 -> 29 [size =\"14254080\"]\n  26 [size=\"73072640\", alpha=\"0.07\", expect_size=\"29229056\"] \n  26 -> 28 [size =\"29229056\"]\n  26 -> 28 [size =\"29229056\"]\n  26 -> 29 [size =\"29229056\"]\n  26 -> 30 [size =\"29229056\"]\n  27 [size=\"42109440\", alpha=\"0.05\", expect_size=\"16843776\"] \n  27 -> 31 [size =\"16843776\"]\n  27 -> 33 [size =\"16843776\"]\n  28 [size=\"91740160\", alpha=\"0.08\", expect_size=\"36696064\"] \n  29 [size=\"129446400\", alpha=\"0.11\", expect_size=\"51778560\"] \n  29 -> 32 [size =\"51778560\"]\n  29 -> 34 [size =\"51778560\"]\n  30 [size=\"86197760\", alpha=\"0.13\", expect_size=\"34479104\"] \n  30 -> 33 [size =\"34479104\"]\n  30 -> 34 [size =\"34479104\"]\n  31 [size=\"109081600\", alpha=\"0.14\", expect_size=\"43632640\"] \n  32 [size=\"23554560\", alpha=\"0.02\", expect_size=\"9421824\"] \n  33 [size=\"81510400\", alpha=\"0.07\", expect_size=\"32604160\"] \n  33 -> 35 [size =\"32604160\"]\n  34 [size=\"111569920\", alpha=\"0.16\", expect_size=\"44627968\"] \n  35 [size=\"81231360\", alpha=\"0.04\", expect_size=\"32492544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26470400\", alpha=\"0.10\", expect_size=\"10588160\"] \n  1 -> 5 [size =\"10588160\"]\n  1 -> 6 [size =\"10588160\"]\n  2 [size=\"37736960\", alpha=\"0.08\", expect_size=\"15094784\"] \n  2 -> 7 [size =\"15094784\"]\n  2 -> 8 [size =\"15094784\"]\n  3 [size=\"130334720\", alpha=\"0.12\", expect_size=\"52133888\"] \n  3 -> 6 [size =\"52133888\"]\n  3 -> 7 [size =\"52133888\"]\n  3 -> 8 [size =\"52133888\"]\n  4 [size=\"56166400\", alpha=\"0.16\", expect_size=\"22466560\"] \n  4 -> 6 [size =\"22466560\"]\n  4 -> 8 [size =\"22466560\"]\n  5 [size=\"67041280\", alpha=\"0.09\", expect_size=\"26816512\"] \n  5 -> 10 [size =\"26816512\"]\n  5 -> 11 [size =\"26816512\"]\n  6 [size=\"77552640\", alpha=\"0.18\", expect_size=\"31021056\"] \n  6 -> 10 [size =\"31021056\"]\n  6 -> 11 [size =\"31021056\"]\n  6 -> 12 [size =\"31021056\"]\n  7 [size=\"47902720\", alpha=\"0.07\", expect_size=\"19161088\"] \n  7 -> 10 [size =\"19161088\"]\n  7 -> 13 [size =\"19161088\"]\n  8 [size=\"84794880\", alpha=\"0.16\", expect_size=\"33917952\"] \n  8 -> 9 [size =\"33917952\"]\n  8 -> 11 [size =\"33917952\"]\n  9 [size=\"118970880\", alpha=\"0.07\", expect_size=\"47588352\"] \n  9 -> 15 [size =\"47588352\"]\n  9 -> 17 [size =\"47588352\"]\n  10 [size=\"106370560\", alpha=\"0.16\", expect_size=\"42548224\"] \n  10 -> 15 [size =\"42548224\"]\n  11 [size=\"95603200\", alpha=\"0.10\", expect_size=\"38241280\"] \n  11 -> 15 [size =\"38241280\"]\n  11 -> 18 [size =\"38241280\"]\n  12 [size=\"36743680\", alpha=\"0.19\", expect_size=\"14697472\"] \n  12 -> 14 [size =\"14697472\"]\n  12 -> 16 [size =\"14697472\"]\n  12 -> 17 [size =\"14697472\"]\n  13 [size=\"84582400\", alpha=\"0.08\", expect_size=\"33832960\"] \n  13 -> 16 [size =\"33832960\"]\n  13 -> 17 [size =\"33832960\"]\n  14 [size=\"36487680\", alpha=\"0.11\", expect_size=\"14595072\"] \n  14 -> 24 [size =\"14595072\"]\n  15 [size=\"129310720\", alpha=\"0.07\", expect_size=\"51724288\"] \n  15 -> 19 [size =\"51724288\"]\n  15 -> 22 [size =\"51724288\"]\n  16 [size=\"66352640\", alpha=\"0.11\", expect_size=\"26541056\"] \n  16 -> 20 [size =\"26541056\"]\n  16 -> 21 [size =\"26541056\"]\n  16 -> 22 [size =\"26541056\"]\n  17 [size=\"52008960\", alpha=\"0.18\", expect_size=\"20803584\"] \n  17 -> 20 [size =\"20803584\"]\n  17 -> 22 [size =\"20803584\"]\n  17 -> 23 [size =\"20803584\"]\n  18 [size=\"95395840\", alpha=\"0.19\", expect_size=\"38158336\"] \n  18 -> 19 [size =\"38158336\"]\n  18 -> 21 [size =\"38158336\"]\n  19 [size=\"71818240\", alpha=\"0.15\", expect_size=\"28727296\"] \n  19 -> 28 [size =\"28727296\"]\n  19 -> 28 [size =\"28727296\"]\n  20 [size=\"113720320\", alpha=\"0.20\", expect_size=\"45488128\"] \n  21 [size=\"92992000\", alpha=\"0.07\", expect_size=\"37196800\"] \n  21 -> 26 [size =\"37196800\"]\n  22 [size=\"35701760\", alpha=\"0.18\", expect_size=\"14280704\"] \n  22 -> 26 [size =\"14280704\"]\n  23 [size=\"30156800\", alpha=\"0.10\", expect_size=\"12062720\"] \n  23 -> 25 [size =\"12062720\"]\n  23 -> 26 [size =\"12062720\"]\n  23 -> 27 [size =\"12062720\"]\n  24 [size=\"79769600\", alpha=\"0.08\", expect_size=\"31907840\"] \n  24 -> 26 [size =\"31907840\"]\n  24 -> 28 [size =\"31907840\"]\n  25 [size=\"24704000\", alpha=\"0.16\", expect_size=\"9881600\"] \n  25 -> 29 [size =\"9881600\"]\n  25 -> 32 [size =\"9881600\"]\n  26 [size=\"64819200\", alpha=\"0.15\", expect_size=\"25927680\"] \n  27 [size=\"128353280\", alpha=\"0.19\", expect_size=\"51341312\"] \n  27 -> 30 [size =\"51341312\"]\n  27 -> 31 [size =\"51341312\"]\n  28 [size=\"115993600\", alpha=\"0.16\", expect_size=\"46397440\"] \n  28 -> 29 [size =\"46397440\"]\n  28 -> 32 [size =\"46397440\"]\n  29 [size=\"109176320\", alpha=\"0.11\", expect_size=\"43670528\"] \n  29 -> 34 [size =\"43670528\"]\n  29 -> 35 [size =\"43670528\"]\n  30 [size=\"77422080\", alpha=\"0.01\", expect_size=\"30968832\"] \n  30 -> 34 [size =\"30968832\"]\n  31 [size=\"75164160\", alpha=\"0.06\", expect_size=\"30065664\"] \n  32 [size=\"115768320\", alpha=\"0.14\", expect_size=\"46307328\"] \n  32 -> 33 [size =\"46307328\"]\n  33 [size=\"105899520\", alpha=\"0.15\", expect_size=\"42359808\"] \n  34 [size=\"44823040\", alpha=\"0.19\", expect_size=\"17929216\"] \n  35 [size=\"93565440\", alpha=\"0.04\", expect_size=\"37426176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35352576\", alpha=\"0.14\", expect_size=\"17676288\"] \n  1 -> 15 [size =\"17676288\"]\n  1 -> 17 [size =\"17676288\"]\n  1 -> 19 [size =\"17676288\"]\n  1 -> 20 [size =\"17676288\"]\n  1 -> 21 [size =\"17676288\"]\n  2 [size=\"10627072\", alpha=\"0.07\", expect_size=\"5313536\"] \n  2 -> 14 [size =\"5313536\"]\n  2 -> 15 [size =\"5313536\"]\n  2 -> 17 [size =\"5313536\"]\n  2 -> 19 [size =\"5313536\"]\n  2 -> 23 [size =\"5313536\"]\n  3 [size=\"12689408\", alpha=\"0.05\", expect_size=\"6344704\"] \n  3 -> 14 [size =\"6344704\"]\n  3 -> 15 [size =\"6344704\"]\n  3 -> 17 [size =\"6344704\"]\n  3 -> 19 [size =\"6344704\"]\n  3 -> 20 [size =\"6344704\"]\n  3 -> 23 [size =\"6344704\"]\n  4 [size=\"11730944\", alpha=\"0.18\", expect_size=\"5865472\"] \n  4 -> 15 [size =\"5865472\"]\n  4 -> 16 [size =\"5865472\"]\n  4 -> 19 [size =\"5865472\"]\n  4 -> 20 [size =\"5865472\"]\n  4 -> 23 [size =\"5865472\"]\n  5 [size=\"101138432\", alpha=\"0.00\", expect_size=\"50569216\"] \n  5 -> 13 [size =\"50569216\"]\n  5 -> 18 [size =\"50569216\"]\n  5 -> 20 [size =\"50569216\"]\n  5 -> 23 [size =\"50569216\"]\n  6 [size=\"21514240\", alpha=\"0.08\", expect_size=\"10757120\"] \n  6 -> 17 [size =\"10757120\"]\n  6 -> 19 [size =\"10757120\"]\n  6 -> 20 [size =\"10757120\"]\n  6 -> 22 [size =\"10757120\"]\n  6 -> 23 [size =\"10757120\"]\n  7 [size=\"93501440\", alpha=\"0.03\", expect_size=\"46750720\"] \n  7 -> 15 [size =\"46750720\"]\n  7 -> 17 [size =\"46750720\"]\n  7 -> 18 [size =\"46750720\"]\n  7 -> 19 [size =\"46750720\"]\n  7 -> 20 [size =\"46750720\"]\n  7 -> 23 [size =\"46750720\"]\n  8 [size=\"43192320\", alpha=\"0.15\", expect_size=\"21596160\"] \n  8 -> 13 [size =\"21596160\"]\n  8 -> 17 [size =\"21596160\"]\n  8 -> 19 [size =\"21596160\"]\n  8 -> 20 [size =\"21596160\"]\n  8 -> 20 [size =\"21596160\"]\n  8 -> 21 [size =\"21596160\"]\n  8 -> 22 [size =\"21596160\"]\n  8 -> 23 [size =\"21596160\"]\n  9 [size=\"63768576\", alpha=\"0.16\", expect_size=\"31884288\"] \n  9 -> 15 [size =\"31884288\"]\n  9 -> 17 [size =\"31884288\"]\n  9 -> 19 [size =\"31884288\"]\n  9 -> 21 [size =\"31884288\"]\n  10 [size=\"30896128\", alpha=\"0.03\", expect_size=\"15448064\"] \n  10 -> 14 [size =\"15448064\"]\n  10 -> 15 [size =\"15448064\"]\n  10 -> 17 [size =\"15448064\"]\n  10 -> 20 [size =\"15448064\"]\n  10 -> 22 [size =\"15448064\"]\n  11 [size=\"96813056\", alpha=\"0.11\", expect_size=\"48406528\"] \n  11 -> 13 [size =\"48406528\"]\n  11 -> 14 [size =\"48406528\"]\n  11 -> 15 [size =\"48406528\"]\n  11 -> 18 [size =\"48406528\"]\n  11 -> 20 [size =\"48406528\"]\n  11 -> 23 [size =\"48406528\"]\n  12 [size=\"68018176\", alpha=\"0.16\", expect_size=\"34009088\"] \n  12 -> 13 [size =\"34009088\"]\n  12 -> 17 [size =\"34009088\"]\n  12 -> 18 [size =\"34009088\"]\n  12 -> 18 [size =\"34009088\"]\n  12 -> 19 [size =\"34009088\"]\n  12 -> 22 [size =\"34009088\"]\n  12 -> 23 [size =\"34009088\"]\n  13 [size=\"102371328\", alpha=\"0.06\", expect_size=\"51185664\"] \n  13 -> 24 [size =\"51185664\"]\n  13 -> 25 [size =\"51185664\"]\n  13 -> 28 [size =\"51185664\"]\n  13 -> 29 [size =\"51185664\"]\n  13 -> 30 [size =\"51185664\"]\n  13 -> 32 [size =\"51185664\"]\n  13 -> 33 [size =\"51185664\"]\n  13 -> 34 [size =\"51185664\"]\n  14 [size=\"31289344\", alpha=\"0.06\", expect_size=\"15644672\"] \n  14 -> 24 [size =\"15644672\"]\n  14 -> 28 [size =\"15644672\"]\n  14 -> 29 [size =\"15644672\"]\n  14 -> 29 [size =\"15644672\"]\n  14 -> 30 [size =\"15644672\"]\n  14 -> 31 [size =\"15644672\"]\n  14 -> 32 [size =\"15644672\"]\n  14 -> 33 [size =\"15644672\"]\n  15 [size=\"21235712\", alpha=\"0.04\", expect_size=\"10617856\"] \n  15 -> 24 [size =\"10617856\"]\n  15 -> 26 [size =\"10617856\"]\n  15 -> 28 [size =\"10617856\"]\n  15 -> 29 [size =\"10617856\"]\n  15 -> 31 [size =\"10617856\"]\n  15 -> 31 [size =\"10617856\"]\n  15 -> 32 [size =\"10617856\"]\n  15 -> 33 [size =\"10617856\"]\n  16 [size=\"21901312\", alpha=\"0.16\", expect_size=\"10950656\"] \n  16 -> 26 [size =\"10950656\"]\n  16 -> 27 [size =\"10950656\"]\n  16 -> 28 [size =\"10950656\"]\n  16 -> 29 [size =\"10950656\"]\n  16 -> 30 [size =\"10950656\"]\n  16 -> 31 [size =\"10950656\"]\n  16 -> 33 [size =\"10950656\"]\n  16 -> 34 [size =\"10950656\"]\n  17 [size=\"61999104\", alpha=\"0.12\", expect_size=\"30999552\"] \n  17 -> 25 [size =\"30999552\"]\n  17 -> 28 [size =\"30999552\"]\n  17 -> 28 [size =\"30999552\"]\n  17 -> 29 [size =\"30999552\"]\n  17 -> 30 [size =\"30999552\"]\n  17 -> 31 [size =\"30999552\"]\n  18 [size=\"77953024\", alpha=\"0.16\", expect_size=\"38976512\"] \n  18 -> 24 [size =\"38976512\"]\n  18 -> 25 [size =\"38976512\"]\n  18 -> 26 [size =\"38976512\"]\n  18 -> 27 [size =\"38976512\"]\n  18 -> 28 [size =\"38976512\"]\n  18 -> 29 [size =\"38976512\"]\n  18 -> 30 [size =\"38976512\"]\n  18 -> 31 [size =\"38976512\"]\n  19 [size=\"55408640\", alpha=\"0.11\", expect_size=\"27704320\"] \n  19 -> 26 [size =\"27704320\"]\n  19 -> 27 [size =\"27704320\"]\n  19 -> 28 [size =\"27704320\"]\n  19 -> 29 [size =\"27704320\"]\n  19 -> 30 [size =\"27704320\"]\n  19 -> 33 [size =\"27704320\"]\n  20 [size=\"36048896\", alpha=\"0.09\", expect_size=\"18024448\"] \n  20 -> 26 [size =\"18024448\"]\n  20 -> 28 [size =\"18024448\"]\n  20 -> 30 [size =\"18024448\"]\n  20 -> 31 [size =\"18024448\"]\n  20 -> 34 [size =\"18024448\"]\n  21 [size=\"49684480\", alpha=\"0.11\", expect_size=\"24842240\"] \n  21 -> 24 [size =\"24842240\"]\n  21 -> 26 [size =\"24842240\"]\n  21 -> 30 [size =\"24842240\"]\n  21 -> 32 [size =\"24842240\"]\n  22 [size=\"101654528\", alpha=\"0.14\", expect_size=\"50827264\"] \n  22 -> 30 [size =\"50827264\"]\n  22 -> 31 [size =\"50827264\"]\n  22 -> 33 [size =\"50827264\"]\n  23 [size=\"80758784\", alpha=\"0.17\", expect_size=\"40379392\"] \n  23 -> 25 [size =\"40379392\"]\n  23 -> 26 [size =\"40379392\"]\n  23 -> 28 [size =\"40379392\"]\n  23 -> 29 [size =\"40379392\"]\n  23 -> 30 [size =\"40379392\"]\n  23 -> 32 [size =\"40379392\"]\n  23 -> 33 [size =\"40379392\"]\n  24 [size=\"16150528\", alpha=\"0.00\", expect_size=\"8075264\"] \n  25 [size=\"44201984\", alpha=\"0.03\", expect_size=\"22100992\"] \n  26 [size=\"62742528\", alpha=\"0.08\", expect_size=\"31371264\"] \n  27 [size=\"44339200\", alpha=\"0.10\", expect_size=\"22169600\"] \n  27 -> 35 [size =\"22169600\"]\n  28 [size=\"101076992\", alpha=\"0.19\", expect_size=\"50538496\"] \n  29 [size=\"84535296\", alpha=\"0.00\", expect_size=\"42267648\"] \n  29 -> 35 [size =\"42267648\"]\n  30 [size=\"44015616\", alpha=\"0.05\", expect_size=\"22007808\"] \n  31 [size=\"84998144\", alpha=\"0.08\", expect_size=\"42499072\"] \n  31 -> 35 [size =\"42499072\"]\n  32 [size=\"43610112\", alpha=\"0.04\", expect_size=\"21805056\"] \n  32 -> 35 [size =\"21805056\"]\n  33 [size=\"14362624\", alpha=\"0.19\", expect_size=\"7181312\"] \n  34 [size=\"93835264\", alpha=\"0.18\", expect_size=\"46917632\"] \n  35 [size=\"94527488\", alpha=\"0.20\", expect_size=\"47263744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83046400\", alpha=\"0.12\", expect_size=\"41523200\"] \n  1 -> 3 [size =\"41523200\"]\n  1 -> 4 [size =\"41523200\"]\n  2 [size=\"84594688\", alpha=\"0.12\", expect_size=\"42297344\"] \n  2 -> 4 [size =\"42297344\"]\n  3 [size=\"31758336\", alpha=\"0.20\", expect_size=\"15879168\"] \n  3 -> 5 [size =\"15879168\"]\n  3 -> 6 [size =\"15879168\"]\n  4 [size=\"18831360\", alpha=\"0.19\", expect_size=\"9415680\"] \n  4 -> 5 [size =\"9415680\"]\n  4 -> 6 [size =\"9415680\"]\n  5 [size=\"50161664\", alpha=\"0.05\", expect_size=\"25080832\"] \n  5 -> 7 [size =\"25080832\"]\n  6 [size=\"41543680\", alpha=\"0.02\", expect_size=\"20771840\"] \n  6 -> 7 [size =\"20771840\"]\n  7 [size=\"90916864\", alpha=\"0.19\", expect_size=\"45458432\"] \n  7 -> 8 [size =\"45458432\"]\n  7 -> 9 [size =\"45458432\"]\n  8 [size=\"47216640\", alpha=\"0.08\", expect_size=\"23608320\"] \n  8 -> 10 [size =\"23608320\"]\n  9 [size=\"28102656\", alpha=\"0.16\", expect_size=\"14051328\"] \n  9 -> 10 [size =\"14051328\"]\n  10 [size=\"63490048\", alpha=\"0.01\", expect_size=\"31745024\"] \n  10 -> 11 [size =\"31745024\"]\n  10 -> 12 [size =\"31745024\"]\n  11 [size=\"17332224\", alpha=\"0.11\", expect_size=\"8666112\"] \n  11 -> 13 [size =\"8666112\"]\n  12 [size=\"74057728\", alpha=\"0.13\", expect_size=\"37028864\"] \n  12 -> 13 [size =\"37028864\"]\n  13 [size=\"38131712\", alpha=\"0.10\", expect_size=\"19065856\"] \n  13 -> 14 [size =\"19065856\"]\n  13 -> 15 [size =\"19065856\"]\n  14 [size=\"36943872\", alpha=\"0.06\", expect_size=\"18471936\"] \n  14 -> 17 [size =\"18471936\"]\n  15 [size=\"30754816\", alpha=\"0.14\", expect_size=\"15377408\"] \n  15 -> 16 [size =\"15377408\"]\n  15 -> 17 [size =\"15377408\"]\n  16 [size=\"56514560\", alpha=\"0.04\", expect_size=\"28257280\"] \n  16 -> 19 [size =\"28257280\"]\n  17 [size=\"66039808\", alpha=\"0.04\", expect_size=\"33019904\"] \n  17 -> 18 [size =\"33019904\"]\n  18 [size=\"61208576\", alpha=\"0.17\", expect_size=\"30604288\"] \n  18 -> 20 [size =\"30604288\"]\n  18 -> 21 [size =\"30604288\"]\n  19 [size=\"98869248\", alpha=\"0.16\", expect_size=\"49434624\"] \n  19 -> 20 [size =\"49434624\"]\n  19 -> 21 [size =\"49434624\"]\n  20 [size=\"80906240\", alpha=\"0.14\", expect_size=\"40453120\"] \n  20 -> 23 [size =\"40453120\"]\n  21 [size=\"84963328\", alpha=\"0.06\", expect_size=\"42481664\"] \n  21 -> 22 [size =\"42481664\"]\n  21 -> 23 [size =\"42481664\"]\n  22 [size=\"43286528\", alpha=\"0.15\", expect_size=\"21643264\"] \n  22 -> 24 [size =\"21643264\"]\n  22 -> 25 [size =\"21643264\"]\n  23 [size=\"12584960\", alpha=\"0.08\", expect_size=\"6292480\"] \n  23 -> 24 [size =\"6292480\"]\n  24 [size=\"61405184\", alpha=\"0.03\", expect_size=\"30702592\"] \n  24 -> 26 [size =\"30702592\"]\n  25 [size=\"89610240\", alpha=\"0.06\", expect_size=\"44805120\"] \n  25 -> 26 [size =\"44805120\"]\n  26 [size=\"61888512\", alpha=\"0.16\", expect_size=\"30944256\"] \n  26 -> 27 [size =\"30944256\"]\n  26 -> 28 [size =\"30944256\"]\n  27 [size=\"80611328\", alpha=\"0.03\", expect_size=\"40305664\"] \n  27 -> 29 [size =\"40305664\"]\n  28 [size=\"101826560\", alpha=\"0.17\", expect_size=\"50913280\"] \n  28 -> 29 [size =\"50913280\"]\n  29 [size=\"88467456\", alpha=\"0.16\", expect_size=\"44233728\"] \n  29 -> 30 [size =\"44233728\"]\n  30 [size=\"70021120\", alpha=\"0.05\", expect_size=\"35010560\"] \n  30 -> 31 [size =\"35010560\"]\n  31 [size=\"39593984\", alpha=\"0.16\", expect_size=\"19796992\"] \n  31 -> 32 [size =\"19796992\"]\n  31 -> 33 [size =\"19796992\"]\n  32 [size=\"69746688\", alpha=\"0.01\", expect_size=\"34873344\"] \n  32 -> 34 [size =\"34873344\"]\n  33 [size=\"45842432\", alpha=\"0.11\", expect_size=\"22921216\"] \n  33 -> 34 [size =\"22921216\"]\n  34 [size=\"83529728\", alpha=\"0.07\", expect_size=\"41764864\"] \n  34 -> 35 [size =\"41764864\"]\n  35 [size=\"96782336\", alpha=\"0.08\", expect_size=\"48391168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125248853\", alpha=\"0.04\", expect_size=\"37574656\"] \n  1 -> 6 [size =\"37574656\"]\n  1 -> 7 [size =\"37574656\"]\n  1 -> 8 [size =\"37574656\"]\n  1 -> 10 [size =\"37574656\"]\n  1 -> 11 [size =\"37574656\"]\n  2 [size=\"106427733\", alpha=\"0.17\", expect_size=\"31928320\"] \n  2 -> 6 [size =\"31928320\"]\n  2 -> 9 [size =\"31928320\"]\n  3 [size=\"52944213\", alpha=\"0.15\", expect_size=\"15883264\"] \n  3 -> 6 [size =\"15883264\"]\n  4 [size=\"126518613\", alpha=\"0.06\", expect_size=\"37955584\"] \n  4 -> 6 [size =\"37955584\"]\n  5 [size=\"60211200\", alpha=\"0.03\", expect_size=\"18063360\"] \n  5 -> 7 [size =\"18063360\"]\n  5 -> 10 [size =\"18063360\"]\n  6 [size=\"48909653\", alpha=\"0.12\", expect_size=\"14672896\"] \n  6 -> 13 [size =\"14672896\"]\n  6 -> 14 [size =\"14672896\"]\n  6 -> 16 [size =\"14672896\"]\n  7 [size=\"60627627\", alpha=\"0.01\", expect_size=\"18188288\"] \n  7 -> 13 [size =\"18188288\"]\n  7 -> 15 [size =\"18188288\"]\n  7 -> 16 [size =\"18188288\"]\n  8 [size=\"87801173\", alpha=\"0.15\", expect_size=\"26340352\"] \n  8 -> 13 [size =\"26340352\"]\n  8 -> 15 [size =\"26340352\"]\n  8 -> 16 [size =\"26340352\"]\n  9 [size=\"22872747\", alpha=\"0.07\", expect_size=\"6861824\"] \n  9 -> 12 [size =\"6861824\"]\n  9 -> 13 [size =\"6861824\"]\n  9 -> 14 [size =\"6861824\"]\n  10 [size=\"19913387\", alpha=\"0.02\", expect_size=\"5974016\"] \n  10 -> 12 [size =\"5974016\"]\n  10 -> 14 [size =\"5974016\"]\n  10 -> 15 [size =\"5974016\"]\n  11 [size=\"120828587\", alpha=\"0.11\", expect_size=\"36248576\"] \n  11 -> 13 [size =\"36248576\"]\n  11 -> 15 [size =\"36248576\"]\n  12 [size=\"153180160\", alpha=\"0.15\", expect_size=\"45954048\"] \n  12 -> 17 [size =\"45954048\"]\n  12 -> 19 [size =\"45954048\"]\n  13 [size=\"130447360\", alpha=\"0.14\", expect_size=\"39134208\"] \n  13 -> 17 [size =\"39134208\"]\n  13 -> 18 [size =\"39134208\"]\n  13 -> 21 [size =\"39134208\"]\n  13 -> 23 [size =\"39134208\"]\n  14 [size=\"88917333\", alpha=\"0.03\", expect_size=\"26675200\"] \n  14 -> 17 [size =\"26675200\"]\n  14 -> 18 [size =\"26675200\"]\n  14 -> 20 [size =\"26675200\"]\n  15 [size=\"133686613\", alpha=\"0.02\", expect_size=\"40105984\"] \n  15 -> 18 [size =\"40105984\"]\n  15 -> 18 [size =\"40105984\"]\n  15 -> 19 [size =\"40105984\"]\n  15 -> 22 [size =\"40105984\"]\n  16 [size=\"156869973\", alpha=\"0.07\", expect_size=\"47060992\"] \n  16 -> 19 [size =\"47060992\"]\n  16 -> 21 [size =\"47060992\"]\n  16 -> 22 [size =\"47060992\"]\n  17 [size=\"93013333\", alpha=\"0.19\", expect_size=\"27904000\"] \n  17 -> 27 [size =\"27904000\"]\n  17 -> 28 [size =\"27904000\"]\n  18 [size=\"101000533\", alpha=\"0.19\", expect_size=\"30300160\"] \n  18 -> 24 [size =\"30300160\"]\n  18 -> 25 [size =\"30300160\"]\n  18 -> 28 [size =\"30300160\"]\n  19 [size=\"64501760\", alpha=\"0.15\", expect_size=\"19350528\"] \n  19 -> 24 [size =\"19350528\"]\n  19 -> 25 [size =\"19350528\"]\n  19 -> 26 [size =\"19350528\"]\n  20 [size=\"116343467\", alpha=\"0.00\", expect_size=\"34903040\"] \n  20 -> 25 [size =\"34903040\"]\n  20 -> 28 [size =\"34903040\"]\n  21 [size=\"135362560\", alpha=\"0.20\", expect_size=\"40608768\"] \n  21 -> 24 [size =\"40608768\"]\n  21 -> 27 [size =\"40608768\"]\n  21 -> 28 [size =\"40608768\"]\n  22 [size=\"68208640\", alpha=\"0.11\", expect_size=\"20462592\"] \n  22 -> 24 [size =\"20462592\"]\n  22 -> 27 [size =\"20462592\"]\n  22 -> 28 [size =\"20462592\"]\n  23 [size=\"30494720\", alpha=\"0.06\", expect_size=\"9148416\"] \n  23 -> 25 [size =\"9148416\"]\n  23 -> 27 [size =\"9148416\"]\n  24 [size=\"142493013\", alpha=\"0.15\", expect_size=\"42747904\"] \n  24 -> 32 [size =\"42747904\"]\n  25 [size=\"169666560\", alpha=\"0.10\", expect_size=\"50899968\"] \n  25 -> 29 [size =\"50899968\"]\n  25 -> 32 [size =\"50899968\"]\n  26 [size=\"24378027\", alpha=\"0.08\", expect_size=\"7313408\"] \n  26 -> 32 [size =\"7313408\"]\n  26 -> 34 [size =\"7313408\"]\n  27 [size=\"81616213\", alpha=\"0.12\", expect_size=\"24484864\"] \n  27 -> 33 [size =\"24484864\"]\n  27 -> 34 [size =\"24484864\"]\n  28 [size=\"71396693\", alpha=\"0.05\", expect_size=\"21419008\"] \n  28 -> 30 [size =\"21419008\"]\n  28 -> 31 [size =\"21419008\"]\n  28 -> 33 [size =\"21419008\"]\n  29 [size=\"63044267\", alpha=\"0.19\", expect_size=\"18913280\"] \n  29 -> 35 [size =\"18913280\"]\n  30 [size=\"20770133\", alpha=\"0.13\", expect_size=\"6231040\"] \n  30 -> 35 [size =\"6231040\"]\n  31 [size=\"23627093\", alpha=\"0.20\", expect_size=\"7088128\"] \n  32 [size=\"22101333\", alpha=\"0.04\", expect_size=\"6630400\"] \n  32 -> 35 [size =\"6630400\"]\n  33 [size=\"105151147\", alpha=\"0.03\", expect_size=\"31545344\"] \n  34 [size=\"150954667\", alpha=\"0.11\", expect_size=\"45286400\"] \n  35 [size=\"111271253\", alpha=\"0.13\", expect_size=\"33381376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106308267\", alpha=\"0.02\", expect_size=\"31892480\"] \n  1 -> 8 [size =\"31892480\"]\n  1 -> 8 [size =\"31892480\"]\n  1 -> 9 [size =\"31892480\"]\n  2 [size=\"19544747\", alpha=\"0.07\", expect_size=\"5863424\"] \n  2 -> 9 [size =\"5863424\"]\n  3 [size=\"164973227\", alpha=\"0.01\", expect_size=\"49491968\"] \n  3 -> 7 [size =\"49491968\"]\n  3 -> 9 [size =\"49491968\"]\n  4 [size=\"173615787\", alpha=\"0.02\", expect_size=\"52084736\"] \n  5 [size=\"25746773\", alpha=\"0.02\", expect_size=\"7724032\"] \n  5 -> 7 [size =\"7724032\"]\n  6 [size=\"23033173\", alpha=\"0.15\", expect_size=\"6909952\"] \n  6 -> 7 [size =\"6909952\"]\n  6 -> 8 [size =\"6909952\"]\n  7 [size=\"95720107\", alpha=\"0.13\", expect_size=\"28716032\"] \n  7 -> 11 [size =\"28716032\"]\n  8 [size=\"119401813\", alpha=\"0.09\", expect_size=\"35820544\"] \n  8 -> 10 [size =\"35820544\"]\n  8 -> 12 [size =\"35820544\"]\n  8 -> 13 [size =\"35820544\"]\n  8 -> 14 [size =\"35820544\"]\n  9 [size=\"135226027\", alpha=\"0.01\", expect_size=\"40567808\"] \n  9 -> 11 [size =\"40567808\"]\n  9 -> 12 [size =\"40567808\"]\n  9 -> 14 [size =\"40567808\"]\n  10 [size=\"36618240\", alpha=\"0.09\", expect_size=\"10985472\"] \n  10 -> 15 [size =\"10985472\"]\n  10 -> 17 [size =\"10985472\"]\n  10 -> 19 [size =\"10985472\"]\n  11 [size=\"159010133\", alpha=\"0.16\", expect_size=\"47703040\"] \n  11 -> 16 [size =\"47703040\"]\n  12 [size=\"172840960\", alpha=\"0.09\", expect_size=\"51852288\"] \n  12 -> 15 [size =\"51852288\"]\n  12 -> 17 [size =\"51852288\"]\n  13 [size=\"67956053\", alpha=\"0.03\", expect_size=\"20386816\"] \n  13 -> 18 [size =\"20386816\"]\n  14 [size=\"77608960\", alpha=\"0.16\", expect_size=\"23282688\"] \n  14 -> 17 [size =\"23282688\"]\n  14 -> 18 [size =\"23282688\"]\n  15 [size=\"93518507\", alpha=\"0.11\", expect_size=\"28055552\"] \n  15 -> 21 [size =\"28055552\"]\n  16 [size=\"111172267\", alpha=\"0.12\", expect_size=\"33351680\"] \n  16 -> 21 [size =\"33351680\"]\n  16 -> 22 [size =\"33351680\"]\n  16 -> 23 [size =\"33351680\"]\n  17 [size=\"70417067\", alpha=\"0.11\", expect_size=\"21125120\"] \n  17 -> 22 [size =\"21125120\"]\n  17 -> 23 [size =\"21125120\"]\n  18 [size=\"171294720\", alpha=\"0.01\", expect_size=\"51388416\"] \n  18 -> 22 [size =\"51388416\"]\n  19 [size=\"84271787\", alpha=\"0.05\", expect_size=\"25281536\"] \n  19 -> 20 [size =\"25281536\"]\n  19 -> 22 [size =\"25281536\"]\n  20 [size=\"95232000\", alpha=\"0.03\", expect_size=\"28569600\"] \n  20 -> 26 [size =\"28569600\"]\n  21 [size=\"163669333\", alpha=\"0.13\", expect_size=\"49100800\"] \n  21 -> 24 [size =\"49100800\"]\n  21 -> 27 [size =\"49100800\"]\n  21 -> 28 [size =\"49100800\"]\n  21 -> 29 [size =\"49100800\"]\n  22 [size=\"134116693\", alpha=\"0.02\", expect_size=\"40235008\"] \n  22 -> 24 [size =\"40235008\"]\n  22 -> 25 [size =\"40235008\"]\n  22 -> 28 [size =\"40235008\"]\n  23 [size=\"51145387\", alpha=\"0.11\", expect_size=\"15343616\"] \n  23 -> 25 [size =\"15343616\"]\n  23 -> 27 [size =\"15343616\"]\n  23 -> 28 [size =\"15343616\"]\n  23 -> 29 [size =\"15343616\"]\n  24 [size=\"71645867\", alpha=\"0.19\", expect_size=\"21493760\"] \n  25 [size=\"40891733\", alpha=\"0.09\", expect_size=\"12267520\"] \n  25 -> 30 [size =\"12267520\"]\n  26 [size=\"129594027\", alpha=\"0.19\", expect_size=\"38878208\"] \n  27 [size=\"70048427\", alpha=\"0.19\", expect_size=\"21014528\"] \n  27 -> 31 [size =\"21014528\"]\n  27 -> 33 [size =\"21014528\"]\n  28 [size=\"159419733\", alpha=\"0.12\", expect_size=\"47825920\"] \n  28 -> 32 [size =\"47825920\"]\n  29 [size=\"171076267\", alpha=\"0.20\", expect_size=\"51322880\"] \n  30 [size=\"52800853\", alpha=\"0.10\", expect_size=\"15840256\"] \n  30 -> 34 [size =\"15840256\"]\n  30 -> 35 [size =\"15840256\"]\n  31 [size=\"77380267\", alpha=\"0.18\", expect_size=\"23214080\"] \n  32 [size=\"19070293\", alpha=\"0.07\", expect_size=\"5721088\"] \n  32 -> 34 [size =\"5721088\"]\n  33 [size=\"37236053\", alpha=\"0.01\", expect_size=\"11170816\"] \n  33 -> 34 [size =\"11170816\"]\n  33 -> 35 [size =\"11170816\"]\n  34 [size=\"122084693\", alpha=\"0.03\", expect_size=\"36625408\"] \n  35 [size=\"115186347\", alpha=\"0.15\", expect_size=\"34555904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37720064\", alpha=\"0.17\", expect_size=\"18860032\"] \n  1 -> 2 [size =\"18860032\"]\n  2 [size=\"22978560\", alpha=\"0.20\", expect_size=\"11489280\"] \n  2 -> 3 [size =\"11489280\"]\n  3 [size=\"17633280\", alpha=\"0.18\", expect_size=\"8816640\"] \n  3 -> 4 [size =\"8816640\"]\n  4 [size=\"96946176\", alpha=\"0.04\", expect_size=\"48473088\"] \n  4 -> 5 [size =\"48473088\"]\n  5 [size=\"99584000\", alpha=\"0.17\", expect_size=\"49792000\"] \n  5 -> 6 [size =\"49792000\"]\n  6 [size=\"102041600\", alpha=\"0.03\", expect_size=\"51020800\"] \n  6 -> 7 [size =\"51020800\"]\n  7 [size=\"37382144\", alpha=\"0.07\", expect_size=\"18691072\"] \n  7 -> 8 [size =\"18691072\"]\n  8 [size=\"28815360\", alpha=\"0.03\", expect_size=\"14407680\"] \n  8 -> 9 [size =\"14407680\"]\n  9 [size=\"31201280\", alpha=\"0.06\", expect_size=\"15600640\"] \n  9 -> 10 [size =\"15600640\"]\n  10 [size=\"28964864\", alpha=\"0.02\", expect_size=\"14482432\"] \n  10 -> 11 [size =\"14482432\"]\n  11 [size=\"87394304\", alpha=\"0.19\", expect_size=\"43697152\"] \n  11 -> 12 [size =\"43697152\"]\n  12 [size=\"74098688\", alpha=\"0.19\", expect_size=\"37049344\"] \n  12 -> 13 [size =\"37049344\"]\n  13 [size=\"73244672\", alpha=\"0.17\", expect_size=\"36622336\"] \n  13 -> 14 [size =\"36622336\"]\n  14 [size=\"64602112\", alpha=\"0.18\", expect_size=\"32301056\"] \n  14 -> 15 [size =\"32301056\"]\n  15 [size=\"84674560\", alpha=\"0.18\", expect_size=\"42337280\"] \n  15 -> 16 [size =\"42337280\"]\n  16 [size=\"69634048\", alpha=\"0.15\", expect_size=\"34817024\"] \n  16 -> 17 [size =\"34817024\"]\n  17 [size=\"84039680\", alpha=\"0.05\", expect_size=\"42019840\"] \n  17 -> 18 [size =\"42019840\"]\n  18 [size=\"21133312\", alpha=\"0.01\", expect_size=\"10566656\"] \n  18 -> 19 [size =\"10566656\"]\n  19 [size=\"35887104\", alpha=\"0.16\", expect_size=\"17943552\"] \n  19 -> 20 [size =\"17943552\"]\n  20 [size=\"62347264\", alpha=\"0.07\", expect_size=\"31173632\"] \n  20 -> 21 [size =\"31173632\"]\n  21 [size=\"71131136\", alpha=\"0.03\", expect_size=\"35565568\"] \n  21 -> 22 [size =\"35565568\"]\n  22 [size=\"66041856\", alpha=\"0.02\", expect_size=\"33020928\"] \n  22 -> 23 [size =\"33020928\"]\n  23 [size=\"59977728\", alpha=\"0.02\", expect_size=\"29988864\"] \n  23 -> 24 [size =\"29988864\"]\n  24 [size=\"45932544\", alpha=\"0.01\", expect_size=\"22966272\"] \n  24 -> 25 [size =\"22966272\"]\n  25 [size=\"35590144\", alpha=\"0.19\", expect_size=\"17795072\"] \n  25 -> 26 [size =\"17795072\"]\n  26 [size=\"24516608\", alpha=\"0.16\", expect_size=\"12258304\"] \n  26 -> 27 [size =\"12258304\"]\n  27 [size=\"93030400\", alpha=\"0.18\", expect_size=\"46515200\"] \n  27 -> 28 [size =\"46515200\"]\n  28 [size=\"23171072\", alpha=\"0.05\", expect_size=\"11585536\"] \n  28 -> 29 [size =\"11585536\"]\n  29 [size=\"26988544\", alpha=\"0.16\", expect_size=\"13494272\"] \n  29 -> 30 [size =\"13494272\"]\n  30 [size=\"103553024\", alpha=\"0.11\", expect_size=\"51776512\"] \n  30 -> 31 [size =\"51776512\"]\n  31 [size=\"40828928\", alpha=\"0.02\", expect_size=\"20414464\"] \n  31 -> 32 [size =\"20414464\"]\n  32 [size=\"54792192\", alpha=\"0.07\", expect_size=\"27396096\"] \n  32 -> 33 [size =\"27396096\"]\n  33 [size=\"63567872\", alpha=\"0.05\", expect_size=\"31783936\"] \n  33 -> 34 [size =\"31783936\"]\n  34 [size=\"74303488\", alpha=\"0.14\", expect_size=\"37151744\"] \n  34 -> 35 [size =\"37151744\"]\n  35 [size=\"79091712\", alpha=\"0.19\", expect_size=\"39545856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81827840\", alpha=\"0.13\", expect_size=\"40913920\"] \n  1 -> 15 [size =\"40913920\"]\n  2 [size=\"17913856\", alpha=\"0.13\", expect_size=\"8956928\"] \n  2 -> 20 [size =\"8956928\"]\n  2 -> 23 [size =\"8956928\"]\n  3 [size=\"61052928\", alpha=\"0.07\", expect_size=\"30526464\"] \n  3 -> 14 [size =\"30526464\"]\n  4 [size=\"52981760\", alpha=\"0.08\", expect_size=\"26490880\"] \n  4 -> 15 [size =\"26490880\"]\n  4 -> 19 [size =\"26490880\"]\n  4 -> 23 [size =\"26490880\"]\n  5 [size=\"16324608\", alpha=\"0.10\", expect_size=\"8162304\"] \n  5 -> 15 [size =\"8162304\"]\n  5 -> 19 [size =\"8162304\"]\n  5 -> 23 [size =\"8162304\"]\n  6 [size=\"61675520\", alpha=\"0.04\", expect_size=\"30837760\"] \n  6 -> 13 [size =\"30837760\"]\n  6 -> 15 [size =\"30837760\"]\n  6 -> 16 [size =\"30837760\"]\n  6 -> 17 [size =\"30837760\"]\n  6 -> 18 [size =\"30837760\"]\n  6 -> 23 [size =\"30837760\"]\n  7 [size=\"43161600\", alpha=\"0.15\", expect_size=\"21580800\"] \n  7 -> 15 [size =\"21580800\"]\n  7 -> 18 [size =\"21580800\"]\n  7 -> 23 [size =\"21580800\"]\n  8 [size=\"56805376\", alpha=\"0.08\", expect_size=\"28402688\"] \n  8 -> 13 [size =\"28402688\"]\n  8 -> 14 [size =\"28402688\"]\n  8 -> 18 [size =\"28402688\"]\n  8 -> 21 [size =\"28402688\"]\n  9 [size=\"86646784\", alpha=\"0.05\", expect_size=\"43323392\"] \n  9 -> 13 [size =\"43323392\"]\n  9 -> 18 [size =\"43323392\"]\n  9 -> 19 [size =\"43323392\"]\n  9 -> 22 [size =\"43323392\"]\n  10 [size=\"29487104\", alpha=\"0.13\", expect_size=\"14743552\"] \n  10 -> 13 [size =\"14743552\"]\n  10 -> 16 [size =\"14743552\"]\n  10 -> 18 [size =\"14743552\"]\n  10 -> 19 [size =\"14743552\"]\n  10 -> 20 [size =\"14743552\"]\n  10 -> 23 [size =\"14743552\"]\n  11 [size=\"101816320\", alpha=\"0.08\", expect_size=\"50908160\"] \n  11 -> 19 [size =\"50908160\"]\n  11 -> 20 [size =\"50908160\"]\n  12 [size=\"70473728\", alpha=\"0.05\", expect_size=\"35236864\"] \n  12 -> 15 [size =\"35236864\"]\n  12 -> 19 [size =\"35236864\"]\n  12 -> 20 [size =\"35236864\"]\n  13 [size=\"38983680\", alpha=\"0.07\", expect_size=\"19491840\"] \n  13 -> 24 [size =\"19491840\"]\n  13 -> 30 [size =\"19491840\"]\n  13 -> 31 [size =\"19491840\"]\n  13 -> 33 [size =\"19491840\"]\n  14 [size=\"69738496\", alpha=\"0.16\", expect_size=\"34869248\"] \n  14 -> 26 [size =\"34869248\"]\n  14 -> 27 [size =\"34869248\"]\n  14 -> 30 [size =\"34869248\"]\n  14 -> 31 [size =\"34869248\"]\n  15 [size=\"13875200\", alpha=\"0.14\", expect_size=\"6937600\"] \n  15 -> 25 [size =\"6937600\"]\n  15 -> 30 [size =\"6937600\"]\n  15 -> 31 [size =\"6937600\"]\n  15 -> 33 [size =\"6937600\"]\n  16 [size=\"61640704\", alpha=\"0.02\", expect_size=\"30820352\"] \n  16 -> 26 [size =\"30820352\"]\n  17 [size=\"78594048\", alpha=\"0.02\", expect_size=\"39297024\"] \n  17 -> 28 [size =\"39297024\"]\n  18 [size=\"55646208\", alpha=\"0.16\", expect_size=\"27823104\"] \n  18 -> 26 [size =\"27823104\"]\n  18 -> 29 [size =\"27823104\"]\n  18 -> 34 [size =\"27823104\"]\n  19 [size=\"92704768\", alpha=\"0.02\", expect_size=\"46352384\"] \n  19 -> 25 [size =\"46352384\"]\n  19 -> 28 [size =\"46352384\"]\n  19 -> 31 [size =\"46352384\"]\n  19 -> 33 [size =\"46352384\"]\n  20 [size=\"21651456\", alpha=\"0.18\", expect_size=\"10825728\"] \n  20 -> 26 [size =\"10825728\"]\n  20 -> 30 [size =\"10825728\"]\n  20 -> 33 [size =\"10825728\"]\n  20 -> 34 [size =\"10825728\"]\n  21 [size=\"84762624\", alpha=\"0.09\", expect_size=\"42381312\"] \n  21 -> 29 [size =\"42381312\"]\n  21 -> 31 [size =\"42381312\"]\n  21 -> 33 [size =\"42381312\"]\n  21 -> 34 [size =\"42381312\"]\n  22 [size=\"28495872\", alpha=\"0.02\", expect_size=\"14247936\"] \n  22 -> 28 [size =\"14247936\"]\n  22 -> 32 [size =\"14247936\"]\n  22 -> 34 [size =\"14247936\"]\n  23 [size=\"53471232\", alpha=\"0.06\", expect_size=\"26735616\"] \n  23 -> 30 [size =\"26735616\"]\n  23 -> 34 [size =\"26735616\"]\n  23 -> 35 [size =\"26735616\"]\n  24 [size=\"87701504\", alpha=\"0.19\", expect_size=\"43850752\"] \n  25 [size=\"67772416\", alpha=\"0.13\", expect_size=\"33886208\"] \n  26 [size=\"39518208\", alpha=\"0.18\", expect_size=\"19759104\"] \n  27 [size=\"49897472\", alpha=\"0.09\", expect_size=\"24948736\"] \n  28 [size=\"60196864\", alpha=\"0.11\", expect_size=\"30098432\"] \n  29 [size=\"39999488\", alpha=\"0.09\", expect_size=\"19999744\"] \n  30 [size=\"48009216\", alpha=\"0.10\", expect_size=\"24004608\"] \n  31 [size=\"38567936\", alpha=\"0.11\", expect_size=\"19283968\"] \n  32 [size=\"83019776\", alpha=\"0.05\", expect_size=\"41509888\"] \n  33 [size=\"94418944\", alpha=\"0.05\", expect_size=\"47209472\"] \n  34 [size=\"28966912\", alpha=\"0.17\", expect_size=\"14483456\"] \n  35 [size=\"23529472\", alpha=\"0.10\", expect_size=\"11764736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129416533\", alpha=\"0.13\", expect_size=\"38824960\"] \n  1 -> 4 [size =\"38824960\"]\n  1 -> 5 [size =\"38824960\"]\n  1 -> 6 [size =\"38824960\"]\n  1 -> 7 [size =\"38824960\"]\n  2 [size=\"58501120\", alpha=\"0.18\", expect_size=\"17550336\"] \n  2 -> 4 [size =\"17550336\"]\n  2 -> 5 [size =\"17550336\"]\n  2 -> 6 [size =\"17550336\"]\n  2 -> 7 [size =\"17550336\"]\n  2 -> 9 [size =\"17550336\"]\n  3 [size=\"94655147\", alpha=\"0.11\", expect_size=\"28396544\"] \n  3 -> 4 [size =\"28396544\"]\n  3 -> 5 [size =\"28396544\"]\n  3 -> 6 [size =\"28396544\"]\n  3 -> 7 [size =\"28396544\"]\n  3 -> 8 [size =\"28396544\"]\n  3 -> 9 [size =\"28396544\"]\n  4 [size=\"165389653\", alpha=\"0.07\", expect_size=\"49616896\"] \n  4 -> 12 [size =\"49616896\"]\n  5 [size=\"169823573\", alpha=\"0.00\", expect_size=\"50947072\"] \n  5 -> 10 [size =\"50947072\"]\n  6 [size=\"169506133\", alpha=\"0.16\", expect_size=\"50851840\"] \n  6 -> 10 [size =\"50851840\"]\n  6 -> 11 [size =\"50851840\"]\n  6 -> 12 [size =\"50851840\"]\n  6 -> 13 [size =\"50851840\"]\n  7 [size=\"51715413\", alpha=\"0.08\", expect_size=\"15514624\"] \n  7 -> 10 [size =\"15514624\"]\n  7 -> 11 [size =\"15514624\"]\n  7 -> 13 [size =\"15514624\"]\n  8 [size=\"89292800\", alpha=\"0.03\", expect_size=\"26787840\"] \n  8 -> 11 [size =\"26787840\"]\n  9 [size=\"148394667\", alpha=\"0.05\", expect_size=\"44518400\"] \n  9 -> 10 [size =\"44518400\"]\n  9 -> 11 [size =\"44518400\"]\n  9 -> 12 [size =\"44518400\"]\n  10 [size=\"166345387\", alpha=\"0.14\", expect_size=\"49903616\"] \n  10 -> 14 [size =\"49903616\"]\n  10 -> 17 [size =\"49903616\"]\n  11 [size=\"132150613\", alpha=\"0.16\", expect_size=\"39645184\"] \n  11 -> 14 [size =\"39645184\"]\n  11 -> 15 [size =\"39645184\"]\n  11 -> 17 [size =\"39645184\"]\n  12 [size=\"78004907\", alpha=\"0.17\", expect_size=\"23401472\"] \n  12 -> 14 [size =\"23401472\"]\n  12 -> 15 [size =\"23401472\"]\n  12 -> 17 [size =\"23401472\"]\n  13 [size=\"61996373\", alpha=\"0.13\", expect_size=\"18598912\"] \n  13 -> 14 [size =\"18598912\"]\n  13 -> 15 [size =\"18598912\"]\n  13 -> 16 [size =\"18598912\"]\n  13 -> 17 [size =\"18598912\"]\n  14 [size=\"147343360\", alpha=\"0.18\", expect_size=\"44203008\"] \n  14 -> 18 [size =\"44203008\"]\n  14 -> 19 [size =\"44203008\"]\n  14 -> 20 [size =\"44203008\"]\n  15 [size=\"42506240\", alpha=\"0.06\", expect_size=\"12751872\"] \n  15 -> 18 [size =\"12751872\"]\n  15 -> 19 [size =\"12751872\"]\n  16 [size=\"44001280\", alpha=\"0.09\", expect_size=\"13200384\"] \n  16 -> 18 [size =\"13200384\"]\n  16 -> 19 [size =\"13200384\"]\n  16 -> 20 [size =\"13200384\"]\n  17 [size=\"173636267\", alpha=\"0.19\", expect_size=\"52090880\"] \n  17 -> 18 [size =\"52090880\"]\n  17 -> 19 [size =\"52090880\"]\n  17 -> 20 [size =\"52090880\"]\n  18 [size=\"77469013\", alpha=\"0.13\", expect_size=\"23240704\"] \n  18 -> 21 [size =\"23240704\"]\n  18 -> 23 [size =\"23240704\"]\n  19 [size=\"99269973\", alpha=\"0.16\", expect_size=\"29780992\"] \n  19 -> 21 [size =\"29780992\"]\n  19 -> 23 [size =\"29780992\"]\n  20 [size=\"137697280\", alpha=\"0.05\", expect_size=\"41309184\"] \n  20 -> 21 [size =\"41309184\"]\n  20 -> 22 [size =\"41309184\"]\n  20 -> 23 [size =\"41309184\"]\n  21 [size=\"90265600\", alpha=\"0.08\", expect_size=\"27079680\"] \n  21 -> 25 [size =\"27079680\"]\n  21 -> 26 [size =\"27079680\"]\n  21 -> 27 [size =\"27079680\"]\n  22 [size=\"61866667\", alpha=\"0.16\", expect_size=\"18560000\"] \n  22 -> 25 [size =\"18560000\"]\n  22 -> 26 [size =\"18560000\"]\n  22 -> 27 [size =\"18560000\"]\n  23 [size=\"38898347\", alpha=\"0.14\", expect_size=\"11669504\"] \n  23 -> 24 [size =\"11669504\"]\n  23 -> 25 [size =\"11669504\"]\n  23 -> 26 [size =\"11669504\"]\n  23 -> 27 [size =\"11669504\"]\n  24 [size=\"138792960\", alpha=\"0.11\", expect_size=\"41637888\"] \n  24 -> 28 [size =\"41637888\"]\n  24 -> 30 [size =\"41637888\"]\n  25 [size=\"119255040\", alpha=\"0.08\", expect_size=\"35776512\"] \n  25 -> 28 [size =\"35776512\"]\n  25 -> 30 [size =\"35776512\"]\n  26 [size=\"164887893\", alpha=\"0.03\", expect_size=\"49466368\"] \n  26 -> 28 [size =\"49466368\"]\n  26 -> 29 [size =\"49466368\"]\n  26 -> 30 [size =\"49466368\"]\n  26 -> 31 [size =\"49466368\"]\n  27 [size=\"76414293\", alpha=\"0.03\", expect_size=\"22924288\"] \n  27 -> 28 [size =\"22924288\"]\n  27 -> 30 [size =\"22924288\"]\n  28 [size=\"66392747\", alpha=\"0.12\", expect_size=\"19917824\"] \n  28 -> 32 [size =\"19917824\"]\n  28 -> 33 [size =\"19917824\"]\n  28 -> 35 [size =\"19917824\"]\n  29 [size=\"172025173\", alpha=\"0.18\", expect_size=\"51607552\"] \n  29 -> 33 [size =\"51607552\"]\n  29 -> 33 [size =\"51607552\"]\n  29 -> 34 [size =\"51607552\"]\n  30 [size=\"141738667\", alpha=\"0.03\", expect_size=\"42521600\"] \n  30 -> 35 [size =\"42521600\"]\n  31 [size=\"23681707\", alpha=\"0.02\", expect_size=\"7104512\"] \n  31 -> 33 [size =\"7104512\"]\n  32 [size=\"87084373\", alpha=\"0.09\", expect_size=\"26125312\"] \n  33 [size=\"58398720\", alpha=\"0.02\", expect_size=\"17519616\"] \n  34 [size=\"172086613\", alpha=\"0.11\", expect_size=\"51625984\"] \n  35 [size=\"104212480\", alpha=\"0.03\", expect_size=\"31263744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91921067\", alpha=\"0.11\", expect_size=\"27576320\"] \n  1 -> 15 [size =\"27576320\"]\n  1 -> 16 [size =\"27576320\"]\n  1 -> 17 [size =\"27576320\"]\n  1 -> 19 [size =\"27576320\"]\n  2 [size=\"24326827\", alpha=\"0.18\", expect_size=\"7298048\"] \n  2 -> 13 [size =\"7298048\"]\n  2 -> 14 [size =\"7298048\"]\n  2 -> 15 [size =\"7298048\"]\n  2 -> 19 [size =\"7298048\"]\n  3 [size=\"117985280\", alpha=\"0.11\", expect_size=\"35395584\"] \n  3 -> 14 [size =\"35395584\"]\n  3 -> 15 [size =\"35395584\"]\n  3 -> 16 [size =\"35395584\"]\n  4 [size=\"39007573\", alpha=\"0.18\", expect_size=\"11702272\"] \n  4 -> 15 [size =\"11702272\"]\n  4 -> 18 [size =\"11702272\"]\n  5 [size=\"118562133\", alpha=\"0.06\", expect_size=\"35568640\"] \n  5 -> 18 [size =\"35568640\"]\n  6 [size=\"27252053\", alpha=\"0.01\", expect_size=\"8175616\"] \n  6 -> 13 [size =\"8175616\"]\n  6 -> 16 [size =\"8175616\"]\n  6 -> 18 [size =\"8175616\"]\n  7 [size=\"145981440\", alpha=\"0.08\", expect_size=\"43794432\"] \n  7 -> 13 [size =\"43794432\"]\n  7 -> 16 [size =\"43794432\"]\n  7 -> 18 [size =\"43794432\"]\n  8 [size=\"112168960\", alpha=\"0.12\", expect_size=\"33650688\"] \n  8 -> 13 [size =\"33650688\"]\n  8 -> 18 [size =\"33650688\"]\n  9 [size=\"124224853\", alpha=\"0.14\", expect_size=\"37267456\"] \n  9 -> 12 [size =\"37267456\"]\n  9 -> 14 [size =\"37267456\"]\n  10 [size=\"37969920\", alpha=\"0.03\", expect_size=\"11390976\"] \n  10 -> 14 [size =\"11390976\"]\n  10 -> 15 [size =\"11390976\"]\n  10 -> 16 [size =\"11390976\"]\n  10 -> 18 [size =\"11390976\"]\n  10 -> 19 [size =\"11390976\"]\n  11 [size=\"122705920\", alpha=\"0.14\", expect_size=\"36811776\"] \n  11 -> 16 [size =\"36811776\"]\n  11 -> 19 [size =\"36811776\"]\n  12 [size=\"48097280\", alpha=\"0.02\", expect_size=\"14429184\"] \n  12 -> 25 [size =\"14429184\"]\n  12 -> 26 [size =\"14429184\"]\n  13 [size=\"28907520\", alpha=\"0.02\", expect_size=\"8672256\"] \n  13 -> 21 [size =\"8672256\"]\n  13 -> 22 [size =\"8672256\"]\n  13 -> 23 [size =\"8672256\"]\n  14 [size=\"116947627\", alpha=\"0.19\", expect_size=\"35084288\"] \n  14 -> 24 [size =\"35084288\"]\n  14 -> 25 [size =\"35084288\"]\n  14 -> 28 [size =\"35084288\"]\n  14 -> 29 [size =\"35084288\"]\n  14 -> 30 [size =\"35084288\"]\n  15 [size=\"102089387\", alpha=\"0.11\", expect_size=\"30626816\"] \n  15 -> 24 [size =\"30626816\"]\n  15 -> 25 [size =\"30626816\"]\n  15 -> 26 [size =\"30626816\"]\n  15 -> 28 [size =\"30626816\"]\n  15 -> 29 [size =\"30626816\"]\n  16 [size=\"152681813\", alpha=\"0.10\", expect_size=\"45804544\"] \n  16 -> 20 [size =\"45804544\"]\n  16 -> 23 [size =\"45804544\"]\n  16 -> 25 [size =\"45804544\"]\n  16 -> 26 [size =\"45804544\"]\n  16 -> 27 [size =\"45804544\"]\n  16 -> 29 [size =\"45804544\"]\n  17 [size=\"163843413\", alpha=\"0.15\", expect_size=\"49153024\"] \n  17 -> 23 [size =\"49153024\"]\n  17 -> 26 [size =\"49153024\"]\n  17 -> 27 [size =\"49153024\"]\n  18 [size=\"72407040\", alpha=\"0.20\", expect_size=\"21722112\"] \n  18 -> 23 [size =\"21722112\"]\n  19 [size=\"166843733\", alpha=\"0.10\", expect_size=\"50053120\"] \n  19 -> 22 [size =\"50053120\"]\n  19 -> 24 [size =\"50053120\"]\n  19 -> 30 [size =\"50053120\"]\n  20 [size=\"116360533\", alpha=\"0.02\", expect_size=\"34908160\"] \n  20 -> 32 [size =\"34908160\"]\n  20 -> 33 [size =\"34908160\"]\n  20 -> 34 [size =\"34908160\"]\n  21 [size=\"141294933\", alpha=\"0.03\", expect_size=\"42388480\"] \n  21 -> 31 [size =\"42388480\"]\n  21 -> 32 [size =\"42388480\"]\n  22 [size=\"96092160\", alpha=\"0.05\", expect_size=\"28827648\"] \n  23 [size=\"112506880\", alpha=\"0.00\", expect_size=\"33752064\"] \n  23 -> 31 [size =\"33752064\"]\n  23 -> 34 [size =\"33752064\"]\n  24 [size=\"125395627\", alpha=\"0.18\", expect_size=\"37618688\"] \n  24 -> 32 [size =\"37618688\"]\n  24 -> 33 [size =\"37618688\"]\n  24 -> 34 [size =\"37618688\"]\n  25 [size=\"119299413\", alpha=\"0.08\", expect_size=\"35789824\"] \n  25 -> 32 [size =\"35789824\"]\n  25 -> 34 [size =\"35789824\"]\n  25 -> 35 [size =\"35789824\"]\n  26 [size=\"45400747\", alpha=\"0.00\", expect_size=\"13620224\"] \n  26 -> 31 [size =\"13620224\"]\n  26 -> 33 [size =\"13620224\"]\n  27 [size=\"124972373\", alpha=\"0.08\", expect_size=\"37491712\"] \n  27 -> 31 [size =\"37491712\"]\n  27 -> 33 [size =\"37491712\"]\n  28 [size=\"86456320\", alpha=\"0.08\", expect_size=\"25936896\"] \n  28 -> 31 [size =\"25936896\"]\n  28 -> 33 [size =\"25936896\"]\n  29 [size=\"85835093\", alpha=\"0.02\", expect_size=\"25750528\"] \n  30 [size=\"165942613\", alpha=\"0.18\", expect_size=\"49782784\"] \n  30 -> 31 [size =\"49782784\"]\n  30 -> 32 [size =\"49782784\"]\n  31 [size=\"24132267\", alpha=\"0.08\", expect_size=\"7239680\"] \n  32 [size=\"49421653\", alpha=\"0.02\", expect_size=\"14826496\"] \n  33 [size=\"91378347\", alpha=\"0.17\", expect_size=\"27413504\"] \n  34 [size=\"93224960\", alpha=\"0.04\", expect_size=\"27967488\"] \n  35 [size=\"76496213\", alpha=\"0.03\", expect_size=\"22948864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95000576\", alpha=\"0.04\", expect_size=\"47500288\"] \n  1 -> 2 [size =\"47500288\"]\n  1 -> 3 [size =\"47500288\"]\n  2 [size=\"11642880\", alpha=\"0.03\", expect_size=\"5821440\"] \n  2 -> 4 [size =\"5821440\"]\n  3 [size=\"98777088\", alpha=\"0.01\", expect_size=\"49388544\"] \n  3 -> 4 [size =\"49388544\"]\n  4 [size=\"12804096\", alpha=\"0.08\", expect_size=\"6402048\"] \n  4 -> 5 [size =\"6402048\"]\n  5 [size=\"60051456\", alpha=\"0.11\", expect_size=\"30025728\"] \n  5 -> 6 [size =\"30025728\"]\n  6 [size=\"60852224\", alpha=\"0.14\", expect_size=\"30426112\"] \n  6 -> 7 [size =\"30426112\"]\n  6 -> 8 [size =\"30426112\"]\n  7 [size=\"42743808\", alpha=\"0.19\", expect_size=\"21371904\"] \n  7 -> 9 [size =\"21371904\"]\n  8 [size=\"30521344\", alpha=\"0.10\", expect_size=\"15260672\"] \n  8 -> 9 [size =\"15260672\"]\n  9 [size=\"87787520\", alpha=\"0.08\", expect_size=\"43893760\"] \n  9 -> 10 [size =\"43893760\"]\n  10 [size=\"53020672\", alpha=\"0.02\", expect_size=\"26510336\"] \n  10 -> 11 [size =\"26510336\"]\n  11 [size=\"100638720\", alpha=\"0.04\", expect_size=\"50319360\"] \n  11 -> 12 [size =\"50319360\"]\n  12 [size=\"22888448\", alpha=\"0.02\", expect_size=\"11444224\"] \n  12 -> 13 [size =\"11444224\"]\n  13 [size=\"37949440\", alpha=\"0.03\", expect_size=\"18974720\"] \n  13 -> 14 [size =\"18974720\"]\n  13 -> 15 [size =\"18974720\"]\n  14 [size=\"44099584\", alpha=\"0.08\", expect_size=\"22049792\"] \n  14 -> 16 [size =\"22049792\"]\n  15 [size=\"82884608\", alpha=\"0.17\", expect_size=\"41442304\"] \n  15 -> 16 [size =\"41442304\"]\n  16 [size=\"40413184\", alpha=\"0.08\", expect_size=\"20206592\"] \n  16 -> 17 [size =\"20206592\"]\n  17 [size=\"13465600\", alpha=\"0.07\", expect_size=\"6732800\"] \n  17 -> 18 [size =\"6732800\"]\n  17 -> 19 [size =\"6732800\"]\n  18 [size=\"104335360\", alpha=\"0.02\", expect_size=\"52167680\"] \n  18 -> 20 [size =\"52167680\"]\n  18 -> 21 [size =\"52167680\"]\n  19 [size=\"55121920\", alpha=\"0.12\", expect_size=\"27560960\"] \n  19 -> 20 [size =\"27560960\"]\n  19 -> 21 [size =\"27560960\"]\n  20 [size=\"90626048\", alpha=\"0.05\", expect_size=\"45313024\"] \n  20 -> 22 [size =\"45313024\"]\n  20 -> 23 [size =\"45313024\"]\n  21 [size=\"101318656\", alpha=\"0.16\", expect_size=\"50659328\"] \n  21 -> 22 [size =\"50659328\"]\n  21 -> 23 [size =\"50659328\"]\n  22 [size=\"25020416\", alpha=\"0.08\", expect_size=\"12510208\"] \n  22 -> 24 [size =\"12510208\"]\n  22 -> 25 [size =\"12510208\"]\n  23 [size=\"32241664\", alpha=\"0.18\", expect_size=\"16120832\"] \n  23 -> 24 [size =\"16120832\"]\n  23 -> 25 [size =\"16120832\"]\n  24 [size=\"44914688\", alpha=\"0.09\", expect_size=\"22457344\"] \n  24 -> 26 [size =\"22457344\"]\n  24 -> 27 [size =\"22457344\"]\n  25 [size=\"80427008\", alpha=\"0.11\", expect_size=\"40213504\"] \n  25 -> 26 [size =\"40213504\"]\n  26 [size=\"68376576\", alpha=\"0.02\", expect_size=\"34188288\"] \n  26 -> 28 [size =\"34188288\"]\n  26 -> 29 [size =\"34188288\"]\n  27 [size=\"13936640\", alpha=\"0.01\", expect_size=\"6968320\"] \n  27 -> 28 [size =\"6968320\"]\n  27 -> 29 [size =\"6968320\"]\n  28 [size=\"46520320\", alpha=\"0.04\", expect_size=\"23260160\"] \n  28 -> 30 [size =\"23260160\"]\n  28 -> 31 [size =\"23260160\"]\n  29 [size=\"56223744\", alpha=\"0.04\", expect_size=\"28111872\"] \n  29 -> 30 [size =\"28111872\"]\n  30 [size=\"16687104\", alpha=\"0.12\", expect_size=\"8343552\"] \n  31 [size=\"40634368\", alpha=\"0.20\", expect_size=\"20317184\"] \n  31 -> 32 [size =\"20317184\"]\n  32 [size=\"23838720\", alpha=\"0.10\", expect_size=\"11919360\"] \n  32 -> 33 [size =\"11919360\"]\n  32 -> 34 [size =\"11919360\"]\n  33 [size=\"61827072\", alpha=\"0.06\", expect_size=\"30913536\"] \n  33 -> 35 [size =\"30913536\"]\n  34 [size=\"54149120\", alpha=\"0.09\", expect_size=\"27074560\"] \n  34 -> 35 [size =\"27074560\"]\n  35 [size=\"97499136\", alpha=\"0.08\", expect_size=\"48749568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22359040\", alpha=\"0.01\", expect_size=\"8943616\"] \n  1 -> 2 [size =\"8943616\"]\n  1 -> 3 [size =\"8943616\"]\n  2 [size=\"103475200\", alpha=\"0.08\", expect_size=\"41390080\"] \n  2 -> 4 [size =\"41390080\"]\n  2 -> 5 [size =\"41390080\"]\n  3 [size=\"71239680\", alpha=\"0.15\", expect_size=\"28495872\"] \n  3 -> 4 [size =\"28495872\"]\n  3 -> 5 [size =\"28495872\"]\n  4 [size=\"95726080\", alpha=\"0.04\", expect_size=\"38290432\"] \n  4 -> 6 [size =\"38290432\"]\n  5 [size=\"121825280\", alpha=\"0.08\", expect_size=\"48730112\"] \n  5 -> 6 [size =\"48730112\"]\n  6 [size=\"83340800\", alpha=\"0.02\", expect_size=\"33336320\"] \n  6 -> 7 [size =\"33336320\"]\n  7 [size=\"64465920\", alpha=\"0.06\", expect_size=\"25786368\"] \n  7 -> 8 [size =\"25786368\"]\n  8 [size=\"48437760\", alpha=\"0.08\", expect_size=\"19375104\"] \n  8 -> 9 [size =\"19375104\"]\n  9 [size=\"72427520\", alpha=\"0.14\", expect_size=\"28971008\"] \n  9 -> 10 [size =\"28971008\"]\n  10 [size=\"86671360\", alpha=\"0.11\", expect_size=\"34668544\"] \n  10 -> 11 [size =\"34668544\"]\n  11 [size=\"87866880\", alpha=\"0.08\", expect_size=\"35146752\"] \n  11 -> 12 [size =\"35146752\"]\n  12 [size=\"92321280\", alpha=\"0.11\", expect_size=\"36928512\"] \n  12 -> 13 [size =\"36928512\"]\n  12 -> 14 [size =\"36928512\"]\n  13 [size=\"23976960\", alpha=\"0.07\", expect_size=\"9590784\"] \n  13 -> 15 [size =\"9590784\"]\n  13 -> 16 [size =\"9590784\"]\n  14 [size=\"110945280\", alpha=\"0.13\", expect_size=\"44378112\"] \n  14 -> 15 [size =\"44378112\"]\n  14 -> 16 [size =\"44378112\"]\n  15 [size=\"17057280\", alpha=\"0.00\", expect_size=\"6822912\"] \n  15 -> 17 [size =\"6822912\"]\n  15 -> 18 [size =\"6822912\"]\n  16 [size=\"66316800\", alpha=\"0.01\", expect_size=\"26526720\"] \n  16 -> 17 [size =\"26526720\"]\n  16 -> 18 [size =\"26526720\"]\n  17 [size=\"75648000\", alpha=\"0.18\", expect_size=\"30259200\"] \n  17 -> 19 [size =\"30259200\"]\n  17 -> 20 [size =\"30259200\"]\n  18 [size=\"113333760\", alpha=\"0.17\", expect_size=\"45333504\"] \n  18 -> 19 [size =\"45333504\"]\n  18 -> 20 [size =\"45333504\"]\n  19 [size=\"43758080\", alpha=\"0.02\", expect_size=\"17503232\"] \n  19 -> 22 [size =\"17503232\"]\n  20 [size=\"125655040\", alpha=\"0.11\", expect_size=\"50262016\"] \n  20 -> 21 [size =\"50262016\"]\n  20 -> 22 [size =\"50262016\"]\n  21 [size=\"69911040\", alpha=\"0.03\", expect_size=\"27964416\"] \n  21 -> 23 [size =\"27964416\"]\n  22 [size=\"117806080\", alpha=\"0.09\", expect_size=\"47122432\"] \n  22 -> 23 [size =\"47122432\"]\n  23 [size=\"64166400\", alpha=\"0.05\", expect_size=\"25666560\"] \n  23 -> 24 [size =\"25666560\"]\n  23 -> 25 [size =\"25666560\"]\n  24 [size=\"108364800\", alpha=\"0.15\", expect_size=\"43345920\"] \n  24 -> 26 [size =\"43345920\"]\n  25 [size=\"66063360\", alpha=\"0.04\", expect_size=\"26425344\"] \n  25 -> 26 [size =\"26425344\"]\n  26 [size=\"68646400\", alpha=\"0.05\", expect_size=\"27458560\"] \n  26 -> 27 [size =\"27458560\"]\n  27 [size=\"71900160\", alpha=\"0.14\", expect_size=\"28760064\"] \n  27 -> 28 [size =\"28760064\"]\n  28 [size=\"57625600\", alpha=\"0.09\", expect_size=\"23050240\"] \n  28 -> 29 [size =\"23050240\"]\n  29 [size=\"40660480\", alpha=\"0.15\", expect_size=\"16264192\"] \n  29 -> 30 [size =\"16264192\"]\n  30 [size=\"52239360\", alpha=\"0.12\", expect_size=\"20895744\"] \n  30 -> 31 [size =\"20895744\"]\n  31 [size=\"119820800\", alpha=\"0.03\", expect_size=\"47928320\"] \n  31 -> 32 [size =\"47928320\"]\n  32 [size=\"16724480\", alpha=\"0.07\", expect_size=\"6689792\"] \n  32 -> 33 [size =\"6689792\"]\n  32 -> 34 [size =\"6689792\"]\n  33 [size=\"69253120\", alpha=\"0.13\", expect_size=\"27701248\"] \n  33 -> 35 [size =\"27701248\"]\n  34 [size=\"99609600\", alpha=\"0.15\", expect_size=\"39843840\"] \n  34 -> 35 [size =\"39843840\"]\n  35 [size=\"72448000\", alpha=\"0.18\", expect_size=\"28979200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93868032\", alpha=\"0.09\", expect_size=\"46934016\"] \n  1 -> 3 [size =\"46934016\"]\n  2 [size=\"54370304\", alpha=\"0.06\", expect_size=\"27185152\"] \n  2 -> 4 [size =\"27185152\"]\n  3 [size=\"25645056\", alpha=\"0.13\", expect_size=\"12822528\"] \n  3 -> 5 [size =\"12822528\"]\n  3 -> 7 [size =\"12822528\"]\n  3 -> 8 [size =\"12822528\"]\n  4 [size=\"102811648\", alpha=\"0.18\", expect_size=\"51405824\"] \n  4 -> 6 [size =\"51405824\"]\n  4 -> 9 [size =\"51405824\"]\n  4 -> 10 [size =\"51405824\"]\n  5 [size=\"47638528\", alpha=\"0.09\", expect_size=\"23819264\"] \n  5 -> 11 [size =\"23819264\"]\n  5 -> 14 [size =\"23819264\"]\n  6 [size=\"38172672\", alpha=\"0.10\", expect_size=\"19086336\"] \n  7 [size=\"35981312\", alpha=\"0.18\", expect_size=\"17990656\"] \n  7 -> 12 [size =\"17990656\"]\n  7 -> 13 [size =\"17990656\"]\n  8 [size=\"92704768\", alpha=\"0.19\", expect_size=\"46352384\"] \n  8 -> 11 [size =\"46352384\"]\n  8 -> 14 [size =\"46352384\"]\n  9 [size=\"73279488\", alpha=\"0.10\", expect_size=\"36639744\"] \n  9 -> 11 [size =\"36639744\"]\n  9 -> 13 [size =\"36639744\"]\n  10 [size=\"14514176\", alpha=\"0.06\", expect_size=\"7257088\"] \n  10 -> 11 [size =\"7257088\"]\n  10 -> 13 [size =\"7257088\"]\n  11 [size=\"82681856\", alpha=\"0.10\", expect_size=\"41340928\"] \n  11 -> 15 [size =\"41340928\"]\n  11 -> 19 [size =\"41340928\"]\n  12 [size=\"30377984\", alpha=\"0.09\", expect_size=\"15188992\"] \n  12 -> 18 [size =\"15188992\"]\n  12 -> 19 [size =\"15188992\"]\n  13 [size=\"61016064\", alpha=\"0.13\", expect_size=\"30508032\"] \n  13 -> 17 [size =\"30508032\"]\n  14 [size=\"27875328\", alpha=\"0.14\", expect_size=\"13937664\"] \n  14 -> 15 [size =\"13937664\"]\n  14 -> 16 [size =\"13937664\"]\n  14 -> 17 [size =\"13937664\"]\n  14 -> 19 [size =\"13937664\"]\n  15 [size=\"18669568\", alpha=\"0.04\", expect_size=\"9334784\"] \n  15 -> 21 [size =\"9334784\"]\n  15 -> 22 [size =\"9334784\"]\n  16 [size=\"62664704\", alpha=\"0.13\", expect_size=\"31332352\"] \n  16 -> 20 [size =\"31332352\"]\n  16 -> 23 [size =\"31332352\"]\n  17 [size=\"14254080\", alpha=\"0.18\", expect_size=\"7127040\"] \n  17 -> 20 [size =\"7127040\"]\n  17 -> 21 [size =\"7127040\"]\n  17 -> 22 [size =\"7127040\"]\n  18 [size=\"97333248\", alpha=\"0.04\", expect_size=\"48666624\"] \n  18 -> 22 [size =\"48666624\"]\n  18 -> 23 [size =\"48666624\"]\n  19 [size=\"90765312\", alpha=\"0.20\", expect_size=\"45382656\"] \n  19 -> 20 [size =\"45382656\"]\n  19 -> 23 [size =\"45382656\"]\n  20 [size=\"43847680\", alpha=\"0.19\", expect_size=\"21923840\"] \n  20 -> 25 [size =\"21923840\"]\n  20 -> 26 [size =\"21923840\"]\n  21 [size=\"73154560\", alpha=\"0.16\", expect_size=\"36577280\"] \n  21 -> 24 [size =\"36577280\"]\n  22 [size=\"25903104\", alpha=\"0.02\", expect_size=\"12951552\"] \n  22 -> 24 [size =\"12951552\"]\n  23 [size=\"67291136\", alpha=\"0.12\", expect_size=\"33645568\"] \n  24 [size=\"35332096\", alpha=\"0.01\", expect_size=\"17666048\"] \n  24 -> 28 [size =\"17666048\"]\n  24 -> 29 [size =\"17666048\"]\n  24 -> 30 [size =\"17666048\"]\n  24 -> 31 [size =\"17666048\"]\n  25 [size=\"99848192\", alpha=\"0.18\", expect_size=\"49924096\"] \n  25 -> 30 [size =\"49924096\"]\n  25 -> 31 [size =\"49924096\"]\n  25 -> 32 [size =\"49924096\"]\n  26 [size=\"24836096\", alpha=\"0.00\", expect_size=\"12418048\"] \n  26 -> 27 [size =\"12418048\"]\n  26 -> 29 [size =\"12418048\"]\n  27 [size=\"87969792\", alpha=\"0.09\", expect_size=\"43984896\"] \n  28 [size=\"77309952\", alpha=\"0.14\", expect_size=\"38654976\"] \n  28 -> 33 [size =\"38654976\"]\n  28 -> 35 [size =\"38654976\"]\n  29 [size=\"96651264\", alpha=\"0.13\", expect_size=\"48325632\"] \n  30 [size=\"94769152\", alpha=\"0.13\", expect_size=\"47384576\"] \n  31 [size=\"89540608\", alpha=\"0.08\", expect_size=\"44770304\"] \n  32 [size=\"69978112\", alpha=\"0.07\", expect_size=\"34989056\"] \n  32 -> 34 [size =\"34989056\"]\n  33 [size=\"79968256\", alpha=\"0.17\", expect_size=\"39984128\"] \n  34 [size=\"40298496\", alpha=\"0.11\", expect_size=\"20149248\"] \n  35 [size=\"43294720\", alpha=\"0.06\", expect_size=\"21647360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68539733\", alpha=\"0.14\", expect_size=\"20561920\"] \n  1 -> 2 [size =\"20561920\"]\n  2 [size=\"131160747\", alpha=\"0.15\", expect_size=\"39348224\"] \n  2 -> 3 [size =\"39348224\"]\n  3 [size=\"163891200\", alpha=\"0.01\", expect_size=\"49167360\"] \n  3 -> 4 [size =\"49167360\"]\n  4 [size=\"170680320\", alpha=\"0.12\", expect_size=\"51204096\"] \n  4 -> 5 [size =\"51204096\"]\n  5 [size=\"26955093\", alpha=\"0.20\", expect_size=\"8086528\"] \n  5 -> 6 [size =\"8086528\"]\n  6 [size=\"160020480\", alpha=\"0.09\", expect_size=\"48006144\"] \n  6 -> 7 [size =\"48006144\"]\n  7 [size=\"148514133\", alpha=\"0.14\", expect_size=\"44554240\"] \n  7 -> 8 [size =\"44554240\"]\n  8 [size=\"136198827\", alpha=\"0.07\", expect_size=\"40859648\"] \n  8 -> 9 [size =\"40859648\"]\n  9 [size=\"120726187\", alpha=\"0.19\", expect_size=\"36217856\"] \n  9 -> 10 [size =\"36217856\"]\n  10 [size=\"154893653\", alpha=\"0.09\", expect_size=\"46468096\"] \n  10 -> 11 [size =\"46468096\"]\n  11 [size=\"46882133\", alpha=\"0.05\", expect_size=\"14064640\"] \n  11 -> 12 [size =\"14064640\"]\n  12 [size=\"160604160\", alpha=\"0.18\", expect_size=\"48181248\"] \n  12 -> 13 [size =\"48181248\"]\n  13 [size=\"125016747\", alpha=\"0.07\", expect_size=\"37505024\"] \n  13 -> 14 [size =\"37505024\"]\n  14 [size=\"131092480\", alpha=\"0.01\", expect_size=\"39327744\"] \n  14 -> 15 [size =\"39327744\"]\n  15 [size=\"70557013\", alpha=\"0.19\", expect_size=\"21167104\"] \n  15 -> 16 [size =\"21167104\"]\n  16 [size=\"66757973\", alpha=\"0.18\", expect_size=\"20027392\"] \n  16 -> 17 [size =\"20027392\"]\n  17 [size=\"141175467\", alpha=\"0.00\", expect_size=\"42352640\"] \n  17 -> 18 [size =\"42352640\"]\n  18 [size=\"97129813\", alpha=\"0.01\", expect_size=\"29138944\"] \n  18 -> 19 [size =\"29138944\"]\n  19 [size=\"156013227\", alpha=\"0.13\", expect_size=\"46803968\"] \n  19 -> 20 [size =\"46803968\"]\n  20 [size=\"151244800\", alpha=\"0.01\", expect_size=\"45373440\"] \n  20 -> 21 [size =\"45373440\"]\n  21 [size=\"66802347\", alpha=\"0.17\", expect_size=\"20040704\"] \n  21 -> 22 [size =\"20040704\"]\n  22 [size=\"109905920\", alpha=\"0.07\", expect_size=\"32971776\"] \n  22 -> 23 [size =\"32971776\"]\n  23 [size=\"96822613\", alpha=\"0.15\", expect_size=\"29046784\"] \n  23 -> 24 [size =\"29046784\"]\n  24 [size=\"148340053\", alpha=\"0.03\", expect_size=\"44502016\"] \n  24 -> 25 [size =\"44502016\"]\n  25 [size=\"155354453\", alpha=\"0.12\", expect_size=\"46606336\"] \n  25 -> 26 [size =\"46606336\"]\n  26 [size=\"145520640\", alpha=\"0.19\", expect_size=\"43656192\"] \n  26 -> 27 [size =\"43656192\"]\n  27 [size=\"126033920\", alpha=\"0.03\", expect_size=\"37810176\"] \n  27 -> 28 [size =\"37810176\"]\n  28 [size=\"129474560\", alpha=\"0.02\", expect_size=\"38842368\"] \n  28 -> 29 [size =\"38842368\"]\n  29 [size=\"140984320\", alpha=\"0.14\", expect_size=\"42295296\"] \n  29 -> 30 [size =\"42295296\"]\n  30 [size=\"83053227\", alpha=\"0.04\", expect_size=\"24915968\"] \n  30 -> 31 [size =\"24915968\"]\n  31 [size=\"94689280\", alpha=\"0.17\", expect_size=\"28406784\"] \n  31 -> 32 [size =\"28406784\"]\n  32 [size=\"69669547\", alpha=\"0.09\", expect_size=\"20900864\"] \n  32 -> 33 [size =\"20900864\"]\n  33 [size=\"121685333\", alpha=\"0.14\", expect_size=\"36505600\"] \n  33 -> 34 [size =\"36505600\"]\n  34 [size=\"82578773\", alpha=\"0.14\", expect_size=\"24773632\"] \n  34 -> 35 [size =\"24773632\"]\n  35 [size=\"105553920\", alpha=\"0.20\", expect_size=\"31666176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52473856\", alpha=\"0.05\", expect_size=\"26236928\"] \n  1 -> 3 [size =\"26236928\"]\n  1 -> 4 [size =\"26236928\"]\n  1 -> 6 [size =\"26236928\"]\n  1 -> 7 [size =\"26236928\"]\n  2 [size=\"66568192\", alpha=\"0.13\", expect_size=\"33284096\"] \n  2 -> 5 [size =\"33284096\"]\n  2 -> 7 [size =\"33284096\"]\n  2 -> 8 [size =\"33284096\"]\n  3 [size=\"85262336\", alpha=\"0.19\", expect_size=\"42631168\"] \n  4 [size=\"77264896\", alpha=\"0.13\", expect_size=\"38632448\"] \n  4 -> 9 [size =\"38632448\"]\n  5 [size=\"28811264\", alpha=\"0.17\", expect_size=\"14405632\"] \n  5 -> 10 [size =\"14405632\"]\n  6 [size=\"100476928\", alpha=\"0.08\", expect_size=\"50238464\"] \n  6 -> 10 [size =\"50238464\"]\n  7 [size=\"88793088\", alpha=\"0.02\", expect_size=\"44396544\"] \n  7 -> 10 [size =\"44396544\"]\n  8 [size=\"23719936\", alpha=\"0.02\", expect_size=\"11859968\"] \n  9 [size=\"90095616\", alpha=\"0.17\", expect_size=\"45047808\"] \n  9 -> 11 [size =\"45047808\"]\n  9 -> 12 [size =\"45047808\"]\n  9 -> 15 [size =\"45047808\"]\n  9 -> 16 [size =\"45047808\"]\n  10 [size=\"24946688\", alpha=\"0.10\", expect_size=\"12473344\"] \n  10 -> 11 [size =\"12473344\"]\n  10 -> 12 [size =\"12473344\"]\n  10 -> 13 [size =\"12473344\"]\n  10 -> 14 [size =\"12473344\"]\n  10 -> 16 [size =\"12473344\"]\n  11 [size=\"23912448\", alpha=\"0.04\", expect_size=\"11956224\"] \n  11 -> 20 [size =\"11956224\"]\n  12 [size=\"45428736\", alpha=\"0.16\", expect_size=\"22714368\"] \n  12 -> 17 [size =\"22714368\"]\n  12 -> 19 [size =\"22714368\"]\n  13 [size=\"12197888\", alpha=\"0.06\", expect_size=\"6098944\"] \n  13 -> 18 [size =\"6098944\"]\n  14 [size=\"101928960\", alpha=\"0.11\", expect_size=\"50964480\"] \n  14 -> 18 [size =\"50964480\"]\n  14 -> 19 [size =\"50964480\"]\n  15 [size=\"70920192\", alpha=\"0.03\", expect_size=\"35460096\"] \n  15 -> 18 [size =\"35460096\"]\n  15 -> 19 [size =\"35460096\"]\n  16 [size=\"55316480\", alpha=\"0.07\", expect_size=\"27658240\"] \n  16 -> 17 [size =\"27658240\"]\n  17 [size=\"91463680\", alpha=\"0.18\", expect_size=\"45731840\"] \n  17 -> 24 [size =\"45731840\"]\n  17 -> 25 [size =\"45731840\"]\n  18 [size=\"99966976\", alpha=\"0.05\", expect_size=\"49983488\"] \n  18 -> 21 [size =\"49983488\"]\n  18 -> 23 [size =\"49983488\"]\n  18 -> 24 [size =\"49983488\"]\n  19 [size=\"17227776\", alpha=\"0.12\", expect_size=\"8613888\"] \n  19 -> 22 [size =\"8613888\"]\n  19 -> 23 [size =\"8613888\"]\n  19 -> 25 [size =\"8613888\"]\n  19 -> 26 [size =\"8613888\"]\n  20 [size=\"98447360\", alpha=\"0.14\", expect_size=\"49223680\"] \n  20 -> 21 [size =\"49223680\"]\n  20 -> 22 [size =\"49223680\"]\n  20 -> 23 [size =\"49223680\"]\n  20 -> 24 [size =\"49223680\"]\n  21 [size=\"50673664\", alpha=\"0.05\", expect_size=\"25336832\"] \n  21 -> 27 [size =\"25336832\"]\n  21 -> 29 [size =\"25336832\"]\n  22 [size=\"71016448\", alpha=\"0.07\", expect_size=\"35508224\"] \n  22 -> 27 [size =\"35508224\"]\n  22 -> 29 [size =\"35508224\"]\n  23 [size=\"50751488\", alpha=\"0.06\", expect_size=\"25375744\"] \n  23 -> 27 [size =\"25375744\"]\n  23 -> 30 [size =\"25375744\"]\n  23 -> 31 [size =\"25375744\"]\n  24 [size=\"77533184\", alpha=\"0.19\", expect_size=\"38766592\"] \n  24 -> 30 [size =\"38766592\"]\n  24 -> 31 [size =\"38766592\"]\n  24 -> 31 [size =\"38766592\"]\n  25 [size=\"33603584\", alpha=\"0.16\", expect_size=\"16801792\"] \n  25 -> 28 [size =\"16801792\"]\n  25 -> 29 [size =\"16801792\"]\n  26 [size=\"47257600\", alpha=\"0.11\", expect_size=\"23628800\"] \n  26 -> 27 [size =\"23628800\"]\n  27 [size=\"80873472\", alpha=\"0.04\", expect_size=\"40436736\"] \n  27 -> 32 [size =\"40436736\"]\n  27 -> 35 [size =\"40436736\"]\n  28 [size=\"72220672\", alpha=\"0.19\", expect_size=\"36110336\"] \n  29 [size=\"95232000\", alpha=\"0.11\", expect_size=\"47616000\"] \n  29 -> 32 [size =\"47616000\"]\n  29 -> 33 [size =\"47616000\"]\n  29 -> 34 [size =\"47616000\"]\n  30 [size=\"56002560\", alpha=\"0.06\", expect_size=\"28001280\"] \n  30 -> 34 [size =\"28001280\"]\n  31 [size=\"26353664\", alpha=\"0.04\", expect_size=\"13176832\"] \n  31 -> 33 [size =\"13176832\"]\n  31 -> 35 [size =\"13176832\"]\n  32 [size=\"48275456\", alpha=\"0.09\", expect_size=\"24137728\"] \n  33 [size=\"83476480\", alpha=\"0.15\", expect_size=\"41738240\"] \n  34 [size=\"17993728\", alpha=\"0.00\", expect_size=\"8996864\"] \n  35 [size=\"12978176\", alpha=\"0.18\", expect_size=\"6489088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74459136\", alpha=\"0.07\", expect_size=\"37229568\"] \n  1 -> 13 [size =\"37229568\"]\n  1 -> 14 [size =\"37229568\"]\n  1 -> 21 [size =\"37229568\"]\n  1 -> 23 [size =\"37229568\"]\n  2 [size=\"65161216\", alpha=\"0.08\", expect_size=\"32580608\"] \n  2 -> 12 [size =\"32580608\"]\n  2 -> 17 [size =\"32580608\"]\n  2 -> 22 [size =\"32580608\"]\n  3 [size=\"33828864\", alpha=\"0.17\", expect_size=\"16914432\"] \n  3 -> 20 [size =\"16914432\"]\n  3 -> 23 [size =\"16914432\"]\n  4 [size=\"34267136\", alpha=\"0.18\", expect_size=\"17133568\"] \n  4 -> 13 [size =\"17133568\"]\n  4 -> 18 [size =\"17133568\"]\n  4 -> 23 [size =\"17133568\"]\n  5 [size=\"40196096\", alpha=\"0.03\", expect_size=\"20098048\"] \n  6 [size=\"104484864\", alpha=\"0.04\", expect_size=\"52242432\"] \n  6 -> 15 [size =\"52242432\"]\n  6 -> 21 [size =\"52242432\"]\n  7 [size=\"80453632\", alpha=\"0.13\", expect_size=\"40226816\"] \n  7 -> 14 [size =\"40226816\"]\n  7 -> 15 [size =\"40226816\"]\n  7 -> 16 [size =\"40226816\"]\n  7 -> 19 [size =\"40226816\"]\n  7 -> 20 [size =\"40226816\"]\n  7 -> 22 [size =\"40226816\"]\n  8 [size=\"42848256\", alpha=\"0.19\", expect_size=\"21424128\"] \n  8 -> 14 [size =\"21424128\"]\n  8 -> 15 [size =\"21424128\"]\n  8 -> 19 [size =\"21424128\"]\n  8 -> 22 [size =\"21424128\"]\n  8 -> 23 [size =\"21424128\"]\n  9 [size=\"83767296\", alpha=\"0.11\", expect_size=\"41883648\"] \n  9 -> 14 [size =\"41883648\"]\n  9 -> 21 [size =\"41883648\"]\n  9 -> 22 [size =\"41883648\"]\n  9 -> 23 [size =\"41883648\"]\n  10 [size=\"12974080\", alpha=\"0.13\", expect_size=\"6487040\"] \n  10 -> 13 [size =\"6487040\"]\n  10 -> 20 [size =\"6487040\"]\n  10 -> 22 [size =\"6487040\"]\n  10 -> 23 [size =\"6487040\"]\n  11 [size=\"48586752\", alpha=\"0.17\", expect_size=\"24293376\"] \n  11 -> 15 [size =\"24293376\"]\n  11 -> 17 [size =\"24293376\"]\n  11 -> 21 [size =\"24293376\"]\n  12 [size=\"82065408\", alpha=\"0.09\", expect_size=\"41032704\"] \n  12 -> 25 [size =\"41032704\"]\n  13 [size=\"24541184\", alpha=\"0.17\", expect_size=\"12270592\"] \n  13 -> 24 [size =\"12270592\"]\n  14 [size=\"12394496\", alpha=\"0.12\", expect_size=\"6197248\"] \n  14 -> 24 [size =\"6197248\"]\n  14 -> 33 [size =\"6197248\"]\n  15 [size=\"98873344\", alpha=\"0.07\", expect_size=\"49436672\"] \n  15 -> 25 [size =\"49436672\"]\n  15 -> 26 [size =\"49436672\"]\n  16 [size=\"17256448\", alpha=\"0.14\", expect_size=\"8628224\"] \n  16 -> 29 [size =\"8628224\"]\n  17 [size=\"37650432\", alpha=\"0.18\", expect_size=\"18825216\"] \n  17 -> 29 [size =\"18825216\"]\n  17 -> 33 [size =\"18825216\"]\n  18 [size=\"100632576\", alpha=\"0.02\", expect_size=\"50316288\"] \n  18 -> 24 [size =\"50316288\"]\n  18 -> 25 [size =\"50316288\"]\n  18 -> 26 [size =\"50316288\"]\n  18 -> 27 [size =\"50316288\"]\n  18 -> 30 [size =\"50316288\"]\n  18 -> 33 [size =\"50316288\"]\n  19 [size=\"94857216\", alpha=\"0.18\", expect_size=\"47428608\"] \n  19 -> 25 [size =\"47428608\"]\n  19 -> 25 [size =\"47428608\"]\n  19 -> 26 [size =\"47428608\"]\n  19 -> 28 [size =\"47428608\"]\n  19 -> 31 [size =\"47428608\"]\n  19 -> 32 [size =\"47428608\"]\n  19 -> 33 [size =\"47428608\"]\n  20 [size=\"53526528\", alpha=\"0.04\", expect_size=\"26763264\"] \n  20 -> 25 [size =\"26763264\"]\n  20 -> 26 [size =\"26763264\"]\n  20 -> 26 [size =\"26763264\"]\n  20 -> 29 [size =\"26763264\"]\n  20 -> 33 [size =\"26763264\"]\n  21 [size=\"22470656\", alpha=\"0.03\", expect_size=\"11235328\"] \n  21 -> 34 [size =\"11235328\"]\n  22 [size=\"104755200\", alpha=\"0.14\", expect_size=\"52377600\"] \n  23 [size=\"50583552\", alpha=\"0.10\", expect_size=\"25291776\"] \n  23 -> 26 [size =\"25291776\"]\n  24 [size=\"35665920\", alpha=\"0.11\", expect_size=\"17832960\"] \n  25 [size=\"93724672\", alpha=\"0.18\", expect_size=\"46862336\"] \n  26 [size=\"32276480\", alpha=\"0.06\", expect_size=\"16138240\"] \n  27 [size=\"96931840\", alpha=\"0.08\", expect_size=\"48465920\"] \n  27 -> 35 [size =\"48465920\"]\n  28 [size=\"85430272\", alpha=\"0.17\", expect_size=\"42715136\"] \n  29 [size=\"97183744\", alpha=\"0.01\", expect_size=\"48591872\"] \n  30 [size=\"86759424\", alpha=\"0.06\", expect_size=\"43379712\"] \n  31 [size=\"104132608\", alpha=\"0.19\", expect_size=\"52066304\"] \n  31 -> 35 [size =\"52066304\"]\n  32 [size=\"24532992\", alpha=\"0.07\", expect_size=\"12266496\"] \n  32 -> 35 [size =\"12266496\"]\n  33 [size=\"91381760\", alpha=\"0.19\", expect_size=\"45690880\"] \n  34 [size=\"44904448\", alpha=\"0.10\", expect_size=\"22452224\"] \n  34 -> 35 [size =\"22452224\"]\n  35 [size=\"97628160\", alpha=\"0.01\", expect_size=\"48814080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38464000\", alpha=\"0.01\", expect_size=\"15385600\"] \n  1 -> 29 [size =\"15385600\"]\n  1 -> 30 [size =\"15385600\"]\n  1 -> 30 [size =\"15385600\"]\n  1 -> 31 [size =\"15385600\"]\n  1 -> 32 [size =\"15385600\"]\n  1 -> 34 [size =\"15385600\"]\n  2 [size=\"30039040\", alpha=\"0.03\", expect_size=\"12015616\"] \n  2 -> 24 [size =\"12015616\"]\n  2 -> 29 [size =\"12015616\"]\n  2 -> 32 [size =\"12015616\"]\n  2 -> 34 [size =\"12015616\"]\n  3 [size=\"32691200\", alpha=\"0.05\", expect_size=\"13076480\"] \n  3 -> 28 [size =\"13076480\"]\n  3 -> 34 [size =\"13076480\"]\n  4 [size=\"100508160\", alpha=\"0.17\", expect_size=\"40203264\"] \n  4 -> 26 [size =\"40203264\"]\n  4 -> 27 [size =\"40203264\"]\n  4 -> 31 [size =\"40203264\"]\n  4 -> 34 [size =\"40203264\"]\n  5 [size=\"102499840\", alpha=\"0.04\", expect_size=\"40999936\"] \n  5 -> 25 [size =\"40999936\"]\n  5 -> 29 [size =\"40999936\"]\n  5 -> 30 [size =\"40999936\"]\n  5 -> 32 [size =\"40999936\"]\n  5 -> 34 [size =\"40999936\"]\n  6 [size=\"44221440\", alpha=\"0.16\", expect_size=\"17688576\"] \n  6 -> 29 [size =\"17688576\"]\n  6 -> 32 [size =\"17688576\"]\n  6 -> 33 [size =\"17688576\"]\n  6 -> 34 [size =\"17688576\"]\n  7 [size=\"129049600\", alpha=\"0.03\", expect_size=\"51619840\"] \n  7 -> 29 [size =\"51619840\"]\n  7 -> 30 [size =\"51619840\"]\n  7 -> 31 [size =\"51619840\"]\n  7 -> 32 [size =\"51619840\"]\n  8 [size=\"123712000\", alpha=\"0.06\", expect_size=\"49484800\"] \n  8 -> 27 [size =\"49484800\"]\n  8 -> 30 [size =\"49484800\"]\n  8 -> 31 [size =\"49484800\"]\n  8 -> 34 [size =\"49484800\"]\n  9 [size=\"33029120\", alpha=\"0.09\", expect_size=\"13211648\"] \n  9 -> 28 [size =\"13211648\"]\n  9 -> 30 [size =\"13211648\"]\n  9 -> 31 [size =\"13211648\"]\n  9 -> 32 [size =\"13211648\"]\n  9 -> 33 [size =\"13211648\"]\n  9 -> 34 [size =\"13211648\"]\n  10 [size=\"118855680\", alpha=\"0.19\", expect_size=\"47542272\"] \n  10 -> 27 [size =\"47542272\"]\n  10 -> 28 [size =\"47542272\"]\n  10 -> 30 [size =\"47542272\"]\n  10 -> 31 [size =\"47542272\"]\n  10 -> 34 [size =\"47542272\"]\n  10 -> 34 [size =\"47542272\"]\n  11 [size=\"42977280\", alpha=\"0.19\", expect_size=\"17190912\"] \n  11 -> 29 [size =\"17190912\"]\n  11 -> 30 [size =\"17190912\"]\n  11 -> 31 [size =\"17190912\"]\n  11 -> 32 [size =\"17190912\"]\n  12 [size=\"48563200\", alpha=\"0.11\", expect_size=\"19425280\"] \n  12 -> 26 [size =\"19425280\"]\n  12 -> 29 [size =\"19425280\"]\n  12 -> 30 [size =\"19425280\"]\n  12 -> 32 [size =\"19425280\"]\n  13 [size=\"68769280\", alpha=\"0.12\", expect_size=\"27507712\"] \n  13 -> 28 [size =\"27507712\"]\n  13 -> 29 [size =\"27507712\"]\n  13 -> 32 [size =\"27507712\"]\n  13 -> 34 [size =\"27507712\"]\n  14 [size=\"100464640\", alpha=\"0.16\", expect_size=\"40185856\"] \n  14 -> 25 [size =\"40185856\"]\n  14 -> 27 [size =\"40185856\"]\n  14 -> 28 [size =\"40185856\"]\n  14 -> 29 [size =\"40185856\"]\n  14 -> 30 [size =\"40185856\"]\n  14 -> 34 [size =\"40185856\"]\n  15 [size=\"83791360\", alpha=\"0.02\", expect_size=\"33516544\"] \n  15 -> 25 [size =\"33516544\"]\n  15 -> 26 [size =\"33516544\"]\n  15 -> 29 [size =\"33516544\"]\n  15 -> 29 [size =\"33516544\"]\n  15 -> 31 [size =\"33516544\"]\n  16 [size=\"105262080\", alpha=\"0.03\", expect_size=\"42104832\"] \n  16 -> 25 [size =\"42104832\"]\n  16 -> 26 [size =\"42104832\"]\n  16 -> 27 [size =\"42104832\"]\n  16 -> 28 [size =\"42104832\"]\n  16 -> 29 [size =\"42104832\"]\n  16 -> 34 [size =\"42104832\"]\n  17 [size=\"84592640\", alpha=\"0.10\", expect_size=\"33837056\"] \n  17 -> 25 [size =\"33837056\"]\n  17 -> 27 [size =\"33837056\"]\n  17 -> 29 [size =\"33837056\"]\n  17 -> 32 [size =\"33837056\"]\n  17 -> 34 [size =\"33837056\"]\n  18 [size=\"102684160\", alpha=\"0.12\", expect_size=\"41073664\"] \n  18 -> 25 [size =\"41073664\"]\n  18 -> 29 [size =\"41073664\"]\n  18 -> 29 [size =\"41073664\"]\n  18 -> 30 [size =\"41073664\"]\n  18 -> 32 [size =\"41073664\"]\n  18 -> 34 [size =\"41073664\"]\n  18 -> 35 [size =\"41073664\"]\n  19 [size=\"21217280\", alpha=\"0.09\", expect_size=\"8486912\"] \n  19 -> 25 [size =\"8486912\"]\n  19 -> 26 [size =\"8486912\"]\n  19 -> 29 [size =\"8486912\"]\n  19 -> 31 [size =\"8486912\"]\n  19 -> 34 [size =\"8486912\"]\n  19 -> 35 [size =\"8486912\"]\n  20 [size=\"76807680\", alpha=\"0.15\", expect_size=\"30723072\"] \n  20 -> 25 [size =\"30723072\"]\n  20 -> 26 [size =\"30723072\"]\n  20 -> 27 [size =\"30723072\"]\n  20 -> 29 [size =\"30723072\"]\n  20 -> 31 [size =\"30723072\"]\n  20 -> 33 [size =\"30723072\"]\n  20 -> 34 [size =\"30723072\"]\n  21 [size=\"69724160\", alpha=\"0.05\", expect_size=\"27889664\"] \n  21 -> 25 [size =\"27889664\"]\n  21 -> 27 [size =\"27889664\"]\n  21 -> 29 [size =\"27889664\"]\n  21 -> 34 [size =\"27889664\"]\n  22 [size=\"64995840\", alpha=\"0.19\", expect_size=\"25998336\"] \n  22 -> 25 [size =\"25998336\"]\n  22 -> 29 [size =\"25998336\"]\n  22 -> 30 [size =\"25998336\"]\n  22 -> 31 [size =\"25998336\"]\n  22 -> 33 [size =\"25998336\"]\n  22 -> 34 [size =\"25998336\"]\n  23 [size=\"128645120\", alpha=\"0.15\", expect_size=\"51458048\"] \n  23 -> 27 [size =\"51458048\"]\n  23 -> 29 [size =\"51458048\"]\n  23 -> 30 [size =\"51458048\"]\n  23 -> 31 [size =\"51458048\"]\n  23 -> 34 [size =\"51458048\"]\n  24 [size=\"81763840\", alpha=\"0.06\", expect_size=\"32705536\"] \n  25 [size=\"55841280\", alpha=\"0.13\", expect_size=\"22336512\"] \n  26 [size=\"70013440\", alpha=\"0.05\", expect_size=\"28005376\"] \n  27 [size=\"87319040\", alpha=\"0.16\", expect_size=\"34927616\"] \n  28 [size=\"25610240\", alpha=\"0.06\", expect_size=\"10244096\"] \n  29 [size=\"97548800\", alpha=\"0.20\", expect_size=\"39019520\"] \n  30 [size=\"32289280\", alpha=\"0.11\", expect_size=\"12915712\"] \n  31 [size=\"120632320\", alpha=\"0.08\", expect_size=\"48252928\"] \n  32 [size=\"34037760\", alpha=\"0.11\", expect_size=\"13615104\"] \n  33 [size=\"25372160\", alpha=\"0.03\", expect_size=\"10148864\"] \n  34 [size=\"114219520\", alpha=\"0.09\", expect_size=\"45687808\"] \n  35 [size=\"34086400\", alpha=\"0.08\", expect_size=\"13634560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85565440\", alpha=\"0.18\", expect_size=\"42782720\"] \n  1 -> 28 [size =\"42782720\"]\n  1 -> 31 [size =\"42782720\"]\n  1 -> 34 [size =\"42782720\"]\n  1 -> 35 [size =\"42782720\"]\n  2 [size=\"56137728\", alpha=\"0.19\", expect_size=\"28068864\"] \n  2 -> 28 [size =\"28068864\"]\n  2 -> 31 [size =\"28068864\"]\n  2 -> 32 [size =\"28068864\"]\n  2 -> 35 [size =\"28068864\"]\n  3 [size=\"81246208\", alpha=\"0.19\", expect_size=\"40623104\"] \n  3 -> 25 [size =\"40623104\"]\n  3 -> 28 [size =\"40623104\"]\n  3 -> 35 [size =\"40623104\"]\n  4 [size=\"34271232\", alpha=\"0.19\", expect_size=\"17135616\"] \n  4 -> 25 [size =\"17135616\"]\n  4 -> 29 [size =\"17135616\"]\n  4 -> 34 [size =\"17135616\"]\n  5 [size=\"68040704\", alpha=\"0.18\", expect_size=\"34020352\"] \n  5 -> 33 [size =\"34020352\"]\n  5 -> 34 [size =\"34020352\"]\n  6 [size=\"103438336\", alpha=\"0.07\", expect_size=\"51719168\"] \n  6 -> 27 [size =\"51719168\"]\n  6 -> 34 [size =\"51719168\"]\n  7 [size=\"57653248\", alpha=\"0.15\", expect_size=\"28826624\"] \n  7 -> 29 [size =\"28826624\"]\n  7 -> 32 [size =\"28826624\"]\n  7 -> 34 [size =\"28826624\"]\n  8 [size=\"98949120\", alpha=\"0.18\", expect_size=\"49474560\"] \n  8 -> 30 [size =\"49474560\"]\n  9 [size=\"26730496\", alpha=\"0.14\", expect_size=\"13365248\"] \n  9 -> 31 [size =\"13365248\"]\n  9 -> 35 [size =\"13365248\"]\n  10 [size=\"69435392\", alpha=\"0.08\", expect_size=\"34717696\"] \n  10 -> 27 [size =\"34717696\"]\n  10 -> 32 [size =\"34717696\"]\n  11 [size=\"77979648\", alpha=\"0.14\", expect_size=\"38989824\"] \n  11 -> 27 [size =\"38989824\"]\n  11 -> 28 [size =\"38989824\"]\n  11 -> 29 [size =\"38989824\"]\n  11 -> 34 [size =\"38989824\"]\n  12 [size=\"69038080\", alpha=\"0.13\", expect_size=\"34519040\"] \n  12 -> 31 [size =\"34519040\"]\n  12 -> 32 [size =\"34519040\"]\n  12 -> 34 [size =\"34519040\"]\n  13 [size=\"63002624\", alpha=\"0.09\", expect_size=\"31501312\"] \n  13 -> 35 [size =\"31501312\"]\n  14 [size=\"59705344\", alpha=\"0.03\", expect_size=\"29852672\"] \n  14 -> 31 [size =\"29852672\"]\n  14 -> 34 [size =\"29852672\"]\n  14 -> 35 [size =\"29852672\"]\n  15 [size=\"54740992\", alpha=\"0.18\", expect_size=\"27370496\"] \n  15 -> 27 [size =\"27370496\"]\n  15 -> 28 [size =\"27370496\"]\n  15 -> 34 [size =\"27370496\"]\n  15 -> 35 [size =\"27370496\"]\n  16 [size=\"44873728\", alpha=\"0.08\", expect_size=\"22436864\"] \n  16 -> 32 [size =\"22436864\"]\n  16 -> 33 [size =\"22436864\"]\n  16 -> 34 [size =\"22436864\"]\n  17 [size=\"78383104\", alpha=\"0.07\", expect_size=\"39191552\"] \n  17 -> 27 [size =\"39191552\"]\n  17 -> 31 [size =\"39191552\"]\n  17 -> 34 [size =\"39191552\"]\n  17 -> 35 [size =\"39191552\"]\n  18 [size=\"52631552\", alpha=\"0.20\", expect_size=\"26315776\"] \n  18 -> 30 [size =\"26315776\"]\n  18 -> 31 [size =\"26315776\"]\n  18 -> 33 [size =\"26315776\"]\n  19 [size=\"40933376\", alpha=\"0.14\", expect_size=\"20466688\"] \n  19 -> 25 [size =\"20466688\"]\n  19 -> 26 [size =\"20466688\"]\n  19 -> 27 [size =\"20466688\"]\n  19 -> 31 [size =\"20466688\"]\n  20 [size=\"14546944\", alpha=\"0.02\", expect_size=\"7273472\"] \n  20 -> 29 [size =\"7273472\"]\n  20 -> 32 [size =\"7273472\"]\n  20 -> 33 [size =\"7273472\"]\n  21 [size=\"51384320\", alpha=\"0.05\", expect_size=\"25692160\"] \n  21 -> 25 [size =\"25692160\"]\n  21 -> 31 [size =\"25692160\"]\n  21 -> 33 [size =\"25692160\"]\n  22 [size=\"20803584\", alpha=\"0.18\", expect_size=\"10401792\"] \n  22 -> 25 [size =\"10401792\"]\n  22 -> 28 [size =\"10401792\"]\n  22 -> 31 [size =\"10401792\"]\n  22 -> 35 [size =\"10401792\"]\n  23 [size=\"81301504\", alpha=\"0.06\", expect_size=\"40650752\"] \n  23 -> 25 [size =\"40650752\"]\n  23 -> 28 [size =\"40650752\"]\n  23 -> 30 [size =\"40650752\"]\n  23 -> 34 [size =\"40650752\"]\n  24 [size=\"29003776\", alpha=\"0.19\", expect_size=\"14501888\"] \n  24 -> 25 [size =\"14501888\"]\n  24 -> 27 [size =\"14501888\"]\n  24 -> 28 [size =\"14501888\"]\n  24 -> 31 [size =\"14501888\"]\n  25 [size=\"45066240\", alpha=\"0.04\", expect_size=\"22533120\"] \n  26 [size=\"35510272\", alpha=\"0.09\", expect_size=\"17755136\"] \n  27 [size=\"75059200\", alpha=\"0.04\", expect_size=\"37529600\"] \n  28 [size=\"13391872\", alpha=\"0.17\", expect_size=\"6695936\"] \n  29 [size=\"12888064\", alpha=\"0.14\", expect_size=\"6444032\"] \n  30 [size=\"80652288\", alpha=\"0.04\", expect_size=\"40326144\"] \n  31 [size=\"88682496\", alpha=\"0.08\", expect_size=\"44341248\"] \n  32 [size=\"17686528\", alpha=\"0.04\", expect_size=\"8843264\"] \n  33 [size=\"102062080\", alpha=\"0.11\", expect_size=\"51031040\"] \n  34 [size=\"35084288\", alpha=\"0.09\", expect_size=\"17542144\"] \n  35 [size=\"29280256\", alpha=\"0.16\", expect_size=\"14640128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39164587\", alpha=\"0.06\", expect_size=\"11749376\"] \n  1 -> 2 [size =\"11749376\"]\n  2 [size=\"159235413\", alpha=\"0.01\", expect_size=\"47770624\"] \n  2 -> 3 [size =\"47770624\"]\n  3 [size=\"126180693\", alpha=\"0.00\", expect_size=\"37854208\"] \n  3 -> 4 [size =\"37854208\"]\n  4 [size=\"120603307\", alpha=\"0.16\", expect_size=\"36180992\"] \n  4 -> 5 [size =\"36180992\"]\n  5 [size=\"128098987\", alpha=\"0.14\", expect_size=\"38429696\"] \n  5 -> 6 [size =\"38429696\"]\n  6 [size=\"73209173\", alpha=\"0.13\", expect_size=\"21962752\"] \n  6 -> 7 [size =\"21962752\"]\n  7 [size=\"161546240\", alpha=\"0.05\", expect_size=\"48463872\"] \n  7 -> 8 [size =\"48463872\"]\n  8 [size=\"46844587\", alpha=\"0.09\", expect_size=\"14053376\"] \n  8 -> 9 [size =\"14053376\"]\n  9 [size=\"71874560\", alpha=\"0.00\", expect_size=\"21562368\"] \n  9 -> 10 [size =\"21562368\"]\n  10 [size=\"126081707\", alpha=\"0.17\", expect_size=\"37824512\"] \n  10 -> 11 [size =\"37824512\"]\n  11 [size=\"48216747\", alpha=\"0.16\", expect_size=\"14465024\"] \n  11 -> 12 [size =\"14465024\"]\n  12 [size=\"96477867\", alpha=\"0.11\", expect_size=\"28943360\"] \n  12 -> 13 [size =\"28943360\"]\n  13 [size=\"102710613\", alpha=\"0.07\", expect_size=\"30813184\"] \n  13 -> 14 [size =\"30813184\"]\n  14 [size=\"105946453\", alpha=\"0.18\", expect_size=\"31783936\"] \n  14 -> 15 [size =\"31783936\"]\n  15 [size=\"71471787\", alpha=\"0.05\", expect_size=\"21441536\"] \n  15 -> 16 [size =\"21441536\"]\n  16 [size=\"23582720\", alpha=\"0.04\", expect_size=\"7074816\"] \n  16 -> 17 [size =\"7074816\"]\n  17 [size=\"123729920\", alpha=\"0.08\", expect_size=\"37118976\"] \n  17 -> 18 [size =\"37118976\"]\n  18 [size=\"160300373\", alpha=\"0.03\", expect_size=\"48090112\"] \n  18 -> 19 [size =\"48090112\"]\n  19 [size=\"76229973\", alpha=\"0.09\", expect_size=\"22868992\"] \n  19 -> 20 [size =\"22868992\"]\n  20 [size=\"77233493\", alpha=\"0.10\", expect_size=\"23170048\"] \n  20 -> 21 [size =\"23170048\"]\n  21 [size=\"56736427\", alpha=\"0.13\", expect_size=\"17020928\"] \n  21 -> 22 [size =\"17020928\"]\n  22 [size=\"28562773\", alpha=\"0.14\", expect_size=\"8568832\"] \n  22 -> 23 [size =\"8568832\"]\n  23 [size=\"115452587\", alpha=\"0.09\", expect_size=\"34635776\"] \n  23 -> 24 [size =\"34635776\"]\n  24 [size=\"170949973\", alpha=\"0.17\", expect_size=\"51284992\"] \n  24 -> 25 [size =\"51284992\"]\n  25 [size=\"155112107\", alpha=\"0.20\", expect_size=\"46533632\"] \n  25 -> 26 [size =\"46533632\"]\n  26 [size=\"36218880\", alpha=\"0.09\", expect_size=\"10865664\"] \n  26 -> 27 [size =\"10865664\"]\n  27 [size=\"71413760\", alpha=\"0.17\", expect_size=\"21424128\"] \n  27 -> 28 [size =\"21424128\"]\n  28 [size=\"133048320\", alpha=\"0.08\", expect_size=\"39914496\"] \n  28 -> 29 [size =\"39914496\"]\n  29 [size=\"157969067\", alpha=\"0.06\", expect_size=\"47390720\"] \n  29 -> 30 [size =\"47390720\"]\n  30 [size=\"73175040\", alpha=\"0.18\", expect_size=\"21952512\"] \n  30 -> 31 [size =\"21952512\"]\n  31 [size=\"149278720\", alpha=\"0.14\", expect_size=\"44783616\"] \n  31 -> 32 [size =\"44783616\"]\n  32 [size=\"93399040\", alpha=\"0.01\", expect_size=\"28019712\"] \n  32 -> 33 [size =\"28019712\"]\n  33 [size=\"47298560\", alpha=\"0.17\", expect_size=\"14189568\"] \n  33 -> 34 [size =\"14189568\"]\n  34 [size=\"119681707\", alpha=\"0.06\", expect_size=\"35904512\"] \n  34 -> 35 [size =\"35904512\"]\n  35 [size=\"99106133\", alpha=\"0.01\", expect_size=\"29731840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63111680\", alpha=\"0.15\", expect_size=\"25244672\"] \n  1 -> 2 [size =\"25244672\"]\n  1 -> 3 [size =\"25244672\"]\n  2 [size=\"73292800\", alpha=\"0.07\", expect_size=\"29317120\"] \n  2 -> 4 [size =\"29317120\"]\n  3 [size=\"90316800\", alpha=\"0.15\", expect_size=\"36126720\"] \n  3 -> 5 [size =\"36126720\"]\n  4 [size=\"32460800\", alpha=\"0.01\", expect_size=\"12984320\"] \n  4 -> 6 [size =\"12984320\"]\n  5 [size=\"124938240\", alpha=\"0.01\", expect_size=\"49975296\"] \n  5 -> 6 [size =\"49975296\"]\n  6 [size=\"48476160\", alpha=\"0.09\", expect_size=\"19390464\"] \n  6 -> 7 [size =\"19390464\"]\n  6 -> 8 [size =\"19390464\"]\n  7 [size=\"25702400\", alpha=\"0.05\", expect_size=\"10280960\"] \n  7 -> 9 [size =\"10280960\"]\n  8 [size=\"33492480\", alpha=\"0.18\", expect_size=\"13396992\"] \n  9 [size=\"81692160\", alpha=\"0.14\", expect_size=\"32676864\"] \n  9 -> 10 [size =\"32676864\"]\n  10 [size=\"19420160\", alpha=\"0.05\", expect_size=\"7768064\"] \n  10 -> 11 [size =\"7768064\"]\n  11 [size=\"15216640\", alpha=\"0.06\", expect_size=\"6086656\"] \n  11 -> 12 [size =\"6086656\"]\n  11 -> 13 [size =\"6086656\"]\n  12 [size=\"100858880\", alpha=\"0.09\", expect_size=\"40343552\"] \n  13 [size=\"23029760\", alpha=\"0.14\", expect_size=\"9211904\"] \n  13 -> 14 [size =\"9211904\"]\n  14 [size=\"110522880\", alpha=\"0.18\", expect_size=\"44209152\"] \n  14 -> 15 [size =\"44209152\"]\n  14 -> 16 [size =\"44209152\"]\n  15 [size=\"115379200\", alpha=\"0.02\", expect_size=\"46151680\"] \n  15 -> 17 [size =\"46151680\"]\n  16 [size=\"122900480\", alpha=\"0.04\", expect_size=\"49160192\"] \n  17 [size=\"59688960\", alpha=\"0.14\", expect_size=\"23875584\"] \n  17 -> 18 [size =\"23875584\"]\n  17 -> 19 [size =\"23875584\"]\n  18 [size=\"88650240\", alpha=\"0.18\", expect_size=\"35460096\"] \n  19 [size=\"79475200\", alpha=\"0.19\", expect_size=\"31790080\"] \n  19 -> 20 [size =\"31790080\"]\n  20 [size=\"46425600\", alpha=\"0.06\", expect_size=\"18570240\"] \n  20 -> 21 [size =\"18570240\"]\n  20 -> 22 [size =\"18570240\"]\n  21 [size=\"77703680\", alpha=\"0.00\", expect_size=\"31081472\"] \n  21 -> 23 [size =\"31081472\"]\n  22 [size=\"114816000\", alpha=\"0.05\", expect_size=\"45926400\"] \n  22 -> 24 [size =\"45926400\"]\n  23 [size=\"47774720\", alpha=\"0.03\", expect_size=\"19109888\"] \n  23 -> 25 [size =\"19109888\"]\n  24 [size=\"129876480\", alpha=\"0.05\", expect_size=\"51950592\"] \n  24 -> 25 [size =\"51950592\"]\n  25 [size=\"116408320\", alpha=\"0.05\", expect_size=\"46563328\"] \n  25 -> 26 [size =\"46563328\"]\n  25 -> 27 [size =\"46563328\"]\n  26 [size=\"128509440\", alpha=\"0.11\", expect_size=\"51403776\"] \n  26 -> 28 [size =\"51403776\"]\n  26 -> 29 [size =\"51403776\"]\n  27 [size=\"35036160\", alpha=\"0.20\", expect_size=\"14014464\"] \n  27 -> 29 [size =\"14014464\"]\n  28 [size=\"117803520\", alpha=\"0.12\", expect_size=\"47121408\"] \n  28 -> 30 [size =\"47121408\"]\n  29 [size=\"108433920\", alpha=\"0.15\", expect_size=\"43373568\"] \n  30 [size=\"103882240\", alpha=\"0.20\", expect_size=\"41552896\"] \n  30 -> 31 [size =\"41552896\"]\n  31 [size=\"18472960\", alpha=\"0.05\", expect_size=\"7389184\"] \n  31 -> 32 [size =\"7389184\"]\n  31 -> 33 [size =\"7389184\"]\n  32 [size=\"20175360\", alpha=\"0.05\", expect_size=\"8070144\"] \n  32 -> 34 [size =\"8070144\"]\n  32 -> 35 [size =\"8070144\"]\n  33 [size=\"51210240\", alpha=\"0.06\", expect_size=\"20484096\"] \n  34 [size=\"70824960\", alpha=\"0.04\", expect_size=\"28329984\"] \n  35 [size=\"98375680\", alpha=\"0.19\", expect_size=\"39350272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130734080\", alpha=\"0.06\", expect_size=\"52293632\"] \n  1 -> 6 [size =\"52293632\"]\n  2 [size=\"96888320\", alpha=\"0.03\", expect_size=\"38755328\"] \n  3 [size=\"37299200\", alpha=\"0.15\", expect_size=\"14919680\"] \n  3 -> 7 [size =\"14919680\"]\n  3 -> 8 [size =\"14919680\"]\n  3 -> 9 [size =\"14919680\"]\n  4 [size=\"54008320\", alpha=\"0.06\", expect_size=\"21603328\"] \n  4 -> 6 [size =\"21603328\"]\n  4 -> 7 [size =\"21603328\"]\n  4 -> 9 [size =\"21603328\"]\n  5 [size=\"120926720\", alpha=\"0.07\", expect_size=\"48370688\"] \n  5 -> 6 [size =\"48370688\"]\n  5 -> 9 [size =\"48370688\"]\n  6 [size=\"91064320\", alpha=\"0.04\", expect_size=\"36425728\"] \n  6 -> 10 [size =\"36425728\"]\n  7 [size=\"122037760\", alpha=\"0.00\", expect_size=\"48815104\"] \n  7 -> 11 [size =\"48815104\"]\n  8 [size=\"104491520\", alpha=\"0.13\", expect_size=\"41796608\"] \n  8 -> 10 [size =\"41796608\"]\n  8 -> 12 [size =\"41796608\"]\n  8 -> 13 [size =\"41796608\"]\n  9 [size=\"25963520\", alpha=\"0.02\", expect_size=\"10385408\"] \n  9 -> 13 [size =\"10385408\"]\n  10 [size=\"43704320\", alpha=\"0.16\", expect_size=\"17481728\"] \n  10 -> 15 [size =\"17481728\"]\n  10 -> 17 [size =\"17481728\"]\n  11 [size=\"95605760\", alpha=\"0.08\", expect_size=\"38242304\"] \n  12 [size=\"15828480\", alpha=\"0.09\", expect_size=\"6331392\"] \n  12 -> 14 [size =\"6331392\"]\n  12 -> 15 [size =\"6331392\"]\n  12 -> 16 [size =\"6331392\"]\n  13 [size=\"35540480\", alpha=\"0.01\", expect_size=\"14216192\"] \n  13 -> 15 [size =\"14216192\"]\n  14 [size=\"126254080\", alpha=\"0.05\", expect_size=\"50501632\"] \n  14 -> 19 [size =\"50501632\"]\n  14 -> 21 [size =\"50501632\"]\n  15 [size=\"42800640\", alpha=\"0.08\", expect_size=\"17120256\"] \n  15 -> 19 [size =\"17120256\"]\n  16 [size=\"86008320\", alpha=\"0.08\", expect_size=\"34403328\"] \n  16 -> 18 [size =\"34403328\"]\n  16 -> 20 [size =\"34403328\"]\n  17 [size=\"107281920\", alpha=\"0.08\", expect_size=\"42912768\"] \n  17 -> 21 [size =\"42912768\"]\n  18 [size=\"109683200\", alpha=\"0.18\", expect_size=\"43873280\"] \n  18 -> 22 [size =\"43873280\"]\n  18 -> 25 [size =\"43873280\"]\n  19 [size=\"66944000\", alpha=\"0.08\", expect_size=\"26777600\"] \n  19 -> 23 [size =\"26777600\"]\n  20 [size=\"75952640\", alpha=\"0.18\", expect_size=\"30381056\"] \n  20 -> 24 [size =\"30381056\"]\n  21 [size=\"54691840\", alpha=\"0.08\", expect_size=\"21876736\"] \n  21 -> 22 [size =\"21876736\"]\n  21 -> 26 [size =\"21876736\"]\n  22 [size=\"100462080\", alpha=\"0.12\", expect_size=\"40184832\"] \n  22 -> 29 [size =\"40184832\"]\n  22 -> 30 [size =\"40184832\"]\n  23 [size=\"37959680\", alpha=\"0.20\", expect_size=\"15183872\"] \n  24 [size=\"45501440\", alpha=\"0.15\", expect_size=\"18200576\"] \n  24 -> 28 [size =\"18200576\"]\n  24 -> 30 [size =\"18200576\"]\n  24 -> 31 [size =\"18200576\"]\n  25 [size=\"74452480\", alpha=\"0.08\", expect_size=\"29780992\"] \n  25 -> 30 [size =\"29780992\"]\n  25 -> 31 [size =\"29780992\"]\n  26 [size=\"121169920\", alpha=\"0.14\", expect_size=\"48467968\"] \n  26 -> 27 [size =\"48467968\"]\n  26 -> 29 [size =\"48467968\"]\n  26 -> 31 [size =\"48467968\"]\n  27 [size=\"50498560\", alpha=\"0.19\", expect_size=\"20199424\"] \n  27 -> 32 [size =\"20199424\"]\n  27 -> 34 [size =\"20199424\"]\n  27 -> 35 [size =\"20199424\"]\n  28 [size=\"98193920\", alpha=\"0.19\", expect_size=\"39277568\"] \n  28 -> 33 [size =\"39277568\"]\n  28 -> 34 [size =\"39277568\"]\n  29 [size=\"85795840\", alpha=\"0.02\", expect_size=\"34318336\"] \n  29 -> 33 [size =\"34318336\"]\n  30 [size=\"16775680\", alpha=\"0.10\", expect_size=\"6710272\"] \n  30 -> 32 [size =\"6710272\"]\n  30 -> 33 [size =\"6710272\"]\n  31 [size=\"123153920\", alpha=\"0.11\", expect_size=\"49261568\"] \n  31 -> 32 [size =\"49261568\"]\n  32 [size=\"50695680\", alpha=\"0.14\", expect_size=\"20278272\"] \n  33 [size=\"119116800\", alpha=\"0.20\", expect_size=\"47646720\"] \n  34 [size=\"116679680\", alpha=\"0.05\", expect_size=\"46671872\"] \n  35 [size=\"84288000\", alpha=\"0.15\", expect_size=\"33715200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22822912\", alpha=\"0.18\", expect_size=\"11411456\"] \n  1 -> 2 [size =\"11411456\"]\n  2 [size=\"76118016\", alpha=\"0.04\", expect_size=\"38059008\"] \n  2 -> 3 [size =\"38059008\"]\n  2 -> 4 [size =\"38059008\"]\n  3 [size=\"13084672\", alpha=\"0.17\", expect_size=\"6542336\"] \n  3 -> 5 [size =\"6542336\"]\n  4 [size=\"20307968\", alpha=\"0.05\", expect_size=\"10153984\"] \n  4 -> 5 [size =\"10153984\"]\n  5 [size=\"16791552\", alpha=\"0.07\", expect_size=\"8395776\"] \n  5 -> 6 [size =\"8395776\"]\n  6 [size=\"86112256\", alpha=\"0.08\", expect_size=\"43056128\"] \n  6 -> 7 [size =\"43056128\"]\n  7 [size=\"74915840\", alpha=\"0.12\", expect_size=\"37457920\"] \n  7 -> 8 [size =\"37457920\"]\n  7 -> 9 [size =\"37457920\"]\n  8 [size=\"28598272\", alpha=\"0.09\", expect_size=\"14299136\"] \n  8 -> 10 [size =\"14299136\"]\n  9 [size=\"81801216\", alpha=\"0.10\", expect_size=\"40900608\"] \n  9 -> 10 [size =\"40900608\"]\n  10 [size=\"11450368\", alpha=\"0.18\", expect_size=\"5725184\"] \n  10 -> 11 [size =\"5725184\"]\n  11 [size=\"101963776\", alpha=\"0.05\", expect_size=\"50981888\"] \n  11 -> 12 [size =\"50981888\"]\n  11 -> 13 [size =\"50981888\"]\n  12 [size=\"91490304\", alpha=\"0.13\", expect_size=\"45745152\"] \n  12 -> 14 [size =\"45745152\"]\n  12 -> 15 [size =\"45745152\"]\n  13 [size=\"17569792\", alpha=\"0.04\", expect_size=\"8784896\"] \n  13 -> 14 [size =\"8784896\"]\n  13 -> 15 [size =\"8784896\"]\n  14 [size=\"97863680\", alpha=\"0.16\", expect_size=\"48931840\"] \n  14 -> 16 [size =\"48931840\"]\n  15 [size=\"27897856\", alpha=\"0.08\", expect_size=\"13948928\"] \n  15 -> 16 [size =\"13948928\"]\n  16 [size=\"62433280\", alpha=\"0.17\", expect_size=\"31216640\"] \n  16 -> 17 [size =\"31216640\"]\n  16 -> 18 [size =\"31216640\"]\n  17 [size=\"100089856\", alpha=\"0.01\", expect_size=\"50044928\"] \n  17 -> 19 [size =\"50044928\"]\n  17 -> 20 [size =\"50044928\"]\n  18 [size=\"61036544\", alpha=\"0.07\", expect_size=\"30518272\"] \n  18 -> 19 [size =\"30518272\"]\n  18 -> 20 [size =\"30518272\"]\n  19 [size=\"104448000\", alpha=\"0.16\", expect_size=\"52224000\"] \n  19 -> 21 [size =\"52224000\"]\n  20 [size=\"58853376\", alpha=\"0.01\", expect_size=\"29426688\"] \n  20 -> 21 [size =\"29426688\"]\n  21 [size=\"51070976\", alpha=\"0.08\", expect_size=\"25535488\"] \n  21 -> 22 [size =\"25535488\"]\n  21 -> 23 [size =\"25535488\"]\n  22 [size=\"75352064\", alpha=\"0.08\", expect_size=\"37676032\"] \n  22 -> 24 [size =\"37676032\"]\n  23 [size=\"42835968\", alpha=\"0.10\", expect_size=\"21417984\"] \n  23 -> 24 [size =\"21417984\"]\n  24 [size=\"62904320\", alpha=\"0.13\", expect_size=\"31452160\"] \n  24 -> 25 [size =\"31452160\"]\n  24 -> 26 [size =\"31452160\"]\n  25 [size=\"42758144\", alpha=\"0.18\", expect_size=\"21379072\"] \n  25 -> 27 [size =\"21379072\"]\n  26 [size=\"79390720\", alpha=\"0.18\", expect_size=\"39695360\"] \n  26 -> 27 [size =\"39695360\"]\n  26 -> 28 [size =\"39695360\"]\n  27 [size=\"63309824\", alpha=\"0.13\", expect_size=\"31654912\"] \n  28 [size=\"66899968\", alpha=\"0.11\", expect_size=\"33449984\"] \n  28 -> 29 [size =\"33449984\"]\n  29 [size=\"102209536\", alpha=\"0.05\", expect_size=\"51104768\"] \n  29 -> 30 [size =\"51104768\"]\n  30 [size=\"85315584\", alpha=\"0.18\", expect_size=\"42657792\"] \n  30 -> 31 [size =\"42657792\"]\n  31 [size=\"88424448\", alpha=\"0.11\", expect_size=\"44212224\"] \n  31 -> 32 [size =\"44212224\"]\n  31 -> 33 [size =\"44212224\"]\n  32 [size=\"29501440\", alpha=\"0.01\", expect_size=\"14750720\"] \n  32 -> 34 [size =\"14750720\"]\n  33 [size=\"68552704\", alpha=\"0.13\", expect_size=\"34276352\"] \n  33 -> 34 [size =\"34276352\"]\n  34 [size=\"19433472\", alpha=\"0.03\", expect_size=\"9716736\"] \n  34 -> 35 [size =\"9716736\"]\n  35 [size=\"80711680\", alpha=\"0.17\", expect_size=\"40355840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118691840\", alpha=\"0.17\", expect_size=\"47476736\"] \n  1 -> 2 [size =\"47476736\"]\n  2 [size=\"73602560\", alpha=\"0.15\", expect_size=\"29441024\"] \n  2 -> 3 [size =\"29441024\"]\n  3 [size=\"56939520\", alpha=\"0.19\", expect_size=\"22775808\"] \n  3 -> 4 [size =\"22775808\"]\n  4 [size=\"100672000\", alpha=\"0.07\", expect_size=\"40268800\"] \n  4 -> 5 [size =\"40268800\"]\n  5 [size=\"40657920\", alpha=\"0.06\", expect_size=\"16263168\"] \n  5 -> 6 [size =\"16263168\"]\n  6 [size=\"91970560\", alpha=\"0.03\", expect_size=\"36788224\"] \n  6 -> 7 [size =\"36788224\"]\n  7 [size=\"112222720\", alpha=\"0.02\", expect_size=\"44889088\"] \n  7 -> 8 [size =\"44889088\"]\n  8 [size=\"63938560\", alpha=\"0.08\", expect_size=\"25575424\"] \n  8 -> 9 [size =\"25575424\"]\n  9 [size=\"109050880\", alpha=\"0.17\", expect_size=\"43620352\"] \n  9 -> 10 [size =\"43620352\"]\n  10 [size=\"42022400\", alpha=\"0.00\", expect_size=\"16808960\"] \n  10 -> 11 [size =\"16808960\"]\n  11 [size=\"118615040\", alpha=\"0.01\", expect_size=\"47446016\"] \n  11 -> 12 [size =\"47446016\"]\n  12 [size=\"99143680\", alpha=\"0.16\", expect_size=\"39657472\"] \n  12 -> 13 [size =\"39657472\"]\n  13 [size=\"68454400\", alpha=\"0.19\", expect_size=\"27381760\"] \n  13 -> 14 [size =\"27381760\"]\n  14 [size=\"59614720\", alpha=\"0.14\", expect_size=\"23845888\"] \n  14 -> 15 [size =\"23845888\"]\n  15 [size=\"101491200\", alpha=\"0.08\", expect_size=\"40596480\"] \n  15 -> 16 [size =\"40596480\"]\n  16 [size=\"19732480\", alpha=\"0.16\", expect_size=\"7892992\"] \n  16 -> 17 [size =\"7892992\"]\n  17 [size=\"40020480\", alpha=\"0.07\", expect_size=\"16008192\"] \n  17 -> 18 [size =\"16008192\"]\n  18 [size=\"50949120\", alpha=\"0.12\", expect_size=\"20379648\"] \n  18 -> 19 [size =\"20379648\"]\n  19 [size=\"95221760\", alpha=\"0.09\", expect_size=\"38088704\"] \n  19 -> 20 [size =\"38088704\"]\n  20 [size=\"74805760\", alpha=\"0.15\", expect_size=\"29922304\"] \n  20 -> 21 [size =\"29922304\"]\n  21 [size=\"76948480\", alpha=\"0.20\", expect_size=\"30779392\"] \n  21 -> 22 [size =\"30779392\"]\n  22 [size=\"83904000\", alpha=\"0.15\", expect_size=\"33561600\"] \n  22 -> 23 [size =\"33561600\"]\n  23 [size=\"62448640\", alpha=\"0.17\", expect_size=\"24979456\"] \n  23 -> 24 [size =\"24979456\"]\n  24 [size=\"54689280\", alpha=\"0.14\", expect_size=\"21875712\"] \n  24 -> 25 [size =\"21875712\"]\n  25 [size=\"21739520\", alpha=\"0.15\", expect_size=\"8695808\"] \n  25 -> 26 [size =\"8695808\"]\n  26 [size=\"70028800\", alpha=\"0.10\", expect_size=\"28011520\"] \n  26 -> 27 [size =\"28011520\"]\n  27 [size=\"46371840\", alpha=\"0.02\", expect_size=\"18548736\"] \n  27 -> 28 [size =\"18548736\"]\n  28 [size=\"85555200\", alpha=\"0.03\", expect_size=\"34222080\"] \n  28 -> 29 [size =\"34222080\"]\n  29 [size=\"41169920\", alpha=\"0.19\", expect_size=\"16467968\"] \n  29 -> 30 [size =\"16467968\"]\n  30 [size=\"93145600\", alpha=\"0.01\", expect_size=\"37258240\"] \n  30 -> 31 [size =\"37258240\"]\n  31 [size=\"65768960\", alpha=\"0.00\", expect_size=\"26307584\"] \n  31 -> 32 [size =\"26307584\"]\n  32 [size=\"64619520\", alpha=\"0.14\", expect_size=\"25847808\"] \n  32 -> 33 [size =\"25847808\"]\n  33 [size=\"32232960\", alpha=\"0.18\", expect_size=\"12893184\"] \n  33 -> 34 [size =\"12893184\"]\n  34 [size=\"130403840\", alpha=\"0.09\", expect_size=\"52161536\"] \n  34 -> 35 [size =\"52161536\"]\n  35 [size=\"92802560\", alpha=\"0.16\", expect_size=\"37121024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69963093\", alpha=\"0.08\", expect_size=\"20988928\"] \n  1 -> 6 [size =\"20988928\"]\n  2 [size=\"125351253\", alpha=\"0.10\", expect_size=\"37605376\"] \n  2 -> 5 [size =\"37605376\"]\n  2 -> 6 [size =\"37605376\"]\n  3 [size=\"121231360\", alpha=\"0.17\", expect_size=\"36369408\"] \n  3 -> 6 [size =\"36369408\"]\n  3 -> 7 [size =\"36369408\"]\n  3 -> 8 [size =\"36369408\"]\n  4 [size=\"86377813\", alpha=\"0.05\", expect_size=\"25913344\"] \n  4 -> 5 [size =\"25913344\"]\n  5 [size=\"73287680\", alpha=\"0.12\", expect_size=\"21986304\"] \n  5 -> 10 [size =\"21986304\"]\n  5 -> 11 [size =\"21986304\"]\n  5 -> 12 [size =\"21986304\"]\n  6 [size=\"79643307\", alpha=\"0.11\", expect_size=\"23892992\"] \n  6 -> 10 [size =\"23892992\"]\n  6 -> 11 [size =\"23892992\"]\n  6 -> 14 [size =\"23892992\"]\n  7 [size=\"126143147\", alpha=\"0.02\", expect_size=\"37842944\"] \n  7 -> 9 [size =\"37842944\"]\n  7 -> 13 [size =\"37842944\"]\n  8 [size=\"122531840\", alpha=\"0.07\", expect_size=\"36759552\"] \n  8 -> 11 [size =\"36759552\"]\n  9 [size=\"171963733\", alpha=\"0.14\", expect_size=\"51589120\"] \n  9 -> 16 [size =\"51589120\"]\n  9 -> 18 [size =\"51589120\"]\n  10 [size=\"133635413\", alpha=\"0.13\", expect_size=\"40090624\"] \n  10 -> 17 [size =\"40090624\"]\n  10 -> 18 [size =\"40090624\"]\n  11 [size=\"88371200\", alpha=\"0.14\", expect_size=\"26511360\"] \n  12 [size=\"148616533\", alpha=\"0.04\", expect_size=\"44584960\"] \n  12 -> 15 [size =\"44584960\"]\n  12 -> 18 [size =\"44584960\"]\n  13 [size=\"66942293\", alpha=\"0.11\", expect_size=\"20082688\"] \n  14 [size=\"45281280\", alpha=\"0.18\", expect_size=\"13584384\"] \n  14 -> 18 [size =\"13584384\"]\n  15 [size=\"87456427\", alpha=\"0.08\", expect_size=\"26236928\"] \n  15 -> 19 [size =\"26236928\"]\n  15 -> 20 [size =\"26236928\"]\n  16 [size=\"22773760\", alpha=\"0.06\", expect_size=\"6832128\"] \n  16 -> 19 [size =\"6832128\"]\n  16 -> 20 [size =\"6832128\"]\n  17 [size=\"111342933\", alpha=\"0.09\", expect_size=\"33402880\"] \n  17 -> 19 [size =\"33402880\"]\n  17 -> 23 [size =\"33402880\"]\n  18 [size=\"124562773\", alpha=\"0.13\", expect_size=\"37368832\"] \n  18 -> 21 [size =\"37368832\"]\n  18 -> 22 [size =\"37368832\"]\n  19 [size=\"22869333\", alpha=\"0.14\", expect_size=\"6860800\"] \n  19 -> 24 [size =\"6860800\"]\n  19 -> 25 [size =\"6860800\"]\n  19 -> 26 [size =\"6860800\"]\n  19 -> 27 [size =\"6860800\"]\n  19 -> 28 [size =\"6860800\"]\n  20 [size=\"135331840\", alpha=\"0.11\", expect_size=\"40599552\"] \n  20 -> 28 [size =\"40599552\"]\n  21 [size=\"76707840\", alpha=\"0.15\", expect_size=\"23012352\"] \n  22 [size=\"30621013\", alpha=\"0.12\", expect_size=\"9186304\"] \n  22 -> 25 [size =\"9186304\"]\n  22 -> 28 [size =\"9186304\"]\n  23 [size=\"62272853\", alpha=\"0.03\", expect_size=\"18681856\"] \n  24 [size=\"150050133\", alpha=\"0.02\", expect_size=\"45015040\"] \n  24 -> 29 [size =\"45015040\"]\n  24 -> 30 [size =\"45015040\"]\n  24 -> 32 [size =\"45015040\"]\n  25 [size=\"135188480\", alpha=\"0.08\", expect_size=\"40556544\"] \n  25 -> 29 [size =\"40556544\"]\n  25 -> 32 [size =\"40556544\"]\n  26 [size=\"39212373\", alpha=\"0.02\", expect_size=\"11763712\"] \n  26 -> 30 [size =\"11763712\"]\n  26 -> 33 [size =\"11763712\"]\n  27 [size=\"83633493\", alpha=\"0.10\", expect_size=\"25090048\"] \n  27 -> 31 [size =\"25090048\"]\n  28 [size=\"157736960\", alpha=\"0.12\", expect_size=\"47321088\"] \n  28 -> 31 [size =\"47321088\"]\n  28 -> 34 [size =\"47321088\"]\n  29 [size=\"106233173\", alpha=\"0.13\", expect_size=\"31869952\"] \n  30 [size=\"62498133\", alpha=\"0.09\", expect_size=\"18749440\"] \n  31 [size=\"151552000\", alpha=\"0.14\", expect_size=\"45465600\"] \n  32 [size=\"111312213\", alpha=\"0.15\", expect_size=\"33393664\"] \n  33 [size=\"49650347\", alpha=\"0.03\", expect_size=\"14895104\"] \n  34 [size=\"70328320\", alpha=\"0.14\", expect_size=\"21098496\"] \n  34 -> 35 [size =\"21098496\"]\n  35 [size=\"84961280\", alpha=\"0.15\", expect_size=\"25488384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27863040\", alpha=\"0.03\", expect_size=\"11145216\"] \n  1 -> 15 [size =\"11145216\"]\n  1 -> 21 [size =\"11145216\"]\n  1 -> 22 [size =\"11145216\"]\n  2 [size=\"107824640\", alpha=\"0.05\", expect_size=\"43129856\"] \n  2 -> 15 [size =\"43129856\"]\n  2 -> 17 [size =\"43129856\"]\n  2 -> 22 [size =\"43129856\"]\n  2 -> 23 [size =\"43129856\"]\n  3 [size=\"119575040\", alpha=\"0.06\", expect_size=\"47830016\"] \n  3 -> 15 [size =\"47830016\"]\n  3 -> 17 [size =\"47830016\"]\n  3 -> 18 [size =\"47830016\"]\n  3 -> 20 [size =\"47830016\"]\n  3 -> 22 [size =\"47830016\"]\n  3 -> 23 [size =\"47830016\"]\n  4 [size=\"23101440\", alpha=\"0.05\", expect_size=\"9240576\"] \n  4 -> 12 [size =\"9240576\"]\n  4 -> 13 [size =\"9240576\"]\n  4 -> 14 [size =\"9240576\"]\n  4 -> 15 [size =\"9240576\"]\n  4 -> 17 [size =\"9240576\"]\n  4 -> 20 [size =\"9240576\"]\n  4 -> 22 [size =\"9240576\"]\n  4 -> 23 [size =\"9240576\"]\n  5 [size=\"39731200\", alpha=\"0.05\", expect_size=\"15892480\"] \n  5 -> 16 [size =\"15892480\"]\n  5 -> 17 [size =\"15892480\"]\n  5 -> 19 [size =\"15892480\"]\n  5 -> 20 [size =\"15892480\"]\n  5 -> 23 [size =\"15892480\"]\n  6 [size=\"82900480\", alpha=\"0.12\", expect_size=\"33160192\"] \n  6 -> 14 [size =\"33160192\"]\n  6 -> 17 [size =\"33160192\"]\n  6 -> 20 [size =\"33160192\"]\n  6 -> 20 [size =\"33160192\"]\n  6 -> 23 [size =\"33160192\"]\n  7 [size=\"130327040\", alpha=\"0.07\", expect_size=\"52130816\"] \n  7 -> 19 [size =\"52130816\"]\n  8 [size=\"15493120\", alpha=\"0.01\", expect_size=\"6197248\"] \n  8 -> 18 [size =\"6197248\"]\n  8 -> 19 [size =\"6197248\"]\n  8 -> 20 [size =\"6197248\"]\n  8 -> 22 [size =\"6197248\"]\n  8 -> 23 [size =\"6197248\"]\n  9 [size=\"44554240\", alpha=\"0.19\", expect_size=\"17821696\"] \n  9 -> 12 [size =\"17821696\"]\n  9 -> 14 [size =\"17821696\"]\n  9 -> 15 [size =\"17821696\"]\n  9 -> 17 [size =\"17821696\"]\n  9 -> 18 [size =\"17821696\"]\n  9 -> 19 [size =\"17821696\"]\n  9 -> 21 [size =\"17821696\"]\n  10 [size=\"101736960\", alpha=\"0.08\", expect_size=\"40694784\"] \n  10 -> 15 [size =\"40694784\"]\n  10 -> 16 [size =\"40694784\"]\n  10 -> 17 [size =\"40694784\"]\n  11 [size=\"101731840\", alpha=\"0.02\", expect_size=\"40692736\"] \n  11 -> 14 [size =\"40692736\"]\n  11 -> 17 [size =\"40692736\"]\n  11 -> 21 [size =\"40692736\"]\n  11 -> 23 [size =\"40692736\"]\n  12 [size=\"117306880\", alpha=\"0.01\", expect_size=\"46922752\"] \n  12 -> 26 [size =\"46922752\"]\n  12 -> 28 [size =\"46922752\"]\n  12 -> 29 [size =\"46922752\"]\n  12 -> 30 [size =\"46922752\"]\n  12 -> 31 [size =\"46922752\"]\n  12 -> 32 [size =\"46922752\"]\n  13 [size=\"28390400\", alpha=\"0.11\", expect_size=\"11356160\"] \n  13 -> 27 [size =\"11356160\"]\n  13 -> 28 [size =\"11356160\"]\n  13 -> 30 [size =\"11356160\"]\n  13 -> 30 [size =\"11356160\"]\n  13 -> 34 [size =\"11356160\"]\n  14 [size=\"63011840\", alpha=\"0.14\", expect_size=\"25204736\"] \n  14 -> 24 [size =\"25204736\"]\n  14 -> 26 [size =\"25204736\"]\n  14 -> 28 [size =\"25204736\"]\n  14 -> 30 [size =\"25204736\"]\n  14 -> 33 [size =\"25204736\"]\n  14 -> 34 [size =\"25204736\"]\n  15 [size=\"95101440\", alpha=\"0.04\", expect_size=\"38040576\"] \n  15 -> 25 [size =\"38040576\"]\n  15 -> 26 [size =\"38040576\"]\n  15 -> 27 [size =\"38040576\"]\n  15 -> 28 [size =\"38040576\"]\n  15 -> 29 [size =\"38040576\"]\n  15 -> 32 [size =\"38040576\"]\n  16 [size=\"122137600\", alpha=\"0.04\", expect_size=\"48855040\"] \n  16 -> 25 [size =\"48855040\"]\n  16 -> 26 [size =\"48855040\"]\n  16 -> 27 [size =\"48855040\"]\n  16 -> 28 [size =\"48855040\"]\n  17 [size=\"73456640\", alpha=\"0.16\", expect_size=\"29382656\"] \n  17 -> 25 [size =\"29382656\"]\n  17 -> 27 [size =\"29382656\"]\n  17 -> 31 [size =\"29382656\"]\n  18 [size=\"114222080\", alpha=\"0.19\", expect_size=\"45688832\"] \n  18 -> 25 [size =\"45688832\"]\n  18 -> 26 [size =\"45688832\"]\n  18 -> 27 [size =\"45688832\"]\n  18 -> 28 [size =\"45688832\"]\n  18 -> 29 [size =\"45688832\"]\n  18 -> 30 [size =\"45688832\"]\n  18 -> 32 [size =\"45688832\"]\n  18 -> 33 [size =\"45688832\"]\n  19 [size=\"122795520\", alpha=\"0.04\", expect_size=\"49118208\"] \n  19 -> 26 [size =\"49118208\"]\n  19 -> 29 [size =\"49118208\"]\n  19 -> 31 [size =\"49118208\"]\n  19 -> 34 [size =\"49118208\"]\n  20 [size=\"114017280\", alpha=\"0.03\", expect_size=\"45606912\"] \n  20 -> 25 [size =\"45606912\"]\n  20 -> 26 [size =\"45606912\"]\n  20 -> 27 [size =\"45606912\"]\n  20 -> 34 [size =\"45606912\"]\n  21 [size=\"40632320\", alpha=\"0.05\", expect_size=\"16252928\"] \n  21 -> 25 [size =\"16252928\"]\n  21 -> 27 [size =\"16252928\"]\n  22 [size=\"54033920\", alpha=\"0.02\", expect_size=\"21613568\"] \n  22 -> 25 [size =\"21613568\"]\n  22 -> 26 [size =\"21613568\"]\n  22 -> 27 [size =\"21613568\"]\n  22 -> 32 [size =\"21613568\"]\n  23 [size=\"60825600\", alpha=\"0.17\", expect_size=\"24330240\"] \n  23 -> 25 [size =\"24330240\"]\n  23 -> 28 [size =\"24330240\"]\n  23 -> 29 [size =\"24330240\"]\n  23 -> 30 [size =\"24330240\"]\n  23 -> 32 [size =\"24330240\"]\n  24 [size=\"127672320\", alpha=\"0.14\", expect_size=\"51068928\"] \n  24 -> 35 [size =\"51068928\"]\n  25 [size=\"93373440\", alpha=\"0.16\", expect_size=\"37349376\"] \n  25 -> 35 [size =\"37349376\"]\n  26 [size=\"114119680\", alpha=\"0.09\", expect_size=\"45647872\"] \n  27 [size=\"16898560\", alpha=\"0.03\", expect_size=\"6759424\"] \n  27 -> 35 [size =\"6759424\"]\n  28 [size=\"112949760\", alpha=\"0.16\", expect_size=\"45179904\"] \n  29 [size=\"104235520\", alpha=\"0.15\", expect_size=\"41694208\"] \n  30 [size=\"130636800\", alpha=\"0.09\", expect_size=\"52254720\"] \n  30 -> 35 [size =\"52254720\"]\n  31 [size=\"31854080\", alpha=\"0.19\", expect_size=\"12741632\"] \n  32 [size=\"58570240\", alpha=\"0.05\", expect_size=\"23428096\"] \n  32 -> 35 [size =\"23428096\"]\n  33 [size=\"69575680\", alpha=\"0.15\", expect_size=\"27830272\"] \n  33 -> 35 [size =\"27830272\"]\n  34 [size=\"53378560\", alpha=\"0.12\", expect_size=\"21351424\"] \n  34 -> 35 [size =\"21351424\"]\n  35 [size=\"19973120\", alpha=\"0.04\", expect_size=\"7989248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93503488\", alpha=\"0.19\", expect_size=\"46751744\"] \n  1 -> 2 [size =\"46751744\"]\n  1 -> 3 [size =\"46751744\"]\n  2 [size=\"60469248\", alpha=\"0.19\", expect_size=\"30234624\"] \n  3 [size=\"97546240\", alpha=\"0.03\", expect_size=\"48773120\"] \n  3 -> 4 [size =\"48773120\"]\n  3 -> 5 [size =\"48773120\"]\n  4 [size=\"94328832\", alpha=\"0.06\", expect_size=\"47164416\"] \n  5 [size=\"46336000\", alpha=\"0.13\", expect_size=\"23168000\"] \n  5 -> 6 [size =\"23168000\"]\n  6 [size=\"36042752\", alpha=\"0.01\", expect_size=\"18021376\"] \n  6 -> 7 [size =\"18021376\"]\n  7 [size=\"28401664\", alpha=\"0.03\", expect_size=\"14200832\"] \n  7 -> 8 [size =\"14200832\"]\n  7 -> 9 [size =\"14200832\"]\n  8 [size=\"93083648\", alpha=\"0.07\", expect_size=\"46541824\"] \n  9 [size=\"53972992\", alpha=\"0.19\", expect_size=\"26986496\"] \n  9 -> 10 [size =\"26986496\"]\n  10 [size=\"92809216\", alpha=\"0.13\", expect_size=\"46404608\"] \n  10 -> 11 [size =\"46404608\"]\n  10 -> 12 [size =\"46404608\"]\n  11 [size=\"82907136\", alpha=\"0.19\", expect_size=\"41453568\"] \n  11 -> 13 [size =\"41453568\"]\n  12 [size=\"80467968\", alpha=\"0.09\", expect_size=\"40233984\"] \n  12 -> 14 [size =\"40233984\"]\n  13 [size=\"75425792\", alpha=\"0.12\", expect_size=\"37712896\"] \n  13 -> 15 [size =\"37712896\"]\n  14 [size=\"89364480\", alpha=\"0.06\", expect_size=\"44682240\"] \n  15 [size=\"22136832\", alpha=\"0.14\", expect_size=\"11068416\"] \n  15 -> 16 [size =\"11068416\"]\n  15 -> 17 [size =\"11068416\"]\n  16 [size=\"82685952\", alpha=\"0.13\", expect_size=\"41342976\"] \n  16 -> 18 [size =\"41342976\"]\n  17 [size=\"88098816\", alpha=\"0.19\", expect_size=\"44049408\"] \n  18 [size=\"102621184\", alpha=\"0.07\", expect_size=\"51310592\"] \n  18 -> 19 [size =\"51310592\"]\n  19 [size=\"40902656\", alpha=\"0.16\", expect_size=\"20451328\"] \n  19 -> 20 [size =\"20451328\"]\n  19 -> 21 [size =\"20451328\"]\n  20 [size=\"37410816\", alpha=\"0.07\", expect_size=\"18705408\"] \n  20 -> 22 [size =\"18705408\"]\n  21 [size=\"99764224\", alpha=\"0.15\", expect_size=\"49882112\"] \n  22 [size=\"96759808\", alpha=\"0.15\", expect_size=\"48379904\"] \n  22 -> 23 [size =\"48379904\"]\n  23 [size=\"43458560\", alpha=\"0.12\", expect_size=\"21729280\"] \n  23 -> 24 [size =\"21729280\"]\n  23 -> 25 [size =\"21729280\"]\n  24 [size=\"99796992\", alpha=\"0.08\", expect_size=\"49898496\"] \n  25 [size=\"35356672\", alpha=\"0.11\", expect_size=\"17678336\"] \n  25 -> 26 [size =\"17678336\"]\n  25 -> 27 [size =\"17678336\"]\n  26 [size=\"102873088\", alpha=\"0.19\", expect_size=\"51436544\"] \n  27 [size=\"71671808\", alpha=\"0.12\", expect_size=\"35835904\"] \n  27 -> 28 [size =\"35835904\"]\n  27 -> 29 [size =\"35835904\"]\n  28 [size=\"67594240\", alpha=\"0.01\", expect_size=\"33797120\"] \n  29 [size=\"102555648\", alpha=\"0.00\", expect_size=\"51277824\"] \n  29 -> 30 [size =\"51277824\"]\n  30 [size=\"81737728\", alpha=\"0.17\", expect_size=\"40868864\"] \n  30 -> 31 [size =\"40868864\"]\n  31 [size=\"18763776\", alpha=\"0.09\", expect_size=\"9381888\"] \n  31 -> 32 [size =\"9381888\"]\n  31 -> 33 [size =\"9381888\"]\n  32 [size=\"91027456\", alpha=\"0.15\", expect_size=\"45513728\"] \n  32 -> 34 [size =\"45513728\"]\n  32 -> 35 [size =\"45513728\"]\n  33 [size=\"65398784\", alpha=\"0.16\", expect_size=\"32699392\"] \n  34 [size=\"28938240\", alpha=\"0.13\", expect_size=\"14469120\"] \n  35 [size=\"65488896\", alpha=\"0.12\", expect_size=\"32744448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32153600\", alpha=\"0.07\", expect_size=\"12861440\"] \n  1 -> 28 [size =\"12861440\"]\n  1 -> 29 [size =\"12861440\"]\n  1 -> 31 [size =\"12861440\"]\n  2 [size=\"26923520\", alpha=\"0.10\", expect_size=\"10769408\"] \n  2 -> 28 [size =\"10769408\"]\n  3 [size=\"32404480\", alpha=\"0.09\", expect_size=\"12961792\"] \n  3 -> 27 [size =\"12961792\"]\n  3 -> 29 [size =\"12961792\"]\n  3 -> 34 [size =\"12961792\"]\n  4 [size=\"31244800\", alpha=\"0.06\", expect_size=\"12497920\"] \n  4 -> 28 [size =\"12497920\"]\n  4 -> 29 [size =\"12497920\"]\n  4 -> 31 [size =\"12497920\"]\n  5 [size=\"25530880\", alpha=\"0.09\", expect_size=\"10212352\"] \n  5 -> 29 [size =\"10212352\"]\n  5 -> 31 [size =\"10212352\"]\n  5 -> 31 [size =\"10212352\"]\n  6 [size=\"15362560\", alpha=\"0.15\", expect_size=\"6145024\"] \n  6 -> 27 [size =\"6145024\"]\n  6 -> 29 [size =\"6145024\"]\n  7 [size=\"105556480\", alpha=\"0.06\", expect_size=\"42222592\"] \n  7 -> 30 [size =\"42222592\"]\n  8 [size=\"26767360\", alpha=\"0.09\", expect_size=\"10706944\"] \n  8 -> 28 [size =\"10706944\"]\n  8 -> 29 [size =\"10706944\"]\n  8 -> 30 [size =\"10706944\"]\n  8 -> 35 [size =\"10706944\"]\n  9 [size=\"124254720\", alpha=\"0.03\", expect_size=\"49701888\"] \n  9 -> 27 [size =\"49701888\"]\n  9 -> 28 [size =\"49701888\"]\n  9 -> 31 [size =\"49701888\"]\n  10 [size=\"18096640\", alpha=\"0.01\", expect_size=\"7238656\"] \n  10 -> 31 [size =\"7238656\"]\n  11 [size=\"52423680\", alpha=\"0.16\", expect_size=\"20969472\"] \n  11 -> 27 [size =\"20969472\"]\n  11 -> 29 [size =\"20969472\"]\n  11 -> 31 [size =\"20969472\"]\n  12 [size=\"94694400\", alpha=\"0.08\", expect_size=\"37877760\"] \n  12 -> 27 [size =\"37877760\"]\n  13 [size=\"33313280\", alpha=\"0.20\", expect_size=\"13325312\"] \n  13 -> 28 [size =\"13325312\"]\n  13 -> 29 [size =\"13325312\"]\n  14 [size=\"84802560\", alpha=\"0.08\", expect_size=\"33921024\"] \n  14 -> 28 [size =\"33921024\"]\n  14 -> 31 [size =\"33921024\"]\n  14 -> 34 [size =\"33921024\"]\n  15 [size=\"118686720\", alpha=\"0.20\", expect_size=\"47474688\"] \n  16 [size=\"53434880\", alpha=\"0.20\", expect_size=\"21373952\"] \n  16 -> 28 [size =\"21373952\"]\n  17 [size=\"21934080\", alpha=\"0.06\", expect_size=\"8773632\"] \n  17 -> 28 [size =\"8773632\"]\n  17 -> 31 [size =\"8773632\"]\n  17 -> 33 [size =\"8773632\"]\n  17 -> 35 [size =\"8773632\"]\n  18 [size=\"57093120\", alpha=\"0.11\", expect_size=\"22837248\"] \n  18 -> 33 [size =\"22837248\"]\n  19 [size=\"107773440\", alpha=\"0.18\", expect_size=\"43109376\"] \n  19 -> 30 [size =\"43109376\"]\n  20 [size=\"122844160\", alpha=\"0.06\", expect_size=\"49137664\"] \n  20 -> 28 [size =\"49137664\"]\n  20 -> 29 [size =\"49137664\"]\n  20 -> 32 [size =\"49137664\"]\n  20 -> 35 [size =\"49137664\"]\n  21 [size=\"128115200\", alpha=\"0.17\", expect_size=\"51246080\"] \n  21 -> 27 [size =\"51246080\"]\n  21 -> 35 [size =\"51246080\"]\n  22 [size=\"107299840\", alpha=\"0.10\", expect_size=\"42919936\"] \n  22 -> 34 [size =\"42919936\"]\n  23 [size=\"36282880\", alpha=\"0.06\", expect_size=\"14513152\"] \n  23 -> 34 [size =\"14513152\"]\n  24 [size=\"34035200\", alpha=\"0.06\", expect_size=\"13614080\"] \n  24 -> 34 [size =\"13614080\"]\n  25 [size=\"78563840\", alpha=\"0.08\", expect_size=\"31425536\"] \n  25 -> 31 [size =\"31425536\"]\n  26 [size=\"76853760\", alpha=\"0.10\", expect_size=\"30741504\"] \n  26 -> 31 [size =\"30741504\"]\n  27 [size=\"75056640\", alpha=\"0.07\", expect_size=\"30022656\"] \n  28 [size=\"108782080\", alpha=\"0.08\", expect_size=\"43512832\"] \n  29 [size=\"55242240\", alpha=\"0.06\", expect_size=\"22096896\"] \n  30 [size=\"43018240\", alpha=\"0.06\", expect_size=\"17207296\"] \n  31 [size=\"76116480\", alpha=\"0.13\", expect_size=\"30446592\"] \n  32 [size=\"55621120\", alpha=\"0.13\", expect_size=\"22248448\"] \n  33 [size=\"113310720\", alpha=\"0.17\", expect_size=\"45324288\"] \n  34 [size=\"32555520\", alpha=\"0.13\", expect_size=\"13022208\"] \n  35 [size=\"67427840\", alpha=\"0.06\", expect_size=\"26971136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162986667\", alpha=\"0.01\", expect_size=\"48896000\"] \n  1 -> 15 [size =\"48896000\"]\n  1 -> 18 [size =\"48896000\"]\n  1 -> 20 [size =\"48896000\"]\n  1 -> 24 [size =\"48896000\"]\n  2 [size=\"143872000\", alpha=\"0.16\", expect_size=\"43161600\"] \n  2 -> 14 [size =\"43161600\"]\n  2 -> 15 [size =\"43161600\"]\n  2 -> 18 [size =\"43161600\"]\n  2 -> 21 [size =\"43161600\"]\n  2 -> 23 [size =\"43161600\"]\n  2 -> 24 [size =\"43161600\"]\n  3 [size=\"137144320\", alpha=\"0.10\", expect_size=\"41143296\"] \n  3 -> 15 [size =\"41143296\"]\n  3 -> 15 [size =\"41143296\"]\n  3 -> 16 [size =\"41143296\"]\n  3 -> 18 [size =\"41143296\"]\n  3 -> 19 [size =\"41143296\"]\n  3 -> 25 [size =\"41143296\"]\n  4 [size=\"129024000\", alpha=\"0.12\", expect_size=\"38707200\"] \n  4 -> 14 [size =\"38707200\"]\n  4 -> 15 [size =\"38707200\"]\n  4 -> 18 [size =\"38707200\"]\n  4 -> 19 [size =\"38707200\"]\n  4 -> 25 [size =\"38707200\"]\n  4 -> 26 [size =\"38707200\"]\n  5 [size=\"23644160\", alpha=\"0.01\", expect_size=\"7093248\"] \n  5 -> 18 [size =\"7093248\"]\n  5 -> 19 [size =\"7093248\"]\n  5 -> 20 [size =\"7093248\"]\n  5 -> 21 [size =\"7093248\"]\n  5 -> 23 [size =\"7093248\"]\n  5 -> 25 [size =\"7093248\"]\n  6 [size=\"159016960\", alpha=\"0.19\", expect_size=\"47705088\"] \n  6 -> 14 [size =\"47705088\"]\n  6 -> 15 [size =\"47705088\"]\n  6 -> 20 [size =\"47705088\"]\n  6 -> 22 [size =\"47705088\"]\n  6 -> 23 [size =\"47705088\"]\n  6 -> 24 [size =\"47705088\"]\n  7 [size=\"163174400\", alpha=\"0.07\", expect_size=\"48952320\"] \n  7 -> 14 [size =\"48952320\"]\n  7 -> 21 [size =\"48952320\"]\n  7 -> 25 [size =\"48952320\"]\n  8 [size=\"55108267\", alpha=\"0.08\", expect_size=\"16532480\"] \n  8 -> 16 [size =\"16532480\"]\n  9 [size=\"137728000\", alpha=\"0.04\", expect_size=\"41318400\"] \n  9 -> 25 [size =\"41318400\"]\n  9 -> 26 [size =\"41318400\"]\n  10 [size=\"40069120\", alpha=\"0.16\", expect_size=\"12020736\"] \n  10 -> 19 [size =\"12020736\"]\n  10 -> 21 [size =\"12020736\"]\n  10 -> 23 [size =\"12020736\"]\n  10 -> 25 [size =\"12020736\"]\n  10 -> 26 [size =\"12020736\"]\n  11 [size=\"82769920\", alpha=\"0.01\", expect_size=\"24830976\"] \n  11 -> 14 [size =\"24830976\"]\n  11 -> 18 [size =\"24830976\"]\n  11 -> 19 [size =\"24830976\"]\n  11 -> 24 [size =\"24830976\"]\n  12 [size=\"92890453\", alpha=\"0.02\", expect_size=\"27867136\"] \n  12 -> 17 [size =\"27867136\"]\n  12 -> 19 [size =\"27867136\"]\n  12 -> 21 [size =\"27867136\"]\n  12 -> 22 [size =\"27867136\"]\n  12 -> 23 [size =\"27867136\"]\n  12 -> 24 [size =\"27867136\"]\n  12 -> 25 [size =\"27867136\"]\n  13 [size=\"58463573\", alpha=\"0.02\", expect_size=\"17539072\"] \n  14 [size=\"134795947\", alpha=\"0.10\", expect_size=\"40438784\"] \n  14 -> 29 [size =\"40438784\"]\n  15 [size=\"71519573\", alpha=\"0.16\", expect_size=\"21455872\"] \n  15 -> 29 [size =\"21455872\"]\n  15 -> 33 [size =\"21455872\"]\n  15 -> 34 [size =\"21455872\"]\n  15 -> 35 [size =\"21455872\"]\n  16 [size=\"80728747\", alpha=\"0.08\", expect_size=\"24218624\"] \n  16 -> 28 [size =\"24218624\"]\n  16 -> 29 [size =\"24218624\"]\n  16 -> 30 [size =\"24218624\"]\n  16 -> 32 [size =\"24218624\"]\n  16 -> 34 [size =\"24218624\"]\n  16 -> 35 [size =\"24218624\"]\n  17 [size=\"71509333\", alpha=\"0.02\", expect_size=\"21452800\"] \n  17 -> 28 [size =\"21452800\"]\n  17 -> 34 [size =\"21452800\"]\n  18 [size=\"130256213\", alpha=\"0.10\", expect_size=\"39076864\"] \n  18 -> 27 [size =\"39076864\"]\n  18 -> 29 [size =\"39076864\"]\n  18 -> 30 [size =\"39076864\"]\n  18 -> 34 [size =\"39076864\"]\n  19 [size=\"32771413\", alpha=\"0.17\", expect_size=\"9831424\"] \n  19 -> 27 [size =\"9831424\"]\n  19 -> 30 [size =\"9831424\"]\n  19 -> 31 [size =\"9831424\"]\n  19 -> 35 [size =\"9831424\"]\n  20 [size=\"62989653\", alpha=\"0.16\", expect_size=\"18896896\"] \n  20 -> 27 [size =\"18896896\"]\n  20 -> 34 [size =\"18896896\"]\n  20 -> 35 [size =\"18896896\"]\n  20 -> 35 [size =\"18896896\"]\n  21 [size=\"33689600\", alpha=\"0.15\", expect_size=\"10106880\"] \n  21 -> 28 [size =\"10106880\"]\n  21 -> 34 [size =\"10106880\"]\n  22 [size=\"40843947\", alpha=\"0.09\", expect_size=\"12253184\"] \n  22 -> 28 [size =\"12253184\"]\n  22 -> 30 [size =\"12253184\"]\n  23 [size=\"59996160\", alpha=\"0.18\", expect_size=\"17998848\"] \n  23 -> 27 [size =\"17998848\"]\n  23 -> 30 [size =\"17998848\"]\n  23 -> 35 [size =\"17998848\"]\n  24 [size=\"73386667\", alpha=\"0.01\", expect_size=\"22016000\"] \n  24 -> 30 [size =\"22016000\"]\n  24 -> 32 [size =\"22016000\"]\n  25 [size=\"149763413\", alpha=\"0.06\", expect_size=\"44929024\"] \n  25 -> 29 [size =\"44929024\"]\n  25 -> 33 [size =\"44929024\"]\n  25 -> 35 [size =\"44929024\"]\n  26 [size=\"119473493\", alpha=\"0.08\", expect_size=\"35842048\"] \n  26 -> 29 [size =\"35842048\"]\n  26 -> 30 [size =\"35842048\"]\n  27 [size=\"21691733\", alpha=\"0.09\", expect_size=\"6507520\"] \n  28 [size=\"37311147\", alpha=\"0.14\", expect_size=\"11193344\"] \n  29 [size=\"117275307\", alpha=\"0.15\", expect_size=\"35182592\"] \n  30 [size=\"93119147\", alpha=\"0.19\", expect_size=\"27935744\"] \n  31 [size=\"65303893\", alpha=\"0.11\", expect_size=\"19591168\"] \n  32 [size=\"22060373\", alpha=\"0.13\", expect_size=\"6618112\"] \n  33 [size=\"89780907\", alpha=\"0.20\", expect_size=\"26934272\"] \n  34 [size=\"73564160\", alpha=\"0.02\", expect_size=\"22069248\"] \n  35 [size=\"84964693\", alpha=\"0.10\", expect_size=\"25489408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74280960\", alpha=\"0.07\", expect_size=\"37140480\"] \n  1 -> 2 [size =\"37140480\"]\n  2 [size=\"18782208\", alpha=\"0.18\", expect_size=\"9391104\"] \n  2 -> 3 [size =\"9391104\"]\n  2 -> 4 [size =\"9391104\"]\n  3 [size=\"81127424\", alpha=\"0.06\", expect_size=\"40563712\"] \n  4 [size=\"26089472\", alpha=\"0.14\", expect_size=\"13044736\"] \n  4 -> 5 [size =\"13044736\"]\n  5 [size=\"99098624\", alpha=\"0.08\", expect_size=\"49549312\"] \n  5 -> 6 [size =\"49549312\"]\n  5 -> 7 [size =\"49549312\"]\n  6 [size=\"54427648\", alpha=\"0.08\", expect_size=\"27213824\"] \n  6 -> 8 [size =\"27213824\"]\n  7 [size=\"100182016\", alpha=\"0.08\", expect_size=\"50091008\"] \n  8 [size=\"10735616\", alpha=\"0.11\", expect_size=\"5367808\"] \n  8 -> 9 [size =\"5367808\"]\n  8 -> 10 [size =\"5367808\"]\n  9 [size=\"35303424\", alpha=\"0.09\", expect_size=\"17651712\"] \n  9 -> 12 [size =\"17651712\"]\n  10 [size=\"99563520\", alpha=\"0.20\", expect_size=\"49781760\"] \n  10 -> 11 [size =\"49781760\"]\n  11 [size=\"65165312\", alpha=\"0.12\", expect_size=\"32582656\"] \n  11 -> 13 [size =\"32582656\"]\n  12 [size=\"97062912\", alpha=\"0.14\", expect_size=\"48531456\"] \n  13 [size=\"88512512\", alpha=\"0.16\", expect_size=\"44256256\"] \n  13 -> 14 [size =\"44256256\"]\n  13 -> 15 [size =\"44256256\"]\n  14 [size=\"22136832\", alpha=\"0.16\", expect_size=\"11068416\"] \n  15 [size=\"90368000\", alpha=\"0.04\", expect_size=\"45184000\"] \n  15 -> 16 [size =\"45184000\"]\n  16 [size=\"34736128\", alpha=\"0.20\", expect_size=\"17368064\"] \n  16 -> 17 [size =\"17368064\"]\n  16 -> 18 [size =\"17368064\"]\n  17 [size=\"71053312\", alpha=\"0.07\", expect_size=\"35526656\"] \n  18 [size=\"15544320\", alpha=\"0.06\", expect_size=\"7772160\"] \n  18 -> 19 [size =\"7772160\"]\n  19 [size=\"68315136\", alpha=\"0.15\", expect_size=\"34157568\"] \n  19 -> 20 [size =\"34157568\"]\n  20 [size=\"17836032\", alpha=\"0.17\", expect_size=\"8918016\"] \n  20 -> 21 [size =\"8918016\"]\n  20 -> 22 [size =\"8918016\"]\n  21 [size=\"17805312\", alpha=\"0.12\", expect_size=\"8902656\"] \n  22 [size=\"74881024\", alpha=\"0.09\", expect_size=\"37440512\"] \n  22 -> 23 [size =\"37440512\"]\n  23 [size=\"48082944\", alpha=\"0.01\", expect_size=\"24041472\"] \n  23 -> 24 [size =\"24041472\"]\n  24 [size=\"30214144\", alpha=\"0.16\", expect_size=\"15107072\"] \n  24 -> 25 [size =\"15107072\"]\n  24 -> 26 [size =\"15107072\"]\n  25 [size=\"11776000\", alpha=\"0.11\", expect_size=\"5888000\"] \n  25 -> 27 [size =\"5888000\"]\n  25 -> 28 [size =\"5888000\"]\n  26 [size=\"32733184\", alpha=\"0.14\", expect_size=\"16366592\"] \n  27 [size=\"32559104\", alpha=\"0.17\", expect_size=\"16279552\"] \n  27 -> 30 [size =\"16279552\"]\n  28 [size=\"65357824\", alpha=\"0.19\", expect_size=\"32678912\"] \n  28 -> 29 [size =\"32678912\"]\n  29 [size=\"92465152\", alpha=\"0.07\", expect_size=\"46232576\"] \n  30 [size=\"67672064\", alpha=\"0.14\", expect_size=\"33836032\"] \n  30 -> 31 [size =\"33836032\"]\n  30 -> 32 [size =\"33836032\"]\n  31 [size=\"51484672\", alpha=\"0.12\", expect_size=\"25742336\"] \n  31 -> 33 [size =\"25742336\"]\n  32 [size=\"13328384\", alpha=\"0.08\", expect_size=\"6664192\"] \n  32 -> 34 [size =\"6664192\"]\n  33 [size=\"55871488\", alpha=\"0.02\", expect_size=\"27935744\"] \n  34 [size=\"61011968\", alpha=\"0.17\", expect_size=\"30505984\"] \n  34 -> 35 [size =\"30505984\"]\n  35 [size=\"44353536\", alpha=\"0.10\", expect_size=\"22176768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110149120\", alpha=\"0.08\", expect_size=\"44059648\"] \n  1 -> 2 [size =\"44059648\"]\n  2 [size=\"128770560\", alpha=\"0.07\", expect_size=\"51508224\"] \n  2 -> 3 [size =\"51508224\"]\n  3 [size=\"125486080\", alpha=\"0.17\", expect_size=\"50194432\"] \n  3 -> 4 [size =\"50194432\"]\n  4 [size=\"124523520\", alpha=\"0.16\", expect_size=\"49809408\"] \n  4 -> 5 [size =\"49809408\"]\n  5 [size=\"26662400\", alpha=\"0.11\", expect_size=\"10664960\"] \n  5 -> 6 [size =\"10664960\"]\n  6 [size=\"71139840\", alpha=\"0.01\", expect_size=\"28455936\"] \n  6 -> 7 [size =\"28455936\"]\n  7 [size=\"83586560\", alpha=\"0.05\", expect_size=\"33434624\"] \n  7 -> 8 [size =\"33434624\"]\n  8 [size=\"64990720\", alpha=\"0.07\", expect_size=\"25996288\"] \n  8 -> 9 [size =\"25996288\"]\n  9 [size=\"123089920\", alpha=\"0.04\", expect_size=\"49235968\"] \n  9 -> 10 [size =\"49235968\"]\n  10 [size=\"45434880\", alpha=\"0.08\", expect_size=\"18173952\"] \n  10 -> 11 [size =\"18173952\"]\n  11 [size=\"33576960\", alpha=\"0.12\", expect_size=\"13430784\"] \n  11 -> 12 [size =\"13430784\"]\n  12 [size=\"82654720\", alpha=\"0.04\", expect_size=\"33061888\"] \n  12 -> 13 [size =\"33061888\"]\n  13 [size=\"122206720\", alpha=\"0.02\", expect_size=\"48882688\"] \n  13 -> 14 [size =\"48882688\"]\n  14 [size=\"102627840\", alpha=\"0.01\", expect_size=\"41051136\"] \n  14 -> 15 [size =\"41051136\"]\n  15 [size=\"76303360\", alpha=\"0.01\", expect_size=\"30521344\"] \n  15 -> 16 [size =\"30521344\"]\n  16 [size=\"22576640\", alpha=\"0.03\", expect_size=\"9030656\"] \n  16 -> 17 [size =\"9030656\"]\n  17 [size=\"29319680\", alpha=\"0.17\", expect_size=\"11727872\"] \n  17 -> 18 [size =\"11727872\"]\n  18 [size=\"56360960\", alpha=\"0.16\", expect_size=\"22544384\"] \n  18 -> 19 [size =\"22544384\"]\n  19 [size=\"98037760\", alpha=\"0.11\", expect_size=\"39215104\"] \n  19 -> 20 [size =\"39215104\"]\n  20 [size=\"120640000\", alpha=\"0.10\", expect_size=\"48256000\"] \n  20 -> 21 [size =\"48256000\"]\n  21 [size=\"49809920\", alpha=\"0.06\", expect_size=\"19923968\"] \n  21 -> 22 [size =\"19923968\"]\n  22 [size=\"121187840\", alpha=\"0.01\", expect_size=\"48475136\"] \n  22 -> 23 [size =\"48475136\"]\n  23 [size=\"25966080\", alpha=\"0.16\", expect_size=\"10386432\"] \n  23 -> 24 [size =\"10386432\"]\n  24 [size=\"35164160\", alpha=\"0.10\", expect_size=\"14065664\"] \n  24 -> 25 [size =\"14065664\"]\n  25 [size=\"38732800\", alpha=\"0.05\", expect_size=\"15493120\"] \n  25 -> 26 [size =\"15493120\"]\n  26 [size=\"45030400\", alpha=\"0.11\", expect_size=\"18012160\"] \n  26 -> 27 [size =\"18012160\"]\n  27 [size=\"61954560\", alpha=\"0.09\", expect_size=\"24781824\"] \n  27 -> 28 [size =\"24781824\"]\n  28 [size=\"41502720\", alpha=\"0.15\", expect_size=\"16601088\"] \n  28 -> 29 [size =\"16601088\"]\n  29 [size=\"15869440\", alpha=\"0.20\", expect_size=\"6347776\"] \n  29 -> 30 [size =\"6347776\"]\n  30 [size=\"78018560\", alpha=\"0.10\", expect_size=\"31207424\"] \n  30 -> 31 [size =\"31207424\"]\n  31 [size=\"19138560\", alpha=\"0.04\", expect_size=\"7655424\"] \n  31 -> 32 [size =\"7655424\"]\n  32 [size=\"54233600\", alpha=\"0.10\", expect_size=\"21693440\"] \n  32 -> 33 [size =\"21693440\"]\n  33 [size=\"63040000\", alpha=\"0.14\", expect_size=\"25216000\"] \n  33 -> 34 [size =\"25216000\"]\n  34 [size=\"39974400\", alpha=\"0.14\", expect_size=\"15989760\"] \n  34 -> 35 [size =\"15989760\"]\n  35 [size=\"96455680\", alpha=\"0.04\", expect_size=\"38582272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28700672\", alpha=\"0.04\", expect_size=\"14350336\"] \n  1 -> 2 [size =\"14350336\"]\n  2 [size=\"52789248\", alpha=\"0.06\", expect_size=\"26394624\"] \n  2 -> 3 [size =\"26394624\"]\n  3 [size=\"52746240\", alpha=\"0.13\", expect_size=\"26373120\"] \n  3 -> 4 [size =\"26373120\"]\n  4 [size=\"62674944\", alpha=\"0.00\", expect_size=\"31337472\"] \n  4 -> 5 [size =\"31337472\"]\n  5 [size=\"19742720\", alpha=\"0.04\", expect_size=\"9871360\"] \n  5 -> 6 [size =\"9871360\"]\n  6 [size=\"87144448\", alpha=\"0.16\", expect_size=\"43572224\"] \n  6 -> 7 [size =\"43572224\"]\n  7 [size=\"89700352\", alpha=\"0.10\", expect_size=\"44850176\"] \n  7 -> 8 [size =\"44850176\"]\n  8 [size=\"72714240\", alpha=\"0.11\", expect_size=\"36357120\"] \n  8 -> 9 [size =\"36357120\"]\n  9 [size=\"44437504\", alpha=\"0.13\", expect_size=\"22218752\"] \n  9 -> 10 [size =\"22218752\"]\n  10 [size=\"70014976\", alpha=\"0.15\", expect_size=\"35007488\"] \n  10 -> 11 [size =\"35007488\"]\n  11 [size=\"67641344\", alpha=\"0.06\", expect_size=\"33820672\"] \n  11 -> 12 [size =\"33820672\"]\n  12 [size=\"88471552\", alpha=\"0.17\", expect_size=\"44235776\"] \n  12 -> 13 [size =\"44235776\"]\n  13 [size=\"24152064\", alpha=\"0.00\", expect_size=\"12076032\"] \n  13 -> 14 [size =\"12076032\"]\n  14 [size=\"83718144\", alpha=\"0.15\", expect_size=\"41859072\"] \n  14 -> 15 [size =\"41859072\"]\n  15 [size=\"84422656\", alpha=\"0.13\", expect_size=\"42211328\"] \n  15 -> 16 [size =\"42211328\"]\n  16 [size=\"101341184\", alpha=\"0.15\", expect_size=\"50670592\"] \n  16 -> 17 [size =\"50670592\"]\n  17 [size=\"84570112\", alpha=\"0.14\", expect_size=\"42285056\"] \n  17 -> 18 [size =\"42285056\"]\n  18 [size=\"35555328\", alpha=\"0.08\", expect_size=\"17777664\"] \n  18 -> 19 [size =\"17777664\"]\n  19 [size=\"85477376\", alpha=\"0.01\", expect_size=\"42738688\"] \n  19 -> 20 [size =\"42738688\"]\n  20 [size=\"51501056\", alpha=\"0.09\", expect_size=\"25750528\"] \n  20 -> 21 [size =\"25750528\"]\n  21 [size=\"26466304\", alpha=\"0.20\", expect_size=\"13233152\"] \n  21 -> 22 [size =\"13233152\"]\n  22 [size=\"52811776\", alpha=\"0.00\", expect_size=\"26405888\"] \n  22 -> 23 [size =\"26405888\"]\n  23 [size=\"36689920\", alpha=\"0.09\", expect_size=\"18344960\"] \n  23 -> 24 [size =\"18344960\"]\n  24 [size=\"38105088\", alpha=\"0.10\", expect_size=\"19052544\"] \n  24 -> 25 [size =\"19052544\"]\n  25 [size=\"16246784\", alpha=\"0.12\", expect_size=\"8123392\"] \n  25 -> 26 [size =\"8123392\"]\n  26 [size=\"76763136\", alpha=\"0.11\", expect_size=\"38381568\"] \n  26 -> 27 [size =\"38381568\"]\n  27 [size=\"53094400\", alpha=\"0.06\", expect_size=\"26547200\"] \n  27 -> 28 [size =\"26547200\"]\n  28 [size=\"26648576\", alpha=\"0.14\", expect_size=\"13324288\"] \n  28 -> 29 [size =\"13324288\"]\n  29 [size=\"65753088\", alpha=\"0.10\", expect_size=\"32876544\"] \n  29 -> 30 [size =\"32876544\"]\n  30 [size=\"71524352\", alpha=\"0.18\", expect_size=\"35762176\"] \n  30 -> 31 [size =\"35762176\"]\n  31 [size=\"18085888\", alpha=\"0.19\", expect_size=\"9042944\"] \n  31 -> 32 [size =\"9042944\"]\n  32 [size=\"18024448\", alpha=\"0.16\", expect_size=\"9012224\"] \n  32 -> 33 [size =\"9012224\"]\n  33 [size=\"19273728\", alpha=\"0.15\", expect_size=\"9636864\"] \n  33 -> 34 [size =\"9636864\"]\n  34 [size=\"64092160\", alpha=\"0.11\", expect_size=\"32046080\"] \n  34 -> 35 [size =\"32046080\"]\n  35 [size=\"15929344\", alpha=\"0.02\", expect_size=\"7964672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18669568\", alpha=\"0.17\", expect_size=\"9334784\"] \n  1 -> 20 [size =\"9334784\"]\n  1 -> 21 [size =\"9334784\"]\n  1 -> 24 [size =\"9334784\"]\n  1 -> 26 [size =\"9334784\"]\n  1 -> 26 [size =\"9334784\"]\n  1 -> 28 [size =\"9334784\"]\n  1 -> 29 [size =\"9334784\"]\n  1 -> 31 [size =\"9334784\"]\n  1 -> 32 [size =\"9334784\"]\n  1 -> 34 [size =\"9334784\"]\n  2 [size=\"47159296\", alpha=\"0.07\", expect_size=\"23579648\"] \n  2 -> 19 [size =\"23579648\"]\n  2 -> 20 [size =\"23579648\"]\n  2 -> 21 [size =\"23579648\"]\n  2 -> 22 [size =\"23579648\"]\n  2 -> 25 [size =\"23579648\"]\n  2 -> 26 [size =\"23579648\"]\n  2 -> 28 [size =\"23579648\"]\n  2 -> 29 [size =\"23579648\"]\n  2 -> 32 [size =\"23579648\"]\n  2 -> 34 [size =\"23579648\"]\n  3 [size=\"68368384\", alpha=\"0.10\", expect_size=\"34184192\"] \n  3 -> 20 [size =\"34184192\"]\n  3 -> 20 [size =\"34184192\"]\n  3 -> 26 [size =\"34184192\"]\n  3 -> 29 [size =\"34184192\"]\n  3 -> 32 [size =\"34184192\"]\n  3 -> 34 [size =\"34184192\"]\n  4 [size=\"53508096\", alpha=\"0.04\", expect_size=\"26754048\"] \n  4 -> 22 [size =\"26754048\"]\n  4 -> 26 [size =\"26754048\"]\n  4 -> 26 [size =\"26754048\"]\n  4 -> 27 [size =\"26754048\"]\n  4 -> 28 [size =\"26754048\"]\n  4 -> 31 [size =\"26754048\"]\n  4 -> 33 [size =\"26754048\"]\n  5 [size=\"62052352\", alpha=\"0.08\", expect_size=\"31026176\"] \n  5 -> 20 [size =\"31026176\"]\n  5 -> 22 [size =\"31026176\"]\n  5 -> 24 [size =\"31026176\"]\n  5 -> 25 [size =\"31026176\"]\n  5 -> 27 [size =\"31026176\"]\n  5 -> 28 [size =\"31026176\"]\n  6 [size=\"71170048\", alpha=\"0.11\", expect_size=\"35585024\"] \n  6 -> 21 [size =\"35585024\"]\n  6 -> 25 [size =\"35585024\"]\n  6 -> 26 [size =\"35585024\"]\n  6 -> 27 [size =\"35585024\"]\n  6 -> 27 [size =\"35585024\"]\n  6 -> 28 [size =\"35585024\"]\n  6 -> 29 [size =\"35585024\"]\n  6 -> 30 [size =\"35585024\"]\n  6 -> 32 [size =\"35585024\"]\n  6 -> 34 [size =\"35585024\"]\n  7 [size=\"45791232\", alpha=\"0.09\", expect_size=\"22895616\"] \n  7 -> 26 [size =\"22895616\"]\n  7 -> 27 [size =\"22895616\"]\n  7 -> 28 [size =\"22895616\"]\n  7 -> 30 [size =\"22895616\"]\n  7 -> 32 [size =\"22895616\"]\n  7 -> 35 [size =\"22895616\"]\n  8 [size=\"19761152\", alpha=\"0.16\", expect_size=\"9880576\"] \n  8 -> 20 [size =\"9880576\"]\n  8 -> 21 [size =\"9880576\"]\n  8 -> 24 [size =\"9880576\"]\n  8 -> 25 [size =\"9880576\"]\n  8 -> 26 [size =\"9880576\"]\n  8 -> 27 [size =\"9880576\"]\n  8 -> 28 [size =\"9880576\"]\n  8 -> 29 [size =\"9880576\"]\n  8 -> 31 [size =\"9880576\"]\n  8 -> 32 [size =\"9880576\"]\n  9 [size=\"70522880\", alpha=\"0.08\", expect_size=\"35261440\"] \n  9 -> 20 [size =\"35261440\"]\n  9 -> 22 [size =\"35261440\"]\n  9 -> 23 [size =\"35261440\"]\n  9 -> 25 [size =\"35261440\"]\n  9 -> 27 [size =\"35261440\"]\n  9 -> 28 [size =\"35261440\"]\n  9 -> 28 [size =\"35261440\"]\n  9 -> 29 [size =\"35261440\"]\n  9 -> 32 [size =\"35261440\"]\n  9 -> 32 [size =\"35261440\"]\n  10 [size=\"64419840\", alpha=\"0.13\", expect_size=\"32209920\"] \n  10 -> 19 [size =\"32209920\"]\n  10 -> 21 [size =\"32209920\"]\n  10 -> 23 [size =\"32209920\"]\n  10 -> 25 [size =\"32209920\"]\n  10 -> 29 [size =\"32209920\"]\n  10 -> 30 [size =\"32209920\"]\n  10 -> 31 [size =\"32209920\"]\n  10 -> 32 [size =\"32209920\"]\n  10 -> 32 [size =\"32209920\"]\n  10 -> 35 [size =\"32209920\"]\n  11 [size=\"26542080\", alpha=\"0.10\", expect_size=\"13271040\"] \n  11 -> 20 [size =\"13271040\"]\n  11 -> 21 [size =\"13271040\"]\n  11 -> 22 [size =\"13271040\"]\n  11 -> 23 [size =\"13271040\"]\n  11 -> 26 [size =\"13271040\"]\n  11 -> 27 [size =\"13271040\"]\n  11 -> 28 [size =\"13271040\"]\n  11 -> 29 [size =\"13271040\"]\n  11 -> 30 [size =\"13271040\"]\n  11 -> 31 [size =\"13271040\"]\n  11 -> 35 [size =\"13271040\"]\n  12 [size=\"10887168\", alpha=\"0.20\", expect_size=\"5443584\"] \n  12 -> 20 [size =\"5443584\"]\n  12 -> 21 [size =\"5443584\"]\n  12 -> 22 [size =\"5443584\"]\n  12 -> 23 [size =\"5443584\"]\n  12 -> 24 [size =\"5443584\"]\n  12 -> 26 [size =\"5443584\"]\n  12 -> 27 [size =\"5443584\"]\n  12 -> 29 [size =\"5443584\"]\n  12 -> 30 [size =\"5443584\"]\n  12 -> 31 [size =\"5443584\"]\n  12 -> 32 [size =\"5443584\"]\n  13 [size=\"43347968\", alpha=\"0.15\", expect_size=\"21673984\"] \n  13 -> 20 [size =\"21673984\"]\n  13 -> 21 [size =\"21673984\"]\n  13 -> 26 [size =\"21673984\"]\n  13 -> 27 [size =\"21673984\"]\n  13 -> 28 [size =\"21673984\"]\n  13 -> 29 [size =\"21673984\"]\n  13 -> 31 [size =\"21673984\"]\n  13 -> 32 [size =\"21673984\"]\n  14 [size=\"92141568\", alpha=\"0.07\", expect_size=\"46070784\"] \n  14 -> 20 [size =\"46070784\"]\n  14 -> 21 [size =\"46070784\"]\n  14 -> 25 [size =\"46070784\"]\n  14 -> 27 [size =\"46070784\"]\n  14 -> 28 [size =\"46070784\"]\n  14 -> 29 [size =\"46070784\"]\n  14 -> 31 [size =\"46070784\"]\n  14 -> 32 [size =\"46070784\"]\n  14 -> 33 [size =\"46070784\"]\n  14 -> 34 [size =\"46070784\"]\n  15 [size=\"17315840\", alpha=\"0.03\", expect_size=\"8657920\"] \n  15 -> 19 [size =\"8657920\"]\n  15 -> 20 [size =\"8657920\"]\n  15 -> 21 [size =\"8657920\"]\n  15 -> 22 [size =\"8657920\"]\n  15 -> 23 [size =\"8657920\"]\n  15 -> 27 [size =\"8657920\"]\n  15 -> 28 [size =\"8657920\"]\n  15 -> 29 [size =\"8657920\"]\n  15 -> 31 [size =\"8657920\"]\n  16 [size=\"55672832\", alpha=\"0.14\", expect_size=\"27836416\"] \n  16 -> 20 [size =\"27836416\"]\n  16 -> 21 [size =\"27836416\"]\n  16 -> 21 [size =\"27836416\"]\n  16 -> 25 [size =\"27836416\"]\n  16 -> 26 [size =\"27836416\"]\n  16 -> 28 [size =\"27836416\"]\n  16 -> 29 [size =\"27836416\"]\n  16 -> 30 [size =\"27836416\"]\n  16 -> 31 [size =\"27836416\"]\n  17 [size=\"11866112\", alpha=\"0.19\", expect_size=\"5933056\"] \n  17 -> 20 [size =\"5933056\"]\n  17 -> 21 [size =\"5933056\"]\n  17 -> 26 [size =\"5933056\"]\n  17 -> 29 [size =\"5933056\"]\n  17 -> 31 [size =\"5933056\"]\n  17 -> 32 [size =\"5933056\"]\n  18 [size=\"52473856\", alpha=\"0.01\", expect_size=\"26236928\"] \n  18 -> 20 [size =\"26236928\"]\n  18 -> 21 [size =\"26236928\"]\n  18 -> 23 [size =\"26236928\"]\n  18 -> 25 [size =\"26236928\"]\n  18 -> 26 [size =\"26236928\"]\n  18 -> 28 [size =\"26236928\"]\n  18 -> 29 [size =\"26236928\"]\n  18 -> 32 [size =\"26236928\"]\n  18 -> 34 [size =\"26236928\"]\n  18 -> 35 [size =\"26236928\"]\n  19 [size=\"31309824\", alpha=\"0.20\", expect_size=\"15654912\"] \n  20 [size=\"67354624\", alpha=\"0.07\", expect_size=\"33677312\"] \n  21 [size=\"36069376\", alpha=\"0.15\", expect_size=\"18034688\"] \n  22 [size=\"84330496\", alpha=\"0.11\", expect_size=\"42165248\"] \n  23 [size=\"82239488\", alpha=\"0.20\", expect_size=\"41119744\"] \n  24 [size=\"57985024\", alpha=\"0.17\", expect_size=\"28992512\"] \n  25 [size=\"91568128\", alpha=\"0.06\", expect_size=\"45784064\"] \n  26 [size=\"11188224\", alpha=\"0.07\", expect_size=\"5594112\"] \n  27 [size=\"77494272\", alpha=\"0.16\", expect_size=\"38747136\"] \n  28 [size=\"72693760\", alpha=\"0.07\", expect_size=\"36346880\"] \n  29 [size=\"78403584\", alpha=\"0.10\", expect_size=\"39201792\"] \n  30 [size=\"77668352\", alpha=\"0.05\", expect_size=\"38834176\"] \n  31 [size=\"14034944\", alpha=\"0.03\", expect_size=\"7017472\"] \n  32 [size=\"84430848\", alpha=\"0.02\", expect_size=\"42215424\"] \n  33 [size=\"42416128\", alpha=\"0.07\", expect_size=\"21208064\"] \n  34 [size=\"40247296\", alpha=\"0.10\", expect_size=\"20123648\"] \n  35 [size=\"26574848\", alpha=\"0.14\", expect_size=\"13287424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112693760\", alpha=\"0.12\", expect_size=\"45077504\"] \n  1 -> 2 [size =\"45077504\"]\n  2 [size=\"42053120\", alpha=\"0.17\", expect_size=\"16821248\"] \n  2 -> 3 [size =\"16821248\"]\n  3 [size=\"81694720\", alpha=\"0.02\", expect_size=\"32677888\"] \n  3 -> 4 [size =\"32677888\"]\n  4 [size=\"82567680\", alpha=\"0.06\", expect_size=\"33027072\"] \n  4 -> 5 [size =\"33027072\"]\n  4 -> 6 [size =\"33027072\"]\n  5 [size=\"22182400\", alpha=\"0.02\", expect_size=\"8872960\"] \n  5 -> 7 [size =\"8872960\"]\n  5 -> 8 [size =\"8872960\"]\n  6 [size=\"104110080\", alpha=\"0.17\", expect_size=\"41644032\"] \n  6 -> 7 [size =\"41644032\"]\n  6 -> 8 [size =\"41644032\"]\n  7 [size=\"97228800\", alpha=\"0.12\", expect_size=\"38891520\"] \n  7 -> 9 [size =\"38891520\"]\n  8 [size=\"88263680\", alpha=\"0.03\", expect_size=\"35305472\"] \n  8 -> 9 [size =\"35305472\"]\n  8 -> 10 [size =\"35305472\"]\n  9 [size=\"55426560\", alpha=\"0.07\", expect_size=\"22170624\"] \n  9 -> 11 [size =\"22170624\"]\n  9 -> 12 [size =\"22170624\"]\n  10 [size=\"108797440\", alpha=\"0.17\", expect_size=\"43518976\"] \n  10 -> 12 [size =\"43518976\"]\n  11 [size=\"93286400\", alpha=\"0.04\", expect_size=\"37314560\"] \n  11 -> 14 [size =\"37314560\"]\n  12 [size=\"44454400\", alpha=\"0.05\", expect_size=\"17781760\"] \n  12 -> 13 [size =\"17781760\"]\n  12 -> 14 [size =\"17781760\"]\n  13 [size=\"25607680\", alpha=\"0.19\", expect_size=\"10243072\"] \n  13 -> 15 [size =\"10243072\"]\n  13 -> 16 [size =\"10243072\"]\n  14 [size=\"35668480\", alpha=\"0.02\", expect_size=\"14267392\"] \n  14 -> 16 [size =\"14267392\"]\n  15 [size=\"68641280\", alpha=\"0.18\", expect_size=\"27456512\"] \n  15 -> 17 [size =\"27456512\"]\n  15 -> 18 [size =\"27456512\"]\n  16 [size=\"81858560\", alpha=\"0.13\", expect_size=\"32743424\"] \n  16 -> 17 [size =\"32743424\"]\n  16 -> 18 [size =\"32743424\"]\n  17 [size=\"62830080\", alpha=\"0.20\", expect_size=\"25132032\"] \n  17 -> 19 [size =\"25132032\"]\n  17 -> 20 [size =\"25132032\"]\n  18 [size=\"18088960\", alpha=\"0.12\", expect_size=\"7235584\"] \n  18 -> 20 [size =\"7235584\"]\n  19 [size=\"36103680\", alpha=\"0.20\", expect_size=\"14441472\"] \n  19 -> 21 [size =\"14441472\"]\n  19 -> 22 [size =\"14441472\"]\n  20 [size=\"74636800\", alpha=\"0.15\", expect_size=\"29854720\"] \n  20 -> 21 [size =\"29854720\"]\n  20 -> 22 [size =\"29854720\"]\n  21 [size=\"56688640\", alpha=\"0.07\", expect_size=\"22675456\"] \n  21 -> 23 [size =\"22675456\"]\n  22 [size=\"79198720\", alpha=\"0.04\", expect_size=\"31679488\"] \n  23 [size=\"108582400\", alpha=\"0.12\", expect_size=\"43432960\"] \n  23 -> 24 [size =\"43432960\"]\n  23 -> 25 [size =\"43432960\"]\n  24 [size=\"102819840\", alpha=\"0.13\", expect_size=\"41127936\"] \n  24 -> 26 [size =\"41127936\"]\n  24 -> 27 [size =\"41127936\"]\n  25 [size=\"112081920\", alpha=\"0.15\", expect_size=\"44832768\"] \n  25 -> 26 [size =\"44832768\"]\n  26 [size=\"101340160\", alpha=\"0.12\", expect_size=\"40536064\"] \n  26 -> 29 [size =\"40536064\"]\n  27 [size=\"62978560\", alpha=\"0.04\", expect_size=\"25191424\"] \n  27 -> 28 [size =\"25191424\"]\n  27 -> 29 [size =\"25191424\"]\n  28 [size=\"60472320\", alpha=\"0.08\", expect_size=\"24188928\"] \n  28 -> 30 [size =\"24188928\"]\n  29 [size=\"130839040\", alpha=\"0.19\", expect_size=\"52335616\"] \n  30 [size=\"129459200\", alpha=\"0.07\", expect_size=\"51783680\"] \n  30 -> 31 [size =\"51783680\"]\n  31 [size=\"99461120\", alpha=\"0.08\", expect_size=\"39784448\"] \n  31 -> 32 [size =\"39784448\"]\n  32 [size=\"22471680\", alpha=\"0.15\", expect_size=\"8988672\"] \n  32 -> 33 [size =\"8988672\"]\n  32 -> 34 [size =\"8988672\"]\n  33 [size=\"45401600\", alpha=\"0.04\", expect_size=\"18160640\"] \n  33 -> 35 [size =\"18160640\"]\n  34 [size=\"118873600\", alpha=\"0.16\", expect_size=\"47549440\"] \n  34 -> 35 [size =\"47549440\"]\n  35 [size=\"76418560\", alpha=\"0.18\", expect_size=\"30567424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86499840\", alpha=\"0.15\", expect_size=\"34599936\"] \n  1 -> 14 [size =\"34599936\"]\n  1 -> 16 [size =\"34599936\"]\n  1 -> 18 [size =\"34599936\"]\n  1 -> 19 [size =\"34599936\"]\n  1 -> 21 [size =\"34599936\"]\n  1 -> 22 [size =\"34599936\"]\n  1 -> 23 [size =\"34599936\"]\n  1 -> 24 [size =\"34599936\"]\n  1 -> 25 [size =\"34599936\"]\n  1 -> 26 [size =\"34599936\"]\n  2 [size=\"61370880\", alpha=\"0.17\", expect_size=\"24548352\"] \n  2 -> 17 [size =\"24548352\"]\n  2 -> 19 [size =\"24548352\"]\n  2 -> 21 [size =\"24548352\"]\n  2 -> 22 [size =\"24548352\"]\n  2 -> 26 [size =\"24548352\"]\n  3 [size=\"25159680\", alpha=\"0.12\", expect_size=\"10063872\"] \n  3 -> 15 [size =\"10063872\"]\n  3 -> 16 [size =\"10063872\"]\n  3 -> 18 [size =\"10063872\"]\n  3 -> 19 [size =\"10063872\"]\n  3 -> 21 [size =\"10063872\"]\n  3 -> 22 [size =\"10063872\"]\n  3 -> 26 [size =\"10063872\"]\n  4 [size=\"38604800\", alpha=\"0.00\", expect_size=\"15441920\"] \n  4 -> 18 [size =\"15441920\"]\n  4 -> 21 [size =\"15441920\"]\n  4 -> 24 [size =\"15441920\"]\n  4 -> 26 [size =\"15441920\"]\n  5 [size=\"87255040\", alpha=\"0.04\", expect_size=\"34902016\"] \n  5 -> 17 [size =\"34902016\"]\n  5 -> 18 [size =\"34902016\"]\n  5 -> 22 [size =\"34902016\"]\n  5 -> 24 [size =\"34902016\"]\n  5 -> 25 [size =\"34902016\"]\n  5 -> 26 [size =\"34902016\"]\n  6 [size=\"51384320\", alpha=\"0.13\", expect_size=\"20553728\"] \n  6 -> 16 [size =\"20553728\"]\n  6 -> 17 [size =\"20553728\"]\n  6 -> 18 [size =\"20553728\"]\n  6 -> 19 [size =\"20553728\"]\n  6 -> 22 [size =\"20553728\"]\n  6 -> 24 [size =\"20553728\"]\n  6 -> 25 [size =\"20553728\"]\n  7 [size=\"67407360\", alpha=\"0.02\", expect_size=\"26962944\"] \n  7 -> 16 [size =\"26962944\"]\n  7 -> 17 [size =\"26962944\"]\n  7 -> 18 [size =\"26962944\"]\n  7 -> 19 [size =\"26962944\"]\n  7 -> 20 [size =\"26962944\"]\n  7 -> 22 [size =\"26962944\"]\n  7 -> 23 [size =\"26962944\"]\n  7 -> 25 [size =\"26962944\"]\n  8 [size=\"16171520\", alpha=\"0.09\", expect_size=\"6468608\"] \n  8 -> 16 [size =\"6468608\"]\n  8 -> 17 [size =\"6468608\"]\n  8 -> 18 [size =\"6468608\"]\n  8 -> 19 [size =\"6468608\"]\n  8 -> 21 [size =\"6468608\"]\n  8 -> 22 [size =\"6468608\"]\n  8 -> 23 [size =\"6468608\"]\n  8 -> 26 [size =\"6468608\"]\n  9 [size=\"37775360\", alpha=\"0.16\", expect_size=\"15110144\"] \n  9 -> 16 [size =\"15110144\"]\n  9 -> 17 [size =\"15110144\"]\n  9 -> 18 [size =\"15110144\"]\n  9 -> 21 [size =\"15110144\"]\n  9 -> 22 [size =\"15110144\"]\n  9 -> 23 [size =\"15110144\"]\n  9 -> 23 [size =\"15110144\"]\n  10 [size=\"47546880\", alpha=\"0.11\", expect_size=\"19018752\"] \n  10 -> 14 [size =\"19018752\"]\n  10 -> 17 [size =\"19018752\"]\n  10 -> 18 [size =\"19018752\"]\n  10 -> 22 [size =\"19018752\"]\n  11 [size=\"23467520\", alpha=\"0.13\", expect_size=\"9387008\"] \n  11 -> 15 [size =\"9387008\"]\n  11 -> 17 [size =\"9387008\"]\n  11 -> 18 [size =\"9387008\"]\n  11 -> 21 [size =\"9387008\"]\n  11 -> 22 [size =\"9387008\"]\n  11 -> 23 [size =\"9387008\"]\n  11 -> 24 [size =\"9387008\"]\n  11 -> 26 [size =\"9387008\"]\n  12 [size=\"114319360\", alpha=\"0.03\", expect_size=\"45727744\"] \n  12 -> 17 [size =\"45727744\"]\n  12 -> 17 [size =\"45727744\"]\n  12 -> 19 [size =\"45727744\"]\n  12 -> 21 [size =\"45727744\"]\n  12 -> 22 [size =\"45727744\"]\n  12 -> 23 [size =\"45727744\"]\n  12 -> 24 [size =\"45727744\"]\n  12 -> 25 [size =\"45727744\"]\n  13 [size=\"94643200\", alpha=\"0.04\", expect_size=\"37857280\"] \n  13 -> 16 [size =\"37857280\"]\n  13 -> 19 [size =\"37857280\"]\n  13 -> 19 [size =\"37857280\"]\n  13 -> 22 [size =\"37857280\"]\n  13 -> 25 [size =\"37857280\"]\n  13 -> 26 [size =\"37857280\"]\n  14 [size=\"47569920\", alpha=\"0.12\", expect_size=\"19027968\"] \n  14 -> 30 [size =\"19027968\"]\n  14 -> 31 [size =\"19027968\"]\n  14 -> 32 [size =\"19027968\"]\n  14 -> 33 [size =\"19027968\"]\n  14 -> 34 [size =\"19027968\"]\n  14 -> 35 [size =\"19027968\"]\n  15 [size=\"48724480\", alpha=\"0.05\", expect_size=\"19489792\"] \n  15 -> 28 [size =\"19489792\"]\n  15 -> 30 [size =\"19489792\"]\n  15 -> 33 [size =\"19489792\"]\n  15 -> 34 [size =\"19489792\"]\n  15 -> 34 [size =\"19489792\"]\n  15 -> 35 [size =\"19489792\"]\n  16 [size=\"71895040\", alpha=\"0.19\", expect_size=\"28758016\"] \n  16 -> 30 [size =\"28758016\"]\n  16 -> 33 [size =\"28758016\"]\n  16 -> 34 [size =\"28758016\"]\n  16 -> 35 [size =\"28758016\"]\n  17 [size=\"31687680\", alpha=\"0.03\", expect_size=\"12675072\"] \n  17 -> 28 [size =\"12675072\"]\n  17 -> 32 [size =\"12675072\"]\n  17 -> 34 [size =\"12675072\"]\n  17 -> 35 [size =\"12675072\"]\n  18 [size=\"40826880\", alpha=\"0.07\", expect_size=\"16330752\"] \n  18 -> 27 [size =\"16330752\"]\n  18 -> 28 [size =\"16330752\"]\n  18 -> 29 [size =\"16330752\"]\n  18 -> 30 [size =\"16330752\"]\n  18 -> 32 [size =\"16330752\"]\n  18 -> 34 [size =\"16330752\"]\n  19 [size=\"96138240\", alpha=\"0.12\", expect_size=\"38455296\"] \n  19 -> 27 [size =\"38455296\"]\n  19 -> 28 [size =\"38455296\"]\n  20 [size=\"74813440\", alpha=\"0.11\", expect_size=\"29925376\"] \n  20 -> 28 [size =\"29925376\"]\n  20 -> 30 [size =\"29925376\"]\n  20 -> 34 [size =\"29925376\"]\n  21 [size=\"23933440\", alpha=\"0.03\", expect_size=\"9573376\"] \n  21 -> 30 [size =\"9573376\"]\n  22 [size=\"99095040\", alpha=\"0.03\", expect_size=\"39638016\"] \n  22 -> 28 [size =\"39638016\"]\n  22 -> 30 [size =\"39638016\"]\n  22 -> 34 [size =\"39638016\"]\n  23 [size=\"117872640\", alpha=\"0.05\", expect_size=\"47149056\"] \n  23 -> 27 [size =\"47149056\"]\n  23 -> 28 [size =\"47149056\"]\n  23 -> 34 [size =\"47149056\"]\n  24 [size=\"24880640\", alpha=\"0.11\", expect_size=\"9952256\"] \n  24 -> 27 [size =\"9952256\"]\n  24 -> 28 [size =\"9952256\"]\n  24 -> 33 [size =\"9952256\"]\n  24 -> 34 [size =\"9952256\"]\n  25 [size=\"98388480\", alpha=\"0.10\", expect_size=\"39355392\"] \n  25 -> 28 [size =\"39355392\"]\n  25 -> 28 [size =\"39355392\"]\n  25 -> 33 [size =\"39355392\"]\n  25 -> 34 [size =\"39355392\"]\n  25 -> 35 [size =\"39355392\"]\n  26 [size=\"128222720\", alpha=\"0.16\", expect_size=\"51289088\"] \n  26 -> 28 [size =\"51289088\"]\n  26 -> 30 [size =\"51289088\"]\n  26 -> 32 [size =\"51289088\"]\n  26 -> 35 [size =\"51289088\"]\n  26 -> 35 [size =\"51289088\"]\n  27 [size=\"120256000\", alpha=\"0.10\", expect_size=\"48102400\"] \n  28 [size=\"22338560\", alpha=\"0.05\", expect_size=\"8935424\"] \n  29 [size=\"64599040\", alpha=\"0.05\", expect_size=\"25839616\"] \n  30 [size=\"17994240\", alpha=\"0.10\", expect_size=\"7197696\"] \n  31 [size=\"85312000\", alpha=\"0.17\", expect_size=\"34124800\"] \n  32 [size=\"104023040\", alpha=\"0.01\", expect_size=\"41609216\"] \n  33 [size=\"122385920\", alpha=\"0.18\", expect_size=\"48954368\"] \n  34 [size=\"34496000\", alpha=\"0.02\", expect_size=\"13798400\"] \n  35 [size=\"101772800\", alpha=\"0.12\", expect_size=\"40709120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159283200\", alpha=\"0.09\", expect_size=\"47784960\"] \n  1 -> 27 [size =\"47784960\"]\n  2 [size=\"129505280\", alpha=\"0.02\", expect_size=\"38851584\"] \n  3 [size=\"166075733\", alpha=\"0.01\", expect_size=\"49822720\"] \n  3 -> 25 [size =\"49822720\"]\n  3 -> 27 [size =\"49822720\"]\n  3 -> 29 [size =\"49822720\"]\n  3 -> 34 [size =\"49822720\"]\n  4 [size=\"84398080\", alpha=\"0.10\", expect_size=\"25319424\"] \n  4 -> 31 [size =\"25319424\"]\n  4 -> 32 [size =\"25319424\"]\n  5 [size=\"173813760\", alpha=\"0.10\", expect_size=\"52144128\"] \n  5 -> 26 [size =\"52144128\"]\n  5 -> 30 [size =\"52144128\"]\n  5 -> 35 [size =\"52144128\"]\n  6 [size=\"131703467\", alpha=\"0.00\", expect_size=\"39511040\"] \n  6 -> 24 [size =\"39511040\"]\n  6 -> 32 [size =\"39511040\"]\n  6 -> 35 [size =\"39511040\"]\n  7 [size=\"65536000\", alpha=\"0.13\", expect_size=\"19660800\"] \n  7 -> 24 [size =\"19660800\"]\n  7 -> 31 [size =\"19660800\"]\n  7 -> 32 [size =\"19660800\"]\n  7 -> 35 [size =\"19660800\"]\n  8 [size=\"68116480\", alpha=\"0.13\", expect_size=\"20434944\"] \n  8 -> 24 [size =\"20434944\"]\n  8 -> 27 [size =\"20434944\"]\n  9 [size=\"79032320\", alpha=\"0.09\", expect_size=\"23709696\"] \n  9 -> 24 [size =\"23709696\"]\n  9 -> 25 [size =\"23709696\"]\n  9 -> 26 [size =\"23709696\"]\n  9 -> 27 [size =\"23709696\"]\n  10 [size=\"167028053\", alpha=\"0.18\", expect_size=\"50108416\"] \n  10 -> 25 [size =\"50108416\"]\n  10 -> 32 [size =\"50108416\"]\n  11 [size=\"100464640\", alpha=\"0.03\", expect_size=\"30139392\"] \n  11 -> 26 [size =\"30139392\"]\n  11 -> 34 [size =\"30139392\"]\n  12 [size=\"169362773\", alpha=\"0.05\", expect_size=\"50808832\"] \n  12 -> 25 [size =\"50808832\"]\n  12 -> 30 [size =\"50808832\"]\n  13 [size=\"30006613\", alpha=\"0.01\", expect_size=\"9001984\"] \n  13 -> 25 [size =\"9001984\"]\n  13 -> 27 [size =\"9001984\"]\n  14 [size=\"41622187\", alpha=\"0.11\", expect_size=\"12486656\"] \n  14 -> 24 [size =\"12486656\"]\n  14 -> 26 [size =\"12486656\"]\n  14 -> 33 [size =\"12486656\"]\n  14 -> 34 [size =\"12486656\"]\n  15 [size=\"123095040\", alpha=\"0.02\", expect_size=\"36928512\"] \n  15 -> 25 [size =\"36928512\"]\n  15 -> 33 [size =\"36928512\"]\n  16 [size=\"43922773\", alpha=\"0.17\", expect_size=\"13176832\"] \n  16 -> 24 [size =\"13176832\"]\n  16 -> 33 [size =\"13176832\"]\n  17 [size=\"45141333\", alpha=\"0.08\", expect_size=\"13542400\"] \n  17 -> 26 [size =\"13542400\"]\n  17 -> 27 [size =\"13542400\"]\n  17 -> 33 [size =\"13542400\"]\n  17 -> 35 [size =\"13542400\"]\n  18 [size=\"147152213\", alpha=\"0.08\", expect_size=\"44145664\"] \n  18 -> 26 [size =\"44145664\"]\n  18 -> 27 [size =\"44145664\"]\n  18 -> 29 [size =\"44145664\"]\n  18 -> 30 [size =\"44145664\"]\n  18 -> 31 [size =\"44145664\"]\n  18 -> 34 [size =\"44145664\"]\n  19 [size=\"92644693\", alpha=\"0.10\", expect_size=\"27793408\"] \n  19 -> 25 [size =\"27793408\"]\n  19 -> 30 [size =\"27793408\"]\n  20 [size=\"161781760\", alpha=\"0.11\", expect_size=\"48534528\"] \n  20 -> 24 [size =\"48534528\"]\n  20 -> 25 [size =\"48534528\"]\n  20 -> 26 [size =\"48534528\"]\n  20 -> 28 [size =\"48534528\"]\n  20 -> 30 [size =\"48534528\"]\n  20 -> 32 [size =\"48534528\"]\n  20 -> 34 [size =\"48534528\"]\n  21 [size=\"142400853\", alpha=\"0.09\", expect_size=\"42720256\"] \n  21 -> 25 [size =\"42720256\"]\n  21 -> 27 [size =\"42720256\"]\n  21 -> 34 [size =\"42720256\"]\n  22 [size=\"164536320\", alpha=\"0.02\", expect_size=\"49360896\"] \n  22 -> 25 [size =\"49360896\"]\n  22 -> 27 [size =\"49360896\"]\n  23 [size=\"50295467\", alpha=\"0.14\", expect_size=\"15088640\"] \n  23 -> 24 [size =\"15088640\"]\n  23 -> 26 [size =\"15088640\"]\n  23 -> 27 [size =\"15088640\"]\n  23 -> 28 [size =\"15088640\"]\n  24 [size=\"57719467\", alpha=\"0.14\", expect_size=\"17315840\"] \n  25 [size=\"147087360\", alpha=\"0.14\", expect_size=\"44126208\"] \n  26 [size=\"165727573\", alpha=\"0.09\", expect_size=\"49718272\"] \n  27 [size=\"139349333\", alpha=\"0.09\", expect_size=\"41804800\"] \n  28 [size=\"45653333\", alpha=\"0.17\", expect_size=\"13696000\"] \n  29 [size=\"107475627\", alpha=\"0.12\", expect_size=\"32242688\"] \n  30 [size=\"28388693\", alpha=\"0.06\", expect_size=\"8516608\"] \n  31 [size=\"111049387\", alpha=\"0.10\", expect_size=\"33314816\"] \n  32 [size=\"25408853\", alpha=\"0.14\", expect_size=\"7622656\"] \n  33 [size=\"40785920\", alpha=\"0.20\", expect_size=\"12235776\"] \n  34 [size=\"148497067\", alpha=\"0.08\", expect_size=\"44549120\"] \n  35 [size=\"100887893\", alpha=\"0.10\", expect_size=\"30266368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95912960\", alpha=\"0.09\", expect_size=\"38365184\"] \n  1 -> 7 [size =\"38365184\"]\n  1 -> 8 [size =\"38365184\"]\n  1 -> 9 [size =\"38365184\"]\n  2 [size=\"23769600\", alpha=\"0.06\", expect_size=\"9507840\"] \n  2 -> 6 [size =\"9507840\"]\n  2 -> 7 [size =\"9507840\"]\n  2 -> 8 [size =\"9507840\"]\n  3 [size=\"86105600\", alpha=\"0.19\", expect_size=\"34442240\"] \n  4 [size=\"55198720\", alpha=\"0.12\", expect_size=\"22079488\"] \n  4 -> 7 [size =\"22079488\"]\n  5 [size=\"51806720\", alpha=\"0.14\", expect_size=\"20722688\"] \n  5 -> 8 [size =\"20722688\"]\n  5 -> 9 [size =\"20722688\"]\n  6 [size=\"19061760\", alpha=\"0.09\", expect_size=\"7624704\"] \n  6 -> 10 [size =\"7624704\"]\n  6 -> 12 [size =\"7624704\"]\n  7 [size=\"84828160\", alpha=\"0.10\", expect_size=\"33931264\"] \n  7 -> 14 [size =\"33931264\"]\n  8 [size=\"86254080\", alpha=\"0.15\", expect_size=\"34501632\"] \n  8 -> 11 [size =\"34501632\"]\n  9 [size=\"45376000\", alpha=\"0.05\", expect_size=\"18150400\"] \n  9 -> 12 [size =\"18150400\"]\n  9 -> 13 [size =\"18150400\"]\n  10 [size=\"92986880\", alpha=\"0.18\", expect_size=\"37194752\"] \n  10 -> 15 [size =\"37194752\"]\n  10 -> 17 [size =\"37194752\"]\n  11 [size=\"75804160\", alpha=\"0.19\", expect_size=\"30321664\"] \n  11 -> 16 [size =\"30321664\"]\n  12 [size=\"127956480\", alpha=\"0.04\", expect_size=\"51182592\"] \n  12 -> 16 [size =\"51182592\"]\n  13 [size=\"48064000\", alpha=\"0.04\", expect_size=\"19225600\"] \n  13 -> 17 [size =\"19225600\"]\n  13 -> 18 [size =\"19225600\"]\n  14 [size=\"44352000\", alpha=\"0.09\", expect_size=\"17740800\"] \n  14 -> 15 [size =\"17740800\"]\n  14 -> 16 [size =\"17740800\"]\n  14 -> 17 [size =\"17740800\"]\n  14 -> 18 [size =\"17740800\"]\n  15 [size=\"115013120\", alpha=\"0.08\", expect_size=\"46005248\"] \n  16 [size=\"77143040\", alpha=\"0.09\", expect_size=\"30857216\"] \n  16 -> 19 [size =\"30857216\"]\n  16 -> 20 [size =\"30857216\"]\n  16 -> 21 [size =\"30857216\"]\n  16 -> 24 [size =\"30857216\"]\n  17 [size=\"129768960\", alpha=\"0.05\", expect_size=\"51907584\"] \n  17 -> 19 [size =\"51907584\"]\n  17 -> 22 [size =\"51907584\"]\n  17 -> 23 [size =\"51907584\"]\n  18 [size=\"69923840\", alpha=\"0.06\", expect_size=\"27969536\"] \n  18 -> 23 [size =\"27969536\"]\n  19 [size=\"41290240\", alpha=\"0.16\", expect_size=\"16516096\"] \n  19 -> 25 [size =\"16516096\"]\n  20 [size=\"72325120\", alpha=\"0.01\", expect_size=\"28930048\"] \n  20 -> 25 [size =\"28930048\"]\n  20 -> 29 [size =\"28930048\"]\n  21 [size=\"62376960\", alpha=\"0.01\", expect_size=\"24950784\"] \n  21 -> 29 [size =\"24950784\"]\n  22 [size=\"58803200\", alpha=\"0.02\", expect_size=\"23521280\"] \n  22 -> 26 [size =\"23521280\"]\n  22 -> 27 [size =\"23521280\"]\n  23 [size=\"84382720\", alpha=\"0.16\", expect_size=\"33753088\"] \n  23 -> 28 [size =\"33753088\"]\n  24 [size=\"106949120\", alpha=\"0.17\", expect_size=\"42779648\"] \n  24 -> 26 [size =\"42779648\"]\n  24 -> 28 [size =\"42779648\"]\n  25 [size=\"41208320\", alpha=\"0.05\", expect_size=\"16483328\"] \n  25 -> 35 [size =\"16483328\"]\n  26 [size=\"87078400\", alpha=\"0.13\", expect_size=\"34831360\"] \n  26 -> 31 [size =\"34831360\"]\n  26 -> 32 [size =\"34831360\"]\n  27 [size=\"21954560\", alpha=\"0.14\", expect_size=\"8781824\"] \n  27 -> 34 [size =\"8781824\"]\n  28 [size=\"51752960\", alpha=\"0.07\", expect_size=\"20701184\"] \n  28 -> 30 [size =\"20701184\"]\n  28 -> 33 [size =\"20701184\"]\n  29 [size=\"89917440\", alpha=\"0.05\", expect_size=\"35966976\"] \n  29 -> 30 [size =\"35966976\"]\n  29 -> 31 [size =\"35966976\"]\n  29 -> 33 [size =\"35966976\"]\n  30 [size=\"65835520\", alpha=\"0.17\", expect_size=\"26334208\"] \n  31 [size=\"74380800\", alpha=\"0.20\", expect_size=\"29752320\"] \n  32 [size=\"80394240\", alpha=\"0.02\", expect_size=\"32157696\"] \n  33 [size=\"94545920\", alpha=\"0.10\", expect_size=\"37818368\"] \n  34 [size=\"71866880\", alpha=\"0.03\", expect_size=\"28746752\"] \n  35 [size=\"54451200\", alpha=\"0.14\", expect_size=\"21780480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14651392\", alpha=\"0.02\", expect_size=\"7325696\"] \n  1 -> 13 [size =\"7325696\"]\n  1 -> 14 [size =\"7325696\"]\n  1 -> 16 [size =\"7325696\"]\n  1 -> 17 [size =\"7325696\"]\n  1 -> 18 [size =\"7325696\"]\n  1 -> 22 [size =\"7325696\"]\n  2 [size=\"17731584\", alpha=\"0.03\", expect_size=\"8865792\"] \n  2 -> 12 [size =\"8865792\"]\n  2 -> 13 [size =\"8865792\"]\n  2 -> 14 [size =\"8865792\"]\n  2 -> 15 [size =\"8865792\"]\n  2 -> 21 [size =\"8865792\"]\n  2 -> 23 [size =\"8865792\"]\n  3 [size=\"21053440\", alpha=\"0.01\", expect_size=\"10526720\"] \n  3 -> 12 [size =\"10526720\"]\n  3 -> 13 [size =\"10526720\"]\n  3 -> 15 [size =\"10526720\"]\n  3 -> 21 [size =\"10526720\"]\n  3 -> 22 [size =\"10526720\"]\n  4 [size=\"69568512\", alpha=\"0.09\", expect_size=\"34784256\"] \n  4 -> 12 [size =\"34784256\"]\n  4 -> 13 [size =\"34784256\"]\n  4 -> 15 [size =\"34784256\"]\n  4 -> 18 [size =\"34784256\"]\n  4 -> 21 [size =\"34784256\"]\n  5 [size=\"94363648\", alpha=\"0.06\", expect_size=\"47181824\"] \n  5 -> 12 [size =\"47181824\"]\n  5 -> 15 [size =\"47181824\"]\n  5 -> 18 [size =\"47181824\"]\n  5 -> 21 [size =\"47181824\"]\n  5 -> 21 [size =\"47181824\"]\n  5 -> 22 [size =\"47181824\"]\n  5 -> 23 [size =\"47181824\"]\n  6 [size=\"56434688\", alpha=\"0.02\", expect_size=\"28217344\"] \n  6 -> 12 [size =\"28217344\"]\n  6 -> 14 [size =\"28217344\"]\n  6 -> 19 [size =\"28217344\"]\n  6 -> 21 [size =\"28217344\"]\n  6 -> 23 [size =\"28217344\"]\n  7 [size=\"37804032\", alpha=\"0.06\", expect_size=\"18902016\"] \n  7 -> 12 [size =\"18902016\"]\n  7 -> 14 [size =\"18902016\"]\n  7 -> 19 [size =\"18902016\"]\n  7 -> 20 [size =\"18902016\"]\n  7 -> 23 [size =\"18902016\"]\n  8 [size=\"48996352\", alpha=\"0.15\", expect_size=\"24498176\"] \n  8 -> 12 [size =\"24498176\"]\n  8 -> 14 [size =\"24498176\"]\n  8 -> 19 [size =\"24498176\"]\n  8 -> 20 [size =\"24498176\"]\n  8 -> 21 [size =\"24498176\"]\n  9 [size=\"47048704\", alpha=\"0.04\", expect_size=\"23524352\"] \n  9 -> 12 [size =\"23524352\"]\n  9 -> 13 [size =\"23524352\"]\n  9 -> 14 [size =\"23524352\"]\n  9 -> 15 [size =\"23524352\"]\n  9 -> 19 [size =\"23524352\"]\n  10 [size=\"57128960\", alpha=\"0.19\", expect_size=\"28564480\"] \n  10 -> 13 [size =\"28564480\"]\n  10 -> 13 [size =\"28564480\"]\n  10 -> 14 [size =\"28564480\"]\n  10 -> 15 [size =\"28564480\"]\n  10 -> 18 [size =\"28564480\"]\n  10 -> 19 [size =\"28564480\"]\n  11 [size=\"20568064\", alpha=\"0.12\", expect_size=\"10284032\"] \n  11 -> 14 [size =\"10284032\"]\n  11 -> 15 [size =\"10284032\"]\n  11 -> 18 [size =\"10284032\"]\n  11 -> 22 [size =\"10284032\"]\n  12 [size=\"29634560\", alpha=\"0.08\", expect_size=\"14817280\"] \n  12 -> 24 [size =\"14817280\"]\n  12 -> 25 [size =\"14817280\"]\n  12 -> 27 [size =\"14817280\"]\n  12 -> 29 [size =\"14817280\"]\n  12 -> 34 [size =\"14817280\"]\n  12 -> 35 [size =\"14817280\"]\n  13 [size=\"45430784\", alpha=\"0.10\", expect_size=\"22715392\"] \n  13 -> 26 [size =\"22715392\"]\n  13 -> 27 [size =\"22715392\"]\n  14 [size=\"52398080\", alpha=\"0.15\", expect_size=\"26199040\"] \n  14 -> 25 [size =\"26199040\"]\n  14 -> 26 [size =\"26199040\"]\n  14 -> 29 [size =\"26199040\"]\n  15 [size=\"95932416\", alpha=\"0.19\", expect_size=\"47966208\"] \n  15 -> 25 [size =\"47966208\"]\n  15 -> 26 [size =\"47966208\"]\n  15 -> 31 [size =\"47966208\"]\n  15 -> 32 [size =\"47966208\"]\n  16 [size=\"28397568\", alpha=\"0.12\", expect_size=\"14198784\"] \n  16 -> 25 [size =\"14198784\"]\n  16 -> 26 [size =\"14198784\"]\n  16 -> 28 [size =\"14198784\"]\n  16 -> 29 [size =\"14198784\"]\n  16 -> 30 [size =\"14198784\"]\n  16 -> 33 [size =\"14198784\"]\n  16 -> 35 [size =\"14198784\"]\n  17 [size=\"37476352\", alpha=\"0.12\", expect_size=\"18738176\"] \n  17 -> 24 [size =\"18738176\"]\n  17 -> 25 [size =\"18738176\"]\n  17 -> 28 [size =\"18738176\"]\n  17 -> 29 [size =\"18738176\"]\n  17 -> 32 [size =\"18738176\"]\n  18 [size=\"66521088\", alpha=\"0.13\", expect_size=\"33260544\"] \n  18 -> 24 [size =\"33260544\"]\n  18 -> 26 [size =\"33260544\"]\n  18 -> 28 [size =\"33260544\"]\n  18 -> 32 [size =\"33260544\"]\n  18 -> 34 [size =\"33260544\"]\n  19 [size=\"41216000\", alpha=\"0.19\", expect_size=\"20608000\"] \n  19 -> 28 [size =\"20608000\"]\n  19 -> 29 [size =\"20608000\"]\n  19 -> 30 [size =\"20608000\"]\n  19 -> 33 [size =\"20608000\"]\n  19 -> 34 [size =\"20608000\"]\n  20 [size=\"60815360\", alpha=\"0.13\", expect_size=\"30407680\"] \n  20 -> 26 [size =\"30407680\"]\n  20 -> 28 [size =\"30407680\"]\n  20 -> 33 [size =\"30407680\"]\n  21 [size=\"54847488\", alpha=\"0.07\", expect_size=\"27423744\"] \n  21 -> 24 [size =\"27423744\"]\n  21 -> 26 [size =\"27423744\"]\n  21 -> 27 [size =\"27423744\"]\n  21 -> 28 [size =\"27423744\"]\n  21 -> 31 [size =\"27423744\"]\n  21 -> 35 [size =\"27423744\"]\n  22 [size=\"18124800\", alpha=\"0.03\", expect_size=\"9062400\"] \n  22 -> 26 [size =\"9062400\"]\n  22 -> 28 [size =\"9062400\"]\n  22 -> 29 [size =\"9062400\"]\n  22 -> 32 [size =\"9062400\"]\n  22 -> 33 [size =\"9062400\"]\n  23 [size=\"56328192\", alpha=\"0.01\", expect_size=\"28164096\"] \n  23 -> 25 [size =\"28164096\"]\n  23 -> 26 [size =\"28164096\"]\n  23 -> 27 [size =\"28164096\"]\n  23 -> 28 [size =\"28164096\"]\n  23 -> 35 [size =\"28164096\"]\n  24 [size=\"10682368\", alpha=\"0.12\", expect_size=\"5341184\"] \n  25 [size=\"80619520\", alpha=\"0.01\", expect_size=\"40309760\"] \n  26 [size=\"77199360\", alpha=\"0.19\", expect_size=\"38599680\"] \n  27 [size=\"41187328\", alpha=\"0.03\", expect_size=\"20593664\"] \n  28 [size=\"95703040\", alpha=\"0.15\", expect_size=\"47851520\"] \n  29 [size=\"62455808\", alpha=\"0.15\", expect_size=\"31227904\"] \n  30 [size=\"58361856\", alpha=\"0.05\", expect_size=\"29180928\"] \n  31 [size=\"24012800\", alpha=\"0.17\", expect_size=\"12006400\"] \n  32 [size=\"57946112\", alpha=\"0.13\", expect_size=\"28973056\"] \n  33 [size=\"73039872\", alpha=\"0.17\", expect_size=\"36519936\"] \n  34 [size=\"79859712\", alpha=\"0.09\", expect_size=\"39929856\"] \n  35 [size=\"43120640\", alpha=\"0.20\", expect_size=\"21560320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54960640\", alpha=\"0.17\", expect_size=\"21984256\"] \n  2 [size=\"74073600\", alpha=\"0.15\", expect_size=\"29629440\"] \n  2 -> 3 [size =\"29629440\"]\n  3 [size=\"69734400\", alpha=\"0.04\", expect_size=\"27893760\"] \n  3 -> 4 [size =\"27893760\"]\n  4 [size=\"20748800\", alpha=\"0.09\", expect_size=\"8299520\"] \n  4 -> 5 [size =\"8299520\"]\n  4 -> 6 [size =\"8299520\"]\n  5 [size=\"101127680\", alpha=\"0.19\", expect_size=\"40451072\"] \n  5 -> 7 [size =\"40451072\"]\n  5 -> 8 [size =\"40451072\"]\n  6 [size=\"17994240\", alpha=\"0.15\", expect_size=\"7197696\"] \n  7 [size=\"109657600\", alpha=\"0.02\", expect_size=\"43863040\"] \n  7 -> 10 [size =\"43863040\"]\n  8 [size=\"100643840\", alpha=\"0.11\", expect_size=\"40257536\"] \n  8 -> 9 [size =\"40257536\"]\n  9 [size=\"77283840\", alpha=\"0.17\", expect_size=\"30913536\"] \n  10 [size=\"120463360\", alpha=\"0.02\", expect_size=\"48185344\"] \n  10 -> 11 [size =\"48185344\"]\n  11 [size=\"107394560\", alpha=\"0.03\", expect_size=\"42957824\"] \n  11 -> 12 [size =\"42957824\"]\n  11 -> 13 [size =\"42957824\"]\n  12 [size=\"90501120\", alpha=\"0.15\", expect_size=\"36200448\"] \n  12 -> 15 [size =\"36200448\"]\n  13 [size=\"62868480\", alpha=\"0.12\", expect_size=\"25147392\"] \n  13 -> 14 [size =\"25147392\"]\n  14 [size=\"87751680\", alpha=\"0.09\", expect_size=\"35100672\"] \n  14 -> 17 [size =\"35100672\"]\n  15 [size=\"19980800\", alpha=\"0.17\", expect_size=\"7992320\"] \n  15 -> 16 [size =\"7992320\"]\n  16 [size=\"15170560\", alpha=\"0.03\", expect_size=\"6068224\"] \n  16 -> 19 [size =\"6068224\"]\n  17 [size=\"101606400\", alpha=\"0.01\", expect_size=\"40642560\"] \n  17 -> 18 [size =\"40642560\"]\n  18 [size=\"116295680\", alpha=\"0.16\", expect_size=\"46518272\"] \n  19 [size=\"64629760\", alpha=\"0.02\", expect_size=\"25851904\"] \n  19 -> 20 [size =\"25851904\"]\n  20 [size=\"48883200\", alpha=\"0.08\", expect_size=\"19553280\"] \n  20 -> 21 [size =\"19553280\"]\n  20 -> 22 [size =\"19553280\"]\n  21 [size=\"60367360\", alpha=\"0.01\", expect_size=\"24146944\"] \n  22 [size=\"76323840\", alpha=\"0.04\", expect_size=\"30529536\"] \n  22 -> 23 [size =\"30529536\"]\n  22 -> 24 [size =\"30529536\"]\n  23 [size=\"49456640\", alpha=\"0.17\", expect_size=\"19782656\"] \n  23 -> 25 [size =\"19782656\"]\n  24 [size=\"119101440\", alpha=\"0.11\", expect_size=\"47640576\"] \n  25 [size=\"55454720\", alpha=\"0.19\", expect_size=\"22181888\"] \n  25 -> 26 [size =\"22181888\"]\n  25 -> 27 [size =\"22181888\"]\n  26 [size=\"39979520\", alpha=\"0.09\", expect_size=\"15991808\"] \n  26 -> 28 [size =\"15991808\"]\n  26 -> 29 [size =\"15991808\"]\n  27 [size=\"58452480\", alpha=\"0.15\", expect_size=\"23380992\"] \n  28 [size=\"66644480\", alpha=\"0.16\", expect_size=\"26657792\"] \n  28 -> 30 [size =\"26657792\"]\n  29 [size=\"43563520\", alpha=\"0.08\", expect_size=\"17425408\"] \n  30 [size=\"57451520\", alpha=\"0.18\", expect_size=\"22980608\"] \n  30 -> 31 [size =\"22980608\"]\n  31 [size=\"104737280\", alpha=\"0.04\", expect_size=\"41894912\"] \n  31 -> 32 [size =\"41894912\"]\n  31 -> 33 [size =\"41894912\"]\n  32 [size=\"109306880\", alpha=\"0.03\", expect_size=\"43722752\"] \n  33 [size=\"14164480\", alpha=\"0.11\", expect_size=\"5665792\"] \n  33 -> 34 [size =\"5665792\"]\n  34 [size=\"111872000\", alpha=\"0.11\", expect_size=\"44748800\"] \n  34 -> 35 [size =\"44748800\"]\n  35 [size=\"56176640\", alpha=\"0.13\", expect_size=\"22470656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160778240\", alpha=\"0.00\", expect_size=\"48233472\"] \n  1 -> 17 [size =\"48233472\"]\n  1 -> 19 [size =\"48233472\"]\n  2 [size=\"170840747\", alpha=\"0.19\", expect_size=\"51252224\"] \n  2 -> 13 [size =\"51252224\"]\n  2 -> 14 [size =\"51252224\"]\n  3 [size=\"41164800\", alpha=\"0.15\", expect_size=\"12349440\"] \n  3 -> 12 [size =\"12349440\"]\n  3 -> 14 [size =\"12349440\"]\n  3 -> 16 [size =\"12349440\"]\n  3 -> 18 [size =\"12349440\"]\n  3 -> 20 [size =\"12349440\"]\n  3 -> 21 [size =\"12349440\"]\n  4 [size=\"85640533\", alpha=\"0.15\", expect_size=\"25692160\"] \n  4 -> 12 [size =\"25692160\"]\n  4 -> 13 [size =\"25692160\"]\n  4 -> 14 [size =\"25692160\"]\n  4 -> 17 [size =\"25692160\"]\n  4 -> 19 [size =\"25692160\"]\n  4 -> 20 [size =\"25692160\"]\n  4 -> 21 [size =\"25692160\"]\n  4 -> 22 [size =\"25692160\"]\n  5 [size=\"88412160\", alpha=\"0.05\", expect_size=\"26523648\"] \n  5 -> 12 [size =\"26523648\"]\n  5 -> 19 [size =\"26523648\"]\n  5 -> 22 [size =\"26523648\"]\n  6 [size=\"65361920\", alpha=\"0.10\", expect_size=\"19608576\"] \n  6 -> 12 [size =\"19608576\"]\n  6 -> 13 [size =\"19608576\"]\n  6 -> 19 [size =\"19608576\"]\n  6 -> 22 [size =\"19608576\"]\n  7 [size=\"60521813\", alpha=\"0.17\", expect_size=\"18156544\"] \n  7 -> 12 [size =\"18156544\"]\n  7 -> 13 [size =\"18156544\"]\n  7 -> 16 [size =\"18156544\"]\n  7 -> 17 [size =\"18156544\"]\n  7 -> 19 [size =\"18156544\"]\n  7 -> 20 [size =\"18156544\"]\n  8 [size=\"173393920\", alpha=\"0.14\", expect_size=\"52018176\"] \n  8 -> 13 [size =\"52018176\"]\n  8 -> 14 [size =\"52018176\"]\n  8 -> 15 [size =\"52018176\"]\n  8 -> 16 [size =\"52018176\"]\n  8 -> 17 [size =\"52018176\"]\n  9 [size=\"125078187\", alpha=\"0.19\", expect_size=\"37523456\"] \n  9 -> 13 [size =\"37523456\"]\n  9 -> 17 [size =\"37523456\"]\n  9 -> 19 [size =\"37523456\"]\n  9 -> 20 [size =\"37523456\"]\n  9 -> 21 [size =\"37523456\"]\n  10 [size=\"173096960\", alpha=\"0.06\", expect_size=\"51929088\"] \n  10 -> 17 [size =\"51929088\"]\n  10 -> 18 [size =\"51929088\"]\n  10 -> 21 [size =\"51929088\"]\n  11 [size=\"145759573\", alpha=\"0.16\", expect_size=\"43727872\"] \n  11 -> 14 [size =\"43727872\"]\n  11 -> 15 [size =\"43727872\"]\n  11 -> 19 [size =\"43727872\"]\n  12 [size=\"149364053\", alpha=\"0.03\", expect_size=\"44809216\"] \n  12 -> 23 [size =\"44809216\"]\n  12 -> 25 [size =\"44809216\"]\n  12 -> 30 [size =\"44809216\"]\n  13 [size=\"142008320\", alpha=\"0.08\", expect_size=\"42602496\"] \n  13 -> 26 [size =\"42602496\"]\n  13 -> 30 [size =\"42602496\"]\n  13 -> 33 [size =\"42602496\"]\n  14 [size=\"100253013\", alpha=\"0.06\", expect_size=\"30075904\"] \n  14 -> 25 [size =\"30075904\"]\n  14 -> 28 [size =\"30075904\"]\n  14 -> 30 [size =\"30075904\"]\n  14 -> 32 [size =\"30075904\"]\n  14 -> 33 [size =\"30075904\"]\n  15 [size=\"57999360\", alpha=\"0.13\", expect_size=\"17399808\"] \n  15 -> 23 [size =\"17399808\"]\n  15 -> 24 [size =\"17399808\"]\n  15 -> 30 [size =\"17399808\"]\n  16 [size=\"99659093\", alpha=\"0.11\", expect_size=\"29897728\"] \n  16 -> 23 [size =\"29897728\"]\n  16 -> 25 [size =\"29897728\"]\n  16 -> 26 [size =\"29897728\"]\n  16 -> 27 [size =\"29897728\"]\n  17 [size=\"23022933\", alpha=\"0.07\", expect_size=\"6906880\"] \n  17 -> 26 [size =\"6906880\"]\n  17 -> 32 [size =\"6906880\"]\n  17 -> 33 [size =\"6906880\"]\n  18 [size=\"154234880\", alpha=\"0.19\", expect_size=\"46270464\"] \n  18 -> 24 [size =\"46270464\"]\n  18 -> 26 [size =\"46270464\"]\n  18 -> 29 [size =\"46270464\"]\n  18 -> 32 [size =\"46270464\"]\n  18 -> 33 [size =\"46270464\"]\n  19 [size=\"103717547\", alpha=\"0.08\", expect_size=\"31115264\"] \n  19 -> 24 [size =\"31115264\"]\n  19 -> 25 [size =\"31115264\"]\n  19 -> 26 [size =\"31115264\"]\n  19 -> 29 [size =\"31115264\"]\n  19 -> 30 [size =\"31115264\"]\n  19 -> 33 [size =\"31115264\"]\n  20 [size=\"98925227\", alpha=\"0.05\", expect_size=\"29677568\"] \n  20 -> 23 [size =\"29677568\"]\n  20 -> 24 [size =\"29677568\"]\n  20 -> 25 [size =\"29677568\"]\n  20 -> 30 [size =\"29677568\"]\n  20 -> 32 [size =\"29677568\"]\n  20 -> 33 [size =\"29677568\"]\n  21 [size=\"145274880\", alpha=\"0.00\", expect_size=\"43582464\"] \n  21 -> 23 [size =\"43582464\"]\n  21 -> 24 [size =\"43582464\"]\n  21 -> 27 [size =\"43582464\"]\n  21 -> 30 [size =\"43582464\"]\n  21 -> 31 [size =\"43582464\"]\n  22 [size=\"110090240\", alpha=\"0.15\", expect_size=\"33027072\"] \n  22 -> 23 [size =\"33027072\"]\n  22 -> 24 [size =\"33027072\"]\n  22 -> 32 [size =\"33027072\"]\n  23 [size=\"136550400\", alpha=\"0.13\", expect_size=\"40965120\"] \n  24 [size=\"41021440\", alpha=\"0.19\", expect_size=\"12306432\"] \n  24 -> 35 [size =\"12306432\"]\n  25 [size=\"91941547\", alpha=\"0.15\", expect_size=\"27582464\"] \n  26 [size=\"39881387\", alpha=\"0.16\", expect_size=\"11964416\"] \n  27 [size=\"127808853\", alpha=\"0.03\", expect_size=\"38342656\"] \n  28 [size=\"26545493\", alpha=\"0.10\", expect_size=\"7963648\"] \n  29 [size=\"173233493\", alpha=\"0.11\", expect_size=\"51970048\"] \n  30 [size=\"79148373\", alpha=\"0.11\", expect_size=\"23744512\"] \n  30 -> 34 [size =\"23744512\"]\n  30 -> 35 [size =\"23744512\"]\n  31 [size=\"118971733\", alpha=\"0.08\", expect_size=\"35691520\"] \n  31 -> 35 [size =\"35691520\"]\n  32 [size=\"121432747\", alpha=\"0.01\", expect_size=\"36429824\"] \n  33 [size=\"82609493\", alpha=\"0.10\", expect_size=\"24782848\"] \n  34 [size=\"26197333\", alpha=\"0.10\", expect_size=\"7859200\"] \n  35 [size=\"20353707\", alpha=\"0.15\", expect_size=\"6106112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58568704\", alpha=\"0.03\", expect_size=\"29284352\"] \n  1 -> 26 [size =\"29284352\"]\n  1 -> 27 [size =\"29284352\"]\n  1 -> 30 [size =\"29284352\"]\n  1 -> 31 [size =\"29284352\"]\n  1 -> 34 [size =\"29284352\"]\n  2 [size=\"92698624\", alpha=\"0.02\", expect_size=\"46349312\"] \n  2 -> 26 [size =\"46349312\"]\n  2 -> 27 [size =\"46349312\"]\n  2 -> 29 [size =\"46349312\"]\n  2 -> 31 [size =\"46349312\"]\n  2 -> 34 [size =\"46349312\"]\n  3 [size=\"55488512\", alpha=\"0.10\", expect_size=\"27744256\"] \n  3 -> 27 [size =\"27744256\"]\n  3 -> 31 [size =\"27744256\"]\n  3 -> 34 [size =\"27744256\"]\n  3 -> 35 [size =\"27744256\"]\n  4 [size=\"48793600\", alpha=\"0.03\", expect_size=\"24396800\"] \n  4 -> 28 [size =\"24396800\"]\n  4 -> 29 [size =\"24396800\"]\n  4 -> 34 [size =\"24396800\"]\n  5 [size=\"18419712\", alpha=\"0.03\", expect_size=\"9209856\"] \n  5 -> 28 [size =\"9209856\"]\n  5 -> 29 [size =\"9209856\"]\n  5 -> 33 [size =\"9209856\"]\n  5 -> 34 [size =\"9209856\"]\n  6 [size=\"62543872\", alpha=\"0.10\", expect_size=\"31271936\"] \n  6 -> 26 [size =\"31271936\"]\n  6 -> 34 [size =\"31271936\"]\n  6 -> 35 [size =\"31271936\"]\n  7 [size=\"38895616\", alpha=\"0.01\", expect_size=\"19447808\"] \n  7 -> 26 [size =\"19447808\"]\n  7 -> 28 [size =\"19447808\"]\n  7 -> 29 [size =\"19447808\"]\n  7 -> 30 [size =\"19447808\"]\n  7 -> 31 [size =\"19447808\"]\n  7 -> 35 [size =\"19447808\"]\n  8 [size=\"98850816\", alpha=\"0.06\", expect_size=\"49425408\"] \n  8 -> 26 [size =\"49425408\"]\n  8 -> 27 [size =\"49425408\"]\n  8 -> 28 [size =\"49425408\"]\n  9 [size=\"60399616\", alpha=\"0.12\", expect_size=\"30199808\"] \n  9 -> 29 [size =\"30199808\"]\n  9 -> 30 [size =\"30199808\"]\n  9 -> 32 [size =\"30199808\"]\n  9 -> 33 [size =\"30199808\"]\n  10 [size=\"48384000\", alpha=\"0.04\", expect_size=\"24192000\"] \n  10 -> 26 [size =\"24192000\"]\n  10 -> 27 [size =\"24192000\"]\n  10 -> 28 [size =\"24192000\"]\n  10 -> 29 [size =\"24192000\"]\n  10 -> 31 [size =\"24192000\"]\n  11 [size=\"71737344\", alpha=\"0.06\", expect_size=\"35868672\"] \n  11 -> 29 [size =\"35868672\"]\n  11 -> 35 [size =\"35868672\"]\n  12 [size=\"85602304\", alpha=\"0.14\", expect_size=\"42801152\"] \n  12 -> 26 [size =\"42801152\"]\n  12 -> 27 [size =\"42801152\"]\n  12 -> 28 [size =\"42801152\"]\n  12 -> 31 [size =\"42801152\"]\n  12 -> 34 [size =\"42801152\"]\n  13 [size=\"97185792\", alpha=\"0.17\", expect_size=\"48592896\"] \n  13 -> 26 [size =\"48592896\"]\n  13 -> 27 [size =\"48592896\"]\n  13 -> 28 [size =\"48592896\"]\n  13 -> 29 [size =\"48592896\"]\n  13 -> 30 [size =\"48592896\"]\n  13 -> 31 [size =\"48592896\"]\n  14 [size=\"51013632\", alpha=\"0.04\", expect_size=\"25506816\"] \n  14 -> 26 [size =\"25506816\"]\n  14 -> 28 [size =\"25506816\"]\n  14 -> 29 [size =\"25506816\"]\n  14 -> 29 [size =\"25506816\"]\n  14 -> 31 [size =\"25506816\"]\n  14 -> 34 [size =\"25506816\"]\n  15 [size=\"66471936\", alpha=\"0.15\", expect_size=\"33235968\"] \n  15 -> 26 [size =\"33235968\"]\n  15 -> 29 [size =\"33235968\"]\n  15 -> 29 [size =\"33235968\"]\n  15 -> 31 [size =\"33235968\"]\n  15 -> 34 [size =\"33235968\"]\n  16 [size=\"79009792\", alpha=\"0.01\", expect_size=\"39504896\"] \n  16 -> 26 [size =\"39504896\"]\n  16 -> 31 [size =\"39504896\"]\n  16 -> 32 [size =\"39504896\"]\n  16 -> 33 [size =\"39504896\"]\n  16 -> 34 [size =\"39504896\"]\n  17 [size=\"33280000\", alpha=\"0.14\", expect_size=\"16640000\"] \n  17 -> 26 [size =\"16640000\"]\n  17 -> 29 [size =\"16640000\"]\n  17 -> 33 [size =\"16640000\"]\n  18 [size=\"38344704\", alpha=\"0.06\", expect_size=\"19172352\"] \n  18 -> 26 [size =\"19172352\"]\n  18 -> 27 [size =\"19172352\"]\n  18 -> 28 [size =\"19172352\"]\n  18 -> 31 [size =\"19172352\"]\n  18 -> 34 [size =\"19172352\"]\n  19 [size=\"67713024\", alpha=\"0.16\", expect_size=\"33856512\"] \n  19 -> 26 [size =\"33856512\"]\n  19 -> 34 [size =\"33856512\"]\n  20 [size=\"31047680\", alpha=\"0.13\", expect_size=\"15523840\"] \n  20 -> 26 [size =\"15523840\"]\n  20 -> 28 [size =\"15523840\"]\n  20 -> 31 [size =\"15523840\"]\n  20 -> 33 [size =\"15523840\"]\n  20 -> 34 [size =\"15523840\"]\n  21 [size=\"51650560\", alpha=\"0.00\", expect_size=\"25825280\"] \n  21 -> 28 [size =\"25825280\"]\n  21 -> 34 [size =\"25825280\"]\n  22 [size=\"78854144\", alpha=\"0.05\", expect_size=\"39427072\"] \n  22 -> 27 [size =\"39427072\"]\n  22 -> 29 [size =\"39427072\"]\n  22 -> 34 [size =\"39427072\"]\n  23 [size=\"50726912\", alpha=\"0.19\", expect_size=\"25363456\"] \n  23 -> 29 [size =\"25363456\"]\n  23 -> 34 [size =\"25363456\"]\n  24 [size=\"36632576\", alpha=\"0.01\", expect_size=\"18316288\"] \n  24 -> 26 [size =\"18316288\"]\n  24 -> 27 [size =\"18316288\"]\n  24 -> 35 [size =\"18316288\"]\n  25 [size=\"54222848\", alpha=\"0.05\", expect_size=\"27111424\"] \n  25 -> 26 [size =\"27111424\"]\n  25 -> 28 [size =\"27111424\"]\n  25 -> 34 [size =\"27111424\"]\n  25 -> 35 [size =\"27111424\"]\n  26 [size=\"31635456\", alpha=\"0.00\", expect_size=\"15817728\"] \n  27 [size=\"37527552\", alpha=\"0.01\", expect_size=\"18763776\"] \n  28 [size=\"10831872\", alpha=\"0.01\", expect_size=\"5415936\"] \n  29 [size=\"38756352\", alpha=\"0.11\", expect_size=\"19378176\"] \n  30 [size=\"21383168\", alpha=\"0.10\", expect_size=\"10691584\"] \n  31 [size=\"84094976\", alpha=\"0.01\", expect_size=\"42047488\"] \n  32 [size=\"86228992\", alpha=\"0.08\", expect_size=\"43114496\"] \n  33 [size=\"15628288\", alpha=\"0.14\", expect_size=\"7814144\"] \n  34 [size=\"11671552\", alpha=\"0.08\", expect_size=\"5835776\"] \n  35 [size=\"18294784\", alpha=\"0.14\", expect_size=\"9147392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19466240\", alpha=\"0.11\", expect_size=\"7786496\"] \n  1 -> 2 [size =\"7786496\"]\n  2 [size=\"26449920\", alpha=\"0.04\", expect_size=\"10579968\"] \n  2 -> 3 [size =\"10579968\"]\n  3 [size=\"104588800\", alpha=\"0.04\", expect_size=\"41835520\"] \n  3 -> 4 [size =\"41835520\"]\n  4 [size=\"48944640\", alpha=\"0.17\", expect_size=\"19577856\"] \n  4 -> 5 [size =\"19577856\"]\n  5 [size=\"84782080\", alpha=\"0.10\", expect_size=\"33912832\"] \n  5 -> 6 [size =\"33912832\"]\n  6 [size=\"98414080\", alpha=\"0.02\", expect_size=\"39365632\"] \n  6 -> 7 [size =\"39365632\"]\n  7 [size=\"117770240\", alpha=\"0.17\", expect_size=\"47108096\"] \n  7 -> 8 [size =\"47108096\"]\n  8 [size=\"109693440\", alpha=\"0.08\", expect_size=\"43877376\"] \n  8 -> 9 [size =\"43877376\"]\n  9 [size=\"32657920\", alpha=\"0.12\", expect_size=\"13063168\"] \n  9 -> 10 [size =\"13063168\"]\n  10 [size=\"75635200\", alpha=\"0.14\", expect_size=\"30254080\"] \n  10 -> 11 [size =\"30254080\"]\n  11 [size=\"55001600\", alpha=\"0.04\", expect_size=\"22000640\"] \n  11 -> 12 [size =\"22000640\"]\n  12 [size=\"121448960\", alpha=\"0.04\", expect_size=\"48579584\"] \n  12 -> 13 [size =\"48579584\"]\n  13 [size=\"24455680\", alpha=\"0.15\", expect_size=\"9782272\"] \n  13 -> 14 [size =\"9782272\"]\n  14 [size=\"48668160\", alpha=\"0.05\", expect_size=\"19467264\"] \n  14 -> 15 [size =\"19467264\"]\n  15 [size=\"30310400\", alpha=\"0.01\", expect_size=\"12124160\"] \n  15 -> 16 [size =\"12124160\"]\n  16 [size=\"87178240\", alpha=\"0.08\", expect_size=\"34871296\"] \n  16 -> 17 [size =\"34871296\"]\n  17 [size=\"97466880\", alpha=\"0.15\", expect_size=\"38986752\"] \n  17 -> 18 [size =\"38986752\"]\n  18 [size=\"81141760\", alpha=\"0.12\", expect_size=\"32456704\"] \n  18 -> 19 [size =\"32456704\"]\n  19 [size=\"129379840\", alpha=\"0.01\", expect_size=\"51751936\"] \n  19 -> 20 [size =\"51751936\"]\n  20 [size=\"80294400\", alpha=\"0.05\", expect_size=\"32117760\"] \n  20 -> 21 [size =\"32117760\"]\n  21 [size=\"43066880\", alpha=\"0.10\", expect_size=\"17226752\"] \n  21 -> 22 [size =\"17226752\"]\n  22 [size=\"66946560\", alpha=\"0.17\", expect_size=\"26778624\"] \n  22 -> 23 [size =\"26778624\"]\n  23 [size=\"92508160\", alpha=\"0.00\", expect_size=\"37003264\"] \n  23 -> 24 [size =\"37003264\"]\n  24 [size=\"65518080\", alpha=\"0.09\", expect_size=\"26207232\"] \n  24 -> 25 [size =\"26207232\"]\n  25 [size=\"92738560\", alpha=\"0.10\", expect_size=\"37095424\"] \n  25 -> 26 [size =\"37095424\"]\n  26 [size=\"99013120\", alpha=\"0.06\", expect_size=\"39605248\"] \n  26 -> 27 [size =\"39605248\"]\n  27 [size=\"27934720\", alpha=\"0.19\", expect_size=\"11173888\"] \n  27 -> 28 [size =\"11173888\"]\n  28 [size=\"118284800\", alpha=\"0.09\", expect_size=\"47313920\"] \n  28 -> 29 [size =\"47313920\"]\n  29 [size=\"72545280\", alpha=\"0.02\", expect_size=\"29018112\"] \n  29 -> 30 [size =\"29018112\"]\n  30 [size=\"76567040\", alpha=\"0.05\", expect_size=\"30626816\"] \n  30 -> 31 [size =\"30626816\"]\n  31 [size=\"104355840\", alpha=\"0.16\", expect_size=\"41742336\"] \n  31 -> 32 [size =\"41742336\"]\n  32 [size=\"44313600\", alpha=\"0.05\", expect_size=\"17725440\"] \n  32 -> 33 [size =\"17725440\"]\n  33 [size=\"27747840\", alpha=\"0.16\", expect_size=\"11099136\"] \n  33 -> 34 [size =\"11099136\"]\n  34 [size=\"28180480\", alpha=\"0.13\", expect_size=\"11272192\"] \n  34 -> 35 [size =\"11272192\"]\n  35 [size=\"81443840\", alpha=\"0.13\", expect_size=\"32577536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29506560\", alpha=\"0.09\", expect_size=\"11802624\"] \n  1 -> 12 [size =\"11802624\"]\n  1 -> 13 [size =\"11802624\"]\n  1 -> 14 [size =\"11802624\"]\n  1 -> 16 [size =\"11802624\"]\n  2 [size=\"30274560\", alpha=\"0.16\", expect_size=\"12109824\"] \n  2 -> 14 [size =\"12109824\"]\n  2 -> 15 [size =\"12109824\"]\n  2 -> 19 [size =\"12109824\"]\n  2 -> 20 [size =\"12109824\"]\n  3 [size=\"33996800\", alpha=\"0.07\", expect_size=\"13598720\"] \n  3 -> 13 [size =\"13598720\"]\n  3 -> 14 [size =\"13598720\"]\n  3 -> 15 [size =\"13598720\"]\n  3 -> 19 [size =\"13598720\"]\n  3 -> 22 [size =\"13598720\"]\n  4 [size=\"87073280\", alpha=\"0.11\", expect_size=\"34829312\"] \n  4 -> 12 [size =\"34829312\"]\n  4 -> 15 [size =\"34829312\"]\n  4 -> 18 [size =\"34829312\"]\n  4 -> 19 [size =\"34829312\"]\n  4 -> 21 [size =\"34829312\"]\n  4 -> 22 [size =\"34829312\"]\n  4 -> 23 [size =\"34829312\"]\n  5 [size=\"32161280\", alpha=\"0.00\", expect_size=\"12864512\"] \n  5 -> 14 [size =\"12864512\"]\n  5 -> 18 [size =\"12864512\"]\n  5 -> 19 [size =\"12864512\"]\n  5 -> 20 [size =\"12864512\"]\n  5 -> 22 [size =\"12864512\"]\n  5 -> 23 [size =\"12864512\"]\n  5 -> 23 [size =\"12864512\"]\n  6 [size=\"123166720\", alpha=\"0.04\", expect_size=\"49266688\"] \n  6 -> 13 [size =\"49266688\"]\n  6 -> 18 [size =\"49266688\"]\n  7 [size=\"79472640\", alpha=\"0.04\", expect_size=\"31789056\"] \n  7 -> 13 [size =\"31789056\"]\n  7 -> 15 [size =\"31789056\"]\n  7 -> 17 [size =\"31789056\"]\n  7 -> 18 [size =\"31789056\"]\n  7 -> 20 [size =\"31789056\"]\n  8 [size=\"117140480\", alpha=\"0.19\", expect_size=\"46856192\"] \n  8 -> 12 [size =\"46856192\"]\n  8 -> 13 [size =\"46856192\"]\n  8 -> 18 [size =\"46856192\"]\n  8 -> 20 [size =\"46856192\"]\n  8 -> 22 [size =\"46856192\"]\n  8 -> 23 [size =\"46856192\"]\n  9 [size=\"74736640\", alpha=\"0.08\", expect_size=\"29894656\"] \n  9 -> 12 [size =\"29894656\"]\n  9 -> 22 [size =\"29894656\"]\n  9 -> 23 [size =\"29894656\"]\n  10 [size=\"102156800\", alpha=\"0.08\", expect_size=\"40862720\"] \n  10 -> 12 [size =\"40862720\"]\n  10 -> 15 [size =\"40862720\"]\n  10 -> 17 [size =\"40862720\"]\n  10 -> 19 [size =\"40862720\"]\n  10 -> 21 [size =\"40862720\"]\n  10 -> 23 [size =\"40862720\"]\n  11 [size=\"54840320\", alpha=\"0.05\", expect_size=\"21936128\"] \n  11 -> 14 [size =\"21936128\"]\n  11 -> 17 [size =\"21936128\"]\n  11 -> 19 [size =\"21936128\"]\n  11 -> 20 [size =\"21936128\"]\n  12 [size=\"108828160\", alpha=\"0.08\", expect_size=\"43531264\"] \n  12 -> 30 [size =\"43531264\"]\n  13 [size=\"82946560\", alpha=\"0.15\", expect_size=\"33178624\"] \n  13 -> 27 [size =\"33178624\"]\n  13 -> 30 [size =\"33178624\"]\n  13 -> 33 [size =\"33178624\"]\n  14 [size=\"121413120\", alpha=\"0.12\", expect_size=\"48565248\"] \n  14 -> 25 [size =\"48565248\"]\n  14 -> 33 [size =\"48565248\"]\n  15 [size=\"68725760\", alpha=\"0.20\", expect_size=\"27490304\"] \n  15 -> 25 [size =\"27490304\"]\n  15 -> 27 [size =\"27490304\"]\n  15 -> 31 [size =\"27490304\"]\n  15 -> 32 [size =\"27490304\"]\n  15 -> 33 [size =\"27490304\"]\n  16 [size=\"70840320\", alpha=\"0.03\", expect_size=\"28336128\"] \n  16 -> 24 [size =\"28336128\"]\n  16 -> 26 [size =\"28336128\"]\n  17 [size=\"95124480\", alpha=\"0.08\", expect_size=\"38049792\"] \n  17 -> 29 [size =\"38049792\"]\n  17 -> 30 [size =\"38049792\"]\n  18 [size=\"121546240\", alpha=\"0.06\", expect_size=\"48618496\"] \n  18 -> 27 [size =\"48618496\"]\n  18 -> 28 [size =\"48618496\"]\n  18 -> 33 [size =\"48618496\"]\n  19 [size=\"112852480\", alpha=\"0.19\", expect_size=\"45140992\"] \n  19 -> 24 [size =\"45140992\"]\n  19 -> 26 [size =\"45140992\"]\n  19 -> 28 [size =\"45140992\"]\n  19 -> 30 [size =\"45140992\"]\n  20 [size=\"41139200\", alpha=\"0.04\", expect_size=\"16455680\"] \n  20 -> 26 [size =\"16455680\"]\n  20 -> 27 [size =\"16455680\"]\n  20 -> 33 [size =\"16455680\"]\n  21 [size=\"90598400\", alpha=\"0.11\", expect_size=\"36239360\"] \n  21 -> 24 [size =\"36239360\"]\n  21 -> 26 [size =\"36239360\"]\n  21 -> 27 [size =\"36239360\"]\n  21 -> 30 [size =\"36239360\"]\n  21 -> 33 [size =\"36239360\"]\n  22 [size=\"122920960\", alpha=\"0.01\", expect_size=\"49168384\"] \n  22 -> 24 [size =\"49168384\"]\n  22 -> 26 [size =\"49168384\"]\n  22 -> 28 [size =\"49168384\"]\n  22 -> 33 [size =\"49168384\"]\n  23 [size=\"49290240\", alpha=\"0.14\", expect_size=\"19716096\"] \n  23 -> 24 [size =\"19716096\"]\n  24 [size=\"17856000\", alpha=\"0.00\", expect_size=\"7142400\"] \n  24 -> 34 [size =\"7142400\"]\n  25 [size=\"90304000\", alpha=\"0.10\", expect_size=\"36121600\"] \n  25 -> 34 [size =\"36121600\"]\n  26 [size=\"89891840\", alpha=\"0.18\", expect_size=\"35956736\"] \n  26 -> 35 [size =\"35956736\"]\n  27 [size=\"107865600\", alpha=\"0.17\", expect_size=\"43146240\"] \n  27 -> 35 [size =\"43146240\"]\n  28 [size=\"37811200\", alpha=\"0.14\", expect_size=\"15124480\"] \n  29 [size=\"71879680\", alpha=\"0.01\", expect_size=\"28751872\"] \n  30 [size=\"68889600\", alpha=\"0.03\", expect_size=\"27555840\"] \n  31 [size=\"91064320\", alpha=\"0.13\", expect_size=\"36425728\"] \n  31 -> 34 [size =\"36425728\"]\n  32 [size=\"36843520\", alpha=\"0.18\", expect_size=\"14737408\"] \n  33 [size=\"41356800\", alpha=\"0.16\", expect_size=\"16542720\"] \n  33 -> 34 [size =\"16542720\"]\n  34 [size=\"125496320\", alpha=\"0.12\", expect_size=\"50198528\"] \n  35 [size=\"127296000\", alpha=\"0.17\", expect_size=\"50918400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76163072\", alpha=\"0.02\", expect_size=\"38081536\"] \n  1 -> 2 [size =\"38081536\"]\n  2 [size=\"98830336\", alpha=\"0.11\", expect_size=\"49415168\"] \n  2 -> 3 [size =\"49415168\"]\n  3 [size=\"70662144\", alpha=\"0.04\", expect_size=\"35331072\"] \n  3 -> 4 [size =\"35331072\"]\n  4 [size=\"45850624\", alpha=\"0.13\", expect_size=\"22925312\"] \n  4 -> 5 [size =\"22925312\"]\n  5 [size=\"96100352\", alpha=\"0.11\", expect_size=\"48050176\"] \n  5 -> 6 [size =\"48050176\"]\n  6 [size=\"26812416\", alpha=\"0.08\", expect_size=\"13406208\"] \n  6 -> 7 [size =\"13406208\"]\n  7 [size=\"72011776\", alpha=\"0.12\", expect_size=\"36005888\"] \n  7 -> 8 [size =\"36005888\"]\n  8 [size=\"58150912\", alpha=\"0.18\", expect_size=\"29075456\"] \n  8 -> 9 [size =\"29075456\"]\n  9 [size=\"31936512\", alpha=\"0.01\", expect_size=\"15968256\"] \n  9 -> 10 [size =\"15968256\"]\n  10 [size=\"48336896\", alpha=\"0.06\", expect_size=\"24168448\"] \n  10 -> 11 [size =\"24168448\"]\n  11 [size=\"40376320\", alpha=\"0.08\", expect_size=\"20188160\"] \n  11 -> 12 [size =\"20188160\"]\n  12 [size=\"49672192\", alpha=\"0.13\", expect_size=\"24836096\"] \n  12 -> 13 [size =\"24836096\"]\n  13 [size=\"101775360\", alpha=\"0.13\", expect_size=\"50887680\"] \n  13 -> 14 [size =\"50887680\"]\n  14 [size=\"24864768\", alpha=\"0.10\", expect_size=\"12432384\"] \n  14 -> 15 [size =\"12432384\"]\n  15 [size=\"87394304\", alpha=\"0.15\", expect_size=\"43697152\"] \n  15 -> 16 [size =\"43697152\"]\n  16 [size=\"47079424\", alpha=\"0.16\", expect_size=\"23539712\"] \n  16 -> 17 [size =\"23539712\"]\n  17 [size=\"84264960\", alpha=\"0.08\", expect_size=\"42132480\"] \n  17 -> 18 [size =\"42132480\"]\n  18 [size=\"45135872\", alpha=\"0.05\", expect_size=\"22567936\"] \n  18 -> 19 [size =\"22567936\"]\n  19 [size=\"36870144\", alpha=\"0.10\", expect_size=\"18435072\"] \n  19 -> 20 [size =\"18435072\"]\n  20 [size=\"41408512\", alpha=\"0.08\", expect_size=\"20704256\"] \n  20 -> 21 [size =\"20704256\"]\n  21 [size=\"71456768\", alpha=\"0.19\", expect_size=\"35728384\"] \n  21 -> 22 [size =\"35728384\"]\n  22 [size=\"13684736\", alpha=\"0.10\", expect_size=\"6842368\"] \n  22 -> 23 [size =\"6842368\"]\n  23 [size=\"77234176\", alpha=\"0.13\", expect_size=\"38617088\"] \n  23 -> 24 [size =\"38617088\"]\n  24 [size=\"43696128\", alpha=\"0.04\", expect_size=\"21848064\"] \n  24 -> 25 [size =\"21848064\"]\n  25 [size=\"89446400\", alpha=\"0.13\", expect_size=\"44723200\"] \n  25 -> 26 [size =\"44723200\"]\n  26 [size=\"65124352\", alpha=\"0.06\", expect_size=\"32562176\"] \n  26 -> 27 [size =\"32562176\"]\n  27 [size=\"47024128\", alpha=\"0.11\", expect_size=\"23512064\"] \n  27 -> 28 [size =\"23512064\"]\n  28 [size=\"82872320\", alpha=\"0.07\", expect_size=\"41436160\"] \n  28 -> 29 [size =\"41436160\"]\n  29 [size=\"13568000\", alpha=\"0.07\", expect_size=\"6784000\"] \n  29 -> 30 [size =\"6784000\"]\n  30 [size=\"58826752\", alpha=\"0.15\", expect_size=\"29413376\"] \n  30 -> 31 [size =\"29413376\"]\n  31 [size=\"94545920\", alpha=\"0.10\", expect_size=\"47272960\"] \n  31 -> 32 [size =\"47272960\"]\n  32 [size=\"92033024\", alpha=\"0.13\", expect_size=\"46016512\"] \n  32 -> 33 [size =\"46016512\"]\n  33 [size=\"45262848\", alpha=\"0.15\", expect_size=\"22631424\"] \n  33 -> 34 [size =\"22631424\"]\n  34 [size=\"14413824\", alpha=\"0.00\", expect_size=\"7206912\"] \n  34 -> 35 [size =\"7206912\"]\n  35 [size=\"34852864\", alpha=\"0.02\", expect_size=\"17426432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52743680\", alpha=\"0.13\", expect_size=\"21097472\"] \n  1 -> 7 [size =\"21097472\"]\n  1 -> 8 [size =\"21097472\"]\n  2 [size=\"98908160\", alpha=\"0.09\", expect_size=\"39563264\"] \n  2 -> 6 [size =\"39563264\"]\n  2 -> 7 [size =\"39563264\"]\n  2 -> 8 [size =\"39563264\"]\n  3 [size=\"113249280\", alpha=\"0.18\", expect_size=\"45299712\"] \n  3 -> 6 [size =\"45299712\"]\n  3 -> 7 [size =\"45299712\"]\n  3 -> 8 [size =\"45299712\"]\n  3 -> 9 [size =\"45299712\"]\n  4 [size=\"60958720\", alpha=\"0.06\", expect_size=\"24383488\"] \n  4 -> 6 [size =\"24383488\"]\n  4 -> 7 [size =\"24383488\"]\n  4 -> 8 [size =\"24383488\"]\n  4 -> 9 [size =\"24383488\"]\n  5 [size=\"25082880\", alpha=\"0.09\", expect_size=\"10033152\"] \n  5 -> 6 [size =\"10033152\"]\n  5 -> 8 [size =\"10033152\"]\n  5 -> 9 [size =\"10033152\"]\n  5 -> 9 [size =\"10033152\"]\n  6 [size=\"60195840\", alpha=\"0.13\", expect_size=\"24078336\"] \n  6 -> 10 [size =\"24078336\"]\n  6 -> 14 [size =\"24078336\"]\n  7 [size=\"110952960\", alpha=\"0.15\", expect_size=\"44381184\"] \n  7 -> 11 [size =\"44381184\"]\n  7 -> 13 [size =\"44381184\"]\n  8 [size=\"63687680\", alpha=\"0.08\", expect_size=\"25475072\"] \n  8 -> 10 [size =\"25475072\"]\n  8 -> 14 [size =\"25475072\"]\n  9 [size=\"25098240\", alpha=\"0.03\", expect_size=\"10039296\"] \n  9 -> 10 [size =\"10039296\"]\n  9 -> 12 [size =\"10039296\"]\n  9 -> 13 [size =\"10039296\"]\n  9 -> 14 [size =\"10039296\"]\n  10 [size=\"129804800\", alpha=\"0.08\", expect_size=\"51921920\"] \n  10 -> 15 [size =\"51921920\"]\n  10 -> 17 [size =\"51921920\"]\n  10 -> 19 [size =\"51921920\"]\n  10 -> 20 [size =\"51921920\"]\n  11 [size=\"119380480\", alpha=\"0.15\", expect_size=\"47752192\"] \n  11 -> 15 [size =\"47752192\"]\n  11 -> 16 [size =\"47752192\"]\n  11 -> 17 [size =\"47752192\"]\n  11 -> 18 [size =\"47752192\"]\n  11 -> 19 [size =\"47752192\"]\n  11 -> 20 [size =\"47752192\"]\n  12 [size=\"75865600\", alpha=\"0.05\", expect_size=\"30346240\"] \n  12 -> 15 [size =\"30346240\"]\n  12 -> 16 [size =\"30346240\"]\n  12 -> 17 [size =\"30346240\"]\n  12 -> 19 [size =\"30346240\"]\n  12 -> 20 [size =\"30346240\"]\n  13 [size=\"128417280\", alpha=\"0.02\", expect_size=\"51366912\"] \n  13 -> 15 [size =\"51366912\"]\n  13 -> 16 [size =\"51366912\"]\n  13 -> 17 [size =\"51366912\"]\n  13 -> 18 [size =\"51366912\"]\n  13 -> 19 [size =\"51366912\"]\n  13 -> 20 [size =\"51366912\"]\n  14 [size=\"117665280\", alpha=\"0.01\", expect_size=\"47066112\"] \n  14 -> 16 [size =\"47066112\"]\n  14 -> 17 [size =\"47066112\"]\n  14 -> 19 [size =\"47066112\"]\n  15 [size=\"36416000\", alpha=\"0.11\", expect_size=\"14566400\"] \n  15 -> 21 [size =\"14566400\"]\n  15 -> 22 [size =\"14566400\"]\n  15 -> 24 [size =\"14566400\"]\n  15 -> 25 [size =\"14566400\"]\n  16 [size=\"89182720\", alpha=\"0.16\", expect_size=\"35673088\"] \n  16 -> 21 [size =\"35673088\"]\n  16 -> 22 [size =\"35673088\"]\n  16 -> 23 [size =\"35673088\"]\n  17 [size=\"50460160\", alpha=\"0.11\", expect_size=\"20184064\"] \n  17 -> 21 [size =\"20184064\"]\n  17 -> 22 [size =\"20184064\"]\n  17 -> 23 [size =\"20184064\"]\n  17 -> 26 [size =\"20184064\"]\n  18 [size=\"20193280\", alpha=\"0.01\", expect_size=\"8077312\"] \n  18 -> 21 [size =\"8077312\"]\n  18 -> 22 [size =\"8077312\"]\n  18 -> 23 [size =\"8077312\"]\n  18 -> 24 [size =\"8077312\"]\n  18 -> 26 [size =\"8077312\"]\n  19 [size=\"67146240\", alpha=\"0.14\", expect_size=\"26858496\"] \n  19 -> 21 [size =\"26858496\"]\n  19 -> 22 [size =\"26858496\"]\n  19 -> 24 [size =\"26858496\"]\n  19 -> 26 [size =\"26858496\"]\n  20 [size=\"84101120\", alpha=\"0.05\", expect_size=\"33640448\"] \n  20 -> 22 [size =\"33640448\"]\n  20 -> 25 [size =\"33640448\"]\n  21 [size=\"130247680\", alpha=\"0.03\", expect_size=\"52099072\"] \n  21 -> 27 [size =\"52099072\"]\n  21 -> 29 [size =\"52099072\"]\n  21 -> 30 [size =\"52099072\"]\n  22 [size=\"97955840\", alpha=\"0.15\", expect_size=\"39182336\"] \n  22 -> 27 [size =\"39182336\"]\n  23 [size=\"126850560\", alpha=\"0.04\", expect_size=\"50740224\"] \n  23 -> 27 [size =\"50740224\"]\n  23 -> 28 [size =\"50740224\"]\n  23 -> 29 [size =\"50740224\"]\n  24 [size=\"21626880\", alpha=\"0.02\", expect_size=\"8650752\"] \n  24 -> 27 [size =\"8650752\"]\n  24 -> 29 [size =\"8650752\"]\n  24 -> 29 [size =\"8650752\"]\n  25 [size=\"29473280\", alpha=\"0.01\", expect_size=\"11789312\"] \n  25 -> 27 [size =\"11789312\"]\n  25 -> 29 [size =\"11789312\"]\n  25 -> 30 [size =\"11789312\"]\n  26 [size=\"92533760\", alpha=\"0.08\", expect_size=\"37013504\"] \n  26 -> 27 [size =\"37013504\"]\n  26 -> 29 [size =\"37013504\"]\n  26 -> 30 [size =\"37013504\"]\n  27 [size=\"68933120\", alpha=\"0.12\", expect_size=\"27573248\"] \n  27 -> 31 [size =\"27573248\"]\n  27 -> 32 [size =\"27573248\"]\n  27 -> 33 [size =\"27573248\"]\n  27 -> 34 [size =\"27573248\"]\n  27 -> 35 [size =\"27573248\"]\n  28 [size=\"16312320\", alpha=\"0.05\", expect_size=\"6524928\"] \n  28 -> 31 [size =\"6524928\"]\n  28 -> 34 [size =\"6524928\"]\n  28 -> 35 [size =\"6524928\"]\n  29 [size=\"20267520\", alpha=\"0.20\", expect_size=\"8107008\"] \n  29 -> 31 [size =\"8107008\"]\n  29 -> 33 [size =\"8107008\"]\n  29 -> 35 [size =\"8107008\"]\n  30 [size=\"102873600\", alpha=\"0.14\", expect_size=\"41149440\"] \n  30 -> 31 [size =\"41149440\"]\n  30 -> 32 [size =\"41149440\"]\n  30 -> 33 [size =\"41149440\"]\n  30 -> 35 [size =\"41149440\"]\n  31 [size=\"14499840\", alpha=\"0.06\", expect_size=\"5799936\"] \n  32 [size=\"30714880\", alpha=\"0.09\", expect_size=\"12285952\"] \n  33 [size=\"119352320\", alpha=\"0.12\", expect_size=\"47740928\"] \n  34 [size=\"26662400\", alpha=\"0.12\", expect_size=\"10664960\"] \n  35 [size=\"36428800\", alpha=\"0.16\", expect_size=\"14571520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15761920\", alpha=\"0.04\", expect_size=\"6304768\"] \n  1 -> 15 [size =\"6304768\"]\n  1 -> 21 [size =\"6304768\"]\n  2 [size=\"87104000\", alpha=\"0.09\", expect_size=\"34841600\"] \n  2 -> 15 [size =\"34841600\"]\n  2 -> 18 [size =\"34841600\"]\n  2 -> 20 [size =\"34841600\"]\n  3 [size=\"106639360\", alpha=\"0.07\", expect_size=\"42655744\"] \n  3 -> 15 [size =\"42655744\"]\n  3 -> 16 [size =\"42655744\"]\n  3 -> 20 [size =\"42655744\"]\n  3 -> 21 [size =\"42655744\"]\n  3 -> 22 [size =\"42655744\"]\n  4 [size=\"41313280\", alpha=\"0.17\", expect_size=\"16525312\"] \n  4 -> 15 [size =\"16525312\"]\n  4 -> 20 [size =\"16525312\"]\n  4 -> 21 [size =\"16525312\"]\n  4 -> 22 [size =\"16525312\"]\n  4 -> 22 [size =\"16525312\"]\n  5 [size=\"109547520\", alpha=\"0.10\", expect_size=\"43819008\"] \n  5 -> 17 [size =\"43819008\"]\n  5 -> 21 [size =\"43819008\"]\n  5 -> 22 [size =\"43819008\"]\n  6 [size=\"93957120\", alpha=\"0.02\", expect_size=\"37582848\"] \n  6 -> 17 [size =\"37582848\"]\n  6 -> 20 [size =\"37582848\"]\n  6 -> 21 [size =\"37582848\"]\n  7 [size=\"18001920\", alpha=\"0.10\", expect_size=\"7200768\"] \n  7 -> 15 [size =\"7200768\"]\n  7 -> 19 [size =\"7200768\"]\n  8 [size=\"26603520\", alpha=\"0.03\", expect_size=\"10641408\"] \n  8 -> 15 [size =\"10641408\"]\n  8 -> 18 [size =\"10641408\"]\n  8 -> 20 [size =\"10641408\"]\n  8 -> 21 [size =\"10641408\"]\n  8 -> 22 [size =\"10641408\"]\n  9 [size=\"85696000\", alpha=\"0.02\", expect_size=\"34278400\"] \n  9 -> 15 [size =\"34278400\"]\n  9 -> 17 [size =\"34278400\"]\n  9 -> 20 [size =\"34278400\"]\n  9 -> 21 [size =\"34278400\"]\n  9 -> 22 [size =\"34278400\"]\n  10 [size=\"84840960\", alpha=\"0.02\", expect_size=\"33936384\"] \n  10 -> 15 [size =\"33936384\"]\n  10 -> 22 [size =\"33936384\"]\n  11 [size=\"66872320\", alpha=\"0.07\", expect_size=\"26748928\"] \n  11 -> 15 [size =\"26748928\"]\n  11 -> 16 [size =\"26748928\"]\n  11 -> 19 [size =\"26748928\"]\n  11 -> 22 [size =\"26748928\"]\n  12 [size=\"88742400\", alpha=\"0.06\", expect_size=\"35496960\"] \n  12 -> 15 [size =\"35496960\"]\n  12 -> 21 [size =\"35496960\"]\n  12 -> 22 [size =\"35496960\"]\n  12 -> 22 [size =\"35496960\"]\n  13 [size=\"22901760\", alpha=\"0.00\", expect_size=\"9160704\"] \n  13 -> 15 [size =\"9160704\"]\n  13 -> 17 [size =\"9160704\"]\n  13 -> 22 [size =\"9160704\"]\n  14 [size=\"62755840\", alpha=\"0.19\", expect_size=\"25102336\"] \n  14 -> 15 [size =\"25102336\"]\n  14 -> 16 [size =\"25102336\"]\n  14 -> 20 [size =\"25102336\"]\n  14 -> 21 [size =\"25102336\"]\n  14 -> 22 [size =\"25102336\"]\n  15 [size=\"43996160\", alpha=\"0.15\", expect_size=\"17598464\"] \n  15 -> 23 [size =\"17598464\"]\n  15 -> 24 [size =\"17598464\"]\n  15 -> 25 [size =\"17598464\"]\n  15 -> 32 [size =\"17598464\"]\n  15 -> 35 [size =\"17598464\"]\n  16 [size=\"100743680\", alpha=\"0.13\", expect_size=\"40297472\"] \n  16 -> 23 [size =\"40297472\"]\n  16 -> 25 [size =\"40297472\"]\n  16 -> 25 [size =\"40297472\"]\n  16 -> 31 [size =\"40297472\"]\n  16 -> 32 [size =\"40297472\"]\n  16 -> 35 [size =\"40297472\"]\n  17 [size=\"113233920\", alpha=\"0.09\", expect_size=\"45293568\"] \n  17 -> 23 [size =\"45293568\"]\n  17 -> 25 [size =\"45293568\"]\n  17 -> 27 [size =\"45293568\"]\n  17 -> 30 [size =\"45293568\"]\n  17 -> 32 [size =\"45293568\"]\n  17 -> 34 [size =\"45293568\"]\n  17 -> 35 [size =\"45293568\"]\n  18 [size=\"54208000\", alpha=\"0.14\", expect_size=\"21683200\"] \n  18 -> 23 [size =\"21683200\"]\n  18 -> 30 [size =\"21683200\"]\n  18 -> 34 [size =\"21683200\"]\n  18 -> 35 [size =\"21683200\"]\n  19 [size=\"73574400\", alpha=\"0.06\", expect_size=\"29429760\"] \n  19 -> 23 [size =\"29429760\"]\n  19 -> 26 [size =\"29429760\"]\n  19 -> 28 [size =\"29429760\"]\n  19 -> 31 [size =\"29429760\"]\n  19 -> 32 [size =\"29429760\"]\n  19 -> 35 [size =\"29429760\"]\n  20 [size=\"84925440\", alpha=\"0.16\", expect_size=\"33970176\"] \n  20 -> 32 [size =\"33970176\"]\n  21 [size=\"97579520\", alpha=\"0.06\", expect_size=\"39031808\"] \n  21 -> 23 [size =\"39031808\"]\n  21 -> 25 [size =\"39031808\"]\n  21 -> 27 [size =\"39031808\"]\n  21 -> 29 [size =\"39031808\"]\n  21 -> 30 [size =\"39031808\"]\n  21 -> 31 [size =\"39031808\"]\n  21 -> 32 [size =\"39031808\"]\n  21 -> 33 [size =\"39031808\"]\n  21 -> 34 [size =\"39031808\"]\n  22 [size=\"21652480\", alpha=\"0.08\", expect_size=\"8660992\"] \n  22 -> 23 [size =\"8660992\"]\n  22 -> 25 [size =\"8660992\"]\n  22 -> 31 [size =\"8660992\"]\n  22 -> 32 [size =\"8660992\"]\n  22 -> 35 [size =\"8660992\"]\n  23 [size=\"54543360\", alpha=\"0.07\", expect_size=\"21817344\"] \n  24 [size=\"56965120\", alpha=\"0.10\", expect_size=\"22786048\"] \n  25 [size=\"53089280\", alpha=\"0.10\", expect_size=\"21235712\"] \n  26 [size=\"21076480\", alpha=\"0.03\", expect_size=\"8430592\"] \n  27 [size=\"97108480\", alpha=\"0.17\", expect_size=\"38843392\"] \n  28 [size=\"30771200\", alpha=\"0.14\", expect_size=\"12308480\"] \n  29 [size=\"114654720\", alpha=\"0.02\", expect_size=\"45861888\"] \n  30 [size=\"32867840\", alpha=\"0.03\", expect_size=\"13147136\"] \n  31 [size=\"125767680\", alpha=\"0.13\", expect_size=\"50307072\"] \n  32 [size=\"42114560\", alpha=\"0.16\", expect_size=\"16845824\"] \n  33 [size=\"91837440\", alpha=\"0.01\", expect_size=\"36734976\"] \n  34 [size=\"14571520\", alpha=\"0.14\", expect_size=\"5828608\"] \n  35 [size=\"74455040\", alpha=\"0.12\", expect_size=\"29782016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26166613\", alpha=\"0.15\", expect_size=\"7849984\"] \n  1 -> 7 [size =\"7849984\"]\n  1 -> 8 [size =\"7849984\"]\n  1 -> 9 [size =\"7849984\"]\n  2 [size=\"121937920\", alpha=\"0.11\", expect_size=\"36581376\"] \n  2 -> 6 [size =\"36581376\"]\n  2 -> 7 [size =\"36581376\"]\n  2 -> 8 [size =\"36581376\"]\n  3 [size=\"68887893\", alpha=\"0.13\", expect_size=\"20666368\"] \n  3 -> 6 [size =\"20666368\"]\n  3 -> 7 [size =\"20666368\"]\n  3 -> 8 [size =\"20666368\"]\n  3 -> 9 [size =\"20666368\"]\n  4 [size=\"98071893\", alpha=\"0.15\", expect_size=\"29421568\"] \n  4 -> 6 [size =\"29421568\"]\n  4 -> 7 [size =\"29421568\"]\n  4 -> 8 [size =\"29421568\"]\n  5 [size=\"57367893\", alpha=\"0.04\", expect_size=\"17210368\"] \n  5 -> 6 [size =\"17210368\"]\n  5 -> 7 [size =\"17210368\"]\n  5 -> 8 [size =\"17210368\"]\n  5 -> 9 [size =\"17210368\"]\n  6 [size=\"134676480\", alpha=\"0.15\", expect_size=\"40402944\"] \n  6 -> 13 [size =\"40402944\"]\n  6 -> 14 [size =\"40402944\"]\n  6 -> 15 [size =\"40402944\"]\n  6 -> 16 [size =\"40402944\"]\n  7 [size=\"109858133\", alpha=\"0.16\", expect_size=\"32957440\"] \n  7 -> 11 [size =\"32957440\"]\n  7 -> 12 [size =\"32957440\"]\n  7 -> 13 [size =\"32957440\"]\n  7 -> 14 [size =\"32957440\"]\n  7 -> 16 [size =\"32957440\"]\n  8 [size=\"131990187\", alpha=\"0.08\", expect_size=\"39597056\"] \n  8 -> 10 [size =\"39597056\"]\n  8 -> 13 [size =\"39597056\"]\n  8 -> 15 [size =\"39597056\"]\n  8 -> 16 [size =\"39597056\"]\n  9 [size=\"27863040\", alpha=\"0.11\", expect_size=\"8358912\"] \n  9 -> 13 [size =\"8358912\"]\n  9 -> 14 [size =\"8358912\"]\n  9 -> 15 [size =\"8358912\"]\n  9 -> 16 [size =\"8358912\"]\n  10 [size=\"46462293\", alpha=\"0.18\", expect_size=\"13938688\"] \n  10 -> 18 [size =\"13938688\"]\n  11 [size=\"127324160\", alpha=\"0.08\", expect_size=\"38197248\"] \n  11 -> 18 [size =\"38197248\"]\n  12 [size=\"90030080\", alpha=\"0.19\", expect_size=\"27009024\"] \n  12 -> 18 [size =\"27009024\"]\n  13 [size=\"19773440\", alpha=\"0.14\", expect_size=\"5932032\"] \n  13 -> 18 [size =\"5932032\"]\n  14 [size=\"118702080\", alpha=\"0.05\", expect_size=\"35610624\"] \n  14 -> 17 [size =\"35610624\"]\n  14 -> 18 [size =\"35610624\"]\n  14 -> 19 [size =\"35610624\"]\n  15 [size=\"78653440\", alpha=\"0.09\", expect_size=\"23596032\"] \n  16 [size=\"111121067\", alpha=\"0.10\", expect_size=\"33336320\"] \n  17 [size=\"70557013\", alpha=\"0.01\", expect_size=\"21167104\"] \n  17 -> 20 [size =\"21167104\"]\n  17 -> 21 [size =\"21167104\"]\n  18 [size=\"38092800\", alpha=\"0.08\", expect_size=\"11427840\"] \n  18 -> 20 [size =\"11427840\"]\n  18 -> 21 [size =\"11427840\"]\n  19 [size=\"100867413\", alpha=\"0.14\", expect_size=\"30260224\"] \n  19 -> 20 [size =\"30260224\"]\n  19 -> 21 [size =\"30260224\"]\n  19 -> 22 [size =\"30260224\"]\n  20 [size=\"32617813\", alpha=\"0.13\", expect_size=\"9785344\"] \n  20 -> 23 [size =\"9785344\"]\n  20 -> 24 [size =\"9785344\"]\n  20 -> 25 [size =\"9785344\"]\n  20 -> 26 [size =\"9785344\"]\n  20 -> 27 [size =\"9785344\"]\n  21 [size=\"20125013\", alpha=\"0.13\", expect_size=\"6037504\"] \n  21 -> 24 [size =\"6037504\"]\n  21 -> 26 [size =\"6037504\"]\n  21 -> 27 [size =\"6037504\"]\n  22 [size=\"81298773\", alpha=\"0.06\", expect_size=\"24389632\"] \n  22 -> 23 [size =\"24389632\"]\n  22 -> 24 [size =\"24389632\"]\n  22 -> 25 [size =\"24389632\"]\n  22 -> 26 [size =\"24389632\"]\n  23 [size=\"71540053\", alpha=\"0.06\", expect_size=\"21462016\"] \n  23 -> 28 [size =\"21462016\"]\n  23 -> 31 [size =\"21462016\"]\n  24 [size=\"21739520\", alpha=\"0.16\", expect_size=\"6521856\"] \n  24 -> 31 [size =\"6521856\"]\n  25 [size=\"63464107\", alpha=\"0.11\", expect_size=\"19039232\"] \n  25 -> 28 [size =\"19039232\"]\n  25 -> 29 [size =\"19039232\"]\n  25 -> 30 [size =\"19039232\"]\n  26 [size=\"130628267\", alpha=\"0.01\", expect_size=\"39188480\"] \n  26 -> 28 [size =\"39188480\"]\n  26 -> 30 [size =\"39188480\"]\n  26 -> 30 [size =\"39188480\"]\n  27 [size=\"54217387\", alpha=\"0.03\", expect_size=\"16265216\"] \n  27 -> 28 [size =\"16265216\"]\n  27 -> 29 [size =\"16265216\"]\n  27 -> 30 [size =\"16265216\"]\n  28 [size=\"59890347\", alpha=\"0.19\", expect_size=\"17967104\"] \n  28 -> 32 [size =\"17967104\"]\n  28 -> 33 [size =\"17967104\"]\n  28 -> 35 [size =\"17967104\"]\n  29 [size=\"121835520\", alpha=\"0.17\", expect_size=\"36550656\"] \n  29 -> 32 [size =\"36550656\"]\n  29 -> 33 [size =\"36550656\"]\n  29 -> 34 [size =\"36550656\"]\n  29 -> 35 [size =\"36550656\"]\n  30 [size=\"75700907\", alpha=\"0.18\", expect_size=\"22710272\"] \n  30 -> 32 [size =\"22710272\"]\n  30 -> 33 [size =\"22710272\"]\n  30 -> 34 [size =\"22710272\"]\n  30 -> 35 [size =\"22710272\"]\n  31 [size=\"20480000\", alpha=\"0.13\", expect_size=\"6144000\"] \n  31 -> 32 [size =\"6144000\"]\n  31 -> 33 [size =\"6144000\"]\n  31 -> 35 [size =\"6144000\"]\n  32 [size=\"122146133\", alpha=\"0.18\", expect_size=\"36643840\"] \n  33 [size=\"170591573\", alpha=\"0.03\", expect_size=\"51177472\"] \n  34 [size=\"59948373\", alpha=\"0.00\", expect_size=\"17984512\"] \n  35 [size=\"28091733\", alpha=\"0.06\", expect_size=\"8427520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105465173\", alpha=\"0.20\", expect_size=\"31639552\"] \n  1 -> 22 [size =\"31639552\"]\n  1 -> 26 [size =\"31639552\"]\n  1 -> 27 [size =\"31639552\"]\n  1 -> 30 [size =\"31639552\"]\n  1 -> 32 [size =\"31639552\"]\n  1 -> 33 [size =\"31639552\"]\n  1 -> 35 [size =\"31639552\"]\n  2 [size=\"107130880\", alpha=\"0.02\", expect_size=\"32139264\"] \n  2 -> 23 [size =\"32139264\"]\n  2 -> 24 [size =\"32139264\"]\n  2 -> 25 [size =\"32139264\"]\n  2 -> 26 [size =\"32139264\"]\n  2 -> 29 [size =\"32139264\"]\n  2 -> 30 [size =\"32139264\"]\n  2 -> 31 [size =\"32139264\"]\n  2 -> 33 [size =\"32139264\"]\n  3 [size=\"122115413\", alpha=\"0.06\", expect_size=\"36634624\"] \n  3 -> 24 [size =\"36634624\"]\n  3 -> 24 [size =\"36634624\"]\n  3 -> 25 [size =\"36634624\"]\n  3 -> 28 [size =\"36634624\"]\n  3 -> 29 [size =\"36634624\"]\n  3 -> 30 [size =\"36634624\"]\n  3 -> 35 [size =\"36634624\"]\n  4 [size=\"172721493\", alpha=\"0.13\", expect_size=\"51816448\"] \n  4 -> 22 [size =\"51816448\"]\n  4 -> 23 [size =\"51816448\"]\n  4 -> 24 [size =\"51816448\"]\n  4 -> 26 [size =\"51816448\"]\n  4 -> 27 [size =\"51816448\"]\n  4 -> 29 [size =\"51816448\"]\n  4 -> 30 [size =\"51816448\"]\n  4 -> 35 [size =\"51816448\"]\n  5 [size=\"66099200\", alpha=\"0.10\", expect_size=\"19829760\"] \n  5 -> 22 [size =\"19829760\"]\n  5 -> 24 [size =\"19829760\"]\n  5 -> 26 [size =\"19829760\"]\n  5 -> 27 [size =\"19829760\"]\n  5 -> 29 [size =\"19829760\"]\n  5 -> 29 [size =\"19829760\"]\n  5 -> 32 [size =\"19829760\"]\n  5 -> 35 [size =\"19829760\"]\n  6 [size=\"102410240\", alpha=\"0.01\", expect_size=\"30723072\"] \n  6 -> 22 [size =\"30723072\"]\n  6 -> 24 [size =\"30723072\"]\n  6 -> 26 [size =\"30723072\"]\n  6 -> 28 [size =\"30723072\"]\n  6 -> 30 [size =\"30723072\"]\n  6 -> 31 [size =\"30723072\"]\n  6 -> 33 [size =\"30723072\"]\n  6 -> 35 [size =\"30723072\"]\n  7 [size=\"79970987\", alpha=\"0.02\", expect_size=\"23991296\"] \n  7 -> 22 [size =\"23991296\"]\n  7 -> 24 [size =\"23991296\"]\n  7 -> 26 [size =\"23991296\"]\n  7 -> 29 [size =\"23991296\"]\n  7 -> 30 [size =\"23991296\"]\n  7 -> 31 [size =\"23991296\"]\n  7 -> 33 [size =\"23991296\"]\n  8 [size=\"172595200\", alpha=\"0.14\", expect_size=\"51778560\"] \n  8 -> 22 [size =\"51778560\"]\n  8 -> 23 [size =\"51778560\"]\n  8 -> 27 [size =\"51778560\"]\n  8 -> 29 [size =\"51778560\"]\n  8 -> 30 [size =\"51778560\"]\n  8 -> 31 [size =\"51778560\"]\n  8 -> 32 [size =\"51778560\"]\n  8 -> 33 [size =\"51778560\"]\n  8 -> 35 [size =\"51778560\"]\n  9 [size=\"96972800\", alpha=\"0.09\", expect_size=\"29091840\"] \n  9 -> 22 [size =\"29091840\"]\n  9 -> 24 [size =\"29091840\"]\n  9 -> 26 [size =\"29091840\"]\n  9 -> 29 [size =\"29091840\"]\n  9 -> 30 [size =\"29091840\"]\n  9 -> 31 [size =\"29091840\"]\n  9 -> 33 [size =\"29091840\"]\n  10 [size=\"151770453\", alpha=\"0.16\", expect_size=\"45531136\"] \n  10 -> 22 [size =\"45531136\"]\n  10 -> 23 [size =\"45531136\"]\n  10 -> 24 [size =\"45531136\"]\n  10 -> 28 [size =\"45531136\"]\n  10 -> 29 [size =\"45531136\"]\n  10 -> 30 [size =\"45531136\"]\n  10 -> 33 [size =\"45531136\"]\n  10 -> 34 [size =\"45531136\"]\n  10 -> 35 [size =\"45531136\"]\n  11 [size=\"20179627\", alpha=\"0.02\", expect_size=\"6053888\"] \n  11 -> 22 [size =\"6053888\"]\n  11 -> 24 [size =\"6053888\"]\n  11 -> 25 [size =\"6053888\"]\n  11 -> 27 [size =\"6053888\"]\n  11 -> 28 [size =\"6053888\"]\n  11 -> 30 [size =\"6053888\"]\n  11 -> 33 [size =\"6053888\"]\n  11 -> 34 [size =\"6053888\"]\n  11 -> 35 [size =\"6053888\"]\n  12 [size=\"17851733\", alpha=\"0.13\", expect_size=\"5355520\"] \n  12 -> 22 [size =\"5355520\"]\n  12 -> 25 [size =\"5355520\"]\n  12 -> 26 [size =\"5355520\"]\n  12 -> 27 [size =\"5355520\"]\n  12 -> 28 [size =\"5355520\"]\n  12 -> 29 [size =\"5355520\"]\n  12 -> 30 [size =\"5355520\"]\n  12 -> 33 [size =\"5355520\"]\n  12 -> 35 [size =\"5355520\"]\n  13 [size=\"33986560\", alpha=\"0.06\", expect_size=\"10195968\"] \n  13 -> 22 [size =\"10195968\"]\n  13 -> 24 [size =\"10195968\"]\n  13 -> 25 [size =\"10195968\"]\n  13 -> 26 [size =\"10195968\"]\n  13 -> 33 [size =\"10195968\"]\n  13 -> 35 [size =\"10195968\"]\n  14 [size=\"77963947\", alpha=\"0.13\", expect_size=\"23389184\"] \n  14 -> 22 [size =\"23389184\"]\n  14 -> 24 [size =\"23389184\"]\n  14 -> 26 [size =\"23389184\"]\n  14 -> 27 [size =\"23389184\"]\n  14 -> 28 [size =\"23389184\"]\n  14 -> 29 [size =\"23389184\"]\n  14 -> 33 [size =\"23389184\"]\n  14 -> 35 [size =\"23389184\"]\n  15 [size=\"23514453\", alpha=\"0.16\", expect_size=\"7054336\"] \n  15 -> 22 [size =\"7054336\"]\n  15 -> 23 [size =\"7054336\"]\n  15 -> 24 [size =\"7054336\"]\n  15 -> 25 [size =\"7054336\"]\n  15 -> 28 [size =\"7054336\"]\n  15 -> 31 [size =\"7054336\"]\n  15 -> 33 [size =\"7054336\"]\n  15 -> 35 [size =\"7054336\"]\n  16 [size=\"100297387\", alpha=\"0.15\", expect_size=\"30089216\"] \n  16 -> 22 [size =\"30089216\"]\n  16 -> 24 [size =\"30089216\"]\n  16 -> 25 [size =\"30089216\"]\n  16 -> 26 [size =\"30089216\"]\n  16 -> 29 [size =\"30089216\"]\n  16 -> 33 [size =\"30089216\"]\n  16 -> 35 [size =\"30089216\"]\n  16 -> 35 [size =\"30089216\"]\n  17 [size=\"110325760\", alpha=\"0.01\", expect_size=\"33097728\"] \n  17 -> 22 [size =\"33097728\"]\n  17 -> 24 [size =\"33097728\"]\n  17 -> 26 [size =\"33097728\"]\n  17 -> 34 [size =\"33097728\"]\n  17 -> 35 [size =\"33097728\"]\n  18 [size=\"126877013\", alpha=\"0.01\", expect_size=\"38063104\"] \n  18 -> 22 [size =\"38063104\"]\n  18 -> 23 [size =\"38063104\"]\n  18 -> 25 [size =\"38063104\"]\n  18 -> 35 [size =\"38063104\"]\n  19 [size=\"78428160\", alpha=\"0.09\", expect_size=\"23528448\"] \n  19 -> 22 [size =\"23528448\"]\n  19 -> 25 [size =\"23528448\"]\n  19 -> 26 [size =\"23528448\"]\n  19 -> 30 [size =\"23528448\"]\n  19 -> 32 [size =\"23528448\"]\n  19 -> 34 [size =\"23528448\"]\n  19 -> 35 [size =\"23528448\"]\n  20 [size=\"151978667\", alpha=\"0.11\", expect_size=\"45593600\"] \n  20 -> 22 [size =\"45593600\"]\n  20 -> 23 [size =\"45593600\"]\n  20 -> 26 [size =\"45593600\"]\n  20 -> 28 [size =\"45593600\"]\n  20 -> 30 [size =\"45593600\"]\n  20 -> 31 [size =\"45593600\"]\n  20 -> 35 [size =\"45593600\"]\n  21 [size=\"118480213\", alpha=\"0.04\", expect_size=\"35544064\"] \n  21 -> 22 [size =\"35544064\"]\n  21 -> 24 [size =\"35544064\"]\n  21 -> 25 [size =\"35544064\"]\n  21 -> 26 [size =\"35544064\"]\n  21 -> 28 [size =\"35544064\"]\n  21 -> 31 [size =\"35544064\"]\n  21 -> 32 [size =\"35544064\"]\n  21 -> 33 [size =\"35544064\"]\n  21 -> 35 [size =\"35544064\"]\n  22 [size=\"132771840\", alpha=\"0.08\", expect_size=\"39831552\"] \n  23 [size=\"79834453\", alpha=\"0.05\", expect_size=\"23950336\"] \n  24 [size=\"126474240\", alpha=\"0.03\", expect_size=\"37942272\"] \n  25 [size=\"70301013\", alpha=\"0.06\", expect_size=\"21090304\"] \n  26 [size=\"39069013\", alpha=\"0.00\", expect_size=\"11720704\"] \n  27 [size=\"159078400\", alpha=\"0.02\", expect_size=\"47723520\"] \n  28 [size=\"163099307\", alpha=\"0.04\", expect_size=\"48929792\"] \n  29 [size=\"173086720\", alpha=\"0.16\", expect_size=\"51926016\"] \n  30 [size=\"89262080\", alpha=\"0.05\", expect_size=\"26778624\"] \n  31 [size=\"17947307\", alpha=\"0.15\", expect_size=\"5384192\"] \n  32 [size=\"47141547\", alpha=\"0.04\", expect_size=\"14142464\"] \n  33 [size=\"109206187\", alpha=\"0.16\", expect_size=\"32761856\"] \n  34 [size=\"151500800\", alpha=\"0.15\", expect_size=\"45450240\"] \n  35 [size=\"171977387\", alpha=\"0.15\", expect_size=\"51593216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49008640\", alpha=\"0.06\", expect_size=\"19603456\"] \n  1 -> 4 [size =\"19603456\"]\n  1 -> 6 [size =\"19603456\"]\n  1 -> 7 [size =\"19603456\"]\n  1 -> 8 [size =\"19603456\"]\n  2 [size=\"30932480\", alpha=\"0.06\", expect_size=\"12372992\"] \n  2 -> 5 [size =\"12372992\"]\n  2 -> 6 [size =\"12372992\"]\n  2 -> 9 [size =\"12372992\"]\n  3 [size=\"22579200\", alpha=\"0.01\", expect_size=\"9031680\"] \n  3 -> 8 [size =\"9031680\"]\n  4 [size=\"113459200\", alpha=\"0.11\", expect_size=\"45383680\"] \n  4 -> 10 [size =\"45383680\"]\n  4 -> 11 [size =\"45383680\"]\n  5 [size=\"116208640\", alpha=\"0.04\", expect_size=\"46483456\"] \n  5 -> 10 [size =\"46483456\"]\n  6 [size=\"13132800\", alpha=\"0.18\", expect_size=\"5253120\"] \n  7 [size=\"48215040\", alpha=\"0.10\", expect_size=\"19286016\"] \n  7 -> 12 [size =\"19286016\"]\n  8 [size=\"109184000\", alpha=\"0.09\", expect_size=\"43673600\"] \n  8 -> 11 [size =\"43673600\"]\n  9 [size=\"128555520\", alpha=\"0.16\", expect_size=\"51422208\"] \n  9 -> 12 [size =\"51422208\"]\n  10 [size=\"70853120\", alpha=\"0.00\", expect_size=\"28341248\"] \n  10 -> 13 [size =\"28341248\"]\n  10 -> 14 [size =\"28341248\"]\n  11 [size=\"44321280\", alpha=\"0.16\", expect_size=\"17728512\"] \n  11 -> 13 [size =\"17728512\"]\n  11 -> 16 [size =\"17728512\"]\n  12 [size=\"80796160\", alpha=\"0.01\", expect_size=\"32318464\"] \n  12 -> 15 [size =\"32318464\"]\n  12 -> 16 [size =\"32318464\"]\n  13 [size=\"115028480\", alpha=\"0.08\", expect_size=\"46011392\"] \n  13 -> 17 [size =\"46011392\"]\n  13 -> 18 [size =\"46011392\"]\n  13 -> 20 [size =\"46011392\"]\n  14 [size=\"122787840\", alpha=\"0.16\", expect_size=\"49115136\"] \n  14 -> 18 [size =\"49115136\"]\n  14 -> 19 [size =\"49115136\"]\n  14 -> 20 [size =\"49115136\"]\n  15 [size=\"68354560\", alpha=\"0.16\", expect_size=\"27341824\"] \n  16 [size=\"94794240\", alpha=\"0.19\", expect_size=\"37917696\"] \n  16 -> 19 [size =\"37917696\"]\n  17 [size=\"85324800\", alpha=\"0.12\", expect_size=\"34129920\"] \n  17 -> 22 [size =\"34129920\"]\n  17 -> 23 [size =\"34129920\"]\n  17 -> 24 [size =\"34129920\"]\n  17 -> 25 [size =\"34129920\"]\n  18 [size=\"23426560\", alpha=\"0.06\", expect_size=\"9370624\"] \n  18 -> 22 [size =\"9370624\"]\n  19 [size=\"78131200\", alpha=\"0.09\", expect_size=\"31252480\"] \n  19 -> 21 [size =\"31252480\"]\n  19 -> 23 [size =\"31252480\"]\n  19 -> 24 [size =\"31252480\"]\n  20 [size=\"56417280\", alpha=\"0.08\", expect_size=\"22566912\"] \n  20 -> 21 [size =\"22566912\"]\n  21 [size=\"57300480\", alpha=\"0.12\", expect_size=\"22920192\"] \n  21 -> 26 [size =\"22920192\"]\n  21 -> 29 [size =\"22920192\"]\n  22 [size=\"34306560\", alpha=\"0.00\", expect_size=\"13722624\"] \n  22 -> 26 [size =\"13722624\"]\n  22 -> 28 [size =\"13722624\"]\n  23 [size=\"41584640\", alpha=\"0.10\", expect_size=\"16633856\"] \n  23 -> 27 [size =\"16633856\"]\n  23 -> 28 [size =\"16633856\"]\n  23 -> 30 [size =\"16633856\"]\n  24 [size=\"90257920\", alpha=\"0.16\", expect_size=\"36103168\"] \n  25 [size=\"66667520\", alpha=\"0.20\", expect_size=\"26667008\"] \n  25 -> 26 [size =\"26667008\"]\n  25 -> 27 [size =\"26667008\"]\n  25 -> 28 [size =\"26667008\"]\n  25 -> 29 [size =\"26667008\"]\n  25 -> 30 [size =\"26667008\"]\n  26 [size=\"44428800\", alpha=\"0.04\", expect_size=\"17771520\"] \n  26 -> 32 [size =\"17771520\"]\n  26 -> 33 [size =\"17771520\"]\n  26 -> 34 [size =\"17771520\"]\n  27 [size=\"40107520\", alpha=\"0.14\", expect_size=\"16043008\"] \n  28 [size=\"113052160\", alpha=\"0.20\", expect_size=\"45220864\"] \n  28 -> 31 [size =\"45220864\"]\n  28 -> 33 [size =\"45220864\"]\n  29 [size=\"31733760\", alpha=\"0.05\", expect_size=\"12693504\"] \n  29 -> 32 [size =\"12693504\"]\n  29 -> 34 [size =\"12693504\"]\n  30 [size=\"84628480\", alpha=\"0.01\", expect_size=\"33851392\"] \n  31 [size=\"129730560\", alpha=\"0.02\", expect_size=\"51892224\"] \n  32 [size=\"84981760\", alpha=\"0.14\", expect_size=\"33992704\"] \n  32 -> 35 [size =\"33992704\"]\n  33 [size=\"86172160\", alpha=\"0.04\", expect_size=\"34468864\"] \n  33 -> 35 [size =\"34468864\"]\n  34 [size=\"24808960\", alpha=\"0.12\", expect_size=\"9923584\"] \n  35 [size=\"119214080\", alpha=\"0.09\", expect_size=\"47685632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94208000\", alpha=\"0.06\", expect_size=\"47104000\"] \n  1 -> 4 [size =\"47104000\"]\n  1 -> 6 [size =\"47104000\"]\n  1 -> 7 [size =\"47104000\"]\n  2 [size=\"23179264\", alpha=\"0.07\", expect_size=\"11589632\"] \n  2 -> 4 [size =\"11589632\"]\n  2 -> 6 [size =\"11589632\"]\n  3 [size=\"36485120\", alpha=\"0.14\", expect_size=\"18242560\"] \n  3 -> 4 [size =\"18242560\"]\n  3 -> 5 [size =\"18242560\"]\n  4 [size=\"19650560\", alpha=\"0.04\", expect_size=\"9825280\"] \n  4 -> 8 [size =\"9825280\"]\n  4 -> 9 [size =\"9825280\"]\n  4 -> 12 [size =\"9825280\"]\n  5 [size=\"75317248\", alpha=\"0.08\", expect_size=\"37658624\"] \n  5 -> 11 [size =\"37658624\"]\n  6 [size=\"54949888\", alpha=\"0.02\", expect_size=\"27474944\"] \n  6 -> 8 [size =\"27474944\"]\n  6 -> 9 [size =\"27474944\"]\n  6 -> 10 [size =\"27474944\"]\n  6 -> 11 [size =\"27474944\"]\n  6 -> 13 [size =\"27474944\"]\n  7 [size=\"43075584\", alpha=\"0.17\", expect_size=\"21537792\"] \n  7 -> 8 [size =\"21537792\"]\n  7 -> 9 [size =\"21537792\"]\n  7 -> 10 [size =\"21537792\"]\n  7 -> 11 [size =\"21537792\"]\n  7 -> 12 [size =\"21537792\"]\n  8 [size=\"20922368\", alpha=\"0.02\", expect_size=\"10461184\"] \n  8 -> 14 [size =\"10461184\"]\n  9 [size=\"50786304\", alpha=\"0.04\", expect_size=\"25393152\"] \n  9 -> 15 [size =\"25393152\"]\n  10 [size=\"24588288\", alpha=\"0.04\", expect_size=\"12294144\"] \n  10 -> 15 [size =\"12294144\"]\n  11 [size=\"98586624\", alpha=\"0.14\", expect_size=\"49293312\"] \n  11 -> 15 [size =\"49293312\"]\n  12 [size=\"34357248\", alpha=\"0.13\", expect_size=\"17178624\"] \n  13 [size=\"68655104\", alpha=\"0.13\", expect_size=\"34327552\"] \n  14 [size=\"42029056\", alpha=\"0.07\", expect_size=\"21014528\"] \n  14 -> 16 [size =\"21014528\"]\n  14 -> 18 [size =\"21014528\"]\n  14 -> 20 [size =\"21014528\"]\n  14 -> 21 [size =\"21014528\"]\n  15 [size=\"62345216\", alpha=\"0.07\", expect_size=\"31172608\"] \n  15 -> 16 [size =\"31172608\"]\n  15 -> 17 [size =\"31172608\"]\n  15 -> 19 [size =\"31172608\"]\n  15 -> 20 [size =\"31172608\"]\n  15 -> 21 [size =\"31172608\"]\n  16 [size=\"102141952\", alpha=\"0.06\", expect_size=\"51070976\"] \n  16 -> 23 [size =\"51070976\"]\n  16 -> 27 [size =\"51070976\"]\n  17 [size=\"18683904\", alpha=\"0.00\", expect_size=\"9341952\"] \n  17 -> 25 [size =\"9341952\"]\n  17 -> 26 [size =\"9341952\"]\n  17 -> 27 [size =\"9341952\"]\n  18 [size=\"98486272\", alpha=\"0.01\", expect_size=\"49243136\"] \n  18 -> 22 [size =\"49243136\"]\n  18 -> 24 [size =\"49243136\"]\n  18 -> 27 [size =\"49243136\"]\n  19 [size=\"13555712\", alpha=\"0.17\", expect_size=\"6777856\"] \n  19 -> 22 [size =\"6777856\"]\n  19 -> 23 [size =\"6777856\"]\n  19 -> 25 [size =\"6777856\"]\n  19 -> 26 [size =\"6777856\"]\n  20 [size=\"31111168\", alpha=\"0.13\", expect_size=\"15555584\"] \n  21 [size=\"50419712\", alpha=\"0.06\", expect_size=\"25209856\"] \n  21 -> 27 [size =\"25209856\"]\n  21 -> 28 [size =\"25209856\"]\n  22 [size=\"20080640\", alpha=\"0.02\", expect_size=\"10040320\"] \n  22 -> 29 [size =\"10040320\"]\n  23 [size=\"79767552\", alpha=\"0.03\", expect_size=\"39883776\"] \n  23 -> 30 [size =\"39883776\"]\n  24 [size=\"45058048\", alpha=\"0.06\", expect_size=\"22529024\"] \n  25 [size=\"79939584\", alpha=\"0.03\", expect_size=\"39969792\"] \n  26 [size=\"18827264\", alpha=\"0.10\", expect_size=\"9413632\"] \n  26 -> 30 [size =\"9413632\"]\n  27 [size=\"48304128\", alpha=\"0.03\", expect_size=\"24152064\"] \n  27 -> 29 [size =\"24152064\"]\n  27 -> 30 [size =\"24152064\"]\n  28 [size=\"48470016\", alpha=\"0.19\", expect_size=\"24235008\"] \n  28 -> 30 [size =\"24235008\"]\n  29 [size=\"53131264\", alpha=\"0.03\", expect_size=\"26565632\"] \n  29 -> 31 [size =\"26565632\"]\n  29 -> 32 [size =\"26565632\"]\n  29 -> 33 [size =\"26565632\"]\n  29 -> 34 [size =\"26565632\"]\n  29 -> 35 [size =\"26565632\"]\n  30 [size=\"40583168\", alpha=\"0.10\", expect_size=\"20291584\"] \n  30 -> 31 [size =\"20291584\"]\n  30 -> 32 [size =\"20291584\"]\n  30 -> 33 [size =\"20291584\"]\n  30 -> 34 [size =\"20291584\"]\n  30 -> 35 [size =\"20291584\"]\n  31 [size=\"100784128\", alpha=\"0.16\", expect_size=\"50392064\"] \n  32 [size=\"34342912\", alpha=\"0.07\", expect_size=\"17171456\"] \n  33 [size=\"42694656\", alpha=\"0.10\", expect_size=\"21347328\"] \n  34 [size=\"57468928\", alpha=\"0.20\", expect_size=\"28734464\"] \n  35 [size=\"87834624\", alpha=\"0.01\", expect_size=\"43917312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132068693\", alpha=\"0.18\", expect_size=\"39620608\"] \n  1 -> 18 [size =\"39620608\"]\n  1 -> 20 [size =\"39620608\"]\n  1 -> 21 [size =\"39620608\"]\n  1 -> 26 [size =\"39620608\"]\n  1 -> 28 [size =\"39620608\"]\n  2 [size=\"55756800\", alpha=\"0.10\", expect_size=\"16727040\"] \n  2 -> 18 [size =\"16727040\"]\n  2 -> 22 [size =\"16727040\"]\n  2 -> 24 [size =\"16727040\"]\n  2 -> 25 [size =\"16727040\"]\n  2 -> 26 [size =\"16727040\"]\n  2 -> 27 [size =\"16727040\"]\n  3 [size=\"119166293\", alpha=\"0.19\", expect_size=\"35749888\"] \n  3 -> 16 [size =\"35749888\"]\n  3 -> 17 [size =\"35749888\"]\n  3 -> 23 [size =\"35749888\"]\n  3 -> 27 [size =\"35749888\"]\n  4 [size=\"58429440\", alpha=\"0.15\", expect_size=\"17528832\"] \n  4 -> 16 [size =\"17528832\"]\n  4 -> 17 [size =\"17528832\"]\n  4 -> 27 [size =\"17528832\"]\n  5 [size=\"162730667\", alpha=\"0.13\", expect_size=\"48819200\"] \n  5 -> 16 [size =\"48819200\"]\n  5 -> 17 [size =\"48819200\"]\n  5 -> 18 [size =\"48819200\"]\n  5 -> 25 [size =\"48819200\"]\n  5 -> 27 [size =\"48819200\"]\n  6 [size=\"37799253\", alpha=\"0.17\", expect_size=\"11339776\"] \n  6 -> 16 [size =\"11339776\"]\n  6 -> 17 [size =\"11339776\"]\n  6 -> 18 [size =\"11339776\"]\n  6 -> 20 [size =\"11339776\"]\n  6 -> 23 [size =\"11339776\"]\n  6 -> 25 [size =\"11339776\"]\n  6 -> 27 [size =\"11339776\"]\n  7 [size=\"32839680\", alpha=\"0.04\", expect_size=\"9851904\"] \n  7 -> 16 [size =\"9851904\"]\n  7 -> 20 [size =\"9851904\"]\n  7 -> 26 [size =\"9851904\"]\n  7 -> 27 [size =\"9851904\"]\n  8 [size=\"84589227\", alpha=\"0.05\", expect_size=\"25376768\"] \n  8 -> 16 [size =\"25376768\"]\n  8 -> 17 [size =\"25376768\"]\n  8 -> 18 [size =\"25376768\"]\n  8 -> 19 [size =\"25376768\"]\n  8 -> 23 [size =\"25376768\"]\n  8 -> 25 [size =\"25376768\"]\n  8 -> 26 [size =\"25376768\"]\n  8 -> 27 [size =\"25376768\"]\n  9 [size=\"110172160\", alpha=\"0.05\", expect_size=\"33051648\"] \n  9 -> 16 [size =\"33051648\"]\n  9 -> 17 [size =\"33051648\"]\n  9 -> 23 [size =\"33051648\"]\n  9 -> 25 [size =\"33051648\"]\n  10 [size=\"63133013\", alpha=\"0.18\", expect_size=\"18939904\"] \n  10 -> 16 [size =\"18939904\"]\n  10 -> 17 [size =\"18939904\"]\n  10 -> 18 [size =\"18939904\"]\n  10 -> 20 [size =\"18939904\"]\n  11 [size=\"43816960\", alpha=\"0.20\", expect_size=\"13145088\"] \n  11 -> 17 [size =\"13145088\"]\n  11 -> 17 [size =\"13145088\"]\n  11 -> 20 [size =\"13145088\"]\n  11 -> 21 [size =\"13145088\"]\n  11 -> 22 [size =\"13145088\"]\n  11 -> 23 [size =\"13145088\"]\n  11 -> 26 [size =\"13145088\"]\n  11 -> 28 [size =\"13145088\"]\n  12 [size=\"27641173\", alpha=\"0.07\", expect_size=\"8292352\"] \n  12 -> 16 [size =\"8292352\"]\n  12 -> 18 [size =\"8292352\"]\n  12 -> 23 [size =\"8292352\"]\n  12 -> 27 [size =\"8292352\"]\n  13 [size=\"106424320\", alpha=\"0.14\", expect_size=\"31927296\"] \n  13 -> 16 [size =\"31927296\"]\n  13 -> 18 [size =\"31927296\"]\n  13 -> 21 [size =\"31927296\"]\n  13 -> 23 [size =\"31927296\"]\n  13 -> 25 [size =\"31927296\"]\n  13 -> 27 [size =\"31927296\"]\n  14 [size=\"100392960\", alpha=\"0.04\", expect_size=\"30117888\"] \n  14 -> 18 [size =\"30117888\"]\n  14 -> 18 [size =\"30117888\"]\n  14 -> 20 [size =\"30117888\"]\n  14 -> 21 [size =\"30117888\"]\n  14 -> 25 [size =\"30117888\"]\n  15 [size=\"63078400\", alpha=\"0.15\", expect_size=\"18923520\"] \n  15 -> 18 [size =\"18923520\"]\n  15 -> 21 [size =\"18923520\"]\n  15 -> 26 [size =\"18923520\"]\n  16 [size=\"162256213\", alpha=\"0.06\", expect_size=\"48676864\"] \n  16 -> 32 [size =\"48676864\"]\n  16 -> 34 [size =\"48676864\"]\n  16 -> 35 [size =\"48676864\"]\n  17 [size=\"136714240\", alpha=\"0.03\", expect_size=\"41014272\"] \n  17 -> 35 [size =\"41014272\"]\n  18 [size=\"171410773\", alpha=\"0.05\", expect_size=\"51423232\"] \n  18 -> 29 [size =\"51423232\"]\n  18 -> 34 [size =\"51423232\"]\n  19 [size=\"57146027\", alpha=\"0.15\", expect_size=\"17143808\"] \n  19 -> 33 [size =\"17143808\"]\n  19 -> 34 [size =\"17143808\"]\n  19 -> 35 [size =\"17143808\"]\n  20 [size=\"96269653\", alpha=\"0.06\", expect_size=\"28880896\"] \n  20 -> 30 [size =\"28880896\"]\n  20 -> 34 [size =\"28880896\"]\n  20 -> 35 [size =\"28880896\"]\n  21 [size=\"79523840\", alpha=\"0.11\", expect_size=\"23857152\"] \n  21 -> 30 [size =\"23857152\"]\n  21 -> 31 [size =\"23857152\"]\n  21 -> 32 [size =\"23857152\"]\n  21 -> 34 [size =\"23857152\"]\n  22 [size=\"77414400\", alpha=\"0.00\", expect_size=\"23224320\"] \n  22 -> 30 [size =\"23224320\"]\n  22 -> 33 [size =\"23224320\"]\n  23 [size=\"134652587\", alpha=\"0.03\", expect_size=\"40395776\"] \n  23 -> 29 [size =\"40395776\"]\n  23 -> 30 [size =\"40395776\"]\n  23 -> 32 [size =\"40395776\"]\n  23 -> 33 [size =\"40395776\"]\n  24 [size=\"88418987\", alpha=\"0.11\", expect_size=\"26525696\"] \n  24 -> 30 [size =\"26525696\"]\n  24 -> 30 [size =\"26525696\"]\n  24 -> 31 [size =\"26525696\"]\n  24 -> 33 [size =\"26525696\"]\n  25 [size=\"116350293\", alpha=\"0.17\", expect_size=\"34905088\"] \n  25 -> 30 [size =\"34905088\"]\n  25 -> 31 [size =\"34905088\"]\n  25 -> 31 [size =\"34905088\"]\n  25 -> 33 [size =\"34905088\"]\n  26 [size=\"79250773\", alpha=\"0.06\", expect_size=\"23775232\"] \n  26 -> 31 [size =\"23775232\"]\n  26 -> 35 [size =\"23775232\"]\n  27 [size=\"127959040\", alpha=\"0.17\", expect_size=\"38387712\"] \n  27 -> 29 [size =\"38387712\"]\n  27 -> 34 [size =\"38387712\"]\n  27 -> 35 [size =\"38387712\"]\n  28 [size=\"150753280\", alpha=\"0.16\", expect_size=\"45225984\"] \n  28 -> 29 [size =\"45225984\"]\n  28 -> 33 [size =\"45225984\"]\n  28 -> 35 [size =\"45225984\"]\n  29 [size=\"29422933\", alpha=\"0.08\", expect_size=\"8826880\"] \n  30 [size=\"150603093\", alpha=\"0.05\", expect_size=\"45180928\"] \n  31 [size=\"38232747\", alpha=\"0.05\", expect_size=\"11469824\"] \n  32 [size=\"121470293\", alpha=\"0.07\", expect_size=\"36441088\"] \n  33 [size=\"124026880\", alpha=\"0.20\", expect_size=\"37208064\"] \n  34 [size=\"147599360\", alpha=\"0.03\", expect_size=\"44279808\"] \n  35 [size=\"75851093\", alpha=\"0.13\", expect_size=\"22755328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68354048\", alpha=\"0.19\", expect_size=\"34177024\"] \n  1 -> 2 [size =\"34177024\"]\n  2 [size=\"88412160\", alpha=\"0.06\", expect_size=\"44206080\"] \n  2 -> 3 [size =\"44206080\"]\n  3 [size=\"91207680\", alpha=\"0.09\", expect_size=\"45603840\"] \n  3 -> 4 [size =\"45603840\"]\n  4 [size=\"22087680\", alpha=\"0.09\", expect_size=\"11043840\"] \n  4 -> 5 [size =\"11043840\"]\n  5 [size=\"21776384\", alpha=\"0.02\", expect_size=\"10888192\"] \n  5 -> 6 [size =\"10888192\"]\n  6 [size=\"101072896\", alpha=\"0.08\", expect_size=\"50536448\"] \n  6 -> 7 [size =\"50536448\"]\n  7 [size=\"97402880\", alpha=\"0.09\", expect_size=\"48701440\"] \n  7 -> 8 [size =\"48701440\"]\n  8 [size=\"28741632\", alpha=\"0.17\", expect_size=\"14370816\"] \n  8 -> 9 [size =\"14370816\"]\n  9 [size=\"104251392\", alpha=\"0.08\", expect_size=\"52125696\"] \n  9 -> 10 [size =\"52125696\"]\n  10 [size=\"68843520\", alpha=\"0.02\", expect_size=\"34421760\"] \n  10 -> 11 [size =\"34421760\"]\n  11 [size=\"100581376\", alpha=\"0.13\", expect_size=\"50290688\"] \n  11 -> 12 [size =\"50290688\"]\n  12 [size=\"98078720\", alpha=\"0.14\", expect_size=\"49039360\"] \n  12 -> 13 [size =\"49039360\"]\n  13 [size=\"31381504\", alpha=\"0.01\", expect_size=\"15690752\"] \n  13 -> 14 [size =\"15690752\"]\n  14 [size=\"72290304\", alpha=\"0.09\", expect_size=\"36145152\"] \n  14 -> 15 [size =\"36145152\"]\n  15 [size=\"18409472\", alpha=\"0.18\", expect_size=\"9204736\"] \n  15 -> 16 [size =\"9204736\"]\n  16 [size=\"29693952\", alpha=\"0.16\", expect_size=\"14846976\"] \n  16 -> 17 [size =\"14846976\"]\n  17 [size=\"66041856\", alpha=\"0.08\", expect_size=\"33020928\"] \n  17 -> 18 [size =\"33020928\"]\n  18 [size=\"11837440\", alpha=\"0.19\", expect_size=\"5918720\"] \n  18 -> 19 [size =\"5918720\"]\n  19 [size=\"91023360\", alpha=\"0.10\", expect_size=\"45511680\"] \n  19 -> 20 [size =\"45511680\"]\n  20 [size=\"36472832\", alpha=\"0.13\", expect_size=\"18236416\"] \n  20 -> 21 [size =\"18236416\"]\n  21 [size=\"47718400\", alpha=\"0.09\", expect_size=\"23859200\"] \n  21 -> 22 [size =\"23859200\"]\n  22 [size=\"12660736\", alpha=\"0.00\", expect_size=\"6330368\"] \n  22 -> 23 [size =\"6330368\"]\n  23 [size=\"81063936\", alpha=\"0.09\", expect_size=\"40531968\"] \n  23 -> 24 [size =\"40531968\"]\n  24 [size=\"85743616\", alpha=\"0.01\", expect_size=\"42871808\"] \n  24 -> 25 [size =\"42871808\"]\n  25 [size=\"32903168\", alpha=\"0.15\", expect_size=\"16451584\"] \n  25 -> 26 [size =\"16451584\"]\n  26 [size=\"24295424\", alpha=\"0.08\", expect_size=\"12147712\"] \n  26 -> 27 [size =\"12147712\"]\n  27 [size=\"101758976\", alpha=\"0.19\", expect_size=\"50879488\"] \n  27 -> 28 [size =\"50879488\"]\n  28 [size=\"45950976\", alpha=\"0.15\", expect_size=\"22975488\"] \n  28 -> 29 [size =\"22975488\"]\n  29 [size=\"40429568\", alpha=\"0.10\", expect_size=\"20214784\"] \n  29 -> 30 [size =\"20214784\"]\n  30 [size=\"87597056\", alpha=\"0.18\", expect_size=\"43798528\"] \n  30 -> 31 [size =\"43798528\"]\n  31 [size=\"55199744\", alpha=\"0.04\", expect_size=\"27599872\"] \n  31 -> 32 [size =\"27599872\"]\n  32 [size=\"95479808\", alpha=\"0.10\", expect_size=\"47739904\"] \n  32 -> 33 [size =\"47739904\"]\n  33 [size=\"97619968\", alpha=\"0.19\", expect_size=\"48809984\"] \n  33 -> 34 [size =\"48809984\"]\n  34 [size=\"47972352\", alpha=\"0.02\", expect_size=\"23986176\"] \n  34 -> 35 [size =\"23986176\"]\n  35 [size=\"52510720\", alpha=\"0.07\", expect_size=\"26255360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115159040\", alpha=\"0.17\", expect_size=\"46063616\"] \n  1 -> 14 [size =\"46063616\"]\n  1 -> 17 [size =\"46063616\"]\n  1 -> 18 [size =\"46063616\"]\n  1 -> 19 [size =\"46063616\"]\n  1 -> 22 [size =\"46063616\"]\n  1 -> 24 [size =\"46063616\"]\n  2 [size=\"126469120\", alpha=\"0.12\", expect_size=\"50587648\"] \n  2 -> 19 [size =\"50587648\"]\n  2 -> 21 [size =\"50587648\"]\n  2 -> 22 [size =\"50587648\"]\n  2 -> 24 [size =\"50587648\"]\n  3 [size=\"49740800\", alpha=\"0.06\", expect_size=\"19896320\"] \n  3 -> 14 [size =\"19896320\"]\n  3 -> 15 [size =\"19896320\"]\n  3 -> 18 [size =\"19896320\"]\n  3 -> 22 [size =\"19896320\"]\n  3 -> 24 [size =\"19896320\"]\n  4 [size=\"19783680\", alpha=\"0.05\", expect_size=\"7913472\"] \n  4 -> 17 [size =\"7913472\"]\n  4 -> 18 [size =\"7913472\"]\n  4 -> 19 [size =\"7913472\"]\n  4 -> 20 [size =\"7913472\"]\n  4 -> 22 [size =\"7913472\"]\n  4 -> 23 [size =\"7913472\"]\n  4 -> 24 [size =\"7913472\"]\n  5 [size=\"52636160\", alpha=\"0.03\", expect_size=\"21054464\"] \n  5 -> 16 [size =\"21054464\"]\n  5 -> 17 [size =\"21054464\"]\n  5 -> 19 [size =\"21054464\"]\n  6 [size=\"72860160\", alpha=\"0.09\", expect_size=\"29144064\"] \n  6 -> 16 [size =\"29144064\"]\n  7 [size=\"36147200\", alpha=\"0.09\", expect_size=\"14458880\"] \n  7 -> 14 [size =\"14458880\"]\n  7 -> 17 [size =\"14458880\"]\n  7 -> 19 [size =\"14458880\"]\n  7 -> 22 [size =\"14458880\"]\n  8 [size=\"116088320\", alpha=\"0.14\", expect_size=\"46435328\"] \n  8 -> 17 [size =\"46435328\"]\n  8 -> 19 [size =\"46435328\"]\n  8 -> 22 [size =\"46435328\"]\n  8 -> 22 [size =\"46435328\"]\n  8 -> 23 [size =\"46435328\"]\n  9 [size=\"126940160\", alpha=\"0.07\", expect_size=\"50776064\"] \n  9 -> 14 [size =\"50776064\"]\n  9 -> 19 [size =\"50776064\"]\n  9 -> 20 [size =\"50776064\"]\n  9 -> 23 [size =\"50776064\"]\n  9 -> 24 [size =\"50776064\"]\n  10 [size=\"72560640\", alpha=\"0.17\", expect_size=\"29024256\"] \n  10 -> 15 [size =\"29024256\"]\n  10 -> 17 [size =\"29024256\"]\n  10 -> 24 [size =\"29024256\"]\n  11 [size=\"129059840\", alpha=\"0.16\", expect_size=\"51623936\"] \n  11 -> 17 [size =\"51623936\"]\n  11 -> 18 [size =\"51623936\"]\n  11 -> 22 [size =\"51623936\"]\n  11 -> 24 [size =\"51623936\"]\n  12 [size=\"109552640\", alpha=\"0.15\", expect_size=\"43821056\"] \n  12 -> 15 [size =\"43821056\"]\n  12 -> 16 [size =\"43821056\"]\n  12 -> 18 [size =\"43821056\"]\n  12 -> 20 [size =\"43821056\"]\n  12 -> 22 [size =\"43821056\"]\n  13 [size=\"63188480\", alpha=\"0.12\", expect_size=\"25275392\"] \n  13 -> 16 [size =\"25275392\"]\n  13 -> 19 [size =\"25275392\"]\n  13 -> 23 [size =\"25275392\"]\n  13 -> 24 [size =\"25275392\"]\n  14 [size=\"96181760\", alpha=\"0.04\", expect_size=\"38472704\"] \n  14 -> 27 [size =\"38472704\"]\n  14 -> 29 [size =\"38472704\"]\n  14 -> 30 [size =\"38472704\"]\n  14 -> 32 [size =\"38472704\"]\n  14 -> 35 [size =\"38472704\"]\n  15 [size=\"124403200\", alpha=\"0.12\", expect_size=\"49761280\"] \n  15 -> 27 [size =\"49761280\"]\n  15 -> 29 [size =\"49761280\"]\n  15 -> 31 [size =\"49761280\"]\n  15 -> 32 [size =\"49761280\"]\n  15 -> 35 [size =\"49761280\"]\n  16 [size=\"24268800\", alpha=\"0.10\", expect_size=\"9707520\"] \n  16 -> 26 [size =\"9707520\"]\n  16 -> 28 [size =\"9707520\"]\n  16 -> 29 [size =\"9707520\"]\n  16 -> 30 [size =\"9707520\"]\n  16 -> 31 [size =\"9707520\"]\n  16 -> 32 [size =\"9707520\"]\n  17 [size=\"80069120\", alpha=\"0.04\", expect_size=\"32027648\"] \n  17 -> 29 [size =\"32027648\"]\n  17 -> 31 [size =\"32027648\"]\n  17 -> 34 [size =\"32027648\"]\n  17 -> 35 [size =\"32027648\"]\n  18 [size=\"15408640\", alpha=\"0.15\", expect_size=\"6163456\"] \n  18 -> 29 [size =\"6163456\"]\n  18 -> 30 [size =\"6163456\"]\n  18 -> 31 [size =\"6163456\"]\n  18 -> 32 [size =\"6163456\"]\n  18 -> 34 [size =\"6163456\"]\n  18 -> 35 [size =\"6163456\"]\n  19 [size=\"95641600\", alpha=\"0.09\", expect_size=\"38256640\"] \n  19 -> 29 [size =\"38256640\"]\n  19 -> 30 [size =\"38256640\"]\n  19 -> 31 [size =\"38256640\"]\n  19 -> 34 [size =\"38256640\"]\n  20 [size=\"20282880\", alpha=\"0.17\", expect_size=\"8113152\"] \n  20 -> 30 [size =\"8113152\"]\n  20 -> 31 [size =\"8113152\"]\n  20 -> 32 [size =\"8113152\"]\n  20 -> 35 [size =\"8113152\"]\n  21 [size=\"118115840\", alpha=\"0.02\", expect_size=\"47246336\"] \n  21 -> 25 [size =\"47246336\"]\n  21 -> 27 [size =\"47246336\"]\n  21 -> 29 [size =\"47246336\"]\n  21 -> 30 [size =\"47246336\"]\n  22 [size=\"93004800\", alpha=\"0.07\", expect_size=\"37201920\"] \n  22 -> 25 [size =\"37201920\"]\n  22 -> 31 [size =\"37201920\"]\n  22 -> 33 [size =\"37201920\"]\n  23 [size=\"63575040\", alpha=\"0.18\", expect_size=\"25430016\"] \n  23 -> 25 [size =\"25430016\"]\n  23 -> 27 [size =\"25430016\"]\n  23 -> 28 [size =\"25430016\"]\n  23 -> 31 [size =\"25430016\"]\n  23 -> 32 [size =\"25430016\"]\n  23 -> 35 [size =\"25430016\"]\n  24 [size=\"17190400\", alpha=\"0.09\", expect_size=\"6876160\"] \n  24 -> 25 [size =\"6876160\"]\n  24 -> 27 [size =\"6876160\"]\n  24 -> 29 [size =\"6876160\"]\n  24 -> 30 [size =\"6876160\"]\n  24 -> 32 [size =\"6876160\"]\n  24 -> 34 [size =\"6876160\"]\n  24 -> 35 [size =\"6876160\"]\n  25 [size=\"37972480\", alpha=\"0.08\", expect_size=\"15188992\"] \n  26 [size=\"111001600\", alpha=\"0.17\", expect_size=\"44400640\"] \n  27 [size=\"49669120\", alpha=\"0.09\", expect_size=\"19867648\"] \n  28 [size=\"74560000\", alpha=\"0.19\", expect_size=\"29824000\"] \n  29 [size=\"44052480\", alpha=\"0.09\", expect_size=\"17620992\"] \n  30 [size=\"97597440\", alpha=\"0.08\", expect_size=\"39038976\"] \n  31 [size=\"80299520\", alpha=\"0.07\", expect_size=\"32119808\"] \n  32 [size=\"94213120\", alpha=\"0.03\", expect_size=\"37685248\"] \n  33 [size=\"16773120\", alpha=\"0.07\", expect_size=\"6709248\"] \n  34 [size=\"120542720\", alpha=\"0.05\", expect_size=\"48217088\"] \n  35 [size=\"58306560\", alpha=\"0.02\", expect_size=\"23322624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23198720\", alpha=\"0.07\", expect_size=\"9279488\"] \n  1 -> 25 [size =\"9279488\"]\n  1 -> 30 [size =\"9279488\"]\n  1 -> 34 [size =\"9279488\"]\n  2 [size=\"104865280\", alpha=\"0.01\", expect_size=\"41946112\"] \n  2 -> 23 [size =\"41946112\"]\n  2 -> 25 [size =\"41946112\"]\n  2 -> 26 [size =\"41946112\"]\n  2 -> 32 [size =\"41946112\"]\n  2 -> 33 [size =\"41946112\"]\n  3 [size=\"98017280\", alpha=\"0.18\", expect_size=\"39206912\"] \n  3 -> 23 [size =\"39206912\"]\n  3 -> 26 [size =\"39206912\"]\n  3 -> 28 [size =\"39206912\"]\n  3 -> 29 [size =\"39206912\"]\n  3 -> 33 [size =\"39206912\"]\n  4 [size=\"25571840\", alpha=\"0.03\", expect_size=\"10228736\"] \n  4 -> 25 [size =\"10228736\"]\n  4 -> 26 [size =\"10228736\"]\n  4 -> 29 [size =\"10228736\"]\n  5 [size=\"39646720\", alpha=\"0.06\", expect_size=\"15858688\"] \n  5 -> 32 [size =\"15858688\"]\n  5 -> 35 [size =\"15858688\"]\n  6 [size=\"34654720\", alpha=\"0.04\", expect_size=\"13861888\"] \n  6 -> 25 [size =\"13861888\"]\n  6 -> 29 [size =\"13861888\"]\n  6 -> 33 [size =\"13861888\"]\n  6 -> 35 [size =\"13861888\"]\n  7 [size=\"27407360\", alpha=\"0.13\", expect_size=\"10962944\"] \n  7 -> 24 [size =\"10962944\"]\n  7 -> 25 [size =\"10962944\"]\n  7 -> 35 [size =\"10962944\"]\n  8 [size=\"95459840\", alpha=\"0.20\", expect_size=\"38183936\"] \n  8 -> 23 [size =\"38183936\"]\n  8 -> 28 [size =\"38183936\"]\n  8 -> 32 [size =\"38183936\"]\n  9 [size=\"25415680\", alpha=\"0.18\", expect_size=\"10166272\"] \n  9 -> 32 [size =\"10166272\"]\n  9 -> 33 [size =\"10166272\"]\n  9 -> 34 [size =\"10166272\"]\n  10 [size=\"130391040\", alpha=\"0.06\", expect_size=\"52156416\"] \n  10 -> 24 [size =\"52156416\"]\n  10 -> 26 [size =\"52156416\"]\n  10 -> 27 [size =\"52156416\"]\n  10 -> 32 [size =\"52156416\"]\n  10 -> 35 [size =\"52156416\"]\n  11 [size=\"47237120\", alpha=\"0.06\", expect_size=\"18894848\"] \n  11 -> 24 [size =\"18894848\"]\n  11 -> 34 [size =\"18894848\"]\n  12 [size=\"85790720\", alpha=\"0.20\", expect_size=\"34316288\"] \n  12 -> 24 [size =\"34316288\"]\n  12 -> 25 [size =\"34316288\"]\n  12 -> 32 [size =\"34316288\"]\n  12 -> 33 [size =\"34316288\"]\n  12 -> 34 [size =\"34316288\"]\n  13 [size=\"92221440\", alpha=\"0.10\", expect_size=\"36888576\"] \n  13 -> 33 [size =\"36888576\"]\n  13 -> 34 [size =\"36888576\"]\n  14 [size=\"77649920\", alpha=\"0.07\", expect_size=\"31059968\"] \n  14 -> 23 [size =\"31059968\"]\n  14 -> 27 [size =\"31059968\"]\n  14 -> 28 [size =\"31059968\"]\n  14 -> 34 [size =\"31059968\"]\n  15 [size=\"98222080\", alpha=\"0.02\", expect_size=\"39288832\"] \n  15 -> 32 [size =\"39288832\"]\n  15 -> 34 [size =\"39288832\"]\n  15 -> 35 [size =\"39288832\"]\n  16 [size=\"16576000\", alpha=\"0.20\", expect_size=\"6630400\"] \n  16 -> 23 [size =\"6630400\"]\n  16 -> 25 [size =\"6630400\"]\n  16 -> 26 [size =\"6630400\"]\n  16 -> 31 [size =\"6630400\"]\n  16 -> 34 [size =\"6630400\"]\n  17 [size=\"38607360\", alpha=\"0.16\", expect_size=\"15442944\"] \n  17 -> 26 [size =\"15442944\"]\n  17 -> 33 [size =\"15442944\"]\n  17 -> 34 [size =\"15442944\"]\n  18 [size=\"113999360\", alpha=\"0.13\", expect_size=\"45599744\"] \n  18 -> 24 [size =\"45599744\"]\n  18 -> 25 [size =\"45599744\"]\n  18 -> 27 [size =\"45599744\"]\n  19 [size=\"113057280\", alpha=\"0.10\", expect_size=\"45222912\"] \n  19 -> 26 [size =\"45222912\"]\n  19 -> 27 [size =\"45222912\"]\n  19 -> 28 [size =\"45222912\"]\n  19 -> 32 [size =\"45222912\"]\n  19 -> 33 [size =\"45222912\"]\n  19 -> 34 [size =\"45222912\"]\n  19 -> 35 [size =\"45222912\"]\n  20 [size=\"101406720\", alpha=\"0.05\", expect_size=\"40562688\"] \n  20 -> 24 [size =\"40562688\"]\n  20 -> 25 [size =\"40562688\"]\n  20 -> 29 [size =\"40562688\"]\n  20 -> 30 [size =\"40562688\"]\n  21 [size=\"19499520\", alpha=\"0.01\", expect_size=\"7799808\"] \n  21 -> 35 [size =\"7799808\"]\n  22 [size=\"56291840\", alpha=\"0.13\", expect_size=\"22516736\"] \n  22 -> 24 [size =\"22516736\"]\n  22 -> 26 [size =\"22516736\"]\n  22 -> 28 [size =\"22516736\"]\n  22 -> 31 [size =\"22516736\"]\n  23 [size=\"55828480\", alpha=\"0.20\", expect_size=\"22331392\"] \n  24 [size=\"112143360\", alpha=\"0.09\", expect_size=\"44857344\"] \n  25 [size=\"34096640\", alpha=\"0.02\", expect_size=\"13638656\"] \n  26 [size=\"45304320\", alpha=\"0.19\", expect_size=\"18121728\"] \n  27 [size=\"44226560\", alpha=\"0.18\", expect_size=\"17690624\"] \n  28 [size=\"20426240\", alpha=\"0.11\", expect_size=\"8170496\"] \n  29 [size=\"95324160\", alpha=\"0.06\", expect_size=\"38129664\"] \n  30 [size=\"35914240\", alpha=\"0.01\", expect_size=\"14365696\"] \n  31 [size=\"64120320\", alpha=\"0.02\", expect_size=\"25648128\"] \n  32 [size=\"72071680\", alpha=\"0.16\", expect_size=\"28828672\"] \n  33 [size=\"33561600\", alpha=\"0.02\", expect_size=\"13424640\"] \n  34 [size=\"33502720\", alpha=\"0.20\", expect_size=\"13401088\"] \n  35 [size=\"84359680\", alpha=\"0.12\", expect_size=\"33743872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52354560\", alpha=\"0.08\", expect_size=\"20941824\"] \n  1 -> 7 [size =\"20941824\"]\n  2 [size=\"122997760\", alpha=\"0.06\", expect_size=\"49199104\"] \n  2 -> 7 [size =\"49199104\"]\n  2 -> 8 [size =\"49199104\"]\n  3 [size=\"37936640\", alpha=\"0.03\", expect_size=\"15174656\"] \n  3 -> 9 [size =\"15174656\"]\n  4 [size=\"97295360\", alpha=\"0.00\", expect_size=\"38918144\"] \n  4 -> 6 [size =\"38918144\"]\n  4 -> 7 [size =\"38918144\"]\n  5 [size=\"103777280\", alpha=\"0.01\", expect_size=\"41510912\"] \n  5 -> 10 [size =\"41510912\"]\n  6 [size=\"124380160\", alpha=\"0.09\", expect_size=\"49752064\"] \n  6 -> 11 [size =\"49752064\"]\n  6 -> 12 [size =\"49752064\"]\n  6 -> 15 [size =\"49752064\"]\n  7 [size=\"75281920\", alpha=\"0.02\", expect_size=\"30112768\"] \n  7 -> 11 [size =\"30112768\"]\n  7 -> 12 [size =\"30112768\"]\n  7 -> 14 [size =\"30112768\"]\n  7 -> 15 [size =\"30112768\"]\n  8 [size=\"86883840\", alpha=\"0.14\", expect_size=\"34753536\"] \n  8 -> 11 [size =\"34753536\"]\n  8 -> 13 [size =\"34753536\"]\n  9 [size=\"42255360\", alpha=\"0.17\", expect_size=\"16902144\"] \n  9 -> 12 [size =\"16902144\"]\n  9 -> 13 [size =\"16902144\"]\n  10 [size=\"65308160\", alpha=\"0.15\", expect_size=\"26123264\"] \n  10 -> 11 [size =\"26123264\"]\n  10 -> 15 [size =\"26123264\"]\n  11 [size=\"82452480\", alpha=\"0.19\", expect_size=\"32980992\"] \n  11 -> 17 [size =\"32980992\"]\n  12 [size=\"129221120\", alpha=\"0.12\", expect_size=\"51688448\"] \n  12 -> 16 [size =\"51688448\"]\n  12 -> 18 [size =\"51688448\"]\n  13 [size=\"44216320\", alpha=\"0.16\", expect_size=\"17686528\"] \n  13 -> 18 [size =\"17686528\"]\n  13 -> 18 [size =\"17686528\"]\n  14 [size=\"64632320\", alpha=\"0.01\", expect_size=\"25852928\"] \n  14 -> 17 [size =\"25852928\"]\n  15 [size=\"66183680\", alpha=\"0.10\", expect_size=\"26473472\"] \n  15 -> 16 [size =\"26473472\"]\n  16 [size=\"71889920\", alpha=\"0.06\", expect_size=\"28755968\"] \n  16 -> 19 [size =\"28755968\"]\n  16 -> 21 [size =\"28755968\"]\n  16 -> 22 [size =\"28755968\"]\n  17 [size=\"125616640\", alpha=\"0.11\", expect_size=\"50246656\"] \n  17 -> 19 [size =\"50246656\"]\n  17 -> 22 [size =\"50246656\"]\n  18 [size=\"18575360\", alpha=\"0.01\", expect_size=\"7430144\"] \n  18 -> 20 [size =\"7430144\"]\n  18 -> 21 [size =\"7430144\"]\n  18 -> 22 [size =\"7430144\"]\n  19 [size=\"102983680\", alpha=\"0.04\", expect_size=\"41193472\"] \n  19 -> 23 [size =\"41193472\"]\n  19 -> 24 [size =\"41193472\"]\n  20 [size=\"86963200\", alpha=\"0.12\", expect_size=\"34785280\"] \n  20 -> 25 [size =\"34785280\"]\n  21 [size=\"60198400\", alpha=\"0.07\", expect_size=\"24079360\"] \n  21 -> 23 [size =\"24079360\"]\n  21 -> 25 [size =\"24079360\"]\n  21 -> 26 [size =\"24079360\"]\n  22 [size=\"51594240\", alpha=\"0.00\", expect_size=\"20637696\"] \n  22 -> 23 [size =\"20637696\"]\n  22 -> 24 [size =\"20637696\"]\n  22 -> 25 [size =\"20637696\"]\n  22 -> 26 [size =\"20637696\"]\n  23 [size=\"121743360\", alpha=\"0.18\", expect_size=\"48697344\"] \n  23 -> 27 [size =\"48697344\"]\n  23 -> 28 [size =\"48697344\"]\n  23 -> 32 [size =\"48697344\"]\n  24 [size=\"95242240\", alpha=\"0.09\", expect_size=\"38096896\"] \n  24 -> 27 [size =\"38096896\"]\n  24 -> 30 [size =\"38096896\"]\n  25 [size=\"102722560\", alpha=\"0.17\", expect_size=\"41089024\"] \n  25 -> 27 [size =\"41089024\"]\n  25 -> 29 [size =\"41089024\"]\n  25 -> 30 [size =\"41089024\"]\n  25 -> 31 [size =\"41089024\"]\n  26 [size=\"42106880\", alpha=\"0.03\", expect_size=\"16842752\"] \n  26 -> 30 [size =\"16842752\"]\n  27 [size=\"76334080\", alpha=\"0.19\", expect_size=\"30533632\"] \n  27 -> 35 [size =\"30533632\"]\n  28 [size=\"23505920\", alpha=\"0.08\", expect_size=\"9402368\"] \n  28 -> 34 [size =\"9402368\"]\n  28 -> 35 [size =\"9402368\"]\n  29 [size=\"27983360\", alpha=\"0.02\", expect_size=\"11193344\"] \n  29 -> 33 [size =\"11193344\"]\n  29 -> 34 [size =\"11193344\"]\n  30 [size=\"53488640\", alpha=\"0.05\", expect_size=\"21395456\"] \n  30 -> 33 [size =\"21395456\"]\n  30 -> 34 [size =\"21395456\"]\n  31 [size=\"126120960\", alpha=\"0.20\", expect_size=\"50448384\"] \n  31 -> 33 [size =\"50448384\"]\n  31 -> 34 [size =\"50448384\"]\n  31 -> 35 [size =\"50448384\"]\n  32 [size=\"49200640\", alpha=\"0.14\", expect_size=\"19680256\"] \n  32 -> 35 [size =\"19680256\"]\n  33 [size=\"50585600\", alpha=\"0.13\", expect_size=\"20234240\"] \n  34 [size=\"37140480\", alpha=\"0.02\", expect_size=\"14856192\"] \n  35 [size=\"93053440\", alpha=\"0.19\", expect_size=\"37221376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99596800\", alpha=\"0.10\", expect_size=\"39838720\"] \n  1 -> 2 [size =\"39838720\"]\n  2 [size=\"126520320\", alpha=\"0.06\", expect_size=\"50608128\"] \n  2 -> 3 [size =\"50608128\"]\n  3 [size=\"115509760\", alpha=\"0.15\", expect_size=\"46203904\"] \n  3 -> 4 [size =\"46203904\"]\n  4 [size=\"41461760\", alpha=\"0.17\", expect_size=\"16584704\"] \n  4 -> 5 [size =\"16584704\"]\n  5 [size=\"103196160\", alpha=\"0.10\", expect_size=\"41278464\"] \n  5 -> 6 [size =\"41278464\"]\n  6 [size=\"23121920\", alpha=\"0.01\", expect_size=\"9248768\"] \n  6 -> 7 [size =\"9248768\"]\n  7 [size=\"15472640\", alpha=\"0.16\", expect_size=\"6189056\"] \n  7 -> 8 [size =\"6189056\"]\n  8 [size=\"120629760\", alpha=\"0.18\", expect_size=\"48251904\"] \n  8 -> 9 [size =\"48251904\"]\n  9 [size=\"91200000\", alpha=\"0.02\", expect_size=\"36480000\"] \n  9 -> 10 [size =\"36480000\"]\n  10 [size=\"101217280\", alpha=\"0.12\", expect_size=\"40486912\"] \n  10 -> 11 [size =\"40486912\"]\n  11 [size=\"26611200\", alpha=\"0.15\", expect_size=\"10644480\"] \n  11 -> 12 [size =\"10644480\"]\n  12 [size=\"84561920\", alpha=\"0.17\", expect_size=\"33824768\"] \n  12 -> 13 [size =\"33824768\"]\n  13 [size=\"120670720\", alpha=\"0.13\", expect_size=\"48268288\"] \n  13 -> 14 [size =\"48268288\"]\n  14 [size=\"93130240\", alpha=\"0.14\", expect_size=\"37252096\"] \n  14 -> 15 [size =\"37252096\"]\n  15 [size=\"76039680\", alpha=\"0.19\", expect_size=\"30415872\"] \n  15 -> 16 [size =\"30415872\"]\n  16 [size=\"19013120\", alpha=\"0.12\", expect_size=\"7605248\"] \n  16 -> 17 [size =\"7605248\"]\n  17 [size=\"22876160\", alpha=\"0.08\", expect_size=\"9150464\"] \n  17 -> 18 [size =\"9150464\"]\n  18 [size=\"114721280\", alpha=\"0.03\", expect_size=\"45888512\"] \n  18 -> 19 [size =\"45888512\"]\n  19 [size=\"104281600\", alpha=\"0.03\", expect_size=\"41712640\"] \n  19 -> 20 [size =\"41712640\"]\n  20 [size=\"116789760\", alpha=\"0.17\", expect_size=\"46715904\"] \n  20 -> 21 [size =\"46715904\"]\n  21 [size=\"68956160\", alpha=\"0.04\", expect_size=\"27582464\"] \n  21 -> 22 [size =\"27582464\"]\n  22 [size=\"38448640\", alpha=\"0.12\", expect_size=\"15379456\"] \n  22 -> 23 [size =\"15379456\"]\n  23 [size=\"17984000\", alpha=\"0.16\", expect_size=\"7193600\"] \n  23 -> 24 [size =\"7193600\"]\n  24 [size=\"95918080\", alpha=\"0.06\", expect_size=\"38367232\"] \n  24 -> 25 [size =\"38367232\"]\n  25 [size=\"58257920\", alpha=\"0.10\", expect_size=\"23303168\"] \n  25 -> 26 [size =\"23303168\"]\n  26 [size=\"50439680\", alpha=\"0.16\", expect_size=\"20175872\"] \n  26 -> 27 [size =\"20175872\"]\n  27 [size=\"119897600\", alpha=\"0.03\", expect_size=\"47959040\"] \n  27 -> 28 [size =\"47959040\"]\n  28 [size=\"50956800\", alpha=\"0.08\", expect_size=\"20382720\"] \n  28 -> 29 [size =\"20382720\"]\n  29 [size=\"71260160\", alpha=\"0.06\", expect_size=\"28504064\"] \n  29 -> 30 [size =\"28504064\"]\n  30 [size=\"90257920\", alpha=\"0.19\", expect_size=\"36103168\"] \n  30 -> 31 [size =\"36103168\"]\n  31 [size=\"69675520\", alpha=\"0.15\", expect_size=\"27870208\"] \n  31 -> 32 [size =\"27870208\"]\n  32 [size=\"96007680\", alpha=\"0.02\", expect_size=\"38403072\"] \n  32 -> 33 [size =\"38403072\"]\n  33 [size=\"46732800\", alpha=\"0.08\", expect_size=\"18693120\"] \n  33 -> 34 [size =\"18693120\"]\n  34 [size=\"24261120\", alpha=\"0.08\", expect_size=\"9704448\"] \n  34 -> 35 [size =\"9704448\"]\n  35 [size=\"56942080\", alpha=\"0.18\", expect_size=\"22776832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41068544\", alpha=\"0.10\", expect_size=\"20534272\"] \n  1 -> 3 [size =\"20534272\"]\n  1 -> 4 [size =\"20534272\"]\n  1 -> 5 [size =\"20534272\"]\n  1 -> 6 [size =\"20534272\"]\n  1 -> 7 [size =\"20534272\"]\n  1 -> 8 [size =\"20534272\"]\n  2 [size=\"98510848\", alpha=\"0.05\", expect_size=\"49255424\"] \n  2 -> 3 [size =\"49255424\"]\n  2 -> 4 [size =\"49255424\"]\n  2 -> 5 [size =\"49255424\"]\n  3 [size=\"56225792\", alpha=\"0.10\", expect_size=\"28112896\"] \n  3 -> 11 [size =\"28112896\"]\n  3 -> 12 [size =\"28112896\"]\n  3 -> 13 [size =\"28112896\"]\n  3 -> 14 [size =\"28112896\"]\n  4 [size=\"47998976\", alpha=\"0.01\", expect_size=\"23999488\"] \n  4 -> 9 [size =\"23999488\"]\n  4 -> 11 [size =\"23999488\"]\n  4 -> 12 [size =\"23999488\"]\n  4 -> 14 [size =\"23999488\"]\n  5 [size=\"72620032\", alpha=\"0.13\", expect_size=\"36310016\"] \n  5 -> 9 [size =\"36310016\"]\n  5 -> 12 [size =\"36310016\"]\n  5 -> 13 [size =\"36310016\"]\n  5 -> 15 [size =\"36310016\"]\n  6 [size=\"91404288\", alpha=\"0.15\", expect_size=\"45702144\"] \n  6 -> 10 [size =\"45702144\"]\n  6 -> 11 [size =\"45702144\"]\n  6 -> 15 [size =\"45702144\"]\n  7 [size=\"45451264\", alpha=\"0.11\", expect_size=\"22725632\"] \n  7 -> 10 [size =\"22725632\"]\n  7 -> 13 [size =\"22725632\"]\n  7 -> 14 [size =\"22725632\"]\n  8 [size=\"53958656\", alpha=\"0.19\", expect_size=\"26979328\"] \n  8 -> 10 [size =\"26979328\"]\n  8 -> 12 [size =\"26979328\"]\n  8 -> 13 [size =\"26979328\"]\n  8 -> 14 [size =\"26979328\"]\n  9 [size=\"59303936\", alpha=\"0.17\", expect_size=\"29651968\"] \n  9 -> 16 [size =\"29651968\"]\n  9 -> 17 [size =\"29651968\"]\n  9 -> 18 [size =\"29651968\"]\n  10 [size=\"99829760\", alpha=\"0.09\", expect_size=\"49914880\"] \n  10 -> 17 [size =\"49914880\"]\n  10 -> 18 [size =\"49914880\"]\n  11 [size=\"38828032\", alpha=\"0.00\", expect_size=\"19414016\"] \n  11 -> 17 [size =\"19414016\"]\n  11 -> 18 [size =\"19414016\"]\n  11 -> 19 [size =\"19414016\"]\n  12 [size=\"85407744\", alpha=\"0.02\", expect_size=\"42703872\"] \n  12 -> 17 [size =\"42703872\"]\n  12 -> 18 [size =\"42703872\"]\n  12 -> 19 [size =\"42703872\"]\n  13 [size=\"16912384\", alpha=\"0.06\", expect_size=\"8456192\"] \n  13 -> 19 [size =\"8456192\"]\n  14 [size=\"66084864\", alpha=\"0.11\", expect_size=\"33042432\"] \n  14 -> 18 [size =\"33042432\"]\n  14 -> 19 [size =\"33042432\"]\n  15 [size=\"72079360\", alpha=\"0.02\", expect_size=\"36039680\"] \n  15 -> 17 [size =\"36039680\"]\n  16 [size=\"38395904\", alpha=\"0.11\", expect_size=\"19197952\"] \n  16 -> 20 [size =\"19197952\"]\n  16 -> 23 [size =\"19197952\"]\n  16 -> 24 [size =\"19197952\"]\n  17 [size=\"12605440\", alpha=\"0.08\", expect_size=\"6302720\"] \n  17 -> 22 [size =\"6302720\"]\n  17 -> 25 [size =\"6302720\"]\n  18 [size=\"64442368\", alpha=\"0.16\", expect_size=\"32221184\"] \n  18 -> 21 [size =\"32221184\"]\n  18 -> 22 [size =\"32221184\"]\n  18 -> 23 [size =\"32221184\"]\n  18 -> 24 [size =\"32221184\"]\n  18 -> 25 [size =\"32221184\"]\n  19 [size=\"60305408\", alpha=\"0.19\", expect_size=\"30152704\"] \n  19 -> 20 [size =\"30152704\"]\n  19 -> 22 [size =\"30152704\"]\n  19 -> 23 [size =\"30152704\"]\n  19 -> 26 [size =\"30152704\"]\n  20 [size=\"47112192\", alpha=\"0.00\", expect_size=\"23556096\"] \n  20 -> 28 [size =\"23556096\"]\n  20 -> 29 [size =\"23556096\"]\n  20 -> 30 [size =\"23556096\"]\n  20 -> 31 [size =\"23556096\"]\n  21 [size=\"91068416\", alpha=\"0.09\", expect_size=\"45534208\"] \n  21 -> 28 [size =\"45534208\"]\n  21 -> 29 [size =\"45534208\"]\n  21 -> 30 [size =\"45534208\"]\n  22 [size=\"93095936\", alpha=\"0.15\", expect_size=\"46547968\"] \n  22 -> 28 [size =\"46547968\"]\n  22 -> 29 [size =\"46547968\"]\n  22 -> 30 [size =\"46547968\"]\n  22 -> 31 [size =\"46547968\"]\n  23 [size=\"102688768\", alpha=\"0.12\", expect_size=\"51344384\"] \n  23 -> 27 [size =\"51344384\"]\n  23 -> 29 [size =\"51344384\"]\n  24 [size=\"34695168\", alpha=\"0.16\", expect_size=\"17347584\"] \n  24 -> 30 [size =\"17347584\"]\n  25 [size=\"86697984\", alpha=\"0.14\", expect_size=\"43348992\"] \n  26 [size=\"97050624\", alpha=\"0.09\", expect_size=\"48525312\"] \n  26 -> 30 [size =\"48525312\"]\n  27 [size=\"53415936\", alpha=\"0.11\", expect_size=\"26707968\"] \n  27 -> 35 [size =\"26707968\"]\n  28 [size=\"91488256\", alpha=\"0.02\", expect_size=\"45744128\"] \n  28 -> 33 [size =\"45744128\"]\n  29 [size=\"71024640\", alpha=\"0.04\", expect_size=\"35512320\"] \n  29 -> 34 [size =\"35512320\"]\n  30 [size=\"64983040\", alpha=\"0.05\", expect_size=\"32491520\"] \n  30 -> 35 [size =\"32491520\"]\n  31 [size=\"66799616\", alpha=\"0.11\", expect_size=\"33399808\"] \n  31 -> 32 [size =\"33399808\"]\n  31 -> 33 [size =\"33399808\"]\n  32 [size=\"12685312\", alpha=\"0.14\", expect_size=\"6342656\"] \n  33 [size=\"85037056\", alpha=\"0.18\", expect_size=\"42518528\"] \n  34 [size=\"46483456\", alpha=\"0.13\", expect_size=\"23241728\"] \n  35 [size=\"28905472\", alpha=\"0.02\", expect_size=\"14452736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155494400\", alpha=\"0.11\", expect_size=\"46648320\"] \n  1 -> 2 [size =\"46648320\"]\n  2 [size=\"62542507\", alpha=\"0.04\", expect_size=\"18762752\"] \n  2 -> 3 [size =\"18762752\"]\n  3 [size=\"53975040\", alpha=\"0.05\", expect_size=\"16192512\"] \n  3 -> 4 [size =\"16192512\"]\n  4 [size=\"66676053\", alpha=\"0.14\", expect_size=\"20002816\"] \n  4 -> 5 [size =\"20002816\"]\n  5 [size=\"106253653\", alpha=\"0.12\", expect_size=\"31876096\"] \n  5 -> 6 [size =\"31876096\"]\n  6 [size=\"101700267\", alpha=\"0.07\", expect_size=\"30510080\"] \n  6 -> 7 [size =\"30510080\"]\n  7 [size=\"62317227\", alpha=\"0.00\", expect_size=\"18695168\"] \n  7 -> 8 [size =\"18695168\"]\n  8 [size=\"32856747\", alpha=\"0.19\", expect_size=\"9857024\"] \n  8 -> 9 [size =\"9857024\"]\n  9 [size=\"52619947\", alpha=\"0.12\", expect_size=\"15785984\"] \n  9 -> 10 [size =\"15785984\"]\n  10 [size=\"36034560\", alpha=\"0.05\", expect_size=\"10810368\"] \n  10 -> 11 [size =\"10810368\"]\n  11 [size=\"29542400\", alpha=\"0.19\", expect_size=\"8862720\"] \n  11 -> 12 [size =\"8862720\"]\n  12 [size=\"112554667\", alpha=\"0.07\", expect_size=\"33766400\"] \n  12 -> 13 [size =\"33766400\"]\n  13 [size=\"141288107\", alpha=\"0.02\", expect_size=\"42386432\"] \n  13 -> 14 [size =\"42386432\"]\n  14 [size=\"23302827\", alpha=\"0.00\", expect_size=\"6990848\"] \n  14 -> 15 [size =\"6990848\"]\n  15 [size=\"130048000\", alpha=\"0.14\", expect_size=\"39014400\"] \n  15 -> 16 [size =\"39014400\"]\n  16 [size=\"69478400\", alpha=\"0.12\", expect_size=\"20843520\"] \n  16 -> 17 [size =\"20843520\"]\n  17 [size=\"124549120\", alpha=\"0.13\", expect_size=\"37364736\"] \n  17 -> 18 [size =\"37364736\"]\n  18 [size=\"127167147\", alpha=\"0.10\", expect_size=\"38150144\"] \n  18 -> 19 [size =\"38150144\"]\n  19 [size=\"116776960\", alpha=\"0.16\", expect_size=\"35033088\"] \n  19 -> 20 [size =\"35033088\"]\n  20 [size=\"53063680\", alpha=\"0.14\", expect_size=\"15919104\"] \n  20 -> 21 [size =\"15919104\"]\n  21 [size=\"93992960\", alpha=\"0.09\", expect_size=\"28197888\"] \n  21 -> 22 [size =\"28197888\"]\n  22 [size=\"88784213\", alpha=\"0.10\", expect_size=\"26635264\"] \n  22 -> 23 [size =\"26635264\"]\n  23 [size=\"141230080\", alpha=\"0.16\", expect_size=\"42369024\"] \n  23 -> 24 [size =\"42369024\"]\n  24 [size=\"156344320\", alpha=\"0.08\", expect_size=\"46903296\"] \n  24 -> 25 [size =\"46903296\"]\n  25 [size=\"158013440\", alpha=\"0.11\", expect_size=\"47404032\"] \n  25 -> 26 [size =\"47404032\"]\n  26 [size=\"113121280\", alpha=\"0.05\", expect_size=\"33936384\"] \n  26 -> 27 [size =\"33936384\"]\n  27 [size=\"51694933\", alpha=\"0.05\", expect_size=\"15508480\"] \n  27 -> 28 [size =\"15508480\"]\n  28 [size=\"155511467\", alpha=\"0.06\", expect_size=\"46653440\"] \n  28 -> 29 [size =\"46653440\"]\n  29 [size=\"73560747\", alpha=\"0.12\", expect_size=\"22068224\"] \n  29 -> 30 [size =\"22068224\"]\n  30 [size=\"39816533\", alpha=\"0.01\", expect_size=\"11944960\"] \n  30 -> 31 [size =\"11944960\"]\n  31 [size=\"146012160\", alpha=\"0.11\", expect_size=\"43803648\"] \n  31 -> 32 [size =\"43803648\"]\n  32 [size=\"58313387\", alpha=\"0.13\", expect_size=\"17494016\"] \n  32 -> 33 [size =\"17494016\"]\n  33 [size=\"136359253\", alpha=\"0.11\", expect_size=\"40907776\"] \n  33 -> 34 [size =\"40907776\"]\n  34 [size=\"102075733\", alpha=\"0.09\", expect_size=\"30622720\"] \n  34 -> 35 [size =\"30622720\"]\n  35 [size=\"161952427\", alpha=\"0.02\", expect_size=\"48585728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62627840\", alpha=\"0.16\", expect_size=\"25051136\"] \n  1 -> 3 [size =\"25051136\"]\n  2 [size=\"38328320\", alpha=\"0.17\", expect_size=\"15331328\"] \n  2 -> 3 [size =\"15331328\"]\n  3 [size=\"30330880\", alpha=\"0.17\", expect_size=\"12132352\"] \n  3 -> 4 [size =\"12132352\"]\n  3 -> 5 [size =\"12132352\"]\n  4 [size=\"80785920\", alpha=\"0.11\", expect_size=\"32314368\"] \n  4 -> 6 [size =\"32314368\"]\n  4 -> 7 [size =\"32314368\"]\n  5 [size=\"100769280\", alpha=\"0.17\", expect_size=\"40307712\"] \n  5 -> 6 [size =\"40307712\"]\n  6 [size=\"42690560\", alpha=\"0.04\", expect_size=\"17076224\"] \n  6 -> 8 [size =\"17076224\"]\n  7 [size=\"39723520\", alpha=\"0.01\", expect_size=\"15889408\"] \n  7 -> 8 [size =\"15889408\"]\n  8 [size=\"121935360\", alpha=\"0.09\", expect_size=\"48774144\"] \n  8 -> 9 [size =\"48774144\"]\n  8 -> 10 [size =\"48774144\"]\n  9 [size=\"19325440\", alpha=\"0.06\", expect_size=\"7730176\"] \n  9 -> 11 [size =\"7730176\"]\n  10 [size=\"56286720\", alpha=\"0.03\", expect_size=\"22514688\"] \n  10 -> 11 [size =\"22514688\"]\n  11 [size=\"18280960\", alpha=\"0.06\", expect_size=\"7312384\"] \n  11 -> 12 [size =\"7312384\"]\n  11 -> 13 [size =\"7312384\"]\n  12 [size=\"112499200\", alpha=\"0.03\", expect_size=\"44999680\"] \n  12 -> 14 [size =\"44999680\"]\n  12 -> 15 [size =\"44999680\"]\n  13 [size=\"94077440\", alpha=\"0.01\", expect_size=\"37630976\"] \n  13 -> 14 [size =\"37630976\"]\n  13 -> 15 [size =\"37630976\"]\n  14 [size=\"74777600\", alpha=\"0.12\", expect_size=\"29911040\"] \n  14 -> 16 [size =\"29911040\"]\n  15 [size=\"21580800\", alpha=\"0.03\", expect_size=\"8632320\"] \n  16 [size=\"121845760\", alpha=\"0.10\", expect_size=\"48738304\"] \n  16 -> 17 [size =\"48738304\"]\n  16 -> 18 [size =\"48738304\"]\n  17 [size=\"25827840\", alpha=\"0.01\", expect_size=\"10331136\"] \n  17 -> 19 [size =\"10331136\"]\n  18 [size=\"34076160\", alpha=\"0.15\", expect_size=\"13630464\"] \n  19 [size=\"85358080\", alpha=\"0.05\", expect_size=\"34143232\"] \n  19 -> 20 [size =\"34143232\"]\n  19 -> 21 [size =\"34143232\"]\n  20 [size=\"118080000\", alpha=\"0.03\", expect_size=\"47232000\"] \n  20 -> 22 [size =\"47232000\"]\n  20 -> 23 [size =\"47232000\"]\n  21 [size=\"17200640\", alpha=\"0.09\", expect_size=\"6880256\"] \n  21 -> 22 [size =\"6880256\"]\n  21 -> 23 [size =\"6880256\"]\n  22 [size=\"52439040\", alpha=\"0.20\", expect_size=\"20975616\"] \n  22 -> 24 [size =\"20975616\"]\n  23 [size=\"68992000\", alpha=\"0.13\", expect_size=\"27596800\"] \n  23 -> 24 [size =\"27596800\"]\n  24 [size=\"77568000\", alpha=\"0.18\", expect_size=\"31027200\"] \n  24 -> 25 [size =\"31027200\"]\n  25 [size=\"32931840\", alpha=\"0.18\", expect_size=\"13172736\"] \n  25 -> 26 [size =\"13172736\"]\n  26 [size=\"52008960\", alpha=\"0.02\", expect_size=\"20803584\"] \n  26 -> 27 [size =\"20803584\"]\n  26 -> 28 [size =\"20803584\"]\n  27 [size=\"108904960\", alpha=\"0.11\", expect_size=\"43561984\"] \n  27 -> 29 [size =\"43561984\"]\n  27 -> 30 [size =\"43561984\"]\n  28 [size=\"112921600\", alpha=\"0.19\", expect_size=\"45168640\"] \n  28 -> 29 [size =\"45168640\"]\n  28 -> 30 [size =\"45168640\"]\n  29 [size=\"81566720\", alpha=\"0.08\", expect_size=\"32626688\"] \n  30 [size=\"113177600\", alpha=\"0.04\", expect_size=\"45271040\"] \n  30 -> 31 [size =\"45271040\"]\n  31 [size=\"13598720\", alpha=\"0.01\", expect_size=\"5439488\"] \n  31 -> 32 [size =\"5439488\"]\n  32 [size=\"68280320\", alpha=\"0.15\", expect_size=\"27312128\"] \n  32 -> 33 [size =\"27312128\"]\n  32 -> 34 [size =\"27312128\"]\n  33 [size=\"66519040\", alpha=\"0.02\", expect_size=\"26607616\"] \n  33 -> 35 [size =\"26607616\"]\n  34 [size=\"25538560\", alpha=\"0.00\", expect_size=\"10215424\"] \n  35 [size=\"130984960\", alpha=\"0.19\", expect_size=\"52393984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15106560\", alpha=\"0.11\", expect_size=\"6042624\"] \n  1 -> 2 [size =\"6042624\"]\n  2 [size=\"84559360\", alpha=\"0.01\", expect_size=\"33823744\"] \n  2 -> 3 [size =\"33823744\"]\n  3 [size=\"82552320\", alpha=\"0.14\", expect_size=\"33020928\"] \n  3 -> 4 [size =\"33020928\"]\n  4 [size=\"116462080\", alpha=\"0.10\", expect_size=\"46584832\"] \n  4 -> 5 [size =\"46584832\"]\n  5 [size=\"113830400\", alpha=\"0.04\", expect_size=\"45532160\"] \n  5 -> 6 [size =\"45532160\"]\n  6 [size=\"68769280\", alpha=\"0.13\", expect_size=\"27507712\"] \n  6 -> 7 [size =\"27507712\"]\n  7 [size=\"75904000\", alpha=\"0.04\", expect_size=\"30361600\"] \n  7 -> 8 [size =\"30361600\"]\n  8 [size=\"43991040\", alpha=\"0.08\", expect_size=\"17596416\"] \n  8 -> 9 [size =\"17596416\"]\n  9 [size=\"43420160\", alpha=\"0.01\", expect_size=\"17368064\"] \n  9 -> 10 [size =\"17368064\"]\n  10 [size=\"125665280\", alpha=\"0.17\", expect_size=\"50266112\"] \n  10 -> 11 [size =\"50266112\"]\n  11 [size=\"130536960\", alpha=\"0.03\", expect_size=\"52214784\"] \n  11 -> 12 [size =\"52214784\"]\n  12 [size=\"77890560\", alpha=\"0.05\", expect_size=\"31156224\"] \n  12 -> 13 [size =\"31156224\"]\n  13 [size=\"83358720\", alpha=\"0.09\", expect_size=\"33343488\"] \n  13 -> 14 [size =\"33343488\"]\n  14 [size=\"50035200\", alpha=\"0.05\", expect_size=\"20014080\"] \n  14 -> 15 [size =\"20014080\"]\n  15 [size=\"107038720\", alpha=\"0.18\", expect_size=\"42815488\"] \n  15 -> 16 [size =\"42815488\"]\n  16 [size=\"129500160\", alpha=\"0.10\", expect_size=\"51800064\"] \n  16 -> 17 [size =\"51800064\"]\n  17 [size=\"87057920\", alpha=\"0.05\", expect_size=\"34823168\"] \n  17 -> 18 [size =\"34823168\"]\n  18 [size=\"113269760\", alpha=\"0.12\", expect_size=\"45307904\"] \n  18 -> 19 [size =\"45307904\"]\n  19 [size=\"44600320\", alpha=\"0.14\", expect_size=\"17840128\"] \n  19 -> 20 [size =\"17840128\"]\n  20 [size=\"49131520\", alpha=\"0.06\", expect_size=\"19652608\"] \n  20 -> 21 [size =\"19652608\"]\n  21 [size=\"34101760\", alpha=\"0.18\", expect_size=\"13640704\"] \n  21 -> 22 [size =\"13640704\"]\n  22 [size=\"49436160\", alpha=\"0.02\", expect_size=\"19774464\"] \n  22 -> 23 [size =\"19774464\"]\n  23 [size=\"81006080\", alpha=\"0.18\", expect_size=\"32402432\"] \n  23 -> 24 [size =\"32402432\"]\n  24 [size=\"15779840\", alpha=\"0.12\", expect_size=\"6311936\"] \n  24 -> 25 [size =\"6311936\"]\n  25 [size=\"44410880\", alpha=\"0.02\", expect_size=\"17764352\"] \n  25 -> 26 [size =\"17764352\"]\n  26 [size=\"30543360\", alpha=\"0.02\", expect_size=\"12217344\"] \n  26 -> 27 [size =\"12217344\"]\n  27 [size=\"89515520\", alpha=\"0.13\", expect_size=\"35806208\"] \n  27 -> 28 [size =\"35806208\"]\n  28 [size=\"119554560\", alpha=\"0.08\", expect_size=\"47821824\"] \n  28 -> 29 [size =\"47821824\"]\n  29 [size=\"73960960\", alpha=\"0.09\", expect_size=\"29584384\"] \n  29 -> 30 [size =\"29584384\"]\n  30 [size=\"39948800\", alpha=\"0.10\", expect_size=\"15979520\"] \n  30 -> 31 [size =\"15979520\"]\n  31 [size=\"74961920\", alpha=\"0.10\", expect_size=\"29984768\"] \n  31 -> 32 [size =\"29984768\"]\n  32 [size=\"63037440\", alpha=\"0.01\", expect_size=\"25214976\"] \n  32 -> 33 [size =\"25214976\"]\n  33 [size=\"75624960\", alpha=\"0.03\", expect_size=\"30249984\"] \n  33 -> 34 [size =\"30249984\"]\n  34 [size=\"64212480\", alpha=\"0.13\", expect_size=\"25684992\"] \n  34 -> 35 [size =\"25684992\"]\n  35 [size=\"14187520\", alpha=\"0.18\", expect_size=\"5675008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57157632\", alpha=\"0.00\", expect_size=\"28578816\"] \n  1 -> 8 [size =\"28578816\"]\n  2 [size=\"92532736\", alpha=\"0.18\", expect_size=\"46266368\"] \n  2 -> 9 [size =\"46266368\"]\n  3 [size=\"20277248\", alpha=\"0.17\", expect_size=\"10138624\"] \n  3 -> 9 [size =\"10138624\"]\n  4 [size=\"93306880\", alpha=\"0.09\", expect_size=\"46653440\"] \n  5 [size=\"22573056\", alpha=\"0.09\", expect_size=\"11286528\"] \n  5 -> 9 [size =\"11286528\"]\n  6 [size=\"46901248\", alpha=\"0.04\", expect_size=\"23450624\"] \n  7 [size=\"60598272\", alpha=\"0.14\", expect_size=\"30299136\"] \n  8 [size=\"45905920\", alpha=\"0.12\", expect_size=\"22952960\"] \n  8 -> 10 [size =\"22952960\"]\n  8 -> 11 [size =\"22952960\"]\n  8 -> 12 [size =\"22952960\"]\n  8 -> 13 [size =\"22952960\"]\n  9 [size=\"52985856\", alpha=\"0.02\", expect_size=\"26492928\"] \n  9 -> 10 [size =\"26492928\"]\n  9 -> 11 [size =\"26492928\"]\n  9 -> 13 [size =\"26492928\"]\n  10 [size=\"43501568\", alpha=\"0.07\", expect_size=\"21750784\"] \n  10 -> 15 [size =\"21750784\"]\n  10 -> 17 [size =\"21750784\"]\n  11 [size=\"13352960\", alpha=\"0.10\", expect_size=\"6676480\"] \n  11 -> 14 [size =\"6676480\"]\n  11 -> 17 [size =\"6676480\"]\n  12 [size=\"13737984\", alpha=\"0.20\", expect_size=\"6868992\"] \n  12 -> 16 [size =\"6868992\"]\n  13 [size=\"98072576\", alpha=\"0.03\", expect_size=\"49036288\"] \n  13 -> 17 [size =\"49036288\"]\n  14 [size=\"83367936\", alpha=\"0.15\", expect_size=\"41683968\"] \n  14 -> 21 [size =\"41683968\"]\n  14 -> 23 [size =\"41683968\"]\n  15 [size=\"31072256\", alpha=\"0.17\", expect_size=\"15536128\"] \n  15 -> 19 [size =\"15536128\"]\n  15 -> 23 [size =\"15536128\"]\n  16 [size=\"75550720\", alpha=\"0.08\", expect_size=\"37775360\"] \n  16 -> 18 [size =\"37775360\"]\n  16 -> 19 [size =\"37775360\"]\n  16 -> 20 [size =\"37775360\"]\n  16 -> 22 [size =\"37775360\"]\n  17 [size=\"93921280\", alpha=\"0.10\", expect_size=\"46960640\"] \n  17 -> 19 [size =\"46960640\"]\n  17 -> 20 [size =\"46960640\"]\n  17 -> 23 [size =\"46960640\"]\n  18 [size=\"64518144\", alpha=\"0.17\", expect_size=\"32259072\"] \n  18 -> 24 [size =\"32259072\"]\n  18 -> 26 [size =\"32259072\"]\n  18 -> 27 [size =\"32259072\"]\n  19 [size=\"27645952\", alpha=\"0.11\", expect_size=\"13822976\"] \n  19 -> 27 [size =\"13822976\"]\n  20 [size=\"36718592\", alpha=\"0.12\", expect_size=\"18359296\"] \n  20 -> 25 [size =\"18359296\"]\n  20 -> 26 [size =\"18359296\"]\n  21 [size=\"68208640\", alpha=\"0.03\", expect_size=\"34104320\"] \n  21 -> 25 [size =\"34104320\"]\n  22 [size=\"20979712\", alpha=\"0.11\", expect_size=\"10489856\"] \n  22 -> 27 [size =\"10489856\"]\n  23 [size=\"18905088\", alpha=\"0.02\", expect_size=\"9452544\"] \n  23 -> 24 [size =\"9452544\"]\n  23 -> 26 [size =\"9452544\"]\n  23 -> 27 [size =\"9452544\"]\n  24 [size=\"34828288\", alpha=\"0.10\", expect_size=\"17414144\"] \n  24 -> 29 [size =\"17414144\"]\n  24 -> 30 [size =\"17414144\"]\n  25 [size=\"13066240\", alpha=\"0.01\", expect_size=\"6533120\"] \n  25 -> 28 [size =\"6533120\"]\n  25 -> 30 [size =\"6533120\"]\n  26 [size=\"91981824\", alpha=\"0.19\", expect_size=\"45990912\"] \n  26 -> 30 [size =\"45990912\"]\n  27 [size=\"34193408\", alpha=\"0.08\", expect_size=\"17096704\"] \n  27 -> 29 [size =\"17096704\"]\n  28 [size=\"80111616\", alpha=\"0.04\", expect_size=\"40055808\"] \n  28 -> 32 [size =\"40055808\"]\n  28 -> 34 [size =\"40055808\"]\n  29 [size=\"66297856\", alpha=\"0.10\", expect_size=\"33148928\"] \n  29 -> 33 [size =\"33148928\"]\n  29 -> 34 [size =\"33148928\"]\n  29 -> 35 [size =\"33148928\"]\n  30 [size=\"23095296\", alpha=\"0.02\", expect_size=\"11547648\"] \n  30 -> 31 [size =\"11547648\"]\n  30 -> 32 [size =\"11547648\"]\n  31 [size=\"79583232\", alpha=\"0.15\", expect_size=\"39791616\"] \n  32 [size=\"93689856\", alpha=\"0.09\", expect_size=\"46844928\"] \n  33 [size=\"53090304\", alpha=\"0.01\", expect_size=\"26545152\"] \n  34 [size=\"61952000\", alpha=\"0.09\", expect_size=\"30976000\"] \n  35 [size=\"14350336\", alpha=\"0.01\", expect_size=\"7175168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53291520\", alpha=\"0.04\", expect_size=\"21316608\"] \n  2 [size=\"106014720\", alpha=\"0.12\", expect_size=\"42405888\"] \n  2 -> 9 [size =\"42405888\"]\n  3 [size=\"85967360\", alpha=\"0.18\", expect_size=\"34386944\"] \n  3 -> 8 [size =\"34386944\"]\n  3 -> 9 [size =\"34386944\"]\n  4 [size=\"130636800\", alpha=\"0.16\", expect_size=\"52254720\"] \n  4 -> 7 [size =\"52254720\"]\n  5 [size=\"94069760\", alpha=\"0.13\", expect_size=\"37627904\"] \n  5 -> 6 [size =\"37627904\"]\n  5 -> 8 [size =\"37627904\"]\n  5 -> 9 [size =\"37627904\"]\n  6 [size=\"15933440\", alpha=\"0.09\", expect_size=\"6373376\"] \n  6 -> 10 [size =\"6373376\"]\n  7 [size=\"72791040\", alpha=\"0.01\", expect_size=\"29116416\"] \n  7 -> 12 [size =\"29116416\"]\n  7 -> 13 [size =\"29116416\"]\n  8 [size=\"27082240\", alpha=\"0.09\", expect_size=\"10832896\"] \n  8 -> 11 [size =\"10832896\"]\n  9 [size=\"77898240\", alpha=\"0.14\", expect_size=\"31159296\"] \n  10 [size=\"114977280\", alpha=\"0.10\", expect_size=\"45990912\"] \n  10 -> 14 [size =\"45990912\"]\n  11 [size=\"69153280\", alpha=\"0.00\", expect_size=\"27661312\"] \n  11 -> 14 [size =\"27661312\"]\n  11 -> 16 [size =\"27661312\"]\n  12 [size=\"92812800\", alpha=\"0.10\", expect_size=\"37125120\"] \n  12 -> 16 [size =\"37125120\"]\n  13 [size=\"45155840\", alpha=\"0.05\", expect_size=\"18062336\"] \n  13 -> 15 [size =\"18062336\"]\n  13 -> 16 [size =\"18062336\"]\n  14 [size=\"35389440\", alpha=\"0.10\", expect_size=\"14155776\"] \n  15 [size=\"128143360\", alpha=\"0.08\", expect_size=\"51257344\"] \n  15 -> 17 [size =\"51257344\"]\n  15 -> 18 [size =\"51257344\"]\n  16 [size=\"86208000\", alpha=\"0.02\", expect_size=\"34483200\"] \n  16 -> 17 [size =\"34483200\"]\n  16 -> 18 [size =\"34483200\"]\n  16 -> 19 [size =\"34483200\"]\n  17 [size=\"23736320\", alpha=\"0.10\", expect_size=\"9494528\"] \n  17 -> 22 [size =\"9494528\"]\n  18 [size=\"26923520\", alpha=\"0.10\", expect_size=\"10769408\"] \n  18 -> 20 [size =\"10769408\"]\n  18 -> 21 [size =\"10769408\"]\n  18 -> 22 [size =\"10769408\"]\n  18 -> 23 [size =\"10769408\"]\n  19 [size=\"78018560\", alpha=\"0.14\", expect_size=\"31207424\"] \n  19 -> 21 [size =\"31207424\"]\n  19 -> 23 [size =\"31207424\"]\n  20 [size=\"43402240\", alpha=\"0.06\", expect_size=\"17360896\"] \n  20 -> 26 [size =\"17360896\"]\n  21 [size=\"100503040\", alpha=\"0.06\", expect_size=\"40201216\"] \n  21 -> 26 [size =\"40201216\"]\n  22 [size=\"102297600\", alpha=\"0.01\", expect_size=\"40919040\"] \n  22 -> 24 [size =\"40919040\"]\n  22 -> 25 [size =\"40919040\"]\n  22 -> 26 [size =\"40919040\"]\n  23 [size=\"45908480\", alpha=\"0.08\", expect_size=\"18363392\"] \n  23 -> 24 [size =\"18363392\"]\n  23 -> 25 [size =\"18363392\"]\n  23 -> 27 [size =\"18363392\"]\n  24 [size=\"74296320\", alpha=\"0.16\", expect_size=\"29718528\"] \n  24 -> 28 [size =\"29718528\"]\n  24 -> 31 [size =\"29718528\"]\n  24 -> 32 [size =\"29718528\"]\n  24 -> 33 [size =\"29718528\"]\n  25 [size=\"18073600\", alpha=\"0.17\", expect_size=\"7229440\"] \n  26 [size=\"67120640\", alpha=\"0.19\", expect_size=\"26848256\"] \n  26 -> 28 [size =\"26848256\"]\n  26 -> 29 [size =\"26848256\"]\n  26 -> 30 [size =\"26848256\"]\n  26 -> 31 [size =\"26848256\"]\n  27 [size=\"77391360\", alpha=\"0.11\", expect_size=\"30956544\"] \n  27 -> 28 [size =\"30956544\"]\n  27 -> 31 [size =\"30956544\"]\n  27 -> 32 [size =\"30956544\"]\n  28 [size=\"16240640\", alpha=\"0.05\", expect_size=\"6496256\"] \n  29 [size=\"77245440\", alpha=\"0.10\", expect_size=\"30898176\"] \n  30 [size=\"39941120\", alpha=\"0.12\", expect_size=\"15976448\"] \n  31 [size=\"77056000\", alpha=\"0.04\", expect_size=\"30822400\"] \n  31 -> 34 [size =\"30822400\"]\n  32 [size=\"110814720\", alpha=\"0.10\", expect_size=\"44325888\"] \n  33 [size=\"116157440\", alpha=\"0.00\", expect_size=\"46462976\"] \n  33 -> 35 [size =\"46462976\"]\n  34 [size=\"47982080\", alpha=\"0.15\", expect_size=\"19192832\"] \n  35 [size=\"23820800\", alpha=\"0.09\", expect_size=\"9528320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76150784\", alpha=\"0.14\", expect_size=\"38075392\"] \n  1 -> 6 [size =\"38075392\"]\n  1 -> 7 [size =\"38075392\"]\n  2 [size=\"55009280\", alpha=\"0.04\", expect_size=\"27504640\"] \n  2 -> 5 [size =\"27504640\"]\n  2 -> 8 [size =\"27504640\"]\n  3 [size=\"85280768\", alpha=\"0.10\", expect_size=\"42640384\"] \n  4 [size=\"86757376\", alpha=\"0.12\", expect_size=\"43378688\"] \n  4 -> 7 [size =\"43378688\"]\n  5 [size=\"63168512\", alpha=\"0.02\", expect_size=\"31584256\"] \n  5 -> 10 [size =\"31584256\"]\n  5 -> 11 [size =\"31584256\"]\n  6 [size=\"57344000\", alpha=\"0.01\", expect_size=\"28672000\"] \n  6 -> 11 [size =\"28672000\"]\n  6 -> 12 [size =\"28672000\"]\n  6 -> 13 [size =\"28672000\"]\n  7 [size=\"54030336\", alpha=\"0.12\", expect_size=\"27015168\"] \n  7 -> 9 [size =\"27015168\"]\n  7 -> 10 [size =\"27015168\"]\n  8 [size=\"93456384\", alpha=\"0.18\", expect_size=\"46728192\"] \n  8 -> 13 [size =\"46728192\"]\n  8 -> 14 [size =\"46728192\"]\n  9 [size=\"19662848\", alpha=\"0.09\", expect_size=\"9831424\"] \n  9 -> 15 [size =\"9831424\"]\n  9 -> 17 [size =\"9831424\"]\n  9 -> 19 [size =\"9831424\"]\n  10 [size=\"96546816\", alpha=\"0.16\", expect_size=\"48273408\"] \n  10 -> 16 [size =\"48273408\"]\n  11 [size=\"25196544\", alpha=\"0.13\", expect_size=\"12598272\"] \n  11 -> 16 [size =\"12598272\"]\n  12 [size=\"90177536\", alpha=\"0.20\", expect_size=\"45088768\"] \n  12 -> 16 [size =\"45088768\"]\n  12 -> 18 [size =\"45088768\"]\n  12 -> 19 [size =\"45088768\"]\n  13 [size=\"14817280\", alpha=\"0.10\", expect_size=\"7408640\"] \n  13 -> 15 [size =\"7408640\"]\n  13 -> 18 [size =\"7408640\"]\n  14 [size=\"62210048\", alpha=\"0.04\", expect_size=\"31105024\"] \n  14 -> 15 [size =\"31105024\"]\n  14 -> 17 [size =\"31105024\"]\n  14 -> 18 [size =\"31105024\"]\n  15 [size=\"22671360\", alpha=\"0.13\", expect_size=\"11335680\"] \n  16 [size=\"31268864\", alpha=\"0.09\", expect_size=\"15634432\"] \n  17 [size=\"37439488\", alpha=\"0.02\", expect_size=\"18719744\"] \n  17 -> 20 [size =\"18719744\"]\n  18 [size=\"96256000\", alpha=\"0.09\", expect_size=\"48128000\"] \n  18 -> 20 [size =\"48128000\"]\n  18 -> 21 [size =\"48128000\"]\n  18 -> 22 [size =\"48128000\"]\n  18 -> 23 [size =\"48128000\"]\n  18 -> 24 [size =\"48128000\"]\n  19 [size=\"87349248\", alpha=\"0.15\", expect_size=\"43674624\"] \n  19 -> 22 [size =\"43674624\"]\n  19 -> 23 [size =\"43674624\"]\n  20 [size=\"34658304\", alpha=\"0.08\", expect_size=\"17329152\"] \n  20 -> 26 [size =\"17329152\"]\n  20 -> 28 [size =\"17329152\"]\n  21 [size=\"15966208\", alpha=\"0.16\", expect_size=\"7983104\"] \n  21 -> 26 [size =\"7983104\"]\n  21 -> 27 [size =\"7983104\"]\n  22 [size=\"78426112\", alpha=\"0.12\", expect_size=\"39213056\"] \n  23 [size=\"76163072\", alpha=\"0.05\", expect_size=\"38081536\"] \n  24 [size=\"29935616\", alpha=\"0.14\", expect_size=\"14967808\"] \n  24 -> 25 [size =\"14967808\"]\n  24 -> 28 [size =\"14967808\"]\n  25 [size=\"46663680\", alpha=\"0.14\", expect_size=\"23331840\"] \n  25 -> 31 [size =\"23331840\"]\n  25 -> 32 [size =\"23331840\"]\n  26 [size=\"13023232\", alpha=\"0.04\", expect_size=\"6511616\"] \n  26 -> 29 [size =\"6511616\"]\n  26 -> 30 [size =\"6511616\"]\n  27 [size=\"55062528\", alpha=\"0.03\", expect_size=\"27531264\"] \n  27 -> 29 [size =\"27531264\"]\n  28 [size=\"65789952\", alpha=\"0.20\", expect_size=\"32894976\"] \n  28 -> 30 [size =\"32894976\"]\n  28 -> 31 [size =\"32894976\"]\n  29 [size=\"12769280\", alpha=\"0.19\", expect_size=\"6384640\"] \n  29 -> 34 [size =\"6384640\"]\n  30 [size=\"82479104\", alpha=\"0.15\", expect_size=\"41239552\"] \n  30 -> 33 [size =\"41239552\"]\n  30 -> 35 [size =\"41239552\"]\n  31 [size=\"27031552\", alpha=\"0.16\", expect_size=\"13515776\"] \n  31 -> 35 [size =\"13515776\"]\n  32 [size=\"100835328\", alpha=\"0.12\", expect_size=\"50417664\"] \n  32 -> 34 [size =\"50417664\"]\n  33 [size=\"65300480\", alpha=\"0.10\", expect_size=\"32650240\"] \n  34 [size=\"89593856\", alpha=\"0.19\", expect_size=\"44796928\"] \n  35 [size=\"61247488\", alpha=\"0.11\", expect_size=\"30623744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35709440\", alpha=\"0.11\", expect_size=\"14283776\"] \n  1 -> 5 [size =\"14283776\"]\n  2 [size=\"18398720\", alpha=\"0.17\", expect_size=\"7359488\"] \n  2 -> 5 [size =\"7359488\"]\n  2 -> 7 [size =\"7359488\"]\n  2 -> 8 [size =\"7359488\"]\n  3 [size=\"76828160\", alpha=\"0.07\", expect_size=\"30731264\"] \n  3 -> 5 [size =\"30731264\"]\n  4 [size=\"24481280\", alpha=\"0.13\", expect_size=\"9792512\"] \n  4 -> 6 [size =\"9792512\"]\n  4 -> 8 [size =\"9792512\"]\n  5 [size=\"22064640\", alpha=\"0.17\", expect_size=\"8825856\"] \n  5 -> 10 [size =\"8825856\"]\n  5 -> 11 [size =\"8825856\"]\n  5 -> 12 [size =\"8825856\"]\n  6 [size=\"60715520\", alpha=\"0.04\", expect_size=\"24286208\"] \n  7 [size=\"113093120\", alpha=\"0.19\", expect_size=\"45237248\"] \n  7 -> 11 [size =\"45237248\"]\n  7 -> 12 [size =\"45237248\"]\n  7 -> 13 [size =\"45237248\"]\n  8 [size=\"87769600\", alpha=\"0.00\", expect_size=\"35107840\"] \n  8 -> 9 [size =\"35107840\"]\n  8 -> 11 [size =\"35107840\"]\n  8 -> 12 [size =\"35107840\"]\n  8 -> 13 [size =\"35107840\"]\n  9 [size=\"16460800\", alpha=\"0.07\", expect_size=\"6584320\"] \n  10 [size=\"120048640\", alpha=\"0.04\", expect_size=\"48019456\"] \n  10 -> 14 [size =\"48019456\"]\n  10 -> 15 [size =\"48019456\"]\n  10 -> 16 [size =\"48019456\"]\n  11 [size=\"96115200\", alpha=\"0.04\", expect_size=\"38446080\"] \n  11 -> 15 [size =\"38446080\"]\n  12 [size=\"42088960\", alpha=\"0.02\", expect_size=\"16835584\"] \n  12 -> 14 [size =\"16835584\"]\n  12 -> 17 [size =\"16835584\"]\n  13 [size=\"25958400\", alpha=\"0.00\", expect_size=\"10383360\"] \n  13 -> 14 [size =\"10383360\"]\n  13 -> 15 [size =\"10383360\"]\n  14 [size=\"67302400\", alpha=\"0.12\", expect_size=\"26920960\"] \n  14 -> 18 [size =\"26920960\"]\n  14 -> 20 [size =\"26920960\"]\n  15 [size=\"26321920\", alpha=\"0.19\", expect_size=\"10528768\"] \n  15 -> 19 [size =\"10528768\"]\n  16 [size=\"126958080\", alpha=\"0.09\", expect_size=\"50783232\"] \n  16 -> 19 [size =\"50783232\"]\n  16 -> 21 [size =\"50783232\"]\n  16 -> 22 [size =\"50783232\"]\n  17 [size=\"34319360\", alpha=\"0.04\", expect_size=\"13727744\"] \n  17 -> 19 [size =\"13727744\"]\n  17 -> 22 [size =\"13727744\"]\n  18 [size=\"30246400\", alpha=\"0.10\", expect_size=\"12098560\"] \n  18 -> 24 [size =\"12098560\"]\n  19 [size=\"30581760\", alpha=\"0.10\", expect_size=\"12232704\"] \n  19 -> 26 [size =\"12232704\"]\n  19 -> 27 [size =\"12232704\"]\n  20 [size=\"71828480\", alpha=\"0.05\", expect_size=\"28731392\"] \n  20 -> 26 [size =\"28731392\"]\n  20 -> 27 [size =\"28731392\"]\n  21 [size=\"95772160\", alpha=\"0.04\", expect_size=\"38308864\"] \n  21 -> 23 [size =\"38308864\"]\n  21 -> 25 [size =\"38308864\"]\n  22 [size=\"117598720\", alpha=\"0.04\", expect_size=\"47039488\"] \n  22 -> 23 [size =\"47039488\"]\n  22 -> 24 [size =\"47039488\"]\n  22 -> 25 [size =\"47039488\"]\n  23 [size=\"13724160\", alpha=\"0.15\", expect_size=\"5489664\"] \n  23 -> 29 [size =\"5489664\"]\n  23 -> 30 [size =\"5489664\"]\n  23 -> 32 [size =\"5489664\"]\n  24 [size=\"16578560\", alpha=\"0.07\", expect_size=\"6631424\"] \n  24 -> 31 [size =\"6631424\"]\n  25 [size=\"86080000\", alpha=\"0.01\", expect_size=\"34432000\"] \n  25 -> 28 [size =\"34432000\"]\n  25 -> 32 [size =\"34432000\"]\n  26 [size=\"80064000\", alpha=\"0.04\", expect_size=\"32025600\"] \n  26 -> 29 [size =\"32025600\"]\n  26 -> 30 [size =\"32025600\"]\n  26 -> 32 [size =\"32025600\"]\n  27 [size=\"131000320\", alpha=\"0.03\", expect_size=\"52400128\"] \n  27 -> 28 [size =\"52400128\"]\n  27 -> 29 [size =\"52400128\"]\n  27 -> 30 [size =\"52400128\"]\n  28 [size=\"38535680\", alpha=\"0.14\", expect_size=\"15414272\"] \n  28 -> 34 [size =\"15414272\"]\n  29 [size=\"98368000\", alpha=\"0.07\", expect_size=\"39347200\"] \n  29 -> 33 [size =\"39347200\"]\n  30 [size=\"40962560\", alpha=\"0.17\", expect_size=\"16385024\"] \n  30 -> 33 [size =\"16385024\"]\n  31 [size=\"72570880\", alpha=\"0.02\", expect_size=\"29028352\"] \n  31 -> 35 [size =\"29028352\"]\n  32 [size=\"97835520\", alpha=\"0.11\", expect_size=\"39134208\"] \n  32 -> 34 [size =\"39134208\"]\n  32 -> 35 [size =\"39134208\"]\n  33 [size=\"122042880\", alpha=\"0.03\", expect_size=\"48817152\"] \n  34 [size=\"90959360\", alpha=\"0.04\", expect_size=\"36383744\"] \n  35 [size=\"15953920\", alpha=\"0.07\", expect_size=\"6381568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60901376\", alpha=\"0.03\", expect_size=\"30450688\"] \n  1 -> 21 [size =\"30450688\"]\n  1 -> 27 [size =\"30450688\"]\n  1 -> 31 [size =\"30450688\"]\n  1 -> 33 [size =\"30450688\"]\n  1 -> 35 [size =\"30450688\"]\n  2 [size=\"34441216\", alpha=\"0.17\", expect_size=\"17220608\"] \n  2 -> 24 [size =\"17220608\"]\n  2 -> 26 [size =\"17220608\"]\n  2 -> 28 [size =\"17220608\"]\n  2 -> 33 [size =\"17220608\"]\n  2 -> 35 [size =\"17220608\"]\n  3 [size=\"78440448\", alpha=\"0.01\", expect_size=\"39220224\"] \n  3 -> 21 [size =\"39220224\"]\n  3 -> 23 [size =\"39220224\"]\n  3 -> 35 [size =\"39220224\"]\n  4 [size=\"12523520\", alpha=\"0.02\", expect_size=\"6261760\"] \n  4 -> 24 [size =\"6261760\"]\n  4 -> 25 [size =\"6261760\"]\n  4 -> 26 [size =\"6261760\"]\n  4 -> 28 [size =\"6261760\"]\n  4 -> 32 [size =\"6261760\"]\n  5 [size=\"64856064\", alpha=\"0.02\", expect_size=\"32428032\"] \n  5 -> 24 [size =\"32428032\"]\n  5 -> 26 [size =\"32428032\"]\n  5 -> 33 [size =\"32428032\"]\n  6 [size=\"99414016\", alpha=\"0.02\", expect_size=\"49707008\"] \n  6 -> 21 [size =\"49707008\"]\n  6 -> 24 [size =\"49707008\"]\n  6 -> 26 [size =\"49707008\"]\n  6 -> 30 [size =\"49707008\"]\n  7 [size=\"50812928\", alpha=\"0.06\", expect_size=\"25406464\"] \n  7 -> 21 [size =\"25406464\"]\n  7 -> 23 [size =\"25406464\"]\n  8 [size=\"93798400\", alpha=\"0.03\", expect_size=\"46899200\"] \n  8 -> 21 [size =\"46899200\"]\n  8 -> 22 [size =\"46899200\"]\n  8 -> 28 [size =\"46899200\"]\n  8 -> 32 [size =\"46899200\"]\n  8 -> 35 [size =\"46899200\"]\n  9 [size=\"94083072\", alpha=\"0.02\", expect_size=\"47041536\"] \n  9 -> 21 [size =\"47041536\"]\n  9 -> 23 [size =\"47041536\"]\n  9 -> 27 [size =\"47041536\"]\n  9 -> 28 [size =\"47041536\"]\n  9 -> 34 [size =\"47041536\"]\n  10 [size=\"71872512\", alpha=\"0.09\", expect_size=\"35936256\"] \n  10 -> 23 [size =\"35936256\"]\n  10 -> 24 [size =\"35936256\"]\n  10 -> 28 [size =\"35936256\"]\n  10 -> 33 [size =\"35936256\"]\n  11 [size=\"93790208\", alpha=\"0.04\", expect_size=\"46895104\"] \n  11 -> 24 [size =\"46895104\"]\n  11 -> 25 [size =\"46895104\"]\n  11 -> 28 [size =\"46895104\"]\n  12 [size=\"12781568\", alpha=\"0.08\", expect_size=\"6390784\"] \n  12 -> 21 [size =\"6390784\"]\n  12 -> 26 [size =\"6390784\"]\n  12 -> 30 [size =\"6390784\"]\n  12 -> 35 [size =\"6390784\"]\n  13 [size=\"94681088\", alpha=\"0.08\", expect_size=\"47340544\"] \n  13 -> 21 [size =\"47340544\"]\n  13 -> 26 [size =\"47340544\"]\n  13 -> 27 [size =\"47340544\"]\n  13 -> 28 [size =\"47340544\"]\n  13 -> 30 [size =\"47340544\"]\n  13 -> 31 [size =\"47340544\"]\n  14 [size=\"99454976\", alpha=\"0.10\", expect_size=\"49727488\"] \n  14 -> 22 [size =\"49727488\"]\n  14 -> 25 [size =\"49727488\"]\n  14 -> 26 [size =\"49727488\"]\n  14 -> 28 [size =\"49727488\"]\n  15 [size=\"15560704\", alpha=\"0.11\", expect_size=\"7780352\"] \n  15 -> 21 [size =\"7780352\"]\n  15 -> 24 [size =\"7780352\"]\n  15 -> 26 [size =\"7780352\"]\n  15 -> 27 [size =\"7780352\"]\n  16 [size=\"23377920\", alpha=\"0.18\", expect_size=\"11688960\"] \n  16 -> 23 [size =\"11688960\"]\n  16 -> 25 [size =\"11688960\"]\n  16 -> 29 [size =\"11688960\"]\n  17 [size=\"33538048\", alpha=\"0.14\", expect_size=\"16769024\"] \n  17 -> 23 [size =\"16769024\"]\n  17 -> 26 [size =\"16769024\"]\n  17 -> 27 [size =\"16769024\"]\n  17 -> 30 [size =\"16769024\"]\n  17 -> 34 [size =\"16769024\"]\n  18 [size=\"61806592\", alpha=\"0.04\", expect_size=\"30903296\"] \n  18 -> 23 [size =\"30903296\"]\n  18 -> 26 [size =\"30903296\"]\n  19 [size=\"74233856\", alpha=\"0.11\", expect_size=\"37116928\"] \n  19 -> 21 [size =\"37116928\"]\n  19 -> 23 [size =\"37116928\"]\n  19 -> 24 [size =\"37116928\"]\n  19 -> 25 [size =\"37116928\"]\n  19 -> 32 [size =\"37116928\"]\n  19 -> 33 [size =\"37116928\"]\n  19 -> 35 [size =\"37116928\"]\n  20 [size=\"81928192\", alpha=\"0.18\", expect_size=\"40964096\"] \n  20 -> 23 [size =\"40964096\"]\n  20 -> 24 [size =\"40964096\"]\n  20 -> 25 [size =\"40964096\"]\n  20 -> 31 [size =\"40964096\"]\n  20 -> 35 [size =\"40964096\"]\n  21 [size=\"29018112\", alpha=\"0.16\", expect_size=\"14509056\"] \n  22 [size=\"48879616\", alpha=\"0.19\", expect_size=\"24439808\"] \n  23 [size=\"86290432\", alpha=\"0.16\", expect_size=\"43145216\"] \n  24 [size=\"30210048\", alpha=\"0.13\", expect_size=\"15105024\"] \n  25 [size=\"76910592\", alpha=\"0.02\", expect_size=\"38455296\"] \n  26 [size=\"32573440\", alpha=\"0.10\", expect_size=\"16286720\"] \n  27 [size=\"24147968\", alpha=\"0.06\", expect_size=\"12073984\"] \n  28 [size=\"90447872\", alpha=\"0.00\", expect_size=\"45223936\"] \n  29 [size=\"13223936\", alpha=\"0.12\", expect_size=\"6611968\"] \n  30 [size=\"67344384\", alpha=\"0.17\", expect_size=\"33672192\"] \n  31 [size=\"59537408\", alpha=\"0.19\", expect_size=\"29768704\"] \n  32 [size=\"40220672\", alpha=\"0.02\", expect_size=\"20110336\"] \n  33 [size=\"33351680\", alpha=\"0.03\", expect_size=\"16675840\"] \n  34 [size=\"12511232\", alpha=\"0.03\", expect_size=\"6255616\"] \n  35 [size=\"74113024\", alpha=\"0.03\", expect_size=\"37056512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41936896\", alpha=\"0.03\", expect_size=\"20968448\"] \n  1 -> 2 [size =\"20968448\"]\n  2 [size=\"37623808\", alpha=\"0.06\", expect_size=\"18811904\"] \n  2 -> 3 [size =\"18811904\"]\n  3 [size=\"90961920\", alpha=\"0.14\", expect_size=\"45480960\"] \n  3 -> 4 [size =\"45480960\"]\n  4 [size=\"63545344\", alpha=\"0.13\", expect_size=\"31772672\"] \n  4 -> 5 [size =\"31772672\"]\n  5 [size=\"57892864\", alpha=\"0.09\", expect_size=\"28946432\"] \n  5 -> 6 [size =\"28946432\"]\n  6 [size=\"50767872\", alpha=\"0.17\", expect_size=\"25383936\"] \n  6 -> 7 [size =\"25383936\"]\n  7 [size=\"69392384\", alpha=\"0.15\", expect_size=\"34696192\"] \n  7 -> 8 [size =\"34696192\"]\n  8 [size=\"29890560\", alpha=\"0.01\", expect_size=\"14945280\"] \n  8 -> 9 [size =\"14945280\"]\n  9 [size=\"54112256\", alpha=\"0.03\", expect_size=\"27056128\"] \n  9 -> 10 [size =\"27056128\"]\n  10 [size=\"38072320\", alpha=\"0.17\", expect_size=\"19036160\"] \n  10 -> 11 [size =\"19036160\"]\n  11 [size=\"13557760\", alpha=\"0.15\", expect_size=\"6778880\"] \n  11 -> 12 [size =\"6778880\"]\n  12 [size=\"27437056\", alpha=\"0.00\", expect_size=\"13718528\"] \n  12 -> 13 [size =\"13718528\"]\n  13 [size=\"58075136\", alpha=\"0.02\", expect_size=\"29037568\"] \n  13 -> 14 [size =\"29037568\"]\n  14 [size=\"31219712\", alpha=\"0.15\", expect_size=\"15609856\"] \n  14 -> 15 [size =\"15609856\"]\n  15 [size=\"94369792\", alpha=\"0.17\", expect_size=\"47184896\"] \n  15 -> 16 [size =\"47184896\"]\n  16 [size=\"41105408\", alpha=\"0.01\", expect_size=\"20552704\"] \n  16 -> 17 [size =\"20552704\"]\n  17 [size=\"25585664\", alpha=\"0.07\", expect_size=\"12792832\"] \n  17 -> 18 [size =\"12792832\"]\n  18 [size=\"98619392\", alpha=\"0.09\", expect_size=\"49309696\"] \n  18 -> 19 [size =\"49309696\"]\n  19 [size=\"103991296\", alpha=\"0.16\", expect_size=\"51995648\"] \n  19 -> 20 [size =\"51995648\"]\n  20 [size=\"22192128\", alpha=\"0.00\", expect_size=\"11096064\"] \n  20 -> 21 [size =\"11096064\"]\n  21 [size=\"102324224\", alpha=\"0.11\", expect_size=\"51162112\"] \n  21 -> 22 [size =\"51162112\"]\n  22 [size=\"79710208\", alpha=\"0.07\", expect_size=\"39855104\"] \n  22 -> 23 [size =\"39855104\"]\n  23 [size=\"79933440\", alpha=\"0.01\", expect_size=\"39966720\"] \n  23 -> 24 [size =\"39966720\"]\n  24 [size=\"88338432\", alpha=\"0.06\", expect_size=\"44169216\"] \n  24 -> 25 [size =\"44169216\"]\n  25 [size=\"63223808\", alpha=\"0.00\", expect_size=\"31611904\"] \n  25 -> 26 [size =\"31611904\"]\n  26 [size=\"48848896\", alpha=\"0.04\", expect_size=\"24424448\"] \n  26 -> 27 [size =\"24424448\"]\n  27 [size=\"51748864\", alpha=\"0.20\", expect_size=\"25874432\"] \n  27 -> 28 [size =\"25874432\"]\n  28 [size=\"83347456\", alpha=\"0.19\", expect_size=\"41673728\"] \n  28 -> 29 [size =\"41673728\"]\n  29 [size=\"30377984\", alpha=\"0.09\", expect_size=\"15188992\"] \n  29 -> 30 [size =\"15188992\"]\n  30 [size=\"12754944\", alpha=\"0.04\", expect_size=\"6377472\"] \n  30 -> 31 [size =\"6377472\"]\n  31 [size=\"14116864\", alpha=\"0.19\", expect_size=\"7058432\"] \n  31 -> 32 [size =\"7058432\"]\n  32 [size=\"65916928\", alpha=\"0.19\", expect_size=\"32958464\"] \n  32 -> 33 [size =\"32958464\"]\n  33 [size=\"100919296\", alpha=\"0.08\", expect_size=\"50459648\"] \n  33 -> 34 [size =\"50459648\"]\n  34 [size=\"10856448\", alpha=\"0.02\", expect_size=\"5428224\"] \n  34 -> 35 [size =\"5428224\"]\n  35 [size=\"37537792\", alpha=\"0.13\", expect_size=\"18768896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82135040\", alpha=\"0.15\", expect_size=\"24640512\"] \n  1 -> 3 [size =\"24640512\"]\n  1 -> 4 [size =\"24640512\"]\n  2 [size=\"126064640\", alpha=\"0.08\", expect_size=\"37819392\"] \n  3 [size=\"69092693\", alpha=\"0.06\", expect_size=\"20727808\"] \n  4 [size=\"108253867\", alpha=\"0.14\", expect_size=\"32476160\"] \n  4 -> 5 [size =\"32476160\"]\n  5 [size=\"51944107\", alpha=\"0.15\", expect_size=\"15583232\"] \n  5 -> 6 [size =\"15583232\"]\n  6 [size=\"122364587\", alpha=\"0.07\", expect_size=\"36709376\"] \n  6 -> 7 [size =\"36709376\"]\n  7 [size=\"150009173\", alpha=\"0.13\", expect_size=\"45002752\"] \n  7 -> 8 [size =\"45002752\"]\n  7 -> 9 [size =\"45002752\"]\n  8 [size=\"79254187\", alpha=\"0.09\", expect_size=\"23776256\"] \n  9 [size=\"80527360\", alpha=\"0.04\", expect_size=\"24158208\"] \n  9 -> 10 [size =\"24158208\"]\n  10 [size=\"116183040\", alpha=\"0.17\", expect_size=\"34854912\"] \n  10 -> 11 [size =\"34854912\"]\n  11 [size=\"97082027\", alpha=\"0.18\", expect_size=\"29124608\"] \n  11 -> 12 [size =\"29124608\"]\n  12 [size=\"55814827\", alpha=\"0.07\", expect_size=\"16744448\"] \n  12 -> 13 [size =\"16744448\"]\n  13 [size=\"121896960\", alpha=\"0.12\", expect_size=\"36569088\"] \n  13 -> 14 [size =\"36569088\"]\n  13 -> 15 [size =\"36569088\"]\n  14 [size=\"170096640\", alpha=\"0.18\", expect_size=\"51028992\"] \n  14 -> 16 [size =\"51028992\"]\n  15 [size=\"120719360\", alpha=\"0.07\", expect_size=\"36215808\"] \n  16 [size=\"79223467\", alpha=\"0.03\", expect_size=\"23767040\"] \n  16 -> 17 [size =\"23767040\"]\n  16 -> 18 [size =\"23767040\"]\n  17 [size=\"130672640\", alpha=\"0.13\", expect_size=\"39201792\"] \n  17 -> 19 [size =\"39201792\"]\n  18 [size=\"75322027\", alpha=\"0.10\", expect_size=\"22596608\"] \n  18 -> 19 [size =\"22596608\"]\n  19 [size=\"147793920\", alpha=\"0.01\", expect_size=\"44338176\"] \n  19 -> 20 [size =\"44338176\"]\n  19 -> 21 [size =\"44338176\"]\n  20 [size=\"25101653\", alpha=\"0.12\", expect_size=\"7530496\"] \n  20 -> 22 [size =\"7530496\"]\n  21 [size=\"156569600\", alpha=\"0.11\", expect_size=\"46970880\"] \n  22 [size=\"139438080\", alpha=\"0.04\", expect_size=\"41831424\"] \n  22 -> 23 [size =\"41831424\"]\n  22 -> 24 [size =\"41831424\"]\n  23 [size=\"37297493\", alpha=\"0.04\", expect_size=\"11189248\"] \n  23 -> 25 [size =\"11189248\"]\n  24 [size=\"132208640\", alpha=\"0.15\", expect_size=\"39662592\"] \n  25 [size=\"118094507\", alpha=\"0.11\", expect_size=\"35428352\"] \n  25 -> 26 [size =\"35428352\"]\n  25 -> 27 [size =\"35428352\"]\n  26 [size=\"173202773\", alpha=\"0.20\", expect_size=\"51960832\"] \n  26 -> 29 [size =\"51960832\"]\n  27 [size=\"38352213\", alpha=\"0.06\", expect_size=\"11505664\"] \n  27 -> 28 [size =\"11505664\"]\n  28 [size=\"138158080\", alpha=\"0.19\", expect_size=\"41447424\"] \n  29 [size=\"60624213\", alpha=\"0.01\", expect_size=\"18187264\"] \n  29 -> 30 [size =\"18187264\"]\n  30 [size=\"67167573\", alpha=\"0.15\", expect_size=\"20150272\"] \n  30 -> 31 [size =\"20150272\"]\n  31 [size=\"160870400\", alpha=\"0.19\", expect_size=\"48261120\"] \n  31 -> 32 [size =\"48261120\"]\n  31 -> 33 [size =\"48261120\"]\n  32 [size=\"91822080\", alpha=\"0.09\", expect_size=\"27546624\"] \n  33 [size=\"125893973\", alpha=\"0.11\", expect_size=\"37768192\"] \n  33 -> 34 [size =\"37768192\"]\n  33 -> 35 [size =\"37768192\"]\n  34 [size=\"157422933\", alpha=\"0.13\", expect_size=\"47226880\"] \n  35 [size=\"119896747\", alpha=\"0.08\", expect_size=\"35969024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125665280\", alpha=\"0.12\", expect_size=\"37699584\"] \n  1 -> 13 [size =\"37699584\"]\n  1 -> 15 [size =\"37699584\"]\n  1 -> 16 [size =\"37699584\"]\n  1 -> 17 [size =\"37699584\"]\n  1 -> 19 [size =\"37699584\"]\n  1 -> 20 [size =\"37699584\"]\n  1 -> 23 [size =\"37699584\"]\n  1 -> 24 [size =\"37699584\"]\n  1 -> 25 [size =\"37699584\"]\n  1 -> 26 [size =\"37699584\"]\n  2 [size=\"150801067\", alpha=\"0.01\", expect_size=\"45240320\"] \n  2 -> 13 [size =\"45240320\"]\n  2 -> 15 [size =\"45240320\"]\n  2 -> 16 [size =\"45240320\"]\n  2 -> 19 [size =\"45240320\"]\n  3 [size=\"19432107\", alpha=\"0.20\", expect_size=\"5829632\"] \n  3 -> 14 [size =\"5829632\"]\n  3 -> 18 [size =\"5829632\"]\n  3 -> 19 [size =\"5829632\"]\n  3 -> 21 [size =\"5829632\"]\n  3 -> 23 [size =\"5829632\"]\n  3 -> 24 [size =\"5829632\"]\n  3 -> 25 [size =\"5829632\"]\n  4 [size=\"94781440\", alpha=\"0.10\", expect_size=\"28434432\"] \n  4 -> 13 [size =\"28434432\"]\n  4 -> 19 [size =\"28434432\"]\n  4 -> 21 [size =\"28434432\"]\n  4 -> 25 [size =\"28434432\"]\n  4 -> 26 [size =\"28434432\"]\n  5 [size=\"62617600\", alpha=\"0.00\", expect_size=\"18785280\"] \n  5 -> 13 [size =\"18785280\"]\n  5 -> 15 [size =\"18785280\"]\n  5 -> 22 [size =\"18785280\"]\n  5 -> 23 [size =\"18785280\"]\n  5 -> 26 [size =\"18785280\"]\n  6 [size=\"101345280\", alpha=\"0.07\", expect_size=\"30403584\"] \n  6 -> 13 [size =\"30403584\"]\n  6 -> 23 [size =\"30403584\"]\n  6 -> 24 [size =\"30403584\"]\n  7 [size=\"113401173\", alpha=\"0.02\", expect_size=\"34020352\"] \n  7 -> 13 [size =\"34020352\"]\n  7 -> 14 [size =\"34020352\"]\n  7 -> 15 [size =\"34020352\"]\n  7 -> 20 [size =\"34020352\"]\n  7 -> 21 [size =\"34020352\"]\n  7 -> 23 [size =\"34020352\"]\n  8 [size=\"150941013\", alpha=\"0.13\", expect_size=\"45282304\"] \n  8 -> 13 [size =\"45282304\"]\n  9 [size=\"104823467\", alpha=\"0.10\", expect_size=\"31447040\"] \n  9 -> 14 [size =\"31447040\"]\n  9 -> 16 [size =\"31447040\"]\n  9 -> 19 [size =\"31447040\"]\n  9 -> 22 [size =\"31447040\"]\n  10 [size=\"22026240\", alpha=\"0.04\", expect_size=\"6607872\"] \n  10 -> 14 [size =\"6607872\"]\n  10 -> 18 [size =\"6607872\"]\n  10 -> 20 [size =\"6607872\"]\n  11 [size=\"76738560\", alpha=\"0.19\", expect_size=\"23021568\"] \n  11 -> 14 [size =\"23021568\"]\n  11 -> 20 [size =\"23021568\"]\n  11 -> 23 [size =\"23021568\"]\n  11 -> 25 [size =\"23021568\"]\n  12 [size=\"167325013\", alpha=\"0.12\", expect_size=\"50197504\"] \n  12 -> 14 [size =\"50197504\"]\n  12 -> 15 [size =\"50197504\"]\n  12 -> 19 [size =\"50197504\"]\n  12 -> 20 [size =\"50197504\"]\n  12 -> 25 [size =\"50197504\"]\n  13 [size=\"17807360\", alpha=\"0.14\", expect_size=\"5342208\"] \n  13 -> 27 [size =\"5342208\"]\n  13 -> 31 [size =\"5342208\"]\n  13 -> 33 [size =\"5342208\"]\n  14 [size=\"173264213\", alpha=\"0.12\", expect_size=\"51979264\"] \n  14 -> 30 [size =\"51979264\"]\n  14 -> 32 [size =\"51979264\"]\n  14 -> 33 [size =\"51979264\"]\n  15 [size=\"97747627\", alpha=\"0.05\", expect_size=\"29324288\"] \n  15 -> 29 [size =\"29324288\"]\n  15 -> 30 [size =\"29324288\"]\n  15 -> 31 [size =\"29324288\"]\n  15 -> 34 [size =\"29324288\"]\n  15 -> 35 [size =\"29324288\"]\n  16 [size=\"100959573\", alpha=\"0.17\", expect_size=\"30287872\"] \n  16 -> 30 [size =\"30287872\"]\n  16 -> 31 [size =\"30287872\"]\n  16 -> 31 [size =\"30287872\"]\n  16 -> 33 [size =\"30287872\"]\n  16 -> 34 [size =\"30287872\"]\n  17 [size=\"156317013\", alpha=\"0.17\", expect_size=\"46895104\"] \n  17 -> 30 [size =\"46895104\"]\n  17 -> 33 [size =\"46895104\"]\n  18 [size=\"171639467\", alpha=\"0.16\", expect_size=\"51491840\"] \n  18 -> 30 [size =\"51491840\"]\n  18 -> 32 [size =\"51491840\"]\n  18 -> 33 [size =\"51491840\"]\n  19 [size=\"113305600\", alpha=\"0.09\", expect_size=\"33991680\"] \n  19 -> 29 [size =\"33991680\"]\n  19 -> 32 [size =\"33991680\"]\n  19 -> 34 [size =\"33991680\"]\n  20 [size=\"36901547\", alpha=\"0.11\", expect_size=\"11070464\"] \n  20 -> 32 [size =\"11070464\"]\n  20 -> 32 [size =\"11070464\"]\n  20 -> 33 [size =\"11070464\"]\n  20 -> 34 [size =\"11070464\"]\n  21 [size=\"71512747\", alpha=\"0.07\", expect_size=\"21453824\"] \n  21 -> 29 [size =\"21453824\"]\n  21 -> 33 [size =\"21453824\"]\n  21 -> 34 [size =\"21453824\"]\n  21 -> 35 [size =\"21453824\"]\n  22 [size=\"65204907\", alpha=\"0.00\", expect_size=\"19561472\"] \n  22 -> 28 [size =\"19561472\"]\n  22 -> 29 [size =\"19561472\"]\n  22 -> 35 [size =\"19561472\"]\n  23 [size=\"158122667\", alpha=\"0.14\", expect_size=\"47436800\"] \n  23 -> 30 [size =\"47436800\"]\n  23 -> 31 [size =\"47436800\"]\n  23 -> 32 [size =\"47436800\"]\n  23 -> 33 [size =\"47436800\"]\n  24 [size=\"109298347\", alpha=\"0.17\", expect_size=\"32789504\"] \n  24 -> 27 [size =\"32789504\"]\n  24 -> 30 [size =\"32789504\"]\n  24 -> 33 [size =\"32789504\"]\n  24 -> 34 [size =\"32789504\"]\n  25 [size=\"46557867\", alpha=\"0.06\", expect_size=\"13967360\"] \n  25 -> 34 [size =\"13967360\"]\n  25 -> 35 [size =\"13967360\"]\n  26 [size=\"87705600\", alpha=\"0.05\", expect_size=\"26311680\"] \n  26 -> 27 [size =\"26311680\"]\n  26 -> 31 [size =\"26311680\"]\n  26 -> 34 [size =\"26311680\"]\n  27 [size=\"60392107\", alpha=\"0.17\", expect_size=\"18117632\"] \n  28 [size=\"33102507\", alpha=\"0.06\", expect_size=\"9930752\"] \n  29 [size=\"161314133\", alpha=\"0.06\", expect_size=\"48394240\"] \n  30 [size=\"71662933\", alpha=\"0.06\", expect_size=\"21498880\"] \n  31 [size=\"158085120\", alpha=\"0.14\", expect_size=\"47425536\"] \n  32 [size=\"56913920\", alpha=\"0.01\", expect_size=\"17074176\"] \n  33 [size=\"58753707\", alpha=\"0.08\", expect_size=\"17626112\"] \n  34 [size=\"165570560\", alpha=\"0.15\", expect_size=\"49671168\"] \n  35 [size=\"140093440\", alpha=\"0.12\", expect_size=\"42028032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88883200\", alpha=\"0.10\", expect_size=\"44441600\"] \n  1 -> 12 [size =\"44441600\"]\n  1 -> 14 [size =\"44441600\"]\n  1 -> 16 [size =\"44441600\"]\n  1 -> 20 [size =\"44441600\"]\n  1 -> 21 [size =\"44441600\"]\n  1 -> 22 [size =\"44441600\"]\n  2 [size=\"17360896\", alpha=\"0.03\", expect_size=\"8680448\"] \n  2 -> 18 [size =\"8680448\"]\n  2 -> 19 [size =\"8680448\"]\n  2 -> 20 [size =\"8680448\"]\n  2 -> 20 [size =\"8680448\"]\n  2 -> 22 [size =\"8680448\"]\n  3 [size=\"75175936\", alpha=\"0.16\", expect_size=\"37587968\"] \n  3 -> 12 [size =\"37587968\"]\n  3 -> 15 [size =\"37587968\"]\n  3 -> 17 [size =\"37587968\"]\n  3 -> 23 [size =\"37587968\"]\n  4 [size=\"38649856\", alpha=\"0.10\", expect_size=\"19324928\"] \n  4 -> 12 [size =\"19324928\"]\n  4 -> 14 [size =\"19324928\"]\n  4 -> 15 [size =\"19324928\"]\n  4 -> 21 [size =\"19324928\"]\n  5 [size=\"30429184\", alpha=\"0.01\", expect_size=\"15214592\"] \n  5 -> 12 [size =\"15214592\"]\n  5 -> 14 [size =\"15214592\"]\n  5 -> 15 [size =\"15214592\"]\n  5 -> 18 [size =\"15214592\"]\n  5 -> 21 [size =\"15214592\"]\n  5 -> 22 [size =\"15214592\"]\n  6 [size=\"97841152\", alpha=\"0.00\", expect_size=\"48920576\"] \n  6 -> 12 [size =\"48920576\"]\n  6 -> 17 [size =\"48920576\"]\n  6 -> 18 [size =\"48920576\"]\n  6 -> 18 [size =\"48920576\"]\n  6 -> 19 [size =\"48920576\"]\n  6 -> 20 [size =\"48920576\"]\n  6 -> 21 [size =\"48920576\"]\n  6 -> 22 [size =\"48920576\"]\n  6 -> 23 [size =\"48920576\"]\n  7 [size=\"31754240\", alpha=\"0.07\", expect_size=\"15877120\"] \n  7 -> 13 [size =\"15877120\"]\n  7 -> 15 [size =\"15877120\"]\n  8 [size=\"40302592\", alpha=\"0.01\", expect_size=\"20151296\"] \n  8 -> 14 [size =\"20151296\"]\n  8 -> 17 [size =\"20151296\"]\n  8 -> 18 [size =\"20151296\"]\n  8 -> 19 [size =\"20151296\"]\n  9 [size=\"100696064\", alpha=\"0.13\", expect_size=\"50348032\"] \n  9 -> 12 [size =\"50348032\"]\n  9 -> 13 [size =\"50348032\"]\n  9 -> 14 [size =\"50348032\"]\n  9 -> 22 [size =\"50348032\"]\n  10 [size=\"36161536\", alpha=\"0.04\", expect_size=\"18080768\"] \n  10 -> 12 [size =\"18080768\"]\n  10 -> 14 [size =\"18080768\"]\n  10 -> 17 [size =\"18080768\"]\n  10 -> 18 [size =\"18080768\"]\n  10 -> 21 [size =\"18080768\"]\n  11 [size=\"31903744\", alpha=\"0.06\", expect_size=\"15951872\"] \n  11 -> 14 [size =\"15951872\"]\n  11 -> 15 [size =\"15951872\"]\n  11 -> 18 [size =\"15951872\"]\n  11 -> 20 [size =\"15951872\"]\n  11 -> 23 [size =\"15951872\"]\n  12 [size=\"80939008\", alpha=\"0.10\", expect_size=\"40469504\"] \n  12 -> 25 [size =\"40469504\"]\n  12 -> 32 [size =\"40469504\"]\n  12 -> 33 [size =\"40469504\"]\n  12 -> 35 [size =\"40469504\"]\n  13 [size=\"96299008\", alpha=\"0.13\", expect_size=\"48149504\"] \n  13 -> 27 [size =\"48149504\"]\n  13 -> 30 [size =\"48149504\"]\n  13 -> 34 [size =\"48149504\"]\n  13 -> 35 [size =\"48149504\"]\n  14 [size=\"78837760\", alpha=\"0.13\", expect_size=\"39418880\"] \n  14 -> 25 [size =\"39418880\"]\n  14 -> 29 [size =\"39418880\"]\n  14 -> 35 [size =\"39418880\"]\n  15 [size=\"32260096\", alpha=\"0.04\", expect_size=\"16130048\"] \n  15 -> 27 [size =\"16130048\"]\n  15 -> 28 [size =\"16130048\"]\n  15 -> 31 [size =\"16130048\"]\n  16 [size=\"37259264\", alpha=\"0.12\", expect_size=\"18629632\"] \n  16 -> 26 [size =\"18629632\"]\n  16 -> 27 [size =\"18629632\"]\n  16 -> 29 [size =\"18629632\"]\n  16 -> 31 [size =\"18629632\"]\n  16 -> 33 [size =\"18629632\"]\n  17 [size=\"37398528\", alpha=\"0.20\", expect_size=\"18699264\"] \n  17 -> 26 [size =\"18699264\"]\n  17 -> 27 [size =\"18699264\"]\n  17 -> 28 [size =\"18699264\"]\n  17 -> 29 [size =\"18699264\"]\n  17 -> 32 [size =\"18699264\"]\n  17 -> 35 [size =\"18699264\"]\n  18 [size=\"70000640\", alpha=\"0.19\", expect_size=\"35000320\"] \n  18 -> 25 [size =\"35000320\"]\n  18 -> 27 [size =\"35000320\"]\n  18 -> 28 [size =\"35000320\"]\n  18 -> 35 [size =\"35000320\"]\n  19 [size=\"75251712\", alpha=\"0.15\", expect_size=\"37625856\"] \n  19 -> 28 [size =\"37625856\"]\n  19 -> 29 [size =\"37625856\"]\n  19 -> 31 [size =\"37625856\"]\n  19 -> 35 [size =\"37625856\"]\n  20 [size=\"42260480\", alpha=\"0.16\", expect_size=\"21130240\"] \n  20 -> 27 [size =\"21130240\"]\n  20 -> 31 [size =\"21130240\"]\n  20 -> 34 [size =\"21130240\"]\n  21 [size=\"59648000\", alpha=\"0.13\", expect_size=\"29824000\"] \n  21 -> 29 [size =\"29824000\"]\n  21 -> 30 [size =\"29824000\"]\n  21 -> 31 [size =\"29824000\"]\n  21 -> 32 [size =\"29824000\"]\n  21 -> 35 [size =\"29824000\"]\n  22 [size=\"87431168\", alpha=\"0.12\", expect_size=\"43715584\"] \n  22 -> 26 [size =\"43715584\"]\n  22 -> 33 [size =\"43715584\"]\n  23 [size=\"41953280\", alpha=\"0.05\", expect_size=\"20976640\"] \n  23 -> 24 [size =\"20976640\"]\n  23 -> 26 [size =\"20976640\"]\n  24 [size=\"102289408\", alpha=\"0.03\", expect_size=\"51144704\"] \n  25 [size=\"70076416\", alpha=\"0.06\", expect_size=\"35038208\"] \n  26 [size=\"87783424\", alpha=\"0.07\", expect_size=\"43891712\"] \n  27 [size=\"48377856\", alpha=\"0.13\", expect_size=\"24188928\"] \n  28 [size=\"48007168\", alpha=\"0.05\", expect_size=\"24003584\"] \n  29 [size=\"43554816\", alpha=\"0.16\", expect_size=\"21777408\"] \n  30 [size=\"21305344\", alpha=\"0.12\", expect_size=\"10652672\"] \n  31 [size=\"96733184\", alpha=\"0.13\", expect_size=\"48366592\"] \n  32 [size=\"65122304\", alpha=\"0.09\", expect_size=\"32561152\"] \n  33 [size=\"27717632\", alpha=\"0.04\", expect_size=\"13858816\"] \n  34 [size=\"49213440\", alpha=\"0.12\", expect_size=\"24606720\"] \n  35 [size=\"63401984\", alpha=\"0.06\", expect_size=\"31700992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40402944\", alpha=\"0.07\", expect_size=\"20201472\"] \n  1 -> 5 [size =\"20201472\"]\n  1 -> 6 [size =\"20201472\"]\n  1 -> 10 [size =\"20201472\"]\n  2 [size=\"24059904\", alpha=\"0.12\", expect_size=\"12029952\"] \n  2 -> 6 [size =\"12029952\"]\n  2 -> 10 [size =\"12029952\"]\n  3 [size=\"69656576\", alpha=\"0.03\", expect_size=\"34828288\"] \n  3 -> 7 [size =\"34828288\"]\n  3 -> 9 [size =\"34828288\"]\n  4 [size=\"95117312\", alpha=\"0.16\", expect_size=\"47558656\"] \n  4 -> 5 [size =\"47558656\"]\n  4 -> 8 [size =\"47558656\"]\n  5 [size=\"78776320\", alpha=\"0.07\", expect_size=\"39388160\"] \n  5 -> 11 [size =\"39388160\"]\n  6 [size=\"88340480\", alpha=\"0.16\", expect_size=\"44170240\"] \n  6 -> 11 [size =\"44170240\"]\n  7 [size=\"97470464\", alpha=\"0.07\", expect_size=\"48735232\"] \n  7 -> 12 [size =\"48735232\"]\n  8 [size=\"58001408\", alpha=\"0.00\", expect_size=\"29000704\"] \n  9 [size=\"99629056\", alpha=\"0.01\", expect_size=\"49814528\"] \n  10 [size=\"96966656\", alpha=\"0.01\", expect_size=\"48483328\"] \n  11 [size=\"77705216\", alpha=\"0.16\", expect_size=\"38852608\"] \n  11 -> 13 [size =\"38852608\"]\n  11 -> 14 [size =\"38852608\"]\n  11 -> 15 [size =\"38852608\"]\n  11 -> 16 [size =\"38852608\"]\n  11 -> 17 [size =\"38852608\"]\n  11 -> 18 [size =\"38852608\"]\n  12 [size=\"16932864\", alpha=\"0.19\", expect_size=\"8466432\"] \n  12 -> 17 [size =\"8466432\"]\n  12 -> 18 [size =\"8466432\"]\n  12 -> 19 [size =\"8466432\"]\n  13 [size=\"73801728\", alpha=\"0.19\", expect_size=\"36900864\"] \n  13 -> 25 [size =\"36900864\"]\n  14 [size=\"86315008\", alpha=\"0.11\", expect_size=\"43157504\"] \n  14 -> 20 [size =\"43157504\"]\n  14 -> 24 [size =\"43157504\"]\n  15 [size=\"68831232\", alpha=\"0.04\", expect_size=\"34415616\"] \n  15 -> 20 [size =\"34415616\"]\n  15 -> 26 [size =\"34415616\"]\n  16 [size=\"100665344\", alpha=\"0.16\", expect_size=\"50332672\"] \n  16 -> 21 [size =\"50332672\"]\n  16 -> 22 [size =\"50332672\"]\n  16 -> 25 [size =\"50332672\"]\n  16 -> 26 [size =\"50332672\"]\n  17 [size=\"79878144\", alpha=\"0.16\", expect_size=\"39939072\"] \n  17 -> 22 [size =\"39939072\"]\n  17 -> 23 [size =\"39939072\"]\n  17 -> 24 [size =\"39939072\"]\n  17 -> 25 [size =\"39939072\"]\n  18 [size=\"18806784\", alpha=\"0.11\", expect_size=\"9403392\"] \n  18 -> 22 [size =\"9403392\"]\n  18 -> 23 [size =\"9403392\"]\n  18 -> 25 [size =\"9403392\"]\n  19 [size=\"19922944\", alpha=\"0.05\", expect_size=\"9961472\"] \n  19 -> 22 [size =\"9961472\"]\n  19 -> 23 [size =\"9961472\"]\n  20 [size=\"26918912\", alpha=\"0.17\", expect_size=\"13459456\"] \n  20 -> 29 [size =\"13459456\"]\n  20 -> 32 [size =\"13459456\"]\n  20 -> 33 [size =\"13459456\"]\n  21 [size=\"30515200\", alpha=\"0.16\", expect_size=\"15257600\"] \n  21 -> 29 [size =\"15257600\"]\n  21 -> 31 [size =\"15257600\"]\n  21 -> 33 [size =\"15257600\"]\n  22 [size=\"13082624\", alpha=\"0.18\", expect_size=\"6541312\"] \n  22 -> 29 [size =\"6541312\"]\n  22 -> 30 [size =\"6541312\"]\n  22 -> 31 [size =\"6541312\"]\n  22 -> 33 [size =\"6541312\"]\n  23 [size=\"103522304\", alpha=\"0.13\", expect_size=\"51761152\"] \n  23 -> 31 [size =\"51761152\"]\n  23 -> 33 [size =\"51761152\"]\n  24 [size=\"99112960\", alpha=\"0.05\", expect_size=\"49556480\"] \n  24 -> 30 [size =\"49556480\"]\n  24 -> 31 [size =\"49556480\"]\n  25 [size=\"55824384\", alpha=\"0.12\", expect_size=\"27912192\"] \n  25 -> 27 [size =\"27912192\"]\n  25 -> 30 [size =\"27912192\"]\n  25 -> 32 [size =\"27912192\"]\n  25 -> 33 [size =\"27912192\"]\n  26 [size=\"74268672\", alpha=\"0.15\", expect_size=\"37134336\"] \n  26 -> 28 [size =\"37134336\"]\n  26 -> 30 [size =\"37134336\"]\n  26 -> 32 [size =\"37134336\"]\n  27 [size=\"54710272\", alpha=\"0.17\", expect_size=\"27355136\"] \n  28 [size=\"33898496\", alpha=\"0.09\", expect_size=\"16949248\"] \n  28 -> 35 [size =\"16949248\"]\n  29 [size=\"87814144\", alpha=\"0.20\", expect_size=\"43907072\"] \n  29 -> 34 [size =\"43907072\"]\n  30 [size=\"14739456\", alpha=\"0.09\", expect_size=\"7369728\"] \n  30 -> 34 [size =\"7369728\"]\n  31 [size=\"96010240\", alpha=\"0.12\", expect_size=\"48005120\"] \n  31 -> 34 [size =\"48005120\"]\n  32 [size=\"78426112\", alpha=\"0.17\", expect_size=\"39213056\"] \n  32 -> 34 [size =\"39213056\"]\n  33 [size=\"69935104\", alpha=\"0.15\", expect_size=\"34967552\"] \n  34 [size=\"35338240\", alpha=\"0.09\", expect_size=\"17669120\"] \n  35 [size=\"59265024\", alpha=\"0.16\", expect_size=\"29632512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167994027\", alpha=\"0.09\", expect_size=\"50398208\"] \n  1 -> 2 [size =\"50398208\"]\n  2 [size=\"153303040\", alpha=\"0.20\", expect_size=\"45990912\"] \n  2 -> 3 [size =\"45990912\"]\n  3 [size=\"21504000\", alpha=\"0.08\", expect_size=\"6451200\"] \n  3 -> 4 [size =\"6451200\"]\n  4 [size=\"57600000\", alpha=\"0.09\", expect_size=\"17280000\"] \n  4 -> 5 [size =\"17280000\"]\n  5 [size=\"19623253\", alpha=\"0.13\", expect_size=\"5886976\"] \n  5 -> 6 [size =\"5886976\"]\n  6 [size=\"105400320\", alpha=\"0.12\", expect_size=\"31620096\"] \n  6 -> 7 [size =\"31620096\"]\n  7 [size=\"62621013\", alpha=\"0.06\", expect_size=\"18786304\"] \n  7 -> 8 [size =\"18786304\"]\n  8 [size=\"43264000\", alpha=\"0.01\", expect_size=\"12979200\"] \n  8 -> 9 [size =\"12979200\"]\n  9 [size=\"72229547\", alpha=\"0.06\", expect_size=\"21668864\"] \n  9 -> 10 [size =\"21668864\"]\n  10 [size=\"47182507\", alpha=\"0.04\", expect_size=\"14154752\"] \n  10 -> 11 [size =\"14154752\"]\n  11 [size=\"118155947\", alpha=\"0.00\", expect_size=\"35446784\"] \n  11 -> 12 [size =\"35446784\"]\n  12 [size=\"34382507\", alpha=\"0.04\", expect_size=\"10314752\"] \n  12 -> 13 [size =\"10314752\"]\n  13 [size=\"32918187\", alpha=\"0.08\", expect_size=\"9875456\"] \n  13 -> 14 [size =\"9875456\"]\n  14 [size=\"94805333\", alpha=\"0.11\", expect_size=\"28441600\"] \n  14 -> 15 [size =\"28441600\"]\n  15 [size=\"164416853\", alpha=\"0.16\", expect_size=\"49325056\"] \n  15 -> 16 [size =\"49325056\"]\n  16 [size=\"107898880\", alpha=\"0.17\", expect_size=\"32369664\"] \n  16 -> 17 [size =\"32369664\"]\n  17 [size=\"42328747\", alpha=\"0.15\", expect_size=\"12698624\"] \n  17 -> 18 [size =\"12698624\"]\n  18 [size=\"92402347\", alpha=\"0.01\", expect_size=\"27720704\"] \n  18 -> 19 [size =\"27720704\"]\n  19 [size=\"101556907\", alpha=\"0.06\", expect_size=\"30467072\"] \n  19 -> 20 [size =\"30467072\"]\n  20 [size=\"148384427\", alpha=\"0.12\", expect_size=\"44515328\"] \n  20 -> 21 [size =\"44515328\"]\n  21 [size=\"23261867\", alpha=\"0.18\", expect_size=\"6978560\"] \n  21 -> 22 [size =\"6978560\"]\n  22 [size=\"25866240\", alpha=\"0.01\", expect_size=\"7759872\"] \n  22 -> 23 [size =\"7759872\"]\n  23 [size=\"59914240\", alpha=\"0.05\", expect_size=\"17974272\"] \n  23 -> 24 [size =\"17974272\"]\n  24 [size=\"120166400\", alpha=\"0.13\", expect_size=\"36049920\"] \n  24 -> 25 [size =\"36049920\"]\n  25 [size=\"45875200\", alpha=\"0.02\", expect_size=\"13762560\"] \n  25 -> 26 [size =\"13762560\"]\n  26 [size=\"169946453\", alpha=\"0.03\", expect_size=\"50983936\"] \n  26 -> 27 [size =\"50983936\"]\n  27 [size=\"146179413\", alpha=\"0.08\", expect_size=\"43853824\"] \n  27 -> 28 [size =\"43853824\"]\n  28 [size=\"106632533\", alpha=\"0.18\", expect_size=\"31989760\"] \n  28 -> 29 [size =\"31989760\"]\n  29 [size=\"115223893\", alpha=\"0.14\", expect_size=\"34567168\"] \n  29 -> 30 [size =\"34567168\"]\n  30 [size=\"159307093\", alpha=\"0.14\", expect_size=\"47792128\"] \n  30 -> 31 [size =\"47792128\"]\n  31 [size=\"98594133\", alpha=\"0.06\", expect_size=\"29578240\"] \n  31 -> 32 [size =\"29578240\"]\n  32 [size=\"83606187\", alpha=\"0.01\", expect_size=\"25081856\"] \n  32 -> 33 [size =\"25081856\"]\n  33 [size=\"92887040\", alpha=\"0.18\", expect_size=\"27866112\"] \n  33 -> 34 [size =\"27866112\"]\n  34 [size=\"130461013\", alpha=\"0.05\", expect_size=\"39138304\"] \n  34 -> 35 [size =\"39138304\"]\n  35 [size=\"79168853\", alpha=\"0.10\", expect_size=\"23750656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59781120\", alpha=\"0.14\", expect_size=\"17934336\"] \n  1 -> 24 [size =\"17934336\"]\n  1 -> 28 [size =\"17934336\"]\n  1 -> 29 [size =\"17934336\"]\n  1 -> 30 [size =\"17934336\"]\n  1 -> 35 [size =\"17934336\"]\n  2 [size=\"150016000\", alpha=\"0.20\", expect_size=\"45004800\"] \n  2 -> 24 [size =\"45004800\"]\n  2 -> 29 [size =\"45004800\"]\n  2 -> 30 [size =\"45004800\"]\n  2 -> 31 [size =\"45004800\"]\n  3 [size=\"95143253\", alpha=\"0.04\", expect_size=\"28542976\"] \n  3 -> 24 [size =\"28542976\"]\n  3 -> 25 [size =\"28542976\"]\n  3 -> 30 [size =\"28542976\"]\n  3 -> 35 [size =\"28542976\"]\n  4 [size=\"140854613\", alpha=\"0.17\", expect_size=\"42256384\"] \n  4 -> 24 [size =\"42256384\"]\n  4 -> 30 [size =\"42256384\"]\n  4 -> 32 [size =\"42256384\"]\n  5 [size=\"167543467\", alpha=\"0.02\", expect_size=\"50263040\"] \n  5 -> 34 [size =\"50263040\"]\n  6 [size=\"117602987\", alpha=\"0.17\", expect_size=\"35280896\"] \n  6 -> 24 [size =\"35280896\"]\n  6 -> 29 [size =\"35280896\"]\n  6 -> 31 [size =\"35280896\"]\n  6 -> 32 [size =\"35280896\"]\n  6 -> 34 [size =\"35280896\"]\n  7 [size=\"164321280\", alpha=\"0.02\", expect_size=\"49296384\"] \n  7 -> 24 [size =\"49296384\"]\n  7 -> 30 [size =\"49296384\"]\n  7 -> 31 [size =\"49296384\"]\n  7 -> 32 [size =\"49296384\"]\n  7 -> 34 [size =\"49296384\"]\n  7 -> 35 [size =\"49296384\"]\n  8 [size=\"107134293\", alpha=\"0.06\", expect_size=\"32140288\"] \n  8 -> 30 [size =\"32140288\"]\n  8 -> 32 [size =\"32140288\"]\n  8 -> 33 [size =\"32140288\"]\n  8 -> 35 [size =\"32140288\"]\n  9 [size=\"66529280\", alpha=\"0.17\", expect_size=\"19958784\"] \n  9 -> 26 [size =\"19958784\"]\n  9 -> 28 [size =\"19958784\"]\n  9 -> 29 [size =\"19958784\"]\n  9 -> 32 [size =\"19958784\"]\n  10 [size=\"22306133\", alpha=\"0.05\", expect_size=\"6691840\"] \n  10 -> 26 [size =\"6691840\"]\n  10 -> 28 [size =\"6691840\"]\n  10 -> 33 [size =\"6691840\"]\n  11 [size=\"102782293\", alpha=\"0.19\", expect_size=\"30834688\"] \n  11 -> 35 [size =\"30834688\"]\n  12 [size=\"57702400\", alpha=\"0.04\", expect_size=\"17310720\"] \n  12 -> 25 [size =\"17310720\"]\n  12 -> 27 [size =\"17310720\"]\n  12 -> 30 [size =\"17310720\"]\n  12 -> 35 [size =\"17310720\"]\n  13 [size=\"56517973\", alpha=\"0.08\", expect_size=\"16955392\"] \n  13 -> 25 [size =\"16955392\"]\n  13 -> 33 [size =\"16955392\"]\n  14 [size=\"84206933\", alpha=\"0.12\", expect_size=\"25262080\"] \n  14 -> 24 [size =\"25262080\"]\n  14 -> 25 [size =\"25262080\"]\n  14 -> 27 [size =\"25262080\"]\n  14 -> 30 [size =\"25262080\"]\n  14 -> 35 [size =\"25262080\"]\n  15 [size=\"57029973\", alpha=\"0.11\", expect_size=\"17108992\"] \n  15 -> 26 [size =\"17108992\"]\n  15 -> 28 [size =\"17108992\"]\n  15 -> 29 [size =\"17108992\"]\n  16 [size=\"75103573\", alpha=\"0.03\", expect_size=\"22531072\"] \n  16 -> 34 [size =\"22531072\"]\n  17 [size=\"53230933\", alpha=\"0.03\", expect_size=\"15969280\"] \n  17 -> 24 [size =\"15969280\"]\n  17 -> 30 [size =\"15969280\"]\n  17 -> 32 [size =\"15969280\"]\n  18 [size=\"72744960\", alpha=\"0.07\", expect_size=\"21823488\"] \n  18 -> 26 [size =\"21823488\"]\n  18 -> 29 [size =\"21823488\"]\n  18 -> 30 [size =\"21823488\"]\n  18 -> 31 [size =\"21823488\"]\n  19 [size=\"123733333\", alpha=\"0.09\", expect_size=\"37120000\"] \n  19 -> 24 [size =\"37120000\"]\n  19 -> 25 [size =\"37120000\"]\n  19 -> 29 [size =\"37120000\"]\n  19 -> 31 [size =\"37120000\"]\n  19 -> 35 [size =\"37120000\"]\n  20 [size=\"101034667\", alpha=\"0.09\", expect_size=\"30310400\"] \n  20 -> 24 [size =\"30310400\"]\n  20 -> 30 [size =\"30310400\"]\n  20 -> 31 [size =\"30310400\"]\n  20 -> 33 [size =\"30310400\"]\n  20 -> 34 [size =\"30310400\"]\n  20 -> 35 [size =\"30310400\"]\n  21 [size=\"136639147\", alpha=\"0.13\", expect_size=\"40991744\"] \n  21 -> 30 [size =\"40991744\"]\n  21 -> 31 [size =\"40991744\"]\n  21 -> 32 [size =\"40991744\"]\n  21 -> 33 [size =\"40991744\"]\n  21 -> 34 [size =\"40991744\"]\n  21 -> 35 [size =\"40991744\"]\n  22 [size=\"132529493\", alpha=\"0.14\", expect_size=\"39758848\"] \n  22 -> 24 [size =\"39758848\"]\n  22 -> 26 [size =\"39758848\"]\n  22 -> 30 [size =\"39758848\"]\n  22 -> 34 [size =\"39758848\"]\n  22 -> 35 [size =\"39758848\"]\n  23 [size=\"165270187\", alpha=\"0.06\", expect_size=\"49581056\"] \n  23 -> 24 [size =\"49581056\"]\n  23 -> 27 [size =\"49581056\"]\n  23 -> 30 [size =\"49581056\"]\n  23 -> 35 [size =\"49581056\"]\n  23 -> 35 [size =\"49581056\"]\n  24 [size=\"70287360\", alpha=\"0.12\", expect_size=\"21086208\"] \n  25 [size=\"164010667\", alpha=\"0.18\", expect_size=\"49203200\"] \n  26 [size=\"94402560\", alpha=\"0.17\", expect_size=\"28320768\"] \n  27 [size=\"115452587\", alpha=\"0.15\", expect_size=\"34635776\"] \n  28 [size=\"142974293\", alpha=\"0.03\", expect_size=\"42892288\"] \n  29 [size=\"41943040\", alpha=\"0.18\", expect_size=\"12582912\"] \n  30 [size=\"116551680\", alpha=\"0.14\", expect_size=\"34965504\"] \n  31 [size=\"26716160\", alpha=\"0.00\", expect_size=\"8014848\"] \n  32 [size=\"129317547\", alpha=\"0.12\", expect_size=\"38795264\"] \n  33 [size=\"85039787\", alpha=\"0.09\", expect_size=\"25511936\"] \n  34 [size=\"128832853\", alpha=\"0.14\", expect_size=\"38649856\"] \n  35 [size=\"69505707\", alpha=\"0.04\", expect_size=\"20851712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57210880\", alpha=\"0.12\", expect_size=\"22884352\"] \n  1 -> 19 [size =\"22884352\"]\n  1 -> 21 [size =\"22884352\"]\n  1 -> 22 [size =\"22884352\"]\n  1 -> 26 [size =\"22884352\"]\n  1 -> 29 [size =\"22884352\"]\n  1 -> 30 [size =\"22884352\"]\n  1 -> 31 [size =\"22884352\"]\n  1 -> 32 [size =\"22884352\"]\n  2 [size=\"105548800\", alpha=\"0.02\", expect_size=\"42219520\"] \n  2 -> 23 [size =\"42219520\"]\n  2 -> 25 [size =\"42219520\"]\n  2 -> 26 [size =\"42219520\"]\n  2 -> 30 [size =\"42219520\"]\n  2 -> 31 [size =\"42219520\"]\n  2 -> 33 [size =\"42219520\"]\n  2 -> 35 [size =\"42219520\"]\n  3 [size=\"84328960\", alpha=\"0.14\", expect_size=\"33731584\"] \n  3 -> 23 [size =\"33731584\"]\n  3 -> 30 [size =\"33731584\"]\n  3 -> 32 [size =\"33731584\"]\n  3 -> 34 [size =\"33731584\"]\n  4 [size=\"25704960\", alpha=\"0.19\", expect_size=\"10281984\"] \n  4 -> 21 [size =\"10281984\"]\n  4 -> 22 [size =\"10281984\"]\n  4 -> 24 [size =\"10281984\"]\n  4 -> 30 [size =\"10281984\"]\n  4 -> 32 [size =\"10281984\"]\n  4 -> 35 [size =\"10281984\"]\n  5 [size=\"64465920\", alpha=\"0.20\", expect_size=\"25786368\"] \n  5 -> 21 [size =\"25786368\"]\n  5 -> 22 [size =\"25786368\"]\n  5 -> 30 [size =\"25786368\"]\n  5 -> 32 [size =\"25786368\"]\n  5 -> 35 [size =\"25786368\"]\n  6 [size=\"91266560\", alpha=\"0.04\", expect_size=\"36506624\"] \n  6 -> 20 [size =\"36506624\"]\n  6 -> 21 [size =\"36506624\"]\n  6 -> 22 [size =\"36506624\"]\n  6 -> 26 [size =\"36506624\"]\n  6 -> 27 [size =\"36506624\"]\n  6 -> 29 [size =\"36506624\"]\n  6 -> 30 [size =\"36506624\"]\n  6 -> 31 [size =\"36506624\"]\n  6 -> 32 [size =\"36506624\"]\n  6 -> 35 [size =\"36506624\"]\n  7 [size=\"21954560\", alpha=\"0.11\", expect_size=\"8781824\"] \n  7 -> 21 [size =\"8781824\"]\n  7 -> 21 [size =\"8781824\"]\n  7 -> 32 [size =\"8781824\"]\n  7 -> 35 [size =\"8781824\"]\n  8 [size=\"49446400\", alpha=\"0.16\", expect_size=\"19778560\"] \n  8 -> 21 [size =\"19778560\"]\n  8 -> 22 [size =\"19778560\"]\n  8 -> 24 [size =\"19778560\"]\n  8 -> 26 [size =\"19778560\"]\n  8 -> 30 [size =\"19778560\"]\n  8 -> 35 [size =\"19778560\"]\n  9 [size=\"98769920\", alpha=\"0.11\", expect_size=\"39507968\"] \n  9 -> 24 [size =\"39507968\"]\n  9 -> 29 [size =\"39507968\"]\n  9 -> 30 [size =\"39507968\"]\n  10 [size=\"90017280\", alpha=\"0.13\", expect_size=\"36006912\"] \n  10 -> 22 [size =\"36006912\"]\n  10 -> 24 [size =\"36006912\"]\n  10 -> 29 [size =\"36006912\"]\n  10 -> 32 [size =\"36006912\"]\n  10 -> 34 [size =\"36006912\"]\n  11 [size=\"129707520\", alpha=\"0.10\", expect_size=\"51883008\"] \n  11 -> 20 [size =\"51883008\"]\n  11 -> 22 [size =\"51883008\"]\n  11 -> 29 [size =\"51883008\"]\n  11 -> 32 [size =\"51883008\"]\n  11 -> 35 [size =\"51883008\"]\n  12 [size=\"80163840\", alpha=\"0.09\", expect_size=\"32065536\"] \n  12 -> 21 [size =\"32065536\"]\n  12 -> 22 [size =\"32065536\"]\n  12 -> 26 [size =\"32065536\"]\n  12 -> 29 [size =\"32065536\"]\n  12 -> 31 [size =\"32065536\"]\n  12 -> 35 [size =\"32065536\"]\n  13 [size=\"89712640\", alpha=\"0.07\", expect_size=\"35885056\"] \n  13 -> 20 [size =\"35885056\"]\n  13 -> 21 [size =\"35885056\"]\n  13 -> 22 [size =\"35885056\"]\n  13 -> 30 [size =\"35885056\"]\n  13 -> 31 [size =\"35885056\"]\n  13 -> 32 [size =\"35885056\"]\n  14 [size=\"53537280\", alpha=\"0.17\", expect_size=\"21414912\"] \n  14 -> 19 [size =\"21414912\"]\n  14 -> 26 [size =\"21414912\"]\n  14 -> 30 [size =\"21414912\"]\n  15 [size=\"45173760\", alpha=\"0.04\", expect_size=\"18069504\"] \n  15 -> 19 [size =\"18069504\"]\n  15 -> 21 [size =\"18069504\"]\n  15 -> 22 [size =\"18069504\"]\n  15 -> 26 [size =\"18069504\"]\n  15 -> 28 [size =\"18069504\"]\n  15 -> 29 [size =\"18069504\"]\n  15 -> 30 [size =\"18069504\"]\n  15 -> 34 [size =\"18069504\"]\n  16 [size=\"42401280\", alpha=\"0.14\", expect_size=\"16960512\"] \n  16 -> 21 [size =\"16960512\"]\n  16 -> 22 [size =\"16960512\"]\n  16 -> 24 [size =\"16960512\"]\n  16 -> 26 [size =\"16960512\"]\n  16 -> 29 [size =\"16960512\"]\n  17 [size=\"64002560\", alpha=\"0.17\", expect_size=\"25601024\"] \n  17 -> 21 [size =\"25601024\"]\n  17 -> 24 [size =\"25601024\"]\n  17 -> 26 [size =\"25601024\"]\n  17 -> 31 [size =\"25601024\"]\n  17 -> 34 [size =\"25601024\"]\n  18 [size=\"126336000\", alpha=\"0.10\", expect_size=\"50534400\"] \n  18 -> 21 [size =\"50534400\"]\n  18 -> 24 [size =\"50534400\"]\n  18 -> 29 [size =\"50534400\"]\n  18 -> 30 [size =\"50534400\"]\n  18 -> 32 [size =\"50534400\"]\n  18 -> 34 [size =\"50534400\"]\n  19 [size=\"100605440\", alpha=\"0.20\", expect_size=\"40242176\"] \n  20 [size=\"46376960\", alpha=\"0.04\", expect_size=\"18550784\"] \n  21 [size=\"120499200\", alpha=\"0.15\", expect_size=\"48199680\"] \n  22 [size=\"63498240\", alpha=\"0.02\", expect_size=\"25399296\"] \n  23 [size=\"119426560\", alpha=\"0.01\", expect_size=\"47770624\"] \n  24 [size=\"40693760\", alpha=\"0.02\", expect_size=\"16277504\"] \n  25 [size=\"21386240\", alpha=\"0.12\", expect_size=\"8554496\"] \n  26 [size=\"47191040\", alpha=\"0.15\", expect_size=\"18876416\"] \n  27 [size=\"127820800\", alpha=\"0.19\", expect_size=\"51128320\"] \n  28 [size=\"108375040\", alpha=\"0.10\", expect_size=\"43350016\"] \n  29 [size=\"46950400\", alpha=\"0.15\", expect_size=\"18780160\"] \n  30 [size=\"45683200\", alpha=\"0.14\", expect_size=\"18273280\"] \n  31 [size=\"66672640\", alpha=\"0.12\", expect_size=\"26669056\"] \n  32 [size=\"36055040\", alpha=\"0.01\", expect_size=\"14422016\"] \n  33 [size=\"46274560\", alpha=\"0.04\", expect_size=\"18509824\"] \n  34 [size=\"50593280\", alpha=\"0.13\", expect_size=\"20237312\"] \n  35 [size=\"61603840\", alpha=\"0.08\", expect_size=\"24641536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102830080\", alpha=\"0.09\", expect_size=\"51415040\"] \n  1 -> 26 [size =\"51415040\"]\n  1 -> 27 [size =\"51415040\"]\n  1 -> 28 [size =\"51415040\"]\n  1 -> 29 [size =\"51415040\"]\n  1 -> 30 [size =\"51415040\"]\n  1 -> 31 [size =\"51415040\"]\n  1 -> 33 [size =\"51415040\"]\n  2 [size=\"78880768\", alpha=\"0.13\", expect_size=\"39440384\"] \n  2 -> 27 [size =\"39440384\"]\n  2 -> 30 [size =\"39440384\"]\n  2 -> 33 [size =\"39440384\"]\n  3 [size=\"77899776\", alpha=\"0.04\", expect_size=\"38949888\"] \n  3 -> 27 [size =\"38949888\"]\n  3 -> 30 [size =\"38949888\"]\n  3 -> 34 [size =\"38949888\"]\n  4 [size=\"51101696\", alpha=\"0.01\", expect_size=\"25550848\"] \n  4 -> 26 [size =\"25550848\"]\n  4 -> 27 [size =\"25550848\"]\n  4 -> 30 [size =\"25550848\"]\n  4 -> 31 [size =\"25550848\"]\n  4 -> 32 [size =\"25550848\"]\n  4 -> 33 [size =\"25550848\"]\n  4 -> 34 [size =\"25550848\"]\n  5 [size=\"97179648\", alpha=\"0.07\", expect_size=\"48589824\"] \n  5 -> 26 [size =\"48589824\"]\n  5 -> 27 [size =\"48589824\"]\n  5 -> 29 [size =\"48589824\"]\n  5 -> 30 [size =\"48589824\"]\n  5 -> 31 [size =\"48589824\"]\n  5 -> 32 [size =\"48589824\"]\n  6 [size=\"28557312\", alpha=\"0.10\", expect_size=\"14278656\"] \n  6 -> 27 [size =\"14278656\"]\n  6 -> 29 [size =\"14278656\"]\n  6 -> 31 [size =\"14278656\"]\n  6 -> 32 [size =\"14278656\"]\n  6 -> 33 [size =\"14278656\"]\n  7 [size=\"78483456\", alpha=\"0.19\", expect_size=\"39241728\"] \n  7 -> 27 [size =\"39241728\"]\n  7 -> 28 [size =\"39241728\"]\n  7 -> 29 [size =\"39241728\"]\n  7 -> 30 [size =\"39241728\"]\n  7 -> 31 [size =\"39241728\"]\n  8 [size=\"15349760\", alpha=\"0.15\", expect_size=\"7674880\"] \n  8 -> 26 [size =\"7674880\"]\n  8 -> 28 [size =\"7674880\"]\n  8 -> 30 [size =\"7674880\"]\n  8 -> 30 [size =\"7674880\"]\n  8 -> 34 [size =\"7674880\"]\n  9 [size=\"71587840\", alpha=\"0.14\", expect_size=\"35793920\"] \n  9 -> 26 [size =\"35793920\"]\n  9 -> 27 [size =\"35793920\"]\n  9 -> 28 [size =\"35793920\"]\n  9 -> 33 [size =\"35793920\"]\n  10 [size=\"37093376\", alpha=\"0.10\", expect_size=\"18546688\"] \n  10 -> 26 [size =\"18546688\"]\n  10 -> 28 [size =\"18546688\"]\n  10 -> 30 [size =\"18546688\"]\n  10 -> 32 [size =\"18546688\"]\n  10 -> 33 [size =\"18546688\"]\n  11 [size=\"52488192\", alpha=\"0.01\", expect_size=\"26244096\"] \n  11 -> 27 [size =\"26244096\"]\n  11 -> 28 [size =\"26244096\"]\n  11 -> 31 [size =\"26244096\"]\n  11 -> 33 [size =\"26244096\"]\n  11 -> 34 [size =\"26244096\"]\n  12 [size=\"94820352\", alpha=\"0.05\", expect_size=\"47410176\"] \n  12 -> 26 [size =\"47410176\"]\n  12 -> 27 [size =\"47410176\"]\n  12 -> 28 [size =\"47410176\"]\n  12 -> 31 [size =\"47410176\"]\n  12 -> 32 [size =\"47410176\"]\n  12 -> 34 [size =\"47410176\"]\n  13 [size=\"63807488\", alpha=\"0.05\", expect_size=\"31903744\"] \n  13 -> 27 [size =\"31903744\"]\n  13 -> 28 [size =\"31903744\"]\n  13 -> 30 [size =\"31903744\"]\n  13 -> 32 [size =\"31903744\"]\n  13 -> 35 [size =\"31903744\"]\n  14 [size=\"83861504\", alpha=\"0.01\", expect_size=\"41930752\"] \n  14 -> 26 [size =\"41930752\"]\n  14 -> 31 [size =\"41930752\"]\n  14 -> 33 [size =\"41930752\"]\n  15 [size=\"86937600\", alpha=\"0.17\", expect_size=\"43468800\"] \n  15 -> 27 [size =\"43468800\"]\n  15 -> 28 [size =\"43468800\"]\n  15 -> 30 [size =\"43468800\"]\n  15 -> 31 [size =\"43468800\"]\n  15 -> 33 [size =\"43468800\"]\n  15 -> 34 [size =\"43468800\"]\n  16 [size=\"24584192\", alpha=\"0.04\", expect_size=\"12292096\"] \n  16 -> 29 [size =\"12292096\"]\n  16 -> 30 [size =\"12292096\"]\n  16 -> 31 [size =\"12292096\"]\n  16 -> 32 [size =\"12292096\"]\n  16 -> 33 [size =\"12292096\"]\n  17 [size=\"72323072\", alpha=\"0.09\", expect_size=\"36161536\"] \n  17 -> 30 [size =\"36161536\"]\n  17 -> 30 [size =\"36161536\"]\n  17 -> 31 [size =\"36161536\"]\n  17 -> 33 [size =\"36161536\"]\n  17 -> 34 [size =\"36161536\"]\n  18 [size=\"65941504\", alpha=\"0.01\", expect_size=\"32970752\"] \n  18 -> 27 [size =\"32970752\"]\n  18 -> 30 [size =\"32970752\"]\n  18 -> 31 [size =\"32970752\"]\n  19 [size=\"41203712\", alpha=\"0.19\", expect_size=\"20601856\"] \n  19 -> 26 [size =\"20601856\"]\n  19 -> 27 [size =\"20601856\"]\n  19 -> 28 [size =\"20601856\"]\n  19 -> 30 [size =\"20601856\"]\n  19 -> 32 [size =\"20601856\"]\n  20 [size=\"14921728\", alpha=\"0.07\", expect_size=\"7460864\"] \n  20 -> 26 [size =\"7460864\"]\n  20 -> 27 [size =\"7460864\"]\n  20 -> 28 [size =\"7460864\"]\n  20 -> 30 [size =\"7460864\"]\n  20 -> 31 [size =\"7460864\"]\n  20 -> 32 [size =\"7460864\"]\n  21 [size=\"64434176\", alpha=\"0.15\", expect_size=\"32217088\"] \n  21 -> 27 [size =\"32217088\"]\n  21 -> 28 [size =\"32217088\"]\n  21 -> 29 [size =\"32217088\"]\n  22 [size=\"69277696\", alpha=\"0.17\", expect_size=\"34638848\"] \n  23 [size=\"90812416\", alpha=\"0.14\", expect_size=\"45406208\"] \n  24 [size=\"20320256\", alpha=\"0.19\", expect_size=\"10160128\"] \n  24 -> 26 [size =\"10160128\"]\n  24 -> 27 [size =\"10160128\"]\n  24 -> 31 [size =\"10160128\"]\n  24 -> 32 [size =\"10160128\"]\n  25 [size=\"25593856\", alpha=\"0.03\", expect_size=\"12796928\"] \n  25 -> 26 [size =\"12796928\"]\n  25 -> 30 [size =\"12796928\"]\n  25 -> 33 [size =\"12796928\"]\n  25 -> 34 [size =\"12796928\"]\n  26 [size=\"11765760\", alpha=\"0.10\", expect_size=\"5882880\"] \n  27 [size=\"30633984\", alpha=\"0.12\", expect_size=\"15316992\"] \n  28 [size=\"73551872\", alpha=\"0.15\", expect_size=\"36775936\"] \n  29 [size=\"78475264\", alpha=\"0.11\", expect_size=\"39237632\"] \n  30 [size=\"73431040\", alpha=\"0.12\", expect_size=\"36715520\"] \n  31 [size=\"13033472\", alpha=\"0.03\", expect_size=\"6516736\"] \n  32 [size=\"84000768\", alpha=\"0.11\", expect_size=\"42000384\"] \n  33 [size=\"71612416\", alpha=\"0.10\", expect_size=\"35806208\"] \n  34 [size=\"43282432\", alpha=\"0.05\", expect_size=\"21641216\"] \n  35 [size=\"39628800\", alpha=\"0.17\", expect_size=\"19814400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55538347\", alpha=\"0.20\", expect_size=\"16661504\"] \n  1 -> 2 [size =\"16661504\"]\n  2 [size=\"116708693\", alpha=\"0.03\", expect_size=\"35012608\"] \n  2 -> 3 [size =\"35012608\"]\n  3 [size=\"126634667\", alpha=\"0.08\", expect_size=\"37990400\"] \n  3 -> 4 [size =\"37990400\"]\n  4 [size=\"43202560\", alpha=\"0.04\", expect_size=\"12960768\"] \n  4 -> 5 [size =\"12960768\"]\n  5 [size=\"156009813\", alpha=\"0.04\", expect_size=\"46802944\"] \n  5 -> 6 [size =\"46802944\"]\n  6 [size=\"153006080\", alpha=\"0.13\", expect_size=\"45901824\"] \n  6 -> 7 [size =\"45901824\"]\n  7 [size=\"116008960\", alpha=\"0.13\", expect_size=\"34802688\"] \n  7 -> 8 [size =\"34802688\"]\n  8 [size=\"65856853\", alpha=\"0.06\", expect_size=\"19757056\"] \n  8 -> 9 [size =\"19757056\"]\n  9 [size=\"91136000\", alpha=\"0.17\", expect_size=\"27340800\"] \n  9 -> 10 [size =\"27340800\"]\n  10 [size=\"78209707\", alpha=\"0.05\", expect_size=\"23462912\"] \n  10 -> 11 [size =\"23462912\"]\n  11 [size=\"63825920\", alpha=\"0.16\", expect_size=\"19147776\"] \n  11 -> 12 [size =\"19147776\"]\n  12 [size=\"62044160\", alpha=\"0.14\", expect_size=\"18613248\"] \n  12 -> 13 [size =\"18613248\"]\n  13 [size=\"84995413\", alpha=\"0.08\", expect_size=\"25498624\"] \n  13 -> 14 [size =\"25498624\"]\n  14 [size=\"146377387\", alpha=\"0.04\", expect_size=\"43913216\"] \n  14 -> 15 [size =\"43913216\"]\n  15 [size=\"24207360\", alpha=\"0.12\", expect_size=\"7262208\"] \n  15 -> 16 [size =\"7262208\"]\n  16 [size=\"53422080\", alpha=\"0.05\", expect_size=\"16026624\"] \n  16 -> 17 [size =\"16026624\"]\n  17 [size=\"158412800\", alpha=\"0.01\", expect_size=\"47523840\"] \n  17 -> 18 [size =\"47523840\"]\n  18 [size=\"99546453\", alpha=\"0.02\", expect_size=\"29863936\"] \n  18 -> 19 [size =\"29863936\"]\n  19 [size=\"149964800\", alpha=\"0.19\", expect_size=\"44989440\"] \n  19 -> 20 [size =\"44989440\"]\n  20 [size=\"129003520\", alpha=\"0.06\", expect_size=\"38701056\"] \n  20 -> 21 [size =\"38701056\"]\n  21 [size=\"166338560\", alpha=\"0.17\", expect_size=\"49901568\"] \n  21 -> 22 [size =\"49901568\"]\n  22 [size=\"135314773\", alpha=\"0.02\", expect_size=\"40594432\"] \n  22 -> 23 [size =\"40594432\"]\n  23 [size=\"84343467\", alpha=\"0.20\", expect_size=\"25303040\"] \n  23 -> 24 [size =\"25303040\"]\n  24 [size=\"150978560\", alpha=\"0.01\", expect_size=\"45293568\"] \n  24 -> 25 [size =\"45293568\"]\n  25 [size=\"25357653\", alpha=\"0.20\", expect_size=\"7607296\"] \n  25 -> 26 [size =\"7607296\"]\n  26 [size=\"121497600\", alpha=\"0.16\", expect_size=\"36449280\"] \n  26 -> 27 [size =\"36449280\"]\n  27 [size=\"160808960\", alpha=\"0.05\", expect_size=\"48242688\"] \n  27 -> 28 [size =\"48242688\"]\n  28 [size=\"167628800\", alpha=\"0.20\", expect_size=\"50288640\"] \n  28 -> 29 [size =\"50288640\"]\n  29 [size=\"28241920\", alpha=\"0.04\", expect_size=\"8472576\"] \n  29 -> 30 [size =\"8472576\"]\n  30 [size=\"21288960\", alpha=\"0.16\", expect_size=\"6386688\"] \n  30 -> 31 [size =\"6386688\"]\n  31 [size=\"67249493\", alpha=\"0.14\", expect_size=\"20174848\"] \n  31 -> 32 [size =\"20174848\"]\n  32 [size=\"46899200\", alpha=\"0.17\", expect_size=\"14069760\"] \n  32 -> 33 [size =\"14069760\"]\n  33 [size=\"59477333\", alpha=\"0.09\", expect_size=\"17843200\"] \n  33 -> 34 [size =\"17843200\"]\n  34 [size=\"56855893\", alpha=\"0.18\", expect_size=\"17056768\"] \n  34 -> 35 [size =\"17056768\"]\n  35 [size=\"64764587\", alpha=\"0.07\", expect_size=\"19429376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26599424\", alpha=\"0.13\", expect_size=\"13299712\"] \n  1 -> 11 [size =\"13299712\"]\n  1 -> 12 [size =\"13299712\"]\n  1 -> 13 [size =\"13299712\"]\n  1 -> 17 [size =\"13299712\"]\n  1 -> 18 [size =\"13299712\"]\n  1 -> 19 [size =\"13299712\"]\n  1 -> 21 [size =\"13299712\"]\n  1 -> 22 [size =\"13299712\"]\n  1 -> 23 [size =\"13299712\"]\n  2 [size=\"95768576\", alpha=\"0.17\", expect_size=\"47884288\"] \n  2 -> 13 [size =\"47884288\"]\n  2 -> 15 [size =\"47884288\"]\n  2 -> 17 [size =\"47884288\"]\n  2 -> 19 [size =\"47884288\"]\n  2 -> 21 [size =\"47884288\"]\n  2 -> 22 [size =\"47884288\"]\n  2 -> 23 [size =\"47884288\"]\n  3 [size=\"76558336\", alpha=\"0.05\", expect_size=\"38279168\"] \n  3 -> 11 [size =\"38279168\"]\n  3 -> 12 [size =\"38279168\"]\n  3 -> 13 [size =\"38279168\"]\n  3 -> 15 [size =\"38279168\"]\n  3 -> 16 [size =\"38279168\"]\n  3 -> 18 [size =\"38279168\"]\n  3 -> 19 [size =\"38279168\"]\n  3 -> 23 [size =\"38279168\"]\n  4 [size=\"68317184\", alpha=\"0.18\", expect_size=\"34158592\"] \n  4 -> 12 [size =\"34158592\"]\n  4 -> 13 [size =\"34158592\"]\n  4 -> 14 [size =\"34158592\"]\n  4 -> 22 [size =\"34158592\"]\n  5 [size=\"78981120\", alpha=\"0.05\", expect_size=\"39490560\"] \n  5 -> 12 [size =\"39490560\"]\n  5 -> 16 [size =\"39490560\"]\n  5 -> 17 [size =\"39490560\"]\n  5 -> 20 [size =\"39490560\"]\n  5 -> 21 [size =\"39490560\"]\n  5 -> 22 [size =\"39490560\"]\n  6 [size=\"33509376\", alpha=\"0.18\", expect_size=\"16754688\"] \n  6 -> 17 [size =\"16754688\"]\n  6 -> 18 [size =\"16754688\"]\n  7 [size=\"46043136\", alpha=\"0.16\", expect_size=\"23021568\"] \n  7 -> 11 [size =\"23021568\"]\n  7 -> 16 [size =\"23021568\"]\n  7 -> 18 [size =\"23021568\"]\n  7 -> 23 [size =\"23021568\"]\n  8 [size=\"64550912\", alpha=\"0.02\", expect_size=\"32275456\"] \n  8 -> 11 [size =\"32275456\"]\n  8 -> 14 [size =\"32275456\"]\n  8 -> 16 [size =\"32275456\"]\n  8 -> 19 [size =\"32275456\"]\n  8 -> 21 [size =\"32275456\"]\n  8 -> 23 [size =\"32275456\"]\n  9 [size=\"39272448\", alpha=\"0.09\", expect_size=\"19636224\"] \n  9 -> 15 [size =\"19636224\"]\n  9 -> 16 [size =\"19636224\"]\n  9 -> 17 [size =\"19636224\"]\n  9 -> 19 [size =\"19636224\"]\n  9 -> 21 [size =\"19636224\"]\n  9 -> 23 [size =\"19636224\"]\n  10 [size=\"26437632\", alpha=\"0.08\", expect_size=\"13218816\"] \n  10 -> 11 [size =\"13218816\"]\n  10 -> 12 [size =\"13218816\"]\n  10 -> 15 [size =\"13218816\"]\n  10 -> 17 [size =\"13218816\"]\n  10 -> 18 [size =\"13218816\"]\n  10 -> 19 [size =\"13218816\"]\n  10 -> 22 [size =\"13218816\"]\n  11 [size=\"81952768\", alpha=\"0.05\", expect_size=\"40976384\"] \n  11 -> 24 [size =\"40976384\"]\n  11 -> 25 [size =\"40976384\"]\n  11 -> 26 [size =\"40976384\"]\n  11 -> 27 [size =\"40976384\"]\n  11 -> 29 [size =\"40976384\"]\n  11 -> 33 [size =\"40976384\"]\n  11 -> 34 [size =\"40976384\"]\n  11 -> 35 [size =\"40976384\"]\n  12 [size=\"50954240\", alpha=\"0.10\", expect_size=\"25477120\"] \n  12 -> 27 [size =\"25477120\"]\n  12 -> 28 [size =\"25477120\"]\n  12 -> 29 [size =\"25477120\"]\n  12 -> 31 [size =\"25477120\"]\n  13 [size=\"35033088\", alpha=\"0.15\", expect_size=\"17516544\"] \n  13 -> 25 [size =\"17516544\"]\n  13 -> 27 [size =\"17516544\"]\n  13 -> 28 [size =\"17516544\"]\n  14 [size=\"59670528\", alpha=\"0.08\", expect_size=\"29835264\"] \n  14 -> 27 [size =\"29835264\"]\n  14 -> 29 [size =\"29835264\"]\n  14 -> 31 [size =\"29835264\"]\n  14 -> 33 [size =\"29835264\"]\n  15 [size=\"51154944\", alpha=\"0.02\", expect_size=\"25577472\"] \n  15 -> 26 [size =\"25577472\"]\n  15 -> 29 [size =\"25577472\"]\n  15 -> 33 [size =\"25577472\"]\n  15 -> 35 [size =\"25577472\"]\n  16 [size=\"72775680\", alpha=\"0.08\", expect_size=\"36387840\"] \n  16 -> 24 [size =\"36387840\"]\n  16 -> 35 [size =\"36387840\"]\n  17 [size=\"61038592\", alpha=\"0.05\", expect_size=\"30519296\"] \n  17 -> 26 [size =\"30519296\"]\n  17 -> 28 [size =\"30519296\"]\n  17 -> 30 [size =\"30519296\"]\n  17 -> 31 [size =\"30519296\"]\n  18 [size=\"42694656\", alpha=\"0.19\", expect_size=\"21347328\"] \n  18 -> 24 [size =\"21347328\"]\n  18 -> 27 [size =\"21347328\"]\n  18 -> 29 [size =\"21347328\"]\n  18 -> 30 [size =\"21347328\"]\n  18 -> 31 [size =\"21347328\"]\n  18 -> 32 [size =\"21347328\"]\n  18 -> 34 [size =\"21347328\"]\n  19 [size=\"50292736\", alpha=\"0.18\", expect_size=\"25146368\"] \n  19 -> 24 [size =\"25146368\"]\n  19 -> 27 [size =\"25146368\"]\n  19 -> 28 [size =\"25146368\"]\n  20 [size=\"90404864\", alpha=\"0.17\", expect_size=\"45202432\"] \n  20 -> 26 [size =\"45202432\"]\n  20 -> 28 [size =\"45202432\"]\n  20 -> 29 [size =\"45202432\"]\n  20 -> 32 [size =\"45202432\"]\n  20 -> 34 [size =\"45202432\"]\n  21 [size=\"35346432\", alpha=\"0.19\", expect_size=\"17673216\"] \n  21 -> 25 [size =\"17673216\"]\n  21 -> 26 [size =\"17673216\"]\n  21 -> 27 [size =\"17673216\"]\n  21 -> 28 [size =\"17673216\"]\n  21 -> 29 [size =\"17673216\"]\n  21 -> 31 [size =\"17673216\"]\n  21 -> 34 [size =\"17673216\"]\n  22 [size=\"57595904\", alpha=\"0.19\", expect_size=\"28797952\"] \n  22 -> 24 [size =\"28797952\"]\n  22 -> 26 [size =\"28797952\"]\n  22 -> 27 [size =\"28797952\"]\n  22 -> 28 [size =\"28797952\"]\n  22 -> 30 [size =\"28797952\"]\n  22 -> 34 [size =\"28797952\"]\n  23 [size=\"104806400\", alpha=\"0.14\", expect_size=\"52403200\"] \n  23 -> 24 [size =\"52403200\"]\n  23 -> 28 [size =\"52403200\"]\n  23 -> 30 [size =\"52403200\"]\n  23 -> 34 [size =\"52403200\"]\n  24 [size=\"79833088\", alpha=\"0.00\", expect_size=\"39916544\"] \n  25 [size=\"20940800\", alpha=\"0.01\", expect_size=\"10470400\"] \n  26 [size=\"28856320\", alpha=\"0.07\", expect_size=\"14428160\"] \n  27 [size=\"68505600\", alpha=\"0.01\", expect_size=\"34252800\"] \n  28 [size=\"93650944\", alpha=\"0.06\", expect_size=\"46825472\"] \n  29 [size=\"91127808\", alpha=\"0.17\", expect_size=\"45563904\"] \n  30 [size=\"80998400\", alpha=\"0.11\", expect_size=\"40499200\"] \n  31 [size=\"65433600\", alpha=\"0.01\", expect_size=\"32716800\"] \n  32 [size=\"60549120\", alpha=\"0.19\", expect_size=\"30274560\"] \n  33 [size=\"57255936\", alpha=\"0.03\", expect_size=\"28627968\"] \n  34 [size=\"27256832\", alpha=\"0.16\", expect_size=\"13628416\"] \n  35 [size=\"28383232\", alpha=\"0.19\", expect_size=\"14191616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92102656\", alpha=\"0.02\", expect_size=\"46051328\"] \n  1 -> 6 [size =\"46051328\"]\n  1 -> 7 [size =\"46051328\"]\n  1 -> 8 [size =\"46051328\"]\n  1 -> 9 [size =\"46051328\"]\n  2 [size=\"49129472\", alpha=\"0.08\", expect_size=\"24564736\"] \n  2 -> 6 [size =\"24564736\"]\n  2 -> 7 [size =\"24564736\"]\n  3 [size=\"70647808\", alpha=\"0.15\", expect_size=\"35323904\"] \n  3 -> 6 [size =\"35323904\"]\n  4 [size=\"21893120\", alpha=\"0.00\", expect_size=\"10946560\"] \n  4 -> 7 [size =\"10946560\"]\n  5 [size=\"55154688\", alpha=\"0.11\", expect_size=\"27577344\"] \n  6 [size=\"59297792\", alpha=\"0.20\", expect_size=\"29648896\"] \n  6 -> 10 [size =\"29648896\"]\n  6 -> 11 [size =\"29648896\"]\n  7 [size=\"27248640\", alpha=\"0.01\", expect_size=\"13624320\"] \n  7 -> 13 [size =\"13624320\"]\n  8 [size=\"93384704\", alpha=\"0.07\", expect_size=\"46692352\"] \n  8 -> 12 [size =\"46692352\"]\n  8 -> 14 [size =\"46692352\"]\n  9 [size=\"63983616\", alpha=\"0.11\", expect_size=\"31991808\"] \n  10 [size=\"74100736\", alpha=\"0.18\", expect_size=\"37050368\"] \n  11 [size=\"20809728\", alpha=\"0.13\", expect_size=\"10404864\"] \n  11 -> 15 [size =\"10404864\"]\n  11 -> 16 [size =\"10404864\"]\n  11 -> 17 [size =\"10404864\"]\n  11 -> 18 [size =\"10404864\"]\n  12 [size=\"28057600\", alpha=\"0.08\", expect_size=\"14028800\"] \n  12 -> 16 [size =\"14028800\"]\n  12 -> 17 [size =\"14028800\"]\n  13 [size=\"64268288\", alpha=\"0.09\", expect_size=\"32134144\"] \n  13 -> 15 [size =\"32134144\"]\n  14 [size=\"40396800\", alpha=\"0.02\", expect_size=\"20198400\"] \n  14 -> 16 [size =\"20198400\"]\n  14 -> 17 [size =\"20198400\"]\n  15 [size=\"41183232\", alpha=\"0.07\", expect_size=\"20591616\"] \n  15 -> 21 [size =\"20591616\"]\n  16 [size=\"91604992\", alpha=\"0.10\", expect_size=\"45802496\"] \n  16 -> 19 [size =\"45802496\"]\n  17 [size=\"90163200\", alpha=\"0.02\", expect_size=\"45081600\"] \n  17 -> 19 [size =\"45081600\"]\n  17 -> 22 [size =\"45081600\"]\n  18 [size=\"93521920\", alpha=\"0.09\", expect_size=\"46760960\"] \n  18 -> 19 [size =\"46760960\"]\n  18 -> 20 [size =\"46760960\"]\n  18 -> 21 [size =\"46760960\"]\n  18 -> 22 [size =\"46760960\"]\n  19 [size=\"32292864\", alpha=\"0.02\", expect_size=\"16146432\"] \n  19 -> 24 [size =\"16146432\"]\n  20 [size=\"82900992\", alpha=\"0.17\", expect_size=\"41450496\"] \n  20 -> 23 [size =\"41450496\"]\n  20 -> 25 [size =\"41450496\"]\n  21 [size=\"72366080\", alpha=\"0.10\", expect_size=\"36183040\"] \n  21 -> 23 [size =\"36183040\"]\n  21 -> 25 [size =\"36183040\"]\n  22 [size=\"38361088\", alpha=\"0.10\", expect_size=\"19180544\"] \n  22 -> 25 [size =\"19180544\"]\n  23 [size=\"74293248\", alpha=\"0.04\", expect_size=\"37146624\"] \n  23 -> 26 [size =\"37146624\"]\n  23 -> 27 [size =\"37146624\"]\n  23 -> 28 [size =\"37146624\"]\n  24 [size=\"22237184\", alpha=\"0.20\", expect_size=\"11118592\"] \n  25 [size=\"32067584\", alpha=\"0.05\", expect_size=\"16033792\"] \n  25 -> 28 [size =\"16033792\"]\n  26 [size=\"65210368\", alpha=\"0.01\", expect_size=\"32605184\"] \n  26 -> 30 [size =\"32605184\"]\n  26 -> 32 [size =\"32605184\"]\n  27 [size=\"19025920\", alpha=\"0.00\", expect_size=\"9512960\"] \n  27 -> 29 [size =\"9512960\"]\n  27 -> 30 [size =\"9512960\"]\n  28 [size=\"29175808\", alpha=\"0.17\", expect_size=\"14587904\"] \n  28 -> 31 [size =\"14587904\"]\n  28 -> 32 [size =\"14587904\"]\n  29 [size=\"70905856\", alpha=\"0.06\", expect_size=\"35452928\"] \n  30 [size=\"78940160\", alpha=\"0.07\", expect_size=\"39470080\"] \n  30 -> 34 [size =\"39470080\"]\n  31 [size=\"64804864\", alpha=\"0.11\", expect_size=\"32402432\"] \n  31 -> 33 [size =\"32402432\"]\n  31 -> 35 [size =\"32402432\"]\n  32 [size=\"15753216\", alpha=\"0.19\", expect_size=\"7876608\"] \n  32 -> 35 [size =\"7876608\"]\n  33 [size=\"64794624\", alpha=\"0.18\", expect_size=\"32397312\"] \n  34 [size=\"83353600\", alpha=\"0.03\", expect_size=\"41676800\"] \n  35 [size=\"82837504\", alpha=\"0.15\", expect_size=\"41418752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100579328\", alpha=\"0.11\", expect_size=\"50289664\"] \n  1 -> 14 [size =\"50289664\"]\n  1 -> 16 [size =\"50289664\"]\n  1 -> 18 [size =\"50289664\"]\n  1 -> 21 [size =\"50289664\"]\n  1 -> 22 [size =\"50289664\"]\n  1 -> 23 [size =\"50289664\"]\n  1 -> 25 [size =\"50289664\"]\n  2 [size=\"43665408\", alpha=\"0.01\", expect_size=\"21832704\"] \n  2 -> 14 [size =\"21832704\"]\n  2 -> 15 [size =\"21832704\"]\n  2 -> 16 [size =\"21832704\"]\n  2 -> 18 [size =\"21832704\"]\n  2 -> 20 [size =\"21832704\"]\n  2 -> 21 [size =\"21832704\"]\n  2 -> 22 [size =\"21832704\"]\n  2 -> 23 [size =\"21832704\"]\n  2 -> 25 [size =\"21832704\"]\n  3 [size=\"61718528\", alpha=\"0.08\", expect_size=\"30859264\"] \n  3 -> 17 [size =\"30859264\"]\n  3 -> 18 [size =\"30859264\"]\n  3 -> 19 [size =\"30859264\"]\n  3 -> 20 [size =\"30859264\"]\n  3 -> 21 [size =\"30859264\"]\n  3 -> 23 [size =\"30859264\"]\n  4 [size=\"31467520\", alpha=\"0.17\", expect_size=\"15733760\"] \n  4 -> 17 [size =\"15733760\"]\n  4 -> 18 [size =\"15733760\"]\n  4 -> 21 [size =\"15733760\"]\n  4 -> 22 [size =\"15733760\"]\n  4 -> 23 [size =\"15733760\"]\n  4 -> 25 [size =\"15733760\"]\n  5 [size=\"16975872\", alpha=\"0.06\", expect_size=\"8487936\"] \n  5 -> 14 [size =\"8487936\"]\n  5 -> 17 [size =\"8487936\"]\n  5 -> 18 [size =\"8487936\"]\n  5 -> 19 [size =\"8487936\"]\n  5 -> 21 [size =\"8487936\"]\n  5 -> 23 [size =\"8487936\"]\n  5 -> 25 [size =\"8487936\"]\n  6 [size=\"12509184\", alpha=\"0.03\", expect_size=\"6254592\"] \n  6 -> 14 [size =\"6254592\"]\n  6 -> 17 [size =\"6254592\"]\n  6 -> 18 [size =\"6254592\"]\n  6 -> 19 [size =\"6254592\"]\n  6 -> 20 [size =\"6254592\"]\n  6 -> 23 [size =\"6254592\"]\n  6 -> 25 [size =\"6254592\"]\n  7 [size=\"19761152\", alpha=\"0.06\", expect_size=\"9880576\"] \n  7 -> 15 [size =\"9880576\"]\n  7 -> 16 [size =\"9880576\"]\n  7 -> 17 [size =\"9880576\"]\n  7 -> 18 [size =\"9880576\"]\n  7 -> 19 [size =\"9880576\"]\n  7 -> 22 [size =\"9880576\"]\n  7 -> 23 [size =\"9880576\"]\n  7 -> 24 [size =\"9880576\"]\n  7 -> 25 [size =\"9880576\"]\n  8 [size=\"57262080\", alpha=\"0.08\", expect_size=\"28631040\"] \n  8 -> 14 [size =\"28631040\"]\n  8 -> 15 [size =\"28631040\"]\n  8 -> 17 [size =\"28631040\"]\n  8 -> 22 [size =\"28631040\"]\n  8 -> 23 [size =\"28631040\"]\n  8 -> 25 [size =\"28631040\"]\n  9 [size=\"19066880\", alpha=\"0.14\", expect_size=\"9533440\"] \n  9 -> 14 [size =\"9533440\"]\n  9 -> 19 [size =\"9533440\"]\n  9 -> 20 [size =\"9533440\"]\n  9 -> 21 [size =\"9533440\"]\n  9 -> 22 [size =\"9533440\"]\n  10 [size=\"70529024\", alpha=\"0.06\", expect_size=\"35264512\"] \n  10 -> 14 [size =\"35264512\"]\n  10 -> 16 [size =\"35264512\"]\n  10 -> 21 [size =\"35264512\"]\n  10 -> 23 [size =\"35264512\"]\n  11 [size=\"98619392\", alpha=\"0.18\", expect_size=\"49309696\"] \n  11 -> 14 [size =\"49309696\"]\n  11 -> 16 [size =\"49309696\"]\n  11 -> 18 [size =\"49309696\"]\n  11 -> 19 [size =\"49309696\"]\n  11 -> 21 [size =\"49309696\"]\n  11 -> 23 [size =\"49309696\"]\n  12 [size=\"56465408\", alpha=\"0.07\", expect_size=\"28232704\"] \n  12 -> 14 [size =\"28232704\"]\n  12 -> 18 [size =\"28232704\"]\n  12 -> 19 [size =\"28232704\"]\n  12 -> 25 [size =\"28232704\"]\n  13 [size=\"61321216\", alpha=\"0.12\", expect_size=\"30660608\"] \n  13 -> 16 [size =\"30660608\"]\n  13 -> 17 [size =\"30660608\"]\n  13 -> 18 [size =\"30660608\"]\n  13 -> 19 [size =\"30660608\"]\n  13 -> 22 [size =\"30660608\"]\n  14 [size=\"99692544\", alpha=\"0.09\", expect_size=\"49846272\"] \n  14 -> 26 [size =\"49846272\"]\n  14 -> 27 [size =\"49846272\"]\n  14 -> 28 [size =\"49846272\"]\n  14 -> 31 [size =\"49846272\"]\n  14 -> 34 [size =\"49846272\"]\n  14 -> 35 [size =\"49846272\"]\n  15 [size=\"87791616\", alpha=\"0.08\", expect_size=\"43895808\"] \n  15 -> 26 [size =\"43895808\"]\n  15 -> 27 [size =\"43895808\"]\n  15 -> 34 [size =\"43895808\"]\n  15 -> 35 [size =\"43895808\"]\n  16 [size=\"20197376\", alpha=\"0.18\", expect_size=\"10098688\"] \n  16 -> 26 [size =\"10098688\"]\n  16 -> 27 [size =\"10098688\"]\n  16 -> 28 [size =\"10098688\"]\n  16 -> 31 [size =\"10098688\"]\n  16 -> 33 [size =\"10098688\"]\n  16 -> 35 [size =\"10098688\"]\n  17 [size=\"35547136\", alpha=\"0.11\", expect_size=\"17773568\"] \n  17 -> 26 [size =\"17773568\"]\n  17 -> 30 [size =\"17773568\"]\n  17 -> 31 [size =\"17773568\"]\n  18 [size=\"62720000\", alpha=\"0.14\", expect_size=\"31360000\"] \n  18 -> 28 [size =\"31360000\"]\n  18 -> 29 [size =\"31360000\"]\n  18 -> 31 [size =\"31360000\"]\n  19 [size=\"102156288\", alpha=\"0.00\", expect_size=\"51078144\"] \n  19 -> 27 [size =\"51078144\"]\n  19 -> 31 [size =\"51078144\"]\n  19 -> 31 [size =\"51078144\"]\n  19 -> 34 [size =\"51078144\"]\n  20 [size=\"71921664\", alpha=\"0.05\", expect_size=\"35960832\"] \n  20 -> 26 [size =\"35960832\"]\n  20 -> 27 [size =\"35960832\"]\n  20 -> 31 [size =\"35960832\"]\n  20 -> 34 [size =\"35960832\"]\n  21 [size=\"102578176\", alpha=\"0.10\", expect_size=\"51289088\"] \n  21 -> 32 [size =\"51289088\"]\n  21 -> 35 [size =\"51289088\"]\n  22 [size=\"91463680\", alpha=\"0.01\", expect_size=\"45731840\"] \n  22 -> 27 [size =\"45731840\"]\n  22 -> 29 [size =\"45731840\"]\n  22 -> 30 [size =\"45731840\"]\n  22 -> 31 [size =\"45731840\"]\n  22 -> 33 [size =\"45731840\"]\n  22 -> 35 [size =\"45731840\"]\n  23 [size=\"28209152\", alpha=\"0.04\", expect_size=\"14104576\"] \n  23 -> 27 [size =\"14104576\"]\n  23 -> 29 [size =\"14104576\"]\n  23 -> 31 [size =\"14104576\"]\n  23 -> 31 [size =\"14104576\"]\n  24 [size=\"85463040\", alpha=\"0.10\", expect_size=\"42731520\"] \n  24 -> 27 [size =\"42731520\"]\n  24 -> 29 [size =\"42731520\"]\n  25 [size=\"34465792\", alpha=\"0.18\", expect_size=\"17232896\"] \n  25 -> 26 [size =\"17232896\"]\n  25 -> 27 [size =\"17232896\"]\n  25 -> 31 [size =\"17232896\"]\n  25 -> 34 [size =\"17232896\"]\n  25 -> 35 [size =\"17232896\"]\n  26 [size=\"72292352\", alpha=\"0.07\", expect_size=\"36146176\"] \n  27 [size=\"62210048\", alpha=\"0.17\", expect_size=\"31105024\"] \n  28 [size=\"20848640\", alpha=\"0.18\", expect_size=\"10424320\"] \n  29 [size=\"86845440\", alpha=\"0.00\", expect_size=\"43422720\"] \n  30 [size=\"87345152\", alpha=\"0.15\", expect_size=\"43672576\"] \n  31 [size=\"18542592\", alpha=\"0.09\", expect_size=\"9271296\"] \n  32 [size=\"64905216\", alpha=\"0.12\", expect_size=\"32452608\"] \n  33 [size=\"70868992\", alpha=\"0.06\", expect_size=\"35434496\"] \n  34 [size=\"87670784\", alpha=\"0.19\", expect_size=\"43835392\"] \n  35 [size=\"41918464\", alpha=\"0.09\", expect_size=\"20959232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91240960\", alpha=\"0.16\", expect_size=\"36496384\"] \n  1 -> 5 [size =\"36496384\"]\n  1 -> 6 [size =\"36496384\"]\n  1 -> 7 [size =\"36496384\"]\n  2 [size=\"99276800\", alpha=\"0.19\", expect_size=\"39710720\"] \n  2 -> 7 [size =\"39710720\"]\n  3 [size=\"55267840\", alpha=\"0.06\", expect_size=\"22107136\"] \n  3 -> 5 [size =\"22107136\"]\n  3 -> 8 [size =\"22107136\"]\n  4 [size=\"49999360\", alpha=\"0.06\", expect_size=\"19999744\"] \n  4 -> 5 [size =\"19999744\"]\n  4 -> 8 [size =\"19999744\"]\n  4 -> 9 [size =\"19999744\"]\n  5 [size=\"108416000\", alpha=\"0.11\", expect_size=\"43366400\"] \n  5 -> 10 [size =\"43366400\"]\n  6 [size=\"16734720\", alpha=\"0.12\", expect_size=\"6693888\"] \n  6 -> 11 [size =\"6693888\"]\n  7 [size=\"111946240\", alpha=\"0.20\", expect_size=\"44778496\"] \n  7 -> 10 [size =\"44778496\"]\n  8 [size=\"49367040\", alpha=\"0.03\", expect_size=\"19746816\"] \n  8 -> 11 [size =\"19746816\"]\n  8 -> 12 [size =\"19746816\"]\n  8 -> 13 [size =\"19746816\"]\n  9 [size=\"45908480\", alpha=\"0.15\", expect_size=\"18363392\"] \n  9 -> 12 [size =\"18363392\"]\n  9 -> 13 [size =\"18363392\"]\n  10 [size=\"36979200\", alpha=\"0.06\", expect_size=\"14791680\"] \n  10 -> 14 [size =\"14791680\"]\n  10 -> 15 [size =\"14791680\"]\n  10 -> 16 [size =\"14791680\"]\n  10 -> 18 [size =\"14791680\"]\n  11 [size=\"41205760\", alpha=\"0.00\", expect_size=\"16482304\"] \n  11 -> 15 [size =\"16482304\"]\n  11 -> 17 [size =\"16482304\"]\n  11 -> 18 [size =\"16482304\"]\n  12 [size=\"16834560\", alpha=\"0.01\", expect_size=\"6733824\"] \n  12 -> 17 [size =\"6733824\"]\n  13 [size=\"129262080\", alpha=\"0.10\", expect_size=\"51704832\"] \n  13 -> 15 [size =\"51704832\"]\n  13 -> 17 [size =\"51704832\"]\n  14 [size=\"46661120\", alpha=\"0.08\", expect_size=\"18664448\"] \n  14 -> 20 [size =\"18664448\"]\n  15 [size=\"83220480\", alpha=\"0.12\", expect_size=\"33288192\"] \n  15 -> 19 [size =\"33288192\"]\n  15 -> 23 [size =\"33288192\"]\n  16 [size=\"32056320\", alpha=\"0.11\", expect_size=\"12822528\"] \n  16 -> 21 [size =\"12822528\"]\n  16 -> 22 [size =\"12822528\"]\n  16 -> 23 [size =\"12822528\"]\n  17 [size=\"101191680\", alpha=\"0.11\", expect_size=\"40476672\"] \n  17 -> 20 [size =\"40476672\"]\n  17 -> 21 [size =\"40476672\"]\n  17 -> 22 [size =\"40476672\"]\n  17 -> 23 [size =\"40476672\"]\n  18 [size=\"98624000\", alpha=\"0.18\", expect_size=\"39449600\"] \n  18 -> 20 [size =\"39449600\"]\n  18 -> 21 [size =\"39449600\"]\n  18 -> 22 [size =\"39449600\"]\n  19 [size=\"116495360\", alpha=\"0.13\", expect_size=\"46598144\"] \n  19 -> 25 [size =\"46598144\"]\n  20 [size=\"86138880\", alpha=\"0.18\", expect_size=\"34455552\"] \n  20 -> 24 [size =\"34455552\"]\n  20 -> 27 [size =\"34455552\"]\n  21 [size=\"122938880\", alpha=\"0.17\", expect_size=\"49175552\"] \n  21 -> 24 [size =\"49175552\"]\n  21 -> 25 [size =\"49175552\"]\n  22 [size=\"125214720\", alpha=\"0.10\", expect_size=\"50085888\"] \n  22 -> 24 [size =\"50085888\"]\n  23 [size=\"129774080\", alpha=\"0.10\", expect_size=\"51909632\"] \n  23 -> 26 [size =\"51909632\"]\n  24 [size=\"73203200\", alpha=\"0.16\", expect_size=\"29281280\"] \n  24 -> 29 [size =\"29281280\"]\n  24 -> 30 [size =\"29281280\"]\n  25 [size=\"122926080\", alpha=\"0.19\", expect_size=\"49170432\"] \n  25 -> 28 [size =\"49170432\"]\n  25 -> 29 [size =\"49170432\"]\n  26 [size=\"78200320\", alpha=\"0.02\", expect_size=\"31280128\"] \n  26 -> 28 [size =\"31280128\"]\n  26 -> 32 [size =\"31280128\"]\n  27 [size=\"27210240\", alpha=\"0.02\", expect_size=\"10884096\"] \n  27 -> 28 [size =\"10884096\"]\n  27 -> 29 [size =\"10884096\"]\n  27 -> 30 [size =\"10884096\"]\n  27 -> 31 [size =\"10884096\"]\n  28 [size=\"91054080\", alpha=\"0.08\", expect_size=\"36421632\"] \n  29 [size=\"79329280\", alpha=\"0.20\", expect_size=\"31731712\"] \n  30 [size=\"39526400\", alpha=\"0.15\", expect_size=\"15810560\"] \n  31 [size=\"30005760\", alpha=\"0.16\", expect_size=\"12002304\"] \n  31 -> 33 [size =\"12002304\"]\n  31 -> 34 [size =\"12002304\"]\n  31 -> 35 [size =\"12002304\"]\n  32 [size=\"128906240\", alpha=\"0.17\", expect_size=\"51562496\"] \n  32 -> 33 [size =\"51562496\"]\n  32 -> 34 [size =\"51562496\"]\n  32 -> 35 [size =\"51562496\"]\n  33 [size=\"68503040\", alpha=\"0.18\", expect_size=\"27401216\"] \n  34 [size=\"126888960\", alpha=\"0.04\", expect_size=\"50755584\"] \n  35 [size=\"105024000\", alpha=\"0.02\", expect_size=\"42009600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49379840\", alpha=\"0.15\", expect_size=\"19751936\"] \n  1 -> 2 [size =\"19751936\"]\n  1 -> 3 [size =\"19751936\"]\n  2 [size=\"119956480\", alpha=\"0.15\", expect_size=\"47982592\"] \n  2 -> 4 [size =\"47982592\"]\n  2 -> 5 [size =\"47982592\"]\n  3 [size=\"115046400\", alpha=\"0.09\", expect_size=\"46018560\"] \n  4 [size=\"23856640\", alpha=\"0.05\", expect_size=\"9542656\"] \n  5 [size=\"83760640\", alpha=\"0.01\", expect_size=\"33504256\"] \n  5 -> 6 [size =\"33504256\"]\n  6 [size=\"17269760\", alpha=\"0.13\", expect_size=\"6907904\"] \n  6 -> 7 [size =\"6907904\"]\n  6 -> 8 [size =\"6907904\"]\n  7 [size=\"49512960\", alpha=\"0.09\", expect_size=\"19805184\"] \n  8 [size=\"114903040\", alpha=\"0.00\", expect_size=\"45961216\"] \n  8 -> 9 [size =\"45961216\"]\n  9 [size=\"96115200\", alpha=\"0.14\", expect_size=\"38446080\"] \n  9 -> 10 [size =\"38446080\"]\n  9 -> 11 [size =\"38446080\"]\n  10 [size=\"18429440\", alpha=\"0.06\", expect_size=\"7371776\"] \n  11 [size=\"130841600\", alpha=\"0.16\", expect_size=\"52336640\"] \n  11 -> 12 [size =\"52336640\"]\n  11 -> 13 [size =\"52336640\"]\n  12 [size=\"104110080\", alpha=\"0.07\", expect_size=\"41644032\"] \n  13 [size=\"75550720\", alpha=\"0.10\", expect_size=\"30220288\"] \n  13 -> 14 [size =\"30220288\"]\n  14 [size=\"126947840\", alpha=\"0.01\", expect_size=\"50779136\"] \n  14 -> 15 [size =\"50779136\"]\n  15 [size=\"36431360\", alpha=\"0.17\", expect_size=\"14572544\"] \n  15 -> 16 [size =\"14572544\"]\n  15 -> 17 [size =\"14572544\"]\n  16 [size=\"39406080\", alpha=\"0.08\", expect_size=\"15762432\"] \n  16 -> 18 [size =\"15762432\"]\n  16 -> 19 [size =\"15762432\"]\n  17 [size=\"116231680\", alpha=\"0.07\", expect_size=\"46492672\"] \n  18 [size=\"52981760\", alpha=\"0.03\", expect_size=\"21192704\"] \n  18 -> 21 [size =\"21192704\"]\n  19 [size=\"55413760\", alpha=\"0.16\", expect_size=\"22165504\"] \n  19 -> 20 [size =\"22165504\"]\n  20 [size=\"18117120\", alpha=\"0.15\", expect_size=\"7246848\"] \n  21 [size=\"55590400\", alpha=\"0.01\", expect_size=\"22236160\"] \n  21 -> 22 [size =\"22236160\"]\n  21 -> 23 [size =\"22236160\"]\n  22 [size=\"30796800\", alpha=\"0.04\", expect_size=\"12318720\"] \n  23 [size=\"70282240\", alpha=\"0.05\", expect_size=\"28112896\"] \n  23 -> 24 [size =\"28112896\"]\n  23 -> 25 [size =\"28112896\"]\n  24 [size=\"129054720\", alpha=\"0.08\", expect_size=\"51621888\"] \n  24 -> 27 [size =\"51621888\"]\n  25 [size=\"17177600\", alpha=\"0.02\", expect_size=\"6871040\"] \n  25 -> 26 [size =\"6871040\"]\n  26 [size=\"115819520\", alpha=\"0.18\", expect_size=\"46327808\"] \n  27 [size=\"46446080\", alpha=\"0.19\", expect_size=\"18578432\"] \n  27 -> 28 [size =\"18578432\"]\n  27 -> 29 [size =\"18578432\"]\n  28 [size=\"89387520\", alpha=\"0.18\", expect_size=\"35755008\"] \n  29 [size=\"105646080\", alpha=\"0.11\", expect_size=\"42258432\"] \n  29 -> 30 [size =\"42258432\"]\n  30 [size=\"83509760\", alpha=\"0.04\", expect_size=\"33403904\"] \n  30 -> 31 [size =\"33403904\"]\n  31 [size=\"56847360\", alpha=\"0.18\", expect_size=\"22738944\"] \n  31 -> 32 [size =\"22738944\"]\n  31 -> 33 [size =\"22738944\"]\n  32 [size=\"61939200\", alpha=\"0.07\", expect_size=\"24775680\"] \n  32 -> 34 [size =\"24775680\"]\n  33 [size=\"87664640\", alpha=\"0.07\", expect_size=\"35065856\"] \n  33 -> 35 [size =\"35065856\"]\n  34 [size=\"118003200\", alpha=\"0.06\", expect_size=\"47201280\"] \n  35 [size=\"45739520\", alpha=\"0.09\", expect_size=\"18295808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73213440\", alpha=\"0.15\", expect_size=\"29285376\"] \n  1 -> 4 [size =\"29285376\"]\n  2 [size=\"55129600\", alpha=\"0.07\", expect_size=\"22051840\"] \n  2 -> 3 [size =\"22051840\"]\n  2 -> 4 [size =\"22051840\"]\n  3 [size=\"126929920\", alpha=\"0.19\", expect_size=\"50771968\"] \n  3 -> 5 [size =\"50771968\"]\n  4 [size=\"53073920\", alpha=\"0.17\", expect_size=\"21229568\"] \n  4 -> 6 [size =\"21229568\"]\n  5 [size=\"54986240\", alpha=\"0.04\", expect_size=\"21994496\"] \n  5 -> 7 [size =\"21994496\"]\n  6 [size=\"60810240\", alpha=\"0.12\", expect_size=\"24324096\"] \n  6 -> 7 [size =\"24324096\"]\n  7 [size=\"17006080\", alpha=\"0.08\", expect_size=\"6802432\"] \n  7 -> 8 [size =\"6802432\"]\n  8 [size=\"55370240\", alpha=\"0.16\", expect_size=\"22148096\"] \n  8 -> 9 [size =\"22148096\"]\n  8 -> 10 [size =\"22148096\"]\n  9 [size=\"17602560\", alpha=\"0.08\", expect_size=\"7041024\"] \n  9 -> 11 [size =\"7041024\"]\n  10 [size=\"67543040\", alpha=\"0.08\", expect_size=\"27017216\"] \n  11 [size=\"52638720\", alpha=\"0.12\", expect_size=\"21055488\"] \n  11 -> 12 [size =\"21055488\"]\n  12 [size=\"24944640\", alpha=\"0.13\", expect_size=\"9977856\"] \n  12 -> 13 [size =\"9977856\"]\n  13 [size=\"64437760\", alpha=\"0.07\", expect_size=\"25775104\"] \n  13 -> 14 [size =\"25775104\"]\n  14 [size=\"58480640\", alpha=\"0.04\", expect_size=\"23392256\"] \n  14 -> 15 [size =\"23392256\"]\n  14 -> 16 [size =\"23392256\"]\n  15 [size=\"38341120\", alpha=\"0.06\", expect_size=\"15336448\"] \n  16 [size=\"63769600\", alpha=\"0.04\", expect_size=\"25507840\"] \n  16 -> 17 [size =\"25507840\"]\n  17 [size=\"16089600\", alpha=\"0.05\", expect_size=\"6435840\"] \n  17 -> 18 [size =\"6435840\"]\n  17 -> 19 [size =\"6435840\"]\n  18 [size=\"65881600\", alpha=\"0.07\", expect_size=\"26352640\"] \n  19 [size=\"41658880\", alpha=\"0.18\", expect_size=\"16663552\"] \n  19 -> 20 [size =\"16663552\"]\n  20 [size=\"88279040\", alpha=\"0.17\", expect_size=\"35311616\"] \n  20 -> 21 [size =\"35311616\"]\n  20 -> 22 [size =\"35311616\"]\n  21 [size=\"19153920\", alpha=\"0.06\", expect_size=\"7661568\"] \n  21 -> 23 [size =\"7661568\"]\n  22 [size=\"89344000\", alpha=\"0.02\", expect_size=\"35737600\"] \n  22 -> 23 [size =\"35737600\"]\n  23 [size=\"49533440\", alpha=\"0.17\", expect_size=\"19813376\"] \n  23 -> 24 [size =\"19813376\"]\n  24 [size=\"91264000\", alpha=\"0.19\", expect_size=\"36505600\"] \n  24 -> 25 [size =\"36505600\"]\n  25 [size=\"115617280\", alpha=\"0.08\", expect_size=\"46246912\"] \n  25 -> 26 [size =\"46246912\"]\n  25 -> 27 [size =\"46246912\"]\n  26 [size=\"30259200\", alpha=\"0.06\", expect_size=\"12103680\"] \n  26 -> 28 [size =\"12103680\"]\n  27 [size=\"51412480\", alpha=\"0.04\", expect_size=\"20564992\"] \n  27 -> 28 [size =\"20564992\"]\n  28 [size=\"80271360\", alpha=\"0.09\", expect_size=\"32108544\"] \n  28 -> 29 [size =\"32108544\"]\n  28 -> 30 [size =\"32108544\"]\n  29 [size=\"120271360\", alpha=\"0.15\", expect_size=\"48108544\"] \n  29 -> 31 [size =\"48108544\"]\n  30 [size=\"107832320\", alpha=\"0.10\", expect_size=\"43132928\"] \n  30 -> 31 [size =\"43132928\"]\n  31 [size=\"88066560\", alpha=\"0.12\", expect_size=\"35226624\"] \n  31 -> 32 [size =\"35226624\"]\n  32 [size=\"121082880\", alpha=\"0.16\", expect_size=\"48433152\"] \n  32 -> 33 [size =\"48433152\"]\n  33 [size=\"130941440\", alpha=\"0.08\", expect_size=\"52376576\"] \n  33 -> 34 [size =\"52376576\"]\n  33 -> 35 [size =\"52376576\"]\n  34 [size=\"113500160\", alpha=\"0.09\", expect_size=\"45400064\"] \n  35 [size=\"108730880\", alpha=\"0.13\", expect_size=\"43492352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96934400\", alpha=\"0.14\", expect_size=\"38773760\"] \n  1 -> 5 [size =\"38773760\"]\n  1 -> 6 [size =\"38773760\"]\n  1 -> 7 [size =\"38773760\"]\n  1 -> 8 [size =\"38773760\"]\n  2 [size=\"62863360\", alpha=\"0.06\", expect_size=\"25145344\"] \n  2 -> 8 [size =\"25145344\"]\n  3 [size=\"40629760\", alpha=\"0.08\", expect_size=\"16251904\"] \n  3 -> 8 [size =\"16251904\"]\n  4 [size=\"19389440\", alpha=\"0.05\", expect_size=\"7755776\"] \n  4 -> 6 [size =\"7755776\"]\n  4 -> 8 [size =\"7755776\"]\n  5 [size=\"74048000\", alpha=\"0.05\", expect_size=\"29619200\"] \n  5 -> 9 [size =\"29619200\"]\n  5 -> 10 [size =\"29619200\"]\n  5 -> 11 [size =\"29619200\"]\n  5 -> 12 [size =\"29619200\"]\n  6 [size=\"50265600\", alpha=\"0.02\", expect_size=\"20106240\"] \n  6 -> 9 [size =\"20106240\"]\n  6 -> 10 [size =\"20106240\"]\n  6 -> 11 [size =\"20106240\"]\n  6 -> 12 [size =\"20106240\"]\n  6 -> 13 [size =\"20106240\"]\n  6 -> 14 [size =\"20106240\"]\n  7 [size=\"88046080\", alpha=\"0.03\", expect_size=\"35218432\"] \n  7 -> 10 [size =\"35218432\"]\n  7 -> 11 [size =\"35218432\"]\n  7 -> 12 [size =\"35218432\"]\n  7 -> 12 [size =\"35218432\"]\n  7 -> 13 [size =\"35218432\"]\n  8 [size=\"18073600\", alpha=\"0.12\", expect_size=\"7229440\"] \n  8 -> 10 [size =\"7229440\"]\n  8 -> 11 [size =\"7229440\"]\n  9 [size=\"102479360\", alpha=\"0.13\", expect_size=\"40991744\"] \n  9 -> 16 [size =\"40991744\"]\n  9 -> 17 [size =\"40991744\"]\n  9 -> 18 [size =\"40991744\"]\n  9 -> 19 [size =\"40991744\"]\n  10 [size=\"21795840\", alpha=\"0.19\", expect_size=\"8718336\"] \n  10 -> 15 [size =\"8718336\"]\n  10 -> 18 [size =\"8718336\"]\n  10 -> 18 [size =\"8718336\"]\n  11 [size=\"20712960\", alpha=\"0.06\", expect_size=\"8285184\"] \n  11 -> 15 [size =\"8285184\"]\n  11 -> 16 [size =\"8285184\"]\n  12 [size=\"102858240\", alpha=\"0.11\", expect_size=\"41143296\"] \n  12 -> 15 [size =\"41143296\"]\n  12 -> 16 [size =\"41143296\"]\n  12 -> 18 [size =\"41143296\"]\n  13 [size=\"20313600\", alpha=\"0.18\", expect_size=\"8125440\"] \n  13 -> 15 [size =\"8125440\"]\n  13 -> 16 [size =\"8125440\"]\n  13 -> 18 [size =\"8125440\"]\n  14 [size=\"66319360\", alpha=\"0.14\", expect_size=\"26527744\"] \n  14 -> 15 [size =\"26527744\"]\n  14 -> 16 [size =\"26527744\"]\n  14 -> 17 [size =\"26527744\"]\n  14 -> 19 [size =\"26527744\"]\n  15 [size=\"93667840\", alpha=\"0.19\", expect_size=\"37467136\"] \n  15 -> 21 [size =\"37467136\"]\n  16 [size=\"122549760\", alpha=\"0.08\", expect_size=\"49019904\"] \n  16 -> 20 [size =\"49019904\"]\n  17 [size=\"14136320\", alpha=\"0.08\", expect_size=\"5654528\"] \n  17 -> 20 [size =\"5654528\"]\n  17 -> 21 [size =\"5654528\"]\n  18 [size=\"34360320\", alpha=\"0.15\", expect_size=\"13744128\"] \n  18 -> 21 [size =\"13744128\"]\n  19 [size=\"107069440\", alpha=\"0.12\", expect_size=\"42827776\"] \n  19 -> 20 [size =\"42827776\"]\n  19 -> 21 [size =\"42827776\"]\n  20 [size=\"64578560\", alpha=\"0.13\", expect_size=\"25831424\"] \n  20 -> 22 [size =\"25831424\"]\n  20 -> 23 [size =\"25831424\"]\n  20 -> 24 [size =\"25831424\"]\n  20 -> 25 [size =\"25831424\"]\n  21 [size=\"57472000\", alpha=\"0.09\", expect_size=\"22988800\"] \n  21 -> 22 [size =\"22988800\"]\n  21 -> 23 [size =\"22988800\"]\n  21 -> 24 [size =\"22988800\"]\n  21 -> 25 [size =\"22988800\"]\n  22 [size=\"90841600\", alpha=\"0.13\", expect_size=\"36336640\"] \n  22 -> 26 [size =\"36336640\"]\n  22 -> 28 [size =\"36336640\"]\n  23 [size=\"36362240\", alpha=\"0.02\", expect_size=\"14544896\"] \n  23 -> 27 [size =\"14544896\"]\n  23 -> 28 [size =\"14544896\"]\n  24 [size=\"26664960\", alpha=\"0.12\", expect_size=\"10665984\"] \n  24 -> 28 [size =\"10665984\"]\n  25 [size=\"107742720\", alpha=\"0.12\", expect_size=\"43097088\"] \n  25 -> 26 [size =\"43097088\"]\n  25 -> 28 [size =\"43097088\"]\n  26 [size=\"102691840\", alpha=\"0.19\", expect_size=\"41076736\"] \n  26 -> 29 [size =\"41076736\"]\n  26 -> 30 [size =\"41076736\"]\n  27 [size=\"32340480\", alpha=\"0.18\", expect_size=\"12936192\"] \n  27 -> 29 [size =\"12936192\"]\n  27 -> 30 [size =\"12936192\"]\n  27 -> 31 [size =\"12936192\"]\n  28 [size=\"81779200\", alpha=\"0.18\", expect_size=\"32711680\"] \n  28 -> 29 [size =\"32711680\"]\n  28 -> 31 [size =\"32711680\"]\n  29 [size=\"52879360\", alpha=\"0.13\", expect_size=\"21151744\"] \n  29 -> 32 [size =\"21151744\"]\n  29 -> 34 [size =\"21151744\"]\n  29 -> 35 [size =\"21151744\"]\n  30 [size=\"123563520\", alpha=\"0.10\", expect_size=\"49425408\"] \n  30 -> 32 [size =\"49425408\"]\n  30 -> 33 [size =\"49425408\"]\n  30 -> 34 [size =\"49425408\"]\n  30 -> 35 [size =\"49425408\"]\n  31 [size=\"85194240\", alpha=\"0.08\", expect_size=\"34077696\"] \n  31 -> 32 [size =\"34077696\"]\n  31 -> 35 [size =\"34077696\"]\n  32 [size=\"21601280\", alpha=\"0.01\", expect_size=\"8640512\"] \n  33 [size=\"100503040\", alpha=\"0.16\", expect_size=\"40201216\"] \n  34 [size=\"113500160\", alpha=\"0.19\", expect_size=\"45400064\"] \n  35 [size=\"66872320\", alpha=\"0.16\", expect_size=\"26748928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101023744\", alpha=\"0.07\", expect_size=\"50511872\"] \n  1 -> 2 [size =\"50511872\"]\n  2 [size=\"90628096\", alpha=\"0.04\", expect_size=\"45314048\"] \n  2 -> 3 [size =\"45314048\"]\n  3 [size=\"30402560\", alpha=\"0.09\", expect_size=\"15201280\"] \n  3 -> 4 [size =\"15201280\"]\n  4 [size=\"64245760\", alpha=\"0.12\", expect_size=\"32122880\"] \n  4 -> 5 [size =\"32122880\"]\n  5 [size=\"39950336\", alpha=\"0.01\", expect_size=\"19975168\"] \n  5 -> 6 [size =\"19975168\"]\n  6 [size=\"48711680\", alpha=\"0.13\", expect_size=\"24355840\"] \n  6 -> 7 [size =\"24355840\"]\n  7 [size=\"18042880\", alpha=\"0.18\", expect_size=\"9021440\"] \n  7 -> 8 [size =\"9021440\"]\n  8 [size=\"56211456\", alpha=\"0.09\", expect_size=\"28105728\"] \n  8 -> 9 [size =\"28105728\"]\n  9 [size=\"27865088\", alpha=\"0.14\", expect_size=\"13932544\"] \n  9 -> 10 [size =\"13932544\"]\n  10 [size=\"50178048\", alpha=\"0.16\", expect_size=\"25089024\"] \n  10 -> 11 [size =\"25089024\"]\n  11 [size=\"86452224\", alpha=\"0.13\", expect_size=\"43226112\"] \n  11 -> 12 [size =\"43226112\"]\n  12 [size=\"23891968\", alpha=\"0.12\", expect_size=\"11945984\"] \n  12 -> 13 [size =\"11945984\"]\n  13 [size=\"44290048\", alpha=\"0.11\", expect_size=\"22145024\"] \n  13 -> 14 [size =\"22145024\"]\n  14 [size=\"85760000\", alpha=\"0.06\", expect_size=\"42880000\"] \n  14 -> 15 [size =\"42880000\"]\n  15 [size=\"47124480\", alpha=\"0.10\", expect_size=\"23562240\"] \n  15 -> 16 [size =\"23562240\"]\n  16 [size=\"49825792\", alpha=\"0.01\", expect_size=\"24912896\"] \n  16 -> 17 [size =\"24912896\"]\n  17 [size=\"16955392\", alpha=\"0.01\", expect_size=\"8477696\"] \n  17 -> 18 [size =\"8477696\"]\n  18 [size=\"104103936\", alpha=\"0.12\", expect_size=\"52051968\"] \n  18 -> 19 [size =\"52051968\"]\n  19 [size=\"51894272\", alpha=\"0.08\", expect_size=\"25947136\"] \n  19 -> 20 [size =\"25947136\"]\n  20 [size=\"25214976\", alpha=\"0.06\", expect_size=\"12607488\"] \n  20 -> 21 [size =\"12607488\"]\n  21 [size=\"101453824\", alpha=\"0.03\", expect_size=\"50726912\"] \n  21 -> 22 [size =\"50726912\"]\n  22 [size=\"68911104\", alpha=\"0.17\", expect_size=\"34455552\"] \n  22 -> 23 [size =\"34455552\"]\n  23 [size=\"31465472\", alpha=\"0.15\", expect_size=\"15732736\"] \n  23 -> 24 [size =\"15732736\"]\n  24 [size=\"85280768\", alpha=\"0.05\", expect_size=\"42640384\"] \n  24 -> 25 [size =\"42640384\"]\n  25 [size=\"21055488\", alpha=\"0.00\", expect_size=\"10527744\"] \n  25 -> 26 [size =\"10527744\"]\n  26 [size=\"66893824\", alpha=\"0.04\", expect_size=\"33446912\"] \n  26 -> 27 [size =\"33446912\"]\n  27 [size=\"69443584\", alpha=\"0.10\", expect_size=\"34721792\"] \n  27 -> 28 [size =\"34721792\"]\n  28 [size=\"74506240\", alpha=\"0.05\", expect_size=\"37253120\"] \n  28 -> 29 [size =\"37253120\"]\n  29 [size=\"34772992\", alpha=\"0.04\", expect_size=\"17386496\"] \n  29 -> 30 [size =\"17386496\"]\n  30 [size=\"72654848\", alpha=\"0.11\", expect_size=\"36327424\"] \n  30 -> 31 [size =\"36327424\"]\n  31 [size=\"100202496\", alpha=\"0.15\", expect_size=\"50101248\"] \n  31 -> 32 [size =\"50101248\"]\n  32 [size=\"19208192\", alpha=\"0.01\", expect_size=\"9604096\"] \n  32 -> 33 [size =\"9604096\"]\n  33 [size=\"98562048\", alpha=\"0.15\", expect_size=\"49281024\"] \n  33 -> 34 [size =\"49281024\"]\n  34 [size=\"75065344\", alpha=\"0.04\", expect_size=\"37532672\"] \n  34 -> 35 [size =\"37532672\"]\n  35 [size=\"96851968\", alpha=\"0.01\", expect_size=\"48425984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130467840\", alpha=\"0.18\", expect_size=\"39140352\"] \n  1 -> 5 [size =\"39140352\"]\n  1 -> 6 [size =\"39140352\"]\n  1 -> 8 [size =\"39140352\"]\n  2 [size=\"151275520\", alpha=\"0.09\", expect_size=\"45382656\"] \n  2 -> 7 [size =\"45382656\"]\n  2 -> 9 [size =\"45382656\"]\n  3 [size=\"139339093\", alpha=\"0.02\", expect_size=\"41801728\"] \n  3 -> 5 [size =\"41801728\"]\n  4 [size=\"167976960\", alpha=\"0.19\", expect_size=\"50393088\"] \n  4 -> 5 [size =\"50393088\"]\n  4 -> 9 [size =\"50393088\"]\n  5 [size=\"101328213\", alpha=\"0.12\", expect_size=\"30398464\"] \n  5 -> 11 [size =\"30398464\"]\n  5 -> 12 [size =\"30398464\"]\n  6 [size=\"55794347\", alpha=\"0.18\", expect_size=\"16738304\"] \n  7 [size=\"164898133\", alpha=\"0.18\", expect_size=\"49469440\"] \n  8 [size=\"166526293\", alpha=\"0.03\", expect_size=\"49957888\"] \n  8 -> 12 [size =\"49957888\"]\n  9 [size=\"103850667\", alpha=\"0.19\", expect_size=\"31155200\"] \n  9 -> 10 [size =\"31155200\"]\n  9 -> 11 [size =\"31155200\"]\n  9 -> 12 [size =\"31155200\"]\n  9 -> 13 [size =\"31155200\"]\n  10 [size=\"145489920\", alpha=\"0.03\", expect_size=\"43646976\"] \n  10 -> 14 [size =\"43646976\"]\n  10 -> 15 [size =\"43646976\"]\n  11 [size=\"143332693\", alpha=\"0.14\", expect_size=\"42999808\"] \n  11 -> 14 [size =\"42999808\"]\n  11 -> 16 [size =\"42999808\"]\n  12 [size=\"125788160\", alpha=\"0.15\", expect_size=\"37736448\"] \n  12 -> 15 [size =\"37736448\"]\n  12 -> 16 [size =\"37736448\"]\n  12 -> 17 [size =\"37736448\"]\n  13 [size=\"42642773\", alpha=\"0.16\", expect_size=\"12792832\"] \n  13 -> 14 [size =\"12792832\"]\n  13 -> 15 [size =\"12792832\"]\n  13 -> 18 [size =\"12792832\"]\n  14 [size=\"61020160\", alpha=\"0.03\", expect_size=\"18306048\"] \n  14 -> 19 [size =\"18306048\"]\n  14 -> 21 [size =\"18306048\"]\n  15 [size=\"49981440\", alpha=\"0.18\", expect_size=\"14994432\"] \n  15 -> 20 [size =\"14994432\"]\n  16 [size=\"143820800\", alpha=\"0.03\", expect_size=\"43146240\"] \n  16 -> 20 [size =\"43146240\"]\n  17 [size=\"125289813\", alpha=\"0.02\", expect_size=\"37586944\"] \n  17 -> 20 [size =\"37586944\"]\n  17 -> 22 [size =\"37586944\"]\n  18 [size=\"110755840\", alpha=\"0.12\", expect_size=\"33226752\"] \n  18 -> 22 [size =\"33226752\"]\n  18 -> 22 [size =\"33226752\"]\n  19 [size=\"136799573\", alpha=\"0.11\", expect_size=\"41039872\"] \n  19 -> 26 [size =\"41039872\"]\n  19 -> 27 [size =\"41039872\"]\n  20 [size=\"130355200\", alpha=\"0.05\", expect_size=\"39106560\"] \n  20 -> 24 [size =\"39106560\"]\n  21 [size=\"152381440\", alpha=\"0.12\", expect_size=\"45714432\"] \n  21 -> 23 [size =\"45714432\"]\n  21 -> 24 [size =\"45714432\"]\n  21 -> 27 [size =\"45714432\"]\n  22 [size=\"104560640\", alpha=\"0.17\", expect_size=\"31368192\"] \n  22 -> 24 [size =\"31368192\"]\n  22 -> 25 [size =\"31368192\"]\n  22 -> 26 [size =\"31368192\"]\n  22 -> 27 [size =\"31368192\"]\n  23 [size=\"62214827\", alpha=\"0.17\", expect_size=\"18664448\"] \n  23 -> 30 [size =\"18664448\"]\n  23 -> 31 [size =\"18664448\"]\n  24 [size=\"32621227\", alpha=\"0.16\", expect_size=\"9786368\"] \n  24 -> 30 [size =\"9786368\"]\n  25 [size=\"56060587\", alpha=\"0.06\", expect_size=\"16818176\"] \n  25 -> 29 [size =\"16818176\"]\n  25 -> 30 [size =\"16818176\"]\n  26 [size=\"39659520\", alpha=\"0.01\", expect_size=\"11897856\"] \n  26 -> 31 [size =\"11897856\"]\n  27 [size=\"62423040\", alpha=\"0.14\", expect_size=\"18726912\"] \n  27 -> 28 [size =\"18726912\"]\n  27 -> 29 [size =\"18726912\"]\n  27 -> 31 [size =\"18726912\"]\n  28 [size=\"75089920\", alpha=\"0.07\", expect_size=\"22526976\"] \n  28 -> 35 [size =\"22526976\"]\n  29 [size=\"170813440\", alpha=\"0.10\", expect_size=\"51244032\"] \n  29 -> 32 [size =\"51244032\"]\n  29 -> 35 [size =\"51244032\"]\n  30 [size=\"102659413\", alpha=\"0.10\", expect_size=\"30797824\"] \n  30 -> 33 [size =\"30797824\"]\n  30 -> 34 [size =\"30797824\"]\n  30 -> 35 [size =\"30797824\"]\n  31 [size=\"138635947\", alpha=\"0.06\", expect_size=\"41590784\"] \n  31 -> 32 [size =\"41590784\"]\n  32 [size=\"77161813\", alpha=\"0.15\", expect_size=\"23148544\"] \n  33 [size=\"52046507\", alpha=\"0.08\", expect_size=\"15613952\"] \n  34 [size=\"27859627\", alpha=\"0.06\", expect_size=\"8357888\"] \n  35 [size=\"155108693\", alpha=\"0.09\", expect_size=\"46532608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51338240\", alpha=\"0.08\", expect_size=\"20535296\"] \n  2 [size=\"32947200\", alpha=\"0.11\", expect_size=\"13178880\"] \n  3 [size=\"42654720\", alpha=\"0.09\", expect_size=\"17061888\"] \n  3 -> 5 [size =\"17061888\"]\n  3 -> 6 [size =\"17061888\"]\n  3 -> 7 [size =\"17061888\"]\n  3 -> 9 [size =\"17061888\"]\n  4 [size=\"69301760\", alpha=\"0.05\", expect_size=\"27720704\"] \n  4 -> 5 [size =\"27720704\"]\n  4 -> 7 [size =\"27720704\"]\n  4 -> 8 [size =\"27720704\"]\n  4 -> 9 [size =\"27720704\"]\n  5 [size=\"91788800\", alpha=\"0.20\", expect_size=\"36715520\"] \n  6 [size=\"68879360\", alpha=\"0.06\", expect_size=\"27551744\"] \n  6 -> 10 [size =\"27551744\"]\n  6 -> 11 [size =\"27551744\"]\n  6 -> 13 [size =\"27551744\"]\n  7 [size=\"112320000\", alpha=\"0.01\", expect_size=\"44928000\"] \n  7 -> 10 [size =\"44928000\"]\n  8 [size=\"19745280\", alpha=\"0.11\", expect_size=\"7898112\"] \n  8 -> 10 [size =\"7898112\"]\n  8 -> 11 [size =\"7898112\"]\n  9 [size=\"128706560\", alpha=\"0.09\", expect_size=\"51482624\"] \n  9 -> 12 [size =\"51482624\"]\n  10 [size=\"25838080\", alpha=\"0.17\", expect_size=\"10335232\"] \n  10 -> 16 [size =\"10335232\"]\n  10 -> 16 [size =\"10335232\"]\n  11 [size=\"93143040\", alpha=\"0.02\", expect_size=\"37257216\"] \n  12 [size=\"22407680\", alpha=\"0.08\", expect_size=\"8963072\"] \n  12 -> 14 [size =\"8963072\"]\n  12 -> 15 [size =\"8963072\"]\n  12 -> 18 [size =\"8963072\"]\n  13 [size=\"89239040\", alpha=\"0.08\", expect_size=\"35695616\"] \n  13 -> 14 [size =\"35695616\"]\n  13 -> 16 [size =\"35695616\"]\n  13 -> 17 [size =\"35695616\"]\n  14 [size=\"26713600\", alpha=\"0.02\", expect_size=\"10685440\"] \n  14 -> 19 [size =\"10685440\"]\n  14 -> 20 [size =\"10685440\"]\n  14 -> 22 [size =\"10685440\"]\n  15 [size=\"55198720\", alpha=\"0.09\", expect_size=\"22079488\"] \n  15 -> 19 [size =\"22079488\"]\n  15 -> 20 [size =\"22079488\"]\n  15 -> 21 [size =\"22079488\"]\n  16 [size=\"53765120\", alpha=\"0.13\", expect_size=\"21506048\"] \n  17 [size=\"91942400\", alpha=\"0.19\", expect_size=\"36776960\"] \n  18 [size=\"100451840\", alpha=\"0.04\", expect_size=\"40180736\"] \n  18 -> 19 [size =\"40180736\"]\n  18 -> 20 [size =\"40180736\"]\n  19 [size=\"46535680\", alpha=\"0.10\", expect_size=\"18614272\"] \n  19 -> 24 [size =\"18614272\"]\n  19 -> 25 [size =\"18614272\"]\n  20 [size=\"102200320\", alpha=\"0.08\", expect_size=\"40880128\"] \n  20 -> 24 [size =\"40880128\"]\n  20 -> 25 [size =\"40880128\"]\n  20 -> 26 [size =\"40880128\"]\n  20 -> 27 [size =\"40880128\"]\n  21 [size=\"86794240\", alpha=\"0.13\", expect_size=\"34717696\"] \n  21 -> 23 [size =\"34717696\"]\n  21 -> 24 [size =\"34717696\"]\n  21 -> 25 [size =\"34717696\"]\n  22 [size=\"97185280\", alpha=\"0.01\", expect_size=\"38874112\"] \n  22 -> 23 [size =\"38874112\"]\n  22 -> 26 [size =\"38874112\"]\n  23 [size=\"28505600\", alpha=\"0.14\", expect_size=\"11402240\"] \n  23 -> 29 [size =\"11402240\"]\n  23 -> 31 [size =\"11402240\"]\n  24 [size=\"76761600\", alpha=\"0.16\", expect_size=\"30704640\"] \n  24 -> 28 [size =\"30704640\"]\n  24 -> 29 [size =\"30704640\"]\n  24 -> 30 [size =\"30704640\"]\n  25 [size=\"91164160\", alpha=\"0.12\", expect_size=\"36465664\"] \n  25 -> 28 [size =\"36465664\"]\n  25 -> 31 [size =\"36465664\"]\n  26 [size=\"28029440\", alpha=\"0.18\", expect_size=\"11211776\"] \n  26 -> 30 [size =\"11211776\"]\n  27 [size=\"105702400\", alpha=\"0.00\", expect_size=\"42280960\"] \n  28 [size=\"101936640\", alpha=\"0.03\", expect_size=\"40774656\"] \n  29 [size=\"126466560\", alpha=\"0.06\", expect_size=\"50586624\"] \n  30 [size=\"65049600\", alpha=\"0.12\", expect_size=\"26019840\"] \n  31 [size=\"111293440\", alpha=\"0.10\", expect_size=\"44517376\"] \n  31 -> 32 [size =\"44517376\"]\n  31 -> 33 [size =\"44517376\"]\n  31 -> 34 [size =\"44517376\"]\n  31 -> 35 [size =\"44517376\"]\n  32 [size=\"67496960\", alpha=\"0.11\", expect_size=\"26998784\"] \n  33 [size=\"71464960\", alpha=\"0.04\", expect_size=\"28585984\"] \n  34 [size=\"34782720\", alpha=\"0.19\", expect_size=\"13913088\"] \n  35 [size=\"13644800\", alpha=\"0.02\", expect_size=\"5457920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163293867\", alpha=\"0.12\", expect_size=\"48988160\"] \n  1 -> 25 [size =\"48988160\"]\n  1 -> 25 [size =\"48988160\"]\n  1 -> 29 [size =\"48988160\"]\n  1 -> 32 [size =\"48988160\"]\n  1 -> 34 [size =\"48988160\"]\n  2 [size=\"38434133\", alpha=\"0.10\", expect_size=\"11530240\"] \n  2 -> 25 [size =\"11530240\"]\n  2 -> 29 [size =\"11530240\"]\n  2 -> 32 [size =\"11530240\"]\n  2 -> 32 [size =\"11530240\"]\n  2 -> 34 [size =\"11530240\"]\n  3 [size=\"161430187\", alpha=\"0.02\", expect_size=\"48429056\"] \n  3 -> 30 [size =\"48429056\"]\n  3 -> 32 [size =\"48429056\"]\n  3 -> 32 [size =\"48429056\"]\n  3 -> 34 [size =\"48429056\"]\n  3 -> 35 [size =\"48429056\"]\n  4 [size=\"126668800\", alpha=\"0.11\", expect_size=\"38000640\"] \n  4 -> 25 [size =\"38000640\"]\n  4 -> 29 [size =\"38000640\"]\n  4 -> 31 [size =\"38000640\"]\n  4 -> 32 [size =\"38000640\"]\n  5 [size=\"97447253\", alpha=\"0.01\", expect_size=\"29234176\"] \n  5 -> 25 [size =\"29234176\"]\n  5 -> 26 [size =\"29234176\"]\n  5 -> 29 [size =\"29234176\"]\n  5 -> 30 [size =\"29234176\"]\n  5 -> 31 [size =\"29234176\"]\n  5 -> 32 [size =\"29234176\"]\n  6 [size=\"41905493\", alpha=\"0.06\", expect_size=\"12571648\"] \n  6 -> 25 [size =\"12571648\"]\n  6 -> 28 [size =\"12571648\"]\n  6 -> 29 [size =\"12571648\"]\n  6 -> 31 [size =\"12571648\"]\n  6 -> 34 [size =\"12571648\"]\n  7 [size=\"75212800\", alpha=\"0.13\", expect_size=\"22563840\"] \n  7 -> 24 [size =\"22563840\"]\n  7 -> 29 [size =\"22563840\"]\n  7 -> 31 [size =\"22563840\"]\n  7 -> 32 [size =\"22563840\"]\n  7 -> 34 [size =\"22563840\"]\n  8 [size=\"78742187\", alpha=\"0.03\", expect_size=\"23622656\"] \n  8 -> 31 [size =\"23622656\"]\n  8 -> 32 [size =\"23622656\"]\n  8 -> 33 [size =\"23622656\"]\n  9 [size=\"46994773\", alpha=\"0.07\", expect_size=\"14098432\"] \n  9 -> 32 [size =\"14098432\"]\n  9 -> 32 [size =\"14098432\"]\n  9 -> 33 [size =\"14098432\"]\n  9 -> 34 [size =\"14098432\"]\n  10 [size=\"157252267\", alpha=\"0.16\", expect_size=\"47175680\"] \n  10 -> 26 [size =\"47175680\"]\n  10 -> 29 [size =\"47175680\"]\n  10 -> 30 [size =\"47175680\"]\n  11 [size=\"85988693\", alpha=\"0.19\", expect_size=\"25796608\"] \n  11 -> 25 [size =\"25796608\"]\n  11 -> 26 [size =\"25796608\"]\n  11 -> 29 [size =\"25796608\"]\n  11 -> 30 [size =\"25796608\"]\n  11 -> 33 [size =\"25796608\"]\n  11 -> 34 [size =\"25796608\"]\n  12 [size=\"25125547\", alpha=\"0.05\", expect_size=\"7537664\"] \n  12 -> 29 [size =\"7537664\"]\n  12 -> 30 [size =\"7537664\"]\n  12 -> 31 [size =\"7537664\"]\n  12 -> 32 [size =\"7537664\"]\n  12 -> 33 [size =\"7537664\"]\n  13 [size=\"99949227\", alpha=\"0.01\", expect_size=\"29984768\"] \n  13 -> 25 [size =\"29984768\"]\n  13 -> 27 [size =\"29984768\"]\n  13 -> 29 [size =\"29984768\"]\n  13 -> 30 [size =\"29984768\"]\n  13 -> 32 [size =\"29984768\"]\n  13 -> 33 [size =\"29984768\"]\n  14 [size=\"112216747\", alpha=\"0.02\", expect_size=\"33665024\"] \n  14 -> 25 [size =\"33665024\"]\n  14 -> 28 [size =\"33665024\"]\n  14 -> 29 [size =\"33665024\"]\n  14 -> 30 [size =\"33665024\"]\n  14 -> 32 [size =\"33665024\"]\n  14 -> 34 [size =\"33665024\"]\n  15 [size=\"44281173\", alpha=\"0.07\", expect_size=\"13284352\"] \n  15 -> 25 [size =\"13284352\"]\n  15 -> 29 [size =\"13284352\"]\n  15 -> 31 [size =\"13284352\"]\n  15 -> 32 [size =\"13284352\"]\n  16 [size=\"55954773\", alpha=\"0.13\", expect_size=\"16786432\"] \n  16 -> 26 [size =\"16786432\"]\n  16 -> 28 [size =\"16786432\"]\n  16 -> 31 [size =\"16786432\"]\n  16 -> 33 [size =\"16786432\"]\n  17 [size=\"102652587\", alpha=\"0.05\", expect_size=\"30795776\"] \n  17 -> 25 [size =\"30795776\"]\n  17 -> 30 [size =\"30795776\"]\n  17 -> 31 [size =\"30795776\"]\n  17 -> 33 [size =\"30795776\"]\n  18 [size=\"49319253\", alpha=\"0.13\", expect_size=\"14795776\"] \n  18 -> 26 [size =\"14795776\"]\n  18 -> 33 [size =\"14795776\"]\n  19 [size=\"69468160\", alpha=\"0.15\", expect_size=\"20840448\"] \n  19 -> 26 [size =\"20840448\"]\n  19 -> 30 [size =\"20840448\"]\n  19 -> 31 [size =\"20840448\"]\n  19 -> 32 [size =\"20840448\"]\n  19 -> 33 [size =\"20840448\"]\n  20 [size=\"121606827\", alpha=\"0.20\", expect_size=\"36482048\"] \n  20 -> 25 [size =\"36482048\"]\n  20 -> 26 [size =\"36482048\"]\n  20 -> 27 [size =\"36482048\"]\n  20 -> 31 [size =\"36482048\"]\n  20 -> 32 [size =\"36482048\"]\n  20 -> 33 [size =\"36482048\"]\n  21 [size=\"90470400\", alpha=\"0.04\", expect_size=\"27141120\"] \n  21 -> 24 [size =\"27141120\"]\n  21 -> 29 [size =\"27141120\"]\n  21 -> 32 [size =\"27141120\"]\n  21 -> 33 [size =\"27141120\"]\n  22 [size=\"79319040\", alpha=\"0.10\", expect_size=\"23795712\"] \n  22 -> 24 [size =\"23795712\"]\n  22 -> 25 [size =\"23795712\"]\n  22 -> 30 [size =\"23795712\"]\n  22 -> 32 [size =\"23795712\"]\n  22 -> 33 [size =\"23795712\"]\n  23 [size=\"114954240\", alpha=\"0.15\", expect_size=\"34486272\"] \n  23 -> 24 [size =\"34486272\"]\n  23 -> 25 [size =\"34486272\"]\n  23 -> 27 [size =\"34486272\"]\n  23 -> 28 [size =\"34486272\"]\n  23 -> 30 [size =\"34486272\"]\n  23 -> 32 [size =\"34486272\"]\n  23 -> 33 [size =\"34486272\"]\n  23 -> 34 [size =\"34486272\"]\n  24 [size=\"122443093\", alpha=\"0.13\", expect_size=\"36732928\"] \n  25 [size=\"136284160\", alpha=\"0.02\", expect_size=\"40885248\"] \n  26 [size=\"31307093\", alpha=\"0.14\", expect_size=\"9392128\"] \n  27 [size=\"137082880\", alpha=\"0.13\", expect_size=\"41124864\"] \n  28 [size=\"19476480\", alpha=\"0.00\", expect_size=\"5842944\"] \n  29 [size=\"122897067\", alpha=\"0.11\", expect_size=\"36869120\"] \n  30 [size=\"80305493\", alpha=\"0.20\", expect_size=\"24091648\"] \n  31 [size=\"78888960\", alpha=\"0.17\", expect_size=\"23666688\"] \n  32 [size=\"107178667\", alpha=\"0.15\", expect_size=\"32153600\"] \n  33 [size=\"28849493\", alpha=\"0.04\", expect_size=\"8654848\"] \n  34 [size=\"145141760\", alpha=\"0.05\", expect_size=\"43542528\"] \n  35 [size=\"93395627\", alpha=\"0.09\", expect_size=\"28018688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163590827\", alpha=\"0.13\", expect_size=\"49077248\"] \n  1 -> 2 [size =\"49077248\"]\n  2 [size=\"31658667\", alpha=\"0.01\", expect_size=\"9497600\"] \n  2 -> 3 [size =\"9497600\"]\n  3 [size=\"19114667\", alpha=\"0.03\", expect_size=\"5734400\"] \n  3 -> 4 [size =\"5734400\"]\n  4 [size=\"46086827\", alpha=\"0.02\", expect_size=\"13826048\"] \n  4 -> 5 [size =\"13826048\"]\n  5 [size=\"98798933\", alpha=\"0.14\", expect_size=\"29639680\"] \n  5 -> 6 [size =\"29639680\"]\n  6 [size=\"109472427\", alpha=\"0.13\", expect_size=\"32841728\"] \n  6 -> 7 [size =\"32841728\"]\n  7 [size=\"171929600\", alpha=\"0.16\", expect_size=\"51578880\"] \n  7 -> 8 [size =\"51578880\"]\n  8 [size=\"138417493\", alpha=\"0.10\", expect_size=\"41525248\"] \n  8 -> 9 [size =\"41525248\"]\n  9 [size=\"22524587\", alpha=\"0.10\", expect_size=\"6757376\"] \n  9 -> 10 [size =\"6757376\"]\n  10 [size=\"172284587\", alpha=\"0.12\", expect_size=\"51685376\"] \n  10 -> 11 [size =\"51685376\"]\n  11 [size=\"18612907\", alpha=\"0.06\", expect_size=\"5583872\"] \n  11 -> 12 [size =\"5583872\"]\n  12 [size=\"119975253\", alpha=\"0.18\", expect_size=\"35992576\"] \n  12 -> 13 [size =\"35992576\"]\n  13 [size=\"125429760\", alpha=\"0.11\", expect_size=\"37628928\"] \n  13 -> 14 [size =\"37628928\"]\n  14 [size=\"152077653\", alpha=\"0.18\", expect_size=\"45623296\"] \n  14 -> 15 [size =\"45623296\"]\n  15 [size=\"165072213\", alpha=\"0.15\", expect_size=\"49521664\"] \n  15 -> 16 [size =\"49521664\"]\n  16 [size=\"115534507\", alpha=\"0.08\", expect_size=\"34660352\"] \n  16 -> 17 [size =\"34660352\"]\n  17 [size=\"58832213\", alpha=\"0.16\", expect_size=\"17649664\"] \n  17 -> 18 [size =\"17649664\"]\n  18 [size=\"26709333\", alpha=\"0.19\", expect_size=\"8012800\"] \n  18 -> 19 [size =\"8012800\"]\n  19 [size=\"105342293\", alpha=\"0.15\", expect_size=\"31602688\"] \n  19 -> 20 [size =\"31602688\"]\n  20 [size=\"22831787\", alpha=\"0.00\", expect_size=\"6849536\"] \n  20 -> 21 [size =\"6849536\"]\n  21 [size=\"115251200\", alpha=\"0.04\", expect_size=\"34575360\"] \n  21 -> 22 [size =\"34575360\"]\n  22 [size=\"159648427\", alpha=\"0.10\", expect_size=\"47894528\"] \n  22 -> 23 [size =\"47894528\"]\n  23 [size=\"145742507\", alpha=\"0.15\", expect_size=\"43722752\"] \n  23 -> 24 [size =\"43722752\"]\n  24 [size=\"72168107\", alpha=\"0.05\", expect_size=\"21650432\"] \n  24 -> 25 [size =\"21650432\"]\n  25 [size=\"54207147\", alpha=\"0.04\", expect_size=\"16262144\"] \n  25 -> 26 [size =\"16262144\"]\n  26 [size=\"171113813\", alpha=\"0.16\", expect_size=\"51334144\"] \n  26 -> 27 [size =\"51334144\"]\n  27 [size=\"78530560\", alpha=\"0.07\", expect_size=\"23559168\"] \n  27 -> 28 [size =\"23559168\"]\n  28 [size=\"46008320\", alpha=\"0.13\", expect_size=\"13802496\"] \n  28 -> 29 [size =\"13802496\"]\n  29 [size=\"35682987\", alpha=\"0.00\", expect_size=\"10704896\"] \n  29 -> 30 [size =\"10704896\"]\n  30 [size=\"154924373\", alpha=\"0.07\", expect_size=\"46477312\"] \n  30 -> 31 [size =\"46477312\"]\n  31 [size=\"157207893\", alpha=\"0.14\", expect_size=\"47162368\"] \n  31 -> 32 [size =\"47162368\"]\n  32 [size=\"31361707\", alpha=\"0.14\", expect_size=\"9408512\"] \n  32 -> 33 [size =\"9408512\"]\n  33 [size=\"106141013\", alpha=\"0.07\", expect_size=\"31842304\"] \n  33 -> 34 [size =\"31842304\"]\n  34 [size=\"68614827\", alpha=\"0.18\", expect_size=\"20584448\"] \n  34 -> 35 [size =\"20584448\"]\n  35 [size=\"104683520\", alpha=\"0.08\", expect_size=\"31405056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119558827\", alpha=\"0.04\", expect_size=\"35867648\"] \n  1 -> 2 [size =\"35867648\"]\n  2 [size=\"117432320\", alpha=\"0.07\", expect_size=\"35229696\"] \n  2 -> 3 [size =\"35229696\"]\n  2 -> 4 [size =\"35229696\"]\n  3 [size=\"136376320\", alpha=\"0.09\", expect_size=\"40912896\"] \n  4 [size=\"97310720\", alpha=\"0.06\", expect_size=\"29193216\"] \n  4 -> 5 [size =\"29193216\"]\n  5 [size=\"102939307\", alpha=\"0.12\", expect_size=\"30881792\"] \n  5 -> 6 [size =\"30881792\"]\n  5 -> 7 [size =\"30881792\"]\n  6 [size=\"33658880\", alpha=\"0.11\", expect_size=\"10097664\"] \n  7 [size=\"164502187\", alpha=\"0.17\", expect_size=\"49350656\"] \n  7 -> 8 [size =\"49350656\"]\n  8 [size=\"44356267\", alpha=\"0.01\", expect_size=\"13306880\"] \n  8 -> 9 [size =\"13306880\"]\n  9 [size=\"131880960\", alpha=\"0.19\", expect_size=\"39564288\"] \n  9 -> 10 [size =\"39564288\"]\n  10 [size=\"50725547\", alpha=\"0.06\", expect_size=\"15217664\"] \n  10 -> 11 [size =\"15217664\"]\n  10 -> 12 [size =\"15217664\"]\n  11 [size=\"127842987\", alpha=\"0.12\", expect_size=\"38352896\"] \n  11 -> 13 [size =\"38352896\"]\n  11 -> 14 [size =\"38352896\"]\n  12 [size=\"162399573\", alpha=\"0.11\", expect_size=\"48719872\"] \n  13 [size=\"61593600\", alpha=\"0.20\", expect_size=\"18478080\"] \n  14 [size=\"131505493\", alpha=\"0.12\", expect_size=\"39451648\"] \n  14 -> 15 [size =\"39451648\"]\n  14 -> 16 [size =\"39451648\"]\n  15 [size=\"24541867\", alpha=\"0.12\", expect_size=\"7362560\"] \n  15 -> 18 [size =\"7362560\"]\n  16 [size=\"116432213\", alpha=\"0.03\", expect_size=\"34929664\"] \n  16 -> 17 [size =\"34929664\"]\n  17 [size=\"43892053\", alpha=\"0.03\", expect_size=\"13167616\"] \n  18 [size=\"17483093\", alpha=\"0.00\", expect_size=\"5244928\"] \n  18 -> 19 [size =\"5244928\"]\n  19 [size=\"25671680\", alpha=\"0.07\", expect_size=\"7701504\"] \n  19 -> 20 [size =\"7701504\"]\n  20 [size=\"20834987\", alpha=\"0.07\", expect_size=\"6250496\"] \n  20 -> 21 [size =\"6250496\"]\n  21 [size=\"68382720\", alpha=\"0.19\", expect_size=\"20514816\"] \n  21 -> 22 [size =\"20514816\"]\n  21 -> 23 [size =\"20514816\"]\n  22 [size=\"160211627\", alpha=\"0.04\", expect_size=\"48063488\"] \n  23 [size=\"93323947\", alpha=\"0.04\", expect_size=\"27997184\"] \n  23 -> 24 [size =\"27997184\"]\n  24 [size=\"90060800\", alpha=\"0.14\", expect_size=\"27018240\"] \n  24 -> 25 [size =\"27018240\"]\n  24 -> 26 [size =\"27018240\"]\n  25 [size=\"27815253\", alpha=\"0.15\", expect_size=\"8344576\"] \n  26 [size=\"119668053\", alpha=\"0.18\", expect_size=\"35900416\"] \n  26 -> 27 [size =\"35900416\"]\n  26 -> 28 [size =\"35900416\"]\n  27 [size=\"141172053\", alpha=\"0.20\", expect_size=\"42351616\"] \n  27 -> 30 [size =\"42351616\"]\n  28 [size=\"163652267\", alpha=\"0.05\", expect_size=\"49095680\"] \n  28 -> 29 [size =\"49095680\"]\n  29 [size=\"163795627\", alpha=\"0.05\", expect_size=\"49138688\"] \n  29 -> 31 [size =\"49138688\"]\n  30 [size=\"64860160\", alpha=\"0.09\", expect_size=\"19458048\"] \n  31 [size=\"117060267\", alpha=\"0.07\", expect_size=\"35118080\"] \n  31 -> 32 [size =\"35118080\"]\n  31 -> 33 [size =\"35118080\"]\n  32 [size=\"107909120\", alpha=\"0.03\", expect_size=\"32372736\"] \n  33 [size=\"137362773\", alpha=\"0.05\", expect_size=\"41208832\"] \n  33 -> 34 [size =\"41208832\"]\n  34 [size=\"167038293\", alpha=\"0.02\", expect_size=\"50111488\"] \n  34 -> 35 [size =\"50111488\"]\n  35 [size=\"119480320\", alpha=\"0.19\", expect_size=\"35844096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114365440\", alpha=\"0.19\", expect_size=\"45746176\"] \n  1 -> 13 [size =\"45746176\"]\n  1 -> 17 [size =\"45746176\"]\n  1 -> 21 [size =\"45746176\"]\n  1 -> 24 [size =\"45746176\"]\n  2 [size=\"21831680\", alpha=\"0.03\", expect_size=\"8732672\"] \n  2 -> 13 [size =\"8732672\"]\n  2 -> 14 [size =\"8732672\"]\n  2 -> 16 [size =\"8732672\"]\n  2 -> 17 [size =\"8732672\"]\n  2 -> 18 [size =\"8732672\"]\n  2 -> 19 [size =\"8732672\"]\n  2 -> 21 [size =\"8732672\"]\n  3 [size=\"41287680\", alpha=\"0.13\", expect_size=\"16515072\"] \n  3 -> 13 [size =\"16515072\"]\n  3 -> 14 [size =\"16515072\"]\n  3 -> 19 [size =\"16515072\"]\n  3 -> 24 [size =\"16515072\"]\n  4 [size=\"42826240\", alpha=\"0.04\", expect_size=\"17130496\"] \n  4 -> 13 [size =\"17130496\"]\n  4 -> 15 [size =\"17130496\"]\n  4 -> 16 [size =\"17130496\"]\n  4 -> 22 [size =\"17130496\"]\n  5 [size=\"103470080\", alpha=\"0.02\", expect_size=\"41388032\"] \n  5 -> 15 [size =\"41388032\"]\n  5 -> 16 [size =\"41388032\"]\n  5 -> 18 [size =\"41388032\"]\n  5 -> 22 [size =\"41388032\"]\n  6 [size=\"118397440\", alpha=\"0.02\", expect_size=\"47358976\"] \n  6 -> 13 [size =\"47358976\"]\n  6 -> 20 [size =\"47358976\"]\n  7 [size=\"35776000\", alpha=\"0.15\", expect_size=\"14310400\"] \n  7 -> 15 [size =\"14310400\"]\n  7 -> 20 [size =\"14310400\"]\n  7 -> 21 [size =\"14310400\"]\n  7 -> 23 [size =\"14310400\"]\n  8 [size=\"83852800\", alpha=\"0.03\", expect_size=\"33541120\"] \n  8 -> 20 [size =\"33541120\"]\n  8 -> 22 [size =\"33541120\"]\n  9 [size=\"15037440\", alpha=\"0.10\", expect_size=\"6014976\"] \n  9 -> 14 [size =\"6014976\"]\n  9 -> 21 [size =\"6014976\"]\n  9 -> 22 [size =\"6014976\"]\n  9 -> 23 [size =\"6014976\"]\n  10 [size=\"128227840\", alpha=\"0.08\", expect_size=\"51291136\"] \n  10 -> 13 [size =\"51291136\"]\n  10 -> 17 [size =\"51291136\"]\n  10 -> 18 [size =\"51291136\"]\n  10 -> 21 [size =\"51291136\"]\n  10 -> 22 [size =\"51291136\"]\n  11 [size=\"52088320\", alpha=\"0.13\", expect_size=\"20835328\"] \n  11 -> 14 [size =\"20835328\"]\n  12 [size=\"49100800\", alpha=\"0.20\", expect_size=\"19640320\"] \n  12 -> 16 [size =\"19640320\"]\n  13 [size=\"68835840\", alpha=\"0.19\", expect_size=\"27534336\"] \n  13 -> 25 [size =\"27534336\"]\n  13 -> 29 [size =\"27534336\"]\n  13 -> 31 [size =\"27534336\"]\n  13 -> 34 [size =\"27534336\"]\n  14 [size=\"27776000\", alpha=\"0.07\", expect_size=\"11110400\"] \n  14 -> 25 [size =\"11110400\"]\n  14 -> 27 [size =\"11110400\"]\n  14 -> 29 [size =\"11110400\"]\n  14 -> 32 [size =\"11110400\"]\n  15 [size=\"53140480\", alpha=\"0.18\", expect_size=\"21256192\"] \n  15 -> 25 [size =\"21256192\"]\n  15 -> 32 [size =\"21256192\"]\n  15 -> 34 [size =\"21256192\"]\n  16 [size=\"62574080\", alpha=\"0.03\", expect_size=\"25029632\"] \n  16 -> 26 [size =\"25029632\"]\n  16 -> 29 [size =\"25029632\"]\n  16 -> 30 [size =\"25029632\"]\n  16 -> 32 [size =\"25029632\"]\n  17 [size=\"77068800\", alpha=\"0.08\", expect_size=\"30827520\"] \n  17 -> 30 [size =\"30827520\"]\n  18 [size=\"44715520\", alpha=\"0.13\", expect_size=\"17886208\"] \n  18 -> 30 [size =\"17886208\"]\n  19 [size=\"60203520\", alpha=\"0.16\", expect_size=\"24081408\"] \n  19 -> 32 [size =\"24081408\"]\n  20 [size=\"116528640\", alpha=\"0.12\", expect_size=\"46611456\"] \n  20 -> 25 [size =\"46611456\"]\n  20 -> 26 [size =\"46611456\"]\n  20 -> 29 [size =\"46611456\"]\n  20 -> 31 [size =\"46611456\"]\n  20 -> 34 [size =\"46611456\"]\n  21 [size=\"44272640\", alpha=\"0.05\", expect_size=\"17709056\"] \n  21 -> 26 [size =\"17709056\"]\n  21 -> 27 [size =\"17709056\"]\n  21 -> 28 [size =\"17709056\"]\n  22 [size=\"118481920\", alpha=\"0.19\", expect_size=\"47392768\"] \n  22 -> 26 [size =\"47392768\"]\n  22 -> 32 [size =\"47392768\"]\n  22 -> 34 [size =\"47392768\"]\n  22 -> 35 [size =\"47392768\"]\n  23 [size=\"116259840\", alpha=\"0.19\", expect_size=\"46503936\"] \n  23 -> 25 [size =\"46503936\"]\n  23 -> 27 [size =\"46503936\"]\n  23 -> 28 [size =\"46503936\"]\n  23 -> 30 [size =\"46503936\"]\n  23 -> 33 [size =\"46503936\"]\n  24 [size=\"110599680\", alpha=\"0.03\", expect_size=\"44239872\"] \n  24 -> 27 [size =\"44239872\"]\n  24 -> 28 [size =\"44239872\"]\n  24 -> 32 [size =\"44239872\"]\n  25 [size=\"33408000\", alpha=\"0.03\", expect_size=\"13363200\"] \n  26 [size=\"24560640\", alpha=\"0.01\", expect_size=\"9824256\"] \n  27 [size=\"43576320\", alpha=\"0.02\", expect_size=\"17430528\"] \n  28 [size=\"90094080\", alpha=\"0.15\", expect_size=\"36037632\"] \n  29 [size=\"46174720\", alpha=\"0.09\", expect_size=\"18469888\"] \n  30 [size=\"22039040\", alpha=\"0.02\", expect_size=\"8815616\"] \n  31 [size=\"91827200\", alpha=\"0.02\", expect_size=\"36730880\"] \n  32 [size=\"120870400\", alpha=\"0.08\", expect_size=\"48348160\"] \n  33 [size=\"117895680\", alpha=\"0.03\", expect_size=\"47158272\"] \n  34 [size=\"111086080\", alpha=\"0.01\", expect_size=\"44434432\"] \n  35 [size=\"130160640\", alpha=\"0.06\", expect_size=\"52064256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48824320\", alpha=\"0.19\", expect_size=\"24412160\"] \n  1 -> 2 [size =\"24412160\"]\n  2 [size=\"42588160\", alpha=\"0.07\", expect_size=\"21294080\"] \n  2 -> 3 [size =\"21294080\"]\n  3 [size=\"40697856\", alpha=\"0.08\", expect_size=\"20348928\"] \n  3 -> 4 [size =\"20348928\"]\n  4 [size=\"86501376\", alpha=\"0.11\", expect_size=\"43250688\"] \n  4 -> 5 [size =\"43250688\"]\n  5 [size=\"32559104\", alpha=\"0.16\", expect_size=\"16279552\"] \n  5 -> 6 [size =\"16279552\"]\n  6 [size=\"83787776\", alpha=\"0.12\", expect_size=\"41893888\"] \n  6 -> 7 [size =\"41893888\"]\n  7 [size=\"94943232\", alpha=\"0.02\", expect_size=\"47471616\"] \n  7 -> 8 [size =\"47471616\"]\n  8 [size=\"63535104\", alpha=\"0.10\", expect_size=\"31767552\"] \n  8 -> 9 [size =\"31767552\"]\n  9 [size=\"93997056\", alpha=\"0.13\", expect_size=\"46998528\"] \n  9 -> 10 [size =\"46998528\"]\n  10 [size=\"62070784\", alpha=\"0.16\", expect_size=\"31035392\"] \n  10 -> 11 [size =\"31035392\"]\n  11 [size=\"76476416\", alpha=\"0.06\", expect_size=\"38238208\"] \n  11 -> 12 [size =\"38238208\"]\n  12 [size=\"70758400\", alpha=\"0.12\", expect_size=\"35379200\"] \n  12 -> 13 [size =\"35379200\"]\n  13 [size=\"102512640\", alpha=\"0.17\", expect_size=\"51256320\"] \n  13 -> 14 [size =\"51256320\"]\n  14 [size=\"43771904\", alpha=\"0.16\", expect_size=\"21885952\"] \n  14 -> 15 [size =\"21885952\"]\n  15 [size=\"95365120\", alpha=\"0.07\", expect_size=\"47682560\"] \n  15 -> 16 [size =\"47682560\"]\n  16 [size=\"77094912\", alpha=\"0.13\", expect_size=\"38547456\"] \n  16 -> 17 [size =\"38547456\"]\n  17 [size=\"37830656\", alpha=\"0.17\", expect_size=\"18915328\"] \n  17 -> 18 [size =\"18915328\"]\n  18 [size=\"48711680\", alpha=\"0.12\", expect_size=\"24355840\"] \n  18 -> 19 [size =\"24355840\"]\n  19 [size=\"94932992\", alpha=\"0.19\", expect_size=\"47466496\"] \n  19 -> 20 [size =\"47466496\"]\n  20 [size=\"62707712\", alpha=\"0.11\", expect_size=\"31353856\"] \n  20 -> 21 [size =\"31353856\"]\n  21 [size=\"41908224\", alpha=\"0.12\", expect_size=\"20954112\"] \n  21 -> 22 [size =\"20954112\"]\n  22 [size=\"70989824\", alpha=\"0.19\", expect_size=\"35494912\"] \n  22 -> 23 [size =\"35494912\"]\n  23 [size=\"33677312\", alpha=\"0.13\", expect_size=\"16838656\"] \n  23 -> 24 [size =\"16838656\"]\n  24 [size=\"20899840\", alpha=\"0.03\", expect_size=\"10449920\"] \n  24 -> 25 [size =\"10449920\"]\n  25 [size=\"97200128\", alpha=\"0.18\", expect_size=\"48600064\"] \n  25 -> 26 [size =\"48600064\"]\n  26 [size=\"35303424\", alpha=\"0.08\", expect_size=\"17651712\"] \n  26 -> 27 [size =\"17651712\"]\n  27 [size=\"94531584\", alpha=\"0.16\", expect_size=\"47265792\"] \n  27 -> 28 [size =\"47265792\"]\n  28 [size=\"80934912\", alpha=\"0.16\", expect_size=\"40467456\"] \n  28 -> 29 [size =\"40467456\"]\n  29 [size=\"43925504\", alpha=\"0.13\", expect_size=\"21962752\"] \n  29 -> 30 [size =\"21962752\"]\n  30 [size=\"37582848\", alpha=\"0.01\", expect_size=\"18791424\"] \n  30 -> 31 [size =\"18791424\"]\n  31 [size=\"90548224\", alpha=\"0.03\", expect_size=\"45274112\"] \n  31 -> 32 [size =\"45274112\"]\n  32 [size=\"52414464\", alpha=\"0.18\", expect_size=\"26207232\"] \n  32 -> 33 [size =\"26207232\"]\n  33 [size=\"49659904\", alpha=\"0.12\", expect_size=\"24829952\"] \n  33 -> 34 [size =\"24829952\"]\n  34 [size=\"18122752\", alpha=\"0.13\", expect_size=\"9061376\"] \n  34 -> 35 [size =\"9061376\"]\n  35 [size=\"33822720\", alpha=\"0.12\", expect_size=\"16911360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82493440\", alpha=\"0.05\", expect_size=\"41246720\"] \n  1 -> 2 [size =\"41246720\"]\n  2 [size=\"85317632\", alpha=\"0.06\", expect_size=\"42658816\"] \n  2 -> 3 [size =\"42658816\"]\n  3 [size=\"85891072\", alpha=\"0.04\", expect_size=\"42945536\"] \n  3 -> 4 [size =\"42945536\"]\n  4 [size=\"95096832\", alpha=\"0.06\", expect_size=\"47548416\"] \n  4 -> 5 [size =\"47548416\"]\n  5 [size=\"29235200\", alpha=\"0.19\", expect_size=\"14617600\"] \n  5 -> 6 [size =\"14617600\"]\n  6 [size=\"65030144\", alpha=\"0.07\", expect_size=\"32515072\"] \n  6 -> 7 [size =\"32515072\"]\n  7 [size=\"21567488\", alpha=\"0.07\", expect_size=\"10783744\"] \n  7 -> 8 [size =\"10783744\"]\n  8 [size=\"35241984\", alpha=\"0.03\", expect_size=\"17620992\"] \n  8 -> 9 [size =\"17620992\"]\n  9 [size=\"38187008\", alpha=\"0.12\", expect_size=\"19093504\"] \n  9 -> 10 [size =\"19093504\"]\n  10 [size=\"46880768\", alpha=\"0.12\", expect_size=\"23440384\"] \n  10 -> 11 [size =\"23440384\"]\n  11 [size=\"68550656\", alpha=\"0.09\", expect_size=\"34275328\"] \n  11 -> 12 [size =\"34275328\"]\n  12 [size=\"91789312\", alpha=\"0.14\", expect_size=\"45894656\"] \n  12 -> 13 [size =\"45894656\"]\n  13 [size=\"27824128\", alpha=\"0.15\", expect_size=\"13912064\"] \n  13 -> 14 [size =\"13912064\"]\n  14 [size=\"44576768\", alpha=\"0.09\", expect_size=\"22288384\"] \n  14 -> 15 [size =\"22288384\"]\n  15 [size=\"71000064\", alpha=\"0.16\", expect_size=\"35500032\"] \n  15 -> 16 [size =\"35500032\"]\n  16 [size=\"65644544\", alpha=\"0.12\", expect_size=\"32822272\"] \n  16 -> 17 [size =\"32822272\"]\n  17 [size=\"98666496\", alpha=\"0.11\", expect_size=\"49333248\"] \n  17 -> 18 [size =\"49333248\"]\n  18 [size=\"38772736\", alpha=\"0.10\", expect_size=\"19386368\"] \n  18 -> 19 [size =\"19386368\"]\n  19 [size=\"53932032\", alpha=\"0.13\", expect_size=\"26966016\"] \n  19 -> 20 [size =\"26966016\"]\n  20 [size=\"15890432\", alpha=\"0.12\", expect_size=\"7945216\"] \n  20 -> 21 [size =\"7945216\"]\n  21 [size=\"72273920\", alpha=\"0.07\", expect_size=\"36136960\"] \n  21 -> 22 [size =\"36136960\"]\n  22 [size=\"20832256\", alpha=\"0.17\", expect_size=\"10416128\"] \n  22 -> 23 [size =\"10416128\"]\n  23 [size=\"86913024\", alpha=\"0.03\", expect_size=\"43456512\"] \n  23 -> 24 [size =\"43456512\"]\n  24 [size=\"62695424\", alpha=\"0.07\", expect_size=\"31347712\"] \n  24 -> 25 [size =\"31347712\"]\n  25 [size=\"12285952\", alpha=\"0.15\", expect_size=\"6142976\"] \n  25 -> 26 [size =\"6142976\"]\n  26 [size=\"89925632\", alpha=\"0.14\", expect_size=\"44962816\"] \n  26 -> 27 [size =\"44962816\"]\n  27 [size=\"51099648\", alpha=\"0.16\", expect_size=\"25549824\"] \n  27 -> 28 [size =\"25549824\"]\n  28 [size=\"103997440\", alpha=\"0.04\", expect_size=\"51998720\"] \n  28 -> 29 [size =\"51998720\"]\n  29 [size=\"56594432\", alpha=\"0.17\", expect_size=\"28297216\"] \n  29 -> 30 [size =\"28297216\"]\n  30 [size=\"24629248\", alpha=\"0.17\", expect_size=\"12314624\"] \n  30 -> 31 [size =\"12314624\"]\n  31 [size=\"82386944\", alpha=\"0.10\", expect_size=\"41193472\"] \n  31 -> 32 [size =\"41193472\"]\n  32 [size=\"18761728\", alpha=\"0.01\", expect_size=\"9380864\"] \n  32 -> 33 [size =\"9380864\"]\n  33 [size=\"97331200\", alpha=\"0.15\", expect_size=\"48665600\"] \n  33 -> 34 [size =\"48665600\"]\n  34 [size=\"16013312\", alpha=\"0.16\", expect_size=\"8006656\"] \n  34 -> 35 [size =\"8006656\"]\n  35 [size=\"48164864\", alpha=\"0.10\", expect_size=\"24082432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50968576\", alpha=\"0.12\", expect_size=\"25484288\"] \n  1 -> 3 [size =\"25484288\"]\n  2 [size=\"91817984\", alpha=\"0.04\", expect_size=\"45908992\"] \n  3 [size=\"41340928\", alpha=\"0.19\", expect_size=\"20670464\"] \n  3 -> 4 [size =\"20670464\"]\n  4 [size=\"77371392\", alpha=\"0.05\", expect_size=\"38685696\"] \n  4 -> 5 [size =\"38685696\"]\n  5 [size=\"62066688\", alpha=\"0.09\", expect_size=\"31033344\"] \n  5 -> 6 [size =\"31033344\"]\n  5 -> 7 [size =\"31033344\"]\n  6 [size=\"25509888\", alpha=\"0.04\", expect_size=\"12754944\"] \n  7 [size=\"74221568\", alpha=\"0.17\", expect_size=\"37110784\"] \n  7 -> 8 [size =\"37110784\"]\n  8 [size=\"92196864\", alpha=\"0.07\", expect_size=\"46098432\"] \n  8 -> 9 [size =\"46098432\"]\n  9 [size=\"59406336\", alpha=\"0.08\", expect_size=\"29703168\"] \n  9 -> 10 [size =\"29703168\"]\n  9 -> 11 [size =\"29703168\"]\n  10 [size=\"77109248\", alpha=\"0.18\", expect_size=\"38554624\"] \n  11 [size=\"70178816\", alpha=\"0.17\", expect_size=\"35089408\"] \n  11 -> 12 [size =\"35089408\"]\n  11 -> 13 [size =\"35089408\"]\n  12 [size=\"30654464\", alpha=\"0.10\", expect_size=\"15327232\"] \n  13 [size=\"48523264\", alpha=\"0.03\", expect_size=\"24261632\"] \n  13 -> 14 [size =\"24261632\"]\n  13 -> 15 [size =\"24261632\"]\n  14 [size=\"44881920\", alpha=\"0.19\", expect_size=\"22440960\"] \n  14 -> 17 [size =\"22440960\"]\n  15 [size=\"66820096\", alpha=\"0.00\", expect_size=\"33410048\"] \n  15 -> 16 [size =\"33410048\"]\n  16 [size=\"16144384\", alpha=\"0.02\", expect_size=\"8072192\"] \n  17 [size=\"34891776\", alpha=\"0.16\", expect_size=\"17445888\"] \n  17 -> 18 [size =\"17445888\"]\n  17 -> 19 [size =\"17445888\"]\n  18 [size=\"20271104\", alpha=\"0.03\", expect_size=\"10135552\"] \n  18 -> 21 [size =\"10135552\"]\n  19 [size=\"53583872\", alpha=\"0.13\", expect_size=\"26791936\"] \n  19 -> 20 [size =\"26791936\"]\n  20 [size=\"90042368\", alpha=\"0.13\", expect_size=\"45021184\"] \n  21 [size=\"78909440\", alpha=\"0.02\", expect_size=\"39454720\"] \n  21 -> 22 [size =\"39454720\"]\n  22 [size=\"63205376\", alpha=\"0.09\", expect_size=\"31602688\"] \n  22 -> 23 [size =\"31602688\"]\n  22 -> 24 [size =\"31602688\"]\n  23 [size=\"15304704\", alpha=\"0.02\", expect_size=\"7652352\"] \n  23 -> 26 [size =\"7652352\"]\n  24 [size=\"27404288\", alpha=\"0.09\", expect_size=\"13702144\"] \n  24 -> 25 [size =\"13702144\"]\n  25 [size=\"20557824\", alpha=\"0.07\", expect_size=\"10278912\"] \n  25 -> 27 [size =\"10278912\"]\n  26 [size=\"22255616\", alpha=\"0.08\", expect_size=\"11127808\"] \n  26 -> 28 [size =\"11127808\"]\n  27 [size=\"31590400\", alpha=\"0.03\", expect_size=\"15795200\"] \n  27 -> 29 [size =\"15795200\"]\n  28 [size=\"11911168\", alpha=\"0.15\", expect_size=\"5955584\"] \n  29 [size=\"24633344\", alpha=\"0.17\", expect_size=\"12316672\"] \n  29 -> 30 [size =\"12316672\"]\n  30 [size=\"83820544\", alpha=\"0.14\", expect_size=\"41910272\"] \n  30 -> 31 [size =\"41910272\"]\n  31 [size=\"51443712\", alpha=\"0.03\", expect_size=\"25721856\"] \n  31 -> 32 [size =\"25721856\"]\n  31 -> 33 [size =\"25721856\"]\n  32 [size=\"62361600\", alpha=\"0.17\", expect_size=\"31180800\"] \n  32 -> 34 [size =\"31180800\"]\n  33 [size=\"103532544\", alpha=\"0.18\", expect_size=\"51766272\"] \n  34 [size=\"17072128\", alpha=\"0.07\", expect_size=\"8536064\"] \n  34 -> 35 [size =\"8536064\"]\n  35 [size=\"58609664\", alpha=\"0.08\", expect_size=\"29304832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58593280\", alpha=\"0.15\", expect_size=\"23437312\"] \n  1 -> 2 [size =\"23437312\"]\n  2 [size=\"23976960\", alpha=\"0.13\", expect_size=\"9590784\"] \n  2 -> 3 [size =\"9590784\"]\n  3 [size=\"87674880\", alpha=\"0.03\", expect_size=\"35069952\"] \n  3 -> 4 [size =\"35069952\"]\n  4 [size=\"64097280\", alpha=\"0.11\", expect_size=\"25638912\"] \n  4 -> 5 [size =\"25638912\"]\n  5 [size=\"66859520\", alpha=\"0.10\", expect_size=\"26743808\"] \n  5 -> 6 [size =\"26743808\"]\n  6 [size=\"128304640\", alpha=\"0.02\", expect_size=\"51321856\"] \n  6 -> 7 [size =\"51321856\"]\n  7 [size=\"109918720\", alpha=\"0.11\", expect_size=\"43967488\"] \n  7 -> 8 [size =\"43967488\"]\n  8 [size=\"116357120\", alpha=\"0.02\", expect_size=\"46542848\"] \n  8 -> 9 [size =\"46542848\"]\n  9 [size=\"103690240\", alpha=\"0.10\", expect_size=\"41476096\"] \n  9 -> 10 [size =\"41476096\"]\n  10 [size=\"31198720\", alpha=\"0.03\", expect_size=\"12479488\"] \n  10 -> 11 [size =\"12479488\"]\n  11 [size=\"66769920\", alpha=\"0.01\", expect_size=\"26707968\"] \n  11 -> 12 [size =\"26707968\"]\n  12 [size=\"38446080\", alpha=\"0.01\", expect_size=\"15378432\"] \n  12 -> 13 [size =\"15378432\"]\n  13 [size=\"117675520\", alpha=\"0.10\", expect_size=\"47070208\"] \n  13 -> 14 [size =\"47070208\"]\n  14 [size=\"14883840\", alpha=\"0.01\", expect_size=\"5953536\"] \n  14 -> 15 [size =\"5953536\"]\n  15 [size=\"81556480\", alpha=\"0.07\", expect_size=\"32622592\"] \n  15 -> 16 [size =\"32622592\"]\n  16 [size=\"22092800\", alpha=\"0.06\", expect_size=\"8837120\"] \n  16 -> 17 [size =\"8837120\"]\n  17 [size=\"35417600\", alpha=\"0.08\", expect_size=\"14167040\"] \n  17 -> 18 [size =\"14167040\"]\n  18 [size=\"98956800\", alpha=\"0.17\", expect_size=\"39582720\"] \n  18 -> 19 [size =\"39582720\"]\n  19 [size=\"111431680\", alpha=\"0.15\", expect_size=\"44572672\"] \n  19 -> 20 [size =\"44572672\"]\n  20 [size=\"51683840\", alpha=\"0.06\", expect_size=\"20673536\"] \n  20 -> 21 [size =\"20673536\"]\n  21 [size=\"69719040\", alpha=\"0.05\", expect_size=\"27887616\"] \n  21 -> 22 [size =\"27887616\"]\n  22 [size=\"75448320\", alpha=\"0.06\", expect_size=\"30179328\"] \n  22 -> 23 [size =\"30179328\"]\n  23 [size=\"81280000\", alpha=\"0.19\", expect_size=\"32512000\"] \n  23 -> 24 [size =\"32512000\"]\n  24 [size=\"21127680\", alpha=\"0.01\", expect_size=\"8451072\"] \n  24 -> 25 [size =\"8451072\"]\n  25 [size=\"29358080\", alpha=\"0.13\", expect_size=\"11743232\"] \n  25 -> 26 [size =\"11743232\"]\n  26 [size=\"68631040\", alpha=\"0.03\", expect_size=\"27452416\"] \n  26 -> 27 [size =\"27452416\"]\n  27 [size=\"102261760\", alpha=\"0.11\", expect_size=\"40904704\"] \n  27 -> 28 [size =\"40904704\"]\n  28 [size=\"33443840\", alpha=\"0.15\", expect_size=\"13377536\"] \n  28 -> 29 [size =\"13377536\"]\n  29 [size=\"14481920\", alpha=\"0.16\", expect_size=\"5792768\"] \n  29 -> 30 [size =\"5792768\"]\n  30 [size=\"100380160\", alpha=\"0.19\", expect_size=\"40152064\"] \n  30 -> 31 [size =\"40152064\"]\n  31 [size=\"17070080\", alpha=\"0.11\", expect_size=\"6828032\"] \n  31 -> 32 [size =\"6828032\"]\n  32 [size=\"45967360\", alpha=\"0.07\", expect_size=\"18386944\"] \n  32 -> 33 [size =\"18386944\"]\n  33 [size=\"79976960\", alpha=\"0.02\", expect_size=\"31990784\"] \n  33 -> 34 [size =\"31990784\"]\n  34 [size=\"75704320\", alpha=\"0.16\", expect_size=\"30281728\"] \n  34 -> 35 [size =\"30281728\"]\n  35 [size=\"84139520\", alpha=\"0.02\", expect_size=\"33655808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21775360\", alpha=\"0.13\", expect_size=\"8710144\"] \n  1 -> 16 [size =\"8710144\"]\n  2 [size=\"106552320\", alpha=\"0.11\", expect_size=\"42620928\"] \n  2 -> 14 [size =\"42620928\"]\n  2 -> 16 [size =\"42620928\"]\n  2 -> 17 [size =\"42620928\"]\n  3 [size=\"19394560\", alpha=\"0.15\", expect_size=\"7757824\"] \n  3 -> 15 [size =\"7757824\"]\n  3 -> 17 [size =\"7757824\"]\n  3 -> 20 [size =\"7757824\"]\n  4 [size=\"59898880\", alpha=\"0.07\", expect_size=\"23959552\"] \n  4 -> 17 [size =\"23959552\"]\n  4 -> 17 [size =\"23959552\"]\n  4 -> 20 [size =\"23959552\"]\n  5 [size=\"57679360\", alpha=\"0.16\", expect_size=\"23071744\"] \n  5 -> 14 [size =\"23071744\"]\n  5 -> 15 [size =\"23071744\"]\n  5 -> 16 [size =\"23071744\"]\n  5 -> 18 [size =\"23071744\"]\n  5 -> 21 [size =\"23071744\"]\n  6 [size=\"52462080\", alpha=\"0.04\", expect_size=\"20984832\"] \n  6 -> 14 [size =\"20984832\"]\n  6 -> 16 [size =\"20984832\"]\n  6 -> 16 [size =\"20984832\"]\n  6 -> 19 [size =\"20984832\"]\n  7 [size=\"40967680\", alpha=\"0.07\", expect_size=\"16387072\"] \n  7 -> 15 [size =\"16387072\"]\n  7 -> 18 [size =\"16387072\"]\n  7 -> 19 [size =\"16387072\"]\n  8 [size=\"71667200\", alpha=\"0.09\", expect_size=\"28666880\"] \n  8 -> 20 [size =\"28666880\"]\n  9 [size=\"19832320\", alpha=\"0.12\", expect_size=\"7932928\"] \n  9 -> 15 [size =\"7932928\"]\n  9 -> 17 [size =\"7932928\"]\n  9 -> 20 [size =\"7932928\"]\n  10 [size=\"102986240\", alpha=\"0.19\", expect_size=\"41194496\"] \n  10 -> 16 [size =\"41194496\"]\n  10 -> 17 [size =\"41194496\"]\n  10 -> 19 [size =\"41194496\"]\n  10 -> 20 [size =\"41194496\"]\n  11 [size=\"108963840\", alpha=\"0.13\", expect_size=\"43585536\"] \n  12 [size=\"70474240\", alpha=\"0.07\", expect_size=\"28189696\"] \n  12 -> 14 [size =\"28189696\"]\n  12 -> 16 [size =\"28189696\"]\n  12 -> 21 [size =\"28189696\"]\n  13 [size=\"20131840\", alpha=\"0.12\", expect_size=\"8052736\"] \n  13 -> 19 [size =\"8052736\"]\n  14 [size=\"108648960\", alpha=\"0.15\", expect_size=\"43459584\"] \n  14 -> 24 [size =\"43459584\"]\n  14 -> 25 [size =\"43459584\"]\n  14 -> 26 [size =\"43459584\"]\n  14 -> 30 [size =\"43459584\"]\n  14 -> 30 [size =\"43459584\"]\n  14 -> 32 [size =\"43459584\"]\n  15 [size=\"31393280\", alpha=\"0.09\", expect_size=\"12557312\"] \n  15 -> 23 [size =\"12557312\"]\n  15 -> 25 [size =\"12557312\"]\n  15 -> 26 [size =\"12557312\"]\n  15 -> 30 [size =\"12557312\"]\n  16 [size=\"126328320\", alpha=\"0.15\", expect_size=\"50531328\"] \n  16 -> 22 [size =\"50531328\"]\n  16 -> 23 [size =\"50531328\"]\n  16 -> 25 [size =\"50531328\"]\n  16 -> 29 [size =\"50531328\"]\n  16 -> 30 [size =\"50531328\"]\n  16 -> 31 [size =\"50531328\"]\n  17 [size=\"33274880\", alpha=\"0.14\", expect_size=\"13309952\"] \n  17 -> 23 [size =\"13309952\"]\n  17 -> 25 [size =\"13309952\"]\n  17 -> 26 [size =\"13309952\"]\n  17 -> 28 [size =\"13309952\"]\n  18 [size=\"76733440\", alpha=\"0.08\", expect_size=\"30693376\"] \n  18 -> 25 [size =\"30693376\"]\n  18 -> 27 [size =\"30693376\"]\n  18 -> 28 [size =\"30693376\"]\n  18 -> 31 [size =\"30693376\"]\n  19 [size=\"128545280\", alpha=\"0.19\", expect_size=\"51418112\"] \n  19 -> 23 [size =\"51418112\"]\n  19 -> 27 [size =\"51418112\"]\n  19 -> 28 [size =\"51418112\"]\n  19 -> 31 [size =\"51418112\"]\n  19 -> 32 [size =\"51418112\"]\n  20 [size=\"81134080\", alpha=\"0.12\", expect_size=\"32453632\"] \n  20 -> 22 [size =\"32453632\"]\n  20 -> 24 [size =\"32453632\"]\n  21 [size=\"77811200\", alpha=\"0.05\", expect_size=\"31124480\"] \n  21 -> 22 [size =\"31124480\"]\n  21 -> 24 [size =\"31124480\"]\n  21 -> 26 [size =\"31124480\"]\n  21 -> 28 [size =\"31124480\"]\n  21 -> 30 [size =\"31124480\"]\n  21 -> 31 [size =\"31124480\"]\n  22 [size=\"36062720\", alpha=\"0.15\", expect_size=\"14425088\"] \n  23 [size=\"78307840\", alpha=\"0.06\", expect_size=\"31323136\"] \n  23 -> 33 [size =\"31323136\"]\n  23 -> 35 [size =\"31323136\"]\n  24 [size=\"33123840\", alpha=\"0.04\", expect_size=\"13249536\"] \n  25 [size=\"119685120\", alpha=\"0.10\", expect_size=\"47874048\"] \n  25 -> 34 [size =\"47874048\"]\n  26 [size=\"53560320\", alpha=\"0.03\", expect_size=\"21424128\"] \n  26 -> 35 [size =\"21424128\"]\n  27 [size=\"25930240\", alpha=\"0.01\", expect_size=\"10372096\"] \n  28 [size=\"105984000\", alpha=\"0.08\", expect_size=\"42393600\"] \n  28 -> 35 [size =\"42393600\"]\n  29 [size=\"32696320\", alpha=\"0.17\", expect_size=\"13078528\"] \n  30 [size=\"27980800\", alpha=\"0.01\", expect_size=\"11192320\"] \n  30 -> 33 [size =\"11192320\"]\n  30 -> 35 [size =\"11192320\"]\n  31 [size=\"95820800\", alpha=\"0.01\", expect_size=\"38328320\"] \n  31 -> 35 [size =\"38328320\"]\n  32 [size=\"126919680\", alpha=\"0.11\", expect_size=\"50767872\"] \n  32 -> 33 [size =\"50767872\"]\n  33 [size=\"96757760\", alpha=\"0.02\", expect_size=\"38703104\"] \n  34 [size=\"129589760\", alpha=\"0.09\", expect_size=\"51835904\"] \n  35 [size=\"36280320\", alpha=\"0.19\", expect_size=\"14512128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128791040\", alpha=\"0.19\", expect_size=\"51516416\"] \n  1 -> 31 [size =\"51516416\"]\n  1 -> 32 [size =\"51516416\"]\n  1 -> 34 [size =\"51516416\"]\n  2 [size=\"85975040\", alpha=\"0.18\", expect_size=\"34390016\"] \n  2 -> 31 [size =\"34390016\"]\n  2 -> 32 [size =\"34390016\"]\n  2 -> 34 [size =\"34390016\"]\n  2 -> 35 [size =\"34390016\"]\n  3 [size=\"110420480\", alpha=\"0.01\", expect_size=\"44168192\"] \n  3 -> 31 [size =\"44168192\"]\n  3 -> 32 [size =\"44168192\"]\n  3 -> 34 [size =\"44168192\"]\n  4 [size=\"23101440\", alpha=\"0.00\", expect_size=\"9240576\"] \n  4 -> 31 [size =\"9240576\"]\n  4 -> 32 [size =\"9240576\"]\n  4 -> 34 [size =\"9240576\"]\n  5 [size=\"25164800\", alpha=\"0.15\", expect_size=\"10065920\"] \n  5 -> 31 [size =\"10065920\"]\n  5 -> 32 [size =\"10065920\"]\n  5 -> 33 [size =\"10065920\"]\n  5 -> 34 [size =\"10065920\"]\n  6 [size=\"41016320\", alpha=\"0.03\", expect_size=\"16406528\"] \n  6 -> 31 [size =\"16406528\"]\n  6 -> 32 [size =\"16406528\"]\n  6 -> 34 [size =\"16406528\"]\n  6 -> 34 [size =\"16406528\"]\n  6 -> 35 [size =\"16406528\"]\n  7 [size=\"68971520\", alpha=\"0.13\", expect_size=\"27588608\"] \n  7 -> 32 [size =\"27588608\"]\n  7 -> 34 [size =\"27588608\"]\n  7 -> 34 [size =\"27588608\"]\n  7 -> 35 [size =\"27588608\"]\n  8 [size=\"90703360\", alpha=\"0.19\", expect_size=\"36281344\"] \n  8 -> 31 [size =\"36281344\"]\n  8 -> 32 [size =\"36281344\"]\n  8 -> 34 [size =\"36281344\"]\n  9 [size=\"27568640\", alpha=\"0.15\", expect_size=\"11027456\"] \n  9 -> 32 [size =\"11027456\"]\n  9 -> 34 [size =\"11027456\"]\n  10 [size=\"38138880\", alpha=\"0.13\", expect_size=\"15255552\"] \n  10 -> 34 [size =\"15255552\"]\n  11 [size=\"80642560\", alpha=\"0.17\", expect_size=\"32257024\"] \n  11 -> 34 [size =\"32257024\"]\n  12 [size=\"73809920\", alpha=\"0.15\", expect_size=\"29523968\"] \n  12 -> 31 [size =\"29523968\"]\n  13 [size=\"60006400\", alpha=\"0.10\", expect_size=\"24002560\"] \n  13 -> 32 [size =\"24002560\"]\n  14 [size=\"68656640\", alpha=\"0.01\", expect_size=\"27462656\"] \n  14 -> 31 [size =\"27462656\"]\n  14 -> 32 [size =\"27462656\"]\n  14 -> 34 [size =\"27462656\"]\n  15 [size=\"68861440\", alpha=\"0.17\", expect_size=\"27544576\"] \n  15 -> 32 [size =\"27544576\"]\n  15 -> 34 [size =\"27544576\"]\n  16 [size=\"38568960\", alpha=\"0.01\", expect_size=\"15427584\"] \n  16 -> 32 [size =\"15427584\"]\n  16 -> 34 [size =\"15427584\"]\n  17 [size=\"57469440\", alpha=\"0.17\", expect_size=\"22987776\"] \n  17 -> 32 [size =\"22987776\"]\n  18 [size=\"15685120\", alpha=\"0.14\", expect_size=\"6274048\"] \n  18 -> 31 [size =\"6274048\"]\n  18 -> 33 [size =\"6274048\"]\n  19 [size=\"128970240\", alpha=\"0.01\", expect_size=\"51588096\"] \n  19 -> 31 [size =\"51588096\"]\n  19 -> 32 [size =\"51588096\"]\n  19 -> 33 [size =\"51588096\"]\n  19 -> 34 [size =\"51588096\"]\n  20 [size=\"99363840\", alpha=\"0.08\", expect_size=\"39745536\"] \n  20 -> 31 [size =\"39745536\"]\n  20 -> 32 [size =\"39745536\"]\n  20 -> 34 [size =\"39745536\"]\n  21 [size=\"60751360\", alpha=\"0.14\", expect_size=\"24300544\"] \n  21 -> 31 [size =\"24300544\"]\n  21 -> 32 [size =\"24300544\"]\n  21 -> 34 [size =\"24300544\"]\n  22 [size=\"44951040\", alpha=\"0.13\", expect_size=\"17980416\"] \n  22 -> 31 [size =\"17980416\"]\n  22 -> 32 [size =\"17980416\"]\n  22 -> 34 [size =\"17980416\"]\n  23 [size=\"17216000\", alpha=\"0.08\", expect_size=\"6886400\"] \n  23 -> 31 [size =\"6886400\"]\n  23 -> 32 [size =\"6886400\"]\n  23 -> 33 [size =\"6886400\"]\n  24 [size=\"77514240\", alpha=\"0.05\", expect_size=\"31005696\"] \n  24 -> 32 [size =\"31005696\"]\n  24 -> 32 [size =\"31005696\"]\n  24 -> 33 [size =\"31005696\"]\n  25 [size=\"85614080\", alpha=\"0.04\", expect_size=\"34245632\"] \n  25 -> 32 [size =\"34245632\"]\n  25 -> 33 [size =\"34245632\"]\n  25 -> 34 [size =\"34245632\"]\n  26 [size=\"66549760\", alpha=\"0.08\", expect_size=\"26619904\"] \n  26 -> 31 [size =\"26619904\"]\n  26 -> 32 [size =\"26619904\"]\n  26 -> 34 [size =\"26619904\"]\n  27 [size=\"70801920\", alpha=\"0.01\", expect_size=\"28320768\"] \n  27 -> 31 [size =\"28320768\"]\n  27 -> 32 [size =\"28320768\"]\n  27 -> 33 [size =\"28320768\"]\n  27 -> 34 [size =\"28320768\"]\n  28 [size=\"54684160\", alpha=\"0.08\", expect_size=\"21873664\"] \n  28 -> 31 [size =\"21873664\"]\n  28 -> 32 [size =\"21873664\"]\n  28 -> 34 [size =\"21873664\"]\n  28 -> 34 [size =\"21873664\"]\n  29 [size=\"19289600\", alpha=\"0.17\", expect_size=\"7715840\"] \n  29 -> 31 [size =\"7715840\"]\n  29 -> 33 [size =\"7715840\"]\n  29 -> 34 [size =\"7715840\"]\n  30 [size=\"24084480\", alpha=\"0.10\", expect_size=\"9633792\"] \n  30 -> 31 [size =\"9633792\"]\n  30 -> 32 [size =\"9633792\"]\n  30 -> 34 [size =\"9633792\"]\n  31 [size=\"69242880\", alpha=\"0.14\", expect_size=\"27697152\"] \n  32 [size=\"34524160\", alpha=\"0.09\", expect_size=\"13809664\"] \n  33 [size=\"110758400\", alpha=\"0.12\", expect_size=\"44303360\"] \n  34 [size=\"41367040\", alpha=\"0.04\", expect_size=\"16546816\"] \n  35 [size=\"72276480\", alpha=\"0.06\", expect_size=\"28910592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30320640\", alpha=\"0.16\", expect_size=\"9096192\"] \n  1 -> 19 [size =\"9096192\"]\n  1 -> 21 [size =\"9096192\"]\n  1 -> 22 [size =\"9096192\"]\n  1 -> 25 [size =\"9096192\"]\n  1 -> 26 [size =\"9096192\"]\n  1 -> 34 [size =\"9096192\"]\n  2 [size=\"26002773\", alpha=\"0.09\", expect_size=\"7800832\"] \n  2 -> 21 [size =\"7800832\"]\n  2 -> 21 [size =\"7800832\"]\n  2 -> 22 [size =\"7800832\"]\n  2 -> 25 [size =\"7800832\"]\n  2 -> 26 [size =\"7800832\"]\n  2 -> 30 [size =\"7800832\"]\n  2 -> 33 [size =\"7800832\"]\n  2 -> 34 [size =\"7800832\"]\n  3 [size=\"163717120\", alpha=\"0.02\", expect_size=\"49115136\"] \n  3 -> 22 [size =\"49115136\"]\n  3 -> 23 [size =\"49115136\"]\n  3 -> 24 [size =\"49115136\"]\n  3 -> 26 [size =\"49115136\"]\n  3 -> 26 [size =\"49115136\"]\n  3 -> 30 [size =\"49115136\"]\n  3 -> 31 [size =\"49115136\"]\n  4 [size=\"80578560\", alpha=\"0.12\", expect_size=\"24173568\"] \n  4 -> 24 [size =\"24173568\"]\n  4 -> 25 [size =\"24173568\"]\n  4 -> 26 [size =\"24173568\"]\n  4 -> 26 [size =\"24173568\"]\n  4 -> 29 [size =\"24173568\"]\n  4 -> 30 [size =\"24173568\"]\n  4 -> 31 [size =\"24173568\"]\n  4 -> 34 [size =\"24173568\"]\n  4 -> 35 [size =\"24173568\"]\n  5 [size=\"29542400\", alpha=\"0.12\", expect_size=\"8862720\"] \n  5 -> 20 [size =\"8862720\"]\n  5 -> 24 [size =\"8862720\"]\n  5 -> 25 [size =\"8862720\"]\n  5 -> 26 [size =\"8862720\"]\n  5 -> 29 [size =\"8862720\"]\n  5 -> 30 [size =\"8862720\"]\n  5 -> 31 [size =\"8862720\"]\n  5 -> 32 [size =\"8862720\"]\n  5 -> 34 [size =\"8862720\"]\n  5 -> 35 [size =\"8862720\"]\n  6 [size=\"136195413\", alpha=\"0.19\", expect_size=\"40858624\"] \n  6 -> 21 [size =\"40858624\"]\n  6 -> 24 [size =\"40858624\"]\n  6 -> 26 [size =\"40858624\"]\n  6 -> 28 [size =\"40858624\"]\n  6 -> 29 [size =\"40858624\"]\n  6 -> 30 [size =\"40858624\"]\n  6 -> 31 [size =\"40858624\"]\n  6 -> 35 [size =\"40858624\"]\n  7 [size=\"34150400\", alpha=\"0.11\", expect_size=\"10245120\"] \n  7 -> 20 [size =\"10245120\"]\n  7 -> 21 [size =\"10245120\"]\n  7 -> 22 [size =\"10245120\"]\n  7 -> 25 [size =\"10245120\"]\n  7 -> 29 [size =\"10245120\"]\n  7 -> 31 [size =\"10245120\"]\n  7 -> 35 [size =\"10245120\"]\n  8 [size=\"156750507\", alpha=\"0.18\", expect_size=\"47025152\"] \n  8 -> 19 [size =\"47025152\"]\n  8 -> 20 [size =\"47025152\"]\n  8 -> 22 [size =\"47025152\"]\n  8 -> 24 [size =\"47025152\"]\n  8 -> 30 [size =\"47025152\"]\n  8 -> 31 [size =\"47025152\"]\n  8 -> 35 [size =\"47025152\"]\n  9 [size=\"100034560\", alpha=\"0.18\", expect_size=\"30010368\"] \n  9 -> 20 [size =\"30010368\"]\n  9 -> 21 [size =\"30010368\"]\n  9 -> 22 [size =\"30010368\"]\n  9 -> 26 [size =\"30010368\"]\n  9 -> 30 [size =\"30010368\"]\n  9 -> 31 [size =\"30010368\"]\n  9 -> 32 [size =\"30010368\"]\n  10 [size=\"67727360\", alpha=\"0.01\", expect_size=\"20318208\"] \n  10 -> 19 [size =\"20318208\"]\n  10 -> 21 [size =\"20318208\"]\n  10 -> 22 [size =\"20318208\"]\n  10 -> 25 [size =\"20318208\"]\n  10 -> 26 [size =\"20318208\"]\n  10 -> 29 [size =\"20318208\"]\n  10 -> 30 [size =\"20318208\"]\n  10 -> 33 [size =\"20318208\"]\n  11 [size=\"96467627\", alpha=\"0.08\", expect_size=\"28940288\"] \n  11 -> 19 [size =\"28940288\"]\n  11 -> 27 [size =\"28940288\"]\n  11 -> 29 [size =\"28940288\"]\n  11 -> 30 [size =\"28940288\"]\n  11 -> 35 [size =\"28940288\"]\n  12 [size=\"65918293\", alpha=\"0.10\", expect_size=\"19775488\"] \n  12 -> 21 [size =\"19775488\"]\n  12 -> 24 [size =\"19775488\"]\n  12 -> 25 [size =\"19775488\"]\n  12 -> 26 [size =\"19775488\"]\n  12 -> 27 [size =\"19775488\"]\n  12 -> 29 [size =\"19775488\"]\n  12 -> 30 [size =\"19775488\"]\n  13 [size=\"139506347\", alpha=\"0.18\", expect_size=\"41851904\"] \n  13 -> 20 [size =\"41851904\"]\n  13 -> 21 [size =\"41851904\"]\n  13 -> 22 [size =\"41851904\"]\n  13 -> 24 [size =\"41851904\"]\n  13 -> 25 [size =\"41851904\"]\n  13 -> 26 [size =\"41851904\"]\n  13 -> 28 [size =\"41851904\"]\n  13 -> 29 [size =\"41851904\"]\n  13 -> 30 [size =\"41851904\"]\n  13 -> 31 [size =\"41851904\"]\n  14 [size=\"153067520\", alpha=\"0.15\", expect_size=\"45920256\"] \n  14 -> 20 [size =\"45920256\"]\n  14 -> 22 [size =\"45920256\"]\n  14 -> 22 [size =\"45920256\"]\n  14 -> 24 [size =\"45920256\"]\n  14 -> 26 [size =\"45920256\"]\n  14 -> 30 [size =\"45920256\"]\n  14 -> 31 [size =\"45920256\"]\n  15 [size=\"89862827\", alpha=\"0.09\", expect_size=\"26958848\"] \n  15 -> 19 [size =\"26958848\"]\n  15 -> 22 [size =\"26958848\"]\n  15 -> 24 [size =\"26958848\"]\n  15 -> 24 [size =\"26958848\"]\n  15 -> 25 [size =\"26958848\"]\n  15 -> 26 [size =\"26958848\"]\n  15 -> 31 [size =\"26958848\"]\n  16 [size=\"26637653\", alpha=\"0.10\", expect_size=\"7991296\"] \n  16 -> 19 [size =\"7991296\"]\n  16 -> 20 [size =\"7991296\"]\n  16 -> 24 [size =\"7991296\"]\n  16 -> 26 [size =\"7991296\"]\n  16 -> 30 [size =\"7991296\"]\n  16 -> 31 [size =\"7991296\"]\n  16 -> 31 [size =\"7991296\"]\n  17 [size=\"22551893\", alpha=\"0.09\", expect_size=\"6765568\"] \n  17 -> 19 [size =\"6765568\"]\n  17 -> 21 [size =\"6765568\"]\n  17 -> 22 [size =\"6765568\"]\n  17 -> 24 [size =\"6765568\"]\n  17 -> 25 [size =\"6765568\"]\n  17 -> 26 [size =\"6765568\"]\n  17 -> 30 [size =\"6765568\"]\n  17 -> 31 [size =\"6765568\"]\n  18 [size=\"107451733\", alpha=\"0.15\", expect_size=\"32235520\"] \n  18 -> 19 [size =\"32235520\"]\n  18 -> 22 [size =\"32235520\"]\n  18 -> 22 [size =\"32235520\"]\n  18 -> 26 [size =\"32235520\"]\n  18 -> 29 [size =\"32235520\"]\n  18 -> 30 [size =\"32235520\"]\n  18 -> 31 [size =\"32235520\"]\n  18 -> 34 [size =\"32235520\"]\n  19 [size=\"92535467\", alpha=\"0.09\", expect_size=\"27760640\"] \n  20 [size=\"79595520\", alpha=\"0.20\", expect_size=\"23878656\"] \n  21 [size=\"88251733\", alpha=\"0.13\", expect_size=\"26475520\"] \n  22 [size=\"148780373\", alpha=\"0.06\", expect_size=\"44634112\"] \n  23 [size=\"70314667\", alpha=\"0.19\", expect_size=\"21094400\"] \n  24 [size=\"56357547\", alpha=\"0.19\", expect_size=\"16907264\"] \n  25 [size=\"19350187\", alpha=\"0.01\", expect_size=\"5805056\"] \n  26 [size=\"89449813\", alpha=\"0.18\", expect_size=\"26834944\"] \n  27 [size=\"171264000\", alpha=\"0.17\", expect_size=\"51379200\"] \n  28 [size=\"83872427\", alpha=\"0.14\", expect_size=\"25161728\"] \n  29 [size=\"40802987\", alpha=\"0.02\", expect_size=\"12240896\"] \n  30 [size=\"110161920\", alpha=\"0.15\", expect_size=\"33048576\"] \n  31 [size=\"109346133\", alpha=\"0.19\", expect_size=\"32803840\"] \n  32 [size=\"51196587\", alpha=\"0.09\", expect_size=\"15358976\"] \n  33 [size=\"101526187\", alpha=\"0.15\", expect_size=\"30457856\"] \n  34 [size=\"92009813\", alpha=\"0.17\", expect_size=\"27602944\"] \n  35 [size=\"85749760\", alpha=\"0.09\", expect_size=\"25724928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59957248\", alpha=\"0.02\", expect_size=\"29978624\"] \n  1 -> 6 [size =\"29978624\"]\n  1 -> 8 [size =\"29978624\"]\n  1 -> 10 [size =\"29978624\"]\n  1 -> 11 [size =\"29978624\"]\n  2 [size=\"59148288\", alpha=\"0.03\", expect_size=\"29574144\"] \n  2 -> 6 [size =\"29574144\"]\n  2 -> 7 [size =\"29574144\"]\n  2 -> 8 [size =\"29574144\"]\n  2 -> 11 [size =\"29574144\"]\n  3 [size=\"56612864\", alpha=\"0.09\", expect_size=\"28306432\"] \n  3 -> 7 [size =\"28306432\"]\n  3 -> 8 [size =\"28306432\"]\n  3 -> 11 [size =\"28306432\"]\n  4 [size=\"27504640\", alpha=\"0.02\", expect_size=\"13752320\"] \n  4 -> 9 [size =\"13752320\"]\n  4 -> 10 [size =\"13752320\"]\n  5 [size=\"11192320\", alpha=\"0.11\", expect_size=\"5596160\"] \n  5 -> 6 [size =\"5596160\"]\n  5 -> 8 [size =\"5596160\"]\n  5 -> 9 [size =\"5596160\"]\n  5 -> 11 [size =\"5596160\"]\n  6 [size=\"69603328\", alpha=\"0.12\", expect_size=\"34801664\"] \n  7 [size=\"19980288\", alpha=\"0.00\", expect_size=\"9990144\"] \n  7 -> 13 [size =\"9990144\"]\n  7 -> 14 [size =\"9990144\"]\n  8 [size=\"58439680\", alpha=\"0.14\", expect_size=\"29219840\"] \n  8 -> 14 [size =\"29219840\"]\n  9 [size=\"46270464\", alpha=\"0.09\", expect_size=\"23135232\"] \n  9 -> 13 [size =\"23135232\"]\n  10 [size=\"91432960\", alpha=\"0.09\", expect_size=\"45716480\"] \n  10 -> 12 [size =\"45716480\"]\n  10 -> 13 [size =\"45716480\"]\n  11 [size=\"50157568\", alpha=\"0.09\", expect_size=\"25078784\"] \n  11 -> 12 [size =\"25078784\"]\n  11 -> 13 [size =\"25078784\"]\n  12 [size=\"58941440\", alpha=\"0.06\", expect_size=\"29470720\"] \n  12 -> 15 [size =\"29470720\"]\n  12 -> 19 [size =\"29470720\"]\n  13 [size=\"74690560\", alpha=\"0.19\", expect_size=\"37345280\"] \n  13 -> 15 [size =\"37345280\"]\n  13 -> 16 [size =\"37345280\"]\n  13 -> 17 [size =\"37345280\"]\n  13 -> 18 [size =\"37345280\"]\n  14 [size=\"21057536\", alpha=\"0.14\", expect_size=\"10528768\"] \n  14 -> 16 [size =\"10528768\"]\n  14 -> 17 [size =\"10528768\"]\n  14 -> 18 [size =\"10528768\"]\n  15 [size=\"31778816\", alpha=\"0.17\", expect_size=\"15889408\"] \n  15 -> 22 [size =\"15889408\"]\n  16 [size=\"84453376\", alpha=\"0.14\", expect_size=\"42226688\"] \n  16 -> 22 [size =\"42226688\"]\n  17 [size=\"44500992\", alpha=\"0.13\", expect_size=\"22250496\"] \n  17 -> 21 [size =\"22250496\"]\n  17 -> 22 [size =\"22250496\"]\n  17 -> 23 [size =\"22250496\"]\n  18 [size=\"44920832\", alpha=\"0.03\", expect_size=\"22460416\"] \n  18 -> 20 [size =\"22460416\"]\n  18 -> 21 [size =\"22460416\"]\n  18 -> 23 [size =\"22460416\"]\n  19 [size=\"15607808\", alpha=\"0.13\", expect_size=\"7803904\"] \n  19 -> 20 [size =\"7803904\"]\n  19 -> 23 [size =\"7803904\"]\n  20 [size=\"58439680\", alpha=\"0.15\", expect_size=\"29219840\"] \n  20 -> 25 [size =\"29219840\"]\n  20 -> 26 [size =\"29219840\"]\n  20 -> 28 [size =\"29219840\"]\n  21 [size=\"102811648\", alpha=\"0.07\", expect_size=\"51405824\"] \n  21 -> 26 [size =\"51405824\"]\n  22 [size=\"51554304\", alpha=\"0.10\", expect_size=\"25777152\"] \n  22 -> 24 [size =\"25777152\"]\n  22 -> 28 [size =\"25777152\"]\n  23 [size=\"79450112\", alpha=\"0.02\", expect_size=\"39725056\"] \n  23 -> 27 [size =\"39725056\"]\n  24 [size=\"75161600\", alpha=\"0.18\", expect_size=\"37580800\"] \n  24 -> 29 [size =\"37580800\"]\n  25 [size=\"44531712\", alpha=\"0.14\", expect_size=\"22265856\"] \n  25 -> 29 [size =\"22265856\"]\n  26 [size=\"31080448\", alpha=\"0.03\", expect_size=\"15540224\"] \n  26 -> 30 [size =\"15540224\"]\n  27 [size=\"98539520\", alpha=\"0.14\", expect_size=\"49269760\"] \n  27 -> 29 [size =\"49269760\"]\n  27 -> 30 [size =\"49269760\"]\n  28 [size=\"67350528\", alpha=\"0.15\", expect_size=\"33675264\"] \n  28 -> 29 [size =\"33675264\"]\n  28 -> 31 [size =\"33675264\"]\n  29 [size=\"81891328\", alpha=\"0.03\", expect_size=\"40945664\"] \n  29 -> 32 [size =\"40945664\"]\n  29 -> 33 [size =\"40945664\"]\n  30 [size=\"50716672\", alpha=\"0.08\", expect_size=\"25358336\"] \n  30 -> 34 [size =\"25358336\"]\n  30 -> 35 [size =\"25358336\"]\n  31 [size=\"27920384\", alpha=\"0.02\", expect_size=\"13960192\"] \n  31 -> 32 [size =\"13960192\"]\n  31 -> 33 [size =\"13960192\"]\n  31 -> 35 [size =\"13960192\"]\n  32 [size=\"62976000\", alpha=\"0.07\", expect_size=\"31488000\"] \n  33 [size=\"15804416\", alpha=\"0.04\", expect_size=\"7902208\"] \n  34 [size=\"26904576\", alpha=\"0.05\", expect_size=\"13452288\"] \n  35 [size=\"18923520\", alpha=\"0.09\", expect_size=\"9461760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73721856\", alpha=\"0.16\", expect_size=\"36860928\"] \n  1 -> 2 [size =\"36860928\"]\n  2 [size=\"32688128\", alpha=\"0.08\", expect_size=\"16344064\"] \n  2 -> 3 [size =\"16344064\"]\n  3 [size=\"43413504\", alpha=\"0.11\", expect_size=\"21706752\"] \n  3 -> 4 [size =\"21706752\"]\n  4 [size=\"63383552\", alpha=\"0.03\", expect_size=\"31691776\"] \n  4 -> 5 [size =\"31691776\"]\n  5 [size=\"60815360\", alpha=\"0.13\", expect_size=\"30407680\"] \n  5 -> 6 [size =\"30407680\"]\n  6 [size=\"43001856\", alpha=\"0.14\", expect_size=\"21500928\"] \n  6 -> 7 [size =\"21500928\"]\n  7 [size=\"39337984\", alpha=\"0.19\", expect_size=\"19668992\"] \n  7 -> 8 [size =\"19668992\"]\n  8 [size=\"75409408\", alpha=\"0.11\", expect_size=\"37704704\"] \n  8 -> 9 [size =\"37704704\"]\n  9 [size=\"87148544\", alpha=\"0.07\", expect_size=\"43574272\"] \n  9 -> 10 [size =\"43574272\"]\n  10 [size=\"38273024\", alpha=\"0.18\", expect_size=\"19136512\"] \n  10 -> 11 [size =\"19136512\"]\n  11 [size=\"81352704\", alpha=\"0.08\", expect_size=\"40676352\"] \n  11 -> 12 [size =\"40676352\"]\n  12 [size=\"62484480\", alpha=\"0.19\", expect_size=\"31242240\"] \n  12 -> 13 [size =\"31242240\"]\n  13 [size=\"98897920\", alpha=\"0.15\", expect_size=\"49448960\"] \n  13 -> 14 [size =\"49448960\"]\n  14 [size=\"56389632\", alpha=\"0.12\", expect_size=\"28194816\"] \n  14 -> 15 [size =\"28194816\"]\n  15 [size=\"71399424\", alpha=\"0.15\", expect_size=\"35699712\"] \n  15 -> 16 [size =\"35699712\"]\n  16 [size=\"36605952\", alpha=\"0.13\", expect_size=\"18302976\"] \n  16 -> 17 [size =\"18302976\"]\n  17 [size=\"100573184\", alpha=\"0.05\", expect_size=\"50286592\"] \n  17 -> 18 [size =\"50286592\"]\n  18 [size=\"94509056\", alpha=\"0.06\", expect_size=\"47254528\"] \n  18 -> 19 [size =\"47254528\"]\n  19 [size=\"53192704\", alpha=\"0.06\", expect_size=\"26596352\"] \n  19 -> 20 [size =\"26596352\"]\n  20 [size=\"88414208\", alpha=\"0.16\", expect_size=\"44207104\"] \n  20 -> 21 [size =\"44207104\"]\n  21 [size=\"76771328\", alpha=\"0.20\", expect_size=\"38385664\"] \n  21 -> 22 [size =\"38385664\"]\n  22 [size=\"18495488\", alpha=\"0.08\", expect_size=\"9247744\"] \n  22 -> 23 [size =\"9247744\"]\n  23 [size=\"12564480\", alpha=\"0.03\", expect_size=\"6282240\"] \n  23 -> 24 [size =\"6282240\"]\n  24 [size=\"81125376\", alpha=\"0.10\", expect_size=\"40562688\"] \n  24 -> 25 [size =\"40562688\"]\n  25 [size=\"42190848\", alpha=\"0.07\", expect_size=\"21095424\"] \n  25 -> 26 [size =\"21095424\"]\n  26 [size=\"18202624\", alpha=\"0.11\", expect_size=\"9101312\"] \n  26 -> 27 [size =\"9101312\"]\n  27 [size=\"81598464\", alpha=\"0.01\", expect_size=\"40799232\"] \n  27 -> 28 [size =\"40799232\"]\n  28 [size=\"104781824\", alpha=\"0.05\", expect_size=\"52390912\"] \n  28 -> 29 [size =\"52390912\"]\n  29 [size=\"37595136\", alpha=\"0.05\", expect_size=\"18797568\"] \n  29 -> 30 [size =\"18797568\"]\n  30 [size=\"66498560\", alpha=\"0.11\", expect_size=\"33249280\"] \n  30 -> 31 [size =\"33249280\"]\n  31 [size=\"48992256\", alpha=\"0.12\", expect_size=\"24496128\"] \n  31 -> 32 [size =\"24496128\"]\n  32 [size=\"48312320\", alpha=\"0.04\", expect_size=\"24156160\"] \n  32 -> 33 [size =\"24156160\"]\n  33 [size=\"86667264\", alpha=\"0.15\", expect_size=\"43333632\"] \n  33 -> 34 [size =\"43333632\"]\n  34 [size=\"102608896\", alpha=\"0.16\", expect_size=\"51304448\"] \n  34 -> 35 [size =\"51304448\"]\n  35 [size=\"54665216\", alpha=\"0.09\", expect_size=\"27332608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106629120\", alpha=\"0.01\", expect_size=\"42651648\"] \n  1 -> 25 [size =\"42651648\"]\n  1 -> 31 [size =\"42651648\"]\n  1 -> 33 [size =\"42651648\"]\n  1 -> 35 [size =\"42651648\"]\n  2 [size=\"64798720\", alpha=\"0.03\", expect_size=\"25919488\"] \n  2 -> 22 [size =\"25919488\"]\n  2 -> 25 [size =\"25919488\"]\n  2 -> 27 [size =\"25919488\"]\n  2 -> 31 [size =\"25919488\"]\n  2 -> 32 [size =\"25919488\"]\n  2 -> 33 [size =\"25919488\"]\n  2 -> 34 [size =\"25919488\"]\n  3 [size=\"31109120\", alpha=\"0.02\", expect_size=\"12443648\"] \n  3 -> 26 [size =\"12443648\"]\n  3 -> 28 [size =\"12443648\"]\n  3 -> 29 [size =\"12443648\"]\n  3 -> 31 [size =\"12443648\"]\n  3 -> 34 [size =\"12443648\"]\n  4 [size=\"18987520\", alpha=\"0.16\", expect_size=\"7595008\"] \n  4 -> 23 [size =\"7595008\"]\n  4 -> 26 [size =\"7595008\"]\n  4 -> 29 [size =\"7595008\"]\n  4 -> 31 [size =\"7595008\"]\n  4 -> 32 [size =\"7595008\"]\n  4 -> 33 [size =\"7595008\"]\n  4 -> 34 [size =\"7595008\"]\n  5 [size=\"18344960\", alpha=\"0.16\", expect_size=\"7337984\"] \n  5 -> 26 [size =\"7337984\"]\n  5 -> 26 [size =\"7337984\"]\n  5 -> 30 [size =\"7337984\"]\n  5 -> 31 [size =\"7337984\"]\n  5 -> 33 [size =\"7337984\"]\n  5 -> 34 [size =\"7337984\"]\n  5 -> 35 [size =\"7337984\"]\n  6 [size=\"50063360\", alpha=\"0.12\", expect_size=\"20025344\"] \n  6 -> 26 [size =\"20025344\"]\n  6 -> 28 [size =\"20025344\"]\n  6 -> 29 [size =\"20025344\"]\n  6 -> 32 [size =\"20025344\"]\n  7 [size=\"59942400\", alpha=\"0.17\", expect_size=\"23976960\"] \n  7 -> 25 [size =\"23976960\"]\n  7 -> 28 [size =\"23976960\"]\n  7 -> 31 [size =\"23976960\"]\n  7 -> 33 [size =\"23976960\"]\n  8 [size=\"115924480\", alpha=\"0.06\", expect_size=\"46369792\"] \n  8 -> 22 [size =\"46369792\"]\n  8 -> 28 [size =\"46369792\"]\n  8 -> 31 [size =\"46369792\"]\n  9 [size=\"56227840\", alpha=\"0.06\", expect_size=\"22491136\"] \n  9 -> 25 [size =\"22491136\"]\n  9 -> 35 [size =\"22491136\"]\n  10 [size=\"22100480\", alpha=\"0.07\", expect_size=\"8840192\"] \n  10 -> 27 [size =\"8840192\"]\n  10 -> 34 [size =\"8840192\"]\n  11 [size=\"61575680\", alpha=\"0.19\", expect_size=\"24630272\"] \n  11 -> 28 [size =\"24630272\"]\n  11 -> 29 [size =\"24630272\"]\n  11 -> 31 [size =\"24630272\"]\n  11 -> 32 [size =\"24630272\"]\n  11 -> 33 [size =\"24630272\"]\n  11 -> 34 [size =\"24630272\"]\n  12 [size=\"66439680\", alpha=\"0.00\", expect_size=\"26575872\"] \n  12 -> 26 [size =\"26575872\"]\n  12 -> 30 [size =\"26575872\"]\n  13 [size=\"83781120\", alpha=\"0.15\", expect_size=\"33512448\"] \n  13 -> 22 [size =\"33512448\"]\n  13 -> 25 [size =\"33512448\"]\n  13 -> 30 [size =\"33512448\"]\n  13 -> 34 [size =\"33512448\"]\n  14 [size=\"98257920\", alpha=\"0.04\", expect_size=\"39303168\"] \n  14 -> 25 [size =\"39303168\"]\n  14 -> 31 [size =\"39303168\"]\n  14 -> 32 [size =\"39303168\"]\n  15 [size=\"75066880\", alpha=\"0.15\", expect_size=\"30026752\"] \n  15 -> 22 [size =\"30026752\"]\n  15 -> 24 [size =\"30026752\"]\n  15 -> 26 [size =\"30026752\"]\n  15 -> 30 [size =\"30026752\"]\n  15 -> 35 [size =\"30026752\"]\n  16 [size=\"54072320\", alpha=\"0.02\", expect_size=\"21628928\"] \n  16 -> 22 [size =\"21628928\"]\n  16 -> 30 [size =\"21628928\"]\n  17 [size=\"127014400\", alpha=\"0.05\", expect_size=\"50805760\"] \n  17 -> 27 [size =\"50805760\"]\n  17 -> 29 [size =\"50805760\"]\n  17 -> 30 [size =\"50805760\"]\n  17 -> 32 [size =\"50805760\"]\n  17 -> 33 [size =\"50805760\"]\n  18 [size=\"108986880\", alpha=\"0.18\", expect_size=\"43594752\"] \n  18 -> 30 [size =\"43594752\"]\n  18 -> 33 [size =\"43594752\"]\n  18 -> 34 [size =\"43594752\"]\n  19 [size=\"28492800\", alpha=\"0.18\", expect_size=\"11397120\"] \n  19 -> 25 [size =\"11397120\"]\n  19 -> 31 [size =\"11397120\"]\n  19 -> 34 [size =\"11397120\"]\n  19 -> 35 [size =\"11397120\"]\n  20 [size=\"61760000\", alpha=\"0.09\", expect_size=\"24704000\"] \n  20 -> 24 [size =\"24704000\"]\n  20 -> 25 [size =\"24704000\"]\n  20 -> 28 [size =\"24704000\"]\n  20 -> 30 [size =\"24704000\"]\n  20 -> 31 [size =\"24704000\"]\n  20 -> 33 [size =\"24704000\"]\n  20 -> 34 [size =\"24704000\"]\n  20 -> 35 [size =\"24704000\"]\n  21 [size=\"103221760\", alpha=\"0.15\", expect_size=\"41288704\"] \n  21 -> 25 [size =\"41288704\"]\n  21 -> 31 [size =\"41288704\"]\n  21 -> 32 [size =\"41288704\"]\n  21 -> 33 [size =\"41288704\"]\n  21 -> 34 [size =\"41288704\"]\n  21 -> 35 [size =\"41288704\"]\n  22 [size=\"98529280\", alpha=\"0.10\", expect_size=\"39411712\"] \n  23 [size=\"100761600\", alpha=\"0.08\", expect_size=\"40304640\"] \n  24 [size=\"73157120\", alpha=\"0.07\", expect_size=\"29262848\"] \n  25 [size=\"99443200\", alpha=\"0.07\", expect_size=\"39777280\"] \n  26 [size=\"68825600\", alpha=\"0.13\", expect_size=\"27530240\"] \n  27 [size=\"78986240\", alpha=\"0.07\", expect_size=\"31594496\"] \n  28 [size=\"105623040\", alpha=\"0.19\", expect_size=\"42249216\"] \n  29 [size=\"96760320\", alpha=\"0.18\", expect_size=\"38704128\"] \n  30 [size=\"87439360\", alpha=\"0.18\", expect_size=\"34975744\"] \n  31 [size=\"21224960\", alpha=\"0.07\", expect_size=\"8489984\"] \n  32 [size=\"109603840\", alpha=\"0.04\", expect_size=\"43841536\"] \n  33 [size=\"50375680\", alpha=\"0.14\", expect_size=\"20150272\"] \n  34 [size=\"97474560\", alpha=\"0.18\", expect_size=\"38989824\"] \n  35 [size=\"20851200\", alpha=\"0.13\", expect_size=\"8340480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139308373\", alpha=\"0.13\", expect_size=\"41792512\"] \n  1 -> 5 [size =\"41792512\"]\n  1 -> 6 [size =\"41792512\"]\n  1 -> 7 [size =\"41792512\"]\n  1 -> 9 [size =\"41792512\"]\n  2 [size=\"78325760\", alpha=\"0.18\", expect_size=\"23497728\"] \n  2 -> 6 [size =\"23497728\"]\n  2 -> 7 [size =\"23497728\"]\n  2 -> 8 [size =\"23497728\"]\n  2 -> 9 [size =\"23497728\"]\n  3 [size=\"102963200\", alpha=\"0.14\", expect_size=\"30888960\"] \n  3 -> 7 [size =\"30888960\"]\n  4 [size=\"74246827\", alpha=\"0.19\", expect_size=\"22274048\"] \n  4 -> 5 [size =\"22274048\"]\n  4 -> 7 [size =\"22274048\"]\n  4 -> 8 [size =\"22274048\"]\n  4 -> 9 [size =\"22274048\"]\n  5 [size=\"106294613\", alpha=\"0.16\", expect_size=\"31888384\"] \n  5 -> 10 [size =\"31888384\"]\n  5 -> 11 [size =\"31888384\"]\n  5 -> 12 [size =\"31888384\"]\n  5 -> 14 [size =\"31888384\"]\n  6 [size=\"39714133\", alpha=\"0.06\", expect_size=\"11914240\"] \n  6 -> 10 [size =\"11914240\"]\n  6 -> 12 [size =\"11914240\"]\n  7 [size=\"146155520\", alpha=\"0.10\", expect_size=\"43846656\"] \n  7 -> 11 [size =\"43846656\"]\n  7 -> 12 [size =\"43846656\"]\n  7 -> 13 [size =\"43846656\"]\n  7 -> 14 [size =\"43846656\"]\n  8 [size=\"134423893\", alpha=\"0.16\", expect_size=\"40327168\"] \n  8 -> 11 [size =\"40327168\"]\n  8 -> 14 [size =\"40327168\"]\n  9 [size=\"82298880\", alpha=\"0.11\", expect_size=\"24689664\"] \n  9 -> 10 [size =\"24689664\"]\n  9 -> 11 [size =\"24689664\"]\n  9 -> 14 [size =\"24689664\"]\n  9 -> 15 [size =\"24689664\"]\n  10 [size=\"148142080\", alpha=\"0.17\", expect_size=\"44442624\"] \n  10 -> 19 [size =\"44442624\"]\n  11 [size=\"108530347\", alpha=\"0.15\", expect_size=\"32559104\"] \n  11 -> 17 [size =\"32559104\"]\n  11 -> 18 [size =\"32559104\"]\n  11 -> 19 [size =\"32559104\"]\n  12 [size=\"54244693\", alpha=\"0.01\", expect_size=\"16273408\"] \n  12 -> 18 [size =\"16273408\"]\n  12 -> 19 [size =\"16273408\"]\n  13 [size=\"42079573\", alpha=\"0.20\", expect_size=\"12623872\"] \n  13 -> 18 [size =\"12623872\"]\n  13 -> 19 [size =\"12623872\"]\n  14 [size=\"152801280\", alpha=\"0.15\", expect_size=\"45840384\"] \n  14 -> 16 [size =\"45840384\"]\n  14 -> 18 [size =\"45840384\"]\n  14 -> 19 [size =\"45840384\"]\n  15 [size=\"147172693\", alpha=\"0.10\", expect_size=\"44151808\"] \n  15 -> 16 [size =\"44151808\"]\n  15 -> 17 [size =\"44151808\"]\n  15 -> 19 [size =\"44151808\"]\n  15 -> 20 [size =\"44151808\"]\n  16 [size=\"112445440\", alpha=\"0.14\", expect_size=\"33733632\"] \n  16 -> 21 [size =\"33733632\"]\n  16 -> 22 [size =\"33733632\"]\n  16 -> 23 [size =\"33733632\"]\n  16 -> 24 [size =\"33733632\"]\n  17 [size=\"160822613\", alpha=\"0.03\", expect_size=\"48246784\"] \n  17 -> 21 [size =\"48246784\"]\n  17 -> 22 [size =\"48246784\"]\n  17 -> 23 [size =\"48246784\"]\n  18 [size=\"82845013\", alpha=\"0.18\", expect_size=\"24853504\"] \n  18 -> 21 [size =\"24853504\"]\n  18 -> 22 [size =\"24853504\"]\n  18 -> 24 [size =\"24853504\"]\n  19 [size=\"50967893\", alpha=\"0.12\", expect_size=\"15290368\"] \n  19 -> 21 [size =\"15290368\"]\n  19 -> 22 [size =\"15290368\"]\n  19 -> 24 [size =\"15290368\"]\n  20 [size=\"138164907\", alpha=\"0.04\", expect_size=\"41449472\"] \n  20 -> 21 [size =\"41449472\"]\n  20 -> 22 [size =\"41449472\"]\n  20 -> 23 [size =\"41449472\"]\n  20 -> 24 [size =\"41449472\"]\n  21 [size=\"113752747\", alpha=\"0.11\", expect_size=\"34125824\"] \n  21 -> 25 [size =\"34125824\"]\n  21 -> 27 [size =\"34125824\"]\n  21 -> 27 [size =\"34125824\"]\n  21 -> 29 [size =\"34125824\"]\n  21 -> 30 [size =\"34125824\"]\n  22 [size=\"77987840\", alpha=\"0.06\", expect_size=\"23396352\"] \n  22 -> 25 [size =\"23396352\"]\n  22 -> 27 [size =\"23396352\"]\n  22 -> 29 [size =\"23396352\"]\n  23 [size=\"85172907\", alpha=\"0.12\", expect_size=\"25551872\"] \n  23 -> 25 [size =\"25551872\"]\n  23 -> 26 [size =\"25551872\"]\n  23 -> 28 [size =\"25551872\"]\n  23 -> 29 [size =\"25551872\"]\n  24 [size=\"84981760\", alpha=\"0.05\", expect_size=\"25494528\"] \n  24 -> 25 [size =\"25494528\"]\n  24 -> 26 [size =\"25494528\"]\n  24 -> 27 [size =\"25494528\"]\n  24 -> 29 [size =\"25494528\"]\n  25 [size=\"45697707\", alpha=\"0.09\", expect_size=\"13709312\"] \n  25 -> 31 [size =\"13709312\"]\n  25 -> 32 [size =\"13709312\"]\n  25 -> 33 [size =\"13709312\"]\n  25 -> 34 [size =\"13709312\"]\n  26 [size=\"127720107\", alpha=\"0.16\", expect_size=\"38316032\"] \n  26 -> 31 [size =\"38316032\"]\n  26 -> 32 [size =\"38316032\"]\n  26 -> 33 [size =\"38316032\"]\n  26 -> 34 [size =\"38316032\"]\n  27 [size=\"81694720\", alpha=\"0.20\", expect_size=\"24508416\"] \n  27 -> 31 [size =\"24508416\"]\n  27 -> 32 [size =\"24508416\"]\n  28 [size=\"101741227\", alpha=\"0.18\", expect_size=\"30522368\"] \n  28 -> 31 [size =\"30522368\"]\n  28 -> 32 [size =\"30522368\"]\n  28 -> 33 [size =\"30522368\"]\n  28 -> 34 [size =\"30522368\"]\n  29 [size=\"88620373\", alpha=\"0.05\", expect_size=\"26586112\"] \n  29 -> 31 [size =\"26586112\"]\n  29 -> 32 [size =\"26586112\"]\n  29 -> 33 [size =\"26586112\"]\n  30 [size=\"27494400\", alpha=\"0.08\", expect_size=\"8248320\"] \n  30 -> 32 [size =\"8248320\"]\n  30 -> 33 [size =\"8248320\"]\n  30 -> 34 [size =\"8248320\"]\n  31 [size=\"58200747\", alpha=\"0.03\", expect_size=\"17460224\"] \n  32 [size=\"145274880\", alpha=\"0.02\", expect_size=\"43582464\"] \n  32 -> 35 [size =\"43582464\"]\n  33 [size=\"35003733\", alpha=\"0.05\", expect_size=\"10501120\"] \n  34 [size=\"127443627\", alpha=\"0.04\", expect_size=\"38233088\"] \n  35 [size=\"164792320\", alpha=\"0.01\", expect_size=\"49437696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83785728\", alpha=\"0.04\", expect_size=\"41892864\"] \n  1 -> 2 [size =\"41892864\"]\n  2 [size=\"48521216\", alpha=\"0.08\", expect_size=\"24260608\"] \n  2 -> 3 [size =\"24260608\"]\n  3 [size=\"17862656\", alpha=\"0.07\", expect_size=\"8931328\"] \n  3 -> 4 [size =\"8931328\"]\n  4 [size=\"71501824\", alpha=\"0.03\", expect_size=\"35750912\"] \n  4 -> 5 [size =\"35750912\"]\n  5 [size=\"93908992\", alpha=\"0.10\", expect_size=\"46954496\"] \n  5 -> 6 [size =\"46954496\"]\n  6 [size=\"40724480\", alpha=\"0.13\", expect_size=\"20362240\"] \n  6 -> 7 [size =\"20362240\"]\n  7 [size=\"75825152\", alpha=\"0.10\", expect_size=\"37912576\"] \n  7 -> 8 [size =\"37912576\"]\n  8 [size=\"97241088\", alpha=\"0.10\", expect_size=\"48620544\"] \n  8 -> 9 [size =\"48620544\"]\n  9 [size=\"27392000\", alpha=\"0.02\", expect_size=\"13696000\"] \n  9 -> 10 [size =\"13696000\"]\n  10 [size=\"86267904\", alpha=\"0.11\", expect_size=\"43133952\"] \n  10 -> 11 [size =\"43133952\"]\n  11 [size=\"23627776\", alpha=\"0.20\", expect_size=\"11813888\"] \n  11 -> 12 [size =\"11813888\"]\n  12 [size=\"42854400\", alpha=\"0.03\", expect_size=\"21427200\"] \n  12 -> 13 [size =\"21427200\"]\n  13 [size=\"78561280\", alpha=\"0.03\", expect_size=\"39280640\"] \n  13 -> 14 [size =\"39280640\"]\n  14 [size=\"16912384\", alpha=\"0.14\", expect_size=\"8456192\"] \n  14 -> 15 [size =\"8456192\"]\n  15 [size=\"32802816\", alpha=\"0.07\", expect_size=\"16401408\"] \n  15 -> 16 [size =\"16401408\"]\n  16 [size=\"78782464\", alpha=\"0.15\", expect_size=\"39391232\"] \n  16 -> 17 [size =\"39391232\"]\n  17 [size=\"46362624\", alpha=\"0.09\", expect_size=\"23181312\"] \n  17 -> 18 [size =\"23181312\"]\n  18 [size=\"94828544\", alpha=\"0.00\", expect_size=\"47414272\"] \n  18 -> 19 [size =\"47414272\"]\n  19 [size=\"47546368\", alpha=\"0.05\", expect_size=\"23773184\"] \n  19 -> 20 [size =\"23773184\"]\n  20 [size=\"57995264\", alpha=\"0.11\", expect_size=\"28997632\"] \n  20 -> 21 [size =\"28997632\"]\n  21 [size=\"13719552\", alpha=\"0.13\", expect_size=\"6859776\"] \n  21 -> 22 [size =\"6859776\"]\n  22 [size=\"13348864\", alpha=\"0.03\", expect_size=\"6674432\"] \n  22 -> 23 [size =\"6674432\"]\n  23 [size=\"27013120\", alpha=\"0.14\", expect_size=\"13506560\"] \n  23 -> 24 [size =\"13506560\"]\n  24 [size=\"41834496\", alpha=\"0.19\", expect_size=\"20917248\"] \n  24 -> 25 [size =\"20917248\"]\n  25 [size=\"11333632\", alpha=\"0.01\", expect_size=\"5666816\"] \n  25 -> 26 [size =\"5666816\"]\n  26 [size=\"43171840\", alpha=\"0.09\", expect_size=\"21585920\"] \n  26 -> 27 [size =\"21585920\"]\n  27 [size=\"20930560\", alpha=\"0.11\", expect_size=\"10465280\"] \n  27 -> 28 [size =\"10465280\"]\n  28 [size=\"61286400\", alpha=\"0.12\", expect_size=\"30643200\"] \n  28 -> 29 [size =\"30643200\"]\n  29 [size=\"62838784\", alpha=\"0.16\", expect_size=\"31419392\"] \n  29 -> 30 [size =\"31419392\"]\n  30 [size=\"87779328\", alpha=\"0.16\", expect_size=\"43889664\"] \n  30 -> 31 [size =\"43889664\"]\n  31 [size=\"47572992\", alpha=\"0.19\", expect_size=\"23786496\"] \n  31 -> 32 [size =\"23786496\"]\n  32 [size=\"15521792\", alpha=\"0.09\", expect_size=\"7760896\"] \n  32 -> 33 [size =\"7760896\"]\n  33 [size=\"29661184\", alpha=\"0.13\", expect_size=\"14830592\"] \n  33 -> 34 [size =\"14830592\"]\n  34 [size=\"97368064\", alpha=\"0.19\", expect_size=\"48684032\"] \n  34 -> 35 [size =\"48684032\"]\n  35 [size=\"90914816\", alpha=\"0.10\", expect_size=\"45457408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49418240\", alpha=\"0.12\", expect_size=\"24709120\"] \n  1 -> 28 [size =\"24709120\"]\n  1 -> 29 [size =\"24709120\"]\n  1 -> 30 [size =\"24709120\"]\n  1 -> 31 [size =\"24709120\"]\n  1 -> 34 [size =\"24709120\"]\n  2 [size=\"103487488\", alpha=\"0.14\", expect_size=\"51743744\"] \n  2 -> 28 [size =\"51743744\"]\n  2 -> 33 [size =\"51743744\"]\n  3 [size=\"38133760\", alpha=\"0.14\", expect_size=\"19066880\"] \n  3 -> 31 [size =\"19066880\"]\n  4 [size=\"75186176\", alpha=\"0.03\", expect_size=\"37593088\"] \n  4 -> 30 [size =\"37593088\"]\n  4 -> 31 [size =\"37593088\"]\n  4 -> 32 [size =\"37593088\"]\n  4 -> 35 [size =\"37593088\"]\n  5 [size=\"56612864\", alpha=\"0.02\", expect_size=\"28306432\"] \n  5 -> 29 [size =\"28306432\"]\n  5 -> 32 [size =\"28306432\"]\n  5 -> 34 [size =\"28306432\"]\n  6 [size=\"73447424\", alpha=\"0.05\", expect_size=\"36723712\"] \n  6 -> 29 [size =\"36723712\"]\n  6 -> 30 [size =\"36723712\"]\n  6 -> 34 [size =\"36723712\"]\n  7 [size=\"49053696\", alpha=\"0.16\", expect_size=\"24526848\"] \n  7 -> 30 [size =\"24526848\"]\n  7 -> 32 [size =\"24526848\"]\n  7 -> 34 [size =\"24526848\"]\n  8 [size=\"55402496\", alpha=\"0.14\", expect_size=\"27701248\"] \n  8 -> 30 [size =\"27701248\"]\n  8 -> 32 [size =\"27701248\"]\n  8 -> 34 [size =\"27701248\"]\n  9 [size=\"42774528\", alpha=\"0.09\", expect_size=\"21387264\"] \n  9 -> 29 [size =\"21387264\"]\n  9 -> 31 [size =\"21387264\"]\n  9 -> 34 [size =\"21387264\"]\n  9 -> 35 [size =\"21387264\"]\n  10 [size=\"84426752\", alpha=\"0.01\", expect_size=\"42213376\"] \n  10 -> 28 [size =\"42213376\"]\n  10 -> 29 [size =\"42213376\"]\n  10 -> 30 [size =\"42213376\"]\n  10 -> 32 [size =\"42213376\"]\n  10 -> 35 [size =\"42213376\"]\n  11 [size=\"11646976\", alpha=\"0.08\", expect_size=\"5823488\"] \n  11 -> 27 [size =\"5823488\"]\n  11 -> 30 [size =\"5823488\"]\n  11 -> 35 [size =\"5823488\"]\n  12 [size=\"66635776\", alpha=\"0.19\", expect_size=\"33317888\"] \n  12 -> 26 [size =\"33317888\"]\n  12 -> 27 [size =\"33317888\"]\n  12 -> 29 [size =\"33317888\"]\n  12 -> 30 [size =\"33317888\"]\n  12 -> 32 [size =\"33317888\"]\n  12 -> 33 [size =\"33317888\"]\n  12 -> 35 [size =\"33317888\"]\n  13 [size=\"39852032\", alpha=\"0.16\", expect_size=\"19926016\"] \n  13 -> 28 [size =\"19926016\"]\n  13 -> 32 [size =\"19926016\"]\n  13 -> 33 [size =\"19926016\"]\n  13 -> 34 [size =\"19926016\"]\n  13 -> 35 [size =\"19926016\"]\n  14 [size=\"10962944\", alpha=\"0.02\", expect_size=\"5481472\"] \n  14 -> 28 [size =\"5481472\"]\n  14 -> 30 [size =\"5481472\"]\n  14 -> 31 [size =\"5481472\"]\n  14 -> 32 [size =\"5481472\"]\n  14 -> 33 [size =\"5481472\"]\n  14 -> 34 [size =\"5481472\"]\n  15 [size=\"27174912\", alpha=\"0.16\", expect_size=\"13587456\"] \n  15 -> 27 [size =\"13587456\"]\n  15 -> 28 [size =\"13587456\"]\n  15 -> 30 [size =\"13587456\"]\n  15 -> 31 [size =\"13587456\"]\n  15 -> 35 [size =\"13587456\"]\n  16 [size=\"36665344\", alpha=\"0.00\", expect_size=\"18332672\"] \n  16 -> 28 [size =\"18332672\"]\n  16 -> 28 [size =\"18332672\"]\n  16 -> 29 [size =\"18332672\"]\n  16 -> 31 [size =\"18332672\"]\n  17 [size=\"61206528\", alpha=\"0.06\", expect_size=\"30603264\"] \n  17 -> 28 [size =\"30603264\"]\n  17 -> 29 [size =\"30603264\"]\n  17 -> 32 [size =\"30603264\"]\n  17 -> 34 [size =\"30603264\"]\n  18 [size=\"40212480\", alpha=\"0.12\", expect_size=\"20106240\"] \n  18 -> 28 [size =\"20106240\"]\n  18 -> 29 [size =\"20106240\"]\n  18 -> 33 [size =\"20106240\"]\n  19 [size=\"10530816\", alpha=\"0.10\", expect_size=\"5265408\"] \n  19 -> 28 [size =\"5265408\"]\n  19 -> 35 [size =\"5265408\"]\n  20 [size=\"52502528\", alpha=\"0.06\", expect_size=\"26251264\"] \n  20 -> 29 [size =\"26251264\"]\n  20 -> 30 [size =\"26251264\"]\n  20 -> 32 [size =\"26251264\"]\n  20 -> 35 [size =\"26251264\"]\n  21 [size=\"54892544\", alpha=\"0.12\", expect_size=\"27446272\"] \n  21 -> 29 [size =\"27446272\"]\n  21 -> 30 [size =\"27446272\"]\n  21 -> 35 [size =\"27446272\"]\n  22 [size=\"90525696\", alpha=\"0.16\", expect_size=\"45262848\"] \n  22 -> 29 [size =\"45262848\"]\n  22 -> 30 [size =\"45262848\"]\n  22 -> 31 [size =\"45262848\"]\n  22 -> 34 [size =\"45262848\"]\n  23 [size=\"87369728\", alpha=\"0.07\", expect_size=\"43684864\"] \n  23 -> 28 [size =\"43684864\"]\n  23 -> 29 [size =\"43684864\"]\n  23 -> 30 [size =\"43684864\"]\n  24 [size=\"69423104\", alpha=\"0.11\", expect_size=\"34711552\"] \n  24 -> 28 [size =\"34711552\"]\n  24 -> 29 [size =\"34711552\"]\n  24 -> 30 [size =\"34711552\"]\n  24 -> 34 [size =\"34711552\"]\n  24 -> 35 [size =\"34711552\"]\n  25 [size=\"76957696\", alpha=\"0.05\", expect_size=\"38478848\"] \n  25 -> 31 [size =\"38478848\"]\n  25 -> 33 [size =\"38478848\"]\n  25 -> 34 [size =\"38478848\"]\n  25 -> 34 [size =\"38478848\"]\n  26 [size=\"59920384\", alpha=\"0.13\", expect_size=\"29960192\"] \n  27 [size=\"62093312\", alpha=\"0.08\", expect_size=\"31046656\"] \n  28 [size=\"90279936\", alpha=\"0.14\", expect_size=\"45139968\"] \n  29 [size=\"53690368\", alpha=\"0.05\", expect_size=\"26845184\"] \n  30 [size=\"99489792\", alpha=\"0.13\", expect_size=\"49744896\"] \n  31 [size=\"35774464\", alpha=\"0.01\", expect_size=\"17887232\"] \n  32 [size=\"90216448\", alpha=\"0.01\", expect_size=\"45108224\"] \n  33 [size=\"72701952\", alpha=\"0.07\", expect_size=\"36350976\"] \n  34 [size=\"10885120\", alpha=\"0.13\", expect_size=\"5442560\"] \n  35 [size=\"63832064\", alpha=\"0.03\", expect_size=\"31916032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85848747\", alpha=\"0.15\", expect_size=\"25754624\"] \n  1 -> 2 [size =\"25754624\"]\n  2 [size=\"134563840\", alpha=\"0.05\", expect_size=\"40369152\"] \n  2 -> 3 [size =\"40369152\"]\n  3 [size=\"168686933\", alpha=\"0.17\", expect_size=\"50606080\"] \n  3 -> 4 [size =\"50606080\"]\n  4 [size=\"134109867\", alpha=\"0.00\", expect_size=\"40232960\"] \n  4 -> 5 [size =\"40232960\"]\n  5 [size=\"129300480\", alpha=\"0.02\", expect_size=\"38790144\"] \n  5 -> 6 [size =\"38790144\"]\n  6 [size=\"143513600\", alpha=\"0.20\", expect_size=\"43054080\"] \n  6 -> 7 [size =\"43054080\"]\n  7 [size=\"94897493\", alpha=\"0.05\", expect_size=\"28469248\"] \n  7 -> 8 [size =\"28469248\"]\n  8 [size=\"40338773\", alpha=\"0.11\", expect_size=\"12101632\"] \n  8 -> 9 [size =\"12101632\"]\n  9 [size=\"141049173\", alpha=\"0.02\", expect_size=\"42314752\"] \n  9 -> 10 [size =\"42314752\"]\n  10 [size=\"131495253\", alpha=\"0.04\", expect_size=\"39448576\"] \n  10 -> 11 [size =\"39448576\"]\n  11 [size=\"121057280\", alpha=\"0.05\", expect_size=\"36317184\"] \n  11 -> 12 [size =\"36317184\"]\n  12 [size=\"81244160\", alpha=\"0.14\", expect_size=\"24373248\"] \n  12 -> 13 [size =\"24373248\"]\n  13 [size=\"122473813\", alpha=\"0.13\", expect_size=\"36742144\"] \n  13 -> 14 [size =\"36742144\"]\n  14 [size=\"96969387\", alpha=\"0.11\", expect_size=\"29090816\"] \n  14 -> 15 [size =\"29090816\"]\n  15 [size=\"97030827\", alpha=\"0.04\", expect_size=\"29109248\"] \n  15 -> 16 [size =\"29109248\"]\n  16 [size=\"111953920\", alpha=\"0.08\", expect_size=\"33586176\"] \n  16 -> 17 [size =\"33586176\"]\n  17 [size=\"109503147\", alpha=\"0.06\", expect_size=\"32850944\"] \n  17 -> 18 [size =\"32850944\"]\n  18 [size=\"150988800\", alpha=\"0.10\", expect_size=\"45296640\"] \n  18 -> 19 [size =\"45296640\"]\n  19 [size=\"77967360\", alpha=\"0.02\", expect_size=\"23390208\"] \n  19 -> 20 [size =\"23390208\"]\n  20 [size=\"96354987\", alpha=\"0.14\", expect_size=\"28906496\"] \n  20 -> 21 [size =\"28906496\"]\n  21 [size=\"130628267\", alpha=\"0.14\", expect_size=\"39188480\"] \n  21 -> 22 [size =\"39188480\"]\n  22 [size=\"169707520\", alpha=\"0.10\", expect_size=\"50912256\"] \n  22 -> 23 [size =\"50912256\"]\n  23 [size=\"120326827\", alpha=\"0.04\", expect_size=\"36098048\"] \n  23 -> 24 [size =\"36098048\"]\n  24 [size=\"63194453\", alpha=\"0.14\", expect_size=\"18958336\"] \n  24 -> 25 [size =\"18958336\"]\n  25 [size=\"151910400\", alpha=\"0.18\", expect_size=\"45573120\"] \n  25 -> 26 [size =\"45573120\"]\n  26 [size=\"24934400\", alpha=\"0.17\", expect_size=\"7480320\"] \n  26 -> 27 [size =\"7480320\"]\n  27 [size=\"84968107\", alpha=\"0.07\", expect_size=\"25490432\"] \n  27 -> 28 [size =\"25490432\"]\n  28 [size=\"131723947\", alpha=\"0.19\", expect_size=\"39517184\"] \n  28 -> 29 [size =\"39517184\"]\n  29 [size=\"50677760\", alpha=\"0.08\", expect_size=\"15203328\"] \n  29 -> 30 [size =\"15203328\"]\n  30 [size=\"65730560\", alpha=\"0.10\", expect_size=\"19719168\"] \n  30 -> 31 [size =\"19719168\"]\n  31 [size=\"173895680\", alpha=\"0.06\", expect_size=\"52168704\"] \n  31 -> 32 [size =\"52168704\"]\n  32 [size=\"128969387\", alpha=\"0.10\", expect_size=\"38690816\"] \n  32 -> 33 [size =\"38690816\"]\n  33 [size=\"48046080\", alpha=\"0.07\", expect_size=\"14413824\"] \n  33 -> 34 [size =\"14413824\"]\n  34 [size=\"82333013\", alpha=\"0.15\", expect_size=\"24699904\"] \n  34 -> 35 [size =\"24699904\"]\n  35 [size=\"33894400\", alpha=\"0.12\", expect_size=\"10168320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36241408\", alpha=\"0.01\", expect_size=\"18120704\"] \n  1 -> 2 [size =\"18120704\"]\n  2 [size=\"74186752\", alpha=\"0.14\", expect_size=\"37093376\"] \n  2 -> 3 [size =\"37093376\"]\n  3 [size=\"96706560\", alpha=\"0.12\", expect_size=\"48353280\"] \n  3 -> 4 [size =\"48353280\"]\n  4 [size=\"38862848\", alpha=\"0.04\", expect_size=\"19431424\"] \n  4 -> 5 [size =\"19431424\"]\n  5 [size=\"70647808\", alpha=\"0.14\", expect_size=\"35323904\"] \n  5 -> 6 [size =\"35323904\"]\n  6 [size=\"15839232\", alpha=\"0.04\", expect_size=\"7919616\"] \n  6 -> 7 [size =\"7919616\"]\n  7 [size=\"25561088\", alpha=\"0.19\", expect_size=\"12780544\"] \n  7 -> 8 [size =\"12780544\"]\n  8 [size=\"84062208\", alpha=\"0.03\", expect_size=\"42031104\"] \n  8 -> 9 [size =\"42031104\"]\n  9 [size=\"68550656\", alpha=\"0.09\", expect_size=\"34275328\"] \n  9 -> 10 [size =\"34275328\"]\n  10 [size=\"54769664\", alpha=\"0.19\", expect_size=\"27384832\"] \n  10 -> 11 [size =\"27384832\"]\n  11 [size=\"54003712\", alpha=\"0.15\", expect_size=\"27001856\"] \n  11 -> 12 [size =\"27001856\"]\n  12 [size=\"56961024\", alpha=\"0.03\", expect_size=\"28480512\"] \n  12 -> 13 [size =\"28480512\"]\n  13 [size=\"30640128\", alpha=\"0.07\", expect_size=\"15320064\"] \n  13 -> 14 [size =\"15320064\"]\n  14 [size=\"87814144\", alpha=\"0.10\", expect_size=\"43907072\"] \n  14 -> 15 [size =\"43907072\"]\n  15 [size=\"11896832\", alpha=\"0.18\", expect_size=\"5948416\"] \n  15 -> 16 [size =\"5948416\"]\n  16 [size=\"76660736\", alpha=\"0.11\", expect_size=\"38330368\"] \n  16 -> 17 [size =\"38330368\"]\n  17 [size=\"95174656\", alpha=\"0.03\", expect_size=\"47587328\"] \n  17 -> 18 [size =\"47587328\"]\n  18 [size=\"90380288\", alpha=\"0.09\", expect_size=\"45190144\"] \n  18 -> 19 [size =\"45190144\"]\n  19 [size=\"102615040\", alpha=\"0.06\", expect_size=\"51307520\"] \n  19 -> 20 [size =\"51307520\"]\n  20 [size=\"52002816\", alpha=\"0.13\", expect_size=\"26001408\"] \n  20 -> 21 [size =\"26001408\"]\n  21 [size=\"45090816\", alpha=\"0.04\", expect_size=\"22545408\"] \n  21 -> 22 [size =\"22545408\"]\n  22 [size=\"22966272\", alpha=\"0.10\", expect_size=\"11483136\"] \n  22 -> 23 [size =\"11483136\"]\n  23 [size=\"34998272\", alpha=\"0.13\", expect_size=\"17499136\"] \n  23 -> 24 [size =\"17499136\"]\n  24 [size=\"66359296\", alpha=\"0.03\", expect_size=\"33179648\"] \n  24 -> 25 [size =\"33179648\"]\n  25 [size=\"19519488\", alpha=\"0.05\", expect_size=\"9759744\"] \n  25 -> 26 [size =\"9759744\"]\n  26 [size=\"11276288\", alpha=\"0.09\", expect_size=\"5638144\"] \n  26 -> 27 [size =\"5638144\"]\n  27 [size=\"61802496\", alpha=\"0.15\", expect_size=\"30901248\"] \n  27 -> 28 [size =\"30901248\"]\n  28 [size=\"74721280\", alpha=\"0.18\", expect_size=\"37360640\"] \n  28 -> 29 [size =\"37360640\"]\n  29 [size=\"21966848\", alpha=\"0.12\", expect_size=\"10983424\"] \n  29 -> 30 [size =\"10983424\"]\n  30 [size=\"51126272\", alpha=\"0.16\", expect_size=\"25563136\"] \n  30 -> 31 [size =\"25563136\"]\n  31 [size=\"15845376\", alpha=\"0.09\", expect_size=\"7922688\"] \n  31 -> 32 [size =\"7922688\"]\n  32 [size=\"36251648\", alpha=\"0.12\", expect_size=\"18125824\"] \n  32 -> 33 [size =\"18125824\"]\n  33 [size=\"81674240\", alpha=\"0.20\", expect_size=\"40837120\"] \n  33 -> 34 [size =\"40837120\"]\n  34 [size=\"49590272\", alpha=\"0.03\", expect_size=\"24795136\"] \n  34 -> 35 [size =\"24795136\"]\n  35 [size=\"62752768\", alpha=\"0.07\", expect_size=\"31376384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40811520\", alpha=\"0.04\", expect_size=\"16324608\"] \n  1 -> 30 [size =\"16324608\"]\n  1 -> 32 [size =\"16324608\"]\n  1 -> 35 [size =\"16324608\"]\n  2 [size=\"50629120\", alpha=\"0.10\", expect_size=\"20251648\"] \n  2 -> 30 [size =\"20251648\"]\n  2 -> 35 [size =\"20251648\"]\n  3 [size=\"29040640\", alpha=\"0.15\", expect_size=\"11616256\"] \n  3 -> 30 [size =\"11616256\"]\n  3 -> 31 [size =\"11616256\"]\n  3 -> 32 [size =\"11616256\"]\n  3 -> 33 [size =\"11616256\"]\n  4 [size=\"32908800\", alpha=\"0.20\", expect_size=\"13163520\"] \n  4 -> 30 [size =\"13163520\"]\n  5 [size=\"66350080\", alpha=\"0.04\", expect_size=\"26540032\"] \n  5 -> 30 [size =\"26540032\"]\n  5 -> 32 [size =\"26540032\"]\n  5 -> 33 [size =\"26540032\"]\n  6 [size=\"103715840\", alpha=\"0.15\", expect_size=\"41486336\"] \n  6 -> 30 [size =\"41486336\"]\n  7 [size=\"114664960\", alpha=\"0.10\", expect_size=\"45865984\"] \n  7 -> 35 [size =\"45865984\"]\n  8 [size=\"98506240\", alpha=\"0.02\", expect_size=\"39402496\"] \n  8 -> 30 [size =\"39402496\"]\n  8 -> 32 [size =\"39402496\"]\n  8 -> 35 [size =\"39402496\"]\n  9 [size=\"27937280\", alpha=\"0.00\", expect_size=\"11174912\"] \n  9 -> 30 [size =\"11174912\"]\n  9 -> 32 [size =\"11174912\"]\n  9 -> 33 [size =\"11174912\"]\n  10 [size=\"36208640\", alpha=\"0.15\", expect_size=\"14483456\"] \n  10 -> 30 [size =\"14483456\"]\n  10 -> 32 [size =\"14483456\"]\n  10 -> 33 [size =\"14483456\"]\n  11 [size=\"120225280\", alpha=\"0.11\", expect_size=\"48090112\"] \n  11 -> 30 [size =\"48090112\"]\n  11 -> 32 [size =\"48090112\"]\n  11 -> 33 [size =\"48090112\"]\n  12 [size=\"24988160\", alpha=\"0.16\", expect_size=\"9995264\"] \n  12 -> 32 [size =\"9995264\"]\n  12 -> 33 [size =\"9995264\"]\n  12 -> 35 [size =\"9995264\"]\n  13 [size=\"83153920\", alpha=\"0.13\", expect_size=\"33261568\"] \n  13 -> 32 [size =\"33261568\"]\n  14 [size=\"54679040\", alpha=\"0.07\", expect_size=\"21871616\"] \n  14 -> 33 [size =\"21871616\"]\n  15 [size=\"53703680\", alpha=\"0.17\", expect_size=\"21481472\"] \n  15 -> 30 [size =\"21481472\"]\n  15 -> 32 [size =\"21481472\"]\n  15 -> 33 [size =\"21481472\"]\n  16 [size=\"77442560\", alpha=\"0.05\", expect_size=\"30977024\"] \n  16 -> 30 [size =\"30977024\"]\n  17 [size=\"47265280\", alpha=\"0.07\", expect_size=\"18906112\"] \n  17 -> 35 [size =\"18906112\"]\n  18 [size=\"107430400\", alpha=\"0.01\", expect_size=\"42972160\"] \n  18 -> 35 [size =\"42972160\"]\n  19 [size=\"116861440\", alpha=\"0.03\", expect_size=\"46744576\"] \n  19 -> 30 [size =\"46744576\"]\n  19 -> 32 [size =\"46744576\"]\n  19 -> 33 [size =\"46744576\"]\n  19 -> 34 [size =\"46744576\"]\n  19 -> 35 [size =\"46744576\"]\n  20 [size=\"119475200\", alpha=\"0.14\", expect_size=\"47790080\"] \n  20 -> 32 [size =\"47790080\"]\n  20 -> 32 [size =\"47790080\"]\n  20 -> 35 [size =\"47790080\"]\n  21 [size=\"90836480\", alpha=\"0.10\", expect_size=\"36334592\"] \n  22 [size=\"36014080\", alpha=\"0.12\", expect_size=\"14405632\"] \n  22 -> 32 [size =\"14405632\"]\n  22 -> 34 [size =\"14405632\"]\n  23 [size=\"129996800\", alpha=\"0.18\", expect_size=\"51998720\"] \n  23 -> 32 [size =\"51998720\"]\n  23 -> 33 [size =\"51998720\"]\n  23 -> 34 [size =\"51998720\"]\n  24 [size=\"89382400\", alpha=\"0.06\", expect_size=\"35752960\"] \n  24 -> 30 [size =\"35752960\"]\n  24 -> 32 [size =\"35752960\"]\n  24 -> 34 [size =\"35752960\"]\n  25 [size=\"129845760\", alpha=\"0.04\", expect_size=\"51938304\"] \n  25 -> 35 [size =\"51938304\"]\n  26 [size=\"112389120\", alpha=\"0.16\", expect_size=\"44955648\"] \n  26 -> 30 [size =\"44955648\"]\n  26 -> 32 [size =\"44955648\"]\n  26 -> 35 [size =\"44955648\"]\n  27 [size=\"21480960\", alpha=\"0.07\", expect_size=\"8592384\"] \n  27 -> 30 [size =\"8592384\"]\n  27 -> 33 [size =\"8592384\"]\n  28 [size=\"62545920\", alpha=\"0.11\", expect_size=\"25018368\"] \n  28 -> 31 [size =\"25018368\"]\n  28 -> 34 [size =\"25018368\"]\n  28 -> 35 [size =\"25018368\"]\n  29 [size=\"69747200\", alpha=\"0.18\", expect_size=\"27898880\"] \n  29 -> 32 [size =\"27898880\"]\n  30 [size=\"85498880\", alpha=\"0.09\", expect_size=\"34199552\"] \n  31 [size=\"50242560\", alpha=\"0.18\", expect_size=\"20097024\"] \n  32 [size=\"109649920\", alpha=\"0.09\", expect_size=\"43859968\"] \n  33 [size=\"65315840\", alpha=\"0.12\", expect_size=\"26126336\"] \n  34 [size=\"51138560\", alpha=\"0.03\", expect_size=\"20455424\"] \n  35 [size=\"86924800\", alpha=\"0.20\", expect_size=\"34769920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101025280\", alpha=\"0.06\", expect_size=\"40410112\"] \n  1 -> 5 [size =\"40410112\"]\n  1 -> 7 [size =\"40410112\"]\n  1 -> 8 [size =\"40410112\"]\n  2 [size=\"129966080\", alpha=\"0.02\", expect_size=\"51986432\"] \n  2 -> 5 [size =\"51986432\"]\n  2 -> 8 [size =\"51986432\"]\n  3 [size=\"64209920\", alpha=\"0.01\", expect_size=\"25683968\"] \n  3 -> 5 [size =\"25683968\"]\n  3 -> 6 [size =\"25683968\"]\n  3 -> 8 [size =\"25683968\"]\n  4 [size=\"47897600\", alpha=\"0.01\", expect_size=\"19159040\"] \n  4 -> 5 [size =\"19159040\"]\n  4 -> 7 [size =\"19159040\"]\n  5 [size=\"13524480\", alpha=\"0.18\", expect_size=\"5409792\"] \n  5 -> 9 [size =\"5409792\"]\n  5 -> 10 [size =\"5409792\"]\n  5 -> 12 [size =\"5409792\"]\n  6 [size=\"126786560\", alpha=\"0.01\", expect_size=\"50714624\"] \n  6 -> 9 [size =\"50714624\"]\n  7 [size=\"18096640\", alpha=\"0.14\", expect_size=\"7238656\"] \n  7 -> 9 [size =\"7238656\"]\n  7 -> 11 [size =\"7238656\"]\n  7 -> 12 [size =\"7238656\"]\n  8 [size=\"109852160\", alpha=\"0.03\", expect_size=\"43940864\"] \n  8 -> 9 [size =\"43940864\"]\n  8 -> 11 [size =\"43940864\"]\n  8 -> 13 [size =\"43940864\"]\n  9 [size=\"114329600\", alpha=\"0.02\", expect_size=\"45731840\"] \n  9 -> 14 [size =\"45731840\"]\n  9 -> 15 [size =\"45731840\"]\n  10 [size=\"62471680\", alpha=\"0.11\", expect_size=\"24988672\"] \n  10 -> 16 [size =\"24988672\"]\n  11 [size=\"13273600\", alpha=\"0.02\", expect_size=\"5309440\"] \n  11 -> 15 [size =\"5309440\"]\n  11 -> 16 [size =\"5309440\"]\n  12 [size=\"46016000\", alpha=\"0.02\", expect_size=\"18406400\"] \n  12 -> 15 [size =\"18406400\"]\n  12 -> 16 [size =\"18406400\"]\n  12 -> 17 [size =\"18406400\"]\n  12 -> 18 [size =\"18406400\"]\n  13 [size=\"57292800\", alpha=\"0.10\", expect_size=\"22917120\"] \n  13 -> 15 [size =\"22917120\"]\n  13 -> 16 [size =\"22917120\"]\n  13 -> 17 [size =\"22917120\"]\n  14 [size=\"64977920\", alpha=\"0.06\", expect_size=\"25991168\"] \n  14 -> 20 [size =\"25991168\"]\n  14 -> 21 [size =\"25991168\"]\n  14 -> 22 [size =\"25991168\"]\n  15 [size=\"73131520\", alpha=\"0.10\", expect_size=\"29252608\"] \n  15 -> 21 [size =\"29252608\"]\n  15 -> 22 [size =\"29252608\"]\n  16 [size=\"63411200\", alpha=\"0.14\", expect_size=\"25364480\"] \n  16 -> 22 [size =\"25364480\"]\n  17 [size=\"68288000\", alpha=\"0.03\", expect_size=\"27315200\"] \n  17 -> 19 [size =\"27315200\"]\n  17 -> 21 [size =\"27315200\"]\n  17 -> 23 [size =\"27315200\"]\n  18 [size=\"34196480\", alpha=\"0.19\", expect_size=\"13678592\"] \n  18 -> 21 [size =\"13678592\"]\n  19 [size=\"53544960\", alpha=\"0.12\", expect_size=\"21417984\"] \n  19 -> 24 [size =\"21417984\"]\n  19 -> 25 [size =\"21417984\"]\n  19 -> 27 [size =\"21417984\"]\n  19 -> 28 [size =\"21417984\"]\n  20 [size=\"63411200\", alpha=\"0.00\", expect_size=\"25364480\"] \n  20 -> 24 [size =\"25364480\"]\n  20 -> 25 [size =\"25364480\"]\n  20 -> 26 [size =\"25364480\"]\n  20 -> 27 [size =\"25364480\"]\n  21 [size=\"130498560\", alpha=\"0.03\", expect_size=\"52199424\"] \n  21 -> 25 [size =\"52199424\"]\n  21 -> 26 [size =\"52199424\"]\n  21 -> 28 [size =\"52199424\"]\n  22 [size=\"24199680\", alpha=\"0.06\", expect_size=\"9679872\"] \n  22 -> 24 [size =\"9679872\"]\n  22 -> 26 [size =\"9679872\"]\n  22 -> 27 [size =\"9679872\"]\n  22 -> 28 [size =\"9679872\"]\n  23 [size=\"34920960\", alpha=\"0.17\", expect_size=\"13968384\"] \n  23 -> 24 [size =\"13968384\"]\n  23 -> 25 [size =\"13968384\"]\n  23 -> 26 [size =\"13968384\"]\n  23 -> 28 [size =\"13968384\"]\n  24 [size=\"96430080\", alpha=\"0.15\", expect_size=\"38572032\"] \n  24 -> 29 [size =\"38572032\"]\n  24 -> 31 [size =\"38572032\"]\n  25 [size=\"130375680\", alpha=\"0.12\", expect_size=\"52150272\"] \n  25 -> 29 [size =\"52150272\"]\n  25 -> 31 [size =\"52150272\"]\n  26 [size=\"73489920\", alpha=\"0.09\", expect_size=\"29395968\"] \n  26 -> 29 [size =\"29395968\"]\n  27 [size=\"37250560\", alpha=\"0.06\", expect_size=\"14900224\"] \n  27 -> 29 [size =\"14900224\"]\n  27 -> 30 [size =\"14900224\"]\n  28 [size=\"56035840\", alpha=\"0.20\", expect_size=\"22414336\"] \n  28 -> 29 [size =\"22414336\"]\n  28 -> 31 [size =\"22414336\"]\n  28 -> 32 [size =\"22414336\"]\n  29 [size=\"51522560\", alpha=\"0.11\", expect_size=\"20609024\"] \n  29 -> 33 [size =\"20609024\"]\n  29 -> 35 [size =\"20609024\"]\n  30 [size=\"122785280\", alpha=\"0.10\", expect_size=\"49114112\"] \n  30 -> 33 [size =\"49114112\"]\n  31 [size=\"123453440\", alpha=\"0.10\", expect_size=\"49381376\"] \n  31 -> 34 [size =\"49381376\"]\n  32 [size=\"23482880\", alpha=\"0.15\", expect_size=\"9393152\"] \n  32 -> 33 [size =\"9393152\"]\n  32 -> 35 [size =\"9393152\"]\n  33 [size=\"57699840\", alpha=\"0.08\", expect_size=\"23079936\"] \n  34 [size=\"41277440\", alpha=\"0.09\", expect_size=\"16510976\"] \n  35 [size=\"126976000\", alpha=\"0.00\", expect_size=\"50790400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73352533\", alpha=\"0.06\", expect_size=\"22005760\"] \n  1 -> 5 [size =\"22005760\"]\n  1 -> 7 [size =\"22005760\"]\n  2 [size=\"66723840\", alpha=\"0.04\", expect_size=\"20017152\"] \n  2 -> 5 [size =\"20017152\"]\n  2 -> 6 [size =\"20017152\"]\n  3 [size=\"82701653\", alpha=\"0.08\", expect_size=\"24810496\"] \n  3 -> 8 [size =\"24810496\"]\n  4 [size=\"67990187\", alpha=\"0.18\", expect_size=\"20397056\"] \n  4 -> 8 [size =\"20397056\"]\n  5 [size=\"118954667\", alpha=\"0.06\", expect_size=\"35686400\"] \n  5 -> 9 [size =\"35686400\"]\n  5 -> 10 [size =\"35686400\"]\n  6 [size=\"49213440\", alpha=\"0.20\", expect_size=\"14764032\"] \n  6 -> 10 [size =\"14764032\"]\n  6 -> 12 [size =\"14764032\"]\n  7 [size=\"89245013\", alpha=\"0.08\", expect_size=\"26773504\"] \n  7 -> 12 [size =\"26773504\"]\n  8 [size=\"86749867\", alpha=\"0.11\", expect_size=\"26024960\"] \n  8 -> 10 [size =\"26024960\"]\n  8 -> 11 [size =\"26024960\"]\n  9 [size=\"143646720\", alpha=\"0.02\", expect_size=\"43094016\"] \n  9 -> 13 [size =\"43094016\"]\n  9 -> 14 [size =\"43094016\"]\n  9 -> 15 [size =\"43094016\"]\n  9 -> 17 [size =\"43094016\"]\n  10 [size=\"53275307\", alpha=\"0.16\", expect_size=\"15982592\"] \n  10 -> 14 [size =\"15982592\"]\n  10 -> 15 [size =\"15982592\"]\n  10 -> 16 [size =\"15982592\"]\n  11 [size=\"79882240\", alpha=\"0.10\", expect_size=\"23964672\"] \n  11 -> 13 [size =\"23964672\"]\n  11 -> 15 [size =\"23964672\"]\n  11 -> 16 [size =\"23964672\"]\n  12 [size=\"125767680\", alpha=\"0.06\", expect_size=\"37730304\"] \n  12 -> 14 [size =\"37730304\"]\n  12 -> 16 [size =\"37730304\"]\n  12 -> 17 [size =\"37730304\"]\n  13 [size=\"156166827\", alpha=\"0.03\", expect_size=\"46850048\"] \n  13 -> 18 [size =\"46850048\"]\n  13 -> 21 [size =\"46850048\"]\n  14 [size=\"65126400\", alpha=\"0.06\", expect_size=\"19537920\"] \n  14 -> 19 [size =\"19537920\"]\n  15 [size=\"46892373\", alpha=\"0.02\", expect_size=\"14067712\"] \n  15 -> 19 [size =\"14067712\"]\n  15 -> 20 [size =\"14067712\"]\n  15 -> 21 [size =\"14067712\"]\n  16 [size=\"96078507\", alpha=\"0.05\", expect_size=\"28823552\"] \n  16 -> 19 [size =\"28823552\"]\n  17 [size=\"94098773\", alpha=\"0.02\", expect_size=\"28229632\"] \n  17 -> 18 [size =\"28229632\"]\n  17 -> 20 [size =\"28229632\"]\n  17 -> 21 [size =\"28229632\"]\n  18 [size=\"154047147\", alpha=\"0.03\", expect_size=\"46214144\"] \n  18 -> 22 [size =\"46214144\"]\n  18 -> 23 [size =\"46214144\"]\n  18 -> 26 [size =\"46214144\"]\n  19 [size=\"82978133\", alpha=\"0.12\", expect_size=\"24893440\"] \n  19 -> 26 [size =\"24893440\"]\n  20 [size=\"99478187\", alpha=\"0.15\", expect_size=\"29843456\"] \n  20 -> 24 [size =\"29843456\"]\n  21 [size=\"69362347\", alpha=\"0.06\", expect_size=\"20808704\"] \n  21 -> 23 [size =\"20808704\"]\n  21 -> 25 [size =\"20808704\"]\n  21 -> 26 [size =\"20808704\"]\n  22 [size=\"148664320\", alpha=\"0.03\", expect_size=\"44599296\"] \n  22 -> 27 [size =\"44599296\"]\n  22 -> 28 [size =\"44599296\"]\n  22 -> 29 [size =\"44599296\"]\n  23 [size=\"37703680\", alpha=\"0.08\", expect_size=\"11311104\"] \n  23 -> 29 [size =\"11311104\"]\n  23 -> 30 [size =\"11311104\"]\n  23 -> 31 [size =\"11311104\"]\n  24 [size=\"59675307\", alpha=\"0.19\", expect_size=\"17902592\"] \n  24 -> 30 [size =\"17902592\"]\n  25 [size=\"104881493\", alpha=\"0.04\", expect_size=\"31464448\"] \n  25 -> 29 [size =\"31464448\"]\n  25 -> 30 [size =\"31464448\"]\n  26 [size=\"123832320\", alpha=\"0.12\", expect_size=\"37149696\"] \n  26 -> 27 [size =\"37149696\"]\n  26 -> 29 [size =\"37149696\"]\n  26 -> 30 [size =\"37149696\"]\n  26 -> 31 [size =\"37149696\"]\n  27 [size=\"162983253\", alpha=\"0.10\", expect_size=\"48894976\"] \n  27 -> 32 [size =\"48894976\"]\n  27 -> 35 [size =\"48894976\"]\n  28 [size=\"21442560\", alpha=\"0.16\", expect_size=\"6432768\"] \n  28 -> 32 [size =\"6432768\"]\n  28 -> 34 [size =\"6432768\"]\n  29 [size=\"41550507\", alpha=\"0.19\", expect_size=\"12465152\"] \n  29 -> 32 [size =\"12465152\"]\n  29 -> 34 [size =\"12465152\"]\n  29 -> 35 [size =\"12465152\"]\n  30 [size=\"135932587\", alpha=\"0.06\", expect_size=\"40779776\"] \n  30 -> 32 [size =\"40779776\"]\n  30 -> 33 [size =\"40779776\"]\n  30 -> 34 [size =\"40779776\"]\n  30 -> 35 [size =\"40779776\"]\n  31 [size=\"100116480\", alpha=\"0.01\", expect_size=\"30034944\"] \n  31 -> 35 [size =\"30034944\"]\n  32 [size=\"147268267\", alpha=\"0.09\", expect_size=\"44180480\"] \n  33 [size=\"169352533\", alpha=\"0.16\", expect_size=\"50805760\"] \n  34 [size=\"74308267\", alpha=\"0.08\", expect_size=\"22292480\"] \n  35 [size=\"69939200\", alpha=\"0.04\", expect_size=\"20981760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154030080\", alpha=\"0.11\", expect_size=\"46209024\"] \n  1 -> 3 [size =\"46209024\"]\n  2 [size=\"20572160\", alpha=\"0.04\", expect_size=\"6171648\"] \n  2 -> 3 [size =\"6171648\"]\n  3 [size=\"117422080\", alpha=\"0.02\", expect_size=\"35226624\"] \n  3 -> 4 [size =\"35226624\"]\n  4 [size=\"148462933\", alpha=\"0.10\", expect_size=\"44538880\"] \n  4 -> 5 [size =\"44538880\"]\n  5 [size=\"124378453\", alpha=\"0.05\", expect_size=\"37313536\"] \n  5 -> 6 [size =\"37313536\"]\n  5 -> 7 [size =\"37313536\"]\n  6 [size=\"148459520\", alpha=\"0.08\", expect_size=\"44537856\"] \n  6 -> 8 [size =\"44537856\"]\n  6 -> 9 [size =\"44537856\"]\n  7 [size=\"166171307\", alpha=\"0.01\", expect_size=\"49851392\"] \n  7 -> 8 [size =\"49851392\"]\n  7 -> 9 [size =\"49851392\"]\n  8 [size=\"51558400\", alpha=\"0.12\", expect_size=\"15467520\"] \n  8 -> 10 [size =\"15467520\"]\n  8 -> 11 [size =\"15467520\"]\n  9 [size=\"98129920\", alpha=\"0.05\", expect_size=\"29438976\"] \n  9 -> 10 [size =\"29438976\"]\n  9 -> 11 [size =\"29438976\"]\n  10 [size=\"167164587\", alpha=\"0.00\", expect_size=\"50149376\"] \n  10 -> 12 [size =\"50149376\"]\n  11 [size=\"161802240\", alpha=\"0.07\", expect_size=\"48540672\"] \n  11 -> 12 [size =\"48540672\"]\n  12 [size=\"89125547\", alpha=\"0.04\", expect_size=\"26737664\"] \n  12 -> 13 [size =\"26737664\"]\n  12 -> 14 [size =\"26737664\"]\n  13 [size=\"119463253\", alpha=\"0.18\", expect_size=\"35838976\"] \n  13 -> 15 [size =\"35838976\"]\n  14 [size=\"134454613\", alpha=\"0.15\", expect_size=\"40336384\"] \n  14 -> 15 [size =\"40336384\"]\n  15 [size=\"55944533\", alpha=\"0.03\", expect_size=\"16783360\"] \n  15 -> 16 [size =\"16783360\"]\n  16 [size=\"93709653\", alpha=\"0.03\", expect_size=\"28112896\"] \n  16 -> 17 [size =\"28112896\"]\n  17 [size=\"156180480\", alpha=\"0.09\", expect_size=\"46854144\"] \n  17 -> 18 [size =\"46854144\"]\n  17 -> 19 [size =\"46854144\"]\n  18 [size=\"162420053\", alpha=\"0.16\", expect_size=\"48726016\"] \n  18 -> 20 [size =\"48726016\"]\n  19 [size=\"102516053\", alpha=\"0.06\", expect_size=\"30754816\"] \n  19 -> 20 [size =\"30754816\"]\n  20 [size=\"138359467\", alpha=\"0.10\", expect_size=\"41507840\"] \n  20 -> 21 [size =\"41507840\"]\n  20 -> 22 [size =\"41507840\"]\n  21 [size=\"141489493\", alpha=\"0.11\", expect_size=\"42446848\"] \n  21 -> 23 [size =\"42446848\"]\n  21 -> 24 [size =\"42446848\"]\n  22 [size=\"37386240\", alpha=\"0.12\", expect_size=\"11215872\"] \n  22 -> 23 [size =\"11215872\"]\n  22 -> 24 [size =\"11215872\"]\n  23 [size=\"66556587\", alpha=\"0.06\", expect_size=\"19966976\"] \n  23 -> 25 [size =\"19966976\"]\n  24 [size=\"51425280\", alpha=\"0.16\", expect_size=\"15427584\"] \n  24 -> 25 [size =\"15427584\"]\n  25 [size=\"170690560\", alpha=\"0.01\", expect_size=\"51207168\"] \n  25 -> 26 [size =\"51207168\"]\n  26 [size=\"33440427\", alpha=\"0.02\", expect_size=\"10032128\"] \n  26 -> 27 [size =\"10032128\"]\n  26 -> 28 [size =\"10032128\"]\n  27 [size=\"54121813\", alpha=\"0.01\", expect_size=\"16236544\"] \n  27 -> 29 [size =\"16236544\"]\n  28 [size=\"128788480\", alpha=\"0.05\", expect_size=\"38636544\"] \n  28 -> 29 [size =\"38636544\"]\n  29 [size=\"95692800\", alpha=\"0.20\", expect_size=\"28707840\"] \n  29 -> 30 [size =\"28707840\"]\n  29 -> 31 [size =\"28707840\"]\n  30 [size=\"144902827\", alpha=\"0.13\", expect_size=\"43470848\"] \n  30 -> 32 [size =\"43470848\"]\n  31 [size=\"64365227\", alpha=\"0.05\", expect_size=\"19309568\"] \n  31 -> 32 [size =\"19309568\"]\n  31 -> 33 [size =\"19309568\"]\n  32 [size=\"147920213\", alpha=\"0.06\", expect_size=\"44376064\"] \n  32 -> 35 [size =\"44376064\"]\n  33 [size=\"84094293\", alpha=\"0.20\", expect_size=\"25228288\"] \n  33 -> 34 [size =\"25228288\"]\n  33 -> 35 [size =\"25228288\"]\n  34 [size=\"130116267\", alpha=\"0.08\", expect_size=\"39034880\"] \n  35 [size=\"102403413\", alpha=\"0.02\", expect_size=\"30721024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92233728\", alpha=\"0.13\", expect_size=\"46116864\"] \n  1 -> 5 [size =\"46116864\"]\n  1 -> 6 [size =\"46116864\"]\n  1 -> 7 [size =\"46116864\"]\n  1 -> 9 [size =\"46116864\"]\n  2 [size=\"66547712\", alpha=\"0.08\", expect_size=\"33273856\"] \n  2 -> 7 [size =\"33273856\"]\n  2 -> 8 [size =\"33273856\"]\n  2 -> 9 [size =\"33273856\"]\n  3 [size=\"82708480\", alpha=\"0.07\", expect_size=\"41354240\"] \n  3 -> 5 [size =\"41354240\"]\n  3 -> 6 [size =\"41354240\"]\n  3 -> 7 [size =\"41354240\"]\n  3 -> 8 [size =\"41354240\"]\n  4 [size=\"60960768\", alpha=\"0.16\", expect_size=\"30480384\"] \n  4 -> 7 [size =\"30480384\"]\n  4 -> 8 [size =\"30480384\"]\n  4 -> 9 [size =\"30480384\"]\n  5 [size=\"99371008\", alpha=\"0.09\", expect_size=\"49685504\"] \n  5 -> 10 [size =\"49685504\"]\n  5 -> 12 [size =\"49685504\"]\n  5 -> 12 [size =\"49685504\"]\n  5 -> 13 [size =\"49685504\"]\n  6 [size=\"18741248\", alpha=\"0.18\", expect_size=\"9370624\"] \n  6 -> 10 [size =\"9370624\"]\n  6 -> 12 [size =\"9370624\"]\n  6 -> 13 [size =\"9370624\"]\n  6 -> 14 [size =\"9370624\"]\n  7 [size=\"33269760\", alpha=\"0.11\", expect_size=\"16634880\"] \n  7 -> 10 [size =\"16634880\"]\n  7 -> 11 [size =\"16634880\"]\n  7 -> 12 [size =\"16634880\"]\n  7 -> 13 [size =\"16634880\"]\n  8 [size=\"82044928\", alpha=\"0.05\", expect_size=\"41022464\"] \n  8 -> 10 [size =\"41022464\"]\n  8 -> 11 [size =\"41022464\"]\n  8 -> 13 [size =\"41022464\"]\n  9 [size=\"39460864\", alpha=\"0.11\", expect_size=\"19730432\"] \n  9 -> 10 [size =\"19730432\"]\n  9 -> 11 [size =\"19730432\"]\n  9 -> 12 [size =\"19730432\"]\n  10 [size=\"99913728\", alpha=\"0.16\", expect_size=\"49956864\"] \n  10 -> 16 [size =\"49956864\"]\n  10 -> 17 [size =\"49956864\"]\n  11 [size=\"96616448\", alpha=\"0.03\", expect_size=\"48308224\"] \n  11 -> 16 [size =\"48308224\"]\n  11 -> 17 [size =\"48308224\"]\n  12 [size=\"62234624\", alpha=\"0.19\", expect_size=\"31117312\"] \n  12 -> 16 [size =\"31117312\"]\n  12 -> 17 [size =\"31117312\"]\n  13 [size=\"99672064\", alpha=\"0.14\", expect_size=\"49836032\"] \n  13 -> 16 [size =\"49836032\"]\n  14 [size=\"38199296\", alpha=\"0.09\", expect_size=\"19099648\"] \n  14 -> 15 [size =\"19099648\"]\n  14 -> 16 [size =\"19099648\"]\n  15 [size=\"18294784\", alpha=\"0.03\", expect_size=\"9147392\"] \n  15 -> 18 [size =\"9147392\"]\n  15 -> 19 [size =\"9147392\"]\n  15 -> 20 [size =\"9147392\"]\n  16 [size=\"60162048\", alpha=\"0.02\", expect_size=\"30081024\"] \n  16 -> 19 [size =\"30081024\"]\n  17 [size=\"48470016\", alpha=\"0.14\", expect_size=\"24235008\"] \n  17 -> 18 [size =\"24235008\"]\n  17 -> 19 [size =\"24235008\"]\n  17 -> 20 [size =\"24235008\"]\n  18 [size=\"102199296\", alpha=\"0.13\", expect_size=\"51099648\"] \n  18 -> 21 [size =\"51099648\"]\n  18 -> 22 [size =\"51099648\"]\n  18 -> 24 [size =\"51099648\"]\n  19 [size=\"32225280\", alpha=\"0.16\", expect_size=\"16112640\"] \n  19 -> 21 [size =\"16112640\"]\n  19 -> 22 [size =\"16112640\"]\n  19 -> 23 [size =\"16112640\"]\n  19 -> 25 [size =\"16112640\"]\n  20 [size=\"84486144\", alpha=\"0.08\", expect_size=\"42243072\"] \n  20 -> 22 [size =\"42243072\"]\n  20 -> 23 [size =\"42243072\"]\n  20 -> 25 [size =\"42243072\"]\n  21 [size=\"67049472\", alpha=\"0.17\", expect_size=\"33524736\"] \n  21 -> 26 [size =\"33524736\"]\n  22 [size=\"79204352\", alpha=\"0.18\", expect_size=\"39602176\"] \n  22 -> 26 [size =\"39602176\"]\n  23 [size=\"72523776\", alpha=\"0.14\", expect_size=\"36261888\"] \n  23 -> 26 [size =\"36261888\"]\n  23 -> 28 [size =\"36261888\"]\n  23 -> 29 [size =\"36261888\"]\n  24 [size=\"45916160\", alpha=\"0.01\", expect_size=\"22958080\"] \n  24 -> 26 [size =\"22958080\"]\n  24 -> 27 [size =\"22958080\"]\n  25 [size=\"86614016\", alpha=\"0.07\", expect_size=\"43307008\"] \n  25 -> 26 [size =\"43307008\"]\n  25 -> 27 [size =\"43307008\"]\n  26 [size=\"101345280\", alpha=\"0.14\", expect_size=\"50672640\"] \n  26 -> 30 [size =\"50672640\"]\n  26 -> 31 [size =\"50672640\"]\n  27 [size=\"17338368\", alpha=\"0.06\", expect_size=\"8669184\"] \n  27 -> 32 [size =\"8669184\"]\n  28 [size=\"81983488\", alpha=\"0.14\", expect_size=\"40991744\"] \n  28 -> 31 [size =\"40991744\"]\n  28 -> 32 [size =\"40991744\"]\n  29 [size=\"48500736\", alpha=\"0.08\", expect_size=\"24250368\"] \n  30 [size=\"29974528\", alpha=\"0.00\", expect_size=\"14987264\"] \n  30 -> 33 [size =\"14987264\"]\n  30 -> 34 [size =\"14987264\"]\n  31 [size=\"66695168\", alpha=\"0.11\", expect_size=\"33347584\"] \n  31 -> 33 [size =\"33347584\"]\n  31 -> 34 [size =\"33347584\"]\n  32 [size=\"51671040\", alpha=\"0.13\", expect_size=\"25835520\"] \n  32 -> 33 [size =\"25835520\"]\n  32 -> 34 [size =\"25835520\"]\n  32 -> 35 [size =\"25835520\"]\n  33 [size=\"40962048\", alpha=\"0.14\", expect_size=\"20481024\"] \n  34 [size=\"12421120\", alpha=\"0.00\", expect_size=\"6210560\"] \n  35 [size=\"16525312\", alpha=\"0.08\", expect_size=\"8262656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43622400\", alpha=\"0.03\", expect_size=\"13086720\"] \n  1 -> 15 [size =\"13086720\"]\n  1 -> 16 [size =\"13086720\"]\n  1 -> 18 [size =\"13086720\"]\n  1 -> 21 [size =\"13086720\"]\n  2 [size=\"73332053\", alpha=\"0.11\", expect_size=\"21999616\"] \n  2 -> 12 [size =\"21999616\"]\n  2 -> 17 [size =\"21999616\"]\n  2 -> 18 [size =\"21999616\"]\n  2 -> 20 [size =\"21999616\"]\n  3 [size=\"70461440\", alpha=\"0.08\", expect_size=\"21138432\"] \n  3 -> 12 [size =\"21138432\"]\n  3 -> 14 [size =\"21138432\"]\n  3 -> 16 [size =\"21138432\"]\n  3 -> 17 [size =\"21138432\"]\n  3 -> 20 [size =\"21138432\"]\n  4 [size=\"81858560\", alpha=\"0.04\", expect_size=\"24557568\"] \n  4 -> 12 [size =\"24557568\"]\n  4 -> 13 [size =\"24557568\"]\n  4 -> 16 [size =\"24557568\"]\n  4 -> 18 [size =\"24557568\"]\n  4 -> 19 [size =\"24557568\"]\n  5 [size=\"121060693\", alpha=\"0.09\", expect_size=\"36318208\"] \n  5 -> 12 [size =\"36318208\"]\n  5 -> 18 [size =\"36318208\"]\n  6 [size=\"103168000\", alpha=\"0.01\", expect_size=\"30950400\"] \n  6 -> 13 [size =\"30950400\"]\n  6 -> 16 [size =\"30950400\"]\n  6 -> 17 [size =\"30950400\"]\n  6 -> 20 [size =\"30950400\"]\n  7 [size=\"39512747\", alpha=\"0.11\", expect_size=\"11853824\"] \n  7 -> 16 [size =\"11853824\"]\n  7 -> 17 [size =\"11853824\"]\n  8 [size=\"84155733\", alpha=\"0.03\", expect_size=\"25246720\"] \n  8 -> 13 [size =\"25246720\"]\n  8 -> 16 [size =\"25246720\"]\n  8 -> 18 [size =\"25246720\"]\n  8 -> 19 [size =\"25246720\"]\n  9 [size=\"139246933\", alpha=\"0.00\", expect_size=\"41774080\"] \n  9 -> 14 [size =\"41774080\"]\n  9 -> 18 [size =\"41774080\"]\n  9 -> 21 [size =\"41774080\"]\n  10 [size=\"155685547\", alpha=\"0.03\", expect_size=\"46705664\"] \n  10 -> 13 [size =\"46705664\"]\n  10 -> 16 [size =\"46705664\"]\n  10 -> 18 [size =\"46705664\"]\n  10 -> 21 [size =\"46705664\"]\n  11 [size=\"52142080\", alpha=\"0.15\", expect_size=\"15642624\"] \n  11 -> 17 [size =\"15642624\"]\n  11 -> 21 [size =\"15642624\"]\n  12 [size=\"76168533\", alpha=\"0.16\", expect_size=\"22850560\"] \n  12 -> 24 [size =\"22850560\"]\n  12 -> 26 [size =\"22850560\"]\n  12 -> 28 [size =\"22850560\"]\n  12 -> 31 [size =\"22850560\"]\n  13 [size=\"161105920\", alpha=\"0.06\", expect_size=\"48331776\"] \n  13 -> 26 [size =\"48331776\"]\n  13 -> 28 [size =\"48331776\"]\n  14 [size=\"67027627\", alpha=\"0.13\", expect_size=\"20108288\"] \n  14 -> 24 [size =\"20108288\"]\n  14 -> 29 [size =\"20108288\"]\n  14 -> 30 [size =\"20108288\"]\n  15 [size=\"97017173\", alpha=\"0.01\", expect_size=\"29105152\"] \n  15 -> 22 [size =\"29105152\"]\n  15 -> 31 [size =\"29105152\"]\n  16 [size=\"164413440\", alpha=\"0.20\", expect_size=\"49324032\"] \n  16 -> 25 [size =\"49324032\"]\n  16 -> 26 [size =\"49324032\"]\n  16 -> 32 [size =\"49324032\"]\n  17 [size=\"173663573\", alpha=\"0.14\", expect_size=\"52099072\"] \n  17 -> 23 [size =\"52099072\"]\n  17 -> 29 [size =\"52099072\"]\n  17 -> 31 [size =\"52099072\"]\n  17 -> 32 [size =\"52099072\"]\n  18 [size=\"103929173\", alpha=\"0.20\", expect_size=\"31178752\"] \n  18 -> 25 [size =\"31178752\"]\n  18 -> 28 [size =\"31178752\"]\n  18 -> 29 [size =\"31178752\"]\n  18 -> 31 [size =\"31178752\"]\n  19 [size=\"126586880\", alpha=\"0.04\", expect_size=\"37976064\"] \n  19 -> 26 [size =\"37976064\"]\n  19 -> 27 [size =\"37976064\"]\n  19 -> 30 [size =\"37976064\"]\n  20 [size=\"127201280\", alpha=\"0.09\", expect_size=\"38160384\"] \n  20 -> 22 [size =\"38160384\"]\n  20 -> 29 [size =\"38160384\"]\n  20 -> 31 [size =\"38160384\"]\n  21 [size=\"152398507\", alpha=\"0.16\", expect_size=\"45719552\"] \n  21 -> 23 [size =\"45719552\"]\n  21 -> 26 [size =\"45719552\"]\n  21 -> 28 [size =\"45719552\"]\n  21 -> 31 [size =\"45719552\"]\n  21 -> 32 [size =\"45719552\"]\n  22 [size=\"112302080\", alpha=\"0.11\", expect_size=\"33690624\"] \n  22 -> 34 [size =\"33690624\"]\n  22 -> 34 [size =\"33690624\"]\n  23 [size=\"84654080\", alpha=\"0.13\", expect_size=\"25396224\"] \n  24 [size=\"129863680\", alpha=\"0.03\", expect_size=\"38959104\"] \n  24 -> 33 [size =\"38959104\"]\n  24 -> 34 [size =\"38959104\"]\n  25 [size=\"78243840\", alpha=\"0.06\", expect_size=\"23473152\"] \n  25 -> 33 [size =\"23473152\"]\n  25 -> 34 [size =\"23473152\"]\n  26 [size=\"86787413\", alpha=\"0.20\", expect_size=\"26036224\"] \n  27 [size=\"85937493\", alpha=\"0.17\", expect_size=\"25781248\"] \n  28 [size=\"36904960\", alpha=\"0.02\", expect_size=\"11071488\"] \n  29 [size=\"35853653\", alpha=\"0.03\", expect_size=\"10756096\"] \n  29 -> 35 [size =\"10756096\"]\n  30 [size=\"67580587\", alpha=\"0.01\", expect_size=\"20274176\"] \n  30 -> 33 [size =\"20274176\"]\n  31 [size=\"134884693\", alpha=\"0.04\", expect_size=\"40465408\"] \n  31 -> 34 [size =\"40465408\"]\n  32 [size=\"106622293\", alpha=\"0.14\", expect_size=\"31986688\"] \n  32 -> 33 [size =\"31986688\"]\n  32 -> 34 [size =\"31986688\"]\n  33 [size=\"38652587\", alpha=\"0.02\", expect_size=\"11595776\"] \n  34 [size=\"141250560\", alpha=\"0.17\", expect_size=\"42375168\"] \n  35 [size=\"164225707\", alpha=\"0.02\", expect_size=\"49267712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125999787\", alpha=\"0.07\", expect_size=\"37799936\"] \n  1 -> 7 [size =\"37799936\"]\n  1 -> 8 [size =\"37799936\"]\n  2 [size=\"62600533\", alpha=\"0.10\", expect_size=\"18780160\"] \n  2 -> 7 [size =\"18780160\"]\n  3 [size=\"75287893\", alpha=\"0.00\", expect_size=\"22586368\"] \n  3 -> 5 [size =\"22586368\"]\n  3 -> 7 [size =\"22586368\"]\n  3 -> 8 [size =\"22586368\"]\n  3 -> 9 [size =\"22586368\"]\n  3 -> 10 [size =\"22586368\"]\n  4 [size=\"82135040\", alpha=\"0.17\", expect_size=\"24640512\"] \n  4 -> 5 [size =\"24640512\"]\n  4 -> 6 [size =\"24640512\"]\n  4 -> 7 [size =\"24640512\"]\n  4 -> 10 [size =\"24640512\"]\n  5 [size=\"30859947\", alpha=\"0.11\", expect_size=\"9257984\"] \n  5 -> 13 [size =\"9257984\"]\n  5 -> 15 [size =\"9257984\"]\n  6 [size=\"164703573\", alpha=\"0.18\", expect_size=\"49411072\"] \n  6 -> 11 [size =\"49411072\"]\n  6 -> 12 [size =\"49411072\"]\n  6 -> 13 [size =\"49411072\"]\n  6 -> 14 [size =\"49411072\"]\n  6 -> 15 [size =\"49411072\"]\n  7 [size=\"52824747\", alpha=\"0.09\", expect_size=\"15847424\"] \n  7 -> 11 [size =\"15847424\"]\n  7 -> 12 [size =\"15847424\"]\n  7 -> 13 [size =\"15847424\"]\n  7 -> 14 [size =\"15847424\"]\n  8 [size=\"148998827\", alpha=\"0.16\", expect_size=\"44699648\"] \n  8 -> 11 [size =\"44699648\"]\n  8 -> 15 [size =\"44699648\"]\n  9 [size=\"124429653\", alpha=\"0.05\", expect_size=\"37328896\"] \n  9 -> 13 [size =\"37328896\"]\n  10 [size=\"51141973\", alpha=\"0.13\", expect_size=\"15342592\"] \n  10 -> 13 [size =\"15342592\"]\n  10 -> 14 [size =\"15342592\"]\n  11 [size=\"42458453\", alpha=\"0.17\", expect_size=\"12737536\"] \n  11 -> 18 [size =\"12737536\"]\n  12 [size=\"98331307\", alpha=\"0.11\", expect_size=\"29499392\"] \n  12 -> 17 [size =\"29499392\"]\n  12 -> 18 [size =\"29499392\"]\n  13 [size=\"21579093\", alpha=\"0.03\", expect_size=\"6473728\"] \n  13 -> 16 [size =\"6473728\"]\n  13 -> 19 [size =\"6473728\"]\n  14 [size=\"24825173\", alpha=\"0.09\", expect_size=\"7447552\"] \n  14 -> 17 [size =\"7447552\"]\n  15 [size=\"161181013\", alpha=\"0.03\", expect_size=\"48354304\"] \n  15 -> 16 [size =\"48354304\"]\n  15 -> 17 [size =\"48354304\"]\n  16 [size=\"89412267\", alpha=\"0.13\", expect_size=\"26823680\"] \n  16 -> 20 [size =\"26823680\"]\n  16 -> 21 [size =\"26823680\"]\n  16 -> 22 [size =\"26823680\"]\n  16 -> 23 [size =\"26823680\"]\n  16 -> 24 [size =\"26823680\"]\n  17 [size=\"70522880\", alpha=\"0.03\", expect_size=\"21156864\"] \n  17 -> 21 [size =\"21156864\"]\n  17 -> 22 [size =\"21156864\"]\n  17 -> 23 [size =\"21156864\"]\n  17 -> 24 [size =\"21156864\"]\n  18 [size=\"142219947\", alpha=\"0.08\", expect_size=\"42665984\"] \n  18 -> 21 [size =\"42665984\"]\n  18 -> 22 [size =\"42665984\"]\n  18 -> 23 [size =\"42665984\"]\n  19 [size=\"107011413\", alpha=\"0.08\", expect_size=\"32103424\"] \n  19 -> 21 [size =\"32103424\"]\n  19 -> 22 [size =\"32103424\"]\n  19 -> 23 [size =\"32103424\"]\n  20 [size=\"147418453\", alpha=\"0.18\", expect_size=\"44225536\"] \n  20 -> 26 [size =\"44225536\"]\n  20 -> 27 [size =\"44225536\"]\n  20 -> 28 [size =\"44225536\"]\n  21 [size=\"89275733\", alpha=\"0.03\", expect_size=\"26782720\"] \n  22 [size=\"63812267\", alpha=\"0.13\", expect_size=\"19143680\"] \n  22 -> 25 [size =\"19143680\"]\n  22 -> 27 [size =\"19143680\"]\n  22 -> 28 [size =\"19143680\"]\n  22 -> 29 [size =\"19143680\"]\n  23 [size=\"148869120\", alpha=\"0.10\", expect_size=\"44660736\"] \n  23 -> 25 [size =\"44660736\"]\n  24 [size=\"172250453\", alpha=\"0.15\", expect_size=\"51675136\"] \n  24 -> 25 [size =\"51675136\"]\n  25 [size=\"87524693\", alpha=\"0.03\", expect_size=\"26257408\"] \n  25 -> 30 [size =\"26257408\"]\n  25 -> 33 [size =\"26257408\"]\n  25 -> 33 [size =\"26257408\"]\n  26 [size=\"107366400\", alpha=\"0.09\", expect_size=\"32209920\"] \n  26 -> 30 [size =\"32209920\"]\n  27 [size=\"50636800\", alpha=\"0.19\", expect_size=\"15191040\"] \n  27 -> 30 [size =\"15191040\"]\n  27 -> 33 [size =\"15191040\"]\n  28 [size=\"77612373\", alpha=\"0.06\", expect_size=\"23283712\"] \n  28 -> 31 [size =\"23283712\"]\n  28 -> 32 [size =\"23283712\"]\n  28 -> 33 [size =\"23283712\"]\n  29 [size=\"141216427\", alpha=\"0.07\", expect_size=\"42364928\"] \n  29 -> 31 [size =\"42364928\"]\n  29 -> 32 [size =\"42364928\"]\n  29 -> 33 [size =\"42364928\"]\n  30 [size=\"46622720\", alpha=\"0.12\", expect_size=\"13986816\"] \n  30 -> 35 [size =\"13986816\"]\n  31 [size=\"33894400\", alpha=\"0.00\", expect_size=\"10168320\"] \n  31 -> 34 [size =\"10168320\"]\n  31 -> 35 [size =\"10168320\"]\n  32 [size=\"54272000\", alpha=\"0.19\", expect_size=\"16281600\"] \n  32 -> 34 [size =\"16281600\"]\n  32 -> 35 [size =\"16281600\"]\n  33 [size=\"152879787\", alpha=\"0.18\", expect_size=\"45863936\"] \n  33 -> 34 [size =\"45863936\"]\n  33 -> 35 [size =\"45863936\"]\n  34 [size=\"72953173\", alpha=\"0.18\", expect_size=\"21885952\"] \n  35 [size=\"36444160\", alpha=\"0.16\", expect_size=\"10933248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115023360\", alpha=\"0.18\", expect_size=\"46009344\"] \n  1 -> 19 [size =\"46009344\"]\n  1 -> 21 [size =\"46009344\"]\n  1 -> 23 [size =\"46009344\"]\n  1 -> 24 [size =\"46009344\"]\n  1 -> 31 [size =\"46009344\"]\n  1 -> 33 [size =\"46009344\"]\n  1 -> 33 [size =\"46009344\"]\n  1 -> 34 [size =\"46009344\"]\n  1 -> 35 [size =\"46009344\"]\n  2 [size=\"67947520\", alpha=\"0.11\", expect_size=\"27179008\"] \n  2 -> 19 [size =\"27179008\"]\n  2 -> 21 [size =\"27179008\"]\n  2 -> 23 [size =\"27179008\"]\n  2 -> 24 [size =\"27179008\"]\n  2 -> 31 [size =\"27179008\"]\n  2 -> 34 [size =\"27179008\"]\n  2 -> 35 [size =\"27179008\"]\n  3 [size=\"107179520\", alpha=\"0.17\", expect_size=\"42871808\"] \n  3 -> 19 [size =\"42871808\"]\n  3 -> 20 [size =\"42871808\"]\n  3 -> 21 [size =\"42871808\"]\n  3 -> 23 [size =\"42871808\"]\n  3 -> 24 [size =\"42871808\"]\n  3 -> 31 [size =\"42871808\"]\n  3 -> 34 [size =\"42871808\"]\n  4 [size=\"25694720\", alpha=\"0.12\", expect_size=\"10277888\"] \n  4 -> 18 [size =\"10277888\"]\n  4 -> 19 [size =\"10277888\"]\n  4 -> 20 [size =\"10277888\"]\n  4 -> 21 [size =\"10277888\"]\n  4 -> 23 [size =\"10277888\"]\n  4 -> 24 [size =\"10277888\"]\n  4 -> 28 [size =\"10277888\"]\n  4 -> 30 [size =\"10277888\"]\n  4 -> 31 [size =\"10277888\"]\n  4 -> 33 [size =\"10277888\"]\n  4 -> 34 [size =\"10277888\"]\n  5 [size=\"53952000\", alpha=\"0.18\", expect_size=\"21580800\"] \n  5 -> 19 [size =\"21580800\"]\n  5 -> 19 [size =\"21580800\"]\n  5 -> 21 [size =\"21580800\"]\n  5 -> 23 [size =\"21580800\"]\n  5 -> 23 [size =\"21580800\"]\n  5 -> 24 [size =\"21580800\"]\n  5 -> 27 [size =\"21580800\"]\n  5 -> 35 [size =\"21580800\"]\n  6 [size=\"64363520\", alpha=\"0.04\", expect_size=\"25745408\"] \n  6 -> 20 [size =\"25745408\"]\n  6 -> 22 [size =\"25745408\"]\n  6 -> 23 [size =\"25745408\"]\n  6 -> 24 [size =\"25745408\"]\n  6 -> 25 [size =\"25745408\"]\n  6 -> 27 [size =\"25745408\"]\n  6 -> 29 [size =\"25745408\"]\n  6 -> 31 [size =\"25745408\"]\n  6 -> 32 [size =\"25745408\"]\n  6 -> 35 [size =\"25745408\"]\n  7 [size=\"39531520\", alpha=\"0.19\", expect_size=\"15812608\"] \n  7 -> 20 [size =\"15812608\"]\n  7 -> 22 [size =\"15812608\"]\n  7 -> 24 [size =\"15812608\"]\n  7 -> 26 [size =\"15812608\"]\n  7 -> 27 [size =\"15812608\"]\n  7 -> 28 [size =\"15812608\"]\n  7 -> 29 [size =\"15812608\"]\n  8 [size=\"92341760\", alpha=\"0.17\", expect_size=\"36936704\"] \n  8 -> 19 [size =\"36936704\"]\n  8 -> 21 [size =\"36936704\"]\n  8 -> 22 [size =\"36936704\"]\n  8 -> 23 [size =\"36936704\"]\n  8 -> 24 [size =\"36936704\"]\n  8 -> 25 [size =\"36936704\"]\n  8 -> 30 [size =\"36936704\"]\n  8 -> 31 [size =\"36936704\"]\n  9 [size=\"88222720\", alpha=\"0.03\", expect_size=\"35289088\"] \n  9 -> 20 [size =\"35289088\"]\n  9 -> 21 [size =\"35289088\"]\n  9 -> 22 [size =\"35289088\"]\n  9 -> 23 [size =\"35289088\"]\n  9 -> 24 [size =\"35289088\"]\n  9 -> 29 [size =\"35289088\"]\n  9 -> 30 [size =\"35289088\"]\n  10 [size=\"66818560\", alpha=\"0.03\", expect_size=\"26727424\"] \n  10 -> 19 [size =\"26727424\"]\n  10 -> 22 [size =\"26727424\"]\n  10 -> 23 [size =\"26727424\"]\n  10 -> 23 [size =\"26727424\"]\n  10 -> 24 [size =\"26727424\"]\n  10 -> 25 [size =\"26727424\"]\n  10 -> 27 [size =\"26727424\"]\n  10 -> 28 [size =\"26727424\"]\n  10 -> 29 [size =\"26727424\"]\n  10 -> 31 [size =\"26727424\"]\n  10 -> 35 [size =\"26727424\"]\n  11 [size=\"27732480\", alpha=\"0.06\", expect_size=\"11092992\"] \n  11 -> 18 [size =\"11092992\"]\n  11 -> 19 [size =\"11092992\"]\n  11 -> 21 [size =\"11092992\"]\n  11 -> 23 [size =\"11092992\"]\n  11 -> 24 [size =\"11092992\"]\n  11 -> 27 [size =\"11092992\"]\n  11 -> 29 [size =\"11092992\"]\n  11 -> 31 [size =\"11092992\"]\n  11 -> 34 [size =\"11092992\"]\n  11 -> 35 [size =\"11092992\"]\n  12 [size=\"16007680\", alpha=\"0.08\", expect_size=\"6403072\"] \n  12 -> 18 [size =\"6403072\"]\n  12 -> 19 [size =\"6403072\"]\n  12 -> 21 [size =\"6403072\"]\n  12 -> 23 [size =\"6403072\"]\n  12 -> 24 [size =\"6403072\"]\n  12 -> 28 [size =\"6403072\"]\n  12 -> 29 [size =\"6403072\"]\n  12 -> 31 [size =\"6403072\"]\n  12 -> 33 [size =\"6403072\"]\n  12 -> 34 [size =\"6403072\"]\n  12 -> 35 [size =\"6403072\"]\n  13 [size=\"78883840\", alpha=\"0.05\", expect_size=\"31553536\"] \n  13 -> 18 [size =\"31553536\"]\n  13 -> 19 [size =\"31553536\"]\n  13 -> 20 [size =\"31553536\"]\n  13 -> 21 [size =\"31553536\"]\n  13 -> 27 [size =\"31553536\"]\n  13 -> 29 [size =\"31553536\"]\n  13 -> 29 [size =\"31553536\"]\n  13 -> 31 [size =\"31553536\"]\n  13 -> 33 [size =\"31553536\"]\n  13 -> 35 [size =\"31553536\"]\n  14 [size=\"63777280\", alpha=\"0.05\", expect_size=\"25510912\"] \n  14 -> 19 [size =\"25510912\"]\n  14 -> 19 [size =\"25510912\"]\n  14 -> 21 [size =\"25510912\"]\n  14 -> 21 [size =\"25510912\"]\n  14 -> 22 [size =\"25510912\"]\n  14 -> 23 [size =\"25510912\"]\n  14 -> 24 [size =\"25510912\"]\n  14 -> 26 [size =\"25510912\"]\n  14 -> 27 [size =\"25510912\"]\n  14 -> 29 [size =\"25510912\"]\n  14 -> 31 [size =\"25510912\"]\n  14 -> 33 [size =\"25510912\"]\n  14 -> 34 [size =\"25510912\"]\n  14 -> 35 [size =\"25510912\"]\n  15 [size=\"18106880\", alpha=\"0.05\", expect_size=\"7242752\"] \n  15 -> 19 [size =\"7242752\"]\n  15 -> 21 [size =\"7242752\"]\n  15 -> 23 [size =\"7242752\"]\n  15 -> 27 [size =\"7242752\"]\n  15 -> 28 [size =\"7242752\"]\n  15 -> 30 [size =\"7242752\"]\n  15 -> 31 [size =\"7242752\"]\n  15 -> 33 [size =\"7242752\"]\n  15 -> 34 [size =\"7242752\"]\n  15 -> 35 [size =\"7242752\"]\n  16 [size=\"121973760\", alpha=\"0.19\", expect_size=\"48789504\"] \n  16 -> 19 [size =\"48789504\"]\n  16 -> 22 [size =\"48789504\"]\n  16 -> 27 [size =\"48789504\"]\n  16 -> 27 [size =\"48789504\"]\n  16 -> 28 [size =\"48789504\"]\n  16 -> 31 [size =\"48789504\"]\n  16 -> 31 [size =\"48789504\"]\n  16 -> 33 [size =\"48789504\"]\n  16 -> 35 [size =\"48789504\"]\n  16 -> 35 [size =\"48789504\"]\n  17 [size=\"26004480\", alpha=\"0.05\", expect_size=\"10401792\"] \n  17 -> 19 [size =\"10401792\"]\n  17 -> 21 [size =\"10401792\"]\n  17 -> 24 [size =\"10401792\"]\n  17 -> 28 [size =\"10401792\"]\n  17 -> 31 [size =\"10401792\"]\n  17 -> 32 [size =\"10401792\"]\n  17 -> 33 [size =\"10401792\"]\n  17 -> 33 [size =\"10401792\"]\n  17 -> 35 [size =\"10401792\"]\n  18 [size=\"19417600\", alpha=\"0.04\", expect_size=\"7767040\"] \n  19 [size=\"117570560\", alpha=\"0.02\", expect_size=\"47028224\"] \n  20 [size=\"15270400\", alpha=\"0.11\", expect_size=\"6108160\"] \n  21 [size=\"35059200\", alpha=\"0.17\", expect_size=\"14023680\"] \n  22 [size=\"68812800\", alpha=\"0.13\", expect_size=\"27525120\"] \n  23 [size=\"113448960\", alpha=\"0.05\", expect_size=\"45379584\"] \n  24 [size=\"25157120\", alpha=\"0.18\", expect_size=\"10062848\"] \n  25 [size=\"54888960\", alpha=\"0.19\", expect_size=\"21955584\"] \n  26 [size=\"87129600\", alpha=\"0.08\", expect_size=\"34851840\"] \n  27 [size=\"83056640\", alpha=\"0.02\", expect_size=\"33222656\"] \n  28 [size=\"110238720\", alpha=\"0.09\", expect_size=\"44095488\"] \n  29 [size=\"15022080\", alpha=\"0.09\", expect_size=\"6008832\"] \n  30 [size=\"27312640\", alpha=\"0.18\", expect_size=\"10925056\"] \n  31 [size=\"92784640\", alpha=\"0.10\", expect_size=\"37113856\"] \n  32 [size=\"77427200\", alpha=\"0.02\", expect_size=\"30970880\"] \n  33 [size=\"36080640\", alpha=\"0.05\", expect_size=\"14432256\"] \n  34 [size=\"62819840\", alpha=\"0.17\", expect_size=\"25127936\"] \n  35 [size=\"52267520\", alpha=\"0.09\", expect_size=\"20907008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83213653\", alpha=\"0.06\", expect_size=\"24964096\"] \n  1 -> 3 [size =\"24964096\"]\n  2 [size=\"105728000\", alpha=\"0.07\", expect_size=\"31718400\"] \n  3 [size=\"31450453\", alpha=\"0.02\", expect_size=\"9435136\"] \n  3 -> 4 [size =\"9435136\"]\n  3 -> 5 [size =\"9435136\"]\n  4 [size=\"109506560\", alpha=\"0.17\", expect_size=\"32851968\"] \n  5 [size=\"152067413\", alpha=\"0.03\", expect_size=\"45620224\"] \n  5 -> 6 [size =\"45620224\"]\n  5 -> 7 [size =\"45620224\"]\n  6 [size=\"93190827\", alpha=\"0.14\", expect_size=\"27957248\"] \n  6 -> 8 [size =\"27957248\"]\n  7 [size=\"76567893\", alpha=\"0.01\", expect_size=\"22970368\"] \n  8 [size=\"32672427\", alpha=\"0.10\", expect_size=\"9801728\"] \n  8 -> 9 [size =\"9801728\"]\n  8 -> 10 [size =\"9801728\"]\n  9 [size=\"71932587\", alpha=\"0.11\", expect_size=\"21579776\"] \n  9 -> 11 [size =\"21579776\"]\n  10 [size=\"153374720\", alpha=\"0.09\", expect_size=\"46012416\"] \n  10 -> 11 [size =\"46012416\"]\n  11 [size=\"52640427\", alpha=\"0.08\", expect_size=\"15792128\"] \n  11 -> 12 [size =\"15792128\"]\n  11 -> 13 [size =\"15792128\"]\n  12 [size=\"100300800\", alpha=\"0.04\", expect_size=\"30090240\"] \n  12 -> 14 [size =\"30090240\"]\n  13 [size=\"152729600\", alpha=\"0.18\", expect_size=\"45818880\"] \n  13 -> 14 [size =\"45818880\"]\n  14 [size=\"166690133\", alpha=\"0.11\", expect_size=\"50007040\"] \n  14 -> 15 [size =\"50007040\"]\n  14 -> 16 [size =\"50007040\"]\n  15 [size=\"143373653\", alpha=\"0.03\", expect_size=\"43012096\"] \n  15 -> 17 [size =\"43012096\"]\n  15 -> 18 [size =\"43012096\"]\n  16 [size=\"170311680\", alpha=\"0.03\", expect_size=\"51093504\"] \n  16 -> 18 [size =\"51093504\"]\n  17 [size=\"126259200\", alpha=\"0.11\", expect_size=\"37877760\"] \n  18 [size=\"131003733\", alpha=\"0.06\", expect_size=\"39301120\"] \n  18 -> 19 [size =\"39301120\"]\n  19 [size=\"49066667\", alpha=\"0.01\", expect_size=\"14720000\"] \n  19 -> 20 [size =\"14720000\"]\n  20 [size=\"138294613\", alpha=\"0.13\", expect_size=\"41488384\"] \n  20 -> 21 [size =\"41488384\"]\n  20 -> 22 [size =\"41488384\"]\n  21 [size=\"52077227\", alpha=\"0.13\", expect_size=\"15623168\"] \n  22 [size=\"112817493\", alpha=\"0.04\", expect_size=\"33845248\"] \n  22 -> 23 [size =\"33845248\"]\n  23 [size=\"144738987\", alpha=\"0.17\", expect_size=\"43421696\"] \n  23 -> 24 [size =\"43421696\"]\n  24 [size=\"129331200\", alpha=\"0.02\", expect_size=\"38799360\"] \n  24 -> 25 [size =\"38799360\"]\n  25 [size=\"62061227\", alpha=\"0.04\", expect_size=\"18618368\"] \n  25 -> 26 [size =\"18618368\"]\n  25 -> 27 [size =\"18618368\"]\n  26 [size=\"85838507\", alpha=\"0.16\", expect_size=\"25751552\"] \n  26 -> 28 [size =\"25751552\"]\n  27 [size=\"107967147\", alpha=\"0.15\", expect_size=\"32390144\"] \n  27 -> 28 [size =\"32390144\"]\n  28 [size=\"39253333\", alpha=\"0.16\", expect_size=\"11776000\"] \n  28 -> 29 [size =\"11776000\"]\n  28 -> 30 [size =\"11776000\"]\n  29 [size=\"89224533\", alpha=\"0.04\", expect_size=\"26767360\"] \n  29 -> 32 [size =\"26767360\"]\n  30 [size=\"95259307\", alpha=\"0.10\", expect_size=\"28577792\"] \n  30 -> 31 [size =\"28577792\"]\n  30 -> 32 [size =\"28577792\"]\n  31 [size=\"37249707\", alpha=\"0.20\", expect_size=\"11174912\"] \n  31 -> 33 [size =\"11174912\"]\n  31 -> 34 [size =\"11174912\"]\n  32 [size=\"138222933\", alpha=\"0.20\", expect_size=\"41466880\"] \n  32 -> 33 [size =\"41466880\"]\n  32 -> 34 [size =\"41466880\"]\n  33 [size=\"171857920\", alpha=\"0.17\", expect_size=\"51557376\"] \n  34 [size=\"152132267\", alpha=\"0.14\", expect_size=\"45639680\"] \n  34 -> 35 [size =\"45639680\"]\n  35 [size=\"171079680\", alpha=\"0.06\", expect_size=\"51323904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146073600\", alpha=\"0.08\", expect_size=\"43822080\"] \n  2 [size=\"38345387\", alpha=\"0.11\", expect_size=\"11503616\"] \n  3 [size=\"128890880\", alpha=\"0.14\", expect_size=\"38667264\"] \n  4 [size=\"159692800\", alpha=\"0.12\", expect_size=\"47907840\"] \n  5 [size=\"66757973\", alpha=\"0.17\", expect_size=\"20027392\"] \n  6 [size=\"33071787\", alpha=\"0.09\", expect_size=\"9921536\"] \n  7 [size=\"68556800\", alpha=\"0.09\", expect_size=\"20567040\"] \n  8 [size=\"55982080\", alpha=\"0.07\", expect_size=\"16794624\"] \n  9 [size=\"54736213\", alpha=\"0.04\", expect_size=\"16420864\"] \n  10 [size=\"172933120\", alpha=\"0.08\", expect_size=\"51879936\"] \n  11 [size=\"167563947\", alpha=\"0.09\", expect_size=\"50269184\"] \n  12 [size=\"72519680\", alpha=\"0.16\", expect_size=\"21755904\"] \n  13 [size=\"156306773\", alpha=\"0.17\", expect_size=\"46892032\"] \n  14 [size=\"110312107\", alpha=\"0.12\", expect_size=\"33093632\"] \n  15 [size=\"47503360\", alpha=\"0.18\", expect_size=\"14251008\"] \n  16 [size=\"24528213\", alpha=\"0.17\", expect_size=\"7358464\"] \n  17 [size=\"96587093\", alpha=\"0.08\", expect_size=\"28976128\"] \n  18 [size=\"171117227\", alpha=\"0.10\", expect_size=\"51335168\"] \n  19 [size=\"72226133\", alpha=\"0.20\", expect_size=\"21667840\"] \n  20 [size=\"100853760\", alpha=\"0.14\", expect_size=\"30256128\"] \n  21 [size=\"163966293\", alpha=\"0.04\", expect_size=\"49189888\"] \n  22 [size=\"81056427\", alpha=\"0.17\", expect_size=\"24316928\"] \n  23 [size=\"52346880\", alpha=\"0.04\", expect_size=\"15704064\"] \n  24 [size=\"26013013\", alpha=\"0.09\", expect_size=\"7803904\"] \n  25 [size=\"117497173\", alpha=\"0.00\", expect_size=\"35249152\"] \n  26 [size=\"99870720\", alpha=\"0.14\", expect_size=\"29961216\"] \n  27 [size=\"79704747\", alpha=\"0.14\", expect_size=\"23911424\"] \n  28 [size=\"138833920\", alpha=\"0.18\", expect_size=\"41650176\"] \n  29 [size=\"63460693\", alpha=\"0.08\", expect_size=\"19038208\"] \n  30 [size=\"60788053\", alpha=\"0.17\", expect_size=\"18236416\"] \n  31 [size=\"167304533\", alpha=\"0.06\", expect_size=\"50191360\"] \n  32 [size=\"39751680\", alpha=\"0.01\", expect_size=\"11925504\"] \n  33 [size=\"170861227\", alpha=\"0.14\", expect_size=\"51258368\"] \n  34 [size=\"42898773\", alpha=\"0.19\", expect_size=\"12869632\"] \n  35 [size=\"112660480\", alpha=\"0.07\", expect_size=\"33798144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53340160\", alpha=\"0.13\", expect_size=\"26670080\"] \n  1 -> 2 [size =\"26670080\"]\n  2 [size=\"34058240\", alpha=\"0.00\", expect_size=\"17029120\"] \n  2 -> 3 [size =\"17029120\"]\n  3 [size=\"26501120\", alpha=\"0.08\", expect_size=\"13250560\"] \n  3 -> 4 [size =\"13250560\"]\n  4 [size=\"18309120\", alpha=\"0.04\", expect_size=\"9154560\"] \n  4 -> 5 [size =\"9154560\"]\n  5 [size=\"61546496\", alpha=\"0.01\", expect_size=\"30773248\"] \n  5 -> 6 [size =\"30773248\"]\n  6 [size=\"27914240\", alpha=\"0.12\", expect_size=\"13957120\"] \n  6 -> 7 [size =\"13957120\"]\n  7 [size=\"41601024\", alpha=\"0.09\", expect_size=\"20800512\"] \n  7 -> 8 [size =\"20800512\"]\n  8 [size=\"12288000\", alpha=\"0.10\", expect_size=\"6144000\"] \n  8 -> 9 [size =\"6144000\"]\n  9 [size=\"75194368\", alpha=\"0.03\", expect_size=\"37597184\"] \n  9 -> 10 [size =\"37597184\"]\n  10 [size=\"13697024\", alpha=\"0.19\", expect_size=\"6848512\"] \n  10 -> 11 [size =\"6848512\"]\n  11 [size=\"49874944\", alpha=\"0.11\", expect_size=\"24937472\"] \n  11 -> 12 [size =\"24937472\"]\n  12 [size=\"15632384\", alpha=\"0.05\", expect_size=\"7816192\"] \n  12 -> 13 [size =\"7816192\"]\n  13 [size=\"16857088\", alpha=\"0.01\", expect_size=\"8428544\"] \n  13 -> 14 [size =\"8428544\"]\n  14 [size=\"56035328\", alpha=\"0.02\", expect_size=\"28017664\"] \n  14 -> 15 [size =\"28017664\"]\n  15 [size=\"73684992\", alpha=\"0.04\", expect_size=\"36842496\"] \n  15 -> 16 [size =\"36842496\"]\n  16 [size=\"76544000\", alpha=\"0.19\", expect_size=\"38272000\"] \n  16 -> 17 [size =\"38272000\"]\n  17 [size=\"39845888\", alpha=\"0.11\", expect_size=\"19922944\"] \n  17 -> 18 [size =\"19922944\"]\n  18 [size=\"81358848\", alpha=\"0.01\", expect_size=\"40679424\"] \n  18 -> 19 [size =\"40679424\"]\n  19 [size=\"35196928\", alpha=\"0.07\", expect_size=\"17598464\"] \n  19 -> 20 [size =\"17598464\"]\n  20 [size=\"48560128\", alpha=\"0.02\", expect_size=\"24280064\"] \n  20 -> 21 [size =\"24280064\"]\n  21 [size=\"43698176\", alpha=\"0.06\", expect_size=\"21849088\"] \n  21 -> 22 [size =\"21849088\"]\n  22 [size=\"94711808\", alpha=\"0.15\", expect_size=\"47355904\"] \n  22 -> 23 [size =\"47355904\"]\n  23 [size=\"24623104\", alpha=\"0.08\", expect_size=\"12311552\"] \n  23 -> 24 [size =\"12311552\"]\n  24 [size=\"28880896\", alpha=\"0.02\", expect_size=\"14440448\"] \n  24 -> 25 [size =\"14440448\"]\n  25 [size=\"40206336\", alpha=\"0.07\", expect_size=\"20103168\"] \n  25 -> 26 [size =\"20103168\"]\n  26 [size=\"59478016\", alpha=\"0.16\", expect_size=\"29739008\"] \n  26 -> 27 [size =\"29739008\"]\n  27 [size=\"53182464\", alpha=\"0.11\", expect_size=\"26591232\"] \n  27 -> 28 [size =\"26591232\"]\n  28 [size=\"104558592\", alpha=\"0.07\", expect_size=\"52279296\"] \n  28 -> 29 [size =\"52279296\"]\n  29 [size=\"13096960\", alpha=\"0.16\", expect_size=\"6548480\"] \n  29 -> 30 [size =\"6548480\"]\n  30 [size=\"44349440\", alpha=\"0.07\", expect_size=\"22174720\"] \n  30 -> 31 [size =\"22174720\"]\n  31 [size=\"52572160\", alpha=\"0.05\", expect_size=\"26286080\"] \n  31 -> 32 [size =\"26286080\"]\n  32 [size=\"80621568\", alpha=\"0.05\", expect_size=\"40310784\"] \n  32 -> 33 [size =\"40310784\"]\n  33 [size=\"57698304\", alpha=\"0.06\", expect_size=\"28849152\"] \n  33 -> 34 [size =\"28849152\"]\n  34 [size=\"94191616\", alpha=\"0.16\", expect_size=\"47095808\"] \n  34 -> 35 [size =\"47095808\"]\n  35 [size=\"103555072\", alpha=\"0.00\", expect_size=\"51777536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56419840\", alpha=\"0.10\", expect_size=\"22567936\"] \n  1 -> 15 [size =\"22567936\"]\n  2 [size=\"58693120\", alpha=\"0.11\", expect_size=\"23477248\"] \n  2 -> 15 [size =\"23477248\"]\n  2 -> 16 [size =\"23477248\"]\n  2 -> 17 [size =\"23477248\"]\n  2 -> 19 [size =\"23477248\"]\n  2 -> 22 [size =\"23477248\"]\n  3 [size=\"123944960\", alpha=\"0.04\", expect_size=\"49577984\"] \n  3 -> 13 [size =\"49577984\"]\n  3 -> 16 [size =\"49577984\"]\n  3 -> 19 [size =\"49577984\"]\n  3 -> 20 [size =\"49577984\"]\n  3 -> 22 [size =\"49577984\"]\n  4 [size=\"74150400\", alpha=\"0.14\", expect_size=\"29660160\"] \n  4 -> 12 [size =\"29660160\"]\n  4 -> 19 [size =\"29660160\"]\n  4 -> 22 [size =\"29660160\"]\n  5 [size=\"51100160\", alpha=\"0.15\", expect_size=\"20440064\"] \n  5 -> 13 [size =\"20440064\"]\n  5 -> 17 [size =\"20440064\"]\n  5 -> 18 [size =\"20440064\"]\n  5 -> 21 [size =\"20440064\"]\n  5 -> 22 [size =\"20440064\"]\n  6 [size=\"68316160\", alpha=\"0.04\", expect_size=\"27326464\"] \n  6 -> 14 [size =\"27326464\"]\n  6 -> 21 [size =\"27326464\"]\n  7 [size=\"19156480\", alpha=\"0.06\", expect_size=\"7662592\"] \n  7 -> 13 [size =\"7662592\"]\n  7 -> 17 [size =\"7662592\"]\n  8 [size=\"30630400\", alpha=\"0.09\", expect_size=\"12252160\"] \n  8 -> 13 [size =\"12252160\"]\n  8 -> 18 [size =\"12252160\"]\n  8 -> 19 [size =\"12252160\"]\n  8 -> 20 [size =\"12252160\"]\n  9 [size=\"54638080\", alpha=\"0.17\", expect_size=\"21855232\"] \n  9 -> 13 [size =\"21855232\"]\n  9 -> 15 [size =\"21855232\"]\n  9 -> 17 [size =\"21855232\"]\n  9 -> 21 [size =\"21855232\"]\n  9 -> 22 [size =\"21855232\"]\n  10 [size=\"101621760\", alpha=\"0.03\", expect_size=\"40648704\"] \n  10 -> 15 [size =\"40648704\"]\n  10 -> 16 [size =\"40648704\"]\n  10 -> 18 [size =\"40648704\"]\n  11 [size=\"63278080\", alpha=\"0.17\", expect_size=\"25311232\"] \n  11 -> 19 [size =\"25311232\"]\n  11 -> 22 [size =\"25311232\"]\n  12 [size=\"119367680\", alpha=\"0.12\", expect_size=\"47747072\"] \n  12 -> 25 [size =\"47747072\"]\n  12 -> 32 [size =\"47747072\"]\n  13 [size=\"65676800\", alpha=\"0.00\", expect_size=\"26270720\"] \n  13 -> 24 [size =\"26270720\"]\n  13 -> 26 [size =\"26270720\"]\n  13 -> 30 [size =\"26270720\"]\n  14 [size=\"89789440\", alpha=\"0.06\", expect_size=\"35915776\"] \n  14 -> 23 [size =\"35915776\"]\n  14 -> 24 [size =\"35915776\"]\n  15 [size=\"53319680\", alpha=\"0.16\", expect_size=\"21327872\"] \n  15 -> 26 [size =\"21327872\"]\n  15 -> 27 [size =\"21327872\"]\n  15 -> 31 [size =\"21327872\"]\n  16 [size=\"21409280\", alpha=\"0.02\", expect_size=\"8563712\"] \n  16 -> 31 [size =\"8563712\"]\n  17 [size=\"43740160\", alpha=\"0.05\", expect_size=\"17496064\"] \n  17 -> 25 [size =\"17496064\"]\n  17 -> 28 [size =\"17496064\"]\n  17 -> 32 [size =\"17496064\"]\n  18 [size=\"77736960\", alpha=\"0.11\", expect_size=\"31094784\"] \n  18 -> 23 [size =\"31094784\"]\n  18 -> 25 [size =\"31094784\"]\n  18 -> 32 [size =\"31094784\"]\n  18 -> 33 [size =\"31094784\"]\n  19 [size=\"14330880\", alpha=\"0.20\", expect_size=\"5732352\"] \n  19 -> 29 [size =\"5732352\"]\n  19 -> 31 [size =\"5732352\"]\n  19 -> 32 [size =\"5732352\"]\n  19 -> 33 [size =\"5732352\"]\n  20 [size=\"116221440\", alpha=\"0.18\", expect_size=\"46488576\"] \n  20 -> 26 [size =\"46488576\"]\n  20 -> 28 [size =\"46488576\"]\n  20 -> 31 [size =\"46488576\"]\n  20 -> 32 [size =\"46488576\"]\n  21 [size=\"15439360\", alpha=\"0.03\", expect_size=\"6175744\"] \n  21 -> 23 [size =\"6175744\"]\n  21 -> 30 [size =\"6175744\"]\n  22 [size=\"118443520\", alpha=\"0.17\", expect_size=\"47377408\"] \n  22 -> 26 [size =\"47377408\"]\n  22 -> 30 [size =\"47377408\"]\n  22 -> 32 [size =\"47377408\"]\n  22 -> 33 [size =\"47377408\"]\n  23 [size=\"72401920\", alpha=\"0.09\", expect_size=\"28960768\"] \n  24 [size=\"73067520\", alpha=\"0.11\", expect_size=\"29227008\"] \n  24 -> 35 [size =\"29227008\"]\n  25 [size=\"105792000\", alpha=\"0.00\", expect_size=\"42316800\"] \n  25 -> 34 [size =\"42316800\"]\n  26 [size=\"84213760\", alpha=\"0.19\", expect_size=\"33685504\"] \n  27 [size=\"97057280\", alpha=\"0.18\", expect_size=\"38822912\"] \n  28 [size=\"124884480\", alpha=\"0.00\", expect_size=\"49953792\"] \n  28 -> 35 [size =\"49953792\"]\n  29 [size=\"69913600\", alpha=\"0.10\", expect_size=\"27965440\"] \n  30 [size=\"67481600\", alpha=\"0.14\", expect_size=\"26992640\"] \n  30 -> 35 [size =\"26992640\"]\n  31 [size=\"54901760\", alpha=\"0.07\", expect_size=\"21960704\"] \n  32 [size=\"75486720\", alpha=\"0.18\", expect_size=\"30194688\"] \n  32 -> 35 [size =\"30194688\"]\n  33 [size=\"56860160\", alpha=\"0.17\", expect_size=\"22744064\"] \n  33 -> 34 [size =\"22744064\"]\n  33 -> 35 [size =\"22744064\"]\n  34 [size=\"109862400\", alpha=\"0.10\", expect_size=\"43944960\"] \n  35 [size=\"59604480\", alpha=\"0.10\", expect_size=\"23841792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54566912\", alpha=\"0.15\", expect_size=\"27283456\"] \n  1 -> 4 [size =\"27283456\"]\n  2 [size=\"68968448\", alpha=\"0.07\", expect_size=\"34484224\"] \n  2 -> 3 [size =\"34484224\"]\n  3 [size=\"62623744\", alpha=\"0.02\", expect_size=\"31311872\"] \n  3 -> 5 [size =\"31311872\"]\n  4 [size=\"26611712\", alpha=\"0.00\", expect_size=\"13305856\"] \n  4 -> 5 [size =\"13305856\"]\n  4 -> 6 [size =\"13305856\"]\n  5 [size=\"56737792\", alpha=\"0.04\", expect_size=\"28368896\"] \n  6 [size=\"28653568\", alpha=\"0.11\", expect_size=\"14326784\"] \n  6 -> 7 [size =\"14326784\"]\n  7 [size=\"96606208\", alpha=\"0.05\", expect_size=\"48303104\"] \n  7 -> 8 [size =\"48303104\"]\n  8 [size=\"97929216\", alpha=\"0.10\", expect_size=\"48964608\"] \n  8 -> 9 [size =\"48964608\"]\n  9 [size=\"61923328\", alpha=\"0.02\", expect_size=\"30961664\"] \n  9 -> 10 [size =\"30961664\"]\n  9 -> 11 [size =\"30961664\"]\n  10 [size=\"26621952\", alpha=\"0.01\", expect_size=\"13310976\"] \n  11 [size=\"103032832\", alpha=\"0.18\", expect_size=\"51516416\"] \n  11 -> 12 [size =\"51516416\"]\n  11 -> 13 [size =\"51516416\"]\n  12 [size=\"80525312\", alpha=\"0.03\", expect_size=\"40262656\"] \n  12 -> 14 [size =\"40262656\"]\n  13 [size=\"21084160\", alpha=\"0.05\", expect_size=\"10542080\"] \n  14 [size=\"31969280\", alpha=\"0.02\", expect_size=\"15984640\"] \n  14 -> 15 [size =\"15984640\"]\n  14 -> 16 [size =\"15984640\"]\n  15 [size=\"32522240\", alpha=\"0.05\", expect_size=\"16261120\"] \n  15 -> 17 [size =\"16261120\"]\n  16 [size=\"49397760\", alpha=\"0.07\", expect_size=\"24698880\"] \n  17 [size=\"99489792\", alpha=\"0.18\", expect_size=\"49744896\"] \n  17 -> 18 [size =\"49744896\"]\n  17 -> 19 [size =\"49744896\"]\n  18 [size=\"29245440\", alpha=\"0.12\", expect_size=\"14622720\"] \n  18 -> 20 [size =\"14622720\"]\n  19 [size=\"78002176\", alpha=\"0.10\", expect_size=\"39001088\"] \n  19 -> 20 [size =\"39001088\"]\n  20 [size=\"86667264\", alpha=\"0.03\", expect_size=\"43333632\"] \n  20 -> 21 [size =\"43333632\"]\n  21 [size=\"90109952\", alpha=\"0.06\", expect_size=\"45054976\"] \n  21 -> 22 [size =\"45054976\"]\n  22 [size=\"82112512\", alpha=\"0.02\", expect_size=\"41056256\"] \n  22 -> 23 [size =\"41056256\"]\n  22 -> 24 [size =\"41056256\"]\n  23 [size=\"95707136\", alpha=\"0.08\", expect_size=\"47853568\"] \n  24 [size=\"23066624\", alpha=\"0.18\", expect_size=\"11533312\"] \n  24 -> 25 [size =\"11533312\"]\n  25 [size=\"33792000\", alpha=\"0.18\", expect_size=\"16896000\"] \n  25 -> 26 [size =\"16896000\"]\n  25 -> 27 [size =\"16896000\"]\n  26 [size=\"55988224\", alpha=\"0.01\", expect_size=\"27994112\"] \n  27 [size=\"87771136\", alpha=\"0.03\", expect_size=\"43885568\"] \n  27 -> 28 [size =\"43885568\"]\n  27 -> 29 [size =\"43885568\"]\n  28 [size=\"78462976\", alpha=\"0.03\", expect_size=\"39231488\"] \n  28 -> 30 [size =\"39231488\"]\n  28 -> 31 [size =\"39231488\"]\n  29 [size=\"39993344\", alpha=\"0.14\", expect_size=\"19996672\"] \n  30 [size=\"84852736\", alpha=\"0.09\", expect_size=\"42426368\"] \n  30 -> 32 [size =\"42426368\"]\n  30 -> 33 [size =\"42426368\"]\n  31 [size=\"99794944\", alpha=\"0.03\", expect_size=\"49897472\"] \n  32 [size=\"34529280\", alpha=\"0.12\", expect_size=\"17264640\"] \n  32 -> 34 [size =\"17264640\"]\n  33 [size=\"41910272\", alpha=\"0.04\", expect_size=\"20955136\"] \n  33 -> 35 [size =\"20955136\"]\n  34 [size=\"79702016\", alpha=\"0.19\", expect_size=\"39851008\"] \n  35 [size=\"69664768\", alpha=\"0.20\", expect_size=\"34832384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98230272\", alpha=\"0.09\", expect_size=\"49115136\"] \n  1 -> 2 [size =\"49115136\"]\n  2 [size=\"57436160\", alpha=\"0.16\", expect_size=\"28718080\"] \n  2 -> 3 [size =\"28718080\"]\n  3 [size=\"55443456\", alpha=\"0.03\", expect_size=\"27721728\"] \n  3 -> 4 [size =\"27721728\"]\n  4 [size=\"76795904\", alpha=\"0.13\", expect_size=\"38397952\"] \n  4 -> 5 [size =\"38397952\"]\n  5 [size=\"34381824\", alpha=\"0.13\", expect_size=\"17190912\"] \n  5 -> 6 [size =\"17190912\"]\n  6 [size=\"92686336\", alpha=\"0.11\", expect_size=\"46343168\"] \n  6 -> 7 [size =\"46343168\"]\n  7 [size=\"32802816\", alpha=\"0.06\", expect_size=\"16401408\"] \n  7 -> 8 [size =\"16401408\"]\n  8 [size=\"39329792\", alpha=\"0.10\", expect_size=\"19664896\"] \n  8 -> 9 [size =\"19664896\"]\n  9 [size=\"13475840\", alpha=\"0.17\", expect_size=\"6737920\"] \n  9 -> 10 [size =\"6737920\"]\n  10 [size=\"66162688\", alpha=\"0.13\", expect_size=\"33081344\"] \n  10 -> 11 [size =\"33081344\"]\n  11 [size=\"67491840\", alpha=\"0.02\", expect_size=\"33745920\"] \n  11 -> 12 [size =\"33745920\"]\n  12 [size=\"14088192\", alpha=\"0.20\", expect_size=\"7044096\"] \n  12 -> 13 [size =\"7044096\"]\n  13 [size=\"91293696\", alpha=\"0.19\", expect_size=\"45646848\"] \n  13 -> 14 [size =\"45646848\"]\n  14 [size=\"103393280\", alpha=\"0.02\", expect_size=\"51696640\"] \n  14 -> 15 [size =\"51696640\"]\n  15 [size=\"71131136\", alpha=\"0.18\", expect_size=\"35565568\"] \n  15 -> 16 [size =\"35565568\"]\n  16 [size=\"39157760\", alpha=\"0.05\", expect_size=\"19578880\"] \n  16 -> 17 [size =\"19578880\"]\n  17 [size=\"92788736\", alpha=\"0.04\", expect_size=\"46394368\"] \n  17 -> 18 [size =\"46394368\"]\n  18 [size=\"24461312\", alpha=\"0.06\", expect_size=\"12230656\"] \n  18 -> 19 [size =\"12230656\"]\n  19 [size=\"73699328\", alpha=\"0.12\", expect_size=\"36849664\"] \n  19 -> 20 [size =\"36849664\"]\n  20 [size=\"59639808\", alpha=\"0.15\", expect_size=\"29819904\"] \n  20 -> 21 [size =\"29819904\"]\n  21 [size=\"28774400\", alpha=\"0.17\", expect_size=\"14387200\"] \n  21 -> 22 [size =\"14387200\"]\n  22 [size=\"38766592\", alpha=\"0.08\", expect_size=\"19383296\"] \n  22 -> 23 [size =\"19383296\"]\n  23 [size=\"38545408\", alpha=\"0.09\", expect_size=\"19272704\"] \n  23 -> 24 [size =\"19272704\"]\n  24 [size=\"32268288\", alpha=\"0.04\", expect_size=\"16134144\"] \n  24 -> 25 [size =\"16134144\"]\n  25 [size=\"42481664\", alpha=\"0.04\", expect_size=\"21240832\"] \n  25 -> 26 [size =\"21240832\"]\n  26 [size=\"31223808\", alpha=\"0.01\", expect_size=\"15611904\"] \n  26 -> 27 [size =\"15611904\"]\n  27 [size=\"53483520\", alpha=\"0.03\", expect_size=\"26741760\"] \n  27 -> 28 [size =\"26741760\"]\n  28 [size=\"72771584\", alpha=\"0.11\", expect_size=\"36385792\"] \n  28 -> 29 [size =\"36385792\"]\n  29 [size=\"102254592\", alpha=\"0.00\", expect_size=\"51127296\"] \n  29 -> 30 [size =\"51127296\"]\n  30 [size=\"66799616\", alpha=\"0.01\", expect_size=\"33399808\"] \n  30 -> 31 [size =\"33399808\"]\n  31 [size=\"44312576\", alpha=\"0.13\", expect_size=\"22156288\"] \n  31 -> 32 [size =\"22156288\"]\n  32 [size=\"28164096\", alpha=\"0.07\", expect_size=\"14082048\"] \n  32 -> 33 [size =\"14082048\"]\n  33 [size=\"65308672\", alpha=\"0.17\", expect_size=\"32654336\"] \n  33 -> 34 [size =\"32654336\"]\n  34 [size=\"11962368\", alpha=\"0.08\", expect_size=\"5981184\"] \n  34 -> 35 [size =\"5981184\"]\n  35 [size=\"28805120\", alpha=\"0.11\", expect_size=\"14402560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103219200\", alpha=\"0.19\", expect_size=\"30965760\"] \n  1 -> 15 [size =\"30965760\"]\n  1 -> 18 [size =\"30965760\"]\n  1 -> 20 [size =\"30965760\"]\n  1 -> 21 [size =\"30965760\"]\n  1 -> 22 [size =\"30965760\"]\n  1 -> 23 [size =\"30965760\"]\n  1 -> 24 [size =\"30965760\"]\n  2 [size=\"89883307\", alpha=\"0.15\", expect_size=\"26964992\"] \n  2 -> 14 [size =\"26964992\"]\n  2 -> 15 [size =\"26964992\"]\n  2 -> 19 [size =\"26964992\"]\n  2 -> 22 [size =\"26964992\"]\n  2 -> 22 [size =\"26964992\"]\n  2 -> 23 [size =\"26964992\"]\n  2 -> 24 [size =\"26964992\"]\n  3 [size=\"147237547\", alpha=\"0.03\", expect_size=\"44171264\"] \n  3 -> 13 [size =\"44171264\"]\n  3 -> 14 [size =\"44171264\"]\n  3 -> 15 [size =\"44171264\"]\n  3 -> 18 [size =\"44171264\"]\n  3 -> 22 [size =\"44171264\"]\n  3 -> 23 [size =\"44171264\"]\n  4 [size=\"87173120\", alpha=\"0.09\", expect_size=\"26151936\"] \n  4 -> 13 [size =\"26151936\"]\n  4 -> 15 [size =\"26151936\"]\n  4 -> 16 [size =\"26151936\"]\n  4 -> 17 [size =\"26151936\"]\n  4 -> 19 [size =\"26151936\"]\n  4 -> 22 [size =\"26151936\"]\n  4 -> 23 [size =\"26151936\"]\n  4 -> 24 [size =\"26151936\"]\n  5 [size=\"174131200\", alpha=\"0.05\", expect_size=\"52239360\"] \n  5 -> 17 [size =\"52239360\"]\n  5 -> 18 [size =\"52239360\"]\n  5 -> 23 [size =\"52239360\"]\n  6 [size=\"173441707\", alpha=\"0.06\", expect_size=\"52032512\"] \n  6 -> 14 [size =\"52032512\"]\n  6 -> 16 [size =\"52032512\"]\n  6 -> 23 [size =\"52032512\"]\n  7 [size=\"158388907\", alpha=\"0.12\", expect_size=\"47516672\"] \n  7 -> 14 [size =\"47516672\"]\n  7 -> 15 [size =\"47516672\"]\n  7 -> 16 [size =\"47516672\"]\n  7 -> 19 [size =\"47516672\"]\n  7 -> 22 [size =\"47516672\"]\n  7 -> 23 [size =\"47516672\"]\n  7 -> 24 [size =\"47516672\"]\n  8 [size=\"138837333\", alpha=\"0.19\", expect_size=\"41651200\"] \n  8 -> 15 [size =\"41651200\"]\n  8 -> 19 [size =\"41651200\"]\n  8 -> 22 [size =\"41651200\"]\n  8 -> 23 [size =\"41651200\"]\n  8 -> 24 [size =\"41651200\"]\n  9 [size=\"132454400\", alpha=\"0.15\", expect_size=\"39736320\"] \n  9 -> 15 [size =\"39736320\"]\n  9 -> 16 [size =\"39736320\"]\n  9 -> 17 [size =\"39736320\"]\n  9 -> 19 [size =\"39736320\"]\n  9 -> 22 [size =\"39736320\"]\n  9 -> 23 [size =\"39736320\"]\n  10 [size=\"86879573\", alpha=\"0.06\", expect_size=\"26063872\"] \n  10 -> 15 [size =\"26063872\"]\n  10 -> 17 [size =\"26063872\"]\n  10 -> 18 [size =\"26063872\"]\n  10 -> 20 [size =\"26063872\"]\n  10 -> 22 [size =\"26063872\"]\n  10 -> 24 [size =\"26063872\"]\n  11 [size=\"45875200\", alpha=\"0.10\", expect_size=\"13762560\"] \n  11 -> 22 [size =\"13762560\"]\n  11 -> 24 [size =\"13762560\"]\n  12 [size=\"38625280\", alpha=\"0.15\", expect_size=\"11587584\"] \n  12 -> 15 [size =\"11587584\"]\n  12 -> 18 [size =\"11587584\"]\n  12 -> 20 [size =\"11587584\"]\n  12 -> 22 [size =\"11587584\"]\n  12 -> 23 [size =\"11587584\"]\n  12 -> 24 [size =\"11587584\"]\n  13 [size=\"155525120\", alpha=\"0.17\", expect_size=\"46657536\"] \n  13 -> 29 [size =\"46657536\"]\n  13 -> 34 [size =\"46657536\"]\n  13 -> 35 [size =\"46657536\"]\n  14 [size=\"23394987\", alpha=\"0.15\", expect_size=\"7018496\"] \n  14 -> 26 [size =\"7018496\"]\n  14 -> 28 [size =\"7018496\"]\n  14 -> 29 [size =\"7018496\"]\n  14 -> 32 [size =\"7018496\"]\n  14 -> 34 [size =\"7018496\"]\n  14 -> 35 [size =\"7018496\"]\n  15 [size=\"94416213\", alpha=\"0.08\", expect_size=\"28324864\"] \n  15 -> 26 [size =\"28324864\"]\n  15 -> 27 [size =\"28324864\"]\n  15 -> 29 [size =\"28324864\"]\n  15 -> 31 [size =\"28324864\"]\n  15 -> 34 [size =\"28324864\"]\n  15 -> 35 [size =\"28324864\"]\n  16 [size=\"131140267\", alpha=\"0.13\", expect_size=\"39342080\"] \n  16 -> 33 [size =\"39342080\"]\n  17 [size=\"19906560\", alpha=\"0.01\", expect_size=\"5971968\"] \n  17 -> 25 [size =\"5971968\"]\n  17 -> 28 [size =\"5971968\"]\n  17 -> 29 [size =\"5971968\"]\n  17 -> 34 [size =\"5971968\"]\n  18 [size=\"115322880\", alpha=\"0.01\", expect_size=\"34596864\"] \n  18 -> 29 [size =\"34596864\"]\n  18 -> 35 [size =\"34596864\"]\n  19 [size=\"105157973\", alpha=\"0.19\", expect_size=\"31547392\"] \n  19 -> 25 [size =\"31547392\"]\n  19 -> 27 [size =\"31547392\"]\n  19 -> 29 [size =\"31547392\"]\n  19 -> 31 [size =\"31547392\"]\n  19 -> 32 [size =\"31547392\"]\n  20 [size=\"67307520\", alpha=\"0.08\", expect_size=\"20192256\"] \n  20 -> 27 [size =\"20192256\"]\n  20 -> 28 [size =\"20192256\"]\n  20 -> 29 [size =\"20192256\"]\n  20 -> 30 [size =\"20192256\"]\n  20 -> 34 [size =\"20192256\"]\n  20 -> 35 [size =\"20192256\"]\n  21 [size=\"111834453\", alpha=\"0.09\", expect_size=\"33550336\"] \n  21 -> 28 [size =\"33550336\"]\n  21 -> 29 [size =\"33550336\"]\n  21 -> 29 [size =\"33550336\"]\n  21 -> 30 [size =\"33550336\"]\n  21 -> 34 [size =\"33550336\"]\n  22 [size=\"32938667\", alpha=\"0.19\", expect_size=\"9881600\"] \n  22 -> 26 [size =\"9881600\"]\n  22 -> 27 [size =\"9881600\"]\n  22 -> 28 [size =\"9881600\"]\n  22 -> 29 [size =\"9881600\"]\n  22 -> 32 [size =\"9881600\"]\n  23 [size=\"149664427\", alpha=\"0.06\", expect_size=\"44899328\"] \n  23 -> 26 [size =\"44899328\"]\n  23 -> 28 [size =\"44899328\"]\n  23 -> 30 [size =\"44899328\"]\n  23 -> 33 [size =\"44899328\"]\n  23 -> 34 [size =\"44899328\"]\n  24 [size=\"129914880\", alpha=\"0.01\", expect_size=\"38974464\"] \n  24 -> 26 [size =\"38974464\"]\n  24 -> 34 [size =\"38974464\"]\n  25 [size=\"90637653\", alpha=\"0.17\", expect_size=\"27191296\"] \n  26 [size=\"155252053\", alpha=\"0.12\", expect_size=\"46575616\"] \n  27 [size=\"104110080\", alpha=\"0.05\", expect_size=\"31233024\"] \n  28 [size=\"111653547\", alpha=\"0.14\", expect_size=\"33496064\"] \n  29 [size=\"118917120\", alpha=\"0.17\", expect_size=\"35675136\"] \n  30 [size=\"107233280\", alpha=\"0.09\", expect_size=\"32169984\"] \n  31 [size=\"173943467\", alpha=\"0.04\", expect_size=\"52183040\"] \n  32 [size=\"90221227\", alpha=\"0.03\", expect_size=\"27066368\"] \n  33 [size=\"85753173\", alpha=\"0.19\", expect_size=\"25725952\"] \n  34 [size=\"133021013\", alpha=\"0.15\", expect_size=\"39906304\"] \n  35 [size=\"144435200\", alpha=\"0.02\", expect_size=\"43330560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19714048\", alpha=\"0.19\", expect_size=\"9857024\"] \n  1 -> 31 [size =\"9857024\"]\n  1 -> 32 [size =\"9857024\"]\n  2 [size=\"15439872\", alpha=\"0.03\", expect_size=\"7719936\"] \n  2 -> 28 [size =\"7719936\"]\n  2 -> 32 [size =\"7719936\"]\n  2 -> 35 [size =\"7719936\"]\n  3 [size=\"64241664\", alpha=\"0.20\", expect_size=\"32120832\"] \n  3 -> 28 [size =\"32120832\"]\n  3 -> 29 [size =\"32120832\"]\n  3 -> 35 [size =\"32120832\"]\n  4 [size=\"92362752\", alpha=\"0.07\", expect_size=\"46181376\"] \n  4 -> 29 [size =\"46181376\"]\n  4 -> 33 [size =\"46181376\"]\n  4 -> 35 [size =\"46181376\"]\n  5 [size=\"31424512\", alpha=\"0.18\", expect_size=\"15712256\"] \n  5 -> 25 [size =\"15712256\"]\n  5 -> 26 [size =\"15712256\"]\n  5 -> 29 [size =\"15712256\"]\n  6 [size=\"69560320\", alpha=\"0.09\", expect_size=\"34780160\"] \n  6 -> 25 [size =\"34780160\"]\n  6 -> 28 [size =\"34780160\"]\n  6 -> 31 [size =\"34780160\"]\n  7 [size=\"79095808\", alpha=\"0.05\", expect_size=\"39547904\"] \n  7 -> 27 [size =\"39547904\"]\n  7 -> 28 [size =\"39547904\"]\n  7 -> 29 [size =\"39547904\"]\n  7 -> 34 [size =\"39547904\"]\n  8 [size=\"91189248\", alpha=\"0.11\", expect_size=\"45594624\"] \n  8 -> 26 [size =\"45594624\"]\n  8 -> 29 [size =\"45594624\"]\n  8 -> 33 [size =\"45594624\"]\n  8 -> 34 [size =\"45594624\"]\n  9 [size=\"63203328\", alpha=\"0.18\", expect_size=\"31601664\"] \n  9 -> 26 [size =\"31601664\"]\n  9 -> 27 [size =\"31601664\"]\n  9 -> 28 [size =\"31601664\"]\n  9 -> 32 [size =\"31601664\"]\n  9 -> 34 [size =\"31601664\"]\n  10 [size=\"41717760\", alpha=\"0.09\", expect_size=\"20858880\"] \n  10 -> 27 [size =\"20858880\"]\n  10 -> 28 [size =\"20858880\"]\n  10 -> 34 [size =\"20858880\"]\n  11 [size=\"36788224\", alpha=\"0.11\", expect_size=\"18394112\"] \n  11 -> 27 [size =\"18394112\"]\n  11 -> 34 [size =\"18394112\"]\n  12 [size=\"34168832\", alpha=\"0.14\", expect_size=\"17084416\"] \n  12 -> 28 [size =\"17084416\"]\n  13 [size=\"49047552\", alpha=\"0.15\", expect_size=\"24523776\"] \n  13 -> 28 [size =\"24523776\"]\n  13 -> 32 [size =\"24523776\"]\n  13 -> 35 [size =\"24523776\"]\n  14 [size=\"48834560\", alpha=\"0.17\", expect_size=\"24417280\"] \n  14 -> 26 [size =\"24417280\"]\n  14 -> 28 [size =\"24417280\"]\n  15 [size=\"79951872\", alpha=\"0.06\", expect_size=\"39975936\"] \n  15 -> 27 [size =\"39975936\"]\n  15 -> 34 [size =\"39975936\"]\n  15 -> 35 [size =\"39975936\"]\n  16 [size=\"71811072\", alpha=\"0.14\", expect_size=\"35905536\"] \n  16 -> 25 [size =\"35905536\"]\n  16 -> 26 [size =\"35905536\"]\n  16 -> 34 [size =\"35905536\"]\n  17 [size=\"19105792\", alpha=\"0.04\", expect_size=\"9552896\"] \n  17 -> 28 [size =\"9552896\"]\n  18 [size=\"44695552\", alpha=\"0.18\", expect_size=\"22347776\"] \n  18 -> 26 [size =\"22347776\"]\n  18 -> 30 [size =\"22347776\"]\n  18 -> 31 [size =\"22347776\"]\n  18 -> 32 [size =\"22347776\"]\n  18 -> 35 [size =\"22347776\"]\n  19 [size=\"94517248\", alpha=\"0.00\", expect_size=\"47258624\"] \n  19 -> 26 [size =\"47258624\"]\n  19 -> 34 [size =\"47258624\"]\n  20 [size=\"86147072\", alpha=\"0.02\", expect_size=\"43073536\"] \n  20 -> 25 [size =\"43073536\"]\n  20 -> 26 [size =\"43073536\"]\n  20 -> 29 [size =\"43073536\"]\n  20 -> 34 [size =\"43073536\"]\n  21 [size=\"35215360\", alpha=\"0.05\", expect_size=\"17607680\"] \n  21 -> 26 [size =\"17607680\"]\n  21 -> 32 [size =\"17607680\"]\n  21 -> 34 [size =\"17607680\"]\n  22 [size=\"87717888\", alpha=\"0.09\", expect_size=\"43858944\"] \n  22 -> 26 [size =\"43858944\"]\n  22 -> 29 [size =\"43858944\"]\n  22 -> 31 [size =\"43858944\"]\n  23 [size=\"59254784\", alpha=\"0.05\", expect_size=\"29627392\"] \n  23 -> 26 [size =\"29627392\"]\n  23 -> 27 [size =\"29627392\"]\n  23 -> 29 [size =\"29627392\"]\n  23 -> 34 [size =\"29627392\"]\n  24 [size=\"35823616\", alpha=\"0.18\", expect_size=\"17911808\"] \n  24 -> 29 [size =\"17911808\"]\n  24 -> 32 [size =\"17911808\"]\n  24 -> 35 [size =\"17911808\"]\n  25 [size=\"23031808\", alpha=\"0.15\", expect_size=\"11515904\"] \n  26 [size=\"52623360\", alpha=\"0.05\", expect_size=\"26311680\"] \n  27 [size=\"24604672\", alpha=\"0.10\", expect_size=\"12302336\"] \n  28 [size=\"45246464\", alpha=\"0.11\", expect_size=\"22623232\"] \n  29 [size=\"34457600\", alpha=\"0.04\", expect_size=\"17228800\"] \n  30 [size=\"36583424\", alpha=\"0.03\", expect_size=\"18291712\"] \n  31 [size=\"44500992\", alpha=\"0.08\", expect_size=\"22250496\"] \n  32 [size=\"67438592\", alpha=\"0.18\", expect_size=\"33719296\"] \n  33 [size=\"15978496\", alpha=\"0.16\", expect_size=\"7989248\"] \n  34 [size=\"38252544\", alpha=\"0.03\", expect_size=\"19126272\"] \n  35 [size=\"27396096\", alpha=\"0.04\", expect_size=\"13698048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34003627\", alpha=\"0.20\", expect_size=\"10201088\"] \n  1 -> 2 [size =\"10201088\"]\n  1 -> 3 [size =\"10201088\"]\n  2 [size=\"172735147\", alpha=\"0.12\", expect_size=\"51820544\"] \n  2 -> 4 [size =\"51820544\"]\n  3 [size=\"169891840\", alpha=\"0.17\", expect_size=\"50967552\"] \n  3 -> 4 [size =\"50967552\"]\n  4 [size=\"134587733\", alpha=\"0.12\", expect_size=\"40376320\"] \n  4 -> 5 [size =\"40376320\"]\n  4 -> 6 [size =\"40376320\"]\n  5 [size=\"109752320\", alpha=\"0.09\", expect_size=\"32925696\"] \n  5 -> 7 [size =\"32925696\"]\n  5 -> 8 [size =\"32925696\"]\n  6 [size=\"70386347\", alpha=\"0.14\", expect_size=\"21115904\"] \n  6 -> 7 [size =\"21115904\"]\n  7 [size=\"73355947\", alpha=\"0.02\", expect_size=\"22006784\"] \n  7 -> 10 [size =\"22006784\"]\n  8 [size=\"63252480\", alpha=\"0.20\", expect_size=\"18975744\"] \n  8 -> 9 [size =\"18975744\"]\n  8 -> 10 [size =\"18975744\"]\n  9 [size=\"28603733\", alpha=\"0.05\", expect_size=\"8581120\"] \n  9 -> 12 [size =\"8581120\"]\n  10 [size=\"70802773\", alpha=\"0.18\", expect_size=\"21240832\"] \n  10 -> 11 [size =\"21240832\"]\n  10 -> 12 [size =\"21240832\"]\n  11 [size=\"20514133\", alpha=\"0.10\", expect_size=\"6154240\"] \n  11 -> 14 [size =\"6154240\"]\n  12 [size=\"19019093\", alpha=\"0.01\", expect_size=\"5705728\"] \n  12 -> 13 [size =\"5705728\"]\n  13 [size=\"113530880\", alpha=\"0.17\", expect_size=\"34059264\"] \n  13 -> 15 [size =\"34059264\"]\n  14 [size=\"92658347\", alpha=\"0.17\", expect_size=\"27797504\"] \n  14 -> 15 [size =\"27797504\"]\n  14 -> 16 [size =\"27797504\"]\n  15 [size=\"30429867\", alpha=\"0.17\", expect_size=\"9128960\"] \n  15 -> 17 [size =\"9128960\"]\n  16 [size=\"104280747\", alpha=\"0.11\", expect_size=\"31284224\"] \n  16 -> 17 [size =\"31284224\"]\n  17 [size=\"56081067\", alpha=\"0.09\", expect_size=\"16824320\"] \n  17 -> 18 [size =\"16824320\"]\n  18 [size=\"73495893\", alpha=\"0.01\", expect_size=\"22048768\"] \n  18 -> 19 [size =\"22048768\"]\n  19 [size=\"70580907\", alpha=\"0.16\", expect_size=\"21174272\"] \n  19 -> 20 [size =\"21174272\"]\n  20 [size=\"111571627\", alpha=\"0.18\", expect_size=\"33471488\"] \n  20 -> 21 [size =\"33471488\"]\n  20 -> 22 [size =\"33471488\"]\n  21 [size=\"94088533\", alpha=\"0.03\", expect_size=\"28226560\"] \n  21 -> 24 [size =\"28226560\"]\n  22 [size=\"18640213\", alpha=\"0.08\", expect_size=\"5592064\"] \n  22 -> 23 [size =\"5592064\"]\n  22 -> 24 [size =\"5592064\"]\n  23 [size=\"27289600\", alpha=\"0.11\", expect_size=\"8186880\"] \n  23 -> 25 [size =\"8186880\"]\n  23 -> 26 [size =\"8186880\"]\n  24 [size=\"162085547\", alpha=\"0.10\", expect_size=\"48625664\"] \n  24 -> 25 [size =\"48625664\"]\n  24 -> 26 [size =\"48625664\"]\n  25 [size=\"140738560\", alpha=\"0.01\", expect_size=\"42221568\"] \n  25 -> 28 [size =\"42221568\"]\n  26 [size=\"120026453\", alpha=\"0.18\", expect_size=\"36007936\"] \n  26 -> 27 [size =\"36007936\"]\n  26 -> 28 [size =\"36007936\"]\n  27 [size=\"50216960\", alpha=\"0.02\", expect_size=\"15065088\"] \n  27 -> 29 [size =\"15065088\"]\n  28 [size=\"119306240\", alpha=\"0.12\", expect_size=\"35791872\"] \n  28 -> 29 [size =\"35791872\"]\n  29 [size=\"124351147\", alpha=\"0.04\", expect_size=\"37305344\"] \n  29 -> 30 [size =\"37305344\"]\n  30 [size=\"90525013\", alpha=\"0.02\", expect_size=\"27157504\"] \n  30 -> 31 [size =\"27157504\"]\n  31 [size=\"77322240\", alpha=\"0.01\", expect_size=\"23196672\"] \n  31 -> 32 [size =\"23196672\"]\n  32 [size=\"101277013\", alpha=\"0.20\", expect_size=\"30383104\"] \n  32 -> 33 [size =\"30383104\"]\n  32 -> 34 [size =\"30383104\"]\n  33 [size=\"160358400\", alpha=\"0.11\", expect_size=\"48107520\"] \n  33 -> 35 [size =\"48107520\"]\n  34 [size=\"92412587\", alpha=\"0.11\", expect_size=\"27723776\"] \n  34 -> 35 [size =\"27723776\"]\n  35 [size=\"171844267\", alpha=\"0.14\", expect_size=\"51553280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95090688\", alpha=\"0.00\", expect_size=\"47545344\"] \n  1 -> 7 [size =\"47545344\"]\n  1 -> 8 [size =\"47545344\"]\n  2 [size=\"31569920\", alpha=\"0.14\", expect_size=\"15784960\"] \n  2 -> 9 [size =\"15784960\"]\n  3 [size=\"85446656\", alpha=\"0.04\", expect_size=\"42723328\"] \n  3 -> 6 [size =\"42723328\"]\n  3 -> 7 [size =\"42723328\"]\n  3 -> 8 [size =\"42723328\"]\n  4 [size=\"26587136\", alpha=\"0.01\", expect_size=\"13293568\"] \n  4 -> 5 [size =\"13293568\"]\n  4 -> 6 [size =\"13293568\"]\n  4 -> 7 [size =\"13293568\"]\n  5 [size=\"80564224\", alpha=\"0.07\", expect_size=\"40282112\"] \n  5 -> 12 [size =\"40282112\"]\n  6 [size=\"19689472\", alpha=\"0.18\", expect_size=\"9844736\"] \n  6 -> 12 [size =\"9844736\"]\n  7 [size=\"51400704\", alpha=\"0.02\", expect_size=\"25700352\"] \n  7 -> 10 [size =\"25700352\"]\n  7 -> 11 [size =\"25700352\"]\n  7 -> 12 [size =\"25700352\"]\n  8 [size=\"61741056\", alpha=\"0.14\", expect_size=\"30870528\"] \n  8 -> 10 [size =\"30870528\"]\n  8 -> 13 [size =\"30870528\"]\n  9 [size=\"91162624\", alpha=\"0.18\", expect_size=\"45581312\"] \n  9 -> 13 [size =\"45581312\"]\n  10 [size=\"38297600\", alpha=\"0.05\", expect_size=\"19148800\"] \n  10 -> 14 [size =\"19148800\"]\n  10 -> 15 [size =\"19148800\"]\n  10 -> 16 [size =\"19148800\"]\n  10 -> 17 [size =\"19148800\"]\n  10 -> 19 [size =\"19148800\"]\n  11 [size=\"66271232\", alpha=\"0.06\", expect_size=\"33135616\"] \n  11 -> 14 [size =\"33135616\"]\n  11 -> 15 [size =\"33135616\"]\n  12 [size=\"68245504\", alpha=\"0.17\", expect_size=\"34122752\"] \n  12 -> 17 [size =\"34122752\"]\n  12 -> 18 [size =\"34122752\"]\n  12 -> 19 [size =\"34122752\"]\n  13 [size=\"39473152\", alpha=\"0.20\", expect_size=\"19736576\"] \n  13 -> 16 [size =\"19736576\"]\n  14 [size=\"57511936\", alpha=\"0.02\", expect_size=\"28755968\"] \n  14 -> 21 [size =\"28755968\"]\n  14 -> 22 [size =\"28755968\"]\n  15 [size=\"59969536\", alpha=\"0.04\", expect_size=\"29984768\"] \n  16 [size=\"93089792\", alpha=\"0.03\", expect_size=\"46544896\"] \n  17 [size=\"84692992\", alpha=\"0.19\", expect_size=\"42346496\"] \n  17 -> 22 [size =\"42346496\"]\n  18 [size=\"94320640\", alpha=\"0.04\", expect_size=\"47160320\"] \n  18 -> 20 [size =\"47160320\"]\n  18 -> 21 [size =\"47160320\"]\n  19 [size=\"66469888\", alpha=\"0.07\", expect_size=\"33234944\"] \n  19 -> 21 [size =\"33234944\"]\n  20 [size=\"58589184\", alpha=\"0.12\", expect_size=\"29294592\"] \n  20 -> 23 [size =\"29294592\"]\n  20 -> 26 [size =\"29294592\"]\n  21 [size=\"82948096\", alpha=\"0.15\", expect_size=\"41474048\"] \n  21 -> 24 [size =\"41474048\"]\n  21 -> 26 [size =\"41474048\"]\n  22 [size=\"16726016\", alpha=\"0.03\", expect_size=\"8363008\"] \n  22 -> 23 [size =\"8363008\"]\n  22 -> 24 [size =\"8363008\"]\n  22 -> 25 [size =\"8363008\"]\n  23 [size=\"96051200\", alpha=\"0.06\", expect_size=\"48025600\"] \n  23 -> 28 [size =\"48025600\"]\n  24 [size=\"94842880\", alpha=\"0.13\", expect_size=\"47421440\"] \n  24 -> 27 [size =\"47421440\"]\n  24 -> 28 [size =\"47421440\"]\n  25 [size=\"102752256\", alpha=\"0.14\", expect_size=\"51376128\"] \n  25 -> 28 [size =\"51376128\"]\n  26 [size=\"24946688\", alpha=\"0.18\", expect_size=\"12473344\"] \n  27 [size=\"37388288\", alpha=\"0.10\", expect_size=\"18694144\"] \n  27 -> 30 [size =\"18694144\"]\n  27 -> 31 [size =\"18694144\"]\n  27 -> 32 [size =\"18694144\"]\n  28 [size=\"30461952\", alpha=\"0.13\", expect_size=\"15230976\"] \n  28 -> 29 [size =\"15230976\"]\n  28 -> 30 [size =\"15230976\"]\n  28 -> 32 [size =\"15230976\"]\n  29 [size=\"49944576\", alpha=\"0.13\", expect_size=\"24972288\"] \n  29 -> 33 [size =\"24972288\"]\n  29 -> 35 [size =\"24972288\"]\n  30 [size=\"84465664\", alpha=\"0.19\", expect_size=\"42232832\"] \n  30 -> 34 [size =\"42232832\"]\n  31 [size=\"48134144\", alpha=\"0.17\", expect_size=\"24067072\"] \n  31 -> 35 [size =\"24067072\"]\n  32 [size=\"25554944\", alpha=\"0.07\", expect_size=\"12777472\"] \n  32 -> 33 [size =\"12777472\"]\n  32 -> 35 [size =\"12777472\"]\n  33 [size=\"37814272\", alpha=\"0.03\", expect_size=\"18907136\"] \n  34 [size=\"65501184\", alpha=\"0.09\", expect_size=\"32750592\"] \n  35 [size=\"30343168\", alpha=\"0.06\", expect_size=\"15171584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150272000\", alpha=\"0.10\", expect_size=\"45081600\"] \n  1 -> 2 [size =\"45081600\"]\n  1 -> 3 [size =\"45081600\"]\n  2 [size=\"134915413\", alpha=\"0.14\", expect_size=\"40474624\"] \n  2 -> 4 [size =\"40474624\"]\n  3 [size=\"124368213\", alpha=\"0.05\", expect_size=\"37310464\"] \n  4 [size=\"137656320\", alpha=\"0.01\", expect_size=\"41296896\"] \n  4 -> 5 [size =\"41296896\"]\n  4 -> 6 [size =\"41296896\"]\n  5 [size=\"127819093\", alpha=\"0.02\", expect_size=\"38345728\"] \n  6 [size=\"138212693\", alpha=\"0.03\", expect_size=\"41463808\"] \n  6 -> 7 [size =\"41463808\"]\n  7 [size=\"162461013\", alpha=\"0.07\", expect_size=\"48738304\"] \n  7 -> 8 [size =\"48738304\"]\n  7 -> 9 [size =\"48738304\"]\n  8 [size=\"165584213\", alpha=\"0.09\", expect_size=\"49675264\"] \n  8 -> 10 [size =\"49675264\"]\n  9 [size=\"76281173\", alpha=\"0.16\", expect_size=\"22884352\"] \n  9 -> 10 [size =\"22884352\"]\n  9 -> 11 [size =\"22884352\"]\n  10 [size=\"78086827\", alpha=\"0.07\", expect_size=\"23426048\"] \n  10 -> 12 [size =\"23426048\"]\n  10 -> 13 [size =\"23426048\"]\n  11 [size=\"67328000\", alpha=\"0.04\", expect_size=\"20198400\"] \n  12 [size=\"145892693\", alpha=\"0.10\", expect_size=\"43767808\"] \n  12 -> 14 [size =\"43767808\"]\n  12 -> 15 [size =\"43767808\"]\n  13 [size=\"99433813\", alpha=\"0.04\", expect_size=\"29830144\"] \n  13 -> 14 [size =\"29830144\"]\n  14 [size=\"135331840\", alpha=\"0.16\", expect_size=\"40599552\"] \n  14 -> 16 [size =\"40599552\"]\n  15 [size=\"142332587\", alpha=\"0.06\", expect_size=\"42699776\"] \n  16 [size=\"160488107\", alpha=\"0.03\", expect_size=\"48146432\"] \n  16 -> 17 [size =\"48146432\"]\n  17 [size=\"26371413\", alpha=\"0.04\", expect_size=\"7911424\"] \n  17 -> 18 [size =\"7911424\"]\n  18 [size=\"84186453\", alpha=\"0.09\", expect_size=\"25255936\"] \n  18 -> 19 [size =\"25255936\"]\n  19 [size=\"152203947\", alpha=\"0.18\", expect_size=\"45661184\"] \n  19 -> 20 [size =\"45661184\"]\n  20 [size=\"119579307\", alpha=\"0.19\", expect_size=\"35873792\"] \n  20 -> 21 [size =\"35873792\"]\n  21 [size=\"18896213\", alpha=\"0.17\", expect_size=\"5668864\"] \n  21 -> 22 [size =\"5668864\"]\n  22 [size=\"49844907\", alpha=\"0.10\", expect_size=\"14953472\"] \n  22 -> 23 [size =\"14953472\"]\n  23 [size=\"126344533\", alpha=\"0.16\", expect_size=\"37903360\"] \n  23 -> 24 [size =\"37903360\"]\n  24 [size=\"157098667\", alpha=\"0.18\", expect_size=\"47129600\"] \n  24 -> 25 [size =\"47129600\"]\n  25 [size=\"123944960\", alpha=\"0.13\", expect_size=\"37183488\"] \n  25 -> 26 [size =\"37183488\"]\n  26 [size=\"170185387\", alpha=\"0.04\", expect_size=\"51055616\"] \n  26 -> 27 [size =\"51055616\"]\n  27 [size=\"36208640\", alpha=\"0.14\", expect_size=\"10862592\"] \n  27 -> 28 [size =\"10862592\"]\n  28 [size=\"65542827\", alpha=\"0.02\", expect_size=\"19662848\"] \n  28 -> 29 [size =\"19662848\"]\n  29 [size=\"136581120\", alpha=\"0.18\", expect_size=\"40974336\"] \n  29 -> 30 [size =\"40974336\"]\n  29 -> 31 [size =\"40974336\"]\n  30 [size=\"120299520\", alpha=\"0.02\", expect_size=\"36089856\"] \n  30 -> 32 [size =\"36089856\"]\n  30 -> 33 [size =\"36089856\"]\n  31 [size=\"111745707\", alpha=\"0.11\", expect_size=\"33523712\"] \n  31 -> 33 [size =\"33523712\"]\n  32 [size=\"86432427\", alpha=\"0.18\", expect_size=\"25929728\"] \n  32 -> 34 [size =\"25929728\"]\n  32 -> 35 [size =\"25929728\"]\n  33 [size=\"161795413\", alpha=\"0.14\", expect_size=\"48538624\"] \n  33 -> 34 [size =\"48538624\"]\n  34 [size=\"130164053\", alpha=\"0.06\", expect_size=\"39049216\"] \n  35 [size=\"111711573\", alpha=\"0.13\", expect_size=\"33513472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32217600\", alpha=\"0.17\", expect_size=\"12887040\"] \n  1 -> 17 [size =\"12887040\"]\n  1 -> 19 [size =\"12887040\"]\n  1 -> 26 [size =\"12887040\"]\n  2 [size=\"17390080\", alpha=\"0.10\", expect_size=\"6956032\"] \n  2 -> 17 [size =\"6956032\"]\n  2 -> 24 [size =\"6956032\"]\n  2 -> 27 [size =\"6956032\"]\n  2 -> 28 [size =\"6956032\"]\n  3 [size=\"100167680\", alpha=\"0.13\", expect_size=\"40067072\"] \n  3 -> 17 [size =\"40067072\"]\n  3 -> 19 [size =\"40067072\"]\n  3 -> 20 [size =\"40067072\"]\n  3 -> 23 [size =\"40067072\"]\n  3 -> 24 [size =\"40067072\"]\n  3 -> 27 [size =\"40067072\"]\n  3 -> 28 [size =\"40067072\"]\n  4 [size=\"111257600\", alpha=\"0.03\", expect_size=\"44503040\"] \n  4 -> 17 [size =\"44503040\"]\n  4 -> 19 [size =\"44503040\"]\n  4 -> 20 [size =\"44503040\"]\n  4 -> 24 [size =\"44503040\"]\n  4 -> 24 [size =\"44503040\"]\n  5 [size=\"29260800\", alpha=\"0.05\", expect_size=\"11704320\"] \n  5 -> 16 [size =\"11704320\"]\n  5 -> 18 [size =\"11704320\"]\n  5 -> 19 [size =\"11704320\"]\n  5 -> 20 [size =\"11704320\"]\n  5 -> 21 [size =\"11704320\"]\n  5 -> 22 [size =\"11704320\"]\n  5 -> 28 [size =\"11704320\"]\n  6 [size=\"66024960\", alpha=\"0.16\", expect_size=\"26409984\"] \n  6 -> 18 [size =\"26409984\"]\n  6 -> 19 [size =\"26409984\"]\n  6 -> 21 [size =\"26409984\"]\n  6 -> 22 [size =\"26409984\"]\n  6 -> 25 [size =\"26409984\"]\n  6 -> 28 [size =\"26409984\"]\n  7 [size=\"127042560\", alpha=\"0.07\", expect_size=\"50817024\"] \n  7 -> 18 [size =\"50817024\"]\n  7 -> 19 [size =\"50817024\"]\n  7 -> 22 [size =\"50817024\"]\n  7 -> 24 [size =\"50817024\"]\n  8 [size=\"74887680\", alpha=\"0.05\", expect_size=\"29955072\"] \n  8 -> 18 [size =\"29955072\"]\n  8 -> 22 [size =\"29955072\"]\n  9 [size=\"98647040\", alpha=\"0.07\", expect_size=\"39458816\"] \n  9 -> 17 [size =\"39458816\"]\n  9 -> 21 [size =\"39458816\"]\n  9 -> 22 [size =\"39458816\"]\n  9 -> 25 [size =\"39458816\"]\n  9 -> 27 [size =\"39458816\"]\n  10 [size=\"15339520\", alpha=\"0.03\", expect_size=\"6135808\"] \n  10 -> 17 [size =\"6135808\"]\n  10 -> 20 [size =\"6135808\"]\n  10 -> 25 [size =\"6135808\"]\n  11 [size=\"18275840\", alpha=\"0.02\", expect_size=\"7310336\"] \n  11 -> 17 [size =\"7310336\"]\n  11 -> 22 [size =\"7310336\"]\n  11 -> 25 [size =\"7310336\"]\n  11 -> 28 [size =\"7310336\"]\n  12 [size=\"115742720\", alpha=\"0.02\", expect_size=\"46297088\"] \n  12 -> 16 [size =\"46297088\"]\n  12 -> 22 [size =\"46297088\"]\n  12 -> 23 [size =\"46297088\"]\n  12 -> 24 [size =\"46297088\"]\n  12 -> 25 [size =\"46297088\"]\n  12 -> 27 [size =\"46297088\"]\n  12 -> 28 [size =\"46297088\"]\n  13 [size=\"59384320\", alpha=\"0.04\", expect_size=\"23753728\"] \n  13 -> 17 [size =\"23753728\"]\n  13 -> 18 [size =\"23753728\"]\n  13 -> 23 [size =\"23753728\"]\n  13 -> 24 [size =\"23753728\"]\n  13 -> 25 [size =\"23753728\"]\n  13 -> 27 [size =\"23753728\"]\n  14 [size=\"20848640\", alpha=\"0.19\", expect_size=\"8339456\"] \n  14 -> 17 [size =\"8339456\"]\n  14 -> 18 [size =\"8339456\"]\n  14 -> 19 [size =\"8339456\"]\n  14 -> 23 [size =\"8339456\"]\n  14 -> 24 [size =\"8339456\"]\n  14 -> 27 [size =\"8339456\"]\n  14 -> 28 [size =\"8339456\"]\n  15 [size=\"40604160\", alpha=\"0.17\", expect_size=\"16241664\"] \n  15 -> 18 [size =\"16241664\"]\n  15 -> 18 [size =\"16241664\"]\n  15 -> 20 [size =\"16241664\"]\n  15 -> 22 [size =\"16241664\"]\n  15 -> 23 [size =\"16241664\"]\n  15 -> 28 [size =\"16241664\"]\n  16 [size=\"70737920\", alpha=\"0.02\", expect_size=\"28295168\"] \n  16 -> 29 [size =\"28295168\"]\n  16 -> 30 [size =\"28295168\"]\n  16 -> 31 [size =\"28295168\"]\n  17 [size=\"50017280\", alpha=\"0.10\", expect_size=\"20006912\"] \n  17 -> 32 [size =\"20006912\"]\n  17 -> 33 [size =\"20006912\"]\n  17 -> 34 [size =\"20006912\"]\n  18 [size=\"90856960\", alpha=\"0.17\", expect_size=\"36342784\"] \n  19 [size=\"121891840\", alpha=\"0.11\", expect_size=\"48756736\"] \n  19 -> 35 [size =\"48756736\"]\n  20 [size=\"47928320\", alpha=\"0.03\", expect_size=\"19171328\"] \n  20 -> 29 [size =\"19171328\"]\n  20 -> 33 [size =\"19171328\"]\n  20 -> 34 [size =\"19171328\"]\n  20 -> 35 [size =\"19171328\"]\n  21 [size=\"63411200\", alpha=\"0.18\", expect_size=\"25364480\"] \n  21 -> 29 [size =\"25364480\"]\n  21 -> 34 [size =\"25364480\"]\n  21 -> 34 [size =\"25364480\"]\n  22 [size=\"73154560\", alpha=\"0.14\", expect_size=\"29261824\"] \n  22 -> 29 [size =\"29261824\"]\n  22 -> 32 [size =\"29261824\"]\n  22 -> 33 [size =\"29261824\"]\n  23 [size=\"85957120\", alpha=\"0.05\", expect_size=\"34382848\"] \n  23 -> 29 [size =\"34382848\"]\n  23 -> 30 [size =\"34382848\"]\n  23 -> 31 [size =\"34382848\"]\n  23 -> 33 [size =\"34382848\"]\n  23 -> 34 [size =\"34382848\"]\n  23 -> 35 [size =\"34382848\"]\n  24 [size=\"108546560\", alpha=\"0.12\", expect_size=\"43418624\"] \n  24 -> 29 [size =\"43418624\"]\n  24 -> 31 [size =\"43418624\"]\n  24 -> 32 [size =\"43418624\"]\n  24 -> 34 [size =\"43418624\"]\n  24 -> 35 [size =\"43418624\"]\n  25 [size=\"102238720\", alpha=\"0.02\", expect_size=\"40895488\"] \n  26 [size=\"81740800\", alpha=\"0.01\", expect_size=\"32696320\"] \n  26 -> 29 [size =\"32696320\"]\n  26 -> 31 [size =\"32696320\"]\n  26 -> 33 [size =\"32696320\"]\n  27 [size=\"90938880\", alpha=\"0.19\", expect_size=\"36375552\"] \n  27 -> 33 [size =\"36375552\"]\n  27 -> 35 [size =\"36375552\"]\n  28 [size=\"30768640\", alpha=\"0.08\", expect_size=\"12307456\"] \n  28 -> 29 [size =\"12307456\"]\n  28 -> 31 [size =\"12307456\"]\n  28 -> 34 [size =\"12307456\"]\n  28 -> 35 [size =\"12307456\"]\n  29 [size=\"15884800\", alpha=\"0.12\", expect_size=\"6353920\"] \n  30 [size=\"80849920\", alpha=\"0.15\", expect_size=\"32339968\"] \n  31 [size=\"98301440\", alpha=\"0.20\", expect_size=\"39320576\"] \n  32 [size=\"87347200\", alpha=\"0.02\", expect_size=\"34938880\"] \n  33 [size=\"52270080\", alpha=\"0.12\", expect_size=\"20908032\"] \n  34 [size=\"80135680\", alpha=\"0.03\", expect_size=\"32054272\"] \n  35 [size=\"33159680\", alpha=\"0.19\", expect_size=\"13263872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22141440\", alpha=\"0.17\", expect_size=\"8856576\"] \n  1 -> 2 [size =\"8856576\"]\n  1 -> 3 [size =\"8856576\"]\n  2 [size=\"91942400\", alpha=\"0.07\", expect_size=\"36776960\"] \n  2 -> 4 [size =\"36776960\"]\n  3 [size=\"70133760\", alpha=\"0.10\", expect_size=\"28053504\"] \n  3 -> 4 [size =\"28053504\"]\n  4 [size=\"20695040\", alpha=\"0.16\", expect_size=\"8278016\"] \n  4 -> 5 [size =\"8278016\"]\n  5 [size=\"57889280\", alpha=\"0.11\", expect_size=\"23155712\"] \n  5 -> 6 [size =\"23155712\"]\n  6 [size=\"71001600\", alpha=\"0.09\", expect_size=\"28400640\"] \n  6 -> 7 [size =\"28400640\"]\n  6 -> 8 [size =\"28400640\"]\n  7 [size=\"23370240\", alpha=\"0.01\", expect_size=\"9348096\"] \n  7 -> 9 [size =\"9348096\"]\n  8 [size=\"123873280\", alpha=\"0.12\", expect_size=\"49549312\"] \n  8 -> 10 [size =\"49549312\"]\n  9 [size=\"33658880\", alpha=\"0.19\", expect_size=\"13463552\"] \n  9 -> 11 [size =\"13463552\"]\n  10 [size=\"100482560\", alpha=\"0.00\", expect_size=\"40193024\"] \n  10 -> 11 [size =\"40193024\"]\n  11 [size=\"77742080\", alpha=\"0.10\", expect_size=\"31096832\"] \n  11 -> 12 [size =\"31096832\"]\n  11 -> 13 [size =\"31096832\"]\n  12 [size=\"57751040\", alpha=\"0.02\", expect_size=\"23100416\"] \n  12 -> 14 [size =\"23100416\"]\n  12 -> 15 [size =\"23100416\"]\n  13 [size=\"98803200\", alpha=\"0.17\", expect_size=\"39521280\"] \n  13 -> 14 [size =\"39521280\"]\n  13 -> 15 [size =\"39521280\"]\n  14 [size=\"37790720\", alpha=\"0.14\", expect_size=\"15116288\"] \n  14 -> 17 [size =\"15116288\"]\n  15 [size=\"130073600\", alpha=\"0.07\", expect_size=\"52029440\"] \n  15 -> 16 [size =\"52029440\"]\n  16 [size=\"75514880\", alpha=\"0.12\", expect_size=\"30205952\"] \n  16 -> 19 [size =\"30205952\"]\n  17 [size=\"127549440\", alpha=\"0.17\", expect_size=\"51019776\"] \n  17 -> 18 [size =\"51019776\"]\n  18 [size=\"17999360\", alpha=\"0.05\", expect_size=\"7199744\"] \n  18 -> 20 [size =\"7199744\"]\n  18 -> 21 [size =\"7199744\"]\n  19 [size=\"91407360\", alpha=\"0.08\", expect_size=\"36562944\"] \n  20 [size=\"85634560\", alpha=\"0.01\", expect_size=\"34253824\"] \n  20 -> 22 [size =\"34253824\"]\n  21 [size=\"87754240\", alpha=\"0.15\", expect_size=\"35101696\"] \n  21 -> 23 [size =\"35101696\"]\n  22 [size=\"27819520\", alpha=\"0.02\", expect_size=\"11127808\"] \n  22 -> 24 [size =\"11127808\"]\n  23 [size=\"39288320\", alpha=\"0.19\", expect_size=\"15715328\"] \n  23 -> 24 [size =\"15715328\"]\n  24 [size=\"19829760\", alpha=\"0.18\", expect_size=\"7931904\"] \n  24 -> 25 [size =\"7931904\"]\n  24 -> 26 [size =\"7931904\"]\n  25 [size=\"102410240\", alpha=\"0.04\", expect_size=\"40964096\"] \n  25 -> 27 [size =\"40964096\"]\n  26 [size=\"23293440\", alpha=\"0.20\", expect_size=\"9317376\"] \n  26 -> 27 [size =\"9317376\"]\n  27 [size=\"92577280\", alpha=\"0.17\", expect_size=\"37030912\"] \n  27 -> 28 [size =\"37030912\"]\n  27 -> 29 [size =\"37030912\"]\n  28 [size=\"73359360\", alpha=\"0.14\", expect_size=\"29343744\"] \n  28 -> 30 [size =\"29343744\"]\n  29 [size=\"100587520\", alpha=\"0.13\", expect_size=\"40235008\"] \n  30 [size=\"29870080\", alpha=\"0.08\", expect_size=\"11948032\"] \n  30 -> 31 [size =\"11948032\"]\n  30 -> 32 [size =\"11948032\"]\n  31 [size=\"33346560\", alpha=\"0.14\", expect_size=\"13338624\"] \n  31 -> 33 [size =\"13338624\"]\n  32 [size=\"120053760\", alpha=\"0.07\", expect_size=\"48021504\"] \n  33 [size=\"14932480\", alpha=\"0.15\", expect_size=\"5972992\"] \n  33 -> 34 [size =\"5972992\"]\n  34 [size=\"128903680\", alpha=\"0.06\", expect_size=\"51561472\"] \n  34 -> 35 [size =\"51561472\"]\n  35 [size=\"115663360\", alpha=\"0.18\", expect_size=\"46265344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79507456\", alpha=\"0.14\", expect_size=\"39753728\"] \n  1 -> 23 [size =\"39753728\"]\n  1 -> 24 [size =\"39753728\"]\n  1 -> 25 [size =\"39753728\"]\n  1 -> 28 [size =\"39753728\"]\n  1 -> 29 [size =\"39753728\"]\n  1 -> 34 [size =\"39753728\"]\n  2 [size=\"76982272\", alpha=\"0.04\", expect_size=\"38491136\"] \n  2 -> 25 [size =\"38491136\"]\n  2 -> 26 [size =\"38491136\"]\n  2 -> 28 [size =\"38491136\"]\n  2 -> 29 [size =\"38491136\"]\n  2 -> 31 [size =\"38491136\"]\n  2 -> 34 [size =\"38491136\"]\n  3 [size=\"80162816\", alpha=\"0.02\", expect_size=\"40081408\"] \n  3 -> 23 [size =\"40081408\"]\n  3 -> 26 [size =\"40081408\"]\n  3 -> 31 [size =\"40081408\"]\n  3 -> 34 [size =\"40081408\"]\n  3 -> 35 [size =\"40081408\"]\n  4 [size=\"87296000\", alpha=\"0.09\", expect_size=\"43648000\"] \n  4 -> 25 [size =\"43648000\"]\n  4 -> 26 [size =\"43648000\"]\n  4 -> 28 [size =\"43648000\"]\n  4 -> 29 [size =\"43648000\"]\n  4 -> 31 [size =\"43648000\"]\n  4 -> 35 [size =\"43648000\"]\n  5 [size=\"22333440\", alpha=\"0.12\", expect_size=\"11166720\"] \n  5 -> 25 [size =\"11166720\"]\n  5 -> 26 [size =\"11166720\"]\n  5 -> 28 [size =\"11166720\"]\n  5 -> 29 [size =\"11166720\"]\n  5 -> 30 [size =\"11166720\"]\n  5 -> 31 [size =\"11166720\"]\n  5 -> 33 [size =\"11166720\"]\n  5 -> 34 [size =\"11166720\"]\n  5 -> 35 [size =\"11166720\"]\n  6 [size=\"86235136\", alpha=\"0.08\", expect_size=\"43117568\"] \n  6 -> 25 [size =\"43117568\"]\n  6 -> 26 [size =\"43117568\"]\n  6 -> 28 [size =\"43117568\"]\n  6 -> 29 [size =\"43117568\"]\n  6 -> 31 [size =\"43117568\"]\n  6 -> 31 [size =\"43117568\"]\n  7 [size=\"67313664\", alpha=\"0.14\", expect_size=\"33656832\"] \n  7 -> 22 [size =\"33656832\"]\n  7 -> 25 [size =\"33656832\"]\n  7 -> 26 [size =\"33656832\"]\n  7 -> 27 [size =\"33656832\"]\n  7 -> 29 [size =\"33656832\"]\n  7 -> 31 [size =\"33656832\"]\n  7 -> 33 [size =\"33656832\"]\n  7 -> 34 [size =\"33656832\"]\n  8 [size=\"40402944\", alpha=\"0.16\", expect_size=\"20201472\"] \n  8 -> 23 [size =\"20201472\"]\n  8 -> 25 [size =\"20201472\"]\n  8 -> 26 [size =\"20201472\"]\n  8 -> 29 [size =\"20201472\"]\n  8 -> 29 [size =\"20201472\"]\n  8 -> 31 [size =\"20201472\"]\n  8 -> 34 [size =\"20201472\"]\n  9 [size=\"65798144\", alpha=\"0.01\", expect_size=\"32899072\"] \n  9 -> 23 [size =\"32899072\"]\n  9 -> 24 [size =\"32899072\"]\n  9 -> 25 [size =\"32899072\"]\n  9 -> 26 [size =\"32899072\"]\n  9 -> 29 [size =\"32899072\"]\n  9 -> 31 [size =\"32899072\"]\n  9 -> 34 [size =\"32899072\"]\n  10 [size=\"20830208\", alpha=\"0.08\", expect_size=\"10415104\"] \n  10 -> 24 [size =\"10415104\"]\n  10 -> 25 [size =\"10415104\"]\n  10 -> 25 [size =\"10415104\"]\n  10 -> 26 [size =\"10415104\"]\n  10 -> 31 [size =\"10415104\"]\n  10 -> 31 [size =\"10415104\"]\n  10 -> 34 [size =\"10415104\"]\n  11 [size=\"12091392\", alpha=\"0.17\", expect_size=\"6045696\"] \n  11 -> 24 [size =\"6045696\"]\n  11 -> 25 [size =\"6045696\"]\n  11 -> 26 [size =\"6045696\"]\n  11 -> 26 [size =\"6045696\"]\n  11 -> 31 [size =\"6045696\"]\n  11 -> 34 [size =\"6045696\"]\n  11 -> 35 [size =\"6045696\"]\n  12 [size=\"76630016\", alpha=\"0.06\", expect_size=\"38315008\"] \n  12 -> 24 [size =\"38315008\"]\n  12 -> 25 [size =\"38315008\"]\n  12 -> 26 [size =\"38315008\"]\n  12 -> 28 [size =\"38315008\"]\n  12 -> 29 [size =\"38315008\"]\n  12 -> 34 [size =\"38315008\"]\n  13 [size=\"95684608\", alpha=\"0.08\", expect_size=\"47842304\"] \n  13 -> 24 [size =\"47842304\"]\n  13 -> 26 [size =\"47842304\"]\n  13 -> 28 [size =\"47842304\"]\n  13 -> 28 [size =\"47842304\"]\n  13 -> 30 [size =\"47842304\"]\n  13 -> 31 [size =\"47842304\"]\n  13 -> 35 [size =\"47842304\"]\n  14 [size=\"12267520\", alpha=\"0.06\", expect_size=\"6133760\"] \n  14 -> 24 [size =\"6133760\"]\n  14 -> 26 [size =\"6133760\"]\n  14 -> 28 [size =\"6133760\"]\n  14 -> 30 [size =\"6133760\"]\n  14 -> 31 [size =\"6133760\"]\n  14 -> 34 [size =\"6133760\"]\n  15 [size=\"55373824\", alpha=\"0.06\", expect_size=\"27686912\"] \n  15 -> 24 [size =\"27686912\"]\n  15 -> 26 [size =\"27686912\"]\n  15 -> 28 [size =\"27686912\"]\n  15 -> 29 [size =\"27686912\"]\n  15 -> 31 [size =\"27686912\"]\n  15 -> 34 [size =\"27686912\"]\n  16 [size=\"17620992\", alpha=\"0.10\", expect_size=\"8810496\"] \n  16 -> 29 [size =\"8810496\"]\n  16 -> 31 [size =\"8810496\"]\n  16 -> 34 [size =\"8810496\"]\n  17 [size=\"54618112\", alpha=\"0.03\", expect_size=\"27309056\"] \n  17 -> 28 [size =\"27309056\"]\n  17 -> 29 [size =\"27309056\"]\n  17 -> 34 [size =\"27309056\"]\n  18 [size=\"27731968\", alpha=\"0.12\", expect_size=\"13865984\"] \n  18 -> 28 [size =\"13865984\"]\n  18 -> 29 [size =\"13865984\"]\n  18 -> 31 [size =\"13865984\"]\n  18 -> 32 [size =\"13865984\"]\n  18 -> 34 [size =\"13865984\"]\n  19 [size=\"102449152\", alpha=\"0.12\", expect_size=\"51224576\"] \n  19 -> 24 [size =\"51224576\"]\n  19 -> 26 [size =\"51224576\"]\n  19 -> 28 [size =\"51224576\"]\n  19 -> 29 [size =\"51224576\"]\n  19 -> 31 [size =\"51224576\"]\n  19 -> 34 [size =\"51224576\"]\n  20 [size=\"11474944\", alpha=\"0.11\", expect_size=\"5737472\"] \n  20 -> 22 [size =\"5737472\"]\n  20 -> 25 [size =\"5737472\"]\n  20 -> 28 [size =\"5737472\"]\n  20 -> 29 [size =\"5737472\"]\n  20 -> 34 [size =\"5737472\"]\n  20 -> 34 [size =\"5737472\"]\n  21 [size=\"48068608\", alpha=\"0.05\", expect_size=\"24034304\"] \n  21 -> 23 [size =\"24034304\"]\n  21 -> 25 [size =\"24034304\"]\n  21 -> 26 [size =\"24034304\"]\n  21 -> 28 [size =\"24034304\"]\n  21 -> 29 [size =\"24034304\"]\n  21 -> 34 [size =\"24034304\"]\n  22 [size=\"31801344\", alpha=\"0.13\", expect_size=\"15900672\"] \n  23 [size=\"60573696\", alpha=\"0.16\", expect_size=\"30286848\"] \n  24 [size=\"96212992\", alpha=\"0.15\", expect_size=\"48106496\"] \n  25 [size=\"31105024\", alpha=\"0.17\", expect_size=\"15552512\"] \n  26 [size=\"57487360\", alpha=\"0.14\", expect_size=\"28743680\"] \n  27 [size=\"104081408\", alpha=\"0.04\", expect_size=\"52040704\"] \n  28 [size=\"25524224\", alpha=\"0.00\", expect_size=\"12762112\"] \n  29 [size=\"82018304\", alpha=\"0.08\", expect_size=\"41009152\"] \n  30 [size=\"43530240\", alpha=\"0.18\", expect_size=\"21765120\"] \n  31 [size=\"96221184\", alpha=\"0.08\", expect_size=\"48110592\"] \n  32 [size=\"25997312\", alpha=\"0.12\", expect_size=\"12998656\"] \n  33 [size=\"88100864\", alpha=\"0.15\", expect_size=\"44050432\"] \n  34 [size=\"69095424\", alpha=\"0.17\", expect_size=\"34547712\"] \n  35 [size=\"45791232\", alpha=\"0.10\", expect_size=\"22895616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70137173\", alpha=\"0.01\", expect_size=\"21041152\"] \n  1 -> 22 [size =\"21041152\"]\n  1 -> 27 [size =\"21041152\"]\n  1 -> 29 [size =\"21041152\"]\n  1 -> 32 [size =\"21041152\"]\n  2 [size=\"40113493\", alpha=\"0.06\", expect_size=\"12034048\"] \n  2 -> 22 [size =\"12034048\"]\n  2 -> 23 [size =\"12034048\"]\n  2 -> 26 [size =\"12034048\"]\n  2 -> 27 [size =\"12034048\"]\n  2 -> 29 [size =\"12034048\"]\n  2 -> 32 [size =\"12034048\"]\n  3 [size=\"150603093\", alpha=\"0.03\", expect_size=\"45180928\"] \n  3 -> 22 [size =\"45180928\"]\n  3 -> 26 [size =\"45180928\"]\n  3 -> 27 [size =\"45180928\"]\n  3 -> 29 [size =\"45180928\"]\n  3 -> 29 [size =\"45180928\"]\n  3 -> 33 [size =\"45180928\"]\n  4 [size=\"117207040\", alpha=\"0.01\", expect_size=\"35162112\"] \n  4 -> 22 [size =\"35162112\"]\n  4 -> 23 [size =\"35162112\"]\n  4 -> 25 [size =\"35162112\"]\n  4 -> 29 [size =\"35162112\"]\n  4 -> 30 [size =\"35162112\"]\n  4 -> 32 [size =\"35162112\"]\n  4 -> 34 [size =\"35162112\"]\n  5 [size=\"112517120\", alpha=\"0.19\", expect_size=\"33755136\"] \n  5 -> 20 [size =\"33755136\"]\n  5 -> 22 [size =\"33755136\"]\n  5 -> 23 [size =\"33755136\"]\n  5 -> 24 [size =\"33755136\"]\n  5 -> 29 [size =\"33755136\"]\n  5 -> 31 [size =\"33755136\"]\n  5 -> 33 [size =\"33755136\"]\n  5 -> 34 [size =\"33755136\"]\n  6 [size=\"147339947\", alpha=\"0.14\", expect_size=\"44201984\"] \n  6 -> 20 [size =\"44201984\"]\n  6 -> 21 [size =\"44201984\"]\n  6 -> 22 [size =\"44201984\"]\n  6 -> 23 [size =\"44201984\"]\n  6 -> 25 [size =\"44201984\"]\n  6 -> 27 [size =\"44201984\"]\n  6 -> 28 [size =\"44201984\"]\n  6 -> 29 [size =\"44201984\"]\n  6 -> 34 [size =\"44201984\"]\n  7 [size=\"133870933\", alpha=\"0.02\", expect_size=\"40161280\"] \n  7 -> 21 [size =\"40161280\"]\n  7 -> 22 [size =\"40161280\"]\n  7 -> 22 [size =\"40161280\"]\n  7 -> 23 [size =\"40161280\"]\n  7 -> 24 [size =\"40161280\"]\n  7 -> 25 [size =\"40161280\"]\n  7 -> 27 [size =\"40161280\"]\n  7 -> 28 [size =\"40161280\"]\n  7 -> 29 [size =\"40161280\"]\n  7 -> 30 [size =\"40161280\"]\n  7 -> 33 [size =\"40161280\"]\n  7 -> 34 [size =\"40161280\"]\n  8 [size=\"25470293\", alpha=\"0.15\", expect_size=\"7641088\"] \n  8 -> 21 [size =\"7641088\"]\n  8 -> 22 [size =\"7641088\"]\n  8 -> 23 [size =\"7641088\"]\n  8 -> 23 [size =\"7641088\"]\n  8 -> 26 [size =\"7641088\"]\n  8 -> 27 [size =\"7641088\"]\n  8 -> 27 [size =\"7641088\"]\n  8 -> 28 [size =\"7641088\"]\n  8 -> 29 [size =\"7641088\"]\n  8 -> 32 [size =\"7641088\"]\n  8 -> 33 [size =\"7641088\"]\n  8 -> 34 [size =\"7641088\"]\n  9 [size=\"95385600\", alpha=\"0.14\", expect_size=\"28615680\"] \n  9 -> 22 [size =\"28615680\"]\n  9 -> 23 [size =\"28615680\"]\n  9 -> 23 [size =\"28615680\"]\n  9 -> 25 [size =\"28615680\"]\n  9 -> 26 [size =\"28615680\"]\n  9 -> 27 [size =\"28615680\"]\n  9 -> 28 [size =\"28615680\"]\n  9 -> 31 [size =\"28615680\"]\n  9 -> 32 [size =\"28615680\"]\n  9 -> 33 [size =\"28615680\"]\n  9 -> 33 [size =\"28615680\"]\n  9 -> 34 [size =\"28615680\"]\n  9 -> 35 [size =\"28615680\"]\n  10 [size=\"131464533\", alpha=\"0.16\", expect_size=\"39439360\"] \n  10 -> 19 [size =\"39439360\"]\n  10 -> 21 [size =\"39439360\"]\n  10 -> 25 [size =\"39439360\"]\n  10 -> 26 [size =\"39439360\"]\n  10 -> 27 [size =\"39439360\"]\n  10 -> 27 [size =\"39439360\"]\n  10 -> 32 [size =\"39439360\"]\n  10 -> 33 [size =\"39439360\"]\n  10 -> 34 [size =\"39439360\"]\n  10 -> 35 [size =\"39439360\"]\n  11 [size=\"89125547\", alpha=\"0.07\", expect_size=\"26737664\"] \n  11 -> 22 [size =\"26737664\"]\n  11 -> 23 [size =\"26737664\"]\n  11 -> 24 [size =\"26737664\"]\n  11 -> 26 [size =\"26737664\"]\n  11 -> 27 [size =\"26737664\"]\n  11 -> 28 [size =\"26737664\"]\n  11 -> 29 [size =\"26737664\"]\n  11 -> 32 [size =\"26737664\"]\n  11 -> 33 [size =\"26737664\"]\n  12 [size=\"96788480\", alpha=\"0.11\", expect_size=\"29036544\"] \n  12 -> 20 [size =\"29036544\"]\n  12 -> 23 [size =\"29036544\"]\n  12 -> 26 [size =\"29036544\"]\n  12 -> 26 [size =\"29036544\"]\n  12 -> 28 [size =\"29036544\"]\n  12 -> 32 [size =\"29036544\"]\n  12 -> 33 [size =\"29036544\"]\n  12 -> 34 [size =\"29036544\"]\n  12 -> 35 [size =\"29036544\"]\n  13 [size=\"142117547\", alpha=\"0.06\", expect_size=\"42635264\"] \n  13 -> 20 [size =\"42635264\"]\n  13 -> 23 [size =\"42635264\"]\n  13 -> 25 [size =\"42635264\"]\n  13 -> 26 [size =\"42635264\"]\n  13 -> 27 [size =\"42635264\"]\n  13 -> 28 [size =\"42635264\"]\n  13 -> 30 [size =\"42635264\"]\n  13 -> 33 [size =\"42635264\"]\n  13 -> 34 [size =\"42635264\"]\n  13 -> 35 [size =\"42635264\"]\n  14 [size=\"162658987\", alpha=\"0.00\", expect_size=\"48797696\"] \n  14 -> 22 [size =\"48797696\"]\n  14 -> 23 [size =\"48797696\"]\n  14 -> 26 [size =\"48797696\"]\n  14 -> 27 [size =\"48797696\"]\n  14 -> 28 [size =\"48797696\"]\n  14 -> 32 [size =\"48797696\"]\n  14 -> 33 [size =\"48797696\"]\n  14 -> 34 [size =\"48797696\"]\n  15 [size=\"171328853\", alpha=\"0.08\", expect_size=\"51398656\"] \n  15 -> 18 [size =\"51398656\"]\n  15 -> 22 [size =\"51398656\"]\n  15 -> 26 [size =\"51398656\"]\n  15 -> 27 [size =\"51398656\"]\n  15 -> 31 [size =\"51398656\"]\n  15 -> 32 [size =\"51398656\"]\n  15 -> 33 [size =\"51398656\"]\n  15 -> 34 [size =\"51398656\"]\n  16 [size=\"164594347\", alpha=\"0.00\", expect_size=\"49378304\"] \n  16 -> 22 [size =\"49378304\"]\n  16 -> 26 [size =\"49378304\"]\n  16 -> 27 [size =\"49378304\"]\n  16 -> 29 [size =\"49378304\"]\n  16 -> 32 [size =\"49378304\"]\n  16 -> 32 [size =\"49378304\"]\n  16 -> 33 [size =\"49378304\"]\n  16 -> 34 [size =\"49378304\"]\n  17 [size=\"118787413\", alpha=\"0.06\", expect_size=\"35636224\"] \n  17 -> 22 [size =\"35636224\"]\n  17 -> 23 [size =\"35636224\"]\n  17 -> 26 [size =\"35636224\"]\n  17 -> 28 [size =\"35636224\"]\n  17 -> 29 [size =\"35636224\"]\n  17 -> 31 [size =\"35636224\"]\n  17 -> 32 [size =\"35636224\"]\n  17 -> 34 [size =\"35636224\"]\n  18 [size=\"136512853\", alpha=\"0.03\", expect_size=\"40953856\"] \n  19 [size=\"95795200\", alpha=\"0.01\", expect_size=\"28738560\"] \n  20 [size=\"50247680\", alpha=\"0.15\", expect_size=\"15074304\"] \n  21 [size=\"172503040\", alpha=\"0.15\", expect_size=\"51750912\"] \n  22 [size=\"71123627\", alpha=\"0.19\", expect_size=\"21337088\"] \n  23 [size=\"158030507\", alpha=\"0.19\", expect_size=\"47409152\"] \n  24 [size=\"46694400\", alpha=\"0.12\", expect_size=\"14008320\"] \n  25 [size=\"50507093\", alpha=\"0.17\", expect_size=\"15152128\"] \n  26 [size=\"114923520\", alpha=\"0.19\", expect_size=\"34477056\"] \n  27 [size=\"115899733\", alpha=\"0.15\", expect_size=\"34769920\"] \n  28 [size=\"160542720\", alpha=\"0.12\", expect_size=\"48162816\"] \n  29 [size=\"29774507\", alpha=\"0.20\", expect_size=\"8932352\"] \n  30 [size=\"37085867\", alpha=\"0.01\", expect_size=\"11125760\"] \n  31 [size=\"152944640\", alpha=\"0.12\", expect_size=\"45883392\"] \n  32 [size=\"115438933\", alpha=\"0.13\", expect_size=\"34631680\"] \n  33 [size=\"104495787\", alpha=\"0.10\", expect_size=\"31348736\"] \n  34 [size=\"95955627\", alpha=\"0.06\", expect_size=\"28786688\"] \n  35 [size=\"32262827\", alpha=\"0.00\", expect_size=\"9678848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92504064\", alpha=\"0.09\", expect_size=\"46252032\"] \n  1 -> 2 [size =\"46252032\"]\n  2 [size=\"85899264\", alpha=\"0.18\", expect_size=\"42949632\"] \n  2 -> 3 [size =\"42949632\"]\n  2 -> 4 [size =\"42949632\"]\n  3 [size=\"100933632\", alpha=\"0.19\", expect_size=\"50466816\"] \n  3 -> 5 [size =\"50466816\"]\n  3 -> 6 [size =\"50466816\"]\n  4 [size=\"95942656\", alpha=\"0.17\", expect_size=\"47971328\"] \n  5 [size=\"104798208\", alpha=\"0.15\", expect_size=\"52399104\"] \n  5 -> 7 [size =\"52399104\"]\n  5 -> 8 [size =\"52399104\"]\n  6 [size=\"101689344\", alpha=\"0.18\", expect_size=\"50844672\"] \n  6 -> 8 [size =\"50844672\"]\n  7 [size=\"51599360\", alpha=\"0.02\", expect_size=\"25799680\"] \n  7 -> 9 [size =\"25799680\"]\n  8 [size=\"61110272\", alpha=\"0.08\", expect_size=\"30555136\"] \n  8 -> 9 [size =\"30555136\"]\n  9 [size=\"96000000\", alpha=\"0.19\", expect_size=\"48000000\"] \n  9 -> 10 [size =\"48000000\"]\n  10 [size=\"86833152\", alpha=\"0.20\", expect_size=\"43416576\"] \n  10 -> 11 [size =\"43416576\"]\n  10 -> 12 [size =\"43416576\"]\n  11 [size=\"69298176\", alpha=\"0.04\", expect_size=\"34649088\"] \n  11 -> 13 [size =\"34649088\"]\n  12 [size=\"16400384\", alpha=\"0.13\", expect_size=\"8200192\"] \n  12 -> 14 [size =\"8200192\"]\n  13 [size=\"99547136\", alpha=\"0.07\", expect_size=\"49773568\"] \n  13 -> 15 [size =\"49773568\"]\n  14 [size=\"94150656\", alpha=\"0.15\", expect_size=\"47075328\"] \n  15 [size=\"81426432\", alpha=\"0.13\", expect_size=\"40713216\"] \n  15 -> 16 [size =\"40713216\"]\n  16 [size=\"57837568\", alpha=\"0.18\", expect_size=\"28918784\"] \n  16 -> 17 [size =\"28918784\"]\n  17 [size=\"49100800\", alpha=\"0.15\", expect_size=\"24550400\"] \n  17 -> 18 [size =\"24550400\"]\n  17 -> 19 [size =\"24550400\"]\n  18 [size=\"56223744\", alpha=\"0.08\", expect_size=\"28111872\"] \n  19 [size=\"94646272\", alpha=\"0.00\", expect_size=\"47323136\"] \n  19 -> 20 [size =\"47323136\"]\n  20 [size=\"90224640\", alpha=\"0.11\", expect_size=\"45112320\"] \n  20 -> 21 [size =\"45112320\"]\n  21 [size=\"89085952\", alpha=\"0.20\", expect_size=\"44542976\"] \n  21 -> 22 [size =\"44542976\"]\n  21 -> 23 [size =\"44542976\"]\n  22 [size=\"14301184\", alpha=\"0.04\", expect_size=\"7150592\"] \n  22 -> 24 [size =\"7150592\"]\n  23 [size=\"73494528\", alpha=\"0.08\", expect_size=\"36747264\"] \n  24 [size=\"10803200\", alpha=\"0.09\", expect_size=\"5401600\"] \n  24 -> 25 [size =\"5401600\"]\n  25 [size=\"83367936\", alpha=\"0.11\", expect_size=\"41683968\"] \n  25 -> 26 [size =\"41683968\"]\n  26 [size=\"48359424\", alpha=\"0.12\", expect_size=\"24179712\"] \n  26 -> 27 [size =\"24179712\"]\n  26 -> 28 [size =\"24179712\"]\n  27 [size=\"39639040\", alpha=\"0.02\", expect_size=\"19819520\"] \n  27 -> 29 [size =\"19819520\"]\n  28 [size=\"14393344\", alpha=\"0.02\", expect_size=\"7196672\"] \n  28 -> 29 [size =\"7196672\"]\n  28 -> 30 [size =\"7196672\"]\n  29 [size=\"49879040\", alpha=\"0.01\", expect_size=\"24939520\"] \n  29 -> 31 [size =\"24939520\"]\n  29 -> 32 [size =\"24939520\"]\n  30 [size=\"51752960\", alpha=\"0.15\", expect_size=\"25876480\"] \n  31 [size=\"11229184\", alpha=\"0.03\", expect_size=\"5614592\"] \n  31 -> 33 [size =\"5614592\"]\n  32 [size=\"104701952\", alpha=\"0.11\", expect_size=\"52350976\"] \n  33 [size=\"30097408\", alpha=\"0.18\", expect_size=\"15048704\"] \n  33 -> 34 [size =\"15048704\"]\n  33 -> 35 [size =\"15048704\"]\n  34 [size=\"66607104\", alpha=\"0.03\", expect_size=\"33303552\"] \n  35 [size=\"16574464\", alpha=\"0.03\", expect_size=\"8287232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17801216\", alpha=\"0.04\", expect_size=\"8900608\"] \n  1 -> 11 [size =\"8900608\"]\n  2 [size=\"38086656\", alpha=\"0.15\", expect_size=\"19043328\"] \n  2 -> 10 [size =\"19043328\"]\n  3 [size=\"18356224\", alpha=\"0.14\", expect_size=\"9178112\"] \n  3 -> 6 [size =\"9178112\"]\n  3 -> 7 [size =\"9178112\"]\n  3 -> 8 [size =\"9178112\"]\n  3 -> 11 [size =\"9178112\"]\n  4 [size=\"48015360\", alpha=\"0.17\", expect_size=\"24007680\"] \n  4 -> 7 [size =\"24007680\"]\n  4 -> 8 [size =\"24007680\"]\n  4 -> 10 [size =\"24007680\"]\n  5 [size=\"62111744\", alpha=\"0.19\", expect_size=\"31055872\"] \n  5 -> 6 [size =\"31055872\"]\n  5 -> 9 [size =\"31055872\"]\n  5 -> 10 [size =\"31055872\"]\n  5 -> 11 [size =\"31055872\"]\n  6 [size=\"62951424\", alpha=\"0.04\", expect_size=\"31475712\"] \n  7 [size=\"44326912\", alpha=\"0.12\", expect_size=\"22163456\"] \n  7 -> 16 [size =\"22163456\"]\n  8 [size=\"11282432\", alpha=\"0.02\", expect_size=\"5641216\"] \n  8 -> 13 [size =\"5641216\"]\n  8 -> 14 [size =\"5641216\"]\n  9 [size=\"95088640\", alpha=\"0.10\", expect_size=\"47544320\"] \n  9 -> 13 [size =\"47544320\"]\n  9 -> 14 [size =\"47544320\"]\n  9 -> 15 [size =\"47544320\"]\n  10 [size=\"75329536\", alpha=\"0.02\", expect_size=\"37664768\"] \n  10 -> 12 [size =\"37664768\"]\n  10 -> 13 [size =\"37664768\"]\n  10 -> 14 [size =\"37664768\"]\n  10 -> 16 [size =\"37664768\"]\n  11 [size=\"25796608\", alpha=\"0.04\", expect_size=\"12898304\"] \n  11 -> 12 [size =\"12898304\"]\n  11 -> 13 [size =\"12898304\"]\n  11 -> 14 [size =\"12898304\"]\n  11 -> 16 [size =\"12898304\"]\n  12 [size=\"42463232\", alpha=\"0.11\", expect_size=\"21231616\"] \n  13 [size=\"20942848\", alpha=\"0.16\", expect_size=\"10471424\"] \n  13 -> 17 [size =\"10471424\"]\n  13 -> 18 [size =\"10471424\"]\n  13 -> 20 [size =\"10471424\"]\n  14 [size=\"86556672\", alpha=\"0.04\", expect_size=\"43278336\"] \n  14 -> 18 [size =\"43278336\"]\n  14 -> 19 [size =\"43278336\"]\n  14 -> 20 [size =\"43278336\"]\n  15 [size=\"74305536\", alpha=\"0.04\", expect_size=\"37152768\"] \n  16 [size=\"68730880\", alpha=\"0.00\", expect_size=\"34365440\"] \n  16 -> 18 [size =\"34365440\"]\n  16 -> 19 [size =\"34365440\"]\n  17 [size=\"85606400\", alpha=\"0.14\", expect_size=\"42803200\"] \n  17 -> 21 [size =\"42803200\"]\n  18 [size=\"48355328\", alpha=\"0.08\", expect_size=\"24177664\"] \n  18 -> 21 [size =\"24177664\"]\n  18 -> 24 [size =\"24177664\"]\n  18 -> 25 [size =\"24177664\"]\n  18 -> 26 [size =\"24177664\"]\n  19 [size=\"58802176\", alpha=\"0.13\", expect_size=\"29401088\"] \n  19 -> 21 [size =\"29401088\"]\n  19 -> 22 [size =\"29401088\"]\n  19 -> 24 [size =\"29401088\"]\n  20 [size=\"103671808\", alpha=\"0.18\", expect_size=\"51835904\"] \n  20 -> 23 [size =\"51835904\"]\n  20 -> 25 [size =\"51835904\"]\n  21 [size=\"21012480\", alpha=\"0.05\", expect_size=\"10506240\"] \n  22 [size=\"40972288\", alpha=\"0.18\", expect_size=\"20486144\"] \n  22 -> 28 [size =\"20486144\"]\n  23 [size=\"93808640\", alpha=\"0.13\", expect_size=\"46904320\"] \n  23 -> 28 [size =\"46904320\"]\n  24 [size=\"74661888\", alpha=\"0.15\", expect_size=\"37330944\"] \n  24 -> 28 [size =\"37330944\"]\n  25 [size=\"91930624\", alpha=\"0.09\", expect_size=\"45965312\"] \n  25 -> 27 [size =\"45965312\"]\n  26 [size=\"16187392\", alpha=\"0.14\", expect_size=\"8093696\"] \n  26 -> 27 [size =\"8093696\"]\n  27 [size=\"18497536\", alpha=\"0.05\", expect_size=\"9248768\"] \n  27 -> 29 [size =\"9248768\"]\n  27 -> 31 [size =\"9248768\"]\n  27 -> 32 [size =\"9248768\"]\n  28 [size=\"85796864\", alpha=\"0.17\", expect_size=\"42898432\"] \n  28 -> 30 [size =\"42898432\"]\n  28 -> 32 [size =\"42898432\"]\n  28 -> 33 [size =\"42898432\"]\n  29 [size=\"29343744\", alpha=\"0.07\", expect_size=\"14671872\"] \n  29 -> 34 [size =\"14671872\"]\n  29 -> 35 [size =\"14671872\"]\n  30 [size=\"89970688\", alpha=\"0.11\", expect_size=\"44985344\"] \n  31 [size=\"82239488\", alpha=\"0.18\", expect_size=\"41119744\"] \n  32 [size=\"13463552\", alpha=\"0.11\", expect_size=\"6731776\"] \n  32 -> 34 [size =\"6731776\"]\n  33 [size=\"99989504\", alpha=\"0.07\", expect_size=\"49994752\"] \n  33 -> 34 [size =\"49994752\"]\n  33 -> 35 [size =\"49994752\"]\n  34 [size=\"66574336\", alpha=\"0.19\", expect_size=\"33287168\"] \n  35 [size=\"45123584\", alpha=\"0.05\", expect_size=\"22561792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82071040\", alpha=\"0.14\", expect_size=\"32828416\"] \n  1 -> 15 [size =\"32828416\"]\n  1 -> 16 [size =\"32828416\"]\n  1 -> 20 [size =\"32828416\"]\n  2 [size=\"52625920\", alpha=\"0.10\", expect_size=\"21050368\"] \n  2 -> 15 [size =\"21050368\"]\n  2 -> 19 [size =\"21050368\"]\n  2 -> 20 [size =\"21050368\"]\n  2 -> 22 [size =\"21050368\"]\n  3 [size=\"90081280\", alpha=\"0.15\", expect_size=\"36032512\"] \n  3 -> 13 [size =\"36032512\"]\n  3 -> 15 [size =\"36032512\"]\n  3 -> 22 [size =\"36032512\"]\n  4 [size=\"69800960\", alpha=\"0.08\", expect_size=\"27920384\"] \n  4 -> 13 [size =\"27920384\"]\n  4 -> 14 [size =\"27920384\"]\n  4 -> 15 [size =\"27920384\"]\n  4 -> 17 [size =\"27920384\"]\n  4 -> 20 [size =\"27920384\"]\n  5 [size=\"75025920\", alpha=\"0.08\", expect_size=\"30010368\"] \n  5 -> 12 [size =\"30010368\"]\n  5 -> 13 [size =\"30010368\"]\n  5 -> 15 [size =\"30010368\"]\n  5 -> 19 [size =\"30010368\"]\n  5 -> 20 [size =\"30010368\"]\n  5 -> 21 [size =\"30010368\"]\n  6 [size=\"23577600\", alpha=\"0.10\", expect_size=\"9431040\"] \n  6 -> 13 [size =\"9431040\"]\n  6 -> 14 [size =\"9431040\"]\n  6 -> 15 [size =\"9431040\"]\n  6 -> 18 [size =\"9431040\"]\n  6 -> 19 [size =\"9431040\"]\n  6 -> 20 [size =\"9431040\"]\n  6 -> 21 [size =\"9431040\"]\n  6 -> 22 [size =\"9431040\"]\n  7 [size=\"46103040\", alpha=\"0.15\", expect_size=\"18441216\"] \n  7 -> 18 [size =\"18441216\"]\n  7 -> 20 [size =\"18441216\"]\n  7 -> 21 [size =\"18441216\"]\n  8 [size=\"67095040\", alpha=\"0.13\", expect_size=\"26838016\"] \n  8 -> 16 [size =\"26838016\"]\n  8 -> 18 [size =\"26838016\"]\n  8 -> 20 [size =\"26838016\"]\n  8 -> 22 [size =\"26838016\"]\n  9 [size=\"79790080\", alpha=\"0.04\", expect_size=\"31916032\"] \n  9 -> 14 [size =\"31916032\"]\n  9 -> 15 [size =\"31916032\"]\n  9 -> 19 [size =\"31916032\"]\n  10 [size=\"119360000\", alpha=\"0.01\", expect_size=\"47744000\"] \n  11 [size=\"82227200\", alpha=\"0.08\", expect_size=\"32890880\"] \n  11 -> 15 [size =\"32890880\"]\n  11 -> 16 [size =\"32890880\"]\n  11 -> 18 [size =\"32890880\"]\n  11 -> 19 [size =\"32890880\"]\n  11 -> 22 [size =\"32890880\"]\n  12 [size=\"44756480\", alpha=\"0.16\", expect_size=\"17902592\"] \n  12 -> 24 [size =\"17902592\"]\n  12 -> 26 [size =\"17902592\"]\n  12 -> 30 [size =\"17902592\"]\n  13 [size=\"103086080\", alpha=\"0.05\", expect_size=\"41234432\"] \n  13 -> 26 [size =\"41234432\"]\n  13 -> 26 [size =\"41234432\"]\n  13 -> 31 [size =\"41234432\"]\n  14 [size=\"73139200\", alpha=\"0.14\", expect_size=\"29255680\"] \n  14 -> 25 [size =\"29255680\"]\n  14 -> 31 [size =\"29255680\"]\n  15 [size=\"122219520\", alpha=\"0.09\", expect_size=\"48887808\"] \n  15 -> 24 [size =\"48887808\"]\n  15 -> 25 [size =\"48887808\"]\n  15 -> 29 [size =\"48887808\"]\n  15 -> 31 [size =\"48887808\"]\n  16 [size=\"49016320\", alpha=\"0.08\", expect_size=\"19606528\"] \n  16 -> 24 [size =\"19606528\"]\n  16 -> 25 [size =\"19606528\"]\n  16 -> 26 [size =\"19606528\"]\n  16 -> 28 [size =\"19606528\"]\n  17 [size=\"108771840\", alpha=\"0.05\", expect_size=\"43508736\"] \n  17 -> 23 [size =\"43508736\"]\n  17 -> 24 [size =\"43508736\"]\n  17 -> 28 [size =\"43508736\"]\n  17 -> 29 [size =\"43508736\"]\n  18 [size=\"77393920\", alpha=\"0.03\", expect_size=\"30957568\"] \n  18 -> 24 [size =\"30957568\"]\n  18 -> 25 [size =\"30957568\"]\n  18 -> 27 [size =\"30957568\"]\n  18 -> 28 [size =\"30957568\"]\n  18 -> 29 [size =\"30957568\"]\n  19 [size=\"33338880\", alpha=\"0.11\", expect_size=\"13335552\"] \n  19 -> 24 [size =\"13335552\"]\n  19 -> 25 [size =\"13335552\"]\n  19 -> 26 [size =\"13335552\"]\n  19 -> 27 [size =\"13335552\"]\n  19 -> 28 [size =\"13335552\"]\n  19 -> 31 [size =\"13335552\"]\n  19 -> 33 [size =\"13335552\"]\n  20 [size=\"54507520\", alpha=\"0.06\", expect_size=\"21803008\"] \n  20 -> 25 [size =\"21803008\"]\n  20 -> 26 [size =\"21803008\"]\n  20 -> 28 [size =\"21803008\"]\n  20 -> 30 [size =\"21803008\"]\n  20 -> 31 [size =\"21803008\"]\n  21 [size=\"57574400\", alpha=\"0.12\", expect_size=\"23029760\"] \n  21 -> 25 [size =\"23029760\"]\n  21 -> 26 [size =\"23029760\"]\n  21 -> 30 [size =\"23029760\"]\n  21 -> 31 [size =\"23029760\"]\n  21 -> 33 [size =\"23029760\"]\n  21 -> 34 [size =\"23029760\"]\n  22 [size=\"107586560\", alpha=\"0.06\", expect_size=\"43034624\"] \n  22 -> 23 [size =\"43034624\"]\n  22 -> 25 [size =\"43034624\"]\n  22 -> 28 [size =\"43034624\"]\n  22 -> 31 [size =\"43034624\"]\n  22 -> 32 [size =\"43034624\"]\n  23 [size=\"81774080\", alpha=\"0.12\", expect_size=\"32709632\"] \n  24 [size=\"113454080\", alpha=\"0.08\", expect_size=\"45381632\"] \n  25 [size=\"78968320\", alpha=\"0.15\", expect_size=\"31587328\"] \n  26 [size=\"17026560\", alpha=\"0.03\", expect_size=\"6810624\"] \n  27 [size=\"66396160\", alpha=\"0.17\", expect_size=\"26558464\"] \n  28 [size=\"98780160\", alpha=\"0.20\", expect_size=\"39512064\"] \n  29 [size=\"115018240\", alpha=\"0.14\", expect_size=\"46007296\"] \n  30 [size=\"60052480\", alpha=\"0.06\", expect_size=\"24020992\"] \n  31 [size=\"93263360\", alpha=\"0.10\", expect_size=\"37305344\"] \n  32 [size=\"47687680\", alpha=\"0.20\", expect_size=\"19075072\"] \n  32 -> 35 [size =\"19075072\"]\n  33 [size=\"80808960\", alpha=\"0.05\", expect_size=\"32323584\"] \n  34 [size=\"33674240\", alpha=\"0.19\", expect_size=\"13469696\"] \n  35 [size=\"80944640\", alpha=\"0.13\", expect_size=\"32377856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41413973\", alpha=\"0.13\", expect_size=\"12424192\"] \n  1 -> 30 [size =\"12424192\"]\n  1 -> 34 [size =\"12424192\"]\n  1 -> 35 [size =\"12424192\"]\n  2 [size=\"170134187\", alpha=\"0.11\", expect_size=\"51040256\"] \n  2 -> 34 [size =\"51040256\"]\n  3 [size=\"124634453\", alpha=\"0.14\", expect_size=\"37390336\"] \n  4 [size=\"34409813\", alpha=\"0.07\", expect_size=\"10322944\"] \n  5 [size=\"104990720\", alpha=\"0.11\", expect_size=\"31497216\"] \n  5 -> 30 [size =\"31497216\"]\n  5 -> 31 [size =\"31497216\"]\n  5 -> 32 [size =\"31497216\"]\n  5 -> 35 [size =\"31497216\"]\n  6 [size=\"82606080\", alpha=\"0.14\", expect_size=\"24781824\"] \n  6 -> 30 [size =\"24781824\"]\n  6 -> 33 [size =\"24781824\"]\n  7 [size=\"124020053\", alpha=\"0.17\", expect_size=\"37206016\"] \n  7 -> 30 [size =\"37206016\"]\n  7 -> 33 [size =\"37206016\"]\n  8 [size=\"61689173\", alpha=\"0.02\", expect_size=\"18506752\"] \n  8 -> 30 [size =\"18506752\"]\n  9 [size=\"136683520\", alpha=\"0.15\", expect_size=\"41005056\"] \n  9 -> 30 [size =\"41005056\"]\n  9 -> 31 [size =\"41005056\"]\n  10 [size=\"35119787\", alpha=\"0.10\", expect_size=\"10535936\"] \n  11 [size=\"68116480\", alpha=\"0.20\", expect_size=\"20434944\"] \n  11 -> 31 [size =\"20434944\"]\n  11 -> 33 [size =\"20434944\"]\n  11 -> 34 [size =\"20434944\"]\n  12 [size=\"170905600\", alpha=\"0.17\", expect_size=\"51271680\"] \n  12 -> 33 [size =\"51271680\"]\n  12 -> 34 [size =\"51271680\"]\n  13 [size=\"101553493\", alpha=\"0.12\", expect_size=\"30466048\"] \n  14 [size=\"52534613\", alpha=\"0.05\", expect_size=\"15760384\"] \n  14 -> 30 [size =\"15760384\"]\n  14 -> 33 [size =\"15760384\"]\n  15 [size=\"110260907\", alpha=\"0.18\", expect_size=\"33078272\"] \n  16 [size=\"39243093\", alpha=\"0.03\", expect_size=\"11772928\"] \n  16 -> 30 [size =\"11772928\"]\n  16 -> 32 [size =\"11772928\"]\n  16 -> 34 [size =\"11772928\"]\n  17 [size=\"146520747\", alpha=\"0.15\", expect_size=\"43956224\"] \n  17 -> 35 [size =\"43956224\"]\n  18 [size=\"120190293\", alpha=\"0.01\", expect_size=\"36057088\"] \n  19 [size=\"139202560\", alpha=\"0.12\", expect_size=\"41760768\"] \n  19 -> 30 [size =\"41760768\"]\n  20 [size=\"103127040\", alpha=\"0.10\", expect_size=\"30938112\"] \n  21 [size=\"22756693\", alpha=\"0.11\", expect_size=\"6827008\"] \n  21 -> 30 [size =\"6827008\"]\n  21 -> 35 [size =\"6827008\"]\n  22 [size=\"21094400\", alpha=\"0.11\", expect_size=\"6328320\"] \n  22 -> 32 [size =\"6328320\"]\n  23 [size=\"155504640\", alpha=\"0.05\", expect_size=\"46651392\"] \n  23 -> 30 [size =\"46651392\"]\n  23 -> 32 [size =\"46651392\"]\n  24 [size=\"93317120\", alpha=\"0.01\", expect_size=\"27995136\"] \n  24 -> 30 [size =\"27995136\"]\n  24 -> 35 [size =\"27995136\"]\n  25 [size=\"132259840\", alpha=\"0.09\", expect_size=\"39677952\"] \n  25 -> 33 [size =\"39677952\"]\n  26 [size=\"115643733\", alpha=\"0.04\", expect_size=\"34693120\"] \n  26 -> 30 [size =\"34693120\"]\n  26 -> 34 [size =\"34693120\"]\n  26 -> 35 [size =\"34693120\"]\n  27 [size=\"140032000\", alpha=\"0.13\", expect_size=\"42009600\"] \n  27 -> 31 [size =\"42009600\"]\n  27 -> 35 [size =\"42009600\"]\n  28 [size=\"102901760\", alpha=\"0.08\", expect_size=\"30870528\"] \n  28 -> 30 [size =\"30870528\"]\n  28 -> 33 [size =\"30870528\"]\n  29 [size=\"108154880\", alpha=\"0.18\", expect_size=\"32446464\"] \n  29 -> 32 [size =\"32446464\"]\n  29 -> 33 [size =\"32446464\"]\n  30 [size=\"44107093\", alpha=\"0.10\", expect_size=\"13232128\"] \n  31 [size=\"121026560\", alpha=\"0.09\", expect_size=\"36307968\"] \n  32 [size=\"48281600\", alpha=\"0.07\", expect_size=\"14484480\"] \n  33 [size=\"135819947\", alpha=\"0.16\", expect_size=\"40745984\"] \n  34 [size=\"18937173\", alpha=\"0.09\", expect_size=\"5681152\"] \n  35 [size=\"29149867\", alpha=\"0.14\", expect_size=\"8744960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21169493\", alpha=\"0.02\", expect_size=\"6350848\"] \n  1 -> 12 [size =\"6350848\"]\n  1 -> 15 [size =\"6350848\"]\n  1 -> 17 [size =\"6350848\"]\n  2 [size=\"41311573\", alpha=\"0.18\", expect_size=\"12393472\"] \n  2 -> 13 [size =\"12393472\"]\n  2 -> 14 [size =\"12393472\"]\n  2 -> 15 [size =\"12393472\"]\n  3 [size=\"50558293\", alpha=\"0.09\", expect_size=\"15167488\"] \n  3 -> 12 [size =\"15167488\"]\n  3 -> 13 [size =\"15167488\"]\n  3 -> 14 [size =\"15167488\"]\n  3 -> 15 [size =\"15167488\"]\n  4 [size=\"170731520\", alpha=\"0.01\", expect_size=\"51219456\"] \n  4 -> 12 [size =\"51219456\"]\n  4 -> 13 [size =\"51219456\"]\n  4 -> 14 [size =\"51219456\"]\n  4 -> 15 [size =\"51219456\"]\n  5 [size=\"82981547\", alpha=\"0.03\", expect_size=\"24894464\"] \n  5 -> 13 [size =\"24894464\"]\n  5 -> 16 [size =\"24894464\"]\n  6 [size=\"97959253\", alpha=\"0.04\", expect_size=\"29387776\"] \n  6 -> 12 [size =\"29387776\"]\n  6 -> 13 [size =\"29387776\"]\n  7 [size=\"134748160\", alpha=\"0.05\", expect_size=\"40424448\"] \n  7 -> 12 [size =\"40424448\"]\n  7 -> 13 [size =\"40424448\"]\n  7 -> 15 [size =\"40424448\"]\n  8 [size=\"31409493\", alpha=\"0.09\", expect_size=\"9422848\"] \n  8 -> 12 [size =\"9422848\"]\n  8 -> 13 [size =\"9422848\"]\n  8 -> 14 [size =\"9422848\"]\n  9 [size=\"169547093\", alpha=\"0.13\", expect_size=\"50864128\"] \n  9 -> 12 [size =\"50864128\"]\n  9 -> 13 [size =\"50864128\"]\n  9 -> 14 [size =\"50864128\"]\n  10 [size=\"81073493\", alpha=\"0.08\", expect_size=\"24322048\"] \n  10 -> 12 [size =\"24322048\"]\n  10 -> 14 [size =\"24322048\"]\n  10 -> 14 [size =\"24322048\"]\n  11 [size=\"103635627\", alpha=\"0.16\", expect_size=\"31090688\"] \n  12 [size=\"117872640\", alpha=\"0.02\", expect_size=\"35361792\"] \n  12 -> 23 [size =\"35361792\"]\n  12 -> 26 [size =\"35361792\"]\n  12 -> 27 [size =\"35361792\"]\n  12 -> 29 [size =\"35361792\"]\n  12 -> 30 [size =\"35361792\"]\n  12 -> 32 [size =\"35361792\"]\n  13 [size=\"105809920\", alpha=\"0.11\", expect_size=\"31742976\"] \n  13 -> 18 [size =\"31742976\"]\n  13 -> 19 [size =\"31742976\"]\n  13 -> 21 [size =\"31742976\"]\n  13 -> 22 [size =\"31742976\"]\n  13 -> 24 [size =\"31742976\"]\n  13 -> 25 [size =\"31742976\"]\n  13 -> 26 [size =\"31742976\"]\n  13 -> 27 [size =\"31742976\"]\n  13 -> 29 [size =\"31742976\"]\n  13 -> 32 [size =\"31742976\"]\n  14 [size=\"19329707\", alpha=\"0.12\", expect_size=\"5798912\"] \n  14 -> 21 [size =\"5798912\"]\n  14 -> 23 [size =\"5798912\"]\n  14 -> 26 [size =\"5798912\"]\n  14 -> 31 [size =\"5798912\"]\n  14 -> 32 [size =\"5798912\"]\n  15 [size=\"30566400\", alpha=\"0.11\", expect_size=\"9169920\"] \n  15 -> 18 [size =\"9169920\"]\n  15 -> 19 [size =\"9169920\"]\n  15 -> 21 [size =\"9169920\"]\n  16 [size=\"54705493\", alpha=\"0.07\", expect_size=\"16411648\"] \n  16 -> 25 [size =\"16411648\"]\n  16 -> 27 [size =\"16411648\"]\n  16 -> 29 [size =\"16411648\"]\n  17 [size=\"90053973\", alpha=\"0.08\", expect_size=\"27016192\"] \n  17 -> 20 [size =\"27016192\"]\n  17 -> 26 [size =\"27016192\"]\n  17 -> 28 [size =\"27016192\"]\n  17 -> 29 [size =\"27016192\"]\n  18 [size=\"127371947\", alpha=\"0.01\", expect_size=\"38211584\"] \n  18 -> 34 [size =\"38211584\"]\n  19 [size=\"42482347\", alpha=\"0.06\", expect_size=\"12744704\"] \n  19 -> 33 [size =\"12744704\"]\n  19 -> 34 [size =\"12744704\"]\n  20 [size=\"143100587\", alpha=\"0.12\", expect_size=\"42930176\"] \n  20 -> 33 [size =\"42930176\"]\n  20 -> 34 [size =\"42930176\"]\n  21 [size=\"48541013\", alpha=\"0.18\", expect_size=\"14562304\"] \n  22 [size=\"19107840\", alpha=\"0.07\", expect_size=\"5732352\"] \n  22 -> 33 [size =\"5732352\"]\n  23 [size=\"35976533\", alpha=\"0.01\", expect_size=\"10792960\"] \n  24 [size=\"121094827\", alpha=\"0.14\", expect_size=\"36328448\"] \n  24 -> 34 [size =\"36328448\"]\n  24 -> 35 [size =\"36328448\"]\n  25 [size=\"55606613\", alpha=\"0.15\", expect_size=\"16681984\"] \n  25 -> 34 [size =\"16681984\"]\n  25 -> 35 [size =\"16681984\"]\n  26 [size=\"138909013\", alpha=\"0.06\", expect_size=\"41672704\"] \n  26 -> 33 [size =\"41672704\"]\n  26 -> 34 [size =\"41672704\"]\n  27 [size=\"37570560\", alpha=\"0.13\", expect_size=\"11271168\"] \n  27 -> 33 [size =\"11271168\"]\n  27 -> 34 [size =\"11271168\"]\n  28 [size=\"97942187\", alpha=\"0.01\", expect_size=\"29382656\"] \n  28 -> 33 [size =\"29382656\"]\n  28 -> 34 [size =\"29382656\"]\n  29 [size=\"108475733\", alpha=\"0.08\", expect_size=\"32542720\"] \n  29 -> 33 [size =\"32542720\"]\n  29 -> 34 [size =\"32542720\"]\n  30 [size=\"157832533\", alpha=\"0.04\", expect_size=\"47349760\"] \n  30 -> 33 [size =\"47349760\"]\n  30 -> 34 [size =\"47349760\"]\n  31 [size=\"94617600\", alpha=\"0.10\", expect_size=\"28385280\"] \n  31 -> 33 [size =\"28385280\"]\n  31 -> 34 [size =\"28385280\"]\n  32 [size=\"79810560\", alpha=\"0.10\", expect_size=\"23943168\"] \n  32 -> 33 [size =\"23943168\"]\n  32 -> 35 [size =\"23943168\"]\n  33 [size=\"137246720\", alpha=\"0.00\", expect_size=\"41174016\"] \n  34 [size=\"142731947\", alpha=\"0.11\", expect_size=\"42819584\"] \n  35 [size=\"92228267\", alpha=\"0.03\", expect_size=\"27668480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74465280\", alpha=\"0.18\", expect_size=\"22339584\"] \n  2 [size=\"151688533\", alpha=\"0.15\", expect_size=\"45506560\"] \n  2 -> 31 [size =\"45506560\"]\n  2 -> 34 [size =\"45506560\"]\n  2 -> 35 [size =\"45506560\"]\n  3 [size=\"159436800\", alpha=\"0.05\", expect_size=\"47831040\"] \n  3 -> 23 [size =\"47831040\"]\n  3 -> 27 [size =\"47831040\"]\n  3 -> 32 [size =\"47831040\"]\n  3 -> 35 [size =\"47831040\"]\n  4 [size=\"57494187\", alpha=\"0.11\", expect_size=\"17248256\"] \n  4 -> 24 [size =\"17248256\"]\n  4 -> 27 [size =\"17248256\"]\n  4 -> 32 [size =\"17248256\"]\n  5 [size=\"20910080\", alpha=\"0.05\", expect_size=\"6273024\"] \n  5 -> 25 [size =\"6273024\"]\n  5 -> 29 [size =\"6273024\"]\n  5 -> 35 [size =\"6273024\"]\n  6 [size=\"170035200\", alpha=\"0.07\", expect_size=\"51010560\"] \n  6 -> 25 [size =\"51010560\"]\n  6 -> 27 [size =\"51010560\"]\n  6 -> 28 [size =\"51010560\"]\n  6 -> 30 [size =\"51010560\"]\n  6 -> 33 [size =\"51010560\"]\n  6 -> 35 [size =\"51010560\"]\n  7 [size=\"169314987\", alpha=\"0.03\", expect_size=\"50794496\"] \n  7 -> 25 [size =\"50794496\"]\n  7 -> 31 [size =\"50794496\"]\n  7 -> 35 [size =\"50794496\"]\n  8 [size=\"137618773\", alpha=\"0.01\", expect_size=\"41285632\"] \n  8 -> 25 [size =\"41285632\"]\n  8 -> 33 [size =\"41285632\"]\n  9 [size=\"32395947\", alpha=\"0.03\", expect_size=\"9718784\"] \n  9 -> 25 [size =\"9718784\"]\n  9 -> 26 [size =\"9718784\"]\n  10 [size=\"153528320\", alpha=\"0.06\", expect_size=\"46058496\"] \n  10 -> 24 [size =\"46058496\"]\n  10 -> 25 [size =\"46058496\"]\n  10 -> 31 [size =\"46058496\"]\n  10 -> 33 [size =\"46058496\"]\n  10 -> 35 [size =\"46058496\"]\n  11 [size=\"53114880\", alpha=\"0.11\", expect_size=\"15934464\"] \n  11 -> 23 [size =\"15934464\"]\n  11 -> 25 [size =\"15934464\"]\n  11 -> 31 [size =\"15934464\"]\n  11 -> 32 [size =\"15934464\"]\n  11 -> 33 [size =\"15934464\"]\n  11 -> 35 [size =\"15934464\"]\n  12 [size=\"35659093\", alpha=\"0.08\", expect_size=\"10697728\"] \n  12 -> 23 [size =\"10697728\"]\n  12 -> 25 [size =\"10697728\"]\n  12 -> 26 [size =\"10697728\"]\n  12 -> 30 [size =\"10697728\"]\n  12 -> 33 [size =\"10697728\"]\n  12 -> 35 [size =\"10697728\"]\n  13 [size=\"151811413\", alpha=\"0.19\", expect_size=\"45543424\"] \n  13 -> 30 [size =\"45543424\"]\n  14 [size=\"29982720\", alpha=\"0.14\", expect_size=\"8994816\"] \n  14 -> 25 [size =\"8994816\"]\n  14 -> 30 [size =\"8994816\"]\n  15 [size=\"120142507\", alpha=\"0.14\", expect_size=\"36042752\"] \n  15 -> 26 [size =\"36042752\"]\n  15 -> 27 [size =\"36042752\"]\n  15 -> 29 [size =\"36042752\"]\n  15 -> 33 [size =\"36042752\"]\n  15 -> 35 [size =\"36042752\"]\n  16 [size=\"163225600\", alpha=\"0.15\", expect_size=\"48967680\"] \n  16 -> 23 [size =\"48967680\"]\n  16 -> 27 [size =\"48967680\"]\n  16 -> 29 [size =\"48967680\"]\n  16 -> 30 [size =\"48967680\"]\n  16 -> 31 [size =\"48967680\"]\n  16 -> 33 [size =\"48967680\"]\n  17 [size=\"57586347\", alpha=\"0.01\", expect_size=\"17275904\"] \n  17 -> 24 [size =\"17275904\"]\n  17 -> 26 [size =\"17275904\"]\n  17 -> 27 [size =\"17275904\"]\n  17 -> 30 [size =\"17275904\"]\n  17 -> 33 [size =\"17275904\"]\n  18 [size=\"80029013\", alpha=\"0.05\", expect_size=\"24008704\"] \n  18 -> 25 [size =\"24008704\"]\n  18 -> 33 [size =\"24008704\"]\n  19 [size=\"85824853\", alpha=\"0.12\", expect_size=\"25747456\"] \n  19 -> 23 [size =\"25747456\"]\n  19 -> 24 [size =\"25747456\"]\n  19 -> 31 [size =\"25747456\"]\n  20 [size=\"107741867\", alpha=\"0.19\", expect_size=\"32322560\"] \n  20 -> 28 [size =\"32322560\"]\n  20 -> 35 [size =\"32322560\"]\n  21 [size=\"153504427\", alpha=\"0.13\", expect_size=\"46051328\"] \n  21 -> 30 [size =\"46051328\"]\n  22 [size=\"86097920\", alpha=\"0.05\", expect_size=\"25829376\"] \n  22 -> 23 [size =\"25829376\"]\n  22 -> 35 [size =\"25829376\"]\n  23 [size=\"145909760\", alpha=\"0.14\", expect_size=\"43772928\"] \n  24 [size=\"140960427\", alpha=\"0.09\", expect_size=\"42288128\"] \n  25 [size=\"96320853\", alpha=\"0.04\", expect_size=\"28896256\"] \n  26 [size=\"49281707\", alpha=\"0.19\", expect_size=\"14784512\"] \n  27 [size=\"164713813\", alpha=\"0.12\", expect_size=\"49414144\"] \n  28 [size=\"174021973\", alpha=\"0.01\", expect_size=\"52206592\"] \n  29 [size=\"55493973\", alpha=\"0.12\", expect_size=\"16648192\"] \n  30 [size=\"147828053\", alpha=\"0.01\", expect_size=\"44348416\"] \n  31 [size=\"139397120\", alpha=\"0.13\", expect_size=\"41819136\"] \n  32 [size=\"87197013\", alpha=\"0.09\", expect_size=\"26159104\"] \n  33 [size=\"125440000\", alpha=\"0.01\", expect_size=\"37632000\"] \n  34 [size=\"81513813\", alpha=\"0.15\", expect_size=\"24454144\"] \n  35 [size=\"152733013\", alpha=\"0.01\", expect_size=\"45819904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82542592\", alpha=\"0.02\", expect_size=\"41271296\"] \n  1 -> 6 [size =\"41271296\"]\n  1 -> 7 [size =\"41271296\"]\n  2 [size=\"15900672\", alpha=\"0.00\", expect_size=\"7950336\"] \n  2 -> 6 [size =\"7950336\"]\n  2 -> 8 [size =\"7950336\"]\n  3 [size=\"96606208\", alpha=\"0.10\", expect_size=\"48303104\"] \n  3 -> 5 [size =\"48303104\"]\n  3 -> 8 [size =\"48303104\"]\n  4 [size=\"51056640\", alpha=\"0.13\", expect_size=\"25528320\"] \n  4 -> 5 [size =\"25528320\"]\n  4 -> 7 [size =\"25528320\"]\n  5 [size=\"52619264\", alpha=\"0.00\", expect_size=\"26309632\"] \n  5 -> 9 [size =\"26309632\"]\n  5 -> 12 [size =\"26309632\"]\n  6 [size=\"25767936\", alpha=\"0.11\", expect_size=\"12883968\"] \n  6 -> 9 [size =\"12883968\"]\n  6 -> 10 [size =\"12883968\"]\n  6 -> 12 [size =\"12883968\"]\n  7 [size=\"81313792\", alpha=\"0.00\", expect_size=\"40656896\"] \n  7 -> 10 [size =\"40656896\"]\n  7 -> 11 [size =\"40656896\"]\n  8 [size=\"21280768\", alpha=\"0.04\", expect_size=\"10640384\"] \n  8 -> 11 [size =\"10640384\"]\n  9 [size=\"65878016\", alpha=\"0.10\", expect_size=\"32939008\"] \n  9 -> 13 [size =\"32939008\"]\n  9 -> 14 [size =\"32939008\"]\n  10 [size=\"94283776\", alpha=\"0.06\", expect_size=\"47141888\"] \n  10 -> 14 [size =\"47141888\"]\n  10 -> 16 [size =\"47141888\"]\n  11 [size=\"49068032\", alpha=\"0.01\", expect_size=\"24534016\"] \n  11 -> 15 [size =\"24534016\"]\n  11 -> 16 [size =\"24534016\"]\n  12 [size=\"57290752\", alpha=\"0.05\", expect_size=\"28645376\"] \n  12 -> 13 [size =\"28645376\"]\n  13 [size=\"58779648\", alpha=\"0.08\", expect_size=\"29389824\"] \n  13 -> 20 [size =\"29389824\"]\n  14 [size=\"12677120\", alpha=\"0.01\", expect_size=\"6338560\"] \n  14 -> 18 [size =\"6338560\"]\n  14 -> 19 [size =\"6338560\"]\n  15 [size=\"71725056\", alpha=\"0.03\", expect_size=\"35862528\"] \n  15 -> 18 [size =\"35862528\"]\n  16 [size=\"74065920\", alpha=\"0.13\", expect_size=\"37032960\"] \n  16 -> 17 [size =\"37032960\"]\n  17 [size=\"30349312\", alpha=\"0.10\", expect_size=\"15174656\"] \n  17 -> 22 [size =\"15174656\"]\n  17 -> 23 [size =\"15174656\"]\n  17 -> 24 [size =\"15174656\"]\n  18 [size=\"32174080\", alpha=\"0.14\", expect_size=\"16087040\"] \n  18 -> 21 [size =\"16087040\"]\n  18 -> 23 [size =\"16087040\"]\n  19 [size=\"52191232\", alpha=\"0.07\", expect_size=\"26095616\"] \n  20 [size=\"97024000\", alpha=\"0.00\", expect_size=\"48512000\"] \n  20 -> 21 [size =\"48512000\"]\n  20 -> 23 [size =\"48512000\"]\n  21 [size=\"31956992\", alpha=\"0.09\", expect_size=\"15978496\"] \n  21 -> 25 [size =\"15978496\"]\n  21 -> 26 [size =\"15978496\"]\n  22 [size=\"37898240\", alpha=\"0.19\", expect_size=\"18949120\"] \n  22 -> 27 [size =\"18949120\"]\n  22 -> 28 [size =\"18949120\"]\n  23 [size=\"61413376\", alpha=\"0.07\", expect_size=\"30706688\"] \n  23 -> 26 [size =\"30706688\"]\n  24 [size=\"98914304\", alpha=\"0.04\", expect_size=\"49457152\"] \n  24 -> 26 [size =\"49457152\"]\n  25 [size=\"104800256\", alpha=\"0.10\", expect_size=\"52400128\"] \n  25 -> 29 [size =\"52400128\"]\n  25 -> 30 [size =\"52400128\"]\n  26 [size=\"22302720\", alpha=\"0.19\", expect_size=\"11151360\"] \n  26 -> 33 [size =\"11151360\"]\n  27 [size=\"82608128\", alpha=\"0.03\", expect_size=\"41304064\"] \n  27 -> 33 [size =\"41304064\"]\n  28 [size=\"33931264\", alpha=\"0.09\", expect_size=\"16965632\"] \n  28 -> 31 [size =\"16965632\"]\n  28 -> 32 [size =\"16965632\"]\n  28 -> 33 [size =\"16965632\"]\n  29 [size=\"100106240\", alpha=\"0.07\", expect_size=\"50053120\"] \n  29 -> 34 [size =\"50053120\"]\n  30 [size=\"38113280\", alpha=\"0.03\", expect_size=\"19056640\"] \n  30 -> 34 [size =\"19056640\"]\n  30 -> 35 [size =\"19056640\"]\n  31 [size=\"40079360\", alpha=\"0.07\", expect_size=\"20039680\"] \n  32 [size=\"83689472\", alpha=\"0.01\", expect_size=\"41844736\"] \n  32 -> 34 [size =\"41844736\"]\n  33 [size=\"79984640\", alpha=\"0.05\", expect_size=\"39992320\"] \n  33 -> 35 [size =\"39992320\"]\n  34 [size=\"20717568\", alpha=\"0.10\", expect_size=\"10358784\"] \n  35 [size=\"40828928\", alpha=\"0.07\", expect_size=\"20414464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106327040\", alpha=\"0.19\", expect_size=\"42530816\"] \n  1 -> 2 [size =\"42530816\"]\n  2 [size=\"97451520\", alpha=\"0.17\", expect_size=\"38980608\"] \n  2 -> 3 [size =\"38980608\"]\n  3 [size=\"129379840\", alpha=\"0.05\", expect_size=\"51751936\"] \n  3 -> 4 [size =\"51751936\"]\n  4 [size=\"104491520\", alpha=\"0.11\", expect_size=\"41796608\"] \n  4 -> 5 [size =\"41796608\"]\n  5 [size=\"46771200\", alpha=\"0.18\", expect_size=\"18708480\"] \n  5 -> 6 [size =\"18708480\"]\n  6 [size=\"45352960\", alpha=\"0.19\", expect_size=\"18141184\"] \n  6 -> 7 [size =\"18141184\"]\n  7 [size=\"100613120\", alpha=\"0.01\", expect_size=\"40245248\"] \n  7 -> 8 [size =\"40245248\"]\n  8 [size=\"97216000\", alpha=\"0.04\", expect_size=\"38886400\"] \n  8 -> 9 [size =\"38886400\"]\n  9 [size=\"41725440\", alpha=\"0.11\", expect_size=\"16690176\"] \n  9 -> 10 [size =\"16690176\"]\n  10 [size=\"55659520\", alpha=\"0.09\", expect_size=\"22263808\"] \n  10 -> 11 [size =\"22263808\"]\n  11 [size=\"18265600\", alpha=\"0.02\", expect_size=\"7306240\"] \n  11 -> 12 [size =\"7306240\"]\n  12 [size=\"129223680\", alpha=\"0.08\", expect_size=\"51689472\"] \n  12 -> 13 [size =\"51689472\"]\n  13 [size=\"114242560\", alpha=\"0.02\", expect_size=\"45697024\"] \n  13 -> 14 [size =\"45697024\"]\n  14 [size=\"23687680\", alpha=\"0.16\", expect_size=\"9475072\"] \n  14 -> 15 [size =\"9475072\"]\n  15 [size=\"90129920\", alpha=\"0.01\", expect_size=\"36051968\"] \n  15 -> 16 [size =\"36051968\"]\n  16 [size=\"75773440\", alpha=\"0.10\", expect_size=\"30309376\"] \n  16 -> 17 [size =\"30309376\"]\n  17 [size=\"67696640\", alpha=\"0.16\", expect_size=\"27078656\"] \n  17 -> 18 [size =\"27078656\"]\n  18 [size=\"73640960\", alpha=\"0.20\", expect_size=\"29456384\"] \n  18 -> 19 [size =\"29456384\"]\n  19 [size=\"95918080\", alpha=\"0.07\", expect_size=\"38367232\"] \n  19 -> 20 [size =\"38367232\"]\n  20 [size=\"40619520\", alpha=\"0.07\", expect_size=\"16247808\"] \n  20 -> 21 [size =\"16247808\"]\n  21 [size=\"93724160\", alpha=\"0.03\", expect_size=\"37489664\"] \n  21 -> 22 [size =\"37489664\"]\n  22 [size=\"106721280\", alpha=\"0.14\", expect_size=\"42688512\"] \n  22 -> 23 [size =\"42688512\"]\n  23 [size=\"35960320\", alpha=\"0.04\", expect_size=\"14384128\"] \n  23 -> 24 [size =\"14384128\"]\n  24 [size=\"47610880\", alpha=\"0.10\", expect_size=\"19044352\"] \n  24 -> 25 [size =\"19044352\"]\n  25 [size=\"23280640\", alpha=\"0.01\", expect_size=\"9312256\"] \n  25 -> 26 [size =\"9312256\"]\n  26 [size=\"26306560\", alpha=\"0.18\", expect_size=\"10522624\"] \n  26 -> 27 [size =\"10522624\"]\n  27 [size=\"88163840\", alpha=\"0.09\", expect_size=\"35265536\"] \n  27 -> 28 [size =\"35265536\"]\n  28 [size=\"62922240\", alpha=\"0.15\", expect_size=\"25168896\"] \n  28 -> 29 [size =\"25168896\"]\n  29 [size=\"62832640\", alpha=\"0.06\", expect_size=\"25133056\"] \n  29 -> 30 [size =\"25133056\"]\n  30 [size=\"104611840\", alpha=\"0.04\", expect_size=\"41844736\"] \n  30 -> 31 [size =\"41844736\"]\n  31 [size=\"30174720\", alpha=\"0.03\", expect_size=\"12069888\"] \n  31 -> 32 [size =\"12069888\"]\n  32 [size=\"50711040\", alpha=\"0.01\", expect_size=\"20284416\"] \n  32 -> 33 [size =\"20284416\"]\n  33 [size=\"14638080\", alpha=\"0.17\", expect_size=\"5855232\"] \n  33 -> 34 [size =\"5855232\"]\n  34 [size=\"38225920\", alpha=\"0.14\", expect_size=\"15290368\"] \n  34 -> 35 [size =\"15290368\"]\n  35 [size=\"94896640\", alpha=\"0.05\", expect_size=\"37958656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111230293\", alpha=\"0.04\", expect_size=\"33369088\"] \n  1 -> 2 [size =\"33369088\"]\n  2 [size=\"34546347\", alpha=\"0.16\", expect_size=\"10363904\"] \n  2 -> 3 [size =\"10363904\"]\n  3 [size=\"158317227\", alpha=\"0.09\", expect_size=\"47495168\"] \n  3 -> 4 [size =\"47495168\"]\n  4 [size=\"62300160\", alpha=\"0.14\", expect_size=\"18690048\"] \n  4 -> 5 [size =\"18690048\"]\n  5 [size=\"41925973\", alpha=\"0.18\", expect_size=\"12577792\"] \n  5 -> 6 [size =\"12577792\"]\n  6 [size=\"168970240\", alpha=\"0.11\", expect_size=\"50691072\"] \n  6 -> 7 [size =\"50691072\"]\n  7 [size=\"69809493\", alpha=\"0.12\", expect_size=\"20942848\"] \n  7 -> 8 [size =\"20942848\"]\n  8 [size=\"136581120\", alpha=\"0.03\", expect_size=\"40974336\"] \n  8 -> 9 [size =\"40974336\"]\n  9 [size=\"90716160\", alpha=\"0.14\", expect_size=\"27214848\"] \n  9 -> 10 [size =\"27214848\"]\n  10 [size=\"171308373\", alpha=\"0.19\", expect_size=\"51392512\"] \n  10 -> 11 [size =\"51392512\"]\n  11 [size=\"47977813\", alpha=\"0.17\", expect_size=\"14393344\"] \n  11 -> 12 [size =\"14393344\"]\n  12 [size=\"78407680\", alpha=\"0.00\", expect_size=\"23522304\"] \n  12 -> 13 [size =\"23522304\"]\n  13 [size=\"45796693\", alpha=\"0.08\", expect_size=\"13739008\"] \n  13 -> 14 [size =\"13739008\"]\n  14 [size=\"116787200\", alpha=\"0.15\", expect_size=\"35036160\"] \n  14 -> 15 [size =\"35036160\"]\n  15 [size=\"69191680\", alpha=\"0.14\", expect_size=\"20757504\"] \n  15 -> 16 [size =\"20757504\"]\n  16 [size=\"52493653\", alpha=\"0.10\", expect_size=\"15748096\"] \n  16 -> 17 [size =\"15748096\"]\n  17 [size=\"138878293\", alpha=\"0.16\", expect_size=\"41663488\"] \n  17 -> 18 [size =\"41663488\"]\n  18 [size=\"79018667\", alpha=\"0.10\", expect_size=\"23705600\"] \n  18 -> 19 [size =\"23705600\"]\n  19 [size=\"100908373\", alpha=\"0.19\", expect_size=\"30272512\"] \n  19 -> 20 [size =\"30272512\"]\n  20 [size=\"53964800\", alpha=\"0.19\", expect_size=\"16189440\"] \n  20 -> 21 [size =\"16189440\"]\n  21 [size=\"44980907\", alpha=\"0.12\", expect_size=\"13494272\"] \n  21 -> 22 [size =\"13494272\"]\n  22 [size=\"23507627\", alpha=\"0.07\", expect_size=\"7052288\"] \n  22 -> 23 [size =\"7052288\"]\n  23 [size=\"26798080\", alpha=\"0.20\", expect_size=\"8039424\"] \n  23 -> 24 [size =\"8039424\"]\n  24 [size=\"90654720\", alpha=\"0.18\", expect_size=\"27196416\"] \n  24 -> 25 [size =\"27196416\"]\n  25 [size=\"53678080\", alpha=\"0.19\", expect_size=\"16103424\"] \n  25 -> 26 [size =\"16103424\"]\n  26 [size=\"161037653\", alpha=\"0.00\", expect_size=\"48311296\"] \n  26 -> 27 [size =\"48311296\"]\n  27 [size=\"83029333\", alpha=\"0.08\", expect_size=\"24908800\"] \n  27 -> 28 [size =\"24908800\"]\n  28 [size=\"54964907\", alpha=\"0.10\", expect_size=\"16489472\"] \n  28 -> 29 [size =\"16489472\"]\n  29 [size=\"133567147\", alpha=\"0.02\", expect_size=\"40070144\"] \n  29 -> 30 [size =\"40070144\"]\n  30 [size=\"123361280\", alpha=\"0.14\", expect_size=\"37008384\"] \n  30 -> 31 [size =\"37008384\"]\n  31 [size=\"118688427\", alpha=\"0.09\", expect_size=\"35606528\"] \n  31 -> 32 [size =\"35606528\"]\n  32 [size=\"56019627\", alpha=\"0.12\", expect_size=\"16805888\"] \n  32 -> 33 [size =\"16805888\"]\n  33 [size=\"109711360\", alpha=\"0.19\", expect_size=\"32913408\"] \n  33 -> 34 [size =\"32913408\"]\n  34 [size=\"106031787\", alpha=\"0.18\", expect_size=\"31809536\"] \n  34 -> 35 [size =\"31809536\"]\n  35 [size=\"89811627\", alpha=\"0.04\", expect_size=\"26943488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45021184\", alpha=\"0.14\", expect_size=\"22510592\"] \n  1 -> 13 [size =\"22510592\"]\n  2 [size=\"20320256\", alpha=\"0.15\", expect_size=\"10160128\"] \n  2 -> 11 [size =\"10160128\"]\n  2 -> 16 [size =\"10160128\"]\n  3 [size=\"86706176\", alpha=\"0.09\", expect_size=\"43353088\"] \n  3 -> 11 [size =\"43353088\"]\n  3 -> 17 [size =\"43353088\"]\n  4 [size=\"104388608\", alpha=\"0.03\", expect_size=\"52194304\"] \n  4 -> 13 [size =\"52194304\"]\n  4 -> 14 [size =\"52194304\"]\n  4 -> 16 [size =\"52194304\"]\n  4 -> 18 [size =\"52194304\"]\n  5 [size=\"79923200\", alpha=\"0.02\", expect_size=\"39961600\"] \n  5 -> 13 [size =\"39961600\"]\n  5 -> 19 [size =\"39961600\"]\n  5 -> 21 [size =\"39961600\"]\n  6 [size=\"70293504\", alpha=\"0.05\", expect_size=\"35146752\"] \n  6 -> 12 [size =\"35146752\"]\n  6 -> 13 [size =\"35146752\"]\n  6 -> 16 [size =\"35146752\"]\n  6 -> 18 [size =\"35146752\"]\n  7 [size=\"83888128\", alpha=\"0.01\", expect_size=\"41944064\"] \n  7 -> 12 [size =\"41944064\"]\n  7 -> 20 [size =\"41944064\"]\n  7 -> 21 [size =\"41944064\"]\n  8 [size=\"94109696\", alpha=\"0.08\", expect_size=\"47054848\"] \n  8 -> 12 [size =\"47054848\"]\n  8 -> 14 [size =\"47054848\"]\n  9 [size=\"95131648\", alpha=\"0.06\", expect_size=\"47565824\"] \n  9 -> 12 [size =\"47565824\"]\n  9 -> 15 [size =\"47565824\"]\n  9 -> 16 [size =\"47565824\"]\n  10 [size=\"97150976\", alpha=\"0.02\", expect_size=\"48575488\"] \n  10 -> 12 [size =\"48575488\"]\n  10 -> 17 [size =\"48575488\"]\n  11 [size=\"35301376\", alpha=\"0.14\", expect_size=\"17650688\"] \n  11 -> 22 [size =\"17650688\"]\n  11 -> 23 [size =\"17650688\"]\n  11 -> 24 [size =\"17650688\"]\n  11 -> 25 [size =\"17650688\"]\n  11 -> 26 [size =\"17650688\"]\n  11 -> 28 [size =\"17650688\"]\n  11 -> 29 [size =\"17650688\"]\n  11 -> 32 [size =\"17650688\"]\n  12 [size=\"101441536\", alpha=\"0.01\", expect_size=\"50720768\"] \n  12 -> 22 [size =\"50720768\"]\n  12 -> 25 [size =\"50720768\"]\n  12 -> 26 [size =\"50720768\"]\n  12 -> 28 [size =\"50720768\"]\n  12 -> 29 [size =\"50720768\"]\n  12 -> 33 [size =\"50720768\"]\n  13 [size=\"79759360\", alpha=\"0.13\", expect_size=\"39879680\"] \n  13 -> 23 [size =\"39879680\"]\n  13 -> 24 [size =\"39879680\"]\n  13 -> 28 [size =\"39879680\"]\n  14 [size=\"29140992\", alpha=\"0.12\", expect_size=\"14570496\"] \n  14 -> 22 [size =\"14570496\"]\n  14 -> 29 [size =\"14570496\"]\n  14 -> 30 [size =\"14570496\"]\n  14 -> 31 [size =\"14570496\"]\n  14 -> 32 [size =\"14570496\"]\n  14 -> 33 [size =\"14570496\"]\n  15 [size=\"45035520\", alpha=\"0.14\", expect_size=\"22517760\"] \n  15 -> 23 [size =\"22517760\"]\n  15 -> 30 [size =\"22517760\"]\n  15 -> 31 [size =\"22517760\"]\n  15 -> 32 [size =\"22517760\"]\n  16 [size=\"53254144\", alpha=\"0.15\", expect_size=\"26627072\"] \n  16 -> 22 [size =\"26627072\"]\n  16 -> 27 [size =\"26627072\"]\n  16 -> 28 [size =\"26627072\"]\n  16 -> 31 [size =\"26627072\"]\n  17 [size=\"78678016\", alpha=\"0.10\", expect_size=\"39339008\"] \n  17 -> 22 [size =\"39339008\"]\n  17 -> 27 [size =\"39339008\"]\n  17 -> 31 [size =\"39339008\"]\n  17 -> 32 [size =\"39339008\"]\n  18 [size=\"82132992\", alpha=\"0.06\", expect_size=\"41066496\"] \n  18 -> 26 [size =\"41066496\"]\n  18 -> 29 [size =\"41066496\"]\n  18 -> 33 [size =\"41066496\"]\n  19 [size=\"27394048\", alpha=\"0.03\", expect_size=\"13697024\"] \n  19 -> 27 [size =\"13697024\"]\n  19 -> 29 [size =\"13697024\"]\n  19 -> 31 [size =\"13697024\"]\n  19 -> 32 [size =\"13697024\"]\n  20 [size=\"56279040\", alpha=\"0.05\", expect_size=\"28139520\"] \n  20 -> 29 [size =\"28139520\"]\n  21 [size=\"65079296\", alpha=\"0.13\", expect_size=\"32539648\"] \n  21 -> 22 [size =\"32539648\"]\n  21 -> 25 [size =\"32539648\"]\n  21 -> 27 [size =\"32539648\"]\n  21 -> 31 [size =\"32539648\"]\n  21 -> 33 [size =\"32539648\"]\n  22 [size=\"38428672\", alpha=\"0.04\", expect_size=\"19214336\"] \n  22 -> 34 [size =\"19214336\"]\n  23 [size=\"44998656\", alpha=\"0.11\", expect_size=\"22499328\"] \n  24 [size=\"104071168\", alpha=\"0.18\", expect_size=\"52035584\"] \n  24 -> 34 [size =\"52035584\"]\n  25 [size=\"65269760\", alpha=\"0.19\", expect_size=\"32634880\"] \n  26 [size=\"35346432\", alpha=\"0.14\", expect_size=\"17673216\"] \n  27 [size=\"10745856\", alpha=\"0.03\", expect_size=\"5372928\"] \n  28 [size=\"56680448\", alpha=\"0.11\", expect_size=\"28340224\"] \n  28 -> 35 [size =\"28340224\"]\n  29 [size=\"82845696\", alpha=\"0.16\", expect_size=\"41422848\"] \n  30 [size=\"99262464\", alpha=\"0.20\", expect_size=\"49631232\"] \n  31 [size=\"27619328\", alpha=\"0.09\", expect_size=\"13809664\"] \n  32 [size=\"91199488\", alpha=\"0.17\", expect_size=\"45599744\"] \n  33 [size=\"16719872\", alpha=\"0.00\", expect_size=\"8359936\"] \n  34 [size=\"69144576\", alpha=\"0.07\", expect_size=\"34572288\"] \n  35 [size=\"59265024\", alpha=\"0.02\", expect_size=\"29632512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48005120\", alpha=\"0.15\", expect_size=\"24002560\"] \n  1 -> 23 [size =\"24002560\"]\n  1 -> 25 [size =\"24002560\"]\n  1 -> 26 [size =\"24002560\"]\n  1 -> 28 [size =\"24002560\"]\n  1 -> 29 [size =\"24002560\"]\n  1 -> 31 [size =\"24002560\"]\n  2 [size=\"17285120\", alpha=\"0.14\", expect_size=\"8642560\"] \n  2 -> 22 [size =\"8642560\"]\n  2 -> 23 [size =\"8642560\"]\n  2 -> 25 [size =\"8642560\"]\n  2 -> 26 [size =\"8642560\"]\n  2 -> 27 [size =\"8642560\"]\n  2 -> 28 [size =\"8642560\"]\n  2 -> 30 [size =\"8642560\"]\n  2 -> 32 [size =\"8642560\"]\n  3 [size=\"54847488\", alpha=\"0.17\", expect_size=\"27423744\"] \n  3 -> 21 [size =\"27423744\"]\n  3 -> 22 [size =\"27423744\"]\n  3 -> 23 [size =\"27423744\"]\n  3 -> 24 [size =\"27423744\"]\n  3 -> 26 [size =\"27423744\"]\n  3 -> 28 [size =\"27423744\"]\n  3 -> 31 [size =\"27423744\"]\n  3 -> 32 [size =\"27423744\"]\n  3 -> 34 [size =\"27423744\"]\n  3 -> 35 [size =\"27423744\"]\n  4 [size=\"47151104\", alpha=\"0.12\", expect_size=\"23575552\"] \n  4 -> 21 [size =\"23575552\"]\n  4 -> 22 [size =\"23575552\"]\n  4 -> 24 [size =\"23575552\"]\n  4 -> 26 [size =\"23575552\"]\n  4 -> 28 [size =\"23575552\"]\n  4 -> 28 [size =\"23575552\"]\n  4 -> 29 [size =\"23575552\"]\n  4 -> 35 [size =\"23575552\"]\n  5 [size=\"53516288\", alpha=\"0.12\", expect_size=\"26758144\"] \n  5 -> 22 [size =\"26758144\"]\n  5 -> 22 [size =\"26758144\"]\n  5 -> 24 [size =\"26758144\"]\n  5 -> 26 [size =\"26758144\"]\n  5 -> 28 [size =\"26758144\"]\n  5 -> 29 [size =\"26758144\"]\n  5 -> 29 [size =\"26758144\"]\n  5 -> 30 [size =\"26758144\"]\n  5 -> 33 [size =\"26758144\"]\n  5 -> 34 [size =\"26758144\"]\n  6 [size=\"23156736\", alpha=\"0.19\", expect_size=\"11578368\"] \n  6 -> 21 [size =\"11578368\"]\n  6 -> 24 [size =\"11578368\"]\n  6 -> 26 [size =\"11578368\"]\n  6 -> 27 [size =\"11578368\"]\n  6 -> 33 [size =\"11578368\"]\n  7 [size=\"30756864\", alpha=\"0.04\", expect_size=\"15378432\"] \n  7 -> 24 [size =\"15378432\"]\n  7 -> 24 [size =\"15378432\"]\n  7 -> 27 [size =\"15378432\"]\n  7 -> 29 [size =\"15378432\"]\n  7 -> 35 [size =\"15378432\"]\n  8 [size=\"11034624\", alpha=\"0.17\", expect_size=\"5517312\"] \n  8 -> 22 [size =\"5517312\"]\n  8 -> 24 [size =\"5517312\"]\n  8 -> 28 [size =\"5517312\"]\n  8 -> 29 [size =\"5517312\"]\n  8 -> 30 [size =\"5517312\"]\n  8 -> 31 [size =\"5517312\"]\n  8 -> 33 [size =\"5517312\"]\n  9 [size=\"79294464\", alpha=\"0.12\", expect_size=\"39647232\"] \n  9 -> 21 [size =\"39647232\"]\n  9 -> 22 [size =\"39647232\"]\n  9 -> 24 [size =\"39647232\"]\n  9 -> 26 [size =\"39647232\"]\n  9 -> 27 [size =\"39647232\"]\n  9 -> 28 [size =\"39647232\"]\n  9 -> 29 [size =\"39647232\"]\n  9 -> 30 [size =\"39647232\"]\n  10 [size=\"14911488\", alpha=\"0.17\", expect_size=\"7455744\"] \n  10 -> 21 [size =\"7455744\"]\n  10 -> 28 [size =\"7455744\"]\n  10 -> 30 [size =\"7455744\"]\n  11 [size=\"14952448\", alpha=\"0.07\", expect_size=\"7476224\"] \n  11 -> 22 [size =\"7476224\"]\n  11 -> 23 [size =\"7476224\"]\n  11 -> 24 [size =\"7476224\"]\n  11 -> 25 [size =\"7476224\"]\n  11 -> 26 [size =\"7476224\"]\n  11 -> 28 [size =\"7476224\"]\n  11 -> 31 [size =\"7476224\"]\n  12 [size=\"84684800\", alpha=\"0.05\", expect_size=\"42342400\"] \n  12 -> 21 [size =\"42342400\"]\n  12 -> 22 [size =\"42342400\"]\n  12 -> 23 [size =\"42342400\"]\n  12 -> 25 [size =\"42342400\"]\n  12 -> 28 [size =\"42342400\"]\n  12 -> 29 [size =\"42342400\"]\n  12 -> 30 [size =\"42342400\"]\n  12 -> 33 [size =\"42342400\"]\n  12 -> 35 [size =\"42342400\"]\n  13 [size=\"56383488\", alpha=\"0.04\", expect_size=\"28191744\"] \n  13 -> 21 [size =\"28191744\"]\n  13 -> 22 [size =\"28191744\"]\n  13 -> 23 [size =\"28191744\"]\n  13 -> 25 [size =\"28191744\"]\n  13 -> 29 [size =\"28191744\"]\n  14 [size=\"40681472\", alpha=\"0.10\", expect_size=\"20340736\"] \n  14 -> 22 [size =\"20340736\"]\n  14 -> 24 [size =\"20340736\"]\n  14 -> 26 [size =\"20340736\"]\n  14 -> 30 [size =\"20340736\"]\n  14 -> 31 [size =\"20340736\"]\n  14 -> 34 [size =\"20340736\"]\n  15 [size=\"97966080\", alpha=\"0.02\", expect_size=\"48983040\"] \n  15 -> 22 [size =\"48983040\"]\n  15 -> 25 [size =\"48983040\"]\n  15 -> 28 [size =\"48983040\"]\n  15 -> 30 [size =\"48983040\"]\n  16 [size=\"61081600\", alpha=\"0.01\", expect_size=\"30540800\"] \n  16 -> 24 [size =\"30540800\"]\n  16 -> 26 [size =\"30540800\"]\n  16 -> 30 [size =\"30540800\"]\n  16 -> 30 [size =\"30540800\"]\n  16 -> 35 [size =\"30540800\"]\n  17 [size=\"58216448\", alpha=\"0.19\", expect_size=\"29108224\"] \n  17 -> 30 [size =\"29108224\"]\n  17 -> 33 [size =\"29108224\"]\n  18 [size=\"76920832\", alpha=\"0.10\", expect_size=\"38460416\"] \n  18 -> 24 [size =\"38460416\"]\n  18 -> 25 [size =\"38460416\"]\n  18 -> 28 [size =\"38460416\"]\n  18 -> 30 [size =\"38460416\"]\n  18 -> 33 [size =\"38460416\"]\n  18 -> 34 [size =\"38460416\"]\n  19 [size=\"63948800\", alpha=\"0.16\", expect_size=\"31974400\"] \n  19 -> 24 [size =\"31974400\"]\n  19 -> 25 [size =\"31974400\"]\n  19 -> 27 [size =\"31974400\"]\n  19 -> 29 [size =\"31974400\"]\n  19 -> 30 [size =\"31974400\"]\n  20 [size=\"26531840\", alpha=\"0.18\", expect_size=\"13265920\"] \n  20 -> 21 [size =\"13265920\"]\n  20 -> 25 [size =\"13265920\"]\n  20 -> 26 [size =\"13265920\"]\n  20 -> 28 [size =\"13265920\"]\n  20 -> 29 [size =\"13265920\"]\n  20 -> 30 [size =\"13265920\"]\n  20 -> 33 [size =\"13265920\"]\n  21 [size=\"12003328\", alpha=\"0.07\", expect_size=\"6001664\"] \n  22 [size=\"43728896\", alpha=\"0.18\", expect_size=\"21864448\"] \n  23 [size=\"68777984\", alpha=\"0.18\", expect_size=\"34388992\"] \n  24 [size=\"88854528\", alpha=\"0.06\", expect_size=\"44427264\"] \n  25 [size=\"40558592\", alpha=\"0.03\", expect_size=\"20279296\"] \n  26 [size=\"48775168\", alpha=\"0.02\", expect_size=\"24387584\"] \n  27 [size=\"55762944\", alpha=\"0.06\", expect_size=\"27881472\"] \n  28 [size=\"52752384\", alpha=\"0.10\", expect_size=\"26376192\"] \n  29 [size=\"98357248\", alpha=\"0.09\", expect_size=\"49178624\"] \n  30 [size=\"81121280\", alpha=\"0.09\", expect_size=\"40560640\"] \n  31 [size=\"70076416\", alpha=\"0.09\", expect_size=\"35038208\"] \n  32 [size=\"102748160\", alpha=\"0.06\", expect_size=\"51374080\"] \n  33 [size=\"91564032\", alpha=\"0.12\", expect_size=\"45782016\"] \n  34 [size=\"80885760\", alpha=\"0.04\", expect_size=\"40442880\"] \n  35 [size=\"13006848\", alpha=\"0.15\", expect_size=\"6503424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104347648\", alpha=\"0.02\", expect_size=\"52173824\"] \n  2 [size=\"58052608\", alpha=\"0.06\", expect_size=\"29026304\"] \n  2 -> 35 [size =\"29026304\"]\n  3 [size=\"64260096\", alpha=\"0.07\", expect_size=\"32130048\"] \n  3 -> 35 [size =\"32130048\"]\n  4 [size=\"76470272\", alpha=\"0.14\", expect_size=\"38235136\"] \n  4 -> 35 [size =\"38235136\"]\n  5 [size=\"97675264\", alpha=\"0.09\", expect_size=\"48837632\"] \n  5 -> 35 [size =\"48837632\"]\n  6 [size=\"71350272\", alpha=\"0.05\", expect_size=\"35675136\"] \n  6 -> 35 [size =\"35675136\"]\n  7 [size=\"42446848\", alpha=\"0.02\", expect_size=\"21223424\"] \n  7 -> 35 [size =\"21223424\"]\n  8 [size=\"31586304\", alpha=\"0.06\", expect_size=\"15793152\"] \n  9 [size=\"21803008\", alpha=\"0.15\", expect_size=\"10901504\"] \n  10 [size=\"23767040\", alpha=\"0.14\", expect_size=\"11883520\"] \n  10 -> 35 [size =\"11883520\"]\n  11 [size=\"54007808\", alpha=\"0.07\", expect_size=\"27003904\"] \n  12 [size=\"63406080\", alpha=\"0.19\", expect_size=\"31703040\"] \n  12 -> 35 [size =\"31703040\"]\n  13 [size=\"89946112\", alpha=\"0.01\", expect_size=\"44973056\"] \n  13 -> 35 [size =\"44973056\"]\n  14 [size=\"27824128\", alpha=\"0.13\", expect_size=\"13912064\"] \n  14 -> 35 [size =\"13912064\"]\n  15 [size=\"93644800\", alpha=\"0.13\", expect_size=\"46822400\"] \n  15 -> 35 [size =\"46822400\"]\n  16 [size=\"42350592\", alpha=\"0.10\", expect_size=\"21175296\"] \n  16 -> 35 [size =\"21175296\"]\n  17 [size=\"68210688\", alpha=\"0.09\", expect_size=\"34105344\"] \n  18 [size=\"75790336\", alpha=\"0.18\", expect_size=\"37895168\"] \n  19 [size=\"103399424\", alpha=\"0.02\", expect_size=\"51699712\"] \n  20 [size=\"80158720\", alpha=\"0.17\", expect_size=\"40079360\"] \n  21 [size=\"52359168\", alpha=\"0.12\", expect_size=\"26179584\"] \n  22 [size=\"83173376\", alpha=\"0.17\", expect_size=\"41586688\"] \n  23 [size=\"80031744\", alpha=\"0.13\", expect_size=\"40015872\"] \n  24 [size=\"86632448\", alpha=\"0.04\", expect_size=\"43316224\"] \n  24 -> 35 [size =\"43316224\"]\n  25 [size=\"51900416\", alpha=\"0.12\", expect_size=\"25950208\"] \n  26 [size=\"17061888\", alpha=\"0.14\", expect_size=\"8530944\"] \n  27 [size=\"62486528\", alpha=\"0.03\", expect_size=\"31243264\"] \n  28 [size=\"11206656\", alpha=\"0.16\", expect_size=\"5603328\"] \n  29 [size=\"96014336\", alpha=\"0.11\", expect_size=\"48007168\"] \n  30 [size=\"104081408\", alpha=\"0.09\", expect_size=\"52040704\"] \n  31 [size=\"88776704\", alpha=\"0.17\", expect_size=\"44388352\"] \n  32 [size=\"49596416\", alpha=\"0.16\", expect_size=\"24798208\"] \n  32 -> 35 [size =\"24798208\"]\n  33 [size=\"34107392\", alpha=\"0.11\", expect_size=\"17053696\"] \n  34 [size=\"96086016\", alpha=\"0.10\", expect_size=\"48043008\"] \n  34 -> 35 [size =\"48043008\"]\n  35 [size=\"18401280\", alpha=\"0.07\", expect_size=\"9200640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111882240\", alpha=\"0.09\", expect_size=\"33564672\"] \n  1 -> 30 [size =\"33564672\"]\n  1 -> 31 [size =\"33564672\"]\n  1 -> 33 [size =\"33564672\"]\n  1 -> 34 [size =\"33564672\"]\n  2 [size=\"166229333\", alpha=\"0.17\", expect_size=\"49868800\"] \n  2 -> 31 [size =\"49868800\"]\n  2 -> 32 [size =\"49868800\"]\n  2 -> 33 [size =\"49868800\"]\n  2 -> 34 [size =\"49868800\"]\n  3 [size=\"45868373\", alpha=\"0.17\", expect_size=\"13760512\"] \n  3 -> 32 [size =\"13760512\"]\n  3 -> 33 [size =\"13760512\"]\n  3 -> 34 [size =\"13760512\"]\n  4 [size=\"20971520\", alpha=\"0.06\", expect_size=\"6291456\"] \n  4 -> 34 [size =\"6291456\"]\n  5 [size=\"159924907\", alpha=\"0.06\", expect_size=\"47977472\"] \n  5 -> 31 [size =\"47977472\"]\n  5 -> 33 [size =\"47977472\"]\n  5 -> 34 [size =\"47977472\"]\n  6 [size=\"123050667\", alpha=\"0.02\", expect_size=\"36915200\"] \n  6 -> 29 [size =\"36915200\"]\n  6 -> 32 [size =\"36915200\"]\n  6 -> 33 [size =\"36915200\"]\n  7 [size=\"92986027\", alpha=\"0.20\", expect_size=\"27895808\"] \n  7 -> 31 [size =\"27895808\"]\n  7 -> 35 [size =\"27895808\"]\n  8 [size=\"168669867\", alpha=\"0.05\", expect_size=\"50600960\"] \n  8 -> 32 [size =\"50600960\"]\n  8 -> 33 [size =\"50600960\"]\n  9 [size=\"101362347\", alpha=\"0.09\", expect_size=\"30408704\"] \n  9 -> 32 [size =\"30408704\"]\n  9 -> 34 [size =\"30408704\"]\n  10 [size=\"58439680\", alpha=\"0.02\", expect_size=\"17531904\"] \n  10 -> 29 [size =\"17531904\"]\n  10 -> 30 [size =\"17531904\"]\n  10 -> 31 [size =\"17531904\"]\n  10 -> 32 [size =\"17531904\"]\n  10 -> 33 [size =\"17531904\"]\n  11 [size=\"159808853\", alpha=\"0.17\", expect_size=\"47942656\"] \n  11 -> 30 [size =\"47942656\"]\n  11 -> 30 [size =\"47942656\"]\n  11 -> 31 [size =\"47942656\"]\n  11 -> 32 [size =\"47942656\"]\n  11 -> 33 [size =\"47942656\"]\n  12 [size=\"75690667\", alpha=\"0.05\", expect_size=\"22707200\"] \n  12 -> 30 [size =\"22707200\"]\n  12 -> 31 [size =\"22707200\"]\n  12 -> 32 [size =\"22707200\"]\n  12 -> 32 [size =\"22707200\"]\n  12 -> 33 [size =\"22707200\"]\n  12 -> 34 [size =\"22707200\"]\n  13 [size=\"55016107\", alpha=\"0.10\", expect_size=\"16504832\"] \n  13 -> 29 [size =\"16504832\"]\n  13 -> 30 [size =\"16504832\"]\n  13 -> 31 [size =\"16504832\"]\n  13 -> 32 [size =\"16504832\"]\n  14 [size=\"32631467\", alpha=\"0.17\", expect_size=\"9789440\"] \n  14 -> 30 [size =\"9789440\"]\n  14 -> 30 [size =\"9789440\"]\n  14 -> 31 [size =\"9789440\"]\n  14 -> 33 [size =\"9789440\"]\n  15 [size=\"79472640\", alpha=\"0.16\", expect_size=\"23841792\"] \n  15 -> 30 [size =\"23841792\"]\n  15 -> 31 [size =\"23841792\"]\n  15 -> 32 [size =\"23841792\"]\n  15 -> 33 [size =\"23841792\"]\n  15 -> 34 [size =\"23841792\"]\n  16 [size=\"129232213\", alpha=\"0.01\", expect_size=\"38769664\"] \n  16 -> 29 [size =\"38769664\"]\n  16 -> 30 [size =\"38769664\"]\n  16 -> 31 [size =\"38769664\"]\n  16 -> 33 [size =\"38769664\"]\n  16 -> 34 [size =\"38769664\"]\n  17 [size=\"144073387\", alpha=\"0.12\", expect_size=\"43222016\"] \n  17 -> 30 [size =\"43222016\"]\n  17 -> 30 [size =\"43222016\"]\n  17 -> 33 [size =\"43222016\"]\n  18 [size=\"141363200\", alpha=\"0.01\", expect_size=\"42408960\"] \n  18 -> 30 [size =\"42408960\"]\n  18 -> 33 [size =\"42408960\"]\n  19 [size=\"23132160\", alpha=\"0.02\", expect_size=\"6939648\"] \n  19 -> 30 [size =\"6939648\"]\n  20 [size=\"91787947\", alpha=\"0.02\", expect_size=\"27536384\"] \n  20 -> 31 [size =\"27536384\"]\n  20 -> 33 [size =\"27536384\"]\n  20 -> 34 [size =\"27536384\"]\n  21 [size=\"108417707\", alpha=\"0.14\", expect_size=\"32525312\"] \n  21 -> 31 [size =\"32525312\"]\n  21 -> 32 [size =\"32525312\"]\n  21 -> 33 [size =\"32525312\"]\n  21 -> 34 [size =\"32525312\"]\n  21 -> 35 [size =\"32525312\"]\n  22 [size=\"87685120\", alpha=\"0.05\", expect_size=\"26305536\"] \n  22 -> 30 [size =\"26305536\"]\n  22 -> 33 [size =\"26305536\"]\n  22 -> 34 [size =\"26305536\"]\n  23 [size=\"124170240\", alpha=\"0.19\", expect_size=\"37251072\"] \n  23 -> 30 [size =\"37251072\"]\n  23 -> 32 [size =\"37251072\"]\n  23 -> 35 [size =\"37251072\"]\n  24 [size=\"46554453\", alpha=\"0.14\", expect_size=\"13966336\"] \n  24 -> 30 [size =\"13966336\"]\n  24 -> 31 [size =\"13966336\"]\n  25 [size=\"26692267\", alpha=\"0.07\", expect_size=\"8007680\"] \n  25 -> 30 [size =\"8007680\"]\n  25 -> 35 [size =\"8007680\"]\n  26 [size=\"151736320\", alpha=\"0.13\", expect_size=\"45520896\"] \n  26 -> 30 [size =\"45520896\"]\n  26 -> 31 [size =\"45520896\"]\n  26 -> 32 [size =\"45520896\"]\n  26 -> 35 [size =\"45520896\"]\n  27 [size=\"157368320\", alpha=\"0.09\", expect_size=\"47210496\"] \n  27 -> 32 [size =\"47210496\"]\n  27 -> 33 [size =\"47210496\"]\n  28 [size=\"98249387\", alpha=\"0.04\", expect_size=\"29474816\"] \n  28 -> 29 [size =\"29474816\"]\n  28 -> 30 [size =\"29474816\"]\n  28 -> 31 [size =\"29474816\"]\n  28 -> 33 [size =\"29474816\"]\n  28 -> 34 [size =\"29474816\"]\n  29 [size=\"103082667\", alpha=\"0.10\", expect_size=\"30924800\"] \n  30 [size=\"121088000\", alpha=\"0.01\", expect_size=\"36326400\"] \n  31 [size=\"137673387\", alpha=\"0.10\", expect_size=\"41302016\"] \n  32 [size=\"89951573\", alpha=\"0.07\", expect_size=\"26985472\"] \n  33 [size=\"126685867\", alpha=\"0.08\", expect_size=\"38005760\"] \n  34 [size=\"118975147\", alpha=\"0.11\", expect_size=\"35692544\"] \n  35 [size=\"70321493\", alpha=\"0.02\", expect_size=\"21096448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90521600\", alpha=\"0.01\", expect_size=\"36208640\"] \n  1 -> 2 [size =\"36208640\"]\n  2 [size=\"22771200\", alpha=\"0.14\", expect_size=\"9108480\"] \n  2 -> 3 [size =\"9108480\"]\n  3 [size=\"102080000\", alpha=\"0.05\", expect_size=\"40832000\"] \n  3 -> 4 [size =\"40832000\"]\n  4 [size=\"112151040\", alpha=\"0.12\", expect_size=\"44860416\"] \n  4 -> 5 [size =\"44860416\"]\n  5 [size=\"99151360\", alpha=\"0.07\", expect_size=\"39660544\"] \n  5 -> 6 [size =\"39660544\"]\n  6 [size=\"30115840\", alpha=\"0.10\", expect_size=\"12046336\"] \n  6 -> 7 [size =\"12046336\"]\n  7 [size=\"111331840\", alpha=\"0.04\", expect_size=\"44532736\"] \n  7 -> 8 [size =\"44532736\"]\n  8 [size=\"42956800\", alpha=\"0.14\", expect_size=\"17182720\"] \n  8 -> 9 [size =\"17182720\"]\n  9 [size=\"14133760\", alpha=\"0.13\", expect_size=\"5653504\"] \n  9 -> 10 [size =\"5653504\"]\n  10 [size=\"109598720\", alpha=\"0.00\", expect_size=\"43839488\"] \n  10 -> 11 [size =\"43839488\"]\n  11 [size=\"66713600\", alpha=\"0.14\", expect_size=\"26685440\"] \n  11 -> 12 [size =\"26685440\"]\n  12 [size=\"71779840\", alpha=\"0.18\", expect_size=\"28711936\"] \n  12 -> 13 [size =\"28711936\"]\n  13 [size=\"37480960\", alpha=\"0.18\", expect_size=\"14992384\"] \n  13 -> 14 [size =\"14992384\"]\n  14 [size=\"68267520\", alpha=\"0.06\", expect_size=\"27307008\"] \n  14 -> 15 [size =\"27307008\"]\n  15 [size=\"21058560\", alpha=\"0.00\", expect_size=\"8423424\"] \n  15 -> 16 [size =\"8423424\"]\n  16 [size=\"64691200\", alpha=\"0.16\", expect_size=\"25876480\"] \n  16 -> 17 [size =\"25876480\"]\n  17 [size=\"122470400\", alpha=\"0.05\", expect_size=\"48988160\"] \n  17 -> 18 [size =\"48988160\"]\n  18 [size=\"26762240\", alpha=\"0.08\", expect_size=\"10704896\"] \n  18 -> 19 [size =\"10704896\"]\n  19 [size=\"110840320\", alpha=\"0.12\", expect_size=\"44336128\"] \n  19 -> 20 [size =\"44336128\"]\n  20 [size=\"67379200\", alpha=\"0.01\", expect_size=\"26951680\"] \n  20 -> 21 [size =\"26951680\"]\n  21 [size=\"67745280\", alpha=\"0.02\", expect_size=\"27098112\"] \n  21 -> 22 [size =\"27098112\"]\n  22 [size=\"34147840\", alpha=\"0.05\", expect_size=\"13659136\"] \n  22 -> 23 [size =\"13659136\"]\n  23 [size=\"21923840\", alpha=\"0.03\", expect_size=\"8769536\"] \n  23 -> 24 [size =\"8769536\"]\n  24 [size=\"126883840\", alpha=\"0.18\", expect_size=\"50753536\"] \n  24 -> 25 [size =\"50753536\"]\n  25 [size=\"45073920\", alpha=\"0.08\", expect_size=\"18029568\"] \n  25 -> 26 [size =\"18029568\"]\n  26 [size=\"47447040\", alpha=\"0.00\", expect_size=\"18978816\"] \n  26 -> 27 [size =\"18978816\"]\n  27 [size=\"26595840\", alpha=\"0.09\", expect_size=\"10638336\"] \n  27 -> 28 [size =\"10638336\"]\n  28 [size=\"53240320\", alpha=\"0.04\", expect_size=\"21296128\"] \n  28 -> 29 [size =\"21296128\"]\n  29 [size=\"101908480\", alpha=\"0.18\", expect_size=\"40763392\"] \n  29 -> 30 [size =\"40763392\"]\n  30 [size=\"57658880\", alpha=\"0.09\", expect_size=\"23063552\"] \n  30 -> 31 [size =\"23063552\"]\n  31 [size=\"62423040\", alpha=\"0.08\", expect_size=\"24969216\"] \n  31 -> 32 [size =\"24969216\"]\n  32 [size=\"75653120\", alpha=\"0.18\", expect_size=\"30261248\"] \n  32 -> 33 [size =\"30261248\"]\n  33 [size=\"107013120\", alpha=\"0.12\", expect_size=\"42805248\"] \n  33 -> 34 [size =\"42805248\"]\n  34 [size=\"127513600\", alpha=\"0.15\", expect_size=\"51005440\"] \n  34 -> 35 [size =\"51005440\"]\n  35 [size=\"118233600\", alpha=\"0.20\", expect_size=\"47293440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115589120\", alpha=\"0.09\", expect_size=\"46235648\"] \n  2 [size=\"69614080\", alpha=\"0.08\", expect_size=\"27845632\"] \n  2 -> 3 [size =\"27845632\"]\n  3 [size=\"99089920\", alpha=\"0.18\", expect_size=\"39635968\"] \n  3 -> 4 [size =\"39635968\"]\n  4 [size=\"123584000\", alpha=\"0.14\", expect_size=\"49433600\"] \n  4 -> 5 [size =\"49433600\"]\n  4 -> 6 [size =\"49433600\"]\n  5 [size=\"51650560\", alpha=\"0.04\", expect_size=\"20660224\"] \n  5 -> 8 [size =\"20660224\"]\n  6 [size=\"86466560\", alpha=\"0.11\", expect_size=\"34586624\"] \n  6 -> 7 [size =\"34586624\"]\n  7 [size=\"68848640\", alpha=\"0.09\", expect_size=\"27539456\"] \n  8 [size=\"115417600\", alpha=\"0.03\", expect_size=\"46167040\"] \n  8 -> 9 [size =\"46167040\"]\n  9 [size=\"21885440\", alpha=\"0.01\", expect_size=\"8754176\"] \n  9 -> 10 [size =\"8754176\"]\n  10 [size=\"37680640\", alpha=\"0.19\", expect_size=\"15072256\"] \n  10 -> 11 [size =\"15072256\"]\n  11 [size=\"121981440\", alpha=\"0.04\", expect_size=\"48792576\"] \n  11 -> 12 [size =\"48792576\"]\n  12 [size=\"59031040\", alpha=\"0.16\", expect_size=\"23612416\"] \n  12 -> 13 [size =\"23612416\"]\n  13 [size=\"106731520\", alpha=\"0.07\", expect_size=\"42692608\"] \n  13 -> 14 [size =\"42692608\"]\n  14 [size=\"92349440\", alpha=\"0.15\", expect_size=\"36939776\"] \n  14 -> 15 [size =\"36939776\"]\n  14 -> 16 [size =\"36939776\"]\n  15 [size=\"58711040\", alpha=\"0.05\", expect_size=\"23484416\"] \n  16 [size=\"79639040\", alpha=\"0.04\", expect_size=\"31855616\"] \n  16 -> 17 [size =\"31855616\"]\n  17 [size=\"27548160\", alpha=\"0.06\", expect_size=\"11019264\"] \n  17 -> 18 [size =\"11019264\"]\n  17 -> 19 [size =\"11019264\"]\n  18 [size=\"82355200\", alpha=\"0.06\", expect_size=\"32942080\"] \n  18 -> 20 [size =\"32942080\"]\n  19 [size=\"99991040\", alpha=\"0.17\", expect_size=\"39996416\"] \n  20 [size=\"108638720\", alpha=\"0.13\", expect_size=\"43455488\"] \n  20 -> 21 [size =\"43455488\"]\n  20 -> 22 [size =\"43455488\"]\n  21 [size=\"104857600\", alpha=\"0.06\", expect_size=\"41943040\"] \n  21 -> 23 [size =\"41943040\"]\n  22 [size=\"126277120\", alpha=\"0.09\", expect_size=\"50510848\"] \n  22 -> 24 [size =\"50510848\"]\n  23 [size=\"103887360\", alpha=\"0.06\", expect_size=\"41554944\"] \n  24 [size=\"24286720\", alpha=\"0.02\", expect_size=\"9714688\"] \n  24 -> 25 [size =\"9714688\"]\n  25 [size=\"111961600\", alpha=\"0.05\", expect_size=\"44784640\"] \n  25 -> 26 [size =\"44784640\"]\n  25 -> 27 [size =\"44784640\"]\n  26 [size=\"23188480\", alpha=\"0.20\", expect_size=\"9275392\"] \n  27 [size=\"46315520\", alpha=\"0.04\", expect_size=\"18526208\"] \n  27 -> 28 [size =\"18526208\"]\n  27 -> 29 [size =\"18526208\"]\n  28 [size=\"83486720\", alpha=\"0.06\", expect_size=\"33394688\"] \n  29 [size=\"115996160\", alpha=\"0.09\", expect_size=\"46398464\"] \n  29 -> 30 [size =\"46398464\"]\n  30 [size=\"100037120\", alpha=\"0.17\", expect_size=\"40014848\"] \n  30 -> 31 [size =\"40014848\"]\n  31 [size=\"59069440\", alpha=\"0.03\", expect_size=\"23627776\"] \n  31 -> 32 [size =\"23627776\"]\n  31 -> 33 [size =\"23627776\"]\n  32 [size=\"95572480\", alpha=\"0.16\", expect_size=\"38228992\"] \n  32 -> 34 [size =\"38228992\"]\n  32 -> 35 [size =\"38228992\"]\n  33 [size=\"30128640\", alpha=\"0.06\", expect_size=\"12051456\"] \n  34 [size=\"66685440\", alpha=\"0.09\", expect_size=\"26674176\"] \n  35 [size=\"79792640\", alpha=\"0.20\", expect_size=\"31917056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21110784\", alpha=\"0.03\", expect_size=\"10555392\"] \n  1 -> 5 [size =\"10555392\"]\n  1 -> 5 [size =\"10555392\"]\n  1 -> 6 [size =\"10555392\"]\n  1 -> 7 [size =\"10555392\"]\n  2 [size=\"55009280\", alpha=\"0.17\", expect_size=\"27504640\"] \n  2 -> 7 [size =\"27504640\"]\n  3 [size=\"34949120\", alpha=\"0.15\", expect_size=\"17474560\"] \n  3 -> 4 [size =\"17474560\"]\n  3 -> 5 [size =\"17474560\"]\n  4 [size=\"58935296\", alpha=\"0.15\", expect_size=\"29467648\"] \n  4 -> 8 [size =\"29467648\"]\n  4 -> 9 [size =\"29467648\"]\n  4 -> 10 [size =\"29467648\"]\n  4 -> 11 [size =\"29467648\"]\n  5 [size=\"39299072\", alpha=\"0.09\", expect_size=\"19649536\"] \n  5 -> 8 [size =\"19649536\"]\n  5 -> 9 [size =\"19649536\"]\n  5 -> 10 [size =\"19649536\"]\n  6 [size=\"88391680\", alpha=\"0.18\", expect_size=\"44195840\"] \n  7 [size=\"92301312\", alpha=\"0.00\", expect_size=\"46150656\"] \n  7 -> 9 [size =\"46150656\"]\n  8 [size=\"100796416\", alpha=\"0.06\", expect_size=\"50398208\"] \n  8 -> 13 [size =\"50398208\"]\n  9 [size=\"35842048\", alpha=\"0.00\", expect_size=\"17921024\"] \n  9 -> 12 [size =\"17921024\"]\n  9 -> 13 [size =\"17921024\"]\n  9 -> 14 [size =\"17921024\"]\n  10 [size=\"67006464\", alpha=\"0.01\", expect_size=\"33503232\"] \n  10 -> 12 [size =\"33503232\"]\n  10 -> 13 [size =\"33503232\"]\n  11 [size=\"10764288\", alpha=\"0.09\", expect_size=\"5382144\"] \n  11 -> 12 [size =\"5382144\"]\n  11 -> 13 [size =\"5382144\"]\n  12 [size=\"26974208\", alpha=\"0.19\", expect_size=\"13487104\"] \n  12 -> 15 [size =\"13487104\"]\n  12 -> 16 [size =\"13487104\"]\n  12 -> 18 [size =\"13487104\"]\n  13 [size=\"15138816\", alpha=\"0.00\", expect_size=\"7569408\"] \n  13 -> 15 [size =\"7569408\"]\n  13 -> 16 [size =\"7569408\"]\n  14 [size=\"84158464\", alpha=\"0.15\", expect_size=\"42079232\"] \n  14 -> 15 [size =\"42079232\"]\n  14 -> 16 [size =\"42079232\"]\n  14 -> 17 [size =\"42079232\"]\n  14 -> 19 [size =\"42079232\"]\n  15 [size=\"62758912\", alpha=\"0.11\", expect_size=\"31379456\"] \n  15 -> 20 [size =\"31379456\"]\n  15 -> 21 [size =\"31379456\"]\n  15 -> 23 [size =\"31379456\"]\n  16 [size=\"10870784\", alpha=\"0.14\", expect_size=\"5435392\"] \n  16 -> 20 [size =\"5435392\"]\n  16 -> 22 [size =\"5435392\"]\n  16 -> 23 [size =\"5435392\"]\n  17 [size=\"93696000\", alpha=\"0.11\", expect_size=\"46848000\"] \n  17 -> 20 [size =\"46848000\"]\n  17 -> 21 [size =\"46848000\"]\n  17 -> 22 [size =\"46848000\"]\n  17 -> 23 [size =\"46848000\"]\n  18 [size=\"95760384\", alpha=\"0.09\", expect_size=\"47880192\"] \n  18 -> 20 [size =\"47880192\"]\n  18 -> 22 [size =\"47880192\"]\n  18 -> 23 [size =\"47880192\"]\n  19 [size=\"31545344\", alpha=\"0.08\", expect_size=\"15772672\"] \n  19 -> 21 [size =\"15772672\"]\n  19 -> 22 [size =\"15772672\"]\n  19 -> 23 [size =\"15772672\"]\n  20 [size=\"33599488\", alpha=\"0.03\", expect_size=\"16799744\"] \n  20 -> 25 [size =\"16799744\"]\n  20 -> 27 [size =\"16799744\"]\n  20 -> 28 [size =\"16799744\"]\n  21 [size=\"40331264\", alpha=\"0.00\", expect_size=\"20165632\"] \n  21 -> 24 [size =\"20165632\"]\n  21 -> 25 [size =\"20165632\"]\n  21 -> 27 [size =\"20165632\"]\n  21 -> 28 [size =\"20165632\"]\n  22 [size=\"84477952\", alpha=\"0.07\", expect_size=\"42238976\"] \n  22 -> 24 [size =\"42238976\"]\n  22 -> 25 [size =\"42238976\"]\n  22 -> 26 [size =\"42238976\"]\n  22 -> 27 [size =\"42238976\"]\n  22 -> 28 [size =\"42238976\"]\n  23 [size=\"81981440\", alpha=\"0.19\", expect_size=\"40990720\"] \n  23 -> 24 [size =\"40990720\"]\n  23 -> 25 [size =\"40990720\"]\n  23 -> 26 [size =\"40990720\"]\n  23 -> 27 [size =\"40990720\"]\n  23 -> 28 [size =\"40990720\"]\n  24 [size=\"83597312\", alpha=\"0.02\", expect_size=\"41798656\"] \n  24 -> 29 [size =\"41798656\"]\n  24 -> 30 [size =\"41798656\"]\n  25 [size=\"60903424\", alpha=\"0.10\", expect_size=\"30451712\"] \n  25 -> 29 [size =\"30451712\"]\n  25 -> 30 [size =\"30451712\"]\n  26 [size=\"18825216\", alpha=\"0.15\", expect_size=\"9412608\"] \n  26 -> 29 [size =\"9412608\"]\n  27 [size=\"86771712\", alpha=\"0.17\", expect_size=\"43385856\"] \n  27 -> 29 [size =\"43385856\"]\n  27 -> 31 [size =\"43385856\"]\n  28 [size=\"42098688\", alpha=\"0.19\", expect_size=\"21049344\"] \n  28 -> 29 [size =\"21049344\"]\n  28 -> 31 [size =\"21049344\"]\n  29 [size=\"83200000\", alpha=\"0.05\", expect_size=\"41600000\"] \n  29 -> 32 [size =\"41600000\"]\n  29 -> 33 [size =\"41600000\"]\n  30 [size=\"25329664\", alpha=\"0.04\", expect_size=\"12664832\"] \n  30 -> 32 [size =\"12664832\"]\n  30 -> 34 [size =\"12664832\"]\n  31 [size=\"39036928\", alpha=\"0.03\", expect_size=\"19518464\"] \n  31 -> 32 [size =\"19518464\"]\n  31 -> 33 [size =\"19518464\"]\n  31 -> 34 [size =\"19518464\"]\n  31 -> 35 [size =\"19518464\"]\n  32 [size=\"40577024\", alpha=\"0.05\", expect_size=\"20288512\"] \n  33 [size=\"74473472\", alpha=\"0.09\", expect_size=\"37236736\"] \n  34 [size=\"70817792\", alpha=\"0.07\", expect_size=\"35408896\"] \n  35 [size=\"78061568\", alpha=\"0.17\", expect_size=\"39030784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124753920\", alpha=\"0.05\", expect_size=\"37426176\"] \n  1 -> 14 [size =\"37426176\"]\n  1 -> 17 [size =\"37426176\"]\n  1 -> 19 [size =\"37426176\"]\n  1 -> 22 [size =\"37426176\"]\n  2 [size=\"21978453\", alpha=\"0.10\", expect_size=\"6593536\"] \n  2 -> 13 [size =\"6593536\"]\n  2 -> 14 [size =\"6593536\"]\n  2 -> 22 [size =\"6593536\"]\n  2 -> 22 [size =\"6593536\"]\n  3 [size=\"140342613\", alpha=\"0.20\", expect_size=\"42102784\"] \n  3 -> 16 [size =\"42102784\"]\n  3 -> 18 [size =\"42102784\"]\n  3 -> 20 [size =\"42102784\"]\n  3 -> 23 [size =\"42102784\"]\n  4 [size=\"60494507\", alpha=\"0.07\", expect_size=\"18148352\"] \n  4 -> 18 [size =\"18148352\"]\n  4 -> 20 [size =\"18148352\"]\n  4 -> 23 [size =\"18148352\"]\n  5 [size=\"124030293\", alpha=\"0.05\", expect_size=\"37209088\"] \n  5 -> 17 [size =\"37209088\"]\n  5 -> 20 [size =\"37209088\"]\n  6 [size=\"158836053\", alpha=\"0.08\", expect_size=\"47650816\"] \n  6 -> 12 [size =\"47650816\"]\n  6 -> 14 [size =\"47650816\"]\n  6 -> 16 [size =\"47650816\"]\n  6 -> 17 [size =\"47650816\"]\n  6 -> 20 [size =\"47650816\"]\n  6 -> 21 [size =\"47650816\"]\n  6 -> 22 [size =\"47650816\"]\n  7 [size=\"82387627\", alpha=\"0.04\", expect_size=\"24716288\"] \n  7 -> 14 [size =\"24716288\"]\n  7 -> 15 [size =\"24716288\"]\n  7 -> 16 [size =\"24716288\"]\n  7 -> 19 [size =\"24716288\"]\n  7 -> 20 [size =\"24716288\"]\n  7 -> 22 [size =\"24716288\"]\n  8 [size=\"140735147\", alpha=\"0.06\", expect_size=\"42220544\"] \n  8 -> 17 [size =\"42220544\"]\n  9 [size=\"136536747\", alpha=\"0.13\", expect_size=\"40961024\"] \n  9 -> 12 [size =\"40961024\"]\n  9 -> 14 [size =\"40961024\"]\n  9 -> 17 [size =\"40961024\"]\n  9 -> 21 [size =\"40961024\"]\n  9 -> 22 [size =\"40961024\"]\n  9 -> 23 [size =\"40961024\"]\n  10 [size=\"125719893\", alpha=\"0.06\", expect_size=\"37715968\"] \n  10 -> 12 [size =\"37715968\"]\n  10 -> 14 [size =\"37715968\"]\n  10 -> 17 [size =\"37715968\"]\n  10 -> 18 [size =\"37715968\"]\n  11 [size=\"112704853\", alpha=\"0.17\", expect_size=\"33811456\"] \n  11 -> 12 [size =\"33811456\"]\n  11 -> 13 [size =\"33811456\"]\n  11 -> 14 [size =\"33811456\"]\n  11 -> 17 [size =\"33811456\"]\n  11 -> 18 [size =\"33811456\"]\n  11 -> 20 [size =\"33811456\"]\n  11 -> 21 [size =\"33811456\"]\n  11 -> 22 [size =\"33811456\"]\n  12 [size=\"155531947\", alpha=\"0.10\", expect_size=\"46659584\"] \n  12 -> 25 [size =\"46659584\"]\n  12 -> 26 [size =\"46659584\"]\n  12 -> 27 [size =\"46659584\"]\n  12 -> 28 [size =\"46659584\"]\n  12 -> 33 [size =\"46659584\"]\n  13 [size=\"79353173\", alpha=\"0.18\", expect_size=\"23805952\"] \n  13 -> 27 [size =\"23805952\"]\n  13 -> 28 [size =\"23805952\"]\n  13 -> 30 [size =\"23805952\"]\n  13 -> 31 [size =\"23805952\"]\n  13 -> 33 [size =\"23805952\"]\n  14 [size=\"78807040\", alpha=\"0.00\", expect_size=\"23642112\"] \n  14 -> 24 [size =\"23642112\"]\n  14 -> 30 [size =\"23642112\"]\n  14 -> 30 [size =\"23642112\"]\n  14 -> 31 [size =\"23642112\"]\n  15 [size=\"135290880\", alpha=\"0.09\", expect_size=\"40587264\"] \n  15 -> 28 [size =\"40587264\"]\n  15 -> 31 [size =\"40587264\"]\n  16 [size=\"19159040\", alpha=\"0.10\", expect_size=\"5747712\"] \n  16 -> 25 [size =\"5747712\"]\n  16 -> 27 [size =\"5747712\"]\n  16 -> 29 [size =\"5747712\"]\n  16 -> 31 [size =\"5747712\"]\n  16 -> 32 [size =\"5747712\"]\n  17 [size=\"85265067\", alpha=\"0.04\", expect_size=\"25579520\"] \n  17 -> 25 [size =\"25579520\"]\n  17 -> 26 [size =\"25579520\"]\n  17 -> 27 [size =\"25579520\"]\n  17 -> 29 [size =\"25579520\"]\n  17 -> 30 [size =\"25579520\"]\n  17 -> 33 [size =\"25579520\"]\n  17 -> 34 [size =\"25579520\"]\n  18 [size=\"115991893\", alpha=\"0.06\", expect_size=\"34797568\"] \n  18 -> 25 [size =\"34797568\"]\n  18 -> 30 [size =\"34797568\"]\n  18 -> 31 [size =\"34797568\"]\n  19 [size=\"163310933\", alpha=\"0.06\", expect_size=\"48993280\"] \n  19 -> 25 [size =\"48993280\"]\n  19 -> 26 [size =\"48993280\"]\n  19 -> 27 [size =\"48993280\"]\n  19 -> 33 [size =\"48993280\"]\n  19 -> 35 [size =\"48993280\"]\n  20 [size=\"108898987\", alpha=\"0.12\", expect_size=\"32669696\"] \n  20 -> 26 [size =\"32669696\"]\n  20 -> 27 [size =\"32669696\"]\n  20 -> 30 [size =\"32669696\"]\n  20 -> 32 [size =\"32669696\"]\n  20 -> 33 [size =\"32669696\"]\n  21 [size=\"152753493\", alpha=\"0.12\", expect_size=\"45826048\"] \n  21 -> 25 [size =\"45826048\"]\n  21 -> 30 [size =\"45826048\"]\n  22 [size=\"129177600\", alpha=\"0.13\", expect_size=\"38753280\"] \n  22 -> 25 [size =\"38753280\"]\n  22 -> 26 [size =\"38753280\"]\n  22 -> 27 [size =\"38753280\"]\n  22 -> 30 [size =\"38753280\"]\n  23 [size=\"49097387\", alpha=\"0.09\", expect_size=\"14729216\"] \n  23 -> 25 [size =\"14729216\"]\n  23 -> 27 [size =\"14729216\"]\n  23 -> 33 [size =\"14729216\"]\n  24 [size=\"34542933\", alpha=\"0.10\", expect_size=\"10362880\"] \n  25 [size=\"37379413\", alpha=\"0.05\", expect_size=\"11213824\"] \n  26 [size=\"104400213\", alpha=\"0.19\", expect_size=\"31320064\"] \n  27 [size=\"24743253\", alpha=\"0.20\", expect_size=\"7422976\"] \n  28 [size=\"55415467\", alpha=\"0.17\", expect_size=\"16624640\"] \n  29 [size=\"105854293\", alpha=\"0.09\", expect_size=\"31756288\"] \n  30 [size=\"155136000\", alpha=\"0.15\", expect_size=\"46540800\"] \n  31 [size=\"96098987\", alpha=\"0.13\", expect_size=\"28829696\"] \n  32 [size=\"36024320\", alpha=\"0.08\", expect_size=\"10807296\"] \n  33 [size=\"136700587\", alpha=\"0.12\", expect_size=\"41010176\"] \n  34 [size=\"49138347\", alpha=\"0.03\", expect_size=\"14741504\"] \n  35 [size=\"130932053\", alpha=\"0.09\", expect_size=\"39279616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45144747\", alpha=\"0.06\", expect_size=\"13543424\"] \n  1 -> 2 [size =\"13543424\"]\n  2 [size=\"160225280\", alpha=\"0.15\", expect_size=\"48067584\"] \n  2 -> 3 [size =\"48067584\"]\n  3 [size=\"71639040\", alpha=\"0.07\", expect_size=\"21491712\"] \n  3 -> 4 [size =\"21491712\"]\n  4 [size=\"26951680\", alpha=\"0.19\", expect_size=\"8085504\"] \n  4 -> 5 [size =\"8085504\"]\n  5 [size=\"70010880\", alpha=\"0.05\", expect_size=\"21003264\"] \n  5 -> 6 [size =\"21003264\"]\n  6 [size=\"53408427\", alpha=\"0.05\", expect_size=\"16022528\"] \n  6 -> 7 [size =\"16022528\"]\n  7 [size=\"149606400\", alpha=\"0.00\", expect_size=\"44881920\"] \n  7 -> 8 [size =\"44881920\"]\n  8 [size=\"163795627\", alpha=\"0.13\", expect_size=\"49138688\"] \n  8 -> 9 [size =\"49138688\"]\n  9 [size=\"35679573\", alpha=\"0.02\", expect_size=\"10703872\"] \n  9 -> 10 [size =\"10703872\"]\n  10 [size=\"70768640\", alpha=\"0.11\", expect_size=\"21230592\"] \n  10 -> 11 [size =\"21230592\"]\n  11 [size=\"78322347\", alpha=\"0.05\", expect_size=\"23496704\"] \n  11 -> 12 [size =\"23496704\"]\n  12 [size=\"125818880\", alpha=\"0.11\", expect_size=\"37745664\"] \n  12 -> 13 [size =\"37745664\"]\n  13 [size=\"87507627\", alpha=\"0.03\", expect_size=\"26252288\"] \n  13 -> 14 [size =\"26252288\"]\n  14 [size=\"140554240\", alpha=\"0.02\", expect_size=\"42166272\"] \n  14 -> 15 [size =\"42166272\"]\n  15 [size=\"131054933\", alpha=\"0.08\", expect_size=\"39316480\"] \n  15 -> 16 [size =\"39316480\"]\n  16 [size=\"167458133\", alpha=\"0.14\", expect_size=\"50237440\"] \n  16 -> 17 [size =\"50237440\"]\n  17 [size=\"51135147\", alpha=\"0.19\", expect_size=\"15340544\"] \n  17 -> 18 [size =\"15340544\"]\n  18 [size=\"53087573\", alpha=\"0.19\", expect_size=\"15926272\"] \n  18 -> 19 [size =\"15926272\"]\n  19 [size=\"158610773\", alpha=\"0.15\", expect_size=\"47583232\"] \n  19 -> 20 [size =\"47583232\"]\n  20 [size=\"17544533\", alpha=\"0.15\", expect_size=\"5263360\"] \n  20 -> 21 [size =\"5263360\"]\n  21 [size=\"105530027\", alpha=\"0.19\", expect_size=\"31659008\"] \n  21 -> 22 [size =\"31659008\"]\n  22 [size=\"141902507\", alpha=\"0.00\", expect_size=\"42570752\"] \n  22 -> 23 [size =\"42570752\"]\n  23 [size=\"68212053\", alpha=\"0.09\", expect_size=\"20463616\"] \n  23 -> 24 [size =\"20463616\"]\n  24 [size=\"92412587\", alpha=\"0.19\", expect_size=\"27723776\"] \n  24 -> 25 [size =\"27723776\"]\n  25 [size=\"111373653\", alpha=\"0.16\", expect_size=\"33412096\"] \n  25 -> 26 [size =\"33412096\"]\n  26 [size=\"171059200\", alpha=\"0.17\", expect_size=\"51317760\"] \n  26 -> 27 [size =\"51317760\"]\n  27 [size=\"124753920\", alpha=\"0.15\", expect_size=\"37426176\"] \n  27 -> 28 [size =\"37426176\"]\n  28 [size=\"120306347\", alpha=\"0.12\", expect_size=\"36091904\"] \n  28 -> 29 [size =\"36091904\"]\n  29 [size=\"114131627\", alpha=\"0.11\", expect_size=\"34239488\"] \n  29 -> 30 [size =\"34239488\"]\n  30 [size=\"72359253\", alpha=\"0.16\", expect_size=\"21707776\"] \n  30 -> 31 [size =\"21707776\"]\n  31 [size=\"32098987\", alpha=\"0.10\", expect_size=\"9629696\"] \n  31 -> 32 [size =\"9629696\"]\n  32 [size=\"21022720\", alpha=\"0.17\", expect_size=\"6306816\"] \n  32 -> 33 [size =\"6306816\"]\n  33 [size=\"24589653\", alpha=\"0.13\", expect_size=\"7376896\"] \n  33 -> 34 [size =\"7376896\"]\n  34 [size=\"96969387\", alpha=\"0.05\", expect_size=\"29090816\"] \n  34 -> 35 [size =\"29090816\"]\n  35 [size=\"90354347\", alpha=\"0.11\", expect_size=\"27106304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115712000\", alpha=\"0.16\", expect_size=\"34713600\"] \n  1 -> 34 [size =\"34713600\"]\n  2 [size=\"41335467\", alpha=\"0.06\", expect_size=\"12400640\"] \n  3 [size=\"132768427\", alpha=\"0.09\", expect_size=\"39830528\"] \n  3 -> 31 [size =\"39830528\"]\n  3 -> 34 [size =\"39830528\"]\n  4 [size=\"117937493\", alpha=\"0.16\", expect_size=\"35381248\"] \n  4 -> 34 [size =\"35381248\"]\n  4 -> 34 [size =\"35381248\"]\n  5 [size=\"146333013\", alpha=\"0.13\", expect_size=\"43899904\"] \n  5 -> 31 [size =\"43899904\"]\n  6 [size=\"66464427\", alpha=\"0.04\", expect_size=\"19939328\"] \n  6 -> 31 [size =\"19939328\"]\n  6 -> 34 [size =\"19939328\"]\n  7 [size=\"127795200\", alpha=\"0.00\", expect_size=\"38338560\"] \n  8 [size=\"44267520\", alpha=\"0.01\", expect_size=\"13280256\"] \n  8 -> 31 [size =\"13280256\"]\n  8 -> 33 [size =\"13280256\"]\n  9 [size=\"37782187\", alpha=\"0.07\", expect_size=\"11334656\"] \n  9 -> 35 [size =\"11334656\"]\n  10 [size=\"79960747\", alpha=\"0.02\", expect_size=\"23988224\"] \n  11 [size=\"44660053\", alpha=\"0.11\", expect_size=\"13398016\"] \n  11 -> 34 [size =\"13398016\"]\n  12 [size=\"171410773\", alpha=\"0.11\", expect_size=\"51423232\"] \n  12 -> 31 [size =\"51423232\"]\n  13 [size=\"64324267\", alpha=\"0.13\", expect_size=\"19297280\"] \n  13 -> 31 [size =\"19297280\"]\n  14 [size=\"135533227\", alpha=\"0.11\", expect_size=\"40659968\"] \n  14 -> 34 [size =\"40659968\"]\n  15 [size=\"106567680\", alpha=\"0.01\", expect_size=\"31970304\"] \n  15 -> 31 [size =\"31970304\"]\n  16 [size=\"48783360\", alpha=\"0.14\", expect_size=\"14635008\"] \n  16 -> 31 [size =\"14635008\"]\n  17 [size=\"82251093\", alpha=\"0.17\", expect_size=\"24675328\"] \n  17 -> 31 [size =\"24675328\"]\n  18 [size=\"83920213\", alpha=\"0.01\", expect_size=\"25176064\"] \n  18 -> 31 [size =\"25176064\"]\n  19 [size=\"90296320\", alpha=\"0.01\", expect_size=\"27088896\"] \n  19 -> 34 [size =\"27088896\"]\n  19 -> 35 [size =\"27088896\"]\n  20 [size=\"146923520\", alpha=\"0.04\", expect_size=\"44077056\"] \n  20 -> 34 [size =\"44077056\"]\n  21 [size=\"164468053\", alpha=\"0.19\", expect_size=\"49340416\"] \n  21 -> 34 [size =\"49340416\"]\n  22 [size=\"97320960\", alpha=\"0.18\", expect_size=\"29196288\"] \n  22 -> 31 [size =\"29196288\"]\n  22 -> 34 [size =\"29196288\"]\n  23 [size=\"25664853\", alpha=\"0.11\", expect_size=\"7699456\"] \n  23 -> 31 [size =\"7699456\"]\n  23 -> 34 [size =\"7699456\"]\n  24 [size=\"129860267\", alpha=\"0.17\", expect_size=\"38958080\"] \n  24 -> 34 [size =\"38958080\"]\n  24 -> 34 [size =\"38958080\"]\n  24 -> 35 [size =\"38958080\"]\n  25 [size=\"57299627\", alpha=\"0.19\", expect_size=\"17189888\"] \n  25 -> 31 [size =\"17189888\"]\n  25 -> 32 [size =\"17189888\"]\n  25 -> 34 [size =\"17189888\"]\n  26 [size=\"65365333\", alpha=\"0.07\", expect_size=\"19609600\"] \n  27 [size=\"21108053\", alpha=\"0.10\", expect_size=\"6332416\"] \n  27 -> 34 [size =\"6332416\"]\n  28 [size=\"153654613\", alpha=\"0.15\", expect_size=\"46096384\"] \n  28 -> 35 [size =\"46096384\"]\n  29 [size=\"159566507\", alpha=\"0.04\", expect_size=\"47869952\"] \n  29 -> 31 [size =\"47869952\"]\n  29 -> 34 [size =\"47869952\"]\n  29 -> 35 [size =\"47869952\"]\n  30 [size=\"170161493\", alpha=\"0.00\", expect_size=\"51048448\"] \n  30 -> 31 [size =\"51048448\"]\n  30 -> 34 [size =\"51048448\"]\n  30 -> 35 [size =\"51048448\"]\n  31 [size=\"45574827\", alpha=\"0.20\", expect_size=\"13672448\"] \n  32 [size=\"41332053\", alpha=\"0.19\", expect_size=\"12399616\"] \n  33 [size=\"24009387\", alpha=\"0.05\", expect_size=\"7202816\"] \n  34 [size=\"108902400\", alpha=\"0.05\", expect_size=\"32670720\"] \n  35 [size=\"81899520\", alpha=\"0.17\", expect_size=\"24569856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89483264\", alpha=\"0.07\", expect_size=\"44741632\"] \n  1 -> 2 [size =\"44741632\"]\n  2 [size=\"34416640\", alpha=\"0.13\", expect_size=\"17208320\"] \n  2 -> 3 [size =\"17208320\"]\n  3 [size=\"32561152\", alpha=\"0.07\", expect_size=\"16280576\"] \n  3 -> 4 [size =\"16280576\"]\n  4 [size=\"25929728\", alpha=\"0.15\", expect_size=\"12964864\"] \n  4 -> 5 [size =\"12964864\"]\n  5 [size=\"26703872\", alpha=\"0.17\", expect_size=\"13351936\"] \n  5 -> 6 [size =\"13351936\"]\n  6 [size=\"78721024\", alpha=\"0.12\", expect_size=\"39360512\"] \n  6 -> 7 [size =\"39360512\"]\n  7 [size=\"72472576\", alpha=\"0.05\", expect_size=\"36236288\"] \n  7 -> 8 [size =\"36236288\"]\n  8 [size=\"27174912\", alpha=\"0.04\", expect_size=\"13587456\"] \n  8 -> 9 [size =\"13587456\"]\n  9 [size=\"80953344\", alpha=\"0.02\", expect_size=\"40476672\"] \n  9 -> 10 [size =\"40476672\"]\n  10 [size=\"84977664\", alpha=\"0.15\", expect_size=\"42488832\"] \n  10 -> 11 [size =\"42488832\"]\n  11 [size=\"51927040\", alpha=\"0.19\", expect_size=\"25963520\"] \n  11 -> 12 [size =\"25963520\"]\n  12 [size=\"84914176\", alpha=\"0.01\", expect_size=\"42457088\"] \n  12 -> 13 [size =\"42457088\"]\n  13 [size=\"51355648\", alpha=\"0.02\", expect_size=\"25677824\"] \n  13 -> 14 [size =\"25677824\"]\n  14 [size=\"82700288\", alpha=\"0.09\", expect_size=\"41350144\"] \n  14 -> 15 [size =\"41350144\"]\n  15 [size=\"61429760\", alpha=\"0.14\", expect_size=\"30714880\"] \n  15 -> 16 [size =\"30714880\"]\n  16 [size=\"46424064\", alpha=\"0.15\", expect_size=\"23212032\"] \n  16 -> 17 [size =\"23212032\"]\n  17 [size=\"101969920\", alpha=\"0.06\", expect_size=\"50984960\"] \n  17 -> 18 [size =\"50984960\"]\n  18 [size=\"32192512\", alpha=\"0.07\", expect_size=\"16096256\"] \n  18 -> 19 [size =\"16096256\"]\n  19 [size=\"51329024\", alpha=\"0.20\", expect_size=\"25664512\"] \n  19 -> 20 [size =\"25664512\"]\n  20 [size=\"60839936\", alpha=\"0.15\", expect_size=\"30419968\"] \n  20 -> 21 [size =\"30419968\"]\n  21 [size=\"35694592\", alpha=\"0.08\", expect_size=\"17847296\"] \n  21 -> 22 [size =\"17847296\"]\n  22 [size=\"32432128\", alpha=\"0.05\", expect_size=\"16216064\"] \n  22 -> 23 [size =\"16216064\"]\n  23 [size=\"36988928\", alpha=\"0.08\", expect_size=\"18494464\"] \n  23 -> 24 [size =\"18494464\"]\n  24 [size=\"46622720\", alpha=\"0.13\", expect_size=\"23311360\"] \n  24 -> 25 [size =\"23311360\"]\n  25 [size=\"90824704\", alpha=\"0.02\", expect_size=\"45412352\"] \n  25 -> 26 [size =\"45412352\"]\n  26 [size=\"61276160\", alpha=\"0.05\", expect_size=\"30638080\"] \n  26 -> 27 [size =\"30638080\"]\n  27 [size=\"39202816\", alpha=\"0.02\", expect_size=\"19601408\"] \n  27 -> 28 [size =\"19601408\"]\n  28 [size=\"65196032\", alpha=\"0.02\", expect_size=\"32598016\"] \n  28 -> 29 [size =\"32598016\"]\n  29 [size=\"98658304\", alpha=\"0.17\", expect_size=\"49329152\"] \n  29 -> 30 [size =\"49329152\"]\n  30 [size=\"97148928\", alpha=\"0.08\", expect_size=\"48574464\"] \n  30 -> 31 [size =\"48574464\"]\n  31 [size=\"75493376\", alpha=\"0.07\", expect_size=\"37746688\"] \n  31 -> 32 [size =\"37746688\"]\n  32 [size=\"18321408\", alpha=\"0.03\", expect_size=\"9160704\"] \n  32 -> 33 [size =\"9160704\"]\n  33 [size=\"43933696\", alpha=\"0.07\", expect_size=\"21966848\"] \n  33 -> 34 [size =\"21966848\"]\n  34 [size=\"80035840\", alpha=\"0.06\", expect_size=\"40017920\"] \n  34 -> 35 [size =\"40017920\"]\n  35 [size=\"47704064\", alpha=\"0.16\", expect_size=\"23852032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14737408\", alpha=\"0.18\", expect_size=\"7368704\"] \n  1 -> 17 [size =\"7368704\"]\n  2 [size=\"57956352\", alpha=\"0.09\", expect_size=\"28978176\"] \n  2 -> 13 [size =\"28978176\"]\n  2 -> 15 [size =\"28978176\"]\n  2 -> 17 [size =\"28978176\"]\n  2 -> 18 [size =\"28978176\"]\n  3 [size=\"57212928\", alpha=\"0.10\", expect_size=\"28606464\"] \n  3 -> 11 [size =\"28606464\"]\n  3 -> 14 [size =\"28606464\"]\n  3 -> 15 [size =\"28606464\"]\n  3 -> 18 [size =\"28606464\"]\n  3 -> 19 [size =\"28606464\"]\n  4 [size=\"60356608\", alpha=\"0.07\", expect_size=\"30178304\"] \n  4 -> 15 [size =\"30178304\"]\n  4 -> 16 [size =\"30178304\"]\n  4 -> 19 [size =\"30178304\"]\n  4 -> 20 [size =\"30178304\"]\n  5 [size=\"45002752\", alpha=\"0.19\", expect_size=\"22501376\"] \n  5 -> 15 [size =\"22501376\"]\n  5 -> 16 [size =\"22501376\"]\n  6 [size=\"92428288\", alpha=\"0.17\", expect_size=\"46214144\"] \n  6 -> 11 [size =\"46214144\"]\n  6 -> 15 [size =\"46214144\"]\n  6 -> 17 [size =\"46214144\"]\n  7 [size=\"41789440\", alpha=\"0.12\", expect_size=\"20894720\"] \n  7 -> 10 [size =\"20894720\"]\n  7 -> 11 [size =\"20894720\"]\n  7 -> 14 [size =\"20894720\"]\n  8 [size=\"101986304\", alpha=\"0.16\", expect_size=\"50993152\"] \n  8 -> 11 [size =\"50993152\"]\n  8 -> 12 [size =\"50993152\"]\n  8 -> 13 [size =\"50993152\"]\n  8 -> 14 [size =\"50993152\"]\n  8 -> 16 [size =\"50993152\"]\n  8 -> 17 [size =\"50993152\"]\n  8 -> 19 [size =\"50993152\"]\n  9 [size=\"33540096\", alpha=\"0.12\", expect_size=\"16770048\"] \n  9 -> 12 [size =\"16770048\"]\n  9 -> 15 [size =\"16770048\"]\n  9 -> 19 [size =\"16770048\"]\n  10 [size=\"51247104\", alpha=\"0.09\", expect_size=\"25623552\"] \n  10 -> 22 [size =\"25623552\"]\n  10 -> 24 [size =\"25623552\"]\n  10 -> 26 [size =\"25623552\"]\n  10 -> 28 [size =\"25623552\"]\n  10 -> 29 [size =\"25623552\"]\n  10 -> 30 [size =\"25623552\"]\n  10 -> 32 [size =\"25623552\"]\n  10 -> 34 [size =\"25623552\"]\n  11 [size=\"27183104\", alpha=\"0.10\", expect_size=\"13591552\"] \n  11 -> 22 [size =\"13591552\"]\n  11 -> 24 [size =\"13591552\"]\n  11 -> 28 [size =\"13591552\"]\n  11 -> 34 [size =\"13591552\"]\n  12 [size=\"19539968\", alpha=\"0.09\", expect_size=\"9769984\"] \n  12 -> 22 [size =\"9769984\"]\n  12 -> 27 [size =\"9769984\"]\n  12 -> 29 [size =\"9769984\"]\n  12 -> 31 [size =\"9769984\"]\n  12 -> 33 [size =\"9769984\"]\n  13 [size=\"63033344\", alpha=\"0.15\", expect_size=\"31516672\"] \n  13 -> 23 [size =\"31516672\"]\n  14 [size=\"14559232\", alpha=\"0.11\", expect_size=\"7279616\"] \n  14 -> 22 [size =\"7279616\"]\n  14 -> 23 [size =\"7279616\"]\n  14 -> 26 [size =\"7279616\"]\n  14 -> 28 [size =\"7279616\"]\n  14 -> 29 [size =\"7279616\"]\n  14 -> 32 [size =\"7279616\"]\n  14 -> 34 [size =\"7279616\"]\n  15 [size=\"48242688\", alpha=\"0.08\", expect_size=\"24121344\"] \n  15 -> 23 [size =\"24121344\"]\n  15 -> 25 [size =\"24121344\"]\n  15 -> 29 [size =\"24121344\"]\n  16 [size=\"43247616\", alpha=\"0.08\", expect_size=\"21623808\"] \n  16 -> 21 [size =\"21623808\"]\n  16 -> 25 [size =\"21623808\"]\n  16 -> 30 [size =\"21623808\"]\n  16 -> 31 [size =\"21623808\"]\n  17 [size=\"29014016\", alpha=\"0.01\", expect_size=\"14507008\"] \n  17 -> 21 [size =\"14507008\"]\n  17 -> 26 [size =\"14507008\"]\n  17 -> 28 [size =\"14507008\"]\n  17 -> 33 [size =\"14507008\"]\n  18 [size=\"87801856\", alpha=\"0.01\", expect_size=\"43900928\"] \n  18 -> 22 [size =\"43900928\"]\n  18 -> 24 [size =\"43900928\"]\n  18 -> 27 [size =\"43900928\"]\n  18 -> 28 [size =\"43900928\"]\n  18 -> 31 [size =\"43900928\"]\n  18 -> 32 [size =\"43900928\"]\n  19 [size=\"71108608\", alpha=\"0.04\", expect_size=\"35554304\"] \n  19 -> 23 [size =\"35554304\"]\n  19 -> 25 [size =\"35554304\"]\n  19 -> 27 [size =\"35554304\"]\n  19 -> 29 [size =\"35554304\"]\n  19 -> 30 [size =\"35554304\"]\n  19 -> 34 [size =\"35554304\"]\n  20 [size=\"35049472\", alpha=\"0.16\", expect_size=\"17524736\"] \n  20 -> 23 [size =\"17524736\"]\n  20 -> 24 [size =\"17524736\"]\n  20 -> 29 [size =\"17524736\"]\n  20 -> 30 [size =\"17524736\"]\n  20 -> 32 [size =\"17524736\"]\n  20 -> 33 [size =\"17524736\"]\n  20 -> 34 [size =\"17524736\"]\n  21 [size=\"78012416\", alpha=\"0.09\", expect_size=\"39006208\"] \n  22 [size=\"30150656\", alpha=\"0.12\", expect_size=\"15075328\"] \n  23 [size=\"72706048\", alpha=\"0.04\", expect_size=\"36353024\"] \n  24 [size=\"48263168\", alpha=\"0.08\", expect_size=\"24131584\"] \n  25 [size=\"98396160\", alpha=\"0.18\", expect_size=\"49198080\"] \n  25 -> 35 [size =\"49198080\"]\n  26 [size=\"42270720\", alpha=\"0.06\", expect_size=\"21135360\"] \n  26 -> 35 [size =\"21135360\"]\n  27 [size=\"80281600\", alpha=\"0.01\", expect_size=\"40140800\"] \n  27 -> 35 [size =\"40140800\"]\n  28 [size=\"86480896\", alpha=\"0.15\", expect_size=\"43240448\"] \n  29 [size=\"90605568\", alpha=\"0.14\", expect_size=\"45302784\"] \n  30 [size=\"15888384\", alpha=\"0.02\", expect_size=\"7944192\"] \n  31 [size=\"91688960\", alpha=\"0.13\", expect_size=\"45844480\"] \n  32 [size=\"39145472\", alpha=\"0.06\", expect_size=\"19572736\"] \n  33 [size=\"94472192\", alpha=\"0.10\", expect_size=\"47236096\"] \n  33 -> 35 [size =\"47236096\"]\n  34 [size=\"21284864\", alpha=\"0.15\", expect_size=\"10642432\"] \n  35 [size=\"58195968\", alpha=\"0.08\", expect_size=\"29097984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124203520\", alpha=\"0.18\", expect_size=\"49681408\"] \n  1 -> 27 [size =\"49681408\"]\n  1 -> 31 [size =\"49681408\"]\n  1 -> 32 [size =\"49681408\"]\n  1 -> 34 [size =\"49681408\"]\n  2 [size=\"128481280\", alpha=\"0.12\", expect_size=\"51392512\"] \n  2 -> 26 [size =\"51392512\"]\n  3 [size=\"80043520\", alpha=\"0.00\", expect_size=\"32017408\"] \n  3 -> 24 [size =\"32017408\"]\n  3 -> 26 [size =\"32017408\"]\n  3 -> 32 [size =\"32017408\"]\n  4 [size=\"26275840\", alpha=\"0.13\", expect_size=\"10510336\"] \n  4 -> 23 [size =\"10510336\"]\n  4 -> 25 [size =\"10510336\"]\n  4 -> 26 [size =\"10510336\"]\n  4 -> 27 [size =\"10510336\"]\n  4 -> 31 [size =\"10510336\"]\n  4 -> 33 [size =\"10510336\"]\n  4 -> 35 [size =\"10510336\"]\n  5 [size=\"103994880\", alpha=\"0.04\", expect_size=\"41597952\"] \n  5 -> 23 [size =\"41597952\"]\n  5 -> 27 [size =\"41597952\"]\n  5 -> 30 [size =\"41597952\"]\n  5 -> 32 [size =\"41597952\"]\n  5 -> 33 [size =\"41597952\"]\n  6 [size=\"119121920\", alpha=\"0.04\", expect_size=\"47648768\"] \n  6 -> 26 [size =\"47648768\"]\n  6 -> 30 [size =\"47648768\"]\n  6 -> 32 [size =\"47648768\"]\n  6 -> 34 [size =\"47648768\"]\n  6 -> 35 [size =\"47648768\"]\n  7 [size=\"88271360\", alpha=\"0.05\", expect_size=\"35308544\"] \n  7 -> 27 [size =\"35308544\"]\n  7 -> 30 [size =\"35308544\"]\n  7 -> 35 [size =\"35308544\"]\n  8 [size=\"119116800\", alpha=\"0.18\", expect_size=\"47646720\"] \n  8 -> 24 [size =\"47646720\"]\n  8 -> 27 [size =\"47646720\"]\n  8 -> 30 [size =\"47646720\"]\n  8 -> 32 [size =\"47646720\"]\n  8 -> 34 [size =\"47646720\"]\n  9 [size=\"59028480\", alpha=\"0.18\", expect_size=\"23611392\"] \n  9 -> 24 [size =\"23611392\"]\n  9 -> 27 [size =\"23611392\"]\n  9 -> 30 [size =\"23611392\"]\n  9 -> 32 [size =\"23611392\"]\n  10 [size=\"105336320\", alpha=\"0.06\", expect_size=\"42134528\"] \n  10 -> 24 [size =\"42134528\"]\n  10 -> 26 [size =\"42134528\"]\n  10 -> 27 [size =\"42134528\"]\n  10 -> 30 [size =\"42134528\"]\n  11 [size=\"76313600\", alpha=\"0.14\", expect_size=\"30525440\"] \n  11 -> 24 [size =\"30525440\"]\n  11 -> 26 [size =\"30525440\"]\n  11 -> 30 [size =\"30525440\"]\n  11 -> 35 [size =\"30525440\"]\n  12 [size=\"65707520\", alpha=\"0.17\", expect_size=\"26283008\"] \n  12 -> 23 [size =\"26283008\"]\n  12 -> 24 [size =\"26283008\"]\n  12 -> 26 [size =\"26283008\"]\n  13 [size=\"17282560\", alpha=\"0.10\", expect_size=\"6913024\"] \n  13 -> 23 [size =\"6913024\"]\n  13 -> 24 [size =\"6913024\"]\n  13 -> 25 [size =\"6913024\"]\n  13 -> 26 [size =\"6913024\"]\n  13 -> 27 [size =\"6913024\"]\n  13 -> 28 [size =\"6913024\"]\n  13 -> 32 [size =\"6913024\"]\n  13 -> 35 [size =\"6913024\"]\n  14 [size=\"18449920\", alpha=\"0.15\", expect_size=\"7379968\"] \n  14 -> 23 [size =\"7379968\"]\n  14 -> 24 [size =\"7379968\"]\n  14 -> 26 [size =\"7379968\"]\n  14 -> 27 [size =\"7379968\"]\n  14 -> 30 [size =\"7379968\"]\n  14 -> 33 [size =\"7379968\"]\n  14 -> 35 [size =\"7379968\"]\n  15 [size=\"92436480\", alpha=\"0.11\", expect_size=\"36974592\"] \n  15 -> 24 [size =\"36974592\"]\n  15 -> 24 [size =\"36974592\"]\n  15 -> 26 [size =\"36974592\"]\n  15 -> 29 [size =\"36974592\"]\n  15 -> 35 [size =\"36974592\"]\n  16 [size=\"118799360\", alpha=\"0.17\", expect_size=\"47519744\"] \n  16 -> 23 [size =\"47519744\"]\n  16 -> 24 [size =\"47519744\"]\n  16 -> 31 [size =\"47519744\"]\n  17 [size=\"22745600\", alpha=\"0.17\", expect_size=\"9098240\"] \n  17 -> 23 [size =\"9098240\"]\n  17 -> 24 [size =\"9098240\"]\n  17 -> 27 [size =\"9098240\"]\n  17 -> 32 [size =\"9098240\"]\n  17 -> 34 [size =\"9098240\"]\n  18 [size=\"49914880\", alpha=\"0.18\", expect_size=\"19965952\"] \n  18 -> 23 [size =\"19965952\"]\n  18 -> 24 [size =\"19965952\"]\n  18 -> 32 [size =\"19965952\"]\n  18 -> 32 [size =\"19965952\"]\n  18 -> 34 [size =\"19965952\"]\n  19 [size=\"40519680\", alpha=\"0.12\", expect_size=\"16207872\"] \n  19 -> 23 [size =\"16207872\"]\n  19 -> 24 [size =\"16207872\"]\n  19 -> 26 [size =\"16207872\"]\n  19 -> 27 [size =\"16207872\"]\n  19 -> 32 [size =\"16207872\"]\n  19 -> 34 [size =\"16207872\"]\n  19 -> 35 [size =\"16207872\"]\n  20 [size=\"31157760\", alpha=\"0.09\", expect_size=\"12463104\"] \n  20 -> 24 [size =\"12463104\"]\n  20 -> 32 [size =\"12463104\"]\n  20 -> 35 [size =\"12463104\"]\n  21 [size=\"69386240\", alpha=\"0.05\", expect_size=\"27754496\"] \n  21 -> 25 [size =\"27754496\"]\n  21 -> 27 [size =\"27754496\"]\n  21 -> 30 [size =\"27754496\"]\n  21 -> 32 [size =\"27754496\"]\n  21 -> 35 [size =\"27754496\"]\n  22 [size=\"34974720\", alpha=\"0.01\", expect_size=\"13989888\"] \n  22 -> 27 [size =\"13989888\"]\n  22 -> 30 [size =\"13989888\"]\n  22 -> 32 [size =\"13989888\"]\n  22 -> 32 [size =\"13989888\"]\n  23 [size=\"17080320\", alpha=\"0.07\", expect_size=\"6832128\"] \n  24 [size=\"73405440\", alpha=\"0.16\", expect_size=\"29362176\"] \n  25 [size=\"45721600\", alpha=\"0.01\", expect_size=\"18288640\"] \n  26 [size=\"109465600\", alpha=\"0.03\", expect_size=\"43786240\"] \n  27 [size=\"94446080\", alpha=\"0.18\", expect_size=\"37778432\"] \n  28 [size=\"74286080\", alpha=\"0.11\", expect_size=\"29714432\"] \n  29 [size=\"63644160\", alpha=\"0.12\", expect_size=\"25457664\"] \n  30 [size=\"19069440\", alpha=\"0.08\", expect_size=\"7627776\"] \n  31 [size=\"74490880\", alpha=\"0.15\", expect_size=\"29796352\"] \n  32 [size=\"105075200\", alpha=\"0.11\", expect_size=\"42030080\"] \n  33 [size=\"108234240\", alpha=\"0.08\", expect_size=\"43293696\"] \n  34 [size=\"32936960\", alpha=\"0.06\", expect_size=\"13174784\"] \n  35 [size=\"128289280\", alpha=\"0.17\", expect_size=\"51315712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74158080\", alpha=\"0.08\", expect_size=\"37079040\"] \n  1 -> 3 [size =\"37079040\"]\n  2 [size=\"10569728\", alpha=\"0.15\", expect_size=\"5284864\"] \n  2 -> 4 [size =\"5284864\"]\n  3 [size=\"57362432\", alpha=\"0.01\", expect_size=\"28681216\"] \n  3 -> 5 [size =\"28681216\"]\n  4 [size=\"40194048\", alpha=\"0.19\", expect_size=\"20097024\"] \n  4 -> 5 [size =\"20097024\"]\n  5 [size=\"54650880\", alpha=\"0.12\", expect_size=\"27325440\"] \n  5 -> 6 [size =\"27325440\"]\n  5 -> 7 [size =\"27325440\"]\n  6 [size=\"88860672\", alpha=\"0.08\", expect_size=\"44430336\"] \n  6 -> 8 [size =\"44430336\"]\n  6 -> 9 [size =\"44430336\"]\n  7 [size=\"21948416\", alpha=\"0.19\", expect_size=\"10974208\"] \n  7 -> 9 [size =\"10974208\"]\n  8 [size=\"46616576\", alpha=\"0.15\", expect_size=\"23308288\"] \n  8 -> 10 [size =\"23308288\"]\n  9 [size=\"22052864\", alpha=\"0.14\", expect_size=\"11026432\"] \n  9 -> 10 [size =\"11026432\"]\n  10 [size=\"65415168\", alpha=\"0.11\", expect_size=\"32707584\"] \n  10 -> 11 [size =\"32707584\"]\n  11 [size=\"58939392\", alpha=\"0.02\", expect_size=\"29469696\"] \n  11 -> 12 [size =\"29469696\"]\n  11 -> 13 [size =\"29469696\"]\n  12 [size=\"95670272\", alpha=\"0.19\", expect_size=\"47835136\"] \n  12 -> 14 [size =\"47835136\"]\n  13 [size=\"70748160\", alpha=\"0.05\", expect_size=\"35374080\"] \n  13 -> 14 [size =\"35374080\"]\n  14 [size=\"75147264\", alpha=\"0.08\", expect_size=\"37573632\"] \n  14 -> 15 [size =\"37573632\"]\n  15 [size=\"70903808\", alpha=\"0.04\", expect_size=\"35451904\"] \n  15 -> 16 [size =\"35451904\"]\n  15 -> 17 [size =\"35451904\"]\n  16 [size=\"33509376\", alpha=\"0.01\", expect_size=\"16754688\"] \n  16 -> 18 [size =\"16754688\"]\n  17 [size=\"69017600\", alpha=\"0.08\", expect_size=\"34508800\"] \n  17 -> 18 [size =\"34508800\"]\n  18 [size=\"62167040\", alpha=\"0.13\", expect_size=\"31083520\"] \n  18 -> 19 [size =\"31083520\"]\n  18 -> 20 [size =\"31083520\"]\n  19 [size=\"40046592\", alpha=\"0.11\", expect_size=\"20023296\"] \n  19 -> 21 [size =\"20023296\"]\n  20 [size=\"13617152\", alpha=\"0.00\", expect_size=\"6808576\"] \n  20 -> 22 [size =\"6808576\"]\n  21 [size=\"66289664\", alpha=\"0.03\", expect_size=\"33144832\"] \n  21 -> 23 [size =\"33144832\"]\n  22 [size=\"76244992\", alpha=\"0.06\", expect_size=\"38122496\"] \n  22 -> 23 [size =\"38122496\"]\n  22 -> 24 [size =\"38122496\"]\n  23 [size=\"71479296\", alpha=\"0.19\", expect_size=\"35739648\"] \n  23 -> 25 [size =\"35739648\"]\n  23 -> 26 [size =\"35739648\"]\n  24 [size=\"94830592\", alpha=\"0.18\", expect_size=\"47415296\"] \n  24 -> 26 [size =\"47415296\"]\n  25 [size=\"36591616\", alpha=\"0.06\", expect_size=\"18295808\"] \n  25 -> 27 [size =\"18295808\"]\n  26 [size=\"53917696\", alpha=\"0.11\", expect_size=\"26958848\"] \n  26 -> 27 [size =\"26958848\"]\n  26 -> 28 [size =\"26958848\"]\n  27 [size=\"60436480\", alpha=\"0.19\", expect_size=\"30218240\"] \n  28 [size=\"100352000\", alpha=\"0.14\", expect_size=\"50176000\"] \n  28 -> 29 [size =\"50176000\"]\n  29 [size=\"69273600\", alpha=\"0.12\", expect_size=\"34636800\"] \n  29 -> 30 [size =\"34636800\"]\n  29 -> 31 [size =\"34636800\"]\n  30 [size=\"25174016\", alpha=\"0.01\", expect_size=\"12587008\"] \n  30 -> 32 [size =\"12587008\"]\n  31 [size=\"25268224\", alpha=\"0.00\", expect_size=\"12634112\"] \n  31 -> 32 [size =\"12634112\"]\n  31 -> 33 [size =\"12634112\"]\n  32 [size=\"38858752\", alpha=\"0.18\", expect_size=\"19429376\"] \n  32 -> 34 [size =\"19429376\"]\n  33 [size=\"66029568\", alpha=\"0.08\", expect_size=\"33014784\"] \n  33 -> 35 [size =\"33014784\"]\n  34 [size=\"59289600\", alpha=\"0.12\", expect_size=\"29644800\"] \n  35 [size=\"48343040\", alpha=\"0.09\", expect_size=\"24171520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163198293\", alpha=\"0.13\", expect_size=\"48959488\"] \n  1 -> 2 [size =\"48959488\"]\n  2 [size=\"141605547\", alpha=\"0.06\", expect_size=\"42481664\"] \n  2 -> 3 [size =\"42481664\"]\n  3 [size=\"74021547\", alpha=\"0.10\", expect_size=\"22206464\"] \n  3 -> 4 [size =\"22206464\"]\n  4 [size=\"64901120\", alpha=\"0.10\", expect_size=\"19470336\"] \n  4 -> 5 [size =\"19470336\"]\n  5 [size=\"36270080\", alpha=\"0.10\", expect_size=\"10881024\"] \n  5 -> 6 [size =\"10881024\"]\n  6 [size=\"140455253\", alpha=\"0.06\", expect_size=\"42136576\"] \n  6 -> 7 [size =\"42136576\"]\n  7 [size=\"133171200\", alpha=\"0.15\", expect_size=\"39951360\"] \n  7 -> 8 [size =\"39951360\"]\n  8 [size=\"102273707\", alpha=\"0.03\", expect_size=\"30682112\"] \n  8 -> 9 [size =\"30682112\"]\n  9 [size=\"21131947\", alpha=\"0.04\", expect_size=\"6339584\"] \n  9 -> 10 [size =\"6339584\"]\n  10 [size=\"27211093\", alpha=\"0.10\", expect_size=\"8163328\"] \n  10 -> 11 [size =\"8163328\"]\n  11 [size=\"160020480\", alpha=\"0.12\", expect_size=\"48006144\"] \n  11 -> 12 [size =\"48006144\"]\n  12 [size=\"105202347\", alpha=\"0.13\", expect_size=\"31560704\"] \n  12 -> 13 [size =\"31560704\"]\n  13 [size=\"150756693\", alpha=\"0.15\", expect_size=\"45227008\"] \n  13 -> 14 [size =\"45227008\"]\n  14 [size=\"69990400\", alpha=\"0.11\", expect_size=\"20997120\"] \n  14 -> 15 [size =\"20997120\"]\n  15 [size=\"151879680\", alpha=\"0.07\", expect_size=\"45563904\"] \n  15 -> 16 [size =\"45563904\"]\n  16 [size=\"75448320\", alpha=\"0.15\", expect_size=\"22634496\"] \n  16 -> 17 [size =\"22634496\"]\n  17 [size=\"122344107\", alpha=\"0.15\", expect_size=\"36703232\"] \n  17 -> 18 [size =\"36703232\"]\n  18 [size=\"84497067\", alpha=\"0.19\", expect_size=\"25349120\"] \n  18 -> 19 [size =\"25349120\"]\n  19 [size=\"107844267\", alpha=\"0.16\", expect_size=\"32353280\"] \n  19 -> 20 [size =\"32353280\"]\n  20 [size=\"138806613\", alpha=\"0.11\", expect_size=\"41641984\"] \n  20 -> 21 [size =\"41641984\"]\n  21 [size=\"60781227\", alpha=\"0.05\", expect_size=\"18234368\"] \n  21 -> 22 [size =\"18234368\"]\n  22 [size=\"157566293\", alpha=\"0.14\", expect_size=\"47269888\"] \n  22 -> 23 [size =\"47269888\"]\n  23 [size=\"99208533\", alpha=\"0.11\", expect_size=\"29762560\"] \n  23 -> 24 [size =\"29762560\"]\n  24 [size=\"56432640\", alpha=\"0.14\", expect_size=\"16929792\"] \n  24 -> 25 [size =\"16929792\"]\n  25 [size=\"143001600\", alpha=\"0.19\", expect_size=\"42900480\"] \n  25 -> 26 [size =\"42900480\"]\n  26 [size=\"42509653\", alpha=\"0.20\", expect_size=\"12752896\"] \n  26 -> 27 [size =\"12752896\"]\n  27 [size=\"160218453\", alpha=\"0.15\", expect_size=\"48065536\"] \n  27 -> 28 [size =\"48065536\"]\n  28 [size=\"123654827\", alpha=\"0.01\", expect_size=\"37096448\"] \n  28 -> 29 [size =\"37096448\"]\n  29 [size=\"114653867\", alpha=\"0.08\", expect_size=\"34396160\"] \n  29 -> 30 [size =\"34396160\"]\n  30 [size=\"82080427\", alpha=\"0.16\", expect_size=\"24624128\"] \n  30 -> 31 [size =\"24624128\"]\n  31 [size=\"169007787\", alpha=\"0.02\", expect_size=\"50702336\"] \n  31 -> 32 [size =\"50702336\"]\n  32 [size=\"49295360\", alpha=\"0.19\", expect_size=\"14788608\"] \n  32 -> 33 [size =\"14788608\"]\n  33 [size=\"161652053\", alpha=\"0.13\", expect_size=\"48495616\"] \n  33 -> 34 [size =\"48495616\"]\n  34 [size=\"90767360\", alpha=\"0.14\", expect_size=\"27230208\"] \n  34 -> 35 [size =\"27230208\"]\n  35 [size=\"41355947\", alpha=\"0.12\", expect_size=\"12406784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128038400\", alpha=\"0.16\", expect_size=\"51215360\"] \n  1 -> 2 [size =\"51215360\"]\n  2 [size=\"129953280\", alpha=\"0.03\", expect_size=\"51981312\"] \n  2 -> 3 [size =\"51981312\"]\n  3 [size=\"34644480\", alpha=\"0.00\", expect_size=\"13857792\"] \n  3 -> 4 [size =\"13857792\"]\n  4 [size=\"57067520\", alpha=\"0.15\", expect_size=\"22827008\"] \n  4 -> 5 [size =\"22827008\"]\n  5 [size=\"87098880\", alpha=\"0.18\", expect_size=\"34839552\"] \n  5 -> 6 [size =\"34839552\"]\n  6 [size=\"56486400\", alpha=\"0.13\", expect_size=\"22594560\"] \n  6 -> 7 [size =\"22594560\"]\n  7 [size=\"67883520\", alpha=\"0.16\", expect_size=\"27153408\"] \n  7 -> 8 [size =\"27153408\"]\n  8 [size=\"112949760\", alpha=\"0.04\", expect_size=\"45179904\"] \n  8 -> 9 [size =\"45179904\"]\n  9 [size=\"106373120\", alpha=\"0.07\", expect_size=\"42549248\"] \n  9 -> 10 [size =\"42549248\"]\n  10 [size=\"13775360\", alpha=\"0.11\", expect_size=\"5510144\"] \n  10 -> 11 [size =\"5510144\"]\n  11 [size=\"94310400\", alpha=\"0.01\", expect_size=\"37724160\"] \n  11 -> 12 [size =\"37724160\"]\n  12 [size=\"72058880\", alpha=\"0.02\", expect_size=\"28823552\"] \n  12 -> 13 [size =\"28823552\"]\n  13 [size=\"89387520\", alpha=\"0.06\", expect_size=\"35755008\"] \n  13 -> 14 [size =\"35755008\"]\n  14 [size=\"89477120\", alpha=\"0.18\", expect_size=\"35790848\"] \n  14 -> 15 [size =\"35790848\"]\n  15 [size=\"60920320\", alpha=\"0.16\", expect_size=\"24368128\"] \n  15 -> 16 [size =\"24368128\"]\n  16 [size=\"50649600\", alpha=\"0.19\", expect_size=\"20259840\"] \n  16 -> 17 [size =\"20259840\"]\n  17 [size=\"126044160\", alpha=\"0.09\", expect_size=\"50417664\"] \n  17 -> 18 [size =\"50417664\"]\n  18 [size=\"101744640\", alpha=\"0.02\", expect_size=\"40697856\"] \n  18 -> 19 [size =\"40697856\"]\n  19 [size=\"125893120\", alpha=\"0.19\", expect_size=\"50357248\"] \n  19 -> 20 [size =\"50357248\"]\n  20 [size=\"49185280\", alpha=\"0.19\", expect_size=\"19674112\"] \n  20 -> 21 [size =\"19674112\"]\n  21 [size=\"114176000\", alpha=\"0.18\", expect_size=\"45670400\"] \n  21 -> 22 [size =\"45670400\"]\n  22 [size=\"117964800\", alpha=\"0.17\", expect_size=\"47185920\"] \n  22 -> 23 [size =\"47185920\"]\n  23 [size=\"128691200\", alpha=\"0.20\", expect_size=\"51476480\"] \n  23 -> 24 [size =\"51476480\"]\n  24 [size=\"44090880\", alpha=\"0.10\", expect_size=\"17636352\"] \n  24 -> 25 [size =\"17636352\"]\n  25 [size=\"29719040\", alpha=\"0.12\", expect_size=\"11887616\"] \n  25 -> 26 [size =\"11887616\"]\n  26 [size=\"123543040\", alpha=\"0.02\", expect_size=\"49417216\"] \n  26 -> 27 [size =\"49417216\"]\n  27 [size=\"116823040\", alpha=\"0.02\", expect_size=\"46729216\"] \n  27 -> 28 [size =\"46729216\"]\n  28 [size=\"49392640\", alpha=\"0.18\", expect_size=\"19757056\"] \n  28 -> 29 [size =\"19757056\"]\n  29 [size=\"62737920\", alpha=\"0.10\", expect_size=\"25095168\"] \n  29 -> 30 [size =\"25095168\"]\n  30 [size=\"56478720\", alpha=\"0.02\", expect_size=\"22591488\"] \n  30 -> 31 [size =\"22591488\"]\n  31 [size=\"48650240\", alpha=\"0.08\", expect_size=\"19460096\"] \n  31 -> 32 [size =\"19460096\"]\n  32 [size=\"36216320\", alpha=\"0.04\", expect_size=\"14486528\"] \n  32 -> 33 [size =\"14486528\"]\n  33 [size=\"18060800\", alpha=\"0.13\", expect_size=\"7224320\"] \n  33 -> 34 [size =\"7224320\"]\n  34 [size=\"15720960\", alpha=\"0.15\", expect_size=\"6288384\"] \n  34 -> 35 [size =\"6288384\"]\n  35 [size=\"73159680\", alpha=\"0.05\", expect_size=\"29263872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34052096\", alpha=\"0.10\", expect_size=\"17026048\"] \n  2 [size=\"36143104\", alpha=\"0.08\", expect_size=\"18071552\"] \n  2 -> 3 [size =\"18071552\"]\n  3 [size=\"95784960\", alpha=\"0.12\", expect_size=\"47892480\"] \n  3 -> 4 [size =\"47892480\"]\n  4 [size=\"73984000\", alpha=\"0.01\", expect_size=\"36992000\"] \n  4 -> 5 [size =\"36992000\"]\n  4 -> 6 [size =\"36992000\"]\n  5 [size=\"16773120\", alpha=\"0.18\", expect_size=\"8386560\"] \n  5 -> 8 [size =\"8386560\"]\n  6 [size=\"54212608\", alpha=\"0.19\", expect_size=\"27106304\"] \n  6 -> 7 [size =\"27106304\"]\n  6 -> 8 [size =\"27106304\"]\n  7 [size=\"45377536\", alpha=\"0.03\", expect_size=\"22688768\"] \n  8 [size=\"85008384\", alpha=\"0.09\", expect_size=\"42504192\"] \n  8 -> 9 [size =\"42504192\"]\n  9 [size=\"45533184\", alpha=\"0.05\", expect_size=\"22766592\"] \n  9 -> 10 [size =\"22766592\"]\n  10 [size=\"65101824\", alpha=\"0.10\", expect_size=\"32550912\"] \n  10 -> 11 [size =\"32550912\"]\n  10 -> 12 [size =\"32550912\"]\n  11 [size=\"80476160\", alpha=\"0.06\", expect_size=\"40238080\"] \n  11 -> 13 [size =\"40238080\"]\n  12 [size=\"32454656\", alpha=\"0.19\", expect_size=\"16227328\"] \n  12 -> 14 [size =\"16227328\"]\n  13 [size=\"71636992\", alpha=\"0.01\", expect_size=\"35818496\"] \n  13 -> 15 [size =\"35818496\"]\n  14 [size=\"32505856\", alpha=\"0.19\", expect_size=\"16252928\"] \n  15 [size=\"37820416\", alpha=\"0.13\", expect_size=\"18910208\"] \n  15 -> 16 [size =\"18910208\"]\n  16 [size=\"26478592\", alpha=\"0.08\", expect_size=\"13239296\"] \n  16 -> 17 [size =\"13239296\"]\n  17 [size=\"22378496\", alpha=\"0.16\", expect_size=\"11189248\"] \n  17 -> 18 [size =\"11189248\"]\n  17 -> 19 [size =\"11189248\"]\n  18 [size=\"37584896\", alpha=\"0.11\", expect_size=\"18792448\"] \n  18 -> 20 [size =\"18792448\"]\n  18 -> 21 [size =\"18792448\"]\n  19 [size=\"80031744\", alpha=\"0.19\", expect_size=\"40015872\"] \n  19 -> 20 [size =\"40015872\"]\n  20 [size=\"103817216\", alpha=\"0.08\", expect_size=\"51908608\"] \n  21 [size=\"57311232\", alpha=\"0.03\", expect_size=\"28655616\"] \n  21 -> 22 [size =\"28655616\"]\n  22 [size=\"85989376\", alpha=\"0.03\", expect_size=\"42994688\"] \n  22 -> 23 [size =\"42994688\"]\n  23 [size=\"79699968\", alpha=\"0.00\", expect_size=\"39849984\"] \n  23 -> 24 [size =\"39849984\"]\n  24 [size=\"83343360\", alpha=\"0.12\", expect_size=\"41671680\"] \n  24 -> 25 [size =\"41671680\"]\n  25 [size=\"80044032\", alpha=\"0.04\", expect_size=\"40022016\"] \n  25 -> 26 [size =\"40022016\"]\n  25 -> 27 [size =\"40022016\"]\n  26 [size=\"46247936\", alpha=\"0.06\", expect_size=\"23123968\"] \n  26 -> 28 [size =\"23123968\"]\n  27 [size=\"85932032\", alpha=\"0.16\", expect_size=\"42966016\"] \n  27 -> 29 [size =\"42966016\"]\n  28 [size=\"67067904\", alpha=\"0.01\", expect_size=\"33533952\"] \n  28 -> 31 [size =\"33533952\"]\n  29 [size=\"24315904\", alpha=\"0.13\", expect_size=\"12157952\"] \n  29 -> 30 [size =\"12157952\"]\n  29 -> 31 [size =\"12157952\"]\n  30 [size=\"19333120\", alpha=\"0.18\", expect_size=\"9666560\"] \n  31 [size=\"58617856\", alpha=\"0.17\", expect_size=\"29308928\"] \n  31 -> 32 [size =\"29308928\"]\n  32 [size=\"71362560\", alpha=\"0.00\", expect_size=\"35681280\"] \n  32 -> 33 [size =\"35681280\"]\n  33 [size=\"83226624\", alpha=\"0.17\", expect_size=\"41613312\"] \n  33 -> 34 [size =\"41613312\"]\n  34 [size=\"85137408\", alpha=\"0.18\", expect_size=\"42568704\"] \n  34 -> 35 [size =\"42568704\"]\n  35 [size=\"46221312\", alpha=\"0.05\", expect_size=\"23110656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83470336\", alpha=\"0.04\", expect_size=\"41735168\"] \n  1 -> 25 [size =\"41735168\"]\n  1 -> 26 [size =\"41735168\"]\n  1 -> 27 [size =\"41735168\"]\n  2 [size=\"49201152\", alpha=\"0.17\", expect_size=\"24600576\"] \n  2 -> 25 [size =\"24600576\"]\n  2 -> 26 [size =\"24600576\"]\n  2 -> 29 [size =\"24600576\"]\n  2 -> 30 [size =\"24600576\"]\n  2 -> 31 [size =\"24600576\"]\n  3 [size=\"51238912\", alpha=\"0.02\", expect_size=\"25619456\"] \n  3 -> 27 [size =\"25619456\"]\n  3 -> 29 [size =\"25619456\"]\n  3 -> 31 [size =\"25619456\"]\n  3 -> 32 [size =\"25619456\"]\n  3 -> 35 [size =\"25619456\"]\n  4 [size=\"48007168\", alpha=\"0.04\", expect_size=\"24003584\"] \n  4 -> 22 [size =\"24003584\"]\n  4 -> 30 [size =\"24003584\"]\n  4 -> 31 [size =\"24003584\"]\n  4 -> 32 [size =\"24003584\"]\n  4 -> 35 [size =\"24003584\"]\n  5 [size=\"75083776\", alpha=\"0.15\", expect_size=\"37541888\"] \n  5 -> 22 [size =\"37541888\"]\n  5 -> 25 [size =\"37541888\"]\n  5 -> 31 [size =\"37541888\"]\n  5 -> 32 [size =\"37541888\"]\n  6 [size=\"40081408\", alpha=\"0.10\", expect_size=\"20040704\"] \n  6 -> 23 [size =\"20040704\"]\n  6 -> 27 [size =\"20040704\"]\n  6 -> 33 [size =\"20040704\"]\n  6 -> 34 [size =\"20040704\"]\n  6 -> 35 [size =\"20040704\"]\n  7 [size=\"52293632\", alpha=\"0.09\", expect_size=\"26146816\"] \n  7 -> 31 [size =\"26146816\"]\n  7 -> 32 [size =\"26146816\"]\n  7 -> 35 [size =\"26146816\"]\n  8 [size=\"104204288\", alpha=\"0.04\", expect_size=\"52102144\"] \n  8 -> 35 [size =\"52102144\"]\n  9 [size=\"30441472\", alpha=\"0.19\", expect_size=\"15220736\"] \n  9 -> 31 [size =\"15220736\"]\n  9 -> 35 [size =\"15220736\"]\n  10 [size=\"81444864\", alpha=\"0.06\", expect_size=\"40722432\"] \n  10 -> 22 [size =\"40722432\"]\n  10 -> 23 [size =\"40722432\"]\n  10 -> 29 [size =\"40722432\"]\n  10 -> 35 [size =\"40722432\"]\n  11 [size=\"15519744\", alpha=\"0.04\", expect_size=\"7759872\"] \n  11 -> 23 [size =\"7759872\"]\n  11 -> 27 [size =\"7759872\"]\n  11 -> 28 [size =\"7759872\"]\n  11 -> 33 [size =\"7759872\"]\n  12 [size=\"33318912\", alpha=\"0.06\", expect_size=\"16659456\"] \n  12 -> 22 [size =\"16659456\"]\n  12 -> 27 [size =\"16659456\"]\n  12 -> 28 [size =\"16659456\"]\n  12 -> 29 [size =\"16659456\"]\n  12 -> 33 [size =\"16659456\"]\n  13 [size=\"18190336\", alpha=\"0.08\", expect_size=\"9095168\"] \n  13 -> 22 [size =\"9095168\"]\n  13 -> 23 [size =\"9095168\"]\n  13 -> 32 [size =\"9095168\"]\n  14 [size=\"29493248\", alpha=\"0.02\", expect_size=\"14746624\"] \n  14 -> 22 [size =\"14746624\"]\n  14 -> 25 [size =\"14746624\"]\n  14 -> 27 [size =\"14746624\"]\n  14 -> 28 [size =\"14746624\"]\n  14 -> 30 [size =\"14746624\"]\n  14 -> 32 [size =\"14746624\"]\n  14 -> 33 [size =\"14746624\"]\n  15 [size=\"48685056\", alpha=\"0.18\", expect_size=\"24342528\"] \n  15 -> 25 [size =\"24342528\"]\n  15 -> 32 [size =\"24342528\"]\n  15 -> 34 [size =\"24342528\"]\n  16 [size=\"23103488\", alpha=\"0.08\", expect_size=\"11551744\"] \n  16 -> 25 [size =\"11551744\"]\n  16 -> 32 [size =\"11551744\"]\n  16 -> 33 [size =\"11551744\"]\n  17 [size=\"67938304\", alpha=\"0.04\", expect_size=\"33969152\"] \n  17 -> 31 [size =\"33969152\"]\n  17 -> 33 [size =\"33969152\"]\n  18 [size=\"18098176\", alpha=\"0.16\", expect_size=\"9049088\"] \n  18 -> 24 [size =\"9049088\"]\n  18 -> 26 [size =\"9049088\"]\n  18 -> 29 [size =\"9049088\"]\n  18 -> 31 [size =\"9049088\"]\n  18 -> 32 [size =\"9049088\"]\n  18 -> 33 [size =\"9049088\"]\n  18 -> 35 [size =\"9049088\"]\n  19 [size=\"37441536\", alpha=\"0.04\", expect_size=\"18720768\"] \n  19 -> 22 [size =\"18720768\"]\n  19 -> 31 [size =\"18720768\"]\n  19 -> 32 [size =\"18720768\"]\n  19 -> 33 [size =\"18720768\"]\n  19 -> 34 [size =\"18720768\"]\n  19 -> 35 [size =\"18720768\"]\n  20 [size=\"32954368\", alpha=\"0.06\", expect_size=\"16477184\"] \n  20 -> 22 [size =\"16477184\"]\n  20 -> 25 [size =\"16477184\"]\n  20 -> 27 [size =\"16477184\"]\n  20 -> 29 [size =\"16477184\"]\n  20 -> 32 [size =\"16477184\"]\n  20 -> 33 [size =\"16477184\"]\n  21 [size=\"61243392\", alpha=\"0.05\", expect_size=\"30621696\"] \n  21 -> 23 [size =\"30621696\"]\n  21 -> 29 [size =\"30621696\"]\n  22 [size=\"80787456\", alpha=\"0.11\", expect_size=\"40393728\"] \n  23 [size=\"16666624\", alpha=\"0.06\", expect_size=\"8333312\"] \n  24 [size=\"52871168\", alpha=\"0.09\", expect_size=\"26435584\"] \n  25 [size=\"61270016\", alpha=\"0.06\", expect_size=\"30635008\"] \n  26 [size=\"54069248\", alpha=\"0.09\", expect_size=\"27034624\"] \n  27 [size=\"90535936\", alpha=\"0.00\", expect_size=\"45267968\"] \n  28 [size=\"14637056\", alpha=\"0.12\", expect_size=\"7318528\"] \n  29 [size=\"91080704\", alpha=\"0.08\", expect_size=\"45540352\"] \n  30 [size=\"13967360\", alpha=\"0.19\", expect_size=\"6983680\"] \n  31 [size=\"44075008\", alpha=\"0.11\", expect_size=\"22037504\"] \n  32 [size=\"65644544\", alpha=\"0.08\", expect_size=\"32822272\"] \n  33 [size=\"23023616\", alpha=\"0.06\", expect_size=\"11511808\"] \n  34 [size=\"51333120\", alpha=\"0.09\", expect_size=\"25666560\"] \n  35 [size=\"93726720\", alpha=\"0.19\", expect_size=\"46863360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12849152\", alpha=\"0.01\", expect_size=\"6424576\"] \n  1 -> 2 [size =\"6424576\"]\n  2 [size=\"99915776\", alpha=\"0.05\", expect_size=\"49957888\"] \n  2 -> 3 [size =\"49957888\"]\n  3 [size=\"65028096\", alpha=\"0.05\", expect_size=\"32514048\"] \n  3 -> 4 [size =\"32514048\"]\n  4 [size=\"93054976\", alpha=\"0.10\", expect_size=\"46527488\"] \n  4 -> 5 [size =\"46527488\"]\n  5 [size=\"100648960\", alpha=\"0.17\", expect_size=\"50324480\"] \n  5 -> 6 [size =\"50324480\"]\n  6 [size=\"33169408\", alpha=\"0.15\", expect_size=\"16584704\"] \n  6 -> 7 [size =\"16584704\"]\n  7 [size=\"20072448\", alpha=\"0.16\", expect_size=\"10036224\"] \n  7 -> 8 [size =\"10036224\"]\n  8 [size=\"33689600\", alpha=\"0.01\", expect_size=\"16844800\"] \n  8 -> 9 [size =\"16844800\"]\n  9 [size=\"44509184\", alpha=\"0.18\", expect_size=\"22254592\"] \n  9 -> 10 [size =\"22254592\"]\n  10 [size=\"60958720\", alpha=\"0.12\", expect_size=\"30479360\"] \n  10 -> 11 [size =\"30479360\"]\n  11 [size=\"34215936\", alpha=\"0.03\", expect_size=\"17107968\"] \n  11 -> 12 [size =\"17107968\"]\n  12 [size=\"38535168\", alpha=\"0.15\", expect_size=\"19267584\"] \n  12 -> 13 [size =\"19267584\"]\n  13 [size=\"64073728\", alpha=\"0.11\", expect_size=\"32036864\"] \n  13 -> 14 [size =\"32036864\"]\n  14 [size=\"89499648\", alpha=\"0.10\", expect_size=\"44749824\"] \n  14 -> 15 [size =\"44749824\"]\n  15 [size=\"43479040\", alpha=\"0.16\", expect_size=\"21739520\"] \n  15 -> 16 [size =\"21739520\"]\n  16 [size=\"29163520\", alpha=\"0.03\", expect_size=\"14581760\"] \n  16 -> 17 [size =\"14581760\"]\n  17 [size=\"99958784\", alpha=\"0.05\", expect_size=\"49979392\"] \n  17 -> 18 [size =\"49979392\"]\n  18 [size=\"81516544\", alpha=\"0.18\", expect_size=\"40758272\"] \n  18 -> 19 [size =\"40758272\"]\n  19 [size=\"85800960\", alpha=\"0.09\", expect_size=\"42900480\"] \n  19 -> 20 [size =\"42900480\"]\n  20 [size=\"75026432\", alpha=\"0.19\", expect_size=\"37513216\"] \n  20 -> 21 [size =\"37513216\"]\n  21 [size=\"37201920\", alpha=\"0.10\", expect_size=\"18600960\"] \n  21 -> 22 [size =\"18600960\"]\n  22 [size=\"52076544\", alpha=\"0.20\", expect_size=\"26038272\"] \n  22 -> 23 [size =\"26038272\"]\n  23 [size=\"28542976\", alpha=\"0.01\", expect_size=\"14271488\"] \n  23 -> 24 [size =\"14271488\"]\n  24 [size=\"80941056\", alpha=\"0.20\", expect_size=\"40470528\"] \n  24 -> 25 [size =\"40470528\"]\n  25 [size=\"35254272\", alpha=\"0.17\", expect_size=\"17627136\"] \n  25 -> 26 [size =\"17627136\"]\n  26 [size=\"16834560\", alpha=\"0.00\", expect_size=\"8417280\"] \n  26 -> 27 [size =\"8417280\"]\n  27 [size=\"32399360\", alpha=\"0.05\", expect_size=\"16199680\"] \n  27 -> 28 [size =\"16199680\"]\n  28 [size=\"55121920\", alpha=\"0.14\", expect_size=\"27560960\"] \n  28 -> 29 [size =\"27560960\"]\n  29 [size=\"47980544\", alpha=\"0.11\", expect_size=\"23990272\"] \n  29 -> 30 [size =\"23990272\"]\n  30 [size=\"91373568\", alpha=\"0.19\", expect_size=\"45686784\"] \n  30 -> 31 [size =\"45686784\"]\n  31 [size=\"88518656\", alpha=\"0.11\", expect_size=\"44259328\"] \n  31 -> 32 [size =\"44259328\"]\n  32 [size=\"41777152\", alpha=\"0.10\", expect_size=\"20888576\"] \n  32 -> 33 [size =\"20888576\"]\n  33 [size=\"40583168\", alpha=\"0.19\", expect_size=\"20291584\"] \n  33 -> 34 [size =\"20291584\"]\n  34 [size=\"45103104\", alpha=\"0.06\", expect_size=\"22551552\"] \n  34 -> 35 [size =\"22551552\"]\n  35 [size=\"43538432\", alpha=\"0.20\", expect_size=\"21769216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31336960\", alpha=\"0.13\", expect_size=\"12534784\"] \n  1 -> 5 [size =\"12534784\"]\n  1 -> 7 [size =\"12534784\"]\n  1 -> 8 [size =\"12534784\"]\n  1 -> 9 [size =\"12534784\"]\n  1 -> 10 [size =\"12534784\"]\n  2 [size=\"77521920\", alpha=\"0.18\", expect_size=\"31008768\"] \n  2 -> 5 [size =\"31008768\"]\n  2 -> 8 [size =\"31008768\"]\n  2 -> 9 [size =\"31008768\"]\n  2 -> 10 [size =\"31008768\"]\n  2 -> 10 [size =\"31008768\"]\n  3 [size=\"31032320\", alpha=\"0.09\", expect_size=\"12412928\"] \n  3 -> 5 [size =\"12412928\"]\n  3 -> 6 [size =\"12412928\"]\n  3 -> 9 [size =\"12412928\"]\n  4 [size=\"115962880\", alpha=\"0.13\", expect_size=\"46385152\"] \n  4 -> 5 [size =\"46385152\"]\n  4 -> 6 [size =\"46385152\"]\n  4 -> 7 [size =\"46385152\"]\n  4 -> 8 [size =\"46385152\"]\n  4 -> 9 [size =\"46385152\"]\n  4 -> 10 [size =\"46385152\"]\n  5 [size=\"99688960\", alpha=\"0.16\", expect_size=\"39875584\"] \n  5 -> 12 [size =\"39875584\"]\n  5 -> 12 [size =\"39875584\"]\n  5 -> 13 [size =\"39875584\"]\n  6 [size=\"69662720\", alpha=\"0.03\", expect_size=\"27865088\"] \n  6 -> 12 [size =\"27865088\"]\n  7 [size=\"78320640\", alpha=\"0.17\", expect_size=\"31328256\"] \n  7 -> 13 [size =\"31328256\"]\n  8 [size=\"73285120\", alpha=\"0.02\", expect_size=\"29314048\"] \n  8 -> 11 [size =\"29314048\"]\n  8 -> 13 [size =\"29314048\"]\n  9 [size=\"67909120\", alpha=\"0.16\", expect_size=\"27163648\"] \n  9 -> 11 [size =\"27163648\"]\n  9 -> 13 [size =\"27163648\"]\n  9 -> 14 [size =\"27163648\"]\n  10 [size=\"59136000\", alpha=\"0.17\", expect_size=\"23654400\"] \n  10 -> 11 [size =\"23654400\"]\n  10 -> 12 [size =\"23654400\"]\n  11 [size=\"120591360\", alpha=\"0.15\", expect_size=\"48236544\"] \n  11 -> 17 [size =\"48236544\"]\n  11 -> 18 [size =\"48236544\"]\n  11 -> 19 [size =\"48236544\"]\n  12 [size=\"80381440\", alpha=\"0.12\", expect_size=\"32152576\"] \n  12 -> 15 [size =\"32152576\"]\n  12 -> 16 [size =\"32152576\"]\n  12 -> 18 [size =\"32152576\"]\n  13 [size=\"70046720\", alpha=\"0.15\", expect_size=\"28018688\"] \n  13 -> 17 [size =\"28018688\"]\n  13 -> 18 [size =\"28018688\"]\n  13 -> 19 [size =\"28018688\"]\n  14 [size=\"124055040\", alpha=\"0.20\", expect_size=\"49622016\"] \n  14 -> 15 [size =\"49622016\"]\n  14 -> 16 [size =\"49622016\"]\n  14 -> 17 [size =\"49622016\"]\n  14 -> 18 [size =\"49622016\"]\n  14 -> 19 [size =\"49622016\"]\n  15 [size=\"79887360\", alpha=\"0.10\", expect_size=\"31954944\"] \n  15 -> 20 [size =\"31954944\"]\n  15 -> 22 [size =\"31954944\"]\n  15 -> 23 [size =\"31954944\"]\n  15 -> 25 [size =\"31954944\"]\n  16 [size=\"54773760\", alpha=\"0.11\", expect_size=\"21909504\"] \n  16 -> 20 [size =\"21909504\"]\n  16 -> 22 [size =\"21909504\"]\n  16 -> 23 [size =\"21909504\"]\n  16 -> 24 [size =\"21909504\"]\n  17 [size=\"69770240\", alpha=\"0.04\", expect_size=\"27908096\"] \n  17 -> 20 [size =\"27908096\"]\n  17 -> 24 [size =\"27908096\"]\n  18 [size=\"49559040\", alpha=\"0.16\", expect_size=\"19823616\"] \n  18 -> 20 [size =\"19823616\"]\n  18 -> 22 [size =\"19823616\"]\n  18 -> 23 [size =\"19823616\"]\n  18 -> 25 [size =\"19823616\"]\n  19 [size=\"62615040\", alpha=\"0.18\", expect_size=\"25046016\"] \n  19 -> 20 [size =\"25046016\"]\n  19 -> 21 [size =\"25046016\"]\n  19 -> 22 [size =\"25046016\"]\n  19 -> 23 [size =\"25046016\"]\n  19 -> 24 [size =\"25046016\"]\n  20 [size=\"39009280\", alpha=\"0.06\", expect_size=\"15603712\"] \n  20 -> 27 [size =\"15603712\"]\n  21 [size=\"22382080\", alpha=\"0.17\", expect_size=\"8952832\"] \n  21 -> 26 [size =\"8952832\"]\n  21 -> 27 [size =\"8952832\"]\n  22 [size=\"112366080\", alpha=\"0.18\", expect_size=\"44946432\"] \n  22 -> 26 [size =\"44946432\"]\n  22 -> 27 [size =\"44946432\"]\n  22 -> 28 [size =\"44946432\"]\n  23 [size=\"62302720\", alpha=\"0.03\", expect_size=\"24921088\"] \n  23 -> 26 [size =\"24921088\"]\n  23 -> 27 [size =\"24921088\"]\n  23 -> 29 [size =\"24921088\"]\n  24 [size=\"32980480\", alpha=\"0.05\", expect_size=\"13192192\"] \n  24 -> 26 [size =\"13192192\"]\n  24 -> 27 [size =\"13192192\"]\n  24 -> 28 [size =\"13192192\"]\n  25 [size=\"31823360\", alpha=\"0.02\", expect_size=\"12729344\"] \n  25 -> 28 [size =\"12729344\"]\n  26 [size=\"93178880\", alpha=\"0.09\", expect_size=\"37271552\"] \n  26 -> 30 [size =\"37271552\"]\n  27 [size=\"40931840\", alpha=\"0.06\", expect_size=\"16372736\"] \n  28 [size=\"66511360\", alpha=\"0.14\", expect_size=\"26604544\"] \n  29 [size=\"45585920\", alpha=\"0.11\", expect_size=\"18234368\"] \n  29 -> 31 [size =\"18234368\"]\n  29 -> 32 [size =\"18234368\"]\n  30 [size=\"35312640\", alpha=\"0.16\", expect_size=\"14125056\"] \n  30 -> 33 [size =\"14125056\"]\n  30 -> 34 [size =\"14125056\"]\n  30 -> 35 [size =\"14125056\"]\n  31 [size=\"70394880\", alpha=\"0.19\", expect_size=\"28157952\"] \n  31 -> 33 [size =\"28157952\"]\n  32 [size=\"51097600\", alpha=\"0.13\", expect_size=\"20439040\"] \n  32 -> 33 [size =\"20439040\"]\n  33 [size=\"41838080\", alpha=\"0.17\", expect_size=\"16735232\"] \n  34 [size=\"60541440\", alpha=\"0.00\", expect_size=\"24216576\"] \n  35 [size=\"92096000\", alpha=\"0.14\", expect_size=\"36838400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133072213\", alpha=\"0.03\", expect_size=\"39921664\"] \n  1 -> 2 [size =\"39921664\"]\n  2 [size=\"151193600\", alpha=\"0.04\", expect_size=\"45358080\"] \n  2 -> 3 [size =\"45358080\"]\n  3 [size=\"22702080\", alpha=\"0.17\", expect_size=\"6810624\"] \n  3 -> 4 [size =\"6810624\"]\n  4 [size=\"104779093\", alpha=\"0.19\", expect_size=\"31433728\"] \n  4 -> 5 [size =\"31433728\"]\n  5 [size=\"156381867\", alpha=\"0.12\", expect_size=\"46914560\"] \n  5 -> 6 [size =\"46914560\"]\n  6 [size=\"149719040\", alpha=\"0.15\", expect_size=\"44915712\"] \n  6 -> 7 [size =\"44915712\"]\n  7 [size=\"102959787\", alpha=\"0.05\", expect_size=\"30887936\"] \n  7 -> 8 [size =\"30887936\"]\n  8 [size=\"118319787\", alpha=\"0.06\", expect_size=\"35495936\"] \n  8 -> 9 [size =\"35495936\"]\n  9 [size=\"44062720\", alpha=\"0.03\", expect_size=\"13218816\"] \n  9 -> 10 [size =\"13218816\"]\n  10 [size=\"127317333\", alpha=\"0.02\", expect_size=\"38195200\"] \n  10 -> 11 [size =\"38195200\"]\n  11 [size=\"26961920\", alpha=\"0.16\", expect_size=\"8088576\"] \n  11 -> 12 [size =\"8088576\"]\n  12 [size=\"50083840\", alpha=\"0.05\", expect_size=\"15025152\"] \n  12 -> 13 [size =\"15025152\"]\n  13 [size=\"85425493\", alpha=\"0.12\", expect_size=\"25627648\"] \n  13 -> 14 [size =\"25627648\"]\n  14 [size=\"61156693\", alpha=\"0.11\", expect_size=\"18347008\"] \n  14 -> 15 [size =\"18347008\"]\n  15 [size=\"52899840\", alpha=\"0.19\", expect_size=\"15869952\"] \n  15 -> 16 [size =\"15869952\"]\n  16 [size=\"144254293\", alpha=\"0.04\", expect_size=\"43276288\"] \n  16 -> 17 [size =\"43276288\"]\n  17 [size=\"101638827\", alpha=\"0.15\", expect_size=\"30491648\"] \n  17 -> 18 [size =\"30491648\"]\n  18 [size=\"138936320\", alpha=\"0.14\", expect_size=\"41680896\"] \n  18 -> 19 [size =\"41680896\"]\n  19 [size=\"29180587\", alpha=\"0.07\", expect_size=\"8754176\"] \n  19 -> 20 [size =\"8754176\"]\n  20 [size=\"53899947\", alpha=\"0.09\", expect_size=\"16169984\"] \n  20 -> 21 [size =\"16169984\"]\n  21 [size=\"70468267\", alpha=\"0.05\", expect_size=\"21140480\"] \n  21 -> 22 [size =\"21140480\"]\n  22 [size=\"37959680\", alpha=\"0.19\", expect_size=\"11387904\"] \n  22 -> 23 [size =\"11387904\"]\n  23 [size=\"77547520\", alpha=\"0.13\", expect_size=\"23264256\"] \n  23 -> 24 [size =\"23264256\"]\n  24 [size=\"169652907\", alpha=\"0.18\", expect_size=\"50895872\"] \n  24 -> 25 [size =\"50895872\"]\n  25 [size=\"100696747\", alpha=\"0.01\", expect_size=\"30209024\"] \n  25 -> 26 [size =\"30209024\"]\n  26 [size=\"92231680\", alpha=\"0.00\", expect_size=\"27669504\"] \n  26 -> 27 [size =\"27669504\"]\n  27 [size=\"126713173\", alpha=\"0.11\", expect_size=\"38013952\"] \n  27 -> 28 [size =\"38013952\"]\n  28 [size=\"83537920\", alpha=\"0.14\", expect_size=\"25061376\"] \n  28 -> 29 [size =\"25061376\"]\n  29 [size=\"39168000\", alpha=\"0.01\", expect_size=\"11750400\"] \n  29 -> 30 [size =\"11750400\"]\n  30 [size=\"96481280\", alpha=\"0.02\", expect_size=\"28944384\"] \n  30 -> 31 [size =\"28944384\"]\n  31 [size=\"167034880\", alpha=\"0.03\", expect_size=\"50110464\"] \n  31 -> 32 [size =\"50110464\"]\n  32 [size=\"51858773\", alpha=\"0.09\", expect_size=\"15557632\"] \n  32 -> 33 [size =\"15557632\"]\n  33 [size=\"41953280\", alpha=\"0.04\", expect_size=\"12585984\"] \n  33 -> 34 [size =\"12585984\"]\n  34 [size=\"142547627\", alpha=\"0.04\", expect_size=\"42764288\"] \n  34 -> 35 [size =\"42764288\"]\n  35 [size=\"126375253\", alpha=\"0.09\", expect_size=\"37912576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99054933\", alpha=\"0.08\", expect_size=\"29716480\"] \n  1 -> 2 [size =\"29716480\"]\n  1 -> 3 [size =\"29716480\"]\n  2 [size=\"43905707\", alpha=\"0.01\", expect_size=\"13171712\"] \n  2 -> 4 [size =\"13171712\"]\n  3 [size=\"76847787\", alpha=\"0.05\", expect_size=\"23054336\"] \n  4 [size=\"149582507\", alpha=\"0.08\", expect_size=\"44874752\"] \n  4 -> 5 [size =\"44874752\"]\n  5 [size=\"70116693\", alpha=\"0.15\", expect_size=\"21035008\"] \n  5 -> 6 [size =\"21035008\"]\n  6 [size=\"28023467\", alpha=\"0.09\", expect_size=\"8407040\"] \n  6 -> 7 [size =\"8407040\"]\n  7 [size=\"170564267\", alpha=\"0.01\", expect_size=\"51169280\"] \n  7 -> 8 [size =\"51169280\"]\n  8 [size=\"170642773\", alpha=\"0.20\", expect_size=\"51192832\"] \n  8 -> 9 [size =\"51192832\"]\n  9 [size=\"169929387\", alpha=\"0.20\", expect_size=\"50978816\"] \n  9 -> 10 [size =\"50978816\"]\n  10 [size=\"48506880\", alpha=\"0.09\", expect_size=\"14552064\"] \n  10 -> 11 [size =\"14552064\"]\n  10 -> 12 [size =\"14552064\"]\n  11 [size=\"38007467\", alpha=\"0.06\", expect_size=\"11402240\"] \n  11 -> 13 [size =\"11402240\"]\n  12 [size=\"103406933\", alpha=\"0.11\", expect_size=\"31022080\"] \n  12 -> 13 [size =\"31022080\"]\n  13 [size=\"109578240\", alpha=\"0.07\", expect_size=\"32873472\"] \n  13 -> 14 [size =\"32873472\"]\n  13 -> 15 [size =\"32873472\"]\n  14 [size=\"145558187\", alpha=\"0.07\", expect_size=\"43667456\"] \n  14 -> 16 [size =\"43667456\"]\n  14 -> 17 [size =\"43667456\"]\n  15 [size=\"51114667\", alpha=\"0.11\", expect_size=\"15334400\"] \n  15 -> 16 [size =\"15334400\"]\n  15 -> 17 [size =\"15334400\"]\n  16 [size=\"171933013\", alpha=\"0.18\", expect_size=\"51579904\"] \n  16 -> 18 [size =\"51579904\"]\n  16 -> 19 [size =\"51579904\"]\n  17 [size=\"85794133\", alpha=\"0.18\", expect_size=\"25738240\"] \n  17 -> 18 [size =\"25738240\"]\n  17 -> 19 [size =\"25738240\"]\n  18 [size=\"95150080\", alpha=\"0.01\", expect_size=\"28545024\"] \n  18 -> 20 [size =\"28545024\"]\n  18 -> 21 [size =\"28545024\"]\n  19 [size=\"91224747\", alpha=\"0.19\", expect_size=\"27367424\"] \n  19 -> 20 [size =\"27367424\"]\n  19 -> 21 [size =\"27367424\"]\n  20 [size=\"88449707\", alpha=\"0.19\", expect_size=\"26534912\"] \n  20 -> 22 [size =\"26534912\"]\n  21 [size=\"155593387\", alpha=\"0.09\", expect_size=\"46678016\"] \n  21 -> 22 [size =\"46678016\"]\n  22 [size=\"44779520\", alpha=\"0.02\", expect_size=\"13433856\"] \n  22 -> 23 [size =\"13433856\"]\n  23 [size=\"128590507\", alpha=\"0.03\", expect_size=\"38577152\"] \n  23 -> 24 [size =\"38577152\"]\n  23 -> 25 [size =\"38577152\"]\n  24 [size=\"29672107\", alpha=\"0.01\", expect_size=\"8901632\"] \n  24 -> 26 [size =\"8901632\"]\n  24 -> 27 [size =\"8901632\"]\n  25 [size=\"86934187\", alpha=\"0.05\", expect_size=\"26080256\"] \n  25 -> 26 [size =\"26080256\"]\n  26 [size=\"173363200\", alpha=\"0.11\", expect_size=\"52008960\"] \n  26 -> 28 [size =\"52008960\"]\n  26 -> 29 [size =\"52008960\"]\n  27 [size=\"161034240\", alpha=\"0.16\", expect_size=\"48310272\"] \n  27 -> 28 [size =\"48310272\"]\n  27 -> 29 [size =\"48310272\"]\n  28 [size=\"145428480\", alpha=\"0.01\", expect_size=\"43628544\"] \n  28 -> 30 [size =\"43628544\"]\n  29 [size=\"153169920\", alpha=\"0.05\", expect_size=\"45950976\"] \n  29 -> 30 [size =\"45950976\"]\n  30 [size=\"145728853\", alpha=\"0.13\", expect_size=\"43718656\"] \n  30 -> 31 [size =\"43718656\"]\n  31 [size=\"135205547\", alpha=\"0.03\", expect_size=\"40561664\"] \n  31 -> 32 [size =\"40561664\"]\n  32 [size=\"45885440\", alpha=\"0.05\", expect_size=\"13765632\"] \n  32 -> 33 [size =\"13765632\"]\n  33 [size=\"61487787\", alpha=\"0.18\", expect_size=\"18446336\"] \n  33 -> 34 [size =\"18446336\"]\n  33 -> 35 [size =\"18446336\"]\n  34 [size=\"84104533\", alpha=\"0.08\", expect_size=\"25231360\"] \n  35 [size=\"88552107\", alpha=\"0.01\", expect_size=\"26565632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38621184\", alpha=\"0.00\", expect_size=\"19310592\"] \n  1 -> 30 [size =\"19310592\"]\n  1 -> 31 [size =\"19310592\"]\n  1 -> 32 [size =\"19310592\"]\n  1 -> 35 [size =\"19310592\"]\n  2 [size=\"21452800\", alpha=\"0.06\", expect_size=\"10726400\"] \n  2 -> 30 [size =\"10726400\"]\n  2 -> 31 [size =\"10726400\"]\n  2 -> 32 [size =\"10726400\"]\n  2 -> 33 [size =\"10726400\"]\n  2 -> 35 [size =\"10726400\"]\n  3 [size=\"103333888\", alpha=\"0.04\", expect_size=\"51666944\"] \n  3 -> 30 [size =\"51666944\"]\n  3 -> 31 [size =\"51666944\"]\n  3 -> 32 [size =\"51666944\"]\n  3 -> 33 [size =\"51666944\"]\n  4 [size=\"58884096\", alpha=\"0.14\", expect_size=\"29442048\"] \n  4 -> 28 [size =\"29442048\"]\n  4 -> 31 [size =\"29442048\"]\n  4 -> 32 [size =\"29442048\"]\n  5 [size=\"19529728\", alpha=\"0.11\", expect_size=\"9764864\"] \n  5 -> 28 [size =\"9764864\"]\n  5 -> 29 [size =\"9764864\"]\n  5 -> 30 [size =\"9764864\"]\n  5 -> 32 [size =\"9764864\"]\n  5 -> 34 [size =\"9764864\"]\n  6 [size=\"100167680\", alpha=\"0.12\", expect_size=\"50083840\"] \n  6 -> 27 [size =\"50083840\"]\n  6 -> 29 [size =\"50083840\"]\n  6 -> 30 [size =\"50083840\"]\n  6 -> 31 [size =\"50083840\"]\n  6 -> 32 [size =\"50083840\"]\n  7 [size=\"25499648\", alpha=\"0.10\", expect_size=\"12749824\"] \n  7 -> 30 [size =\"12749824\"]\n  7 -> 31 [size =\"12749824\"]\n  7 -> 32 [size =\"12749824\"]\n  7 -> 33 [size =\"12749824\"]\n  8 [size=\"76060672\", alpha=\"0.10\", expect_size=\"38030336\"] \n  8 -> 31 [size =\"38030336\"]\n  8 -> 32 [size =\"38030336\"]\n  8 -> 32 [size =\"38030336\"]\n  8 -> 33 [size =\"38030336\"]\n  8 -> 35 [size =\"38030336\"]\n  9 [size=\"85735424\", alpha=\"0.07\", expect_size=\"42867712\"] \n  9 -> 29 [size =\"42867712\"]\n  9 -> 31 [size =\"42867712\"]\n  9 -> 33 [size =\"42867712\"]\n  9 -> 34 [size =\"42867712\"]\n  9 -> 35 [size =\"42867712\"]\n  10 [size=\"45946880\", alpha=\"0.06\", expect_size=\"22973440\"] \n  10 -> 31 [size =\"22973440\"]\n  10 -> 31 [size =\"22973440\"]\n  10 -> 33 [size =\"22973440\"]\n  10 -> 34 [size =\"22973440\"]\n  11 [size=\"39227392\", alpha=\"0.18\", expect_size=\"19613696\"] \n  11 -> 28 [size =\"19613696\"]\n  11 -> 30 [size =\"19613696\"]\n  11 -> 34 [size =\"19613696\"]\n  11 -> 35 [size =\"19613696\"]\n  12 [size=\"41580544\", alpha=\"0.03\", expect_size=\"20790272\"] \n  12 -> 28 [size =\"20790272\"]\n  12 -> 30 [size =\"20790272\"]\n  12 -> 34 [size =\"20790272\"]\n  13 [size=\"68501504\", alpha=\"0.01\", expect_size=\"34250752\"] \n  13 -> 28 [size =\"34250752\"]\n  13 -> 29 [size =\"34250752\"]\n  13 -> 30 [size =\"34250752\"]\n  13 -> 32 [size =\"34250752\"]\n  14 [size=\"88231936\", alpha=\"0.05\", expect_size=\"44115968\"] \n  14 -> 28 [size =\"44115968\"]\n  14 -> 29 [size =\"44115968\"]\n  14 -> 30 [size =\"44115968\"]\n  14 -> 34 [size =\"44115968\"]\n  15 [size=\"61331456\", alpha=\"0.14\", expect_size=\"30665728\"] \n  15 -> 28 [size =\"30665728\"]\n  15 -> 29 [size =\"30665728\"]\n  15 -> 31 [size =\"30665728\"]\n  15 -> 33 [size =\"30665728\"]\n  15 -> 35 [size =\"30665728\"]\n  16 [size=\"17737728\", alpha=\"0.11\", expect_size=\"8868864\"] \n  16 -> 28 [size =\"8868864\"]\n  16 -> 29 [size =\"8868864\"]\n  16 -> 31 [size =\"8868864\"]\n  16 -> 33 [size =\"8868864\"]\n  17 [size=\"73017344\", alpha=\"0.18\", expect_size=\"36508672\"] \n  17 -> 28 [size =\"36508672\"]\n  17 -> 29 [size =\"36508672\"]\n  17 -> 30 [size =\"36508672\"]\n  17 -> 32 [size =\"36508672\"]\n  17 -> 33 [size =\"36508672\"]\n  18 [size=\"25026560\", alpha=\"0.07\", expect_size=\"12513280\"] \n  18 -> 28 [size =\"12513280\"]\n  18 -> 29 [size =\"12513280\"]\n  18 -> 31 [size =\"12513280\"]\n  18 -> 35 [size =\"12513280\"]\n  19 [size=\"71133184\", alpha=\"0.13\", expect_size=\"35566592\"] \n  19 -> 27 [size =\"35566592\"]\n  19 -> 28 [size =\"35566592\"]\n  19 -> 29 [size =\"35566592\"]\n  19 -> 31 [size =\"35566592\"]\n  20 [size=\"11419648\", alpha=\"0.09\", expect_size=\"5709824\"] \n  20 -> 28 [size =\"5709824\"]\n  20 -> 28 [size =\"5709824\"]\n  20 -> 29 [size =\"5709824\"]\n  20 -> 32 [size =\"5709824\"]\n  20 -> 35 [size =\"5709824\"]\n  21 [size=\"39446528\", alpha=\"0.11\", expect_size=\"19723264\"] \n  21 -> 28 [size =\"19723264\"]\n  21 -> 32 [size =\"19723264\"]\n  21 -> 33 [size =\"19723264\"]\n  22 [size=\"30375936\", alpha=\"0.15\", expect_size=\"15187968\"] \n  22 -> 28 [size =\"15187968\"]\n  22 -> 29 [size =\"15187968\"]\n  22 -> 31 [size =\"15187968\"]\n  22 -> 33 [size =\"15187968\"]\n  23 [size=\"42256384\", alpha=\"0.19\", expect_size=\"21128192\"] \n  23 -> 28 [size =\"21128192\"]\n  23 -> 29 [size =\"21128192\"]\n  23 -> 30 [size =\"21128192\"]\n  23 -> 31 [size =\"21128192\"]\n  23 -> 32 [size =\"21128192\"]\n  24 [size=\"45457408\", alpha=\"0.13\", expect_size=\"22728704\"] \n  24 -> 28 [size =\"22728704\"]\n  24 -> 29 [size =\"22728704\"]\n  24 -> 30 [size =\"22728704\"]\n  24 -> 31 [size =\"22728704\"]\n  24 -> 33 [size =\"22728704\"]\n  24 -> 34 [size =\"22728704\"]\n  24 -> 35 [size =\"22728704\"]\n  25 [size=\"69083136\", alpha=\"0.09\", expect_size=\"34541568\"] \n  25 -> 28 [size =\"34541568\"]\n  25 -> 29 [size =\"34541568\"]\n  25 -> 30 [size =\"34541568\"]\n  25 -> 31 [size =\"34541568\"]\n  25 -> 32 [size =\"34541568\"]\n  26 [size=\"38807552\", alpha=\"0.04\", expect_size=\"19403776\"] \n  26 -> 29 [size =\"19403776\"]\n  26 -> 31 [size =\"19403776\"]\n  26 -> 32 [size =\"19403776\"]\n  26 -> 33 [size =\"19403776\"]\n  26 -> 34 [size =\"19403776\"]\n  27 [size=\"92786688\", alpha=\"0.02\", expect_size=\"46393344\"] \n  28 [size=\"85366784\", alpha=\"0.14\", expect_size=\"42683392\"] \n  29 [size=\"22054912\", alpha=\"0.02\", expect_size=\"11027456\"] \n  30 [size=\"83761152\", alpha=\"0.18\", expect_size=\"41880576\"] \n  31 [size=\"31488000\", alpha=\"0.19\", expect_size=\"15744000\"] \n  32 [size=\"82114560\", alpha=\"0.07\", expect_size=\"41057280\"] \n  33 [size=\"57868288\", alpha=\"0.08\", expect_size=\"28934144\"] \n  34 [size=\"51597312\", alpha=\"0.05\", expect_size=\"25798656\"] \n  35 [size=\"17326080\", alpha=\"0.13\", expect_size=\"8663040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32320853\", alpha=\"0.05\", expect_size=\"9696256\"] \n  1 -> 6 [size =\"9696256\"]\n  1 -> 7 [size =\"9696256\"]\n  1 -> 8 [size =\"9696256\"]\n  2 [size=\"149026133\", alpha=\"0.06\", expect_size=\"44707840\"] \n  2 -> 8 [size =\"44707840\"]\n  3 [size=\"29904213\", alpha=\"0.08\", expect_size=\"8971264\"] \n  3 -> 6 [size =\"8971264\"]\n  3 -> 9 [size =\"8971264\"]\n  4 [size=\"92839253\", alpha=\"0.18\", expect_size=\"27851776\"] \n  4 -> 7 [size =\"27851776\"]\n  5 [size=\"65372160\", alpha=\"0.08\", expect_size=\"19611648\"] \n  5 -> 6 [size =\"19611648\"]\n  5 -> 7 [size =\"19611648\"]\n  5 -> 8 [size =\"19611648\"]\n  6 [size=\"86415360\", alpha=\"0.09\", expect_size=\"25924608\"] \n  6 -> 10 [size =\"25924608\"]\n  6 -> 14 [size =\"25924608\"]\n  7 [size=\"130512213\", alpha=\"0.01\", expect_size=\"39153664\"] \n  7 -> 11 [size =\"39153664\"]\n  7 -> 12 [size =\"39153664\"]\n  7 -> 13 [size =\"39153664\"]\n  7 -> 14 [size =\"39153664\"]\n  8 [size=\"97041067\", alpha=\"0.14\", expect_size=\"29112320\"] \n  8 -> 10 [size =\"29112320\"]\n  8 -> 11 [size =\"29112320\"]\n  8 -> 12 [size =\"29112320\"]\n  9 [size=\"137256960\", alpha=\"0.19\", expect_size=\"41177088\"] \n  9 -> 10 [size =\"41177088\"]\n  9 -> 11 [size =\"41177088\"]\n  9 -> 12 [size =\"41177088\"]\n  10 [size=\"120545280\", alpha=\"0.18\", expect_size=\"36163584\"] \n  10 -> 15 [size =\"36163584\"]\n  11 [size=\"22418773\", alpha=\"0.19\", expect_size=\"6725632\"] \n  11 -> 15 [size =\"6725632\"]\n  11 -> 18 [size =\"6725632\"]\n  12 [size=\"58405547\", alpha=\"0.10\", expect_size=\"17521664\"] \n  12 -> 15 [size =\"17521664\"]\n  12 -> 16 [size =\"17521664\"]\n  12 -> 17 [size =\"17521664\"]\n  12 -> 18 [size =\"17521664\"]\n  13 [size=\"108615680\", alpha=\"0.16\", expect_size=\"32584704\"] \n  13 -> 15 [size =\"32584704\"]\n  13 -> 17 [size =\"32584704\"]\n  13 -> 18 [size =\"32584704\"]\n  13 -> 18 [size =\"32584704\"]\n  14 [size=\"171820373\", alpha=\"0.12\", expect_size=\"51546112\"] \n  14 -> 15 [size =\"51546112\"]\n  14 -> 16 [size =\"51546112\"]\n  14 -> 17 [size =\"51546112\"]\n  15 [size=\"157631147\", alpha=\"0.11\", expect_size=\"47289344\"] \n  15 -> 19 [size =\"47289344\"]\n  15 -> 21 [size =\"47289344\"]\n  15 -> 22 [size =\"47289344\"]\n  15 -> 23 [size =\"47289344\"]\n  16 [size=\"62798507\", alpha=\"0.08\", expect_size=\"18839552\"] \n  16 -> 19 [size =\"18839552\"]\n  16 -> 21 [size =\"18839552\"]\n  16 -> 23 [size =\"18839552\"]\n  17 [size=\"133041493\", alpha=\"0.02\", expect_size=\"39912448\"] \n  17 -> 19 [size =\"39912448\"]\n  17 -> 20 [size =\"39912448\"]\n  17 -> 21 [size =\"39912448\"]\n  17 -> 22 [size =\"39912448\"]\n  17 -> 23 [size =\"39912448\"]\n  18 [size=\"141062827\", alpha=\"0.03\", expect_size=\"42318848\"] \n  18 -> 19 [size =\"42318848\"]\n  18 -> 20 [size =\"42318848\"]\n  18 -> 21 [size =\"42318848\"]\n  18 -> 22 [size =\"42318848\"]\n  19 [size=\"93306880\", alpha=\"0.01\", expect_size=\"27992064\"] \n  19 -> 26 [size =\"27992064\"]\n  19 -> 26 [size =\"27992064\"]\n  19 -> 28 [size =\"27992064\"]\n  20 [size=\"84206933\", alpha=\"0.11\", expect_size=\"25262080\"] \n  20 -> 28 [size =\"25262080\"]\n  21 [size=\"66034347\", alpha=\"0.02\", expect_size=\"19810304\"] \n  21 -> 24 [size =\"19810304\"]\n  21 -> 26 [size =\"19810304\"]\n  21 -> 28 [size =\"19810304\"]\n  22 [size=\"59688960\", alpha=\"0.10\", expect_size=\"17906688\"] \n  22 -> 24 [size =\"17906688\"]\n  22 -> 26 [size =\"17906688\"]\n  22 -> 27 [size =\"17906688\"]\n  22 -> 28 [size =\"17906688\"]\n  23 [size=\"134577493\", alpha=\"0.00\", expect_size=\"40373248\"] \n  23 -> 25 [size =\"40373248\"]\n  23 -> 26 [size =\"40373248\"]\n  23 -> 27 [size =\"40373248\"]\n  23 -> 28 [size =\"40373248\"]\n  24 [size=\"106444800\", alpha=\"0.20\", expect_size=\"31933440\"] \n  24 -> 29 [size =\"31933440\"]\n  24 -> 30 [size =\"31933440\"]\n  24 -> 31 [size =\"31933440\"]\n  24 -> 32 [size =\"31933440\"]\n  25 [size=\"43021653\", alpha=\"0.05\", expect_size=\"12906496\"] \n  25 -> 29 [size =\"12906496\"]\n  25 -> 32 [size =\"12906496\"]\n  25 -> 33 [size =\"12906496\"]\n  26 [size=\"129611093\", alpha=\"0.19\", expect_size=\"38883328\"] \n  26 -> 29 [size =\"38883328\"]\n  26 -> 30 [size =\"38883328\"]\n  26 -> 31 [size =\"38883328\"]\n  26 -> 32 [size =\"38883328\"]\n  27 [size=\"37242880\", alpha=\"0.08\", expect_size=\"11172864\"] \n  27 -> 29 [size =\"11172864\"]\n  27 -> 32 [size =\"11172864\"]\n  28 [size=\"56620373\", alpha=\"0.06\", expect_size=\"16986112\"] \n  28 -> 31 [size =\"16986112\"]\n  28 -> 32 [size =\"16986112\"]\n  28 -> 33 [size =\"16986112\"]\n  29 [size=\"78888960\", alpha=\"0.00\", expect_size=\"23666688\"] \n  29 -> 35 [size =\"23666688\"]\n  30 [size=\"88756907\", alpha=\"0.07\", expect_size=\"26627072\"] \n  30 -> 34 [size =\"26627072\"]\n  30 -> 35 [size =\"26627072\"]\n  31 [size=\"173878613\", alpha=\"0.15\", expect_size=\"52163584\"] \n  31 -> 34 [size =\"52163584\"]\n  32 [size=\"34532693\", alpha=\"0.08\", expect_size=\"10359808\"] \n  33 [size=\"116838400\", alpha=\"0.12\", expect_size=\"35051520\"] \n  34 [size=\"118654293\", alpha=\"0.17\", expect_size=\"35596288\"] \n  35 [size=\"115346773\", alpha=\"0.18\", expect_size=\"34604032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91787947\", alpha=\"0.03\", expect_size=\"27536384\"] \n  1 -> 2 [size =\"27536384\"]\n  2 [size=\"165072213\", alpha=\"0.18\", expect_size=\"49521664\"] \n  2 -> 3 [size =\"49521664\"]\n  3 [size=\"125395627\", alpha=\"0.05\", expect_size=\"37618688\"] \n  3 -> 4 [size =\"37618688\"]\n  4 [size=\"34662400\", alpha=\"0.20\", expect_size=\"10398720\"] \n  4 -> 5 [size =\"10398720\"]\n  5 [size=\"76496213\", alpha=\"0.03\", expect_size=\"22948864\"] \n  5 -> 6 [size =\"22948864\"]\n  6 [size=\"113469440\", alpha=\"0.15\", expect_size=\"34040832\"] \n  6 -> 7 [size =\"34040832\"]\n  7 [size=\"161474560\", alpha=\"0.11\", expect_size=\"48442368\"] \n  7 -> 8 [size =\"48442368\"]\n  8 [size=\"68491947\", alpha=\"0.13\", expect_size=\"20547584\"] \n  8 -> 9 [size =\"20547584\"]\n  9 [size=\"27760640\", alpha=\"0.08\", expect_size=\"8328192\"] \n  9 -> 10 [size =\"8328192\"]\n  10 [size=\"122890240\", alpha=\"0.14\", expect_size=\"36867072\"] \n  10 -> 11 [size =\"36867072\"]\n  11 [size=\"43096747\", alpha=\"0.19\", expect_size=\"12929024\"] \n  11 -> 12 [size =\"12929024\"]\n  12 [size=\"68157440\", alpha=\"0.08\", expect_size=\"20447232\"] \n  12 -> 13 [size =\"20447232\"]\n  13 [size=\"53456213\", alpha=\"0.11\", expect_size=\"16036864\"] \n  13 -> 14 [size =\"16036864\"]\n  14 [size=\"89415680\", alpha=\"0.14\", expect_size=\"26824704\"] \n  14 -> 15 [size =\"26824704\"]\n  15 [size=\"88838827\", alpha=\"0.08\", expect_size=\"26651648\"] \n  15 -> 16 [size =\"26651648\"]\n  16 [size=\"114367147\", alpha=\"0.11\", expect_size=\"34310144\"] \n  16 -> 17 [size =\"34310144\"]\n  17 [size=\"71717547\", alpha=\"0.07\", expect_size=\"21515264\"] \n  17 -> 18 [size =\"21515264\"]\n  18 [size=\"159006720\", alpha=\"0.07\", expect_size=\"47702016\"] \n  18 -> 19 [size =\"47702016\"]\n  19 [size=\"105748480\", alpha=\"0.18\", expect_size=\"31724544\"] \n  19 -> 20 [size =\"31724544\"]\n  20 [size=\"171322027\", alpha=\"0.04\", expect_size=\"51396608\"] \n  20 -> 21 [size =\"51396608\"]\n  21 [size=\"121053867\", alpha=\"0.19\", expect_size=\"36316160\"] \n  21 -> 22 [size =\"36316160\"]\n  22 [size=\"112015360\", alpha=\"0.14\", expect_size=\"33604608\"] \n  22 -> 23 [size =\"33604608\"]\n  23 [size=\"19135147\", alpha=\"0.01\", expect_size=\"5740544\"] \n  23 -> 24 [size =\"5740544\"]\n  24 [size=\"103393280\", alpha=\"0.11\", expect_size=\"31017984\"] \n  24 -> 25 [size =\"31017984\"]\n  25 [size=\"59811840\", alpha=\"0.09\", expect_size=\"17943552\"] \n  25 -> 26 [size =\"17943552\"]\n  26 [size=\"125262507\", alpha=\"0.19\", expect_size=\"37578752\"] \n  26 -> 27 [size =\"37578752\"]\n  27 [size=\"55487147\", alpha=\"0.07\", expect_size=\"16646144\"] \n  27 -> 28 [size =\"16646144\"]\n  28 [size=\"114397867\", alpha=\"0.01\", expect_size=\"34319360\"] \n  28 -> 29 [size =\"34319360\"]\n  29 [size=\"165932373\", alpha=\"0.17\", expect_size=\"49779712\"] \n  29 -> 30 [size =\"49779712\"]\n  30 [size=\"151855787\", alpha=\"0.06\", expect_size=\"45556736\"] \n  30 -> 31 [size =\"45556736\"]\n  31 [size=\"26726400\", alpha=\"0.19\", expect_size=\"8017920\"] \n  31 -> 32 [size =\"8017920\"]\n  32 [size=\"22142293\", alpha=\"0.18\", expect_size=\"6642688\"] \n  32 -> 33 [size =\"6642688\"]\n  33 [size=\"128423253\", alpha=\"0.01\", expect_size=\"38526976\"] \n  33 -> 34 [size =\"38526976\"]\n  34 [size=\"138909013\", alpha=\"0.14\", expect_size=\"41672704\"] \n  34 -> 35 [size =\"41672704\"]\n  35 [size=\"70795947\", alpha=\"0.15\", expect_size=\"21238784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122713600\", alpha=\"0.17\", expect_size=\"49085440\"] \n  1 -> 3 [size =\"49085440\"]\n  1 -> 4 [size =\"49085440\"]\n  2 [size=\"20815360\", alpha=\"0.19\", expect_size=\"8326144\"] \n  2 -> 3 [size =\"8326144\"]\n  2 -> 4 [size =\"8326144\"]\n  3 [size=\"44986880\", alpha=\"0.10\", expect_size=\"17994752\"] \n  3 -> 5 [size =\"17994752\"]\n  3 -> 6 [size =\"17994752\"]\n  4 [size=\"34324480\", alpha=\"0.01\", expect_size=\"13729792\"] \n  4 -> 5 [size =\"13729792\"]\n  4 -> 6 [size =\"13729792\"]\n  5 [size=\"49863680\", alpha=\"0.08\", expect_size=\"19945472\"] \n  5 -> 7 [size =\"19945472\"]\n  5 -> 8 [size =\"19945472\"]\n  6 [size=\"56744960\", alpha=\"0.17\", expect_size=\"22697984\"] \n  6 -> 7 [size =\"22697984\"]\n  7 [size=\"88483840\", alpha=\"0.19\", expect_size=\"35393536\"] \n  7 -> 9 [size =\"35393536\"]\n  8 [size=\"32926720\", alpha=\"0.13\", expect_size=\"13170688\"] \n  8 -> 9 [size =\"13170688\"]\n  9 [size=\"48427520\", alpha=\"0.14\", expect_size=\"19371008\"] \n  9 -> 10 [size =\"19371008\"]\n  9 -> 11 [size =\"19371008\"]\n  10 [size=\"55590400\", alpha=\"0.17\", expect_size=\"22236160\"] \n  11 [size=\"21662720\", alpha=\"0.13\", expect_size=\"8665088\"] \n  11 -> 12 [size =\"8665088\"]\n  12 [size=\"124113920\", alpha=\"0.13\", expect_size=\"49645568\"] \n  12 -> 13 [size =\"49645568\"]\n  13 [size=\"115430400\", alpha=\"0.03\", expect_size=\"46172160\"] \n  13 -> 14 [size =\"46172160\"]\n  14 [size=\"57144320\", alpha=\"0.05\", expect_size=\"22857728\"] \n  14 -> 15 [size =\"22857728\"]\n  15 [size=\"61017600\", alpha=\"0.06\", expect_size=\"24407040\"] \n  15 -> 16 [size =\"24407040\"]\n  16 [size=\"110571520\", alpha=\"0.13\", expect_size=\"44228608\"] \n  16 -> 17 [size =\"44228608\"]\n  16 -> 18 [size =\"44228608\"]\n  17 [size=\"91110400\", alpha=\"0.00\", expect_size=\"36444160\"] \n  17 -> 19 [size =\"36444160\"]\n  18 [size=\"86164480\", alpha=\"0.18\", expect_size=\"34465792\"] \n  19 [size=\"44088320\", alpha=\"0.07\", expect_size=\"17635328\"] \n  19 -> 20 [size =\"17635328\"]\n  19 -> 21 [size =\"17635328\"]\n  20 [size=\"125975040\", alpha=\"0.08\", expect_size=\"50390016\"] \n  20 -> 22 [size =\"50390016\"]\n  20 -> 23 [size =\"50390016\"]\n  21 [size=\"110392320\", alpha=\"0.07\", expect_size=\"44156928\"] \n  21 -> 22 [size =\"44156928\"]\n  21 -> 23 [size =\"44156928\"]\n  22 [size=\"69401600\", alpha=\"0.08\", expect_size=\"27760640\"] \n  22 -> 24 [size =\"27760640\"]\n  22 -> 25 [size =\"27760640\"]\n  23 [size=\"28116480\", alpha=\"0.14\", expect_size=\"11246592\"] \n  23 -> 24 [size =\"11246592\"]\n  23 -> 25 [size =\"11246592\"]\n  24 [size=\"44495360\", alpha=\"0.04\", expect_size=\"17798144\"] \n  24 -> 26 [size =\"17798144\"]\n  25 [size=\"73108480\", alpha=\"0.20\", expect_size=\"29243392\"] \n  25 -> 26 [size =\"29243392\"]\n  26 [size=\"107166720\", alpha=\"0.03\", expect_size=\"42866688\"] \n  26 -> 27 [size =\"42866688\"]\n  26 -> 28 [size =\"42866688\"]\n  27 [size=\"66296320\", alpha=\"0.19\", expect_size=\"26518528\"] \n  27 -> 29 [size =\"26518528\"]\n  28 [size=\"66918400\", alpha=\"0.19\", expect_size=\"26767360\"] \n  28 -> 29 [size =\"26767360\"]\n  29 [size=\"55831040\", alpha=\"0.04\", expect_size=\"22332416\"] \n  29 -> 30 [size =\"22332416\"]\n  30 [size=\"96803840\", alpha=\"0.17\", expect_size=\"38721536\"] \n  30 -> 31 [size =\"38721536\"]\n  30 -> 32 [size =\"38721536\"]\n  31 [size=\"24599040\", alpha=\"0.11\", expect_size=\"9839616\"] \n  31 -> 33 [size =\"9839616\"]\n  32 [size=\"66787840\", alpha=\"0.04\", expect_size=\"26715136\"] \n  32 -> 33 [size =\"26715136\"]\n  33 [size=\"113116160\", alpha=\"0.14\", expect_size=\"45246464\"] \n  33 -> 34 [size =\"45246464\"]\n  33 -> 35 [size =\"45246464\"]\n  34 [size=\"77501440\", alpha=\"0.12\", expect_size=\"31000576\"] \n  35 [size=\"99125760\", alpha=\"0.18\", expect_size=\"39650304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111009280\", alpha=\"0.02\", expect_size=\"44403712\"] \n  2 [size=\"35438080\", alpha=\"0.17\", expect_size=\"14175232\"] \n  3 [size=\"25592320\", alpha=\"0.10\", expect_size=\"10236928\"] \n  4 [size=\"37908480\", alpha=\"0.13\", expect_size=\"15163392\"] \n  5 [size=\"106595840\", alpha=\"0.14\", expect_size=\"42638336\"] \n  6 [size=\"85806080\", alpha=\"0.01\", expect_size=\"34322432\"] \n  7 [size=\"20444160\", alpha=\"0.07\", expect_size=\"8177664\"] \n  8 [size=\"72066560\", alpha=\"0.12\", expect_size=\"28826624\"] \n  9 [size=\"111925760\", alpha=\"0.06\", expect_size=\"44770304\"] \n  10 [size=\"86932480\", alpha=\"0.18\", expect_size=\"34772992\"] \n  11 [size=\"85401600\", alpha=\"0.01\", expect_size=\"34160640\"] \n  12 [size=\"98076160\", alpha=\"0.15\", expect_size=\"39230464\"] \n  13 [size=\"80430080\", alpha=\"0.19\", expect_size=\"32172032\"] \n  14 [size=\"22016000\", alpha=\"0.08\", expect_size=\"8806400\"] \n  15 [size=\"99496960\", alpha=\"0.06\", expect_size=\"39798784\"] \n  16 [size=\"61422080\", alpha=\"0.13\", expect_size=\"24568832\"] \n  17 [size=\"66501120\", alpha=\"0.01\", expect_size=\"26600448\"] \n  18 [size=\"106273280\", alpha=\"0.13\", expect_size=\"42509312\"] \n  19 [size=\"61186560\", alpha=\"0.15\", expect_size=\"24474624\"] \n  20 [size=\"97379840\", alpha=\"0.11\", expect_size=\"38951936\"] \n  21 [size=\"83688960\", alpha=\"0.03\", expect_size=\"33475584\"] \n  22 [size=\"89280000\", alpha=\"0.19\", expect_size=\"35712000\"] \n  23 [size=\"62318080\", alpha=\"0.17\", expect_size=\"24927232\"] \n  24 [size=\"57937920\", alpha=\"0.20\", expect_size=\"23175168\"] \n  25 [size=\"107834880\", alpha=\"0.18\", expect_size=\"43133952\"] \n  26 [size=\"26833920\", alpha=\"0.08\", expect_size=\"10733568\"] \n  27 [size=\"105623040\", alpha=\"0.00\", expect_size=\"42249216\"] \n  28 [size=\"111247360\", alpha=\"0.02\", expect_size=\"44498944\"] \n  29 [size=\"67906560\", alpha=\"0.00\", expect_size=\"27162624\"] \n  30 [size=\"39214080\", alpha=\"0.11\", expect_size=\"15685632\"] \n  31 [size=\"102796800\", alpha=\"0.15\", expect_size=\"41118720\"] \n  32 [size=\"120629760\", alpha=\"0.12\", expect_size=\"48251904\"] \n  33 [size=\"115046400\", alpha=\"0.01\", expect_size=\"46018560\"] \n  34 [size=\"98529280\", alpha=\"0.12\", expect_size=\"39411712\"] \n  35 [size=\"95884800\", alpha=\"0.17\", expect_size=\"38353920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43912533\", alpha=\"0.18\", expect_size=\"13173760\"] \n  1 -> 16 [size =\"13173760\"]\n  1 -> 17 [size =\"13173760\"]\n  1 -> 20 [size =\"13173760\"]\n  1 -> 22 [size =\"13173760\"]\n  1 -> 23 [size =\"13173760\"]\n  1 -> 24 [size =\"13173760\"]\n  1 -> 25 [size =\"13173760\"]\n  2 [size=\"34839893\", alpha=\"0.19\", expect_size=\"10451968\"] \n  2 -> 15 [size =\"10451968\"]\n  2 -> 18 [size =\"10451968\"]\n  2 -> 19 [size =\"10451968\"]\n  2 -> 20 [size =\"10451968\"]\n  2 -> 23 [size =\"10451968\"]\n  3 [size=\"109578240\", alpha=\"0.06\", expect_size=\"32873472\"] \n  3 -> 16 [size =\"32873472\"]\n  3 -> 18 [size =\"32873472\"]\n  3 -> 25 [size =\"32873472\"]\n  3 -> 27 [size =\"32873472\"]\n  4 [size=\"163287040\", alpha=\"0.01\", expect_size=\"48986112\"] \n  4 -> 15 [size =\"48986112\"]\n  4 -> 18 [size =\"48986112\"]\n  4 -> 24 [size =\"48986112\"]\n  5 [size=\"112797013\", alpha=\"0.11\", expect_size=\"33839104\"] \n  5 -> 16 [size =\"33839104\"]\n  5 -> 18 [size =\"33839104\"]\n  5 -> 20 [size =\"33839104\"]\n  5 -> 24 [size =\"33839104\"]\n  6 [size=\"86510933\", alpha=\"0.15\", expect_size=\"25953280\"] \n  6 -> 15 [size =\"25953280\"]\n  6 -> 16 [size =\"25953280\"]\n  6 -> 18 [size =\"25953280\"]\n  6 -> 23 [size =\"25953280\"]\n  6 -> 25 [size =\"25953280\"]\n  6 -> 27 [size =\"25953280\"]\n  7 [size=\"62136320\", alpha=\"0.03\", expect_size=\"18640896\"] \n  7 -> 23 [size =\"18640896\"]\n  7 -> 24 [size =\"18640896\"]\n  7 -> 26 [size =\"18640896\"]\n  8 [size=\"56087893\", alpha=\"0.20\", expect_size=\"16826368\"] \n  8 -> 18 [size =\"16826368\"]\n  8 -> 19 [size =\"16826368\"]\n  8 -> 20 [size =\"16826368\"]\n  8 -> 23 [size =\"16826368\"]\n  9 [size=\"157463893\", alpha=\"0.18\", expect_size=\"47239168\"] \n  9 -> 15 [size =\"47239168\"]\n  9 -> 18 [size =\"47239168\"]\n  9 -> 23 [size =\"47239168\"]\n  10 [size=\"131041280\", alpha=\"0.13\", expect_size=\"39312384\"] \n  10 -> 16 [size =\"39312384\"]\n  10 -> 22 [size =\"39312384\"]\n  10 -> 25 [size =\"39312384\"]\n  11 [size=\"86927360\", alpha=\"0.13\", expect_size=\"26078208\"] \n  11 -> 16 [size =\"26078208\"]\n  11 -> 18 [size =\"26078208\"]\n  11 -> 20 [size =\"26078208\"]\n  11 -> 22 [size =\"26078208\"]\n  11 -> 27 [size =\"26078208\"]\n  12 [size=\"68560213\", alpha=\"0.15\", expect_size=\"20568064\"] \n  12 -> 17 [size =\"20568064\"]\n  12 -> 20 [size =\"20568064\"]\n  12 -> 22 [size =\"20568064\"]\n  13 [size=\"57309867\", alpha=\"0.11\", expect_size=\"17192960\"] \n  13 -> 16 [size =\"17192960\"]\n  13 -> 20 [size =\"17192960\"]\n  13 -> 21 [size =\"17192960\"]\n  13 -> 26 [size =\"17192960\"]\n  14 [size=\"105925973\", alpha=\"0.14\", expect_size=\"31777792\"] \n  14 -> 15 [size =\"31777792\"]\n  14 -> 17 [size =\"31777792\"]\n  14 -> 20 [size =\"31777792\"]\n  14 -> 22 [size =\"31777792\"]\n  14 -> 24 [size =\"31777792\"]\n  14 -> 25 [size =\"31777792\"]\n  14 -> 27 [size =\"31777792\"]\n  15 [size=\"110684160\", alpha=\"0.04\", expect_size=\"33205248\"] \n  15 -> 31 [size =\"33205248\"]\n  15 -> 35 [size =\"33205248\"]\n  16 [size=\"42519893\", alpha=\"0.01\", expect_size=\"12755968\"] \n  17 [size=\"159057920\", alpha=\"0.14\", expect_size=\"47717376\"] \n  17 -> 31 [size =\"47717376\"]\n  18 [size=\"28149760\", alpha=\"0.10\", expect_size=\"8444928\"] \n  18 -> 28 [size =\"8444928\"]\n  18 -> 30 [size =\"8444928\"]\n  18 -> 31 [size =\"8444928\"]\n  18 -> 32 [size =\"8444928\"]\n  19 [size=\"25081173\", alpha=\"0.03\", expect_size=\"7524352\"] \n  19 -> 30 [size =\"7524352\"]\n  19 -> 32 [size =\"7524352\"]\n  20 [size=\"165509120\", alpha=\"0.11\", expect_size=\"49652736\"] \n  20 -> 30 [size =\"49652736\"]\n  20 -> 33 [size =\"49652736\"]\n  21 [size=\"106967040\", alpha=\"0.02\", expect_size=\"32090112\"] \n  21 -> 30 [size =\"32090112\"]\n  21 -> 33 [size =\"32090112\"]\n  21 -> 35 [size =\"32090112\"]\n  22 [size=\"48267947\", alpha=\"0.16\", expect_size=\"14480384\"] \n  22 -> 29 [size =\"14480384\"]\n  22 -> 30 [size =\"14480384\"]\n  22 -> 31 [size =\"14480384\"]\n  22 -> 33 [size =\"14480384\"]\n  22 -> 34 [size =\"14480384\"]\n  23 [size=\"170079573\", alpha=\"0.02\", expect_size=\"51023872\"] \n  23 -> 28 [size =\"51023872\"]\n  23 -> 31 [size =\"51023872\"]\n  23 -> 32 [size =\"51023872\"]\n  24 [size=\"101160960\", alpha=\"0.06\", expect_size=\"30348288\"] \n  24 -> 31 [size =\"30348288\"]\n  24 -> 33 [size =\"30348288\"]\n  25 [size=\"53019307\", alpha=\"0.02\", expect_size=\"15905792\"] \n  25 -> 34 [size =\"15905792\"]\n  26 [size=\"82636800\", alpha=\"0.07\", expect_size=\"24791040\"] \n  26 -> 31 [size =\"24791040\"]\n  26 -> 33 [size =\"24791040\"]\n  26 -> 34 [size =\"24791040\"]\n  27 [size=\"94091947\", alpha=\"0.17\", expect_size=\"28227584\"] \n  27 -> 34 [size =\"28227584\"]\n  28 [size=\"45568000\", alpha=\"0.13\", expect_size=\"13670400\"] \n  29 [size=\"127320747\", alpha=\"0.06\", expect_size=\"38196224\"] \n  30 [size=\"148261547\", alpha=\"0.14\", expect_size=\"44478464\"] \n  31 [size=\"76475733\", alpha=\"0.11\", expect_size=\"22942720\"] \n  32 [size=\"95685973\", alpha=\"0.14\", expect_size=\"28705792\"] \n  33 [size=\"65972907\", alpha=\"0.02\", expect_size=\"19791872\"] \n  34 [size=\"79441920\", alpha=\"0.01\", expect_size=\"23832576\"] \n  35 [size=\"124613973\", alpha=\"0.13\", expect_size=\"37384192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110394880\", alpha=\"0.07\", expect_size=\"44157952\"] \n  1 -> 23 [size =\"44157952\"]\n  1 -> 24 [size =\"44157952\"]\n  1 -> 26 [size =\"44157952\"]\n  1 -> 27 [size =\"44157952\"]\n  1 -> 32 [size =\"44157952\"]\n  2 [size=\"51422720\", alpha=\"0.15\", expect_size=\"20569088\"] \n  2 -> 23 [size =\"20569088\"]\n  2 -> 27 [size =\"20569088\"]\n  2 -> 29 [size =\"20569088\"]\n  2 -> 33 [size =\"20569088\"]\n  2 -> 35 [size =\"20569088\"]\n  3 [size=\"76738560\", alpha=\"0.06\", expect_size=\"30695424\"] \n  3 -> 22 [size =\"30695424\"]\n  3 -> 23 [size =\"30695424\"]\n  3 -> 26 [size =\"30695424\"]\n  3 -> 27 [size =\"30695424\"]\n  3 -> 30 [size =\"30695424\"]\n  4 [size=\"87759360\", alpha=\"0.05\", expect_size=\"35103744\"] \n  4 -> 23 [size =\"35103744\"]\n  4 -> 23 [size =\"35103744\"]\n  4 -> 25 [size =\"35103744\"]\n  4 -> 26 [size =\"35103744\"]\n  4 -> 30 [size =\"35103744\"]\n  5 [size=\"14681600\", alpha=\"0.17\", expect_size=\"5872640\"] \n  5 -> 22 [size =\"5872640\"]\n  5 -> 25 [size =\"5872640\"]\n  5 -> 25 [size =\"5872640\"]\n  5 -> 27 [size =\"5872640\"]\n  5 -> 30 [size =\"5872640\"]\n  5 -> 32 [size =\"5872640\"]\n  5 -> 35 [size =\"5872640\"]\n  6 [size=\"83289600\", alpha=\"0.14\", expect_size=\"33315840\"] \n  6 -> 24 [size =\"33315840\"]\n  6 -> 25 [size =\"33315840\"]\n  6 -> 27 [size =\"33315840\"]\n  6 -> 27 [size =\"33315840\"]\n  6 -> 30 [size =\"33315840\"]\n  6 -> 31 [size =\"33315840\"]\n  7 [size=\"58549760\", alpha=\"0.10\", expect_size=\"23419904\"] \n  7 -> 22 [size =\"23419904\"]\n  7 -> 25 [size =\"23419904\"]\n  7 -> 30 [size =\"23419904\"]\n  7 -> 32 [size =\"23419904\"]\n  7 -> 33 [size =\"23419904\"]\n  8 [size=\"120358400\", alpha=\"0.06\", expect_size=\"48143360\"] \n  8 -> 22 [size =\"48143360\"]\n  8 -> 23 [size =\"48143360\"]\n  8 -> 24 [size =\"48143360\"]\n  8 -> 25 [size =\"48143360\"]\n  8 -> 27 [size =\"48143360\"]\n  8 -> 31 [size =\"48143360\"]\n  8 -> 32 [size =\"48143360\"]\n  9 [size=\"60142080\", alpha=\"0.06\", expect_size=\"24056832\"] \n  9 -> 22 [size =\"24056832\"]\n  9 -> 24 [size =\"24056832\"]\n  9 -> 26 [size =\"24056832\"]\n  9 -> 32 [size =\"24056832\"]\n  10 [size=\"15283200\", alpha=\"0.06\", expect_size=\"6113280\"] \n  10 -> 22 [size =\"6113280\"]\n  10 -> 23 [size =\"6113280\"]\n  10 -> 24 [size =\"6113280\"]\n  10 -> 26 [size =\"6113280\"]\n  10 -> 28 [size =\"6113280\"]\n  10 -> 35 [size =\"6113280\"]\n  11 [size=\"81349120\", alpha=\"0.12\", expect_size=\"32539648\"] \n  11 -> 22 [size =\"32539648\"]\n  11 -> 23 [size =\"32539648\"]\n  11 -> 25 [size =\"32539648\"]\n  11 -> 26 [size =\"32539648\"]\n  11 -> 31 [size =\"32539648\"]\n  11 -> 32 [size =\"32539648\"]\n  11 -> 35 [size =\"32539648\"]\n  12 [size=\"124477440\", alpha=\"0.09\", expect_size=\"49790976\"] \n  12 -> 25 [size =\"49790976\"]\n  12 -> 26 [size =\"49790976\"]\n  12 -> 29 [size =\"49790976\"]\n  12 -> 30 [size =\"49790976\"]\n  12 -> 35 [size =\"49790976\"]\n  13 [size=\"93309440\", alpha=\"0.04\", expect_size=\"37323776\"] \n  13 -> 23 [size =\"37323776\"]\n  13 -> 25 [size =\"37323776\"]\n  13 -> 26 [size =\"37323776\"]\n  13 -> 29 [size =\"37323776\"]\n  13 -> 35 [size =\"37323776\"]\n  14 [size=\"129144320\", alpha=\"0.18\", expect_size=\"51657728\"] \n  14 -> 22 [size =\"51657728\"]\n  14 -> 25 [size =\"51657728\"]\n  14 -> 27 [size =\"51657728\"]\n  14 -> 34 [size =\"51657728\"]\n  14 -> 35 [size =\"51657728\"]\n  15 [size=\"38597120\", alpha=\"0.09\", expect_size=\"15438848\"] \n  15 -> 25 [size =\"15438848\"]\n  15 -> 27 [size =\"15438848\"]\n  15 -> 29 [size =\"15438848\"]\n  15 -> 31 [size =\"15438848\"]\n  15 -> 32 [size =\"15438848\"]\n  15 -> 35 [size =\"15438848\"]\n  16 [size=\"21322240\", alpha=\"0.05\", expect_size=\"8528896\"] \n  16 -> 22 [size =\"8528896\"]\n  16 -> 24 [size =\"8528896\"]\n  16 -> 25 [size =\"8528896\"]\n  16 -> 26 [size =\"8528896\"]\n  16 -> 27 [size =\"8528896\"]\n  16 -> 29 [size =\"8528896\"]\n  16 -> 35 [size =\"8528896\"]\n  17 [size=\"104268800\", alpha=\"0.13\", expect_size=\"41707520\"] \n  17 -> 25 [size =\"41707520\"]\n  17 -> 26 [size =\"41707520\"]\n  17 -> 27 [size =\"41707520\"]\n  17 -> 28 [size =\"41707520\"]\n  17 -> 29 [size =\"41707520\"]\n  17 -> 30 [size =\"41707520\"]\n  17 -> 35 [size =\"41707520\"]\n  18 [size=\"47416320\", alpha=\"0.07\", expect_size=\"18966528\"] \n  18 -> 25 [size =\"18966528\"]\n  18 -> 26 [size =\"18966528\"]\n  18 -> 30 [size =\"18966528\"]\n  18 -> 32 [size =\"18966528\"]\n  18 -> 35 [size =\"18966528\"]\n  19 [size=\"80366080\", alpha=\"0.03\", expect_size=\"32146432\"] \n  19 -> 32 [size =\"32146432\"]\n  19 -> 35 [size =\"32146432\"]\n  20 [size=\"114483200\", alpha=\"0.12\", expect_size=\"45793280\"] \n  20 -> 22 [size =\"45793280\"]\n  20 -> 27 [size =\"45793280\"]\n  20 -> 30 [size =\"45793280\"]\n  20 -> 32 [size =\"45793280\"]\n  20 -> 35 [size =\"45793280\"]\n  21 [size=\"32046080\", alpha=\"0.17\", expect_size=\"12818432\"] \n  21 -> 23 [size =\"12818432\"]\n  21 -> 24 [size =\"12818432\"]\n  21 -> 25 [size =\"12818432\"]\n  21 -> 27 [size =\"12818432\"]\n  21 -> 28 [size =\"12818432\"]\n  21 -> 32 [size =\"12818432\"]\n  22 [size=\"103690240\", alpha=\"0.09\", expect_size=\"41476096\"] \n  23 [size=\"37317120\", alpha=\"0.12\", expect_size=\"14926848\"] \n  24 [size=\"59681280\", alpha=\"0.07\", expect_size=\"23872512\"] \n  25 [size=\"49807360\", alpha=\"0.03\", expect_size=\"19922944\"] \n  26 [size=\"101521920\", alpha=\"0.11\", expect_size=\"40608768\"] \n  27 [size=\"14277120\", alpha=\"0.06\", expect_size=\"5710848\"] \n  28 [size=\"90872320\", alpha=\"0.19\", expect_size=\"36348928\"] \n  29 [size=\"14241280\", alpha=\"0.01\", expect_size=\"5696512\"] \n  30 [size=\"29304320\", alpha=\"0.03\", expect_size=\"11721728\"] \n  31 [size=\"97489920\", alpha=\"0.16\", expect_size=\"38995968\"] \n  32 [size=\"80153600\", alpha=\"0.08\", expect_size=\"32061440\"] \n  33 [size=\"15616000\", alpha=\"0.14\", expect_size=\"6246400\"] \n  34 [size=\"85470720\", alpha=\"0.20\", expect_size=\"34188288\"] \n  35 [size=\"128442880\", alpha=\"0.10\", expect_size=\"51377152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35794944\", alpha=\"0.14\", expect_size=\"17897472\"] \n  1 -> 2 [size =\"17897472\"]\n  2 [size=\"66572288\", alpha=\"0.12\", expect_size=\"33286144\"] \n  2 -> 3 [size =\"33286144\"]\n  3 [size=\"97052672\", alpha=\"0.03\", expect_size=\"48526336\"] \n  3 -> 4 [size =\"48526336\"]\n  4 [size=\"34406400\", alpha=\"0.12\", expect_size=\"17203200\"] \n  4 -> 5 [size =\"17203200\"]\n  5 [size=\"54874112\", alpha=\"0.16\", expect_size=\"27437056\"] \n  5 -> 6 [size =\"27437056\"]\n  6 [size=\"104593408\", alpha=\"0.06\", expect_size=\"52296704\"] \n  6 -> 7 [size =\"52296704\"]\n  7 [size=\"50188288\", alpha=\"0.19\", expect_size=\"25094144\"] \n  7 -> 8 [size =\"25094144\"]\n  8 [size=\"25415680\", alpha=\"0.12\", expect_size=\"12707840\"] \n  8 -> 9 [size =\"12707840\"]\n  9 [size=\"22915072\", alpha=\"0.06\", expect_size=\"11457536\"] \n  9 -> 10 [size =\"11457536\"]\n  10 [size=\"89135104\", alpha=\"0.08\", expect_size=\"44567552\"] \n  10 -> 11 [size =\"44567552\"]\n  11 [size=\"55863296\", alpha=\"0.16\", expect_size=\"27931648\"] \n  11 -> 12 [size =\"27931648\"]\n  12 [size=\"27432960\", alpha=\"0.16\", expect_size=\"13716480\"] \n  12 -> 13 [size =\"13716480\"]\n  13 [size=\"85886976\", alpha=\"0.06\", expect_size=\"42943488\"] \n  13 -> 14 [size =\"42943488\"]\n  14 [size=\"99819520\", alpha=\"0.16\", expect_size=\"49909760\"] \n  14 -> 15 [size =\"49909760\"]\n  15 [size=\"60915712\", alpha=\"0.18\", expect_size=\"30457856\"] \n  15 -> 16 [size =\"30457856\"]\n  16 [size=\"41560064\", alpha=\"0.10\", expect_size=\"20780032\"] \n  16 -> 17 [size =\"20780032\"]\n  17 [size=\"69005312\", alpha=\"0.16\", expect_size=\"34502656\"] \n  17 -> 18 [size =\"34502656\"]\n  18 [size=\"64245760\", alpha=\"0.18\", expect_size=\"32122880\"] \n  18 -> 19 [size =\"32122880\"]\n  19 [size=\"28035072\", alpha=\"0.13\", expect_size=\"14017536\"] \n  19 -> 20 [size =\"14017536\"]\n  20 [size=\"56057856\", alpha=\"0.09\", expect_size=\"28028928\"] \n  20 -> 21 [size =\"28028928\"]\n  21 [size=\"94523392\", alpha=\"0.10\", expect_size=\"47261696\"] \n  21 -> 22 [size =\"47261696\"]\n  22 [size=\"74199040\", alpha=\"0.03\", expect_size=\"37099520\"] \n  22 -> 23 [size =\"37099520\"]\n  23 [size=\"56473600\", alpha=\"0.15\", expect_size=\"28236800\"] \n  23 -> 24 [size =\"28236800\"]\n  24 [size=\"84461568\", alpha=\"0.11\", expect_size=\"42230784\"] \n  24 -> 25 [size =\"42230784\"]\n  25 [size=\"63498240\", alpha=\"0.17\", expect_size=\"31749120\"] \n  25 -> 26 [size =\"31749120\"]\n  26 [size=\"52473856\", alpha=\"0.03\", expect_size=\"26236928\"] \n  26 -> 27 [size =\"26236928\"]\n  27 [size=\"101476352\", alpha=\"0.17\", expect_size=\"50738176\"] \n  27 -> 28 [size =\"50738176\"]\n  28 [size=\"83329024\", alpha=\"0.15\", expect_size=\"41664512\"] \n  28 -> 29 [size =\"41664512\"]\n  29 [size=\"75378688\", alpha=\"0.15\", expect_size=\"37689344\"] \n  29 -> 30 [size =\"37689344\"]\n  30 [size=\"44374016\", alpha=\"0.11\", expect_size=\"22187008\"] \n  30 -> 31 [size =\"22187008\"]\n  31 [size=\"87920640\", alpha=\"0.18\", expect_size=\"43960320\"] \n  31 -> 32 [size =\"43960320\"]\n  32 [size=\"42582016\", alpha=\"0.08\", expect_size=\"21291008\"] \n  32 -> 33 [size =\"21291008\"]\n  33 [size=\"58818560\", alpha=\"0.13\", expect_size=\"29409280\"] \n  33 -> 34 [size =\"29409280\"]\n  34 [size=\"34453504\", alpha=\"0.18\", expect_size=\"17226752\"] \n  34 -> 35 [size =\"17226752\"]\n  35 [size=\"87779328\", alpha=\"0.14\", expect_size=\"43889664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19333120\", alpha=\"0.06\", expect_size=\"9666560\"] \n  1 -> 7 [size =\"9666560\"]\n  2 [size=\"42121216\", alpha=\"0.20\", expect_size=\"21060608\"] \n  2 -> 6 [size =\"21060608\"]\n  2 -> 7 [size =\"21060608\"]\n  2 -> 8 [size =\"21060608\"]\n  3 [size=\"92059648\", alpha=\"0.03\", expect_size=\"46029824\"] \n  3 -> 6 [size =\"46029824\"]\n  4 [size=\"67045376\", alpha=\"0.14\", expect_size=\"33522688\"] \n  4 -> 5 [size =\"33522688\"]\n  5 [size=\"68151296\", alpha=\"0.08\", expect_size=\"34075648\"] \n  5 -> 12 [size =\"34075648\"]\n  5 -> 12 [size =\"34075648\"]\n  6 [size=\"69519360\", alpha=\"0.15\", expect_size=\"34759680\"] \n  6 -> 10 [size =\"34759680\"]\n  7 [size=\"16746496\", alpha=\"0.06\", expect_size=\"8373248\"] \n  7 -> 11 [size =\"8373248\"]\n  8 [size=\"50358272\", alpha=\"0.10\", expect_size=\"25179136\"] \n  8 -> 9 [size =\"25179136\"]\n  8 -> 12 [size =\"25179136\"]\n  9 [size=\"53798912\", alpha=\"0.12\", expect_size=\"26899456\"] \n  9 -> 13 [size =\"26899456\"]\n  10 [size=\"73570304\", alpha=\"0.00\", expect_size=\"36785152\"] \n  10 -> 13 [size =\"36785152\"]\n  10 -> 15 [size =\"36785152\"]\n  10 -> 16 [size =\"36785152\"]\n  10 -> 17 [size =\"36785152\"]\n  11 [size=\"98398208\", alpha=\"0.07\", expect_size=\"49199104\"] \n  11 -> 13 [size =\"49199104\"]\n  11 -> 14 [size =\"49199104\"]\n  11 -> 16 [size =\"49199104\"]\n  11 -> 17 [size =\"49199104\"]\n  12 [size=\"30693376\", alpha=\"0.16\", expect_size=\"15346688\"] \n  12 -> 16 [size =\"15346688\"]\n  13 [size=\"29038592\", alpha=\"0.18\", expect_size=\"14519296\"] \n  14 [size=\"43702272\", alpha=\"0.15\", expect_size=\"21851136\"] \n  14 -> 21 [size =\"21851136\"]\n  15 [size=\"13395968\", alpha=\"0.02\", expect_size=\"6697984\"] \n  15 -> 19 [size =\"6697984\"]\n  15 -> 20 [size =\"6697984\"]\n  16 [size=\"51044352\", alpha=\"0.16\", expect_size=\"25522176\"] \n  16 -> 18 [size =\"25522176\"]\n  17 [size=\"26918912\", alpha=\"0.09\", expect_size=\"13459456\"] \n  17 -> 19 [size =\"13459456\"]\n  18 [size=\"53530624\", alpha=\"0.12\", expect_size=\"26765312\"] \n  18 -> 22 [size =\"26765312\"]\n  18 -> 23 [size =\"26765312\"]\n  19 [size=\"100368384\", alpha=\"0.06\", expect_size=\"50184192\"] \n  19 -> 25 [size =\"50184192\"]\n  20 [size=\"62666752\", alpha=\"0.15\", expect_size=\"31333376\"] \n  21 [size=\"64489472\", alpha=\"0.07\", expect_size=\"32244736\"] \n  21 -> 22 [size =\"32244736\"]\n  21 -> 24 [size =\"32244736\"]\n  22 [size=\"98899968\", alpha=\"0.05\", expect_size=\"49449984\"] \n  22 -> 30 [size =\"49449984\"]\n  23 [size=\"80836608\", alpha=\"0.01\", expect_size=\"40418304\"] \n  23 -> 26 [size =\"40418304\"]\n  23 -> 27 [size =\"40418304\"]\n  23 -> 28 [size =\"40418304\"]\n  24 [size=\"70825984\", alpha=\"0.08\", expect_size=\"35412992\"] \n  24 -> 26 [size =\"35412992\"]\n  24 -> 28 [size =\"35412992\"]\n  24 -> 29 [size =\"35412992\"]\n  24 -> 30 [size =\"35412992\"]\n  25 [size=\"47325184\", alpha=\"0.08\", expect_size=\"23662592\"] \n  25 -> 26 [size =\"23662592\"]\n  25 -> 29 [size =\"23662592\"]\n  26 [size=\"55644160\", alpha=\"0.00\", expect_size=\"27822080\"] \n  26 -> 31 [size =\"27822080\"]\n  27 [size=\"36210688\", alpha=\"0.14\", expect_size=\"18105344\"] \n  27 -> 33 [size =\"18105344\"]\n  28 [size=\"80052224\", alpha=\"0.16\", expect_size=\"40026112\"] \n  28 -> 32 [size =\"40026112\"]\n  28 -> 33 [size =\"40026112\"]\n  28 -> 34 [size =\"40026112\"]\n  29 [size=\"40644608\", alpha=\"0.07\", expect_size=\"20322304\"] \n  29 -> 31 [size =\"20322304\"]\n  29 -> 33 [size =\"20322304\"]\n  30 [size=\"67919872\", alpha=\"0.12\", expect_size=\"33959936\"] \n  30 -> 31 [size =\"33959936\"]\n  30 -> 32 [size =\"33959936\"]\n  31 [size=\"46424064\", alpha=\"0.15\", expect_size=\"23212032\"] \n  31 -> 35 [size =\"23212032\"]\n  32 [size=\"79382528\", alpha=\"0.02\", expect_size=\"39691264\"] \n  32 -> 35 [size =\"39691264\"]\n  33 [size=\"104056832\", alpha=\"0.14\", expect_size=\"52028416\"] \n  34 [size=\"13275136\", alpha=\"0.12\", expect_size=\"6637568\"] \n  35 [size=\"52348928\", alpha=\"0.11\", expect_size=\"26174464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170304853\", alpha=\"0.20\", expect_size=\"51091456\"] \n  1 -> 14 [size =\"51091456\"]\n  1 -> 18 [size =\"51091456\"]\n  1 -> 19 [size =\"51091456\"]\n  2 [size=\"18783573\", alpha=\"0.05\", expect_size=\"5635072\"] \n  2 -> 13 [size =\"5635072\"]\n  2 -> 14 [size =\"5635072\"]\n  2 -> 15 [size =\"5635072\"]\n  2 -> 19 [size =\"5635072\"]\n  2 -> 21 [size =\"5635072\"]\n  3 [size=\"74673493\", alpha=\"0.03\", expect_size=\"22402048\"] \n  3 -> 12 [size =\"22402048\"]\n  3 -> 15 [size =\"22402048\"]\n  3 -> 16 [size =\"22402048\"]\n  3 -> 17 [size =\"22402048\"]\n  3 -> 19 [size =\"22402048\"]\n  3 -> 20 [size =\"22402048\"]\n  4 [size=\"24855893\", alpha=\"0.06\", expect_size=\"7456768\"] \n  4 -> 13 [size =\"7456768\"]\n  4 -> 16 [size =\"7456768\"]\n  4 -> 17 [size =\"7456768\"]\n  5 [size=\"87941120\", alpha=\"0.20\", expect_size=\"26382336\"] \n  5 -> 13 [size =\"26382336\"]\n  5 -> 16 [size =\"26382336\"]\n  6 [size=\"124456960\", alpha=\"0.04\", expect_size=\"37337088\"] \n  6 -> 14 [size =\"37337088\"]\n  6 -> 16 [size =\"37337088\"]\n  6 -> 17 [size =\"37337088\"]\n  6 -> 18 [size =\"37337088\"]\n  7 [size=\"134219093\", alpha=\"0.12\", expect_size=\"40265728\"] \n  7 -> 15 [size =\"40265728\"]\n  7 -> 17 [size =\"40265728\"]\n  7 -> 17 [size =\"40265728\"]\n  7 -> 20 [size =\"40265728\"]\n  7 -> 21 [size =\"40265728\"]\n  8 [size=\"121903787\", alpha=\"0.19\", expect_size=\"36571136\"] \n  8 -> 10 [size =\"36571136\"]\n  8 -> 11 [size =\"36571136\"]\n  8 -> 14 [size =\"36571136\"]\n  8 -> 15 [size =\"36571136\"]\n  8 -> 17 [size =\"36571136\"]\n  8 -> 19 [size =\"36571136\"]\n  9 [size=\"73280853\", alpha=\"0.13\", expect_size=\"21984256\"] \n  9 -> 19 [size =\"21984256\"]\n  9 -> 20 [size =\"21984256\"]\n  10 [size=\"99051520\", alpha=\"0.06\", expect_size=\"29715456\"] \n  10 -> 22 [size =\"29715456\"]\n  10 -> 27 [size =\"29715456\"]\n  10 -> 32 [size =\"29715456\"]\n  10 -> 34 [size =\"29715456\"]\n  11 [size=\"135000747\", alpha=\"0.19\", expect_size=\"40500224\"] \n  11 -> 22 [size =\"40500224\"]\n  11 -> 27 [size =\"40500224\"]\n  11 -> 32 [size =\"40500224\"]\n  11 -> 34 [size =\"40500224\"]\n  12 [size=\"134690133\", alpha=\"0.06\", expect_size=\"40407040\"] \n  12 -> 22 [size =\"40407040\"]\n  12 -> 25 [size =\"40407040\"]\n  12 -> 27 [size =\"40407040\"]\n  12 -> 30 [size =\"40407040\"]\n  12 -> 31 [size =\"40407040\"]\n  12 -> 34 [size =\"40407040\"]\n  13 [size=\"18653867\", alpha=\"0.18\", expect_size=\"5596160\"] \n  13 -> 24 [size =\"5596160\"]\n  13 -> 25 [size =\"5596160\"]\n  13 -> 26 [size =\"5596160\"]\n  13 -> 30 [size =\"5596160\"]\n  13 -> 31 [size =\"5596160\"]\n  13 -> 32 [size =\"5596160\"]\n  13 -> 33 [size =\"5596160\"]\n  13 -> 34 [size =\"5596160\"]\n  14 [size=\"40147627\", alpha=\"0.18\", expect_size=\"12044288\"] \n  14 -> 24 [size =\"12044288\"]\n  14 -> 25 [size =\"12044288\"]\n  14 -> 26 [size =\"12044288\"]\n  14 -> 27 [size =\"12044288\"]\n  14 -> 28 [size =\"12044288\"]\n  15 [size=\"84514133\", alpha=\"0.11\", expect_size=\"25354240\"] \n  15 -> 23 [size =\"25354240\"]\n  15 -> 25 [size =\"25354240\"]\n  15 -> 26 [size =\"25354240\"]\n  15 -> 27 [size =\"25354240\"]\n  15 -> 29 [size =\"25354240\"]\n  15 -> 32 [size =\"25354240\"]\n  16 [size=\"81957547\", alpha=\"0.18\", expect_size=\"24587264\"] \n  16 -> 22 [size =\"24587264\"]\n  16 -> 25 [size =\"24587264\"]\n  16 -> 26 [size =\"24587264\"]\n  16 -> 29 [size =\"24587264\"]\n  16 -> 31 [size =\"24587264\"]\n  16 -> 32 [size =\"24587264\"]\n  17 [size=\"116073813\", alpha=\"0.10\", expect_size=\"34822144\"] \n  17 -> 23 [size =\"34822144\"]\n  17 -> 24 [size =\"34822144\"]\n  17 -> 25 [size =\"34822144\"]\n  17 -> 26 [size =\"34822144\"]\n  17 -> 28 [size =\"34822144\"]\n  17 -> 29 [size =\"34822144\"]\n  17 -> 30 [size =\"34822144\"]\n  17 -> 31 [size =\"34822144\"]\n  17 -> 33 [size =\"34822144\"]\n  18 [size=\"50230613\", alpha=\"0.04\", expect_size=\"15069184\"] \n  18 -> 24 [size =\"15069184\"]\n  18 -> 26 [size =\"15069184\"]\n  18 -> 29 [size =\"15069184\"]\n  18 -> 30 [size =\"15069184\"]\n  18 -> 31 [size =\"15069184\"]\n  18 -> 32 [size =\"15069184\"]\n  19 [size=\"42850987\", alpha=\"0.02\", expect_size=\"12855296\"] \n  19 -> 22 [size =\"12855296\"]\n  19 -> 24 [size =\"12855296\"]\n  19 -> 27 [size =\"12855296\"]\n  19 -> 28 [size =\"12855296\"]\n  19 -> 29 [size =\"12855296\"]\n  20 [size=\"144947200\", alpha=\"0.10\", expect_size=\"43484160\"] \n  20 -> 27 [size =\"43484160\"]\n  20 -> 28 [size =\"43484160\"]\n  20 -> 30 [size =\"43484160\"]\n  20 -> 32 [size =\"43484160\"]\n  20 -> 33 [size =\"43484160\"]\n  21 [size=\"33181013\", alpha=\"0.19\", expect_size=\"9954304\"] \n  21 -> 22 [size =\"9954304\"]\n  21 -> 24 [size =\"9954304\"]\n  21 -> 25 [size =\"9954304\"]\n  21 -> 27 [size =\"9954304\"]\n  21 -> 32 [size =\"9954304\"]\n  21 -> 33 [size =\"9954304\"]\n  21 -> 34 [size =\"9954304\"]\n  22 [size=\"23562240\", alpha=\"0.07\", expect_size=\"7068672\"] \n  23 [size=\"72461653\", alpha=\"0.03\", expect_size=\"21738496\"] \n  24 [size=\"59081387\", alpha=\"0.20\", expect_size=\"17724416\"] \n  25 [size=\"39877973\", alpha=\"0.05\", expect_size=\"11963392\"] \n  26 [size=\"127761067\", alpha=\"0.05\", expect_size=\"38328320\"] \n  27 [size=\"108701013\", alpha=\"0.19\", expect_size=\"32610304\"] \n  27 -> 35 [size =\"32610304\"]\n  28 [size=\"32576853\", alpha=\"0.06\", expect_size=\"9773056\"] \n  29 [size=\"60177067\", alpha=\"0.01\", expect_size=\"18053120\"] \n  29 -> 35 [size =\"18053120\"]\n  30 [size=\"72789333\", alpha=\"0.06\", expect_size=\"21836800\"] \n  31 [size=\"155337387\", alpha=\"0.05\", expect_size=\"46601216\"] \n  32 [size=\"146083840\", alpha=\"0.00\", expect_size=\"43825152\"] \n  33 [size=\"46332587\", alpha=\"0.15\", expect_size=\"13899776\"] \n  34 [size=\"70570667\", alpha=\"0.13\", expect_size=\"21171200\"] \n  35 [size=\"68894720\", alpha=\"0.19\", expect_size=\"20668416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98938880\", alpha=\"0.19\", expect_size=\"49469440\"] \n  2 [size=\"99794944\", alpha=\"0.09\", expect_size=\"49897472\"] \n  2 -> 10 [size =\"49897472\"]\n  3 [size=\"30314496\", alpha=\"0.14\", expect_size=\"15157248\"] \n  3 -> 7 [size =\"15157248\"]\n  3 -> 9 [size =\"15157248\"]\n  3 -> 10 [size =\"15157248\"]\n  4 [size=\"93640704\", alpha=\"0.10\", expect_size=\"46820352\"] \n  4 -> 7 [size =\"46820352\"]\n  4 -> 8 [size =\"46820352\"]\n  4 -> 10 [size =\"46820352\"]\n  5 [size=\"42471424\", alpha=\"0.08\", expect_size=\"21235712\"] \n  6 [size=\"63080448\", alpha=\"0.02\", expect_size=\"31540224\"] \n  6 -> 7 [size =\"31540224\"]\n  6 -> 8 [size =\"31540224\"]\n  6 -> 9 [size =\"31540224\"]\n  7 [size=\"92080128\", alpha=\"0.11\", expect_size=\"46040064\"] \n  7 -> 12 [size =\"46040064\"]\n  7 -> 13 [size =\"46040064\"]\n  8 [size=\"96008192\", alpha=\"0.19\", expect_size=\"48004096\"] \n  8 -> 12 [size =\"48004096\"]\n  8 -> 13 [size =\"48004096\"]\n  8 -> 15 [size =\"48004096\"]\n  9 [size=\"72507392\", alpha=\"0.05\", expect_size=\"36253696\"] \n  9 -> 11 [size =\"36253696\"]\n  9 -> 12 [size =\"36253696\"]\n  9 -> 14 [size =\"36253696\"]\n  9 -> 15 [size =\"36253696\"]\n  10 [size=\"81707008\", alpha=\"0.07\", expect_size=\"40853504\"] \n  10 -> 13 [size =\"40853504\"]\n  11 [size=\"33642496\", alpha=\"0.05\", expect_size=\"16821248\"] \n  11 -> 19 [size =\"16821248\"]\n  12 [size=\"27686912\", alpha=\"0.18\", expect_size=\"13843456\"] \n  12 -> 16 [size =\"13843456\"]\n  12 -> 17 [size =\"13843456\"]\n  13 [size=\"70805504\", alpha=\"0.15\", expect_size=\"35402752\"] \n  13 -> 16 [size =\"35402752\"]\n  13 -> 17 [size =\"35402752\"]\n  13 -> 18 [size =\"35402752\"]\n  14 [size=\"44566528\", alpha=\"0.15\", expect_size=\"22283264\"] \n  14 -> 16 [size =\"22283264\"]\n  14 -> 17 [size =\"22283264\"]\n  15 [size=\"89827328\", alpha=\"0.08\", expect_size=\"44913664\"] \n  15 -> 16 [size =\"44913664\"]\n  15 -> 17 [size =\"44913664\"]\n  15 -> 18 [size =\"44913664\"]\n  16 [size=\"32894976\", alpha=\"0.01\", expect_size=\"16447488\"] \n  16 -> 20 [size =\"16447488\"]\n  16 -> 21 [size =\"16447488\"]\n  17 [size=\"42248192\", alpha=\"0.12\", expect_size=\"21124096\"] \n  17 -> 20 [size =\"21124096\"]\n  17 -> 21 [size =\"21124096\"]\n  17 -> 22 [size =\"21124096\"]\n  17 -> 23 [size =\"21124096\"]\n  18 [size=\"94699520\", alpha=\"0.01\", expect_size=\"47349760\"] \n  18 -> 23 [size =\"47349760\"]\n  19 [size=\"87678976\", alpha=\"0.17\", expect_size=\"43839488\"] \n  19 -> 21 [size =\"43839488\"]\n  20 [size=\"18753536\", alpha=\"0.18\", expect_size=\"9376768\"] \n  20 -> 25 [size =\"9376768\"]\n  21 [size=\"53948416\", alpha=\"0.17\", expect_size=\"26974208\"] \n  21 -> 25 [size =\"26974208\"]\n  21 -> 26 [size =\"26974208\"]\n  22 [size=\"78598144\", alpha=\"0.16\", expect_size=\"39299072\"] \n  22 -> 26 [size =\"39299072\"]\n  23 [size=\"70887424\", alpha=\"0.18\", expect_size=\"35443712\"] \n  23 -> 24 [size =\"35443712\"]\n  23 -> 25 [size =\"35443712\"]\n  24 [size=\"46086144\", alpha=\"0.18\", expect_size=\"23043072\"] \n  24 -> 27 [size =\"23043072\"]\n  24 -> 28 [size =\"23043072\"]\n  24 -> 30 [size =\"23043072\"]\n  25 [size=\"22505472\", alpha=\"0.05\", expect_size=\"11252736\"] \n  25 -> 27 [size =\"11252736\"]\n  25 -> 29 [size =\"11252736\"]\n  26 [size=\"61071360\", alpha=\"0.03\", expect_size=\"30535680\"] \n  26 -> 28 [size =\"30535680\"]\n  26 -> 30 [size =\"30535680\"]\n  27 [size=\"65214464\", alpha=\"0.19\", expect_size=\"32607232\"] \n  27 -> 32 [size =\"32607232\"]\n  27 -> 33 [size =\"32607232\"]\n  28 [size=\"27363328\", alpha=\"0.12\", expect_size=\"13681664\"] \n  28 -> 31 [size =\"13681664\"]\n  28 -> 32 [size =\"13681664\"]\n  29 [size=\"30900224\", alpha=\"0.19\", expect_size=\"15450112\"] \n  30 [size=\"16607232\", alpha=\"0.01\", expect_size=\"8303616\"] \n  31 [size=\"100057088\", alpha=\"0.08\", expect_size=\"50028544\"] \n  32 [size=\"86587392\", alpha=\"0.18\", expect_size=\"43293696\"] \n  32 -> 34 [size =\"43293696\"]\n  32 -> 35 [size =\"43293696\"]\n  33 [size=\"65507328\", alpha=\"0.01\", expect_size=\"32753664\"] \n  33 -> 35 [size =\"32753664\"]\n  33 -> 35 [size =\"32753664\"]\n  34 [size=\"56651776\", alpha=\"0.11\", expect_size=\"28325888\"] \n  35 [size=\"48799744\", alpha=\"0.19\", expect_size=\"24399872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34078720\", alpha=\"0.15\", expect_size=\"10223616\"] \n  1 -> 4 [size =\"10223616\"]\n  1 -> 5 [size =\"10223616\"]\n  1 -> 6 [size =\"10223616\"]\n  1 -> 7 [size =\"10223616\"]\n  1 -> 8 [size =\"10223616\"]\n  2 [size=\"56381440\", alpha=\"0.09\", expect_size=\"16914432\"] \n  2 -> 4 [size =\"16914432\"]\n  2 -> 5 [size =\"16914432\"]\n  2 -> 6 [size =\"16914432\"]\n  2 -> 8 [size =\"16914432\"]\n  3 [size=\"116104533\", alpha=\"0.05\", expect_size=\"34831360\"] \n  3 -> 4 [size =\"34831360\"]\n  3 -> 5 [size =\"34831360\"]\n  3 -> 6 [size =\"34831360\"]\n  3 -> 7 [size =\"34831360\"]\n  4 [size=\"59064320\", alpha=\"0.12\", expect_size=\"17719296\"] \n  4 -> 10 [size =\"17719296\"]\n  4 -> 12 [size =\"17719296\"]\n  5 [size=\"165816320\", alpha=\"0.03\", expect_size=\"49744896\"] \n  5 -> 9 [size =\"49744896\"]\n  5 -> 10 [size =\"49744896\"]\n  6 [size=\"19176107\", alpha=\"0.10\", expect_size=\"5752832\"] \n  6 -> 9 [size =\"5752832\"]\n  6 -> 10 [size =\"5752832\"]\n  6 -> 11 [size =\"5752832\"]\n  6 -> 12 [size =\"5752832\"]\n  7 [size=\"135140693\", alpha=\"0.13\", expect_size=\"40542208\"] \n  7 -> 10 [size =\"40542208\"]\n  8 [size=\"116333227\", alpha=\"0.07\", expect_size=\"34899968\"] \n  8 -> 10 [size =\"34899968\"]\n  8 -> 12 [size =\"34899968\"]\n  9 [size=\"171933013\", alpha=\"0.02\", expect_size=\"51579904\"] \n  9 -> 14 [size =\"51579904\"]\n  10 [size=\"98918400\", alpha=\"0.05\", expect_size=\"29675520\"] \n  10 -> 14 [size =\"29675520\"]\n  10 -> 15 [size =\"29675520\"]\n  11 [size=\"114288640\", alpha=\"0.14\", expect_size=\"34286592\"] \n  11 -> 13 [size =\"34286592\"]\n  11 -> 15 [size =\"34286592\"]\n  12 [size=\"75922773\", alpha=\"0.09\", expect_size=\"22776832\"] \n  12 -> 15 [size =\"22776832\"]\n  13 [size=\"144298667\", alpha=\"0.12\", expect_size=\"43289600\"] \n  13 -> 16 [size =\"43289600\"]\n  13 -> 17 [size =\"43289600\"]\n  13 -> 18 [size =\"43289600\"]\n  13 -> 19 [size =\"43289600\"]\n  13 -> 20 [size =\"43289600\"]\n  14 [size=\"25442987\", alpha=\"0.09\", expect_size=\"7632896\"] \n  14 -> 16 [size =\"7632896\"]\n  14 -> 17 [size =\"7632896\"]\n  14 -> 18 [size =\"7632896\"]\n  14 -> 19 [size =\"7632896\"]\n  14 -> 20 [size =\"7632896\"]\n  15 [size=\"122531840\", alpha=\"0.10\", expect_size=\"36759552\"] \n  15 -> 16 [size =\"36759552\"]\n  15 -> 20 [size =\"36759552\"]\n  16 [size=\"143141547\", alpha=\"0.12\", expect_size=\"42942464\"] \n  16 -> 22 [size =\"42942464\"]\n  16 -> 24 [size =\"42942464\"]\n  16 -> 25 [size =\"42942464\"]\n  17 [size=\"66037760\", alpha=\"0.17\", expect_size=\"19811328\"] \n  17 -> 21 [size =\"19811328\"]\n  17 -> 23 [size =\"19811328\"]\n  17 -> 25 [size =\"19811328\"]\n  18 [size=\"171997867\", alpha=\"0.04\", expect_size=\"51599360\"] \n  18 -> 24 [size =\"51599360\"]\n  18 -> 25 [size =\"51599360\"]\n  18 -> 25 [size =\"51599360\"]\n  19 [size=\"72700587\", alpha=\"0.11\", expect_size=\"21810176\"] \n  19 -> 22 [size =\"21810176\"]\n  20 [size=\"85258240\", alpha=\"0.07\", expect_size=\"25577472\"] \n  20 -> 22 [size =\"25577472\"]\n  20 -> 25 [size =\"25577472\"]\n  21 [size=\"128098987\", alpha=\"0.05\", expect_size=\"38429696\"] \n  21 -> 27 [size =\"38429696\"]\n  21 -> 28 [size =\"38429696\"]\n  21 -> 29 [size =\"38429696\"]\n  22 [size=\"77578240\", alpha=\"0.08\", expect_size=\"23273472\"] \n  22 -> 26 [size =\"23273472\"]\n  22 -> 27 [size =\"23273472\"]\n  22 -> 28 [size =\"23273472\"]\n  23 [size=\"146589013\", alpha=\"0.04\", expect_size=\"43976704\"] \n  23 -> 26 [size =\"43976704\"]\n  23 -> 27 [size =\"43976704\"]\n  23 -> 28 [size =\"43976704\"]\n  23 -> 29 [size =\"43976704\"]\n  24 [size=\"86882987\", alpha=\"0.04\", expect_size=\"26064896\"] \n  24 -> 29 [size =\"26064896\"]\n  25 [size=\"158706347\", alpha=\"0.04\", expect_size=\"47611904\"] \n  25 -> 28 [size =\"47611904\"]\n  26 [size=\"83309227\", alpha=\"0.04\", expect_size=\"24992768\"] \n  26 -> 30 [size =\"24992768\"]\n  26 -> 31 [size =\"24992768\"]\n  26 -> 32 [size =\"24992768\"]\n  27 [size=\"22654293\", alpha=\"0.19\", expect_size=\"6796288\"] \n  27 -> 30 [size =\"6796288\"]\n  27 -> 31 [size =\"6796288\"]\n  27 -> 32 [size =\"6796288\"]\n  27 -> 33 [size =\"6796288\"]\n  28 [size=\"157033813\", alpha=\"0.06\", expect_size=\"47110144\"] \n  28 -> 30 [size =\"47110144\"]\n  28 -> 32 [size =\"47110144\"]\n  28 -> 33 [size =\"47110144\"]\n  29 [size=\"30347947\", alpha=\"0.14\", expect_size=\"9104384\"] \n  29 -> 30 [size =\"9104384\"]\n  29 -> 32 [size =\"9104384\"]\n  29 -> 33 [size =\"9104384\"]\n  30 [size=\"116384427\", alpha=\"0.11\", expect_size=\"34915328\"] \n  30 -> 35 [size =\"34915328\"]\n  31 [size=\"170731520\", alpha=\"0.01\", expect_size=\"51219456\"] \n  31 -> 34 [size =\"51219456\"]\n  31 -> 35 [size =\"51219456\"]\n  32 [size=\"52705280\", alpha=\"0.18\", expect_size=\"15811584\"] \n  32 -> 35 [size =\"15811584\"]\n  33 [size=\"115787093\", alpha=\"0.11\", expect_size=\"34736128\"] \n  33 -> 35 [size =\"34736128\"]\n  34 [size=\"144035840\", alpha=\"0.06\", expect_size=\"43210752\"] \n  35 [size=\"21749760\", alpha=\"0.13\", expect_size=\"6524928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117286400\", alpha=\"0.11\", expect_size=\"46914560\"] \n  1 -> 2 [size =\"46914560\"]\n  2 [size=\"91220480\", alpha=\"0.16\", expect_size=\"36488192\"] \n  2 -> 3 [size =\"36488192\"]\n  3 [size=\"22955520\", alpha=\"0.07\", expect_size=\"9182208\"] \n  3 -> 4 [size =\"9182208\"]\n  4 [size=\"65287680\", alpha=\"0.18\", expect_size=\"26115072\"] \n  4 -> 5 [size =\"26115072\"]\n  5 [size=\"69944320\", alpha=\"0.01\", expect_size=\"27977728\"] \n  5 -> 6 [size =\"27977728\"]\n  6 [size=\"29104640\", alpha=\"0.12\", expect_size=\"11641856\"] \n  6 -> 7 [size =\"11641856\"]\n  7 [size=\"83676160\", alpha=\"0.11\", expect_size=\"33470464\"] \n  7 -> 8 [size =\"33470464\"]\n  8 [size=\"88908800\", alpha=\"0.04\", expect_size=\"35563520\"] \n  8 -> 9 [size =\"35563520\"]\n  9 [size=\"78986240\", alpha=\"0.11\", expect_size=\"31594496\"] \n  9 -> 10 [size =\"31594496\"]\n  10 [size=\"47306240\", alpha=\"0.07\", expect_size=\"18922496\"] \n  10 -> 11 [size =\"18922496\"]\n  11 [size=\"33423360\", alpha=\"0.13\", expect_size=\"13369344\"] \n  11 -> 12 [size =\"13369344\"]\n  12 [size=\"98124800\", alpha=\"0.13\", expect_size=\"39249920\"] \n  12 -> 13 [size =\"39249920\"]\n  13 [size=\"77025280\", alpha=\"0.14\", expect_size=\"30810112\"] \n  13 -> 14 [size =\"30810112\"]\n  14 [size=\"120486400\", alpha=\"0.04\", expect_size=\"48194560\"] \n  14 -> 15 [size =\"48194560\"]\n  15 [size=\"110046720\", alpha=\"0.08\", expect_size=\"44018688\"] \n  15 -> 16 [size =\"44018688\"]\n  16 [size=\"116951040\", alpha=\"0.08\", expect_size=\"46780416\"] \n  16 -> 17 [size =\"46780416\"]\n  17 [size=\"70412800\", alpha=\"0.16\", expect_size=\"28165120\"] \n  17 -> 18 [size =\"28165120\"]\n  18 [size=\"19668480\", alpha=\"0.01\", expect_size=\"7867392\"] \n  18 -> 19 [size =\"7867392\"]\n  19 [size=\"43494400\", alpha=\"0.03\", expect_size=\"17397760\"] \n  19 -> 20 [size =\"17397760\"]\n  20 [size=\"108838400\", alpha=\"0.10\", expect_size=\"43535360\"] \n  20 -> 21 [size =\"43535360\"]\n  21 [size=\"33638400\", alpha=\"0.15\", expect_size=\"13455360\"] \n  21 -> 22 [size =\"13455360\"]\n  22 [size=\"109831680\", alpha=\"0.14\", expect_size=\"43932672\"] \n  22 -> 23 [size =\"43932672\"]\n  23 [size=\"66734080\", alpha=\"0.14\", expect_size=\"26693632\"] \n  23 -> 24 [size =\"26693632\"]\n  24 [size=\"31257600\", alpha=\"0.03\", expect_size=\"12503040\"] \n  24 -> 25 [size =\"12503040\"]\n  25 [size=\"52113920\", alpha=\"0.02\", expect_size=\"20845568\"] \n  25 -> 26 [size =\"20845568\"]\n  26 [size=\"101798400\", alpha=\"0.03\", expect_size=\"40719360\"] \n  26 -> 27 [size =\"40719360\"]\n  27 [size=\"33400320\", alpha=\"0.16\", expect_size=\"13360128\"] \n  27 -> 28 [size =\"13360128\"]\n  28 [size=\"125826560\", alpha=\"0.02\", expect_size=\"50330624\"] \n  28 -> 29 [size =\"50330624\"]\n  29 [size=\"15575040\", alpha=\"0.20\", expect_size=\"6230016\"] \n  29 -> 30 [size =\"6230016\"]\n  30 [size=\"31564800\", alpha=\"0.03\", expect_size=\"12625920\"] \n  30 -> 31 [size =\"12625920\"]\n  31 [size=\"92047360\", alpha=\"0.09\", expect_size=\"36818944\"] \n  31 -> 32 [size =\"36818944\"]\n  32 [size=\"65267200\", alpha=\"0.10\", expect_size=\"26106880\"] \n  32 -> 33 [size =\"26106880\"]\n  33 [size=\"29342720\", alpha=\"0.02\", expect_size=\"11737088\"] \n  33 -> 34 [size =\"11737088\"]\n  34 [size=\"112087040\", alpha=\"0.12\", expect_size=\"44834816\"] \n  34 -> 35 [size =\"44834816\"]\n  35 [size=\"129753600\", alpha=\"0.18\", expect_size=\"51901440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63559680\", alpha=\"0.17\", expect_size=\"25423872\"] \n  1 -> 3 [size =\"25423872\"]\n  1 -> 4 [size =\"25423872\"]\n  2 [size=\"16547840\", alpha=\"0.19\", expect_size=\"6619136\"] \n  3 [size=\"23994880\", alpha=\"0.15\", expect_size=\"9597952\"] \n  4 [size=\"31626240\", alpha=\"0.04\", expect_size=\"12650496\"] \n  4 -> 5 [size =\"12650496\"]\n  5 [size=\"81144320\", alpha=\"0.02\", expect_size=\"32457728\"] \n  5 -> 6 [size =\"32457728\"]\n  5 -> 7 [size =\"32457728\"]\n  6 [size=\"59955200\", alpha=\"0.00\", expect_size=\"23982080\"] \n  6 -> 8 [size =\"23982080\"]\n  7 [size=\"107645440\", alpha=\"0.10\", expect_size=\"43058176\"] \n  8 [size=\"96043520\", alpha=\"0.08\", expect_size=\"38417408\"] \n  8 -> 9 [size =\"38417408\"]\n  9 [size=\"13655040\", alpha=\"0.17\", expect_size=\"5462016\"] \n  9 -> 10 [size =\"5462016\"]\n  9 -> 11 [size =\"5462016\"]\n  10 [size=\"61598720\", alpha=\"0.05\", expect_size=\"24639488\"] \n  10 -> 12 [size =\"24639488\"]\n  10 -> 13 [size =\"24639488\"]\n  11 [size=\"16112640\", alpha=\"0.15\", expect_size=\"6445056\"] \n  12 [size=\"115988480\", alpha=\"0.16\", expect_size=\"46395392\"] \n  12 -> 14 [size =\"46395392\"]\n  12 -> 15 [size =\"46395392\"]\n  13 [size=\"107171840\", alpha=\"0.09\", expect_size=\"42868736\"] \n  14 [size=\"80099840\", alpha=\"0.17\", expect_size=\"32039936\"] \n  15 [size=\"105469440\", alpha=\"0.04\", expect_size=\"42187776\"] \n  15 -> 16 [size =\"42187776\"]\n  15 -> 17 [size =\"42187776\"]\n  16 [size=\"115394560\", alpha=\"0.09\", expect_size=\"46157824\"] \n  16 -> 18 [size =\"46157824\"]\n  16 -> 19 [size =\"46157824\"]\n  17 [size=\"118231040\", alpha=\"0.00\", expect_size=\"47292416\"] \n  18 [size=\"57553920\", alpha=\"0.02\", expect_size=\"23021568\"] \n  19 [size=\"103203840\", alpha=\"0.04\", expect_size=\"41281536\"] \n  19 -> 20 [size =\"41281536\"]\n  20 [size=\"86986240\", alpha=\"0.09\", expect_size=\"34794496\"] \n  20 -> 21 [size =\"34794496\"]\n  21 [size=\"113899520\", alpha=\"0.02\", expect_size=\"45559808\"] \n  21 -> 22 [size =\"45559808\"]\n  22 [size=\"81784320\", alpha=\"0.16\", expect_size=\"32713728\"] \n  22 -> 23 [size =\"32713728\"]\n  22 -> 24 [size =\"32713728\"]\n  23 [size=\"61086720\", alpha=\"0.13\", expect_size=\"24434688\"] \n  24 [size=\"114493440\", alpha=\"0.12\", expect_size=\"45797376\"] \n  24 -> 25 [size =\"45797376\"]\n  25 [size=\"99310080\", alpha=\"0.02\", expect_size=\"39724032\"] \n  25 -> 26 [size =\"39724032\"]\n  25 -> 27 [size =\"39724032\"]\n  26 [size=\"120230400\", alpha=\"0.01\", expect_size=\"48092160\"] \n  26 -> 28 [size =\"48092160\"]\n  27 [size=\"52400640\", alpha=\"0.16\", expect_size=\"20960256\"] \n  28 [size=\"55060480\", alpha=\"0.05\", expect_size=\"22024192\"] \n  28 -> 29 [size =\"22024192\"]\n  29 [size=\"64862720\", alpha=\"0.13\", expect_size=\"25945088\"] \n  29 -> 30 [size =\"25945088\"]\n  30 [size=\"85926400\", alpha=\"0.11\", expect_size=\"34370560\"] \n  30 -> 31 [size =\"34370560\"]\n  31 [size=\"18933760\", alpha=\"0.08\", expect_size=\"7573504\"] \n  31 -> 32 [size =\"7573504\"]\n  32 [size=\"32307200\", alpha=\"0.03\", expect_size=\"12922880\"] \n  32 -> 33 [size =\"12922880\"]\n  33 [size=\"129487360\", alpha=\"0.14\", expect_size=\"51794944\"] \n  33 -> 34 [size =\"51794944\"]\n  33 -> 35 [size =\"51794944\"]\n  34 [size=\"85432320\", alpha=\"0.16\", expect_size=\"34172928\"] \n  35 [size=\"36631040\", alpha=\"0.14\", expect_size=\"14652416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26136576\", alpha=\"0.16\", expect_size=\"13068288\"] \n  1 -> 31 [size =\"13068288\"]\n  2 [size=\"44126208\", alpha=\"0.19\", expect_size=\"22063104\"] \n  2 -> 31 [size =\"22063104\"]\n  2 -> 35 [size =\"22063104\"]\n  3 [size=\"50640896\", alpha=\"0.19\", expect_size=\"25320448\"] \n  3 -> 32 [size =\"25320448\"]\n  3 -> 33 [size =\"25320448\"]\n  3 -> 34 [size =\"25320448\"]\n  3 -> 35 [size =\"25320448\"]\n  4 [size=\"31358976\", alpha=\"0.01\", expect_size=\"15679488\"] \n  4 -> 33 [size =\"15679488\"]\n  4 -> 34 [size =\"15679488\"]\n  4 -> 34 [size =\"15679488\"]\n  5 [size=\"93222912\", alpha=\"0.15\", expect_size=\"46611456\"] \n  5 -> 31 [size =\"46611456\"]\n  5 -> 33 [size =\"46611456\"]\n  6 [size=\"40742912\", alpha=\"0.06\", expect_size=\"20371456\"] \n  6 -> 34 [size =\"20371456\"]\n  7 [size=\"61450240\", alpha=\"0.05\", expect_size=\"30725120\"] \n  7 -> 34 [size =\"30725120\"]\n  8 [size=\"90112000\", alpha=\"0.09\", expect_size=\"45056000\"] \n  8 -> 30 [size =\"45056000\"]\n  8 -> 32 [size =\"45056000\"]\n  8 -> 34 [size =\"45056000\"]\n  9 [size=\"81377280\", alpha=\"0.05\", expect_size=\"40688640\"] \n  9 -> 30 [size =\"40688640\"]\n  9 -> 31 [size =\"40688640\"]\n  9 -> 32 [size =\"40688640\"]\n  10 [size=\"61030400\", alpha=\"0.00\", expect_size=\"30515200\"] \n  10 -> 30 [size =\"30515200\"]\n  10 -> 31 [size =\"30515200\"]\n  10 -> 32 [size =\"30515200\"]\n  10 -> 33 [size =\"30515200\"]\n  11 [size=\"29763584\", alpha=\"0.09\", expect_size=\"14881792\"] \n  11 -> 30 [size =\"14881792\"]\n  11 -> 32 [size =\"14881792\"]\n  11 -> 32 [size =\"14881792\"]\n  11 -> 33 [size =\"14881792\"]\n  11 -> 35 [size =\"14881792\"]\n  12 [size=\"11786240\", alpha=\"0.11\", expect_size=\"5893120\"] \n  12 -> 30 [size =\"5893120\"]\n  12 -> 31 [size =\"5893120\"]\n  12 -> 32 [size =\"5893120\"]\n  13 [size=\"101967872\", alpha=\"0.03\", expect_size=\"50983936\"] \n  13 -> 30 [size =\"50983936\"]\n  13 -> 31 [size =\"50983936\"]\n  13 -> 32 [size =\"50983936\"]\n  13 -> 33 [size =\"50983936\"]\n  13 -> 34 [size =\"50983936\"]\n  14 [size=\"97699840\", alpha=\"0.06\", expect_size=\"48849920\"] \n  14 -> 30 [size =\"48849920\"]\n  14 -> 33 [size =\"48849920\"]\n  14 -> 34 [size =\"48849920\"]\n  15 [size=\"103405568\", alpha=\"0.04\", expect_size=\"51702784\"] \n  15 -> 30 [size =\"51702784\"]\n  15 -> 32 [size =\"51702784\"]\n  15 -> 34 [size =\"51702784\"]\n  16 [size=\"80678912\", alpha=\"0.12\", expect_size=\"40339456\"] \n  16 -> 30 [size =\"40339456\"]\n  16 -> 31 [size =\"40339456\"]\n  16 -> 32 [size =\"40339456\"]\n  16 -> 33 [size =\"40339456\"]\n  17 [size=\"13955072\", alpha=\"0.07\", expect_size=\"6977536\"] \n  17 -> 30 [size =\"6977536\"]\n  17 -> 32 [size =\"6977536\"]\n  17 -> 35 [size =\"6977536\"]\n  18 [size=\"38862848\", alpha=\"0.15\", expect_size=\"19431424\"] \n  18 -> 30 [size =\"19431424\"]\n  18 -> 31 [size =\"19431424\"]\n  18 -> 32 [size =\"19431424\"]\n  19 [size=\"81293312\", alpha=\"0.03\", expect_size=\"40646656\"] \n  19 -> 30 [size =\"40646656\"]\n  20 [size=\"12550144\", alpha=\"0.19\", expect_size=\"6275072\"] \n  20 -> 30 [size =\"6275072\"]\n  20 -> 32 [size =\"6275072\"]\n  20 -> 34 [size =\"6275072\"]\n  21 [size=\"14215168\", alpha=\"0.18\", expect_size=\"7107584\"] \n  21 -> 31 [size =\"7107584\"]\n  21 -> 33 [size =\"7107584\"]\n  22 [size=\"56260608\", alpha=\"0.05\", expect_size=\"28130304\"] \n  22 -> 31 [size =\"28130304\"]\n  22 -> 33 [size =\"28130304\"]\n  22 -> 34 [size =\"28130304\"]\n  23 [size=\"13963264\", alpha=\"0.20\", expect_size=\"6981632\"] \n  23 -> 31 [size =\"6981632\"]\n  23 -> 32 [size =\"6981632\"]\n  24 [size=\"28930048\", alpha=\"0.19\", expect_size=\"14465024\"] \n  24 -> 31 [size =\"14465024\"]\n  24 -> 34 [size =\"14465024\"]\n  25 [size=\"57804800\", alpha=\"0.16\", expect_size=\"28902400\"] \n  25 -> 30 [size =\"28902400\"]\n  25 -> 31 [size =\"28902400\"]\n  25 -> 34 [size =\"28902400\"]\n  26 [size=\"74956800\", alpha=\"0.20\", expect_size=\"37478400\"] \n  26 -> 31 [size =\"37478400\"]\n  26 -> 31 [size =\"37478400\"]\n  27 [size=\"36757504\", alpha=\"0.14\", expect_size=\"18378752\"] \n  27 -> 31 [size =\"18378752\"]\n  27 -> 35 [size =\"18378752\"]\n  28 [size=\"69974016\", alpha=\"0.05\", expect_size=\"34987008\"] \n  28 -> 30 [size =\"34987008\"]\n  28 -> 31 [size =\"34987008\"]\n  29 [size=\"44195840\", alpha=\"0.11\", expect_size=\"22097920\"] \n  29 -> 31 [size =\"22097920\"]\n  30 [size=\"56668160\", alpha=\"0.08\", expect_size=\"28334080\"] \n  31 [size=\"50845696\", alpha=\"0.09\", expect_size=\"25422848\"] \n  32 [size=\"42377216\", alpha=\"0.10\", expect_size=\"21188608\"] \n  33 [size=\"64905216\", alpha=\"0.11\", expect_size=\"32452608\"] \n  34 [size=\"64215040\", alpha=\"0.10\", expect_size=\"32107520\"] \n  35 [size=\"61175808\", alpha=\"0.09\", expect_size=\"30587904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100287147\", alpha=\"0.01\", expect_size=\"30086144\"] \n  1 -> 2 [size =\"30086144\"]\n  2 [size=\"66430293\", alpha=\"0.11\", expect_size=\"19929088\"] \n  2 -> 3 [size =\"19929088\"]\n  2 -> 4 [size =\"19929088\"]\n  3 [size=\"145029120\", alpha=\"0.03\", expect_size=\"43508736\"] \n  3 -> 5 [size =\"43508736\"]\n  3 -> 6 [size =\"43508736\"]\n  4 [size=\"94248960\", alpha=\"0.09\", expect_size=\"28274688\"] \n  5 [size=\"107393707\", alpha=\"0.06\", expect_size=\"32218112\"] \n  5 -> 7 [size =\"32218112\"]\n  6 [size=\"112274773\", alpha=\"0.02\", expect_size=\"33682432\"] \n  7 [size=\"131037867\", alpha=\"0.17\", expect_size=\"39311360\"] \n  7 -> 8 [size =\"39311360\"]\n  8 [size=\"45602133\", alpha=\"0.04\", expect_size=\"13680640\"] \n  8 -> 9 [size =\"13680640\"]\n  9 [size=\"54753280\", alpha=\"0.08\", expect_size=\"16425984\"] \n  9 -> 10 [size =\"16425984\"]\n  9 -> 11 [size =\"16425984\"]\n  10 [size=\"146128213\", alpha=\"0.13\", expect_size=\"43838464\"] \n  11 [size=\"31184213\", alpha=\"0.01\", expect_size=\"9355264\"] \n  11 -> 12 [size =\"9355264\"]\n  11 -> 13 [size =\"9355264\"]\n  12 [size=\"42134187\", alpha=\"0.02\", expect_size=\"12640256\"] \n  13 [size=\"131751253\", alpha=\"0.03\", expect_size=\"39525376\"] \n  13 -> 14 [size =\"39525376\"]\n  14 [size=\"156030293\", alpha=\"0.08\", expect_size=\"46809088\"] \n  14 -> 15 [size =\"46809088\"]\n  15 [size=\"73181867\", alpha=\"0.10\", expect_size=\"21954560\"] \n  15 -> 16 [size =\"21954560\"]\n  15 -> 17 [size =\"21954560\"]\n  16 [size=\"117971627\", alpha=\"0.16\", expect_size=\"35391488\"] \n  16 -> 18 [size =\"35391488\"]\n  17 [size=\"131485013\", alpha=\"0.18\", expect_size=\"39445504\"] \n  18 [size=\"110752427\", alpha=\"0.17\", expect_size=\"33225728\"] \n  18 -> 19 [size =\"33225728\"]\n  18 -> 20 [size =\"33225728\"]\n  19 [size=\"144172373\", alpha=\"0.04\", expect_size=\"43251712\"] \n  19 -> 21 [size =\"43251712\"]\n  19 -> 22 [size =\"43251712\"]\n  20 [size=\"53592747\", alpha=\"0.12\", expect_size=\"16077824\"] \n  21 [size=\"159402667\", alpha=\"0.10\", expect_size=\"47820800\"] \n  21 -> 23 [size =\"47820800\"]\n  22 [size=\"169605120\", alpha=\"0.14\", expect_size=\"50881536\"] \n  23 [size=\"25576107\", alpha=\"0.15\", expect_size=\"7672832\"] \n  23 -> 24 [size =\"7672832\"]\n  23 -> 25 [size =\"7672832\"]\n  24 [size=\"49070080\", alpha=\"0.05\", expect_size=\"14721024\"] \n  24 -> 26 [size =\"14721024\"]\n  25 [size=\"111779840\", alpha=\"0.06\", expect_size=\"33533952\"] \n  26 [size=\"30562987\", alpha=\"0.00\", expect_size=\"9168896\"] \n  26 -> 27 [size =\"9168896\"]\n  27 [size=\"152879787\", alpha=\"0.08\", expect_size=\"45863936\"] \n  27 -> 28 [size =\"45863936\"]\n  28 [size=\"133761707\", alpha=\"0.20\", expect_size=\"40128512\"] \n  28 -> 29 [size =\"40128512\"]\n  29 [size=\"109612373\", alpha=\"0.16\", expect_size=\"32883712\"] \n  29 -> 30 [size =\"32883712\"]\n  29 -> 31 [size =\"32883712\"]\n  30 [size=\"144397653\", alpha=\"0.09\", expect_size=\"43319296\"] \n  31 [size=\"80660480\", alpha=\"0.04\", expect_size=\"24198144\"] \n  31 -> 32 [size =\"24198144\"]\n  31 -> 33 [size =\"24198144\"]\n  32 [size=\"158504960\", alpha=\"0.01\", expect_size=\"47551488\"] \n  32 -> 34 [size =\"47551488\"]\n  33 [size=\"112312320\", alpha=\"0.14\", expect_size=\"33693696\"] \n  34 [size=\"69638827\", alpha=\"0.04\", expect_size=\"20891648\"] \n  34 -> 35 [size =\"20891648\"]\n  35 [size=\"107257173\", alpha=\"0.00\", expect_size=\"32177152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49384960\", alpha=\"0.05\", expect_size=\"19753984\"] \n  1 -> 6 [size =\"19753984\"]\n  1 -> 8 [size =\"19753984\"]\n  1 -> 9 [size =\"19753984\"]\n  2 [size=\"47339520\", alpha=\"0.18\", expect_size=\"18935808\"] \n  2 -> 6 [size =\"18935808\"]\n  2 -> 7 [size =\"18935808\"]\n  2 -> 9 [size =\"18935808\"]\n  3 [size=\"117048320\", alpha=\"0.10\", expect_size=\"46819328\"] \n  3 -> 6 [size =\"46819328\"]\n  4 [size=\"118364160\", alpha=\"0.08\", expect_size=\"47345664\"] \n  4 -> 5 [size =\"47345664\"]\n  4 -> 8 [size =\"47345664\"]\n  4 -> 9 [size =\"47345664\"]\n  5 [size=\"17300480\", alpha=\"0.18\", expect_size=\"6920192\"] \n  5 -> 12 [size =\"6920192\"]\n  6 [size=\"112256000\", alpha=\"0.06\", expect_size=\"44902400\"] \n  6 -> 10 [size =\"44902400\"]\n  6 -> 11 [size =\"44902400\"]\n  7 [size=\"20154880\", alpha=\"0.17\", expect_size=\"8061952\"] \n  7 -> 11 [size =\"8061952\"]\n  8 [size=\"122711040\", alpha=\"0.01\", expect_size=\"49084416\"] \n  8 -> 11 [size =\"49084416\"]\n  8 -> 13 [size =\"49084416\"]\n  9 [size=\"82583040\", alpha=\"0.06\", expect_size=\"33033216\"] \n  9 -> 10 [size =\"33033216\"]\n  10 [size=\"30891520\", alpha=\"0.07\", expect_size=\"12356608\"] \n  10 -> 14 [size =\"12356608\"]\n  11 [size=\"113597440\", alpha=\"0.01\", expect_size=\"45438976\"] \n  11 -> 16 [size =\"45438976\"]\n  11 -> 17 [size =\"45438976\"]\n  12 [size=\"23393280\", alpha=\"0.10\", expect_size=\"9357312\"] \n  12 -> 14 [size =\"9357312\"]\n  12 -> 16 [size =\"9357312\"]\n  12 -> 17 [size =\"9357312\"]\n  13 [size=\"129948160\", alpha=\"0.12\", expect_size=\"51979264\"] \n  13 -> 14 [size =\"51979264\"]\n  13 -> 15 [size =\"51979264\"]\n  13 -> 17 [size =\"51979264\"]\n  14 [size=\"69547520\", alpha=\"0.11\", expect_size=\"27819008\"] \n  14 -> 19 [size =\"27819008\"]\n  15 [size=\"116244480\", alpha=\"0.00\", expect_size=\"46497792\"] \n  15 -> 18 [size =\"46497792\"]\n  15 -> 22 [size =\"46497792\"]\n  16 [size=\"106472960\", alpha=\"0.02\", expect_size=\"42589184\"] \n  16 -> 18 [size =\"42589184\"]\n  16 -> 19 [size =\"42589184\"]\n  16 -> 20 [size =\"42589184\"]\n  16 -> 21 [size =\"42589184\"]\n  17 [size=\"25085440\", alpha=\"0.16\", expect_size=\"10034176\"] \n  17 -> 18 [size =\"10034176\"]\n  17 -> 19 [size =\"10034176\"]\n  18 [size=\"122644480\", alpha=\"0.19\", expect_size=\"49057792\"] \n  18 -> 26 [size =\"49057792\"]\n  18 -> 27 [size =\"49057792\"]\n  19 [size=\"126602240\", alpha=\"0.07\", expect_size=\"50640896\"] \n  20 [size=\"42193920\", alpha=\"0.08\", expect_size=\"16877568\"] \n  20 -> 25 [size =\"16877568\"]\n  20 -> 26 [size =\"16877568\"]\n  20 -> 27 [size =\"16877568\"]\n  21 [size=\"84748800\", alpha=\"0.16\", expect_size=\"33899520\"] \n  21 -> 26 [size =\"33899520\"]\n  21 -> 27 [size =\"33899520\"]\n  22 [size=\"89410560\", alpha=\"0.09\", expect_size=\"35764224\"] \n  22 -> 23 [size =\"35764224\"]\n  22 -> 24 [size =\"35764224\"]\n  22 -> 26 [size =\"35764224\"]\n  23 [size=\"30945280\", alpha=\"0.00\", expect_size=\"12378112\"] \n  23 -> 28 [size =\"12378112\"]\n  24 [size=\"102607360\", alpha=\"0.09\", expect_size=\"41042944\"] \n  24 -> 29 [size =\"41042944\"]\n  25 [size=\"48924160\", alpha=\"0.19\", expect_size=\"19569664\"] \n  25 -> 28 [size =\"19569664\"]\n  26 [size=\"48947200\", alpha=\"0.05\", expect_size=\"19578880\"] \n  27 [size=\"59425280\", alpha=\"0.13\", expect_size=\"23770112\"] \n  27 -> 28 [size =\"23770112\"]\n  27 -> 29 [size =\"23770112\"]\n  27 -> 30 [size =\"23770112\"]\n  28 [size=\"35919360\", alpha=\"0.19\", expect_size=\"14367744\"] \n  28 -> 31 [size =\"14367744\"]\n  28 -> 33 [size =\"14367744\"]\n  28 -> 34 [size =\"14367744\"]\n  29 [size=\"28103680\", alpha=\"0.17\", expect_size=\"11241472\"] \n  29 -> 32 [size =\"11241472\"]\n  29 -> 34 [size =\"11241472\"]\n  29 -> 34 [size =\"11241472\"]\n  29 -> 35 [size =\"11241472\"]\n  30 [size=\"68088320\", alpha=\"0.18\", expect_size=\"27235328\"] \n  30 -> 31 [size =\"27235328\"]\n  31 [size=\"116938240\", alpha=\"0.16\", expect_size=\"46775296\"] \n  32 [size=\"92968960\", alpha=\"0.16\", expect_size=\"37187584\"] \n  33 [size=\"30412800\", alpha=\"0.16\", expect_size=\"12165120\"] \n  34 [size=\"33208320\", alpha=\"0.05\", expect_size=\"13283328\"] \n  35 [size=\"88655360\", alpha=\"0.12\", expect_size=\"35462144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90689536\", alpha=\"0.17\", expect_size=\"45344768\"] \n  1 -> 2 [size =\"45344768\"]\n  2 [size=\"48027648\", alpha=\"0.02\", expect_size=\"24013824\"] \n  2 -> 3 [size =\"24013824\"]\n  3 [size=\"45807616\", alpha=\"0.01\", expect_size=\"22903808\"] \n  3 -> 4 [size =\"22903808\"]\n  4 [size=\"14422016\", alpha=\"0.07\", expect_size=\"7211008\"] \n  4 -> 5 [size =\"7211008\"]\n  5 [size=\"73560064\", alpha=\"0.04\", expect_size=\"36780032\"] \n  5 -> 6 [size =\"36780032\"]\n  6 [size=\"85067776\", alpha=\"0.01\", expect_size=\"42533888\"] \n  6 -> 7 [size =\"42533888\"]\n  7 [size=\"101693440\", alpha=\"0.18\", expect_size=\"50846720\"] \n  7 -> 8 [size =\"50846720\"]\n  8 [size=\"93812736\", alpha=\"0.14\", expect_size=\"46906368\"] \n  8 -> 9 [size =\"46906368\"]\n  9 [size=\"90691584\", alpha=\"0.15\", expect_size=\"45345792\"] \n  9 -> 10 [size =\"45345792\"]\n  10 [size=\"84301824\", alpha=\"0.02\", expect_size=\"42150912\"] \n  10 -> 11 [size =\"42150912\"]\n  11 [size=\"84629504\", alpha=\"0.05\", expect_size=\"42314752\"] \n  11 -> 12 [size =\"42314752\"]\n  12 [size=\"69117952\", alpha=\"0.18\", expect_size=\"34558976\"] \n  12 -> 13 [size =\"34558976\"]\n  13 [size=\"80109568\", alpha=\"0.03\", expect_size=\"40054784\"] \n  13 -> 14 [size =\"40054784\"]\n  14 [size=\"86923264\", alpha=\"0.04\", expect_size=\"43461632\"] \n  14 -> 15 [size =\"43461632\"]\n  15 [size=\"27873280\", alpha=\"0.13\", expect_size=\"13936640\"] \n  15 -> 16 [size =\"13936640\"]\n  16 [size=\"45119488\", alpha=\"0.06\", expect_size=\"22559744\"] \n  16 -> 17 [size =\"22559744\"]\n  17 [size=\"50628608\", alpha=\"0.00\", expect_size=\"25314304\"] \n  17 -> 18 [size =\"25314304\"]\n  18 [size=\"41654272\", alpha=\"0.19\", expect_size=\"20827136\"] \n  18 -> 19 [size =\"20827136\"]\n  19 [size=\"14866432\", alpha=\"0.10\", expect_size=\"7433216\"] \n  19 -> 20 [size =\"7433216\"]\n  20 [size=\"87724032\", alpha=\"0.05\", expect_size=\"43862016\"] \n  20 -> 21 [size =\"43862016\"]\n  21 [size=\"97366016\", alpha=\"0.17\", expect_size=\"48683008\"] \n  21 -> 22 [size =\"48683008\"]\n  22 [size=\"25085952\", alpha=\"0.18\", expect_size=\"12542976\"] \n  22 -> 23 [size =\"12542976\"]\n  23 [size=\"16277504\", alpha=\"0.05\", expect_size=\"8138752\"] \n  23 -> 24 [size =\"8138752\"]\n  24 [size=\"28450816\", alpha=\"0.13\", expect_size=\"14225408\"] \n  24 -> 25 [size =\"14225408\"]\n  25 [size=\"48906240\", alpha=\"0.15\", expect_size=\"24453120\"] \n  25 -> 26 [size =\"24453120\"]\n  26 [size=\"16812032\", alpha=\"0.13\", expect_size=\"8406016\"] \n  26 -> 27 [size =\"8406016\"]\n  27 [size=\"44654592\", alpha=\"0.09\", expect_size=\"22327296\"] \n  27 -> 28 [size =\"22327296\"]\n  28 [size=\"46946304\", alpha=\"0.04\", expect_size=\"23473152\"] \n  28 -> 29 [size =\"23473152\"]\n  29 [size=\"40685568\", alpha=\"0.15\", expect_size=\"20342784\"] \n  29 -> 30 [size =\"20342784\"]\n  30 [size=\"89470976\", alpha=\"0.03\", expect_size=\"44735488\"] \n  30 -> 31 [size =\"44735488\"]\n  31 [size=\"20645888\", alpha=\"0.06\", expect_size=\"10322944\"] \n  31 -> 32 [size =\"10322944\"]\n  32 [size=\"103153664\", alpha=\"0.01\", expect_size=\"51576832\"] \n  32 -> 33 [size =\"51576832\"]\n  33 [size=\"91424768\", alpha=\"0.11\", expect_size=\"45712384\"] \n  33 -> 34 [size =\"45712384\"]\n  34 [size=\"20779008\", alpha=\"0.17\", expect_size=\"10389504\"] \n  34 -> 35 [size =\"10389504\"]\n  35 [size=\"83898368\", alpha=\"0.07\", expect_size=\"41949184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93138944\", alpha=\"0.01\", expect_size=\"46569472\"] \n  1 -> 22 [size =\"46569472\"]\n  1 -> 24 [size =\"46569472\"]\n  1 -> 27 [size =\"46569472\"]\n  1 -> 32 [size =\"46569472\"]\n  1 -> 33 [size =\"46569472\"]\n  1 -> 35 [size =\"46569472\"]\n  2 [size=\"80232448\", alpha=\"0.03\", expect_size=\"40116224\"] \n  2 -> 27 [size =\"40116224\"]\n  2 -> 32 [size =\"40116224\"]\n  2 -> 35 [size =\"40116224\"]\n  3 [size=\"71518208\", alpha=\"0.10\", expect_size=\"35759104\"] \n  3 -> 21 [size =\"35759104\"]\n  3 -> 29 [size =\"35759104\"]\n  3 -> 31 [size =\"35759104\"]\n  3 -> 35 [size =\"35759104\"]\n  4 [size=\"92397568\", alpha=\"0.05\", expect_size=\"46198784\"] \n  4 -> 21 [size =\"46198784\"]\n  4 -> 24 [size =\"46198784\"]\n  4 -> 27 [size =\"46198784\"]\n  4 -> 28 [size =\"46198784\"]\n  4 -> 31 [size =\"46198784\"]\n  4 -> 35 [size =\"46198784\"]\n  5 [size=\"42788864\", alpha=\"0.10\", expect_size=\"21394432\"] \n  5 -> 21 [size =\"21394432\"]\n  5 -> 28 [size =\"21394432\"]\n  6 [size=\"46045184\", alpha=\"0.19\", expect_size=\"23022592\"] \n  6 -> 24 [size =\"23022592\"]\n  6 -> 34 [size =\"23022592\"]\n  7 [size=\"88680448\", alpha=\"0.02\", expect_size=\"44340224\"] \n  7 -> 27 [size =\"44340224\"]\n  7 -> 28 [size =\"44340224\"]\n  7 -> 31 [size =\"44340224\"]\n  7 -> 33 [size =\"44340224\"]\n  8 [size=\"88563712\", alpha=\"0.17\", expect_size=\"44281856\"] \n  8 -> 21 [size =\"44281856\"]\n  8 -> 23 [size =\"44281856\"]\n  8 -> 27 [size =\"44281856\"]\n  8 -> 28 [size =\"44281856\"]\n  9 [size=\"18923520\", alpha=\"0.03\", expect_size=\"9461760\"] \n  9 -> 24 [size =\"9461760\"]\n  9 -> 28 [size =\"9461760\"]\n  9 -> 33 [size =\"9461760\"]\n  10 [size=\"85055488\", alpha=\"0.06\", expect_size=\"42527744\"] \n  10 -> 22 [size =\"42527744\"]\n  10 -> 24 [size =\"42527744\"]\n  10 -> 35 [size =\"42527744\"]\n  11 [size=\"20985856\", alpha=\"0.11\", expect_size=\"10492928\"] \n  11 -> 24 [size =\"10492928\"]\n  11 -> 26 [size =\"10492928\"]\n  11 -> 31 [size =\"10492928\"]\n  11 -> 32 [size =\"10492928\"]\n  12 [size=\"25307136\", alpha=\"0.02\", expect_size=\"12653568\"] \n  12 -> 27 [size =\"12653568\"]\n  12 -> 29 [size =\"12653568\"]\n  12 -> 30 [size =\"12653568\"]\n  12 -> 33 [size =\"12653568\"]\n  13 [size=\"38133760\", alpha=\"0.01\", expect_size=\"19066880\"] \n  13 -> 20 [size =\"19066880\"]\n  13 -> 29 [size =\"19066880\"]\n  13 -> 32 [size =\"19066880\"]\n  13 -> 33 [size =\"19066880\"]\n  14 [size=\"84654080\", alpha=\"0.06\", expect_size=\"42327040\"] \n  14 -> 22 [size =\"42327040\"]\n  14 -> 28 [size =\"42327040\"]\n  14 -> 32 [size =\"42327040\"]\n  14 -> 35 [size =\"42327040\"]\n  15 [size=\"15570944\", alpha=\"0.10\", expect_size=\"7785472\"] \n  15 -> 21 [size =\"7785472\"]\n  15 -> 22 [size =\"7785472\"]\n  15 -> 25 [size =\"7785472\"]\n  15 -> 35 [size =\"7785472\"]\n  16 [size=\"61450240\", alpha=\"0.14\", expect_size=\"30725120\"] \n  16 -> 24 [size =\"30725120\"]\n  16 -> 28 [size =\"30725120\"]\n  16 -> 30 [size =\"30725120\"]\n  16 -> 31 [size =\"30725120\"]\n  17 [size=\"55881728\", alpha=\"0.03\", expect_size=\"27940864\"] \n  17 -> 28 [size =\"27940864\"]\n  17 -> 32 [size =\"27940864\"]\n  17 -> 35 [size =\"27940864\"]\n  18 [size=\"63057920\", alpha=\"0.09\", expect_size=\"31528960\"] \n  18 -> 21 [size =\"31528960\"]\n  18 -> 28 [size =\"31528960\"]\n  18 -> 30 [size =\"31528960\"]\n  18 -> 32 [size =\"31528960\"]\n  18 -> 35 [size =\"31528960\"]\n  19 [size=\"50583552\", alpha=\"0.13\", expect_size=\"25291776\"] \n  19 -> 21 [size =\"25291776\"]\n  19 -> 27 [size =\"25291776\"]\n  19 -> 28 [size =\"25291776\"]\n  19 -> 30 [size =\"25291776\"]\n  19 -> 33 [size =\"25291776\"]\n  19 -> 35 [size =\"25291776\"]\n  20 [size=\"64057344\", alpha=\"0.18\", expect_size=\"32028672\"] \n  21 [size=\"94476288\", alpha=\"0.01\", expect_size=\"47238144\"] \n  22 [size=\"50169856\", alpha=\"0.18\", expect_size=\"25084928\"] \n  23 [size=\"57782272\", alpha=\"0.09\", expect_size=\"28891136\"] \n  24 [size=\"60219392\", alpha=\"0.17\", expect_size=\"30109696\"] \n  25 [size=\"86448128\", alpha=\"0.12\", expect_size=\"43224064\"] \n  26 [size=\"38475776\", alpha=\"0.14\", expect_size=\"19237888\"] \n  27 [size=\"102391808\", alpha=\"0.13\", expect_size=\"51195904\"] \n  28 [size=\"22190080\", alpha=\"0.09\", expect_size=\"11095040\"] \n  29 [size=\"63938560\", alpha=\"0.06\", expect_size=\"31969280\"] \n  30 [size=\"28868608\", alpha=\"0.19\", expect_size=\"14434304\"] \n  31 [size=\"19138560\", alpha=\"0.14\", expect_size=\"9569280\"] \n  32 [size=\"23031808\", alpha=\"0.13\", expect_size=\"11515904\"] \n  33 [size=\"15923200\", alpha=\"0.17\", expect_size=\"7961600\"] \n  34 [size=\"58847232\", alpha=\"0.17\", expect_size=\"29423616\"] \n  35 [size=\"44969984\", alpha=\"0.18\", expect_size=\"22484992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70433280\", alpha=\"0.08\", expect_size=\"28173312\"] \n  1 -> 30 [size =\"28173312\"]\n  1 -> 30 [size =\"28173312\"]\n  1 -> 35 [size =\"28173312\"]\n  2 [size=\"94062080\", alpha=\"0.15\", expect_size=\"37624832\"] \n  2 -> 25 [size =\"37624832\"]\n  2 -> 26 [size =\"37624832\"]\n  2 -> 30 [size =\"37624832\"]\n  2 -> 31 [size =\"37624832\"]\n  2 -> 34 [size =\"37624832\"]\n  3 [size=\"44249600\", alpha=\"0.10\", expect_size=\"17699840\"] \n  3 -> 29 [size =\"17699840\"]\n  3 -> 34 [size =\"17699840\"]\n  3 -> 35 [size =\"17699840\"]\n  4 [size=\"36569600\", alpha=\"0.17\", expect_size=\"14627840\"] \n  4 -> 26 [size =\"14627840\"]\n  4 -> 27 [size =\"14627840\"]\n  4 -> 29 [size =\"14627840\"]\n  4 -> 30 [size =\"14627840\"]\n  4 -> 31 [size =\"14627840\"]\n  4 -> 34 [size =\"14627840\"]\n  5 [size=\"52451840\", alpha=\"0.07\", expect_size=\"20980736\"] \n  5 -> 27 [size =\"20980736\"]\n  5 -> 29 [size =\"20980736\"]\n  5 -> 30 [size =\"20980736\"]\n  5 -> 32 [size =\"20980736\"]\n  5 -> 33 [size =\"20980736\"]\n  5 -> 34 [size =\"20980736\"]\n  5 -> 35 [size =\"20980736\"]\n  6 [size=\"61980160\", alpha=\"0.15\", expect_size=\"24792064\"] \n  6 -> 27 [size =\"24792064\"]\n  7 [size=\"70120960\", alpha=\"0.10\", expect_size=\"28048384\"] \n  7 -> 31 [size =\"28048384\"]\n  8 [size=\"81605120\", alpha=\"0.07\", expect_size=\"32642048\"] \n  8 -> 25 [size =\"32642048\"]\n  8 -> 33 [size =\"32642048\"]\n  9 [size=\"74588160\", alpha=\"0.07\", expect_size=\"29835264\"] \n  9 -> 24 [size =\"29835264\"]\n  9 -> 26 [size =\"29835264\"]\n  9 -> 29 [size =\"29835264\"]\n  9 -> 33 [size =\"29835264\"]\n  10 [size=\"122974720\", alpha=\"0.15\", expect_size=\"49189888\"] \n  10 -> 25 [size =\"49189888\"]\n  10 -> 26 [size =\"49189888\"]\n  10 -> 29 [size =\"49189888\"]\n  11 [size=\"22543360\", alpha=\"0.02\", expect_size=\"9017344\"] \n  11 -> 29 [size =\"9017344\"]\n  11 -> 30 [size =\"9017344\"]\n  11 -> 32 [size =\"9017344\"]\n  12 [size=\"71546880\", alpha=\"0.07\", expect_size=\"28618752\"] \n  12 -> 25 [size =\"28618752\"]\n  12 -> 26 [size =\"28618752\"]\n  12 -> 30 [size =\"28618752\"]\n  12 -> 31 [size =\"28618752\"]\n  12 -> 35 [size =\"28618752\"]\n  13 [size=\"39439360\", alpha=\"0.20\", expect_size=\"15775744\"] \n  13 -> 31 [size =\"15775744\"]\n  13 -> 32 [size =\"15775744\"]\n  13 -> 33 [size =\"15775744\"]\n  13 -> 34 [size =\"15775744\"]\n  14 [size=\"100083200\", alpha=\"0.01\", expect_size=\"40033280\"] \n  14 -> 32 [size =\"40033280\"]\n  14 -> 35 [size =\"40033280\"]\n  15 [size=\"85248000\", alpha=\"0.14\", expect_size=\"34099200\"] \n  16 [size=\"126865920\", alpha=\"0.16\", expect_size=\"50746368\"] \n  16 -> 29 [size =\"50746368\"]\n  16 -> 33 [size =\"50746368\"]\n  17 [size=\"99630080\", alpha=\"0.07\", expect_size=\"39852032\"] \n  17 -> 28 [size =\"39852032\"]\n  17 -> 31 [size =\"39852032\"]\n  18 [size=\"39165440\", alpha=\"0.13\", expect_size=\"15666176\"] \n  18 -> 24 [size =\"15666176\"]\n  18 -> 26 [size =\"15666176\"]\n  18 -> 31 [size =\"15666176\"]\n  19 [size=\"78561280\", alpha=\"0.05\", expect_size=\"31424512\"] \n  19 -> 27 [size =\"31424512\"]\n  19 -> 28 [size =\"31424512\"]\n  19 -> 29 [size =\"31424512\"]\n  19 -> 31 [size =\"31424512\"]\n  19 -> 32 [size =\"31424512\"]\n  19 -> 35 [size =\"31424512\"]\n  20 [size=\"118392320\", alpha=\"0.15\", expect_size=\"47356928\"] \n  20 -> 27 [size =\"47356928\"]\n  20 -> 28 [size =\"47356928\"]\n  20 -> 30 [size =\"47356928\"]\n  20 -> 31 [size =\"47356928\"]\n  20 -> 33 [size =\"47356928\"]\n  20 -> 35 [size =\"47356928\"]\n  21 [size=\"87354880\", alpha=\"0.16\", expect_size=\"34941952\"] \n  21 -> 24 [size =\"34941952\"]\n  21 -> 30 [size =\"34941952\"]\n  21 -> 32 [size =\"34941952\"]\n  22 [size=\"97861120\", alpha=\"0.10\", expect_size=\"39144448\"] \n  22 -> 24 [size =\"39144448\"]\n  22 -> 25 [size =\"39144448\"]\n  22 -> 30 [size =\"39144448\"]\n  22 -> 32 [size =\"39144448\"]\n  23 [size=\"23080960\", alpha=\"0.09\", expect_size=\"9232384\"] \n  23 -> 24 [size =\"9232384\"]\n  23 -> 30 [size =\"9232384\"]\n  23 -> 32 [size =\"9232384\"]\n  23 -> 34 [size =\"9232384\"]\n  23 -> 35 [size =\"9232384\"]\n  24 [size=\"21506560\", alpha=\"0.12\", expect_size=\"8602624\"] \n  25 [size=\"27294720\", alpha=\"0.02\", expect_size=\"10917888\"] \n  26 [size=\"108874240\", alpha=\"0.00\", expect_size=\"43549696\"] \n  27 [size=\"82388480\", alpha=\"0.08\", expect_size=\"32955392\"] \n  28 [size=\"126200320\", alpha=\"0.07\", expect_size=\"50480128\"] \n  29 [size=\"83799040\", alpha=\"0.17\", expect_size=\"33519616\"] \n  30 [size=\"111994880\", alpha=\"0.06\", expect_size=\"44797952\"] \n  31 [size=\"84305920\", alpha=\"0.16\", expect_size=\"33722368\"] \n  32 [size=\"58060800\", alpha=\"0.16\", expect_size=\"23224320\"] \n  33 [size=\"114214400\", alpha=\"0.00\", expect_size=\"45685760\"] \n  34 [size=\"47979520\", alpha=\"0.20\", expect_size=\"19191808\"] \n  35 [size=\"118750720\", alpha=\"0.11\", expect_size=\"47500288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65996800\", alpha=\"0.06\", expect_size=\"32998400\"] \n  1 -> 16 [size =\"32998400\"]\n  1 -> 19 [size =\"32998400\"]\n  1 -> 29 [size =\"32998400\"]\n  1 -> 31 [size =\"32998400\"]\n  1 -> 34 [size =\"32998400\"]\n  2 [size=\"22231040\", alpha=\"0.06\", expect_size=\"11115520\"] \n  2 -> 15 [size =\"11115520\"]\n  2 -> 18 [size =\"11115520\"]\n  2 -> 24 [size =\"11115520\"]\n  2 -> 28 [size =\"11115520\"]\n  2 -> 29 [size =\"11115520\"]\n  2 -> 31 [size =\"11115520\"]\n  2 -> 34 [size =\"11115520\"]\n  3 [size=\"92692480\", alpha=\"0.01\", expect_size=\"46346240\"] \n  3 -> 20 [size =\"46346240\"]\n  3 -> 25 [size =\"46346240\"]\n  3 -> 28 [size =\"46346240\"]\n  3 -> 30 [size =\"46346240\"]\n  3 -> 31 [size =\"46346240\"]\n  3 -> 32 [size =\"46346240\"]\n  3 -> 34 [size =\"46346240\"]\n  4 [size=\"12214272\", alpha=\"0.10\", expect_size=\"6107136\"] \n  4 -> 15 [size =\"6107136\"]\n  4 -> 16 [size =\"6107136\"]\n  4 -> 17 [size =\"6107136\"]\n  4 -> 20 [size =\"6107136\"]\n  4 -> 21 [size =\"6107136\"]\n  4 -> 24 [size =\"6107136\"]\n  4 -> 25 [size =\"6107136\"]\n  4 -> 27 [size =\"6107136\"]\n  4 -> 28 [size =\"6107136\"]\n  4 -> 30 [size =\"6107136\"]\n  4 -> 31 [size =\"6107136\"]\n  4 -> 34 [size =\"6107136\"]\n  5 [size=\"87101440\", alpha=\"0.14\", expect_size=\"43550720\"] \n  5 -> 16 [size =\"43550720\"]\n  5 -> 23 [size =\"43550720\"]\n  5 -> 24 [size =\"43550720\"]\n  5 -> 26 [size =\"43550720\"]\n  5 -> 27 [size =\"43550720\"]\n  5 -> 28 [size =\"43550720\"]\n  5 -> 32 [size =\"43550720\"]\n  5 -> 33 [size =\"43550720\"]\n  6 [size=\"98947072\", alpha=\"0.12\", expect_size=\"49473536\"] \n  6 -> 15 [size =\"49473536\"]\n  6 -> 18 [size =\"49473536\"]\n  6 -> 19 [size =\"49473536\"]\n  6 -> 22 [size =\"49473536\"]\n  6 -> 23 [size =\"49473536\"]\n  6 -> 25 [size =\"49473536\"]\n  6 -> 29 [size =\"49473536\"]\n  6 -> 33 [size =\"49473536\"]\n  6 -> 34 [size =\"49473536\"]\n  7 [size=\"21991424\", alpha=\"0.18\", expect_size=\"10995712\"] \n  7 -> 16 [size =\"10995712\"]\n  7 -> 19 [size =\"10995712\"]\n  7 -> 20 [size =\"10995712\"]\n  7 -> 22 [size =\"10995712\"]\n  7 -> 23 [size =\"10995712\"]\n  7 -> 24 [size =\"10995712\"]\n  7 -> 25 [size =\"10995712\"]\n  7 -> 26 [size =\"10995712\"]\n  7 -> 29 [size =\"10995712\"]\n  7 -> 30 [size =\"10995712\"]\n  7 -> 31 [size =\"10995712\"]\n  7 -> 34 [size =\"10995712\"]\n  8 [size=\"40312832\", alpha=\"0.16\", expect_size=\"20156416\"] \n  8 -> 23 [size =\"20156416\"]\n  8 -> 24 [size =\"20156416\"]\n  8 -> 25 [size =\"20156416\"]\n  8 -> 32 [size =\"20156416\"]\n  9 [size=\"51351552\", alpha=\"0.00\", expect_size=\"25675776\"] \n  9 -> 16 [size =\"25675776\"]\n  9 -> 20 [size =\"25675776\"]\n  9 -> 25 [size =\"25675776\"]\n  9 -> 27 [size =\"25675776\"]\n  9 -> 29 [size =\"25675776\"]\n  9 -> 32 [size =\"25675776\"]\n  10 [size=\"62423040\", alpha=\"0.03\", expect_size=\"31211520\"] \n  10 -> 16 [size =\"31211520\"]\n  10 -> 23 [size =\"31211520\"]\n  10 -> 29 [size =\"31211520\"]\n  10 -> 30 [size =\"31211520\"]\n  10 -> 31 [size =\"31211520\"]\n  10 -> 32 [size =\"31211520\"]\n  10 -> 33 [size =\"31211520\"]\n  10 -> 34 [size =\"31211520\"]\n  11 [size=\"12746752\", alpha=\"0.12\", expect_size=\"6373376\"] \n  11 -> 16 [size =\"6373376\"]\n  11 -> 18 [size =\"6373376\"]\n  11 -> 26 [size =\"6373376\"]\n  11 -> 27 [size =\"6373376\"]\n  11 -> 29 [size =\"6373376\"]\n  11 -> 31 [size =\"6373376\"]\n  12 [size=\"39364608\", alpha=\"0.12\", expect_size=\"19682304\"] \n  12 -> 17 [size =\"19682304\"]\n  12 -> 23 [size =\"19682304\"]\n  12 -> 27 [size =\"19682304\"]\n  12 -> 27 [size =\"19682304\"]\n  12 -> 30 [size =\"19682304\"]\n  13 [size=\"69195776\", alpha=\"0.08\", expect_size=\"34597888\"] \n  13 -> 15 [size =\"34597888\"]\n  13 -> 18 [size =\"34597888\"]\n  13 -> 20 [size =\"34597888\"]\n  13 -> 22 [size =\"34597888\"]\n  13 -> 27 [size =\"34597888\"]\n  13 -> 28 [size =\"34597888\"]\n  13 -> 29 [size =\"34597888\"]\n  14 [size=\"72105984\", alpha=\"0.05\", expect_size=\"36052992\"] \n  14 -> 15 [size =\"36052992\"]\n  14 -> 22 [size =\"36052992\"]\n  14 -> 25 [size =\"36052992\"]\n  14 -> 30 [size =\"36052992\"]\n  14 -> 32 [size =\"36052992\"]\n  14 -> 33 [size =\"36052992\"]\n  14 -> 35 [size =\"36052992\"]\n  15 [size=\"22562816\", alpha=\"0.06\", expect_size=\"11281408\"] \n  16 [size=\"89806848\", alpha=\"0.15\", expect_size=\"44903424\"] \n  17 [size=\"50962432\", alpha=\"0.09\", expect_size=\"25481216\"] \n  18 [size=\"40341504\", alpha=\"0.04\", expect_size=\"20170752\"] \n  19 [size=\"20090880\", alpha=\"0.13\", expect_size=\"10045440\"] \n  20 [size=\"21370880\", alpha=\"0.18\", expect_size=\"10685440\"] \n  21 [size=\"33357824\", alpha=\"0.15\", expect_size=\"16678912\"] \n  22 [size=\"91514880\", alpha=\"0.14\", expect_size=\"45757440\"] \n  23 [size=\"54837248\", alpha=\"0.10\", expect_size=\"27418624\"] \n  24 [size=\"92250112\", alpha=\"0.07\", expect_size=\"46125056\"] \n  25 [size=\"21993472\", alpha=\"0.00\", expect_size=\"10996736\"] \n  26 [size=\"51265536\", alpha=\"0.12\", expect_size=\"25632768\"] \n  27 [size=\"29745152\", alpha=\"0.06\", expect_size=\"14872576\"] \n  28 [size=\"73734144\", alpha=\"0.07\", expect_size=\"36867072\"] \n  29 [size=\"90945536\", alpha=\"0.16\", expect_size=\"45472768\"] \n  30 [size=\"58621952\", alpha=\"0.16\", expect_size=\"29310976\"] \n  31 [size=\"49072128\", alpha=\"0.17\", expect_size=\"24536064\"] \n  32 [size=\"23439360\", alpha=\"0.04\", expect_size=\"11719680\"] \n  33 [size=\"87840768\", alpha=\"0.03\", expect_size=\"43920384\"] \n  34 [size=\"41369600\", alpha=\"0.16\", expect_size=\"20684800\"] \n  35 [size=\"74500096\", alpha=\"0.11\", expect_size=\"37250048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17590272\", alpha=\"0.05\", expect_size=\"8795136\"] \n  1 -> 2 [size =\"8795136\"]\n  1 -> 3 [size =\"8795136\"]\n  2 [size=\"92895232\", alpha=\"0.05\", expect_size=\"46447616\"] \n  2 -> 5 [size =\"46447616\"]\n  3 [size=\"29667328\", alpha=\"0.11\", expect_size=\"14833664\"] \n  3 -> 4 [size =\"14833664\"]\n  3 -> 5 [size =\"14833664\"]\n  4 [size=\"11294720\", alpha=\"0.04\", expect_size=\"5647360\"] \n  4 -> 6 [size =\"5647360\"]\n  5 [size=\"26103808\", alpha=\"0.19\", expect_size=\"13051904\"] \n  5 -> 7 [size =\"13051904\"]\n  6 [size=\"18032640\", alpha=\"0.08\", expect_size=\"9016320\"] \n  7 [size=\"23683072\", alpha=\"0.11\", expect_size=\"11841536\"] \n  7 -> 8 [size =\"11841536\"]\n  8 [size=\"32260096\", alpha=\"0.01\", expect_size=\"16130048\"] \n  8 -> 9 [size =\"16130048\"]\n  8 -> 10 [size =\"16130048\"]\n  9 [size=\"40818688\", alpha=\"0.18\", expect_size=\"20409344\"] \n  9 -> 11 [size =\"20409344\"]\n  9 -> 12 [size =\"20409344\"]\n  10 [size=\"81408000\", alpha=\"0.05\", expect_size=\"40704000\"] \n  10 -> 11 [size =\"40704000\"]\n  10 -> 12 [size =\"40704000\"]\n  11 [size=\"63932416\", alpha=\"0.19\", expect_size=\"31966208\"] \n  12 [size=\"89425920\", alpha=\"0.06\", expect_size=\"44712960\"] \n  12 -> 13 [size =\"44712960\"]\n  12 -> 14 [size =\"44712960\"]\n  13 [size=\"16746496\", alpha=\"0.06\", expect_size=\"8373248\"] \n  13 -> 15 [size =\"8373248\"]\n  13 -> 16 [size =\"8373248\"]\n  14 [size=\"70166528\", alpha=\"0.00\", expect_size=\"35083264\"] \n  14 -> 16 [size =\"35083264\"]\n  15 [size=\"89276416\", alpha=\"0.06\", expect_size=\"44638208\"] \n  15 -> 17 [size =\"44638208\"]\n  16 [size=\"82464768\", alpha=\"0.11\", expect_size=\"41232384\"] \n  16 -> 17 [size =\"41232384\"]\n  17 [size=\"25069568\", alpha=\"0.03\", expect_size=\"12534784\"] \n  17 -> 18 [size =\"12534784\"]\n  18 [size=\"78362624\", alpha=\"0.12\", expect_size=\"39181312\"] \n  18 -> 19 [size =\"39181312\"]\n  19 [size=\"83230720\", alpha=\"0.19\", expect_size=\"41615360\"] \n  19 -> 20 [size =\"41615360\"]\n  20 [size=\"75212800\", alpha=\"0.03\", expect_size=\"37606400\"] \n  20 -> 21 [size =\"37606400\"]\n  21 [size=\"97433600\", alpha=\"0.08\", expect_size=\"48716800\"] \n  21 -> 22 [size =\"48716800\"]\n  21 -> 23 [size =\"48716800\"]\n  22 [size=\"90976256\", alpha=\"0.10\", expect_size=\"45488128\"] \n  22 -> 24 [size =\"45488128\"]\n  23 [size=\"26978304\", alpha=\"0.17\", expect_size=\"13489152\"] \n  24 [size=\"57497600\", alpha=\"0.03\", expect_size=\"28748800\"] \n  24 -> 25 [size =\"28748800\"]\n  25 [size=\"59676672\", alpha=\"0.13\", expect_size=\"29838336\"] \n  25 -> 26 [size =\"29838336\"]\n  25 -> 27 [size =\"29838336\"]\n  26 [size=\"87463936\", alpha=\"0.05\", expect_size=\"43731968\"] \n  26 -> 28 [size =\"43731968\"]\n  26 -> 29 [size =\"43731968\"]\n  27 [size=\"45420544\", alpha=\"0.19\", expect_size=\"22710272\"] \n  27 -> 28 [size =\"22710272\"]\n  27 -> 29 [size =\"22710272\"]\n  28 [size=\"60952576\", alpha=\"0.18\", expect_size=\"30476288\"] \n  28 -> 30 [size =\"30476288\"]\n  29 [size=\"21243904\", alpha=\"0.04\", expect_size=\"10621952\"] \n  30 [size=\"18540544\", alpha=\"0.04\", expect_size=\"9270272\"] \n  30 -> 31 [size =\"9270272\"]\n  30 -> 32 [size =\"9270272\"]\n  31 [size=\"32137216\", alpha=\"0.16\", expect_size=\"16068608\"] \n  32 [size=\"69136384\", alpha=\"0.04\", expect_size=\"34568192\"] \n  32 -> 33 [size =\"34568192\"]\n  33 [size=\"23209984\", alpha=\"0.14\", expect_size=\"11604992\"] \n  33 -> 34 [size =\"11604992\"]\n  33 -> 35 [size =\"11604992\"]\n  34 [size=\"102279168\", alpha=\"0.17\", expect_size=\"51139584\"] \n  35 [size=\"24043520\", alpha=\"0.16\", expect_size=\"12021760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107560960\", alpha=\"0.10\", expect_size=\"43024384\"] \n  1 -> 25 [size =\"43024384\"]\n  1 -> 29 [size =\"43024384\"]\n  1 -> 32 [size =\"43024384\"]\n  2 [size=\"14289920\", alpha=\"0.00\", expect_size=\"5715968\"] \n  2 -> 28 [size =\"5715968\"]\n  2 -> 29 [size =\"5715968\"]\n  2 -> 30 [size =\"5715968\"]\n  2 -> 31 [size =\"5715968\"]\n  3 [size=\"24414720\", alpha=\"0.11\", expect_size=\"9765888\"] \n  3 -> 29 [size =\"9765888\"]\n  3 -> 32 [size =\"9765888\"]\n  3 -> 33 [size =\"9765888\"]\n  4 [size=\"33085440\", alpha=\"0.14\", expect_size=\"13234176\"] \n  4 -> 25 [size =\"13234176\"]\n  4 -> 29 [size =\"13234176\"]\n  4 -> 30 [size =\"13234176\"]\n  4 -> 35 [size =\"13234176\"]\n  5 [size=\"105418240\", alpha=\"0.19\", expect_size=\"42167296\"] \n  5 -> 29 [size =\"42167296\"]\n  5 -> 30 [size =\"42167296\"]\n  5 -> 31 [size =\"42167296\"]\n  5 -> 34 [size =\"42167296\"]\n  6 [size=\"72053760\", alpha=\"0.15\", expect_size=\"28821504\"] \n  6 -> 32 [size =\"28821504\"]\n  6 -> 35 [size =\"28821504\"]\n  7 [size=\"121382400\", alpha=\"0.04\", expect_size=\"48552960\"] \n  7 -> 30 [size =\"48552960\"]\n  7 -> 35 [size =\"48552960\"]\n  8 [size=\"108485120\", alpha=\"0.14\", expect_size=\"43394048\"] \n  8 -> 26 [size =\"43394048\"]\n  8 -> 28 [size =\"43394048\"]\n  8 -> 30 [size =\"43394048\"]\n  9 [size=\"46366720\", alpha=\"0.18\", expect_size=\"18546688\"] \n  9 -> 30 [size =\"18546688\"]\n  10 [size=\"50598400\", alpha=\"0.09\", expect_size=\"20239360\"] \n  10 -> 26 [size =\"20239360\"]\n  10 -> 27 [size =\"20239360\"]\n  10 -> 30 [size =\"20239360\"]\n  10 -> 34 [size =\"20239360\"]\n  11 [size=\"124756480\", alpha=\"0.14\", expect_size=\"49902592\"] \n  11 -> 28 [size =\"49902592\"]\n  11 -> 29 [size =\"49902592\"]\n  11 -> 31 [size =\"49902592\"]\n  11 -> 33 [size =\"49902592\"]\n  12 [size=\"68311040\", alpha=\"0.03\", expect_size=\"27324416\"] \n  12 -> 26 [size =\"27324416\"]\n  12 -> 33 [size =\"27324416\"]\n  12 -> 34 [size =\"27324416\"]\n  12 -> 35 [size =\"27324416\"]\n  13 [size=\"68339200\", alpha=\"0.16\", expect_size=\"27335680\"] \n  13 -> 33 [size =\"27335680\"]\n  13 -> 35 [size =\"27335680\"]\n  14 [size=\"18035200\", alpha=\"0.05\", expect_size=\"7214080\"] \n  14 -> 25 [size =\"7214080\"]\n  14 -> 28 [size =\"7214080\"]\n  14 -> 29 [size =\"7214080\"]\n  14 -> 32 [size =\"7214080\"]\n  15 [size=\"99197440\", alpha=\"0.13\", expect_size=\"39678976\"] \n  15 -> 26 [size =\"39678976\"]\n  15 -> 28 [size =\"39678976\"]\n  15 -> 29 [size =\"39678976\"]\n  15 -> 34 [size =\"39678976\"]\n  15 -> 35 [size =\"39678976\"]\n  16 [size=\"92835840\", alpha=\"0.18\", expect_size=\"37134336\"] \n  16 -> 28 [size =\"37134336\"]\n  16 -> 29 [size =\"37134336\"]\n  16 -> 31 [size =\"37134336\"]\n  16 -> 33 [size =\"37134336\"]\n  16 -> 34 [size =\"37134336\"]\n  17 [size=\"62673920\", alpha=\"0.06\", expect_size=\"25069568\"] \n  17 -> 33 [size =\"25069568\"]\n  18 [size=\"87324160\", alpha=\"0.19\", expect_size=\"34929664\"] \n  18 -> 30 [size =\"34929664\"]\n  19 [size=\"53685760\", alpha=\"0.15\", expect_size=\"21474304\"] \n  19 -> 28 [size =\"21474304\"]\n  20 [size=\"41669120\", alpha=\"0.09\", expect_size=\"16667648\"] \n  20 -> 26 [size =\"16667648\"]\n  20 -> 29 [size =\"16667648\"]\n  20 -> 31 [size =\"16667648\"]\n  20 -> 33 [size =\"16667648\"]\n  21 [size=\"94469120\", alpha=\"0.19\", expect_size=\"37787648\"] \n  21 -> 28 [size =\"37787648\"]\n  21 -> 31 [size =\"37787648\"]\n  21 -> 32 [size =\"37787648\"]\n  22 [size=\"61455360\", alpha=\"0.10\", expect_size=\"24582144\"] \n  22 -> 26 [size =\"24582144\"]\n  22 -> 28 [size =\"24582144\"]\n  22 -> 35 [size =\"24582144\"]\n  23 [size=\"80642560\", alpha=\"0.02\", expect_size=\"32257024\"] \n  23 -> 29 [size =\"32257024\"]\n  23 -> 30 [size =\"32257024\"]\n  23 -> 31 [size =\"32257024\"]\n  23 -> 35 [size =\"32257024\"]\n  24 [size=\"55900160\", alpha=\"0.18\", expect_size=\"22360064\"] \n  24 -> 25 [size =\"22360064\"]\n  24 -> 28 [size =\"22360064\"]\n  25 [size=\"86461440\", alpha=\"0.10\", expect_size=\"34584576\"] \n  26 [size=\"46041600\", alpha=\"0.11\", expect_size=\"18416640\"] \n  27 [size=\"34032640\", alpha=\"0.11\", expect_size=\"13613056\"] \n  28 [size=\"71372800\", alpha=\"0.07\", expect_size=\"28549120\"] \n  29 [size=\"66613760\", alpha=\"0.09\", expect_size=\"26645504\"] \n  30 [size=\"34378240\", alpha=\"0.17\", expect_size=\"13751296\"] \n  31 [size=\"86727680\", alpha=\"0.04\", expect_size=\"34691072\"] \n  32 [size=\"82191360\", alpha=\"0.00\", expect_size=\"32876544\"] \n  33 [size=\"21949440\", alpha=\"0.06\", expect_size=\"8779776\"] \n  34 [size=\"35279360\", alpha=\"0.12\", expect_size=\"14111744\"] \n  35 [size=\"24194560\", alpha=\"0.13\", expect_size=\"9677824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83118080\", alpha=\"0.09\", expect_size=\"24935424\"] \n  1 -> 17 [size =\"24935424\"]\n  1 -> 19 [size =\"24935424\"]\n  1 -> 22 [size =\"24935424\"]\n  1 -> 25 [size =\"24935424\"]\n  1 -> 27 [size =\"24935424\"]\n  1 -> 29 [size =\"24935424\"]\n  1 -> 30 [size =\"24935424\"]\n  2 [size=\"122890240\", alpha=\"0.14\", expect_size=\"36867072\"] \n  2 -> 17 [size =\"36867072\"]\n  2 -> 19 [size =\"36867072\"]\n  2 -> 21 [size =\"36867072\"]\n  2 -> 22 [size =\"36867072\"]\n  2 -> 23 [size =\"36867072\"]\n  2 -> 28 [size =\"36867072\"]\n  2 -> 29 [size =\"36867072\"]\n  2 -> 30 [size =\"36867072\"]\n  3 [size=\"143916373\", alpha=\"0.10\", expect_size=\"43174912\"] \n  3 -> 17 [size =\"43174912\"]\n  3 -> 19 [size =\"43174912\"]\n  3 -> 22 [size =\"43174912\"]\n  3 -> 22 [size =\"43174912\"]\n  3 -> 24 [size =\"43174912\"]\n  3 -> 27 [size =\"43174912\"]\n  3 -> 30 [size =\"43174912\"]\n  3 -> 30 [size =\"43174912\"]\n  3 -> 31 [size =\"43174912\"]\n  4 [size=\"61501440\", alpha=\"0.06\", expect_size=\"18450432\"] \n  4 -> 17 [size =\"18450432\"]\n  4 -> 18 [size =\"18450432\"]\n  4 -> 22 [size =\"18450432\"]\n  4 -> 25 [size =\"18450432\"]\n  4 -> 26 [size =\"18450432\"]\n  4 -> 27 [size =\"18450432\"]\n  4 -> 28 [size =\"18450432\"]\n  4 -> 30 [size =\"18450432\"]\n  4 -> 32 [size =\"18450432\"]\n  5 [size=\"147712000\", alpha=\"0.11\", expect_size=\"44313600\"] \n  5 -> 17 [size =\"44313600\"]\n  5 -> 18 [size =\"44313600\"]\n  5 -> 22 [size =\"44313600\"]\n  5 -> 27 [size =\"44313600\"]\n  5 -> 29 [size =\"44313600\"]\n  5 -> 30 [size =\"44313600\"]\n  5 -> 31 [size =\"44313600\"]\n  6 [size=\"118155947\", alpha=\"0.12\", expect_size=\"35446784\"] \n  6 -> 17 [size =\"35446784\"]\n  6 -> 18 [size =\"35446784\"]\n  6 -> 19 [size =\"35446784\"]\n  6 -> 20 [size =\"35446784\"]\n  6 -> 23 [size =\"35446784\"]\n  6 -> 24 [size =\"35446784\"]\n  6 -> 25 [size =\"35446784\"]\n  6 -> 27 [size =\"35446784\"]\n  6 -> 29 [size =\"35446784\"]\n  7 [size=\"24173227\", alpha=\"0.01\", expect_size=\"7251968\"] \n  7 -> 17 [size =\"7251968\"]\n  7 -> 18 [size =\"7251968\"]\n  7 -> 19 [size =\"7251968\"]\n  7 -> 20 [size =\"7251968\"]\n  7 -> 23 [size =\"7251968\"]\n  7 -> 24 [size =\"7251968\"]\n  7 -> 25 [size =\"7251968\"]\n  7 -> 29 [size =\"7251968\"]\n  7 -> 32 [size =\"7251968\"]\n  8 [size=\"115247787\", alpha=\"0.14\", expect_size=\"34574336\"] \n  8 -> 17 [size =\"34574336\"]\n  8 -> 18 [size =\"34574336\"]\n  8 -> 19 [size =\"34574336\"]\n  8 -> 20 [size =\"34574336\"]\n  8 -> 22 [size =\"34574336\"]\n  8 -> 24 [size =\"34574336\"]\n  8 -> 26 [size =\"34574336\"]\n  8 -> 27 [size =\"34574336\"]\n  8 -> 31 [size =\"34574336\"]\n  9 [size=\"124675413\", alpha=\"0.09\", expect_size=\"37402624\"] \n  9 -> 17 [size =\"37402624\"]\n  9 -> 18 [size =\"37402624\"]\n  9 -> 19 [size =\"37402624\"]\n  9 -> 20 [size =\"37402624\"]\n  9 -> 22 [size =\"37402624\"]\n  9 -> 24 [size =\"37402624\"]\n  9 -> 25 [size =\"37402624\"]\n  9 -> 26 [size =\"37402624\"]\n  9 -> 27 [size =\"37402624\"]\n  10 [size=\"92596907\", alpha=\"0.09\", expect_size=\"27779072\"] \n  10 -> 17 [size =\"27779072\"]\n  10 -> 19 [size =\"27779072\"]\n  10 -> 19 [size =\"27779072\"]\n  10 -> 20 [size =\"27779072\"]\n  10 -> 21 [size =\"27779072\"]\n  10 -> 22 [size =\"27779072\"]\n  10 -> 23 [size =\"27779072\"]\n  10 -> 24 [size =\"27779072\"]\n  10 -> 25 [size =\"27779072\"]\n  10 -> 26 [size =\"27779072\"]\n  10 -> 27 [size =\"27779072\"]\n  10 -> 28 [size =\"27779072\"]\n  11 [size=\"78742187\", alpha=\"0.07\", expect_size=\"23622656\"] \n  11 -> 16 [size =\"23622656\"]\n  11 -> 17 [size =\"23622656\"]\n  11 -> 19 [size =\"23622656\"]\n  11 -> 21 [size =\"23622656\"]\n  11 -> 23 [size =\"23622656\"]\n  11 -> 26 [size =\"23622656\"]\n  11 -> 27 [size =\"23622656\"]\n  11 -> 28 [size =\"23622656\"]\n  11 -> 29 [size =\"23622656\"]\n  11 -> 31 [size =\"23622656\"]\n  12 [size=\"150896640\", alpha=\"0.18\", expect_size=\"45268992\"] \n  12 -> 18 [size =\"45268992\"]\n  12 -> 19 [size =\"45268992\"]\n  12 -> 19 [size =\"45268992\"]\n  12 -> 20 [size =\"45268992\"]\n  12 -> 21 [size =\"45268992\"]\n  12 -> 22 [size =\"45268992\"]\n  12 -> 24 [size =\"45268992\"]\n  12 -> 26 [size =\"45268992\"]\n  12 -> 27 [size =\"45268992\"]\n  12 -> 28 [size =\"45268992\"]\n  12 -> 29 [size =\"45268992\"]\n  13 [size=\"106110293\", alpha=\"0.00\", expect_size=\"31833088\"] \n  13 -> 22 [size =\"31833088\"]\n  13 -> 24 [size =\"31833088\"]\n  13 -> 26 [size =\"31833088\"]\n  13 -> 27 [size =\"31833088\"]\n  13 -> 28 [size =\"31833088\"]\n  13 -> 31 [size =\"31833088\"]\n  14 [size=\"27958613\", alpha=\"0.16\", expect_size=\"8387584\"] \n  14 -> 17 [size =\"8387584\"]\n  14 -> 19 [size =\"8387584\"]\n  14 -> 24 [size =\"8387584\"]\n  14 -> 26 [size =\"8387584\"]\n  14 -> 27 [size =\"8387584\"]\n  14 -> 28 [size =\"8387584\"]\n  14 -> 30 [size =\"8387584\"]\n  15 [size=\"71611733\", alpha=\"0.13\", expect_size=\"21483520\"] \n  15 -> 17 [size =\"21483520\"]\n  15 -> 19 [size =\"21483520\"]\n  15 -> 22 [size =\"21483520\"]\n  15 -> 24 [size =\"21483520\"]\n  15 -> 29 [size =\"21483520\"]\n  16 [size=\"156883627\", alpha=\"0.14\", expect_size=\"47065088\"] \n  17 [size=\"90658133\", alpha=\"0.17\", expect_size=\"27197440\"] \n  17 -> 34 [size =\"27197440\"]\n  18 [size=\"101669547\", alpha=\"0.01\", expect_size=\"30500864\"] \n  18 -> 33 [size =\"30500864\"]\n  19 [size=\"58255360\", alpha=\"0.03\", expect_size=\"17476608\"] \n  19 -> 33 [size =\"17476608\"]\n  19 -> 35 [size =\"17476608\"]\n  20 [size=\"132471467\", alpha=\"0.00\", expect_size=\"39741440\"] \n  20 -> 33 [size =\"39741440\"]\n  20 -> 35 [size =\"39741440\"]\n  21 [size=\"42987520\", alpha=\"0.06\", expect_size=\"12896256\"] \n  21 -> 33 [size =\"12896256\"]\n  21 -> 35 [size =\"12896256\"]\n  22 [size=\"94228480\", alpha=\"0.05\", expect_size=\"28268544\"] \n  22 -> 35 [size =\"28268544\"]\n  23 [size=\"81974613\", alpha=\"0.01\", expect_size=\"24592384\"] \n  23 -> 33 [size =\"24592384\"]\n  23 -> 35 [size =\"24592384\"]\n  24 [size=\"85377707\", alpha=\"0.01\", expect_size=\"25613312\"] \n  24 -> 35 [size =\"25613312\"]\n  25 [size=\"57292800\", alpha=\"0.19\", expect_size=\"17187840\"] \n  25 -> 34 [size =\"17187840\"]\n  25 -> 35 [size =\"17187840\"]\n  26 [size=\"158027093\", alpha=\"0.09\", expect_size=\"47408128\"] \n  26 -> 35 [size =\"47408128\"]\n  27 [size=\"113974613\", alpha=\"0.00\", expect_size=\"34192384\"] \n  28 [size=\"90088107\", alpha=\"0.04\", expect_size=\"27026432\"] \n  28 -> 35 [size =\"27026432\"]\n  29 [size=\"96037547\", alpha=\"0.01\", expect_size=\"28811264\"] \n  30 [size=\"118118400\", alpha=\"0.08\", expect_size=\"35435520\"] \n  30 -> 35 [size =\"35435520\"]\n  31 [size=\"120152747\", alpha=\"0.02\", expect_size=\"36045824\"] \n  31 -> 35 [size =\"36045824\"]\n  32 [size=\"167785813\", alpha=\"0.14\", expect_size=\"50335744\"] \n  33 [size=\"51858773\", alpha=\"0.16\", expect_size=\"15557632\"] \n  34 [size=\"56104960\", alpha=\"0.00\", expect_size=\"16831488\"] \n  35 [size=\"67259733\", alpha=\"0.11\", expect_size=\"20177920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14602240\", alpha=\"0.15\", expect_size=\"5840896\"] \n  1 -> 26 [size =\"5840896\"]\n  1 -> 28 [size =\"5840896\"]\n  1 -> 30 [size =\"5840896\"]\n  1 -> 35 [size =\"5840896\"]\n  2 [size=\"59722240\", alpha=\"0.04\", expect_size=\"23888896\"] \n  2 -> 26 [size =\"23888896\"]\n  2 -> 30 [size =\"23888896\"]\n  2 -> 35 [size =\"23888896\"]\n  3 [size=\"109862400\", alpha=\"0.12\", expect_size=\"43944960\"] \n  3 -> 26 [size =\"43944960\"]\n  3 -> 30 [size =\"43944960\"]\n  3 -> 35 [size =\"43944960\"]\n  4 [size=\"50854400\", alpha=\"0.18\", expect_size=\"20341760\"] \n  4 -> 24 [size =\"20341760\"]\n  4 -> 26 [size =\"20341760\"]\n  4 -> 32 [size =\"20341760\"]\n  4 -> 34 [size =\"20341760\"]\n  5 [size=\"42926080\", alpha=\"0.04\", expect_size=\"17170432\"] \n  5 -> 26 [size =\"17170432\"]\n  5 -> 26 [size =\"17170432\"]\n  5 -> 30 [size =\"17170432\"]\n  5 -> 31 [size =\"17170432\"]\n  6 [size=\"20367360\", alpha=\"0.08\", expect_size=\"8146944\"] \n  6 -> 26 [size =\"8146944\"]\n  6 -> 28 [size =\"8146944\"]\n  6 -> 31 [size =\"8146944\"]\n  6 -> 32 [size =\"8146944\"]\n  6 -> 34 [size =\"8146944\"]\n  7 [size=\"38254080\", alpha=\"0.10\", expect_size=\"15301632\"] \n  7 -> 26 [size =\"15301632\"]\n  7 -> 28 [size =\"15301632\"]\n  7 -> 33 [size =\"15301632\"]\n  7 -> 34 [size =\"15301632\"]\n  8 [size=\"107499520\", alpha=\"0.03\", expect_size=\"42999808\"] \n  8 -> 25 [size =\"42999808\"]\n  8 -> 26 [size =\"42999808\"]\n  8 -> 28 [size =\"42999808\"]\n  8 -> 34 [size =\"42999808\"]\n  8 -> 35 [size =\"42999808\"]\n  9 [size=\"87377920\", alpha=\"0.05\", expect_size=\"34951168\"] \n  9 -> 25 [size =\"34951168\"]\n  9 -> 26 [size =\"34951168\"]\n  9 -> 28 [size =\"34951168\"]\n  9 -> 30 [size =\"34951168\"]\n  9 -> 31 [size =\"34951168\"]\n  9 -> 35 [size =\"34951168\"]\n  10 [size=\"22947840\", alpha=\"0.15\", expect_size=\"9179136\"] \n  10 -> 25 [size =\"9179136\"]\n  10 -> 26 [size =\"9179136\"]\n  10 -> 28 [size =\"9179136\"]\n  10 -> 29 [size =\"9179136\"]\n  10 -> 30 [size =\"9179136\"]\n  10 -> 32 [size =\"9179136\"]\n  10 -> 35 [size =\"9179136\"]\n  11 [size=\"115287040\", alpha=\"0.16\", expect_size=\"46114816\"] \n  11 -> 24 [size =\"46114816\"]\n  11 -> 25 [size =\"46114816\"]\n  11 -> 26 [size =\"46114816\"]\n  11 -> 28 [size =\"46114816\"]\n  11 -> 30 [size =\"46114816\"]\n  11 -> 34 [size =\"46114816\"]\n  11 -> 35 [size =\"46114816\"]\n  12 [size=\"86935040\", alpha=\"0.14\", expect_size=\"34774016\"] \n  12 -> 24 [size =\"34774016\"]\n  12 -> 26 [size =\"34774016\"]\n  12 -> 26 [size =\"34774016\"]\n  12 -> 28 [size =\"34774016\"]\n  12 -> 30 [size =\"34774016\"]\n  12 -> 31 [size =\"34774016\"]\n  13 [size=\"108472320\", alpha=\"0.13\", expect_size=\"43388928\"] \n  13 -> 26 [size =\"43388928\"]\n  13 -> 26 [size =\"43388928\"]\n  13 -> 28 [size =\"43388928\"]\n  13 -> 28 [size =\"43388928\"]\n  13 -> 30 [size =\"43388928\"]\n  13 -> 31 [size =\"43388928\"]\n  14 [size=\"62927360\", alpha=\"0.05\", expect_size=\"25170944\"] \n  14 -> 30 [size =\"25170944\"]\n  14 -> 31 [size =\"25170944\"]\n  14 -> 35 [size =\"25170944\"]\n  15 [size=\"50869760\", alpha=\"0.09\", expect_size=\"20347904\"] \n  15 -> 30 [size =\"20347904\"]\n  15 -> 31 [size =\"20347904\"]\n  15 -> 32 [size =\"20347904\"]\n  15 -> 34 [size =\"20347904\"]\n  15 -> 35 [size =\"20347904\"]\n  16 [size=\"71562240\", alpha=\"0.20\", expect_size=\"28624896\"] \n  16 -> 26 [size =\"28624896\"]\n  16 -> 27 [size =\"28624896\"]\n  16 -> 28 [size =\"28624896\"]\n  16 -> 30 [size =\"28624896\"]\n  16 -> 31 [size =\"28624896\"]\n  16 -> 32 [size =\"28624896\"]\n  16 -> 33 [size =\"28624896\"]\n  17 [size=\"118133760\", alpha=\"0.02\", expect_size=\"47253504\"] \n  17 -> 26 [size =\"47253504\"]\n  17 -> 28 [size =\"47253504\"]\n  17 -> 31 [size =\"47253504\"]\n  17 -> 32 [size =\"47253504\"]\n  18 [size=\"61928960\", alpha=\"0.14\", expect_size=\"24771584\"] \n  18 -> 26 [size =\"24771584\"]\n  18 -> 32 [size =\"24771584\"]\n  19 [size=\"77923840\", alpha=\"0.15\", expect_size=\"31169536\"] \n  19 -> 25 [size =\"31169536\"]\n  19 -> 30 [size =\"31169536\"]\n  19 -> 32 [size =\"31169536\"]\n  19 -> 35 [size =\"31169536\"]\n  20 [size=\"109998080\", alpha=\"0.18\", expect_size=\"43999232\"] \n  20 -> 24 [size =\"43999232\"]\n  20 -> 25 [size =\"43999232\"]\n  20 -> 28 [size =\"43999232\"]\n  20 -> 32 [size =\"43999232\"]\n  21 [size=\"81080320\", alpha=\"0.02\", expect_size=\"32432128\"] \n  21 -> 26 [size =\"32432128\"]\n  21 -> 28 [size =\"32432128\"]\n  21 -> 32 [size =\"32432128\"]\n  21 -> 32 [size =\"32432128\"]\n  21 -> 35 [size =\"32432128\"]\n  22 [size=\"58403840\", alpha=\"0.14\", expect_size=\"23361536\"] \n  22 -> 31 [size =\"23361536\"]\n  22 -> 32 [size =\"23361536\"]\n  22 -> 34 [size =\"23361536\"]\n  23 [size=\"22346240\", alpha=\"0.03\", expect_size=\"8938496\"] \n  23 -> 31 [size =\"8938496\"]\n  24 [size=\"100277760\", alpha=\"0.17\", expect_size=\"40111104\"] \n  25 [size=\"127969280\", alpha=\"0.17\", expect_size=\"51187712\"] \n  26 [size=\"65664000\", alpha=\"0.18\", expect_size=\"26265600\"] \n  27 [size=\"64038400\", alpha=\"0.03\", expect_size=\"25615360\"] \n  28 [size=\"78515200\", alpha=\"0.04\", expect_size=\"31406080\"] \n  29 [size=\"41497600\", alpha=\"0.18\", expect_size=\"16599040\"] \n  30 [size=\"128573440\", alpha=\"0.14\", expect_size=\"51429376\"] \n  31 [size=\"119526400\", alpha=\"0.06\", expect_size=\"47810560\"] \n  32 [size=\"15856640\", alpha=\"0.12\", expect_size=\"6342656\"] \n  33 [size=\"100108800\", alpha=\"0.13\", expect_size=\"40043520\"] \n  34 [size=\"115146240\", alpha=\"0.03\", expect_size=\"46058496\"] \n  35 [size=\"98716160\", alpha=\"0.20\", expect_size=\"39486464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75634688\", alpha=\"0.17\", expect_size=\"37817344\"] \n  1 -> 24 [size =\"37817344\"]\n  1 -> 29 [size =\"37817344\"]\n  2 [size=\"20424704\", alpha=\"0.09\", expect_size=\"10212352\"] \n  2 -> 18 [size =\"10212352\"]\n  2 -> 21 [size =\"10212352\"]\n  2 -> 23 [size =\"10212352\"]\n  2 -> 24 [size =\"10212352\"]\n  2 -> 27 [size =\"10212352\"]\n  2 -> 28 [size =\"10212352\"]\n  3 [size=\"22919168\", alpha=\"0.03\", expect_size=\"11459584\"] \n  3 -> 17 [size =\"11459584\"]\n  3 -> 18 [size =\"11459584\"]\n  3 -> 27 [size =\"11459584\"]\n  3 -> 28 [size =\"11459584\"]\n  3 -> 29 [size =\"11459584\"]\n  4 [size=\"45600768\", alpha=\"0.15\", expect_size=\"22800384\"] \n  4 -> 17 [size =\"22800384\"]\n  4 -> 19 [size =\"22800384\"]\n  4 -> 26 [size =\"22800384\"]\n  4 -> 29 [size =\"22800384\"]\n  5 [size=\"71905280\", alpha=\"0.02\", expect_size=\"35952640\"] \n  5 -> 24 [size =\"35952640\"]\n  5 -> 29 [size =\"35952640\"]\n  6 [size=\"94869504\", alpha=\"0.07\", expect_size=\"47434752\"] \n  6 -> 17 [size =\"47434752\"]\n  6 -> 18 [size =\"47434752\"]\n  6 -> 20 [size =\"47434752\"]\n  6 -> 24 [size =\"47434752\"]\n  7 [size=\"32843776\", alpha=\"0.01\", expect_size=\"16421888\"] \n  7 -> 18 [size =\"16421888\"]\n  7 -> 19 [size =\"16421888\"]\n  7 -> 24 [size =\"16421888\"]\n  7 -> 30 [size =\"16421888\"]\n  8 [size=\"58882048\", alpha=\"0.01\", expect_size=\"29441024\"] \n  8 -> 18 [size =\"29441024\"]\n  8 -> 24 [size =\"29441024\"]\n  8 -> 25 [size =\"29441024\"]\n  8 -> 26 [size =\"29441024\"]\n  8 -> 28 [size =\"29441024\"]\n  9 [size=\"98328576\", alpha=\"0.14\", expect_size=\"49164288\"] \n  9 -> 18 [size =\"49164288\"]\n  9 -> 19 [size =\"49164288\"]\n  9 -> 24 [size =\"49164288\"]\n  9 -> 28 [size =\"49164288\"]\n  9 -> 29 [size =\"49164288\"]\n  10 [size=\"48445440\", alpha=\"0.16\", expect_size=\"24222720\"] \n  10 -> 18 [size =\"24222720\"]\n  10 -> 28 [size =\"24222720\"]\n  11 [size=\"12048384\", alpha=\"0.08\", expect_size=\"6024192\"] \n  11 -> 20 [size =\"6024192\"]\n  11 -> 21 [size =\"6024192\"]\n  11 -> 28 [size =\"6024192\"]\n  12 [size=\"90591232\", alpha=\"0.04\", expect_size=\"45295616\"] \n  12 -> 20 [size =\"45295616\"]\n  12 -> 22 [size =\"45295616\"]\n  12 -> 23 [size =\"45295616\"]\n  12 -> 24 [size =\"45295616\"]\n  13 [size=\"36380672\", alpha=\"0.06\", expect_size=\"18190336\"] \n  13 -> 23 [size =\"18190336\"]\n  13 -> 28 [size =\"18190336\"]\n  13 -> 29 [size =\"18190336\"]\n  14 [size=\"49299456\", alpha=\"0.06\", expect_size=\"24649728\"] \n  14 -> 23 [size =\"24649728\"]\n  15 [size=\"23582720\", alpha=\"0.17\", expect_size=\"11791360\"] \n  15 -> 20 [size =\"11791360\"]\n  15 -> 30 [size =\"11791360\"]\n  16 [size=\"31105024\", alpha=\"0.01\", expect_size=\"15552512\"] \n  16 -> 18 [size =\"15552512\"]\n  16 -> 30 [size =\"15552512\"]\n  17 [size=\"63688704\", alpha=\"0.09\", expect_size=\"31844352\"] \n  18 [size=\"66244608\", alpha=\"0.11\", expect_size=\"33122304\"] \n  18 -> 32 [size =\"33122304\"]\n  18 -> 35 [size =\"33122304\"]\n  19 [size=\"69132288\", alpha=\"0.20\", expect_size=\"34566144\"] \n  20 [size=\"39766016\", alpha=\"0.12\", expect_size=\"19883008\"] \n  20 -> 34 [size =\"19883008\"]\n  21 [size=\"20258816\", alpha=\"0.19\", expect_size=\"10129408\"] \n  21 -> 32 [size =\"10129408\"]\n  22 [size=\"59502592\", alpha=\"0.08\", expect_size=\"29751296\"] \n  22 -> 31 [size =\"29751296\"]\n  22 -> 32 [size =\"29751296\"]\n  22 -> 34 [size =\"29751296\"]\n  23 [size=\"76722176\", alpha=\"0.19\", expect_size=\"38361088\"] \n  23 -> 35 [size =\"38361088\"]\n  24 [size=\"11448320\", alpha=\"0.18\", expect_size=\"5724160\"] \n  24 -> 35 [size =\"5724160\"]\n  25 [size=\"39911424\", alpha=\"0.09\", expect_size=\"19955712\"] \n  26 [size=\"23959552\", alpha=\"0.19\", expect_size=\"11979776\"] \n  26 -> 32 [size =\"11979776\"]\n  26 -> 35 [size =\"11979776\"]\n  27 [size=\"27627520\", alpha=\"0.13\", expect_size=\"13813760\"] \n  28 [size=\"70649856\", alpha=\"0.18\", expect_size=\"35324928\"] \n  29 [size=\"26880000\", alpha=\"0.01\", expect_size=\"13440000\"] \n  29 -> 32 [size =\"13440000\"]\n  29 -> 34 [size =\"13440000\"]\n  30 [size=\"24729600\", alpha=\"0.13\", expect_size=\"12364800\"] \n  30 -> 32 [size =\"12364800\"]\n  30 -> 33 [size =\"12364800\"]\n  30 -> 34 [size =\"12364800\"]\n  31 [size=\"82821120\", alpha=\"0.04\", expect_size=\"41410560\"] \n  32 [size=\"77563904\", alpha=\"0.13\", expect_size=\"38781952\"] \n  33 [size=\"18892800\", alpha=\"0.07\", expect_size=\"9446400\"] \n  34 [size=\"13617152\", alpha=\"0.09\", expect_size=\"6808576\"] \n  35 [size=\"96854016\", alpha=\"0.15\", expect_size=\"48427008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42147840\", alpha=\"0.14\", expect_size=\"16859136\"] \n  1 -> 2 [size =\"16859136\"]\n  2 [size=\"25505280\", alpha=\"0.00\", expect_size=\"10202112\"] \n  2 -> 3 [size =\"10202112\"]\n  3 [size=\"42915840\", alpha=\"0.14\", expect_size=\"17166336\"] \n  3 -> 4 [size =\"17166336\"]\n  4 [size=\"54737920\", alpha=\"0.05\", expect_size=\"21895168\"] \n  4 -> 5 [size =\"21895168\"]\n  5 [size=\"101532160\", alpha=\"0.01\", expect_size=\"40612864\"] \n  5 -> 6 [size =\"40612864\"]\n  6 [size=\"46855680\", alpha=\"0.08\", expect_size=\"18742272\"] \n  6 -> 7 [size =\"18742272\"]\n  7 [size=\"85616640\", alpha=\"0.07\", expect_size=\"34246656\"] \n  7 -> 8 [size =\"34246656\"]\n  8 [size=\"32051200\", alpha=\"0.14\", expect_size=\"12820480\"] \n  8 -> 9 [size =\"12820480\"]\n  9 [size=\"106880000\", alpha=\"0.07\", expect_size=\"42752000\"] \n  9 -> 10 [size =\"42752000\"]\n  10 [size=\"53765120\", alpha=\"0.14\", expect_size=\"21506048\"] \n  10 -> 11 [size =\"21506048\"]\n  11 [size=\"39820800\", alpha=\"0.06\", expect_size=\"15928320\"] \n  11 -> 12 [size =\"15928320\"]\n  12 [size=\"123671040\", alpha=\"0.20\", expect_size=\"49468416\"] \n  12 -> 13 [size =\"49468416\"]\n  13 [size=\"125294080\", alpha=\"0.03\", expect_size=\"50117632\"] \n  13 -> 14 [size =\"50117632\"]\n  14 [size=\"88785920\", alpha=\"0.19\", expect_size=\"35514368\"] \n  14 -> 15 [size =\"35514368\"]\n  15 [size=\"119795200\", alpha=\"0.18\", expect_size=\"47918080\"] \n  15 -> 16 [size =\"47918080\"]\n  16 [size=\"125227520\", alpha=\"0.07\", expect_size=\"50091008\"] \n  16 -> 17 [size =\"50091008\"]\n  17 [size=\"53780480\", alpha=\"0.02\", expect_size=\"21512192\"] \n  17 -> 18 [size =\"21512192\"]\n  18 [size=\"97382400\", alpha=\"0.15\", expect_size=\"38952960\"] \n  18 -> 19 [size =\"38952960\"]\n  19 [size=\"61414400\", alpha=\"0.05\", expect_size=\"24565760\"] \n  19 -> 20 [size =\"24565760\"]\n  20 [size=\"100748800\", alpha=\"0.10\", expect_size=\"40299520\"] \n  20 -> 21 [size =\"40299520\"]\n  21 [size=\"64396800\", alpha=\"0.20\", expect_size=\"25758720\"] \n  21 -> 22 [size =\"25758720\"]\n  22 [size=\"102707200\", alpha=\"0.12\", expect_size=\"41082880\"] \n  22 -> 23 [size =\"41082880\"]\n  23 [size=\"102115840\", alpha=\"0.09\", expect_size=\"40846336\"] \n  23 -> 24 [size =\"40846336\"]\n  24 [size=\"117081600\", alpha=\"0.13\", expect_size=\"46832640\"] \n  24 -> 25 [size =\"46832640\"]\n  25 [size=\"113635840\", alpha=\"0.12\", expect_size=\"45454336\"] \n  25 -> 26 [size =\"45454336\"]\n  26 [size=\"104752640\", alpha=\"0.17\", expect_size=\"41901056\"] \n  26 -> 27 [size =\"41901056\"]\n  27 [size=\"30540800\", alpha=\"0.14\", expect_size=\"12216320\"] \n  27 -> 28 [size =\"12216320\"]\n  28 [size=\"41098240\", alpha=\"0.14\", expect_size=\"16439296\"] \n  28 -> 29 [size =\"16439296\"]\n  29 [size=\"131008000\", alpha=\"0.11\", expect_size=\"52403200\"] \n  29 -> 30 [size =\"52403200\"]\n  30 [size=\"43304960\", alpha=\"0.14\", expect_size=\"17321984\"] \n  30 -> 31 [size =\"17321984\"]\n  31 [size=\"102835200\", alpha=\"0.01\", expect_size=\"41134080\"] \n  31 -> 32 [size =\"41134080\"]\n  32 [size=\"102707200\", alpha=\"0.08\", expect_size=\"41082880\"] \n  32 -> 33 [size =\"41082880\"]\n  33 [size=\"55321600\", alpha=\"0.13\", expect_size=\"22128640\"] \n  33 -> 34 [size =\"22128640\"]\n  34 [size=\"108454400\", alpha=\"0.11\", expect_size=\"43381760\"] \n  34 -> 35 [size =\"43381760\"]\n  35 [size=\"67806720\", alpha=\"0.08\", expect_size=\"27122688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83650560\", alpha=\"0.02\", expect_size=\"41825280\"] \n  2 [size=\"59561984\", alpha=\"0.17\", expect_size=\"29780992\"] \n  2 -> 3 [size =\"29780992\"]\n  3 [size=\"52461568\", alpha=\"0.05\", expect_size=\"26230784\"] \n  3 -> 4 [size =\"26230784\"]\n  4 [size=\"42342400\", alpha=\"0.07\", expect_size=\"21171200\"] \n  4 -> 5 [size =\"21171200\"]\n  4 -> 6 [size =\"21171200\"]\n  5 [size=\"70664192\", alpha=\"0.15\", expect_size=\"35332096\"] \n  5 -> 7 [size =\"35332096\"]\n  6 [size=\"103698432\", alpha=\"0.08\", expect_size=\"51849216\"] \n  7 [size=\"81952768\", alpha=\"0.15\", expect_size=\"40976384\"] \n  7 -> 8 [size =\"40976384\"]\n  8 [size=\"84267008\", alpha=\"0.13\", expect_size=\"42133504\"] \n  8 -> 9 [size =\"42133504\"]\n  9 [size=\"67862528\", alpha=\"0.17\", expect_size=\"33931264\"] \n  9 -> 10 [size =\"33931264\"]\n  9 -> 11 [size =\"33931264\"]\n  10 [size=\"74100736\", alpha=\"0.19\", expect_size=\"37050368\"] \n  10 -> 12 [size =\"37050368\"]\n  11 [size=\"31653888\", alpha=\"0.18\", expect_size=\"15826944\"] \n  12 [size=\"41582592\", alpha=\"0.09\", expect_size=\"20791296\"] \n  12 -> 13 [size =\"20791296\"]\n  13 [size=\"29046784\", alpha=\"0.10\", expect_size=\"14523392\"] \n  13 -> 14 [size =\"14523392\"]\n  14 [size=\"52107264\", alpha=\"0.20\", expect_size=\"26053632\"] \n  14 -> 15 [size =\"26053632\"]\n  14 -> 16 [size =\"26053632\"]\n  15 [size=\"85657600\", alpha=\"0.05\", expect_size=\"42828800\"] \n  15 -> 17 [size =\"42828800\"]\n  15 -> 18 [size =\"42828800\"]\n  16 [size=\"64288768\", alpha=\"0.16\", expect_size=\"32144384\"] \n  16 -> 17 [size =\"32144384\"]\n  16 -> 18 [size =\"32144384\"]\n  17 [size=\"100810752\", alpha=\"0.06\", expect_size=\"50405376\"] \n  18 [size=\"77295616\", alpha=\"0.04\", expect_size=\"38647808\"] \n  18 -> 19 [size =\"38647808\"]\n  19 [size=\"46260224\", alpha=\"0.16\", expect_size=\"23130112\"] \n  19 -> 20 [size =\"23130112\"]\n  20 [size=\"32202752\", alpha=\"0.05\", expect_size=\"16101376\"] \n  20 -> 21 [size =\"16101376\"]\n  21 [size=\"25942016\", alpha=\"0.10\", expect_size=\"12971008\"] \n  21 -> 22 [size =\"12971008\"]\n  22 [size=\"17750016\", alpha=\"0.04\", expect_size=\"8875008\"] \n  22 -> 23 [size =\"8875008\"]\n  22 -> 24 [size =\"8875008\"]\n  23 [size=\"62181376\", alpha=\"0.08\", expect_size=\"31090688\"] \n  23 -> 25 [size =\"31090688\"]\n  24 [size=\"16437248\", alpha=\"0.18\", expect_size=\"8218624\"] \n  24 -> 26 [size =\"8218624\"]\n  25 [size=\"15560704\", alpha=\"0.01\", expect_size=\"7780352\"] \n  25 -> 27 [size =\"7780352\"]\n  25 -> 28 [size =\"7780352\"]\n  26 [size=\"39997440\", alpha=\"0.04\", expect_size=\"19998720\"] \n  27 [size=\"19560448\", alpha=\"0.02\", expect_size=\"9780224\"] \n  28 [size=\"49520640\", alpha=\"0.16\", expect_size=\"24760320\"] \n  28 -> 29 [size =\"24760320\"]\n  29 [size=\"68976640\", alpha=\"0.02\", expect_size=\"34488320\"] \n  29 -> 30 [size =\"34488320\"]\n  30 [size=\"51867648\", alpha=\"0.01\", expect_size=\"25933824\"] \n  30 -> 31 [size =\"25933824\"]\n  30 -> 32 [size =\"25933824\"]\n  31 [size=\"76349440\", alpha=\"0.05\", expect_size=\"38174720\"] \n  32 [size=\"26845184\", alpha=\"0.15\", expect_size=\"13422592\"] \n  32 -> 33 [size =\"13422592\"]\n  33 [size=\"46804992\", alpha=\"0.09\", expect_size=\"23402496\"] \n  33 -> 34 [size =\"23402496\"]\n  33 -> 35 [size =\"23402496\"]\n  34 [size=\"83832832\", alpha=\"0.13\", expect_size=\"41916416\"] \n  35 [size=\"75413504\", alpha=\"0.12\", expect_size=\"37706752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88406016\", alpha=\"0.07\", expect_size=\"44203008\"] \n  1 -> 25 [size =\"44203008\"]\n  1 -> 28 [size =\"44203008\"]\n  1 -> 30 [size =\"44203008\"]\n  1 -> 31 [size =\"44203008\"]\n  1 -> 32 [size =\"44203008\"]\n  1 -> 32 [size =\"44203008\"]\n  1 -> 34 [size =\"44203008\"]\n  2 [size=\"78108672\", alpha=\"0.09\", expect_size=\"39054336\"] \n  2 -> 26 [size =\"39054336\"]\n  2 -> 32 [size =\"39054336\"]\n  2 -> 33 [size =\"39054336\"]\n  2 -> 34 [size =\"39054336\"]\n  2 -> 35 [size =\"39054336\"]\n  3 [size=\"24530944\", alpha=\"0.03\", expect_size=\"12265472\"] \n  3 -> 30 [size =\"12265472\"]\n  3 -> 32 [size =\"12265472\"]\n  3 -> 33 [size =\"12265472\"]\n  3 -> 34 [size =\"12265472\"]\n  4 [size=\"84670464\", alpha=\"0.04\", expect_size=\"42335232\"] \n  4 -> 28 [size =\"42335232\"]\n  4 -> 32 [size =\"42335232\"]\n  4 -> 34 [size =\"42335232\"]\n  4 -> 34 [size =\"42335232\"]\n  5 [size=\"76167168\", alpha=\"0.15\", expect_size=\"38083584\"] \n  5 -> 28 [size =\"38083584\"]\n  5 -> 31 [size =\"38083584\"]\n  5 -> 32 [size =\"38083584\"]\n  5 -> 33 [size =\"38083584\"]\n  6 [size=\"23633920\", alpha=\"0.07\", expect_size=\"11816960\"] \n  6 -> 28 [size =\"11816960\"]\n  6 -> 30 [size =\"11816960\"]\n  6 -> 31 [size =\"11816960\"]\n  7 [size=\"70680576\", alpha=\"0.15\", expect_size=\"35340288\"] \n  7 -> 25 [size =\"35340288\"]\n  7 -> 32 [size =\"35340288\"]\n  7 -> 33 [size =\"35340288\"]\n  7 -> 35 [size =\"35340288\"]\n  8 [size=\"59123712\", alpha=\"0.00\", expect_size=\"29561856\"] \n  8 -> 26 [size =\"29561856\"]\n  8 -> 30 [size =\"29561856\"]\n  8 -> 31 [size =\"29561856\"]\n  8 -> 32 [size =\"29561856\"]\n  8 -> 33 [size =\"29561856\"]\n  9 [size=\"45809664\", alpha=\"0.16\", expect_size=\"22904832\"] \n  9 -> 29 [size =\"22904832\"]\n  9 -> 30 [size =\"22904832\"]\n  9 -> 32 [size =\"22904832\"]\n  9 -> 33 [size =\"22904832\"]\n  10 [size=\"52922368\", alpha=\"0.09\", expect_size=\"26461184\"] \n  10 -> 28 [size =\"26461184\"]\n  10 -> 32 [size =\"26461184\"]\n  10 -> 34 [size =\"26461184\"]\n  10 -> 35 [size =\"26461184\"]\n  11 [size=\"77254656\", alpha=\"0.08\", expect_size=\"38627328\"] \n  11 -> 25 [size =\"38627328\"]\n  11 -> 31 [size =\"38627328\"]\n  12 [size=\"16836608\", alpha=\"0.09\", expect_size=\"8418304\"] \n  12 -> 25 [size =\"8418304\"]\n  12 -> 31 [size =\"8418304\"]\n  12 -> 34 [size =\"8418304\"]\n  13 [size=\"59115520\", alpha=\"0.19\", expect_size=\"29557760\"] \n  13 -> 25 [size =\"29557760\"]\n  13 -> 28 [size =\"29557760\"]\n  13 -> 31 [size =\"29557760\"]\n  13 -> 33 [size =\"29557760\"]\n  14 [size=\"74704896\", alpha=\"0.08\", expect_size=\"37352448\"] \n  14 -> 25 [size =\"37352448\"]\n  14 -> 30 [size =\"37352448\"]\n  14 -> 33 [size =\"37352448\"]\n  15 [size=\"93769728\", alpha=\"0.08\", expect_size=\"46884864\"] \n  15 -> 25 [size =\"46884864\"]\n  15 -> 28 [size =\"46884864\"]\n  15 -> 30 [size =\"46884864\"]\n  15 -> 31 [size =\"46884864\"]\n  15 -> 33 [size =\"46884864\"]\n  16 [size=\"70895616\", alpha=\"0.01\", expect_size=\"35447808\"] \n  16 -> 25 [size =\"35447808\"]\n  16 -> 27 [size =\"35447808\"]\n  16 -> 30 [size =\"35447808\"]\n  16 -> 31 [size =\"35447808\"]\n  16 -> 32 [size =\"35447808\"]\n  16 -> 34 [size =\"35447808\"]\n  16 -> 35 [size =\"35447808\"]\n  17 [size=\"104613888\", alpha=\"0.11\", expect_size=\"52306944\"] \n  17 -> 30 [size =\"52306944\"]\n  17 -> 35 [size =\"52306944\"]\n  18 [size=\"79190016\", alpha=\"0.19\", expect_size=\"39595008\"] \n  18 -> 25 [size =\"39595008\"]\n  18 -> 28 [size =\"39595008\"]\n  18 -> 29 [size =\"39595008\"]\n  18 -> 30 [size =\"39595008\"]\n  18 -> 33 [size =\"39595008\"]\n  18 -> 34 [size =\"39595008\"]\n  18 -> 35 [size =\"39595008\"]\n  19 [size=\"79198208\", alpha=\"0.14\", expect_size=\"39599104\"] \n  19 -> 28 [size =\"39599104\"]\n  19 -> 28 [size =\"39599104\"]\n  19 -> 30 [size =\"39599104\"]\n  19 -> 30 [size =\"39599104\"]\n  19 -> 33 [size =\"39599104\"]\n  19 -> 35 [size =\"39599104\"]\n  20 [size=\"61638656\", alpha=\"0.11\", expect_size=\"30819328\"] \n  20 -> 29 [size =\"30819328\"]\n  20 -> 30 [size =\"30819328\"]\n  20 -> 33 [size =\"30819328\"]\n  20 -> 35 [size =\"30819328\"]\n  21 [size=\"103626752\", alpha=\"0.05\", expect_size=\"51813376\"] \n  21 -> 26 [size =\"51813376\"]\n  21 -> 32 [size =\"51813376\"]\n  21 -> 33 [size =\"51813376\"]\n  21 -> 34 [size =\"51813376\"]\n  21 -> 35 [size =\"51813376\"]\n  22 [size=\"48500736\", alpha=\"0.13\", expect_size=\"24250368\"] \n  22 -> 29 [size =\"24250368\"]\n  22 -> 32 [size =\"24250368\"]\n  22 -> 33 [size =\"24250368\"]\n  22 -> 34 [size =\"24250368\"]\n  22 -> 35 [size =\"24250368\"]\n  23 [size=\"92426240\", alpha=\"0.04\", expect_size=\"46213120\"] \n  23 -> 30 [size =\"46213120\"]\n  23 -> 33 [size =\"46213120\"]\n  23 -> 33 [size =\"46213120\"]\n  23 -> 34 [size =\"46213120\"]\n  24 [size=\"86398976\", alpha=\"0.11\", expect_size=\"43199488\"] \n  24 -> 25 [size =\"43199488\"]\n  24 -> 26 [size =\"43199488\"]\n  24 -> 29 [size =\"43199488\"]\n  24 -> 30 [size =\"43199488\"]\n  24 -> 31 [size =\"43199488\"]\n  24 -> 32 [size =\"43199488\"]\n  24 -> 34 [size =\"43199488\"]\n  25 [size=\"31080448\", alpha=\"0.12\", expect_size=\"15540224\"] \n  26 [size=\"69177344\", alpha=\"0.16\", expect_size=\"34588672\"] \n  27 [size=\"75935744\", alpha=\"0.12\", expect_size=\"37967872\"] \n  28 [size=\"31275008\", alpha=\"0.19\", expect_size=\"15637504\"] \n  29 [size=\"27480064\", alpha=\"0.13\", expect_size=\"13740032\"] \n  30 [size=\"91183104\", alpha=\"0.16\", expect_size=\"45591552\"] \n  31 [size=\"48193536\", alpha=\"0.13\", expect_size=\"24096768\"] \n  32 [size=\"70807552\", alpha=\"0.12\", expect_size=\"35403776\"] \n  33 [size=\"37900288\", alpha=\"0.01\", expect_size=\"18950144\"] \n  34 [size=\"57892864\", alpha=\"0.04\", expect_size=\"28946432\"] \n  35 [size=\"16226304\", alpha=\"0.04\", expect_size=\"8113152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37120000\", alpha=\"0.10\", expect_size=\"18560000\"] \n  1 -> 3 [size =\"18560000\"]\n  2 [size=\"63625216\", alpha=\"0.07\", expect_size=\"31812608\"] \n  2 -> 3 [size =\"31812608\"]\n  3 [size=\"71245824\", alpha=\"0.19\", expect_size=\"35622912\"] \n  3 -> 4 [size =\"35622912\"]\n  3 -> 5 [size =\"35622912\"]\n  4 [size=\"92389376\", alpha=\"0.04\", expect_size=\"46194688\"] \n  4 -> 6 [size =\"46194688\"]\n  4 -> 7 [size =\"46194688\"]\n  5 [size=\"48365568\", alpha=\"0.07\", expect_size=\"24182784\"] \n  5 -> 6 [size =\"24182784\"]\n  5 -> 7 [size =\"24182784\"]\n  6 [size=\"18049024\", alpha=\"0.12\", expect_size=\"9024512\"] \n  6 -> 8 [size =\"9024512\"]\n  7 [size=\"46288896\", alpha=\"0.01\", expect_size=\"23144448\"] \n  7 -> 8 [size =\"23144448\"]\n  8 [size=\"56995840\", alpha=\"0.02\", expect_size=\"28497920\"] \n  8 -> 9 [size =\"28497920\"]\n  8 -> 10 [size =\"28497920\"]\n  9 [size=\"73267200\", alpha=\"0.03\", expect_size=\"36633600\"] \n  10 [size=\"85186560\", alpha=\"0.10\", expect_size=\"42593280\"] \n  10 -> 11 [size =\"42593280\"]\n  11 [size=\"33021952\", alpha=\"0.12\", expect_size=\"16510976\"] \n  11 -> 12 [size =\"16510976\"]\n  11 -> 13 [size =\"16510976\"]\n  12 [size=\"78864384\", alpha=\"0.04\", expect_size=\"39432192\"] \n  12 -> 14 [size =\"39432192\"]\n  13 [size=\"15771648\", alpha=\"0.15\", expect_size=\"7885824\"] \n  13 -> 14 [size =\"7885824\"]\n  14 [size=\"104507392\", alpha=\"0.18\", expect_size=\"52253696\"] \n  14 -> 15 [size =\"52253696\"]\n  15 [size=\"29880320\", alpha=\"0.07\", expect_size=\"14940160\"] \n  15 -> 16 [size =\"14940160\"]\n  15 -> 17 [size =\"14940160\"]\n  16 [size=\"62550016\", alpha=\"0.18\", expect_size=\"31275008\"] \n  16 -> 18 [size =\"31275008\"]\n  17 [size=\"26968064\", alpha=\"0.02\", expect_size=\"13484032\"] \n  17 -> 18 [size =\"13484032\"]\n  18 [size=\"29612032\", alpha=\"0.19\", expect_size=\"14806016\"] \n  18 -> 19 [size =\"14806016\"]\n  19 [size=\"36945920\", alpha=\"0.12\", expect_size=\"18472960\"] \n  19 -> 20 [size =\"18472960\"]\n  20 [size=\"49770496\", alpha=\"0.10\", expect_size=\"24885248\"] \n  20 -> 21 [size =\"24885248\"]\n  20 -> 22 [size =\"24885248\"]\n  21 [size=\"99008512\", alpha=\"0.14\", expect_size=\"49504256\"] \n  21 -> 23 [size =\"49504256\"]\n  22 [size=\"63184896\", alpha=\"0.09\", expect_size=\"31592448\"] \n  22 -> 23 [size =\"31592448\"]\n  23 [size=\"83261440\", alpha=\"0.17\", expect_size=\"41630720\"] \n  23 -> 24 [size =\"41630720\"]\n  24 [size=\"58161152\", alpha=\"0.02\", expect_size=\"29080576\"] \n  24 -> 25 [size =\"29080576\"]\n  24 -> 26 [size =\"29080576\"]\n  25 [size=\"49764352\", alpha=\"0.15\", expect_size=\"24882176\"] \n  25 -> 27 [size =\"24882176\"]\n  26 [size=\"82292736\", alpha=\"0.10\", expect_size=\"41146368\"] \n  26 -> 27 [size =\"41146368\"]\n  27 [size=\"71370752\", alpha=\"0.12\", expect_size=\"35685376\"] \n  27 -> 28 [size =\"35685376\"]\n  28 [size=\"80633856\", alpha=\"0.04\", expect_size=\"40316928\"] \n  28 -> 29 [size =\"40316928\"]\n  28 -> 30 [size =\"40316928\"]\n  29 [size=\"78157824\", alpha=\"0.10\", expect_size=\"39078912\"] \n  29 -> 31 [size =\"39078912\"]\n  30 [size=\"42711040\", alpha=\"0.11\", expect_size=\"21355520\"] \n  30 -> 31 [size =\"21355520\"]\n  31 [size=\"92090368\", alpha=\"0.17\", expect_size=\"46045184\"] \n  31 -> 32 [size =\"46045184\"]\n  32 [size=\"64186368\", alpha=\"0.18\", expect_size=\"32093184\"] \n  32 -> 33 [size =\"32093184\"]\n  33 [size=\"12138496\", alpha=\"0.20\", expect_size=\"6069248\"] \n  33 -> 34 [size =\"6069248\"]\n  34 [size=\"91080704\", alpha=\"0.01\", expect_size=\"45540352\"] \n  34 -> 35 [size =\"45540352\"]\n  35 [size=\"99805184\", alpha=\"0.07\", expect_size=\"49902592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92211200\", alpha=\"0.14\", expect_size=\"46105600\"] \n  1 -> 3 [size =\"46105600\"]\n  1 -> 4 [size =\"46105600\"]\n  1 -> 5 [size =\"46105600\"]\n  2 [size=\"50862080\", alpha=\"0.08\", expect_size=\"25431040\"] \n  2 -> 6 [size =\"25431040\"]\n  3 [size=\"25143296\", alpha=\"0.10\", expect_size=\"12571648\"] \n  3 -> 7 [size =\"12571648\"]\n  3 -> 10 [size =\"12571648\"]\n  4 [size=\"75399168\", alpha=\"0.20\", expect_size=\"37699584\"] \n  4 -> 8 [size =\"37699584\"]\n  4 -> 9 [size =\"37699584\"]\n  4 -> 10 [size =\"37699584\"]\n  4 -> 11 [size =\"37699584\"]\n  5 [size=\"49836032\", alpha=\"0.01\", expect_size=\"24918016\"] \n  5 -> 8 [size =\"24918016\"]\n  5 -> 9 [size =\"24918016\"]\n  6 [size=\"103673856\", alpha=\"0.18\", expect_size=\"51836928\"] \n  6 -> 7 [size =\"51836928\"]\n  7 [size=\"76402688\", alpha=\"0.03\", expect_size=\"38201344\"] \n  7 -> 14 [size =\"38201344\"]\n  8 [size=\"28155904\", alpha=\"0.05\", expect_size=\"14077952\"] \n  8 -> 15 [size =\"14077952\"]\n  8 -> 16 [size =\"14077952\"]\n  8 -> 17 [size =\"14077952\"]\n  9 [size=\"66537472\", alpha=\"0.20\", expect_size=\"33268736\"] \n  9 -> 17 [size =\"33268736\"]\n  10 [size=\"28026880\", alpha=\"0.19\", expect_size=\"14013440\"] \n  10 -> 12 [size =\"14013440\"]\n  10 -> 16 [size =\"14013440\"]\n  11 [size=\"86865920\", alpha=\"0.06\", expect_size=\"43432960\"] \n  11 -> 13 [size =\"43432960\"]\n  11 -> 15 [size =\"43432960\"]\n  11 -> 16 [size =\"43432960\"]\n  12 [size=\"58339328\", alpha=\"0.07\", expect_size=\"29169664\"] \n  12 -> 21 [size =\"29169664\"]\n  13 [size=\"96366592\", alpha=\"0.04\", expect_size=\"48183296\"] \n  13 -> 18 [size =\"48183296\"]\n  13 -> 19 [size =\"48183296\"]\n  13 -> 21 [size =\"48183296\"]\n  13 -> 22 [size =\"48183296\"]\n  14 [size=\"47009792\", alpha=\"0.12\", expect_size=\"23504896\"] \n  14 -> 21 [size =\"23504896\"]\n  15 [size=\"46690304\", alpha=\"0.06\", expect_size=\"23345152\"] \n  15 -> 18 [size =\"23345152\"]\n  15 -> 19 [size =\"23345152\"]\n  15 -> 22 [size =\"23345152\"]\n  16 [size=\"49772544\", alpha=\"0.03\", expect_size=\"24886272\"] \n  16 -> 20 [size =\"24886272\"]\n  17 [size=\"40974336\", alpha=\"0.02\", expect_size=\"20487168\"] \n  17 -> 18 [size =\"20487168\"]\n  17 -> 19 [size =\"20487168\"]\n  17 -> 22 [size =\"20487168\"]\n  18 [size=\"57198592\", alpha=\"0.09\", expect_size=\"28599296\"] \n  18 -> 23 [size =\"28599296\"]\n  19 [size=\"79325184\", alpha=\"0.06\", expect_size=\"39662592\"] \n  19 -> 24 [size =\"39662592\"]\n  20 [size=\"77766656\", alpha=\"0.05\", expect_size=\"38883328\"] \n  21 [size=\"75347968\", alpha=\"0.01\", expect_size=\"37673984\"] \n  22 [size=\"101808128\", alpha=\"0.06\", expect_size=\"50904064\"] \n  22 -> 23 [size =\"50904064\"]\n  23 [size=\"41345024\", alpha=\"0.14\", expect_size=\"20672512\"] \n  23 -> 25 [size =\"20672512\"]\n  23 -> 28 [size =\"20672512\"]\n  23 -> 29 [size =\"20672512\"]\n  23 -> 30 [size =\"20672512\"]\n  23 -> 31 [size =\"20672512\"]\n  24 [size=\"58599424\", alpha=\"0.16\", expect_size=\"29299712\"] \n  24 -> 26 [size =\"29299712\"]\n  24 -> 27 [size =\"29299712\"]\n  25 [size=\"22536192\", alpha=\"0.06\", expect_size=\"11268096\"] \n  25 -> 34 [size =\"11268096\"]\n  26 [size=\"49244160\", alpha=\"0.16\", expect_size=\"24622080\"] \n  27 [size=\"61132800\", alpha=\"0.19\", expect_size=\"30566400\"] \n  28 [size=\"71778304\", alpha=\"0.07\", expect_size=\"35889152\"] \n  28 -> 33 [size =\"35889152\"]\n  29 [size=\"18313216\", alpha=\"0.06\", expect_size=\"9156608\"] \n  29 -> 32 [size =\"9156608\"]\n  29 -> 34 [size =\"9156608\"]\n  29 -> 35 [size =\"9156608\"]\n  30 [size=\"45416448\", alpha=\"0.09\", expect_size=\"22708224\"] \n  30 -> 32 [size =\"22708224\"]\n  31 [size=\"67768320\", alpha=\"0.09\", expect_size=\"33884160\"] \n  31 -> 34 [size =\"33884160\"]\n  32 [size=\"72726528\", alpha=\"0.18\", expect_size=\"36363264\"] \n  33 [size=\"100665344\", alpha=\"0.06\", expect_size=\"50332672\"] \n  34 [size=\"71872512\", alpha=\"0.01\", expect_size=\"35936256\"] \n  35 [size=\"51259392\", alpha=\"0.04\", expect_size=\"25629696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128161280\", alpha=\"0.05\", expect_size=\"51264512\"] \n  1 -> 5 [size =\"51264512\"]\n  1 -> 8 [size =\"51264512\"]\n  2 [size=\"58094080\", alpha=\"0.13\", expect_size=\"23237632\"] \n  2 -> 6 [size =\"23237632\"]\n  3 [size=\"100692480\", alpha=\"0.04\", expect_size=\"40276992\"] \n  4 [size=\"50974720\", alpha=\"0.11\", expect_size=\"20389888\"] \n  4 -> 7 [size =\"20389888\"]\n  5 [size=\"104286720\", alpha=\"0.05\", expect_size=\"41714688\"] \n  5 -> 9 [size =\"41714688\"]\n  5 -> 10 [size =\"41714688\"]\n  6 [size=\"48640000\", alpha=\"0.12\", expect_size=\"19456000\"] \n  6 -> 11 [size =\"19456000\"]\n  7 [size=\"116505600\", alpha=\"0.06\", expect_size=\"46602240\"] \n  8 [size=\"78097920\", alpha=\"0.11\", expect_size=\"31239168\"] \n  8 -> 9 [size =\"31239168\"]\n  8 -> 11 [size =\"31239168\"]\n  9 [size=\"94348800\", alpha=\"0.00\", expect_size=\"37739520\"] \n  9 -> 12 [size =\"37739520\"]\n  10 [size=\"98698240\", alpha=\"0.14\", expect_size=\"39479296\"] \n  10 -> 13 [size =\"39479296\"]\n  10 -> 14 [size =\"39479296\"]\n  11 [size=\"95892480\", alpha=\"0.09\", expect_size=\"38356992\"] \n  11 -> 13 [size =\"38356992\"]\n  11 -> 14 [size =\"38356992\"]\n  11 -> 15 [size =\"38356992\"]\n  12 [size=\"125478400\", alpha=\"0.09\", expect_size=\"50191360\"] \n  12 -> 19 [size =\"50191360\"]\n  13 [size=\"82731520\", alpha=\"0.16\", expect_size=\"33092608\"] \n  13 -> 18 [size =\"33092608\"]\n  14 [size=\"108147200\", alpha=\"0.12\", expect_size=\"43258880\"] \n  14 -> 16 [size =\"43258880\"]\n  14 -> 17 [size =\"43258880\"]\n  14 -> 18 [size =\"43258880\"]\n  14 -> 19 [size =\"43258880\"]\n  15 [size=\"56332800\", alpha=\"0.01\", expect_size=\"22533120\"] \n  16 [size=\"83322880\", alpha=\"0.08\", expect_size=\"33329152\"] \n  16 -> 21 [size =\"33329152\"]\n  17 [size=\"38164480\", alpha=\"0.15\", expect_size=\"15265792\"] \n  18 [size=\"75235840\", alpha=\"0.08\", expect_size=\"30094336\"] \n  18 -> 20 [size =\"30094336\"]\n  18 -> 22 [size =\"30094336\"]\n  19 [size=\"21839360\", alpha=\"0.09\", expect_size=\"8735744\"] \n  19 -> 20 [size =\"8735744\"]\n  20 [size=\"22743040\", alpha=\"0.04\", expect_size=\"9097216\"] \n  20 -> 25 [size =\"9097216\"]\n  20 -> 26 [size =\"9097216\"]\n  21 [size=\"107873280\", alpha=\"0.18\", expect_size=\"43149312\"] \n  21 -> 23 [size =\"43149312\"]\n  21 -> 24 [size =\"43149312\"]\n  22 [size=\"41684480\", alpha=\"0.20\", expect_size=\"16673792\"] \n  22 -> 23 [size =\"16673792\"]\n  22 -> 27 [size =\"16673792\"]\n  23 [size=\"94318080\", alpha=\"0.17\", expect_size=\"37727232\"] \n  23 -> 32 [size =\"37727232\"]\n  24 [size=\"69237760\", alpha=\"0.20\", expect_size=\"27695104\"] \n  25 [size=\"23101440\", alpha=\"0.19\", expect_size=\"9240576\"] \n  25 -> 28 [size =\"9240576\"]\n  25 -> 29 [size =\"9240576\"]\n  25 -> 31 [size =\"9240576\"]\n  26 [size=\"28840960\", alpha=\"0.03\", expect_size=\"11536384\"] \n  26 -> 28 [size =\"11536384\"]\n  26 -> 30 [size =\"11536384\"]\n  26 -> 31 [size =\"11536384\"]\n  27 [size=\"77885440\", alpha=\"0.06\", expect_size=\"31154176\"] \n  27 -> 28 [size =\"31154176\"]\n  27 -> 30 [size =\"31154176\"]\n  27 -> 31 [size =\"31154176\"]\n  27 -> 32 [size =\"31154176\"]\n  28 [size=\"51312640\", alpha=\"0.19\", expect_size=\"20525056\"] \n  29 [size=\"100049920\", alpha=\"0.06\", expect_size=\"40019968\"] \n  29 -> 33 [size =\"40019968\"]\n  29 -> 35 [size =\"40019968\"]\n  30 [size=\"34104320\", alpha=\"0.07\", expect_size=\"13641728\"] \n  30 -> 33 [size =\"13641728\"]\n  31 [size=\"55544320\", alpha=\"0.03\", expect_size=\"22217728\"] \n  31 -> 33 [size =\"22217728\"]\n  31 -> 34 [size =\"22217728\"]\n  32 [size=\"43499520\", alpha=\"0.18\", expect_size=\"17399808\"] \n  32 -> 34 [size =\"17399808\"]\n  33 [size=\"42954240\", alpha=\"0.04\", expect_size=\"17181696\"] \n  34 [size=\"23534080\", alpha=\"0.07\", expect_size=\"9413632\"] \n  35 [size=\"23106560\", alpha=\"0.16\", expect_size=\"9242624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104678400\", alpha=\"0.11\", expect_size=\"41871360\"] \n  1 -> 2 [size =\"41871360\"]\n  1 -> 3 [size =\"41871360\"]\n  2 [size=\"105955840\", alpha=\"0.19\", expect_size=\"42382336\"] \n  2 -> 4 [size =\"42382336\"]\n  2 -> 5 [size =\"42382336\"]\n  3 [size=\"49320960\", alpha=\"0.11\", expect_size=\"19728384\"] \n  4 [size=\"19630080\", alpha=\"0.07\", expect_size=\"7852032\"] \n  4 -> 6 [size =\"7852032\"]\n  5 [size=\"17835520\", alpha=\"0.13\", expect_size=\"7134208\"] \n  6 [size=\"28999680\", alpha=\"0.08\", expect_size=\"11599872\"] \n  6 -> 7 [size =\"11599872\"]\n  6 -> 8 [size =\"11599872\"]\n  7 [size=\"38837760\", alpha=\"0.11\", expect_size=\"15535104\"] \n  8 [size=\"113303040\", alpha=\"0.15\", expect_size=\"45321216\"] \n  8 -> 9 [size =\"45321216\"]\n  8 -> 10 [size =\"45321216\"]\n  9 [size=\"84538880\", alpha=\"0.08\", expect_size=\"33815552\"] \n  9 -> 11 [size =\"33815552\"]\n  10 [size=\"51476480\", alpha=\"0.05\", expect_size=\"20590592\"] \n  11 [size=\"108999680\", alpha=\"0.12\", expect_size=\"43599872\"] \n  11 -> 12 [size =\"43599872\"]\n  12 [size=\"56619520\", alpha=\"0.03\", expect_size=\"22647808\"] \n  12 -> 13 [size =\"22647808\"]\n  13 [size=\"52395520\", alpha=\"0.04\", expect_size=\"20958208\"] \n  13 -> 14 [size =\"20958208\"]\n  14 [size=\"114544640\", alpha=\"0.06\", expect_size=\"45817856\"] \n  14 -> 15 [size =\"45817856\"]\n  14 -> 16 [size =\"45817856\"]\n  15 [size=\"38945280\", alpha=\"0.16\", expect_size=\"15578112\"] \n  16 [size=\"117701120\", alpha=\"0.10\", expect_size=\"47080448\"] \n  16 -> 17 [size =\"47080448\"]\n  17 [size=\"47976960\", alpha=\"0.17\", expect_size=\"19190784\"] \n  17 -> 18 [size =\"19190784\"]\n  17 -> 19 [size =\"19190784\"]\n  18 [size=\"109982720\", alpha=\"0.08\", expect_size=\"43993088\"] \n  18 -> 20 [size =\"43993088\"]\n  19 [size=\"78947840\", alpha=\"0.03\", expect_size=\"31579136\"] \n  20 [size=\"124968960\", alpha=\"0.06\", expect_size=\"49987584\"] \n  20 -> 21 [size =\"49987584\"]\n  20 -> 22 [size =\"49987584\"]\n  21 [size=\"35904000\", alpha=\"0.05\", expect_size=\"14361600\"] \n  21 -> 23 [size =\"14361600\"]\n  22 [size=\"104547840\", alpha=\"0.19\", expect_size=\"41819136\"] \n  23 [size=\"120980480\", alpha=\"0.19\", expect_size=\"48392192\"] \n  23 -> 24 [size =\"48392192\"]\n  24 [size=\"26083840\", alpha=\"0.01\", expect_size=\"10433536\"] \n  24 -> 25 [size =\"10433536\"]\n  24 -> 26 [size =\"10433536\"]\n  25 [size=\"59665920\", alpha=\"0.03\", expect_size=\"23866368\"] \n  26 [size=\"37606400\", alpha=\"0.08\", expect_size=\"15042560\"] \n  26 -> 27 [size =\"15042560\"]\n  27 [size=\"95546880\", alpha=\"0.18\", expect_size=\"38218752\"] \n  27 -> 28 [size =\"38218752\"]\n  27 -> 29 [size =\"38218752\"]\n  28 [size=\"79009280\", alpha=\"0.04\", expect_size=\"31603712\"] \n  29 [size=\"126005760\", alpha=\"0.02\", expect_size=\"50402304\"] \n  29 -> 30 [size =\"50402304\"]\n  29 -> 31 [size =\"50402304\"]\n  30 [size=\"26283520\", alpha=\"0.07\", expect_size=\"10513408\"] \n  30 -> 32 [size =\"10513408\"]\n  31 [size=\"62272000\", alpha=\"0.09\", expect_size=\"24908800\"] \n  32 [size=\"89615360\", alpha=\"0.17\", expect_size=\"35846144\"] \n  32 -> 33 [size =\"35846144\"]\n  32 -> 34 [size =\"35846144\"]\n  33 [size=\"83202560\", alpha=\"0.13\", expect_size=\"33281024\"] \n  34 [size=\"79242240\", alpha=\"0.05\", expect_size=\"31696896\"] \n  34 -> 35 [size =\"31696896\"]\n  35 [size=\"84259840\", alpha=\"0.02\", expect_size=\"33703936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46520320\", alpha=\"0.06\", expect_size=\"13956096\"] \n  1 -> 2 [size =\"13956096\"]\n  2 [size=\"30781440\", alpha=\"0.02\", expect_size=\"9234432\"] \n  2 -> 3 [size =\"9234432\"]\n  3 [size=\"71980373\", alpha=\"0.12\", expect_size=\"21594112\"] \n  3 -> 4 [size =\"21594112\"]\n  4 [size=\"28303360\", alpha=\"0.04\", expect_size=\"8491008\"] \n  4 -> 5 [size =\"8491008\"]\n  5 [size=\"119043413\", alpha=\"0.16\", expect_size=\"35713024\"] \n  5 -> 6 [size =\"35713024\"]\n  6 [size=\"37212160\", alpha=\"0.06\", expect_size=\"11163648\"] \n  6 -> 7 [size =\"11163648\"]\n  7 [size=\"78697813\", alpha=\"0.11\", expect_size=\"23609344\"] \n  7 -> 8 [size =\"23609344\"]\n  8 [size=\"125771093\", alpha=\"0.04\", expect_size=\"37731328\"] \n  8 -> 9 [size =\"37731328\"]\n  9 [size=\"85913600\", alpha=\"0.05\", expect_size=\"25774080\"] \n  9 -> 10 [size =\"25774080\"]\n  10 [size=\"158661973\", alpha=\"0.13\", expect_size=\"47598592\"] \n  10 -> 11 [size =\"47598592\"]\n  11 [size=\"101393067\", alpha=\"0.19\", expect_size=\"30417920\"] \n  11 -> 12 [size =\"30417920\"]\n  12 [size=\"148138667\", alpha=\"0.20\", expect_size=\"44441600\"] \n  12 -> 13 [size =\"44441600\"]\n  13 [size=\"166451200\", alpha=\"0.08\", expect_size=\"49935360\"] \n  13 -> 14 [size =\"49935360\"]\n  14 [size=\"104997547\", alpha=\"0.09\", expect_size=\"31499264\"] \n  14 -> 15 [size =\"31499264\"]\n  15 [size=\"136140800\", alpha=\"0.15\", expect_size=\"40842240\"] \n  15 -> 16 [size =\"40842240\"]\n  16 [size=\"104905387\", alpha=\"0.19\", expect_size=\"31471616\"] \n  16 -> 17 [size =\"31471616\"]\n  17 [size=\"152572587\", alpha=\"0.08\", expect_size=\"45771776\"] \n  17 -> 18 [size =\"45771776\"]\n  18 [size=\"79766187\", alpha=\"0.05\", expect_size=\"23929856\"] \n  18 -> 19 [size =\"23929856\"]\n  19 [size=\"113322667\", alpha=\"0.05\", expect_size=\"33996800\"] \n  19 -> 20 [size =\"33996800\"]\n  20 [size=\"152637440\", alpha=\"0.05\", expect_size=\"45791232\"] \n  20 -> 21 [size =\"45791232\"]\n  21 [size=\"95938560\", alpha=\"0.08\", expect_size=\"28781568\"] \n  21 -> 22 [size =\"28781568\"]\n  22 [size=\"88832000\", alpha=\"0.13\", expect_size=\"26649600\"] \n  22 -> 23 [size =\"26649600\"]\n  23 [size=\"84913493\", alpha=\"0.04\", expect_size=\"25474048\"] \n  23 -> 24 [size =\"25474048\"]\n  24 [size=\"148131840\", alpha=\"0.18\", expect_size=\"44439552\"] \n  24 -> 25 [size =\"44439552\"]\n  25 [size=\"60477440\", alpha=\"0.04\", expect_size=\"18143232\"] \n  25 -> 26 [size =\"18143232\"]\n  26 [size=\"23971840\", alpha=\"0.12\", expect_size=\"7191552\"] \n  26 -> 27 [size =\"7191552\"]\n  27 [size=\"174574933\", alpha=\"0.09\", expect_size=\"52372480\"] \n  27 -> 28 [size =\"52372480\"]\n  28 [size=\"76636160\", alpha=\"0.19\", expect_size=\"22990848\"] \n  28 -> 29 [size =\"22990848\"]\n  29 [size=\"119668053\", alpha=\"0.18\", expect_size=\"35900416\"] \n  29 -> 30 [size =\"35900416\"]\n  30 [size=\"161085440\", alpha=\"0.14\", expect_size=\"48325632\"] \n  30 -> 31 [size =\"48325632\"]\n  31 [size=\"40963413\", alpha=\"0.02\", expect_size=\"12289024\"] \n  31 -> 32 [size =\"12289024\"]\n  32 [size=\"102915413\", alpha=\"0.06\", expect_size=\"30874624\"] \n  32 -> 33 [size =\"30874624\"]\n  33 [size=\"45677227\", alpha=\"0.09\", expect_size=\"13703168\"] \n  33 -> 34 [size =\"13703168\"]\n  34 [size=\"81042773\", alpha=\"0.03\", expect_size=\"24312832\"] \n  34 -> 35 [size =\"24312832\"]\n  35 [size=\"62559573\", alpha=\"0.12\", expect_size=\"18767872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56985600\", alpha=\"0.05\", expect_size=\"28492800\"] \n  1 -> 6 [size =\"28492800\"]\n  2 [size=\"38836224\", alpha=\"0.12\", expect_size=\"19418112\"] \n  2 -> 5 [size =\"19418112\"]\n  2 -> 7 [size =\"19418112\"]\n  2 -> 8 [size =\"19418112\"]\n  3 [size=\"58966016\", alpha=\"0.06\", expect_size=\"29483008\"] \n  3 -> 5 [size =\"29483008\"]\n  3 -> 7 [size =\"29483008\"]\n  4 [size=\"104538112\", alpha=\"0.00\", expect_size=\"52269056\"] \n  4 -> 5 [size =\"52269056\"]\n  5 [size=\"68802560\", alpha=\"0.10\", expect_size=\"34401280\"] \n  5 -> 9 [size =\"34401280\"]\n  5 -> 10 [size =\"34401280\"]\n  5 -> 12 [size =\"34401280\"]\n  6 [size=\"76765184\", alpha=\"0.08\", expect_size=\"38382592\"] \n  6 -> 12 [size =\"38382592\"]\n  7 [size=\"64997376\", alpha=\"0.05\", expect_size=\"32498688\"] \n  7 -> 9 [size =\"32498688\"]\n  7 -> 11 [size =\"32498688\"]\n  8 [size=\"84142080\", alpha=\"0.09\", expect_size=\"42071040\"] \n  8 -> 9 [size =\"42071040\"]\n  8 -> 12 [size =\"42071040\"]\n  9 [size=\"33161216\", alpha=\"0.10\", expect_size=\"16580608\"] \n  9 -> 15 [size =\"16580608\"]\n  10 [size=\"20807680\", alpha=\"0.00\", expect_size=\"10403840\"] \n  10 -> 14 [size =\"10403840\"]\n  10 -> 15 [size =\"10403840\"]\n  10 -> 16 [size =\"10403840\"]\n  11 [size=\"50802688\", alpha=\"0.16\", expect_size=\"25401344\"] \n  11 -> 16 [size =\"25401344\"]\n  12 [size=\"72747008\", alpha=\"0.12\", expect_size=\"36373504\"] \n  12 -> 13 [size =\"36373504\"]\n  13 [size=\"34959360\", alpha=\"0.11\", expect_size=\"17479680\"] \n  13 -> 17 [size =\"17479680\"]\n  13 -> 19 [size =\"17479680\"]\n  13 -> 20 [size =\"17479680\"]\n  14 [size=\"64753664\", alpha=\"0.17\", expect_size=\"32376832\"] \n  14 -> 18 [size =\"32376832\"]\n  15 [size=\"65923072\", alpha=\"0.01\", expect_size=\"32961536\"] \n  15 -> 19 [size =\"32961536\"]\n  15 -> 20 [size =\"32961536\"]\n  16 [size=\"16498688\", alpha=\"0.06\", expect_size=\"8249344\"] \n  16 -> 17 [size =\"8249344\"]\n  16 -> 20 [size =\"8249344\"]\n  17 [size=\"54292480\", alpha=\"0.15\", expect_size=\"27146240\"] \n  17 -> 22 [size =\"27146240\"]\n  17 -> 24 [size =\"27146240\"]\n  17 -> 25 [size =\"27146240\"]\n  18 [size=\"75681792\", alpha=\"0.13\", expect_size=\"37840896\"] \n  18 -> 22 [size =\"37840896\"]\n  18 -> 24 [size =\"37840896\"]\n  18 -> 25 [size =\"37840896\"]\n  19 [size=\"23185408\", alpha=\"0.17\", expect_size=\"11592704\"] \n  19 -> 22 [size =\"11592704\"]\n  19 -> 24 [size =\"11592704\"]\n  20 [size=\"71770112\", alpha=\"0.18\", expect_size=\"35885056\"] \n  20 -> 21 [size =\"35885056\"]\n  20 -> 23 [size =\"35885056\"]\n  21 [size=\"72415232\", alpha=\"0.10\", expect_size=\"36207616\"] \n  21 -> 28 [size =\"36207616\"]\n  22 [size=\"52629504\", alpha=\"0.07\", expect_size=\"26314752\"] \n  22 -> 26 [size =\"26314752\"]\n  22 -> 27 [size =\"26314752\"]\n  22 -> 29 [size =\"26314752\"]\n  22 -> 30 [size =\"26314752\"]\n  23 [size=\"16728064\", alpha=\"0.15\", expect_size=\"8364032\"] \n  23 -> 27 [size =\"8364032\"]\n  23 -> 30 [size =\"8364032\"]\n  24 [size=\"69957632\", alpha=\"0.03\", expect_size=\"34978816\"] \n  24 -> 26 [size =\"34978816\"]\n  24 -> 30 [size =\"34978816\"]\n  25 [size=\"57970688\", alpha=\"0.03\", expect_size=\"28985344\"] \n  25 -> 28 [size =\"28985344\"]\n  26 [size=\"62629888\", alpha=\"0.17\", expect_size=\"31314944\"] \n  26 -> 31 [size =\"31314944\"]\n  26 -> 33 [size =\"31314944\"]\n  27 [size=\"92454912\", alpha=\"0.02\", expect_size=\"46227456\"] \n  27 -> 31 [size =\"46227456\"]\n  27 -> 32 [size =\"46227456\"]\n  28 [size=\"69670912\", alpha=\"0.04\", expect_size=\"34835456\"] \n  29 [size=\"35350528\", alpha=\"0.10\", expect_size=\"17675264\"] \n  29 -> 31 [size =\"17675264\"]\n  29 -> 32 [size =\"17675264\"]\n  29 -> 33 [size =\"17675264\"]\n  30 [size=\"19367936\", alpha=\"0.18\", expect_size=\"9683968\"] \n  30 -> 31 [size =\"9683968\"]\n  30 -> 32 [size =\"9683968\"]\n  30 -> 33 [size =\"9683968\"]\n  30 -> 34 [size =\"9683968\"]\n  31 [size=\"11051008\", alpha=\"0.15\", expect_size=\"5525504\"] \n  32 [size=\"56901632\", alpha=\"0.05\", expect_size=\"28450816\"] \n  32 -> 35 [size =\"28450816\"]\n  33 [size=\"90900480\", alpha=\"0.00\", expect_size=\"45450240\"] \n  34 [size=\"67153920\", alpha=\"0.07\", expect_size=\"33576960\"] \n  35 [size=\"79716352\", alpha=\"0.05\", expect_size=\"39858176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146681173\", alpha=\"0.16\", expect_size=\"44004352\"] \n  1 -> 2 [size =\"44004352\"]\n  2 [size=\"159102293\", alpha=\"0.19\", expect_size=\"47730688\"] \n  2 -> 3 [size =\"47730688\"]\n  3 [size=\"127419733\", alpha=\"0.01\", expect_size=\"38225920\"] \n  3 -> 4 [size =\"38225920\"]\n  4 [size=\"116084053\", alpha=\"0.20\", expect_size=\"34825216\"] \n  4 -> 5 [size =\"34825216\"]\n  5 [size=\"84875947\", alpha=\"0.17\", expect_size=\"25462784\"] \n  5 -> 6 [size =\"25462784\"]\n  6 [size=\"25903787\", alpha=\"0.12\", expect_size=\"7771136\"] \n  6 -> 7 [size =\"7771136\"]\n  7 [size=\"115964587\", alpha=\"0.05\", expect_size=\"34789376\"] \n  7 -> 8 [size =\"34789376\"]\n  8 [size=\"149551787\", alpha=\"0.14\", expect_size=\"44865536\"] \n  8 -> 9 [size =\"44865536\"]\n  9 [size=\"167331840\", alpha=\"0.04\", expect_size=\"50199552\"] \n  9 -> 10 [size =\"50199552\"]\n  10 [size=\"129819307\", alpha=\"0.05\", expect_size=\"38945792\"] \n  10 -> 11 [size =\"38945792\"]\n  11 [size=\"163488427\", alpha=\"0.12\", expect_size=\"49046528\"] \n  11 -> 12 [size =\"49046528\"]\n  12 [size=\"134850560\", alpha=\"0.08\", expect_size=\"40455168\"] \n  12 -> 13 [size =\"40455168\"]\n  13 [size=\"130744320\", alpha=\"0.04\", expect_size=\"39223296\"] \n  13 -> 14 [size =\"39223296\"]\n  14 [size=\"141704533\", alpha=\"0.03\", expect_size=\"42511360\"] \n  14 -> 15 [size =\"42511360\"]\n  15 [size=\"140769280\", alpha=\"0.18\", expect_size=\"42230784\"] \n  15 -> 16 [size =\"42230784\"]\n  16 [size=\"119859200\", alpha=\"0.06\", expect_size=\"35957760\"] \n  16 -> 17 [size =\"35957760\"]\n  17 [size=\"54063787\", alpha=\"0.08\", expect_size=\"16219136\"] \n  17 -> 18 [size =\"16219136\"]\n  18 [size=\"90156373\", alpha=\"0.07\", expect_size=\"27046912\"] \n  18 -> 19 [size =\"27046912\"]\n  19 [size=\"40147627\", alpha=\"0.12\", expect_size=\"12044288\"] \n  19 -> 20 [size =\"12044288\"]\n  20 [size=\"67822933\", alpha=\"0.05\", expect_size=\"20346880\"] \n  20 -> 21 [size =\"20346880\"]\n  21 [size=\"104284160\", alpha=\"0.15\", expect_size=\"31285248\"] \n  21 -> 22 [size =\"31285248\"]\n  22 [size=\"40581120\", alpha=\"0.03\", expect_size=\"12174336\"] \n  22 -> 23 [size =\"12174336\"]\n  23 [size=\"100816213\", alpha=\"0.04\", expect_size=\"30244864\"] \n  23 -> 24 [size =\"30244864\"]\n  24 [size=\"135850667\", alpha=\"0.18\", expect_size=\"40755200\"] \n  24 -> 25 [size =\"40755200\"]\n  25 [size=\"157900800\", alpha=\"0.01\", expect_size=\"47370240\"] \n  25 -> 26 [size =\"47370240\"]\n  26 [size=\"141544107\", alpha=\"0.05\", expect_size=\"42463232\"] \n  26 -> 27 [size =\"42463232\"]\n  27 [size=\"31774720\", alpha=\"0.01\", expect_size=\"9532416\"] \n  27 -> 28 [size =\"9532416\"]\n  28 [size=\"97665707\", alpha=\"0.14\", expect_size=\"29299712\"] \n  28 -> 29 [size =\"29299712\"]\n  29 [size=\"152176640\", alpha=\"0.06\", expect_size=\"45652992\"] \n  29 -> 30 [size =\"45652992\"]\n  30 [size=\"92064427\", alpha=\"0.12\", expect_size=\"27619328\"] \n  30 -> 31 [size =\"27619328\"]\n  31 [size=\"135133867\", alpha=\"0.17\", expect_size=\"40540160\"] \n  31 -> 32 [size =\"40540160\"]\n  32 [size=\"96020480\", alpha=\"0.17\", expect_size=\"28806144\"] \n  32 -> 33 [size =\"28806144\"]\n  33 [size=\"116350293\", alpha=\"0.11\", expect_size=\"34905088\"] \n  33 -> 34 [size =\"34905088\"]\n  34 [size=\"148783787\", alpha=\"0.01\", expect_size=\"44635136\"] \n  34 -> 35 [size =\"44635136\"]\n  35 [size=\"134645760\", alpha=\"0.07\", expect_size=\"40393728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76308480\", alpha=\"0.06\", expect_size=\"30523392\"] \n  1 -> 5 [size =\"30523392\"]\n  1 -> 6 [size =\"30523392\"]\n  1 -> 7 [size =\"30523392\"]\n  1 -> 9 [size =\"30523392\"]\n  2 [size=\"116387840\", alpha=\"0.01\", expect_size=\"46555136\"] \n  2 -> 6 [size =\"46555136\"]\n  2 -> 7 [size =\"46555136\"]\n  2 -> 8 [size =\"46555136\"]\n  2 -> 9 [size =\"46555136\"]\n  3 [size=\"20277760\", alpha=\"0.13\", expect_size=\"8111104\"] \n  3 -> 5 [size =\"8111104\"]\n  3 -> 6 [size =\"8111104\"]\n  3 -> 7 [size =\"8111104\"]\n  3 -> 9 [size =\"8111104\"]\n  4 [size=\"56378880\", alpha=\"0.09\", expect_size=\"22551552\"] \n  4 -> 5 [size =\"22551552\"]\n  4 -> 6 [size =\"22551552\"]\n  4 -> 7 [size =\"22551552\"]\n  4 -> 8 [size =\"22551552\"]\n  4 -> 9 [size =\"22551552\"]\n  4 -> 10 [size =\"22551552\"]\n  5 [size=\"47907840\", alpha=\"0.20\", expect_size=\"19163136\"] \n  5 -> 11 [size =\"19163136\"]\n  5 -> 13 [size =\"19163136\"]\n  5 -> 14 [size =\"19163136\"]\n  5 -> 15 [size =\"19163136\"]\n  6 [size=\"66536960\", alpha=\"0.13\", expect_size=\"26614784\"] \n  6 -> 11 [size =\"26614784\"]\n  6 -> 13 [size =\"26614784\"]\n  6 -> 14 [size =\"26614784\"]\n  7 [size=\"40299520\", alpha=\"0.16\", expect_size=\"16119808\"] \n  7 -> 12 [size =\"16119808\"]\n  7 -> 13 [size =\"16119808\"]\n  7 -> 14 [size =\"16119808\"]\n  7 -> 15 [size =\"16119808\"]\n  8 [size=\"68733440\", alpha=\"0.03\", expect_size=\"27493376\"] \n  8 -> 11 [size =\"27493376\"]\n  8 -> 13 [size =\"27493376\"]\n  8 -> 14 [size =\"27493376\"]\n  8 -> 15 [size =\"27493376\"]\n  9 [size=\"53117440\", alpha=\"0.05\", expect_size=\"21246976\"] \n  9 -> 11 [size =\"21246976\"]\n  9 -> 12 [size =\"21246976\"]\n  9 -> 13 [size =\"21246976\"]\n  9 -> 15 [size =\"21246976\"]\n  10 [size=\"89108480\", alpha=\"0.02\", expect_size=\"35643392\"] \n  10 -> 11 [size =\"35643392\"]\n  10 -> 13 [size =\"35643392\"]\n  10 -> 15 [size =\"35643392\"]\n  11 [size=\"50127360\", alpha=\"0.18\", expect_size=\"20050944\"] \n  11 -> 16 [size =\"20050944\"]\n  12 [size=\"87664640\", alpha=\"0.06\", expect_size=\"35065856\"] \n  12 -> 16 [size =\"35065856\"]\n  12 -> 18 [size =\"35065856\"]\n  13 [size=\"91494400\", alpha=\"0.03\", expect_size=\"36597760\"] \n  13 -> 16 [size =\"36597760\"]\n  14 [size=\"52108800\", alpha=\"0.18\", expect_size=\"20843520\"] \n  14 -> 16 [size =\"20843520\"]\n  14 -> 17 [size =\"20843520\"]\n  15 [size=\"105246720\", alpha=\"0.05\", expect_size=\"42098688\"] \n  15 -> 16 [size =\"42098688\"]\n  15 -> 17 [size =\"42098688\"]\n  15 -> 18 [size =\"42098688\"]\n  16 [size=\"102935040\", alpha=\"0.17\", expect_size=\"41174016\"] \n  16 -> 19 [size =\"41174016\"]\n  16 -> 20 [size =\"41174016\"]\n  16 -> 21 [size =\"41174016\"]\n  16 -> 22 [size =\"41174016\"]\n  17 [size=\"64588800\", alpha=\"0.04\", expect_size=\"25835520\"] \n  17 -> 21 [size =\"25835520\"]\n  18 [size=\"41177600\", alpha=\"0.09\", expect_size=\"16471040\"] \n  18 -> 20 [size =\"16471040\"]\n  18 -> 21 [size =\"16471040\"]\n  18 -> 22 [size =\"16471040\"]\n  19 [size=\"60933120\", alpha=\"0.06\", expect_size=\"24373248\"] \n  19 -> 23 [size =\"24373248\"]\n  19 -> 25 [size =\"24373248\"]\n  19 -> 26 [size =\"24373248\"]\n  20 [size=\"91727360\", alpha=\"0.09\", expect_size=\"36690944\"] \n  20 -> 25 [size =\"36690944\"]\n  20 -> 26 [size =\"36690944\"]\n  21 [size=\"102092800\", alpha=\"0.03\", expect_size=\"40837120\"] \n  21 -> 23 [size =\"40837120\"]\n  21 -> 26 [size =\"40837120\"]\n  22 [size=\"91973120\", alpha=\"0.14\", expect_size=\"36789248\"] \n  22 -> 23 [size =\"36789248\"]\n  22 -> 24 [size =\"36789248\"]\n  22 -> 25 [size =\"36789248\"]\n  23 [size=\"128988160\", alpha=\"0.06\", expect_size=\"51595264\"] \n  23 -> 27 [size =\"51595264\"]\n  23 -> 29 [size =\"51595264\"]\n  23 -> 30 [size =\"51595264\"]\n  23 -> 31 [size =\"51595264\"]\n  24 [size=\"29744640\", alpha=\"0.06\", expect_size=\"11897856\"] \n  24 -> 28 [size =\"11897856\"]\n  24 -> 29 [size =\"11897856\"]\n  24 -> 30 [size =\"11897856\"]\n  24 -> 31 [size =\"11897856\"]\n  25 [size=\"20262400\", alpha=\"0.12\", expect_size=\"8104960\"] \n  25 -> 28 [size =\"8104960\"]\n  25 -> 29 [size =\"8104960\"]\n  25 -> 30 [size =\"8104960\"]\n  25 -> 31 [size =\"8104960\"]\n  26 [size=\"49090560\", alpha=\"0.06\", expect_size=\"19636224\"] \n  26 -> 27 [size =\"19636224\"]\n  26 -> 29 [size =\"19636224\"]\n  26 -> 30 [size =\"19636224\"]\n  26 -> 31 [size =\"19636224\"]\n  27 [size=\"31767040\", alpha=\"0.05\", expect_size=\"12706816\"] \n  27 -> 32 [size =\"12706816\"]\n  27 -> 33 [size =\"12706816\"]\n  27 -> 35 [size =\"12706816\"]\n  28 [size=\"55211520\", alpha=\"0.14\", expect_size=\"22084608\"] \n  28 -> 32 [size =\"22084608\"]\n  28 -> 34 [size =\"22084608\"]\n  28 -> 35 [size =\"22084608\"]\n  29 [size=\"105546240\", alpha=\"0.10\", expect_size=\"42218496\"] \n  29 -> 32 [size =\"42218496\"]\n  29 -> 34 [size =\"42218496\"]\n  29 -> 35 [size =\"42218496\"]\n  30 [size=\"25566720\", alpha=\"0.18\", expect_size=\"10226688\"] \n  30 -> 32 [size =\"10226688\"]\n  30 -> 33 [size =\"10226688\"]\n  30 -> 34 [size =\"10226688\"]\n  30 -> 35 [size =\"10226688\"]\n  31 [size=\"80555520\", alpha=\"0.12\", expect_size=\"32222208\"] \n  31 -> 32 [size =\"32222208\"]\n  31 -> 33 [size =\"32222208\"]\n  31 -> 34 [size =\"32222208\"]\n  31 -> 35 [size =\"32222208\"]\n  32 [size=\"97792000\", alpha=\"0.20\", expect_size=\"39116800\"] \n  33 [size=\"62592000\", alpha=\"0.00\", expect_size=\"25036800\"] \n  34 [size=\"100090880\", alpha=\"0.07\", expect_size=\"40036352\"] \n  35 [size=\"17633280\", alpha=\"0.10\", expect_size=\"7053312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127511040\", alpha=\"0.17\", expect_size=\"51004416\"] \n  1 -> 2 [size =\"51004416\"]\n  2 [size=\"99253760\", alpha=\"0.07\", expect_size=\"39701504\"] \n  2 -> 3 [size =\"39701504\"]\n  3 [size=\"21178880\", alpha=\"0.01\", expect_size=\"8471552\"] \n  3 -> 4 [size =\"8471552\"]\n  4 [size=\"96337920\", alpha=\"0.06\", expect_size=\"38535168\"] \n  4 -> 5 [size =\"38535168\"]\n  5 [size=\"99955200\", alpha=\"0.19\", expect_size=\"39982080\"] \n  5 -> 6 [size =\"39982080\"]\n  6 [size=\"73487360\", alpha=\"0.18\", expect_size=\"29394944\"] \n  6 -> 7 [size =\"29394944\"]\n  7 [size=\"60244480\", alpha=\"0.19\", expect_size=\"24097792\"] \n  7 -> 8 [size =\"24097792\"]\n  8 [size=\"17236480\", alpha=\"0.14\", expect_size=\"6894592\"] \n  8 -> 9 [size =\"6894592\"]\n  9 [size=\"74877440\", alpha=\"0.13\", expect_size=\"29950976\"] \n  9 -> 10 [size =\"29950976\"]\n  10 [size=\"83304960\", alpha=\"0.08\", expect_size=\"33321984\"] \n  10 -> 11 [size =\"33321984\"]\n  11 [size=\"119316480\", alpha=\"0.06\", expect_size=\"47726592\"] \n  11 -> 12 [size =\"47726592\"]\n  12 [size=\"102110720\", alpha=\"0.08\", expect_size=\"40844288\"] \n  12 -> 13 [size =\"40844288\"]\n  13 [size=\"25413120\", alpha=\"0.03\", expect_size=\"10165248\"] \n  13 -> 14 [size =\"10165248\"]\n  14 [size=\"31539200\", alpha=\"0.19\", expect_size=\"12615680\"] \n  14 -> 15 [size =\"12615680\"]\n  15 [size=\"68820480\", alpha=\"0.14\", expect_size=\"27528192\"] \n  15 -> 16 [size =\"27528192\"]\n  16 [size=\"64486400\", alpha=\"0.07\", expect_size=\"25794560\"] \n  16 -> 17 [size =\"25794560\"]\n  17 [size=\"52270080\", alpha=\"0.04\", expect_size=\"20908032\"] \n  17 -> 18 [size =\"20908032\"]\n  18 [size=\"48066560\", alpha=\"0.14\", expect_size=\"19226624\"] \n  18 -> 19 [size =\"19226624\"]\n  19 [size=\"130746880\", alpha=\"0.06\", expect_size=\"52298752\"] \n  19 -> 20 [size =\"52298752\"]\n  20 [size=\"90746880\", alpha=\"0.14\", expect_size=\"36298752\"] \n  20 -> 21 [size =\"36298752\"]\n  21 [size=\"19210240\", alpha=\"0.01\", expect_size=\"7684096\"] \n  21 -> 22 [size =\"7684096\"]\n  22 [size=\"56583680\", alpha=\"0.03\", expect_size=\"22633472\"] \n  22 -> 23 [size =\"22633472\"]\n  23 [size=\"102236160\", alpha=\"0.06\", expect_size=\"40894464\"] \n  23 -> 24 [size =\"40894464\"]\n  24 [size=\"120737280\", alpha=\"0.04\", expect_size=\"48294912\"] \n  24 -> 25 [size =\"48294912\"]\n  25 [size=\"117332480\", alpha=\"0.16\", expect_size=\"46932992\"] \n  25 -> 26 [size =\"46932992\"]\n  26 [size=\"79761920\", alpha=\"0.18\", expect_size=\"31904768\"] \n  26 -> 27 [size =\"31904768\"]\n  27 [size=\"119001600\", alpha=\"0.08\", expect_size=\"47600640\"] \n  27 -> 28 [size =\"47600640\"]\n  28 [size=\"22305280\", alpha=\"0.20\", expect_size=\"8922112\"] \n  28 -> 29 [size =\"8922112\"]\n  29 [size=\"102494720\", alpha=\"0.01\", expect_size=\"40997888\"] \n  29 -> 30 [size =\"40997888\"]\n  30 [size=\"17656320\", alpha=\"0.15\", expect_size=\"7062528\"] \n  30 -> 31 [size =\"7062528\"]\n  31 [size=\"97610240\", alpha=\"0.06\", expect_size=\"39044096\"] \n  31 -> 32 [size =\"39044096\"]\n  32 [size=\"102865920\", alpha=\"0.13\", expect_size=\"41146368\"] \n  32 -> 33 [size =\"41146368\"]\n  33 [size=\"119575040\", alpha=\"0.01\", expect_size=\"47830016\"] \n  33 -> 34 [size =\"47830016\"]\n  34 [size=\"37839360\", alpha=\"0.13\", expect_size=\"15135744\"] \n  34 -> 35 [size =\"15135744\"]\n  35 [size=\"58859520\", alpha=\"0.14\", expect_size=\"23543808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137127253\", alpha=\"0.17\", expect_size=\"41138176\"] \n  1 -> 2 [size =\"41138176\"]\n  2 [size=\"38884693\", alpha=\"0.07\", expect_size=\"11665408\"] \n  2 -> 3 [size =\"11665408\"]\n  3 [size=\"159429973\", alpha=\"0.19\", expect_size=\"47828992\"] \n  3 -> 4 [size =\"47828992\"]\n  4 [size=\"18251093\", alpha=\"0.07\", expect_size=\"5475328\"] \n  4 -> 5 [size =\"5475328\"]\n  5 [size=\"50510507\", alpha=\"0.01\", expect_size=\"15153152\"] \n  5 -> 6 [size =\"15153152\"]\n  6 [size=\"55592960\", alpha=\"0.04\", expect_size=\"16677888\"] \n  6 -> 7 [size =\"16677888\"]\n  7 [size=\"89501013\", alpha=\"0.04\", expect_size=\"26850304\"] \n  7 -> 8 [size =\"26850304\"]\n  8 [size=\"122859520\", alpha=\"0.04\", expect_size=\"36857856\"] \n  8 -> 9 [size =\"36857856\"]\n  9 [size=\"151026347\", alpha=\"0.15\", expect_size=\"45307904\"] \n  9 -> 10 [size =\"45307904\"]\n  10 [size=\"43359573\", alpha=\"0.16\", expect_size=\"13007872\"] \n  10 -> 11 [size =\"13007872\"]\n  11 [size=\"18568533\", alpha=\"0.18\", expect_size=\"5570560\"] \n  11 -> 12 [size =\"5570560\"]\n  12 [size=\"153422507\", alpha=\"0.10\", expect_size=\"46026752\"] \n  12 -> 13 [size =\"46026752\"]\n  13 [size=\"54050133\", alpha=\"0.01\", expect_size=\"16215040\"] \n  13 -> 14 [size =\"16215040\"]\n  14 [size=\"43093333\", alpha=\"0.19\", expect_size=\"12928000\"] \n  14 -> 15 [size =\"12928000\"]\n  15 [size=\"100055040\", alpha=\"0.15\", expect_size=\"30016512\"] \n  15 -> 16 [size =\"30016512\"]\n  16 [size=\"109605547\", alpha=\"0.18\", expect_size=\"32881664\"] \n  16 -> 17 [size =\"32881664\"]\n  17 [size=\"144005120\", alpha=\"0.17\", expect_size=\"43201536\"] \n  17 -> 18 [size =\"43201536\"]\n  18 [size=\"19524267\", alpha=\"0.13\", expect_size=\"5857280\"] \n  18 -> 19 [size =\"5857280\"]\n  19 [size=\"48087040\", alpha=\"0.12\", expect_size=\"14426112\"] \n  19 -> 20 [size =\"14426112\"]\n  20 [size=\"166577493\", alpha=\"0.11\", expect_size=\"49973248\"] \n  20 -> 21 [size =\"49973248\"]\n  21 [size=\"135505920\", alpha=\"0.05\", expect_size=\"40651776\"] \n  21 -> 22 [size =\"40651776\"]\n  22 [size=\"119500800\", alpha=\"0.02\", expect_size=\"35850240\"] \n  22 -> 23 [size =\"35850240\"]\n  23 [size=\"43339093\", alpha=\"0.17\", expect_size=\"13001728\"] \n  23 -> 24 [size =\"13001728\"]\n  24 [size=\"53070507\", alpha=\"0.12\", expect_size=\"15921152\"] \n  24 -> 25 [size =\"15921152\"]\n  25 [size=\"44366507\", alpha=\"0.11\", expect_size=\"13309952\"] \n  25 -> 26 [size =\"13309952\"]\n  26 [size=\"164532907\", alpha=\"0.15\", expect_size=\"49359872\"] \n  26 -> 27 [size =\"49359872\"]\n  27 [size=\"147735893\", alpha=\"0.08\", expect_size=\"44320768\"] \n  27 -> 28 [size =\"44320768\"]\n  28 [size=\"120934400\", alpha=\"0.15\", expect_size=\"36280320\"] \n  28 -> 29 [size =\"36280320\"]\n  29 [size=\"64931840\", alpha=\"0.18\", expect_size=\"19479552\"] \n  29 -> 30 [size =\"19479552\"]\n  30 [size=\"162164053\", alpha=\"0.05\", expect_size=\"48649216\"] \n  30 -> 31 [size =\"48649216\"]\n  31 [size=\"92996267\", alpha=\"0.12\", expect_size=\"27898880\"] \n  31 -> 32 [size =\"27898880\"]\n  32 [size=\"134369280\", alpha=\"0.16\", expect_size=\"40310784\"] \n  32 -> 33 [size =\"40310784\"]\n  33 [size=\"150405120\", alpha=\"0.05\", expect_size=\"45121536\"] \n  33 -> 34 [size =\"45121536\"]\n  34 [size=\"125771093\", alpha=\"0.17\", expect_size=\"37731328\"] \n  34 -> 35 [size =\"37731328\"]\n  35 [size=\"61252267\", alpha=\"0.20\", expect_size=\"18375680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46657536\", alpha=\"0.11\", expect_size=\"23328768\"] \n  1 -> 25 [size =\"23328768\"]\n  1 -> 28 [size =\"23328768\"]\n  1 -> 30 [size =\"23328768\"]\n  1 -> 31 [size =\"23328768\"]\n  1 -> 32 [size =\"23328768\"]\n  1 -> 35 [size =\"23328768\"]\n  2 [size=\"70748160\", alpha=\"0.17\", expect_size=\"35374080\"] \n  2 -> 25 [size =\"35374080\"]\n  2 -> 26 [size =\"35374080\"]\n  2 -> 29 [size =\"35374080\"]\n  2 -> 31 [size =\"35374080\"]\n  2 -> 32 [size =\"35374080\"]\n  3 [size=\"35518464\", alpha=\"0.07\", expect_size=\"17759232\"] \n  3 -> 26 [size =\"17759232\"]\n  3 -> 26 [size =\"17759232\"]\n  3 -> 30 [size =\"17759232\"]\n  3 -> 31 [size =\"17759232\"]\n  4 [size=\"13504512\", alpha=\"0.15\", expect_size=\"6752256\"] \n  4 -> 24 [size =\"6752256\"]\n  4 -> 25 [size =\"6752256\"]\n  4 -> 30 [size =\"6752256\"]\n  4 -> 34 [size =\"6752256\"]\n  4 -> 35 [size =\"6752256\"]\n  5 [size=\"61222912\", alpha=\"0.18\", expect_size=\"30611456\"] \n  5 -> 25 [size =\"30611456\"]\n  5 -> 30 [size =\"30611456\"]\n  5 -> 30 [size =\"30611456\"]\n  5 -> 31 [size =\"30611456\"]\n  5 -> 35 [size =\"30611456\"]\n  6 [size=\"98830336\", alpha=\"0.02\", expect_size=\"49415168\"] \n  6 -> 25 [size =\"49415168\"]\n  6 -> 26 [size =\"49415168\"]\n  6 -> 30 [size =\"49415168\"]\n  6 -> 31 [size =\"49415168\"]\n  6 -> 32 [size =\"49415168\"]\n  7 [size=\"19810304\", alpha=\"0.16\", expect_size=\"9905152\"] \n  7 -> 25 [size =\"9905152\"]\n  7 -> 27 [size =\"9905152\"]\n  7 -> 33 [size =\"9905152\"]\n  8 [size=\"100536320\", alpha=\"0.12\", expect_size=\"50268160\"] \n  8 -> 25 [size =\"50268160\"]\n  8 -> 30 [size =\"50268160\"]\n  8 -> 32 [size =\"50268160\"]\n  8 -> 34 [size =\"50268160\"]\n  9 [size=\"18905088\", alpha=\"0.04\", expect_size=\"9452544\"] \n  9 -> 25 [size =\"9452544\"]\n  9 -> 26 [size =\"9452544\"]\n  10 [size=\"34062336\", alpha=\"0.10\", expect_size=\"17031168\"] \n  10 -> 25 [size =\"17031168\"]\n  10 -> 26 [size =\"17031168\"]\n  10 -> 27 [size =\"17031168\"]\n  10 -> 28 [size =\"17031168\"]\n  10 -> 30 [size =\"17031168\"]\n  10 -> 33 [size =\"17031168\"]\n  11 [size=\"83492864\", alpha=\"0.07\", expect_size=\"41746432\"] \n  11 -> 24 [size =\"41746432\"]\n  11 -> 25 [size =\"41746432\"]\n  11 -> 26 [size =\"41746432\"]\n  11 -> 31 [size =\"41746432\"]\n  11 -> 35 [size =\"41746432\"]\n  12 [size=\"40626176\", alpha=\"0.13\", expect_size=\"20313088\"] \n  12 -> 31 [size =\"20313088\"]\n  12 -> 33 [size =\"20313088\"]\n  13 [size=\"26941440\", alpha=\"0.06\", expect_size=\"13470720\"] \n  13 -> 26 [size =\"13470720\"]\n  13 -> 29 [size =\"13470720\"]\n  13 -> 30 [size =\"13470720\"]\n  13 -> 31 [size =\"13470720\"]\n  13 -> 32 [size =\"13470720\"]\n  13 -> 33 [size =\"13470720\"]\n  14 [size=\"61147136\", alpha=\"0.07\", expect_size=\"30573568\"] \n  14 -> 27 [size =\"30573568\"]\n  14 -> 32 [size =\"30573568\"]\n  14 -> 33 [size =\"30573568\"]\n  14 -> 34 [size =\"30573568\"]\n  15 [size=\"37281792\", alpha=\"0.11\", expect_size=\"18640896\"] \n  15 -> 26 [size =\"18640896\"]\n  15 -> 34 [size =\"18640896\"]\n  16 [size=\"27998208\", alpha=\"0.12\", expect_size=\"13999104\"] \n  16 -> 25 [size =\"13999104\"]\n  16 -> 26 [size =\"13999104\"]\n  16 -> 35 [size =\"13999104\"]\n  17 [size=\"38260736\", alpha=\"0.13\", expect_size=\"19130368\"] \n  17 -> 30 [size =\"19130368\"]\n  17 -> 31 [size =\"19130368\"]\n  17 -> 35 [size =\"19130368\"]\n  18 [size=\"19845120\", alpha=\"0.04\", expect_size=\"9922560\"] \n  18 -> 27 [size =\"9922560\"]\n  18 -> 30 [size =\"9922560\"]\n  18 -> 31 [size =\"9922560\"]\n  18 -> 34 [size =\"9922560\"]\n  19 [size=\"77234176\", alpha=\"0.17\", expect_size=\"38617088\"] \n  19 -> 30 [size =\"38617088\"]\n  19 -> 32 [size =\"38617088\"]\n  20 [size=\"95250432\", alpha=\"0.11\", expect_size=\"47625216\"] \n  20 -> 24 [size =\"47625216\"]\n  20 -> 26 [size =\"47625216\"]\n  20 -> 31 [size =\"47625216\"]\n  20 -> 32 [size =\"47625216\"]\n  21 [size=\"47527936\", alpha=\"0.13\", expect_size=\"23763968\"] \n  21 -> 26 [size =\"23763968\"]\n  21 -> 30 [size =\"23763968\"]\n  21 -> 32 [size =\"23763968\"]\n  21 -> 33 [size =\"23763968\"]\n  21 -> 34 [size =\"23763968\"]\n  22 [size=\"82741248\", alpha=\"0.08\", expect_size=\"41370624\"] \n  22 -> 27 [size =\"41370624\"]\n  22 -> 29 [size =\"41370624\"]\n  22 -> 32 [size =\"41370624\"]\n  22 -> 33 [size =\"41370624\"]\n  23 [size=\"49702912\", alpha=\"0.08\", expect_size=\"24851456\"] \n  23 -> 25 [size =\"24851456\"]\n  23 -> 28 [size =\"24851456\"]\n  23 -> 30 [size =\"24851456\"]\n  23 -> 32 [size =\"24851456\"]\n  24 [size=\"80103424\", alpha=\"0.09\", expect_size=\"40051712\"] \n  25 [size=\"17412096\", alpha=\"0.00\", expect_size=\"8706048\"] \n  26 [size=\"67411968\", alpha=\"0.11\", expect_size=\"33705984\"] \n  27 [size=\"27467776\", alpha=\"0.03\", expect_size=\"13733888\"] \n  28 [size=\"87339008\", alpha=\"0.14\", expect_size=\"43669504\"] \n  29 [size=\"104421376\", alpha=\"0.07\", expect_size=\"52210688\"] \n  30 [size=\"88563712\", alpha=\"0.05\", expect_size=\"44281856\"] \n  31 [size=\"46295040\", alpha=\"0.19\", expect_size=\"23147520\"] \n  32 [size=\"13791232\", alpha=\"0.19\", expect_size=\"6895616\"] \n  33 [size=\"51310592\", alpha=\"0.02\", expect_size=\"25655296\"] \n  34 [size=\"89518080\", alpha=\"0.17\", expect_size=\"44759040\"] \n  35 [size=\"37060608\", alpha=\"0.16\", expect_size=\"18530304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11952128\", alpha=\"0.02\", expect_size=\"5976064\"] \n  1 -> 13 [size =\"5976064\"]\n  1 -> 16 [size =\"5976064\"]\n  1 -> 18 [size =\"5976064\"]\n  1 -> 19 [size =\"5976064\"]\n  1 -> 22 [size =\"5976064\"]\n  2 [size=\"57176064\", alpha=\"0.08\", expect_size=\"28588032\"] \n  2 -> 13 [size =\"28588032\"]\n  2 -> 16 [size =\"28588032\"]\n  2 -> 22 [size =\"28588032\"]\n  3 [size=\"89458688\", alpha=\"0.07\", expect_size=\"44729344\"] \n  3 -> 13 [size =\"44729344\"]\n  3 -> 22 [size =\"44729344\"]\n  4 [size=\"39811072\", alpha=\"0.10\", expect_size=\"19905536\"] \n  4 -> 13 [size =\"19905536\"]\n  4 -> 15 [size =\"19905536\"]\n  4 -> 22 [size =\"19905536\"]\n  5 [size=\"20604928\", alpha=\"0.09\", expect_size=\"10302464\"] \n  5 -> 13 [size =\"10302464\"]\n  5 -> 19 [size =\"10302464\"]\n  6 [size=\"50728960\", alpha=\"0.05\", expect_size=\"25364480\"] \n  6 -> 17 [size =\"25364480\"]\n  6 -> 22 [size =\"25364480\"]\n  7 [size=\"25440256\", alpha=\"0.04\", expect_size=\"12720128\"] \n  7 -> 13 [size =\"12720128\"]\n  7 -> 14 [size =\"12720128\"]\n  7 -> 15 [size =\"12720128\"]\n  8 [size=\"57413632\", alpha=\"0.00\", expect_size=\"28706816\"] \n  8 -> 20 [size =\"28706816\"]\n  9 [size=\"13561856\", alpha=\"0.07\", expect_size=\"6780928\"] \n  9 -> 17 [size =\"6780928\"]\n  9 -> 21 [size =\"6780928\"]\n  10 [size=\"99377152\", alpha=\"0.14\", expect_size=\"49688576\"] \n  10 -> 16 [size =\"49688576\"]\n  10 -> 19 [size =\"49688576\"]\n  11 [size=\"98209792\", alpha=\"0.03\", expect_size=\"49104896\"] \n  11 -> 17 [size =\"49104896\"]\n  11 -> 19 [size =\"49104896\"]\n  11 -> 20 [size =\"49104896\"]\n  11 -> 21 [size =\"49104896\"]\n  11 -> 22 [size =\"49104896\"]\n  12 [size=\"11317248\", alpha=\"0.02\", expect_size=\"5658624\"] \n  12 -> 19 [size =\"5658624\"]\n  12 -> 22 [size =\"5658624\"]\n  13 [size=\"46733312\", alpha=\"0.19\", expect_size=\"23366656\"] \n  13 -> 23 [size =\"23366656\"]\n  13 -> 25 [size =\"23366656\"]\n  13 -> 29 [size =\"23366656\"]\n  13 -> 30 [size =\"23366656\"]\n  13 -> 32 [size =\"23366656\"]\n  14 [size=\"80218112\", alpha=\"0.16\", expect_size=\"40109056\"] \n  14 -> 23 [size =\"40109056\"]\n  14 -> 25 [size =\"40109056\"]\n  14 -> 35 [size =\"40109056\"]\n  15 [size=\"34904064\", alpha=\"0.01\", expect_size=\"17452032\"] \n  15 -> 23 [size =\"17452032\"]\n  15 -> 24 [size =\"17452032\"]\n  15 -> 26 [size =\"17452032\"]\n  15 -> 27 [size =\"17452032\"]\n  15 -> 28 [size =\"17452032\"]\n  15 -> 31 [size =\"17452032\"]\n  16 [size=\"78655488\", alpha=\"0.20\", expect_size=\"39327744\"] \n  16 -> 26 [size =\"39327744\"]\n  16 -> 27 [size =\"39327744\"]\n  16 -> 31 [size =\"39327744\"]\n  17 [size=\"101521408\", alpha=\"0.14\", expect_size=\"50760704\"] \n  17 -> 25 [size =\"50760704\"]\n  18 [size=\"25548800\", alpha=\"0.05\", expect_size=\"12774400\"] \n  18 -> 25 [size =\"12774400\"]\n  18 -> 28 [size =\"12774400\"]\n  18 -> 30 [size =\"12774400\"]\n  18 -> 34 [size =\"12774400\"]\n  19 [size=\"26191872\", alpha=\"0.12\", expect_size=\"13095936\"] \n  19 -> 25 [size =\"13095936\"]\n  19 -> 27 [size =\"13095936\"]\n  19 -> 28 [size =\"13095936\"]\n  19 -> 30 [size =\"13095936\"]\n  19 -> 34 [size =\"13095936\"]\n  19 -> 35 [size =\"13095936\"]\n  20 [size=\"61575168\", alpha=\"0.10\", expect_size=\"30787584\"] \n  20 -> 26 [size =\"30787584\"]\n  20 -> 27 [size =\"30787584\"]\n  20 -> 30 [size =\"30787584\"]\n  20 -> 33 [size =\"30787584\"]\n  20 -> 34 [size =\"30787584\"]\n  20 -> 35 [size =\"30787584\"]\n  21 [size=\"35516416\", alpha=\"0.08\", expect_size=\"17758208\"] \n  21 -> 26 [size =\"17758208\"]\n  21 -> 27 [size =\"17758208\"]\n  21 -> 30 [size =\"17758208\"]\n  21 -> 33 [size =\"17758208\"]\n  21 -> 34 [size =\"17758208\"]\n  21 -> 35 [size =\"17758208\"]\n  22 [size=\"48379904\", alpha=\"0.16\", expect_size=\"24189952\"] \n  22 -> 23 [size =\"24189952\"]\n  22 -> 26 [size =\"24189952\"]\n  22 -> 30 [size =\"24189952\"]\n  22 -> 33 [size =\"24189952\"]\n  22 -> 34 [size =\"24189952\"]\n  22 -> 35 [size =\"24189952\"]\n  23 [size=\"55873536\", alpha=\"0.00\", expect_size=\"27936768\"] \n  24 [size=\"51922944\", alpha=\"0.11\", expect_size=\"25961472\"] \n  25 [size=\"33546240\", alpha=\"0.04\", expect_size=\"16773120\"] \n  26 [size=\"39729152\", alpha=\"0.05\", expect_size=\"19864576\"] \n  27 [size=\"38975488\", alpha=\"0.10\", expect_size=\"19487744\"] \n  28 [size=\"104554496\", alpha=\"0.05\", expect_size=\"52277248\"] \n  29 [size=\"33968128\", alpha=\"0.20\", expect_size=\"16984064\"] \n  30 [size=\"92100608\", alpha=\"0.14\", expect_size=\"46050304\"] \n  31 [size=\"44650496\", alpha=\"0.07\", expect_size=\"22325248\"] \n  32 [size=\"81825792\", alpha=\"0.19\", expect_size=\"40912896\"] \n  33 [size=\"61575168\", alpha=\"0.20\", expect_size=\"30787584\"] \n  34 [size=\"62875648\", alpha=\"0.15\", expect_size=\"31437824\"] \n  35 [size=\"20678656\", alpha=\"0.16\", expect_size=\"10339328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64245760\", alpha=\"0.10\", expect_size=\"25698304\"] \n  1 -> 3 [size =\"25698304\"]\n  2 [size=\"121792000\", alpha=\"0.11\", expect_size=\"48716800\"] \n  3 [size=\"130608640\", alpha=\"0.06\", expect_size=\"52243456\"] \n  3 -> 4 [size =\"52243456\"]\n  3 -> 5 [size =\"52243456\"]\n  4 [size=\"33095680\", alpha=\"0.09\", expect_size=\"13238272\"] \n  4 -> 6 [size =\"13238272\"]\n  5 [size=\"124943360\", alpha=\"0.03\", expect_size=\"49977344\"] \n  5 -> 6 [size =\"49977344\"]\n  6 [size=\"69639680\", alpha=\"0.03\", expect_size=\"27855872\"] \n  6 -> 7 [size =\"27855872\"]\n  6 -> 8 [size =\"27855872\"]\n  7 [size=\"116313600\", alpha=\"0.16\", expect_size=\"46525440\"] \n  7 -> 9 [size =\"46525440\"]\n  7 -> 10 [size =\"46525440\"]\n  8 [size=\"51287040\", alpha=\"0.16\", expect_size=\"20514816\"] \n  9 [size=\"65651200\", alpha=\"0.03\", expect_size=\"26260480\"] \n  9 -> 11 [size =\"26260480\"]\n  9 -> 12 [size =\"26260480\"]\n  10 [size=\"36032000\", alpha=\"0.08\", expect_size=\"14412800\"] \n  10 -> 11 [size =\"14412800\"]\n  10 -> 12 [size =\"14412800\"]\n  11 [size=\"107752960\", alpha=\"0.18\", expect_size=\"43101184\"] \n  11 -> 14 [size =\"43101184\"]\n  12 [size=\"50680320\", alpha=\"0.16\", expect_size=\"20272128\"] \n  12 -> 13 [size =\"20272128\"]\n  12 -> 14 [size =\"20272128\"]\n  13 [size=\"115660800\", alpha=\"0.20\", expect_size=\"46264320\"] \n  13 -> 15 [size =\"46264320\"]\n  14 [size=\"31498240\", alpha=\"0.16\", expect_size=\"12599296\"] \n  14 -> 15 [size =\"12599296\"]\n  15 [size=\"83942400\", alpha=\"0.02\", expect_size=\"33576960\"] \n  15 -> 16 [size =\"33576960\"]\n  16 [size=\"103319040\", alpha=\"0.17\", expect_size=\"41327616\"] \n  16 -> 17 [size =\"41327616\"]\n  17 [size=\"123847680\", alpha=\"0.17\", expect_size=\"49539072\"] \n  17 -> 18 [size =\"49539072\"]\n  18 [size=\"99276800\", alpha=\"0.06\", expect_size=\"39710720\"] \n  18 -> 19 [size =\"39710720\"]\n  18 -> 20 [size =\"39710720\"]\n  19 [size=\"78448640\", alpha=\"0.15\", expect_size=\"31379456\"] \n  20 [size=\"95262720\", alpha=\"0.02\", expect_size=\"38105088\"] \n  20 -> 21 [size =\"38105088\"]\n  21 [size=\"26457600\", alpha=\"0.17\", expect_size=\"10583040\"] \n  21 -> 22 [size =\"10583040\"]\n  21 -> 23 [size =\"10583040\"]\n  22 [size=\"130447360\", alpha=\"0.11\", expect_size=\"52178944\"] \n  22 -> 24 [size =\"52178944\"]\n  23 [size=\"108564480\", alpha=\"0.05\", expect_size=\"43425792\"] \n  23 -> 24 [size =\"43425792\"]\n  24 [size=\"108416000\", alpha=\"0.02\", expect_size=\"43366400\"] \n  24 -> 25 [size =\"43366400\"]\n  25 [size=\"82065920\", alpha=\"0.18\", expect_size=\"32826368\"] \n  25 -> 26 [size =\"32826368\"]\n  25 -> 27 [size =\"32826368\"]\n  26 [size=\"91018240\", alpha=\"0.04\", expect_size=\"36407296\"] \n  26 -> 28 [size =\"36407296\"]\n  27 [size=\"74688000\", alpha=\"0.08\", expect_size=\"29875200\"] \n  28 [size=\"54110720\", alpha=\"0.17\", expect_size=\"21644288\"] \n  28 -> 29 [size =\"21644288\"]\n  28 -> 30 [size =\"21644288\"]\n  29 [size=\"88524800\", alpha=\"0.16\", expect_size=\"35409920\"] \n  29 -> 31 [size =\"35409920\"]\n  30 [size=\"58844160\", alpha=\"0.18\", expect_size=\"23537664\"] \n  30 -> 32 [size =\"23537664\"]\n  31 [size=\"69404160\", alpha=\"0.17\", expect_size=\"27761664\"] \n  31 -> 33 [size =\"27761664\"]\n  32 [size=\"53378560\", alpha=\"0.02\", expect_size=\"21351424\"] \n  32 -> 33 [size =\"21351424\"]\n  33 [size=\"119452160\", alpha=\"0.04\", expect_size=\"47780864\"] \n  33 -> 34 [size =\"47780864\"]\n  33 -> 35 [size =\"47780864\"]\n  34 [size=\"31237120\", alpha=\"0.10\", expect_size=\"12494848\"] \n  35 [size=\"44648960\", alpha=\"0.07\", expect_size=\"17859584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136198827\", alpha=\"0.18\", expect_size=\"40859648\"] \n  1 -> 2 [size =\"40859648\"]\n  2 [size=\"154784427\", alpha=\"0.02\", expect_size=\"46435328\"] \n  2 -> 3 [size =\"46435328\"]\n  3 [size=\"62112427\", alpha=\"0.20\", expect_size=\"18633728\"] \n  3 -> 4 [size =\"18633728\"]\n  4 [size=\"69604693\", alpha=\"0.09\", expect_size=\"20881408\"] \n  4 -> 5 [size =\"20881408\"]\n  5 [size=\"66324480\", alpha=\"0.03\", expect_size=\"19897344\"] \n  5 -> 6 [size =\"19897344\"]\n  6 [size=\"155252053\", alpha=\"0.10\", expect_size=\"46575616\"] \n  6 -> 7 [size =\"46575616\"]\n  7 [size=\"77346133\", alpha=\"0.08\", expect_size=\"23203840\"] \n  7 -> 8 [size =\"23203840\"]\n  8 [size=\"150289067\", alpha=\"0.14\", expect_size=\"45086720\"] \n  8 -> 9 [size =\"45086720\"]\n  9 [size=\"106605227\", alpha=\"0.02\", expect_size=\"31981568\"] \n  9 -> 10 [size =\"31981568\"]\n  10 [size=\"54944427\", alpha=\"0.14\", expect_size=\"16483328\"] \n  10 -> 11 [size =\"16483328\"]\n  11 [size=\"49585493\", alpha=\"0.05\", expect_size=\"14875648\"] \n  11 -> 12 [size =\"14875648\"]\n  12 [size=\"34327893\", alpha=\"0.08\", expect_size=\"10298368\"] \n  12 -> 13 [size =\"10298368\"]\n  13 [size=\"46359893\", alpha=\"0.01\", expect_size=\"13907968\"] \n  13 -> 14 [size =\"13907968\"]\n  14 [size=\"44820480\", alpha=\"0.14\", expect_size=\"13446144\"] \n  14 -> 15 [size =\"13446144\"]\n  15 [size=\"112977920\", alpha=\"0.07\", expect_size=\"33893376\"] \n  15 -> 16 [size =\"33893376\"]\n  16 [size=\"133372587\", alpha=\"0.20\", expect_size=\"40011776\"] \n  16 -> 17 [size =\"40011776\"]\n  17 [size=\"54971733\", alpha=\"0.06\", expect_size=\"16491520\"] \n  17 -> 18 [size =\"16491520\"]\n  18 [size=\"119913813\", alpha=\"0.20\", expect_size=\"35974144\"] \n  18 -> 19 [size =\"35974144\"]\n  19 [size=\"76206080\", alpha=\"0.15\", expect_size=\"22861824\"] \n  19 -> 20 [size =\"22861824\"]\n  20 [size=\"95262720\", alpha=\"0.03\", expect_size=\"28578816\"] \n  20 -> 21 [size =\"28578816\"]\n  21 [size=\"50633387\", alpha=\"0.06\", expect_size=\"15190016\"] \n  21 -> 22 [size =\"15190016\"]\n  22 [size=\"93265920\", alpha=\"0.06\", expect_size=\"27979776\"] \n  22 -> 23 [size =\"27979776\"]\n  23 [size=\"159235413\", alpha=\"0.12\", expect_size=\"47770624\"] \n  23 -> 24 [size =\"47770624\"]\n  24 [size=\"169543680\", alpha=\"0.05\", expect_size=\"50863104\"] \n  24 -> 25 [size =\"50863104\"]\n  25 [size=\"121108480\", alpha=\"0.03\", expect_size=\"36332544\"] \n  25 -> 26 [size =\"36332544\"]\n  26 [size=\"173301760\", alpha=\"0.20\", expect_size=\"51990528\"] \n  26 -> 27 [size =\"51990528\"]\n  27 [size=\"172383573\", alpha=\"0.04\", expect_size=\"51715072\"] \n  27 -> 28 [size =\"51715072\"]\n  28 [size=\"66129920\", alpha=\"0.04\", expect_size=\"19838976\"] \n  28 -> 29 [size =\"19838976\"]\n  29 [size=\"64020480\", alpha=\"0.17\", expect_size=\"19206144\"] \n  29 -> 30 [size =\"19206144\"]\n  30 [size=\"26559147\", alpha=\"0.13\", expect_size=\"7967744\"] \n  30 -> 31 [size =\"7967744\"]\n  31 [size=\"49783467\", alpha=\"0.14\", expect_size=\"14935040\"] \n  31 -> 32 [size =\"14935040\"]\n  32 [size=\"95136427\", alpha=\"0.18\", expect_size=\"28540928\"] \n  32 -> 33 [size =\"28540928\"]\n  33 [size=\"142636373\", alpha=\"0.04\", expect_size=\"42790912\"] \n  33 -> 34 [size =\"42790912\"]\n  34 [size=\"79639893\", alpha=\"0.15\", expect_size=\"23891968\"] \n  34 -> 35 [size =\"23891968\"]\n  35 [size=\"115565227\", alpha=\"0.17\", expect_size=\"34669568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76707840\", alpha=\"0.19\", expect_size=\"38353920\"] \n  1 -> 4 [size =\"38353920\"]\n  1 -> 5 [size =\"38353920\"]\n  1 -> 6 [size =\"38353920\"]\n  1 -> 7 [size =\"38353920\"]\n  1 -> 8 [size =\"38353920\"]\n  2 [size=\"87697408\", alpha=\"0.03\", expect_size=\"43848704\"] \n  2 -> 5 [size =\"43848704\"]\n  2 -> 7 [size =\"43848704\"]\n  3 [size=\"53862400\", alpha=\"0.17\", expect_size=\"26931200\"] \n  3 -> 4 [size =\"26931200\"]\n  3 -> 9 [size =\"26931200\"]\n  4 [size=\"13998080\", alpha=\"0.18\", expect_size=\"6999040\"] \n  4 -> 11 [size =\"6999040\"]\n  5 [size=\"25767936\", alpha=\"0.18\", expect_size=\"12883968\"] \n  6 [size=\"48623616\", alpha=\"0.18\", expect_size=\"24311808\"] \n  6 -> 10 [size =\"24311808\"]\n  7 [size=\"80726016\", alpha=\"0.08\", expect_size=\"40363008\"] \n  7 -> 11 [size =\"40363008\"]\n  7 -> 12 [size =\"40363008\"]\n  8 [size=\"79630336\", alpha=\"0.11\", expect_size=\"39815168\"] \n  9 [size=\"62885888\", alpha=\"0.10\", expect_size=\"31442944\"] \n  10 [size=\"16736256\", alpha=\"0.13\", expect_size=\"8368128\"] \n  10 -> 14 [size =\"8368128\"]\n  10 -> 16 [size =\"8368128\"]\n  10 -> 18 [size =\"8368128\"]\n  11 [size=\"83439616\", alpha=\"0.10\", expect_size=\"41719808\"] \n  11 -> 13 [size =\"41719808\"]\n  11 -> 14 [size =\"41719808\"]\n  11 -> 15 [size =\"41719808\"]\n  11 -> 16 [size =\"41719808\"]\n  11 -> 17 [size =\"41719808\"]\n  12 [size=\"76660736\", alpha=\"0.04\", expect_size=\"38330368\"] \n  12 -> 13 [size =\"38330368\"]\n  12 -> 17 [size =\"38330368\"]\n  12 -> 18 [size =\"38330368\"]\n  12 -> 19 [size =\"38330368\"]\n  13 [size=\"90761216\", alpha=\"0.02\", expect_size=\"45380608\"] \n  13 -> 20 [size =\"45380608\"]\n  13 -> 23 [size =\"45380608\"]\n  14 [size=\"75700224\", alpha=\"0.13\", expect_size=\"37850112\"] \n  14 -> 21 [size =\"37850112\"]\n  14 -> 23 [size =\"37850112\"]\n  15 [size=\"65024000\", alpha=\"0.03\", expect_size=\"32512000\"] \n  15 -> 20 [size =\"32512000\"]\n  15 -> 22 [size =\"32512000\"]\n  16 [size=\"56322048\", alpha=\"0.20\", expect_size=\"28161024\"] \n  17 [size=\"48719872\", alpha=\"0.14\", expect_size=\"24359936\"] \n  18 [size=\"86829056\", alpha=\"0.06\", expect_size=\"43414528\"] \n  18 -> 24 [size =\"43414528\"]\n  19 [size=\"46159872\", alpha=\"0.05\", expect_size=\"23079936\"] \n  19 -> 20 [size =\"23079936\"]\n  19 -> 21 [size =\"23079936\"]\n  20 [size=\"93593600\", alpha=\"0.11\", expect_size=\"46796800\"] \n  20 -> 26 [size =\"46796800\"]\n  21 [size=\"61542400\", alpha=\"0.12\", expect_size=\"30771200\"] \n  21 -> 25 [size =\"30771200\"]\n  22 [size=\"14499840\", alpha=\"0.08\", expect_size=\"7249920\"] \n  22 -> 27 [size =\"7249920\"]\n  22 -> 28 [size =\"7249920\"]\n  23 [size=\"34848768\", alpha=\"0.14\", expect_size=\"17424384\"] \n  24 [size=\"41947136\", alpha=\"0.01\", expect_size=\"20973568\"] \n  24 -> 25 [size =\"20973568\"]\n  24 -> 27 [size =\"20973568\"]\n  24 -> 28 [size =\"20973568\"]\n  25 [size=\"103710720\", alpha=\"0.11\", expect_size=\"51855360\"] \n  25 -> 29 [size =\"51855360\"]\n  25 -> 31 [size =\"51855360\"]\n  26 [size=\"21653504\", alpha=\"0.09\", expect_size=\"10826752\"] \n  26 -> 29 [size =\"10826752\"]\n  26 -> 30 [size =\"10826752\"]\n  26 -> 31 [size =\"10826752\"]\n  27 [size=\"21239808\", alpha=\"0.02\", expect_size=\"10619904\"] \n  27 -> 30 [size =\"10619904\"]\n  28 [size=\"86272000\", alpha=\"0.10\", expect_size=\"43136000\"] \n  29 [size=\"21327872\", alpha=\"0.09\", expect_size=\"10663936\"] \n  29 -> 33 [size =\"10663936\"]\n  29 -> 34 [size =\"10663936\"]\n  30 [size=\"43397120\", alpha=\"0.09\", expect_size=\"21698560\"] \n  31 [size=\"95754240\", alpha=\"0.04\", expect_size=\"47877120\"] \n  31 -> 32 [size =\"47877120\"]\n  31 -> 33 [size =\"47877120\"]\n  31 -> 34 [size =\"47877120\"]\n  31 -> 35 [size =\"47877120\"]\n  32 [size=\"55877632\", alpha=\"0.14\", expect_size=\"27938816\"] \n  33 [size=\"95354880\", alpha=\"0.00\", expect_size=\"47677440\"] \n  34 [size=\"68816896\", alpha=\"0.00\", expect_size=\"34408448\"] \n  35 [size=\"74153984\", alpha=\"0.12\", expect_size=\"37076992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64897024\", alpha=\"0.07\", expect_size=\"32448512\"] \n  1 -> 15 [size =\"32448512\"]\n  2 [size=\"93831168\", alpha=\"0.16\", expect_size=\"46915584\"] \n  2 -> 14 [size =\"46915584\"]\n  2 -> 15 [size =\"46915584\"]\n  2 -> 18 [size =\"46915584\"]\n  2 -> 20 [size =\"46915584\"]\n  2 -> 22 [size =\"46915584\"]\n  3 [size=\"11855872\", alpha=\"0.03\", expect_size=\"5927936\"] \n  3 -> 16 [size =\"5927936\"]\n  3 -> 20 [size =\"5927936\"]\n  3 -> 22 [size =\"5927936\"]\n  4 [size=\"12519424\", alpha=\"0.19\", expect_size=\"6259712\"] \n  4 -> 19 [size =\"6259712\"]\n  4 -> 20 [size =\"6259712\"]\n  5 [size=\"37341184\", alpha=\"0.11\", expect_size=\"18670592\"] \n  5 -> 15 [size =\"18670592\"]\n  5 -> 16 [size =\"18670592\"]\n  5 -> 19 [size =\"18670592\"]\n  5 -> 20 [size =\"18670592\"]\n  5 -> 23 [size =\"18670592\"]\n  6 [size=\"102266880\", alpha=\"0.06\", expect_size=\"51133440\"] \n  6 -> 15 [size =\"51133440\"]\n  6 -> 21 [size =\"51133440\"]\n  6 -> 22 [size =\"51133440\"]\n  6 -> 23 [size =\"51133440\"]\n  7 [size=\"19220480\", alpha=\"0.03\", expect_size=\"9610240\"] \n  7 -> 16 [size =\"9610240\"]\n  7 -> 18 [size =\"9610240\"]\n  7 -> 22 [size =\"9610240\"]\n  7 -> 23 [size =\"9610240\"]\n  8 [size=\"89176064\", alpha=\"0.13\", expect_size=\"44588032\"] \n  8 -> 19 [size =\"44588032\"]\n  8 -> 22 [size =\"44588032\"]\n  8 -> 23 [size =\"44588032\"]\n  9 [size=\"66682880\", alpha=\"0.17\", expect_size=\"33341440\"] \n  9 -> 20 [size =\"33341440\"]\n  9 -> 22 [size =\"33341440\"]\n  9 -> 23 [size =\"33341440\"]\n  10 [size=\"92356608\", alpha=\"0.00\", expect_size=\"46178304\"] \n  10 -> 13 [size =\"46178304\"]\n  10 -> 15 [size =\"46178304\"]\n  10 -> 16 [size =\"46178304\"]\n  10 -> 17 [size =\"46178304\"]\n  11 [size=\"83527680\", alpha=\"0.18\", expect_size=\"41763840\"] \n  11 -> 18 [size =\"41763840\"]\n  11 -> 22 [size =\"41763840\"]\n  12 [size=\"21491712\", alpha=\"0.14\", expect_size=\"10745856\"] \n  12 -> 15 [size =\"10745856\"]\n  13 [size=\"98408448\", alpha=\"0.13\", expect_size=\"49204224\"] \n  13 -> 26 [size =\"49204224\"]\n  13 -> 27 [size =\"49204224\"]\n  13 -> 31 [size =\"49204224\"]\n  13 -> 33 [size =\"49204224\"]\n  14 [size=\"17686528\", alpha=\"0.18\", expect_size=\"8843264\"] \n  14 -> 24 [size =\"8843264\"]\n  14 -> 27 [size =\"8843264\"]\n  14 -> 28 [size =\"8843264\"]\n  14 -> 34 [size =\"8843264\"]\n  15 [size=\"12576768\", alpha=\"0.02\", expect_size=\"6288384\"] \n  15 -> 24 [size =\"6288384\"]\n  15 -> 26 [size =\"6288384\"]\n  15 -> 27 [size =\"6288384\"]\n  15 -> 31 [size =\"6288384\"]\n  16 [size=\"66289664\", alpha=\"0.06\", expect_size=\"33144832\"] \n  16 -> 27 [size =\"33144832\"]\n  16 -> 29 [size =\"33144832\"]\n  16 -> 32 [size =\"33144832\"]\n  16 -> 33 [size =\"33144832\"]\n  17 [size=\"95594496\", alpha=\"0.13\", expect_size=\"47797248\"] \n  17 -> 29 [size =\"47797248\"]\n  17 -> 32 [size =\"47797248\"]\n  17 -> 32 [size =\"47797248\"]\n  17 -> 33 [size =\"47797248\"]\n  17 -> 35 [size =\"47797248\"]\n  18 [size=\"15456256\", alpha=\"0.01\", expect_size=\"7728128\"] \n  18 -> 27 [size =\"7728128\"]\n  18 -> 29 [size =\"7728128\"]\n  18 -> 32 [size =\"7728128\"]\n  18 -> 33 [size =\"7728128\"]\n  18 -> 35 [size =\"7728128\"]\n  19 [size=\"78589952\", alpha=\"0.13\", expect_size=\"39294976\"] \n  19 -> 24 [size =\"39294976\"]\n  19 -> 25 [size =\"39294976\"]\n  19 -> 35 [size =\"39294976\"]\n  20 [size=\"65984512\", alpha=\"0.02\", expect_size=\"32992256\"] \n  20 -> 24 [size =\"32992256\"]\n  20 -> 25 [size =\"32992256\"]\n  20 -> 29 [size =\"32992256\"]\n  20 -> 31 [size =\"32992256\"]\n  20 -> 33 [size =\"32992256\"]\n  21 [size=\"67512320\", alpha=\"0.03\", expect_size=\"33756160\"] \n  21 -> 28 [size =\"33756160\"]\n  21 -> 29 [size =\"33756160\"]\n  21 -> 31 [size =\"33756160\"]\n  21 -> 31 [size =\"33756160\"]\n  21 -> 32 [size =\"33756160\"]\n  21 -> 33 [size =\"33756160\"]\n  22 [size=\"57755648\", alpha=\"0.02\", expect_size=\"28877824\"] \n  22 -> 25 [size =\"28877824\"]\n  22 -> 27 [size =\"28877824\"]\n  22 -> 28 [size =\"28877824\"]\n  22 -> 30 [size =\"28877824\"]\n  22 -> 31 [size =\"28877824\"]\n  22 -> 32 [size =\"28877824\"]\n  22 -> 35 [size =\"28877824\"]\n  23 [size=\"28993536\", alpha=\"0.01\", expect_size=\"14496768\"] \n  23 -> 29 [size =\"14496768\"]\n  23 -> 30 [size =\"14496768\"]\n  24 [size=\"89823232\", alpha=\"0.01\", expect_size=\"44911616\"] \n  25 [size=\"80424960\", alpha=\"0.06\", expect_size=\"40212480\"] \n  26 [size=\"90589184\", alpha=\"0.11\", expect_size=\"45294592\"] \n  27 [size=\"26693632\", alpha=\"0.17\", expect_size=\"13346816\"] \n  28 [size=\"87312384\", alpha=\"0.01\", expect_size=\"43656192\"] \n  29 [size=\"89950208\", alpha=\"0.16\", expect_size=\"44975104\"] \n  30 [size=\"54683648\", alpha=\"0.08\", expect_size=\"27341824\"] \n  31 [size=\"64966656\", alpha=\"0.16\", expect_size=\"32483328\"] \n  32 [size=\"80838656\", alpha=\"0.07\", expect_size=\"40419328\"] \n  33 [size=\"91275264\", alpha=\"0.16\", expect_size=\"45637632\"] \n  34 [size=\"97648640\", alpha=\"0.06\", expect_size=\"48824320\"] \n  35 [size=\"101988352\", alpha=\"0.17\", expect_size=\"50994176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112704000\", alpha=\"0.10\", expect_size=\"45081600\"] \n  1 -> 2 [size =\"45081600\"]\n  2 [size=\"46456320\", alpha=\"0.12\", expect_size=\"18582528\"] \n  2 -> 3 [size =\"18582528\"]\n  3 [size=\"58240000\", alpha=\"0.12\", expect_size=\"23296000\"] \n  3 -> 4 [size =\"23296000\"]\n  3 -> 5 [size =\"23296000\"]\n  4 [size=\"24645120\", alpha=\"0.08\", expect_size=\"9858048\"] \n  4 -> 6 [size =\"9858048\"]\n  5 [size=\"95795200\", alpha=\"0.06\", expect_size=\"38318080\"] \n  5 -> 6 [size =\"38318080\"]\n  6 [size=\"117176320\", alpha=\"0.16\", expect_size=\"46870528\"] \n  6 -> 7 [size =\"46870528\"]\n  6 -> 8 [size =\"46870528\"]\n  7 [size=\"96046080\", alpha=\"0.04\", expect_size=\"38418432\"] \n  7 -> 9 [size =\"38418432\"]\n  7 -> 10 [size =\"38418432\"]\n  8 [size=\"119613440\", alpha=\"0.16\", expect_size=\"47845376\"] \n  8 -> 10 [size =\"47845376\"]\n  9 [size=\"43425280\", alpha=\"0.15\", expect_size=\"17370112\"] \n  9 -> 11 [size =\"17370112\"]\n  9 -> 12 [size =\"17370112\"]\n  10 [size=\"66460160\", alpha=\"0.03\", expect_size=\"26584064\"] \n  10 -> 11 [size =\"26584064\"]\n  10 -> 12 [size =\"26584064\"]\n  11 [size=\"41244160\", alpha=\"0.15\", expect_size=\"16497664\"] \n  11 -> 14 [size =\"16497664\"]\n  12 [size=\"97699840\", alpha=\"0.05\", expect_size=\"39079936\"] \n  12 -> 13 [size =\"39079936\"]\n  12 -> 14 [size =\"39079936\"]\n  13 [size=\"49387520\", alpha=\"0.04\", expect_size=\"19755008\"] \n  14 [size=\"120266240\", alpha=\"0.09\", expect_size=\"48106496\"] \n  14 -> 15 [size =\"48106496\"]\n  15 [size=\"47575040\", alpha=\"0.11\", expect_size=\"19030016\"] \n  15 -> 16 [size =\"19030016\"]\n  16 [size=\"83970560\", alpha=\"0.02\", expect_size=\"33588224\"] \n  16 -> 17 [size =\"33588224\"]\n  17 [size=\"57512960\", alpha=\"0.01\", expect_size=\"23005184\"] \n  17 -> 18 [size =\"23005184\"]\n  17 -> 19 [size =\"23005184\"]\n  18 [size=\"81548800\", alpha=\"0.12\", expect_size=\"32619520\"] \n  19 [size=\"58040320\", alpha=\"0.13\", expect_size=\"23216128\"] \n  19 -> 20 [size =\"23216128\"]\n  20 [size=\"29207040\", alpha=\"0.18\", expect_size=\"11682816\"] \n  20 -> 21 [size =\"11682816\"]\n  21 [size=\"46755840\", alpha=\"0.01\", expect_size=\"18702336\"] \n  21 -> 22 [size =\"18702336\"]\n  22 [size=\"15848960\", alpha=\"0.09\", expect_size=\"6339584\"] \n  22 -> 23 [size =\"6339584\"]\n  22 -> 24 [size =\"6339584\"]\n  23 [size=\"43402240\", alpha=\"0.04\", expect_size=\"17360896\"] \n  23 -> 25 [size =\"17360896\"]\n  23 -> 26 [size =\"17360896\"]\n  24 [size=\"67694080\", alpha=\"0.02\", expect_size=\"27077632\"] \n  24 -> 25 [size =\"27077632\"]\n  24 -> 26 [size =\"27077632\"]\n  25 [size=\"118156800\", alpha=\"0.14\", expect_size=\"47262720\"] \n  26 [size=\"63818240\", alpha=\"0.03\", expect_size=\"25527296\"] \n  26 -> 27 [size =\"25527296\"]\n  27 [size=\"78018560\", alpha=\"0.07\", expect_size=\"31207424\"] \n  27 -> 28 [size =\"31207424\"]\n  27 -> 29 [size =\"31207424\"]\n  28 [size=\"85327360\", alpha=\"0.08\", expect_size=\"34130944\"] \n  29 [size=\"35205120\", alpha=\"0.15\", expect_size=\"14082048\"] \n  29 -> 30 [size =\"14082048\"]\n  29 -> 31 [size =\"14082048\"]\n  30 [size=\"109306880\", alpha=\"0.11\", expect_size=\"43722752\"] \n  30 -> 32 [size =\"43722752\"]\n  31 [size=\"98319360\", alpha=\"0.11\", expect_size=\"39327744\"] \n  31 -> 32 [size =\"39327744\"]\n  32 [size=\"101839360\", alpha=\"0.06\", expect_size=\"40735744\"] \n  32 -> 33 [size =\"40735744\"]\n  33 [size=\"35253760\", alpha=\"0.07\", expect_size=\"14101504\"] \n  33 -> 34 [size =\"14101504\"]\n  34 [size=\"61665280\", alpha=\"0.06\", expect_size=\"24666112\"] \n  34 -> 35 [size =\"24666112\"]\n  35 [size=\"74641920\", alpha=\"0.11\", expect_size=\"29856768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68773888\", alpha=\"0.12\", expect_size=\"34386944\"] \n  1 -> 28 [size =\"34386944\"]\n  1 -> 29 [size =\"34386944\"]\n  1 -> 30 [size =\"34386944\"]\n  1 -> 32 [size =\"34386944\"]\n  1 -> 33 [size =\"34386944\"]\n  1 -> 34 [size =\"34386944\"]\n  2 [size=\"31889408\", alpha=\"0.10\", expect_size=\"15944704\"] \n  2 -> 25 [size =\"15944704\"]\n  2 -> 28 [size =\"15944704\"]\n  2 -> 29 [size =\"15944704\"]\n  2 -> 30 [size =\"15944704\"]\n  2 -> 31 [size =\"15944704\"]\n  2 -> 32 [size =\"15944704\"]\n  2 -> 34 [size =\"15944704\"]\n  3 [size=\"61282304\", alpha=\"0.10\", expect_size=\"30641152\"] \n  3 -> 28 [size =\"30641152\"]\n  3 -> 30 [size =\"30641152\"]\n  3 -> 31 [size =\"30641152\"]\n  3 -> 35 [size =\"30641152\"]\n  4 [size=\"85413888\", alpha=\"0.09\", expect_size=\"42706944\"] \n  4 -> 23 [size =\"42706944\"]\n  4 -> 28 [size =\"42706944\"]\n  4 -> 29 [size =\"42706944\"]\n  4 -> 30 [size =\"42706944\"]\n  4 -> 31 [size =\"42706944\"]\n  4 -> 32 [size =\"42706944\"]\n  4 -> 33 [size =\"42706944\"]\n  5 [size=\"49623040\", alpha=\"0.19\", expect_size=\"24811520\"] \n  5 -> 22 [size =\"24811520\"]\n  5 -> 25 [size =\"24811520\"]\n  5 -> 28 [size =\"24811520\"]\n  5 -> 29 [size =\"24811520\"]\n  5 -> 30 [size =\"24811520\"]\n  5 -> 31 [size =\"24811520\"]\n  5 -> 33 [size =\"24811520\"]\n  6 [size=\"22710272\", alpha=\"0.17\", expect_size=\"11355136\"] \n  6 -> 24 [size =\"11355136\"]\n  6 -> 28 [size =\"11355136\"]\n  6 -> 28 [size =\"11355136\"]\n  6 -> 29 [size =\"11355136\"]\n  6 -> 30 [size =\"11355136\"]\n  7 [size=\"20334592\", alpha=\"0.03\", expect_size=\"10167296\"] \n  7 -> 28 [size =\"10167296\"]\n  7 -> 29 [size =\"10167296\"]\n  7 -> 34 [size =\"10167296\"]\n  8 [size=\"70985728\", alpha=\"0.16\", expect_size=\"35492864\"] \n  8 -> 27 [size =\"35492864\"]\n  8 -> 28 [size =\"35492864\"]\n  8 -> 30 [size =\"35492864\"]\n  8 -> 32 [size =\"35492864\"]\n  8 -> 34 [size =\"35492864\"]\n  9 [size=\"59138048\", alpha=\"0.20\", expect_size=\"29569024\"] \n  9 -> 22 [size =\"29569024\"]\n  9 -> 24 [size =\"29569024\"]\n  9 -> 25 [size =\"29569024\"]\n  9 -> 28 [size =\"29569024\"]\n  9 -> 30 [size =\"29569024\"]\n  10 [size=\"70068224\", alpha=\"0.06\", expect_size=\"35034112\"] \n  10 -> 24 [size =\"35034112\"]\n  10 -> 27 [size =\"35034112\"]\n  10 -> 28 [size =\"35034112\"]\n  10 -> 28 [size =\"35034112\"]\n  10 -> 29 [size =\"35034112\"]\n  10 -> 30 [size =\"35034112\"]\n  10 -> 31 [size =\"35034112\"]\n  10 -> 32 [size =\"35034112\"]\n  11 [size=\"51634176\", alpha=\"0.13\", expect_size=\"25817088\"] \n  11 -> 24 [size =\"25817088\"]\n  11 -> 26 [size =\"25817088\"]\n  11 -> 27 [size =\"25817088\"]\n  11 -> 31 [size =\"25817088\"]\n  11 -> 32 [size =\"25817088\"]\n  11 -> 35 [size =\"25817088\"]\n  12 [size=\"15738880\", alpha=\"0.20\", expect_size=\"7869440\"] \n  12 -> 27 [size =\"7869440\"]\n  12 -> 31 [size =\"7869440\"]\n  12 -> 32 [size =\"7869440\"]\n  13 [size=\"61267968\", alpha=\"0.17\", expect_size=\"30633984\"] \n  13 -> 25 [size =\"30633984\"]\n  13 -> 28 [size =\"30633984\"]\n  13 -> 29 [size =\"30633984\"]\n  13 -> 30 [size =\"30633984\"]\n  13 -> 34 [size =\"30633984\"]\n  13 -> 35 [size =\"30633984\"]\n  14 [size=\"13299712\", alpha=\"0.19\", expect_size=\"6649856\"] \n  14 -> 22 [size =\"6649856\"]\n  14 -> 28 [size =\"6649856\"]\n  14 -> 33 [size =\"6649856\"]\n  14 -> 34 [size =\"6649856\"]\n  14 -> 35 [size =\"6649856\"]\n  15 [size=\"57487360\", alpha=\"0.12\", expect_size=\"28743680\"] \n  15 -> 24 [size =\"28743680\"]\n  15 -> 29 [size =\"28743680\"]\n  15 -> 32 [size =\"28743680\"]\n  15 -> 33 [size =\"28743680\"]\n  16 [size=\"51826688\", alpha=\"0.07\", expect_size=\"25913344\"] \n  16 -> 22 [size =\"25913344\"]\n  16 -> 28 [size =\"25913344\"]\n  16 -> 29 [size =\"25913344\"]\n  16 -> 30 [size =\"25913344\"]\n  16 -> 32 [size =\"25913344\"]\n  16 -> 34 [size =\"25913344\"]\n  16 -> 35 [size =\"25913344\"]\n  17 [size=\"39559168\", alpha=\"0.13\", expect_size=\"19779584\"] \n  17 -> 22 [size =\"19779584\"]\n  17 -> 24 [size =\"19779584\"]\n  17 -> 26 [size =\"19779584\"]\n  17 -> 27 [size =\"19779584\"]\n  17 -> 29 [size =\"19779584\"]\n  17 -> 30 [size =\"19779584\"]\n  17 -> 32 [size =\"19779584\"]\n  17 -> 33 [size =\"19779584\"]\n  17 -> 35 [size =\"19779584\"]\n  18 [size=\"52707328\", alpha=\"0.08\", expect_size=\"26353664\"] \n  18 -> 24 [size =\"26353664\"]\n  18 -> 30 [size =\"26353664\"]\n  18 -> 31 [size =\"26353664\"]\n  18 -> 32 [size =\"26353664\"]\n  18 -> 33 [size =\"26353664\"]\n  18 -> 34 [size =\"26353664\"]\n  18 -> 35 [size =\"26353664\"]\n  19 [size=\"35043328\", alpha=\"0.06\", expect_size=\"17521664\"] \n  19 -> 25 [size =\"17521664\"]\n  19 -> 30 [size =\"17521664\"]\n  19 -> 31 [size =\"17521664\"]\n  20 [size=\"33146880\", alpha=\"0.03\", expect_size=\"16573440\"] \n  20 -> 25 [size =\"16573440\"]\n  20 -> 27 [size =\"16573440\"]\n  20 -> 28 [size =\"16573440\"]\n  20 -> 30 [size =\"16573440\"]\n  20 -> 32 [size =\"16573440\"]\n  20 -> 35 [size =\"16573440\"]\n  21 [size=\"61382656\", alpha=\"0.12\", expect_size=\"30691328\"] \n  21 -> 29 [size =\"30691328\"]\n  21 -> 35 [size =\"30691328\"]\n  22 [size=\"29085696\", alpha=\"0.05\", expect_size=\"14542848\"] \n  23 [size=\"27826176\", alpha=\"0.10\", expect_size=\"13913088\"] \n  24 [size=\"12881920\", alpha=\"0.10\", expect_size=\"6440960\"] \n  25 [size=\"104452096\", alpha=\"0.18\", expect_size=\"52226048\"] \n  26 [size=\"66273280\", alpha=\"0.10\", expect_size=\"33136640\"] \n  27 [size=\"98662400\", alpha=\"0.03\", expect_size=\"49331200\"] \n  28 [size=\"66136064\", alpha=\"0.09\", expect_size=\"33068032\"] \n  29 [size=\"10512384\", alpha=\"0.05\", expect_size=\"5256192\"] \n  30 [size=\"38029312\", alpha=\"0.14\", expect_size=\"19014656\"] \n  31 [size=\"50036736\", alpha=\"0.12\", expect_size=\"25018368\"] \n  32 [size=\"104818688\", alpha=\"0.11\", expect_size=\"52409344\"] \n  33 [size=\"35041280\", alpha=\"0.00\", expect_size=\"17520640\"] \n  34 [size=\"80244736\", alpha=\"0.10\", expect_size=\"40122368\"] \n  35 [size=\"32243712\", alpha=\"0.10\", expect_size=\"16121856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50141867\", alpha=\"0.19\", expect_size=\"15042560\"] \n  1 -> 2 [size =\"15042560\"]\n  1 -> 3 [size =\"15042560\"]\n  2 [size=\"137666560\", alpha=\"0.15\", expect_size=\"41299968\"] \n  2 -> 4 [size =\"41299968\"]\n  3 [size=\"26695680\", alpha=\"0.08\", expect_size=\"8008704\"] \n  3 -> 4 [size =\"8008704\"]\n  4 [size=\"61521920\", alpha=\"0.07\", expect_size=\"18456576\"] \n  4 -> 5 [size =\"18456576\"]\n  4 -> 6 [size =\"18456576\"]\n  5 [size=\"87743147\", alpha=\"0.09\", expect_size=\"26322944\"] \n  5 -> 7 [size =\"26322944\"]\n  6 [size=\"32252587\", alpha=\"0.09\", expect_size=\"9675776\"] \n  6 -> 8 [size =\"9675776\"]\n  7 [size=\"129041067\", alpha=\"0.00\", expect_size=\"38712320\"] \n  7 -> 9 [size =\"38712320\"]\n  8 [size=\"33897813\", alpha=\"0.06\", expect_size=\"10169344\"] \n  9 [size=\"58231467\", alpha=\"0.00\", expect_size=\"17469440\"] \n  9 -> 10 [size =\"17469440\"]\n  9 -> 11 [size =\"17469440\"]\n  10 [size=\"96781653\", alpha=\"0.11\", expect_size=\"29034496\"] \n  10 -> 12 [size =\"29034496\"]\n  11 [size=\"156317013\", alpha=\"0.16\", expect_size=\"46895104\"] \n  12 [size=\"145189547\", alpha=\"0.19\", expect_size=\"43556864\"] \n  12 -> 13 [size =\"43556864\"]\n  12 -> 14 [size =\"43556864\"]\n  13 [size=\"106178560\", alpha=\"0.03\", expect_size=\"31853568\"] \n  13 -> 15 [size =\"31853568\"]\n  13 -> 16 [size =\"31853568\"]\n  14 [size=\"166140587\", alpha=\"0.07\", expect_size=\"49842176\"] \n  14 -> 16 [size =\"49842176\"]\n  15 [size=\"66573653\", alpha=\"0.01\", expect_size=\"19972096\"] \n  15 -> 17 [size =\"19972096\"]\n  16 [size=\"135321600\", alpha=\"0.06\", expect_size=\"40596480\"] \n  16 -> 17 [size =\"40596480\"]\n  17 [size=\"47988053\", alpha=\"0.00\", expect_size=\"14396416\"] \n  17 -> 18 [size =\"14396416\"]\n  17 -> 19 [size =\"14396416\"]\n  18 [size=\"50022400\", alpha=\"0.05\", expect_size=\"15006720\"] \n  18 -> 20 [size =\"15006720\"]\n  19 [size=\"99048107\", alpha=\"0.12\", expect_size=\"29714432\"] \n  19 -> 20 [size =\"29714432\"]\n  20 [size=\"99051520\", alpha=\"0.07\", expect_size=\"29715456\"] \n  20 -> 21 [size =\"29715456\"]\n  20 -> 22 [size =\"29715456\"]\n  21 [size=\"26446507\", alpha=\"0.06\", expect_size=\"7933952\"] \n  21 -> 23 [size =\"7933952\"]\n  22 [size=\"152579413\", alpha=\"0.01\", expect_size=\"45773824\"] \n  23 [size=\"145868800\", alpha=\"0.17\", expect_size=\"43760640\"] \n  23 -> 24 [size =\"43760640\"]\n  23 -> 25 [size =\"43760640\"]\n  24 [size=\"168949760\", alpha=\"0.19\", expect_size=\"50684928\"] \n  24 -> 26 [size =\"50684928\"]\n  25 [size=\"63972693\", alpha=\"0.09\", expect_size=\"19191808\"] \n  25 -> 26 [size =\"19191808\"]\n  26 [size=\"74437973\", alpha=\"0.01\", expect_size=\"22331392\"] \n  26 -> 27 [size =\"22331392\"]\n  27 [size=\"125006507\", alpha=\"0.08\", expect_size=\"37501952\"] \n  27 -> 28 [size =\"37501952\"]\n  28 [size=\"125631147\", alpha=\"0.17\", expect_size=\"37689344\"] \n  28 -> 29 [size =\"37689344\"]\n  28 -> 30 [size =\"37689344\"]\n  29 [size=\"161232213\", alpha=\"0.10\", expect_size=\"48369664\"] \n  29 -> 31 [size =\"48369664\"]\n  30 [size=\"94836053\", alpha=\"0.14\", expect_size=\"28450816\"] \n  31 [size=\"148954453\", alpha=\"0.16\", expect_size=\"44686336\"] \n  31 -> 32 [size =\"44686336\"]\n  32 [size=\"41683627\", alpha=\"0.14\", expect_size=\"12505088\"] \n  32 -> 33 [size =\"12505088\"]\n  32 -> 34 [size =\"12505088\"]\n  33 [size=\"50507093\", alpha=\"0.03\", expect_size=\"15152128\"] \n  34 [size=\"27357867\", alpha=\"0.11\", expect_size=\"8207360\"] \n  34 -> 35 [size =\"8207360\"]\n  35 [size=\"173568000\", alpha=\"0.05\", expect_size=\"52070400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93662720\", alpha=\"0.10\", expect_size=\"37465088\"] \n  1 -> 2 [size =\"37465088\"]\n  2 [size=\"53368320\", alpha=\"0.04\", expect_size=\"21347328\"] \n  2 -> 3 [size =\"21347328\"]\n  3 [size=\"115253760\", alpha=\"0.08\", expect_size=\"46101504\"] \n  3 -> 4 [size =\"46101504\"]\n  4 [size=\"76257280\", alpha=\"0.08\", expect_size=\"30502912\"] \n  4 -> 5 [size =\"30502912\"]\n  5 [size=\"36085760\", alpha=\"0.08\", expect_size=\"14434304\"] \n  5 -> 6 [size =\"14434304\"]\n  6 [size=\"96156160\", alpha=\"0.08\", expect_size=\"38462464\"] \n  6 -> 7 [size =\"38462464\"]\n  7 [size=\"30220800\", alpha=\"0.12\", expect_size=\"12088320\"] \n  7 -> 8 [size =\"12088320\"]\n  8 [size=\"115043840\", alpha=\"0.15\", expect_size=\"46017536\"] \n  8 -> 9 [size =\"46017536\"]\n  9 [size=\"36874240\", alpha=\"0.01\", expect_size=\"14749696\"] \n  9 -> 10 [size =\"14749696\"]\n  10 [size=\"47267840\", alpha=\"0.03\", expect_size=\"18907136\"] \n  10 -> 11 [size =\"18907136\"]\n  11 [size=\"14812160\", alpha=\"0.18\", expect_size=\"5924864\"] \n  11 -> 12 [size =\"5924864\"]\n  12 [size=\"73251840\", alpha=\"0.08\", expect_size=\"29300736\"] \n  12 -> 13 [size =\"29300736\"]\n  13 [size=\"95237120\", alpha=\"0.06\", expect_size=\"38094848\"] \n  13 -> 14 [size =\"38094848\"]\n  14 [size=\"26498560\", alpha=\"0.02\", expect_size=\"10599424\"] \n  14 -> 15 [size =\"10599424\"]\n  15 [size=\"71057920\", alpha=\"0.02\", expect_size=\"28423168\"] \n  15 -> 16 [size =\"28423168\"]\n  16 [size=\"117652480\", alpha=\"0.20\", expect_size=\"47060992\"] \n  16 -> 17 [size =\"47060992\"]\n  17 [size=\"49282560\", alpha=\"0.10\", expect_size=\"19713024\"] \n  17 -> 18 [size =\"19713024\"]\n  18 [size=\"118896640\", alpha=\"0.07\", expect_size=\"47558656\"] \n  18 -> 19 [size =\"47558656\"]\n  19 [size=\"89249280\", alpha=\"0.01\", expect_size=\"35699712\"] \n  19 -> 20 [size =\"35699712\"]\n  20 [size=\"94361600\", alpha=\"0.12\", expect_size=\"37744640\"] \n  20 -> 21 [size =\"37744640\"]\n  21 [size=\"113850880\", alpha=\"0.17\", expect_size=\"45540352\"] \n  21 -> 22 [size =\"45540352\"]\n  22 [size=\"101568000\", alpha=\"0.08\", expect_size=\"40627200\"] \n  22 -> 23 [size =\"40627200\"]\n  23 [size=\"29027840\", alpha=\"0.17\", expect_size=\"11611136\"] \n  23 -> 24 [size =\"11611136\"]\n  24 [size=\"66027520\", alpha=\"0.17\", expect_size=\"26411008\"] \n  24 -> 25 [size =\"26411008\"]\n  25 [size=\"80232960\", alpha=\"0.00\", expect_size=\"32093184\"] \n  25 -> 26 [size =\"32093184\"]\n  26 [size=\"93214720\", alpha=\"0.18\", expect_size=\"37285888\"] \n  26 -> 27 [size =\"37285888\"]\n  27 [size=\"91873280\", alpha=\"0.18\", expect_size=\"36749312\"] \n  27 -> 28 [size =\"36749312\"]\n  28 [size=\"31290880\", alpha=\"0.16\", expect_size=\"12516352\"] \n  28 -> 29 [size =\"12516352\"]\n  29 [size=\"70310400\", alpha=\"0.17\", expect_size=\"28124160\"] \n  29 -> 30 [size =\"28124160\"]\n  30 [size=\"76382720\", alpha=\"0.05\", expect_size=\"30553088\"] \n  30 -> 31 [size =\"30553088\"]\n  31 [size=\"29511680\", alpha=\"0.13\", expect_size=\"11804672\"] \n  31 -> 32 [size =\"11804672\"]\n  32 [size=\"128225280\", alpha=\"0.11\", expect_size=\"51290112\"] \n  32 -> 33 [size =\"51290112\"]\n  33 [size=\"58885120\", alpha=\"0.03\", expect_size=\"23554048\"] \n  33 -> 34 [size =\"23554048\"]\n  34 [size=\"41607680\", alpha=\"0.17\", expect_size=\"16643072\"] \n  34 -> 35 [size =\"16643072\"]\n  35 [size=\"21575680\", alpha=\"0.01\", expect_size=\"8630272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93168640\", alpha=\"0.08\", expect_size=\"37267456\"] \n  1 -> 3 [size =\"37267456\"]\n  2 [size=\"116229120\", alpha=\"0.16\", expect_size=\"46491648\"] \n  2 -> 4 [size =\"46491648\"]\n  3 [size=\"99212800\", alpha=\"0.18\", expect_size=\"39685120\"] \n  3 -> 5 [size =\"39685120\"]\n  4 [size=\"119311360\", alpha=\"0.18\", expect_size=\"47724544\"] \n  5 [size=\"88768000\", alpha=\"0.01\", expect_size=\"35507200\"] \n  5 -> 6 [size =\"35507200\"]\n  6 [size=\"110622720\", alpha=\"0.06\", expect_size=\"44249088\"] \n  6 -> 7 [size =\"44249088\"]\n  7 [size=\"95400960\", alpha=\"0.12\", expect_size=\"38160384\"] \n  7 -> 8 [size =\"38160384\"]\n  7 -> 9 [size =\"38160384\"]\n  8 [size=\"19765760\", alpha=\"0.02\", expect_size=\"7906304\"] \n  8 -> 11 [size =\"7906304\"]\n  9 [size=\"89894400\", alpha=\"0.01\", expect_size=\"35957760\"] \n  9 -> 10 [size =\"35957760\"]\n  10 [size=\"63713280\", alpha=\"0.02\", expect_size=\"25485312\"] \n  11 [size=\"59358720\", alpha=\"0.09\", expect_size=\"23743488\"] \n  11 -> 12 [size =\"23743488\"]\n  12 [size=\"104294400\", alpha=\"0.05\", expect_size=\"41717760\"] \n  12 -> 13 [size =\"41717760\"]\n  13 [size=\"83522560\", alpha=\"0.13\", expect_size=\"33409024\"] \n  13 -> 14 [size =\"33409024\"]\n  14 [size=\"72934400\", alpha=\"0.05\", expect_size=\"29173760\"] \n  14 -> 15 [size =\"29173760\"]\n  15 [size=\"61470720\", alpha=\"0.06\", expect_size=\"24588288\"] \n  15 -> 16 [size =\"24588288\"]\n  16 [size=\"66234880\", alpha=\"0.14\", expect_size=\"26493952\"] \n  16 -> 17 [size =\"26493952\"]\n  16 -> 18 [size =\"26493952\"]\n  17 [size=\"101424640\", alpha=\"0.15\", expect_size=\"40569856\"] \n  17 -> 19 [size =\"40569856\"]\n  18 [size=\"57126400\", alpha=\"0.17\", expect_size=\"22850560\"] \n  18 -> 20 [size =\"22850560\"]\n  19 [size=\"68531200\", alpha=\"0.17\", expect_size=\"27412480\"] \n  19 -> 21 [size =\"27412480\"]\n  20 [size=\"75537920\", alpha=\"0.20\", expect_size=\"30215168\"] \n  21 [size=\"89454080\", alpha=\"0.16\", expect_size=\"35781632\"] \n  21 -> 22 [size =\"35781632\"]\n  22 [size=\"21708800\", alpha=\"0.09\", expect_size=\"8683520\"] \n  22 -> 23 [size =\"8683520\"]\n  23 [size=\"48253440\", alpha=\"0.18\", expect_size=\"19301376\"] \n  23 -> 24 [size =\"19301376\"]\n  24 [size=\"126100480\", alpha=\"0.04\", expect_size=\"50440192\"] \n  24 -> 25 [size =\"50440192\"]\n  24 -> 26 [size =\"50440192\"]\n  25 [size=\"38522880\", alpha=\"0.03\", expect_size=\"15409152\"] \n  25 -> 27 [size =\"15409152\"]\n  25 -> 28 [size =\"15409152\"]\n  26 [size=\"76620800\", alpha=\"0.18\", expect_size=\"30648320\"] \n  27 [size=\"38430720\", alpha=\"0.08\", expect_size=\"15372288\"] \n  27 -> 29 [size =\"15372288\"]\n  27 -> 30 [size =\"15372288\"]\n  28 [size=\"125578240\", alpha=\"0.18\", expect_size=\"50231296\"] \n  29 [size=\"110671360\", alpha=\"0.02\", expect_size=\"44268544\"] \n  29 -> 32 [size =\"44268544\"]\n  30 [size=\"95272960\", alpha=\"0.14\", expect_size=\"38109184\"] \n  30 -> 31 [size =\"38109184\"]\n  31 [size=\"94433280\", alpha=\"0.14\", expect_size=\"37773312\"] \n  31 -> 33 [size =\"37773312\"]\n  32 [size=\"70248960\", alpha=\"0.09\", expect_size=\"28099584\"] \n  33 [size=\"125844480\", alpha=\"0.17\", expect_size=\"50337792\"] \n  33 -> 34 [size =\"50337792\"]\n  34 [size=\"111393280\", alpha=\"0.14\", expect_size=\"44557312\"] \n  34 -> 35 [size =\"44557312\"]\n  35 [size=\"15142400\", alpha=\"0.00\", expect_size=\"6056960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139567787\", alpha=\"0.01\", expect_size=\"41870336\"] \n  1 -> 15 [size =\"41870336\"]\n  1 -> 17 [size =\"41870336\"]\n  1 -> 21 [size =\"41870336\"]\n  2 [size=\"173445120\", alpha=\"0.17\", expect_size=\"52033536\"] \n  2 -> 18 [size =\"52033536\"]\n  3 [size=\"73960107\", alpha=\"0.15\", expect_size=\"22188032\"] \n  3 -> 19 [size =\"22188032\"]\n  4 [size=\"22521173\", alpha=\"0.07\", expect_size=\"6756352\"] \n  4 -> 12 [size =\"6756352\"]\n  4 -> 15 [size =\"6756352\"]\n  4 -> 16 [size =\"6756352\"]\n  4 -> 18 [size =\"6756352\"]\n  5 [size=\"76909227\", alpha=\"0.04\", expect_size=\"23072768\"] \n  5 -> 14 [size =\"23072768\"]\n  5 -> 15 [size =\"23072768\"]\n  5 -> 20 [size =\"23072768\"]\n  6 [size=\"159269547\", alpha=\"0.01\", expect_size=\"47780864\"] \n  6 -> 13 [size =\"47780864\"]\n  6 -> 14 [size =\"47780864\"]\n  6 -> 15 [size =\"47780864\"]\n  6 -> 17 [size =\"47780864\"]\n  6 -> 19 [size =\"47780864\"]\n  6 -> 20 [size =\"47780864\"]\n  7 [size=\"38123520\", alpha=\"0.17\", expect_size=\"11437056\"] \n  7 -> 12 [size =\"11437056\"]\n  7 -> 14 [size =\"11437056\"]\n  7 -> 17 [size =\"11437056\"]\n  7 -> 20 [size =\"11437056\"]\n  8 [size=\"37249707\", alpha=\"0.15\", expect_size=\"11174912\"] \n  8 -> 12 [size =\"11174912\"]\n  8 -> 13 [size =\"11174912\"]\n  8 -> 14 [size =\"11174912\"]\n  8 -> 16 [size =\"11174912\"]\n  8 -> 17 [size =\"11174912\"]\n  8 -> 18 [size =\"11174912\"]\n  8 -> 19 [size =\"11174912\"]\n  8 -> 21 [size =\"11174912\"]\n  9 [size=\"103311360\", alpha=\"0.10\", expect_size=\"30993408\"] \n  9 -> 12 [size =\"30993408\"]\n  9 -> 15 [size =\"30993408\"]\n  9 -> 16 [size =\"30993408\"]\n  10 [size=\"20944213\", alpha=\"0.16\", expect_size=\"6283264\"] \n  10 -> 14 [size =\"6283264\"]\n  10 -> 16 [size =\"6283264\"]\n  10 -> 19 [size =\"6283264\"]\n  10 -> 21 [size =\"6283264\"]\n  11 [size=\"167458133\", alpha=\"0.00\", expect_size=\"50237440\"] \n  11 -> 12 [size =\"50237440\"]\n  11 -> 13 [size =\"50237440\"]\n  11 -> 18 [size =\"50237440\"]\n  11 -> 19 [size =\"50237440\"]\n  12 [size=\"17923413\", alpha=\"0.05\", expect_size=\"5377024\"] \n  12 -> 34 [size =\"5377024\"]\n  12 -> 35 [size =\"5377024\"]\n  13 [size=\"154477227\", alpha=\"0.06\", expect_size=\"46343168\"] \n  13 -> 23 [size =\"46343168\"]\n  13 -> 24 [size =\"46343168\"]\n  13 -> 27 [size =\"46343168\"]\n  13 -> 31 [size =\"46343168\"]\n  13 -> 33 [size =\"46343168\"]\n  14 [size=\"116988587\", alpha=\"0.01\", expect_size=\"35096576\"] \n  14 -> 22 [size =\"35096576\"]\n  14 -> 23 [size =\"35096576\"]\n  14 -> 28 [size =\"35096576\"]\n  14 -> 35 [size =\"35096576\"]\n  15 [size=\"173574827\", alpha=\"0.12\", expect_size=\"52072448\"] \n  15 -> 23 [size =\"52072448\"]\n  15 -> 29 [size =\"52072448\"]\n  15 -> 31 [size =\"52072448\"]\n  15 -> 35 [size =\"52072448\"]\n  16 [size=\"49233920\", alpha=\"0.08\", expect_size=\"14770176\"] \n  16 -> 22 [size =\"14770176\"]\n  16 -> 25 [size =\"14770176\"]\n  16 -> 26 [size =\"14770176\"]\n  16 -> 28 [size =\"14770176\"]\n  16 -> 29 [size =\"14770176\"]\n  16 -> 32 [size =\"14770176\"]\n  17 [size=\"54196907\", alpha=\"0.05\", expect_size=\"16259072\"] \n  17 -> 23 [size =\"16259072\"]\n  17 -> 24 [size =\"16259072\"]\n  17 -> 26 [size =\"16259072\"]\n  17 -> 28 [size =\"16259072\"]\n  17 -> 32 [size =\"16259072\"]\n  17 -> 33 [size =\"16259072\"]\n  18 [size=\"32034133\", alpha=\"0.09\", expect_size=\"9610240\"] \n  18 -> 31 [size =\"9610240\"]\n  18 -> 33 [size =\"9610240\"]\n  19 [size=\"152104960\", alpha=\"0.19\", expect_size=\"45631488\"] \n  19 -> 22 [size =\"45631488\"]\n  19 -> 24 [size =\"45631488\"]\n  19 -> 30 [size =\"45631488\"]\n  19 -> 31 [size =\"45631488\"]\n  19 -> 35 [size =\"45631488\"]\n  20 [size=\"73625600\", alpha=\"0.19\", expect_size=\"22087680\"] \n  20 -> 22 [size =\"22087680\"]\n  20 -> 27 [size =\"22087680\"]\n  20 -> 28 [size =\"22087680\"]\n  20 -> 30 [size =\"22087680\"]\n  21 [size=\"39181653\", alpha=\"0.14\", expect_size=\"11754496\"] \n  21 -> 26 [size =\"11754496\"]\n  21 -> 31 [size =\"11754496\"]\n  22 [size=\"39338667\", alpha=\"0.09\", expect_size=\"11801600\"] \n  23 [size=\"78496427\", alpha=\"0.12\", expect_size=\"23548928\"] \n  24 [size=\"124412587\", alpha=\"0.15\", expect_size=\"37323776\"] \n  25 [size=\"134516053\", alpha=\"0.05\", expect_size=\"40354816\"] \n  26 [size=\"69413547\", alpha=\"0.14\", expect_size=\"20824064\"] \n  27 [size=\"135168000\", alpha=\"0.05\", expect_size=\"40550400\"] \n  28 [size=\"19336533\", alpha=\"0.18\", expect_size=\"5800960\"] \n  29 [size=\"88507733\", alpha=\"0.03\", expect_size=\"26552320\"] \n  30 [size=\"82264747\", alpha=\"0.08\", expect_size=\"24679424\"] \n  31 [size=\"74055680\", alpha=\"0.12\", expect_size=\"22216704\"] \n  32 [size=\"28689067\", alpha=\"0.16\", expect_size=\"8606720\"] \n  33 [size=\"102126933\", alpha=\"0.18\", expect_size=\"30638080\"] \n  34 [size=\"36287147\", alpha=\"0.12\", expect_size=\"10886144\"] \n  35 [size=\"150787413\", alpha=\"0.06\", expect_size=\"45236224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20630187\", alpha=\"0.11\", expect_size=\"6189056\"] \n  1 -> 15 [size =\"6189056\"]\n  2 [size=\"38027947\", alpha=\"0.02\", expect_size=\"11408384\"] \n  2 -> 18 [size =\"11408384\"]\n  2 -> 19 [size =\"11408384\"]\n  3 [size=\"28255573\", alpha=\"0.05\", expect_size=\"8476672\"] \n  3 -> 16 [size =\"8476672\"]\n  4 [size=\"162850133\", alpha=\"0.15\", expect_size=\"48855040\"] \n  4 -> 16 [size =\"48855040\"]\n  4 -> 20 [size =\"48855040\"]\n  5 [size=\"105984000\", alpha=\"0.20\", expect_size=\"31795200\"] \n  5 -> 16 [size =\"31795200\"]\n  5 -> 18 [size =\"31795200\"]\n  5 -> 22 [size =\"31795200\"]\n  6 [size=\"66662400\", alpha=\"0.01\", expect_size=\"19998720\"] \n  6 -> 13 [size =\"19998720\"]\n  6 -> 18 [size =\"19998720\"]\n  7 [size=\"166632107\", alpha=\"0.16\", expect_size=\"49989632\"] \n  7 -> 18 [size =\"49989632\"]\n  7 -> 22 [size =\"49989632\"]\n  8 [size=\"34355200\", alpha=\"0.02\", expect_size=\"10306560\"] \n  8 -> 19 [size =\"10306560\"]\n  8 -> 21 [size =\"10306560\"]\n  9 [size=\"141711360\", alpha=\"0.17\", expect_size=\"42513408\"] \n  9 -> 14 [size =\"42513408\"]\n  9 -> 20 [size =\"42513408\"]\n  10 [size=\"69399893\", alpha=\"0.14\", expect_size=\"20819968\"] \n  10 -> 16 [size =\"20819968\"]\n  10 -> 17 [size =\"20819968\"]\n  10 -> 22 [size =\"20819968\"]\n  11 [size=\"27610453\", alpha=\"0.08\", expect_size=\"8283136\"] \n  11 -> 13 [size =\"8283136\"]\n  11 -> 16 [size =\"8283136\"]\n  11 -> 21 [size =\"8283136\"]\n  11 -> 22 [size =\"8283136\"]\n  12 [size=\"117565440\", alpha=\"0.04\", expect_size=\"35269632\"] \n  12 -> 16 [size =\"35269632\"]\n  12 -> 19 [size =\"35269632\"]\n  13 [size=\"134826667\", alpha=\"0.09\", expect_size=\"40448000\"] \n  13 -> 26 [size =\"40448000\"]\n  13 -> 28 [size =\"40448000\"]\n  13 -> 30 [size =\"40448000\"]\n  13 -> 31 [size =\"40448000\"]\n  14 [size=\"171301547\", alpha=\"0.05\", expect_size=\"51390464\"] \n  14 -> 26 [size =\"51390464\"]\n  14 -> 27 [size =\"51390464\"]\n  14 -> 29 [size =\"51390464\"]\n  15 [size=\"132263253\", alpha=\"0.15\", expect_size=\"39678976\"] \n  15 -> 23 [size =\"39678976\"]\n  15 -> 26 [size =\"39678976\"]\n  16 [size=\"128372053\", alpha=\"0.10\", expect_size=\"38511616\"] \n  16 -> 24 [size =\"38511616\"]\n  16 -> 26 [size =\"38511616\"]\n  16 -> 27 [size =\"38511616\"]\n  16 -> 28 [size =\"38511616\"]\n  16 -> 33 [size =\"38511616\"]\n  16 -> 34 [size =\"38511616\"]\n  17 [size=\"134181547\", alpha=\"0.09\", expect_size=\"40254464\"] \n  17 -> 27 [size =\"40254464\"]\n  17 -> 28 [size =\"40254464\"]\n  17 -> 29 [size =\"40254464\"]\n  17 -> 31 [size =\"40254464\"]\n  17 -> 33 [size =\"40254464\"]\n  17 -> 34 [size =\"40254464\"]\n  18 [size=\"103680000\", alpha=\"0.17\", expect_size=\"31104000\"] \n  18 -> 23 [size =\"31104000\"]\n  18 -> 27 [size =\"31104000\"]\n  18 -> 28 [size =\"31104000\"]\n  18 -> 29 [size =\"31104000\"]\n  18 -> 31 [size =\"31104000\"]\n  19 [size=\"122886827\", alpha=\"0.16\", expect_size=\"36866048\"] \n  19 -> 27 [size =\"36866048\"]\n  19 -> 29 [size =\"36866048\"]\n  20 [size=\"100546560\", alpha=\"0.15\", expect_size=\"30163968\"] \n  20 -> 23 [size =\"30163968\"]\n  20 -> 25 [size =\"30163968\"]\n  20 -> 26 [size =\"30163968\"]\n  20 -> 28 [size =\"30163968\"]\n  21 [size=\"52558507\", alpha=\"0.14\", expect_size=\"15767552\"] \n  21 -> 23 [size =\"15767552\"]\n  21 -> 24 [size =\"15767552\"]\n  21 -> 27 [size =\"15767552\"]\n  21 -> 31 [size =\"15767552\"]\n  22 [size=\"116053333\", alpha=\"0.16\", expect_size=\"34816000\"] \n  22 -> 26 [size =\"34816000\"]\n  22 -> 29 [size =\"34816000\"]\n  22 -> 32 [size =\"34816000\"]\n  23 [size=\"145134933\", alpha=\"0.19\", expect_size=\"43540480\"] \n  24 [size=\"55200427\", alpha=\"0.01\", expect_size=\"16560128\"] \n  25 [size=\"95788373\", alpha=\"0.14\", expect_size=\"28736512\"] \n  26 [size=\"57231360\", alpha=\"0.14\", expect_size=\"17169408\"] \n  27 [size=\"135413760\", alpha=\"0.12\", expect_size=\"40624128\"] \n  28 [size=\"50810880\", alpha=\"0.13\", expect_size=\"15243264\"] \n  29 [size=\"26603520\", alpha=\"0.09\", expect_size=\"7981056\"] \n  30 [size=\"149053440\", alpha=\"0.12\", expect_size=\"44716032\"] \n  30 -> 35 [size =\"44716032\"]\n  31 [size=\"106342400\", alpha=\"0.16\", expect_size=\"31902720\"] \n  32 [size=\"58903893\", alpha=\"0.13\", expect_size=\"17671168\"] \n  33 [size=\"27289600\", alpha=\"0.05\", expect_size=\"8186880\"] \n  34 [size=\"22285653\", alpha=\"0.16\", expect_size=\"6685696\"] \n  35 [size=\"31976107\", alpha=\"0.02\", expect_size=\"9592832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81340416\", alpha=\"0.17\", expect_size=\"40670208\"] \n  1 -> 26 [size =\"40670208\"]\n  1 -> 27 [size =\"40670208\"]\n  1 -> 29 [size =\"40670208\"]\n  1 -> 30 [size =\"40670208\"]\n  1 -> 32 [size =\"40670208\"]\n  1 -> 33 [size =\"40670208\"]\n  2 [size=\"46194688\", alpha=\"0.10\", expect_size=\"23097344\"] \n  2 -> 27 [size =\"23097344\"]\n  2 -> 32 [size =\"23097344\"]\n  2 -> 33 [size =\"23097344\"]\n  2 -> 34 [size =\"23097344\"]\n  2 -> 35 [size =\"23097344\"]\n  3 [size=\"29947904\", alpha=\"0.12\", expect_size=\"14973952\"] \n  3 -> 27 [size =\"14973952\"]\n  3 -> 28 [size =\"14973952\"]\n  3 -> 31 [size =\"14973952\"]\n  3 -> 32 [size =\"14973952\"]\n  3 -> 33 [size =\"14973952\"]\n  4 [size=\"33069056\", alpha=\"0.02\", expect_size=\"16534528\"] \n  4 -> 28 [size =\"16534528\"]\n  4 -> 30 [size =\"16534528\"]\n  4 -> 31 [size =\"16534528\"]\n  5 [size=\"87597056\", alpha=\"0.12\", expect_size=\"43798528\"] \n  5 -> 29 [size =\"43798528\"]\n  5 -> 30 [size =\"43798528\"]\n  6 [size=\"86411264\", alpha=\"0.06\", expect_size=\"43205632\"] \n  6 -> 25 [size =\"43205632\"]\n  6 -> 27 [size =\"43205632\"]\n  6 -> 30 [size =\"43205632\"]\n  6 -> 32 [size =\"43205632\"]\n  6 -> 33 [size =\"43205632\"]\n  6 -> 35 [size =\"43205632\"]\n  7 [size=\"102715392\", alpha=\"0.12\", expect_size=\"51357696\"] \n  7 -> 26 [size =\"51357696\"]\n  7 -> 27 [size =\"51357696\"]\n  7 -> 28 [size =\"51357696\"]\n  7 -> 30 [size =\"51357696\"]\n  7 -> 32 [size =\"51357696\"]\n  7 -> 33 [size =\"51357696\"]\n  7 -> 35 [size =\"51357696\"]\n  8 [size=\"67108864\", alpha=\"0.11\", expect_size=\"33554432\"] \n  8 -> 30 [size =\"33554432\"]\n  8 -> 32 [size =\"33554432\"]\n  8 -> 34 [size =\"33554432\"]\n  8 -> 35 [size =\"33554432\"]\n  9 [size=\"14192640\", alpha=\"0.02\", expect_size=\"7096320\"] \n  9 -> 25 [size =\"7096320\"]\n  9 -> 27 [size =\"7096320\"]\n  9 -> 30 [size =\"7096320\"]\n  9 -> 32 [size =\"7096320\"]\n  9 -> 33 [size =\"7096320\"]\n  9 -> 35 [size =\"7096320\"]\n  10 [size=\"95907840\", alpha=\"0.14\", expect_size=\"47953920\"] \n  10 -> 30 [size =\"47953920\"]\n  10 -> 32 [size =\"47953920\"]\n  10 -> 35 [size =\"47953920\"]\n  11 [size=\"26347520\", alpha=\"0.08\", expect_size=\"13173760\"] \n  11 -> 27 [size =\"13173760\"]\n  11 -> 30 [size =\"13173760\"]\n  11 -> 32 [size =\"13173760\"]\n  12 [size=\"104636416\", alpha=\"0.12\", expect_size=\"52318208\"] \n  12 -> 26 [size =\"52318208\"]\n  12 -> 27 [size =\"52318208\"]\n  12 -> 35 [size =\"52318208\"]\n  13 [size=\"59774976\", alpha=\"0.19\", expect_size=\"29887488\"] \n  13 -> 27 [size =\"29887488\"]\n  13 -> 28 [size =\"29887488\"]\n  13 -> 35 [size =\"29887488\"]\n  14 [size=\"22736896\", alpha=\"0.18\", expect_size=\"11368448\"] \n  14 -> 26 [size =\"11368448\"]\n  14 -> 29 [size =\"11368448\"]\n  14 -> 31 [size =\"11368448\"]\n  14 -> 34 [size =\"11368448\"]\n  15 [size=\"31440896\", alpha=\"0.01\", expect_size=\"15720448\"] \n  15 -> 25 [size =\"15720448\"]\n  15 -> 26 [size =\"15720448\"]\n  15 -> 28 [size =\"15720448\"]\n  15 -> 32 [size =\"15720448\"]\n  15 -> 33 [size =\"15720448\"]\n  15 -> 34 [size =\"15720448\"]\n  16 [size=\"90200064\", alpha=\"0.02\", expect_size=\"45100032\"] \n  16 -> 25 [size =\"45100032\"]\n  16 -> 29 [size =\"45100032\"]\n  16 -> 30 [size =\"45100032\"]\n  16 -> 32 [size =\"45100032\"]\n  17 [size=\"25671680\", alpha=\"0.02\", expect_size=\"12835840\"] \n  17 -> 26 [size =\"12835840\"]\n  17 -> 27 [size =\"12835840\"]\n  17 -> 29 [size =\"12835840\"]\n  17 -> 30 [size =\"12835840\"]\n  17 -> 32 [size =\"12835840\"]\n  18 [size=\"80232448\", alpha=\"0.12\", expect_size=\"40116224\"] \n  18 -> 25 [size =\"40116224\"]\n  18 -> 26 [size =\"40116224\"]\n  18 -> 28 [size =\"40116224\"]\n  18 -> 30 [size =\"40116224\"]\n  18 -> 33 [size =\"40116224\"]\n  19 [size=\"39718912\", alpha=\"0.17\", expect_size=\"19859456\"] \n  19 -> 26 [size =\"19859456\"]\n  19 -> 28 [size =\"19859456\"]\n  19 -> 29 [size =\"19859456\"]\n  19 -> 30 [size =\"19859456\"]\n  19 -> 32 [size =\"19859456\"]\n  19 -> 35 [size =\"19859456\"]\n  20 [size=\"48934912\", alpha=\"0.01\", expect_size=\"24467456\"] \n  20 -> 25 [size =\"24467456\"]\n  20 -> 26 [size =\"24467456\"]\n  20 -> 28 [size =\"24467456\"]\n  20 -> 30 [size =\"24467456\"]\n  20 -> 33 [size =\"24467456\"]\n  20 -> 35 [size =\"24467456\"]\n  21 [size=\"22378496\", alpha=\"0.01\", expect_size=\"11189248\"] \n  21 -> 26 [size =\"11189248\"]\n  21 -> 27 [size =\"11189248\"]\n  21 -> 34 [size =\"11189248\"]\n  21 -> 35 [size =\"11189248\"]\n  22 [size=\"61990912\", alpha=\"0.09\", expect_size=\"30995456\"] \n  22 -> 26 [size =\"30995456\"]\n  22 -> 27 [size =\"30995456\"]\n  22 -> 28 [size =\"30995456\"]\n  22 -> 31 [size =\"30995456\"]\n  22 -> 33 [size =\"30995456\"]\n  23 [size=\"22587392\", alpha=\"0.00\", expect_size=\"11293696\"] \n  23 -> 25 [size =\"11293696\"]\n  23 -> 27 [size =\"11293696\"]\n  23 -> 29 [size =\"11293696\"]\n  23 -> 30 [size =\"11293696\"]\n  23 -> 32 [size =\"11293696\"]\n  23 -> 33 [size =\"11293696\"]\n  23 -> 35 [size =\"11293696\"]\n  24 [size=\"18376704\", alpha=\"0.16\", expect_size=\"9188352\"] \n  24 -> 27 [size =\"9188352\"]\n  24 -> 27 [size =\"9188352\"]\n  24 -> 32 [size =\"9188352\"]\n  24 -> 33 [size =\"9188352\"]\n  25 [size=\"103510016\", alpha=\"0.09\", expect_size=\"51755008\"] \n  26 [size=\"13453312\", alpha=\"0.18\", expect_size=\"6726656\"] \n  27 [size=\"24410112\", alpha=\"0.06\", expect_size=\"12205056\"] \n  28 [size=\"32358400\", alpha=\"0.06\", expect_size=\"16179200\"] \n  29 [size=\"89090048\", alpha=\"0.07\", expect_size=\"44545024\"] \n  30 [size=\"73617408\", alpha=\"0.06\", expect_size=\"36808704\"] \n  31 [size=\"80541696\", alpha=\"0.09\", expect_size=\"40270848\"] \n  32 [size=\"86345728\", alpha=\"0.11\", expect_size=\"43172864\"] \n  33 [size=\"32370688\", alpha=\"0.04\", expect_size=\"16185344\"] \n  34 [size=\"32450560\", alpha=\"0.19\", expect_size=\"16225280\"] \n  35 [size=\"14796800\", alpha=\"0.19\", expect_size=\"7398400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87463936\", alpha=\"0.02\", expect_size=\"43731968\"] \n  1 -> 9 [size =\"43731968\"]\n  2 [size=\"16265216\", alpha=\"0.04\", expect_size=\"8132608\"] \n  2 -> 7 [size =\"8132608\"]\n  2 -> 9 [size =\"8132608\"]\n  2 -> 10 [size =\"8132608\"]\n  3 [size=\"38608896\", alpha=\"0.10\", expect_size=\"19304448\"] \n  3 -> 7 [size =\"19304448\"]\n  3 -> 10 [size =\"19304448\"]\n  4 [size=\"41644032\", alpha=\"0.13\", expect_size=\"20822016\"] \n  4 -> 6 [size =\"20822016\"]\n  5 [size=\"68837376\", alpha=\"0.19\", expect_size=\"34418688\"] \n  5 -> 6 [size =\"34418688\"]\n  5 -> 8 [size =\"34418688\"]\n  6 [size=\"42334208\", alpha=\"0.10\", expect_size=\"21167104\"] \n  6 -> 11 [size =\"21167104\"]\n  6 -> 14 [size =\"21167104\"]\n  6 -> 15 [size =\"21167104\"]\n  7 [size=\"53202944\", alpha=\"0.05\", expect_size=\"26601472\"] \n  7 -> 12 [size =\"26601472\"]\n  7 -> 13 [size =\"26601472\"]\n  8 [size=\"60020736\", alpha=\"0.02\", expect_size=\"30010368\"] \n  8 -> 12 [size =\"30010368\"]\n  8 -> 13 [size =\"30010368\"]\n  9 [size=\"21022720\", alpha=\"0.19\", expect_size=\"10511360\"] \n  9 -> 13 [size =\"10511360\"]\n  9 -> 14 [size =\"10511360\"]\n  9 -> 15 [size =\"10511360\"]\n  10 [size=\"39395328\", alpha=\"0.16\", expect_size=\"19697664\"] \n  10 -> 11 [size =\"19697664\"]\n  10 -> 12 [size =\"19697664\"]\n  10 -> 14 [size =\"19697664\"]\n  11 [size=\"49866752\", alpha=\"0.17\", expect_size=\"24933376\"] \n  11 -> 19 [size =\"24933376\"]\n  12 [size=\"61366272\", alpha=\"0.12\", expect_size=\"30683136\"] \n  12 -> 18 [size =\"30683136\"]\n  12 -> 19 [size =\"30683136\"]\n  12 -> 20 [size =\"30683136\"]\n  13 [size=\"79300608\", alpha=\"0.13\", expect_size=\"39650304\"] \n  13 -> 16 [size =\"39650304\"]\n  13 -> 17 [size =\"39650304\"]\n  13 -> 18 [size =\"39650304\"]\n  13 -> 20 [size =\"39650304\"]\n  14 [size=\"30111744\", alpha=\"0.02\", expect_size=\"15055872\"] \n  14 -> 16 [size =\"15055872\"]\n  14 -> 17 [size =\"15055872\"]\n  14 -> 20 [size =\"15055872\"]\n  15 [size=\"89686016\", alpha=\"0.04\", expect_size=\"44843008\"] \n  15 -> 16 [size =\"44843008\"]\n  15 -> 18 [size =\"44843008\"]\n  15 -> 19 [size =\"44843008\"]\n  16 [size=\"87173120\", alpha=\"0.03\", expect_size=\"43586560\"] \n  16 -> 23 [size =\"43586560\"]\n  17 [size=\"41564160\", alpha=\"0.15\", expect_size=\"20782080\"] \n  18 [size=\"66822144\", alpha=\"0.15\", expect_size=\"33411072\"] \n  18 -> 22 [size =\"33411072\"]\n  19 [size=\"76484608\", alpha=\"0.11\", expect_size=\"38242304\"] \n  19 -> 23 [size =\"38242304\"]\n  20 [size=\"70860800\", alpha=\"0.14\", expect_size=\"35430400\"] \n  20 -> 21 [size =\"35430400\"]\n  20 -> 24 [size =\"35430400\"]\n  21 [size=\"53997568\", alpha=\"0.13\", expect_size=\"26998784\"] \n  21 -> 28 [size =\"26998784\"]\n  22 [size=\"40714240\", alpha=\"0.13\", expect_size=\"20357120\"] \n  22 -> 26 [size =\"20357120\"]\n  22 -> 27 [size =\"20357120\"]\n  23 [size=\"97685504\", alpha=\"0.19\", expect_size=\"48842752\"] \n  24 [size=\"65701888\", alpha=\"0.12\", expect_size=\"32850944\"] \n  24 -> 25 [size =\"32850944\"]\n  24 -> 26 [size =\"32850944\"]\n  25 [size=\"76263424\", alpha=\"0.17\", expect_size=\"38131712\"] \n  25 -> 29 [size =\"38131712\"]\n  25 -> 32 [size =\"38131712\"]\n  26 [size=\"93423616\", alpha=\"0.09\", expect_size=\"46711808\"] \n  26 -> 29 [size =\"46711808\"]\n  26 -> 31 [size =\"46711808\"]\n  26 -> 33 [size =\"46711808\"]\n  27 [size=\"13268992\", alpha=\"0.10\", expect_size=\"6634496\"] \n  27 -> 30 [size =\"6634496\"]\n  27 -> 31 [size =\"6634496\"]\n  27 -> 33 [size =\"6634496\"]\n  28 [size=\"85788672\", alpha=\"0.01\", expect_size=\"42894336\"] \n  29 [size=\"60198912\", alpha=\"0.15\", expect_size=\"30099456\"] \n  29 -> 34 [size =\"30099456\"]\n  30 [size=\"17188864\", alpha=\"0.15\", expect_size=\"8594432\"] \n  31 [size=\"81209344\", alpha=\"0.03\", expect_size=\"40604672\"] \n  31 -> 35 [size =\"40604672\"]\n  32 [size=\"46127104\", alpha=\"0.02\", expect_size=\"23063552\"] \n  32 -> 35 [size =\"23063552\"]\n  33 [size=\"12089344\", alpha=\"0.15\", expect_size=\"6044672\"] \n  34 [size=\"101597184\", alpha=\"0.13\", expect_size=\"50798592\"] \n  35 [size=\"62689280\", alpha=\"0.08\", expect_size=\"31344640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44661760\", alpha=\"0.14\", expect_size=\"17864704\"] \n  1 -> 2 [size =\"17864704\"]\n  2 [size=\"43788800\", alpha=\"0.20\", expect_size=\"17515520\"] \n  2 -> 3 [size =\"17515520\"]\n  3 [size=\"120033280\", alpha=\"0.09\", expect_size=\"48013312\"] \n  3 -> 4 [size =\"48013312\"]\n  4 [size=\"101268480\", alpha=\"0.07\", expect_size=\"40507392\"] \n  4 -> 5 [size =\"40507392\"]\n  5 [size=\"44472320\", alpha=\"0.18\", expect_size=\"17788928\"] \n  5 -> 6 [size =\"17788928\"]\n  6 [size=\"116556800\", alpha=\"0.17\", expect_size=\"46622720\"] \n  6 -> 7 [size =\"46622720\"]\n  7 [size=\"66449920\", alpha=\"0.00\", expect_size=\"26579968\"] \n  7 -> 8 [size =\"26579968\"]\n  8 [size=\"60200960\", alpha=\"0.14\", expect_size=\"24080384\"] \n  8 -> 9 [size =\"24080384\"]\n  9 [size=\"64491520\", alpha=\"0.00\", expect_size=\"25796608\"] \n  9 -> 10 [size =\"25796608\"]\n  10 [size=\"57955840\", alpha=\"0.11\", expect_size=\"23182336\"] \n  10 -> 11 [size =\"23182336\"]\n  11 [size=\"27389440\", alpha=\"0.02\", expect_size=\"10955776\"] \n  11 -> 12 [size =\"10955776\"]\n  12 [size=\"110233600\", alpha=\"0.07\", expect_size=\"44093440\"] \n  12 -> 13 [size =\"44093440\"]\n  13 [size=\"109178880\", alpha=\"0.03\", expect_size=\"43671552\"] \n  13 -> 14 [size =\"43671552\"]\n  14 [size=\"42577920\", alpha=\"0.04\", expect_size=\"17031168\"] \n  14 -> 15 [size =\"17031168\"]\n  15 [size=\"85841920\", alpha=\"0.08\", expect_size=\"34336768\"] \n  15 -> 16 [size =\"34336768\"]\n  16 [size=\"72998400\", alpha=\"0.18\", expect_size=\"29199360\"] \n  16 -> 17 [size =\"29199360\"]\n  17 [size=\"57216000\", alpha=\"0.17\", expect_size=\"22886400\"] \n  17 -> 18 [size =\"22886400\"]\n  18 [size=\"58923520\", alpha=\"0.17\", expect_size=\"23569408\"] \n  18 -> 19 [size =\"23569408\"]\n  19 [size=\"24381440\", alpha=\"0.06\", expect_size=\"9752576\"] \n  19 -> 20 [size =\"9752576\"]\n  20 [size=\"24527360\", alpha=\"0.11\", expect_size=\"9810944\"] \n  20 -> 21 [size =\"9810944\"]\n  21 [size=\"89966080\", alpha=\"0.01\", expect_size=\"35986432\"] \n  21 -> 22 [size =\"35986432\"]\n  22 [size=\"100021760\", alpha=\"0.16\", expect_size=\"40008704\"] \n  22 -> 23 [size =\"40008704\"]\n  23 [size=\"22502400\", alpha=\"0.10\", expect_size=\"9000960\"] \n  23 -> 24 [size =\"9000960\"]\n  24 [size=\"39178240\", alpha=\"0.18\", expect_size=\"15671296\"] \n  24 -> 25 [size =\"15671296\"]\n  25 [size=\"63424000\", alpha=\"0.12\", expect_size=\"25369600\"] \n  25 -> 26 [size =\"25369600\"]\n  26 [size=\"108746240\", alpha=\"0.03\", expect_size=\"43498496\"] \n  26 -> 27 [size =\"43498496\"]\n  27 [size=\"95569920\", alpha=\"0.03\", expect_size=\"38227968\"] \n  27 -> 28 [size =\"38227968\"]\n  28 [size=\"75696640\", alpha=\"0.11\", expect_size=\"30278656\"] \n  28 -> 29 [size =\"30278656\"]\n  29 [size=\"57175040\", alpha=\"0.08\", expect_size=\"22870016\"] \n  29 -> 30 [size =\"22870016\"]\n  30 [size=\"93132800\", alpha=\"0.13\", expect_size=\"37253120\"] \n  30 -> 31 [size =\"37253120\"]\n  31 [size=\"38917120\", alpha=\"0.20\", expect_size=\"15566848\"] \n  31 -> 32 [size =\"15566848\"]\n  32 [size=\"44042240\", alpha=\"0.03\", expect_size=\"17616896\"] \n  32 -> 33 [size =\"17616896\"]\n  33 [size=\"21227520\", alpha=\"0.03\", expect_size=\"8491008\"] \n  33 -> 34 [size =\"8491008\"]\n  34 [size=\"77404160\", alpha=\"0.07\", expect_size=\"30961664\"] \n  34 -> 35 [size =\"30961664\"]\n  35 [size=\"64803840\", alpha=\"0.05\", expect_size=\"25921536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42735616\", alpha=\"0.13\", expect_size=\"21367808\"] \n  1 -> 5 [size =\"21367808\"]\n  2 [size=\"92506112\", alpha=\"0.09\", expect_size=\"46253056\"] \n  2 -> 5 [size =\"46253056\"]\n  2 -> 6 [size =\"46253056\"]\n  2 -> 7 [size =\"46253056\"]\n  2 -> 8 [size =\"46253056\"]\n  3 [size=\"34476032\", alpha=\"0.18\", expect_size=\"17238016\"] \n  3 -> 6 [size =\"17238016\"]\n  3 -> 8 [size =\"17238016\"]\n  4 [size=\"71778304\", alpha=\"0.19\", expect_size=\"35889152\"] \n  4 -> 5 [size =\"35889152\"]\n  4 -> 6 [size =\"35889152\"]\n  5 [size=\"55582720\", alpha=\"0.20\", expect_size=\"27791360\"] \n  5 -> 9 [size =\"27791360\"]\n  5 -> 10 [size =\"27791360\"]\n  5 -> 11 [size =\"27791360\"]\n  6 [size=\"75659264\", alpha=\"0.18\", expect_size=\"37829632\"] \n  6 -> 11 [size =\"37829632\"]\n  7 [size=\"57554944\", alpha=\"0.15\", expect_size=\"28777472\"] \n  7 -> 13 [size =\"28777472\"]\n  8 [size=\"66273280\", alpha=\"0.17\", expect_size=\"33136640\"] \n  8 -> 12 [size =\"33136640\"]\n  8 -> 13 [size =\"33136640\"]\n  9 [size=\"80609280\", alpha=\"0.16\", expect_size=\"40304640\"] \n  9 -> 14 [size =\"40304640\"]\n  9 -> 18 [size =\"40304640\"]\n  10 [size=\"67837952\", alpha=\"0.20\", expect_size=\"33918976\"] \n  10 -> 16 [size =\"33918976\"]\n  10 -> 17 [size =\"33918976\"]\n  11 [size=\"75950080\", alpha=\"0.19\", expect_size=\"37975040\"] \n  11 -> 18 [size =\"37975040\"]\n  12 [size=\"44724224\", alpha=\"0.04\", expect_size=\"22362112\"] \n  12 -> 14 [size =\"22362112\"]\n  12 -> 17 [size =\"22362112\"]\n  12 -> 18 [size =\"22362112\"]\n  13 [size=\"87093248\", alpha=\"0.01\", expect_size=\"43546624\"] \n  13 -> 14 [size =\"43546624\"]\n  13 -> 15 [size =\"43546624\"]\n  14 [size=\"76431360\", alpha=\"0.09\", expect_size=\"38215680\"] \n  14 -> 19 [size =\"38215680\"]\n  15 [size=\"70854656\", alpha=\"0.01\", expect_size=\"35427328\"] \n  15 -> 19 [size =\"35427328\"]\n  15 -> 21 [size =\"35427328\"]\n  16 [size=\"69728256\", alpha=\"0.03\", expect_size=\"34864128\"] \n  16 -> 20 [size =\"34864128\"]\n  17 [size=\"61624320\", alpha=\"0.15\", expect_size=\"30812160\"] \n  17 -> 20 [size =\"30812160\"]\n  17 -> 21 [size =\"30812160\"]\n  17 -> 22 [size =\"30812160\"]\n  17 -> 23 [size =\"30812160\"]\n  18 [size=\"36270080\", alpha=\"0.16\", expect_size=\"18135040\"] \n  18 -> 19 [size =\"18135040\"]\n  18 -> 22 [size =\"18135040\"]\n  19 [size=\"22870016\", alpha=\"0.14\", expect_size=\"11435008\"] \n  19 -> 25 [size =\"11435008\"]\n  20 [size=\"98039808\", alpha=\"0.01\", expect_size=\"49019904\"] \n  20 -> 24 [size =\"49019904\"]\n  20 -> 25 [size =\"49019904\"]\n  21 [size=\"96376832\", alpha=\"0.14\", expect_size=\"48188416\"] \n  21 -> 24 [size =\"48188416\"]\n  21 -> 26 [size =\"48188416\"]\n  21 -> 27 [size =\"48188416\"]\n  22 [size=\"91031552\", alpha=\"0.05\", expect_size=\"45515776\"] \n  22 -> 26 [size =\"45515776\"]\n  22 -> 27 [size =\"45515776\"]\n  23 [size=\"14956544\", alpha=\"0.01\", expect_size=\"7478272\"] \n  24 [size=\"19560448\", alpha=\"0.09\", expect_size=\"9780224\"] \n  24 -> 30 [size =\"9780224\"]\n  24 -> 31 [size =\"9780224\"]\n  25 [size=\"63428608\", alpha=\"0.08\", expect_size=\"31714304\"] \n  25 -> 28 [size =\"31714304\"]\n  25 -> 30 [size =\"31714304\"]\n  26 [size=\"68610048\", alpha=\"0.00\", expect_size=\"34305024\"] \n  26 -> 28 [size =\"34305024\"]\n  26 -> 31 [size =\"34305024\"]\n  27 [size=\"84682752\", alpha=\"0.02\", expect_size=\"42341376\"] \n  27 -> 29 [size =\"42341376\"]\n  27 -> 31 [size =\"42341376\"]\n  28 [size=\"62382080\", alpha=\"0.16\", expect_size=\"31191040\"] \n  28 -> 32 [size =\"31191040\"]\n  28 -> 34 [size =\"31191040\"]\n  28 -> 35 [size =\"31191040\"]\n  29 [size=\"43657216\", alpha=\"0.05\", expect_size=\"21828608\"] \n  29 -> 33 [size =\"21828608\"]\n  29 -> 34 [size =\"21828608\"]\n  29 -> 35 [size =\"21828608\"]\n  30 [size=\"15978496\", alpha=\"0.06\", expect_size=\"7989248\"] \n  30 -> 33 [size =\"7989248\"]\n  30 -> 34 [size =\"7989248\"]\n  30 -> 35 [size =\"7989248\"]\n  31 [size=\"19138560\", alpha=\"0.01\", expect_size=\"9569280\"] \n  31 -> 32 [size =\"9569280\"]\n  31 -> 33 [size =\"9569280\"]\n  32 [size=\"85387264\", alpha=\"0.03\", expect_size=\"42693632\"] \n  33 [size=\"13631488\", alpha=\"0.01\", expect_size=\"6815744\"] \n  34 [size=\"16603136\", alpha=\"0.14\", expect_size=\"8301568\"] \n  35 [size=\"61229056\", alpha=\"0.19\", expect_size=\"30614528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83421184\", alpha=\"0.13\", expect_size=\"41710592\"] \n  1 -> 23 [size =\"41710592\"]\n  1 -> 24 [size =\"41710592\"]\n  1 -> 25 [size =\"41710592\"]\n  1 -> 26 [size =\"41710592\"]\n  1 -> 28 [size =\"41710592\"]\n  1 -> 29 [size =\"41710592\"]\n  1 -> 32 [size =\"41710592\"]\n  1 -> 33 [size =\"41710592\"]\n  2 [size=\"65353728\", alpha=\"0.09\", expect_size=\"32676864\"] \n  2 -> 23 [size =\"32676864\"]\n  2 -> 24 [size =\"32676864\"]\n  2 -> 25 [size =\"32676864\"]\n  2 -> 33 [size =\"32676864\"]\n  2 -> 35 [size =\"32676864\"]\n  3 [size=\"81739776\", alpha=\"0.04\", expect_size=\"40869888\"] \n  3 -> 24 [size =\"40869888\"]\n  3 -> 27 [size =\"40869888\"]\n  3 -> 32 [size =\"40869888\"]\n  3 -> 33 [size =\"40869888\"]\n  3 -> 34 [size =\"40869888\"]\n  4 [size=\"43618304\", alpha=\"0.02\", expect_size=\"21809152\"] \n  4 -> 23 [size =\"21809152\"]\n  4 -> 24 [size =\"21809152\"]\n  4 -> 25 [size =\"21809152\"]\n  4 -> 27 [size =\"21809152\"]\n  4 -> 29 [size =\"21809152\"]\n  4 -> 32 [size =\"21809152\"]\n  4 -> 34 [size =\"21809152\"]\n  5 [size=\"31684608\", alpha=\"0.19\", expect_size=\"15842304\"] \n  5 -> 23 [size =\"15842304\"]\n  5 -> 25 [size =\"15842304\"]\n  5 -> 28 [size =\"15842304\"]\n  5 -> 34 [size =\"15842304\"]\n  6 [size=\"98920448\", alpha=\"0.08\", expect_size=\"49460224\"] \n  6 -> 23 [size =\"49460224\"]\n  6 -> 24 [size =\"49460224\"]\n  6 -> 27 [size =\"49460224\"]\n  6 -> 28 [size =\"49460224\"]\n  6 -> 30 [size =\"49460224\"]\n  6 -> 32 [size =\"49460224\"]\n  6 -> 34 [size =\"49460224\"]\n  7 [size=\"28299264\", alpha=\"0.02\", expect_size=\"14149632\"] \n  7 -> 24 [size =\"14149632\"]\n  7 -> 24 [size =\"14149632\"]\n  7 -> 26 [size =\"14149632\"]\n  7 -> 28 [size =\"14149632\"]\n  7 -> 32 [size =\"14149632\"]\n  7 -> 33 [size =\"14149632\"]\n  7 -> 34 [size =\"14149632\"]\n  8 [size=\"38471680\", alpha=\"0.07\", expect_size=\"19235840\"] \n  8 -> 24 [size =\"19235840\"]\n  8 -> 28 [size =\"19235840\"]\n  8 -> 30 [size =\"19235840\"]\n  8 -> 34 [size =\"19235840\"]\n  9 [size=\"68919296\", alpha=\"0.10\", expect_size=\"34459648\"] \n  9 -> 28 [size =\"34459648\"]\n  9 -> 28 [size =\"34459648\"]\n  9 -> 30 [size =\"34459648\"]\n  9 -> 32 [size =\"34459648\"]\n  9 -> 34 [size =\"34459648\"]\n  10 [size=\"59744256\", alpha=\"0.14\", expect_size=\"29872128\"] \n  10 -> 24 [size =\"29872128\"]\n  10 -> 27 [size =\"29872128\"]\n  10 -> 28 [size =\"29872128\"]\n  10 -> 30 [size =\"29872128\"]\n  10 -> 32 [size =\"29872128\"]\n  10 -> 34 [size =\"29872128\"]\n  11 [size=\"49256448\", alpha=\"0.12\", expect_size=\"24628224\"] \n  11 -> 28 [size =\"24628224\"]\n  11 -> 29 [size =\"24628224\"]\n  11 -> 33 [size =\"24628224\"]\n  11 -> 34 [size =\"24628224\"]\n  12 [size=\"17549312\", alpha=\"0.17\", expect_size=\"8774656\"] \n  12 -> 23 [size =\"8774656\"]\n  12 -> 25 [size =\"8774656\"]\n  12 -> 28 [size =\"8774656\"]\n  12 -> 33 [size =\"8774656\"]\n  13 [size=\"61683712\", alpha=\"0.01\", expect_size=\"30841856\"] \n  13 -> 28 [size =\"30841856\"]\n  13 -> 30 [size =\"30841856\"]\n  13 -> 32 [size =\"30841856\"]\n  13 -> 33 [size =\"30841856\"]\n  13 -> 34 [size =\"30841856\"]\n  14 [size=\"79937536\", alpha=\"0.00\", expect_size=\"39968768\"] \n  14 -> 24 [size =\"39968768\"]\n  14 -> 27 [size =\"39968768\"]\n  14 -> 28 [size =\"39968768\"]\n  14 -> 31 [size =\"39968768\"]\n  14 -> 32 [size =\"39968768\"]\n  14 -> 33 [size =\"39968768\"]\n  15 [size=\"89309184\", alpha=\"0.05\", expect_size=\"44654592\"] \n  15 -> 24 [size =\"44654592\"]\n  15 -> 25 [size =\"44654592\"]\n  15 -> 27 [size =\"44654592\"]\n  15 -> 29 [size =\"44654592\"]\n  15 -> 30 [size =\"44654592\"]\n  15 -> 32 [size =\"44654592\"]\n  15 -> 33 [size =\"44654592\"]\n  16 [size=\"82307072\", alpha=\"0.05\", expect_size=\"41153536\"] \n  16 -> 23 [size =\"41153536\"]\n  16 -> 24 [size =\"41153536\"]\n  16 -> 27 [size =\"41153536\"]\n  16 -> 30 [size =\"41153536\"]\n  16 -> 32 [size =\"41153536\"]\n  16 -> 33 [size =\"41153536\"]\n  17 [size=\"27492352\", alpha=\"0.15\", expect_size=\"13746176\"] \n  17 -> 23 [size =\"13746176\"]\n  17 -> 24 [size =\"13746176\"]\n  17 -> 28 [size =\"13746176\"]\n  17 -> 30 [size =\"13746176\"]\n  17 -> 33 [size =\"13746176\"]\n  17 -> 34 [size =\"13746176\"]\n  18 [size=\"35770368\", alpha=\"0.00\", expect_size=\"17885184\"] \n  18 -> 23 [size =\"17885184\"]\n  18 -> 26 [size =\"17885184\"]\n  18 -> 30 [size =\"17885184\"]\n  18 -> 33 [size =\"17885184\"]\n  19 [size=\"67993600\", alpha=\"0.14\", expect_size=\"33996800\"] \n  19 -> 23 [size =\"33996800\"]\n  19 -> 25 [size =\"33996800\"]\n  19 -> 26 [size =\"33996800\"]\n  19 -> 28 [size =\"33996800\"]\n  19 -> 30 [size =\"33996800\"]\n  20 [size=\"20447232\", alpha=\"0.01\", expect_size=\"10223616\"] \n  20 -> 23 [size =\"10223616\"]\n  20 -> 24 [size =\"10223616\"]\n  20 -> 26 [size =\"10223616\"]\n  20 -> 27 [size =\"10223616\"]\n  20 -> 28 [size =\"10223616\"]\n  20 -> 31 [size =\"10223616\"]\n  20 -> 33 [size =\"10223616\"]\n  21 [size=\"86061056\", alpha=\"0.04\", expect_size=\"43030528\"] \n  21 -> 23 [size =\"43030528\"]\n  21 -> 25 [size =\"43030528\"]\n  21 -> 27 [size =\"43030528\"]\n  21 -> 30 [size =\"43030528\"]\n  21 -> 31 [size =\"43030528\"]\n  21 -> 32 [size =\"43030528\"]\n  21 -> 34 [size =\"43030528\"]\n  22 [size=\"47454208\", alpha=\"0.19\", expect_size=\"23727104\"] \n  22 -> 23 [size =\"23727104\"]\n  22 -> 25 [size =\"23727104\"]\n  22 -> 26 [size =\"23727104\"]\n  22 -> 31 [size =\"23727104\"]\n  23 [size=\"33869824\", alpha=\"0.08\", expect_size=\"16934912\"] \n  24 [size=\"40155136\", alpha=\"0.05\", expect_size=\"20077568\"] \n  25 [size=\"41644032\", alpha=\"0.06\", expect_size=\"20822016\"] \n  26 [size=\"64616448\", alpha=\"0.06\", expect_size=\"32308224\"] \n  27 [size=\"86517760\", alpha=\"0.10\", expect_size=\"43258880\"] \n  28 [size=\"60719104\", alpha=\"0.19\", expect_size=\"30359552\"] \n  29 [size=\"62724096\", alpha=\"0.01\", expect_size=\"31362048\"] \n  30 [size=\"33472512\", alpha=\"0.14\", expect_size=\"16736256\"] \n  31 [size=\"39413760\", alpha=\"0.14\", expect_size=\"19706880\"] \n  32 [size=\"59113472\", alpha=\"0.17\", expect_size=\"29556736\"] \n  33 [size=\"53071872\", alpha=\"0.10\", expect_size=\"26535936\"] \n  34 [size=\"92540928\", alpha=\"0.17\", expect_size=\"46270464\"] \n  35 [size=\"21911552\", alpha=\"0.02\", expect_size=\"10955776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146176000\", alpha=\"0.12\", expect_size=\"43852800\"] \n  1 -> 2 [size =\"43852800\"]\n  2 [size=\"128030720\", alpha=\"0.12\", expect_size=\"38409216\"] \n  2 -> 3 [size =\"38409216\"]\n  3 [size=\"36788907\", alpha=\"0.00\", expect_size=\"11036672\"] \n  3 -> 4 [size =\"11036672\"]\n  3 -> 5 [size =\"11036672\"]\n  4 [size=\"121811627\", alpha=\"0.01\", expect_size=\"36543488\"] \n  4 -> 6 [size =\"36543488\"]\n  4 -> 7 [size =\"36543488\"]\n  5 [size=\"42021547\", alpha=\"0.08\", expect_size=\"12606464\"] \n  6 [size=\"102785707\", alpha=\"0.02\", expect_size=\"30835712\"] \n  6 -> 8 [size =\"30835712\"]\n  7 [size=\"143578453\", alpha=\"0.06\", expect_size=\"43073536\"] \n  8 [size=\"168069120\", alpha=\"0.05\", expect_size=\"50420736\"] \n  8 -> 9 [size =\"50420736\"]\n  9 [size=\"150053547\", alpha=\"0.02\", expect_size=\"45016064\"] \n  9 -> 10 [size =\"45016064\"]\n  10 [size=\"168171520\", alpha=\"0.03\", expect_size=\"50451456\"] \n  10 -> 11 [size =\"50451456\"]\n  11 [size=\"131700053\", alpha=\"0.14\", expect_size=\"39510016\"] \n  11 -> 12 [size =\"39510016\"]\n  12 [size=\"65092267\", alpha=\"0.18\", expect_size=\"19527680\"] \n  12 -> 13 [size =\"19527680\"]\n  13 [size=\"163334827\", alpha=\"0.06\", expect_size=\"49000448\"] \n  13 -> 14 [size =\"49000448\"]\n  13 -> 15 [size =\"49000448\"]\n  14 [size=\"164300800\", alpha=\"0.04\", expect_size=\"49290240\"] \n  14 -> 16 [size =\"49290240\"]\n  15 [size=\"169523200\", alpha=\"0.04\", expect_size=\"50856960\"] \n  15 -> 16 [size =\"50856960\"]\n  16 [size=\"75786240\", alpha=\"0.08\", expect_size=\"22735872\"] \n  16 -> 17 [size =\"22735872\"]\n  17 [size=\"89115307\", alpha=\"0.16\", expect_size=\"26734592\"] \n  17 -> 18 [size =\"26734592\"]\n  18 [size=\"136236373\", alpha=\"0.01\", expect_size=\"40870912\"] \n  18 -> 19 [size =\"40870912\"]\n  19 [size=\"21998933\", alpha=\"0.00\", expect_size=\"6599680\"] \n  19 -> 20 [size =\"6599680\"]\n  19 -> 21 [size =\"6599680\"]\n  20 [size=\"40478720\", alpha=\"0.10\", expect_size=\"12143616\"] \n  20 -> 22 [size =\"12143616\"]\n  20 -> 23 [size =\"12143616\"]\n  21 [size=\"67027627\", alpha=\"0.16\", expect_size=\"20108288\"] \n  22 [size=\"23418880\", alpha=\"0.16\", expect_size=\"7025664\"] \n  22 -> 24 [size =\"7025664\"]\n  22 -> 25 [size =\"7025664\"]\n  23 [size=\"163546453\", alpha=\"0.18\", expect_size=\"49063936\"] \n  23 -> 25 [size =\"49063936\"]\n  24 [size=\"50005333\", alpha=\"0.14\", expect_size=\"15001600\"] \n  24 -> 27 [size =\"15001600\"]\n  25 [size=\"81827840\", alpha=\"0.13\", expect_size=\"24548352\"] \n  25 -> 26 [size =\"24548352\"]\n  26 [size=\"111738880\", alpha=\"0.03\", expect_size=\"33521664\"] \n  26 -> 29 [size =\"33521664\"]\n  27 [size=\"174277973\", alpha=\"0.09\", expect_size=\"52283392\"] \n  27 -> 28 [size =\"52283392\"]\n  27 -> 29 [size =\"52283392\"]\n  28 [size=\"145431893\", alpha=\"0.14\", expect_size=\"43629568\"] \n  28 -> 30 [size =\"43629568\"]\n  29 [size=\"150961493\", alpha=\"0.16\", expect_size=\"45288448\"] \n  30 [size=\"152412160\", alpha=\"0.16\", expect_size=\"45723648\"] \n  30 -> 31 [size =\"45723648\"]\n  30 -> 32 [size =\"45723648\"]\n  31 [size=\"72488960\", alpha=\"0.12\", expect_size=\"21746688\"] \n  31 -> 33 [size =\"21746688\"]\n  32 [size=\"39891627\", alpha=\"0.14\", expect_size=\"11967488\"] \n  33 [size=\"165174613\", alpha=\"0.14\", expect_size=\"49552384\"] \n  33 -> 34 [size =\"49552384\"]\n  33 -> 35 [size =\"49552384\"]\n  34 [size=\"153084587\", alpha=\"0.12\", expect_size=\"45925376\"] \n  35 [size=\"107960320\", alpha=\"0.11\", expect_size=\"32388096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54582613\", alpha=\"0.20\", expect_size=\"16374784\"] \n  1 -> 2 [size =\"16374784\"]\n  2 [size=\"171287893\", alpha=\"0.16\", expect_size=\"51386368\"] \n  2 -> 3 [size =\"51386368\"]\n  3 [size=\"154176853\", alpha=\"0.17\", expect_size=\"46253056\"] \n  3 -> 4 [size =\"46253056\"]\n  3 -> 5 [size =\"46253056\"]\n  4 [size=\"73830400\", alpha=\"0.15\", expect_size=\"22149120\"] \n  4 -> 6 [size =\"22149120\"]\n  5 [size=\"147988480\", alpha=\"0.18\", expect_size=\"44396544\"] \n  5 -> 6 [size =\"44396544\"]\n  5 -> 7 [size =\"44396544\"]\n  6 [size=\"66990080\", alpha=\"0.03\", expect_size=\"20097024\"] \n  7 [size=\"68283733\", alpha=\"0.09\", expect_size=\"20485120\"] \n  7 -> 8 [size =\"20485120\"]\n  8 [size=\"21476693\", alpha=\"0.03\", expect_size=\"6443008\"] \n  8 -> 9 [size =\"6443008\"]\n  8 -> 10 [size =\"6443008\"]\n  9 [size=\"101321387\", alpha=\"0.14\", expect_size=\"30396416\"] \n  9 -> 11 [size =\"30396416\"]\n  10 [size=\"100420267\", alpha=\"0.13\", expect_size=\"30126080\"] \n  11 [size=\"147633493\", alpha=\"0.18\", expect_size=\"44290048\"] \n  11 -> 12 [size =\"44290048\"]\n  12 [size=\"144660480\", alpha=\"0.16\", expect_size=\"43398144\"] \n  12 -> 13 [size =\"43398144\"]\n  13 [size=\"113923413\", alpha=\"0.17\", expect_size=\"34177024\"] \n  13 -> 14 [size =\"34177024\"]\n  14 [size=\"90501120\", alpha=\"0.11\", expect_size=\"27150336\"] \n  14 -> 15 [size =\"27150336\"]\n  15 [size=\"52370773\", alpha=\"0.20\", expect_size=\"15711232\"] \n  15 -> 16 [size =\"15711232\"]\n  16 [size=\"38696960\", alpha=\"0.10\", expect_size=\"11609088\"] \n  16 -> 17 [size =\"11609088\"]\n  17 [size=\"62856533\", alpha=\"0.01\", expect_size=\"18856960\"] \n  17 -> 18 [size =\"18856960\"]\n  17 -> 19 [size =\"18856960\"]\n  18 [size=\"136970240\", alpha=\"0.14\", expect_size=\"41091072\"] \n  18 -> 20 [size =\"41091072\"]\n  19 [size=\"158508373\", alpha=\"0.02\", expect_size=\"47552512\"] \n  19 -> 20 [size =\"47552512\"]\n  20 [size=\"114428587\", alpha=\"0.05\", expect_size=\"34328576\"] \n  20 -> 21 [size =\"34328576\"]\n  20 -> 22 [size =\"34328576\"]\n  21 [size=\"57559040\", alpha=\"0.12\", expect_size=\"17267712\"] \n  21 -> 23 [size =\"17267712\"]\n  21 -> 24 [size =\"17267712\"]\n  22 [size=\"45100373\", alpha=\"0.20\", expect_size=\"13530112\"] \n  22 -> 24 [size =\"13530112\"]\n  23 [size=\"173373440\", alpha=\"0.04\", expect_size=\"52012032\"] \n  23 -> 25 [size =\"52012032\"]\n  23 -> 26 [size =\"52012032\"]\n  24 [size=\"149541547\", alpha=\"0.16\", expect_size=\"44862464\"] \n  24 -> 26 [size =\"44862464\"]\n  25 [size=\"80991573\", alpha=\"0.04\", expect_size=\"24297472\"] \n  25 -> 27 [size =\"24297472\"]\n  25 -> 28 [size =\"24297472\"]\n  26 [size=\"80523947\", alpha=\"0.19\", expect_size=\"24157184\"] \n  26 -> 28 [size =\"24157184\"]\n  27 [size=\"157375147\", alpha=\"0.20\", expect_size=\"47212544\"] \n  27 -> 29 [size =\"47212544\"]\n  27 -> 30 [size =\"47212544\"]\n  28 [size=\"164587520\", alpha=\"0.02\", expect_size=\"49376256\"] \n  28 -> 30 [size =\"49376256\"]\n  29 [size=\"114684587\", alpha=\"0.14\", expect_size=\"34405376\"] \n  29 -> 31 [size =\"34405376\"]\n  29 -> 32 [size =\"34405376\"]\n  30 [size=\"129976320\", alpha=\"0.17\", expect_size=\"38992896\"] \n  30 -> 31 [size =\"38992896\"]\n  30 -> 32 [size =\"38992896\"]\n  31 [size=\"168110080\", alpha=\"0.16\", expect_size=\"50433024\"] \n  31 -> 33 [size =\"50433024\"]\n  32 [size=\"108905813\", alpha=\"0.11\", expect_size=\"32671744\"] \n  32 -> 33 [size =\"32671744\"]\n  32 -> 34 [size =\"32671744\"]\n  33 [size=\"106171733\", alpha=\"0.19\", expect_size=\"31851520\"] \n  33 -> 35 [size =\"31851520\"]\n  34 [size=\"139328853\", alpha=\"0.16\", expect_size=\"41798656\"] \n  34 -> 35 [size =\"41798656\"]\n  35 [size=\"107444907\", alpha=\"0.18\", expect_size=\"32233472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114588160\", alpha=\"0.18\", expect_size=\"45835264\"] \n  2 [size=\"23792640\", alpha=\"0.06\", expect_size=\"9517056\"] \n  2 -> 3 [size =\"9517056\"]\n  3 [size=\"34647040\", alpha=\"0.11\", expect_size=\"13858816\"] \n  3 -> 4 [size =\"13858816\"]\n  4 [size=\"83023360\", alpha=\"0.16\", expect_size=\"33209344\"] \n  4 -> 5 [size =\"33209344\"]\n  4 -> 6 [size =\"33209344\"]\n  5 [size=\"34923520\", alpha=\"0.11\", expect_size=\"13969408\"] \n  6 [size=\"73543680\", alpha=\"0.09\", expect_size=\"29417472\"] \n  6 -> 7 [size =\"29417472\"]\n  7 [size=\"94768640\", alpha=\"0.20\", expect_size=\"37907456\"] \n  7 -> 8 [size =\"37907456\"]\n  8 [size=\"98214400\", alpha=\"0.08\", expect_size=\"39285760\"] \n  8 -> 9 [size =\"39285760\"]\n  9 [size=\"113605120\", alpha=\"0.04\", expect_size=\"45442048\"] \n  9 -> 10 [size =\"45442048\"]\n  10 [size=\"117383680\", alpha=\"0.09\", expect_size=\"46953472\"] \n  10 -> 11 [size =\"46953472\"]\n  10 -> 12 [size =\"46953472\"]\n  11 [size=\"104171520\", alpha=\"0.00\", expect_size=\"41668608\"] \n  11 -> 13 [size =\"41668608\"]\n  12 [size=\"94376960\", alpha=\"0.08\", expect_size=\"37750784\"] \n  12 -> 13 [size =\"37750784\"]\n  13 [size=\"128171520\", alpha=\"0.13\", expect_size=\"51268608\"] \n  13 -> 14 [size =\"51268608\"]\n  13 -> 15 [size =\"51268608\"]\n  14 [size=\"75950080\", alpha=\"0.07\", expect_size=\"30380032\"] \n  14 -> 16 [size =\"30380032\"]\n  15 [size=\"52172800\", alpha=\"0.05\", expect_size=\"20869120\"] \n  15 -> 16 [size =\"20869120\"]\n  16 [size=\"117388800\", alpha=\"0.10\", expect_size=\"46955520\"] \n  16 -> 17 [size =\"46955520\"]\n  17 [size=\"54632960\", alpha=\"0.05\", expect_size=\"21853184\"] \n  17 -> 18 [size =\"21853184\"]\n  17 -> 19 [size =\"21853184\"]\n  18 [size=\"53463040\", alpha=\"0.04\", expect_size=\"21385216\"] \n  18 -> 20 [size =\"21385216\"]\n  19 [size=\"99304960\", alpha=\"0.09\", expect_size=\"39721984\"] \n  19 -> 20 [size =\"39721984\"]\n  20 [size=\"123340800\", alpha=\"0.18\", expect_size=\"49336320\"] \n  20 -> 21 [size =\"49336320\"]\n  21 [size=\"56588800\", alpha=\"0.04\", expect_size=\"22635520\"] \n  21 -> 22 [size =\"22635520\"]\n  21 -> 23 [size =\"22635520\"]\n  22 [size=\"56796160\", alpha=\"0.12\", expect_size=\"22718464\"] \n  22 -> 24 [size =\"22718464\"]\n  23 [size=\"106626560\", alpha=\"0.03\", expect_size=\"42650624\"] \n  23 -> 24 [size =\"42650624\"]\n  24 [size=\"66961920\", alpha=\"0.07\", expect_size=\"26784768\"] \n  24 -> 25 [size =\"26784768\"]\n  25 [size=\"107276800\", alpha=\"0.14\", expect_size=\"42910720\"] \n  25 -> 26 [size =\"42910720\"]\n  26 [size=\"18178560\", alpha=\"0.11\", expect_size=\"7271424\"] \n  26 -> 27 [size =\"7271424\"]\n  27 [size=\"78622720\", alpha=\"0.02\", expect_size=\"31449088\"] \n  27 -> 28 [size =\"31449088\"]\n  28 [size=\"111029760\", alpha=\"0.08\", expect_size=\"44411904\"] \n  28 -> 29 [size =\"44411904\"]\n  28 -> 30 [size =\"44411904\"]\n  29 [size=\"16199680\", alpha=\"0.10\", expect_size=\"6479872\"] \n  29 -> 31 [size =\"6479872\"]\n  30 [size=\"69370880\", alpha=\"0.11\", expect_size=\"27748352\"] \n  30 -> 31 [size =\"27748352\"]\n  31 [size=\"56788480\", alpha=\"0.07\", expect_size=\"22715392\"] \n  31 -> 32 [size =\"22715392\"]\n  32 [size=\"79933440\", alpha=\"0.16\", expect_size=\"31973376\"] \n  32 -> 33 [size =\"31973376\"]\n  33 [size=\"31528960\", alpha=\"0.05\", expect_size=\"12611584\"] \n  33 -> 34 [size =\"12611584\"]\n  33 -> 35 [size =\"12611584\"]\n  34 [size=\"51079680\", alpha=\"0.05\", expect_size=\"20431872\"] \n  35 [size=\"90534400\", alpha=\"0.11\", expect_size=\"36213760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35015680\", alpha=\"0.11\", expect_size=\"14006272\"] \n  1 -> 19 [size =\"14006272\"]\n  1 -> 26 [size =\"14006272\"]\n  1 -> 32 [size =\"14006272\"]\n  1 -> 35 [size =\"14006272\"]\n  2 [size=\"63516160\", alpha=\"0.11\", expect_size=\"25406464\"] \n  2 -> 23 [size =\"25406464\"]\n  2 -> 26 [size =\"25406464\"]\n  2 -> 29 [size =\"25406464\"]\n  2 -> 31 [size =\"25406464\"]\n  2 -> 32 [size =\"25406464\"]\n  2 -> 35 [size =\"25406464\"]\n  3 [size=\"41477120\", alpha=\"0.06\", expect_size=\"16590848\"] \n  3 -> 20 [size =\"16590848\"]\n  3 -> 21 [size =\"16590848\"]\n  3 -> 23 [size =\"16590848\"]\n  3 -> 26 [size =\"16590848\"]\n  3 -> 30 [size =\"16590848\"]\n  3 -> 31 [size =\"16590848\"]\n  3 -> 32 [size =\"16590848\"]\n  4 [size=\"80619520\", alpha=\"0.06\", expect_size=\"32247808\"] \n  4 -> 18 [size =\"32247808\"]\n  4 -> 21 [size =\"32247808\"]\n  4 -> 22 [size =\"32247808\"]\n  4 -> 23 [size =\"32247808\"]\n  4 -> 27 [size =\"32247808\"]\n  4 -> 31 [size =\"32247808\"]\n  4 -> 32 [size =\"32247808\"]\n  4 -> 33 [size =\"32247808\"]\n  4 -> 35 [size =\"32247808\"]\n  5 [size=\"107294720\", alpha=\"0.19\", expect_size=\"42917888\"] \n  5 -> 21 [size =\"42917888\"]\n  5 -> 23 [size =\"42917888\"]\n  5 -> 24 [size =\"42917888\"]\n  5 -> 27 [size =\"42917888\"]\n  5 -> 28 [size =\"42917888\"]\n  5 -> 32 [size =\"42917888\"]\n  5 -> 35 [size =\"42917888\"]\n  6 [size=\"129653760\", alpha=\"0.03\", expect_size=\"51861504\"] \n  6 -> 19 [size =\"51861504\"]\n  6 -> 22 [size =\"51861504\"]\n  6 -> 28 [size =\"51861504\"]\n  6 -> 29 [size =\"51861504\"]\n  7 [size=\"83008000\", alpha=\"0.00\", expect_size=\"33203200\"] \n  7 -> 19 [size =\"33203200\"]\n  7 -> 23 [size =\"33203200\"]\n  7 -> 26 [size =\"33203200\"]\n  8 [size=\"105533440\", alpha=\"0.02\", expect_size=\"42213376\"] \n  8 -> 19 [size =\"42213376\"]\n  8 -> 21 [size =\"42213376\"]\n  8 -> 23 [size =\"42213376\"]\n  8 -> 32 [size =\"42213376\"]\n  9 [size=\"96524800\", alpha=\"0.11\", expect_size=\"38609920\"] \n  9 -> 19 [size =\"38609920\"]\n  9 -> 20 [size =\"38609920\"]\n  9 -> 21 [size =\"38609920\"]\n  9 -> 23 [size =\"38609920\"]\n  9 -> 25 [size =\"38609920\"]\n  9 -> 27 [size =\"38609920\"]\n  9 -> 29 [size =\"38609920\"]\n  9 -> 34 [size =\"38609920\"]\n  10 [size=\"60700160\", alpha=\"0.12\", expect_size=\"24280064\"] \n  10 -> 19 [size =\"24280064\"]\n  10 -> 20 [size =\"24280064\"]\n  10 -> 21 [size =\"24280064\"]\n  10 -> 22 [size =\"24280064\"]\n  10 -> 24 [size =\"24280064\"]\n  10 -> 25 [size =\"24280064\"]\n  10 -> 28 [size =\"24280064\"]\n  10 -> 29 [size =\"24280064\"]\n  10 -> 32 [size =\"24280064\"]\n  10 -> 35 [size =\"24280064\"]\n  11 [size=\"114700800\", alpha=\"0.18\", expect_size=\"45880320\"] \n  11 -> 18 [size =\"45880320\"]\n  11 -> 20 [size =\"45880320\"]\n  11 -> 21 [size =\"45880320\"]\n  11 -> 23 [size =\"45880320\"]\n  11 -> 24 [size =\"45880320\"]\n  11 -> 26 [size =\"45880320\"]\n  11 -> 28 [size =\"45880320\"]\n  11 -> 29 [size =\"45880320\"]\n  11 -> 32 [size =\"45880320\"]\n  12 [size=\"58810880\", alpha=\"0.07\", expect_size=\"23524352\"] \n  12 -> 23 [size =\"23524352\"]\n  12 -> 26 [size =\"23524352\"]\n  12 -> 29 [size =\"23524352\"]\n  12 -> 32 [size =\"23524352\"]\n  12 -> 35 [size =\"23524352\"]\n  13 [size=\"123937280\", alpha=\"0.04\", expect_size=\"49574912\"] \n  13 -> 20 [size =\"49574912\"]\n  13 -> 22 [size =\"49574912\"]\n  13 -> 23 [size =\"49574912\"]\n  13 -> 28 [size =\"49574912\"]\n  13 -> 29 [size =\"49574912\"]\n  13 -> 30 [size =\"49574912\"]\n  13 -> 35 [size =\"49574912\"]\n  14 [size=\"41392640\", alpha=\"0.08\", expect_size=\"16557056\"] \n  14 -> 18 [size =\"16557056\"]\n  14 -> 19 [size =\"16557056\"]\n  14 -> 20 [size =\"16557056\"]\n  14 -> 25 [size =\"16557056\"]\n  14 -> 29 [size =\"16557056\"]\n  15 [size=\"77347840\", alpha=\"0.03\", expect_size=\"30939136\"] \n  15 -> 22 [size =\"30939136\"]\n  15 -> 25 [size =\"30939136\"]\n  15 -> 29 [size =\"30939136\"]\n  15 -> 30 [size =\"30939136\"]\n  15 -> 33 [size =\"30939136\"]\n  16 [size=\"68615680\", alpha=\"0.02\", expect_size=\"27446272\"] \n  16 -> 25 [size =\"27446272\"]\n  16 -> 26 [size =\"27446272\"]\n  16 -> 27 [size =\"27446272\"]\n  16 -> 28 [size =\"27446272\"]\n  16 -> 32 [size =\"27446272\"]\n  17 [size=\"89044480\", alpha=\"0.10\", expect_size=\"35617792\"] \n  17 -> 21 [size =\"35617792\"]\n  17 -> 26 [size =\"35617792\"]\n  17 -> 27 [size =\"35617792\"]\n  17 -> 28 [size =\"35617792\"]\n  17 -> 29 [size =\"35617792\"]\n  17 -> 32 [size =\"35617792\"]\n  18 [size=\"91315200\", alpha=\"0.08\", expect_size=\"36526080\"] \n  19 [size=\"105525760\", alpha=\"0.03\", expect_size=\"42210304\"] \n  20 [size=\"51115520\", alpha=\"0.13\", expect_size=\"20446208\"] \n  21 [size=\"122688000\", alpha=\"0.07\", expect_size=\"49075200\"] \n  22 [size=\"112284160\", alpha=\"0.10\", expect_size=\"44913664\"] \n  23 [size=\"37749760\", alpha=\"0.18\", expect_size=\"15099904\"] \n  24 [size=\"63060480\", alpha=\"0.17\", expect_size=\"25224192\"] \n  25 [size=\"107671040\", alpha=\"0.12\", expect_size=\"43068416\"] \n  26 [size=\"124679680\", alpha=\"0.06\", expect_size=\"49871872\"] \n  27 [size=\"19758080\", alpha=\"0.13\", expect_size=\"7903232\"] \n  28 [size=\"76339200\", alpha=\"0.15\", expect_size=\"30535680\"] \n  29 [size=\"121282560\", alpha=\"0.12\", expect_size=\"48513024\"] \n  30 [size=\"18391040\", alpha=\"0.16\", expect_size=\"7356416\"] \n  31 [size=\"95508480\", alpha=\"0.18\", expect_size=\"38203392\"] \n  32 [size=\"20646400\", alpha=\"0.08\", expect_size=\"8258560\"] \n  33 [size=\"80151040\", alpha=\"0.16\", expect_size=\"32060416\"] \n  34 [size=\"66457600\", alpha=\"0.09\", expect_size=\"26583040\"] \n  35 [size=\"47083520\", alpha=\"0.13\", expect_size=\"18833408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97980416\", alpha=\"0.05\", expect_size=\"48990208\"] \n  1 -> 2 [size =\"48990208\"]\n  1 -> 3 [size =\"48990208\"]\n  2 [size=\"69910528\", alpha=\"0.06\", expect_size=\"34955264\"] \n  3 [size=\"32227328\", alpha=\"0.11\", expect_size=\"16113664\"] \n  3 -> 4 [size =\"16113664\"]\n  4 [size=\"85772288\", alpha=\"0.04\", expect_size=\"42886144\"] \n  4 -> 5 [size =\"42886144\"]\n  4 -> 6 [size =\"42886144\"]\n  5 [size=\"103948288\", alpha=\"0.17\", expect_size=\"51974144\"] \n  5 -> 7 [size =\"51974144\"]\n  5 -> 8 [size =\"51974144\"]\n  6 [size=\"89446400\", alpha=\"0.14\", expect_size=\"44723200\"] \n  6 -> 8 [size =\"44723200\"]\n  7 [size=\"60858368\", alpha=\"0.19\", expect_size=\"30429184\"] \n  7 -> 9 [size =\"30429184\"]\n  7 -> 10 [size =\"30429184\"]\n  8 [size=\"27273216\", alpha=\"0.09\", expect_size=\"13636608\"] \n  8 -> 9 [size =\"13636608\"]\n  8 -> 10 [size =\"13636608\"]\n  9 [size=\"89094144\", alpha=\"0.07\", expect_size=\"44547072\"] \n  9 -> 11 [size =\"44547072\"]\n  10 [size=\"93681664\", alpha=\"0.01\", expect_size=\"46840832\"] \n  10 -> 11 [size =\"46840832\"]\n  11 [size=\"71485440\", alpha=\"0.06\", expect_size=\"35742720\"] \n  11 -> 12 [size =\"35742720\"]\n  11 -> 13 [size =\"35742720\"]\n  12 [size=\"96260096\", alpha=\"0.09\", expect_size=\"48130048\"] \n  12 -> 14 [size =\"48130048\"]\n  12 -> 15 [size =\"48130048\"]\n  13 [size=\"29644800\", alpha=\"0.14\", expect_size=\"14822400\"] \n  13 -> 14 [size =\"14822400\"]\n  13 -> 15 [size =\"14822400\"]\n  14 [size=\"79605760\", alpha=\"0.00\", expect_size=\"39802880\"] \n  14 -> 16 [size =\"39802880\"]\n  15 [size=\"100636672\", alpha=\"0.05\", expect_size=\"50318336\"] \n  15 -> 16 [size =\"50318336\"]\n  16 [size=\"87347200\", alpha=\"0.14\", expect_size=\"43673600\"] \n  16 -> 17 [size =\"43673600\"]\n  17 [size=\"57833472\", alpha=\"0.10\", expect_size=\"28916736\"] \n  17 -> 18 [size =\"28916736\"]\n  17 -> 19 [size =\"28916736\"]\n  18 [size=\"53764096\", alpha=\"0.19\", expect_size=\"26882048\"] \n  18 -> 21 [size =\"26882048\"]\n  19 [size=\"98213888\", alpha=\"0.16\", expect_size=\"49106944\"] \n  19 -> 20 [size =\"49106944\"]\n  19 -> 21 [size =\"49106944\"]\n  20 [size=\"36939776\", alpha=\"0.04\", expect_size=\"18469888\"] \n  20 -> 22 [size =\"18469888\"]\n  20 -> 23 [size =\"18469888\"]\n  21 [size=\"43167744\", alpha=\"0.11\", expect_size=\"21583872\"] \n  22 [size=\"69412864\", alpha=\"0.10\", expect_size=\"34706432\"] \n  22 -> 24 [size =\"34706432\"]\n  22 -> 25 [size =\"34706432\"]\n  23 [size=\"18108416\", alpha=\"0.14\", expect_size=\"9054208\"] \n  23 -> 24 [size =\"9054208\"]\n  23 -> 25 [size =\"9054208\"]\n  24 [size=\"83742720\", alpha=\"0.13\", expect_size=\"41871360\"] \n  24 -> 26 [size =\"41871360\"]\n  25 [size=\"83830784\", alpha=\"0.13\", expect_size=\"41915392\"] \n  25 -> 26 [size =\"41915392\"]\n  26 [size=\"14270464\", alpha=\"0.09\", expect_size=\"7135232\"] \n  26 -> 27 [size =\"7135232\"]\n  26 -> 28 [size =\"7135232\"]\n  27 [size=\"78264320\", alpha=\"0.16\", expect_size=\"39132160\"] \n  28 [size=\"29280256\", alpha=\"0.06\", expect_size=\"14640128\"] \n  28 -> 29 [size =\"14640128\"]\n  29 [size=\"23889920\", alpha=\"0.13\", expect_size=\"11944960\"] \n  29 -> 30 [size =\"11944960\"]\n  29 -> 31 [size =\"11944960\"]\n  30 [size=\"100206592\", alpha=\"0.18\", expect_size=\"50103296\"] \n  30 -> 32 [size =\"50103296\"]\n  30 -> 33 [size =\"50103296\"]\n  31 [size=\"25456640\", alpha=\"0.16\", expect_size=\"12728320\"] \n  31 -> 32 [size =\"12728320\"]\n  31 -> 33 [size =\"12728320\"]\n  32 [size=\"75878400\", alpha=\"0.12\", expect_size=\"37939200\"] \n  32 -> 34 [size =\"37939200\"]\n  33 [size=\"27783168\", alpha=\"0.12\", expect_size=\"13891584\"] \n  33 -> 34 [size =\"13891584\"]\n  33 -> 35 [size =\"13891584\"]\n  34 [size=\"91656192\", alpha=\"0.06\", expect_size=\"45828096\"] \n  35 [size=\"59666432\", alpha=\"0.20\", expect_size=\"29833216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83517440\", alpha=\"0.14\", expect_size=\"33406976\"] \n  1 -> 3 [size =\"33406976\"]\n  1 -> 4 [size =\"33406976\"]\n  2 [size=\"28500480\", alpha=\"0.03\", expect_size=\"11400192\"] \n  3 [size=\"76828160\", alpha=\"0.14\", expect_size=\"30731264\"] \n  4 [size=\"112128000\", alpha=\"0.04\", expect_size=\"44851200\"] \n  4 -> 5 [size =\"44851200\"]\n  5 [size=\"87290880\", alpha=\"0.12\", expect_size=\"34916352\"] \n  5 -> 6 [size =\"34916352\"]\n  6 [size=\"123829760\", alpha=\"0.08\", expect_size=\"49531904\"] \n  6 -> 7 [size =\"49531904\"]\n  6 -> 8 [size =\"49531904\"]\n  7 [size=\"61288960\", alpha=\"0.10\", expect_size=\"24515584\"] \n  7 -> 10 [size =\"24515584\"]\n  8 [size=\"77864960\", alpha=\"0.05\", expect_size=\"31145984\"] \n  8 -> 9 [size =\"31145984\"]\n  9 [size=\"28288000\", alpha=\"0.16\", expect_size=\"11315200\"] \n  9 -> 11 [size =\"11315200\"]\n  9 -> 12 [size =\"11315200\"]\n  10 [size=\"76961280\", alpha=\"0.19\", expect_size=\"30784512\"] \n  10 -> 11 [size =\"30784512\"]\n  11 [size=\"18969600\", alpha=\"0.12\", expect_size=\"7587840\"] \n  12 [size=\"103680000\", alpha=\"0.00\", expect_size=\"41472000\"] \n  12 -> 13 [size =\"41472000\"]\n  13 [size=\"122849280\", alpha=\"0.05\", expect_size=\"49139712\"] \n  13 -> 14 [size =\"49139712\"]\n  14 [size=\"85496320\", alpha=\"0.11\", expect_size=\"34198528\"] \n  14 -> 15 [size =\"34198528\"]\n  15 [size=\"107832320\", alpha=\"0.15\", expect_size=\"43132928\"] \n  15 -> 16 [size =\"43132928\"]\n  15 -> 17 [size =\"43132928\"]\n  16 [size=\"61775360\", alpha=\"0.00\", expect_size=\"24710144\"] \n  16 -> 18 [size =\"24710144\"]\n  17 [size=\"109050880\", alpha=\"0.05\", expect_size=\"43620352\"] \n  17 -> 18 [size =\"43620352\"]\n  18 [size=\"52646400\", alpha=\"0.16\", expect_size=\"21058560\"] \n  18 -> 19 [size =\"21058560\"]\n  18 -> 20 [size =\"21058560\"]\n  19 [size=\"84385280\", alpha=\"0.15\", expect_size=\"33754112\"] \n  19 -> 21 [size =\"33754112\"]\n  20 [size=\"62382080\", alpha=\"0.16\", expect_size=\"24952832\"] \n  21 [size=\"55073280\", alpha=\"0.08\", expect_size=\"22029312\"] \n  21 -> 22 [size =\"22029312\"]\n  22 [size=\"123888640\", alpha=\"0.03\", expect_size=\"49555456\"] \n  22 -> 23 [size =\"49555456\"]\n  23 [size=\"126016000\", alpha=\"0.09\", expect_size=\"50406400\"] \n  23 -> 24 [size =\"50406400\"]\n  23 -> 25 [size =\"50406400\"]\n  24 [size=\"36131840\", alpha=\"0.12\", expect_size=\"14452736\"] \n  24 -> 26 [size =\"14452736\"]\n  24 -> 27 [size =\"14452736\"]\n  25 [size=\"101900800\", alpha=\"0.07\", expect_size=\"40760320\"] \n  25 -> 26 [size =\"40760320\"]\n  26 [size=\"73059840\", alpha=\"0.01\", expect_size=\"29223936\"] \n  27 [size=\"74736640\", alpha=\"0.03\", expect_size=\"29894656\"] \n  27 -> 28 [size =\"29894656\"]\n  28 [size=\"102937600\", alpha=\"0.16\", expect_size=\"41175040\"] \n  28 -> 29 [size =\"41175040\"]\n  28 -> 30 [size =\"41175040\"]\n  29 [size=\"78417920\", alpha=\"0.11\", expect_size=\"31367168\"] \n  29 -> 31 [size =\"31367168\"]\n  30 [size=\"51409920\", alpha=\"0.18\", expect_size=\"20563968\"] \n  31 [size=\"26928640\", alpha=\"0.05\", expect_size=\"10771456\"] \n  31 -> 32 [size =\"10771456\"]\n  32 [size=\"75386880\", alpha=\"0.08\", expect_size=\"30154752\"] \n  32 -> 33 [size =\"30154752\"]\n  33 [size=\"94213120\", alpha=\"0.10\", expect_size=\"37685248\"] \n  33 -> 34 [size =\"37685248\"]\n  33 -> 35 [size =\"37685248\"]\n  34 [size=\"29168640\", alpha=\"0.03\", expect_size=\"11667456\"] \n  35 [size=\"97233920\", alpha=\"0.13\", expect_size=\"38893568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15680000\", alpha=\"0.11\", expect_size=\"6272000\"] \n  1 -> 3 [size =\"6272000\"]\n  2 [size=\"24163840\", alpha=\"0.00\", expect_size=\"9665536\"] \n  2 -> 3 [size =\"9665536\"]\n  3 [size=\"25768960\", alpha=\"0.15\", expect_size=\"10307584\"] \n  3 -> 4 [size =\"10307584\"]\n  4 [size=\"25725440\", alpha=\"0.03\", expect_size=\"10290176\"] \n  4 -> 5 [size =\"10290176\"]\n  4 -> 6 [size =\"10290176\"]\n  5 [size=\"112647680\", alpha=\"0.18\", expect_size=\"45059072\"] \n  5 -> 7 [size =\"45059072\"]\n  6 [size=\"65146880\", alpha=\"0.16\", expect_size=\"26058752\"] \n  6 -> 7 [size =\"26058752\"]\n  7 [size=\"91870720\", alpha=\"0.12\", expect_size=\"36748288\"] \n  7 -> 8 [size =\"36748288\"]\n  7 -> 9 [size =\"36748288\"]\n  8 [size=\"123112960\", alpha=\"0.15\", expect_size=\"49245184\"] \n  8 -> 10 [size =\"49245184\"]\n  8 -> 11 [size =\"49245184\"]\n  9 [size=\"33845760\", alpha=\"0.07\", expect_size=\"13538304\"] \n  9 -> 10 [size =\"13538304\"]\n  9 -> 11 [size =\"13538304\"]\n  10 [size=\"129139200\", alpha=\"0.08\", expect_size=\"51655680\"] \n  10 -> 13 [size =\"51655680\"]\n  11 [size=\"87416320\", alpha=\"0.03\", expect_size=\"34966528\"] \n  11 -> 12 [size =\"34966528\"]\n  11 -> 13 [size =\"34966528\"]\n  12 [size=\"34475520\", alpha=\"0.16\", expect_size=\"13790208\"] \n  12 -> 14 [size =\"13790208\"]\n  13 [size=\"36421120\", alpha=\"0.12\", expect_size=\"14568448\"] \n  13 -> 14 [size =\"14568448\"]\n  13 -> 15 [size =\"14568448\"]\n  14 [size=\"126909440\", alpha=\"0.14\", expect_size=\"50763776\"] \n  14 -> 16 [size =\"50763776\"]\n  15 [size=\"29173760\", alpha=\"0.04\", expect_size=\"11669504\"] \n  15 -> 16 [size =\"11669504\"]\n  16 [size=\"17671680\", alpha=\"0.05\", expect_size=\"7068672\"] \n  16 -> 17 [size =\"7068672\"]\n  16 -> 18 [size =\"7068672\"]\n  17 [size=\"114767360\", alpha=\"0.01\", expect_size=\"45906944\"] \n  17 -> 19 [size =\"45906944\"]\n  17 -> 20 [size =\"45906944\"]\n  18 [size=\"69542400\", alpha=\"0.12\", expect_size=\"27816960\"] \n  18 -> 20 [size =\"27816960\"]\n  19 [size=\"38891520\", alpha=\"0.05\", expect_size=\"15556608\"] \n  19 -> 21 [size =\"15556608\"]\n  20 [size=\"79951360\", alpha=\"0.15\", expect_size=\"31980544\"] \n  20 -> 21 [size =\"31980544\"]\n  21 [size=\"127690240\", alpha=\"0.05\", expect_size=\"51076096\"] \n  21 -> 22 [size =\"51076096\"]\n  21 -> 23 [size =\"51076096\"]\n  22 [size=\"27914240\", alpha=\"0.18\", expect_size=\"11165696\"] \n  22 -> 24 [size =\"11165696\"]\n  23 [size=\"121093120\", alpha=\"0.12\", expect_size=\"48437248\"] \n  23 -> 24 [size =\"48437248\"]\n  24 [size=\"71206400\", alpha=\"0.09\", expect_size=\"28482560\"] \n  24 -> 25 [size =\"28482560\"]\n  25 [size=\"36979200\", alpha=\"0.03\", expect_size=\"14791680\"] \n  25 -> 26 [size =\"14791680\"]\n  26 [size=\"62300160\", alpha=\"0.05\", expect_size=\"24920064\"] \n  26 -> 27 [size =\"24920064\"]\n  26 -> 28 [size =\"24920064\"]\n  27 [size=\"89093120\", alpha=\"0.01\", expect_size=\"35637248\"] \n  27 -> 29 [size =\"35637248\"]\n  27 -> 30 [size =\"35637248\"]\n  28 [size=\"94553600\", alpha=\"0.15\", expect_size=\"37821440\"] \n  28 -> 29 [size =\"37821440\"]\n  29 [size=\"45690880\", alpha=\"0.13\", expect_size=\"18276352\"] \n  29 -> 32 [size =\"18276352\"]\n  30 [size=\"72844800\", alpha=\"0.11\", expect_size=\"29137920\"] \n  30 -> 31 [size =\"29137920\"]\n  30 -> 32 [size =\"29137920\"]\n  31 [size=\"41687040\", alpha=\"0.01\", expect_size=\"16674816\"] \n  31 -> 33 [size =\"16674816\"]\n  32 [size=\"72757760\", alpha=\"0.15\", expect_size=\"29103104\"] \n  32 -> 33 [size =\"29103104\"]\n  33 [size=\"59148800\", alpha=\"0.13\", expect_size=\"23659520\"] \n  33 -> 34 [size =\"23659520\"]\n  33 -> 35 [size =\"23659520\"]\n  34 [size=\"13524480\", alpha=\"0.10\", expect_size=\"5409792\"] \n  35 [size=\"66467840\", alpha=\"0.09\", expect_size=\"26587136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59521707\", alpha=\"0.00\", expect_size=\"17856512\"] \n  1 -> 3 [size =\"17856512\"]\n  2 [size=\"100126720\", alpha=\"0.11\", expect_size=\"30038016\"] \n  2 -> 4 [size =\"30038016\"]\n  3 [size=\"163054933\", alpha=\"0.09\", expect_size=\"48916480\"] \n  4 [size=\"20732587\", alpha=\"0.02\", expect_size=\"6219776\"] \n  4 -> 5 [size =\"6219776\"]\n  4 -> 6 [size =\"6219776\"]\n  5 [size=\"101539840\", alpha=\"0.07\", expect_size=\"30461952\"] \n  5 -> 8 [size =\"30461952\"]\n  6 [size=\"50810880\", alpha=\"0.09\", expect_size=\"15243264\"] \n  6 -> 7 [size =\"15243264\"]\n  7 [size=\"56681813\", alpha=\"0.16\", expect_size=\"17004544\"] \n  7 -> 9 [size =\"17004544\"]\n  8 [size=\"154839040\", alpha=\"0.12\", expect_size=\"46451712\"] \n  9 [size=\"94242133\", alpha=\"0.12\", expect_size=\"28272640\"] \n  9 -> 10 [size =\"28272640\"]\n  9 -> 11 [size =\"28272640\"]\n  10 [size=\"38539947\", alpha=\"0.06\", expect_size=\"11561984\"] \n  10 -> 13 [size =\"11561984\"]\n  11 [size=\"150603093\", alpha=\"0.05\", expect_size=\"45180928\"] \n  11 -> 12 [size =\"45180928\"]\n  12 [size=\"151364267\", alpha=\"0.16\", expect_size=\"45409280\"] \n  13 [size=\"83845120\", alpha=\"0.12\", expect_size=\"25153536\"] \n  13 -> 14 [size =\"25153536\"]\n  14 [size=\"151971840\", alpha=\"0.03\", expect_size=\"45591552\"] \n  14 -> 15 [size =\"45591552\"]\n  15 [size=\"168977067\", alpha=\"0.11\", expect_size=\"50693120\"] \n  15 -> 16 [size =\"50693120\"]\n  16 [size=\"67082240\", alpha=\"0.16\", expect_size=\"20124672\"] \n  16 -> 17 [size =\"20124672\"]\n  17 [size=\"138574507\", alpha=\"0.08\", expect_size=\"41572352\"] \n  17 -> 18 [size =\"41572352\"]\n  17 -> 19 [size =\"41572352\"]\n  18 [size=\"104878080\", alpha=\"0.12\", expect_size=\"31463424\"] \n  18 -> 21 [size =\"31463424\"]\n  19 [size=\"44523520\", alpha=\"0.00\", expect_size=\"13357056\"] \n  19 -> 20 [size =\"13357056\"]\n  20 [size=\"137704107\", alpha=\"0.02\", expect_size=\"41311232\"] \n  20 -> 22 [size =\"41311232\"]\n  20 -> 23 [size =\"41311232\"]\n  21 [size=\"25565867\", alpha=\"0.09\", expect_size=\"7669760\"] \n  22 [size=\"61125973\", alpha=\"0.06\", expect_size=\"18337792\"] \n  22 -> 24 [size =\"18337792\"]\n  22 -> 25 [size =\"18337792\"]\n  23 [size=\"28477440\", alpha=\"0.03\", expect_size=\"8543232\"] \n  24 [size=\"123105280\", alpha=\"0.19\", expect_size=\"36931584\"] \n  25 [size=\"143650133\", alpha=\"0.06\", expect_size=\"43095040\"] \n  25 -> 26 [size =\"43095040\"]\n  26 [size=\"71417173\", alpha=\"0.18\", expect_size=\"21425152\"] \n  26 -> 27 [size =\"21425152\"]\n  26 -> 28 [size =\"21425152\"]\n  27 [size=\"36048213\", alpha=\"0.14\", expect_size=\"10814464\"] \n  28 [size=\"100747947\", alpha=\"0.08\", expect_size=\"30224384\"] \n  28 -> 29 [size =\"30224384\"]\n  28 -> 30 [size =\"30224384\"]\n  29 [size=\"41314987\", alpha=\"0.12\", expect_size=\"12394496\"] \n  29 -> 32 [size =\"12394496\"]\n  30 [size=\"41960107\", alpha=\"0.18\", expect_size=\"12588032\"] \n  30 -> 31 [size =\"12588032\"]\n  31 [size=\"56224427\", alpha=\"0.01\", expect_size=\"16867328\"] \n  32 [size=\"126156800\", alpha=\"0.02\", expect_size=\"37847040\"] \n  32 -> 33 [size =\"37847040\"]\n  32 -> 34 [size =\"37847040\"]\n  33 [size=\"19841707\", alpha=\"0.10\", expect_size=\"5952512\"] \n  33 -> 35 [size =\"5952512\"]\n  34 [size=\"40140800\", alpha=\"0.16\", expect_size=\"12042240\"] \n  35 [size=\"33024000\", alpha=\"0.01\", expect_size=\"9907200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21917696\", alpha=\"0.19\", expect_size=\"10958848\"] \n  1 -> 2 [size =\"10958848\"]\n  2 [size=\"39120896\", alpha=\"0.00\", expect_size=\"19560448\"] \n  2 -> 3 [size =\"19560448\"]\n  3 [size=\"23848960\", alpha=\"0.17\", expect_size=\"11924480\"] \n  3 -> 4 [size =\"11924480\"]\n  4 [size=\"63467520\", alpha=\"0.09\", expect_size=\"31733760\"] \n  4 -> 5 [size =\"31733760\"]\n  5 [size=\"93900800\", alpha=\"0.10\", expect_size=\"46950400\"] \n  5 -> 6 [size =\"46950400\"]\n  6 [size=\"46551040\", alpha=\"0.17\", expect_size=\"23275520\"] \n  6 -> 7 [size =\"23275520\"]\n  7 [size=\"76838912\", alpha=\"0.17\", expect_size=\"38419456\"] \n  7 -> 8 [size =\"38419456\"]\n  8 [size=\"76531712\", alpha=\"0.12\", expect_size=\"38265856\"] \n  8 -> 9 [size =\"38265856\"]\n  9 [size=\"72833024\", alpha=\"0.17\", expect_size=\"36416512\"] \n  9 -> 10 [size =\"36416512\"]\n  10 [size=\"62541824\", alpha=\"0.03\", expect_size=\"31270912\"] \n  10 -> 11 [size =\"31270912\"]\n  11 [size=\"100739072\", alpha=\"0.02\", expect_size=\"50369536\"] \n  11 -> 12 [size =\"50369536\"]\n  12 [size=\"95264768\", alpha=\"0.13\", expect_size=\"47632384\"] \n  12 -> 13 [size =\"47632384\"]\n  13 [size=\"95485952\", alpha=\"0.14\", expect_size=\"47742976\"] \n  13 -> 14 [size =\"47742976\"]\n  14 [size=\"82907136\", alpha=\"0.15\", expect_size=\"41453568\"] \n  14 -> 15 [size =\"41453568\"]\n  15 [size=\"30222336\", alpha=\"0.10\", expect_size=\"15111168\"] \n  15 -> 16 [size =\"15111168\"]\n  16 [size=\"78780416\", alpha=\"0.02\", expect_size=\"39390208\"] \n  16 -> 17 [size =\"39390208\"]\n  17 [size=\"66371584\", alpha=\"0.18\", expect_size=\"33185792\"] \n  17 -> 18 [size =\"33185792\"]\n  18 [size=\"50055168\", alpha=\"0.03\", expect_size=\"25027584\"] \n  18 -> 19 [size =\"25027584\"]\n  19 [size=\"13484032\", alpha=\"0.19\", expect_size=\"6742016\"] \n  19 -> 20 [size =\"6742016\"]\n  20 [size=\"91607040\", alpha=\"0.15\", expect_size=\"45803520\"] \n  20 -> 21 [size =\"45803520\"]\n  21 [size=\"11839488\", alpha=\"0.14\", expect_size=\"5919744\"] \n  21 -> 22 [size =\"5919744\"]\n  22 [size=\"20508672\", alpha=\"0.18\", expect_size=\"10254336\"] \n  22 -> 23 [size =\"10254336\"]\n  23 [size=\"83410944\", alpha=\"0.06\", expect_size=\"41705472\"] \n  23 -> 24 [size =\"41705472\"]\n  24 [size=\"52856832\", alpha=\"0.04\", expect_size=\"26428416\"] \n  24 -> 25 [size =\"26428416\"]\n  25 [size=\"31012864\", alpha=\"0.01\", expect_size=\"15506432\"] \n  25 -> 26 [size =\"15506432\"]\n  26 [size=\"79792128\", alpha=\"0.05\", expect_size=\"39896064\"] \n  26 -> 27 [size =\"39896064\"]\n  27 [size=\"89280512\", alpha=\"0.03\", expect_size=\"44640256\"] \n  27 -> 28 [size =\"44640256\"]\n  28 [size=\"80324608\", alpha=\"0.15\", expect_size=\"40162304\"] \n  28 -> 29 [size =\"40162304\"]\n  29 [size=\"96249856\", alpha=\"0.20\", expect_size=\"48124928\"] \n  29 -> 30 [size =\"48124928\"]\n  30 [size=\"92092416\", alpha=\"0.16\", expect_size=\"46046208\"] \n  30 -> 31 [size =\"46046208\"]\n  31 [size=\"69513216\", alpha=\"0.12\", expect_size=\"34756608\"] \n  31 -> 32 [size =\"34756608\"]\n  32 [size=\"39942144\", alpha=\"0.05\", expect_size=\"19971072\"] \n  32 -> 33 [size =\"19971072\"]\n  33 [size=\"32016384\", alpha=\"0.16\", expect_size=\"16008192\"] \n  33 -> 34 [size =\"16008192\"]\n  34 [size=\"59101184\", alpha=\"0.03\", expect_size=\"29550592\"] \n  34 -> 35 [size =\"29550592\"]\n  35 [size=\"79808512\", alpha=\"0.14\", expect_size=\"39904256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32610304\", alpha=\"0.05\", expect_size=\"16305152\"] \n  1 -> 8 [size =\"16305152\"]\n  2 [size=\"73943040\", alpha=\"0.11\", expect_size=\"36971520\"] \n  2 -> 8 [size =\"36971520\"]\n  2 -> 9 [size =\"36971520\"]\n  3 [size=\"57716736\", alpha=\"0.14\", expect_size=\"28858368\"] \n  3 -> 6 [size =\"28858368\"]\n  3 -> 9 [size =\"28858368\"]\n  4 [size=\"101668864\", alpha=\"0.10\", expect_size=\"50834432\"] \n  4 -> 7 [size =\"50834432\"]\n  4 -> 8 [size =\"50834432\"]\n  5 [size=\"102045696\", alpha=\"0.09\", expect_size=\"51022848\"] \n  5 -> 7 [size =\"51022848\"]\n  5 -> 9 [size =\"51022848\"]\n  6 [size=\"50720768\", alpha=\"0.08\", expect_size=\"25360384\"] \n  6 -> 10 [size =\"25360384\"]\n  6 -> 11 [size =\"25360384\"]\n  7 [size=\"75184128\", alpha=\"0.03\", expect_size=\"37592064\"] \n  8 [size=\"53630976\", alpha=\"0.09\", expect_size=\"26815488\"] \n  9 [size=\"74133504\", alpha=\"0.09\", expect_size=\"37066752\"] \n  9 -> 12 [size =\"37066752\"]\n  10 [size=\"79044608\", alpha=\"0.14\", expect_size=\"39522304\"] \n  10 -> 15 [size =\"39522304\"]\n  10 -> 16 [size =\"39522304\"]\n  11 [size=\"55314432\", alpha=\"0.01\", expect_size=\"27657216\"] \n  11 -> 14 [size =\"27657216\"]\n  11 -> 16 [size =\"27657216\"]\n  11 -> 17 [size =\"27657216\"]\n  12 [size=\"79720448\", alpha=\"0.02\", expect_size=\"39860224\"] \n  12 -> 13 [size =\"39860224\"]\n  12 -> 15 [size =\"39860224\"]\n  12 -> 17 [size =\"39860224\"]\n  13 [size=\"38699008\", alpha=\"0.16\", expect_size=\"19349504\"] \n  13 -> 21 [size =\"19349504\"]\n  13 -> 22 [size =\"19349504\"]\n  13 -> 23 [size =\"19349504\"]\n  14 [size=\"103233536\", alpha=\"0.12\", expect_size=\"51616768\"] \n  14 -> 21 [size =\"51616768\"]\n  14 -> 24 [size =\"51616768\"]\n  15 [size=\"54067200\", alpha=\"0.17\", expect_size=\"27033600\"] \n  15 -> 18 [size =\"27033600\"]\n  15 -> 19 [size =\"27033600\"]\n  15 -> 21 [size =\"27033600\"]\n  15 -> 22 [size =\"27033600\"]\n  15 -> 23 [size =\"27033600\"]\n  15 -> 24 [size =\"27033600\"]\n  16 [size=\"97660928\", alpha=\"0.06\", expect_size=\"48830464\"] \n  16 -> 18 [size =\"48830464\"]\n  16 -> 21 [size =\"48830464\"]\n  16 -> 22 [size =\"48830464\"]\n  16 -> 23 [size =\"48830464\"]\n  17 [size=\"38885376\", alpha=\"0.19\", expect_size=\"19442688\"] \n  17 -> 18 [size =\"19442688\"]\n  17 -> 19 [size =\"19442688\"]\n  17 -> 20 [size =\"19442688\"]\n  17 -> 22 [size =\"19442688\"]\n  18 [size=\"53030912\", alpha=\"0.06\", expect_size=\"26515456\"] \n  18 -> 25 [size =\"26515456\"]\n  19 [size=\"97404928\", alpha=\"0.05\", expect_size=\"48702464\"] \n  19 -> 26 [size =\"48702464\"]\n  20 [size=\"44783616\", alpha=\"0.09\", expect_size=\"22391808\"] \n  21 [size=\"17954816\", alpha=\"0.19\", expect_size=\"8977408\"] \n  21 -> 26 [size =\"8977408\"]\n  22 [size=\"24979456\", alpha=\"0.01\", expect_size=\"12489728\"] \n  22 -> 26 [size =\"12489728\"]\n  23 [size=\"34437120\", alpha=\"0.14\", expect_size=\"17218560\"] \n  23 -> 26 [size =\"17218560\"]\n  24 [size=\"14561280\", alpha=\"0.06\", expect_size=\"7280640\"] \n  24 -> 25 [size =\"7280640\"]\n  25 [size=\"72714240\", alpha=\"0.18\", expect_size=\"36357120\"] \n  25 -> 27 [size =\"36357120\"]\n  25 -> 28 [size =\"36357120\"]\n  25 -> 29 [size =\"36357120\"]\n  26 [size=\"58499072\", alpha=\"0.17\", expect_size=\"29249536\"] \n  26 -> 29 [size =\"29249536\"]\n  27 [size=\"88072192\", alpha=\"0.11\", expect_size=\"44036096\"] \n  27 -> 30 [size =\"44036096\"]\n  27 -> 32 [size =\"44036096\"]\n  28 [size=\"85282816\", alpha=\"0.14\", expect_size=\"42641408\"] \n  28 -> 31 [size =\"42641408\"]\n  29 [size=\"17088512\", alpha=\"0.10\", expect_size=\"8544256\"] \n  29 -> 30 [size =\"8544256\"]\n  30 [size=\"39909376\", alpha=\"0.01\", expect_size=\"19954688\"] \n  30 -> 35 [size =\"19954688\"]\n  31 [size=\"84234240\", alpha=\"0.01\", expect_size=\"42117120\"] \n  31 -> 33 [size =\"42117120\"]\n  31 -> 34 [size =\"42117120\"]\n  31 -> 35 [size =\"42117120\"]\n  32 [size=\"77817856\", alpha=\"0.16\", expect_size=\"38908928\"] \n  32 -> 35 [size =\"38908928\"]\n  33 [size=\"84115456\", alpha=\"0.17\", expect_size=\"42057728\"] \n  34 [size=\"55990272\", alpha=\"0.18\", expect_size=\"27995136\"] \n  35 [size=\"84625408\", alpha=\"0.08\", expect_size=\"42312704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143373653\", alpha=\"0.20\", expect_size=\"43012096\"] \n  1 -> 11 [size =\"43012096\"]\n  1 -> 13 [size =\"43012096\"]\n  1 -> 16 [size =\"43012096\"]\n  1 -> 17 [size =\"43012096\"]\n  1 -> 18 [size =\"43012096\"]\n  1 -> 19 [size =\"43012096\"]\n  1 -> 21 [size =\"43012096\"]\n  1 -> 23 [size =\"43012096\"]\n  2 [size=\"94324053\", alpha=\"0.07\", expect_size=\"28297216\"] \n  2 -> 11 [size =\"28297216\"]\n  2 -> 12 [size =\"28297216\"]\n  2 -> 14 [size =\"28297216\"]\n  2 -> 15 [size =\"28297216\"]\n  2 -> 17 [size =\"28297216\"]\n  2 -> 21 [size =\"28297216\"]\n  3 [size=\"160215040\", alpha=\"0.12\", expect_size=\"48064512\"] \n  3 -> 15 [size =\"48064512\"]\n  3 -> 21 [size =\"48064512\"]\n  3 -> 23 [size =\"48064512\"]\n  4 [size=\"92890453\", alpha=\"0.11\", expect_size=\"27867136\"] \n  4 -> 15 [size =\"27867136\"]\n  4 -> 17 [size =\"27867136\"]\n  4 -> 20 [size =\"27867136\"]\n  4 -> 22 [size =\"27867136\"]\n  5 [size=\"162993493\", alpha=\"0.15\", expect_size=\"48898048\"] \n  5 -> 14 [size =\"48898048\"]\n  5 -> 17 [size =\"48898048\"]\n  5 -> 22 [size =\"48898048\"]\n  6 [size=\"152654507\", alpha=\"0.03\", expect_size=\"45796352\"] \n  6 -> 17 [size =\"45796352\"]\n  6 -> 19 [size =\"45796352\"]\n  6 -> 21 [size =\"45796352\"]\n  6 -> 23 [size =\"45796352\"]\n  7 [size=\"109834240\", alpha=\"0.05\", expect_size=\"32950272\"] \n  7 -> 11 [size =\"32950272\"]\n  7 -> 15 [size =\"32950272\"]\n  7 -> 17 [size =\"32950272\"]\n  7 -> 22 [size =\"32950272\"]\n  8 [size=\"79807147\", alpha=\"0.06\", expect_size=\"23942144\"] \n  8 -> 14 [size =\"23942144\"]\n  8 -> 23 [size =\"23942144\"]\n  9 [size=\"31662080\", alpha=\"0.16\", expect_size=\"9498624\"] \n  9 -> 13 [size =\"9498624\"]\n  9 -> 15 [size =\"9498624\"]\n  9 -> 19 [size =\"9498624\"]\n  9 -> 23 [size =\"9498624\"]\n  10 [size=\"128597333\", alpha=\"0.09\", expect_size=\"38579200\"] \n  10 -> 11 [size =\"38579200\"]\n  10 -> 13 [size =\"38579200\"]\n  11 [size=\"101399893\", alpha=\"0.16\", expect_size=\"30419968\"] \n  11 -> 26 [size =\"30419968\"]\n  11 -> 27 [size =\"30419968\"]\n  11 -> 28 [size =\"30419968\"]\n  11 -> 29 [size =\"30419968\"]\n  11 -> 30 [size =\"30419968\"]\n  11 -> 31 [size =\"30419968\"]\n  11 -> 32 [size =\"30419968\"]\n  11 -> 33 [size =\"30419968\"]\n  11 -> 35 [size =\"30419968\"]\n  12 [size=\"101314560\", alpha=\"0.04\", expect_size=\"30394368\"] \n  12 -> 24 [size =\"30394368\"]\n  12 -> 27 [size =\"30394368\"]\n  12 -> 28 [size =\"30394368\"]\n  12 -> 31 [size =\"30394368\"]\n  13 [size=\"159016960\", alpha=\"0.01\", expect_size=\"47705088\"] \n  13 -> 25 [size =\"47705088\"]\n  13 -> 27 [size =\"47705088\"]\n  13 -> 28 [size =\"47705088\"]\n  13 -> 30 [size =\"47705088\"]\n  13 -> 31 [size =\"47705088\"]\n  13 -> 32 [size =\"47705088\"]\n  14 [size=\"94771200\", alpha=\"0.04\", expect_size=\"28431360\"] \n  14 -> 27 [size =\"28431360\"]\n  14 -> 28 [size =\"28431360\"]\n  14 -> 30 [size =\"28431360\"]\n  14 -> 32 [size =\"28431360\"]\n  14 -> 35 [size =\"28431360\"]\n  15 [size=\"25552213\", alpha=\"0.15\", expect_size=\"7665664\"] \n  15 -> 24 [size =\"7665664\"]\n  15 -> 26 [size =\"7665664\"]\n  15 -> 27 [size =\"7665664\"]\n  15 -> 29 [size =\"7665664\"]\n  15 -> 30 [size =\"7665664\"]\n  15 -> 33 [size =\"7665664\"]\n  15 -> 35 [size =\"7665664\"]\n  16 [size=\"139813547\", alpha=\"0.19\", expect_size=\"41944064\"] \n  16 -> 25 [size =\"41944064\"]\n  16 -> 34 [size =\"41944064\"]\n  17 [size=\"161996800\", alpha=\"0.12\", expect_size=\"48599040\"] \n  17 -> 26 [size =\"48599040\"]\n  17 -> 28 [size =\"48599040\"]\n  17 -> 32 [size =\"48599040\"]\n  17 -> 33 [size =\"48599040\"]\n  17 -> 35 [size =\"48599040\"]\n  18 [size=\"40144213\", alpha=\"0.11\", expect_size=\"12043264\"] \n  18 -> 25 [size =\"12043264\"]\n  18 -> 28 [size =\"12043264\"]\n  18 -> 32 [size =\"12043264\"]\n  19 [size=\"90842453\", alpha=\"0.18\", expect_size=\"27252736\"] \n  19 -> 25 [size =\"27252736\"]\n  19 -> 26 [size =\"27252736\"]\n  19 -> 28 [size =\"27252736\"]\n  19 -> 29 [size =\"27252736\"]\n  19 -> 30 [size =\"27252736\"]\n  19 -> 32 [size =\"27252736\"]\n  20 [size=\"60709547\", alpha=\"0.12\", expect_size=\"18212864\"] \n  20 -> 25 [size =\"18212864\"]\n  20 -> 26 [size =\"18212864\"]\n  20 -> 29 [size =\"18212864\"]\n  20 -> 30 [size =\"18212864\"]\n  20 -> 31 [size =\"18212864\"]\n  21 [size=\"133222400\", alpha=\"0.03\", expect_size=\"39966720\"] \n  21 -> 24 [size =\"39966720\"]\n  21 -> 25 [size =\"39966720\"]\n  21 -> 26 [size =\"39966720\"]\n  21 -> 27 [size =\"39966720\"]\n  21 -> 32 [size =\"39966720\"]\n  22 [size=\"103079253\", alpha=\"0.03\", expect_size=\"30923776\"] \n  22 -> 24 [size =\"30923776\"]\n  22 -> 25 [size =\"30923776\"]\n  22 -> 26 [size =\"30923776\"]\n  22 -> 27 [size =\"30923776\"]\n  22 -> 29 [size =\"30923776\"]\n  22 -> 31 [size =\"30923776\"]\n  22 -> 32 [size =\"30923776\"]\n  23 [size=\"131368960\", alpha=\"0.02\", expect_size=\"39410688\"] \n  23 -> 24 [size =\"39410688\"]\n  23 -> 27 [size =\"39410688\"]\n  23 -> 28 [size =\"39410688\"]\n  23 -> 29 [size =\"39410688\"]\n  23 -> 30 [size =\"39410688\"]\n  23 -> 35 [size =\"39410688\"]\n  24 [size=\"141882027\", alpha=\"0.10\", expect_size=\"42564608\"] \n  25 [size=\"174411093\", alpha=\"0.17\", expect_size=\"52323328\"] \n  26 [size=\"138437973\", alpha=\"0.01\", expect_size=\"41531392\"] \n  27 [size=\"128293547\", alpha=\"0.16\", expect_size=\"38488064\"] \n  28 [size=\"63764480\", alpha=\"0.20\", expect_size=\"19129344\"] \n  29 [size=\"147094187\", alpha=\"0.05\", expect_size=\"44128256\"] \n  30 [size=\"130027520\", alpha=\"0.04\", expect_size=\"39008256\"] \n  31 [size=\"70604800\", alpha=\"0.15\", expect_size=\"21181440\"] \n  32 [size=\"94726827\", alpha=\"0.15\", expect_size=\"28418048\"] \n  33 [size=\"121958400\", alpha=\"0.14\", expect_size=\"36587520\"] \n  34 [size=\"137748480\", alpha=\"0.03\", expect_size=\"41324544\"] \n  35 [size=\"60231680\", alpha=\"0.12\", expect_size=\"18069504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118121813\", alpha=\"0.16\", expect_size=\"35436544\"] \n  1 -> 2 [size =\"35436544\"]\n  2 [size=\"112465920\", alpha=\"0.08\", expect_size=\"33739776\"] \n  2 -> 3 [size =\"33739776\"]\n  3 [size=\"98150400\", alpha=\"0.13\", expect_size=\"29445120\"] \n  3 -> 4 [size =\"29445120\"]\n  4 [size=\"58419200\", alpha=\"0.10\", expect_size=\"17525760\"] \n  4 -> 5 [size =\"17525760\"]\n  5 [size=\"126457173\", alpha=\"0.15\", expect_size=\"37937152\"] \n  5 -> 6 [size =\"37937152\"]\n  6 [size=\"46854827\", alpha=\"0.09\", expect_size=\"14056448\"] \n  6 -> 7 [size =\"14056448\"]\n  7 [size=\"57446400\", alpha=\"0.17\", expect_size=\"17233920\"] \n  7 -> 8 [size =\"17233920\"]\n  8 [size=\"121593173\", alpha=\"0.17\", expect_size=\"36477952\"] \n  8 -> 9 [size =\"36477952\"]\n  9 [size=\"52063573\", alpha=\"0.05\", expect_size=\"15619072\"] \n  9 -> 10 [size =\"15619072\"]\n  10 [size=\"75028480\", alpha=\"0.13\", expect_size=\"22508544\"] \n  10 -> 11 [size =\"22508544\"]\n  11 [size=\"89084587\", alpha=\"0.20\", expect_size=\"26725376\"] \n  11 -> 12 [size =\"26725376\"]\n  12 [size=\"58125653\", alpha=\"0.06\", expect_size=\"17437696\"] \n  12 -> 13 [size =\"17437696\"]\n  13 [size=\"118476800\", alpha=\"0.00\", expect_size=\"35543040\"] \n  13 -> 14 [size =\"35543040\"]\n  14 [size=\"66580480\", alpha=\"0.15\", expect_size=\"19974144\"] \n  14 -> 15 [size =\"19974144\"]\n  15 [size=\"148271787\", alpha=\"0.06\", expect_size=\"44481536\"] \n  15 -> 16 [size =\"44481536\"]\n  16 [size=\"112250880\", alpha=\"0.02\", expect_size=\"33675264\"] \n  16 -> 17 [size =\"33675264\"]\n  17 [size=\"29399040\", alpha=\"0.18\", expect_size=\"8819712\"] \n  17 -> 18 [size =\"8819712\"]\n  18 [size=\"160935253\", alpha=\"0.19\", expect_size=\"48280576\"] \n  18 -> 19 [size =\"48280576\"]\n  19 [size=\"133580800\", alpha=\"0.18\", expect_size=\"40074240\"] \n  19 -> 20 [size =\"40074240\"]\n  20 [size=\"19449173\", alpha=\"0.06\", expect_size=\"5834752\"] \n  20 -> 21 [size =\"5834752\"]\n  21 [size=\"122675200\", alpha=\"0.07\", expect_size=\"36802560\"] \n  21 -> 22 [size =\"36802560\"]\n  22 [size=\"119650987\", alpha=\"0.20\", expect_size=\"35895296\"] \n  22 -> 23 [size =\"35895296\"]\n  23 [size=\"164430507\", alpha=\"0.03\", expect_size=\"49329152\"] \n  23 -> 24 [size =\"49329152\"]\n  24 [size=\"165355520\", alpha=\"0.11\", expect_size=\"49606656\"] \n  24 -> 25 [size =\"49606656\"]\n  25 [size=\"129573547\", alpha=\"0.13\", expect_size=\"38872064\"] \n  25 -> 26 [size =\"38872064\"]\n  26 [size=\"18981547\", alpha=\"0.19\", expect_size=\"5694464\"] \n  26 -> 27 [size =\"5694464\"]\n  27 [size=\"36328107\", alpha=\"0.10\", expect_size=\"10898432\"] \n  27 -> 28 [size =\"10898432\"]\n  28 [size=\"19862187\", alpha=\"0.14\", expect_size=\"5958656\"] \n  28 -> 29 [size =\"5958656\"]\n  29 [size=\"165700267\", alpha=\"0.03\", expect_size=\"49710080\"] \n  29 -> 30 [size =\"49710080\"]\n  30 [size=\"150196907\", alpha=\"0.19\", expect_size=\"45059072\"] \n  30 -> 31 [size =\"45059072\"]\n  31 [size=\"39819947\", alpha=\"0.04\", expect_size=\"11945984\"] \n  31 -> 32 [size =\"11945984\"]\n  32 [size=\"92504747\", alpha=\"0.14\", expect_size=\"27751424\"] \n  32 -> 33 [size =\"27751424\"]\n  33 [size=\"88664747\", alpha=\"0.17\", expect_size=\"26599424\"] \n  33 -> 34 [size =\"26599424\"]\n  34 [size=\"108980907\", alpha=\"0.06\", expect_size=\"32694272\"] \n  34 -> 35 [size =\"32694272\"]\n  35 [size=\"37102933\", alpha=\"0.12\", expect_size=\"11130880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169540267\", alpha=\"0.01\", expect_size=\"50862080\"] \n  1 -> 2 [size =\"50862080\"]\n  2 [size=\"20746240\", alpha=\"0.06\", expect_size=\"6223872\"] \n  2 -> 3 [size =\"6223872\"]\n  3 [size=\"88019627\", alpha=\"0.18\", expect_size=\"26405888\"] \n  3 -> 4 [size =\"26405888\"]\n  4 [size=\"64515413\", alpha=\"0.04\", expect_size=\"19354624\"] \n  4 -> 5 [size =\"19354624\"]\n  5 [size=\"32303787\", alpha=\"0.16\", expect_size=\"9691136\"] \n  5 -> 6 [size =\"9691136\"]\n  6 [size=\"160781653\", alpha=\"0.03\", expect_size=\"48234496\"] \n  6 -> 7 [size =\"48234496\"]\n  7 [size=\"156388693\", alpha=\"0.19\", expect_size=\"46916608\"] \n  7 -> 8 [size =\"46916608\"]\n  8 [size=\"56576000\", alpha=\"0.07\", expect_size=\"16972800\"] \n  8 -> 9 [size =\"16972800\"]\n  9 [size=\"173257387\", alpha=\"0.01\", expect_size=\"51977216\"] \n  9 -> 10 [size =\"51977216\"]\n  10 [size=\"101942613\", alpha=\"0.15\", expect_size=\"30582784\"] \n  10 -> 11 [size =\"30582784\"]\n  11 [size=\"122429440\", alpha=\"0.17\", expect_size=\"36728832\"] \n  11 -> 12 [size =\"36728832\"]\n  12 [size=\"132860587\", alpha=\"0.02\", expect_size=\"39858176\"] \n  12 -> 13 [size =\"39858176\"]\n  13 [size=\"25381547\", alpha=\"0.11\", expect_size=\"7614464\"] \n  13 -> 14 [size =\"7614464\"]\n  14 [size=\"167959893\", alpha=\"0.00\", expect_size=\"50387968\"] \n  14 -> 15 [size =\"50387968\"]\n  15 [size=\"38423893\", alpha=\"0.06\", expect_size=\"11527168\"] \n  15 -> 16 [size =\"11527168\"]\n  16 [size=\"166847147\", alpha=\"0.20\", expect_size=\"50054144\"] \n  16 -> 17 [size =\"50054144\"]\n  17 [size=\"30013440\", alpha=\"0.18\", expect_size=\"9004032\"] \n  17 -> 18 [size =\"9004032\"]\n  18 [size=\"23115093\", alpha=\"0.10\", expect_size=\"6934528\"] \n  18 -> 19 [size =\"6934528\"]\n  19 [size=\"76912640\", alpha=\"0.14\", expect_size=\"23073792\"] \n  19 -> 20 [size =\"23073792\"]\n  20 [size=\"81459200\", alpha=\"0.15\", expect_size=\"24437760\"] \n  20 -> 21 [size =\"24437760\"]\n  21 [size=\"43147947\", alpha=\"0.15\", expect_size=\"12944384\"] \n  21 -> 22 [size =\"12944384\"]\n  22 [size=\"22708907\", alpha=\"0.16\", expect_size=\"6812672\"] \n  22 -> 23 [size =\"6812672\"]\n  23 [size=\"34734080\", alpha=\"0.06\", expect_size=\"10420224\"] \n  23 -> 24 [size =\"10420224\"]\n  24 [size=\"117558613\", alpha=\"0.02\", expect_size=\"35267584\"] \n  24 -> 25 [size =\"35267584\"]\n  25 [size=\"118886400\", alpha=\"0.19\", expect_size=\"35665920\"] \n  25 -> 26 [size =\"35665920\"]\n  26 [size=\"162921813\", alpha=\"0.15\", expect_size=\"48876544\"] \n  26 -> 27 [size =\"48876544\"]\n  27 [size=\"161215147\", alpha=\"0.09\", expect_size=\"48364544\"] \n  27 -> 28 [size =\"48364544\"]\n  28 [size=\"148060160\", alpha=\"0.07\", expect_size=\"44418048\"] \n  28 -> 29 [size =\"44418048\"]\n  29 [size=\"71693653\", alpha=\"0.06\", expect_size=\"21508096\"] \n  29 -> 30 [size =\"21508096\"]\n  30 [size=\"22524587\", alpha=\"0.15\", expect_size=\"6757376\"] \n  30 -> 31 [size =\"6757376\"]\n  31 [size=\"139175253\", alpha=\"0.17\", expect_size=\"41752576\"] \n  31 -> 32 [size =\"41752576\"]\n  32 [size=\"101853867\", alpha=\"0.14\", expect_size=\"30556160\"] \n  32 -> 33 [size =\"30556160\"]\n  33 [size=\"71120213\", alpha=\"0.12\", expect_size=\"21336064\"] \n  33 -> 34 [size =\"21336064\"]\n  34 [size=\"117521067\", alpha=\"0.10\", expect_size=\"35256320\"] \n  34 -> 35 [size =\"35256320\"]\n  35 [size=\"130805760\", alpha=\"0.10\", expect_size=\"39241728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29673472\", alpha=\"0.19\", expect_size=\"14836736\"] \n  1 -> 8 [size =\"14836736\"]\n  2 [size=\"64010240\", alpha=\"0.19\", expect_size=\"32005120\"] \n  2 -> 5 [size =\"32005120\"]\n  2 -> 8 [size =\"32005120\"]\n  3 [size=\"59054080\", alpha=\"0.13\", expect_size=\"29527040\"] \n  3 -> 5 [size =\"29527040\"]\n  3 -> 6 [size =\"29527040\"]\n  4 [size=\"40509440\", alpha=\"0.13\", expect_size=\"20254720\"] \n  4 -> 5 [size =\"20254720\"]\n  4 -> 6 [size =\"20254720\"]\n  4 -> 7 [size =\"20254720\"]\n  5 [size=\"18268160\", alpha=\"0.18\", expect_size=\"9134080\"] \n  5 -> 11 [size =\"9134080\"]\n  5 -> 12 [size =\"9134080\"]\n  5 -> 13 [size =\"9134080\"]\n  6 [size=\"53954560\", alpha=\"0.16\", expect_size=\"26977280\"] \n  6 -> 13 [size =\"26977280\"]\n  7 [size=\"66269184\", alpha=\"0.19\", expect_size=\"33134592\"] \n  7 -> 9 [size =\"33134592\"]\n  7 -> 10 [size =\"33134592\"]\n  7 -> 12 [size =\"33134592\"]\n  8 [size=\"29685760\", alpha=\"0.19\", expect_size=\"14842880\"] \n  8 -> 10 [size =\"14842880\"]\n  8 -> 12 [size =\"14842880\"]\n  9 [size=\"42250240\", alpha=\"0.03\", expect_size=\"21125120\"] \n  9 -> 14 [size =\"21125120\"]\n  9 -> 15 [size =\"21125120\"]\n  9 -> 17 [size =\"21125120\"]\n  10 [size=\"37902336\", alpha=\"0.07\", expect_size=\"18951168\"] \n  10 -> 14 [size =\"18951168\"]\n  10 -> 17 [size =\"18951168\"]\n  11 [size=\"98729984\", alpha=\"0.15\", expect_size=\"49364992\"] \n  11 -> 16 [size =\"49364992\"]\n  12 [size=\"93741056\", alpha=\"0.03\", expect_size=\"46870528\"] \n  12 -> 16 [size =\"46870528\"]\n  13 [size=\"89458688\", alpha=\"0.17\", expect_size=\"44729344\"] \n  13 -> 16 [size =\"44729344\"]\n  14 [size=\"57268224\", alpha=\"0.07\", expect_size=\"28634112\"] \n  14 -> 18 [size =\"28634112\"]\n  14 -> 19 [size =\"28634112\"]\n  15 [size=\"23386112\", alpha=\"0.15\", expect_size=\"11693056\"] \n  15 -> 19 [size =\"11693056\"]\n  15 -> 20 [size =\"11693056\"]\n  15 -> 21 [size =\"11693056\"]\n  15 -> 22 [size =\"11693056\"]\n  16 [size=\"11872256\", alpha=\"0.11\", expect_size=\"5936128\"] \n  16 -> 19 [size =\"5936128\"]\n  16 -> 20 [size =\"5936128\"]\n  17 [size=\"89645056\", alpha=\"0.07\", expect_size=\"44822528\"] \n  17 -> 18 [size =\"44822528\"]\n  18 [size=\"82724864\", alpha=\"0.15\", expect_size=\"41362432\"] \n  18 -> 24 [size =\"41362432\"]\n  18 -> 26 [size =\"41362432\"]\n  19 [size=\"77787136\", alpha=\"0.16\", expect_size=\"38893568\"] \n  19 -> 23 [size =\"38893568\"]\n  19 -> 24 [size =\"38893568\"]\n  20 [size=\"93911040\", alpha=\"0.04\", expect_size=\"46955520\"] \n  20 -> 23 [size =\"46955520\"]\n  20 -> 25 [size =\"46955520\"]\n  20 -> 26 [size =\"46955520\"]\n  21 [size=\"30498816\", alpha=\"0.16\", expect_size=\"15249408\"] \n  21 -> 23 [size =\"15249408\"]\n  22 [size=\"100958208\", alpha=\"0.19\", expect_size=\"50479104\"] \n  22 -> 26 [size =\"50479104\"]\n  23 [size=\"19578880\", alpha=\"0.12\", expect_size=\"9789440\"] \n  23 -> 28 [size =\"9789440\"]\n  23 -> 29 [size =\"9789440\"]\n  23 -> 30 [size =\"9789440\"]\n  24 [size=\"97449984\", alpha=\"0.12\", expect_size=\"48724992\"] \n  24 -> 28 [size =\"48724992\"]\n  24 -> 29 [size =\"48724992\"]\n  25 [size=\"36077568\", alpha=\"0.14\", expect_size=\"18038784\"] \n  26 [size=\"14313472\", alpha=\"0.04\", expect_size=\"7156736\"] \n  26 -> 27 [size =\"7156736\"]\n  26 -> 29 [size =\"7156736\"]\n  27 [size=\"66412544\", alpha=\"0.07\", expect_size=\"33206272\"] \n  27 -> 33 [size =\"33206272\"]\n  27 -> 35 [size =\"33206272\"]\n  28 [size=\"97171456\", alpha=\"0.13\", expect_size=\"48585728\"] \n  28 -> 31 [size =\"48585728\"]\n  28 -> 32 [size =\"48585728\"]\n  28 -> 33 [size =\"48585728\"]\n  28 -> 35 [size =\"48585728\"]\n  29 [size=\"72767488\", alpha=\"0.07\", expect_size=\"36383744\"] \n  29 -> 34 [size =\"36383744\"]\n  29 -> 35 [size =\"36383744\"]\n  30 [size=\"54110208\", alpha=\"0.06\", expect_size=\"27055104\"] \n  31 [size=\"72089600\", alpha=\"0.04\", expect_size=\"36044800\"] \n  32 [size=\"51523584\", alpha=\"0.19\", expect_size=\"25761792\"] \n  33 [size=\"45934592\", alpha=\"0.11\", expect_size=\"22967296\"] \n  34 [size=\"103895040\", alpha=\"0.13\", expect_size=\"51947520\"] \n  35 [size=\"66684928\", alpha=\"0.18\", expect_size=\"33342464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107112960\", alpha=\"0.08\", expect_size=\"42845184\"] \n  1 -> 26 [size =\"42845184\"]\n  1 -> 28 [size =\"42845184\"]\n  1 -> 31 [size =\"42845184\"]\n  1 -> 33 [size =\"42845184\"]\n  1 -> 35 [size =\"42845184\"]\n  2 [size=\"116423680\", alpha=\"0.03\", expect_size=\"46569472\"] \n  2 -> 26 [size =\"46569472\"]\n  2 -> 31 [size =\"46569472\"]\n  2 -> 35 [size =\"46569472\"]\n  3 [size=\"114493440\", alpha=\"0.17\", expect_size=\"45797376\"] \n  3 -> 27 [size =\"45797376\"]\n  3 -> 28 [size =\"45797376\"]\n  4 [size=\"119912960\", alpha=\"0.08\", expect_size=\"47965184\"] \n  4 -> 26 [size =\"47965184\"]\n  4 -> 31 [size =\"47965184\"]\n  4 -> 33 [size =\"47965184\"]\n  4 -> 34 [size =\"47965184\"]\n  5 [size=\"106593280\", alpha=\"0.06\", expect_size=\"42637312\"] \n  5 -> 31 [size =\"42637312\"]\n  5 -> 31 [size =\"42637312\"]\n  5 -> 34 [size =\"42637312\"]\n  5 -> 35 [size =\"42637312\"]\n  6 [size=\"16547840\", alpha=\"0.10\", expect_size=\"6619136\"] \n  6 -> 34 [size =\"6619136\"]\n  7 [size=\"101824000\", alpha=\"0.19\", expect_size=\"40729600\"] \n  7 -> 31 [size =\"40729600\"]\n  7 -> 32 [size =\"40729600\"]\n  8 [size=\"77163520\", alpha=\"0.12\", expect_size=\"30865408\"] \n  9 [size=\"89415680\", alpha=\"0.05\", expect_size=\"35766272\"] \n  9 -> 27 [size =\"35766272\"]\n  9 -> 30 [size =\"35766272\"]\n  9 -> 34 [size =\"35766272\"]\n  10 [size=\"19573760\", alpha=\"0.01\", expect_size=\"7829504\"] \n  10 -> 26 [size =\"7829504\"]\n  11 [size=\"112537600\", alpha=\"0.10\", expect_size=\"45015040\"] \n  11 -> 26 [size =\"45015040\"]\n  12 [size=\"41671680\", alpha=\"0.14\", expect_size=\"16668672\"] \n  12 -> 26 [size =\"16668672\"]\n  12 -> 28 [size =\"16668672\"]\n  12 -> 31 [size =\"16668672\"]\n  13 [size=\"59151360\", alpha=\"0.14\", expect_size=\"23660544\"] \n  13 -> 35 [size =\"23660544\"]\n  14 [size=\"38681600\", alpha=\"0.04\", expect_size=\"15472640\"] \n  14 -> 27 [size =\"15472640\"]\n  14 -> 34 [size =\"15472640\"]\n  14 -> 35 [size =\"15472640\"]\n  15 [size=\"87892480\", alpha=\"0.08\", expect_size=\"35156992\"] \n  15 -> 26 [size =\"35156992\"]\n  15 -> 29 [size =\"35156992\"]\n  15 -> 34 [size =\"35156992\"]\n  16 [size=\"123279360\", alpha=\"0.15\", expect_size=\"49311744\"] \n  16 -> 26 [size =\"49311744\"]\n  16 -> 34 [size =\"49311744\"]\n  16 -> 35 [size =\"49311744\"]\n  17 [size=\"65482240\", alpha=\"0.05\", expect_size=\"26192896\"] \n  17 -> 26 [size =\"26192896\"]\n  17 -> 34 [size =\"26192896\"]\n  17 -> 35 [size =\"26192896\"]\n  18 [size=\"58519040\", alpha=\"0.03\", expect_size=\"23407616\"] \n  18 -> 34 [size =\"23407616\"]\n  19 [size=\"129146880\", alpha=\"0.16\", expect_size=\"51658752\"] \n  19 -> 35 [size =\"51658752\"]\n  20 [size=\"40412160\", alpha=\"0.12\", expect_size=\"16164864\"] \n  20 -> 27 [size =\"16164864\"]\n  21 [size=\"44864000\", alpha=\"0.03\", expect_size=\"17945600\"] \n  21 -> 33 [size =\"17945600\"]\n  21 -> 35 [size =\"17945600\"]\n  22 [size=\"102592000\", alpha=\"0.13\", expect_size=\"41036800\"] \n  22 -> 26 [size =\"41036800\"]\n  22 -> 27 [size =\"41036800\"]\n  22 -> 34 [size =\"41036800\"]\n  23 [size=\"64304640\", alpha=\"0.19\", expect_size=\"25721856\"] \n  23 -> 26 [size =\"25721856\"]\n  24 [size=\"28966400\", alpha=\"0.04\", expect_size=\"11586560\"] \n  24 -> 31 [size =\"11586560\"]\n  24 -> 34 [size =\"11586560\"]\n  24 -> 35 [size =\"11586560\"]\n  25 [size=\"49940480\", alpha=\"0.04\", expect_size=\"19976192\"] \n  25 -> 26 [size =\"19976192\"]\n  25 -> 28 [size =\"19976192\"]\n  25 -> 31 [size =\"19976192\"]\n  25 -> 35 [size =\"19976192\"]\n  26 [size=\"94353920\", alpha=\"0.05\", expect_size=\"37741568\"] \n  27 [size=\"64330240\", alpha=\"0.01\", expect_size=\"25732096\"] \n  28 [size=\"92922880\", alpha=\"0.08\", expect_size=\"37169152\"] \n  29 [size=\"107788800\", alpha=\"0.08\", expect_size=\"43115520\"] \n  30 [size=\"83169280\", alpha=\"0.09\", expect_size=\"33267712\"] \n  31 [size=\"33843200\", alpha=\"0.07\", expect_size=\"13537280\"] \n  32 [size=\"53811200\", alpha=\"0.09\", expect_size=\"21524480\"] \n  33 [size=\"128430080\", alpha=\"0.20\", expect_size=\"51372032\"] \n  34 [size=\"123159040\", alpha=\"0.14\", expect_size=\"49263616\"] \n  35 [size=\"26836480\", alpha=\"0.02\", expect_size=\"10734592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67885056\", alpha=\"0.02\", expect_size=\"33942528\"] \n  1 -> 2 [size =\"33942528\"]\n  2 [size=\"89929728\", alpha=\"0.14\", expect_size=\"44964864\"] \n  2 -> 3 [size =\"44964864\"]\n  3 [size=\"39434240\", alpha=\"0.17\", expect_size=\"19717120\"] \n  3 -> 4 [size =\"19717120\"]\n  4 [size=\"44795904\", alpha=\"0.10\", expect_size=\"22397952\"] \n  4 -> 5 [size =\"22397952\"]\n  5 [size=\"46737408\", alpha=\"0.08\", expect_size=\"23368704\"] \n  5 -> 6 [size =\"23368704\"]\n  6 [size=\"43233280\", alpha=\"0.08\", expect_size=\"21616640\"] \n  6 -> 7 [size =\"21616640\"]\n  7 [size=\"69810176\", alpha=\"0.03\", expect_size=\"34905088\"] \n  7 -> 8 [size =\"34905088\"]\n  8 [size=\"96278528\", alpha=\"0.06\", expect_size=\"48139264\"] \n  8 -> 9 [size =\"48139264\"]\n  9 [size=\"12210176\", alpha=\"0.19\", expect_size=\"6105088\"] \n  9 -> 10 [size =\"6105088\"]\n  10 [size=\"44916736\", alpha=\"0.17\", expect_size=\"22458368\"] \n  10 -> 11 [size =\"22458368\"]\n  11 [size=\"17506304\", alpha=\"0.01\", expect_size=\"8753152\"] \n  11 -> 12 [size =\"8753152\"]\n  12 [size=\"25847808\", alpha=\"0.10\", expect_size=\"12923904\"] \n  12 -> 13 [size =\"12923904\"]\n  13 [size=\"89630720\", alpha=\"0.08\", expect_size=\"44815360\"] \n  13 -> 14 [size =\"44815360\"]\n  14 [size=\"77271040\", alpha=\"0.15\", expect_size=\"38635520\"] \n  14 -> 15 [size =\"38635520\"]\n  15 [size=\"27756544\", alpha=\"0.09\", expect_size=\"13878272\"] \n  15 -> 16 [size =\"13878272\"]\n  16 [size=\"64165888\", alpha=\"0.18\", expect_size=\"32082944\"] \n  16 -> 17 [size =\"32082944\"]\n  17 [size=\"103198720\", alpha=\"0.01\", expect_size=\"51599360\"] \n  17 -> 18 [size =\"51599360\"]\n  18 [size=\"23459840\", alpha=\"0.14\", expect_size=\"11729920\"] \n  18 -> 19 [size =\"11729920\"]\n  19 [size=\"53608448\", alpha=\"0.13\", expect_size=\"26804224\"] \n  19 -> 20 [size =\"26804224\"]\n  20 [size=\"50438144\", alpha=\"0.09\", expect_size=\"25219072\"] \n  20 -> 21 [size =\"25219072\"]\n  21 [size=\"37586944\", alpha=\"0.16\", expect_size=\"18793472\"] \n  21 -> 22 [size =\"18793472\"]\n  22 [size=\"40407040\", alpha=\"0.00\", expect_size=\"20203520\"] \n  22 -> 23 [size =\"20203520\"]\n  23 [size=\"88518656\", alpha=\"0.11\", expect_size=\"44259328\"] \n  23 -> 24 [size =\"44259328\"]\n  24 [size=\"30019584\", alpha=\"0.08\", expect_size=\"15009792\"] \n  24 -> 25 [size =\"15009792\"]\n  25 [size=\"100562944\", alpha=\"0.14\", expect_size=\"50281472\"] \n  25 -> 26 [size =\"50281472\"]\n  26 [size=\"49659904\", alpha=\"0.06\", expect_size=\"24829952\"] \n  26 -> 27 [size =\"24829952\"]\n  27 [size=\"40185856\", alpha=\"0.11\", expect_size=\"20092928\"] \n  27 -> 28 [size =\"20092928\"]\n  28 [size=\"43939840\", alpha=\"0.14\", expect_size=\"21969920\"] \n  28 -> 29 [size =\"21969920\"]\n  29 [size=\"14544896\", alpha=\"0.18\", expect_size=\"7272448\"] \n  29 -> 30 [size =\"7272448\"]\n  30 [size=\"77365248\", alpha=\"0.08\", expect_size=\"38682624\"] \n  30 -> 31 [size =\"38682624\"]\n  31 [size=\"23564288\", alpha=\"0.00\", expect_size=\"11782144\"] \n  31 -> 32 [size =\"11782144\"]\n  32 [size=\"99284992\", alpha=\"0.16\", expect_size=\"49642496\"] \n  32 -> 33 [size =\"49642496\"]\n  33 [size=\"100859904\", alpha=\"0.08\", expect_size=\"50429952\"] \n  33 -> 34 [size =\"50429952\"]\n  34 [size=\"57237504\", alpha=\"0.15\", expect_size=\"28618752\"] \n  34 -> 35 [size =\"28618752\"]\n  35 [size=\"97099776\", alpha=\"0.05\", expect_size=\"48549888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86842027\", alpha=\"0.07\", expect_size=\"26052608\"] \n  1 -> 2 [size =\"26052608\"]\n  2 [size=\"59371520\", alpha=\"0.02\", expect_size=\"17811456\"] \n  2 -> 3 [size =\"17811456\"]\n  3 [size=\"135782400\", alpha=\"0.02\", expect_size=\"40734720\"] \n  3 -> 4 [size =\"40734720\"]\n  4 [size=\"82718720\", alpha=\"0.03\", expect_size=\"24815616\"] \n  4 -> 5 [size =\"24815616\"]\n  5 [size=\"64856747\", alpha=\"0.09\", expect_size=\"19457024\"] \n  5 -> 6 [size =\"19457024\"]\n  6 [size=\"31778133\", alpha=\"0.12\", expect_size=\"9533440\"] \n  6 -> 7 [size =\"9533440\"]\n  7 [size=\"61815467\", alpha=\"0.16\", expect_size=\"18544640\"] \n  7 -> 8 [size =\"18544640\"]\n  8 [size=\"21476693\", alpha=\"0.07\", expect_size=\"6443008\"] \n  8 -> 9 [size =\"6443008\"]\n  9 [size=\"68587520\", alpha=\"0.05\", expect_size=\"20576256\"] \n  9 -> 10 [size =\"20576256\"]\n  10 [size=\"30003200\", alpha=\"0.10\", expect_size=\"9000960\"] \n  10 -> 11 [size =\"9000960\"]\n  11 [size=\"70758400\", alpha=\"0.09\", expect_size=\"21227520\"] \n  11 -> 12 [size =\"21227520\"]\n  12 [size=\"127617707\", alpha=\"0.07\", expect_size=\"38285312\"] \n  12 -> 13 [size =\"38285312\"]\n  13 [size=\"146530987\", alpha=\"0.09\", expect_size=\"43959296\"] \n  13 -> 14 [size =\"43959296\"]\n  14 [size=\"165157547\", alpha=\"0.00\", expect_size=\"49547264\"] \n  14 -> 15 [size =\"49547264\"]\n  15 [size=\"30986240\", alpha=\"0.20\", expect_size=\"9295872\"] \n  15 -> 16 [size =\"9295872\"]\n  16 [size=\"101399893\", alpha=\"0.17\", expect_size=\"30419968\"] \n  16 -> 17 [size =\"30419968\"]\n  17 [size=\"36706987\", alpha=\"0.02\", expect_size=\"11012096\"] \n  17 -> 18 [size =\"11012096\"]\n  18 [size=\"161785173\", alpha=\"0.07\", expect_size=\"48535552\"] \n  18 -> 19 [size =\"48535552\"]\n  19 [size=\"60791467\", alpha=\"0.01\", expect_size=\"18237440\"] \n  19 -> 20 [size =\"18237440\"]\n  20 [size=\"99450880\", alpha=\"0.10\", expect_size=\"29835264\"] \n  20 -> 21 [size =\"29835264\"]\n  21 [size=\"19442347\", alpha=\"0.07\", expect_size=\"5832704\"] \n  21 -> 22 [size =\"5832704\"]\n  22 [size=\"90122240\", alpha=\"0.10\", expect_size=\"27036672\"] \n  22 -> 23 [size =\"27036672\"]\n  23 [size=\"142803627\", alpha=\"0.08\", expect_size=\"42841088\"] \n  23 -> 24 [size =\"42841088\"]\n  24 [size=\"54388053\", alpha=\"0.15\", expect_size=\"16316416\"] \n  24 -> 25 [size =\"16316416\"]\n  25 [size=\"58299733\", alpha=\"0.07\", expect_size=\"17489920\"] \n  25 -> 26 [size =\"17489920\"]\n  26 [size=\"56811520\", alpha=\"0.01\", expect_size=\"17043456\"] \n  26 -> 27 [size =\"17043456\"]\n  27 [size=\"30385493\", alpha=\"0.01\", expect_size=\"9115648\"] \n  27 -> 28 [size =\"9115648\"]\n  28 [size=\"49718613\", alpha=\"0.01\", expect_size=\"14915584\"] \n  28 -> 29 [size =\"14915584\"]\n  29 [size=\"104608427\", alpha=\"0.08\", expect_size=\"31382528\"] \n  29 -> 30 [size =\"31382528\"]\n  30 [size=\"110796800\", alpha=\"0.16\", expect_size=\"33239040\"] \n  30 -> 31 [size =\"33239040\"]\n  31 [size=\"29009920\", alpha=\"0.11\", expect_size=\"8702976\"] \n  31 -> 32 [size =\"8702976\"]\n  32 [size=\"85906773\", alpha=\"0.01\", expect_size=\"25772032\"] \n  32 -> 33 [size =\"25772032\"]\n  33 [size=\"166096213\", alpha=\"0.06\", expect_size=\"49828864\"] \n  33 -> 34 [size =\"49828864\"]\n  34 [size=\"73318400\", alpha=\"0.10\", expect_size=\"21995520\"] \n  34 -> 35 [size =\"21995520\"]\n  35 [size=\"30098773\", alpha=\"0.17\", expect_size=\"9029632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79495168\", alpha=\"0.12\", expect_size=\"39747584\"] \n  1 -> 2 [size =\"39747584\"]\n  2 [size=\"70942720\", alpha=\"0.10\", expect_size=\"35471360\"] \n  2 -> 3 [size =\"35471360\"]\n  3 [size=\"70713344\", alpha=\"0.16\", expect_size=\"35356672\"] \n  3 -> 4 [size =\"35356672\"]\n  4 [size=\"47835136\", alpha=\"0.15\", expect_size=\"23917568\"] \n  4 -> 5 [size =\"23917568\"]\n  5 [size=\"70426624\", alpha=\"0.08\", expect_size=\"35213312\"] \n  5 -> 6 [size =\"35213312\"]\n  6 [size=\"79968256\", alpha=\"0.13\", expect_size=\"39984128\"] \n  6 -> 7 [size =\"39984128\"]\n  7 [size=\"40511488\", alpha=\"0.06\", expect_size=\"20255744\"] \n  7 -> 8 [size =\"20255744\"]\n  8 [size=\"57925632\", alpha=\"0.05\", expect_size=\"28962816\"] \n  8 -> 9 [size =\"28962816\"]\n  9 [size=\"101662720\", alpha=\"0.06\", expect_size=\"50831360\"] \n  9 -> 10 [size =\"50831360\"]\n  10 [size=\"66846720\", alpha=\"0.17\", expect_size=\"33423360\"] \n  10 -> 11 [size =\"33423360\"]\n  11 [size=\"45193216\", alpha=\"0.02\", expect_size=\"22596608\"] \n  11 -> 12 [size =\"22596608\"]\n  12 [size=\"100761600\", alpha=\"0.06\", expect_size=\"50380800\"] \n  12 -> 13 [size =\"50380800\"]\n  13 [size=\"54466560\", alpha=\"0.11\", expect_size=\"27233280\"] \n  13 -> 14 [size =\"27233280\"]\n  14 [size=\"35721216\", alpha=\"0.16\", expect_size=\"17860608\"] \n  14 -> 15 [size =\"17860608\"]\n  15 [size=\"11044864\", alpha=\"0.18\", expect_size=\"5522432\"] \n  15 -> 16 [size =\"5522432\"]\n  16 [size=\"50024448\", alpha=\"0.11\", expect_size=\"25012224\"] \n  16 -> 17 [size =\"25012224\"]\n  17 [size=\"16754688\", alpha=\"0.17\", expect_size=\"8377344\"] \n  17 -> 18 [size =\"8377344\"]\n  18 [size=\"44619776\", alpha=\"0.20\", expect_size=\"22309888\"] \n  18 -> 19 [size =\"22309888\"]\n  19 [size=\"66099200\", alpha=\"0.14\", expect_size=\"33049600\"] \n  19 -> 20 [size =\"33049600\"]\n  20 [size=\"96493568\", alpha=\"0.01\", expect_size=\"48246784\"] \n  20 -> 21 [size =\"48246784\"]\n  21 [size=\"84654080\", alpha=\"0.04\", expect_size=\"42327040\"] \n  21 -> 22 [size =\"42327040\"]\n  22 [size=\"91764736\", alpha=\"0.19\", expect_size=\"45882368\"] \n  22 -> 23 [size =\"45882368\"]\n  23 [size=\"26439680\", alpha=\"0.07\", expect_size=\"13219840\"] \n  23 -> 24 [size =\"13219840\"]\n  24 [size=\"80535552\", alpha=\"0.03\", expect_size=\"40267776\"] \n  24 -> 25 [size =\"40267776\"]\n  25 [size=\"61313024\", alpha=\"0.11\", expect_size=\"30656512\"] \n  25 -> 26 [size =\"30656512\"]\n  26 [size=\"53309440\", alpha=\"0.14\", expect_size=\"26654720\"] \n  26 -> 27 [size =\"26654720\"]\n  27 [size=\"104376320\", alpha=\"0.04\", expect_size=\"52188160\"] \n  27 -> 28 [size =\"52188160\"]\n  28 [size=\"89548800\", alpha=\"0.04\", expect_size=\"44774400\"] \n  28 -> 29 [size =\"44774400\"]\n  29 [size=\"87693312\", alpha=\"0.03\", expect_size=\"43846656\"] \n  29 -> 30 [size =\"43846656\"]\n  30 [size=\"58189824\", alpha=\"0.13\", expect_size=\"29094912\"] \n  30 -> 31 [size =\"29094912\"]\n  31 [size=\"64976896\", alpha=\"0.12\", expect_size=\"32488448\"] \n  31 -> 32 [size =\"32488448\"]\n  32 [size=\"82696192\", alpha=\"0.09\", expect_size=\"41348096\"] \n  32 -> 33 [size =\"41348096\"]\n  33 [size=\"77430784\", alpha=\"0.16\", expect_size=\"38715392\"] \n  33 -> 34 [size =\"38715392\"]\n  34 [size=\"15040512\", alpha=\"0.08\", expect_size=\"7520256\"] \n  34 -> 35 [size =\"7520256\"]\n  35 [size=\"27244544\", alpha=\"0.00\", expect_size=\"13622272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71614464\", alpha=\"0.00\", expect_size=\"35807232\"] \n  1 -> 7 [size =\"35807232\"]\n  1 -> 9 [size =\"35807232\"]\n  1 -> 10 [size =\"35807232\"]\n  2 [size=\"91914240\", alpha=\"0.17\", expect_size=\"45957120\"] \n  2 -> 7 [size =\"45957120\"]\n  2 -> 9 [size =\"45957120\"]\n  3 [size=\"52760576\", alpha=\"0.12\", expect_size=\"26380288\"] \n  3 -> 7 [size =\"26380288\"]\n  3 -> 10 [size =\"26380288\"]\n  4 [size=\"51320832\", alpha=\"0.09\", expect_size=\"25660416\"] \n  4 -> 8 [size =\"25660416\"]\n  4 -> 9 [size =\"25660416\"]\n  4 -> 10 [size =\"25660416\"]\n  5 [size=\"25745408\", alpha=\"0.10\", expect_size=\"12872704\"] \n  5 -> 9 [size =\"12872704\"]\n  6 [size=\"98234368\", alpha=\"0.03\", expect_size=\"49117184\"] \n  6 -> 10 [size =\"49117184\"]\n  7 [size=\"83089408\", alpha=\"0.03\", expect_size=\"41544704\"] \n  7 -> 11 [size =\"41544704\"]\n  7 -> 13 [size =\"41544704\"]\n  8 [size=\"77879296\", alpha=\"0.01\", expect_size=\"38939648\"] \n  8 -> 13 [size =\"38939648\"]\n  9 [size=\"24801280\", alpha=\"0.17\", expect_size=\"12400640\"] \n  9 -> 12 [size =\"12400640\"]\n  10 [size=\"65003520\", alpha=\"0.08\", expect_size=\"32501760\"] \n  10 -> 12 [size =\"32501760\"]\n  10 -> 13 [size =\"32501760\"]\n  11 [size=\"65441792\", alpha=\"0.10\", expect_size=\"32720896\"] \n  11 -> 15 [size =\"32720896\"]\n  11 -> 18 [size =\"32720896\"]\n  12 [size=\"67600384\", alpha=\"0.02\", expect_size=\"33800192\"] \n  12 -> 14 [size =\"33800192\"]\n  12 -> 17 [size =\"33800192\"]\n  12 -> 18 [size =\"33800192\"]\n  13 [size=\"55238656\", alpha=\"0.19\", expect_size=\"27619328\"] \n  13 -> 15 [size =\"27619328\"]\n  13 -> 16 [size =\"27619328\"]\n  13 -> 17 [size =\"27619328\"]\n  14 [size=\"18649088\", alpha=\"0.01\", expect_size=\"9324544\"] \n  14 -> 20 [size =\"9324544\"]\n  14 -> 21 [size =\"9324544\"]\n  14 -> 22 [size =\"9324544\"]\n  15 [size=\"59856896\", alpha=\"0.18\", expect_size=\"29928448\"] \n  15 -> 22 [size =\"29928448\"]\n  16 [size=\"12867584\", alpha=\"0.10\", expect_size=\"6433792\"] \n  16 -> 19 [size =\"6433792\"]\n  17 [size=\"28053504\", alpha=\"0.07\", expect_size=\"14026752\"] \n  17 -> 20 [size =\"14026752\"]\n  18 [size=\"44107776\", alpha=\"0.14\", expect_size=\"22053888\"] \n  18 -> 19 [size =\"22053888\"]\n  18 -> 20 [size =\"22053888\"]\n  19 [size=\"49678336\", alpha=\"0.03\", expect_size=\"24839168\"] \n  19 -> 23 [size =\"24839168\"]\n  19 -> 24 [size =\"24839168\"]\n  19 -> 25 [size =\"24839168\"]\n  19 -> 26 [size =\"24839168\"]\n  20 [size=\"34971648\", alpha=\"0.03\", expect_size=\"17485824\"] \n  20 -> 24 [size =\"17485824\"]\n  20 -> 25 [size =\"17485824\"]\n  20 -> 27 [size =\"17485824\"]\n  21 [size=\"71860224\", alpha=\"0.16\", expect_size=\"35930112\"] \n  21 -> 23 [size =\"35930112\"]\n  22 [size=\"23588864\", alpha=\"0.06\", expect_size=\"11794432\"] \n  22 -> 23 [size =\"11794432\"]\n  22 -> 25 [size =\"11794432\"]\n  23 [size=\"32278528\", alpha=\"0.06\", expect_size=\"16139264\"] \n  23 -> 28 [size =\"16139264\"]\n  24 [size=\"28422144\", alpha=\"0.14\", expect_size=\"14211072\"] \n  24 -> 29 [size =\"14211072\"]\n  25 [size=\"31506432\", alpha=\"0.05\", expect_size=\"15753216\"] \n  25 -> 29 [size =\"15753216\"]\n  25 -> 30 [size =\"15753216\"]\n  25 -> 31 [size =\"15753216\"]\n  26 [size=\"21161984\", alpha=\"0.15\", expect_size=\"10580992\"] \n  26 -> 32 [size =\"10580992\"]\n  27 [size=\"69740544\", alpha=\"0.00\", expect_size=\"34870272\"] \n  28 [size=\"103563264\", alpha=\"0.20\", expect_size=\"51781632\"] \n  28 -> 34 [size =\"51781632\"]\n  29 [size=\"76060672\", alpha=\"0.02\", expect_size=\"38030336\"] \n  29 -> 34 [size =\"38030336\"]\n  29 -> 35 [size =\"38030336\"]\n  30 [size=\"87937024\", alpha=\"0.17\", expect_size=\"43968512\"] \n  30 -> 33 [size =\"43968512\"]\n  31 [size=\"100919296\", alpha=\"0.02\", expect_size=\"50459648\"] \n  31 -> 33 [size =\"50459648\"]\n  31 -> 34 [size =\"50459648\"]\n  31 -> 35 [size =\"50459648\"]\n  32 [size=\"81764352\", alpha=\"0.00\", expect_size=\"40882176\"] \n  33 [size=\"17528832\", alpha=\"0.08\", expect_size=\"8764416\"] \n  34 [size=\"44861440\", alpha=\"0.17\", expect_size=\"22430720\"] \n  35 [size=\"15855616\", alpha=\"0.16\", expect_size=\"7927808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34869248\", alpha=\"0.11\", expect_size=\"17434624\"] \n  1 -> 6 [size =\"17434624\"]\n  1 -> 7 [size =\"17434624\"]\n  2 [size=\"75255808\", alpha=\"0.09\", expect_size=\"37627904\"] \n  2 -> 7 [size =\"37627904\"]\n  3 [size=\"51150848\", alpha=\"0.19\", expect_size=\"25575424\"] \n  3 -> 6 [size =\"25575424\"]\n  3 -> 8 [size =\"25575424\"]\n  4 [size=\"53993472\", alpha=\"0.15\", expect_size=\"26996736\"] \n  4 -> 8 [size =\"26996736\"]\n  4 -> 8 [size =\"26996736\"]\n  5 [size=\"86571008\", alpha=\"0.18\", expect_size=\"43285504\"] \n  5 -> 6 [size =\"43285504\"]\n  5 -> 7 [size =\"43285504\"]\n  5 -> 9 [size =\"43285504\"]\n  6 [size=\"26705920\", alpha=\"0.02\", expect_size=\"13352960\"] \n  6 -> 12 [size =\"13352960\"]\n  7 [size=\"75472896\", alpha=\"0.07\", expect_size=\"37736448\"] \n  7 -> 10 [size =\"37736448\"]\n  7 -> 13 [size =\"37736448\"]\n  8 [size=\"42704896\", alpha=\"0.19\", expect_size=\"21352448\"] \n  8 -> 11 [size =\"21352448\"]\n  9 [size=\"67567616\", alpha=\"0.18\", expect_size=\"33783808\"] \n  9 -> 11 [size =\"33783808\"]\n  9 -> 12 [size =\"33783808\"]\n  10 [size=\"48091136\", alpha=\"0.13\", expect_size=\"24045568\"] \n  10 -> 15 [size =\"24045568\"]\n  10 -> 16 [size =\"24045568\"]\n  10 -> 17 [size =\"24045568\"]\n  11 [size=\"56965120\", alpha=\"0.18\", expect_size=\"28482560\"] \n  11 -> 15 [size =\"28482560\"]\n  11 -> 16 [size =\"28482560\"]\n  12 [size=\"13637632\", alpha=\"0.16\", expect_size=\"6818816\"] \n  12 -> 14 [size =\"6818816\"]\n  12 -> 16 [size =\"6818816\"]\n  12 -> 17 [size =\"6818816\"]\n  13 [size=\"58109952\", alpha=\"0.02\", expect_size=\"29054976\"] \n  13 -> 18 [size =\"29054976\"]\n  14 [size=\"55629824\", alpha=\"0.11\", expect_size=\"27814912\"] \n  14 -> 20 [size =\"27814912\"]\n  14 -> 22 [size =\"27814912\"]\n  14 -> 23 [size =\"27814912\"]\n  15 [size=\"32790528\", alpha=\"0.00\", expect_size=\"16395264\"] \n  15 -> 19 [size =\"16395264\"]\n  16 [size=\"23793664\", alpha=\"0.12\", expect_size=\"11896832\"] \n  16 -> 21 [size =\"11896832\"]\n  16 -> 23 [size =\"11896832\"]\n  17 [size=\"34699264\", alpha=\"0.07\", expect_size=\"17349632\"] \n  17 -> 21 [size =\"17349632\"]\n  18 [size=\"67739648\", alpha=\"0.18\", expect_size=\"33869824\"] \n  18 -> 20 [size =\"33869824\"]\n  18 -> 21 [size =\"33869824\"]\n  19 [size=\"63438848\", alpha=\"0.13\", expect_size=\"31719424\"] \n  19 -> 24 [size =\"31719424\"]\n  19 -> 25 [size =\"31719424\"]\n  19 -> 26 [size =\"31719424\"]\n  19 -> 28 [size =\"31719424\"]\n  20 [size=\"51933184\", alpha=\"0.19\", expect_size=\"25966592\"] \n  20 -> 24 [size =\"25966592\"]\n  20 -> 26 [size =\"25966592\"]\n  21 [size=\"18425856\", alpha=\"0.10\", expect_size=\"9212928\"] \n  21 -> 24 [size =\"9212928\"]\n  21 -> 27 [size =\"9212928\"]\n  21 -> 28 [size =\"9212928\"]\n  22 [size=\"104267776\", alpha=\"0.14\", expect_size=\"52133888\"] \n  22 -> 25 [size =\"52133888\"]\n  22 -> 28 [size =\"52133888\"]\n  23 [size=\"86638592\", alpha=\"0.07\", expect_size=\"43319296\"] \n  24 [size=\"95748096\", alpha=\"0.10\", expect_size=\"47874048\"] \n  24 -> 31 [size =\"47874048\"]\n  24 -> 31 [size =\"47874048\"]\n  24 -> 32 [size =\"47874048\"]\n  25 [size=\"53585920\", alpha=\"0.08\", expect_size=\"26792960\"] \n  25 -> 29 [size =\"26792960\"]\n  25 -> 30 [size =\"26792960\"]\n  25 -> 33 [size =\"26792960\"]\n  26 [size=\"55076864\", alpha=\"0.10\", expect_size=\"27538432\"] \n  26 -> 33 [size =\"27538432\"]\n  27 [size=\"16889856\", alpha=\"0.06\", expect_size=\"8444928\"] \n  27 -> 29 [size =\"8444928\"]\n  27 -> 30 [size =\"8444928\"]\n  27 -> 31 [size =\"8444928\"]\n  28 [size=\"47624192\", alpha=\"0.09\", expect_size=\"23812096\"] \n  28 -> 29 [size =\"23812096\"]\n  28 -> 31 [size =\"23812096\"]\n  29 [size=\"38486016\", alpha=\"0.04\", expect_size=\"19243008\"] \n  29 -> 35 [size =\"19243008\"]\n  30 [size=\"100079616\", alpha=\"0.06\", expect_size=\"50039808\"] \n  30 -> 35 [size =\"50039808\"]\n  31 [size=\"94214144\", alpha=\"0.19\", expect_size=\"47107072\"] \n  31 -> 34 [size =\"47107072\"]\n  32 [size=\"45273088\", alpha=\"0.12\", expect_size=\"22636544\"] \n  33 [size=\"18028544\", alpha=\"0.15\", expect_size=\"9014272\"] \n  34 [size=\"53145600\", alpha=\"0.08\", expect_size=\"26572800\"] \n  35 [size=\"99764224\", alpha=\"0.06\", expect_size=\"49882112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87451648\", alpha=\"0.11\", expect_size=\"43725824\"] \n  1 -> 2 [size =\"43725824\"]\n  1 -> 3 [size =\"43725824\"]\n  2 [size=\"18079744\", alpha=\"0.02\", expect_size=\"9039872\"] \n  3 [size=\"14501888\", alpha=\"0.16\", expect_size=\"7250944\"] \n  3 -> 4 [size =\"7250944\"]\n  3 -> 5 [size =\"7250944\"]\n  4 [size=\"44902400\", alpha=\"0.12\", expect_size=\"22451200\"] \n  5 [size=\"51036160\", alpha=\"0.11\", expect_size=\"25518080\"] \n  5 -> 6 [size =\"25518080\"]\n  6 [size=\"50087936\", alpha=\"0.19\", expect_size=\"25043968\"] \n  6 -> 7 [size =\"25043968\"]\n  6 -> 8 [size =\"25043968\"]\n  7 [size=\"91140096\", alpha=\"0.09\", expect_size=\"45570048\"] \n  7 -> 9 [size =\"45570048\"]\n  7 -> 10 [size =\"45570048\"]\n  8 [size=\"63490048\", alpha=\"0.07\", expect_size=\"31745024\"] \n  9 [size=\"35481600\", alpha=\"0.07\", expect_size=\"17740800\"] \n  9 -> 11 [size =\"17740800\"]\n  10 [size=\"67895296\", alpha=\"0.06\", expect_size=\"33947648\"] \n  10 -> 12 [size =\"33947648\"]\n  11 [size=\"74588160\", alpha=\"0.14\", expect_size=\"37294080\"] \n  11 -> 14 [size =\"37294080\"]\n  12 [size=\"31002624\", alpha=\"0.16\", expect_size=\"15501312\"] \n  12 -> 13 [size =\"15501312\"]\n  13 [size=\"42317824\", alpha=\"0.15\", expect_size=\"21158912\"] \n  13 -> 15 [size =\"21158912\"]\n  14 [size=\"24127488\", alpha=\"0.07\", expect_size=\"12063744\"] \n  15 [size=\"79181824\", alpha=\"0.11\", expect_size=\"39590912\"] \n  15 -> 16 [size =\"39590912\"]\n  16 [size=\"37595136\", alpha=\"0.09\", expect_size=\"18797568\"] \n  16 -> 17 [size =\"18797568\"]\n  17 [size=\"30720000\", alpha=\"0.09\", expect_size=\"15360000\"] \n  17 -> 18 [size =\"15360000\"]\n  17 -> 19 [size =\"15360000\"]\n  18 [size=\"71833600\", alpha=\"0.10\", expect_size=\"35916800\"] \n  18 -> 21 [size =\"35916800\"]\n  19 [size=\"104677376\", alpha=\"0.07\", expect_size=\"52338688\"] \n  19 -> 20 [size =\"52338688\"]\n  20 [size=\"41996288\", alpha=\"0.07\", expect_size=\"20998144\"] \n  21 [size=\"68900864\", alpha=\"0.03\", expect_size=\"34450432\"] \n  21 -> 22 [size =\"34450432\"]\n  22 [size=\"40376320\", alpha=\"0.00\", expect_size=\"20188160\"] \n  22 -> 23 [size =\"20188160\"]\n  22 -> 24 [size =\"20188160\"]\n  23 [size=\"21954560\", alpha=\"0.18\", expect_size=\"10977280\"] \n  23 -> 26 [size =\"10977280\"]\n  24 [size=\"94943232\", alpha=\"0.04\", expect_size=\"47471616\"] \n  24 -> 25 [size =\"47471616\"]\n  25 [size=\"31948800\", alpha=\"0.18\", expect_size=\"15974400\"] \n  25 -> 27 [size =\"15974400\"]\n  26 [size=\"84281344\", alpha=\"0.00\", expect_size=\"42140672\"] \n  26 -> 28 [size =\"42140672\"]\n  27 [size=\"33538048\", alpha=\"0.00\", expect_size=\"16769024\"] \n  28 [size=\"74313728\", alpha=\"0.11\", expect_size=\"37156864\"] \n  28 -> 29 [size =\"37156864\"]\n  28 -> 30 [size =\"37156864\"]\n  29 [size=\"25188352\", alpha=\"0.07\", expect_size=\"12594176\"] \n  29 -> 31 [size =\"12594176\"]\n  30 [size=\"59846656\", alpha=\"0.15\", expect_size=\"29923328\"] \n  31 [size=\"92035072\", alpha=\"0.17\", expect_size=\"46017536\"] \n  31 -> 32 [size =\"46017536\"]\n  32 [size=\"104349696\", alpha=\"0.04\", expect_size=\"52174848\"] \n  32 -> 33 [size =\"52174848\"]\n  32 -> 34 [size =\"52174848\"]\n  33 [size=\"104384512\", alpha=\"0.17\", expect_size=\"52192256\"] \n  34 [size=\"96153600\", alpha=\"0.12\", expect_size=\"48076800\"] \n  34 -> 35 [size =\"48076800\"]\n  35 [size=\"19705856\", alpha=\"0.03\", expect_size=\"9852928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127854080\", alpha=\"0.01\", expect_size=\"51141632\"] \n  1 -> 4 [size =\"51141632\"]\n  1 -> 5 [size =\"51141632\"]\n  1 -> 6 [size =\"51141632\"]\n  2 [size=\"110397440\", alpha=\"0.13\", expect_size=\"44158976\"] \n  2 -> 3 [size =\"44158976\"]\n  2 -> 4 [size =\"44158976\"]\n  3 [size=\"58675200\", alpha=\"0.04\", expect_size=\"23470080\"] \n  3 -> 8 [size =\"23470080\"]\n  3 -> 9 [size =\"23470080\"]\n  3 -> 11 [size =\"23470080\"]\n  4 [size=\"13685760\", alpha=\"0.08\", expect_size=\"5474304\"] \n  4 -> 8 [size =\"5474304\"]\n  4 -> 9 [size =\"5474304\"]\n  4 -> 10 [size =\"5474304\"]\n  4 -> 11 [size =\"5474304\"]\n  4 -> 12 [size =\"5474304\"]\n  5 [size=\"81518080\", alpha=\"0.04\", expect_size=\"32607232\"] \n  5 -> 7 [size =\"32607232\"]\n  5 -> 9 [size =\"32607232\"]\n  6 [size=\"29342720\", alpha=\"0.10\", expect_size=\"11737088\"] \n  7 [size=\"13754880\", alpha=\"0.14\", expect_size=\"5501952\"] \n  7 -> 14 [size =\"5501952\"]\n  7 -> 16 [size =\"5501952\"]\n  7 -> 17 [size =\"5501952\"]\n  8 [size=\"80412160\", alpha=\"0.15\", expect_size=\"32164864\"] \n  8 -> 16 [size =\"32164864\"]\n  8 -> 17 [size =\"32164864\"]\n  9 [size=\"128903680\", alpha=\"0.09\", expect_size=\"51561472\"] \n  9 -> 13 [size =\"51561472\"]\n  9 -> 14 [size =\"51561472\"]\n  9 -> 17 [size =\"51561472\"]\n  10 [size=\"72793600\", alpha=\"0.13\", expect_size=\"29117440\"] \n  10 -> 13 [size =\"29117440\"]\n  10 -> 15 [size =\"29117440\"]\n  10 -> 17 [size =\"29117440\"]\n  10 -> 18 [size =\"29117440\"]\n  11 [size=\"45416960\", alpha=\"0.05\", expect_size=\"18166784\"] \n  11 -> 13 [size =\"18166784\"]\n  11 -> 16 [size =\"18166784\"]\n  12 [size=\"53864960\", alpha=\"0.05\", expect_size=\"21545984\"] \n  12 -> 13 [size =\"21545984\"]\n  12 -> 17 [size =\"21545984\"]\n  13 [size=\"14952960\", alpha=\"0.17\", expect_size=\"5981184\"] \n  13 -> 21 [size =\"5981184\"]\n  13 -> 22 [size =\"5981184\"]\n  13 -> 23 [size =\"5981184\"]\n  14 [size=\"37455360\", alpha=\"0.12\", expect_size=\"14982144\"] \n  14 -> 20 [size =\"14982144\"]\n  14 -> 22 [size =\"14982144\"]\n  14 -> 23 [size =\"14982144\"]\n  15 [size=\"84008960\", alpha=\"0.05\", expect_size=\"33603584\"] \n  15 -> 21 [size =\"33603584\"]\n  15 -> 22 [size =\"33603584\"]\n  16 [size=\"108026880\", alpha=\"0.15\", expect_size=\"43210752\"] \n  16 -> 19 [size =\"43210752\"]\n  16 -> 21 [size =\"43210752\"]\n  16 -> 23 [size =\"43210752\"]\n  17 [size=\"51240960\", alpha=\"0.05\", expect_size=\"20496384\"] \n  17 -> 19 [size =\"20496384\"]\n  17 -> 22 [size =\"20496384\"]\n  18 [size=\"16302080\", alpha=\"0.05\", expect_size=\"6520832\"] \n  18 -> 21 [size =\"6520832\"]\n  18 -> 22 [size =\"6520832\"]\n  19 [size=\"103459840\", alpha=\"0.03\", expect_size=\"41383936\"] \n  19 -> 24 [size =\"41383936\"]\n  19 -> 25 [size =\"41383936\"]\n  20 [size=\"37350400\", alpha=\"0.09\", expect_size=\"14940160\"] \n  20 -> 27 [size =\"14940160\"]\n  21 [size=\"113600000\", alpha=\"0.15\", expect_size=\"45440000\"] \n  22 [size=\"24509440\", alpha=\"0.17\", expect_size=\"9803776\"] \n  22 -> 26 [size =\"9803776\"]\n  23 [size=\"53698560\", alpha=\"0.07\", expect_size=\"21479424\"] \n  23 -> 27 [size =\"21479424\"]\n  24 [size=\"37396480\", alpha=\"0.17\", expect_size=\"14958592\"] \n  24 -> 28 [size =\"14958592\"]\n  24 -> 29 [size =\"14958592\"]\n  24 -> 30 [size =\"14958592\"]\n  25 [size=\"106083840\", alpha=\"0.18\", expect_size=\"42433536\"] \n  25 -> 29 [size =\"42433536\"]\n  25 -> 30 [size =\"42433536\"]\n  26 [size=\"17674240\", alpha=\"0.03\", expect_size=\"7069696\"] \n  26 -> 28 [size =\"7069696\"]\n  27 [size=\"104350720\", alpha=\"0.07\", expect_size=\"41740288\"] \n  27 -> 28 [size =\"41740288\"]\n  28 [size=\"13519360\", alpha=\"0.03\", expect_size=\"5407744\"] \n  28 -> 32 [size =\"5407744\"]\n  29 [size=\"43064320\", alpha=\"0.19\", expect_size=\"17225728\"] \n  29 -> 31 [size =\"17225728\"]\n  29 -> 32 [size =\"17225728\"]\n  29 -> 33 [size =\"17225728\"]\n  29 -> 35 [size =\"17225728\"]\n  30 [size=\"60564480\", alpha=\"0.04\", expect_size=\"24225792\"] \n  30 -> 32 [size =\"24225792\"]\n  30 -> 34 [size =\"24225792\"]\n  31 [size=\"114698240\", alpha=\"0.15\", expect_size=\"45879296\"] \n  32 [size=\"84285440\", alpha=\"0.13\", expect_size=\"33714176\"] \n  33 [size=\"66616320\", alpha=\"0.12\", expect_size=\"26646528\"] \n  34 [size=\"107261440\", alpha=\"0.14\", expect_size=\"42904576\"] \n  35 [size=\"88837120\", alpha=\"0.08\", expect_size=\"35534848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71731200\", alpha=\"0.07\", expect_size=\"21519360\"] \n  1 -> 12 [size =\"21519360\"]\n  1 -> 13 [size =\"21519360\"]\n  1 -> 15 [size =\"21519360\"]\n  1 -> 18 [size =\"21519360\"]\n  1 -> 20 [size =\"21519360\"]\n  1 -> 21 [size =\"21519360\"]\n  2 [size=\"85698560\", alpha=\"0.12\", expect_size=\"25709568\"] \n  2 -> 20 [size =\"25709568\"]\n  3 [size=\"60528640\", alpha=\"0.03\", expect_size=\"18158592\"] \n  3 -> 15 [size =\"18158592\"]\n  4 [size=\"66655573\", alpha=\"0.08\", expect_size=\"19996672\"] \n  4 -> 13 [size =\"19996672\"]\n  4 -> 14 [size =\"19996672\"]\n  4 -> 16 [size =\"19996672\"]\n  4 -> 18 [size =\"19996672\"]\n  5 [size=\"102840320\", alpha=\"0.11\", expect_size=\"30852096\"] \n  5 -> 13 [size =\"30852096\"]\n  5 -> 14 [size =\"30852096\"]\n  5 -> 16 [size =\"30852096\"]\n  5 -> 17 [size =\"30852096\"]\n  5 -> 22 [size =\"30852096\"]\n  6 [size=\"114698240\", alpha=\"0.05\", expect_size=\"34409472\"] \n  6 -> 15 [size =\"34409472\"]\n  6 -> 19 [size =\"34409472\"]\n  6 -> 20 [size =\"34409472\"]\n  6 -> 22 [size =\"34409472\"]\n  7 [size=\"63180800\", alpha=\"0.08\", expect_size=\"18954240\"] \n  7 -> 14 [size =\"18954240\"]\n  7 -> 20 [size =\"18954240\"]\n  7 -> 22 [size =\"18954240\"]\n  8 [size=\"168526507\", alpha=\"0.09\", expect_size=\"50557952\"] \n  8 -> 14 [size =\"50557952\"]\n  8 -> 20 [size =\"50557952\"]\n  9 [size=\"160122880\", alpha=\"0.04\", expect_size=\"48036864\"] \n  9 -> 15 [size =\"48036864\"]\n  10 [size=\"61143040\", alpha=\"0.09\", expect_size=\"18342912\"] \n  10 -> 15 [size =\"18342912\"]\n  10 -> 18 [size =\"18342912\"]\n  10 -> 20 [size =\"18342912\"]\n  11 [size=\"59255467\", alpha=\"0.07\", expect_size=\"17776640\"] \n  11 -> 15 [size =\"17776640\"]\n  11 -> 16 [size =\"17776640\"]\n  11 -> 18 [size =\"17776640\"]\n  12 [size=\"115978240\", alpha=\"0.14\", expect_size=\"34793472\"] \n  12 -> 28 [size =\"34793472\"]\n  12 -> 29 [size =\"34793472\"]\n  12 -> 31 [size =\"34793472\"]\n  12 -> 32 [size =\"34793472\"]\n  12 -> 35 [size =\"34793472\"]\n  13 [size=\"51684693\", alpha=\"0.06\", expect_size=\"15505408\"] \n  13 -> 24 [size =\"15505408\"]\n  13 -> 25 [size =\"15505408\"]\n  13 -> 26 [size =\"15505408\"]\n  13 -> 28 [size =\"15505408\"]\n  13 -> 29 [size =\"15505408\"]\n  13 -> 31 [size =\"15505408\"]\n  13 -> 32 [size =\"15505408\"]\n  13 -> 34 [size =\"15505408\"]\n  13 -> 35 [size =\"15505408\"]\n  14 [size=\"76451840\", alpha=\"0.02\", expect_size=\"22935552\"] \n  14 -> 24 [size =\"22935552\"]\n  14 -> 31 [size =\"22935552\"]\n  14 -> 35 [size =\"22935552\"]\n  15 [size=\"136232960\", alpha=\"0.03\", expect_size=\"40869888\"] \n  15 -> 23 [size =\"40869888\"]\n  15 -> 24 [size =\"40869888\"]\n  15 -> 25 [size =\"40869888\"]\n  15 -> 26 [size =\"40869888\"]\n  15 -> 31 [size =\"40869888\"]\n  15 -> 33 [size =\"40869888\"]\n  16 [size=\"64808960\", alpha=\"0.08\", expect_size=\"19442688\"] \n  16 -> 24 [size =\"19442688\"]\n  16 -> 24 [size =\"19442688\"]\n  16 -> 25 [size =\"19442688\"]\n  16 -> 26 [size =\"19442688\"]\n  16 -> 27 [size =\"19442688\"]\n  16 -> 28 [size =\"19442688\"]\n  16 -> 35 [size =\"19442688\"]\n  17 [size=\"102454613\", alpha=\"0.00\", expect_size=\"30736384\"] \n  17 -> 24 [size =\"30736384\"]\n  17 -> 26 [size =\"30736384\"]\n  17 -> 28 [size =\"30736384\"]\n  17 -> 32 [size =\"30736384\"]\n  17 -> 34 [size =\"30736384\"]\n  17 -> 35 [size =\"30736384\"]\n  18 [size=\"164911787\", alpha=\"0.10\", expect_size=\"49473536\"] \n  18 -> 25 [size =\"49473536\"]\n  18 -> 26 [size =\"49473536\"]\n  18 -> 27 [size =\"49473536\"]\n  18 -> 28 [size =\"49473536\"]\n  18 -> 30 [size =\"49473536\"]\n  18 -> 31 [size =\"49473536\"]\n  18 -> 33 [size =\"49473536\"]\n  18 -> 34 [size =\"49473536\"]\n  19 [size=\"77649920\", alpha=\"0.18\", expect_size=\"23294976\"] \n  19 -> 25 [size =\"23294976\"]\n  19 -> 29 [size =\"23294976\"]\n  19 -> 30 [size =\"23294976\"]\n  19 -> 31 [size =\"23294976\"]\n  20 [size=\"112537600\", alpha=\"0.11\", expect_size=\"33761280\"] \n  20 -> 24 [size =\"33761280\"]\n  20 -> 25 [size =\"33761280\"]\n  20 -> 28 [size =\"33761280\"]\n  20 -> 34 [size =\"33761280\"]\n  21 [size=\"28071253\", alpha=\"0.12\", expect_size=\"8421376\"] \n  21 -> 25 [size =\"8421376\"]\n  21 -> 26 [size =\"8421376\"]\n  21 -> 34 [size =\"8421376\"]\n  22 [size=\"84684800\", alpha=\"0.00\", expect_size=\"25405440\"] \n  22 -> 25 [size =\"25405440\"]\n  22 -> 26 [size =\"25405440\"]\n  22 -> 28 [size =\"25405440\"]\n  22 -> 30 [size =\"25405440\"]\n  22 -> 31 [size =\"25405440\"]\n  22 -> 32 [size =\"25405440\"]\n  23 [size=\"41147733\", alpha=\"0.15\", expect_size=\"12344320\"] \n  24 [size=\"91470507\", alpha=\"0.15\", expect_size=\"27441152\"] \n  25 [size=\"107339093\", alpha=\"0.06\", expect_size=\"32201728\"] \n  26 [size=\"133031253\", alpha=\"0.10\", expect_size=\"39909376\"] \n  27 [size=\"37355520\", alpha=\"0.20\", expect_size=\"11206656\"] \n  28 [size=\"39379627\", alpha=\"0.09\", expect_size=\"11813888\"] \n  29 [size=\"118688427\", alpha=\"0.15\", expect_size=\"35606528\"] \n  30 [size=\"104526507\", alpha=\"0.08\", expect_size=\"31357952\"] \n  31 [size=\"37010773\", alpha=\"0.06\", expect_size=\"11103232\"] \n  32 [size=\"127675733\", alpha=\"0.16\", expect_size=\"38302720\"] \n  33 [size=\"130181120\", alpha=\"0.11\", expect_size=\"39054336\"] \n  34 [size=\"87572480\", alpha=\"0.13\", expect_size=\"26271744\"] \n  35 [size=\"49035947\", alpha=\"0.10\", expect_size=\"14710784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118654293\", alpha=\"0.13\", expect_size=\"35596288\"] \n  1 -> 2 [size =\"35596288\"]\n  2 [size=\"110172160\", alpha=\"0.02\", expect_size=\"33051648\"] \n  2 -> 3 [size =\"33051648\"]\n  3 [size=\"48346453\", alpha=\"0.14\", expect_size=\"14503936\"] \n  3 -> 4 [size =\"14503936\"]\n  4 [size=\"28508160\", alpha=\"0.03\", expect_size=\"8552448\"] \n  4 -> 5 [size =\"8552448\"]\n  5 [size=\"93443413\", alpha=\"0.12\", expect_size=\"28033024\"] \n  5 -> 6 [size =\"28033024\"]\n  6 [size=\"99170987\", alpha=\"0.10\", expect_size=\"29751296\"] \n  6 -> 7 [size =\"29751296\"]\n  7 [size=\"100396373\", alpha=\"0.08\", expect_size=\"30118912\"] \n  7 -> 8 [size =\"30118912\"]\n  8 [size=\"167536640\", alpha=\"0.03\", expect_size=\"50260992\"] \n  8 -> 9 [size =\"50260992\"]\n  9 [size=\"20107947\", alpha=\"0.13\", expect_size=\"6032384\"] \n  9 -> 10 [size =\"6032384\"]\n  10 [size=\"103198720\", alpha=\"0.14\", expect_size=\"30959616\"] \n  10 -> 11 [size =\"30959616\"]\n  11 [size=\"104140800\", alpha=\"0.11\", expect_size=\"31242240\"] \n  11 -> 12 [size =\"31242240\"]\n  12 [size=\"49524053\", alpha=\"0.02\", expect_size=\"14857216\"] \n  12 -> 13 [size =\"14857216\"]\n  13 [size=\"62887253\", alpha=\"0.12\", expect_size=\"18866176\"] \n  13 -> 14 [size =\"18866176\"]\n  14 [size=\"170980693\", alpha=\"0.20\", expect_size=\"51294208\"] \n  14 -> 15 [size =\"51294208\"]\n  15 [size=\"34717013\", alpha=\"0.18\", expect_size=\"10415104\"] \n  15 -> 16 [size =\"10415104\"]\n  16 [size=\"132177920\", alpha=\"0.04\", expect_size=\"39653376\"] \n  16 -> 17 [size =\"39653376\"]\n  17 [size=\"53005653\", alpha=\"0.12\", expect_size=\"15901696\"] \n  17 -> 18 [size =\"15901696\"]\n  18 [size=\"114350080\", alpha=\"0.17\", expect_size=\"34305024\"] \n  18 -> 19 [size =\"34305024\"]\n  19 [size=\"139025067\", alpha=\"0.09\", expect_size=\"41707520\"] \n  19 -> 20 [size =\"41707520\"]\n  20 [size=\"80800427\", alpha=\"0.18\", expect_size=\"24240128\"] \n  20 -> 21 [size =\"24240128\"]\n  21 [size=\"31931733\", alpha=\"0.00\", expect_size=\"9579520\"] \n  21 -> 22 [size =\"9579520\"]\n  22 [size=\"117367467\", alpha=\"0.14\", expect_size=\"35210240\"] \n  22 -> 23 [size =\"35210240\"]\n  23 [size=\"131536213\", alpha=\"0.12\", expect_size=\"39460864\"] \n  23 -> 24 [size =\"39460864\"]\n  24 [size=\"69806080\", alpha=\"0.11\", expect_size=\"20941824\"] \n  24 -> 25 [size =\"20941824\"]\n  25 [size=\"66003627\", alpha=\"0.00\", expect_size=\"19801088\"] \n  25 -> 26 [size =\"19801088\"]\n  26 [size=\"50896213\", alpha=\"0.19\", expect_size=\"15268864\"] \n  26 -> 27 [size =\"15268864\"]\n  27 [size=\"82213547\", alpha=\"0.09\", expect_size=\"24664064\"] \n  27 -> 28 [size =\"24664064\"]\n  28 [size=\"21449387\", alpha=\"0.18\", expect_size=\"6434816\"] \n  28 -> 29 [size =\"6434816\"]\n  29 [size=\"158214827\", alpha=\"0.07\", expect_size=\"47464448\"] \n  29 -> 30 [size =\"47464448\"]\n  30 [size=\"71280640\", alpha=\"0.07\", expect_size=\"21384192\"] \n  30 -> 31 [size =\"21384192\"]\n  31 [size=\"57012907\", alpha=\"0.19\", expect_size=\"17103872\"] \n  31 -> 32 [size =\"17103872\"]\n  32 [size=\"59303253\", alpha=\"0.14\", expect_size=\"17790976\"] \n  32 -> 33 [size =\"17790976\"]\n  33 [size=\"170850987\", alpha=\"0.15\", expect_size=\"51255296\"] \n  33 -> 34 [size =\"51255296\"]\n  34 [size=\"107953493\", alpha=\"0.15\", expect_size=\"32386048\"] \n  34 -> 35 [size =\"32386048\"]\n  35 [size=\"38932480\", alpha=\"0.18\", expect_size=\"11679744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171048960\", alpha=\"0.09\", expect_size=\"51314688\"] \n  1 -> 2 [size =\"51314688\"]\n  2 [size=\"98553173\", alpha=\"0.01\", expect_size=\"29565952\"] \n  2 -> 3 [size =\"29565952\"]\n  3 [size=\"118961493\", alpha=\"0.19\", expect_size=\"35688448\"] \n  3 -> 4 [size =\"35688448\"]\n  4 [size=\"116206933\", alpha=\"0.17\", expect_size=\"34862080\"] \n  4 -> 5 [size =\"34862080\"]\n  5 [size=\"160669013\", alpha=\"0.05\", expect_size=\"48200704\"] \n  5 -> 6 [size =\"48200704\"]\n  6 [size=\"140001280\", alpha=\"0.05\", expect_size=\"42000384\"] \n  6 -> 7 [size =\"42000384\"]\n  7 [size=\"128092160\", alpha=\"0.02\", expect_size=\"38427648\"] \n  7 -> 8 [size =\"38427648\"]\n  8 [size=\"33600853\", alpha=\"0.05\", expect_size=\"10080256\"] \n  8 -> 9 [size =\"10080256\"]\n  9 [size=\"153917440\", alpha=\"0.10\", expect_size=\"46175232\"] \n  9 -> 10 [size =\"46175232\"]\n  10 [size=\"146285227\", alpha=\"0.18\", expect_size=\"43885568\"] \n  10 -> 11 [size =\"43885568\"]\n  11 [size=\"157975893\", alpha=\"0.11\", expect_size=\"47392768\"] \n  11 -> 12 [size =\"47392768\"]\n  12 [size=\"71318187\", alpha=\"0.01\", expect_size=\"21395456\"] \n  12 -> 13 [size =\"21395456\"]\n  13 [size=\"80366933\", alpha=\"0.16\", expect_size=\"24110080\"] \n  13 -> 14 [size =\"24110080\"]\n  14 [size=\"75738453\", alpha=\"0.18\", expect_size=\"22721536\"] \n  14 -> 15 [size =\"22721536\"]\n  15 [size=\"51473067\", alpha=\"0.02\", expect_size=\"15441920\"] \n  15 -> 16 [size =\"15441920\"]\n  16 [size=\"87528107\", alpha=\"0.06\", expect_size=\"26258432\"] \n  16 -> 17 [size =\"26258432\"]\n  17 [size=\"123310080\", alpha=\"0.17\", expect_size=\"36993024\"] \n  17 -> 18 [size =\"36993024\"]\n  18 [size=\"138209280\", alpha=\"0.04\", expect_size=\"41462784\"] \n  18 -> 19 [size =\"41462784\"]\n  19 [size=\"23292587\", alpha=\"0.00\", expect_size=\"6987776\"] \n  19 -> 20 [size =\"6987776\"]\n  20 [size=\"100884480\", alpha=\"0.03\", expect_size=\"30265344\"] \n  20 -> 21 [size =\"30265344\"]\n  21 [size=\"86958080\", alpha=\"0.05\", expect_size=\"26087424\"] \n  21 -> 22 [size =\"26087424\"]\n  22 [size=\"19046400\", alpha=\"0.18\", expect_size=\"5713920\"] \n  22 -> 23 [size =\"5713920\"]\n  23 [size=\"24050347\", alpha=\"0.04\", expect_size=\"7215104\"] \n  23 -> 24 [size =\"7215104\"]\n  24 [size=\"148753067\", alpha=\"0.02\", expect_size=\"44625920\"] \n  24 -> 25 [size =\"44625920\"]\n  25 [size=\"131665920\", alpha=\"0.18\", expect_size=\"39499776\"] \n  25 -> 26 [size =\"39499776\"]\n  26 [size=\"144592213\", alpha=\"0.10\", expect_size=\"43377664\"] \n  26 -> 27 [size =\"43377664\"]\n  27 [size=\"32785067\", alpha=\"0.16\", expect_size=\"9835520\"] \n  27 -> 28 [size =\"9835520\"]\n  28 [size=\"168512853\", alpha=\"0.04\", expect_size=\"50553856\"] \n  28 -> 29 [size =\"50553856\"]\n  29 [size=\"43253760\", alpha=\"0.10\", expect_size=\"12976128\"] \n  29 -> 30 [size =\"12976128\"]\n  30 [size=\"43455147\", alpha=\"0.12\", expect_size=\"13036544\"] \n  30 -> 31 [size =\"13036544\"]\n  31 [size=\"66420053\", alpha=\"0.11\", expect_size=\"19926016\"] \n  31 -> 32 [size =\"19926016\"]\n  32 [size=\"108441600\", alpha=\"0.18\", expect_size=\"32532480\"] \n  32 -> 33 [size =\"32532480\"]\n  33 [size=\"93310293\", alpha=\"0.12\", expect_size=\"27993088\"] \n  33 -> 34 [size =\"27993088\"]\n  34 [size=\"122514773\", alpha=\"0.14\", expect_size=\"36754432\"] \n  34 -> 35 [size =\"36754432\"]\n  35 [size=\"137502720\", alpha=\"0.01\", expect_size=\"41250816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51107840\", alpha=\"0.11\", expect_size=\"20443136\"] \n  1 -> 3 [size =\"20443136\"]\n  2 [size=\"75842560\", alpha=\"0.13\", expect_size=\"30337024\"] \n  3 [size=\"71347200\", alpha=\"0.15\", expect_size=\"28538880\"] \n  3 -> 4 [size =\"28538880\"]\n  4 [size=\"118179840\", alpha=\"0.01\", expect_size=\"47271936\"] \n  4 -> 5 [size =\"47271936\"]\n  4 -> 6 [size =\"47271936\"]\n  5 [size=\"36956160\", alpha=\"0.05\", expect_size=\"14782464\"] \n  5 -> 7 [size =\"14782464\"]\n  6 [size=\"32652800\", alpha=\"0.12\", expect_size=\"13061120\"] \n  6 -> 7 [size =\"13061120\"]\n  7 [size=\"117729280\", alpha=\"0.02\", expect_size=\"47091712\"] \n  7 -> 8 [size =\"47091712\"]\n  8 [size=\"31196160\", alpha=\"0.06\", expect_size=\"12478464\"] \n  8 -> 9 [size =\"12478464\"]\n  8 -> 10 [size =\"12478464\"]\n  9 [size=\"36738560\", alpha=\"0.12\", expect_size=\"14695424\"] \n  9 -> 11 [size =\"14695424\"]\n  10 [size=\"23093760\", alpha=\"0.09\", expect_size=\"9237504\"] \n  11 [size=\"55034880\", alpha=\"0.09\", expect_size=\"22013952\"] \n  11 -> 12 [size =\"22013952\"]\n  11 -> 13 [size =\"22013952\"]\n  12 [size=\"119854080\", alpha=\"0.18\", expect_size=\"47941632\"] \n  12 -> 15 [size =\"47941632\"]\n  13 [size=\"80064000\", alpha=\"0.16\", expect_size=\"32025600\"] \n  13 -> 14 [size =\"32025600\"]\n  13 -> 15 [size =\"32025600\"]\n  14 [size=\"53335040\", alpha=\"0.06\", expect_size=\"21334016\"] \n  14 -> 16 [size =\"21334016\"]\n  15 [size=\"57638400\", alpha=\"0.14\", expect_size=\"23055360\"] \n  15 -> 16 [size =\"23055360\"]\n  16 [size=\"89436160\", alpha=\"0.16\", expect_size=\"35774464\"] \n  16 -> 17 [size =\"35774464\"]\n  16 -> 18 [size =\"35774464\"]\n  17 [size=\"43274240\", alpha=\"0.03\", expect_size=\"17309696\"] \n  17 -> 19 [size =\"17309696\"]\n  18 [size=\"57638400\", alpha=\"0.02\", expect_size=\"23055360\"] \n  18 -> 19 [size =\"23055360\"]\n  19 [size=\"90147840\", alpha=\"0.16\", expect_size=\"36059136\"] \n  19 -> 20 [size =\"36059136\"]\n  19 -> 21 [size =\"36059136\"]\n  20 [size=\"42708480\", alpha=\"0.12\", expect_size=\"17083392\"] \n  20 -> 22 [size =\"17083392\"]\n  21 [size=\"93475840\", alpha=\"0.14\", expect_size=\"37390336\"] \n  22 [size=\"31009280\", alpha=\"0.07\", expect_size=\"12403712\"] \n  22 -> 23 [size =\"12403712\"]\n  22 -> 24 [size =\"12403712\"]\n  23 [size=\"17108480\", alpha=\"0.10\", expect_size=\"6843392\"] \n  23 -> 25 [size =\"6843392\"]\n  24 [size=\"110976000\", alpha=\"0.10\", expect_size=\"44390400\"] \n  25 [size=\"27837440\", alpha=\"0.15\", expect_size=\"11134976\"] \n  25 -> 26 [size =\"11134976\"]\n  26 [size=\"109905920\", alpha=\"0.03\", expect_size=\"43962368\"] \n  26 -> 27 [size =\"43962368\"]\n  26 -> 28 [size =\"43962368\"]\n  27 [size=\"84180480\", alpha=\"0.08\", expect_size=\"33672192\"] \n  27 -> 29 [size =\"33672192\"]\n  28 [size=\"100431360\", alpha=\"0.17\", expect_size=\"40172544\"] \n  29 [size=\"112135680\", alpha=\"0.10\", expect_size=\"44854272\"] \n  29 -> 30 [size =\"44854272\"]\n  29 -> 31 [size =\"44854272\"]\n  30 [size=\"88701440\", alpha=\"0.04\", expect_size=\"35480576\"] \n  30 -> 32 [size =\"35480576\"]\n  31 [size=\"40499200\", alpha=\"0.06\", expect_size=\"16199680\"] \n  31 -> 32 [size =\"16199680\"]\n  32 [size=\"123491840\", alpha=\"0.06\", expect_size=\"49396736\"] \n  32 -> 33 [size =\"49396736\"]\n  32 -> 34 [size =\"49396736\"]\n  33 [size=\"46528000\", alpha=\"0.17\", expect_size=\"18611200\"] \n  33 -> 35 [size =\"18611200\"]\n  34 [size=\"103772160\", alpha=\"0.14\", expect_size=\"41508864\"] \n  34 -> 35 [size =\"41508864\"]\n  35 [size=\"46405120\", alpha=\"0.20\", expect_size=\"18562048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96647168\", alpha=\"0.13\", expect_size=\"48323584\"] \n  1 -> 8 [size =\"48323584\"]\n  2 [size=\"21411840\", alpha=\"0.02\", expect_size=\"10705920\"] \n  2 -> 6 [size =\"10705920\"]\n  2 -> 8 [size =\"10705920\"]\n  3 [size=\"87343104\", alpha=\"0.13\", expect_size=\"43671552\"] \n  3 -> 6 [size =\"43671552\"]\n  3 -> 9 [size =\"43671552\"]\n  4 [size=\"21202944\", alpha=\"0.04\", expect_size=\"10601472\"] \n  4 -> 8 [size =\"10601472\"]\n  5 [size=\"72056832\", alpha=\"0.16\", expect_size=\"36028416\"] \n  5 -> 7 [size =\"36028416\"]\n  5 -> 9 [size =\"36028416\"]\n  6 [size=\"67020800\", alpha=\"0.07\", expect_size=\"33510400\"] \n  6 -> 10 [size =\"33510400\"]\n  6 -> 12 [size =\"33510400\"]\n  7 [size=\"74151936\", alpha=\"0.19\", expect_size=\"37075968\"] \n  7 -> 10 [size =\"37075968\"]\n  7 -> 13 [size =\"37075968\"]\n  8 [size=\"17131520\", alpha=\"0.17\", expect_size=\"8565760\"] \n  8 -> 11 [size =\"8565760\"]\n  9 [size=\"37261312\", alpha=\"0.02\", expect_size=\"18630656\"] \n  9 -> 11 [size =\"18630656\"]\n  10 [size=\"36655104\", alpha=\"0.13\", expect_size=\"18327552\"] \n  10 -> 16 [size =\"18327552\"]\n  10 -> 17 [size =\"18327552\"]\n  11 [size=\"95576064\", alpha=\"0.09\", expect_size=\"47788032\"] \n  11 -> 14 [size =\"47788032\"]\n  11 -> 16 [size =\"47788032\"]\n  12 [size=\"61851648\", alpha=\"0.13\", expect_size=\"30925824\"] \n  12 -> 15 [size =\"30925824\"]\n  13 [size=\"69255168\", alpha=\"0.09\", expect_size=\"34627584\"] \n  13 -> 15 [size =\"34627584\"]\n  14 [size=\"34940928\", alpha=\"0.04\", expect_size=\"17470464\"] \n  14 -> 18 [size =\"17470464\"]\n  15 [size=\"51970048\", alpha=\"0.06\", expect_size=\"25985024\"] \n  15 -> 19 [size =\"25985024\"]\n  15 -> 20 [size =\"25985024\"]\n  15 -> 22 [size =\"25985024\"]\n  16 [size=\"34529280\", alpha=\"0.02\", expect_size=\"17264640\"] \n  16 -> 18 [size =\"17264640\"]\n  16 -> 21 [size =\"17264640\"]\n  17 [size=\"66582528\", alpha=\"0.03\", expect_size=\"33291264\"] \n  17 -> 21 [size =\"33291264\"]\n  17 -> 22 [size =\"33291264\"]\n  18 [size=\"59744256\", alpha=\"0.01\", expect_size=\"29872128\"] \n  18 -> 24 [size =\"29872128\"]\n  19 [size=\"43290624\", alpha=\"0.06\", expect_size=\"21645312\"] \n  20 [size=\"51081216\", alpha=\"0.04\", expect_size=\"25540608\"] \n  20 -> 24 [size =\"25540608\"]\n  21 [size=\"20119552\", alpha=\"0.00\", expect_size=\"10059776\"] \n  21 -> 23 [size =\"10059776\"]\n  21 -> 25 [size =\"10059776\"]\n  21 -> 27 [size =\"10059776\"]\n  22 [size=\"61741056\", alpha=\"0.19\", expect_size=\"30870528\"] \n  22 -> 23 [size =\"30870528\"]\n  22 -> 26 [size =\"30870528\"]\n  22 -> 27 [size =\"30870528\"]\n  23 [size=\"28375040\", alpha=\"0.14\", expect_size=\"14187520\"] \n  24 [size=\"68845568\", alpha=\"0.11\", expect_size=\"34422784\"] \n  24 -> 29 [size =\"34422784\"]\n  24 -> 30 [size =\"34422784\"]\n  25 [size=\"86292480\", alpha=\"0.01\", expect_size=\"43146240\"] \n  25 -> 29 [size =\"43146240\"]\n  25 -> 30 [size =\"43146240\"]\n  26 [size=\"17915904\", alpha=\"0.03\", expect_size=\"8957952\"] \n  26 -> 30 [size =\"8957952\"]\n  26 -> 31 [size =\"8957952\"]\n  26 -> 32 [size =\"8957952\"]\n  27 [size=\"25774080\", alpha=\"0.19\", expect_size=\"12887040\"] \n  27 -> 28 [size =\"12887040\"]\n  28 [size=\"37797888\", alpha=\"0.16\", expect_size=\"18898944\"] \n  28 -> 34 [size =\"18898944\"]\n  29 [size=\"43337728\", alpha=\"0.19\", expect_size=\"21668864\"] \n  30 [size=\"70299648\", alpha=\"0.07\", expect_size=\"35149824\"] \n  30 -> 33 [size =\"35149824\"]\n  30 -> 34 [size =\"35149824\"]\n  31 [size=\"88115200\", alpha=\"0.14\", expect_size=\"44057600\"] \n  32 [size=\"88573952\", alpha=\"0.11\", expect_size=\"44286976\"] \n  32 -> 35 [size =\"44286976\"]\n  33 [size=\"82601984\", alpha=\"0.01\", expect_size=\"41300992\"] \n  34 [size=\"52684800\", alpha=\"0.16\", expect_size=\"26342400\"] \n  35 [size=\"103915520\", alpha=\"0.19\", expect_size=\"51957760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120171520\", alpha=\"0.07\", expect_size=\"48068608\"] \n  1 -> 29 [size =\"48068608\"]\n  1 -> 32 [size =\"48068608\"]\n  1 -> 34 [size =\"48068608\"]\n  1 -> 35 [size =\"48068608\"]\n  2 [size=\"86888960\", alpha=\"0.14\", expect_size=\"34755584\"] \n  2 -> 31 [size =\"34755584\"]\n  2 -> 32 [size =\"34755584\"]\n  2 -> 34 [size =\"34755584\"]\n  2 -> 35 [size =\"34755584\"]\n  3 [size=\"76006400\", alpha=\"0.03\", expect_size=\"30402560\"] \n  3 -> 26 [size =\"30402560\"]\n  3 -> 27 [size =\"30402560\"]\n  3 -> 28 [size =\"30402560\"]\n  3 -> 29 [size =\"30402560\"]\n  3 -> 30 [size =\"30402560\"]\n  3 -> 32 [size =\"30402560\"]\n  4 [size=\"66250240\", alpha=\"0.04\", expect_size=\"26500096\"] \n  4 -> 27 [size =\"26500096\"]\n  4 -> 31 [size =\"26500096\"]\n  4 -> 32 [size =\"26500096\"]\n  4 -> 35 [size =\"26500096\"]\n  5 [size=\"108725760\", alpha=\"0.10\", expect_size=\"43490304\"] \n  5 -> 27 [size =\"43490304\"]\n  5 -> 32 [size =\"43490304\"]\n  5 -> 34 [size =\"43490304\"]\n  5 -> 35 [size =\"43490304\"]\n  6 [size=\"31682560\", alpha=\"0.10\", expect_size=\"12673024\"] \n  6 -> 25 [size =\"12673024\"]\n  6 -> 27 [size =\"12673024\"]\n  6 -> 31 [size =\"12673024\"]\n  6 -> 34 [size =\"12673024\"]\n  7 [size=\"109291520\", alpha=\"0.15\", expect_size=\"43716608\"] \n  7 -> 26 [size =\"43716608\"]\n  7 -> 27 [size =\"43716608\"]\n  7 -> 29 [size =\"43716608\"]\n  7 -> 31 [size =\"43716608\"]\n  7 -> 34 [size =\"43716608\"]\n  7 -> 35 [size =\"43716608\"]\n  8 [size=\"55912960\", alpha=\"0.16\", expect_size=\"22365184\"] \n  8 -> 27 [size =\"22365184\"]\n  8 -> 29 [size =\"22365184\"]\n  8 -> 31 [size =\"22365184\"]\n  8 -> 31 [size =\"22365184\"]\n  8 -> 32 [size =\"22365184\"]\n  8 -> 34 [size =\"22365184\"]\n  9 [size=\"27233280\", alpha=\"0.13\", expect_size=\"10893312\"] \n  9 -> 27 [size =\"10893312\"]\n  9 -> 30 [size =\"10893312\"]\n  9 -> 31 [size =\"10893312\"]\n  9 -> 32 [size =\"10893312\"]\n  9 -> 33 [size =\"10893312\"]\n  9 -> 34 [size =\"10893312\"]\n  9 -> 35 [size =\"10893312\"]\n  10 [size=\"40053760\", alpha=\"0.05\", expect_size=\"16021504\"] \n  10 -> 29 [size =\"16021504\"]\n  10 -> 30 [size =\"16021504\"]\n  10 -> 32 [size =\"16021504\"]\n  10 -> 32 [size =\"16021504\"]\n  10 -> 35 [size =\"16021504\"]\n  11 [size=\"104360960\", alpha=\"0.13\", expect_size=\"41744384\"] \n  11 -> 29 [size =\"41744384\"]\n  11 -> 30 [size =\"41744384\"]\n  11 -> 31 [size =\"41744384\"]\n  11 -> 32 [size =\"41744384\"]\n  11 -> 35 [size =\"41744384\"]\n  12 [size=\"29852160\", alpha=\"0.10\", expect_size=\"11940864\"] \n  12 -> 29 [size =\"11940864\"]\n  12 -> 30 [size =\"11940864\"]\n  12 -> 31 [size =\"11940864\"]\n  12 -> 35 [size =\"11940864\"]\n  12 -> 35 [size =\"11940864\"]\n  13 [size=\"115077120\", alpha=\"0.19\", expect_size=\"46030848\"] \n  13 -> 30 [size =\"46030848\"]\n  13 -> 32 [size =\"46030848\"]\n  13 -> 34 [size =\"46030848\"]\n  14 [size=\"17310720\", alpha=\"0.19\", expect_size=\"6924288\"] \n  14 -> 26 [size =\"6924288\"]\n  14 -> 27 [size =\"6924288\"]\n  14 -> 29 [size =\"6924288\"]\n  14 -> 34 [size =\"6924288\"]\n  15 [size=\"40143360\", alpha=\"0.13\", expect_size=\"16057344\"] \n  15 -> 26 [size =\"16057344\"]\n  15 -> 29 [size =\"16057344\"]\n  15 -> 30 [size =\"16057344\"]\n  15 -> 31 [size =\"16057344\"]\n  15 -> 32 [size =\"16057344\"]\n  15 -> 35 [size =\"16057344\"]\n  16 [size=\"100710400\", alpha=\"0.07\", expect_size=\"40284160\"] \n  16 -> 27 [size =\"40284160\"]\n  16 -> 29 [size =\"40284160\"]\n  16 -> 31 [size =\"40284160\"]\n  16 -> 34 [size =\"40284160\"]\n  16 -> 35 [size =\"40284160\"]\n  16 -> 35 [size =\"40284160\"]\n  17 [size=\"44172800\", alpha=\"0.11\", expect_size=\"17669120\"] \n  17 -> 25 [size =\"17669120\"]\n  17 -> 32 [size =\"17669120\"]\n  17 -> 34 [size =\"17669120\"]\n  17 -> 35 [size =\"17669120\"]\n  18 [size=\"13591040\", alpha=\"0.07\", expect_size=\"5436416\"] \n  18 -> 28 [size =\"5436416\"]\n  18 -> 31 [size =\"5436416\"]\n  18 -> 32 [size =\"5436416\"]\n  18 -> 34 [size =\"5436416\"]\n  19 [size=\"110581760\", alpha=\"0.16\", expect_size=\"44232704\"] \n  19 -> 28 [size =\"44232704\"]\n  19 -> 30 [size =\"44232704\"]\n  19 -> 31 [size =\"44232704\"]\n  19 -> 32 [size =\"44232704\"]\n  19 -> 34 [size =\"44232704\"]\n  20 [size=\"68267520\", alpha=\"0.10\", expect_size=\"27307008\"] \n  20 -> 32 [size =\"27307008\"]\n  20 -> 34 [size =\"27307008\"]\n  20 -> 35 [size =\"27307008\"]\n  21 [size=\"99159040\", alpha=\"0.02\", expect_size=\"39663616\"] \n  21 -> 31 [size =\"39663616\"]\n  21 -> 32 [size =\"39663616\"]\n  21 -> 35 [size =\"39663616\"]\n  22 [size=\"59735040\", alpha=\"0.07\", expect_size=\"23894016\"] \n  22 -> 29 [size =\"23894016\"]\n  22 -> 34 [size =\"23894016\"]\n  22 -> 35 [size =\"23894016\"]\n  23 [size=\"116997120\", alpha=\"0.02\", expect_size=\"46798848\"] \n  23 -> 28 [size =\"46798848\"]\n  23 -> 29 [size =\"46798848\"]\n  23 -> 30 [size =\"46798848\"]\n  23 -> 32 [size =\"46798848\"]\n  23 -> 35 [size =\"46798848\"]\n  24 [size=\"109178880\", alpha=\"0.06\", expect_size=\"43671552\"] \n  24 -> 29 [size =\"43671552\"]\n  24 -> 29 [size =\"43671552\"]\n  24 -> 30 [size =\"43671552\"]\n  25 [size=\"103697920\", alpha=\"0.07\", expect_size=\"41479168\"] \n  26 [size=\"64693760\", alpha=\"0.11\", expect_size=\"25877504\"] \n  27 [size=\"103485440\", alpha=\"0.10\", expect_size=\"41394176\"] \n  28 [size=\"50201600\", alpha=\"0.18\", expect_size=\"20080640\"] \n  29 [size=\"90278400\", alpha=\"0.07\", expect_size=\"36111360\"] \n  30 [size=\"67161600\", alpha=\"0.02\", expect_size=\"26864640\"] \n  31 [size=\"126389760\", alpha=\"0.11\", expect_size=\"50555904\"] \n  32 [size=\"21135360\", alpha=\"0.04\", expect_size=\"8454144\"] \n  33 [size=\"61109760\", alpha=\"0.13\", expect_size=\"24443904\"] \n  34 [size=\"73282560\", alpha=\"0.04\", expect_size=\"29313024\"] \n  35 [size=\"110796800\", alpha=\"0.19\", expect_size=\"44318720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29184000\", alpha=\"0.14\", expect_size=\"11673600\"] \n  1 -> 8 [size =\"11673600\"]\n  1 -> 9 [size =\"11673600\"]\n  1 -> 11 [size =\"11673600\"]\n  1 -> 12 [size =\"11673600\"]\n  2 [size=\"44344320\", alpha=\"0.16\", expect_size=\"17737728\"] \n  2 -> 7 [size =\"17737728\"]\n  2 -> 10 [size =\"17737728\"]\n  2 -> 11 [size =\"17737728\"]\n  3 [size=\"46415360\", alpha=\"0.17\", expect_size=\"18566144\"] \n  3 -> 7 [size =\"18566144\"]\n  4 [size=\"33433600\", alpha=\"0.17\", expect_size=\"13373440\"] \n  4 -> 7 [size =\"13373440\"]\n  4 -> 8 [size =\"13373440\"]\n  5 [size=\"124433920\", alpha=\"0.03\", expect_size=\"49773568\"] \n  5 -> 9 [size =\"49773568\"]\n  5 -> 10 [size =\"49773568\"]\n  5 -> 12 [size =\"49773568\"]\n  6 [size=\"23206400\", alpha=\"0.05\", expect_size=\"9282560\"] \n  6 -> 8 [size =\"9282560\"]\n  6 -> 9 [size =\"9282560\"]\n  6 -> 11 [size =\"9282560\"]\n  6 -> 12 [size =\"9282560\"]\n  7 [size=\"73984000\", alpha=\"0.16\", expect_size=\"29593600\"] \n  7 -> 14 [size =\"29593600\"]\n  7 -> 16 [size =\"29593600\"]\n  7 -> 17 [size =\"29593600\"]\n  8 [size=\"51860480\", alpha=\"0.13\", expect_size=\"20744192\"] \n  8 -> 14 [size =\"20744192\"]\n  9 [size=\"36072960\", alpha=\"0.04\", expect_size=\"14429184\"] \n  9 -> 15 [size =\"14429184\"]\n  9 -> 16 [size =\"14429184\"]\n  9 -> 17 [size =\"14429184\"]\n  10 [size=\"122242560\", alpha=\"0.04\", expect_size=\"48897024\"] \n  11 [size=\"40317440\", alpha=\"0.07\", expect_size=\"16126976\"] \n  12 [size=\"120768000\", alpha=\"0.13\", expect_size=\"48307200\"] \n  12 -> 13 [size =\"48307200\"]\n  12 -> 15 [size =\"48307200\"]\n  12 -> 16 [size =\"48307200\"]\n  13 [size=\"95710720\", alpha=\"0.15\", expect_size=\"38284288\"] \n  13 -> 18 [size =\"38284288\"]\n  13 -> 19 [size =\"38284288\"]\n  13 -> 20 [size =\"38284288\"]\n  13 -> 22 [size =\"38284288\"]\n  14 [size=\"79854080\", alpha=\"0.16\", expect_size=\"31941632\"] \n  15 [size=\"59980800\", alpha=\"0.12\", expect_size=\"23992320\"] \n  15 -> 21 [size =\"23992320\"]\n  15 -> 22 [size =\"23992320\"]\n  16 [size=\"75481600\", alpha=\"0.17\", expect_size=\"30192640\"] \n  16 -> 18 [size =\"30192640\"]\n  16 -> 20 [size =\"30192640\"]\n  16 -> 21 [size =\"30192640\"]\n  17 [size=\"106539520\", alpha=\"0.04\", expect_size=\"42615808\"] \n  18 [size=\"83640320\", alpha=\"0.12\", expect_size=\"33456128\"] \n  18 -> 23 [size =\"33456128\"]\n  18 -> 26 [size =\"33456128\"]\n  19 [size=\"41123840\", alpha=\"0.10\", expect_size=\"16449536\"] \n  19 -> 26 [size =\"16449536\"]\n  20 [size=\"62287360\", alpha=\"0.10\", expect_size=\"24914944\"] \n  20 -> 24 [size =\"24914944\"]\n  20 -> 27 [size =\"24914944\"]\n  21 [size=\"87754240\", alpha=\"0.12\", expect_size=\"35101696\"] \n  21 -> 24 [size =\"35101696\"]\n  21 -> 27 [size =\"35101696\"]\n  22 [size=\"126364160\", alpha=\"0.19\", expect_size=\"50545664\"] \n  22 -> 23 [size =\"50545664\"]\n  22 -> 24 [size =\"50545664\"]\n  22 -> 25 [size =\"50545664\"]\n  23 [size=\"84154880\", alpha=\"0.12\", expect_size=\"33661952\"] \n  24 [size=\"56806400\", alpha=\"0.09\", expect_size=\"22722560\"] \n  25 [size=\"33576960\", alpha=\"0.05\", expect_size=\"13430784\"] \n  25 -> 28 [size =\"13430784\"]\n  25 -> 30 [size =\"13430784\"]\n  26 [size=\"106434560\", alpha=\"0.02\", expect_size=\"42573824\"] \n  26 -> 29 [size =\"42573824\"]\n  26 -> 30 [size =\"42573824\"]\n  27 [size=\"88980480\", alpha=\"0.09\", expect_size=\"35592192\"] \n  27 -> 28 [size =\"35592192\"]\n  27 -> 29 [size =\"35592192\"]\n  28 [size=\"111104000\", alpha=\"0.03\", expect_size=\"44441600\"] \n  29 [size=\"63150080\", alpha=\"0.01\", expect_size=\"25260032\"] \n  29 -> 31 [size =\"25260032\"]\n  29 -> 33 [size =\"25260032\"]\n  30 [size=\"122949120\", alpha=\"0.18\", expect_size=\"49179648\"] \n  30 -> 32 [size =\"49179648\"]\n  31 [size=\"61721600\", alpha=\"0.19\", expect_size=\"24688640\"] \n  31 -> 34 [size =\"24688640\"]\n  31 -> 35 [size =\"24688640\"]\n  32 [size=\"13509120\", alpha=\"0.18\", expect_size=\"5403648\"] \n  32 -> 34 [size =\"5403648\"]\n  33 [size=\"127513600\", alpha=\"0.12\", expect_size=\"51005440\"] \n  33 -> 35 [size =\"51005440\"]\n  34 [size=\"83153920\", alpha=\"0.16\", expect_size=\"33261568\"] \n  35 [size=\"18718720\", alpha=\"0.09\", expect_size=\"7487488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136420693\", alpha=\"0.04\", expect_size=\"40926208\"] \n  1 -> 4 [size =\"40926208\"]\n  1 -> 5 [size =\"40926208\"]\n  1 -> 6 [size =\"40926208\"]\n  1 -> 7 [size =\"40926208\"]\n  1 -> 8 [size =\"40926208\"]\n  2 [size=\"111745707\", alpha=\"0.08\", expect_size=\"33523712\"] \n  2 -> 4 [size =\"33523712\"]\n  2 -> 6 [size =\"33523712\"]\n  2 -> 8 [size =\"33523712\"]\n  3 [size=\"61276160\", alpha=\"0.05\", expect_size=\"18382848\"] \n  3 -> 4 [size =\"18382848\"]\n  3 -> 5 [size =\"18382848\"]\n  3 -> 8 [size =\"18382848\"]\n  4 [size=\"51490133\", alpha=\"0.13\", expect_size=\"15447040\"] \n  4 -> 9 [size =\"15447040\"]\n  4 -> 13 [size =\"15447040\"]\n  4 -> 13 [size =\"15447040\"]\n  5 [size=\"112919893\", alpha=\"0.01\", expect_size=\"33875968\"] \n  5 -> 9 [size =\"33875968\"]\n  5 -> 10 [size =\"33875968\"]\n  5 -> 12 [size =\"33875968\"]\n  6 [size=\"151118507\", alpha=\"0.15\", expect_size=\"45335552\"] \n  6 -> 12 [size =\"45335552\"]\n  7 [size=\"168700587\", alpha=\"0.10\", expect_size=\"50610176\"] \n  7 -> 11 [size =\"50610176\"]\n  7 -> 12 [size =\"50610176\"]\n  8 [size=\"172687360\", alpha=\"0.11\", expect_size=\"51806208\"] \n  8 -> 11 [size =\"51806208\"]\n  8 -> 12 [size =\"51806208\"]\n  8 -> 13 [size =\"51806208\"]\n  9 [size=\"125153280\", alpha=\"0.15\", expect_size=\"37545984\"] \n  9 -> 14 [size =\"37545984\"]\n  9 -> 15 [size =\"37545984\"]\n  9 -> 16 [size =\"37545984\"]\n  10 [size=\"63016960\", alpha=\"0.00\", expect_size=\"18905088\"] \n  10 -> 14 [size =\"18905088\"]\n  11 [size=\"126409387\", alpha=\"0.16\", expect_size=\"37922816\"] \n  12 [size=\"159385600\", alpha=\"0.19\", expect_size=\"47815680\"] \n  13 [size=\"65221973\", alpha=\"0.20\", expect_size=\"19566592\"] \n  13 -> 14 [size =\"19566592\"]\n  13 -> 15 [size =\"19566592\"]\n  13 -> 17 [size =\"19566592\"]\n  14 [size=\"103079253\", alpha=\"0.08\", expect_size=\"30923776\"] \n  14 -> 18 [size =\"30923776\"]\n  14 -> 21 [size =\"30923776\"]\n  14 -> 22 [size =\"30923776\"]\n  15 [size=\"51039573\", alpha=\"0.07\", expect_size=\"15311872\"] \n  15 -> 18 [size =\"15311872\"]\n  15 -> 21 [size =\"15311872\"]\n  16 [size=\"59432960\", alpha=\"0.11\", expect_size=\"17829888\"] \n  16 -> 21 [size =\"17829888\"]\n  17 [size=\"18708480\", alpha=\"0.16\", expect_size=\"5612544\"] \n  17 -> 19 [size =\"5612544\"]\n  17 -> 20 [size =\"5612544\"]\n  17 -> 22 [size =\"5612544\"]\n  18 [size=\"99478187\", alpha=\"0.20\", expect_size=\"29843456\"] \n  18 -> 25 [size =\"29843456\"]\n  19 [size=\"31528960\", alpha=\"0.16\", expect_size=\"9458688\"] \n  19 -> 26 [size =\"9458688\"]\n  20 [size=\"149944320\", alpha=\"0.01\", expect_size=\"44983296\"] \n  20 -> 24 [size =\"44983296\"]\n  20 -> 25 [size =\"44983296\"]\n  20 -> 26 [size =\"44983296\"]\n  20 -> 27 [size =\"44983296\"]\n  21 [size=\"152657920\", alpha=\"0.02\", expect_size=\"45797376\"] \n  21 -> 24 [size =\"45797376\"]\n  21 -> 27 [size =\"45797376\"]\n  22 [size=\"122002773\", alpha=\"0.15\", expect_size=\"36600832\"] \n  22 -> 23 [size =\"36600832\"]\n  22 -> 25 [size =\"36600832\"]\n  23 [size=\"111185920\", alpha=\"0.14\", expect_size=\"33355776\"] \n  23 -> 28 [size =\"33355776\"]\n  23 -> 29 [size =\"33355776\"]\n  24 [size=\"109144747\", alpha=\"0.17\", expect_size=\"32743424\"] \n  24 -> 28 [size =\"32743424\"]\n  24 -> 29 [size =\"32743424\"]\n  25 [size=\"18121387\", alpha=\"0.12\", expect_size=\"5436416\"] \n  25 -> 28 [size =\"5436416\"]\n  25 -> 29 [size =\"5436416\"]\n  26 [size=\"74769067\", alpha=\"0.04\", expect_size=\"22430720\"] \n  26 -> 28 [size =\"22430720\"]\n  26 -> 31 [size =\"22430720\"]\n  27 [size=\"164911787\", alpha=\"0.15\", expect_size=\"49473536\"] \n  27 -> 29 [size =\"49473536\"]\n  27 -> 30 [size =\"49473536\"]\n  28 [size=\"137110187\", alpha=\"0.06\", expect_size=\"41133056\"] \n  28 -> 32 [size =\"41133056\"]\n  28 -> 33 [size =\"41133056\"]\n  28 -> 34 [size =\"41133056\"]\n  29 [size=\"135536640\", alpha=\"0.11\", expect_size=\"40660992\"] \n  29 -> 32 [size =\"40660992\"]\n  29 -> 33 [size =\"40660992\"]\n  29 -> 34 [size =\"40660992\"]\n  30 [size=\"100259840\", alpha=\"0.02\", expect_size=\"30077952\"] \n  30 -> 35 [size =\"30077952\"]\n  31 [size=\"111438507\", alpha=\"0.06\", expect_size=\"33431552\"] \n  31 -> 32 [size =\"33431552\"]\n  31 -> 33 [size =\"33431552\"]\n  32 [size=\"130730667\", alpha=\"0.08\", expect_size=\"39219200\"] \n  33 [size=\"95129600\", alpha=\"0.17\", expect_size=\"28538880\"] \n  34 [size=\"48424960\", alpha=\"0.16\", expect_size=\"14527488\"] \n  35 [size=\"24640853\", alpha=\"0.20\", expect_size=\"7392256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88285184\", alpha=\"0.19\", expect_size=\"44142592\"] \n  1 -> 16 [size =\"44142592\"]\n  1 -> 19 [size =\"44142592\"]\n  1 -> 21 [size =\"44142592\"]\n  1 -> 23 [size =\"44142592\"]\n  1 -> 25 [size =\"44142592\"]\n  2 [size=\"56287232\", alpha=\"0.07\", expect_size=\"28143616\"] \n  2 -> 14 [size =\"28143616\"]\n  2 -> 15 [size =\"28143616\"]\n  2 -> 22 [size =\"28143616\"]\n  3 [size=\"53489664\", alpha=\"0.08\", expect_size=\"26744832\"] \n  3 -> 14 [size =\"26744832\"]\n  3 -> 16 [size =\"26744832\"]\n  3 -> 21 [size =\"26744832\"]\n  3 -> 23 [size =\"26744832\"]\n  4 [size=\"50753536\", alpha=\"0.15\", expect_size=\"25376768\"] \n  4 -> 14 [size =\"25376768\"]\n  4 -> 16 [size =\"25376768\"]\n  4 -> 21 [size =\"25376768\"]\n  4 -> 24 [size =\"25376768\"]\n  5 [size=\"102242304\", alpha=\"0.15\", expect_size=\"51121152\"] \n  5 -> 16 [size =\"51121152\"]\n  5 -> 18 [size =\"51121152\"]\n  6 [size=\"87607296\", alpha=\"0.05\", expect_size=\"43803648\"] \n  6 -> 14 [size =\"43803648\"]\n  6 -> 18 [size =\"43803648\"]\n  6 -> 19 [size =\"43803648\"]\n  6 -> 20 [size =\"43803648\"]\n  6 -> 21 [size =\"43803648\"]\n  6 -> 22 [size =\"43803648\"]\n  7 [size=\"61722624\", alpha=\"0.02\", expect_size=\"30861312\"] \n  7 -> 16 [size =\"30861312\"]\n  7 -> 18 [size =\"30861312\"]\n  7 -> 19 [size =\"30861312\"]\n  7 -> 21 [size =\"30861312\"]\n  7 -> 22 [size =\"30861312\"]\n  8 [size=\"73396224\", alpha=\"0.18\", expect_size=\"36698112\"] \n  8 -> 18 [size =\"36698112\"]\n  8 -> 21 [size =\"36698112\"]\n  8 -> 23 [size =\"36698112\"]\n  8 -> 24 [size =\"36698112\"]\n  9 [size=\"23162880\", alpha=\"0.02\", expect_size=\"11581440\"] \n  9 -> 16 [size =\"11581440\"]\n  9 -> 18 [size =\"11581440\"]\n  9 -> 20 [size =\"11581440\"]\n  9 -> 22 [size =\"11581440\"]\n  9 -> 25 [size =\"11581440\"]\n  10 [size=\"47331328\", alpha=\"0.13\", expect_size=\"23665664\"] \n  10 -> 16 [size =\"23665664\"]\n  10 -> 17 [size =\"23665664\"]\n  10 -> 23 [size =\"23665664\"]\n  10 -> 24 [size =\"23665664\"]\n  10 -> 25 [size =\"23665664\"]\n  11 [size=\"68323328\", alpha=\"0.02\", expect_size=\"34161664\"] \n  11 -> 18 [size =\"34161664\"]\n  11 -> 19 [size =\"34161664\"]\n  11 -> 20 [size =\"34161664\"]\n  11 -> 22 [size =\"34161664\"]\n  11 -> 23 [size =\"34161664\"]\n  11 -> 24 [size =\"34161664\"]\n  12 [size=\"63535104\", alpha=\"0.12\", expect_size=\"31767552\"] \n  12 -> 14 [size =\"31767552\"]\n  12 -> 19 [size =\"31767552\"]\n  13 [size=\"97980416\", alpha=\"0.07\", expect_size=\"48990208\"] \n  13 -> 16 [size =\"48990208\"]\n  13 -> 19 [size =\"48990208\"]\n  13 -> 21 [size =\"48990208\"]\n  13 -> 24 [size =\"48990208\"]\n  14 [size=\"43311104\", alpha=\"0.17\", expect_size=\"21655552\"] \n  14 -> 26 [size =\"21655552\"]\n  14 -> 27 [size =\"21655552\"]\n  14 -> 31 [size =\"21655552\"]\n  14 -> 35 [size =\"21655552\"]\n  15 [size=\"20576256\", alpha=\"0.19\", expect_size=\"10288128\"] \n  15 -> 29 [size =\"10288128\"]\n  15 -> 33 [size =\"10288128\"]\n  16 [size=\"90607616\", alpha=\"0.19\", expect_size=\"45303808\"] \n  16 -> 28 [size =\"45303808\"]\n  16 -> 33 [size =\"45303808\"]\n  16 -> 35 [size =\"45303808\"]\n  17 [size=\"19712000\", alpha=\"0.08\", expect_size=\"9856000\"] \n  17 -> 28 [size =\"9856000\"]\n  17 -> 29 [size =\"9856000\"]\n  17 -> 33 [size =\"9856000\"]\n  17 -> 34 [size =\"9856000\"]\n  18 [size=\"28123136\", alpha=\"0.02\", expect_size=\"14061568\"] \n  18 -> 26 [size =\"14061568\"]\n  18 -> 31 [size =\"14061568\"]\n  18 -> 34 [size =\"14061568\"]\n  18 -> 34 [size =\"14061568\"]\n  18 -> 35 [size =\"14061568\"]\n  19 [size=\"16640000\", alpha=\"0.16\", expect_size=\"8320000\"] \n  19 -> 26 [size =\"8320000\"]\n  19 -> 31 [size =\"8320000\"]\n  19 -> 33 [size =\"8320000\"]\n  19 -> 34 [size =\"8320000\"]\n  19 -> 35 [size =\"8320000\"]\n  20 [size=\"27207680\", alpha=\"0.05\", expect_size=\"13603840\"] \n  20 -> 29 [size =\"13603840\"]\n  20 -> 33 [size =\"13603840\"]\n  20 -> 34 [size =\"13603840\"]\n  21 [size=\"87255040\", alpha=\"0.11\", expect_size=\"43627520\"] \n  21 -> 31 [size =\"43627520\"]\n  21 -> 35 [size =\"43627520\"]\n  22 [size=\"97611776\", alpha=\"0.07\", expect_size=\"48805888\"] \n  22 -> 29 [size =\"48805888\"]\n  22 -> 30 [size =\"48805888\"]\n  22 -> 31 [size =\"48805888\"]\n  22 -> 32 [size =\"48805888\"]\n  22 -> 33 [size =\"48805888\"]\n  22 -> 34 [size =\"48805888\"]\n  23 [size=\"60190720\", alpha=\"0.12\", expect_size=\"30095360\"] \n  23 -> 28 [size =\"30095360\"]\n  23 -> 29 [size =\"30095360\"]\n  23 -> 31 [size =\"30095360\"]\n  23 -> 32 [size =\"30095360\"]\n  23 -> 33 [size =\"30095360\"]\n  24 [size=\"91600896\", alpha=\"0.05\", expect_size=\"45800448\"] \n  24 -> 26 [size =\"45800448\"]\n  24 -> 28 [size =\"45800448\"]\n  24 -> 29 [size =\"45800448\"]\n  25 [size=\"76376064\", alpha=\"0.18\", expect_size=\"38188032\"] \n  25 -> 26 [size =\"38188032\"]\n  25 -> 29 [size =\"38188032\"]\n  25 -> 33 [size =\"38188032\"]\n  25 -> 34 [size =\"38188032\"]\n  26 [size=\"71063552\", alpha=\"0.07\", expect_size=\"35531776\"] \n  27 [size=\"65193984\", alpha=\"0.07\", expect_size=\"32596992\"] \n  28 [size=\"102764544\", alpha=\"0.20\", expect_size=\"51382272\"] \n  29 [size=\"17750016\", alpha=\"0.16\", expect_size=\"8875008\"] \n  30 [size=\"93138944\", alpha=\"0.19\", expect_size=\"46569472\"] \n  31 [size=\"24186880\", alpha=\"0.15\", expect_size=\"12093440\"] \n  32 [size=\"77434880\", alpha=\"0.03\", expect_size=\"38717440\"] \n  33 [size=\"15572992\", alpha=\"0.08\", expect_size=\"7786496\"] \n  34 [size=\"70346752\", alpha=\"0.01\", expect_size=\"35173376\"] \n  35 [size=\"93282304\", alpha=\"0.16\", expect_size=\"46641152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153292800\", alpha=\"0.03\", expect_size=\"45987840\"] \n  1 -> 2 [size =\"45987840\"]\n  2 [size=\"42106880\", alpha=\"0.11\", expect_size=\"12632064\"] \n  2 -> 3 [size =\"12632064\"]\n  2 -> 4 [size =\"12632064\"]\n  3 [size=\"156064427\", alpha=\"0.13\", expect_size=\"46819328\"] \n  3 -> 5 [size =\"46819328\"]\n  3 -> 6 [size =\"46819328\"]\n  4 [size=\"75362987\", alpha=\"0.09\", expect_size=\"22608896\"] \n  4 -> 5 [size =\"22608896\"]\n  4 -> 6 [size =\"22608896\"]\n  5 [size=\"69700267\", alpha=\"0.07\", expect_size=\"20910080\"] \n  5 -> 8 [size =\"20910080\"]\n  6 [size=\"23592960\", alpha=\"0.17\", expect_size=\"7077888\"] \n  6 -> 7 [size =\"7077888\"]\n  6 -> 8 [size =\"7077888\"]\n  7 [size=\"121852587\", alpha=\"0.02\", expect_size=\"36555776\"] \n  7 -> 9 [size =\"36555776\"]\n  7 -> 10 [size =\"36555776\"]\n  8 [size=\"79274667\", alpha=\"0.16\", expect_size=\"23782400\"] \n  8 -> 9 [size =\"23782400\"]\n  8 -> 10 [size =\"23782400\"]\n  9 [size=\"62283093\", alpha=\"0.12\", expect_size=\"18684928\"] \n  9 -> 11 [size =\"18684928\"]\n  9 -> 12 [size =\"18684928\"]\n  10 [size=\"94487893\", alpha=\"0.10\", expect_size=\"28346368\"] \n  10 -> 12 [size =\"28346368\"]\n  11 [size=\"118606507\", alpha=\"0.17\", expect_size=\"35581952\"] \n  11 -> 14 [size =\"35581952\"]\n  12 [size=\"138871467\", alpha=\"0.03\", expect_size=\"41661440\"] \n  12 -> 13 [size =\"41661440\"]\n  13 [size=\"64897707\", alpha=\"0.08\", expect_size=\"19469312\"] \n  14 [size=\"163744427\", alpha=\"0.20\", expect_size=\"49123328\"] \n  14 -> 15 [size =\"49123328\"]\n  15 [size=\"78510080\", alpha=\"0.08\", expect_size=\"23553024\"] \n  15 -> 16 [size =\"23553024\"]\n  15 -> 17 [size =\"23553024\"]\n  16 [size=\"133768533\", alpha=\"0.09\", expect_size=\"40130560\"] \n  16 -> 19 [size =\"40130560\"]\n  17 [size=\"107028480\", alpha=\"0.04\", expect_size=\"32108544\"] \n  17 -> 18 [size =\"32108544\"]\n  18 [size=\"119248213\", alpha=\"0.02\", expect_size=\"35774464\"] \n  19 [size=\"91511467\", alpha=\"0.08\", expect_size=\"27453440\"] \n  19 -> 20 [size =\"27453440\"]\n  20 [size=\"28344320\", alpha=\"0.02\", expect_size=\"8503296\"] \n  20 -> 21 [size =\"8503296\"]\n  20 -> 22 [size =\"8503296\"]\n  21 [size=\"106441387\", alpha=\"0.12\", expect_size=\"31932416\"] \n  21 -> 23 [size =\"31932416\"]\n  22 [size=\"80165547\", alpha=\"0.06\", expect_size=\"24049664\"] \n  23 [size=\"101587627\", alpha=\"0.17\", expect_size=\"30476288\"] \n  23 -> 24 [size =\"30476288\"]\n  23 -> 25 [size =\"30476288\"]\n  24 [size=\"161600853\", alpha=\"0.16\", expect_size=\"48480256\"] \n  24 -> 27 [size =\"48480256\"]\n  25 [size=\"158057813\", alpha=\"0.01\", expect_size=\"47417344\"] \n  25 -> 26 [size =\"47417344\"]\n  25 -> 27 [size =\"47417344\"]\n  26 [size=\"66013867\", alpha=\"0.07\", expect_size=\"19804160\"] \n  26 -> 28 [size =\"19804160\"]\n  27 [size=\"134519467\", alpha=\"0.06\", expect_size=\"40355840\"] \n  27 -> 28 [size =\"40355840\"]\n  28 [size=\"166608213\", alpha=\"0.13\", expect_size=\"49982464\"] \n  28 -> 29 [size =\"49982464\"]\n  28 -> 30 [size =\"49982464\"]\n  29 [size=\"22029653\", alpha=\"0.06\", expect_size=\"6608896\"] \n  30 [size=\"88784213\", alpha=\"0.09\", expect_size=\"26635264\"] \n  30 -> 31 [size =\"26635264\"]\n  31 [size=\"101973333\", alpha=\"0.04\", expect_size=\"30592000\"] \n  31 -> 32 [size =\"30592000\"]\n  32 [size=\"40137387\", alpha=\"0.15\", expect_size=\"12041216\"] \n  32 -> 33 [size =\"12041216\"]\n  32 -> 34 [size =\"12041216\"]\n  33 [size=\"85193387\", alpha=\"0.12\", expect_size=\"25558016\"] \n  34 [size=\"61156693\", alpha=\"0.07\", expect_size=\"18347008\"] \n  34 -> 35 [size =\"18347008\"]\n  35 [size=\"25917440\", alpha=\"0.11\", expect_size=\"7775232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138574507\", alpha=\"0.07\", expect_size=\"41572352\"] \n  1 -> 2 [size =\"41572352\"]\n  2 [size=\"87698773\", alpha=\"0.12\", expect_size=\"26309632\"] \n  2 -> 3 [size =\"26309632\"]\n  3 [size=\"130239147\", alpha=\"0.13\", expect_size=\"39071744\"] \n  3 -> 4 [size =\"39071744\"]\n  4 [size=\"85688320\", alpha=\"0.10\", expect_size=\"25706496\"] \n  4 -> 5 [size =\"25706496\"]\n  5 [size=\"138540373\", alpha=\"0.01\", expect_size=\"41562112\"] \n  5 -> 6 [size =\"41562112\"]\n  6 [size=\"161658880\", alpha=\"0.17\", expect_size=\"48497664\"] \n  6 -> 7 [size =\"48497664\"]\n  7 [size=\"126778027\", alpha=\"0.09\", expect_size=\"38033408\"] \n  7 -> 8 [size =\"38033408\"]\n  8 [size=\"146640213\", alpha=\"0.17\", expect_size=\"43992064\"] \n  8 -> 9 [size =\"43992064\"]\n  9 [size=\"159143253\", alpha=\"0.05\", expect_size=\"47742976\"] \n  9 -> 10 [size =\"47742976\"]\n  10 [size=\"125440000\", alpha=\"0.11\", expect_size=\"37632000\"] \n  10 -> 11 [size =\"37632000\"]\n  11 [size=\"108588373\", alpha=\"0.14\", expect_size=\"32576512\"] \n  11 -> 12 [size =\"32576512\"]\n  12 [size=\"159723520\", alpha=\"0.08\", expect_size=\"47917056\"] \n  12 -> 13 [size =\"47917056\"]\n  13 [size=\"100420267\", alpha=\"0.04\", expect_size=\"30126080\"] \n  13 -> 14 [size =\"30126080\"]\n  14 [size=\"46810453\", alpha=\"0.15\", expect_size=\"14043136\"] \n  14 -> 15 [size =\"14043136\"]\n  15 [size=\"121555627\", alpha=\"0.02\", expect_size=\"36466688\"] \n  15 -> 16 [size =\"36466688\"]\n  16 [size=\"132853760\", alpha=\"0.10\", expect_size=\"39856128\"] \n  16 -> 17 [size =\"39856128\"]\n  17 [size=\"107649707\", alpha=\"0.19\", expect_size=\"32294912\"] \n  17 -> 18 [size =\"32294912\"]\n  18 [size=\"18725547\", alpha=\"0.03\", expect_size=\"5617664\"] \n  18 -> 19 [size =\"5617664\"]\n  19 [size=\"154453333\", alpha=\"0.14\", expect_size=\"46336000\"] \n  19 -> 20 [size =\"46336000\"]\n  20 [size=\"33631573\", alpha=\"0.17\", expect_size=\"10089472\"] \n  20 -> 21 [size =\"10089472\"]\n  21 [size=\"118019413\", alpha=\"0.15\", expect_size=\"35405824\"] \n  21 -> 22 [size =\"35405824\"]\n  22 [size=\"67232427\", alpha=\"0.02\", expect_size=\"20169728\"] \n  22 -> 23 [size =\"20169728\"]\n  23 [size=\"131481600\", alpha=\"0.03\", expect_size=\"39444480\"] \n  23 -> 24 [size =\"39444480\"]\n  24 [size=\"164952747\", alpha=\"0.14\", expect_size=\"49485824\"] \n  24 -> 25 [size =\"49485824\"]\n  25 [size=\"125330773\", alpha=\"0.19\", expect_size=\"37599232\"] \n  25 -> 26 [size =\"37599232\"]\n  26 [size=\"139325440\", alpha=\"0.03\", expect_size=\"41797632\"] \n  26 -> 27 [size =\"41797632\"]\n  27 [size=\"56849067\", alpha=\"0.00\", expect_size=\"17054720\"] \n  27 -> 28 [size =\"17054720\"]\n  28 [size=\"48155307\", alpha=\"0.14\", expect_size=\"14446592\"] \n  28 -> 29 [size =\"14446592\"]\n  29 [size=\"70420480\", alpha=\"0.07\", expect_size=\"21126144\"] \n  29 -> 30 [size =\"21126144\"]\n  30 [size=\"26036907\", alpha=\"0.12\", expect_size=\"7811072\"] \n  30 -> 31 [size =\"7811072\"]\n  31 [size=\"160064853\", alpha=\"0.10\", expect_size=\"48019456\"] \n  31 -> 32 [size =\"48019456\"]\n  32 [size=\"121733120\", alpha=\"0.05\", expect_size=\"36519936\"] \n  32 -> 33 [size =\"36519936\"]\n  33 [size=\"138560853\", alpha=\"0.11\", expect_size=\"41568256\"] \n  33 -> 34 [size =\"41568256\"]\n  34 [size=\"166024533\", alpha=\"0.01\", expect_size=\"49807360\"] \n  34 -> 35 [size =\"49807360\"]\n  35 [size=\"115046400\", alpha=\"0.04\", expect_size=\"34513920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108622507\", alpha=\"0.13\", expect_size=\"32586752\"] \n  1 -> 15 [size =\"32586752\"]\n  1 -> 16 [size =\"32586752\"]\n  1 -> 17 [size =\"32586752\"]\n  1 -> 18 [size =\"32586752\"]\n  2 [size=\"137990827\", alpha=\"0.09\", expect_size=\"41397248\"] \n  2 -> 15 [size =\"41397248\"]\n  2 -> 16 [size =\"41397248\"]\n  2 -> 17 [size =\"41397248\"]\n  2 -> 20 [size =\"41397248\"]\n  3 [size=\"141598720\", alpha=\"0.17\", expect_size=\"42479616\"] \n  3 -> 16 [size =\"42479616\"]\n  3 -> 17 [size =\"42479616\"]\n  3 -> 19 [size =\"42479616\"]\n  3 -> 20 [size =\"42479616\"]\n  4 [size=\"67850240\", alpha=\"0.15\", expect_size=\"20355072\"] \n  4 -> 20 [size =\"20355072\"]\n  5 [size=\"127501653\", alpha=\"0.10\", expect_size=\"38250496\"] \n  5 -> 15 [size =\"38250496\"]\n  5 -> 16 [size =\"38250496\"]\n  5 -> 17 [size =\"38250496\"]\n  5 -> 18 [size =\"38250496\"]\n  5 -> 20 [size =\"38250496\"]\n  5 -> 22 [size =\"38250496\"]\n  6 [size=\"91610453\", alpha=\"0.18\", expect_size=\"27483136\"] \n  6 -> 14 [size =\"27483136\"]\n  6 -> 18 [size =\"27483136\"]\n  6 -> 19 [size =\"27483136\"]\n  6 -> 22 [size =\"27483136\"]\n  6 -> 23 [size =\"27483136\"]\n  7 [size=\"46581760\", alpha=\"0.11\", expect_size=\"13974528\"] \n  7 -> 19 [size =\"13974528\"]\n  7 -> 20 [size =\"13974528\"]\n  8 [size=\"109755733\", alpha=\"0.06\", expect_size=\"32926720\"] \n  8 -> 14 [size =\"32926720\"]\n  8 -> 19 [size =\"32926720\"]\n  8 -> 22 [size =\"32926720\"]\n  9 [size=\"59487573\", alpha=\"0.12\", expect_size=\"17846272\"] \n  9 -> 20 [size =\"17846272\"]\n  9 -> 21 [size =\"17846272\"]\n  9 -> 22 [size =\"17846272\"]\n  9 -> 23 [size =\"17846272\"]\n  10 [size=\"47499947\", alpha=\"0.13\", expect_size=\"14249984\"] \n  10 -> 18 [size =\"14249984\"]\n  10 -> 21 [size =\"14249984\"]\n  10 -> 23 [size =\"14249984\"]\n  11 [size=\"165198507\", alpha=\"0.18\", expect_size=\"49559552\"] \n  11 -> 15 [size =\"49559552\"]\n  11 -> 16 [size =\"49559552\"]\n  11 -> 19 [size =\"49559552\"]\n  11 -> 20 [size =\"49559552\"]\n  11 -> 21 [size =\"49559552\"]\n  11 -> 22 [size =\"49559552\"]\n  11 -> 23 [size =\"49559552\"]\n  12 [size=\"110991360\", alpha=\"0.12\", expect_size=\"33297408\"] \n  12 -> 14 [size =\"33297408\"]\n  12 -> 17 [size =\"33297408\"]\n  12 -> 21 [size =\"33297408\"]\n  12 -> 22 [size =\"33297408\"]\n  12 -> 23 [size =\"33297408\"]\n  13 [size=\"27371520\", alpha=\"0.00\", expect_size=\"8211456\"] \n  13 -> 21 [size =\"8211456\"]\n  13 -> 22 [size =\"8211456\"]\n  14 [size=\"159505067\", alpha=\"0.05\", expect_size=\"47851520\"] \n  14 -> 26 [size =\"47851520\"]\n  15 [size=\"118084267\", alpha=\"0.01\", expect_size=\"35425280\"] \n  15 -> 24 [size =\"35425280\"]\n  15 -> 26 [size =\"35425280\"]\n  15 -> 30 [size =\"35425280\"]\n  15 -> 32 [size =\"35425280\"]\n  16 [size=\"37003947\", alpha=\"0.05\", expect_size=\"11101184\"] \n  16 -> 25 [size =\"11101184\"]\n  16 -> 26 [size =\"11101184\"]\n  16 -> 29 [size =\"11101184\"]\n  17 [size=\"17783467\", alpha=\"0.01\", expect_size=\"5335040\"] \n  17 -> 25 [size =\"5335040\"]\n  17 -> 28 [size =\"5335040\"]\n  18 [size=\"105140907\", alpha=\"0.04\", expect_size=\"31542272\"] \n  18 -> 26 [size =\"31542272\"]\n  19 [size=\"155535360\", alpha=\"0.04\", expect_size=\"46660608\"] \n  19 -> 24 [size =\"46660608\"]\n  19 -> 27 [size =\"46660608\"]\n  19 -> 31 [size =\"46660608\"]\n  19 -> 33 [size =\"46660608\"]\n  20 [size=\"92876800\", alpha=\"0.04\", expect_size=\"27863040\"] \n  20 -> 24 [size =\"27863040\"]\n  20 -> 28 [size =\"27863040\"]\n  20 -> 33 [size =\"27863040\"]\n  21 [size=\"36577280\", alpha=\"0.16\", expect_size=\"10973184\"] \n  21 -> 24 [size =\"10973184\"]\n  21 -> 25 [size =\"10973184\"]\n  21 -> 29 [size =\"10973184\"]\n  21 -> 32 [size =\"10973184\"]\n  22 [size=\"23777280\", alpha=\"0.03\", expect_size=\"7133184\"] \n  22 -> 25 [size =\"7133184\"]\n  22 -> 27 [size =\"7133184\"]\n  22 -> 29 [size =\"7133184\"]\n  22 -> 31 [size =\"7133184\"]\n  22 -> 32 [size =\"7133184\"]\n  23 [size=\"121183573\", alpha=\"0.06\", expect_size=\"36355072\"] \n  23 -> 29 [size =\"36355072\"]\n  23 -> 30 [size =\"36355072\"]\n  24 [size=\"123460267\", alpha=\"0.15\", expect_size=\"37038080\"] \n  25 [size=\"159133013\", alpha=\"0.19\", expect_size=\"47739904\"] \n  25 -> 35 [size =\"47739904\"]\n  26 [size=\"168355840\", alpha=\"0.11\", expect_size=\"50506752\"] \n  26 -> 34 [size =\"50506752\"]\n  27 [size=\"49824427\", alpha=\"0.08\", expect_size=\"14947328\"] \n  27 -> 34 [size =\"14947328\"]\n  27 -> 35 [size =\"14947328\"]\n  28 [size=\"60501333\", alpha=\"0.16\", expect_size=\"18150400\"] \n  29 [size=\"93754027\", alpha=\"0.09\", expect_size=\"28126208\"] \n  29 -> 34 [size =\"28126208\"]\n  30 [size=\"127450453\", alpha=\"0.06\", expect_size=\"38235136\"] \n  30 -> 34 [size =\"38235136\"]\n  31 [size=\"162259627\", alpha=\"0.02\", expect_size=\"48677888\"] \n  31 -> 34 [size =\"48677888\"]\n  32 [size=\"132041387\", alpha=\"0.10\", expect_size=\"39612416\"] \n  33 [size=\"157306880\", alpha=\"0.20\", expect_size=\"47192064\"] \n  34 [size=\"47612587\", alpha=\"0.07\", expect_size=\"14283776\"] \n  35 [size=\"167905280\", alpha=\"0.07\", expect_size=\"50371584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30279680\", alpha=\"0.19\", expect_size=\"12111872\"] \n  1 -> 29 [size =\"12111872\"]\n  1 -> 31 [size =\"12111872\"]\n  1 -> 34 [size =\"12111872\"]\n  1 -> 35 [size =\"12111872\"]\n  2 [size=\"38809600\", alpha=\"0.17\", expect_size=\"15523840\"] \n  2 -> 26 [size =\"15523840\"]\n  2 -> 31 [size =\"15523840\"]\n  3 [size=\"49794560\", alpha=\"0.06\", expect_size=\"19917824\"] \n  3 -> 26 [size =\"19917824\"]\n  3 -> 31 [size =\"19917824\"]\n  4 [size=\"97804800\", alpha=\"0.08\", expect_size=\"39121920\"] \n  4 -> 26 [size =\"39121920\"]\n  4 -> 31 [size =\"39121920\"]\n  4 -> 32 [size =\"39121920\"]\n  4 -> 33 [size =\"39121920\"]\n  4 -> 34 [size =\"39121920\"]\n  4 -> 35 [size =\"39121920\"]\n  5 [size=\"94970880\", alpha=\"0.11\", expect_size=\"37988352\"] \n  5 -> 26 [size =\"37988352\"]\n  5 -> 30 [size =\"37988352\"]\n  5 -> 31 [size =\"37988352\"]\n  5 -> 35 [size =\"37988352\"]\n  6 [size=\"114337280\", alpha=\"0.06\", expect_size=\"45734912\"] \n  6 -> 26 [size =\"45734912\"]\n  6 -> 27 [size =\"45734912\"]\n  6 -> 31 [size =\"45734912\"]\n  6 -> 32 [size =\"45734912\"]\n  6 -> 33 [size =\"45734912\"]\n  7 [size=\"51957760\", alpha=\"0.12\", expect_size=\"20783104\"] \n  7 -> 26 [size =\"20783104\"]\n  7 -> 31 [size =\"20783104\"]\n  7 -> 33 [size =\"20783104\"]\n  8 [size=\"79101440\", alpha=\"0.11\", expect_size=\"31640576\"] \n  8 -> 29 [size =\"31640576\"]\n  8 -> 33 [size =\"31640576\"]\n  8 -> 34 [size =\"31640576\"]\n  8 -> 35 [size =\"31640576\"]\n  9 [size=\"19868160\", alpha=\"0.19\", expect_size=\"7947264\"] \n  9 -> 29 [size =\"7947264\"]\n  9 -> 32 [size =\"7947264\"]\n  9 -> 33 [size =\"7947264\"]\n  9 -> 34 [size =\"7947264\"]\n  10 [size=\"86599680\", alpha=\"0.12\", expect_size=\"34639872\"] \n  10 -> 26 [size =\"34639872\"]\n  10 -> 29 [size =\"34639872\"]\n  10 -> 31 [size =\"34639872\"]\n  10 -> 34 [size =\"34639872\"]\n  11 [size=\"125312000\", alpha=\"0.19\", expect_size=\"50124800\"] \n  11 -> 32 [size =\"50124800\"]\n  11 -> 33 [size =\"50124800\"]\n  11 -> 34 [size =\"50124800\"]\n  12 [size=\"118814720\", alpha=\"0.17\", expect_size=\"47525888\"] \n  12 -> 30 [size =\"47525888\"]\n  12 -> 31 [size =\"47525888\"]\n  12 -> 33 [size =\"47525888\"]\n  12 -> 34 [size =\"47525888\"]\n  13 [size=\"101486080\", alpha=\"0.10\", expect_size=\"40594432\"] \n  13 -> 34 [size =\"40594432\"]\n  13 -> 35 [size =\"40594432\"]\n  14 [size=\"19430400\", alpha=\"0.13\", expect_size=\"7772160\"] \n  14 -> 27 [size =\"7772160\"]\n  14 -> 29 [size =\"7772160\"]\n  14 -> 31 [size =\"7772160\"]\n  14 -> 32 [size =\"7772160\"]\n  14 -> 33 [size =\"7772160\"]\n  14 -> 35 [size =\"7772160\"]\n  15 [size=\"68915200\", alpha=\"0.16\", expect_size=\"27566080\"] \n  15 -> 25 [size =\"27566080\"]\n  15 -> 26 [size =\"27566080\"]\n  15 -> 27 [size =\"27566080\"]\n  15 -> 31 [size =\"27566080\"]\n  15 -> 32 [size =\"27566080\"]\n  15 -> 35 [size =\"27566080\"]\n  16 [size=\"16747520\", alpha=\"0.03\", expect_size=\"6699008\"] \n  16 -> 26 [size =\"6699008\"]\n  16 -> 26 [size =\"6699008\"]\n  16 -> 29 [size =\"6699008\"]\n  16 -> 30 [size =\"6699008\"]\n  17 [size=\"50880000\", alpha=\"0.03\", expect_size=\"20352000\"] \n  17 -> 26 [size =\"20352000\"]\n  17 -> 27 [size =\"20352000\"]\n  17 -> 29 [size =\"20352000\"]\n  17 -> 33 [size =\"20352000\"]\n  17 -> 35 [size =\"20352000\"]\n  18 [size=\"119808000\", alpha=\"0.13\", expect_size=\"47923200\"] \n  18 -> 26 [size =\"47923200\"]\n  18 -> 29 [size =\"47923200\"]\n  18 -> 34 [size =\"47923200\"]\n  18 -> 35 [size =\"47923200\"]\n  18 -> 35 [size =\"47923200\"]\n  19 [size=\"65328640\", alpha=\"0.07\", expect_size=\"26131456\"] \n  19 -> 26 [size =\"26131456\"]\n  19 -> 30 [size =\"26131456\"]\n  19 -> 33 [size =\"26131456\"]\n  19 -> 34 [size =\"26131456\"]\n  20 [size=\"58757120\", alpha=\"0.04\", expect_size=\"23502848\"] \n  20 -> 34 [size =\"23502848\"]\n  21 [size=\"127649280\", alpha=\"0.04\", expect_size=\"51059712\"] \n  21 -> 26 [size =\"51059712\"]\n  21 -> 27 [size =\"51059712\"]\n  21 -> 34 [size =\"51059712\"]\n  22 [size=\"124316160\", alpha=\"0.08\", expect_size=\"49726464\"] \n  22 -> 25 [size =\"49726464\"]\n  22 -> 29 [size =\"49726464\"]\n  22 -> 32 [size =\"49726464\"]\n  22 -> 34 [size =\"49726464\"]\n  23 [size=\"106432000\", alpha=\"0.18\", expect_size=\"42572800\"] \n  23 -> 28 [size =\"42572800\"]\n  23 -> 29 [size =\"42572800\"]\n  23 -> 31 [size =\"42572800\"]\n  23 -> 32 [size =\"42572800\"]\n  23 -> 33 [size =\"42572800\"]\n  23 -> 34 [size =\"42572800\"]\n  24 [size=\"45734400\", alpha=\"0.02\", expect_size=\"18293760\"] \n  24 -> 29 [size =\"18293760\"]\n  24 -> 31 [size =\"18293760\"]\n  24 -> 34 [size =\"18293760\"]\n  25 [size=\"119772160\", alpha=\"0.01\", expect_size=\"47908864\"] \n  26 [size=\"94190080\", alpha=\"0.16\", expect_size=\"37676032\"] \n  27 [size=\"112343040\", alpha=\"0.18\", expect_size=\"44937216\"] \n  28 [size=\"128885760\", alpha=\"0.12\", expect_size=\"51554304\"] \n  29 [size=\"88202240\", alpha=\"0.06\", expect_size=\"35280896\"] \n  30 [size=\"13521920\", alpha=\"0.13\", expect_size=\"5408768\"] \n  31 [size=\"37242880\", alpha=\"0.19\", expect_size=\"14897152\"] \n  32 [size=\"58575360\", alpha=\"0.03\", expect_size=\"23430144\"] \n  33 [size=\"103224320\", alpha=\"0.02\", expect_size=\"41289728\"] \n  34 [size=\"89912320\", alpha=\"0.02\", expect_size=\"35964928\"] \n  35 [size=\"103336960\", alpha=\"0.11\", expect_size=\"41334784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50409472\", alpha=\"0.06\", expect_size=\"25204736\"] \n  1 -> 7 [size =\"25204736\"]\n  1 -> 9 [size =\"25204736\"]\n  2 [size=\"14571520\", alpha=\"0.10\", expect_size=\"7285760\"] \n  2 -> 9 [size =\"7285760\"]\n  3 [size=\"74584064\", alpha=\"0.08\", expect_size=\"37292032\"] \n  3 -> 8 [size =\"37292032\"]\n  3 -> 9 [size =\"37292032\"]\n  4 [size=\"47222784\", alpha=\"0.12\", expect_size=\"23611392\"] \n  4 -> 6 [size =\"23611392\"]\n  4 -> 7 [size =\"23611392\"]\n  4 -> 8 [size =\"23611392\"]\n  5 [size=\"55531520\", alpha=\"0.10\", expect_size=\"27765760\"] \n  5 -> 10 [size =\"27765760\"]\n  6 [size=\"39329792\", alpha=\"0.20\", expect_size=\"19664896\"] \n  6 -> 13 [size =\"19664896\"]\n  6 -> 14 [size =\"19664896\"]\n  6 -> 15 [size =\"19664896\"]\n  7 [size=\"103118848\", alpha=\"0.03\", expect_size=\"51559424\"] \n  7 -> 14 [size =\"51559424\"]\n  7 -> 15 [size =\"51559424\"]\n  8 [size=\"34660352\", alpha=\"0.20\", expect_size=\"17330176\"] \n  8 -> 12 [size =\"17330176\"]\n  9 [size=\"96477184\", alpha=\"0.10\", expect_size=\"48238592\"] \n  9 -> 14 [size =\"48238592\"]\n  10 [size=\"31703040\", alpha=\"0.12\", expect_size=\"15851520\"] \n  10 -> 11 [size =\"15851520\"]\n  11 [size=\"26388480\", alpha=\"0.08\", expect_size=\"13194240\"] \n  11 -> 19 [size =\"13194240\"]\n  12 [size=\"56928256\", alpha=\"0.17\", expect_size=\"28464128\"] \n  12 -> 16 [size =\"28464128\"]\n  12 -> 19 [size =\"28464128\"]\n  13 [size=\"11911168\", alpha=\"0.08\", expect_size=\"5955584\"] \n  13 -> 17 [size =\"5955584\"]\n  13 -> 18 [size =\"5955584\"]\n  14 [size=\"51593216\", alpha=\"0.03\", expect_size=\"25796608\"] \n  14 -> 18 [size =\"25796608\"]\n  15 [size=\"14972928\", alpha=\"0.05\", expect_size=\"7486464\"] \n  15 -> 20 [size =\"7486464\"]\n  16 [size=\"61034496\", alpha=\"0.05\", expect_size=\"30517248\"] \n  16 -> 22 [size =\"30517248\"]\n  16 -> 23 [size =\"30517248\"]\n  17 [size=\"60465152\", alpha=\"0.17\", expect_size=\"30232576\"] \n  18 [size=\"72288256\", alpha=\"0.08\", expect_size=\"36144128\"] \n  18 -> 21 [size =\"36144128\"]\n  19 [size=\"70418432\", alpha=\"0.14\", expect_size=\"35209216\"] \n  19 -> 21 [size =\"35209216\"]\n  19 -> 24 [size =\"35209216\"]\n  20 [size=\"23828480\", alpha=\"0.14\", expect_size=\"11914240\"] \n  21 [size=\"80719872\", alpha=\"0.02\", expect_size=\"40359936\"] \n  21 -> 25 [size =\"40359936\"]\n  21 -> 27 [size =\"40359936\"]\n  21 -> 28 [size =\"40359936\"]\n  21 -> 29 [size =\"40359936\"]\n  22 [size=\"24733696\", alpha=\"0.11\", expect_size=\"12366848\"] \n  22 -> 26 [size =\"12366848\"]\n  22 -> 29 [size =\"12366848\"]\n  23 [size=\"104826880\", alpha=\"0.13\", expect_size=\"52413440\"] \n  24 [size=\"50128896\", alpha=\"0.03\", expect_size=\"25064448\"] \n  24 -> 25 [size =\"25064448\"]\n  24 -> 27 [size =\"25064448\"]\n  24 -> 28 [size =\"25064448\"]\n  25 [size=\"66580480\", alpha=\"0.03\", expect_size=\"33290240\"] \n  25 -> 30 [size =\"33290240\"]\n  25 -> 31 [size =\"33290240\"]\n  26 [size=\"91658240\", alpha=\"0.09\", expect_size=\"45829120\"] \n  26 -> 33 [size =\"45829120\"]\n  27 [size=\"19593216\", alpha=\"0.14\", expect_size=\"9796608\"] \n  27 -> 31 [size =\"9796608\"]\n  28 [size=\"98476032\", alpha=\"0.05\", expect_size=\"49238016\"] \n  28 -> 32 [size =\"49238016\"]\n  29 [size=\"41760768\", alpha=\"0.14\", expect_size=\"20880384\"] \n  29 -> 30 [size =\"20880384\"]\n  29 -> 31 [size =\"20880384\"]\n  30 [size=\"14718976\", alpha=\"0.07\", expect_size=\"7359488\"] \n  30 -> 34 [size =\"7359488\"]\n  31 [size=\"79665152\", alpha=\"0.04\", expect_size=\"39832576\"] \n  32 [size=\"87777280\", alpha=\"0.10\", expect_size=\"43888640\"] \n  32 -> 35 [size =\"43888640\"]\n  33 [size=\"43145216\", alpha=\"0.17\", expect_size=\"21572608\"] \n  34 [size=\"104239104\", alpha=\"0.13\", expect_size=\"52119552\"] \n  35 [size=\"24682496\", alpha=\"0.09\", expect_size=\"12341248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10903552\", alpha=\"0.13\", expect_size=\"5451776\"] \n  1 -> 27 [size =\"5451776\"]\n  1 -> 32 [size =\"5451776\"]\n  2 [size=\"34609152\", alpha=\"0.16\", expect_size=\"17304576\"] \n  2 -> 24 [size =\"17304576\"]\n  3 [size=\"64980992\", alpha=\"0.07\", expect_size=\"32490496\"] \n  3 -> 25 [size =\"32490496\"]\n  3 -> 30 [size =\"32490496\"]\n  3 -> 31 [size =\"32490496\"]\n  3 -> 35 [size =\"32490496\"]\n  4 [size=\"15056896\", alpha=\"0.12\", expect_size=\"7528448\"] \n  4 -> 24 [size =\"7528448\"]\n  4 -> 25 [size =\"7528448\"]\n  4 -> 26 [size =\"7528448\"]\n  4 -> 35 [size =\"7528448\"]\n  5 [size=\"34426880\", alpha=\"0.00\", expect_size=\"17213440\"] \n  5 -> 25 [size =\"17213440\"]\n  5 -> 25 [size =\"17213440\"]\n  5 -> 32 [size =\"17213440\"]\n  6 [size=\"18053120\", alpha=\"0.13\", expect_size=\"9026560\"] \n  6 -> 23 [size =\"9026560\"]\n  6 -> 27 [size =\"9026560\"]\n  6 -> 30 [size =\"9026560\"]\n  6 -> 31 [size =\"9026560\"]\n  6 -> 33 [size =\"9026560\"]\n  6 -> 35 [size =\"9026560\"]\n  7 [size=\"13735936\", alpha=\"0.05\", expect_size=\"6867968\"] \n  7 -> 24 [size =\"6867968\"]\n  7 -> 30 [size =\"6867968\"]\n  8 [size=\"12296192\", alpha=\"0.10\", expect_size=\"6148096\"] \n  8 -> 28 [size =\"6148096\"]\n  8 -> 33 [size =\"6148096\"]\n  8 -> 34 [size =\"6148096\"]\n  8 -> 35 [size =\"6148096\"]\n  9 [size=\"102602752\", alpha=\"0.12\", expect_size=\"51301376\"] \n  9 -> 32 [size =\"51301376\"]\n  10 [size=\"85837824\", alpha=\"0.16\", expect_size=\"42918912\"] \n  10 -> 23 [size =\"42918912\"]\n  10 -> 26 [size =\"42918912\"]\n  10 -> 28 [size =\"42918912\"]\n  10 -> 30 [size =\"42918912\"]\n  11 [size=\"32800768\", alpha=\"0.01\", expect_size=\"16400384\"] \n  11 -> 26 [size =\"16400384\"]\n  11 -> 26 [size =\"16400384\"]\n  11 -> 31 [size =\"16400384\"]\n  12 [size=\"92483584\", alpha=\"0.03\", expect_size=\"46241792\"] \n  12 -> 30 [size =\"46241792\"]\n  13 [size=\"75929600\", alpha=\"0.01\", expect_size=\"37964800\"] \n  13 -> 25 [size =\"37964800\"]\n  13 -> 26 [size =\"37964800\"]\n  13 -> 27 [size =\"37964800\"]\n  13 -> 30 [size =\"37964800\"]\n  14 [size=\"15511552\", alpha=\"0.12\", expect_size=\"7755776\"] \n  14 -> 29 [size =\"7755776\"]\n  14 -> 35 [size =\"7755776\"]\n  15 [size=\"73889792\", alpha=\"0.03\", expect_size=\"36944896\"] \n  15 -> 24 [size =\"36944896\"]\n  15 -> 28 [size =\"36944896\"]\n  16 [size=\"75720704\", alpha=\"0.05\", expect_size=\"37860352\"] \n  16 -> 27 [size =\"37860352\"]\n  16 -> 28 [size =\"37860352\"]\n  16 -> 34 [size =\"37860352\"]\n  17 [size=\"42573824\", alpha=\"0.19\", expect_size=\"21286912\"] \n  17 -> 28 [size =\"21286912\"]\n  18 [size=\"65372160\", alpha=\"0.15\", expect_size=\"32686080\"] \n  18 -> 24 [size =\"32686080\"]\n  18 -> 26 [size =\"32686080\"]\n  18 -> 28 [size =\"32686080\"]\n  18 -> 30 [size =\"32686080\"]\n  19 [size=\"18456576\", alpha=\"0.04\", expect_size=\"9228288\"] \n  19 -> 24 [size =\"9228288\"]\n  19 -> 29 [size =\"9228288\"]\n  19 -> 34 [size =\"9228288\"]\n  19 -> 35 [size =\"9228288\"]\n  20 [size=\"75251712\", alpha=\"0.18\", expect_size=\"37625856\"] \n  20 -> 24 [size =\"37625856\"]\n  20 -> 29 [size =\"37625856\"]\n  20 -> 30 [size =\"37625856\"]\n  21 [size=\"58411008\", alpha=\"0.13\", expect_size=\"29205504\"] \n  21 -> 24 [size =\"29205504\"]\n  21 -> 26 [size =\"29205504\"]\n  21 -> 27 [size =\"29205504\"]\n  21 -> 29 [size =\"29205504\"]\n  21 -> 32 [size =\"29205504\"]\n  21 -> 34 [size =\"29205504\"]\n  22 [size=\"63045632\", alpha=\"0.13\", expect_size=\"31522816\"] \n  22 -> 24 [size =\"31522816\"]\n  22 -> 29 [size =\"31522816\"]\n  22 -> 34 [size =\"31522816\"]\n  22 -> 35 [size =\"31522816\"]\n  23 [size=\"79454208\", alpha=\"0.05\", expect_size=\"39727104\"] \n  24 [size=\"82397184\", alpha=\"0.17\", expect_size=\"41198592\"] \n  25 [size=\"45240320\", alpha=\"0.15\", expect_size=\"22620160\"] \n  26 [size=\"57944064\", alpha=\"0.14\", expect_size=\"28972032\"] \n  27 [size=\"83073024\", alpha=\"0.14\", expect_size=\"41536512\"] \n  28 [size=\"80074752\", alpha=\"0.14\", expect_size=\"40037376\"] \n  29 [size=\"57100288\", alpha=\"0.13\", expect_size=\"28550144\"] \n  30 [size=\"74835968\", alpha=\"0.09\", expect_size=\"37417984\"] \n  31 [size=\"67676160\", alpha=\"0.10\", expect_size=\"33838080\"] \n  32 [size=\"36036608\", alpha=\"0.07\", expect_size=\"18018304\"] \n  33 [size=\"98416640\", alpha=\"0.19\", expect_size=\"49208320\"] \n  34 [size=\"26195968\", alpha=\"0.12\", expect_size=\"13097984\"] \n  35 [size=\"12691456\", alpha=\"0.18\", expect_size=\"6345728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14510080\", alpha=\"0.18\", expect_size=\"7255040\"] \n  1 -> 2 [size =\"7255040\"]\n  2 [size=\"17713152\", alpha=\"0.07\", expect_size=\"8856576\"] \n  2 -> 3 [size =\"8856576\"]\n  3 [size=\"97294336\", alpha=\"0.02\", expect_size=\"48647168\"] \n  3 -> 4 [size =\"48647168\"]\n  4 [size=\"15001600\", alpha=\"0.12\", expect_size=\"7500800\"] \n  4 -> 5 [size =\"7500800\"]\n  5 [size=\"42006528\", alpha=\"0.05\", expect_size=\"21003264\"] \n  5 -> 6 [size =\"21003264\"]\n  6 [size=\"36286464\", alpha=\"0.09\", expect_size=\"18143232\"] \n  6 -> 7 [size =\"18143232\"]\n  7 [size=\"26771456\", alpha=\"0.08\", expect_size=\"13385728\"] \n  7 -> 8 [size =\"13385728\"]\n  8 [size=\"23007232\", alpha=\"0.18\", expect_size=\"11503616\"] \n  8 -> 9 [size =\"11503616\"]\n  9 [size=\"53248000\", alpha=\"0.04\", expect_size=\"26624000\"] \n  9 -> 10 [size =\"26624000\"]\n  10 [size=\"90544128\", alpha=\"0.18\", expect_size=\"45272064\"] \n  10 -> 11 [size =\"45272064\"]\n  11 [size=\"49512448\", alpha=\"0.03\", expect_size=\"24756224\"] \n  11 -> 12 [size =\"24756224\"]\n  12 [size=\"38957056\", alpha=\"0.19\", expect_size=\"19478528\"] \n  12 -> 13 [size =\"19478528\"]\n  13 [size=\"73549824\", alpha=\"0.02\", expect_size=\"36774912\"] \n  13 -> 14 [size =\"36774912\"]\n  14 [size=\"84598784\", alpha=\"0.09\", expect_size=\"42299392\"] \n  14 -> 15 [size =\"42299392\"]\n  15 [size=\"48250880\", alpha=\"0.14\", expect_size=\"24125440\"] \n  15 -> 16 [size =\"24125440\"]\n  16 [size=\"73068544\", alpha=\"0.01\", expect_size=\"36534272\"] \n  16 -> 17 [size =\"36534272\"]\n  17 [size=\"23195648\", alpha=\"0.19\", expect_size=\"11597824\"] \n  17 -> 18 [size =\"11597824\"]\n  18 [size=\"61982720\", alpha=\"0.15\", expect_size=\"30991360\"] \n  18 -> 19 [size =\"30991360\"]\n  19 [size=\"53671936\", alpha=\"0.09\", expect_size=\"26835968\"] \n  19 -> 20 [size =\"26835968\"]\n  20 [size=\"74270720\", alpha=\"0.00\", expect_size=\"37135360\"] \n  20 -> 21 [size =\"37135360\"]\n  21 [size=\"63100928\", alpha=\"0.12\", expect_size=\"31550464\"] \n  21 -> 22 [size =\"31550464\"]\n  22 [size=\"76988416\", alpha=\"0.05\", expect_size=\"38494208\"] \n  22 -> 23 [size =\"38494208\"]\n  23 [size=\"71954432\", alpha=\"0.17\", expect_size=\"35977216\"] \n  23 -> 24 [size =\"35977216\"]\n  24 [size=\"82599936\", alpha=\"0.10\", expect_size=\"41299968\"] \n  24 -> 25 [size =\"41299968\"]\n  25 [size=\"29800448\", alpha=\"0.09\", expect_size=\"14900224\"] \n  25 -> 26 [size =\"14900224\"]\n  26 [size=\"94418944\", alpha=\"0.14\", expect_size=\"47209472\"] \n  26 -> 27 [size =\"47209472\"]\n  27 [size=\"99049472\", alpha=\"0.02\", expect_size=\"49524736\"] \n  27 -> 28 [size =\"49524736\"]\n  28 [size=\"95166464\", alpha=\"0.13\", expect_size=\"47583232\"] \n  28 -> 29 [size =\"47583232\"]\n  29 [size=\"73150464\", alpha=\"0.13\", expect_size=\"36575232\"] \n  29 -> 30 [size =\"36575232\"]\n  30 [size=\"21704704\", alpha=\"0.10\", expect_size=\"10852352\"] \n  30 -> 31 [size =\"10852352\"]\n  31 [size=\"22097920\", alpha=\"0.16\", expect_size=\"11048960\"] \n  31 -> 32 [size =\"11048960\"]\n  32 [size=\"78352384\", alpha=\"0.07\", expect_size=\"39176192\"] \n  32 -> 33 [size =\"39176192\"]\n  33 [size=\"103327744\", alpha=\"0.12\", expect_size=\"51663872\"] \n  33 -> 34 [size =\"51663872\"]\n  34 [size=\"89456640\", alpha=\"0.12\", expect_size=\"44728320\"] \n  34 -> 35 [size =\"44728320\"]\n  35 [size=\"41259008\", alpha=\"0.00\", expect_size=\"20629504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39406933\", alpha=\"0.07\", expect_size=\"11822080\"] \n  1 -> 7 [size =\"11822080\"]\n  1 -> 8 [size =\"11822080\"]\n  1 -> 10 [size =\"11822080\"]\n  1 -> 12 [size =\"11822080\"]\n  2 [size=\"125071360\", alpha=\"0.14\", expect_size=\"37521408\"] \n  2 -> 9 [size =\"37521408\"]\n  2 -> 10 [size =\"37521408\"]\n  2 -> 12 [size =\"37521408\"]\n  3 [size=\"39079253\", alpha=\"0.13\", expect_size=\"11723776\"] \n  3 -> 7 [size =\"11723776\"]\n  3 -> 9 [size =\"11723776\"]\n  3 -> 12 [size =\"11723776\"]\n  4 [size=\"164744533\", alpha=\"0.15\", expect_size=\"49423360\"] \n  4 -> 9 [size =\"49423360\"]\n  4 -> 9 [size =\"49423360\"]\n  4 -> 10 [size =\"49423360\"]\n  4 -> 11 [size =\"49423360\"]\n  5 [size=\"57524907\", alpha=\"0.16\", expect_size=\"17257472\"] \n  5 -> 7 [size =\"17257472\"]\n  5 -> 9 [size =\"17257472\"]\n  5 -> 10 [size =\"17257472\"]\n  5 -> 11 [size =\"17257472\"]\n  5 -> 12 [size =\"17257472\"]\n  6 [size=\"60811947\", alpha=\"0.18\", expect_size=\"18243584\"] \n  6 -> 7 [size =\"18243584\"]\n  6 -> 9 [size =\"18243584\"]\n  6 -> 10 [size =\"18243584\"]\n  6 -> 12 [size =\"18243584\"]\n  7 [size=\"65150293\", alpha=\"0.20\", expect_size=\"19545088\"] \n  7 -> 14 [size =\"19545088\"]\n  7 -> 15 [size =\"19545088\"]\n  7 -> 16 [size =\"19545088\"]\n  7 -> 17 [size =\"19545088\"]\n  7 -> 18 [size =\"19545088\"]\n  7 -> 19 [size =\"19545088\"]\n  8 [size=\"173281280\", alpha=\"0.15\", expect_size=\"51984384\"] \n  8 -> 15 [size =\"51984384\"]\n  8 -> 17 [size =\"51984384\"]\n  8 -> 18 [size =\"51984384\"]\n  8 -> 19 [size =\"51984384\"]\n  9 [size=\"142353067\", alpha=\"0.11\", expect_size=\"42705920\"] \n  9 -> 15 [size =\"42705920\"]\n  9 -> 16 [size =\"42705920\"]\n  9 -> 17 [size =\"42705920\"]\n  9 -> 18 [size =\"42705920\"]\n  9 -> 19 [size =\"42705920\"]\n  10 [size=\"149449387\", alpha=\"0.02\", expect_size=\"44834816\"] \n  10 -> 13 [size =\"44834816\"]\n  10 -> 16 [size =\"44834816\"]\n  10 -> 17 [size =\"44834816\"]\n  10 -> 18 [size =\"44834816\"]\n  10 -> 19 [size =\"44834816\"]\n  11 [size=\"168075947\", alpha=\"0.15\", expect_size=\"50422784\"] \n  11 -> 16 [size =\"50422784\"]\n  11 -> 19 [size =\"50422784\"]\n  12 [size=\"66679467\", alpha=\"0.16\", expect_size=\"20003840\"] \n  12 -> 14 [size =\"20003840\"]\n  12 -> 15 [size =\"20003840\"]\n  12 -> 16 [size =\"20003840\"]\n  12 -> 19 [size =\"20003840\"]\n  13 [size=\"23118507\", alpha=\"0.04\", expect_size=\"6935552\"] \n  13 -> 24 [size =\"6935552\"]\n  13 -> 25 [size =\"6935552\"]\n  14 [size=\"123607040\", alpha=\"0.14\", expect_size=\"37082112\"] \n  14 -> 20 [size =\"37082112\"]\n  14 -> 23 [size =\"37082112\"]\n  14 -> 24 [size =\"37082112\"]\n  14 -> 25 [size =\"37082112\"]\n  15 [size=\"84319573\", alpha=\"0.00\", expect_size=\"25295872\"] \n  15 -> 20 [size =\"25295872\"]\n  15 -> 21 [size =\"25295872\"]\n  15 -> 22 [size =\"25295872\"]\n  15 -> 24 [size =\"25295872\"]\n  15 -> 25 [size =\"25295872\"]\n  16 [size=\"51128320\", alpha=\"0.08\", expect_size=\"15338496\"] \n  16 -> 21 [size =\"15338496\"]\n  16 -> 22 [size =\"15338496\"]\n  17 [size=\"35307520\", alpha=\"0.05\", expect_size=\"10592256\"] \n  17 -> 21 [size =\"10592256\"]\n  17 -> 25 [size =\"10592256\"]\n  18 [size=\"32460800\", alpha=\"0.06\", expect_size=\"9738240\"] \n  18 -> 22 [size =\"9738240\"]\n  18 -> 25 [size =\"9738240\"]\n  19 [size=\"153299627\", alpha=\"0.05\", expect_size=\"45989888\"] \n  19 -> 20 [size =\"45989888\"]\n  19 -> 25 [size =\"45989888\"]\n  20 [size=\"86033067\", alpha=\"0.05\", expect_size=\"25809920\"] \n  21 [size=\"103335253\", alpha=\"0.08\", expect_size=\"31000576\"] \n  22 [size=\"63866880\", alpha=\"0.05\", expect_size=\"19160064\"] \n  22 -> 26 [size =\"19160064\"]\n  22 -> 27 [size =\"19160064\"]\n  23 [size=\"31153493\", alpha=\"0.04\", expect_size=\"9346048\"] \n  23 -> 27 [size =\"9346048\"]\n  24 [size=\"62146560\", alpha=\"0.02\", expect_size=\"18643968\"] \n  24 -> 26 [size =\"18643968\"]\n  24 -> 27 [size =\"18643968\"]\n  25 [size=\"17739093\", alpha=\"0.06\", expect_size=\"5321728\"] \n  25 -> 27 [size =\"5321728\"]\n  26 [size=\"20640427\", alpha=\"0.14\", expect_size=\"6192128\"] \n  26 -> 28 [size =\"6192128\"]\n  26 -> 29 [size =\"6192128\"]\n  27 [size=\"83278507\", alpha=\"0.09\", expect_size=\"24983552\"] \n  27 -> 29 [size =\"24983552\"]\n  28 [size=\"125467307\", alpha=\"0.04\", expect_size=\"37640192\"] \n  28 -> 30 [size =\"37640192\"]\n  28 -> 31 [size =\"37640192\"]\n  28 -> 33 [size =\"37640192\"]\n  29 [size=\"169690453\", alpha=\"0.14\", expect_size=\"50907136\"] \n  29 -> 30 [size =\"50907136\"]\n  29 -> 31 [size =\"50907136\"]\n  29 -> 32 [size =\"50907136\"]\n  29 -> 33 [size =\"50907136\"]\n  29 -> 34 [size =\"50907136\"]\n  30 [size=\"52080640\", alpha=\"0.02\", expect_size=\"15624192\"] \n  30 -> 35 [size =\"15624192\"]\n  31 [size=\"93351253\", alpha=\"0.08\", expect_size=\"28005376\"] \n  32 [size=\"158149973\", alpha=\"0.01\", expect_size=\"47444992\"] \n  33 [size=\"39499093\", alpha=\"0.14\", expect_size=\"11849728\"] \n  34 [size=\"73577813\", alpha=\"0.01\", expect_size=\"22073344\"] \n  34 -> 35 [size =\"22073344\"]\n  35 [size=\"93078187\", alpha=\"0.17\", expect_size=\"27923456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64092160\", alpha=\"0.08\", expect_size=\"32046080\"] \n  1 -> 25 [size =\"32046080\"]\n  1 -> 26 [size =\"32046080\"]\n  1 -> 35 [size =\"32046080\"]\n  2 [size=\"103550976\", alpha=\"0.04\", expect_size=\"51775488\"] \n  2 -> 25 [size =\"51775488\"]\n  2 -> 27 [size =\"51775488\"]\n  2 -> 32 [size =\"51775488\"]\n  2 -> 34 [size =\"51775488\"]\n  3 [size=\"34752512\", alpha=\"0.08\", expect_size=\"17376256\"] \n  3 -> 28 [size =\"17376256\"]\n  4 [size=\"59185152\", alpha=\"0.17\", expect_size=\"29592576\"] \n  4 -> 28 [size =\"29592576\"]\n  4 -> 29 [size =\"29592576\"]\n  4 -> 31 [size =\"29592576\"]\n  5 [size=\"22800384\", alpha=\"0.10\", expect_size=\"11400192\"] \n  5 -> 28 [size =\"11400192\"]\n  6 [size=\"55490560\", alpha=\"0.02\", expect_size=\"27745280\"] \n  6 -> 25 [size =\"27745280\"]\n  6 -> 26 [size =\"27745280\"]\n  6 -> 28 [size =\"27745280\"]\n  7 [size=\"49551360\", alpha=\"0.14\", expect_size=\"24775680\"] \n  7 -> 25 [size =\"24775680\"]\n  7 -> 26 [size =\"24775680\"]\n  7 -> 29 [size =\"24775680\"]\n  8 [size=\"13830144\", alpha=\"0.08\", expect_size=\"6915072\"] \n  8 -> 25 [size =\"6915072\"]\n  8 -> 29 [size =\"6915072\"]\n  8 -> 33 [size =\"6915072\"]\n  8 -> 35 [size =\"6915072\"]\n  9 [size=\"33511424\", alpha=\"0.04\", expect_size=\"16755712\"] \n  9 -> 25 [size =\"16755712\"]\n  9 -> 28 [size =\"16755712\"]\n  9 -> 32 [size =\"16755712\"]\n  10 [size=\"71260160\", alpha=\"0.14\", expect_size=\"35630080\"] \n  10 -> 31 [size =\"35630080\"]\n  11 [size=\"83974144\", alpha=\"0.03\", expect_size=\"41987072\"] \n  11 -> 25 [size =\"41987072\"]\n  11 -> 29 [size =\"41987072\"]\n  11 -> 31 [size =\"41987072\"]\n  11 -> 33 [size =\"41987072\"]\n  11 -> 34 [size =\"41987072\"]\n  11 -> 35 [size =\"41987072\"]\n  12 [size=\"29177856\", alpha=\"0.18\", expect_size=\"14588928\"] \n  12 -> 25 [size =\"14588928\"]\n  12 -> 26 [size =\"14588928\"]\n  12 -> 29 [size =\"14588928\"]\n  12 -> 31 [size =\"14588928\"]\n  13 [size=\"49545216\", alpha=\"0.15\", expect_size=\"24772608\"] \n  13 -> 25 [size =\"24772608\"]\n  13 -> 28 [size =\"24772608\"]\n  14 [size=\"85684224\", alpha=\"0.12\", expect_size=\"42842112\"] \n  14 -> 28 [size =\"42842112\"]\n  15 [size=\"70287360\", alpha=\"0.18\", expect_size=\"35143680\"] \n  15 -> 32 [size =\"35143680\"]\n  15 -> 35 [size =\"35143680\"]\n  16 [size=\"24444928\", alpha=\"0.17\", expect_size=\"12222464\"] \n  16 -> 27 [size =\"12222464\"]\n  16 -> 31 [size =\"12222464\"]\n  16 -> 33 [size =\"12222464\"]\n  16 -> 35 [size =\"12222464\"]\n  17 [size=\"32763904\", alpha=\"0.05\", expect_size=\"16381952\"] \n  17 -> 25 [size =\"16381952\"]\n  17 -> 28 [size =\"16381952\"]\n  17 -> 30 [size =\"16381952\"]\n  17 -> 35 [size =\"16381952\"]\n  18 [size=\"99903488\", alpha=\"0.12\", expect_size=\"49951744\"] \n  18 -> 32 [size =\"49951744\"]\n  18 -> 35 [size =\"49951744\"]\n  19 [size=\"41185280\", alpha=\"0.18\", expect_size=\"20592640\"] \n  19 -> 31 [size =\"20592640\"]\n  19 -> 34 [size =\"20592640\"]\n  19 -> 35 [size =\"20592640\"]\n  20 [size=\"59131904\", alpha=\"0.13\", expect_size=\"29565952\"] \n  20 -> 25 [size =\"29565952\"]\n  20 -> 27 [size =\"29565952\"]\n  20 -> 28 [size =\"29565952\"]\n  20 -> 34 [size =\"29565952\"]\n  20 -> 35 [size =\"29565952\"]\n  21 [size=\"30560256\", alpha=\"0.20\", expect_size=\"15280128\"] \n  21 -> 27 [size =\"15280128\"]\n  21 -> 28 [size =\"15280128\"]\n  21 -> 34 [size =\"15280128\"]\n  21 -> 35 [size =\"15280128\"]\n  22 [size=\"44355584\", alpha=\"0.06\", expect_size=\"22177792\"] \n  22 -> 28 [size =\"22177792\"]\n  22 -> 29 [size =\"22177792\"]\n  22 -> 34 [size =\"22177792\"]\n  23 [size=\"35991552\", alpha=\"0.18\", expect_size=\"17995776\"] \n  23 -> 25 [size =\"17995776\"]\n  23 -> 27 [size =\"17995776\"]\n  23 -> 28 [size =\"17995776\"]\n  23 -> 31 [size =\"17995776\"]\n  24 [size=\"104529920\", alpha=\"0.20\", expect_size=\"52264960\"] \n  24 -> 27 [size =\"52264960\"]\n  24 -> 27 [size =\"52264960\"]\n  24 -> 29 [size =\"52264960\"]\n  24 -> 31 [size =\"52264960\"]\n  24 -> 34 [size =\"52264960\"]\n  24 -> 35 [size =\"52264960\"]\n  25 [size=\"64841728\", alpha=\"0.04\", expect_size=\"32420864\"] \n  26 [size=\"56616960\", alpha=\"0.18\", expect_size=\"28308480\"] \n  27 [size=\"40648704\", alpha=\"0.01\", expect_size=\"20324352\"] \n  28 [size=\"64538624\", alpha=\"0.04\", expect_size=\"32269312\"] \n  29 [size=\"27525120\", alpha=\"0.12\", expect_size=\"13762560\"] \n  30 [size=\"16920576\", alpha=\"0.12\", expect_size=\"8460288\"] \n  31 [size=\"78751744\", alpha=\"0.09\", expect_size=\"39375872\"] \n  32 [size=\"77883392\", alpha=\"0.09\", expect_size=\"38941696\"] \n  33 [size=\"13008896\", alpha=\"0.18\", expect_size=\"6504448\"] \n  34 [size=\"97138688\", alpha=\"0.02\", expect_size=\"48569344\"] \n  35 [size=\"95860736\", alpha=\"0.19\", expect_size=\"47930368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137629013\", alpha=\"0.06\", expect_size=\"41288704\"] \n  1 -> 2 [size =\"41288704\"]\n  2 [size=\"40567467\", alpha=\"0.17\", expect_size=\"12170240\"] \n  2 -> 3 [size =\"12170240\"]\n  2 -> 4 [size =\"12170240\"]\n  3 [size=\"57023147\", alpha=\"0.02\", expect_size=\"17106944\"] \n  4 [size=\"128846507\", alpha=\"0.03\", expect_size=\"38653952\"] \n  4 -> 5 [size =\"38653952\"]\n  5 [size=\"94617600\", alpha=\"0.03\", expect_size=\"28385280\"] \n  5 -> 6 [size =\"28385280\"]\n  5 -> 7 [size =\"28385280\"]\n  6 [size=\"63143253\", alpha=\"0.13\", expect_size=\"18942976\"] \n  6 -> 8 [size =\"18942976\"]\n  7 [size=\"46602240\", alpha=\"0.16\", expect_size=\"13980672\"] \n  7 -> 9 [size =\"13980672\"]\n  8 [size=\"114561707\", alpha=\"0.00\", expect_size=\"34368512\"] \n  9 [size=\"93743787\", alpha=\"0.06\", expect_size=\"28123136\"] \n  9 -> 10 [size =\"28123136\"]\n  9 -> 11 [size =\"28123136\"]\n  10 [size=\"78076587\", alpha=\"0.17\", expect_size=\"23422976\"] \n  10 -> 12 [size =\"23422976\"]\n  10 -> 13 [size =\"23422976\"]\n  11 [size=\"94378667\", alpha=\"0.03\", expect_size=\"28313600\"] \n  12 [size=\"144820907\", alpha=\"0.06\", expect_size=\"43446272\"] \n  13 [size=\"122309973\", alpha=\"0.16\", expect_size=\"36692992\"] \n  13 -> 14 [size =\"36692992\"]\n  14 [size=\"134512640\", alpha=\"0.19\", expect_size=\"40353792\"] \n  14 -> 15 [size =\"40353792\"]\n  15 [size=\"160157013\", alpha=\"0.00\", expect_size=\"48047104\"] \n  15 -> 16 [size =\"48047104\"]\n  15 -> 17 [size =\"48047104\"]\n  16 [size=\"25832107\", alpha=\"0.09\", expect_size=\"7749632\"] \n  16 -> 18 [size =\"7749632\"]\n  17 [size=\"124156587\", alpha=\"0.14\", expect_size=\"37246976\"] \n  17 -> 19 [size =\"37246976\"]\n  18 [size=\"88773973\", alpha=\"0.12\", expect_size=\"26632192\"] \n  19 [size=\"92037120\", alpha=\"0.10\", expect_size=\"27611136\"] \n  19 -> 20 [size =\"27611136\"]\n  20 [size=\"141885440\", alpha=\"0.08\", expect_size=\"42565632\"] \n  20 -> 21 [size =\"42565632\"]\n  21 [size=\"116421973\", alpha=\"0.02\", expect_size=\"34926592\"] \n  21 -> 22 [size =\"34926592\"]\n  21 -> 23 [size =\"34926592\"]\n  22 [size=\"138516480\", alpha=\"0.18\", expect_size=\"41554944\"] \n  22 -> 24 [size =\"41554944\"]\n  23 [size=\"28040533\", alpha=\"0.00\", expect_size=\"8412160\"] \n  24 [size=\"150842027\", alpha=\"0.16\", expect_size=\"45252608\"] \n  24 -> 25 [size =\"45252608\"]\n  24 -> 26 [size =\"45252608\"]\n  25 [size=\"140427947\", alpha=\"0.02\", expect_size=\"42128384\"] \n  25 -> 27 [size =\"42128384\"]\n  26 [size=\"142073173\", alpha=\"0.13\", expect_size=\"42621952\"] \n  26 -> 28 [size =\"42621952\"]\n  27 [size=\"55582720\", alpha=\"0.08\", expect_size=\"16674816\"] \n  28 [size=\"169355947\", alpha=\"0.16\", expect_size=\"50806784\"] \n  28 -> 29 [size =\"50806784\"]\n  29 [size=\"106864640\", alpha=\"0.13\", expect_size=\"32059392\"] \n  29 -> 30 [size =\"32059392\"]\n  29 -> 31 [size =\"32059392\"]\n  30 [size=\"24784213\", alpha=\"0.18\", expect_size=\"7435264\"] \n  30 -> 32 [size =\"7435264\"]\n  31 [size=\"87852373\", alpha=\"0.13\", expect_size=\"26355712\"] \n  32 [size=\"101652480\", alpha=\"0.04\", expect_size=\"30495744\"] \n  32 -> 33 [size =\"30495744\"]\n  32 -> 34 [size =\"30495744\"]\n  33 [size=\"89279147\", alpha=\"0.08\", expect_size=\"26783744\"] \n  34 [size=\"90279253\", alpha=\"0.07\", expect_size=\"27083776\"] \n  34 -> 35 [size =\"27083776\"]\n  35 [size=\"58740053\", alpha=\"0.04\", expect_size=\"17622016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104768000\", alpha=\"0.01\", expect_size=\"41907200\"] \n  1 -> 2 [size =\"41907200\"]\n  2 [size=\"76728320\", alpha=\"0.04\", expect_size=\"30691328\"] \n  2 -> 3 [size =\"30691328\"]\n  3 [size=\"128284160\", alpha=\"0.10\", expect_size=\"51313664\"] \n  3 -> 4 [size =\"51313664\"]\n  3 -> 5 [size =\"51313664\"]\n  4 [size=\"95869440\", alpha=\"0.17\", expect_size=\"38347776\"] \n  4 -> 6 [size =\"38347776\"]\n  5 [size=\"61007360\", alpha=\"0.17\", expect_size=\"24402944\"] \n  6 [size=\"19476480\", alpha=\"0.20\", expect_size=\"7790592\"] \n  6 -> 7 [size =\"7790592\"]\n  7 [size=\"72780800\", alpha=\"0.01\", expect_size=\"29112320\"] \n  7 -> 8 [size =\"29112320\"]\n  7 -> 9 [size =\"29112320\"]\n  8 [size=\"33172480\", alpha=\"0.02\", expect_size=\"13268992\"] \n  8 -> 10 [size =\"13268992\"]\n  9 [size=\"113610240\", alpha=\"0.16\", expect_size=\"45444096\"] \n  9 -> 10 [size =\"45444096\"]\n  10 [size=\"128803840\", alpha=\"0.16\", expect_size=\"51521536\"] \n  10 -> 11 [size =\"51521536\"]\n  10 -> 12 [size =\"51521536\"]\n  11 [size=\"41582080\", alpha=\"0.07\", expect_size=\"16632832\"] \n  11 -> 13 [size =\"16632832\"]\n  11 -> 14 [size =\"16632832\"]\n  12 [size=\"47127040\", alpha=\"0.05\", expect_size=\"18850816\"] \n  12 -> 13 [size =\"18850816\"]\n  12 -> 14 [size =\"18850816\"]\n  13 [size=\"72345600\", alpha=\"0.08\", expect_size=\"28938240\"] \n  13 -> 15 [size =\"28938240\"]\n  14 [size=\"129976320\", alpha=\"0.14\", expect_size=\"51990528\"] \n  14 -> 15 [size =\"51990528\"]\n  15 [size=\"112665600\", alpha=\"0.08\", expect_size=\"45066240\"] \n  15 -> 16 [size =\"45066240\"]\n  16 [size=\"92203520\", alpha=\"0.10\", expect_size=\"36881408\"] \n  16 -> 17 [size =\"36881408\"]\n  17 [size=\"90206720\", alpha=\"0.03\", expect_size=\"36082688\"] \n  17 -> 18 [size =\"36082688\"]\n  17 -> 19 [size =\"36082688\"]\n  18 [size=\"98611200\", alpha=\"0.10\", expect_size=\"39444480\"] \n  19 [size=\"109765120\", alpha=\"0.12\", expect_size=\"43906048\"] \n  19 -> 20 [size =\"43906048\"]\n  20 [size=\"84398080\", alpha=\"0.14\", expect_size=\"33759232\"] \n  20 -> 21 [size =\"33759232\"]\n  20 -> 22 [size =\"33759232\"]\n  21 [size=\"59509760\", alpha=\"0.12\", expect_size=\"23803904\"] \n  21 -> 23 [size =\"23803904\"]\n  21 -> 24 [size =\"23803904\"]\n  22 [size=\"101125120\", alpha=\"0.00\", expect_size=\"40450048\"] \n  22 -> 24 [size =\"40450048\"]\n  23 [size=\"128102400\", alpha=\"0.08\", expect_size=\"51240960\"] \n  23 -> 25 [size =\"51240960\"]\n  24 [size=\"55751680\", alpha=\"0.10\", expect_size=\"22300672\"] \n  24 -> 25 [size =\"22300672\"]\n  25 [size=\"19686400\", alpha=\"0.00\", expect_size=\"7874560\"] \n  25 -> 26 [size =\"7874560\"]\n  25 -> 27 [size =\"7874560\"]\n  26 [size=\"65781760\", alpha=\"0.11\", expect_size=\"26312704\"] \n  26 -> 28 [size =\"26312704\"]\n  26 -> 29 [size =\"26312704\"]\n  27 [size=\"124746240\", alpha=\"0.12\", expect_size=\"49898496\"] \n  27 -> 28 [size =\"49898496\"]\n  27 -> 29 [size =\"49898496\"]\n  28 [size=\"23669760\", alpha=\"0.17\", expect_size=\"9467904\"] \n  28 -> 30 [size =\"9467904\"]\n  28 -> 31 [size =\"9467904\"]\n  29 [size=\"84513280\", alpha=\"0.19\", expect_size=\"33805312\"] \n  29 -> 30 [size =\"33805312\"]\n  29 -> 31 [size =\"33805312\"]\n  30 [size=\"38586880\", alpha=\"0.00\", expect_size=\"15434752\"] \n  30 -> 32 [size =\"15434752\"]\n  31 [size=\"122675200\", alpha=\"0.06\", expect_size=\"49070080\"] \n  31 -> 32 [size =\"49070080\"]\n  32 [size=\"74544640\", alpha=\"0.18\", expect_size=\"29817856\"] \n  32 -> 33 [size =\"29817856\"]\n  33 [size=\"75783680\", alpha=\"0.00\", expect_size=\"30313472\"] \n  33 -> 34 [size =\"30313472\"]\n  34 [size=\"123601920\", alpha=\"0.02\", expect_size=\"49440768\"] \n  34 -> 35 [size =\"49440768\"]\n  35 [size=\"64839680\", alpha=\"0.00\", expect_size=\"25935872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109335893\", alpha=\"0.09\", expect_size=\"32800768\"] \n  1 -> 6 [size =\"32800768\"]\n  1 -> 7 [size =\"32800768\"]\n  2 [size=\"92989440\", alpha=\"0.03\", expect_size=\"27896832\"] \n  2 -> 6 [size =\"27896832\"]\n  2 -> 7 [size =\"27896832\"]\n  2 -> 8 [size =\"27896832\"]\n  3 [size=\"107328853\", alpha=\"0.12\", expect_size=\"32198656\"] \n  3 -> 6 [size =\"32198656\"]\n  3 -> 7 [size =\"32198656\"]\n  3 -> 8 [size =\"32198656\"]\n  4 [size=\"25623893\", alpha=\"0.01\", expect_size=\"7687168\"] \n  4 -> 6 [size =\"7687168\"]\n  4 -> 7 [size =\"7687168\"]\n  4 -> 8 [size =\"7687168\"]\n  5 [size=\"70195200\", alpha=\"0.18\", expect_size=\"21058560\"] \n  5 -> 6 [size =\"21058560\"]\n  5 -> 7 [size =\"21058560\"]\n  5 -> 8 [size =\"21058560\"]\n  6 [size=\"56251733\", alpha=\"0.05\", expect_size=\"16875520\"] \n  6 -> 9 [size =\"16875520\"]\n  6 -> 10 [size =\"16875520\"]\n  7 [size=\"172195840\", alpha=\"0.04\", expect_size=\"51658752\"] \n  7 -> 9 [size =\"51658752\"]\n  7 -> 10 [size =\"51658752\"]\n  7 -> 11 [size =\"51658752\"]\n  7 -> 12 [size =\"51658752\"]\n  8 [size=\"18135040\", alpha=\"0.18\", expect_size=\"5440512\"] \n  8 -> 9 [size =\"5440512\"]\n  8 -> 10 [size =\"5440512\"]\n  8 -> 11 [size =\"5440512\"]\n  9 [size=\"35194880\", alpha=\"0.15\", expect_size=\"10558464\"] \n  9 -> 15 [size =\"10558464\"]\n  9 -> 17 [size =\"10558464\"]\n  9 -> 18 [size =\"10558464\"]\n  10 [size=\"116654080\", alpha=\"0.03\", expect_size=\"34996224\"] \n  10 -> 14 [size =\"34996224\"]\n  10 -> 15 [size =\"34996224\"]\n  10 -> 17 [size =\"34996224\"]\n  10 -> 18 [size =\"34996224\"]\n  11 [size=\"113394347\", alpha=\"0.10\", expect_size=\"34018304\"] \n  11 -> 14 [size =\"34018304\"]\n  11 -> 15 [size =\"34018304\"]\n  11 -> 16 [size =\"34018304\"]\n  11 -> 17 [size =\"34018304\"]\n  11 -> 18 [size =\"34018304\"]\n  12 [size=\"24033280\", alpha=\"0.05\", expect_size=\"7209984\"] \n  12 -> 13 [size =\"7209984\"]\n  12 -> 14 [size =\"7209984\"]\n  12 -> 15 [size =\"7209984\"]\n  12 -> 16 [size =\"7209984\"]\n  12 -> 17 [size =\"7209984\"]\n  13 [size=\"45765973\", alpha=\"0.06\", expect_size=\"13729792\"] \n  13 -> 20 [size =\"13729792\"]\n  13 -> 22 [size =\"13729792\"]\n  13 -> 23 [size =\"13729792\"]\n  14 [size=\"139021653\", alpha=\"0.08\", expect_size=\"41706496\"] \n  14 -> 20 [size =\"41706496\"]\n  15 [size=\"146319360\", alpha=\"0.03\", expect_size=\"43895808\"] \n  15 -> 22 [size =\"43895808\"]\n  15 -> 23 [size =\"43895808\"]\n  16 [size=\"132689920\", alpha=\"0.07\", expect_size=\"39806976\"] \n  16 -> 19 [size =\"39806976\"]\n  16 -> 20 [size =\"39806976\"]\n  16 -> 21 [size =\"39806976\"]\n  16 -> 23 [size =\"39806976\"]\n  17 [size=\"169820160\", alpha=\"0.16\", expect_size=\"50946048\"] \n  17 -> 20 [size =\"50946048\"]\n  17 -> 21 [size =\"50946048\"]\n  18 [size=\"47885653\", alpha=\"0.15\", expect_size=\"14365696\"] \n  18 -> 20 [size =\"14365696\"]\n  18 -> 23 [size =\"14365696\"]\n  19 [size=\"28757333\", alpha=\"0.01\", expect_size=\"8627200\"] \n  19 -> 24 [size =\"8627200\"]\n  19 -> 25 [size =\"8627200\"]\n  19 -> 26 [size =\"8627200\"]\n  20 [size=\"145704960\", alpha=\"0.04\", expect_size=\"43711488\"] \n  20 -> 24 [size =\"43711488\"]\n  20 -> 25 [size =\"43711488\"]\n  20 -> 28 [size =\"43711488\"]\n  21 [size=\"172393813\", alpha=\"0.18\", expect_size=\"51718144\"] \n  21 -> 25 [size =\"51718144\"]\n  21 -> 27 [size =\"51718144\"]\n  21 -> 28 [size =\"51718144\"]\n  22 [size=\"91624107\", alpha=\"0.02\", expect_size=\"27487232\"] \n  22 -> 25 [size =\"27487232\"]\n  22 -> 26 [size =\"27487232\"]\n  22 -> 27 [size =\"27487232\"]\n  23 [size=\"129426773\", alpha=\"0.17\", expect_size=\"38828032\"] \n  23 -> 24 [size =\"38828032\"]\n  23 -> 25 [size =\"38828032\"]\n  23 -> 27 [size =\"38828032\"]\n  23 -> 28 [size =\"38828032\"]\n  24 [size=\"22958080\", alpha=\"0.13\", expect_size=\"6887424\"] \n  24 -> 29 [size =\"6887424\"]\n  24 -> 32 [size =\"6887424\"]\n  25 [size=\"84387840\", alpha=\"0.17\", expect_size=\"25316352\"] \n  25 -> 29 [size =\"25316352\"]\n  25 -> 32 [size =\"25316352\"]\n  26 [size=\"104335360\", alpha=\"0.04\", expect_size=\"31300608\"] \n  26 -> 30 [size =\"31300608\"]\n  26 -> 31 [size =\"31300608\"]\n  26 -> 32 [size =\"31300608\"]\n  27 [size=\"158682453\", alpha=\"0.12\", expect_size=\"47604736\"] \n  27 -> 30 [size =\"47604736\"]\n  27 -> 31 [size =\"47604736\"]\n  28 [size=\"124426240\", alpha=\"0.20\", expect_size=\"37327872\"] \n  28 -> 29 [size =\"37327872\"]\n  28 -> 30 [size =\"37327872\"]\n  29 [size=\"81414827\", alpha=\"0.10\", expect_size=\"24424448\"] \n  29 -> 33 [size =\"24424448\"]\n  29 -> 34 [size =\"24424448\"]\n  29 -> 35 [size =\"24424448\"]\n  30 [size=\"89374720\", alpha=\"0.12\", expect_size=\"26812416\"] \n  30 -> 33 [size =\"26812416\"]\n  30 -> 34 [size =\"26812416\"]\n  30 -> 35 [size =\"26812416\"]\n  31 [size=\"117814613\", alpha=\"0.07\", expect_size=\"35344384\"] \n  31 -> 33 [size =\"35344384\"]\n  31 -> 34 [size =\"35344384\"]\n  32 [size=\"101304320\", alpha=\"0.03\", expect_size=\"30391296\"] \n  32 -> 33 [size =\"30391296\"]\n  32 -> 34 [size =\"30391296\"]\n  33 [size=\"115360427\", alpha=\"0.02\", expect_size=\"34608128\"] \n  34 [size=\"92549120\", alpha=\"0.17\", expect_size=\"27764736\"] \n  35 [size=\"41024853\", alpha=\"0.08\", expect_size=\"12307456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76480512\", alpha=\"0.09\", expect_size=\"38240256\"] \n  1 -> 5 [size =\"38240256\"]\n  1 -> 7 [size =\"38240256\"]\n  1 -> 9 [size =\"38240256\"]\n  2 [size=\"39645184\", alpha=\"0.15\", expect_size=\"19822592\"] \n  2 -> 8 [size =\"19822592\"]\n  2 -> 9 [size =\"19822592\"]\n  3 [size=\"16193536\", alpha=\"0.09\", expect_size=\"8096768\"] \n  3 -> 5 [size =\"8096768\"]\n  3 -> 6 [size =\"8096768\"]\n  3 -> 8 [size =\"8096768\"]\n  4 [size=\"18737152\", alpha=\"0.18\", expect_size=\"9368576\"] \n  4 -> 5 [size =\"9368576\"]\n  5 [size=\"56569856\", alpha=\"0.07\", expect_size=\"28284928\"] \n  5 -> 13 [size =\"28284928\"]\n  6 [size=\"104740864\", alpha=\"0.04\", expect_size=\"52370432\"] \n  7 [size=\"96845824\", alpha=\"0.09\", expect_size=\"48422912\"] \n  7 -> 10 [size =\"48422912\"]\n  7 -> 11 [size =\"48422912\"]\n  7 -> 12 [size =\"48422912\"]\n  7 -> 13 [size =\"48422912\"]\n  8 [size=\"71452672\", alpha=\"0.16\", expect_size=\"35726336\"] \n  8 -> 10 [size =\"35726336\"]\n  8 -> 12 [size =\"35726336\"]\n  9 [size=\"65540096\", alpha=\"0.16\", expect_size=\"32770048\"] \n  10 [size=\"55091200\", alpha=\"0.19\", expect_size=\"27545600\"] \n  10 -> 14 [size =\"27545600\"]\n  10 -> 15 [size =\"27545600\"]\n  11 [size=\"14823424\", alpha=\"0.09\", expect_size=\"7411712\"] \n  11 -> 14 [size =\"7411712\"]\n  11 -> 15 [size =\"7411712\"]\n  11 -> 16 [size =\"7411712\"]\n  12 [size=\"57823232\", alpha=\"0.00\", expect_size=\"28911616\"] \n  12 -> 17 [size =\"28911616\"]\n  13 [size=\"34002944\", alpha=\"0.00\", expect_size=\"17001472\"] \n  13 -> 14 [size =\"17001472\"]\n  13 -> 16 [size =\"17001472\"]\n  13 -> 17 [size =\"17001472\"]\n  14 [size=\"77721600\", alpha=\"0.20\", expect_size=\"38860800\"] \n  14 -> 18 [size =\"38860800\"]\n  14 -> 21 [size =\"38860800\"]\n  14 -> 22 [size =\"38860800\"]\n  15 [size=\"66277376\", alpha=\"0.07\", expect_size=\"33138688\"] \n  15 -> 21 [size =\"33138688\"]\n  15 -> 22 [size =\"33138688\"]\n  16 [size=\"97372160\", alpha=\"0.01\", expect_size=\"48686080\"] \n  16 -> 20 [size =\"48686080\"]\n  17 [size=\"22575104\", alpha=\"0.18\", expect_size=\"11287552\"] \n  17 -> 19 [size =\"11287552\"]\n  17 -> 21 [size =\"11287552\"]\n  18 [size=\"62699520\", alpha=\"0.01\", expect_size=\"31349760\"] \n  18 -> 24 [size =\"31349760\"]\n  18 -> 25 [size =\"31349760\"]\n  19 [size=\"43702272\", alpha=\"0.15\", expect_size=\"21851136\"] \n  20 [size=\"25565184\", alpha=\"0.14\", expect_size=\"12782592\"] \n  20 -> 23 [size =\"12782592\"]\n  20 -> 24 [size =\"12782592\"]\n  21 [size=\"21831680\", alpha=\"0.06\", expect_size=\"10915840\"] \n  21 -> 24 [size =\"10915840\"]\n  21 -> 25 [size =\"10915840\"]\n  22 [size=\"64479232\", alpha=\"0.05\", expect_size=\"32239616\"] \n  22 -> 26 [size =\"32239616\"]\n  23 [size=\"65869824\", alpha=\"0.05\", expect_size=\"32934912\"] \n  23 -> 28 [size =\"32934912\"]\n  24 [size=\"68165632\", alpha=\"0.07\", expect_size=\"34082816\"] \n  24 -> 28 [size =\"34082816\"]\n  25 [size=\"66963456\", alpha=\"0.19\", expect_size=\"33481728\"] \n  25 -> 27 [size =\"33481728\"]\n  25 -> 29 [size =\"33481728\"]\n  25 -> 30 [size =\"33481728\"]\n  26 [size=\"99313664\", alpha=\"0.10\", expect_size=\"49656832\"] \n  26 -> 29 [size =\"49656832\"]\n  27 [size=\"102473728\", alpha=\"0.00\", expect_size=\"51236864\"] \n  27 -> 31 [size =\"51236864\"]\n  27 -> 34 [size =\"51236864\"]\n  28 [size=\"90802176\", alpha=\"0.03\", expect_size=\"45401088\"] \n  28 -> 31 [size =\"45401088\"]\n  28 -> 32 [size =\"45401088\"]\n  28 -> 35 [size =\"45401088\"]\n  29 [size=\"97460224\", alpha=\"0.17\", expect_size=\"48730112\"] \n  29 -> 32 [size =\"48730112\"]\n  29 -> 33 [size =\"48730112\"]\n  29 -> 35 [size =\"48730112\"]\n  30 [size=\"74145792\", alpha=\"0.01\", expect_size=\"37072896\"] \n  31 [size=\"44584960\", alpha=\"0.06\", expect_size=\"22292480\"] \n  32 [size=\"74774528\", alpha=\"0.01\", expect_size=\"37387264\"] \n  33 [size=\"99502080\", alpha=\"0.01\", expect_size=\"49751040\"] \n  34 [size=\"30107648\", alpha=\"0.15\", expect_size=\"15053824\"] \n  35 [size=\"63584256\", alpha=\"0.01\", expect_size=\"31792128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39262208\", alpha=\"0.05\", expect_size=\"19631104\"] \n  1 -> 2 [size =\"19631104\"]\n  2 [size=\"54923264\", alpha=\"0.08\", expect_size=\"27461632\"] \n  2 -> 3 [size =\"27461632\"]\n  3 [size=\"99999744\", alpha=\"0.15\", expect_size=\"49999872\"] \n  3 -> 4 [size =\"49999872\"]\n  4 [size=\"86298624\", alpha=\"0.14\", expect_size=\"43149312\"] \n  4 -> 5 [size =\"43149312\"]\n  5 [size=\"70334464\", alpha=\"0.01\", expect_size=\"35167232\"] \n  5 -> 6 [size =\"35167232\"]\n  6 [size=\"42737664\", alpha=\"0.10\", expect_size=\"21368832\"] \n  6 -> 7 [size =\"21368832\"]\n  7 [size=\"18309120\", alpha=\"0.13\", expect_size=\"9154560\"] \n  7 -> 8 [size =\"9154560\"]\n  8 [size=\"34637824\", alpha=\"0.08\", expect_size=\"17318912\"] \n  8 -> 9 [size =\"17318912\"]\n  9 [size=\"45801472\", alpha=\"0.17\", expect_size=\"22900736\"] \n  9 -> 10 [size =\"22900736\"]\n  10 [size=\"18403328\", alpha=\"0.07\", expect_size=\"9201664\"] \n  10 -> 11 [size =\"9201664\"]\n  11 [size=\"99581952\", alpha=\"0.01\", expect_size=\"49790976\"] \n  11 -> 12 [size =\"49790976\"]\n  12 [size=\"27498496\", alpha=\"0.02\", expect_size=\"13749248\"] \n  12 -> 13 [size =\"13749248\"]\n  13 [size=\"65095680\", alpha=\"0.15\", expect_size=\"32547840\"] \n  13 -> 14 [size =\"32547840\"]\n  14 [size=\"42954752\", alpha=\"0.09\", expect_size=\"21477376\"] \n  14 -> 15 [size =\"21477376\"]\n  15 [size=\"14252032\", alpha=\"0.16\", expect_size=\"7126016\"] \n  15 -> 16 [size =\"7126016\"]\n  16 [size=\"18700288\", alpha=\"0.15\", expect_size=\"9350144\"] \n  16 -> 17 [size =\"9350144\"]\n  17 [size=\"67135488\", alpha=\"0.19\", expect_size=\"33567744\"] \n  17 -> 18 [size =\"33567744\"]\n  18 [size=\"35573760\", alpha=\"0.00\", expect_size=\"17786880\"] \n  18 -> 19 [size =\"17786880\"]\n  19 [size=\"73523200\", alpha=\"0.17\", expect_size=\"36761600\"] \n  19 -> 20 [size =\"36761600\"]\n  20 [size=\"57622528\", alpha=\"0.14\", expect_size=\"28811264\"] \n  20 -> 21 [size =\"28811264\"]\n  21 [size=\"91115520\", alpha=\"0.18\", expect_size=\"45557760\"] \n  21 -> 22 [size =\"45557760\"]\n  22 [size=\"97908736\", alpha=\"0.11\", expect_size=\"48954368\"] \n  22 -> 23 [size =\"48954368\"]\n  23 [size=\"12996608\", alpha=\"0.03\", expect_size=\"6498304\"] \n  23 -> 24 [size =\"6498304\"]\n  24 [size=\"84963328\", alpha=\"0.11\", expect_size=\"42481664\"] \n  24 -> 25 [size =\"42481664\"]\n  25 [size=\"34973696\", alpha=\"0.11\", expect_size=\"17486848\"] \n  25 -> 26 [size =\"17486848\"]\n  26 [size=\"15745024\", alpha=\"0.19\", expect_size=\"7872512\"] \n  26 -> 27 [size =\"7872512\"]\n  27 [size=\"87306240\", alpha=\"0.08\", expect_size=\"43653120\"] \n  27 -> 28 [size =\"43653120\"]\n  28 [size=\"84029440\", alpha=\"0.02\", expect_size=\"42014720\"] \n  28 -> 29 [size =\"42014720\"]\n  29 [size=\"85157888\", alpha=\"0.04\", expect_size=\"42578944\"] \n  29 -> 30 [size =\"42578944\"]\n  30 [size=\"69953536\", alpha=\"0.08\", expect_size=\"34976768\"] \n  30 -> 31 [size =\"34976768\"]\n  31 [size=\"42708992\", alpha=\"0.10\", expect_size=\"21354496\"] \n  31 -> 32 [size =\"21354496\"]\n  32 [size=\"32202752\", alpha=\"0.16\", expect_size=\"16101376\"] \n  32 -> 33 [size =\"16101376\"]\n  33 [size=\"82868224\", alpha=\"0.13\", expect_size=\"41434112\"] \n  33 -> 34 [size =\"41434112\"]\n  34 [size=\"95483904\", alpha=\"0.18\", expect_size=\"47741952\"] \n  34 -> 35 [size =\"47741952\"]\n  35 [size=\"51484672\", alpha=\"0.03\", expect_size=\"25742336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22585344\", alpha=\"0.02\", expect_size=\"11292672\"] \n  1 -> 11 [size =\"11292672\"]\n  1 -> 18 [size =\"11292672\"]\n  2 [size=\"34705408\", alpha=\"0.17\", expect_size=\"17352704\"] \n  2 -> 12 [size =\"17352704\"]\n  2 -> 16 [size =\"17352704\"]\n  2 -> 17 [size =\"17352704\"]\n  2 -> 20 [size =\"17352704\"]\n  3 [size=\"57401344\", alpha=\"0.13\", expect_size=\"28700672\"] \n  3 -> 11 [size =\"28700672\"]\n  3 -> 15 [size =\"28700672\"]\n  3 -> 18 [size =\"28700672\"]\n  3 -> 19 [size =\"28700672\"]\n  3 -> 20 [size =\"28700672\"]\n  4 [size=\"100968448\", alpha=\"0.07\", expect_size=\"50484224\"] \n  4 -> 14 [size =\"50484224\"]\n  4 -> 16 [size =\"50484224\"]\n  4 -> 18 [size =\"50484224\"]\n  5 [size=\"76009472\", alpha=\"0.05\", expect_size=\"38004736\"] \n  5 -> 13 [size =\"38004736\"]\n  5 -> 14 [size =\"38004736\"]\n  5 -> 18 [size =\"38004736\"]\n  6 [size=\"13436928\", alpha=\"0.01\", expect_size=\"6718464\"] \n  7 [size=\"71497728\", alpha=\"0.12\", expect_size=\"35748864\"] \n  7 -> 13 [size =\"35748864\"]\n  7 -> 17 [size =\"35748864\"]\n  7 -> 19 [size =\"35748864\"]\n  8 [size=\"70035456\", alpha=\"0.13\", expect_size=\"35017728\"] \n  8 -> 14 [size =\"35017728\"]\n  8 -> 15 [size =\"35017728\"]\n  8 -> 17 [size =\"35017728\"]\n  8 -> 18 [size =\"35017728\"]\n  9 [size=\"39014400\", alpha=\"0.03\", expect_size=\"19507200\"] \n  9 -> 11 [size =\"19507200\"]\n  9 -> 15 [size =\"19507200\"]\n  9 -> 19 [size =\"19507200\"]\n  10 [size=\"68036608\", alpha=\"0.07\", expect_size=\"34018304\"] \n  10 -> 11 [size =\"34018304\"]\n  10 -> 19 [size =\"34018304\"]\n  10 -> 21 [size =\"34018304\"]\n  10 -> 22 [size =\"34018304\"]\n  11 [size=\"95416320\", alpha=\"0.00\", expect_size=\"47708160\"] \n  11 -> 23 [size =\"47708160\"]\n  11 -> 25 [size =\"47708160\"]\n  11 -> 27 [size =\"47708160\"]\n  11 -> 30 [size =\"47708160\"]\n  12 [size=\"104601600\", alpha=\"0.18\", expect_size=\"52300800\"] \n  12 -> 25 [size =\"52300800\"]\n  12 -> 30 [size =\"52300800\"]\n  13 [size=\"88639488\", alpha=\"0.18\", expect_size=\"44319744\"] \n  13 -> 23 [size =\"44319744\"]\n  14 [size=\"57395200\", alpha=\"0.08\", expect_size=\"28697600\"] \n  14 -> 23 [size =\"28697600\"]\n  14 -> 27 [size =\"28697600\"]\n  14 -> 31 [size =\"28697600\"]\n  15 [size=\"90347520\", alpha=\"0.11\", expect_size=\"45173760\"] \n  15 -> 24 [size =\"45173760\"]\n  15 -> 25 [size =\"45173760\"]\n  15 -> 28 [size =\"45173760\"]\n  15 -> 29 [size =\"45173760\"]\n  15 -> 30 [size =\"45173760\"]\n  16 [size=\"18376704\", alpha=\"0.07\", expect_size=\"9188352\"] \n  16 -> 25 [size =\"9188352\"]\n  16 -> 28 [size =\"9188352\"]\n  16 -> 29 [size =\"9188352\"]\n  17 [size=\"25417728\", alpha=\"0.07\", expect_size=\"12708864\"] \n  17 -> 23 [size =\"12708864\"]\n  17 -> 25 [size =\"12708864\"]\n  17 -> 26 [size =\"12708864\"]\n  17 -> 27 [size =\"12708864\"]\n  17 -> 29 [size =\"12708864\"]\n  18 [size=\"83175424\", alpha=\"0.02\", expect_size=\"41587712\"] \n  18 -> 24 [size =\"41587712\"]\n  18 -> 30 [size =\"41587712\"]\n  19 [size=\"48138240\", alpha=\"0.00\", expect_size=\"24069120\"] \n  19 -> 28 [size =\"24069120\"]\n  19 -> 30 [size =\"24069120\"]\n  20 [size=\"63563776\", alpha=\"0.11\", expect_size=\"31781888\"] \n  21 [size=\"97892352\", alpha=\"0.03\", expect_size=\"48946176\"] \n  21 -> 23 [size =\"48946176\"]\n  21 -> 24 [size =\"48946176\"]\n  21 -> 27 [size =\"48946176\"]\n  21 -> 31 [size =\"48946176\"]\n  22 [size=\"97933312\", alpha=\"0.01\", expect_size=\"48966656\"] \n  22 -> 23 [size =\"48966656\"]\n  22 -> 25 [size =\"48966656\"]\n  22 -> 27 [size =\"48966656\"]\n  22 -> 31 [size =\"48966656\"]\n  23 [size=\"90793984\", alpha=\"0.09\", expect_size=\"45396992\"] \n  24 [size=\"79874048\", alpha=\"0.16\", expect_size=\"39937024\"] \n  24 -> 33 [size =\"39937024\"]\n  24 -> 34 [size =\"39937024\"]\n  25 [size=\"24715264\", alpha=\"0.17\", expect_size=\"12357632\"] \n  25 -> 35 [size =\"12357632\"]\n  26 [size=\"78080000\", alpha=\"0.18\", expect_size=\"39040000\"] \n  26 -> 32 [size =\"39040000\"]\n  27 [size=\"16740352\", alpha=\"0.12\", expect_size=\"8370176\"] \n  27 -> 34 [size =\"8370176\"]\n  28 [size=\"48982016\", alpha=\"0.19\", expect_size=\"24491008\"] \n  29 [size=\"58986496\", alpha=\"0.12\", expect_size=\"29493248\"] \n  29 -> 35 [size =\"29493248\"]\n  30 [size=\"60852224\", alpha=\"0.18\", expect_size=\"30426112\"] \n  30 -> 35 [size =\"30426112\"]\n  31 [size=\"16087040\", alpha=\"0.01\", expect_size=\"8043520\"] \n  31 -> 33 [size =\"8043520\"]\n  32 [size=\"31160320\", alpha=\"0.04\", expect_size=\"15580160\"] \n  33 [size=\"35921920\", alpha=\"0.04\", expect_size=\"17960960\"] \n  34 [size=\"77289472\", alpha=\"0.13\", expect_size=\"38644736\"] \n  35 [size=\"57001984\", alpha=\"0.00\", expect_size=\"28500992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39180288\", alpha=\"0.10\", expect_size=\"19590144\"] \n  1 -> 21 [size =\"19590144\"]\n  1 -> 21 [size =\"19590144\"]\n  1 -> 22 [size =\"19590144\"]\n  1 -> 23 [size =\"19590144\"]\n  1 -> 25 [size =\"19590144\"]\n  1 -> 33 [size =\"19590144\"]\n  1 -> 35 [size =\"19590144\"]\n  2 [size=\"64899072\", alpha=\"0.07\", expect_size=\"32449536\"] \n  2 -> 18 [size =\"32449536\"]\n  2 -> 21 [size =\"32449536\"]\n  2 -> 22 [size =\"32449536\"]\n  2 -> 25 [size =\"32449536\"]\n  2 -> 28 [size =\"32449536\"]\n  2 -> 32 [size =\"32449536\"]\n  2 -> 35 [size =\"32449536\"]\n  3 [size=\"13588480\", alpha=\"0.10\", expect_size=\"6794240\"] \n  3 -> 19 [size =\"6794240\"]\n  3 -> 20 [size =\"6794240\"]\n  3 -> 21 [size =\"6794240\"]\n  3 -> 26 [size =\"6794240\"]\n  3 -> 27 [size =\"6794240\"]\n  3 -> 28 [size =\"6794240\"]\n  3 -> 29 [size =\"6794240\"]\n  3 -> 31 [size =\"6794240\"]\n  4 [size=\"84234240\", alpha=\"0.11\", expect_size=\"42117120\"] \n  4 -> 19 [size =\"42117120\"]\n  4 -> 20 [size =\"42117120\"]\n  4 -> 21 [size =\"42117120\"]\n  4 -> 22 [size =\"42117120\"]\n  4 -> 24 [size =\"42117120\"]\n  4 -> 28 [size =\"42117120\"]\n  4 -> 30 [size =\"42117120\"]\n  4 -> 33 [size =\"42117120\"]\n  5 [size=\"58791936\", alpha=\"0.11\", expect_size=\"29395968\"] \n  5 -> 21 [size =\"29395968\"]\n  5 -> 22 [size =\"29395968\"]\n  5 -> 25 [size =\"29395968\"]\n  5 -> 28 [size =\"29395968\"]\n  5 -> 30 [size =\"29395968\"]\n  5 -> 35 [size =\"29395968\"]\n  6 [size=\"74246144\", alpha=\"0.07\", expect_size=\"37123072\"] \n  6 -> 19 [size =\"37123072\"]\n  6 -> 23 [size =\"37123072\"]\n  6 -> 25 [size =\"37123072\"]\n  6 -> 26 [size =\"37123072\"]\n  6 -> 28 [size =\"37123072\"]\n  6 -> 33 [size =\"37123072\"]\n  6 -> 35 [size =\"37123072\"]\n  7 [size=\"50698240\", alpha=\"0.11\", expect_size=\"25349120\"] \n  7 -> 18 [size =\"25349120\"]\n  7 -> 20 [size =\"25349120\"]\n  7 -> 22 [size =\"25349120\"]\n  7 -> 27 [size =\"25349120\"]\n  7 -> 28 [size =\"25349120\"]\n  7 -> 31 [size =\"25349120\"]\n  7 -> 34 [size =\"25349120\"]\n  7 -> 35 [size =\"25349120\"]\n  8 [size=\"32223232\", alpha=\"0.02\", expect_size=\"16111616\"] \n  8 -> 19 [size =\"16111616\"]\n  8 -> 22 [size =\"16111616\"]\n  8 -> 22 [size =\"16111616\"]\n  8 -> 24 [size =\"16111616\"]\n  8 -> 28 [size =\"16111616\"]\n  8 -> 31 [size =\"16111616\"]\n  8 -> 34 [size =\"16111616\"]\n  8 -> 35 [size =\"16111616\"]\n  9 [size=\"74663936\", alpha=\"0.10\", expect_size=\"37331968\"] \n  9 -> 21 [size =\"37331968\"]\n  9 -> 24 [size =\"37331968\"]\n  9 -> 25 [size =\"37331968\"]\n  9 -> 35 [size =\"37331968\"]\n  10 [size=\"13996032\", alpha=\"0.10\", expect_size=\"6998016\"] \n  10 -> 19 [size =\"6998016\"]\n  10 -> 25 [size =\"6998016\"]\n  10 -> 26 [size =\"6998016\"]\n  10 -> 27 [size =\"6998016\"]\n  10 -> 29 [size =\"6998016\"]\n  11 [size=\"100616192\", alpha=\"0.19\", expect_size=\"50308096\"] \n  11 -> 19 [size =\"50308096\"]\n  11 -> 21 [size =\"50308096\"]\n  11 -> 22 [size =\"50308096\"]\n  11 -> 24 [size =\"50308096\"]\n  11 -> 28 [size =\"50308096\"]\n  11 -> 31 [size =\"50308096\"]\n  12 [size=\"53041152\", alpha=\"0.15\", expect_size=\"26520576\"] \n  12 -> 19 [size =\"26520576\"]\n  12 -> 21 [size =\"26520576\"]\n  12 -> 26 [size =\"26520576\"]\n  12 -> 29 [size =\"26520576\"]\n  12 -> 30 [size =\"26520576\"]\n  13 [size=\"85716992\", alpha=\"0.15\", expect_size=\"42858496\"] \n  13 -> 18 [size =\"42858496\"]\n  13 -> 25 [size =\"42858496\"]\n  13 -> 26 [size =\"42858496\"]\n  13 -> 27 [size =\"42858496\"]\n  13 -> 28 [size =\"42858496\"]\n  13 -> 29 [size =\"42858496\"]\n  13 -> 30 [size =\"42858496\"]\n  13 -> 35 [size =\"42858496\"]\n  14 [size=\"40001536\", alpha=\"0.05\", expect_size=\"20000768\"] \n  14 -> 18 [size =\"20000768\"]\n  14 -> 19 [size =\"20000768\"]\n  14 -> 25 [size =\"20000768\"]\n  14 -> 27 [size =\"20000768\"]\n  14 -> 28 [size =\"20000768\"]\n  14 -> 29 [size =\"20000768\"]\n  15 [size=\"93018112\", alpha=\"0.20\", expect_size=\"46509056\"] \n  15 -> 24 [size =\"46509056\"]\n  15 -> 25 [size =\"46509056\"]\n  15 -> 26 [size =\"46509056\"]\n  15 -> 28 [size =\"46509056\"]\n  15 -> 30 [size =\"46509056\"]\n  15 -> 31 [size =\"46509056\"]\n  15 -> 33 [size =\"46509056\"]\n  15 -> 35 [size =\"46509056\"]\n  16 [size=\"51202048\", alpha=\"0.12\", expect_size=\"25601024\"] \n  16 -> 21 [size =\"25601024\"]\n  16 -> 22 [size =\"25601024\"]\n  16 -> 25 [size =\"25601024\"]\n  16 -> 28 [size =\"25601024\"]\n  16 -> 31 [size =\"25601024\"]\n  16 -> 35 [size =\"25601024\"]\n  17 [size=\"84627456\", alpha=\"0.06\", expect_size=\"42313728\"] \n  17 -> 18 [size =\"42313728\"]\n  17 -> 21 [size =\"42313728\"]\n  17 -> 22 [size =\"42313728\"]\n  17 -> 23 [size =\"42313728\"]\n  17 -> 25 [size =\"42313728\"]\n  17 -> 29 [size =\"42313728\"]\n  17 -> 31 [size =\"42313728\"]\n  17 -> 34 [size =\"42313728\"]\n  17 -> 35 [size =\"42313728\"]\n  18 [size=\"42272768\", alpha=\"0.17\", expect_size=\"21136384\"] \n  19 [size=\"50616320\", alpha=\"0.17\", expect_size=\"25308160\"] \n  20 [size=\"96454656\", alpha=\"0.15\", expect_size=\"48227328\"] \n  21 [size=\"50153472\", alpha=\"0.19\", expect_size=\"25076736\"] \n  22 [size=\"44384256\", alpha=\"0.14\", expect_size=\"22192128\"] \n  23 [size=\"21463040\", alpha=\"0.11\", expect_size=\"10731520\"] \n  24 [size=\"92792832\", alpha=\"0.02\", expect_size=\"46396416\"] \n  25 [size=\"19701760\", alpha=\"0.04\", expect_size=\"9850880\"] \n  26 [size=\"18903040\", alpha=\"0.20\", expect_size=\"9451520\"] \n  27 [size=\"76697600\", alpha=\"0.03\", expect_size=\"38348800\"] \n  28 [size=\"104237056\", alpha=\"0.12\", expect_size=\"52118528\"] \n  29 [size=\"90888192\", alpha=\"0.14\", expect_size=\"45444096\"] \n  30 [size=\"78884864\", alpha=\"0.17\", expect_size=\"39442432\"] \n  31 [size=\"56379392\", alpha=\"0.19\", expect_size=\"28189696\"] \n  32 [size=\"52070400\", alpha=\"0.10\", expect_size=\"26035200\"] \n  33 [size=\"26001408\", alpha=\"0.17\", expect_size=\"13000704\"] \n  34 [size=\"75646976\", alpha=\"0.10\", expect_size=\"37823488\"] \n  35 [size=\"86009856\", alpha=\"0.01\", expect_size=\"43004928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56230400\", alpha=\"0.14\", expect_size=\"22492160\"] \n  1 -> 16 [size =\"22492160\"]\n  1 -> 17 [size =\"22492160\"]\n  1 -> 18 [size =\"22492160\"]\n  1 -> 22 [size =\"22492160\"]\n  1 -> 23 [size =\"22492160\"]\n  2 [size=\"112691200\", alpha=\"0.04\", expect_size=\"45076480\"] \n  2 -> 17 [size =\"45076480\"]\n  3 [size=\"74862080\", alpha=\"0.17\", expect_size=\"29944832\"] \n  3 -> 16 [size =\"29944832\"]\n  3 -> 21 [size =\"29944832\"]\n  3 -> 23 [size =\"29944832\"]\n  3 -> 24 [size =\"29944832\"]\n  4 [size=\"116206080\", alpha=\"0.15\", expect_size=\"46482432\"] \n  4 -> 18 [size =\"46482432\"]\n  4 -> 22 [size =\"46482432\"]\n  4 -> 23 [size =\"46482432\"]\n  5 [size=\"124367360\", alpha=\"0.12\", expect_size=\"49746944\"] \n  5 -> 17 [size =\"49746944\"]\n  5 -> 22 [size =\"49746944\"]\n  5 -> 23 [size =\"49746944\"]\n  5 -> 24 [size =\"49746944\"]\n  6 [size=\"14620160\", alpha=\"0.03\", expect_size=\"5848064\"] \n  6 -> 17 [size =\"5848064\"]\n  6 -> 20 [size =\"5848064\"]\n  6 -> 25 [size =\"5848064\"]\n  7 [size=\"48990720\", alpha=\"0.15\", expect_size=\"19596288\"] \n  7 -> 17 [size =\"19596288\"]\n  7 -> 20 [size =\"19596288\"]\n  7 -> 23 [size =\"19596288\"]\n  7 -> 24 [size =\"19596288\"]\n  8 [size=\"100403200\", alpha=\"0.08\", expect_size=\"40161280\"] \n  8 -> 16 [size =\"40161280\"]\n  8 -> 17 [size =\"40161280\"]\n  8 -> 20 [size =\"40161280\"]\n  8 -> 22 [size =\"40161280\"]\n  8 -> 25 [size =\"40161280\"]\n  9 [size=\"109058560\", alpha=\"0.08\", expect_size=\"43623424\"] \n  9 -> 16 [size =\"43623424\"]\n  9 -> 17 [size =\"43623424\"]\n  9 -> 19 [size =\"43623424\"]\n  9 -> 20 [size =\"43623424\"]\n  9 -> 23 [size =\"43623424\"]\n  10 [size=\"67056640\", alpha=\"0.14\", expect_size=\"26822656\"] \n  10 -> 16 [size =\"26822656\"]\n  10 -> 17 [size =\"26822656\"]\n  10 -> 18 [size =\"26822656\"]\n  10 -> 22 [size =\"26822656\"]\n  10 -> 24 [size =\"26822656\"]\n  11 [size=\"20743680\", alpha=\"0.03\", expect_size=\"8297472\"] \n  11 -> 17 [size =\"8297472\"]\n  11 -> 18 [size =\"8297472\"]\n  11 -> 18 [size =\"8297472\"]\n  11 -> 22 [size =\"8297472\"]\n  11 -> 24 [size =\"8297472\"]\n  12 [size=\"102663680\", alpha=\"0.02\", expect_size=\"41065472\"] \n  12 -> 16 [size =\"41065472\"]\n  12 -> 18 [size =\"41065472\"]\n  12 -> 20 [size =\"41065472\"]\n  12 -> 22 [size =\"41065472\"]\n  12 -> 23 [size =\"41065472\"]\n  12 -> 24 [size =\"41065472\"]\n  12 -> 25 [size =\"41065472\"]\n  13 [size=\"124490240\", alpha=\"0.09\", expect_size=\"49796096\"] \n  13 -> 16 [size =\"49796096\"]\n  13 -> 18 [size =\"49796096\"]\n  13 -> 22 [size =\"49796096\"]\n  13 -> 22 [size =\"49796096\"]\n  13 -> 25 [size =\"49796096\"]\n  14 [size=\"108935680\", alpha=\"0.04\", expect_size=\"43574272\"] \n  14 -> 16 [size =\"43574272\"]\n  14 -> 17 [size =\"43574272\"]\n  14 -> 18 [size =\"43574272\"]\n  14 -> 22 [size =\"43574272\"]\n  14 -> 25 [size =\"43574272\"]\n  15 [size=\"77314560\", alpha=\"0.01\", expect_size=\"30925824\"] \n  15 -> 16 [size =\"30925824\"]\n  15 -> 17 [size =\"30925824\"]\n  15 -> 18 [size =\"30925824\"]\n  15 -> 24 [size =\"30925824\"]\n  16 [size=\"30458880\", alpha=\"0.00\", expect_size=\"12183552\"] \n  16 -> 28 [size =\"12183552\"]\n  16 -> 29 [size =\"12183552\"]\n  16 -> 35 [size =\"12183552\"]\n  17 [size=\"50754560\", alpha=\"0.03\", expect_size=\"20301824\"] \n  17 -> 26 [size =\"20301824\"]\n  17 -> 29 [size =\"20301824\"]\n  17 -> 30 [size =\"20301824\"]\n  17 -> 31 [size =\"20301824\"]\n  17 -> 32 [size =\"20301824\"]\n  17 -> 35 [size =\"20301824\"]\n  18 [size=\"21608960\", alpha=\"0.02\", expect_size=\"8643584\"] \n  18 -> 26 [size =\"8643584\"]\n  18 -> 30 [size =\"8643584\"]\n  19 [size=\"67077120\", alpha=\"0.18\", expect_size=\"26830848\"] \n  19 -> 32 [size =\"26830848\"]\n  20 [size=\"115906560\", alpha=\"0.12\", expect_size=\"46362624\"] \n  20 -> 28 [size =\"46362624\"]\n  20 -> 29 [size =\"46362624\"]\n  20 -> 30 [size =\"46362624\"]\n  20 -> 32 [size =\"46362624\"]\n  21 [size=\"77652480\", alpha=\"0.14\", expect_size=\"31060992\"] \n  21 -> 27 [size =\"31060992\"]\n  21 -> 28 [size =\"31060992\"]\n  21 -> 29 [size =\"31060992\"]\n  21 -> 30 [size =\"31060992\"]\n  21 -> 33 [size =\"31060992\"]\n  22 [size=\"98104320\", alpha=\"0.12\", expect_size=\"39241728\"] \n  22 -> 28 [size =\"39241728\"]\n  22 -> 29 [size =\"39241728\"]\n  22 -> 29 [size =\"39241728\"]\n  22 -> 30 [size =\"39241728\"]\n  22 -> 33 [size =\"39241728\"]\n  22 -> 35 [size =\"39241728\"]\n  23 [size=\"108096000\", alpha=\"0.01\", expect_size=\"43238400\"] \n  23 -> 27 [size =\"43238400\"]\n  23 -> 28 [size =\"43238400\"]\n  23 -> 30 [size =\"43238400\"]\n  23 -> 32 [size =\"43238400\"]\n  23 -> 35 [size =\"43238400\"]\n  23 -> 35 [size =\"43238400\"]\n  24 [size=\"44334080\", alpha=\"0.07\", expect_size=\"17733632\"] \n  24 -> 28 [size =\"17733632\"]\n  24 -> 30 [size =\"17733632\"]\n  24 -> 31 [size =\"17733632\"]\n  24 -> 32 [size =\"17733632\"]\n  25 [size=\"65216000\", alpha=\"0.12\", expect_size=\"26086400\"] \n  25 -> 26 [size =\"26086400\"]\n  25 -> 28 [size =\"26086400\"]\n  25 -> 34 [size =\"26086400\"]\n  25 -> 35 [size =\"26086400\"]\n  26 [size=\"71613440\", alpha=\"0.18\", expect_size=\"28645376\"] \n  27 [size=\"74012160\", alpha=\"0.10\", expect_size=\"29604864\"] \n  28 [size=\"92902400\", alpha=\"0.16\", expect_size=\"37160960\"] \n  29 [size=\"106222080\", alpha=\"0.19\", expect_size=\"42488832\"] \n  30 [size=\"93194240\", alpha=\"0.10\", expect_size=\"37277696\"] \n  31 [size=\"46105600\", alpha=\"0.03\", expect_size=\"18442240\"] \n  32 [size=\"126046720\", alpha=\"0.12\", expect_size=\"50418688\"] \n  33 [size=\"78704640\", alpha=\"0.19\", expect_size=\"31481856\"] \n  34 [size=\"83804160\", alpha=\"0.02\", expect_size=\"33521664\"] \n  35 [size=\"126476800\", alpha=\"0.17\", expect_size=\"50590720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120611840\", alpha=\"0.07\", expect_size=\"48244736\"] \n  1 -> 32 [size =\"48244736\"]\n  2 [size=\"74490880\", alpha=\"0.09\", expect_size=\"29796352\"] \n  2 -> 23 [size =\"29796352\"]\n  2 -> 25 [size =\"29796352\"]\n  2 -> 32 [size =\"29796352\"]\n  3 [size=\"89328640\", alpha=\"0.11\", expect_size=\"35731456\"] \n  3 -> 25 [size =\"35731456\"]\n  3 -> 28 [size =\"35731456\"]\n  3 -> 29 [size =\"35731456\"]\n  3 -> 31 [size =\"35731456\"]\n  3 -> 33 [size =\"35731456\"]\n  4 [size=\"84789760\", alpha=\"0.13\", expect_size=\"33915904\"] \n  4 -> 28 [size =\"33915904\"]\n  4 -> 31 [size =\"33915904\"]\n  4 -> 33 [size =\"33915904\"]\n  5 [size=\"71800320\", alpha=\"0.08\", expect_size=\"28720128\"] \n  5 -> 28 [size =\"28720128\"]\n  5 -> 33 [size =\"28720128\"]\n  5 -> 34 [size =\"28720128\"]\n  5 -> 35 [size =\"28720128\"]\n  6 [size=\"37488640\", alpha=\"0.04\", expect_size=\"14995456\"] \n  6 -> 26 [size =\"14995456\"]\n  6 -> 29 [size =\"14995456\"]\n  6 -> 31 [size =\"14995456\"]\n  6 -> 34 [size =\"14995456\"]\n  6 -> 35 [size =\"14995456\"]\n  7 [size=\"21757440\", alpha=\"0.19\", expect_size=\"8702976\"] \n  7 -> 25 [size =\"8702976\"]\n  7 -> 26 [size =\"8702976\"]\n  7 -> 28 [size =\"8702976\"]\n  7 -> 35 [size =\"8702976\"]\n  7 -> 35 [size =\"8702976\"]\n  8 [size=\"128122880\", alpha=\"0.11\", expect_size=\"51249152\"] \n  8 -> 24 [size =\"51249152\"]\n  8 -> 25 [size =\"51249152\"]\n  8 -> 26 [size =\"51249152\"]\n  8 -> 28 [size =\"51249152\"]\n  8 -> 29 [size =\"51249152\"]\n  9 [size=\"25123840\", alpha=\"0.03\", expect_size=\"10049536\"] \n  9 -> 23 [size =\"10049536\"]\n  9 -> 25 [size =\"10049536\"]\n  9 -> 31 [size =\"10049536\"]\n  9 -> 33 [size =\"10049536\"]\n  9 -> 34 [size =\"10049536\"]\n  10 [size=\"91783680\", alpha=\"0.08\", expect_size=\"36713472\"] \n  10 -> 26 [size =\"36713472\"]\n  10 -> 31 [size =\"36713472\"]\n  11 [size=\"120537600\", alpha=\"0.20\", expect_size=\"48215040\"] \n  11 -> 24 [size =\"48215040\"]\n  11 -> 34 [size =\"48215040\"]\n  11 -> 35 [size =\"48215040\"]\n  12 [size=\"45468160\", alpha=\"0.11\", expect_size=\"18187264\"] \n  12 -> 23 [size =\"18187264\"]\n  12 -> 25 [size =\"18187264\"]\n  12 -> 28 [size =\"18187264\"]\n  12 -> 31 [size =\"18187264\"]\n  12 -> 32 [size =\"18187264\"]\n  12 -> 33 [size =\"18187264\"]\n  12 -> 35 [size =\"18187264\"]\n  13 [size=\"96898560\", alpha=\"0.14\", expect_size=\"38759424\"] \n  13 -> 23 [size =\"38759424\"]\n  13 -> 28 [size =\"38759424\"]\n  13 -> 31 [size =\"38759424\"]\n  14 [size=\"41958400\", alpha=\"0.10\", expect_size=\"16783360\"] \n  14 -> 25 [size =\"16783360\"]\n  14 -> 26 [size =\"16783360\"]\n  14 -> 28 [size =\"16783360\"]\n  14 -> 32 [size =\"16783360\"]\n  14 -> 34 [size =\"16783360\"]\n  14 -> 35 [size =\"16783360\"]\n  15 [size=\"120427520\", alpha=\"0.13\", expect_size=\"48171008\"] \n  15 -> 24 [size =\"48171008\"]\n  15 -> 26 [size =\"48171008\"]\n  15 -> 35 [size =\"48171008\"]\n  16 [size=\"52034560\", alpha=\"0.14\", expect_size=\"20813824\"] \n  16 -> 26 [size =\"20813824\"]\n  16 -> 26 [size =\"20813824\"]\n  16 -> 29 [size =\"20813824\"]\n  16 -> 30 [size =\"20813824\"]\n  16 -> 32 [size =\"20813824\"]\n  16 -> 33 [size =\"20813824\"]\n  16 -> 35 [size =\"20813824\"]\n  17 [size=\"73075200\", alpha=\"0.10\", expect_size=\"29230080\"] \n  17 -> 27 [size =\"29230080\"]\n  17 -> 28 [size =\"29230080\"]\n  17 -> 30 [size =\"29230080\"]\n  17 -> 33 [size =\"29230080\"]\n  18 [size=\"68108800\", alpha=\"0.10\", expect_size=\"27243520\"] \n  18 -> 30 [size =\"27243520\"]\n  18 -> 33 [size =\"27243520\"]\n  18 -> 35 [size =\"27243520\"]\n  19 [size=\"14896640\", alpha=\"0.19\", expect_size=\"5958656\"] \n  19 -> 25 [size =\"5958656\"]\n  19 -> 28 [size =\"5958656\"]\n  19 -> 30 [size =\"5958656\"]\n  19 -> 35 [size =\"5958656\"]\n  20 [size=\"35397120\", alpha=\"0.01\", expect_size=\"14158848\"] \n  20 -> 25 [size =\"14158848\"]\n  20 -> 28 [size =\"14158848\"]\n  20 -> 29 [size =\"14158848\"]\n  20 -> 30 [size =\"14158848\"]\n  20 -> 32 [size =\"14158848\"]\n  20 -> 35 [size =\"14158848\"]\n  21 [size=\"84426240\", alpha=\"0.02\", expect_size=\"33770496\"] \n  22 [size=\"82918400\", alpha=\"0.13\", expect_size=\"33167360\"] \n  22 -> 23 [size =\"33167360\"]\n  22 -> 24 [size =\"33167360\"]\n  22 -> 26 [size =\"33167360\"]\n  22 -> 28 [size =\"33167360\"]\n  22 -> 33 [size =\"33167360\"]\n  22 -> 35 [size =\"33167360\"]\n  23 [size=\"27471360\", alpha=\"0.18\", expect_size=\"10988544\"] \n  24 [size=\"110182400\", alpha=\"0.14\", expect_size=\"44072960\"] \n  25 [size=\"48532480\", alpha=\"0.00\", expect_size=\"19412992\"] \n  26 [size=\"127285760\", alpha=\"0.11\", expect_size=\"50914304\"] \n  27 [size=\"89661440\", alpha=\"0.03\", expect_size=\"35864576\"] \n  28 [size=\"27896320\", alpha=\"0.14\", expect_size=\"11158528\"] \n  29 [size=\"88215040\", alpha=\"0.08\", expect_size=\"35286016\"] \n  30 [size=\"79636480\", alpha=\"0.14\", expect_size=\"31854592\"] \n  31 [size=\"86786560\", alpha=\"0.19\", expect_size=\"34714624\"] \n  32 [size=\"99210240\", alpha=\"0.10\", expect_size=\"39684096\"] \n  33 [size=\"60326400\", alpha=\"0.15\", expect_size=\"24130560\"] \n  34 [size=\"46353920\", alpha=\"0.04\", expect_size=\"18541568\"] \n  35 [size=\"128977920\", alpha=\"0.12\", expect_size=\"51591168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109104640\", alpha=\"0.03\", expect_size=\"43641856\"] \n  1 -> 26 [size =\"43641856\"]\n  1 -> 30 [size =\"43641856\"]\n  1 -> 31 [size =\"43641856\"]\n  1 -> 32 [size =\"43641856\"]\n  1 -> 34 [size =\"43641856\"]\n  1 -> 35 [size =\"43641856\"]\n  2 [size=\"33909760\", alpha=\"0.06\", expect_size=\"13563904\"] \n  2 -> 28 [size =\"13563904\"]\n  2 -> 29 [size =\"13563904\"]\n  2 -> 31 [size =\"13563904\"]\n  2 -> 32 [size =\"13563904\"]\n  2 -> 34 [size =\"13563904\"]\n  3 [size=\"78574080\", alpha=\"0.11\", expect_size=\"31429632\"] \n  3 -> 26 [size =\"31429632\"]\n  3 -> 28 [size =\"31429632\"]\n  3 -> 29 [size =\"31429632\"]\n  3 -> 30 [size =\"31429632\"]\n  3 -> 34 [size =\"31429632\"]\n  3 -> 35 [size =\"31429632\"]\n  4 [size=\"82048000\", alpha=\"0.16\", expect_size=\"32819200\"] \n  4 -> 28 [size =\"32819200\"]\n  4 -> 28 [size =\"32819200\"]\n  4 -> 29 [size =\"32819200\"]\n  4 -> 30 [size =\"32819200\"]\n  4 -> 34 [size =\"32819200\"]\n  4 -> 35 [size =\"32819200\"]\n  5 [size=\"126576640\", alpha=\"0.09\", expect_size=\"50630656\"] \n  5 -> 26 [size =\"50630656\"]\n  5 -> 30 [size =\"50630656\"]\n  5 -> 32 [size =\"50630656\"]\n  5 -> 34 [size =\"50630656\"]\n  5 -> 35 [size =\"50630656\"]\n  6 [size=\"129564160\", alpha=\"0.13\", expect_size=\"51825664\"] \n  6 -> 26 [size =\"51825664\"]\n  6 -> 28 [size =\"51825664\"]\n  6 -> 30 [size =\"51825664\"]\n  6 -> 31 [size =\"51825664\"]\n  6 -> 32 [size =\"51825664\"]\n  6 -> 35 [size =\"51825664\"]\n  7 [size=\"45672960\", alpha=\"0.11\", expect_size=\"18269184\"] \n  7 -> 26 [size =\"18269184\"]\n  7 -> 27 [size =\"18269184\"]\n  7 -> 28 [size =\"18269184\"]\n  7 -> 30 [size =\"18269184\"]\n  7 -> 31 [size =\"18269184\"]\n  7 -> 32 [size =\"18269184\"]\n  7 -> 34 [size =\"18269184\"]\n  7 -> 35 [size =\"18269184\"]\n  8 [size=\"80532480\", alpha=\"0.19\", expect_size=\"32212992\"] \n  8 -> 26 [size =\"32212992\"]\n  8 -> 28 [size =\"32212992\"]\n  8 -> 29 [size =\"32212992\"]\n  8 -> 30 [size =\"32212992\"]\n  8 -> 32 [size =\"32212992\"]\n  8 -> 34 [size =\"32212992\"]\n  9 [size=\"97041920\", alpha=\"0.09\", expect_size=\"38816768\"] \n  9 -> 26 [size =\"38816768\"]\n  9 -> 28 [size =\"38816768\"]\n  9 -> 29 [size =\"38816768\"]\n  9 -> 30 [size =\"38816768\"]\n  9 -> 31 [size =\"38816768\"]\n  9 -> 34 [size =\"38816768\"]\n  10 [size=\"23193600\", alpha=\"0.05\", expect_size=\"9277440\"] \n  10 -> 26 [size =\"9277440\"]\n  10 -> 28 [size =\"9277440\"]\n  10 -> 29 [size =\"9277440\"]\n  10 -> 30 [size =\"9277440\"]\n  10 -> 34 [size =\"9277440\"]\n  10 -> 34 [size =\"9277440\"]\n  10 -> 35 [size =\"9277440\"]\n  11 [size=\"79703040\", alpha=\"0.15\", expect_size=\"31881216\"] \n  11 -> 26 [size =\"31881216\"]\n  11 -> 29 [size =\"31881216\"]\n  11 -> 29 [size =\"31881216\"]\n  11 -> 30 [size =\"31881216\"]\n  11 -> 34 [size =\"31881216\"]\n  11 -> 35 [size =\"31881216\"]\n  12 [size=\"98700800\", alpha=\"0.08\", expect_size=\"39480320\"] \n  12 -> 26 [size =\"39480320\"]\n  12 -> 28 [size =\"39480320\"]\n  12 -> 29 [size =\"39480320\"]\n  12 -> 30 [size =\"39480320\"]\n  12 -> 32 [size =\"39480320\"]\n  12 -> 34 [size =\"39480320\"]\n  12 -> 35 [size =\"39480320\"]\n  13 [size=\"17963520\", alpha=\"0.06\", expect_size=\"7185408\"] \n  13 -> 29 [size =\"7185408\"]\n  13 -> 32 [size =\"7185408\"]\n  13 -> 34 [size =\"7185408\"]\n  13 -> 35 [size =\"7185408\"]\n  14 [size=\"83573760\", alpha=\"0.16\", expect_size=\"33429504\"] \n  14 -> 28 [size =\"33429504\"]\n  14 -> 29 [size =\"33429504\"]\n  14 -> 34 [size =\"33429504\"]\n  14 -> 35 [size =\"33429504\"]\n  15 [size=\"61496320\", alpha=\"0.17\", expect_size=\"24598528\"] \n  15 -> 30 [size =\"24598528\"]\n  15 -> 31 [size =\"24598528\"]\n  15 -> 32 [size =\"24598528\"]\n  15 -> 33 [size =\"24598528\"]\n  15 -> 34 [size =\"24598528\"]\n  15 -> 35 [size =\"24598528\"]\n  16 [size=\"115276800\", alpha=\"0.18\", expect_size=\"46110720\"] \n  16 -> 31 [size =\"46110720\"]\n  16 -> 33 [size =\"46110720\"]\n  16 -> 35 [size =\"46110720\"]\n  17 [size=\"74344960\", alpha=\"0.02\", expect_size=\"29737984\"] \n  17 -> 28 [size =\"29737984\"]\n  17 -> 29 [size =\"29737984\"]\n  17 -> 30 [size =\"29737984\"]\n  17 -> 31 [size =\"29737984\"]\n  17 -> 34 [size =\"29737984\"]\n  17 -> 35 [size =\"29737984\"]\n  18 [size=\"21655040\", alpha=\"0.06\", expect_size=\"8662016\"] \n  18 -> 27 [size =\"8662016\"]\n  18 -> 28 [size =\"8662016\"]\n  18 -> 29 [size =\"8662016\"]\n  18 -> 31 [size =\"8662016\"]\n  18 -> 34 [size =\"8662016\"]\n  19 [size=\"18260480\", alpha=\"0.06\", expect_size=\"7304192\"] \n  19 -> 29 [size =\"7304192\"]\n  19 -> 31 [size =\"7304192\"]\n  19 -> 32 [size =\"7304192\"]\n  19 -> 34 [size =\"7304192\"]\n  19 -> 35 [size =\"7304192\"]\n  20 [size=\"69283840\", alpha=\"0.15\", expect_size=\"27713536\"] \n  20 -> 26 [size =\"27713536\"]\n  20 -> 29 [size =\"27713536\"]\n  20 -> 30 [size =\"27713536\"]\n  20 -> 34 [size =\"27713536\"]\n  20 -> 35 [size =\"27713536\"]\n  21 [size=\"98245120\", alpha=\"0.00\", expect_size=\"39298048\"] \n  21 -> 26 [size =\"39298048\"]\n  21 -> 29 [size =\"39298048\"]\n  21 -> 30 [size =\"39298048\"]\n  21 -> 32 [size =\"39298048\"]\n  21 -> 34 [size =\"39298048\"]\n  21 -> 35 [size =\"39298048\"]\n  22 [size=\"71406080\", alpha=\"0.09\", expect_size=\"28562432\"] \n  22 -> 28 [size =\"28562432\"]\n  22 -> 29 [size =\"28562432\"]\n  22 -> 33 [size =\"28562432\"]\n  22 -> 35 [size =\"28562432\"]\n  23 [size=\"117678080\", alpha=\"0.09\", expect_size=\"47071232\"] \n  23 -> 26 [size =\"47071232\"]\n  23 -> 27 [size =\"47071232\"]\n  23 -> 28 [size =\"47071232\"]\n  23 -> 29 [size =\"47071232\"]\n  23 -> 35 [size =\"47071232\"]\n  24 [size=\"36300800\", alpha=\"0.01\", expect_size=\"14520320\"] \n  24 -> 26 [size =\"14520320\"]\n  24 -> 29 [size =\"14520320\"]\n  24 -> 32 [size =\"14520320\"]\n  24 -> 34 [size =\"14520320\"]\n  24 -> 35 [size =\"14520320\"]\n  25 [size=\"128476160\", alpha=\"0.12\", expect_size=\"51390464\"] \n  25 -> 29 [size =\"51390464\"]\n  25 -> 30 [size =\"51390464\"]\n  25 -> 32 [size =\"51390464\"]\n  25 -> 34 [size =\"51390464\"]\n  26 [size=\"109565440\", alpha=\"0.03\", expect_size=\"43826176\"] \n  27 [size=\"100106240\", alpha=\"0.19\", expect_size=\"40042496\"] \n  28 [size=\"113346560\", alpha=\"0.06\", expect_size=\"45338624\"] \n  29 [size=\"32796160\", alpha=\"0.08\", expect_size=\"13118464\"] \n  30 [size=\"67834880\", alpha=\"0.12\", expect_size=\"27133952\"] \n  31 [size=\"38494720\", alpha=\"0.07\", expect_size=\"15397888\"] \n  32 [size=\"40775680\", alpha=\"0.16\", expect_size=\"16310272\"] \n  33 [size=\"95477760\", alpha=\"0.06\", expect_size=\"38191104\"] \n  34 [size=\"32143360\", alpha=\"0.08\", expect_size=\"12857344\"] \n  35 [size=\"37678080\", alpha=\"0.19\", expect_size=\"15071232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93347840\", alpha=\"0.17\", expect_size=\"28004352\"] \n  1 -> 22 [size =\"28004352\"]\n  1 -> 23 [size =\"28004352\"]\n  2 [size=\"127098880\", alpha=\"0.09\", expect_size=\"38129664\"] \n  2 -> 20 [size =\"38129664\"]\n  2 -> 23 [size =\"38129664\"]\n  3 [size=\"122053973\", alpha=\"0.01\", expect_size=\"36616192\"] \n  3 -> 19 [size =\"36616192\"]\n  3 -> 22 [size =\"36616192\"]\n  4 [size=\"43711147\", alpha=\"0.09\", expect_size=\"13113344\"] \n  4 -> 15 [size =\"13113344\"]\n  4 -> 16 [size =\"13113344\"]\n  4 -> 19 [size =\"13113344\"]\n  4 -> 20 [size =\"13113344\"]\n  4 -> 21 [size =\"13113344\"]\n  5 [size=\"84681387\", alpha=\"0.05\", expect_size=\"25404416\"] \n  5 -> 15 [size =\"25404416\"]\n  5 -> 17 [size =\"25404416\"]\n  5 -> 20 [size =\"25404416\"]\n  5 -> 21 [size =\"25404416\"]\n  5 -> 21 [size =\"25404416\"]\n  5 -> 23 [size =\"25404416\"]\n  6 [size=\"119405227\", alpha=\"0.20\", expect_size=\"35821568\"] \n  6 -> 17 [size =\"35821568\"]\n  6 -> 19 [size =\"35821568\"]\n  6 -> 23 [size =\"35821568\"]\n  7 [size=\"31836160\", alpha=\"0.13\", expect_size=\"9550848\"] \n  7 -> 17 [size =\"9550848\"]\n  7 -> 18 [size =\"9550848\"]\n  7 -> 23 [size =\"9550848\"]\n  8 [size=\"76817067\", alpha=\"0.06\", expect_size=\"23045120\"] \n  8 -> 16 [size =\"23045120\"]\n  8 -> 20 [size =\"23045120\"]\n  8 -> 22 [size =\"23045120\"]\n  8 -> 23 [size =\"23045120\"]\n  9 [size=\"103482027\", alpha=\"0.00\", expect_size=\"31044608\"] \n  9 -> 15 [size =\"31044608\"]\n  9 -> 20 [size =\"31044608\"]\n  9 -> 22 [size =\"31044608\"]\n  9 -> 23 [size =\"31044608\"]\n  10 [size=\"61364907\", alpha=\"0.04\", expect_size=\"18409472\"] \n  10 -> 19 [size =\"18409472\"]\n  10 -> 21 [size =\"18409472\"]\n  11 [size=\"174165333\", alpha=\"0.14\", expect_size=\"52249600\"] \n  11 -> 17 [size =\"52249600\"]\n  11 -> 21 [size =\"52249600\"]\n  12 [size=\"147961173\", alpha=\"0.17\", expect_size=\"44388352\"] \n  12 -> 15 [size =\"44388352\"]\n  12 -> 16 [size =\"44388352\"]\n  12 -> 20 [size =\"44388352\"]\n  13 [size=\"63815680\", alpha=\"0.09\", expect_size=\"19144704\"] \n  13 -> 15 [size =\"19144704\"]\n  13 -> 16 [size =\"19144704\"]\n  13 -> 19 [size =\"19144704\"]\n  14 [size=\"73639253\", alpha=\"0.18\", expect_size=\"22091776\"] \n  14 -> 15 [size =\"22091776\"]\n  14 -> 16 [size =\"22091776\"]\n  14 -> 17 [size =\"22091776\"]\n  15 [size=\"140898987\", alpha=\"0.18\", expect_size=\"42269696\"] \n  15 -> 25 [size =\"42269696\"]\n  16 [size=\"25954987\", alpha=\"0.01\", expect_size=\"7786496\"] \n  16 -> 26 [size =\"7786496\"]\n  16 -> 34 [size =\"7786496\"]\n  17 [size=\"22855680\", alpha=\"0.13\", expect_size=\"6856704\"] \n  17 -> 25 [size =\"6856704\"]\n  17 -> 29 [size =\"6856704\"]\n  17 -> 30 [size =\"6856704\"]\n  17 -> 31 [size =\"6856704\"]\n  18 [size=\"128180907\", alpha=\"0.11\", expect_size=\"38454272\"] \n  18 -> 25 [size =\"38454272\"]\n  18 -> 26 [size =\"38454272\"]\n  18 -> 29 [size =\"38454272\"]\n  18 -> 32 [size =\"38454272\"]\n  18 -> 34 [size =\"38454272\"]\n  19 [size=\"21630293\", alpha=\"0.05\", expect_size=\"6489088\"] \n  19 -> 25 [size =\"6489088\"]\n  19 -> 26 [size =\"6489088\"]\n  19 -> 30 [size =\"6489088\"]\n  19 -> 32 [size =\"6489088\"]\n  19 -> 34 [size =\"6489088\"]\n  20 [size=\"22456320\", alpha=\"0.17\", expect_size=\"6736896\"] \n  20 -> 24 [size =\"6736896\"]\n  20 -> 26 [size =\"6736896\"]\n  20 -> 30 [size =\"6736896\"]\n  20 -> 32 [size =\"6736896\"]\n  20 -> 33 [size =\"6736896\"]\n  20 -> 34 [size =\"6736896\"]\n  21 [size=\"56948053\", alpha=\"0.18\", expect_size=\"17084416\"] \n  21 -> 24 [size =\"17084416\"]\n  21 -> 26 [size =\"17084416\"]\n  21 -> 28 [size =\"17084416\"]\n  21 -> 29 [size =\"17084416\"]\n  21 -> 30 [size =\"17084416\"]\n  21 -> 32 [size =\"17084416\"]\n  21 -> 33 [size =\"17084416\"]\n  22 [size=\"163498667\", alpha=\"0.13\", expect_size=\"49049600\"] \n  22 -> 27 [size =\"49049600\"]\n  22 -> 28 [size =\"49049600\"]\n  22 -> 33 [size =\"49049600\"]\n  23 [size=\"143373653\", alpha=\"0.01\", expect_size=\"43012096\"] \n  23 -> 24 [size =\"43012096\"]\n  23 -> 28 [size =\"43012096\"]\n  23 -> 30 [size =\"43012096\"]\n  23 -> 33 [size =\"43012096\"]\n  23 -> 35 [size =\"43012096\"]\n  24 [size=\"56780800\", alpha=\"0.13\", expect_size=\"17034240\"] \n  25 [size=\"42472107\", alpha=\"0.13\", expect_size=\"12741632\"] \n  26 [size=\"26668373\", alpha=\"0.06\", expect_size=\"8000512\"] \n  27 [size=\"30737067\", alpha=\"0.01\", expect_size=\"9221120\"] \n  28 [size=\"136611840\", alpha=\"0.04\", expect_size=\"40983552\"] \n  29 [size=\"68184747\", alpha=\"0.17\", expect_size=\"20455424\"] \n  30 [size=\"108185600\", alpha=\"0.16\", expect_size=\"32455680\"] \n  31 [size=\"81087147\", alpha=\"0.15\", expect_size=\"24326144\"] \n  32 [size=\"62757547\", alpha=\"0.11\", expect_size=\"18827264\"] \n  33 [size=\"162819413\", alpha=\"0.12\", expect_size=\"48845824\"] \n  34 [size=\"171281067\", alpha=\"0.01\", expect_size=\"51384320\"] \n  35 [size=\"114377387\", alpha=\"0.05\", expect_size=\"34313216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61882368\", alpha=\"0.11\", expect_size=\"30941184\"] \n  1 -> 2 [size =\"30941184\"]\n  2 [size=\"42319872\", alpha=\"0.08\", expect_size=\"21159936\"] \n  2 -> 3 [size =\"21159936\"]\n  3 [size=\"52318208\", alpha=\"0.08\", expect_size=\"26159104\"] \n  3 -> 4 [size =\"26159104\"]\n  4 [size=\"12181504\", alpha=\"0.15\", expect_size=\"6090752\"] \n  4 -> 5 [size =\"6090752\"]\n  5 [size=\"46880768\", alpha=\"0.06\", expect_size=\"23440384\"] \n  5 -> 6 [size =\"23440384\"]\n  6 [size=\"43767808\", alpha=\"0.01\", expect_size=\"21883904\"] \n  6 -> 7 [size =\"21883904\"]\n  7 [size=\"50704384\", alpha=\"0.08\", expect_size=\"25352192\"] \n  7 -> 8 [size =\"25352192\"]\n  8 [size=\"38957056\", alpha=\"0.18\", expect_size=\"19478528\"] \n  8 -> 9 [size =\"19478528\"]\n  9 [size=\"77176832\", alpha=\"0.09\", expect_size=\"38588416\"] \n  9 -> 10 [size =\"38588416\"]\n  10 [size=\"78340096\", alpha=\"0.07\", expect_size=\"39170048\"] \n  10 -> 11 [size =\"39170048\"]\n  11 [size=\"44648448\", alpha=\"0.10\", expect_size=\"22324224\"] \n  11 -> 12 [size =\"22324224\"]\n  12 [size=\"98607104\", alpha=\"0.05\", expect_size=\"49303552\"] \n  12 -> 13 [size =\"49303552\"]\n  13 [size=\"43669504\", alpha=\"0.18\", expect_size=\"21834752\"] \n  13 -> 14 [size =\"21834752\"]\n  14 [size=\"81577984\", alpha=\"0.20\", expect_size=\"40788992\"] \n  14 -> 15 [size =\"40788992\"]\n  15 [size=\"59461632\", alpha=\"0.08\", expect_size=\"29730816\"] \n  15 -> 16 [size =\"29730816\"]\n  16 [size=\"89767936\", alpha=\"0.19\", expect_size=\"44883968\"] \n  16 -> 17 [size =\"44883968\"]\n  17 [size=\"94132224\", alpha=\"0.08\", expect_size=\"47066112\"] \n  17 -> 18 [size =\"47066112\"]\n  18 [size=\"38746112\", alpha=\"0.03\", expect_size=\"19373056\"] \n  18 -> 19 [size =\"19373056\"]\n  19 [size=\"28104704\", alpha=\"0.01\", expect_size=\"14052352\"] \n  19 -> 20 [size =\"14052352\"]\n  20 [size=\"69779456\", alpha=\"0.14\", expect_size=\"34889728\"] \n  20 -> 21 [size =\"34889728\"]\n  21 [size=\"100593664\", alpha=\"0.17\", expect_size=\"50296832\"] \n  21 -> 22 [size =\"50296832\"]\n  22 [size=\"53028864\", alpha=\"0.08\", expect_size=\"26514432\"] \n  22 -> 23 [size =\"26514432\"]\n  23 [size=\"76861440\", alpha=\"0.07\", expect_size=\"38430720\"] \n  23 -> 24 [size =\"38430720\"]\n  24 [size=\"68212736\", alpha=\"0.06\", expect_size=\"34106368\"] \n  24 -> 25 [size =\"34106368\"]\n  25 [size=\"67287040\", alpha=\"0.13\", expect_size=\"33643520\"] \n  25 -> 26 [size =\"33643520\"]\n  26 [size=\"103854080\", alpha=\"0.07\", expect_size=\"51927040\"] \n  26 -> 27 [size =\"51927040\"]\n  27 [size=\"97294336\", alpha=\"0.10\", expect_size=\"48647168\"] \n  27 -> 28 [size =\"48647168\"]\n  28 [size=\"41564160\", alpha=\"0.19\", expect_size=\"20782080\"] \n  28 -> 29 [size =\"20782080\"]\n  29 [size=\"56551424\", alpha=\"0.02\", expect_size=\"28275712\"] \n  29 -> 30 [size =\"28275712\"]\n  30 [size=\"63535104\", alpha=\"0.19\", expect_size=\"31767552\"] \n  30 -> 31 [size =\"31767552\"]\n  31 [size=\"35317760\", alpha=\"0.03\", expect_size=\"17658880\"] \n  31 -> 32 [size =\"17658880\"]\n  32 [size=\"23296000\", alpha=\"0.07\", expect_size=\"11648000\"] \n  32 -> 33 [size =\"11648000\"]\n  33 [size=\"59303936\", alpha=\"0.17\", expect_size=\"29651968\"] \n  33 -> 34 [size =\"29651968\"]\n  34 [size=\"90802176\", alpha=\"0.02\", expect_size=\"45401088\"] \n  34 -> 35 [size =\"45401088\"]\n  35 [size=\"25116672\", alpha=\"0.18\", expect_size=\"12558336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13293568\", alpha=\"0.09\", expect_size=\"6646784\"] \n  1 -> 2 [size =\"6646784\"]\n  2 [size=\"77338624\", alpha=\"0.11\", expect_size=\"38669312\"] \n  2 -> 3 [size =\"38669312\"]\n  3 [size=\"90112000\", alpha=\"0.15\", expect_size=\"45056000\"] \n  3 -> 4 [size =\"45056000\"]\n  4 [size=\"64743424\", alpha=\"0.20\", expect_size=\"32371712\"] \n  4 -> 5 [size =\"32371712\"]\n  5 [size=\"56608768\", alpha=\"0.13\", expect_size=\"28304384\"] \n  5 -> 6 [size =\"28304384\"]\n  6 [size=\"99448832\", alpha=\"0.15\", expect_size=\"49724416\"] \n  6 -> 7 [size =\"49724416\"]\n  7 [size=\"69574656\", alpha=\"0.16\", expect_size=\"34787328\"] \n  7 -> 8 [size =\"34787328\"]\n  8 [size=\"99297280\", alpha=\"0.07\", expect_size=\"49648640\"] \n  8 -> 9 [size =\"49648640\"]\n  9 [size=\"69478400\", alpha=\"0.05\", expect_size=\"34739200\"] \n  9 -> 10 [size =\"34739200\"]\n  10 [size=\"56850432\", alpha=\"0.08\", expect_size=\"28425216\"] \n  10 -> 11 [size =\"28425216\"]\n  11 [size=\"99948544\", alpha=\"0.10\", expect_size=\"49974272\"] \n  11 -> 12 [size =\"49974272\"]\n  12 [size=\"49727488\", alpha=\"0.12\", expect_size=\"24863744\"] \n  12 -> 13 [size =\"24863744\"]\n  13 [size=\"103239680\", alpha=\"0.01\", expect_size=\"51619840\"] \n  13 -> 14 [size =\"51619840\"]\n  14 [size=\"79976448\", alpha=\"0.18\", expect_size=\"39988224\"] \n  14 -> 15 [size =\"39988224\"]\n  15 [size=\"79476736\", alpha=\"0.08\", expect_size=\"39738368\"] \n  15 -> 16 [size =\"39738368\"]\n  16 [size=\"44365824\", alpha=\"0.05\", expect_size=\"22182912\"] \n  16 -> 17 [size =\"22182912\"]\n  17 [size=\"22036480\", alpha=\"0.12\", expect_size=\"11018240\"] \n  17 -> 18 [size =\"11018240\"]\n  18 [size=\"99065856\", alpha=\"0.18\", expect_size=\"49532928\"] \n  18 -> 19 [size =\"49532928\"]\n  19 [size=\"39942144\", alpha=\"0.06\", expect_size=\"19971072\"] \n  19 -> 20 [size =\"19971072\"]\n  20 [size=\"65601536\", alpha=\"0.12\", expect_size=\"32800768\"] \n  20 -> 21 [size =\"32800768\"]\n  21 [size=\"104110080\", alpha=\"0.18\", expect_size=\"52055040\"] \n  21 -> 22 [size =\"52055040\"]\n  22 [size=\"56014848\", alpha=\"0.19\", expect_size=\"28007424\"] \n  22 -> 23 [size =\"28007424\"]\n  23 [size=\"15951872\", alpha=\"0.16\", expect_size=\"7975936\"] \n  23 -> 24 [size =\"7975936\"]\n  24 [size=\"20174848\", alpha=\"0.05\", expect_size=\"10087424\"] \n  24 -> 25 [size =\"10087424\"]\n  25 [size=\"12077056\", alpha=\"0.04\", expect_size=\"6038528\"] \n  25 -> 26 [size =\"6038528\"]\n  26 [size=\"49016832\", alpha=\"0.02\", expect_size=\"24508416\"] \n  26 -> 27 [size =\"24508416\"]\n  27 [size=\"70832128\", alpha=\"0.12\", expect_size=\"35416064\"] \n  27 -> 28 [size =\"35416064\"]\n  28 [size=\"35000320\", alpha=\"0.01\", expect_size=\"17500160\"] \n  28 -> 29 [size =\"17500160\"]\n  29 [size=\"26460160\", alpha=\"0.02\", expect_size=\"13230080\"] \n  29 -> 30 [size =\"13230080\"]\n  30 [size=\"55439360\", alpha=\"0.14\", expect_size=\"27719680\"] \n  30 -> 31 [size =\"27719680\"]\n  31 [size=\"17569792\", alpha=\"0.04\", expect_size=\"8784896\"] \n  31 -> 32 [size =\"8784896\"]\n  32 [size=\"104400896\", alpha=\"0.02\", expect_size=\"52200448\"] \n  32 -> 33 [size =\"52200448\"]\n  33 [size=\"99676160\", alpha=\"0.01\", expect_size=\"49838080\"] \n  33 -> 34 [size =\"49838080\"]\n  34 [size=\"83019776\", alpha=\"0.13\", expect_size=\"41509888\"] \n  34 -> 35 [size =\"41509888\"]\n  35 [size=\"14317568\", alpha=\"0.01\", expect_size=\"7158784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149876053\", alpha=\"0.00\", expect_size=\"44962816\"] \n  1 -> 33 [size =\"44962816\"]\n  2 [size=\"78243840\", alpha=\"0.05\", expect_size=\"23473152\"] \n  2 -> 26 [size =\"23473152\"]\n  2 -> 28 [size =\"23473152\"]\n  2 -> 32 [size =\"23473152\"]\n  2 -> 33 [size =\"23473152\"]\n  2 -> 35 [size =\"23473152\"]\n  3 [size=\"113732267\", alpha=\"0.13\", expect_size=\"34119680\"] \n  3 -> 27 [size =\"34119680\"]\n  3 -> 31 [size =\"34119680\"]\n  3 -> 33 [size =\"34119680\"]\n  3 -> 34 [size =\"34119680\"]\n  3 -> 35 [size =\"34119680\"]\n  4 [size=\"49848320\", alpha=\"0.07\", expect_size=\"14954496\"] \n  4 -> 26 [size =\"14954496\"]\n  4 -> 27 [size =\"14954496\"]\n  4 -> 29 [size =\"14954496\"]\n  4 -> 34 [size =\"14954496\"]\n  4 -> 35 [size =\"14954496\"]\n  5 [size=\"155999573\", alpha=\"0.05\", expect_size=\"46799872\"] \n  5 -> 26 [size =\"46799872\"]\n  5 -> 29 [size =\"46799872\"]\n  5 -> 32 [size =\"46799872\"]\n  5 -> 33 [size =\"46799872\"]\n  6 [size=\"38393173\", alpha=\"0.05\", expect_size=\"11517952\"] \n  6 -> 26 [size =\"11517952\"]\n  6 -> 28 [size =\"11517952\"]\n  6 -> 32 [size =\"11517952\"]\n  6 -> 33 [size =\"11517952\"]\n  6 -> 35 [size =\"11517952\"]\n  7 [size=\"17954133\", alpha=\"0.12\", expect_size=\"5386240\"] \n  7 -> 26 [size =\"5386240\"]\n  7 -> 28 [size =\"5386240\"]\n  7 -> 32 [size =\"5386240\"]\n  7 -> 33 [size =\"5386240\"]\n  8 [size=\"62518613\", alpha=\"0.15\", expect_size=\"18755584\"] \n  8 -> 26 [size =\"18755584\"]\n  8 -> 29 [size =\"18755584\"]\n  8 -> 32 [size =\"18755584\"]\n  8 -> 33 [size =\"18755584\"]\n  8 -> 35 [size =\"18755584\"]\n  9 [size=\"66689707\", alpha=\"0.17\", expect_size=\"20006912\"] \n  9 -> 26 [size =\"20006912\"]\n  9 -> 33 [size =\"20006912\"]\n  9 -> 35 [size =\"20006912\"]\n  10 [size=\"53271893\", alpha=\"0.15\", expect_size=\"15981568\"] \n  10 -> 26 [size =\"15981568\"]\n  10 -> 27 [size =\"15981568\"]\n  10 -> 32 [size =\"15981568\"]\n  10 -> 33 [size =\"15981568\"]\n  10 -> 34 [size =\"15981568\"]\n  11 [size=\"149152427\", alpha=\"0.20\", expect_size=\"44745728\"] \n  11 -> 26 [size =\"44745728\"]\n  11 -> 32 [size =\"44745728\"]\n  11 -> 33 [size =\"44745728\"]\n  11 -> 34 [size =\"44745728\"]\n  11 -> 34 [size =\"44745728\"]\n  12 [size=\"149302613\", alpha=\"0.04\", expect_size=\"44790784\"] \n  12 -> 26 [size =\"44790784\"]\n  12 -> 28 [size =\"44790784\"]\n  12 -> 34 [size =\"44790784\"]\n  12 -> 34 [size =\"44790784\"]\n  13 [size=\"33730560\", alpha=\"0.09\", expect_size=\"10119168\"] \n  13 -> 28 [size =\"10119168\"]\n  13 -> 28 [size =\"10119168\"]\n  13 -> 31 [size =\"10119168\"]\n  13 -> 33 [size =\"10119168\"]\n  14 [size=\"135963307\", alpha=\"0.09\", expect_size=\"40788992\"] \n  14 -> 27 [size =\"40788992\"]\n  14 -> 28 [size =\"40788992\"]\n  14 -> 31 [size =\"40788992\"]\n  14 -> 33 [size =\"40788992\"]\n  14 -> 34 [size =\"40788992\"]\n  14 -> 35 [size =\"40788992\"]\n  15 [size=\"30494720\", alpha=\"0.02\", expect_size=\"9148416\"] \n  15 -> 31 [size =\"9148416\"]\n  15 -> 32 [size =\"9148416\"]\n  15 -> 33 [size =\"9148416\"]\n  15 -> 34 [size =\"9148416\"]\n  15 -> 35 [size =\"9148416\"]\n  16 [size=\"73058987\", alpha=\"0.03\", expect_size=\"21917696\"] \n  16 -> 30 [size =\"21917696\"]\n  16 -> 31 [size =\"21917696\"]\n  16 -> 32 [size =\"21917696\"]\n  16 -> 34 [size =\"21917696\"]\n  16 -> 35 [size =\"21917696\"]\n  17 [size=\"115510613\", alpha=\"0.07\", expect_size=\"34653184\"] \n  17 -> 28 [size =\"34653184\"]\n  17 -> 30 [size =\"34653184\"]\n  17 -> 31 [size =\"34653184\"]\n  17 -> 32 [size =\"34653184\"]\n  18 [size=\"49418240\", alpha=\"0.07\", expect_size=\"14825472\"] \n  18 -> 26 [size =\"14825472\"]\n  18 -> 28 [size =\"14825472\"]\n  18 -> 31 [size =\"14825472\"]\n  18 -> 32 [size =\"14825472\"]\n  18 -> 34 [size =\"14825472\"]\n  18 -> 35 [size =\"14825472\"]\n  19 [size=\"169338880\", alpha=\"0.16\", expect_size=\"50801664\"] \n  19 -> 26 [size =\"50801664\"]\n  19 -> 28 [size =\"50801664\"]\n  19 -> 31 [size =\"50801664\"]\n  19 -> 32 [size =\"50801664\"]\n  20 [size=\"146660693\", alpha=\"0.09\", expect_size=\"43998208\"] \n  20 -> 26 [size =\"43998208\"]\n  20 -> 28 [size =\"43998208\"]\n  20 -> 32 [size =\"43998208\"]\n  21 [size=\"107690667\", alpha=\"0.18\", expect_size=\"32307200\"] \n  21 -> 26 [size =\"32307200\"]\n  21 -> 28 [size =\"32307200\"]\n  21 -> 32 [size =\"32307200\"]\n  22 [size=\"104553813\", alpha=\"0.15\", expect_size=\"31366144\"] \n  22 -> 26 [size =\"31366144\"]\n  22 -> 28 [size =\"31366144\"]\n  22 -> 29 [size =\"31366144\"]\n  22 -> 32 [size =\"31366144\"]\n  22 -> 33 [size =\"31366144\"]\n  22 -> 35 [size =\"31366144\"]\n  23 [size=\"137574400\", alpha=\"0.04\", expect_size=\"41272320\"] \n  23 -> 27 [size =\"41272320\"]\n  23 -> 29 [size =\"41272320\"]\n  23 -> 33 [size =\"41272320\"]\n  23 -> 34 [size =\"41272320\"]\n  23 -> 35 [size =\"41272320\"]\n  23 -> 35 [size =\"41272320\"]\n  24 [size=\"54947840\", alpha=\"0.18\", expect_size=\"16484352\"] \n  24 -> 26 [size =\"16484352\"]\n  24 -> 27 [size =\"16484352\"]\n  24 -> 28 [size =\"16484352\"]\n  24 -> 33 [size =\"16484352\"]\n  25 [size=\"127221760\", alpha=\"0.09\", expect_size=\"38166528\"] \n  25 -> 26 [size =\"38166528\"]\n  25 -> 27 [size =\"38166528\"]\n  25 -> 33 [size =\"38166528\"]\n  25 -> 33 [size =\"38166528\"]\n  25 -> 35 [size =\"38166528\"]\n  26 [size=\"145336320\", alpha=\"0.02\", expect_size=\"43600896\"] \n  27 [size=\"165703680\", alpha=\"0.16\", expect_size=\"49711104\"] \n  28 [size=\"66211840\", alpha=\"0.15\", expect_size=\"19863552\"] \n  29 [size=\"124852907\", alpha=\"0.01\", expect_size=\"37455872\"] \n  30 [size=\"95535787\", alpha=\"0.11\", expect_size=\"28660736\"] \n  31 [size=\"164048213\", alpha=\"0.18\", expect_size=\"49214464\"] \n  32 [size=\"148220587\", alpha=\"0.02\", expect_size=\"44466176\"] \n  33 [size=\"108823893\", alpha=\"0.08\", expect_size=\"32647168\"] \n  34 [size=\"142114133\", alpha=\"0.09\", expect_size=\"42634240\"] \n  35 [size=\"123183787\", alpha=\"0.11\", expect_size=\"36955136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92827648\", alpha=\"0.19\", expect_size=\"46413824\"] \n  1 -> 11 [size =\"46413824\"]\n  1 -> 14 [size =\"46413824\"]\n  1 -> 15 [size =\"46413824\"]\n  1 -> 20 [size =\"46413824\"]\n  2 [size=\"91596800\", alpha=\"0.19\", expect_size=\"45798400\"] \n  2 -> 11 [size =\"45798400\"]\n  2 -> 14 [size =\"45798400\"]\n  2 -> 18 [size =\"45798400\"]\n  3 [size=\"26904576\", alpha=\"0.06\", expect_size=\"13452288\"] \n  3 -> 11 [size =\"13452288\"]\n  3 -> 14 [size =\"13452288\"]\n  3 -> 16 [size =\"13452288\"]\n  3 -> 17 [size =\"13452288\"]\n  3 -> 20 [size =\"13452288\"]\n  4 [size=\"99104768\", alpha=\"0.02\", expect_size=\"49552384\"] \n  4 -> 10 [size =\"49552384\"]\n  4 -> 13 [size =\"49552384\"]\n  4 -> 17 [size =\"49552384\"]\n  5 [size=\"23791616\", alpha=\"0.08\", expect_size=\"11895808\"] \n  5 -> 11 [size =\"11895808\"]\n  5 -> 12 [size =\"11895808\"]\n  5 -> 20 [size =\"11895808\"]\n  6 [size=\"67301376\", alpha=\"0.17\", expect_size=\"33650688\"] \n  6 -> 11 [size =\"33650688\"]\n  6 -> 17 [size =\"33650688\"]\n  6 -> 20 [size =\"33650688\"]\n  7 [size=\"104421376\", alpha=\"0.09\", expect_size=\"52210688\"] \n  7 -> 10 [size =\"52210688\"]\n  7 -> 12 [size =\"52210688\"]\n  7 -> 13 [size =\"52210688\"]\n  7 -> 15 [size =\"52210688\"]\n  7 -> 16 [size =\"52210688\"]\n  7 -> 17 [size =\"52210688\"]\n  7 -> 18 [size =\"52210688\"]\n  7 -> 19 [size =\"52210688\"]\n  7 -> 20 [size =\"52210688\"]\n  8 [size=\"32444416\", alpha=\"0.17\", expect_size=\"16222208\"] \n  8 -> 13 [size =\"16222208\"]\n  8 -> 14 [size =\"16222208\"]\n  8 -> 15 [size =\"16222208\"]\n  8 -> 18 [size =\"16222208\"]\n  8 -> 19 [size =\"16222208\"]\n  8 -> 20 [size =\"16222208\"]\n  9 [size=\"15616000\", alpha=\"0.07\", expect_size=\"7808000\"] \n  9 -> 11 [size =\"7808000\"]\n  9 -> 12 [size =\"7808000\"]\n  9 -> 15 [size =\"7808000\"]\n  9 -> 18 [size =\"7808000\"]\n  9 -> 20 [size =\"7808000\"]\n  10 [size=\"26490880\", alpha=\"0.16\", expect_size=\"13245440\"] \n  10 -> 21 [size =\"13245440\"]\n  10 -> 22 [size =\"13245440\"]\n  10 -> 25 [size =\"13245440\"]\n  10 -> 29 [size =\"13245440\"]\n  10 -> 31 [size =\"13245440\"]\n  11 [size=\"14254080\", alpha=\"0.13\", expect_size=\"7127040\"] \n  11 -> 22 [size =\"7127040\"]\n  11 -> 22 [size =\"7127040\"]\n  11 -> 25 [size =\"7127040\"]\n  11 -> 27 [size =\"7127040\"]\n  11 -> 28 [size =\"7127040\"]\n  11 -> 31 [size =\"7127040\"]\n  12 [size=\"104333312\", alpha=\"0.07\", expect_size=\"52166656\"] \n  12 -> 21 [size =\"52166656\"]\n  12 -> 25 [size =\"52166656\"]\n  12 -> 27 [size =\"52166656\"]\n  12 -> 27 [size =\"52166656\"]\n  12 -> 31 [size =\"52166656\"]\n  13 [size=\"98385920\", alpha=\"0.08\", expect_size=\"49192960\"] \n  13 -> 21 [size =\"49192960\"]\n  13 -> 23 [size =\"49192960\"]\n  13 -> 25 [size =\"49192960\"]\n  13 -> 26 [size =\"49192960\"]\n  13 -> 29 [size =\"49192960\"]\n  13 -> 31 [size =\"49192960\"]\n  14 [size=\"31449088\", alpha=\"0.05\", expect_size=\"15724544\"] \n  14 -> 21 [size =\"15724544\"]\n  14 -> 24 [size =\"15724544\"]\n  14 -> 25 [size =\"15724544\"]\n  14 -> 26 [size =\"15724544\"]\n  14 -> 27 [size =\"15724544\"]\n  14 -> 29 [size =\"15724544\"]\n  14 -> 31 [size =\"15724544\"]\n  15 [size=\"38868992\", alpha=\"0.09\", expect_size=\"19434496\"] \n  15 -> 21 [size =\"19434496\"]\n  15 -> 26 [size =\"19434496\"]\n  15 -> 28 [size =\"19434496\"]\n  15 -> 29 [size =\"19434496\"]\n  15 -> 30 [size =\"19434496\"]\n  15 -> 31 [size =\"19434496\"]\n  16 [size=\"77090816\", alpha=\"0.12\", expect_size=\"38545408\"] \n  16 -> 22 [size =\"38545408\"]\n  16 -> 26 [size =\"38545408\"]\n  16 -> 27 [size =\"38545408\"]\n  16 -> 28 [size =\"38545408\"]\n  16 -> 29 [size =\"38545408\"]\n  16 -> 30 [size =\"38545408\"]\n  17 [size=\"63062016\", alpha=\"0.02\", expect_size=\"31531008\"] \n  17 -> 21 [size =\"31531008\"]\n  17 -> 22 [size =\"31531008\"]\n  17 -> 24 [size =\"31531008\"]\n  17 -> 25 [size =\"31531008\"]\n  17 -> 28 [size =\"31531008\"]\n  17 -> 29 [size =\"31531008\"]\n  17 -> 30 [size =\"31531008\"]\n  18 [size=\"13070336\", alpha=\"0.17\", expect_size=\"6535168\"] \n  18 -> 25 [size =\"6535168\"]\n  18 -> 28 [size =\"6535168\"]\n  18 -> 30 [size =\"6535168\"]\n  19 [size=\"92194816\", alpha=\"0.15\", expect_size=\"46097408\"] \n  19 -> 21 [size =\"46097408\"]\n  19 -> 22 [size =\"46097408\"]\n  19 -> 25 [size =\"46097408\"]\n  19 -> 26 [size =\"46097408\"]\n  19 -> 27 [size =\"46097408\"]\n  19 -> 28 [size =\"46097408\"]\n  19 -> 30 [size =\"46097408\"]\n  20 [size=\"31967232\", alpha=\"0.01\", expect_size=\"15983616\"] \n  20 -> 21 [size =\"15983616\"]\n  20 -> 22 [size =\"15983616\"]\n  20 -> 27 [size =\"15983616\"]\n  20 -> 28 [size =\"15983616\"]\n  20 -> 29 [size =\"15983616\"]\n  20 -> 30 [size =\"15983616\"]\n  21 [size=\"14061568\", alpha=\"0.04\", expect_size=\"7030784\"] \n  21 -> 32 [size =\"7030784\"]\n  21 -> 35 [size =\"7030784\"]\n  22 [size=\"74459136\", alpha=\"0.05\", expect_size=\"37229568\"] \n  22 -> 32 [size =\"37229568\"]\n  23 [size=\"14551040\", alpha=\"0.09\", expect_size=\"7275520\"] \n  23 -> 33 [size =\"7275520\"]\n  23 -> 34 [size =\"7275520\"]\n  24 [size=\"52078592\", alpha=\"0.12\", expect_size=\"26039296\"] \n  24 -> 33 [size =\"26039296\"]\n  24 -> 34 [size =\"26039296\"]\n  25 [size=\"77109248\", alpha=\"0.18\", expect_size=\"38554624\"] \n  25 -> 33 [size =\"38554624\"]\n  25 -> 34 [size =\"38554624\"]\n  26 [size=\"23453696\", alpha=\"0.16\", expect_size=\"11726848\"] \n  26 -> 32 [size =\"11726848\"]\n  26 -> 33 [size =\"11726848\"]\n  26 -> 34 [size =\"11726848\"]\n  27 [size=\"78673920\", alpha=\"0.14\", expect_size=\"39336960\"] \n  27 -> 33 [size =\"39336960\"]\n  27 -> 34 [size =\"39336960\"]\n  27 -> 34 [size =\"39336960\"]\n  28 [size=\"90120192\", alpha=\"0.16\", expect_size=\"45060096\"] \n  29 [size=\"77211648\", alpha=\"0.20\", expect_size=\"38605824\"] \n  29 -> 33 [size =\"38605824\"]\n  30 [size=\"51763200\", alpha=\"0.07\", expect_size=\"25881600\"] \n  31 [size=\"55171072\", alpha=\"0.14\", expect_size=\"27585536\"] \n  31 -> 34 [size =\"27585536\"]\n  32 [size=\"75409408\", alpha=\"0.02\", expect_size=\"37704704\"] \n  33 [size=\"99217408\", alpha=\"0.08\", expect_size=\"49608704\"] \n  34 [size=\"48642048\", alpha=\"0.19\", expect_size=\"24321024\"] \n  35 [size=\"12306432\", alpha=\"0.16\", expect_size=\"6153216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80484352\", alpha=\"0.04\", expect_size=\"40242176\"] \n  1 -> 13 [size =\"40242176\"]\n  1 -> 14 [size =\"40242176\"]\n  1 -> 15 [size =\"40242176\"]\n  1 -> 16 [size =\"40242176\"]\n  1 -> 18 [size =\"40242176\"]\n  1 -> 23 [size =\"40242176\"]\n  2 [size=\"53057536\", alpha=\"0.02\", expect_size=\"26528768\"] \n  2 -> 15 [size =\"26528768\"]\n  2 -> 23 [size =\"26528768\"]\n  3 [size=\"28895232\", alpha=\"0.12\", expect_size=\"14447616\"] \n  3 -> 14 [size =\"14447616\"]\n  3 -> 15 [size =\"14447616\"]\n  3 -> 16 [size =\"14447616\"]\n  3 -> 22 [size =\"14447616\"]\n  4 [size=\"14780416\", alpha=\"0.00\", expect_size=\"7390208\"] \n  4 -> 14 [size =\"7390208\"]\n  4 -> 17 [size =\"7390208\"]\n  4 -> 18 [size =\"7390208\"]\n  4 -> 22 [size =\"7390208\"]\n  5 [size=\"58439680\", alpha=\"0.06\", expect_size=\"29219840\"] \n  5 -> 14 [size =\"29219840\"]\n  5 -> 17 [size =\"29219840\"]\n  5 -> 22 [size =\"29219840\"]\n  5 -> 23 [size =\"29219840\"]\n  6 [size=\"98342912\", alpha=\"0.09\", expect_size=\"49171456\"] \n  6 -> 13 [size =\"49171456\"]\n  6 -> 17 [size =\"49171456\"]\n  6 -> 23 [size =\"49171456\"]\n  7 [size=\"48977920\", alpha=\"0.09\", expect_size=\"24488960\"] \n  7 -> 13 [size =\"24488960\"]\n  7 -> 16 [size =\"24488960\"]\n  7 -> 17 [size =\"24488960\"]\n  7 -> 21 [size =\"24488960\"]\n  7 -> 22 [size =\"24488960\"]\n  7 -> 23 [size =\"24488960\"]\n  8 [size=\"76568576\", alpha=\"0.15\", expect_size=\"38284288\"] \n  8 -> 14 [size =\"38284288\"]\n  8 -> 16 [size =\"38284288\"]\n  8 -> 20 [size =\"38284288\"]\n  8 -> 21 [size =\"38284288\"]\n  8 -> 22 [size =\"38284288\"]\n  8 -> 23 [size =\"38284288\"]\n  9 [size=\"34162688\", alpha=\"0.12\", expect_size=\"17081344\"] \n  9 -> 13 [size =\"17081344\"]\n  9 -> 14 [size =\"17081344\"]\n  9 -> 16 [size =\"17081344\"]\n  9 -> 20 [size =\"17081344\"]\n  9 -> 21 [size =\"17081344\"]\n  9 -> 23 [size =\"17081344\"]\n  10 [size=\"18595840\", alpha=\"0.13\", expect_size=\"9297920\"] \n  10 -> 20 [size =\"9297920\"]\n  11 [size=\"67129344\", alpha=\"0.09\", expect_size=\"33564672\"] \n  11 -> 17 [size =\"33564672\"]\n  11 -> 19 [size =\"33564672\"]\n  12 [size=\"84215808\", alpha=\"0.06\", expect_size=\"42107904\"] \n  12 -> 17 [size =\"42107904\"]\n  12 -> 18 [size =\"42107904\"]\n  12 -> 19 [size =\"42107904\"]\n  13 [size=\"94760960\", alpha=\"0.13\", expect_size=\"47380480\"] \n  13 -> 26 [size =\"47380480\"]\n  13 -> 30 [size =\"47380480\"]\n  13 -> 33 [size =\"47380480\"]\n  14 [size=\"56991744\", alpha=\"0.10\", expect_size=\"28495872\"] \n  14 -> 25 [size =\"28495872\"]\n  14 -> 26 [size =\"28495872\"]\n  14 -> 31 [size =\"28495872\"]\n  14 -> 32 [size =\"28495872\"]\n  14 -> 33 [size =\"28495872\"]\n  15 [size=\"57511936\", alpha=\"0.14\", expect_size=\"28755968\"] \n  15 -> 25 [size =\"28755968\"]\n  15 -> 26 [size =\"28755968\"]\n  15 -> 28 [size =\"28755968\"]\n  15 -> 30 [size =\"28755968\"]\n  15 -> 33 [size =\"28755968\"]\n  16 [size=\"85872640\", alpha=\"0.10\", expect_size=\"42936320\"] \n  16 -> 27 [size =\"42936320\"]\n  16 -> 28 [size =\"42936320\"]\n  17 [size=\"35893248\", alpha=\"0.15\", expect_size=\"17946624\"] \n  17 -> 25 [size =\"17946624\"]\n  17 -> 27 [size =\"17946624\"]\n  17 -> 28 [size =\"17946624\"]\n  17 -> 32 [size =\"17946624\"]\n  18 [size=\"77588480\", alpha=\"0.19\", expect_size=\"38794240\"] \n  18 -> 24 [size =\"38794240\"]\n  18 -> 30 [size =\"38794240\"]\n  18 -> 33 [size =\"38794240\"]\n  19 [size=\"53393408\", alpha=\"0.19\", expect_size=\"26696704\"] \n  19 -> 27 [size =\"26696704\"]\n  19 -> 30 [size =\"26696704\"]\n  20 [size=\"16599040\", alpha=\"0.04\", expect_size=\"8299520\"] \n  20 -> 24 [size =\"8299520\"]\n  20 -> 26 [size =\"8299520\"]\n  20 -> 30 [size =\"8299520\"]\n  20 -> 31 [size =\"8299520\"]\n  20 -> 33 [size =\"8299520\"]\n  21 [size=\"79450112\", alpha=\"0.04\", expect_size=\"39725056\"] \n  21 -> 25 [size =\"39725056\"]\n  21 -> 29 [size =\"39725056\"]\n  21 -> 32 [size =\"39725056\"]\n  22 [size=\"26574848\", alpha=\"0.13\", expect_size=\"13287424\"] \n  22 -> 27 [size =\"13287424\"]\n  22 -> 29 [size =\"13287424\"]\n  22 -> 30 [size =\"13287424\"]\n  23 [size=\"52850688\", alpha=\"0.06\", expect_size=\"26425344\"] \n  23 -> 25 [size =\"26425344\"]\n  23 -> 26 [size =\"26425344\"]\n  23 -> 27 [size =\"26425344\"]\n  23 -> 29 [size =\"26425344\"]\n  23 -> 30 [size =\"26425344\"]\n  24 [size=\"18630656\", alpha=\"0.00\", expect_size=\"9315328\"] \n  24 -> 35 [size =\"9315328\"]\n  25 [size=\"64978944\", alpha=\"0.05\", expect_size=\"32489472\"] \n  26 [size=\"35635200\", alpha=\"0.07\", expect_size=\"17817600\"] \n  26 -> 34 [size =\"17817600\"]\n  27 [size=\"81967104\", alpha=\"0.18\", expect_size=\"40983552\"] \n  28 [size=\"60561408\", alpha=\"0.03\", expect_size=\"30280704\"] \n  29 [size=\"54796288\", alpha=\"0.13\", expect_size=\"27398144\"] \n  30 [size=\"49006592\", alpha=\"0.05\", expect_size=\"24503296\"] \n  31 [size=\"68259840\", alpha=\"0.08\", expect_size=\"34129920\"] \n  32 [size=\"88182784\", alpha=\"0.08\", expect_size=\"44091392\"] \n  33 [size=\"56975360\", alpha=\"0.05\", expect_size=\"28487680\"] \n  33 -> 35 [size =\"28487680\"]\n  34 [size=\"87420928\", alpha=\"0.12\", expect_size=\"43710464\"] \n  35 [size=\"89444352\", alpha=\"0.09\", expect_size=\"44722176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107842560\", alpha=\"0.08\", expect_size=\"43137024\"] \n  1 -> 3 [size =\"43137024\"]\n  2 [size=\"30312960\", alpha=\"0.02\", expect_size=\"12125184\"] \n  3 [size=\"121612800\", alpha=\"0.16\", expect_size=\"48645120\"] \n  3 -> 4 [size =\"48645120\"]\n  3 -> 5 [size =\"48645120\"]\n  4 [size=\"68285440\", alpha=\"0.10\", expect_size=\"27314176\"] \n  4 -> 6 [size =\"27314176\"]\n  5 [size=\"85959680\", alpha=\"0.14\", expect_size=\"34383872\"] \n  6 [size=\"14883840\", alpha=\"0.03\", expect_size=\"5953536\"] \n  6 -> 7 [size =\"5953536\"]\n  7 [size=\"106237440\", alpha=\"0.16\", expect_size=\"42494976\"] \n  7 -> 8 [size =\"42494976\"]\n  8 [size=\"93793280\", alpha=\"0.13\", expect_size=\"37517312\"] \n  8 -> 9 [size =\"37517312\"]\n  9 [size=\"83822080\", alpha=\"0.07\", expect_size=\"33528832\"] \n  9 -> 10 [size =\"33528832\"]\n  9 -> 11 [size =\"33528832\"]\n  10 [size=\"45611520\", alpha=\"0.06\", expect_size=\"18244608\"] \n  10 -> 12 [size =\"18244608\"]\n  11 [size=\"53427200\", alpha=\"0.17\", expect_size=\"21370880\"] \n  12 [size=\"99002880\", alpha=\"0.08\", expect_size=\"39601152\"] \n  12 -> 13 [size =\"39601152\"]\n  12 -> 14 [size =\"39601152\"]\n  13 [size=\"112883200\", alpha=\"0.00\", expect_size=\"45153280\"] \n  13 -> 16 [size =\"45153280\"]\n  14 [size=\"91947520\", alpha=\"0.15\", expect_size=\"36779008\"] \n  14 -> 15 [size =\"36779008\"]\n  15 [size=\"30684160\", alpha=\"0.11\", expect_size=\"12273664\"] \n  15 -> 18 [size =\"12273664\"]\n  16 [size=\"112384000\", alpha=\"0.18\", expect_size=\"44953600\"] \n  16 -> 17 [size =\"44953600\"]\n  17 [size=\"128706560\", alpha=\"0.19\", expect_size=\"51482624\"] \n  17 -> 19 [size =\"51482624\"]\n  18 [size=\"107087360\", alpha=\"0.03\", expect_size=\"42834944\"] \n  18 -> 20 [size =\"42834944\"]\n  19 [size=\"65643520\", alpha=\"0.05\", expect_size=\"26257408\"] \n  19 -> 21 [size =\"26257408\"]\n  20 [size=\"109217280\", alpha=\"0.11\", expect_size=\"43686912\"] \n  21 [size=\"27758080\", alpha=\"0.13\", expect_size=\"11103232\"] \n  21 -> 22 [size =\"11103232\"]\n  21 -> 23 [size =\"11103232\"]\n  22 [size=\"125224960\", alpha=\"0.19\", expect_size=\"50089984\"] \n  23 [size=\"54750720\", alpha=\"0.02\", expect_size=\"21900288\"] \n  23 -> 24 [size =\"21900288\"]\n  23 -> 25 [size =\"21900288\"]\n  24 [size=\"57034240\", alpha=\"0.15\", expect_size=\"22813696\"] \n  24 -> 27 [size =\"22813696\"]\n  25 [size=\"24691200\", alpha=\"0.01\", expect_size=\"9876480\"] \n  25 -> 26 [size =\"9876480\"]\n  26 [size=\"88332800\", alpha=\"0.06\", expect_size=\"35333120\"] \n  27 [size=\"75468800\", alpha=\"0.08\", expect_size=\"30187520\"] \n  27 -> 28 [size =\"30187520\"]\n  27 -> 29 [size =\"30187520\"]\n  28 [size=\"69839360\", alpha=\"0.03\", expect_size=\"27935744\"] \n  29 [size=\"88396800\", alpha=\"0.10\", expect_size=\"35358720\"] \n  29 -> 30 [size =\"35358720\"]\n  29 -> 31 [size =\"35358720\"]\n  30 [size=\"115184640\", alpha=\"0.03\", expect_size=\"46073856\"] \n  30 -> 32 [size =\"46073856\"]\n  31 [size=\"61286400\", alpha=\"0.02\", expect_size=\"24514560\"] \n  32 [size=\"21445120\", alpha=\"0.16\", expect_size=\"8578048\"] \n  32 -> 33 [size =\"8578048\"]\n  32 -> 34 [size =\"8578048\"]\n  33 [size=\"130823680\", alpha=\"0.07\", expect_size=\"52329472\"] \n  34 [size=\"26076160\", alpha=\"0.12\", expect_size=\"10430464\"] \n  34 -> 35 [size =\"10430464\"]\n  35 [size=\"116272640\", alpha=\"0.19\", expect_size=\"46509056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24317952\", alpha=\"0.16\", expect_size=\"12158976\"] \n  1 -> 2 [size =\"12158976\"]\n  2 [size=\"83802112\", alpha=\"0.05\", expect_size=\"41901056\"] \n  2 -> 3 [size =\"41901056\"]\n  3 [size=\"11307008\", alpha=\"0.09\", expect_size=\"5653504\"] \n  3 -> 4 [size =\"5653504\"]\n  4 [size=\"82192384\", alpha=\"0.16\", expect_size=\"41096192\"] \n  4 -> 5 [size =\"41096192\"]\n  5 [size=\"104155136\", alpha=\"0.07\", expect_size=\"52077568\"] \n  5 -> 6 [size =\"52077568\"]\n  6 [size=\"16953344\", alpha=\"0.01\", expect_size=\"8476672\"] \n  6 -> 7 [size =\"8476672\"]\n  7 [size=\"84541440\", alpha=\"0.08\", expect_size=\"42270720\"] \n  7 -> 8 [size =\"42270720\"]\n  8 [size=\"95272960\", alpha=\"0.18\", expect_size=\"47636480\"] \n  8 -> 9 [size =\"47636480\"]\n  9 [size=\"59058176\", alpha=\"0.20\", expect_size=\"29529088\"] \n  9 -> 10 [size =\"29529088\"]\n  10 [size=\"48058368\", alpha=\"0.16\", expect_size=\"24029184\"] \n  10 -> 11 [size =\"24029184\"]\n  11 [size=\"64710656\", alpha=\"0.06\", expect_size=\"32355328\"] \n  11 -> 12 [size =\"32355328\"]\n  12 [size=\"45793280\", alpha=\"0.17\", expect_size=\"22896640\"] \n  12 -> 13 [size =\"22896640\"]\n  13 [size=\"69148672\", alpha=\"0.18\", expect_size=\"34574336\"] \n  13 -> 14 [size =\"34574336\"]\n  14 [size=\"17201152\", alpha=\"0.16\", expect_size=\"8600576\"] \n  14 -> 15 [size =\"8600576\"]\n  15 [size=\"91764736\", alpha=\"0.08\", expect_size=\"45882368\"] \n  15 -> 16 [size =\"45882368\"]\n  16 [size=\"31322112\", alpha=\"0.02\", expect_size=\"15661056\"] \n  16 -> 17 [size =\"15661056\"]\n  17 [size=\"35317760\", alpha=\"0.12\", expect_size=\"17658880\"] \n  17 -> 18 [size =\"17658880\"]\n  18 [size=\"72812544\", alpha=\"0.01\", expect_size=\"36406272\"] \n  18 -> 19 [size =\"36406272\"]\n  19 [size=\"64974848\", alpha=\"0.06\", expect_size=\"32487424\"] \n  19 -> 20 [size =\"32487424\"]\n  20 [size=\"63481856\", alpha=\"0.14\", expect_size=\"31740928\"] \n  20 -> 21 [size =\"31740928\"]\n  21 [size=\"46184448\", alpha=\"0.05\", expect_size=\"23092224\"] \n  21 -> 22 [size =\"23092224\"]\n  22 [size=\"74960896\", alpha=\"0.12\", expect_size=\"37480448\"] \n  22 -> 23 [size =\"37480448\"]\n  23 [size=\"61030400\", alpha=\"0.18\", expect_size=\"30515200\"] \n  23 -> 24 [size =\"30515200\"]\n  24 [size=\"52049920\", alpha=\"0.00\", expect_size=\"26024960\"] \n  24 -> 25 [size =\"26024960\"]\n  25 [size=\"30881792\", alpha=\"0.02\", expect_size=\"15440896\"] \n  25 -> 26 [size =\"15440896\"]\n  26 [size=\"68601856\", alpha=\"0.05\", expect_size=\"34300928\"] \n  26 -> 27 [size =\"34300928\"]\n  27 [size=\"79257600\", alpha=\"0.04\", expect_size=\"39628800\"] \n  27 -> 28 [size =\"39628800\"]\n  28 [size=\"40613888\", alpha=\"0.00\", expect_size=\"20306944\"] \n  28 -> 29 [size =\"20306944\"]\n  29 [size=\"47245312\", alpha=\"0.07\", expect_size=\"23622656\"] \n  29 -> 30 [size =\"23622656\"]\n  30 [size=\"75751424\", alpha=\"0.02\", expect_size=\"37875712\"] \n  30 -> 31 [size =\"37875712\"]\n  31 [size=\"47749120\", alpha=\"0.09\", expect_size=\"23874560\"] \n  31 -> 32 [size =\"23874560\"]\n  32 [size=\"71442432\", alpha=\"0.03\", expect_size=\"35721216\"] \n  32 -> 33 [size =\"35721216\"]\n  33 [size=\"31408128\", alpha=\"0.09\", expect_size=\"15704064\"] \n  33 -> 34 [size =\"15704064\"]\n  34 [size=\"22837248\", alpha=\"0.17\", expect_size=\"11418624\"] \n  34 -> 35 [size =\"11418624\"]\n  35 [size=\"23068672\", alpha=\"0.02\", expect_size=\"11534336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78196736\", alpha=\"0.17\", expect_size=\"39098368\"] \n  1 -> 29 [size =\"39098368\"]\n  1 -> 30 [size =\"39098368\"]\n  2 [size=\"71055360\", alpha=\"0.10\", expect_size=\"35527680\"] \n  2 -> 21 [size =\"35527680\"]\n  2 -> 23 [size =\"35527680\"]\n  2 -> 24 [size =\"35527680\"]\n  2 -> 25 [size =\"35527680\"]\n  2 -> 32 [size =\"35527680\"]\n  3 [size=\"39063552\", alpha=\"0.08\", expect_size=\"19531776\"] \n  3 -> 23 [size =\"19531776\"]\n  3 -> 29 [size =\"19531776\"]\n  3 -> 32 [size =\"19531776\"]\n  4 [size=\"76552192\", alpha=\"0.07\", expect_size=\"38276096\"] \n  4 -> 23 [size =\"38276096\"]\n  4 -> 24 [size =\"38276096\"]\n  4 -> 30 [size =\"38276096\"]\n  4 -> 32 [size =\"38276096\"]\n  5 [size=\"31711232\", alpha=\"0.15\", expect_size=\"15855616\"] \n  5 -> 26 [size =\"15855616\"]\n  5 -> 29 [size =\"15855616\"]\n  5 -> 32 [size =\"15855616\"]\n  6 [size=\"23982080\", alpha=\"0.16\", expect_size=\"11991040\"] \n  6 -> 22 [size =\"11991040\"]\n  6 -> 30 [size =\"11991040\"]\n  7 [size=\"41705472\", alpha=\"0.01\", expect_size=\"20852736\"] \n  7 -> 35 [size =\"20852736\"]\n  8 [size=\"58808320\", alpha=\"0.19\", expect_size=\"29404160\"] \n  8 -> 25 [size =\"29404160\"]\n  8 -> 28 [size =\"29404160\"]\n  8 -> 32 [size =\"29404160\"]\n  9 [size=\"41185280\", alpha=\"0.10\", expect_size=\"20592640\"] \n  9 -> 20 [size =\"20592640\"]\n  9 -> 24 [size =\"20592640\"]\n  9 -> 32 [size =\"20592640\"]\n  10 [size=\"16726016\", alpha=\"0.13\", expect_size=\"8363008\"] \n  10 -> 21 [size =\"8363008\"]\n  10 -> 24 [size =\"8363008\"]\n  10 -> 25 [size =\"8363008\"]\n  10 -> 32 [size =\"8363008\"]\n  10 -> 33 [size =\"8363008\"]\n  11 [size=\"25501696\", alpha=\"0.13\", expect_size=\"12750848\"] \n  11 -> 20 [size =\"12750848\"]\n  11 -> 25 [size =\"12750848\"]\n  11 -> 28 [size =\"12750848\"]\n  11 -> 29 [size =\"12750848\"]\n  11 -> 31 [size =\"12750848\"]\n  12 [size=\"13406208\", alpha=\"0.05\", expect_size=\"6703104\"] \n  12 -> 20 [size =\"6703104\"]\n  12 -> 21 [size =\"6703104\"]\n  12 -> 28 [size =\"6703104\"]\n  12 -> 35 [size =\"6703104\"]\n  13 [size=\"61421568\", alpha=\"0.09\", expect_size=\"30710784\"] \n  13 -> 21 [size =\"30710784\"]\n  13 -> 24 [size =\"30710784\"]\n  13 -> 28 [size =\"30710784\"]\n  13 -> 34 [size =\"30710784\"]\n  14 [size=\"99424256\", alpha=\"0.12\", expect_size=\"49712128\"] \n  14 -> 24 [size =\"49712128\"]\n  14 -> 25 [size =\"49712128\"]\n  14 -> 27 [size =\"49712128\"]\n  14 -> 28 [size =\"49712128\"]\n  14 -> 29 [size =\"49712128\"]\n  14 -> 33 [size =\"49712128\"]\n  15 [size=\"36376576\", alpha=\"0.20\", expect_size=\"18188288\"] \n  15 -> 20 [size =\"18188288\"]\n  15 -> 24 [size =\"18188288\"]\n  16 [size=\"13113344\", alpha=\"0.18\", expect_size=\"6556672\"] \n  16 -> 20 [size =\"6556672\"]\n  16 -> 21 [size =\"6556672\"]\n  16 -> 24 [size =\"6556672\"]\n  16 -> 26 [size =\"6556672\"]\n  16 -> 29 [size =\"6556672\"]\n  16 -> 34 [size =\"6556672\"]\n  17 [size=\"89137152\", alpha=\"0.07\", expect_size=\"44568576\"] \n  17 -> 20 [size =\"44568576\"]\n  17 -> 23 [size =\"44568576\"]\n  17 -> 27 [size =\"44568576\"]\n  17 -> 30 [size =\"44568576\"]\n  17 -> 32 [size =\"44568576\"]\n  18 [size=\"95215616\", alpha=\"0.11\", expect_size=\"47607808\"] \n  18 -> 21 [size =\"47607808\"]\n  18 -> 23 [size =\"47607808\"]\n  18 -> 25 [size =\"47607808\"]\n  18 -> 28 [size =\"47607808\"]\n  18 -> 30 [size =\"47607808\"]\n  18 -> 31 [size =\"47607808\"]\n  18 -> 33 [size =\"47607808\"]\n  19 [size=\"89006080\", alpha=\"0.16\", expect_size=\"44503040\"] \n  19 -> 23 [size =\"44503040\"]\n  19 -> 27 [size =\"44503040\"]\n  19 -> 29 [size =\"44503040\"]\n  19 -> 30 [size =\"44503040\"]\n  19 -> 30 [size =\"44503040\"]\n  20 [size=\"40783872\", alpha=\"0.00\", expect_size=\"20391936\"] \n  21 [size=\"101720064\", alpha=\"0.19\", expect_size=\"50860032\"] \n  22 [size=\"69419008\", alpha=\"0.10\", expect_size=\"34709504\"] \n  23 [size=\"91248640\", alpha=\"0.08\", expect_size=\"45624320\"] \n  24 [size=\"37730304\", alpha=\"0.19\", expect_size=\"18865152\"] \n  25 [size=\"96215040\", alpha=\"0.15\", expect_size=\"48107520\"] \n  26 [size=\"95674368\", alpha=\"0.14\", expect_size=\"47837184\"] \n  27 [size=\"86978560\", alpha=\"0.20\", expect_size=\"43489280\"] \n  28 [size=\"24442880\", alpha=\"0.16\", expect_size=\"12221440\"] \n  29 [size=\"76957696\", alpha=\"0.18\", expect_size=\"38478848\"] \n  30 [size=\"56600576\", alpha=\"0.02\", expect_size=\"28300288\"] \n  31 [size=\"56713216\", alpha=\"0.09\", expect_size=\"28356608\"] \n  32 [size=\"50640896\", alpha=\"0.16\", expect_size=\"25320448\"] \n  33 [size=\"98951168\", alpha=\"0.14\", expect_size=\"49475584\"] \n  34 [size=\"41480192\", alpha=\"0.11\", expect_size=\"20740096\"] \n  35 [size=\"38668288\", alpha=\"0.14\", expect_size=\"19334144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51550208\", alpha=\"0.02\", expect_size=\"25775104\"] \n  1 -> 19 [size =\"25775104\"]\n  1 -> 20 [size =\"25775104\"]\n  1 -> 23 [size =\"25775104\"]\n  2 [size=\"90456064\", alpha=\"0.13\", expect_size=\"45228032\"] \n  2 -> 14 [size =\"45228032\"]\n  2 -> 15 [size =\"45228032\"]\n  2 -> 17 [size =\"45228032\"]\n  2 -> 19 [size =\"45228032\"]\n  2 -> 21 [size =\"45228032\"]\n  3 [size=\"68999168\", alpha=\"0.07\", expect_size=\"34499584\"] \n  3 -> 15 [size =\"34499584\"]\n  3 -> 18 [size =\"34499584\"]\n  3 -> 22 [size =\"34499584\"]\n  3 -> 24 [size =\"34499584\"]\n  4 [size=\"11241472\", alpha=\"0.06\", expect_size=\"5620736\"] \n  4 -> 15 [size =\"5620736\"]\n  4 -> 18 [size =\"5620736\"]\n  4 -> 19 [size =\"5620736\"]\n  5 [size=\"35391488\", alpha=\"0.06\", expect_size=\"17695744\"] \n  5 -> 17 [size =\"17695744\"]\n  5 -> 19 [size =\"17695744\"]\n  5 -> 19 [size =\"17695744\"]\n  6 [size=\"101175296\", alpha=\"0.15\", expect_size=\"50587648\"] \n  6 -> 14 [size =\"50587648\"]\n  6 -> 18 [size =\"50587648\"]\n  6 -> 20 [size =\"50587648\"]\n  7 [size=\"85762048\", alpha=\"0.00\", expect_size=\"42881024\"] \n  7 -> 15 [size =\"42881024\"]\n  7 -> 16 [size =\"42881024\"]\n  7 -> 24 [size =\"42881024\"]\n  8 [size=\"88074240\", alpha=\"0.09\", expect_size=\"44037120\"] \n  8 -> 14 [size =\"44037120\"]\n  8 -> 16 [size =\"44037120\"]\n  8 -> 19 [size =\"44037120\"]\n  8 -> 20 [size =\"44037120\"]\n  8 -> 23 [size =\"44037120\"]\n  8 -> 24 [size =\"44037120\"]\n  9 [size=\"97359872\", alpha=\"0.08\", expect_size=\"48679936\"] \n  9 -> 15 [size =\"48679936\"]\n  9 -> 16 [size =\"48679936\"]\n  9 -> 17 [size =\"48679936\"]\n  9 -> 20 [size =\"48679936\"]\n  9 -> 22 [size =\"48679936\"]\n  10 [size=\"39892992\", alpha=\"0.13\", expect_size=\"19946496\"] \n  10 -> 14 [size =\"19946496\"]\n  11 [size=\"75143168\", alpha=\"0.10\", expect_size=\"37571584\"] \n  11 -> 15 [size =\"37571584\"]\n  11 -> 16 [size =\"37571584\"]\n  11 -> 23 [size =\"37571584\"]\n  12 [size=\"84672512\", alpha=\"0.04\", expect_size=\"42336256\"] \n  12 -> 20 [size =\"42336256\"]\n  12 -> 21 [size =\"42336256\"]\n  12 -> 23 [size =\"42336256\"]\n  13 [size=\"53972992\", alpha=\"0.19\", expect_size=\"26986496\"] \n  13 -> 17 [size =\"26986496\"]\n  13 -> 21 [size =\"26986496\"]\n  13 -> 24 [size =\"26986496\"]\n  14 [size=\"85524480\", alpha=\"0.17\", expect_size=\"42762240\"] \n  14 -> 28 [size =\"42762240\"]\n  14 -> 29 [size =\"42762240\"]\n  14 -> 32 [size =\"42762240\"]\n  14 -> 33 [size =\"42762240\"]\n  14 -> 35 [size =\"42762240\"]\n  15 [size=\"20258816\", alpha=\"0.19\", expect_size=\"10129408\"] \n  15 -> 27 [size =\"10129408\"]\n  15 -> 34 [size =\"10129408\"]\n  16 [size=\"47618048\", alpha=\"0.17\", expect_size=\"23809024\"] \n  16 -> 27 [size =\"23809024\"]\n  16 -> 30 [size =\"23809024\"]\n  17 [size=\"23461888\", alpha=\"0.19\", expect_size=\"11730944\"] \n  17 -> 26 [size =\"11730944\"]\n  17 -> 27 [size =\"11730944\"]\n  18 [size=\"25229312\", alpha=\"0.01\", expect_size=\"12614656\"] \n  18 -> 28 [size =\"12614656\"]\n  18 -> 31 [size =\"12614656\"]\n  19 [size=\"66398208\", alpha=\"0.17\", expect_size=\"33199104\"] \n  19 -> 26 [size =\"33199104\"]\n  19 -> 27 [size =\"33199104\"]\n  19 -> 32 [size =\"33199104\"]\n  20 [size=\"103872512\", alpha=\"0.13\", expect_size=\"51936256\"] \n  20 -> 32 [size =\"51936256\"]\n  20 -> 34 [size =\"51936256\"]\n  20 -> 35 [size =\"51936256\"]\n  21 [size=\"70268928\", alpha=\"0.18\", expect_size=\"35134464\"] \n  21 -> 27 [size =\"35134464\"]\n  21 -> 30 [size =\"35134464\"]\n  21 -> 33 [size =\"35134464\"]\n  22 [size=\"22419456\", alpha=\"0.20\", expect_size=\"11209728\"] \n  22 -> 26 [size =\"11209728\"]\n  22 -> 29 [size =\"11209728\"]\n  22 -> 30 [size =\"11209728\"]\n  23 [size=\"42967040\", alpha=\"0.14\", expect_size=\"21483520\"] \n  23 -> 25 [size =\"21483520\"]\n  23 -> 30 [size =\"21483520\"]\n  23 -> 33 [size =\"21483520\"]\n  24 [size=\"40468480\", alpha=\"0.08\", expect_size=\"20234240\"] \n  24 -> 25 [size =\"20234240\"]\n  24 -> 33 [size =\"20234240\"]\n  24 -> 35 [size =\"20234240\"]\n  25 [size=\"24801280\", alpha=\"0.07\", expect_size=\"12400640\"] \n  26 [size=\"18817024\", alpha=\"0.06\", expect_size=\"9408512\"] \n  27 [size=\"98453504\", alpha=\"0.01\", expect_size=\"49226752\"] \n  28 [size=\"96040960\", alpha=\"0.12\", expect_size=\"48020480\"] \n  29 [size=\"101396480\", alpha=\"0.01\", expect_size=\"50698240\"] \n  30 [size=\"89081856\", alpha=\"0.17\", expect_size=\"44540928\"] \n  31 [size=\"57737216\", alpha=\"0.06\", expect_size=\"28868608\"] \n  32 [size=\"48424960\", alpha=\"0.11\", expect_size=\"24212480\"] \n  33 [size=\"46745600\", alpha=\"0.06\", expect_size=\"23372800\"] \n  34 [size=\"16842752\", alpha=\"0.16\", expect_size=\"8421376\"] \n  35 [size=\"53841920\", alpha=\"0.08\", expect_size=\"26920960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36980736\", alpha=\"0.16\", expect_size=\"18490368\"] \n  1 -> 2 [size =\"18490368\"]\n  2 [size=\"18880512\", alpha=\"0.02\", expect_size=\"9440256\"] \n  2 -> 3 [size =\"9440256\"]\n  3 [size=\"91250688\", alpha=\"0.18\", expect_size=\"45625344\"] \n  3 -> 4 [size =\"45625344\"]\n  4 [size=\"39788544\", alpha=\"0.01\", expect_size=\"19894272\"] \n  4 -> 5 [size =\"19894272\"]\n  5 [size=\"82700288\", alpha=\"0.18\", expect_size=\"41350144\"] \n  5 -> 6 [size =\"41350144\"]\n  6 [size=\"103260160\", alpha=\"0.16\", expect_size=\"51630080\"] \n  6 -> 7 [size =\"51630080\"]\n  7 [size=\"58019840\", alpha=\"0.11\", expect_size=\"29009920\"] \n  7 -> 8 [size =\"29009920\"]\n  8 [size=\"60141568\", alpha=\"0.17\", expect_size=\"30070784\"] \n  8 -> 9 [size =\"30070784\"]\n  9 [size=\"57866240\", alpha=\"0.17\", expect_size=\"28933120\"] \n  9 -> 10 [size =\"28933120\"]\n  10 [size=\"74293248\", alpha=\"0.17\", expect_size=\"37146624\"] \n  10 -> 11 [size =\"37146624\"]\n  11 [size=\"50176000\", alpha=\"0.08\", expect_size=\"25088000\"] \n  11 -> 12 [size =\"25088000\"]\n  12 [size=\"32055296\", alpha=\"0.14\", expect_size=\"16027648\"] \n  12 -> 13 [size =\"16027648\"]\n  13 [size=\"40579072\", alpha=\"0.03\", expect_size=\"20289536\"] \n  13 -> 14 [size =\"20289536\"]\n  14 [size=\"30443520\", alpha=\"0.08\", expect_size=\"15221760\"] \n  14 -> 15 [size =\"15221760\"]\n  15 [size=\"36653056\", alpha=\"0.09\", expect_size=\"18326528\"] \n  15 -> 16 [size =\"18326528\"]\n  16 [size=\"27346944\", alpha=\"0.18\", expect_size=\"13673472\"] \n  16 -> 17 [size =\"13673472\"]\n  17 [size=\"102232064\", alpha=\"0.11\", expect_size=\"51116032\"] \n  17 -> 18 [size =\"51116032\"]\n  18 [size=\"60530688\", alpha=\"0.11\", expect_size=\"30265344\"] \n  18 -> 19 [size =\"30265344\"]\n  19 [size=\"46350336\", alpha=\"0.01\", expect_size=\"23175168\"] \n  19 -> 20 [size =\"23175168\"]\n  20 [size=\"34035712\", alpha=\"0.12\", expect_size=\"17017856\"] \n  20 -> 21 [size =\"17017856\"]\n  21 [size=\"21141504\", alpha=\"0.10\", expect_size=\"10570752\"] \n  21 -> 22 [size =\"10570752\"]\n  22 [size=\"58335232\", alpha=\"0.08\", expect_size=\"29167616\"] \n  22 -> 23 [size =\"29167616\"]\n  23 [size=\"30377984\", alpha=\"0.04\", expect_size=\"15188992\"] \n  23 -> 24 [size =\"15188992\"]\n  24 [size=\"45797376\", alpha=\"0.07\", expect_size=\"22898688\"] \n  24 -> 25 [size =\"22898688\"]\n  25 [size=\"84006912\", alpha=\"0.04\", expect_size=\"42003456\"] \n  25 -> 26 [size =\"42003456\"]\n  26 [size=\"32401408\", alpha=\"0.01\", expect_size=\"16200704\"] \n  26 -> 27 [size =\"16200704\"]\n  27 [size=\"20721664\", alpha=\"0.08\", expect_size=\"10360832\"] \n  27 -> 28 [size =\"10360832\"]\n  28 [size=\"72024064\", alpha=\"0.06\", expect_size=\"36012032\"] \n  28 -> 29 [size =\"36012032\"]\n  29 [size=\"29253632\", alpha=\"0.14\", expect_size=\"14626816\"] \n  29 -> 30 [size =\"14626816\"]\n  30 [size=\"34054144\", alpha=\"0.15\", expect_size=\"17027072\"] \n  30 -> 31 [size =\"17027072\"]\n  31 [size=\"92960768\", alpha=\"0.05\", expect_size=\"46480384\"] \n  31 -> 32 [size =\"46480384\"]\n  32 [size=\"43724800\", alpha=\"0.19\", expect_size=\"21862400\"] \n  32 -> 33 [size =\"21862400\"]\n  33 [size=\"83488768\", alpha=\"0.00\", expect_size=\"41744384\"] \n  33 -> 34 [size =\"41744384\"]\n  34 [size=\"104269824\", alpha=\"0.05\", expect_size=\"52134912\"] \n  34 -> 35 [size =\"52134912\"]\n  35 [size=\"41005056\", alpha=\"0.15\", expect_size=\"20502528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22597120\", alpha=\"0.12\", expect_size=\"9038848\"] \n  1 -> 28 [size =\"9038848\"]\n  1 -> 29 [size =\"9038848\"]\n  1 -> 30 [size =\"9038848\"]\n  1 -> 31 [size =\"9038848\"]\n  1 -> 32 [size =\"9038848\"]\n  1 -> 33 [size =\"9038848\"]\n  1 -> 35 [size =\"9038848\"]\n  2 [size=\"128683520\", alpha=\"0.08\", expect_size=\"51473408\"] \n  2 -> 26 [size =\"51473408\"]\n  2 -> 28 [size =\"51473408\"]\n  2 -> 32 [size =\"51473408\"]\n  3 [size=\"118228480\", alpha=\"0.16\", expect_size=\"47291392\"] \n  3 -> 26 [size =\"47291392\"]\n  3 -> 28 [size =\"47291392\"]\n  3 -> 35 [size =\"47291392\"]\n  4 [size=\"69160960\", alpha=\"0.01\", expect_size=\"27664384\"] \n  4 -> 25 [size =\"27664384\"]\n  4 -> 26 [size =\"27664384\"]\n  4 -> 27 [size =\"27664384\"]\n  4 -> 30 [size =\"27664384\"]\n  4 -> 35 [size =\"27664384\"]\n  5 [size=\"44564480\", alpha=\"0.06\", expect_size=\"17825792\"] \n  5 -> 26 [size =\"17825792\"]\n  5 -> 30 [size =\"17825792\"]\n  6 [size=\"52874240\", alpha=\"0.11\", expect_size=\"21149696\"] \n  6 -> 32 [size =\"21149696\"]\n  6 -> 33 [size =\"21149696\"]\n  6 -> 34 [size =\"21149696\"]\n  7 [size=\"74639360\", alpha=\"0.19\", expect_size=\"29855744\"] \n  7 -> 25 [size =\"29855744\"]\n  7 -> 26 [size =\"29855744\"]\n  7 -> 30 [size =\"29855744\"]\n  7 -> 33 [size =\"29855744\"]\n  8 [size=\"70794240\", alpha=\"0.20\", expect_size=\"28317696\"] \n  8 -> 33 [size =\"28317696\"]\n  8 -> 34 [size =\"28317696\"]\n  8 -> 35 [size =\"28317696\"]\n  9 [size=\"102571520\", alpha=\"0.13\", expect_size=\"41028608\"] \n  9 -> 27 [size =\"41028608\"]\n  9 -> 28 [size =\"41028608\"]\n  10 [size=\"28725760\", alpha=\"0.02\", expect_size=\"11490304\"] \n  10 -> 25 [size =\"11490304\"]\n  10 -> 27 [size =\"11490304\"]\n  10 -> 28 [size =\"11490304\"]\n  10 -> 30 [size =\"11490304\"]\n  10 -> 35 [size =\"11490304\"]\n  11 [size=\"16399360\", alpha=\"0.16\", expect_size=\"6559744\"] \n  11 -> 24 [size =\"6559744\"]\n  11 -> 26 [size =\"6559744\"]\n  11 -> 28 [size =\"6559744\"]\n  11 -> 35 [size =\"6559744\"]\n  12 [size=\"84938240\", alpha=\"0.02\", expect_size=\"33975296\"] \n  12 -> 27 [size =\"33975296\"]\n  13 [size=\"14174720\", alpha=\"0.11\", expect_size=\"5669888\"] \n  13 -> 27 [size =\"5669888\"]\n  13 -> 28 [size =\"5669888\"]\n  13 -> 33 [size =\"5669888\"]\n  14 [size=\"107166720\", alpha=\"0.13\", expect_size=\"42866688\"] \n  14 -> 26 [size =\"42866688\"]\n  14 -> 27 [size =\"42866688\"]\n  14 -> 28 [size =\"42866688\"]\n  14 -> 33 [size =\"42866688\"]\n  14 -> 35 [size =\"42866688\"]\n  15 [size=\"114424320\", alpha=\"0.15\", expect_size=\"45769728\"] \n  15 -> 28 [size =\"45769728\"]\n  15 -> 33 [size =\"45769728\"]\n  16 [size=\"34470400\", alpha=\"0.10\", expect_size=\"13788160\"] \n  16 -> 27 [size =\"13788160\"]\n  16 -> 30 [size =\"13788160\"]\n  16 -> 33 [size =\"13788160\"]\n  16 -> 35 [size =\"13788160\"]\n  17 [size=\"99005440\", alpha=\"0.20\", expect_size=\"39602176\"] \n  17 -> 29 [size =\"39602176\"]\n  17 -> 30 [size =\"39602176\"]\n  18 [size=\"91141120\", alpha=\"0.14\", expect_size=\"36456448\"] \n  18 -> 25 [size =\"36456448\"]\n  18 -> 28 [size =\"36456448\"]\n  19 [size=\"89963520\", alpha=\"0.08\", expect_size=\"35985408\"] \n  19 -> 27 [size =\"35985408\"]\n  19 -> 28 [size =\"35985408\"]\n  20 [size=\"51284480\", alpha=\"0.04\", expect_size=\"20513792\"] \n  20 -> 25 [size =\"20513792\"]\n  20 -> 32 [size =\"20513792\"]\n  20 -> 33 [size =\"20513792\"]\n  21 [size=\"61852160\", alpha=\"0.00\", expect_size=\"24740864\"] \n  21 -> 25 [size =\"24740864\"]\n  21 -> 27 [size =\"24740864\"]\n  21 -> 30 [size =\"24740864\"]\n  21 -> 32 [size =\"24740864\"]\n  22 [size=\"38645760\", alpha=\"0.17\", expect_size=\"15458304\"] \n  22 -> 25 [size =\"15458304\"]\n  22 -> 27 [size =\"15458304\"]\n  22 -> 29 [size =\"15458304\"]\n  22 -> 30 [size =\"15458304\"]\n  22 -> 32 [size =\"15458304\"]\n  23 [size=\"49551360\", alpha=\"0.11\", expect_size=\"19820544\"] \n  23 -> 24 [size =\"19820544\"]\n  23 -> 25 [size =\"19820544\"]\n  23 -> 29 [size =\"19820544\"]\n  23 -> 30 [size =\"19820544\"]\n  23 -> 32 [size =\"19820544\"]\n  23 -> 35 [size =\"19820544\"]\n  24 [size=\"114232320\", alpha=\"0.15\", expect_size=\"45692928\"] \n  25 [size=\"73891840\", alpha=\"0.04\", expect_size=\"29556736\"] \n  26 [size=\"45122560\", alpha=\"0.20\", expect_size=\"18049024\"] \n  27 [size=\"102292480\", alpha=\"0.06\", expect_size=\"40916992\"] \n  28 [size=\"101419520\", alpha=\"0.02\", expect_size=\"40567808\"] \n  29 [size=\"68958720\", alpha=\"0.14\", expect_size=\"27583488\"] \n  30 [size=\"118138880\", alpha=\"0.07\", expect_size=\"47255552\"] \n  31 [size=\"21324800\", alpha=\"0.02\", expect_size=\"8529920\"] \n  32 [size=\"23936000\", alpha=\"0.08\", expect_size=\"9574400\"] \n  33 [size=\"123589120\", alpha=\"0.15\", expect_size=\"49435648\"] \n  34 [size=\"71513600\", alpha=\"0.18\", expect_size=\"28605440\"] \n  35 [size=\"41728000\", alpha=\"0.18\", expect_size=\"16691200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46834347\", alpha=\"0.09\", expect_size=\"14050304\"] \n  1 -> 20 [size =\"14050304\"]\n  1 -> 24 [size =\"14050304\"]\n  1 -> 25 [size =\"14050304\"]\n  1 -> 29 [size =\"14050304\"]\n  1 -> 33 [size =\"14050304\"]\n  1 -> 35 [size =\"14050304\"]\n  2 [size=\"162594133\", alpha=\"0.20\", expect_size=\"48778240\"] \n  2 -> 20 [size =\"48778240\"]\n  2 -> 21 [size =\"48778240\"]\n  3 [size=\"18063360\", alpha=\"0.06\", expect_size=\"5419008\"] \n  3 -> 22 [size =\"5419008\"]\n  3 -> 26 [size =\"5419008\"]\n  3 -> 29 [size =\"5419008\"]\n  3 -> 30 [size =\"5419008\"]\n  4 [size=\"143476053\", alpha=\"0.13\", expect_size=\"43042816\"] \n  4 -> 20 [size =\"43042816\"]\n  4 -> 21 [size =\"43042816\"]\n  4 -> 24 [size =\"43042816\"]\n  4 -> 27 [size =\"43042816\"]\n  4 -> 28 [size =\"43042816\"]\n  4 -> 32 [size =\"43042816\"]\n  4 -> 35 [size =\"43042816\"]\n  5 [size=\"135854080\", alpha=\"0.14\", expect_size=\"40756224\"] \n  5 -> 20 [size =\"40756224\"]\n  5 -> 21 [size =\"40756224\"]\n  5 -> 28 [size =\"40756224\"]\n  5 -> 29 [size =\"40756224\"]\n  5 -> 30 [size =\"40756224\"]\n  6 [size=\"154180267\", alpha=\"0.18\", expect_size=\"46254080\"] \n  6 -> 21 [size =\"46254080\"]\n  6 -> 22 [size =\"46254080\"]\n  6 -> 23 [size =\"46254080\"]\n  6 -> 24 [size =\"46254080\"]\n  6 -> 28 [size =\"46254080\"]\n  6 -> 32 [size =\"46254080\"]\n  7 [size=\"122982400\", alpha=\"0.17\", expect_size=\"36894720\"] \n  7 -> 21 [size =\"36894720\"]\n  7 -> 22 [size =\"36894720\"]\n  7 -> 23 [size =\"36894720\"]\n  7 -> 24 [size =\"36894720\"]\n  7 -> 25 [size =\"36894720\"]\n  7 -> 27 [size =\"36894720\"]\n  7 -> 28 [size =\"36894720\"]\n  7 -> 29 [size =\"36894720\"]\n  7 -> 34 [size =\"36894720\"]\n  8 [size=\"133369173\", alpha=\"0.09\", expect_size=\"40010752\"] \n  8 -> 19 [size =\"40010752\"]\n  8 -> 20 [size =\"40010752\"]\n  8 -> 21 [size =\"40010752\"]\n  8 -> 24 [size =\"40010752\"]\n  8 -> 25 [size =\"40010752\"]\n  8 -> 26 [size =\"40010752\"]\n  8 -> 27 [size =\"40010752\"]\n  8 -> 28 [size =\"40010752\"]\n  8 -> 35 [size =\"40010752\"]\n  9 [size=\"125201067\", alpha=\"0.17\", expect_size=\"37560320\"] \n  9 -> 23 [size =\"37560320\"]\n  9 -> 24 [size =\"37560320\"]\n  9 -> 28 [size =\"37560320\"]\n  9 -> 29 [size =\"37560320\"]\n  10 [size=\"59733333\", alpha=\"0.20\", expect_size=\"17920000\"] \n  10 -> 22 [size =\"17920000\"]\n  10 -> 24 [size =\"17920000\"]\n  10 -> 25 [size =\"17920000\"]\n  10 -> 29 [size =\"17920000\"]\n  10 -> 30 [size =\"17920000\"]\n  11 [size=\"173544107\", alpha=\"0.07\", expect_size=\"52063232\"] \n  11 -> 20 [size =\"52063232\"]\n  11 -> 22 [size =\"52063232\"]\n  11 -> 24 [size =\"52063232\"]\n  11 -> 25 [size =\"52063232\"]\n  11 -> 29 [size =\"52063232\"]\n  11 -> 30 [size =\"52063232\"]\n  12 [size=\"87244800\", alpha=\"0.17\", expect_size=\"26173440\"] \n  12 -> 20 [size =\"26173440\"]\n  12 -> 21 [size =\"26173440\"]\n  12 -> 24 [size =\"26173440\"]\n  12 -> 25 [size =\"26173440\"]\n  12 -> 27 [size =\"26173440\"]\n  12 -> 29 [size =\"26173440\"]\n  12 -> 32 [size =\"26173440\"]\n  13 [size=\"86118400\", alpha=\"0.10\", expect_size=\"25835520\"] \n  13 -> 21 [size =\"25835520\"]\n  13 -> 22 [size =\"25835520\"]\n  13 -> 25 [size =\"25835520\"]\n  13 -> 27 [size =\"25835520\"]\n  13 -> 32 [size =\"25835520\"]\n  14 [size=\"134925653\", alpha=\"0.18\", expect_size=\"40477696\"] \n  14 -> 21 [size =\"40477696\"]\n  14 -> 31 [size =\"40477696\"]\n  14 -> 35 [size =\"40477696\"]\n  15 [size=\"82807467\", alpha=\"0.18\", expect_size=\"24842240\"] \n  15 -> 21 [size =\"24842240\"]\n  15 -> 22 [size =\"24842240\"]\n  16 [size=\"33976320\", alpha=\"0.01\", expect_size=\"10192896\"] \n  16 -> 22 [size =\"10192896\"]\n  16 -> 32 [size =\"10192896\"]\n  17 [size=\"171673600\", alpha=\"0.03\", expect_size=\"51502080\"] \n  17 -> 24 [size =\"51502080\"]\n  17 -> 28 [size =\"51502080\"]\n  17 -> 30 [size =\"51502080\"]\n  17 -> 32 [size =\"51502080\"]\n  17 -> 35 [size =\"51502080\"]\n  18 [size=\"147186347\", alpha=\"0.07\", expect_size=\"44155904\"] \n  18 -> 22 [size =\"44155904\"]\n  18 -> 24 [size =\"44155904\"]\n  18 -> 27 [size =\"44155904\"]\n  18 -> 28 [size =\"44155904\"]\n  19 [size=\"61416107\", alpha=\"0.19\", expect_size=\"18424832\"] \n  20 [size=\"40017920\", alpha=\"0.09\", expect_size=\"12005376\"] \n  21 [size=\"39854080\", alpha=\"0.02\", expect_size=\"11956224\"] \n  22 [size=\"95477760\", alpha=\"0.15\", expect_size=\"28643328\"] \n  23 [size=\"74356053\", alpha=\"0.07\", expect_size=\"22306816\"] \n  24 [size=\"151722667\", alpha=\"0.15\", expect_size=\"45516800\"] \n  25 [size=\"136826880\", alpha=\"0.18\", expect_size=\"41048064\"] \n  26 [size=\"124849493\", alpha=\"0.19\", expect_size=\"37454848\"] \n  27 [size=\"131191467\", alpha=\"0.13\", expect_size=\"39357440\"] \n  28 [size=\"156142933\", alpha=\"0.02\", expect_size=\"46842880\"] \n  29 [size=\"54278827\", alpha=\"0.04\", expect_size=\"16283648\"] \n  30 [size=\"44584960\", alpha=\"0.12\", expect_size=\"13375488\"] \n  31 [size=\"113230507\", alpha=\"0.00\", expect_size=\"33969152\"] \n  32 [size=\"132297387\", alpha=\"0.17\", expect_size=\"39689216\"] \n  33 [size=\"89613653\", alpha=\"0.02\", expect_size=\"26884096\"] \n  34 [size=\"143059627\", alpha=\"0.02\", expect_size=\"42917888\"] \n  35 [size=\"104062293\", alpha=\"0.11\", expect_size=\"31218688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170646187\", alpha=\"0.08\", expect_size=\"51193856\"] \n  1 -> 3 [size =\"51193856\"]\n  2 [size=\"111469227\", alpha=\"0.01\", expect_size=\"33440768\"] \n  2 -> 3 [size =\"33440768\"]\n  2 -> 4 [size =\"33440768\"]\n  3 [size=\"78424747\", alpha=\"0.18\", expect_size=\"23527424\"] \n  3 -> 5 [size =\"23527424\"]\n  3 -> 6 [size =\"23527424\"]\n  4 [size=\"164481707\", alpha=\"0.17\", expect_size=\"49344512\"] \n  4 -> 5 [size =\"49344512\"]\n  5 [size=\"56913920\", alpha=\"0.02\", expect_size=\"17074176\"] \n  5 -> 7 [size =\"17074176\"]\n  5 -> 8 [size =\"17074176\"]\n  6 [size=\"147947520\", alpha=\"0.18\", expect_size=\"44384256\"] \n  6 -> 7 [size =\"44384256\"]\n  6 -> 8 [size =\"44384256\"]\n  7 [size=\"41652907\", alpha=\"0.12\", expect_size=\"12495872\"] \n  7 -> 9 [size =\"12495872\"]\n  8 [size=\"83483307\", alpha=\"0.11\", expect_size=\"25044992\"] \n  9 [size=\"169233067\", alpha=\"0.11\", expect_size=\"50769920\"] \n  9 -> 10 [size =\"50769920\"]\n  10 [size=\"120470187\", alpha=\"0.15\", expect_size=\"36141056\"] \n  10 -> 11 [size =\"36141056\"]\n  11 [size=\"79411200\", alpha=\"0.08\", expect_size=\"23823360\"] \n  11 -> 12 [size =\"23823360\"]\n  11 -> 13 [size =\"23823360\"]\n  12 [size=\"142356480\", alpha=\"0.07\", expect_size=\"42706944\"] \n  12 -> 14 [size =\"42706944\"]\n  13 [size=\"147616427\", alpha=\"0.02\", expect_size=\"44284928\"] \n  14 [size=\"129109333\", alpha=\"0.12\", expect_size=\"38732800\"] \n  14 -> 15 [size =\"38732800\"]\n  14 -> 16 [size =\"38732800\"]\n  15 [size=\"109294933\", alpha=\"0.10\", expect_size=\"32788480\"] \n  16 [size=\"125723307\", alpha=\"0.09\", expect_size=\"37716992\"] \n  16 -> 17 [size =\"37716992\"]\n  17 [size=\"109342720\", alpha=\"0.12\", expect_size=\"32802816\"] \n  17 -> 18 [size =\"32802816\"]\n  18 [size=\"47581867\", alpha=\"0.19\", expect_size=\"14274560\"] \n  18 -> 19 [size =\"14274560\"]\n  18 -> 20 [size =\"14274560\"]\n  19 [size=\"132529493\", alpha=\"0.03\", expect_size=\"39758848\"] \n  19 -> 21 [size =\"39758848\"]\n  20 [size=\"59777707\", alpha=\"0.14\", expect_size=\"17933312\"] \n  20 -> 21 [size =\"17933312\"]\n  21 [size=\"21742933\", alpha=\"0.05\", expect_size=\"6522880\"] \n  21 -> 22 [size =\"6522880\"]\n  22 [size=\"85360640\", alpha=\"0.07\", expect_size=\"25608192\"] \n  22 -> 23 [size =\"25608192\"]\n  22 -> 24 [size =\"25608192\"]\n  23 [size=\"144209920\", alpha=\"0.18\", expect_size=\"43262976\"] \n  23 -> 25 [size =\"43262976\"]\n  24 [size=\"159337813\", alpha=\"0.07\", expect_size=\"47801344\"] \n  24 -> 25 [size =\"47801344\"]\n  24 -> 26 [size =\"47801344\"]\n  25 [size=\"97863680\", alpha=\"0.01\", expect_size=\"29359104\"] \n  25 -> 27 [size =\"29359104\"]\n  26 [size=\"174175573\", alpha=\"0.11\", expect_size=\"52252672\"] \n  26 -> 28 [size =\"52252672\"]\n  27 [size=\"91511467\", alpha=\"0.05\", expect_size=\"27453440\"] \n  28 [size=\"26504533\", alpha=\"0.07\", expect_size=\"7951360\"] \n  28 -> 29 [size =\"7951360\"]\n  28 -> 30 [size =\"7951360\"]\n  29 [size=\"173158400\", alpha=\"0.08\", expect_size=\"51947520\"] \n  29 -> 31 [size =\"51947520\"]\n  29 -> 32 [size =\"51947520\"]\n  30 [size=\"43028480\", alpha=\"0.02\", expect_size=\"12908544\"] \n  30 -> 31 [size =\"12908544\"]\n  30 -> 32 [size =\"12908544\"]\n  31 [size=\"156972373\", alpha=\"0.04\", expect_size=\"47091712\"] \n  31 -> 33 [size =\"47091712\"]\n  32 [size=\"39017813\", alpha=\"0.03\", expect_size=\"11705344\"] \n  32 -> 33 [size =\"11705344\"]\n  33 [size=\"97733973\", alpha=\"0.17\", expect_size=\"29320192\"] \n  33 -> 34 [size =\"29320192\"]\n  34 [size=\"79493120\", alpha=\"0.06\", expect_size=\"23847936\"] \n  34 -> 35 [size =\"23847936\"]\n  35 [size=\"131307520\", alpha=\"0.07\", expect_size=\"39392256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67975680\", alpha=\"0.09\", expect_size=\"27190272\"] \n  2 [size=\"15372800\", alpha=\"0.14\", expect_size=\"6149120\"] \n  2 -> 6 [size =\"6149120\"]\n  2 -> 8 [size =\"6149120\"]\n  2 -> 9 [size =\"6149120\"]\n  3 [size=\"114327040\", alpha=\"0.19\", expect_size=\"45730816\"] \n  3 -> 7 [size =\"45730816\"]\n  3 -> 9 [size =\"45730816\"]\n  4 [size=\"59220480\", alpha=\"0.09\", expect_size=\"23688192\"] \n  4 -> 6 [size =\"23688192\"]\n  4 -> 7 [size =\"23688192\"]\n  4 -> 9 [size =\"23688192\"]\n  5 [size=\"52915200\", alpha=\"0.04\", expect_size=\"21166080\"] \n  5 -> 6 [size =\"21166080\"]\n  6 [size=\"85672960\", alpha=\"0.00\", expect_size=\"34269184\"] \n  6 -> 12 [size =\"34269184\"]\n  7 [size=\"115950080\", alpha=\"0.10\", expect_size=\"46380032\"] \n  7 -> 10 [size =\"46380032\"]\n  8 [size=\"127168000\", alpha=\"0.18\", expect_size=\"50867200\"] \n  8 -> 11 [size =\"50867200\"]\n  9 [size=\"56166400\", alpha=\"0.12\", expect_size=\"22466560\"] \n  9 -> 13 [size =\"22466560\"]\n  10 [size=\"92362240\", alpha=\"0.05\", expect_size=\"36944896\"] \n  10 -> 16 [size =\"36944896\"]\n  11 [size=\"60116480\", alpha=\"0.12\", expect_size=\"24046592\"] \n  11 -> 16 [size =\"24046592\"]\n  12 [size=\"113157120\", alpha=\"0.10\", expect_size=\"45262848\"] \n  12 -> 15 [size =\"45262848\"]\n  13 [size=\"80120320\", alpha=\"0.18\", expect_size=\"32048128\"] \n  13 -> 14 [size =\"32048128\"]\n  13 -> 15 [size =\"32048128\"]\n  14 [size=\"71508480\", alpha=\"0.08\", expect_size=\"28603392\"] \n  14 -> 17 [size =\"28603392\"]\n  14 -> 21 [size =\"28603392\"]\n  15 [size=\"125867520\", alpha=\"0.01\", expect_size=\"50347008\"] \n  15 -> 18 [size =\"50347008\"]\n  15 -> 19 [size =\"50347008\"]\n  16 [size=\"34037760\", alpha=\"0.09\", expect_size=\"13615104\"] \n  16 -> 17 [size =\"13615104\"]\n  16 -> 20 [size =\"13615104\"]\n  17 [size=\"36833280\", alpha=\"0.03\", expect_size=\"14733312\"] \n  17 -> 22 [size =\"14733312\"]\n  17 -> 23 [size =\"14733312\"]\n  17 -> 24 [size =\"14733312\"]\n  18 [size=\"98539520\", alpha=\"0.09\", expect_size=\"39415808\"] \n  18 -> 23 [size =\"39415808\"]\n  18 -> 24 [size =\"39415808\"]\n  19 [size=\"86517760\", alpha=\"0.18\", expect_size=\"34607104\"] \n  19 -> 22 [size =\"34607104\"]\n  19 -> 25 [size =\"34607104\"]\n  20 [size=\"37488640\", alpha=\"0.16\", expect_size=\"14995456\"] \n  20 -> 24 [size =\"14995456\"]\n  21 [size=\"67676160\", alpha=\"0.03\", expect_size=\"27070464\"] \n  21 -> 22 [size =\"27070464\"]\n  22 [size=\"20769280\", alpha=\"0.10\", expect_size=\"8307712\"] \n  22 -> 26 [size =\"8307712\"]\n  22 -> 29 [size =\"8307712\"]\n  23 [size=\"76933120\", alpha=\"0.15\", expect_size=\"30773248\"] \n  23 -> 26 [size =\"30773248\"]\n  23 -> 28 [size =\"30773248\"]\n  24 [size=\"63928320\", alpha=\"0.07\", expect_size=\"25571328\"] \n  24 -> 28 [size =\"25571328\"]\n  25 [size=\"112289280\", alpha=\"0.07\", expect_size=\"44915712\"] \n  25 -> 27 [size =\"44915712\"]\n  26 [size=\"119685120\", alpha=\"0.18\", expect_size=\"47874048\"] \n  26 -> 30 [size =\"47874048\"]\n  26 -> 31 [size =\"47874048\"]\n  26 -> 33 [size =\"47874048\"]\n  26 -> 34 [size =\"47874048\"]\n  27 [size=\"52628480\", alpha=\"0.07\", expect_size=\"21051392\"] \n  27 -> 31 [size =\"21051392\"]\n  28 [size=\"71777280\", alpha=\"0.15\", expect_size=\"28710912\"] \n  28 -> 30 [size =\"28710912\"]\n  28 -> 32 [size =\"28710912\"]\n  29 [size=\"126210560\", alpha=\"0.11\", expect_size=\"50484224\"] \n  30 [size=\"113891840\", alpha=\"0.00\", expect_size=\"45556736\"] \n  30 -> 35 [size =\"45556736\"]\n  31 [size=\"88634880\", alpha=\"0.17\", expect_size=\"35453952\"] \n  32 [size=\"105308160\", alpha=\"0.11\", expect_size=\"42123264\"] \n  33 [size=\"48217600\", alpha=\"0.16\", expect_size=\"19287040\"] \n  34 [size=\"18577920\", alpha=\"0.12\", expect_size=\"7431168\"] \n  34 -> 35 [size =\"7431168\"]\n  35 [size=\"62507520\", alpha=\"0.06\", expect_size=\"25003008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88897536\", alpha=\"0.15\", expect_size=\"44448768\"] \n  1 -> 2 [size =\"44448768\"]\n  1 -> 3 [size =\"44448768\"]\n  2 [size=\"97249280\", alpha=\"0.14\", expect_size=\"48624640\"] \n  2 -> 4 [size =\"48624640\"]\n  2 -> 5 [size =\"48624640\"]\n  3 [size=\"29769728\", alpha=\"0.04\", expect_size=\"14884864\"] \n  4 [size=\"55717888\", alpha=\"0.09\", expect_size=\"27858944\"] \n  4 -> 6 [size =\"27858944\"]\n  5 [size=\"72486912\", alpha=\"0.06\", expect_size=\"36243456\"] \n  6 [size=\"37910528\", alpha=\"0.01\", expect_size=\"18955264\"] \n  6 -> 7 [size =\"18955264\"]\n  7 [size=\"68167680\", alpha=\"0.05\", expect_size=\"34083840\"] \n  7 -> 8 [size =\"34083840\"]\n  8 [size=\"94179328\", alpha=\"0.04\", expect_size=\"47089664\"] \n  8 -> 9 [size =\"47089664\"]\n  9 [size=\"25780224\", alpha=\"0.06\", expect_size=\"12890112\"] \n  9 -> 10 [size =\"12890112\"]\n  10 [size=\"20424704\", alpha=\"0.06\", expect_size=\"10212352\"] \n  10 -> 11 [size =\"10212352\"]\n  10 -> 12 [size =\"10212352\"]\n  11 [size=\"27129856\", alpha=\"0.05\", expect_size=\"13564928\"] \n  11 -> 13 [size =\"13564928\"]\n  12 [size=\"98738176\", alpha=\"0.18\", expect_size=\"49369088\"] \n  12 -> 13 [size =\"49369088\"]\n  12 -> 14 [size =\"49369088\"]\n  13 [size=\"69873664\", alpha=\"0.05\", expect_size=\"34936832\"] \n  13 -> 15 [size =\"34936832\"]\n  14 [size=\"88432640\", alpha=\"0.13\", expect_size=\"44216320\"] \n  15 [size=\"35985408\", alpha=\"0.06\", expect_size=\"17992704\"] \n  15 -> 16 [size =\"17992704\"]\n  15 -> 17 [size =\"17992704\"]\n  16 [size=\"62507008\", alpha=\"0.07\", expect_size=\"31253504\"] \n  16 -> 18 [size =\"31253504\"]\n  17 [size=\"67577856\", alpha=\"0.08\", expect_size=\"33788928\"] \n  18 [size=\"91772928\", alpha=\"0.14\", expect_size=\"45886464\"] \n  18 -> 19 [size =\"45886464\"]\n  18 -> 20 [size =\"45886464\"]\n  19 [size=\"17381376\", alpha=\"0.17\", expect_size=\"8690688\"] \n  19 -> 21 [size =\"8690688\"]\n  20 [size=\"47339520\", alpha=\"0.01\", expect_size=\"23669760\"] \n  20 -> 21 [size =\"23669760\"]\n  21 [size=\"73957376\", alpha=\"0.02\", expect_size=\"36978688\"] \n  21 -> 22 [size =\"36978688\"]\n  22 [size=\"95365120\", alpha=\"0.01\", expect_size=\"47682560\"] \n  22 -> 23 [size =\"47682560\"]\n  23 [size=\"84049920\", alpha=\"0.04\", expect_size=\"42024960\"] \n  23 -> 24 [size =\"42024960\"]\n  23 -> 25 [size =\"42024960\"]\n  24 [size=\"11923456\", alpha=\"0.17\", expect_size=\"5961728\"] \n  25 [size=\"72990720\", alpha=\"0.03\", expect_size=\"36495360\"] \n  25 -> 26 [size =\"36495360\"]\n  26 [size=\"103354368\", alpha=\"0.15\", expect_size=\"51677184\"] \n  26 -> 27 [size =\"51677184\"]\n  26 -> 28 [size =\"51677184\"]\n  27 [size=\"43317248\", alpha=\"0.19\", expect_size=\"21658624\"] \n  27 -> 29 [size =\"21658624\"]\n  28 [size=\"79695872\", alpha=\"0.01\", expect_size=\"39847936\"] \n  29 [size=\"50122752\", alpha=\"0.06\", expect_size=\"25061376\"] \n  29 -> 30 [size =\"25061376\"]\n  29 -> 31 [size =\"25061376\"]\n  30 [size=\"34519040\", alpha=\"0.13\", expect_size=\"17259520\"] \n  30 -> 32 [size =\"17259520\"]\n  31 [size=\"38694912\", alpha=\"0.04\", expect_size=\"19347456\"] \n  32 [size=\"46688256\", alpha=\"0.13\", expect_size=\"23344128\"] \n  32 -> 33 [size =\"23344128\"]\n  32 -> 34 [size =\"23344128\"]\n  33 [size=\"50896896\", alpha=\"0.15\", expect_size=\"25448448\"] \n  33 -> 35 [size =\"25448448\"]\n  34 [size=\"70602752\", alpha=\"0.13\", expect_size=\"35301376\"] \n  35 [size=\"56670208\", alpha=\"0.17\", expect_size=\"28335104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92262400\", alpha=\"0.07\", expect_size=\"36904960\"] \n  1 -> 2 [size =\"36904960\"]\n  2 [size=\"14563840\", alpha=\"0.03\", expect_size=\"5825536\"] \n  2 -> 3 [size =\"5825536\"]\n  3 [size=\"117457920\", alpha=\"0.05\", expect_size=\"46983168\"] \n  3 -> 4 [size =\"46983168\"]\n  4 [size=\"66319360\", alpha=\"0.09\", expect_size=\"26527744\"] \n  4 -> 5 [size =\"26527744\"]\n  5 [size=\"80852480\", alpha=\"0.02\", expect_size=\"32340992\"] \n  5 -> 6 [size =\"32340992\"]\n  6 [size=\"39280640\", alpha=\"0.02\", expect_size=\"15712256\"] \n  6 -> 7 [size =\"15712256\"]\n  7 [size=\"32235520\", alpha=\"0.02\", expect_size=\"12894208\"] \n  7 -> 8 [size =\"12894208\"]\n  8 [size=\"121640960\", alpha=\"0.15\", expect_size=\"48656384\"] \n  8 -> 9 [size =\"48656384\"]\n  9 [size=\"129582080\", alpha=\"0.12\", expect_size=\"51832832\"] \n  9 -> 10 [size =\"51832832\"]\n  10 [size=\"77969920\", alpha=\"0.12\", expect_size=\"31187968\"] \n  10 -> 11 [size =\"31187968\"]\n  11 [size=\"15429120\", alpha=\"0.16\", expect_size=\"6171648\"] \n  11 -> 12 [size =\"6171648\"]\n  12 [size=\"57943040\", alpha=\"0.08\", expect_size=\"23177216\"] \n  12 -> 13 [size =\"23177216\"]\n  13 [size=\"75921920\", alpha=\"0.11\", expect_size=\"30368768\"] \n  13 -> 14 [size =\"30368768\"]\n  14 [size=\"106905600\", alpha=\"0.18\", expect_size=\"42762240\"] \n  14 -> 15 [size =\"42762240\"]\n  15 [size=\"41085440\", alpha=\"0.15\", expect_size=\"16434176\"] \n  15 -> 16 [size =\"16434176\"]\n  16 [size=\"51136000\", alpha=\"0.06\", expect_size=\"20454400\"] \n  16 -> 17 [size =\"20454400\"]\n  17 [size=\"64686080\", alpha=\"0.10\", expect_size=\"25874432\"] \n  17 -> 18 [size =\"25874432\"]\n  18 [size=\"78673920\", alpha=\"0.11\", expect_size=\"31469568\"] \n  18 -> 19 [size =\"31469568\"]\n  19 [size=\"47592960\", alpha=\"0.17\", expect_size=\"19037184\"] \n  19 -> 20 [size =\"19037184\"]\n  20 [size=\"121233920\", alpha=\"0.07\", expect_size=\"48493568\"] \n  20 -> 21 [size =\"48493568\"]\n  21 [size=\"75435520\", alpha=\"0.12\", expect_size=\"30174208\"] \n  21 -> 22 [size =\"30174208\"]\n  22 [size=\"49331200\", alpha=\"0.16\", expect_size=\"19732480\"] \n  22 -> 23 [size =\"19732480\"]\n  23 [size=\"94353920\", alpha=\"0.18\", expect_size=\"37741568\"] \n  23 -> 24 [size =\"37741568\"]\n  24 [size=\"43248640\", alpha=\"0.10\", expect_size=\"17299456\"] \n  24 -> 25 [size =\"17299456\"]\n  25 [size=\"33866240\", alpha=\"0.12\", expect_size=\"13546496\"] \n  25 -> 26 [size =\"13546496\"]\n  26 [size=\"120824320\", alpha=\"0.19\", expect_size=\"48329728\"] \n  26 -> 27 [size =\"48329728\"]\n  27 [size=\"35796480\", alpha=\"0.10\", expect_size=\"14318592\"] \n  27 -> 28 [size =\"14318592\"]\n  28 [size=\"94525440\", alpha=\"0.19\", expect_size=\"37810176\"] \n  28 -> 29 [size =\"37810176\"]\n  29 [size=\"40793600\", alpha=\"0.07\", expect_size=\"16317440\"] \n  29 -> 30 [size =\"16317440\"]\n  30 [size=\"20569600\", alpha=\"0.07\", expect_size=\"8227840\"] \n  30 -> 31 [size =\"8227840\"]\n  31 [size=\"64209920\", alpha=\"0.06\", expect_size=\"25683968\"] \n  31 -> 32 [size =\"25683968\"]\n  32 [size=\"14942720\", alpha=\"0.14\", expect_size=\"5977088\"] \n  32 -> 33 [size =\"5977088\"]\n  33 [size=\"110154240\", alpha=\"0.12\", expect_size=\"44061696\"] \n  33 -> 34 [size =\"44061696\"]\n  34 [size=\"100303360\", alpha=\"0.06\", expect_size=\"40121344\"] \n  34 -> 35 [size =\"40121344\"]\n  35 [size=\"38604800\", alpha=\"0.05\", expect_size=\"15441920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20080640\", alpha=\"0.03\", expect_size=\"6024192\"] \n  1 -> 2 [size =\"6024192\"]\n  2 [size=\"88613547\", alpha=\"0.12\", expect_size=\"26584064\"] \n  2 -> 3 [size =\"26584064\"]\n  3 [size=\"72284160\", alpha=\"0.01\", expect_size=\"21685248\"] \n  3 -> 4 [size =\"21685248\"]\n  4 [size=\"99949227\", alpha=\"0.03\", expect_size=\"29984768\"] \n  4 -> 5 [size =\"29984768\"]\n  5 [size=\"98877440\", alpha=\"0.03\", expect_size=\"29663232\"] \n  5 -> 6 [size =\"29663232\"]\n  6 [size=\"95597227\", alpha=\"0.06\", expect_size=\"28679168\"] \n  6 -> 7 [size =\"28679168\"]\n  7 [size=\"72802987\", alpha=\"0.06\", expect_size=\"21840896\"] \n  7 -> 8 [size =\"21840896\"]\n  8 [size=\"29887147\", alpha=\"0.16\", expect_size=\"8966144\"] \n  8 -> 9 [size =\"8966144\"]\n  9 [size=\"150169600\", alpha=\"0.09\", expect_size=\"45050880\"] \n  9 -> 10 [size =\"45050880\"]\n  10 [size=\"68164267\", alpha=\"0.06\", expect_size=\"20449280\"] \n  10 -> 11 [size =\"20449280\"]\n  11 [size=\"72659627\", alpha=\"0.15\", expect_size=\"21797888\"] \n  11 -> 12 [size =\"21797888\"]\n  12 [size=\"95296853\", alpha=\"0.05\", expect_size=\"28589056\"] \n  12 -> 13 [size =\"28589056\"]\n  13 [size=\"33744213\", alpha=\"0.14\", expect_size=\"10123264\"] \n  13 -> 14 [size =\"10123264\"]\n  14 [size=\"37758293\", alpha=\"0.06\", expect_size=\"11327488\"] \n  14 -> 15 [size =\"11327488\"]\n  15 [size=\"58067627\", alpha=\"0.17\", expect_size=\"17420288\"] \n  15 -> 16 [size =\"17420288\"]\n  16 [size=\"83981653\", alpha=\"0.07\", expect_size=\"25194496\"] \n  16 -> 17 [size =\"25194496\"]\n  17 [size=\"132788907\", alpha=\"0.05\", expect_size=\"39836672\"] \n  17 -> 18 [size =\"39836672\"]\n  18 [size=\"19913387\", alpha=\"0.08\", expect_size=\"5974016\"] \n  18 -> 19 [size =\"5974016\"]\n  19 [size=\"146128213\", alpha=\"0.19\", expect_size=\"43838464\"] \n  19 -> 20 [size =\"43838464\"]\n  20 [size=\"57405440\", alpha=\"0.14\", expect_size=\"17221632\"] \n  20 -> 21 [size =\"17221632\"]\n  21 [size=\"101034667\", alpha=\"0.10\", expect_size=\"30310400\"] \n  21 -> 22 [size =\"30310400\"]\n  22 [size=\"60719787\", alpha=\"0.15\", expect_size=\"18215936\"] \n  22 -> 23 [size =\"18215936\"]\n  23 [size=\"101833387\", alpha=\"0.06\", expect_size=\"30550016\"] \n  23 -> 24 [size =\"30550016\"]\n  24 [size=\"53159253\", alpha=\"0.09\", expect_size=\"15947776\"] \n  24 -> 25 [size =\"15947776\"]\n  25 [size=\"96914773\", alpha=\"0.01\", expect_size=\"29074432\"] \n  25 -> 26 [size =\"29074432\"]\n  26 [size=\"75741867\", alpha=\"0.04\", expect_size=\"22722560\"] \n  26 -> 27 [size =\"22722560\"]\n  27 [size=\"128034133\", alpha=\"0.14\", expect_size=\"38410240\"] \n  27 -> 28 [size =\"38410240\"]\n  28 [size=\"164222293\", alpha=\"0.05\", expect_size=\"49266688\"] \n  28 -> 29 [size =\"49266688\"]\n  29 [size=\"68167680\", alpha=\"0.13\", expect_size=\"20450304\"] \n  29 -> 30 [size =\"20450304\"]\n  30 [size=\"57217707\", alpha=\"0.07\", expect_size=\"17165312\"] \n  30 -> 31 [size =\"17165312\"]\n  31 [size=\"167727787\", alpha=\"0.09\", expect_size=\"50318336\"] \n  31 -> 32 [size =\"50318336\"]\n  32 [size=\"87726080\", alpha=\"0.00\", expect_size=\"26317824\"] \n  32 -> 33 [size =\"26317824\"]\n  33 [size=\"45643093\", alpha=\"0.14\", expect_size=\"13692928\"] \n  33 -> 34 [size =\"13692928\"]\n  34 [size=\"96286720\", alpha=\"0.10\", expect_size=\"28886016\"] \n  34 -> 35 [size =\"28886016\"]\n  35 [size=\"164846933\", alpha=\"0.11\", expect_size=\"49454080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67143680\", alpha=\"0.03\", expect_size=\"20143104\"] \n  1 -> 31 [size =\"20143104\"]\n  1 -> 32 [size =\"20143104\"]\n  1 -> 33 [size =\"20143104\"]\n  2 [size=\"107018240\", alpha=\"0.11\", expect_size=\"32105472\"] \n  2 -> 31 [size =\"32105472\"]\n  2 -> 32 [size =\"32105472\"]\n  2 -> 33 [size =\"32105472\"]\n  3 [size=\"122190507\", alpha=\"0.08\", expect_size=\"36657152\"] \n  3 -> 31 [size =\"36657152\"]\n  3 -> 32 [size =\"36657152\"]\n  3 -> 33 [size =\"36657152\"]\n  4 [size=\"55101440\", alpha=\"0.16\", expect_size=\"16530432\"] \n  4 -> 31 [size =\"16530432\"]\n  4 -> 32 [size =\"16530432\"]\n  4 -> 33 [size =\"16530432\"]\n  5 [size=\"119132160\", alpha=\"0.07\", expect_size=\"35739648\"] \n  5 -> 32 [size =\"35739648\"]\n  5 -> 34 [size =\"35739648\"]\n  6 [size=\"101410133\", alpha=\"0.06\", expect_size=\"30423040\"] \n  6 -> 32 [size =\"30423040\"]\n  7 [size=\"101000533\", alpha=\"0.05\", expect_size=\"30300160\"] \n  7 -> 32 [size =\"30300160\"]\n  7 -> 34 [size =\"30300160\"]\n  7 -> 35 [size =\"30300160\"]\n  8 [size=\"45868373\", alpha=\"0.04\", expect_size=\"13760512\"] \n  8 -> 31 [size =\"13760512\"]\n  8 -> 33 [size =\"13760512\"]\n  8 -> 34 [size =\"13760512\"]\n  9 [size=\"126044160\", alpha=\"0.19\", expect_size=\"37813248\"] \n  9 -> 32 [size =\"37813248\"]\n  9 -> 33 [size =\"37813248\"]\n  9 -> 34 [size =\"37813248\"]\n  10 [size=\"20695040\", alpha=\"0.18\", expect_size=\"6208512\"] \n  10 -> 32 [size =\"6208512\"]\n  10 -> 33 [size =\"6208512\"]\n  10 -> 34 [size =\"6208512\"]\n  11 [size=\"127255893\", alpha=\"0.12\", expect_size=\"38176768\"] \n  11 -> 32 [size =\"38176768\"]\n  11 -> 33 [size =\"38176768\"]\n  11 -> 34 [size =\"38176768\"]\n  12 [size=\"151808000\", alpha=\"0.19\", expect_size=\"45542400\"] \n  12 -> 31 [size =\"45542400\"]\n  12 -> 33 [size =\"45542400\"]\n  12 -> 34 [size =\"45542400\"]\n  13 [size=\"77711360\", alpha=\"0.01\", expect_size=\"23313408\"] \n  13 -> 31 [size =\"23313408\"]\n  13 -> 33 [size =\"23313408\"]\n  13 -> 34 [size =\"23313408\"]\n  14 [size=\"143609173\", alpha=\"0.06\", expect_size=\"43082752\"] \n  14 -> 31 [size =\"43082752\"]\n  14 -> 32 [size =\"43082752\"]\n  15 [size=\"109653333\", alpha=\"0.16\", expect_size=\"32896000\"] \n  15 -> 32 [size =\"32896000\"]\n  15 -> 33 [size =\"32896000\"]\n  15 -> 35 [size =\"32896000\"]\n  16 [size=\"166611627\", alpha=\"0.15\", expect_size=\"49983488\"] \n  16 -> 34 [size =\"49983488\"]\n  16 -> 35 [size =\"49983488\"]\n  17 [size=\"58060800\", alpha=\"0.10\", expect_size=\"17418240\"] \n  17 -> 33 [size =\"17418240\"]\n  17 -> 34 [size =\"17418240\"]\n  18 [size=\"100413440\", alpha=\"0.09\", expect_size=\"30124032\"] \n  18 -> 32 [size =\"30124032\"]\n  18 -> 33 [size =\"30124032\"]\n  18 -> 34 [size =\"30124032\"]\n  19 [size=\"131276800\", alpha=\"0.18\", expect_size=\"39383040\"] \n  19 -> 33 [size =\"39383040\"]\n  19 -> 33 [size =\"39383040\"]\n  19 -> 34 [size =\"39383040\"]\n  20 [size=\"125371733\", alpha=\"0.15\", expect_size=\"37611520\"] \n  20 -> 32 [size =\"37611520\"]\n  20 -> 33 [size =\"37611520\"]\n  20 -> 34 [size =\"37611520\"]\n  21 [size=\"108970667\", alpha=\"0.19\", expect_size=\"32691200\"] \n  21 -> 32 [size =\"32691200\"]\n  21 -> 33 [size =\"32691200\"]\n  21 -> 34 [size =\"32691200\"]\n  22 [size=\"44322133\", alpha=\"0.14\", expect_size=\"13296640\"] \n  22 -> 32 [size =\"13296640\"]\n  22 -> 33 [size =\"13296640\"]\n  22 -> 34 [size =\"13296640\"]\n  23 [size=\"33334613\", alpha=\"0.03\", expect_size=\"10000384\"] \n  23 -> 31 [size =\"10000384\"]\n  23 -> 32 [size =\"10000384\"]\n  23 -> 34 [size =\"10000384\"]\n  24 [size=\"44127573\", alpha=\"0.16\", expect_size=\"13238272\"] \n  24 -> 31 [size =\"13238272\"]\n  24 -> 34 [size =\"13238272\"]\n  24 -> 34 [size =\"13238272\"]\n  25 [size=\"90275840\", alpha=\"0.03\", expect_size=\"27082752\"] \n  25 -> 32 [size =\"27082752\"]\n  26 [size=\"62358187\", alpha=\"0.20\", expect_size=\"18707456\"] \n  26 -> 31 [size =\"18707456\"]\n  26 -> 32 [size =\"18707456\"]\n  27 [size=\"23367680\", alpha=\"0.07\", expect_size=\"7010304\"] \n  27 -> 32 [size =\"7010304\"]\n  27 -> 33 [size =\"7010304\"]\n  27 -> 34 [size =\"7010304\"]\n  28 [size=\"104372907\", alpha=\"0.19\", expect_size=\"31311872\"] \n  28 -> 31 [size =\"31311872\"]\n  29 [size=\"18937173\", alpha=\"0.04\", expect_size=\"5681152\"] \n  29 -> 31 [size =\"5681152\"]\n  29 -> 32 [size =\"5681152\"]\n  30 [size=\"157405867\", alpha=\"0.09\", expect_size=\"47221760\"] \n  30 -> 31 [size =\"47221760\"]\n  30 -> 32 [size =\"47221760\"]\n  30 -> 33 [size =\"47221760\"]\n  30 -> 34 [size =\"47221760\"]\n  31 [size=\"119726080\", alpha=\"0.09\", expect_size=\"35917824\"] \n  32 [size=\"112858453\", alpha=\"0.05\", expect_size=\"33857536\"] \n  33 [size=\"69061973\", alpha=\"0.09\", expect_size=\"20718592\"] \n  34 [size=\"93047467\", alpha=\"0.09\", expect_size=\"27914240\"] \n  35 [size=\"65163947\", alpha=\"0.01\", expect_size=\"19549184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61050880\", alpha=\"0.16\", expect_size=\"30525440\"] \n  1 -> 2 [size =\"30525440\"]\n  2 [size=\"100659200\", alpha=\"0.10\", expect_size=\"50329600\"] \n  2 -> 3 [size =\"50329600\"]\n  3 [size=\"27162624\", alpha=\"0.08\", expect_size=\"13581312\"] \n  3 -> 4 [size =\"13581312\"]\n  4 [size=\"65128448\", alpha=\"0.06\", expect_size=\"32564224\"] \n  4 -> 5 [size =\"32564224\"]\n  5 [size=\"85997568\", alpha=\"0.04\", expect_size=\"42998784\"] \n  5 -> 6 [size =\"42998784\"]\n  6 [size=\"59531264\", alpha=\"0.18\", expect_size=\"29765632\"] \n  6 -> 7 [size =\"29765632\"]\n  7 [size=\"49326080\", alpha=\"0.12\", expect_size=\"24663040\"] \n  7 -> 8 [size =\"24663040\"]\n  8 [size=\"46512128\", alpha=\"0.11\", expect_size=\"23256064\"] \n  8 -> 9 [size =\"23256064\"]\n  9 [size=\"44498944\", alpha=\"0.16\", expect_size=\"22249472\"] \n  9 -> 10 [size =\"22249472\"]\n  10 [size=\"62593024\", alpha=\"0.06\", expect_size=\"31296512\"] \n  10 -> 11 [size =\"31296512\"]\n  11 [size=\"15872000\", alpha=\"0.10\", expect_size=\"7936000\"] \n  11 -> 12 [size =\"7936000\"]\n  12 [size=\"91885568\", alpha=\"0.12\", expect_size=\"45942784\"] \n  12 -> 13 [size =\"45942784\"]\n  13 [size=\"44662784\", alpha=\"0.07\", expect_size=\"22331392\"] \n  13 -> 14 [size =\"22331392\"]\n  14 [size=\"83720192\", alpha=\"0.07\", expect_size=\"41860096\"] \n  14 -> 15 [size =\"41860096\"]\n  15 [size=\"15824896\", alpha=\"0.14\", expect_size=\"7912448\"] \n  15 -> 16 [size =\"7912448\"]\n  16 [size=\"35993600\", alpha=\"0.08\", expect_size=\"17996800\"] \n  16 -> 17 [size =\"17996800\"]\n  17 [size=\"25528320\", alpha=\"0.12\", expect_size=\"12764160\"] \n  17 -> 18 [size =\"12764160\"]\n  18 [size=\"82184192\", alpha=\"0.01\", expect_size=\"41092096\"] \n  18 -> 19 [size =\"41092096\"]\n  19 [size=\"38776832\", alpha=\"0.12\", expect_size=\"19388416\"] \n  19 -> 20 [size =\"19388416\"]\n  20 [size=\"21430272\", alpha=\"0.04\", expect_size=\"10715136\"] \n  20 -> 21 [size =\"10715136\"]\n  21 [size=\"47534080\", alpha=\"0.06\", expect_size=\"23767040\"] \n  21 -> 22 [size =\"23767040\"]\n  22 [size=\"93845504\", alpha=\"0.07\", expect_size=\"46922752\"] \n  22 -> 23 [size =\"46922752\"]\n  23 [size=\"57911296\", alpha=\"0.12\", expect_size=\"28955648\"] \n  23 -> 24 [size =\"28955648\"]\n  24 [size=\"92168192\", alpha=\"0.08\", expect_size=\"46084096\"] \n  24 -> 25 [size =\"46084096\"]\n  25 [size=\"31846400\", alpha=\"0.01\", expect_size=\"15923200\"] \n  25 -> 26 [size =\"15923200\"]\n  26 [size=\"99594240\", alpha=\"0.03\", expect_size=\"49797120\"] \n  26 -> 27 [size =\"49797120\"]\n  27 [size=\"44412928\", alpha=\"0.14\", expect_size=\"22206464\"] \n  27 -> 28 [size =\"22206464\"]\n  28 [size=\"99600384\", alpha=\"0.13\", expect_size=\"49800192\"] \n  28 -> 29 [size =\"49800192\"]\n  29 [size=\"103735296\", alpha=\"0.19\", expect_size=\"51867648\"] \n  29 -> 30 [size =\"51867648\"]\n  30 [size=\"68259840\", alpha=\"0.15\", expect_size=\"34129920\"] \n  30 -> 31 [size =\"34129920\"]\n  31 [size=\"86468608\", alpha=\"0.13\", expect_size=\"43234304\"] \n  31 -> 32 [size =\"43234304\"]\n  32 [size=\"20185088\", alpha=\"0.09\", expect_size=\"10092544\"] \n  32 -> 33 [size =\"10092544\"]\n  33 [size=\"53954560\", alpha=\"0.11\", expect_size=\"26977280\"] \n  33 -> 34 [size =\"26977280\"]\n  34 [size=\"15714304\", alpha=\"0.09\", expect_size=\"7857152\"] \n  34 -> 35 [size =\"7857152\"]\n  35 [size=\"54476800\", alpha=\"0.08\", expect_size=\"27238400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41018027\", alpha=\"0.02\", expect_size=\"12305408\"] \n  1 -> 12 [size =\"12305408\"]\n  1 -> 21 [size =\"12305408\"]\n  1 -> 22 [size =\"12305408\"]\n  1 -> 24 [size =\"12305408\"]\n  2 [size=\"142138027\", alpha=\"0.18\", expect_size=\"42641408\"] \n  2 -> 13 [size =\"42641408\"]\n  2 -> 14 [size =\"42641408\"]\n  2 -> 17 [size =\"42641408\"]\n  2 -> 20 [size =\"42641408\"]\n  2 -> 21 [size =\"42641408\"]\n  3 [size=\"153879893\", alpha=\"0.10\", expect_size=\"46163968\"] \n  3 -> 12 [size =\"46163968\"]\n  3 -> 14 [size =\"46163968\"]\n  3 -> 16 [size =\"46163968\"]\n  3 -> 17 [size =\"46163968\"]\n  3 -> 19 [size =\"46163968\"]\n  3 -> 20 [size =\"46163968\"]\n  3 -> 21 [size =\"46163968\"]\n  4 [size=\"93781333\", alpha=\"0.04\", expect_size=\"28134400\"] \n  4 -> 14 [size =\"28134400\"]\n  4 -> 17 [size =\"28134400\"]\n  4 -> 23 [size =\"28134400\"]\n  5 [size=\"141523627\", alpha=\"0.03\", expect_size=\"42457088\"] \n  5 -> 17 [size =\"42457088\"]\n  5 -> 21 [size =\"42457088\"]\n  5 -> 23 [size =\"42457088\"]\n  6 [size=\"63726933\", alpha=\"0.09\", expect_size=\"19118080\"] \n  6 -> 13 [size =\"19118080\"]\n  6 -> 17 [size =\"19118080\"]\n  6 -> 18 [size =\"19118080\"]\n  6 -> 19 [size =\"19118080\"]\n  6 -> 21 [size =\"19118080\"]\n  6 -> 23 [size =\"19118080\"]\n  6 -> 24 [size =\"19118080\"]\n  7 [size=\"101003947\", alpha=\"0.15\", expect_size=\"30301184\"] \n  7 -> 15 [size =\"30301184\"]\n  7 -> 18 [size =\"30301184\"]\n  7 -> 19 [size =\"30301184\"]\n  7 -> 20 [size =\"30301184\"]\n  7 -> 21 [size =\"30301184\"]\n  7 -> 24 [size =\"30301184\"]\n  7 -> 24 [size =\"30301184\"]\n  8 [size=\"44253867\", alpha=\"0.05\", expect_size=\"13276160\"] \n  8 -> 15 [size =\"13276160\"]\n  8 -> 16 [size =\"13276160\"]\n  8 -> 18 [size =\"13276160\"]\n  8 -> 20 [size =\"13276160\"]\n  8 -> 21 [size =\"13276160\"]\n  8 -> 22 [size =\"13276160\"]\n  8 -> 23 [size =\"13276160\"]\n  8 -> 24 [size =\"13276160\"]\n  9 [size=\"113329493\", alpha=\"0.14\", expect_size=\"33998848\"] \n  9 -> 18 [size =\"33998848\"]\n  9 -> 22 [size =\"33998848\"]\n  9 -> 23 [size =\"33998848\"]\n  10 [size=\"165017600\", alpha=\"0.12\", expect_size=\"49505280\"] \n  10 -> 15 [size =\"49505280\"]\n  10 -> 16 [size =\"49505280\"]\n  10 -> 18 [size =\"49505280\"]\n  10 -> 20 [size =\"49505280\"]\n  10 -> 21 [size =\"49505280\"]\n  10 -> 23 [size =\"49505280\"]\n  11 [size=\"58214400\", alpha=\"0.17\", expect_size=\"17464320\"] \n  11 -> 14 [size =\"17464320\"]\n  11 -> 15 [size =\"17464320\"]\n  11 -> 17 [size =\"17464320\"]\n  12 [size=\"71010987\", alpha=\"0.19\", expect_size=\"21303296\"] \n  12 -> 25 [size =\"21303296\"]\n  12 -> 27 [size =\"21303296\"]\n  12 -> 29 [size =\"21303296\"]\n  12 -> 32 [size =\"21303296\"]\n  12 -> 35 [size =\"21303296\"]\n  13 [size=\"57074347\", alpha=\"0.07\", expect_size=\"17122304\"] \n  13 -> 25 [size =\"17122304\"]\n  13 -> 29 [size =\"17122304\"]\n  13 -> 30 [size =\"17122304\"]\n  13 -> 32 [size =\"17122304\"]\n  13 -> 34 [size =\"17122304\"]\n  14 [size=\"139035307\", alpha=\"0.16\", expect_size=\"41710592\"] \n  14 -> 25 [size =\"41710592\"]\n  15 [size=\"171267413\", alpha=\"0.18\", expect_size=\"51380224\"] \n  15 -> 25 [size =\"51380224\"]\n  15 -> 26 [size =\"51380224\"]\n  15 -> 28 [size =\"51380224\"]\n  15 -> 32 [size =\"51380224\"]\n  15 -> 34 [size =\"51380224\"]\n  16 [size=\"40383147\", alpha=\"0.01\", expect_size=\"12114944\"] \n  16 -> 25 [size =\"12114944\"]\n  16 -> 26 [size =\"12114944\"]\n  16 -> 27 [size =\"12114944\"]\n  16 -> 28 [size =\"12114944\"]\n  16 -> 31 [size =\"12114944\"]\n  16 -> 32 [size =\"12114944\"]\n  16 -> 34 [size =\"12114944\"]\n  16 -> 35 [size =\"12114944\"]\n  17 [size=\"114500267\", alpha=\"0.10\", expect_size=\"34350080\"] \n  17 -> 25 [size =\"34350080\"]\n  17 -> 26 [size =\"34350080\"]\n  17 -> 28 [size =\"34350080\"]\n  17 -> 29 [size =\"34350080\"]\n  17 -> 32 [size =\"34350080\"]\n  18 [size=\"75055787\", alpha=\"0.08\", expect_size=\"22516736\"] \n  18 -> 28 [size =\"22516736\"]\n  18 -> 29 [size =\"22516736\"]\n  18 -> 31 [size =\"22516736\"]\n  18 -> 32 [size =\"22516736\"]\n  18 -> 33 [size =\"22516736\"]\n  19 [size=\"112626347\", alpha=\"0.01\", expect_size=\"33787904\"] \n  19 -> 28 [size =\"33787904\"]\n  19 -> 29 [size =\"33787904\"]\n  19 -> 31 [size =\"33787904\"]\n  19 -> 34 [size =\"33787904\"]\n  20 [size=\"63351467\", alpha=\"0.02\", expect_size=\"19005440\"] \n  20 -> 25 [size =\"19005440\"]\n  20 -> 26 [size =\"19005440\"]\n  20 -> 27 [size =\"19005440\"]\n  20 -> 28 [size =\"19005440\"]\n  20 -> 29 [size =\"19005440\"]\n  20 -> 31 [size =\"19005440\"]\n  20 -> 32 [size =\"19005440\"]\n  20 -> 33 [size =\"19005440\"]\n  21 [size=\"158419627\", alpha=\"0.05\", expect_size=\"47525888\"] \n  21 -> 32 [size =\"47525888\"]\n  21 -> 33 [size =\"47525888\"]\n  22 [size=\"133662720\", alpha=\"0.05\", expect_size=\"40098816\"] \n  22 -> 28 [size =\"40098816\"]\n  22 -> 29 [size =\"40098816\"]\n  22 -> 33 [size =\"40098816\"]\n  22 -> 35 [size =\"40098816\"]\n  23 [size=\"124112213\", alpha=\"0.02\", expect_size=\"37233664\"] \n  23 -> 27 [size =\"37233664\"]\n  23 -> 29 [size =\"37233664\"]\n  23 -> 32 [size =\"37233664\"]\n  23 -> 34 [size =\"37233664\"]\n  24 [size=\"23173120\", alpha=\"0.08\", expect_size=\"6951936\"] \n  24 -> 25 [size =\"6951936\"]\n  24 -> 26 [size =\"6951936\"]\n  24 -> 27 [size =\"6951936\"]\n  24 -> 29 [size =\"6951936\"]\n  24 -> 32 [size =\"6951936\"]\n  24 -> 34 [size =\"6951936\"]\n  25 [size=\"147496960\", alpha=\"0.11\", expect_size=\"44249088\"] \n  26 [size=\"132256427\", alpha=\"0.19\", expect_size=\"39676928\"] \n  27 [size=\"136557227\", alpha=\"0.18\", expect_size=\"40967168\"] \n  28 [size=\"56541867\", alpha=\"0.00\", expect_size=\"16962560\"] \n  29 [size=\"115766613\", alpha=\"0.15\", expect_size=\"34729984\"] \n  30 [size=\"122275840\", alpha=\"0.08\", expect_size=\"36682752\"] \n  31 [size=\"134468267\", alpha=\"0.06\", expect_size=\"40340480\"] \n  32 [size=\"18595840\", alpha=\"0.12\", expect_size=\"5578752\"] \n  33 [size=\"56613547\", alpha=\"0.02\", expect_size=\"16984064\"] \n  34 [size=\"70348800\", alpha=\"0.08\", expect_size=\"21104640\"] \n  35 [size=\"136106667\", alpha=\"0.13\", expect_size=\"40832000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74557440\", alpha=\"0.11\", expect_size=\"29822976\"] \n  1 -> 14 [size =\"29822976\"]\n  1 -> 15 [size =\"29822976\"]\n  1 -> 18 [size =\"29822976\"]\n  1 -> 20 [size =\"29822976\"]\n  2 [size=\"26647040\", alpha=\"0.16\", expect_size=\"10658816\"] \n  2 -> 14 [size =\"10658816\"]\n  2 -> 15 [size =\"10658816\"]\n  3 [size=\"64135680\", alpha=\"0.00\", expect_size=\"25654272\"] \n  3 -> 14 [size =\"25654272\"]\n  3 -> 15 [size =\"25654272\"]\n  3 -> 17 [size =\"25654272\"]\n  3 -> 18 [size =\"25654272\"]\n  3 -> 21 [size =\"25654272\"]\n  4 [size=\"58040320\", alpha=\"0.09\", expect_size=\"23216128\"] \n  4 -> 12 [size =\"23216128\"]\n  4 -> 14 [size =\"23216128\"]\n  4 -> 15 [size =\"23216128\"]\n  4 -> 18 [size =\"23216128\"]\n  5 [size=\"97666560\", alpha=\"0.06\", expect_size=\"39066624\"] \n  5 -> 16 [size =\"39066624\"]\n  5 -> 21 [size =\"39066624\"]\n  6 [size=\"27599360\", alpha=\"0.07\", expect_size=\"11039744\"] \n  6 -> 14 [size =\"11039744\"]\n  6 -> 15 [size =\"11039744\"]\n  6 -> 17 [size =\"11039744\"]\n  7 [size=\"91148800\", alpha=\"0.08\", expect_size=\"36459520\"] \n  7 -> 13 [size =\"36459520\"]\n  7 -> 14 [size =\"36459520\"]\n  7 -> 18 [size =\"36459520\"]\n  8 [size=\"88401920\", alpha=\"0.06\", expect_size=\"35360768\"] \n  8 -> 13 [size =\"35360768\"]\n  8 -> 14 [size =\"35360768\"]\n  8 -> 16 [size =\"35360768\"]\n  8 -> 18 [size =\"35360768\"]\n  8 -> 20 [size =\"35360768\"]\n  8 -> 21 [size =\"35360768\"]\n  9 [size=\"87083520\", alpha=\"0.02\", expect_size=\"34833408\"] \n  9 -> 17 [size =\"34833408\"]\n  9 -> 18 [size =\"34833408\"]\n  9 -> 20 [size =\"34833408\"]\n  9 -> 21 [size =\"34833408\"]\n  10 [size=\"104227840\", alpha=\"0.10\", expect_size=\"41691136\"] \n  10 -> 14 [size =\"41691136\"]\n  10 -> 15 [size =\"41691136\"]\n  10 -> 16 [size =\"41691136\"]\n  10 -> 18 [size =\"41691136\"]\n  10 -> 20 [size =\"41691136\"]\n  10 -> 21 [size =\"41691136\"]\n  11 [size=\"83927040\", alpha=\"0.00\", expect_size=\"33570816\"] \n  11 -> 15 [size =\"33570816\"]\n  11 -> 16 [size =\"33570816\"]\n  11 -> 19 [size =\"33570816\"]\n  11 -> 21 [size =\"33570816\"]\n  12 [size=\"31618560\", alpha=\"0.16\", expect_size=\"12647424\"] \n  12 -> 24 [size =\"12647424\"]\n  12 -> 27 [size =\"12647424\"]\n  12 -> 29 [size =\"12647424\"]\n  12 -> 31 [size =\"12647424\"]\n  12 -> 32 [size =\"12647424\"]\n  13 [size=\"126003200\", alpha=\"0.07\", expect_size=\"50401280\"] \n  13 -> 27 [size =\"50401280\"]\n  13 -> 29 [size =\"50401280\"]\n  14 [size=\"128168960\", alpha=\"0.19\", expect_size=\"51267584\"] \n  14 -> 22 [size =\"51267584\"]\n  14 -> 25 [size =\"51267584\"]\n  14 -> 29 [size =\"51267584\"]\n  14 -> 32 [size =\"51267584\"]\n  15 [size=\"61859840\", alpha=\"0.01\", expect_size=\"24743936\"] \n  15 -> 22 [size =\"24743936\"]\n  15 -> 23 [size =\"24743936\"]\n  15 -> 24 [size =\"24743936\"]\n  15 -> 25 [size =\"24743936\"]\n  15 -> 28 [size =\"24743936\"]\n  15 -> 29 [size =\"24743936\"]\n  15 -> 30 [size =\"24743936\"]\n  16 [size=\"97722880\", alpha=\"0.14\", expect_size=\"39089152\"] \n  16 -> 22 [size =\"39089152\"]\n  16 -> 26 [size =\"39089152\"]\n  16 -> 29 [size =\"39089152\"]\n  16 -> 30 [size =\"39089152\"]\n  17 [size=\"21941760\", alpha=\"0.02\", expect_size=\"8776704\"] \n  17 -> 22 [size =\"8776704\"]\n  17 -> 23 [size =\"8776704\"]\n  17 -> 25 [size =\"8776704\"]\n  17 -> 26 [size =\"8776704\"]\n  17 -> 27 [size =\"8776704\"]\n  17 -> 28 [size =\"8776704\"]\n  17 -> 29 [size =\"8776704\"]\n  17 -> 30 [size =\"8776704\"]\n  18 [size=\"67389440\", alpha=\"0.14\", expect_size=\"26955776\"] \n  18 -> 22 [size =\"26955776\"]\n  18 -> 23 [size =\"26955776\"]\n  18 -> 24 [size =\"26955776\"]\n  18 -> 27 [size =\"26955776\"]\n  18 -> 30 [size =\"26955776\"]\n  18 -> 31 [size =\"26955776\"]\n  19 [size=\"102374400\", alpha=\"0.07\", expect_size=\"40949760\"] \n  19 -> 24 [size =\"40949760\"]\n  19 -> 26 [size =\"40949760\"]\n  19 -> 28 [size =\"40949760\"]\n  19 -> 30 [size =\"40949760\"]\n  19 -> 30 [size =\"40949760\"]\n  20 [size=\"113192960\", alpha=\"0.20\", expect_size=\"45277184\"] \n  20 -> 26 [size =\"45277184\"]\n  20 -> 28 [size =\"45277184\"]\n  20 -> 29 [size =\"45277184\"]\n  20 -> 32 [size =\"45277184\"]\n  21 [size=\"55385600\", alpha=\"0.03\", expect_size=\"22154240\"] \n  21 -> 24 [size =\"22154240\"]\n  21 -> 30 [size =\"22154240\"]\n  21 -> 32 [size =\"22154240\"]\n  21 -> 32 [size =\"22154240\"]\n  22 [size=\"57482240\", alpha=\"0.09\", expect_size=\"22992896\"] \n  23 [size=\"32824320\", alpha=\"0.03\", expect_size=\"13129728\"] \n  24 [size=\"74109440\", alpha=\"0.04\", expect_size=\"29643776\"] \n  25 [size=\"71150080\", alpha=\"0.01\", expect_size=\"28460032\"] \n  25 -> 35 [size =\"28460032\"]\n  26 [size=\"74903040\", alpha=\"0.19\", expect_size=\"29961216\"] \n  26 -> 35 [size =\"29961216\"]\n  27 [size=\"39674880\", alpha=\"0.11\", expect_size=\"15869952\"] \n  27 -> 34 [size =\"15869952\"]\n  28 [size=\"53450240\", alpha=\"0.15\", expect_size=\"21380096\"] \n  28 -> 33 [size =\"21380096\"]\n  29 [size=\"20152320\", alpha=\"0.12\", expect_size=\"8060928\"] \n  29 -> 33 [size =\"8060928\"]\n  29 -> 34 [size =\"8060928\"]\n  30 [size=\"62039040\", alpha=\"0.05\", expect_size=\"24815616\"] \n  30 -> 33 [size =\"24815616\"]\n  31 [size=\"61276160\", alpha=\"0.10\", expect_size=\"24510464\"] \n  31 -> 34 [size =\"24510464\"]\n  32 [size=\"79316480\", alpha=\"0.17\", expect_size=\"31726592\"] \n  32 -> 33 [size =\"31726592\"]\n  32 -> 34 [size =\"31726592\"]\n  33 [size=\"129702400\", alpha=\"0.04\", expect_size=\"51880960\"] \n  34 [size=\"27530240\", alpha=\"0.10\", expect_size=\"11012096\"] \n  35 [size=\"53665280\", alpha=\"0.05\", expect_size=\"21466112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75525120\", alpha=\"0.08\", expect_size=\"30210048\"] \n  2 [size=\"125867520\", alpha=\"0.04\", expect_size=\"50347008\"] \n  2 -> 35 [size =\"50347008\"]\n  3 [size=\"118292480\", alpha=\"0.09\", expect_size=\"47316992\"] \n  4 [size=\"59292160\", alpha=\"0.10\", expect_size=\"23716864\"] \n  4 -> 33 [size =\"23716864\"]\n  5 [size=\"27064320\", alpha=\"0.02\", expect_size=\"10825728\"] \n  5 -> 33 [size =\"10825728\"]\n  6 [size=\"83568640\", alpha=\"0.19\", expect_size=\"33427456\"] \n  6 -> 34 [size =\"33427456\"]\n  6 -> 35 [size =\"33427456\"]\n  7 [size=\"51824640\", alpha=\"0.12\", expect_size=\"20729856\"] \n  7 -> 34 [size =\"20729856\"]\n  7 -> 35 [size =\"20729856\"]\n  8 [size=\"92620800\", alpha=\"0.02\", expect_size=\"37048320\"] \n  8 -> 33 [size =\"37048320\"]\n  8 -> 35 [size =\"37048320\"]\n  9 [size=\"17809920\", alpha=\"0.07\", expect_size=\"7123968\"] \n  9 -> 35 [size =\"7123968\"]\n  10 [size=\"47086080\", alpha=\"0.04\", expect_size=\"18834432\"] \n  11 [size=\"86215680\", alpha=\"0.04\", expect_size=\"34486272\"] \n  12 [size=\"14776320\", alpha=\"0.09\", expect_size=\"5910528\"] \n  12 -> 33 [size =\"5910528\"]\n  12 -> 34 [size =\"5910528\"]\n  12 -> 35 [size =\"5910528\"]\n  13 [size=\"39723520\", alpha=\"0.09\", expect_size=\"15889408\"] \n  13 -> 33 [size =\"15889408\"]\n  13 -> 34 [size =\"15889408\"]\n  13 -> 35 [size =\"15889408\"]\n  14 [size=\"93949440\", alpha=\"0.16\", expect_size=\"37579776\"] \n  14 -> 35 [size =\"37579776\"]\n  15 [size=\"34321920\", alpha=\"0.03\", expect_size=\"13728768\"] \n  15 -> 33 [size =\"13728768\"]\n  15 -> 35 [size =\"13728768\"]\n  16 [size=\"45222400\", alpha=\"0.07\", expect_size=\"18088960\"] \n  16 -> 35 [size =\"18088960\"]\n  16 -> 35 [size =\"18088960\"]\n  17 [size=\"40714240\", alpha=\"0.17\", expect_size=\"16285696\"] \n  17 -> 34 [size =\"16285696\"]\n  17 -> 35 [size =\"16285696\"]\n  18 [size=\"109831680\", alpha=\"0.14\", expect_size=\"43932672\"] \n  19 [size=\"123968000\", alpha=\"0.09\", expect_size=\"49587200\"] \n  19 -> 35 [size =\"49587200\"]\n  20 [size=\"46133760\", alpha=\"0.06\", expect_size=\"18453504\"] \n  20 -> 33 [size =\"18453504\"]\n  21 [size=\"70712320\", alpha=\"0.14\", expect_size=\"28284928\"] \n  21 -> 33 [size =\"28284928\"]\n  21 -> 34 [size =\"28284928\"]\n  21 -> 35 [size =\"28284928\"]\n  22 [size=\"92395520\", alpha=\"0.00\", expect_size=\"36958208\"] \n  22 -> 33 [size =\"36958208\"]\n  23 [size=\"30010880\", alpha=\"0.05\", expect_size=\"12004352\"] \n  24 [size=\"83217920\", alpha=\"0.18\", expect_size=\"33287168\"] \n  24 -> 33 [size =\"33287168\"]\n  24 -> 35 [size =\"33287168\"]\n  25 [size=\"57792000\", alpha=\"0.13\", expect_size=\"23116800\"] \n  25 -> 34 [size =\"23116800\"]\n  26 [size=\"76236800\", alpha=\"0.19\", expect_size=\"30494720\"] \n  26 -> 33 [size =\"30494720\"]\n  27 [size=\"119214080\", alpha=\"0.13\", expect_size=\"47685632\"] \n  28 [size=\"101647360\", alpha=\"0.20\", expect_size=\"40658944\"] \n  28 -> 33 [size =\"40658944\"]\n  29 [size=\"68610560\", alpha=\"0.07\", expect_size=\"27444224\"] \n  30 [size=\"120058880\", alpha=\"0.01\", expect_size=\"48023552\"] \n  30 -> 33 [size =\"48023552\"]\n  30 -> 34 [size =\"48023552\"]\n  31 [size=\"36707840\", alpha=\"0.07\", expect_size=\"14683136\"] \n  31 -> 34 [size =\"14683136\"]\n  32 [size=\"116904960\", alpha=\"0.13\", expect_size=\"46761984\"] \n  32 -> 35 [size =\"46761984\"]\n  33 [size=\"119513600\", alpha=\"0.03\", expect_size=\"47805440\"] \n  34 [size=\"31761920\", alpha=\"0.08\", expect_size=\"12704768\"] \n  35 [size=\"17797120\", alpha=\"0.15\", expect_size=\"7118848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144865280\", alpha=\"0.04\", expect_size=\"43459584\"] \n  1 -> 2 [size =\"43459584\"]\n  2 [size=\"112803840\", alpha=\"0.17\", expect_size=\"33841152\"] \n  2 -> 3 [size =\"33841152\"]\n  3 [size=\"108410880\", alpha=\"0.09\", expect_size=\"32523264\"] \n  3 -> 4 [size =\"32523264\"]\n  4 [size=\"122572800\", alpha=\"0.15\", expect_size=\"36771840\"] \n  4 -> 5 [size =\"36771840\"]\n  5 [size=\"35413333\", alpha=\"0.17\", expect_size=\"10624000\"] \n  5 -> 6 [size =\"10624000\"]\n  6 [size=\"78438400\", alpha=\"0.08\", expect_size=\"23531520\"] \n  6 -> 7 [size =\"23531520\"]\n  7 [size=\"74827093\", alpha=\"0.14\", expect_size=\"22448128\"] \n  7 -> 8 [size =\"22448128\"]\n  8 [size=\"84387840\", alpha=\"0.06\", expect_size=\"25316352\"] \n  8 -> 9 [size =\"25316352\"]\n  9 [size=\"84988587\", alpha=\"0.17\", expect_size=\"25496576\"] \n  9 -> 10 [size =\"25496576\"]\n  10 [size=\"98215253\", alpha=\"0.01\", expect_size=\"29464576\"] \n  10 -> 11 [size =\"29464576\"]\n  11 [size=\"50121387\", alpha=\"0.13\", expect_size=\"15036416\"] \n  11 -> 12 [size =\"15036416\"]\n  12 [size=\"81111040\", alpha=\"0.15\", expect_size=\"24333312\"] \n  12 -> 13 [size =\"24333312\"]\n  13 [size=\"55695360\", alpha=\"0.01\", expect_size=\"16708608\"] \n  13 -> 14 [size =\"16708608\"]\n  14 [size=\"128853333\", alpha=\"0.08\", expect_size=\"38656000\"] \n  14 -> 15 [size =\"38656000\"]\n  15 [size=\"88794453\", alpha=\"0.18\", expect_size=\"26638336\"] \n  15 -> 16 [size =\"26638336\"]\n  16 [size=\"61556053\", alpha=\"0.08\", expect_size=\"18466816\"] \n  16 -> 17 [size =\"18466816\"]\n  17 [size=\"125562880\", alpha=\"0.05\", expect_size=\"37668864\"] \n  17 -> 18 [size =\"37668864\"]\n  18 [size=\"81093973\", alpha=\"0.01\", expect_size=\"24328192\"] \n  18 -> 19 [size =\"24328192\"]\n  19 [size=\"128866987\", alpha=\"0.16\", expect_size=\"38660096\"] \n  19 -> 20 [size =\"38660096\"]\n  20 [size=\"108223147\", alpha=\"0.01\", expect_size=\"32466944\"] \n  20 -> 21 [size =\"32466944\"]\n  21 [size=\"118278827\", alpha=\"0.02\", expect_size=\"35483648\"] \n  21 -> 22 [size =\"35483648\"]\n  22 [size=\"63511893\", alpha=\"0.16\", expect_size=\"19053568\"] \n  22 -> 23 [size =\"19053568\"]\n  23 [size=\"22080853\", alpha=\"0.01\", expect_size=\"6624256\"] \n  23 -> 24 [size =\"6624256\"]\n  24 [size=\"26808320\", alpha=\"0.20\", expect_size=\"8042496\"] \n  24 -> 25 [size =\"8042496\"]\n  25 [size=\"92426240\", alpha=\"0.00\", expect_size=\"27727872\"] \n  25 -> 26 [size =\"27727872\"]\n  26 [size=\"80008533\", alpha=\"0.09\", expect_size=\"24002560\"] \n  26 -> 27 [size =\"24002560\"]\n  27 [size=\"140881920\", alpha=\"0.05\", expect_size=\"42264576\"] \n  27 -> 28 [size =\"42264576\"]\n  28 [size=\"23937707\", alpha=\"0.09\", expect_size=\"7181312\"] \n  28 -> 29 [size =\"7181312\"]\n  29 [size=\"34979840\", alpha=\"0.02\", expect_size=\"10493952\"] \n  29 -> 30 [size =\"10493952\"]\n  30 [size=\"157893973\", alpha=\"0.05\", expect_size=\"47368192\"] \n  30 -> 31 [size =\"47368192\"]\n  31 [size=\"164911787\", alpha=\"0.13\", expect_size=\"49473536\"] \n  31 -> 32 [size =\"49473536\"]\n  32 [size=\"26132480\", alpha=\"0.08\", expect_size=\"7839744\"] \n  32 -> 33 [size =\"7839744\"]\n  33 [size=\"151463253\", alpha=\"0.08\", expect_size=\"45438976\"] \n  33 -> 34 [size =\"45438976\"]\n  34 [size=\"159979520\", alpha=\"0.03\", expect_size=\"47993856\"] \n  34 -> 35 [size =\"47993856\"]\n  35 [size=\"156777813\", alpha=\"0.06\", expect_size=\"47033344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12550144\", alpha=\"0.20\", expect_size=\"6275072\"] \n  1 -> 3 [size =\"6275072\"]\n  2 [size=\"75806720\", alpha=\"0.06\", expect_size=\"37903360\"] \n  2 -> 3 [size =\"37903360\"]\n  2 -> 4 [size =\"37903360\"]\n  3 [size=\"56748032\", alpha=\"0.11\", expect_size=\"28374016\"] \n  4 [size=\"33304576\", alpha=\"0.08\", expect_size=\"16652288\"] \n  4 -> 5 [size =\"16652288\"]\n  5 [size=\"54669312\", alpha=\"0.20\", expect_size=\"27334656\"] \n  5 -> 6 [size =\"27334656\"]\n  5 -> 7 [size =\"27334656\"]\n  6 [size=\"84174848\", alpha=\"0.00\", expect_size=\"42087424\"] \n  7 [size=\"77727744\", alpha=\"0.02\", expect_size=\"38863872\"] \n  7 -> 8 [size =\"38863872\"]\n  8 [size=\"96821248\", alpha=\"0.15\", expect_size=\"48410624\"] \n  8 -> 9 [size =\"48410624\"]\n  8 -> 10 [size =\"48410624\"]\n  9 [size=\"94130176\", alpha=\"0.17\", expect_size=\"47065088\"] \n  9 -> 11 [size =\"47065088\"]\n  10 [size=\"17958912\", alpha=\"0.10\", expect_size=\"8979456\"] \n  11 [size=\"43876352\", alpha=\"0.07\", expect_size=\"21938176\"] \n  11 -> 12 [size =\"21938176\"]\n  12 [size=\"42315776\", alpha=\"0.18\", expect_size=\"21157888\"] \n  12 -> 13 [size =\"21157888\"]\n  12 -> 14 [size =\"21157888\"]\n  13 [size=\"71010304\", alpha=\"0.08\", expect_size=\"35505152\"] \n  13 -> 15 [size =\"35505152\"]\n  14 [size=\"27654144\", alpha=\"0.01\", expect_size=\"13827072\"] \n  14 -> 15 [size =\"13827072\"]\n  15 [size=\"63137792\", alpha=\"0.01\", expect_size=\"31568896\"] \n  15 -> 16 [size =\"31568896\"]\n  15 -> 17 [size =\"31568896\"]\n  16 [size=\"61739008\", alpha=\"0.01\", expect_size=\"30869504\"] \n  16 -> 18 [size =\"30869504\"]\n  17 [size=\"63528960\", alpha=\"0.05\", expect_size=\"31764480\"] \n  17 -> 18 [size =\"31764480\"]\n  18 [size=\"72718336\", alpha=\"0.16\", expect_size=\"36359168\"] \n  18 -> 19 [size =\"36359168\"]\n  18 -> 20 [size =\"36359168\"]\n  19 [size=\"48572416\", alpha=\"0.08\", expect_size=\"24286208\"] \n  19 -> 21 [size =\"24286208\"]\n  20 [size=\"34668544\", alpha=\"0.08\", expect_size=\"17334272\"] \n  21 [size=\"81874944\", alpha=\"0.09\", expect_size=\"40937472\"] \n  21 -> 22 [size =\"40937472\"]\n  22 [size=\"22028288\", alpha=\"0.03\", expect_size=\"11014144\"] \n  22 -> 23 [size =\"11014144\"]\n  23 [size=\"11941888\", alpha=\"0.07\", expect_size=\"5970944\"] \n  23 -> 24 [size =\"5970944\"]\n  24 [size=\"49784832\", alpha=\"0.16\", expect_size=\"24892416\"] \n  24 -> 25 [size =\"24892416\"]\n  24 -> 26 [size =\"24892416\"]\n  25 [size=\"53106688\", alpha=\"0.14\", expect_size=\"26553344\"] \n  25 -> 27 [size =\"26553344\"]\n  25 -> 28 [size =\"26553344\"]\n  26 [size=\"58382336\", alpha=\"0.08\", expect_size=\"29191168\"] \n  26 -> 27 [size =\"29191168\"]\n  26 -> 28 [size =\"29191168\"]\n  27 [size=\"64802816\", alpha=\"0.16\", expect_size=\"32401408\"] \n  27 -> 29 [size =\"32401408\"]\n  28 [size=\"90695680\", alpha=\"0.03\", expect_size=\"45347840\"] \n  28 -> 29 [size =\"45347840\"]\n  29 [size=\"70946816\", alpha=\"0.07\", expect_size=\"35473408\"] \n  29 -> 30 [size =\"35473408\"]\n  30 [size=\"14848000\", alpha=\"0.12\", expect_size=\"7424000\"] \n  30 -> 31 [size =\"7424000\"]\n  31 [size=\"53059584\", alpha=\"0.05\", expect_size=\"26529792\"] \n  31 -> 32 [size =\"26529792\"]\n  32 [size=\"93274112\", alpha=\"0.05\", expect_size=\"46637056\"] \n  32 -> 33 [size =\"46637056\"]\n  32 -> 34 [size =\"46637056\"]\n  33 [size=\"12068864\", alpha=\"0.17\", expect_size=\"6034432\"] \n  34 [size=\"44449792\", alpha=\"0.13\", expect_size=\"22224896\"] \n  34 -> 35 [size =\"22224896\"]\n  35 [size=\"24492032\", alpha=\"0.00\", expect_size=\"12246016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57516032\", alpha=\"0.09\", expect_size=\"28758016\"] \n  1 -> 7 [size =\"28758016\"]\n  1 -> 8 [size =\"28758016\"]\n  1 -> 9 [size =\"28758016\"]\n  1 -> 10 [size =\"28758016\"]\n  1 -> 11 [size =\"28758016\"]\n  1 -> 14 [size =\"28758016\"]\n  1 -> 16 [size =\"28758016\"]\n  1 -> 20 [size =\"28758016\"]\n  1 -> 21 [size =\"28758016\"]\n  2 [size=\"55898112\", alpha=\"0.20\", expect_size=\"27949056\"] \n  2 -> 7 [size =\"27949056\"]\n  2 -> 9 [size =\"27949056\"]\n  2 -> 10 [size =\"27949056\"]\n  2 -> 11 [size =\"27949056\"]\n  2 -> 11 [size =\"27949056\"]\n  2 -> 14 [size =\"27949056\"]\n  2 -> 15 [size =\"27949056\"]\n  2 -> 16 [size =\"27949056\"]\n  2 -> 21 [size =\"27949056\"]\n  3 [size=\"11974656\", alpha=\"0.05\", expect_size=\"5987328\"] \n  3 -> 7 [size =\"5987328\"]\n  3 -> 9 [size =\"5987328\"]\n  3 -> 13 [size =\"5987328\"]\n  3 -> 14 [size =\"5987328\"]\n  3 -> 15 [size =\"5987328\"]\n  3 -> 16 [size =\"5987328\"]\n  3 -> 17 [size =\"5987328\"]\n  3 -> 20 [size =\"5987328\"]\n  3 -> 21 [size =\"5987328\"]\n  4 [size=\"86366208\", alpha=\"0.12\", expect_size=\"43183104\"] \n  4 -> 9 [size =\"43183104\"]\n  4 -> 13 [size =\"43183104\"]\n  4 -> 13 [size =\"43183104\"]\n  4 -> 15 [size =\"43183104\"]\n  4 -> 19 [size =\"43183104\"]\n  4 -> 21 [size =\"43183104\"]\n  5 [size=\"27514880\", alpha=\"0.07\", expect_size=\"13757440\"] \n  5 -> 9 [size =\"13757440\"]\n  5 -> 10 [size =\"13757440\"]\n  5 -> 15 [size =\"13757440\"]\n  5 -> 15 [size =\"13757440\"]\n  5 -> 18 [size =\"13757440\"]\n  5 -> 21 [size =\"13757440\"]\n  6 [size=\"51120128\", alpha=\"0.06\", expect_size=\"25560064\"] \n  6 -> 7 [size =\"25560064\"]\n  6 -> 9 [size =\"25560064\"]\n  6 -> 11 [size =\"25560064\"]\n  6 -> 12 [size =\"25560064\"]\n  6 -> 15 [size =\"25560064\"]\n  6 -> 18 [size =\"25560064\"]\n  6 -> 19 [size =\"25560064\"]\n  6 -> 20 [size =\"25560064\"]\n  6 -> 21 [size =\"25560064\"]\n  7 [size=\"85958656\", alpha=\"0.05\", expect_size=\"42979328\"] \n  7 -> 22 [size =\"42979328\"]\n  7 -> 24 [size =\"42979328\"]\n  7 -> 28 [size =\"42979328\"]\n  7 -> 30 [size =\"42979328\"]\n  7 -> 31 [size =\"42979328\"]\n  8 [size=\"56868864\", alpha=\"0.08\", expect_size=\"28434432\"] \n  8 -> 22 [size =\"28434432\"]\n  8 -> 24 [size =\"28434432\"]\n  8 -> 25 [size =\"28434432\"]\n  8 -> 28 [size =\"28434432\"]\n  8 -> 29 [size =\"28434432\"]\n  8 -> 30 [size =\"28434432\"]\n  8 -> 31 [size =\"28434432\"]\n  9 [size=\"94451712\", alpha=\"0.01\", expect_size=\"47225856\"] \n  9 -> 22 [size =\"47225856\"]\n  9 -> 24 [size =\"47225856\"]\n  9 -> 27 [size =\"47225856\"]\n  9 -> 29 [size =\"47225856\"]\n  9 -> 29 [size =\"47225856\"]\n  10 [size=\"96004096\", alpha=\"0.08\", expect_size=\"48002048\"] \n  10 -> 23 [size =\"48002048\"]\n  10 -> 24 [size =\"48002048\"]\n  10 -> 27 [size =\"48002048\"]\n  10 -> 28 [size =\"48002048\"]\n  10 -> 29 [size =\"48002048\"]\n  11 [size=\"38780928\", alpha=\"0.03\", expect_size=\"19390464\"] \n  11 -> 22 [size =\"19390464\"]\n  11 -> 24 [size =\"19390464\"]\n  11 -> 27 [size =\"19390464\"]\n  11 -> 28 [size =\"19390464\"]\n  11 -> 31 [size =\"19390464\"]\n  12 [size=\"81297408\", alpha=\"0.18\", expect_size=\"40648704\"] \n  12 -> 24 [size =\"40648704\"]\n  12 -> 27 [size =\"40648704\"]\n  12 -> 27 [size =\"40648704\"]\n  12 -> 30 [size =\"40648704\"]\n  12 -> 31 [size =\"40648704\"]\n  13 [size=\"79820800\", alpha=\"0.05\", expect_size=\"39910400\"] \n  13 -> 26 [size =\"39910400\"]\n  13 -> 28 [size =\"39910400\"]\n  13 -> 29 [size =\"39910400\"]\n  13 -> 31 [size =\"39910400\"]\n  14 [size=\"102191104\", alpha=\"0.06\", expect_size=\"51095552\"] \n  14 -> 22 [size =\"51095552\"]\n  14 -> 26 [size =\"51095552\"]\n  14 -> 27 [size =\"51095552\"]\n  14 -> 28 [size =\"51095552\"]\n  14 -> 29 [size =\"51095552\"]\n  14 -> 31 [size =\"51095552\"]\n  15 [size=\"66783232\", alpha=\"0.00\", expect_size=\"33391616\"] \n  15 -> 24 [size =\"33391616\"]\n  15 -> 26 [size =\"33391616\"]\n  15 -> 27 [size =\"33391616\"]\n  15 -> 29 [size =\"33391616\"]\n  16 [size=\"100927488\", alpha=\"0.05\", expect_size=\"50463744\"] \n  16 -> 27 [size =\"50463744\"]\n  16 -> 28 [size =\"50463744\"]\n  17 [size=\"35436544\", alpha=\"0.03\", expect_size=\"17718272\"] \n  17 -> 22 [size =\"17718272\"]\n  17 -> 24 [size =\"17718272\"]\n  17 -> 27 [size =\"17718272\"]\n  17 -> 28 [size =\"17718272\"]\n  17 -> 29 [size =\"17718272\"]\n  17 -> 31 [size =\"17718272\"]\n  18 [size=\"58048512\", alpha=\"0.09\", expect_size=\"29024256\"] \n  18 -> 22 [size =\"29024256\"]\n  18 -> 27 [size =\"29024256\"]\n  18 -> 27 [size =\"29024256\"]\n  18 -> 29 [size =\"29024256\"]\n  18 -> 31 [size =\"29024256\"]\n  18 -> 31 [size =\"29024256\"]\n  19 [size=\"94056448\", alpha=\"0.03\", expect_size=\"47028224\"] \n  19 -> 22 [size =\"47028224\"]\n  19 -> 24 [size =\"47028224\"]\n  19 -> 27 [size =\"47028224\"]\n  19 -> 29 [size =\"47028224\"]\n  19 -> 31 [size =\"47028224\"]\n  20 [size=\"98287616\", alpha=\"0.12\", expect_size=\"49143808\"] \n  20 -> 24 [size =\"49143808\"]\n  20 -> 27 [size =\"49143808\"]\n  20 -> 29 [size =\"49143808\"]\n  21 [size=\"40599552\", alpha=\"0.12\", expect_size=\"20299776\"] \n  21 -> 22 [size =\"20299776\"]\n  21 -> 24 [size =\"20299776\"]\n  21 -> 26 [size =\"20299776\"]\n  21 -> 28 [size =\"20299776\"]\n  21 -> 31 [size =\"20299776\"]\n  22 [size=\"56494080\", alpha=\"0.01\", expect_size=\"28247040\"] \n  22 -> 32 [size =\"28247040\"]\n  22 -> 35 [size =\"28247040\"]\n  23 [size=\"46297088\", alpha=\"0.11\", expect_size=\"23148544\"] \n  23 -> 34 [size =\"23148544\"]\n  24 [size=\"70248448\", alpha=\"0.16\", expect_size=\"35124224\"] \n  24 -> 34 [size =\"35124224\"]\n  25 [size=\"100519936\", alpha=\"0.05\", expect_size=\"50259968\"] \n  25 -> 35 [size =\"50259968\"]\n  26 [size=\"100790272\", alpha=\"0.03\", expect_size=\"50395136\"] \n  26 -> 34 [size =\"50395136\"]\n  26 -> 35 [size =\"50395136\"]\n  27 [size=\"31383552\", alpha=\"0.17\", expect_size=\"15691776\"] \n  27 -> 33 [size =\"15691776\"]\n  27 -> 35 [size =\"15691776\"]\n  28 [size=\"46929920\", alpha=\"0.01\", expect_size=\"23464960\"] \n  29 [size=\"90597376\", alpha=\"0.02\", expect_size=\"45298688\"] \n  29 -> 34 [size =\"45298688\"]\n  29 -> 35 [size =\"45298688\"]\n  30 [size=\"103184384\", alpha=\"0.02\", expect_size=\"51592192\"] \n  31 [size=\"66766848\", alpha=\"0.07\", expect_size=\"33383424\"] \n  31 -> 33 [size =\"33383424\"]\n  31 -> 35 [size =\"33383424\"]\n  32 [size=\"28377088\", alpha=\"0.08\", expect_size=\"14188544\"] \n  33 [size=\"33427456\", alpha=\"0.03\", expect_size=\"16713728\"] \n  34 [size=\"83406848\", alpha=\"0.18\", expect_size=\"41703424\"] \n  35 [size=\"65452032\", alpha=\"0.04\", expect_size=\"32726016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70403413\", alpha=\"0.01\", expect_size=\"21121024\"] \n  1 -> 8 [size =\"21121024\"]\n  2 [size=\"47001600\", alpha=\"0.08\", expect_size=\"14100480\"] \n  2 -> 6 [size =\"14100480\"]\n  2 -> 7 [size =\"14100480\"]\n  3 [size=\"104342187\", alpha=\"0.11\", expect_size=\"31302656\"] \n  3 -> 4 [size =\"31302656\"]\n  3 -> 5 [size =\"31302656\"]\n  3 -> 6 [size =\"31302656\"]\n  4 [size=\"50926933\", alpha=\"0.15\", expect_size=\"15278080\"] \n  4 -> 13 [size =\"15278080\"]\n  4 -> 15 [size =\"15278080\"]\n  5 [size=\"81711787\", alpha=\"0.14\", expect_size=\"24513536\"] \n  5 -> 10 [size =\"24513536\"]\n  5 -> 11 [size =\"24513536\"]\n  5 -> 15 [size =\"24513536\"]\n  6 [size=\"40174933\", alpha=\"0.19\", expect_size=\"12052480\"] \n  6 -> 9 [size =\"12052480\"]\n  6 -> 10 [size =\"12052480\"]\n  6 -> 11 [size =\"12052480\"]\n  6 -> 12 [size =\"12052480\"]\n  6 -> 15 [size =\"12052480\"]\n  7 [size=\"51961173\", alpha=\"0.12\", expect_size=\"15588352\"] \n  8 [size=\"64638293\", alpha=\"0.16\", expect_size=\"19391488\"] \n  8 -> 11 [size =\"19391488\"]\n  8 -> 13 [size =\"19391488\"]\n  8 -> 14 [size =\"19391488\"]\n  9 [size=\"164676267\", alpha=\"0.07\", expect_size=\"49402880\"] \n  9 -> 19 [size =\"49402880\"]\n  10 [size=\"64993280\", alpha=\"0.11\", expect_size=\"19497984\"] \n  10 -> 17 [size =\"19497984\"]\n  10 -> 18 [size =\"19497984\"]\n  11 [size=\"76182187\", alpha=\"0.04\", expect_size=\"22854656\"] \n  11 -> 17 [size =\"22854656\"]\n  11 -> 18 [size =\"22854656\"]\n  11 -> 20 [size =\"22854656\"]\n  12 [size=\"81650347\", alpha=\"0.05\", expect_size=\"24495104\"] \n  12 -> 18 [size =\"24495104\"]\n  12 -> 18 [size =\"24495104\"]\n  12 -> 19 [size =\"24495104\"]\n  13 [size=\"145807360\", alpha=\"0.16\", expect_size=\"43742208\"] \n  13 -> 17 [size =\"43742208\"]\n  13 -> 18 [size =\"43742208\"]\n  13 -> 20 [size =\"43742208\"]\n  14 [size=\"74147840\", alpha=\"0.11\", expect_size=\"22244352\"] \n  14 -> 19 [size =\"22244352\"]\n  14 -> 20 [size =\"22244352\"]\n  15 [size=\"35706880\", alpha=\"0.19\", expect_size=\"10712064\"] \n  15 -> 16 [size =\"10712064\"]\n  16 [size=\"146995200\", alpha=\"0.13\", expect_size=\"44098560\"] \n  16 -> 22 [size =\"44098560\"]\n  17 [size=\"139666773\", alpha=\"0.19\", expect_size=\"41900032\"] \n  17 -> 22 [size =\"41900032\"]\n  17 -> 23 [size =\"41900032\"]\n  17 -> 24 [size =\"41900032\"]\n  18 [size=\"73543680\", alpha=\"0.15\", expect_size=\"22063104\"] \n  18 -> 23 [size =\"22063104\"]\n  18 -> 24 [size =\"22063104\"]\n  19 [size=\"44390400\", alpha=\"0.10\", expect_size=\"13317120\"] \n  19 -> 21 [size =\"13317120\"]\n  19 -> 23 [size =\"13317120\"]\n  20 [size=\"99580587\", alpha=\"0.19\", expect_size=\"29874176\"] \n  20 -> 22 [size =\"29874176\"]\n  20 -> 24 [size =\"29874176\"]\n  21 [size=\"25098240\", alpha=\"0.15\", expect_size=\"7529472\"] \n  21 -> 25 [size =\"7529472\"]\n  21 -> 27 [size =\"7529472\"]\n  21 -> 28 [size =\"7529472\"]\n  22 [size=\"54022827\", alpha=\"0.15\", expect_size=\"16206848\"] \n  22 -> 26 [size =\"16206848\"]\n  22 -> 30 [size =\"16206848\"]\n  23 [size=\"89910613\", alpha=\"0.05\", expect_size=\"26973184\"] \n  23 -> 28 [size =\"26973184\"]\n  23 -> 29 [size =\"26973184\"]\n  23 -> 30 [size =\"26973184\"]\n  24 [size=\"54968320\", alpha=\"0.01\", expect_size=\"16490496\"] \n  24 -> 25 [size =\"16490496\"]\n  24 -> 26 [size =\"16490496\"]\n  24 -> 28 [size =\"16490496\"]\n  25 [size=\"138792960\", alpha=\"0.04\", expect_size=\"41637888\"] \n  25 -> 31 [size =\"41637888\"]\n  26 [size=\"131812693\", alpha=\"0.10\", expect_size=\"39543808\"] \n  26 -> 31 [size =\"39543808\"]\n  27 [size=\"78977707\", alpha=\"0.00\", expect_size=\"23693312\"] \n  27 -> 31 [size =\"23693312\"]\n  28 [size=\"70799360\", alpha=\"0.17\", expect_size=\"21239808\"] \n  28 -> 32 [size =\"21239808\"]\n  29 [size=\"29579947\", alpha=\"0.12\", expect_size=\"8873984\"] \n  29 -> 32 [size =\"8873984\"]\n  29 -> 33 [size =\"8873984\"]\n  30 [size=\"104905387\", alpha=\"0.13\", expect_size=\"31471616\"] \n  30 -> 31 [size =\"31471616\"]\n  30 -> 32 [size =\"31471616\"]\n  31 [size=\"95959040\", alpha=\"0.02\", expect_size=\"28787712\"] \n  31 -> 35 [size =\"28787712\"]\n  32 [size=\"55674880\", alpha=\"0.19\", expect_size=\"16702464\"] \n  33 [size=\"170868053\", alpha=\"0.12\", expect_size=\"51260416\"] \n  33 -> 34 [size =\"51260416\"]\n  34 [size=\"56541867\", alpha=\"0.13\", expect_size=\"16962560\"] \n  35 [size=\"60730027\", alpha=\"0.15\", expect_size=\"18219008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80971093\", alpha=\"0.03\", expect_size=\"24291328\"] \n  1 -> 2 [size =\"24291328\"]\n  2 [size=\"136168107\", alpha=\"0.00\", expect_size=\"40850432\"] \n  2 -> 3 [size =\"40850432\"]\n  2 -> 4 [size =\"40850432\"]\n  3 [size=\"49612800\", alpha=\"0.11\", expect_size=\"14883840\"] \n  4 [size=\"76950187\", alpha=\"0.04\", expect_size=\"23085056\"] \n  4 -> 5 [size =\"23085056\"]\n  5 [size=\"60330667\", alpha=\"0.13\", expect_size=\"18099200\"] \n  5 -> 6 [size =\"18099200\"]\n  6 [size=\"32453973\", alpha=\"0.03\", expect_size=\"9736192\"] \n  6 -> 7 [size =\"9736192\"]\n  6 -> 8 [size =\"9736192\"]\n  7 [size=\"164877653\", alpha=\"0.04\", expect_size=\"49463296\"] \n  7 -> 10 [size =\"49463296\"]\n  8 [size=\"80387413\", alpha=\"0.09\", expect_size=\"24116224\"] \n  8 -> 9 [size =\"24116224\"]\n  9 [size=\"101478400\", alpha=\"0.19\", expect_size=\"30443520\"] \n  9 -> 12 [size =\"30443520\"]\n  10 [size=\"104963413\", alpha=\"0.07\", expect_size=\"31489024\"] \n  10 -> 11 [size =\"31489024\"]\n  11 [size=\"50964480\", alpha=\"0.10\", expect_size=\"15289344\"] \n  12 [size=\"76369920\", alpha=\"0.08\", expect_size=\"22910976\"] \n  12 -> 13 [size =\"22910976\"]\n  13 [size=\"77277867\", alpha=\"0.15\", expect_size=\"23183360\"] \n  13 -> 14 [size =\"23183360\"]\n  13 -> 15 [size =\"23183360\"]\n  14 [size=\"165133653\", alpha=\"0.07\", expect_size=\"49540096\"] \n  15 [size=\"42349227\", alpha=\"0.13\", expect_size=\"12704768\"] \n  15 -> 16 [size =\"12704768\"]\n  16 [size=\"146469547\", alpha=\"0.19\", expect_size=\"43940864\"] \n  16 -> 17 [size =\"43940864\"]\n  16 -> 18 [size =\"43940864\"]\n  17 [size=\"172858027\", alpha=\"0.15\", expect_size=\"51857408\"] \n  17 -> 19 [size =\"51857408\"]\n  18 [size=\"46489600\", alpha=\"0.10\", expect_size=\"13946880\"] \n  18 -> 19 [size =\"13946880\"]\n  18 -> 20 [size =\"13946880\"]\n  19 [size=\"114117973\", alpha=\"0.06\", expect_size=\"34235392\"] \n  19 -> 21 [size =\"34235392\"]\n  20 [size=\"110025387\", alpha=\"0.04\", expect_size=\"33007616\"] \n  20 -> 21 [size =\"33007616\"]\n  20 -> 22 [size =\"33007616\"]\n  21 [size=\"165061973\", alpha=\"0.10\", expect_size=\"49518592\"] \n  22 [size=\"82694827\", alpha=\"0.11\", expect_size=\"24808448\"] \n  22 -> 23 [size =\"24808448\"]\n  23 [size=\"143964160\", alpha=\"0.16\", expect_size=\"43189248\"] \n  23 -> 24 [size =\"43189248\"]\n  24 [size=\"106618880\", alpha=\"0.09\", expect_size=\"31985664\"] \n  24 -> 25 [size =\"31985664\"]\n  24 -> 26 [size =\"31985664\"]\n  25 [size=\"164379307\", alpha=\"0.07\", expect_size=\"49313792\"] \n  25 -> 27 [size =\"49313792\"]\n  26 [size=\"106175147\", alpha=\"0.08\", expect_size=\"31852544\"] \n  27 [size=\"97167360\", alpha=\"0.07\", expect_size=\"29150208\"] \n  27 -> 28 [size =\"29150208\"]\n  28 [size=\"59849387\", alpha=\"0.14\", expect_size=\"17954816\"] \n  28 -> 29 [size =\"17954816\"]\n  29 [size=\"136188587\", alpha=\"0.11\", expect_size=\"40856576\"] \n  29 -> 30 [size =\"40856576\"]\n  29 -> 31 [size =\"40856576\"]\n  30 [size=\"23156053\", alpha=\"0.00\", expect_size=\"6946816\"] \n  31 [size=\"52029440\", alpha=\"0.13\", expect_size=\"15608832\"] \n  31 -> 32 [size =\"15608832\"]\n  32 [size=\"129024000\", alpha=\"0.14\", expect_size=\"38707200\"] \n  32 -> 33 [size =\"38707200\"]\n  33 [size=\"58255360\", alpha=\"0.02\", expect_size=\"17476608\"] \n  33 -> 34 [size =\"17476608\"]\n  34 [size=\"29149867\", alpha=\"0.09\", expect_size=\"8744960\"] \n  34 -> 35 [size =\"8744960\"]\n  35 [size=\"101188267\", alpha=\"0.19\", expect_size=\"30356480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87744512\", alpha=\"0.02\", expect_size=\"43872256\"] \n  1 -> 14 [size =\"43872256\"]\n  1 -> 15 [size =\"43872256\"]\n  1 -> 16 [size =\"43872256\"]\n  1 -> 19 [size =\"43872256\"]\n  1 -> 22 [size =\"43872256\"]\n  2 [size=\"21975040\", alpha=\"0.11\", expect_size=\"10987520\"] \n  2 -> 15 [size =\"10987520\"]\n  2 -> 22 [size =\"10987520\"]\n  2 -> 23 [size =\"10987520\"]\n  3 [size=\"57513984\", alpha=\"0.07\", expect_size=\"28756992\"] \n  3 -> 16 [size =\"28756992\"]\n  3 -> 18 [size =\"28756992\"]\n  3 -> 23 [size =\"28756992\"]\n  4 [size=\"71995392\", alpha=\"0.10\", expect_size=\"35997696\"] \n  4 -> 17 [size =\"35997696\"]\n  4 -> 20 [size =\"35997696\"]\n  4 -> 23 [size =\"35997696\"]\n  5 [size=\"47341568\", alpha=\"0.15\", expect_size=\"23670784\"] \n  5 -> 17 [size =\"23670784\"]\n  5 -> 18 [size =\"23670784\"]\n  5 -> 21 [size =\"23670784\"]\n  6 [size=\"60545024\", alpha=\"0.04\", expect_size=\"30272512\"] \n  6 -> 21 [size =\"30272512\"]\n  7 [size=\"71096320\", alpha=\"0.03\", expect_size=\"35548160\"] \n  7 -> 17 [size =\"35548160\"]\n  7 -> 20 [size =\"35548160\"]\n  7 -> 23 [size =\"35548160\"]\n  8 [size=\"69904384\", alpha=\"0.11\", expect_size=\"34952192\"] \n  8 -> 17 [size =\"34952192\"]\n  8 -> 18 [size =\"34952192\"]\n  8 -> 20 [size =\"34952192\"]\n  8 -> 23 [size =\"34952192\"]\n  9 [size=\"64157696\", alpha=\"0.11\", expect_size=\"32078848\"] \n  9 -> 14 [size =\"32078848\"]\n  9 -> 17 [size =\"32078848\"]\n  9 -> 18 [size =\"32078848\"]\n  10 [size=\"81922048\", alpha=\"0.17\", expect_size=\"40961024\"] \n  10 -> 17 [size =\"40961024\"]\n  10 -> 17 [size =\"40961024\"]\n  10 -> 18 [size =\"40961024\"]\n  10 -> 20 [size =\"40961024\"]\n  10 -> 21 [size =\"40961024\"]\n  10 -> 23 [size =\"40961024\"]\n  11 [size=\"49989632\", alpha=\"0.09\", expect_size=\"24994816\"] \n  11 -> 14 [size =\"24994816\"]\n  11 -> 17 [size =\"24994816\"]\n  11 -> 18 [size =\"24994816\"]\n  11 -> 20 [size =\"24994816\"]\n  11 -> 22 [size =\"24994816\"]\n  11 -> 23 [size =\"24994816\"]\n  12 [size=\"60061696\", alpha=\"0.04\", expect_size=\"30030848\"] \n  12 -> 15 [size =\"30030848\"]\n  12 -> 16 [size =\"30030848\"]\n  12 -> 18 [size =\"30030848\"]\n  12 -> 23 [size =\"30030848\"]\n  13 [size=\"18434048\", alpha=\"0.06\", expect_size=\"9217024\"] \n  13 -> 15 [size =\"9217024\"]\n  13 -> 16 [size =\"9217024\"]\n  13 -> 17 [size =\"9217024\"]\n  13 -> 19 [size =\"9217024\"]\n  13 -> 21 [size =\"9217024\"]\n  13 -> 23 [size =\"9217024\"]\n  14 [size=\"50151424\", alpha=\"0.08\", expect_size=\"25075712\"] \n  14 -> 26 [size =\"25075712\"]\n  14 -> 27 [size =\"25075712\"]\n  14 -> 27 [size =\"25075712\"]\n  14 -> 28 [size =\"25075712\"]\n  14 -> 30 [size =\"25075712\"]\n  14 -> 31 [size =\"25075712\"]\n  14 -> 32 [size =\"25075712\"]\n  15 [size=\"99225600\", alpha=\"0.14\", expect_size=\"49612800\"] \n  15 -> 25 [size =\"49612800\"]\n  15 -> 30 [size =\"49612800\"]\n  15 -> 32 [size =\"49612800\"]\n  15 -> 34 [size =\"49612800\"]\n  15 -> 35 [size =\"49612800\"]\n  16 [size=\"77682688\", alpha=\"0.12\", expect_size=\"38841344\"] \n  16 -> 24 [size =\"38841344\"]\n  16 -> 25 [size =\"38841344\"]\n  16 -> 27 [size =\"38841344\"]\n  16 -> 30 [size =\"38841344\"]\n  16 -> 31 [size =\"38841344\"]\n  16 -> 32 [size =\"38841344\"]\n  17 [size=\"96632832\", alpha=\"0.03\", expect_size=\"48316416\"] \n  17 -> 25 [size =\"48316416\"]\n  17 -> 28 [size =\"48316416\"]\n  17 -> 29 [size =\"48316416\"]\n  17 -> 30 [size =\"48316416\"]\n  17 -> 32 [size =\"48316416\"]\n  18 [size=\"14811136\", alpha=\"0.00\", expect_size=\"7405568\"] \n  18 -> 27 [size =\"7405568\"]\n  18 -> 31 [size =\"7405568\"]\n  18 -> 32 [size =\"7405568\"]\n  18 -> 33 [size =\"7405568\"]\n  19 [size=\"68044800\", alpha=\"0.10\", expect_size=\"34022400\"] \n  19 -> 24 [size =\"34022400\"]\n  19 -> 25 [size =\"34022400\"]\n  19 -> 34 [size =\"34022400\"]\n  20 [size=\"26810368\", alpha=\"0.12\", expect_size=\"13405184\"] \n  20 -> 25 [size =\"13405184\"]\n  20 -> 28 [size =\"13405184\"]\n  20 -> 31 [size =\"13405184\"]\n  20 -> 33 [size =\"13405184\"]\n  21 [size=\"13027328\", alpha=\"0.11\", expect_size=\"6513664\"] \n  21 -> 27 [size =\"6513664\"]\n  21 -> 30 [size =\"6513664\"]\n  21 -> 31 [size =\"6513664\"]\n  21 -> 33 [size =\"6513664\"]\n  22 [size=\"56389632\", alpha=\"0.13\", expect_size=\"28194816\"] \n  22 -> 27 [size =\"28194816\"]\n  22 -> 30 [size =\"28194816\"]\n  22 -> 31 [size =\"28194816\"]\n  22 -> 33 [size =\"28194816\"]\n  23 [size=\"76650496\", alpha=\"0.04\", expect_size=\"38325248\"] \n  23 -> 25 [size =\"38325248\"]\n  23 -> 26 [size =\"38325248\"]\n  23 -> 27 [size =\"38325248\"]\n  23 -> 30 [size =\"38325248\"]\n  23 -> 32 [size =\"38325248\"]\n  23 -> 35 [size =\"38325248\"]\n  24 [size=\"104220672\", alpha=\"0.09\", expect_size=\"52110336\"] \n  25 [size=\"48826368\", alpha=\"0.01\", expect_size=\"24413184\"] \n  26 [size=\"19656704\", alpha=\"0.04\", expect_size=\"9828352\"] \n  27 [size=\"76494848\", alpha=\"0.20\", expect_size=\"38247424\"] \n  28 [size=\"88862720\", alpha=\"0.08\", expect_size=\"44431360\"] \n  29 [size=\"90126336\", alpha=\"0.08\", expect_size=\"45063168\"] \n  30 [size=\"40730624\", alpha=\"0.03\", expect_size=\"20365312\"] \n  31 [size=\"98324480\", alpha=\"0.06\", expect_size=\"49162240\"] \n  32 [size=\"57049088\", alpha=\"0.20\", expect_size=\"28524544\"] \n  33 [size=\"22769664\", alpha=\"0.15\", expect_size=\"11384832\"] \n  34 [size=\"42514432\", alpha=\"0.19\", expect_size=\"21257216\"] \n  35 [size=\"83423232\", alpha=\"0.01\", expect_size=\"41711616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100554752\", alpha=\"0.11\", expect_size=\"50277376\"] \n  1 -> 17 [size =\"50277376\"]\n  1 -> 23 [size =\"50277376\"]\n  2 [size=\"89610240\", alpha=\"0.13\", expect_size=\"44805120\"] \n  2 -> 12 [size =\"44805120\"]\n  2 -> 15 [size =\"44805120\"]\n  2 -> 16 [size =\"44805120\"]\n  2 -> 23 [size =\"44805120\"]\n  3 [size=\"72890368\", alpha=\"0.03\", expect_size=\"36445184\"] \n  3 -> 12 [size =\"36445184\"]\n  3 -> 15 [size =\"36445184\"]\n  3 -> 17 [size =\"36445184\"]\n  3 -> 21 [size =\"36445184\"]\n  3 -> 23 [size =\"36445184\"]\n  4 [size=\"52645888\", alpha=\"0.10\", expect_size=\"26322944\"] \n  4 -> 12 [size =\"26322944\"]\n  4 -> 19 [size =\"26322944\"]\n  4 -> 21 [size =\"26322944\"]\n  5 [size=\"86048768\", alpha=\"0.06\", expect_size=\"43024384\"] \n  5 -> 12 [size =\"43024384\"]\n  5 -> 14 [size =\"43024384\"]\n  5 -> 15 [size =\"43024384\"]\n  5 -> 16 [size =\"43024384\"]\n  5 -> 17 [size =\"43024384\"]\n  5 -> 18 [size =\"43024384\"]\n  5 -> 23 [size =\"43024384\"]\n  6 [size=\"48812032\", alpha=\"0.17\", expect_size=\"24406016\"] \n  6 -> 12 [size =\"24406016\"]\n  6 -> 16 [size =\"24406016\"]\n  7 [size=\"80130048\", alpha=\"0.17\", expect_size=\"40065024\"] \n  7 -> 12 [size =\"40065024\"]\n  7 -> 15 [size =\"40065024\"]\n  7 -> 16 [size =\"40065024\"]\n  8 [size=\"64628736\", alpha=\"0.09\", expect_size=\"32314368\"] \n  8 -> 13 [size =\"32314368\"]\n  8 -> 14 [size =\"32314368\"]\n  8 -> 15 [size =\"32314368\"]\n  8 -> 16 [size =\"32314368\"]\n  8 -> 17 [size =\"32314368\"]\n  8 -> 20 [size =\"32314368\"]\n  8 -> 21 [size =\"32314368\"]\n  8 -> 23 [size =\"32314368\"]\n  9 [size=\"99371008\", alpha=\"0.13\", expect_size=\"49685504\"] \n  9 -> 16 [size =\"49685504\"]\n  9 -> 21 [size =\"49685504\"]\n  9 -> 23 [size =\"49685504\"]\n  10 [size=\"54632448\", alpha=\"0.06\", expect_size=\"27316224\"] \n  10 -> 14 [size =\"27316224\"]\n  10 -> 18 [size =\"27316224\"]\n  10 -> 20 [size =\"27316224\"]\n  10 -> 22 [size =\"27316224\"]\n  11 [size=\"32262144\", alpha=\"0.15\", expect_size=\"16131072\"] \n  11 -> 14 [size =\"16131072\"]\n  11 -> 15 [size =\"16131072\"]\n  11 -> 17 [size =\"16131072\"]\n  12 [size=\"83570688\", alpha=\"0.02\", expect_size=\"41785344\"] \n  12 -> 31 [size =\"41785344\"]\n  12 -> 32 [size =\"41785344\"]\n  13 [size=\"51892224\", alpha=\"0.04\", expect_size=\"25946112\"] \n  13 -> 31 [size =\"25946112\"]\n  13 -> 34 [size =\"25946112\"]\n  14 [size=\"66365440\", alpha=\"0.18\", expect_size=\"33182720\"] \n  14 -> 27 [size =\"33182720\"]\n  14 -> 31 [size =\"33182720\"]\n  14 -> 35 [size =\"33182720\"]\n  15 [size=\"18753536\", alpha=\"0.11\", expect_size=\"9376768\"] \n  15 -> 24 [size =\"9376768\"]\n  15 -> 25 [size =\"9376768\"]\n  15 -> 27 [size =\"9376768\"]\n  15 -> 28 [size =\"9376768\"]\n  15 -> 32 [size =\"9376768\"]\n  15 -> 34 [size =\"9376768\"]\n  15 -> 35 [size =\"9376768\"]\n  16 [size=\"46231552\", alpha=\"0.05\", expect_size=\"23115776\"] \n  16 -> 34 [size =\"23115776\"]\n  17 [size=\"30636032\", alpha=\"0.14\", expect_size=\"15318016\"] \n  17 -> 28 [size =\"15318016\"]\n  17 -> 30 [size =\"15318016\"]\n  17 -> 32 [size =\"15318016\"]\n  18 [size=\"17655808\", alpha=\"0.00\", expect_size=\"8827904\"] \n  18 -> 32 [size =\"8827904\"]\n  19 [size=\"61865984\", alpha=\"0.03\", expect_size=\"30932992\"] \n  19 -> 25 [size =\"30932992\"]\n  19 -> 27 [size =\"30932992\"]\n  19 -> 28 [size =\"30932992\"]\n  19 -> 32 [size =\"30932992\"]\n  19 -> 34 [size =\"30932992\"]\n  20 [size=\"30976000\", alpha=\"0.13\", expect_size=\"15488000\"] \n  20 -> 25 [size =\"15488000\"]\n  20 -> 26 [size =\"15488000\"]\n  20 -> 33 [size =\"15488000\"]\n  20 -> 34 [size =\"15488000\"]\n  21 [size=\"57993216\", alpha=\"0.02\", expect_size=\"28996608\"] \n  21 -> 28 [size =\"28996608\"]\n  22 [size=\"34942976\", alpha=\"0.09\", expect_size=\"17471488\"] \n  22 -> 35 [size =\"17471488\"]\n  23 [size=\"44001280\", alpha=\"0.08\", expect_size=\"22000640\"] \n  23 -> 24 [size =\"22000640\"]\n  23 -> 26 [size =\"22000640\"]\n  23 -> 27 [size =\"22000640\"]\n  23 -> 28 [size =\"22000640\"]\n  23 -> 29 [size =\"22000640\"]\n  23 -> 30 [size =\"22000640\"]\n  23 -> 32 [size =\"22000640\"]\n  24 [size=\"61593600\", alpha=\"0.16\", expect_size=\"30796800\"] \n  25 [size=\"52498432\", alpha=\"0.00\", expect_size=\"26249216\"] \n  26 [size=\"103090176\", alpha=\"0.13\", expect_size=\"51545088\"] \n  27 [size=\"33327104\", alpha=\"0.00\", expect_size=\"16663552\"] \n  28 [size=\"97755136\", alpha=\"0.19\", expect_size=\"48877568\"] \n  29 [size=\"98568192\", alpha=\"0.16\", expect_size=\"49284096\"] \n  30 [size=\"17299456\", alpha=\"0.03\", expect_size=\"8649728\"] \n  31 [size=\"78880768\", alpha=\"0.15\", expect_size=\"39440384\"] \n  32 [size=\"90269696\", alpha=\"0.02\", expect_size=\"45134848\"] \n  33 [size=\"36214784\", alpha=\"0.17\", expect_size=\"18107392\"] \n  34 [size=\"73496576\", alpha=\"0.05\", expect_size=\"36748288\"] \n  35 [size=\"55531520\", alpha=\"0.14\", expect_size=\"27765760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115668480\", alpha=\"0.07\", expect_size=\"46267392\"] \n  1 -> 17 [size =\"46267392\"]\n  1 -> 18 [size =\"46267392\"]\n  1 -> 19 [size =\"46267392\"]\n  1 -> 20 [size =\"46267392\"]\n  1 -> 21 [size =\"46267392\"]\n  1 -> 25 [size =\"46267392\"]\n  1 -> 26 [size =\"46267392\"]\n  1 -> 27 [size =\"46267392\"]\n  1 -> 28 [size =\"46267392\"]\n  1 -> 29 [size =\"46267392\"]\n  1 -> 33 [size =\"46267392\"]\n  1 -> 35 [size =\"46267392\"]\n  2 [size=\"70512640\", alpha=\"0.19\", expect_size=\"28205056\"] \n  2 -> 17 [size =\"28205056\"]\n  2 -> 18 [size =\"28205056\"]\n  2 -> 19 [size =\"28205056\"]\n  2 -> 22 [size =\"28205056\"]\n  2 -> 23 [size =\"28205056\"]\n  2 -> 27 [size =\"28205056\"]\n  2 -> 33 [size =\"28205056\"]\n  2 -> 35 [size =\"28205056\"]\n  3 [size=\"45747200\", alpha=\"0.02\", expect_size=\"18298880\"] \n  3 -> 15 [size =\"18298880\"]\n  3 -> 16 [size =\"18298880\"]\n  3 -> 17 [size =\"18298880\"]\n  3 -> 18 [size =\"18298880\"]\n  3 -> 19 [size =\"18298880\"]\n  3 -> 25 [size =\"18298880\"]\n  3 -> 27 [size =\"18298880\"]\n  3 -> 28 [size =\"18298880\"]\n  3 -> 29 [size =\"18298880\"]\n  3 -> 30 [size =\"18298880\"]\n  4 [size=\"69562880\", alpha=\"0.16\", expect_size=\"27825152\"] \n  4 -> 19 [size =\"27825152\"]\n  4 -> 21 [size =\"27825152\"]\n  4 -> 25 [size =\"27825152\"]\n  4 -> 26 [size =\"27825152\"]\n  4 -> 28 [size =\"27825152\"]\n  4 -> 30 [size =\"27825152\"]\n  4 -> 33 [size =\"27825152\"]\n  5 [size=\"69749760\", alpha=\"0.20\", expect_size=\"27899904\"] \n  5 -> 18 [size =\"27899904\"]\n  5 -> 19 [size =\"27899904\"]\n  5 -> 22 [size =\"27899904\"]\n  5 -> 23 [size =\"27899904\"]\n  5 -> 25 [size =\"27899904\"]\n  5 -> 26 [size =\"27899904\"]\n  5 -> 28 [size =\"27899904\"]\n  5 -> 30 [size =\"27899904\"]\n  5 -> 32 [size =\"27899904\"]\n  5 -> 34 [size =\"27899904\"]\n  6 [size=\"109972480\", alpha=\"0.01\", expect_size=\"43988992\"] \n  6 -> 18 [size =\"43988992\"]\n  6 -> 19 [size =\"43988992\"]\n  6 -> 21 [size =\"43988992\"]\n  6 -> 22 [size =\"43988992\"]\n  6 -> 23 [size =\"43988992\"]\n  6 -> 25 [size =\"43988992\"]\n  6 -> 26 [size =\"43988992\"]\n  6 -> 27 [size =\"43988992\"]\n  6 -> 28 [size =\"43988992\"]\n  6 -> 30 [size =\"43988992\"]\n  6 -> 35 [size =\"43988992\"]\n  7 [size=\"69824000\", alpha=\"0.07\", expect_size=\"27929600\"] \n  7 -> 17 [size =\"27929600\"]\n  7 -> 18 [size =\"27929600\"]\n  7 -> 19 [size =\"27929600\"]\n  7 -> 21 [size =\"27929600\"]\n  7 -> 22 [size =\"27929600\"]\n  7 -> 23 [size =\"27929600\"]\n  7 -> 25 [size =\"27929600\"]\n  7 -> 26 [size =\"27929600\"]\n  7 -> 27 [size =\"27929600\"]\n  7 -> 30 [size =\"27929600\"]\n  7 -> 32 [size =\"27929600\"]\n  7 -> 33 [size =\"27929600\"]\n  7 -> 35 [size =\"27929600\"]\n  8 [size=\"25589760\", alpha=\"0.06\", expect_size=\"10235904\"] \n  8 -> 15 [size =\"10235904\"]\n  8 -> 17 [size =\"10235904\"]\n  8 -> 18 [size =\"10235904\"]\n  8 -> 19 [size =\"10235904\"]\n  8 -> 22 [size =\"10235904\"]\n  8 -> 23 [size =\"10235904\"]\n  8 -> 24 [size =\"10235904\"]\n  8 -> 26 [size =\"10235904\"]\n  8 -> 27 [size =\"10235904\"]\n  8 -> 28 [size =\"10235904\"]\n  8 -> 30 [size =\"10235904\"]\n  8 -> 31 [size =\"10235904\"]\n  8 -> 32 [size =\"10235904\"]\n  8 -> 35 [size =\"10235904\"]\n  9 [size=\"117959680\", alpha=\"0.16\", expect_size=\"47183872\"] \n  9 -> 16 [size =\"47183872\"]\n  9 -> 17 [size =\"47183872\"]\n  9 -> 19 [size =\"47183872\"]\n  9 -> 19 [size =\"47183872\"]\n  9 -> 24 [size =\"47183872\"]\n  9 -> 25 [size =\"47183872\"]\n  9 -> 26 [size =\"47183872\"]\n  9 -> 27 [size =\"47183872\"]\n  9 -> 28 [size =\"47183872\"]\n  9 -> 29 [size =\"47183872\"]\n  9 -> 30 [size =\"47183872\"]\n  9 -> 32 [size =\"47183872\"]\n  9 -> 32 [size =\"47183872\"]\n  9 -> 33 [size =\"47183872\"]\n  9 -> 34 [size =\"47183872\"]\n  9 -> 35 [size =\"47183872\"]\n  10 [size=\"48593920\", alpha=\"0.18\", expect_size=\"19437568\"] \n  10 -> 17 [size =\"19437568\"]\n  10 -> 20 [size =\"19437568\"]\n  10 -> 21 [size =\"19437568\"]\n  10 -> 24 [size =\"19437568\"]\n  10 -> 25 [size =\"19437568\"]\n  10 -> 25 [size =\"19437568\"]\n  10 -> 26 [size =\"19437568\"]\n  10 -> 29 [size =\"19437568\"]\n  10 -> 30 [size =\"19437568\"]\n  10 -> 33 [size =\"19437568\"]\n  11 [size=\"41423360\", alpha=\"0.10\", expect_size=\"16569344\"] \n  11 -> 17 [size =\"16569344\"]\n  11 -> 18 [size =\"16569344\"]\n  11 -> 20 [size =\"16569344\"]\n  11 -> 21 [size =\"16569344\"]\n  11 -> 24 [size =\"16569344\"]\n  11 -> 25 [size =\"16569344\"]\n  11 -> 26 [size =\"16569344\"]\n  11 -> 30 [size =\"16569344\"]\n  11 -> 30 [size =\"16569344\"]\n  11 -> 34 [size =\"16569344\"]\n  11 -> 35 [size =\"16569344\"]\n  12 [size=\"81159680\", alpha=\"0.01\", expect_size=\"32463872\"] \n  12 -> 18 [size =\"32463872\"]\n  12 -> 18 [size =\"32463872\"]\n  12 -> 21 [size =\"32463872\"]\n  12 -> 23 [size =\"32463872\"]\n  12 -> 26 [size =\"32463872\"]\n  12 -> 27 [size =\"32463872\"]\n  12 -> 34 [size =\"32463872\"]\n  13 [size=\"72842240\", alpha=\"0.08\", expect_size=\"29136896\"] \n  13 -> 17 [size =\"29136896\"]\n  13 -> 19 [size =\"29136896\"]\n  13 -> 23 [size =\"29136896\"]\n  13 -> 25 [size =\"29136896\"]\n  13 -> 26 [size =\"29136896\"]\n  13 -> 32 [size =\"29136896\"]\n  14 [size=\"85629440\", alpha=\"0.03\", expect_size=\"34251776\"] \n  14 -> 17 [size =\"34251776\"]\n  14 -> 18 [size =\"34251776\"]\n  14 -> 19 [size =\"34251776\"]\n  14 -> 23 [size =\"34251776\"]\n  14 -> 25 [size =\"34251776\"]\n  14 -> 26 [size =\"34251776\"]\n  14 -> 27 [size =\"34251776\"]\n  14 -> 28 [size =\"34251776\"]\n  14 -> 29 [size =\"34251776\"]\n  14 -> 30 [size =\"34251776\"]\n  14 -> 33 [size =\"34251776\"]\n  14 -> 35 [size =\"34251776\"]\n  15 [size=\"64360960\", alpha=\"0.08\", expect_size=\"25744384\"] \n  16 [size=\"63715840\", alpha=\"0.03\", expect_size=\"25486336\"] \n  17 [size=\"69283840\", alpha=\"0.00\", expect_size=\"27713536\"] \n  18 [size=\"107791360\", alpha=\"0.11\", expect_size=\"43116544\"] \n  19 [size=\"23280640\", alpha=\"0.08\", expect_size=\"9312256\"] \n  20 [size=\"119372800\", alpha=\"0.12\", expect_size=\"47749120\"] \n  21 [size=\"109376000\", alpha=\"0.14\", expect_size=\"43750400\"] \n  22 [size=\"51635200\", alpha=\"0.05\", expect_size=\"20654080\"] \n  23 [size=\"60116480\", alpha=\"0.02\", expect_size=\"24046592\"] \n  24 [size=\"107752960\", alpha=\"0.08\", expect_size=\"43101184\"] \n  25 [size=\"126031360\", alpha=\"0.04\", expect_size=\"50412544\"] \n  26 [size=\"52561920\", alpha=\"0.16\", expect_size=\"21024768\"] \n  27 [size=\"72944640\", alpha=\"0.18\", expect_size=\"29177856\"] \n  28 [size=\"75673600\", alpha=\"0.03\", expect_size=\"30269440\"] \n  29 [size=\"23869440\", alpha=\"0.04\", expect_size=\"9547776\"] \n  30 [size=\"71009280\", alpha=\"0.12\", expect_size=\"28403712\"] \n  31 [size=\"24586240\", alpha=\"0.05\", expect_size=\"9834496\"] \n  32 [size=\"105131520\", alpha=\"0.09\", expect_size=\"42052608\"] \n  33 [size=\"16156160\", alpha=\"0.04\", expect_size=\"6462464\"] \n  34 [size=\"26232320\", alpha=\"0.10\", expect_size=\"10492928\"] \n  35 [size=\"73853440\", alpha=\"0.06\", expect_size=\"29541376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50763776\", alpha=\"0.02\", expect_size=\"25381888\"] \n  1 -> 29 [size =\"25381888\"]\n  1 -> 31 [size =\"25381888\"]\n  1 -> 32 [size =\"25381888\"]\n  1 -> 34 [size =\"25381888\"]\n  2 [size=\"59889664\", alpha=\"0.04\", expect_size=\"29944832\"] \n  2 -> 28 [size =\"29944832\"]\n  2 -> 31 [size =\"29944832\"]\n  2 -> 32 [size =\"29944832\"]\n  2 -> 34 [size =\"29944832\"]\n  3 [size=\"12638208\", alpha=\"0.19\", expect_size=\"6319104\"] \n  3 -> 27 [size =\"6319104\"]\n  3 -> 28 [size =\"6319104\"]\n  3 -> 32 [size =\"6319104\"]\n  3 -> 34 [size =\"6319104\"]\n  4 [size=\"90253312\", alpha=\"0.11\", expect_size=\"45126656\"] \n  4 -> 30 [size =\"45126656\"]\n  4 -> 32 [size =\"45126656\"]\n  4 -> 32 [size =\"45126656\"]\n  4 -> 34 [size =\"45126656\"]\n  5 [size=\"28260352\", alpha=\"0.20\", expect_size=\"14130176\"] \n  5 -> 28 [size =\"14130176\"]\n  5 -> 29 [size =\"14130176\"]\n  5 -> 30 [size =\"14130176\"]\n  5 -> 31 [size =\"14130176\"]\n  5 -> 32 [size =\"14130176\"]\n  5 -> 34 [size =\"14130176\"]\n  6 [size=\"76210176\", alpha=\"0.19\", expect_size=\"38105088\"] \n  6 -> 28 [size =\"38105088\"]\n  6 -> 30 [size =\"38105088\"]\n  6 -> 30 [size =\"38105088\"]\n  7 [size=\"68597760\", alpha=\"0.17\", expect_size=\"34298880\"] \n  7 -> 27 [size =\"34298880\"]\n  7 -> 28 [size =\"34298880\"]\n  7 -> 30 [size =\"34298880\"]\n  7 -> 31 [size =\"34298880\"]\n  8 [size=\"56827904\", alpha=\"0.17\", expect_size=\"28413952\"] \n  8 -> 28 [size =\"28413952\"]\n  8 -> 31 [size =\"28413952\"]\n  8 -> 34 [size =\"28413952\"]\n  9 [size=\"25368576\", alpha=\"0.17\", expect_size=\"12684288\"] \n  9 -> 30 [size =\"12684288\"]\n  9 -> 31 [size =\"12684288\"]\n  9 -> 34 [size =\"12684288\"]\n  10 [size=\"40058880\", alpha=\"0.09\", expect_size=\"20029440\"] \n  10 -> 29 [size =\"20029440\"]\n  10 -> 30 [size =\"20029440\"]\n  10 -> 31 [size =\"20029440\"]\n  10 -> 32 [size =\"20029440\"]\n  10 -> 34 [size =\"20029440\"]\n  11 [size=\"63043584\", alpha=\"0.15\", expect_size=\"31521792\"] \n  11 -> 29 [size =\"31521792\"]\n  11 -> 31 [size =\"31521792\"]\n  11 -> 32 [size =\"31521792\"]\n  12 [size=\"73039872\", alpha=\"0.15\", expect_size=\"36519936\"] \n  12 -> 29 [size =\"36519936\"]\n  12 -> 31 [size =\"36519936\"]\n  13 [size=\"90636288\", alpha=\"0.06\", expect_size=\"45318144\"] \n  13 -> 27 [size =\"45318144\"]\n  13 -> 28 [size =\"45318144\"]\n  13 -> 29 [size =\"45318144\"]\n  13 -> 30 [size =\"45318144\"]\n  13 -> 31 [size =\"45318144\"]\n  13 -> 33 [size =\"45318144\"]\n  13 -> 34 [size =\"45318144\"]\n  14 [size=\"84762624\", alpha=\"0.02\", expect_size=\"42381312\"] \n  14 -> 28 [size =\"42381312\"]\n  14 -> 29 [size =\"42381312\"]\n  14 -> 31 [size =\"42381312\"]\n  14 -> 32 [size =\"42381312\"]\n  15 [size=\"40951808\", alpha=\"0.16\", expect_size=\"20475904\"] \n  15 -> 29 [size =\"20475904\"]\n  15 -> 30 [size =\"20475904\"]\n  15 -> 32 [size =\"20475904\"]\n  15 -> 33 [size =\"20475904\"]\n  15 -> 34 [size =\"20475904\"]\n  16 [size=\"38705152\", alpha=\"0.19\", expect_size=\"19352576\"] \n  16 -> 29 [size =\"19352576\"]\n  16 -> 32 [size =\"19352576\"]\n  16 -> 34 [size =\"19352576\"]\n  17 [size=\"33859584\", alpha=\"0.12\", expect_size=\"16929792\"] \n  17 -> 28 [size =\"16929792\"]\n  17 -> 31 [size =\"16929792\"]\n  17 -> 32 [size =\"16929792\"]\n  18 [size=\"21667840\", alpha=\"0.05\", expect_size=\"10833920\"] \n  18 -> 28 [size =\"10833920\"]\n  18 -> 31 [size =\"10833920\"]\n  18 -> 32 [size =\"10833920\"]\n  18 -> 33 [size =\"10833920\"]\n  18 -> 34 [size =\"10833920\"]\n  19 [size=\"101492736\", alpha=\"0.15\", expect_size=\"50746368\"] \n  19 -> 28 [size =\"50746368\"]\n  19 -> 31 [size =\"50746368\"]\n  19 -> 34 [size =\"50746368\"]\n  19 -> 35 [size =\"50746368\"]\n  20 [size=\"87597056\", alpha=\"0.19\", expect_size=\"43798528\"] \n  20 -> 28 [size =\"43798528\"]\n  20 -> 29 [size =\"43798528\"]\n  20 -> 32 [size =\"43798528\"]\n  20 -> 33 [size =\"43798528\"]\n  21 [size=\"34930688\", alpha=\"0.11\", expect_size=\"17465344\"] \n  21 -> 28 [size =\"17465344\"]\n  21 -> 32 [size =\"17465344\"]\n  22 [size=\"104120320\", alpha=\"0.13\", expect_size=\"52060160\"] \n  22 -> 30 [size =\"52060160\"]\n  23 [size=\"80476160\", alpha=\"0.16\", expect_size=\"40238080\"] \n  23 -> 28 [size =\"40238080\"]\n  23 -> 29 [size =\"40238080\"]\n  23 -> 32 [size =\"40238080\"]\n  24 [size=\"13291520\", alpha=\"0.16\", expect_size=\"6645760\"] \n  24 -> 30 [size =\"6645760\"]\n  24 -> 32 [size =\"6645760\"]\n  24 -> 32 [size =\"6645760\"]\n  24 -> 34 [size =\"6645760\"]\n  25 [size=\"20680704\", alpha=\"0.20\", expect_size=\"10340352\"] \n  25 -> 28 [size =\"10340352\"]\n  25 -> 29 [size =\"10340352\"]\n  25 -> 33 [size =\"10340352\"]\n  25 -> 34 [size =\"10340352\"]\n  26 [size=\"95156224\", alpha=\"0.17\", expect_size=\"47578112\"] \n  26 -> 29 [size =\"47578112\"]\n  26 -> 29 [size =\"47578112\"]\n  26 -> 31 [size =\"47578112\"]\n  26 -> 34 [size =\"47578112\"]\n  27 [size=\"92628992\", alpha=\"0.07\", expect_size=\"46314496\"] \n  28 [size=\"56473600\", alpha=\"0.07\", expect_size=\"28236800\"] \n  29 [size=\"80173056\", alpha=\"0.10\", expect_size=\"40086528\"] \n  30 [size=\"57241600\", alpha=\"0.19\", expect_size=\"28620800\"] \n  31 [size=\"50933760\", alpha=\"0.19\", expect_size=\"25466880\"] \n  32 [size=\"101533696\", alpha=\"0.13\", expect_size=\"50766848\"] \n  33 [size=\"69699584\", alpha=\"0.03\", expect_size=\"34849792\"] \n  34 [size=\"51959808\", alpha=\"0.10\", expect_size=\"25979904\"] \n  35 [size=\"33708032\", alpha=\"0.02\", expect_size=\"16854016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118302720\", alpha=\"0.16\", expect_size=\"47321088\"] \n  1 -> 2 [size =\"47321088\"]\n  2 [size=\"61419520\", alpha=\"0.06\", expect_size=\"24567808\"] \n  2 -> 3 [size =\"24567808\"]\n  3 [size=\"76183040\", alpha=\"0.07\", expect_size=\"30473216\"] \n  3 -> 4 [size =\"30473216\"]\n  4 [size=\"66805760\", alpha=\"0.00\", expect_size=\"26722304\"] \n  4 -> 5 [size =\"26722304\"]\n  5 [size=\"108608000\", alpha=\"0.04\", expect_size=\"43443200\"] \n  5 -> 6 [size =\"43443200\"]\n  6 [size=\"92884480\", alpha=\"0.03\", expect_size=\"37153792\"] \n  6 -> 7 [size =\"37153792\"]\n  7 [size=\"60674560\", alpha=\"0.03\", expect_size=\"24269824\"] \n  7 -> 8 [size =\"24269824\"]\n  8 [size=\"29524480\", alpha=\"0.07\", expect_size=\"11809792\"] \n  8 -> 9 [size =\"11809792\"]\n  9 [size=\"87559680\", alpha=\"0.06\", expect_size=\"35023872\"] \n  9 -> 10 [size =\"35023872\"]\n  10 [size=\"123855360\", alpha=\"0.04\", expect_size=\"49542144\"] \n  10 -> 11 [size =\"49542144\"]\n  11 [size=\"69724160\", alpha=\"0.11\", expect_size=\"27889664\"] \n  11 -> 12 [size =\"27889664\"]\n  12 [size=\"48747520\", alpha=\"0.15\", expect_size=\"19499008\"] \n  12 -> 13 [size =\"19499008\"]\n  13 [size=\"86568960\", alpha=\"0.15\", expect_size=\"34627584\"] \n  13 -> 14 [size =\"34627584\"]\n  14 [size=\"130344960\", alpha=\"0.05\", expect_size=\"52137984\"] \n  14 -> 15 [size =\"52137984\"]\n  15 [size=\"13427200\", alpha=\"0.11\", expect_size=\"5370880\"] \n  15 -> 16 [size =\"5370880\"]\n  16 [size=\"35443200\", alpha=\"0.11\", expect_size=\"14177280\"] \n  16 -> 17 [size =\"14177280\"]\n  17 [size=\"52029440\", alpha=\"0.16\", expect_size=\"20811776\"] \n  17 -> 18 [size =\"20811776\"]\n  18 [size=\"67601920\", alpha=\"0.08\", expect_size=\"27040768\"] \n  18 -> 19 [size =\"27040768\"]\n  19 [size=\"109537280\", alpha=\"0.19\", expect_size=\"43814912\"] \n  19 -> 20 [size =\"43814912\"]\n  20 [size=\"25459200\", alpha=\"0.13\", expect_size=\"10183680\"] \n  20 -> 21 [size =\"10183680\"]\n  21 [size=\"48192000\", alpha=\"0.05\", expect_size=\"19276800\"] \n  21 -> 22 [size =\"19276800\"]\n  22 [size=\"110146560\", alpha=\"0.06\", expect_size=\"44058624\"] \n  22 -> 23 [size =\"44058624\"]\n  23 [size=\"79951360\", alpha=\"0.17\", expect_size=\"31980544\"] \n  23 -> 24 [size =\"31980544\"]\n  24 [size=\"52070400\", alpha=\"0.17\", expect_size=\"20828160\"] \n  24 -> 25 [size =\"20828160\"]\n  25 [size=\"80954880\", alpha=\"0.13\", expect_size=\"32381952\"] \n  25 -> 26 [size =\"32381952\"]\n  26 [size=\"30648320\", alpha=\"0.03\", expect_size=\"12259328\"] \n  26 -> 27 [size =\"12259328\"]\n  27 [size=\"92608000\", alpha=\"0.01\", expect_size=\"37043200\"] \n  27 -> 28 [size =\"37043200\"]\n  28 [size=\"71603200\", alpha=\"0.01\", expect_size=\"28641280\"] \n  28 -> 29 [size =\"28641280\"]\n  29 [size=\"121538560\", alpha=\"0.15\", expect_size=\"48615424\"] \n  29 -> 30 [size =\"48615424\"]\n  30 [size=\"115481600\", alpha=\"0.07\", expect_size=\"46192640\"] \n  30 -> 31 [size =\"46192640\"]\n  31 [size=\"75632640\", alpha=\"0.08\", expect_size=\"30253056\"] \n  31 -> 32 [size =\"30253056\"]\n  32 [size=\"107189760\", alpha=\"0.16\", expect_size=\"42875904\"] \n  32 -> 33 [size =\"42875904\"]\n  33 [size=\"22535680\", alpha=\"0.16\", expect_size=\"9014272\"] \n  33 -> 34 [size =\"9014272\"]\n  34 [size=\"120680960\", alpha=\"0.16\", expect_size=\"48272384\"] \n  34 -> 35 [size =\"48272384\"]\n  35 [size=\"101427200\", alpha=\"0.16\", expect_size=\"40570880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43656533\", alpha=\"0.12\", expect_size=\"13096960\"] \n  1 -> 4 [size =\"13096960\"]\n  1 -> 5 [size =\"13096960\"]\n  2 [size=\"72768853\", alpha=\"0.19\", expect_size=\"21830656\"] \n  2 -> 4 [size =\"21830656\"]\n  2 -> 6 [size =\"21830656\"]\n  3 [size=\"104806400\", alpha=\"0.17\", expect_size=\"31441920\"] \n  3 -> 4 [size =\"31441920\"]\n  3 -> 6 [size =\"31441920\"]\n  4 [size=\"105895253\", alpha=\"0.05\", expect_size=\"31768576\"] \n  4 -> 8 [size =\"31768576\"]\n  5 [size=\"26910720\", alpha=\"0.02\", expect_size=\"8073216\"] \n  6 [size=\"166533120\", alpha=\"0.04\", expect_size=\"49959936\"] \n  6 -> 7 [size =\"49959936\"]\n  6 -> 9 [size =\"49959936\"]\n  7 [size=\"34908160\", alpha=\"0.01\", expect_size=\"10472448\"] \n  7 -> 10 [size =\"10472448\"]\n  7 -> 11 [size =\"10472448\"]\n  7 -> 12 [size =\"10472448\"]\n  8 [size=\"121166507\", alpha=\"0.03\", expect_size=\"36349952\"] \n  8 -> 10 [size =\"36349952\"]\n  8 -> 11 [size =\"36349952\"]\n  8 -> 12 [size =\"36349952\"]\n  8 -> 13 [size =\"36349952\"]\n  9 [size=\"133386240\", alpha=\"0.14\", expect_size=\"40015872\"] \n  9 -> 11 [size =\"40015872\"]\n  9 -> 13 [size =\"40015872\"]\n  10 [size=\"112482987\", alpha=\"0.16\", expect_size=\"33744896\"] \n  10 -> 14 [size =\"33744896\"]\n  10 -> 16 [size =\"33744896\"]\n  10 -> 17 [size =\"33744896\"]\n  10 -> 18 [size =\"33744896\"]\n  11 [size=\"111735467\", alpha=\"0.19\", expect_size=\"33520640\"] \n  12 [size=\"52282027\", alpha=\"0.09\", expect_size=\"15684608\"] \n  12 -> 17 [size =\"15684608\"]\n  13 [size=\"43086507\", alpha=\"0.14\", expect_size=\"12925952\"] \n  13 -> 15 [size =\"12925952\"]\n  13 -> 16 [size =\"12925952\"]\n  13 -> 17 [size =\"12925952\"]\n  14 [size=\"22958080\", alpha=\"0.07\", expect_size=\"6887424\"] \n  14 -> 20 [size =\"6887424\"]\n  14 -> 22 [size =\"6887424\"]\n  14 -> 24 [size =\"6887424\"]\n  15 [size=\"64273067\", alpha=\"0.20\", expect_size=\"19281920\"] \n  15 -> 20 [size =\"19281920\"]\n  15 -> 22 [size =\"19281920\"]\n  15 -> 23 [size =\"19281920\"]\n  15 -> 24 [size =\"19281920\"]\n  16 [size=\"77025280\", alpha=\"0.14\", expect_size=\"23107584\"] \n  16 -> 22 [size =\"23107584\"]\n  16 -> 23 [size =\"23107584\"]\n  16 -> 23 [size =\"23107584\"]\n  17 [size=\"111093760\", alpha=\"0.17\", expect_size=\"33328128\"] \n  17 -> 19 [size =\"33328128\"]\n  17 -> 21 [size =\"33328128\"]\n  18 [size=\"117753173\", alpha=\"0.01\", expect_size=\"35325952\"] \n  18 -> 19 [size =\"35325952\"]\n  18 -> 20 [size =\"35325952\"]\n  18 -> 22 [size =\"35325952\"]\n  18 -> 23 [size =\"35325952\"]\n  18 -> 24 [size =\"35325952\"]\n  19 [size=\"138318507\", alpha=\"0.13\", expect_size=\"41495552\"] \n  19 -> 26 [size =\"41495552\"]\n  19 -> 27 [size =\"41495552\"]\n  19 -> 29 [size =\"41495552\"]\n  20 [size=\"91132587\", alpha=\"0.14\", expect_size=\"27339776\"] \n  21 [size=\"60480853\", alpha=\"0.19\", expect_size=\"18144256\"] \n  21 -> 25 [size =\"18144256\"]\n  21 -> 29 [size =\"18144256\"]\n  22 [size=\"51988480\", alpha=\"0.11\", expect_size=\"15596544\"] \n  22 -> 25 [size =\"15596544\"]\n  22 -> 26 [size =\"15596544\"]\n  22 -> 28 [size =\"15596544\"]\n  22 -> 29 [size =\"15596544\"]\n  23 [size=\"125347840\", alpha=\"0.14\", expect_size=\"37604352\"] \n  23 -> 26 [size =\"37604352\"]\n  23 -> 29 [size =\"37604352\"]\n  24 [size=\"74984107\", alpha=\"0.08\", expect_size=\"22495232\"] \n  24 -> 26 [size =\"22495232\"]\n  25 [size=\"132464640\", alpha=\"0.03\", expect_size=\"39739392\"] \n  26 [size=\"131310933\", alpha=\"0.18\", expect_size=\"39393280\"] \n  26 -> 30 [size =\"39393280\"]\n  26 -> 31 [size =\"39393280\"]\n  26 -> 32 [size =\"39393280\"]\n  27 [size=\"81158827\", alpha=\"0.14\", expect_size=\"24347648\"] \n  27 -> 30 [size =\"24347648\"]\n  27 -> 32 [size =\"24347648\"]\n  28 [size=\"57777493\", alpha=\"0.04\", expect_size=\"17333248\"] \n  28 -> 32 [size =\"17333248\"]\n  29 [size=\"66126507\", alpha=\"0.09\", expect_size=\"19837952\"] \n  29 -> 30 [size =\"19837952\"]\n  29 -> 32 [size =\"19837952\"]\n  30 [size=\"164819627\", alpha=\"0.05\", expect_size=\"49445888\"] \n  31 [size=\"118227627\", alpha=\"0.14\", expect_size=\"35468288\"] \n  31 -> 33 [size =\"35468288\"]\n  31 -> 34 [size =\"35468288\"]\n  32 [size=\"109817173\", alpha=\"0.07\", expect_size=\"32945152\"] \n  32 -> 33 [size =\"32945152\"]\n  32 -> 34 [size =\"32945152\"]\n  32 -> 35 [size =\"32945152\"]\n  33 [size=\"37597867\", alpha=\"0.03\", expect_size=\"11279360\"] \n  34 [size=\"146182827\", alpha=\"0.00\", expect_size=\"43854848\"] \n  35 [size=\"52135253\", alpha=\"0.03\", expect_size=\"15640576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25533440\", alpha=\"0.03\", expect_size=\"10213376\"] \n  2 [size=\"124546560\", alpha=\"0.02\", expect_size=\"49818624\"] \n  3 [size=\"63047680\", alpha=\"0.02\", expect_size=\"25219072\"] \n  3 -> 9 [size =\"25219072\"]\n  4 [size=\"60160000\", alpha=\"0.10\", expect_size=\"24064000\"] \n  4 -> 6 [size =\"24064000\"]\n  4 -> 8 [size =\"24064000\"]\n  4 -> 9 [size =\"24064000\"]\n  5 [size=\"119915520\", alpha=\"0.11\", expect_size=\"47966208\"] \n  5 -> 7 [size =\"47966208\"]\n  5 -> 8 [size =\"47966208\"]\n  6 [size=\"109962240\", alpha=\"0.13\", expect_size=\"43984896\"] \n  6 -> 11 [size =\"43984896\"]\n  7 [size=\"87851520\", alpha=\"0.17\", expect_size=\"35140608\"] \n  7 -> 13 [size =\"35140608\"]\n  8 [size=\"32839680\", alpha=\"0.12\", expect_size=\"13135872\"] \n  8 -> 10 [size =\"13135872\"]\n  8 -> 12 [size =\"13135872\"]\n  9 [size=\"81730560\", alpha=\"0.12\", expect_size=\"32692224\"] \n  9 -> 12 [size =\"32692224\"]\n  10 [size=\"74334720\", alpha=\"0.07\", expect_size=\"29733888\"] \n  10 -> 15 [size =\"29733888\"]\n  11 [size=\"97382400\", alpha=\"0.14\", expect_size=\"38952960\"] \n  11 -> 16 [size =\"38952960\"]\n  12 [size=\"116293120\", alpha=\"0.07\", expect_size=\"46517248\"] \n  12 -> 14 [size =\"46517248\"]\n  13 [size=\"131015680\", alpha=\"0.06\", expect_size=\"52406272\"] \n  13 -> 14 [size =\"52406272\"]\n  13 -> 15 [size =\"52406272\"]\n  13 -> 16 [size =\"52406272\"]\n  14 [size=\"22243840\", alpha=\"0.05\", expect_size=\"8897536\"] \n  14 -> 18 [size =\"8897536\"]\n  15 [size=\"82557440\", alpha=\"0.19\", expect_size=\"33022976\"] \n  15 -> 17 [size =\"33022976\"]\n  15 -> 18 [size =\"33022976\"]\n  15 -> 19 [size =\"33022976\"]\n  15 -> 20 [size =\"33022976\"]\n  15 -> 21 [size =\"33022976\"]\n  15 -> 22 [size =\"33022976\"]\n  16 [size=\"27768320\", alpha=\"0.17\", expect_size=\"11107328\"] \n  16 -> 19 [size =\"11107328\"]\n  16 -> 20 [size =\"11107328\"]\n  16 -> 21 [size =\"11107328\"]\n  16 -> 22 [size =\"11107328\"]\n  17 [size=\"104527360\", alpha=\"0.07\", expect_size=\"41810944\"] \n  17 -> 23 [size =\"41810944\"]\n  17 -> 24 [size =\"41810944\"]\n  18 [size=\"88005120\", alpha=\"0.15\", expect_size=\"35202048\"] \n  18 -> 25 [size =\"35202048\"]\n  19 [size=\"41930240\", alpha=\"0.06\", expect_size=\"16772096\"] \n  19 -> 23 [size =\"16772096\"]\n  20 [size=\"115496960\", alpha=\"0.14\", expect_size=\"46198784\"] \n  20 -> 25 [size =\"46198784\"]\n  20 -> 26 [size =\"46198784\"]\n  21 [size=\"38720000\", alpha=\"0.04\", expect_size=\"15488000\"] \n  21 -> 26 [size =\"15488000\"]\n  21 -> 27 [size =\"15488000\"]\n  22 [size=\"119723520\", alpha=\"0.13\", expect_size=\"47889408\"] \n  22 -> 25 [size =\"47889408\"]\n  22 -> 26 [size =\"47889408\"]\n  23 [size=\"42188800\", alpha=\"0.10\", expect_size=\"16875520\"] \n  23 -> 30 [size =\"16875520\"]\n  24 [size=\"79856640\", alpha=\"0.15\", expect_size=\"31942656\"] \n  24 -> 28 [size =\"31942656\"]\n  24 -> 32 [size =\"31942656\"]\n  25 [size=\"111723520\", alpha=\"0.18\", expect_size=\"44689408\"] \n  25 -> 29 [size =\"44689408\"]\n  25 -> 32 [size =\"44689408\"]\n  26 [size=\"104755200\", alpha=\"0.18\", expect_size=\"41902080\"] \n  26 -> 29 [size =\"41902080\"]\n  27 [size=\"87086080\", alpha=\"0.10\", expect_size=\"34834432\"] \n  27 -> 29 [size =\"34834432\"]\n  27 -> 31 [size =\"34834432\"]\n  28 [size=\"128885760\", alpha=\"0.06\", expect_size=\"51554304\"] \n  28 -> 33 [size =\"51554304\"]\n  28 -> 34 [size =\"51554304\"]\n  29 [size=\"99120640\", alpha=\"0.13\", expect_size=\"39648256\"] \n  29 -> 35 [size =\"39648256\"]\n  30 [size=\"19328000\", alpha=\"0.11\", expect_size=\"7731200\"] \n  30 -> 33 [size =\"7731200\"]\n  30 -> 35 [size =\"7731200\"]\n  31 [size=\"102794240\", alpha=\"0.03\", expect_size=\"41117696\"] \n  32 [size=\"126018560\", alpha=\"0.12\", expect_size=\"50407424\"] \n  32 -> 33 [size =\"50407424\"]\n  33 [size=\"82475520\", alpha=\"0.02\", expect_size=\"32990208\"] \n  34 [size=\"22108160\", alpha=\"0.13\", expect_size=\"8843264\"] \n  35 [size=\"109936640\", alpha=\"0.15\", expect_size=\"43974656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81617920\", alpha=\"0.02\", expect_size=\"32647168\"] \n  1 -> 2 [size =\"32647168\"]\n  1 -> 3 [size =\"32647168\"]\n  2 [size=\"21803520\", alpha=\"0.01\", expect_size=\"8721408\"] \n  2 -> 4 [size =\"8721408\"]\n  3 [size=\"109729280\", alpha=\"0.11\", expect_size=\"43891712\"] \n  4 [size=\"79603200\", alpha=\"0.14\", expect_size=\"31841280\"] \n  4 -> 5 [size =\"31841280\"]\n  5 [size=\"57182720\", alpha=\"0.03\", expect_size=\"22873088\"] \n  5 -> 6 [size =\"22873088\"]\n  5 -> 7 [size =\"22873088\"]\n  6 [size=\"32478720\", alpha=\"0.13\", expect_size=\"12991488\"] \n  7 [size=\"113297920\", alpha=\"0.12\", expect_size=\"45319168\"] \n  7 -> 8 [size =\"45319168\"]\n  8 [size=\"23052800\", alpha=\"0.10\", expect_size=\"9221120\"] \n  8 -> 9 [size =\"9221120\"]\n  9 [size=\"75980800\", alpha=\"0.07\", expect_size=\"30392320\"] \n  9 -> 10 [size =\"30392320\"]\n  9 -> 11 [size =\"30392320\"]\n  10 [size=\"57523200\", alpha=\"0.13\", expect_size=\"23009280\"] \n  10 -> 12 [size =\"23009280\"]\n  11 [size=\"51737600\", alpha=\"0.11\", expect_size=\"20695040\"] \n  11 -> 12 [size =\"20695040\"]\n  12 [size=\"65958400\", alpha=\"0.19\", expect_size=\"26383360\"] \n  12 -> 13 [size =\"26383360\"]\n  12 -> 14 [size =\"26383360\"]\n  13 [size=\"72793600\", alpha=\"0.02\", expect_size=\"29117440\"] \n  13 -> 16 [size =\"29117440\"]\n  14 [size=\"16903680\", alpha=\"0.10\", expect_size=\"6761472\"] \n  14 -> 15 [size =\"6761472\"]\n  15 [size=\"97489920\", alpha=\"0.04\", expect_size=\"38995968\"] \n  15 -> 17 [size =\"38995968\"]\n  16 [size=\"113269760\", alpha=\"0.03\", expect_size=\"45307904\"] \n  16 -> 17 [size =\"45307904\"]\n  16 -> 18 [size =\"45307904\"]\n  17 [size=\"71334400\", alpha=\"0.16\", expect_size=\"28533760\"] \n  17 -> 19 [size =\"28533760\"]\n  17 -> 20 [size =\"28533760\"]\n  18 [size=\"25105920\", alpha=\"0.19\", expect_size=\"10042368\"] \n  18 -> 19 [size =\"10042368\"]\n  19 [size=\"85278720\", alpha=\"0.20\", expect_size=\"34111488\"] \n  19 -> 21 [size =\"34111488\"]\n  20 [size=\"127185920\", alpha=\"0.12\", expect_size=\"50874368\"] \n  21 [size=\"85253120\", alpha=\"0.16\", expect_size=\"34101248\"] \n  21 -> 22 [size =\"34101248\"]\n  22 [size=\"29294080\", alpha=\"0.01\", expect_size=\"11717632\"] \n  22 -> 23 [size =\"11717632\"]\n  22 -> 24 [size =\"11717632\"]\n  23 [size=\"21821440\", alpha=\"0.03\", expect_size=\"8728576\"] \n  23 -> 25 [size =\"8728576\"]\n  24 [size=\"31482880\", alpha=\"0.16\", expect_size=\"12593152\"] \n  24 -> 25 [size =\"12593152\"]\n  25 [size=\"92800000\", alpha=\"0.17\", expect_size=\"37120000\"] \n  25 -> 26 [size =\"37120000\"]\n  25 -> 27 [size =\"37120000\"]\n  26 [size=\"117962240\", alpha=\"0.01\", expect_size=\"47184896\"] \n  26 -> 29 [size =\"47184896\"]\n  27 [size=\"15367680\", alpha=\"0.01\", expect_size=\"6147072\"] \n  27 -> 28 [size =\"6147072\"]\n  27 -> 29 [size =\"6147072\"]\n  28 [size=\"112616960\", alpha=\"0.04\", expect_size=\"45046784\"] \n  28 -> 30 [size =\"45046784\"]\n  28 -> 31 [size =\"45046784\"]\n  29 [size=\"105006080\", alpha=\"0.17\", expect_size=\"42002432\"] \n  29 -> 31 [size =\"42002432\"]\n  30 [size=\"103398400\", alpha=\"0.18\", expect_size=\"41359360\"] \n  30 -> 33 [size =\"41359360\"]\n  31 [size=\"56476160\", alpha=\"0.05\", expect_size=\"22590464\"] \n  31 -> 32 [size =\"22590464\"]\n  31 -> 33 [size =\"22590464\"]\n  32 [size=\"32747520\", alpha=\"0.01\", expect_size=\"13099008\"] \n  33 [size=\"40913920\", alpha=\"0.07\", expect_size=\"16365568\"] \n  33 -> 34 [size =\"16365568\"]\n  34 [size=\"59630080\", alpha=\"0.14\", expect_size=\"23852032\"] \n  34 -> 35 [size =\"23852032\"]\n  35 [size=\"37429760\", alpha=\"0.16\", expect_size=\"14971904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103741440\", alpha=\"0.15\", expect_size=\"31122432\"] \n  1 -> 2 [size =\"31122432\"]\n  1 -> 3 [size =\"31122432\"]\n  2 [size=\"128525653\", alpha=\"0.16\", expect_size=\"38557696\"] \n  2 -> 4 [size =\"38557696\"]\n  3 [size=\"156419413\", alpha=\"0.14\", expect_size=\"46925824\"] \n  3 -> 5 [size =\"46925824\"]\n  4 [size=\"123033600\", alpha=\"0.18\", expect_size=\"36910080\"] \n  5 [size=\"148391253\", alpha=\"0.04\", expect_size=\"44517376\"] \n  5 -> 6 [size =\"44517376\"]\n  5 -> 7 [size =\"44517376\"]\n  6 [size=\"174520320\", alpha=\"0.16\", expect_size=\"52356096\"] \n  6 -> 8 [size =\"52356096\"]\n  6 -> 9 [size =\"52356096\"]\n  7 [size=\"56432640\", alpha=\"0.04\", expect_size=\"16929792\"] \n  7 -> 9 [size =\"16929792\"]\n  8 [size=\"103724373\", alpha=\"0.02\", expect_size=\"31117312\"] \n  9 [size=\"57586347\", alpha=\"0.16\", expect_size=\"17275904\"] \n  9 -> 10 [size =\"17275904\"]\n  10 [size=\"115411627\", alpha=\"0.02\", expect_size=\"34623488\"] \n  10 -> 11 [size =\"34623488\"]\n  11 [size=\"163222187\", alpha=\"0.11\", expect_size=\"48966656\"] \n  11 -> 12 [size =\"48966656\"]\n  12 [size=\"125197653\", alpha=\"0.19\", expect_size=\"37559296\"] \n  12 -> 13 [size =\"37559296\"]\n  13 [size=\"97617920\", alpha=\"0.18\", expect_size=\"29285376\"] \n  13 -> 14 [size =\"29285376\"]\n  14 [size=\"52312747\", alpha=\"0.11\", expect_size=\"15693824\"] \n  14 -> 15 [size =\"15693824\"]\n  15 [size=\"36058453\", alpha=\"0.11\", expect_size=\"10817536\"] \n  15 -> 16 [size =\"10817536\"]\n  15 -> 17 [size =\"10817536\"]\n  16 [size=\"70079147\", alpha=\"0.15\", expect_size=\"21023744\"] \n  17 [size=\"38580907\", alpha=\"0.15\", expect_size=\"11574272\"] \n  17 -> 18 [size =\"11574272\"]\n  18 [size=\"66798933\", alpha=\"0.12\", expect_size=\"20039680\"] \n  18 -> 19 [size =\"20039680\"]\n  18 -> 20 [size =\"20039680\"]\n  19 [size=\"86251520\", alpha=\"0.11\", expect_size=\"25875456\"] \n  20 [size=\"55596373\", alpha=\"0.16\", expect_size=\"16678912\"] \n  20 -> 21 [size =\"16678912\"]\n  21 [size=\"70539947\", alpha=\"0.13\", expect_size=\"21161984\"] \n  21 -> 22 [size =\"21161984\"]\n  22 [size=\"156972373\", alpha=\"0.04\", expect_size=\"47091712\"] \n  22 -> 23 [size =\"47091712\"]\n  22 -> 24 [size =\"47091712\"]\n  23 [size=\"149248000\", alpha=\"0.13\", expect_size=\"44774400\"] \n  23 -> 26 [size =\"44774400\"]\n  24 [size=\"135922347\", alpha=\"0.15\", expect_size=\"40776704\"] \n  24 -> 25 [size =\"40776704\"]\n  25 [size=\"64907947\", alpha=\"0.13\", expect_size=\"19472384\"] \n  25 -> 27 [size =\"19472384\"]\n  25 -> 28 [size =\"19472384\"]\n  26 [size=\"151671467\", alpha=\"0.12\", expect_size=\"45501440\"] \n  26 -> 27 [size =\"45501440\"]\n  27 [size=\"111725227\", alpha=\"0.15\", expect_size=\"33517568\"] \n  27 -> 29 [size =\"33517568\"]\n  28 [size=\"74591573\", alpha=\"0.10\", expect_size=\"22377472\"] \n  28 -> 29 [size =\"22377472\"]\n  29 [size=\"165147307\", alpha=\"0.09\", expect_size=\"49544192\"] \n  29 -> 30 [size =\"49544192\"]\n  29 -> 31 [size =\"49544192\"]\n  30 [size=\"91760640\", alpha=\"0.01\", expect_size=\"27528192\"] \n  30 -> 32 [size =\"27528192\"]\n  31 [size=\"63784960\", alpha=\"0.12\", expect_size=\"19135488\"] \n  32 [size=\"167485440\", alpha=\"0.16\", expect_size=\"50245632\"] \n  32 -> 33 [size =\"50245632\"]\n  33 [size=\"42059093\", alpha=\"0.11\", expect_size=\"12617728\"] \n  33 -> 34 [size =\"12617728\"]\n  34 [size=\"141021867\", alpha=\"0.10\", expect_size=\"42306560\"] \n  34 -> 35 [size =\"42306560\"]\n  35 [size=\"98071893\", alpha=\"0.11\", expect_size=\"29421568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64532480\", alpha=\"0.09\", expect_size=\"19359744\"] \n  1 -> 25 [size =\"19359744\"]\n  1 -> 26 [size =\"19359744\"]\n  1 -> 30 [size =\"19359744\"]\n  1 -> 34 [size =\"19359744\"]\n  2 [size=\"72813227\", alpha=\"0.05\", expect_size=\"21843968\"] \n  2 -> 21 [size =\"21843968\"]\n  2 -> 26 [size =\"21843968\"]\n  2 -> 29 [size =\"21843968\"]\n  2 -> 30 [size =\"21843968\"]\n  2 -> 31 [size =\"21843968\"]\n  3 [size=\"134120107\", alpha=\"0.14\", expect_size=\"40236032\"] \n  3 -> 29 [size =\"40236032\"]\n  3 -> 30 [size =\"40236032\"]\n  3 -> 32 [size =\"40236032\"]\n  3 -> 33 [size =\"40236032\"]\n  4 [size=\"108014933\", alpha=\"0.10\", expect_size=\"32404480\"] \n  4 -> 22 [size =\"32404480\"]\n  4 -> 24 [size =\"32404480\"]\n  4 -> 25 [size =\"32404480\"]\n  4 -> 26 [size =\"32404480\"]\n  4 -> 27 [size =\"32404480\"]\n  4 -> 28 [size =\"32404480\"]\n  4 -> 29 [size =\"32404480\"]\n  4 -> 30 [size =\"32404480\"]\n  4 -> 34 [size =\"32404480\"]\n  5 [size=\"153070933\", alpha=\"0.07\", expect_size=\"45921280\"] \n  5 -> 23 [size =\"45921280\"]\n  5 -> 25 [size =\"45921280\"]\n  5 -> 25 [size =\"45921280\"]\n  5 -> 27 [size =\"45921280\"]\n  5 -> 27 [size =\"45921280\"]\n  5 -> 29 [size =\"45921280\"]\n  5 -> 30 [size =\"45921280\"]\n  5 -> 34 [size =\"45921280\"]\n  5 -> 34 [size =\"45921280\"]\n  6 [size=\"134826667\", alpha=\"0.13\", expect_size=\"40448000\"] \n  6 -> 24 [size =\"40448000\"]\n  6 -> 28 [size =\"40448000\"]\n  6 -> 29 [size =\"40448000\"]\n  6 -> 34 [size =\"40448000\"]\n  7 [size=\"160464213\", alpha=\"0.09\", expect_size=\"48139264\"] \n  7 -> 21 [size =\"48139264\"]\n  7 -> 27 [size =\"48139264\"]\n  7 -> 28 [size =\"48139264\"]\n  7 -> 29 [size =\"48139264\"]\n  8 [size=\"82868907\", alpha=\"0.10\", expect_size=\"24860672\"] \n  8 -> 21 [size =\"24860672\"]\n  8 -> 23 [size =\"24860672\"]\n  8 -> 24 [size =\"24860672\"]\n  9 [size=\"111609173\", alpha=\"0.20\", expect_size=\"33482752\"] \n  9 -> 24 [size =\"33482752\"]\n  9 -> 28 [size =\"33482752\"]\n  10 [size=\"74127360\", alpha=\"0.05\", expect_size=\"22238208\"] \n  10 -> 24 [size =\"22238208\"]\n  10 -> 26 [size =\"22238208\"]\n  10 -> 28 [size =\"22238208\"]\n  11 [size=\"43502933\", alpha=\"0.10\", expect_size=\"13050880\"] \n  11 -> 22 [size =\"13050880\"]\n  11 -> 23 [size =\"13050880\"]\n  11 -> 24 [size =\"13050880\"]\n  11 -> 25 [size =\"13050880\"]\n  11 -> 26 [size =\"13050880\"]\n  11 -> 28 [size =\"13050880\"]\n  11 -> 30 [size =\"13050880\"]\n  11 -> 31 [size =\"13050880\"]\n  11 -> 34 [size =\"13050880\"]\n  12 [size=\"118152533\", alpha=\"0.15\", expect_size=\"35445760\"] \n  12 -> 24 [size =\"35445760\"]\n  12 -> 26 [size =\"35445760\"]\n  12 -> 28 [size =\"35445760\"]\n  12 -> 30 [size =\"35445760\"]\n  13 [size=\"158938453\", alpha=\"0.04\", expect_size=\"47681536\"] \n  13 -> 22 [size =\"47681536\"]\n  13 -> 24 [size =\"47681536\"]\n  13 -> 26 [size =\"47681536\"]\n  13 -> 29 [size =\"47681536\"]\n  13 -> 34 [size =\"47681536\"]\n  14 [size=\"115674453\", alpha=\"0.03\", expect_size=\"34702336\"] \n  14 -> 24 [size =\"34702336\"]\n  14 -> 24 [size =\"34702336\"]\n  14 -> 26 [size =\"34702336\"]\n  14 -> 32 [size =\"34702336\"]\n  14 -> 34 [size =\"34702336\"]\n  15 [size=\"34676053\", alpha=\"0.17\", expect_size=\"10402816\"] \n  15 -> 21 [size =\"10402816\"]\n  15 -> 30 [size =\"10402816\"]\n  15 -> 31 [size =\"10402816\"]\n  15 -> 34 [size =\"10402816\"]\n  16 [size=\"89146027\", alpha=\"0.03\", expect_size=\"26743808\"] \n  16 -> 25 [size =\"26743808\"]\n  16 -> 26 [size =\"26743808\"]\n  16 -> 27 [size =\"26743808\"]\n  16 -> 28 [size =\"26743808\"]\n  16 -> 29 [size =\"26743808\"]\n  16 -> 30 [size =\"26743808\"]\n  16 -> 32 [size =\"26743808\"]\n  17 [size=\"32600747\", alpha=\"0.08\", expect_size=\"9780224\"] \n  17 -> 24 [size =\"9780224\"]\n  17 -> 25 [size =\"9780224\"]\n  17 -> 29 [size =\"9780224\"]\n  17 -> 30 [size =\"9780224\"]\n  17 -> 32 [size =\"9780224\"]\n  17 -> 34 [size =\"9780224\"]\n  18 [size=\"103454720\", alpha=\"0.19\", expect_size=\"31036416\"] \n  18 -> 24 [size =\"31036416\"]\n  18 -> 28 [size =\"31036416\"]\n  18 -> 29 [size =\"31036416\"]\n  18 -> 30 [size =\"31036416\"]\n  18 -> 34 [size =\"31036416\"]\n  18 -> 34 [size =\"31036416\"]\n  19 [size=\"24767147\", alpha=\"0.16\", expect_size=\"7430144\"] \n  19 -> 22 [size =\"7430144\"]\n  19 -> 24 [size =\"7430144\"]\n  19 -> 26 [size =\"7430144\"]\n  19 -> 27 [size =\"7430144\"]\n  19 -> 28 [size =\"7430144\"]\n  19 -> 29 [size =\"7430144\"]\n  19 -> 30 [size =\"7430144\"]\n  19 -> 31 [size =\"7430144\"]\n  20 [size=\"24719360\", alpha=\"0.10\", expect_size=\"7415808\"] \n  20 -> 22 [size =\"7415808\"]\n  20 -> 24 [size =\"7415808\"]\n  20 -> 25 [size =\"7415808\"]\n  20 -> 26 [size =\"7415808\"]\n  20 -> 28 [size =\"7415808\"]\n  20 -> 29 [size =\"7415808\"]\n  20 -> 30 [size =\"7415808\"]\n  20 -> 31 [size =\"7415808\"]\n  20 -> 34 [size =\"7415808\"]\n  20 -> 35 [size =\"7415808\"]\n  21 [size=\"64890880\", alpha=\"0.10\", expect_size=\"19467264\"] \n  22 [size=\"144698027\", alpha=\"0.16\", expect_size=\"43409408\"] \n  23 [size=\"106390187\", alpha=\"0.18\", expect_size=\"31917056\"] \n  24 [size=\"135065600\", alpha=\"0.11\", expect_size=\"40519680\"] \n  25 [size=\"157460480\", alpha=\"0.02\", expect_size=\"47238144\"] \n  26 [size=\"130771627\", alpha=\"0.07\", expect_size=\"39231488\"] \n  27 [size=\"150719147\", alpha=\"0.11\", expect_size=\"45215744\"] \n  28 [size=\"59412480\", alpha=\"0.03\", expect_size=\"17823744\"] \n  29 [size=\"47947093\", alpha=\"0.07\", expect_size=\"14384128\"] \n  30 [size=\"172141227\", alpha=\"0.18\", expect_size=\"51642368\"] \n  31 [size=\"90907307\", alpha=\"0.12\", expect_size=\"27272192\"] \n  32 [size=\"165877760\", alpha=\"0.19\", expect_size=\"49763328\"] \n  33 [size=\"137813333\", alpha=\"0.05\", expect_size=\"41344000\"] \n  34 [size=\"123361280\", alpha=\"0.02\", expect_size=\"37008384\"] \n  35 [size=\"55773867\", alpha=\"0.02\", expect_size=\"16732160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92190720\", alpha=\"0.11\", expect_size=\"27657216\"] \n  1 -> 2 [size =\"27657216\"]\n  2 [size=\"68887893\", alpha=\"0.03\", expect_size=\"20666368\"] \n  2 -> 3 [size =\"20666368\"]\n  3 [size=\"29088427\", alpha=\"0.08\", expect_size=\"8726528\"] \n  3 -> 4 [size =\"8726528\"]\n  4 [size=\"122272427\", alpha=\"0.01\", expect_size=\"36681728\"] \n  4 -> 5 [size =\"36681728\"]\n  5 [size=\"155999573\", alpha=\"0.04\", expect_size=\"46799872\"] \n  5 -> 6 [size =\"46799872\"]\n  6 [size=\"151336960\", alpha=\"0.03\", expect_size=\"45401088\"] \n  6 -> 7 [size =\"45401088\"]\n  7 [size=\"129931947\", alpha=\"0.02\", expect_size=\"38979584\"] \n  7 -> 8 [size =\"38979584\"]\n  8 [size=\"124910933\", alpha=\"0.18\", expect_size=\"37473280\"] \n  8 -> 9 [size =\"37473280\"]\n  9 [size=\"77250560\", alpha=\"0.16\", expect_size=\"23175168\"] \n  9 -> 10 [size =\"23175168\"]\n  10 [size=\"104362667\", alpha=\"0.03\", expect_size=\"31308800\"] \n  10 -> 11 [size =\"31308800\"]\n  11 [size=\"115083947\", alpha=\"0.06\", expect_size=\"34525184\"] \n  11 -> 12 [size =\"34525184\"]\n  12 [size=\"43298133\", alpha=\"0.17\", expect_size=\"12989440\"] \n  12 -> 13 [size =\"12989440\"]\n  13 [size=\"65959253\", alpha=\"0.15\", expect_size=\"19787776\"] \n  13 -> 14 [size =\"19787776\"]\n  14 [size=\"130938880\", alpha=\"0.10\", expect_size=\"39281664\"] \n  14 -> 15 [size =\"39281664\"]\n  15 [size=\"135321600\", alpha=\"0.11\", expect_size=\"40596480\"] \n  15 -> 16 [size =\"40596480\"]\n  16 [size=\"169915733\", alpha=\"0.02\", expect_size=\"50974720\"] \n  16 -> 17 [size =\"50974720\"]\n  17 [size=\"33372160\", alpha=\"0.08\", expect_size=\"10011648\"] \n  17 -> 18 [size =\"10011648\"]\n  18 [size=\"50906453\", alpha=\"0.13\", expect_size=\"15271936\"] \n  18 -> 19 [size =\"15271936\"]\n  19 [size=\"32034133\", alpha=\"0.09\", expect_size=\"9610240\"] \n  19 -> 20 [size =\"9610240\"]\n  20 [size=\"161556480\", alpha=\"0.08\", expect_size=\"48466944\"] \n  20 -> 21 [size =\"48466944\"]\n  21 [size=\"31679147\", alpha=\"0.15\", expect_size=\"9503744\"] \n  21 -> 22 [size =\"9503744\"]\n  22 [size=\"82271573\", alpha=\"0.10\", expect_size=\"24681472\"] \n  22 -> 23 [size =\"24681472\"]\n  23 [size=\"54790827\", alpha=\"0.06\", expect_size=\"16437248\"] \n  23 -> 24 [size =\"16437248\"]\n  24 [size=\"169990827\", alpha=\"0.15\", expect_size=\"50997248\"] \n  24 -> 25 [size =\"50997248\"]\n  25 [size=\"89705813\", alpha=\"0.01\", expect_size=\"26911744\"] \n  25 -> 26 [size =\"26911744\"]\n  26 [size=\"172547413\", alpha=\"0.05\", expect_size=\"51764224\"] \n  26 -> 27 [size =\"51764224\"]\n  27 [size=\"34730667\", alpha=\"0.03\", expect_size=\"10419200\"] \n  27 -> 28 [size =\"10419200\"]\n  28 [size=\"95429973\", alpha=\"0.15\", expect_size=\"28628992\"] \n  28 -> 29 [size =\"28628992\"]\n  29 [size=\"44189013\", alpha=\"0.14\", expect_size=\"13256704\"] \n  29 -> 30 [size =\"13256704\"]\n  30 [size=\"116517547\", alpha=\"0.05\", expect_size=\"34955264\"] \n  30 -> 31 [size =\"34955264\"]\n  31 [size=\"18353493\", alpha=\"0.08\", expect_size=\"5506048\"] \n  31 -> 32 [size =\"5506048\"]\n  32 [size=\"138984107\", alpha=\"0.14\", expect_size=\"41695232\"] \n  32 -> 33 [size =\"41695232\"]\n  33 [size=\"57965227\", alpha=\"0.06\", expect_size=\"17389568\"] \n  33 -> 34 [size =\"17389568\"]\n  34 [size=\"101481813\", alpha=\"0.13\", expect_size=\"30444544\"] \n  34 -> 35 [size =\"30444544\"]\n  35 [size=\"59757227\", alpha=\"0.14\", expect_size=\"17927168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30720000\", alpha=\"0.14\", expect_size=\"15360000\"] \n  1 -> 9 [size =\"15360000\"]\n  1 -> 10 [size =\"15360000\"]\n  1 -> 15 [size =\"15360000\"]\n  1 -> 17 [size =\"15360000\"]\n  1 -> 18 [size =\"15360000\"]\n  1 -> 19 [size =\"15360000\"]\n  1 -> 20 [size =\"15360000\"]\n  1 -> 22 [size =\"15360000\"]\n  1 -> 24 [size =\"15360000\"]\n  2 [size=\"99547136\", alpha=\"0.15\", expect_size=\"49773568\"] \n  2 -> 11 [size =\"49773568\"]\n  2 -> 16 [size =\"49773568\"]\n  2 -> 20 [size =\"49773568\"]\n  2 -> 21 [size =\"49773568\"]\n  2 -> 22 [size =\"49773568\"]\n  3 [size=\"82950144\", alpha=\"0.01\", expect_size=\"41475072\"] \n  3 -> 11 [size =\"41475072\"]\n  3 -> 18 [size =\"41475072\"]\n  3 -> 20 [size =\"41475072\"]\n  3 -> 21 [size =\"41475072\"]\n  3 -> 22 [size =\"41475072\"]\n  3 -> 25 [size =\"41475072\"]\n  4 [size=\"29177856\", alpha=\"0.11\", expect_size=\"14588928\"] \n  4 -> 10 [size =\"14588928\"]\n  4 -> 12 [size =\"14588928\"]\n  4 -> 15 [size =\"14588928\"]\n  4 -> 20 [size =\"14588928\"]\n  4 -> 21 [size =\"14588928\"]\n  4 -> 22 [size =\"14588928\"]\n  5 [size=\"65200128\", alpha=\"0.02\", expect_size=\"32600064\"] \n  5 -> 11 [size =\"32600064\"]\n  5 -> 14 [size =\"32600064\"]\n  5 -> 15 [size =\"32600064\"]\n  5 -> 19 [size =\"32600064\"]\n  5 -> 21 [size =\"32600064\"]\n  5 -> 24 [size =\"32600064\"]\n  6 [size=\"38432768\", alpha=\"0.00\", expect_size=\"19216384\"] \n  6 -> 9 [size =\"19216384\"]\n  6 -> 11 [size =\"19216384\"]\n  6 -> 14 [size =\"19216384\"]\n  6 -> 15 [size =\"19216384\"]\n  6 -> 19 [size =\"19216384\"]\n  6 -> 21 [size =\"19216384\"]\n  6 -> 22 [size =\"19216384\"]\n  7 [size=\"83300352\", alpha=\"0.09\", expect_size=\"41650176\"] \n  7 -> 9 [size =\"41650176\"]\n  7 -> 14 [size =\"41650176\"]\n  7 -> 14 [size =\"41650176\"]\n  7 -> 15 [size =\"41650176\"]\n  7 -> 16 [size =\"41650176\"]\n  7 -> 18 [size =\"41650176\"]\n  7 -> 20 [size =\"41650176\"]\n  7 -> 22 [size =\"41650176\"]\n  7 -> 25 [size =\"41650176\"]\n  8 [size=\"98115584\", alpha=\"0.03\", expect_size=\"49057792\"] \n  8 -> 12 [size =\"49057792\"]\n  8 -> 13 [size =\"49057792\"]\n  8 -> 14 [size =\"49057792\"]\n  8 -> 16 [size =\"49057792\"]\n  8 -> 20 [size =\"49057792\"]\n  8 -> 23 [size =\"49057792\"]\n  9 [size=\"93868032\", alpha=\"0.04\", expect_size=\"46934016\"] \n  9 -> 26 [size =\"46934016\"]\n  9 -> 28 [size =\"46934016\"]\n  9 -> 29 [size =\"46934016\"]\n  9 -> 30 [size =\"46934016\"]\n  10 [size=\"17582080\", alpha=\"0.04\", expect_size=\"8791040\"] \n  10 -> 26 [size =\"8791040\"]\n  10 -> 29 [size =\"8791040\"]\n  10 -> 30 [size =\"8791040\"]\n  11 [size=\"68102144\", alpha=\"0.09\", expect_size=\"34051072\"] \n  11 -> 26 [size =\"34051072\"]\n  11 -> 28 [size =\"34051072\"]\n  11 -> 29 [size =\"34051072\"]\n  12 [size=\"39471104\", alpha=\"0.18\", expect_size=\"19735552\"] \n  12 -> 30 [size =\"19735552\"]\n  13 [size=\"17653760\", alpha=\"0.13\", expect_size=\"8826880\"] \n  13 -> 26 [size =\"8826880\"]\n  13 -> 27 [size =\"8826880\"]\n  14 [size=\"24303616\", alpha=\"0.09\", expect_size=\"12151808\"] \n  14 -> 30 [size =\"12151808\"]\n  15 [size=\"74577920\", alpha=\"0.15\", expect_size=\"37288960\"] \n  15 -> 28 [size =\"37288960\"]\n  15 -> 29 [size =\"37288960\"]\n  15 -> 30 [size =\"37288960\"]\n  16 [size=\"81862656\", alpha=\"0.10\", expect_size=\"40931328\"] \n  16 -> 26 [size =\"40931328\"]\n  16 -> 27 [size =\"40931328\"]\n  16 -> 28 [size =\"40931328\"]\n  16 -> 29 [size =\"40931328\"]\n  16 -> 30 [size =\"40931328\"]\n  16 -> 31 [size =\"40931328\"]\n  17 [size=\"83673088\", alpha=\"0.08\", expect_size=\"41836544\"] \n  17 -> 26 [size =\"41836544\"]\n  17 -> 27 [size =\"41836544\"]\n  17 -> 28 [size =\"41836544\"]\n  17 -> 29 [size =\"41836544\"]\n  17 -> 31 [size =\"41836544\"]\n  18 [size=\"30611456\", alpha=\"0.17\", expect_size=\"15305728\"] \n  18 -> 26 [size =\"15305728\"]\n  18 -> 27 [size =\"15305728\"]\n  18 -> 29 [size =\"15305728\"]\n  18 -> 29 [size =\"15305728\"]\n  19 [size=\"45598720\", alpha=\"0.10\", expect_size=\"22799360\"] \n  20 [size=\"62142464\", alpha=\"0.01\", expect_size=\"31071232\"] \n  21 [size=\"79939584\", alpha=\"0.18\", expect_size=\"39969792\"] \n  21 -> 28 [size =\"39969792\"]\n  21 -> 29 [size =\"39969792\"]\n  22 [size=\"25954304\", alpha=\"0.13\", expect_size=\"12977152\"] \n  22 -> 28 [size =\"12977152\"]\n  22 -> 29 [size =\"12977152\"]\n  23 [size=\"16195584\", alpha=\"0.03\", expect_size=\"8097792\"] \n  23 -> 29 [size =\"8097792\"]\n  23 -> 30 [size =\"8097792\"]\n  24 [size=\"75270144\", alpha=\"0.17\", expect_size=\"37635072\"] \n  24 -> 26 [size =\"37635072\"]\n  24 -> 29 [size =\"37635072\"]\n  24 -> 31 [size =\"37635072\"]\n  25 [size=\"24483840\", alpha=\"0.03\", expect_size=\"12241920\"] \n  25 -> 26 [size =\"12241920\"]\n  25 -> 28 [size =\"12241920\"]\n  26 [size=\"97513472\", alpha=\"0.15\", expect_size=\"48756736\"] \n  26 -> 32 [size =\"48756736\"]\n  27 [size=\"48711680\", alpha=\"0.03\", expect_size=\"24355840\"] \n  27 -> 34 [size =\"24355840\"]\n  28 [size=\"86048768\", alpha=\"0.08\", expect_size=\"43024384\"] \n  28 -> 32 [size =\"43024384\"]\n  29 [size=\"71706624\", alpha=\"0.12\", expect_size=\"35853312\"] \n  29 -> 33 [size =\"35853312\"]\n  29 -> 35 [size =\"35853312\"]\n  30 [size=\"22738944\", alpha=\"0.17\", expect_size=\"11369472\"] \n  30 -> 32 [size =\"11369472\"]\n  30 -> 33 [size =\"11369472\"]\n  31 [size=\"29814784\", alpha=\"0.14\", expect_size=\"14907392\"] \n  31 -> 33 [size =\"14907392\"]\n  32 [size=\"18796544\", alpha=\"0.18\", expect_size=\"9398272\"] \n  33 [size=\"78747648\", alpha=\"0.03\", expect_size=\"39373824\"] \n  34 [size=\"93388800\", alpha=\"0.11\", expect_size=\"46694400\"] \n  35 [size=\"81414144\", alpha=\"0.12\", expect_size=\"40707072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44636160\", alpha=\"0.14\", expect_size=\"13390848\"] \n  1 -> 21 [size =\"13390848\"]\n  1 -> 22 [size =\"13390848\"]\n  1 -> 24 [size =\"13390848\"]\n  1 -> 27 [size =\"13390848\"]\n  2 [size=\"82783573\", alpha=\"0.02\", expect_size=\"24835072\"] \n  2 -> 18 [size =\"24835072\"]\n  2 -> 20 [size =\"24835072\"]\n  2 -> 22 [size =\"24835072\"]\n  2 -> 24 [size =\"24835072\"]\n  2 -> 28 [size =\"24835072\"]\n  3 [size=\"164382720\", alpha=\"0.01\", expect_size=\"49314816\"] \n  3 -> 16 [size =\"49314816\"]\n  3 -> 21 [size =\"49314816\"]\n  3 -> 22 [size =\"49314816\"]\n  3 -> 24 [size =\"49314816\"]\n  3 -> 27 [size =\"49314816\"]\n  4 [size=\"154019840\", alpha=\"0.06\", expect_size=\"46205952\"] \n  4 -> 16 [size =\"46205952\"]\n  4 -> 21 [size =\"46205952\"]\n  4 -> 22 [size =\"46205952\"]\n  4 -> 25 [size =\"46205952\"]\n  4 -> 27 [size =\"46205952\"]\n  5 [size=\"166280533\", alpha=\"0.17\", expect_size=\"49884160\"] \n  5 -> 15 [size =\"49884160\"]\n  5 -> 16 [size =\"49884160\"]\n  5 -> 22 [size =\"49884160\"]\n  5 -> 25 [size =\"49884160\"]\n  5 -> 27 [size =\"49884160\"]\n  5 -> 28 [size =\"49884160\"]\n  6 [size=\"89296213\", alpha=\"0.17\", expect_size=\"26788864\"] \n  6 -> 15 [size =\"26788864\"]\n  6 -> 16 [size =\"26788864\"]\n  6 -> 25 [size =\"26788864\"]\n  6 -> 27 [size =\"26788864\"]\n  7 [size=\"114889387\", alpha=\"0.13\", expect_size=\"34466816\"] \n  7 -> 16 [size =\"34466816\"]\n  7 -> 19 [size =\"34466816\"]\n  7 -> 21 [size =\"34466816\"]\n  7 -> 24 [size =\"34466816\"]\n  7 -> 26 [size =\"34466816\"]\n  7 -> 27 [size =\"34466816\"]\n  7 -> 28 [size =\"34466816\"]\n  8 [size=\"78359893\", alpha=\"0.07\", expect_size=\"23507968\"] \n  8 -> 15 [size =\"23507968\"]\n  8 -> 20 [size =\"23507968\"]\n  8 -> 21 [size =\"23507968\"]\n  8 -> 23 [size =\"23507968\"]\n  8 -> 28 [size =\"23507968\"]\n  9 [size=\"102120107\", alpha=\"0.05\", expect_size=\"30636032\"] \n  9 -> 16 [size =\"30636032\"]\n  9 -> 19 [size =\"30636032\"]\n  9 -> 20 [size =\"30636032\"]\n  9 -> 22 [size =\"30636032\"]\n  9 -> 24 [size =\"30636032\"]\n  9 -> 25 [size =\"30636032\"]\n  9 -> 28 [size =\"30636032\"]\n  10 [size=\"79370240\", alpha=\"0.01\", expect_size=\"23811072\"] \n  10 -> 19 [size =\"23811072\"]\n  10 -> 22 [size =\"23811072\"]\n  10 -> 25 [size =\"23811072\"]\n  10 -> 27 [size =\"23811072\"]\n  10 -> 28 [size =\"23811072\"]\n  11 [size=\"18971307\", alpha=\"0.02\", expect_size=\"5691392\"] \n  11 -> 16 [size =\"5691392\"]\n  11 -> 18 [size =\"5691392\"]\n  11 -> 19 [size =\"5691392\"]\n  11 -> 21 [size =\"5691392\"]\n  11 -> 24 [size =\"5691392\"]\n  12 [size=\"125603840\", alpha=\"0.13\", expect_size=\"37681152\"] \n  13 [size=\"137574400\", alpha=\"0.09\", expect_size=\"41272320\"] \n  13 -> 17 [size =\"41272320\"]\n  14 [size=\"145288533\", alpha=\"0.05\", expect_size=\"43586560\"] \n  14 -> 26 [size =\"43586560\"]\n  14 -> 28 [size =\"43586560\"]\n  15 [size=\"37437440\", alpha=\"0.13\", expect_size=\"11231232\"] \n  15 -> 29 [size =\"11231232\"]\n  16 [size=\"168762027\", alpha=\"0.06\", expect_size=\"50628608\"] \n  16 -> 34 [size =\"50628608\"]\n  17 [size=\"144732160\", alpha=\"0.19\", expect_size=\"43419648\"] \n  18 [size=\"89262080\", alpha=\"0.07\", expect_size=\"26778624\"] \n  18 -> 29 [size =\"26778624\"]\n  18 -> 32 [size =\"26778624\"]\n  18 -> 33 [size =\"26778624\"]\n  18 -> 35 [size =\"26778624\"]\n  19 [size=\"146339840\", alpha=\"0.08\", expect_size=\"43901952\"] \n  19 -> 29 [size =\"43901952\"]\n  19 -> 33 [size =\"43901952\"]\n  20 [size=\"28402347\", alpha=\"0.07\", expect_size=\"8520704\"] \n  20 -> 29 [size =\"8520704\"]\n  20 -> 30 [size =\"8520704\"]\n  20 -> 34 [size =\"8520704\"]\n  21 [size=\"33925120\", alpha=\"0.10\", expect_size=\"10177536\"] \n  21 -> 32 [size =\"10177536\"]\n  21 -> 34 [size =\"10177536\"]\n  21 -> 35 [size =\"10177536\"]\n  22 [size=\"52053333\", alpha=\"0.01\", expect_size=\"15616000\"] \n  22 -> 29 [size =\"15616000\"]\n  22 -> 33 [size =\"15616000\"]\n  23 [size=\"153698987\", alpha=\"0.10\", expect_size=\"46109696\"] \n  23 -> 29 [size =\"46109696\"]\n  24 [size=\"63986347\", alpha=\"0.18\", expect_size=\"19195904\"] \n  24 -> 29 [size =\"19195904\"]\n  24 -> 34 [size =\"19195904\"]\n  25 [size=\"99717120\", alpha=\"0.04\", expect_size=\"29915136\"] \n  25 -> 32 [size =\"29915136\"]\n  25 -> 34 [size =\"29915136\"]\n  26 [size=\"47052800\", alpha=\"0.19\", expect_size=\"14115840\"] \n  26 -> 31 [size =\"14115840\"]\n  26 -> 32 [size =\"14115840\"]\n  27 [size=\"90938027\", alpha=\"0.06\", expect_size=\"27281408\"] \n  27 -> 31 [size =\"27281408\"]\n  27 -> 32 [size =\"27281408\"]\n  28 [size=\"82913280\", alpha=\"0.01\", expect_size=\"24873984\"] \n  28 -> 33 [size =\"24873984\"]\n  29 [size=\"134396587\", alpha=\"0.08\", expect_size=\"40318976\"] \n  30 [size=\"37710507\", alpha=\"0.01\", expect_size=\"11313152\"] \n  31 [size=\"92644693\", alpha=\"0.15\", expect_size=\"27793408\"] \n  32 [size=\"169079467\", alpha=\"0.03\", expect_size=\"50723840\"] \n  33 [size=\"17745920\", alpha=\"0.06\", expect_size=\"5323776\"] \n  34 [size=\"100130133\", alpha=\"0.06\", expect_size=\"30039040\"] \n  35 [size=\"80916480\", alpha=\"0.08\", expect_size=\"24274944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53784576\", alpha=\"0.07\", expect_size=\"26892288\"] \n  1 -> 2 [size =\"26892288\"]\n  2 [size=\"18438144\", alpha=\"0.19\", expect_size=\"9219072\"] \n  2 -> 3 [size =\"9219072\"]\n  3 [size=\"94681088\", alpha=\"0.13\", expect_size=\"47340544\"] \n  3 -> 4 [size =\"47340544\"]\n  4 [size=\"85995520\", alpha=\"0.10\", expect_size=\"42997760\"] \n  4 -> 5 [size =\"42997760\"]\n  5 [size=\"68052992\", alpha=\"0.08\", expect_size=\"34026496\"] \n  5 -> 6 [size =\"34026496\"]\n  6 [size=\"63170560\", alpha=\"0.12\", expect_size=\"31585280\"] \n  6 -> 7 [size =\"31585280\"]\n  7 [size=\"24381440\", alpha=\"0.20\", expect_size=\"12190720\"] \n  7 -> 8 [size =\"12190720\"]\n  8 [size=\"57749504\", alpha=\"0.19\", expect_size=\"28874752\"] \n  8 -> 9 [size =\"28874752\"]\n  9 [size=\"82614272\", alpha=\"0.12\", expect_size=\"41307136\"] \n  9 -> 10 [size =\"41307136\"]\n  10 [size=\"25135104\", alpha=\"0.09\", expect_size=\"12567552\"] \n  10 -> 11 [size =\"12567552\"]\n  11 [size=\"44902400\", alpha=\"0.09\", expect_size=\"22451200\"] \n  11 -> 12 [size =\"22451200\"]\n  12 [size=\"78258176\", alpha=\"0.13\", expect_size=\"39129088\"] \n  12 -> 13 [size =\"39129088\"]\n  13 [size=\"74944512\", alpha=\"0.15\", expect_size=\"37472256\"] \n  13 -> 14 [size =\"37472256\"]\n  14 [size=\"41461760\", alpha=\"0.02\", expect_size=\"20730880\"] \n  14 -> 15 [size =\"20730880\"]\n  15 [size=\"90718208\", alpha=\"0.07\", expect_size=\"45359104\"] \n  15 -> 16 [size =\"45359104\"]\n  16 [size=\"32069632\", alpha=\"0.02\", expect_size=\"16034816\"] \n  16 -> 17 [size =\"16034816\"]\n  17 [size=\"90800128\", alpha=\"0.15\", expect_size=\"45400064\"] \n  17 -> 18 [size =\"45400064\"]\n  18 [size=\"89608192\", alpha=\"0.14\", expect_size=\"44804096\"] \n  18 -> 19 [size =\"44804096\"]\n  19 [size=\"83802112\", alpha=\"0.11\", expect_size=\"41901056\"] \n  19 -> 20 [size =\"41901056\"]\n  20 [size=\"45070336\", alpha=\"0.18\", expect_size=\"22535168\"] \n  20 -> 21 [size =\"22535168\"]\n  21 [size=\"89049088\", alpha=\"0.14\", expect_size=\"44524544\"] \n  21 -> 22 [size =\"44524544\"]\n  22 [size=\"38717440\", alpha=\"0.12\", expect_size=\"19358720\"] \n  22 -> 23 [size =\"19358720\"]\n  23 [size=\"100978688\", alpha=\"0.07\", expect_size=\"50489344\"] \n  23 -> 24 [size =\"50489344\"]\n  24 [size=\"75663360\", alpha=\"0.19\", expect_size=\"37831680\"] \n  24 -> 25 [size =\"37831680\"]\n  25 [size=\"85880832\", alpha=\"0.03\", expect_size=\"42940416\"] \n  25 -> 26 [size =\"42940416\"]\n  26 [size=\"25139200\", alpha=\"0.18\", expect_size=\"12569600\"] \n  26 -> 27 [size =\"12569600\"]\n  27 [size=\"35123200\", alpha=\"0.16\", expect_size=\"17561600\"] \n  27 -> 28 [size =\"17561600\"]\n  28 [size=\"12079104\", alpha=\"0.03\", expect_size=\"6039552\"] \n  28 -> 29 [size =\"6039552\"]\n  29 [size=\"78247936\", alpha=\"0.07\", expect_size=\"39123968\"] \n  29 -> 30 [size =\"39123968\"]\n  30 [size=\"34795520\", alpha=\"0.13\", expect_size=\"17397760\"] \n  30 -> 31 [size =\"17397760\"]\n  31 [size=\"23947264\", alpha=\"0.07\", expect_size=\"11973632\"] \n  31 -> 32 [size =\"11973632\"]\n  32 [size=\"89001984\", alpha=\"0.15\", expect_size=\"44500992\"] \n  32 -> 33 [size =\"44500992\"]\n  33 [size=\"49172480\", alpha=\"0.16\", expect_size=\"24586240\"] \n  33 -> 34 [size =\"24586240\"]\n  34 [size=\"83025920\", alpha=\"0.05\", expect_size=\"41512960\"] \n  34 -> 35 [size =\"41512960\"]\n  35 [size=\"77328384\", alpha=\"0.10\", expect_size=\"38664192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101014187\", alpha=\"0.09\", expect_size=\"30304256\"] \n  1 -> 34 [size =\"30304256\"]\n  2 [size=\"90473813\", alpha=\"0.16\", expect_size=\"27142144\"] \n  2 -> 33 [size =\"27142144\"]\n  2 -> 34 [size =\"27142144\"]\n  3 [size=\"38345387\", alpha=\"0.19\", expect_size=\"11503616\"] \n  3 -> 34 [size =\"11503616\"]\n  3 -> 35 [size =\"11503616\"]\n  4 [size=\"122525013\", alpha=\"0.13\", expect_size=\"36757504\"] \n  4 -> 33 [size =\"36757504\"]\n  4 -> 34 [size =\"36757504\"]\n  4 -> 35 [size =\"36757504\"]\n  5 [size=\"44277760\", alpha=\"0.17\", expect_size=\"13283328\"] \n  5 -> 32 [size =\"13283328\"]\n  5 -> 34 [size =\"13283328\"]\n  6 [size=\"52681387\", alpha=\"0.05\", expect_size=\"15804416\"] \n  6 -> 32 [size =\"15804416\"]\n  6 -> 34 [size =\"15804416\"]\n  7 [size=\"58279253\", alpha=\"0.16\", expect_size=\"17483776\"] \n  7 -> 32 [size =\"17483776\"]\n  7 -> 35 [size =\"17483776\"]\n  8 [size=\"132662613\", alpha=\"0.16\", expect_size=\"39798784\"] \n  8 -> 33 [size =\"39798784\"]\n  8 -> 35 [size =\"39798784\"]\n  9 [size=\"108141227\", alpha=\"0.11\", expect_size=\"32442368\"] \n  10 [size=\"165399893\", alpha=\"0.07\", expect_size=\"49619968\"] \n  11 [size=\"19121493\", alpha=\"0.05\", expect_size=\"5736448\"] \n  12 [size=\"93726720\", alpha=\"0.10\", expect_size=\"28118016\"] \n  12 -> 32 [size =\"28118016\"]\n  12 -> 35 [size =\"28118016\"]\n  13 [size=\"58644480\", alpha=\"0.14\", expect_size=\"17593344\"] \n  13 -> 33 [size =\"17593344\"]\n  13 -> 34 [size =\"17593344\"]\n  14 [size=\"51906560\", alpha=\"0.06\", expect_size=\"15571968\"] \n  14 -> 33 [size =\"15571968\"]\n  14 -> 34 [size =\"15571968\"]\n  15 [size=\"152545280\", alpha=\"0.09\", expect_size=\"45763584\"] \n  15 -> 32 [size =\"45763584\"]\n  15 -> 34 [size =\"45763584\"]\n  15 -> 35 [size =\"45763584\"]\n  16 [size=\"127375360\", alpha=\"0.10\", expect_size=\"38212608\"] \n  16 -> 34 [size =\"38212608\"]\n  16 -> 34 [size =\"38212608\"]\n  17 [size=\"170298027\", alpha=\"0.15\", expect_size=\"51089408\"] \n  17 -> 34 [size =\"51089408\"]\n  18 [size=\"135215787\", alpha=\"0.17\", expect_size=\"40564736\"] \n  19 [size=\"104516267\", alpha=\"0.05\", expect_size=\"31354880\"] \n  19 -> 34 [size =\"31354880\"]\n  20 [size=\"31836160\", alpha=\"0.13\", expect_size=\"9550848\"] \n  20 -> 34 [size =\"9550848\"]\n  20 -> 35 [size =\"9550848\"]\n  21 [size=\"85835093\", alpha=\"0.11\", expect_size=\"25750528\"] \n  22 [size=\"128948907\", alpha=\"0.19\", expect_size=\"38684672\"] \n  23 [size=\"52114773\", alpha=\"0.10\", expect_size=\"15634432\"] \n  24 [size=\"165085867\", alpha=\"0.14\", expect_size=\"49525760\"] \n  24 -> 34 [size =\"49525760\"]\n  25 [size=\"56473600\", alpha=\"0.01\", expect_size=\"16942080\"] \n  25 -> 32 [size =\"16942080\"]\n  25 -> 34 [size =\"16942080\"]\n  26 [size=\"125300053\", alpha=\"0.13\", expect_size=\"37590016\"] \n  26 -> 34 [size =\"37590016\"]\n  27 [size=\"47534080\", alpha=\"0.10\", expect_size=\"14260224\"] \n  27 -> 34 [size =\"14260224\"]\n  27 -> 35 [size =\"14260224\"]\n  28 [size=\"166246400\", alpha=\"0.02\", expect_size=\"49873920\"] \n  28 -> 33 [size =\"49873920\"]\n  28 -> 34 [size =\"49873920\"]\n  28 -> 35 [size =\"49873920\"]\n  29 [size=\"141800107\", alpha=\"0.05\", expect_size=\"42540032\"] \n  29 -> 33 [size =\"42540032\"]\n  29 -> 34 [size =\"42540032\"]\n  30 [size=\"21811200\", alpha=\"0.07\", expect_size=\"6543360\"] \n  30 -> 33 [size =\"6543360\"]\n  31 [size=\"122511360\", alpha=\"0.10\", expect_size=\"36753408\"] \n  31 -> 33 [size =\"36753408\"]\n  31 -> 35 [size =\"36753408\"]\n  32 [size=\"55572480\", alpha=\"0.02\", expect_size=\"16671744\"] \n  33 [size=\"51288747\", alpha=\"0.19\", expect_size=\"15386624\"] \n  34 [size=\"130525867\", alpha=\"0.00\", expect_size=\"39157760\"] \n  35 [size=\"83759787\", alpha=\"0.19\", expect_size=\"25127936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67700053\", alpha=\"0.14\", expect_size=\"20310016\"] \n  1 -> 4 [size =\"20310016\"]\n  2 [size=\"70406827\", alpha=\"0.10\", expect_size=\"21122048\"] \n  2 -> 3 [size =\"21122048\"]\n  2 -> 4 [size =\"21122048\"]\n  3 [size=\"155398827\", alpha=\"0.09\", expect_size=\"46619648\"] \n  3 -> 5 [size =\"46619648\"]\n  3 -> 6 [size =\"46619648\"]\n  4 [size=\"128631467\", alpha=\"0.06\", expect_size=\"38589440\"] \n  4 -> 5 [size =\"38589440\"]\n  4 -> 6 [size =\"38589440\"]\n  5 [size=\"60218027\", alpha=\"0.20\", expect_size=\"18065408\"] \n  5 -> 7 [size =\"18065408\"]\n  6 [size=\"107796480\", alpha=\"0.06\", expect_size=\"32338944\"] \n  6 -> 7 [size =\"32338944\"]\n  7 [size=\"139540480\", alpha=\"0.07\", expect_size=\"41862144\"] \n  7 -> 8 [size =\"41862144\"]\n  7 -> 9 [size =\"41862144\"]\n  8 [size=\"27361280\", alpha=\"0.10\", expect_size=\"8208384\"] \n  8 -> 10 [size =\"8208384\"]\n  8 -> 11 [size =\"8208384\"]\n  9 [size=\"90135893\", alpha=\"0.05\", expect_size=\"27040768\"] \n  9 -> 10 [size =\"27040768\"]\n  10 [size=\"34304000\", alpha=\"0.15\", expect_size=\"10291200\"] \n  10 -> 12 [size =\"10291200\"]\n  10 -> 13 [size =\"10291200\"]\n  11 [size=\"56579413\", alpha=\"0.01\", expect_size=\"16973824\"] \n  11 -> 12 [size =\"16973824\"]\n  11 -> 13 [size =\"16973824\"]\n  12 [size=\"168813227\", alpha=\"0.10\", expect_size=\"50643968\"] \n  12 -> 14 [size =\"50643968\"]\n  12 -> 15 [size =\"50643968\"]\n  13 [size=\"93187413\", alpha=\"0.16\", expect_size=\"27956224\"] \n  13 -> 14 [size =\"27956224\"]\n  13 -> 15 [size =\"27956224\"]\n  14 [size=\"165376000\", alpha=\"0.11\", expect_size=\"49612800\"] \n  14 -> 16 [size =\"49612800\"]\n  15 [size=\"51851947\", alpha=\"0.03\", expect_size=\"15555584\"] \n  15 -> 16 [size =\"15555584\"]\n  16 [size=\"50752853\", alpha=\"0.01\", expect_size=\"15225856\"] \n  16 -> 17 [size =\"15225856\"]\n  17 [size=\"100891307\", alpha=\"0.08\", expect_size=\"30267392\"] \n  17 -> 18 [size =\"30267392\"]\n  18 [size=\"152616960\", alpha=\"0.01\", expect_size=\"45785088\"] \n  18 -> 19 [size =\"45785088\"]\n  19 [size=\"73987413\", alpha=\"0.09\", expect_size=\"22196224\"] \n  19 -> 20 [size =\"22196224\"]\n  20 [size=\"116384427\", alpha=\"0.14\", expect_size=\"34915328\"] \n  20 -> 21 [size =\"34915328\"]\n  21 [size=\"78783147\", alpha=\"0.05\", expect_size=\"23634944\"] \n  21 -> 22 [size =\"23634944\"]\n  22 [size=\"89640960\", alpha=\"0.03\", expect_size=\"26892288\"] \n  22 -> 23 [size =\"26892288\"]\n  23 [size=\"170212693\", alpha=\"0.19\", expect_size=\"51063808\"] \n  23 -> 24 [size =\"51063808\"]\n  24 [size=\"138485760\", alpha=\"0.09\", expect_size=\"41545728\"] \n  24 -> 25 [size =\"41545728\"]\n  25 [size=\"66338133\", alpha=\"0.04\", expect_size=\"19901440\"] \n  25 -> 26 [size =\"19901440\"]\n  25 -> 27 [size =\"19901440\"]\n  26 [size=\"89651200\", alpha=\"0.10\", expect_size=\"26895360\"] \n  26 -> 28 [size =\"26895360\"]\n  26 -> 29 [size =\"26895360\"]\n  27 [size=\"94907733\", alpha=\"0.12\", expect_size=\"28472320\"] \n  27 -> 28 [size =\"28472320\"]\n  27 -> 29 [size =\"28472320\"]\n  28 [size=\"157610667\", alpha=\"0.16\", expect_size=\"47283200\"] \n  28 -> 31 [size =\"47283200\"]\n  29 [size=\"166498987\", alpha=\"0.08\", expect_size=\"49949696\"] \n  29 -> 30 [size =\"49949696\"]\n  29 -> 31 [size =\"49949696\"]\n  30 [size=\"80544427\", alpha=\"0.03\", expect_size=\"24163328\"] \n  30 -> 32 [size =\"24163328\"]\n  30 -> 33 [size =\"24163328\"]\n  31 [size=\"33112747\", alpha=\"0.03\", expect_size=\"9933824\"] \n  31 -> 33 [size =\"9933824\"]\n  32 [size=\"74427733\", alpha=\"0.02\", expect_size=\"22328320\"] \n  32 -> 34 [size =\"22328320\"]\n  33 [size=\"100136960\", alpha=\"0.10\", expect_size=\"30041088\"] \n  33 -> 34 [size =\"30041088\"]\n  34 [size=\"90880000\", alpha=\"0.18\", expect_size=\"27264000\"] \n  34 -> 35 [size =\"27264000\"]\n  35 [size=\"157808640\", alpha=\"0.10\", expect_size=\"47342592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19976192\", alpha=\"0.00\", expect_size=\"9988096\"] \n  1 -> 13 [size =\"9988096\"]\n  1 -> 27 [size =\"9988096\"]\n  2 [size=\"66170880\", alpha=\"0.08\", expect_size=\"33085440\"] \n  2 -> 17 [size =\"33085440\"]\n  2 -> 20 [size =\"33085440\"]\n  3 [size=\"53188608\", alpha=\"0.11\", expect_size=\"26594304\"] \n  3 -> 17 [size =\"26594304\"]\n  3 -> 22 [size =\"26594304\"]\n  3 -> 27 [size =\"26594304\"]\n  4 [size=\"37709824\", alpha=\"0.05\", expect_size=\"18854912\"] \n  4 -> 15 [size =\"18854912\"]\n  4 -> 16 [size =\"18854912\"]\n  4 -> 17 [size =\"18854912\"]\n  4 -> 19 [size =\"18854912\"]\n  4 -> 21 [size =\"18854912\"]\n  4 -> 22 [size =\"18854912\"]\n  4 -> 27 [size =\"18854912\"]\n  5 [size=\"31131648\", alpha=\"0.09\", expect_size=\"15565824\"] \n  5 -> 16 [size =\"15565824\"]\n  5 -> 17 [size =\"15565824\"]\n  5 -> 19 [size =\"15565824\"]\n  5 -> 21 [size =\"15565824\"]\n  5 -> 22 [size =\"15565824\"]\n  5 -> 22 [size =\"15565824\"]\n  5 -> 26 [size =\"15565824\"]\n  6 [size=\"70297600\", alpha=\"0.06\", expect_size=\"35148800\"] \n  6 -> 15 [size =\"35148800\"]\n  6 -> 19 [size =\"35148800\"]\n  6 -> 19 [size =\"35148800\"]\n  6 -> 21 [size =\"35148800\"]\n  6 -> 23 [size =\"35148800\"]\n  6 -> 24 [size =\"35148800\"]\n  6 -> 26 [size =\"35148800\"]\n  7 [size=\"54456320\", alpha=\"0.08\", expect_size=\"27228160\"] \n  7 -> 16 [size =\"27228160\"]\n  7 -> 19 [size =\"27228160\"]\n  7 -> 21 [size =\"27228160\"]\n  7 -> 23 [size =\"27228160\"]\n  7 -> 25 [size =\"27228160\"]\n  7 -> 26 [size =\"27228160\"]\n  8 [size=\"85006336\", alpha=\"0.13\", expect_size=\"42503168\"] \n  8 -> 21 [size =\"42503168\"]\n  8 -> 23 [size =\"42503168\"]\n  8 -> 25 [size =\"42503168\"]\n  8 -> 27 [size =\"42503168\"]\n  9 [size=\"33169408\", alpha=\"0.03\", expect_size=\"16584704\"] \n  9 -> 19 [size =\"16584704\"]\n  9 -> 23 [size =\"16584704\"]\n  9 -> 25 [size =\"16584704\"]\n  10 [size=\"69335040\", alpha=\"0.18\", expect_size=\"34667520\"] \n  10 -> 15 [size =\"34667520\"]\n  10 -> 17 [size =\"34667520\"]\n  10 -> 23 [size =\"34667520\"]\n  10 -> 24 [size =\"34667520\"]\n  10 -> 26 [size =\"34667520\"]\n  10 -> 27 [size =\"34667520\"]\n  11 [size=\"16205824\", alpha=\"0.02\", expect_size=\"8102912\"] \n  11 -> 14 [size =\"8102912\"]\n  11 -> 15 [size =\"8102912\"]\n  11 -> 17 [size =\"8102912\"]\n  11 -> 22 [size =\"8102912\"]\n  12 [size=\"17031168\", alpha=\"0.08\", expect_size=\"8515584\"] \n  12 -> 15 [size =\"8515584\"]\n  12 -> 18 [size =\"8515584\"]\n  12 -> 20 [size =\"8515584\"]\n  12 -> 23 [size =\"8515584\"]\n  12 -> 27 [size =\"8515584\"]\n  13 [size=\"56264704\", alpha=\"0.15\", expect_size=\"28132352\"] \n  13 -> 32 [size =\"28132352\"]\n  14 [size=\"11722752\", alpha=\"0.18\", expect_size=\"5861376\"] \n  14 -> 28 [size =\"5861376\"]\n  14 -> 31 [size =\"5861376\"]\n  14 -> 34 [size =\"5861376\"]\n  15 [size=\"37449728\", alpha=\"0.08\", expect_size=\"18724864\"] \n  15 -> 29 [size =\"18724864\"]\n  15 -> 31 [size =\"18724864\"]\n  15 -> 34 [size =\"18724864\"]\n  16 [size=\"78073856\", alpha=\"0.10\", expect_size=\"39036928\"] \n  16 -> 29 [size =\"39036928\"]\n  17 [size=\"11337728\", alpha=\"0.08\", expect_size=\"5668864\"] \n  18 [size=\"47884288\", alpha=\"0.14\", expect_size=\"23942144\"] \n  18 -> 30 [size =\"23942144\"]\n  18 -> 32 [size =\"23942144\"]\n  19 [size=\"13615104\", alpha=\"0.07\", expect_size=\"6807552\"] \n  19 -> 34 [size =\"6807552\"]\n  20 [size=\"27885568\", alpha=\"0.11\", expect_size=\"13942784\"] \n  20 -> 29 [size =\"13942784\"]\n  20 -> 32 [size =\"13942784\"]\n  20 -> 34 [size =\"13942784\"]\n  21 [size=\"20133888\", alpha=\"0.17\", expect_size=\"10066944\"] \n  21 -> 28 [size =\"10066944\"]\n  22 [size=\"30158848\", alpha=\"0.14\", expect_size=\"15079424\"] \n  22 -> 28 [size =\"15079424\"]\n  22 -> 29 [size =\"15079424\"]\n  22 -> 30 [size =\"15079424\"]\n  22 -> 34 [size =\"15079424\"]\n  23 [size=\"69076992\", alpha=\"0.01\", expect_size=\"34538496\"] \n  23 -> 28 [size =\"34538496\"]\n  23 -> 29 [size =\"34538496\"]\n  23 -> 30 [size =\"34538496\"]\n  23 -> 31 [size =\"34538496\"]\n  23 -> 34 [size =\"34538496\"]\n  24 [size=\"46333952\", alpha=\"0.14\", expect_size=\"23166976\"] \n  24 -> 35 [size =\"23166976\"]\n  25 [size=\"34562048\", alpha=\"0.11\", expect_size=\"17281024\"] \n  25 -> 29 [size =\"17281024\"]\n  25 -> 30 [size =\"17281024\"]\n  25 -> 33 [size =\"17281024\"]\n  26 [size=\"73553920\", alpha=\"0.01\", expect_size=\"36776960\"] \n  26 -> 30 [size =\"36776960\"]\n  26 -> 33 [size =\"36776960\"]\n  26 -> 33 [size =\"36776960\"]\n  27 [size=\"27408384\", alpha=\"0.20\", expect_size=\"13704192\"] \n  27 -> 28 [size =\"13704192\"]\n  27 -> 30 [size =\"13704192\"]\n  27 -> 31 [size =\"13704192\"]\n  27 -> 33 [size =\"13704192\"]\n  28 [size=\"66498560\", alpha=\"0.15\", expect_size=\"33249280\"] \n  29 [size=\"37142528\", alpha=\"0.14\", expect_size=\"18571264\"] \n  30 [size=\"68059136\", alpha=\"0.06\", expect_size=\"34029568\"] \n  31 [size=\"23566336\", alpha=\"0.20\", expect_size=\"11783168\"] \n  32 [size=\"101902336\", alpha=\"0.14\", expect_size=\"50951168\"] \n  33 [size=\"75634688\", alpha=\"0.19\", expect_size=\"37817344\"] \n  34 [size=\"81842176\", alpha=\"0.03\", expect_size=\"40921088\"] \n  35 [size=\"53379072\", alpha=\"0.14\", expect_size=\"26689536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124889600\", alpha=\"0.03\", expect_size=\"49955840\"] \n  1 -> 2 [size =\"49955840\"]\n  2 [size=\"113057280\", alpha=\"0.16\", expect_size=\"45222912\"] \n  2 -> 3 [size =\"45222912\"]\n  3 [size=\"38663680\", alpha=\"0.07\", expect_size=\"15465472\"] \n  3 -> 4 [size =\"15465472\"]\n  4 [size=\"65085440\", alpha=\"0.10\", expect_size=\"26034176\"] \n  4 -> 5 [size =\"26034176\"]\n  5 [size=\"112939520\", alpha=\"0.01\", expect_size=\"45175808\"] \n  5 -> 6 [size =\"45175808\"]\n  6 [size=\"104256000\", alpha=\"0.02\", expect_size=\"41702400\"] \n  6 -> 7 [size =\"41702400\"]\n  7 [size=\"82309120\", alpha=\"0.07\", expect_size=\"32923648\"] \n  7 -> 8 [size =\"32923648\"]\n  8 [size=\"51484160\", alpha=\"0.10\", expect_size=\"20593664\"] \n  8 -> 9 [size =\"20593664\"]\n  9 [size=\"90316800\", alpha=\"0.07\", expect_size=\"36126720\"] \n  9 -> 10 [size =\"36126720\"]\n  10 [size=\"103086080\", alpha=\"0.05\", expect_size=\"41234432\"] \n  10 -> 11 [size =\"41234432\"]\n  11 [size=\"85265920\", alpha=\"0.12\", expect_size=\"34106368\"] \n  11 -> 12 [size =\"34106368\"]\n  12 [size=\"104240640\", alpha=\"0.20\", expect_size=\"41696256\"] \n  12 -> 13 [size =\"41696256\"]\n  13 [size=\"78579200\", alpha=\"0.15\", expect_size=\"31431680\"] \n  13 -> 14 [size =\"31431680\"]\n  14 [size=\"122616320\", alpha=\"0.15\", expect_size=\"49046528\"] \n  14 -> 15 [size =\"49046528\"]\n  15 [size=\"64947200\", alpha=\"0.04\", expect_size=\"25978880\"] \n  15 -> 16 [size =\"25978880\"]\n  16 [size=\"68648960\", alpha=\"0.02\", expect_size=\"27459584\"] \n  16 -> 17 [size =\"27459584\"]\n  17 [size=\"81172480\", alpha=\"0.13\", expect_size=\"32468992\"] \n  17 -> 18 [size =\"32468992\"]\n  18 [size=\"123159040\", alpha=\"0.15\", expect_size=\"49263616\"] \n  18 -> 19 [size =\"49263616\"]\n  19 [size=\"62878720\", alpha=\"0.14\", expect_size=\"25151488\"] \n  19 -> 20 [size =\"25151488\"]\n  20 [size=\"103861760\", alpha=\"0.19\", expect_size=\"41544704\"] \n  20 -> 21 [size =\"41544704\"]\n  21 [size=\"15347200\", alpha=\"0.04\", expect_size=\"6138880\"] \n  21 -> 22 [size =\"6138880\"]\n  22 [size=\"86632960\", alpha=\"0.06\", expect_size=\"34653184\"] \n  22 -> 23 [size =\"34653184\"]\n  23 [size=\"85265920\", alpha=\"0.12\", expect_size=\"34106368\"] \n  23 -> 24 [size =\"34106368\"]\n  24 [size=\"53166080\", alpha=\"0.07\", expect_size=\"21266432\"] \n  24 -> 25 [size =\"21266432\"]\n  25 [size=\"21061120\", alpha=\"0.19\", expect_size=\"8424448\"] \n  25 -> 26 [size =\"8424448\"]\n  26 [size=\"43793920\", alpha=\"0.07\", expect_size=\"17517568\"] \n  26 -> 27 [size =\"17517568\"]\n  27 [size=\"55892480\", alpha=\"0.06\", expect_size=\"22356992\"] \n  27 -> 28 [size =\"22356992\"]\n  28 [size=\"14735360\", alpha=\"0.11\", expect_size=\"5894144\"] \n  28 -> 29 [size =\"5894144\"]\n  29 [size=\"105256960\", alpha=\"0.10\", expect_size=\"42102784\"] \n  29 -> 30 [size =\"42102784\"]\n  30 [size=\"67059200\", alpha=\"0.04\", expect_size=\"26823680\"] \n  30 -> 31 [size =\"26823680\"]\n  31 [size=\"63889920\", alpha=\"0.10\", expect_size=\"25555968\"] \n  31 -> 32 [size =\"25555968\"]\n  32 [size=\"89569280\", alpha=\"0.12\", expect_size=\"35827712\"] \n  32 -> 33 [size =\"35827712\"]\n  33 [size=\"126082560\", alpha=\"0.04\", expect_size=\"50433024\"] \n  33 -> 34 [size =\"50433024\"]\n  34 [size=\"81021440\", alpha=\"0.16\", expect_size=\"32408576\"] \n  34 -> 35 [size =\"32408576\"]\n  35 [size=\"124334080\", alpha=\"0.16\", expect_size=\"49733632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82464768\", alpha=\"0.08\", expect_size=\"41232384\"] \n  1 -> 2 [size =\"41232384\"]\n  2 [size=\"34195456\", alpha=\"0.14\", expect_size=\"17097728\"] \n  2 -> 3 [size =\"17097728\"]\n  3 [size=\"23521280\", alpha=\"0.02\", expect_size=\"11760640\"] \n  3 -> 4 [size =\"11760640\"]\n  4 [size=\"54286336\", alpha=\"0.13\", expect_size=\"27143168\"] \n  4 -> 5 [size =\"27143168\"]\n  5 [size=\"32315392\", alpha=\"0.11\", expect_size=\"16157696\"] \n  5 -> 6 [size =\"16157696\"]\n  6 [size=\"55742464\", alpha=\"0.15\", expect_size=\"27871232\"] \n  6 -> 7 [size =\"27871232\"]\n  7 [size=\"29095936\", alpha=\"0.19\", expect_size=\"14547968\"] \n  7 -> 8 [size =\"14547968\"]\n  8 [size=\"94703616\", alpha=\"0.20\", expect_size=\"47351808\"] \n  8 -> 9 [size =\"47351808\"]\n  9 [size=\"48650240\", alpha=\"0.11\", expect_size=\"24325120\"] \n  9 -> 10 [size =\"24325120\"]\n  10 [size=\"96550912\", alpha=\"0.16\", expect_size=\"48275456\"] \n  10 -> 11 [size =\"48275456\"]\n  11 [size=\"38817792\", alpha=\"0.19\", expect_size=\"19408896\"] \n  11 -> 12 [size =\"19408896\"]\n  12 [size=\"78635008\", alpha=\"0.04\", expect_size=\"39317504\"] \n  12 -> 13 [size =\"39317504\"]\n  13 [size=\"51509248\", alpha=\"0.13\", expect_size=\"25754624\"] \n  13 -> 14 [size =\"25754624\"]\n  14 [size=\"61476864\", alpha=\"0.07\", expect_size=\"30738432\"] \n  14 -> 15 [size =\"30738432\"]\n  15 [size=\"29601792\", alpha=\"0.11\", expect_size=\"14800896\"] \n  15 -> 16 [size =\"14800896\"]\n  16 [size=\"83243008\", alpha=\"0.16\", expect_size=\"41621504\"] \n  16 -> 17 [size =\"41621504\"]\n  17 [size=\"59746304\", alpha=\"0.09\", expect_size=\"29873152\"] \n  17 -> 18 [size =\"29873152\"]\n  18 [size=\"55891968\", alpha=\"0.11\", expect_size=\"27945984\"] \n  18 -> 19 [size =\"27945984\"]\n  19 [size=\"54202368\", alpha=\"0.02\", expect_size=\"27101184\"] \n  19 -> 20 [size =\"27101184\"]\n  20 [size=\"13721600\", alpha=\"0.20\", expect_size=\"6860800\"] \n  20 -> 21 [size =\"6860800\"]\n  21 [size=\"90015744\", alpha=\"0.13\", expect_size=\"45007872\"] \n  21 -> 22 [size =\"45007872\"]\n  22 [size=\"84267008\", alpha=\"0.11\", expect_size=\"42133504\"] \n  22 -> 23 [size =\"42133504\"]\n  23 [size=\"103997440\", alpha=\"0.11\", expect_size=\"51998720\"] \n  23 -> 24 [size =\"51998720\"]\n  24 [size=\"71620608\", alpha=\"0.01\", expect_size=\"35810304\"] \n  24 -> 25 [size =\"35810304\"]\n  25 [size=\"104343552\", alpha=\"0.16\", expect_size=\"52171776\"] \n  25 -> 26 [size =\"52171776\"]\n  26 [size=\"59793408\", alpha=\"0.00\", expect_size=\"29896704\"] \n  26 -> 27 [size =\"29896704\"]\n  27 [size=\"40560640\", alpha=\"0.08\", expect_size=\"20280320\"] \n  27 -> 28 [size =\"20280320\"]\n  28 [size=\"82294784\", alpha=\"0.14\", expect_size=\"41147392\"] \n  28 -> 29 [size =\"41147392\"]\n  29 [size=\"41869312\", alpha=\"0.08\", expect_size=\"20934656\"] \n  29 -> 30 [size =\"20934656\"]\n  30 [size=\"52871168\", alpha=\"0.01\", expect_size=\"26435584\"] \n  30 -> 31 [size =\"26435584\"]\n  31 [size=\"52660224\", alpha=\"0.19\", expect_size=\"26330112\"] \n  31 -> 32 [size =\"26330112\"]\n  32 [size=\"18845696\", alpha=\"0.12\", expect_size=\"9422848\"] \n  32 -> 33 [size =\"9422848\"]\n  33 [size=\"69511168\", alpha=\"0.13\", expect_size=\"34755584\"] \n  33 -> 34 [size =\"34755584\"]\n  34 [size=\"28950528\", alpha=\"0.05\", expect_size=\"14475264\"] \n  34 -> 35 [size =\"14475264\"]\n  35 [size=\"35336192\", alpha=\"0.01\", expect_size=\"17668096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159232000\", alpha=\"0.04\", expect_size=\"47769600\"] \n  1 -> 4 [size =\"47769600\"]\n  2 [size=\"84162560\", alpha=\"0.09\", expect_size=\"25248768\"] \n  2 -> 5 [size =\"25248768\"]\n  2 -> 6 [size =\"25248768\"]\n  3 [size=\"36935680\", alpha=\"0.06\", expect_size=\"11080704\"] \n  3 -> 6 [size =\"11080704\"]\n  4 [size=\"27525120\", alpha=\"0.06\", expect_size=\"8257536\"] \n  4 -> 7 [size =\"8257536\"]\n  4 -> 8 [size =\"8257536\"]\n  4 -> 10 [size =\"8257536\"]\n  4 -> 11 [size =\"8257536\"]\n  4 -> 12 [size =\"8257536\"]\n  5 [size=\"113988267\", alpha=\"0.13\", expect_size=\"34196480\"] \n  5 -> 8 [size =\"34196480\"]\n  6 [size=\"39847253\", alpha=\"0.08\", expect_size=\"11954176\"] \n  6 -> 7 [size =\"11954176\"]\n  6 -> 9 [size =\"11954176\"]\n  6 -> 10 [size =\"11954176\"]\n  6 -> 11 [size =\"11954176\"]\n  7 [size=\"46288213\", alpha=\"0.06\", expect_size=\"13886464\"] \n  7 -> 14 [size =\"13886464\"]\n  8 [size=\"79254187\", alpha=\"0.01\", expect_size=\"23776256\"] \n  8 -> 13 [size =\"23776256\"]\n  8 -> 14 [size =\"23776256\"]\n  9 [size=\"82022400\", alpha=\"0.08\", expect_size=\"24606720\"] \n  9 -> 13 [size =\"24606720\"]\n  10 [size=\"121640960\", alpha=\"0.13\", expect_size=\"36492288\"] \n  10 -> 14 [size =\"36492288\"]\n  11 [size=\"35993600\", alpha=\"0.13\", expect_size=\"10798080\"] \n  11 -> 13 [size =\"10798080\"]\n  12 [size=\"65942187\", alpha=\"0.17\", expect_size=\"19782656\"] \n  12 -> 13 [size =\"19782656\"]\n  12 -> 14 [size =\"19782656\"]\n  13 [size=\"139823787\", alpha=\"0.17\", expect_size=\"41947136\"] \n  13 -> 15 [size =\"41947136\"]\n  13 -> 17 [size =\"41947136\"]\n  14 [size=\"27436373\", alpha=\"0.12\", expect_size=\"8230912\"] \n  14 -> 15 [size =\"8230912\"]\n  14 -> 16 [size =\"8230912\"]\n  14 -> 17 [size =\"8230912\"]\n  15 [size=\"71915520\", alpha=\"0.04\", expect_size=\"21574656\"] \n  15 -> 18 [size =\"21574656\"]\n  15 -> 19 [size =\"21574656\"]\n  15 -> 21 [size =\"21574656\"]\n  16 [size=\"18077013\", alpha=\"0.02\", expect_size=\"5423104\"] \n  16 -> 18 [size =\"5423104\"]\n  16 -> 19 [size =\"5423104\"]\n  16 -> 20 [size =\"5423104\"]\n  16 -> 21 [size =\"5423104\"]\n  17 [size=\"81414827\", alpha=\"0.03\", expect_size=\"24424448\"] \n  17 -> 20 [size =\"24424448\"]\n  17 -> 21 [size =\"24424448\"]\n  18 [size=\"129826133\", alpha=\"0.08\", expect_size=\"38947840\"] \n  18 -> 23 [size =\"38947840\"]\n  18 -> 24 [size =\"38947840\"]\n  19 [size=\"139137707\", alpha=\"0.20\", expect_size=\"41741312\"] \n  19 -> 22 [size =\"41741312\"]\n  19 -> 23 [size =\"41741312\"]\n  20 [size=\"43397120\", alpha=\"0.02\", expect_size=\"13019136\"] \n  20 -> 22 [size =\"13019136\"]\n  20 -> 23 [size =\"13019136\"]\n  21 [size=\"143803733\", alpha=\"0.03\", expect_size=\"43141120\"] \n  21 -> 22 [size =\"43141120\"]\n  22 [size=\"86568960\", alpha=\"0.13\", expect_size=\"25970688\"] \n  22 -> 25 [size =\"25970688\"]\n  22 -> 26 [size =\"25970688\"]\n  22 -> 29 [size =\"25970688\"]\n  23 [size=\"64023893\", alpha=\"0.04\", expect_size=\"19207168\"] \n  23 -> 25 [size =\"19207168\"]\n  23 -> 26 [size =\"19207168\"]\n  24 [size=\"43731627\", alpha=\"0.17\", expect_size=\"13119488\"] \n  24 -> 25 [size =\"13119488\"]\n  24 -> 27 [size =\"13119488\"]\n  24 -> 28 [size =\"13119488\"]\n  24 -> 29 [size =\"13119488\"]\n  25 [size=\"137495893\", alpha=\"0.03\", expect_size=\"41248768\"] \n  25 -> 30 [size =\"41248768\"]\n  25 -> 32 [size =\"41248768\"]\n  26 [size=\"170222933\", alpha=\"0.11\", expect_size=\"51066880\"] \n  26 -> 31 [size =\"51066880\"]\n  26 -> 32 [size =\"51066880\"]\n  27 [size=\"28859733\", alpha=\"0.03\", expect_size=\"8657920\"] \n  27 -> 32 [size =\"8657920\"]\n  28 [size=\"49725440\", alpha=\"0.03\", expect_size=\"14917632\"] \n  28 -> 30 [size =\"14917632\"]\n  29 [size=\"113967787\", alpha=\"0.11\", expect_size=\"34190336\"] \n  30 [size=\"110138027\", alpha=\"0.12\", expect_size=\"33041408\"] \n  30 -> 33 [size =\"33041408\"]\n  30 -> 34 [size =\"33041408\"]\n  30 -> 35 [size =\"33041408\"]\n  31 [size=\"128645120\", alpha=\"0.15\", expect_size=\"38593536\"] \n  32 [size=\"153961813\", alpha=\"0.05\", expect_size=\"46188544\"] \n  32 -> 35 [size =\"46188544\"]\n  33 [size=\"95488000\", alpha=\"0.10\", expect_size=\"28646400\"] \n  34 [size=\"129972907\", alpha=\"0.17\", expect_size=\"38991872\"] \n  35 [size=\"110178987\", alpha=\"0.10\", expect_size=\"33053696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42417493\", alpha=\"0.16\", expect_size=\"12725248\"] \n  1 -> 23 [size =\"12725248\"]\n  2 [size=\"92163413\", alpha=\"0.17\", expect_size=\"27649024\"] \n  2 -> 16 [size =\"27649024\"]\n  2 -> 22 [size =\"27649024\"]\n  2 -> 23 [size =\"27649024\"]\n  2 -> 26 [size =\"27649024\"]\n  2 -> 27 [size =\"27649024\"]\n  3 [size=\"115933867\", alpha=\"0.16\", expect_size=\"34780160\"] \n  3 -> 17 [size =\"34780160\"]\n  3 -> 18 [size =\"34780160\"]\n  3 -> 25 [size =\"34780160\"]\n  4 [size=\"95252480\", alpha=\"0.14\", expect_size=\"28575744\"] \n  4 -> 18 [size =\"28575744\"]\n  4 -> 18 [size =\"28575744\"]\n  4 -> 19 [size =\"28575744\"]\n  4 -> 25 [size =\"28575744\"]\n  4 -> 26 [size =\"28575744\"]\n  5 [size=\"157593600\", alpha=\"0.11\", expect_size=\"47278080\"] \n  5 -> 18 [size =\"47278080\"]\n  5 -> 20 [size =\"47278080\"]\n  5 -> 21 [size =\"47278080\"]\n  5 -> 26 [size =\"47278080\"]\n  6 [size=\"44895573\", alpha=\"0.07\", expect_size=\"13468672\"] \n  6 -> 18 [size =\"13468672\"]\n  6 -> 21 [size =\"13468672\"]\n  6 -> 26 [size =\"13468672\"]\n  7 [size=\"158143147\", alpha=\"0.17\", expect_size=\"47442944\"] \n  7 -> 16 [size =\"47442944\"]\n  7 -> 18 [size =\"47442944\"]\n  7 -> 24 [size =\"47442944\"]\n  7 -> 26 [size =\"47442944\"]\n  7 -> 27 [size =\"47442944\"]\n  8 [size=\"115118080\", alpha=\"0.06\", expect_size=\"34535424\"] \n  8 -> 16 [size =\"34535424\"]\n  8 -> 18 [size =\"34535424\"]\n  8 -> 24 [size =\"34535424\"]\n  8 -> 26 [size =\"34535424\"]\n  8 -> 27 [size =\"34535424\"]\n  9 [size=\"64436907\", alpha=\"0.03\", expect_size=\"19331072\"] \n  9 -> 16 [size =\"19331072\"]\n  9 -> 18 [size =\"19331072\"]\n  9 -> 19 [size =\"19331072\"]\n  9 -> 27 [size =\"19331072\"]\n  10 [size=\"24692053\", alpha=\"0.15\", expect_size=\"7407616\"] \n  10 -> 16 [size =\"7407616\"]\n  10 -> 17 [size =\"7407616\"]\n  10 -> 18 [size =\"7407616\"]\n  10 -> 19 [size =\"7407616\"]\n  10 -> 21 [size =\"7407616\"]\n  10 -> 25 [size =\"7407616\"]\n  11 [size=\"159651840\", alpha=\"0.18\", expect_size=\"47895552\"] \n  11 -> 20 [size =\"47895552\"]\n  11 -> 21 [size =\"47895552\"]\n  12 [size=\"124327253\", alpha=\"0.01\", expect_size=\"37298176\"] \n  12 -> 16 [size =\"37298176\"]\n  12 -> 19 [size =\"37298176\"]\n  13 [size=\"102311253\", alpha=\"0.10\", expect_size=\"30693376\"] \n  13 -> 17 [size =\"30693376\"]\n  13 -> 21 [size =\"30693376\"]\n  13 -> 24 [size =\"30693376\"]\n  14 [size=\"74622293\", alpha=\"0.10\", expect_size=\"22386688\"] \n  14 -> 26 [size =\"22386688\"]\n  15 [size=\"28480853\", alpha=\"0.10\", expect_size=\"8544256\"] \n  15 -> 25 [size =\"8544256\"]\n  15 -> 26 [size =\"8544256\"]\n  16 [size=\"114408107\", alpha=\"0.08\", expect_size=\"34322432\"] \n  16 -> 30 [size =\"34322432\"]\n  17 [size=\"173230080\", alpha=\"0.18\", expect_size=\"51969024\"] \n  17 -> 28 [size =\"51969024\"]\n  17 -> 31 [size =\"51969024\"]\n  17 -> 33 [size =\"51969024\"]\n  18 [size=\"151057067\", alpha=\"0.10\", expect_size=\"45317120\"] \n  18 -> 28 [size =\"45317120\"]\n  18 -> 29 [size =\"45317120\"]\n  19 [size=\"43844267\", alpha=\"0.18\", expect_size=\"13153280\"] \n  19 -> 28 [size =\"13153280\"]\n  19 -> 29 [size =\"13153280\"]\n  19 -> 30 [size =\"13153280\"]\n  19 -> 33 [size =\"13153280\"]\n  20 [size=\"69915307\", alpha=\"0.04\", expect_size=\"20974592\"] \n  20 -> 28 [size =\"20974592\"]\n  20 -> 30 [size =\"20974592\"]\n  20 -> 31 [size =\"20974592\"]\n  20 -> 34 [size =\"20974592\"]\n  21 [size=\"28600320\", alpha=\"0.13\", expect_size=\"8580096\"] \n  21 -> 31 [size =\"8580096\"]\n  21 -> 32 [size =\"8580096\"]\n  21 -> 33 [size =\"8580096\"]\n  22 [size=\"169854293\", alpha=\"0.12\", expect_size=\"50956288\"] \n  22 -> 29 [size =\"50956288\"]\n  22 -> 33 [size =\"50956288\"]\n  22 -> 34 [size =\"50956288\"]\n  22 -> 35 [size =\"50956288\"]\n  23 [size=\"22681600\", alpha=\"0.03\", expect_size=\"6804480\"] \n  23 -> 34 [size =\"6804480\"]\n  23 -> 35 [size =\"6804480\"]\n  24 [size=\"99140267\", alpha=\"0.04\", expect_size=\"29742080\"] \n  25 [size=\"22934187\", alpha=\"0.03\", expect_size=\"6880256\"] \n  26 [size=\"102287360\", alpha=\"0.05\", expect_size=\"30686208\"] \n  26 -> 33 [size =\"30686208\"]\n  27 [size=\"164341760\", alpha=\"0.05\", expect_size=\"49302528\"] \n  27 -> 28 [size =\"49302528\"]\n  28 [size=\"151224320\", alpha=\"0.18\", expect_size=\"45367296\"] \n  29 [size=\"75847680\", alpha=\"0.17\", expect_size=\"22754304\"] \n  30 [size=\"58996053\", alpha=\"0.16\", expect_size=\"17698816\"] \n  31 [size=\"89180160\", alpha=\"0.14\", expect_size=\"26754048\"] \n  32 [size=\"34058240\", alpha=\"0.05\", expect_size=\"10217472\"] \n  33 [size=\"125597013\", alpha=\"0.07\", expect_size=\"37679104\"] \n  34 [size=\"147691520\", alpha=\"0.16\", expect_size=\"44307456\"] \n  35 [size=\"20828160\", alpha=\"0.07\", expect_size=\"6248448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100283733\", alpha=\"0.14\", expect_size=\"30085120\"] \n  1 -> 12 [size =\"30085120\"]\n  1 -> 16 [size =\"30085120\"]\n  1 -> 17 [size =\"30085120\"]\n  1 -> 19 [size =\"30085120\"]\n  1 -> 20 [size =\"30085120\"]\n  1 -> 20 [size =\"30085120\"]\n  1 -> 21 [size =\"30085120\"]\n  1 -> 22 [size =\"30085120\"]\n  2 [size=\"136014507\", alpha=\"0.16\", expect_size=\"40804352\"] \n  2 -> 12 [size =\"40804352\"]\n  2 -> 16 [size =\"40804352\"]\n  2 -> 20 [size =\"40804352\"]\n  2 -> 21 [size =\"40804352\"]\n  3 [size=\"164966400\", alpha=\"0.06\", expect_size=\"49489920\"] \n  3 -> 14 [size =\"49489920\"]\n  3 -> 16 [size =\"49489920\"]\n  3 -> 17 [size =\"49489920\"]\n  3 -> 18 [size =\"49489920\"]\n  3 -> 20 [size =\"49489920\"]\n  3 -> 21 [size =\"49489920\"]\n  3 -> 22 [size =\"49489920\"]\n  4 [size=\"116483413\", alpha=\"0.16\", expect_size=\"34945024\"] \n  4 -> 12 [size =\"34945024\"]\n  4 -> 13 [size =\"34945024\"]\n  4 -> 14 [size =\"34945024\"]\n  4 -> 16 [size =\"34945024\"]\n  4 -> 20 [size =\"34945024\"]\n  4 -> 21 [size =\"34945024\"]\n  5 [size=\"72263680\", alpha=\"0.01\", expect_size=\"21679104\"] \n  5 -> 12 [size =\"21679104\"]\n  5 -> 14 [size =\"21679104\"]\n  5 -> 14 [size =\"21679104\"]\n  5 -> 15 [size =\"21679104\"]\n  5 -> 16 [size =\"21679104\"]\n  5 -> 20 [size =\"21679104\"]\n  5 -> 21 [size =\"21679104\"]\n  6 [size=\"129027413\", alpha=\"0.10\", expect_size=\"38708224\"] \n  6 -> 12 [size =\"38708224\"]\n  6 -> 13 [size =\"38708224\"]\n  6 -> 14 [size =\"38708224\"]\n  6 -> 15 [size =\"38708224\"]\n  6 -> 16 [size =\"38708224\"]\n  6 -> 17 [size =\"38708224\"]\n  6 -> 20 [size =\"38708224\"]\n  6 -> 21 [size =\"38708224\"]\n  7 [size=\"162590720\", alpha=\"0.01\", expect_size=\"48777216\"] \n  7 -> 12 [size =\"48777216\"]\n  7 -> 13 [size =\"48777216\"]\n  7 -> 14 [size =\"48777216\"]\n  7 -> 16 [size =\"48777216\"]\n  7 -> 19 [size =\"48777216\"]\n  7 -> 20 [size =\"48777216\"]\n  7 -> 21 [size =\"48777216\"]\n  7 -> 21 [size =\"48777216\"]\n  8 [size=\"26426027\", alpha=\"0.04\", expect_size=\"7927808\"] \n  8 -> 12 [size =\"7927808\"]\n  8 -> 14 [size =\"7927808\"]\n  8 -> 14 [size =\"7927808\"]\n  8 -> 19 [size =\"7927808\"]\n  8 -> 20 [size =\"7927808\"]\n  8 -> 21 [size =\"7927808\"]\n  9 [size=\"25391787\", alpha=\"0.15\", expect_size=\"7617536\"] \n  9 -> 12 [size =\"7617536\"]\n  9 -> 14 [size =\"7617536\"]\n  9 -> 15 [size =\"7617536\"]\n  9 -> 16 [size =\"7617536\"]\n  9 -> 17 [size =\"7617536\"]\n  9 -> 18 [size =\"7617536\"]\n  9 -> 19 [size =\"7617536\"]\n  9 -> 21 [size =\"7617536\"]\n  10 [size=\"47807147\", alpha=\"0.05\", expect_size=\"14342144\"] \n  10 -> 12 [size =\"14342144\"]\n  10 -> 16 [size =\"14342144\"]\n  11 [size=\"173213013\", alpha=\"0.19\", expect_size=\"51963904\"] \n  11 -> 12 [size =\"51963904\"]\n  11 -> 16 [size =\"51963904\"]\n  11 -> 17 [size =\"51963904\"]\n  11 -> 18 [size =\"51963904\"]\n  11 -> 19 [size =\"51963904\"]\n  11 -> 20 [size =\"51963904\"]\n  11 -> 22 [size =\"51963904\"]\n  12 [size=\"125255680\", alpha=\"0.08\", expect_size=\"37576704\"] \n  12 -> 24 [size =\"37576704\"]\n  12 -> 26 [size =\"37576704\"]\n  12 -> 28 [size =\"37576704\"]\n  12 -> 30 [size =\"37576704\"]\n  12 -> 33 [size =\"37576704\"]\n  13 [size=\"92712960\", alpha=\"0.01\", expect_size=\"27813888\"] \n  13 -> 24 [size =\"27813888\"]\n  13 -> 28 [size =\"27813888\"]\n  13 -> 29 [size =\"27813888\"]\n  13 -> 30 [size =\"27813888\"]\n  13 -> 33 [size =\"27813888\"]\n  14 [size=\"139011413\", alpha=\"0.05\", expect_size=\"41703424\"] \n  14 -> 23 [size =\"41703424\"]\n  14 -> 30 [size =\"41703424\"]\n  14 -> 31 [size =\"41703424\"]\n  14 -> 33 [size =\"41703424\"]\n  14 -> 33 [size =\"41703424\"]\n  15 [size=\"108605440\", alpha=\"0.06\", expect_size=\"32581632\"] \n  15 -> 29 [size =\"32581632\"]\n  15 -> 30 [size =\"32581632\"]\n  15 -> 32 [size =\"32581632\"]\n  15 -> 33 [size =\"32581632\"]\n  16 [size=\"117507413\", alpha=\"0.16\", expect_size=\"35252224\"] \n  16 -> 32 [size =\"35252224\"]\n  16 -> 33 [size =\"35252224\"]\n  17 [size=\"38498987\", alpha=\"0.08\", expect_size=\"11549696\"] \n  17 -> 24 [size =\"11549696\"]\n  17 -> 25 [size =\"11549696\"]\n  17 -> 32 [size =\"11549696\"]\n  17 -> 33 [size =\"11549696\"]\n  18 [size=\"50077013\", alpha=\"0.03\", expect_size=\"15023104\"] \n  18 -> 32 [size =\"15023104\"]\n  19 [size=\"78650027\", alpha=\"0.18\", expect_size=\"23595008\"] \n  19 -> 24 [size =\"23595008\"]\n  19 -> 26 [size =\"23595008\"]\n  20 [size=\"42171733\", alpha=\"0.02\", expect_size=\"12651520\"] \n  20 -> 24 [size =\"12651520\"]\n  20 -> 26 [size =\"12651520\"]\n  20 -> 27 [size =\"12651520\"]\n  20 -> 30 [size =\"12651520\"]\n  21 [size=\"78185813\", alpha=\"0.16\", expect_size=\"23455744\"] \n  21 -> 28 [size =\"23455744\"]\n  22 [size=\"69236053\", alpha=\"0.05\", expect_size=\"20770816\"] \n  22 -> 26 [size =\"20770816\"]\n  22 -> 28 [size =\"20770816\"]\n  22 -> 31 [size =\"20770816\"]\n  22 -> 33 [size =\"20770816\"]\n  23 [size=\"133809493\", alpha=\"0.13\", expect_size=\"40142848\"] \n  23 -> 34 [size =\"40142848\"]\n  23 -> 35 [size =\"40142848\"]\n  24 [size=\"142301867\", alpha=\"0.14\", expect_size=\"42690560\"] \n  25 [size=\"22568960\", alpha=\"0.01\", expect_size=\"6770688\"] \n  25 -> 34 [size =\"6770688\"]\n  26 [size=\"70935893\", alpha=\"0.03\", expect_size=\"21280768\"] \n  26 -> 34 [size =\"21280768\"]\n  26 -> 35 [size =\"21280768\"]\n  27 [size=\"42468693\", alpha=\"0.03\", expect_size=\"12740608\"] \n  27 -> 34 [size =\"12740608\"]\n  27 -> 35 [size =\"12740608\"]\n  28 [size=\"107229867\", alpha=\"0.04\", expect_size=\"32168960\"] \n  28 -> 34 [size =\"32168960\"]\n  28 -> 35 [size =\"32168960\"]\n  29 [size=\"129184427\", alpha=\"0.06\", expect_size=\"38755328\"] \n  29 -> 34 [size =\"38755328\"]\n  29 -> 35 [size =\"38755328\"]\n  30 [size=\"116790613\", alpha=\"0.12\", expect_size=\"35037184\"] \n  30 -> 34 [size =\"35037184\"]\n  30 -> 35 [size =\"35037184\"]\n  31 [size=\"132297387\", alpha=\"0.18\", expect_size=\"39689216\"] \n  31 -> 34 [size =\"39689216\"]\n  31 -> 35 [size =\"39689216\"]\n  32 [size=\"101222400\", alpha=\"0.18\", expect_size=\"30366720\"] \n  32 -> 34 [size =\"30366720\"]\n  32 -> 35 [size =\"30366720\"]\n  33 [size=\"142103893\", alpha=\"0.07\", expect_size=\"42631168\"] \n  33 -> 34 [size =\"42631168\"]\n  34 [size=\"87862613\", alpha=\"0.12\", expect_size=\"26358784\"] \n  35 [size=\"37509120\", alpha=\"0.08\", expect_size=\"11252736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18016256\", alpha=\"0.19\", expect_size=\"9008128\"] \n  1 -> 6 [size =\"9008128\"]\n  1 -> 8 [size =\"9008128\"]\n  2 [size=\"101898240\", alpha=\"0.05\", expect_size=\"50949120\"] \n  2 -> 6 [size =\"50949120\"]\n  3 [size=\"73641984\", alpha=\"0.14\", expect_size=\"36820992\"] \n  3 -> 7 [size =\"36820992\"]\n  4 [size=\"66955264\", alpha=\"0.01\", expect_size=\"33477632\"] \n  4 -> 9 [size =\"33477632\"]\n  5 [size=\"25296896\", alpha=\"0.16\", expect_size=\"12648448\"] \n  5 -> 6 [size =\"12648448\"]\n  6 [size=\"89305088\", alpha=\"0.10\", expect_size=\"44652544\"] \n  6 -> 11 [size =\"44652544\"]\n  6 -> 12 [size =\"44652544\"]\n  6 -> 13 [size =\"44652544\"]\n  6 -> 14 [size =\"44652544\"]\n  7 [size=\"71530496\", alpha=\"0.05\", expect_size=\"35765248\"] \n  8 [size=\"48967680\", alpha=\"0.02\", expect_size=\"24483840\"] \n  8 -> 10 [size =\"24483840\"]\n  8 -> 13 [size =\"24483840\"]\n  9 [size=\"69781504\", alpha=\"0.11\", expect_size=\"34890752\"] \n  9 -> 14 [size =\"34890752\"]\n  10 [size=\"59668480\", alpha=\"0.19\", expect_size=\"29834240\"] \n  10 -> 17 [size =\"29834240\"]\n  10 -> 18 [size =\"29834240\"]\n  11 [size=\"91904000\", alpha=\"0.18\", expect_size=\"45952000\"] \n  11 -> 15 [size =\"45952000\"]\n  11 -> 16 [size =\"45952000\"]\n  11 -> 18 [size =\"45952000\"]\n  12 [size=\"87570432\", alpha=\"0.00\", expect_size=\"43785216\"] \n  13 [size=\"14899200\", alpha=\"0.05\", expect_size=\"7449600\"] \n  13 -> 15 [size =\"7449600\"]\n  13 -> 16 [size =\"7449600\"]\n  13 -> 18 [size =\"7449600\"]\n  14 [size=\"81711104\", alpha=\"0.14\", expect_size=\"40855552\"] \n  14 -> 15 [size =\"40855552\"]\n  14 -> 17 [size =\"40855552\"]\n  15 [size=\"84424704\", alpha=\"0.06\", expect_size=\"42212352\"] \n  15 -> 20 [size =\"42212352\"]\n  15 -> 21 [size =\"42212352\"]\n  15 -> 22 [size =\"42212352\"]\n  16 [size=\"67774464\", alpha=\"0.06\", expect_size=\"33887232\"] \n  16 -> 20 [size =\"33887232\"]\n  16 -> 21 [size =\"33887232\"]\n  16 -> 23 [size =\"33887232\"]\n  17 [size=\"21563392\", alpha=\"0.18\", expect_size=\"10781696\"] \n  17 -> 19 [size =\"10781696\"]\n  17 -> 21 [size =\"10781696\"]\n  17 -> 23 [size =\"10781696\"]\n  18 [size=\"43245568\", alpha=\"0.18\", expect_size=\"21622784\"] \n  18 -> 22 [size =\"21622784\"]\n  18 -> 23 [size =\"21622784\"]\n  19 [size=\"51607552\", alpha=\"0.10\", expect_size=\"25803776\"] \n  19 -> 24 [size =\"25803776\"]\n  19 -> 26 [size =\"25803776\"]\n  19 -> 27 [size =\"25803776\"]\n  19 -> 28 [size =\"25803776\"]\n  20 [size=\"101234688\", alpha=\"0.14\", expect_size=\"50617344\"] \n  20 -> 24 [size =\"50617344\"]\n  20 -> 25 [size =\"50617344\"]\n  20 -> 26 [size =\"50617344\"]\n  20 -> 27 [size =\"50617344\"]\n  20 -> 28 [size =\"50617344\"]\n  21 [size=\"95854592\", alpha=\"0.00\", expect_size=\"47927296\"] \n  21 -> 26 [size =\"47927296\"]\n  21 -> 28 [size =\"47927296\"]\n  22 [size=\"86951936\", alpha=\"0.06\", expect_size=\"43475968\"] \n  23 [size=\"87265280\", alpha=\"0.05\", expect_size=\"43632640\"] \n  24 [size=\"14641152\", alpha=\"0.16\", expect_size=\"7320576\"] \n  24 -> 29 [size =\"7320576\"]\n  25 [size=\"78374912\", alpha=\"0.10\", expect_size=\"39187456\"] \n  25 -> 32 [size =\"39187456\"]\n  26 [size=\"10823680\", alpha=\"0.01\", expect_size=\"5411840\"] \n  26 -> 29 [size =\"5411840\"]\n  26 -> 31 [size =\"5411840\"]\n  26 -> 32 [size =\"5411840\"]\n  27 [size=\"41084928\", alpha=\"0.04\", expect_size=\"20542464\"] \n  27 -> 29 [size =\"20542464\"]\n  27 -> 30 [size =\"20542464\"]\n  27 -> 31 [size =\"20542464\"]\n  28 [size=\"31463424\", alpha=\"0.16\", expect_size=\"15731712\"] \n  28 -> 30 [size =\"15731712\"]\n  28 -> 32 [size =\"15731712\"]\n  29 [size=\"22411264\", alpha=\"0.01\", expect_size=\"11205632\"] \n  29 -> 34 [size =\"11205632\"]\n  30 [size=\"67479552\", alpha=\"0.16\", expect_size=\"33739776\"] \n  30 -> 35 [size =\"33739776\"]\n  31 [size=\"39936000\", alpha=\"0.08\", expect_size=\"19968000\"] \n  31 -> 34 [size =\"19968000\"]\n  32 [size=\"41680896\", alpha=\"0.16\", expect_size=\"20840448\"] \n  32 -> 33 [size =\"20840448\"]\n  33 [size=\"69758976\", alpha=\"0.06\", expect_size=\"34879488\"] \n  34 [size=\"92952576\", alpha=\"0.10\", expect_size=\"46476288\"] \n  35 [size=\"73361408\", alpha=\"0.10\", expect_size=\"36680704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117449387\", alpha=\"0.06\", expect_size=\"35234816\"] \n  1 -> 6 [size =\"35234816\"]\n  1 -> 8 [size =\"35234816\"]\n  1 -> 9 [size =\"35234816\"]\n  2 [size=\"159685973\", alpha=\"0.03\", expect_size=\"47905792\"] \n  2 -> 6 [size =\"47905792\"]\n  2 -> 8 [size =\"47905792\"]\n  3 [size=\"119814827\", alpha=\"0.13\", expect_size=\"35944448\"] \n  3 -> 7 [size =\"35944448\"]\n  3 -> 8 [size =\"35944448\"]\n  4 [size=\"70331733\", alpha=\"0.06\", expect_size=\"21099520\"] \n  4 -> 10 [size =\"21099520\"]\n  5 [size=\"131112960\", alpha=\"0.02\", expect_size=\"39333888\"] \n  5 -> 7 [size =\"39333888\"]\n  5 -> 9 [size =\"39333888\"]\n  6 [size=\"17694720\", alpha=\"0.12\", expect_size=\"5308416\"] \n  6 -> 13 [size =\"5308416\"]\n  7 [size=\"170792960\", alpha=\"0.01\", expect_size=\"51237888\"] \n  7 -> 14 [size =\"51237888\"]\n  8 [size=\"134690133\", alpha=\"0.12\", expect_size=\"40407040\"] \n  8 -> 12 [size =\"40407040\"]\n  8 -> 14 [size =\"40407040\"]\n  9 [size=\"162007040\", alpha=\"0.07\", expect_size=\"48602112\"] \n  9 -> 13 [size =\"48602112\"]\n  10 [size=\"20442453\", alpha=\"0.16\", expect_size=\"6132736\"] \n  10 -> 11 [size =\"6132736\"]\n  10 -> 12 [size =\"6132736\"]\n  10 -> 13 [size =\"6132736\"]\n  11 [size=\"50715307\", alpha=\"0.06\", expect_size=\"15214592\"] \n  11 -> 15 [size =\"15214592\"]\n  12 [size=\"97071787\", alpha=\"0.02\", expect_size=\"29121536\"] \n  13 [size=\"121535147\", alpha=\"0.14\", expect_size=\"36460544\"] \n  13 -> 15 [size =\"36460544\"]\n  13 -> 16 [size =\"36460544\"]\n  14 [size=\"63508480\", alpha=\"0.11\", expect_size=\"19052544\"] \n  14 -> 17 [size =\"19052544\"]\n  14 -> 18 [size =\"19052544\"]\n  14 -> 19 [size =\"19052544\"]\n  15 [size=\"111827627\", alpha=\"0.06\", expect_size=\"33548288\"] \n  15 -> 20 [size =\"33548288\"]\n  15 -> 22 [size =\"33548288\"]\n  15 -> 23 [size =\"33548288\"]\n  16 [size=\"125156693\", alpha=\"0.06\", expect_size=\"37547008\"] \n  16 -> 22 [size =\"37547008\"]\n  16 -> 23 [size =\"37547008\"]\n  16 -> 24 [size =\"37547008\"]\n  17 [size=\"58456747\", alpha=\"0.04\", expect_size=\"17537024\"] \n  17 -> 21 [size =\"17537024\"]\n  18 [size=\"65979733\", alpha=\"0.15\", expect_size=\"19793920\"] \n  18 -> 20 [size =\"19793920\"]\n  18 -> 23 [size =\"19793920\"]\n  19 [size=\"160037547\", alpha=\"0.17\", expect_size=\"48011264\"] \n  20 [size=\"59880107\", alpha=\"0.01\", expect_size=\"17964032\"] \n  20 -> 25 [size =\"17964032\"]\n  20 -> 26 [size =\"17964032\"]\n  21 [size=\"28439893\", alpha=\"0.19\", expect_size=\"8531968\"] \n  21 -> 26 [size =\"8531968\"]\n  21 -> 27 [size =\"8531968\"]\n  22 [size=\"72407040\", alpha=\"0.14\", expect_size=\"21722112\"] \n  23 [size=\"91398827\", alpha=\"0.03\", expect_size=\"27419648\"] \n  24 [size=\"44393813\", alpha=\"0.18\", expect_size=\"13318144\"] \n  24 -> 26 [size =\"13318144\"]\n  25 [size=\"133191680\", alpha=\"0.07\", expect_size=\"39957504\"] \n  25 -> 29 [size =\"39957504\"]\n  25 -> 30 [size =\"39957504\"]\n  26 [size=\"24152747\", alpha=\"0.17\", expect_size=\"7245824\"] \n  26 -> 28 [size =\"7245824\"]\n  27 [size=\"69908480\", alpha=\"0.06\", expect_size=\"20972544\"] \n  27 -> 28 [size =\"20972544\"]\n  27 -> 29 [size =\"20972544\"]\n  28 [size=\"105045333\", alpha=\"0.10\", expect_size=\"31513600\"] \n  28 -> 33 [size =\"31513600\"]\n  28 -> 34 [size =\"31513600\"]\n  29 [size=\"63242240\", alpha=\"0.13\", expect_size=\"18972672\"] \n  29 -> 31 [size =\"18972672\"]\n  29 -> 33 [size =\"18972672\"]\n  30 [size=\"35799040\", alpha=\"0.16\", expect_size=\"10739712\"] \n  30 -> 32 [size =\"10739712\"]\n  31 [size=\"45117440\", alpha=\"0.03\", expect_size=\"13535232\"] \n  31 -> 35 [size =\"13535232\"]\n  32 [size=\"33884160\", alpha=\"0.20\", expect_size=\"10165248\"] \n  33 [size=\"144315733\", alpha=\"0.10\", expect_size=\"43294720\"] \n  33 -> 35 [size =\"43294720\"]\n  34 [size=\"164174507\", alpha=\"0.07\", expect_size=\"49252352\"] \n  35 [size=\"146315947\", alpha=\"0.15\", expect_size=\"43894784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67816960\", alpha=\"0.10\", expect_size=\"27126784\"] \n  1 -> 4 [size =\"27126784\"]\n  2 [size=\"115645440\", alpha=\"0.13\", expect_size=\"46258176\"] \n  2 -> 3 [size =\"46258176\"]\n  2 -> 4 [size =\"46258176\"]\n  3 [size=\"69839360\", alpha=\"0.11\", expect_size=\"27935744\"] \n  3 -> 5 [size =\"27935744\"]\n  3 -> 6 [size =\"27935744\"]\n  4 [size=\"43768320\", alpha=\"0.14\", expect_size=\"17507328\"] \n  4 -> 6 [size =\"17507328\"]\n  5 [size=\"107653120\", alpha=\"0.04\", expect_size=\"43061248\"] \n  5 -> 7 [size =\"43061248\"]\n  5 -> 8 [size =\"43061248\"]\n  6 [size=\"25459200\", alpha=\"0.14\", expect_size=\"10183680\"] \n  6 -> 8 [size =\"10183680\"]\n  7 [size=\"98378240\", alpha=\"0.13\", expect_size=\"39351296\"] \n  7 -> 9 [size =\"39351296\"]\n  8 [size=\"114677760\", alpha=\"0.12\", expect_size=\"45871104\"] \n  9 [size=\"15441920\", alpha=\"0.16\", expect_size=\"6176768\"] \n  9 -> 10 [size =\"6176768\"]\n  9 -> 11 [size =\"6176768\"]\n  10 [size=\"68623360\", alpha=\"0.19\", expect_size=\"27449344\"] \n  10 -> 12 [size =\"27449344\"]\n  11 [size=\"48048640\", alpha=\"0.08\", expect_size=\"19219456\"] \n  12 [size=\"106291200\", alpha=\"0.20\", expect_size=\"42516480\"] \n  12 -> 13 [size =\"42516480\"]\n  12 -> 14 [size =\"42516480\"]\n  13 [size=\"67765760\", alpha=\"0.08\", expect_size=\"27106304\"] \n  13 -> 15 [size =\"27106304\"]\n  14 [size=\"14615040\", alpha=\"0.11\", expect_size=\"5846016\"] \n  14 -> 15 [size =\"5846016\"]\n  15 [size=\"95116800\", alpha=\"0.01\", expect_size=\"38046720\"] \n  15 -> 16 [size =\"38046720\"]\n  16 [size=\"119790080\", alpha=\"0.17\", expect_size=\"47916032\"] \n  16 -> 17 [size =\"47916032\"]\n  17 [size=\"85281280\", alpha=\"0.18\", expect_size=\"34112512\"] \n  17 -> 18 [size =\"34112512\"]\n  17 -> 19 [size =\"34112512\"]\n  18 [size=\"44275200\", alpha=\"0.20\", expect_size=\"17710080\"] \n  18 -> 20 [size =\"17710080\"]\n  19 [size=\"114639360\", alpha=\"0.16\", expect_size=\"45855744\"] \n  20 [size=\"89218560\", alpha=\"0.09\", expect_size=\"35687424\"] \n  20 -> 21 [size =\"35687424\"]\n  20 -> 22 [size =\"35687424\"]\n  21 [size=\"81402880\", alpha=\"0.11\", expect_size=\"32561152\"] \n  22 [size=\"126074880\", alpha=\"0.11\", expect_size=\"50429952\"] \n  22 -> 23 [size =\"50429952\"]\n  23 [size=\"125985280\", alpha=\"0.00\", expect_size=\"50394112\"] \n  23 -> 24 [size =\"50394112\"]\n  24 [size=\"57077760\", alpha=\"0.15\", expect_size=\"22831104\"] \n  24 -> 25 [size =\"22831104\"]\n  24 -> 26 [size =\"22831104\"]\n  25 [size=\"122470400\", alpha=\"0.05\", expect_size=\"48988160\"] \n  25 -> 27 [size =\"48988160\"]\n  26 [size=\"129397760\", alpha=\"0.18\", expect_size=\"51759104\"] \n  26 -> 27 [size =\"51759104\"]\n  27 [size=\"114022400\", alpha=\"0.05\", expect_size=\"45608960\"] \n  27 -> 28 [size =\"45608960\"]\n  27 -> 29 [size =\"45608960\"]\n  28 [size=\"100968960\", alpha=\"0.09\", expect_size=\"40387584\"] \n  28 -> 30 [size =\"40387584\"]\n  29 [size=\"98736640\", alpha=\"0.14\", expect_size=\"39494656\"] \n  29 -> 30 [size =\"39494656\"]\n  30 [size=\"74895360\", alpha=\"0.08\", expect_size=\"29958144\"] \n  30 -> 31 [size =\"29958144\"]\n  31 [size=\"127805440\", alpha=\"0.08\", expect_size=\"51122176\"] \n  31 -> 32 [size =\"51122176\"]\n  31 -> 33 [size =\"51122176\"]\n  32 [size=\"76252160\", alpha=\"0.04\", expect_size=\"30500864\"] \n  32 -> 34 [size =\"30500864\"]\n  33 [size=\"22768640\", alpha=\"0.09\", expect_size=\"9107456\"] \n  34 [size=\"24092160\", alpha=\"0.14\", expect_size=\"9636864\"] \n  34 -> 35 [size =\"9636864\"]\n  35 [size=\"110886400\", alpha=\"0.14\", expect_size=\"44354560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77277867\", alpha=\"0.20\", expect_size=\"23183360\"] \n  1 -> 3 [size =\"23183360\"]\n  1 -> 4 [size =\"23183360\"]\n  1 -> 5 [size =\"23183360\"]\n  1 -> 6 [size =\"23183360\"]\n  1 -> 7 [size =\"23183360\"]\n  1 -> 8 [size =\"23183360\"]\n  2 [size=\"158825813\", alpha=\"0.03\", expect_size=\"47647744\"] \n  2 -> 4 [size =\"47647744\"]\n  2 -> 5 [size =\"47647744\"]\n  2 -> 6 [size =\"47647744\"]\n  2 -> 7 [size =\"47647744\"]\n  2 -> 8 [size =\"47647744\"]\n  3 [size=\"25811627\", alpha=\"0.15\", expect_size=\"7743488\"] \n  3 -> 9 [size =\"7743488\"]\n  3 -> 10 [size =\"7743488\"]\n  3 -> 11 [size =\"7743488\"]\n  3 -> 12 [size =\"7743488\"]\n  4 [size=\"89999360\", alpha=\"0.18\", expect_size=\"26999808\"] \n  4 -> 9 [size =\"26999808\"]\n  4 -> 10 [size =\"26999808\"]\n  5 [size=\"153603413\", alpha=\"0.10\", expect_size=\"46081024\"] \n  5 -> 9 [size =\"46081024\"]\n  5 -> 10 [size =\"46081024\"]\n  5 -> 11 [size =\"46081024\"]\n  5 -> 12 [size =\"46081024\"]\n  6 [size=\"105291093\", alpha=\"0.10\", expect_size=\"31587328\"] \n  6 -> 9 [size =\"31587328\"]\n  6 -> 11 [size =\"31587328\"]\n  6 -> 11 [size =\"31587328\"]\n  6 -> 12 [size =\"31587328\"]\n  6 -> 13 [size =\"31587328\"]\n  7 [size=\"142445227\", alpha=\"0.12\", expect_size=\"42733568\"] \n  7 -> 9 [size =\"42733568\"]\n  7 -> 10 [size =\"42733568\"]\n  7 -> 11 [size =\"42733568\"]\n  7 -> 12 [size =\"42733568\"]\n  8 [size=\"119418880\", alpha=\"0.10\", expect_size=\"35825664\"] \n  8 -> 9 [size =\"35825664\"]\n  8 -> 12 [size =\"35825664\"]\n  9 [size=\"62607360\", alpha=\"0.17\", expect_size=\"18782208\"] \n  9 -> 14 [size =\"18782208\"]\n  9 -> 15 [size =\"18782208\"]\n  10 [size=\"126887253\", alpha=\"0.04\", expect_size=\"38066176\"] \n  10 -> 14 [size =\"38066176\"]\n  11 [size=\"87132160\", alpha=\"0.14\", expect_size=\"26139648\"] \n  11 -> 14 [size =\"26139648\"]\n  11 -> 15 [size =\"26139648\"]\n  12 [size=\"86517760\", alpha=\"0.19\", expect_size=\"25955328\"] \n  12 -> 14 [size =\"25955328\"]\n  12 -> 15 [size =\"25955328\"]\n  13 [size=\"111534080\", alpha=\"0.13\", expect_size=\"33460224\"] \n  13 -> 14 [size =\"33460224\"]\n  13 -> 15 [size =\"33460224\"]\n  14 [size=\"73632427\", alpha=\"0.05\", expect_size=\"22089728\"] \n  14 -> 17 [size =\"22089728\"]\n  14 -> 18 [size =\"22089728\"]\n  14 -> 19 [size =\"22089728\"]\n  15 [size=\"59849387\", alpha=\"0.09\", expect_size=\"17954816\"] \n  15 -> 16 [size =\"17954816\"]\n  15 -> 18 [size =\"17954816\"]\n  15 -> 19 [size =\"17954816\"]\n  16 [size=\"136079360\", alpha=\"0.04\", expect_size=\"40823808\"] \n  16 -> 20 [size =\"40823808\"]\n  16 -> 21 [size =\"40823808\"]\n  17 [size=\"58746880\", alpha=\"0.19\", expect_size=\"17624064\"] \n  17 -> 20 [size =\"17624064\"]\n  17 -> 21 [size =\"17624064\"]\n  17 -> 22 [size =\"17624064\"]\n  18 [size=\"150490453\", alpha=\"0.14\", expect_size=\"45147136\"] \n  18 -> 20 [size =\"45147136\"]\n  18 -> 21 [size =\"45147136\"]\n  18 -> 22 [size =\"45147136\"]\n  19 [size=\"69133653\", alpha=\"0.11\", expect_size=\"20740096\"] \n  19 -> 20 [size =\"20740096\"]\n  19 -> 23 [size =\"20740096\"]\n  20 [size=\"42257067\", alpha=\"0.07\", expect_size=\"12677120\"] \n  20 -> 25 [size =\"12677120\"]\n  20 -> 27 [size =\"12677120\"]\n  20 -> 29 [size =\"12677120\"]\n  21 [size=\"73864533\", alpha=\"0.11\", expect_size=\"22159360\"] \n  21 -> 25 [size =\"22159360\"]\n  21 -> 26 [size =\"22159360\"]\n  21 -> 27 [size =\"22159360\"]\n  21 -> 30 [size =\"22159360\"]\n  22 [size=\"23971840\", alpha=\"0.12\", expect_size=\"7191552\"] \n  22 -> 25 [size =\"7191552\"]\n  22 -> 26 [size =\"7191552\"]\n  22 -> 27 [size =\"7191552\"]\n  22 -> 28 [size =\"7191552\"]\n  22 -> 29 [size =\"7191552\"]\n  22 -> 30 [size =\"7191552\"]\n  23 [size=\"170724693\", alpha=\"0.15\", expect_size=\"51217408\"] \n  23 -> 24 [size =\"51217408\"]\n  23 -> 25 [size =\"51217408\"]\n  23 -> 26 [size =\"51217408\"]\n  23 -> 27 [size =\"51217408\"]\n  23 -> 29 [size =\"51217408\"]\n  23 -> 30 [size =\"51217408\"]\n  24 [size=\"114793813\", alpha=\"0.07\", expect_size=\"34438144\"] \n  24 -> 31 [size =\"34438144\"]\n  24 -> 32 [size =\"34438144\"]\n  24 -> 33 [size =\"34438144\"]\n  24 -> 34 [size =\"34438144\"]\n  25 [size=\"154217813\", alpha=\"0.16\", expect_size=\"46265344\"] \n  25 -> 33 [size =\"46265344\"]\n  25 -> 34 [size =\"46265344\"]\n  26 [size=\"66877440\", alpha=\"0.17\", expect_size=\"20063232\"] \n  26 -> 31 [size =\"20063232\"]\n  26 -> 32 [size =\"20063232\"]\n  26 -> 33 [size =\"20063232\"]\n  26 -> 34 [size =\"20063232\"]\n  27 [size=\"101744640\", alpha=\"0.13\", expect_size=\"30523392\"] \n  27 -> 31 [size =\"30523392\"]\n  27 -> 32 [size =\"30523392\"]\n  27 -> 33 [size =\"30523392\"]\n  28 [size=\"95532373\", alpha=\"0.02\", expect_size=\"28659712\"] \n  28 -> 31 [size =\"28659712\"]\n  28 -> 32 [size =\"28659712\"]\n  28 -> 33 [size =\"28659712\"]\n  28 -> 34 [size =\"28659712\"]\n  29 [size=\"52155733\", alpha=\"0.17\", expect_size=\"15646720\"] \n  29 -> 31 [size =\"15646720\"]\n  29 -> 32 [size =\"15646720\"]\n  29 -> 33 [size =\"15646720\"]\n  29 -> 34 [size =\"15646720\"]\n  30 [size=\"140547413\", alpha=\"0.06\", expect_size=\"42164224\"] \n  30 -> 31 [size =\"42164224\"]\n  30 -> 32 [size =\"42164224\"]\n  30 -> 33 [size =\"42164224\"]\n  30 -> 34 [size =\"42164224\"]\n  31 [size=\"40325120\", alpha=\"0.04\", expect_size=\"12097536\"] \n  31 -> 35 [size =\"12097536\"]\n  32 [size=\"125863253\", alpha=\"0.10\", expect_size=\"37758976\"] \n  33 [size=\"66648747\", alpha=\"0.08\", expect_size=\"19994624\"] \n  33 -> 35 [size =\"19994624\"]\n  34 [size=\"28313600\", alpha=\"0.14\", expect_size=\"8494080\"] \n  34 -> 35 [size =\"8494080\"]\n  35 [size=\"83377493\", alpha=\"0.05\", expect_size=\"25013248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93736960\", alpha=\"0.20\", expect_size=\"46868480\"] \n  1 -> 31 [size =\"46868480\"]\n  1 -> 32 [size =\"46868480\"]\n  1 -> 33 [size =\"46868480\"]\n  1 -> 34 [size =\"46868480\"]\n  2 [size=\"103034880\", alpha=\"0.12\", expect_size=\"51517440\"] \n  2 -> 31 [size =\"51517440\"]\n  2 -> 32 [size =\"51517440\"]\n  2 -> 33 [size =\"51517440\"]\n  3 [size=\"96489472\", alpha=\"0.10\", expect_size=\"48244736\"] \n  3 -> 25 [size =\"48244736\"]\n  3 -> 27 [size =\"48244736\"]\n  3 -> 29 [size =\"48244736\"]\n  3 -> 30 [size =\"48244736\"]\n  3 -> 32 [size =\"48244736\"]\n  3 -> 33 [size =\"48244736\"]\n  3 -> 35 [size =\"48244736\"]\n  4 [size=\"99063808\", alpha=\"0.01\", expect_size=\"49531904\"] \n  4 -> 32 [size =\"49531904\"]\n  4 -> 33 [size =\"49531904\"]\n  5 [size=\"21579776\", alpha=\"0.16\", expect_size=\"10789888\"] \n  5 -> 29 [size =\"10789888\"]\n  5 -> 30 [size =\"10789888\"]\n  5 -> 32 [size =\"10789888\"]\n  5 -> 33 [size =\"10789888\"]\n  5 -> 34 [size =\"10789888\"]\n  6 [size=\"27750400\", alpha=\"0.00\", expect_size=\"13875200\"] \n  6 -> 27 [size =\"13875200\"]\n  6 -> 29 [size =\"13875200\"]\n  6 -> 30 [size =\"13875200\"]\n  6 -> 32 [size =\"13875200\"]\n  6 -> 33 [size =\"13875200\"]\n  7 [size=\"66220032\", alpha=\"0.11\", expect_size=\"33110016\"] \n  7 -> 25 [size =\"33110016\"]\n  7 -> 31 [size =\"33110016\"]\n  7 -> 32 [size =\"33110016\"]\n  7 -> 32 [size =\"33110016\"]\n  7 -> 35 [size =\"33110016\"]\n  8 [size=\"16353280\", alpha=\"0.08\", expect_size=\"8176640\"] \n  8 -> 27 [size =\"8176640\"]\n  8 -> 29 [size =\"8176640\"]\n  8 -> 30 [size =\"8176640\"]\n  8 -> 31 [size =\"8176640\"]\n  8 -> 34 [size =\"8176640\"]\n  8 -> 35 [size =\"8176640\"]\n  9 [size=\"48881664\", alpha=\"0.06\", expect_size=\"24440832\"] \n  9 -> 25 [size =\"24440832\"]\n  9 -> 27 [size =\"24440832\"]\n  9 -> 28 [size =\"24440832\"]\n  9 -> 30 [size =\"24440832\"]\n  9 -> 31 [size =\"24440832\"]\n  9 -> 32 [size =\"24440832\"]\n  9 -> 34 [size =\"24440832\"]\n  9 -> 35 [size =\"24440832\"]\n  10 [size=\"85401600\", alpha=\"0.16\", expect_size=\"42700800\"] \n  10 -> 25 [size =\"42700800\"]\n  10 -> 26 [size =\"42700800\"]\n  10 -> 27 [size =\"42700800\"]\n  10 -> 29 [size =\"42700800\"]\n  10 -> 31 [size =\"42700800\"]\n  10 -> 35 [size =\"42700800\"]\n  11 [size=\"57202688\", alpha=\"0.03\", expect_size=\"28601344\"] \n  11 -> 25 [size =\"28601344\"]\n  11 -> 26 [size =\"28601344\"]\n  11 -> 27 [size =\"28601344\"]\n  11 -> 30 [size =\"28601344\"]\n  11 -> 33 [size =\"28601344\"]\n  11 -> 34 [size =\"28601344\"]\n  11 -> 35 [size =\"28601344\"]\n  12 [size=\"57196544\", alpha=\"0.05\", expect_size=\"28598272\"] \n  12 -> 25 [size =\"28598272\"]\n  12 -> 28 [size =\"28598272\"]\n  12 -> 30 [size =\"28598272\"]\n  12 -> 31 [size =\"28598272\"]\n  12 -> 33 [size =\"28598272\"]\n  12 -> 34 [size =\"28598272\"]\n  13 [size=\"20914176\", alpha=\"0.15\", expect_size=\"10457088\"] \n  13 -> 25 [size =\"10457088\"]\n  13 -> 29 [size =\"10457088\"]\n  13 -> 30 [size =\"10457088\"]\n  13 -> 32 [size =\"10457088\"]\n  13 -> 33 [size =\"10457088\"]\n  13 -> 34 [size =\"10457088\"]\n  14 [size=\"69588992\", alpha=\"0.15\", expect_size=\"34794496\"] \n  14 -> 25 [size =\"34794496\"]\n  14 -> 31 [size =\"34794496\"]\n  14 -> 33 [size =\"34794496\"]\n  14 -> 34 [size =\"34794496\"]\n  14 -> 35 [size =\"34794496\"]\n  15 [size=\"74000384\", alpha=\"0.15\", expect_size=\"37000192\"] \n  15 -> 25 [size =\"37000192\"]\n  15 -> 26 [size =\"37000192\"]\n  15 -> 27 [size =\"37000192\"]\n  15 -> 32 [size =\"37000192\"]\n  15 -> 35 [size =\"37000192\"]\n  16 [size=\"55625728\", alpha=\"0.07\", expect_size=\"27812864\"] \n  16 -> 25 [size =\"27812864\"]\n  16 -> 27 [size =\"27812864\"]\n  16 -> 27 [size =\"27812864\"]\n  16 -> 31 [size =\"27812864\"]\n  16 -> 33 [size =\"27812864\"]\n  17 [size=\"56502272\", alpha=\"0.05\", expect_size=\"28251136\"] \n  17 -> 25 [size =\"28251136\"]\n  17 -> 30 [size =\"28251136\"]\n  17 -> 34 [size =\"28251136\"]\n  18 [size=\"14223360\", alpha=\"0.04\", expect_size=\"7111680\"] \n  18 -> 25 [size =\"7111680\"]\n  18 -> 30 [size =\"7111680\"]\n  18 -> 32 [size =\"7111680\"]\n  18 -> 35 [size =\"7111680\"]\n  19 [size=\"51968000\", alpha=\"0.09\", expect_size=\"25984000\"] \n  19 -> 29 [size =\"25984000\"]\n  19 -> 30 [size =\"25984000\"]\n  19 -> 31 [size =\"25984000\"]\n  19 -> 32 [size =\"25984000\"]\n  19 -> 33 [size =\"25984000\"]\n  19 -> 35 [size =\"25984000\"]\n  20 [size=\"80394240\", alpha=\"0.03\", expect_size=\"40197120\"] \n  20 -> 25 [size =\"40197120\"]\n  20 -> 26 [size =\"40197120\"]\n  20 -> 27 [size =\"40197120\"]\n  20 -> 29 [size =\"40197120\"]\n  20 -> 30 [size =\"40197120\"]\n  20 -> 32 [size =\"40197120\"]\n  20 -> 33 [size =\"40197120\"]\n  21 [size=\"62732288\", alpha=\"0.15\", expect_size=\"31366144\"] \n  21 -> 33 [size =\"31366144\"]\n  21 -> 34 [size =\"31366144\"]\n  22 [size=\"79101952\", alpha=\"0.06\", expect_size=\"39550976\"] \n  22 -> 30 [size =\"39550976\"]\n  23 [size=\"103587840\", alpha=\"0.15\", expect_size=\"51793920\"] \n  23 -> 25 [size =\"51793920\"]\n  23 -> 27 [size =\"51793920\"]\n  23 -> 30 [size =\"51793920\"]\n  23 -> 31 [size =\"51793920\"]\n  23 -> 33 [size =\"51793920\"]\n  23 -> 34 [size =\"51793920\"]\n  24 [size=\"78393344\", alpha=\"0.04\", expect_size=\"39196672\"] \n  24 -> 30 [size =\"39196672\"]\n  24 -> 32 [size =\"39196672\"]\n  25 [size=\"53983232\", alpha=\"0.14\", expect_size=\"26991616\"] \n  26 [size=\"28409856\", alpha=\"0.09\", expect_size=\"14204928\"] \n  27 [size=\"60112896\", alpha=\"0.15\", expect_size=\"30056448\"] \n  28 [size=\"85848064\", alpha=\"0.02\", expect_size=\"42924032\"] \n  29 [size=\"103680000\", alpha=\"0.18\", expect_size=\"51840000\"] \n  30 [size=\"50923520\", alpha=\"0.09\", expect_size=\"25461760\"] \n  31 [size=\"64509952\", alpha=\"0.10\", expect_size=\"32254976\"] \n  32 [size=\"38948864\", alpha=\"0.02\", expect_size=\"19474432\"] \n  33 [size=\"66785280\", alpha=\"0.15\", expect_size=\"33392640\"] \n  34 [size=\"45285376\", alpha=\"0.01\", expect_size=\"22642688\"] \n  35 [size=\"63025152\", alpha=\"0.00\", expect_size=\"31512576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130304000\", alpha=\"0.07\", expect_size=\"52121600\"] \n  1 -> 30 [size =\"52121600\"]\n  1 -> 31 [size =\"52121600\"]\n  1 -> 33 [size =\"52121600\"]\n  1 -> 34 [size =\"52121600\"]\n  2 [size=\"63797760\", alpha=\"0.14\", expect_size=\"25519104\"] \n  2 -> 28 [size =\"25519104\"]\n  2 -> 33 [size =\"25519104\"]\n  3 [size=\"75776000\", alpha=\"0.11\", expect_size=\"30310400\"] \n  3 -> 26 [size =\"30310400\"]\n  3 -> 29 [size =\"30310400\"]\n  3 -> 30 [size =\"30310400\"]\n  3 -> 33 [size =\"30310400\"]\n  4 [size=\"45335040\", alpha=\"0.03\", expect_size=\"18134016\"] \n  4 -> 28 [size =\"18134016\"]\n  4 -> 30 [size =\"18134016\"]\n  4 -> 30 [size =\"18134016\"]\n  4 -> 33 [size =\"18134016\"]\n  4 -> 35 [size =\"18134016\"]\n  5 [size=\"85509120\", alpha=\"0.14\", expect_size=\"34203648\"] \n  5 -> 29 [size =\"34203648\"]\n  5 -> 32 [size =\"34203648\"]\n  5 -> 33 [size =\"34203648\"]\n  5 -> 34 [size =\"34203648\"]\n  5 -> 35 [size =\"34203648\"]\n  6 [size=\"39887360\", alpha=\"0.07\", expect_size=\"15954944\"] \n  6 -> 26 [size =\"15954944\"]\n  6 -> 27 [size =\"15954944\"]\n  6 -> 29 [size =\"15954944\"]\n  7 [size=\"43043840\", alpha=\"0.19\", expect_size=\"17217536\"] \n  7 -> 26 [size =\"17217536\"]\n  8 [size=\"110581760\", alpha=\"0.17\", expect_size=\"44232704\"] \n  8 -> 27 [size =\"44232704\"]\n  8 -> 28 [size =\"44232704\"]\n  8 -> 30 [size =\"44232704\"]\n  8 -> 33 [size =\"44232704\"]\n  8 -> 35 [size =\"44232704\"]\n  9 [size=\"113633280\", alpha=\"0.10\", expect_size=\"45453312\"] \n  9 -> 26 [size =\"45453312\"]\n  9 -> 30 [size =\"45453312\"]\n  9 -> 35 [size =\"45453312\"]\n  10 [size=\"125381120\", alpha=\"0.05\", expect_size=\"50152448\"] \n  10 -> 35 [size =\"50152448\"]\n  11 [size=\"129208320\", alpha=\"0.05\", expect_size=\"51683328\"] \n  11 -> 26 [size =\"51683328\"]\n  11 -> 30 [size =\"51683328\"]\n  11 -> 34 [size =\"51683328\"]\n  12 [size=\"55336960\", alpha=\"0.01\", expect_size=\"22134784\"] \n  12 -> 30 [size =\"22134784\"]\n  12 -> 33 [size =\"22134784\"]\n  12 -> 34 [size =\"22134784\"]\n  12 -> 35 [size =\"22134784\"]\n  13 [size=\"21383680\", alpha=\"0.14\", expect_size=\"8553472\"] \n  13 -> 28 [size =\"8553472\"]\n  13 -> 30 [size =\"8553472\"]\n  13 -> 32 [size =\"8553472\"]\n  13 -> 34 [size =\"8553472\"]\n  13 -> 35 [size =\"8553472\"]\n  14 [size=\"85342720\", alpha=\"0.00\", expect_size=\"34137088\"] \n  14 -> 28 [size =\"34137088\"]\n  14 -> 30 [size =\"34137088\"]\n  14 -> 32 [size =\"34137088\"]\n  14 -> 33 [size =\"34137088\"]\n  15 [size=\"104074240\", alpha=\"0.09\", expect_size=\"41629696\"] \n  15 -> 29 [size =\"41629696\"]\n  15 -> 31 [size =\"41629696\"]\n  15 -> 34 [size =\"41629696\"]\n  15 -> 35 [size =\"41629696\"]\n  16 [size=\"66109440\", alpha=\"0.09\", expect_size=\"26443776\"] \n  16 -> 29 [size =\"26443776\"]\n  16 -> 30 [size =\"26443776\"]\n  17 [size=\"106693120\", alpha=\"0.10\", expect_size=\"42677248\"] \n  17 -> 26 [size =\"42677248\"]\n  17 -> 31 [size =\"42677248\"]\n  18 [size=\"103183360\", alpha=\"0.08\", expect_size=\"41273344\"] \n  18 -> 26 [size =\"41273344\"]\n  18 -> 28 [size =\"41273344\"]\n  18 -> 29 [size =\"41273344\"]\n  19 [size=\"88217600\", alpha=\"0.11\", expect_size=\"35287040\"] \n  19 -> 26 [size =\"35287040\"]\n  19 -> 28 [size =\"35287040\"]\n  20 [size=\"29593600\", alpha=\"0.10\", expect_size=\"11837440\"] \n  20 -> 28 [size =\"11837440\"]\n  20 -> 29 [size =\"11837440\"]\n  20 -> 33 [size =\"11837440\"]\n  21 [size=\"57210880\", alpha=\"0.09\", expect_size=\"22884352\"] \n  21 -> 33 [size =\"22884352\"]\n  21 -> 35 [size =\"22884352\"]\n  22 [size=\"85312000\", alpha=\"0.17\", expect_size=\"34124800\"] \n  22 -> 35 [size =\"34124800\"]\n  23 [size=\"91248640\", alpha=\"0.15\", expect_size=\"36499456\"] \n  23 -> 31 [size =\"36499456\"]\n  23 -> 34 [size =\"36499456\"]\n  24 [size=\"55654400\", alpha=\"0.19\", expect_size=\"22261760\"] \n  24 -> 26 [size =\"22261760\"]\n  24 -> 27 [size =\"22261760\"]\n  24 -> 28 [size =\"22261760\"]\n  24 -> 33 [size =\"22261760\"]\n  24 -> 34 [size =\"22261760\"]\n  25 [size=\"57487360\", alpha=\"0.15\", expect_size=\"22994944\"] \n  25 -> 29 [size =\"22994944\"]\n  25 -> 33 [size =\"22994944\"]\n  26 [size=\"108267520\", alpha=\"0.16\", expect_size=\"43307008\"] \n  27 [size=\"41492480\", alpha=\"0.01\", expect_size=\"16596992\"] \n  28 [size=\"99525120\", alpha=\"0.03\", expect_size=\"39810048\"] \n  29 [size=\"26795520\", alpha=\"0.03\", expect_size=\"10718208\"] \n  30 [size=\"91279360\", alpha=\"0.01\", expect_size=\"36511744\"] \n  31 [size=\"33095680\", alpha=\"0.19\", expect_size=\"13238272\"] \n  32 [size=\"87411200\", alpha=\"0.04\", expect_size=\"34964480\"] \n  33 [size=\"68981760\", alpha=\"0.10\", expect_size=\"27592704\"] \n  34 [size=\"40483840\", alpha=\"0.09\", expect_size=\"16193536\"] \n  35 [size=\"34142720\", alpha=\"0.03\", expect_size=\"13657088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88849920\", alpha=\"0.07\", expect_size=\"35539968\"] \n  1 -> 18 [size =\"35539968\"]\n  1 -> 20 [size =\"35539968\"]\n  1 -> 21 [size =\"35539968\"]\n  1 -> 24 [size =\"35539968\"]\n  1 -> 26 [size =\"35539968\"]\n  1 -> 27 [size =\"35539968\"]\n  1 -> 32 [size =\"35539968\"]\n  2 [size=\"16837120\", alpha=\"0.13\", expect_size=\"6734848\"] \n  2 -> 19 [size =\"6734848\"]\n  2 -> 20 [size =\"6734848\"]\n  2 -> 24 [size =\"6734848\"]\n  2 -> 24 [size =\"6734848\"]\n  2 -> 26 [size =\"6734848\"]\n  2 -> 27 [size =\"6734848\"]\n  2 -> 28 [size =\"6734848\"]\n  2 -> 32 [size =\"6734848\"]\n  3 [size=\"109186560\", alpha=\"0.12\", expect_size=\"43674624\"] \n  3 -> 20 [size =\"43674624\"]\n  3 -> 21 [size =\"43674624\"]\n  3 -> 23 [size =\"43674624\"]\n  3 -> 28 [size =\"43674624\"]\n  3 -> 32 [size =\"43674624\"]\n  4 [size=\"26869760\", alpha=\"0.02\", expect_size=\"10747904\"] \n  4 -> 19 [size =\"10747904\"]\n  4 -> 20 [size =\"10747904\"]\n  4 -> 24 [size =\"10747904\"]\n  4 -> 26 [size =\"10747904\"]\n  4 -> 27 [size =\"10747904\"]\n  4 -> 29 [size =\"10747904\"]\n  4 -> 31 [size =\"10747904\"]\n  4 -> 32 [size =\"10747904\"]\n  5 [size=\"52088320\", alpha=\"0.05\", expect_size=\"20835328\"] \n  5 -> 18 [size =\"20835328\"]\n  5 -> 19 [size =\"20835328\"]\n  5 -> 20 [size =\"20835328\"]\n  5 -> 21 [size =\"20835328\"]\n  5 -> 23 [size =\"20835328\"]\n  5 -> 24 [size =\"20835328\"]\n  5 -> 26 [size =\"20835328\"]\n  5 -> 28 [size =\"20835328\"]\n  5 -> 29 [size =\"20835328\"]\n  6 [size=\"58603520\", alpha=\"0.08\", expect_size=\"23441408\"] \n  6 -> 18 [size =\"23441408\"]\n  6 -> 20 [size =\"23441408\"]\n  6 -> 20 [size =\"23441408\"]\n  6 -> 21 [size =\"23441408\"]\n  6 -> 22 [size =\"23441408\"]\n  6 -> 24 [size =\"23441408\"]\n  6 -> 26 [size =\"23441408\"]\n  6 -> 28 [size =\"23441408\"]\n  6 -> 29 [size =\"23441408\"]\n  6 -> 32 [size =\"23441408\"]\n  6 -> 33 [size =\"23441408\"]\n  7 [size=\"91143680\", alpha=\"0.11\", expect_size=\"36457472\"] \n  7 -> 18 [size =\"36457472\"]\n  7 -> 20 [size =\"36457472\"]\n  7 -> 21 [size =\"36457472\"]\n  7 -> 22 [size =\"36457472\"]\n  7 -> 22 [size =\"36457472\"]\n  7 -> 24 [size =\"36457472\"]\n  7 -> 25 [size =\"36457472\"]\n  7 -> 26 [size =\"36457472\"]\n  7 -> 28 [size =\"36457472\"]\n  7 -> 29 [size =\"36457472\"]\n  7 -> 32 [size =\"36457472\"]\n  8 [size=\"112770560\", alpha=\"0.05\", expect_size=\"45108224\"] \n  8 -> 20 [size =\"45108224\"]\n  8 -> 20 [size =\"45108224\"]\n  8 -> 26 [size =\"45108224\"]\n  8 -> 27 [size =\"45108224\"]\n  8 -> 28 [size =\"45108224\"]\n  8 -> 29 [size =\"45108224\"]\n  8 -> 30 [size =\"45108224\"]\n  8 -> 32 [size =\"45108224\"]\n  9 [size=\"18664960\", alpha=\"0.11\", expect_size=\"7465984\"] \n  9 -> 18 [size =\"7465984\"]\n  9 -> 19 [size =\"7465984\"]\n  9 -> 26 [size =\"7465984\"]\n  9 -> 27 [size =\"7465984\"]\n  9 -> 28 [size =\"7465984\"]\n  9 -> 29 [size =\"7465984\"]\n  9 -> 30 [size =\"7465984\"]\n  9 -> 32 [size =\"7465984\"]\n  9 -> 33 [size =\"7465984\"]\n  10 [size=\"93744640\", alpha=\"0.08\", expect_size=\"37497856\"] \n  10 -> 18 [size =\"37497856\"]\n  10 -> 19 [size =\"37497856\"]\n  10 -> 21 [size =\"37497856\"]\n  10 -> 22 [size =\"37497856\"]\n  10 -> 24 [size =\"37497856\"]\n  10 -> 26 [size =\"37497856\"]\n  10 -> 27 [size =\"37497856\"]\n  10 -> 28 [size =\"37497856\"]\n  10 -> 29 [size =\"37497856\"]\n  10 -> 32 [size =\"37497856\"]\n  10 -> 33 [size =\"37497856\"]\n  11 [size=\"105154560\", alpha=\"0.13\", expect_size=\"42061824\"] \n  11 -> 18 [size =\"42061824\"]\n  11 -> 21 [size =\"42061824\"]\n  11 -> 21 [size =\"42061824\"]\n  11 -> 22 [size =\"42061824\"]\n  11 -> 24 [size =\"42061824\"]\n  11 -> 26 [size =\"42061824\"]\n  11 -> 29 [size =\"42061824\"]\n  11 -> 30 [size =\"42061824\"]\n  11 -> 32 [size =\"42061824\"]\n  12 [size=\"30681600\", alpha=\"0.09\", expect_size=\"12272640\"] \n  12 -> 18 [size =\"12272640\"]\n  12 -> 20 [size =\"12272640\"]\n  12 -> 21 [size =\"12272640\"]\n  12 -> 24 [size =\"12272640\"]\n  12 -> 26 [size =\"12272640\"]\n  12 -> 26 [size =\"12272640\"]\n  12 -> 28 [size =\"12272640\"]\n  12 -> 30 [size =\"12272640\"]\n  12 -> 33 [size =\"12272640\"]\n  13 [size=\"106048000\", alpha=\"0.00\", expect_size=\"42419200\"] \n  13 -> 19 [size =\"42419200\"]\n  13 -> 20 [size =\"42419200\"]\n  13 -> 21 [size =\"42419200\"]\n  13 -> 22 [size =\"42419200\"]\n  13 -> 24 [size =\"42419200\"]\n  13 -> 29 [size =\"42419200\"]\n  13 -> 30 [size =\"42419200\"]\n  13 -> 33 [size =\"42419200\"]\n  13 -> 33 [size =\"42419200\"]\n  14 [size=\"58007040\", alpha=\"0.15\", expect_size=\"23202816\"] \n  14 -> 18 [size =\"23202816\"]\n  14 -> 20 [size =\"23202816\"]\n  14 -> 22 [size =\"23202816\"]\n  14 -> 23 [size =\"23202816\"]\n  14 -> 24 [size =\"23202816\"]\n  14 -> 26 [size =\"23202816\"]\n  14 -> 32 [size =\"23202816\"]\n  14 -> 33 [size =\"23202816\"]\n  15 [size=\"68810240\", alpha=\"0.06\", expect_size=\"27524096\"] \n  15 -> 20 [size =\"27524096\"]\n  15 -> 21 [size =\"27524096\"]\n  15 -> 26 [size =\"27524096\"]\n  15 -> 27 [size =\"27524096\"]\n  15 -> 28 [size =\"27524096\"]\n  15 -> 29 [size =\"27524096\"]\n  15 -> 32 [size =\"27524096\"]\n  15 -> 33 [size =\"27524096\"]\n  16 [size=\"98160640\", alpha=\"0.19\", expect_size=\"39264256\"] \n  16 -> 21 [size =\"39264256\"]\n  16 -> 22 [size =\"39264256\"]\n  16 -> 23 [size =\"39264256\"]\n  16 -> 24 [size =\"39264256\"]\n  16 -> 25 [size =\"39264256\"]\n  16 -> 32 [size =\"39264256\"]\n  16 -> 32 [size =\"39264256\"]\n  16 -> 33 [size =\"39264256\"]\n  17 [size=\"26209280\", alpha=\"0.16\", expect_size=\"10483712\"] \n  17 -> 21 [size =\"10483712\"]\n  17 -> 22 [size =\"10483712\"]\n  17 -> 23 [size =\"10483712\"]\n  17 -> 24 [size =\"10483712\"]\n  17 -> 26 [size =\"10483712\"]\n  17 -> 32 [size =\"10483712\"]\n  17 -> 33 [size =\"10483712\"]\n  18 [size=\"92037120\", alpha=\"0.13\", expect_size=\"36814848\"] \n  18 -> 35 [size =\"36814848\"]\n  19 [size=\"122552320\", alpha=\"0.16\", expect_size=\"49020928\"] \n  19 -> 35 [size =\"49020928\"]\n  20 [size=\"71050240\", alpha=\"0.19\", expect_size=\"28420096\"] \n  21 [size=\"120404480\", alpha=\"0.14\", expect_size=\"48161792\"] \n  22 [size=\"79815680\", alpha=\"0.10\", expect_size=\"31926272\"] \n  23 [size=\"15301120\", alpha=\"0.02\", expect_size=\"6120448\"] \n  23 -> 34 [size =\"6120448\"]\n  24 [size=\"16281600\", alpha=\"0.16\", expect_size=\"6512640\"] \n  24 -> 35 [size =\"6512640\"]\n  25 [size=\"106375680\", alpha=\"0.18\", expect_size=\"42550272\"] \n  26 [size=\"23462400\", alpha=\"0.06\", expect_size=\"9384960\"] \n  26 -> 35 [size =\"9384960\"]\n  27 [size=\"18227200\", alpha=\"0.08\", expect_size=\"7290880\"] \n  28 [size=\"115069440\", alpha=\"0.07\", expect_size=\"46027776\"] \n  28 -> 35 [size =\"46027776\"]\n  29 [size=\"72673280\", alpha=\"0.07\", expect_size=\"29069312\"] \n  30 [size=\"50841600\", alpha=\"0.01\", expect_size=\"20336640\"] \n  31 [size=\"43182080\", alpha=\"0.10\", expect_size=\"17272832\"] \n  31 -> 34 [size =\"17272832\"]\n  31 -> 35 [size =\"17272832\"]\n  32 [size=\"125447680\", alpha=\"0.02\", expect_size=\"50179072\"] \n  33 [size=\"65436160\", alpha=\"0.10\", expect_size=\"26174464\"] \n  33 -> 34 [size =\"26174464\"]\n  33 -> 35 [size =\"26174464\"]\n  34 [size=\"77191680\", alpha=\"0.06\", expect_size=\"30876672\"] \n  35 [size=\"56514560\", alpha=\"0.11\", expect_size=\"22605824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91105280\", alpha=\"0.11\", expect_size=\"27331584\"] \n  1 -> 2 [size =\"27331584\"]\n  2 [size=\"73144320\", alpha=\"0.01\", expect_size=\"21943296\"] \n  2 -> 3 [size =\"21943296\"]\n  3 [size=\"163201707\", alpha=\"0.09\", expect_size=\"48960512\"] \n  3 -> 4 [size =\"48960512\"]\n  4 [size=\"140745387\", alpha=\"0.04\", expect_size=\"42223616\"] \n  4 -> 5 [size =\"42223616\"]\n  5 [size=\"45533867\", alpha=\"0.19\", expect_size=\"13660160\"] \n  5 -> 6 [size =\"13660160\"]\n  6 [size=\"42386773\", alpha=\"0.05\", expect_size=\"12716032\"] \n  6 -> 7 [size =\"12716032\"]\n  7 [size=\"163266560\", alpha=\"0.01\", expect_size=\"48979968\"] \n  7 -> 8 [size =\"48979968\"]\n  8 [size=\"127955627\", alpha=\"0.19\", expect_size=\"38386688\"] \n  8 -> 9 [size =\"38386688\"]\n  9 [size=\"105335467\", alpha=\"0.08\", expect_size=\"31600640\"] \n  9 -> 10 [size =\"31600640\"]\n  10 [size=\"108199253\", alpha=\"0.10\", expect_size=\"32459776\"] \n  10 -> 11 [size =\"32459776\"]\n  11 [size=\"76704427\", alpha=\"0.08\", expect_size=\"23011328\"] \n  11 -> 12 [size =\"23011328\"]\n  12 [size=\"163604480\", alpha=\"0.11\", expect_size=\"49081344\"] \n  12 -> 13 [size =\"49081344\"]\n  13 [size=\"169120427\", alpha=\"0.13\", expect_size=\"50736128\"] \n  13 -> 14 [size =\"50736128\"]\n  14 [size=\"83049813\", alpha=\"0.16\", expect_size=\"24914944\"] \n  14 -> 15 [size =\"24914944\"]\n  15 [size=\"114589013\", alpha=\"0.15\", expect_size=\"34376704\"] \n  15 -> 16 [size =\"34376704\"]\n  16 [size=\"109899093\", alpha=\"0.14\", expect_size=\"32969728\"] \n  16 -> 17 [size =\"32969728\"]\n  17 [size=\"147189760\", alpha=\"0.09\", expect_size=\"44156928\"] \n  17 -> 18 [size =\"44156928\"]\n  18 [size=\"153047040\", alpha=\"0.17\", expect_size=\"45914112\"] \n  18 -> 19 [size =\"45914112\"]\n  19 [size=\"148398080\", alpha=\"0.09\", expect_size=\"44519424\"] \n  19 -> 20 [size =\"44519424\"]\n  20 [size=\"50858667\", alpha=\"0.19\", expect_size=\"15257600\"] \n  20 -> 21 [size =\"15257600\"]\n  21 [size=\"127873707\", alpha=\"0.17\", expect_size=\"38362112\"] \n  21 -> 22 [size =\"38362112\"]\n  22 [size=\"34727253\", alpha=\"0.03\", expect_size=\"10418176\"] \n  22 -> 23 [size =\"10418176\"]\n  23 [size=\"124917760\", alpha=\"0.07\", expect_size=\"37475328\"] \n  23 -> 24 [size =\"37475328\"]\n  24 [size=\"70294187\", alpha=\"0.07\", expect_size=\"21088256\"] \n  24 -> 25 [size =\"21088256\"]\n  25 [size=\"39383040\", alpha=\"0.11\", expect_size=\"11814912\"] \n  25 -> 26 [size =\"11814912\"]\n  26 [size=\"153825280\", alpha=\"0.18\", expect_size=\"46147584\"] \n  26 -> 27 [size =\"46147584\"]\n  27 [size=\"103785813\", alpha=\"0.03\", expect_size=\"31135744\"] \n  27 -> 28 [size =\"31135744\"]\n  28 [size=\"171571200\", alpha=\"0.02\", expect_size=\"51471360\"] \n  28 -> 29 [size =\"51471360\"]\n  29 [size=\"148295680\", alpha=\"0.13\", expect_size=\"44488704\"] \n  29 -> 30 [size =\"44488704\"]\n  30 [size=\"62859947\", alpha=\"0.15\", expect_size=\"18857984\"] \n  30 -> 31 [size =\"18857984\"]\n  31 [size=\"51128320\", alpha=\"0.05\", expect_size=\"15338496\"] \n  31 -> 32 [size =\"15338496\"]\n  32 [size=\"29443413\", alpha=\"0.13\", expect_size=\"8833024\"] \n  32 -> 33 [size =\"8833024\"]\n  33 [size=\"53483520\", alpha=\"0.00\", expect_size=\"16045056\"] \n  33 -> 34 [size =\"16045056\"]\n  34 [size=\"111680853\", alpha=\"0.16\", expect_size=\"33504256\"] \n  34 -> 35 [size =\"33504256\"]\n  35 [size=\"170021547\", alpha=\"0.04\", expect_size=\"51006464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31537152\", alpha=\"0.16\", expect_size=\"15768576\"] \n  1 -> 3 [size =\"15768576\"]\n  1 -> 4 [size =\"15768576\"]\n  2 [size=\"60264448\", alpha=\"0.02\", expect_size=\"30132224\"] \n  2 -> 3 [size =\"30132224\"]\n  3 [size=\"48498688\", alpha=\"0.18\", expect_size=\"24249344\"] \n  4 [size=\"40712192\", alpha=\"0.03\", expect_size=\"20356096\"] \n  4 -> 5 [size =\"20356096\"]\n  4 -> 6 [size =\"20356096\"]\n  5 [size=\"37832704\", alpha=\"0.00\", expect_size=\"18916352\"] \n  5 -> 8 [size =\"18916352\"]\n  6 [size=\"98746368\", alpha=\"0.05\", expect_size=\"49373184\"] \n  6 -> 7 [size =\"49373184\"]\n  6 -> 8 [size =\"49373184\"]\n  7 [size=\"24424448\", alpha=\"0.16\", expect_size=\"12212224\"] \n  7 -> 9 [size =\"12212224\"]\n  8 [size=\"39280640\", alpha=\"0.02\", expect_size=\"19640320\"] \n  9 [size=\"52930560\", alpha=\"0.05\", expect_size=\"26465280\"] \n  9 -> 10 [size =\"26465280\"]\n  10 [size=\"87056384\", alpha=\"0.06\", expect_size=\"43528192\"] \n  10 -> 11 [size =\"43528192\"]\n  10 -> 12 [size =\"43528192\"]\n  11 [size=\"62797824\", alpha=\"0.17\", expect_size=\"31398912\"] \n  11 -> 13 [size =\"31398912\"]\n  12 [size=\"44359680\", alpha=\"0.03\", expect_size=\"22179840\"] \n  12 -> 13 [size =\"22179840\"]\n  13 [size=\"55517184\", alpha=\"0.19\", expect_size=\"27758592\"] \n  13 -> 14 [size =\"27758592\"]\n  13 -> 15 [size =\"27758592\"]\n  14 [size=\"47925248\", alpha=\"0.05\", expect_size=\"23962624\"] \n  14 -> 17 [size =\"23962624\"]\n  15 [size=\"63459328\", alpha=\"0.19\", expect_size=\"31729664\"] \n  15 -> 16 [size =\"31729664\"]\n  16 [size=\"65097728\", alpha=\"0.06\", expect_size=\"32548864\"] \n  16 -> 19 [size =\"32548864\"]\n  17 [size=\"88532992\", alpha=\"0.02\", expect_size=\"44266496\"] \n  17 -> 18 [size =\"44266496\"]\n  17 -> 19 [size =\"44266496\"]\n  18 [size=\"69238784\", alpha=\"0.03\", expect_size=\"34619392\"] \n  19 [size=\"77637632\", alpha=\"0.09\", expect_size=\"38818816\"] \n  19 -> 20 [size =\"38818816\"]\n  20 [size=\"101625856\", alpha=\"0.19\", expect_size=\"50812928\"] \n  20 -> 21 [size =\"50812928\"]\n  21 [size=\"33699840\", alpha=\"0.14\", expect_size=\"16849920\"] \n  21 -> 22 [size =\"16849920\"]\n  22 [size=\"20398080\", alpha=\"0.19\", expect_size=\"10199040\"] \n  22 -> 23 [size =\"10199040\"]\n  22 -> 24 [size =\"10199040\"]\n  23 [size=\"35125248\", alpha=\"0.12\", expect_size=\"17562624\"] \n  23 -> 25 [size =\"17562624\"]\n  24 [size=\"31064064\", alpha=\"0.11\", expect_size=\"15532032\"] \n  24 -> 25 [size =\"15532032\"]\n  25 [size=\"52549632\", alpha=\"0.17\", expect_size=\"26274816\"] \n  25 -> 26 [size =\"26274816\"]\n  26 [size=\"49817600\", alpha=\"0.01\", expect_size=\"24908800\"] \n  26 -> 27 [size =\"24908800\"]\n  27 [size=\"78323712\", alpha=\"0.08\", expect_size=\"39161856\"] \n  27 -> 28 [size =\"39161856\"]\n  28 [size=\"86734848\", alpha=\"0.01\", expect_size=\"43367424\"] \n  28 -> 29 [size =\"43367424\"]\n  29 [size=\"98840576\", alpha=\"0.03\", expect_size=\"49420288\"] \n  29 -> 30 [size =\"49420288\"]\n  30 [size=\"48252928\", alpha=\"0.01\", expect_size=\"24126464\"] \n  30 -> 31 [size =\"24126464\"]\n  31 [size=\"44939264\", alpha=\"0.10\", expect_size=\"22469632\"] \n  31 -> 32 [size =\"22469632\"]\n  32 [size=\"15583232\", alpha=\"0.07\", expect_size=\"7791616\"] \n  32 -> 33 [size =\"7791616\"]\n  33 [size=\"104333312\", alpha=\"0.13\", expect_size=\"52166656\"] \n  33 -> 34 [size =\"52166656\"]\n  33 -> 35 [size =\"52166656\"]\n  34 [size=\"66088960\", alpha=\"0.07\", expect_size=\"33044480\"] \n  35 [size=\"25452544\", alpha=\"0.12\", expect_size=\"12726272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96387072\", alpha=\"0.07\", expect_size=\"48193536\"] \n  1 -> 32 [size =\"48193536\"]\n  1 -> 34 [size =\"48193536\"]\n  2 [size=\"75685888\", alpha=\"0.01\", expect_size=\"37842944\"] \n  2 -> 26 [size =\"37842944\"]\n  2 -> 28 [size =\"37842944\"]\n  2 -> 31 [size =\"37842944\"]\n  2 -> 34 [size =\"37842944\"]\n  3 [size=\"101900288\", alpha=\"0.02\", expect_size=\"50950144\"] \n  3 -> 26 [size =\"50950144\"]\n  3 -> 27 [size =\"50950144\"]\n  3 -> 28 [size =\"50950144\"]\n  3 -> 30 [size =\"50950144\"]\n  3 -> 32 [size =\"50950144\"]\n  4 [size=\"16195584\", alpha=\"0.11\", expect_size=\"8097792\"] \n  4 -> 30 [size =\"8097792\"]\n  4 -> 33 [size =\"8097792\"]\n  5 [size=\"13989888\", alpha=\"0.12\", expect_size=\"6994944\"] \n  5 -> 25 [size =\"6994944\"]\n  5 -> 27 [size =\"6994944\"]\n  5 -> 30 [size =\"6994944\"]\n  5 -> 34 [size =\"6994944\"]\n  5 -> 35 [size =\"6994944\"]\n  6 [size=\"88797184\", alpha=\"0.13\", expect_size=\"44398592\"] \n  6 -> 30 [size =\"44398592\"]\n  6 -> 31 [size =\"44398592\"]\n  6 -> 32 [size =\"44398592\"]\n  6 -> 34 [size =\"44398592\"]\n  6 -> 35 [size =\"44398592\"]\n  7 [size=\"87785472\", alpha=\"0.02\", expect_size=\"43892736\"] \n  7 -> 26 [size =\"43892736\"]\n  7 -> 27 [size =\"43892736\"]\n  7 -> 28 [size =\"43892736\"]\n  7 -> 30 [size =\"43892736\"]\n  7 -> 31 [size =\"43892736\"]\n  7 -> 33 [size =\"43892736\"]\n  7 -> 34 [size =\"43892736\"]\n  8 [size=\"36820992\", alpha=\"0.14\", expect_size=\"18410496\"] \n  8 -> 27 [size =\"18410496\"]\n  8 -> 28 [size =\"18410496\"]\n  8 -> 30 [size =\"18410496\"]\n  8 -> 31 [size =\"18410496\"]\n  8 -> 34 [size =\"18410496\"]\n  8 -> 35 [size =\"18410496\"]\n  9 [size=\"58710016\", alpha=\"0.15\", expect_size=\"29355008\"] \n  9 -> 25 [size =\"29355008\"]\n  9 -> 28 [size =\"29355008\"]\n  9 -> 30 [size =\"29355008\"]\n  9 -> 34 [size =\"29355008\"]\n  9 -> 35 [size =\"29355008\"]\n  10 [size=\"51970048\", alpha=\"0.06\", expect_size=\"25985024\"] \n  10 -> 26 [size =\"25985024\"]\n  10 -> 28 [size =\"25985024\"]\n  10 -> 31 [size =\"25985024\"]\n  10 -> 35 [size =\"25985024\"]\n  11 [size=\"83376128\", alpha=\"0.08\", expect_size=\"41688064\"] \n  11 -> 26 [size =\"41688064\"]\n  11 -> 28 [size =\"41688064\"]\n  11 -> 34 [size =\"41688064\"]\n  11 -> 35 [size =\"41688064\"]\n  12 [size=\"21194752\", alpha=\"0.02\", expect_size=\"10597376\"] \n  12 -> 26 [size =\"10597376\"]\n  12 -> 27 [size =\"10597376\"]\n  12 -> 28 [size =\"10597376\"]\n  12 -> 34 [size =\"10597376\"]\n  13 [size=\"27488256\", alpha=\"0.18\", expect_size=\"13744128\"] \n  13 -> 26 [size =\"13744128\"]\n  13 -> 28 [size =\"13744128\"]\n  13 -> 29 [size =\"13744128\"]\n  13 -> 35 [size =\"13744128\"]\n  14 [size=\"38000640\", alpha=\"0.09\", expect_size=\"19000320\"] \n  14 -> 26 [size =\"19000320\"]\n  14 -> 28 [size =\"19000320\"]\n  14 -> 31 [size =\"19000320\"]\n  15 [size=\"91365376\", alpha=\"0.00\", expect_size=\"45682688\"] \n  15 -> 25 [size =\"45682688\"]\n  15 -> 27 [size =\"45682688\"]\n  15 -> 28 [size =\"45682688\"]\n  15 -> 30 [size =\"45682688\"]\n  15 -> 31 [size =\"45682688\"]\n  15 -> 32 [size =\"45682688\"]\n  16 [size=\"55736320\", alpha=\"0.01\", expect_size=\"27868160\"] \n  16 -> 25 [size =\"27868160\"]\n  16 -> 27 [size =\"27868160\"]\n  16 -> 28 [size =\"27868160\"]\n  16 -> 29 [size =\"27868160\"]\n  16 -> 30 [size =\"27868160\"]\n  16 -> 31 [size =\"27868160\"]\n  16 -> 32 [size =\"27868160\"]\n  17 [size=\"20725760\", alpha=\"0.01\", expect_size=\"10362880\"] \n  17 -> 26 [size =\"10362880\"]\n  17 -> 27 [size =\"10362880\"]\n  17 -> 31 [size =\"10362880\"]\n  17 -> 34 [size =\"10362880\"]\n  18 [size=\"28430336\", alpha=\"0.05\", expect_size=\"14215168\"] \n  18 -> 27 [size =\"14215168\"]\n  18 -> 31 [size =\"14215168\"]\n  19 [size=\"94001152\", alpha=\"0.09\", expect_size=\"47000576\"] \n  19 -> 27 [size =\"47000576\"]\n  19 -> 35 [size =\"47000576\"]\n  20 [size=\"68380672\", alpha=\"0.07\", expect_size=\"34190336\"] \n  20 -> 27 [size =\"34190336\"]\n  20 -> 30 [size =\"34190336\"]\n  20 -> 34 [size =\"34190336\"]\n  21 [size=\"98959360\", alpha=\"0.02\", expect_size=\"49479680\"] \n  21 -> 27 [size =\"49479680\"]\n  21 -> 28 [size =\"49479680\"]\n  22 [size=\"40998912\", alpha=\"0.12\", expect_size=\"20499456\"] \n  22 -> 25 [size =\"20499456\"]\n  22 -> 26 [size =\"20499456\"]\n  22 -> 30 [size =\"20499456\"]\n  22 -> 31 [size =\"20499456\"]\n  22 -> 34 [size =\"20499456\"]\n  23 [size=\"48769024\", alpha=\"0.01\", expect_size=\"24384512\"] \n  23 -> 25 [size =\"24384512\"]\n  23 -> 26 [size =\"24384512\"]\n  23 -> 27 [size =\"24384512\"]\n  23 -> 29 [size =\"24384512\"]\n  23 -> 30 [size =\"24384512\"]\n  23 -> 31 [size =\"24384512\"]\n  23 -> 34 [size =\"24384512\"]\n  24 [size=\"39622656\", alpha=\"0.11\", expect_size=\"19811328\"] \n  24 -> 25 [size =\"19811328\"]\n  24 -> 26 [size =\"19811328\"]\n  24 -> 28 [size =\"19811328\"]\n  24 -> 29 [size =\"19811328\"]\n  24 -> 34 [size =\"19811328\"]\n  25 [size=\"79761408\", alpha=\"0.01\", expect_size=\"39880704\"] \n  26 [size=\"80758784\", alpha=\"0.09\", expect_size=\"40379392\"] \n  27 [size=\"85661696\", alpha=\"0.12\", expect_size=\"42830848\"] \n  28 [size=\"88903680\", alpha=\"0.02\", expect_size=\"44451840\"] \n  29 [size=\"18235392\", alpha=\"0.01\", expect_size=\"9117696\"] \n  30 [size=\"62044160\", alpha=\"0.10\", expect_size=\"31022080\"] \n  31 [size=\"93663232\", alpha=\"0.13\", expect_size=\"46831616\"] \n  32 [size=\"104624128\", alpha=\"0.20\", expect_size=\"52312064\"] \n  33 [size=\"65757184\", alpha=\"0.09\", expect_size=\"32878592\"] \n  34 [size=\"68476928\", alpha=\"0.05\", expect_size=\"34238464\"] \n  35 [size=\"24123392\", alpha=\"0.17\", expect_size=\"12061696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30172160\", alpha=\"0.12\", expect_size=\"12068864\"] \n  1 -> 4 [size =\"12068864\"]\n  2 [size=\"119582720\", alpha=\"0.12\", expect_size=\"47833088\"] \n  2 -> 3 [size =\"47833088\"]\n  2 -> 4 [size =\"47833088\"]\n  3 [size=\"97108480\", alpha=\"0.12\", expect_size=\"38843392\"] \n  4 [size=\"120542720\", alpha=\"0.05\", expect_size=\"48217088\"] \n  4 -> 5 [size =\"48217088\"]\n  5 [size=\"51466240\", alpha=\"0.16\", expect_size=\"20586496\"] \n  5 -> 6 [size =\"20586496\"]\n  6 [size=\"49715200\", alpha=\"0.04\", expect_size=\"19886080\"] \n  6 -> 7 [size =\"19886080\"]\n  7 [size=\"87334400\", alpha=\"0.04\", expect_size=\"34933760\"] \n  7 -> 8 [size =\"34933760\"]\n  7 -> 9 [size =\"34933760\"]\n  8 [size=\"87037440\", alpha=\"0.11\", expect_size=\"34814976\"] \n  8 -> 10 [size =\"34814976\"]\n  9 [size=\"18560000\", alpha=\"0.10\", expect_size=\"7424000\"] \n  10 [size=\"87116800\", alpha=\"0.11\", expect_size=\"34846720\"] \n  10 -> 11 [size =\"34846720\"]\n  11 [size=\"47552000\", alpha=\"0.19\", expect_size=\"19020800\"] \n  11 -> 12 [size =\"19020800\"]\n  11 -> 13 [size =\"19020800\"]\n  12 [size=\"117237760\", alpha=\"0.00\", expect_size=\"46895104\"] \n  12 -> 14 [size =\"46895104\"]\n  12 -> 15 [size =\"46895104\"]\n  13 [size=\"68559360\", alpha=\"0.15\", expect_size=\"27423744\"] \n  13 -> 14 [size =\"27423744\"]\n  13 -> 15 [size =\"27423744\"]\n  14 [size=\"21411840\", alpha=\"0.13\", expect_size=\"8564736\"] \n  14 -> 16 [size =\"8564736\"]\n  15 [size=\"48535040\", alpha=\"0.15\", expect_size=\"19414016\"] \n  15 -> 16 [size =\"19414016\"]\n  15 -> 17 [size =\"19414016\"]\n  16 [size=\"25687040\", alpha=\"0.09\", expect_size=\"10274816\"] \n  16 -> 18 [size =\"10274816\"]\n  17 [size=\"47736320\", alpha=\"0.06\", expect_size=\"19094528\"] \n  17 -> 18 [size =\"19094528\"]\n  18 [size=\"71692800\", alpha=\"0.13\", expect_size=\"28677120\"] \n  18 -> 19 [size =\"28677120\"]\n  19 [size=\"19402240\", alpha=\"0.19\", expect_size=\"7760896\"] \n  19 -> 20 [size =\"7760896\"]\n  20 [size=\"80176640\", alpha=\"0.15\", expect_size=\"32070656\"] \n  20 -> 21 [size =\"32070656\"]\n  21 [size=\"24775680\", alpha=\"0.13\", expect_size=\"9910272\"] \n  21 -> 22 [size =\"9910272\"]\n  21 -> 23 [size =\"9910272\"]\n  22 [size=\"19335680\", alpha=\"0.10\", expect_size=\"7734272\"] \n  22 -> 24 [size =\"7734272\"]\n  23 [size=\"20866560\", alpha=\"0.01\", expect_size=\"8346624\"] \n  23 -> 24 [size =\"8346624\"]\n  24 [size=\"106936320\", alpha=\"0.10\", expect_size=\"42774528\"] \n  24 -> 25 [size =\"42774528\"]\n  25 [size=\"66078720\", alpha=\"0.05\", expect_size=\"26431488\"] \n  25 -> 26 [size =\"26431488\"]\n  26 [size=\"34493440\", alpha=\"0.07\", expect_size=\"13797376\"] \n  26 -> 27 [size =\"13797376\"]\n  26 -> 28 [size =\"13797376\"]\n  27 [size=\"86208000\", alpha=\"0.01\", expect_size=\"34483200\"] \n  27 -> 30 [size =\"34483200\"]\n  28 [size=\"122782720\", alpha=\"0.08\", expect_size=\"49113088\"] \n  28 -> 29 [size =\"49113088\"]\n  28 -> 30 [size =\"49113088\"]\n  29 [size=\"83028480\", alpha=\"0.16\", expect_size=\"33211392\"] \n  29 -> 31 [size =\"33211392\"]\n  29 -> 32 [size =\"33211392\"]\n  30 [size=\"78671360\", alpha=\"0.16\", expect_size=\"31468544\"] \n  30 -> 31 [size =\"31468544\"]\n  30 -> 32 [size =\"31468544\"]\n  31 [size=\"48412160\", alpha=\"0.02\", expect_size=\"19364864\"] \n  31 -> 33 [size =\"19364864\"]\n  32 [size=\"127278080\", alpha=\"0.06\", expect_size=\"50911232\"] \n  32 -> 33 [size =\"50911232\"]\n  33 [size=\"67855360\", alpha=\"0.19\", expect_size=\"27142144\"] \n  33 -> 34 [size =\"27142144\"]\n  34 [size=\"72110080\", alpha=\"0.14\", expect_size=\"28844032\"] \n  34 -> 35 [size =\"28844032\"]\n  35 [size=\"129518080\", alpha=\"0.15\", expect_size=\"51807232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64784384\", alpha=\"0.05\", expect_size=\"32392192\"] \n  1 -> 7 [size =\"32392192\"]\n  1 -> 8 [size =\"32392192\"]\n  1 -> 9 [size =\"32392192\"]\n  1 -> 10 [size =\"32392192\"]\n  1 -> 11 [size =\"32392192\"]\n  1 -> 13 [size =\"32392192\"]\n  1 -> 14 [size =\"32392192\"]\n  1 -> 15 [size =\"32392192\"]\n  1 -> 16 [size =\"32392192\"]\n  1 -> 17 [size =\"32392192\"]\n  2 [size=\"75802624\", alpha=\"0.13\", expect_size=\"37901312\"] \n  2 -> 7 [size =\"37901312\"]\n  2 -> 8 [size =\"37901312\"]\n  2 -> 9 [size =\"37901312\"]\n  2 -> 12 [size =\"37901312\"]\n  2 -> 13 [size =\"37901312\"]\n  2 -> 16 [size =\"37901312\"]\n  3 [size=\"30306304\", alpha=\"0.06\", expect_size=\"15153152\"] \n  3 -> 7 [size =\"15153152\"]\n  3 -> 8 [size =\"15153152\"]\n  3 -> 9 [size =\"15153152\"]\n  3 -> 11 [size =\"15153152\"]\n  3 -> 12 [size =\"15153152\"]\n  3 -> 13 [size =\"15153152\"]\n  3 -> 14 [size =\"15153152\"]\n  3 -> 16 [size =\"15153152\"]\n  4 [size=\"58234880\", alpha=\"0.17\", expect_size=\"29117440\"] \n  4 -> 9 [size =\"29117440\"]\n  4 -> 11 [size =\"29117440\"]\n  4 -> 12 [size =\"29117440\"]\n  4 -> 13 [size =\"29117440\"]\n  4 -> 15 [size =\"29117440\"]\n  4 -> 16 [size =\"29117440\"]\n  5 [size=\"94468096\", alpha=\"0.06\", expect_size=\"47234048\"] \n  5 -> 7 [size =\"47234048\"]\n  5 -> 8 [size =\"47234048\"]\n  5 -> 9 [size =\"47234048\"]\n  5 -> 10 [size =\"47234048\"]\n  5 -> 11 [size =\"47234048\"]\n  5 -> 12 [size =\"47234048\"]\n  5 -> 16 [size =\"47234048\"]\n  6 [size=\"68270080\", alpha=\"0.08\", expect_size=\"34135040\"] \n  6 -> 7 [size =\"34135040\"]\n  6 -> 8 [size =\"34135040\"]\n  6 -> 9 [size =\"34135040\"]\n  6 -> 13 [size =\"34135040\"]\n  6 -> 14 [size =\"34135040\"]\n  7 [size=\"35792896\", alpha=\"0.02\", expect_size=\"17896448\"] \n  7 -> 18 [size =\"17896448\"]\n  7 -> 19 [size =\"17896448\"]\n  7 -> 20 [size =\"17896448\"]\n  7 -> 23 [size =\"17896448\"]\n  7 -> 24 [size =\"17896448\"]\n  8 [size=\"91240448\", alpha=\"0.12\", expect_size=\"45620224\"] \n  8 -> 21 [size =\"45620224\"]\n  8 -> 24 [size =\"45620224\"]\n  9 [size=\"29526016\", alpha=\"0.13\", expect_size=\"14763008\"] \n  9 -> 18 [size =\"14763008\"]\n  9 -> 20 [size =\"14763008\"]\n  9 -> 22 [size =\"14763008\"]\n  9 -> 24 [size =\"14763008\"]\n  10 [size=\"75436032\", alpha=\"0.20\", expect_size=\"37718016\"] \n  10 -> 18 [size =\"37718016\"]\n  10 -> 21 [size =\"37718016\"]\n  10 -> 23 [size =\"37718016\"]\n  10 -> 24 [size =\"37718016\"]\n  11 [size=\"82874368\", alpha=\"0.02\", expect_size=\"41437184\"] \n  11 -> 18 [size =\"41437184\"]\n  11 -> 19 [size =\"41437184\"]\n  11 -> 20 [size =\"41437184\"]\n  11 -> 22 [size =\"41437184\"]\n  11 -> 24 [size =\"41437184\"]\n  12 [size=\"11966464\", alpha=\"0.16\", expect_size=\"5983232\"] \n  12 -> 18 [size =\"5983232\"]\n  12 -> 21 [size =\"5983232\"]\n  12 -> 24 [size =\"5983232\"]\n  13 [size=\"73441280\", alpha=\"0.08\", expect_size=\"36720640\"] \n  13 -> 18 [size =\"36720640\"]\n  13 -> 21 [size =\"36720640\"]\n  13 -> 23 [size =\"36720640\"]\n  13 -> 24 [size =\"36720640\"]\n  14 [size=\"99399680\", alpha=\"0.17\", expect_size=\"49699840\"] \n  14 -> 18 [size =\"49699840\"]\n  14 -> 23 [size =\"49699840\"]\n  14 -> 24 [size =\"49699840\"]\n  14 -> 24 [size =\"49699840\"]\n  15 [size=\"85413888\", alpha=\"0.13\", expect_size=\"42706944\"] \n  15 -> 18 [size =\"42706944\"]\n  15 -> 20 [size =\"42706944\"]\n  15 -> 22 [size =\"42706944\"]\n  15 -> 23 [size =\"42706944\"]\n  15 -> 24 [size =\"42706944\"]\n  16 [size=\"17440768\", alpha=\"0.07\", expect_size=\"8720384\"] \n  16 -> 18 [size =\"8720384\"]\n  17 [size=\"54886400\", alpha=\"0.20\", expect_size=\"27443200\"] \n  17 -> 23 [size =\"27443200\"]\n  18 [size=\"65882112\", alpha=\"0.10\", expect_size=\"32941056\"] \n  18 -> 26 [size =\"32941056\"]\n  18 -> 28 [size =\"32941056\"]\n  18 -> 31 [size =\"32941056\"]\n  18 -> 34 [size =\"32941056\"]\n  19 [size=\"28487680\", alpha=\"0.07\", expect_size=\"14243840\"] \n  19 -> 26 [size =\"14243840\"]\n  19 -> 28 [size =\"14243840\"]\n  19 -> 32 [size =\"14243840\"]\n  19 -> 33 [size =\"14243840\"]\n  19 -> 34 [size =\"14243840\"]\n  20 [size=\"88258560\", alpha=\"0.06\", expect_size=\"44129280\"] \n  20 -> 25 [size =\"44129280\"]\n  20 -> 27 [size =\"44129280\"]\n  20 -> 28 [size =\"44129280\"]\n  20 -> 31 [size =\"44129280\"]\n  20 -> 33 [size =\"44129280\"]\n  20 -> 34 [size =\"44129280\"]\n  21 [size=\"86022144\", alpha=\"0.16\", expect_size=\"43011072\"] \n  21 -> 25 [size =\"43011072\"]\n  21 -> 26 [size =\"43011072\"]\n  21 -> 27 [size =\"43011072\"]\n  21 -> 28 [size =\"43011072\"]\n  21 -> 30 [size =\"43011072\"]\n  21 -> 31 [size =\"43011072\"]\n  21 -> 32 [size =\"43011072\"]\n  21 -> 33 [size =\"43011072\"]\n  21 -> 34 [size =\"43011072\"]\n  22 [size=\"97122304\", alpha=\"0.01\", expect_size=\"48561152\"] \n  22 -> 25 [size =\"48561152\"]\n  22 -> 26 [size =\"48561152\"]\n  22 -> 28 [size =\"48561152\"]\n  22 -> 29 [size =\"48561152\"]\n  22 -> 30 [size =\"48561152\"]\n  22 -> 32 [size =\"48561152\"]\n  22 -> 33 [size =\"48561152\"]\n  22 -> 34 [size =\"48561152\"]\n  23 [size=\"76171264\", alpha=\"0.10\", expect_size=\"38085632\"] \n  23 -> 25 [size =\"38085632\"]\n  23 -> 26 [size =\"38085632\"]\n  23 -> 30 [size =\"38085632\"]\n  23 -> 33 [size =\"38085632\"]\n  24 [size=\"20166656\", alpha=\"0.09\", expect_size=\"10083328\"] \n  24 -> 28 [size =\"10083328\"]\n  24 -> 30 [size =\"10083328\"]\n  24 -> 30 [size =\"10083328\"]\n  24 -> 31 [size =\"10083328\"]\n  24 -> 32 [size =\"10083328\"]\n  25 [size=\"98652160\", alpha=\"0.05\", expect_size=\"49326080\"] \n  25 -> 35 [size =\"49326080\"]\n  26 [size=\"65404928\", alpha=\"0.14\", expect_size=\"32702464\"] \n  27 [size=\"98371584\", alpha=\"0.09\", expect_size=\"49185792\"] \n  28 [size=\"97183744\", alpha=\"0.00\", expect_size=\"48591872\"] \n  28 -> 35 [size =\"48591872\"]\n  29 [size=\"48685056\", alpha=\"0.16\", expect_size=\"24342528\"] \n  30 [size=\"79400960\", alpha=\"0.05\", expect_size=\"39700480\"] \n  30 -> 35 [size =\"39700480\"]\n  31 [size=\"12077056\", alpha=\"0.09\", expect_size=\"6038528\"] \n  31 -> 35 [size =\"6038528\"]\n  32 [size=\"89757696\", alpha=\"0.14\", expect_size=\"44878848\"] \n  32 -> 35 [size =\"44878848\"]\n  33 [size=\"94646272\", alpha=\"0.12\", expect_size=\"47323136\"] \n  33 -> 35 [size =\"47323136\"]\n  34 [size=\"46561280\", alpha=\"0.09\", expect_size=\"23280640\"] \n  34 -> 35 [size =\"23280640\"]\n  35 [size=\"87629824\", alpha=\"0.02\", expect_size=\"43814912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131491840\", alpha=\"0.09\", expect_size=\"39447552\"] \n  1 -> 24 [size =\"39447552\"]\n  1 -> 25 [size =\"39447552\"]\n  1 -> 28 [size =\"39447552\"]\n  1 -> 31 [size =\"39447552\"]\n  1 -> 33 [size =\"39447552\"]\n  1 -> 34 [size =\"39447552\"]\n  2 [size=\"19763200\", alpha=\"0.07\", expect_size=\"5928960\"] \n  2 -> 24 [size =\"5928960\"]\n  2 -> 25 [size =\"5928960\"]\n  2 -> 28 [size =\"5928960\"]\n  2 -> 30 [size =\"5928960\"]\n  2 -> 31 [size =\"5928960\"]\n  2 -> 34 [size =\"5928960\"]\n  3 [size=\"64709973\", alpha=\"0.13\", expect_size=\"19412992\"] \n  3 -> 24 [size =\"19412992\"]\n  3 -> 25 [size =\"19412992\"]\n  3 -> 28 [size =\"19412992\"]\n  3 -> 34 [size =\"19412992\"]\n  3 -> 35 [size =\"19412992\"]\n  4 [size=\"22292480\", alpha=\"0.18\", expect_size=\"6687744\"] \n  4 -> 23 [size =\"6687744\"]\n  4 -> 24 [size =\"6687744\"]\n  4 -> 27 [size =\"6687744\"]\n  4 -> 35 [size =\"6687744\"]\n  5 [size=\"172492800\", alpha=\"0.14\", expect_size=\"51747840\"] \n  5 -> 23 [size =\"51747840\"]\n  5 -> 24 [size =\"51747840\"]\n  5 -> 25 [size =\"51747840\"]\n  5 -> 27 [size =\"51747840\"]\n  5 -> 28 [size =\"51747840\"]\n  5 -> 31 [size =\"51747840\"]\n  5 -> 33 [size =\"51747840\"]\n  5 -> 34 [size =\"51747840\"]\n  5 -> 35 [size =\"51747840\"]\n  6 [size=\"82650453\", alpha=\"0.12\", expect_size=\"24795136\"] \n  6 -> 24 [size =\"24795136\"]\n  6 -> 24 [size =\"24795136\"]\n  6 -> 26 [size =\"24795136\"]\n  6 -> 28 [size =\"24795136\"]\n  6 -> 28 [size =\"24795136\"]\n  6 -> 29 [size =\"24795136\"]\n  6 -> 31 [size =\"24795136\"]\n  6 -> 35 [size =\"24795136\"]\n  6 -> 35 [size =\"24795136\"]\n  7 [size=\"135819947\", alpha=\"0.06\", expect_size=\"40745984\"] \n  7 -> 24 [size =\"40745984\"]\n  7 -> 25 [size =\"40745984\"]\n  7 -> 26 [size =\"40745984\"]\n  7 -> 28 [size =\"40745984\"]\n  7 -> 31 [size =\"40745984\"]\n  7 -> 35 [size =\"40745984\"]\n  8 [size=\"96931840\", alpha=\"0.01\", expect_size=\"29079552\"] \n  8 -> 25 [size =\"29079552\"]\n  8 -> 27 [size =\"29079552\"]\n  8 -> 28 [size =\"29079552\"]\n  8 -> 28 [size =\"29079552\"]\n  8 -> 29 [size =\"29079552\"]\n  8 -> 31 [size =\"29079552\"]\n  8 -> 35 [size =\"29079552\"]\n  9 [size=\"59828907\", alpha=\"0.16\", expect_size=\"17948672\"] \n  9 -> 25 [size =\"17948672\"]\n  9 -> 27 [size =\"17948672\"]\n  9 -> 28 [size =\"17948672\"]\n  9 -> 31 [size =\"17948672\"]\n  9 -> 34 [size =\"17948672\"]\n  9 -> 35 [size =\"17948672\"]\n  9 -> 35 [size =\"17948672\"]\n  10 [size=\"146858667\", alpha=\"0.01\", expect_size=\"44057600\"] \n  10 -> 24 [size =\"44057600\"]\n  10 -> 25 [size =\"44057600\"]\n  10 -> 28 [size =\"44057600\"]\n  10 -> 31 [size =\"44057600\"]\n  10 -> 34 [size =\"44057600\"]\n  10 -> 35 [size =\"44057600\"]\n  11 [size=\"117227520\", alpha=\"0.00\", expect_size=\"35168256\"] \n  11 -> 24 [size =\"35168256\"]\n  11 -> 25 [size =\"35168256\"]\n  11 -> 26 [size =\"35168256\"]\n  11 -> 28 [size =\"35168256\"]\n  11 -> 34 [size =\"35168256\"]\n  11 -> 35 [size =\"35168256\"]\n  12 [size=\"30033920\", alpha=\"0.07\", expect_size=\"9010176\"] \n  12 -> 24 [size =\"9010176\"]\n  12 -> 25 [size =\"9010176\"]\n  12 -> 26 [size =\"9010176\"]\n  12 -> 28 [size =\"9010176\"]\n  12 -> 31 [size =\"9010176\"]\n  12 -> 32 [size =\"9010176\"]\n  12 -> 34 [size =\"9010176\"]\n  12 -> 35 [size =\"9010176\"]\n  13 [size=\"83073707\", alpha=\"0.14\", expect_size=\"24922112\"] \n  13 -> 25 [size =\"24922112\"]\n  13 -> 27 [size =\"24922112\"]\n  13 -> 28 [size =\"24922112\"]\n  13 -> 35 [size =\"24922112\"]\n  14 [size=\"30935040\", alpha=\"0.12\", expect_size=\"9280512\"] \n  14 -> 24 [size =\"9280512\"]\n  14 -> 25 [size =\"9280512\"]\n  14 -> 27 [size =\"9280512\"]\n  14 -> 31 [size =\"9280512\"]\n  14 -> 33 [size =\"9280512\"]\n  14 -> 35 [size =\"9280512\"]\n  15 [size=\"168779093\", alpha=\"0.19\", expect_size=\"50633728\"] \n  15 -> 24 [size =\"50633728\"]\n  15 -> 25 [size =\"50633728\"]\n  15 -> 27 [size =\"50633728\"]\n  15 -> 29 [size =\"50633728\"]\n  15 -> 31 [size =\"50633728\"]\n  15 -> 34 [size =\"50633728\"]\n  15 -> 35 [size =\"50633728\"]\n  16 [size=\"123521707\", alpha=\"0.03\", expect_size=\"37056512\"] \n  16 -> 25 [size =\"37056512\"]\n  16 -> 27 [size =\"37056512\"]\n  16 -> 28 [size =\"37056512\"]\n  16 -> 30 [size =\"37056512\"]\n  16 -> 31 [size =\"37056512\"]\n  16 -> 34 [size =\"37056512\"]\n  16 -> 35 [size =\"37056512\"]\n  17 [size=\"60610560\", alpha=\"0.09\", expect_size=\"18183168\"] \n  17 -> 24 [size =\"18183168\"]\n  17 -> 25 [size =\"18183168\"]\n  17 -> 26 [size =\"18183168\"]\n  17 -> 28 [size =\"18183168\"]\n  17 -> 31 [size =\"18183168\"]\n  17 -> 33 [size =\"18183168\"]\n  17 -> 34 [size =\"18183168\"]\n  17 -> 35 [size =\"18183168\"]\n  18 [size=\"107520000\", alpha=\"0.01\", expect_size=\"32256000\"] \n  18 -> 24 [size =\"32256000\"]\n  18 -> 25 [size =\"32256000\"]\n  18 -> 28 [size =\"32256000\"]\n  18 -> 34 [size =\"32256000\"]\n  18 -> 35 [size =\"32256000\"]\n  19 [size=\"118514347\", alpha=\"0.09\", expect_size=\"35554304\"] \n  19 -> 24 [size =\"35554304\"]\n  19 -> 25 [size =\"35554304\"]\n  19 -> 29 [size =\"35554304\"]\n  19 -> 33 [size =\"35554304\"]\n  19 -> 34 [size =\"35554304\"]\n  19 -> 35 [size =\"35554304\"]\n  20 [size=\"84264960\", alpha=\"0.10\", expect_size=\"25279488\"] \n  20 -> 25 [size =\"25279488\"]\n  20 -> 26 [size =\"25279488\"]\n  20 -> 27 [size =\"25279488\"]\n  20 -> 28 [size =\"25279488\"]\n  20 -> 31 [size =\"25279488\"]\n  20 -> 33 [size =\"25279488\"]\n  20 -> 34 [size =\"25279488\"]\n  21 [size=\"88500907\", alpha=\"0.06\", expect_size=\"26550272\"] \n  21 -> 23 [size =\"26550272\"]\n  21 -> 26 [size =\"26550272\"]\n  21 -> 28 [size =\"26550272\"]\n  21 -> 31 [size =\"26550272\"]\n  21 -> 31 [size =\"26550272\"]\n  21 -> 34 [size =\"26550272\"]\n  22 [size=\"89753600\", alpha=\"0.02\", expect_size=\"26926080\"] \n  22 -> 23 [size =\"26926080\"]\n  22 -> 25 [size =\"26926080\"]\n  22 -> 28 [size =\"26926080\"]\n  22 -> 31 [size =\"26926080\"]\n  22 -> 34 [size =\"26926080\"]\n  23 [size=\"147749547\", alpha=\"0.04\", expect_size=\"44324864\"] \n  24 [size=\"99809280\", alpha=\"0.06\", expect_size=\"29942784\"] \n  25 [size=\"40427520\", alpha=\"0.08\", expect_size=\"12128256\"] \n  26 [size=\"34464427\", alpha=\"0.19\", expect_size=\"10339328\"] \n  27 [size=\"59446613\", alpha=\"0.05\", expect_size=\"17833984\"] \n  28 [size=\"132140373\", alpha=\"0.00\", expect_size=\"39642112\"] \n  29 [size=\"140219733\", alpha=\"0.02\", expect_size=\"42065920\"] \n  30 [size=\"50783573\", alpha=\"0.19\", expect_size=\"15235072\"] \n  31 [size=\"128068267\", alpha=\"0.09\", expect_size=\"38420480\"] \n  32 [size=\"171520000\", alpha=\"0.01\", expect_size=\"51456000\"] \n  33 [size=\"26139307\", alpha=\"0.02\", expect_size=\"7841792\"] \n  34 [size=\"53739520\", alpha=\"0.04\", expect_size=\"16121856\"] \n  35 [size=\"101847040\", alpha=\"0.05\", expect_size=\"30554112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83616427\", alpha=\"0.04\", expect_size=\"25084928\"] \n  2 [size=\"153548800\", alpha=\"0.10\", expect_size=\"46064640\"] \n  2 -> 7 [size =\"46064640\"]\n  2 -> 9 [size =\"46064640\"]\n  3 [size=\"171803307\", alpha=\"0.12\", expect_size=\"51540992\"] \n  3 -> 8 [size =\"51540992\"]\n  4 [size=\"89395200\", alpha=\"0.19\", expect_size=\"26818560\"] \n  4 -> 7 [size =\"26818560\"]\n  4 -> 8 [size =\"26818560\"]\n  5 [size=\"161194667\", alpha=\"0.14\", expect_size=\"48358400\"] \n  6 [size=\"138055680\", alpha=\"0.11\", expect_size=\"41416704\"] \n  6 -> 7 [size =\"41416704\"]\n  6 -> 8 [size =\"41416704\"]\n  7 [size=\"50674347\", alpha=\"0.20\", expect_size=\"15202304\"] \n  7 -> 11 [size =\"15202304\"]\n  7 -> 14 [size =\"15202304\"]\n  7 -> 15 [size =\"15202304\"]\n  8 [size=\"171001173\", alpha=\"0.19\", expect_size=\"51300352\"] \n  8 -> 10 [size =\"51300352\"]\n  8 -> 11 [size =\"51300352\"]\n  8 -> 12 [size =\"51300352\"]\n  8 -> 14 [size =\"51300352\"]\n  8 -> 15 [size =\"51300352\"]\n  9 [size=\"36037973\", alpha=\"0.12\", expect_size=\"10811392\"] \n  9 -> 13 [size =\"10811392\"]\n  10 [size=\"86159360\", alpha=\"0.14\", expect_size=\"25847808\"] \n  10 -> 18 [size =\"25847808\"]\n  10 -> 20 [size =\"25847808\"]\n  11 [size=\"75642880\", alpha=\"0.04\", expect_size=\"22692864\"] \n  11 -> 16 [size =\"22692864\"]\n  11 -> 17 [size =\"22692864\"]\n  11 -> 18 [size =\"22692864\"]\n  11 -> 19 [size =\"22692864\"]\n  11 -> 20 [size =\"22692864\"]\n  12 [size=\"106243413\", alpha=\"0.08\", expect_size=\"31873024\"] \n  12 -> 19 [size =\"31873024\"]\n  13 [size=\"25787733\", alpha=\"0.14\", expect_size=\"7736320\"] \n  13 -> 16 [size =\"7736320\"]\n  14 [size=\"117934080\", alpha=\"0.06\", expect_size=\"35380224\"] \n  14 -> 19 [size =\"35380224\"]\n  15 [size=\"107926187\", alpha=\"0.05\", expect_size=\"32377856\"] \n  15 -> 20 [size =\"32377856\"]\n  16 [size=\"63784960\", alpha=\"0.06\", expect_size=\"19135488\"] \n  17 [size=\"149899947\", alpha=\"0.12\", expect_size=\"44969984\"] \n  17 -> 23 [size =\"44969984\"]\n  18 [size=\"148421973\", alpha=\"0.09\", expect_size=\"44526592\"] \n  18 -> 21 [size =\"44526592\"]\n  19 [size=\"141707947\", alpha=\"0.02\", expect_size=\"42512384\"] \n  19 -> 22 [size =\"42512384\"]\n  19 -> 24 [size =\"42512384\"]\n  20 [size=\"76434773\", alpha=\"0.15\", expect_size=\"22930432\"] \n  20 -> 22 [size =\"22930432\"]\n  21 [size=\"25436160\", alpha=\"0.16\", expect_size=\"7630848\"] \n  21 -> 26 [size =\"7630848\"]\n  21 -> 30 [size =\"7630848\"]\n  22 [size=\"53954560\", alpha=\"0.14\", expect_size=\"16186368\"] \n  22 -> 25 [size =\"16186368\"]\n  22 -> 28 [size =\"16186368\"]\n  22 -> 29 [size =\"16186368\"]\n  23 [size=\"120490667\", alpha=\"0.12\", expect_size=\"36147200\"] \n  23 -> 25 [size =\"36147200\"]\n  24 [size=\"72724480\", alpha=\"0.19\", expect_size=\"21817344\"] \n  24 -> 26 [size =\"21817344\"]\n  24 -> 27 [size =\"21817344\"]\n  24 -> 30 [size =\"21817344\"]\n  25 [size=\"119449600\", alpha=\"0.04\", expect_size=\"35834880\"] \n  26 [size=\"155637760\", alpha=\"0.05\", expect_size=\"46691328\"] \n  26 -> 31 [size =\"46691328\"]\n  26 -> 32 [size =\"46691328\"]\n  27 [size=\"46161920\", alpha=\"0.10\", expect_size=\"13848576\"] \n  28 [size=\"141414400\", alpha=\"0.14\", expect_size=\"42424320\"] \n  29 [size=\"52408320\", alpha=\"0.01\", expect_size=\"15722496\"] \n  30 [size=\"68075520\", alpha=\"0.17\", expect_size=\"20422656\"] \n  30 -> 33 [size =\"20422656\"]\n  31 [size=\"25490773\", alpha=\"0.19\", expect_size=\"7647232\"] \n  32 [size=\"148090880\", alpha=\"0.14\", expect_size=\"44427264\"] \n  32 -> 34 [size =\"44427264\"]\n  32 -> 35 [size =\"44427264\"]\n  33 [size=\"100082347\", alpha=\"0.09\", expect_size=\"30024704\"] \n  33 -> 34 [size =\"30024704\"]\n  34 [size=\"35799040\", alpha=\"0.17\", expect_size=\"10739712\"] \n  35 [size=\"27163307\", alpha=\"0.17\", expect_size=\"8148992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24412160\", alpha=\"0.11\", expect_size=\"12206080\"] \n  1 -> 2 [size =\"12206080\"]\n  2 [size=\"20647936\", alpha=\"0.12\", expect_size=\"10323968\"] \n  2 -> 3 [size =\"10323968\"]\n  3 [size=\"20508672\", alpha=\"0.06\", expect_size=\"10254336\"] \n  3 -> 4 [size =\"10254336\"]\n  4 [size=\"100810752\", alpha=\"0.15\", expect_size=\"50405376\"] \n  4 -> 5 [size =\"50405376\"]\n  5 [size=\"13137920\", alpha=\"0.12\", expect_size=\"6568960\"] \n  5 -> 6 [size =\"6568960\"]\n  6 [size=\"53297152\", alpha=\"0.12\", expect_size=\"26648576\"] \n  6 -> 7 [size =\"26648576\"]\n  7 [size=\"62199808\", alpha=\"0.12\", expect_size=\"31099904\"] \n  7 -> 8 [size =\"31099904\"]\n  8 [size=\"36638720\", alpha=\"0.16\", expect_size=\"18319360\"] \n  8 -> 9 [size =\"18319360\"]\n  9 [size=\"28735488\", alpha=\"0.13\", expect_size=\"14367744\"] \n  9 -> 10 [size =\"14367744\"]\n  10 [size=\"43497472\", alpha=\"0.16\", expect_size=\"21748736\"] \n  10 -> 11 [size =\"21748736\"]\n  11 [size=\"31150080\", alpha=\"0.15\", expect_size=\"15575040\"] \n  11 -> 12 [size =\"15575040\"]\n  12 [size=\"83290112\", alpha=\"0.02\", expect_size=\"41645056\"] \n  12 -> 13 [size =\"41645056\"]\n  13 [size=\"45563904\", alpha=\"0.15\", expect_size=\"22781952\"] \n  13 -> 14 [size =\"22781952\"]\n  14 [size=\"73836544\", alpha=\"0.01\", expect_size=\"36918272\"] \n  14 -> 15 [size =\"36918272\"]\n  15 [size=\"52121600\", alpha=\"0.03\", expect_size=\"26060800\"] \n  15 -> 16 [size =\"26060800\"]\n  16 [size=\"15841280\", alpha=\"0.05\", expect_size=\"7920640\"] \n  16 -> 17 [size =\"7920640\"]\n  17 [size=\"71305216\", alpha=\"0.13\", expect_size=\"35652608\"] \n  17 -> 18 [size =\"35652608\"]\n  18 [size=\"33900544\", alpha=\"0.09\", expect_size=\"16950272\"] \n  18 -> 19 [size =\"16950272\"]\n  19 [size=\"13879296\", alpha=\"0.19\", expect_size=\"6939648\"] \n  19 -> 20 [size =\"6939648\"]\n  20 [size=\"76822528\", alpha=\"0.18\", expect_size=\"38411264\"] \n  20 -> 21 [size =\"38411264\"]\n  21 [size=\"57057280\", alpha=\"0.19\", expect_size=\"28528640\"] \n  21 -> 22 [size =\"28528640\"]\n  22 [size=\"34865152\", alpha=\"0.03\", expect_size=\"17432576\"] \n  22 -> 23 [size =\"17432576\"]\n  23 [size=\"44103680\", alpha=\"0.09\", expect_size=\"22051840\"] \n  23 -> 24 [size =\"22051840\"]\n  24 [size=\"20631552\", alpha=\"0.15\", expect_size=\"10315776\"] \n  24 -> 25 [size =\"10315776\"]\n  25 [size=\"25112576\", alpha=\"0.00\", expect_size=\"12556288\"] \n  25 -> 26 [size =\"12556288\"]\n  26 [size=\"37543936\", alpha=\"0.15\", expect_size=\"18771968\"] \n  26 -> 27 [size =\"18771968\"]\n  27 [size=\"63338496\", alpha=\"0.01\", expect_size=\"31669248\"] \n  27 -> 28 [size =\"31669248\"]\n  28 [size=\"29540352\", alpha=\"0.12\", expect_size=\"14770176\"] \n  28 -> 29 [size =\"14770176\"]\n  29 [size=\"70854656\", alpha=\"0.07\", expect_size=\"35427328\"] \n  29 -> 30 [size =\"35427328\"]\n  30 [size=\"65527808\", alpha=\"0.10\", expect_size=\"32763904\"] \n  30 -> 31 [size =\"32763904\"]\n  31 [size=\"54560768\", alpha=\"0.16\", expect_size=\"27280384\"] \n  31 -> 32 [size =\"27280384\"]\n  32 [size=\"51877888\", alpha=\"0.18\", expect_size=\"25938944\"] \n  32 -> 33 [size =\"25938944\"]\n  33 [size=\"67645440\", alpha=\"0.08\", expect_size=\"33822720\"] \n  33 -> 34 [size =\"33822720\"]\n  34 [size=\"17512448\", alpha=\"0.10\", expect_size=\"8756224\"] \n  34 -> 35 [size =\"8756224\"]\n  35 [size=\"86177792\", alpha=\"0.02\", expect_size=\"43088896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85988693\", alpha=\"0.04\", expect_size=\"25796608\"] \n  1 -> 20 [size =\"25796608\"]\n  1 -> 23 [size =\"25796608\"]\n  1 -> 25 [size =\"25796608\"]\n  1 -> 27 [size =\"25796608\"]\n  1 -> 33 [size =\"25796608\"]\n  2 [size=\"80066560\", alpha=\"0.10\", expect_size=\"24019968\"] \n  2 -> 20 [size =\"24019968\"]\n  2 -> 21 [size =\"24019968\"]\n  2 -> 22 [size =\"24019968\"]\n  2 -> 27 [size =\"24019968\"]\n  2 -> 30 [size =\"24019968\"]\n  2 -> 31 [size =\"24019968\"]\n  2 -> 33 [size =\"24019968\"]\n  2 -> 35 [size =\"24019968\"]\n  3 [size=\"20992000\", alpha=\"0.04\", expect_size=\"6297600\"] \n  3 -> 28 [size =\"6297600\"]\n  3 -> 33 [size =\"6297600\"]\n  3 -> 35 [size =\"6297600\"]\n  4 [size=\"45506560\", alpha=\"0.02\", expect_size=\"13651968\"] \n  4 -> 24 [size =\"13651968\"]\n  4 -> 26 [size =\"13651968\"]\n  4 -> 27 [size =\"13651968\"]\n  4 -> 28 [size =\"13651968\"]\n  4 -> 31 [size =\"13651968\"]\n  4 -> 33 [size =\"13651968\"]\n  4 -> 34 [size =\"13651968\"]\n  4 -> 35 [size =\"13651968\"]\n  5 [size=\"88535040\", alpha=\"0.19\", expect_size=\"26560512\"] \n  5 -> 20 [size =\"26560512\"]\n  5 -> 22 [size =\"26560512\"]\n  5 -> 28 [size =\"26560512\"]\n  5 -> 34 [size =\"26560512\"]\n  5 -> 35 [size =\"26560512\"]\n  6 [size=\"170181973\", alpha=\"0.05\", expect_size=\"51054592\"] \n  6 -> 20 [size =\"51054592\"]\n  6 -> 22 [size =\"51054592\"]\n  6 -> 23 [size =\"51054592\"]\n  6 -> 26 [size =\"51054592\"]\n  6 -> 34 [size =\"51054592\"]\n  6 -> 35 [size =\"51054592\"]\n  7 [size=\"23889920\", alpha=\"0.12\", expect_size=\"7166976\"] \n  7 -> 21 [size =\"7166976\"]\n  7 -> 23 [size =\"7166976\"]\n  7 -> 26 [size =\"7166976\"]\n  7 -> 28 [size =\"7166976\"]\n  7 -> 30 [size =\"7166976\"]\n  7 -> 33 [size =\"7166976\"]\n  7 -> 34 [size =\"7166976\"]\n  8 [size=\"172840960\", alpha=\"0.20\", expect_size=\"51852288\"] \n  8 -> 23 [size =\"51852288\"]\n  8 -> 23 [size =\"51852288\"]\n  8 -> 27 [size =\"51852288\"]\n  8 -> 28 [size =\"51852288\"]\n  8 -> 31 [size =\"51852288\"]\n  8 -> 34 [size =\"51852288\"]\n  8 -> 34 [size =\"51852288\"]\n  9 [size=\"34048000\", alpha=\"0.03\", expect_size=\"10214400\"] \n  9 -> 21 [size =\"10214400\"]\n  9 -> 23 [size =\"10214400\"]\n  9 -> 26 [size =\"10214400\"]\n  9 -> 28 [size =\"10214400\"]\n  10 [size=\"107670187\", alpha=\"0.06\", expect_size=\"32301056\"] \n  10 -> 20 [size =\"32301056\"]\n  10 -> 23 [size =\"32301056\"]\n  10 -> 33 [size =\"32301056\"]\n  10 -> 34 [size =\"32301056\"]\n  11 [size=\"23026347\", alpha=\"0.01\", expect_size=\"6907904\"] \n  11 -> 20 [size =\"6907904\"]\n  11 -> 23 [size =\"6907904\"]\n  11 -> 26 [size =\"6907904\"]\n  11 -> 30 [size =\"6907904\"]\n  11 -> 31 [size =\"6907904\"]\n  11 -> 32 [size =\"6907904\"]\n  11 -> 34 [size =\"6907904\"]\n  11 -> 35 [size =\"6907904\"]\n  12 [size=\"51189760\", alpha=\"0.17\", expect_size=\"15356928\"] \n  12 -> 23 [size =\"15356928\"]\n  12 -> 23 [size =\"15356928\"]\n  12 -> 26 [size =\"15356928\"]\n  12 -> 27 [size =\"15356928\"]\n  12 -> 28 [size =\"15356928\"]\n  12 -> 29 [size =\"15356928\"]\n  12 -> 34 [size =\"15356928\"]\n  12 -> 35 [size =\"15356928\"]\n  13 [size=\"132007253\", alpha=\"0.01\", expect_size=\"39602176\"] \n  13 -> 22 [size =\"39602176\"]\n  13 -> 23 [size =\"39602176\"]\n  13 -> 24 [size =\"39602176\"]\n  13 -> 26 [size =\"39602176\"]\n  13 -> 29 [size =\"39602176\"]\n  13 -> 33 [size =\"39602176\"]\n  14 [size=\"163778560\", alpha=\"0.01\", expect_size=\"49133568\"] \n  14 -> 30 [size =\"49133568\"]\n  15 [size=\"18759680\", alpha=\"0.05\", expect_size=\"5627904\"] \n  15 -> 24 [size =\"5627904\"]\n  15 -> 35 [size =\"5627904\"]\n  16 [size=\"165341867\", alpha=\"0.04\", expect_size=\"49602560\"] \n  16 -> 20 [size =\"49602560\"]\n  16 -> 24 [size =\"49602560\"]\n  16 -> 27 [size =\"49602560\"]\n  16 -> 30 [size =\"49602560\"]\n  16 -> 31 [size =\"49602560\"]\n  16 -> 33 [size =\"49602560\"]\n  16 -> 34 [size =\"49602560\"]\n  16 -> 35 [size =\"49602560\"]\n  17 [size=\"45677227\", alpha=\"0.14\", expect_size=\"13703168\"] \n  17 -> 20 [size =\"13703168\"]\n  17 -> 22 [size =\"13703168\"]\n  17 -> 29 [size =\"13703168\"]\n  17 -> 33 [size =\"13703168\"]\n  17 -> 34 [size =\"13703168\"]\n  17 -> 35 [size =\"13703168\"]\n  18 [size=\"139987627\", alpha=\"0.15\", expect_size=\"41996288\"] \n  18 -> 21 [size =\"41996288\"]\n  18 -> 22 [size =\"41996288\"]\n  18 -> 26 [size =\"41996288\"]\n  18 -> 29 [size =\"41996288\"]\n  18 -> 34 [size =\"41996288\"]\n  19 [size=\"136106667\", alpha=\"0.18\", expect_size=\"40832000\"] \n  19 -> 20 [size =\"40832000\"]\n  19 -> 23 [size =\"40832000\"]\n  19 -> 26 [size =\"40832000\"]\n  19 -> 27 [size =\"40832000\"]\n  19 -> 29 [size =\"40832000\"]\n  19 -> 35 [size =\"40832000\"]\n  20 [size=\"157866667\", alpha=\"0.08\", expect_size=\"47360000\"] \n  21 [size=\"49960960\", alpha=\"0.07\", expect_size=\"14988288\"] \n  22 [size=\"61371733\", alpha=\"0.14\", expect_size=\"18411520\"] \n  23 [size=\"41588053\", alpha=\"0.02\", expect_size=\"12476416\"] \n  24 [size=\"47243947\", alpha=\"0.13\", expect_size=\"14173184\"] \n  25 [size=\"57436160\", alpha=\"0.13\", expect_size=\"17230848\"] \n  26 [size=\"95051093\", alpha=\"0.13\", expect_size=\"28515328\"] \n  27 [size=\"127290027\", alpha=\"0.13\", expect_size=\"38187008\"] \n  28 [size=\"83483307\", alpha=\"0.13\", expect_size=\"25044992\"] \n  29 [size=\"40297813\", alpha=\"0.15\", expect_size=\"12089344\"] \n  30 [size=\"22050133\", alpha=\"0.09\", expect_size=\"6615040\"] \n  31 [size=\"85715627\", alpha=\"0.03\", expect_size=\"25714688\"] \n  32 [size=\"142513493\", alpha=\"0.02\", expect_size=\"42754048\"] \n  33 [size=\"97754453\", alpha=\"0.15\", expect_size=\"29326336\"] \n  34 [size=\"112244053\", alpha=\"0.07\", expect_size=\"33673216\"] \n  35 [size=\"56722773\", alpha=\"0.19\", expect_size=\"17016832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95119360\", alpha=\"0.17\", expect_size=\"47559680\"] \n  1 -> 16 [size =\"47559680\"]\n  1 -> 18 [size =\"47559680\"]\n  1 -> 19 [size =\"47559680\"]\n  1 -> 20 [size =\"47559680\"]\n  1 -> 21 [size =\"47559680\"]\n  1 -> 22 [size =\"47559680\"]\n  1 -> 24 [size =\"47559680\"]\n  2 [size=\"59678720\", alpha=\"0.13\", expect_size=\"29839360\"] \n  2 -> 16 [size =\"29839360\"]\n  2 -> 17 [size =\"29839360\"]\n  2 -> 18 [size =\"29839360\"]\n  2 -> 19 [size =\"29839360\"]\n  2 -> 20 [size =\"29839360\"]\n  2 -> 22 [size =\"29839360\"]\n  2 -> 24 [size =\"29839360\"]\n  3 [size=\"88629248\", alpha=\"0.20\", expect_size=\"44314624\"] \n  3 -> 15 [size =\"44314624\"]\n  3 -> 18 [size =\"44314624\"]\n  3 -> 19 [size =\"44314624\"]\n  3 -> 20 [size =\"44314624\"]\n  3 -> 22 [size =\"44314624\"]\n  4 [size=\"41404416\", alpha=\"0.19\", expect_size=\"20702208\"] \n  4 -> 15 [size =\"20702208\"]\n  4 -> 17 [size =\"20702208\"]\n  4 -> 19 [size =\"20702208\"]\n  4 -> 21 [size =\"20702208\"]\n  4 -> 22 [size =\"20702208\"]\n  4 -> 23 [size =\"20702208\"]\n  5 [size=\"66056192\", alpha=\"0.10\", expect_size=\"33028096\"] \n  5 -> 15 [size =\"33028096\"]\n  5 -> 16 [size =\"33028096\"]\n  5 -> 17 [size =\"33028096\"]\n  5 -> 19 [size =\"33028096\"]\n  5 -> 24 [size =\"33028096\"]\n  6 [size=\"43171840\", alpha=\"0.13\", expect_size=\"21585920\"] \n  6 -> 15 [size =\"21585920\"]\n  6 -> 16 [size =\"21585920\"]\n  6 -> 17 [size =\"21585920\"]\n  6 -> 19 [size =\"21585920\"]\n  7 [size=\"21579776\", alpha=\"0.04\", expect_size=\"10789888\"] \n  7 -> 15 [size =\"10789888\"]\n  7 -> 17 [size =\"10789888\"]\n  7 -> 18 [size =\"10789888\"]\n  7 -> 19 [size =\"10789888\"]\n  7 -> 21 [size =\"10789888\"]\n  7 -> 22 [size =\"10789888\"]\n  7 -> 24 [size =\"10789888\"]\n  8 [size=\"100503552\", alpha=\"0.10\", expect_size=\"50251776\"] \n  8 -> 15 [size =\"50251776\"]\n  8 -> 16 [size =\"50251776\"]\n  8 -> 17 [size =\"50251776\"]\n  8 -> 18 [size =\"50251776\"]\n  8 -> 19 [size =\"50251776\"]\n  8 -> 21 [size =\"50251776\"]\n  8 -> 22 [size =\"50251776\"]\n  8 -> 24 [size =\"50251776\"]\n  9 [size=\"14057472\", alpha=\"0.04\", expect_size=\"7028736\"] \n  9 -> 15 [size =\"7028736\"]\n  9 -> 16 [size =\"7028736\"]\n  9 -> 18 [size =\"7028736\"]\n  9 -> 24 [size =\"7028736\"]\n  10 [size=\"80140288\", alpha=\"0.09\", expect_size=\"40070144\"] \n  10 -> 15 [size =\"40070144\"]\n  10 -> 18 [size =\"40070144\"]\n  10 -> 20 [size =\"40070144\"]\n  10 -> 22 [size =\"40070144\"]\n  10 -> 24 [size =\"40070144\"]\n  11 [size=\"36454400\", alpha=\"0.00\", expect_size=\"18227200\"] \n  11 -> 15 [size =\"18227200\"]\n  11 -> 18 [size =\"18227200\"]\n  11 -> 21 [size =\"18227200\"]\n  11 -> 22 [size =\"18227200\"]\n  11 -> 23 [size =\"18227200\"]\n  12 [size=\"20879360\", alpha=\"0.12\", expect_size=\"10439680\"] \n  12 -> 15 [size =\"10439680\"]\n  12 -> 18 [size =\"10439680\"]\n  12 -> 19 [size =\"10439680\"]\n  12 -> 24 [size =\"10439680\"]\n  13 [size=\"80113664\", alpha=\"0.16\", expect_size=\"40056832\"] \n  13 -> 16 [size =\"40056832\"]\n  13 -> 18 [size =\"40056832\"]\n  13 -> 19 [size =\"40056832\"]\n  13 -> 20 [size =\"40056832\"]\n  13 -> 22 [size =\"40056832\"]\n  14 [size=\"79654912\", alpha=\"0.00\", expect_size=\"39827456\"] \n  14 -> 18 [size =\"39827456\"]\n  14 -> 19 [size =\"39827456\"]\n  14 -> 20 [size =\"39827456\"]\n  14 -> 23 [size =\"39827456\"]\n  15 [size=\"72740864\", alpha=\"0.06\", expect_size=\"36370432\"] \n  15 -> 27 [size =\"36370432\"]\n  15 -> 29 [size =\"36370432\"]\n  15 -> 31 [size =\"36370432\"]\n  15 -> 35 [size =\"36370432\"]\n  16 [size=\"24565760\", alpha=\"0.17\", expect_size=\"12282880\"] \n  16 -> 26 [size =\"12282880\"]\n  16 -> 27 [size =\"12282880\"]\n  16 -> 28 [size =\"12282880\"]\n  16 -> 29 [size =\"12282880\"]\n  16 -> 31 [size =\"12282880\"]\n  16 -> 35 [size =\"12282880\"]\n  17 [size=\"88139776\", alpha=\"0.07\", expect_size=\"44069888\"] \n  17 -> 25 [size =\"44069888\"]\n  17 -> 27 [size =\"44069888\"]\n  17 -> 28 [size =\"44069888\"]\n  17 -> 29 [size =\"44069888\"]\n  17 -> 31 [size =\"44069888\"]\n  17 -> 35 [size =\"44069888\"]\n  18 [size=\"14149632\", alpha=\"0.15\", expect_size=\"7074816\"] \n  18 -> 26 [size =\"7074816\"]\n  18 -> 27 [size =\"7074816\"]\n  18 -> 28 [size =\"7074816\"]\n  18 -> 29 [size =\"7074816\"]\n  18 -> 31 [size =\"7074816\"]\n  18 -> 33 [size =\"7074816\"]\n  18 -> 34 [size =\"7074816\"]\n  18 -> 35 [size =\"7074816\"]\n  19 [size=\"62115840\", alpha=\"0.02\", expect_size=\"31057920\"] \n  19 -> 26 [size =\"31057920\"]\n  19 -> 27 [size =\"31057920\"]\n  19 -> 29 [size =\"31057920\"]\n  19 -> 29 [size =\"31057920\"]\n  19 -> 31 [size =\"31057920\"]\n  19 -> 35 [size =\"31057920\"]\n  20 [size=\"79249408\", alpha=\"0.06\", expect_size=\"39624704\"] \n  20 -> 26 [size =\"39624704\"]\n  20 -> 28 [size =\"39624704\"]\n  20 -> 29 [size =\"39624704\"]\n  20 -> 31 [size =\"39624704\"]\n  20 -> 31 [size =\"39624704\"]\n  20 -> 35 [size =\"39624704\"]\n  21 [size=\"28868608\", alpha=\"0.08\", expect_size=\"14434304\"] \n  21 -> 26 [size =\"14434304\"]\n  21 -> 27 [size =\"14434304\"]\n  21 -> 28 [size =\"14434304\"]\n  21 -> 29 [size =\"14434304\"]\n  21 -> 32 [size =\"14434304\"]\n  21 -> 35 [size =\"14434304\"]\n  22 [size=\"29757440\", alpha=\"0.00\", expect_size=\"14878720\"] \n  22 -> 25 [size =\"14878720\"]\n  22 -> 26 [size =\"14878720\"]\n  22 -> 27 [size =\"14878720\"]\n  22 -> 28 [size =\"14878720\"]\n  22 -> 30 [size =\"14878720\"]\n  22 -> 32 [size =\"14878720\"]\n  23 [size=\"87222272\", alpha=\"0.09\", expect_size=\"43611136\"] \n  23 -> 26 [size =\"43611136\"]\n  23 -> 27 [size =\"43611136\"]\n  23 -> 28 [size =\"43611136\"]\n  23 -> 29 [size =\"43611136\"]\n  23 -> 32 [size =\"43611136\"]\n  23 -> 35 [size =\"43611136\"]\n  24 [size=\"70694912\", alpha=\"0.05\", expect_size=\"35347456\"] \n  24 -> 26 [size =\"35347456\"]\n  24 -> 27 [size =\"35347456\"]\n  24 -> 28 [size =\"35347456\"]\n  24 -> 30 [size =\"35347456\"]\n  24 -> 34 [size =\"35347456\"]\n  24 -> 35 [size =\"35347456\"]\n  25 [size=\"70770688\", alpha=\"0.12\", expect_size=\"35385344\"] \n  26 [size=\"98101248\", alpha=\"0.06\", expect_size=\"49050624\"] \n  27 [size=\"83505152\", alpha=\"0.03\", expect_size=\"41752576\"] \n  28 [size=\"21456896\", alpha=\"0.19\", expect_size=\"10728448\"] \n  29 [size=\"93865984\", alpha=\"0.15\", expect_size=\"46932992\"] \n  30 [size=\"101435392\", alpha=\"0.06\", expect_size=\"50717696\"] \n  31 [size=\"33851392\", alpha=\"0.03\", expect_size=\"16925696\"] \n  32 [size=\"70121472\", alpha=\"0.02\", expect_size=\"35060736\"] \n  33 [size=\"70694912\", alpha=\"0.15\", expect_size=\"35347456\"] \n  34 [size=\"19343360\", alpha=\"0.04\", expect_size=\"9671680\"] \n  35 [size=\"41361408\", alpha=\"0.05\", expect_size=\"20680704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55128747\", alpha=\"0.05\", expect_size=\"16538624\"] \n  1 -> 6 [size =\"16538624\"]\n  1 -> 7 [size =\"16538624\"]\n  1 -> 8 [size =\"16538624\"]\n  2 [size=\"67795627\", alpha=\"0.06\", expect_size=\"20338688\"] \n  2 -> 6 [size =\"20338688\"]\n  3 [size=\"160805547\", alpha=\"0.03\", expect_size=\"48241664\"] \n  4 [size=\"99232427\", alpha=\"0.18\", expect_size=\"29769728\"] \n  5 [size=\"146561707\", alpha=\"0.08\", expect_size=\"43968512\"] \n  5 -> 6 [size =\"43968512\"]\n  6 [size=\"90023253\", alpha=\"0.18\", expect_size=\"27006976\"] \n  6 -> 10 [size =\"27006976\"]\n  6 -> 11 [size =\"27006976\"]\n  6 -> 12 [size =\"27006976\"]\n  7 [size=\"85387947\", alpha=\"0.10\", expect_size=\"25616384\"] \n  7 -> 9 [size =\"25616384\"]\n  7 -> 11 [size =\"25616384\"]\n  7 -> 12 [size =\"25616384\"]\n  8 [size=\"66921813\", alpha=\"0.02\", expect_size=\"20076544\"] \n  8 -> 12 [size =\"20076544\"]\n  8 -> 13 [size =\"20076544\"]\n  9 [size=\"84575573\", alpha=\"0.13\", expect_size=\"25372672\"] \n  9 -> 14 [size =\"25372672\"]\n  9 -> 17 [size =\"25372672\"]\n  10 [size=\"149558613\", alpha=\"0.18\", expect_size=\"44867584\"] \n  10 -> 14 [size =\"44867584\"]\n  10 -> 15 [size =\"44867584\"]\n  11 [size=\"101082453\", alpha=\"0.18\", expect_size=\"30324736\"] \n  11 -> 14 [size =\"30324736\"]\n  11 -> 15 [size =\"30324736\"]\n  11 -> 16 [size =\"30324736\"]\n  12 [size=\"138465280\", alpha=\"0.11\", expect_size=\"41539584\"] \n  12 -> 15 [size =\"41539584\"]\n  12 -> 17 [size =\"41539584\"]\n  12 -> 18 [size =\"41539584\"]\n  13 [size=\"25668267\", alpha=\"0.01\", expect_size=\"7700480\"] \n  13 -> 14 [size =\"7700480\"]\n  13 -> 16 [size =\"7700480\"]\n  13 -> 17 [size =\"7700480\"]\n  13 -> 18 [size =\"7700480\"]\n  14 [size=\"50227200\", alpha=\"0.06\", expect_size=\"15068160\"] \n  14 -> 19 [size =\"15068160\"]\n  15 [size=\"32037547\", alpha=\"0.10\", expect_size=\"9611264\"] \n  15 -> 19 [size =\"9611264\"]\n  15 -> 20 [size =\"9611264\"]\n  15 -> 21 [size =\"9611264\"]\n  16 [size=\"96320853\", alpha=\"0.18\", expect_size=\"28896256\"] \n  16 -> 19 [size =\"28896256\"]\n  16 -> 20 [size =\"28896256\"]\n  16 -> 21 [size =\"28896256\"]\n  17 [size=\"79080107\", alpha=\"0.07\", expect_size=\"23724032\"] \n  17 -> 19 [size =\"23724032\"]\n  17 -> 20 [size =\"23724032\"]\n  17 -> 21 [size =\"23724032\"]\n  18 [size=\"158706347\", alpha=\"0.07\", expect_size=\"47611904\"] \n  18 -> 19 [size =\"47611904\"]\n  18 -> 20 [size =\"47611904\"]\n  18 -> 21 [size =\"47611904\"]\n  18 -> 22 [size =\"47611904\"]\n  19 [size=\"19514027\", alpha=\"0.19\", expect_size=\"5854208\"] \n  19 -> 23 [size =\"5854208\"]\n  19 -> 25 [size =\"5854208\"]\n  20 [size=\"122309973\", alpha=\"0.17\", expect_size=\"36692992\"] \n  20 -> 24 [size =\"36692992\"]\n  20 -> 25 [size =\"36692992\"]\n  21 [size=\"106345813\", alpha=\"0.19\", expect_size=\"31903744\"] \n  21 -> 23 [size =\"31903744\"]\n  21 -> 24 [size =\"31903744\"]\n  21 -> 26 [size =\"31903744\"]\n  22 [size=\"90265600\", alpha=\"0.09\", expect_size=\"27079680\"] \n  22 -> 23 [size =\"27079680\"]\n  22 -> 25 [size =\"27079680\"]\n  23 [size=\"173636267\", alpha=\"0.16\", expect_size=\"52090880\"] \n  23 -> 28 [size =\"52090880\"]\n  23 -> 30 [size =\"52090880\"]\n  24 [size=\"22712320\", alpha=\"0.14\", expect_size=\"6813696\"] \n  24 -> 28 [size =\"6813696\"]\n  24 -> 29 [size =\"6813696\"]\n  24 -> 30 [size =\"6813696\"]\n  25 [size=\"66092373\", alpha=\"0.08\", expect_size=\"19827712\"] \n  25 -> 28 [size =\"19827712\"]\n  25 -> 29 [size =\"19827712\"]\n  25 -> 30 [size =\"19827712\"]\n  26 [size=\"145479680\", alpha=\"0.11\", expect_size=\"43643904\"] \n  26 -> 27 [size =\"43643904\"]\n  26 -> 28 [size =\"43643904\"]\n  26 -> 29 [size =\"43643904\"]\n  26 -> 30 [size =\"43643904\"]\n  27 [size=\"133058560\", alpha=\"0.03\", expect_size=\"39917568\"] \n  27 -> 31 [size =\"39917568\"]\n  27 -> 32 [size =\"39917568\"]\n  27 -> 33 [size =\"39917568\"]\n  27 -> 34 [size =\"39917568\"]\n  27 -> 35 [size =\"39917568\"]\n  28 [size=\"31378773\", alpha=\"0.01\", expect_size=\"9413632\"] \n  28 -> 31 [size =\"9413632\"]\n  28 -> 32 [size =\"9413632\"]\n  28 -> 33 [size =\"9413632\"]\n  28 -> 34 [size =\"9413632\"]\n  28 -> 35 [size =\"9413632\"]\n  29 [size=\"82923520\", alpha=\"0.08\", expect_size=\"24877056\"] \n  29 -> 31 [size =\"24877056\"]\n  29 -> 34 [size =\"24877056\"]\n  30 [size=\"74240000\", alpha=\"0.12\", expect_size=\"22272000\"] \n  30 -> 31 [size =\"22272000\"]\n  30 -> 32 [size =\"22272000\"]\n  30 -> 33 [size =\"22272000\"]\n  30 -> 34 [size =\"22272000\"]\n  31 [size=\"48913067\", alpha=\"0.06\", expect_size=\"14673920\"] \n  32 [size=\"44605440\", alpha=\"0.15\", expect_size=\"13381632\"] \n  33 [size=\"111633067\", alpha=\"0.06\", expect_size=\"33489920\"] \n  34 [size=\"78755840\", alpha=\"0.01\", expect_size=\"23626752\"] \n  35 [size=\"27729920\", alpha=\"0.17\", expect_size=\"8318976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27566080\", alpha=\"0.14\", expect_size=\"13783040\"] \n  1 -> 15 [size =\"13783040\"]\n  1 -> 16 [size =\"13783040\"]\n  1 -> 17 [size =\"13783040\"]\n  1 -> 18 [size =\"13783040\"]\n  1 -> 20 [size =\"13783040\"]\n  1 -> 22 [size =\"13783040\"]\n  1 -> 24 [size =\"13783040\"]\n  1 -> 25 [size =\"13783040\"]\n  2 [size=\"54829056\", alpha=\"0.07\", expect_size=\"27414528\"] \n  2 -> 17 [size =\"27414528\"]\n  2 -> 18 [size =\"27414528\"]\n  2 -> 19 [size =\"27414528\"]\n  2 -> 20 [size =\"27414528\"]\n  2 -> 24 [size =\"27414528\"]\n  3 [size=\"73924608\", alpha=\"0.03\", expect_size=\"36962304\"] \n  3 -> 17 [size =\"36962304\"]\n  3 -> 18 [size =\"36962304\"]\n  3 -> 19 [size =\"36962304\"]\n  3 -> 22 [size =\"36962304\"]\n  3 -> 24 [size =\"36962304\"]\n  3 -> 25 [size =\"36962304\"]\n  4 [size=\"99149824\", alpha=\"0.08\", expect_size=\"49574912\"] \n  4 -> 17 [size =\"49574912\"]\n  4 -> 18 [size =\"49574912\"]\n  4 -> 21 [size =\"49574912\"]\n  4 -> 22 [size =\"49574912\"]\n  4 -> 24 [size =\"49574912\"]\n  4 -> 25 [size =\"49574912\"]\n  5 [size=\"51576832\", alpha=\"0.01\", expect_size=\"25788416\"] \n  5 -> 15 [size =\"25788416\"]\n  5 -> 16 [size =\"25788416\"]\n  5 -> 17 [size =\"25788416\"]\n  5 -> 19 [size =\"25788416\"]\n  5 -> 22 [size =\"25788416\"]\n  5 -> 23 [size =\"25788416\"]\n  5 -> 24 [size =\"25788416\"]\n  6 [size=\"22667264\", alpha=\"0.19\", expect_size=\"11333632\"] \n  6 -> 17 [size =\"11333632\"]\n  6 -> 23 [size =\"11333632\"]\n  6 -> 24 [size =\"11333632\"]\n  6 -> 25 [size =\"11333632\"]\n  7 [size=\"90365952\", alpha=\"0.04\", expect_size=\"45182976\"] \n  7 -> 15 [size =\"45182976\"]\n  7 -> 20 [size =\"45182976\"]\n  7 -> 21 [size =\"45182976\"]\n  7 -> 22 [size =\"45182976\"]\n  8 [size=\"94162944\", alpha=\"0.07\", expect_size=\"47081472\"] \n  8 -> 15 [size =\"47081472\"]\n  8 -> 17 [size =\"47081472\"]\n  8 -> 18 [size =\"47081472\"]\n  8 -> 19 [size =\"47081472\"]\n  8 -> 20 [size =\"47081472\"]\n  8 -> 21 [size =\"47081472\"]\n  8 -> 22 [size =\"47081472\"]\n  8 -> 23 [size =\"47081472\"]\n  9 [size=\"42305536\", alpha=\"0.19\", expect_size=\"21152768\"] \n  9 -> 17 [size =\"21152768\"]\n  9 -> 18 [size =\"21152768\"]\n  9 -> 21 [size =\"21152768\"]\n  9 -> 25 [size =\"21152768\"]\n  10 [size=\"78706688\", alpha=\"0.08\", expect_size=\"39353344\"] \n  10 -> 17 [size =\"39353344\"]\n  10 -> 18 [size =\"39353344\"]\n  10 -> 21 [size =\"39353344\"]\n  10 -> 22 [size =\"39353344\"]\n  10 -> 23 [size =\"39353344\"]\n  10 -> 25 [size =\"39353344\"]\n  11 [size=\"102445056\", alpha=\"0.14\", expect_size=\"51222528\"] \n  11 -> 16 [size =\"51222528\"]\n  11 -> 17 [size =\"51222528\"]\n  11 -> 18 [size =\"51222528\"]\n  11 -> 21 [size =\"51222528\"]\n  11 -> 22 [size =\"51222528\"]\n  11 -> 23 [size =\"51222528\"]\n  11 -> 24 [size =\"51222528\"]\n  11 -> 25 [size =\"51222528\"]\n  12 [size=\"76288000\", alpha=\"0.09\", expect_size=\"38144000\"] \n  12 -> 16 [size =\"38144000\"]\n  12 -> 17 [size =\"38144000\"]\n  12 -> 18 [size =\"38144000\"]\n  12 -> 20 [size =\"38144000\"]\n  12 -> 21 [size =\"38144000\"]\n  12 -> 22 [size =\"38144000\"]\n  12 -> 23 [size =\"38144000\"]\n  12 -> 24 [size =\"38144000\"]\n  12 -> 25 [size =\"38144000\"]\n  13 [size=\"15425536\", alpha=\"0.04\", expect_size=\"7712768\"] \n  13 -> 16 [size =\"7712768\"]\n  13 -> 18 [size =\"7712768\"]\n  13 -> 18 [size =\"7712768\"]\n  13 -> 19 [size =\"7712768\"]\n  13 -> 22 [size =\"7712768\"]\n  13 -> 22 [size =\"7712768\"]\n  13 -> 23 [size =\"7712768\"]\n  13 -> 24 [size =\"7712768\"]\n  14 [size=\"29503488\", alpha=\"0.12\", expect_size=\"14751744\"] \n  14 -> 17 [size =\"14751744\"]\n  14 -> 18 [size =\"14751744\"]\n  14 -> 19 [size =\"14751744\"]\n  14 -> 21 [size =\"14751744\"]\n  14 -> 24 [size =\"14751744\"]\n  15 [size=\"67328000\", alpha=\"0.03\", expect_size=\"33664000\"] \n  15 -> 27 [size =\"33664000\"]\n  15 -> 29 [size =\"33664000\"]\n  15 -> 30 [size =\"33664000\"]\n  15 -> 32 [size =\"33664000\"]\n  15 -> 34 [size =\"33664000\"]\n  15 -> 35 [size =\"33664000\"]\n  16 [size=\"72579072\", alpha=\"0.07\", expect_size=\"36289536\"] \n  16 -> 27 [size =\"36289536\"]\n  16 -> 28 [size =\"36289536\"]\n  17 [size=\"70109184\", alpha=\"0.03\", expect_size=\"35054592\"] \n  17 -> 27 [size =\"35054592\"]\n  17 -> 29 [size =\"35054592\"]\n  17 -> 32 [size =\"35054592\"]\n  17 -> 35 [size =\"35054592\"]\n  18 [size=\"90220544\", alpha=\"0.00\", expect_size=\"45110272\"] \n  18 -> 26 [size =\"45110272\"]\n  18 -> 27 [size =\"45110272\"]\n  18 -> 28 [size =\"45110272\"]\n  18 -> 30 [size =\"45110272\"]\n  18 -> 32 [size =\"45110272\"]\n  18 -> 33 [size =\"45110272\"]\n  19 [size=\"30038016\", alpha=\"0.04\", expect_size=\"15019008\"] \n  19 -> 26 [size =\"15019008\"]\n  19 -> 28 [size =\"15019008\"]\n  19 -> 29 [size =\"15019008\"]\n  19 -> 30 [size =\"15019008\"]\n  19 -> 31 [size =\"15019008\"]\n  19 -> 32 [size =\"15019008\"]\n  20 [size=\"25749504\", alpha=\"0.05\", expect_size=\"12874752\"] \n  20 -> 28 [size =\"12874752\"]\n  20 -> 28 [size =\"12874752\"]\n  20 -> 29 [size =\"12874752\"]\n  21 [size=\"62992384\", alpha=\"0.09\", expect_size=\"31496192\"] \n  21 -> 26 [size =\"31496192\"]\n  21 -> 27 [size =\"31496192\"]\n  21 -> 29 [size =\"31496192\"]\n  21 -> 32 [size =\"31496192\"]\n  21 -> 35 [size =\"31496192\"]\n  22 [size=\"32583680\", alpha=\"0.03\", expect_size=\"16291840\"] \n  22 -> 26 [size =\"16291840\"]\n  22 -> 28 [size =\"16291840\"]\n  22 -> 29 [size =\"16291840\"]\n  22 -> 30 [size =\"16291840\"]\n  22 -> 32 [size =\"16291840\"]\n  22 -> 34 [size =\"16291840\"]\n  23 [size=\"76167168\", alpha=\"0.10\", expect_size=\"38083584\"] \n  23 -> 26 [size =\"38083584\"]\n  23 -> 28 [size =\"38083584\"]\n  23 -> 29 [size =\"38083584\"]\n  23 -> 31 [size =\"38083584\"]\n  23 -> 32 [size =\"38083584\"]\n  23 -> 34 [size =\"38083584\"]\n  24 [size=\"97024000\", alpha=\"0.15\", expect_size=\"48512000\"] \n  24 -> 26 [size =\"48512000\"]\n  24 -> 29 [size =\"48512000\"]\n  24 -> 29 [size =\"48512000\"]\n  24 -> 32 [size =\"48512000\"]\n  25 [size=\"60256256\", alpha=\"0.10\", expect_size=\"30128128\"] \n  25 -> 27 [size =\"30128128\"]\n  25 -> 29 [size =\"30128128\"]\n  25 -> 31 [size =\"30128128\"]\n  25 -> 32 [size =\"30128128\"]\n  25 -> 35 [size =\"30128128\"]\n  26 [size=\"72835072\", alpha=\"0.07\", expect_size=\"36417536\"] \n  27 [size=\"11073536\", alpha=\"0.01\", expect_size=\"5536768\"] \n  28 [size=\"26650624\", alpha=\"0.13\", expect_size=\"13325312\"] \n  29 [size=\"28573696\", alpha=\"0.11\", expect_size=\"14286848\"] \n  30 [size=\"49281024\", alpha=\"0.04\", expect_size=\"24640512\"] \n  31 [size=\"72478720\", alpha=\"0.17\", expect_size=\"36239360\"] \n  32 [size=\"20877312\", alpha=\"0.03\", expect_size=\"10438656\"] \n  33 [size=\"33193984\", alpha=\"0.10\", expect_size=\"16596992\"] \n  34 [size=\"78497792\", alpha=\"0.02\", expect_size=\"39248896\"] \n  35 [size=\"56711168\", alpha=\"0.05\", expect_size=\"28355584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40501248\", alpha=\"0.13\", expect_size=\"20250624\"] \n  1 -> 13 [size =\"20250624\"]\n  1 -> 14 [size =\"20250624\"]\n  1 -> 16 [size =\"20250624\"]\n  1 -> 19 [size =\"20250624\"]\n  1 -> 19 [size =\"20250624\"]\n  1 -> 20 [size =\"20250624\"]\n  1 -> 24 [size =\"20250624\"]\n  1 -> 24 [size =\"20250624\"]\n  2 [size=\"75431936\", alpha=\"0.19\", expect_size=\"37715968\"] \n  2 -> 13 [size =\"37715968\"]\n  2 -> 18 [size =\"37715968\"]\n  2 -> 19 [size =\"37715968\"]\n  2 -> 23 [size =\"37715968\"]\n  2 -> 24 [size =\"37715968\"]\n  3 [size=\"89489408\", alpha=\"0.09\", expect_size=\"44744704\"] \n  3 -> 13 [size =\"44744704\"]\n  3 -> 15 [size =\"44744704\"]\n  3 -> 16 [size =\"44744704\"]\n  3 -> 17 [size =\"44744704\"]\n  3 -> 19 [size =\"44744704\"]\n  3 -> 22 [size =\"44744704\"]\n  3 -> 23 [size =\"44744704\"]\n  3 -> 24 [size =\"44744704\"]\n  4 [size=\"80033792\", alpha=\"0.08\", expect_size=\"40016896\"] \n  4 -> 15 [size =\"40016896\"]\n  4 -> 16 [size =\"40016896\"]\n  4 -> 16 [size =\"40016896\"]\n  4 -> 19 [size =\"40016896\"]\n  4 -> 22 [size =\"40016896\"]\n  4 -> 23 [size =\"40016896\"]\n  5 [size=\"90570752\", alpha=\"0.12\", expect_size=\"45285376\"] \n  5 -> 15 [size =\"45285376\"]\n  5 -> 16 [size =\"45285376\"]\n  5 -> 19 [size =\"45285376\"]\n  5 -> 22 [size =\"45285376\"]\n  5 -> 24 [size =\"45285376\"]\n  6 [size=\"58474496\", alpha=\"0.12\", expect_size=\"29237248\"] \n  6 -> 14 [size =\"29237248\"]\n  6 -> 17 [size =\"29237248\"]\n  6 -> 18 [size =\"29237248\"]\n  6 -> 22 [size =\"29237248\"]\n  7 [size=\"52649984\", alpha=\"0.09\", expect_size=\"26324992\"] \n  7 -> 14 [size =\"26324992\"]\n  7 -> 15 [size =\"26324992\"]\n  7 -> 17 [size =\"26324992\"]\n  7 -> 18 [size =\"26324992\"]\n  7 -> 21 [size =\"26324992\"]\n  7 -> 23 [size =\"26324992\"]\n  7 -> 24 [size =\"26324992\"]\n  8 [size=\"42242048\", alpha=\"0.15\", expect_size=\"21121024\"] \n  8 -> 14 [size =\"21121024\"]\n  8 -> 15 [size =\"21121024\"]\n  8 -> 16 [size =\"21121024\"]\n  8 -> 17 [size =\"21121024\"]\n  8 -> 18 [size =\"21121024\"]\n  8 -> 22 [size =\"21121024\"]\n  8 -> 24 [size =\"21121024\"]\n  9 [size=\"30994432\", alpha=\"0.11\", expect_size=\"15497216\"] \n  9 -> 14 [size =\"15497216\"]\n  9 -> 15 [size =\"15497216\"]\n  9 -> 16 [size =\"15497216\"]\n  9 -> 17 [size =\"15497216\"]\n  9 -> 18 [size =\"15497216\"]\n  9 -> 22 [size =\"15497216\"]\n  9 -> 24 [size =\"15497216\"]\n  10 [size=\"52232192\", alpha=\"0.07\", expect_size=\"26116096\"] \n  10 -> 14 [size =\"26116096\"]\n  10 -> 17 [size =\"26116096\"]\n  10 -> 18 [size =\"26116096\"]\n  10 -> 21 [size =\"26116096\"]\n  10 -> 22 [size =\"26116096\"]\n  10 -> 22 [size =\"26116096\"]\n  10 -> 24 [size =\"26116096\"]\n  11 [size=\"38529024\", alpha=\"0.10\", expect_size=\"19264512\"] \n  11 -> 13 [size =\"19264512\"]\n  11 -> 14 [size =\"19264512\"]\n  11 -> 15 [size =\"19264512\"]\n  11 -> 16 [size =\"19264512\"]\n  11 -> 17 [size =\"19264512\"]\n  11 -> 18 [size =\"19264512\"]\n  11 -> 22 [size =\"19264512\"]\n  11 -> 24 [size =\"19264512\"]\n  12 [size=\"101013504\", alpha=\"0.07\", expect_size=\"50506752\"] \n  12 -> 13 [size =\"50506752\"]\n  12 -> 14 [size =\"50506752\"]\n  12 -> 17 [size =\"50506752\"]\n  12 -> 18 [size =\"50506752\"]\n  12 -> 19 [size =\"50506752\"]\n  12 -> 22 [size =\"50506752\"]\n  12 -> 22 [size =\"50506752\"]\n  12 -> 24 [size =\"50506752\"]\n  13 [size=\"97554432\", alpha=\"0.13\", expect_size=\"48777216\"] \n  13 -> 27 [size =\"48777216\"]\n  13 -> 29 [size =\"48777216\"]\n  13 -> 30 [size =\"48777216\"]\n  13 -> 31 [size =\"48777216\"]\n  13 -> 31 [size =\"48777216\"]\n  13 -> 33 [size =\"48777216\"]\n  14 [size=\"47523840\", alpha=\"0.02\", expect_size=\"23761920\"] \n  14 -> 26 [size =\"23761920\"]\n  14 -> 29 [size =\"23761920\"]\n  14 -> 31 [size =\"23761920\"]\n  14 -> 33 [size =\"23761920\"]\n  14 -> 34 [size =\"23761920\"]\n  14 -> 35 [size =\"23761920\"]\n  15 [size=\"83419136\", alpha=\"0.10\", expect_size=\"41709568\"] \n  15 -> 26 [size =\"41709568\"]\n  15 -> 27 [size =\"41709568\"]\n  15 -> 29 [size =\"41709568\"]\n  15 -> 30 [size =\"41709568\"]\n  15 -> 33 [size =\"41709568\"]\n  16 [size=\"43773952\", alpha=\"0.11\", expect_size=\"21886976\"] \n  16 -> 26 [size =\"21886976\"]\n  16 -> 30 [size =\"21886976\"]\n  16 -> 33 [size =\"21886976\"]\n  17 [size=\"101672960\", alpha=\"0.05\", expect_size=\"50836480\"] \n  17 -> 26 [size =\"50836480\"]\n  17 -> 27 [size =\"50836480\"]\n  17 -> 30 [size =\"50836480\"]\n  17 -> 31 [size =\"50836480\"]\n  17 -> 35 [size =\"50836480\"]\n  18 [size=\"49709056\", alpha=\"0.01\", expect_size=\"24854528\"] \n  18 -> 26 [size =\"24854528\"]\n  18 -> 28 [size =\"24854528\"]\n  18 -> 29 [size =\"24854528\"]\n  18 -> 30 [size =\"24854528\"]\n  18 -> 32 [size =\"24854528\"]\n  18 -> 33 [size =\"24854528\"]\n  19 [size=\"28442624\", alpha=\"0.08\", expect_size=\"14221312\"] \n  19 -> 27 [size =\"14221312\"]\n  19 -> 29 [size =\"14221312\"]\n  19 -> 30 [size =\"14221312\"]\n  19 -> 31 [size =\"14221312\"]\n  19 -> 35 [size =\"14221312\"]\n  20 [size=\"82575360\", alpha=\"0.07\", expect_size=\"41287680\"] \n  20 -> 26 [size =\"41287680\"]\n  20 -> 27 [size =\"41287680\"]\n  20 -> 29 [size =\"41287680\"]\n  20 -> 30 [size =\"41287680\"]\n  20 -> 31 [size =\"41287680\"]\n  20 -> 33 [size =\"41287680\"]\n  20 -> 35 [size =\"41287680\"]\n  21 [size=\"20103168\", alpha=\"0.11\", expect_size=\"10051584\"] \n  21 -> 26 [size =\"10051584\"]\n  21 -> 27 [size =\"10051584\"]\n  21 -> 30 [size =\"10051584\"]\n  21 -> 31 [size =\"10051584\"]\n  21 -> 33 [size =\"10051584\"]\n  21 -> 34 [size =\"10051584\"]\n  21 -> 35 [size =\"10051584\"]\n  22 [size=\"66056192\", alpha=\"0.10\", expect_size=\"33028096\"] \n  22 -> 27 [size =\"33028096\"]\n  22 -> 30 [size =\"33028096\"]\n  22 -> 31 [size =\"33028096\"]\n  22 -> 33 [size =\"33028096\"]\n  22 -> 35 [size =\"33028096\"]\n  23 [size=\"99860480\", alpha=\"0.05\", expect_size=\"49930240\"] \n  23 -> 26 [size =\"49930240\"]\n  23 -> 27 [size =\"49930240\"]\n  23 -> 30 [size =\"49930240\"]\n  23 -> 31 [size =\"49930240\"]\n  24 [size=\"65206272\", alpha=\"0.15\", expect_size=\"32603136\"] \n  24 -> 25 [size =\"32603136\"]\n  24 -> 27 [size =\"32603136\"]\n  24 -> 28 [size =\"32603136\"]\n  24 -> 29 [size =\"32603136\"]\n  24 -> 31 [size =\"32603136\"]\n  24 -> 33 [size =\"32603136\"]\n  25 [size=\"76660736\", alpha=\"0.02\", expect_size=\"38330368\"] \n  26 [size=\"29673472\", alpha=\"0.19\", expect_size=\"14836736\"] \n  27 [size=\"79835136\", alpha=\"0.05\", expect_size=\"39917568\"] \n  28 [size=\"103297024\", alpha=\"0.17\", expect_size=\"51648512\"] \n  29 [size=\"13899776\", alpha=\"0.14\", expect_size=\"6949888\"] \n  30 [size=\"53991424\", alpha=\"0.00\", expect_size=\"26995712\"] \n  31 [size=\"85929984\", alpha=\"0.12\", expect_size=\"42964992\"] \n  32 [size=\"45359104\", alpha=\"0.03\", expect_size=\"22679552\"] \n  33 [size=\"91596800\", alpha=\"0.13\", expect_size=\"45798400\"] \n  34 [size=\"20537344\", alpha=\"0.10\", expect_size=\"10268672\"] \n  35 [size=\"90468352\", alpha=\"0.03\", expect_size=\"45234176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117624320\", alpha=\"0.06\", expect_size=\"47049728\"] \n  1 -> 6 [size =\"47049728\"]\n  1 -> 9 [size =\"47049728\"]\n  1 -> 10 [size =\"47049728\"]\n  2 [size=\"67724800\", alpha=\"0.13\", expect_size=\"27089920\"] \n  2 -> 6 [size =\"27089920\"]\n  2 -> 7 [size =\"27089920\"]\n  2 -> 9 [size =\"27089920\"]\n  2 -> 10 [size =\"27089920\"]\n  3 [size=\"115054080\", alpha=\"0.09\", expect_size=\"46021632\"] \n  3 -> 7 [size =\"46021632\"]\n  4 [size=\"117347840\", alpha=\"0.01\", expect_size=\"46939136\"] \n  4 -> 7 [size =\"46939136\"]\n  5 [size=\"53675520\", alpha=\"0.07\", expect_size=\"21470208\"] \n  5 -> 6 [size =\"21470208\"]\n  5 -> 7 [size =\"21470208\"]\n  5 -> 8 [size =\"21470208\"]\n  6 [size=\"22412800\", alpha=\"0.05\", expect_size=\"8965120\"] \n  6 -> 11 [size =\"8965120\"]\n  6 -> 12 [size =\"8965120\"]\n  6 -> 13 [size =\"8965120\"]\n  6 -> 14 [size =\"8965120\"]\n  7 [size=\"63078400\", alpha=\"0.14\", expect_size=\"25231360\"] \n  7 -> 11 [size =\"25231360\"]\n  7 -> 13 [size =\"25231360\"]\n  7 -> 14 [size =\"25231360\"]\n  8 [size=\"76692480\", alpha=\"0.06\", expect_size=\"30676992\"] \n  8 -> 11 [size =\"30676992\"]\n  8 -> 12 [size =\"30676992\"]\n  8 -> 13 [size =\"30676992\"]\n  9 [size=\"18746880\", alpha=\"0.02\", expect_size=\"7498752\"] \n  9 -> 11 [size =\"7498752\"]\n  10 [size=\"72683520\", alpha=\"0.07\", expect_size=\"29073408\"] \n  11 [size=\"103815680\", alpha=\"0.09\", expect_size=\"41526272\"] \n  11 -> 15 [size =\"41526272\"]\n  11 -> 18 [size =\"41526272\"]\n  12 [size=\"22668800\", alpha=\"0.08\", expect_size=\"9067520\"] \n  12 -> 15 [size =\"9067520\"]\n  12 -> 16 [size =\"9067520\"]\n  12 -> 17 [size =\"9067520\"]\n  13 [size=\"99924480\", alpha=\"0.13\", expect_size=\"39969792\"] \n  13 -> 15 [size =\"39969792\"]\n  13 -> 16 [size =\"39969792\"]\n  13 -> 18 [size =\"39969792\"]\n  13 -> 19 [size =\"39969792\"]\n  14 [size=\"33722880\", alpha=\"0.15\", expect_size=\"13489152\"] \n  15 [size=\"37358080\", alpha=\"0.02\", expect_size=\"14943232\"] \n  15 -> 23 [size =\"14943232\"]\n  16 [size=\"78003200\", alpha=\"0.03\", expect_size=\"31201280\"] \n  16 -> 20 [size =\"31201280\"]\n  16 -> 23 [size =\"31201280\"]\n  17 [size=\"109232640\", alpha=\"0.10\", expect_size=\"43693056\"] \n  17 -> 20 [size =\"43693056\"]\n  17 -> 22 [size =\"43693056\"]\n  18 [size=\"71093760\", alpha=\"0.06\", expect_size=\"28437504\"] \n  18 -> 20 [size =\"28437504\"]\n  19 [size=\"106278400\", alpha=\"0.08\", expect_size=\"42511360\"] \n  19 -> 21 [size =\"42511360\"]\n  20 [size=\"116003840\", alpha=\"0.16\", expect_size=\"46401536\"] \n  20 -> 25 [size =\"46401536\"]\n  20 -> 27 [size =\"46401536\"]\n  21 [size=\"40563200\", alpha=\"0.02\", expect_size=\"16225280\"] \n  21 -> 26 [size =\"16225280\"]\n  21 -> 27 [size =\"16225280\"]\n  22 [size=\"94778880\", alpha=\"0.17\", expect_size=\"37911552\"] \n  22 -> 24 [size =\"37911552\"]\n  23 [size=\"25149440\", alpha=\"0.10\", expect_size=\"10059776\"] \n  23 -> 24 [size =\"10059776\"]\n  23 -> 27 [size =\"10059776\"]\n  24 [size=\"101603840\", alpha=\"0.20\", expect_size=\"40641536\"] \n  24 -> 28 [size =\"40641536\"]\n  24 -> 30 [size =\"40641536\"]\n  24 -> 31 [size =\"40641536\"]\n  25 [size=\"72010240\", alpha=\"0.17\", expect_size=\"28804096\"] \n  25 -> 28 [size =\"28804096\"]\n  26 [size=\"86607360\", alpha=\"0.16\", expect_size=\"34642944\"] \n  26 -> 29 [size =\"34642944\"]\n  27 [size=\"106288640\", alpha=\"0.03\", expect_size=\"42515456\"] \n  27 -> 28 [size =\"42515456\"]\n  27 -> 29 [size =\"42515456\"]\n  27 -> 31 [size =\"42515456\"]\n  28 [size=\"46315520\", alpha=\"0.01\", expect_size=\"18526208\"] \n  28 -> 32 [size =\"18526208\"]\n  29 [size=\"82488320\", alpha=\"0.19\", expect_size=\"32995328\"] \n  29 -> 32 [size =\"32995328\"]\n  29 -> 34 [size =\"32995328\"]\n  30 [size=\"128340480\", alpha=\"0.08\", expect_size=\"51336192\"] \n  30 -> 33 [size =\"51336192\"]\n  30 -> 34 [size =\"51336192\"]\n  30 -> 35 [size =\"51336192\"]\n  31 [size=\"104801280\", alpha=\"0.13\", expect_size=\"41920512\"] \n  31 -> 32 [size =\"41920512\"]\n  31 -> 33 [size =\"41920512\"]\n  31 -> 34 [size =\"41920512\"]\n  32 [size=\"116392960\", alpha=\"0.19\", expect_size=\"46557184\"] \n  33 [size=\"99765760\", alpha=\"0.19\", expect_size=\"39906304\"] \n  34 [size=\"38901760\", alpha=\"0.03\", expect_size=\"15560704\"] \n  35 [size=\"38041600\", alpha=\"0.12\", expect_size=\"15216640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40333312\", alpha=\"0.02\", expect_size=\"20166656\"] \n  1 -> 2 [size =\"20166656\"]\n  2 [size=\"26271744\", alpha=\"0.17\", expect_size=\"13135872\"] \n  2 -> 3 [size =\"13135872\"]\n  3 [size=\"57169920\", alpha=\"0.02\", expect_size=\"28584960\"] \n  3 -> 4 [size =\"28584960\"]\n  4 [size=\"33955840\", alpha=\"0.06\", expect_size=\"16977920\"] \n  4 -> 5 [size =\"16977920\"]\n  5 [size=\"61947904\", alpha=\"0.05\", expect_size=\"30973952\"] \n  5 -> 6 [size =\"30973952\"]\n  6 [size=\"94791680\", alpha=\"0.15\", expect_size=\"47395840\"] \n  6 -> 7 [size =\"47395840\"]\n  7 [size=\"70488064\", alpha=\"0.15\", expect_size=\"35244032\"] \n  7 -> 8 [size =\"35244032\"]\n  8 [size=\"90697728\", alpha=\"0.09\", expect_size=\"45348864\"] \n  8 -> 9 [size =\"45348864\"]\n  9 [size=\"76627968\", alpha=\"0.10\", expect_size=\"38313984\"] \n  9 -> 10 [size =\"38313984\"]\n  10 [size=\"47116288\", alpha=\"0.18\", expect_size=\"23558144\"] \n  10 -> 11 [size =\"23558144\"]\n  11 [size=\"57446400\", alpha=\"0.12\", expect_size=\"28723200\"] \n  11 -> 12 [size =\"28723200\"]\n  12 [size=\"67553280\", alpha=\"0.05\", expect_size=\"33776640\"] \n  12 -> 13 [size =\"33776640\"]\n  13 [size=\"55545856\", alpha=\"0.15\", expect_size=\"27772928\"] \n  13 -> 14 [size =\"27772928\"]\n  14 [size=\"67108864\", alpha=\"0.11\", expect_size=\"33554432\"] \n  14 -> 15 [size =\"33554432\"]\n  15 [size=\"93229056\", alpha=\"0.15\", expect_size=\"46614528\"] \n  15 -> 16 [size =\"46614528\"]\n  16 [size=\"23453696\", alpha=\"0.09\", expect_size=\"11726848\"] \n  16 -> 17 [size =\"11726848\"]\n  17 [size=\"93267968\", alpha=\"0.10\", expect_size=\"46633984\"] \n  17 -> 18 [size =\"46633984\"]\n  18 [size=\"68526080\", alpha=\"0.17\", expect_size=\"34263040\"] \n  18 -> 19 [size =\"34263040\"]\n  19 [size=\"16521216\", alpha=\"0.18\", expect_size=\"8260608\"] \n  19 -> 20 [size =\"8260608\"]\n  20 [size=\"62840832\", alpha=\"0.18\", expect_size=\"31420416\"] \n  20 -> 21 [size =\"31420416\"]\n  21 [size=\"53815296\", alpha=\"0.05\", expect_size=\"26907648\"] \n  21 -> 22 [size =\"26907648\"]\n  22 [size=\"14974976\", alpha=\"0.15\", expect_size=\"7487488\"] \n  22 -> 23 [size =\"7487488\"]\n  23 [size=\"40306688\", alpha=\"0.15\", expect_size=\"20153344\"] \n  23 -> 24 [size =\"20153344\"]\n  24 [size=\"15194112\", alpha=\"0.19\", expect_size=\"7597056\"] \n  24 -> 25 [size =\"7597056\"]\n  25 [size=\"66637824\", alpha=\"0.15\", expect_size=\"33318912\"] \n  25 -> 26 [size =\"33318912\"]\n  26 [size=\"44580864\", alpha=\"0.09\", expect_size=\"22290432\"] \n  26 -> 27 [size =\"22290432\"]\n  27 [size=\"89239552\", alpha=\"0.15\", expect_size=\"44619776\"] \n  27 -> 28 [size =\"44619776\"]\n  28 [size=\"41816064\", alpha=\"0.18\", expect_size=\"20908032\"] \n  28 -> 29 [size =\"20908032\"]\n  29 [size=\"28604416\", alpha=\"0.16\", expect_size=\"14302208\"] \n  29 -> 30 [size =\"14302208\"]\n  30 [size=\"17543168\", alpha=\"0.01\", expect_size=\"8771584\"] \n  30 -> 31 [size =\"8771584\"]\n  31 [size=\"102379520\", alpha=\"0.16\", expect_size=\"51189760\"] \n  31 -> 32 [size =\"51189760\"]\n  32 [size=\"29843456\", alpha=\"0.03\", expect_size=\"14921728\"] \n  32 -> 33 [size =\"14921728\"]\n  33 [size=\"98840576\", alpha=\"0.20\", expect_size=\"49420288\"] \n  33 -> 34 [size =\"49420288\"]\n  34 [size=\"72939520\", alpha=\"0.09\", expect_size=\"36469760\"] \n  34 -> 35 [size =\"36469760\"]\n  35 [size=\"69984256\", alpha=\"0.15\", expect_size=\"34992128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86842880\", alpha=\"0.17\", expect_size=\"34737152\"] \n  1 -> 2 [size =\"34737152\"]\n  2 [size=\"20592640\", alpha=\"0.16\", expect_size=\"8237056\"] \n  2 -> 3 [size =\"8237056\"]\n  3 [size=\"61089280\", alpha=\"0.17\", expect_size=\"24435712\"] \n  3 -> 4 [size =\"24435712\"]\n  4 [size=\"43880960\", alpha=\"0.18\", expect_size=\"17552384\"] \n  4 -> 5 [size =\"17552384\"]\n  5 [size=\"62287360\", alpha=\"0.16\", expect_size=\"24914944\"] \n  5 -> 6 [size =\"24914944\"]\n  6 [size=\"23063040\", alpha=\"0.08\", expect_size=\"9225216\"] \n  6 -> 7 [size =\"9225216\"]\n  7 [size=\"98969600\", alpha=\"0.17\", expect_size=\"39587840\"] \n  7 -> 8 [size =\"39587840\"]\n  8 [size=\"118760960\", alpha=\"0.19\", expect_size=\"47504384\"] \n  8 -> 9 [size =\"47504384\"]\n  9 [size=\"63383040\", alpha=\"0.04\", expect_size=\"25353216\"] \n  9 -> 10 [size =\"25353216\"]\n  10 [size=\"14215680\", alpha=\"0.19\", expect_size=\"5686272\"] \n  10 -> 11 [size =\"5686272\"]\n  11 [size=\"90324480\", alpha=\"0.18\", expect_size=\"36129792\"] \n  11 -> 12 [size =\"36129792\"]\n  12 [size=\"74324480\", alpha=\"0.10\", expect_size=\"29729792\"] \n  12 -> 13 [size =\"29729792\"]\n  13 [size=\"50600960\", alpha=\"0.03\", expect_size=\"20240384\"] \n  13 -> 14 [size =\"20240384\"]\n  14 [size=\"32993280\", alpha=\"0.03\", expect_size=\"13197312\"] \n  14 -> 15 [size =\"13197312\"]\n  15 [size=\"23992320\", alpha=\"0.02\", expect_size=\"9596928\"] \n  15 -> 16 [size =\"9596928\"]\n  16 [size=\"117580800\", alpha=\"0.03\", expect_size=\"47032320\"] \n  16 -> 17 [size =\"47032320\"]\n  17 [size=\"44472320\", alpha=\"0.05\", expect_size=\"17788928\"] \n  17 -> 18 [size =\"17788928\"]\n  18 [size=\"25185280\", alpha=\"0.02\", expect_size=\"10074112\"] \n  18 -> 19 [size =\"10074112\"]\n  19 [size=\"17784320\", alpha=\"0.15\", expect_size=\"7113728\"] \n  19 -> 20 [size =\"7113728\"]\n  20 [size=\"42470400\", alpha=\"0.17\", expect_size=\"16988160\"] \n  20 -> 21 [size =\"16988160\"]\n  21 [size=\"37434880\", alpha=\"0.11\", expect_size=\"14973952\"] \n  21 -> 22 [size =\"14973952\"]\n  22 [size=\"27560960\", alpha=\"0.06\", expect_size=\"11024384\"] \n  22 -> 23 [size =\"11024384\"]\n  23 [size=\"84254720\", alpha=\"0.10\", expect_size=\"33701888\"] \n  23 -> 24 [size =\"33701888\"]\n  24 [size=\"102184960\", alpha=\"0.18\", expect_size=\"40873984\"] \n  24 -> 25 [size =\"40873984\"]\n  25 [size=\"119828480\", alpha=\"0.15\", expect_size=\"47931392\"] \n  25 -> 26 [size =\"47931392\"]\n  26 [size=\"129510400\", alpha=\"0.14\", expect_size=\"51804160\"] \n  26 -> 27 [size =\"51804160\"]\n  27 [size=\"28119040\", alpha=\"0.07\", expect_size=\"11247616\"] \n  27 -> 28 [size =\"11247616\"]\n  28 [size=\"57943040\", alpha=\"0.19\", expect_size=\"23177216\"] \n  28 -> 29 [size =\"23177216\"]\n  29 [size=\"71595520\", alpha=\"0.18\", expect_size=\"28638208\"] \n  29 -> 30 [size =\"28638208\"]\n  30 [size=\"43031040\", alpha=\"0.18\", expect_size=\"17212416\"] \n  30 -> 31 [size =\"17212416\"]\n  31 [size=\"23723520\", alpha=\"0.11\", expect_size=\"9489408\"] \n  31 -> 32 [size =\"9489408\"]\n  32 [size=\"87411200\", alpha=\"0.15\", expect_size=\"34964480\"] \n  32 -> 33 [size =\"34964480\"]\n  33 [size=\"123614720\", alpha=\"0.04\", expect_size=\"49445888\"] \n  33 -> 34 [size =\"49445888\"]\n  34 [size=\"62353920\", alpha=\"0.17\", expect_size=\"24941568\"] \n  34 -> 35 [size =\"24941568\"]\n  35 [size=\"52367360\", alpha=\"0.12\", expect_size=\"20946944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169069227\", alpha=\"0.13\", expect_size=\"50720768\"] \n  1 -> 2 [size =\"50720768\"]\n  2 [size=\"174090240\", alpha=\"0.05\", expect_size=\"52227072\"] \n  2 -> 3 [size =\"52227072\"]\n  3 [size=\"74420907\", alpha=\"0.12\", expect_size=\"22326272\"] \n  3 -> 4 [size =\"22326272\"]\n  4 [size=\"68526080\", alpha=\"0.12\", expect_size=\"20557824\"] \n  4 -> 5 [size =\"20557824\"]\n  5 [size=\"72451413\", alpha=\"0.07\", expect_size=\"21735424\"] \n  5 -> 6 [size =\"21735424\"]\n  6 [size=\"72116907\", alpha=\"0.01\", expect_size=\"21635072\"] \n  6 -> 7 [size =\"21635072\"]\n  7 [size=\"81083733\", alpha=\"0.20\", expect_size=\"24325120\"] \n  7 -> 8 [size =\"24325120\"]\n  8 [size=\"102410240\", alpha=\"0.10\", expect_size=\"30723072\"] \n  8 -> 9 [size =\"30723072\"]\n  9 [size=\"59368107\", alpha=\"0.00\", expect_size=\"17810432\"] \n  9 -> 10 [size =\"17810432\"]\n  10 [size=\"58972160\", alpha=\"0.02\", expect_size=\"17691648\"] \n  10 -> 11 [size =\"17691648\"]\n  11 [size=\"169325227\", alpha=\"0.07\", expect_size=\"50797568\"] \n  11 -> 12 [size =\"50797568\"]\n  12 [size=\"113506987\", alpha=\"0.06\", expect_size=\"34052096\"] \n  12 -> 13 [size =\"34052096\"]\n  13 [size=\"153084587\", alpha=\"0.14\", expect_size=\"45925376\"] \n  13 -> 14 [size =\"45925376\"]\n  14 [size=\"91613867\", alpha=\"0.19\", expect_size=\"27484160\"] \n  14 -> 15 [size =\"27484160\"]\n  15 [size=\"29487787\", alpha=\"0.02\", expect_size=\"8846336\"] \n  15 -> 16 [size =\"8846336\"]\n  16 [size=\"86971733\", alpha=\"0.12\", expect_size=\"26091520\"] \n  16 -> 17 [size =\"26091520\"]\n  17 [size=\"97358507\", alpha=\"0.17\", expect_size=\"29207552\"] \n  17 -> 18 [size =\"29207552\"]\n  18 [size=\"95433387\", alpha=\"0.06\", expect_size=\"28630016\"] \n  18 -> 19 [size =\"28630016\"]\n  19 [size=\"172028587\", alpha=\"0.03\", expect_size=\"51608576\"] \n  19 -> 20 [size =\"51608576\"]\n  20 [size=\"172028587\", alpha=\"0.19\", expect_size=\"51608576\"] \n  20 -> 21 [size =\"51608576\"]\n  21 [size=\"29859840\", alpha=\"0.13\", expect_size=\"8957952\"] \n  21 -> 22 [size =\"8957952\"]\n  22 [size=\"84439040\", alpha=\"0.08\", expect_size=\"25331712\"] \n  22 -> 23 [size =\"25331712\"]\n  23 [size=\"134283947\", alpha=\"0.10\", expect_size=\"40285184\"] \n  23 -> 24 [size =\"40285184\"]\n  24 [size=\"90405547\", alpha=\"0.18\", expect_size=\"27121664\"] \n  24 -> 25 [size =\"27121664\"]\n  25 [size=\"80766293\", alpha=\"0.13\", expect_size=\"24229888\"] \n  25 -> 26 [size =\"24229888\"]\n  26 [size=\"100420267\", alpha=\"0.16\", expect_size=\"30126080\"] \n  26 -> 27 [size =\"30126080\"]\n  27 [size=\"35645440\", alpha=\"0.06\", expect_size=\"10693632\"] \n  27 -> 28 [size =\"10693632\"]\n  28 [size=\"170164907\", alpha=\"0.07\", expect_size=\"51049472\"] \n  28 -> 29 [size =\"51049472\"]\n  29 [size=\"60361387\", alpha=\"0.14\", expect_size=\"18108416\"] \n  29 -> 30 [size =\"18108416\"]\n  30 [size=\"86613333\", alpha=\"0.05\", expect_size=\"25984000\"] \n  30 -> 31 [size =\"25984000\"]\n  31 [size=\"76554240\", alpha=\"0.16\", expect_size=\"22966272\"] \n  31 -> 32 [size =\"22966272\"]\n  32 [size=\"24500907\", alpha=\"0.20\", expect_size=\"7350272\"] \n  32 -> 33 [size =\"7350272\"]\n  33 [size=\"87063893\", alpha=\"0.00\", expect_size=\"26119168\"] \n  33 -> 34 [size =\"26119168\"]\n  34 [size=\"163901440\", alpha=\"0.10\", expect_size=\"49170432\"] \n  34 -> 35 [size =\"49170432\"]\n  35 [size=\"148783787\", alpha=\"0.01\", expect_size=\"44635136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36306944\", alpha=\"0.15\", expect_size=\"18153472\"] \n  1 -> 5 [size =\"18153472\"]\n  1 -> 8 [size =\"18153472\"]\n  1 -> 10 [size =\"18153472\"]\n  2 [size=\"72507392\", alpha=\"0.16\", expect_size=\"36253696\"] \n  2 -> 6 [size =\"36253696\"]\n  2 -> 7 [size =\"36253696\"]\n  2 -> 8 [size =\"36253696\"]\n  2 -> 9 [size =\"36253696\"]\n  3 [size=\"96493568\", alpha=\"0.20\", expect_size=\"48246784\"] \n  3 -> 5 [size =\"48246784\"]\n  3 -> 7 [size =\"48246784\"]\n  3 -> 8 [size =\"48246784\"]\n  3 -> 9 [size =\"48246784\"]\n  3 -> 10 [size =\"48246784\"]\n  4 [size=\"23902208\", alpha=\"0.08\", expect_size=\"11951104\"] \n  4 -> 5 [size =\"11951104\"]\n  4 -> 8 [size =\"11951104\"]\n  4 -> 9 [size =\"11951104\"]\n  4 -> 10 [size =\"11951104\"]\n  4 -> 10 [size =\"11951104\"]\n  5 [size=\"86280192\", alpha=\"0.11\", expect_size=\"43140096\"] \n  5 -> 11 [size =\"43140096\"]\n  5 -> 12 [size =\"43140096\"]\n  6 [size=\"45737984\", alpha=\"0.02\", expect_size=\"22868992\"] \n  6 -> 13 [size =\"22868992\"]\n  7 [size=\"93636608\", alpha=\"0.01\", expect_size=\"46818304\"] \n  7 -> 11 [size =\"46818304\"]\n  7 -> 12 [size =\"46818304\"]\n  8 [size=\"79730688\", alpha=\"0.17\", expect_size=\"39865344\"] \n  8 -> 11 [size =\"39865344\"]\n  8 -> 12 [size =\"39865344\"]\n  9 [size=\"97257472\", alpha=\"0.15\", expect_size=\"48628736\"] \n  9 -> 11 [size =\"48628736\"]\n  9 -> 12 [size =\"48628736\"]\n  9 -> 13 [size =\"48628736\"]\n  10 [size=\"11692032\", alpha=\"0.08\", expect_size=\"5846016\"] \n  10 -> 11 [size =\"5846016\"]\n  10 -> 12 [size =\"5846016\"]\n  11 [size=\"42485760\", alpha=\"0.16\", expect_size=\"21242880\"] \n  11 -> 14 [size =\"21242880\"]\n  11 -> 15 [size =\"21242880\"]\n  11 -> 17 [size =\"21242880\"]\n  12 [size=\"19253248\", alpha=\"0.07\", expect_size=\"9626624\"] \n  12 -> 14 [size =\"9626624\"]\n  12 -> 15 [size =\"9626624\"]\n  12 -> 16 [size =\"9626624\"]\n  12 -> 17 [size =\"9626624\"]\n  13 [size=\"93980672\", alpha=\"0.15\", expect_size=\"46990336\"] \n  13 -> 14 [size =\"46990336\"]\n  13 -> 16 [size =\"46990336\"]\n  13 -> 16 [size =\"46990336\"]\n  14 [size=\"93179904\", alpha=\"0.11\", expect_size=\"46589952\"] \n  14 -> 18 [size =\"46589952\"]\n  14 -> 20 [size =\"46589952\"]\n  14 -> 21 [size =\"46589952\"]\n  14 -> 22 [size =\"46589952\"]\n  15 [size=\"37996544\", alpha=\"0.10\", expect_size=\"18998272\"] \n  15 -> 19 [size =\"18998272\"]\n  15 -> 20 [size =\"18998272\"]\n  15 -> 22 [size =\"18998272\"]\n  15 -> 23 [size =\"18998272\"]\n  15 -> 24 [size =\"18998272\"]\n  16 [size=\"88846336\", alpha=\"0.12\", expect_size=\"44423168\"] \n  16 -> 19 [size =\"44423168\"]\n  16 -> 20 [size =\"44423168\"]\n  16 -> 21 [size =\"44423168\"]\n  16 -> 22 [size =\"44423168\"]\n  16 -> 23 [size =\"44423168\"]\n  16 -> 24 [size =\"44423168\"]\n  17 [size=\"97427456\", alpha=\"0.00\", expect_size=\"48713728\"] \n  17 -> 19 [size =\"48713728\"]\n  17 -> 20 [size =\"48713728\"]\n  17 -> 21 [size =\"48713728\"]\n  17 -> 22 [size =\"48713728\"]\n  17 -> 23 [size =\"48713728\"]\n  18 [size=\"100896768\", alpha=\"0.18\", expect_size=\"50448384\"] \n  18 -> 26 [size =\"50448384\"]\n  19 [size=\"86515712\", alpha=\"0.03\", expect_size=\"43257856\"] \n  20 [size=\"65193984\", alpha=\"0.11\", expect_size=\"32596992\"] \n  20 -> 25 [size =\"32596992\"]\n  21 [size=\"102440960\", alpha=\"0.04\", expect_size=\"51220480\"] \n  22 [size=\"81532928\", alpha=\"0.11\", expect_size=\"40766464\"] \n  23 [size=\"19515392\", alpha=\"0.16\", expect_size=\"9757696\"] \n  24 [size=\"88324096\", alpha=\"0.04\", expect_size=\"44162048\"] \n  24 -> 26 [size =\"44162048\"]\n  25 [size=\"45719552\", alpha=\"0.07\", expect_size=\"22859776\"] \n  25 -> 27 [size =\"22859776\"]\n  25 -> 28 [size =\"22859776\"]\n  25 -> 29 [size =\"22859776\"]\n  26 [size=\"93720576\", alpha=\"0.19\", expect_size=\"46860288\"] \n  26 -> 27 [size =\"46860288\"]\n  26 -> 28 [size =\"46860288\"]\n  26 -> 29 [size =\"46860288\"]\n  27 [size=\"55955456\", alpha=\"0.07\", expect_size=\"27977728\"] \n  27 -> 30 [size =\"27977728\"]\n  27 -> 31 [size =\"27977728\"]\n  27 -> 32 [size =\"27977728\"]\n  27 -> 34 [size =\"27977728\"]\n  28 [size=\"56666112\", alpha=\"0.11\", expect_size=\"28333056\"] \n  28 -> 30 [size =\"28333056\"]\n  28 -> 31 [size =\"28333056\"]\n  28 -> 32 [size =\"28333056\"]\n  28 -> 33 [size =\"28333056\"]\n  28 -> 34 [size =\"28333056\"]\n  29 [size=\"47429632\", alpha=\"0.13\", expect_size=\"23714816\"] \n  29 -> 30 [size =\"23714816\"]\n  29 -> 31 [size =\"23714816\"]\n  29 -> 32 [size =\"23714816\"]\n  29 -> 34 [size =\"23714816\"]\n  30 [size=\"60618752\", alpha=\"0.15\", expect_size=\"30309376\"] \n  30 -> 35 [size =\"30309376\"]\n  31 [size=\"17315840\", alpha=\"0.04\", expect_size=\"8657920\"] \n  32 [size=\"37718016\", alpha=\"0.15\", expect_size=\"18859008\"] \n  32 -> 35 [size =\"18859008\"]\n  33 [size=\"89475072\", alpha=\"0.03\", expect_size=\"44737536\"] \n  34 [size=\"69851136\", alpha=\"0.10\", expect_size=\"34925568\"] \n  35 [size=\"86636544\", alpha=\"0.01\", expect_size=\"43318272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17577984\", alpha=\"0.08\", expect_size=\"8788992\"] \n  1 -> 16 [size =\"8788992\"]\n  1 -> 19 [size =\"8788992\"]\n  1 -> 23 [size =\"8788992\"]\n  2 [size=\"61716480\", alpha=\"0.14\", expect_size=\"30858240\"] \n  2 -> 16 [size =\"30858240\"]\n  2 -> 21 [size =\"30858240\"]\n  2 -> 22 [size =\"30858240\"]\n  3 [size=\"58492928\", alpha=\"0.20\", expect_size=\"29246464\"] \n  3 -> 16 [size =\"29246464\"]\n  3 -> 18 [size =\"29246464\"]\n  3 -> 19 [size =\"29246464\"]\n  4 [size=\"52387840\", alpha=\"0.18\", expect_size=\"26193920\"] \n  4 -> 17 [size =\"26193920\"]\n  4 -> 19 [size =\"26193920\"]\n  4 -> 19 [size =\"26193920\"]\n  4 -> 22 [size =\"26193920\"]\n  5 [size=\"50286592\", alpha=\"0.14\", expect_size=\"25143296\"] \n  5 -> 14 [size =\"25143296\"]\n  5 -> 16 [size =\"25143296\"]\n  5 -> 20 [size =\"25143296\"]\n  5 -> 22 [size =\"25143296\"]\n  6 [size=\"32618496\", alpha=\"0.01\", expect_size=\"16309248\"] \n  6 -> 18 [size =\"16309248\"]\n  7 [size=\"56031232\", alpha=\"0.09\", expect_size=\"28015616\"] \n  7 -> 19 [size =\"28015616\"]\n  7 -> 21 [size =\"28015616\"]\n  8 [size=\"73467904\", alpha=\"0.01\", expect_size=\"36733952\"] \n  9 [size=\"17793024\", alpha=\"0.02\", expect_size=\"8896512\"] \n  9 -> 15 [size =\"8896512\"]\n  9 -> 17 [size =\"8896512\"]\n  9 -> 22 [size =\"8896512\"]\n  10 [size=\"13346816\", alpha=\"0.09\", expect_size=\"6673408\"] \n  10 -> 17 [size =\"6673408\"]\n  11 [size=\"93403136\", alpha=\"0.05\", expect_size=\"46701568\"] \n  11 -> 15 [size =\"46701568\"]\n  11 -> 17 [size =\"46701568\"]\n  12 [size=\"36790272\", alpha=\"0.14\", expect_size=\"18395136\"] \n  12 -> 16 [size =\"18395136\"]\n  12 -> 17 [size =\"18395136\"]\n  12 -> 19 [size =\"18395136\"]\n  12 -> 21 [size =\"18395136\"]\n  13 [size=\"103892992\", alpha=\"0.07\", expect_size=\"51946496\"] \n  13 -> 16 [size =\"51946496\"]\n  13 -> 18 [size =\"51946496\"]\n  13 -> 21 [size =\"51946496\"]\n  14 [size=\"103434240\", alpha=\"0.19\", expect_size=\"51717120\"] \n  14 -> 26 [size =\"51717120\"]\n  14 -> 34 [size =\"51717120\"]\n  15 [size=\"92274688\", alpha=\"0.05\", expect_size=\"46137344\"] \n  15 -> 25 [size =\"46137344\"]\n  16 [size=\"66150400\", alpha=\"0.19\", expect_size=\"33075200\"] \n  16 -> 29 [size =\"33075200\"]\n  16 -> 32 [size =\"33075200\"]\n  17 [size=\"72802304\", alpha=\"0.08\", expect_size=\"36401152\"] \n  17 -> 28 [size =\"36401152\"]\n  17 -> 29 [size =\"36401152\"]\n  17 -> 31 [size =\"36401152\"]\n  17 -> 34 [size =\"36401152\"]\n  18 [size=\"22165504\", alpha=\"0.05\", expect_size=\"11082752\"] \n  18 -> 28 [size =\"11082752\"]\n  18 -> 29 [size =\"11082752\"]\n  18 -> 30 [size =\"11082752\"]\n  18 -> 31 [size =\"11082752\"]\n  18 -> 33 [size =\"11082752\"]\n  19 [size=\"27979776\", alpha=\"0.11\", expect_size=\"13989888\"] \n  19 -> 27 [size =\"13989888\"]\n  19 -> 28 [size =\"13989888\"]\n  19 -> 29 [size =\"13989888\"]\n  19 -> 31 [size =\"13989888\"]\n  19 -> 32 [size =\"13989888\"]\n  19 -> 34 [size =\"13989888\"]\n  20 [size=\"36970496\", alpha=\"0.18\", expect_size=\"18485248\"] \n  20 -> 28 [size =\"18485248\"]\n  20 -> 28 [size =\"18485248\"]\n  20 -> 34 [size =\"18485248\"]\n  21 [size=\"78690304\", alpha=\"0.07\", expect_size=\"39345152\"] \n  21 -> 29 [size =\"39345152\"]\n  22 [size=\"100472832\", alpha=\"0.07\", expect_size=\"50236416\"] \n  22 -> 26 [size =\"50236416\"]\n  22 -> 27 [size =\"50236416\"]\n  22 -> 30 [size =\"50236416\"]\n  22 -> 33 [size =\"50236416\"]\n  23 [size=\"71786496\", alpha=\"0.16\", expect_size=\"35893248\"] \n  23 -> 24 [size =\"35893248\"]\n  23 -> 27 [size =\"35893248\"]\n  23 -> 30 [size =\"35893248\"]\n  24 [size=\"103364608\", alpha=\"0.15\", expect_size=\"51682304\"] \n  25 [size=\"98990080\", alpha=\"0.02\", expect_size=\"49495040\"] \n  26 [size=\"29298688\", alpha=\"0.14\", expect_size=\"14649344\"] \n  27 [size=\"24842240\", alpha=\"0.15\", expect_size=\"12421120\"] \n  27 -> 35 [size =\"12421120\"]\n  28 [size=\"63385600\", alpha=\"0.10\", expect_size=\"31692800\"] \n  29 [size=\"85897216\", alpha=\"0.07\", expect_size=\"42948608\"] \n  30 [size=\"43917312\", alpha=\"0.04\", expect_size=\"21958656\"] \n  30 -> 35 [size =\"21958656\"]\n  31 [size=\"36143104\", alpha=\"0.18\", expect_size=\"18071552\"] \n  32 [size=\"69670912\", alpha=\"0.18\", expect_size=\"34835456\"] \n  33 [size=\"101357568\", alpha=\"0.18\", expect_size=\"50678784\"] \n  34 [size=\"84840448\", alpha=\"0.18\", expect_size=\"42420224\"] \n  35 [size=\"62025728\", alpha=\"0.15\", expect_size=\"31012864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106654720\", alpha=\"0.06\", expect_size=\"42661888\"] \n  1 -> 23 [size =\"42661888\"]\n  1 -> 25 [size =\"42661888\"]\n  1 -> 27 [size =\"42661888\"]\n  1 -> 28 [size =\"42661888\"]\n  1 -> 30 [size =\"42661888\"]\n  1 -> 31 [size =\"42661888\"]\n  2 [size=\"76500480\", alpha=\"0.04\", expect_size=\"30600192\"] \n  2 -> 23 [size =\"30600192\"]\n  2 -> 25 [size =\"30600192\"]\n  2 -> 27 [size =\"30600192\"]\n  2 -> 31 [size =\"30600192\"]\n  2 -> 32 [size =\"30600192\"]\n  2 -> 34 [size =\"30600192\"]\n  3 [size=\"124024320\", alpha=\"0.08\", expect_size=\"49609728\"] \n  3 -> 23 [size =\"49609728\"]\n  3 -> 25 [size =\"49609728\"]\n  3 -> 31 [size =\"49609728\"]\n  4 [size=\"81666560\", alpha=\"0.03\", expect_size=\"32666624\"] \n  4 -> 25 [size =\"32666624\"]\n  4 -> 26 [size =\"32666624\"]\n  4 -> 27 [size =\"32666624\"]\n  5 [size=\"46059520\", alpha=\"0.05\", expect_size=\"18423808\"] \n  5 -> 32 [size =\"18423808\"]\n  5 -> 34 [size =\"18423808\"]\n  5 -> 35 [size =\"18423808\"]\n  6 [size=\"75059200\", alpha=\"0.13\", expect_size=\"30023680\"] \n  6 -> 23 [size =\"30023680\"]\n  6 -> 25 [size =\"30023680\"]\n  6 -> 28 [size =\"30023680\"]\n  6 -> 32 [size =\"30023680\"]\n  6 -> 33 [size =\"30023680\"]\n  6 -> 34 [size =\"30023680\"]\n  7 [size=\"20897280\", alpha=\"0.07\", expect_size=\"8358912\"] \n  7 -> 23 [size =\"8358912\"]\n  7 -> 27 [size =\"8358912\"]\n  7 -> 30 [size =\"8358912\"]\n  7 -> 31 [size =\"8358912\"]\n  7 -> 32 [size =\"8358912\"]\n  7 -> 34 [size =\"8358912\"]\n  8 [size=\"106086400\", alpha=\"0.01\", expect_size=\"42434560\"] \n  8 -> 25 [size =\"42434560\"]\n  8 -> 26 [size =\"42434560\"]\n  8 -> 32 [size =\"42434560\"]\n  9 [size=\"15324160\", alpha=\"0.12\", expect_size=\"6129664\"] \n  9 -> 24 [size =\"6129664\"]\n  9 -> 25 [size =\"6129664\"]\n  9 -> 27 [size =\"6129664\"]\n  9 -> 28 [size =\"6129664\"]\n  9 -> 30 [size =\"6129664\"]\n  9 -> 32 [size =\"6129664\"]\n  10 [size=\"92638720\", alpha=\"0.16\", expect_size=\"37055488\"] \n  10 -> 23 [size =\"37055488\"]\n  10 -> 25 [size =\"37055488\"]\n  10 -> 27 [size =\"37055488\"]\n  10 -> 28 [size =\"37055488\"]\n  10 -> 30 [size =\"37055488\"]\n  10 -> 34 [size =\"37055488\"]\n  11 [size=\"108979200\", alpha=\"0.16\", expect_size=\"43591680\"] \n  11 -> 27 [size =\"43591680\"]\n  11 -> 28 [size =\"43591680\"]\n  11 -> 30 [size =\"43591680\"]\n  11 -> 34 [size =\"43591680\"]\n  12 [size=\"25963520\", alpha=\"0.13\", expect_size=\"10385408\"] \n  12 -> 25 [size =\"10385408\"]\n  12 -> 28 [size =\"10385408\"]\n  12 -> 34 [size =\"10385408\"]\n  13 [size=\"51043840\", alpha=\"0.12\", expect_size=\"20417536\"] \n  13 -> 23 [size =\"20417536\"]\n  13 -> 27 [size =\"20417536\"]\n  13 -> 29 [size =\"20417536\"]\n  13 -> 30 [size =\"20417536\"]\n  13 -> 33 [size =\"20417536\"]\n  14 [size=\"98808320\", alpha=\"0.02\", expect_size=\"39523328\"] \n  14 -> 27 [size =\"39523328\"]\n  14 -> 30 [size =\"39523328\"]\n  15 [size=\"118909440\", alpha=\"0.08\", expect_size=\"47563776\"] \n  15 -> 30 [size =\"47563776\"]\n  15 -> 34 [size =\"47563776\"]\n  16 [size=\"30709760\", alpha=\"0.09\", expect_size=\"12283904\"] \n  16 -> 26 [size =\"12283904\"]\n  16 -> 30 [size =\"12283904\"]\n  16 -> 31 [size =\"12283904\"]\n  17 [size=\"106949120\", alpha=\"0.07\", expect_size=\"42779648\"] \n  17 -> 27 [size =\"42779648\"]\n  17 -> 29 [size =\"42779648\"]\n  17 -> 30 [size =\"42779648\"]\n  17 -> 31 [size =\"42779648\"]\n  18 [size=\"32563200\", alpha=\"0.04\", expect_size=\"13025280\"] \n  18 -> 27 [size =\"13025280\"]\n  18 -> 28 [size =\"13025280\"]\n  18 -> 30 [size =\"13025280\"]\n  19 [size=\"38935040\", alpha=\"0.20\", expect_size=\"15574016\"] \n  19 -> 26 [size =\"15574016\"]\n  19 -> 27 [size =\"15574016\"]\n  19 -> 28 [size =\"15574016\"]\n  19 -> 30 [size =\"15574016\"]\n  20 [size=\"109437440\", alpha=\"0.09\", expect_size=\"43774976\"] \n  20 -> 25 [size =\"43774976\"]\n  20 -> 27 [size =\"43774976\"]\n  20 -> 30 [size =\"43774976\"]\n  21 [size=\"86085120\", alpha=\"0.14\", expect_size=\"34434048\"] \n  21 -> 27 [size =\"34434048\"]\n  21 -> 27 [size =\"34434048\"]\n  21 -> 30 [size =\"34434048\"]\n  22 [size=\"60866560\", alpha=\"0.10\", expect_size=\"24346624\"] \n  22 -> 24 [size =\"24346624\"]\n  22 -> 27 [size =\"24346624\"]\n  22 -> 30 [size =\"24346624\"]\n  22 -> 31 [size =\"24346624\"]\n  22 -> 33 [size =\"24346624\"]\n  23 [size=\"22318080\", alpha=\"0.05\", expect_size=\"8927232\"] \n  24 [size=\"95185920\", alpha=\"0.12\", expect_size=\"38074368\"] \n  25 [size=\"104555520\", alpha=\"0.04\", expect_size=\"41822208\"] \n  26 [size=\"35258880\", alpha=\"0.07\", expect_size=\"14103552\"] \n  27 [size=\"87685120\", alpha=\"0.11\", expect_size=\"35074048\"] \n  28 [size=\"130173440\", alpha=\"0.10\", expect_size=\"52069376\"] \n  29 [size=\"35596800\", alpha=\"0.10\", expect_size=\"14238720\"] \n  30 [size=\"32890880\", alpha=\"0.04\", expect_size=\"13156352\"] \n  31 [size=\"86126080\", alpha=\"0.14\", expect_size=\"34450432\"] \n  32 [size=\"52920320\", alpha=\"0.06\", expect_size=\"21168128\"] \n  33 [size=\"114631680\", alpha=\"0.04\", expect_size=\"45852672\"] \n  34 [size=\"28285440\", alpha=\"0.17\", expect_size=\"11314176\"] \n  35 [size=\"98370560\", alpha=\"0.08\", expect_size=\"39348224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27934720\", alpha=\"0.20\", expect_size=\"11173888\"] \n  1 -> 13 [size =\"11173888\"]\n  1 -> 14 [size =\"11173888\"]\n  1 -> 19 [size =\"11173888\"]\n  1 -> 21 [size =\"11173888\"]\n  1 -> 24 [size =\"11173888\"]\n  1 -> 25 [size =\"11173888\"]\n  1 -> 27 [size =\"11173888\"]\n  2 [size=\"26150400\", alpha=\"0.11\", expect_size=\"10460160\"] \n  2 -> 13 [size =\"10460160\"]\n  2 -> 14 [size =\"10460160\"]\n  2 -> 19 [size =\"10460160\"]\n  2 -> 20 [size =\"10460160\"]\n  2 -> 21 [size =\"10460160\"]\n  2 -> 24 [size =\"10460160\"]\n  2 -> 25 [size =\"10460160\"]\n  2 -> 28 [size =\"10460160\"]\n  3 [size=\"26736640\", alpha=\"0.08\", expect_size=\"10694656\"] \n  3 -> 14 [size =\"10694656\"]\n  3 -> 18 [size =\"10694656\"]\n  3 -> 21 [size =\"10694656\"]\n  3 -> 24 [size =\"10694656\"]\n  3 -> 28 [size =\"10694656\"]\n  4 [size=\"103511040\", alpha=\"0.15\", expect_size=\"41404416\"] \n  4 -> 14 [size =\"41404416\"]\n  4 -> 17 [size =\"41404416\"]\n  4 -> 19 [size =\"41404416\"]\n  4 -> 21 [size =\"41404416\"]\n  4 -> 24 [size =\"41404416\"]\n  4 -> 25 [size =\"41404416\"]\n  4 -> 26 [size =\"41404416\"]\n  4 -> 27 [size =\"41404416\"]\n  4 -> 28 [size =\"41404416\"]\n  5 [size=\"102131200\", alpha=\"0.11\", expect_size=\"40852480\"] \n  5 -> 14 [size =\"40852480\"]\n  5 -> 15 [size =\"40852480\"]\n  5 -> 16 [size =\"40852480\"]\n  5 -> 18 [size =\"40852480\"]\n  5 -> 19 [size =\"40852480\"]\n  5 -> 23 [size =\"40852480\"]\n  5 -> 24 [size =\"40852480\"]\n  5 -> 25 [size =\"40852480\"]\n  5 -> 26 [size =\"40852480\"]\n  5 -> 28 [size =\"40852480\"]\n  6 [size=\"121748480\", alpha=\"0.04\", expect_size=\"48699392\"] \n  6 -> 13 [size =\"48699392\"]\n  6 -> 14 [size =\"48699392\"]\n  6 -> 15 [size =\"48699392\"]\n  6 -> 16 [size =\"48699392\"]\n  6 -> 19 [size =\"48699392\"]\n  6 -> 21 [size =\"48699392\"]\n  6 -> 22 [size =\"48699392\"]\n  6 -> 24 [size =\"48699392\"]\n  6 -> 25 [size =\"48699392\"]\n  6 -> 26 [size =\"48699392\"]\n  6 -> 27 [size =\"48699392\"]\n  7 [size=\"16332800\", alpha=\"0.01\", expect_size=\"6533120\"] \n  7 -> 12 [size =\"6533120\"]\n  7 -> 14 [size =\"6533120\"]\n  7 -> 24 [size =\"6533120\"]\n  7 -> 25 [size =\"6533120\"]\n  8 [size=\"48591360\", alpha=\"0.19\", expect_size=\"19436544\"] \n  8 -> 12 [size =\"19436544\"]\n  8 -> 14 [size =\"19436544\"]\n  8 -> 18 [size =\"19436544\"]\n  8 -> 19 [size =\"19436544\"]\n  8 -> 21 [size =\"19436544\"]\n  8 -> 25 [size =\"19436544\"]\n  8 -> 27 [size =\"19436544\"]\n  9 [size=\"92597760\", alpha=\"0.06\", expect_size=\"37039104\"] \n  9 -> 12 [size =\"37039104\"]\n  9 -> 17 [size =\"37039104\"]\n  9 -> 18 [size =\"37039104\"]\n  9 -> 21 [size =\"37039104\"]\n  9 -> 21 [size =\"37039104\"]\n  9 -> 24 [size =\"37039104\"]\n  9 -> 25 [size =\"37039104\"]\n  9 -> 27 [size =\"37039104\"]\n  9 -> 28 [size =\"37039104\"]\n  10 [size=\"37977600\", alpha=\"0.05\", expect_size=\"15191040\"] \n  10 -> 21 [size =\"15191040\"]\n  10 -> 23 [size =\"15191040\"]\n  10 -> 25 [size =\"15191040\"]\n  10 -> 26 [size =\"15191040\"]\n  10 -> 27 [size =\"15191040\"]\n  10 -> 28 [size =\"15191040\"]\n  11 [size=\"26045440\", alpha=\"0.09\", expect_size=\"10418176\"] \n  11 -> 13 [size =\"10418176\"]\n  11 -> 14 [size =\"10418176\"]\n  11 -> 16 [size =\"10418176\"]\n  11 -> 21 [size =\"10418176\"]\n  11 -> 25 [size =\"10418176\"]\n  12 [size=\"23646720\", alpha=\"0.15\", expect_size=\"9458688\"] \n  12 -> 30 [size =\"9458688\"]\n  12 -> 30 [size =\"9458688\"]\n  12 -> 33 [size =\"9458688\"]\n  12 -> 34 [size =\"9458688\"]\n  12 -> 35 [size =\"9458688\"]\n  13 [size=\"88762880\", alpha=\"0.03\", expect_size=\"35505152\"] \n  13 -> 30 [size =\"35505152\"]\n  14 [size=\"18680320\", alpha=\"0.09\", expect_size=\"7472128\"] \n  14 -> 29 [size =\"7472128\"]\n  14 -> 30 [size =\"7472128\"]\n  14 -> 31 [size =\"7472128\"]\n  14 -> 35 [size =\"7472128\"]\n  15 [size=\"108764160\", alpha=\"0.01\", expect_size=\"43505664\"] \n  15 -> 30 [size =\"43505664\"]\n  15 -> 30 [size =\"43505664\"]\n  15 -> 35 [size =\"43505664\"]\n  15 -> 35 [size =\"43505664\"]\n  16 [size=\"56284160\", alpha=\"0.01\", expect_size=\"22513664\"] \n  16 -> 30 [size =\"22513664\"]\n  16 -> 31 [size =\"22513664\"]\n  16 -> 33 [size =\"22513664\"]\n  16 -> 34 [size =\"22513664\"]\n  17 [size=\"81351680\", alpha=\"0.06\", expect_size=\"32540672\"] \n  17 -> 29 [size =\"32540672\"]\n  17 -> 30 [size =\"32540672\"]\n  17 -> 35 [size =\"32540672\"]\n  18 [size=\"85201920\", alpha=\"0.07\", expect_size=\"34080768\"] \n  18 -> 30 [size =\"34080768\"]\n  18 -> 30 [size =\"34080768\"]\n  18 -> 31 [size =\"34080768\"]\n  18 -> 35 [size =\"34080768\"]\n  19 [size=\"78254080\", alpha=\"0.02\", expect_size=\"31301632\"] \n  19 -> 30 [size =\"31301632\"]\n  19 -> 33 [size =\"31301632\"]\n  19 -> 35 [size =\"31301632\"]\n  20 [size=\"114275840\", alpha=\"0.07\", expect_size=\"45710336\"] \n  20 -> 33 [size =\"45710336\"]\n  20 -> 35 [size =\"45710336\"]\n  21 [size=\"28275200\", alpha=\"0.13\", expect_size=\"11310080\"] \n  22 [size=\"79759360\", alpha=\"0.02\", expect_size=\"31903744\"] \n  22 -> 31 [size =\"31903744\"]\n  22 -> 33 [size =\"31903744\"]\n  23 [size=\"49152000\", alpha=\"0.14\", expect_size=\"19660800\"] \n  23 -> 30 [size =\"19660800\"]\n  23 -> 31 [size =\"19660800\"]\n  23 -> 32 [size =\"19660800\"]\n  24 [size=\"68756480\", alpha=\"0.00\", expect_size=\"27502592\"] \n  24 -> 33 [size =\"27502592\"]\n  24 -> 35 [size =\"27502592\"]\n  25 [size=\"120944640\", alpha=\"0.02\", expect_size=\"48377856\"] \n  25 -> 33 [size =\"48377856\"]\n  26 [size=\"128102400\", alpha=\"0.02\", expect_size=\"51240960\"] \n  27 [size=\"14159360\", alpha=\"0.03\", expect_size=\"5663744\"] \n  27 -> 29 [size =\"5663744\"]\n  28 [size=\"51120640\", alpha=\"0.09\", expect_size=\"20448256\"] \n  28 -> 29 [size =\"20448256\"]\n  28 -> 30 [size =\"20448256\"]\n  28 -> 32 [size =\"20448256\"]\n  29 [size=\"90170880\", alpha=\"0.09\", expect_size=\"36068352\"] \n  30 [size=\"104307200\", alpha=\"0.14\", expect_size=\"41722880\"] \n  31 [size=\"25379840\", alpha=\"0.00\", expect_size=\"10151936\"] \n  32 [size=\"104148480\", alpha=\"0.09\", expect_size=\"41659392\"] \n  33 [size=\"117726720\", alpha=\"0.10\", expect_size=\"47090688\"] \n  34 [size=\"79744000\", alpha=\"0.12\", expect_size=\"31897600\"] \n  35 [size=\"80606720\", alpha=\"0.10\", expect_size=\"32242688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24347307\", alpha=\"0.18\", expect_size=\"7304192\"] \n  1 -> 3 [size =\"7304192\"]\n  2 [size=\"83111253\", alpha=\"0.04\", expect_size=\"24933376\"] \n  3 [size=\"82926933\", alpha=\"0.04\", expect_size=\"24878080\"] \n  3 -> 4 [size =\"24878080\"]\n  3 -> 5 [size =\"24878080\"]\n  4 [size=\"148189867\", alpha=\"0.12\", expect_size=\"44456960\"] \n  4 -> 6 [size =\"44456960\"]\n  4 -> 7 [size =\"44456960\"]\n  5 [size=\"172629333\", alpha=\"0.01\", expect_size=\"51788800\"] \n  5 -> 6 [size =\"51788800\"]\n  5 -> 7 [size =\"51788800\"]\n  6 [size=\"128689493\", alpha=\"0.08\", expect_size=\"38606848\"] \n  7 [size=\"165823147\", alpha=\"0.18\", expect_size=\"49746944\"] \n  7 -> 8 [size =\"49746944\"]\n  8 [size=\"98324480\", alpha=\"0.13\", expect_size=\"29497344\"] \n  8 -> 9 [size =\"29497344\"]\n  9 [size=\"152125440\", alpha=\"0.17\", expect_size=\"45637632\"] \n  9 -> 10 [size =\"45637632\"]\n  10 [size=\"35246080\", alpha=\"0.06\", expect_size=\"10573824\"] \n  10 -> 11 [size =\"10573824\"]\n  11 [size=\"88620373\", alpha=\"0.15\", expect_size=\"26586112\"] \n  11 -> 12 [size =\"26586112\"]\n  12 [size=\"74127360\", alpha=\"0.17\", expect_size=\"22238208\"] \n  12 -> 13 [size =\"22238208\"]\n  13 [size=\"104799573\", alpha=\"0.14\", expect_size=\"31439872\"] \n  13 -> 14 [size =\"31439872\"]\n  14 [size=\"139895467\", alpha=\"0.17\", expect_size=\"41968640\"] \n  14 -> 15 [size =\"41968640\"]\n  14 -> 16 [size =\"41968640\"]\n  15 [size=\"78701227\", alpha=\"0.07\", expect_size=\"23610368\"] \n  15 -> 17 [size =\"23610368\"]\n  16 [size=\"86254933\", alpha=\"0.17\", expect_size=\"25876480\"] \n  17 [size=\"152156160\", alpha=\"0.10\", expect_size=\"45646848\"] \n  17 -> 18 [size =\"45646848\"]\n  18 [size=\"134867627\", alpha=\"0.10\", expect_size=\"40460288\"] \n  18 -> 19 [size =\"40460288\"]\n  19 [size=\"83739307\", alpha=\"0.02\", expect_size=\"25121792\"] \n  19 -> 20 [size =\"25121792\"]\n  20 [size=\"59412480\", alpha=\"0.09\", expect_size=\"17823744\"] \n  20 -> 21 [size =\"17823744\"]\n  21 [size=\"107315200\", alpha=\"0.16\", expect_size=\"32194560\"] \n  21 -> 22 [size =\"32194560\"]\n  21 -> 23 [size =\"32194560\"]\n  22 [size=\"69259947\", alpha=\"0.12\", expect_size=\"20777984\"] \n  23 [size=\"45148160\", alpha=\"0.17\", expect_size=\"13544448\"] \n  23 -> 24 [size =\"13544448\"]\n  24 [size=\"154702507\", alpha=\"0.17\", expect_size=\"46410752\"] \n  24 -> 25 [size =\"46410752\"]\n  24 -> 26 [size =\"46410752\"]\n  25 [size=\"134765227\", alpha=\"0.18\", expect_size=\"40429568\"] \n  25 -> 27 [size =\"40429568\"]\n  26 [size=\"29064533\", alpha=\"0.13\", expect_size=\"8719360\"] \n  27 [size=\"161710080\", alpha=\"0.07\", expect_size=\"48513024\"] \n  27 -> 28 [size =\"48513024\"]\n  27 -> 29 [size =\"48513024\"]\n  28 [size=\"86620160\", alpha=\"0.11\", expect_size=\"25986048\"] \n  28 -> 30 [size =\"25986048\"]\n  29 [size=\"164812800\", alpha=\"0.12\", expect_size=\"49443840\"] \n  29 -> 30 [size =\"49443840\"]\n  30 [size=\"22152533\", alpha=\"0.15\", expect_size=\"6645760\"] \n  30 -> 31 [size =\"6645760\"]\n  31 [size=\"89989120\", alpha=\"0.07\", expect_size=\"26996736\"] \n  31 -> 32 [size =\"26996736\"]\n  31 -> 33 [size =\"26996736\"]\n  32 [size=\"60624213\", alpha=\"0.07\", expect_size=\"18187264\"] \n  33 [size=\"156982613\", alpha=\"0.18\", expect_size=\"47094784\"] \n  33 -> 34 [size =\"47094784\"]\n  34 [size=\"129945600\", alpha=\"0.04\", expect_size=\"38983680\"] \n  34 -> 35 [size =\"38983680\"]\n  35 [size=\"110223360\", alpha=\"0.18\", expect_size=\"33067008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60040533\", alpha=\"0.09\", expect_size=\"18012160\"] \n  1 -> 5 [size =\"18012160\"]\n  1 -> 7 [size =\"18012160\"]\n  1 -> 9 [size =\"18012160\"]\n  2 [size=\"25258667\", alpha=\"0.10\", expect_size=\"7577600\"] \n  2 -> 5 [size =\"7577600\"]\n  2 -> 6 [size =\"7577600\"]\n  2 -> 7 [size =\"7577600\"]\n  3 [size=\"131560107\", alpha=\"0.07\", expect_size=\"39468032\"] \n  3 -> 5 [size =\"39468032\"]\n  3 -> 6 [size =\"39468032\"]\n  3 -> 7 [size =\"39468032\"]\n  3 -> 8 [size =\"39468032\"]\n  4 [size=\"112885760\", alpha=\"0.12\", expect_size=\"33865728\"] \n  4 -> 8 [size =\"33865728\"]\n  5 [size=\"95406080\", alpha=\"0.02\", expect_size=\"28621824\"] \n  5 -> 10 [size =\"28621824\"]\n  5 -> 11 [size =\"28621824\"]\n  5 -> 12 [size =\"28621824\"]\n  6 [size=\"97641813\", alpha=\"0.19\", expect_size=\"29292544\"] \n  6 -> 10 [size =\"29292544\"]\n  6 -> 12 [size =\"29292544\"]\n  7 [size=\"60211200\", alpha=\"0.13\", expect_size=\"18063360\"] \n  7 -> 10 [size =\"18063360\"]\n  7 -> 11 [size =\"18063360\"]\n  7 -> 12 [size =\"18063360\"]\n  8 [size=\"25531733\", alpha=\"0.00\", expect_size=\"7659520\"] \n  9 [size=\"122552320\", alpha=\"0.18\", expect_size=\"36765696\"] \n  9 -> 10 [size =\"36765696\"]\n  9 -> 12 [size =\"36765696\"]\n  9 -> 13 [size =\"36765696\"]\n  10 [size=\"106919253\", alpha=\"0.10\", expect_size=\"32075776\"] \n  10 -> 15 [size =\"32075776\"]\n  10 -> 16 [size =\"32075776\"]\n  11 [size=\"25647787\", alpha=\"0.19\", expect_size=\"7694336\"] \n  11 -> 14 [size =\"7694336\"]\n  11 -> 15 [size =\"7694336\"]\n  11 -> 16 [size =\"7694336\"]\n  11 -> 17 [size =\"7694336\"]\n  12 [size=\"98433707\", alpha=\"0.16\", expect_size=\"29530112\"] \n  12 -> 14 [size =\"29530112\"]\n  12 -> 16 [size =\"29530112\"]\n  12 -> 18 [size =\"29530112\"]\n  13 [size=\"174373547\", alpha=\"0.18\", expect_size=\"52312064\"] \n  13 -> 14 [size =\"52312064\"]\n  13 -> 15 [size =\"52312064\"]\n  14 [size=\"71280640\", alpha=\"0.12\", expect_size=\"21384192\"] \n  14 -> 21 [size =\"21384192\"]\n  15 [size=\"168963413\", alpha=\"0.07\", expect_size=\"50689024\"] \n  15 -> 19 [size =\"50689024\"]\n  15 -> 20 [size =\"50689024\"]\n  16 [size=\"26040320\", alpha=\"0.01\", expect_size=\"7812096\"] \n  16 -> 19 [size =\"7812096\"]\n  16 -> 21 [size =\"7812096\"]\n  16 -> 23 [size =\"7812096\"]\n  17 [size=\"173322240\", alpha=\"0.00\", expect_size=\"51996672\"] \n  17 -> 23 [size =\"51996672\"]\n  18 [size=\"120005973\", alpha=\"0.14\", expect_size=\"36001792\"] \n  18 -> 20 [size =\"36001792\"]\n  18 -> 22 [size =\"36001792\"]\n  19 [size=\"122746880\", alpha=\"0.09\", expect_size=\"36824064\"] \n  19 -> 24 [size =\"36824064\"]\n  19 -> 26 [size =\"36824064\"]\n  20 [size=\"110817280\", alpha=\"0.12\", expect_size=\"33245184\"] \n  21 [size=\"28921173\", alpha=\"0.20\", expect_size=\"8676352\"] \n  22 [size=\"18530987\", alpha=\"0.09\", expect_size=\"5559296\"] \n  22 -> 25 [size =\"5559296\"]\n  22 -> 27 [size =\"5559296\"]\n  23 [size=\"145261227\", alpha=\"0.13\", expect_size=\"43578368\"] \n  23 -> 26 [size =\"43578368\"]\n  24 [size=\"129331200\", alpha=\"0.09\", expect_size=\"38799360\"] \n  24 -> 28 [size =\"38799360\"]\n  24 -> 29 [size =\"38799360\"]\n  24 -> 32 [size =\"38799360\"]\n  25 [size=\"65163947\", alpha=\"0.14\", expect_size=\"19549184\"] \n  25 -> 28 [size =\"19549184\"]\n  25 -> 30 [size =\"19549184\"]\n  25 -> 31 [size =\"19549184\"]\n  25 -> 32 [size =\"19549184\"]\n  26 [size=\"117879467\", alpha=\"0.10\", expect_size=\"35363840\"] \n  26 -> 29 [size =\"35363840\"]\n  26 -> 30 [size =\"35363840\"]\n  26 -> 31 [size =\"35363840\"]\n  26 -> 32 [size =\"35363840\"]\n  27 [size=\"126115840\", alpha=\"0.11\", expect_size=\"37834752\"] \n  27 -> 28 [size =\"37834752\"]\n  27 -> 29 [size =\"37834752\"]\n  27 -> 31 [size =\"37834752\"]\n  28 [size=\"126900907\", alpha=\"0.14\", expect_size=\"38070272\"] \n  28 -> 33 [size =\"38070272\"]\n  28 -> 34 [size =\"38070272\"]\n  28 -> 35 [size =\"38070272\"]\n  29 [size=\"75793067\", alpha=\"0.10\", expect_size=\"22737920\"] \n  29 -> 35 [size =\"22737920\"]\n  30 [size=\"146940587\", alpha=\"0.17\", expect_size=\"44082176\"] \n  30 -> 35 [size =\"44082176\"]\n  31 [size=\"82432000\", alpha=\"0.05\", expect_size=\"24729600\"] \n  31 -> 34 [size =\"24729600\"]\n  32 [size=\"82117973\", alpha=\"0.03\", expect_size=\"24635392\"] \n  32 -> 33 [size =\"24635392\"]\n  32 -> 35 [size =\"24635392\"]\n  33 [size=\"153780907\", alpha=\"0.02\", expect_size=\"46134272\"] \n  34 [size=\"96931840\", alpha=\"0.07\", expect_size=\"29079552\"] \n  35 [size=\"164273493\", alpha=\"0.11\", expect_size=\"49282048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77905920\", alpha=\"0.10\", expect_size=\"23371776\"] \n  2 [size=\"76718080\", alpha=\"0.02\", expect_size=\"23015424\"] \n  2 -> 6 [size =\"23015424\"]\n  2 -> 7 [size =\"23015424\"]\n  2 -> 10 [size =\"23015424\"]\n  2 -> 12 [size =\"23015424\"]\n  3 [size=\"129597440\", alpha=\"0.14\", expect_size=\"38879232\"] \n  3 -> 6 [size =\"38879232\"]\n  3 -> 7 [size =\"38879232\"]\n  3 -> 9 [size =\"38879232\"]\n  3 -> 10 [size =\"38879232\"]\n  3 -> 12 [size =\"38879232\"]\n  4 [size=\"39574187\", alpha=\"0.19\", expect_size=\"11872256\"] \n  4 -> 7 [size =\"11872256\"]\n  4 -> 10 [size =\"11872256\"]\n  4 -> 12 [size =\"11872256\"]\n  5 [size=\"40560640\", alpha=\"0.10\", expect_size=\"12168192\"] \n  5 -> 8 [size =\"12168192\"]\n  5 -> 11 [size =\"12168192\"]\n  6 [size=\"136990720\", alpha=\"0.18\", expect_size=\"41097216\"] \n  6 -> 14 [size =\"41097216\"]\n  6 -> 16 [size =\"41097216\"]\n  6 -> 18 [size =\"41097216\"]\n  7 [size=\"127679147\", alpha=\"0.07\", expect_size=\"38303744\"] \n  7 -> 15 [size =\"38303744\"]\n  8 [size=\"47349760\", alpha=\"0.18\", expect_size=\"14204928\"] \n  8 -> 13 [size =\"14204928\"]\n  8 -> 15 [size =\"14204928\"]\n  8 -> 16 [size =\"14204928\"]\n  8 -> 17 [size =\"14204928\"]\n  9 [size=\"38642347\", alpha=\"0.19\", expect_size=\"11592704\"] \n  9 -> 15 [size =\"11592704\"]\n  10 [size=\"159812267\", alpha=\"0.05\", expect_size=\"47943680\"] \n  10 -> 13 [size =\"47943680\"]\n  10 -> 15 [size =\"47943680\"]\n  10 -> 16 [size =\"47943680\"]\n  11 [size=\"171612160\", alpha=\"0.07\", expect_size=\"51483648\"] \n  11 -> 14 [size =\"51483648\"]\n  11 -> 16 [size =\"51483648\"]\n  12 [size=\"90340693\", alpha=\"0.01\", expect_size=\"27102208\"] \n  12 -> 14 [size =\"27102208\"]\n  12 -> 15 [size =\"27102208\"]\n  13 [size=\"104140800\", alpha=\"0.11\", expect_size=\"31242240\"] \n  14 [size=\"58350933\", alpha=\"0.12\", expect_size=\"17505280\"] \n  14 -> 19 [size =\"17505280\"]\n  15 [size=\"49759573\", alpha=\"0.19\", expect_size=\"14927872\"] \n  16 [size=\"127931733\", alpha=\"0.13\", expect_size=\"38379520\"] \n  16 -> 19 [size =\"38379520\"]\n  16 -> 20 [size =\"38379520\"]\n  17 [size=\"111298560\", alpha=\"0.20\", expect_size=\"33389568\"] \n  18 [size=\"165457920\", alpha=\"0.08\", expect_size=\"49637376\"] \n  19 [size=\"152279040\", alpha=\"0.10\", expect_size=\"45683712\"] \n  19 -> 22 [size =\"45683712\"]\n  19 -> 24 [size =\"45683712\"]\n  19 -> 25 [size =\"45683712\"]\n  20 [size=\"146240853\", alpha=\"0.19\", expect_size=\"43872256\"] \n  20 -> 21 [size =\"43872256\"]\n  20 -> 22 [size =\"43872256\"]\n  20 -> 23 [size =\"43872256\"]\n  20 -> 26 [size =\"43872256\"]\n  21 [size=\"26241707\", alpha=\"0.15\", expect_size=\"7872512\"] \n  21 -> 27 [size =\"7872512\"]\n  22 [size=\"82718720\", alpha=\"0.18\", expect_size=\"24815616\"] \n  22 -> 28 [size =\"24815616\"]\n  22 -> 30 [size =\"24815616\"]\n  23 [size=\"87647573\", alpha=\"0.16\", expect_size=\"26294272\"] \n  23 -> 29 [size =\"26294272\"]\n  23 -> 30 [size =\"26294272\"]\n  24 [size=\"172803413\", alpha=\"0.17\", expect_size=\"51841024\"] \n  24 -> 27 [size =\"51841024\"]\n  25 [size=\"112885760\", alpha=\"0.00\", expect_size=\"33865728\"] \n  25 -> 27 [size =\"33865728\"]\n  25 -> 28 [size =\"33865728\"]\n  25 -> 29 [size =\"33865728\"]\n  26 [size=\"107980800\", alpha=\"0.19\", expect_size=\"32394240\"] \n  26 -> 27 [size =\"32394240\"]\n  26 -> 29 [size =\"32394240\"]\n  27 [size=\"51954347\", alpha=\"0.12\", expect_size=\"15586304\"] \n  27 -> 33 [size =\"15586304\"]\n  28 [size=\"49872213\", alpha=\"0.09\", expect_size=\"14961664\"] \n  28 -> 32 [size =\"14961664\"]\n  28 -> 33 [size =\"14961664\"]\n  29 [size=\"111093760\", alpha=\"0.08\", expect_size=\"33328128\"] \n  29 -> 31 [size =\"33328128\"]\n  29 -> 32 [size =\"33328128\"]\n  30 [size=\"33334613\", alpha=\"0.05\", expect_size=\"10000384\"] \n  31 [size=\"21674667\", alpha=\"0.02\", expect_size=\"6502400\"] \n  32 [size=\"136536747\", alpha=\"0.09\", expect_size=\"40961024\"] \n  32 -> 34 [size =\"40961024\"]\n  32 -> 35 [size =\"40961024\"]\n  33 [size=\"122600107\", alpha=\"0.06\", expect_size=\"36780032\"] \n  33 -> 35 [size =\"36780032\"]\n  34 [size=\"91982507\", alpha=\"0.09\", expect_size=\"27594752\"] \n  35 [size=\"66785280\", alpha=\"0.15\", expect_size=\"20035584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29066240\", alpha=\"0.10\", expect_size=\"11626496\"] \n  1 -> 13 [size =\"11626496\"]\n  1 -> 15 [size =\"11626496\"]\n  1 -> 15 [size =\"11626496\"]\n  1 -> 16 [size =\"11626496\"]\n  2 [size=\"32153600\", alpha=\"0.16\", expect_size=\"12861440\"] \n  2 -> 12 [size =\"12861440\"]\n  2 -> 16 [size =\"12861440\"]\n  2 -> 17 [size =\"12861440\"]\n  2 -> 18 [size =\"12861440\"]\n  3 [size=\"130849280\", alpha=\"0.10\", expect_size=\"52339712\"] \n  3 -> 10 [size =\"52339712\"]\n  3 -> 12 [size =\"52339712\"]\n  3 -> 13 [size =\"52339712\"]\n  3 -> 14 [size =\"52339712\"]\n  3 -> 15 [size =\"52339712\"]\n  3 -> 17 [size =\"52339712\"]\n  4 [size=\"94110720\", alpha=\"0.09\", expect_size=\"37644288\"] \n  4 -> 10 [size =\"37644288\"]\n  4 -> 11 [size =\"37644288\"]\n  4 -> 12 [size =\"37644288\"]\n  4 -> 15 [size =\"37644288\"]\n  4 -> 16 [size =\"37644288\"]\n  4 -> 17 [size =\"37644288\"]\n  5 [size=\"21012480\", alpha=\"0.19\", expect_size=\"8404992\"] \n  5 -> 11 [size =\"8404992\"]\n  5 -> 14 [size =\"8404992\"]\n  5 -> 17 [size =\"8404992\"]\n  6 [size=\"103178240\", alpha=\"0.19\", expect_size=\"41271296\"] \n  6 -> 10 [size =\"41271296\"]\n  6 -> 13 [size =\"41271296\"]\n  6 -> 17 [size =\"41271296\"]\n  7 [size=\"59904000\", alpha=\"0.13\", expect_size=\"23961600\"] \n  7 -> 10 [size =\"23961600\"]\n  7 -> 16 [size =\"23961600\"]\n  7 -> 17 [size =\"23961600\"]\n  8 [size=\"112977920\", alpha=\"0.05\", expect_size=\"45191168\"] \n  8 -> 11 [size =\"45191168\"]\n  8 -> 15 [size =\"45191168\"]\n  8 -> 16 [size =\"45191168\"]\n  9 [size=\"15805440\", alpha=\"0.13\", expect_size=\"6322176\"] \n  9 -> 11 [size =\"6322176\"]\n  9 -> 13 [size =\"6322176\"]\n  9 -> 15 [size =\"6322176\"]\n  9 -> 16 [size =\"6322176\"]\n  10 [size=\"49827840\", alpha=\"0.09\", expect_size=\"19931136\"] \n  10 -> 21 [size =\"19931136\"]\n  10 -> 24 [size =\"19931136\"]\n  11 [size=\"130698240\", alpha=\"0.14\", expect_size=\"52279296\"] \n  11 -> 22 [size =\"52279296\"]\n  11 -> 23 [size =\"52279296\"]\n  11 -> 25 [size =\"52279296\"]\n  11 -> 26 [size =\"52279296\"]\n  12 [size=\"71429120\", alpha=\"0.14\", expect_size=\"28571648\"] \n  12 -> 20 [size =\"28571648\"]\n  12 -> 23 [size =\"28571648\"]\n  12 -> 24 [size =\"28571648\"]\n  12 -> 31 [size =\"28571648\"]\n  13 [size=\"46845440\", alpha=\"0.08\", expect_size=\"18738176\"] \n  13 -> 19 [size =\"18738176\"]\n  13 -> 21 [size =\"18738176\"]\n  13 -> 22 [size =\"18738176\"]\n  13 -> 24 [size =\"18738176\"]\n  13 -> 28 [size =\"18738176\"]\n  13 -> 30 [size =\"18738176\"]\n  13 -> 31 [size =\"18738176\"]\n  14 [size=\"102919680\", alpha=\"0.12\", expect_size=\"41167872\"] \n  14 -> 20 [size =\"41167872\"]\n  14 -> 23 [size =\"41167872\"]\n  14 -> 24 [size =\"41167872\"]\n  14 -> 25 [size =\"41167872\"]\n  14 -> 31 [size =\"41167872\"]\n  14 -> 32 [size =\"41167872\"]\n  14 -> 33 [size =\"41167872\"]\n  15 [size=\"35681280\", alpha=\"0.05\", expect_size=\"14272512\"] \n  15 -> 27 [size =\"14272512\"]\n  16 [size=\"31549440\", alpha=\"0.01\", expect_size=\"12619776\"] \n  16 -> 19 [size =\"12619776\"]\n  16 -> 20 [size =\"12619776\"]\n  16 -> 21 [size =\"12619776\"]\n  16 -> 29 [size =\"12619776\"]\n  16 -> 30 [size =\"12619776\"]\n  16 -> 31 [size =\"12619776\"]\n  16 -> 32 [size =\"12619776\"]\n  17 [size=\"26754560\", alpha=\"0.11\", expect_size=\"10701824\"] \n  17 -> 23 [size =\"10701824\"]\n  17 -> 24 [size =\"10701824\"]\n  17 -> 26 [size =\"10701824\"]\n  17 -> 27 [size =\"10701824\"]\n  17 -> 28 [size =\"10701824\"]\n  17 -> 29 [size =\"10701824\"]\n  17 -> 31 [size =\"10701824\"]\n  18 [size=\"101713920\", alpha=\"0.03\", expect_size=\"40685568\"] \n  18 -> 19 [size =\"40685568\"]\n  18 -> 21 [size =\"40685568\"]\n  18 -> 23 [size =\"40685568\"]\n  18 -> 24 [size =\"40685568\"]\n  18 -> 31 [size =\"40685568\"]\n  18 -> 32 [size =\"40685568\"]\n  19 [size=\"129459200\", alpha=\"0.09\", expect_size=\"51783680\"] \n  20 [size=\"86461440\", alpha=\"0.00\", expect_size=\"34584576\"] \n  20 -> 34 [size =\"34584576\"]\n  21 [size=\"22074880\", alpha=\"0.15\", expect_size=\"8829952\"] \n  21 -> 34 [size =\"8829952\"]\n  22 [size=\"104496640\", alpha=\"0.12\", expect_size=\"41798656\"] \n  22 -> 34 [size =\"41798656\"]\n  23 [size=\"68218880\", alpha=\"0.09\", expect_size=\"27287552\"] \n  24 [size=\"114327040\", alpha=\"0.01\", expect_size=\"45730816\"] \n  24 -> 35 [size =\"45730816\"]\n  25 [size=\"65254400\", alpha=\"0.13\", expect_size=\"26101760\"] \n  26 [size=\"94643200\", alpha=\"0.01\", expect_size=\"37857280\"] \n  27 [size=\"98818560\", alpha=\"0.16\", expect_size=\"39527424\"] \n  27 -> 34 [size =\"39527424\"]\n  27 -> 35 [size =\"39527424\"]\n  28 [size=\"43456000\", alpha=\"0.09\", expect_size=\"17382400\"] \n  28 -> 35 [size =\"17382400\"]\n  29 [size=\"60226560\", alpha=\"0.02\", expect_size=\"24090624\"] \n  30 [size=\"113162240\", alpha=\"0.01\", expect_size=\"45264896\"] \n  31 [size=\"115932160\", alpha=\"0.01\", expect_size=\"46372864\"] \n  32 [size=\"84490240\", alpha=\"0.10\", expect_size=\"33796096\"] \n  32 -> 34 [size =\"33796096\"]\n  33 [size=\"37882880\", alpha=\"0.05\", expect_size=\"15153152\"] \n  34 [size=\"93857280\", alpha=\"0.15\", expect_size=\"37542912\"] \n  35 [size=\"97489920\", alpha=\"0.09\", expect_size=\"38995968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95907840\", alpha=\"0.10\", expect_size=\"47953920\"] \n  2 [size=\"74479616\", alpha=\"0.07\", expect_size=\"37239808\"] \n  2 -> 5 [size =\"37239808\"]\n  2 -> 7 [size =\"37239808\"]\n  2 -> 8 [size =\"37239808\"]\n  2 -> 9 [size =\"37239808\"]\n  3 [size=\"25671680\", alpha=\"0.12\", expect_size=\"12835840\"] \n  3 -> 5 [size =\"12835840\"]\n  3 -> 7 [size =\"12835840\"]\n  4 [size=\"100096000\", alpha=\"0.15\", expect_size=\"50048000\"] \n  4 -> 5 [size =\"50048000\"]\n  4 -> 6 [size =\"50048000\"]\n  4 -> 7 [size =\"50048000\"]\n  5 [size=\"57053184\", alpha=\"0.20\", expect_size=\"28526592\"] \n  5 -> 11 [size =\"28526592\"]\n  6 [size=\"66809856\", alpha=\"0.15\", expect_size=\"33404928\"] \n  6 -> 11 [size =\"33404928\"]\n  7 [size=\"79063040\", alpha=\"0.06\", expect_size=\"39531520\"] \n  7 -> 11 [size =\"39531520\"]\n  7 -> 12 [size =\"39531520\"]\n  7 -> 13 [size =\"39531520\"]\n  8 [size=\"79495168\", alpha=\"0.13\", expect_size=\"39747584\"] \n  8 -> 12 [size =\"39747584\"]\n  8 -> 13 [size =\"39747584\"]\n  8 -> 14 [size =\"39747584\"]\n  9 [size=\"32686080\", alpha=\"0.06\", expect_size=\"16343040\"] \n  9 -> 10 [size =\"16343040\"]\n  9 -> 12 [size =\"16343040\"]\n  10 [size=\"73578496\", alpha=\"0.07\", expect_size=\"36789248\"] \n  10 -> 16 [size =\"36789248\"]\n  11 [size=\"77510656\", alpha=\"0.08\", expect_size=\"38755328\"] \n  11 -> 15 [size =\"38755328\"]\n  11 -> 16 [size =\"38755328\"]\n  11 -> 17 [size =\"38755328\"]\n  11 -> 18 [size =\"38755328\"]\n  12 [size=\"32272384\", alpha=\"0.11\", expect_size=\"16136192\"] \n  12 -> 19 [size =\"16136192\"]\n  13 [size=\"63879168\", alpha=\"0.07\", expect_size=\"31939584\"] \n  14 [size=\"26441728\", alpha=\"0.08\", expect_size=\"13220864\"] \n  14 -> 15 [size =\"13220864\"]\n  15 [size=\"96167936\", alpha=\"0.05\", expect_size=\"48083968\"] \n  15 -> 21 [size =\"48083968\"]\n  15 -> 22 [size =\"48083968\"]\n  16 [size=\"95494144\", alpha=\"0.02\", expect_size=\"47747072\"] \n  16 -> 22 [size =\"47747072\"]\n  17 [size=\"73766912\", alpha=\"0.18\", expect_size=\"36883456\"] \n  17 -> 20 [size =\"36883456\"]\n  17 -> 22 [size =\"36883456\"]\n  17 -> 23 [size =\"36883456\"]\n  18 [size=\"100448256\", alpha=\"0.17\", expect_size=\"50224128\"] \n  19 [size=\"66721792\", alpha=\"0.11\", expect_size=\"33360896\"] \n  19 -> 22 [size =\"33360896\"]\n  20 [size=\"93538304\", alpha=\"0.12\", expect_size=\"46769152\"] \n  20 -> 25 [size =\"46769152\"]\n  20 -> 26 [size =\"46769152\"]\n  21 [size=\"33101824\", alpha=\"0.12\", expect_size=\"16550912\"] \n  21 -> 24 [size =\"16550912\"]\n  21 -> 25 [size =\"16550912\"]\n  21 -> 27 [size =\"16550912\"]\n  22 [size=\"70760448\", alpha=\"0.06\", expect_size=\"35380224\"] \n  23 [size=\"30273536\", alpha=\"0.02\", expect_size=\"15136768\"] \n  23 -> 26 [size =\"15136768\"]\n  24 [size=\"65310720\", alpha=\"0.18\", expect_size=\"32655360\"] \n  24 -> 29 [size =\"32655360\"]\n  24 -> 30 [size =\"32655360\"]\n  25 [size=\"103606272\", alpha=\"0.04\", expect_size=\"51803136\"] \n  25 -> 28 [size =\"51803136\"]\n  25 -> 29 [size =\"51803136\"]\n  26 [size=\"34336768\", alpha=\"0.01\", expect_size=\"17168384\"] \n  26 -> 28 [size =\"17168384\"]\n  26 -> 30 [size =\"17168384\"]\n  27 [size=\"41533440\", alpha=\"0.13\", expect_size=\"20766720\"] \n  27 -> 29 [size =\"20766720\"]\n  27 -> 30 [size =\"20766720\"]\n  27 -> 31 [size =\"20766720\"]\n  28 [size=\"30347264\", alpha=\"0.20\", expect_size=\"15173632\"] \n  28 -> 34 [size =\"15173632\"]\n  29 [size=\"15777792\", alpha=\"0.11\", expect_size=\"7888896\"] \n  29 -> 32 [size =\"7888896\"]\n  29 -> 33 [size =\"7888896\"]\n  30 [size=\"66050048\", alpha=\"0.16\", expect_size=\"33025024\"] \n  30 -> 33 [size =\"33025024\"]\n  31 [size=\"30429184\", alpha=\"0.15\", expect_size=\"15214592\"] \n  31 -> 32 [size =\"15214592\"]\n  31 -> 33 [size =\"15214592\"]\n  31 -> 35 [size =\"15214592\"]\n  32 [size=\"88707072\", alpha=\"0.18\", expect_size=\"44353536\"] \n  33 [size=\"21766144\", alpha=\"0.13\", expect_size=\"10883072\"] \n  34 [size=\"33536000\", alpha=\"0.11\", expect_size=\"16768000\"] \n  35 [size=\"24885248\", alpha=\"0.08\", expect_size=\"12442624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49303040\", alpha=\"0.16\", expect_size=\"19721216\"] \n  1 -> 13 [size =\"19721216\"]\n  1 -> 17 [size =\"19721216\"]\n  1 -> 21 [size =\"19721216\"]\n  1 -> 22 [size =\"19721216\"]\n  2 [size=\"88389120\", alpha=\"0.04\", expect_size=\"35355648\"] \n  2 -> 13 [size =\"35355648\"]\n  2 -> 14 [size =\"35355648\"]\n  2 -> 15 [size =\"35355648\"]\n  2 -> 17 [size =\"35355648\"]\n  2 -> 20 [size =\"35355648\"]\n  2 -> 21 [size =\"35355648\"]\n  2 -> 22 [size =\"35355648\"]\n  3 [size=\"18688000\", alpha=\"0.20\", expect_size=\"7475200\"] \n  3 -> 13 [size =\"7475200\"]\n  3 -> 14 [size =\"7475200\"]\n  3 -> 15 [size =\"7475200\"]\n  3 -> 17 [size =\"7475200\"]\n  3 -> 19 [size =\"7475200\"]\n  3 -> 20 [size =\"7475200\"]\n  3 -> 21 [size =\"7475200\"]\n  3 -> 22 [size =\"7475200\"]\n  4 [size=\"65925120\", alpha=\"0.05\", expect_size=\"26370048\"] \n  4 -> 14 [size =\"26370048\"]\n  4 -> 15 [size =\"26370048\"]\n  4 -> 17 [size =\"26370048\"]\n  4 -> 18 [size =\"26370048\"]\n  4 -> 20 [size =\"26370048\"]\n  4 -> 20 [size =\"26370048\"]\n  4 -> 21 [size =\"26370048\"]\n  4 -> 22 [size =\"26370048\"]\n  5 [size=\"69452800\", alpha=\"0.09\", expect_size=\"27781120\"] \n  5 -> 18 [size =\"27781120\"]\n  5 -> 20 [size =\"27781120\"]\n  5 -> 21 [size =\"27781120\"]\n  5 -> 22 [size =\"27781120\"]\n  6 [size=\"81047040\", alpha=\"0.20\", expect_size=\"32418816\"] \n  6 -> 14 [size =\"32418816\"]\n  6 -> 15 [size =\"32418816\"]\n  6 -> 18 [size =\"32418816\"]\n  6 -> 20 [size =\"32418816\"]\n  6 -> 21 [size =\"32418816\"]\n  7 [size=\"62026240\", alpha=\"0.16\", expect_size=\"24810496\"] \n  7 -> 14 [size =\"24810496\"]\n  7 -> 15 [size =\"24810496\"]\n  7 -> 16 [size =\"24810496\"]\n  7 -> 21 [size =\"24810496\"]\n  7 -> 21 [size =\"24810496\"]\n  8 [size=\"101337600\", alpha=\"0.14\", expect_size=\"40535040\"] \n  8 -> 14 [size =\"40535040\"]\n  8 -> 15 [size =\"40535040\"]\n  8 -> 18 [size =\"40535040\"]\n  8 -> 19 [size =\"40535040\"]\n  8 -> 20 [size =\"40535040\"]\n  9 [size=\"130055680\", alpha=\"0.15\", expect_size=\"52022272\"] \n  9 -> 15 [size =\"52022272\"]\n  9 -> 17 [size =\"52022272\"]\n  9 -> 19 [size =\"52022272\"]\n  9 -> 20 [size =\"52022272\"]\n  9 -> 22 [size =\"52022272\"]\n  10 [size=\"80693760\", alpha=\"0.01\", expect_size=\"32277504\"] \n  10 -> 13 [size =\"32277504\"]\n  10 -> 17 [size =\"32277504\"]\n  10 -> 18 [size =\"32277504\"]\n  10 -> 19 [size =\"32277504\"]\n  10 -> 20 [size =\"32277504\"]\n  10 -> 22 [size =\"32277504\"]\n  11 [size=\"55646720\", alpha=\"0.08\", expect_size=\"22258688\"] \n  11 -> 13 [size =\"22258688\"]\n  11 -> 14 [size =\"22258688\"]\n  11 -> 15 [size =\"22258688\"]\n  11 -> 17 [size =\"22258688\"]\n  11 -> 18 [size =\"22258688\"]\n  11 -> 20 [size =\"22258688\"]\n  11 -> 21 [size =\"22258688\"]\n  12 [size=\"32604160\", alpha=\"0.09\", expect_size=\"13041664\"] \n  12 -> 13 [size =\"13041664\"]\n  12 -> 15 [size =\"13041664\"]\n  12 -> 21 [size =\"13041664\"]\n  12 -> 22 [size =\"13041664\"]\n  13 [size=\"58260480\", alpha=\"0.09\", expect_size=\"23304192\"] \n  13 -> 23 [size =\"23304192\"]\n  13 -> 25 [size =\"23304192\"]\n  13 -> 26 [size =\"23304192\"]\n  13 -> 27 [size =\"23304192\"]\n  13 -> 29 [size =\"23304192\"]\n  13 -> 30 [size =\"23304192\"]\n  14 [size=\"56504320\", alpha=\"0.02\", expect_size=\"22601728\"] \n  14 -> 25 [size =\"22601728\"]\n  14 -> 27 [size =\"22601728\"]\n  14 -> 28 [size =\"22601728\"]\n  14 -> 30 [size =\"22601728\"]\n  15 [size=\"83904000\", alpha=\"0.02\", expect_size=\"33561600\"] \n  15 -> 23 [size =\"33561600\"]\n  15 -> 24 [size =\"33561600\"]\n  15 -> 25 [size =\"33561600\"]\n  15 -> 26 [size =\"33561600\"]\n  15 -> 27 [size =\"33561600\"]\n  15 -> 28 [size =\"33561600\"]\n  15 -> 30 [size =\"33561600\"]\n  15 -> 31 [size =\"33561600\"]\n  16 [size=\"17418240\", alpha=\"0.05\", expect_size=\"6967296\"] \n  16 -> 23 [size =\"6967296\"]\n  16 -> 24 [size =\"6967296\"]\n  16 -> 27 [size =\"6967296\"]\n  16 -> 30 [size =\"6967296\"]\n  16 -> 31 [size =\"6967296\"]\n  16 -> 32 [size =\"6967296\"]\n  17 [size=\"15915520\", alpha=\"0.02\", expect_size=\"6366208\"] \n  17 -> 23 [size =\"6366208\"]\n  17 -> 25 [size =\"6366208\"]\n  17 -> 30 [size =\"6366208\"]\n  17 -> 31 [size =\"6366208\"]\n  17 -> 31 [size =\"6366208\"]\n  18 [size=\"109324800\", alpha=\"0.06\", expect_size=\"43729920\"] \n  18 -> 25 [size =\"43729920\"]\n  18 -> 28 [size =\"43729920\"]\n  18 -> 32 [size =\"43729920\"]\n  19 [size=\"76654080\", alpha=\"0.03\", expect_size=\"30661632\"] \n  19 -> 25 [size =\"30661632\"]\n  19 -> 26 [size =\"30661632\"]\n  19 -> 31 [size =\"30661632\"]\n  20 [size=\"44590080\", alpha=\"0.08\", expect_size=\"17836032\"] \n  20 -> 25 [size =\"17836032\"]\n  20 -> 26 [size =\"17836032\"]\n  20 -> 30 [size =\"17836032\"]\n  20 -> 31 [size =\"17836032\"]\n  21 [size=\"51970560\", alpha=\"0.18\", expect_size=\"20788224\"] \n  21 -> 25 [size =\"20788224\"]\n  21 -> 32 [size =\"20788224\"]\n  22 [size=\"100820480\", alpha=\"0.02\", expect_size=\"40328192\"] \n  22 -> 23 [size =\"40328192\"]\n  22 -> 25 [size =\"40328192\"]\n  22 -> 26 [size =\"40328192\"]\n  22 -> 29 [size =\"40328192\"]\n  22 -> 31 [size =\"40328192\"]\n  23 [size=\"34608640\", alpha=\"0.06\", expect_size=\"13843456\"] \n  23 -> 33 [size =\"13843456\"]\n  23 -> 34 [size =\"13843456\"]\n  23 -> 35 [size =\"13843456\"]\n  24 [size=\"87759360\", alpha=\"0.19\", expect_size=\"35103744\"] \n  24 -> 34 [size =\"35103744\"]\n  25 [size=\"100313600\", alpha=\"0.02\", expect_size=\"40125440\"] \n  25 -> 33 [size =\"40125440\"]\n  25 -> 34 [size =\"40125440\"]\n  26 [size=\"111902720\", alpha=\"0.16\", expect_size=\"44761088\"] \n  27 [size=\"23728640\", alpha=\"0.19\", expect_size=\"9491456\"] \n  27 -> 34 [size =\"9491456\"]\n  28 [size=\"36771840\", alpha=\"0.16\", expect_size=\"14708736\"] \n  28 -> 33 [size =\"14708736\"]\n  28 -> 34 [size =\"14708736\"]\n  29 [size=\"69688320\", alpha=\"0.13\", expect_size=\"27875328\"] \n  30 [size=\"89047040\", alpha=\"0.02\", expect_size=\"35618816\"] \n  30 -> 35 [size =\"35618816\"]\n  31 [size=\"16373760\", alpha=\"0.18\", expect_size=\"6549504\"] \n  31 -> 34 [size =\"6549504\"]\n  31 -> 35 [size =\"6549504\"]\n  32 [size=\"123791360\", alpha=\"0.18\", expect_size=\"49516544\"] \n  32 -> 34 [size =\"49516544\"]\n  33 [size=\"14725120\", alpha=\"0.05\", expect_size=\"5890048\"] \n  34 [size=\"48652800\", alpha=\"0.19\", expect_size=\"19461120\"] \n  35 [size=\"42465280\", alpha=\"0.05\", expect_size=\"16986112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79568896\", alpha=\"0.01\", expect_size=\"39784448\"] \n  1 -> 2 [size =\"39784448\"]\n  2 [size=\"66297856\", alpha=\"0.20\", expect_size=\"33148928\"] \n  2 -> 3 [size =\"33148928\"]\n  2 -> 4 [size =\"33148928\"]\n  3 [size=\"51380224\", alpha=\"0.03\", expect_size=\"25690112\"] \n  3 -> 5 [size =\"25690112\"]\n  3 -> 6 [size =\"25690112\"]\n  4 [size=\"45213696\", alpha=\"0.17\", expect_size=\"22606848\"] \n  4 -> 5 [size =\"22606848\"]\n  5 [size=\"25151488\", alpha=\"0.01\", expect_size=\"12575744\"] \n  5 -> 7 [size =\"12575744\"]\n  5 -> 8 [size =\"12575744\"]\n  6 [size=\"37318656\", alpha=\"0.12\", expect_size=\"18659328\"] \n  6 -> 7 [size =\"18659328\"]\n  7 [size=\"21088256\", alpha=\"0.13\", expect_size=\"10544128\"] \n  7 -> 9 [size =\"10544128\"]\n  8 [size=\"33384448\", alpha=\"0.20\", expect_size=\"16692224\"] \n  8 -> 9 [size =\"16692224\"]\n  8 -> 10 [size =\"16692224\"]\n  9 [size=\"81545216\", alpha=\"0.18\", expect_size=\"40772608\"] \n  10 [size=\"61493248\", alpha=\"0.04\", expect_size=\"30746624\"] \n  10 -> 11 [size =\"30746624\"]\n  11 [size=\"69709824\", alpha=\"0.08\", expect_size=\"34854912\"] \n  11 -> 12 [size =\"34854912\"]\n  12 [size=\"76582912\", alpha=\"0.01\", expect_size=\"38291456\"] \n  12 -> 13 [size =\"38291456\"]\n  13 [size=\"76134400\", alpha=\"0.20\", expect_size=\"38067200\"] \n  13 -> 14 [size =\"38067200\"]\n  13 -> 15 [size =\"38067200\"]\n  14 [size=\"90611712\", alpha=\"0.17\", expect_size=\"45305856\"] \n  14 -> 16 [size =\"45305856\"]\n  14 -> 17 [size =\"45305856\"]\n  15 [size=\"74096640\", alpha=\"0.15\", expect_size=\"37048320\"] \n  15 -> 16 [size =\"37048320\"]\n  15 -> 17 [size =\"37048320\"]\n  16 [size=\"78747648\", alpha=\"0.11\", expect_size=\"39373824\"] \n  16 -> 19 [size =\"39373824\"]\n  17 [size=\"42014720\", alpha=\"0.12\", expect_size=\"21007360\"] \n  17 -> 18 [size =\"21007360\"]\n  17 -> 19 [size =\"21007360\"]\n  18 [size=\"103942144\", alpha=\"0.06\", expect_size=\"51971072\"] \n  18 -> 20 [size =\"51971072\"]\n  19 [size=\"102993920\", alpha=\"0.06\", expect_size=\"51496960\"] \n  19 -> 20 [size =\"51496960\"]\n  20 [size=\"91742208\", alpha=\"0.08\", expect_size=\"45871104\"] \n  20 -> 21 [size =\"45871104\"]\n  21 [size=\"15327232\", alpha=\"0.04\", expect_size=\"7663616\"] \n  21 -> 22 [size =\"7663616\"]\n  22 [size=\"51513344\", alpha=\"0.12\", expect_size=\"25756672\"] \n  22 -> 23 [size =\"25756672\"]\n  22 -> 24 [size =\"25756672\"]\n  23 [size=\"55597056\", alpha=\"0.09\", expect_size=\"27798528\"] \n  23 -> 25 [size =\"27798528\"]\n  24 [size=\"55349248\", alpha=\"0.13\", expect_size=\"27674624\"] \n  24 -> 25 [size =\"27674624\"]\n  25 [size=\"43491328\", alpha=\"0.01\", expect_size=\"21745664\"] \n  25 -> 26 [size =\"21745664\"]\n  25 -> 27 [size =\"21745664\"]\n  26 [size=\"21968896\", alpha=\"0.14\", expect_size=\"10984448\"] \n  26 -> 28 [size =\"10984448\"]\n  27 [size=\"73760768\", alpha=\"0.09\", expect_size=\"36880384\"] \n  28 [size=\"36419584\", alpha=\"0.09\", expect_size=\"18209792\"] \n  28 -> 29 [size =\"18209792\"]\n  28 -> 30 [size =\"18209792\"]\n  29 [size=\"64755712\", alpha=\"0.04\", expect_size=\"32377856\"] \n  29 -> 31 [size =\"32377856\"]\n  29 -> 32 [size =\"32377856\"]\n  30 [size=\"93612032\", alpha=\"0.10\", expect_size=\"46806016\"] \n  30 -> 31 [size =\"46806016\"]\n  30 -> 32 [size =\"46806016\"]\n  31 [size=\"36149248\", alpha=\"0.09\", expect_size=\"18074624\"] \n  32 [size=\"55824384\", alpha=\"0.01\", expect_size=\"27912192\"] \n  32 -> 33 [size =\"27912192\"]\n  33 [size=\"19707904\", alpha=\"0.08\", expect_size=\"9853952\"] \n  33 -> 34 [size =\"9853952\"]\n  34 [size=\"63066112\", alpha=\"0.11\", expect_size=\"31533056\"] \n  34 -> 35 [size =\"31533056\"]\n  35 [size=\"31883264\", alpha=\"0.08\", expect_size=\"15941632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43202560\", alpha=\"0.14\", expect_size=\"21601280\"] \n  1 -> 2 [size =\"21601280\"]\n  2 [size=\"58910720\", alpha=\"0.17\", expect_size=\"29455360\"] \n  2 -> 3 [size =\"29455360\"]\n  2 -> 4 [size =\"29455360\"]\n  3 [size=\"71622656\", alpha=\"0.18\", expect_size=\"35811328\"] \n  4 [size=\"23429120\", alpha=\"0.09\", expect_size=\"11714560\"] \n  4 -> 5 [size =\"11714560\"]\n  4 -> 6 [size =\"11714560\"]\n  5 [size=\"27750400\", alpha=\"0.14\", expect_size=\"13875200\"] \n  5 -> 7 [size =\"13875200\"]\n  6 [size=\"58120192\", alpha=\"0.05\", expect_size=\"29060096\"] \n  7 [size=\"66568192\", alpha=\"0.17\", expect_size=\"33284096\"] \n  7 -> 8 [size =\"33284096\"]\n  8 [size=\"34492416\", alpha=\"0.09\", expect_size=\"17246208\"] \n  8 -> 9 [size =\"17246208\"]\n  9 [size=\"101543936\", alpha=\"0.13\", expect_size=\"50771968\"] \n  9 -> 10 [size =\"50771968\"]\n  10 [size=\"28977152\", alpha=\"0.07\", expect_size=\"14488576\"] \n  10 -> 11 [size =\"14488576\"]\n  10 -> 12 [size =\"14488576\"]\n  11 [size=\"98361344\", alpha=\"0.01\", expect_size=\"49180672\"] \n  11 -> 13 [size =\"49180672\"]\n  12 [size=\"67799040\", alpha=\"0.02\", expect_size=\"33899520\"] \n  12 -> 14 [size =\"33899520\"]\n  13 [size=\"55947264\", alpha=\"0.06\", expect_size=\"27973632\"] \n  14 [size=\"45703168\", alpha=\"0.00\", expect_size=\"22851584\"] \n  14 -> 15 [size =\"22851584\"]\n  15 [size=\"89280512\", alpha=\"0.00\", expect_size=\"44640256\"] \n  15 -> 16 [size =\"44640256\"]\n  15 -> 17 [size =\"44640256\"]\n  16 [size=\"62189568\", alpha=\"0.15\", expect_size=\"31094784\"] \n  16 -> 19 [size =\"31094784\"]\n  17 [size=\"87832576\", alpha=\"0.02\", expect_size=\"43916288\"] \n  17 -> 18 [size =\"43916288\"]\n  18 [size=\"75083776\", alpha=\"0.02\", expect_size=\"37541888\"] \n  18 -> 20 [size =\"37541888\"]\n  19 [size=\"22120448\", alpha=\"0.04\", expect_size=\"11060224\"] \n  19 -> 21 [size =\"11060224\"]\n  20 [size=\"83601408\", alpha=\"0.14\", expect_size=\"41800704\"] \n  21 [size=\"23154688\", alpha=\"0.11\", expect_size=\"11577344\"] \n  21 -> 22 [size =\"11577344\"]\n  21 -> 23 [size =\"11577344\"]\n  22 [size=\"30128128\", alpha=\"0.18\", expect_size=\"15064064\"] \n  22 -> 24 [size =\"15064064\"]\n  22 -> 25 [size =\"15064064\"]\n  23 [size=\"38008832\", alpha=\"0.19\", expect_size=\"19004416\"] \n  24 [size=\"64505856\", alpha=\"0.02\", expect_size=\"32252928\"] \n  24 -> 26 [size =\"32252928\"]\n  25 [size=\"66709504\", alpha=\"0.08\", expect_size=\"33354752\"] \n  25 -> 27 [size =\"33354752\"]\n  26 [size=\"66832384\", alpha=\"0.05\", expect_size=\"33416192\"] \n  27 [size=\"41031680\", alpha=\"0.14\", expect_size=\"20515840\"] \n  27 -> 28 [size =\"20515840\"]\n  28 [size=\"51644416\", alpha=\"0.08\", expect_size=\"25822208\"] \n  28 -> 29 [size =\"25822208\"]\n  29 [size=\"63174656\", alpha=\"0.01\", expect_size=\"31587328\"] \n  29 -> 30 [size =\"31587328\"]\n  30 [size=\"80445440\", alpha=\"0.18\", expect_size=\"40222720\"] \n  30 -> 31 [size =\"40222720\"]\n  31 [size=\"51253248\", alpha=\"0.13\", expect_size=\"25626624\"] \n  31 -> 32 [size =\"25626624\"]\n  31 -> 33 [size =\"25626624\"]\n  32 [size=\"102688768\", alpha=\"0.01\", expect_size=\"51344384\"] \n  32 -> 35 [size =\"51344384\"]\n  33 [size=\"94435328\", alpha=\"0.18\", expect_size=\"47217664\"] \n  33 -> 34 [size =\"47217664\"]\n  34 [size=\"87627776\", alpha=\"0.03\", expect_size=\"43813888\"] \n  35 [size=\"95211520\", alpha=\"0.05\", expect_size=\"47605760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167168000\", alpha=\"0.19\", expect_size=\"50150400\"] \n  1 -> 27 [size =\"50150400\"]\n  1 -> 29 [size =\"50150400\"]\n  1 -> 34 [size =\"50150400\"]\n  2 [size=\"132297387\", alpha=\"0.13\", expect_size=\"39689216\"] \n  2 -> 24 [size =\"39689216\"]\n  2 -> 33 [size =\"39689216\"]\n  3 [size=\"108045653\", alpha=\"0.11\", expect_size=\"32413696\"] \n  3 -> 27 [size =\"32413696\"]\n  3 -> 30 [size =\"32413696\"]\n  3 -> 32 [size =\"32413696\"]\n  3 -> 33 [size =\"32413696\"]\n  4 [size=\"90159787\", alpha=\"0.01\", expect_size=\"27047936\"] \n  4 -> 25 [size =\"27047936\"]\n  4 -> 29 [size =\"27047936\"]\n  4 -> 32 [size =\"27047936\"]\n  4 -> 33 [size =\"27047936\"]\n  5 [size=\"33525760\", alpha=\"0.16\", expect_size=\"10057728\"] \n  5 -> 25 [size =\"10057728\"]\n  5 -> 31 [size =\"10057728\"]\n  5 -> 32 [size =\"10057728\"]\n  5 -> 33 [size =\"10057728\"]\n  5 -> 35 [size =\"10057728\"]\n  6 [size=\"149029547\", alpha=\"0.11\", expect_size=\"44708864\"] \n  6 -> 30 [size =\"44708864\"]\n  6 -> 32 [size =\"44708864\"]\n  6 -> 32 [size =\"44708864\"]\n  7 [size=\"148995413\", alpha=\"0.08\", expect_size=\"44698624\"] \n  7 -> 24 [size =\"44698624\"]\n  7 -> 29 [size =\"44698624\"]\n  8 [size=\"48677547\", alpha=\"0.13\", expect_size=\"14603264\"] \n  8 -> 29 [size =\"14603264\"]\n  8 -> 33 [size =\"14603264\"]\n  9 [size=\"56883200\", alpha=\"0.15\", expect_size=\"17064960\"] \n  9 -> 24 [size =\"17064960\"]\n  9 -> 25 [size =\"17064960\"]\n  10 [size=\"166219093\", alpha=\"0.19\", expect_size=\"49865728\"] \n  10 -> 24 [size =\"49865728\"]\n  10 -> 25 [size =\"49865728\"]\n  10 -> 27 [size =\"49865728\"]\n  10 -> 33 [size =\"49865728\"]\n  11 [size=\"146182827\", alpha=\"0.18\", expect_size=\"43854848\"] \n  11 -> 29 [size =\"43854848\"]\n  12 [size=\"137369600\", alpha=\"0.01\", expect_size=\"41210880\"] \n  12 -> 23 [size =\"41210880\"]\n  12 -> 25 [size =\"41210880\"]\n  12 -> 26 [size =\"41210880\"]\n  13 [size=\"79776427\", alpha=\"0.09\", expect_size=\"23932928\"] \n  13 -> 23 [size =\"23932928\"]\n  13 -> 27 [size =\"23932928\"]\n  13 -> 32 [size =\"23932928\"]\n  14 [size=\"162942293\", alpha=\"0.14\", expect_size=\"48882688\"] \n  14 -> 23 [size =\"48882688\"]\n  14 -> 25 [size =\"48882688\"]\n  14 -> 32 [size =\"48882688\"]\n  14 -> 34 [size =\"48882688\"]\n  15 [size=\"170625707\", alpha=\"0.00\", expect_size=\"51187712\"] \n  15 -> 27 [size =\"51187712\"]\n  15 -> 28 [size =\"51187712\"]\n  15 -> 32 [size =\"51187712\"]\n  15 -> 34 [size =\"51187712\"]\n  15 -> 35 [size =\"51187712\"]\n  16 [size=\"137041920\", alpha=\"0.13\", expect_size=\"41112576\"] \n  16 -> 23 [size =\"41112576\"]\n  16 -> 26 [size =\"41112576\"]\n  16 -> 28 [size =\"41112576\"]\n  16 -> 34 [size =\"41112576\"]\n  17 [size=\"67829760\", alpha=\"0.06\", expect_size=\"20348928\"] \n  17 -> 25 [size =\"20348928\"]\n  17 -> 26 [size =\"20348928\"]\n  17 -> 34 [size =\"20348928\"]\n  18 [size=\"129204907\", alpha=\"0.05\", expect_size=\"38761472\"] \n  18 -> 29 [size =\"38761472\"]\n  19 [size=\"70727680\", alpha=\"0.14\", expect_size=\"21218304\"] \n  19 -> 23 [size =\"21218304\"]\n  19 -> 31 [size =\"21218304\"]\n  19 -> 33 [size =\"21218304\"]\n  20 [size=\"33747627\", alpha=\"0.10\", expect_size=\"10124288\"] \n  20 -> 23 [size =\"10124288\"]\n  20 -> 25 [size =\"10124288\"]\n  20 -> 26 [size =\"10124288\"]\n  20 -> 27 [size =\"10124288\"]\n  20 -> 33 [size =\"10124288\"]\n  21 [size=\"23466667\", alpha=\"0.06\", expect_size=\"7040000\"] \n  21 -> 23 [size =\"7040000\"]\n  21 -> 30 [size =\"7040000\"]\n  21 -> 32 [size =\"7040000\"]\n  21 -> 33 [size =\"7040000\"]\n  21 -> 34 [size =\"7040000\"]\n  22 [size=\"168669867\", alpha=\"0.16\", expect_size=\"50600960\"] \n  22 -> 24 [size =\"50600960\"]\n  22 -> 25 [size =\"50600960\"]\n  22 -> 27 [size =\"50600960\"]\n  22 -> 30 [size =\"50600960\"]\n  22 -> 32 [size =\"50600960\"]\n  22 -> 34 [size =\"50600960\"]\n  23 [size=\"18503680\", alpha=\"0.18\", expect_size=\"5551104\"] \n  24 [size=\"85428907\", alpha=\"0.08\", expect_size=\"25628672\"] \n  25 [size=\"41850880\", alpha=\"0.01\", expect_size=\"12555264\"] \n  26 [size=\"45544107\", alpha=\"0.11\", expect_size=\"13663232\"] \n  27 [size=\"145035947\", alpha=\"0.18\", expect_size=\"43510784\"] \n  28 [size=\"36621653\", alpha=\"0.08\", expect_size=\"10986496\"] \n  29 [size=\"73175040\", alpha=\"0.03\", expect_size=\"21952512\"] \n  30 [size=\"23442773\", alpha=\"0.18\", expect_size=\"7032832\"] \n  31 [size=\"103601493\", alpha=\"0.08\", expect_size=\"31080448\"] \n  32 [size=\"148773547\", alpha=\"0.14\", expect_size=\"44632064\"] \n  33 [size=\"116493653\", alpha=\"0.08\", expect_size=\"34948096\"] \n  34 [size=\"97334613\", alpha=\"0.00\", expect_size=\"29200384\"] \n  35 [size=\"163986773\", alpha=\"0.12\", expect_size=\"49196032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172854613\", alpha=\"0.19\", expect_size=\"51856384\"] \n  1 -> 2 [size =\"51856384\"]\n  2 [size=\"79783253\", alpha=\"0.03\", expect_size=\"23934976\"] \n  2 -> 3 [size =\"23934976\"]\n  3 [size=\"96143360\", alpha=\"0.11\", expect_size=\"28843008\"] \n  3 -> 4 [size =\"28843008\"]\n  4 [size=\"58098347\", alpha=\"0.11\", expect_size=\"17429504\"] \n  4 -> 5 [size =\"17429504\"]\n  5 [size=\"68608000\", alpha=\"0.03\", expect_size=\"20582400\"] \n  5 -> 6 [size =\"20582400\"]\n  6 [size=\"154514773\", alpha=\"0.19\", expect_size=\"46354432\"] \n  6 -> 7 [size =\"46354432\"]\n  7 [size=\"96358400\", alpha=\"0.02\", expect_size=\"28907520\"] \n  7 -> 8 [size =\"28907520\"]\n  8 [size=\"115493547\", alpha=\"0.10\", expect_size=\"34648064\"] \n  8 -> 9 [size =\"34648064\"]\n  9 [size=\"122299733\", alpha=\"0.18\", expect_size=\"36689920\"] \n  9 -> 10 [size =\"36689920\"]\n  10 [size=\"86647467\", alpha=\"0.09\", expect_size=\"25994240\"] \n  10 -> 11 [size =\"25994240\"]\n  11 [size=\"162034347\", alpha=\"0.13\", expect_size=\"48610304\"] \n  11 -> 12 [size =\"48610304\"]\n  12 [size=\"153709227\", alpha=\"0.15\", expect_size=\"46112768\"] \n  12 -> 13 [size =\"46112768\"]\n  13 [size=\"22961493\", alpha=\"0.16\", expect_size=\"6888448\"] \n  13 -> 14 [size =\"6888448\"]\n  14 [size=\"110544213\", alpha=\"0.20\", expect_size=\"33163264\"] \n  14 -> 15 [size =\"33163264\"]\n  15 [size=\"38335147\", alpha=\"0.15\", expect_size=\"11500544\"] \n  15 -> 16 [size =\"11500544\"]\n  16 [size=\"58699093\", alpha=\"0.11\", expect_size=\"17609728\"] \n  16 -> 17 [size =\"17609728\"]\n  17 [size=\"48254293\", alpha=\"0.19\", expect_size=\"14476288\"] \n  17 -> 18 [size =\"14476288\"]\n  18 [size=\"62859947\", alpha=\"0.16\", expect_size=\"18857984\"] \n  18 -> 19 [size =\"18857984\"]\n  19 [size=\"137844053\", alpha=\"0.08\", expect_size=\"41353216\"] \n  19 -> 20 [size =\"41353216\"]\n  20 [size=\"120012800\", alpha=\"0.01\", expect_size=\"36003840\"] \n  20 -> 21 [size =\"36003840\"]\n  21 [size=\"32563200\", alpha=\"0.14\", expect_size=\"9768960\"] \n  21 -> 22 [size =\"9768960\"]\n  22 [size=\"138697387\", alpha=\"0.15\", expect_size=\"41609216\"] \n  22 -> 23 [size =\"41609216\"]\n  23 [size=\"100911787\", alpha=\"0.06\", expect_size=\"30273536\"] \n  23 -> 24 [size =\"30273536\"]\n  24 [size=\"73297920\", alpha=\"0.02\", expect_size=\"21989376\"] \n  24 -> 25 [size =\"21989376\"]\n  25 [size=\"71840427\", alpha=\"0.05\", expect_size=\"21552128\"] \n  25 -> 26 [size =\"21552128\"]\n  26 [size=\"29443413\", alpha=\"0.05\", expect_size=\"8833024\"] \n  26 -> 27 [size =\"8833024\"]\n  27 [size=\"116660907\", alpha=\"0.15\", expect_size=\"34998272\"] \n  27 -> 28 [size =\"34998272\"]\n  28 [size=\"110216533\", alpha=\"0.18\", expect_size=\"33064960\"] \n  28 -> 29 [size =\"33064960\"]\n  29 [size=\"76595200\", alpha=\"0.14\", expect_size=\"22978560\"] \n  29 -> 30 [size =\"22978560\"]\n  30 [size=\"135925760\", alpha=\"0.19\", expect_size=\"40777728\"] \n  30 -> 31 [size =\"40777728\"]\n  31 [size=\"143011840\", alpha=\"0.02\", expect_size=\"42903552\"] \n  31 -> 32 [size =\"42903552\"]\n  32 [size=\"95945387\", alpha=\"0.02\", expect_size=\"28783616\"] \n  32 -> 33 [size =\"28783616\"]\n  33 [size=\"57033387\", alpha=\"0.03\", expect_size=\"17110016\"] \n  33 -> 34 [size =\"17110016\"]\n  34 [size=\"104949760\", alpha=\"0.16\", expect_size=\"31484928\"] \n  34 -> 35 [size =\"31484928\"]\n  35 [size=\"123026773\", alpha=\"0.12\", expect_size=\"36908032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112084480\", alpha=\"0.05\", expect_size=\"44833792\"] \n  1 -> 2 [size =\"44833792\"]\n  2 [size=\"53611520\", alpha=\"0.13\", expect_size=\"21444608\"] \n  2 -> 3 [size =\"21444608\"]\n  3 [size=\"68974080\", alpha=\"0.07\", expect_size=\"27589632\"] \n  3 -> 4 [size =\"27589632\"]\n  4 [size=\"112686080\", alpha=\"0.05\", expect_size=\"45074432\"] \n  4 -> 5 [size =\"45074432\"]\n  5 [size=\"46722560\", alpha=\"0.15\", expect_size=\"18689024\"] \n  5 -> 6 [size =\"18689024\"]\n  6 [size=\"91896320\", alpha=\"0.14\", expect_size=\"36758528\"] \n  6 -> 7 [size =\"36758528\"]\n  7 [size=\"39019520\", alpha=\"0.06\", expect_size=\"15607808\"] \n  7 -> 8 [size =\"15607808\"]\n  8 [size=\"50754560\", alpha=\"0.02\", expect_size=\"20301824\"] \n  8 -> 9 [size =\"20301824\"]\n  9 [size=\"21442560\", alpha=\"0.16\", expect_size=\"8577024\"] \n  9 -> 10 [size =\"8577024\"]\n  10 [size=\"45391360\", alpha=\"0.14\", expect_size=\"18156544\"] \n  10 -> 11 [size =\"18156544\"]\n  11 [size=\"51852800\", alpha=\"0.05\", expect_size=\"20741120\"] \n  11 -> 12 [size =\"20741120\"]\n  12 [size=\"81489920\", alpha=\"0.05\", expect_size=\"32595968\"] \n  12 -> 13 [size =\"32595968\"]\n  13 [size=\"40215040\", alpha=\"0.02\", expect_size=\"16086016\"] \n  13 -> 14 [size =\"16086016\"]\n  14 [size=\"81523200\", alpha=\"0.00\", expect_size=\"32609280\"] \n  14 -> 15 [size =\"32609280\"]\n  15 [size=\"112729600\", alpha=\"0.01\", expect_size=\"45091840\"] \n  15 -> 16 [size =\"45091840\"]\n  16 [size=\"83553280\", alpha=\"0.06\", expect_size=\"33421312\"] \n  16 -> 17 [size =\"33421312\"]\n  17 [size=\"45895680\", alpha=\"0.18\", expect_size=\"18358272\"] \n  17 -> 18 [size =\"18358272\"]\n  18 [size=\"83353600\", alpha=\"0.18\", expect_size=\"33341440\"] \n  18 -> 19 [size =\"33341440\"]\n  19 [size=\"96796160\", alpha=\"0.15\", expect_size=\"38718464\"] \n  19 -> 20 [size =\"38718464\"]\n  20 [size=\"70986240\", alpha=\"0.14\", expect_size=\"28394496\"] \n  20 -> 21 [size =\"28394496\"]\n  21 [size=\"36252160\", alpha=\"0.10\", expect_size=\"14500864\"] \n  21 -> 22 [size =\"14500864\"]\n  22 [size=\"65748480\", alpha=\"0.12\", expect_size=\"26299392\"] \n  22 -> 23 [size =\"26299392\"]\n  23 [size=\"97098240\", alpha=\"0.04\", expect_size=\"38839296\"] \n  23 -> 24 [size =\"38839296\"]\n  24 [size=\"107952640\", alpha=\"0.13\", expect_size=\"43181056\"] \n  24 -> 25 [size =\"43181056\"]\n  25 [size=\"109312000\", alpha=\"0.07\", expect_size=\"43724800\"] \n  25 -> 26 [size =\"43724800\"]\n  26 [size=\"114380800\", alpha=\"0.15\", expect_size=\"45752320\"] \n  26 -> 27 [size =\"45752320\"]\n  27 [size=\"33617920\", alpha=\"0.07\", expect_size=\"13447168\"] \n  27 -> 28 [size =\"13447168\"]\n  28 [size=\"24719360\", alpha=\"0.05\", expect_size=\"9887744\"] \n  28 -> 29 [size =\"9887744\"]\n  29 [size=\"130063360\", alpha=\"0.05\", expect_size=\"52025344\"] \n  29 -> 30 [size =\"52025344\"]\n  30 [size=\"103296000\", alpha=\"0.11\", expect_size=\"41318400\"] \n  30 -> 31 [size =\"41318400\"]\n  31 [size=\"68881920\", alpha=\"0.03\", expect_size=\"27552768\"] \n  31 -> 32 [size =\"27552768\"]\n  32 [size=\"125793280\", alpha=\"0.06\", expect_size=\"50317312\"] \n  32 -> 33 [size =\"50317312\"]\n  33 [size=\"78609920\", alpha=\"0.15\", expect_size=\"31443968\"] \n  33 -> 34 [size =\"31443968\"]\n  34 [size=\"101168640\", alpha=\"0.14\", expect_size=\"40467456\"] \n  34 -> 35 [size =\"40467456\"]\n  35 [size=\"57113600\", alpha=\"0.11\", expect_size=\"22845440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64770560\", alpha=\"0.02\", expect_size=\"25908224\"] \n  1 -> 3 [size =\"25908224\"]\n  2 [size=\"17251840\", alpha=\"0.13\", expect_size=\"6900736\"] \n  3 [size=\"61404160\", alpha=\"0.07\", expect_size=\"24561664\"] \n  3 -> 4 [size =\"24561664\"]\n  4 [size=\"21683200\", alpha=\"0.15\", expect_size=\"8673280\"] \n  4 -> 5 [size =\"8673280\"]\n  4 -> 6 [size =\"8673280\"]\n  5 [size=\"20044800\", alpha=\"0.06\", expect_size=\"8017920\"] \n  6 [size=\"68592640\", alpha=\"0.17\", expect_size=\"27437056\"] \n  6 -> 7 [size =\"27437056\"]\n  7 [size=\"16693760\", alpha=\"0.10\", expect_size=\"6677504\"] \n  7 -> 8 [size =\"6677504\"]\n  7 -> 9 [size =\"6677504\"]\n  8 [size=\"15872000\", alpha=\"0.01\", expect_size=\"6348800\"] \n  8 -> 10 [size =\"6348800\"]\n  9 [size=\"112867840\", alpha=\"0.14\", expect_size=\"45147136\"] \n  10 [size=\"37506560\", alpha=\"0.11\", expect_size=\"15002624\"] \n  10 -> 11 [size =\"15002624\"]\n  11 [size=\"98931200\", alpha=\"0.02\", expect_size=\"39572480\"] \n  11 -> 12 [size =\"39572480\"]\n  11 -> 13 [size =\"39572480\"]\n  12 [size=\"108029440\", alpha=\"0.07\", expect_size=\"43211776\"] \n  13 [size=\"68523520\", alpha=\"0.17\", expect_size=\"27409408\"] \n  13 -> 14 [size =\"27409408\"]\n  13 -> 15 [size =\"27409408\"]\n  14 [size=\"112476160\", alpha=\"0.17\", expect_size=\"44990464\"] \n  14 -> 16 [size =\"44990464\"]\n  14 -> 17 [size =\"44990464\"]\n  15 [size=\"80596480\", alpha=\"0.19\", expect_size=\"32238592\"] \n  16 [size=\"114240000\", alpha=\"0.03\", expect_size=\"45696000\"] \n  16 -> 18 [size =\"45696000\"]\n  17 [size=\"97692160\", alpha=\"0.00\", expect_size=\"39076864\"] \n  17 -> 19 [size =\"39076864\"]\n  18 [size=\"36922880\", alpha=\"0.17\", expect_size=\"14769152\"] \n  18 -> 20 [size =\"14769152\"]\n  19 [size=\"42846720\", alpha=\"0.18\", expect_size=\"17138688\"] \n  19 -> 21 [size =\"17138688\"]\n  20 [size=\"122736640\", alpha=\"0.04\", expect_size=\"49094656\"] \n  21 [size=\"69260800\", alpha=\"0.19\", expect_size=\"27704320\"] \n  21 -> 22 [size =\"27704320\"]\n  21 -> 23 [size =\"27704320\"]\n  22 [size=\"81797120\", alpha=\"0.14\", expect_size=\"32718848\"] \n  22 -> 24 [size =\"32718848\"]\n  22 -> 25 [size =\"32718848\"]\n  23 [size=\"124431360\", alpha=\"0.17\", expect_size=\"49772544\"] \n  24 [size=\"109378560\", alpha=\"0.02\", expect_size=\"43751424\"] \n  24 -> 26 [size =\"43751424\"]\n  25 [size=\"91343360\", alpha=\"0.08\", expect_size=\"36537344\"] \n  25 -> 27 [size =\"36537344\"]\n  26 [size=\"87444480\", alpha=\"0.04\", expect_size=\"34977792\"] \n  26 -> 28 [size =\"34977792\"]\n  27 [size=\"107842560\", alpha=\"0.20\", expect_size=\"43137024\"] \n  28 [size=\"109992960\", alpha=\"0.16\", expect_size=\"43997184\"] \n  28 -> 29 [size =\"43997184\"]\n  28 -> 30 [size =\"43997184\"]\n  29 [size=\"89459200\", alpha=\"0.10\", expect_size=\"35783680\"] \n  30 [size=\"80471040\", alpha=\"0.07\", expect_size=\"32188416\"] \n  30 -> 31 [size =\"32188416\"]\n  31 [size=\"105469440\", alpha=\"0.20\", expect_size=\"42187776\"] \n  31 -> 32 [size =\"42187776\"]\n  32 [size=\"98152960\", alpha=\"0.08\", expect_size=\"39261184\"] \n  32 -> 33 [size =\"39261184\"]\n  32 -> 34 [size =\"39261184\"]\n  33 [size=\"62668800\", alpha=\"0.05\", expect_size=\"25067520\"] \n  33 -> 35 [size =\"25067520\"]\n  34 [size=\"47316480\", alpha=\"0.20\", expect_size=\"18926592\"] \n  35 [size=\"60674560\", alpha=\"0.06\", expect_size=\"24269824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98754560\", alpha=\"0.15\", expect_size=\"49377280\"] \n  1 -> 2 [size =\"49377280\"]\n  2 [size=\"20871168\", alpha=\"0.19\", expect_size=\"10435584\"] \n  2 -> 3 [size =\"10435584\"]\n  3 [size=\"82829312\", alpha=\"0.05\", expect_size=\"41414656\"] \n  3 -> 4 [size =\"41414656\"]\n  4 [size=\"41674752\", alpha=\"0.20\", expect_size=\"20837376\"] \n  4 -> 5 [size =\"20837376\"]\n  5 [size=\"55926784\", alpha=\"0.05\", expect_size=\"27963392\"] \n  5 -> 6 [size =\"27963392\"]\n  6 [size=\"56981504\", alpha=\"0.17\", expect_size=\"28490752\"] \n  6 -> 7 [size =\"28490752\"]\n  7 [size=\"89110528\", alpha=\"0.18\", expect_size=\"44555264\"] \n  7 -> 8 [size =\"44555264\"]\n  8 [size=\"40992768\", alpha=\"0.19\", expect_size=\"20496384\"] \n  8 -> 9 [size =\"20496384\"]\n  9 [size=\"49514496\", alpha=\"0.01\", expect_size=\"24757248\"] \n  9 -> 10 [size =\"24757248\"]\n  10 [size=\"46651392\", alpha=\"0.02\", expect_size=\"23325696\"] \n  10 -> 11 [size =\"23325696\"]\n  11 [size=\"55640064\", alpha=\"0.04\", expect_size=\"27820032\"] \n  11 -> 12 [size =\"27820032\"]\n  12 [size=\"29966336\", alpha=\"0.19\", expect_size=\"14983168\"] \n  12 -> 13 [size =\"14983168\"]\n  13 [size=\"25847808\", alpha=\"0.02\", expect_size=\"12923904\"] \n  13 -> 14 [size =\"12923904\"]\n  14 [size=\"49526784\", alpha=\"0.07\", expect_size=\"24763392\"] \n  14 -> 15 [size =\"24763392\"]\n  15 [size=\"48697344\", alpha=\"0.05\", expect_size=\"24348672\"] \n  15 -> 16 [size =\"24348672\"]\n  16 [size=\"71106560\", alpha=\"0.03\", expect_size=\"35553280\"] \n  16 -> 17 [size =\"35553280\"]\n  17 [size=\"58382336\", alpha=\"0.17\", expect_size=\"29191168\"] \n  17 -> 18 [size =\"29191168\"]\n  18 [size=\"48934912\", alpha=\"0.15\", expect_size=\"24467456\"] \n  18 -> 19 [size =\"24467456\"]\n  19 [size=\"44601344\", alpha=\"0.15\", expect_size=\"22300672\"] \n  19 -> 20 [size =\"22300672\"]\n  20 [size=\"49934336\", alpha=\"0.14\", expect_size=\"24967168\"] \n  20 -> 21 [size =\"24967168\"]\n  21 [size=\"61339648\", alpha=\"0.11\", expect_size=\"30669824\"] \n  21 -> 22 [size =\"30669824\"]\n  22 [size=\"78481408\", alpha=\"0.11\", expect_size=\"39240704\"] \n  22 -> 23 [size =\"39240704\"]\n  23 [size=\"71602176\", alpha=\"0.06\", expect_size=\"35801088\"] \n  23 -> 24 [size =\"35801088\"]\n  24 [size=\"82972672\", alpha=\"0.07\", expect_size=\"41486336\"] \n  24 -> 25 [size =\"41486336\"]\n  25 [size=\"22675456\", alpha=\"0.19\", expect_size=\"11337728\"] \n  25 -> 26 [size =\"11337728\"]\n  26 [size=\"46794752\", alpha=\"0.20\", expect_size=\"23397376\"] \n  26 -> 27 [size =\"23397376\"]\n  27 [size=\"62099456\", alpha=\"0.17\", expect_size=\"31049728\"] \n  27 -> 28 [size =\"31049728\"]\n  28 [size=\"49635328\", alpha=\"0.01\", expect_size=\"24817664\"] \n  28 -> 29 [size =\"24817664\"]\n  29 [size=\"25575424\", alpha=\"0.14\", expect_size=\"12787712\"] \n  29 -> 30 [size =\"12787712\"]\n  30 [size=\"96985088\", alpha=\"0.14\", expect_size=\"48492544\"] \n  30 -> 31 [size =\"48492544\"]\n  31 [size=\"67887104\", alpha=\"0.04\", expect_size=\"33943552\"] \n  31 -> 32 [size =\"33943552\"]\n  32 [size=\"26556416\", alpha=\"0.17\", expect_size=\"13278208\"] \n  32 -> 33 [size =\"13278208\"]\n  33 [size=\"77748224\", alpha=\"0.14\", expect_size=\"38874112\"] \n  33 -> 34 [size =\"38874112\"]\n  34 [size=\"10692608\", alpha=\"0.20\", expect_size=\"5346304\"] \n  34 -> 35 [size =\"5346304\"]\n  35 [size=\"45322240\", alpha=\"0.13\", expect_size=\"22661120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57914880\", alpha=\"0.17\", expect_size=\"23165952\"] \n  1 -> 16 [size =\"23165952\"]\n  2 [size=\"103283200\", alpha=\"0.18\", expect_size=\"41313280\"] \n  2 -> 18 [size =\"41313280\"]\n  3 [size=\"33743360\", alpha=\"0.02\", expect_size=\"13497344\"] \n  3 -> 14 [size =\"13497344\"]\n  3 -> 17 [size =\"13497344\"]\n  3 -> 18 [size =\"13497344\"]\n  3 -> 19 [size =\"13497344\"]\n  3 -> 22 [size =\"13497344\"]\n  3 -> 23 [size =\"13497344\"]\n  4 [size=\"91745280\", alpha=\"0.03\", expect_size=\"36698112\"] \n  4 -> 17 [size =\"36698112\"]\n  4 -> 20 [size =\"36698112\"]\n  4 -> 21 [size =\"36698112\"]\n  4 -> 22 [size =\"36698112\"]\n  4 -> 23 [size =\"36698112\"]\n  5 [size=\"73623040\", alpha=\"0.03\", expect_size=\"29449216\"] \n  5 -> 16 [size =\"29449216\"]\n  5 -> 18 [size =\"29449216\"]\n  5 -> 20 [size =\"29449216\"]\n  6 [size=\"111383040\", alpha=\"0.15\", expect_size=\"44553216\"] \n  6 -> 14 [size =\"44553216\"]\n  6 -> 15 [size =\"44553216\"]\n  7 [size=\"100830720\", alpha=\"0.20\", expect_size=\"40332288\"] \n  7 -> 17 [size =\"40332288\"]\n  7 -> 20 [size =\"40332288\"]\n  7 -> 23 [size =\"40332288\"]\n  8 [size=\"124631040\", alpha=\"0.09\", expect_size=\"49852416\"] \n  8 -> 19 [size =\"49852416\"]\n  8 -> 21 [size =\"49852416\"]\n  9 [size=\"104043520\", alpha=\"0.07\", expect_size=\"41617408\"] \n  9 -> 12 [size =\"41617408\"]\n  9 -> 16 [size =\"41617408\"]\n  9 -> 19 [size =\"41617408\"]\n  10 [size=\"115202560\", alpha=\"0.08\", expect_size=\"46081024\"] \n  10 -> 13 [size =\"46081024\"]\n  10 -> 14 [size =\"46081024\"]\n  10 -> 15 [size =\"46081024\"]\n  10 -> 17 [size =\"46081024\"]\n  10 -> 21 [size =\"46081024\"]\n  10 -> 22 [size =\"46081024\"]\n  10 -> 23 [size =\"46081024\"]\n  11 [size=\"28372480\", alpha=\"0.17\", expect_size=\"11348992\"] \n  11 -> 16 [size =\"11348992\"]\n  11 -> 17 [size =\"11348992\"]\n  11 -> 19 [size =\"11348992\"]\n  12 [size=\"128934400\", alpha=\"0.02\", expect_size=\"51573760\"] \n  12 -> 25 [size =\"51573760\"]\n  12 -> 26 [size =\"51573760\"]\n  13 [size=\"116549120\", alpha=\"0.08\", expect_size=\"46619648\"] \n  13 -> 26 [size =\"46619648\"]\n  13 -> 27 [size =\"46619648\"]\n  13 -> 28 [size =\"46619648\"]\n  13 -> 29 [size =\"46619648\"]\n  13 -> 30 [size =\"46619648\"]\n  14 [size=\"127623680\", alpha=\"0.08\", expect_size=\"51049472\"] \n  14 -> 28 [size =\"51049472\"]\n  14 -> 30 [size =\"51049472\"]\n  15 [size=\"28019200\", alpha=\"0.12\", expect_size=\"11207680\"] \n  15 -> 30 [size =\"11207680\"]\n  16 [size=\"43141120\", alpha=\"0.05\", expect_size=\"17256448\"] \n  16 -> 26 [size =\"17256448\"]\n  17 [size=\"129369600\", alpha=\"0.06\", expect_size=\"51747840\"] \n  17 -> 26 [size =\"51747840\"]\n  17 -> 30 [size =\"51747840\"]\n  17 -> 31 [size =\"51747840\"]\n  18 [size=\"127943680\", alpha=\"0.08\", expect_size=\"51177472\"] \n  18 -> 24 [size =\"51177472\"]\n  18 -> 26 [size =\"51177472\"]\n  18 -> 28 [size =\"51177472\"]\n  18 -> 33 [size =\"51177472\"]\n  19 [size=\"61688320\", alpha=\"0.13\", expect_size=\"24675328\"] \n  19 -> 24 [size =\"24675328\"]\n  19 -> 28 [size =\"24675328\"]\n  20 [size=\"100216320\", alpha=\"0.11\", expect_size=\"40086528\"] \n  20 -> 25 [size =\"40086528\"]\n  20 -> 28 [size =\"40086528\"]\n  20 -> 29 [size =\"40086528\"]\n  20 -> 30 [size =\"40086528\"]\n  21 [size=\"28582400\", alpha=\"0.16\", expect_size=\"11432960\"] \n  21 -> 24 [size =\"11432960\"]\n  21 -> 32 [size =\"11432960\"]\n  22 [size=\"126456320\", alpha=\"0.16\", expect_size=\"50582528\"] \n  22 -> 25 [size =\"50582528\"]\n  22 -> 33 [size =\"50582528\"]\n  23 [size=\"23137280\", alpha=\"0.20\", expect_size=\"9254912\"] \n  23 -> 25 [size =\"9254912\"]\n  23 -> 26 [size =\"9254912\"]\n  23 -> 28 [size =\"9254912\"]\n  23 -> 31 [size =\"9254912\"]\n  24 [size=\"69685760\", alpha=\"0.17\", expect_size=\"27874304\"] \n  24 -> 35 [size =\"27874304\"]\n  25 [size=\"119682560\", alpha=\"0.05\", expect_size=\"47873024\"] \n  26 [size=\"73093120\", alpha=\"0.09\", expect_size=\"29237248\"] \n  27 [size=\"103841280\", alpha=\"0.08\", expect_size=\"41536512\"] \n  27 -> 35 [size =\"41536512\"]\n  28 [size=\"21370880\", alpha=\"0.06\", expect_size=\"8548352\"] \n  29 [size=\"67453440\", alpha=\"0.19\", expect_size=\"26981376\"] \n  30 [size=\"26362880\", alpha=\"0.10\", expect_size=\"10545152\"] \n  30 -> 35 [size =\"10545152\"]\n  31 [size=\"88606720\", alpha=\"0.03\", expect_size=\"35442688\"] \n  31 -> 34 [size =\"35442688\"]\n  32 [size=\"63060480\", alpha=\"0.16\", expect_size=\"25224192\"] \n  33 [size=\"39907840\", alpha=\"0.06\", expect_size=\"15963136\"] \n  34 [size=\"39782400\", alpha=\"0.16\", expect_size=\"15912960\"] \n  35 [size=\"23360000\", alpha=\"0.09\", expect_size=\"9344000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105605120\", alpha=\"0.18\", expect_size=\"42242048\"] \n  1 -> 2 [size =\"42242048\"]\n  2 [size=\"73423360\", alpha=\"0.09\", expect_size=\"29369344\"] \n  2 -> 3 [size =\"29369344\"]\n  2 -> 4 [size =\"29369344\"]\n  3 [size=\"118243840\", alpha=\"0.16\", expect_size=\"47297536\"] \n  4 [size=\"52395520\", alpha=\"0.14\", expect_size=\"20958208\"] \n  4 -> 5 [size =\"20958208\"]\n  4 -> 6 [size =\"20958208\"]\n  5 [size=\"22766080\", alpha=\"0.15\", expect_size=\"9106432\"] \n  5 -> 8 [size =\"9106432\"]\n  6 [size=\"123709440\", alpha=\"0.06\", expect_size=\"49483776\"] \n  6 -> 7 [size =\"49483776\"]\n  7 [size=\"87784960\", alpha=\"0.04\", expect_size=\"35113984\"] \n  8 [size=\"119900160\", alpha=\"0.06\", expect_size=\"47960064\"] \n  8 -> 9 [size =\"47960064\"]\n  9 [size=\"46627840\", alpha=\"0.06\", expect_size=\"18651136\"] \n  9 -> 10 [size =\"18651136\"]\n  10 [size=\"124503040\", alpha=\"0.03\", expect_size=\"49801216\"] \n  10 -> 11 [size =\"49801216\"]\n  10 -> 12 [size =\"49801216\"]\n  11 [size=\"83632640\", alpha=\"0.02\", expect_size=\"33453056\"] \n  12 [size=\"72936960\", alpha=\"0.09\", expect_size=\"29174784\"] \n  12 -> 13 [size =\"29174784\"]\n  13 [size=\"127498240\", alpha=\"0.00\", expect_size=\"50999296\"] \n  13 -> 14 [size =\"50999296\"]\n  13 -> 15 [size =\"50999296\"]\n  14 [size=\"100989440\", alpha=\"0.05\", expect_size=\"40395776\"] \n  14 -> 16 [size =\"40395776\"]\n  15 [size=\"63367680\", alpha=\"0.17\", expect_size=\"25347072\"] \n  15 -> 17 [size =\"25347072\"]\n  16 [size=\"34767360\", alpha=\"0.18\", expect_size=\"13906944\"] \n  17 [size=\"73006080\", alpha=\"0.10\", expect_size=\"29202432\"] \n  17 -> 18 [size =\"29202432\"]\n  17 -> 19 [size =\"29202432\"]\n  18 [size=\"99338240\", alpha=\"0.03\", expect_size=\"39735296\"] \n  18 -> 20 [size =\"39735296\"]\n  18 -> 21 [size =\"39735296\"]\n  19 [size=\"16893440\", alpha=\"0.10\", expect_size=\"6757376\"] \n  20 [size=\"54551040\", alpha=\"0.12\", expect_size=\"21820416\"] \n  20 -> 22 [size =\"21820416\"]\n  21 [size=\"73738240\", alpha=\"0.11\", expect_size=\"29495296\"] \n  22 [size=\"87226880\", alpha=\"0.20\", expect_size=\"34890752\"] \n  22 -> 23 [size =\"34890752\"]\n  23 [size=\"22205440\", alpha=\"0.06\", expect_size=\"8882176\"] \n  23 -> 24 [size =\"8882176\"]\n  24 [size=\"23767040\", alpha=\"0.20\", expect_size=\"9506816\"] \n  24 -> 25 [size =\"9506816\"]\n  25 [size=\"53219840\", alpha=\"0.14\", expect_size=\"21287936\"] \n  25 -> 26 [size =\"21287936\"]\n  25 -> 27 [size =\"21287936\"]\n  26 [size=\"37332480\", alpha=\"0.08\", expect_size=\"14932992\"] \n  26 -> 28 [size =\"14932992\"]\n  27 [size=\"24023040\", alpha=\"0.14\", expect_size=\"9609216\"] \n  28 [size=\"83489280\", alpha=\"0.19\", expect_size=\"33395712\"] \n  28 -> 29 [size =\"33395712\"]\n  28 -> 30 [size =\"33395712\"]\n  29 [size=\"99340800\", alpha=\"0.09\", expect_size=\"39736320\"] \n  29 -> 32 [size =\"39736320\"]\n  30 [size=\"37475840\", alpha=\"0.18\", expect_size=\"14990336\"] \n  30 -> 31 [size =\"14990336\"]\n  31 [size=\"110425600\", alpha=\"0.19\", expect_size=\"44170240\"] \n  31 -> 33 [size =\"44170240\"]\n  31 -> 34 [size =\"44170240\"]\n  32 [size=\"56796160\", alpha=\"0.10\", expect_size=\"22718464\"] \n  33 [size=\"54868480\", alpha=\"0.00\", expect_size=\"21947392\"] \n  33 -> 35 [size =\"21947392\"]\n  34 [size=\"91816960\", alpha=\"0.06\", expect_size=\"36726784\"] \n  35 [size=\"88965120\", alpha=\"0.20\", expect_size=\"35586048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21178368\", alpha=\"0.16\", expect_size=\"10589184\"] \n  1 -> 11 [size =\"10589184\"]\n  1 -> 13 [size =\"10589184\"]\n  1 -> 15 [size =\"10589184\"]\n  1 -> 21 [size =\"10589184\"]\n  2 [size=\"99332096\", alpha=\"0.05\", expect_size=\"49666048\"] \n  2 -> 12 [size =\"49666048\"]\n  2 -> 13 [size =\"49666048\"]\n  2 -> 15 [size =\"49666048\"]\n  2 -> 17 [size =\"49666048\"]\n  2 -> 21 [size =\"49666048\"]\n  3 [size=\"77418496\", alpha=\"0.14\", expect_size=\"38709248\"] \n  3 -> 9 [size =\"38709248\"]\n  3 -> 12 [size =\"38709248\"]\n  3 -> 13 [size =\"38709248\"]\n  3 -> 16 [size =\"38709248\"]\n  3 -> 17 [size =\"38709248\"]\n  3 -> 21 [size =\"38709248\"]\n  4 [size=\"92553216\", alpha=\"0.10\", expect_size=\"46276608\"] \n  4 -> 10 [size =\"46276608\"]\n  4 -> 11 [size =\"46276608\"]\n  4 -> 13 [size =\"46276608\"]\n  4 -> 17 [size =\"46276608\"]\n  4 -> 19 [size =\"46276608\"]\n  5 [size=\"79826944\", alpha=\"0.08\", expect_size=\"39913472\"] \n  5 -> 11 [size =\"39913472\"]\n  5 -> 17 [size =\"39913472\"]\n  5 -> 20 [size =\"39913472\"]\n  6 [size=\"102514688\", alpha=\"0.19\", expect_size=\"51257344\"] \n  6 -> 12 [size =\"51257344\"]\n  6 -> 17 [size =\"51257344\"]\n  6 -> 18 [size =\"51257344\"]\n  7 [size=\"15104000\", alpha=\"0.08\", expect_size=\"7552000\"] \n  7 -> 10 [size =\"7552000\"]\n  7 -> 11 [size =\"7552000\"]\n  7 -> 13 [size =\"7552000\"]\n  7 -> 14 [size =\"7552000\"]\n  7 -> 19 [size =\"7552000\"]\n  8 [size=\"91258880\", alpha=\"0.04\", expect_size=\"45629440\"] \n  8 -> 9 [size =\"45629440\"]\n  8 -> 10 [size =\"45629440\"]\n  8 -> 12 [size =\"45629440\"]\n  8 -> 13 [size =\"45629440\"]\n  8 -> 14 [size =\"45629440\"]\n  8 -> 15 [size =\"45629440\"]\n  8 -> 17 [size =\"45629440\"]\n  8 -> 20 [size =\"45629440\"]\n  9 [size=\"70258688\", alpha=\"0.06\", expect_size=\"35129344\"] \n  9 -> 22 [size =\"35129344\"]\n  9 -> 23 [size =\"35129344\"]\n  9 -> 26 [size =\"35129344\"]\n  9 -> 29 [size =\"35129344\"]\n  9 -> 30 [size =\"35129344\"]\n  10 [size=\"72804352\", alpha=\"0.11\", expect_size=\"36402176\"] \n  10 -> 22 [size =\"36402176\"]\n  10 -> 23 [size =\"36402176\"]\n  10 -> 26 [size =\"36402176\"]\n  10 -> 27 [size =\"36402176\"]\n  10 -> 30 [size =\"36402176\"]\n  11 [size=\"76867584\", alpha=\"0.18\", expect_size=\"38433792\"] \n  11 -> 22 [size =\"38433792\"]\n  11 -> 27 [size =\"38433792\"]\n  11 -> 29 [size =\"38433792\"]\n  12 [size=\"57526272\", alpha=\"0.08\", expect_size=\"28763136\"] \n  12 -> 24 [size =\"28763136\"]\n  12 -> 27 [size =\"28763136\"]\n  12 -> 28 [size =\"28763136\"]\n  12 -> 29 [size =\"28763136\"]\n  12 -> 30 [size =\"28763136\"]\n  12 -> 31 [size =\"28763136\"]\n  13 [size=\"79413248\", alpha=\"0.06\", expect_size=\"39706624\"] \n  13 -> 27 [size =\"39706624\"]\n  13 -> 27 [size =\"39706624\"]\n  13 -> 29 [size =\"39706624\"]\n  14 [size=\"50823168\", alpha=\"0.16\", expect_size=\"25411584\"] \n  14 -> 23 [size =\"25411584\"]\n  14 -> 24 [size =\"25411584\"]\n  14 -> 27 [size =\"25411584\"]\n  14 -> 29 [size =\"25411584\"]\n  14 -> 30 [size =\"25411584\"]\n  14 -> 31 [size =\"25411584\"]\n  15 [size=\"97228800\", alpha=\"0.11\", expect_size=\"48614400\"] \n  15 -> 23 [size =\"48614400\"]\n  15 -> 26 [size =\"48614400\"]\n  15 -> 27 [size =\"48614400\"]\n  15 -> 30 [size =\"48614400\"]\n  16 [size=\"40443904\", alpha=\"0.19\", expect_size=\"20221952\"] \n  16 -> 27 [size =\"20221952\"]\n  16 -> 28 [size =\"20221952\"]\n  16 -> 30 [size =\"20221952\"]\n  16 -> 31 [size =\"20221952\"]\n  17 [size=\"35221504\", alpha=\"0.20\", expect_size=\"17610752\"] \n  17 -> 22 [size =\"17610752\"]\n  17 -> 26 [size =\"17610752\"]\n  18 [size=\"73197568\", alpha=\"0.08\", expect_size=\"36598784\"] \n  18 -> 23 [size =\"36598784\"]\n  18 -> 27 [size =\"36598784\"]\n  18 -> 29 [size =\"36598784\"]\n  18 -> 30 [size =\"36598784\"]\n  19 [size=\"93538304\", alpha=\"0.08\", expect_size=\"46769152\"] \n  19 -> 25 [size =\"46769152\"]\n  19 -> 26 [size =\"46769152\"]\n  19 -> 28 [size =\"46769152\"]\n  19 -> 29 [size =\"46769152\"]\n  20 [size=\"26036224\", alpha=\"0.04\", expect_size=\"13018112\"] \n  20 -> 22 [size =\"13018112\"]\n  20 -> 24 [size =\"13018112\"]\n  20 -> 27 [size =\"13018112\"]\n  20 -> 29 [size =\"13018112\"]\n  20 -> 30 [size =\"13018112\"]\n  21 [size=\"78862336\", alpha=\"0.01\", expect_size=\"39431168\"] \n  21 -> 22 [size =\"39431168\"]\n  21 -> 26 [size =\"39431168\"]\n  21 -> 30 [size =\"39431168\"]\n  22 [size=\"67340288\", alpha=\"0.18\", expect_size=\"33670144\"] \n  22 -> 33 [size =\"33670144\"]\n  23 [size=\"104310784\", alpha=\"0.09\", expect_size=\"52155392\"] \n  23 -> 32 [size =\"52155392\"]\n  23 -> 33 [size =\"52155392\"]\n  24 [size=\"38873088\", alpha=\"0.17\", expect_size=\"19436544\"] \n  24 -> 34 [size =\"19436544\"]\n  24 -> 35 [size =\"19436544\"]\n  25 [size=\"19836928\", alpha=\"0.19\", expect_size=\"9918464\"] \n  25 -> 35 [size =\"9918464\"]\n  26 [size=\"70014976\", alpha=\"0.02\", expect_size=\"35007488\"] \n  26 -> 35 [size =\"35007488\"]\n  27 [size=\"67258368\", alpha=\"0.05\", expect_size=\"33629184\"] \n  27 -> 32 [size =\"33629184\"]\n  27 -> 33 [size =\"33629184\"]\n  27 -> 35 [size =\"33629184\"]\n  28 [size=\"66144256\", alpha=\"0.05\", expect_size=\"33072128\"] \n  28 -> 32 [size =\"33072128\"]\n  29 [size=\"104658944\", alpha=\"0.18\", expect_size=\"52329472\"] \n  29 -> 32 [size =\"52329472\"]\n  29 -> 33 [size =\"52329472\"]\n  29 -> 35 [size =\"52329472\"]\n  30 [size=\"49328128\", alpha=\"0.05\", expect_size=\"24664064\"] \n  30 -> 32 [size =\"24664064\"]\n  30 -> 33 [size =\"24664064\"]\n  30 -> 35 [size =\"24664064\"]\n  31 [size=\"66717696\", alpha=\"0.05\", expect_size=\"33358848\"] \n  31 -> 32 [size =\"33358848\"]\n  32 [size=\"73150464\", alpha=\"0.15\", expect_size=\"36575232\"] \n  33 [size=\"63100928\", alpha=\"0.00\", expect_size=\"31550464\"] \n  34 [size=\"103505920\", alpha=\"0.14\", expect_size=\"51752960\"] \n  35 [size=\"87685120\", alpha=\"0.05\", expect_size=\"43842560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22468608\", alpha=\"0.05\", expect_size=\"11234304\"] \n  2 [size=\"80435200\", alpha=\"0.10\", expect_size=\"40217600\"] \n  2 -> 5 [size =\"40217600\"]\n  2 -> 6 [size =\"40217600\"]\n  3 [size=\"102785024\", alpha=\"0.12\", expect_size=\"51392512\"] \n  3 -> 8 [size =\"51392512\"]\n  4 [size=\"82753536\", alpha=\"0.16\", expect_size=\"41376768\"] \n  4 -> 5 [size =\"41376768\"]\n  4 -> 7 [size =\"41376768\"]\n  4 -> 8 [size =\"41376768\"]\n  4 -> 9 [size =\"41376768\"]\n  5 [size=\"18825216\", alpha=\"0.19\", expect_size=\"9412608\"] \n  5 -> 13 [size =\"9412608\"]\n  6 [size=\"82702336\", alpha=\"0.06\", expect_size=\"41351168\"] \n  6 -> 13 [size =\"41351168\"]\n  7 [size=\"90341376\", alpha=\"0.07\", expect_size=\"45170688\"] \n  7 -> 10 [size =\"45170688\"]\n  7 -> 12 [size =\"45170688\"]\n  7 -> 13 [size =\"45170688\"]\n  7 -> 14 [size =\"45170688\"]\n  8 [size=\"23830528\", alpha=\"0.11\", expect_size=\"11915264\"] \n  8 -> 10 [size =\"11915264\"]\n  9 [size=\"79777792\", alpha=\"0.15\", expect_size=\"39888896\"] \n  9 -> 10 [size =\"39888896\"]\n  9 -> 11 [size =\"39888896\"]\n  10 [size=\"31027200\", alpha=\"0.06\", expect_size=\"15513600\"] \n  10 -> 16 [size =\"15513600\"]\n  10 -> 18 [size =\"15513600\"]\n  11 [size=\"34232320\", alpha=\"0.04\", expect_size=\"17116160\"] \n  12 [size=\"56045568\", alpha=\"0.14\", expect_size=\"28022784\"] \n  12 -> 16 [size =\"28022784\"]\n  12 -> 18 [size =\"28022784\"]\n  13 [size=\"101033984\", alpha=\"0.12\", expect_size=\"50516992\"] \n  13 -> 15 [size =\"50516992\"]\n  13 -> 17 [size =\"50516992\"]\n  14 [size=\"63496192\", alpha=\"0.18\", expect_size=\"31748096\"] \n  14 -> 18 [size =\"31748096\"]\n  15 [size=\"44996608\", alpha=\"0.09\", expect_size=\"22498304\"] \n  15 -> 20 [size =\"22498304\"]\n  15 -> 21 [size =\"22498304\"]\n  16 [size=\"41287680\", alpha=\"0.16\", expect_size=\"20643840\"] \n  16 -> 21 [size =\"20643840\"]\n  17 [size=\"71657472\", alpha=\"0.09\", expect_size=\"35828736\"] \n  17 -> 19 [size =\"35828736\"]\n  17 -> 22 [size =\"35828736\"]\n  18 [size=\"102526976\", alpha=\"0.09\", expect_size=\"51263488\"] \n  19 [size=\"62173184\", alpha=\"0.07\", expect_size=\"31086592\"] \n  19 -> 27 [size =\"31086592\"]\n  20 [size=\"39288832\", alpha=\"0.01\", expect_size=\"19644416\"] \n  20 -> 23 [size =\"19644416\"]\n  21 [size=\"65409024\", alpha=\"0.16\", expect_size=\"32704512\"] \n  21 -> 24 [size =\"32704512\"]\n  21 -> 26 [size =\"32704512\"]\n  22 [size=\"82450432\", alpha=\"0.07\", expect_size=\"41225216\"] \n  22 -> 23 [size =\"41225216\"]\n  22 -> 25 [size =\"41225216\"]\n  22 -> 26 [size =\"41225216\"]\n  23 [size=\"52557824\", alpha=\"0.18\", expect_size=\"26278912\"] \n  23 -> 28 [size =\"26278912\"]\n  23 -> 29 [size =\"26278912\"]\n  23 -> 30 [size =\"26278912\"]\n  23 -> 31 [size =\"26278912\"]\n  23 -> 32 [size =\"26278912\"]\n  24 [size=\"14604288\", alpha=\"0.03\", expect_size=\"7302144\"] \n  24 -> 28 [size =\"7302144\"]\n  24 -> 30 [size =\"7302144\"]\n  24 -> 31 [size =\"7302144\"]\n  25 [size=\"98297856\", alpha=\"0.10\", expect_size=\"49148928\"] \n  25 -> 32 [size =\"49148928\"]\n  26 [size=\"45928448\", alpha=\"0.13\", expect_size=\"22964224\"] \n  26 -> 32 [size =\"22964224\"]\n  27 [size=\"28256256\", alpha=\"0.13\", expect_size=\"14128128\"] \n  27 -> 28 [size =\"14128128\"]\n  27 -> 31 [size =\"14128128\"]\n  28 [size=\"68507648\", alpha=\"0.15\", expect_size=\"34253824\"] \n  28 -> 34 [size =\"34253824\"]\n  29 [size=\"16771072\", alpha=\"0.12\", expect_size=\"8385536\"] \n  29 -> 33 [size =\"8385536\"]\n  29 -> 35 [size =\"8385536\"]\n  30 [size=\"50638848\", alpha=\"0.14\", expect_size=\"25319424\"] \n  31 [size=\"53239808\", alpha=\"0.00\", expect_size=\"26619904\"] \n  31 -> 33 [size =\"26619904\"]\n  32 [size=\"36556800\", alpha=\"0.17\", expect_size=\"18278400\"] \n  32 -> 35 [size =\"18278400\"]\n  33 [size=\"70541312\", alpha=\"0.12\", expect_size=\"35270656\"] \n  34 [size=\"58748928\", alpha=\"0.18\", expect_size=\"29374464\"] \n  35 [size=\"73449472\", alpha=\"0.12\", expect_size=\"36724736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173626027\", alpha=\"0.17\", expect_size=\"52087808\"] \n  1 -> 27 [size =\"52087808\"]\n  1 -> 29 [size =\"52087808\"]\n  1 -> 30 [size =\"52087808\"]\n  2 [size=\"50507093\", alpha=\"0.03\", expect_size=\"15152128\"] \n  2 -> 27 [size =\"15152128\"]\n  2 -> 28 [size =\"15152128\"]\n  2 -> 29 [size =\"15152128\"]\n  2 -> 30 [size =\"15152128\"]\n  2 -> 32 [size =\"15152128\"]\n  3 [size=\"134830080\", alpha=\"0.05\", expect_size=\"40449024\"] \n  3 -> 27 [size =\"40449024\"]\n  3 -> 28 [size =\"40449024\"]\n  3 -> 29 [size =\"40449024\"]\n  3 -> 32 [size =\"40449024\"]\n  3 -> 35 [size =\"40449024\"]\n  4 [size=\"29238613\", alpha=\"0.02\", expect_size=\"8771584\"] \n  4 -> 28 [size =\"8771584\"]\n  4 -> 29 [size =\"8771584\"]\n  4 -> 30 [size =\"8771584\"]\n  4 -> 32 [size =\"8771584\"]\n  5 [size=\"91866453\", alpha=\"0.20\", expect_size=\"27559936\"] \n  5 -> 27 [size =\"27559936\"]\n  5 -> 28 [size =\"27559936\"]\n  5 -> 32 [size =\"27559936\"]\n  6 [size=\"144619520\", alpha=\"0.03\", expect_size=\"43385856\"] \n  6 -> 27 [size =\"43385856\"]\n  6 -> 29 [size =\"43385856\"]\n  6 -> 31 [size =\"43385856\"]\n  6 -> 35 [size =\"43385856\"]\n  7 [size=\"56780800\", alpha=\"0.18\", expect_size=\"17034240\"] \n  7 -> 27 [size =\"17034240\"]\n  7 -> 28 [size =\"17034240\"]\n  7 -> 31 [size =\"17034240\"]\n  8 [size=\"21804373\", alpha=\"0.06\", expect_size=\"6541312\"] \n  8 -> 27 [size =\"6541312\"]\n  8 -> 30 [size =\"6541312\"]\n  8 -> 31 [size =\"6541312\"]\n  9 [size=\"63030613\", alpha=\"0.01\", expect_size=\"18909184\"] \n  9 -> 29 [size =\"18909184\"]\n  9 -> 30 [size =\"18909184\"]\n  9 -> 31 [size =\"18909184\"]\n  9 -> 34 [size =\"18909184\"]\n  10 [size=\"64283307\", alpha=\"0.00\", expect_size=\"19284992\"] \n  10 -> 31 [size =\"19284992\"]\n  10 -> 34 [size =\"19284992\"]\n  11 [size=\"52394667\", alpha=\"0.17\", expect_size=\"15718400\"] \n  11 -> 27 [size =\"15718400\"]\n  11 -> 30 [size =\"15718400\"]\n  11 -> 31 [size =\"15718400\"]\n  12 [size=\"30044160\", alpha=\"0.12\", expect_size=\"9013248\"] \n  12 -> 27 [size =\"9013248\"]\n  12 -> 28 [size =\"9013248\"]\n  12 -> 29 [size =\"9013248\"]\n  12 -> 30 [size =\"9013248\"]\n  12 -> 34 [size =\"9013248\"]\n  13 [size=\"50746027\", alpha=\"0.03\", expect_size=\"15223808\"] \n  13 -> 29 [size =\"15223808\"]\n  13 -> 30 [size =\"15223808\"]\n  14 [size=\"91497813\", alpha=\"0.20\", expect_size=\"27449344\"] \n  14 -> 29 [size =\"27449344\"]\n  14 -> 30 [size =\"27449344\"]\n  14 -> 31 [size =\"27449344\"]\n  14 -> 32 [size =\"27449344\"]\n  14 -> 33 [size =\"27449344\"]\n  15 [size=\"105803093\", alpha=\"0.16\", expect_size=\"31740928\"] \n  15 -> 29 [size =\"31740928\"]\n  15 -> 31 [size =\"31740928\"]\n  15 -> 33 [size =\"31740928\"]\n  16 [size=\"102365867\", alpha=\"0.10\", expect_size=\"30709760\"] \n  16 -> 29 [size =\"30709760\"]\n  16 -> 30 [size =\"30709760\"]\n  16 -> 31 [size =\"30709760\"]\n  16 -> 34 [size =\"30709760\"]\n  16 -> 35 [size =\"30709760\"]\n  17 [size=\"124808533\", alpha=\"0.14\", expect_size=\"37442560\"] \n  17 -> 29 [size =\"37442560\"]\n  17 -> 30 [size =\"37442560\"]\n  17 -> 31 [size =\"37442560\"]\n  17 -> 32 [size =\"37442560\"]\n  17 -> 33 [size =\"37442560\"]\n  18 [size=\"106591573\", alpha=\"0.01\", expect_size=\"31977472\"] \n  18 -> 27 [size =\"31977472\"]\n  18 -> 28 [size =\"31977472\"]\n  18 -> 32 [size =\"31977472\"]\n  19 [size=\"154033493\", alpha=\"0.01\", expect_size=\"46210048\"] \n  19 -> 28 [size =\"46210048\"]\n  19 -> 29 [size =\"46210048\"]\n  19 -> 31 [size =\"46210048\"]\n  20 [size=\"159901013\", alpha=\"0.07\", expect_size=\"47970304\"] \n  20 -> 28 [size =\"47970304\"]\n  20 -> 30 [size =\"47970304\"]\n  21 [size=\"160532480\", alpha=\"0.13\", expect_size=\"48159744\"] \n  21 -> 29 [size =\"48159744\"]\n  21 -> 33 [size =\"48159744\"]\n  22 [size=\"134557013\", alpha=\"0.02\", expect_size=\"40367104\"] \n  23 [size=\"68932267\", alpha=\"0.07\", expect_size=\"20679680\"] \n  23 -> 27 [size =\"20679680\"]\n  23 -> 28 [size =\"20679680\"]\n  23 -> 31 [size =\"20679680\"]\n  24 [size=\"94699520\", alpha=\"0.13\", expect_size=\"28409856\"] \n  24 -> 27 [size =\"28409856\"]\n  24 -> 31 [size =\"28409856\"]\n  24 -> 31 [size =\"28409856\"]\n  24 -> 32 [size =\"28409856\"]\n  24 -> 33 [size =\"28409856\"]\n  25 [size=\"91330560\", alpha=\"0.09\", expect_size=\"27399168\"] \n  25 -> 28 [size =\"27399168\"]\n  25 -> 33 [size =\"27399168\"]\n  26 [size=\"63610880\", alpha=\"0.01\", expect_size=\"19083264\"] \n  26 -> 27 [size =\"19083264\"]\n  26 -> 28 [size =\"19083264\"]\n  26 -> 29 [size =\"19083264\"]\n  26 -> 34 [size =\"19083264\"]\n  27 [size=\"144281600\", alpha=\"0.18\", expect_size=\"43284480\"] \n  28 [size=\"96481280\", alpha=\"0.15\", expect_size=\"28944384\"] \n  29 [size=\"103205547\", alpha=\"0.18\", expect_size=\"30961664\"] \n  30 [size=\"114428587\", alpha=\"0.07\", expect_size=\"34328576\"] \n  31 [size=\"170615467\", alpha=\"0.01\", expect_size=\"51184640\"] \n  32 [size=\"113346560\", alpha=\"0.16\", expect_size=\"34003968\"] \n  33 [size=\"132942507\", alpha=\"0.15\", expect_size=\"39882752\"] \n  34 [size=\"32180907\", alpha=\"0.04\", expect_size=\"9654272\"] \n  35 [size=\"137403733\", alpha=\"0.04\", expect_size=\"41221120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42600960\", alpha=\"0.18\", expect_size=\"17040384\"] \n  1 -> 2 [size =\"17040384\"]\n  1 -> 3 [size =\"17040384\"]\n  2 [size=\"96870400\", alpha=\"0.00\", expect_size=\"38748160\"] \n  3 [size=\"118228480\", alpha=\"0.02\", expect_size=\"47291392\"] \n  3 -> 4 [size =\"47291392\"]\n  4 [size=\"114485760\", alpha=\"0.05\", expect_size=\"45794304\"] \n  4 -> 5 [size =\"45794304\"]\n  4 -> 6 [size =\"45794304\"]\n  5 [size=\"51581440\", alpha=\"0.02\", expect_size=\"20632576\"] \n  5 -> 7 [size =\"20632576\"]\n  5 -> 8 [size =\"20632576\"]\n  6 [size=\"80696320\", alpha=\"0.10\", expect_size=\"32278528\"] \n  7 [size=\"35082240\", alpha=\"0.09\", expect_size=\"14032896\"] \n  7 -> 9 [size =\"14032896\"]\n  8 [size=\"65745920\", alpha=\"0.16\", expect_size=\"26298368\"] \n  9 [size=\"15093760\", alpha=\"0.04\", expect_size=\"6037504\"] \n  9 -> 10 [size =\"6037504\"]\n  10 [size=\"48857600\", alpha=\"0.19\", expect_size=\"19543040\"] \n  10 -> 11 [size =\"19543040\"]\n  10 -> 12 [size =\"19543040\"]\n  11 [size=\"25259520\", alpha=\"0.13\", expect_size=\"10103808\"] \n  11 -> 14 [size =\"10103808\"]\n  12 [size=\"15001600\", alpha=\"0.02\", expect_size=\"6000640\"] \n  12 -> 13 [size =\"6000640\"]\n  13 [size=\"16268800\", alpha=\"0.05\", expect_size=\"6507520\"] \n  14 [size=\"29009920\", alpha=\"0.03\", expect_size=\"11603968\"] \n  14 -> 15 [size =\"11603968\"]\n  15 [size=\"59532800\", alpha=\"0.15\", expect_size=\"23813120\"] \n  15 -> 16 [size =\"23813120\"]\n  16 [size=\"73072640\", alpha=\"0.13\", expect_size=\"29229056\"] \n  16 -> 17 [size =\"29229056\"]\n  17 [size=\"15513600\", alpha=\"0.14\", expect_size=\"6205440\"] \n  17 -> 18 [size =\"6205440\"]\n  17 -> 19 [size =\"6205440\"]\n  18 [size=\"70561280\", alpha=\"0.03\", expect_size=\"28224512\"] \n  18 -> 20 [size =\"28224512\"]\n  19 [size=\"47147520\", alpha=\"0.20\", expect_size=\"18859008\"] \n  20 [size=\"69980160\", alpha=\"0.03\", expect_size=\"27992064\"] \n  20 -> 21 [size =\"27992064\"]\n  20 -> 22 [size =\"27992064\"]\n  21 [size=\"65256960\", alpha=\"0.11\", expect_size=\"26102784\"] \n  21 -> 23 [size =\"26102784\"]\n  22 [size=\"25704960\", alpha=\"0.13\", expect_size=\"10281984\"] \n  23 [size=\"35640320\", alpha=\"0.13\", expect_size=\"14256128\"] \n  23 -> 24 [size =\"14256128\"]\n  24 [size=\"65423360\", alpha=\"0.10\", expect_size=\"26169344\"] \n  24 -> 25 [size =\"26169344\"]\n  25 [size=\"82457600\", alpha=\"0.14\", expect_size=\"32983040\"] \n  25 -> 26 [size =\"32983040\"]\n  25 -> 27 [size =\"32983040\"]\n  26 [size=\"53562880\", alpha=\"0.09\", expect_size=\"21425152\"] \n  27 [size=\"129067520\", alpha=\"0.08\", expect_size=\"51627008\"] \n  27 -> 28 [size =\"51627008\"]\n  28 [size=\"95439360\", alpha=\"0.16\", expect_size=\"38175744\"] \n  28 -> 29 [size =\"38175744\"]\n  29 [size=\"110241280\", alpha=\"0.05\", expect_size=\"44096512\"] \n  29 -> 30 [size =\"44096512\"]\n  30 [size=\"109706240\", alpha=\"0.19\", expect_size=\"43882496\"] \n  30 -> 31 [size =\"43882496\"]\n  31 [size=\"127024640\", alpha=\"0.15\", expect_size=\"50809856\"] \n  31 -> 32 [size =\"50809856\"]\n  31 -> 33 [size =\"50809856\"]\n  32 [size=\"73720320\", alpha=\"0.12\", expect_size=\"29488128\"] \n  32 -> 34 [size =\"29488128\"]\n  32 -> 35 [size =\"29488128\"]\n  33 [size=\"33564160\", alpha=\"0.09\", expect_size=\"13425664\"] \n  34 [size=\"111674880\", alpha=\"0.09\", expect_size=\"44669952\"] \n  35 [size=\"55541760\", alpha=\"0.17\", expect_size=\"22216704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18803200\", alpha=\"0.16\", expect_size=\"7521280\"] \n  1 -> 6 [size =\"7521280\"]\n  1 -> 7 [size =\"7521280\"]\n  1 -> 8 [size =\"7521280\"]\n  2 [size=\"24727040\", alpha=\"0.02\", expect_size=\"9890816\"] \n  3 [size=\"38812160\", alpha=\"0.07\", expect_size=\"15524864\"] \n  3 -> 5 [size =\"15524864\"]\n  4 [size=\"71283200\", alpha=\"0.09\", expect_size=\"28513280\"] \n  4 -> 6 [size =\"28513280\"]\n  4 -> 7 [size =\"28513280\"]\n  5 [size=\"46581760\", alpha=\"0.19\", expect_size=\"18632704\"] \n  5 -> 11 [size =\"18632704\"]\n  6 [size=\"116584960\", alpha=\"0.13\", expect_size=\"46633984\"] \n  6 -> 9 [size =\"46633984\"]\n  6 -> 10 [size =\"46633984\"]\n  7 [size=\"111928320\", alpha=\"0.01\", expect_size=\"44771328\"] \n  7 -> 9 [size =\"44771328\"]\n  7 -> 10 [size =\"44771328\"]\n  8 [size=\"78202880\", alpha=\"0.05\", expect_size=\"31281152\"] \n  8 -> 9 [size =\"31281152\"]\n  8 -> 10 [size =\"31281152\"]\n  9 [size=\"84715520\", alpha=\"0.11\", expect_size=\"33886208\"] \n  9 -> 12 [size =\"33886208\"]\n  10 [size=\"45716480\", alpha=\"0.16\", expect_size=\"18286592\"] \n  10 -> 13 [size =\"18286592\"]\n  11 [size=\"126400000\", alpha=\"0.07\", expect_size=\"50560000\"] \n  11 -> 14 [size =\"50560000\"]\n  12 [size=\"100725760\", alpha=\"0.10\", expect_size=\"40290304\"] \n  12 -> 16 [size =\"40290304\"]\n  12 -> 17 [size =\"40290304\"]\n  12 -> 18 [size =\"40290304\"]\n  13 [size=\"110264320\", alpha=\"0.03\", expect_size=\"44105728\"] \n  13 -> 16 [size =\"44105728\"]\n  14 [size=\"34713600\", alpha=\"0.00\", expect_size=\"13885440\"] \n  14 -> 15 [size =\"13885440\"]\n  14 -> 17 [size =\"13885440\"]\n  15 [size=\"90667520\", alpha=\"0.06\", expect_size=\"36267008\"] \n  15 -> 19 [size =\"36267008\"]\n  15 -> 20 [size =\"36267008\"]\n  15 -> 22 [size =\"36267008\"]\n  15 -> 23 [size =\"36267008\"]\n  16 [size=\"82721280\", alpha=\"0.08\", expect_size=\"33088512\"] \n  16 -> 20 [size =\"33088512\"]\n  16 -> 21 [size =\"33088512\"]\n  17 [size=\"42667520\", alpha=\"0.16\", expect_size=\"17067008\"] \n  17 -> 23 [size =\"17067008\"]\n  18 [size=\"49960960\", alpha=\"0.13\", expect_size=\"19984384\"] \n  18 -> 19 [size =\"19984384\"]\n  18 -> 22 [size =\"19984384\"]\n  18 -> 23 [size =\"19984384\"]\n  19 [size=\"80437760\", alpha=\"0.12\", expect_size=\"32175104\"] \n  19 -> 25 [size =\"32175104\"]\n  19 -> 26 [size =\"32175104\"]\n  19 -> 28 [size =\"32175104\"]\n  20 [size=\"29460480\", alpha=\"0.08\", expect_size=\"11784192\"] \n  20 -> 24 [size =\"11784192\"]\n  20 -> 25 [size =\"11784192\"]\n  20 -> 26 [size =\"11784192\"]\n  20 -> 27 [size =\"11784192\"]\n  21 [size=\"122513920\", alpha=\"0.05\", expect_size=\"49005568\"] \n  21 -> 24 [size =\"49005568\"]\n  21 -> 25 [size =\"49005568\"]\n  21 -> 29 [size =\"49005568\"]\n  22 [size=\"43855360\", alpha=\"0.04\", expect_size=\"17542144\"] \n  22 -> 26 [size =\"17542144\"]\n  22 -> 27 [size =\"17542144\"]\n  23 [size=\"100702720\", alpha=\"0.07\", expect_size=\"40281088\"] \n  23 -> 24 [size =\"40281088\"]\n  23 -> 25 [size =\"40281088\"]\n  23 -> 26 [size =\"40281088\"]\n  23 -> 28 [size =\"40281088\"]\n  23 -> 29 [size =\"40281088\"]\n  24 [size=\"115737600\", alpha=\"0.01\", expect_size=\"46295040\"] \n  25 [size=\"116503040\", alpha=\"0.19\", expect_size=\"46601216\"] \n  25 -> 33 [size =\"46601216\"]\n  26 [size=\"33597440\", alpha=\"0.16\", expect_size=\"13438976\"] \n  26 -> 31 [size =\"13438976\"]\n  26 -> 32 [size =\"13438976\"]\n  26 -> 33 [size =\"13438976\"]\n  27 [size=\"78231040\", alpha=\"0.09\", expect_size=\"31292416\"] \n  27 -> 31 [size =\"31292416\"]\n  27 -> 32 [size =\"31292416\"]\n  27 -> 33 [size =\"31292416\"]\n  28 [size=\"57233920\", alpha=\"0.13\", expect_size=\"22893568\"] \n  28 -> 32 [size =\"22893568\"]\n  28 -> 32 [size =\"22893568\"]\n  28 -> 33 [size =\"22893568\"]\n  29 [size=\"16104960\", alpha=\"0.09\", expect_size=\"6441984\"] \n  29 -> 30 [size =\"6441984\"]\n  29 -> 31 [size =\"6441984\"]\n  29 -> 33 [size =\"6441984\"]\n  30 [size=\"87895040\", alpha=\"0.11\", expect_size=\"35158016\"] \n  30 -> 34 [size =\"35158016\"]\n  31 [size=\"18160640\", alpha=\"0.12\", expect_size=\"7264256\"] \n  32 [size=\"48529920\", alpha=\"0.08\", expect_size=\"19411968\"] \n  32 -> 34 [size =\"19411968\"]\n  33 [size=\"72655360\", alpha=\"0.01\", expect_size=\"29062144\"] \n  33 -> 34 [size =\"29062144\"]\n  33 -> 35 [size =\"29062144\"]\n  34 [size=\"116247040\", alpha=\"0.17\", expect_size=\"46498816\"] \n  35 [size=\"119511040\", alpha=\"0.06\", expect_size=\"47804416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67752960\", alpha=\"0.16\", expect_size=\"27101184\"] \n  1 -> 11 [size =\"27101184\"]\n  2 [size=\"97623040\", alpha=\"0.16\", expect_size=\"39049216\"] \n  2 -> 7 [size =\"39049216\"]\n  3 [size=\"123072000\", alpha=\"0.14\", expect_size=\"49228800\"] \n  3 -> 7 [size =\"49228800\"]\n  3 -> 9 [size =\"49228800\"]\n  4 [size=\"55185920\", alpha=\"0.16\", expect_size=\"22074368\"] \n  4 -> 8 [size =\"22074368\"]\n  4 -> 9 [size =\"22074368\"]\n  5 [size=\"75491840\", alpha=\"0.04\", expect_size=\"30196736\"] \n  5 -> 7 [size =\"30196736\"]\n  5 -> 8 [size =\"30196736\"]\n  5 -> 10 [size =\"30196736\"]\n  6 [size=\"131005440\", alpha=\"0.04\", expect_size=\"52402176\"] \n  6 -> 7 [size =\"52402176\"]\n  6 -> 8 [size =\"52402176\"]\n  6 -> 9 [size =\"52402176\"]\n  6 -> 10 [size =\"52402176\"]\n  6 -> 11 [size =\"52402176\"]\n  7 [size=\"26519040\", alpha=\"0.18\", expect_size=\"10607616\"] \n  7 -> 17 [size =\"10607616\"]\n  8 [size=\"76234240\", alpha=\"0.16\", expect_size=\"30493696\"] \n  8 -> 13 [size =\"30493696\"]\n  8 -> 14 [size =\"30493696\"]\n  9 [size=\"25917440\", alpha=\"0.08\", expect_size=\"10366976\"] \n  10 [size=\"36572160\", alpha=\"0.02\", expect_size=\"14628864\"] \n  10 -> 12 [size =\"14628864\"]\n  10 -> 15 [size =\"14628864\"]\n  10 -> 16 [size =\"14628864\"]\n  11 [size=\"72844800\", alpha=\"0.10\", expect_size=\"29137920\"] \n  11 -> 16 [size =\"29137920\"]\n  11 -> 17 [size =\"29137920\"]\n  12 [size=\"48327680\", alpha=\"0.09\", expect_size=\"19331072\"] \n  12 -> 21 [size =\"19331072\"]\n  12 -> 21 [size =\"19331072\"]\n  13 [size=\"23869440\", alpha=\"0.12\", expect_size=\"9547776\"] \n  13 -> 22 [size =\"9547776\"]\n  14 [size=\"106270720\", alpha=\"0.11\", expect_size=\"42508288\"] \n  15 [size=\"80714240\", alpha=\"0.09\", expect_size=\"32285696\"] \n  15 -> 18 [size =\"32285696\"]\n  15 -> 19 [size =\"32285696\"]\n  15 -> 21 [size =\"32285696\"]\n  15 -> 22 [size =\"32285696\"]\n  16 [size=\"102883840\", alpha=\"0.14\", expect_size=\"41153536\"] \n  16 -> 19 [size =\"41153536\"]\n  16 -> 19 [size =\"41153536\"]\n  16 -> 20 [size =\"41153536\"]\n  16 -> 22 [size =\"41153536\"]\n  17 [size=\"127710720\", alpha=\"0.00\", expect_size=\"51084288\"] \n  17 -> 19 [size =\"51084288\"]\n  17 -> 21 [size =\"51084288\"]\n  17 -> 22 [size =\"51084288\"]\n  18 [size=\"115676160\", alpha=\"0.15\", expect_size=\"46270464\"] \n  19 [size=\"91712000\", alpha=\"0.04\", expect_size=\"36684800\"] \n  20 [size=\"21703680\", alpha=\"0.15\", expect_size=\"8681472\"] \n  20 -> 23 [size =\"8681472\"]\n  21 [size=\"33093120\", alpha=\"0.14\", expect_size=\"13237248\"] \n  21 -> 24 [size =\"13237248\"]\n  22 [size=\"93719040\", alpha=\"0.09\", expect_size=\"37487616\"] \n  22 -> 23 [size =\"37487616\"]\n  23 [size=\"26593280\", alpha=\"0.01\", expect_size=\"10637312\"] \n  23 -> 25 [size =\"10637312\"]\n  23 -> 26 [size =\"10637312\"]\n  24 [size=\"98670080\", alpha=\"0.01\", expect_size=\"39468032\"] \n  24 -> 25 [size =\"39468032\"]\n  24 -> 26 [size =\"39468032\"]\n  25 [size=\"47777280\", alpha=\"0.12\", expect_size=\"19110912\"] \n  25 -> 30 [size =\"19110912\"]\n  26 [size=\"102412800\", alpha=\"0.02\", expect_size=\"40965120\"] \n  26 -> 27 [size =\"40965120\"]\n  26 -> 28 [size =\"40965120\"]\n  26 -> 29 [size =\"40965120\"]\n  26 -> 31 [size =\"40965120\"]\n  27 [size=\"69532160\", alpha=\"0.15\", expect_size=\"27812864\"] \n  28 [size=\"72250880\", alpha=\"0.19\", expect_size=\"28900352\"] \n  28 -> 32 [size =\"28900352\"]\n  28 -> 34 [size =\"28900352\"]\n  28 -> 35 [size =\"28900352\"]\n  29 [size=\"44149760\", alpha=\"0.04\", expect_size=\"17659904\"] \n  29 -> 32 [size =\"17659904\"]\n  29 -> 35 [size =\"17659904\"]\n  30 [size=\"67829760\", alpha=\"0.14\", expect_size=\"27131904\"] \n  30 -> 35 [size =\"27131904\"]\n  31 [size=\"35868160\", alpha=\"0.14\", expect_size=\"14347264\"] \n  31 -> 32 [size =\"14347264\"]\n  31 -> 33 [size =\"14347264\"]\n  31 -> 34 [size =\"14347264\"]\n  31 -> 35 [size =\"14347264\"]\n  32 [size=\"120872960\", alpha=\"0.19\", expect_size=\"48349184\"] \n  33 [size=\"53475840\", alpha=\"0.07\", expect_size=\"21390336\"] \n  34 [size=\"61601280\", alpha=\"0.10\", expect_size=\"24640512\"] \n  35 [size=\"69368320\", alpha=\"0.05\", expect_size=\"27747328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81052160\", alpha=\"0.16\", expect_size=\"32420864\"] \n  2 [size=\"77102080\", alpha=\"0.08\", expect_size=\"30840832\"] \n  2 -> 4 [size =\"30840832\"]\n  2 -> 5 [size =\"30840832\"]\n  2 -> 6 [size =\"30840832\"]\n  2 -> 7 [size =\"30840832\"]\n  3 [size=\"62446080\", alpha=\"0.11\", expect_size=\"24978432\"] \n  4 [size=\"117957120\", alpha=\"0.12\", expect_size=\"47182848\"] \n  4 -> 8 [size =\"47182848\"]\n  4 -> 10 [size =\"47182848\"]\n  5 [size=\"34109440\", alpha=\"0.12\", expect_size=\"13643776\"] \n  5 -> 8 [size =\"13643776\"]\n  6 [size=\"101253120\", alpha=\"0.13\", expect_size=\"40501248\"] \n  6 -> 9 [size =\"40501248\"]\n  6 -> 11 [size =\"40501248\"]\n  7 [size=\"17830400\", alpha=\"0.12\", expect_size=\"7132160\"] \n  7 -> 9 [size =\"7132160\"]\n  7 -> 12 [size =\"7132160\"]\n  8 [size=\"92280320\", alpha=\"0.14\", expect_size=\"36912128\"] \n  8 -> 13 [size =\"36912128\"]\n  9 [size=\"21667840\", alpha=\"0.19\", expect_size=\"8667136\"] \n  9 -> 14 [size =\"8667136\"]\n  9 -> 16 [size =\"8667136\"]\n  10 [size=\"17006080\", alpha=\"0.17\", expect_size=\"6802432\"] \n  10 -> 15 [size =\"6802432\"]\n  11 [size=\"123176960\", alpha=\"0.09\", expect_size=\"49270784\"] \n  11 -> 15 [size =\"49270784\"]\n  12 [size=\"101232640\", alpha=\"0.04\", expect_size=\"40493056\"] \n  12 -> 13 [size =\"40493056\"]\n  12 -> 15 [size =\"40493056\"]\n  13 [size=\"30402560\", alpha=\"0.16\", expect_size=\"12161024\"] \n  13 -> 17 [size =\"12161024\"]\n  13 -> 22 [size =\"12161024\"]\n  14 [size=\"97126400\", alpha=\"0.03\", expect_size=\"38850560\"] \n  14 -> 20 [size =\"38850560\"]\n  15 [size=\"51294720\", alpha=\"0.03\", expect_size=\"20517888\"] \n  15 -> 17 [size =\"20517888\"]\n  15 -> 18 [size =\"20517888\"]\n  15 -> 20 [size =\"20517888\"]\n  15 -> 22 [size =\"20517888\"]\n  16 [size=\"121920000\", alpha=\"0.07\", expect_size=\"48768000\"] \n  16 -> 19 [size =\"48768000\"]\n  16 -> 21 [size =\"48768000\"]\n  17 [size=\"83576320\", alpha=\"0.11\", expect_size=\"33430528\"] \n  17 -> 27 [size =\"33430528\"]\n  18 [size=\"35174400\", alpha=\"0.00\", expect_size=\"14069760\"] \n  18 -> 23 [size =\"14069760\"]\n  19 [size=\"118476800\", alpha=\"0.06\", expect_size=\"47390720\"] \n  19 -> 23 [size =\"47390720\"]\n  19 -> 24 [size =\"47390720\"]\n  19 -> 25 [size =\"47390720\"]\n  20 [size=\"113400320\", alpha=\"0.02\", expect_size=\"45360128\"] \n  20 -> 26 [size =\"45360128\"]\n  20 -> 27 [size =\"45360128\"]\n  21 [size=\"98076160\", alpha=\"0.10\", expect_size=\"39230464\"] \n  22 [size=\"34132480\", alpha=\"0.09\", expect_size=\"13652992\"] \n  22 -> 23 [size =\"13652992\"]\n  22 -> 25 [size =\"13652992\"]\n  22 -> 26 [size =\"13652992\"]\n  22 -> 27 [size =\"13652992\"]\n  23 [size=\"55244800\", alpha=\"0.16\", expect_size=\"22097920\"] \n  23 -> 31 [size =\"22097920\"]\n  23 -> 33 [size =\"22097920\"]\n  24 [size=\"29278720\", alpha=\"0.01\", expect_size=\"11711488\"] \n  24 -> 29 [size =\"11711488\"]\n  24 -> 32 [size =\"11711488\"]\n  25 [size=\"44126720\", alpha=\"0.09\", expect_size=\"17650688\"] \n  25 -> 28 [size =\"17650688\"]\n  25 -> 29 [size =\"17650688\"]\n  25 -> 30 [size =\"17650688\"]\n  25 -> 31 [size =\"17650688\"]\n  25 -> 32 [size =\"17650688\"]\n  26 [size=\"59619840\", alpha=\"0.12\", expect_size=\"23847936\"] \n  26 -> 28 [size =\"23847936\"]\n  27 [size=\"101104640\", alpha=\"0.16\", expect_size=\"40441856\"] \n  28 [size=\"47802880\", alpha=\"0.14\", expect_size=\"19121152\"] \n  28 -> 34 [size =\"19121152\"]\n  29 [size=\"50575360\", alpha=\"0.13\", expect_size=\"20230144\"] \n  30 [size=\"86609920\", alpha=\"0.13\", expect_size=\"34643968\"] \n  31 [size=\"100736000\", alpha=\"0.11\", expect_size=\"40294400\"] \n  31 -> 35 [size =\"40294400\"]\n  32 [size=\"42938880\", alpha=\"0.04\", expect_size=\"17175552\"] \n  33 [size=\"95180800\", alpha=\"0.00\", expect_size=\"38072320\"] \n  34 [size=\"70868480\", alpha=\"0.11\", expect_size=\"28347392\"] \n  35 [size=\"74851840\", alpha=\"0.08\", expect_size=\"29940736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103612416\", alpha=\"0.15\", expect_size=\"51806208\"] \n  1 -> 5 [size =\"51806208\"]\n  1 -> 7 [size =\"51806208\"]\n  2 [size=\"41521152\", alpha=\"0.00\", expect_size=\"20760576\"] \n  2 -> 5 [size =\"20760576\"]\n  2 -> 6 [size =\"20760576\"]\n  3 [size=\"57493504\", alpha=\"0.00\", expect_size=\"28746752\"] \n  3 -> 5 [size =\"28746752\"]\n  3 -> 7 [size =\"28746752\"]\n  4 [size=\"97566720\", alpha=\"0.05\", expect_size=\"48783360\"] \n  4 -> 6 [size =\"48783360\"]\n  5 [size=\"98043904\", alpha=\"0.02\", expect_size=\"49021952\"] \n  5 -> 11 [size =\"49021952\"]\n  5 -> 14 [size =\"49021952\"]\n  6 [size=\"57243648\", alpha=\"0.13\", expect_size=\"28621824\"] \n  6 -> 8 [size =\"28621824\"]\n  6 -> 10 [size =\"28621824\"]\n  6 -> 11 [size =\"28621824\"]\n  7 [size=\"69273600\", alpha=\"0.12\", expect_size=\"34636800\"] \n  7 -> 8 [size =\"34636800\"]\n  7 -> 9 [size =\"34636800\"]\n  7 -> 10 [size =\"34636800\"]\n  7 -> 12 [size =\"34636800\"]\n  7 -> 13 [size =\"34636800\"]\n  8 [size=\"82407424\", alpha=\"0.04\", expect_size=\"41203712\"] \n  8 -> 15 [size =\"41203712\"]\n  8 -> 16 [size =\"41203712\"]\n  9 [size=\"19255296\", alpha=\"0.02\", expect_size=\"9627648\"] \n  9 -> 15 [size =\"9627648\"]\n  9 -> 16 [size =\"9627648\"]\n  9 -> 20 [size =\"9627648\"]\n  10 [size=\"103086080\", alpha=\"0.12\", expect_size=\"51543040\"] \n  10 -> 18 [size =\"51543040\"]\n  10 -> 20 [size =\"51543040\"]\n  11 [size=\"68360192\", alpha=\"0.05\", expect_size=\"34180096\"] \n  11 -> 19 [size =\"34180096\"]\n  11 -> 20 [size =\"34180096\"]\n  12 [size=\"45119488\", alpha=\"0.03\", expect_size=\"22559744\"] \n  12 -> 15 [size =\"22559744\"]\n  12 -> 17 [size =\"22559744\"]\n  12 -> 19 [size =\"22559744\"]\n  12 -> 20 [size =\"22559744\"]\n  13 [size=\"46979072\", alpha=\"0.11\", expect_size=\"23489536\"] \n  13 -> 19 [size =\"23489536\"]\n  14 [size=\"48467968\", alpha=\"0.19\", expect_size=\"24233984\"] \n  14 -> 15 [size =\"24233984\"]\n  15 [size=\"69945344\", alpha=\"0.05\", expect_size=\"34972672\"] \n  15 -> 22 [size =\"34972672\"]\n  15 -> 26 [size =\"34972672\"]\n  16 [size=\"80197632\", alpha=\"0.05\", expect_size=\"40098816\"] \n  16 -> 24 [size =\"40098816\"]\n  17 [size=\"49399808\", alpha=\"0.14\", expect_size=\"24699904\"] \n  17 -> 21 [size =\"24699904\"]\n  17 -> 23 [size =\"24699904\"]\n  17 -> 26 [size =\"24699904\"]\n  18 [size=\"104224768\", alpha=\"0.20\", expect_size=\"52112384\"] \n  18 -> 21 [size =\"52112384\"]\n  18 -> 22 [size =\"52112384\"]\n  18 -> 23 [size =\"52112384\"]\n  18 -> 25 [size =\"52112384\"]\n  18 -> 26 [size =\"52112384\"]\n  19 [size=\"28739584\", alpha=\"0.10\", expect_size=\"14369792\"] \n  19 -> 23 [size =\"14369792\"]\n  19 -> 25 [size =\"14369792\"]\n  20 [size=\"39217152\", alpha=\"0.17\", expect_size=\"19608576\"] \n  20 -> 23 [size =\"19608576\"]\n  20 -> 24 [size =\"19608576\"]\n  21 [size=\"94318592\", alpha=\"0.04\", expect_size=\"47159296\"] \n  21 -> 28 [size =\"47159296\"]\n  22 [size=\"25378816\", alpha=\"0.17\", expect_size=\"12689408\"] \n  23 [size=\"38031360\", alpha=\"0.00\", expect_size=\"19015680\"] \n  23 -> 28 [size =\"19015680\"]\n  23 -> 30 [size =\"19015680\"]\n  24 [size=\"88371200\", alpha=\"0.02\", expect_size=\"44185600\"] \n  24 -> 28 [size =\"44185600\"]\n  24 -> 29 [size =\"44185600\"]\n  25 [size=\"83474432\", alpha=\"0.02\", expect_size=\"41737216\"] \n  25 -> 27 [size =\"41737216\"]\n  25 -> 28 [size =\"41737216\"]\n  26 [size=\"14344192\", alpha=\"0.12\", expect_size=\"7172096\"] \n  27 [size=\"38180864\", alpha=\"0.14\", expect_size=\"19090432\"] \n  27 -> 32 [size =\"19090432\"]\n  27 -> 33 [size =\"19090432\"]\n  27 -> 34 [size =\"19090432\"]\n  27 -> 35 [size =\"19090432\"]\n  28 [size=\"10487808\", alpha=\"0.12\", expect_size=\"5243904\"] \n  29 [size=\"104687616\", alpha=\"0.12\", expect_size=\"52343808\"] \n  29 -> 31 [size =\"52343808\"]\n  30 [size=\"58945536\", alpha=\"0.11\", expect_size=\"29472768\"] \n  30 -> 33 [size =\"29472768\"]\n  30 -> 34 [size =\"29472768\"]\n  31 [size=\"45580288\", alpha=\"0.03\", expect_size=\"22790144\"] \n  32 [size=\"63346688\", alpha=\"0.01\", expect_size=\"31673344\"] \n  33 [size=\"48910336\", alpha=\"0.08\", expect_size=\"24455168\"] \n  34 [size=\"49276928\", alpha=\"0.03\", expect_size=\"24638464\"] \n  35 [size=\"57159680\", alpha=\"0.10\", expect_size=\"28579840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34214400\", alpha=\"0.08\", expect_size=\"13685760\"] \n  1 -> 2 [size =\"13685760\"]\n  2 [size=\"43668480\", alpha=\"0.17\", expect_size=\"17467392\"] \n  2 -> 3 [size =\"17467392\"]\n  3 [size=\"26196480\", alpha=\"0.03\", expect_size=\"10478592\"] \n  3 -> 4 [size =\"10478592\"]\n  4 [size=\"97763840\", alpha=\"0.02\", expect_size=\"39105536\"] \n  4 -> 5 [size =\"39105536\"]\n  5 [size=\"73246720\", alpha=\"0.14\", expect_size=\"29298688\"] \n  5 -> 6 [size =\"29298688\"]\n  6 [size=\"103805440\", alpha=\"0.09\", expect_size=\"41522176\"] \n  6 -> 7 [size =\"41522176\"]\n  7 [size=\"34247680\", alpha=\"0.12\", expect_size=\"13699072\"] \n  7 -> 8 [size =\"13699072\"]\n  8 [size=\"45189120\", alpha=\"0.01\", expect_size=\"18075648\"] \n  8 -> 9 [size =\"18075648\"]\n  9 [size=\"40547840\", alpha=\"0.00\", expect_size=\"16219136\"] \n  9 -> 10 [size =\"16219136\"]\n  10 [size=\"41835520\", alpha=\"0.09\", expect_size=\"16734208\"] \n  10 -> 11 [size =\"16734208\"]\n  11 [size=\"46845440\", alpha=\"0.07\", expect_size=\"18738176\"] \n  11 -> 12 [size =\"18738176\"]\n  12 [size=\"94051840\", alpha=\"0.01\", expect_size=\"37620736\"] \n  12 -> 13 [size =\"37620736\"]\n  13 [size=\"73692160\", alpha=\"0.18\", expect_size=\"29476864\"] \n  13 -> 14 [size =\"29476864\"]\n  14 [size=\"91924480\", alpha=\"0.03\", expect_size=\"36769792\"] \n  14 -> 15 [size =\"36769792\"]\n  15 [size=\"103157760\", alpha=\"0.17\", expect_size=\"41263104\"] \n  15 -> 16 [size =\"41263104\"]\n  16 [size=\"69632000\", alpha=\"0.00\", expect_size=\"27852800\"] \n  16 -> 17 [size =\"27852800\"]\n  17 [size=\"121594880\", alpha=\"0.09\", expect_size=\"48637952\"] \n  17 -> 18 [size =\"48637952\"]\n  18 [size=\"72304640\", alpha=\"0.14\", expect_size=\"28921856\"] \n  18 -> 19 [size =\"28921856\"]\n  19 [size=\"79887360\", alpha=\"0.08\", expect_size=\"31954944\"] \n  19 -> 20 [size =\"31954944\"]\n  20 [size=\"80849920\", alpha=\"0.12\", expect_size=\"32339968\"] \n  20 -> 21 [size =\"32339968\"]\n  21 [size=\"18319360\", alpha=\"0.20\", expect_size=\"7327744\"] \n  21 -> 22 [size =\"7327744\"]\n  22 [size=\"59399680\", alpha=\"0.13\", expect_size=\"23759872\"] \n  22 -> 23 [size =\"23759872\"]\n  23 [size=\"62407680\", alpha=\"0.08\", expect_size=\"24963072\"] \n  23 -> 24 [size =\"24963072\"]\n  24 [size=\"49899520\", alpha=\"0.17\", expect_size=\"19959808\"] \n  24 -> 25 [size =\"19959808\"]\n  25 [size=\"67409920\", alpha=\"0.16\", expect_size=\"26963968\"] \n  25 -> 26 [size =\"26963968\"]\n  26 [size=\"49745920\", alpha=\"0.11\", expect_size=\"19898368\"] \n  26 -> 27 [size =\"19898368\"]\n  27 [size=\"52239360\", alpha=\"0.09\", expect_size=\"20895744\"] \n  27 -> 28 [size =\"20895744\"]\n  28 [size=\"102430720\", alpha=\"0.13\", expect_size=\"40972288\"] \n  28 -> 29 [size =\"40972288\"]\n  29 [size=\"68318720\", alpha=\"0.02\", expect_size=\"27327488\"] \n  29 -> 30 [size =\"27327488\"]\n  30 [size=\"118417920\", alpha=\"0.15\", expect_size=\"47367168\"] \n  30 -> 31 [size =\"47367168\"]\n  31 [size=\"73687040\", alpha=\"0.14\", expect_size=\"29474816\"] \n  31 -> 32 [size =\"29474816\"]\n  32 [size=\"73200640\", alpha=\"0.07\", expect_size=\"29280256\"] \n  32 -> 33 [size =\"29280256\"]\n  33 [size=\"29560320\", alpha=\"0.10\", expect_size=\"11824128\"] \n  33 -> 34 [size =\"11824128\"]\n  34 [size=\"73817600\", alpha=\"0.07\", expect_size=\"29527040\"] \n  34 -> 35 [size =\"29527040\"]\n  35 [size=\"54704640\", alpha=\"0.18\", expect_size=\"21881856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51307520\", alpha=\"0.19\", expect_size=\"20523008\"] \n  1 -> 3 [size =\"20523008\"]\n  2 [size=\"23774720\", alpha=\"0.06\", expect_size=\"9509888\"] \n  2 -> 3 [size =\"9509888\"]\n  3 [size=\"114736640\", alpha=\"0.11\", expect_size=\"45894656\"] \n  3 -> 4 [size =\"45894656\"]\n  3 -> 5 [size =\"45894656\"]\n  4 [size=\"91328000\", alpha=\"0.19\", expect_size=\"36531200\"] \n  4 -> 6 [size =\"36531200\"]\n  4 -> 7 [size =\"36531200\"]\n  5 [size=\"46717440\", alpha=\"0.10\", expect_size=\"18686976\"] \n  5 -> 6 [size =\"18686976\"]\n  5 -> 7 [size =\"18686976\"]\n  6 [size=\"29821440\", alpha=\"0.03\", expect_size=\"11928576\"] \n  6 -> 8 [size =\"11928576\"]\n  6 -> 9 [size =\"11928576\"]\n  7 [size=\"19023360\", alpha=\"0.01\", expect_size=\"7609344\"] \n  8 [size=\"20613120\", alpha=\"0.15\", expect_size=\"8245248\"] \n  8 -> 10 [size =\"8245248\"]\n  9 [size=\"122951680\", alpha=\"0.18\", expect_size=\"49180672\"] \n  9 -> 10 [size =\"49180672\"]\n  9 -> 11 [size =\"49180672\"]\n  10 [size=\"60910080\", alpha=\"0.09\", expect_size=\"24364032\"] \n  10 -> 12 [size =\"24364032\"]\n  11 [size=\"15111680\", alpha=\"0.05\", expect_size=\"6044672\"] \n  12 [size=\"129920000\", alpha=\"0.16\", expect_size=\"51968000\"] \n  12 -> 13 [size =\"51968000\"]\n  12 -> 14 [size =\"51968000\"]\n  13 [size=\"47050240\", alpha=\"0.09\", expect_size=\"18820096\"] \n  13 -> 15 [size =\"18820096\"]\n  14 [size=\"112207360\", alpha=\"0.17\", expect_size=\"44882944\"] \n  14 -> 15 [size =\"44882944\"]\n  14 -> 16 [size =\"44882944\"]\n  15 [size=\"104074240\", alpha=\"0.18\", expect_size=\"41629696\"] \n  15 -> 17 [size =\"41629696\"]\n  16 [size=\"44398080\", alpha=\"0.01\", expect_size=\"17759232\"] \n  16 -> 17 [size =\"17759232\"]\n  17 [size=\"63511040\", alpha=\"0.05\", expect_size=\"25404416\"] \n  17 -> 18 [size =\"25404416\"]\n  17 -> 19 [size =\"25404416\"]\n  18 [size=\"67020800\", alpha=\"0.02\", expect_size=\"26808320\"] \n  18 -> 20 [size =\"26808320\"]\n  19 [size=\"35870720\", alpha=\"0.16\", expect_size=\"14348288\"] \n  19 -> 20 [size =\"14348288\"]\n  20 [size=\"22417920\", alpha=\"0.11\", expect_size=\"8967168\"] \n  20 -> 21 [size =\"8967168\"]\n  20 -> 22 [size =\"8967168\"]\n  21 [size=\"76897280\", alpha=\"0.11\", expect_size=\"30758912\"] \n  21 -> 23 [size =\"30758912\"]\n  21 -> 24 [size =\"30758912\"]\n  22 [size=\"108633600\", alpha=\"0.13\", expect_size=\"43453440\"] \n  22 -> 23 [size =\"43453440\"]\n  22 -> 24 [size =\"43453440\"]\n  23 [size=\"86133760\", alpha=\"0.13\", expect_size=\"34453504\"] \n  23 -> 26 [size =\"34453504\"]\n  24 [size=\"20200960\", alpha=\"0.06\", expect_size=\"8080384\"] \n  24 -> 25 [size =\"8080384\"]\n  25 [size=\"118868480\", alpha=\"0.04\", expect_size=\"47547392\"] \n  25 -> 28 [size =\"47547392\"]\n  26 [size=\"107008000\", alpha=\"0.06\", expect_size=\"42803200\"] \n  26 -> 27 [size =\"42803200\"]\n  26 -> 28 [size =\"42803200\"]\n  27 [size=\"111426560\", alpha=\"0.08\", expect_size=\"44570624\"] \n  27 -> 29 [size =\"44570624\"]\n  28 [size=\"24893440\", alpha=\"0.12\", expect_size=\"9957376\"] \n  28 -> 29 [size =\"9957376\"]\n  29 [size=\"38904320\", alpha=\"0.14\", expect_size=\"15561728\"] \n  29 -> 30 [size =\"15561728\"]\n  30 [size=\"18099200\", alpha=\"0.05\", expect_size=\"7239680\"] \n  30 -> 31 [size =\"7239680\"]\n  30 -> 32 [size =\"7239680\"]\n  31 [size=\"80289280\", alpha=\"0.15\", expect_size=\"32115712\"] \n  31 -> 34 [size =\"32115712\"]\n  32 [size=\"27745280\", alpha=\"0.06\", expect_size=\"11098112\"] \n  32 -> 33 [size =\"11098112\"]\n  32 -> 34 [size =\"11098112\"]\n  33 [size=\"107061760\", alpha=\"0.02\", expect_size=\"42824704\"] \n  33 -> 35 [size =\"42824704\"]\n  34 [size=\"65978880\", alpha=\"0.15\", expect_size=\"26391552\"] \n  34 -> 35 [size =\"26391552\"]\n  35 [size=\"100682240\", alpha=\"0.04\", expect_size=\"40272896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99031040\", alpha=\"0.18\", expect_size=\"29709312\"] \n  1 -> 5 [size =\"29709312\"]\n  1 -> 6 [size =\"29709312\"]\n  1 -> 7 [size =\"29709312\"]\n  2 [size=\"148947627\", alpha=\"0.06\", expect_size=\"44684288\"] \n  2 -> 6 [size =\"44684288\"]\n  2 -> 8 [size =\"44684288\"]\n  3 [size=\"72328533\", alpha=\"0.10\", expect_size=\"21698560\"] \n  4 [size=\"174745600\", alpha=\"0.08\", expect_size=\"52423680\"] \n  4 -> 5 [size =\"52423680\"]\n  4 -> 7 [size =\"52423680\"]\n  5 [size=\"57251840\", alpha=\"0.04\", expect_size=\"17175552\"] \n  5 -> 10 [size =\"17175552\"]\n  6 [size=\"129286827\", alpha=\"0.20\", expect_size=\"38786048\"] \n  6 -> 9 [size =\"38786048\"]\n  6 -> 10 [size =\"38786048\"]\n  6 -> 11 [size =\"38786048\"]\n  6 -> 12 [size =\"38786048\"]\n  7 [size=\"129341440\", alpha=\"0.16\", expect_size=\"38802432\"] \n  7 -> 11 [size =\"38802432\"]\n  7 -> 12 [size =\"38802432\"]\n  8 [size=\"44660053\", alpha=\"0.06\", expect_size=\"13398016\"] \n  8 -> 10 [size =\"13398016\"]\n  9 [size=\"76646400\", alpha=\"0.02\", expect_size=\"22993920\"] \n  9 -> 15 [size =\"22993920\"]\n  9 -> 16 [size =\"22993920\"]\n  10 [size=\"144186027\", alpha=\"0.18\", expect_size=\"43255808\"] \n  10 -> 13 [size =\"43255808\"]\n  10 -> 14 [size =\"43255808\"]\n  10 -> 17 [size =\"43255808\"]\n  11 [size=\"105837227\", alpha=\"0.03\", expect_size=\"31751168\"] \n  11 -> 17 [size =\"31751168\"]\n  12 [size=\"87719253\", alpha=\"0.12\", expect_size=\"26315776\"] \n  12 -> 13 [size =\"26315776\"]\n  12 -> 14 [size =\"26315776\"]\n  12 -> 15 [size =\"26315776\"]\n  12 -> 17 [size =\"26315776\"]\n  13 [size=\"136140800\", alpha=\"0.07\", expect_size=\"40842240\"] \n  13 -> 18 [size =\"40842240\"]\n  14 [size=\"59310080\", alpha=\"0.05\", expect_size=\"17793024\"] \n  14 -> 20 [size =\"17793024\"]\n  14 -> 21 [size =\"17793024\"]\n  15 [size=\"121917440\", alpha=\"0.14\", expect_size=\"36575232\"] \n  15 -> 19 [size =\"36575232\"]\n  15 -> 20 [size =\"36575232\"]\n  16 [size=\"155217920\", alpha=\"0.05\", expect_size=\"46565376\"] \n  16 -> 18 [size =\"46565376\"]\n  16 -> 19 [size =\"46565376\"]\n  16 -> 20 [size =\"46565376\"]\n  16 -> 21 [size =\"46565376\"]\n  17 [size=\"154955093\", alpha=\"0.10\", expect_size=\"46486528\"] \n  17 -> 18 [size =\"46486528\"]\n  18 [size=\"126184107\", alpha=\"0.18\", expect_size=\"37855232\"] \n  18 -> 23 [size =\"37855232\"]\n  18 -> 25 [size =\"37855232\"]\n  19 [size=\"173110613\", alpha=\"0.11\", expect_size=\"51933184\"] \n  19 -> 23 [size =\"51933184\"]\n  19 -> 24 [size =\"51933184\"]\n  19 -> 25 [size =\"51933184\"]\n  20 [size=\"32737280\", alpha=\"0.09\", expect_size=\"9821184\"] \n  20 -> 22 [size =\"9821184\"]\n  20 -> 23 [size =\"9821184\"]\n  20 -> 24 [size =\"9821184\"]\n  20 -> 25 [size =\"9821184\"]\n  21 [size=\"17960960\", alpha=\"0.18\", expect_size=\"5388288\"] \n  21 -> 24 [size =\"5388288\"]\n  22 [size=\"44427947\", alpha=\"0.03\", expect_size=\"13328384\"] \n  22 -> 27 [size =\"13328384\"]\n  22 -> 29 [size =\"13328384\"]\n  23 [size=\"138243413\", alpha=\"0.16\", expect_size=\"41473024\"] \n  23 -> 28 [size =\"41473024\"]\n  23 -> 30 [size =\"41473024\"]\n  24 [size=\"39290880\", alpha=\"0.09\", expect_size=\"11787264\"] \n  24 -> 30 [size =\"11787264\"]\n  25 [size=\"80039253\", alpha=\"0.06\", expect_size=\"24011776\"] \n  25 -> 26 [size =\"24011776\"]\n  25 -> 27 [size =\"24011776\"]\n  25 -> 28 [size =\"24011776\"]\n  25 -> 29 [size =\"24011776\"]\n  26 [size=\"32034133\", alpha=\"0.18\", expect_size=\"9610240\"] \n  26 -> 33 [size =\"9610240\"]\n  26 -> 34 [size =\"9610240\"]\n  26 -> 35 [size =\"9610240\"]\n  27 [size=\"71075840\", alpha=\"0.04\", expect_size=\"21322752\"] \n  27 -> 32 [size =\"21322752\"]\n  27 -> 33 [size =\"21322752\"]\n  28 [size=\"150459733\", alpha=\"0.14\", expect_size=\"45137920\"] \n  28 -> 31 [size =\"45137920\"]\n  28 -> 34 [size =\"45137920\"]\n  29 [size=\"135335253\", alpha=\"0.11\", expect_size=\"40600576\"] \n  29 -> 35 [size =\"40600576\"]\n  30 [size=\"61388800\", alpha=\"0.04\", expect_size=\"18416640\"] \n  30 -> 33 [size =\"18416640\"]\n  30 -> 34 [size =\"18416640\"]\n  30 -> 35 [size =\"18416640\"]\n  31 [size=\"132761600\", alpha=\"0.08\", expect_size=\"39828480\"] \n  32 [size=\"116432213\", alpha=\"0.01\", expect_size=\"34929664\"] \n  33 [size=\"143878827\", alpha=\"0.10\", expect_size=\"43163648\"] \n  34 [size=\"112663893\", alpha=\"0.03\", expect_size=\"33799168\"] \n  35 [size=\"22773760\", alpha=\"0.10\", expect_size=\"6832128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52768768\", alpha=\"0.05\", expect_size=\"26384384\"] \n  1 -> 20 [size =\"26384384\"]\n  1 -> 21 [size =\"26384384\"]\n  2 [size=\"12269568\", alpha=\"0.03\", expect_size=\"6134784\"] \n  2 -> 14 [size =\"6134784\"]\n  2 -> 15 [size =\"6134784\"]\n  2 -> 21 [size =\"6134784\"]\n  3 [size=\"51021824\", alpha=\"0.13\", expect_size=\"25510912\"] \n  3 -> 17 [size =\"25510912\"]\n  3 -> 21 [size =\"25510912\"]\n  4 [size=\"79222784\", alpha=\"0.07\", expect_size=\"39611392\"] \n  4 -> 14 [size =\"39611392\"]\n  4 -> 17 [size =\"39611392\"]\n  4 -> 20 [size =\"39611392\"]\n  5 [size=\"75673600\", alpha=\"0.11\", expect_size=\"37836800\"] \n  5 -> 14 [size =\"37836800\"]\n  5 -> 17 [size =\"37836800\"]\n  5 -> 18 [size =\"37836800\"]\n  6 [size=\"83265536\", alpha=\"0.08\", expect_size=\"41632768\"] \n  6 -> 16 [size =\"41632768\"]\n  7 [size=\"61468672\", alpha=\"0.09\", expect_size=\"30734336\"] \n  7 -> 15 [size =\"30734336\"]\n  7 -> 17 [size =\"30734336\"]\n  7 -> 20 [size =\"30734336\"]\n  8 [size=\"11239424\", alpha=\"0.03\", expect_size=\"5619712\"] \n  8 -> 20 [size =\"5619712\"]\n  8 -> 21 [size =\"5619712\"]\n  9 [size=\"71088128\", alpha=\"0.06\", expect_size=\"35544064\"] \n  9 -> 21 [size =\"35544064\"]\n  10 [size=\"69470208\", alpha=\"0.07\", expect_size=\"34735104\"] \n  10 -> 16 [size =\"34735104\"]\n  11 [size=\"53540864\", alpha=\"0.13\", expect_size=\"26770432\"] \n  11 -> 15 [size =\"26770432\"]\n  12 [size=\"76046336\", alpha=\"0.09\", expect_size=\"38023168\"] \n  12 -> 14 [size =\"38023168\"]\n  13 [size=\"88164352\", alpha=\"0.08\", expect_size=\"44082176\"] \n  13 -> 14 [size =\"44082176\"]\n  13 -> 15 [size =\"44082176\"]\n  13 -> 19 [size =\"44082176\"]\n  13 -> 20 [size =\"44082176\"]\n  14 [size=\"55939072\", alpha=\"0.16\", expect_size=\"27969536\"] \n  14 -> 22 [size =\"27969536\"]\n  14 -> 27 [size =\"27969536\"]\n  14 -> 30 [size =\"27969536\"]\n  14 -> 31 [size =\"27969536\"]\n  14 -> 33 [size =\"27969536\"]\n  14 -> 35 [size =\"27969536\"]\n  15 [size=\"87154688\", alpha=\"0.03\", expect_size=\"43577344\"] \n  15 -> 22 [size =\"43577344\"]\n  15 -> 24 [size =\"43577344\"]\n  15 -> 25 [size =\"43577344\"]\n  15 -> 26 [size =\"43577344\"]\n  15 -> 27 [size =\"43577344\"]\n  15 -> 28 [size =\"43577344\"]\n  15 -> 33 [size =\"43577344\"]\n  15 -> 35 [size =\"43577344\"]\n  16 [size=\"42539008\", alpha=\"0.08\", expect_size=\"21269504\"] \n  16 -> 24 [size =\"21269504\"]\n  16 -> 26 [size =\"21269504\"]\n  16 -> 27 [size =\"21269504\"]\n  16 -> 30 [size =\"21269504\"]\n  16 -> 34 [size =\"21269504\"]\n  17 [size=\"79947776\", alpha=\"0.20\", expect_size=\"39973888\"] \n  17 -> 23 [size =\"39973888\"]\n  17 -> 24 [size =\"39973888\"]\n  17 -> 26 [size =\"39973888\"]\n  17 -> 27 [size =\"39973888\"]\n  17 -> 31 [size =\"39973888\"]\n  17 -> 32 [size =\"39973888\"]\n  17 -> 34 [size =\"39973888\"]\n  17 -> 35 [size =\"39973888\"]\n  18 [size=\"28221440\", alpha=\"0.19\", expect_size=\"14110720\"] \n  18 -> 22 [size =\"14110720\"]\n  18 -> 23 [size =\"14110720\"]\n  18 -> 24 [size =\"14110720\"]\n  18 -> 31 [size =\"14110720\"]\n  18 -> 33 [size =\"14110720\"]\n  18 -> 34 [size =\"14110720\"]\n  19 [size=\"40445952\", alpha=\"0.19\", expect_size=\"20222976\"] \n  19 -> 23 [size =\"20222976\"]\n  19 -> 29 [size =\"20222976\"]\n  19 -> 31 [size =\"20222976\"]\n  19 -> 33 [size =\"20222976\"]\n  20 [size=\"68687872\", alpha=\"0.13\", expect_size=\"34343936\"] \n  20 -> 22 [size =\"34343936\"]\n  20 -> 23 [size =\"34343936\"]\n  20 -> 28 [size =\"34343936\"]\n  20 -> 30 [size =\"34343936\"]\n  20 -> 32 [size =\"34343936\"]\n  21 [size=\"99706880\", alpha=\"0.16\", expect_size=\"49853440\"] \n  21 -> 24 [size =\"49853440\"]\n  21 -> 27 [size =\"49853440\"]\n  21 -> 30 [size =\"49853440\"]\n  21 -> 33 [size =\"49853440\"]\n  21 -> 34 [size =\"49853440\"]\n  22 [size=\"64417792\", alpha=\"0.19\", expect_size=\"32208896\"] \n  23 [size=\"14596096\", alpha=\"0.11\", expect_size=\"7298048\"] \n  24 [size=\"50032640\", alpha=\"0.17\", expect_size=\"25016320\"] \n  25 [size=\"29874176\", alpha=\"0.18\", expect_size=\"14937088\"] \n  26 [size=\"45006848\", alpha=\"0.13\", expect_size=\"22503424\"] \n  27 [size=\"80961536\", alpha=\"0.20\", expect_size=\"40480768\"] \n  28 [size=\"80658432\", alpha=\"0.06\", expect_size=\"40329216\"] \n  29 [size=\"76091392\", alpha=\"0.06\", expect_size=\"38045696\"] \n  30 [size=\"71450624\", alpha=\"0.18\", expect_size=\"35725312\"] \n  31 [size=\"38137856\", alpha=\"0.19\", expect_size=\"19068928\"] \n  32 [size=\"18438144\", alpha=\"0.14\", expect_size=\"9219072\"] \n  33 [size=\"14137344\", alpha=\"0.05\", expect_size=\"7068672\"] \n  34 [size=\"65769472\", alpha=\"0.06\", expect_size=\"32884736\"] \n  35 [size=\"53334016\", alpha=\"0.04\", expect_size=\"26667008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91818667\", alpha=\"0.11\", expect_size=\"27545600\"] \n  1 -> 3 [size =\"27545600\"]\n  1 -> 4 [size =\"27545600\"]\n  2 [size=\"23760213\", alpha=\"0.09\", expect_size=\"7128064\"] \n  2 -> 3 [size =\"7128064\"]\n  2 -> 4 [size =\"7128064\"]\n  3 [size=\"153582933\", alpha=\"0.06\", expect_size=\"46074880\"] \n  4 [size=\"65218560\", alpha=\"0.09\", expect_size=\"19565568\"] \n  4 -> 5 [size =\"19565568\"]\n  5 [size=\"93859840\", alpha=\"0.18\", expect_size=\"28157952\"] \n  5 -> 6 [size =\"28157952\"]\n  6 [size=\"131874133\", alpha=\"0.16\", expect_size=\"39562240\"] \n  6 -> 7 [size =\"39562240\"]\n  7 [size=\"129515520\", alpha=\"0.17\", expect_size=\"38854656\"] \n  7 -> 8 [size =\"38854656\"]\n  8 [size=\"22097920\", alpha=\"0.11\", expect_size=\"6629376\"] \n  8 -> 9 [size =\"6629376\"]\n  8 -> 10 [size =\"6629376\"]\n  9 [size=\"110059520\", alpha=\"0.02\", expect_size=\"33017856\"] \n  9 -> 11 [size =\"33017856\"]\n  10 [size=\"117149013\", alpha=\"0.13\", expect_size=\"35144704\"] \n  10 -> 11 [size =\"35144704\"]\n  11 [size=\"69744640\", alpha=\"0.01\", expect_size=\"20923392\"] \n  11 -> 12 [size =\"20923392\"]\n  12 [size=\"156893867\", alpha=\"0.05\", expect_size=\"47068160\"] \n  12 -> 13 [size =\"47068160\"]\n  12 -> 14 [size =\"47068160\"]\n  13 [size=\"67638613\", alpha=\"0.07\", expect_size=\"20291584\"] \n  13 -> 15 [size =\"20291584\"]\n  13 -> 16 [size =\"20291584\"]\n  14 [size=\"113059840\", alpha=\"0.11\", expect_size=\"33917952\"] \n  15 [size=\"27320320\", alpha=\"0.09\", expect_size=\"8196096\"] \n  15 -> 17 [size =\"8196096\"]\n  15 -> 18 [size =\"8196096\"]\n  16 [size=\"167577600\", alpha=\"0.00\", expect_size=\"50273280\"] \n  16 -> 17 [size =\"50273280\"]\n  16 -> 18 [size =\"50273280\"]\n  17 [size=\"138475520\", alpha=\"0.01\", expect_size=\"41542656\"] \n  17 -> 19 [size =\"41542656\"]\n  18 [size=\"111810560\", alpha=\"0.05\", expect_size=\"33543168\"] \n  18 -> 19 [size =\"33543168\"]\n  18 -> 20 [size =\"33543168\"]\n  19 [size=\"44001280\", alpha=\"0.12\", expect_size=\"13200384\"] \n  19 -> 21 [size =\"13200384\"]\n  20 [size=\"62047573\", alpha=\"0.02\", expect_size=\"18614272\"] \n  21 [size=\"162406400\", alpha=\"0.01\", expect_size=\"48721920\"] \n  21 -> 22 [size =\"48721920\"]\n  22 [size=\"170881707\", alpha=\"0.01\", expect_size=\"51264512\"] \n  22 -> 23 [size =\"51264512\"]\n  23 [size=\"51520853\", alpha=\"0.19\", expect_size=\"15456256\"] \n  23 -> 24 [size =\"15456256\"]\n  23 -> 25 [size =\"15456256\"]\n  24 [size=\"105448107\", alpha=\"0.02\", expect_size=\"31634432\"] \n  24 -> 26 [size =\"31634432\"]\n  24 -> 27 [size =\"31634432\"]\n  25 [size=\"32129707\", alpha=\"0.15\", expect_size=\"9638912\"] \n  25 -> 26 [size =\"9638912\"]\n  25 -> 27 [size =\"9638912\"]\n  26 [size=\"105588053\", alpha=\"0.03\", expect_size=\"31676416\"] \n  26 -> 28 [size =\"31676416\"]\n  27 [size=\"105704107\", alpha=\"0.05\", expect_size=\"31711232\"] \n  27 -> 28 [size =\"31711232\"]\n  28 [size=\"116322987\", alpha=\"0.08\", expect_size=\"34896896\"] \n  28 -> 29 [size =\"34896896\"]\n  28 -> 30 [size =\"34896896\"]\n  29 [size=\"155173547\", alpha=\"0.02\", expect_size=\"46552064\"] \n  29 -> 31 [size =\"46552064\"]\n  30 [size=\"90309973\", alpha=\"0.09\", expect_size=\"27092992\"] \n  30 -> 31 [size =\"27092992\"]\n  31 [size=\"103099733\", alpha=\"0.03\", expect_size=\"30929920\"] \n  31 -> 32 [size =\"30929920\"]\n  32 [size=\"110602240\", alpha=\"0.14\", expect_size=\"33180672\"] \n  32 -> 33 [size =\"33180672\"]\n  32 -> 34 [size =\"33180672\"]\n  33 [size=\"119098027\", alpha=\"0.12\", expect_size=\"35729408\"] \n  33 -> 35 [size =\"35729408\"]\n  34 [size=\"107410773\", alpha=\"0.02\", expect_size=\"32223232\"] \n  35 [size=\"123282773\", alpha=\"0.13\", expect_size=\"36984832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26943488\", alpha=\"0.18\", expect_size=\"13471744\"] \n  1 -> 3 [size =\"13471744\"]\n  1 -> 4 [size =\"13471744\"]\n  2 [size=\"50395136\", alpha=\"0.07\", expect_size=\"25197568\"] \n  2 -> 3 [size =\"25197568\"]\n  2 -> 4 [size =\"25197568\"]\n  3 [size=\"100392960\", alpha=\"0.17\", expect_size=\"50196480\"] \n  3 -> 6 [size =\"50196480\"]\n  4 [size=\"13869056\", alpha=\"0.10\", expect_size=\"6934528\"] \n  4 -> 5 [size =\"6934528\"]\n  4 -> 6 [size =\"6934528\"]\n  5 [size=\"77887488\", alpha=\"0.14\", expect_size=\"38943744\"] \n  5 -> 7 [size =\"38943744\"]\n  6 [size=\"33484800\", alpha=\"0.03\", expect_size=\"16742400\"] \n  7 [size=\"35504128\", alpha=\"0.19\", expect_size=\"17752064\"] \n  7 -> 8 [size =\"17752064\"]\n  7 -> 9 [size =\"17752064\"]\n  8 [size=\"29437952\", alpha=\"0.15\", expect_size=\"14718976\"] \n  8 -> 11 [size =\"14718976\"]\n  9 [size=\"87134208\", alpha=\"0.05\", expect_size=\"43567104\"] \n  9 -> 10 [size =\"43567104\"]\n  9 -> 11 [size =\"43567104\"]\n  10 [size=\"48687104\", alpha=\"0.16\", expect_size=\"24343552\"] \n  10 -> 12 [size =\"24343552\"]\n  11 [size=\"35358720\", alpha=\"0.11\", expect_size=\"17679360\"] \n  11 -> 12 [size =\"17679360\"]\n  12 [size=\"27439104\", alpha=\"0.09\", expect_size=\"13719552\"] \n  12 -> 13 [size =\"13719552\"]\n  13 [size=\"61317120\", alpha=\"0.07\", expect_size=\"30658560\"] \n  13 -> 14 [size =\"30658560\"]\n  13 -> 15 [size =\"30658560\"]\n  14 [size=\"47507456\", alpha=\"0.19\", expect_size=\"23753728\"] \n  14 -> 16 [size =\"23753728\"]\n  14 -> 17 [size =\"23753728\"]\n  15 [size=\"92893184\", alpha=\"0.01\", expect_size=\"46446592\"] \n  15 -> 16 [size =\"46446592\"]\n  15 -> 17 [size =\"46446592\"]\n  16 [size=\"65101824\", alpha=\"0.15\", expect_size=\"32550912\"] \n  16 -> 18 [size =\"32550912\"]\n  17 [size=\"80556032\", alpha=\"0.07\", expect_size=\"40278016\"] \n  17 -> 18 [size =\"40278016\"]\n  17 -> 19 [size =\"40278016\"]\n  18 [size=\"73596928\", alpha=\"0.14\", expect_size=\"36798464\"] \n  18 -> 20 [size =\"36798464\"]\n  18 -> 21 [size =\"36798464\"]\n  19 [size=\"50284544\", alpha=\"0.07\", expect_size=\"25142272\"] \n  19 -> 20 [size =\"25142272\"]\n  19 -> 21 [size =\"25142272\"]\n  20 [size=\"76138496\", alpha=\"0.02\", expect_size=\"38069248\"] \n  20 -> 22 [size =\"38069248\"]\n  20 -> 23 [size =\"38069248\"]\n  21 [size=\"58040320\", alpha=\"0.20\", expect_size=\"29020160\"] \n  21 -> 22 [size =\"29020160\"]\n  21 -> 23 [size =\"29020160\"]\n  22 [size=\"15921152\", alpha=\"0.07\", expect_size=\"7960576\"] \n  22 -> 24 [size =\"7960576\"]\n  22 -> 25 [size =\"7960576\"]\n  23 [size=\"59901952\", alpha=\"0.12\", expect_size=\"29950976\"] \n  23 -> 24 [size =\"29950976\"]\n  23 -> 25 [size =\"29950976\"]\n  24 [size=\"95141888\", alpha=\"0.18\", expect_size=\"47570944\"] \n  25 [size=\"89696256\", alpha=\"0.19\", expect_size=\"44848128\"] \n  25 -> 26 [size =\"44848128\"]\n  26 [size=\"94302208\", alpha=\"0.05\", expect_size=\"47151104\"] \n  26 -> 27 [size =\"47151104\"]\n  26 -> 28 [size =\"47151104\"]\n  27 [size=\"72796160\", alpha=\"0.15\", expect_size=\"36398080\"] \n  27 -> 29 [size =\"36398080\"]\n  27 -> 30 [size =\"36398080\"]\n  28 [size=\"10500096\", alpha=\"0.10\", expect_size=\"5250048\"] \n  28 -> 29 [size =\"5250048\"]\n  29 [size=\"77207552\", alpha=\"0.01\", expect_size=\"38603776\"] \n  30 [size=\"17070080\", alpha=\"0.00\", expect_size=\"8535040\"] \n  30 -> 31 [size =\"8535040\"]\n  31 [size=\"25874432\", alpha=\"0.05\", expect_size=\"12937216\"] \n  31 -> 32 [size =\"12937216\"]\n  31 -> 33 [size =\"12937216\"]\n  32 [size=\"25708544\", alpha=\"0.13\", expect_size=\"12854272\"] \n  32 -> 34 [size =\"12854272\"]\n  32 -> 35 [size =\"12854272\"]\n  33 [size=\"56481792\", alpha=\"0.12\", expect_size=\"28240896\"] \n  33 -> 34 [size =\"28240896\"]\n  33 -> 35 [size =\"28240896\"]\n  34 [size=\"19357696\", alpha=\"0.18\", expect_size=\"9678848\"] \n  35 [size=\"12095488\", alpha=\"0.02\", expect_size=\"6047744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100720640\", alpha=\"0.09\", expect_size=\"50360320\"] \n  1 -> 10 [size =\"50360320\"]\n  2 [size=\"69328896\", alpha=\"0.14\", expect_size=\"34664448\"] \n  2 -> 6 [size =\"34664448\"]\n  2 -> 8 [size =\"34664448\"]\n  2 -> 10 [size =\"34664448\"]\n  3 [size=\"83398656\", alpha=\"0.19\", expect_size=\"41699328\"] \n  3 -> 6 [size =\"41699328\"]\n  3 -> 7 [size =\"41699328\"]\n  3 -> 9 [size =\"41699328\"]\n  4 [size=\"20240384\", alpha=\"0.14\", expect_size=\"10120192\"] \n  4 -> 6 [size =\"10120192\"]\n  4 -> 10 [size =\"10120192\"]\n  5 [size=\"87789568\", alpha=\"0.07\", expect_size=\"43894784\"] \n  5 -> 6 [size =\"43894784\"]\n  5 -> 8 [size =\"43894784\"]\n  5 -> 9 [size =\"43894784\"]\n  6 [size=\"73236480\", alpha=\"0.06\", expect_size=\"36618240\"] \n  6 -> 11 [size =\"36618240\"]\n  6 -> 12 [size =\"36618240\"]\n  6 -> 13 [size =\"36618240\"]\n  7 [size=\"45574144\", alpha=\"0.11\", expect_size=\"22787072\"] \n  7 -> 12 [size =\"22787072\"]\n  7 -> 13 [size =\"22787072\"]\n  7 -> 13 [size =\"22787072\"]\n  7 -> 14 [size =\"22787072\"]\n  8 [size=\"25866240\", alpha=\"0.08\", expect_size=\"12933120\"] \n  8 -> 11 [size =\"12933120\"]\n  8 -> 12 [size =\"12933120\"]\n  9 [size=\"73474048\", alpha=\"0.15\", expect_size=\"36737024\"] \n  9 -> 11 [size =\"36737024\"]\n  9 -> 12 [size =\"36737024\"]\n  9 -> 13 [size =\"36737024\"]\n  10 [size=\"16629760\", alpha=\"0.09\", expect_size=\"8314880\"] \n  10 -> 11 [size =\"8314880\"]\n  10 -> 12 [size =\"8314880\"]\n  10 -> 14 [size =\"8314880\"]\n  11 [size=\"74371072\", alpha=\"0.08\", expect_size=\"37185536\"] \n  11 -> 16 [size =\"37185536\"]\n  11 -> 17 [size =\"37185536\"]\n  12 [size=\"22980608\", alpha=\"0.10\", expect_size=\"11490304\"] \n  12 -> 15 [size =\"11490304\"]\n  12 -> 16 [size =\"11490304\"]\n  12 -> 17 [size =\"11490304\"]\n  12 -> 18 [size =\"11490304\"]\n  13 [size=\"90578944\", alpha=\"0.09\", expect_size=\"45289472\"] \n  13 -> 16 [size =\"45289472\"]\n  13 -> 17 [size =\"45289472\"]\n  13 -> 18 [size =\"45289472\"]\n  14 [size=\"86605824\", alpha=\"0.18\", expect_size=\"43302912\"] \n  14 -> 16 [size =\"43302912\"]\n  14 -> 17 [size =\"43302912\"]\n  14 -> 18 [size =\"43302912\"]\n  15 [size=\"56930304\", alpha=\"0.05\", expect_size=\"28465152\"] \n  15 -> 20 [size =\"28465152\"]\n  15 -> 21 [size =\"28465152\"]\n  16 [size=\"87705600\", alpha=\"0.03\", expect_size=\"43852800\"] \n  16 -> 21 [size =\"43852800\"]\n  16 -> 22 [size =\"43852800\"]\n  17 [size=\"23871488\", alpha=\"0.19\", expect_size=\"11935744\"] \n  17 -> 19 [size =\"11935744\"]\n  17 -> 20 [size =\"11935744\"]\n  17 -> 21 [size =\"11935744\"]\n  17 -> 22 [size =\"11935744\"]\n  18 [size=\"75466752\", alpha=\"0.15\", expect_size=\"37733376\"] \n  18 -> 20 [size =\"37733376\"]\n  18 -> 21 [size =\"37733376\"]\n  18 -> 22 [size =\"37733376\"]\n  19 [size=\"18194432\", alpha=\"0.14\", expect_size=\"9097216\"] \n  19 -> 25 [size =\"9097216\"]\n  19 -> 26 [size =\"9097216\"]\n  20 [size=\"89993216\", alpha=\"0.14\", expect_size=\"44996608\"] \n  20 -> 24 [size =\"44996608\"]\n  21 [size=\"37574656\", alpha=\"0.14\", expect_size=\"18787328\"] \n  21 -> 26 [size =\"18787328\"]\n  22 [size=\"73486336\", alpha=\"0.06\", expect_size=\"36743168\"] \n  22 -> 23 [size =\"36743168\"]\n  22 -> 26 [size =\"36743168\"]\n  23 [size=\"27686912\", alpha=\"0.13\", expect_size=\"13843456\"] \n  23 -> 27 [size =\"13843456\"]\n  23 -> 28 [size =\"13843456\"]\n  23 -> 31 [size =\"13843456\"]\n  24 [size=\"71153664\", alpha=\"0.02\", expect_size=\"35576832\"] \n  24 -> 27 [size =\"35576832\"]\n  24 -> 30 [size =\"35576832\"]\n  25 [size=\"60567552\", alpha=\"0.08\", expect_size=\"30283776\"] \n  25 -> 27 [size =\"30283776\"]\n  25 -> 29 [size =\"30283776\"]\n  25 -> 31 [size =\"30283776\"]\n  26 [size=\"84088832\", alpha=\"0.07\", expect_size=\"42044416\"] \n  26 -> 27 [size =\"42044416\"]\n  27 [size=\"96288768\", alpha=\"0.14\", expect_size=\"48144384\"] \n  27 -> 33 [size =\"48144384\"]\n  27 -> 34 [size =\"48144384\"]\n  28 [size=\"90355712\", alpha=\"0.04\", expect_size=\"45177856\"] \n  28 -> 32 [size =\"45177856\"]\n  28 -> 34 [size =\"45177856\"]\n  28 -> 35 [size =\"45177856\"]\n  29 [size=\"66623488\", alpha=\"0.07\", expect_size=\"33311744\"] \n  29 -> 33 [size =\"33311744\"]\n  29 -> 34 [size =\"33311744\"]\n  30 [size=\"38662144\", alpha=\"0.11\", expect_size=\"19331072\"] \n  31 [size=\"12060672\", alpha=\"0.09\", expect_size=\"6030336\"] \n  31 -> 34 [size =\"6030336\"]\n  32 [size=\"77056000\", alpha=\"0.10\", expect_size=\"38528000\"] \n  33 [size=\"103751680\", alpha=\"0.07\", expect_size=\"51875840\"] \n  34 [size=\"70686720\", alpha=\"0.01\", expect_size=\"35343360\"] \n  35 [size=\"81987584\", alpha=\"0.05\", expect_size=\"40993792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38348800\", alpha=\"0.01\", expect_size=\"19174400\"] \n  1 -> 5 [size =\"19174400\"]\n  1 -> 6 [size =\"19174400\"]\n  1 -> 7 [size =\"19174400\"]\n  1 -> 8 [size =\"19174400\"]\n  2 [size=\"67745792\", alpha=\"0.05\", expect_size=\"33872896\"] \n  2 -> 6 [size =\"33872896\"]\n  2 -> 7 [size =\"33872896\"]\n  2 -> 8 [size =\"33872896\"]\n  3 [size=\"63809536\", alpha=\"0.10\", expect_size=\"31904768\"] \n  3 -> 6 [size =\"31904768\"]\n  3 -> 7 [size =\"31904768\"]\n  3 -> 8 [size =\"31904768\"]\n  4 [size=\"47247360\", alpha=\"0.14\", expect_size=\"23623680\"] \n  4 -> 6 [size =\"23623680\"]\n  4 -> 7 [size =\"23623680\"]\n  5 [size=\"69107712\", alpha=\"0.14\", expect_size=\"34553856\"] \n  5 -> 11 [size =\"34553856\"]\n  5 -> 12 [size =\"34553856\"]\n  5 -> 13 [size =\"34553856\"]\n  6 [size=\"74450944\", alpha=\"0.01\", expect_size=\"37225472\"] \n  6 -> 11 [size =\"37225472\"]\n  6 -> 12 [size =\"37225472\"]\n  6 -> 13 [size =\"37225472\"]\n  7 [size=\"65589248\", alpha=\"0.03\", expect_size=\"32794624\"] \n  7 -> 9 [size =\"32794624\"]\n  7 -> 10 [size =\"32794624\"]\n  7 -> 11 [size =\"32794624\"]\n  7 -> 12 [size =\"32794624\"]\n  8 [size=\"28854272\", alpha=\"0.05\", expect_size=\"14427136\"] \n  8 -> 11 [size =\"14427136\"]\n  8 -> 12 [size =\"14427136\"]\n  8 -> 13 [size =\"14427136\"]\n  9 [size=\"31133696\", alpha=\"0.00\", expect_size=\"15566848\"] \n  9 -> 14 [size =\"15566848\"]\n  9 -> 15 [size =\"15566848\"]\n  9 -> 17 [size =\"15566848\"]\n  9 -> 18 [size =\"15566848\"]\n  10 [size=\"95240192\", alpha=\"0.11\", expect_size=\"47620096\"] \n  10 -> 16 [size =\"47620096\"]\n  10 -> 17 [size =\"47620096\"]\n  11 [size=\"77602816\", alpha=\"0.06\", expect_size=\"38801408\"] \n  11 -> 14 [size =\"38801408\"]\n  11 -> 16 [size =\"38801408\"]\n  12 [size=\"83808256\", alpha=\"0.14\", expect_size=\"41904128\"] \n  12 -> 17 [size =\"41904128\"]\n  13 [size=\"13504512\", alpha=\"0.07\", expect_size=\"6752256\"] \n  13 -> 16 [size =\"6752256\"]\n  13 -> 17 [size =\"6752256\"]\n  13 -> 18 [size =\"6752256\"]\n  14 [size=\"61822976\", alpha=\"0.04\", expect_size=\"30911488\"] \n  14 -> 20 [size =\"30911488\"]\n  14 -> 21 [size =\"30911488\"]\n  15 [size=\"34115584\", alpha=\"0.02\", expect_size=\"17057792\"] \n  15 -> 19 [size =\"17057792\"]\n  15 -> 20 [size =\"17057792\"]\n  15 -> 21 [size =\"17057792\"]\n  16 [size=\"100225024\", alpha=\"0.09\", expect_size=\"50112512\"] \n  16 -> 19 [size =\"50112512\"]\n  16 -> 20 [size =\"50112512\"]\n  16 -> 21 [size =\"50112512\"]\n  16 -> 22 [size =\"50112512\"]\n  17 [size=\"104413184\", alpha=\"0.13\", expect_size=\"52206592\"] \n  17 -> 19 [size =\"52206592\"]\n  17 -> 20 [size =\"52206592\"]\n  17 -> 21 [size =\"52206592\"]\n  17 -> 22 [size =\"52206592\"]\n  18 [size=\"22665216\", alpha=\"0.19\", expect_size=\"11332608\"] \n  18 -> 20 [size =\"11332608\"]\n  18 -> 21 [size =\"11332608\"]\n  18 -> 22 [size =\"11332608\"]\n  18 -> 23 [size =\"11332608\"]\n  19 [size=\"44990464\", alpha=\"0.18\", expect_size=\"22495232\"] \n  19 -> 24 [size =\"22495232\"]\n  19 -> 25 [size =\"22495232\"]\n  19 -> 26 [size =\"22495232\"]\n  19 -> 27 [size =\"22495232\"]\n  19 -> 28 [size =\"22495232\"]\n  20 [size=\"45459456\", alpha=\"0.09\", expect_size=\"22729728\"] \n  20 -> 25 [size =\"22729728\"]\n  20 -> 25 [size =\"22729728\"]\n  20 -> 26 [size =\"22729728\"]\n  20 -> 27 [size =\"22729728\"]\n  20 -> 28 [size =\"22729728\"]\n  21 [size=\"99276800\", alpha=\"0.06\", expect_size=\"49638400\"] \n  21 -> 26 [size =\"49638400\"]\n  21 -> 27 [size =\"49638400\"]\n  21 -> 28 [size =\"49638400\"]\n  22 [size=\"32086016\", alpha=\"0.15\", expect_size=\"16043008\"] \n  22 -> 24 [size =\"16043008\"]\n  22 -> 25 [size =\"16043008\"]\n  22 -> 26 [size =\"16043008\"]\n  22 -> 27 [size =\"16043008\"]\n  22 -> 28 [size =\"16043008\"]\n  23 [size=\"97120256\", alpha=\"0.15\", expect_size=\"48560128\"] \n  23 -> 24 [size =\"48560128\"]\n  23 -> 25 [size =\"48560128\"]\n  23 -> 26 [size =\"48560128\"]\n  23 -> 27 [size =\"48560128\"]\n  23 -> 28 [size =\"48560128\"]\n  24 [size=\"33527808\", alpha=\"0.04\", expect_size=\"16763904\"] \n  24 -> 29 [size =\"16763904\"]\n  24 -> 31 [size =\"16763904\"]\n  24 -> 32 [size =\"16763904\"]\n  24 -> 33 [size =\"16763904\"]\n  25 [size=\"52924416\", alpha=\"0.04\", expect_size=\"26462208\"] \n  25 -> 29 [size =\"26462208\"]\n  25 -> 31 [size =\"26462208\"]\n  25 -> 33 [size =\"26462208\"]\n  26 [size=\"62119936\", alpha=\"0.19\", expect_size=\"31059968\"] \n  26 -> 29 [size =\"31059968\"]\n  26 -> 31 [size =\"31059968\"]\n  26 -> 32 [size =\"31059968\"]\n  26 -> 33 [size =\"31059968\"]\n  27 [size=\"103022592\", alpha=\"0.04\", expect_size=\"51511296\"] \n  27 -> 29 [size =\"51511296\"]\n  27 -> 32 [size =\"51511296\"]\n  27 -> 33 [size =\"51511296\"]\n  28 [size=\"71094272\", alpha=\"0.14\", expect_size=\"35547136\"] \n  28 -> 30 [size =\"35547136\"]\n  28 -> 31 [size =\"35547136\"]\n  29 [size=\"65900544\", alpha=\"0.08\", expect_size=\"32950272\"] \n  29 -> 34 [size =\"32950272\"]\n  30 [size=\"55404544\", alpha=\"0.01\", expect_size=\"27702272\"] \n  30 -> 35 [size =\"27702272\"]\n  31 [size=\"97280000\", alpha=\"0.07\", expect_size=\"48640000\"] \n  32 [size=\"30646272\", alpha=\"0.09\", expect_size=\"15323136\"] \n  33 [size=\"101509120\", alpha=\"0.11\", expect_size=\"50754560\"] \n  33 -> 34 [size =\"50754560\"]\n  34 [size=\"80076800\", alpha=\"0.05\", expect_size=\"40038400\"] \n  35 [size=\"97486848\", alpha=\"0.03\", expect_size=\"48743424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64733184\", alpha=\"0.10\", expect_size=\"32366592\"] \n  1 -> 4 [size =\"32366592\"]\n  1 -> 5 [size =\"32366592\"]\n  1 -> 6 [size =\"32366592\"]\n  1 -> 8 [size =\"32366592\"]\n  2 [size=\"53602304\", alpha=\"0.17\", expect_size=\"26801152\"] \n  2 -> 4 [size =\"26801152\"]\n  2 -> 9 [size =\"26801152\"]\n  3 [size=\"82927616\", alpha=\"0.07\", expect_size=\"41463808\"] \n  3 -> 6 [size =\"41463808\"]\n  3 -> 7 [size =\"41463808\"]\n  3 -> 9 [size =\"41463808\"]\n  4 [size=\"71491584\", alpha=\"0.10\", expect_size=\"35745792\"] \n  4 -> 11 [size =\"35745792\"]\n  4 -> 12 [size =\"35745792\"]\n  4 -> 13 [size =\"35745792\"]\n  5 [size=\"103127040\", alpha=\"0.15\", expect_size=\"51563520\"] \n  5 -> 11 [size =\"51563520\"]\n  5 -> 13 [size =\"51563520\"]\n  6 [size=\"50958336\", alpha=\"0.16\", expect_size=\"25479168\"] \n  7 [size=\"87648256\", alpha=\"0.05\", expect_size=\"43824128\"] \n  7 -> 10 [size =\"43824128\"]\n  7 -> 11 [size =\"43824128\"]\n  8 [size=\"40908800\", alpha=\"0.06\", expect_size=\"20454400\"] \n  8 -> 11 [size =\"20454400\"]\n  8 -> 12 [size =\"20454400\"]\n  9 [size=\"25522176\", alpha=\"0.17\", expect_size=\"12761088\"] \n  9 -> 12 [size =\"12761088\"]\n  10 [size=\"98486272\", alpha=\"0.05\", expect_size=\"49243136\"] \n  10 -> 14 [size =\"49243136\"]\n  10 -> 15 [size =\"49243136\"]\n  10 -> 16 [size =\"49243136\"]\n  10 -> 18 [size =\"49243136\"]\n  11 [size=\"23980032\", alpha=\"0.07\", expect_size=\"11990016\"] \n  11 -> 15 [size =\"11990016\"]\n  11 -> 16 [size =\"11990016\"]\n  12 [size=\"69691392\", alpha=\"0.06\", expect_size=\"34845696\"] \n  12 -> 16 [size =\"34845696\"]\n  12 -> 18 [size =\"34845696\"]\n  13 [size=\"53776384\", alpha=\"0.03\", expect_size=\"26888192\"] \n  13 -> 14 [size =\"26888192\"]\n  13 -> 15 [size =\"26888192\"]\n  13 -> 17 [size =\"26888192\"]\n  13 -> 18 [size =\"26888192\"]\n  14 [size=\"85334016\", alpha=\"0.20\", expect_size=\"42667008\"] \n  14 -> 20 [size =\"42667008\"]\n  14 -> 21 [size =\"42667008\"]\n  15 [size=\"40460288\", alpha=\"0.09\", expect_size=\"20230144\"] \n  15 -> 19 [size =\"20230144\"]\n  15 -> 20 [size =\"20230144\"]\n  15 -> 22 [size =\"20230144\"]\n  15 -> 23 [size =\"20230144\"]\n  16 [size=\"16795648\", alpha=\"0.07\", expect_size=\"8397824\"] \n  16 -> 20 [size =\"8397824\"]\n  16 -> 21 [size =\"8397824\"]\n  16 -> 22 [size =\"8397824\"]\n  17 [size=\"92506112\", alpha=\"0.11\", expect_size=\"46253056\"] \n  17 -> 19 [size =\"46253056\"]\n  17 -> 21 [size =\"46253056\"]\n  17 -> 22 [size =\"46253056\"]\n  18 [size=\"22171648\", alpha=\"0.02\", expect_size=\"11085824\"] \n  19 [size=\"52475904\", alpha=\"0.18\", expect_size=\"26237952\"] \n  19 -> 25 [size =\"26237952\"]\n  20 [size=\"36694016\", alpha=\"0.05\", expect_size=\"18347008\"] \n  20 -> 24 [size =\"18347008\"]\n  20 -> 27 [size =\"18347008\"]\n  20 -> 28 [size =\"18347008\"]\n  21 [size=\"59619328\", alpha=\"0.03\", expect_size=\"29809664\"] \n  21 -> 25 [size =\"29809664\"]\n  21 -> 26 [size =\"29809664\"]\n  21 -> 27 [size =\"29809664\"]\n  21 -> 28 [size =\"29809664\"]\n  22 [size=\"92971008\", alpha=\"0.10\", expect_size=\"46485504\"] \n  22 -> 25 [size =\"46485504\"]\n  22 -> 27 [size =\"46485504\"]\n  22 -> 28 [size =\"46485504\"]\n  23 [size=\"26562560\", alpha=\"0.13\", expect_size=\"13281280\"] \n  23 -> 25 [size =\"13281280\"]\n  24 [size=\"42498048\", alpha=\"0.08\", expect_size=\"21249024\"] \n  24 -> 32 [size =\"21249024\"]\n  25 [size=\"41697280\", alpha=\"0.03\", expect_size=\"20848640\"] \n  25 -> 31 [size =\"20848640\"]\n  26 [size=\"86282240\", alpha=\"0.07\", expect_size=\"43141120\"] \n  26 -> 30 [size =\"43141120\"]\n  26 -> 31 [size =\"43141120\"]\n  27 [size=\"22605824\", alpha=\"0.07\", expect_size=\"11302912\"] \n  27 -> 29 [size =\"11302912\"]\n  27 -> 31 [size =\"11302912\"]\n  28 [size=\"73648128\", alpha=\"0.13\", expect_size=\"36824064\"] \n  28 -> 29 [size =\"36824064\"]\n  28 -> 31 [size =\"36824064\"]\n  29 [size=\"83562496\", alpha=\"0.03\", expect_size=\"41781248\"] \n  29 -> 33 [size =\"41781248\"]\n  29 -> 35 [size =\"41781248\"]\n  30 [size=\"76316672\", alpha=\"0.11\", expect_size=\"38158336\"] \n  30 -> 33 [size =\"38158336\"]\n  30 -> 35 [size =\"38158336\"]\n  31 [size=\"99762176\", alpha=\"0.02\", expect_size=\"49881088\"] \n  31 -> 33 [size =\"49881088\"]\n  31 -> 34 [size =\"49881088\"]\n  32 [size=\"19404800\", alpha=\"0.06\", expect_size=\"9702400\"] \n  32 -> 34 [size =\"9702400\"]\n  32 -> 35 [size =\"9702400\"]\n  33 [size=\"67104768\", alpha=\"0.19\", expect_size=\"33552384\"] \n  34 [size=\"32188416\", alpha=\"0.07\", expect_size=\"16094208\"] \n  35 [size=\"70035456\", alpha=\"0.02\", expect_size=\"35017728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28004352\", alpha=\"0.00\", expect_size=\"14002176\"] \n  1 -> 6 [size =\"14002176\"]\n  1 -> 8 [size =\"14002176\"]\n  1 -> 9 [size =\"14002176\"]\n  2 [size=\"36945920\", alpha=\"0.19\", expect_size=\"18472960\"] \n  2 -> 6 [size =\"18472960\"]\n  2 -> 8 [size =\"18472960\"]\n  3 [size=\"34117632\", alpha=\"0.04\", expect_size=\"17058816\"] \n  3 -> 5 [size =\"17058816\"]\n  3 -> 7 [size =\"17058816\"]\n  3 -> 8 [size =\"17058816\"]\n  3 -> 9 [size =\"17058816\"]\n  4 [size=\"74131456\", alpha=\"0.17\", expect_size=\"37065728\"] \n  4 -> 5 [size =\"37065728\"]\n  4 -> 9 [size =\"37065728\"]\n  5 [size=\"22345728\", alpha=\"0.03\", expect_size=\"11172864\"] \n  5 -> 10 [size =\"11172864\"]\n  5 -> 11 [size =\"11172864\"]\n  5 -> 13 [size =\"11172864\"]\n  5 -> 15 [size =\"11172864\"]\n  6 [size=\"26550272\", alpha=\"0.15\", expect_size=\"13275136\"] \n  6 -> 10 [size =\"13275136\"]\n  6 -> 11 [size =\"13275136\"]\n  6 -> 12 [size =\"13275136\"]\n  7 [size=\"79955968\", alpha=\"0.09\", expect_size=\"39977984\"] \n  7 -> 10 [size =\"39977984\"]\n  7 -> 13 [size =\"39977984\"]\n  7 -> 14 [size =\"39977984\"]\n  8 [size=\"100034560\", alpha=\"0.15\", expect_size=\"50017280\"] \n  8 -> 14 [size =\"50017280\"]\n  9 [size=\"68233216\", alpha=\"0.08\", expect_size=\"34116608\"] \n  9 -> 11 [size =\"34116608\"]\n  9 -> 14 [size =\"34116608\"]\n  9 -> 15 [size =\"34116608\"]\n  10 [size=\"34371584\", alpha=\"0.10\", expect_size=\"17185792\"] \n  10 -> 16 [size =\"17185792\"]\n  11 [size=\"15560704\", alpha=\"0.16\", expect_size=\"7780352\"] \n  11 -> 16 [size =\"7780352\"]\n  11 -> 18 [size =\"7780352\"]\n  11 -> 19 [size =\"7780352\"]\n  11 -> 20 [size =\"7780352\"]\n  12 [size=\"15898624\", alpha=\"0.01\", expect_size=\"7949312\"] \n  12 -> 16 [size =\"7949312\"]\n  12 -> 19 [size =\"7949312\"]\n  12 -> 19 [size =\"7949312\"]\n  13 [size=\"104177664\", alpha=\"0.17\", expect_size=\"52088832\"] \n  13 -> 20 [size =\"52088832\"]\n  14 [size=\"28532736\", alpha=\"0.01\", expect_size=\"14266368\"] \n  14 -> 16 [size =\"14266368\"]\n  14 -> 17 [size =\"14266368\"]\n  14 -> 18 [size =\"14266368\"]\n  14 -> 20 [size =\"14266368\"]\n  15 [size=\"14325760\", alpha=\"0.03\", expect_size=\"7162880\"] \n  15 -> 18 [size =\"7162880\"]\n  15 -> 20 [size =\"7162880\"]\n  16 [size=\"29112320\", alpha=\"0.19\", expect_size=\"14556160\"] \n  16 -> 22 [size =\"14556160\"]\n  16 -> 23 [size =\"14556160\"]\n  17 [size=\"101146624\", alpha=\"0.11\", expect_size=\"50573312\"] \n  17 -> 23 [size =\"50573312\"]\n  18 [size=\"48582656\", alpha=\"0.17\", expect_size=\"24291328\"] \n  18 -> 25 [size =\"24291328\"]\n  19 [size=\"22822912\", alpha=\"0.00\", expect_size=\"11411456\"] \n  19 -> 21 [size =\"11411456\"]\n  19 -> 22 [size =\"11411456\"]\n  19 -> 23 [size =\"11411456\"]\n  19 -> 24 [size =\"11411456\"]\n  20 [size=\"58677248\", alpha=\"0.13\", expect_size=\"29338624\"] \n  20 -> 23 [size =\"29338624\"]\n  20 -> 24 [size =\"29338624\"]\n  21 [size=\"12752896\", alpha=\"0.08\", expect_size=\"6376448\"] \n  21 -> 26 [size =\"6376448\"]\n  21 -> 27 [size =\"6376448\"]\n  22 [size=\"87740416\", alpha=\"0.10\", expect_size=\"43870208\"] \n  22 -> 27 [size =\"43870208\"]\n  22 -> 28 [size =\"43870208\"]\n  22 -> 29 [size =\"43870208\"]\n  23 [size=\"91674624\", alpha=\"0.16\", expect_size=\"45837312\"] \n  23 -> 28 [size =\"45837312\"]\n  23 -> 28 [size =\"45837312\"]\n  23 -> 29 [size =\"45837312\"]\n  24 [size=\"76132352\", alpha=\"0.16\", expect_size=\"38066176\"] \n  24 -> 26 [size =\"38066176\"]\n  24 -> 29 [size =\"38066176\"]\n  24 -> 29 [size =\"38066176\"]\n  25 [size=\"80525312\", alpha=\"0.19\", expect_size=\"40262656\"] \n  25 -> 26 [size =\"40262656\"]\n  25 -> 27 [size =\"40262656\"]\n  25 -> 28 [size =\"40262656\"]\n  26 [size=\"93575168\", alpha=\"0.05\", expect_size=\"46787584\"] \n  26 -> 30 [size =\"46787584\"]\n  26 -> 32 [size =\"46787584\"]\n  27 [size=\"89131008\", alpha=\"0.05\", expect_size=\"44565504\"] \n  28 [size=\"47828992\", alpha=\"0.05\", expect_size=\"23914496\"] \n  28 -> 30 [size =\"23914496\"]\n  28 -> 31 [size =\"23914496\"]\n  28 -> 32 [size =\"23914496\"]\n  29 [size=\"34758656\", alpha=\"0.17\", expect_size=\"17379328\"] \n  29 -> 30 [size =\"17379328\"]\n  29 -> 32 [size =\"17379328\"]\n  30 [size=\"36640768\", alpha=\"0.14\", expect_size=\"18320384\"] \n  30 -> 35 [size =\"18320384\"]\n  31 [size=\"95813632\", alpha=\"0.11\", expect_size=\"47906816\"] \n  31 -> 33 [size =\"47906816\"]\n  31 -> 35 [size =\"47906816\"]\n  32 [size=\"41052160\", alpha=\"0.11\", expect_size=\"20526080\"] \n  32 -> 33 [size =\"20526080\"]\n  32 -> 34 [size =\"20526080\"]\n  33 [size=\"87562240\", alpha=\"0.10\", expect_size=\"43781120\"] \n  34 [size=\"70234112\", alpha=\"0.12\", expect_size=\"35117056\"] \n  35 [size=\"52711424\", alpha=\"0.16\", expect_size=\"26355712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160662187\", alpha=\"0.04\", expect_size=\"48198656\"] \n  1 -> 2 [size =\"48198656\"]\n  2 [size=\"41536853\", alpha=\"0.12\", expect_size=\"12461056\"] \n  2 -> 3 [size =\"12461056\"]\n  3 [size=\"28968960\", alpha=\"0.02\", expect_size=\"8690688\"] \n  3 -> 4 [size =\"8690688\"]\n  3 -> 5 [size =\"8690688\"]\n  4 [size=\"105738240\", alpha=\"0.18\", expect_size=\"31721472\"] \n  5 [size=\"28327253\", alpha=\"0.15\", expect_size=\"8498176\"] \n  5 -> 6 [size =\"8498176\"]\n  5 -> 7 [size =\"8498176\"]\n  6 [size=\"89494187\", alpha=\"0.14\", expect_size=\"26848256\"] \n  7 [size=\"92665173\", alpha=\"0.15\", expect_size=\"27799552\"] \n  7 -> 8 [size =\"27799552\"]\n  7 -> 9 [size =\"27799552\"]\n  8 [size=\"98324480\", alpha=\"0.19\", expect_size=\"29497344\"] \n  8 -> 10 [size =\"29497344\"]\n  9 [size=\"28788053\", alpha=\"0.11\", expect_size=\"8636416\"] \n  9 -> 11 [size =\"8636416\"]\n  10 [size=\"55278933\", alpha=\"0.15\", expect_size=\"16583680\"] \n  11 [size=\"142810453\", alpha=\"0.10\", expect_size=\"42843136\"] \n  11 -> 12 [size =\"42843136\"]\n  12 [size=\"19312640\", alpha=\"0.10\", expect_size=\"5793792\"] \n  12 -> 13 [size =\"5793792\"]\n  12 -> 14 [size =\"5793792\"]\n  13 [size=\"116736000\", alpha=\"0.11\", expect_size=\"35020800\"] \n  13 -> 15 [size =\"35020800\"]\n  14 [size=\"135338667\", alpha=\"0.01\", expect_size=\"40601600\"] \n  14 -> 16 [size =\"40601600\"]\n  15 [size=\"121053867\", alpha=\"0.08\", expect_size=\"36316160\"] \n  15 -> 17 [size =\"36316160\"]\n  16 [size=\"83633493\", alpha=\"0.12\", expect_size=\"25090048\"] \n  17 [size=\"37976747\", alpha=\"0.07\", expect_size=\"11393024\"] \n  17 -> 18 [size =\"11393024\"]\n  17 -> 19 [size =\"11393024\"]\n  18 [size=\"156900693\", alpha=\"0.17\", expect_size=\"47070208\"] \n  19 [size=\"151425707\", alpha=\"0.12\", expect_size=\"45427712\"] \n  19 -> 20 [size =\"45427712\"]\n  20 [size=\"82008747\", alpha=\"0.01\", expect_size=\"24602624\"] \n  20 -> 21 [size =\"24602624\"]\n  21 [size=\"43352747\", alpha=\"0.09\", expect_size=\"13005824\"] \n  21 -> 22 [size =\"13005824\"]\n  21 -> 23 [size =\"13005824\"]\n  22 [size=\"125607253\", alpha=\"0.20\", expect_size=\"37682176\"] \n  23 [size=\"49749333\", alpha=\"0.12\", expect_size=\"14924800\"] \n  23 -> 24 [size =\"14924800\"]\n  24 [size=\"135099733\", alpha=\"0.16\", expect_size=\"40529920\"] \n  24 -> 25 [size =\"40529920\"]\n  24 -> 26 [size =\"40529920\"]\n  25 [size=\"140045653\", alpha=\"0.01\", expect_size=\"42013696\"] \n  25 -> 27 [size =\"42013696\"]\n  26 [size=\"47202987\", alpha=\"0.15\", expect_size=\"14160896\"] \n  27 [size=\"139018240\", alpha=\"0.18\", expect_size=\"41705472\"] \n  27 -> 28 [size =\"41705472\"]\n  27 -> 29 [size =\"41705472\"]\n  28 [size=\"38505813\", alpha=\"0.12\", expect_size=\"11551744\"] \n  29 [size=\"18162347\", alpha=\"0.08\", expect_size=\"5448704\"] \n  29 -> 30 [size =\"5448704\"]\n  30 [size=\"109694293\", alpha=\"0.08\", expect_size=\"32908288\"] \n  30 -> 31 [size =\"32908288\"]\n  30 -> 32 [size =\"32908288\"]\n  31 [size=\"119435947\", alpha=\"0.04\", expect_size=\"35830784\"] \n  31 -> 33 [size =\"35830784\"]\n  32 [size=\"33290240\", alpha=\"0.00\", expect_size=\"9987072\"] \n  33 [size=\"32600747\", alpha=\"0.09\", expect_size=\"9780224\"] \n  33 -> 34 [size =\"9780224\"]\n  33 -> 35 [size =\"9780224\"]\n  34 [size=\"128866987\", alpha=\"0.13\", expect_size=\"38660096\"] \n  35 [size=\"95774720\", alpha=\"0.10\", expect_size=\"28732416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93647360\", alpha=\"0.18\", expect_size=\"37458944\"] \n  1 -> 3 [size =\"37458944\"]\n  2 [size=\"109268480\", alpha=\"0.05\", expect_size=\"43707392\"] \n  2 -> 3 [size =\"43707392\"]\n  2 -> 4 [size =\"43707392\"]\n  3 [size=\"75911680\", alpha=\"0.17\", expect_size=\"30364672\"] \n  3 -> 5 [size =\"30364672\"]\n  3 -> 6 [size =\"30364672\"]\n  4 [size=\"126983680\", alpha=\"0.03\", expect_size=\"50793472\"] \n  4 -> 5 [size =\"50793472\"]\n  4 -> 6 [size =\"50793472\"]\n  5 [size=\"18106880\", alpha=\"0.12\", expect_size=\"7242752\"] \n  5 -> 7 [size =\"7242752\"]\n  6 [size=\"32192000\", alpha=\"0.10\", expect_size=\"12876800\"] \n  6 -> 7 [size =\"12876800\"]\n  7 [size=\"14722560\", alpha=\"0.15\", expect_size=\"5889024\"] \n  7 -> 8 [size =\"5889024\"]\n  8 [size=\"30269440\", alpha=\"0.19\", expect_size=\"12107776\"] \n  8 -> 9 [size =\"12107776\"]\n  9 [size=\"28392960\", alpha=\"0.18\", expect_size=\"11357184\"] \n  9 -> 10 [size =\"11357184\"]\n  10 [size=\"64860160\", alpha=\"0.01\", expect_size=\"25944064\"] \n  10 -> 11 [size =\"25944064\"]\n  11 [size=\"92474880\", alpha=\"0.03\", expect_size=\"36989952\"] \n  11 -> 12 [size =\"36989952\"]\n  12 [size=\"79887360\", alpha=\"0.07\", expect_size=\"31954944\"] \n  12 -> 13 [size =\"31954944\"]\n  13 [size=\"111285760\", alpha=\"0.08\", expect_size=\"44514304\"] \n  13 -> 14 [size =\"44514304\"]\n  13 -> 15 [size =\"44514304\"]\n  14 [size=\"92093440\", alpha=\"0.16\", expect_size=\"36837376\"] \n  14 -> 16 [size =\"36837376\"]\n  14 -> 17 [size =\"36837376\"]\n  15 [size=\"112253440\", alpha=\"0.14\", expect_size=\"44901376\"] \n  15 -> 16 [size =\"44901376\"]\n  15 -> 17 [size =\"44901376\"]\n  16 [size=\"62794240\", alpha=\"0.02\", expect_size=\"25117696\"] \n  16 -> 18 [size =\"25117696\"]\n  16 -> 19 [size =\"25117696\"]\n  17 [size=\"123136000\", alpha=\"0.04\", expect_size=\"49254400\"] \n  17 -> 18 [size =\"49254400\"]\n  17 -> 19 [size =\"49254400\"]\n  18 [size=\"91520000\", alpha=\"0.14\", expect_size=\"36608000\"] \n  18 -> 20 [size =\"36608000\"]\n  18 -> 21 [size =\"36608000\"]\n  19 [size=\"87741440\", alpha=\"0.14\", expect_size=\"35096576\"] \n  19 -> 20 [size =\"35096576\"]\n  19 -> 21 [size =\"35096576\"]\n  20 [size=\"74603520\", alpha=\"0.14\", expect_size=\"29841408\"] \n  20 -> 22 [size =\"29841408\"]\n  21 [size=\"80504320\", alpha=\"0.07\", expect_size=\"32201728\"] \n  21 -> 22 [size =\"32201728\"]\n  22 [size=\"96227840\", alpha=\"0.16\", expect_size=\"38491136\"] \n  22 -> 23 [size =\"38491136\"]\n  23 [size=\"19205120\", alpha=\"0.17\", expect_size=\"7682048\"] \n  23 -> 24 [size =\"7682048\"]\n  24 [size=\"63774720\", alpha=\"0.16\", expect_size=\"25509888\"] \n  24 -> 25 [size =\"25509888\"]\n  25 [size=\"38722560\", alpha=\"0.16\", expect_size=\"15489024\"] \n  25 -> 26 [size =\"15489024\"]\n  25 -> 27 [size =\"15489024\"]\n  26 [size=\"118952960\", alpha=\"0.20\", expect_size=\"47581184\"] \n  26 -> 28 [size =\"47581184\"]\n  27 [size=\"14686720\", alpha=\"0.04\", expect_size=\"5874688\"] \n  27 -> 28 [size =\"5874688\"]\n  28 [size=\"37895680\", alpha=\"0.10\", expect_size=\"15158272\"] \n  28 -> 29 [size =\"15158272\"]\n  28 -> 30 [size =\"15158272\"]\n  29 [size=\"120995840\", alpha=\"0.20\", expect_size=\"48398336\"] \n  29 -> 31 [size =\"48398336\"]\n  30 [size=\"86929920\", alpha=\"0.18\", expect_size=\"34771968\"] \n  30 -> 31 [size =\"34771968\"]\n  31 [size=\"50147840\", alpha=\"0.09\", expect_size=\"20059136\"] \n  31 -> 32 [size =\"20059136\"]\n  31 -> 33 [size =\"20059136\"]\n  32 [size=\"91192320\", alpha=\"0.12\", expect_size=\"36476928\"] \n  32 -> 34 [size =\"36476928\"]\n  33 [size=\"70295040\", alpha=\"0.12\", expect_size=\"28118016\"] \n  33 -> 34 [size =\"28118016\"]\n  34 [size=\"50263040\", alpha=\"0.05\", expect_size=\"20105216\"] \n  34 -> 35 [size =\"20105216\"]\n  35 [size=\"27008000\", alpha=\"0.14\", expect_size=\"10803200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132741120\", alpha=\"0.16\", expect_size=\"39822336\"] \n  1 -> 2 [size =\"39822336\"]\n  2 [size=\"144203093\", alpha=\"0.02\", expect_size=\"43260928\"] \n  2 -> 3 [size =\"43260928\"]\n  3 [size=\"75431253\", alpha=\"0.15\", expect_size=\"22629376\"] \n  3 -> 4 [size =\"22629376\"]\n  4 [size=\"114568533\", alpha=\"0.06\", expect_size=\"34370560\"] \n  4 -> 5 [size =\"34370560\"]\n  5 [size=\"160399360\", alpha=\"0.14\", expect_size=\"48119808\"] \n  5 -> 6 [size =\"48119808\"]\n  6 [size=\"132788907\", alpha=\"0.02\", expect_size=\"39836672\"] \n  6 -> 7 [size =\"39836672\"]\n  7 [size=\"113653760\", alpha=\"0.16\", expect_size=\"34096128\"] \n  7 -> 8 [size =\"34096128\"]\n  8 [size=\"136448000\", alpha=\"0.12\", expect_size=\"40934400\"] \n  8 -> 9 [size =\"40934400\"]\n  9 [size=\"58617173\", alpha=\"0.03\", expect_size=\"17585152\"] \n  9 -> 10 [size =\"17585152\"]\n  10 [size=\"127945387\", alpha=\"0.16\", expect_size=\"38383616\"] \n  10 -> 11 [size =\"38383616\"]\n  11 [size=\"130457600\", alpha=\"0.05\", expect_size=\"39137280\"] \n  11 -> 12 [size =\"39137280\"]\n  12 [size=\"101771947\", alpha=\"0.15\", expect_size=\"30531584\"] \n  12 -> 13 [size =\"30531584\"]\n  13 [size=\"118988800\", alpha=\"0.10\", expect_size=\"35696640\"] \n  13 -> 14 [size =\"35696640\"]\n  14 [size=\"82455893\", alpha=\"0.09\", expect_size=\"24736768\"] \n  14 -> 15 [size =\"24736768\"]\n  15 [size=\"133307733\", alpha=\"0.03\", expect_size=\"39992320\"] \n  15 -> 16 [size =\"39992320\"]\n  16 [size=\"86009173\", alpha=\"0.19\", expect_size=\"25802752\"] \n  16 -> 17 [size =\"25802752\"]\n  17 [size=\"105410560\", alpha=\"0.02\", expect_size=\"31623168\"] \n  17 -> 18 [size =\"31623168\"]\n  18 [size=\"77755733\", alpha=\"0.16\", expect_size=\"23326720\"] \n  18 -> 19 [size =\"23326720\"]\n  19 [size=\"17551360\", alpha=\"0.17\", expect_size=\"5265408\"] \n  19 -> 20 [size =\"5265408\"]\n  20 [size=\"37280427\", alpha=\"0.07\", expect_size=\"11184128\"] \n  20 -> 21 [size =\"11184128\"]\n  21 [size=\"164894720\", alpha=\"0.12\", expect_size=\"49468416\"] \n  21 -> 22 [size =\"49468416\"]\n  22 [size=\"50677760\", alpha=\"0.13\", expect_size=\"15203328\"] \n  22 -> 23 [size =\"15203328\"]\n  23 [size=\"169980587\", alpha=\"0.02\", expect_size=\"50994176\"] \n  23 -> 24 [size =\"50994176\"]\n  24 [size=\"91207680\", alpha=\"0.02\", expect_size=\"27362304\"] \n  24 -> 25 [size =\"27362304\"]\n  25 [size=\"161194667\", alpha=\"0.01\", expect_size=\"48358400\"] \n  25 -> 26 [size =\"48358400\"]\n  26 [size=\"28545707\", alpha=\"0.15\", expect_size=\"8563712\"] \n  26 -> 27 [size =\"8563712\"]\n  27 [size=\"18333013\", alpha=\"0.01\", expect_size=\"5499904\"] \n  27 -> 28 [size =\"5499904\"]\n  28 [size=\"36962987\", alpha=\"0.02\", expect_size=\"11088896\"] \n  28 -> 29 [size =\"11088896\"]\n  29 [size=\"163713707\", alpha=\"0.08\", expect_size=\"49114112\"] \n  29 -> 30 [size =\"49114112\"]\n  30 [size=\"137902080\", alpha=\"0.08\", expect_size=\"41370624\"] \n  30 -> 31 [size =\"41370624\"]\n  31 [size=\"35911680\", alpha=\"0.03\", expect_size=\"10773504\"] \n  31 -> 32 [size =\"10773504\"]\n  32 [size=\"130300587\", alpha=\"0.08\", expect_size=\"39090176\"] \n  32 -> 33 [size =\"39090176\"]\n  33 [size=\"75936427\", alpha=\"0.07\", expect_size=\"22780928\"] \n  33 -> 34 [size =\"22780928\"]\n  34 [size=\"88060587\", alpha=\"0.13\", expect_size=\"26418176\"] \n  34 -> 35 [size =\"26418176\"]\n  35 [size=\"106482347\", alpha=\"0.14\", expect_size=\"31944704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104419840\", alpha=\"0.03\", expect_size=\"41767936\"] \n  1 -> 3 [size =\"41767936\"]\n  1 -> 4 [size =\"41767936\"]\n  2 [size=\"82897920\", alpha=\"0.13\", expect_size=\"33159168\"] \n  2 -> 3 [size =\"33159168\"]\n  2 -> 4 [size =\"33159168\"]\n  3 [size=\"92835840\", alpha=\"0.15\", expect_size=\"37134336\"] \n  3 -> 5 [size =\"37134336\"]\n  4 [size=\"51486720\", alpha=\"0.00\", expect_size=\"20594688\"] \n  4 -> 5 [size =\"20594688\"]\n  5 [size=\"17507840\", alpha=\"0.14\", expect_size=\"7003136\"] \n  5 -> 6 [size =\"7003136\"]\n  5 -> 7 [size =\"7003136\"]\n  6 [size=\"78804480\", alpha=\"0.17\", expect_size=\"31521792\"] \n  6 -> 8 [size =\"31521792\"]\n  6 -> 9 [size =\"31521792\"]\n  7 [size=\"14681600\", alpha=\"0.09\", expect_size=\"5872640\"] \n  7 -> 9 [size =\"5872640\"]\n  8 [size=\"68392960\", alpha=\"0.12\", expect_size=\"27357184\"] \n  8 -> 11 [size =\"27357184\"]\n  9 [size=\"123640320\", alpha=\"0.08\", expect_size=\"49456128\"] \n  9 -> 10 [size =\"49456128\"]\n  9 -> 11 [size =\"49456128\"]\n  10 [size=\"35742720\", alpha=\"0.02\", expect_size=\"14297088\"] \n  10 -> 12 [size =\"14297088\"]\n  10 -> 13 [size =\"14297088\"]\n  11 [size=\"97530880\", alpha=\"0.05\", expect_size=\"39012352\"] \n  11 -> 12 [size =\"39012352\"]\n  12 [size=\"115215360\", alpha=\"0.13\", expect_size=\"46086144\"] \n  12 -> 14 [size =\"46086144\"]\n  12 -> 15 [size =\"46086144\"]\n  13 [size=\"76554240\", alpha=\"0.12\", expect_size=\"30621696\"] \n  14 [size=\"44293120\", alpha=\"0.11\", expect_size=\"17717248\"] \n  14 -> 16 [size =\"17717248\"]\n  15 [size=\"45132800\", alpha=\"0.02\", expect_size=\"18053120\"] \n  16 [size=\"130370560\", alpha=\"0.06\", expect_size=\"52148224\"] \n  16 -> 17 [size =\"52148224\"]\n  17 [size=\"112960000\", alpha=\"0.11\", expect_size=\"45184000\"] \n  17 -> 18 [size =\"45184000\"]\n  18 [size=\"45527040\", alpha=\"0.13\", expect_size=\"18210816\"] \n  18 -> 19 [size =\"18210816\"]\n  18 -> 20 [size =\"18210816\"]\n  19 [size=\"117721600\", alpha=\"0.19\", expect_size=\"47088640\"] \n  20 [size=\"47055360\", alpha=\"0.17\", expect_size=\"18822144\"] \n  20 -> 21 [size =\"18822144\"]\n  21 [size=\"59532800\", alpha=\"0.11\", expect_size=\"23813120\"] \n  21 -> 22 [size =\"23813120\"]\n  21 -> 23 [size =\"23813120\"]\n  22 [size=\"88432640\", alpha=\"0.16\", expect_size=\"35373056\"] \n  23 [size=\"48194560\", alpha=\"0.15\", expect_size=\"19277824\"] \n  23 -> 24 [size =\"19277824\"]\n  24 [size=\"121034240\", alpha=\"0.01\", expect_size=\"48413696\"] \n  24 -> 25 [size =\"48413696\"]\n  25 [size=\"67095040\", alpha=\"0.07\", expect_size=\"26838016\"] \n  25 -> 26 [size =\"26838016\"]\n  26 [size=\"76551680\", alpha=\"0.04\", expect_size=\"30620672\"] \n  26 -> 27 [size =\"30620672\"]\n  26 -> 28 [size =\"30620672\"]\n  27 [size=\"109194240\", alpha=\"0.02\", expect_size=\"43677696\"] \n  28 [size=\"56153600\", alpha=\"0.09\", expect_size=\"22461440\"] \n  28 -> 29 [size =\"22461440\"]\n  29 [size=\"17313280\", alpha=\"0.15\", expect_size=\"6925312\"] \n  29 -> 30 [size =\"6925312\"]\n  29 -> 31 [size =\"6925312\"]\n  30 [size=\"128081920\", alpha=\"0.04\", expect_size=\"51232768\"] \n  30 -> 32 [size =\"51232768\"]\n  30 -> 33 [size =\"51232768\"]\n  31 [size=\"110049280\", alpha=\"0.08\", expect_size=\"44019712\"] \n  31 -> 33 [size =\"44019712\"]\n  32 [size=\"54528000\", alpha=\"0.09\", expect_size=\"21811200\"] \n  32 -> 34 [size =\"21811200\"]\n  32 -> 35 [size =\"21811200\"]\n  33 [size=\"31313920\", alpha=\"0.01\", expect_size=\"12525568\"] \n  33 -> 35 [size =\"12525568\"]\n  34 [size=\"120135680\", alpha=\"0.19\", expect_size=\"48054272\"] \n  35 [size=\"123443200\", alpha=\"0.01\", expect_size=\"49377280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46577664\", alpha=\"0.10\", expect_size=\"23288832\"] \n  1 -> 26 [size =\"23288832\"]\n  1 -> 33 [size =\"23288832\"]\n  1 -> 34 [size =\"23288832\"]\n  1 -> 35 [size =\"23288832\"]\n  2 [size=\"72099840\", alpha=\"0.05\", expect_size=\"36049920\"] \n  2 -> 23 [size =\"36049920\"]\n  2 -> 32 [size =\"36049920\"]\n  2 -> 33 [size =\"36049920\"]\n  2 -> 35 [size =\"36049920\"]\n  3 [size=\"32739328\", alpha=\"0.12\", expect_size=\"16369664\"] \n  3 -> 26 [size =\"16369664\"]\n  3 -> 32 [size =\"16369664\"]\n  4 [size=\"47638528\", alpha=\"0.09\", expect_size=\"23819264\"] \n  4 -> 22 [size =\"23819264\"]\n  4 -> 23 [size =\"23819264\"]\n  4 -> 26 [size =\"23819264\"]\n  4 -> 31 [size =\"23819264\"]\n  5 [size=\"72734720\", alpha=\"0.10\", expect_size=\"36367360\"] \n  5 -> 23 [size =\"36367360\"]\n  5 -> 27 [size =\"36367360\"]\n  5 -> 29 [size =\"36367360\"]\n  5 -> 33 [size =\"36367360\"]\n  5 -> 34 [size =\"36367360\"]\n  5 -> 35 [size =\"36367360\"]\n  6 [size=\"39624704\", alpha=\"0.09\", expect_size=\"19812352\"] \n  6 -> 22 [size =\"19812352\"]\n  6 -> 23 [size =\"19812352\"]\n  6 -> 28 [size =\"19812352\"]\n  7 [size=\"89673728\", alpha=\"0.03\", expect_size=\"44836864\"] \n  7 -> 22 [size =\"44836864\"]\n  7 -> 26 [size =\"44836864\"]\n  7 -> 31 [size =\"44836864\"]\n  7 -> 33 [size =\"44836864\"]\n  7 -> 35 [size =\"44836864\"]\n  8 [size=\"45303808\", alpha=\"0.01\", expect_size=\"22651904\"] \n  8 -> 22 [size =\"22651904\"]\n  8 -> 26 [size =\"22651904\"]\n  8 -> 29 [size =\"22651904\"]\n  8 -> 31 [size =\"22651904\"]\n  9 [size=\"87721984\", alpha=\"0.07\", expect_size=\"43860992\"] \n  9 -> 22 [size =\"43860992\"]\n  9 -> 26 [size =\"43860992\"]\n  9 -> 29 [size =\"43860992\"]\n  9 -> 35 [size =\"43860992\"]\n  10 [size=\"64118784\", alpha=\"0.14\", expect_size=\"32059392\"] \n  10 -> 24 [size =\"32059392\"]\n  10 -> 26 [size =\"32059392\"]\n  10 -> 28 [size =\"32059392\"]\n  10 -> 29 [size =\"32059392\"]\n  10 -> 30 [size =\"32059392\"]\n  10 -> 32 [size =\"32059392\"]\n  10 -> 35 [size =\"32059392\"]\n  11 [size=\"44236800\", alpha=\"0.11\", expect_size=\"22118400\"] \n  11 -> 23 [size =\"22118400\"]\n  11 -> 27 [size =\"22118400\"]\n  11 -> 29 [size =\"22118400\"]\n  11 -> 32 [size =\"22118400\"]\n  11 -> 34 [size =\"22118400\"]\n  12 [size=\"89155584\", alpha=\"0.06\", expect_size=\"44577792\"] \n  12 -> 23 [size =\"44577792\"]\n  12 -> 25 [size =\"44577792\"]\n  12 -> 28 [size =\"44577792\"]\n  12 -> 32 [size =\"44577792\"]\n  12 -> 33 [size =\"44577792\"]\n  13 [size=\"17833984\", alpha=\"0.08\", expect_size=\"8916992\"] \n  13 -> 22 [size =\"8916992\"]\n  13 -> 26 [size =\"8916992\"]\n  13 -> 27 [size =\"8916992\"]\n  13 -> 29 [size =\"8916992\"]\n  13 -> 32 [size =\"8916992\"]\n  14 [size=\"73525248\", alpha=\"0.13\", expect_size=\"36762624\"] \n  14 -> 23 [size =\"36762624\"]\n  14 -> 32 [size =\"36762624\"]\n  14 -> 34 [size =\"36762624\"]\n  14 -> 35 [size =\"36762624\"]\n  15 [size=\"20994048\", alpha=\"0.11\", expect_size=\"10497024\"] \n  15 -> 26 [size =\"10497024\"]\n  15 -> 27 [size =\"10497024\"]\n  15 -> 31 [size =\"10497024\"]\n  15 -> 33 [size =\"10497024\"]\n  15 -> 35 [size =\"10497024\"]\n  16 [size=\"68444160\", alpha=\"0.14\", expect_size=\"34222080\"] \n  16 -> 22 [size =\"34222080\"]\n  16 -> 26 [size =\"34222080\"]\n  16 -> 28 [size =\"34222080\"]\n  16 -> 33 [size =\"34222080\"]\n  16 -> 35 [size =\"34222080\"]\n  17 [size=\"16908288\", alpha=\"0.06\", expect_size=\"8454144\"] \n  17 -> 22 [size =\"8454144\"]\n  17 -> 29 [size =\"8454144\"]\n  17 -> 35 [size =\"8454144\"]\n  18 [size=\"32788480\", alpha=\"0.08\", expect_size=\"16394240\"] \n  18 -> 28 [size =\"16394240\"]\n  18 -> 29 [size =\"16394240\"]\n  18 -> 30 [size =\"16394240\"]\n  18 -> 35 [size =\"16394240\"]\n  19 [size=\"36253696\", alpha=\"0.09\", expect_size=\"18126848\"] \n  19 -> 23 [size =\"18126848\"]\n  19 -> 27 [size =\"18126848\"]\n  19 -> 28 [size =\"18126848\"]\n  19 -> 29 [size =\"18126848\"]\n  19 -> 30 [size =\"18126848\"]\n  19 -> 33 [size =\"18126848\"]\n  19 -> 35 [size =\"18126848\"]\n  20 [size=\"68804608\", alpha=\"0.08\", expect_size=\"34402304\"] \n  20 -> 21 [size =\"34402304\"]\n  20 -> 22 [size =\"34402304\"]\n  20 -> 23 [size =\"34402304\"]\n  20 -> 28 [size =\"34402304\"]\n  20 -> 29 [size =\"34402304\"]\n  20 -> 34 [size =\"34402304\"]\n  21 [size=\"41265152\", alpha=\"0.14\", expect_size=\"20632576\"] \n  22 [size=\"93812736\", alpha=\"0.14\", expect_size=\"46906368\"] \n  23 [size=\"27207680\", alpha=\"0.18\", expect_size=\"13603840\"] \n  24 [size=\"66371584\", alpha=\"0.10\", expect_size=\"33185792\"] \n  25 [size=\"34942976\", alpha=\"0.16\", expect_size=\"17471488\"] \n  26 [size=\"86607872\", alpha=\"0.07\", expect_size=\"43303936\"] \n  27 [size=\"56446976\", alpha=\"0.15\", expect_size=\"28223488\"] \n  28 [size=\"85016576\", alpha=\"0.11\", expect_size=\"42508288\"] \n  29 [size=\"28393472\", alpha=\"0.03\", expect_size=\"14196736\"] \n  30 [size=\"70774784\", alpha=\"0.06\", expect_size=\"35387392\"] \n  31 [size=\"13271040\", alpha=\"0.17\", expect_size=\"6635520\"] \n  32 [size=\"80715776\", alpha=\"0.04\", expect_size=\"40357888\"] \n  33 [size=\"51607552\", alpha=\"0.13\", expect_size=\"25803776\"] \n  34 [size=\"42577920\", alpha=\"0.15\", expect_size=\"21288960\"] \n  35 [size=\"90777600\", alpha=\"0.19\", expect_size=\"45388800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106577920\", alpha=\"0.16\", expect_size=\"42631168\"] \n  1 -> 33 [size =\"42631168\"]\n  1 -> 34 [size =\"42631168\"]\n  2 [size=\"109570560\", alpha=\"0.13\", expect_size=\"43828224\"] \n  2 -> 31 [size =\"43828224\"]\n  3 [size=\"90391040\", alpha=\"0.12\", expect_size=\"36156416\"] \n  4 [size=\"58268160\", alpha=\"0.12\", expect_size=\"23307264\"] \n  4 -> 34 [size =\"23307264\"]\n  5 [size=\"29463040\", alpha=\"0.11\", expect_size=\"11785216\"] \n  5 -> 32 [size =\"11785216\"]\n  6 [size=\"25697280\", alpha=\"0.09\", expect_size=\"10278912\"] \n  6 -> 34 [size =\"10278912\"]\n  6 -> 35 [size =\"10278912\"]\n  7 [size=\"20482560\", alpha=\"0.06\", expect_size=\"8193024\"] \n  7 -> 31 [size =\"8193024\"]\n  7 -> 35 [size =\"8193024\"]\n  8 [size=\"129902080\", alpha=\"0.10\", expect_size=\"51960832\"] \n  8 -> 35 [size =\"51960832\"]\n  9 [size=\"126031360\", alpha=\"0.13\", expect_size=\"50412544\"] \n  9 -> 31 [size =\"50412544\"]\n  9 -> 34 [size =\"50412544\"]\n  10 [size=\"74636800\", alpha=\"0.12\", expect_size=\"29854720\"] \n  10 -> 34 [size =\"29854720\"]\n  11 [size=\"78320640\", alpha=\"0.08\", expect_size=\"31328256\"] \n  11 -> 32 [size =\"31328256\"]\n  12 [size=\"52531200\", alpha=\"0.04\", expect_size=\"21012480\"] \n  12 -> 32 [size =\"21012480\"]\n  13 [size=\"127244800\", alpha=\"0.02\", expect_size=\"50897920\"] \n  13 -> 35 [size =\"50897920\"]\n  14 [size=\"82831360\", alpha=\"0.01\", expect_size=\"33132544\"] \n  14 -> 34 [size =\"33132544\"]\n  14 -> 35 [size =\"33132544\"]\n  15 [size=\"36200960\", alpha=\"0.06\", expect_size=\"14480384\"] \n  15 -> 32 [size =\"14480384\"]\n  16 [size=\"101665280\", alpha=\"0.01\", expect_size=\"40666112\"] \n  16 -> 33 [size =\"40666112\"]\n  16 -> 35 [size =\"40666112\"]\n  17 [size=\"36584960\", alpha=\"0.02\", expect_size=\"14633984\"] \n  17 -> 31 [size =\"14633984\"]\n  17 -> 33 [size =\"14633984\"]\n  18 [size=\"70492160\", alpha=\"0.18\", expect_size=\"28196864\"] \n  18 -> 31 [size =\"28196864\"]\n  19 [size=\"128002560\", alpha=\"0.01\", expect_size=\"51201024\"] \n  19 -> 31 [size =\"51201024\"]\n  19 -> 34 [size =\"51201024\"]\n  20 [size=\"85288960\", alpha=\"0.17\", expect_size=\"34115584\"] \n  20 -> 31 [size =\"34115584\"]\n  20 -> 34 [size =\"34115584\"]\n  21 [size=\"35640320\", alpha=\"0.08\", expect_size=\"14256128\"] \n  21 -> 33 [size =\"14256128\"]\n  21 -> 35 [size =\"14256128\"]\n  22 [size=\"81807360\", alpha=\"0.17\", expect_size=\"32722944\"] \n  22 -> 31 [size =\"32722944\"]\n  22 -> 33 [size =\"32722944\"]\n  22 -> 34 [size =\"32722944\"]\n  23 [size=\"107251200\", alpha=\"0.18\", expect_size=\"42900480\"] \n  23 -> 31 [size =\"42900480\"]\n  23 -> 33 [size =\"42900480\"]\n  24 [size=\"118446080\", alpha=\"0.07\", expect_size=\"47378432\"] \n  24 -> 31 [size =\"47378432\"]\n  24 -> 34 [size =\"47378432\"]\n  25 [size=\"125045760\", alpha=\"0.19\", expect_size=\"50018304\"] \n  26 [size=\"44984320\", alpha=\"0.13\", expect_size=\"17993728\"] \n  26 -> 31 [size =\"17993728\"]\n  26 -> 32 [size =\"17993728\"]\n  26 -> 35 [size =\"17993728\"]\n  27 [size=\"49809920\", alpha=\"0.08\", expect_size=\"19923968\"] \n  28 [size=\"59735040\", alpha=\"0.03\", expect_size=\"23894016\"] \n  28 -> 35 [size =\"23894016\"]\n  29 [size=\"45547520\", alpha=\"0.17\", expect_size=\"18219008\"] \n  30 [size=\"48665600\", alpha=\"0.02\", expect_size=\"19466240\"] \n  31 [size=\"28482560\", alpha=\"0.17\", expect_size=\"11393024\"] \n  32 [size=\"78469120\", alpha=\"0.20\", expect_size=\"31387648\"] \n  33 [size=\"59161600\", alpha=\"0.01\", expect_size=\"23664640\"] \n  34 [size=\"47843840\", alpha=\"0.15\", expect_size=\"19137536\"] \n  35 [size=\"89679360\", alpha=\"0.12\", expect_size=\"35871744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81881600\", alpha=\"0.08\", expect_size=\"32752640\"] \n  1 -> 13 [size =\"32752640\"]\n  1 -> 18 [size =\"32752640\"]\n  1 -> 19 [size =\"32752640\"]\n  2 [size=\"15198720\", alpha=\"0.03\", expect_size=\"6079488\"] \n  2 -> 14 [size =\"6079488\"]\n  2 -> 15 [size =\"6079488\"]\n  2 -> 18 [size =\"6079488\"]\n  2 -> 19 [size =\"6079488\"]\n  2 -> 21 [size =\"6079488\"]\n  3 [size=\"89891840\", alpha=\"0.13\", expect_size=\"35956736\"] \n  3 -> 13 [size =\"35956736\"]\n  3 -> 14 [size =\"35956736\"]\n  3 -> 17 [size =\"35956736\"]\n  3 -> 18 [size =\"35956736\"]\n  3 -> 20 [size =\"35956736\"]\n  4 [size=\"102607360\", alpha=\"0.13\", expect_size=\"41042944\"] \n  4 -> 13 [size =\"41042944\"]\n  4 -> 16 [size =\"41042944\"]\n  4 -> 17 [size =\"41042944\"]\n  4 -> 18 [size =\"41042944\"]\n  5 [size=\"83655680\", alpha=\"0.06\", expect_size=\"33462272\"] \n  5 -> 13 [size =\"33462272\"]\n  5 -> 15 [size =\"33462272\"]\n  5 -> 16 [size =\"33462272\"]\n  5 -> 17 [size =\"33462272\"]\n  5 -> 19 [size =\"33462272\"]\n  6 [size=\"64028160\", alpha=\"0.09\", expect_size=\"25611264\"] \n  6 -> 13 [size =\"25611264\"]\n  6 -> 15 [size =\"25611264\"]\n  6 -> 17 [size =\"25611264\"]\n  6 -> 17 [size =\"25611264\"]\n  6 -> 18 [size =\"25611264\"]\n  6 -> 20 [size =\"25611264\"]\n  7 [size=\"118469120\", alpha=\"0.10\", expect_size=\"47387648\"] \n  7 -> 15 [size =\"47387648\"]\n  7 -> 17 [size =\"47387648\"]\n  7 -> 19 [size =\"47387648\"]\n  7 -> 20 [size =\"47387648\"]\n  8 [size=\"62896640\", alpha=\"0.05\", expect_size=\"25158656\"] \n  8 -> 13 [size =\"25158656\"]\n  8 -> 16 [size =\"25158656\"]\n  8 -> 17 [size =\"25158656\"]\n  8 -> 19 [size =\"25158656\"]\n  9 [size=\"120619520\", alpha=\"0.03\", expect_size=\"48247808\"] \n  9 -> 14 [size =\"48247808\"]\n  9 -> 19 [size =\"48247808\"]\n  9 -> 20 [size =\"48247808\"]\n  10 [size=\"63452160\", alpha=\"0.07\", expect_size=\"25380864\"] \n  10 -> 14 [size =\"25380864\"]\n  10 -> 15 [size =\"25380864\"]\n  10 -> 16 [size =\"25380864\"]\n  10 -> 18 [size =\"25380864\"]\n  10 -> 20 [size =\"25380864\"]\n  10 -> 21 [size =\"25380864\"]\n  11 [size=\"36500480\", alpha=\"0.17\", expect_size=\"14600192\"] \n  11 -> 14 [size =\"14600192\"]\n  11 -> 16 [size =\"14600192\"]\n  11 -> 16 [size =\"14600192\"]\n  11 -> 21 [size =\"14600192\"]\n  12 [size=\"84421120\", alpha=\"0.18\", expect_size=\"33768448\"] \n  12 -> 18 [size =\"33768448\"]\n  12 -> 19 [size =\"33768448\"]\n  13 [size=\"99988480\", alpha=\"0.15\", expect_size=\"39995392\"] \n  13 -> 24 [size =\"39995392\"]\n  13 -> 25 [size =\"39995392\"]\n  13 -> 26 [size =\"39995392\"]\n  13 -> 28 [size =\"39995392\"]\n  14 [size=\"60313600\", alpha=\"0.18\", expect_size=\"24125440\"] \n  14 -> 24 [size =\"24125440\"]\n  14 -> 26 [size =\"24125440\"]\n  15 [size=\"18193920\", alpha=\"0.06\", expect_size=\"7277568\"] \n  15 -> 25 [size =\"7277568\"]\n  15 -> 29 [size =\"7277568\"]\n  16 [size=\"53358080\", alpha=\"0.11\", expect_size=\"21343232\"] \n  16 -> 22 [size =\"21343232\"]\n  16 -> 26 [size =\"21343232\"]\n  16 -> 27 [size =\"21343232\"]\n  17 [size=\"107018240\", alpha=\"0.03\", expect_size=\"42807296\"] \n  17 -> 24 [size =\"42807296\"]\n  17 -> 25 [size =\"42807296\"]\n  17 -> 26 [size =\"42807296\"]\n  18 [size=\"46103040\", alpha=\"0.15\", expect_size=\"18441216\"] \n  18 -> 23 [size =\"18441216\"]\n  18 -> 25 [size =\"18441216\"]\n  18 -> 26 [size =\"18441216\"]\n  18 -> 28 [size =\"18441216\"]\n  19 [size=\"73553920\", alpha=\"0.15\", expect_size=\"29421568\"] \n  19 -> 25 [size =\"29421568\"]\n  19 -> 27 [size =\"29421568\"]\n  20 [size=\"91297280\", alpha=\"0.19\", expect_size=\"36518912\"] \n  21 [size=\"14750720\", alpha=\"0.16\", expect_size=\"5900288\"] \n  21 -> 24 [size =\"5900288\"]\n  21 -> 27 [size =\"5900288\"]\n  21 -> 28 [size =\"5900288\"]\n  22 [size=\"112872960\", alpha=\"0.12\", expect_size=\"45149184\"] \n  22 -> 30 [size =\"45149184\"]\n  22 -> 32 [size =\"45149184\"]\n  22 -> 34 [size =\"45149184\"]\n  23 [size=\"101552640\", alpha=\"0.02\", expect_size=\"40621056\"] \n  24 [size=\"74810880\", alpha=\"0.07\", expect_size=\"29924352\"] \n  24 -> 32 [size =\"29924352\"]\n  25 [size=\"61562880\", alpha=\"0.04\", expect_size=\"24625152\"] \n  25 -> 35 [size =\"24625152\"]\n  26 [size=\"95567360\", alpha=\"0.09\", expect_size=\"38226944\"] \n  26 -> 31 [size =\"38226944\"]\n  26 -> 32 [size =\"38226944\"]\n  26 -> 33 [size =\"38226944\"]\n  27 [size=\"44720640\", alpha=\"0.13\", expect_size=\"17888256\"] \n  27 -> 30 [size =\"17888256\"]\n  27 -> 33 [size =\"17888256\"]\n  28 [size=\"65198080\", alpha=\"0.04\", expect_size=\"26079232\"] \n  28 -> 30 [size =\"26079232\"]\n  28 -> 31 [size =\"26079232\"]\n  29 [size=\"37040640\", alpha=\"0.14\", expect_size=\"14816256\"] \n  29 -> 30 [size =\"14816256\"]\n  29 -> 32 [size =\"14816256\"]\n  29 -> 34 [size =\"14816256\"]\n  30 [size=\"122611200\", alpha=\"0.13\", expect_size=\"49044480\"] \n  31 [size=\"117857280\", alpha=\"0.15\", expect_size=\"47142912\"] \n  32 [size=\"91550720\", alpha=\"0.10\", expect_size=\"36620288\"] \n  33 [size=\"45783040\", alpha=\"0.19\", expect_size=\"18313216\"] \n  34 [size=\"57338880\", alpha=\"0.17\", expect_size=\"22935552\"] \n  35 [size=\"97758720\", alpha=\"0.15\", expect_size=\"39103488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148893013\", alpha=\"0.01\", expect_size=\"44667904\"] \n  1 -> 2 [size =\"44667904\"]\n  2 [size=\"134789120\", alpha=\"0.19\", expect_size=\"40436736\"] \n  2 -> 3 [size =\"40436736\"]\n  3 [size=\"164423680\", alpha=\"0.06\", expect_size=\"49327104\"] \n  3 -> 4 [size =\"49327104\"]\n  4 [size=\"73987413\", alpha=\"0.07\", expect_size=\"22196224\"] \n  4 -> 5 [size =\"22196224\"]\n  5 [size=\"98542933\", alpha=\"0.05\", expect_size=\"29562880\"] \n  5 -> 6 [size =\"29562880\"]\n  6 [size=\"88026453\", alpha=\"0.03\", expect_size=\"26407936\"] \n  6 -> 7 [size =\"26407936\"]\n  7 [size=\"169936213\", alpha=\"0.16\", expect_size=\"50980864\"] \n  7 -> 8 [size =\"50980864\"]\n  8 [size=\"151524693\", alpha=\"0.13\", expect_size=\"45457408\"] \n  8 -> 9 [size =\"45457408\"]\n  9 [size=\"106912427\", alpha=\"0.14\", expect_size=\"32073728\"] \n  9 -> 10 [size =\"32073728\"]\n  10 [size=\"77346133\", alpha=\"0.06\", expect_size=\"23203840\"] \n  10 -> 11 [size =\"23203840\"]\n  11 [size=\"163840000\", alpha=\"0.02\", expect_size=\"49152000\"] \n  11 -> 12 [size =\"49152000\"]\n  12 [size=\"171117227\", alpha=\"0.08\", expect_size=\"51335168\"] \n  12 -> 13 [size =\"51335168\"]\n  13 [size=\"161768107\", alpha=\"0.01\", expect_size=\"48530432\"] \n  13 -> 14 [size =\"48530432\"]\n  14 [size=\"54480213\", alpha=\"0.05\", expect_size=\"16344064\"] \n  14 -> 15 [size =\"16344064\"]\n  15 [size=\"109704533\", alpha=\"0.14\", expect_size=\"32911360\"] \n  15 -> 16 [size =\"32911360\"]\n  16 [size=\"147814400\", alpha=\"0.13\", expect_size=\"44344320\"] \n  16 -> 17 [size =\"44344320\"]\n  17 [size=\"167594667\", alpha=\"0.17\", expect_size=\"50278400\"] \n  17 -> 18 [size =\"50278400\"]\n  18 [size=\"138779307\", alpha=\"0.16\", expect_size=\"41633792\"] \n  18 -> 19 [size =\"41633792\"]\n  19 [size=\"84971520\", alpha=\"0.13\", expect_size=\"25491456\"] \n  19 -> 20 [size =\"25491456\"]\n  20 [size=\"34969600\", alpha=\"0.19\", expect_size=\"10490880\"] \n  20 -> 21 [size =\"10490880\"]\n  21 [size=\"85189973\", alpha=\"0.02\", expect_size=\"25556992\"] \n  21 -> 22 [size =\"25556992\"]\n  22 [size=\"101700267\", alpha=\"0.20\", expect_size=\"30510080\"] \n  22 -> 23 [size =\"30510080\"]\n  23 [size=\"162365440\", alpha=\"0.16\", expect_size=\"48709632\"] \n  23 -> 24 [size =\"48709632\"]\n  24 [size=\"166935893\", alpha=\"0.19\", expect_size=\"50080768\"] \n  24 -> 25 [size =\"50080768\"]\n  25 [size=\"52241067\", alpha=\"0.13\", expect_size=\"15672320\"] \n  25 -> 26 [size =\"15672320\"]\n  26 [size=\"165021013\", alpha=\"0.16\", expect_size=\"49506304\"] \n  26 -> 27 [size =\"49506304\"]\n  27 [size=\"113838080\", alpha=\"0.18\", expect_size=\"34151424\"] \n  27 -> 28 [size =\"34151424\"]\n  28 [size=\"92839253\", alpha=\"0.18\", expect_size=\"27851776\"] \n  28 -> 29 [size =\"27851776\"]\n  29 [size=\"60634453\", alpha=\"0.08\", expect_size=\"18190336\"] \n  29 -> 30 [size =\"18190336\"]\n  30 [size=\"163447467\", alpha=\"0.07\", expect_size=\"49034240\"] \n  30 -> 31 [size =\"49034240\"]\n  31 [size=\"156583253\", alpha=\"0.03\", expect_size=\"46974976\"] \n  31 -> 32 [size =\"46974976\"]\n  32 [size=\"171451733\", alpha=\"0.20\", expect_size=\"51435520\"] \n  32 -> 33 [size =\"51435520\"]\n  33 [size=\"168089600\", alpha=\"0.15\", expect_size=\"50426880\"] \n  33 -> 34 [size =\"50426880\"]\n  34 [size=\"136151040\", alpha=\"0.14\", expect_size=\"40845312\"] \n  34 -> 35 [size =\"40845312\"]\n  35 [size=\"132150613\", alpha=\"0.05\", expect_size=\"39645184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36364288\", alpha=\"0.01\", expect_size=\"18182144\"] \n  1 -> 29 [size =\"18182144\"]\n  2 [size=\"16414720\", alpha=\"0.18\", expect_size=\"8207360\"] \n  2 -> 28 [size =\"8207360\"]\n  2 -> 29 [size =\"8207360\"]\n  2 -> 30 [size =\"8207360\"]\n  2 -> 33 [size =\"8207360\"]\n  2 -> 34 [size =\"8207360\"]\n  3 [size=\"97134592\", alpha=\"0.12\", expect_size=\"48567296\"] \n  3 -> 28 [size =\"48567296\"]\n  3 -> 29 [size =\"48567296\"]\n  4 [size=\"99643392\", alpha=\"0.17\", expect_size=\"49821696\"] \n  4 -> 28 [size =\"49821696\"]\n  4 -> 29 [size =\"49821696\"]\n  4 -> 31 [size =\"49821696\"]\n  4 -> 35 [size =\"49821696\"]\n  5 [size=\"63823872\", alpha=\"0.18\", expect_size=\"31911936\"] \n  5 -> 28 [size =\"31911936\"]\n  5 -> 34 [size =\"31911936\"]\n  6 [size=\"99028992\", alpha=\"0.01\", expect_size=\"49514496\"] \n  6 -> 33 [size =\"49514496\"]\n  7 [size=\"37847040\", alpha=\"0.03\", expect_size=\"18923520\"] \n  7 -> 27 [size =\"18923520\"]\n  7 -> 34 [size =\"18923520\"]\n  8 [size=\"100014080\", alpha=\"0.01\", expect_size=\"50007040\"] \n  8 -> 28 [size =\"50007040\"]\n  9 [size=\"14034944\", alpha=\"0.07\", expect_size=\"7017472\"] \n  9 -> 26 [size =\"7017472\"]\n  10 [size=\"44750848\", alpha=\"0.04\", expect_size=\"22375424\"] \n  11 [size=\"78555136\", alpha=\"0.02\", expect_size=\"39277568\"] \n  11 -> 33 [size =\"39277568\"]\n  12 [size=\"83914752\", alpha=\"0.18\", expect_size=\"41957376\"] \n  12 -> 29 [size =\"41957376\"]\n  12 -> 34 [size =\"41957376\"]\n  13 [size=\"75843584\", alpha=\"0.16\", expect_size=\"37921792\"] \n  13 -> 27 [size =\"37921792\"]\n  13 -> 31 [size =\"37921792\"]\n  13 -> 35 [size =\"37921792\"]\n  14 [size=\"37926912\", alpha=\"0.10\", expect_size=\"18963456\"] \n  14 -> 31 [size =\"18963456\"]\n  14 -> 33 [size =\"18963456\"]\n  15 [size=\"26116096\", alpha=\"0.12\", expect_size=\"13058048\"] \n  15 -> 34 [size =\"13058048\"]\n  16 [size=\"16177152\", alpha=\"0.08\", expect_size=\"8088576\"] \n  16 -> 30 [size =\"8088576\"]\n  16 -> 34 [size =\"8088576\"]\n  17 [size=\"21219328\", alpha=\"0.08\", expect_size=\"10609664\"] \n  17 -> 27 [size =\"10609664\"]\n  17 -> 29 [size =\"10609664\"]\n  17 -> 33 [size =\"10609664\"]\n  18 [size=\"33878016\", alpha=\"0.15\", expect_size=\"16939008\"] \n  18 -> 31 [size =\"16939008\"]\n  18 -> 33 [size =\"16939008\"]\n  18 -> 34 [size =\"16939008\"]\n  19 [size=\"37322752\", alpha=\"0.18\", expect_size=\"18661376\"] \n  19 -> 28 [size =\"18661376\"]\n  19 -> 33 [size =\"18661376\"]\n  20 [size=\"71194624\", alpha=\"0.09\", expect_size=\"35597312\"] \n  20 -> 27 [size =\"35597312\"]\n  20 -> 31 [size =\"35597312\"]\n  20 -> 33 [size =\"35597312\"]\n  21 [size=\"88774656\", alpha=\"0.06\", expect_size=\"44387328\"] \n  21 -> 29 [size =\"44387328\"]\n  21 -> 32 [size =\"44387328\"]\n  21 -> 33 [size =\"44387328\"]\n  21 -> 35 [size =\"44387328\"]\n  22 [size=\"98609152\", alpha=\"0.04\", expect_size=\"49304576\"] \n  22 -> 28 [size =\"49304576\"]\n  22 -> 29 [size =\"49304576\"]\n  22 -> 33 [size =\"49304576\"]\n  22 -> 35 [size =\"49304576\"]\n  23 [size=\"89423872\", alpha=\"0.00\", expect_size=\"44711936\"] \n  23 -> 28 [size =\"44711936\"]\n  23 -> 29 [size =\"44711936\"]\n  23 -> 31 [size =\"44711936\"]\n  23 -> 33 [size =\"44711936\"]\n  23 -> 35 [size =\"44711936\"]\n  24 [size=\"70832128\", alpha=\"0.15\", expect_size=\"35416064\"] \n  24 -> 34 [size =\"35416064\"]\n  24 -> 35 [size =\"35416064\"]\n  25 [size=\"25769984\", alpha=\"0.02\", expect_size=\"12884992\"] \n  25 -> 29 [size =\"12884992\"]\n  25 -> 31 [size =\"12884992\"]\n  25 -> 35 [size =\"12884992\"]\n  26 [size=\"82167808\", alpha=\"0.07\", expect_size=\"41083904\"] \n  27 [size=\"24211456\", alpha=\"0.18\", expect_size=\"12105728\"] \n  28 [size=\"63193088\", alpha=\"0.08\", expect_size=\"31596544\"] \n  29 [size=\"38672384\", alpha=\"0.19\", expect_size=\"19336192\"] \n  30 [size=\"28987392\", alpha=\"0.17\", expect_size=\"14493696\"] \n  31 [size=\"72200192\", alpha=\"0.10\", expect_size=\"36100096\"] \n  32 [size=\"99815424\", alpha=\"0.18\", expect_size=\"49907712\"] \n  33 [size=\"23392256\", alpha=\"0.20\", expect_size=\"11696128\"] \n  34 [size=\"23951360\", alpha=\"0.07\", expect_size=\"11975680\"] \n  35 [size=\"96280576\", alpha=\"0.18\", expect_size=\"48140288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25972736\", alpha=\"0.16\", expect_size=\"12986368\"] \n  1 -> 2 [size =\"12986368\"]\n  2 [size=\"73338880\", alpha=\"0.08\", expect_size=\"36669440\"] \n  2 -> 3 [size =\"36669440\"]\n  3 [size=\"93083648\", alpha=\"0.01\", expect_size=\"46541824\"] \n  3 -> 4 [size =\"46541824\"]\n  4 [size=\"48809984\", alpha=\"0.00\", expect_size=\"24404992\"] \n  4 -> 5 [size =\"24404992\"]\n  5 [size=\"98084864\", alpha=\"0.06\", expect_size=\"49042432\"] \n  5 -> 6 [size =\"49042432\"]\n  6 [size=\"75456512\", alpha=\"0.16\", expect_size=\"37728256\"] \n  6 -> 7 [size =\"37728256\"]\n  7 [size=\"21710848\", alpha=\"0.09\", expect_size=\"10855424\"] \n  7 -> 8 [size =\"10855424\"]\n  8 [size=\"101595136\", alpha=\"0.04\", expect_size=\"50797568\"] \n  8 -> 9 [size =\"50797568\"]\n  9 [size=\"92844032\", alpha=\"0.09\", expect_size=\"46422016\"] \n  9 -> 10 [size =\"46422016\"]\n  10 [size=\"66492416\", alpha=\"0.19\", expect_size=\"33246208\"] \n  10 -> 11 [size =\"33246208\"]\n  11 [size=\"75933696\", alpha=\"0.10\", expect_size=\"37966848\"] \n  11 -> 12 [size =\"37966848\"]\n  12 [size=\"58933248\", alpha=\"0.14\", expect_size=\"29466624\"] \n  12 -> 13 [size =\"29466624\"]\n  13 [size=\"95275008\", alpha=\"0.01\", expect_size=\"47637504\"] \n  13 -> 14 [size =\"47637504\"]\n  14 [size=\"101586944\", alpha=\"0.10\", expect_size=\"50793472\"] \n  14 -> 15 [size =\"50793472\"]\n  15 [size=\"103620608\", alpha=\"0.04\", expect_size=\"51810304\"] \n  15 -> 16 [size =\"51810304\"]\n  16 [size=\"37730304\", alpha=\"0.00\", expect_size=\"18865152\"] \n  16 -> 17 [size =\"18865152\"]\n  17 [size=\"18548736\", alpha=\"0.17\", expect_size=\"9274368\"] \n  17 -> 18 [size =\"9274368\"]\n  18 [size=\"61069312\", alpha=\"0.06\", expect_size=\"30534656\"] \n  18 -> 19 [size =\"30534656\"]\n  19 [size=\"78700544\", alpha=\"0.07\", expect_size=\"39350272\"] \n  19 -> 20 [size =\"39350272\"]\n  20 [size=\"26597376\", alpha=\"0.16\", expect_size=\"13298688\"] \n  20 -> 21 [size =\"13298688\"]\n  21 [size=\"19804160\", alpha=\"0.08\", expect_size=\"9902080\"] \n  21 -> 22 [size =\"9902080\"]\n  22 [size=\"66899968\", alpha=\"0.14\", expect_size=\"33449984\"] \n  22 -> 23 [size =\"33449984\"]\n  23 [size=\"36438016\", alpha=\"0.17\", expect_size=\"18219008\"] \n  23 -> 24 [size =\"18219008\"]\n  24 [size=\"40499200\", alpha=\"0.08\", expect_size=\"20249600\"] \n  24 -> 25 [size =\"20249600\"]\n  25 [size=\"86931456\", alpha=\"0.18\", expect_size=\"43465728\"] \n  25 -> 26 [size =\"43465728\"]\n  26 [size=\"103536640\", alpha=\"0.01\", expect_size=\"51768320\"] \n  26 -> 27 [size =\"51768320\"]\n  27 [size=\"10891264\", alpha=\"0.07\", expect_size=\"5445632\"] \n  27 -> 28 [size =\"5445632\"]\n  28 [size=\"90173440\", alpha=\"0.13\", expect_size=\"45086720\"] \n  28 -> 29 [size =\"45086720\"]\n  29 [size=\"26177536\", alpha=\"0.15\", expect_size=\"13088768\"] \n  29 -> 30 [size =\"13088768\"]\n  30 [size=\"60663808\", alpha=\"0.10\", expect_size=\"30331904\"] \n  30 -> 31 [size =\"30331904\"]\n  31 [size=\"42967040\", alpha=\"0.18\", expect_size=\"21483520\"] \n  31 -> 32 [size =\"21483520\"]\n  32 [size=\"82946048\", alpha=\"0.17\", expect_size=\"41473024\"] \n  32 -> 33 [size =\"41473024\"]\n  33 [size=\"54710272\", alpha=\"0.13\", expect_size=\"27355136\"] \n  33 -> 34 [size =\"27355136\"]\n  34 [size=\"40857600\", alpha=\"0.09\", expect_size=\"20428800\"] \n  34 -> 35 [size =\"20428800\"]\n  35 [size=\"79714304\", alpha=\"0.05\", expect_size=\"39857152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50414080\", alpha=\"0.12\", expect_size=\"20165632\"] \n  1 -> 30 [size =\"20165632\"]\n  2 [size=\"15820800\", alpha=\"0.12\", expect_size=\"6328320\"] \n  2 -> 33 [size =\"6328320\"]\n  3 [size=\"37486080\", alpha=\"0.04\", expect_size=\"14994432\"] \n  3 -> 26 [size =\"14994432\"]\n  3 -> 27 [size =\"14994432\"]\n  3 -> 31 [size =\"14994432\"]\n  3 -> 32 [size =\"14994432\"]\n  4 [size=\"71838720\", alpha=\"0.12\", expect_size=\"28735488\"] \n  4 -> 29 [size =\"28735488\"]\n  4 -> 32 [size =\"28735488\"]\n  4 -> 33 [size =\"28735488\"]\n  5 [size=\"19015680\", alpha=\"0.07\", expect_size=\"7606272\"] \n  5 -> 27 [size =\"7606272\"]\n  5 -> 32 [size =\"7606272\"]\n  5 -> 34 [size =\"7606272\"]\n  6 [size=\"100856320\", alpha=\"0.11\", expect_size=\"40342528\"] \n  6 -> 29 [size =\"40342528\"]\n  6 -> 32 [size =\"40342528\"]\n  6 -> 34 [size =\"40342528\"]\n  7 [size=\"46067200\", alpha=\"0.06\", expect_size=\"18426880\"] \n  7 -> 30 [size =\"18426880\"]\n  7 -> 32 [size =\"18426880\"]\n  7 -> 34 [size =\"18426880\"]\n  8 [size=\"94853120\", alpha=\"0.15\", expect_size=\"37941248\"] \n  8 -> 29 [size =\"37941248\"]\n  8 -> 32 [size =\"37941248\"]\n  8 -> 34 [size =\"37941248\"]\n  8 -> 35 [size =\"37941248\"]\n  9 [size=\"77345280\", alpha=\"0.01\", expect_size=\"30938112\"] \n  9 -> 29 [size =\"30938112\"]\n  9 -> 30 [size =\"30938112\"]\n  9 -> 32 [size =\"30938112\"]\n  10 [size=\"89420800\", alpha=\"0.11\", expect_size=\"35768320\"] \n  10 -> 29 [size =\"35768320\"]\n  10 -> 34 [size =\"35768320\"]\n  11 [size=\"108119040\", alpha=\"0.01\", expect_size=\"43247616\"] \n  11 -> 28 [size =\"43247616\"]\n  11 -> 29 [size =\"43247616\"]\n  12 [size=\"62965760\", alpha=\"0.20\", expect_size=\"25186304\"] \n  12 -> 29 [size =\"25186304\"]\n  12 -> 30 [size =\"25186304\"]\n  12 -> 31 [size =\"25186304\"]\n  12 -> 34 [size =\"25186304\"]\n  13 [size=\"13184000\", alpha=\"0.14\", expect_size=\"5273600\"] \n  13 -> 25 [size =\"5273600\"]\n  13 -> 26 [size =\"5273600\"]\n  13 -> 27 [size =\"5273600\"]\n  13 -> 29 [size =\"5273600\"]\n  13 -> 30 [size =\"5273600\"]\n  13 -> 32 [size =\"5273600\"]\n  13 -> 34 [size =\"5273600\"]\n  14 [size=\"38092800\", alpha=\"0.04\", expect_size=\"15237120\"] \n  14 -> 25 [size =\"15237120\"]\n  14 -> 26 [size =\"15237120\"]\n  14 -> 30 [size =\"15237120\"]\n  14 -> 32 [size =\"15237120\"]\n  14 -> 34 [size =\"15237120\"]\n  15 [size=\"110492160\", alpha=\"0.01\", expect_size=\"44196864\"] \n  15 -> 25 [size =\"44196864\"]\n  15 -> 32 [size =\"44196864\"]\n  16 [size=\"35033600\", alpha=\"0.03\", expect_size=\"14013440\"] \n  16 -> 25 [size =\"14013440\"]\n  16 -> 29 [size =\"14013440\"]\n  17 [size=\"100346880\", alpha=\"0.05\", expect_size=\"40138752\"] \n  17 -> 25 [size =\"40138752\"]\n  17 -> 27 [size =\"40138752\"]\n  17 -> 28 [size =\"40138752\"]\n  17 -> 29 [size =\"40138752\"]\n  17 -> 32 [size =\"40138752\"]\n  17 -> 33 [size =\"40138752\"]\n  18 [size=\"17740800\", alpha=\"0.06\", expect_size=\"7096320\"] \n  18 -> 25 [size =\"7096320\"]\n  18 -> 29 [size =\"7096320\"]\n  19 [size=\"107558400\", alpha=\"0.08\", expect_size=\"43023360\"] \n  19 -> 25 [size =\"43023360\"]\n  19 -> 28 [size =\"43023360\"]\n  19 -> 29 [size =\"43023360\"]\n  19 -> 32 [size =\"43023360\"]\n  20 [size=\"112271360\", alpha=\"0.17\", expect_size=\"44908544\"] \n  20 -> 26 [size =\"44908544\"]\n  20 -> 33 [size =\"44908544\"]\n  21 [size=\"60357120\", alpha=\"0.12\", expect_size=\"24142848\"] \n  21 -> 26 [size =\"24142848\"]\n  21 -> 29 [size =\"24142848\"]\n  21 -> 34 [size =\"24142848\"]\n  22 [size=\"68308480\", alpha=\"0.08\", expect_size=\"27323392\"] \n  22 -> 31 [size =\"27323392\"]\n  22 -> 32 [size =\"27323392\"]\n  23 [size=\"67727360\", alpha=\"0.08\", expect_size=\"27090944\"] \n  23 -> 25 [size =\"27090944\"]\n  23 -> 31 [size =\"27090944\"]\n  23 -> 32 [size =\"27090944\"]\n  23 -> 34 [size =\"27090944\"]\n  24 [size=\"33886720\", alpha=\"0.18\", expect_size=\"13554688\"] \n  24 -> 25 [size =\"13554688\"]\n  24 -> 26 [size =\"13554688\"]\n  24 -> 29 [size =\"13554688\"]\n  24 -> 31 [size =\"13554688\"]\n  24 -> 33 [size =\"13554688\"]\n  25 [size=\"54914560\", alpha=\"0.08\", expect_size=\"21965824\"] \n  26 [size=\"58421760\", alpha=\"0.14\", expect_size=\"23368704\"] \n  27 [size=\"78510080\", alpha=\"0.05\", expect_size=\"31404032\"] \n  28 [size=\"107225600\", alpha=\"0.10\", expect_size=\"42890240\"] \n  29 [size=\"27148800\", alpha=\"0.06\", expect_size=\"10859520\"] \n  30 [size=\"75212800\", alpha=\"0.15\", expect_size=\"30085120\"] \n  31 [size=\"57835520\", alpha=\"0.00\", expect_size=\"23134208\"] \n  32 [size=\"130293760\", alpha=\"0.14\", expect_size=\"52117504\"] \n  33 [size=\"59368960\", alpha=\"0.07\", expect_size=\"23747584\"] \n  34 [size=\"105374720\", alpha=\"0.05\", expect_size=\"42149888\"] \n  35 [size=\"91112960\", alpha=\"0.19\", expect_size=\"36445184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59560960\", alpha=\"0.16\", expect_size=\"23824384\"] \n  1 -> 7 [size =\"23824384\"]\n  1 -> 7 [size =\"23824384\"]\n  1 -> 8 [size =\"23824384\"]\n  1 -> 9 [size =\"23824384\"]\n  2 [size=\"45575680\", alpha=\"0.11\", expect_size=\"18230272\"] \n  2 -> 6 [size =\"18230272\"]\n  2 -> 9 [size =\"18230272\"]\n  3 [size=\"46069760\", alpha=\"0.06\", expect_size=\"18427904\"] \n  3 -> 6 [size =\"18427904\"]\n  3 -> 8 [size =\"18427904\"]\n  3 -> 9 [size =\"18427904\"]\n  4 [size=\"76469760\", alpha=\"0.19\", expect_size=\"30587904\"] \n  4 -> 6 [size =\"30587904\"]\n  4 -> 7 [size =\"30587904\"]\n  4 -> 8 [size =\"30587904\"]\n  4 -> 9 [size =\"30587904\"]\n  5 [size=\"94886400\", alpha=\"0.19\", expect_size=\"37954560\"] \n  5 -> 6 [size =\"37954560\"]\n  5 -> 7 [size =\"37954560\"]\n  6 [size=\"19043840\", alpha=\"0.19\", expect_size=\"7617536\"] \n  6 -> 10 [size =\"7617536\"]\n  6 -> 13 [size =\"7617536\"]\n  7 [size=\"71196160\", alpha=\"0.06\", expect_size=\"28478464\"] \n  7 -> 10 [size =\"28478464\"]\n  7 -> 11 [size =\"28478464\"]\n  7 -> 12 [size =\"28478464\"]\n  8 [size=\"95024640\", alpha=\"0.15\", expect_size=\"38009856\"] \n  8 -> 10 [size =\"38009856\"]\n  8 -> 11 [size =\"38009856\"]\n  9 [size=\"27028480\", alpha=\"0.05\", expect_size=\"10811392\"] \n  9 -> 10 [size =\"10811392\"]\n  9 -> 12 [size =\"10811392\"]\n  9 -> 13 [size =\"10811392\"]\n  10 [size=\"82104320\", alpha=\"0.19\", expect_size=\"32841728\"] \n  10 -> 14 [size =\"32841728\"]\n  10 -> 15 [size =\"32841728\"]\n  10 -> 16 [size =\"32841728\"]\n  11 [size=\"60879360\", alpha=\"0.03\", expect_size=\"24351744\"] \n  11 -> 15 [size =\"24351744\"]\n  11 -> 15 [size =\"24351744\"]\n  11 -> 16 [size =\"24351744\"]\n  12 [size=\"40158720\", alpha=\"0.08\", expect_size=\"16063488\"] \n  12 -> 15 [size =\"16063488\"]\n  12 -> 16 [size =\"16063488\"]\n  13 [size=\"103418880\", alpha=\"0.02\", expect_size=\"41367552\"] \n  13 -> 14 [size =\"41367552\"]\n  13 -> 16 [size =\"41367552\"]\n  14 [size=\"17978880\", alpha=\"0.20\", expect_size=\"7191552\"] \n  14 -> 17 [size =\"7191552\"]\n  14 -> 18 [size =\"7191552\"]\n  14 -> 20 [size =\"7191552\"]\n  15 [size=\"127441920\", alpha=\"0.04\", expect_size=\"50976768\"] \n  15 -> 17 [size =\"50976768\"]\n  15 -> 18 [size =\"50976768\"]\n  15 -> 19 [size =\"50976768\"]\n  15 -> 20 [size =\"50976768\"]\n  16 [size=\"120325120\", alpha=\"0.19\", expect_size=\"48130048\"] \n  16 -> 18 [size =\"48130048\"]\n  16 -> 19 [size =\"48130048\"]\n  16 -> 19 [size =\"48130048\"]\n  16 -> 20 [size =\"48130048\"]\n  17 [size=\"116715520\", alpha=\"0.14\", expect_size=\"46686208\"] \n  17 -> 21 [size =\"46686208\"]\n  17 -> 24 [size =\"46686208\"]\n  18 [size=\"31905280\", alpha=\"0.03\", expect_size=\"12762112\"] \n  18 -> 21 [size =\"12762112\"]\n  18 -> 22 [size =\"12762112\"]\n  18 -> 24 [size =\"12762112\"]\n  19 [size=\"122411520\", alpha=\"0.16\", expect_size=\"48964608\"] \n  19 -> 21 [size =\"48964608\"]\n  19 -> 24 [size =\"48964608\"]\n  20 [size=\"34480640\", alpha=\"0.12\", expect_size=\"13792256\"] \n  20 -> 21 [size =\"13792256\"]\n  20 -> 22 [size =\"13792256\"]\n  20 -> 23 [size =\"13792256\"]\n  20 -> 24 [size =\"13792256\"]\n  21 [size=\"25676800\", alpha=\"0.15\", expect_size=\"10270720\"] \n  21 -> 25 [size =\"10270720\"]\n  21 -> 26 [size =\"10270720\"]\n  21 -> 27 [size =\"10270720\"]\n  22 [size=\"44441600\", alpha=\"0.05\", expect_size=\"17776640\"] \n  22 -> 26 [size =\"17776640\"]\n  22 -> 27 [size =\"17776640\"]\n  23 [size=\"89395200\", alpha=\"0.19\", expect_size=\"35758080\"] \n  23 -> 25 [size =\"35758080\"]\n  23 -> 26 [size =\"35758080\"]\n  23 -> 27 [size =\"35758080\"]\n  24 [size=\"102464000\", alpha=\"0.05\", expect_size=\"40985600\"] \n  24 -> 25 [size =\"40985600\"]\n  24 -> 26 [size =\"40985600\"]\n  25 [size=\"102003200\", alpha=\"0.04\", expect_size=\"40801280\"] \n  25 -> 29 [size =\"40801280\"]\n  25 -> 30 [size =\"40801280\"]\n  25 -> 31 [size =\"40801280\"]\n  25 -> 32 [size =\"40801280\"]\n  26 [size=\"126968320\", alpha=\"0.05\", expect_size=\"50787328\"] \n  26 -> 28 [size =\"50787328\"]\n  26 -> 30 [size =\"50787328\"]\n  26 -> 31 [size =\"50787328\"]\n  26 -> 32 [size =\"50787328\"]\n  27 [size=\"120417280\", alpha=\"0.15\", expect_size=\"48166912\"] \n  27 -> 28 [size =\"48166912\"]\n  27 -> 30 [size =\"48166912\"]\n  27 -> 32 [size =\"48166912\"]\n  28 [size=\"83325440\", alpha=\"0.19\", expect_size=\"33330176\"] \n  28 -> 33 [size =\"33330176\"]\n  29 [size=\"103057920\", alpha=\"0.05\", expect_size=\"41223168\"] \n  29 -> 33 [size =\"41223168\"]\n  29 -> 34 [size =\"41223168\"]\n  30 [size=\"79613440\", alpha=\"0.04\", expect_size=\"31845376\"] \n  30 -> 33 [size =\"31845376\"]\n  30 -> 34 [size =\"31845376\"]\n  31 [size=\"31293440\", alpha=\"0.10\", expect_size=\"12517376\"] \n  31 -> 33 [size =\"12517376\"]\n  32 [size=\"122519040\", alpha=\"0.01\", expect_size=\"49007616\"] \n  32 -> 33 [size =\"49007616\"]\n  32 -> 35 [size =\"49007616\"]\n  33 [size=\"31869440\", alpha=\"0.07\", expect_size=\"12747776\"] \n  34 [size=\"28236800\", alpha=\"0.14\", expect_size=\"11294720\"] \n  35 [size=\"57018880\", alpha=\"0.00\", expect_size=\"22807552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97938773\", alpha=\"0.08\", expect_size=\"29381632\"] \n  2 [size=\"78178987\", alpha=\"0.08\", expect_size=\"23453696\"] \n  2 -> 3 [size =\"23453696\"]\n  3 [size=\"163686400\", alpha=\"0.15\", expect_size=\"49105920\"] \n  3 -> 4 [size =\"49105920\"]\n  3 -> 5 [size =\"49105920\"]\n  4 [size=\"89692160\", alpha=\"0.02\", expect_size=\"26907648\"] \n  4 -> 7 [size =\"26907648\"]\n  5 [size=\"154081280\", alpha=\"0.17\", expect_size=\"46224384\"] \n  5 -> 6 [size =\"46224384\"]\n  6 [size=\"143407787\", alpha=\"0.12\", expect_size=\"43022336\"] \n  7 [size=\"88279040\", alpha=\"0.19\", expect_size=\"26483712\"] \n  7 -> 8 [size =\"26483712\"]\n  8 [size=\"91610453\", alpha=\"0.10\", expect_size=\"27483136\"] \n  8 -> 9 [size =\"27483136\"]\n  9 [size=\"139803307\", alpha=\"0.15\", expect_size=\"41940992\"] \n  9 -> 10 [size =\"41940992\"]\n  9 -> 11 [size =\"41940992\"]\n  10 [size=\"151650987\", alpha=\"0.17\", expect_size=\"45495296\"] \n  11 [size=\"23490560\", alpha=\"0.01\", expect_size=\"7047168\"] \n  11 -> 12 [size =\"7047168\"]\n  11 -> 13 [size =\"7047168\"]\n  12 [size=\"85292373\", alpha=\"0.20\", expect_size=\"25587712\"] \n  12 -> 14 [size =\"25587712\"]\n  12 -> 15 [size =\"25587712\"]\n  13 [size=\"150340267\", alpha=\"0.17\", expect_size=\"45102080\"] \n  14 [size=\"107386880\", alpha=\"0.11\", expect_size=\"32216064\"] \n  14 -> 16 [size =\"32216064\"]\n  15 [size=\"120517973\", alpha=\"0.02\", expect_size=\"36155392\"] \n  16 [size=\"96242347\", alpha=\"0.15\", expect_size=\"28872704\"] \n  16 -> 17 [size =\"28872704\"]\n  16 -> 18 [size =\"28872704\"]\n  17 [size=\"33303893\", alpha=\"0.09\", expect_size=\"9991168\"] \n  17 -> 19 [size =\"9991168\"]\n  17 -> 20 [size =\"9991168\"]\n  18 [size=\"21855573\", alpha=\"0.17\", expect_size=\"6556672\"] \n  19 [size=\"103994027\", alpha=\"0.03\", expect_size=\"31198208\"] \n  20 [size=\"62098773\", alpha=\"0.16\", expect_size=\"18629632\"] \n  20 -> 21 [size =\"18629632\"]\n  21 [size=\"39697067\", alpha=\"0.19\", expect_size=\"11909120\"] \n  21 -> 22 [size =\"11909120\"]\n  22 [size=\"47912960\", alpha=\"0.09\", expect_size=\"14373888\"] \n  22 -> 23 [size =\"14373888\"]\n  23 [size=\"45093547\", alpha=\"0.18\", expect_size=\"13528064\"] \n  23 -> 24 [size =\"13528064\"]\n  23 -> 25 [size =\"13528064\"]\n  24 [size=\"24599893\", alpha=\"0.17\", expect_size=\"7379968\"] \n  24 -> 26 [size =\"7379968\"]\n  25 [size=\"111158613\", alpha=\"0.12\", expect_size=\"33347584\"] \n  25 -> 27 [size =\"33347584\"]\n  26 [size=\"128262827\", alpha=\"0.04\", expect_size=\"38478848\"] \n  27 [size=\"85961387\", alpha=\"0.05\", expect_size=\"25788416\"] \n  27 -> 28 [size =\"25788416\"]\n  28 [size=\"153914027\", alpha=\"0.15\", expect_size=\"46174208\"] \n  28 -> 29 [size =\"46174208\"]\n  28 -> 30 [size =\"46174208\"]\n  29 [size=\"127604053\", alpha=\"0.00\", expect_size=\"38281216\"] \n  30 [size=\"152500907\", alpha=\"0.03\", expect_size=\"45750272\"] \n  30 -> 31 [size =\"45750272\"]\n  31 [size=\"119036587\", alpha=\"0.07\", expect_size=\"35710976\"] \n  31 -> 32 [size =\"35710976\"]\n  32 [size=\"107670187\", alpha=\"0.19\", expect_size=\"32301056\"] \n  32 -> 33 [size =\"32301056\"]\n  33 [size=\"21824853\", alpha=\"0.08\", expect_size=\"6547456\"] \n  33 -> 34 [size =\"6547456\"]\n  34 [size=\"164997120\", alpha=\"0.08\", expect_size=\"49499136\"] \n  34 -> 35 [size =\"49499136\"]\n  35 [size=\"137543680\", alpha=\"0.02\", expect_size=\"41263104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53196800\", alpha=\"0.12\", expect_size=\"15959040\"] \n  1 -> 10 [size =\"15959040\"]\n  1 -> 14 [size =\"15959040\"]\n  1 -> 16 [size =\"15959040\"]\n  2 [size=\"151978667\", alpha=\"0.05\", expect_size=\"45593600\"] \n  2 -> 12 [size =\"45593600\"]\n  2 -> 14 [size =\"45593600\"]\n  3 [size=\"139622400\", alpha=\"0.08\", expect_size=\"41886720\"] \n  3 -> 11 [size =\"41886720\"]\n  3 -> 15 [size =\"41886720\"]\n  4 [size=\"85903360\", alpha=\"0.13\", expect_size=\"25771008\"] \n  4 -> 11 [size =\"25771008\"]\n  4 -> 14 [size =\"25771008\"]\n  5 [size=\"168970240\", alpha=\"0.06\", expect_size=\"50691072\"] \n  5 -> 11 [size =\"50691072\"]\n  5 -> 15 [size =\"50691072\"]\n  5 -> 16 [size =\"50691072\"]\n  5 -> 17 [size =\"50691072\"]\n  6 [size=\"102580907\", alpha=\"0.08\", expect_size=\"30774272\"] \n  6 -> 12 [size =\"30774272\"]\n  6 -> 15 [size =\"30774272\"]\n  6 -> 16 [size =\"30774272\"]\n  6 -> 18 [size =\"30774272\"]\n  7 [size=\"23265280\", alpha=\"0.20\", expect_size=\"6979584\"] \n  7 -> 11 [size =\"6979584\"]\n  7 -> 13 [size =\"6979584\"]\n  7 -> 14 [size =\"6979584\"]\n  7 -> 15 [size =\"6979584\"]\n  7 -> 16 [size =\"6979584\"]\n  7 -> 18 [size =\"6979584\"]\n  8 [size=\"42963627\", alpha=\"0.06\", expect_size=\"12889088\"] \n  8 -> 16 [size =\"12889088\"]\n  8 -> 18 [size =\"12889088\"]\n  9 [size=\"37218987\", alpha=\"0.14\", expect_size=\"11165696\"] \n  9 -> 11 [size =\"11165696\"]\n  9 -> 14 [size =\"11165696\"]\n  9 -> 15 [size =\"11165696\"]\n  9 -> 18 [size =\"11165696\"]\n  10 [size=\"65020587\", alpha=\"0.06\", expect_size=\"19506176\"] \n  10 -> 19 [size =\"19506176\"]\n  10 -> 22 [size =\"19506176\"]\n  10 -> 28 [size =\"19506176\"]\n  10 -> 29 [size =\"19506176\"]\n  11 [size=\"133587627\", alpha=\"0.03\", expect_size=\"40076288\"] \n  11 -> 20 [size =\"40076288\"]\n  11 -> 22 [size =\"40076288\"]\n  11 -> 23 [size =\"40076288\"]\n  11 -> 24 [size =\"40076288\"]\n  12 [size=\"71171413\", alpha=\"0.14\", expect_size=\"21351424\"] \n  12 -> 23 [size =\"21351424\"]\n  12 -> 24 [size =\"21351424\"]\n  12 -> 27 [size =\"21351424\"]\n  12 -> 30 [size =\"21351424\"]\n  13 [size=\"108489387\", alpha=\"0.04\", expect_size=\"32546816\"] \n  13 -> 22 [size =\"32546816\"]\n  13 -> 23 [size =\"32546816\"]\n  13 -> 24 [size =\"32546816\"]\n  13 -> 29 [size =\"32546816\"]\n  14 [size=\"169246720\", alpha=\"0.14\", expect_size=\"50774016\"] \n  14 -> 22 [size =\"50774016\"]\n  14 -> 27 [size =\"50774016\"]\n  14 -> 29 [size =\"50774016\"]\n  14 -> 30 [size =\"50774016\"]\n  15 [size=\"110271147\", alpha=\"0.11\", expect_size=\"33081344\"] \n  15 -> 24 [size =\"33081344\"]\n  16 [size=\"160406187\", alpha=\"0.16\", expect_size=\"48121856\"] \n  16 -> 21 [size =\"48121856\"]\n  16 -> 23 [size =\"48121856\"]\n  16 -> 28 [size =\"48121856\"]\n  17 [size=\"69324800\", alpha=\"0.04\", expect_size=\"20797440\"] \n  17 -> 20 [size =\"20797440\"]\n  17 -> 21 [size =\"20797440\"]\n  17 -> 23 [size =\"20797440\"]\n  17 -> 25 [size =\"20797440\"]\n  17 -> 26 [size =\"20797440\"]\n  17 -> 29 [size =\"20797440\"]\n  18 [size=\"66464427\", alpha=\"0.11\", expect_size=\"19939328\"] \n  18 -> 20 [size =\"19939328\"]\n  18 -> 22 [size =\"19939328\"]\n  19 [size=\"112117760\", alpha=\"0.12\", expect_size=\"33635328\"] \n  19 -> 31 [size =\"33635328\"]\n  19 -> 32 [size =\"33635328\"]\n  19 -> 33 [size =\"33635328\"]\n  20 [size=\"61412693\", alpha=\"0.16\", expect_size=\"18423808\"] \n  20 -> 34 [size =\"18423808\"]\n  21 [size=\"111045973\", alpha=\"0.04\", expect_size=\"33313792\"] \n  21 -> 33 [size =\"33313792\"]\n  22 [size=\"137823573\", alpha=\"0.10\", expect_size=\"41347072\"] \n  22 -> 31 [size =\"41347072\"]\n  22 -> 32 [size =\"41347072\"]\n  22 -> 33 [size =\"41347072\"]\n  23 [size=\"93412693\", alpha=\"0.11\", expect_size=\"28023808\"] \n  23 -> 32 [size =\"28023808\"]\n  24 [size=\"124238507\", alpha=\"0.01\", expect_size=\"37271552\"] \n  24 -> 33 [size =\"37271552\"]\n  24 -> 35 [size =\"37271552\"]\n  25 [size=\"78042453\", alpha=\"0.10\", expect_size=\"23412736\"] \n  25 -> 32 [size =\"23412736\"]\n  25 -> 34 [size =\"23412736\"]\n  26 [size=\"164263253\", alpha=\"0.10\", expect_size=\"49278976\"] \n  26 -> 32 [size =\"49278976\"]\n  27 [size=\"129078613\", alpha=\"0.10\", expect_size=\"38723584\"] \n  28 [size=\"162604373\", alpha=\"0.14\", expect_size=\"48781312\"] \n  28 -> 35 [size =\"48781312\"]\n  29 [size=\"89719467\", alpha=\"0.00\", expect_size=\"26915840\"] \n  29 -> 31 [size =\"26915840\"]\n  29 -> 33 [size =\"26915840\"]\n  30 [size=\"25340587\", alpha=\"0.13\", expect_size=\"7602176\"] \n  30 -> 32 [size =\"7602176\"]\n  31 [size=\"149019307\", alpha=\"0.20\", expect_size=\"44705792\"] \n  32 [size=\"24623787\", alpha=\"0.14\", expect_size=\"7387136\"] \n  33 [size=\"101229227\", alpha=\"0.20\", expect_size=\"30368768\"] \n  34 [size=\"29125973\", alpha=\"0.04\", expect_size=\"8737792\"] \n  35 [size=\"34024107\", alpha=\"0.01\", expect_size=\"10207232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72355840\", alpha=\"0.16\", expect_size=\"36177920\"] \n  1 -> 7 [size =\"36177920\"]\n  1 -> 9 [size =\"36177920\"]\n  2 [size=\"38692864\", alpha=\"0.11\", expect_size=\"19346432\"] \n  2 -> 6 [size =\"19346432\"]\n  2 -> 10 [size =\"19346432\"]\n  3 [size=\"103888896\", alpha=\"0.16\", expect_size=\"51944448\"] \n  3 -> 6 [size =\"51944448\"]\n  3 -> 7 [size =\"51944448\"]\n  3 -> 9 [size =\"51944448\"]\n  3 -> 10 [size =\"51944448\"]\n  4 [size=\"45023232\", alpha=\"0.07\", expect_size=\"22511616\"] \n  4 -> 6 [size =\"22511616\"]\n  4 -> 8 [size =\"22511616\"]\n  4 -> 10 [size =\"22511616\"]\n  5 [size=\"92368896\", alpha=\"0.19\", expect_size=\"46184448\"] \n  5 -> 7 [size =\"46184448\"]\n  5 -> 8 [size =\"46184448\"]\n  5 -> 9 [size =\"46184448\"]\n  6 [size=\"73994240\", alpha=\"0.02\", expect_size=\"36997120\"] \n  6 -> 12 [size =\"36997120\"]\n  6 -> 15 [size =\"36997120\"]\n  7 [size=\"79919104\", alpha=\"0.06\", expect_size=\"39959552\"] \n  7 -> 13 [size =\"39959552\"]\n  7 -> 14 [size =\"39959552\"]\n  8 [size=\"26822656\", alpha=\"0.04\", expect_size=\"13411328\"] \n  8 -> 13 [size =\"13411328\"]\n  9 [size=\"23619584\", alpha=\"0.05\", expect_size=\"11809792\"] \n  9 -> 13 [size =\"11809792\"]\n  10 [size=\"32407552\", alpha=\"0.12\", expect_size=\"16203776\"] \n  10 -> 11 [size =\"16203776\"]\n  10 -> 15 [size =\"16203776\"]\n  11 [size=\"27000832\", alpha=\"0.20\", expect_size=\"13500416\"] \n  11 -> 17 [size =\"13500416\"]\n  11 -> 19 [size =\"13500416\"]\n  12 [size=\"101787648\", alpha=\"0.03\", expect_size=\"50893824\"] \n  13 [size=\"57892864\", alpha=\"0.04\", expect_size=\"28946432\"] \n  13 -> 17 [size =\"28946432\"]\n  13 -> 19 [size =\"28946432\"]\n  14 [size=\"41080832\", alpha=\"0.18\", expect_size=\"20540416\"] \n  14 -> 16 [size =\"20540416\"]\n  14 -> 19 [size =\"20540416\"]\n  15 [size=\"74983424\", alpha=\"0.19\", expect_size=\"37491712\"] \n  15 -> 17 [size =\"37491712\"]\n  15 -> 18 [size =\"37491712\"]\n  16 [size=\"68919296\", alpha=\"0.17\", expect_size=\"34459648\"] \n  16 -> 22 [size =\"34459648\"]\n  16 -> 23 [size =\"34459648\"]\n  17 [size=\"79536128\", alpha=\"0.01\", expect_size=\"39768064\"] \n  17 -> 20 [size =\"39768064\"]\n  17 -> 21 [size =\"39768064\"]\n  18 [size=\"13539328\", alpha=\"0.19\", expect_size=\"6769664\"] \n  19 [size=\"31660032\", alpha=\"0.12\", expect_size=\"15830016\"] \n  19 -> 20 [size =\"15830016\"]\n  19 -> 22 [size =\"15830016\"]\n  20 [size=\"56721408\", alpha=\"0.00\", expect_size=\"28360704\"] \n  20 -> 24 [size =\"28360704\"]\n  20 -> 28 [size =\"28360704\"]\n  21 [size=\"17805312\", alpha=\"0.02\", expect_size=\"8902656\"] \n  21 -> 25 [size =\"8902656\"]\n  21 -> 26 [size =\"8902656\"]\n  21 -> 28 [size =\"8902656\"]\n  22 [size=\"16910336\", alpha=\"0.10\", expect_size=\"8455168\"] \n  22 -> 24 [size =\"8455168\"]\n  22 -> 25 [size =\"8455168\"]\n  22 -> 27 [size =\"8455168\"]\n  23 [size=\"33423360\", alpha=\"0.17\", expect_size=\"16711680\"] \n  23 -> 26 [size =\"16711680\"]\n  24 [size=\"53620736\", alpha=\"0.12\", expect_size=\"26810368\"] \n  24 -> 30 [size =\"26810368\"]\n  24 -> 32 [size =\"26810368\"]\n  25 [size=\"45420544\", alpha=\"0.04\", expect_size=\"22710272\"] \n  26 [size=\"39315456\", alpha=\"0.10\", expect_size=\"19657728\"] \n  26 -> 29 [size =\"19657728\"]\n  27 [size=\"26847232\", alpha=\"0.10\", expect_size=\"13423616\"] \n  27 -> 30 [size =\"13423616\"]\n  28 [size=\"30552064\", alpha=\"0.14\", expect_size=\"15276032\"] \n  28 -> 29 [size =\"15276032\"]\n  28 -> 31 [size =\"15276032\"]\n  29 [size=\"24639488\", alpha=\"0.01\", expect_size=\"12319744\"] \n  29 -> 33 [size =\"12319744\"]\n  29 -> 34 [size =\"12319744\"]\n  30 [size=\"79050752\", alpha=\"0.12\", expect_size=\"39525376\"] \n  30 -> 33 [size =\"39525376\"]\n  31 [size=\"79966208\", alpha=\"0.07\", expect_size=\"39983104\"] \n  31 -> 33 [size =\"39983104\"]\n  32 [size=\"89255936\", alpha=\"0.01\", expect_size=\"44627968\"] \n  32 -> 34 [size =\"44627968\"]\n  32 -> 35 [size =\"44627968\"]\n  33 [size=\"40755200\", alpha=\"0.05\", expect_size=\"20377600\"] \n  34 [size=\"27865088\", alpha=\"0.16\", expect_size=\"13932544\"] \n  35 [size=\"85129216\", alpha=\"0.00\", expect_size=\"42564608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103792640\", alpha=\"0.07\", expect_size=\"31137792\"] \n  1 -> 2 [size =\"31137792\"]\n  2 [size=\"108950187\", alpha=\"0.09\", expect_size=\"32685056\"] \n  2 -> 3 [size =\"32685056\"]\n  3 [size=\"157986133\", alpha=\"0.08\", expect_size=\"47395840\"] \n  3 -> 4 [size =\"47395840\"]\n  4 [size=\"22589440\", alpha=\"0.08\", expect_size=\"6776832\"] \n  4 -> 5 [size =\"6776832\"]\n  5 [size=\"51899733\", alpha=\"0.09\", expect_size=\"15569920\"] \n  5 -> 6 [size =\"15569920\"]\n  6 [size=\"80971093\", alpha=\"0.12\", expect_size=\"24291328\"] \n  6 -> 7 [size =\"24291328\"]\n  7 [size=\"135089493\", alpha=\"0.20\", expect_size=\"40526848\"] \n  7 -> 8 [size =\"40526848\"]\n  8 [size=\"146848427\", alpha=\"0.01\", expect_size=\"44054528\"] \n  8 -> 9 [size =\"44054528\"]\n  9 [size=\"145343147\", alpha=\"0.14\", expect_size=\"43602944\"] \n  9 -> 10 [size =\"43602944\"]\n  10 [size=\"161020587\", alpha=\"0.03\", expect_size=\"48306176\"] \n  10 -> 11 [size =\"48306176\"]\n  11 [size=\"53230933\", alpha=\"0.17\", expect_size=\"15969280\"] \n  11 -> 12 [size =\"15969280\"]\n  12 [size=\"109888853\", alpha=\"0.07\", expect_size=\"32966656\"] \n  12 -> 13 [size =\"32966656\"]\n  13 [size=\"20852053\", alpha=\"0.09\", expect_size=\"6255616\"] \n  13 -> 14 [size =\"6255616\"]\n  14 [size=\"87309653\", alpha=\"0.10\", expect_size=\"26192896\"] \n  14 -> 15 [size =\"26192896\"]\n  15 [size=\"147445760\", alpha=\"0.19\", expect_size=\"44233728\"] \n  15 -> 16 [size =\"44233728\"]\n  16 [size=\"63976107\", alpha=\"0.19\", expect_size=\"19192832\"] \n  16 -> 17 [size =\"19192832\"]\n  17 [size=\"158552747\", alpha=\"0.06\", expect_size=\"47565824\"] \n  17 -> 18 [size =\"47565824\"]\n  18 [size=\"157617493\", alpha=\"0.17\", expect_size=\"47285248\"] \n  18 -> 19 [size =\"47285248\"]\n  19 [size=\"166577493\", alpha=\"0.13\", expect_size=\"49973248\"] \n  19 -> 20 [size =\"49973248\"]\n  20 [size=\"117312853\", alpha=\"0.01\", expect_size=\"35193856\"] \n  20 -> 21 [size =\"35193856\"]\n  21 [size=\"142793387\", alpha=\"0.01\", expect_size=\"42838016\"] \n  21 -> 22 [size =\"42838016\"]\n  22 [size=\"122559147\", alpha=\"0.11\", expect_size=\"36767744\"] \n  22 -> 23 [size =\"36767744\"]\n  23 [size=\"19626667\", alpha=\"0.00\", expect_size=\"5888000\"] \n  23 -> 24 [size =\"5888000\"]\n  24 [size=\"88879787\", alpha=\"0.09\", expect_size=\"26663936\"] \n  24 -> 25 [size =\"26663936\"]\n  25 [size=\"168369493\", alpha=\"0.03\", expect_size=\"50510848\"] \n  25 -> 26 [size =\"50510848\"]\n  26 [size=\"162382507\", alpha=\"0.05\", expect_size=\"48714752\"] \n  26 -> 27 [size =\"48714752\"]\n  27 [size=\"150954667\", alpha=\"0.02\", expect_size=\"45286400\"] \n  27 -> 28 [size =\"45286400\"]\n  28 [size=\"41475413\", alpha=\"0.15\", expect_size=\"12442624\"] \n  28 -> 29 [size =\"12442624\"]\n  29 [size=\"172233387\", alpha=\"0.04\", expect_size=\"51670016\"] \n  29 -> 30 [size =\"51670016\"]\n  30 [size=\"117906773\", alpha=\"0.12\", expect_size=\"35372032\"] \n  30 -> 31 [size =\"35372032\"]\n  31 [size=\"128235520\", alpha=\"0.04\", expect_size=\"38470656\"] \n  31 -> 32 [size =\"38470656\"]\n  32 [size=\"132256427\", alpha=\"0.08\", expect_size=\"39676928\"] \n  32 -> 33 [size =\"39676928\"]\n  33 [size=\"64157013\", alpha=\"0.13\", expect_size=\"19247104\"] \n  33 -> 34 [size =\"19247104\"]\n  34 [size=\"64447147\", alpha=\"0.06\", expect_size=\"19334144\"] \n  34 -> 35 [size =\"19334144\"]\n  35 [size=\"138246827\", alpha=\"0.16\", expect_size=\"41474048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80645120\", alpha=\"0.03\", expect_size=\"32258048\"] \n  1 -> 2 [size =\"32258048\"]\n  2 [size=\"63354880\", alpha=\"0.10\", expect_size=\"25341952\"] \n  2 -> 3 [size =\"25341952\"]\n  3 [size=\"77281280\", alpha=\"0.17\", expect_size=\"30912512\"] \n  3 -> 4 [size =\"30912512\"]\n  4 [size=\"57090560\", alpha=\"0.02\", expect_size=\"22836224\"] \n  4 -> 5 [size =\"22836224\"]\n  4 -> 6 [size =\"22836224\"]\n  5 [size=\"130496000\", alpha=\"0.07\", expect_size=\"52198400\"] \n  5 -> 7 [size =\"52198400\"]\n  6 [size=\"51417600\", alpha=\"0.13\", expect_size=\"20567040\"] \n  7 [size=\"79854080\", alpha=\"0.00\", expect_size=\"31941632\"] \n  7 -> 8 [size =\"31941632\"]\n  8 [size=\"26426880\", alpha=\"0.20\", expect_size=\"10570752\"] \n  8 -> 9 [size =\"10570752\"]\n  8 -> 10 [size =\"10570752\"]\n  9 [size=\"27025920\", alpha=\"0.04\", expect_size=\"10810368\"] \n  9 -> 12 [size =\"10810368\"]\n  10 [size=\"55928320\", alpha=\"0.11\", expect_size=\"22371328\"] \n  10 -> 11 [size =\"22371328\"]\n  11 [size=\"59128320\", alpha=\"0.00\", expect_size=\"23651328\"] \n  12 [size=\"78871040\", alpha=\"0.17\", expect_size=\"31548416\"] \n  12 -> 13 [size =\"31548416\"]\n  13 [size=\"18831360\", alpha=\"0.03\", expect_size=\"7532544\"] \n  13 -> 14 [size =\"7532544\"]\n  14 [size=\"118343680\", alpha=\"0.13\", expect_size=\"47337472\"] \n  14 -> 15 [size =\"47337472\"]\n  14 -> 16 [size =\"47337472\"]\n  15 [size=\"13109760\", alpha=\"0.00\", expect_size=\"5243904\"] \n  15 -> 17 [size =\"5243904\"]\n  16 [size=\"54080000\", alpha=\"0.06\", expect_size=\"21632000\"] \n  17 [size=\"128911360\", alpha=\"0.01\", expect_size=\"51564544\"] \n  17 -> 18 [size =\"51564544\"]\n  18 [size=\"129945600\", alpha=\"0.15\", expect_size=\"51978240\"] \n  18 -> 19 [size =\"51978240\"]\n  19 [size=\"127247360\", alpha=\"0.02\", expect_size=\"50898944\"] \n  19 -> 20 [size =\"50898944\"]\n  20 [size=\"34301440\", alpha=\"0.01\", expect_size=\"13720576\"] \n  20 -> 21 [size =\"13720576\"]\n  20 -> 22 [size =\"13720576\"]\n  21 [size=\"100152320\", alpha=\"0.13\", expect_size=\"40060928\"] \n  21 -> 24 [size =\"40060928\"]\n  22 [size=\"100861440\", alpha=\"0.12\", expect_size=\"40344576\"] \n  22 -> 23 [size =\"40344576\"]\n  23 [size=\"84536320\", alpha=\"0.03\", expect_size=\"33814528\"] \n  23 -> 25 [size =\"33814528\"]\n  23 -> 26 [size =\"33814528\"]\n  24 [size=\"104327680\", alpha=\"0.01\", expect_size=\"41731072\"] \n  25 [size=\"63022080\", alpha=\"0.19\", expect_size=\"25208832\"] \n  25 -> 27 [size =\"25208832\"]\n  26 [size=\"63966720\", alpha=\"0.04\", expect_size=\"25586688\"] \n  27 [size=\"100672000\", alpha=\"0.19\", expect_size=\"40268800\"] \n  27 -> 28 [size =\"40268800\"]\n  27 -> 29 [size =\"40268800\"]\n  28 [size=\"108782080\", alpha=\"0.18\", expect_size=\"43512832\"] \n  28 -> 30 [size =\"43512832\"]\n  29 [size=\"79006720\", alpha=\"0.18\", expect_size=\"31602688\"] \n  30 [size=\"88637440\", alpha=\"0.06\", expect_size=\"35454976\"] \n  30 -> 31 [size =\"35454976\"]\n  31 [size=\"97016320\", alpha=\"0.01\", expect_size=\"38806528\"] \n  31 -> 32 [size =\"38806528\"]\n  31 -> 33 [size =\"38806528\"]\n  32 [size=\"53716480\", alpha=\"0.08\", expect_size=\"21486592\"] \n  33 [size=\"126955520\", alpha=\"0.15\", expect_size=\"50782208\"] \n  33 -> 34 [size =\"50782208\"]\n  34 [size=\"27013120\", alpha=\"0.01\", expect_size=\"10805248\"] \n  34 -> 35 [size =\"10805248\"]\n  35 [size=\"33799680\", alpha=\"0.06\", expect_size=\"13519872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91619328\", alpha=\"0.03\", expect_size=\"45809664\"] \n  1 -> 23 [size =\"45809664\"]\n  1 -> 27 [size =\"45809664\"]\n  1 -> 30 [size =\"45809664\"]\n  1 -> 31 [size =\"45809664\"]\n  1 -> 33 [size =\"45809664\"]\n  1 -> 34 [size =\"45809664\"]\n  2 [size=\"42532864\", alpha=\"0.00\", expect_size=\"21266432\"] \n  2 -> 25 [size =\"21266432\"]\n  2 -> 26 [size =\"21266432\"]\n  2 -> 27 [size =\"21266432\"]\n  2 -> 29 [size =\"21266432\"]\n  2 -> 30 [size =\"21266432\"]\n  2 -> 33 [size =\"21266432\"]\n  2 -> 34 [size =\"21266432\"]\n  2 -> 35 [size =\"21266432\"]\n  3 [size=\"85399552\", alpha=\"0.17\", expect_size=\"42699776\"] \n  3 -> 28 [size =\"42699776\"]\n  3 -> 30 [size =\"42699776\"]\n  3 -> 31 [size =\"42699776\"]\n  3 -> 33 [size =\"42699776\"]\n  3 -> 34 [size =\"42699776\"]\n  4 [size=\"98420736\", alpha=\"0.08\", expect_size=\"49210368\"] \n  4 -> 23 [size =\"49210368\"]\n  4 -> 25 [size =\"49210368\"]\n  4 -> 30 [size =\"49210368\"]\n  4 -> 31 [size =\"49210368\"]\n  4 -> 33 [size =\"49210368\"]\n  4 -> 34 [size =\"49210368\"]\n  5 [size=\"51099648\", alpha=\"0.12\", expect_size=\"25549824\"] \n  5 -> 25 [size =\"25549824\"]\n  5 -> 27 [size =\"25549824\"]\n  5 -> 30 [size =\"25549824\"]\n  5 -> 31 [size =\"25549824\"]\n  5 -> 32 [size =\"25549824\"]\n  5 -> 33 [size =\"25549824\"]\n  5 -> 34 [size =\"25549824\"]\n  6 [size=\"77959168\", alpha=\"0.20\", expect_size=\"38979584\"] \n  6 -> 25 [size =\"38979584\"]\n  6 -> 27 [size =\"38979584\"]\n  6 -> 30 [size =\"38979584\"]\n  6 -> 31 [size =\"38979584\"]\n  6 -> 33 [size =\"38979584\"]\n  6 -> 33 [size =\"38979584\"]\n  6 -> 34 [size =\"38979584\"]\n  6 -> 35 [size =\"38979584\"]\n  7 [size=\"92872704\", alpha=\"0.07\", expect_size=\"46436352\"] \n  7 -> 27 [size =\"46436352\"]\n  7 -> 30 [size =\"46436352\"]\n  7 -> 31 [size =\"46436352\"]\n  7 -> 31 [size =\"46436352\"]\n  8 [size=\"35893248\", alpha=\"0.19\", expect_size=\"17946624\"] \n  8 -> 23 [size =\"17946624\"]\n  8 -> 31 [size =\"17946624\"]\n  9 [size=\"76740608\", alpha=\"0.19\", expect_size=\"38370304\"] \n  9 -> 25 [size =\"38370304\"]\n  9 -> 30 [size =\"38370304\"]\n  9 -> 35 [size =\"38370304\"]\n  10 [size=\"45158400\", alpha=\"0.07\", expect_size=\"22579200\"] \n  10 -> 23 [size =\"22579200\"]\n  10 -> 25 [size =\"22579200\"]\n  10 -> 33 [size =\"22579200\"]\n  10 -> 35 [size =\"22579200\"]\n  11 [size=\"78848000\", alpha=\"0.13\", expect_size=\"39424000\"] \n  11 -> 23 [size =\"39424000\"]\n  11 -> 25 [size =\"39424000\"]\n  11 -> 31 [size =\"39424000\"]\n  11 -> 33 [size =\"39424000\"]\n  12 [size=\"91179008\", alpha=\"0.10\", expect_size=\"45589504\"] \n  12 -> 23 [size =\"45589504\"]\n  12 -> 24 [size =\"45589504\"]\n  12 -> 25 [size =\"45589504\"]\n  12 -> 29 [size =\"45589504\"]\n  12 -> 30 [size =\"45589504\"]\n  12 -> 31 [size =\"45589504\"]\n  12 -> 33 [size =\"45589504\"]\n  13 [size=\"91858944\", alpha=\"0.10\", expect_size=\"45929472\"] \n  13 -> 25 [size =\"45929472\"]\n  13 -> 30 [size =\"45929472\"]\n  13 -> 31 [size =\"45929472\"]\n  13 -> 33 [size =\"45929472\"]\n  13 -> 35 [size =\"45929472\"]\n  14 [size=\"78471168\", alpha=\"0.00\", expect_size=\"39235584\"] \n  14 -> 25 [size =\"39235584\"]\n  14 -> 26 [size =\"39235584\"]\n  14 -> 28 [size =\"39235584\"]\n  14 -> 30 [size =\"39235584\"]\n  14 -> 31 [size =\"39235584\"]\n  14 -> 33 [size =\"39235584\"]\n  14 -> 35 [size =\"39235584\"]\n  15 [size=\"21542912\", alpha=\"0.05\", expect_size=\"10771456\"] \n  15 -> 23 [size =\"10771456\"]\n  15 -> 25 [size =\"10771456\"]\n  15 -> 27 [size =\"10771456\"]\n  15 -> 30 [size =\"10771456\"]\n  15 -> 31 [size =\"10771456\"]\n  15 -> 33 [size =\"10771456\"]\n  15 -> 35 [size =\"10771456\"]\n  16 [size=\"77486080\", alpha=\"0.16\", expect_size=\"38743040\"] \n  16 -> 24 [size =\"38743040\"]\n  16 -> 25 [size =\"38743040\"]\n  16 -> 26 [size =\"38743040\"]\n  16 -> 27 [size =\"38743040\"]\n  16 -> 29 [size =\"38743040\"]\n  16 -> 30 [size =\"38743040\"]\n  16 -> 33 [size =\"38743040\"]\n  16 -> 35 [size =\"38743040\"]\n  17 [size=\"76744704\", alpha=\"0.10\", expect_size=\"38372352\"] \n  17 -> 24 [size =\"38372352\"]\n  17 -> 27 [size =\"38372352\"]\n  17 -> 33 [size =\"38372352\"]\n  17 -> 35 [size =\"38372352\"]\n  18 [size=\"15962112\", alpha=\"0.00\", expect_size=\"7981056\"] \n  18 -> 23 [size =\"7981056\"]\n  18 -> 24 [size =\"7981056\"]\n  18 -> 25 [size =\"7981056\"]\n  18 -> 26 [size =\"7981056\"]\n  18 -> 27 [size =\"7981056\"]\n  18 -> 31 [size =\"7981056\"]\n  18 -> 33 [size =\"7981056\"]\n  18 -> 35 [size =\"7981056\"]\n  19 [size=\"13006848\", alpha=\"0.01\", expect_size=\"6503424\"] \n  19 -> 24 [size =\"6503424\"]\n  19 -> 25 [size =\"6503424\"]\n  19 -> 25 [size =\"6503424\"]\n  19 -> 27 [size =\"6503424\"]\n  19 -> 28 [size =\"6503424\"]\n  19 -> 31 [size =\"6503424\"]\n  19 -> 33 [size =\"6503424\"]\n  19 -> 35 [size =\"6503424\"]\n  20 [size=\"102668288\", alpha=\"0.06\", expect_size=\"51334144\"] \n  20 -> 23 [size =\"51334144\"]\n  20 -> 25 [size =\"51334144\"]\n  20 -> 33 [size =\"51334144\"]\n  20 -> 35 [size =\"51334144\"]\n  21 [size=\"41394176\", alpha=\"0.07\", expect_size=\"20697088\"] \n  21 -> 25 [size =\"20697088\"]\n  21 -> 27 [size =\"20697088\"]\n  21 -> 30 [size =\"20697088\"]\n  21 -> 33 [size =\"20697088\"]\n  22 [size=\"104228864\", alpha=\"0.15\", expect_size=\"52114432\"] \n  22 -> 25 [size =\"52114432\"]\n  22 -> 29 [size =\"52114432\"]\n  22 -> 30 [size =\"52114432\"]\n  22 -> 31 [size =\"52114432\"]\n  22 -> 33 [size =\"52114432\"]\n  22 -> 34 [size =\"52114432\"]\n  23 [size=\"58558464\", alpha=\"0.19\", expect_size=\"29279232\"] \n  24 [size=\"12587008\", alpha=\"0.02\", expect_size=\"6293504\"] \n  25 [size=\"13338624\", alpha=\"0.14\", expect_size=\"6669312\"] \n  26 [size=\"38467584\", alpha=\"0.19\", expect_size=\"19233792\"] \n  27 [size=\"21506048\", alpha=\"0.02\", expect_size=\"10753024\"] \n  28 [size=\"66334720\", alpha=\"0.11\", expect_size=\"33167360\"] \n  29 [size=\"68059136\", alpha=\"0.14\", expect_size=\"34029568\"] \n  30 [size=\"73918464\", alpha=\"0.04\", expect_size=\"36959232\"] \n  31 [size=\"100022272\", alpha=\"0.08\", expect_size=\"50011136\"] \n  32 [size=\"38758400\", alpha=\"0.09\", expect_size=\"19379200\"] \n  33 [size=\"16547840\", alpha=\"0.08\", expect_size=\"8273920\"] \n  34 [size=\"13936640\", alpha=\"0.01\", expect_size=\"6968320\"] \n  35 [size=\"24487936\", alpha=\"0.17\", expect_size=\"12243968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73189376\", alpha=\"0.15\", expect_size=\"36594688\"] \n  1 -> 4 [size =\"36594688\"]\n  1 -> 6 [size =\"36594688\"]\n  1 -> 7 [size =\"36594688\"]\n  1 -> 8 [size =\"36594688\"]\n  2 [size=\"85542912\", alpha=\"0.08\", expect_size=\"42771456\"] \n  2 -> 5 [size =\"42771456\"]\n  3 [size=\"74123264\", alpha=\"0.05\", expect_size=\"37061632\"] \n  3 -> 4 [size =\"37061632\"]\n  3 -> 5 [size =\"37061632\"]\n  3 -> 7 [size =\"37061632\"]\n  4 [size=\"98840576\", alpha=\"0.10\", expect_size=\"49420288\"] \n  4 -> 9 [size =\"49420288\"]\n  4 -> 15 [size =\"49420288\"]\n  5 [size=\"34822144\", alpha=\"0.00\", expect_size=\"17411072\"] \n  5 -> 10 [size =\"17411072\"]\n  6 [size=\"104450048\", alpha=\"0.12\", expect_size=\"52225024\"] \n  6 -> 9 [size =\"52225024\"]\n  6 -> 11 [size =\"52225024\"]\n  6 -> 12 [size =\"52225024\"]\n  6 -> 13 [size =\"52225024\"]\n  6 -> 14 [size =\"52225024\"]\n  7 [size=\"97910784\", alpha=\"0.20\", expect_size=\"48955392\"] \n  7 -> 9 [size =\"48955392\"]\n  7 -> 11 [size =\"48955392\"]\n  7 -> 13 [size =\"48955392\"]\n  7 -> 15 [size =\"48955392\"]\n  8 [size=\"51644416\", alpha=\"0.14\", expect_size=\"25822208\"] \n  8 -> 9 [size =\"25822208\"]\n  8 -> 11 [size =\"25822208\"]\n  8 -> 13 [size =\"25822208\"]\n  8 -> 15 [size =\"25822208\"]\n  9 [size=\"48128000\", alpha=\"0.13\", expect_size=\"24064000\"] \n  9 -> 16 [size =\"24064000\"]\n  9 -> 17 [size =\"24064000\"]\n  9 -> 19 [size =\"24064000\"]\n  10 [size=\"74424320\", alpha=\"0.15\", expect_size=\"37212160\"] \n  10 -> 16 [size =\"37212160\"]\n  10 -> 19 [size =\"37212160\"]\n  11 [size=\"17985536\", alpha=\"0.03\", expect_size=\"8992768\"] \n  11 -> 16 [size =\"8992768\"]\n  11 -> 17 [size =\"8992768\"]\n  11 -> 18 [size =\"8992768\"]\n  12 [size=\"88997888\", alpha=\"0.13\", expect_size=\"44498944\"] \n  12 -> 17 [size =\"44498944\"]\n  12 -> 18 [size =\"44498944\"]\n  13 [size=\"33343488\", alpha=\"0.12\", expect_size=\"16671744\"] \n  13 -> 16 [size =\"16671744\"]\n  13 -> 18 [size =\"16671744\"]\n  13 -> 19 [size =\"16671744\"]\n  14 [size=\"55996416\", alpha=\"0.09\", expect_size=\"27998208\"] \n  14 -> 16 [size =\"27998208\"]\n  14 -> 18 [size =\"27998208\"]\n  15 [size=\"104519680\", alpha=\"0.14\", expect_size=\"52259840\"] \n  15 -> 17 [size =\"52259840\"]\n  15 -> 18 [size =\"52259840\"]\n  15 -> 19 [size =\"52259840\"]\n  16 [size=\"10897408\", alpha=\"0.02\", expect_size=\"5448704\"] \n  16 -> 21 [size =\"5448704\"]\n  16 -> 22 [size =\"5448704\"]\n  16 -> 24 [size =\"5448704\"]\n  16 -> 25 [size =\"5448704\"]\n  17 [size=\"69236736\", alpha=\"0.05\", expect_size=\"34618368\"] \n  17 -> 21 [size =\"34618368\"]\n  17 -> 22 [size =\"34618368\"]\n  17 -> 24 [size =\"34618368\"]\n  18 [size=\"68478976\", alpha=\"0.10\", expect_size=\"34239488\"] \n  18 -> 21 [size =\"34239488\"]\n  18 -> 22 [size =\"34239488\"]\n  18 -> 23 [size =\"34239488\"]\n  19 [size=\"37863424\", alpha=\"0.04\", expect_size=\"18931712\"] \n  19 -> 20 [size =\"18931712\"]\n  19 -> 24 [size =\"18931712\"]\n  19 -> 26 [size =\"18931712\"]\n  20 [size=\"101560320\", alpha=\"0.00\", expect_size=\"50780160\"] \n  20 -> 27 [size =\"50780160\"]\n  20 -> 28 [size =\"50780160\"]\n  20 -> 29 [size =\"50780160\"]\n  21 [size=\"80148480\", alpha=\"0.09\", expect_size=\"40074240\"] \n  21 -> 28 [size =\"40074240\"]\n  21 -> 29 [size =\"40074240\"]\n  22 [size=\"94427136\", alpha=\"0.14\", expect_size=\"47213568\"] \n  23 [size=\"61679616\", alpha=\"0.12\", expect_size=\"30839808\"] \n  23 -> 28 [size =\"30839808\"]\n  24 [size=\"24936448\", alpha=\"0.09\", expect_size=\"12468224\"] \n  24 -> 27 [size =\"12468224\"]\n  24 -> 28 [size =\"12468224\"]\n  24 -> 29 [size =\"12468224\"]\n  25 [size=\"65357824\", alpha=\"0.11\", expect_size=\"32678912\"] \n  25 -> 27 [size =\"32678912\"]\n  25 -> 28 [size =\"32678912\"]\n  25 -> 29 [size =\"32678912\"]\n  26 [size=\"36282368\", alpha=\"0.13\", expect_size=\"18141184\"] \n  26 -> 29 [size =\"18141184\"]\n  27 [size=\"47728640\", alpha=\"0.14\", expect_size=\"23864320\"] \n  28 [size=\"72110080\", alpha=\"0.03\", expect_size=\"36055040\"] \n  28 -> 30 [size =\"36055040\"]\n  29 [size=\"26095616\", alpha=\"0.00\", expect_size=\"13047808\"] \n  29 -> 30 [size =\"13047808\"]\n  29 -> 31 [size =\"13047808\"]\n  30 [size=\"46960640\", alpha=\"0.11\", expect_size=\"23480320\"] \n  30 -> 32 [size =\"23480320\"]\n  31 [size=\"47038464\", alpha=\"0.04\", expect_size=\"23519232\"] \n  31 -> 33 [size =\"23519232\"]\n  32 [size=\"89038848\", alpha=\"0.13\", expect_size=\"44519424\"] \n  32 -> 34 [size =\"44519424\"]\n  32 -> 35 [size =\"44519424\"]\n  33 [size=\"59275264\", alpha=\"0.07\", expect_size=\"29637632\"] \n  33 -> 34 [size =\"29637632\"]\n  33 -> 35 [size =\"29637632\"]\n  34 [size=\"21387264\", alpha=\"0.10\", expect_size=\"10693632\"] \n  35 [size=\"63729664\", alpha=\"0.14\", expect_size=\"31864832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155450027\", alpha=\"0.02\", expect_size=\"46635008\"] \n  1 -> 2 [size =\"46635008\"]\n  2 [size=\"157631147\", alpha=\"0.09\", expect_size=\"47289344\"] \n  2 -> 3 [size =\"47289344\"]\n  3 [size=\"117558613\", alpha=\"0.04\", expect_size=\"35267584\"] \n  3 -> 4 [size =\"35267584\"]\n  4 [size=\"40826880\", alpha=\"0.10\", expect_size=\"12248064\"] \n  4 -> 5 [size =\"12248064\"]\n  5 [size=\"133969920\", alpha=\"0.06\", expect_size=\"40190976\"] \n  5 -> 6 [size =\"40190976\"]\n  6 [size=\"142288213\", alpha=\"0.02\", expect_size=\"42686464\"] \n  6 -> 7 [size =\"42686464\"]\n  7 [size=\"112308907\", alpha=\"0.16\", expect_size=\"33692672\"] \n  7 -> 8 [size =\"33692672\"]\n  8 [size=\"103413760\", alpha=\"0.03\", expect_size=\"31024128\"] \n  8 -> 9 [size =\"31024128\"]\n  9 [size=\"53329920\", alpha=\"0.14\", expect_size=\"15998976\"] \n  9 -> 10 [size =\"15998976\"]\n  10 [size=\"150104747\", alpha=\"0.00\", expect_size=\"45031424\"] \n  10 -> 11 [size =\"45031424\"]\n  11 [size=\"161634987\", alpha=\"0.10\", expect_size=\"48490496\"] \n  11 -> 12 [size =\"48490496\"]\n  12 [size=\"20295680\", alpha=\"0.01\", expect_size=\"6088704\"] \n  12 -> 13 [size =\"6088704\"]\n  13 [size=\"94436693\", alpha=\"0.11\", expect_size=\"28331008\"] \n  13 -> 14 [size =\"28331008\"]\n  14 [size=\"125262507\", alpha=\"0.16\", expect_size=\"37578752\"] \n  14 -> 15 [size =\"37578752\"]\n  15 [size=\"45213013\", alpha=\"0.09\", expect_size=\"13563904\"] \n  15 -> 16 [size =\"13563904\"]\n  16 [size=\"95771307\", alpha=\"0.11\", expect_size=\"28731392\"] \n  16 -> 17 [size =\"28731392\"]\n  17 [size=\"114336427\", alpha=\"0.18\", expect_size=\"34300928\"] \n  17 -> 18 [size =\"34300928\"]\n  18 [size=\"83408213\", alpha=\"0.10\", expect_size=\"25022464\"] \n  18 -> 19 [size =\"25022464\"]\n  19 [size=\"107229867\", alpha=\"0.16\", expect_size=\"32168960\"] \n  19 -> 20 [size =\"32168960\"]\n  20 [size=\"56890027\", alpha=\"0.02\", expect_size=\"17067008\"] \n  20 -> 21 [size =\"17067008\"]\n  21 [size=\"57067520\", alpha=\"0.05\", expect_size=\"17120256\"] \n  21 -> 22 [size =\"17120256\"]\n  22 [size=\"139079680\", alpha=\"0.06\", expect_size=\"41723904\"] \n  22 -> 23 [size =\"41723904\"]\n  23 [size=\"150295893\", alpha=\"0.00\", expect_size=\"45088768\"] \n  23 -> 24 [size =\"45088768\"]\n  24 [size=\"81926827\", alpha=\"0.17\", expect_size=\"24578048\"] \n  24 -> 25 [size =\"24578048\"]\n  25 [size=\"50841600\", alpha=\"0.09\", expect_size=\"15252480\"] \n  25 -> 26 [size =\"15252480\"]\n  26 [size=\"119101440\", alpha=\"0.16\", expect_size=\"35730432\"] \n  26 -> 27 [size =\"35730432\"]\n  27 [size=\"49701547\", alpha=\"0.16\", expect_size=\"14910464\"] \n  27 -> 28 [size =\"14910464\"]\n  28 [size=\"35123200\", alpha=\"0.07\", expect_size=\"10536960\"] \n  28 -> 29 [size =\"10536960\"]\n  29 [size=\"110028800\", alpha=\"0.02\", expect_size=\"33008640\"] \n  29 -> 30 [size =\"33008640\"]\n  30 [size=\"79759360\", alpha=\"0.14\", expect_size=\"23927808\"] \n  30 -> 31 [size =\"23927808\"]\n  31 [size=\"95088640\", alpha=\"0.04\", expect_size=\"28526592\"] \n  31 -> 32 [size =\"28526592\"]\n  32 [size=\"136704000\", alpha=\"0.15\", expect_size=\"41011200\"] \n  32 -> 33 [size =\"41011200\"]\n  33 [size=\"30190933\", alpha=\"0.15\", expect_size=\"9057280\"] \n  33 -> 34 [size =\"9057280\"]\n  34 [size=\"32911360\", alpha=\"0.09\", expect_size=\"9873408\"] \n  34 -> 35 [size =\"9873408\"]\n  35 [size=\"168229547\", alpha=\"0.07\", expect_size=\"50468864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15365120\", alpha=\"0.12\", expect_size=\"6146048\"] \n  1 -> 6 [size =\"6146048\"]\n  2 [size=\"102376960\", alpha=\"0.19\", expect_size=\"40950784\"] \n  2 -> 6 [size =\"40950784\"]\n  3 [size=\"76157440\", alpha=\"0.05\", expect_size=\"30462976\"] \n  4 [size=\"66232320\", alpha=\"0.17\", expect_size=\"26492928\"] \n  4 -> 8 [size =\"26492928\"]\n  4 -> 9 [size =\"26492928\"]\n  5 [size=\"121075200\", alpha=\"0.10\", expect_size=\"48430080\"] \n  5 -> 7 [size =\"48430080\"]\n  5 -> 8 [size =\"48430080\"]\n  6 [size=\"32929280\", alpha=\"0.19\", expect_size=\"13171712\"] \n  6 -> 11 [size =\"13171712\"]\n  7 [size=\"63841280\", alpha=\"0.10\", expect_size=\"25536512\"] \n  7 -> 10 [size =\"25536512\"]\n  7 -> 11 [size =\"25536512\"]\n  7 -> 12 [size =\"25536512\"]\n  8 [size=\"126202880\", alpha=\"0.01\", expect_size=\"50481152\"] \n  9 [size=\"29286400\", alpha=\"0.12\", expect_size=\"11714560\"] \n  9 -> 11 [size =\"11714560\"]\n  9 -> 12 [size =\"11714560\"]\n  9 -> 13 [size =\"11714560\"]\n  10 [size=\"19589120\", alpha=\"0.12\", expect_size=\"7835648\"] \n  10 -> 14 [size =\"7835648\"]\n  10 -> 16 [size =\"7835648\"]\n  11 [size=\"19125760\", alpha=\"0.13\", expect_size=\"7650304\"] \n  11 -> 15 [size =\"7650304\"]\n  11 -> 16 [size =\"7650304\"]\n  11 -> 17 [size =\"7650304\"]\n  11 -> 18 [size =\"7650304\"]\n  12 [size=\"90739200\", alpha=\"0.14\", expect_size=\"36295680\"] \n  12 -> 14 [size =\"36295680\"]\n  12 -> 17 [size =\"36295680\"]\n  12 -> 18 [size =\"36295680\"]\n  13 [size=\"86766080\", alpha=\"0.13\", expect_size=\"34706432\"] \n  14 [size=\"115481600\", alpha=\"0.16\", expect_size=\"46192640\"] \n  14 -> 20 [size =\"46192640\"]\n  14 -> 22 [size =\"46192640\"]\n  15 [size=\"98938880\", alpha=\"0.19\", expect_size=\"39575552\"] \n  15 -> 21 [size =\"39575552\"]\n  15 -> 22 [size =\"39575552\"]\n  15 -> 23 [size =\"39575552\"]\n  16 [size=\"42193920\", alpha=\"0.14\", expect_size=\"16877568\"] \n  16 -> 23 [size =\"16877568\"]\n  17 [size=\"38668800\", alpha=\"0.14\", expect_size=\"15467520\"] \n  17 -> 19 [size =\"15467520\"]\n  17 -> 23 [size =\"15467520\"]\n  17 -> 24 [size =\"15467520\"]\n  18 [size=\"99294720\", alpha=\"0.19\", expect_size=\"39717888\"] \n  19 [size=\"105418240\", alpha=\"0.12\", expect_size=\"42167296\"] \n  20 [size=\"58539520\", alpha=\"0.14\", expect_size=\"23415808\"] \n  20 -> 26 [size =\"23415808\"]\n  21 [size=\"130990080\", alpha=\"0.17\", expect_size=\"52396032\"] \n  21 -> 25 [size =\"52396032\"]\n  21 -> 26 [size =\"52396032\"]\n  21 -> 28 [size =\"52396032\"]\n  22 [size=\"92428800\", alpha=\"0.15\", expect_size=\"36971520\"] \n  22 -> 26 [size =\"36971520\"]\n  22 -> 27 [size =\"36971520\"]\n  23 [size=\"54958080\", alpha=\"0.04\", expect_size=\"21983232\"] \n  23 -> 28 [size =\"21983232\"]\n  24 [size=\"15004160\", alpha=\"0.02\", expect_size=\"6001664\"] \n  24 -> 26 [size =\"6001664\"]\n  25 [size=\"111452160\", alpha=\"0.18\", expect_size=\"44580864\"] \n  25 -> 29 [size =\"44580864\"]\n  25 -> 30 [size =\"44580864\"]\n  25 -> 31 [size =\"44580864\"]\n  26 [size=\"103347200\", alpha=\"0.17\", expect_size=\"41338880\"] \n  26 -> 29 [size =\"41338880\"]\n  26 -> 30 [size =\"41338880\"]\n  27 [size=\"66944000\", alpha=\"0.05\", expect_size=\"26777600\"] \n  28 [size=\"32545280\", alpha=\"0.12\", expect_size=\"13018112\"] \n  28 -> 29 [size =\"13018112\"]\n  28 -> 31 [size =\"13018112\"]\n  29 [size=\"28262400\", alpha=\"0.02\", expect_size=\"11304960\"] \n  30 [size=\"98019840\", alpha=\"0.13\", expect_size=\"39207936\"] \n  30 -> 33 [size =\"39207936\"]\n  30 -> 34 [size =\"39207936\"]\n  30 -> 35 [size =\"39207936\"]\n  31 [size=\"64401920\", alpha=\"0.05\", expect_size=\"25760768\"] \n  31 -> 32 [size =\"25760768\"]\n  31 -> 34 [size =\"25760768\"]\n  31 -> 35 [size =\"25760768\"]\n  32 [size=\"47628800\", alpha=\"0.10\", expect_size=\"19051520\"] \n  33 [size=\"19008000\", alpha=\"0.08\", expect_size=\"7603200\"] \n  34 [size=\"41592320\", alpha=\"0.03\", expect_size=\"16636928\"] \n  35 [size=\"50542080\", alpha=\"0.12\", expect_size=\"20216832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12494848\", alpha=\"0.18\", expect_size=\"6247424\"] \n  1 -> 5 [size =\"6247424\"]\n  1 -> 6 [size =\"6247424\"]\n  1 -> 7 [size =\"6247424\"]\n  1 -> 8 [size =\"6247424\"]\n  2 [size=\"18604032\", alpha=\"0.12\", expect_size=\"9302016\"] \n  2 -> 5 [size =\"9302016\"]\n  2 -> 6 [size =\"9302016\"]\n  2 -> 7 [size =\"9302016\"]\n  3 [size=\"95877120\", alpha=\"0.07\", expect_size=\"47938560\"] \n  3 -> 5 [size =\"47938560\"]\n  3 -> 8 [size =\"47938560\"]\n  3 -> 9 [size =\"47938560\"]\n  4 [size=\"84262912\", alpha=\"0.13\", expect_size=\"42131456\"] \n  4 -> 5 [size =\"42131456\"]\n  4 -> 6 [size =\"42131456\"]\n  4 -> 7 [size =\"42131456\"]\n  4 -> 8 [size =\"42131456\"]\n  5 [size=\"74106880\", alpha=\"0.04\", expect_size=\"37053440\"] \n  5 -> 12 [size =\"37053440\"]\n  5 -> 12 [size =\"37053440\"]\n  6 [size=\"82944000\", alpha=\"0.08\", expect_size=\"41472000\"] \n  6 -> 10 [size =\"41472000\"]\n  6 -> 11 [size =\"41472000\"]\n  6 -> 12 [size =\"41472000\"]\n  7 [size=\"63148032\", alpha=\"0.17\", expect_size=\"31574016\"] \n  7 -> 11 [size =\"31574016\"]\n  7 -> 12 [size =\"31574016\"]\n  8 [size=\"23984128\", alpha=\"0.04\", expect_size=\"11992064\"] \n  9 [size=\"72421376\", alpha=\"0.16\", expect_size=\"36210688\"] \n  9 -> 10 [size =\"36210688\"]\n  9 -> 12 [size =\"36210688\"]\n  10 [size=\"60295168\", alpha=\"0.11\", expect_size=\"30147584\"] \n  10 -> 13 [size =\"30147584\"]\n  10 -> 15 [size =\"30147584\"]\n  10 -> 16 [size =\"30147584\"]\n  10 -> 17 [size =\"30147584\"]\n  11 [size=\"31311872\", alpha=\"0.18\", expect_size=\"15655936\"] \n  11 -> 13 [size =\"15655936\"]\n  11 -> 14 [size =\"15655936\"]\n  11 -> 15 [size =\"15655936\"]\n  11 -> 16 [size =\"15655936\"]\n  11 -> 17 [size =\"15655936\"]\n  12 [size=\"22122496\", alpha=\"0.00\", expect_size=\"11061248\"] \n  12 -> 13 [size =\"11061248\"]\n  12 -> 15 [size =\"11061248\"]\n  12 -> 16 [size =\"11061248\"]\n  12 -> 17 [size =\"11061248\"]\n  13 [size=\"79853568\", alpha=\"0.13\", expect_size=\"39926784\"] \n  13 -> 18 [size =\"39926784\"]\n  13 -> 20 [size =\"39926784\"]\n  13 -> 22 [size =\"39926784\"]\n  13 -> 23 [size =\"39926784\"]\n  14 [size=\"16490496\", alpha=\"0.09\", expect_size=\"8245248\"] \n  14 -> 18 [size =\"8245248\"]\n  14 -> 21 [size =\"8245248\"]\n  14 -> 23 [size =\"8245248\"]\n  14 -> 23 [size =\"8245248\"]\n  15 [size=\"77891584\", alpha=\"0.17\", expect_size=\"38945792\"] \n  15 -> 22 [size =\"38945792\"]\n  15 -> 23 [size =\"38945792\"]\n  16 [size=\"94912512\", alpha=\"0.06\", expect_size=\"47456256\"] \n  16 -> 18 [size =\"47456256\"]\n  16 -> 22 [size =\"47456256\"]\n  17 [size=\"38436864\", alpha=\"0.13\", expect_size=\"19218432\"] \n  17 -> 18 [size =\"19218432\"]\n  17 -> 19 [size =\"19218432\"]\n  17 -> 21 [size =\"19218432\"]\n  17 -> 22 [size =\"19218432\"]\n  17 -> 23 [size =\"19218432\"]\n  18 [size=\"23214080\", alpha=\"0.17\", expect_size=\"11607040\"] \n  18 -> 25 [size =\"11607040\"]\n  18 -> 28 [size =\"11607040\"]\n  19 [size=\"39833600\", alpha=\"0.03\", expect_size=\"19916800\"] \n  20 [size=\"18647040\", alpha=\"0.03\", expect_size=\"9323520\"] \n  20 -> 24 [size =\"9323520\"]\n  21 [size=\"72853504\", alpha=\"0.03\", expect_size=\"36426752\"] \n  21 -> 24 [size =\"36426752\"]\n  21 -> 26 [size =\"36426752\"]\n  21 -> 27 [size =\"36426752\"]\n  22 [size=\"64862208\", alpha=\"0.05\", expect_size=\"32431104\"] \n  22 -> 26 [size =\"32431104\"]\n  23 [size=\"66951168\", alpha=\"0.05\", expect_size=\"33475584\"] \n  23 -> 24 [size =\"33475584\"]\n  23 -> 25 [size =\"33475584\"]\n  23 -> 27 [size =\"33475584\"]\n  24 [size=\"31725568\", alpha=\"0.01\", expect_size=\"15862784\"] \n  24 -> 32 [size =\"15862784\"]\n  24 -> 33 [size =\"15862784\"]\n  25 [size=\"75421696\", alpha=\"0.11\", expect_size=\"37710848\"] \n  25 -> 29 [size =\"37710848\"]\n  25 -> 30 [size =\"37710848\"]\n  25 -> 31 [size =\"37710848\"]\n  25 -> 33 [size =\"37710848\"]\n  26 [size=\"60895232\", alpha=\"0.15\", expect_size=\"30447616\"] \n  26 -> 30 [size =\"30447616\"]\n  26 -> 30 [size =\"30447616\"]\n  26 -> 32 [size =\"30447616\"]\n  26 -> 33 [size =\"30447616\"]\n  27 [size=\"91224064\", alpha=\"0.11\", expect_size=\"45612032\"] \n  27 -> 32 [size =\"45612032\"]\n  27 -> 33 [size =\"45612032\"]\n  28 [size=\"59482112\", alpha=\"0.10\", expect_size=\"29741056\"] \n  28 -> 31 [size =\"29741056\"]\n  28 -> 32 [size =\"29741056\"]\n  28 -> 33 [size =\"29741056\"]\n  29 [size=\"46446592\", alpha=\"0.02\", expect_size=\"23223296\"] \n  29 -> 34 [size =\"23223296\"]\n  30 [size=\"59111424\", alpha=\"0.04\", expect_size=\"29555712\"] \n  31 [size=\"71753728\", alpha=\"0.11\", expect_size=\"35876864\"] \n  31 -> 34 [size =\"35876864\"]\n  31 -> 35 [size =\"35876864\"]\n  32 [size=\"86382592\", alpha=\"0.00\", expect_size=\"43191296\"] \n  32 -> 35 [size =\"43191296\"]\n  33 [size=\"16746496\", alpha=\"0.04\", expect_size=\"8373248\"] \n  33 -> 34 [size =\"8373248\"]\n  34 [size=\"42608640\", alpha=\"0.10\", expect_size=\"21304320\"] \n  35 [size=\"49002496\", alpha=\"0.09\", expect_size=\"24501248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97402880\", alpha=\"0.08\", expect_size=\"29220864\"] \n  1 -> 3 [size =\"29220864\"]\n  1 -> 4 [size =\"29220864\"]\n  1 -> 6 [size =\"29220864\"]\n  1 -> 7 [size =\"29220864\"]\n  1 -> 8 [size =\"29220864\"]\n  2 [size=\"160126293\", alpha=\"0.18\", expect_size=\"48037888\"] \n  2 -> 3 [size =\"48037888\"]\n  2 -> 4 [size =\"48037888\"]\n  2 -> 5 [size =\"48037888\"]\n  2 -> 6 [size =\"48037888\"]\n  2 -> 7 [size =\"48037888\"]\n  2 -> 8 [size =\"48037888\"]\n  3 [size=\"99409920\", alpha=\"0.06\", expect_size=\"29822976\"] \n  3 -> 10 [size =\"29822976\"]\n  4 [size=\"130628267\", alpha=\"0.06\", expect_size=\"39188480\"] \n  4 -> 9 [size =\"39188480\"]\n  4 -> 10 [size =\"39188480\"]\n  5 [size=\"172851200\", alpha=\"0.10\", expect_size=\"51855360\"] \n  5 -> 9 [size =\"51855360\"]\n  5 -> 10 [size =\"51855360\"]\n  5 -> 11 [size =\"51855360\"]\n  6 [size=\"163826347\", alpha=\"0.20\", expect_size=\"49147904\"] \n  6 -> 9 [size =\"49147904\"]\n  6 -> 10 [size =\"49147904\"]\n  6 -> 11 [size =\"49147904\"]\n  7 [size=\"132119893\", alpha=\"0.15\", expect_size=\"39635968\"] \n  7 -> 10 [size =\"39635968\"]\n  8 [size=\"163065173\", alpha=\"0.12\", expect_size=\"48919552\"] \n  8 -> 10 [size =\"48919552\"]\n  9 [size=\"33962667\", alpha=\"0.07\", expect_size=\"10188800\"] \n  9 -> 12 [size =\"10188800\"]\n  9 -> 13 [size =\"10188800\"]\n  9 -> 14 [size =\"10188800\"]\n  9 -> 15 [size =\"10188800\"]\n  9 -> 17 [size =\"10188800\"]\n  10 [size=\"139192320\", alpha=\"0.13\", expect_size=\"41757696\"] \n  10 -> 12 [size =\"41757696\"]\n  10 -> 13 [size =\"41757696\"]\n  10 -> 14 [size =\"41757696\"]\n  10 -> 15 [size =\"41757696\"]\n  10 -> 16 [size =\"41757696\"]\n  10 -> 17 [size =\"41757696\"]\n  11 [size=\"160027307\", alpha=\"0.11\", expect_size=\"48008192\"] \n  11 -> 12 [size =\"48008192\"]\n  11 -> 13 [size =\"48008192\"]\n  11 -> 14 [size =\"48008192\"]\n  11 -> 16 [size =\"48008192\"]\n  11 -> 17 [size =\"48008192\"]\n  12 [size=\"67276800\", alpha=\"0.16\", expect_size=\"20183040\"] \n  12 -> 18 [size =\"20183040\"]\n  12 -> 19 [size =\"20183040\"]\n  12 -> 21 [size =\"20183040\"]\n  13 [size=\"49807360\", alpha=\"0.19\", expect_size=\"14942208\"] \n  13 -> 18 [size =\"14942208\"]\n  13 -> 20 [size =\"14942208\"]\n  13 -> 23 [size =\"14942208\"]\n  14 [size=\"98826240\", alpha=\"0.09\", expect_size=\"29647872\"] \n  14 -> 18 [size =\"29647872\"]\n  14 -> 20 [size =\"29647872\"]\n  14 -> 22 [size =\"29647872\"]\n  14 -> 23 [size =\"29647872\"]\n  15 [size=\"149282133\", alpha=\"0.11\", expect_size=\"44784640\"] \n  15 -> 18 [size =\"44784640\"]\n  15 -> 22 [size =\"44784640\"]\n  15 -> 22 [size =\"44784640\"]\n  15 -> 23 [size =\"44784640\"]\n  16 [size=\"72618667\", alpha=\"0.08\", expect_size=\"21785600\"] \n  16 -> 18 [size =\"21785600\"]\n  16 -> 22 [size =\"21785600\"]\n  17 [size=\"69608107\", alpha=\"0.08\", expect_size=\"20882432\"] \n  17 -> 18 [size =\"20882432\"]\n  17 -> 22 [size =\"20882432\"]\n  18 [size=\"34191360\", alpha=\"0.10\", expect_size=\"10257408\"] \n  18 -> 24 [size =\"10257408\"]\n  18 -> 27 [size =\"10257408\"]\n  19 [size=\"130942293\", alpha=\"0.06\", expect_size=\"39282688\"] \n  19 -> 24 [size =\"39282688\"]\n  19 -> 27 [size =\"39282688\"]\n  20 [size=\"29590187\", alpha=\"0.03\", expect_size=\"8877056\"] \n  20 -> 25 [size =\"8877056\"]\n  20 -> 26 [size =\"8877056\"]\n  20 -> 27 [size =\"8877056\"]\n  21 [size=\"130177707\", alpha=\"0.10\", expect_size=\"39053312\"] \n  21 -> 25 [size =\"39053312\"]\n  21 -> 27 [size =\"39053312\"]\n  22 [size=\"61282987\", alpha=\"0.14\", expect_size=\"18384896\"] \n  22 -> 24 [size =\"18384896\"]\n  22 -> 27 [size =\"18384896\"]\n  23 [size=\"26378240\", alpha=\"0.10\", expect_size=\"7913472\"] \n  23 -> 24 [size =\"7913472\"]\n  23 -> 27 [size =\"7913472\"]\n  23 -> 28 [size =\"7913472\"]\n  24 [size=\"21739520\", alpha=\"0.20\", expect_size=\"6521856\"] \n  24 -> 29 [size =\"6521856\"]\n  24 -> 30 [size =\"6521856\"]\n  25 [size=\"91764053\", alpha=\"0.09\", expect_size=\"27529216\"] \n  25 -> 29 [size =\"27529216\"]\n  25 -> 30 [size =\"27529216\"]\n  26 [size=\"18022400\", alpha=\"0.17\", expect_size=\"5406720\"] \n  26 -> 29 [size =\"5406720\"]\n  26 -> 30 [size =\"5406720\"]\n  27 [size=\"79472640\", alpha=\"0.20\", expect_size=\"23841792\"] \n  27 -> 30 [size =\"23841792\"]\n  28 [size=\"144438613\", alpha=\"0.01\", expect_size=\"43331584\"] \n  28 -> 29 [size =\"43331584\"]\n  28 -> 30 [size =\"43331584\"]\n  29 [size=\"63972693\", alpha=\"0.05\", expect_size=\"19191808\"] \n  29 -> 31 [size =\"19191808\"]\n  29 -> 32 [size =\"19191808\"]\n  29 -> 33 [size =\"19191808\"]\n  30 [size=\"111479467\", alpha=\"0.03\", expect_size=\"33443840\"] \n  30 -> 31 [size =\"33443840\"]\n  30 -> 33 [size =\"33443840\"]\n  31 [size=\"132686507\", alpha=\"0.00\", expect_size=\"39805952\"] \n  31 -> 34 [size =\"39805952\"]\n  31 -> 35 [size =\"39805952\"]\n  32 [size=\"50237440\", alpha=\"0.03\", expect_size=\"15071232\"] \n  32 -> 34 [size =\"15071232\"]\n  32 -> 35 [size =\"15071232\"]\n  33 [size=\"164068693\", alpha=\"0.11\", expect_size=\"49220608\"] \n  33 -> 34 [size =\"49220608\"]\n  33 -> 35 [size =\"49220608\"]\n  34 [size=\"84251307\", alpha=\"0.09\", expect_size=\"25275392\"] \n  35 [size=\"81233920\", alpha=\"0.03\", expect_size=\"24370176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101186560\", alpha=\"0.19\", expect_size=\"40474624\"] \n  1 -> 6 [size =\"40474624\"]\n  1 -> 7 [size =\"40474624\"]\n  1 -> 8 [size =\"40474624\"]\n  2 [size=\"100126720\", alpha=\"0.06\", expect_size=\"40050688\"] \n  2 -> 6 [size =\"40050688\"]\n  2 -> 8 [size =\"40050688\"]\n  3 [size=\"116454400\", alpha=\"0.01\", expect_size=\"46581760\"] \n  3 -> 5 [size =\"46581760\"]\n  3 -> 7 [size =\"46581760\"]\n  4 [size=\"53760000\", alpha=\"0.06\", expect_size=\"21504000\"] \n  4 -> 5 [size =\"21504000\"]\n  4 -> 6 [size =\"21504000\"]\n  4 -> 7 [size =\"21504000\"]\n  5 [size=\"127595520\", alpha=\"0.00\", expect_size=\"51038208\"] \n  5 -> 9 [size =\"51038208\"]\n  5 -> 11 [size =\"51038208\"]\n  5 -> 12 [size =\"51038208\"]\n  5 -> 13 [size =\"51038208\"]\n  6 [size=\"43845120\", alpha=\"0.17\", expect_size=\"17538048\"] \n  6 -> 9 [size =\"17538048\"]\n  6 -> 12 [size =\"17538048\"]\n  6 -> 13 [size =\"17538048\"]\n  7 [size=\"120104960\", alpha=\"0.14\", expect_size=\"48041984\"] \n  7 -> 10 [size =\"48041984\"]\n  7 -> 12 [size =\"48041984\"]\n  7 -> 13 [size =\"48041984\"]\n  8 [size=\"61514240\", alpha=\"0.20\", expect_size=\"24605696\"] \n  8 -> 9 [size =\"24605696\"]\n  8 -> 13 [size =\"24605696\"]\n  9 [size=\"81326080\", alpha=\"0.18\", expect_size=\"32530432\"] \n  9 -> 14 [size =\"32530432\"]\n  9 -> 15 [size =\"32530432\"]\n  9 -> 17 [size =\"32530432\"]\n  9 -> 18 [size =\"32530432\"]\n  10 [size=\"35386880\", alpha=\"0.13\", expect_size=\"14154752\"] \n  10 -> 14 [size =\"14154752\"]\n  10 -> 15 [size =\"14154752\"]\n  10 -> 16 [size =\"14154752\"]\n  10 -> 18 [size =\"14154752\"]\n  11 [size=\"20823040\", alpha=\"0.06\", expect_size=\"8329216\"] \n  11 -> 14 [size =\"8329216\"]\n  11 -> 16 [size =\"8329216\"]\n  12 [size=\"14315520\", alpha=\"0.01\", expect_size=\"5726208\"] \n  12 -> 14 [size =\"5726208\"]\n  12 -> 15 [size =\"5726208\"]\n  12 -> 16 [size =\"5726208\"]\n  12 -> 18 [size =\"5726208\"]\n  13 [size=\"52551680\", alpha=\"0.20\", expect_size=\"21020672\"] \n  13 -> 14 [size =\"21020672\"]\n  13 -> 15 [size =\"21020672\"]\n  13 -> 17 [size =\"21020672\"]\n  13 -> 18 [size =\"21020672\"]\n  14 [size=\"59804160\", alpha=\"0.02\", expect_size=\"23921664\"] \n  14 -> 19 [size =\"23921664\"]\n  14 -> 21 [size =\"23921664\"]\n  14 -> 22 [size =\"23921664\"]\n  14 -> 23 [size =\"23921664\"]\n  15 [size=\"95887360\", alpha=\"0.04\", expect_size=\"38354944\"] \n  15 -> 19 [size =\"38354944\"]\n  15 -> 20 [size =\"38354944\"]\n  16 [size=\"96030720\", alpha=\"0.02\", expect_size=\"38412288\"] \n  16 -> 21 [size =\"38412288\"]\n  16 -> 23 [size =\"38412288\"]\n  17 [size=\"76026880\", alpha=\"0.05\", expect_size=\"30410752\"] \n  17 -> 21 [size =\"30410752\"]\n  17 -> 23 [size =\"30410752\"]\n  18 [size=\"43330560\", alpha=\"0.18\", expect_size=\"17332224\"] \n  18 -> 19 [size =\"17332224\"]\n  18 -> 21 [size =\"17332224\"]\n  19 [size=\"42915840\", alpha=\"0.08\", expect_size=\"17166336\"] \n  19 -> 24 [size =\"17166336\"]\n  19 -> 26 [size =\"17166336\"]\n  19 -> 27 [size =\"17166336\"]\n  20 [size=\"28705280\", alpha=\"0.19\", expect_size=\"11482112\"] \n  20 -> 24 [size =\"11482112\"]\n  20 -> 25 [size =\"11482112\"]\n  20 -> 26 [size =\"11482112\"]\n  21 [size=\"102586880\", alpha=\"0.06\", expect_size=\"41034752\"] \n  21 -> 24 [size =\"41034752\"]\n  21 -> 26 [size =\"41034752\"]\n  21 -> 27 [size =\"41034752\"]\n  22 [size=\"21240320\", alpha=\"0.07\", expect_size=\"8496128\"] \n  22 -> 24 [size =\"8496128\"]\n  22 -> 25 [size =\"8496128\"]\n  22 -> 26 [size =\"8496128\"]\n  22 -> 27 [size =\"8496128\"]\n  23 [size=\"24519680\", alpha=\"0.06\", expect_size=\"9807872\"] \n  23 -> 24 [size =\"9807872\"]\n  23 -> 26 [size =\"9807872\"]\n  23 -> 27 [size =\"9807872\"]\n  24 [size=\"21831680\", alpha=\"0.11\", expect_size=\"8732672\"] \n  24 -> 28 [size =\"8732672\"]\n  24 -> 32 [size =\"8732672\"]\n  25 [size=\"32911360\", alpha=\"0.16\", expect_size=\"13164544\"] \n  25 -> 28 [size =\"13164544\"]\n  25 -> 31 [size =\"13164544\"]\n  25 -> 32 [size =\"13164544\"]\n  26 [size=\"56849920\", alpha=\"0.07\", expect_size=\"22739968\"] \n  26 -> 28 [size =\"22739968\"]\n  26 -> 29 [size =\"22739968\"]\n  26 -> 30 [size =\"22739968\"]\n  26 -> 31 [size =\"22739968\"]\n  27 [size=\"69509120\", alpha=\"0.15\", expect_size=\"27803648\"] \n  27 -> 28 [size =\"27803648\"]\n  27 -> 30 [size =\"27803648\"]\n  27 -> 31 [size =\"27803648\"]\n  27 -> 32 [size =\"27803648\"]\n  28 [size=\"98311680\", alpha=\"0.12\", expect_size=\"39324672\"] \n  28 -> 34 [size =\"39324672\"]\n  29 [size=\"89016320\", alpha=\"0.00\", expect_size=\"35606528\"] \n  29 -> 34 [size =\"35606528\"]\n  30 [size=\"16517120\", alpha=\"0.12\", expect_size=\"6606848\"] \n  30 -> 34 [size =\"6606848\"]\n  31 [size=\"130137600\", alpha=\"0.05\", expect_size=\"52055040\"] \n  31 -> 33 [size =\"52055040\"]\n  31 -> 35 [size =\"52055040\"]\n  32 [size=\"46097920\", alpha=\"0.19\", expect_size=\"18439168\"] \n  32 -> 34 [size =\"18439168\"]\n  33 [size=\"87352320\", alpha=\"0.19\", expect_size=\"34940928\"] \n  34 [size=\"121318400\", alpha=\"0.07\", expect_size=\"48527360\"] \n  35 [size=\"70684160\", alpha=\"0.09\", expect_size=\"28273664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143837867\", alpha=\"0.18\", expect_size=\"43151360\"] \n  1 -> 2 [size =\"43151360\"]\n  1 -> 3 [size =\"43151360\"]\n  2 [size=\"97788587\", alpha=\"0.07\", expect_size=\"29336576\"] \n  2 -> 5 [size =\"29336576\"]\n  3 [size=\"96068267\", alpha=\"0.18\", expect_size=\"28820480\"] \n  3 -> 4 [size =\"28820480\"]\n  3 -> 5 [size =\"28820480\"]\n  4 [size=\"170393600\", alpha=\"0.17\", expect_size=\"51118080\"] \n  5 [size=\"85353813\", alpha=\"0.04\", expect_size=\"25606144\"] \n  5 -> 6 [size =\"25606144\"]\n  5 -> 7 [size =\"25606144\"]\n  6 [size=\"156924587\", alpha=\"0.14\", expect_size=\"47077376\"] \n  7 [size=\"143892480\", alpha=\"0.01\", expect_size=\"43167744\"] \n  7 -> 8 [size =\"43167744\"]\n  8 [size=\"51408213\", alpha=\"0.11\", expect_size=\"15422464\"] \n  8 -> 9 [size =\"15422464\"]\n  9 [size=\"148029440\", alpha=\"0.15\", expect_size=\"44408832\"] \n  9 -> 10 [size =\"44408832\"]\n  9 -> 11 [size =\"44408832\"]\n  10 [size=\"51838293\", alpha=\"0.11\", expect_size=\"15551488\"] \n  10 -> 12 [size =\"15551488\"]\n  11 [size=\"172445013\", alpha=\"0.01\", expect_size=\"51733504\"] \n  11 -> 12 [size =\"51733504\"]\n  12 [size=\"153726293\", alpha=\"0.19\", expect_size=\"46117888\"] \n  12 -> 13 [size =\"46117888\"]\n  12 -> 14 [size =\"46117888\"]\n  13 [size=\"53968213\", alpha=\"0.14\", expect_size=\"16190464\"] \n  14 [size=\"35437227\", alpha=\"0.10\", expect_size=\"10631168\"] \n  14 -> 15 [size =\"10631168\"]\n  15 [size=\"167994027\", alpha=\"0.04\", expect_size=\"50398208\"] \n  15 -> 16 [size =\"50398208\"]\n  16 [size=\"40021333\", alpha=\"0.18\", expect_size=\"12006400\"] \n  16 -> 17 [size =\"12006400\"]\n  17 [size=\"149258240\", alpha=\"0.19\", expect_size=\"44777472\"] \n  17 -> 18 [size =\"44777472\"]\n  17 -> 19 [size =\"44777472\"]\n  18 [size=\"156972373\", alpha=\"0.07\", expect_size=\"47091712\"] \n  18 -> 20 [size =\"47091712\"]\n  18 -> 21 [size =\"47091712\"]\n  19 [size=\"83889493\", alpha=\"0.17\", expect_size=\"25166848\"] \n  19 -> 20 [size =\"25166848\"]\n  19 -> 21 [size =\"25166848\"]\n  20 [size=\"41857707\", alpha=\"0.17\", expect_size=\"12557312\"] \n  20 -> 22 [size =\"12557312\"]\n  21 [size=\"131908267\", alpha=\"0.13\", expect_size=\"39572480\"] \n  21 -> 22 [size =\"39572480\"]\n  22 [size=\"143240533\", alpha=\"0.20\", expect_size=\"42972160\"] \n  22 -> 23 [size =\"42972160\"]\n  23 [size=\"134987093\", alpha=\"0.16\", expect_size=\"40496128\"] \n  23 -> 24 [size =\"40496128\"]\n  24 [size=\"89224533\", alpha=\"0.12\", expect_size=\"26767360\"] \n  24 -> 25 [size =\"26767360\"]\n  25 [size=\"170758827\", alpha=\"0.16\", expect_size=\"51227648\"] \n  25 -> 26 [size =\"51227648\"]\n  26 [size=\"41246720\", alpha=\"0.18\", expect_size=\"12374016\"] \n  26 -> 27 [size =\"12374016\"]\n  26 -> 28 [size =\"12374016\"]\n  27 [size=\"23316480\", alpha=\"0.16\", expect_size=\"6994944\"] \n  28 [size=\"171588267\", alpha=\"0.18\", expect_size=\"51476480\"] \n  28 -> 29 [size =\"51476480\"]\n  29 [size=\"70662827\", alpha=\"0.17\", expect_size=\"21198848\"] \n  29 -> 30 [size =\"21198848\"]\n  30 [size=\"50616320\", alpha=\"0.01\", expect_size=\"15184896\"] \n  30 -> 31 [size =\"15184896\"]\n  31 [size=\"30163627\", alpha=\"0.04\", expect_size=\"9049088\"] \n  31 -> 32 [size =\"9049088\"]\n  32 [size=\"135659520\", alpha=\"0.04\", expect_size=\"40697856\"] \n  32 -> 33 [size =\"40697856\"]\n  32 -> 34 [size =\"40697856\"]\n  33 [size=\"132850347\", alpha=\"0.09\", expect_size=\"39855104\"] \n  33 -> 35 [size =\"39855104\"]\n  34 [size=\"100324693\", alpha=\"0.17\", expect_size=\"30097408\"] \n  34 -> 35 [size =\"30097408\"]\n  35 [size=\"33716907\", alpha=\"0.03\", expect_size=\"10115072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121029973\", alpha=\"0.10\", expect_size=\"36308992\"] \n  1 -> 14 [size =\"36308992\"]\n  1 -> 16 [size =\"36308992\"]\n  1 -> 17 [size =\"36308992\"]\n  1 -> 18 [size =\"36308992\"]\n  1 -> 19 [size =\"36308992\"]\n  1 -> 20 [size =\"36308992\"]\n  1 -> 27 [size =\"36308992\"]\n  2 [size=\"125160107\", alpha=\"0.09\", expect_size=\"37548032\"] \n  2 -> 15 [size =\"37548032\"]\n  2 -> 17 [size =\"37548032\"]\n  2 -> 17 [size =\"37548032\"]\n  2 -> 18 [size =\"37548032\"]\n  2 -> 19 [size =\"37548032\"]\n  2 -> 22 [size =\"37548032\"]\n  2 -> 23 [size =\"37548032\"]\n  2 -> 25 [size =\"37548032\"]\n  2 -> 27 [size =\"37548032\"]\n  3 [size=\"98515627\", alpha=\"0.08\", expect_size=\"29554688\"] \n  3 -> 15 [size =\"29554688\"]\n  3 -> 17 [size =\"29554688\"]\n  3 -> 23 [size =\"29554688\"]\n  3 -> 25 [size =\"29554688\"]\n  3 -> 27 [size =\"29554688\"]\n  4 [size=\"66781867\", alpha=\"0.17\", expect_size=\"20034560\"] \n  4 -> 17 [size =\"20034560\"]\n  4 -> 19 [size =\"20034560\"]\n  4 -> 20 [size =\"20034560\"]\n  4 -> 23 [size =\"20034560\"]\n  4 -> 25 [size =\"20034560\"]\n  5 [size=\"139680427\", alpha=\"0.18\", expect_size=\"41904128\"] \n  5 -> 16 [size =\"41904128\"]\n  5 -> 21 [size =\"41904128\"]\n  5 -> 22 [size =\"41904128\"]\n  5 -> 23 [size =\"41904128\"]\n  5 -> 24 [size =\"41904128\"]\n  5 -> 25 [size =\"41904128\"]\n  5 -> 27 [size =\"41904128\"]\n  6 [size=\"76704427\", alpha=\"0.15\", expect_size=\"23011328\"] \n  6 -> 16 [size =\"23011328\"]\n  6 -> 17 [size =\"23011328\"]\n  6 -> 21 [size =\"23011328\"]\n  6 -> 26 [size =\"23011328\"]\n  7 [size=\"66314240\", alpha=\"0.05\", expect_size=\"19894272\"] \n  7 -> 16 [size =\"19894272\"]\n  7 -> 17 [size =\"19894272\"]\n  7 -> 23 [size =\"19894272\"]\n  8 [size=\"144015360\", alpha=\"0.05\", expect_size=\"43204608\"] \n  8 -> 14 [size =\"43204608\"]\n  8 -> 15 [size =\"43204608\"]\n  8 -> 18 [size =\"43204608\"]\n  8 -> 19 [size =\"43204608\"]\n  9 [size=\"158600533\", alpha=\"0.13\", expect_size=\"47580160\"] \n  9 -> 15 [size =\"47580160\"]\n  9 -> 16 [size =\"47580160\"]\n  9 -> 19 [size =\"47580160\"]\n  9 -> 25 [size =\"47580160\"]\n  10 [size=\"35669333\", alpha=\"0.09\", expect_size=\"10700800\"] \n  10 -> 15 [size =\"10700800\"]\n  10 -> 19 [size =\"10700800\"]\n  10 -> 19 [size =\"10700800\"]\n  10 -> 23 [size =\"10700800\"]\n  10 -> 26 [size =\"10700800\"]\n  11 [size=\"34577067\", alpha=\"0.06\", expect_size=\"10373120\"] \n  11 -> 16 [size =\"10373120\"]\n  11 -> 22 [size =\"10373120\"]\n  12 [size=\"111889067\", alpha=\"0.07\", expect_size=\"33566720\"] \n  12 -> 15 [size =\"33566720\"]\n  12 -> 22 [size =\"33566720\"]\n  13 [size=\"27354453\", alpha=\"0.07\", expect_size=\"8206336\"] \n  13 -> 14 [size =\"8206336\"]\n  13 -> 15 [size =\"8206336\"]\n  13 -> 18 [size =\"8206336\"]\n  13 -> 24 [size =\"8206336\"]\n  13 -> 26 [size =\"8206336\"]\n  14 [size=\"86859093\", alpha=\"0.07\", expect_size=\"26057728\"] \n  14 -> 29 [size =\"26057728\"]\n  14 -> 31 [size =\"26057728\"]\n  14 -> 32 [size =\"26057728\"]\n  14 -> 33 [size =\"26057728\"]\n  14 -> 34 [size =\"26057728\"]\n  15 [size=\"60842667\", alpha=\"0.03\", expect_size=\"18252800\"] \n  15 -> 29 [size =\"18252800\"]\n  15 -> 34 [size =\"18252800\"]\n  15 -> 35 [size =\"18252800\"]\n  16 [size=\"43960320\", alpha=\"0.12\", expect_size=\"13188096\"] \n  16 -> 29 [size =\"13188096\"]\n  16 -> 31 [size =\"13188096\"]\n  16 -> 33 [size =\"13188096\"]\n  17 [size=\"161867093\", alpha=\"0.08\", expect_size=\"48560128\"] \n  17 -> 29 [size =\"48560128\"]\n  17 -> 30 [size =\"48560128\"]\n  17 -> 31 [size =\"48560128\"]\n  18 [size=\"41263787\", alpha=\"0.13\", expect_size=\"12379136\"] \n  18 -> 30 [size =\"12379136\"]\n  19 [size=\"77834240\", alpha=\"0.14\", expect_size=\"23350272\"] \n  19 -> 31 [size =\"23350272\"]\n  19 -> 33 [size =\"23350272\"]\n  19 -> 34 [size =\"23350272\"]\n  20 [size=\"22780587\", alpha=\"0.10\", expect_size=\"6834176\"] \n  20 -> 33 [size =\"6834176\"]\n  21 [size=\"96341333\", alpha=\"0.18\", expect_size=\"28902400\"] \n  21 -> 31 [size =\"28902400\"]\n  21 -> 33 [size =\"28902400\"]\n  21 -> 34 [size =\"28902400\"]\n  21 -> 35 [size =\"28902400\"]\n  22 [size=\"145302187\", alpha=\"0.01\", expect_size=\"43590656\"] \n  22 -> 35 [size =\"43590656\"]\n  23 [size=\"45298347\", alpha=\"0.14\", expect_size=\"13589504\"] \n  23 -> 28 [size =\"13589504\"]\n  23 -> 29 [size =\"13589504\"]\n  24 [size=\"99133440\", alpha=\"0.13\", expect_size=\"29740032\"] \n  24 -> 28 [size =\"29740032\"]\n  25 [size=\"156989440\", alpha=\"0.07\", expect_size=\"47096832\"] \n  25 -> 28 [size =\"47096832\"]\n  25 -> 30 [size =\"47096832\"]\n  25 -> 31 [size =\"47096832\"]\n  25 -> 33 [size =\"47096832\"]\n  26 [size=\"23101440\", alpha=\"0.09\", expect_size=\"6930432\"] \n  26 -> 28 [size =\"6930432\"]\n  26 -> 29 [size =\"6930432\"]\n  26 -> 30 [size =\"6930432\"]\n  26 -> 33 [size =\"6930432\"]\n  27 [size=\"116428800\", alpha=\"0.18\", expect_size=\"34928640\"] \n  27 -> 29 [size =\"34928640\"]\n  27 -> 35 [size =\"34928640\"]\n  28 [size=\"21299200\", alpha=\"0.02\", expect_size=\"6389760\"] \n  29 [size=\"120316587\", alpha=\"0.04\", expect_size=\"36094976\"] \n  30 [size=\"74069333\", alpha=\"0.09\", expect_size=\"22220800\"] \n  31 [size=\"150418773\", alpha=\"0.16\", expect_size=\"45125632\"] \n  32 [size=\"138349227\", alpha=\"0.15\", expect_size=\"41504768\"] \n  33 [size=\"145547947\", alpha=\"0.15\", expect_size=\"43664384\"] \n  34 [size=\"95764480\", alpha=\"0.04\", expect_size=\"28729344\"] \n  35 [size=\"38311253\", alpha=\"0.18\", expect_size=\"11493376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23283712\", alpha=\"0.08\", expect_size=\"11641856\"] \n  1 -> 2 [size =\"11641856\"]\n  2 [size=\"84033536\", alpha=\"0.02\", expect_size=\"42016768\"] \n  2 -> 3 [size =\"42016768\"]\n  3 [size=\"83853312\", alpha=\"0.14\", expect_size=\"41926656\"] \n  3 -> 4 [size =\"41926656\"]\n  4 [size=\"48979968\", alpha=\"0.08\", expect_size=\"24489984\"] \n  4 -> 5 [size =\"24489984\"]\n  5 [size=\"15562752\", alpha=\"0.03\", expect_size=\"7781376\"] \n  5 -> 6 [size =\"7781376\"]\n  6 [size=\"88285184\", alpha=\"0.12\", expect_size=\"44142592\"] \n  6 -> 7 [size =\"44142592\"]\n  7 [size=\"60950528\", alpha=\"0.07\", expect_size=\"30475264\"] \n  7 -> 8 [size =\"30475264\"]\n  8 [size=\"79507456\", alpha=\"0.03\", expect_size=\"39753728\"] \n  8 -> 9 [size =\"39753728\"]\n  9 [size=\"57423872\", alpha=\"0.20\", expect_size=\"28711936\"] \n  9 -> 10 [size =\"28711936\"]\n  10 [size=\"75048960\", alpha=\"0.09\", expect_size=\"37524480\"] \n  10 -> 11 [size =\"37524480\"]\n  11 [size=\"73775104\", alpha=\"0.17\", expect_size=\"36887552\"] \n  11 -> 12 [size =\"36887552\"]\n  12 [size=\"16629760\", alpha=\"0.06\", expect_size=\"8314880\"] \n  12 -> 13 [size =\"8314880\"]\n  13 [size=\"24231936\", alpha=\"0.09\", expect_size=\"12115968\"] \n  13 -> 14 [size =\"12115968\"]\n  14 [size=\"90140672\", alpha=\"0.08\", expect_size=\"45070336\"] \n  14 -> 15 [size =\"45070336\"]\n  15 [size=\"33193984\", alpha=\"0.16\", expect_size=\"16596992\"] \n  15 -> 16 [size =\"16596992\"]\n  16 [size=\"48470016\", alpha=\"0.12\", expect_size=\"24235008\"] \n  16 -> 17 [size =\"24235008\"]\n  17 [size=\"103536640\", alpha=\"0.18\", expect_size=\"51768320\"] \n  17 -> 18 [size =\"51768320\"]\n  18 [size=\"42211328\", alpha=\"0.06\", expect_size=\"21105664\"] \n  18 -> 19 [size =\"21105664\"]\n  19 [size=\"55590912\", alpha=\"0.10\", expect_size=\"27795456\"] \n  19 -> 20 [size =\"27795456\"]\n  20 [size=\"54943744\", alpha=\"0.13\", expect_size=\"27471872\"] \n  20 -> 21 [size =\"27471872\"]\n  21 [size=\"96763904\", alpha=\"0.18\", expect_size=\"48381952\"] \n  21 -> 22 [size =\"48381952\"]\n  22 [size=\"80408576\", alpha=\"0.19\", expect_size=\"40204288\"] \n  22 -> 23 [size =\"40204288\"]\n  23 [size=\"12843008\", alpha=\"0.15\", expect_size=\"6421504\"] \n  23 -> 24 [size =\"6421504\"]\n  24 [size=\"54736896\", alpha=\"0.20\", expect_size=\"27368448\"] \n  24 -> 25 [size =\"27368448\"]\n  25 [size=\"94566400\", alpha=\"0.05\", expect_size=\"47283200\"] \n  25 -> 26 [size =\"47283200\"]\n  26 [size=\"77758464\", alpha=\"0.08\", expect_size=\"38879232\"] \n  26 -> 27 [size =\"38879232\"]\n  27 [size=\"41594880\", alpha=\"0.00\", expect_size=\"20797440\"] \n  27 -> 28 [size =\"20797440\"]\n  28 [size=\"31021056\", alpha=\"0.08\", expect_size=\"15510528\"] \n  28 -> 29 [size =\"15510528\"]\n  29 [size=\"60489728\", alpha=\"0.05\", expect_size=\"30244864\"] \n  29 -> 30 [size =\"30244864\"]\n  30 [size=\"14780416\", alpha=\"0.16\", expect_size=\"7390208\"] \n  30 -> 31 [size =\"7390208\"]\n  31 [size=\"75401216\", alpha=\"0.01\", expect_size=\"37700608\"] \n  31 -> 32 [size =\"37700608\"]\n  32 [size=\"66410496\", alpha=\"0.06\", expect_size=\"33205248\"] \n  32 -> 33 [size =\"33205248\"]\n  33 [size=\"61358080\", alpha=\"0.15\", expect_size=\"30679040\"] \n  33 -> 34 [size =\"30679040\"]\n  34 [size=\"39235584\", alpha=\"0.01\", expect_size=\"19617792\"] \n  34 -> 35 [size =\"19617792\"]\n  35 [size=\"38541312\", alpha=\"0.11\", expect_size=\"19270656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25944747\", alpha=\"0.08\", expect_size=\"7783424\"] \n  1 -> 2 [size =\"7783424\"]\n  1 -> 3 [size =\"7783424\"]\n  2 [size=\"77834240\", alpha=\"0.11\", expect_size=\"23350272\"] \n  3 [size=\"72379733\", alpha=\"0.10\", expect_size=\"21713920\"] \n  3 -> 4 [size =\"21713920\"]\n  4 [size=\"162669227\", alpha=\"0.12\", expect_size=\"48800768\"] \n  4 -> 5 [size =\"48800768\"]\n  4 -> 6 [size =\"48800768\"]\n  5 [size=\"40956587\", alpha=\"0.19\", expect_size=\"12286976\"] \n  5 -> 7 [size =\"12286976\"]\n  5 -> 8 [size =\"12286976\"]\n  6 [size=\"42188800\", alpha=\"0.07\", expect_size=\"12656640\"] \n  6 -> 7 [size =\"12656640\"]\n  7 [size=\"155893760\", alpha=\"0.20\", expect_size=\"46768128\"] \n  7 -> 9 [size =\"46768128\"]\n  8 [size=\"155238400\", alpha=\"0.12\", expect_size=\"46571520\"] \n  8 -> 9 [size =\"46571520\"]\n  9 [size=\"167560533\", alpha=\"0.13\", expect_size=\"50268160\"] \n  9 -> 10 [size =\"50268160\"]\n  10 [size=\"104168107\", alpha=\"0.17\", expect_size=\"31250432\"] \n  10 -> 11 [size =\"31250432\"]\n  11 [size=\"46387200\", alpha=\"0.10\", expect_size=\"13916160\"] \n  11 -> 12 [size =\"13916160\"]\n  12 [size=\"113100800\", alpha=\"0.11\", expect_size=\"33930240\"] \n  12 -> 13 [size =\"33930240\"]\n  13 [size=\"43369813\", alpha=\"0.17\", expect_size=\"13010944\"] \n  13 -> 14 [size =\"13010944\"]\n  14 [size=\"120552107\", alpha=\"0.09\", expect_size=\"36165632\"] \n  14 -> 15 [size =\"36165632\"]\n  15 [size=\"59825493\", alpha=\"0.05\", expect_size=\"17947648\"] \n  15 -> 16 [size =\"17947648\"]\n  16 [size=\"53749760\", alpha=\"0.02\", expect_size=\"16124928\"] \n  16 -> 17 [size =\"16124928\"]\n  16 -> 18 [size =\"16124928\"]\n  17 [size=\"112353280\", alpha=\"0.04\", expect_size=\"33705984\"] \n  18 [size=\"109100373\", alpha=\"0.06\", expect_size=\"32730112\"] \n  18 -> 19 [size =\"32730112\"]\n  19 [size=\"49124693\", alpha=\"0.07\", expect_size=\"14737408\"] \n  19 -> 20 [size =\"14737408\"]\n  19 -> 21 [size =\"14737408\"]\n  20 [size=\"148913493\", alpha=\"0.13\", expect_size=\"44674048\"] \n  20 -> 22 [size =\"44674048\"]\n  20 -> 23 [size =\"44674048\"]\n  21 [size=\"124330667\", alpha=\"0.00\", expect_size=\"37299200\"] \n  21 -> 22 [size =\"37299200\"]\n  21 -> 23 [size =\"37299200\"]\n  22 [size=\"46766080\", alpha=\"0.15\", expect_size=\"14029824\"] \n  22 -> 25 [size =\"14029824\"]\n  23 [size=\"136041813\", alpha=\"0.16\", expect_size=\"40812544\"] \n  23 -> 24 [size =\"40812544\"]\n  23 -> 25 [size =\"40812544\"]\n  24 [size=\"109028693\", alpha=\"0.16\", expect_size=\"32708608\"] \n  24 -> 26 [size =\"32708608\"]\n  24 -> 27 [size =\"32708608\"]\n  25 [size=\"23975253\", alpha=\"0.20\", expect_size=\"7192576\"] \n  25 -> 26 [size =\"7192576\"]\n  25 -> 27 [size =\"7192576\"]\n  26 [size=\"66331307\", alpha=\"0.06\", expect_size=\"19899392\"] \n  27 [size=\"81844907\", alpha=\"0.09\", expect_size=\"24553472\"] \n  27 -> 28 [size =\"24553472\"]\n  28 [size=\"116602880\", alpha=\"0.11\", expect_size=\"34980864\"] \n  28 -> 29 [size =\"34980864\"]\n  29 [size=\"161163947\", alpha=\"0.11\", expect_size=\"48349184\"] \n  29 -> 30 [size =\"48349184\"]\n  30 [size=\"62508373\", alpha=\"0.03\", expect_size=\"18752512\"] \n  30 -> 31 [size =\"18752512\"]\n  30 -> 32 [size =\"18752512\"]\n  31 [size=\"167178240\", alpha=\"0.18\", expect_size=\"50153472\"] \n  31 -> 33 [size =\"50153472\"]\n  32 [size=\"169065813\", alpha=\"0.05\", expect_size=\"50719744\"] \n  33 [size=\"128532480\", alpha=\"0.15\", expect_size=\"38559744\"] \n  33 -> 34 [size =\"38559744\"]\n  34 [size=\"100485120\", alpha=\"0.19\", expect_size=\"30145536\"] \n  34 -> 35 [size =\"30145536\"]\n  35 [size=\"72830293\", alpha=\"0.08\", expect_size=\"21849088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99442688\", alpha=\"0.02\", expect_size=\"49721344\"] \n  1 -> 2 [size =\"49721344\"]\n  1 -> 3 [size =\"49721344\"]\n  2 [size=\"102041600\", alpha=\"0.12\", expect_size=\"51020800\"] \n  2 -> 4 [size =\"51020800\"]\n  2 -> 5 [size =\"51020800\"]\n  3 [size=\"11220992\", alpha=\"0.19\", expect_size=\"5610496\"] \n  3 -> 4 [size =\"5610496\"]\n  4 [size=\"85880832\", alpha=\"0.11\", expect_size=\"42940416\"] \n  4 -> 6 [size =\"42940416\"]\n  4 -> 7 [size =\"42940416\"]\n  5 [size=\"80390144\", alpha=\"0.08\", expect_size=\"40195072\"] \n  6 [size=\"15851520\", alpha=\"0.08\", expect_size=\"7925760\"] \n  6 -> 8 [size =\"7925760\"]\n  7 [size=\"65574912\", alpha=\"0.12\", expect_size=\"32787456\"] \n  7 -> 9 [size =\"32787456\"]\n  8 [size=\"49240064\", alpha=\"0.03\", expect_size=\"24620032\"] \n  9 [size=\"83204096\", alpha=\"0.14\", expect_size=\"41602048\"] \n  9 -> 10 [size =\"41602048\"]\n  10 [size=\"26908672\", alpha=\"0.16\", expect_size=\"13454336\"] \n  10 -> 11 [size =\"13454336\"]\n  10 -> 12 [size =\"13454336\"]\n  11 [size=\"27357184\", alpha=\"0.19\", expect_size=\"13678592\"] \n  12 [size=\"36251648\", alpha=\"0.01\", expect_size=\"18125824\"] \n  12 -> 13 [size =\"18125824\"]\n  13 [size=\"94126080\", alpha=\"0.07\", expect_size=\"47063040\"] \n  13 -> 14 [size =\"47063040\"]\n  14 [size=\"90697728\", alpha=\"0.09\", expect_size=\"45348864\"] \n  14 -> 15 [size =\"45348864\"]\n  15 [size=\"47222784\", alpha=\"0.17\", expect_size=\"23611392\"] \n  15 -> 16 [size =\"23611392\"]\n  15 -> 17 [size =\"23611392\"]\n  16 [size=\"83658752\", alpha=\"0.11\", expect_size=\"41829376\"] \n  16 -> 19 [size =\"41829376\"]\n  17 [size=\"27475968\", alpha=\"0.02\", expect_size=\"13737984\"] \n  17 -> 18 [size =\"13737984\"]\n  17 -> 19 [size =\"13737984\"]\n  18 [size=\"86028288\", alpha=\"0.08\", expect_size=\"43014144\"] \n  18 -> 20 [size =\"43014144\"]\n  19 [size=\"100048896\", alpha=\"0.04\", expect_size=\"50024448\"] \n  19 -> 20 [size =\"50024448\"]\n  20 [size=\"69537792\", alpha=\"0.13\", expect_size=\"34768896\"] \n  20 -> 21 [size =\"34768896\"]\n  20 -> 22 [size =\"34768896\"]\n  21 [size=\"50978816\", alpha=\"0.01\", expect_size=\"25489408\"] \n  21 -> 23 [size =\"25489408\"]\n  21 -> 24 [size =\"25489408\"]\n  22 [size=\"48553984\", alpha=\"0.08\", expect_size=\"24276992\"] \n  22 -> 23 [size =\"24276992\"]\n  22 -> 24 [size =\"24276992\"]\n  23 [size=\"51468288\", alpha=\"0.15\", expect_size=\"25734144\"] \n  23 -> 26 [size =\"25734144\"]\n  24 [size=\"82214912\", alpha=\"0.19\", expect_size=\"41107456\"] \n  24 -> 25 [size =\"41107456\"]\n  24 -> 26 [size =\"41107456\"]\n  25 [size=\"27994112\", alpha=\"0.17\", expect_size=\"13997056\"] \n  25 -> 27 [size =\"13997056\"]\n  26 [size=\"12552192\", alpha=\"0.16\", expect_size=\"6276096\"] \n  26 -> 27 [size =\"6276096\"]\n  27 [size=\"63170560\", alpha=\"0.07\", expect_size=\"31585280\"] \n  27 -> 28 [size =\"31585280\"]\n  28 [size=\"70551552\", alpha=\"0.07\", expect_size=\"35275776\"] \n  28 -> 29 [size =\"35275776\"]\n  28 -> 30 [size =\"35275776\"]\n  29 [size=\"13420544\", alpha=\"0.01\", expect_size=\"6710272\"] \n  29 -> 31 [size =\"6710272\"]\n  30 [size=\"30179328\", alpha=\"0.20\", expect_size=\"15089664\"] \n  30 -> 31 [size =\"15089664\"]\n  31 [size=\"89638912\", alpha=\"0.01\", expect_size=\"44819456\"] \n  31 -> 32 [size =\"44819456\"]\n  31 -> 33 [size =\"44819456\"]\n  32 [size=\"92014592\", alpha=\"0.09\", expect_size=\"46007296\"] \n  32 -> 34 [size =\"46007296\"]\n  33 [size=\"34490368\", alpha=\"0.13\", expect_size=\"17245184\"] \n  33 -> 34 [size =\"17245184\"]\n  34 [size=\"12177408\", alpha=\"0.15\", expect_size=\"6088704\"] \n  34 -> 35 [size =\"6088704\"]\n  35 [size=\"100468736\", alpha=\"0.05\", expect_size=\"50234368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18391040\", alpha=\"0.13\", expect_size=\"7356416\"] \n  1 -> 2 [size =\"7356416\"]\n  2 [size=\"124789760\", alpha=\"0.16\", expect_size=\"49915904\"] \n  2 -> 3 [size =\"49915904\"]\n  3 [size=\"70609920\", alpha=\"0.17\", expect_size=\"28243968\"] \n  3 -> 4 [size =\"28243968\"]\n  4 [size=\"120668160\", alpha=\"0.15\", expect_size=\"48267264\"] \n  4 -> 5 [size =\"48267264\"]\n  5 [size=\"28160000\", alpha=\"0.04\", expect_size=\"11264000\"] \n  5 -> 6 [size =\"11264000\"]\n  6 [size=\"112916480\", alpha=\"0.08\", expect_size=\"45166592\"] \n  6 -> 7 [size =\"45166592\"]\n  7 [size=\"101135360\", alpha=\"0.11\", expect_size=\"40454144\"] \n  7 -> 8 [size =\"40454144\"]\n  8 [size=\"105950720\", alpha=\"0.09\", expect_size=\"42380288\"] \n  8 -> 9 [size =\"42380288\"]\n  9 [size=\"80491520\", alpha=\"0.20\", expect_size=\"32196608\"] \n  9 -> 10 [size =\"32196608\"]\n  10 [size=\"62668800\", alpha=\"0.18\", expect_size=\"25067520\"] \n  10 -> 11 [size =\"25067520\"]\n  11 [size=\"69982720\", alpha=\"0.12\", expect_size=\"27993088\"] \n  11 -> 12 [size =\"27993088\"]\n  12 [size=\"26060800\", alpha=\"0.13\", expect_size=\"10424320\"] \n  12 -> 13 [size =\"10424320\"]\n  13 [size=\"121848320\", alpha=\"0.18\", expect_size=\"48739328\"] \n  13 -> 14 [size =\"48739328\"]\n  14 [size=\"101365760\", alpha=\"0.08\", expect_size=\"40546304\"] \n  14 -> 15 [size =\"40546304\"]\n  15 [size=\"74137600\", alpha=\"0.08\", expect_size=\"29655040\"] \n  15 -> 16 [size =\"29655040\"]\n  16 [size=\"95211520\", alpha=\"0.13\", expect_size=\"38084608\"] \n  16 -> 17 [size =\"38084608\"]\n  17 [size=\"25382400\", alpha=\"0.03\", expect_size=\"10152960\"] \n  17 -> 18 [size =\"10152960\"]\n  18 [size=\"88102400\", alpha=\"0.10\", expect_size=\"35240960\"] \n  18 -> 19 [size =\"35240960\"]\n  19 [size=\"25794560\", alpha=\"0.09\", expect_size=\"10317824\"] \n  19 -> 20 [size =\"10317824\"]\n  20 [size=\"24629760\", alpha=\"0.14\", expect_size=\"9851904\"] \n  20 -> 21 [size =\"9851904\"]\n  21 [size=\"14832640\", alpha=\"0.19\", expect_size=\"5933056\"] \n  21 -> 22 [size =\"5933056\"]\n  22 [size=\"84994560\", alpha=\"0.03\", expect_size=\"33997824\"] \n  22 -> 23 [size =\"33997824\"]\n  23 [size=\"46100480\", alpha=\"0.17\", expect_size=\"18440192\"] \n  23 -> 24 [size =\"18440192\"]\n  24 [size=\"35304960\", alpha=\"0.09\", expect_size=\"14121984\"] \n  24 -> 25 [size =\"14121984\"]\n  25 [size=\"82585600\", alpha=\"0.03\", expect_size=\"33034240\"] \n  25 -> 26 [size =\"33034240\"]\n  26 [size=\"127828480\", alpha=\"0.15\", expect_size=\"51131392\"] \n  26 -> 27 [size =\"51131392\"]\n  27 [size=\"89451520\", alpha=\"0.01\", expect_size=\"35780608\"] \n  27 -> 28 [size =\"35780608\"]\n  28 [size=\"106365440\", alpha=\"0.03\", expect_size=\"42546176\"] \n  28 -> 29 [size =\"42546176\"]\n  29 [size=\"46507520\", alpha=\"0.17\", expect_size=\"18603008\"] \n  29 -> 30 [size =\"18603008\"]\n  30 [size=\"101450240\", alpha=\"0.19\", expect_size=\"40580096\"] \n  30 -> 31 [size =\"40580096\"]\n  31 [size=\"63388160\", alpha=\"0.11\", expect_size=\"25355264\"] \n  31 -> 32 [size =\"25355264\"]\n  32 [size=\"55569920\", alpha=\"0.05\", expect_size=\"22227968\"] \n  32 -> 33 [size =\"22227968\"]\n  33 [size=\"71718400\", alpha=\"0.17\", expect_size=\"28687360\"] \n  33 -> 34 [size =\"28687360\"]\n  34 [size=\"51368960\", alpha=\"0.04\", expect_size=\"20547584\"] \n  34 -> 35 [size =\"20547584\"]\n  35 [size=\"102085120\", alpha=\"0.02\", expect_size=\"40834048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91080704\", alpha=\"0.04\", expect_size=\"45540352\"] \n  1 -> 13 [size =\"45540352\"]\n  1 -> 14 [size =\"45540352\"]\n  1 -> 18 [size =\"45540352\"]\n  1 -> 19 [size =\"45540352\"]\n  1 -> 23 [size =\"45540352\"]\n  2 [size=\"84893696\", alpha=\"0.10\", expect_size=\"42446848\"] \n  2 -> 14 [size =\"42446848\"]\n  2 -> 22 [size =\"42446848\"]\n  3 [size=\"91125760\", alpha=\"0.10\", expect_size=\"45562880\"] \n  3 -> 14 [size =\"45562880\"]\n  3 -> 18 [size =\"45562880\"]\n  3 -> 21 [size =\"45562880\"]\n  4 [size=\"87666688\", alpha=\"0.15\", expect_size=\"43833344\"] \n  4 -> 13 [size =\"43833344\"]\n  4 -> 14 [size =\"43833344\"]\n  4 -> 16 [size =\"43833344\"]\n  4 -> 19 [size =\"43833344\"]\n  4 -> 22 [size =\"43833344\"]\n  4 -> 23 [size =\"43833344\"]\n  4 -> 24 [size =\"43833344\"]\n  5 [size=\"91934720\", alpha=\"0.00\", expect_size=\"45967360\"] \n  5 -> 12 [size =\"45967360\"]\n  5 -> 15 [size =\"45967360\"]\n  5 -> 20 [size =\"45967360\"]\n  5 -> 22 [size =\"45967360\"]\n  5 -> 23 [size =\"45967360\"]\n  6 [size=\"38526976\", alpha=\"0.09\", expect_size=\"19263488\"] \n  6 -> 12 [size =\"19263488\"]\n  6 -> 20 [size =\"19263488\"]\n  6 -> 21 [size =\"19263488\"]\n  6 -> 22 [size =\"19263488\"]\n  6 -> 24 [size =\"19263488\"]\n  7 [size=\"89696256\", alpha=\"0.19\", expect_size=\"44848128\"] \n  7 -> 12 [size =\"44848128\"]\n  7 -> 13 [size =\"44848128\"]\n  7 -> 14 [size =\"44848128\"]\n  7 -> 19 [size =\"44848128\"]\n  7 -> 22 [size =\"44848128\"]\n  8 [size=\"18477056\", alpha=\"0.16\", expect_size=\"9238528\"] \n  8 -> 12 [size =\"9238528\"]\n  8 -> 13 [size =\"9238528\"]\n  8 -> 14 [size =\"9238528\"]\n  8 -> 17 [size =\"9238528\"]\n  8 -> 19 [size =\"9238528\"]\n  8 -> 22 [size =\"9238528\"]\n  8 -> 23 [size =\"9238528\"]\n  9 [size=\"41953280\", alpha=\"0.05\", expect_size=\"20976640\"] \n  9 -> 13 [size =\"20976640\"]\n  9 -> 14 [size =\"20976640\"]\n  9 -> 19 [size =\"20976640\"]\n  9 -> 22 [size =\"20976640\"]\n  9 -> 23 [size =\"20976640\"]\n  10 [size=\"34390016\", alpha=\"0.04\", expect_size=\"17195008\"] \n  10 -> 15 [size =\"17195008\"]\n  10 -> 18 [size =\"17195008\"]\n  10 -> 19 [size =\"17195008\"]\n  10 -> 21 [size =\"17195008\"]\n  10 -> 23 [size =\"17195008\"]\n  11 [size=\"82948096\", alpha=\"0.18\", expect_size=\"41474048\"] \n  11 -> 12 [size =\"41474048\"]\n  11 -> 13 [size =\"41474048\"]\n  11 -> 18 [size =\"41474048\"]\n  11 -> 19 [size =\"41474048\"]\n  11 -> 20 [size =\"41474048\"]\n  11 -> 21 [size =\"41474048\"]\n  11 -> 23 [size =\"41474048\"]\n  11 -> 24 [size =\"41474048\"]\n  12 [size=\"101230592\", alpha=\"0.07\", expect_size=\"50615296\"] \n  12 -> 25 [size =\"50615296\"]\n  12 -> 27 [size =\"50615296\"]\n  12 -> 29 [size =\"50615296\"]\n  12 -> 31 [size =\"50615296\"]\n  12 -> 32 [size =\"50615296\"]\n  13 [size=\"54996992\", alpha=\"0.09\", expect_size=\"27498496\"] \n  13 -> 25 [size =\"27498496\"]\n  13 -> 27 [size =\"27498496\"]\n  13 -> 29 [size =\"27498496\"]\n  13 -> 30 [size =\"27498496\"]\n  13 -> 31 [size =\"27498496\"]\n  13 -> 32 [size =\"27498496\"]\n  14 [size=\"101085184\", alpha=\"0.19\", expect_size=\"50542592\"] \n  14 -> 25 [size =\"50542592\"]\n  14 -> 27 [size =\"50542592\"]\n  14 -> 28 [size =\"50542592\"]\n  14 -> 30 [size =\"50542592\"]\n  14 -> 32 [size =\"50542592\"]\n  14 -> 33 [size =\"50542592\"]\n  14 -> 35 [size =\"50542592\"]\n  15 [size=\"76533760\", alpha=\"0.11\", expect_size=\"38266880\"] \n  15 -> 25 [size =\"38266880\"]\n  15 -> 27 [size =\"38266880\"]\n  15 -> 28 [size =\"38266880\"]\n  15 -> 32 [size =\"38266880\"]\n  15 -> 33 [size =\"38266880\"]\n  15 -> 33 [size =\"38266880\"]\n  15 -> 34 [size =\"38266880\"]\n  16 [size=\"78626816\", alpha=\"0.12\", expect_size=\"39313408\"] \n  16 -> 26 [size =\"39313408\"]\n  16 -> 31 [size =\"39313408\"]\n  16 -> 32 [size =\"39313408\"]\n  17 [size=\"27412480\", alpha=\"0.08\", expect_size=\"13706240\"] \n  17 -> 29 [size =\"13706240\"]\n  17 -> 30 [size =\"13706240\"]\n  17 -> 32 [size =\"13706240\"]\n  18 [size=\"20340736\", alpha=\"0.18\", expect_size=\"10170368\"] \n  18 -> 26 [size =\"10170368\"]\n  18 -> 28 [size =\"10170368\"]\n  18 -> 30 [size =\"10170368\"]\n  18 -> 31 [size =\"10170368\"]\n  18 -> 32 [size =\"10170368\"]\n  18 -> 35 [size =\"10170368\"]\n  19 [size=\"96466944\", alpha=\"0.08\", expect_size=\"48233472\"] \n  19 -> 26 [size =\"48233472\"]\n  19 -> 28 [size =\"48233472\"]\n  19 -> 29 [size =\"48233472\"]\n  19 -> 31 [size =\"48233472\"]\n  19 -> 32 [size =\"48233472\"]\n  19 -> 33 [size =\"48233472\"]\n  20 [size=\"26619904\", alpha=\"0.03\", expect_size=\"13309952\"] \n  20 -> 26 [size =\"13309952\"]\n  20 -> 28 [size =\"13309952\"]\n  20 -> 29 [size =\"13309952\"]\n  20 -> 30 [size =\"13309952\"]\n  20 -> 31 [size =\"13309952\"]\n  20 -> 33 [size =\"13309952\"]\n  21 [size=\"45717504\", alpha=\"0.15\", expect_size=\"22858752\"] \n  21 -> 25 [size =\"22858752\"]\n  21 -> 26 [size =\"22858752\"]\n  21 -> 28 [size =\"22858752\"]\n  21 -> 29 [size =\"22858752\"]\n  21 -> 30 [size =\"22858752\"]\n  21 -> 31 [size =\"22858752\"]\n  21 -> 33 [size =\"22858752\"]\n  21 -> 35 [size =\"22858752\"]\n  22 [size=\"34304000\", alpha=\"0.03\", expect_size=\"17152000\"] \n  22 -> 25 [size =\"17152000\"]\n  22 -> 27 [size =\"17152000\"]\n  22 -> 28 [size =\"17152000\"]\n  22 -> 29 [size =\"17152000\"]\n  22 -> 30 [size =\"17152000\"]\n  22 -> 31 [size =\"17152000\"]\n  22 -> 33 [size =\"17152000\"]\n  23 [size=\"69568512\", alpha=\"0.08\", expect_size=\"34784256\"] \n  23 -> 25 [size =\"34784256\"]\n  23 -> 27 [size =\"34784256\"]\n  23 -> 28 [size =\"34784256\"]\n  23 -> 29 [size =\"34784256\"]\n  23 -> 33 [size =\"34784256\"]\n  24 [size=\"16377856\", alpha=\"0.10\", expect_size=\"8188928\"] \n  24 -> 25 [size =\"8188928\"]\n  24 -> 28 [size =\"8188928\"]\n  24 -> 29 [size =\"8188928\"]\n  24 -> 29 [size =\"8188928\"]\n  24 -> 30 [size =\"8188928\"]\n  24 -> 31 [size =\"8188928\"]\n  24 -> 32 [size =\"8188928\"]\n  24 -> 33 [size =\"8188928\"]\n  25 [size=\"13338624\", alpha=\"0.08\", expect_size=\"6669312\"] \n  26 [size=\"65323008\", alpha=\"0.13\", expect_size=\"32661504\"] \n  27 [size=\"27353088\", alpha=\"0.15\", expect_size=\"13676544\"] \n  28 [size=\"65921024\", alpha=\"0.18\", expect_size=\"32960512\"] \n  29 [size=\"57810944\", alpha=\"0.08\", expect_size=\"28905472\"] \n  30 [size=\"94611456\", alpha=\"0.02\", expect_size=\"47305728\"] \n  31 [size=\"14209024\", alpha=\"0.13\", expect_size=\"7104512\"] \n  32 [size=\"85942272\", alpha=\"0.02\", expect_size=\"42971136\"] \n  33 [size=\"101105664\", alpha=\"0.01\", expect_size=\"50552832\"] \n  34 [size=\"45969408\", alpha=\"0.19\", expect_size=\"22984704\"] \n  35 [size=\"92084224\", alpha=\"0.11\", expect_size=\"46042112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29061120\", alpha=\"0.03\", expect_size=\"11624448\"] \n  1 -> 5 [size =\"11624448\"]\n  1 -> 6 [size =\"11624448\"]\n  1 -> 8 [size =\"11624448\"]\n  1 -> 8 [size =\"11624448\"]\n  2 [size=\"23321600\", alpha=\"0.02\", expect_size=\"9328640\"] \n  2 -> 5 [size =\"9328640\"]\n  3 [size=\"16040960\", alpha=\"0.12\", expect_size=\"6416384\"] \n  3 -> 5 [size =\"6416384\"]\n  3 -> 6 [size =\"6416384\"]\n  3 -> 8 [size =\"6416384\"]\n  4 [size=\"129589760\", alpha=\"0.04\", expect_size=\"51835904\"] \n  4 -> 5 [size =\"51835904\"]\n  4 -> 6 [size =\"51835904\"]\n  4 -> 7 [size =\"51835904\"]\n  4 -> 8 [size =\"51835904\"]\n  5 [size=\"21383680\", alpha=\"0.09\", expect_size=\"8553472\"] \n  5 -> 12 [size =\"8553472\"]\n  6 [size=\"62940160\", alpha=\"0.09\", expect_size=\"25176064\"] \n  6 -> 11 [size =\"25176064\"]\n  6 -> 12 [size =\"25176064\"]\n  7 [size=\"115048960\", alpha=\"0.14\", expect_size=\"46019584\"] \n  7 -> 9 [size =\"46019584\"]\n  8 [size=\"25364480\", alpha=\"0.20\", expect_size=\"10145792\"] \n  8 -> 10 [size =\"10145792\"]\n  8 -> 11 [size =\"10145792\"]\n  8 -> 12 [size =\"10145792\"]\n  9 [size=\"26321920\", alpha=\"0.03\", expect_size=\"10528768\"] \n  9 -> 15 [size =\"10528768\"]\n  9 -> 16 [size =\"10528768\"]\n  10 [size=\"119531520\", alpha=\"0.18\", expect_size=\"47812608\"] \n  10 -> 13 [size =\"47812608\"]\n  10 -> 15 [size =\"47812608\"]\n  11 [size=\"130306560\", alpha=\"0.13\", expect_size=\"52122624\"] \n  11 -> 13 [size =\"52122624\"]\n  11 -> 14 [size =\"52122624\"]\n  11 -> 15 [size =\"52122624\"]\n  11 -> 16 [size =\"52122624\"]\n  12 [size=\"27957760\", alpha=\"0.09\", expect_size=\"11183104\"] \n  12 -> 13 [size =\"11183104\"]\n  12 -> 15 [size =\"11183104\"]\n  12 -> 16 [size =\"11183104\"]\n  12 -> 16 [size =\"11183104\"]\n  13 [size=\"37109760\", alpha=\"0.18\", expect_size=\"14843904\"] \n  13 -> 17 [size =\"14843904\"]\n  13 -> 19 [size =\"14843904\"]\n  13 -> 20 [size =\"14843904\"]\n  14 [size=\"109777920\", alpha=\"0.09\", expect_size=\"43911168\"] \n  14 -> 17 [size =\"43911168\"]\n  14 -> 18 [size =\"43911168\"]\n  14 -> 19 [size =\"43911168\"]\n  14 -> 20 [size =\"43911168\"]\n  14 -> 21 [size =\"43911168\"]\n  15 [size=\"14799360\", alpha=\"0.13\", expect_size=\"5919744\"] \n  15 -> 17 [size =\"5919744\"]\n  15 -> 18 [size =\"5919744\"]\n  15 -> 19 [size =\"5919744\"]\n  15 -> 20 [size =\"5919744\"]\n  16 [size=\"66513920\", alpha=\"0.18\", expect_size=\"26605568\"] \n  16 -> 17 [size =\"26605568\"]\n  16 -> 18 [size =\"26605568\"]\n  16 -> 20 [size =\"26605568\"]\n  17 [size=\"119057920\", alpha=\"0.17\", expect_size=\"47623168\"] \n  17 -> 22 [size =\"47623168\"]\n  17 -> 26 [size =\"47623168\"]\n  18 [size=\"85921280\", alpha=\"0.17\", expect_size=\"34368512\"] \n  18 -> 22 [size =\"34368512\"]\n  18 -> 23 [size =\"34368512\"]\n  18 -> 24 [size =\"34368512\"]\n  18 -> 25 [size =\"34368512\"]\n  18 -> 26 [size =\"34368512\"]\n  19 [size=\"83304960\", alpha=\"0.06\", expect_size=\"33321984\"] \n  19 -> 22 [size =\"33321984\"]\n  19 -> 25 [size =\"33321984\"]\n  19 -> 26 [size =\"33321984\"]\n  20 [size=\"103774720\", alpha=\"0.15\", expect_size=\"41509888\"] \n  20 -> 22 [size =\"41509888\"]\n  20 -> 25 [size =\"41509888\"]\n  20 -> 26 [size =\"41509888\"]\n  21 [size=\"93488640\", alpha=\"0.06\", expect_size=\"37395456\"] \n  21 -> 23 [size =\"37395456\"]\n  21 -> 24 [size =\"37395456\"]\n  21 -> 26 [size =\"37395456\"]\n  22 [size=\"51937280\", alpha=\"0.20\", expect_size=\"20774912\"] \n  22 -> 27 [size =\"20774912\"]\n  22 -> 28 [size =\"20774912\"]\n  22 -> 31 [size =\"20774912\"]\n  23 [size=\"107095040\", alpha=\"0.13\", expect_size=\"42838016\"] \n  23 -> 27 [size =\"42838016\"]\n  23 -> 28 [size =\"42838016\"]\n  23 -> 31 [size =\"42838016\"]\n  24 [size=\"92364800\", alpha=\"0.06\", expect_size=\"36945920\"] \n  24 -> 27 [size =\"36945920\"]\n  24 -> 31 [size =\"36945920\"]\n  25 [size=\"25013760\", alpha=\"0.01\", expect_size=\"10005504\"] \n  25 -> 29 [size =\"10005504\"]\n  25 -> 31 [size =\"10005504\"]\n  26 [size=\"103385600\", alpha=\"0.04\", expect_size=\"41354240\"] \n  26 -> 27 [size =\"41354240\"]\n  26 -> 30 [size =\"41354240\"]\n  26 -> 31 [size =\"41354240\"]\n  27 [size=\"91499520\", alpha=\"0.05\", expect_size=\"36599808\"] \n  27 -> 32 [size =\"36599808\"]\n  27 -> 33 [size =\"36599808\"]\n  27 -> 35 [size =\"36599808\"]\n  28 [size=\"70919680\", alpha=\"0.07\", expect_size=\"28367872\"] \n  28 -> 33 [size =\"28367872\"]\n  29 [size=\"51384320\", alpha=\"0.12\", expect_size=\"20553728\"] \n  29 -> 32 [size =\"20553728\"]\n  30 [size=\"89674240\", alpha=\"0.15\", expect_size=\"35869696\"] \n  30 -> 32 [size =\"35869696\"]\n  30 -> 33 [size =\"35869696\"]\n  30 -> 34 [size =\"35869696\"]\n  30 -> 35 [size =\"35869696\"]\n  31 [size=\"60976640\", alpha=\"0.18\", expect_size=\"24390656\"] \n  31 -> 32 [size =\"24390656\"]\n  31 -> 35 [size =\"24390656\"]\n  32 [size=\"99217920\", alpha=\"0.03\", expect_size=\"39687168\"] \n  33 [size=\"96647680\", alpha=\"0.12\", expect_size=\"38659072\"] \n  34 [size=\"56197120\", alpha=\"0.18\", expect_size=\"22478848\"] \n  35 [size=\"94356480\", alpha=\"0.04\", expect_size=\"37742592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37662720\", alpha=\"0.12\", expect_size=\"11298816\"] \n  2 [size=\"146578773\", alpha=\"0.03\", expect_size=\"43973632\"] \n  2 -> 6 [size =\"43973632\"]\n  2 -> 8 [size =\"43973632\"]\n  3 [size=\"54176427\", alpha=\"0.09\", expect_size=\"16252928\"] \n  3 -> 8 [size =\"16252928\"]\n  4 [size=\"106035200\", alpha=\"0.18\", expect_size=\"31810560\"] \n  4 -> 6 [size =\"31810560\"]\n  4 -> 8 [size =\"31810560\"]\n  5 [size=\"114483200\", alpha=\"0.15\", expect_size=\"34344960\"] \n  5 -> 7 [size =\"34344960\"]\n  5 -> 9 [size =\"34344960\"]\n  6 [size=\"125207893\", alpha=\"0.10\", expect_size=\"37562368\"] \n  6 -> 11 [size =\"37562368\"]\n  6 -> 13 [size =\"37562368\"]\n  7 [size=\"56384853\", alpha=\"0.04\", expect_size=\"16915456\"] \n  8 [size=\"161085440\", alpha=\"0.14\", expect_size=\"48325632\"] \n  8 -> 11 [size =\"48325632\"]\n  8 -> 12 [size =\"48325632\"]\n  9 [size=\"46861653\", alpha=\"0.04\", expect_size=\"14058496\"] \n  9 -> 10 [size =\"14058496\"]\n  9 -> 12 [size =\"14058496\"]\n  9 -> 14 [size =\"14058496\"]\n  10 [size=\"133533013\", alpha=\"0.14\", expect_size=\"40059904\"] \n  11 [size=\"69406720\", alpha=\"0.05\", expect_size=\"20822016\"] \n  11 -> 16 [size =\"20822016\"]\n  11 -> 18 [size =\"20822016\"]\n  12 [size=\"162341547\", alpha=\"0.18\", expect_size=\"48702464\"] \n  12 -> 15 [size =\"48702464\"]\n  12 -> 18 [size =\"48702464\"]\n  12 -> 19 [size =\"48702464\"]\n  13 [size=\"28043947\", alpha=\"0.03\", expect_size=\"8413184\"] \n  13 -> 17 [size =\"8413184\"]\n  13 -> 19 [size =\"8413184\"]\n  14 [size=\"100369067\", alpha=\"0.17\", expect_size=\"30110720\"] \n  14 -> 16 [size =\"30110720\"]\n  14 -> 18 [size =\"30110720\"]\n  14 -> 19 [size =\"30110720\"]\n  15 [size=\"82575360\", alpha=\"0.17\", expect_size=\"24772608\"] \n  15 -> 24 [size =\"24772608\"]\n  16 [size=\"41127253\", alpha=\"0.18\", expect_size=\"12338176\"] \n  16 -> 20 [size =\"12338176\"]\n  17 [size=\"117858987\", alpha=\"0.03\", expect_size=\"35357696\"] \n  17 -> 20 [size =\"35357696\"]\n  17 -> 21 [size =\"35357696\"]\n  18 [size=\"147684693\", alpha=\"0.03\", expect_size=\"44305408\"] \n  18 -> 21 [size =\"44305408\"]\n  18 -> 22 [size =\"44305408\"]\n  18 -> 23 [size =\"44305408\"]\n  19 [size=\"99590827\", alpha=\"0.16\", expect_size=\"29877248\"] \n  20 [size=\"130290347\", alpha=\"0.12\", expect_size=\"39087104\"] \n  20 -> 26 [size =\"39087104\"]\n  21 [size=\"85251413\", alpha=\"0.10\", expect_size=\"25575424\"] \n  21 -> 25 [size =\"25575424\"]\n  22 [size=\"124081493\", alpha=\"0.05\", expect_size=\"37224448\"] \n  22 -> 25 [size =\"37224448\"]\n  22 -> 27 [size =\"37224448\"]\n  23 [size=\"104963413\", alpha=\"0.04\", expect_size=\"31489024\"] \n  24 [size=\"132311040\", alpha=\"0.14\", expect_size=\"39693312\"] \n  24 -> 27 [size =\"39693312\"]\n  25 [size=\"112322560\", alpha=\"0.17\", expect_size=\"33696768\"] \n  25 -> 29 [size =\"33696768\"]\n  26 [size=\"87005867\", alpha=\"0.14\", expect_size=\"26101760\"] \n  26 -> 30 [size =\"26101760\"]\n  26 -> 31 [size =\"26101760\"]\n  27 [size=\"71976960\", alpha=\"0.15\", expect_size=\"21593088\"] \n  27 -> 28 [size =\"21593088\"]\n  27 -> 29 [size =\"21593088\"]\n  27 -> 32 [size =\"21593088\"]\n  28 [size=\"96242347\", alpha=\"0.15\", expect_size=\"28872704\"] \n  28 -> 33 [size =\"28872704\"]\n  29 [size=\"122890240\", alpha=\"0.19\", expect_size=\"36867072\"] \n  29 -> 35 [size =\"36867072\"]\n  30 [size=\"92945067\", alpha=\"0.17\", expect_size=\"27883520\"] \n  30 -> 33 [size =\"27883520\"]\n  30 -> 34 [size =\"27883520\"]\n  31 [size=\"28665173\", alpha=\"0.02\", expect_size=\"8599552\"] \n  31 -> 34 [size =\"8599552\"]\n  31 -> 35 [size =\"8599552\"]\n  32 [size=\"107523413\", alpha=\"0.05\", expect_size=\"32257024\"] \n  32 -> 35 [size =\"32257024\"]\n  33 [size=\"144052907\", alpha=\"0.10\", expect_size=\"43215872\"] \n  34 [size=\"17667413\", alpha=\"0.05\", expect_size=\"5300224\"] \n  35 [size=\"131505493\", alpha=\"0.09\", expect_size=\"39451648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70529024\", alpha=\"0.02\", expect_size=\"35264512\"] \n  1 -> 15 [size =\"35264512\"]\n  1 -> 15 [size =\"35264512\"]\n  1 -> 19 [size =\"35264512\"]\n  1 -> 22 [size =\"35264512\"]\n  1 -> 24 [size =\"35264512\"]\n  1 -> 25 [size =\"35264512\"]\n  2 [size=\"32620544\", alpha=\"0.15\", expect_size=\"16310272\"] \n  2 -> 15 [size =\"16310272\"]\n  2 -> 19 [size =\"16310272\"]\n  2 -> 20 [size =\"16310272\"]\n  3 [size=\"76113920\", alpha=\"0.13\", expect_size=\"38056960\"] \n  3 -> 14 [size =\"38056960\"]\n  3 -> 15 [size =\"38056960\"]\n  3 -> 19 [size =\"38056960\"]\n  3 -> 23 [size =\"38056960\"]\n  3 -> 24 [size =\"38056960\"]\n  4 [size=\"97839104\", alpha=\"0.04\", expect_size=\"48919552\"] \n  4 -> 15 [size =\"48919552\"]\n  4 -> 16 [size =\"48919552\"]\n  4 -> 19 [size =\"48919552\"]\n  4 -> 23 [size =\"48919552\"]\n  4 -> 24 [size =\"48919552\"]\n  5 [size=\"76972032\", alpha=\"0.02\", expect_size=\"38486016\"] \n  5 -> 17 [size =\"38486016\"]\n  5 -> 18 [size =\"38486016\"]\n  5 -> 24 [size =\"38486016\"]\n  5 -> 25 [size =\"38486016\"]\n  6 [size=\"17424384\", alpha=\"0.15\", expect_size=\"8712192\"] \n  6 -> 17 [size =\"8712192\"]\n  6 -> 20 [size =\"8712192\"]\n  6 -> 22 [size =\"8712192\"]\n  7 [size=\"16197632\", alpha=\"0.08\", expect_size=\"8098816\"] \n  7 -> 14 [size =\"8098816\"]\n  7 -> 15 [size =\"8098816\"]\n  7 -> 16 [size =\"8098816\"]\n  7 -> 17 [size =\"8098816\"]\n  7 -> 18 [size =\"8098816\"]\n  7 -> 19 [size =\"8098816\"]\n  7 -> 22 [size =\"8098816\"]\n  7 -> 25 [size =\"8098816\"]\n  8 [size=\"58439680\", alpha=\"0.13\", expect_size=\"29219840\"] \n  8 -> 15 [size =\"29219840\"]\n  8 -> 16 [size =\"29219840\"]\n  8 -> 17 [size =\"29219840\"]\n  8 -> 17 [size =\"29219840\"]\n  8 -> 18 [size =\"29219840\"]\n  8 -> 22 [size =\"29219840\"]\n  8 -> 25 [size =\"29219840\"]\n  8 -> 25 [size =\"29219840\"]\n  9 [size=\"69142528\", alpha=\"0.11\", expect_size=\"34571264\"] \n  9 -> 16 [size =\"34571264\"]\n  9 -> 16 [size =\"34571264\"]\n  9 -> 17 [size =\"34571264\"]\n  9 -> 25 [size =\"34571264\"]\n  10 [size=\"78880768\", alpha=\"0.03\", expect_size=\"39440384\"] \n  11 [size=\"100265984\", alpha=\"0.01\", expect_size=\"50132992\"] \n  11 -> 16 [size =\"50132992\"]\n  11 -> 23 [size =\"50132992\"]\n  12 [size=\"13340672\", alpha=\"0.04\", expect_size=\"6670336\"] \n  12 -> 16 [size =\"6670336\"]\n  12 -> 20 [size =\"6670336\"]\n  12 -> 21 [size =\"6670336\"]\n  12 -> 22 [size =\"6670336\"]\n  12 -> 25 [size =\"6670336\"]\n  13 [size=\"82659328\", alpha=\"0.17\", expect_size=\"41329664\"] \n  13 -> 14 [size =\"41329664\"]\n  13 -> 15 [size =\"41329664\"]\n  13 -> 20 [size =\"41329664\"]\n  13 -> 25 [size =\"41329664\"]\n  14 [size=\"48605184\", alpha=\"0.01\", expect_size=\"24302592\"] \n  14 -> 26 [size =\"24302592\"]\n  14 -> 30 [size =\"24302592\"]\n  14 -> 31 [size =\"24302592\"]\n  14 -> 35 [size =\"24302592\"]\n  15 [size=\"68454400\", alpha=\"0.18\", expect_size=\"34227200\"] \n  15 -> 27 [size =\"34227200\"]\n  15 -> 28 [size =\"34227200\"]\n  15 -> 35 [size =\"34227200\"]\n  16 [size=\"76427264\", alpha=\"0.02\", expect_size=\"38213632\"] \n  16 -> 33 [size =\"38213632\"]\n  16 -> 34 [size =\"38213632\"]\n  17 [size=\"53151744\", alpha=\"0.04\", expect_size=\"26575872\"] \n  17 -> 28 [size =\"26575872\"]\n  17 -> 30 [size =\"26575872\"]\n  18 [size=\"92581888\", alpha=\"0.13\", expect_size=\"46290944\"] \n  18 -> 26 [size =\"46290944\"]\n  18 -> 27 [size =\"46290944\"]\n  18 -> 29 [size =\"46290944\"]\n  18 -> 30 [size =\"46290944\"]\n  19 [size=\"60123136\", alpha=\"0.00\", expect_size=\"30061568\"] \n  19 -> 26 [size =\"30061568\"]\n  19 -> 28 [size =\"30061568\"]\n  19 -> 29 [size =\"30061568\"]\n  20 [size=\"15585280\", alpha=\"0.02\", expect_size=\"7792640\"] \n  20 -> 26 [size =\"7792640\"]\n  20 -> 27 [size =\"7792640\"]\n  20 -> 28 [size =\"7792640\"]\n  20 -> 29 [size =\"7792640\"]\n  20 -> 31 [size =\"7792640\"]\n  21 [size=\"27451392\", alpha=\"0.16\", expect_size=\"13725696\"] \n  21 -> 26 [size =\"13725696\"]\n  21 -> 27 [size =\"13725696\"]\n  21 -> 28 [size =\"13725696\"]\n  21 -> 29 [size =\"13725696\"]\n  21 -> 30 [size =\"13725696\"]\n  21 -> 32 [size =\"13725696\"]\n  21 -> 34 [size =\"13725696\"]\n  22 [size=\"31420416\", alpha=\"0.15\", expect_size=\"15710208\"] \n  22 -> 26 [size =\"15710208\"]\n  22 -> 27 [size =\"15710208\"]\n  22 -> 28 [size =\"15710208\"]\n  22 -> 29 [size =\"15710208\"]\n  22 -> 30 [size =\"15710208\"]\n  23 [size=\"52269056\", alpha=\"0.08\", expect_size=\"26134528\"] \n  23 -> 26 [size =\"26134528\"]\n  23 -> 27 [size =\"26134528\"]\n  23 -> 29 [size =\"26134528\"]\n  23 -> 29 [size =\"26134528\"]\n  23 -> 30 [size =\"26134528\"]\n  23 -> 31 [size =\"26134528\"]\n  24 [size=\"35883008\", alpha=\"0.19\", expect_size=\"17941504\"] \n  24 -> 35 [size =\"17941504\"]\n  25 [size=\"42549248\", alpha=\"0.05\", expect_size=\"21274624\"] \n  25 -> 28 [size =\"21274624\"]\n  25 -> 29 [size =\"21274624\"]\n  25 -> 30 [size =\"21274624\"]\n  25 -> 32 [size =\"21274624\"]\n  26 [size=\"31873024\", alpha=\"0.11\", expect_size=\"15936512\"] \n  27 [size=\"40263680\", alpha=\"0.20\", expect_size=\"20131840\"] \n  28 [size=\"61061120\", alpha=\"0.18\", expect_size=\"30530560\"] \n  29 [size=\"28364800\", alpha=\"0.09\", expect_size=\"14182400\"] \n  30 [size=\"29468672\", alpha=\"0.14\", expect_size=\"14734336\"] \n  31 [size=\"37693440\", alpha=\"0.18\", expect_size=\"18846720\"] \n  32 [size=\"18712576\", alpha=\"0.03\", expect_size=\"9356288\"] \n  33 [size=\"89030656\", alpha=\"0.03\", expect_size=\"44515328\"] \n  34 [size=\"31164416\", alpha=\"0.11\", expect_size=\"15582208\"] \n  35 [size=\"26836992\", alpha=\"0.12\", expect_size=\"13418496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78540800\", alpha=\"0.05\", expect_size=\"23562240\"] \n  1 -> 2 [size =\"23562240\"]\n  2 [size=\"42898773\", alpha=\"0.12\", expect_size=\"12869632\"] \n  2 -> 3 [size =\"12869632\"]\n  3 [size=\"141953707\", alpha=\"0.07\", expect_size=\"42586112\"] \n  3 -> 4 [size =\"42586112\"]\n  4 [size=\"119043413\", alpha=\"0.20\", expect_size=\"35713024\"] \n  4 -> 5 [size =\"35713024\"]\n  5 [size=\"69874347\", alpha=\"0.09\", expect_size=\"20962304\"] \n  5 -> 6 [size =\"20962304\"]\n  6 [size=\"154084693\", alpha=\"0.03\", expect_size=\"46225408\"] \n  6 -> 7 [size =\"46225408\"]\n  7 [size=\"83124907\", alpha=\"0.12\", expect_size=\"24937472\"] \n  7 -> 8 [size =\"24937472\"]\n  8 [size=\"68358827\", alpha=\"0.13\", expect_size=\"20507648\"] \n  8 -> 9 [size =\"20507648\"]\n  9 [size=\"77895680\", alpha=\"0.03\", expect_size=\"23368704\"] \n  9 -> 10 [size =\"23368704\"]\n  10 [size=\"156289707\", alpha=\"0.19\", expect_size=\"46886912\"] \n  10 -> 11 [size =\"46886912\"]\n  11 [size=\"121589760\", alpha=\"0.06\", expect_size=\"36476928\"] \n  11 -> 12 [size =\"36476928\"]\n  12 [size=\"159559680\", alpha=\"0.10\", expect_size=\"47867904\"] \n  12 -> 13 [size =\"47867904\"]\n  13 [size=\"98648747\", alpha=\"0.03\", expect_size=\"29594624\"] \n  13 -> 14 [size =\"29594624\"]\n  14 [size=\"153528320\", alpha=\"0.00\", expect_size=\"46058496\"] \n  14 -> 15 [size =\"46058496\"]\n  15 [size=\"150729387\", alpha=\"0.20\", expect_size=\"45218816\"] \n  15 -> 16 [size =\"45218816\"]\n  16 [size=\"64798720\", alpha=\"0.08\", expect_size=\"19439616\"] \n  16 -> 17 [size =\"19439616\"]\n  17 [size=\"86261760\", alpha=\"0.19\", expect_size=\"25878528\"] \n  17 -> 18 [size =\"25878528\"]\n  18 [size=\"26531840\", alpha=\"0.02\", expect_size=\"7959552\"] \n  18 -> 19 [size =\"7959552\"]\n  19 [size=\"129143467\", alpha=\"0.19\", expect_size=\"38743040\"] \n  19 -> 20 [size =\"38743040\"]\n  20 [size=\"149971627\", alpha=\"0.08\", expect_size=\"44991488\"] \n  20 -> 21 [size =\"44991488\"]\n  21 [size=\"141875200\", alpha=\"0.04\", expect_size=\"42562560\"] \n  21 -> 22 [size =\"42562560\"]\n  22 [size=\"30211413\", alpha=\"0.04\", expect_size=\"9063424\"] \n  22 -> 23 [size =\"9063424\"]\n  23 [size=\"106161493\", alpha=\"0.19\", expect_size=\"31848448\"] \n  23 -> 24 [size =\"31848448\"]\n  24 [size=\"129020587\", alpha=\"0.07\", expect_size=\"38706176\"] \n  24 -> 25 [size =\"38706176\"]\n  25 [size=\"130471253\", alpha=\"0.02\", expect_size=\"39141376\"] \n  25 -> 26 [size =\"39141376\"]\n  26 [size=\"129733973\", alpha=\"0.15\", expect_size=\"38920192\"] \n  26 -> 27 [size =\"38920192\"]\n  27 [size=\"33829547\", alpha=\"0.16\", expect_size=\"10148864\"] \n  27 -> 28 [size =\"10148864\"]\n  28 [size=\"27214507\", alpha=\"0.03\", expect_size=\"8164352\"] \n  28 -> 29 [size =\"8164352\"]\n  29 [size=\"45465600\", alpha=\"0.18\", expect_size=\"13639680\"] \n  29 -> 30 [size =\"13639680\"]\n  30 [size=\"37184853\", alpha=\"0.10\", expect_size=\"11155456\"] \n  30 -> 31 [size =\"11155456\"]\n  31 [size=\"96757760\", alpha=\"0.16\", expect_size=\"29027328\"] \n  31 -> 32 [size =\"29027328\"]\n  32 [size=\"127972693\", alpha=\"0.20\", expect_size=\"38391808\"] \n  32 -> 33 [size =\"38391808\"]\n  33 [size=\"156245333\", alpha=\"0.14\", expect_size=\"46873600\"] \n  33 -> 34 [size =\"46873600\"]\n  34 [size=\"148770133\", alpha=\"0.06\", expect_size=\"44631040\"] \n  34 -> 35 [size =\"44631040\"]\n  35 [size=\"49834667\", alpha=\"0.14\", expect_size=\"14950400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64688640\", alpha=\"0.13\", expect_size=\"25875456\"] \n  1 -> 25 [size =\"25875456\"]\n  1 -> 26 [size =\"25875456\"]\n  1 -> 33 [size =\"25875456\"]\n  2 [size=\"67640320\", alpha=\"0.17\", expect_size=\"27056128\"] \n  2 -> 33 [size =\"27056128\"]\n  3 [size=\"66961920\", alpha=\"0.03\", expect_size=\"26784768\"] \n  3 -> 25 [size =\"26784768\"]\n  3 -> 26 [size =\"26784768\"]\n  3 -> 28 [size =\"26784768\"]\n  3 -> 32 [size =\"26784768\"]\n  3 -> 33 [size =\"26784768\"]\n  3 -> 34 [size =\"26784768\"]\n  4 [size=\"46932480\", alpha=\"0.19\", expect_size=\"18772992\"] \n  4 -> 30 [size =\"18772992\"]\n  4 -> 32 [size =\"18772992\"]\n  5 [size=\"92930560\", alpha=\"0.01\", expect_size=\"37172224\"] \n  5 -> 31 [size =\"37172224\"]\n  5 -> 33 [size =\"37172224\"]\n  6 [size=\"29780480\", alpha=\"0.17\", expect_size=\"11912192\"] \n  6 -> 28 [size =\"11912192\"]\n  6 -> 30 [size =\"11912192\"]\n  6 -> 31 [size =\"11912192\"]\n  7 [size=\"18106880\", alpha=\"0.09\", expect_size=\"7242752\"] \n  7 -> 25 [size =\"7242752\"]\n  7 -> 26 [size =\"7242752\"]\n  7 -> 28 [size =\"7242752\"]\n  7 -> 29 [size =\"7242752\"]\n  7 -> 30 [size =\"7242752\"]\n  7 -> 32 [size =\"7242752\"]\n  7 -> 34 [size =\"7242752\"]\n  8 [size=\"119462400\", alpha=\"0.17\", expect_size=\"47784960\"] \n  8 -> 26 [size =\"47784960\"]\n  8 -> 26 [size =\"47784960\"]\n  8 -> 28 [size =\"47784960\"]\n  8 -> 30 [size =\"47784960\"]\n  8 -> 32 [size =\"47784960\"]\n  8 -> 33 [size =\"47784960\"]\n  9 [size=\"71380480\", alpha=\"0.04\", expect_size=\"28552192\"] \n  9 -> 25 [size =\"28552192\"]\n  9 -> 29 [size =\"28552192\"]\n  9 -> 30 [size =\"28552192\"]\n  9 -> 30 [size =\"28552192\"]\n  9 -> 33 [size =\"28552192\"]\n  10 [size=\"105318400\", alpha=\"0.17\", expect_size=\"42127360\"] \n  10 -> 25 [size =\"42127360\"]\n  10 -> 28 [size =\"42127360\"]\n  10 -> 32 [size =\"42127360\"]\n  10 -> 33 [size =\"42127360\"]\n  10 -> 33 [size =\"42127360\"]\n  11 [size=\"75737600\", alpha=\"0.06\", expect_size=\"30295040\"] \n  11 -> 25 [size =\"30295040\"]\n  11 -> 28 [size =\"30295040\"]\n  11 -> 33 [size =\"30295040\"]\n  11 -> 33 [size =\"30295040\"]\n  12 [size=\"34624000\", alpha=\"0.09\", expect_size=\"13849600\"] \n  12 -> 25 [size =\"13849600\"]\n  12 -> 27 [size =\"13849600\"]\n  12 -> 28 [size =\"13849600\"]\n  12 -> 30 [size =\"13849600\"]\n  12 -> 33 [size =\"13849600\"]\n  13 [size=\"17843200\", alpha=\"0.10\", expect_size=\"7137280\"] \n  13 -> 25 [size =\"7137280\"]\n  13 -> 28 [size =\"7137280\"]\n  13 -> 30 [size =\"7137280\"]\n  13 -> 31 [size =\"7137280\"]\n  13 -> 33 [size =\"7137280\"]\n  14 [size=\"34572800\", alpha=\"0.11\", expect_size=\"13829120\"] \n  14 -> 30 [size =\"13829120\"]\n  15 [size=\"28623360\", alpha=\"0.01\", expect_size=\"11449344\"] \n  15 -> 25 [size =\"11449344\"]\n  15 -> 33 [size =\"11449344\"]\n  16 [size=\"33405440\", alpha=\"0.08\", expect_size=\"13362176\"] \n  16 -> 25 [size =\"13362176\"]\n  17 [size=\"15347200\", alpha=\"0.14\", expect_size=\"6138880\"] \n  17 -> 26 [size =\"6138880\"]\n  17 -> 28 [size =\"6138880\"]\n  17 -> 30 [size =\"6138880\"]\n  17 -> 32 [size =\"6138880\"]\n  18 [size=\"67235840\", alpha=\"0.12\", expect_size=\"26894336\"] \n  18 -> 25 [size =\"26894336\"]\n  18 -> 29 [size =\"26894336\"]\n  18 -> 31 [size =\"26894336\"]\n  19 [size=\"49200640\", alpha=\"0.11\", expect_size=\"19680256\"] \n  19 -> 28 [size =\"19680256\"]\n  19 -> 30 [size =\"19680256\"]\n  19 -> 31 [size =\"19680256\"]\n  20 [size=\"75683840\", alpha=\"0.14\", expect_size=\"30273536\"] \n  20 -> 25 [size =\"30273536\"]\n  20 -> 28 [size =\"30273536\"]\n  20 -> 30 [size =\"30273536\"]\n  21 [size=\"60902400\", alpha=\"0.07\", expect_size=\"24360960\"] \n  21 -> 25 [size =\"24360960\"]\n  21 -> 26 [size =\"24360960\"]\n  21 -> 28 [size =\"24360960\"]\n  21 -> 30 [size =\"24360960\"]\n  21 -> 33 [size =\"24360960\"]\n  22 [size=\"95196160\", alpha=\"0.09\", expect_size=\"38078464\"] \n  22 -> 25 [size =\"38078464\"]\n  22 -> 28 [size =\"38078464\"]\n  22 -> 28 [size =\"38078464\"]\n  22 -> 31 [size =\"38078464\"]\n  22 -> 35 [size =\"38078464\"]\n  23 [size=\"32512000\", alpha=\"0.20\", expect_size=\"13004800\"] \n  23 -> 28 [size =\"13004800\"]\n  23 -> 30 [size =\"13004800\"]\n  23 -> 33 [size =\"13004800\"]\n  24 [size=\"91735040\", alpha=\"0.16\", expect_size=\"36694016\"] \n  24 -> 31 [size =\"36694016\"]\n  25 [size=\"36554240\", alpha=\"0.06\", expect_size=\"14621696\"] \n  26 [size=\"45355520\", alpha=\"0.19\", expect_size=\"18142208\"] \n  27 [size=\"94970880\", alpha=\"0.13\", expect_size=\"37988352\"] \n  28 [size=\"59325440\", alpha=\"0.05\", expect_size=\"23730176\"] \n  29 [size=\"15016960\", alpha=\"0.07\", expect_size=\"6006784\"] \n  30 [size=\"77327360\", alpha=\"0.04\", expect_size=\"30930944\"] \n  31 [size=\"44003840\", alpha=\"0.12\", expect_size=\"17601536\"] \n  32 [size=\"84592640\", alpha=\"0.04\", expect_size=\"33837056\"] \n  33 [size=\"17697280\", alpha=\"0.16\", expect_size=\"7078912\"] \n  34 [size=\"15142400\", alpha=\"0.13\", expect_size=\"6056960\"] \n  35 [size=\"110753280\", alpha=\"0.11\", expect_size=\"44301312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77286400\", alpha=\"0.00\", expect_size=\"30914560\"] \n  2 [size=\"119936000\", alpha=\"0.09\", expect_size=\"47974400\"] \n  2 -> 33 [size =\"47974400\"]\n  2 -> 35 [size =\"47974400\"]\n  3 [size=\"21291520\", alpha=\"0.13\", expect_size=\"8516608\"] \n  4 [size=\"85376000\", alpha=\"0.11\", expect_size=\"34150400\"] \n  4 -> 33 [size =\"34150400\"]\n  4 -> 34 [size =\"34150400\"]\n  5 [size=\"91225600\", alpha=\"0.08\", expect_size=\"36490240\"] \n  5 -> 33 [size =\"36490240\"]\n  5 -> 34 [size =\"36490240\"]\n  5 -> 35 [size =\"36490240\"]\n  6 [size=\"92436480\", alpha=\"0.13\", expect_size=\"36974592\"] \n  6 -> 35 [size =\"36974592\"]\n  7 [size=\"35522560\", alpha=\"0.17\", expect_size=\"14209024\"] \n  7 -> 33 [size =\"14209024\"]\n  7 -> 34 [size =\"14209024\"]\n  7 -> 35 [size =\"14209024\"]\n  8 [size=\"89443840\", alpha=\"0.16\", expect_size=\"35777536\"] \n  8 -> 33 [size =\"35777536\"]\n  9 [size=\"62323200\", alpha=\"0.18\", expect_size=\"24929280\"] \n  9 -> 34 [size =\"24929280\"]\n  9 -> 35 [size =\"24929280\"]\n  10 [size=\"61895680\", alpha=\"0.16\", expect_size=\"24758272\"] \n  11 [size=\"70863360\", alpha=\"0.07\", expect_size=\"28345344\"] \n  11 -> 35 [size =\"28345344\"]\n  12 [size=\"73259520\", alpha=\"0.05\", expect_size=\"29303808\"] \n  12 -> 35 [size =\"29303808\"]\n  13 [size=\"126202880\", alpha=\"0.09\", expect_size=\"50481152\"] \n  13 -> 34 [size =\"50481152\"]\n  13 -> 35 [size =\"50481152\"]\n  14 [size=\"86338560\", alpha=\"0.06\", expect_size=\"34535424\"] \n  14 -> 34 [size =\"34535424\"]\n  15 [size=\"33820160\", alpha=\"0.05\", expect_size=\"13528064\"] \n  15 -> 33 [size =\"13528064\"]\n  15 -> 34 [size =\"13528064\"]\n  16 [size=\"81707520\", alpha=\"0.10\", expect_size=\"32683008\"] \n  16 -> 35 [size =\"32683008\"]\n  17 [size=\"43189760\", alpha=\"0.18\", expect_size=\"17275904\"] \n  17 -> 34 [size =\"17275904\"]\n  17 -> 35 [size =\"17275904\"]\n  18 [size=\"25400320\", alpha=\"0.05\", expect_size=\"10160128\"] \n  18 -> 33 [size =\"10160128\"]\n  18 -> 34 [size =\"10160128\"]\n  19 [size=\"121011200\", alpha=\"0.12\", expect_size=\"48404480\"] \n  19 -> 34 [size =\"48404480\"]\n  19 -> 34 [size =\"48404480\"]\n  19 -> 35 [size =\"48404480\"]\n  20 [size=\"111052800\", alpha=\"0.00\", expect_size=\"44421120\"] \n  20 -> 34 [size =\"44421120\"]\n  21 [size=\"85585920\", alpha=\"0.20\", expect_size=\"34234368\"] \n  21 -> 34 [size =\"34234368\"]\n  22 [size=\"125954560\", alpha=\"0.17\", expect_size=\"50381824\"] \n  22 -> 34 [size =\"50381824\"]\n  22 -> 35 [size =\"50381824\"]\n  23 [size=\"36835840\", alpha=\"0.16\", expect_size=\"14734336\"] \n  23 -> 33 [size =\"14734336\"]\n  23 -> 34 [size =\"14734336\"]\n  24 [size=\"89927680\", alpha=\"0.08\", expect_size=\"35971072\"] \n  24 -> 33 [size =\"35971072\"]\n  24 -> 34 [size =\"35971072\"]\n  24 -> 35 [size =\"35971072\"]\n  25 [size=\"123699200\", alpha=\"0.12\", expect_size=\"49479680\"] \n  25 -> 33 [size =\"49479680\"]\n  25 -> 34 [size =\"49479680\"]\n  26 [size=\"35468800\", alpha=\"0.10\", expect_size=\"14187520\"] \n  26 -> 33 [size =\"14187520\"]\n  26 -> 34 [size =\"14187520\"]\n  26 -> 35 [size =\"14187520\"]\n  27 [size=\"93207040\", alpha=\"0.12\", expect_size=\"37282816\"] \n  27 -> 34 [size =\"37282816\"]\n  28 [size=\"79183360\", alpha=\"0.06\", expect_size=\"31673344\"] \n  28 -> 33 [size =\"31673344\"]\n  28 -> 34 [size =\"31673344\"]\n  29 [size=\"111503360\", alpha=\"0.09\", expect_size=\"44601344\"] \n  29 -> 34 [size =\"44601344\"]\n  30 [size=\"61619200\", alpha=\"0.01\", expect_size=\"24647680\"] \n  31 [size=\"62584320\", alpha=\"0.02\", expect_size=\"25033728\"] \n  32 [size=\"60615680\", alpha=\"0.13\", expect_size=\"24246272\"] \n  32 -> 33 [size =\"24246272\"]\n  32 -> 35 [size =\"24246272\"]\n  33 [size=\"44574720\", alpha=\"0.04\", expect_size=\"17829888\"] \n  34 [size=\"22648320\", alpha=\"0.07\", expect_size=\"9059328\"] \n  35 [size=\"67110400\", alpha=\"0.13\", expect_size=\"26844160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90083328\", alpha=\"0.11\", expect_size=\"45041664\"] \n  1 -> 11 [size =\"45041664\"]\n  1 -> 12 [size =\"45041664\"]\n  1 -> 14 [size =\"45041664\"]\n  2 [size=\"74285056\", alpha=\"0.04\", expect_size=\"37142528\"] \n  2 -> 12 [size =\"37142528\"]\n  2 -> 13 [size =\"37142528\"]\n  2 -> 14 [size =\"37142528\"]\n  2 -> 15 [size =\"37142528\"]\n  3 [size=\"51208192\", alpha=\"0.13\", expect_size=\"25604096\"] \n  3 -> 12 [size =\"25604096\"]\n  3 -> 15 [size =\"25604096\"]\n  3 -> 16 [size =\"25604096\"]\n  4 [size=\"23685120\", alpha=\"0.15\", expect_size=\"11842560\"] \n  4 -> 7 [size =\"11842560\"]\n  4 -> 9 [size =\"11842560\"]\n  4 -> 14 [size =\"11842560\"]\n  4 -> 16 [size =\"11842560\"]\n  5 [size=\"76044288\", alpha=\"0.20\", expect_size=\"38022144\"] \n  5 -> 8 [size =\"38022144\"]\n  5 -> 9 [size =\"38022144\"]\n  5 -> 10 [size =\"38022144\"]\n  5 -> 11 [size =\"38022144\"]\n  5 -> 13 [size =\"38022144\"]\n  5 -> 14 [size =\"38022144\"]\n  5 -> 16 [size =\"38022144\"]\n  6 [size=\"41396224\", alpha=\"0.05\", expect_size=\"20698112\"] \n  6 -> 8 [size =\"20698112\"]\n  6 -> 10 [size =\"20698112\"]\n  6 -> 11 [size =\"20698112\"]\n  6 -> 13 [size =\"20698112\"]\n  6 -> 14 [size =\"20698112\"]\n  6 -> 14 [size =\"20698112\"]\n  6 -> 16 [size =\"20698112\"]\n  7 [size=\"46454784\", alpha=\"0.05\", expect_size=\"23227392\"] \n  7 -> 17 [size =\"23227392\"]\n  7 -> 20 [size =\"23227392\"]\n  7 -> 21 [size =\"23227392\"]\n  7 -> 23 [size =\"23227392\"]\n  8 [size=\"41375744\", alpha=\"0.02\", expect_size=\"20687872\"] \n  8 -> 17 [size =\"20687872\"]\n  8 -> 18 [size =\"20687872\"]\n  8 -> 19 [size =\"20687872\"]\n  8 -> 23 [size =\"20687872\"]\n  9 [size=\"60540928\", alpha=\"0.03\", expect_size=\"30270464\"] \n  9 -> 17 [size =\"30270464\"]\n  10 [size=\"98330624\", alpha=\"0.07\", expect_size=\"49165312\"] \n  10 -> 17 [size =\"49165312\"]\n  10 -> 19 [size =\"49165312\"]\n  10 -> 23 [size =\"49165312\"]\n  11 [size=\"40413184\", alpha=\"0.20\", expect_size=\"20206592\"] \n  11 -> 17 [size =\"20206592\"]\n  11 -> 20 [size =\"20206592\"]\n  11 -> 21 [size =\"20206592\"]\n  11 -> 23 [size =\"20206592\"]\n  12 [size=\"91021312\", alpha=\"0.17\", expect_size=\"45510656\"] \n  12 -> 19 [size =\"45510656\"]\n  12 -> 20 [size =\"45510656\"]\n  12 -> 22 [size =\"45510656\"]\n  13 [size=\"13430784\", alpha=\"0.10\", expect_size=\"6715392\"] \n  13 -> 18 [size =\"6715392\"]\n  13 -> 19 [size =\"6715392\"]\n  13 -> 20 [size =\"6715392\"]\n  13 -> 21 [size =\"6715392\"]\n  13 -> 23 [size =\"6715392\"]\n  14 [size=\"75186176\", alpha=\"0.07\", expect_size=\"37593088\"] \n  14 -> 17 [size =\"37593088\"]\n  14 -> 18 [size =\"37593088\"]\n  14 -> 20 [size =\"37593088\"]\n  14 -> 21 [size =\"37593088\"]\n  14 -> 23 [size =\"37593088\"]\n  15 [size=\"52938752\", alpha=\"0.10\", expect_size=\"26469376\"] \n  15 -> 17 [size =\"26469376\"]\n  15 -> 18 [size =\"26469376\"]\n  15 -> 19 [size =\"26469376\"]\n  15 -> 20 [size =\"26469376\"]\n  15 -> 21 [size =\"26469376\"]\n  16 [size=\"52092928\", alpha=\"0.19\", expect_size=\"26046464\"] \n  16 -> 17 [size =\"26046464\"]\n  16 -> 18 [size =\"26046464\"]\n  16 -> 20 [size =\"26046464\"]\n  16 -> 21 [size =\"26046464\"]\n  16 -> 21 [size =\"26046464\"]\n  16 -> 23 [size =\"26046464\"]\n  17 [size=\"75421696\", alpha=\"0.06\", expect_size=\"37710848\"] \n  17 -> 24 [size =\"37710848\"]\n  17 -> 25 [size =\"37710848\"]\n  17 -> 27 [size =\"37710848\"]\n  17 -> 29 [size =\"37710848\"]\n  17 -> 31 [size =\"37710848\"]\n  18 [size=\"99917824\", alpha=\"0.20\", expect_size=\"49958912\"] \n  18 -> 24 [size =\"49958912\"]\n  18 -> 25 [size =\"49958912\"]\n  18 -> 26 [size =\"49958912\"]\n  18 -> 27 [size =\"49958912\"]\n  18 -> 29 [size =\"49958912\"]\n  18 -> 31 [size =\"49958912\"]\n  19 [size=\"13920256\", alpha=\"0.13\", expect_size=\"6960128\"] \n  19 -> 25 [size =\"6960128\"]\n  19 -> 26 [size =\"6960128\"]\n  19 -> 27 [size =\"6960128\"]\n  19 -> 30 [size =\"6960128\"]\n  19 -> 31 [size =\"6960128\"]\n  20 [size=\"30058496\", alpha=\"0.08\", expect_size=\"15029248\"] \n  20 -> 25 [size =\"15029248\"]\n  20 -> 27 [size =\"15029248\"]\n  20 -> 29 [size =\"15029248\"]\n  20 -> 31 [size =\"15029248\"]\n  21 [size=\"64563200\", alpha=\"0.01\", expect_size=\"32281600\"] \n  21 -> 25 [size =\"32281600\"]\n  21 -> 28 [size =\"32281600\"]\n  21 -> 29 [size =\"32281600\"]\n  21 -> 31 [size =\"32281600\"]\n  22 [size=\"63188992\", alpha=\"0.07\", expect_size=\"31594496\"] \n  22 -> 25 [size =\"31594496\"]\n  22 -> 27 [size =\"31594496\"]\n  22 -> 28 [size =\"31594496\"]\n  22 -> 29 [size =\"31594496\"]\n  22 -> 31 [size =\"31594496\"]\n  23 [size=\"49489920\", alpha=\"0.02\", expect_size=\"24744960\"] \n  23 -> 24 [size =\"24744960\"]\n  23 -> 27 [size =\"24744960\"]\n  23 -> 28 [size =\"24744960\"]\n  23 -> 29 [size =\"24744960\"]\n  23 -> 31 [size =\"24744960\"]\n  24 [size=\"95447040\", alpha=\"0.20\", expect_size=\"47723520\"] \n  24 -> 32 [size =\"47723520\"]\n  24 -> 33 [size =\"47723520\"]\n  24 -> 35 [size =\"47723520\"]\n  25 [size=\"35430400\", alpha=\"0.11\", expect_size=\"17715200\"] \n  25 -> 33 [size =\"17715200\"]\n  25 -> 33 [size =\"17715200\"]\n  26 [size=\"80570368\", alpha=\"0.09\", expect_size=\"40285184\"] \n  26 -> 34 [size =\"40285184\"]\n  27 [size=\"77469696\", alpha=\"0.15\", expect_size=\"38734848\"] \n  27 -> 34 [size =\"38734848\"]\n  28 [size=\"11956224\", alpha=\"0.07\", expect_size=\"5978112\"] \n  28 -> 33 [size =\"5978112\"]\n  28 -> 34 [size =\"5978112\"]\n  29 [size=\"104828928\", alpha=\"0.10\", expect_size=\"52414464\"] \n  29 -> 33 [size =\"52414464\"]\n  29 -> 34 [size =\"52414464\"]\n  30 [size=\"69773312\", alpha=\"0.12\", expect_size=\"34886656\"] \n  30 -> 32 [size =\"34886656\"]\n  30 -> 33 [size =\"34886656\"]\n  30 -> 34 [size =\"34886656\"]\n  30 -> 35 [size =\"34886656\"]\n  31 [size=\"14944256\", alpha=\"0.19\", expect_size=\"7472128\"] \n  31 -> 33 [size =\"7472128\"]\n  31 -> 33 [size =\"7472128\"]\n  31 -> 34 [size =\"7472128\"]\n  32 [size=\"19941376\", alpha=\"0.04\", expect_size=\"9970688\"] \n  33 [size=\"54192128\", alpha=\"0.10\", expect_size=\"27096064\"] \n  34 [size=\"64049152\", alpha=\"0.09\", expect_size=\"32024576\"] \n  35 [size=\"62711808\", alpha=\"0.17\", expect_size=\"31355904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58695680\", alpha=\"0.17\", expect_size=\"17608704\"] \n  1 -> 13 [size =\"17608704\"]\n  1 -> 14 [size =\"17608704\"]\n  1 -> 17 [size =\"17608704\"]\n  1 -> 19 [size =\"17608704\"]\n  2 [size=\"38802773\", alpha=\"0.11\", expect_size=\"11640832\"] \n  2 -> 13 [size =\"11640832\"]\n  2 -> 14 [size =\"11640832\"]\n  2 -> 16 [size =\"11640832\"]\n  2 -> 17 [size =\"11640832\"]\n  2 -> 18 [size =\"11640832\"]\n  2 -> 19 [size =\"11640832\"]\n  2 -> 20 [size =\"11640832\"]\n  3 [size=\"50172587\", alpha=\"0.09\", expect_size=\"15051776\"] \n  3 -> 11 [size =\"15051776\"]\n  3 -> 13 [size =\"15051776\"]\n  3 -> 14 [size =\"15051776\"]\n  3 -> 17 [size =\"15051776\"]\n  3 -> 20 [size =\"15051776\"]\n  4 [size=\"60149760\", alpha=\"0.06\", expect_size=\"18044928\"] \n  4 -> 12 [size =\"18044928\"]\n  4 -> 13 [size =\"18044928\"]\n  4 -> 14 [size =\"18044928\"]\n  4 -> 15 [size =\"18044928\"]\n  5 [size=\"118705493\", alpha=\"0.00\", expect_size=\"35611648\"] \n  5 -> 12 [size =\"35611648\"]\n  5 -> 13 [size =\"35611648\"]\n  5 -> 14 [size =\"35611648\"]\n  5 -> 15 [size =\"35611648\"]\n  5 -> 16 [size =\"35611648\"]\n  5 -> 17 [size =\"35611648\"]\n  5 -> 19 [size =\"35611648\"]\n  6 [size=\"148677973\", alpha=\"0.02\", expect_size=\"44603392\"] \n  6 -> 13 [size =\"44603392\"]\n  6 -> 17 [size =\"44603392\"]\n  6 -> 19 [size =\"44603392\"]\n  6 -> 20 [size =\"44603392\"]\n  7 [size=\"45202773\", alpha=\"0.17\", expect_size=\"13560832\"] \n  7 -> 11 [size =\"13560832\"]\n  7 -> 14 [size =\"13560832\"]\n  7 -> 15 [size =\"13560832\"]\n  7 -> 17 [size =\"13560832\"]\n  7 -> 19 [size =\"13560832\"]\n  8 [size=\"134888107\", alpha=\"0.02\", expect_size=\"40466432\"] \n  8 -> 16 [size =\"40466432\"]\n  8 -> 17 [size =\"40466432\"]\n  8 -> 19 [size =\"40466432\"]\n  8 -> 20 [size =\"40466432\"]\n  9 [size=\"144554667\", alpha=\"0.18\", expect_size=\"43366400\"] \n  9 -> 12 [size =\"43366400\"]\n  9 -> 14 [size =\"43366400\"]\n  9 -> 17 [size =\"43366400\"]\n  9 -> 19 [size =\"43366400\"]\n  9 -> 20 [size =\"43366400\"]\n  10 [size=\"35396267\", alpha=\"0.14\", expect_size=\"10618880\"] \n  10 -> 12 [size =\"10618880\"]\n  10 -> 15 [size =\"10618880\"]\n  10 -> 17 [size =\"10618880\"]\n  10 -> 18 [size =\"10618880\"]\n  10 -> 19 [size =\"10618880\"]\n  11 [size=\"89384960\", alpha=\"0.19\", expect_size=\"26815488\"] \n  11 -> 24 [size =\"26815488\"]\n  11 -> 28 [size =\"26815488\"]\n  11 -> 30 [size =\"26815488\"]\n  11 -> 31 [size =\"26815488\"]\n  11 -> 32 [size =\"26815488\"]\n  11 -> 33 [size =\"26815488\"]\n  12 [size=\"66099200\", alpha=\"0.05\", expect_size=\"19829760\"] \n  12 -> 23 [size =\"19829760\"]\n  12 -> 24 [size =\"19829760\"]\n  12 -> 25 [size =\"19829760\"]\n  12 -> 33 [size =\"19829760\"]\n  13 [size=\"152746667\", alpha=\"0.01\", expect_size=\"45824000\"] \n  13 -> 21 [size =\"45824000\"]\n  13 -> 25 [size =\"45824000\"]\n  13 -> 27 [size =\"45824000\"]\n  13 -> 28 [size =\"45824000\"]\n  13 -> 29 [size =\"45824000\"]\n  13 -> 31 [size =\"45824000\"]\n  13 -> 32 [size =\"45824000\"]\n  13 -> 33 [size =\"45824000\"]\n  14 [size=\"66136747\", alpha=\"0.14\", expect_size=\"19841024\"] \n  14 -> 25 [size =\"19841024\"]\n  14 -> 25 [size =\"19841024\"]\n  14 -> 28 [size =\"19841024\"]\n  14 -> 28 [size =\"19841024\"]\n  14 -> 32 [size =\"19841024\"]\n  14 -> 33 [size =\"19841024\"]\n  15 [size=\"115490133\", alpha=\"0.18\", expect_size=\"34647040\"] \n  15 -> 24 [size =\"34647040\"]\n  15 -> 25 [size =\"34647040\"]\n  15 -> 28 [size =\"34647040\"]\n  15 -> 29 [size =\"34647040\"]\n  15 -> 32 [size =\"34647040\"]\n  15 -> 33 [size =\"34647040\"]\n  16 [size=\"118906880\", alpha=\"0.08\", expect_size=\"35672064\"] \n  16 -> 22 [size =\"35672064\"]\n  16 -> 24 [size =\"35672064\"]\n  16 -> 25 [size =\"35672064\"]\n  16 -> 29 [size =\"35672064\"]\n  16 -> 32 [size =\"35672064\"]\n  17 [size=\"138161493\", alpha=\"0.01\", expect_size=\"41448448\"] \n  17 -> 24 [size =\"41448448\"]\n  17 -> 25 [size =\"41448448\"]\n  17 -> 29 [size =\"41448448\"]\n  17 -> 31 [size =\"41448448\"]\n  17 -> 32 [size =\"41448448\"]\n  17 -> 33 [size =\"41448448\"]\n  18 [size=\"111086933\", alpha=\"0.17\", expect_size=\"33326080\"] \n  18 -> 22 [size =\"33326080\"]\n  18 -> 24 [size =\"33326080\"]\n  18 -> 25 [size =\"33326080\"]\n  18 -> 26 [size =\"33326080\"]\n  18 -> 28 [size =\"33326080\"]\n  18 -> 29 [size =\"33326080\"]\n  18 -> 32 [size =\"33326080\"]\n  19 [size=\"127617707\", alpha=\"0.11\", expect_size=\"38285312\"] \n  19 -> 21 [size =\"38285312\"]\n  19 -> 24 [size =\"38285312\"]\n  19 -> 25 [size =\"38285312\"]\n  19 -> 26 [size =\"38285312\"]\n  19 -> 28 [size =\"38285312\"]\n  19 -> 29 [size =\"38285312\"]\n  19 -> 30 [size =\"38285312\"]\n  19 -> 32 [size =\"38285312\"]\n  20 [size=\"114882560\", alpha=\"0.09\", expect_size=\"34464768\"] \n  20 -> 24 [size =\"34464768\"]\n  20 -> 28 [size =\"34464768\"]\n  20 -> 31 [size =\"34464768\"]\n  20 -> 32 [size =\"34464768\"]\n  21 [size=\"64279893\", alpha=\"0.13\", expect_size=\"19283968\"] \n  22 [size=\"59996160\", alpha=\"0.19\", expect_size=\"17998848\"] \n  23 [size=\"102594560\", alpha=\"0.10\", expect_size=\"30778368\"] \n  23 -> 34 [size =\"30778368\"]\n  24 [size=\"108759040\", alpha=\"0.06\", expect_size=\"32627712\"] \n  24 -> 35 [size =\"32627712\"]\n  25 [size=\"58053973\", alpha=\"0.15\", expect_size=\"17416192\"] \n  26 [size=\"45315413\", alpha=\"0.01\", expect_size=\"13594624\"] \n  27 [size=\"110226773\", alpha=\"0.10\", expect_size=\"33068032\"] \n  27 -> 35 [size =\"33068032\"]\n  28 [size=\"119872853\", alpha=\"0.14\", expect_size=\"35961856\"] \n  28 -> 35 [size =\"35961856\"]\n  29 [size=\"94402560\", alpha=\"0.14\", expect_size=\"28320768\"] \n  29 -> 34 [size =\"28320768\"]\n  29 -> 35 [size =\"28320768\"]\n  30 [size=\"20708693\", alpha=\"0.17\", expect_size=\"6212608\"] \n  30 -> 34 [size =\"6212608\"]\n  30 -> 35 [size =\"6212608\"]\n  31 [size=\"92740267\", alpha=\"0.08\", expect_size=\"27822080\"] \n  31 -> 35 [size =\"27822080\"]\n  32 [size=\"37140480\", alpha=\"0.06\", expect_size=\"11142144\"] \n  32 -> 35 [size =\"11142144\"]\n  33 [size=\"32532480\", alpha=\"0.01\", expect_size=\"9759744\"] \n  33 -> 34 [size =\"9759744\"]\n  34 [size=\"111609173\", alpha=\"0.02\", expect_size=\"33482752\"] \n  35 [size=\"159761067\", alpha=\"0.16\", expect_size=\"47928320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69969920\", alpha=\"0.01\", expect_size=\"27987968\"] \n  1 -> 2 [size =\"27987968\"]\n  2 [size=\"36956160\", alpha=\"0.05\", expect_size=\"14782464\"] \n  2 -> 3 [size =\"14782464\"]\n  3 [size=\"121904640\", alpha=\"0.10\", expect_size=\"48761856\"] \n  3 -> 4 [size =\"48761856\"]\n  4 [size=\"47196160\", alpha=\"0.04\", expect_size=\"18878464\"] \n  4 -> 5 [size =\"18878464\"]\n  5 [size=\"46827520\", alpha=\"0.02\", expect_size=\"18731008\"] \n  5 -> 6 [size =\"18731008\"]\n  6 [size=\"64017920\", alpha=\"0.16\", expect_size=\"25607168\"] \n  6 -> 7 [size =\"25607168\"]\n  7 [size=\"71938560\", alpha=\"0.02\", expect_size=\"28775424\"] \n  7 -> 8 [size =\"28775424\"]\n  8 [size=\"94013440\", alpha=\"0.01\", expect_size=\"37605376\"] \n  8 -> 9 [size =\"37605376\"]\n  9 [size=\"90600960\", alpha=\"0.14\", expect_size=\"36240384\"] \n  9 -> 10 [size =\"36240384\"]\n  10 [size=\"89303040\", alpha=\"0.13\", expect_size=\"35721216\"] \n  10 -> 11 [size =\"35721216\"]\n  11 [size=\"26391040\", alpha=\"0.18\", expect_size=\"10556416\"] \n  11 -> 12 [size =\"10556416\"]\n  12 [size=\"30364160\", alpha=\"0.20\", expect_size=\"12145664\"] \n  12 -> 13 [size =\"12145664\"]\n  13 [size=\"59333120\", alpha=\"0.04\", expect_size=\"23733248\"] \n  13 -> 14 [size =\"23733248\"]\n  14 [size=\"116843520\", alpha=\"0.10\", expect_size=\"46737408\"] \n  14 -> 15 [size =\"46737408\"]\n  15 [size=\"23498240\", alpha=\"0.02\", expect_size=\"9399296\"] \n  15 -> 16 [size =\"9399296\"]\n  16 [size=\"35630080\", alpha=\"0.16\", expect_size=\"14252032\"] \n  16 -> 17 [size =\"14252032\"]\n  17 [size=\"14056960\", alpha=\"0.17\", expect_size=\"5622784\"] \n  17 -> 18 [size =\"5622784\"]\n  18 [size=\"24040960\", alpha=\"0.12\", expect_size=\"9616384\"] \n  18 -> 19 [size =\"9616384\"]\n  19 [size=\"30837760\", alpha=\"0.13\", expect_size=\"12335104\"] \n  19 -> 20 [size =\"12335104\"]\n  20 [size=\"111229440\", alpha=\"0.12\", expect_size=\"44491776\"] \n  20 -> 21 [size =\"44491776\"]\n  21 [size=\"71713280\", alpha=\"0.19\", expect_size=\"28685312\"] \n  21 -> 22 [size =\"28685312\"]\n  22 [size=\"57436160\", alpha=\"0.11\", expect_size=\"22974464\"] \n  22 -> 23 [size =\"22974464\"]\n  23 [size=\"56888320\", alpha=\"0.02\", expect_size=\"22755328\"] \n  23 -> 24 [size =\"22755328\"]\n  24 [size=\"80030720\", alpha=\"0.18\", expect_size=\"32012288\"] \n  24 -> 25 [size =\"32012288\"]\n  25 [size=\"22187520\", alpha=\"0.20\", expect_size=\"8875008\"] \n  25 -> 26 [size =\"8875008\"]\n  26 [size=\"31928320\", alpha=\"0.10\", expect_size=\"12771328\"] \n  26 -> 27 [size =\"12771328\"]\n  27 [size=\"124119040\", alpha=\"0.11\", expect_size=\"49647616\"] \n  27 -> 28 [size =\"49647616\"]\n  28 [size=\"107243520\", alpha=\"0.05\", expect_size=\"42897408\"] \n  28 -> 29 [size =\"42897408\"]\n  29 [size=\"61422080\", alpha=\"0.12\", expect_size=\"24568832\"] \n  29 -> 30 [size =\"24568832\"]\n  30 [size=\"22161920\", alpha=\"0.13\", expect_size=\"8864768\"] \n  30 -> 31 [size =\"8864768\"]\n  31 [size=\"90488320\", alpha=\"0.15\", expect_size=\"36195328\"] \n  31 -> 32 [size =\"36195328\"]\n  32 [size=\"87339520\", alpha=\"0.00\", expect_size=\"34935808\"] \n  32 -> 33 [size =\"34935808\"]\n  33 [size=\"36559360\", alpha=\"0.14\", expect_size=\"14623744\"] \n  33 -> 34 [size =\"14623744\"]\n  34 [size=\"46952960\", alpha=\"0.05\", expect_size=\"18781184\"] \n  34 -> 35 [size =\"18781184\"]\n  35 [size=\"34641920\", alpha=\"0.17\", expect_size=\"13856768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94887253\", alpha=\"0.06\", expect_size=\"28466176\"] \n  1 -> 13 [size =\"28466176\"]\n  1 -> 15 [size =\"28466176\"]\n  1 -> 16 [size =\"28466176\"]\n  1 -> 19 [size =\"28466176\"]\n  1 -> 20 [size =\"28466176\"]\n  2 [size=\"66007040\", alpha=\"0.18\", expect_size=\"19802112\"] \n  2 -> 12 [size =\"19802112\"]\n  2 -> 14 [size =\"19802112\"]\n  2 -> 16 [size =\"19802112\"]\n  2 -> 20 [size =\"19802112\"]\n  2 -> 20 [size =\"19802112\"]\n  3 [size=\"54797653\", alpha=\"0.11\", expect_size=\"16439296\"] \n  3 -> 18 [size =\"16439296\"]\n  3 -> 21 [size =\"16439296\"]\n  4 [size=\"91146240\", alpha=\"0.03\", expect_size=\"27343872\"] \n  4 -> 11 [size =\"27343872\"]\n  4 -> 12 [size =\"27343872\"]\n  4 -> 16 [size =\"27343872\"]\n  4 -> 20 [size =\"27343872\"]\n  5 [size=\"73806507\", alpha=\"0.16\", expect_size=\"22141952\"] \n  5 -> 11 [size =\"22141952\"]\n  5 -> 12 [size =\"22141952\"]\n  5 -> 13 [size =\"22141952\"]\n  6 [size=\"169642667\", alpha=\"0.16\", expect_size=\"50892800\"] \n  6 -> 11 [size =\"50892800\"]\n  6 -> 14 [size =\"50892800\"]\n  6 -> 15 [size =\"50892800\"]\n  6 -> 17 [size =\"50892800\"]\n  6 -> 21 [size =\"50892800\"]\n  7 [size=\"91528533\", alpha=\"0.05\", expect_size=\"27458560\"] \n  7 -> 15 [size =\"27458560\"]\n  7 -> 16 [size =\"27458560\"]\n  7 -> 20 [size =\"27458560\"]\n  8 [size=\"118739627\", alpha=\"0.07\", expect_size=\"35621888\"] \n  8 -> 12 [size =\"35621888\"]\n  8 -> 13 [size =\"35621888\"]\n  9 [size=\"41741653\", alpha=\"0.07\", expect_size=\"12522496\"] \n  9 -> 13 [size =\"12522496\"]\n  9 -> 15 [size =\"12522496\"]\n  9 -> 16 [size =\"12522496\"]\n  9 -> 18 [size =\"12522496\"]\n  10 [size=\"78663680\", alpha=\"0.16\", expect_size=\"23599104\"] \n  10 -> 13 [size =\"23599104\"]\n  10 -> 18 [size =\"23599104\"]\n  10 -> 19 [size =\"23599104\"]\n  11 [size=\"18568533\", alpha=\"0.10\", expect_size=\"5570560\"] \n  11 -> 24 [size =\"5570560\"]\n  11 -> 32 [size =\"5570560\"]\n  12 [size=\"64044373\", alpha=\"0.10\", expect_size=\"19213312\"] \n  12 -> 23 [size =\"19213312\"]\n  12 -> 24 [size =\"19213312\"]\n  12 -> 26 [size =\"19213312\"]\n  12 -> 30 [size =\"19213312\"]\n  12 -> 32 [size =\"19213312\"]\n  13 [size=\"45363200\", alpha=\"0.08\", expect_size=\"13608960\"] \n  13 -> 23 [size =\"13608960\"]\n  13 -> 26 [size =\"13608960\"]\n  13 -> 30 [size =\"13608960\"]\n  13 -> 32 [size =\"13608960\"]\n  14 [size=\"131017387\", alpha=\"0.20\", expect_size=\"39305216\"] \n  14 -> 22 [size =\"39305216\"]\n  14 -> 23 [size =\"39305216\"]\n  14 -> 25 [size =\"39305216\"]\n  14 -> 26 [size =\"39305216\"]\n  14 -> 32 [size =\"39305216\"]\n  15 [size=\"153081173\", alpha=\"0.06\", expect_size=\"45924352\"] \n  15 -> 22 [size =\"45924352\"]\n  15 -> 26 [size =\"45924352\"]\n  15 -> 28 [size =\"45924352\"]\n  15 -> 32 [size =\"45924352\"]\n  16 [size=\"118528000\", alpha=\"0.01\", expect_size=\"35558400\"] \n  16 -> 24 [size =\"35558400\"]\n  16 -> 25 [size =\"35558400\"]\n  16 -> 26 [size =\"35558400\"]\n  16 -> 29 [size =\"35558400\"]\n  16 -> 30 [size =\"35558400\"]\n  16 -> 31 [size =\"35558400\"]\n  16 -> 32 [size =\"35558400\"]\n  17 [size=\"90576213\", alpha=\"0.03\", expect_size=\"27172864\"] \n  17 -> 23 [size =\"27172864\"]\n  17 -> 25 [size =\"27172864\"]\n  17 -> 29 [size =\"27172864\"]\n  17 -> 30 [size =\"27172864\"]\n  17 -> 32 [size =\"27172864\"]\n  18 [size=\"126098773\", alpha=\"0.05\", expect_size=\"37829632\"] \n  18 -> 24 [size =\"37829632\"]\n  18 -> 31 [size =\"37829632\"]\n  19 [size=\"25845760\", alpha=\"0.04\", expect_size=\"7753728\"] \n  19 -> 22 [size =\"7753728\"]\n  19 -> 24 [size =\"7753728\"]\n  20 [size=\"81483093\", alpha=\"0.10\", expect_size=\"24444928\"] \n  20 -> 27 [size =\"24444928\"]\n  20 -> 30 [size =\"24444928\"]\n  20 -> 31 [size =\"24444928\"]\n  21 [size=\"52790613\", alpha=\"0.05\", expect_size=\"15837184\"] \n  21 -> 24 [size =\"15837184\"]\n  21 -> 25 [size =\"15837184\"]\n  21 -> 29 [size =\"15837184\"]\n  21 -> 31 [size =\"15837184\"]\n  21 -> 32 [size =\"15837184\"]\n  22 [size=\"129573547\", alpha=\"0.07\", expect_size=\"38872064\"] \n  22 -> 33 [size =\"38872064\"]\n  23 [size=\"50892800\", alpha=\"0.14\", expect_size=\"15267840\"] \n  23 -> 33 [size =\"15267840\"]\n  24 [size=\"114691413\", alpha=\"0.10\", expect_size=\"34407424\"] \n  25 [size=\"114472960\", alpha=\"0.14\", expect_size=\"34341888\"] \n  26 [size=\"158972587\", alpha=\"0.16\", expect_size=\"47691776\"] \n  26 -> 34 [size =\"47691776\"]\n  27 [size=\"166737920\", alpha=\"0.08\", expect_size=\"50021376\"] \n  27 -> 33 [size =\"50021376\"]\n  27 -> 35 [size =\"50021376\"]\n  28 [size=\"35044693\", alpha=\"0.13\", expect_size=\"10513408\"] \n  28 -> 33 [size =\"10513408\"]\n  29 [size=\"75175253\", alpha=\"0.01\", expect_size=\"22552576\"] \n  29 -> 33 [size =\"22552576\"]\n  29 -> 35 [size =\"22552576\"]\n  30 [size=\"102891520\", alpha=\"0.17\", expect_size=\"30867456\"] \n  30 -> 33 [size =\"30867456\"]\n  31 [size=\"20722347\", alpha=\"0.13\", expect_size=\"6216704\"] \n  31 -> 33 [size =\"6216704\"]\n  31 -> 34 [size =\"6216704\"]\n  32 [size=\"63365120\", alpha=\"0.15\", expect_size=\"19009536\"] \n  32 -> 33 [size =\"19009536\"]\n  32 -> 34 [size =\"19009536\"]\n  32 -> 35 [size =\"19009536\"]\n  33 [size=\"122067627\", alpha=\"0.01\", expect_size=\"36620288\"] \n  34 [size=\"76861440\", alpha=\"0.00\", expect_size=\"23058432\"] \n  35 [size=\"158709760\", alpha=\"0.18\", expect_size=\"47612928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153036800\", alpha=\"0.00\", expect_size=\"45911040\"] \n  1 -> 13 [size =\"45911040\"]\n  1 -> 15 [size =\"45911040\"]\n  1 -> 17 [size =\"45911040\"]\n  1 -> 18 [size =\"45911040\"]\n  1 -> 19 [size =\"45911040\"]\n  1 -> 20 [size =\"45911040\"]\n  1 -> 20 [size =\"45911040\"]\n  1 -> 22 [size =\"45911040\"]\n  2 [size=\"80462507\", alpha=\"0.01\", expect_size=\"24138752\"] \n  2 -> 13 [size =\"24138752\"]\n  2 -> 15 [size =\"24138752\"]\n  2 -> 16 [size =\"24138752\"]\n  2 -> 22 [size =\"24138752\"]\n  3 [size=\"58098347\", alpha=\"0.07\", expect_size=\"17429504\"] \n  3 -> 12 [size =\"17429504\"]\n  3 -> 13 [size =\"17429504\"]\n  3 -> 15 [size =\"17429504\"]\n  3 -> 17 [size =\"17429504\"]\n  3 -> 20 [size =\"17429504\"]\n  3 -> 22 [size =\"17429504\"]\n  4 [size=\"107786240\", alpha=\"0.01\", expect_size=\"32335872\"] \n  4 -> 12 [size =\"32335872\"]\n  4 -> 13 [size =\"32335872\"]\n  4 -> 15 [size =\"32335872\"]\n  4 -> 18 [size =\"32335872\"]\n  4 -> 20 [size =\"32335872\"]\n  4 -> 21 [size =\"32335872\"]\n  4 -> 22 [size =\"32335872\"]\n  4 -> 23 [size =\"32335872\"]\n  5 [size=\"131317760\", alpha=\"0.13\", expect_size=\"39395328\"] \n  5 -> 12 [size =\"39395328\"]\n  5 -> 16 [size =\"39395328\"]\n  5 -> 19 [size =\"39395328\"]\n  5 -> 20 [size =\"39395328\"]\n  6 [size=\"63675733\", alpha=\"0.19\", expect_size=\"19102720\"] \n  6 -> 12 [size =\"19102720\"]\n  6 -> 15 [size =\"19102720\"]\n  6 -> 19 [size =\"19102720\"]\n  6 -> 22 [size =\"19102720\"]\n  6 -> 23 [size =\"19102720\"]\n  7 [size=\"155764053\", alpha=\"0.14\", expect_size=\"46729216\"] \n  7 -> 13 [size =\"46729216\"]\n  7 -> 15 [size =\"46729216\"]\n  7 -> 18 [size =\"46729216\"]\n  7 -> 19 [size =\"46729216\"]\n  7 -> 21 [size =\"46729216\"]\n  7 -> 22 [size =\"46729216\"]\n  7 -> 23 [size =\"46729216\"]\n  8 [size=\"112677547\", alpha=\"0.15\", expect_size=\"33803264\"] \n  8 -> 15 [size =\"33803264\"]\n  8 -> 15 [size =\"33803264\"]\n  8 -> 16 [size =\"33803264\"]\n  8 -> 18 [size =\"33803264\"]\n  8 -> 19 [size =\"33803264\"]\n  8 -> 21 [size =\"33803264\"]\n  9 [size=\"149940907\", alpha=\"0.02\", expect_size=\"44982272\"] \n  9 -> 13 [size =\"44982272\"]\n  9 -> 14 [size =\"44982272\"]\n  9 -> 16 [size =\"44982272\"]\n  9 -> 18 [size =\"44982272\"]\n  9 -> 19 [size =\"44982272\"]\n  9 -> 21 [size =\"44982272\"]\n  9 -> 22 [size =\"44982272\"]\n  10 [size=\"63651840\", alpha=\"0.03\", expect_size=\"19095552\"] \n  10 -> 12 [size =\"19095552\"]\n  10 -> 13 [size =\"19095552\"]\n  10 -> 15 [size =\"19095552\"]\n  10 -> 17 [size =\"19095552\"]\n  10 -> 18 [size =\"19095552\"]\n  10 -> 19 [size =\"19095552\"]\n  10 -> 21 [size =\"19095552\"]\n  10 -> 22 [size =\"19095552\"]\n  11 [size=\"25586347\", alpha=\"0.15\", expect_size=\"7675904\"] \n  11 -> 13 [size =\"7675904\"]\n  11 -> 13 [size =\"7675904\"]\n  11 -> 15 [size =\"7675904\"]\n  11 -> 16 [size =\"7675904\"]\n  11 -> 18 [size =\"7675904\"]\n  11 -> 19 [size =\"7675904\"]\n  11 -> 20 [size =\"7675904\"]\n  11 -> 21 [size =\"7675904\"]\n  12 [size=\"27296427\", alpha=\"0.08\", expect_size=\"8188928\"] \n  12 -> 24 [size =\"8188928\"]\n  12 -> 29 [size =\"8188928\"]\n  12 -> 30 [size =\"8188928\"]\n  12 -> 31 [size =\"8188928\"]\n  12 -> 32 [size =\"8188928\"]\n  12 -> 33 [size =\"8188928\"]\n  13 [size=\"35194880\", alpha=\"0.12\", expect_size=\"10558464\"] \n  13 -> 24 [size =\"10558464\"]\n  13 -> 28 [size =\"10558464\"]\n  13 -> 30 [size =\"10558464\"]\n  13 -> 31 [size =\"10558464\"]\n  13 -> 32 [size =\"10558464\"]\n  13 -> 33 [size =\"10558464\"]\n  14 [size=\"89733120\", alpha=\"0.04\", expect_size=\"26919936\"] \n  14 -> 24 [size =\"26919936\"]\n  14 -> 27 [size =\"26919936\"]\n  14 -> 28 [size =\"26919936\"]\n  14 -> 30 [size =\"26919936\"]\n  14 -> 32 [size =\"26919936\"]\n  14 -> 33 [size =\"26919936\"]\n  15 [size=\"99024213\", alpha=\"0.00\", expect_size=\"29707264\"] \n  15 -> 27 [size =\"29707264\"]\n  15 -> 30 [size =\"29707264\"]\n  15 -> 31 [size =\"29707264\"]\n  15 -> 32 [size =\"29707264\"]\n  15 -> 32 [size =\"29707264\"]\n  16 [size=\"46540800\", alpha=\"0.09\", expect_size=\"13962240\"] \n  16 -> 25 [size =\"13962240\"]\n  16 -> 26 [size =\"13962240\"]\n  16 -> 29 [size =\"13962240\"]\n  16 -> 31 [size =\"13962240\"]\n  16 -> 32 [size =\"13962240\"]\n  17 [size=\"35601067\", alpha=\"0.06\", expect_size=\"10680320\"] \n  17 -> 29 [size =\"10680320\"]\n  17 -> 32 [size =\"10680320\"]\n  18 [size=\"143329280\", alpha=\"0.16\", expect_size=\"42998784\"] \n  18 -> 25 [size =\"42998784\"]\n  18 -> 26 [size =\"42998784\"]\n  18 -> 29 [size =\"42998784\"]\n  18 -> 32 [size =\"42998784\"]\n  19 [size=\"104611840\", alpha=\"0.17\", expect_size=\"31383552\"] \n  19 -> 25 [size =\"31383552\"]\n  19 -> 26 [size =\"31383552\"]\n  19 -> 28 [size =\"31383552\"]\n  19 -> 29 [size =\"31383552\"]\n  19 -> 32 [size =\"31383552\"]\n  20 [size=\"118200320\", alpha=\"0.13\", expect_size=\"35460096\"] \n  20 -> 24 [size =\"35460096\"]\n  20 -> 26 [size =\"35460096\"]\n  20 -> 27 [size =\"35460096\"]\n  20 -> 28 [size =\"35460096\"]\n  20 -> 29 [size =\"35460096\"]\n  20 -> 30 [size =\"35460096\"]\n  20 -> 31 [size =\"35460096\"]\n  21 [size=\"142759253\", alpha=\"0.05\", expect_size=\"42827776\"] \n  21 -> 24 [size =\"42827776\"]\n  21 -> 28 [size =\"42827776\"]\n  21 -> 29 [size =\"42827776\"]\n  22 [size=\"106468693\", alpha=\"0.06\", expect_size=\"31940608\"] \n  22 -> 24 [size =\"31940608\"]\n  22 -> 26 [size =\"31940608\"]\n  22 -> 27 [size =\"31940608\"]\n  22 -> 28 [size =\"31940608\"]\n  22 -> 29 [size =\"31940608\"]\n  22 -> 32 [size =\"31940608\"]\n  22 -> 33 [size =\"31940608\"]\n  23 [size=\"168284160\", alpha=\"0.11\", expect_size=\"50485248\"] \n  23 -> 24 [size =\"50485248\"]\n  23 -> 26 [size =\"50485248\"]\n  23 -> 29 [size =\"50485248\"]\n  23 -> 32 [size =\"50485248\"]\n  23 -> 33 [size =\"50485248\"]\n  24 [size=\"109202773\", alpha=\"0.09\", expect_size=\"32760832\"] \n  24 -> 34 [size =\"32760832\"]\n  24 -> 35 [size =\"32760832\"]\n  25 [size=\"141093547\", alpha=\"0.00\", expect_size=\"42328064\"] \n  25 -> 34 [size =\"42328064\"]\n  25 -> 35 [size =\"42328064\"]\n  26 [size=\"144005120\", alpha=\"0.18\", expect_size=\"43201536\"] \n  26 -> 34 [size =\"43201536\"]\n  26 -> 35 [size =\"43201536\"]\n  27 [size=\"54876160\", alpha=\"0.13\", expect_size=\"16462848\"] \n  27 -> 34 [size =\"16462848\"]\n  27 -> 35 [size =\"16462848\"]\n  28 [size=\"101055147\", alpha=\"0.20\", expect_size=\"30316544\"] \n  28 -> 34 [size =\"30316544\"]\n  28 -> 35 [size =\"30316544\"]\n  29 [size=\"71369387\", alpha=\"0.04\", expect_size=\"21410816\"] \n  30 [size=\"50462720\", alpha=\"0.14\", expect_size=\"15138816\"] \n  30 -> 34 [size =\"15138816\"]\n  30 -> 35 [size =\"15138816\"]\n  31 [size=\"149671253\", alpha=\"0.05\", expect_size=\"44901376\"] \n  31 -> 34 [size =\"44901376\"]\n  31 -> 35 [size =\"44901376\"]\n  32 [size=\"32699733\", alpha=\"0.17\", expect_size=\"9809920\"] \n  32 -> 34 [size =\"9809920\"]\n  32 -> 35 [size =\"9809920\"]\n  33 [size=\"77114027\", alpha=\"0.12\", expect_size=\"23134208\"] \n  33 -> 34 [size =\"23134208\"]\n  33 -> 35 [size =\"23134208\"]\n  34 [size=\"166246400\", alpha=\"0.15\", expect_size=\"49873920\"] \n  35 [size=\"75837440\", alpha=\"0.09\", expect_size=\"22751232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33675264\", alpha=\"0.13\", expect_size=\"16837632\"] \n  1 -> 5 [size =\"16837632\"]\n  1 -> 9 [size =\"16837632\"]\n  2 [size=\"96344064\", alpha=\"0.14\", expect_size=\"48172032\"] \n  2 -> 6 [size =\"48172032\"]\n  2 -> 9 [size =\"48172032\"]\n  3 [size=\"11175936\", alpha=\"0.10\", expect_size=\"5587968\"] \n  3 -> 5 [size =\"5587968\"]\n  3 -> 7 [size =\"5587968\"]\n  3 -> 8 [size =\"5587968\"]\n  4 [size=\"59082752\", alpha=\"0.10\", expect_size=\"29541376\"] \n  4 -> 7 [size =\"29541376\"]\n  5 [size=\"77821952\", alpha=\"0.17\", expect_size=\"38910976\"] \n  5 -> 11 [size =\"38910976\"]\n  5 -> 12 [size =\"38910976\"]\n  6 [size=\"73035776\", alpha=\"0.18\", expect_size=\"36517888\"] \n  6 -> 12 [size =\"36517888\"]\n  6 -> 13 [size =\"36517888\"]\n  7 [size=\"37017600\", alpha=\"0.08\", expect_size=\"18508800\"] \n  8 [size=\"79198208\", alpha=\"0.17\", expect_size=\"39599104\"] \n  8 -> 10 [size =\"39599104\"]\n  8 -> 11 [size =\"39599104\"]\n  8 -> 13 [size =\"39599104\"]\n  9 [size=\"63438848\", alpha=\"0.04\", expect_size=\"31719424\"] \n  9 -> 10 [size =\"31719424\"]\n  9 -> 11 [size =\"31719424\"]\n  10 [size=\"78217216\", alpha=\"0.03\", expect_size=\"39108608\"] \n  10 -> 15 [size =\"39108608\"]\n  10 -> 17 [size =\"39108608\"]\n  11 [size=\"47951872\", alpha=\"0.01\", expect_size=\"23975936\"] \n  11 -> 16 [size =\"23975936\"]\n  12 [size=\"14794752\", alpha=\"0.14\", expect_size=\"7397376\"] \n  12 -> 14 [size =\"7397376\"]\n  13 [size=\"78759936\", alpha=\"0.00\", expect_size=\"39379968\"] \n  13 -> 15 [size =\"39379968\"]\n  13 -> 16 [size =\"39379968\"]\n  14 [size=\"29224960\", alpha=\"0.09\", expect_size=\"14612480\"] \n  14 -> 18 [size =\"14612480\"]\n  14 -> 19 [size =\"14612480\"]\n  15 [size=\"77680640\", alpha=\"0.16\", expect_size=\"38840320\"] \n  16 [size=\"62380032\", alpha=\"0.09\", expect_size=\"31190016\"] \n  16 -> 18 [size =\"31190016\"]\n  16 -> 20 [size =\"31190016\"]\n  17 [size=\"52621312\", alpha=\"0.06\", expect_size=\"26310656\"] \n  17 -> 18 [size =\"26310656\"]\n  17 -> 20 [size =\"26310656\"]\n  17 -> 21 [size =\"26310656\"]\n  18 [size=\"89915392\", alpha=\"0.10\", expect_size=\"44957696\"] \n  18 -> 22 [size =\"44957696\"]\n  18 -> 23 [size =\"44957696\"]\n  18 -> 25 [size =\"44957696\"]\n  19 [size=\"77545472\", alpha=\"0.17\", expect_size=\"38772736\"] \n  19 -> 22 [size =\"38772736\"]\n  19 -> 25 [size =\"38772736\"]\n  20 [size=\"96684032\", alpha=\"0.11\", expect_size=\"48342016\"] \n  20 -> 24 [size =\"48342016\"]\n  21 [size=\"17584128\", alpha=\"0.10\", expect_size=\"8792064\"] \n  22 [size=\"23584768\", alpha=\"0.07\", expect_size=\"11792384\"] \n  22 -> 26 [size =\"11792384\"]\n  22 -> 28 [size =\"11792384\"]\n  22 -> 29 [size =\"11792384\"]\n  23 [size=\"88059904\", alpha=\"0.05\", expect_size=\"44029952\"] \n  23 -> 27 [size =\"44029952\"]\n  24 [size=\"88711168\", alpha=\"0.12\", expect_size=\"44355584\"] \n  24 -> 27 [size =\"44355584\"]\n  25 [size=\"36235264\", alpha=\"0.14\", expect_size=\"18117632\"] \n  25 -> 30 [size =\"18117632\"]\n  26 [size=\"15867904\", alpha=\"0.10\", expect_size=\"7933952\"] \n  27 [size=\"60643328\", alpha=\"0.10\", expect_size=\"30321664\"] \n  27 -> 33 [size =\"30321664\"]\n  27 -> 34 [size =\"30321664\"]\n  27 -> 35 [size =\"30321664\"]\n  28 [size=\"87795712\", alpha=\"0.06\", expect_size=\"43897856\"] \n  28 -> 32 [size =\"43897856\"]\n  28 -> 34 [size =\"43897856\"]\n  29 [size=\"42899456\", alpha=\"0.12\", expect_size=\"21449728\"] \n  29 -> 32 [size =\"21449728\"]\n  29 -> 34 [size =\"21449728\"]\n  30 [size=\"28469248\", alpha=\"0.13\", expect_size=\"14234624\"] \n  30 -> 31 [size =\"14234624\"]\n  30 -> 32 [size =\"14234624\"]\n  31 [size=\"80666624\", alpha=\"0.02\", expect_size=\"40333312\"] \n  32 [size=\"33937408\", alpha=\"0.12\", expect_size=\"16968704\"] \n  33 [size=\"68513792\", alpha=\"0.16\", expect_size=\"34256896\"] \n  34 [size=\"90714112\", alpha=\"0.05\", expect_size=\"45357056\"] \n  35 [size=\"54765568\", alpha=\"0.07\", expect_size=\"27382784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24717312\", alpha=\"0.09\", expect_size=\"12358656\"] \n  1 -> 2 [size =\"12358656\"]\n  1 -> 3 [size =\"12358656\"]\n  2 [size=\"24881152\", alpha=\"0.04\", expect_size=\"12440576\"] \n  2 -> 5 [size =\"12440576\"]\n  3 [size=\"41361408\", alpha=\"0.14\", expect_size=\"20680704\"] \n  3 -> 4 [size =\"20680704\"]\n  4 [size=\"10784768\", alpha=\"0.09\", expect_size=\"5392384\"] \n  4 -> 6 [size =\"5392384\"]\n  5 [size=\"16039936\", alpha=\"0.19\", expect_size=\"8019968\"] \n  5 -> 6 [size =\"8019968\"]\n  5 -> 7 [size =\"8019968\"]\n  6 [size=\"85458944\", alpha=\"0.04\", expect_size=\"42729472\"] \n  7 [size=\"43540480\", alpha=\"0.08\", expect_size=\"21770240\"] \n  7 -> 8 [size =\"21770240\"]\n  7 -> 9 [size =\"21770240\"]\n  8 [size=\"49399808\", alpha=\"0.19\", expect_size=\"24699904\"] \n  9 [size=\"81909760\", alpha=\"0.02\", expect_size=\"40954880\"] \n  9 -> 10 [size =\"40954880\"]\n  10 [size=\"40325120\", alpha=\"0.08\", expect_size=\"20162560\"] \n  10 -> 11 [size =\"20162560\"]\n  11 [size=\"97122304\", alpha=\"0.09\", expect_size=\"48561152\"] \n  11 -> 12 [size =\"48561152\"]\n  12 [size=\"43892736\", alpha=\"0.19\", expect_size=\"21946368\"] \n  12 -> 13 [size =\"21946368\"]\n  12 -> 14 [size =\"21946368\"]\n  13 [size=\"61024256\", alpha=\"0.13\", expect_size=\"30512128\"] \n  14 [size=\"34109440\", alpha=\"0.05\", expect_size=\"17054720\"] \n  14 -> 15 [size =\"17054720\"]\n  14 -> 16 [size =\"17054720\"]\n  15 [size=\"75999232\", alpha=\"0.02\", expect_size=\"37999616\"] \n  15 -> 17 [size =\"37999616\"]\n  16 [size=\"69722112\", alpha=\"0.13\", expect_size=\"34861056\"] \n  17 [size=\"89524224\", alpha=\"0.07\", expect_size=\"44762112\"] \n  17 -> 18 [size =\"44762112\"]\n  17 -> 19 [size =\"44762112\"]\n  18 [size=\"31653888\", alpha=\"0.01\", expect_size=\"15826944\"] \n  19 [size=\"29124608\", alpha=\"0.16\", expect_size=\"14562304\"] \n  19 -> 20 [size =\"14562304\"]\n  20 [size=\"37656576\", alpha=\"0.02\", expect_size=\"18828288\"] \n  20 -> 21 [size =\"18828288\"]\n  21 [size=\"73097216\", alpha=\"0.11\", expect_size=\"36548608\"] \n  21 -> 22 [size =\"36548608\"]\n  22 [size=\"20295680\", alpha=\"0.03\", expect_size=\"10147840\"] \n  22 -> 23 [size =\"10147840\"]\n  22 -> 24 [size =\"10147840\"]\n  23 [size=\"17448960\", alpha=\"0.01\", expect_size=\"8724480\"] \n  23 -> 25 [size =\"8724480\"]\n  24 [size=\"80541696\", alpha=\"0.20\", expect_size=\"40270848\"] \n  24 -> 25 [size =\"40270848\"]\n  24 -> 26 [size =\"40270848\"]\n  25 [size=\"11378688\", alpha=\"0.19\", expect_size=\"5689344\"] \n  26 [size=\"20885504\", alpha=\"0.15\", expect_size=\"10442752\"] \n  26 -> 27 [size =\"10442752\"]\n  27 [size=\"82841600\", alpha=\"0.18\", expect_size=\"41420800\"] \n  27 -> 28 [size =\"41420800\"]\n  28 [size=\"22908928\", alpha=\"0.09\", expect_size=\"11454464\"] \n  28 -> 29 [size =\"11454464\"]\n  29 [size=\"28157952\", alpha=\"0.14\", expect_size=\"14078976\"] \n  29 -> 30 [size =\"14078976\"]\n  29 -> 31 [size =\"14078976\"]\n  30 [size=\"104022016\", alpha=\"0.07\", expect_size=\"52011008\"] \n  30 -> 32 [size =\"52011008\"]\n  30 -> 33 [size =\"52011008\"]\n  31 [size=\"18784256\", alpha=\"0.17\", expect_size=\"9392128\"] \n  32 [size=\"69791744\", alpha=\"0.15\", expect_size=\"34895872\"] \n  33 [size=\"82696192\", alpha=\"0.04\", expect_size=\"41348096\"] \n  33 -> 34 [size =\"41348096\"]\n  34 [size=\"88375296\", alpha=\"0.17\", expect_size=\"44187648\"] \n  34 -> 35 [size =\"44187648\"]\n  35 [size=\"87132160\", alpha=\"0.05\", expect_size=\"43566080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81085440\", alpha=\"0.18\", expect_size=\"32434176\"] \n  1 -> 7 [size =\"32434176\"]\n  1 -> 8 [size =\"32434176\"]\n  1 -> 9 [size =\"32434176\"]\n  1 -> 10 [size =\"32434176\"]\n  2 [size=\"106455040\", alpha=\"0.19\", expect_size=\"42582016\"] \n  2 -> 8 [size =\"42582016\"]\n  2 -> 8 [size =\"42582016\"]\n  2 -> 10 [size =\"42582016\"]\n  3 [size=\"104642560\", alpha=\"0.18\", expect_size=\"41857024\"] \n  3 -> 7 [size =\"41857024\"]\n  3 -> 8 [size =\"41857024\"]\n  4 [size=\"124520960\", alpha=\"0.09\", expect_size=\"49808384\"] \n  4 -> 7 [size =\"49808384\"]\n  5 [size=\"64422400\", alpha=\"0.03\", expect_size=\"25768960\"] \n  5 -> 9 [size =\"25768960\"]\n  6 [size=\"93811200\", alpha=\"0.02\", expect_size=\"37524480\"] \n  6 -> 9 [size =\"37524480\"]\n  7 [size=\"15004160\", alpha=\"0.11\", expect_size=\"6001664\"] \n  7 -> 13 [size =\"6001664\"]\n  7 -> 15 [size =\"6001664\"]\n  8 [size=\"96389120\", alpha=\"0.11\", expect_size=\"38555648\"] \n  8 -> 11 [size =\"38555648\"]\n  8 -> 12 [size =\"38555648\"]\n  8 -> 15 [size =\"38555648\"]\n  8 -> 16 [size =\"38555648\"]\n  9 [size=\"82833920\", alpha=\"0.07\", expect_size=\"33133568\"] \n  9 -> 11 [size =\"33133568\"]\n  9 -> 12 [size =\"33133568\"]\n  9 -> 13 [size =\"33133568\"]\n  10 [size=\"28433920\", alpha=\"0.07\", expect_size=\"11373568\"] \n  10 -> 11 [size =\"11373568\"]\n  10 -> 13 [size =\"11373568\"]\n  10 -> 14 [size =\"11373568\"]\n  11 [size=\"82191360\", alpha=\"0.03\", expect_size=\"32876544\"] \n  11 -> 17 [size =\"32876544\"]\n  11 -> 19 [size =\"32876544\"]\n  12 [size=\"69217280\", alpha=\"0.01\", expect_size=\"27686912\"] \n  12 -> 19 [size =\"27686912\"]\n  13 [size=\"63731200\", alpha=\"0.12\", expect_size=\"25492480\"] \n  14 [size=\"51878400\", alpha=\"0.19\", expect_size=\"20751360\"] \n  14 -> 17 [size =\"20751360\"]\n  14 -> 18 [size =\"20751360\"]\n  14 -> 21 [size =\"20751360\"]\n  15 [size=\"103982080\", alpha=\"0.03\", expect_size=\"41592832\"] \n  16 [size=\"121717760\", alpha=\"0.10\", expect_size=\"48687104\"] \n  16 -> 18 [size =\"48687104\"]\n  16 -> 19 [size =\"48687104\"]\n  16 -> 20 [size =\"48687104\"]\n  17 [size=\"16337920\", alpha=\"0.07\", expect_size=\"6535168\"] \n  17 -> 22 [size =\"6535168\"]\n  17 -> 23 [size =\"6535168\"]\n  17 -> 24 [size =\"6535168\"]\n  18 [size=\"79971840\", alpha=\"0.03\", expect_size=\"31988736\"] \n  18 -> 22 [size =\"31988736\"]\n  18 -> 24 [size =\"31988736\"]\n  18 -> 24 [size =\"31988736\"]\n  18 -> 25 [size =\"31988736\"]\n  18 -> 26 [size =\"31988736\"]\n  19 [size=\"27366400\", alpha=\"0.06\", expect_size=\"10946560\"] \n  19 -> 22 [size =\"10946560\"]\n  19 -> 26 [size =\"10946560\"]\n  20 [size=\"66749440\", alpha=\"0.01\", expect_size=\"26699776\"] \n  20 -> 22 [size =\"26699776\"]\n  20 -> 25 [size =\"26699776\"]\n  20 -> 26 [size =\"26699776\"]\n  21 [size=\"105597440\", alpha=\"0.07\", expect_size=\"42238976\"] \n  21 -> 23 [size =\"42238976\"]\n  21 -> 24 [size =\"42238976\"]\n  21 -> 25 [size =\"42238976\"]\n  22 [size=\"126056960\", alpha=\"0.10\", expect_size=\"50422784\"] \n  22 -> 30 [size =\"50422784\"]\n  22 -> 31 [size =\"50422784\"]\n  22 -> 33 [size =\"50422784\"]\n  23 [size=\"13990400\", alpha=\"0.08\", expect_size=\"5596160\"] \n  23 -> 27 [size =\"5596160\"]\n  23 -> 28 [size =\"5596160\"]\n  23 -> 33 [size =\"5596160\"]\n  24 [size=\"83758080\", alpha=\"0.04\", expect_size=\"33503232\"] \n  24 -> 30 [size =\"33503232\"]\n  24 -> 32 [size =\"33503232\"]\n  25 [size=\"78988800\", alpha=\"0.10\", expect_size=\"31595520\"] \n  25 -> 27 [size =\"31595520\"]\n  25 -> 30 [size =\"31595520\"]\n  25 -> 31 [size =\"31595520\"]\n  25 -> 32 [size =\"31595520\"]\n  26 [size=\"97579520\", alpha=\"0.09\", expect_size=\"39031808\"] \n  26 -> 29 [size =\"39031808\"]\n  26 -> 30 [size =\"39031808\"]\n  26 -> 31 [size =\"39031808\"]\n  27 [size=\"37905920\", alpha=\"0.08\", expect_size=\"15162368\"] \n  27 -> 34 [size =\"15162368\"]\n  27 -> 35 [size =\"15162368\"]\n  28 [size=\"78059520\", alpha=\"0.02\", expect_size=\"31223808\"] \n  29 [size=\"94364160\", alpha=\"0.07\", expect_size=\"37745664\"] \n  30 [size=\"128929280\", alpha=\"0.15\", expect_size=\"51571712\"] \n  30 -> 34 [size =\"51571712\"]\n  30 -> 35 [size =\"51571712\"]\n  31 [size=\"15923200\", alpha=\"0.15\", expect_size=\"6369280\"] \n  31 -> 34 [size =\"6369280\"]\n  31 -> 35 [size =\"6369280\"]\n  32 [size=\"59253760\", alpha=\"0.04\", expect_size=\"23701504\"] \n  32 -> 34 [size =\"23701504\"]\n  32 -> 35 [size =\"23701504\"]\n  33 [size=\"116339200\", alpha=\"0.02\", expect_size=\"46535680\"] \n  33 -> 34 [size =\"46535680\"]\n  34 [size=\"42790400\", alpha=\"0.06\", expect_size=\"17116160\"] \n  35 [size=\"67985920\", alpha=\"0.06\", expect_size=\"27194368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156733440\", alpha=\"0.19\", expect_size=\"47020032\"] \n  1 -> 16 [size =\"47020032\"]\n  1 -> 18 [size =\"47020032\"]\n  1 -> 18 [size =\"47020032\"]\n  1 -> 21 [size =\"47020032\"]\n  1 -> 21 [size =\"47020032\"]\n  1 -> 23 [size =\"47020032\"]\n  1 -> 27 [size =\"47020032\"]\n  1 -> 28 [size =\"47020032\"]\n  1 -> 29 [size =\"47020032\"]\n  1 -> 30 [size =\"47020032\"]\n  1 -> 31 [size =\"47020032\"]\n  1 -> 33 [size =\"47020032\"]\n  2 [size=\"86285653\", alpha=\"0.03\", expect_size=\"25885696\"] \n  2 -> 16 [size =\"25885696\"]\n  2 -> 18 [size =\"25885696\"]\n  2 -> 19 [size =\"25885696\"]\n  2 -> 20 [size =\"25885696\"]\n  2 -> 22 [size =\"25885696\"]\n  2 -> 25 [size =\"25885696\"]\n  2 -> 26 [size =\"25885696\"]\n  2 -> 28 [size =\"25885696\"]\n  2 -> 29 [size =\"25885696\"]\n  2 -> 30 [size =\"25885696\"]\n  2 -> 31 [size =\"25885696\"]\n  2 -> 32 [size =\"25885696\"]\n  2 -> 33 [size =\"25885696\"]\n  3 [size=\"89149440\", alpha=\"0.16\", expect_size=\"26744832\"] \n  3 -> 16 [size =\"26744832\"]\n  3 -> 17 [size =\"26744832\"]\n  3 -> 18 [size =\"26744832\"]\n  3 -> 20 [size =\"26744832\"]\n  3 -> 28 [size =\"26744832\"]\n  3 -> 30 [size =\"26744832\"]\n  3 -> 34 [size =\"26744832\"]\n  3 -> 35 [size =\"26744832\"]\n  4 [size=\"127761067\", alpha=\"0.18\", expect_size=\"38328320\"] \n  4 -> 15 [size =\"38328320\"]\n  4 -> 16 [size =\"38328320\"]\n  4 -> 19 [size =\"38328320\"]\n  4 -> 21 [size =\"38328320\"]\n  4 -> 28 [size =\"38328320\"]\n  4 -> 29 [size =\"38328320\"]\n  4 -> 30 [size =\"38328320\"]\n  4 -> 31 [size =\"38328320\"]\n  4 -> 33 [size =\"38328320\"]\n  4 -> 34 [size =\"38328320\"]\n  5 [size=\"21527893\", alpha=\"0.06\", expect_size=\"6458368\"] \n  5 -> 17 [size =\"6458368\"]\n  5 -> 21 [size =\"6458368\"]\n  5 -> 24 [size =\"6458368\"]\n  5 -> 25 [size =\"6458368\"]\n  5 -> 26 [size =\"6458368\"]\n  5 -> 30 [size =\"6458368\"]\n  5 -> 30 [size =\"6458368\"]\n  5 -> 31 [size =\"6458368\"]\n  5 -> 32 [size =\"6458368\"]\n  5 -> 33 [size =\"6458368\"]\n  6 [size=\"158760960\", alpha=\"0.05\", expect_size=\"47628288\"] \n  6 -> 16 [size =\"47628288\"]\n  6 -> 17 [size =\"47628288\"]\n  6 -> 21 [size =\"47628288\"]\n  6 -> 22 [size =\"47628288\"]\n  6 -> 23 [size =\"47628288\"]\n  6 -> 29 [size =\"47628288\"]\n  6 -> 30 [size =\"47628288\"]\n  6 -> 32 [size =\"47628288\"]\n  6 -> 32 [size =\"47628288\"]\n  6 -> 33 [size =\"47628288\"]\n  7 [size=\"71717547\", alpha=\"0.02\", expect_size=\"21515264\"] \n  7 -> 16 [size =\"21515264\"]\n  7 -> 17 [size =\"21515264\"]\n  7 -> 18 [size =\"21515264\"]\n  7 -> 19 [size =\"21515264\"]\n  7 -> 21 [size =\"21515264\"]\n  7 -> 26 [size =\"21515264\"]\n  7 -> 27 [size =\"21515264\"]\n  7 -> 30 [size =\"21515264\"]\n  7 -> 31 [size =\"21515264\"]\n  7 -> 32 [size =\"21515264\"]\n  7 -> 33 [size =\"21515264\"]\n  8 [size=\"30306987\", alpha=\"0.10\", expect_size=\"9092096\"] \n  8 -> 18 [size =\"9092096\"]\n  8 -> 19 [size =\"9092096\"]\n  8 -> 21 [size =\"9092096\"]\n  8 -> 27 [size =\"9092096\"]\n  8 -> 28 [size =\"9092096\"]\n  8 -> 29 [size =\"9092096\"]\n  8 -> 30 [size =\"9092096\"]\n  8 -> 31 [size =\"9092096\"]\n  8 -> 32 [size =\"9092096\"]\n  8 -> 32 [size =\"9092096\"]\n  8 -> 33 [size =\"9092096\"]\n  9 [size=\"59845973\", alpha=\"0.18\", expect_size=\"17953792\"] \n  9 -> 18 [size =\"17953792\"]\n  9 -> 19 [size =\"17953792\"]\n  9 -> 20 [size =\"17953792\"]\n  9 -> 22 [size =\"17953792\"]\n  9 -> 23 [size =\"17953792\"]\n  9 -> 24 [size =\"17953792\"]\n  9 -> 27 [size =\"17953792\"]\n  9 -> 29 [size =\"17953792\"]\n  9 -> 30 [size =\"17953792\"]\n  9 -> 31 [size =\"17953792\"]\n  9 -> 32 [size =\"17953792\"]\n  9 -> 33 [size =\"17953792\"]\n  10 [size=\"85138773\", alpha=\"0.20\", expect_size=\"25541632\"] \n  10 -> 18 [size =\"25541632\"]\n  10 -> 20 [size =\"25541632\"]\n  10 -> 21 [size =\"25541632\"]\n  10 -> 22 [size =\"25541632\"]\n  10 -> 24 [size =\"25541632\"]\n  10 -> 29 [size =\"25541632\"]\n  10 -> 30 [size =\"25541632\"]\n  10 -> 31 [size =\"25541632\"]\n  10 -> 33 [size =\"25541632\"]\n  10 -> 34 [size =\"25541632\"]\n  10 -> 35 [size =\"25541632\"]\n  11 [size=\"35491840\", alpha=\"0.14\", expect_size=\"10647552\"] \n  11 -> 18 [size =\"10647552\"]\n  11 -> 20 [size =\"10647552\"]\n  11 -> 21 [size =\"10647552\"]\n  11 -> 27 [size =\"10647552\"]\n  11 -> 29 [size =\"10647552\"]\n  11 -> 32 [size =\"10647552\"]\n  11 -> 33 [size =\"10647552\"]\n  11 -> 34 [size =\"10647552\"]\n  11 -> 35 [size =\"10647552\"]\n  12 [size=\"29798400\", alpha=\"0.07\", expect_size=\"8939520\"] \n  12 -> 16 [size =\"8939520\"]\n  12 -> 17 [size =\"8939520\"]\n  12 -> 18 [size =\"8939520\"]\n  12 -> 23 [size =\"8939520\"]\n  12 -> 27 [size =\"8939520\"]\n  12 -> 28 [size =\"8939520\"]\n  12 -> 30 [size =\"8939520\"]\n  12 -> 31 [size =\"8939520\"]\n  12 -> 32 [size =\"8939520\"]\n  12 -> 33 [size =\"8939520\"]\n  12 -> 34 [size =\"8939520\"]\n  12 -> 35 [size =\"8939520\"]\n  13 [size=\"56244907\", alpha=\"0.18\", expect_size=\"16873472\"] \n  13 -> 16 [size =\"16873472\"]\n  13 -> 17 [size =\"16873472\"]\n  13 -> 18 [size =\"16873472\"]\n  13 -> 19 [size =\"16873472\"]\n  13 -> 21 [size =\"16873472\"]\n  13 -> 23 [size =\"16873472\"]\n  13 -> 27 [size =\"16873472\"]\n  13 -> 28 [size =\"16873472\"]\n  13 -> 31 [size =\"16873472\"]\n  13 -> 33 [size =\"16873472\"]\n  13 -> 35 [size =\"16873472\"]\n  14 [size=\"26746880\", alpha=\"0.13\", expect_size=\"8024064\"] \n  14 -> 16 [size =\"8024064\"]\n  14 -> 17 [size =\"8024064\"]\n  14 -> 18 [size =\"8024064\"]\n  14 -> 19 [size =\"8024064\"]\n  14 -> 21 [size =\"8024064\"]\n  14 -> 22 [size =\"8024064\"]\n  14 -> 23 [size =\"8024064\"]\n  14 -> 25 [size =\"8024064\"]\n  14 -> 26 [size =\"8024064\"]\n  14 -> 27 [size =\"8024064\"]\n  14 -> 28 [size =\"8024064\"]\n  14 -> 30 [size =\"8024064\"]\n  14 -> 31 [size =\"8024064\"]\n  14 -> 33 [size =\"8024064\"]\n  15 [size=\"165488640\", alpha=\"0.10\", expect_size=\"49646592\"] \n  16 [size=\"57081173\", alpha=\"0.16\", expect_size=\"17124352\"] \n  17 [size=\"98338133\", alpha=\"0.02\", expect_size=\"29501440\"] \n  18 [size=\"113117867\", alpha=\"0.13\", expect_size=\"33935360\"] \n  19 [size=\"31255893\", alpha=\"0.12\", expect_size=\"9376768\"] \n  20 [size=\"172274347\", alpha=\"0.17\", expect_size=\"51682304\"] \n  21 [size=\"172130987\", alpha=\"0.01\", expect_size=\"51639296\"] \n  22 [size=\"121623893\", alpha=\"0.13\", expect_size=\"36487168\"] \n  23 [size=\"20548267\", alpha=\"0.14\", expect_size=\"6164480\"] \n  24 [size=\"164864000\", alpha=\"0.10\", expect_size=\"49459200\"] \n  25 [size=\"113660587\", alpha=\"0.06\", expect_size=\"34098176\"] \n  26 [size=\"34092373\", alpha=\"0.19\", expect_size=\"10227712\"] \n  27 [size=\"163580587\", alpha=\"0.00\", expect_size=\"49074176\"] \n  28 [size=\"19384320\", alpha=\"0.03\", expect_size=\"5815296\"] \n  29 [size=\"121685333\", alpha=\"0.10\", expect_size=\"36505600\"] \n  30 [size=\"55992320\", alpha=\"0.07\", expect_size=\"16797696\"] \n  31 [size=\"35566933\", alpha=\"0.05\", expect_size=\"10670080\"] \n  32 [size=\"42383360\", alpha=\"0.06\", expect_size=\"12715008\"] \n  33 [size=\"145250987\", alpha=\"0.11\", expect_size=\"43575296\"] \n  34 [size=\"101270187\", alpha=\"0.17\", expect_size=\"30381056\"] \n  35 [size=\"20732587\", alpha=\"0.02\", expect_size=\"6219776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173274453\", alpha=\"0.17\", expect_size=\"51982336\"] \n  1 -> 32 [size =\"51982336\"]\n  1 -> 33 [size =\"51982336\"]\n  2 [size=\"155736747\", alpha=\"0.15\", expect_size=\"46721024\"] \n  2 -> 32 [size =\"46721024\"]\n  3 [size=\"106605227\", alpha=\"0.17\", expect_size=\"31981568\"] \n  3 -> 32 [size =\"31981568\"]\n  3 -> 33 [size =\"31981568\"]\n  3 -> 34 [size =\"31981568\"]\n  4 [size=\"100051627\", alpha=\"0.10\", expect_size=\"30015488\"] \n  4 -> 32 [size =\"30015488\"]\n  4 -> 35 [size =\"30015488\"]\n  5 [size=\"18903040\", alpha=\"0.13\", expect_size=\"5670912\"] \n  5 -> 32 [size =\"5670912\"]\n  5 -> 33 [size =\"5670912\"]\n  5 -> 34 [size =\"5670912\"]\n  5 -> 35 [size =\"5670912\"]\n  6 [size=\"84616533\", alpha=\"0.12\", expect_size=\"25384960\"] \n  6 -> 32 [size =\"25384960\"]\n  6 -> 34 [size =\"25384960\"]\n  6 -> 35 [size =\"25384960\"]\n  7 [size=\"173124267\", alpha=\"0.20\", expect_size=\"51937280\"] \n  7 -> 32 [size =\"51937280\"]\n  7 -> 34 [size =\"51937280\"]\n  8 [size=\"147025920\", alpha=\"0.19\", expect_size=\"44107776\"] \n  8 -> 32 [size =\"44107776\"]\n  8 -> 33 [size =\"44107776\"]\n  8 -> 34 [size =\"44107776\"]\n  8 -> 35 [size =\"44107776\"]\n  9 [size=\"125757440\", alpha=\"0.11\", expect_size=\"37727232\"] \n  9 -> 32 [size =\"37727232\"]\n  9 -> 33 [size =\"37727232\"]\n  9 -> 34 [size =\"37727232\"]\n  9 -> 35 [size =\"37727232\"]\n  10 [size=\"26422613\", alpha=\"0.08\", expect_size=\"7926784\"] \n  10 -> 32 [size =\"7926784\"]\n  10 -> 33 [size =\"7926784\"]\n  10 -> 34 [size =\"7926784\"]\n  10 -> 35 [size =\"7926784\"]\n  11 [size=\"27951787\", alpha=\"0.04\", expect_size=\"8385536\"] \n  11 -> 32 [size =\"8385536\"]\n  11 -> 33 [size =\"8385536\"]\n  11 -> 34 [size =\"8385536\"]\n  12 [size=\"158621013\", alpha=\"0.12\", expect_size=\"47586304\"] \n  12 -> 32 [size =\"47586304\"]\n  12 -> 33 [size =\"47586304\"]\n  12 -> 34 [size =\"47586304\"]\n  13 [size=\"120350720\", alpha=\"0.07\", expect_size=\"36105216\"] \n  13 -> 32 [size =\"36105216\"]\n  13 -> 34 [size =\"36105216\"]\n  13 -> 34 [size =\"36105216\"]\n  14 [size=\"93508267\", alpha=\"0.08\", expect_size=\"28052480\"] \n  14 -> 32 [size =\"28052480\"]\n  14 -> 33 [size =\"28052480\"]\n  14 -> 34 [size =\"28052480\"]\n  14 -> 35 [size =\"28052480\"]\n  15 [size=\"169465173\", alpha=\"0.02\", expect_size=\"50839552\"] \n  15 -> 32 [size =\"50839552\"]\n  15 -> 34 [size =\"50839552\"]\n  15 -> 34 [size =\"50839552\"]\n  15 -> 35 [size =\"50839552\"]\n  16 [size=\"117630293\", alpha=\"0.07\", expect_size=\"35289088\"] \n  16 -> 32 [size =\"35289088\"]\n  16 -> 34 [size =\"35289088\"]\n  17 [size=\"51804160\", alpha=\"0.14\", expect_size=\"15541248\"] \n  17 -> 32 [size =\"15541248\"]\n  17 -> 34 [size =\"15541248\"]\n  17 -> 35 [size =\"15541248\"]\n  18 [size=\"50855253\", alpha=\"0.04\", expect_size=\"15256576\"] \n  18 -> 32 [size =\"15256576\"]\n  18 -> 33 [size =\"15256576\"]\n  18 -> 35 [size =\"15256576\"]\n  19 [size=\"40021333\", alpha=\"0.01\", expect_size=\"12006400\"] \n  19 -> 32 [size =\"12006400\"]\n  19 -> 34 [size =\"12006400\"]\n  20 [size=\"130133333\", alpha=\"0.01\", expect_size=\"39040000\"] \n  20 -> 32 [size =\"39040000\"]\n  20 -> 33 [size =\"39040000\"]\n  20 -> 34 [size =\"39040000\"]\n  20 -> 35 [size =\"39040000\"]\n  21 [size=\"34228907\", alpha=\"0.01\", expect_size=\"10268672\"] \n  21 -> 32 [size =\"10268672\"]\n  21 -> 34 [size =\"10268672\"]\n  21 -> 35 [size =\"10268672\"]\n  22 [size=\"66942293\", alpha=\"0.19\", expect_size=\"20082688\"] \n  22 -> 32 [size =\"20082688\"]\n  22 -> 34 [size =\"20082688\"]\n  22 -> 35 [size =\"20082688\"]\n  23 [size=\"162245973\", alpha=\"0.08\", expect_size=\"48673792\"] \n  23 -> 32 [size =\"48673792\"]\n  23 -> 33 [size =\"48673792\"]\n  23 -> 34 [size =\"48673792\"]\n  23 -> 35 [size =\"48673792\"]\n  24 [size=\"57255253\", alpha=\"0.08\", expect_size=\"17176576\"] \n  24 -> 33 [size =\"17176576\"]\n  24 -> 34 [size =\"17176576\"]\n  24 -> 34 [size =\"17176576\"]\n  24 -> 35 [size =\"17176576\"]\n  25 [size=\"118408533\", alpha=\"0.07\", expect_size=\"35522560\"] \n  25 -> 33 [size =\"35522560\"]\n  25 -> 34 [size =\"35522560\"]\n  26 [size=\"137936213\", alpha=\"0.15\", expect_size=\"41380864\"] \n  26 -> 32 [size =\"41380864\"]\n  26 -> 33 [size =\"41380864\"]\n  26 -> 34 [size =\"41380864\"]\n  27 [size=\"33481387\", alpha=\"0.04\", expect_size=\"10044416\"] \n  27 -> 33 [size =\"10044416\"]\n  27 -> 34 [size =\"10044416\"]\n  27 -> 35 [size =\"10044416\"]\n  28 [size=\"143633067\", alpha=\"0.08\", expect_size=\"43089920\"] \n  28 -> 32 [size =\"43089920\"]\n  28 -> 33 [size =\"43089920\"]\n  28 -> 35 [size =\"43089920\"]\n  29 [size=\"21336747\", alpha=\"0.06\", expect_size=\"6401024\"] \n  29 -> 32 [size =\"6401024\"]\n  29 -> 33 [size =\"6401024\"]\n  29 -> 35 [size =\"6401024\"]\n  30 [size=\"27787947\", alpha=\"0.06\", expect_size=\"8336384\"] \n  30 -> 32 [size =\"8336384\"]\n  30 -> 33 [size =\"8336384\"]\n  30 -> 35 [size =\"8336384\"]\n  31 [size=\"36648960\", alpha=\"0.07\", expect_size=\"10994688\"] \n  31 -> 32 [size =\"10994688\"]\n  31 -> 34 [size =\"10994688\"]\n  31 -> 35 [size =\"10994688\"]\n  32 [size=\"46434987\", alpha=\"0.05\", expect_size=\"13930496\"] \n  33 [size=\"38123520\", alpha=\"0.17\", expect_size=\"11437056\"] \n  34 [size=\"100846933\", alpha=\"0.18\", expect_size=\"30254080\"] \n  35 [size=\"159894187\", alpha=\"0.19\", expect_size=\"47968256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89562453\", alpha=\"0.06\", expect_size=\"26868736\"] \n  1 -> 14 [size =\"26868736\"]\n  1 -> 15 [size =\"26868736\"]\n  1 -> 19 [size =\"26868736\"]\n  1 -> 20 [size =\"26868736\"]\n  1 -> 22 [size =\"26868736\"]\n  2 [size=\"36406613\", alpha=\"0.04\", expect_size=\"10921984\"] \n  2 -> 15 [size =\"10921984\"]\n  2 -> 16 [size =\"10921984\"]\n  2 -> 18 [size =\"10921984\"]\n  2 -> 19 [size =\"10921984\"]\n  2 -> 21 [size =\"10921984\"]\n  2 -> 24 [size =\"10921984\"]\n  3 [size=\"79793493\", alpha=\"0.07\", expect_size=\"23938048\"] \n  3 -> 13 [size =\"23938048\"]\n  3 -> 15 [size =\"23938048\"]\n  3 -> 24 [size =\"23938048\"]\n  4 [size=\"73953280\", alpha=\"0.10\", expect_size=\"22185984\"] \n  4 -> 13 [size =\"22185984\"]\n  4 -> 14 [size =\"22185984\"]\n  4 -> 20 [size =\"22185984\"]\n  5 [size=\"41786027\", alpha=\"0.19\", expect_size=\"12535808\"] \n  5 -> 14 [size =\"12535808\"]\n  5 -> 20 [size =\"12535808\"]\n  6 [size=\"111513600\", alpha=\"0.13\", expect_size=\"33454080\"] \n  6 -> 14 [size =\"33454080\"]\n  6 -> 15 [size =\"33454080\"]\n  6 -> 17 [size =\"33454080\"]\n  6 -> 19 [size =\"33454080\"]\n  6 -> 20 [size =\"33454080\"]\n  7 [size=\"170373120\", alpha=\"0.11\", expect_size=\"51111936\"] \n  7 -> 13 [size =\"51111936\"]\n  7 -> 18 [size =\"51111936\"]\n  7 -> 19 [size =\"51111936\"]\n  7 -> 20 [size =\"51111936\"]\n  8 [size=\"171608747\", alpha=\"0.02\", expect_size=\"51482624\"] \n  8 -> 14 [size =\"51482624\"]\n  8 -> 16 [size =\"51482624\"]\n  8 -> 17 [size =\"51482624\"]\n  8 -> 22 [size =\"51482624\"]\n  9 [size=\"128713387\", alpha=\"0.04\", expect_size=\"38614016\"] \n  9 -> 13 [size =\"38614016\"]\n  9 -> 14 [size =\"38614016\"]\n  9 -> 16 [size =\"38614016\"]\n  9 -> 19 [size =\"38614016\"]\n  9 -> 20 [size =\"38614016\"]\n  10 [size=\"134475093\", alpha=\"0.00\", expect_size=\"40342528\"] \n  10 -> 13 [size =\"40342528\"]\n  10 -> 15 [size =\"40342528\"]\n  10 -> 19 [size =\"40342528\"]\n  10 -> 19 [size =\"40342528\"]\n  10 -> 20 [size =\"40342528\"]\n  10 -> 24 [size =\"40342528\"]\n  11 [size=\"149288960\", alpha=\"0.14\", expect_size=\"44786688\"] \n  11 -> 13 [size =\"44786688\"]\n  11 -> 14 [size =\"44786688\"]\n  11 -> 16 [size =\"44786688\"]\n  11 -> 17 [size =\"44786688\"]\n  11 -> 19 [size =\"44786688\"]\n  11 -> 20 [size =\"44786688\"]\n  11 -> 22 [size =\"44786688\"]\n  11 -> 23 [size =\"44786688\"]\n  12 [size=\"42117120\", alpha=\"0.11\", expect_size=\"12635136\"] \n  12 -> 17 [size =\"12635136\"]\n  12 -> 19 [size =\"12635136\"]\n  12 -> 20 [size =\"12635136\"]\n  13 [size=\"69652480\", alpha=\"0.18\", expect_size=\"20895744\"] \n  13 -> 26 [size =\"20895744\"]\n  13 -> 28 [size =\"20895744\"]\n  13 -> 33 [size =\"20895744\"]\n  13 -> 35 [size =\"20895744\"]\n  14 [size=\"124016640\", alpha=\"0.10\", expect_size=\"37204992\"] \n  14 -> 25 [size =\"37204992\"]\n  14 -> 26 [size =\"37204992\"]\n  14 -> 28 [size =\"37204992\"]\n  14 -> 34 [size =\"37204992\"]\n  14 -> 35 [size =\"37204992\"]\n  15 [size=\"43557547\", alpha=\"0.10\", expect_size=\"13067264\"] \n  15 -> 25 [size =\"13067264\"]\n  15 -> 27 [size =\"13067264\"]\n  15 -> 28 [size =\"13067264\"]\n  15 -> 31 [size =\"13067264\"]\n  15 -> 32 [size =\"13067264\"]\n  15 -> 33 [size =\"13067264\"]\n  15 -> 35 [size =\"13067264\"]\n  16 [size=\"35819520\", alpha=\"0.18\", expect_size=\"10745856\"] \n  16 -> 26 [size =\"10745856\"]\n  16 -> 28 [size =\"10745856\"]\n  16 -> 30 [size =\"10745856\"]\n  16 -> 35 [size =\"10745856\"]\n  17 [size=\"134731093\", alpha=\"0.06\", expect_size=\"40419328\"] \n  17 -> 29 [size =\"40419328\"]\n  18 [size=\"65443840\", alpha=\"0.04\", expect_size=\"19633152\"] \n  18 -> 26 [size =\"19633152\"]\n  18 -> 28 [size =\"19633152\"]\n  18 -> 29 [size =\"19633152\"]\n  18 -> 30 [size =\"19633152\"]\n  18 -> 33 [size =\"19633152\"]\n  18 -> 35 [size =\"19633152\"]\n  19 [size=\"81250987\", alpha=\"0.19\", expect_size=\"24375296\"] \n  19 -> 25 [size =\"24375296\"]\n  19 -> 30 [size =\"24375296\"]\n  19 -> 34 [size =\"24375296\"]\n  19 -> 35 [size =\"24375296\"]\n  20 [size=\"108933120\", alpha=\"0.05\", expect_size=\"32679936\"] \n  20 -> 25 [size =\"32679936\"]\n  20 -> 27 [size =\"32679936\"]\n  20 -> 28 [size =\"32679936\"]\n  20 -> 29 [size =\"32679936\"]\n  20 -> 30 [size =\"32679936\"]\n  20 -> 32 [size =\"32679936\"]\n  20 -> 33 [size =\"32679936\"]\n  20 -> 35 [size =\"32679936\"]\n  21 [size=\"110609067\", alpha=\"0.00\", expect_size=\"33182720\"] \n  21 -> 25 [size =\"33182720\"]\n  21 -> 26 [size =\"33182720\"]\n  21 -> 27 [size =\"33182720\"]\n  21 -> 28 [size =\"33182720\"]\n  21 -> 30 [size =\"33182720\"]\n  21 -> 31 [size =\"33182720\"]\n  21 -> 32 [size =\"33182720\"]\n  21 -> 33 [size =\"33182720\"]\n  21 -> 34 [size =\"33182720\"]\n  21 -> 35 [size =\"33182720\"]\n  22 [size=\"64720213\", alpha=\"0.18\", expect_size=\"19416064\"] \n  22 -> 25 [size =\"19416064\"]\n  22 -> 30 [size =\"19416064\"]\n  22 -> 31 [size =\"19416064\"]\n  22 -> 32 [size =\"19416064\"]\n  22 -> 34 [size =\"19416064\"]\n  23 [size=\"151811413\", alpha=\"0.03\", expect_size=\"45543424\"] \n  23 -> 25 [size =\"45543424\"]\n  23 -> 28 [size =\"45543424\"]\n  23 -> 30 [size =\"45543424\"]\n  23 -> 32 [size =\"45543424\"]\n  23 -> 33 [size =\"45543424\"]\n  24 [size=\"136198827\", alpha=\"0.16\", expect_size=\"40859648\"] \n  24 -> 25 [size =\"40859648\"]\n  24 -> 26 [size =\"40859648\"]\n  24 -> 30 [size =\"40859648\"]\n  24 -> 31 [size =\"40859648\"]\n  24 -> 32 [size =\"40859648\"]\n  25 [size=\"55364267\", alpha=\"0.11\", expect_size=\"16609280\"] \n  26 [size=\"136949760\", alpha=\"0.19\", expect_size=\"41084928\"] \n  27 [size=\"124852907\", alpha=\"0.06\", expect_size=\"37455872\"] \n  28 [size=\"18234027\", alpha=\"0.12\", expect_size=\"5470208\"] \n  29 [size=\"51531093\", alpha=\"0.13\", expect_size=\"15459328\"] \n  30 [size=\"46793387\", alpha=\"0.09\", expect_size=\"14038016\"] \n  31 [size=\"88084480\", alpha=\"0.01\", expect_size=\"26425344\"] \n  32 [size=\"90207573\", alpha=\"0.17\", expect_size=\"27062272\"] \n  33 [size=\"72093013\", alpha=\"0.19\", expect_size=\"21627904\"] \n  34 [size=\"96061440\", alpha=\"0.15\", expect_size=\"28818432\"] \n  35 [size=\"61300053\", alpha=\"0.14\", expect_size=\"18390016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55347200\", alpha=\"0.12\", expect_size=\"22138880\"] \n  1 -> 2 [size =\"22138880\"]\n  2 [size=\"66752000\", alpha=\"0.10\", expect_size=\"26700800\"] \n  2 -> 3 [size =\"26700800\"]\n  2 -> 4 [size =\"26700800\"]\n  3 [size=\"96599040\", alpha=\"0.04\", expect_size=\"38639616\"] \n  3 -> 5 [size =\"38639616\"]\n  3 -> 6 [size =\"38639616\"]\n  4 [size=\"49484800\", alpha=\"0.19\", expect_size=\"19793920\"] \n  4 -> 5 [size =\"19793920\"]\n  4 -> 6 [size =\"19793920\"]\n  5 [size=\"31178240\", alpha=\"0.05\", expect_size=\"12471296\"] \n  5 -> 7 [size =\"12471296\"]\n  6 [size=\"39244800\", alpha=\"0.08\", expect_size=\"15697920\"] \n  7 [size=\"117696000\", alpha=\"0.18\", expect_size=\"47078400\"] \n  7 -> 8 [size =\"47078400\"]\n  7 -> 9 [size =\"47078400\"]\n  8 [size=\"67891200\", alpha=\"0.18\", expect_size=\"27156480\"] \n  8 -> 10 [size =\"27156480\"]\n  8 -> 11 [size =\"27156480\"]\n  9 [size=\"66603520\", alpha=\"0.03\", expect_size=\"26641408\"] \n  9 -> 11 [size =\"26641408\"]\n  10 [size=\"76789760\", alpha=\"0.09\", expect_size=\"30715904\"] \n  10 -> 12 [size =\"30715904\"]\n  11 [size=\"129418240\", alpha=\"0.10\", expect_size=\"51767296\"] \n  11 -> 12 [size =\"51767296\"]\n  12 [size=\"83020800\", alpha=\"0.16\", expect_size=\"33208320\"] \n  12 -> 13 [size =\"33208320\"]\n  13 [size=\"22400000\", alpha=\"0.06\", expect_size=\"8960000\"] \n  13 -> 14 [size =\"8960000\"]\n  14 [size=\"44544000\", alpha=\"0.17\", expect_size=\"17817600\"] \n  14 -> 15 [size =\"17817600\"]\n  14 -> 16 [size =\"17817600\"]\n  15 [size=\"38714880\", alpha=\"0.17\", expect_size=\"15485952\"] \n  16 [size=\"67015680\", alpha=\"0.14\", expect_size=\"26806272\"] \n  16 -> 17 [size =\"26806272\"]\n  17 [size=\"115773440\", alpha=\"0.15\", expect_size=\"46309376\"] \n  17 -> 18 [size =\"46309376\"]\n  17 -> 19 [size =\"46309376\"]\n  18 [size=\"102789120\", alpha=\"0.04\", expect_size=\"41115648\"] \n  18 -> 20 [size =\"41115648\"]\n  19 [size=\"88084480\", alpha=\"0.18\", expect_size=\"35233792\"] \n  19 -> 20 [size =\"35233792\"]\n  20 [size=\"106529280\", alpha=\"0.08\", expect_size=\"42611712\"] \n  20 -> 21 [size =\"42611712\"]\n  21 [size=\"43671040\", alpha=\"0.05\", expect_size=\"17468416\"] \n  21 -> 22 [size =\"17468416\"]\n  21 -> 23 [size =\"17468416\"]\n  22 [size=\"102443520\", alpha=\"0.12\", expect_size=\"40977408\"] \n  22 -> 24 [size =\"40977408\"]\n  23 [size=\"80650240\", alpha=\"0.12\", expect_size=\"32260096\"] \n  23 -> 24 [size =\"32260096\"]\n  24 [size=\"115553280\", alpha=\"0.19\", expect_size=\"46221312\"] \n  24 -> 25 [size =\"46221312\"]\n  24 -> 26 [size =\"46221312\"]\n  25 [size=\"97313280\", alpha=\"0.08\", expect_size=\"38925312\"] \n  25 -> 27 [size =\"38925312\"]\n  25 -> 28 [size =\"38925312\"]\n  26 [size=\"77765120\", alpha=\"0.03\", expect_size=\"31106048\"] \n  26 -> 27 [size =\"31106048\"]\n  26 -> 28 [size =\"31106048\"]\n  27 [size=\"41628160\", alpha=\"0.14\", expect_size=\"16651264\"] \n  28 [size=\"129776640\", alpha=\"0.16\", expect_size=\"51910656\"] \n  28 -> 29 [size =\"51910656\"]\n  29 [size=\"35750400\", alpha=\"0.06\", expect_size=\"14300160\"] \n  29 -> 30 [size =\"14300160\"]\n  30 [size=\"23239680\", alpha=\"0.07\", expect_size=\"9295872\"] \n  30 -> 31 [size =\"9295872\"]\n  31 [size=\"70208000\", alpha=\"0.08\", expect_size=\"28083200\"] \n  31 -> 32 [size =\"28083200\"]\n  31 -> 33 [size =\"28083200\"]\n  32 [size=\"100933120\", alpha=\"0.00\", expect_size=\"40373248\"] \n  32 -> 34 [size =\"40373248\"]\n  33 [size=\"51100160\", alpha=\"0.15\", expect_size=\"20440064\"] \n  33 -> 34 [size =\"20440064\"]\n  34 [size=\"122160640\", alpha=\"0.14\", expect_size=\"48864256\"] \n  34 -> 35 [size =\"48864256\"]\n  35 [size=\"114565120\", alpha=\"0.18\", expect_size=\"45826048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15110144\", alpha=\"0.16\", expect_size=\"7555072\"] \n  1 -> 2 [size =\"7555072\"]\n  1 -> 3 [size =\"7555072\"]\n  2 [size=\"99758080\", alpha=\"0.03\", expect_size=\"49879040\"] \n  2 -> 4 [size =\"49879040\"]\n  3 [size=\"99129344\", alpha=\"0.12\", expect_size=\"49564672\"] \n  3 -> 4 [size =\"49564672\"]\n  3 -> 5 [size =\"49564672\"]\n  4 [size=\"98074624\", alpha=\"0.07\", expect_size=\"49037312\"] \n  5 [size=\"44834816\", alpha=\"0.18\", expect_size=\"22417408\"] \n  5 -> 6 [size =\"22417408\"]\n  5 -> 7 [size =\"22417408\"]\n  6 [size=\"94666752\", alpha=\"0.03\", expect_size=\"47333376\"] \n  6 -> 8 [size =\"47333376\"]\n  7 [size=\"36888576\", alpha=\"0.12\", expect_size=\"18444288\"] \n  7 -> 8 [size =\"18444288\"]\n  8 [size=\"17602560\", alpha=\"0.02\", expect_size=\"8801280\"] \n  8 -> 9 [size =\"8801280\"]\n  8 -> 10 [size =\"8801280\"]\n  9 [size=\"89583616\", alpha=\"0.19\", expect_size=\"44791808\"] \n  9 -> 11 [size =\"44791808\"]\n  9 -> 12 [size =\"44791808\"]\n  10 [size=\"47669248\", alpha=\"0.03\", expect_size=\"23834624\"] \n  10 -> 12 [size =\"23834624\"]\n  11 [size=\"20766720\", alpha=\"0.01\", expect_size=\"10383360\"] \n  11 -> 13 [size =\"10383360\"]\n  11 -> 14 [size =\"10383360\"]\n  12 [size=\"97380352\", alpha=\"0.11\", expect_size=\"48690176\"] \n  12 -> 13 [size =\"48690176\"]\n  12 -> 14 [size =\"48690176\"]\n  13 [size=\"15634432\", alpha=\"0.05\", expect_size=\"7817216\"] \n  14 [size=\"72450048\", alpha=\"0.15\", expect_size=\"36225024\"] \n  14 -> 15 [size =\"36225024\"]\n  15 [size=\"104632320\", alpha=\"0.20\", expect_size=\"52316160\"] \n  15 -> 16 [size =\"52316160\"]\n  16 [size=\"95725568\", alpha=\"0.12\", expect_size=\"47862784\"] \n  16 -> 17 [size =\"47862784\"]\n  17 [size=\"14624768\", alpha=\"0.14\", expect_size=\"7312384\"] \n  17 -> 18 [size =\"7312384\"]\n  18 [size=\"71716864\", alpha=\"0.06\", expect_size=\"35858432\"] \n  18 -> 19 [size =\"35858432\"]\n  19 [size=\"80979968\", alpha=\"0.17\", expect_size=\"40489984\"] \n  19 -> 20 [size =\"40489984\"]\n  19 -> 21 [size =\"40489984\"]\n  20 [size=\"78061568\", alpha=\"0.07\", expect_size=\"39030784\"] \n  20 -> 22 [size =\"39030784\"]\n  21 [size=\"93018112\", alpha=\"0.18\", expect_size=\"46509056\"] \n  22 [size=\"98441216\", alpha=\"0.08\", expect_size=\"49220608\"] \n  22 -> 23 [size =\"49220608\"]\n  23 [size=\"55754752\", alpha=\"0.17\", expect_size=\"27877376\"] \n  23 -> 24 [size =\"27877376\"]\n  23 -> 25 [size =\"27877376\"]\n  24 [size=\"80015360\", alpha=\"0.04\", expect_size=\"40007680\"] \n  24 -> 26 [size =\"40007680\"]\n  25 [size=\"58474496\", alpha=\"0.19\", expect_size=\"29237248\"] \n  25 -> 26 [size =\"29237248\"]\n  26 [size=\"57452544\", alpha=\"0.11\", expect_size=\"28726272\"] \n  26 -> 27 [size =\"28726272\"]\n  26 -> 28 [size =\"28726272\"]\n  27 [size=\"20154368\", alpha=\"0.09\", expect_size=\"10077184\"] \n  27 -> 29 [size =\"10077184\"]\n  27 -> 30 [size =\"10077184\"]\n  28 [size=\"87658496\", alpha=\"0.09\", expect_size=\"43829248\"] \n  28 -> 29 [size =\"43829248\"]\n  28 -> 30 [size =\"43829248\"]\n  29 [size=\"19986432\", alpha=\"0.05\", expect_size=\"9993216\"] \n  30 [size=\"101281792\", alpha=\"0.09\", expect_size=\"50640896\"] \n  30 -> 31 [size =\"50640896\"]\n  30 -> 32 [size =\"50640896\"]\n  31 [size=\"41091072\", alpha=\"0.15\", expect_size=\"20545536\"] \n  31 -> 33 [size =\"20545536\"]\n  32 [size=\"32780288\", alpha=\"0.20\", expect_size=\"16390144\"] \n  32 -> 33 [size =\"16390144\"]\n  33 [size=\"71254016\", alpha=\"0.06\", expect_size=\"35627008\"] \n  33 -> 34 [size =\"35627008\"]\n  33 -> 35 [size =\"35627008\"]\n  34 [size=\"56408064\", alpha=\"0.05\", expect_size=\"28204032\"] \n  35 [size=\"75837440\", alpha=\"0.04\", expect_size=\"37918720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77248512\", alpha=\"0.14\", expect_size=\"38624256\"] \n  1 -> 2 [size =\"38624256\"]\n  2 [size=\"41555968\", alpha=\"0.02\", expect_size=\"20777984\"] \n  2 -> 3 [size =\"20777984\"]\n  3 [size=\"80336896\", alpha=\"0.07\", expect_size=\"40168448\"] \n  3 -> 4 [size =\"40168448\"]\n  4 [size=\"24107008\", alpha=\"0.16\", expect_size=\"12053504\"] \n  4 -> 5 [size =\"12053504\"]\n  5 [size=\"83724288\", alpha=\"0.11\", expect_size=\"41862144\"] \n  5 -> 6 [size =\"41862144\"]\n  6 [size=\"72990720\", alpha=\"0.07\", expect_size=\"36495360\"] \n  6 -> 7 [size =\"36495360\"]\n  7 [size=\"85110784\", alpha=\"0.14\", expect_size=\"42555392\"] \n  7 -> 8 [size =\"42555392\"]\n  8 [size=\"17133568\", alpha=\"0.12\", expect_size=\"8566784\"] \n  8 -> 9 [size =\"8566784\"]\n  9 [size=\"48244736\", alpha=\"0.01\", expect_size=\"24122368\"] \n  9 -> 10 [size =\"24122368\"]\n  10 [size=\"96995328\", alpha=\"0.09\", expect_size=\"48497664\"] \n  10 -> 11 [size =\"48497664\"]\n  11 [size=\"40185856\", alpha=\"0.09\", expect_size=\"20092928\"] \n  11 -> 12 [size =\"20092928\"]\n  12 [size=\"10688512\", alpha=\"0.20\", expect_size=\"5344256\"] \n  12 -> 13 [size =\"5344256\"]\n  13 [size=\"19666944\", alpha=\"0.07\", expect_size=\"9833472\"] \n  13 -> 14 [size =\"9833472\"]\n  14 [size=\"54233088\", alpha=\"0.13\", expect_size=\"27116544\"] \n  14 -> 15 [size =\"27116544\"]\n  15 [size=\"33828864\", alpha=\"0.10\", expect_size=\"16914432\"] \n  15 -> 16 [size =\"16914432\"]\n  16 [size=\"85493760\", alpha=\"0.18\", expect_size=\"42746880\"] \n  16 -> 17 [size =\"42746880\"]\n  17 [size=\"24453120\", alpha=\"0.13\", expect_size=\"12226560\"] \n  17 -> 18 [size =\"12226560\"]\n  18 [size=\"92495872\", alpha=\"0.05\", expect_size=\"46247936\"] \n  18 -> 19 [size =\"46247936\"]\n  19 [size=\"56072192\", alpha=\"0.09\", expect_size=\"28036096\"] \n  19 -> 20 [size =\"28036096\"]\n  20 [size=\"62670848\", alpha=\"0.11\", expect_size=\"31335424\"] \n  20 -> 21 [size =\"31335424\"]\n  21 [size=\"104151040\", alpha=\"0.07\", expect_size=\"52075520\"] \n  21 -> 22 [size =\"52075520\"]\n  22 [size=\"52936704\", alpha=\"0.09\", expect_size=\"26468352\"] \n  22 -> 23 [size =\"26468352\"]\n  23 [size=\"51884032\", alpha=\"0.07\", expect_size=\"25942016\"] \n  23 -> 24 [size =\"25942016\"]\n  24 [size=\"84400128\", alpha=\"0.07\", expect_size=\"42200064\"] \n  24 -> 25 [size =\"42200064\"]\n  25 [size=\"51109888\", alpha=\"0.03\", expect_size=\"25554944\"] \n  25 -> 26 [size =\"25554944\"]\n  26 [size=\"98035712\", alpha=\"0.12\", expect_size=\"49017856\"] \n  26 -> 27 [size =\"49017856\"]\n  27 [size=\"90830848\", alpha=\"0.16\", expect_size=\"45415424\"] \n  27 -> 28 [size =\"45415424\"]\n  28 [size=\"58036224\", alpha=\"0.03\", expect_size=\"29018112\"] \n  28 -> 29 [size =\"29018112\"]\n  29 [size=\"82581504\", alpha=\"0.17\", expect_size=\"41290752\"] \n  29 -> 30 [size =\"41290752\"]\n  30 [size=\"30709760\", alpha=\"0.10\", expect_size=\"15354880\"] \n  30 -> 31 [size =\"15354880\"]\n  31 [size=\"81756160\", alpha=\"0.08\", expect_size=\"40878080\"] \n  31 -> 32 [size =\"40878080\"]\n  32 [size=\"19369984\", alpha=\"0.07\", expect_size=\"9684992\"] \n  32 -> 33 [size =\"9684992\"]\n  33 [size=\"63365120\", alpha=\"0.08\", expect_size=\"31682560\"] \n  33 -> 34 [size =\"31682560\"]\n  34 [size=\"94853120\", alpha=\"0.18\", expect_size=\"47426560\"] \n  34 -> 35 [size =\"47426560\"]\n  35 [size=\"33081344\", alpha=\"0.13\", expect_size=\"16540672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22727680\", alpha=\"0.03\", expect_size=\"9091072\"] \n  1 -> 11 [size =\"9091072\"]\n  2 [size=\"22428160\", alpha=\"0.19\", expect_size=\"8971264\"] \n  2 -> 11 [size =\"8971264\"]\n  2 -> 12 [size =\"8971264\"]\n  3 [size=\"112545280\", alpha=\"0.12\", expect_size=\"45018112\"] \n  3 -> 8 [size =\"45018112\"]\n  4 [size=\"31680000\", alpha=\"0.15\", expect_size=\"12672000\"] \n  4 -> 8 [size =\"12672000\"]\n  5 [size=\"121958400\", alpha=\"0.01\", expect_size=\"48783360\"] \n  5 -> 8 [size =\"48783360\"]\n  5 -> 12 [size =\"48783360\"]\n  6 [size=\"111851520\", alpha=\"0.06\", expect_size=\"44740608\"] \n  6 -> 10 [size =\"44740608\"]\n  6 -> 12 [size =\"44740608\"]\n  7 [size=\"106982400\", alpha=\"0.04\", expect_size=\"42792960\"] \n  7 -> 9 [size =\"42792960\"]\n  7 -> 12 [size =\"42792960\"]\n  8 [size=\"36892160\", alpha=\"0.17\", expect_size=\"14756864\"] \n  8 -> 15 [size =\"14756864\"]\n  8 -> 16 [size =\"14756864\"]\n  9 [size=\"98380800\", alpha=\"0.01\", expect_size=\"39352320\"] \n  9 -> 13 [size =\"39352320\"]\n  9 -> 15 [size =\"39352320\"]\n  9 -> 16 [size =\"39352320\"]\n  9 -> 17 [size =\"39352320\"]\n  10 [size=\"50301440\", alpha=\"0.05\", expect_size=\"20120576\"] \n  10 -> 16 [size =\"20120576\"]\n  10 -> 17 [size =\"20120576\"]\n  11 [size=\"124364800\", alpha=\"0.14\", expect_size=\"49745920\"] \n  11 -> 13 [size =\"49745920\"]\n  11 -> 16 [size =\"49745920\"]\n  11 -> 17 [size =\"49745920\"]\n  12 [size=\"24294400\", alpha=\"0.14\", expect_size=\"9717760\"] \n  12 -> 13 [size =\"9717760\"]\n  12 -> 14 [size =\"9717760\"]\n  12 -> 15 [size =\"9717760\"]\n  12 -> 17 [size =\"9717760\"]\n  13 [size=\"16576000\", alpha=\"0.14\", expect_size=\"6630400\"] \n  13 -> 18 [size =\"6630400\"]\n  14 [size=\"85132800\", alpha=\"0.19\", expect_size=\"34053120\"] \n  14 -> 18 [size =\"34053120\"]\n  15 [size=\"52984320\", alpha=\"0.09\", expect_size=\"21193728\"] \n  15 -> 18 [size =\"21193728\"]\n  16 [size=\"59161600\", alpha=\"0.14\", expect_size=\"23664640\"] \n  16 -> 18 [size =\"23664640\"]\n  16 -> 19 [size =\"23664640\"]\n  17 [size=\"95444480\", alpha=\"0.05\", expect_size=\"38177792\"] \n  18 [size=\"121576960\", alpha=\"0.14\", expect_size=\"48630784\"] \n  18 -> 21 [size =\"48630784\"]\n  18 -> 22 [size =\"48630784\"]\n  19 [size=\"105986560\", alpha=\"0.03\", expect_size=\"42394624\"] \n  19 -> 20 [size =\"42394624\"]\n  19 -> 21 [size =\"42394624\"]\n  20 [size=\"111400960\", alpha=\"0.12\", expect_size=\"44560384\"] \n  20 -> 27 [size =\"44560384\"]\n  21 [size=\"24266240\", alpha=\"0.04\", expect_size=\"9706496\"] \n  21 -> 24 [size =\"9706496\"]\n  21 -> 26 [size =\"9706496\"]\n  22 [size=\"106329600\", alpha=\"0.16\", expect_size=\"42531840\"] \n  22 -> 23 [size =\"42531840\"]\n  22 -> 25 [size =\"42531840\"]\n  23 [size=\"71971840\", alpha=\"0.06\", expect_size=\"28788736\"] \n  23 -> 28 [size =\"28788736\"]\n  24 [size=\"37790720\", alpha=\"0.19\", expect_size=\"15116288\"] \n  24 -> 28 [size =\"15116288\"]\n  25 [size=\"29324800\", alpha=\"0.10\", expect_size=\"11729920\"] \n  26 [size=\"85004800\", alpha=\"0.18\", expect_size=\"34001920\"] \n  27 [size=\"52216320\", alpha=\"0.02\", expect_size=\"20886528\"] \n  27 -> 28 [size =\"20886528\"]\n  27 -> 29 [size =\"20886528\"]\n  28 [size=\"81820160\", alpha=\"0.09\", expect_size=\"32728064\"] \n  28 -> 30 [size =\"32728064\"]\n  28 -> 32 [size =\"32728064\"]\n  29 [size=\"44810240\", alpha=\"0.12\", expect_size=\"17924096\"] \n  29 -> 31 [size =\"17924096\"]\n  29 -> 32 [size =\"17924096\"]\n  30 [size=\"62092800\", alpha=\"0.00\", expect_size=\"24837120\"] \n  30 -> 33 [size =\"24837120\"]\n  30 -> 35 [size =\"24837120\"]\n  31 [size=\"17510400\", alpha=\"0.08\", expect_size=\"7004160\"] \n  31 -> 34 [size =\"7004160\"]\n  32 [size=\"38645760\", alpha=\"0.17\", expect_size=\"15458304\"] \n  32 -> 33 [size =\"15458304\"]\n  33 [size=\"16860160\", alpha=\"0.07\", expect_size=\"6744064\"] \n  34 [size=\"51589120\", alpha=\"0.10\", expect_size=\"20635648\"] \n  35 [size=\"43445760\", alpha=\"0.18\", expect_size=\"17378304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100133547\", alpha=\"0.06\", expect_size=\"30040064\"] \n  1 -> 8 [size =\"30040064\"]\n  1 -> 10 [size =\"30040064\"]\n  1 -> 12 [size =\"30040064\"]\n  1 -> 13 [size =\"30040064\"]\n  1 -> 14 [size =\"30040064\"]\n  1 -> 18 [size =\"30040064\"]\n  2 [size=\"132096000\", alpha=\"0.19\", expect_size=\"39628800\"] \n  2 -> 12 [size =\"39628800\"]\n  3 [size=\"169021440\", alpha=\"0.02\", expect_size=\"50706432\"] \n  3 -> 9 [size =\"50706432\"]\n  3 -> 13 [size =\"50706432\"]\n  3 -> 14 [size =\"50706432\"]\n  3 -> 18 [size =\"50706432\"]\n  4 [size=\"159593813\", alpha=\"0.17\", expect_size=\"47878144\"] \n  4 -> 9 [size =\"47878144\"]\n  4 -> 11 [size =\"47878144\"]\n  4 -> 15 [size =\"47878144\"]\n  4 -> 17 [size =\"47878144\"]\n  5 [size=\"110708053\", alpha=\"0.00\", expect_size=\"33212416\"] \n  5 -> 8 [size =\"33212416\"]\n  5 -> 9 [size =\"33212416\"]\n  5 -> 10 [size =\"33212416\"]\n  5 -> 11 [size =\"33212416\"]\n  5 -> 13 [size =\"33212416\"]\n  5 -> 15 [size =\"33212416\"]\n  5 -> 16 [size =\"33212416\"]\n  5 -> 17 [size =\"33212416\"]\n  5 -> 18 [size =\"33212416\"]\n  6 [size=\"72830293\", alpha=\"0.08\", expect_size=\"21849088\"] \n  6 -> 8 [size =\"21849088\"]\n  6 -> 9 [size =\"21849088\"]\n  6 -> 11 [size =\"21849088\"]\n  6 -> 12 [size =\"21849088\"]\n  6 -> 13 [size =\"21849088\"]\n  6 -> 17 [size =\"21849088\"]\n  7 [size=\"59999573\", alpha=\"0.04\", expect_size=\"17999872\"] \n  7 -> 8 [size =\"17999872\"]\n  7 -> 9 [size =\"17999872\"]\n  7 -> 10 [size =\"17999872\"]\n  7 -> 13 [size =\"17999872\"]\n  7 -> 14 [size =\"17999872\"]\n  7 -> 18 [size =\"17999872\"]\n  8 [size=\"127255893\", alpha=\"0.03\", expect_size=\"38176768\"] \n  8 -> 20 [size =\"38176768\"]\n  8 -> 22 [size =\"38176768\"]\n  8 -> 24 [size =\"38176768\"]\n  9 [size=\"66891093\", alpha=\"0.06\", expect_size=\"20067328\"] \n  9 -> 19 [size =\"20067328\"]\n  9 -> 21 [size =\"20067328\"]\n  9 -> 22 [size =\"20067328\"]\n  9 -> 24 [size =\"20067328\"]\n  9 -> 25 [size =\"20067328\"]\n  10 [size=\"140069547\", alpha=\"0.09\", expect_size=\"42020864\"] \n  10 -> 21 [size =\"42020864\"]\n  10 -> 22 [size =\"42020864\"]\n  10 -> 22 [size =\"42020864\"]\n  10 -> 23 [size =\"42020864\"]\n  10 -> 24 [size =\"42020864\"]\n  11 [size=\"67310933\", alpha=\"0.03\", expect_size=\"20193280\"] \n  11 -> 21 [size =\"20193280\"]\n  11 -> 23 [size =\"20193280\"]\n  11 -> 25 [size =\"20193280\"]\n  12 [size=\"113698133\", alpha=\"0.18\", expect_size=\"34109440\"] \n  12 -> 19 [size =\"34109440\"]\n  12 -> 20 [size =\"34109440\"]\n  12 -> 23 [size =\"34109440\"]\n  13 [size=\"104325120\", alpha=\"0.06\", expect_size=\"31297536\"] \n  13 -> 19 [size =\"31297536\"]\n  13 -> 20 [size =\"31297536\"]\n  13 -> 21 [size =\"31297536\"]\n  13 -> 22 [size =\"31297536\"]\n  14 [size=\"120231253\", alpha=\"0.00\", expect_size=\"36069376\"] \n  14 -> 19 [size =\"36069376\"]\n  14 -> 20 [size =\"36069376\"]\n  14 -> 22 [size =\"36069376\"]\n  14 -> 24 [size =\"36069376\"]\n  15 [size=\"96006827\", alpha=\"0.11\", expect_size=\"28802048\"] \n  15 -> 19 [size =\"28802048\"]\n  15 -> 21 [size =\"28802048\"]\n  15 -> 23 [size =\"28802048\"]\n  15 -> 24 [size =\"28802048\"]\n  16 [size=\"99007147\", alpha=\"0.11\", expect_size=\"29702144\"] \n  16 -> 21 [size =\"29702144\"]\n  16 -> 22 [size =\"29702144\"]\n  16 -> 24 [size =\"29702144\"]\n  17 [size=\"165413547\", alpha=\"0.16\", expect_size=\"49624064\"] \n  17 -> 21 [size =\"49624064\"]\n  17 -> 22 [size =\"49624064\"]\n  17 -> 23 [size =\"49624064\"]\n  18 [size=\"35799040\", alpha=\"0.19\", expect_size=\"10739712\"] \n  18 -> 20 [size =\"10739712\"]\n  18 -> 25 [size =\"10739712\"]\n  19 [size=\"63269547\", alpha=\"0.07\", expect_size=\"18980864\"] \n  20 [size=\"108871680\", alpha=\"0.17\", expect_size=\"32661504\"] \n  20 -> 26 [size =\"32661504\"]\n  20 -> 28 [size =\"32661504\"]\n  20 -> 32 [size =\"32661504\"]\n  21 [size=\"21691733\", alpha=\"0.18\", expect_size=\"6507520\"] \n  21 -> 28 [size =\"6507520\"]\n  21 -> 31 [size =\"6507520\"]\n  21 -> 32 [size =\"6507520\"]\n  22 [size=\"48742400\", alpha=\"0.14\", expect_size=\"14622720\"] \n  22 -> 27 [size =\"14622720\"]\n  22 -> 30 [size =\"14622720\"]\n  22 -> 32 [size =\"14622720\"]\n  23 [size=\"34553173\", alpha=\"0.08\", expect_size=\"10365952\"] \n  23 -> 27 [size =\"10365952\"]\n  23 -> 30 [size =\"10365952\"]\n  23 -> 31 [size =\"10365952\"]\n  23 -> 32 [size =\"10365952\"]\n  24 [size=\"77960533\", alpha=\"0.01\", expect_size=\"23388160\"] \n  24 -> 26 [size =\"23388160\"]\n  24 -> 30 [size =\"23388160\"]\n  25 [size=\"81107627\", alpha=\"0.05\", expect_size=\"24332288\"] \n  25 -> 26 [size =\"24332288\"]\n  25 -> 27 [size =\"24332288\"]\n  25 -> 28 [size =\"24332288\"]\n  25 -> 29 [size =\"24332288\"]\n  25 -> 30 [size =\"24332288\"]\n  26 [size=\"166440960\", alpha=\"0.17\", expect_size=\"49932288\"] \n  26 -> 34 [size =\"49932288\"]\n  27 [size=\"95457280\", alpha=\"0.14\", expect_size=\"28637184\"] \n  27 -> 34 [size =\"28637184\"]\n  27 -> 35 [size =\"28637184\"]\n  28 [size=\"66447360\", alpha=\"0.05\", expect_size=\"19934208\"] \n  29 [size=\"61381973\", alpha=\"0.02\", expect_size=\"18414592\"] \n  30 [size=\"118135467\", alpha=\"0.15\", expect_size=\"35440640\"] \n  30 -> 34 [size =\"35440640\"]\n  31 [size=\"98191360\", alpha=\"0.14\", expect_size=\"29457408\"] \n  31 -> 34 [size =\"29457408\"]\n  31 -> 35 [size =\"29457408\"]\n  32 [size=\"84203520\", alpha=\"0.05\", expect_size=\"25261056\"] \n  32 -> 33 [size =\"25261056\"]\n  32 -> 34 [size =\"25261056\"]\n  32 -> 35 [size =\"25261056\"]\n  33 [size=\"33508693\", alpha=\"0.08\", expect_size=\"10052608\"] \n  34 [size=\"97655467\", alpha=\"0.03\", expect_size=\"29296640\"] \n  35 [size=\"104185173\", alpha=\"0.09\", expect_size=\"31255552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75689984\", alpha=\"0.00\", expect_size=\"37844992\"] \n  1 -> 30 [size =\"37844992\"]\n  1 -> 33 [size =\"37844992\"]\n  1 -> 34 [size =\"37844992\"]\n  2 [size=\"41066496\", alpha=\"0.05\", expect_size=\"20533248\"] \n  2 -> 32 [size =\"20533248\"]\n  2 -> 35 [size =\"20533248\"]\n  3 [size=\"44052480\", alpha=\"0.13\", expect_size=\"22026240\"] \n  3 -> 30 [size =\"22026240\"]\n  3 -> 33 [size =\"22026240\"]\n  3 -> 34 [size =\"22026240\"]\n  4 [size=\"32401408\", alpha=\"0.06\", expect_size=\"16200704\"] \n  5 [size=\"103796736\", alpha=\"0.17\", expect_size=\"51898368\"] \n  5 -> 29 [size =\"51898368\"]\n  5 -> 35 [size =\"51898368\"]\n  6 [size=\"61558784\", alpha=\"0.07\", expect_size=\"30779392\"] \n  6 -> 30 [size =\"30779392\"]\n  6 -> 33 [size =\"30779392\"]\n  7 [size=\"44015616\", alpha=\"0.05\", expect_size=\"22007808\"] \n  7 -> 32 [size =\"22007808\"]\n  7 -> 33 [size =\"22007808\"]\n  8 [size=\"95539200\", alpha=\"0.07\", expect_size=\"47769600\"] \n  8 -> 30 [size =\"47769600\"]\n  8 -> 32 [size =\"47769600\"]\n  8 -> 33 [size =\"47769600\"]\n  8 -> 34 [size =\"47769600\"]\n  8 -> 35 [size =\"47769600\"]\n  9 [size=\"28968960\", alpha=\"0.11\", expect_size=\"14484480\"] \n  9 -> 35 [size =\"14484480\"]\n  10 [size=\"43487232\", alpha=\"0.05\", expect_size=\"21743616\"] \n  10 -> 30 [size =\"21743616\"]\n  10 -> 34 [size =\"21743616\"]\n  11 [size=\"58361856\", alpha=\"0.15\", expect_size=\"29180928\"] \n  11 -> 29 [size =\"29180928\"]\n  11 -> 33 [size =\"29180928\"]\n  11 -> 35 [size =\"29180928\"]\n  12 [size=\"60514304\", alpha=\"0.08\", expect_size=\"30257152\"] \n  13 [size=\"85727232\", alpha=\"0.20\", expect_size=\"42863616\"] \n  13 -> 30 [size =\"42863616\"]\n  14 [size=\"54112256\", alpha=\"0.18\", expect_size=\"27056128\"] \n  14 -> 30 [size =\"27056128\"]\n  15 [size=\"80377856\", alpha=\"0.03\", expect_size=\"40188928\"] \n  15 -> 29 [size =\"40188928\"]\n  15 -> 34 [size =\"40188928\"]\n  16 [size=\"64790528\", alpha=\"0.09\", expect_size=\"32395264\"] \n  16 -> 32 [size =\"32395264\"]\n  16 -> 34 [size =\"32395264\"]\n  17 [size=\"96227328\", alpha=\"0.08\", expect_size=\"48113664\"] \n  17 -> 34 [size =\"48113664\"]\n  18 [size=\"24399872\", alpha=\"0.01\", expect_size=\"12199936\"] \n  18 -> 29 [size =\"12199936\"]\n  18 -> 30 [size =\"12199936\"]\n  18 -> 32 [size =\"12199936\"]\n  18 -> 34 [size =\"12199936\"]\n  19 [size=\"57427968\", alpha=\"0.15\", expect_size=\"28713984\"] \n  19 -> 29 [size =\"28713984\"]\n  19 -> 30 [size =\"28713984\"]\n  19 -> 32 [size =\"28713984\"]\n  19 -> 33 [size =\"28713984\"]\n  19 -> 34 [size =\"28713984\"]\n  20 [size=\"17254400\", alpha=\"0.15\", expect_size=\"8627200\"] \n  20 -> 32 [size =\"8627200\"]\n  21 [size=\"42164224\", alpha=\"0.08\", expect_size=\"21082112\"] \n  21 -> 31 [size =\"21082112\"]\n  22 [size=\"17358848\", alpha=\"0.07\", expect_size=\"8679424\"] \n  22 -> 31 [size =\"8679424\"]\n  22 -> 34 [size =\"8679424\"]\n  22 -> 35 [size =\"8679424\"]\n  23 [size=\"56733696\", alpha=\"0.14\", expect_size=\"28366848\"] \n  23 -> 32 [size =\"28366848\"]\n  23 -> 34 [size =\"28366848\"]\n  24 [size=\"55529472\", alpha=\"0.06\", expect_size=\"27764736\"] \n  24 -> 32 [size =\"27764736\"]\n  25 [size=\"46870528\", alpha=\"0.17\", expect_size=\"23435264\"] \n  25 -> 29 [size =\"23435264\"]\n  25 -> 32 [size =\"23435264\"]\n  26 [size=\"61022208\", alpha=\"0.19\", expect_size=\"30511104\"] \n  26 -> 34 [size =\"30511104\"]\n  27 [size=\"11194368\", alpha=\"0.08\", expect_size=\"5597184\"] \n  28 [size=\"50759680\", alpha=\"0.15\", expect_size=\"25379840\"] \n  28 -> 29 [size =\"25379840\"]\n  28 -> 32 [size =\"25379840\"]\n  28 -> 33 [size =\"25379840\"]\n  28 -> 34 [size =\"25379840\"]\n  29 [size=\"57088000\", alpha=\"0.06\", expect_size=\"28544000\"] \n  30 [size=\"35323904\", alpha=\"0.04\", expect_size=\"17661952\"] \n  31 [size=\"104751104\", alpha=\"0.12\", expect_size=\"52375552\"] \n  32 [size=\"47460352\", alpha=\"0.11\", expect_size=\"23730176\"] \n  33 [size=\"82776064\", alpha=\"0.06\", expect_size=\"41388032\"] \n  34 [size=\"55523328\", alpha=\"0.10\", expect_size=\"27761664\"] \n  35 [size=\"81989632\", alpha=\"0.08\", expect_size=\"40994816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40048640\", alpha=\"0.08\", expect_size=\"16019456\"] \n  1 -> 25 [size =\"16019456\"]\n  1 -> 27 [size =\"16019456\"]\n  1 -> 30 [size =\"16019456\"]\n  1 -> 33 [size =\"16019456\"]\n  1 -> 34 [size =\"16019456\"]\n  2 [size=\"127700480\", alpha=\"0.18\", expect_size=\"51080192\"] \n  2 -> 27 [size =\"51080192\"]\n  2 -> 32 [size =\"51080192\"]\n  3 [size=\"112729600\", alpha=\"0.19\", expect_size=\"45091840\"] \n  3 -> 24 [size =\"45091840\"]\n  3 -> 30 [size =\"45091840\"]\n  3 -> 34 [size =\"45091840\"]\n  3 -> 35 [size =\"45091840\"]\n  4 [size=\"106621440\", alpha=\"0.14\", expect_size=\"42648576\"] \n  4 -> 26 [size =\"42648576\"]\n  4 -> 31 [size =\"42648576\"]\n  4 -> 33 [size =\"42648576\"]\n  4 -> 34 [size =\"42648576\"]\n  5 [size=\"59463680\", alpha=\"0.04\", expect_size=\"23785472\"] \n  5 -> 24 [size =\"23785472\"]\n  5 -> 33 [size =\"23785472\"]\n  5 -> 33 [size =\"23785472\"]\n  6 [size=\"28259840\", alpha=\"0.07\", expect_size=\"11303936\"] \n  6 -> 22 [size =\"11303936\"]\n  6 -> 23 [size =\"11303936\"]\n  6 -> 34 [size =\"11303936\"]\n  7 [size=\"13696000\", alpha=\"0.07\", expect_size=\"5478400\"] \n  7 -> 24 [size =\"5478400\"]\n  7 -> 26 [size =\"5478400\"]\n  7 -> 27 [size =\"5478400\"]\n  7 -> 31 [size =\"5478400\"]\n  7 -> 32 [size =\"5478400\"]\n  7 -> 34 [size =\"5478400\"]\n  8 [size=\"74728960\", alpha=\"0.03\", expect_size=\"29891584\"] \n  8 -> 24 [size =\"29891584\"]\n  8 -> 25 [size =\"29891584\"]\n  8 -> 26 [size =\"29891584\"]\n  8 -> 27 [size =\"29891584\"]\n  8 -> 28 [size =\"29891584\"]\n  8 -> 29 [size =\"29891584\"]\n  8 -> 30 [size =\"29891584\"]\n  8 -> 32 [size =\"29891584\"]\n  8 -> 33 [size =\"29891584\"]\n  8 -> 34 [size =\"29891584\"]\n  9 [size=\"28341760\", alpha=\"0.08\", expect_size=\"11336704\"] \n  9 -> 24 [size =\"11336704\"]\n  9 -> 25 [size =\"11336704\"]\n  9 -> 27 [size =\"11336704\"]\n  9 -> 29 [size =\"11336704\"]\n  9 -> 31 [size =\"11336704\"]\n  9 -> 33 [size =\"11336704\"]\n  10 [size=\"125862400\", alpha=\"0.14\", expect_size=\"50344960\"] \n  10 -> 24 [size =\"50344960\"]\n  10 -> 25 [size =\"50344960\"]\n  11 [size=\"42626560\", alpha=\"0.00\", expect_size=\"17050624\"] \n  11 -> 26 [size =\"17050624\"]\n  11 -> 33 [size =\"17050624\"]\n  12 [size=\"90910720\", alpha=\"0.20\", expect_size=\"36364288\"] \n  12 -> 22 [size =\"36364288\"]\n  12 -> 30 [size =\"36364288\"]\n  12 -> 32 [size =\"36364288\"]\n  12 -> 33 [size =\"36364288\"]\n  12 -> 34 [size =\"36364288\"]\n  13 [size=\"77918720\", alpha=\"0.18\", expect_size=\"31167488\"] \n  13 -> 23 [size =\"31167488\"]\n  13 -> 34 [size =\"31167488\"]\n  14 [size=\"73861120\", alpha=\"0.02\", expect_size=\"29544448\"] \n  14 -> 26 [size =\"29544448\"]\n  14 -> 27 [size =\"29544448\"]\n  14 -> 28 [size =\"29544448\"]\n  14 -> 34 [size =\"29544448\"]\n  15 [size=\"39959040\", alpha=\"0.15\", expect_size=\"15983616\"] \n  15 -> 22 [size =\"15983616\"]\n  15 -> 24 [size =\"15983616\"]\n  16 [size=\"65827840\", alpha=\"0.14\", expect_size=\"26331136\"] \n  16 -> 23 [size =\"26331136\"]\n  16 -> 27 [size =\"26331136\"]\n  16 -> 28 [size =\"26331136\"]\n  16 -> 29 [size =\"26331136\"]\n  17 [size=\"107760640\", alpha=\"0.06\", expect_size=\"43104256\"] \n  17 -> 30 [size =\"43104256\"]\n  17 -> 31 [size =\"43104256\"]\n  17 -> 34 [size =\"43104256\"]\n  18 [size=\"30351360\", alpha=\"0.11\", expect_size=\"12140544\"] \n  18 -> 22 [size =\"12140544\"]\n  18 -> 23 [size =\"12140544\"]\n  18 -> 26 [size =\"12140544\"]\n  18 -> 30 [size =\"12140544\"]\n  18 -> 31 [size =\"12140544\"]\n  18 -> 32 [size =\"12140544\"]\n  18 -> 34 [size =\"12140544\"]\n  19 [size=\"48568320\", alpha=\"0.02\", expect_size=\"19427328\"] \n  19 -> 26 [size =\"19427328\"]\n  19 -> 31 [size =\"19427328\"]\n  19 -> 33 [size =\"19427328\"]\n  20 [size=\"93908480\", alpha=\"0.16\", expect_size=\"37563392\"] \n  20 -> 30 [size =\"37563392\"]\n  20 -> 33 [size =\"37563392\"]\n  21 [size=\"61120000\", alpha=\"0.13\", expect_size=\"24448000\"] \n  21 -> 23 [size =\"24448000\"]\n  21 -> 24 [size =\"24448000\"]\n  21 -> 27 [size =\"24448000\"]\n  21 -> 30 [size =\"24448000\"]\n  21 -> 33 [size =\"24448000\"]\n  22 [size=\"64048640\", alpha=\"0.10\", expect_size=\"25619456\"] \n  23 [size=\"61824000\", alpha=\"0.04\", expect_size=\"24729600\"] \n  24 [size=\"49766400\", alpha=\"0.14\", expect_size=\"19906560\"] \n  25 [size=\"58941440\", alpha=\"0.12\", expect_size=\"23576576\"] \n  26 [size=\"29939200\", alpha=\"0.12\", expect_size=\"11975680\"] \n  27 [size=\"109969920\", alpha=\"0.12\", expect_size=\"43987968\"] \n  28 [size=\"28677120\", alpha=\"0.03\", expect_size=\"11470848\"] \n  29 [size=\"94440960\", alpha=\"0.16\", expect_size=\"37776384\"] \n  30 [size=\"109120000\", alpha=\"0.09\", expect_size=\"43648000\"] \n  31 [size=\"82772480\", alpha=\"0.06\", expect_size=\"33108992\"] \n  32 [size=\"42339840\", alpha=\"0.17\", expect_size=\"16935936\"] \n  33 [size=\"102417920\", alpha=\"0.18\", expect_size=\"40967168\"] \n  34 [size=\"126702080\", alpha=\"0.10\", expect_size=\"50680832\"] \n  35 [size=\"90741760\", alpha=\"0.07\", expect_size=\"36296704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99399680\", alpha=\"0.15\", expect_size=\"29819904\"] \n  1 -> 2 [size =\"29819904\"]\n  2 [size=\"97341440\", alpha=\"0.17\", expect_size=\"29202432\"] \n  2 -> 3 [size =\"29202432\"]\n  3 [size=\"96153600\", alpha=\"0.07\", expect_size=\"28846080\"] \n  3 -> 4 [size =\"28846080\"]\n  4 [size=\"68638720\", alpha=\"0.09\", expect_size=\"20591616\"] \n  4 -> 5 [size =\"20591616\"]\n  5 [size=\"161815893\", alpha=\"0.05\", expect_size=\"48544768\"] \n  5 -> 6 [size =\"48544768\"]\n  6 [size=\"113076907\", alpha=\"0.20\", expect_size=\"33923072\"] \n  6 -> 7 [size =\"33923072\"]\n  7 [size=\"75578027\", alpha=\"0.14\", expect_size=\"22673408\"] \n  7 -> 8 [size =\"22673408\"]\n  8 [size=\"95460693\", alpha=\"0.14\", expect_size=\"28638208\"] \n  8 -> 9 [size =\"28638208\"]\n  9 [size=\"30037333\", alpha=\"0.01\", expect_size=\"9011200\"] \n  9 -> 10 [size =\"9011200\"]\n  10 [size=\"52032853\", alpha=\"0.16\", expect_size=\"15609856\"] \n  10 -> 11 [size =\"15609856\"]\n  11 [size=\"65293653\", alpha=\"0.19\", expect_size=\"19588096\"] \n  11 -> 12 [size =\"19588096\"]\n  12 [size=\"28228267\", alpha=\"0.11\", expect_size=\"8468480\"] \n  12 -> 13 [size =\"8468480\"]\n  13 [size=\"162286933\", alpha=\"0.06\", expect_size=\"48686080\"] \n  13 -> 14 [size =\"48686080\"]\n  14 [size=\"58064213\", alpha=\"0.19\", expect_size=\"17419264\"] \n  14 -> 15 [size =\"17419264\"]\n  15 [size=\"126651733\", alpha=\"0.15\", expect_size=\"37995520\"] \n  15 -> 16 [size =\"37995520\"]\n  16 [size=\"166106453\", alpha=\"0.14\", expect_size=\"49831936\"] \n  16 -> 17 [size =\"49831936\"]\n  17 [size=\"165652480\", alpha=\"0.09\", expect_size=\"49695744\"] \n  17 -> 18 [size =\"49695744\"]\n  18 [size=\"120046933\", alpha=\"0.15\", expect_size=\"36014080\"] \n  18 -> 19 [size =\"36014080\"]\n  19 [size=\"69307733\", alpha=\"0.04\", expect_size=\"20792320\"] \n  19 -> 20 [size =\"20792320\"]\n  20 [size=\"80960853\", alpha=\"0.17\", expect_size=\"24288256\"] \n  20 -> 21 [size =\"24288256\"]\n  21 [size=\"50810880\", alpha=\"0.01\", expect_size=\"15243264\"] \n  21 -> 22 [size =\"15243264\"]\n  22 [size=\"44612267\", alpha=\"0.14\", expect_size=\"13383680\"] \n  22 -> 23 [size =\"13383680\"]\n  23 [size=\"135021227\", alpha=\"0.18\", expect_size=\"40506368\"] \n  23 -> 24 [size =\"40506368\"]\n  24 [size=\"27060907\", alpha=\"0.09\", expect_size=\"8118272\"] \n  24 -> 25 [size =\"8118272\"]\n  25 [size=\"174725120\", alpha=\"0.17\", expect_size=\"52417536\"] \n  25 -> 26 [size =\"52417536\"]\n  26 [size=\"132826453\", alpha=\"0.18\", expect_size=\"39847936\"] \n  26 -> 27 [size =\"39847936\"]\n  27 [size=\"84660907\", alpha=\"0.07\", expect_size=\"25398272\"] \n  27 -> 28 [size =\"25398272\"]\n  28 [size=\"153487360\", alpha=\"0.05\", expect_size=\"46046208\"] \n  28 -> 29 [size =\"46046208\"]\n  29 [size=\"114670933\", alpha=\"0.05\", expect_size=\"34401280\"] \n  29 -> 30 [size =\"34401280\"]\n  30 [size=\"143011840\", alpha=\"0.09\", expect_size=\"42903552\"] \n  30 -> 31 [size =\"42903552\"]\n  31 [size=\"118545067\", alpha=\"0.19\", expect_size=\"35563520\"] \n  31 -> 32 [size =\"35563520\"]\n  32 [size=\"123197440\", alpha=\"0.11\", expect_size=\"36959232\"] \n  32 -> 33 [size =\"36959232\"]\n  33 [size=\"79547733\", alpha=\"0.01\", expect_size=\"23864320\"] \n  33 -> 34 [size =\"23864320\"]\n  34 [size=\"66276693\", alpha=\"0.16\", expect_size=\"19883008\"] \n  34 -> 35 [size =\"19883008\"]\n  35 [size=\"134543360\", alpha=\"0.05\", expect_size=\"40363008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51166720\", alpha=\"0.00\", expect_size=\"20466688\"] \n  1 -> 2 [size =\"20466688\"]\n  2 [size=\"59665920\", alpha=\"0.15\", expect_size=\"23866368\"] \n  2 -> 3 [size =\"23866368\"]\n  3 [size=\"119316480\", alpha=\"0.11\", expect_size=\"47726592\"] \n  3 -> 4 [size =\"47726592\"]\n  4 [size=\"51138560\", alpha=\"0.12\", expect_size=\"20455424\"] \n  4 -> 5 [size =\"20455424\"]\n  5 [size=\"104007680\", alpha=\"0.06\", expect_size=\"41603072\"] \n  5 -> 6 [size =\"41603072\"]\n  6 [size=\"45678080\", alpha=\"0.03\", expect_size=\"18271232\"] \n  6 -> 7 [size =\"18271232\"]\n  7 [size=\"64320000\", alpha=\"0.06\", expect_size=\"25728000\"] \n  7 -> 8 [size =\"25728000\"]\n  8 [size=\"14187520\", alpha=\"0.03\", expect_size=\"5675008\"] \n  8 -> 9 [size =\"5675008\"]\n  9 [size=\"103646720\", alpha=\"0.06\", expect_size=\"41458688\"] \n  9 -> 10 [size =\"41458688\"]\n  10 [size=\"107207680\", alpha=\"0.18\", expect_size=\"42883072\"] \n  10 -> 11 [size =\"42883072\"]\n  11 [size=\"120693760\", alpha=\"0.06\", expect_size=\"48277504\"] \n  11 -> 12 [size =\"48277504\"]\n  12 [size=\"122588160\", alpha=\"0.06\", expect_size=\"49035264\"] \n  12 -> 13 [size =\"49035264\"]\n  13 [size=\"95843840\", alpha=\"0.15\", expect_size=\"38337536\"] \n  13 -> 14 [size =\"38337536\"]\n  14 [size=\"44078080\", alpha=\"0.02\", expect_size=\"17631232\"] \n  14 -> 15 [size =\"17631232\"]\n  15 [size=\"112468480\", alpha=\"0.02\", expect_size=\"44987392\"] \n  15 -> 16 [size =\"44987392\"]\n  16 [size=\"27773440\", alpha=\"0.08\", expect_size=\"11109376\"] \n  16 -> 17 [size =\"11109376\"]\n  17 [size=\"44088320\", alpha=\"0.15\", expect_size=\"17635328\"] \n  17 -> 18 [size =\"17635328\"]\n  18 [size=\"80942080\", alpha=\"0.12\", expect_size=\"32376832\"] \n  18 -> 19 [size =\"32376832\"]\n  19 [size=\"101358080\", alpha=\"0.02\", expect_size=\"40543232\"] \n  19 -> 20 [size =\"40543232\"]\n  20 [size=\"19294720\", alpha=\"0.07\", expect_size=\"7717888\"] \n  20 -> 21 [size =\"7717888\"]\n  21 [size=\"122905600\", alpha=\"0.18\", expect_size=\"49162240\"] \n  21 -> 22 [size =\"49162240\"]\n  22 [size=\"41692160\", alpha=\"0.16\", expect_size=\"16676864\"] \n  22 -> 23 [size =\"16676864\"]\n  23 [size=\"79055360\", alpha=\"0.13\", expect_size=\"31622144\"] \n  23 -> 24 [size =\"31622144\"]\n  24 [size=\"51773440\", alpha=\"0.16\", expect_size=\"20709376\"] \n  24 -> 25 [size =\"20709376\"]\n  25 [size=\"62123520\", alpha=\"0.15\", expect_size=\"24849408\"] \n  25 -> 26 [size =\"24849408\"]\n  26 [size=\"74068480\", alpha=\"0.19\", expect_size=\"29627392\"] \n  26 -> 27 [size =\"29627392\"]\n  27 [size=\"123560960\", alpha=\"0.12\", expect_size=\"49424384\"] \n  27 -> 28 [size =\"49424384\"]\n  28 [size=\"94858240\", alpha=\"0.05\", expect_size=\"37943296\"] \n  28 -> 29 [size =\"37943296\"]\n  29 [size=\"44794880\", alpha=\"0.13\", expect_size=\"17917952\"] \n  29 -> 30 [size =\"17917952\"]\n  30 [size=\"59087360\", alpha=\"0.18\", expect_size=\"23634944\"] \n  30 -> 31 [size =\"23634944\"]\n  31 [size=\"99422720\", alpha=\"0.00\", expect_size=\"39769088\"] \n  31 -> 32 [size =\"39769088\"]\n  32 [size=\"85895680\", alpha=\"0.01\", expect_size=\"34358272\"] \n  32 -> 33 [size =\"34358272\"]\n  33 [size=\"65067520\", alpha=\"0.17\", expect_size=\"26027008\"] \n  33 -> 34 [size =\"26027008\"]\n  34 [size=\"25180160\", alpha=\"0.17\", expect_size=\"10072064\"] \n  34 -> 35 [size =\"10072064\"]\n  35 [size=\"122234880\", alpha=\"0.14\", expect_size=\"48893952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134922240\", alpha=\"0.10\", expect_size=\"40476672\"] \n  1 -> 4 [size =\"40476672\"]\n  2 [size=\"156699307\", alpha=\"0.19\", expect_size=\"47009792\"] \n  2 -> 3 [size =\"47009792\"]\n  3 [size=\"148971520\", alpha=\"0.18\", expect_size=\"44691456\"] \n  3 -> 6 [size =\"44691456\"]\n  4 [size=\"113172480\", alpha=\"0.03\", expect_size=\"33951744\"] \n  4 -> 5 [size =\"33951744\"]\n  5 [size=\"115189760\", alpha=\"0.15\", expect_size=\"34556928\"] \n  6 [size=\"61566293\", alpha=\"0.14\", expect_size=\"18469888\"] \n  6 -> 7 [size =\"18469888\"]\n  7 [size=\"64880640\", alpha=\"0.05\", expect_size=\"19464192\"] \n  7 -> 8 [size =\"19464192\"]\n  8 [size=\"146892800\", alpha=\"0.04\", expect_size=\"44067840\"] \n  8 -> 9 [size =\"44067840\"]\n  9 [size=\"37806080\", alpha=\"0.15\", expect_size=\"11341824\"] \n  9 -> 10 [size =\"11341824\"]\n  9 -> 11 [size =\"11341824\"]\n  10 [size=\"88644267\", alpha=\"0.14\", expect_size=\"26593280\"] \n  10 -> 12 [size =\"26593280\"]\n  11 [size=\"97501867\", alpha=\"0.17\", expect_size=\"29250560\"] \n  11 -> 13 [size =\"29250560\"]\n  12 [size=\"22719147\", alpha=\"0.01\", expect_size=\"6815744\"] \n  12 -> 14 [size =\"6815744\"]\n  12 -> 15 [size =\"6815744\"]\n  13 [size=\"169311573\", alpha=\"0.18\", expect_size=\"50793472\"] \n  14 [size=\"156347733\", alpha=\"0.06\", expect_size=\"46904320\"] \n  14 -> 17 [size =\"46904320\"]\n  15 [size=\"20773547\", alpha=\"0.19\", expect_size=\"6232064\"] \n  15 -> 16 [size =\"6232064\"]\n  16 [size=\"139820373\", alpha=\"0.06\", expect_size=\"41946112\"] \n  16 -> 18 [size =\"41946112\"]\n  17 [size=\"89053867\", alpha=\"0.18\", expect_size=\"26716160\"] \n  18 [size=\"129935360\", alpha=\"0.17\", expect_size=\"38980608\"] \n  18 -> 19 [size =\"38980608\"]\n  19 [size=\"159505067\", alpha=\"0.01\", expect_size=\"47851520\"] \n  19 -> 20 [size =\"47851520\"]\n  19 -> 21 [size =\"47851520\"]\n  20 [size=\"122497707\", alpha=\"0.13\", expect_size=\"36749312\"] \n  20 -> 22 [size =\"36749312\"]\n  20 -> 23 [size =\"36749312\"]\n  21 [size=\"77622613\", alpha=\"0.19\", expect_size=\"23286784\"] \n  22 [size=\"50875733\", alpha=\"0.04\", expect_size=\"15262720\"] \n  22 -> 24 [size =\"15262720\"]\n  23 [size=\"60262400\", alpha=\"0.05\", expect_size=\"18078720\"] \n  24 [size=\"43960320\", alpha=\"0.19\", expect_size=\"13188096\"] \n  24 -> 25 [size =\"13188096\"]\n  24 -> 26 [size =\"13188096\"]\n  25 [size=\"87302827\", alpha=\"0.05\", expect_size=\"26190848\"] \n  26 [size=\"79322453\", alpha=\"0.17\", expect_size=\"23796736\"] \n  26 -> 27 [size =\"23796736\"]\n  27 [size=\"126269440\", alpha=\"0.14\", expect_size=\"37880832\"] \n  27 -> 28 [size =\"37880832\"]\n  28 [size=\"112076800\", alpha=\"0.08\", expect_size=\"33623040\"] \n  28 -> 29 [size =\"33623040\"]\n  28 -> 30 [size =\"33623040\"]\n  29 [size=\"90292907\", alpha=\"0.05\", expect_size=\"27087872\"] \n  30 [size=\"94248960\", alpha=\"0.11\", expect_size=\"28274688\"] \n  30 -> 31 [size =\"28274688\"]\n  31 [size=\"35372373\", alpha=\"0.06\", expect_size=\"10611712\"] \n  31 -> 32 [size =\"10611712\"]\n  32 [size=\"31109120\", alpha=\"0.03\", expect_size=\"9332736\"] \n  32 -> 33 [size =\"9332736\"]\n  32 -> 34 [size =\"9332736\"]\n  33 [size=\"63399253\", alpha=\"0.19\", expect_size=\"19019776\"] \n  33 -> 35 [size =\"19019776\"]\n  34 [size=\"106448213\", alpha=\"0.12\", expect_size=\"31934464\"] \n  35 [size=\"98672640\", alpha=\"0.06\", expect_size=\"29601792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37804032\", alpha=\"0.01\", expect_size=\"18902016\"] \n  1 -> 5 [size =\"18902016\"]\n  1 -> 6 [size =\"18902016\"]\n  1 -> 7 [size =\"18902016\"]\n  1 -> 8 [size =\"18902016\"]\n  2 [size=\"18921472\", alpha=\"0.13\", expect_size=\"9460736\"] \n  2 -> 4 [size =\"9460736\"]\n  2 -> 5 [size =\"9460736\"]\n  2 -> 6 [size =\"9460736\"]\n  2 -> 8 [size =\"9460736\"]\n  3 [size=\"41422848\", alpha=\"0.04\", expect_size=\"20711424\"] \n  3 -> 4 [size =\"20711424\"]\n  3 -> 5 [size =\"20711424\"]\n  3 -> 6 [size =\"20711424\"]\n  3 -> 7 [size =\"20711424\"]\n  3 -> 8 [size =\"20711424\"]\n  4 [size=\"80818176\", alpha=\"0.03\", expect_size=\"40409088\"] \n  4 -> 9 [size =\"40409088\"]\n  4 -> 10 [size =\"40409088\"]\n  4 -> 13 [size =\"40409088\"]\n  5 [size=\"65916928\", alpha=\"0.19\", expect_size=\"32958464\"] \n  5 -> 10 [size =\"32958464\"]\n  5 -> 11 [size =\"32958464\"]\n  6 [size=\"57276416\", alpha=\"0.20\", expect_size=\"28638208\"] \n  6 -> 10 [size =\"28638208\"]\n  6 -> 12 [size =\"28638208\"]\n  7 [size=\"87197696\", alpha=\"0.03\", expect_size=\"43598848\"] \n  7 -> 10 [size =\"43598848\"]\n  7 -> 11 [size =\"43598848\"]\n  7 -> 12 [size =\"43598848\"]\n  8 [size=\"102356992\", alpha=\"0.07\", expect_size=\"51178496\"] \n  8 -> 10 [size =\"51178496\"]\n  8 -> 11 [size =\"51178496\"]\n  8 -> 13 [size =\"51178496\"]\n  9 [size=\"64657408\", alpha=\"0.14\", expect_size=\"32328704\"] \n  9 -> 14 [size =\"32328704\"]\n  9 -> 15 [size =\"32328704\"]\n  9 -> 17 [size =\"32328704\"]\n  10 [size=\"53647360\", alpha=\"0.01\", expect_size=\"26823680\"] \n  10 -> 14 [size =\"26823680\"]\n  10 -> 15 [size =\"26823680\"]\n  11 [size=\"30251008\", alpha=\"0.03\", expect_size=\"15125504\"] \n  11 -> 14 [size =\"15125504\"]\n  11 -> 15 [size =\"15125504\"]\n  11 -> 16 [size =\"15125504\"]\n  12 [size=\"34373632\", alpha=\"0.01\", expect_size=\"17186816\"] \n  12 -> 14 [size =\"17186816\"]\n  12 -> 15 [size =\"17186816\"]\n  13 [size=\"93782016\", alpha=\"0.18\", expect_size=\"46891008\"] \n  13 -> 14 [size =\"46891008\"]\n  13 -> 15 [size =\"46891008\"]\n  14 [size=\"15947776\", alpha=\"0.07\", expect_size=\"7973888\"] \n  14 -> 18 [size =\"7973888\"]\n  14 -> 20 [size =\"7973888\"]\n  14 -> 21 [size =\"7973888\"]\n  14 -> 23 [size =\"7973888\"]\n  15 [size=\"30457856\", alpha=\"0.08\", expect_size=\"15228928\"] \n  15 -> 20 [size =\"15228928\"]\n  15 -> 23 [size =\"15228928\"]\n  16 [size=\"27662336\", alpha=\"0.00\", expect_size=\"13831168\"] \n  16 -> 19 [size =\"13831168\"]\n  16 -> 20 [size =\"13831168\"]\n  16 -> 22 [size =\"13831168\"]\n  17 [size=\"27043840\", alpha=\"0.13\", expect_size=\"13521920\"] \n  17 -> 18 [size =\"13521920\"]\n  17 -> 20 [size =\"13521920\"]\n  17 -> 21 [size =\"13521920\"]\n  17 -> 22 [size =\"13521920\"]\n  18 [size=\"39272448\", alpha=\"0.14\", expect_size=\"19636224\"] \n  18 -> 25 [size =\"19636224\"]\n  18 -> 26 [size =\"19636224\"]\n  19 [size=\"70840320\", alpha=\"0.09\", expect_size=\"35420160\"] \n  19 -> 24 [size =\"35420160\"]\n  19 -> 25 [size =\"35420160\"]\n  19 -> 26 [size =\"35420160\"]\n  20 [size=\"42369024\", alpha=\"0.08\", expect_size=\"21184512\"] \n  20 -> 25 [size =\"21184512\"]\n  21 [size=\"46413824\", alpha=\"0.14\", expect_size=\"23206912\"] \n  21 -> 25 [size =\"23206912\"]\n  22 [size=\"59338752\", alpha=\"0.01\", expect_size=\"29669376\"] \n  22 -> 25 [size =\"29669376\"]\n  22 -> 26 [size =\"29669376\"]\n  23 [size=\"61925376\", alpha=\"0.14\", expect_size=\"30962688\"] \n  23 -> 25 [size =\"30962688\"]\n  23 -> 26 [size =\"30962688\"]\n  24 [size=\"50685952\", alpha=\"0.03\", expect_size=\"25342976\"] \n  24 -> 27 [size =\"25342976\"]\n  24 -> 28 [size =\"25342976\"]\n  24 -> 29 [size =\"25342976\"]\n  25 [size=\"83838976\", alpha=\"0.03\", expect_size=\"41919488\"] \n  25 -> 27 [size =\"41919488\"]\n  25 -> 29 [size =\"41919488\"]\n  25 -> 30 [size =\"41919488\"]\n  26 [size=\"28948480\", alpha=\"0.13\", expect_size=\"14474240\"] \n  26 -> 27 [size =\"14474240\"]\n  26 -> 28 [size =\"14474240\"]\n  26 -> 29 [size =\"14474240\"]\n  27 [size=\"29224960\", alpha=\"0.19\", expect_size=\"14612480\"] \n  27 -> 31 [size =\"14612480\"]\n  27 -> 33 [size =\"14612480\"]\n  27 -> 34 [size =\"14612480\"]\n  27 -> 35 [size =\"14612480\"]\n  28 [size=\"89194496\", alpha=\"0.05\", expect_size=\"44597248\"] \n  28 -> 31 [size =\"44597248\"]\n  28 -> 32 [size =\"44597248\"]\n  28 -> 33 [size =\"44597248\"]\n  28 -> 34 [size =\"44597248\"]\n  28 -> 35 [size =\"44597248\"]\n  29 [size=\"62582784\", alpha=\"0.03\", expect_size=\"31291392\"] \n  29 -> 31 [size =\"31291392\"]\n  29 -> 32 [size =\"31291392\"]\n  29 -> 33 [size =\"31291392\"]\n  29 -> 34 [size =\"31291392\"]\n  29 -> 35 [size =\"31291392\"]\n  30 [size=\"10731520\", alpha=\"0.09\", expect_size=\"5365760\"] \n  30 -> 33 [size =\"5365760\"]\n  30 -> 34 [size =\"5365760\"]\n  30 -> 35 [size =\"5365760\"]\n  31 [size=\"50540544\", alpha=\"0.20\", expect_size=\"25270272\"] \n  32 [size=\"20586496\", alpha=\"0.15\", expect_size=\"10293248\"] \n  33 [size=\"23676928\", alpha=\"0.09\", expect_size=\"11838464\"] \n  34 [size=\"90748928\", alpha=\"0.03\", expect_size=\"45374464\"] \n  35 [size=\"103391232\", alpha=\"0.02\", expect_size=\"51695616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33959936\", alpha=\"0.01\", expect_size=\"16979968\"] \n  1 -> 12 [size =\"16979968\"]\n  2 [size=\"89653248\", alpha=\"0.15\", expect_size=\"44826624\"] \n  2 -> 12 [size =\"44826624\"]\n  2 -> 18 [size =\"44826624\"]\n  2 -> 19 [size =\"44826624\"]\n  2 -> 20 [size =\"44826624\"]\n  2 -> 21 [size =\"44826624\"]\n  3 [size=\"63201280\", alpha=\"0.04\", expect_size=\"31600640\"] \n  3 -> 13 [size =\"31600640\"]\n  3 -> 15 [size =\"31600640\"]\n  3 -> 16 [size =\"31600640\"]\n  3 -> 18 [size =\"31600640\"]\n  3 -> 21 [size =\"31600640\"]\n  4 [size=\"32012288\", alpha=\"0.15\", expect_size=\"16006144\"] \n  4 -> 14 [size =\"16006144\"]\n  4 -> 18 [size =\"16006144\"]\n  4 -> 21 [size =\"16006144\"]\n  5 [size=\"13545472\", alpha=\"0.17\", expect_size=\"6772736\"] \n  5 -> 12 [size =\"6772736\"]\n  5 -> 19 [size =\"6772736\"]\n  5 -> 21 [size =\"6772736\"]\n  5 -> 22 [size =\"6772736\"]\n  6 [size=\"54847488\", alpha=\"0.13\", expect_size=\"27423744\"] \n  6 -> 13 [size =\"27423744\"]\n  6 -> 14 [size =\"27423744\"]\n  6 -> 16 [size =\"27423744\"]\n  6 -> 18 [size =\"27423744\"]\n  6 -> 19 [size =\"27423744\"]\n  7 [size=\"92313600\", alpha=\"0.11\", expect_size=\"46156800\"] \n  7 -> 13 [size =\"46156800\"]\n  7 -> 15 [size =\"46156800\"]\n  7 -> 16 [size =\"46156800\"]\n  7 -> 17 [size =\"46156800\"]\n  7 -> 19 [size =\"46156800\"]\n  8 [size=\"52129792\", alpha=\"0.00\", expect_size=\"26064896\"] \n  8 -> 13 [size =\"26064896\"]\n  8 -> 19 [size =\"26064896\"]\n  8 -> 20 [size =\"26064896\"]\n  8 -> 21 [size =\"26064896\"]\n  9 [size=\"38948864\", alpha=\"0.16\", expect_size=\"19474432\"] \n  9 -> 13 [size =\"19474432\"]\n  9 -> 15 [size =\"19474432\"]\n  9 -> 18 [size =\"19474432\"]\n  10 [size=\"78489600\", alpha=\"0.01\", expect_size=\"39244800\"] \n  10 -> 13 [size =\"39244800\"]\n  10 -> 15 [size =\"39244800\"]\n  10 -> 16 [size =\"39244800\"]\n  11 [size=\"31383552\", alpha=\"0.05\", expect_size=\"15691776\"] \n  11 -> 12 [size =\"15691776\"]\n  11 -> 19 [size =\"15691776\"]\n  11 -> 22 [size =\"15691776\"]\n  12 [size=\"37320704\", alpha=\"0.03\", expect_size=\"18660352\"] \n  12 -> 27 [size =\"18660352\"]\n  12 -> 28 [size =\"18660352\"]\n  12 -> 29 [size =\"18660352\"]\n  13 [size=\"14585856\", alpha=\"0.01\", expect_size=\"7292928\"] \n  13 -> 23 [size =\"7292928\"]\n  13 -> 28 [size =\"7292928\"]\n  13 -> 31 [size =\"7292928\"]\n  14 [size=\"32335872\", alpha=\"0.07\", expect_size=\"16167936\"] \n  14 -> 24 [size =\"16167936\"]\n  14 -> 27 [size =\"16167936\"]\n  14 -> 29 [size =\"16167936\"]\n  14 -> 31 [size =\"16167936\"]\n  15 [size=\"104712192\", alpha=\"0.02\", expect_size=\"52356096\"] \n  15 -> 23 [size =\"52356096\"]\n  15 -> 24 [size =\"52356096\"]\n  15 -> 27 [size =\"52356096\"]\n  15 -> 31 [size =\"52356096\"]\n  16 [size=\"90578944\", alpha=\"0.07\", expect_size=\"45289472\"] \n  16 -> 24 [size =\"45289472\"]\n  16 -> 25 [size =\"45289472\"]\n  16 -> 29 [size =\"45289472\"]\n  17 [size=\"59238400\", alpha=\"0.12\", expect_size=\"29619200\"] \n  17 -> 27 [size =\"29619200\"]\n  17 -> 29 [size =\"29619200\"]\n  18 [size=\"15360000\", alpha=\"0.06\", expect_size=\"7680000\"] \n  18 -> 27 [size =\"7680000\"]\n  18 -> 30 [size =\"7680000\"]\n  19 [size=\"16633856\", alpha=\"0.08\", expect_size=\"8316928\"] \n  19 -> 26 [size =\"8316928\"]\n  19 -> 28 [size =\"8316928\"]\n  19 -> 30 [size =\"8316928\"]\n  20 [size=\"92413952\", alpha=\"0.18\", expect_size=\"46206976\"] \n  20 -> 24 [size =\"46206976\"]\n  20 -> 28 [size =\"46206976\"]\n  20 -> 30 [size =\"46206976\"]\n  21 [size=\"97740800\", alpha=\"0.14\", expect_size=\"48870400\"] \n  21 -> 29 [size =\"48870400\"]\n  21 -> 30 [size =\"48870400\"]\n  21 -> 32 [size =\"48870400\"]\n  22 [size=\"25509888\", alpha=\"0.06\", expect_size=\"12754944\"] \n  22 -> 28 [size =\"12754944\"]\n  22 -> 29 [size =\"12754944\"]\n  22 -> 30 [size =\"12754944\"]\n  23 [size=\"38017024\", alpha=\"0.09\", expect_size=\"19008512\"] \n  23 -> 34 [size =\"19008512\"]\n  23 -> 35 [size =\"19008512\"]\n  24 [size=\"42047488\", alpha=\"0.17\", expect_size=\"21023744\"] \n  24 -> 34 [size =\"21023744\"]\n  24 -> 35 [size =\"21023744\"]\n  25 [size=\"75096064\", alpha=\"0.05\", expect_size=\"37548032\"] \n  26 [size=\"86396928\", alpha=\"0.03\", expect_size=\"43198464\"] \n  26 -> 33 [size =\"43198464\"]\n  27 [size=\"24748032\", alpha=\"0.18\", expect_size=\"12374016\"] \n  27 -> 33 [size =\"12374016\"]\n  27 -> 35 [size =\"12374016\"]\n  28 [size=\"79349760\", alpha=\"0.02\", expect_size=\"39674880\"] \n  29 [size=\"13617152\", alpha=\"0.12\", expect_size=\"6808576\"] \n  29 -> 34 [size =\"6808576\"]\n  30 [size=\"50933760\", alpha=\"0.17\", expect_size=\"25466880\"] \n  30 -> 34 [size =\"25466880\"]\n  31 [size=\"42622976\", alpha=\"0.06\", expect_size=\"21311488\"] \n  31 -> 33 [size =\"21311488\"]\n  32 [size=\"12163072\", alpha=\"0.00\", expect_size=\"6081536\"] \n  32 -> 34 [size =\"6081536\"]\n  33 [size=\"38719488\", alpha=\"0.16\", expect_size=\"19359744\"] \n  34 [size=\"80637952\", alpha=\"0.16\", expect_size=\"40318976\"] \n  35 [size=\"65075200\", alpha=\"0.16\", expect_size=\"32537600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70660096\", alpha=\"0.02\", expect_size=\"35330048\"] \n  1 -> 17 [size =\"35330048\"]\n  1 -> 19 [size =\"35330048\"]\n  1 -> 24 [size =\"35330048\"]\n  1 -> 25 [size =\"35330048\"]\n  1 -> 26 [size =\"35330048\"]\n  2 [size=\"84176896\", alpha=\"0.10\", expect_size=\"42088448\"] \n  2 -> 17 [size =\"42088448\"]\n  2 -> 18 [size =\"42088448\"]\n  2 -> 26 [size =\"42088448\"]\n  2 -> 29 [size =\"42088448\"]\n  2 -> 30 [size =\"42088448\"]\n  2 -> 32 [size =\"42088448\"]\n  3 [size=\"50458624\", alpha=\"0.05\", expect_size=\"25229312\"] \n  3 -> 16 [size =\"25229312\"]\n  3 -> 17 [size =\"25229312\"]\n  3 -> 18 [size =\"25229312\"]\n  3 -> 21 [size =\"25229312\"]\n  4 [size=\"103434240\", alpha=\"0.06\", expect_size=\"51717120\"] \n  4 -> 16 [size =\"51717120\"]\n  4 -> 19 [size =\"51717120\"]\n  4 -> 21 [size =\"51717120\"]\n  4 -> 24 [size =\"51717120\"]\n  4 -> 25 [size =\"51717120\"]\n  4 -> 29 [size =\"51717120\"]\n  5 [size=\"74598400\", alpha=\"0.16\", expect_size=\"37299200\"] \n  5 -> 16 [size =\"37299200\"]\n  5 -> 21 [size =\"37299200\"]\n  5 -> 24 [size =\"37299200\"]\n  5 -> 28 [size =\"37299200\"]\n  5 -> 29 [size =\"37299200\"]\n  5 -> 29 [size =\"37299200\"]\n  5 -> 31 [size =\"37299200\"]\n  6 [size=\"79247360\", alpha=\"0.07\", expect_size=\"39623680\"] \n  6 -> 16 [size =\"39623680\"]\n  6 -> 21 [size =\"39623680\"]\n  6 -> 28 [size =\"39623680\"]\n  6 -> 30 [size =\"39623680\"]\n  6 -> 31 [size =\"39623680\"]\n  7 [size=\"35670016\", alpha=\"0.19\", expect_size=\"17835008\"] \n  7 -> 19 [size =\"17835008\"]\n  7 -> 25 [size =\"17835008\"]\n  7 -> 28 [size =\"17835008\"]\n  7 -> 31 [size =\"17835008\"]\n  8 [size=\"56066048\", alpha=\"0.13\", expect_size=\"28033024\"] \n  8 -> 17 [size =\"28033024\"]\n  8 -> 20 [size =\"28033024\"]\n  8 -> 21 [size =\"28033024\"]\n  8 -> 25 [size =\"28033024\"]\n  8 -> 28 [size =\"28033024\"]\n  9 [size=\"47398912\", alpha=\"0.14\", expect_size=\"23699456\"] \n  9 -> 23 [size =\"23699456\"]\n  9 -> 28 [size =\"23699456\"]\n  9 -> 30 [size =\"23699456\"]\n  10 [size=\"59475968\", alpha=\"0.19\", expect_size=\"29737984\"] \n  10 -> 19 [size =\"29737984\"]\n  10 -> 25 [size =\"29737984\"]\n  10 -> 26 [size =\"29737984\"]\n  10 -> 30 [size =\"29737984\"]\n  10 -> 32 [size =\"29737984\"]\n  11 [size=\"45852672\", alpha=\"0.11\", expect_size=\"22926336\"] \n  11 -> 16 [size =\"22926336\"]\n  11 -> 17 [size =\"22926336\"]\n  11 -> 18 [size =\"22926336\"]\n  11 -> 21 [size =\"22926336\"]\n  11 -> 29 [size =\"22926336\"]\n  11 -> 32 [size =\"22926336\"]\n  12 [size=\"56809472\", alpha=\"0.10\", expect_size=\"28404736\"] \n  12 -> 18 [size =\"28404736\"]\n  12 -> 21 [size =\"28404736\"]\n  12 -> 24 [size =\"28404736\"]\n  12 -> 28 [size =\"28404736\"]\n  12 -> 29 [size =\"28404736\"]\n  12 -> 31 [size =\"28404736\"]\n  13 [size=\"104417280\", alpha=\"0.01\", expect_size=\"52208640\"] \n  13 -> 18 [size =\"52208640\"]\n  13 -> 22 [size =\"52208640\"]\n  13 -> 28 [size =\"52208640\"]\n  13 -> 30 [size =\"52208640\"]\n  13 -> 31 [size =\"52208640\"]\n  13 -> 31 [size =\"52208640\"]\n  14 [size=\"31629312\", alpha=\"0.18\", expect_size=\"15814656\"] \n  14 -> 16 [size =\"15814656\"]\n  14 -> 25 [size =\"15814656\"]\n  14 -> 27 [size =\"15814656\"]\n  15 [size=\"58468352\", alpha=\"0.06\", expect_size=\"29234176\"] \n  15 -> 16 [size =\"29234176\"]\n  15 -> 23 [size =\"29234176\"]\n  15 -> 26 [size =\"29234176\"]\n  16 [size=\"38703104\", alpha=\"0.11\", expect_size=\"19351552\"] \n  16 -> 34 [size =\"19351552\"]\n  17 [size=\"72935424\", alpha=\"0.06\", expect_size=\"36467712\"] \n  18 [size=\"69476352\", alpha=\"0.14\", expect_size=\"34738176\"] \n  19 [size=\"34703360\", alpha=\"0.14\", expect_size=\"17351680\"] \n  19 -> 33 [size =\"17351680\"]\n  19 -> 34 [size =\"17351680\"]\n  20 [size=\"101163008\", alpha=\"0.16\", expect_size=\"50581504\"] \n  20 -> 34 [size =\"50581504\"]\n  21 [size=\"96622592\", alpha=\"0.11\", expect_size=\"48311296\"] \n  21 -> 33 [size =\"48311296\"]\n  22 [size=\"55578624\", alpha=\"0.01\", expect_size=\"27789312\"] \n  22 -> 33 [size =\"27789312\"]\n  23 [size=\"101789696\", alpha=\"0.20\", expect_size=\"50894848\"] \n  24 [size=\"13268992\", alpha=\"0.19\", expect_size=\"6634496\"] \n  25 [size=\"97024000\", alpha=\"0.11\", expect_size=\"48512000\"] \n  26 [size=\"28676096\", alpha=\"0.18\", expect_size=\"14338048\"] \n  26 -> 33 [size =\"14338048\"]\n  26 -> 34 [size =\"14338048\"]\n  27 [size=\"81598464\", alpha=\"0.10\", expect_size=\"40799232\"] \n  28 [size=\"17717248\", alpha=\"0.12\", expect_size=\"8858624\"] \n  28 -> 33 [size =\"8858624\"]\n  29 [size=\"84776960\", alpha=\"0.01\", expect_size=\"42388480\"] \n  30 [size=\"54812672\", alpha=\"0.01\", expect_size=\"27406336\"] \n  30 -> 35 [size =\"27406336\"]\n  31 [size=\"34738176\", alpha=\"0.09\", expect_size=\"17369088\"] \n  32 [size=\"84727808\", alpha=\"0.06\", expect_size=\"42363904\"] \n  32 -> 34 [size =\"42363904\"]\n  32 -> 35 [size =\"42363904\"]\n  33 [size=\"89729024\", alpha=\"0.03\", expect_size=\"44864512\"] \n  34 [size=\"89716736\", alpha=\"0.05\", expect_size=\"44858368\"] \n  35 [size=\"83269632\", alpha=\"0.17\", expect_size=\"41634816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66238464\", alpha=\"0.01\", expect_size=\"33119232\"] \n  1 -> 7 [size =\"33119232\"]\n  2 [size=\"37373952\", alpha=\"0.15\", expect_size=\"18686976\"] \n  2 -> 5 [size =\"18686976\"]\n  2 -> 6 [size =\"18686976\"]\n  2 -> 7 [size =\"18686976\"]\n  3 [size=\"66674688\", alpha=\"0.16\", expect_size=\"33337344\"] \n  3 -> 5 [size =\"33337344\"]\n  3 -> 6 [size =\"33337344\"]\n  4 [size=\"68161536\", alpha=\"0.00\", expect_size=\"34080768\"] \n  4 -> 6 [size =\"34080768\"]\n  4 -> 7 [size =\"34080768\"]\n  5 [size=\"45457408\", alpha=\"0.04\", expect_size=\"22728704\"] \n  5 -> 11 [size =\"22728704\"]\n  6 [size=\"98852864\", alpha=\"0.11\", expect_size=\"49426432\"] \n  6 -> 8 [size =\"49426432\"]\n  6 -> 10 [size =\"49426432\"]\n  6 -> 11 [size =\"49426432\"]\n  7 [size=\"36440064\", alpha=\"0.16\", expect_size=\"18220032\"] \n  7 -> 8 [size =\"18220032\"]\n  7 -> 9 [size =\"18220032\"]\n  7 -> 10 [size =\"18220032\"]\n  8 [size=\"80547840\", alpha=\"0.18\", expect_size=\"40273920\"] \n  8 -> 13 [size =\"40273920\"]\n  8 -> 15 [size =\"40273920\"]\n  8 -> 16 [size =\"40273920\"]\n  9 [size=\"29485056\", alpha=\"0.07\", expect_size=\"14742528\"] \n  10 [size=\"81893376\", alpha=\"0.08\", expect_size=\"40946688\"] \n  10 -> 12 [size =\"40946688\"]\n  10 -> 14 [size =\"40946688\"]\n  11 [size=\"92518400\", alpha=\"0.20\", expect_size=\"46259200\"] \n  11 -> 12 [size =\"46259200\"]\n  11 -> 13 [size =\"46259200\"]\n  12 [size=\"97148928\", alpha=\"0.08\", expect_size=\"48574464\"] \n  12 -> 17 [size =\"48574464\"]\n  12 -> 19 [size =\"48574464\"]\n  13 [size=\"74838016\", alpha=\"0.13\", expect_size=\"37419008\"] \n  13 -> 17 [size =\"37419008\"]\n  13 -> 18 [size =\"37419008\"]\n  13 -> 20 [size =\"37419008\"]\n  14 [size=\"57319424\", alpha=\"0.15\", expect_size=\"28659712\"] \n  14 -> 17 [size =\"28659712\"]\n  14 -> 20 [size =\"28659712\"]\n  15 [size=\"57497600\", alpha=\"0.08\", expect_size=\"28748800\"] \n  16 [size=\"76283904\", alpha=\"0.15\", expect_size=\"38141952\"] \n  17 [size=\"33198080\", alpha=\"0.18\", expect_size=\"16599040\"] \n  17 -> 21 [size =\"16599040\"]\n  17 -> 25 [size =\"16599040\"]\n  18 [size=\"16492544\", alpha=\"0.08\", expect_size=\"8246272\"] \n  18 -> 23 [size =\"8246272\"]\n  19 [size=\"100986880\", alpha=\"0.14\", expect_size=\"50493440\"] \n  19 -> 21 [size =\"50493440\"]\n  19 -> 22 [size =\"50493440\"]\n  19 -> 24 [size =\"50493440\"]\n  20 [size=\"41990144\", alpha=\"0.09\", expect_size=\"20995072\"] \n  20 -> 21 [size =\"20995072\"]\n  20 -> 22 [size =\"20995072\"]\n  20 -> 24 [size =\"20995072\"]\n  20 -> 25 [size =\"20995072\"]\n  21 [size=\"78559232\", alpha=\"0.17\", expect_size=\"39279616\"] \n  21 -> 28 [size =\"39279616\"]\n  22 [size=\"76341248\", alpha=\"0.10\", expect_size=\"38170624\"] \n  22 -> 27 [size =\"38170624\"]\n  22 -> 29 [size =\"38170624\"]\n  23 [size=\"19988480\", alpha=\"0.15\", expect_size=\"9994240\"] \n  23 -> 29 [size =\"9994240\"]\n  24 [size=\"81451008\", alpha=\"0.12\", expect_size=\"40725504\"] \n  24 -> 26 [size =\"40725504\"]\n  24 -> 29 [size =\"40725504\"]\n  24 -> 30 [size =\"40725504\"]\n  25 [size=\"58466304\", alpha=\"0.17\", expect_size=\"29233152\"] \n  26 [size=\"98123776\", alpha=\"0.20\", expect_size=\"49061888\"] \n  26 -> 31 [size =\"49061888\"]\n  26 -> 32 [size =\"49061888\"]\n  27 [size=\"75614208\", alpha=\"0.09\", expect_size=\"37807104\"] \n  27 -> 32 [size =\"37807104\"]\n  27 -> 33 [size =\"37807104\"]\n  28 [size=\"67377152\", alpha=\"0.12\", expect_size=\"33688576\"] \n  28 -> 33 [size =\"33688576\"]\n  29 [size=\"11927552\", alpha=\"0.00\", expect_size=\"5963776\"] \n  29 -> 31 [size =\"5963776\"]\n  29 -> 33 [size =\"5963776\"]\n  30 [size=\"76910592\", alpha=\"0.03\", expect_size=\"38455296\"] \n  31 [size=\"26509312\", alpha=\"0.03\", expect_size=\"13254656\"] \n  32 [size=\"10846208\", alpha=\"0.02\", expect_size=\"5423104\"] \n  32 -> 34 [size =\"5423104\"]\n  33 [size=\"56813568\", alpha=\"0.14\", expect_size=\"28406784\"] \n  33 -> 35 [size =\"28406784\"]\n  34 [size=\"31856640\", alpha=\"0.16\", expect_size=\"15928320\"] \n  35 [size=\"88020992\", alpha=\"0.08\", expect_size=\"44010496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64223232\", alpha=\"0.17\", expect_size=\"32111616\"] \n  1 -> 22 [size =\"32111616\"]\n  1 -> 24 [size =\"32111616\"]\n  1 -> 33 [size =\"32111616\"]\n  2 [size=\"10770432\", alpha=\"0.12\", expect_size=\"5385216\"] \n  2 -> 22 [size =\"5385216\"]\n  2 -> 29 [size =\"5385216\"]\n  2 -> 31 [size =\"5385216\"]\n  2 -> 32 [size =\"5385216\"]\n  3 [size=\"32241664\", alpha=\"0.12\", expect_size=\"16120832\"] \n  3 -> 22 [size =\"16120832\"]\n  3 -> 25 [size =\"16120832\"]\n  3 -> 27 [size =\"16120832\"]\n  3 -> 29 [size =\"16120832\"]\n  3 -> 31 [size =\"16120832\"]\n  3 -> 34 [size =\"16120832\"]\n  4 [size=\"93622272\", alpha=\"0.11\", expect_size=\"46811136\"] \n  4 -> 24 [size =\"46811136\"]\n  4 -> 25 [size =\"46811136\"]\n  4 -> 29 [size =\"46811136\"]\n  4 -> 31 [size =\"46811136\"]\n  4 -> 31 [size =\"46811136\"]\n  5 [size=\"34656256\", alpha=\"0.12\", expect_size=\"17328128\"] \n  5 -> 24 [size =\"17328128\"]\n  5 -> 25 [size =\"17328128\"]\n  5 -> 26 [size =\"17328128\"]\n  6 [size=\"43859968\", alpha=\"0.09\", expect_size=\"21929984\"] \n  6 -> 25 [size =\"21929984\"]\n  6 -> 27 [size =\"21929984\"]\n  6 -> 29 [size =\"21929984\"]\n  6 -> 35 [size =\"21929984\"]\n  7 [size=\"72675328\", alpha=\"0.02\", expect_size=\"36337664\"] \n  7 -> 27 [size =\"36337664\"]\n  7 -> 35 [size =\"36337664\"]\n  8 [size=\"100665344\", alpha=\"0.06\", expect_size=\"50332672\"] \n  8 -> 24 [size =\"50332672\"]\n  8 -> 26 [size =\"50332672\"]\n  9 [size=\"55728128\", alpha=\"0.17\", expect_size=\"27864064\"] \n  9 -> 24 [size =\"27864064\"]\n  9 -> 26 [size =\"27864064\"]\n  9 -> 28 [size =\"27864064\"]\n  9 -> 29 [size =\"27864064\"]\n  9 -> 32 [size =\"27864064\"]\n  10 [size=\"54810624\", alpha=\"0.18\", expect_size=\"27405312\"] \n  10 -> 22 [size =\"27405312\"]\n  10 -> 23 [size =\"27405312\"]\n  10 -> 34 [size =\"27405312\"]\n  11 [size=\"45512704\", alpha=\"0.07\", expect_size=\"22756352\"] \n  11 -> 22 [size =\"22756352\"]\n  11 -> 23 [size =\"22756352\"]\n  11 -> 26 [size =\"22756352\"]\n  11 -> 27 [size =\"22756352\"]\n  12 [size=\"31463424\", alpha=\"0.01\", expect_size=\"15731712\"] \n  12 -> 24 [size =\"15731712\"]\n  12 -> 26 [size =\"15731712\"]\n  12 -> 29 [size =\"15731712\"]\n  13 [size=\"88745984\", alpha=\"0.07\", expect_size=\"44372992\"] \n  13 -> 23 [size =\"44372992\"]\n  13 -> 27 [size =\"44372992\"]\n  13 -> 30 [size =\"44372992\"]\n  14 [size=\"52232192\", alpha=\"0.19\", expect_size=\"26116096\"] \n  14 -> 22 [size =\"26116096\"]\n  14 -> 25 [size =\"26116096\"]\n  14 -> 29 [size =\"26116096\"]\n  14 -> 30 [size =\"26116096\"]\n  14 -> 32 [size =\"26116096\"]\n  15 [size=\"102832128\", alpha=\"0.19\", expect_size=\"51416064\"] \n  15 -> 22 [size =\"51416064\"]\n  15 -> 26 [size =\"51416064\"]\n  15 -> 27 [size =\"51416064\"]\n  15 -> 30 [size =\"51416064\"]\n  15 -> 35 [size =\"51416064\"]\n  16 [size=\"66906112\", alpha=\"0.20\", expect_size=\"33453056\"] \n  16 -> 26 [size =\"33453056\"]\n  16 -> 26 [size =\"33453056\"]\n  16 -> 30 [size =\"33453056\"]\n  16 -> 30 [size =\"33453056\"]\n  16 -> 33 [size =\"33453056\"]\n  17 [size=\"13895680\", alpha=\"0.09\", expect_size=\"6947840\"] \n  17 -> 27 [size =\"6947840\"]\n  17 -> 31 [size =\"6947840\"]\n  18 [size=\"21547008\", alpha=\"0.18\", expect_size=\"10773504\"] \n  18 -> 27 [size =\"10773504\"]\n  18 -> 28 [size =\"10773504\"]\n  18 -> 29 [size =\"10773504\"]\n  18 -> 30 [size =\"10773504\"]\n  18 -> 33 [size =\"10773504\"]\n  18 -> 34 [size =\"10773504\"]\n  19 [size=\"51206144\", alpha=\"0.02\", expect_size=\"25603072\"] \n  19 -> 22 [size =\"25603072\"]\n  19 -> 27 [size =\"25603072\"]\n  19 -> 30 [size =\"25603072\"]\n  19 -> 35 [size =\"25603072\"]\n  20 [size=\"37435392\", alpha=\"0.12\", expect_size=\"18717696\"] \n  20 -> 22 [size =\"18717696\"]\n  20 -> 29 [size =\"18717696\"]\n  20 -> 30 [size =\"18717696\"]\n  20 -> 35 [size =\"18717696\"]\n  21 [size=\"30214144\", alpha=\"0.13\", expect_size=\"15107072\"] \n  21 -> 29 [size =\"15107072\"]\n  22 [size=\"62795776\", alpha=\"0.15\", expect_size=\"31397888\"] \n  23 [size=\"69849088\", alpha=\"0.01\", expect_size=\"34924544\"] \n  24 [size=\"102178816\", alpha=\"0.04\", expect_size=\"51089408\"] \n  25 [size=\"96468992\", alpha=\"0.13\", expect_size=\"48234496\"] \n  26 [size=\"93218816\", alpha=\"0.09\", expect_size=\"46609408\"] \n  27 [size=\"91049984\", alpha=\"0.18\", expect_size=\"45524992\"] \n  28 [size=\"41299968\", alpha=\"0.07\", expect_size=\"20649984\"] \n  29 [size=\"30779392\", alpha=\"0.04\", expect_size=\"15389696\"] \n  30 [size=\"38195200\", alpha=\"0.12\", expect_size=\"19097600\"] \n  31 [size=\"93085696\", alpha=\"0.06\", expect_size=\"46542848\"] \n  32 [size=\"60442624\", alpha=\"0.05\", expect_size=\"30221312\"] \n  33 [size=\"34926592\", alpha=\"0.01\", expect_size=\"17463296\"] \n  34 [size=\"38295552\", alpha=\"0.06\", expect_size=\"19147776\"] \n  35 [size=\"59314176\", alpha=\"0.10\", expect_size=\"29657088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71755093\", alpha=\"0.03\", expect_size=\"21526528\"] \n  1 -> 8 [size =\"21526528\"]\n  1 -> 9 [size =\"21526528\"]\n  2 [size=\"50394453\", alpha=\"0.03\", expect_size=\"15118336\"] \n  2 -> 7 [size =\"15118336\"]\n  3 [size=\"134662827\", alpha=\"0.20\", expect_size=\"40398848\"] \n  3 -> 8 [size =\"40398848\"]\n  4 [size=\"157351253\", alpha=\"0.05\", expect_size=\"47205376\"] \n  4 -> 7 [size =\"47205376\"]\n  5 [size=\"145271467\", alpha=\"0.20\", expect_size=\"43581440\"] \n  5 -> 9 [size =\"43581440\"]\n  6 [size=\"50278400\", alpha=\"0.06\", expect_size=\"15083520\"] \n  6 -> 9 [size =\"15083520\"]\n  7 [size=\"82274987\", alpha=\"0.01\", expect_size=\"24682496\"] \n  7 -> 11 [size =\"24682496\"]\n  7 -> 12 [size =\"24682496\"]\n  8 [size=\"35249493\", alpha=\"0.17\", expect_size=\"10574848\"] \n  8 -> 14 [size =\"10574848\"]\n  9 [size=\"71526400\", alpha=\"0.18\", expect_size=\"21457920\"] \n  9 -> 10 [size =\"21457920\"]\n  9 -> 13 [size =\"21457920\"]\n  9 -> 14 [size =\"21457920\"]\n  10 [size=\"27900587\", alpha=\"0.17\", expect_size=\"8370176\"] \n  10 -> 16 [size =\"8370176\"]\n  11 [size=\"59501227\", alpha=\"0.06\", expect_size=\"17850368\"] \n  11 -> 15 [size =\"17850368\"]\n  12 [size=\"80950613\", alpha=\"0.14\", expect_size=\"24285184\"] \n  13 [size=\"103693653\", alpha=\"0.03\", expect_size=\"31108096\"] \n  13 -> 15 [size =\"31108096\"]\n  13 -> 16 [size =\"31108096\"]\n  14 [size=\"101799253\", alpha=\"0.01\", expect_size=\"30539776\"] \n  14 -> 15 [size =\"30539776\"]\n  14 -> 16 [size =\"30539776\"]\n  15 [size=\"143940267\", alpha=\"0.03\", expect_size=\"43182080\"] \n  15 -> 18 [size =\"43182080\"]\n  15 -> 20 [size =\"43182080\"]\n  15 -> 22 [size =\"43182080\"]\n  16 [size=\"142885547\", alpha=\"0.10\", expect_size=\"42865664\"] \n  16 -> 17 [size =\"42865664\"]\n  16 -> 19 [size =\"42865664\"]\n  16 -> 21 [size =\"42865664\"]\n  17 [size=\"29655040\", alpha=\"0.02\", expect_size=\"8896512\"] \n  17 -> 23 [size =\"8896512\"]\n  18 [size=\"37038080\", alpha=\"0.17\", expect_size=\"11111424\"] \n  19 [size=\"168171520\", alpha=\"0.05\", expect_size=\"50451456\"] \n  19 -> 23 [size =\"50451456\"]\n  19 -> 25 [size =\"50451456\"]\n  20 [size=\"151866027\", alpha=\"0.03\", expect_size=\"45559808\"] \n  20 -> 24 [size =\"45559808\"]\n  20 -> 25 [size =\"45559808\"]\n  21 [size=\"128051200\", alpha=\"0.07\", expect_size=\"38415360\"] \n  21 -> 26 [size =\"38415360\"]\n  22 [size=\"173134507\", alpha=\"0.15\", expect_size=\"51940352\"] \n  22 -> 26 [size =\"51940352\"]\n  23 [size=\"123941547\", alpha=\"0.19\", expect_size=\"37182464\"] \n  23 -> 28 [size =\"37182464\"]\n  23 -> 29 [size =\"37182464\"]\n  24 [size=\"145012053\", alpha=\"0.20\", expect_size=\"43503616\"] \n  24 -> 27 [size =\"43503616\"]\n  24 -> 30 [size =\"43503616\"]\n  24 -> 31 [size =\"43503616\"]\n  24 -> 32 [size =\"43503616\"]\n  25 [size=\"150326613\", alpha=\"0.17\", expect_size=\"45097984\"] \n  25 -> 29 [size =\"45097984\"]\n  25 -> 33 [size =\"45097984\"]\n  26 [size=\"172455253\", alpha=\"0.19\", expect_size=\"51736576\"] \n  26 -> 31 [size =\"51736576\"]\n  26 -> 32 [size =\"51736576\"]\n  26 -> 33 [size =\"51736576\"]\n  27 [size=\"96829440\", alpha=\"0.08\", expect_size=\"29048832\"] \n  27 -> 34 [size =\"29048832\"]\n  27 -> 35 [size =\"29048832\"]\n  28 [size=\"113367040\", alpha=\"0.00\", expect_size=\"34010112\"] \n  28 -> 34 [size =\"34010112\"]\n  29 [size=\"89272320\", alpha=\"0.19\", expect_size=\"26781696\"] \n  29 -> 34 [size =\"26781696\"]\n  29 -> 35 [size =\"26781696\"]\n  30 [size=\"131000320\", alpha=\"0.19\", expect_size=\"39300096\"] \n  31 [size=\"151644160\", alpha=\"0.05\", expect_size=\"45493248\"] \n  32 [size=\"48199680\", alpha=\"0.19\", expect_size=\"14459904\"] \n  32 -> 35 [size =\"14459904\"]\n  33 [size=\"168157867\", alpha=\"0.03\", expect_size=\"50447360\"] \n  34 [size=\"156849493\", alpha=\"0.18\", expect_size=\"47054848\"] \n  35 [size=\"154152960\", alpha=\"0.10\", expect_size=\"46245888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43225088\", alpha=\"0.03\", expect_size=\"21612544\"] \n  1 -> 2 [size =\"21612544\"]\n  2 [size=\"76900352\", alpha=\"0.08\", expect_size=\"38450176\"] \n  2 -> 3 [size =\"38450176\"]\n  3 [size=\"94208000\", alpha=\"0.02\", expect_size=\"47104000\"] \n  3 -> 4 [size =\"47104000\"]\n  4 [size=\"35799040\", alpha=\"0.16\", expect_size=\"17899520\"] \n  4 -> 5 [size =\"17899520\"]\n  5 [size=\"101566464\", alpha=\"0.20\", expect_size=\"50783232\"] \n  5 -> 6 [size =\"50783232\"]\n  6 [size=\"21831680\", alpha=\"0.01\", expect_size=\"10915840\"] \n  6 -> 7 [size =\"10915840\"]\n  7 [size=\"35239936\", alpha=\"0.12\", expect_size=\"17619968\"] \n  7 -> 8 [size =\"17619968\"]\n  8 [size=\"64034816\", alpha=\"0.14\", expect_size=\"32017408\"] \n  8 -> 9 [size =\"32017408\"]\n  9 [size=\"88051712\", alpha=\"0.08\", expect_size=\"44025856\"] \n  9 -> 10 [size =\"44025856\"]\n  10 [size=\"103059456\", alpha=\"0.17\", expect_size=\"51529728\"] \n  10 -> 11 [size =\"51529728\"]\n  11 [size=\"81350656\", alpha=\"0.02\", expect_size=\"40675328\"] \n  11 -> 12 [size =\"40675328\"]\n  12 [size=\"97294336\", alpha=\"0.06\", expect_size=\"48647168\"] \n  12 -> 13 [size =\"48647168\"]\n  13 [size=\"41086976\", alpha=\"0.01\", expect_size=\"20543488\"] \n  13 -> 14 [size =\"20543488\"]\n  14 [size=\"52709376\", alpha=\"0.16\", expect_size=\"26354688\"] \n  14 -> 15 [size =\"26354688\"]\n  15 [size=\"31770624\", alpha=\"0.02\", expect_size=\"15885312\"] \n  15 -> 16 [size =\"15885312\"]\n  16 [size=\"29829120\", alpha=\"0.17\", expect_size=\"14914560\"] \n  16 -> 17 [size =\"14914560\"]\n  17 [size=\"32323584\", alpha=\"0.06\", expect_size=\"16161792\"] \n  17 -> 18 [size =\"16161792\"]\n  18 [size=\"91125760\", alpha=\"0.17\", expect_size=\"45562880\"] \n  18 -> 19 [size =\"45562880\"]\n  19 [size=\"63203328\", alpha=\"0.07\", expect_size=\"31601664\"] \n  19 -> 20 [size =\"31601664\"]\n  20 [size=\"99817472\", alpha=\"0.16\", expect_size=\"49908736\"] \n  20 -> 21 [size =\"49908736\"]\n  21 [size=\"87126016\", alpha=\"0.12\", expect_size=\"43563008\"] \n  21 -> 22 [size =\"43563008\"]\n  22 [size=\"97124352\", alpha=\"0.03\", expect_size=\"48562176\"] \n  22 -> 23 [size =\"48562176\"]\n  23 [size=\"32004096\", alpha=\"0.11\", expect_size=\"16002048\"] \n  23 -> 24 [size =\"16002048\"]\n  24 [size=\"38295552\", alpha=\"0.04\", expect_size=\"19147776\"] \n  24 -> 25 [size =\"19147776\"]\n  25 [size=\"18642944\", alpha=\"0.17\", expect_size=\"9321472\"] \n  25 -> 26 [size =\"9321472\"]\n  26 [size=\"26454016\", alpha=\"0.12\", expect_size=\"13227008\"] \n  26 -> 27 [size =\"13227008\"]\n  27 [size=\"14159872\", alpha=\"0.13\", expect_size=\"7079936\"] \n  27 -> 28 [size =\"7079936\"]\n  28 [size=\"42092544\", alpha=\"0.04\", expect_size=\"21046272\"] \n  28 -> 29 [size =\"21046272\"]\n  29 [size=\"26353664\", alpha=\"0.13\", expect_size=\"13176832\"] \n  29 -> 30 [size =\"13176832\"]\n  30 [size=\"58742784\", alpha=\"0.00\", expect_size=\"29371392\"] \n  30 -> 31 [size =\"29371392\"]\n  31 [size=\"40767488\", alpha=\"0.03\", expect_size=\"20383744\"] \n  31 -> 32 [size =\"20383744\"]\n  32 [size=\"99538944\", alpha=\"0.04\", expect_size=\"49769472\"] \n  32 -> 33 [size =\"49769472\"]\n  33 [size=\"18356224\", alpha=\"0.12\", expect_size=\"9178112\"] \n  33 -> 34 [size =\"9178112\"]\n  34 [size=\"69689344\", alpha=\"0.09\", expect_size=\"34844672\"] \n  34 -> 35 [size =\"34844672\"]\n  35 [size=\"90103808\", alpha=\"0.10\", expect_size=\"45051904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95726080\", alpha=\"0.18\", expect_size=\"38290432\"] \n  1 -> 13 [size =\"38290432\"]\n  1 -> 14 [size =\"38290432\"]\n  1 -> 15 [size =\"38290432\"]\n  1 -> 16 [size =\"38290432\"]\n  1 -> 17 [size =\"38290432\"]\n  1 -> 18 [size =\"38290432\"]\n  1 -> 19 [size =\"38290432\"]\n  1 -> 21 [size =\"38290432\"]\n  1 -> 22 [size =\"38290432\"]\n  1 -> 25 [size =\"38290432\"]\n  2 [size=\"33308160\", alpha=\"0.19\", expect_size=\"13323264\"] \n  2 -> 13 [size =\"13323264\"]\n  2 -> 14 [size =\"13323264\"]\n  2 -> 15 [size =\"13323264\"]\n  2 -> 16 [size =\"13323264\"]\n  2 -> 17 [size =\"13323264\"]\n  2 -> 18 [size =\"13323264\"]\n  2 -> 19 [size =\"13323264\"]\n  2 -> 24 [size =\"13323264\"]\n  3 [size=\"25328640\", alpha=\"0.01\", expect_size=\"10131456\"] \n  3 -> 14 [size =\"10131456\"]\n  3 -> 15 [size =\"10131456\"]\n  3 -> 16 [size =\"10131456\"]\n  3 -> 17 [size =\"10131456\"]\n  3 -> 18 [size =\"10131456\"]\n  3 -> 18 [size =\"10131456\"]\n  3 -> 19 [size =\"10131456\"]\n  3 -> 21 [size =\"10131456\"]\n  4 [size=\"36533760\", alpha=\"0.04\", expect_size=\"14613504\"] \n  4 -> 14 [size =\"14613504\"]\n  4 -> 16 [size =\"14613504\"]\n  4 -> 17 [size =\"14613504\"]\n  4 -> 18 [size =\"14613504\"]\n  4 -> 18 [size =\"14613504\"]\n  4 -> 21 [size =\"14613504\"]\n  4 -> 25 [size =\"14613504\"]\n  5 [size=\"114590720\", alpha=\"0.18\", expect_size=\"45836288\"] \n  5 -> 18 [size =\"45836288\"]\n  5 -> 19 [size =\"45836288\"]\n  5 -> 22 [size =\"45836288\"]\n  5 -> 25 [size =\"45836288\"]\n  6 [size=\"46059520\", alpha=\"0.19\", expect_size=\"18423808\"] \n  6 -> 14 [size =\"18423808\"]\n  6 -> 18 [size =\"18423808\"]\n  6 -> 19 [size =\"18423808\"]\n  6 -> 22 [size =\"18423808\"]\n  6 -> 24 [size =\"18423808\"]\n  7 [size=\"96496640\", alpha=\"0.19\", expect_size=\"38598656\"] \n  7 -> 14 [size =\"38598656\"]\n  7 -> 16 [size =\"38598656\"]\n  7 -> 19 [size =\"38598656\"]\n  7 -> 20 [size =\"38598656\"]\n  8 [size=\"51722240\", alpha=\"0.06\", expect_size=\"20688896\"] \n  8 -> 14 [size =\"20688896\"]\n  8 -> 16 [size =\"20688896\"]\n  8 -> 17 [size =\"20688896\"]\n  8 -> 21 [size =\"20688896\"]\n  8 -> 22 [size =\"20688896\"]\n  8 -> 23 [size =\"20688896\"]\n  9 [size=\"67878400\", alpha=\"0.05\", expect_size=\"27151360\"] \n  9 -> 13 [size =\"27151360\"]\n  9 -> 14 [size =\"27151360\"]\n  9 -> 15 [size =\"27151360\"]\n  9 -> 16 [size =\"27151360\"]\n  9 -> 17 [size =\"27151360\"]\n  9 -> 19 [size =\"27151360\"]\n  9 -> 21 [size =\"27151360\"]\n  9 -> 22 [size =\"27151360\"]\n  9 -> 25 [size =\"27151360\"]\n  10 [size=\"67161600\", alpha=\"0.06\", expect_size=\"26864640\"] \n  10 -> 13 [size =\"26864640\"]\n  10 -> 14 [size =\"26864640\"]\n  10 -> 17 [size =\"26864640\"]\n  10 -> 19 [size =\"26864640\"]\n  10 -> 20 [size =\"26864640\"]\n  10 -> 25 [size =\"26864640\"]\n  11 [size=\"100037120\", alpha=\"0.17\", expect_size=\"40014848\"] \n  11 -> 13 [size =\"40014848\"]\n  11 -> 14 [size =\"40014848\"]\n  11 -> 15 [size =\"40014848\"]\n  11 -> 16 [size =\"40014848\"]\n  11 -> 17 [size =\"40014848\"]\n  11 -> 18 [size =\"40014848\"]\n  11 -> 19 [size =\"40014848\"]\n  12 [size=\"86469120\", alpha=\"0.03\", expect_size=\"34587648\"] \n  12 -> 13 [size =\"34587648\"]\n  12 -> 14 [size =\"34587648\"]\n  12 -> 16 [size =\"34587648\"]\n  12 -> 17 [size =\"34587648\"]\n  12 -> 17 [size =\"34587648\"]\n  12 -> 18 [size =\"34587648\"]\n  12 -> 19 [size =\"34587648\"]\n  12 -> 22 [size =\"34587648\"]\n  13 [size=\"80709120\", alpha=\"0.06\", expect_size=\"32283648\"] \n  13 -> 27 [size =\"32283648\"]\n  13 -> 30 [size =\"32283648\"]\n  13 -> 31 [size =\"32283648\"]\n  14 [size=\"83927040\", alpha=\"0.11\", expect_size=\"33570816\"] \n  14 -> 30 [size =\"33570816\"]\n  14 -> 32 [size =\"33570816\"]\n  14 -> 33 [size =\"33570816\"]\n  14 -> 34 [size =\"33570816\"]\n  14 -> 35 [size =\"33570816\"]\n  15 [size=\"110041600\", alpha=\"0.18\", expect_size=\"44016640\"] \n  15 -> 27 [size =\"44016640\"]\n  15 -> 28 [size =\"44016640\"]\n  15 -> 29 [size =\"44016640\"]\n  15 -> 30 [size =\"44016640\"]\n  16 [size=\"99397120\", alpha=\"0.20\", expect_size=\"39758848\"] \n  16 -> 28 [size =\"39758848\"]\n  16 -> 28 [size =\"39758848\"]\n  16 -> 30 [size =\"39758848\"]\n  16 -> 30 [size =\"39758848\"]\n  16 -> 31 [size =\"39758848\"]\n  17 [size=\"93227520\", alpha=\"0.17\", expect_size=\"37291008\"] \n  17 -> 27 [size =\"37291008\"]\n  17 -> 28 [size =\"37291008\"]\n  17 -> 29 [size =\"37291008\"]\n  17 -> 30 [size =\"37291008\"]\n  17 -> 35 [size =\"37291008\"]\n  18 [size=\"86108160\", alpha=\"0.12\", expect_size=\"34443264\"] \n  18 -> 27 [size =\"34443264\"]\n  18 -> 28 [size =\"34443264\"]\n  18 -> 30 [size =\"34443264\"]\n  18 -> 31 [size =\"34443264\"]\n  18 -> 35 [size =\"34443264\"]\n  19 [size=\"123676160\", alpha=\"0.17\", expect_size=\"49470464\"] \n  19 -> 28 [size =\"49470464\"]\n  19 -> 28 [size =\"49470464\"]\n  19 -> 31 [size =\"49470464\"]\n  19 -> 33 [size =\"49470464\"]\n  19 -> 34 [size =\"49470464\"]\n  20 [size=\"32307200\", alpha=\"0.01\", expect_size=\"12922880\"] \n  20 -> 27 [size =\"12922880\"]\n  20 -> 32 [size =\"12922880\"]\n  20 -> 34 [size =\"12922880\"]\n  21 [size=\"65305600\", alpha=\"0.19\", expect_size=\"26122240\"] \n  21 -> 27 [size =\"26122240\"]\n  21 -> 32 [size =\"26122240\"]\n  21 -> 33 [size =\"26122240\"]\n  22 [size=\"49676800\", alpha=\"0.01\", expect_size=\"19870720\"] \n  22 -> 27 [size =\"19870720\"]\n  22 -> 28 [size =\"19870720\"]\n  22 -> 30 [size =\"19870720\"]\n  22 -> 32 [size =\"19870720\"]\n  22 -> 33 [size =\"19870720\"]\n  23 [size=\"67970560\", alpha=\"0.05\", expect_size=\"27188224\"] \n  23 -> 27 [size =\"27188224\"]\n  23 -> 33 [size =\"27188224\"]\n  23 -> 35 [size =\"27188224\"]\n  24 [size=\"104125440\", alpha=\"0.13\", expect_size=\"41650176\"] \n  24 -> 26 [size =\"41650176\"]\n  24 -> 27 [size =\"41650176\"]\n  24 -> 28 [size =\"41650176\"]\n  24 -> 30 [size =\"41650176\"]\n  24 -> 31 [size =\"41650176\"]\n  24 -> 33 [size =\"41650176\"]\n  25 [size=\"51054080\", alpha=\"0.18\", expect_size=\"20421632\"] \n  25 -> 27 [size =\"20421632\"]\n  25 -> 27 [size =\"20421632\"]\n  25 -> 28 [size =\"20421632\"]\n  25 -> 29 [size =\"20421632\"]\n  25 -> 30 [size =\"20421632\"]\n  25 -> 34 [size =\"20421632\"]\n  26 [size=\"38789120\", alpha=\"0.09\", expect_size=\"15515648\"] \n  27 [size=\"36610560\", alpha=\"0.14\", expect_size=\"14644224\"] \n  28 [size=\"21662720\", alpha=\"0.05\", expect_size=\"8665088\"] \n  29 [size=\"92861440\", alpha=\"0.06\", expect_size=\"37144576\"] \n  30 [size=\"72279040\", alpha=\"0.16\", expect_size=\"28911616\"] \n  31 [size=\"78064640\", alpha=\"0.01\", expect_size=\"31225856\"] \n  32 [size=\"74867200\", alpha=\"0.18\", expect_size=\"29946880\"] \n  33 [size=\"82895360\", alpha=\"0.06\", expect_size=\"33158144\"] \n  34 [size=\"114365440\", alpha=\"0.07\", expect_size=\"45746176\"] \n  35 [size=\"74749440\", alpha=\"0.04\", expect_size=\"29899776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125358080\", alpha=\"0.07\", expect_size=\"37607424\"] \n  1 -> 2 [size =\"37607424\"]\n  2 [size=\"27422720\", alpha=\"0.03\", expect_size=\"8226816\"] \n  2 -> 3 [size =\"8226816\"]\n  3 [size=\"132850347\", alpha=\"0.13\", expect_size=\"39855104\"] \n  3 -> 4 [size =\"39855104\"]\n  4 [size=\"108864853\", alpha=\"0.19\", expect_size=\"32659456\"] \n  4 -> 5 [size =\"32659456\"]\n  5 [size=\"141895680\", alpha=\"0.12\", expect_size=\"42568704\"] \n  5 -> 6 [size =\"42568704\"]\n  6 [size=\"49223680\", alpha=\"0.09\", expect_size=\"14767104\"] \n  6 -> 7 [size =\"14767104\"]\n  7 [size=\"96416427\", alpha=\"0.15\", expect_size=\"28924928\"] \n  7 -> 8 [size =\"28924928\"]\n  8 [size=\"48097280\", alpha=\"0.02\", expect_size=\"14429184\"] \n  8 -> 9 [size =\"14429184\"]\n  9 [size=\"112991573\", alpha=\"0.06\", expect_size=\"33897472\"] \n  9 -> 10 [size =\"33897472\"]\n  10 [size=\"55237973\", alpha=\"0.17\", expect_size=\"16571392\"] \n  10 -> 11 [size =\"16571392\"]\n  11 [size=\"130075307\", alpha=\"0.16\", expect_size=\"39022592\"] \n  11 -> 12 [size =\"39022592\"]\n  12 [size=\"31303680\", alpha=\"0.15\", expect_size=\"9391104\"] \n  12 -> 13 [size =\"9391104\"]\n  13 [size=\"54654293\", alpha=\"0.02\", expect_size=\"16396288\"] \n  13 -> 14 [size =\"16396288\"]\n  14 [size=\"157494613\", alpha=\"0.12\", expect_size=\"47248384\"] \n  14 -> 15 [size =\"47248384\"]\n  15 [size=\"147780267\", alpha=\"0.02\", expect_size=\"44334080\"] \n  15 -> 16 [size =\"44334080\"]\n  16 [size=\"86391467\", alpha=\"0.13\", expect_size=\"25917440\"] \n  16 -> 17 [size =\"25917440\"]\n  17 [size=\"154272427\", alpha=\"0.07\", expect_size=\"46281728\"] \n  17 -> 18 [size =\"46281728\"]\n  18 [size=\"111097173\", alpha=\"0.07\", expect_size=\"33329152\"] \n  18 -> 19 [size =\"33329152\"]\n  19 [size=\"125102080\", alpha=\"0.13\", expect_size=\"37530624\"] \n  19 -> 20 [size =\"37530624\"]\n  20 [size=\"170448213\", alpha=\"0.15\", expect_size=\"51134464\"] \n  20 -> 21 [size =\"51134464\"]\n  21 [size=\"150347093\", alpha=\"0.09\", expect_size=\"45104128\"] \n  21 -> 22 [size =\"45104128\"]\n  22 [size=\"116247893\", alpha=\"0.06\", expect_size=\"34874368\"] \n  22 -> 23 [size =\"34874368\"]\n  23 [size=\"77981013\", alpha=\"0.16\", expect_size=\"23394304\"] \n  23 -> 24 [size =\"23394304\"]\n  24 [size=\"90781013\", alpha=\"0.19\", expect_size=\"27234304\"] \n  24 -> 25 [size =\"27234304\"]\n  25 [size=\"29511680\", alpha=\"0.17\", expect_size=\"8853504\"] \n  25 -> 26 [size =\"8853504\"]\n  26 [size=\"41659733\", alpha=\"0.19\", expect_size=\"12497920\"] \n  26 -> 27 [size =\"12497920\"]\n  27 [size=\"141619200\", alpha=\"0.11\", expect_size=\"42485760\"] \n  27 -> 28 [size =\"42485760\"]\n  28 [size=\"43192320\", alpha=\"0.08\", expect_size=\"12957696\"] \n  28 -> 29 [size =\"12957696\"]\n  29 [size=\"98075307\", alpha=\"0.16\", expect_size=\"29422592\"] \n  29 -> 30 [size =\"29422592\"]\n  30 [size=\"46848000\", alpha=\"0.09\", expect_size=\"14054400\"] \n  30 -> 31 [size =\"14054400\"]\n  31 [size=\"161699840\", alpha=\"0.17\", expect_size=\"48509952\"] \n  31 -> 32 [size =\"48509952\"]\n  32 [size=\"78653440\", alpha=\"0.06\", expect_size=\"23596032\"] \n  32 -> 33 [size =\"23596032\"]\n  33 [size=\"122228053\", alpha=\"0.20\", expect_size=\"36668416\"] \n  33 -> 34 [size =\"36668416\"]\n  34 [size=\"93224960\", alpha=\"0.11\", expect_size=\"27967488\"] \n  34 -> 35 [size =\"27967488\"]\n  35 [size=\"83039573\", alpha=\"0.20\", expect_size=\"24911872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95115947\", alpha=\"0.07\", expect_size=\"28534784\"] \n  1 -> 24 [size =\"28534784\"]\n  1 -> 25 [size =\"28534784\"]\n  1 -> 26 [size =\"28534784\"]\n  1 -> 28 [size =\"28534784\"]\n  1 -> 31 [size =\"28534784\"]\n  1 -> 34 [size =\"28534784\"]\n  1 -> 35 [size =\"28534784\"]\n  2 [size=\"60497920\", alpha=\"0.09\", expect_size=\"18149376\"] \n  2 -> 24 [size =\"18149376\"]\n  2 -> 25 [size =\"18149376\"]\n  2 -> 26 [size =\"18149376\"]\n  2 -> 28 [size =\"18149376\"]\n  3 [size=\"45714773\", alpha=\"0.04\", expect_size=\"13714432\"] \n  3 -> 24 [size =\"13714432\"]\n  3 -> 28 [size =\"13714432\"]\n  3 -> 34 [size =\"13714432\"]\n  4 [size=\"124839253\", alpha=\"0.19\", expect_size=\"37451776\"] \n  4 -> 24 [size =\"37451776\"]\n  4 -> 25 [size =\"37451776\"]\n  4 -> 28 [size =\"37451776\"]\n  4 -> 29 [size =\"37451776\"]\n  4 -> 32 [size =\"37451776\"]\n  4 -> 33 [size =\"37451776\"]\n  4 -> 35 [size =\"37451776\"]\n  5 [size=\"48486400\", alpha=\"0.12\", expect_size=\"14545920\"] \n  5 -> 24 [size =\"14545920\"]\n  5 -> 25 [size =\"14545920\"]\n  5 -> 26 [size =\"14545920\"]\n  5 -> 32 [size =\"14545920\"]\n  6 [size=\"171318613\", alpha=\"0.05\", expect_size=\"51395584\"] \n  6 -> 24 [size =\"51395584\"]\n  6 -> 31 [size =\"51395584\"]\n  6 -> 33 [size =\"51395584\"]\n  6 -> 34 [size =\"51395584\"]\n  7 [size=\"135557120\", alpha=\"0.14\", expect_size=\"40667136\"] \n  7 -> 25 [size =\"40667136\"]\n  7 -> 26 [size =\"40667136\"]\n  7 -> 28 [size =\"40667136\"]\n  7 -> 29 [size =\"40667136\"]\n  7 -> 30 [size =\"40667136\"]\n  7 -> 33 [size =\"40667136\"]\n  8 [size=\"86749867\", alpha=\"0.03\", expect_size=\"26024960\"] \n  8 -> 26 [size =\"26024960\"]\n  8 -> 27 [size =\"26024960\"]\n  8 -> 29 [size =\"26024960\"]\n  8 -> 31 [size =\"26024960\"]\n  8 -> 33 [size =\"26024960\"]\n  9 [size=\"45325653\", alpha=\"0.12\", expect_size=\"13597696\"] \n  9 -> 25 [size =\"13597696\"]\n  9 -> 26 [size =\"13597696\"]\n  9 -> 30 [size =\"13597696\"]\n  9 -> 31 [size =\"13597696\"]\n  10 [size=\"96771413\", alpha=\"0.01\", expect_size=\"29031424\"] \n  10 -> 24 [size =\"29031424\"]\n  10 -> 25 [size =\"29031424\"]\n  10 -> 26 [size =\"29031424\"]\n  10 -> 28 [size =\"29031424\"]\n  10 -> 31 [size =\"29031424\"]\n  11 [size=\"51322880\", alpha=\"0.11\", expect_size=\"15396864\"] \n  11 -> 24 [size =\"15396864\"]\n  11 -> 25 [size =\"15396864\"]\n  11 -> 26 [size =\"15396864\"]\n  11 -> 30 [size =\"15396864\"]\n  11 -> 31 [size =\"15396864\"]\n  11 -> 32 [size =\"15396864\"]\n  12 [size=\"103096320\", alpha=\"0.03\", expect_size=\"30928896\"] \n  12 -> 24 [size =\"30928896\"]\n  12 -> 25 [size =\"30928896\"]\n  12 -> 31 [size =\"30928896\"]\n  13 [size=\"20346880\", alpha=\"0.12\", expect_size=\"6104064\"] \n  13 -> 24 [size =\"6104064\"]\n  13 -> 26 [size =\"6104064\"]\n  13 -> 28 [size =\"6104064\"]\n  13 -> 35 [size =\"6104064\"]\n  14 [size=\"51271680\", alpha=\"0.08\", expect_size=\"15381504\"] \n  14 -> 24 [size =\"15381504\"]\n  14 -> 28 [size =\"15381504\"]\n  14 -> 34 [size =\"15381504\"]\n  15 [size=\"44878507\", alpha=\"0.02\", expect_size=\"13463552\"] \n  15 -> 24 [size =\"13463552\"]\n  15 -> 25 [size =\"13463552\"]\n  15 -> 28 [size =\"13463552\"]\n  15 -> 29 [size =\"13463552\"]\n  15 -> 30 [size =\"13463552\"]\n  15 -> 31 [size =\"13463552\"]\n  15 -> 33 [size =\"13463552\"]\n  16 [size=\"136499200\", alpha=\"0.14\", expect_size=\"40949760\"] \n  16 -> 24 [size =\"40949760\"]\n  16 -> 25 [size =\"40949760\"]\n  16 -> 26 [size =\"40949760\"]\n  16 -> 31 [size =\"40949760\"]\n  16 -> 33 [size =\"40949760\"]\n  17 [size=\"17732267\", alpha=\"0.12\", expect_size=\"5319680\"] \n  17 -> 24 [size =\"5319680\"]\n  17 -> 25 [size =\"5319680\"]\n  17 -> 26 [size =\"5319680\"]\n  17 -> 31 [size =\"5319680\"]\n  17 -> 33 [size =\"5319680\"]\n  18 [size=\"130542933\", alpha=\"0.18\", expect_size=\"39162880\"] \n  18 -> 26 [size =\"39162880\"]\n  18 -> 31 [size =\"39162880\"]\n  18 -> 35 [size =\"39162880\"]\n  19 [size=\"156371627\", alpha=\"0.13\", expect_size=\"46911488\"] \n  19 -> 24 [size =\"46911488\"]\n  19 -> 25 [size =\"46911488\"]\n  19 -> 26 [size =\"46911488\"]\n  19 -> 30 [size =\"46911488\"]\n  19 -> 31 [size =\"46911488\"]\n  20 [size=\"95317333\", alpha=\"0.12\", expect_size=\"28595200\"] \n  20 -> 26 [size =\"28595200\"]\n  20 -> 30 [size =\"28595200\"]\n  20 -> 31 [size =\"28595200\"]\n  21 [size=\"103222613\", alpha=\"0.01\", expect_size=\"30966784\"] \n  21 -> 25 [size =\"30966784\"]\n  21 -> 26 [size =\"30966784\"]\n  21 -> 28 [size =\"30966784\"]\n  21 -> 31 [size =\"30966784\"]\n  22 [size=\"30105600\", alpha=\"0.15\", expect_size=\"9031680\"] \n  22 -> 25 [size =\"9031680\"]\n  22 -> 26 [size =\"9031680\"]\n  22 -> 28 [size =\"9031680\"]\n  22 -> 31 [size =\"9031680\"]\n  22 -> 32 [size =\"9031680\"]\n  23 [size=\"54528000\", alpha=\"0.13\", expect_size=\"16358400\"] \n  23 -> 24 [size =\"16358400\"]\n  23 -> 25 [size =\"16358400\"]\n  23 -> 26 [size =\"16358400\"]\n  23 -> 28 [size =\"16358400\"]\n  23 -> 31 [size =\"16358400\"]\n  24 [size=\"149422080\", alpha=\"0.04\", expect_size=\"44826624\"] \n  25 [size=\"57265493\", alpha=\"0.19\", expect_size=\"17179648\"] \n  26 [size=\"76335787\", alpha=\"0.14\", expect_size=\"22900736\"] \n  27 [size=\"26569387\", alpha=\"0.04\", expect_size=\"7970816\"] \n  28 [size=\"124054187\", alpha=\"0.03\", expect_size=\"37216256\"] \n  29 [size=\"105260373\", alpha=\"0.06\", expect_size=\"31578112\"] \n  30 [size=\"49404587\", alpha=\"0.18\", expect_size=\"14821376\"] \n  31 [size=\"142042453\", alpha=\"0.15\", expect_size=\"42612736\"] \n  32 [size=\"146247680\", alpha=\"0.02\", expect_size=\"43874304\"] \n  33 [size=\"105041920\", alpha=\"0.10\", expect_size=\"31512576\"] \n  34 [size=\"46663680\", alpha=\"0.03\", expect_size=\"13999104\"] \n  35 [size=\"78479360\", alpha=\"0.18\", expect_size=\"23543808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78946304\", alpha=\"0.02\", expect_size=\"39473152\"] \n  1 -> 2 [size =\"39473152\"]\n  2 [size=\"25700352\", alpha=\"0.03\", expect_size=\"12850176\"] \n  2 -> 3 [size =\"12850176\"]\n  2 -> 4 [size =\"12850176\"]\n  3 [size=\"27680768\", alpha=\"0.03\", expect_size=\"13840384\"] \n  3 -> 5 [size =\"13840384\"]\n  4 [size=\"84211712\", alpha=\"0.17\", expect_size=\"42105856\"] \n  4 -> 5 [size =\"42105856\"]\n  5 [size=\"104523776\", alpha=\"0.09\", expect_size=\"52261888\"] \n  5 -> 6 [size =\"52261888\"]\n  5 -> 7 [size =\"52261888\"]\n  6 [size=\"37574656\", alpha=\"0.03\", expect_size=\"18787328\"] \n  6 -> 8 [size =\"18787328\"]\n  7 [size=\"38187008\", alpha=\"0.15\", expect_size=\"19093504\"] \n  8 [size=\"102412288\", alpha=\"0.14\", expect_size=\"51206144\"] \n  8 -> 9 [size =\"51206144\"]\n  8 -> 10 [size =\"51206144\"]\n  9 [size=\"103075840\", alpha=\"0.05\", expect_size=\"51537920\"] \n  9 -> 11 [size =\"51537920\"]\n  9 -> 12 [size =\"51537920\"]\n  10 [size=\"46092288\", alpha=\"0.08\", expect_size=\"23046144\"] \n  10 -> 12 [size =\"23046144\"]\n  11 [size=\"63449088\", alpha=\"0.10\", expect_size=\"31724544\"] \n  11 -> 13 [size =\"31724544\"]\n  12 [size=\"72755200\", alpha=\"0.07\", expect_size=\"36377600\"] \n  12 -> 13 [size =\"36377600\"]\n  13 [size=\"85489664\", alpha=\"0.06\", expect_size=\"42744832\"] \n  13 -> 14 [size =\"42744832\"]\n  14 [size=\"101875712\", alpha=\"0.08\", expect_size=\"50937856\"] \n  14 -> 15 [size =\"50937856\"]\n  14 -> 16 [size =\"50937856\"]\n  15 [size=\"89878528\", alpha=\"0.07\", expect_size=\"44939264\"] \n  15 -> 17 [size =\"44939264\"]\n  16 [size=\"36984832\", alpha=\"0.08\", expect_size=\"18492416\"] \n  16 -> 17 [size =\"18492416\"]\n  17 [size=\"51945472\", alpha=\"0.11\", expect_size=\"25972736\"] \n  17 -> 18 [size =\"25972736\"]\n  18 [size=\"26079232\", alpha=\"0.08\", expect_size=\"13039616\"] \n  18 -> 19 [size =\"13039616\"]\n  18 -> 20 [size =\"13039616\"]\n  19 [size=\"89999360\", alpha=\"0.03\", expect_size=\"44999680\"] \n  19 -> 21 [size =\"44999680\"]\n  19 -> 22 [size =\"44999680\"]\n  20 [size=\"19505152\", alpha=\"0.19\", expect_size=\"9752576\"] \n  20 -> 21 [size =\"9752576\"]\n  21 [size=\"55810048\", alpha=\"0.10\", expect_size=\"27905024\"] \n  22 [size=\"104726528\", alpha=\"0.04\", expect_size=\"52363264\"] \n  22 -> 23 [size =\"52363264\"]\n  22 -> 24 [size =\"52363264\"]\n  23 [size=\"41340928\", alpha=\"0.02\", expect_size=\"20670464\"] \n  23 -> 25 [size =\"20670464\"]\n  23 -> 26 [size =\"20670464\"]\n  24 [size=\"69279744\", alpha=\"0.15\", expect_size=\"34639872\"] \n  24 -> 25 [size =\"34639872\"]\n  24 -> 26 [size =\"34639872\"]\n  25 [size=\"11880448\", alpha=\"0.08\", expect_size=\"5940224\"] \n  25 -> 27 [size =\"5940224\"]\n  26 [size=\"43298816\", alpha=\"0.07\", expect_size=\"21649408\"] \n  26 -> 27 [size =\"21649408\"]\n  27 [size=\"80590848\", alpha=\"0.12\", expect_size=\"40295424\"] \n  27 -> 28 [size =\"40295424\"]\n  27 -> 29 [size =\"40295424\"]\n  28 [size=\"40456192\", alpha=\"0.16\", expect_size=\"20228096\"] \n  28 -> 30 [size =\"20228096\"]\n  28 -> 31 [size =\"20228096\"]\n  29 [size=\"76800000\", alpha=\"0.00\", expect_size=\"38400000\"] \n  29 -> 31 [size =\"38400000\"]\n  30 [size=\"90873856\", alpha=\"0.12\", expect_size=\"45436928\"] \n  30 -> 32 [size =\"45436928\"]\n  31 [size=\"87382016\", alpha=\"0.14\", expect_size=\"43691008\"] \n  31 -> 32 [size =\"43691008\"]\n  32 [size=\"40413184\", alpha=\"0.10\", expect_size=\"20206592\"] \n  32 -> 33 [size =\"20206592\"]\n  33 [size=\"59555840\", alpha=\"0.02\", expect_size=\"29777920\"] \n  33 -> 34 [size =\"29777920\"]\n  34 [size=\"67635200\", alpha=\"0.13\", expect_size=\"33817600\"] \n  34 -> 35 [size =\"33817600\"]\n  35 [size=\"44003328\", alpha=\"0.01\", expect_size=\"22001664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45769387\", alpha=\"0.04\", expect_size=\"13730816\"] \n  1 -> 2 [size =\"13730816\"]\n  2 [size=\"148408320\", alpha=\"0.09\", expect_size=\"44522496\"] \n  2 -> 3 [size =\"44522496\"]\n  3 [size=\"106400427\", alpha=\"0.18\", expect_size=\"31920128\"] \n  3 -> 4 [size =\"31920128\"]\n  4 [size=\"53671253\", alpha=\"0.09\", expect_size=\"16101376\"] \n  4 -> 5 [size =\"16101376\"]\n  5 [size=\"23343787\", alpha=\"0.05\", expect_size=\"7003136\"] \n  5 -> 6 [size =\"7003136\"]\n  6 [size=\"163403093\", alpha=\"0.08\", expect_size=\"49020928\"] \n  6 -> 7 [size =\"49020928\"]\n  7 [size=\"88954880\", alpha=\"0.12\", expect_size=\"26686464\"] \n  7 -> 8 [size =\"26686464\"]\n  8 [size=\"22845440\", alpha=\"0.13\", expect_size=\"6853632\"] \n  8 -> 9 [size =\"6853632\"]\n  9 [size=\"19732480\", alpha=\"0.11\", expect_size=\"5919744\"] \n  9 -> 10 [size =\"5919744\"]\n  10 [size=\"153760427\", alpha=\"0.13\", expect_size=\"46128128\"] \n  10 -> 11 [size =\"46128128\"]\n  11 [size=\"172219733\", alpha=\"0.19\", expect_size=\"51665920\"] \n  11 -> 12 [size =\"51665920\"]\n  12 [size=\"43496107\", alpha=\"0.12\", expect_size=\"13048832\"] \n  12 -> 13 [size =\"13048832\"]\n  13 [size=\"117152427\", alpha=\"0.02\", expect_size=\"35145728\"] \n  13 -> 14 [size =\"35145728\"]\n  14 [size=\"98945707\", alpha=\"0.15\", expect_size=\"29683712\"] \n  14 -> 15 [size =\"29683712\"]\n  15 [size=\"166553600\", alpha=\"0.19\", expect_size=\"49966080\"] \n  15 -> 16 [size =\"49966080\"]\n  16 [size=\"50957653\", alpha=\"0.03\", expect_size=\"15287296\"] \n  16 -> 17 [size =\"15287296\"]\n  17 [size=\"116722347\", alpha=\"0.16\", expect_size=\"35016704\"] \n  17 -> 18 [size =\"35016704\"]\n  18 [size=\"53346987\", alpha=\"0.09\", expect_size=\"16004096\"] \n  18 -> 19 [size =\"16004096\"]\n  19 [size=\"154484053\", alpha=\"0.08\", expect_size=\"46345216\"] \n  19 -> 20 [size =\"46345216\"]\n  20 [size=\"83756373\", alpha=\"0.18\", expect_size=\"25126912\"] \n  20 -> 21 [size =\"25126912\"]\n  21 [size=\"30446933\", alpha=\"0.12\", expect_size=\"9134080\"] \n  21 -> 22 [size =\"9134080\"]\n  22 [size=\"19060053\", alpha=\"0.03\", expect_size=\"5718016\"] \n  22 -> 23 [size =\"5718016\"]\n  23 [size=\"112544427\", alpha=\"0.05\", expect_size=\"33763328\"] \n  23 -> 24 [size =\"33763328\"]\n  24 [size=\"126634667\", alpha=\"0.12\", expect_size=\"37990400\"] \n  24 -> 25 [size =\"37990400\"]\n  25 [size=\"86736213\", alpha=\"0.19\", expect_size=\"26020864\"] \n  25 -> 26 [size =\"26020864\"]\n  26 [size=\"76605440\", alpha=\"0.05\", expect_size=\"22981632\"] \n  26 -> 27 [size =\"22981632\"]\n  27 [size=\"102058667\", alpha=\"0.01\", expect_size=\"30617600\"] \n  27 -> 28 [size =\"30617600\"]\n  28 [size=\"72014507\", alpha=\"0.16\", expect_size=\"21604352\"] \n  28 -> 29 [size =\"21604352\"]\n  29 [size=\"145541120\", alpha=\"0.12\", expect_size=\"43662336\"] \n  29 -> 30 [size =\"43662336\"]\n  30 [size=\"47964160\", alpha=\"0.06\", expect_size=\"14389248\"] \n  30 -> 31 [size =\"14389248\"]\n  31 [size=\"33447253\", alpha=\"0.19\", expect_size=\"10034176\"] \n  31 -> 32 [size =\"10034176\"]\n  32 [size=\"130276693\", alpha=\"0.15\", expect_size=\"39083008\"] \n  32 -> 33 [size =\"39083008\"]\n  33 [size=\"154818560\", alpha=\"0.04\", expect_size=\"46445568\"] \n  33 -> 34 [size =\"46445568\"]\n  34 [size=\"38710613\", alpha=\"0.04\", expect_size=\"11613184\"] \n  34 -> 35 [size =\"11613184\"]\n  35 [size=\"132720640\", alpha=\"0.02\", expect_size=\"39816192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95846400\", alpha=\"0.09\", expect_size=\"28753920\"] \n  1 -> 2 [size =\"28753920\"]\n  2 [size=\"133758293\", alpha=\"0.08\", expect_size=\"40127488\"] \n  2 -> 3 [size =\"40127488\"]\n  3 [size=\"94419627\", alpha=\"0.12\", expect_size=\"28325888\"] \n  3 -> 4 [size =\"28325888\"]\n  4 [size=\"136243200\", alpha=\"0.01\", expect_size=\"40872960\"] \n  4 -> 5 [size =\"40872960\"]\n  5 [size=\"162580480\", alpha=\"0.06\", expect_size=\"48774144\"] \n  5 -> 6 [size =\"48774144\"]\n  6 [size=\"38420480\", alpha=\"0.01\", expect_size=\"11526144\"] \n  6 -> 7 [size =\"11526144\"]\n  7 [size=\"105762133\", alpha=\"0.04\", expect_size=\"31728640\"] \n  7 -> 8 [size =\"31728640\"]\n  8 [size=\"111015253\", alpha=\"0.03\", expect_size=\"33304576\"] \n  8 -> 9 [size =\"33304576\"]\n  9 [size=\"136113493\", alpha=\"0.15\", expect_size=\"40834048\"] \n  9 -> 10 [size =\"40834048\"]\n  10 [size=\"17728853\", alpha=\"0.04\", expect_size=\"5318656\"] \n  10 -> 11 [size =\"5318656\"]\n  11 [size=\"120251733\", alpha=\"0.15\", expect_size=\"36075520\"] \n  11 -> 12 [size =\"36075520\"]\n  12 [size=\"31716693\", alpha=\"0.17\", expect_size=\"9515008\"] \n  12 -> 13 [size =\"9515008\"]\n  13 [size=\"93402453\", alpha=\"0.01\", expect_size=\"28020736\"] \n  13 -> 14 [size =\"28020736\"]\n  14 [size=\"32027307\", alpha=\"0.18\", expect_size=\"9608192\"] \n  14 -> 15 [size =\"9608192\"]\n  15 [size=\"43632640\", alpha=\"0.06\", expect_size=\"13089792\"] \n  15 -> 16 [size =\"13089792\"]\n  16 [size=\"90006187\", alpha=\"0.18\", expect_size=\"27001856\"] \n  16 -> 17 [size =\"27001856\"]\n  17 [size=\"98812587\", alpha=\"0.14\", expect_size=\"29643776\"] \n  17 -> 18 [size =\"29643776\"]\n  18 [size=\"129338027\", alpha=\"0.07\", expect_size=\"38801408\"] \n  18 -> 19 [size =\"38801408\"]\n  19 [size=\"149998933\", alpha=\"0.19\", expect_size=\"44999680\"] \n  19 -> 20 [size =\"44999680\"]\n  20 [size=\"114059947\", alpha=\"0.02\", expect_size=\"34217984\"] \n  20 -> 21 [size =\"34217984\"]\n  21 [size=\"148787200\", alpha=\"0.14\", expect_size=\"44636160\"] \n  21 -> 22 [size =\"44636160\"]\n  22 [size=\"112298667\", alpha=\"0.02\", expect_size=\"33689600\"] \n  22 -> 23 [size =\"33689600\"]\n  23 [size=\"85070507\", alpha=\"0.19\", expect_size=\"25521152\"] \n  23 -> 24 [size =\"25521152\"]\n  24 [size=\"91142827\", alpha=\"0.12\", expect_size=\"27342848\"] \n  24 -> 25 [size =\"27342848\"]\n  25 [size=\"74704213\", alpha=\"0.03\", expect_size=\"22411264\"] \n  25 -> 26 [size =\"22411264\"]\n  26 [size=\"124054187\", alpha=\"0.16\", expect_size=\"37216256\"] \n  26 -> 27 [size =\"37216256\"]\n  27 [size=\"110503253\", alpha=\"0.01\", expect_size=\"33150976\"] \n  27 -> 28 [size =\"33150976\"]\n  28 [size=\"59692373\", alpha=\"0.18\", expect_size=\"17907712\"] \n  28 -> 29 [size =\"17907712\"]\n  29 [size=\"117917013\", alpha=\"0.10\", expect_size=\"35375104\"] \n  29 -> 30 [size =\"35375104\"]\n  30 [size=\"109015040\", alpha=\"0.01\", expect_size=\"32704512\"] \n  30 -> 31 [size =\"32704512\"]\n  31 [size=\"122241707\", alpha=\"0.06\", expect_size=\"36672512\"] \n  31 -> 32 [size =\"36672512\"]\n  32 [size=\"78677333\", alpha=\"0.13\", expect_size=\"23603200\"] \n  32 -> 33 [size =\"23603200\"]\n  33 [size=\"94610773\", alpha=\"0.09\", expect_size=\"28383232\"] \n  33 -> 34 [size =\"28383232\"]\n  34 [size=\"89695573\", alpha=\"0.07\", expect_size=\"26908672\"] \n  34 -> 35 [size =\"26908672\"]\n  35 [size=\"25415680\", alpha=\"0.09\", expect_size=\"7624704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42559488\", alpha=\"0.15\", expect_size=\"21279744\"] \n  1 -> 2 [size =\"21279744\"]\n  2 [size=\"27025408\", alpha=\"0.17\", expect_size=\"13512704\"] \n  2 -> 3 [size =\"13512704\"]\n  3 [size=\"52891648\", alpha=\"0.18\", expect_size=\"26445824\"] \n  3 -> 4 [size =\"26445824\"]\n  4 [size=\"41183232\", alpha=\"0.06\", expect_size=\"20591616\"] \n  4 -> 5 [size =\"20591616\"]\n  5 [size=\"44828672\", alpha=\"0.08\", expect_size=\"22414336\"] \n  5 -> 6 [size =\"22414336\"]\n  6 [size=\"48988160\", alpha=\"0.16\", expect_size=\"24494080\"] \n  6 -> 7 [size =\"24494080\"]\n  7 [size=\"34428928\", alpha=\"0.18\", expect_size=\"17214464\"] \n  7 -> 8 [size =\"17214464\"]\n  8 [size=\"82233344\", alpha=\"0.05\", expect_size=\"41116672\"] \n  8 -> 9 [size =\"41116672\"]\n  9 [size=\"22050816\", alpha=\"0.12\", expect_size=\"11025408\"] \n  9 -> 10 [size =\"11025408\"]\n  10 [size=\"85317632\", alpha=\"0.19\", expect_size=\"42658816\"] \n  10 -> 11 [size =\"42658816\"]\n  11 [size=\"58843136\", alpha=\"0.06\", expect_size=\"29421568\"] \n  11 -> 12 [size =\"29421568\"]\n  12 [size=\"33536000\", alpha=\"0.05\", expect_size=\"16768000\"] \n  12 -> 13 [size =\"16768000\"]\n  13 [size=\"20539392\", alpha=\"0.04\", expect_size=\"10269696\"] \n  13 -> 14 [size =\"10269696\"]\n  14 [size=\"104493056\", alpha=\"0.16\", expect_size=\"52246528\"] \n  14 -> 15 [size =\"52246528\"]\n  15 [size=\"36655104\", alpha=\"0.10\", expect_size=\"18327552\"] \n  15 -> 16 [size =\"18327552\"]\n  16 [size=\"74258432\", alpha=\"0.10\", expect_size=\"37129216\"] \n  16 -> 17 [size =\"37129216\"]\n  17 [size=\"53460992\", alpha=\"0.19\", expect_size=\"26730496\"] \n  17 -> 18 [size =\"26730496\"]\n  18 [size=\"43112448\", alpha=\"0.15\", expect_size=\"21556224\"] \n  18 -> 19 [size =\"21556224\"]\n  19 [size=\"65230848\", alpha=\"0.12\", expect_size=\"32615424\"] \n  19 -> 20 [size =\"32615424\"]\n  20 [size=\"29820928\", alpha=\"0.19\", expect_size=\"14910464\"] \n  20 -> 21 [size =\"14910464\"]\n  21 [size=\"23457792\", alpha=\"0.13\", expect_size=\"11728896\"] \n  21 -> 22 [size =\"11728896\"]\n  22 [size=\"50192384\", alpha=\"0.10\", expect_size=\"25096192\"] \n  22 -> 23 [size =\"25096192\"]\n  23 [size=\"74784768\", alpha=\"0.17\", expect_size=\"37392384\"] \n  23 -> 24 [size =\"37392384\"]\n  24 [size=\"95467520\", alpha=\"0.09\", expect_size=\"47733760\"] \n  24 -> 25 [size =\"47733760\"]\n  25 [size=\"77682688\", alpha=\"0.10\", expect_size=\"38841344\"] \n  25 -> 26 [size =\"38841344\"]\n  26 [size=\"30531584\", alpha=\"0.18\", expect_size=\"15265792\"] \n  26 -> 27 [size =\"15265792\"]\n  27 [size=\"79935488\", alpha=\"0.12\", expect_size=\"39967744\"] \n  27 -> 28 [size =\"39967744\"]\n  28 [size=\"76263424\", alpha=\"0.00\", expect_size=\"38131712\"] \n  28 -> 29 [size =\"38131712\"]\n  29 [size=\"53567488\", alpha=\"0.11\", expect_size=\"26783744\"] \n  29 -> 30 [size =\"26783744\"]\n  30 [size=\"13840384\", alpha=\"0.18\", expect_size=\"6920192\"] \n  30 -> 31 [size =\"6920192\"]\n  31 [size=\"102180864\", alpha=\"0.15\", expect_size=\"51090432\"] \n  31 -> 32 [size =\"51090432\"]\n  32 [size=\"67545088\", alpha=\"0.18\", expect_size=\"33772544\"] \n  32 -> 33 [size =\"33772544\"]\n  33 [size=\"20850688\", alpha=\"0.02\", expect_size=\"10425344\"] \n  33 -> 34 [size =\"10425344\"]\n  34 [size=\"98873344\", alpha=\"0.06\", expect_size=\"49436672\"] \n  34 -> 35 [size =\"49436672\"]\n  35 [size=\"49197056\", alpha=\"0.16\", expect_size=\"24598528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28298240\", alpha=\"0.19\", expect_size=\"11319296\"] \n  1 -> 2 [size =\"11319296\"]\n  2 [size=\"77793280\", alpha=\"0.05\", expect_size=\"31117312\"] \n  2 -> 3 [size =\"31117312\"]\n  3 [size=\"52559360\", alpha=\"0.12\", expect_size=\"21023744\"] \n  3 -> 4 [size =\"21023744\"]\n  4 [size=\"49169920\", alpha=\"0.08\", expect_size=\"19667968\"] \n  4 -> 5 [size =\"19667968\"]\n  5 [size=\"36444160\", alpha=\"0.07\", expect_size=\"14577664\"] \n  5 -> 6 [size =\"14577664\"]\n  6 [size=\"78461440\", alpha=\"0.07\", expect_size=\"31384576\"] \n  6 -> 7 [size =\"31384576\"]\n  7 [size=\"106485760\", alpha=\"0.08\", expect_size=\"42594304\"] \n  7 -> 8 [size =\"42594304\"]\n  8 [size=\"100436480\", alpha=\"0.12\", expect_size=\"40174592\"] \n  8 -> 9 [size =\"40174592\"]\n  9 [size=\"103690240\", alpha=\"0.14\", expect_size=\"41476096\"] \n  9 -> 10 [size =\"41476096\"]\n  10 [size=\"109404160\", alpha=\"0.06\", expect_size=\"43761664\"] \n  10 -> 11 [size =\"43761664\"]\n  11 [size=\"77885440\", alpha=\"0.08\", expect_size=\"31154176\"] \n  11 -> 12 [size =\"31154176\"]\n  12 [size=\"73320960\", alpha=\"0.15\", expect_size=\"29328384\"] \n  12 -> 13 [size =\"29328384\"]\n  13 [size=\"103270400\", alpha=\"0.07\", expect_size=\"41308160\"] \n  13 -> 14 [size =\"41308160\"]\n  14 [size=\"53148160\", alpha=\"0.01\", expect_size=\"21259264\"] \n  14 -> 15 [size =\"21259264\"]\n  15 [size=\"97436160\", alpha=\"0.18\", expect_size=\"38974464\"] \n  15 -> 16 [size =\"38974464\"]\n  16 [size=\"22709760\", alpha=\"0.14\", expect_size=\"9083904\"] \n  16 -> 17 [size =\"9083904\"]\n  17 [size=\"62927360\", alpha=\"0.03\", expect_size=\"25170944\"] \n  17 -> 18 [size =\"25170944\"]\n  18 [size=\"109242880\", alpha=\"0.07\", expect_size=\"43697152\"] \n  18 -> 19 [size =\"43697152\"]\n  19 [size=\"62722560\", alpha=\"0.04\", expect_size=\"25089024\"] \n  19 -> 20 [size =\"25089024\"]\n  20 [size=\"27532800\", alpha=\"0.19\", expect_size=\"11013120\"] \n  20 -> 21 [size =\"11013120\"]\n  21 [size=\"64696320\", alpha=\"0.18\", expect_size=\"25878528\"] \n  21 -> 22 [size =\"25878528\"]\n  22 [size=\"112663040\", alpha=\"0.07\", expect_size=\"45065216\"] \n  22 -> 23 [size =\"45065216\"]\n  23 [size=\"80601600\", alpha=\"0.03\", expect_size=\"32240640\"] \n  23 -> 24 [size =\"32240640\"]\n  24 [size=\"121413120\", alpha=\"0.05\", expect_size=\"48565248\"] \n  24 -> 25 [size =\"48565248\"]\n  25 [size=\"129702400\", alpha=\"0.11\", expect_size=\"51880960\"] \n  25 -> 26 [size =\"51880960\"]\n  26 [size=\"118750720\", alpha=\"0.08\", expect_size=\"47500288\"] \n  26 -> 27 [size =\"47500288\"]\n  27 [size=\"84359680\", alpha=\"0.01\", expect_size=\"33743872\"] \n  27 -> 28 [size =\"33743872\"]\n  28 [size=\"101977600\", alpha=\"0.09\", expect_size=\"40791040\"] \n  28 -> 29 [size =\"40791040\"]\n  29 [size=\"25338880\", alpha=\"0.12\", expect_size=\"10135552\"] \n  29 -> 30 [size =\"10135552\"]\n  30 [size=\"46136320\", alpha=\"0.12\", expect_size=\"18454528\"] \n  30 -> 31 [size =\"18454528\"]\n  31 [size=\"42081280\", alpha=\"0.02\", expect_size=\"16832512\"] \n  31 -> 32 [size =\"16832512\"]\n  32 [size=\"28364800\", alpha=\"0.03\", expect_size=\"11345920\"] \n  32 -> 33 [size =\"11345920\"]\n  33 [size=\"69672960\", alpha=\"0.19\", expect_size=\"27869184\"] \n  33 -> 34 [size =\"27869184\"]\n  34 [size=\"87500800\", alpha=\"0.02\", expect_size=\"35000320\"] \n  34 -> 35 [size =\"35000320\"]\n  35 [size=\"117908480\", alpha=\"0.19\", expect_size=\"47163392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150005760\", alpha=\"0.16\", expect_size=\"45001728\"] \n  1 -> 7 [size =\"45001728\"]\n  1 -> 9 [size =\"45001728\"]\n  2 [size=\"115292160\", alpha=\"0.01\", expect_size=\"34587648\"] \n  2 -> 9 [size =\"34587648\"]\n  3 [size=\"31965867\", alpha=\"0.05\", expect_size=\"9589760\"] \n  4 [size=\"118763520\", alpha=\"0.14\", expect_size=\"35629056\"] \n  4 -> 7 [size =\"35629056\"]\n  5 [size=\"113803947\", alpha=\"0.13\", expect_size=\"34141184\"] \n  5 -> 8 [size =\"34141184\"]\n  6 [size=\"156777813\", alpha=\"0.08\", expect_size=\"47033344\"] \n  7 [size=\"125067947\", alpha=\"0.04\", expect_size=\"37520384\"] \n  7 -> 12 [size =\"37520384\"]\n  8 [size=\"136639147\", alpha=\"0.19\", expect_size=\"40991744\"] \n  9 [size=\"162590720\", alpha=\"0.15\", expect_size=\"48777216\"] \n  9 -> 10 [size =\"48777216\"]\n  9 -> 11 [size =\"48777216\"]\n  9 -> 12 [size =\"48777216\"]\n  10 [size=\"89296213\", alpha=\"0.04\", expect_size=\"26788864\"] \n  10 -> 13 [size =\"26788864\"]\n  10 -> 14 [size =\"26788864\"]\n  10 -> 16 [size =\"26788864\"]\n  10 -> 17 [size =\"26788864\"]\n  11 [size=\"169516373\", alpha=\"0.14\", expect_size=\"50854912\"] \n  12 [size=\"138898773\", alpha=\"0.16\", expect_size=\"41669632\"] \n  12 -> 13 [size =\"41669632\"]\n  12 -> 14 [size =\"41669632\"]\n  12 -> 15 [size =\"41669632\"]\n  12 -> 18 [size =\"41669632\"]\n  13 [size=\"150691840\", alpha=\"0.01\", expect_size=\"45207552\"] \n  13 -> 20 [size =\"45207552\"]\n  14 [size=\"33563307\", alpha=\"0.18\", expect_size=\"10068992\"] \n  14 -> 20 [size =\"10068992\"]\n  14 -> 22 [size =\"10068992\"]\n  15 [size=\"140462080\", alpha=\"0.10\", expect_size=\"42138624\"] \n  15 -> 21 [size =\"42138624\"]\n  16 [size=\"84264960\", alpha=\"0.20\", expect_size=\"25279488\"] \n  16 -> 19 [size =\"25279488\"]\n  16 -> 20 [size =\"25279488\"]\n  16 -> 22 [size =\"25279488\"]\n  16 -> 23 [size =\"25279488\"]\n  17 [size=\"148206933\", alpha=\"0.02\", expect_size=\"44462080\"] \n  17 -> 22 [size =\"44462080\"]\n  18 [size=\"24180053\", alpha=\"0.09\", expect_size=\"7254016\"] \n  19 [size=\"173380267\", alpha=\"0.18\", expect_size=\"52014080\"] \n  19 -> 29 [size =\"52014080\"]\n  20 [size=\"137622187\", alpha=\"0.05\", expect_size=\"41286656\"] \n  20 -> 24 [size =\"41286656\"]\n  20 -> 26 [size =\"41286656\"]\n  21 [size=\"172642987\", alpha=\"0.10\", expect_size=\"51792896\"] \n  21 -> 25 [size =\"51792896\"]\n  22 [size=\"122948267\", alpha=\"0.06\", expect_size=\"36884480\"] \n  22 -> 24 [size =\"36884480\"]\n  22 -> 25 [size =\"36884480\"]\n  22 -> 26 [size =\"36884480\"]\n  22 -> 29 [size =\"36884480\"]\n  23 [size=\"92661760\", alpha=\"0.05\", expect_size=\"27798528\"] \n  23 -> 24 [size =\"27798528\"]\n  23 -> 27 [size =\"27798528\"]\n  23 -> 28 [size =\"27798528\"]\n  23 -> 30 [size =\"27798528\"]\n  24 [size=\"96860160\", alpha=\"0.17\", expect_size=\"29058048\"] \n  24 -> 31 [size =\"29058048\"]\n  24 -> 34 [size =\"29058048\"]\n  25 [size=\"81783467\", alpha=\"0.00\", expect_size=\"24535040\"] \n  25 -> 33 [size =\"24535040\"]\n  26 [size=\"158443520\", alpha=\"0.02\", expect_size=\"47533056\"] \n  26 -> 31 [size =\"47533056\"]\n  26 -> 33 [size =\"47533056\"]\n  27 [size=\"158300160\", alpha=\"0.17\", expect_size=\"47490048\"] \n  27 -> 34 [size =\"47490048\"]\n  28 [size=\"174755840\", alpha=\"0.07\", expect_size=\"52426752\"] \n  28 -> 32 [size =\"52426752\"]\n  28 -> 34 [size =\"52426752\"]\n  29 [size=\"85893120\", alpha=\"0.16\", expect_size=\"25767936\"] \n  29 -> 32 [size =\"25767936\"]\n  29 -> 34 [size =\"25767936\"]\n  30 [size=\"68437333\", alpha=\"0.14\", expect_size=\"20531200\"] \n  30 -> 32 [size =\"20531200\"]\n  31 [size=\"109984427\", alpha=\"0.11\", expect_size=\"32995328\"] \n  32 [size=\"28494507\", alpha=\"0.04\", expect_size=\"8548352\"] \n  33 [size=\"79069867\", alpha=\"0.13\", expect_size=\"23720960\"] \n  33 -> 35 [size =\"23720960\"]\n  34 [size=\"118913707\", alpha=\"0.05\", expect_size=\"35674112\"] \n  35 [size=\"92030293\", alpha=\"0.12\", expect_size=\"27609088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81093973\", alpha=\"0.14\", expect_size=\"24328192\"] \n  1 -> 13 [size =\"24328192\"]\n  1 -> 18 [size =\"24328192\"]\n  1 -> 19 [size =\"24328192\"]\n  2 [size=\"112349867\", alpha=\"0.03\", expect_size=\"33704960\"] \n  2 -> 16 [size =\"33704960\"]\n  2 -> 17 [size =\"33704960\"]\n  2 -> 18 [size =\"33704960\"]\n  2 -> 19 [size =\"33704960\"]\n  2 -> 20 [size =\"33704960\"]\n  2 -> 22 [size =\"33704960\"]\n  3 [size=\"69109760\", alpha=\"0.09\", expect_size=\"20732928\"] \n  3 -> 14 [size =\"20732928\"]\n  3 -> 15 [size =\"20732928\"]\n  3 -> 17 [size =\"20732928\"]\n  3 -> 21 [size =\"20732928\"]\n  4 [size=\"125006507\", alpha=\"0.03\", expect_size=\"37501952\"] \n  4 -> 12 [size =\"37501952\"]\n  4 -> 13 [size =\"37501952\"]\n  4 -> 20 [size =\"37501952\"]\n  5 [size=\"37150720\", alpha=\"0.15\", expect_size=\"11145216\"] \n  5 -> 13 [size =\"11145216\"]\n  5 -> 16 [size =\"11145216\"]\n  5 -> 19 [size =\"11145216\"]\n  5 -> 20 [size =\"11145216\"]\n  6 [size=\"19305813\", alpha=\"0.14\", expect_size=\"5791744\"] \n  6 -> 13 [size =\"5791744\"]\n  6 -> 15 [size =\"5791744\"]\n  6 -> 16 [size =\"5791744\"]\n  6 -> 17 [size =\"5791744\"]\n  6 -> 20 [size =\"5791744\"]\n  7 [size=\"26722987\", alpha=\"0.10\", expect_size=\"8016896\"] \n  7 -> 12 [size =\"8016896\"]\n  8 [size=\"155600213\", alpha=\"0.00\", expect_size=\"46680064\"] \n  8 -> 12 [size =\"46680064\"]\n  8 -> 13 [size =\"46680064\"]\n  8 -> 16 [size =\"46680064\"]\n  8 -> 20 [size =\"46680064\"]\n  9 [size=\"82384213\", alpha=\"0.02\", expect_size=\"24715264\"] \n  9 -> 12 [size =\"24715264\"]\n  9 -> 19 [size =\"24715264\"]\n  9 -> 20 [size =\"24715264\"]\n  10 [size=\"154354347\", alpha=\"0.06\", expect_size=\"46306304\"] \n  10 -> 12 [size =\"46306304\"]\n  10 -> 15 [size =\"46306304\"]\n  10 -> 18 [size =\"46306304\"]\n  10 -> 19 [size =\"46306304\"]\n  11 [size=\"70778880\", alpha=\"0.04\", expect_size=\"21233664\"] \n  11 -> 15 [size =\"21233664\"]\n  11 -> 16 [size =\"21233664\"]\n  12 [size=\"20008960\", alpha=\"0.03\", expect_size=\"6002688\"] \n  12 -> 25 [size =\"6002688\"]\n  12 -> 32 [size =\"6002688\"]\n  13 [size=\"41526613\", alpha=\"0.12\", expect_size=\"12457984\"] \n  13 -> 24 [size =\"12457984\"]\n  13 -> 26 [size =\"12457984\"]\n  13 -> 28 [size =\"12457984\"]\n  14 [size=\"109649920\", alpha=\"0.13\", expect_size=\"32894976\"] \n  14 -> 23 [size =\"32894976\"]\n  14 -> 24 [size =\"32894976\"]\n  14 -> 27 [size =\"32894976\"]\n  14 -> 29 [size =\"32894976\"]\n  14 -> 30 [size =\"32894976\"]\n  14 -> 31 [size =\"32894976\"]\n  15 [size=\"132744533\", alpha=\"0.17\", expect_size=\"39823360\"] \n  15 -> 25 [size =\"39823360\"]\n  15 -> 26 [size =\"39823360\"]\n  15 -> 28 [size =\"39823360\"]\n  15 -> 29 [size =\"39823360\"]\n  15 -> 32 [size =\"39823360\"]\n  16 [size=\"97133227\", alpha=\"0.02\", expect_size=\"29139968\"] \n  16 -> 26 [size =\"29139968\"]\n  16 -> 29 [size =\"29139968\"]\n  16 -> 32 [size =\"29139968\"]\n  17 [size=\"50397867\", alpha=\"0.15\", expect_size=\"15119360\"] \n  17 -> 26 [size =\"15119360\"]\n  17 -> 29 [size =\"15119360\"]\n  18 [size=\"126487893\", alpha=\"0.07\", expect_size=\"37946368\"] \n  18 -> 25 [size =\"37946368\"]\n  18 -> 26 [size =\"37946368\"]\n  18 -> 28 [size =\"37946368\"]\n  18 -> 29 [size =\"37946368\"]\n  19 [size=\"128256000\", alpha=\"0.15\", expect_size=\"38476800\"] \n  19 -> 23 [size =\"38476800\"]\n  19 -> 29 [size =\"38476800\"]\n  19 -> 31 [size =\"38476800\"]\n  20 [size=\"140707840\", alpha=\"0.12\", expect_size=\"42212352\"] \n  20 -> 23 [size =\"42212352\"]\n  20 -> 25 [size =\"42212352\"]\n  20 -> 30 [size =\"42212352\"]\n  20 -> 31 [size =\"42212352\"]\n  21 [size=\"32211627\", alpha=\"0.18\", expect_size=\"9663488\"] \n  21 -> 23 [size =\"9663488\"]\n  21 -> 24 [size =\"9663488\"]\n  21 -> 25 [size =\"9663488\"]\n  21 -> 28 [size =\"9663488\"]\n  21 -> 30 [size =\"9663488\"]\n  22 [size=\"59798187\", alpha=\"0.16\", expect_size=\"17939456\"] \n  22 -> 25 [size =\"17939456\"]\n  22 -> 28 [size =\"17939456\"]\n  23 [size=\"80510293\", alpha=\"0.01\", expect_size=\"24153088\"] \n  23 -> 34 [size =\"24153088\"]\n  24 [size=\"171799893\", alpha=\"0.19\", expect_size=\"51539968\"] \n  24 -> 33 [size =\"51539968\"]\n  25 [size=\"118200320\", alpha=\"0.19\", expect_size=\"35460096\"] \n  25 -> 33 [size =\"35460096\"]\n  26 [size=\"92368213\", alpha=\"0.00\", expect_size=\"27710464\"] \n  26 -> 34 [size =\"27710464\"]\n  27 [size=\"107721387\", alpha=\"0.02\", expect_size=\"32316416\"] \n  27 -> 35 [size =\"32316416\"]\n  28 [size=\"65423360\", alpha=\"0.02\", expect_size=\"19627008\"] \n  28 -> 35 [size =\"19627008\"]\n  29 [size=\"119115093\", alpha=\"0.10\", expect_size=\"35734528\"] \n  30 [size=\"77407573\", alpha=\"0.15\", expect_size=\"23222272\"] \n  30 -> 34 [size =\"23222272\"]\n  31 [size=\"17838080\", alpha=\"0.07\", expect_size=\"5351424\"] \n  32 [size=\"161320960\", alpha=\"0.19\", expect_size=\"48396288\"] \n  32 -> 35 [size =\"48396288\"]\n  33 [size=\"130870613\", alpha=\"0.15\", expect_size=\"39261184\"] \n  34 [size=\"135410347\", alpha=\"0.02\", expect_size=\"40623104\"] \n  35 [size=\"125187413\", alpha=\"0.04\", expect_size=\"37556224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121528320\", alpha=\"0.09\", expect_size=\"36458496\"] \n  1 -> 2 [size =\"36458496\"]\n  2 [size=\"113059840\", alpha=\"0.07\", expect_size=\"33917952\"] \n  2 -> 3 [size =\"33917952\"]\n  3 [size=\"144776533\", alpha=\"0.17\", expect_size=\"43432960\"] \n  3 -> 4 [size =\"43432960\"]\n  4 [size=\"142271147\", alpha=\"0.09\", expect_size=\"42681344\"] \n  4 -> 5 [size =\"42681344\"]\n  5 [size=\"73014613\", alpha=\"0.00\", expect_size=\"21904384\"] \n  5 -> 6 [size =\"21904384\"]\n  6 [size=\"69649067\", alpha=\"0.14\", expect_size=\"20894720\"] \n  6 -> 7 [size =\"20894720\"]\n  7 [size=\"77168640\", alpha=\"0.05\", expect_size=\"23150592\"] \n  7 -> 8 [size =\"23150592\"]\n  8 [size=\"118719147\", alpha=\"0.14\", expect_size=\"35615744\"] \n  8 -> 9 [size =\"35615744\"]\n  9 [size=\"109335893\", alpha=\"0.02\", expect_size=\"32800768\"] \n  9 -> 10 [size =\"32800768\"]\n  10 [size=\"119091200\", alpha=\"0.19\", expect_size=\"35727360\"] \n  10 -> 11 [size =\"35727360\"]\n  11 [size=\"168413867\", alpha=\"0.19\", expect_size=\"50524160\"] \n  11 -> 12 [size =\"50524160\"]\n  12 [size=\"79551147\", alpha=\"0.11\", expect_size=\"23865344\"] \n  12 -> 13 [size =\"23865344\"]\n  13 [size=\"133051733\", alpha=\"0.20\", expect_size=\"39915520\"] \n  13 -> 14 [size =\"39915520\"]\n  14 [size=\"111322453\", alpha=\"0.08\", expect_size=\"33396736\"] \n  14 -> 15 [size =\"33396736\"]\n  15 [size=\"22650880\", alpha=\"0.08\", expect_size=\"6795264\"] \n  15 -> 16 [size =\"6795264\"]\n  16 [size=\"26422613\", alpha=\"0.01\", expect_size=\"7926784\"] \n  16 -> 17 [size =\"7926784\"]\n  17 [size=\"133256533\", alpha=\"0.11\", expect_size=\"39976960\"] \n  17 -> 18 [size =\"39976960\"]\n  18 [size=\"170127360\", alpha=\"0.12\", expect_size=\"51038208\"] \n  18 -> 19 [size =\"51038208\"]\n  19 [size=\"123767467\", alpha=\"0.15\", expect_size=\"37130240\"] \n  19 -> 20 [size =\"37130240\"]\n  20 [size=\"142496427\", alpha=\"0.06\", expect_size=\"42748928\"] \n  20 -> 21 [size =\"42748928\"]\n  21 [size=\"131604480\", alpha=\"0.10\", expect_size=\"39481344\"] \n  21 -> 22 [size =\"39481344\"]\n  22 [size=\"123040427\", alpha=\"0.06\", expect_size=\"36912128\"] \n  22 -> 23 [size =\"36912128\"]\n  23 [size=\"49605973\", alpha=\"0.18\", expect_size=\"14881792\"] \n  23 -> 24 [size =\"14881792\"]\n  24 [size=\"48814080\", alpha=\"0.06\", expect_size=\"14644224\"] \n  24 -> 25 [size =\"14644224\"]\n  25 [size=\"112640000\", alpha=\"0.02\", expect_size=\"33792000\"] \n  25 -> 26 [size =\"33792000\"]\n  26 [size=\"19510613\", alpha=\"0.04\", expect_size=\"5853184\"] \n  26 -> 27 [size =\"5853184\"]\n  27 [size=\"26897067\", alpha=\"0.13\", expect_size=\"8069120\"] \n  27 -> 28 [size =\"8069120\"]\n  28 [size=\"115483307\", alpha=\"0.16\", expect_size=\"34644992\"] \n  28 -> 29 [size =\"34644992\"]\n  29 [size=\"53340160\", alpha=\"0.10\", expect_size=\"16002048\"] \n  29 -> 30 [size =\"16002048\"]\n  30 [size=\"169939627\", alpha=\"0.17\", expect_size=\"50981888\"] \n  30 -> 31 [size =\"50981888\"]\n  31 [size=\"56907093\", alpha=\"0.03\", expect_size=\"17072128\"] \n  31 -> 32 [size =\"17072128\"]\n  32 [size=\"132867413\", alpha=\"0.17\", expect_size=\"39860224\"] \n  32 -> 33 [size =\"39860224\"]\n  33 [size=\"21548373\", alpha=\"0.06\", expect_size=\"6464512\"] \n  33 -> 34 [size =\"6464512\"]\n  34 [size=\"164826453\", alpha=\"0.07\", expect_size=\"49447936\"] \n  34 -> 35 [size =\"49447936\"]\n  35 [size=\"58347520\", alpha=\"0.08\", expect_size=\"17504256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70092800\", alpha=\"0.15\", expect_size=\"21027840\"] \n  1 -> 17 [size =\"21027840\"]\n  1 -> 22 [size =\"21027840\"]\n  1 -> 23 [size =\"21027840\"]\n  1 -> 24 [size =\"21027840\"]\n  1 -> 25 [size =\"21027840\"]\n  1 -> 26 [size =\"21027840\"]\n  1 -> 29 [size =\"21027840\"]\n  1 -> 32 [size =\"21027840\"]\n  1 -> 35 [size =\"21027840\"]\n  2 [size=\"65402880\", alpha=\"0.04\", expect_size=\"19620864\"] \n  2 -> 17 [size =\"19620864\"]\n  2 -> 18 [size =\"19620864\"]\n  2 -> 19 [size =\"19620864\"]\n  2 -> 20 [size =\"19620864\"]\n  2 -> 22 [size =\"19620864\"]\n  2 -> 34 [size =\"19620864\"]\n  3 [size=\"27661653\", alpha=\"0.07\", expect_size=\"8298496\"] \n  3 -> 17 [size =\"8298496\"]\n  3 -> 18 [size =\"8298496\"]\n  3 -> 19 [size =\"8298496\"]\n  3 -> 21 [size =\"8298496\"]\n  3 -> 22 [size =\"8298496\"]\n  3 -> 27 [size =\"8298496\"]\n  3 -> 28 [size =\"8298496\"]\n  3 -> 30 [size =\"8298496\"]\n  3 -> 35 [size =\"8298496\"]\n  4 [size=\"138519893\", alpha=\"0.16\", expect_size=\"41555968\"] \n  4 -> 18 [size =\"41555968\"]\n  4 -> 22 [size =\"41555968\"]\n  4 -> 24 [size =\"41555968\"]\n  4 -> 29 [size =\"41555968\"]\n  4 -> 32 [size =\"41555968\"]\n  4 -> 35 [size =\"41555968\"]\n  5 [size=\"105321813\", alpha=\"0.10\", expect_size=\"31596544\"] \n  5 -> 17 [size =\"31596544\"]\n  5 -> 18 [size =\"31596544\"]\n  5 -> 19 [size =\"31596544\"]\n  5 -> 22 [size =\"31596544\"]\n  5 -> 23 [size =\"31596544\"]\n  5 -> 24 [size =\"31596544\"]\n  5 -> 32 [size =\"31596544\"]\n  5 -> 33 [size =\"31596544\"]\n  5 -> 34 [size =\"31596544\"]\n  6 [size=\"49070080\", alpha=\"0.17\", expect_size=\"14721024\"] \n  6 -> 20 [size =\"14721024\"]\n  6 -> 22 [size =\"14721024\"]\n  6 -> 23 [size =\"14721024\"]\n  6 -> 25 [size =\"14721024\"]\n  6 -> 28 [size =\"14721024\"]\n  6 -> 31 [size =\"14721024\"]\n  6 -> 34 [size =\"14721024\"]\n  7 [size=\"159283200\", alpha=\"0.19\", expect_size=\"47784960\"] \n  7 -> 23 [size =\"47784960\"]\n  7 -> 27 [size =\"47784960\"]\n  7 -> 29 [size =\"47784960\"]\n  7 -> 33 [size =\"47784960\"]\n  7 -> 34 [size =\"47784960\"]\n  8 [size=\"154265600\", alpha=\"0.17\", expect_size=\"46279680\"] \n  8 -> 18 [size =\"46279680\"]\n  8 -> 20 [size =\"46279680\"]\n  8 -> 23 [size =\"46279680\"]\n  8 -> 27 [size =\"46279680\"]\n  8 -> 29 [size =\"46279680\"]\n  8 -> 33 [size =\"46279680\"]\n  8 -> 35 [size =\"46279680\"]\n  9 [size=\"99665920\", alpha=\"0.12\", expect_size=\"29899776\"] \n  9 -> 17 [size =\"29899776\"]\n  9 -> 18 [size =\"29899776\"]\n  9 -> 20 [size =\"29899776\"]\n  9 -> 21 [size =\"29899776\"]\n  9 -> 23 [size =\"29899776\"]\n  9 -> 24 [size =\"29899776\"]\n  10 [size=\"98061653\", alpha=\"0.15\", expect_size=\"29418496\"] \n  10 -> 18 [size =\"29418496\"]\n  10 -> 23 [size =\"29418496\"]\n  10 -> 24 [size =\"29418496\"]\n  10 -> 25 [size =\"29418496\"]\n  10 -> 28 [size =\"29418496\"]\n  10 -> 29 [size =\"29418496\"]\n  10 -> 31 [size =\"29418496\"]\n  10 -> 34 [size =\"29418496\"]\n  11 [size=\"69328213\", alpha=\"0.17\", expect_size=\"20798464\"] \n  11 -> 17 [size =\"20798464\"]\n  11 -> 21 [size =\"20798464\"]\n  11 -> 22 [size =\"20798464\"]\n  11 -> 23 [size =\"20798464\"]\n  11 -> 25 [size =\"20798464\"]\n  11 -> 27 [size =\"20798464\"]\n  11 -> 28 [size =\"20798464\"]\n  11 -> 32 [size =\"20798464\"]\n  11 -> 33 [size =\"20798464\"]\n  11 -> 34 [size =\"20798464\"]\n  11 -> 35 [size =\"20798464\"]\n  12 [size=\"33198080\", alpha=\"0.05\", expect_size=\"9959424\"] \n  12 -> 17 [size =\"9959424\"]\n  12 -> 18 [size =\"9959424\"]\n  12 -> 20 [size =\"9959424\"]\n  12 -> 25 [size =\"9959424\"]\n  12 -> 32 [size =\"9959424\"]\n  12 -> 34 [size =\"9959424\"]\n  12 -> 35 [size =\"9959424\"]\n  13 [size=\"63160320\", alpha=\"0.11\", expect_size=\"18948096\"] \n  13 -> 17 [size =\"18948096\"]\n  13 -> 18 [size =\"18948096\"]\n  13 -> 27 [size =\"18948096\"]\n  13 -> 28 [size =\"18948096\"]\n  13 -> 29 [size =\"18948096\"]\n  13 -> 32 [size =\"18948096\"]\n  13 -> 33 [size =\"18948096\"]\n  14 [size=\"117251413\", alpha=\"0.06\", expect_size=\"35175424\"] \n  14 -> 21 [size =\"35175424\"]\n  14 -> 22 [size =\"35175424\"]\n  14 -> 28 [size =\"35175424\"]\n  14 -> 29 [size =\"35175424\"]\n  14 -> 34 [size =\"35175424\"]\n  15 [size=\"83148800\", alpha=\"0.07\", expect_size=\"24944640\"] \n  15 -> 22 [size =\"24944640\"]\n  15 -> 23 [size =\"24944640\"]\n  15 -> 24 [size =\"24944640\"]\n  15 -> 25 [size =\"24944640\"]\n  15 -> 27 [size =\"24944640\"]\n  15 -> 32 [size =\"24944640\"]\n  16 [size=\"159184213\", alpha=\"0.10\", expect_size=\"47755264\"] \n  16 -> 17 [size =\"47755264\"]\n  16 -> 22 [size =\"47755264\"]\n  16 -> 23 [size =\"47755264\"]\n  16 -> 25 [size =\"47755264\"]\n  16 -> 28 [size =\"47755264\"]\n  16 -> 32 [size =\"47755264\"]\n  16 -> 35 [size =\"47755264\"]\n  17 [size=\"132362240\", alpha=\"0.06\", expect_size=\"39708672\"] \n  18 [size=\"125661867\", alpha=\"0.05\", expect_size=\"37698560\"] \n  19 [size=\"98665813\", alpha=\"0.03\", expect_size=\"29599744\"] \n  20 [size=\"33805653\", alpha=\"0.19\", expect_size=\"10141696\"] \n  21 [size=\"153330347\", alpha=\"0.02\", expect_size=\"45999104\"] \n  22 [size=\"132311040\", alpha=\"0.11\", expect_size=\"39693312\"] \n  23 [size=\"173636267\", alpha=\"0.01\", expect_size=\"52090880\"] \n  24 [size=\"105304747\", alpha=\"0.06\", expect_size=\"31591424\"] \n  25 [size=\"152074240\", alpha=\"0.03\", expect_size=\"45622272\"] \n  26 [size=\"51227307\", alpha=\"0.03\", expect_size=\"15368192\"] \n  27 [size=\"131993600\", alpha=\"0.02\", expect_size=\"39598080\"] \n  28 [size=\"24828587\", alpha=\"0.18\", expect_size=\"7448576\"] \n  29 [size=\"64849920\", alpha=\"0.05\", expect_size=\"19454976\"] \n  30 [size=\"88162987\", alpha=\"0.02\", expect_size=\"26448896\"] \n  31 [size=\"80230400\", alpha=\"0.05\", expect_size=\"24069120\"] \n  32 [size=\"93668693\", alpha=\"0.10\", expect_size=\"28100608\"] \n  33 [size=\"19118080\", alpha=\"0.02\", expect_size=\"5735424\"] \n  34 [size=\"24053760\", alpha=\"0.06\", expect_size=\"7216128\"] \n  35 [size=\"72236373\", alpha=\"0.18\", expect_size=\"21670912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86654293\", alpha=\"0.01\", expect_size=\"25996288\"] \n  1 -> 2 [size =\"25996288\"]\n  2 [size=\"131389440\", alpha=\"0.00\", expect_size=\"39416832\"] \n  2 -> 3 [size =\"39416832\"]\n  3 [size=\"31890773\", alpha=\"0.01\", expect_size=\"9567232\"] \n  3 -> 4 [size =\"9567232\"]\n  4 [size=\"93573120\", alpha=\"0.11\", expect_size=\"28071936\"] \n  4 -> 5 [size =\"28071936\"]\n  5 [size=\"70464853\", alpha=\"0.12\", expect_size=\"21139456\"] \n  5 -> 6 [size =\"21139456\"]\n  6 [size=\"95744000\", alpha=\"0.00\", expect_size=\"28723200\"] \n  6 -> 7 [size =\"28723200\"]\n  7 [size=\"75601920\", alpha=\"0.08\", expect_size=\"22680576\"] \n  7 -> 8 [size =\"22680576\"]\n  8 [size=\"43731627\", alpha=\"0.14\", expect_size=\"13119488\"] \n  8 -> 9 [size =\"13119488\"]\n  9 [size=\"88524800\", alpha=\"0.05\", expect_size=\"26557440\"] \n  9 -> 10 [size =\"26557440\"]\n  10 [size=\"37519360\", alpha=\"0.15\", expect_size=\"11255808\"] \n  10 -> 11 [size =\"11255808\"]\n  11 [size=\"25647787\", alpha=\"0.09\", expect_size=\"7694336\"] \n  11 -> 12 [size =\"7694336\"]\n  12 [size=\"32795307\", alpha=\"0.07\", expect_size=\"9838592\"] \n  12 -> 13 [size =\"9838592\"]\n  13 [size=\"36007253\", alpha=\"0.18\", expect_size=\"10802176\"] \n  13 -> 14 [size =\"10802176\"]\n  14 [size=\"45144747\", alpha=\"0.19\", expect_size=\"13543424\"] \n  14 -> 15 [size =\"13543424\"]\n  15 [size=\"130495147\", alpha=\"0.04\", expect_size=\"39148544\"] \n  15 -> 16 [size =\"39148544\"]\n  16 [size=\"65737387\", alpha=\"0.11\", expect_size=\"19721216\"] \n  16 -> 17 [size =\"19721216\"]\n  17 [size=\"66877440\", alpha=\"0.10\", expect_size=\"20063232\"] \n  17 -> 18 [size =\"20063232\"]\n  18 [size=\"131136853\", alpha=\"0.19\", expect_size=\"39341056\"] \n  18 -> 19 [size =\"39341056\"]\n  19 [size=\"84094293\", alpha=\"0.20\", expect_size=\"25228288\"] \n  19 -> 20 [size =\"25228288\"]\n  20 [size=\"122357760\", alpha=\"0.17\", expect_size=\"36707328\"] \n  20 -> 21 [size =\"36707328\"]\n  21 [size=\"79448747\", alpha=\"0.03\", expect_size=\"23834624\"] \n  21 -> 22 [size =\"23834624\"]\n  22 [size=\"151739733\", alpha=\"0.04\", expect_size=\"45521920\"] \n  22 -> 23 [size =\"45521920\"]\n  23 [size=\"52722347\", alpha=\"0.06\", expect_size=\"15816704\"] \n  23 -> 24 [size =\"15816704\"]\n  24 [size=\"33539413\", alpha=\"0.18\", expect_size=\"10061824\"] \n  24 -> 25 [size =\"10061824\"]\n  25 [size=\"22766933\", alpha=\"0.17\", expect_size=\"6830080\"] \n  25 -> 26 [size =\"6830080\"]\n  26 [size=\"57299627\", alpha=\"0.06\", expect_size=\"17189888\"] \n  26 -> 27 [size =\"17189888\"]\n  27 [size=\"145442133\", alpha=\"0.02\", expect_size=\"43632640\"] \n  27 -> 28 [size =\"43632640\"]\n  28 [size=\"70116693\", alpha=\"0.01\", expect_size=\"21035008\"] \n  28 -> 29 [size =\"21035008\"]\n  29 [size=\"59692373\", alpha=\"0.10\", expect_size=\"17907712\"] \n  29 -> 30 [size =\"17907712\"]\n  30 [size=\"59456853\", alpha=\"0.01\", expect_size=\"17837056\"] \n  30 -> 31 [size =\"17837056\"]\n  31 [size=\"37672960\", alpha=\"0.13\", expect_size=\"11301888\"] \n  31 -> 32 [size =\"11301888\"]\n  32 [size=\"63525547\", alpha=\"0.07\", expect_size=\"19057664\"] \n  32 -> 33 [size =\"19057664\"]\n  33 [size=\"93641387\", alpha=\"0.03\", expect_size=\"28092416\"] \n  33 -> 34 [size =\"28092416\"]\n  34 [size=\"142438400\", alpha=\"0.03\", expect_size=\"42731520\"] \n  34 -> 35 [size =\"42731520\"]\n  35 [size=\"128730453\", alpha=\"0.18\", expect_size=\"38619136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77419520\", alpha=\"0.10\", expect_size=\"30967808\"] \n  1 -> 26 [size =\"30967808\"]\n  1 -> 28 [size =\"30967808\"]\n  1 -> 29 [size =\"30967808\"]\n  1 -> 29 [size =\"30967808\"]\n  1 -> 31 [size =\"30967808\"]\n  1 -> 34 [size =\"30967808\"]\n  1 -> 35 [size =\"30967808\"]\n  2 [size=\"94284800\", alpha=\"0.17\", expect_size=\"37713920\"] \n  2 -> 25 [size =\"37713920\"]\n  2 -> 27 [size =\"37713920\"]\n  2 -> 28 [size =\"37713920\"]\n  2 -> 29 [size =\"37713920\"]\n  2 -> 30 [size =\"37713920\"]\n  2 -> 32 [size =\"37713920\"]\n  2 -> 34 [size =\"37713920\"]\n  2 -> 35 [size =\"37713920\"]\n  3 [size=\"46968320\", alpha=\"0.08\", expect_size=\"18787328\"] \n  3 -> 26 [size =\"18787328\"]\n  3 -> 28 [size =\"18787328\"]\n  3 -> 28 [size =\"18787328\"]\n  3 -> 29 [size =\"18787328\"]\n  3 -> 30 [size =\"18787328\"]\n  3 -> 32 [size =\"18787328\"]\n  3 -> 33 [size =\"18787328\"]\n  3 -> 34 [size =\"18787328\"]\n  3 -> 35 [size =\"18787328\"]\n  4 [size=\"62379520\", alpha=\"0.20\", expect_size=\"24951808\"] \n  4 -> 25 [size =\"24951808\"]\n  4 -> 26 [size =\"24951808\"]\n  4 -> 29 [size =\"24951808\"]\n  4 -> 30 [size =\"24951808\"]\n  4 -> 34 [size =\"24951808\"]\n  4 -> 35 [size =\"24951808\"]\n  5 [size=\"75125760\", alpha=\"0.04\", expect_size=\"30050304\"] \n  5 -> 25 [size =\"30050304\"]\n  5 -> 26 [size =\"30050304\"]\n  5 -> 29 [size =\"30050304\"]\n  5 -> 30 [size =\"30050304\"]\n  5 -> 31 [size =\"30050304\"]\n  5 -> 32 [size =\"30050304\"]\n  5 -> 34 [size =\"30050304\"]\n  6 [size=\"43678720\", alpha=\"0.10\", expect_size=\"17471488\"] \n  6 -> 25 [size =\"17471488\"]\n  6 -> 26 [size =\"17471488\"]\n  6 -> 29 [size =\"17471488\"]\n  6 -> 32 [size =\"17471488\"]\n  7 [size=\"94824960\", alpha=\"0.15\", expect_size=\"37929984\"] \n  7 -> 26 [size =\"37929984\"]\n  7 -> 29 [size =\"37929984\"]\n  7 -> 29 [size =\"37929984\"]\n  7 -> 31 [size =\"37929984\"]\n  7 -> 33 [size =\"37929984\"]\n  7 -> 34 [size =\"37929984\"]\n  8 [size=\"114145280\", alpha=\"0.15\", expect_size=\"45658112\"] \n  8 -> 26 [size =\"45658112\"]\n  8 -> 27 [size =\"45658112\"]\n  8 -> 28 [size =\"45658112\"]\n  8 -> 29 [size =\"45658112\"]\n  9 [size=\"115115520\", alpha=\"0.19\", expect_size=\"46046208\"] \n  9 -> 25 [size =\"46046208\"]\n  9 -> 26 [size =\"46046208\"]\n  9 -> 27 [size =\"46046208\"]\n  9 -> 29 [size =\"46046208\"]\n  9 -> 31 [size =\"46046208\"]\n  9 -> 32 [size =\"46046208\"]\n  9 -> 33 [size =\"46046208\"]\n  9 -> 34 [size =\"46046208\"]\n  9 -> 35 [size =\"46046208\"]\n  10 [size=\"45166080\", alpha=\"0.11\", expect_size=\"18066432\"] \n  10 -> 26 [size =\"18066432\"]\n  10 -> 26 [size =\"18066432\"]\n  10 -> 29 [size =\"18066432\"]\n  10 -> 30 [size =\"18066432\"]\n  10 -> 31 [size =\"18066432\"]\n  10 -> 32 [size =\"18066432\"]\n  11 [size=\"100700160\", alpha=\"0.19\", expect_size=\"40280064\"] \n  11 -> 28 [size =\"40280064\"]\n  11 -> 29 [size =\"40280064\"]\n  11 -> 31 [size =\"40280064\"]\n  11 -> 32 [size =\"40280064\"]\n  11 -> 33 [size =\"40280064\"]\n  11 -> 34 [size =\"40280064\"]\n  11 -> 35 [size =\"40280064\"]\n  12 [size=\"42636800\", alpha=\"0.06\", expect_size=\"17054720\"] \n  12 -> 25 [size =\"17054720\"]\n  12 -> 26 [size =\"17054720\"]\n  12 -> 28 [size =\"17054720\"]\n  12 -> 29 [size =\"17054720\"]\n  12 -> 30 [size =\"17054720\"]\n  12 -> 31 [size =\"17054720\"]\n  12 -> 32 [size =\"17054720\"]\n  12 -> 34 [size =\"17054720\"]\n  12 -> 35 [size =\"17054720\"]\n  13 [size=\"27571200\", alpha=\"0.09\", expect_size=\"11028480\"] \n  13 -> 25 [size =\"11028480\"]\n  13 -> 26 [size =\"11028480\"]\n  13 -> 28 [size =\"11028480\"]\n  13 -> 29 [size =\"11028480\"]\n  13 -> 31 [size =\"11028480\"]\n  13 -> 32 [size =\"11028480\"]\n  13 -> 32 [size =\"11028480\"]\n  13 -> 33 [size =\"11028480\"]\n  13 -> 34 [size =\"11028480\"]\n  13 -> 35 [size =\"11028480\"]\n  14 [size=\"72842240\", alpha=\"0.06\", expect_size=\"29136896\"] \n  14 -> 26 [size =\"29136896\"]\n  14 -> 26 [size =\"29136896\"]\n  14 -> 27 [size =\"29136896\"]\n  14 -> 28 [size =\"29136896\"]\n  14 -> 29 [size =\"29136896\"]\n  14 -> 32 [size =\"29136896\"]\n  14 -> 33 [size =\"29136896\"]\n  14 -> 35 [size =\"29136896\"]\n  15 [size=\"71976960\", alpha=\"0.04\", expect_size=\"28790784\"] \n  15 -> 25 [size =\"28790784\"]\n  15 -> 26 [size =\"28790784\"]\n  15 -> 27 [size =\"28790784\"]\n  15 -> 28 [size =\"28790784\"]\n  15 -> 29 [size =\"28790784\"]\n  15 -> 31 [size =\"28790784\"]\n  15 -> 32 [size =\"28790784\"]\n  15 -> 34 [size =\"28790784\"]\n  15 -> 35 [size =\"28790784\"]\n  16 [size=\"97070080\", alpha=\"0.02\", expect_size=\"38828032\"] \n  16 -> 25 [size =\"38828032\"]\n  16 -> 26 [size =\"38828032\"]\n  16 -> 28 [size =\"38828032\"]\n  16 -> 28 [size =\"38828032\"]\n  16 -> 29 [size =\"38828032\"]\n  16 -> 31 [size =\"38828032\"]\n  16 -> 32 [size =\"38828032\"]\n  16 -> 33 [size =\"38828032\"]\n  17 [size=\"35750400\", alpha=\"0.13\", expect_size=\"14300160\"] \n  17 -> 26 [size =\"14300160\"]\n  17 -> 28 [size =\"14300160\"]\n  17 -> 29 [size =\"14300160\"]\n  17 -> 31 [size =\"14300160\"]\n  17 -> 32 [size =\"14300160\"]\n  17 -> 35 [size =\"14300160\"]\n  18 [size=\"126886400\", alpha=\"0.20\", expect_size=\"50754560\"] \n  18 -> 26 [size =\"50754560\"]\n  18 -> 32 [size =\"50754560\"]\n  18 -> 34 [size =\"50754560\"]\n  18 -> 35 [size =\"50754560\"]\n  19 [size=\"97413120\", alpha=\"0.03\", expect_size=\"38965248\"] \n  19 -> 28 [size =\"38965248\"]\n  19 -> 29 [size =\"38965248\"]\n  19 -> 32 [size =\"38965248\"]\n  19 -> 33 [size =\"38965248\"]\n  20 [size=\"93038080\", alpha=\"0.09\", expect_size=\"37215232\"] \n  20 -> 28 [size =\"37215232\"]\n  20 -> 30 [size =\"37215232\"]\n  20 -> 32 [size =\"37215232\"]\n  20 -> 33 [size =\"37215232\"]\n  20 -> 35 [size =\"37215232\"]\n  21 [size=\"42227200\", alpha=\"0.05\", expect_size=\"16890880\"] \n  21 -> 25 [size =\"16890880\"]\n  21 -> 26 [size =\"16890880\"]\n  21 -> 28 [size =\"16890880\"]\n  21 -> 31 [size =\"16890880\"]\n  21 -> 33 [size =\"16890880\"]\n  21 -> 34 [size =\"16890880\"]\n  21 -> 35 [size =\"16890880\"]\n  22 [size=\"37120000\", alpha=\"0.15\", expect_size=\"14848000\"] \n  22 -> 25 [size =\"14848000\"]\n  22 -> 26 [size =\"14848000\"]\n  22 -> 28 [size =\"14848000\"]\n  22 -> 32 [size =\"14848000\"]\n  22 -> 35 [size =\"14848000\"]\n  23 [size=\"72243200\", alpha=\"0.11\", expect_size=\"28897280\"] \n  23 -> 25 [size =\"28897280\"]\n  23 -> 28 [size =\"28897280\"]\n  23 -> 29 [size =\"28897280\"]\n  23 -> 33 [size =\"28897280\"]\n  23 -> 35 [size =\"28897280\"]\n  24 [size=\"124124160\", alpha=\"0.15\", expect_size=\"49649664\"] \n  24 -> 25 [size =\"49649664\"]\n  24 -> 26 [size =\"49649664\"]\n  24 -> 28 [size =\"49649664\"]\n  24 -> 29 [size =\"49649664\"]\n  24 -> 33 [size =\"49649664\"]\n  24 -> 35 [size =\"49649664\"]\n  25 [size=\"38878720\", alpha=\"0.09\", expect_size=\"15551488\"] \n  26 [size=\"59868160\", alpha=\"0.09\", expect_size=\"23947264\"] \n  27 [size=\"72396800\", alpha=\"0.03\", expect_size=\"28958720\"] \n  28 [size=\"28641280\", alpha=\"0.13\", expect_size=\"11456512\"] \n  29 [size=\"26775040\", alpha=\"0.02\", expect_size=\"10710016\"] \n  30 [size=\"45770240\", alpha=\"0.15\", expect_size=\"18308096\"] \n  31 [size=\"96215040\", alpha=\"0.03\", expect_size=\"38486016\"] \n  32 [size=\"124454400\", alpha=\"0.17\", expect_size=\"49781760\"] \n  33 [size=\"93706240\", alpha=\"0.13\", expect_size=\"37482496\"] \n  34 [size=\"37829120\", alpha=\"0.19\", expect_size=\"15131648\"] \n  35 [size=\"124060160\", alpha=\"0.14\", expect_size=\"49624064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37816320\", alpha=\"0.12\", expect_size=\"11344896\"] \n  1 -> 2 [size =\"11344896\"]\n  1 -> 3 [size =\"11344896\"]\n  2 [size=\"66529280\", alpha=\"0.16\", expect_size=\"19958784\"] \n  2 -> 4 [size =\"19958784\"]\n  2 -> 5 [size =\"19958784\"]\n  3 [size=\"106335573\", alpha=\"0.08\", expect_size=\"31900672\"] \n  3 -> 4 [size =\"31900672\"]\n  4 [size=\"95334400\", alpha=\"0.04\", expect_size=\"28600320\"] \n  4 -> 6 [size =\"28600320\"]\n  5 [size=\"40205653\", alpha=\"0.01\", expect_size=\"12061696\"] \n  5 -> 6 [size =\"12061696\"]\n  6 [size=\"60426240\", alpha=\"0.00\", expect_size=\"18127872\"] \n  6 -> 7 [size =\"18127872\"]\n  6 -> 8 [size =\"18127872\"]\n  7 [size=\"44134400\", alpha=\"0.08\", expect_size=\"13240320\"] \n  7 -> 9 [size =\"13240320\"]\n  8 [size=\"81797120\", alpha=\"0.00\", expect_size=\"24539136\"] \n  8 -> 9 [size =\"24539136\"]\n  9 [size=\"161443840\", alpha=\"0.02\", expect_size=\"48433152\"] \n  9 -> 10 [size =\"48433152\"]\n  9 -> 11 [size =\"48433152\"]\n  10 [size=\"127542613\", alpha=\"0.18\", expect_size=\"38262784\"] \n  10 -> 12 [size =\"38262784\"]\n  10 -> 13 [size =\"38262784\"]\n  11 [size=\"101338453\", alpha=\"0.11\", expect_size=\"30401536\"] \n  11 -> 12 [size =\"30401536\"]\n  12 [size=\"37434027\", alpha=\"0.05\", expect_size=\"11230208\"] \n  12 -> 15 [size =\"11230208\"]\n  13 [size=\"159808853\", alpha=\"0.08\", expect_size=\"47942656\"] \n  13 -> 14 [size =\"47942656\"]\n  13 -> 15 [size =\"47942656\"]\n  14 [size=\"64146773\", alpha=\"0.17\", expect_size=\"19244032\"] \n  14 -> 16 [size =\"19244032\"]\n  15 [size=\"93562880\", alpha=\"0.07\", expect_size=\"28068864\"] \n  16 [size=\"103133867\", alpha=\"0.08\", expect_size=\"30940160\"] \n  16 -> 17 [size =\"30940160\"]\n  17 [size=\"106410667\", alpha=\"0.16\", expect_size=\"31923200\"] \n  17 -> 18 [size =\"31923200\"]\n  18 [size=\"172598613\", alpha=\"0.16\", expect_size=\"51779584\"] \n  18 -> 19 [size =\"51779584\"]\n  18 -> 20 [size =\"51779584\"]\n  19 [size=\"17489920\", alpha=\"0.12\", expect_size=\"5246976\"] \n  19 -> 22 [size =\"5246976\"]\n  20 [size=\"31037440\", alpha=\"0.05\", expect_size=\"9311232\"] \n  20 -> 21 [size =\"9311232\"]\n  20 -> 22 [size =\"9311232\"]\n  21 [size=\"170376533\", alpha=\"0.20\", expect_size=\"51112960\"] \n  21 -> 23 [size =\"51112960\"]\n  21 -> 24 [size =\"51112960\"]\n  22 [size=\"101075627\", alpha=\"0.01\", expect_size=\"30322688\"] \n  22 -> 24 [size =\"30322688\"]\n  23 [size=\"142417920\", alpha=\"0.14\", expect_size=\"42725376\"] \n  23 -> 26 [size =\"42725376\"]\n  24 [size=\"48800427\", alpha=\"0.17\", expect_size=\"14640128\"] \n  24 -> 25 [size =\"14640128\"]\n  24 -> 26 [size =\"14640128\"]\n  25 [size=\"28197547\", alpha=\"0.02\", expect_size=\"8459264\"] \n  25 -> 27 [size =\"8459264\"]\n  26 [size=\"84811093\", alpha=\"0.13\", expect_size=\"25443328\"] \n  26 -> 27 [size =\"25443328\"]\n  27 [size=\"149749760\", alpha=\"0.08\", expect_size=\"44924928\"] \n  27 -> 28 [size =\"44924928\"]\n  27 -> 29 [size =\"44924928\"]\n  28 [size=\"114520747\", alpha=\"0.10\", expect_size=\"34356224\"] \n  28 -> 30 [size =\"34356224\"]\n  28 -> 31 [size =\"34356224\"]\n  29 [size=\"79595520\", alpha=\"0.11\", expect_size=\"23878656\"] \n  29 -> 30 [size =\"23878656\"]\n  29 -> 31 [size =\"23878656\"]\n  30 [size=\"173677227\", alpha=\"0.06\", expect_size=\"52103168\"] \n  30 -> 32 [size =\"52103168\"]\n  30 -> 33 [size =\"52103168\"]\n  31 [size=\"52766720\", alpha=\"0.12\", expect_size=\"15830016\"] \n  31 -> 32 [size =\"15830016\"]\n  31 -> 33 [size =\"15830016\"]\n  32 [size=\"51783680\", alpha=\"0.20\", expect_size=\"15535104\"] \n  32 -> 34 [size =\"15535104\"]\n  33 [size=\"62491307\", alpha=\"0.06\", expect_size=\"18747392\"] \n  33 -> 34 [size =\"18747392\"]\n  33 -> 35 [size =\"18747392\"]\n  34 [size=\"173755733\", alpha=\"0.18\", expect_size=\"52126720\"] \n  35 [size=\"148858880\", alpha=\"0.00\", expect_size=\"44657664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57661440\", alpha=\"0.15\", expect_size=\"17298432\"] \n  1 -> 23 [size =\"17298432\"]\n  1 -> 25 [size =\"17298432\"]\n  1 -> 26 [size =\"17298432\"]\n  1 -> 27 [size =\"17298432\"]\n  1 -> 31 [size =\"17298432\"]\n  1 -> 35 [size =\"17298432\"]\n  2 [size=\"28675413\", alpha=\"0.01\", expect_size=\"8602624\"] \n  2 -> 25 [size =\"8602624\"]\n  2 -> 30 [size =\"8602624\"]\n  2 -> 31 [size =\"8602624\"]\n  2 -> 32 [size =\"8602624\"]\n  2 -> 35 [size =\"8602624\"]\n  3 [size=\"18862080\", alpha=\"0.18\", expect_size=\"5658624\"] \n  3 -> 23 [size =\"5658624\"]\n  3 -> 26 [size =\"5658624\"]\n  3 -> 27 [size =\"5658624\"]\n  3 -> 29 [size =\"5658624\"]\n  3 -> 31 [size =\"5658624\"]\n  3 -> 33 [size =\"5658624\"]\n  3 -> 35 [size =\"5658624\"]\n  4 [size=\"27719680\", alpha=\"0.14\", expect_size=\"8315904\"] \n  4 -> 25 [size =\"8315904\"]\n  4 -> 27 [size =\"8315904\"]\n  4 -> 29 [size =\"8315904\"]\n  4 -> 30 [size =\"8315904\"]\n  4 -> 31 [size =\"8315904\"]\n  4 -> 35 [size =\"8315904\"]\n  4 -> 35 [size =\"8315904\"]\n  5 [size=\"94877013\", alpha=\"0.19\", expect_size=\"28463104\"] \n  5 -> 22 [size =\"28463104\"]\n  5 -> 23 [size =\"28463104\"]\n  5 -> 25 [size =\"28463104\"]\n  5 -> 26 [size =\"28463104\"]\n  5 -> 29 [size =\"28463104\"]\n  5 -> 31 [size =\"28463104\"]\n  5 -> 32 [size =\"28463104\"]\n  5 -> 34 [size =\"28463104\"]\n  5 -> 35 [size =\"28463104\"]\n  6 [size=\"67215360\", alpha=\"0.13\", expect_size=\"20164608\"] \n  6 -> 26 [size =\"20164608\"]\n  6 -> 28 [size =\"20164608\"]\n  6 -> 31 [size =\"20164608\"]\n  6 -> 35 [size =\"20164608\"]\n  7 [size=\"171973973\", alpha=\"0.12\", expect_size=\"51592192\"] \n  7 -> 26 [size =\"51592192\"]\n  7 -> 27 [size =\"51592192\"]\n  7 -> 28 [size =\"51592192\"]\n  7 -> 31 [size =\"51592192\"]\n  7 -> 33 [size =\"51592192\"]\n  8 [size=\"149780480\", alpha=\"0.13\", expect_size=\"44934144\"] \n  8 -> 23 [size =\"44934144\"]\n  8 -> 27 [size =\"44934144\"]\n  8 -> 28 [size =\"44934144\"]\n  8 -> 30 [size =\"44934144\"]\n  8 -> 31 [size =\"44934144\"]\n  9 [size=\"128211627\", alpha=\"0.17\", expect_size=\"38463488\"] \n  9 -> 22 [size =\"38463488\"]\n  9 -> 23 [size =\"38463488\"]\n  9 -> 24 [size =\"38463488\"]\n  9 -> 25 [size =\"38463488\"]\n  9 -> 27 [size =\"38463488\"]\n  9 -> 29 [size =\"38463488\"]\n  9 -> 31 [size =\"38463488\"]\n  9 -> 34 [size =\"38463488\"]\n  9 -> 35 [size =\"38463488\"]\n  10 [size=\"100427093\", alpha=\"0.17\", expect_size=\"30128128\"] \n  10 -> 23 [size =\"30128128\"]\n  10 -> 25 [size =\"30128128\"]\n  10 -> 27 [size =\"30128128\"]\n  10 -> 28 [size =\"30128128\"]\n  10 -> 31 [size =\"30128128\"]\n  10 -> 32 [size =\"30128128\"]\n  10 -> 34 [size =\"30128128\"]\n  10 -> 35 [size =\"30128128\"]\n  11 [size=\"119780693\", alpha=\"0.01\", expect_size=\"35934208\"] \n  11 -> 23 [size =\"35934208\"]\n  11 -> 25 [size =\"35934208\"]\n  11 -> 27 [size =\"35934208\"]\n  11 -> 30 [size =\"35934208\"]\n  11 -> 31 [size =\"35934208\"]\n  11 -> 35 [size =\"35934208\"]\n  12 [size=\"79482880\", alpha=\"0.06\", expect_size=\"23844864\"] \n  12 -> 25 [size =\"23844864\"]\n  12 -> 27 [size =\"23844864\"]\n  12 -> 31 [size =\"23844864\"]\n  13 [size=\"87685120\", alpha=\"0.06\", expect_size=\"26305536\"] \n  13 -> 25 [size =\"26305536\"]\n  13 -> 26 [size =\"26305536\"]\n  13 -> 30 [size =\"26305536\"]\n  13 -> 31 [size =\"26305536\"]\n  13 -> 32 [size =\"26305536\"]\n  14 [size=\"75301547\", alpha=\"0.15\", expect_size=\"22590464\"] \n  14 -> 25 [size =\"22590464\"]\n  14 -> 29 [size =\"22590464\"]\n  14 -> 30 [size =\"22590464\"]\n  14 -> 31 [size =\"22590464\"]\n  14 -> 33 [size =\"22590464\"]\n  14 -> 34 [size =\"22590464\"]\n  14 -> 35 [size =\"22590464\"]\n  15 [size=\"27989333\", alpha=\"0.20\", expect_size=\"8396800\"] \n  15 -> 25 [size =\"8396800\"]\n  15 -> 27 [size =\"8396800\"]\n  15 -> 30 [size =\"8396800\"]\n  15 -> 34 [size =\"8396800\"]\n  15 -> 35 [size =\"8396800\"]\n  16 [size=\"18295467\", alpha=\"0.14\", expect_size=\"5488640\"] \n  16 -> 23 [size =\"5488640\"]\n  16 -> 25 [size =\"5488640\"]\n  16 -> 26 [size =\"5488640\"]\n  16 -> 31 [size =\"5488640\"]\n  16 -> 35 [size =\"5488640\"]\n  17 [size=\"116838400\", alpha=\"0.08\", expect_size=\"35051520\"] \n  17 -> 24 [size =\"35051520\"]\n  17 -> 25 [size =\"35051520\"]\n  17 -> 28 [size =\"35051520\"]\n  17 -> 30 [size =\"35051520\"]\n  17 -> 31 [size =\"35051520\"]\n  17 -> 32 [size =\"35051520\"]\n  17 -> 33 [size =\"35051520\"]\n  17 -> 35 [size =\"35051520\"]\n  18 [size=\"51165867\", alpha=\"0.14\", expect_size=\"15349760\"] \n  18 -> 22 [size =\"15349760\"]\n  18 -> 23 [size =\"15349760\"]\n  18 -> 24 [size =\"15349760\"]\n  18 -> 25 [size =\"15349760\"]\n  18 -> 30 [size =\"15349760\"]\n  18 -> 34 [size =\"15349760\"]\n  18 -> 35 [size =\"15349760\"]\n  18 -> 35 [size =\"15349760\"]\n  19 [size=\"155849387\", alpha=\"0.03\", expect_size=\"46754816\"] \n  19 -> 23 [size =\"46754816\"]\n  19 -> 24 [size =\"46754816\"]\n  19 -> 29 [size =\"46754816\"]\n  19 -> 34 [size =\"46754816\"]\n  19 -> 35 [size =\"46754816\"]\n  20 [size=\"129208320\", alpha=\"0.07\", expect_size=\"38762496\"] \n  20 -> 23 [size =\"38762496\"]\n  20 -> 24 [size =\"38762496\"]\n  20 -> 25 [size =\"38762496\"]\n  20 -> 32 [size =\"38762496\"]\n  20 -> 34 [size =\"38762496\"]\n  20 -> 35 [size =\"38762496\"]\n  21 [size=\"108711253\", alpha=\"0.17\", expect_size=\"32613376\"] \n  21 -> 22 [size =\"32613376\"]\n  21 -> 23 [size =\"32613376\"]\n  21 -> 24 [size =\"32613376\"]\n  21 -> 25 [size =\"32613376\"]\n  21 -> 31 [size =\"32613376\"]\n  21 -> 32 [size =\"32613376\"]\n  21 -> 35 [size =\"32613376\"]\n  22 [size=\"114459307\", alpha=\"0.08\", expect_size=\"34337792\"] \n  23 [size=\"164867413\", alpha=\"0.19\", expect_size=\"49460224\"] \n  24 [size=\"54743040\", alpha=\"0.12\", expect_size=\"16422912\"] \n  25 [size=\"171301547\", alpha=\"0.14\", expect_size=\"51390464\"] \n  26 [size=\"167901867\", alpha=\"0.03\", expect_size=\"50370560\"] \n  27 [size=\"117200213\", alpha=\"0.12\", expect_size=\"35160064\"] \n  28 [size=\"25268907\", alpha=\"0.17\", expect_size=\"7580672\"] \n  29 [size=\"133311147\", alpha=\"0.16\", expect_size=\"39993344\"] \n  30 [size=\"155897173\", alpha=\"0.06\", expect_size=\"46769152\"] \n  31 [size=\"57108480\", alpha=\"0.09\", expect_size=\"17132544\"] \n  32 [size=\"34416640\", alpha=\"0.20\", expect_size=\"10324992\"] \n  33 [size=\"99027627\", alpha=\"0.19\", expect_size=\"29708288\"] \n  34 [size=\"95037440\", alpha=\"0.06\", expect_size=\"28511232\"] \n  35 [size=\"32696320\", alpha=\"0.15\", expect_size=\"9808896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36526080\", alpha=\"0.09\", expect_size=\"10957824\"] \n  1 -> 7 [size =\"10957824\"]\n  1 -> 8 [size =\"10957824\"]\n  1 -> 9 [size =\"10957824\"]\n  2 [size=\"78878720\", alpha=\"0.16\", expect_size=\"23663616\"] \n  2 -> 8 [size =\"23663616\"]\n  2 -> 10 [size =\"23663616\"]\n  3 [size=\"92487680\", alpha=\"0.06\", expect_size=\"27746304\"] \n  3 -> 6 [size =\"27746304\"]\n  3 -> 10 [size =\"27746304\"]\n  4 [size=\"150630400\", alpha=\"0.19\", expect_size=\"45189120\"] \n  4 -> 7 [size =\"45189120\"]\n  4 -> 8 [size =\"45189120\"]\n  4 -> 10 [size =\"45189120\"]\n  5 [size=\"116418560\", alpha=\"0.10\", expect_size=\"34925568\"] \n  5 -> 7 [size =\"34925568\"]\n  5 -> 8 [size =\"34925568\"]\n  5 -> 9 [size =\"34925568\"]\n  5 -> 10 [size =\"34925568\"]\n  6 [size=\"30976000\", alpha=\"0.03\", expect_size=\"9292800\"] \n  6 -> 11 [size =\"9292800\"]\n  6 -> 12 [size =\"9292800\"]\n  6 -> 13 [size =\"9292800\"]\n  7 [size=\"37365760\", alpha=\"0.01\", expect_size=\"11209728\"] \n  7 -> 11 [size =\"11209728\"]\n  7 -> 12 [size =\"11209728\"]\n  7 -> 14 [size =\"11209728\"]\n  8 [size=\"42420907\", alpha=\"0.16\", expect_size=\"12726272\"] \n  8 -> 11 [size =\"12726272\"]\n  8 -> 12 [size =\"12726272\"]\n  8 -> 14 [size =\"12726272\"]\n  9 [size=\"34566827\", alpha=\"0.02\", expect_size=\"10370048\"] \n  9 -> 11 [size =\"10370048\"]\n  9 -> 12 [size =\"10370048\"]\n  9 -> 14 [size =\"10370048\"]\n  10 [size=\"52343467\", alpha=\"0.02\", expect_size=\"15703040\"] \n  10 -> 11 [size =\"15703040\"]\n  10 -> 12 [size =\"15703040\"]\n  10 -> 15 [size =\"15703040\"]\n  11 [size=\"74960213\", alpha=\"0.15\", expect_size=\"22488064\"] \n  11 -> 16 [size =\"22488064\"]\n  11 -> 17 [size =\"22488064\"]\n  12 [size=\"144534187\", alpha=\"0.10\", expect_size=\"43360256\"] \n  12 -> 17 [size =\"43360256\"]\n  12 -> 18 [size =\"43360256\"]\n  12 -> 19 [size =\"43360256\"]\n  13 [size=\"113950720\", alpha=\"0.13\", expect_size=\"34185216\"] \n  13 -> 17 [size =\"34185216\"]\n  13 -> 18 [size =\"34185216\"]\n  13 -> 19 [size =\"34185216\"]\n  14 [size=\"161966080\", alpha=\"0.15\", expect_size=\"48589824\"] \n  14 -> 18 [size =\"48589824\"]\n  14 -> 18 [size =\"48589824\"]\n  14 -> 19 [size =\"48589824\"]\n  15 [size=\"154886827\", alpha=\"0.02\", expect_size=\"46466048\"] \n  15 -> 16 [size =\"46466048\"]\n  15 -> 19 [size =\"46466048\"]\n  15 -> 19 [size =\"46466048\"]\n  16 [size=\"75335680\", alpha=\"0.17\", expect_size=\"22600704\"] \n  16 -> 20 [size =\"22600704\"]\n  16 -> 21 [size =\"22600704\"]\n  16 -> 22 [size =\"22600704\"]\n  17 [size=\"96092160\", alpha=\"0.04\", expect_size=\"28827648\"] \n  17 -> 20 [size =\"28827648\"]\n  17 -> 21 [size =\"28827648\"]\n  17 -> 22 [size =\"28827648\"]\n  17 -> 23 [size =\"28827648\"]\n  18 [size=\"100096000\", alpha=\"0.04\", expect_size=\"30028800\"] \n  18 -> 20 [size =\"30028800\"]\n  18 -> 21 [size =\"30028800\"]\n  18 -> 22 [size =\"30028800\"]\n  19 [size=\"66054827\", alpha=\"0.00\", expect_size=\"19816448\"] \n  19 -> 21 [size =\"19816448\"]\n  19 -> 22 [size =\"19816448\"]\n  20 [size=\"80749227\", alpha=\"0.17\", expect_size=\"24224768\"] \n  20 -> 24 [size =\"24224768\"]\n  20 -> 26 [size =\"24224768\"]\n  20 -> 27 [size =\"24224768\"]\n  21 [size=\"96894293\", alpha=\"0.16\", expect_size=\"29068288\"] \n  21 -> 25 [size =\"29068288\"]\n  21 -> 27 [size =\"29068288\"]\n  22 [size=\"58385067\", alpha=\"0.04\", expect_size=\"17515520\"] \n  22 -> 24 [size =\"17515520\"]\n  22 -> 25 [size =\"17515520\"]\n  22 -> 27 [size =\"17515520\"]\n  23 [size=\"137570987\", alpha=\"0.00\", expect_size=\"41271296\"] \n  23 -> 24 [size =\"41271296\"]\n  23 -> 27 [size =\"41271296\"]\n  24 [size=\"84906667\", alpha=\"0.14\", expect_size=\"25472000\"] \n  24 -> 28 [size =\"25472000\"]\n  24 -> 31 [size =\"25472000\"]\n  24 -> 31 [size =\"25472000\"]\n  25 [size=\"46667093\", alpha=\"0.00\", expect_size=\"14000128\"] \n  25 -> 28 [size =\"14000128\"]\n  25 -> 30 [size =\"14000128\"]\n  26 [size=\"63989760\", alpha=\"0.08\", expect_size=\"19196928\"] \n  26 -> 28 [size =\"19196928\"]\n  26 -> 29 [size =\"19196928\"]\n  26 -> 31 [size =\"19196928\"]\n  27 [size=\"40185173\", alpha=\"0.19\", expect_size=\"12055552\"] \n  27 -> 28 [size =\"12055552\"]\n  27 -> 30 [size =\"12055552\"]\n  27 -> 31 [size =\"12055552\"]\n  28 [size=\"72475307\", alpha=\"0.12\", expect_size=\"21742592\"] \n  28 -> 32 [size =\"21742592\"]\n  29 [size=\"100113067\", alpha=\"0.08\", expect_size=\"30033920\"] \n  29 -> 32 [size =\"30033920\"]\n  29 -> 35 [size =\"30033920\"]\n  30 [size=\"101389653\", alpha=\"0.08\", expect_size=\"30416896\"] \n  30 -> 32 [size =\"30416896\"]\n  30 -> 33 [size =\"30416896\"]\n  30 -> 34 [size =\"30416896\"]\n  31 [size=\"78516907\", alpha=\"0.16\", expect_size=\"23555072\"] \n  31 -> 32 [size =\"23555072\"]\n  31 -> 33 [size =\"23555072\"]\n  31 -> 35 [size =\"23555072\"]\n  32 [size=\"50544640\", alpha=\"0.19\", expect_size=\"15163392\"] \n  33 [size=\"78878720\", alpha=\"0.15\", expect_size=\"23663616\"] \n  34 [size=\"81244160\", alpha=\"0.10\", expect_size=\"24373248\"] \n  35 [size=\"33515520\", alpha=\"0.02\", expect_size=\"10054656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90849280\", alpha=\"0.20\", expect_size=\"27254784\"] \n  1 -> 31 [size =\"27254784\"]\n  1 -> 32 [size =\"27254784\"]\n  2 [size=\"89047040\", alpha=\"0.15\", expect_size=\"26714112\"] \n  2 -> 27 [size =\"26714112\"]\n  2 -> 31 [size =\"26714112\"]\n  2 -> 32 [size =\"26714112\"]\n  2 -> 33 [size =\"26714112\"]\n  2 -> 34 [size =\"26714112\"]\n  3 [size=\"53886293\", alpha=\"0.09\", expect_size=\"16165888\"] \n  3 -> 27 [size =\"16165888\"]\n  3 -> 28 [size =\"16165888\"]\n  3 -> 29 [size =\"16165888\"]\n  3 -> 33 [size =\"16165888\"]\n  3 -> 34 [size =\"16165888\"]\n  4 [size=\"129730560\", alpha=\"0.08\", expect_size=\"38919168\"] \n  4 -> 27 [size =\"38919168\"]\n  4 -> 28 [size =\"38919168\"]\n  4 -> 29 [size =\"38919168\"]\n  4 -> 30 [size =\"38919168\"]\n  4 -> 31 [size =\"38919168\"]\n  4 -> 33 [size =\"38919168\"]\n  4 -> 34 [size =\"38919168\"]\n  5 [size=\"168437760\", alpha=\"0.03\", expect_size=\"50531328\"] \n  5 -> 29 [size =\"50531328\"]\n  5 -> 31 [size =\"50531328\"]\n  5 -> 32 [size =\"50531328\"]\n  6 [size=\"76445013\", alpha=\"0.06\", expect_size=\"22933504\"] \n  6 -> 32 [size =\"22933504\"]\n  6 -> 34 [size =\"22933504\"]\n  7 [size=\"60528640\", alpha=\"0.18\", expect_size=\"18158592\"] \n  7 -> 29 [size =\"18158592\"]\n  7 -> 31 [size =\"18158592\"]\n  7 -> 33 [size =\"18158592\"]\n  8 [size=\"69085867\", alpha=\"0.12\", expect_size=\"20725760\"] \n  8 -> 31 [size =\"20725760\"]\n  8 -> 32 [size =\"20725760\"]\n  8 -> 34 [size =\"20725760\"]\n  9 [size=\"103369387\", alpha=\"0.14\", expect_size=\"31010816\"] \n  9 -> 31 [size =\"31010816\"]\n  10 [size=\"141158400\", alpha=\"0.13\", expect_size=\"42347520\"] \n  10 -> 29 [size =\"42347520\"]\n  10 -> 31 [size =\"42347520\"]\n  11 [size=\"27282773\", alpha=\"0.12\", expect_size=\"8184832\"] \n  11 -> 29 [size =\"8184832\"]\n  12 [size=\"24238080\", alpha=\"0.07\", expect_size=\"7271424\"] \n  12 -> 27 [size =\"7271424\"]\n  12 -> 29 [size =\"7271424\"]\n  12 -> 32 [size =\"7271424\"]\n  13 [size=\"139543893\", alpha=\"0.13\", expect_size=\"41863168\"] \n  13 -> 27 [size =\"41863168\"]\n  13 -> 28 [size =\"41863168\"]\n  13 -> 29 [size =\"41863168\"]\n  13 -> 32 [size =\"41863168\"]\n  14 [size=\"54616747\", alpha=\"0.14\", expect_size=\"16385024\"] \n  14 -> 31 [size =\"16385024\"]\n  14 -> 32 [size =\"16385024\"]\n  14 -> 35 [size =\"16385024\"]\n  15 [size=\"118685013\", alpha=\"0.16\", expect_size=\"35605504\"] \n  15 -> 31 [size =\"35605504\"]\n  16 [size=\"144786773\", alpha=\"0.15\", expect_size=\"43436032\"] \n  16 -> 27 [size =\"43436032\"]\n  16 -> 28 [size =\"43436032\"]\n  16 -> 29 [size =\"43436032\"]\n  16 -> 32 [size =\"43436032\"]\n  16 -> 33 [size =\"43436032\"]\n  17 [size=\"30781440\", alpha=\"0.14\", expect_size=\"9234432\"] \n  17 -> 29 [size =\"9234432\"]\n  18 [size=\"171581440\", alpha=\"0.08\", expect_size=\"51474432\"] \n  18 -> 29 [size =\"51474432\"]\n  19 [size=\"106205867\", alpha=\"0.13\", expect_size=\"31861760\"] \n  19 -> 27 [size =\"31861760\"]\n  19 -> 32 [size =\"31861760\"]\n  20 [size=\"59402240\", alpha=\"0.07\", expect_size=\"17820672\"] \n  21 [size=\"165567147\", alpha=\"0.10\", expect_size=\"49670144\"] \n  21 -> 27 [size =\"49670144\"]\n  21 -> 32 [size =\"49670144\"]\n  21 -> 35 [size =\"49670144\"]\n  22 [size=\"106151253\", alpha=\"0.02\", expect_size=\"31845376\"] \n  22 -> 34 [size =\"31845376\"]\n  23 [size=\"161232213\", alpha=\"0.19\", expect_size=\"48369664\"] \n  23 -> 28 [size =\"48369664\"]\n  23 -> 32 [size =\"48369664\"]\n  23 -> 34 [size =\"48369664\"]\n  24 [size=\"109038933\", alpha=\"0.11\", expect_size=\"32711680\"] \n  24 -> 27 [size =\"32711680\"]\n  24 -> 31 [size =\"32711680\"]\n  24 -> 34 [size =\"32711680\"]\n  25 [size=\"64143360\", alpha=\"0.01\", expect_size=\"19243008\"] \n  25 -> 27 [size =\"19243008\"]\n  25 -> 29 [size =\"19243008\"]\n  25 -> 31 [size =\"19243008\"]\n  25 -> 33 [size =\"19243008\"]\n  26 [size=\"31173973\", alpha=\"0.19\", expect_size=\"9352192\"] \n  26 -> 27 [size =\"9352192\"]\n  26 -> 32 [size =\"9352192\"]\n  27 [size=\"151138987\", alpha=\"0.02\", expect_size=\"45341696\"] \n  28 [size=\"106779307\", alpha=\"0.12\", expect_size=\"32033792\"] \n  29 [size=\"171035307\", alpha=\"0.13\", expect_size=\"51310592\"] \n  30 [size=\"115718827\", alpha=\"0.10\", expect_size=\"34715648\"] \n  31 [size=\"169540267\", alpha=\"0.07\", expect_size=\"50862080\"] \n  32 [size=\"91306667\", alpha=\"0.06\", expect_size=\"27392000\"] \n  33 [size=\"109871787\", alpha=\"0.00\", expect_size=\"32961536\"] \n  34 [size=\"104366080\", alpha=\"0.19\", expect_size=\"31309824\"] \n  35 [size=\"29757440\", alpha=\"0.11\", expect_size=\"8927232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119350613\", alpha=\"0.10\", expect_size=\"35805184\"] \n  1 -> 5 [size =\"35805184\"]\n  1 -> 6 [size =\"35805184\"]\n  1 -> 7 [size =\"35805184\"]\n  2 [size=\"127419733\", alpha=\"0.11\", expect_size=\"38225920\"] \n  2 -> 7 [size =\"38225920\"]\n  2 -> 8 [size =\"38225920\"]\n  3 [size=\"85749760\", alpha=\"0.04\", expect_size=\"25724928\"] \n  3 -> 8 [size =\"25724928\"]\n  3 -> 9 [size =\"25724928\"]\n  4 [size=\"122395307\", alpha=\"0.05\", expect_size=\"36718592\"] \n  4 -> 8 [size =\"36718592\"]\n  4 -> 9 [size =\"36718592\"]\n  5 [size=\"94549333\", alpha=\"0.00\", expect_size=\"28364800\"] \n  5 -> 12 [size =\"28364800\"]\n  5 -> 14 [size =\"28364800\"]\n  6 [size=\"165413547\", alpha=\"0.01\", expect_size=\"49624064\"] \n  6 -> 12 [size =\"49624064\"]\n  6 -> 13 [size =\"49624064\"]\n  7 [size=\"44905813\", alpha=\"0.20\", expect_size=\"13471744\"] \n  7 -> 10 [size =\"13471744\"]\n  7 -> 11 [size =\"13471744\"]\n  7 -> 12 [size =\"13471744\"]\n  8 [size=\"53152427\", alpha=\"0.01\", expect_size=\"15945728\"] \n  8 -> 10 [size =\"15945728\"]\n  8 -> 11 [size =\"15945728\"]\n  9 [size=\"134198613\", alpha=\"0.19\", expect_size=\"40259584\"] \n  9 -> 13 [size =\"40259584\"]\n  10 [size=\"100051627\", alpha=\"0.05\", expect_size=\"30015488\"] \n  10 -> 15 [size =\"30015488\"]\n  10 -> 16 [size =\"30015488\"]\n  10 -> 17 [size =\"30015488\"]\n  11 [size=\"40052053\", alpha=\"0.07\", expect_size=\"12015616\"] \n  11 -> 15 [size =\"12015616\"]\n  11 -> 16 [size =\"12015616\"]\n  11 -> 17 [size =\"12015616\"]\n  11 -> 18 [size =\"12015616\"]\n  12 [size=\"116974933\", alpha=\"0.12\", expect_size=\"35092480\"] \n  12 -> 16 [size =\"35092480\"]\n  12 -> 17 [size =\"35092480\"]\n  12 -> 18 [size =\"35092480\"]\n  13 [size=\"48332800\", alpha=\"0.01\", expect_size=\"14499840\"] \n  13 -> 18 [size =\"14499840\"]\n  14 [size=\"81701547\", alpha=\"0.02\", expect_size=\"24510464\"] \n  14 -> 15 [size =\"24510464\"]\n  14 -> 17 [size =\"24510464\"]\n  14 -> 18 [size =\"24510464\"]\n  14 -> 19 [size =\"24510464\"]\n  15 [size=\"123013120\", alpha=\"0.09\", expect_size=\"36903936\"] \n  15 -> 20 [size =\"36903936\"]\n  15 -> 21 [size =\"36903936\"]\n  15 -> 22 [size =\"36903936\"]\n  16 [size=\"124002987\", alpha=\"0.17\", expect_size=\"37200896\"] \n  17 [size=\"128061440\", alpha=\"0.04\", expect_size=\"38418432\"] \n  17 -> 21 [size =\"38418432\"]\n  17 -> 24 [size =\"38418432\"]\n  18 [size=\"125631147\", alpha=\"0.14\", expect_size=\"37689344\"] \n  18 -> 20 [size =\"37689344\"]\n  18 -> 21 [size =\"37689344\"]\n  18 -> 24 [size =\"37689344\"]\n  19 [size=\"130877440\", alpha=\"0.03\", expect_size=\"39263232\"] \n  19 -> 20 [size =\"39263232\"]\n  19 -> 21 [size =\"39263232\"]\n  19 -> 22 [size =\"39263232\"]\n  19 -> 23 [size =\"39263232\"]\n  19 -> 24 [size =\"39263232\"]\n  20 [size=\"121791147\", alpha=\"0.04\", expect_size=\"36537344\"] \n  20 -> 25 [size =\"36537344\"]\n  20 -> 28 [size =\"36537344\"]\n  20 -> 29 [size =\"36537344\"]\n  21 [size=\"161863680\", alpha=\"0.17\", expect_size=\"48559104\"] \n  21 -> 25 [size =\"48559104\"]\n  21 -> 26 [size =\"48559104\"]\n  21 -> 27 [size =\"48559104\"]\n  22 [size=\"56244907\", alpha=\"0.05\", expect_size=\"16873472\"] \n  22 -> 26 [size =\"16873472\"]\n  22 -> 27 [size =\"16873472\"]\n  23 [size=\"147595947\", alpha=\"0.01\", expect_size=\"44278784\"] \n  23 -> 28 [size =\"44278784\"]\n  24 [size=\"153535147\", alpha=\"0.11\", expect_size=\"46060544\"] \n  24 -> 26 [size =\"46060544\"]\n  24 -> 28 [size =\"46060544\"]\n  25 [size=\"168062293\", alpha=\"0.11\", expect_size=\"50418688\"] \n  25 -> 30 [size =\"50418688\"]\n  25 -> 32 [size =\"50418688\"]\n  25 -> 33 [size =\"50418688\"]\n  26 [size=\"83633493\", alpha=\"0.09\", expect_size=\"25090048\"] \n  26 -> 30 [size =\"25090048\"]\n  26 -> 32 [size =\"25090048\"]\n  26 -> 33 [size =\"25090048\"]\n  27 [size=\"59378347\", alpha=\"0.11\", expect_size=\"17813504\"] \n  27 -> 31 [size =\"17813504\"]\n  27 -> 33 [size =\"17813504\"]\n  28 [size=\"86978560\", alpha=\"0.17\", expect_size=\"26093568\"] \n  28 -> 30 [size =\"26093568\"]\n  28 -> 33 [size =\"26093568\"]\n  29 [size=\"43096747\", alpha=\"0.18\", expect_size=\"12929024\"] \n  29 -> 31 [size =\"12929024\"]\n  29 -> 32 [size =\"12929024\"]\n  30 [size=\"65266347\", alpha=\"0.10\", expect_size=\"19579904\"] \n  30 -> 34 [size =\"19579904\"]\n  31 [size=\"93300053\", alpha=\"0.04\", expect_size=\"27990016\"] \n  31 -> 35 [size =\"27990016\"]\n  32 [size=\"71792640\", alpha=\"0.12\", expect_size=\"21537792\"] \n  32 -> 35 [size =\"21537792\"]\n  33 [size=\"110687573\", alpha=\"0.03\", expect_size=\"33206272\"] \n  33 -> 35 [size =\"33206272\"]\n  34 [size=\"120975360\", alpha=\"0.02\", expect_size=\"36292608\"] \n  35 [size=\"50292053\", alpha=\"0.15\", expect_size=\"15087616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71040000\", alpha=\"0.14\", expect_size=\"28416000\"] \n  1 -> 3 [size =\"28416000\"]\n  2 [size=\"114104320\", alpha=\"0.12\", expect_size=\"45641728\"] \n  2 -> 3 [size =\"45641728\"]\n  3 [size=\"41210880\", alpha=\"0.17\", expect_size=\"16484352\"] \n  3 -> 4 [size =\"16484352\"]\n  3 -> 5 [size =\"16484352\"]\n  4 [size=\"107338240\", alpha=\"0.04\", expect_size=\"42935296\"] \n  4 -> 7 [size =\"42935296\"]\n  5 [size=\"105454080\", alpha=\"0.17\", expect_size=\"42181632\"] \n  5 -> 6 [size =\"42181632\"]\n  5 -> 7 [size =\"42181632\"]\n  6 [size=\"54036480\", alpha=\"0.02\", expect_size=\"21614592\"] \n  6 -> 8 [size =\"21614592\"]\n  7 [size=\"85268480\", alpha=\"0.02\", expect_size=\"34107392\"] \n  7 -> 8 [size =\"34107392\"]\n  7 -> 9 [size =\"34107392\"]\n  8 [size=\"29816320\", alpha=\"0.15\", expect_size=\"11926528\"] \n  8 -> 10 [size =\"11926528\"]\n  9 [size=\"21043200\", alpha=\"0.17\", expect_size=\"8417280\"] \n  9 -> 11 [size =\"8417280\"]\n  10 [size=\"104248320\", alpha=\"0.09\", expect_size=\"41699328\"] \n  10 -> 13 [size =\"41699328\"]\n  11 [size=\"62497280\", alpha=\"0.07\", expect_size=\"24998912\"] \n  11 -> 12 [size =\"24998912\"]\n  11 -> 13 [size =\"24998912\"]\n  12 [size=\"26631680\", alpha=\"0.17\", expect_size=\"10652672\"] \n  12 -> 14 [size =\"10652672\"]\n  13 [size=\"98490880\", alpha=\"0.01\", expect_size=\"39396352\"] \n  13 -> 14 [size =\"39396352\"]\n  14 [size=\"83409920\", alpha=\"0.20\", expect_size=\"33363968\"] \n  14 -> 15 [size =\"33363968\"]\n  15 [size=\"108925440\", alpha=\"0.10\", expect_size=\"43570176\"] \n  15 -> 16 [size =\"43570176\"]\n  16 [size=\"93642240\", alpha=\"0.11\", expect_size=\"37456896\"] \n  16 -> 17 [size =\"37456896\"]\n  17 [size=\"103395840\", alpha=\"0.16\", expect_size=\"41358336\"] \n  17 -> 18 [size =\"41358336\"]\n  17 -> 19 [size =\"41358336\"]\n  18 [size=\"114606080\", alpha=\"0.14\", expect_size=\"45842432\"] \n  18 -> 20 [size =\"45842432\"]\n  18 -> 21 [size =\"45842432\"]\n  19 [size=\"87147520\", alpha=\"0.18\", expect_size=\"34859008\"] \n  19 -> 20 [size =\"34859008\"]\n  20 [size=\"69294080\", alpha=\"0.02\", expect_size=\"27717632\"] \n  20 -> 22 [size =\"27717632\"]\n  20 -> 23 [size =\"27717632\"]\n  21 [size=\"121461760\", alpha=\"0.15\", expect_size=\"48584704\"] \n  22 [size=\"46297600\", alpha=\"0.06\", expect_size=\"18519040\"] \n  22 -> 24 [size =\"18519040\"]\n  22 -> 25 [size =\"18519040\"]\n  23 [size=\"29514240\", alpha=\"0.02\", expect_size=\"11805696\"] \n  23 -> 24 [size =\"11805696\"]\n  23 -> 25 [size =\"11805696\"]\n  24 [size=\"34237440\", alpha=\"0.13\", expect_size=\"13694976\"] \n  24 -> 26 [size =\"13694976\"]\n  25 [size=\"33126400\", alpha=\"0.20\", expect_size=\"13250560\"] \n  26 [size=\"91345920\", alpha=\"0.14\", expect_size=\"36538368\"] \n  26 -> 27 [size =\"36538368\"]\n  27 [size=\"36508160\", alpha=\"0.00\", expect_size=\"14603264\"] \n  27 -> 28 [size =\"14603264\"]\n  27 -> 29 [size =\"14603264\"]\n  28 [size=\"15854080\", alpha=\"0.09\", expect_size=\"6341632\"] \n  28 -> 30 [size =\"6341632\"]\n  28 -> 31 [size =\"6341632\"]\n  29 [size=\"95582720\", alpha=\"0.20\", expect_size=\"38233088\"] \n  29 -> 30 [size =\"38233088\"]\n  30 [size=\"85056000\", alpha=\"0.06\", expect_size=\"34022400\"] \n  30 -> 32 [size =\"34022400\"]\n  30 -> 33 [size =\"34022400\"]\n  31 [size=\"96412160\", alpha=\"0.20\", expect_size=\"38564864\"] \n  31 -> 33 [size =\"38564864\"]\n  32 [size=\"69619200\", alpha=\"0.16\", expect_size=\"27847680\"] \n  32 -> 34 [size =\"27847680\"]\n  33 [size=\"105674240\", alpha=\"0.07\", expect_size=\"42269696\"] \n  33 -> 34 [size =\"42269696\"]\n  33 -> 35 [size =\"42269696\"]\n  34 [size=\"114718720\", alpha=\"0.10\", expect_size=\"45887488\"] \n  35 [size=\"73016320\", alpha=\"0.09\", expect_size=\"29206528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31703040\", alpha=\"0.05\", expect_size=\"12681216\"] \n  1 -> 2 [size =\"12681216\"]\n  2 [size=\"125511680\", alpha=\"0.14\", expect_size=\"50204672\"] \n  2 -> 3 [size =\"50204672\"]\n  3 [size=\"69219840\", alpha=\"0.11\", expect_size=\"27687936\"] \n  3 -> 4 [size =\"27687936\"]\n  4 [size=\"41579520\", alpha=\"0.07\", expect_size=\"16631808\"] \n  4 -> 5 [size =\"16631808\"]\n  5 [size=\"33630720\", alpha=\"0.03\", expect_size=\"13452288\"] \n  5 -> 6 [size =\"13452288\"]\n  6 [size=\"22190080\", alpha=\"0.05\", expect_size=\"8876032\"] \n  6 -> 7 [size =\"8876032\"]\n  7 [size=\"58682880\", alpha=\"0.11\", expect_size=\"23473152\"] \n  7 -> 8 [size =\"23473152\"]\n  8 [size=\"109821440\", alpha=\"0.13\", expect_size=\"43928576\"] \n  8 -> 9 [size =\"43928576\"]\n  9 [size=\"32394240\", alpha=\"0.03\", expect_size=\"12957696\"] \n  9 -> 10 [size =\"12957696\"]\n  10 [size=\"70643200\", alpha=\"0.05\", expect_size=\"28257280\"] \n  10 -> 11 [size =\"28257280\"]\n  11 [size=\"131002880\", alpha=\"0.07\", expect_size=\"52401152\"] \n  11 -> 12 [size =\"52401152\"]\n  12 [size=\"44451840\", alpha=\"0.06\", expect_size=\"17780736\"] \n  12 -> 13 [size =\"17780736\"]\n  13 [size=\"124259840\", alpha=\"0.02\", expect_size=\"49703936\"] \n  13 -> 14 [size =\"49703936\"]\n  14 [size=\"69040640\", alpha=\"0.06\", expect_size=\"27616256\"] \n  14 -> 15 [size =\"27616256\"]\n  15 [size=\"107389440\", alpha=\"0.15\", expect_size=\"42955776\"] \n  15 -> 16 [size =\"42955776\"]\n  16 [size=\"125132800\", alpha=\"0.19\", expect_size=\"50053120\"] \n  16 -> 17 [size =\"50053120\"]\n  17 [size=\"35025920\", alpha=\"0.12\", expect_size=\"14010368\"] \n  17 -> 18 [size =\"14010368\"]\n  18 [size=\"98163200\", alpha=\"0.04\", expect_size=\"39265280\"] \n  18 -> 19 [size =\"39265280\"]\n  19 [size=\"56296960\", alpha=\"0.17\", expect_size=\"22518784\"] \n  19 -> 20 [size =\"22518784\"]\n  20 [size=\"74344960\", alpha=\"0.02\", expect_size=\"29737984\"] \n  20 -> 21 [size =\"29737984\"]\n  21 [size=\"103329280\", alpha=\"0.10\", expect_size=\"41331712\"] \n  21 -> 22 [size =\"41331712\"]\n  22 [size=\"25338880\", alpha=\"0.18\", expect_size=\"10135552\"] \n  22 -> 23 [size =\"10135552\"]\n  23 [size=\"60887040\", alpha=\"0.14\", expect_size=\"24354816\"] \n  23 -> 24 [size =\"24354816\"]\n  24 [size=\"73838080\", alpha=\"0.16\", expect_size=\"29535232\"] \n  24 -> 25 [size =\"29535232\"]\n  25 [size=\"111321600\", alpha=\"0.01\", expect_size=\"44528640\"] \n  25 -> 26 [size =\"44528640\"]\n  26 [size=\"81635840\", alpha=\"0.08\", expect_size=\"32654336\"] \n  26 -> 27 [size =\"32654336\"]\n  27 [size=\"76464640\", alpha=\"0.02\", expect_size=\"30585856\"] \n  27 -> 28 [size =\"30585856\"]\n  28 [size=\"27609600\", alpha=\"0.13\", expect_size=\"11043840\"] \n  28 -> 29 [size =\"11043840\"]\n  29 [size=\"54090240\", alpha=\"0.07\", expect_size=\"21636096\"] \n  29 -> 30 [size =\"21636096\"]\n  30 [size=\"35107840\", alpha=\"0.11\", expect_size=\"14043136\"] \n  30 -> 31 [size =\"14043136\"]\n  31 [size=\"46320640\", alpha=\"0.15\", expect_size=\"18528256\"] \n  31 -> 32 [size =\"18528256\"]\n  32 [size=\"106324480\", alpha=\"0.04\", expect_size=\"42529792\"] \n  32 -> 33 [size =\"42529792\"]\n  33 [size=\"91601920\", alpha=\"0.12\", expect_size=\"36640768\"] \n  33 -> 34 [size =\"36640768\"]\n  34 [size=\"58265600\", alpha=\"0.09\", expect_size=\"23306240\"] \n  34 -> 35 [size =\"23306240\"]\n  35 [size=\"34785280\", alpha=\"0.03\", expect_size=\"13914112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28014592\", alpha=\"0.04\", expect_size=\"14007296\"] \n  1 -> 9 [size =\"14007296\"]\n  1 -> 10 [size =\"14007296\"]\n  2 [size=\"76595200\", alpha=\"0.02\", expect_size=\"38297600\"] \n  2 -> 6 [size =\"38297600\"]\n  2 -> 8 [size =\"38297600\"]\n  2 -> 9 [size =\"38297600\"]\n  3 [size=\"51548160\", alpha=\"0.18\", expect_size=\"25774080\"] \n  3 -> 10 [size =\"25774080\"]\n  4 [size=\"69314560\", alpha=\"0.16\", expect_size=\"34657280\"] \n  4 -> 6 [size =\"34657280\"]\n  4 -> 7 [size =\"34657280\"]\n  4 -> 8 [size =\"34657280\"]\n  4 -> 10 [size =\"34657280\"]\n  5 [size=\"84656128\", alpha=\"0.19\", expect_size=\"42328064\"] \n  5 -> 6 [size =\"42328064\"]\n  5 -> 7 [size =\"42328064\"]\n  5 -> 9 [size =\"42328064\"]\n  6 [size=\"69410816\", alpha=\"0.04\", expect_size=\"34705408\"] \n  6 -> 12 [size =\"34705408\"]\n  6 -> 14 [size =\"34705408\"]\n  6 -> 15 [size =\"34705408\"]\n  7 [size=\"53032960\", alpha=\"0.13\", expect_size=\"26516480\"] \n  7 -> 11 [size =\"26516480\"]\n  7 -> 12 [size =\"26516480\"]\n  7 -> 13 [size =\"26516480\"]\n  7 -> 14 [size =\"26516480\"]\n  8 [size=\"32110592\", alpha=\"0.09\", expect_size=\"16055296\"] \n  8 -> 13 [size =\"16055296\"]\n  8 -> 15 [size =\"16055296\"]\n  9 [size=\"92141568\", alpha=\"0.17\", expect_size=\"46070784\"] \n  9 -> 11 [size =\"46070784\"]\n  9 -> 12 [size =\"46070784\"]\n  9 -> 13 [size =\"46070784\"]\n  10 [size=\"56946688\", alpha=\"0.14\", expect_size=\"28473344\"] \n  10 -> 11 [size =\"28473344\"]\n  10 -> 12 [size =\"28473344\"]\n  10 -> 13 [size =\"28473344\"]\n  11 [size=\"13287424\", alpha=\"0.06\", expect_size=\"6643712\"] \n  11 -> 16 [size =\"6643712\"]\n  12 [size=\"34222080\", alpha=\"0.02\", expect_size=\"17111040\"] \n  12 -> 17 [size =\"17111040\"]\n  12 -> 19 [size =\"17111040\"]\n  13 [size=\"42612736\", alpha=\"0.02\", expect_size=\"21306368\"] \n  13 -> 19 [size =\"21306368\"]\n  14 [size=\"35465216\", alpha=\"0.01\", expect_size=\"17732608\"] \n  14 -> 16 [size =\"17732608\"]\n  14 -> 19 [size =\"17732608\"]\n  15 [size=\"16943104\", alpha=\"0.17\", expect_size=\"8471552\"] \n  15 -> 16 [size =\"8471552\"]\n  15 -> 17 [size =\"8471552\"]\n  15 -> 18 [size =\"8471552\"]\n  16 [size=\"12691456\", alpha=\"0.17\", expect_size=\"6345728\"] \n  16 -> 20 [size =\"6345728\"]\n  16 -> 21 [size =\"6345728\"]\n  17 [size=\"33863680\", alpha=\"0.04\", expect_size=\"16931840\"] \n  17 -> 22 [size =\"16931840\"]\n  18 [size=\"93040640\", alpha=\"0.07\", expect_size=\"46520320\"] \n  18 -> 20 [size =\"46520320\"]\n  18 -> 22 [size =\"46520320\"]\n  18 -> 23 [size =\"46520320\"]\n  18 -> 24 [size =\"46520320\"]\n  19 [size=\"42600448\", alpha=\"0.00\", expect_size=\"21300224\"] \n  19 -> 24 [size =\"21300224\"]\n  20 [size=\"29140992\", alpha=\"0.06\", expect_size=\"14570496\"] \n  20 -> 28 [size =\"14570496\"]\n  20 -> 29 [size =\"14570496\"]\n  21 [size=\"95293440\", alpha=\"0.16\", expect_size=\"47646720\"] \n  21 -> 26 [size =\"47646720\"]\n  21 -> 27 [size =\"47646720\"]\n  21 -> 29 [size =\"47646720\"]\n  22 [size=\"26943488\", alpha=\"0.20\", expect_size=\"13471744\"] \n  22 -> 26 [size =\"13471744\"]\n  22 -> 27 [size =\"13471744\"]\n  22 -> 29 [size =\"13471744\"]\n  23 [size=\"36423680\", alpha=\"0.12\", expect_size=\"18211840\"] \n  23 -> 25 [size =\"18211840\"]\n  23 -> 26 [size =\"18211840\"]\n  23 -> 27 [size =\"18211840\"]\n  24 [size=\"45371392\", alpha=\"0.17\", expect_size=\"22685696\"] \n  24 -> 25 [size =\"22685696\"]\n  24 -> 26 [size =\"22685696\"]\n  25 [size=\"51990528\", alpha=\"0.18\", expect_size=\"25995264\"] \n  25 -> 32 [size =\"25995264\"]\n  25 -> 33 [size =\"25995264\"]\n  25 -> 34 [size =\"25995264\"]\n  26 [size=\"36466688\", alpha=\"0.11\", expect_size=\"18233344\"] \n  26 -> 31 [size =\"18233344\"]\n  27 [size=\"22525952\", alpha=\"0.13\", expect_size=\"11262976\"] \n  27 -> 30 [size =\"11262976\"]\n  27 -> 33 [size =\"11262976\"]\n  27 -> 34 [size =\"11262976\"]\n  28 [size=\"43030528\", alpha=\"0.20\", expect_size=\"21515264\"] \n  28 -> 34 [size =\"21515264\"]\n  29 [size=\"77709312\", alpha=\"0.04\", expect_size=\"38854656\"] \n  29 -> 30 [size =\"38854656\"]\n  29 -> 32 [size =\"38854656\"]\n  29 -> 33 [size =\"38854656\"]\n  29 -> 34 [size =\"38854656\"]\n  30 [size=\"79790080\", alpha=\"0.18\", expect_size=\"39895040\"] \n  30 -> 35 [size =\"39895040\"]\n  31 [size=\"15900672\", alpha=\"0.12\", expect_size=\"7950336\"] \n  32 [size=\"92313600\", alpha=\"0.12\", expect_size=\"46156800\"] \n  33 [size=\"92020736\", alpha=\"0.18\", expect_size=\"46010368\"] \n  34 [size=\"56088576\", alpha=\"0.10\", expect_size=\"28044288\"] \n  34 -> 35 [size =\"28044288\"]\n  35 [size=\"43343872\", alpha=\"0.03\", expect_size=\"21671936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:37 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58402133\", alpha=\"0.19\", expect_size=\"17520640\"] \n  1 -> 2 [size =\"17520640\"]\n  1 -> 3 [size =\"17520640\"]\n  2 [size=\"17902933\", alpha=\"0.12\", expect_size=\"5370880\"] \n  2 -> 4 [size =\"5370880\"]\n  3 [size=\"134092800\", alpha=\"0.12\", expect_size=\"40227840\"] \n  3 -> 5 [size =\"40227840\"]\n  4 [size=\"85282133\", alpha=\"0.10\", expect_size=\"25584640\"] \n  5 [size=\"154716160\", alpha=\"0.07\", expect_size=\"46414848\"] \n  5 -> 6 [size =\"46414848\"]\n  6 [size=\"151487147\", alpha=\"0.18\", expect_size=\"45446144\"] \n  6 -> 7 [size =\"45446144\"]\n  6 -> 8 [size =\"45446144\"]\n  7 [size=\"99396267\", alpha=\"0.06\", expect_size=\"29818880\"] \n  7 -> 9 [size =\"29818880\"]\n  8 [size=\"80773120\", alpha=\"0.12\", expect_size=\"24231936\"] \n  8 -> 9 [size =\"24231936\"]\n  9 [size=\"120084480\", alpha=\"0.06\", expect_size=\"36025344\"] \n  9 -> 10 [size =\"36025344\"]\n  9 -> 11 [size =\"36025344\"]\n  10 [size=\"28955307\", alpha=\"0.11\", expect_size=\"8686592\"] \n  10 -> 12 [size =\"8686592\"]\n  10 -> 13 [size =\"8686592\"]\n  11 [size=\"54545067\", alpha=\"0.18\", expect_size=\"16363520\"] \n  11 -> 12 [size =\"16363520\"]\n  11 -> 13 [size =\"16363520\"]\n  12 [size=\"43089920\", alpha=\"0.09\", expect_size=\"12926976\"] \n  12 -> 14 [size =\"12926976\"]\n  13 [size=\"137854293\", alpha=\"0.04\", expect_size=\"41356288\"] \n  13 -> 15 [size =\"41356288\"]\n  14 [size=\"74059093\", alpha=\"0.05\", expect_size=\"22217728\"] \n  15 [size=\"149449387\", alpha=\"0.06\", expect_size=\"44834816\"] \n  15 -> 16 [size =\"44834816\"]\n  16 [size=\"49646933\", alpha=\"0.08\", expect_size=\"14894080\"] \n  16 -> 17 [size =\"14894080\"]\n  16 -> 18 [size =\"14894080\"]\n  17 [size=\"35242667\", alpha=\"0.14\", expect_size=\"10572800\"] \n  17 -> 19 [size =\"10572800\"]\n  17 -> 20 [size =\"10572800\"]\n  18 [size=\"79189333\", alpha=\"0.14\", expect_size=\"23756800\"] \n  18 -> 19 [size =\"23756800\"]\n  18 -> 20 [size =\"23756800\"]\n  19 [size=\"170028373\", alpha=\"0.18\", expect_size=\"51008512\"] \n  19 -> 21 [size =\"51008512\"]\n  20 [size=\"61071360\", alpha=\"0.06\", expect_size=\"18321408\"] \n  20 -> 21 [size =\"18321408\"]\n  21 [size=\"143820800\", alpha=\"0.19\", expect_size=\"43146240\"] \n  21 -> 22 [size =\"43146240\"]\n  22 [size=\"131727360\", alpha=\"0.13\", expect_size=\"39518208\"] \n  22 -> 23 [size =\"39518208\"]\n  22 -> 24 [size =\"39518208\"]\n  23 [size=\"46452053\", alpha=\"0.01\", expect_size=\"13935616\"] \n  23 -> 26 [size =\"13935616\"]\n  24 [size=\"76516693\", alpha=\"0.18\", expect_size=\"22955008\"] \n  24 -> 25 [size =\"22955008\"]\n  24 -> 26 [size =\"22955008\"]\n  25 [size=\"116384427\", alpha=\"0.12\", expect_size=\"34915328\"] \n  25 -> 27 [size =\"34915328\"]\n  26 [size=\"162624853\", alpha=\"0.03\", expect_size=\"48787456\"] \n  26 -> 27 [size =\"48787456\"]\n  27 [size=\"70734507\", alpha=\"0.05\", expect_size=\"21220352\"] \n  27 -> 28 [size =\"21220352\"]\n  28 [size=\"23125333\", alpha=\"0.15\", expect_size=\"6937600\"] \n  28 -> 29 [size =\"6937600\"]\n  29 [size=\"132150613\", alpha=\"0.18\", expect_size=\"39645184\"] \n  29 -> 30 [size =\"39645184\"]\n  29 -> 31 [size =\"39645184\"]\n  30 [size=\"116858880\", alpha=\"0.02\", expect_size=\"35057664\"] \n  30 -> 32 [size =\"35057664\"]\n  31 [size=\"165399893\", alpha=\"0.11\", expect_size=\"49619968\"] \n  31 -> 32 [size =\"49619968\"]\n  32 [size=\"161416533\", alpha=\"0.03\", expect_size=\"48424960\"] \n  32 -> 33 [size =\"48424960\"]\n  33 [size=\"105342293\", alpha=\"0.11\", expect_size=\"31602688\"] \n  33 -> 34 [size =\"31602688\"]\n  34 [size=\"113793707\", alpha=\"0.06\", expect_size=\"34138112\"] \n  34 -> 35 [size =\"34138112\"]\n  35 [size=\"97290240\", alpha=\"0.17\", expect_size=\"29187072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67014656\", alpha=\"0.04\", expect_size=\"33507328\"] \n  1 -> 25 [size =\"33507328\"]\n  1 -> 35 [size =\"33507328\"]\n  2 [size=\"20465664\", alpha=\"0.05\", expect_size=\"10232832\"] \n  2 -> 19 [size =\"10232832\"]\n  2 -> 20 [size =\"10232832\"]\n  2 -> 25 [size =\"10232832\"]\n  2 -> 26 [size =\"10232832\"]\n  2 -> 27 [size =\"10232832\"]\n  2 -> 35 [size =\"10232832\"]\n  3 [size=\"48076800\", alpha=\"0.11\", expect_size=\"24038400\"] \n  3 -> 19 [size =\"24038400\"]\n  3 -> 22 [size =\"24038400\"]\n  3 -> 25 [size =\"24038400\"]\n  3 -> 33 [size =\"24038400\"]\n  4 [size=\"25350144\", alpha=\"0.01\", expect_size=\"12675072\"] \n  4 -> 23 [size =\"12675072\"]\n  4 -> 25 [size =\"12675072\"]\n  4 -> 25 [size =\"12675072\"]\n  4 -> 28 [size =\"12675072\"]\n  4 -> 33 [size =\"12675072\"]\n  5 [size=\"91662336\", alpha=\"0.17\", expect_size=\"45831168\"] \n  5 -> 19 [size =\"45831168\"]\n  5 -> 26 [size =\"45831168\"]\n  5 -> 31 [size =\"45831168\"]\n  5 -> 33 [size =\"45831168\"]\n  6 [size=\"62134272\", alpha=\"0.04\", expect_size=\"31067136\"] \n  6 -> 26 [size =\"31067136\"]\n  6 -> 35 [size =\"31067136\"]\n  7 [size=\"23998464\", alpha=\"0.17\", expect_size=\"11999232\"] \n  7 -> 20 [size =\"11999232\"]\n  7 -> 28 [size =\"11999232\"]\n  7 -> 30 [size =\"11999232\"]\n  7 -> 35 [size =\"11999232\"]\n  8 [size=\"84336640\", alpha=\"0.07\", expect_size=\"42168320\"] \n  8 -> 20 [size =\"42168320\"]\n  8 -> 22 [size =\"42168320\"]\n  8 -> 25 [size =\"42168320\"]\n  8 -> 26 [size =\"42168320\"]\n  8 -> 29 [size =\"42168320\"]\n  8 -> 30 [size =\"42168320\"]\n  8 -> 32 [size =\"42168320\"]\n  8 -> 33 [size =\"42168320\"]\n  9 [size=\"16523264\", alpha=\"0.06\", expect_size=\"8261632\"] \n  9 -> 22 [size =\"8261632\"]\n  9 -> 24 [size =\"8261632\"]\n  9 -> 30 [size =\"8261632\"]\n  9 -> 31 [size =\"8261632\"]\n  10 [size=\"62640128\", alpha=\"0.12\", expect_size=\"31320064\"] \n  10 -> 19 [size =\"31320064\"]\n  10 -> 20 [size =\"31320064\"]\n  10 -> 26 [size =\"31320064\"]\n  10 -> 28 [size =\"31320064\"]\n  10 -> 34 [size =\"31320064\"]\n  11 [size=\"84551680\", alpha=\"0.17\", expect_size=\"42275840\"] \n  11 -> 24 [size =\"42275840\"]\n  11 -> 25 [size =\"42275840\"]\n  11 -> 27 [size =\"42275840\"]\n  11 -> 28 [size =\"42275840\"]\n  12 [size=\"102297600\", alpha=\"0.19\", expect_size=\"51148800\"] \n  12 -> 19 [size =\"51148800\"]\n  12 -> 22 [size =\"51148800\"]\n  12 -> 27 [size =\"51148800\"]\n  12 -> 28 [size =\"51148800\"]\n  12 -> 31 [size =\"51148800\"]\n  13 [size=\"33609728\", alpha=\"0.05\", expect_size=\"16804864\"] \n  13 -> 19 [size =\"16804864\"]\n  13 -> 24 [size =\"16804864\"]\n  13 -> 26 [size =\"16804864\"]\n  13 -> 28 [size =\"16804864\"]\n  13 -> 31 [size =\"16804864\"]\n  13 -> 33 [size =\"16804864\"]\n  13 -> 34 [size =\"16804864\"]\n  14 [size=\"87605248\", alpha=\"0.03\", expect_size=\"43802624\"] \n  14 -> 20 [size =\"43802624\"]\n  14 -> 27 [size =\"43802624\"]\n  14 -> 28 [size =\"43802624\"]\n  14 -> 31 [size =\"43802624\"]\n  14 -> 34 [size =\"43802624\"]\n  15 [size=\"90132480\", alpha=\"0.04\", expect_size=\"45066240\"] \n  15 -> 22 [size =\"45066240\"]\n  15 -> 26 [size =\"45066240\"]\n  15 -> 27 [size =\"45066240\"]\n  15 -> 30 [size =\"45066240\"]\n  15 -> 35 [size =\"45066240\"]\n  16 [size=\"75329536\", alpha=\"0.10\", expect_size=\"37664768\"] \n  16 -> 21 [size =\"37664768\"]\n  16 -> 26 [size =\"37664768\"]\n  16 -> 31 [size =\"37664768\"]\n  17 [size=\"95617024\", alpha=\"0.02\", expect_size=\"47808512\"] \n  17 -> 19 [size =\"47808512\"]\n  17 -> 20 [size =\"47808512\"]\n  17 -> 24 [size =\"47808512\"]\n  17 -> 28 [size =\"47808512\"]\n  17 -> 32 [size =\"47808512\"]\n  18 [size=\"79239168\", alpha=\"0.01\", expect_size=\"39619584\"] \n  18 -> 27 [size =\"39619584\"]\n  18 -> 28 [size =\"39619584\"]\n  18 -> 31 [size =\"39619584\"]\n  18 -> 33 [size =\"39619584\"]\n  18 -> 35 [size =\"39619584\"]\n  19 [size=\"16324608\", alpha=\"0.03\", expect_size=\"8162304\"] \n  20 [size=\"45563904\", alpha=\"0.05\", expect_size=\"22781952\"] \n  21 [size=\"100521984\", alpha=\"0.19\", expect_size=\"50260992\"] \n  22 [size=\"88291328\", alpha=\"0.15\", expect_size=\"44145664\"] \n  23 [size=\"81700864\", alpha=\"0.19\", expect_size=\"40850432\"] \n  24 [size=\"12226560\", alpha=\"0.06\", expect_size=\"6113280\"] \n  25 [size=\"24102912\", alpha=\"0.10\", expect_size=\"12051456\"] \n  26 [size=\"44625920\", alpha=\"0.05\", expect_size=\"22312960\"] \n  27 [size=\"92708864\", alpha=\"0.03\", expect_size=\"46354432\"] \n  28 [size=\"103796736\", alpha=\"0.17\", expect_size=\"51898368\"] \n  29 [size=\"15671296\", alpha=\"0.12\", expect_size=\"7835648\"] \n  30 [size=\"30382080\", alpha=\"0.18\", expect_size=\"15191040\"] \n  31 [size=\"53690368\", alpha=\"0.19\", expect_size=\"26845184\"] \n  32 [size=\"47755264\", alpha=\"0.01\", expect_size=\"23877632\"] \n  33 [size=\"22556672\", alpha=\"0.07\", expect_size=\"11278336\"] \n  34 [size=\"15685632\", alpha=\"0.09\", expect_size=\"7842816\"] \n  35 [size=\"42010624\", alpha=\"0.09\", expect_size=\"21005312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24199168\", alpha=\"0.16\", expect_size=\"12099584\"] \n  1 -> 10 [size =\"12099584\"]\n  2 [size=\"66220032\", alpha=\"0.03\", expect_size=\"33110016\"] \n  2 -> 9 [size =\"33110016\"]\n  2 -> 11 [size =\"33110016\"]\n  2 -> 12 [size =\"33110016\"]\n  2 -> 13 [size =\"33110016\"]\n  3 [size=\"17014784\", alpha=\"0.07\", expect_size=\"8507392\"] \n  3 -> 8 [size =\"8507392\"]\n  3 -> 10 [size =\"8507392\"]\n  3 -> 13 [size =\"8507392\"]\n  4 [size=\"102428672\", alpha=\"0.07\", expect_size=\"51214336\"] \n  4 -> 8 [size =\"51214336\"]\n  4 -> 10 [size =\"51214336\"]\n  4 -> 12 [size =\"51214336\"]\n  5 [size=\"93159424\", alpha=\"0.17\", expect_size=\"46579712\"] \n  5 -> 7 [size =\"46579712\"]\n  5 -> 8 [size =\"46579712\"]\n  5 -> 10 [size =\"46579712\"]\n  5 -> 11 [size =\"46579712\"]\n  5 -> 12 [size =\"46579712\"]\n  5 -> 13 [size =\"46579712\"]\n  6 [size=\"12910592\", alpha=\"0.18\", expect_size=\"6455296\"] \n  6 -> 11 [size =\"6455296\"]\n  6 -> 12 [size =\"6455296\"]\n  6 -> 13 [size =\"6455296\"]\n  7 [size=\"23996416\", alpha=\"0.14\", expect_size=\"11998208\"] \n  7 -> 14 [size =\"11998208\"]\n  7 -> 16 [size =\"11998208\"]\n  7 -> 17 [size =\"11998208\"]\n  8 [size=\"27727872\", alpha=\"0.10\", expect_size=\"13863936\"] \n  8 -> 17 [size =\"13863936\"]\n  8 -> 18 [size =\"13863936\"]\n  9 [size=\"99807232\", alpha=\"0.09\", expect_size=\"49903616\"] \n  9 -> 17 [size =\"49903616\"]\n  9 -> 18 [size =\"49903616\"]\n  10 [size=\"53358592\", alpha=\"0.09\", expect_size=\"26679296\"] \n  10 -> 17 [size =\"26679296\"]\n  11 [size=\"31582208\", alpha=\"0.02\", expect_size=\"15791104\"] \n  11 -> 14 [size =\"15791104\"]\n  11 -> 17 [size =\"15791104\"]\n  12 [size=\"14221312\", alpha=\"0.15\", expect_size=\"7110656\"] \n  12 -> 14 [size =\"7110656\"]\n  13 [size=\"27879424\", alpha=\"0.08\", expect_size=\"13939712\"] \n  13 -> 14 [size =\"13939712\"]\n  13 -> 15 [size =\"13939712\"]\n  14 [size=\"59668480\", alpha=\"0.16\", expect_size=\"29834240\"] \n  14 -> 20 [size =\"29834240\"]\n  14 -> 21 [size =\"29834240\"]\n  15 [size=\"91981824\", alpha=\"0.10\", expect_size=\"45990912\"] \n  15 -> 22 [size =\"45990912\"]\n  15 -> 24 [size =\"45990912\"]\n  16 [size=\"79071232\", alpha=\"0.19\", expect_size=\"39535616\"] \n  16 -> 19 [size =\"39535616\"]\n  16 -> 21 [size =\"39535616\"]\n  16 -> 22 [size =\"39535616\"]\n  16 -> 24 [size =\"39535616\"]\n  17 [size=\"69593088\", alpha=\"0.15\", expect_size=\"34796544\"] \n  17 -> 19 [size =\"34796544\"]\n  18 [size=\"41084928\", alpha=\"0.17\", expect_size=\"20542464\"] \n  18 -> 20 [size =\"20542464\"]\n  18 -> 21 [size =\"20542464\"]\n  18 -> 23 [size =\"20542464\"]\n  18 -> 24 [size =\"20542464\"]\n  19 [size=\"88272896\", alpha=\"0.16\", expect_size=\"44136448\"] \n  19 -> 25 [size =\"44136448\"]\n  19 -> 27 [size =\"44136448\"]\n  19 -> 28 [size =\"44136448\"]\n  19 -> 29 [size =\"44136448\"]\n  20 [size=\"38539264\", alpha=\"0.10\", expect_size=\"19269632\"] \n  20 -> 26 [size =\"19269632\"]\n  20 -> 27 [size =\"19269632\"]\n  20 -> 28 [size =\"19269632\"]\n  21 [size=\"82427904\", alpha=\"0.06\", expect_size=\"41213952\"] \n  21 -> 27 [size =\"41213952\"]\n  21 -> 31 [size =\"41213952\"]\n  22 [size=\"94199808\", alpha=\"0.15\", expect_size=\"47099904\"] \n  22 -> 28 [size =\"47099904\"]\n  22 -> 29 [size =\"47099904\"]\n  22 -> 30 [size =\"47099904\"]\n  22 -> 31 [size =\"47099904\"]\n  23 [size=\"68560896\", alpha=\"0.05\", expect_size=\"34280448\"] \n  23 -> 25 [size =\"34280448\"]\n  23 -> 26 [size =\"34280448\"]\n  23 -> 31 [size =\"34280448\"]\n  24 [size=\"13281280\", alpha=\"0.15\", expect_size=\"6640640\"] \n  24 -> 27 [size =\"6640640\"]\n  24 -> 29 [size =\"6640640\"]\n  24 -> 31 [size =\"6640640\"]\n  25 [size=\"89430016\", alpha=\"0.02\", expect_size=\"44715008\"] \n  26 [size=\"43485184\", alpha=\"0.09\", expect_size=\"21742592\"] \n  26 -> 32 [size =\"21742592\"]\n  26 -> 33 [size =\"21742592\"]\n  26 -> 34 [size =\"21742592\"]\n  26 -> 35 [size =\"21742592\"]\n  27 [size=\"39247872\", alpha=\"0.20\", expect_size=\"19623936\"] \n  27 -> 32 [size =\"19623936\"]\n  27 -> 34 [size =\"19623936\"]\n  28 [size=\"14229504\", alpha=\"0.14\", expect_size=\"7114752\"] \n  28 -> 35 [size =\"7114752\"]\n  29 [size=\"92801024\", alpha=\"0.07\", expect_size=\"46400512\"] \n  29 -> 34 [size =\"46400512\"]\n  30 [size=\"72024064\", alpha=\"0.09\", expect_size=\"36012032\"] \n  31 [size=\"22728704\", alpha=\"0.16\", expect_size=\"11364352\"] \n  31 -> 34 [size =\"11364352\"]\n  31 -> 35 [size =\"11364352\"]\n  32 [size=\"53002240\", alpha=\"0.03\", expect_size=\"26501120\"] \n  33 [size=\"29833216\", alpha=\"0.14\", expect_size=\"14916608\"] \n  34 [size=\"54126592\", alpha=\"0.16\", expect_size=\"27063296\"] \n  35 [size=\"29081600\", alpha=\"0.14\", expect_size=\"14540800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122007040\", alpha=\"0.02\", expect_size=\"48802816\"] \n  1 -> 7 [size =\"48802816\"]\n  1 -> 8 [size =\"48802816\"]\n  1 -> 10 [size =\"48802816\"]\n  1 -> 11 [size =\"48802816\"]\n  2 [size=\"126796800\", alpha=\"0.06\", expect_size=\"50718720\"] \n  2 -> 6 [size =\"50718720\"]\n  2 -> 7 [size =\"50718720\"]\n  2 -> 8 [size =\"50718720\"]\n  2 -> 9 [size =\"50718720\"]\n  3 [size=\"109155840\", alpha=\"0.05\", expect_size=\"43662336\"] \n  3 -> 7 [size =\"43662336\"]\n  4 [size=\"56023040\", alpha=\"0.00\", expect_size=\"22409216\"] \n  4 -> 6 [size =\"22409216\"]\n  4 -> 7 [size =\"22409216\"]\n  4 -> 8 [size =\"22409216\"]\n  4 -> 11 [size =\"22409216\"]\n  5 [size=\"130972160\", alpha=\"0.17\", expect_size=\"52388864\"] \n  5 -> 6 [size =\"52388864\"]\n  5 -> 8 [size =\"52388864\"]\n  5 -> 11 [size =\"52388864\"]\n  6 [size=\"87559680\", alpha=\"0.15\", expect_size=\"35023872\"] \n  6 -> 13 [size =\"35023872\"]\n  7 [size=\"84410880\", alpha=\"0.15\", expect_size=\"33764352\"] \n  8 [size=\"26311680\", alpha=\"0.07\", expect_size=\"10524672\"] \n  8 -> 14 [size =\"10524672\"]\n  9 [size=\"120192000\", alpha=\"0.14\", expect_size=\"48076800\"] \n  9 -> 12 [size =\"48076800\"]\n  9 -> 14 [size =\"48076800\"]\n  10 [size=\"44249600\", alpha=\"0.12\", expect_size=\"17699840\"] \n  11 [size=\"14184960\", alpha=\"0.17\", expect_size=\"5673984\"] \n  11 -> 12 [size =\"5673984\"]\n  12 [size=\"28006400\", alpha=\"0.14\", expect_size=\"11202560\"] \n  12 -> 16 [size =\"11202560\"]\n  12 -> 17 [size =\"11202560\"]\n  12 -> 18 [size =\"11202560\"]\n  13 [size=\"61411840\", alpha=\"0.12\", expect_size=\"24564736\"] \n  13 -> 15 [size =\"24564736\"]\n  13 -> 17 [size =\"24564736\"]\n  14 [size=\"90736640\", alpha=\"0.07\", expect_size=\"36294656\"] \n  14 -> 17 [size =\"36294656\"]\n  14 -> 18 [size =\"36294656\"]\n  15 [size=\"93276160\", alpha=\"0.10\", expect_size=\"37310464\"] \n  15 -> 20 [size =\"37310464\"]\n  16 [size=\"74150400\", alpha=\"0.02\", expect_size=\"29660160\"] \n  16 -> 21 [size =\"29660160\"]\n  16 -> 22 [size =\"29660160\"]\n  17 [size=\"41966080\", alpha=\"0.13\", expect_size=\"16786432\"] \n  17 -> 19 [size =\"16786432\"]\n  17 -> 21 [size =\"16786432\"]\n  18 [size=\"14807040\", alpha=\"0.16\", expect_size=\"5922816\"] \n  18 -> 19 [size =\"5922816\"]\n  19 [size=\"54215680\", alpha=\"0.02\", expect_size=\"21686272\"] \n  19 -> 23 [size =\"21686272\"]\n  19 -> 24 [size =\"21686272\"]\n  19 -> 25 [size =\"21686272\"]\n  19 -> 27 [size =\"21686272\"]\n  19 -> 28 [size =\"21686272\"]\n  20 [size=\"21475840\", alpha=\"0.02\", expect_size=\"8590336\"] \n  20 -> 23 [size =\"8590336\"]\n  20 -> 26 [size =\"8590336\"]\n  21 [size=\"90728960\", alpha=\"0.20\", expect_size=\"36291584\"] \n  21 -> 25 [size =\"36291584\"]\n  21 -> 26 [size =\"36291584\"]\n  21 -> 27 [size =\"36291584\"]\n  22 [size=\"72296960\", alpha=\"0.17\", expect_size=\"28918784\"] \n  22 -> 23 [size =\"28918784\"]\n  22 -> 26 [size =\"28918784\"]\n  23 [size=\"38295040\", alpha=\"0.11\", expect_size=\"15318016\"] \n  23 -> 31 [size =\"15318016\"]\n  23 -> 32 [size =\"15318016\"]\n  23 -> 33 [size =\"15318016\"]\n  24 [size=\"109171200\", alpha=\"0.12\", expect_size=\"43668480\"] \n  24 -> 30 [size =\"43668480\"]\n  24 -> 34 [size =\"43668480\"]\n  25 [size=\"33446400\", alpha=\"0.13\", expect_size=\"13378560\"] \n  25 -> 31 [size =\"13378560\"]\n  26 [size=\"90775040\", alpha=\"0.07\", expect_size=\"36310016\"] \n  26 -> 29 [size =\"36310016\"]\n  26 -> 33 [size =\"36310016\"]\n  26 -> 34 [size =\"36310016\"]\n  27 [size=\"100318720\", alpha=\"0.12\", expect_size=\"40127488\"] \n  27 -> 29 [size =\"40127488\"]\n  27 -> 30 [size =\"40127488\"]\n  27 -> 31 [size =\"40127488\"]\n  27 -> 34 [size =\"40127488\"]\n  28 [size=\"58508800\", alpha=\"0.00\", expect_size=\"23403520\"] \n  28 -> 29 [size =\"23403520\"]\n  28 -> 30 [size =\"23403520\"]\n  28 -> 31 [size =\"23403520\"]\n  29 [size=\"36462080\", alpha=\"0.06\", expect_size=\"14584832\"] \n  29 -> 35 [size =\"14584832\"]\n  30 [size=\"47221760\", alpha=\"0.18\", expect_size=\"18888704\"] \n  31 [size=\"56320000\", alpha=\"0.09\", expect_size=\"22528000\"] \n  31 -> 35 [size =\"22528000\"]\n  32 [size=\"54689280\", alpha=\"0.03\", expect_size=\"21875712\"] \n  33 [size=\"38059520\", alpha=\"0.06\", expect_size=\"15223808\"] \n  33 -> 35 [size =\"15223808\"]\n  34 [size=\"102476800\", alpha=\"0.01\", expect_size=\"40990720\"] \n  34 -> 35 [size =\"40990720\"]\n  35 [size=\"54932480\", alpha=\"0.10\", expect_size=\"21972992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14430208\", alpha=\"0.09\", expect_size=\"7215104\"] \n  1 -> 2 [size =\"7215104\"]\n  1 -> 3 [size =\"7215104\"]\n  2 [size=\"82268160\", alpha=\"0.15\", expect_size=\"41134080\"] \n  3 [size=\"46942208\", alpha=\"0.16\", expect_size=\"23471104\"] \n  3 -> 4 [size =\"23471104\"]\n  4 [size=\"68513792\", alpha=\"0.17\", expect_size=\"34256896\"] \n  4 -> 5 [size =\"34256896\"]\n  5 [size=\"53428224\", alpha=\"0.06\", expect_size=\"26714112\"] \n  5 -> 6 [size =\"26714112\"]\n  6 [size=\"19628032\", alpha=\"0.20\", expect_size=\"9814016\"] \n  6 -> 7 [size =\"9814016\"]\n  7 [size=\"56752128\", alpha=\"0.16\", expect_size=\"28376064\"] \n  7 -> 8 [size =\"28376064\"]\n  8 [size=\"20846592\", alpha=\"0.19\", expect_size=\"10423296\"] \n  8 -> 9 [size =\"10423296\"]\n  8 -> 10 [size =\"10423296\"]\n  9 [size=\"54272000\", alpha=\"0.04\", expect_size=\"27136000\"] \n  9 -> 11 [size =\"27136000\"]\n  10 [size=\"78241792\", alpha=\"0.05\", expect_size=\"39120896\"] \n  11 [size=\"96933888\", alpha=\"0.05\", expect_size=\"48466944\"] \n  11 -> 12 [size =\"48466944\"]\n  12 [size=\"46841856\", alpha=\"0.03\", expect_size=\"23420928\"] \n  12 -> 13 [size =\"23420928\"]\n  12 -> 14 [size =\"23420928\"]\n  13 [size=\"23506944\", alpha=\"0.06\", expect_size=\"11753472\"] \n  13 -> 16 [size =\"11753472\"]\n  14 [size=\"97527808\", alpha=\"0.12\", expect_size=\"48763904\"] \n  14 -> 15 [size =\"48763904\"]\n  15 [size=\"85698560\", alpha=\"0.18\", expect_size=\"42849280\"] \n  15 -> 17 [size =\"42849280\"]\n  15 -> 18 [size =\"42849280\"]\n  16 [size=\"20123648\", alpha=\"0.01\", expect_size=\"10061824\"] \n  17 [size=\"18356224\", alpha=\"0.20\", expect_size=\"9178112\"] \n  18 [size=\"93507584\", alpha=\"0.16\", expect_size=\"46753792\"] \n  18 -> 19 [size =\"46753792\"]\n  19 [size=\"88633344\", alpha=\"0.16\", expect_size=\"44316672\"] \n  19 -> 20 [size =\"44316672\"]\n  19 -> 21 [size =\"44316672\"]\n  20 [size=\"12675072\", alpha=\"0.04\", expect_size=\"6337536\"] \n  20 -> 23 [size =\"6337536\"]\n  21 [size=\"37396480\", alpha=\"0.12\", expect_size=\"18698240\"] \n  21 -> 22 [size =\"18698240\"]\n  22 [size=\"59414528\", alpha=\"0.16\", expect_size=\"29707264\"] \n  23 [size=\"73764864\", alpha=\"0.08\", expect_size=\"36882432\"] \n  23 -> 24 [size =\"36882432\"]\n  23 -> 25 [size =\"36882432\"]\n  24 [size=\"101218304\", alpha=\"0.11\", expect_size=\"50609152\"] \n  24 -> 26 [size =\"50609152\"]\n  24 -> 27 [size =\"50609152\"]\n  25 [size=\"61986816\", alpha=\"0.04\", expect_size=\"30993408\"] \n  26 [size=\"54245376\", alpha=\"0.19\", expect_size=\"27122688\"] \n  26 -> 28 [size =\"27122688\"]\n  27 [size=\"58644480\", alpha=\"0.03\", expect_size=\"29322240\"] \n  28 [size=\"56907776\", alpha=\"0.10\", expect_size=\"28453888\"] \n  28 -> 29 [size =\"28453888\"]\n  29 [size=\"39880704\", alpha=\"0.06\", expect_size=\"19940352\"] \n  29 -> 30 [size =\"19940352\"]\n  30 [size=\"22337536\", alpha=\"0.17\", expect_size=\"11168768\"] \n  30 -> 31 [size =\"11168768\"]\n  31 [size=\"40935424\", alpha=\"0.05\", expect_size=\"20467712\"] \n  31 -> 32 [size =\"20467712\"]\n  32 [size=\"99618816\", alpha=\"0.02\", expect_size=\"49809408\"] \n  32 -> 33 [size =\"49809408\"]\n  33 [size=\"81426432\", alpha=\"0.01\", expect_size=\"40713216\"] \n  33 -> 34 [size =\"40713216\"]\n  34 [size=\"22816768\", alpha=\"0.19\", expect_size=\"11408384\"] \n  34 -> 35 [size =\"11408384\"]\n  35 [size=\"76191744\", alpha=\"0.12\", expect_size=\"38095872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24438784\", alpha=\"0.03\", expect_size=\"12219392\"] \n  1 -> 5 [size =\"12219392\"]\n  1 -> 7 [size =\"12219392\"]\n  1 -> 8 [size =\"12219392\"]\n  2 [size=\"68483072\", alpha=\"0.10\", expect_size=\"34241536\"] \n  2 -> 5 [size =\"34241536\"]\n  2 -> 6 [size =\"34241536\"]\n  2 -> 8 [size =\"34241536\"]\n  3 [size=\"37326848\", alpha=\"0.10\", expect_size=\"18663424\"] \n  3 -> 7 [size =\"18663424\"]\n  3 -> 8 [size =\"18663424\"]\n  4 [size=\"50620416\", alpha=\"0.03\", expect_size=\"25310208\"] \n  4 -> 5 [size =\"25310208\"]\n  4 -> 7 [size =\"25310208\"]\n  4 -> 8 [size =\"25310208\"]\n  5 [size=\"38207488\", alpha=\"0.03\", expect_size=\"19103744\"] \n  5 -> 13 [size =\"19103744\"]\n  6 [size=\"69146624\", alpha=\"0.13\", expect_size=\"34573312\"] \n  6 -> 9 [size =\"34573312\"]\n  6 -> 10 [size =\"34573312\"]\n  6 -> 11 [size =\"34573312\"]\n  6 -> 12 [size =\"34573312\"]\n  6 -> 13 [size =\"34573312\"]\n  7 [size=\"52996096\", alpha=\"0.03\", expect_size=\"26498048\"] \n  7 -> 9 [size =\"26498048\"]\n  7 -> 10 [size =\"26498048\"]\n  7 -> 11 [size =\"26498048\"]\n  7 -> 12 [size =\"26498048\"]\n  8 [size=\"93089792\", alpha=\"0.13\", expect_size=\"46544896\"] \n  8 -> 10 [size =\"46544896\"]\n  8 -> 13 [size =\"46544896\"]\n  9 [size=\"41123840\", alpha=\"0.06\", expect_size=\"20561920\"] \n  9 -> 14 [size =\"20561920\"]\n  9 -> 15 [size =\"20561920\"]\n  9 -> 16 [size =\"20561920\"]\n  10 [size=\"49973248\", alpha=\"0.03\", expect_size=\"24986624\"] \n  10 -> 16 [size =\"24986624\"]\n  10 -> 17 [size =\"24986624\"]\n  11 [size=\"43071488\", alpha=\"0.04\", expect_size=\"21535744\"] \n  11 -> 15 [size =\"21535744\"]\n  11 -> 16 [size =\"21535744\"]\n  12 [size=\"57882624\", alpha=\"0.14\", expect_size=\"28941312\"] \n  12 -> 15 [size =\"28941312\"]\n  12 -> 16 [size =\"28941312\"]\n  12 -> 18 [size =\"28941312\"]\n  13 [size=\"104366080\", alpha=\"0.19\", expect_size=\"52183040\"] \n  13 -> 16 [size =\"52183040\"]\n  14 [size=\"55078912\", alpha=\"0.09\", expect_size=\"27539456\"] \n  14 -> 20 [size =\"27539456\"]\n  14 -> 21 [size =\"27539456\"]\n  15 [size=\"71327744\", alpha=\"0.16\", expect_size=\"35663872\"] \n  15 -> 20 [size =\"35663872\"]\n  15 -> 21 [size =\"35663872\"]\n  16 [size=\"85776384\", alpha=\"0.17\", expect_size=\"42888192\"] \n  16 -> 20 [size =\"42888192\"]\n  16 -> 21 [size =\"42888192\"]\n  17 [size=\"52678656\", alpha=\"0.04\", expect_size=\"26339328\"] \n  17 -> 19 [size =\"26339328\"]\n  17 -> 20 [size =\"26339328\"]\n  17 -> 21 [size =\"26339328\"]\n  18 [size=\"66437120\", alpha=\"0.17\", expect_size=\"33218560\"] \n  18 -> 19 [size =\"33218560\"]\n  18 -> 20 [size =\"33218560\"]\n  18 -> 21 [size =\"33218560\"]\n  19 [size=\"32915456\", alpha=\"0.06\", expect_size=\"16457728\"] \n  19 -> 24 [size =\"16457728\"]\n  19 -> 25 [size =\"16457728\"]\n  19 -> 26 [size =\"16457728\"]\n  20 [size=\"62650368\", alpha=\"0.07\", expect_size=\"31325184\"] \n  20 -> 22 [size =\"31325184\"]\n  20 -> 23 [size =\"31325184\"]\n  20 -> 24 [size =\"31325184\"]\n  20 -> 25 [size =\"31325184\"]\n  20 -> 26 [size =\"31325184\"]\n  21 [size=\"74502144\", alpha=\"0.11\", expect_size=\"37251072\"] \n  21 -> 22 [size =\"37251072\"]\n  21 -> 23 [size =\"37251072\"]\n  21 -> 24 [size =\"37251072\"]\n  21 -> 25 [size =\"37251072\"]\n  21 -> 26 [size =\"37251072\"]\n  22 [size=\"95569920\", alpha=\"0.08\", expect_size=\"47784960\"] \n  22 -> 27 [size =\"47784960\"]\n  22 -> 29 [size =\"47784960\"]\n  22 -> 31 [size =\"47784960\"]\n  23 [size=\"67194880\", alpha=\"0.10\", expect_size=\"33597440\"] \n  23 -> 27 [size =\"33597440\"]\n  23 -> 30 [size =\"33597440\"]\n  23 -> 31 [size =\"33597440\"]\n  24 [size=\"60633088\", alpha=\"0.00\", expect_size=\"30316544\"] \n  24 -> 31 [size =\"30316544\"]\n  25 [size=\"104525824\", alpha=\"0.17\", expect_size=\"52262912\"] \n  25 -> 27 [size =\"52262912\"]\n  25 -> 28 [size =\"52262912\"]\n  26 [size=\"87128064\", alpha=\"0.06\", expect_size=\"43564032\"] \n  26 -> 27 [size =\"43564032\"]\n  26 -> 29 [size =\"43564032\"]\n  26 -> 31 [size =\"43564032\"]\n  27 [size=\"71643136\", alpha=\"0.04\", expect_size=\"35821568\"] \n  27 -> 32 [size =\"35821568\"]\n  27 -> 34 [size =\"35821568\"]\n  28 [size=\"89681920\", alpha=\"0.19\", expect_size=\"44840960\"] \n  28 -> 33 [size =\"44840960\"]\n  28 -> 35 [size =\"44840960\"]\n  29 [size=\"73926656\", alpha=\"0.01\", expect_size=\"36963328\"] \n  29 -> 32 [size =\"36963328\"]\n  29 -> 33 [size =\"36963328\"]\n  29 -> 35 [size =\"36963328\"]\n  30 [size=\"102055936\", alpha=\"0.11\", expect_size=\"51027968\"] \n  30 -> 32 [size =\"51027968\"]\n  30 -> 33 [size =\"51027968\"]\n  30 -> 35 [size =\"51027968\"]\n  31 [size=\"41326592\", alpha=\"0.09\", expect_size=\"20663296\"] \n  31 -> 32 [size =\"20663296\"]\n  31 -> 33 [size =\"20663296\"]\n  31 -> 34 [size =\"20663296\"]\n  31 -> 35 [size =\"20663296\"]\n  32 [size=\"94433280\", alpha=\"0.16\", expect_size=\"47216640\"] \n  33 [size=\"36257792\", alpha=\"0.03\", expect_size=\"18128896\"] \n  34 [size=\"82386944\", alpha=\"0.20\", expect_size=\"41193472\"] \n  35 [size=\"84209664\", alpha=\"0.09\", expect_size=\"42104832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136526507\", alpha=\"0.13\", expect_size=\"40957952\"] \n  1 -> 9 [size =\"40957952\"]\n  2 [size=\"164689920\", alpha=\"0.02\", expect_size=\"49406976\"] \n  2 -> 6 [size =\"49406976\"]\n  3 [size=\"137741653\", alpha=\"0.07\", expect_size=\"41322496\"] \n  3 -> 9 [size =\"41322496\"]\n  3 -> 10 [size =\"41322496\"]\n  4 [size=\"166912000\", alpha=\"0.20\", expect_size=\"50073600\"] \n  4 -> 6 [size =\"50073600\"]\n  4 -> 7 [size =\"50073600\"]\n  4 -> 8 [size =\"50073600\"]\n  4 -> 9 [size =\"50073600\"]\n  4 -> 10 [size =\"50073600\"]\n  5 [size=\"164355413\", alpha=\"0.11\", expect_size=\"49306624\"] \n  5 -> 6 [size =\"49306624\"]\n  5 -> 7 [size =\"49306624\"]\n  6 [size=\"152439467\", alpha=\"0.12\", expect_size=\"45731840\"] \n  7 [size=\"153186987\", alpha=\"0.16\", expect_size=\"45956096\"] \n  8 [size=\"95197867\", alpha=\"0.11\", expect_size=\"28559360\"] \n  8 -> 11 [size =\"28559360\"]\n  8 -> 14 [size =\"28559360\"]\n  9 [size=\"59566080\", alpha=\"0.07\", expect_size=\"17869824\"] \n  10 [size=\"53172907\", alpha=\"0.08\", expect_size=\"15951872\"] \n  10 -> 12 [size =\"15951872\"]\n  10 -> 13 [size =\"15951872\"]\n  11 [size=\"134014293\", alpha=\"0.03\", expect_size=\"40204288\"] \n  11 -> 15 [size =\"40204288\"]\n  11 -> 19 [size =\"40204288\"]\n  12 [size=\"82486613\", alpha=\"0.08\", expect_size=\"24745984\"] \n  12 -> 15 [size =\"24745984\"]\n  12 -> 17 [size =\"24745984\"]\n  12 -> 18 [size =\"24745984\"]\n  13 [size=\"96952320\", alpha=\"0.01\", expect_size=\"29085696\"] \n  13 -> 16 [size =\"29085696\"]\n  13 -> 18 [size =\"29085696\"]\n  13 -> 19 [size =\"29085696\"]\n  14 [size=\"149818027\", alpha=\"0.20\", expect_size=\"44945408\"] \n  14 -> 16 [size =\"44945408\"]\n  14 -> 18 [size =\"44945408\"]\n  15 [size=\"148282027\", alpha=\"0.09\", expect_size=\"44484608\"] \n  15 -> 20 [size =\"44484608\"]\n  15 -> 23 [size =\"44484608\"]\n  15 -> 24 [size =\"44484608\"]\n  16 [size=\"77847893\", alpha=\"0.08\", expect_size=\"23354368\"] \n  16 -> 20 [size =\"23354368\"]\n  16 -> 21 [size =\"23354368\"]\n  16 -> 23 [size =\"23354368\"]\n  17 [size=\"172267520\", alpha=\"0.03\", expect_size=\"51680256\"] \n  17 -> 22 [size =\"51680256\"]\n  17 -> 25 [size =\"51680256\"]\n  18 [size=\"144278187\", alpha=\"0.00\", expect_size=\"43283456\"] \n  18 -> 21 [size =\"43283456\"]\n  18 -> 23 [size =\"43283456\"]\n  18 -> 24 [size =\"43283456\"]\n  19 [size=\"71355733\", alpha=\"0.06\", expect_size=\"21406720\"] \n  19 -> 20 [size =\"21406720\"]\n  19 -> 21 [size =\"21406720\"]\n  19 -> 24 [size =\"21406720\"]\n  20 [size=\"125651627\", alpha=\"0.03\", expect_size=\"37695488\"] \n  20 -> 27 [size =\"37695488\"]\n  21 [size=\"27487573\", alpha=\"0.15\", expect_size=\"8246272\"] \n  22 [size=\"49623040\", alpha=\"0.05\", expect_size=\"14886912\"] \n  23 [size=\"115213653\", alpha=\"0.11\", expect_size=\"34564096\"] \n  23 -> 26 [size =\"34564096\"]\n  23 -> 28 [size =\"34564096\"]\n  24 [size=\"125368320\", alpha=\"0.16\", expect_size=\"37610496\"] \n  24 -> 28 [size =\"37610496\"]\n  25 [size=\"122610347\", alpha=\"0.19\", expect_size=\"36783104\"] \n  25 -> 27 [size =\"36783104\"]\n  25 -> 28 [size =\"36783104\"]\n  25 -> 29 [size =\"36783104\"]\n  25 -> 30 [size =\"36783104\"]\n  26 [size=\"34184533\", alpha=\"0.19\", expect_size=\"10255360\"] \n  26 -> 31 [size =\"10255360\"]\n  27 [size=\"99157333\", alpha=\"0.17\", expect_size=\"29747200\"] \n  27 -> 32 [size =\"29747200\"]\n  28 [size=\"123429547\", alpha=\"0.05\", expect_size=\"37028864\"] \n  28 -> 33 [size =\"37028864\"]\n  29 [size=\"126952107\", alpha=\"0.18\", expect_size=\"38085632\"] \n  30 [size=\"19619840\", alpha=\"0.16\", expect_size=\"5885952\"] \n  30 -> 33 [size =\"5885952\"]\n  31 [size=\"42629120\", alpha=\"0.08\", expect_size=\"12788736\"] \n  32 [size=\"157750613\", alpha=\"0.09\", expect_size=\"47325184\"] \n  32 -> 34 [size =\"47325184\"]\n  32 -> 35 [size =\"47325184\"]\n  33 [size=\"40331947\", alpha=\"0.20\", expect_size=\"12099584\"] \n  34 [size=\"125214720\", alpha=\"0.07\", expect_size=\"37564416\"] \n  35 [size=\"89982293\", alpha=\"0.11\", expect_size=\"26994688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53196800\", alpha=\"0.20\", expect_size=\"26598400\"] \n  1 -> 23 [size =\"26598400\"]\n  2 [size=\"34719744\", alpha=\"0.17\", expect_size=\"17359872\"] \n  2 -> 23 [size =\"17359872\"]\n  3 [size=\"99098624\", alpha=\"0.15\", expect_size=\"49549312\"] \n  3 -> 21 [size =\"49549312\"]\n  3 -> 22 [size =\"49549312\"]\n  4 [size=\"18458624\", alpha=\"0.15\", expect_size=\"9229312\"] \n  4 -> 19 [size =\"9229312\"]\n  4 -> 21 [size =\"9229312\"]\n  4 -> 22 [size =\"9229312\"]\n  4 -> 24 [size =\"9229312\"]\n  5 [size=\"64608256\", alpha=\"0.10\", expect_size=\"32304128\"] \n  5 -> 18 [size =\"32304128\"]\n  5 -> 21 [size =\"32304128\"]\n  5 -> 24 [size =\"32304128\"]\n  6 [size=\"39962624\", alpha=\"0.02\", expect_size=\"19981312\"] \n  6 -> 18 [size =\"19981312\"]\n  7 [size=\"64606208\", alpha=\"0.12\", expect_size=\"32303104\"] \n  7 -> 20 [size =\"32303104\"]\n  7 -> 21 [size =\"32303104\"]\n  7 -> 23 [size =\"32303104\"]\n  8 [size=\"99772416\", alpha=\"0.16\", expect_size=\"49886208\"] \n  8 -> 20 [size =\"49886208\"]\n  8 -> 24 [size =\"49886208\"]\n  9 [size=\"24299520\", alpha=\"0.03\", expect_size=\"12149760\"] \n  9 -> 18 [size =\"12149760\"]\n  9 -> 24 [size =\"12149760\"]\n  10 [size=\"68734976\", alpha=\"0.05\", expect_size=\"34367488\"] \n  10 -> 18 [size =\"34367488\"]\n  10 -> 19 [size =\"34367488\"]\n  10 -> 21 [size =\"34367488\"]\n  10 -> 22 [size =\"34367488\"]\n  11 [size=\"24958976\", alpha=\"0.12\", expect_size=\"12479488\"] \n  11 -> 20 [size =\"12479488\"]\n  11 -> 22 [size =\"12479488\"]\n  11 -> 24 [size =\"12479488\"]\n  12 [size=\"23040000\", alpha=\"0.14\", expect_size=\"11520000\"] \n  12 -> 18 [size =\"11520000\"]\n  12 -> 19 [size =\"11520000\"]\n  12 -> 20 [size =\"11520000\"]\n  12 -> 23 [size =\"11520000\"]\n  12 -> 24 [size =\"11520000\"]\n  13 [size=\"11102208\", alpha=\"0.08\", expect_size=\"5551104\"] \n  13 -> 21 [size =\"5551104\"]\n  14 [size=\"83460096\", alpha=\"0.12\", expect_size=\"41730048\"] \n  14 -> 20 [size =\"41730048\"]\n  14 -> 21 [size =\"41730048\"]\n  14 -> 23 [size =\"41730048\"]\n  14 -> 24 [size =\"41730048\"]\n  15 [size=\"60473344\", alpha=\"0.06\", expect_size=\"30236672\"] \n  15 -> 20 [size =\"30236672\"]\n  15 -> 21 [size =\"30236672\"]\n  15 -> 23 [size =\"30236672\"]\n  16 [size=\"12267520\", alpha=\"0.03\", expect_size=\"6133760\"] \n  16 -> 19 [size =\"6133760\"]\n  16 -> 20 [size =\"6133760\"]\n  16 -> 21 [size =\"6133760\"]\n  16 -> 22 [size =\"6133760\"]\n  16 -> 23 [size =\"6133760\"]\n  17 [size=\"20903936\", alpha=\"0.12\", expect_size=\"10451968\"] \n  17 -> 20 [size =\"10451968\"]\n  17 -> 21 [size =\"10451968\"]\n  17 -> 23 [size =\"10451968\"]\n  17 -> 24 [size =\"10451968\"]\n  18 [size=\"79050752\", alpha=\"0.04\", expect_size=\"39525376\"] \n  18 -> 26 [size =\"39525376\"]\n  18 -> 29 [size =\"39525376\"]\n  18 -> 30 [size =\"39525376\"]\n  18 -> 31 [size =\"39525376\"]\n  18 -> 32 [size =\"39525376\"]\n  18 -> 33 [size =\"39525376\"]\n  19 [size=\"60329984\", alpha=\"0.04\", expect_size=\"30164992\"] \n  19 -> 26 [size =\"30164992\"]\n  19 -> 28 [size =\"30164992\"]\n  19 -> 29 [size =\"30164992\"]\n  19 -> 32 [size =\"30164992\"]\n  19 -> 33 [size =\"30164992\"]\n  19 -> 34 [size =\"30164992\"]\n  20 [size=\"74031104\", alpha=\"0.03\", expect_size=\"37015552\"] \n  20 -> 25 [size =\"37015552\"]\n  20 -> 29 [size =\"37015552\"]\n  20 -> 33 [size =\"37015552\"]\n  21 [size=\"97589248\", alpha=\"0.12\", expect_size=\"48794624\"] \n  21 -> 25 [size =\"48794624\"]\n  21 -> 27 [size =\"48794624\"]\n  21 -> 28 [size =\"48794624\"]\n  21 -> 31 [size =\"48794624\"]\n  21 -> 32 [size =\"48794624\"]\n  21 -> 35 [size =\"48794624\"]\n  22 [size=\"58218496\", alpha=\"0.05\", expect_size=\"29109248\"] \n  22 -> 27 [size =\"29109248\"]\n  22 -> 27 [size =\"29109248\"]\n  22 -> 28 [size =\"29109248\"]\n  22 -> 31 [size =\"29109248\"]\n  22 -> 35 [size =\"29109248\"]\n  22 -> 35 [size =\"29109248\"]\n  23 [size=\"29302784\", alpha=\"0.17\", expect_size=\"14651392\"] \n  23 -> 26 [size =\"14651392\"]\n  23 -> 33 [size =\"14651392\"]\n  23 -> 35 [size =\"14651392\"]\n  24 [size=\"66377728\", alpha=\"0.11\", expect_size=\"33188864\"] \n  24 -> 26 [size =\"33188864\"]\n  24 -> 28 [size =\"33188864\"]\n  24 -> 32 [size =\"33188864\"]\n  25 [size=\"28409856\", alpha=\"0.17\", expect_size=\"14204928\"] \n  26 [size=\"57462784\", alpha=\"0.08\", expect_size=\"28731392\"] \n  27 [size=\"70150144\", alpha=\"0.11\", expect_size=\"35075072\"] \n  28 [size=\"33058816\", alpha=\"0.13\", expect_size=\"16529408\"] \n  29 [size=\"50323456\", alpha=\"0.18\", expect_size=\"25161728\"] \n  30 [size=\"70121472\", alpha=\"0.15\", expect_size=\"35060736\"] \n  31 [size=\"86239232\", alpha=\"0.16\", expect_size=\"43119616\"] \n  32 [size=\"47011840\", alpha=\"0.19\", expect_size=\"23505920\"] \n  33 [size=\"71047168\", alpha=\"0.02\", expect_size=\"35523584\"] \n  34 [size=\"58216448\", alpha=\"0.00\", expect_size=\"29108224\"] \n  35 [size=\"16490496\", alpha=\"0.10\", expect_size=\"8245248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88453120\", alpha=\"0.04\", expect_size=\"35381248\"] \n  1 -> 27 [size =\"35381248\"]\n  1 -> 31 [size =\"35381248\"]\n  1 -> 32 [size =\"35381248\"]\n  2 [size=\"62428160\", alpha=\"0.04\", expect_size=\"24971264\"] \n  2 -> 25 [size =\"24971264\"]\n  2 -> 26 [size =\"24971264\"]\n  2 -> 27 [size =\"24971264\"]\n  2 -> 29 [size =\"24971264\"]\n  3 [size=\"69818880\", alpha=\"0.04\", expect_size=\"27927552\"] \n  3 -> 27 [size =\"27927552\"]\n  3 -> 29 [size =\"27927552\"]\n  3 -> 32 [size =\"27927552\"]\n  3 -> 34 [size =\"27927552\"]\n  4 [size=\"82252800\", alpha=\"0.06\", expect_size=\"32901120\"] \n  4 -> 25 [size =\"32901120\"]\n  4 -> 27 [size =\"32901120\"]\n  4 -> 29 [size =\"32901120\"]\n  4 -> 30 [size =\"32901120\"]\n  4 -> 34 [size =\"32901120\"]\n  5 [size=\"99765760\", alpha=\"0.01\", expect_size=\"39906304\"] \n  5 -> 24 [size =\"39906304\"]\n  5 -> 25 [size =\"39906304\"]\n  5 -> 27 [size =\"39906304\"]\n  5 -> 29 [size =\"39906304\"]\n  5 -> 30 [size =\"39906304\"]\n  5 -> 31 [size =\"39906304\"]\n  5 -> 32 [size =\"39906304\"]\n  6 [size=\"73495040\", alpha=\"0.13\", expect_size=\"29398016\"] \n  6 -> 24 [size =\"29398016\"]\n  6 -> 25 [size =\"29398016\"]\n  6 -> 29 [size =\"29398016\"]\n  6 -> 29 [size =\"29398016\"]\n  6 -> 31 [size =\"29398016\"]\n  6 -> 34 [size =\"29398016\"]\n  7 [size=\"99169280\", alpha=\"0.18\", expect_size=\"39667712\"] \n  7 -> 24 [size =\"39667712\"]\n  7 -> 26 [size =\"39667712\"]\n  7 -> 27 [size =\"39667712\"]\n  7 -> 28 [size =\"39667712\"]\n  7 -> 29 [size =\"39667712\"]\n  7 -> 30 [size =\"39667712\"]\n  7 -> 32 [size =\"39667712\"]\n  8 [size=\"54487040\", alpha=\"0.11\", expect_size=\"21794816\"] \n  8 -> 26 [size =\"21794816\"]\n  8 -> 27 [size =\"21794816\"]\n  8 -> 28 [size =\"21794816\"]\n  8 -> 29 [size =\"21794816\"]\n  8 -> 31 [size =\"21794816\"]\n  8 -> 32 [size =\"21794816\"]\n  8 -> 33 [size =\"21794816\"]\n  8 -> 35 [size =\"21794816\"]\n  9 [size=\"97157120\", alpha=\"0.04\", expect_size=\"38862848\"] \n  9 -> 26 [size =\"38862848\"]\n  9 -> 29 [size =\"38862848\"]\n  9 -> 30 [size =\"38862848\"]\n  9 -> 31 [size =\"38862848\"]\n  9 -> 34 [size =\"38862848\"]\n  10 [size=\"103121920\", alpha=\"0.07\", expect_size=\"41248768\"] \n  10 -> 23 [size =\"41248768\"]\n  10 -> 24 [size =\"41248768\"]\n  10 -> 26 [size =\"41248768\"]\n  10 -> 27 [size =\"41248768\"]\n  10 -> 28 [size =\"41248768\"]\n  10 -> 30 [size =\"41248768\"]\n  10 -> 31 [size =\"41248768\"]\n  10 -> 32 [size =\"41248768\"]\n  11 [size=\"35804160\", alpha=\"0.19\", expect_size=\"14321664\"] \n  11 -> 23 [size =\"14321664\"]\n  11 -> 24 [size =\"14321664\"]\n  11 -> 26 [size =\"14321664\"]\n  11 -> 27 [size =\"14321664\"]\n  11 -> 29 [size =\"14321664\"]\n  11 -> 30 [size =\"14321664\"]\n  11 -> 31 [size =\"14321664\"]\n  11 -> 32 [size =\"14321664\"]\n  11 -> 33 [size =\"14321664\"]\n  11 -> 34 [size =\"14321664\"]\n  12 [size=\"59376640\", alpha=\"0.19\", expect_size=\"23750656\"] \n  12 -> 25 [size =\"23750656\"]\n  12 -> 28 [size =\"23750656\"]\n  12 -> 30 [size =\"23750656\"]\n  12 -> 32 [size =\"23750656\"]\n  12 -> 34 [size =\"23750656\"]\n  13 [size=\"82887680\", alpha=\"0.11\", expect_size=\"33155072\"] \n  13 -> 24 [size =\"33155072\"]\n  13 -> 28 [size =\"33155072\"]\n  13 -> 29 [size =\"33155072\"]\n  13 -> 30 [size =\"33155072\"]\n  13 -> 32 [size =\"33155072\"]\n  13 -> 33 [size =\"33155072\"]\n  13 -> 34 [size =\"33155072\"]\n  14 [size=\"108426240\", alpha=\"0.08\", expect_size=\"43370496\"] \n  14 -> 24 [size =\"43370496\"]\n  14 -> 26 [size =\"43370496\"]\n  14 -> 30 [size =\"43370496\"]\n  14 -> 31 [size =\"43370496\"]\n  15 [size=\"26611200\", alpha=\"0.18\", expect_size=\"10644480\"] \n  15 -> 24 [size =\"10644480\"]\n  15 -> 26 [size =\"10644480\"]\n  15 -> 28 [size =\"10644480\"]\n  15 -> 29 [size =\"10644480\"]\n  15 -> 31 [size =\"10644480\"]\n  15 -> 32 [size =\"10644480\"]\n  15 -> 33 [size =\"10644480\"]\n  16 [size=\"35015680\", alpha=\"0.12\", expect_size=\"14006272\"] \n  16 -> 24 [size =\"14006272\"]\n  16 -> 25 [size =\"14006272\"]\n  16 -> 26 [size =\"14006272\"]\n  16 -> 29 [size =\"14006272\"]\n  16 -> 31 [size =\"14006272\"]\n  17 [size=\"111431680\", alpha=\"0.16\", expect_size=\"44572672\"] \n  17 -> 27 [size =\"44572672\"]\n  17 -> 31 [size =\"44572672\"]\n  17 -> 34 [size =\"44572672\"]\n  18 [size=\"96721920\", alpha=\"0.03\", expect_size=\"38688768\"] \n  18 -> 23 [size =\"38688768\"]\n  18 -> 33 [size =\"38688768\"]\n  19 [size=\"41420800\", alpha=\"0.04\", expect_size=\"16568320\"] \n  19 -> 23 [size =\"16568320\"]\n  19 -> 26 [size =\"16568320\"]\n  19 -> 28 [size =\"16568320\"]\n  19 -> 32 [size =\"16568320\"]\n  19 -> 33 [size =\"16568320\"]\n  20 [size=\"65932800\", alpha=\"0.11\", expect_size=\"26373120\"] \n  20 -> 23 [size =\"26373120\"]\n  20 -> 26 [size =\"26373120\"]\n  20 -> 27 [size =\"26373120\"]\n  20 -> 28 [size =\"26373120\"]\n  20 -> 30 [size =\"26373120\"]\n  20 -> 31 [size =\"26373120\"]\n  20 -> 32 [size =\"26373120\"]\n  21 [size=\"108119040\", alpha=\"0.10\", expect_size=\"43247616\"] \n  21 -> 23 [size =\"43247616\"]\n  21 -> 24 [size =\"43247616\"]\n  21 -> 25 [size =\"43247616\"]\n  21 -> 26 [size =\"43247616\"]\n  21 -> 28 [size =\"43247616\"]\n  21 -> 30 [size =\"43247616\"]\n  22 [size=\"102113280\", alpha=\"0.18\", expect_size=\"40845312\"] \n  22 -> 24 [size =\"40845312\"]\n  22 -> 24 [size =\"40845312\"]\n  22 -> 25 [size =\"40845312\"]\n  22 -> 26 [size =\"40845312\"]\n  22 -> 27 [size =\"40845312\"]\n  23 [size=\"93399040\", alpha=\"0.16\", expect_size=\"37359616\"] \n  24 [size=\"38208000\", alpha=\"0.05\", expect_size=\"15283200\"] \n  25 [size=\"87316480\", alpha=\"0.09\", expect_size=\"34926592\"] \n  26 [size=\"76142080\", alpha=\"0.03\", expect_size=\"30456832\"] \n  27 [size=\"28874240\", alpha=\"0.12\", expect_size=\"11549696\"] \n  28 [size=\"120332800\", alpha=\"0.08\", expect_size=\"48133120\"] \n  29 [size=\"22801920\", alpha=\"0.18\", expect_size=\"9120768\"] \n  30 [size=\"46558720\", alpha=\"0.03\", expect_size=\"18623488\"] \n  31 [size=\"110172160\", alpha=\"0.12\", expect_size=\"44068864\"] \n  32 [size=\"53061120\", alpha=\"0.09\", expect_size=\"21224448\"] \n  33 [size=\"42511360\", alpha=\"0.18\", expect_size=\"17004544\"] \n  34 [size=\"17274880\", alpha=\"0.03\", expect_size=\"6909952\"] \n  35 [size=\"46497280\", alpha=\"0.10\", expect_size=\"18598912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55859200\", alpha=\"0.11\", expect_size=\"16757760\"] \n  1 -> 28 [size =\"16757760\"]\n  1 -> 29 [size =\"16757760\"]\n  1 -> 31 [size =\"16757760\"]\n  1 -> 32 [size =\"16757760\"]\n  2 [size=\"74038613\", alpha=\"0.06\", expect_size=\"22211584\"] \n  2 -> 24 [size =\"22211584\"]\n  2 -> 29 [size =\"22211584\"]\n  2 -> 31 [size =\"22211584\"]\n  3 [size=\"31853227\", alpha=\"0.05\", expect_size=\"9555968\"] \n  3 -> 27 [size =\"9555968\"]\n  3 -> 29 [size =\"9555968\"]\n  4 [size=\"81858560\", alpha=\"0.18\", expect_size=\"24557568\"] \n  4 -> 23 [size =\"24557568\"]\n  4 -> 29 [size =\"24557568\"]\n  4 -> 31 [size =\"24557568\"]\n  4 -> 32 [size =\"24557568\"]\n  5 [size=\"130228907\", alpha=\"0.19\", expect_size=\"39068672\"] \n  5 -> 23 [size =\"39068672\"]\n  5 -> 34 [size =\"39068672\"]\n  6 [size=\"23620267\", alpha=\"0.19\", expect_size=\"7086080\"] \n  6 -> 23 [size =\"7086080\"]\n  6 -> 29 [size =\"7086080\"]\n  6 -> 32 [size =\"7086080\"]\n  6 -> 34 [size =\"7086080\"]\n  7 [size=\"154688853\", alpha=\"0.16\", expect_size=\"46406656\"] \n  7 -> 23 [size =\"46406656\"]\n  8 [size=\"110342827\", alpha=\"0.20\", expect_size=\"33102848\"] \n  8 -> 23 [size =\"33102848\"]\n  8 -> 24 [size =\"33102848\"]\n  8 -> 33 [size =\"33102848\"]\n  9 [size=\"116357120\", alpha=\"0.18\", expect_size=\"34907136\"] \n  9 -> 23 [size =\"34907136\"]\n  9 -> 27 [size =\"34907136\"]\n  9 -> 30 [size =\"34907136\"]\n  9 -> 32 [size =\"34907136\"]\n  10 [size=\"156900693\", alpha=\"0.05\", expect_size=\"47070208\"] \n  10 -> 23 [size =\"47070208\"]\n  10 -> 24 [size =\"47070208\"]\n  10 -> 27 [size =\"47070208\"]\n  10 -> 28 [size =\"47070208\"]\n  10 -> 29 [size =\"47070208\"]\n  11 [size=\"39628800\", alpha=\"0.10\", expect_size=\"11888640\"] \n  11 -> 24 [size =\"11888640\"]\n  11 -> 27 [size =\"11888640\"]\n  11 -> 27 [size =\"11888640\"]\n  11 -> 30 [size =\"11888640\"]\n  11 -> 31 [size =\"11888640\"]\n  12 [size=\"128754347\", alpha=\"0.04\", expect_size=\"38626304\"] \n  12 -> 24 [size =\"38626304\"]\n  12 -> 27 [size =\"38626304\"]\n  13 [size=\"174045867\", alpha=\"0.19\", expect_size=\"52213760\"] \n  13 -> 23 [size =\"52213760\"]\n  13 -> 24 [size =\"52213760\"]\n  13 -> 26 [size =\"52213760\"]\n  13 -> 27 [size =\"52213760\"]\n  13 -> 31 [size =\"52213760\"]\n  13 -> 32 [size =\"52213760\"]\n  13 -> 34 [size =\"52213760\"]\n  14 [size=\"53551787\", alpha=\"0.03\", expect_size=\"16065536\"] \n  14 -> 29 [size =\"16065536\"]\n  14 -> 32 [size =\"16065536\"]\n  14 -> 35 [size =\"16065536\"]\n  15 [size=\"39144107\", alpha=\"0.11\", expect_size=\"11743232\"] \n  15 -> 24 [size =\"11743232\"]\n  15 -> 31 [size =\"11743232\"]\n  15 -> 32 [size =\"11743232\"]\n  16 [size=\"28579840\", alpha=\"0.13\", expect_size=\"8573952\"] \n  16 -> 23 [size =\"8573952\"]\n  16 -> 27 [size =\"8573952\"]\n  16 -> 28 [size =\"8573952\"]\n  16 -> 31 [size =\"8573952\"]\n  17 [size=\"23838720\", alpha=\"0.19\", expect_size=\"7151616\"] \n  17 -> 33 [size =\"7151616\"]\n  17 -> 35 [size =\"7151616\"]\n  18 [size=\"146432000\", alpha=\"0.16\", expect_size=\"43929600\"] \n  18 -> 24 [size =\"43929600\"]\n  18 -> 27 [size =\"43929600\"]\n  18 -> 28 [size =\"43929600\"]\n  18 -> 30 [size =\"43929600\"]\n  18 -> 31 [size =\"43929600\"]\n  18 -> 34 [size =\"43929600\"]\n  19 [size=\"144622933\", alpha=\"0.04\", expect_size=\"43386880\"] \n  19 -> 27 [size =\"43386880\"]\n  19 -> 28 [size =\"43386880\"]\n  19 -> 31 [size =\"43386880\"]\n  19 -> 34 [size =\"43386880\"]\n  19 -> 35 [size =\"43386880\"]\n  20 [size=\"127614293\", alpha=\"0.16\", expect_size=\"38284288\"] \n  20 -> 24 [size =\"38284288\"]\n  20 -> 28 [size =\"38284288\"]\n  20 -> 29 [size =\"38284288\"]\n  20 -> 32 [size =\"38284288\"]\n  21 [size=\"168328533\", alpha=\"0.12\", expect_size=\"50498560\"] \n  21 -> 24 [size =\"50498560\"]\n  21 -> 25 [size =\"50498560\"]\n  21 -> 28 [size =\"50498560\"]\n  21 -> 35 [size =\"50498560\"]\n  22 [size=\"88282453\", alpha=\"0.16\", expect_size=\"26484736\"] \n  22 -> 26 [size =\"26484736\"]\n  22 -> 27 [size =\"26484736\"]\n  22 -> 28 [size =\"26484736\"]\n  22 -> 30 [size =\"26484736\"]\n  22 -> 31 [size =\"26484736\"]\n  22 -> 35 [size =\"26484736\"]\n  23 [size=\"118316373\", alpha=\"0.01\", expect_size=\"35494912\"] \n  24 [size=\"113169067\", alpha=\"0.15\", expect_size=\"33950720\"] \n  25 [size=\"137591467\", alpha=\"0.02\", expect_size=\"41277440\"] \n  26 [size=\"69174613\", alpha=\"0.11\", expect_size=\"20752384\"] \n  27 [size=\"170997760\", alpha=\"0.17\", expect_size=\"51299328\"] \n  28 [size=\"160624640\", alpha=\"0.15\", expect_size=\"48187392\"] \n  29 [size=\"128177493\", alpha=\"0.06\", expect_size=\"38453248\"] \n  30 [size=\"162106027\", alpha=\"0.14\", expect_size=\"48631808\"] \n  31 [size=\"128860160\", alpha=\"0.05\", expect_size=\"38658048\"] \n  32 [size=\"66826240\", alpha=\"0.10\", expect_size=\"20047872\"] \n  33 [size=\"32570027\", alpha=\"0.15\", expect_size=\"9771008\"] \n  34 [size=\"40468480\", alpha=\"0.05\", expect_size=\"12140544\"] \n  35 [size=\"154910720\", alpha=\"0.17\", expect_size=\"46473216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60471296\", alpha=\"0.02\", expect_size=\"30235648\"] \n  1 -> 9 [size =\"30235648\"]\n  1 -> 14 [size =\"30235648\"]\n  1 -> 16 [size =\"30235648\"]\n  1 -> 18 [size =\"30235648\"]\n  1 -> 19 [size =\"30235648\"]\n  1 -> 20 [size =\"30235648\"]\n  1 -> 21 [size =\"30235648\"]\n  2 [size=\"63619072\", alpha=\"0.06\", expect_size=\"31809536\"] \n  2 -> 9 [size =\"31809536\"]\n  2 -> 10 [size =\"31809536\"]\n  2 -> 15 [size =\"31809536\"]\n  2 -> 18 [size =\"31809536\"]\n  2 -> 19 [size =\"31809536\"]\n  2 -> 21 [size =\"31809536\"]\n  3 [size=\"80435200\", alpha=\"0.10\", expect_size=\"40217600\"] \n  3 -> 9 [size =\"40217600\"]\n  3 -> 10 [size =\"40217600\"]\n  3 -> 11 [size =\"40217600\"]\n  3 -> 12 [size =\"40217600\"]\n  3 -> 14 [size =\"40217600\"]\n  3 -> 15 [size =\"40217600\"]\n  3 -> 18 [size =\"40217600\"]\n  3 -> 19 [size =\"40217600\"]\n  3 -> 20 [size =\"40217600\"]\n  4 [size=\"22204416\", alpha=\"0.08\", expect_size=\"11102208\"] \n  4 -> 10 [size =\"11102208\"]\n  4 -> 11 [size =\"11102208\"]\n  4 -> 12 [size =\"11102208\"]\n  4 -> 12 [size =\"11102208\"]\n  4 -> 13 [size =\"11102208\"]\n  4 -> 14 [size =\"11102208\"]\n  4 -> 15 [size =\"11102208\"]\n  4 -> 17 [size =\"11102208\"]\n  4 -> 18 [size =\"11102208\"]\n  4 -> 19 [size =\"11102208\"]\n  4 -> 20 [size =\"11102208\"]\n  4 -> 23 [size =\"11102208\"]\n  5 [size=\"49192960\", alpha=\"0.13\", expect_size=\"24596480\"] \n  5 -> 10 [size =\"24596480\"]\n  5 -> 11 [size =\"24596480\"]\n  5 -> 12 [size =\"24596480\"]\n  5 -> 14 [size =\"24596480\"]\n  5 -> 15 [size =\"24596480\"]\n  5 -> 16 [size =\"24596480\"]\n  5 -> 19 [size =\"24596480\"]\n  5 -> 20 [size =\"24596480\"]\n  5 -> 22 [size =\"24596480\"]\n  5 -> 23 [size =\"24596480\"]\n  6 [size=\"91455488\", alpha=\"0.19\", expect_size=\"45727744\"] \n  6 -> 10 [size =\"45727744\"]\n  6 -> 12 [size =\"45727744\"]\n  6 -> 13 [size =\"45727744\"]\n  6 -> 14 [size =\"45727744\"]\n  6 -> 15 [size =\"45727744\"]\n  6 -> 16 [size =\"45727744\"]\n  6 -> 17 [size =\"45727744\"]\n  6 -> 20 [size =\"45727744\"]\n  6 -> 22 [size =\"45727744\"]\n  6 -> 23 [size =\"45727744\"]\n  7 [size=\"92565504\", alpha=\"0.07\", expect_size=\"46282752\"] \n  7 -> 9 [size =\"46282752\"]\n  7 -> 10 [size =\"46282752\"]\n  7 -> 12 [size =\"46282752\"]\n  7 -> 13 [size =\"46282752\"]\n  7 -> 14 [size =\"46282752\"]\n  7 -> 15 [size =\"46282752\"]\n  7 -> 16 [size =\"46282752\"]\n  7 -> 17 [size =\"46282752\"]\n  7 -> 18 [size =\"46282752\"]\n  7 -> 21 [size =\"46282752\"]\n  7 -> 22 [size =\"46282752\"]\n  7 -> 23 [size =\"46282752\"]\n  8 [size=\"54970368\", alpha=\"0.17\", expect_size=\"27485184\"] \n  8 -> 9 [size =\"27485184\"]\n  8 -> 12 [size =\"27485184\"]\n  8 -> 13 [size =\"27485184\"]\n  8 -> 14 [size =\"27485184\"]\n  8 -> 15 [size =\"27485184\"]\n  8 -> 17 [size =\"27485184\"]\n  8 -> 19 [size =\"27485184\"]\n  8 -> 23 [size =\"27485184\"]\n  9 [size=\"81346560\", alpha=\"0.17\", expect_size=\"40673280\"] \n  9 -> 24 [size =\"40673280\"]\n  9 -> 25 [size =\"40673280\"]\n  9 -> 26 [size =\"40673280\"]\n  9 -> 27 [size =\"40673280\"]\n  9 -> 29 [size =\"40673280\"]\n  9 -> 30 [size =\"40673280\"]\n  9 -> 33 [size =\"40673280\"]\n  10 [size=\"93179904\", alpha=\"0.16\", expect_size=\"46589952\"] \n  10 -> 25 [size =\"46589952\"]\n  10 -> 27 [size =\"46589952\"]\n  10 -> 29 [size =\"46589952\"]\n  10 -> 33 [size =\"46589952\"]\n  11 [size=\"56242176\", alpha=\"0.16\", expect_size=\"28121088\"] \n  11 -> 24 [size =\"28121088\"]\n  11 -> 27 [size =\"28121088\"]\n  11 -> 29 [size =\"28121088\"]\n  11 -> 30 [size =\"28121088\"]\n  11 -> 33 [size =\"28121088\"]\n  11 -> 35 [size =\"28121088\"]\n  12 [size=\"64407552\", alpha=\"0.08\", expect_size=\"32203776\"] \n  12 -> 24 [size =\"32203776\"]\n  12 -> 27 [size =\"32203776\"]\n  12 -> 29 [size =\"32203776\"]\n  12 -> 30 [size =\"32203776\"]\n  12 -> 31 [size =\"32203776\"]\n  13 [size=\"92227584\", alpha=\"0.13\", expect_size=\"46113792\"] \n  13 -> 24 [size =\"46113792\"]\n  13 -> 26 [size =\"46113792\"]\n  13 -> 27 [size =\"46113792\"]\n  13 -> 29 [size =\"46113792\"]\n  13 -> 30 [size =\"46113792\"]\n  13 -> 31 [size =\"46113792\"]\n  14 [size=\"47097856\", alpha=\"0.17\", expect_size=\"23548928\"] \n  14 -> 24 [size =\"23548928\"]\n  14 -> 25 [size =\"23548928\"]\n  14 -> 26 [size =\"23548928\"]\n  14 -> 27 [size =\"23548928\"]\n  14 -> 29 [size =\"23548928\"]\n  14 -> 31 [size =\"23548928\"]\n  14 -> 33 [size =\"23548928\"]\n  14 -> 35 [size =\"23548928\"]\n  15 [size=\"86263808\", alpha=\"0.02\", expect_size=\"43131904\"] \n  15 -> 24 [size =\"43131904\"]\n  15 -> 25 [size =\"43131904\"]\n  15 -> 27 [size =\"43131904\"]\n  15 -> 29 [size =\"43131904\"]\n  15 -> 29 [size =\"43131904\"]\n  15 -> 30 [size =\"43131904\"]\n  15 -> 33 [size =\"43131904\"]\n  15 -> 35 [size =\"43131904\"]\n  16 [size=\"53008384\", alpha=\"0.05\", expect_size=\"26504192\"] \n  16 -> 25 [size =\"26504192\"]\n  16 -> 26 [size =\"26504192\"]\n  16 -> 27 [size =\"26504192\"]\n  16 -> 32 [size =\"26504192\"]\n  16 -> 33 [size =\"26504192\"]\n  17 [size=\"45936640\", alpha=\"0.12\", expect_size=\"22968320\"] \n  17 -> 26 [size =\"22968320\"]\n  17 -> 27 [size =\"22968320\"]\n  17 -> 30 [size =\"22968320\"]\n  17 -> 31 [size =\"22968320\"]\n  17 -> 33 [size =\"22968320\"]\n  18 [size=\"79857664\", alpha=\"0.15\", expect_size=\"39928832\"] \n  18 -> 24 [size =\"39928832\"]\n  18 -> 25 [size =\"39928832\"]\n  18 -> 26 [size =\"39928832\"]\n  18 -> 29 [size =\"39928832\"]\n  18 -> 31 [size =\"39928832\"]\n  18 -> 33 [size =\"39928832\"]\n  19 [size=\"66754560\", alpha=\"0.11\", expect_size=\"33377280\"] \n  19 -> 24 [size =\"33377280\"]\n  19 -> 25 [size =\"33377280\"]\n  19 -> 27 [size =\"33377280\"]\n  19 -> 28 [size =\"33377280\"]\n  19 -> 30 [size =\"33377280\"]\n  19 -> 33 [size =\"33377280\"]\n  19 -> 35 [size =\"33377280\"]\n  20 [size=\"52133888\", alpha=\"0.08\", expect_size=\"26066944\"] \n  20 -> 27 [size =\"26066944\"]\n  20 -> 31 [size =\"26066944\"]\n  20 -> 33 [size =\"26066944\"]\n  20 -> 35 [size =\"26066944\"]\n  21 [size=\"33658880\", alpha=\"0.16\", expect_size=\"16829440\"] \n  21 -> 24 [size =\"16829440\"]\n  21 -> 26 [size =\"16829440\"]\n  21 -> 27 [size =\"16829440\"]\n  21 -> 29 [size =\"16829440\"]\n  21 -> 30 [size =\"16829440\"]\n  21 -> 31 [size =\"16829440\"]\n  21 -> 33 [size =\"16829440\"]\n  22 [size=\"14364672\", alpha=\"0.15\", expect_size=\"7182336\"] \n  22 -> 25 [size =\"7182336\"]\n  22 -> 27 [size =\"7182336\"]\n  22 -> 29 [size =\"7182336\"]\n  22 -> 29 [size =\"7182336\"]\n  22 -> 30 [size =\"7182336\"]\n  22 -> 33 [size =\"7182336\"]\n  22 -> 33 [size =\"7182336\"]\n  23 [size=\"53852160\", alpha=\"0.08\", expect_size=\"26926080\"] \n  23 -> 25 [size =\"26926080\"]\n  23 -> 29 [size =\"26926080\"]\n  23 -> 30 [size =\"26926080\"]\n  23 -> 31 [size =\"26926080\"]\n  23 -> 33 [size =\"26926080\"]\n  23 -> 34 [size =\"26926080\"]\n  24 [size=\"21170176\", alpha=\"0.05\", expect_size=\"10585088\"] \n  25 [size=\"100405248\", alpha=\"0.09\", expect_size=\"50202624\"] \n  26 [size=\"17299456\", alpha=\"0.10\", expect_size=\"8649728\"] \n  27 [size=\"39733248\", alpha=\"0.09\", expect_size=\"19866624\"] \n  28 [size=\"95199232\", alpha=\"0.18\", expect_size=\"47599616\"] \n  29 [size=\"72407040\", alpha=\"0.01\", expect_size=\"36203520\"] \n  30 [size=\"30547968\", alpha=\"0.02\", expect_size=\"15273984\"] \n  31 [size=\"69003264\", alpha=\"0.13\", expect_size=\"34501632\"] \n  32 [size=\"49016832\", alpha=\"0.15\", expect_size=\"24508416\"] \n  33 [size=\"23719936\", alpha=\"0.14\", expect_size=\"11859968\"] \n  34 [size=\"63064064\", alpha=\"0.01\", expect_size=\"31532032\"] \n  35 [size=\"84393984\", alpha=\"0.04\", expect_size=\"42196992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127747413\", alpha=\"0.15\", expect_size=\"38324224\"] \n  1 -> 3 [size =\"38324224\"]\n  1 -> 4 [size =\"38324224\"]\n  2 [size=\"53913600\", alpha=\"0.10\", expect_size=\"16174080\"] \n  2 -> 3 [size =\"16174080\"]\n  2 -> 4 [size =\"16174080\"]\n  3 [size=\"127327573\", alpha=\"0.06\", expect_size=\"38198272\"] \n  3 -> 6 [size =\"38198272\"]\n  3 -> 7 [size =\"38198272\"]\n  3 -> 8 [size =\"38198272\"]\n  4 [size=\"106458453\", alpha=\"0.16\", expect_size=\"31937536\"] \n  4 -> 5 [size =\"31937536\"]\n  4 -> 7 [size =\"31937536\"]\n  5 [size=\"19828053\", alpha=\"0.04\", expect_size=\"5948416\"] \n  5 -> 9 [size =\"5948416\"]\n  5 -> 10 [size =\"5948416\"]\n  5 -> 11 [size =\"5948416\"]\n  5 -> 14 [size =\"5948416\"]\n  6 [size=\"148060160\", alpha=\"0.09\", expect_size=\"44418048\"] \n  6 -> 9 [size =\"44418048\"]\n  6 -> 12 [size =\"44418048\"]\n  7 [size=\"103256747\", alpha=\"0.11\", expect_size=\"30977024\"] \n  7 -> 13 [size =\"30977024\"]\n  7 -> 14 [size =\"30977024\"]\n  8 [size=\"19179520\", alpha=\"0.13\", expect_size=\"5753856\"] \n  8 -> 10 [size =\"5753856\"]\n  8 -> 13 [size =\"5753856\"]\n  8 -> 14 [size =\"5753856\"]\n  9 [size=\"31757653\", alpha=\"0.11\", expect_size=\"9527296\"] \n  9 -> 15 [size =\"9527296\"]\n  9 -> 18 [size =\"9527296\"]\n  9 -> 19 [size =\"9527296\"]\n  9 -> 20 [size =\"9527296\"]\n  10 [size=\"21377707\", alpha=\"0.19\", expect_size=\"6413312\"] \n  10 -> 15 [size =\"6413312\"]\n  10 -> 16 [size =\"6413312\"]\n  10 -> 21 [size =\"6413312\"]\n  11 [size=\"159337813\", alpha=\"0.18\", expect_size=\"47801344\"] \n  11 -> 15 [size =\"47801344\"]\n  11 -> 17 [size =\"47801344\"]\n  11 -> 21 [size =\"47801344\"]\n  12 [size=\"120292693\", alpha=\"0.08\", expect_size=\"36087808\"] \n  12 -> 15 [size =\"36087808\"]\n  12 -> 18 [size =\"36087808\"]\n  12 -> 20 [size =\"36087808\"]\n  12 -> 21 [size =\"36087808\"]\n  13 [size=\"43315200\", alpha=\"0.14\", expect_size=\"12994560\"] \n  13 -> 15 [size =\"12994560\"]\n  13 -> 16 [size =\"12994560\"]\n  13 -> 19 [size =\"12994560\"]\n  13 -> 20 [size =\"12994560\"]\n  13 -> 21 [size =\"12994560\"]\n  14 [size=\"89613653\", alpha=\"0.03\", expect_size=\"26884096\"] \n  14 -> 16 [size =\"26884096\"]\n  14 -> 18 [size =\"26884096\"]\n  14 -> 19 [size =\"26884096\"]\n  14 -> 21 [size =\"26884096\"]\n  15 [size=\"56811520\", alpha=\"0.01\", expect_size=\"17043456\"] \n  15 -> 24 [size =\"17043456\"]\n  16 [size=\"85517653\", alpha=\"0.08\", expect_size=\"25655296\"] \n  16 -> 22 [size =\"25655296\"]\n  16 -> 24 [size =\"25655296\"]\n  16 -> 25 [size =\"25655296\"]\n  16 -> 26 [size =\"25655296\"]\n  17 [size=\"155337387\", alpha=\"0.04\", expect_size=\"46601216\"] \n  17 -> 22 [size =\"46601216\"]\n  17 -> 24 [size =\"46601216\"]\n  17 -> 27 [size =\"46601216\"]\n  18 [size=\"88166400\", alpha=\"0.20\", expect_size=\"26449920\"] \n  18 -> 22 [size =\"26449920\"]\n  18 -> 23 [size =\"26449920\"]\n  18 -> 25 [size =\"26449920\"]\n  19 [size=\"34003627\", alpha=\"0.03\", expect_size=\"10201088\"] \n  19 -> 22 [size =\"10201088\"]\n  19 -> 23 [size =\"10201088\"]\n  19 -> 24 [size =\"10201088\"]\n  20 [size=\"116869120\", alpha=\"0.02\", expect_size=\"35060736\"] \n  20 -> 22 [size =\"35060736\"]\n  20 -> 23 [size =\"35060736\"]\n  21 [size=\"108564480\", alpha=\"0.15\", expect_size=\"32569344\"] \n  21 -> 24 [size =\"32569344\"]\n  21 -> 27 [size =\"32569344\"]\n  22 [size=\"91426133\", alpha=\"0.12\", expect_size=\"27427840\"] \n  22 -> 29 [size =\"27427840\"]\n  22 -> 30 [size =\"27427840\"]\n  22 -> 30 [size =\"27427840\"]\n  23 [size=\"151108267\", alpha=\"0.04\", expect_size=\"45332480\"] \n  23 -> 30 [size =\"45332480\"]\n  23 -> 31 [size =\"45332480\"]\n  24 [size=\"104840533\", alpha=\"0.07\", expect_size=\"31452160\"] \n  24 -> 29 [size =\"31452160\"]\n  25 [size=\"131829760\", alpha=\"0.10\", expect_size=\"39548928\"] \n  25 -> 28 [size =\"39548928\"]\n  26 [size=\"141769387\", alpha=\"0.10\", expect_size=\"42530816\"] \n  26 -> 28 [size =\"42530816\"]\n  27 [size=\"43929600\", alpha=\"0.00\", expect_size=\"13178880\"] \n  27 -> 28 [size =\"13178880\"]\n  27 -> 29 [size =\"13178880\"]\n  27 -> 30 [size =\"13178880\"]\n  28 [size=\"73202347\", alpha=\"0.11\", expect_size=\"21960704\"] \n  28 -> 32 [size =\"21960704\"]\n  28 -> 34 [size =\"21960704\"]\n  29 [size=\"70912000\", alpha=\"0.04\", expect_size=\"21273600\"] \n  29 -> 32 [size =\"21273600\"]\n  29 -> 35 [size =\"21273600\"]\n  30 [size=\"91845973\", alpha=\"0.17\", expect_size=\"27553792\"] \n  30 -> 35 [size =\"27553792\"]\n  31 [size=\"104567467\", alpha=\"0.09\", expect_size=\"31370240\"] \n  31 -> 33 [size =\"31370240\"]\n  31 -> 34 [size =\"31370240\"]\n  31 -> 35 [size =\"31370240\"]\n  32 [size=\"62068053\", alpha=\"0.13\", expect_size=\"18620416\"] \n  33 [size=\"158068053\", alpha=\"0.01\", expect_size=\"47420416\"] \n  34 [size=\"30566400\", alpha=\"0.17\", expect_size=\"9169920\"] \n  35 [size=\"83118080\", alpha=\"0.19\", expect_size=\"24935424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125985280\", alpha=\"0.16\", expect_size=\"50394112\"] \n  1 -> 34 [size =\"50394112\"]\n  2 [size=\"42106880\", alpha=\"0.19\", expect_size=\"16842752\"] \n  2 -> 33 [size =\"16842752\"]\n  2 -> 34 [size =\"16842752\"]\n  2 -> 35 [size =\"16842752\"]\n  3 [size=\"109501440\", alpha=\"0.16\", expect_size=\"43800576\"] \n  3 -> 33 [size =\"43800576\"]\n  3 -> 34 [size =\"43800576\"]\n  3 -> 35 [size =\"43800576\"]\n  4 [size=\"79370240\", alpha=\"0.02\", expect_size=\"31748096\"] \n  4 -> 33 [size =\"31748096\"]\n  4 -> 34 [size =\"31748096\"]\n  4 -> 35 [size =\"31748096\"]\n  5 [size=\"35438080\", alpha=\"0.03\", expect_size=\"14175232\"] \n  5 -> 33 [size =\"14175232\"]\n  5 -> 34 [size =\"14175232\"]\n  6 [size=\"84311040\", alpha=\"0.02\", expect_size=\"33724416\"] \n  6 -> 33 [size =\"33724416\"]\n  7 [size=\"33274880\", alpha=\"0.02\", expect_size=\"13309952\"] \n  7 -> 32 [size =\"13309952\"]\n  7 -> 33 [size =\"13309952\"]\n  7 -> 34 [size =\"13309952\"]\n  7 -> 35 [size =\"13309952\"]\n  8 [size=\"82240000\", alpha=\"0.18\", expect_size=\"32896000\"] \n  8 -> 33 [size =\"32896000\"]\n  8 -> 34 [size =\"32896000\"]\n  8 -> 34 [size =\"32896000\"]\n  8 -> 35 [size =\"32896000\"]\n  9 [size=\"128847360\", alpha=\"0.15\", expect_size=\"51538944\"] \n  9 -> 33 [size =\"51538944\"]\n  9 -> 34 [size =\"51538944\"]\n  9 -> 35 [size =\"51538944\"]\n  10 [size=\"90705920\", alpha=\"0.11\", expect_size=\"36282368\"] \n  10 -> 33 [size =\"36282368\"]\n  10 -> 34 [size =\"36282368\"]\n  11 [size=\"80046080\", alpha=\"0.12\", expect_size=\"32018432\"] \n  11 -> 33 [size =\"32018432\"]\n  12 [size=\"57169920\", alpha=\"0.05\", expect_size=\"22867968\"] \n  12 -> 33 [size =\"22867968\"]\n  12 -> 34 [size =\"22867968\"]\n  13 [size=\"53839360\", alpha=\"0.07\", expect_size=\"21535744\"] \n  14 [size=\"27402240\", alpha=\"0.03\", expect_size=\"10960896\"] \n  14 -> 34 [size =\"10960896\"]\n  15 [size=\"41556480\", alpha=\"0.18\", expect_size=\"16622592\"] \n  15 -> 32 [size =\"16622592\"]\n  15 -> 34 [size =\"16622592\"]\n  16 [size=\"60928000\", alpha=\"0.05\", expect_size=\"24371200\"] \n  16 -> 32 [size =\"24371200\"]\n  16 -> 34 [size =\"24371200\"]\n  16 -> 35 [size =\"24371200\"]\n  17 [size=\"75397120\", alpha=\"0.15\", expect_size=\"30158848\"] \n  17 -> 34 [size =\"30158848\"]\n  17 -> 34 [size =\"30158848\"]\n  17 -> 35 [size =\"30158848\"]\n  18 [size=\"86791680\", alpha=\"0.11\", expect_size=\"34716672\"] \n  18 -> 34 [size =\"34716672\"]\n  19 [size=\"76421120\", alpha=\"0.15\", expect_size=\"30568448\"] \n  19 -> 34 [size =\"30568448\"]\n  20 [size=\"49144320\", alpha=\"0.16\", expect_size=\"19657728\"] \n  21 [size=\"116344320\", alpha=\"0.16\", expect_size=\"46537728\"] \n  21 -> 33 [size =\"46537728\"]\n  22 [size=\"67115520\", alpha=\"0.01\", expect_size=\"26846208\"] \n  22 -> 34 [size =\"26846208\"]\n  23 [size=\"93900800\", alpha=\"0.02\", expect_size=\"37560320\"] \n  23 -> 34 [size =\"37560320\"]\n  24 [size=\"16353280\", alpha=\"0.14\", expect_size=\"6541312\"] \n  24 -> 34 [size =\"6541312\"]\n  25 [size=\"32473600\", alpha=\"0.11\", expect_size=\"12989440\"] \n  25 -> 34 [size =\"12989440\"]\n  26 [size=\"19031040\", alpha=\"0.19\", expect_size=\"7612416\"] \n  26 -> 34 [size =\"7612416\"]\n  27 [size=\"47703040\", alpha=\"0.11\", expect_size=\"19081216\"] \n  28 [size=\"18127360\", alpha=\"0.14\", expect_size=\"7250944\"] \n  28 -> 32 [size =\"7250944\"]\n  28 -> 34 [size =\"7250944\"]\n  29 [size=\"80773120\", alpha=\"0.18\", expect_size=\"32309248\"] \n  30 [size=\"50124800\", alpha=\"0.14\", expect_size=\"20049920\"] \n  30 -> 33 [size =\"20049920\"]\n  30 -> 34 [size =\"20049920\"]\n  31 [size=\"24665600\", alpha=\"0.01\", expect_size=\"9866240\"] \n  31 -> 34 [size =\"9866240\"]\n  32 [size=\"117276160\", alpha=\"0.17\", expect_size=\"46910464\"] \n  33 [size=\"121029120\", alpha=\"0.19\", expect_size=\"48411648\"] \n  34 [size=\"14351360\", alpha=\"0.03\", expect_size=\"5740544\"] \n  35 [size=\"99438080\", alpha=\"0.12\", expect_size=\"39775232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27942912\", alpha=\"0.00\", expect_size=\"13971456\"] \n  1 -> 2 [size =\"13971456\"]\n  2 [size=\"33693696\", alpha=\"0.06\", expect_size=\"16846848\"] \n  2 -> 3 [size =\"16846848\"]\n  3 [size=\"14274560\", alpha=\"0.08\", expect_size=\"7137280\"] \n  3 -> 4 [size =\"7137280\"]\n  4 [size=\"35348480\", alpha=\"0.11\", expect_size=\"17674240\"] \n  4 -> 5 [size =\"17674240\"]\n  5 [size=\"85147648\", alpha=\"0.16\", expect_size=\"42573824\"] \n  5 -> 6 [size =\"42573824\"]\n  6 [size=\"32989184\", alpha=\"0.18\", expect_size=\"16494592\"] \n  6 -> 7 [size =\"16494592\"]\n  7 [size=\"80560128\", alpha=\"0.13\", expect_size=\"40280064\"] \n  7 -> 8 [size =\"40280064\"]\n  8 [size=\"68636672\", alpha=\"0.15\", expect_size=\"34318336\"] \n  8 -> 9 [size =\"34318336\"]\n  9 [size=\"17500160\", alpha=\"0.11\", expect_size=\"8750080\"] \n  9 -> 10 [size =\"8750080\"]\n  10 [size=\"15355904\", alpha=\"0.08\", expect_size=\"7677952\"] \n  10 -> 11 [size =\"7677952\"]\n  11 [size=\"75026432\", alpha=\"0.08\", expect_size=\"37513216\"] \n  11 -> 12 [size =\"37513216\"]\n  12 [size=\"75094016\", alpha=\"0.07\", expect_size=\"37547008\"] \n  12 -> 13 [size =\"37547008\"]\n  13 [size=\"102264832\", alpha=\"0.04\", expect_size=\"51132416\"] \n  13 -> 14 [size =\"51132416\"]\n  14 [size=\"44410880\", alpha=\"0.14\", expect_size=\"22205440\"] \n  14 -> 15 [size =\"22205440\"]\n  15 [size=\"97089536\", alpha=\"0.06\", expect_size=\"48544768\"] \n  15 -> 16 [size =\"48544768\"]\n  16 [size=\"78624768\", alpha=\"0.05\", expect_size=\"39312384\"] \n  16 -> 17 [size =\"39312384\"]\n  17 [size=\"71233536\", alpha=\"0.10\", expect_size=\"35616768\"] \n  17 -> 18 [size =\"35616768\"]\n  18 [size=\"39626752\", alpha=\"0.04\", expect_size=\"19813376\"] \n  18 -> 19 [size =\"19813376\"]\n  19 [size=\"17653760\", alpha=\"0.02\", expect_size=\"8826880\"] \n  19 -> 20 [size =\"8826880\"]\n  20 [size=\"69027840\", alpha=\"0.01\", expect_size=\"34513920\"] \n  20 -> 21 [size =\"34513920\"]\n  21 [size=\"10758144\", alpha=\"0.04\", expect_size=\"5379072\"] \n  21 -> 22 [size =\"5379072\"]\n  22 [size=\"49119232\", alpha=\"0.11\", expect_size=\"24559616\"] \n  22 -> 23 [size =\"24559616\"]\n  23 [size=\"82751488\", alpha=\"0.19\", expect_size=\"41375744\"] \n  23 -> 24 [size =\"41375744\"]\n  24 [size=\"100581376\", alpha=\"0.13\", expect_size=\"50290688\"] \n  24 -> 25 [size =\"50290688\"]\n  25 [size=\"71364608\", alpha=\"0.02\", expect_size=\"35682304\"] \n  25 -> 26 [size =\"35682304\"]\n  26 [size=\"101531648\", alpha=\"0.17\", expect_size=\"50765824\"] \n  26 -> 27 [size =\"50765824\"]\n  27 [size=\"31635456\", alpha=\"0.06\", expect_size=\"15817728\"] \n  27 -> 28 [size =\"15817728\"]\n  28 [size=\"80807936\", alpha=\"0.07\", expect_size=\"40403968\"] \n  28 -> 29 [size =\"40403968\"]\n  29 [size=\"97429504\", alpha=\"0.10\", expect_size=\"48714752\"] \n  29 -> 30 [size =\"48714752\"]\n  30 [size=\"13285376\", alpha=\"0.14\", expect_size=\"6642688\"] \n  30 -> 31 [size =\"6642688\"]\n  31 [size=\"18233344\", alpha=\"0.11\", expect_size=\"9116672\"] \n  31 -> 32 [size =\"9116672\"]\n  32 [size=\"35360768\", alpha=\"0.02\", expect_size=\"17680384\"] \n  32 -> 33 [size =\"17680384\"]\n  33 [size=\"87877632\", alpha=\"0.13\", expect_size=\"43938816\"] \n  33 -> 34 [size =\"43938816\"]\n  34 [size=\"85198848\", alpha=\"0.11\", expect_size=\"42599424\"] \n  34 -> 35 [size =\"42599424\"]\n  35 [size=\"52189184\", alpha=\"0.07\", expect_size=\"26094592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65420800\", alpha=\"0.04\", expect_size=\"26168320\"] \n  1 -> 7 [size =\"26168320\"]\n  1 -> 8 [size =\"26168320\"]\n  1 -> 9 [size =\"26168320\"]\n  1 -> 11 [size =\"26168320\"]\n  2 [size=\"117655040\", alpha=\"0.03\", expect_size=\"47062016\"] \n  2 -> 7 [size =\"47062016\"]\n  2 -> 9 [size =\"47062016\"]\n  2 -> 10 [size =\"47062016\"]\n  2 -> 11 [size =\"47062016\"]\n  3 [size=\"80622080\", alpha=\"0.03\", expect_size=\"32248832\"] \n  3 -> 7 [size =\"32248832\"]\n  3 -> 8 [size =\"32248832\"]\n  3 -> 9 [size =\"32248832\"]\n  3 -> 11 [size =\"32248832\"]\n  4 [size=\"26229760\", alpha=\"0.19\", expect_size=\"10491904\"] \n  4 -> 8 [size =\"10491904\"]\n  4 -> 9 [size =\"10491904\"]\n  4 -> 10 [size =\"10491904\"]\n  4 -> 11 [size =\"10491904\"]\n  5 [size=\"36797440\", alpha=\"0.01\", expect_size=\"14718976\"] \n  5 -> 7 [size =\"14718976\"]\n  5 -> 8 [size =\"14718976\"]\n  5 -> 9 [size =\"14718976\"]\n  5 -> 10 [size =\"14718976\"]\n  6 [size=\"92531200\", alpha=\"0.16\", expect_size=\"37012480\"] \n  6 -> 7 [size =\"37012480\"]\n  6 -> 8 [size =\"37012480\"]\n  6 -> 9 [size =\"37012480\"]\n  7 [size=\"126208000\", alpha=\"0.17\", expect_size=\"50483200\"] \n  7 -> 12 [size =\"50483200\"]\n  7 -> 13 [size =\"50483200\"]\n  7 -> 16 [size =\"50483200\"]\n  8 [size=\"127416320\", alpha=\"0.09\", expect_size=\"50966528\"] \n  8 -> 13 [size =\"50966528\"]\n  8 -> 14 [size =\"50966528\"]\n  8 -> 15 [size =\"50966528\"]\n  8 -> 16 [size =\"50966528\"]\n  9 [size=\"87224320\", alpha=\"0.19\", expect_size=\"34889728\"] \n  9 -> 12 [size =\"34889728\"]\n  9 -> 13 [size =\"34889728\"]\n  9 -> 14 [size =\"34889728\"]\n  9 -> 15 [size =\"34889728\"]\n  9 -> 16 [size =\"34889728\"]\n  10 [size=\"42316800\", alpha=\"0.02\", expect_size=\"16926720\"] \n  10 -> 13 [size =\"16926720\"]\n  10 -> 14 [size =\"16926720\"]\n  10 -> 14 [size =\"16926720\"]\n  10 -> 15 [size =\"16926720\"]\n  10 -> 16 [size =\"16926720\"]\n  11 [size=\"45542400\", alpha=\"0.08\", expect_size=\"18216960\"] \n  11 -> 12 [size =\"18216960\"]\n  11 -> 13 [size =\"18216960\"]\n  11 -> 14 [size =\"18216960\"]\n  11 -> 15 [size =\"18216960\"]\n  11 -> 16 [size =\"18216960\"]\n  12 [size=\"68572160\", alpha=\"0.14\", expect_size=\"27428864\"] \n  12 -> 17 [size =\"27428864\"]\n  12 -> 18 [size =\"27428864\"]\n  12 -> 19 [size =\"27428864\"]\n  13 [size=\"84961280\", alpha=\"0.02\", expect_size=\"33984512\"] \n  13 -> 17 [size =\"33984512\"]\n  13 -> 19 [size =\"33984512\"]\n  13 -> 19 [size =\"33984512\"]\n  14 [size=\"101552640\", alpha=\"0.07\", expect_size=\"40621056\"] \n  15 [size=\"94072320\", alpha=\"0.05\", expect_size=\"37628928\"] \n  15 -> 17 [size =\"37628928\"]\n  15 -> 18 [size =\"37628928\"]\n  16 [size=\"99048960\", alpha=\"0.01\", expect_size=\"39619584\"] \n  16 -> 17 [size =\"39619584\"]\n  16 -> 18 [size =\"39619584\"]\n  16 -> 19 [size =\"39619584\"]\n  17 [size=\"73866240\", alpha=\"0.13\", expect_size=\"29546496\"] \n  17 -> 23 [size =\"29546496\"]\n  18 [size=\"58903040\", alpha=\"0.19\", expect_size=\"23561216\"] \n  18 -> 21 [size =\"23561216\"]\n  18 -> 23 [size =\"23561216\"]\n  18 -> 24 [size =\"23561216\"]\n  19 [size=\"109352960\", alpha=\"0.12\", expect_size=\"43741184\"] \n  19 -> 20 [size =\"43741184\"]\n  19 -> 22 [size =\"43741184\"]\n  19 -> 23 [size =\"43741184\"]\n  20 [size=\"104757760\", alpha=\"0.06\", expect_size=\"41903104\"] \n  20 -> 25 [size =\"41903104\"]\n  20 -> 26 [size =\"41903104\"]\n  20 -> 28 [size =\"41903104\"]\n  20 -> 29 [size =\"41903104\"]\n  21 [size=\"116856320\", alpha=\"0.09\", expect_size=\"46742528\"] \n  21 -> 25 [size =\"46742528\"]\n  21 -> 27 [size =\"46742528\"]\n  21 -> 28 [size =\"46742528\"]\n  21 -> 29 [size =\"46742528\"]\n  22 [size=\"46563840\", alpha=\"0.09\", expect_size=\"18625536\"] \n  22 -> 25 [size =\"18625536\"]\n  22 -> 26 [size =\"18625536\"]\n  22 -> 27 [size =\"18625536\"]\n  22 -> 28 [size =\"18625536\"]\n  22 -> 29 [size =\"18625536\"]\n  23 [size=\"13163520\", alpha=\"0.01\", expect_size=\"5265408\"] \n  23 -> 25 [size =\"5265408\"]\n  23 -> 27 [size =\"5265408\"]\n  23 -> 28 [size =\"5265408\"]\n  23 -> 29 [size =\"5265408\"]\n  24 [size=\"23854080\", alpha=\"0.15\", expect_size=\"9541632\"] \n  24 -> 26 [size =\"9541632\"]\n  24 -> 28 [size =\"9541632\"]\n  24 -> 29 [size =\"9541632\"]\n  25 [size=\"64046080\", alpha=\"0.14\", expect_size=\"25618432\"] \n  25 -> 30 [size =\"25618432\"]\n  26 [size=\"90603520\", alpha=\"0.06\", expect_size=\"36241408\"] \n  26 -> 30 [size =\"36241408\"]\n  26 -> 31 [size =\"36241408\"]\n  27 [size=\"93754880\", alpha=\"0.16\", expect_size=\"37501952\"] \n  27 -> 30 [size =\"37501952\"]\n  27 -> 31 [size =\"37501952\"]\n  28 [size=\"50439680\", alpha=\"0.07\", expect_size=\"20175872\"] \n  28 -> 30 [size =\"20175872\"]\n  28 -> 31 [size =\"20175872\"]\n  29 [size=\"46548480\", alpha=\"0.10\", expect_size=\"18619392\"] \n  29 -> 30 [size =\"18619392\"]\n  29 -> 31 [size =\"18619392\"]\n  30 [size=\"115819520\", alpha=\"0.17\", expect_size=\"46327808\"] \n  30 -> 33 [size =\"46327808\"]\n  30 -> 34 [size =\"46327808\"]\n  31 [size=\"31697920\", alpha=\"0.11\", expect_size=\"12679168\"] \n  31 -> 32 [size =\"12679168\"]\n  31 -> 33 [size =\"12679168\"]\n  31 -> 34 [size =\"12679168\"]\n  32 [size=\"82426880\", alpha=\"0.13\", expect_size=\"32970752\"] \n  32 -> 35 [size =\"32970752\"]\n  33 [size=\"18664960\", alpha=\"0.08\", expect_size=\"7465984\"] \n  33 -> 35 [size =\"7465984\"]\n  34 [size=\"25889280\", alpha=\"0.18\", expect_size=\"10355712\"] \n  34 -> 35 [size =\"10355712\"]\n  35 [size=\"117224960\", alpha=\"0.02\", expect_size=\"46889984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96176128\", alpha=\"0.16\", expect_size=\"48088064\"] \n  1 -> 12 [size =\"48088064\"]\n  1 -> 13 [size =\"48088064\"]\n  1 -> 14 [size =\"48088064\"]\n  1 -> 15 [size =\"48088064\"]\n  1 -> 18 [size =\"48088064\"]\n  1 -> 22 [size =\"48088064\"]\n  2 [size=\"80273408\", alpha=\"0.13\", expect_size=\"40136704\"] \n  2 -> 12 [size =\"40136704\"]\n  2 -> 13 [size =\"40136704\"]\n  2 -> 14 [size =\"40136704\"]\n  2 -> 15 [size =\"40136704\"]\n  2 -> 20 [size =\"40136704\"]\n  2 -> 21 [size =\"40136704\"]\n  3 [size=\"88832000\", alpha=\"0.04\", expect_size=\"44416000\"] \n  3 -> 12 [size =\"44416000\"]\n  3 -> 13 [size =\"44416000\"]\n  3 -> 15 [size =\"44416000\"]\n  3 -> 15 [size =\"44416000\"]\n  3 -> 16 [size =\"44416000\"]\n  3 -> 18 [size =\"44416000\"]\n  3 -> 19 [size =\"44416000\"]\n  3 -> 22 [size =\"44416000\"]\n  4 [size=\"98072576\", alpha=\"0.10\", expect_size=\"49036288\"] \n  4 -> 12 [size =\"49036288\"]\n  4 -> 14 [size =\"49036288\"]\n  4 -> 15 [size =\"49036288\"]\n  4 -> 16 [size =\"49036288\"]\n  4 -> 18 [size =\"49036288\"]\n  4 -> 19 [size =\"49036288\"]\n  4 -> 21 [size =\"49036288\"]\n  5 [size=\"81397760\", alpha=\"0.10\", expect_size=\"40698880\"] \n  5 -> 12 [size =\"40698880\"]\n  5 -> 14 [size =\"40698880\"]\n  5 -> 15 [size =\"40698880\"]\n  5 -> 18 [size =\"40698880\"]\n  5 -> 18 [size =\"40698880\"]\n  5 -> 19 [size =\"40698880\"]\n  5 -> 21 [size =\"40698880\"]\n  6 [size=\"66308096\", alpha=\"0.07\", expect_size=\"33154048\"] \n  6 -> 12 [size =\"33154048\"]\n  6 -> 14 [size =\"33154048\"]\n  6 -> 15 [size =\"33154048\"]\n  6 -> 16 [size =\"33154048\"]\n  6 -> 21 [size =\"33154048\"]\n  7 [size=\"39905280\", alpha=\"0.03\", expect_size=\"19952640\"] \n  7 -> 12 [size =\"19952640\"]\n  7 -> 14 [size =\"19952640\"]\n  7 -> 15 [size =\"19952640\"]\n  7 -> 17 [size =\"19952640\"]\n  7 -> 18 [size =\"19952640\"]\n  7 -> 21 [size =\"19952640\"]\n  7 -> 22 [size =\"19952640\"]\n  8 [size=\"37552128\", alpha=\"0.18\", expect_size=\"18776064\"] \n  8 -> 12 [size =\"18776064\"]\n  8 -> 13 [size =\"18776064\"]\n  8 -> 14 [size =\"18776064\"]\n  8 -> 16 [size =\"18776064\"]\n  8 -> 18 [size =\"18776064\"]\n  8 -> 19 [size =\"18776064\"]\n  8 -> 21 [size =\"18776064\"]\n  8 -> 22 [size =\"18776064\"]\n  9 [size=\"88213504\", alpha=\"0.15\", expect_size=\"44106752\"] \n  9 -> 12 [size =\"44106752\"]\n  9 -> 13 [size =\"44106752\"]\n  9 -> 18 [size =\"44106752\"]\n  9 -> 21 [size =\"44106752\"]\n  9 -> 22 [size =\"44106752\"]\n  10 [size=\"36499456\", alpha=\"0.00\", expect_size=\"18249728\"] \n  10 -> 14 [size =\"18249728\"]\n  10 -> 15 [size =\"18249728\"]\n  10 -> 17 [size =\"18249728\"]\n  10 -> 18 [size =\"18249728\"]\n  10 -> 19 [size =\"18249728\"]\n  10 -> 21 [size =\"18249728\"]\n  10 -> 22 [size =\"18249728\"]\n  11 [size=\"30349312\", alpha=\"0.12\", expect_size=\"15174656\"] \n  11 -> 13 [size =\"15174656\"]\n  11 -> 15 [size =\"15174656\"]\n  11 -> 18 [size =\"15174656\"]\n  12 [size=\"12599296\", alpha=\"0.05\", expect_size=\"6299648\"] \n  12 -> 24 [size =\"6299648\"]\n  12 -> 26 [size =\"6299648\"]\n  12 -> 26 [size =\"6299648\"]\n  12 -> 27 [size =\"6299648\"]\n  12 -> 28 [size =\"6299648\"]\n  12 -> 30 [size =\"6299648\"]\n  12 -> 32 [size =\"6299648\"]\n  13 [size=\"71614464\", alpha=\"0.05\", expect_size=\"35807232\"] \n  13 -> 25 [size =\"35807232\"]\n  13 -> 26 [size =\"35807232\"]\n  13 -> 27 [size =\"35807232\"]\n  13 -> 27 [size =\"35807232\"]\n  13 -> 28 [size =\"35807232\"]\n  13 -> 32 [size =\"35807232\"]\n  14 [size=\"90859520\", alpha=\"0.18\", expect_size=\"45429760\"] \n  14 -> 25 [size =\"45429760\"]\n  14 -> 26 [size =\"45429760\"]\n  14 -> 27 [size =\"45429760\"]\n  14 -> 31 [size =\"45429760\"]\n  14 -> 32 [size =\"45429760\"]\n  15 [size=\"44578816\", alpha=\"0.02\", expect_size=\"22289408\"] \n  15 -> 24 [size =\"22289408\"]\n  15 -> 25 [size =\"22289408\"]\n  15 -> 26 [size =\"22289408\"]\n  15 -> 27 [size =\"22289408\"]\n  15 -> 31 [size =\"22289408\"]\n  15 -> 32 [size =\"22289408\"]\n  16 [size=\"93577216\", alpha=\"0.04\", expect_size=\"46788608\"] \n  16 -> 23 [size =\"46788608\"]\n  16 -> 25 [size =\"46788608\"]\n  16 -> 29 [size =\"46788608\"]\n  16 -> 31 [size =\"46788608\"]\n  16 -> 32 [size =\"46788608\"]\n  17 [size=\"30814208\", alpha=\"0.20\", expect_size=\"15407104\"] \n  17 -> 25 [size =\"15407104\"]\n  17 -> 26 [size =\"15407104\"]\n  17 -> 29 [size =\"15407104\"]\n  17 -> 30 [size =\"15407104\"]\n  17 -> 31 [size =\"15407104\"]\n  18 [size=\"46194688\", alpha=\"0.04\", expect_size=\"23097344\"] \n  18 -> 24 [size =\"23097344\"]\n  18 -> 27 [size =\"23097344\"]\n  18 -> 29 [size =\"23097344\"]\n  18 -> 31 [size =\"23097344\"]\n  18 -> 32 [size =\"23097344\"]\n  19 [size=\"35420160\", alpha=\"0.15\", expect_size=\"17710080\"] \n  19 -> 29 [size =\"17710080\"]\n  19 -> 31 [size =\"17710080\"]\n  19 -> 32 [size =\"17710080\"]\n  20 [size=\"11223040\", alpha=\"0.13\", expect_size=\"5611520\"] \n  20 -> 23 [size =\"5611520\"]\n  20 -> 27 [size =\"5611520\"]\n  20 -> 31 [size =\"5611520\"]\n  21 [size=\"12701696\", alpha=\"0.10\", expect_size=\"6350848\"] \n  21 -> 25 [size =\"6350848\"]\n  21 -> 26 [size =\"6350848\"]\n  21 -> 27 [size =\"6350848\"]\n  21 -> 31 [size =\"6350848\"]\n  22 [size=\"67940352\", alpha=\"0.01\", expect_size=\"33970176\"] \n  22 -> 24 [size =\"33970176\"]\n  22 -> 25 [size =\"33970176\"]\n  22 -> 26 [size =\"33970176\"]\n  22 -> 27 [size =\"33970176\"]\n  22 -> 31 [size =\"33970176\"]\n  23 [size=\"90003456\", alpha=\"0.09\", expect_size=\"45001728\"] \n  23 -> 33 [size =\"45001728\"]\n  23 -> 34 [size =\"45001728\"]\n  23 -> 35 [size =\"45001728\"]\n  24 [size=\"20602880\", alpha=\"0.16\", expect_size=\"10301440\"] \n  24 -> 33 [size =\"10301440\"]\n  24 -> 34 [size =\"10301440\"]\n  24 -> 35 [size =\"10301440\"]\n  25 [size=\"11210752\", alpha=\"0.17\", expect_size=\"5605376\"] \n  25 -> 33 [size =\"5605376\"]\n  25 -> 34 [size =\"5605376\"]\n  25 -> 35 [size =\"5605376\"]\n  26 [size=\"19298304\", alpha=\"0.10\", expect_size=\"9649152\"] \n  26 -> 33 [size =\"9649152\"]\n  26 -> 34 [size =\"9649152\"]\n  26 -> 35 [size =\"9649152\"]\n  27 [size=\"36820992\", alpha=\"0.10\", expect_size=\"18410496\"] \n  27 -> 33 [size =\"18410496\"]\n  27 -> 34 [size =\"18410496\"]\n  27 -> 35 [size =\"18410496\"]\n  28 [size=\"36065280\", alpha=\"0.15\", expect_size=\"18032640\"] \n  28 -> 34 [size =\"18032640\"]\n  29 [size=\"57178112\", alpha=\"0.17\", expect_size=\"28589056\"] \n  29 -> 33 [size =\"28589056\"]\n  29 -> 34 [size =\"28589056\"]\n  29 -> 35 [size =\"28589056\"]\n  30 [size=\"34033664\", alpha=\"0.04\", expect_size=\"17016832\"] \n  31 [size=\"97437696\", alpha=\"0.16\", expect_size=\"48718848\"] \n  32 [size=\"49967104\", alpha=\"0.08\", expect_size=\"24983552\"] \n  32 -> 33 [size =\"24983552\"]\n  33 [size=\"55779328\", alpha=\"0.13\", expect_size=\"27889664\"] \n  34 [size=\"98854912\", alpha=\"0.15\", expect_size=\"49427456\"] \n  35 [size=\"78032896\", alpha=\"0.04\", expect_size=\"39016448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54323200\", alpha=\"0.05\", expect_size=\"16296960\"] \n  1 -> 2 [size =\"16296960\"]\n  2 [size=\"173926400\", alpha=\"0.19\", expect_size=\"52177920\"] \n  2 -> 3 [size =\"52177920\"]\n  3 [size=\"42635947\", alpha=\"0.07\", expect_size=\"12790784\"] \n  3 -> 4 [size =\"12790784\"]\n  3 -> 5 [size =\"12790784\"]\n  4 [size=\"132406613\", alpha=\"0.07\", expect_size=\"39721984\"] \n  4 -> 6 [size =\"39721984\"]\n  4 -> 7 [size =\"39721984\"]\n  5 [size=\"136942933\", alpha=\"0.12\", expect_size=\"41082880\"] \n  5 -> 6 [size =\"41082880\"]\n  5 -> 7 [size =\"41082880\"]\n  6 [size=\"103683413\", alpha=\"0.09\", expect_size=\"31105024\"] \n  6 -> 8 [size =\"31105024\"]\n  7 [size=\"103567360\", alpha=\"0.01\", expect_size=\"31070208\"] \n  7 -> 8 [size =\"31070208\"]\n  8 [size=\"169669973\", alpha=\"0.15\", expect_size=\"50900992\"] \n  8 -> 9 [size =\"50900992\"]\n  9 [size=\"74615467\", alpha=\"0.00\", expect_size=\"22384640\"] \n  9 -> 10 [size =\"22384640\"]\n  10 [size=\"63887360\", alpha=\"0.11\", expect_size=\"19166208\"] \n  10 -> 11 [size =\"19166208\"]\n  11 [size=\"159631360\", alpha=\"0.04\", expect_size=\"47889408\"] \n  11 -> 12 [size =\"47889408\"]\n  11 -> 13 [size =\"47889408\"]\n  12 [size=\"43448320\", alpha=\"0.17\", expect_size=\"13034496\"] \n  12 -> 14 [size =\"13034496\"]\n  13 [size=\"36809387\", alpha=\"0.14\", expect_size=\"11042816\"] \n  13 -> 14 [size =\"11042816\"]\n  14 [size=\"89094827\", alpha=\"0.07\", expect_size=\"26728448\"] \n  14 -> 15 [size =\"26728448\"]\n  14 -> 16 [size =\"26728448\"]\n  15 [size=\"142687573\", alpha=\"0.06\", expect_size=\"42806272\"] \n  15 -> 17 [size =\"42806272\"]\n  15 -> 18 [size =\"42806272\"]\n  16 [size=\"79271253\", alpha=\"0.12\", expect_size=\"23781376\"] \n  16 -> 18 [size =\"23781376\"]\n  17 [size=\"149684907\", alpha=\"0.19\", expect_size=\"44905472\"] \n  17 -> 19 [size =\"44905472\"]\n  18 [size=\"159528960\", alpha=\"0.08\", expect_size=\"47858688\"] \n  18 -> 19 [size =\"47858688\"]\n  19 [size=\"123600213\", alpha=\"0.05\", expect_size=\"37080064\"] \n  19 -> 20 [size =\"37080064\"]\n  19 -> 21 [size =\"37080064\"]\n  20 [size=\"125323947\", alpha=\"0.16\", expect_size=\"37597184\"] \n  21 [size=\"55074133\", alpha=\"0.12\", expect_size=\"16522240\"] \n  21 -> 22 [size =\"16522240\"]\n  22 [size=\"86135467\", alpha=\"0.08\", expect_size=\"25840640\"] \n  22 -> 23 [size =\"25840640\"]\n  23 [size=\"62201173\", alpha=\"0.07\", expect_size=\"18660352\"] \n  23 -> 24 [size =\"18660352\"]\n  23 -> 25 [size =\"18660352\"]\n  24 [size=\"173684053\", alpha=\"0.00\", expect_size=\"52105216\"] \n  24 -> 26 [size =\"52105216\"]\n  25 [size=\"70475093\", alpha=\"0.09\", expect_size=\"21142528\"] \n  25 -> 26 [size =\"21142528\"]\n  26 [size=\"118565547\", alpha=\"0.09\", expect_size=\"35569664\"] \n  26 -> 27 [size =\"35569664\"]\n  27 [size=\"57767253\", alpha=\"0.20\", expect_size=\"17330176\"] \n  27 -> 28 [size =\"17330176\"]\n  28 [size=\"49670827\", alpha=\"0.10\", expect_size=\"14901248\"] \n  28 -> 29 [size =\"14901248\"]\n  28 -> 30 [size =\"14901248\"]\n  29 [size=\"111438507\", alpha=\"0.07\", expect_size=\"33431552\"] \n  29 -> 32 [size =\"33431552\"]\n  30 [size=\"149992107\", alpha=\"0.10\", expect_size=\"44997632\"] \n  30 -> 31 [size =\"44997632\"]\n  30 -> 32 [size =\"44997632\"]\n  31 [size=\"119490560\", alpha=\"0.12\", expect_size=\"35847168\"] \n  31 -> 33 [size =\"35847168\"]\n  31 -> 34 [size =\"35847168\"]\n  32 [size=\"56780800\", alpha=\"0.16\", expect_size=\"17034240\"] \n  32 -> 33 [size =\"17034240\"]\n  32 -> 34 [size =\"17034240\"]\n  33 [size=\"118316373\", alpha=\"0.03\", expect_size=\"35494912\"] \n  33 -> 35 [size =\"35494912\"]\n  34 [size=\"171973973\", alpha=\"0.20\", expect_size=\"51592192\"] \n  34 -> 35 [size =\"51592192\"]\n  35 [size=\"18114560\", alpha=\"0.12\", expect_size=\"5434368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153712640\", alpha=\"0.07\", expect_size=\"46113792\"] \n  1 -> 8 [size =\"46113792\"]\n  2 [size=\"44765867\", alpha=\"0.13\", expect_size=\"13429760\"] \n  2 -> 7 [size =\"13429760\"]\n  2 -> 9 [size =\"13429760\"]\n  3 [size=\"32669013\", alpha=\"0.09\", expect_size=\"9800704\"] \n  3 -> 6 [size =\"9800704\"]\n  3 -> 10 [size =\"9800704\"]\n  4 [size=\"133184853\", alpha=\"0.15\", expect_size=\"39955456\"] \n  4 -> 6 [size =\"39955456\"]\n  4 -> 7 [size =\"39955456\"]\n  5 [size=\"156163413\", alpha=\"0.12\", expect_size=\"46849024\"] \n  6 [size=\"61798400\", alpha=\"0.04\", expect_size=\"18539520\"] \n  6 -> 14 [size =\"18539520\"]\n  6 -> 15 [size =\"18539520\"]\n  7 [size=\"105594880\", alpha=\"0.14\", expect_size=\"31678464\"] \n  7 -> 11 [size =\"31678464\"]\n  7 -> 15 [size =\"31678464\"]\n  8 [size=\"60573013\", alpha=\"0.11\", expect_size=\"18171904\"] \n  8 -> 12 [size =\"18171904\"]\n  8 -> 13 [size =\"18171904\"]\n  9 [size=\"144896000\", alpha=\"0.16\", expect_size=\"43468800\"] \n  9 -> 14 [size =\"43468800\"]\n  10 [size=\"167140693\", alpha=\"0.11\", expect_size=\"50142208\"] \n  10 -> 11 [size =\"50142208\"]\n  10 -> 15 [size =\"50142208\"]\n  11 [size=\"153978880\", alpha=\"0.10\", expect_size=\"46193664\"] \n  11 -> 17 [size =\"46193664\"]\n  11 -> 19 [size =\"46193664\"]\n  12 [size=\"53954560\", alpha=\"0.06\", expect_size=\"16186368\"] \n  12 -> 16 [size =\"16186368\"]\n  12 -> 19 [size =\"16186368\"]\n  13 [size=\"153105067\", alpha=\"0.03\", expect_size=\"45931520\"] \n  13 -> 16 [size =\"45931520\"]\n  13 -> 18 [size =\"45931520\"]\n  13 -> 19 [size =\"45931520\"]\n  14 [size=\"70058667\", alpha=\"0.08\", expect_size=\"21017600\"] \n  14 -> 17 [size =\"21017600\"]\n  15 [size=\"27876693\", alpha=\"0.09\", expect_size=\"8363008\"] \n  15 -> 16 [size =\"8363008\"]\n  15 -> 17 [size =\"8363008\"]\n  15 -> 18 [size =\"8363008\"]\n  16 [size=\"124514987\", alpha=\"0.10\", expect_size=\"37354496\"] \n  16 -> 21 [size =\"37354496\"]\n  16 -> 22 [size =\"37354496\"]\n  17 [size=\"154965333\", alpha=\"0.14\", expect_size=\"46489600\"] \n  17 -> 23 [size =\"46489600\"]\n  18 [size=\"104785920\", alpha=\"0.07\", expect_size=\"31435776\"] \n  19 [size=\"36147200\", alpha=\"0.01\", expect_size=\"10844160\"] \n  19 -> 20 [size =\"10844160\"]\n  19 -> 21 [size =\"10844160\"]\n  20 [size=\"158091947\", alpha=\"0.13\", expect_size=\"47427584\"] \n  20 -> 25 [size =\"47427584\"]\n  20 -> 28 [size =\"47427584\"]\n  21 [size=\"83698347\", alpha=\"0.03\", expect_size=\"25109504\"] \n  21 -> 24 [size =\"25109504\"]\n  21 -> 25 [size =\"25109504\"]\n  22 [size=\"160119467\", alpha=\"0.16\", expect_size=\"48035840\"] \n  22 -> 24 [size =\"48035840\"]\n  22 -> 26 [size =\"48035840\"]\n  23 [size=\"48261120\", alpha=\"0.11\", expect_size=\"14478336\"] \n  23 -> 24 [size =\"14478336\"]\n  23 -> 25 [size =\"14478336\"]\n  23 -> 27 [size =\"14478336\"]\n  24 [size=\"68642133\", alpha=\"0.01\", expect_size=\"20592640\"] \n  24 -> 31 [size =\"20592640\"]\n  24 -> 32 [size =\"20592640\"]\n  25 [size=\"133601280\", alpha=\"0.09\", expect_size=\"40080384\"] \n  26 [size=\"47837867\", alpha=\"0.02\", expect_size=\"14351360\"] \n  26 -> 29 [size =\"14351360\"]\n  26 -> 33 [size =\"14351360\"]\n  27 [size=\"130269867\", alpha=\"0.06\", expect_size=\"39080960\"] \n  27 -> 29 [size =\"39080960\"]\n  27 -> 30 [size =\"39080960\"]\n  28 [size=\"79592107\", alpha=\"0.16\", expect_size=\"23877632\"] \n  28 -> 29 [size =\"23877632\"]\n  28 -> 31 [size =\"23877632\"]\n  29 [size=\"137594880\", alpha=\"0.02\", expect_size=\"41278464\"] \n  29 -> 34 [size =\"41278464\"]\n  30 [size=\"143766187\", alpha=\"0.07\", expect_size=\"43129856\"] \n  31 [size=\"90132480\", alpha=\"0.09\", expect_size=\"27039744\"] \n  32 [size=\"112933547\", alpha=\"0.16\", expect_size=\"33880064\"] \n  32 -> 35 [size =\"33880064\"]\n  33 [size=\"82169173\", alpha=\"0.00\", expect_size=\"24650752\"] \n  33 -> 35 [size =\"24650752\"]\n  34 [size=\"170325333\", alpha=\"0.11\", expect_size=\"51097600\"] \n  35 [size=\"21244587\", alpha=\"0.04\", expect_size=\"6373376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23541760\", alpha=\"0.18\", expect_size=\"7062528\"] \n  1 -> 3 [size =\"7062528\"]\n  2 [size=\"82858667\", alpha=\"0.05\", expect_size=\"24857600\"] \n  2 -> 3 [size =\"24857600\"]\n  3 [size=\"95972693\", alpha=\"0.05\", expect_size=\"28791808\"] \n  3 -> 4 [size =\"28791808\"]\n  4 [size=\"157204480\", alpha=\"0.05\", expect_size=\"47161344\"] \n  4 -> 5 [size =\"47161344\"]\n  5 [size=\"74673493\", alpha=\"0.13\", expect_size=\"22402048\"] \n  5 -> 6 [size =\"22402048\"]\n  6 [size=\"152558933\", alpha=\"0.08\", expect_size=\"45767680\"] \n  6 -> 7 [size =\"45767680\"]\n  7 [size=\"164737707\", alpha=\"0.04\", expect_size=\"49421312\"] \n  7 -> 8 [size =\"49421312\"]\n  8 [size=\"127221760\", alpha=\"0.15\", expect_size=\"38166528\"] \n  8 -> 9 [size =\"38166528\"]\n  9 [size=\"130908160\", alpha=\"0.16\", expect_size=\"39272448\"] \n  9 -> 10 [size =\"39272448\"]\n  10 [size=\"134147413\", alpha=\"0.19\", expect_size=\"40244224\"] \n  10 -> 11 [size =\"40244224\"]\n  11 [size=\"130355200\", alpha=\"0.06\", expect_size=\"39106560\"] \n  11 -> 12 [size =\"39106560\"]\n  12 [size=\"114196480\", alpha=\"0.05\", expect_size=\"34258944\"] \n  12 -> 13 [size =\"34258944\"]\n  13 [size=\"154914133\", alpha=\"0.12\", expect_size=\"46474240\"] \n  13 -> 14 [size =\"46474240\"]\n  14 [size=\"39724373\", alpha=\"0.07\", expect_size=\"11917312\"] \n  14 -> 15 [size =\"11917312\"]\n  14 -> 16 [size =\"11917312\"]\n  15 [size=\"82677760\", alpha=\"0.05\", expect_size=\"24803328\"] \n  16 [size=\"28416000\", alpha=\"0.06\", expect_size=\"8524800\"] \n  16 -> 17 [size =\"8524800\"]\n  17 [size=\"89384960\", alpha=\"0.11\", expect_size=\"26815488\"] \n  17 -> 18 [size =\"26815488\"]\n  18 [size=\"124180480\", alpha=\"0.20\", expect_size=\"37254144\"] \n  18 -> 19 [size =\"37254144\"]\n  18 -> 20 [size =\"37254144\"]\n  19 [size=\"88746667\", alpha=\"0.01\", expect_size=\"26624000\"] \n  19 -> 21 [size =\"26624000\"]\n  19 -> 22 [size =\"26624000\"]\n  20 [size=\"56077653\", alpha=\"0.13\", expect_size=\"16823296\"] \n  20 -> 21 [size =\"16823296\"]\n  21 [size=\"46865067\", alpha=\"0.06\", expect_size=\"14059520\"] \n  22 [size=\"94617600\", alpha=\"0.07\", expect_size=\"28385280\"] \n  22 -> 23 [size =\"28385280\"]\n  23 [size=\"136154453\", alpha=\"0.19\", expect_size=\"40846336\"] \n  23 -> 24 [size =\"40846336\"]\n  23 -> 25 [size =\"40846336\"]\n  24 [size=\"69335040\", alpha=\"0.08\", expect_size=\"20800512\"] \n  24 -> 26 [size =\"20800512\"]\n  25 [size=\"125699413\", alpha=\"0.04\", expect_size=\"37709824\"] \n  25 -> 26 [size =\"37709824\"]\n  26 [size=\"167802880\", alpha=\"0.17\", expect_size=\"50340864\"] \n  26 -> 27 [size =\"50340864\"]\n  26 -> 28 [size =\"50340864\"]\n  27 [size=\"54575787\", alpha=\"0.09\", expect_size=\"16372736\"] \n  27 -> 29 [size =\"16372736\"]\n  28 [size=\"141011627\", alpha=\"0.15\", expect_size=\"42303488\"] \n  29 [size=\"138683733\", alpha=\"0.16\", expect_size=\"41605120\"] \n  29 -> 30 [size =\"41605120\"]\n  30 [size=\"149183147\", alpha=\"0.11\", expect_size=\"44754944\"] \n  30 -> 31 [size =\"44754944\"]\n  30 -> 32 [size =\"44754944\"]\n  31 [size=\"97553067\", alpha=\"0.01\", expect_size=\"29265920\"] \n  31 -> 33 [size =\"29265920\"]\n  32 [size=\"147148800\", alpha=\"0.03\", expect_size=\"44144640\"] \n  33 [size=\"48773120\", alpha=\"0.02\", expect_size=\"14631936\"] \n  33 -> 34 [size =\"14631936\"]\n  33 -> 35 [size =\"14631936\"]\n  34 [size=\"38219093\", alpha=\"0.05\", expect_size=\"11465728\"] \n  35 [size=\"97925120\", alpha=\"0.15\", expect_size=\"29377536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126068053\", alpha=\"0.08\", expect_size=\"37820416\"] \n  1 -> 22 [size =\"37820416\"]\n  1 -> 24 [size =\"37820416\"]\n  1 -> 25 [size =\"37820416\"]\n  1 -> 26 [size =\"37820416\"]\n  1 -> 28 [size =\"37820416\"]\n  1 -> 29 [size =\"37820416\"]\n  1 -> 34 [size =\"37820416\"]\n  1 -> 35 [size =\"37820416\"]\n  2 [size=\"69867520\", alpha=\"0.12\", expect_size=\"20960256\"] \n  2 -> 24 [size =\"20960256\"]\n  2 -> 25 [size =\"20960256\"]\n  2 -> 26 [size =\"20960256\"]\n  2 -> 28 [size =\"20960256\"]\n  2 -> 29 [size =\"20960256\"]\n  2 -> 29 [size =\"20960256\"]\n  2 -> 31 [size =\"20960256\"]\n  2 -> 35 [size =\"20960256\"]\n  3 [size=\"31453867\", alpha=\"0.18\", expect_size=\"9436160\"] \n  3 -> 22 [size =\"9436160\"]\n  3 -> 25 [size =\"9436160\"]\n  3 -> 28 [size =\"9436160\"]\n  3 -> 29 [size =\"9436160\"]\n  3 -> 31 [size =\"9436160\"]\n  3 -> 33 [size =\"9436160\"]\n  4 [size=\"68136960\", alpha=\"0.17\", expect_size=\"20441088\"] \n  4 -> 23 [size =\"20441088\"]\n  4 -> 24 [size =\"20441088\"]\n  4 -> 27 [size =\"20441088\"]\n  4 -> 28 [size =\"20441088\"]\n  4 -> 29 [size =\"20441088\"]\n  4 -> 31 [size =\"20441088\"]\n  4 -> 32 [size =\"20441088\"]\n  4 -> 34 [size =\"20441088\"]\n  5 [size=\"27600213\", alpha=\"0.04\", expect_size=\"8280064\"] \n  5 -> 22 [size =\"8280064\"]\n  5 -> 24 [size =\"8280064\"]\n  5 -> 26 [size =\"8280064\"]\n  5 -> 28 [size =\"8280064\"]\n  5 -> 29 [size =\"8280064\"]\n  5 -> 30 [size =\"8280064\"]\n  5 -> 31 [size =\"8280064\"]\n  5 -> 34 [size =\"8280064\"]\n  5 -> 35 [size =\"8280064\"]\n  6 [size=\"142434987\", alpha=\"0.18\", expect_size=\"42730496\"] \n  6 -> 26 [size =\"42730496\"]\n  6 -> 28 [size =\"42730496\"]\n  6 -> 31 [size =\"42730496\"]\n  6 -> 34 [size =\"42730496\"]\n  7 [size=\"123395413\", alpha=\"0.09\", expect_size=\"37018624\"] \n  7 -> 26 [size =\"37018624\"]\n  7 -> 28 [size =\"37018624\"]\n  7 -> 29 [size =\"37018624\"]\n  7 -> 34 [size =\"37018624\"]\n  7 -> 35 [size =\"37018624\"]\n  8 [size=\"59787947\", alpha=\"0.02\", expect_size=\"17936384\"] \n  8 -> 23 [size =\"17936384\"]\n  8 -> 24 [size =\"17936384\"]\n  8 -> 25 [size =\"17936384\"]\n  8 -> 28 [size =\"17936384\"]\n  8 -> 29 [size =\"17936384\"]\n  8 -> 31 [size =\"17936384\"]\n  8 -> 32 [size =\"17936384\"]\n  8 -> 34 [size =\"17936384\"]\n  8 -> 35 [size =\"17936384\"]\n  9 [size=\"159447040\", alpha=\"0.11\", expect_size=\"47834112\"] \n  9 -> 23 [size =\"47834112\"]\n  9 -> 24 [size =\"47834112\"]\n  9 -> 25 [size =\"47834112\"]\n  9 -> 26 [size =\"47834112\"]\n  9 -> 28 [size =\"47834112\"]\n  9 -> 29 [size =\"47834112\"]\n  9 -> 30 [size =\"47834112\"]\n  9 -> 31 [size =\"47834112\"]\n  9 -> 35 [size =\"47834112\"]\n  10 [size=\"22719147\", alpha=\"0.17\", expect_size=\"6815744\"] \n  10 -> 23 [size =\"6815744\"]\n  10 -> 24 [size =\"6815744\"]\n  10 -> 25 [size =\"6815744\"]\n  10 -> 27 [size =\"6815744\"]\n  10 -> 30 [size =\"6815744\"]\n  10 -> 32 [size =\"6815744\"]\n  10 -> 34 [size =\"6815744\"]\n  10 -> 35 [size =\"6815744\"]\n  11 [size=\"131106133\", alpha=\"0.07\", expect_size=\"39331840\"] \n  11 -> 23 [size =\"39331840\"]\n  11 -> 24 [size =\"39331840\"]\n  11 -> 25 [size =\"39331840\"]\n  11 -> 26 [size =\"39331840\"]\n  11 -> 28 [size =\"39331840\"]\n  11 -> 31 [size =\"39331840\"]\n  11 -> 34 [size =\"39331840\"]\n  12 [size=\"33317547\", alpha=\"0.01\", expect_size=\"9995264\"] \n  12 -> 23 [size =\"9995264\"]\n  12 -> 24 [size =\"9995264\"]\n  12 -> 25 [size =\"9995264\"]\n  12 -> 28 [size =\"9995264\"]\n  12 -> 34 [size =\"9995264\"]\n  12 -> 35 [size =\"9995264\"]\n  13 [size=\"127245653\", alpha=\"0.07\", expect_size=\"38173696\"] \n  13 -> 22 [size =\"38173696\"]\n  13 -> 23 [size =\"38173696\"]\n  13 -> 24 [size =\"38173696\"]\n  13 -> 25 [size =\"38173696\"]\n  13 -> 28 [size =\"38173696\"]\n  13 -> 30 [size =\"38173696\"]\n  13 -> 35 [size =\"38173696\"]\n  14 [size=\"111947093\", alpha=\"0.05\", expect_size=\"33584128\"] \n  14 -> 22 [size =\"33584128\"]\n  14 -> 23 [size =\"33584128\"]\n  14 -> 24 [size =\"33584128\"]\n  14 -> 25 [size =\"33584128\"]\n  14 -> 26 [size =\"33584128\"]\n  14 -> 28 [size =\"33584128\"]\n  14 -> 31 [size =\"33584128\"]\n  14 -> 34 [size =\"33584128\"]\n  15 [size=\"86507520\", alpha=\"0.09\", expect_size=\"25952256\"] \n  15 -> 22 [size =\"25952256\"]\n  15 -> 23 [size =\"25952256\"]\n  15 -> 24 [size =\"25952256\"]\n  15 -> 25 [size =\"25952256\"]\n  15 -> 27 [size =\"25952256\"]\n  15 -> 29 [size =\"25952256\"]\n  16 [size=\"117838507\", alpha=\"0.10\", expect_size=\"35351552\"] \n  16 -> 23 [size =\"35351552\"]\n  16 -> 25 [size =\"35351552\"]\n  16 -> 26 [size =\"35351552\"]\n  16 -> 28 [size =\"35351552\"]\n  16 -> 29 [size =\"35351552\"]\n  16 -> 32 [size =\"35351552\"]\n  17 [size=\"98949120\", alpha=\"0.05\", expect_size=\"29684736\"] \n  17 -> 22 [size =\"29684736\"]\n  17 -> 24 [size =\"29684736\"]\n  17 -> 25 [size =\"29684736\"]\n  17 -> 26 [size =\"29684736\"]\n  17 -> 28 [size =\"29684736\"]\n  17 -> 29 [size =\"29684736\"]\n  17 -> 34 [size =\"29684736\"]\n  17 -> 35 [size =\"29684736\"]\n  18 [size=\"166007467\", alpha=\"0.05\", expect_size=\"49802240\"] \n  18 -> 24 [size =\"49802240\"]\n  18 -> 25 [size =\"49802240\"]\n  18 -> 25 [size =\"49802240\"]\n  18 -> 28 [size =\"49802240\"]\n  18 -> 28 [size =\"49802240\"]\n  18 -> 34 [size =\"49802240\"]\n  18 -> 35 [size =\"49802240\"]\n  19 [size=\"26231467\", alpha=\"0.13\", expect_size=\"7869440\"] \n  19 -> 22 [size =\"7869440\"]\n  19 -> 24 [size =\"7869440\"]\n  19 -> 25 [size =\"7869440\"]\n  19 -> 26 [size =\"7869440\"]\n  19 -> 34 [size =\"7869440\"]\n  20 [size=\"112954027\", alpha=\"0.17\", expect_size=\"33886208\"] \n  20 -> 22 [size =\"33886208\"]\n  20 -> 24 [size =\"33886208\"]\n  20 -> 25 [size =\"33886208\"]\n  20 -> 26 [size =\"33886208\"]\n  20 -> 29 [size =\"33886208\"]\n  20 -> 31 [size =\"33886208\"]\n  20 -> 34 [size =\"33886208\"]\n  20 -> 35 [size =\"33886208\"]\n  21 [size=\"92050773\", alpha=\"0.13\", expect_size=\"27615232\"] \n  21 -> 22 [size =\"27615232\"]\n  21 -> 24 [size =\"27615232\"]\n  21 -> 25 [size =\"27615232\"]\n  21 -> 26 [size =\"27615232\"]\n  21 -> 28 [size =\"27615232\"]\n  21 -> 29 [size =\"27615232\"]\n  21 -> 32 [size =\"27615232\"]\n  21 -> 34 [size =\"27615232\"]\n  21 -> 35 [size =\"27615232\"]\n  22 [size=\"148469760\", alpha=\"0.17\", expect_size=\"44540928\"] \n  23 [size=\"156938240\", alpha=\"0.02\", expect_size=\"47081472\"] \n  24 [size=\"54811307\", alpha=\"0.14\", expect_size=\"16443392\"] \n  25 [size=\"95402667\", alpha=\"0.07\", expect_size=\"28620800\"] \n  26 [size=\"164058453\", alpha=\"0.16\", expect_size=\"49217536\"] \n  27 [size=\"84172800\", alpha=\"0.19\", expect_size=\"25251840\"] \n  28 [size=\"123518293\", alpha=\"0.07\", expect_size=\"37055488\"] \n  29 [size=\"160884053\", alpha=\"0.12\", expect_size=\"48265216\"] \n  30 [size=\"109475840\", alpha=\"0.19\", expect_size=\"32842752\"] \n  31 [size=\"82493440\", alpha=\"0.20\", expect_size=\"24748032\"] \n  32 [size=\"31242240\", alpha=\"0.03\", expect_size=\"9372672\"] \n  33 [size=\"165399893\", alpha=\"0.20\", expect_size=\"49619968\"] \n  34 [size=\"27088213\", alpha=\"0.09\", expect_size=\"8126464\"] \n  35 [size=\"138827093\", alpha=\"0.07\", expect_size=\"41648128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67888640\", alpha=\"0.13\", expect_size=\"27155456\"] \n  1 -> 6 [size =\"27155456\"]\n  1 -> 7 [size =\"27155456\"]\n  2 [size=\"96624640\", alpha=\"0.01\", expect_size=\"38649856\"] \n  2 -> 6 [size =\"38649856\"]\n  2 -> 8 [size =\"38649856\"]\n  3 [size=\"24366080\", alpha=\"0.16\", expect_size=\"9746432\"] \n  3 -> 6 [size =\"9746432\"]\n  4 [size=\"64967680\", alpha=\"0.06\", expect_size=\"25987072\"] \n  5 [size=\"115031040\", alpha=\"0.00\", expect_size=\"46012416\"] \n  5 -> 6 [size =\"46012416\"]\n  6 [size=\"124464640\", alpha=\"0.16\", expect_size=\"49785856\"] \n  6 -> 9 [size =\"49785856\"]\n  6 -> 12 [size =\"49785856\"]\n  7 [size=\"110305280\", alpha=\"0.13\", expect_size=\"44122112\"] \n  7 -> 9 [size =\"44122112\"]\n  7 -> 12 [size =\"44122112\"]\n  8 [size=\"117473280\", alpha=\"0.14\", expect_size=\"46989312\"] \n  8 -> 9 [size =\"46989312\"]\n  8 -> 10 [size =\"46989312\"]\n  8 -> 11 [size =\"46989312\"]\n  9 [size=\"34403840\", alpha=\"0.19\", expect_size=\"13761536\"] \n  9 -> 14 [size =\"13761536\"]\n  10 [size=\"125824000\", alpha=\"0.02\", expect_size=\"50329600\"] \n  10 -> 13 [size =\"50329600\"]\n  10 -> 15 [size =\"50329600\"]\n  11 [size=\"90465280\", alpha=\"0.01\", expect_size=\"36186112\"] \n  11 -> 14 [size =\"36186112\"]\n  11 -> 15 [size =\"36186112\"]\n  12 [size=\"48768000\", alpha=\"0.20\", expect_size=\"19507200\"] \n  12 -> 13 [size =\"19507200\"]\n  12 -> 14 [size =\"19507200\"]\n  13 [size=\"54487040\", alpha=\"0.11\", expect_size=\"21794816\"] \n  13 -> 16 [size =\"21794816\"]\n  13 -> 18 [size =\"21794816\"]\n  14 [size=\"33748480\", alpha=\"0.15\", expect_size=\"13499392\"] \n  14 -> 16 [size =\"13499392\"]\n  14 -> 17 [size =\"13499392\"]\n  14 -> 19 [size =\"13499392\"]\n  15 [size=\"71454720\", alpha=\"0.11\", expect_size=\"28581888\"] \n  15 -> 16 [size =\"28581888\"]\n  16 [size=\"72998400\", alpha=\"0.13\", expect_size=\"29199360\"] \n  16 -> 22 [size =\"29199360\"]\n  16 -> 24 [size =\"29199360\"]\n  17 [size=\"52277760\", alpha=\"0.17\", expect_size=\"20911104\"] \n  17 -> 20 [size =\"20911104\"]\n  17 -> 21 [size =\"20911104\"]\n  17 -> 22 [size =\"20911104\"]\n  17 -> 23 [size =\"20911104\"]\n  17 -> 24 [size =\"20911104\"]\n  18 [size=\"130549760\", alpha=\"0.13\", expect_size=\"52219904\"] \n  18 -> 22 [size =\"52219904\"]\n  18 -> 23 [size =\"52219904\"]\n  18 -> 24 [size =\"52219904\"]\n  19 [size=\"92689920\", alpha=\"0.11\", expect_size=\"37075968\"] \n  19 -> 23 [size =\"37075968\"]\n  19 -> 24 [size =\"37075968\"]\n  20 [size=\"83909120\", alpha=\"0.17\", expect_size=\"33563648\"] \n  20 -> 27 [size =\"33563648\"]\n  21 [size=\"97223680\", alpha=\"0.12\", expect_size=\"38889472\"] \n  21 -> 25 [size =\"38889472\"]\n  22 [size=\"101283840\", alpha=\"0.02\", expect_size=\"40513536\"] \n  22 -> 25 [size =\"40513536\"]\n  22 -> 26 [size =\"40513536\"]\n  23 [size=\"98437120\", alpha=\"0.14\", expect_size=\"39374848\"] \n  23 -> 25 [size =\"39374848\"]\n  23 -> 27 [size =\"39374848\"]\n  23 -> 28 [size =\"39374848\"]\n  24 [size=\"43888640\", alpha=\"0.14\", expect_size=\"17555456\"] \n  25 [size=\"13222400\", alpha=\"0.12\", expect_size=\"5288960\"] \n  25 -> 29 [size =\"5288960\"]\n  25 -> 30 [size =\"5288960\"]\n  25 -> 32 [size =\"5288960\"]\n  26 [size=\"80506880\", alpha=\"0.08\", expect_size=\"32202752\"] \n  26 -> 30 [size =\"32202752\"]\n  26 -> 32 [size =\"32202752\"]\n  27 [size=\"37798400\", alpha=\"0.01\", expect_size=\"15119360\"] \n  27 -> 30 [size =\"15119360\"]\n  27 -> 31 [size =\"15119360\"]\n  27 -> 32 [size =\"15119360\"]\n  28 [size=\"22607360\", alpha=\"0.12\", expect_size=\"9042944\"] \n  28 -> 30 [size =\"9042944\"]\n  28 -> 31 [size =\"9042944\"]\n  28 -> 32 [size =\"9042944\"]\n  29 [size=\"97612800\", alpha=\"0.06\", expect_size=\"39045120\"] \n  29 -> 33 [size =\"39045120\"]\n  30 [size=\"42283520\", alpha=\"0.20\", expect_size=\"16913408\"] \n  30 -> 34 [size =\"16913408\"]\n  31 [size=\"23618560\", alpha=\"0.06\", expect_size=\"9447424\"] \n  31 -> 33 [size =\"9447424\"]\n  31 -> 34 [size =\"9447424\"]\n  31 -> 35 [size =\"9447424\"]\n  32 [size=\"96399360\", alpha=\"0.19\", expect_size=\"38559744\"] \n  32 -> 33 [size =\"38559744\"]\n  32 -> 34 [size =\"38559744\"]\n  33 [size=\"108213760\", alpha=\"0.18\", expect_size=\"43285504\"] \n  34 [size=\"70328320\", alpha=\"0.01\", expect_size=\"28131328\"] \n  35 [size=\"34600960\", alpha=\"0.14\", expect_size=\"13840384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119592960\", alpha=\"0.15\", expect_size=\"47837184\"] \n  1 -> 7 [size =\"47837184\"]\n  1 -> 10 [size =\"47837184\"]\n  2 [size=\"112414720\", alpha=\"0.16\", expect_size=\"44965888\"] \n  2 -> 6 [size =\"44965888\"]\n  2 -> 7 [size =\"44965888\"]\n  3 [size=\"59550720\", alpha=\"0.13\", expect_size=\"23820288\"] \n  3 -> 9 [size =\"23820288\"]\n  4 [size=\"92231680\", alpha=\"0.09\", expect_size=\"36892672\"] \n  4 -> 6 [size =\"36892672\"]\n  4 -> 8 [size =\"36892672\"]\n  4 -> 9 [size =\"36892672\"]\n  5 [size=\"79567360\", alpha=\"0.15\", expect_size=\"31826944\"] \n  5 -> 10 [size =\"31826944\"]\n  6 [size=\"24212480\", alpha=\"0.03\", expect_size=\"9684992\"] \n  6 -> 11 [size =\"9684992\"]\n  6 -> 12 [size =\"9684992\"]\n  7 [size=\"104161280\", alpha=\"0.10\", expect_size=\"41664512\"] \n  7 -> 12 [size =\"41664512\"]\n  7 -> 13 [size =\"41664512\"]\n  7 -> 15 [size =\"41664512\"]\n  8 [size=\"67668480\", alpha=\"0.05\", expect_size=\"27067392\"] \n  8 -> 11 [size =\"27067392\"]\n  8 -> 12 [size =\"27067392\"]\n  8 -> 14 [size =\"27067392\"]\n  8 -> 15 [size =\"27067392\"]\n  9 [size=\"42160640\", alpha=\"0.08\", expect_size=\"16864256\"] \n  9 -> 11 [size =\"16864256\"]\n  9 -> 13 [size =\"16864256\"]\n  9 -> 15 [size =\"16864256\"]\n  9 -> 15 [size =\"16864256\"]\n  10 [size=\"84354560\", alpha=\"0.14\", expect_size=\"33741824\"] \n  10 -> 11 [size =\"33741824\"]\n  10 -> 12 [size =\"33741824\"]\n  10 -> 13 [size =\"33741824\"]\n  10 -> 14 [size =\"33741824\"]\n  11 [size=\"50270720\", alpha=\"0.12\", expect_size=\"20108288\"] \n  11 -> 16 [size =\"20108288\"]\n  11 -> 17 [size =\"20108288\"]\n  12 [size=\"21045760\", alpha=\"0.01\", expect_size=\"8418304\"] \n  12 -> 16 [size =\"8418304\"]\n  13 [size=\"113932800\", alpha=\"0.07\", expect_size=\"45573120\"] \n  13 -> 17 [size =\"45573120\"]\n  13 -> 18 [size =\"45573120\"]\n  13 -> 19 [size =\"45573120\"]\n  14 [size=\"71567360\", alpha=\"0.02\", expect_size=\"28626944\"] \n  14 -> 19 [size =\"28626944\"]\n  15 [size=\"123453440\", alpha=\"0.02\", expect_size=\"49381376\"] \n  15 -> 17 [size =\"49381376\"]\n  16 [size=\"94366720\", alpha=\"0.10\", expect_size=\"37746688\"] \n  16 -> 20 [size =\"37746688\"]\n  16 -> 23 [size =\"37746688\"]\n  17 [size=\"109352960\", alpha=\"0.03\", expect_size=\"43741184\"] \n  17 -> 20 [size =\"43741184\"]\n  17 -> 22 [size =\"43741184\"]\n  18 [size=\"48092160\", alpha=\"0.05\", expect_size=\"19236864\"] \n  18 -> 20 [size =\"19236864\"]\n  18 -> 21 [size =\"19236864\"]\n  18 -> 22 [size =\"19236864\"]\n  18 -> 23 [size =\"19236864\"]\n  19 [size=\"77621760\", alpha=\"0.01\", expect_size=\"31048704\"] \n  19 -> 21 [size =\"31048704\"]\n  19 -> 23 [size =\"31048704\"]\n  20 [size=\"127162880\", alpha=\"0.08\", expect_size=\"50865152\"] \n  20 -> 25 [size =\"50865152\"]\n  20 -> 27 [size =\"50865152\"]\n  21 [size=\"92316160\", alpha=\"0.13\", expect_size=\"36926464\"] \n  21 -> 24 [size =\"36926464\"]\n  21 -> 25 [size =\"36926464\"]\n  22 [size=\"46850560\", alpha=\"0.15\", expect_size=\"18740224\"] \n  22 -> 26 [size =\"18740224\"]\n  22 -> 27 [size =\"18740224\"]\n  22 -> 28 [size =\"18740224\"]\n  23 [size=\"51624960\", alpha=\"0.04\", expect_size=\"20649984\"] \n  23 -> 24 [size =\"20649984\"]\n  23 -> 25 [size =\"20649984\"]\n  23 -> 26 [size =\"20649984\"]\n  24 [size=\"95109120\", alpha=\"0.07\", expect_size=\"38043648\"] \n  24 -> 29 [size =\"38043648\"]\n  24 -> 30 [size =\"38043648\"]\n  25 [size=\"108236800\", alpha=\"0.01\", expect_size=\"43294720\"] \n  25 -> 30 [size =\"43294720\"]\n  25 -> 32 [size =\"43294720\"]\n  26 [size=\"118510080\", alpha=\"0.18\", expect_size=\"47404032\"] \n  26 -> 31 [size =\"47404032\"]\n  26 -> 32 [size =\"47404032\"]\n  27 [size=\"61222400\", alpha=\"0.09\", expect_size=\"24488960\"] \n  27 -> 29 [size =\"24488960\"]\n  27 -> 32 [size =\"24488960\"]\n  28 [size=\"79121920\", alpha=\"0.10\", expect_size=\"31648768\"] \n  28 -> 30 [size =\"31648768\"]\n  29 [size=\"109084160\", alpha=\"0.16\", expect_size=\"43633664\"] \n  29 -> 33 [size =\"43633664\"]\n  30 [size=\"117117440\", alpha=\"0.14\", expect_size=\"46846976\"] \n  30 -> 35 [size =\"46846976\"]\n  31 [size=\"47267840\", alpha=\"0.18\", expect_size=\"18907136\"] \n  32 [size=\"123983360\", alpha=\"0.03\", expect_size=\"49593344\"] \n  32 -> 34 [size =\"49593344\"]\n  32 -> 35 [size =\"49593344\"]\n  33 [size=\"92682240\", alpha=\"0.06\", expect_size=\"37072896\"] \n  34 [size=\"117770240\", alpha=\"0.18\", expect_size=\"47108096\"] \n  35 [size=\"42447360\", alpha=\"0.09\", expect_size=\"16978944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17164800\", alpha=\"0.14\", expect_size=\"6865920\"] \n  1 -> 2 [size =\"6865920\"]\n  2 [size=\"122618880\", alpha=\"0.03\", expect_size=\"49047552\"] \n  2 -> 3 [size =\"49047552\"]\n  3 [size=\"34181120\", alpha=\"0.11\", expect_size=\"13672448\"] \n  3 -> 4 [size =\"13672448\"]\n  3 -> 5 [size =\"13672448\"]\n  4 [size=\"125404160\", alpha=\"0.15\", expect_size=\"50161664\"] \n  4 -> 6 [size =\"50161664\"]\n  4 -> 7 [size =\"50161664\"]\n  5 [size=\"24046080\", alpha=\"0.01\", expect_size=\"9618432\"] \n  5 -> 7 [size =\"9618432\"]\n  6 [size=\"40248320\", alpha=\"0.01\", expect_size=\"16099328\"] \n  6 -> 8 [size =\"16099328\"]\n  7 [size=\"100986880\", alpha=\"0.11\", expect_size=\"40394752\"] \n  7 -> 8 [size =\"40394752\"]\n  8 [size=\"44334080\", alpha=\"0.09\", expect_size=\"17733632\"] \n  8 -> 9 [size =\"17733632\"]\n  9 [size=\"83502080\", alpha=\"0.08\", expect_size=\"33400832\"] \n  9 -> 10 [size =\"33400832\"]\n  10 [size=\"22097920\", alpha=\"0.13\", expect_size=\"8839168\"] \n  10 -> 11 [size =\"8839168\"]\n  11 [size=\"70625280\", alpha=\"0.08\", expect_size=\"28250112\"] \n  11 -> 12 [size =\"28250112\"]\n  12 [size=\"38118400\", alpha=\"0.14\", expect_size=\"15247360\"] \n  12 -> 13 [size =\"15247360\"]\n  12 -> 14 [size =\"15247360\"]\n  13 [size=\"53184000\", alpha=\"0.07\", expect_size=\"21273600\"] \n  13 -> 15 [size =\"21273600\"]\n  13 -> 16 [size =\"21273600\"]\n  14 [size=\"115758080\", alpha=\"0.12\", expect_size=\"46303232\"] \n  15 [size=\"86138880\", alpha=\"0.03\", expect_size=\"34455552\"] \n  15 -> 18 [size =\"34455552\"]\n  16 [size=\"93488640\", alpha=\"0.12\", expect_size=\"37395456\"] \n  16 -> 17 [size =\"37395456\"]\n  16 -> 18 [size =\"37395456\"]\n  17 [size=\"97630720\", alpha=\"0.03\", expect_size=\"39052288\"] \n  17 -> 19 [size =\"39052288\"]\n  18 [size=\"46868480\", alpha=\"0.02\", expect_size=\"18747392\"] \n  18 -> 19 [size =\"18747392\"]\n  19 [size=\"97100800\", alpha=\"0.12\", expect_size=\"38840320\"] \n  19 -> 20 [size =\"38840320\"]\n  19 -> 21 [size =\"38840320\"]\n  20 [size=\"25635840\", alpha=\"0.07\", expect_size=\"10254336\"] \n  20 -> 22 [size =\"10254336\"]\n  20 -> 23 [size =\"10254336\"]\n  21 [size=\"102817280\", alpha=\"0.02\", expect_size=\"41126912\"] \n  21 -> 22 [size =\"41126912\"]\n  21 -> 23 [size =\"41126912\"]\n  22 [size=\"32491520\", alpha=\"0.16\", expect_size=\"12996608\"] \n  23 [size=\"115281920\", alpha=\"0.13\", expect_size=\"46112768\"] \n  23 -> 24 [size =\"46112768\"]\n  24 [size=\"37770240\", alpha=\"0.10\", expect_size=\"15108096\"] \n  24 -> 25 [size =\"15108096\"]\n  24 -> 26 [size =\"15108096\"]\n  25 [size=\"108592640\", alpha=\"0.08\", expect_size=\"43437056\"] \n  25 -> 27 [size =\"43437056\"]\n  26 [size=\"124794880\", alpha=\"0.11\", expect_size=\"49917952\"] \n  27 [size=\"79680000\", alpha=\"0.09\", expect_size=\"31872000\"] \n  27 -> 28 [size =\"31872000\"]\n  27 -> 29 [size =\"31872000\"]\n  28 [size=\"96924160\", alpha=\"0.12\", expect_size=\"38769664\"] \n  28 -> 30 [size =\"38769664\"]\n  28 -> 31 [size =\"38769664\"]\n  29 [size=\"109199360\", alpha=\"0.07\", expect_size=\"43679744\"] \n  30 [size=\"61237760\", alpha=\"0.04\", expect_size=\"24495104\"] \n  31 [size=\"99622400\", alpha=\"0.10\", expect_size=\"39848960\"] \n  31 -> 32 [size =\"39848960\"]\n  32 [size=\"110448640\", alpha=\"0.01\", expect_size=\"44179456\"] \n  32 -> 33 [size =\"44179456\"]\n  33 [size=\"85263360\", alpha=\"0.18\", expect_size=\"34105344\"] \n  33 -> 34 [size =\"34105344\"]\n  34 [size=\"45140480\", alpha=\"0.13\", expect_size=\"18056192\"] \n  34 -> 35 [size =\"18056192\"]\n  35 [size=\"102382080\", alpha=\"0.00\", expect_size=\"40952832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23095296\", alpha=\"0.17\", expect_size=\"11547648\"] \n  1 -> 2 [size =\"11547648\"]\n  1 -> 3 [size =\"11547648\"]\n  2 [size=\"102574080\", alpha=\"0.02\", expect_size=\"51287040\"] \n  3 [size=\"66459648\", alpha=\"0.07\", expect_size=\"33229824\"] \n  3 -> 4 [size =\"33229824\"]\n  4 [size=\"15818752\", alpha=\"0.07\", expect_size=\"7909376\"] \n  4 -> 5 [size =\"7909376\"]\n  4 -> 6 [size =\"7909376\"]\n  5 [size=\"101623808\", alpha=\"0.10\", expect_size=\"50811904\"] \n  5 -> 8 [size =\"50811904\"]\n  6 [size=\"88201216\", alpha=\"0.08\", expect_size=\"44100608\"] \n  6 -> 7 [size =\"44100608\"]\n  7 [size=\"69398528\", alpha=\"0.14\", expect_size=\"34699264\"] \n  7 -> 9 [size =\"34699264\"]\n  8 [size=\"98705408\", alpha=\"0.04\", expect_size=\"49352704\"] \n  9 [size=\"44990464\", alpha=\"0.12\", expect_size=\"22495232\"] \n  9 -> 10 [size =\"22495232\"]\n  9 -> 11 [size =\"22495232\"]\n  10 [size=\"64700416\", alpha=\"0.04\", expect_size=\"32350208\"] \n  10 -> 12 [size =\"32350208\"]\n  10 -> 13 [size =\"32350208\"]\n  11 [size=\"24745984\", alpha=\"0.14\", expect_size=\"12372992\"] \n  12 [size=\"11268096\", alpha=\"0.17\", expect_size=\"5634048\"] \n  13 [size=\"20664320\", alpha=\"0.05\", expect_size=\"10332160\"] \n  13 -> 14 [size =\"10332160\"]\n  13 -> 15 [size =\"10332160\"]\n  14 [size=\"52824064\", alpha=\"0.06\", expect_size=\"26412032\"] \n  14 -> 16 [size =\"26412032\"]\n  15 [size=\"85385216\", alpha=\"0.07\", expect_size=\"42692608\"] \n  15 -> 17 [size =\"42692608\"]\n  16 [size=\"38252544\", alpha=\"0.05\", expect_size=\"19126272\"] \n  16 -> 18 [size =\"19126272\"]\n  16 -> 19 [size =\"19126272\"]\n  17 [size=\"77830144\", alpha=\"0.03\", expect_size=\"38915072\"] \n  18 [size=\"50395136\", alpha=\"0.13\", expect_size=\"25197568\"] \n  19 [size=\"71055360\", alpha=\"0.09\", expect_size=\"35527680\"] \n  19 -> 20 [size =\"35527680\"]\n  20 [size=\"32716800\", alpha=\"0.01\", expect_size=\"16358400\"] \n  20 -> 21 [size =\"16358400\"]\n  21 [size=\"51109888\", alpha=\"0.17\", expect_size=\"25554944\"] \n  21 -> 22 [size =\"25554944\"]\n  21 -> 23 [size =\"25554944\"]\n  22 [size=\"21174272\", alpha=\"0.12\", expect_size=\"10587136\"] \n  22 -> 24 [size =\"10587136\"]\n  23 [size=\"99917824\", alpha=\"0.18\", expect_size=\"49958912\"] \n  23 -> 25 [size =\"49958912\"]\n  24 [size=\"28096512\", alpha=\"0.06\", expect_size=\"14048256\"] \n  25 [size=\"57196544\", alpha=\"0.13\", expect_size=\"28598272\"] \n  25 -> 26 [size =\"28598272\"]\n  26 [size=\"90880000\", alpha=\"0.17\", expect_size=\"45440000\"] \n  26 -> 27 [size =\"45440000\"]\n  27 [size=\"21876736\", alpha=\"0.13\", expect_size=\"10938368\"] \n  27 -> 28 [size =\"10938368\"]\n  28 [size=\"34656256\", alpha=\"0.08\", expect_size=\"17328128\"] \n  28 -> 29 [size =\"17328128\"]\n  29 [size=\"95537152\", alpha=\"0.10\", expect_size=\"47768576\"] \n  29 -> 30 [size =\"47768576\"]\n  29 -> 31 [size =\"47768576\"]\n  30 [size=\"42391552\", alpha=\"0.04\", expect_size=\"21195776\"] \n  30 -> 33 [size =\"21195776\"]\n  31 [size=\"49121280\", alpha=\"0.01\", expect_size=\"24560640\"] \n  31 -> 32 [size =\"24560640\"]\n  32 [size=\"33970176\", alpha=\"0.17\", expect_size=\"16985088\"] \n  33 [size=\"89024512\", alpha=\"0.16\", expect_size=\"44512256\"] \n  33 -> 34 [size =\"44512256\"]\n  33 -> 35 [size =\"44512256\"]\n  34 [size=\"81514496\", alpha=\"0.04\", expect_size=\"40757248\"] \n  35 [size=\"16773120\", alpha=\"0.08\", expect_size=\"8386560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24275627\", alpha=\"0.06\", expect_size=\"7282688\"] \n  1 -> 2 [size =\"7282688\"]\n  1 -> 3 [size =\"7282688\"]\n  2 [size=\"165225813\", alpha=\"0.10\", expect_size=\"49567744\"] \n  2 -> 4 [size =\"49567744\"]\n  2 -> 5 [size =\"49567744\"]\n  3 [size=\"62173867\", alpha=\"0.01\", expect_size=\"18652160\"] \n  4 [size=\"90688853\", alpha=\"0.14\", expect_size=\"27206656\"] \n  4 -> 6 [size =\"27206656\"]\n  5 [size=\"20022613\", alpha=\"0.06\", expect_size=\"6006784\"] \n  5 -> 7 [size =\"6006784\"]\n  6 [size=\"32788480\", alpha=\"0.06\", expect_size=\"9836544\"] \n  6 -> 8 [size =\"9836544\"]\n  7 [size=\"28323840\", alpha=\"0.18\", expect_size=\"8497152\"] \n  8 [size=\"46366720\", alpha=\"0.18\", expect_size=\"13910016\"] \n  8 -> 9 [size =\"13910016\"]\n  8 -> 10 [size =\"13910016\"]\n  9 [size=\"23040000\", alpha=\"0.06\", expect_size=\"6912000\"] \n  10 [size=\"116937387\", alpha=\"0.01\", expect_size=\"35081216\"] \n  10 -> 11 [size =\"35081216\"]\n  11 [size=\"67679573\", alpha=\"0.06\", expect_size=\"20303872\"] \n  11 -> 12 [size =\"20303872\"]\n  12 [size=\"117705387\", alpha=\"0.17\", expect_size=\"35311616\"] \n  12 -> 13 [size =\"35311616\"]\n  13 [size=\"37816320\", alpha=\"0.08\", expect_size=\"11344896\"] \n  13 -> 14 [size =\"11344896\"]\n  13 -> 15 [size =\"11344896\"]\n  14 [size=\"49476267\", alpha=\"0.18\", expect_size=\"14842880\"] \n  15 [size=\"156941653\", alpha=\"0.16\", expect_size=\"47082496\"] \n  15 -> 16 [size =\"47082496\"]\n  16 [size=\"43677013\", alpha=\"0.02\", expect_size=\"13103104\"] \n  16 -> 17 [size =\"13103104\"]\n  16 -> 18 [size =\"13103104\"]\n  17 [size=\"92289707\", alpha=\"0.18\", expect_size=\"27686912\"] \n  18 [size=\"80029013\", alpha=\"0.09\", expect_size=\"24008704\"] \n  18 -> 19 [size =\"24008704\"]\n  19 [size=\"66515627\", alpha=\"0.13\", expect_size=\"19954688\"] \n  19 -> 20 [size =\"19954688\"]\n  19 -> 21 [size =\"19954688\"]\n  20 [size=\"116312747\", alpha=\"0.11\", expect_size=\"34893824\"] \n  20 -> 22 [size =\"34893824\"]\n  20 -> 23 [size =\"34893824\"]\n  21 [size=\"126006613\", alpha=\"0.09\", expect_size=\"37801984\"] \n  22 [size=\"171776000\", alpha=\"0.06\", expect_size=\"51532800\"] \n  22 -> 24 [size =\"51532800\"]\n  23 [size=\"149998933\", alpha=\"0.08\", expect_size=\"44999680\"] \n  23 -> 25 [size =\"44999680\"]\n  24 [size=\"54603093\", alpha=\"0.00\", expect_size=\"16380928\"] \n  24 -> 26 [size =\"16380928\"]\n  24 -> 27 [size =\"16380928\"]\n  25 [size=\"41543680\", alpha=\"0.13\", expect_size=\"12463104\"] \n  26 [size=\"165543253\", alpha=\"0.07\", expect_size=\"49662976\"] \n  26 -> 28 [size =\"49662976\"]\n  27 [size=\"26217813\", alpha=\"0.03\", expect_size=\"7865344\"] \n  28 [size=\"170147840\", alpha=\"0.02\", expect_size=\"51044352\"] \n  28 -> 29 [size =\"51044352\"]\n  28 -> 30 [size =\"51044352\"]\n  29 [size=\"85923840\", alpha=\"0.02\", expect_size=\"25777152\"] \n  29 -> 32 [size =\"25777152\"]\n  30 [size=\"32706560\", alpha=\"0.15\", expect_size=\"9811968\"] \n  30 -> 31 [size =\"9811968\"]\n  31 [size=\"115821227\", alpha=\"0.14\", expect_size=\"34746368\"] \n  31 -> 33 [size =\"34746368\"]\n  31 -> 34 [size =\"34746368\"]\n  32 [size=\"27497813\", alpha=\"0.05\", expect_size=\"8249344\"] \n  33 [size=\"72772267\", alpha=\"0.20\", expect_size=\"21831680\"] \n  34 [size=\"139059200\", alpha=\"0.18\", expect_size=\"41717760\"] \n  34 -> 35 [size =\"41717760\"]\n  35 [size=\"142284800\", alpha=\"0.14\", expect_size=\"42685440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58814464\", alpha=\"0.20\", expect_size=\"29407232\"] \n  1 -> 2 [size =\"29407232\"]\n  1 -> 3 [size =\"29407232\"]\n  2 [size=\"28037120\", alpha=\"0.08\", expect_size=\"14018560\"] \n  2 -> 4 [size =\"14018560\"]\n  2 -> 5 [size =\"14018560\"]\n  3 [size=\"11307008\", alpha=\"0.02\", expect_size=\"5653504\"] \n  4 [size=\"79446016\", alpha=\"0.08\", expect_size=\"39723008\"] \n  4 -> 6 [size =\"39723008\"]\n  4 -> 7 [size =\"39723008\"]\n  5 [size=\"37128192\", alpha=\"0.11\", expect_size=\"18564096\"] \n  6 [size=\"37357568\", alpha=\"0.19\", expect_size=\"18678784\"] \n  6 -> 8 [size =\"18678784\"]\n  6 -> 9 [size =\"18678784\"]\n  7 [size=\"71524352\", alpha=\"0.05\", expect_size=\"35762176\"] \n  8 [size=\"26476544\", alpha=\"0.15\", expect_size=\"13238272\"] \n  9 [size=\"27162624\", alpha=\"0.11\", expect_size=\"13581312\"] \n  9 -> 10 [size =\"13581312\"]\n  10 [size=\"71079936\", alpha=\"0.17\", expect_size=\"35539968\"] \n  10 -> 11 [size =\"35539968\"]\n  11 [size=\"16103424\", alpha=\"0.05\", expect_size=\"8051712\"] \n  11 -> 12 [size =\"8051712\"]\n  11 -> 13 [size =\"8051712\"]\n  12 [size=\"15374336\", alpha=\"0.02\", expect_size=\"7687168\"] \n  13 [size=\"52600832\", alpha=\"0.13\", expect_size=\"26300416\"] \n  13 -> 14 [size =\"26300416\"]\n  13 -> 15 [size =\"26300416\"]\n  14 [size=\"61124608\", alpha=\"0.05\", expect_size=\"30562304\"] \n  15 [size=\"98813952\", alpha=\"0.10\", expect_size=\"49406976\"] \n  15 -> 16 [size =\"49406976\"]\n  16 [size=\"56090624\", alpha=\"0.03\", expect_size=\"28045312\"] \n  16 -> 17 [size =\"28045312\"]\n  17 [size=\"53536768\", alpha=\"0.17\", expect_size=\"26768384\"] \n  17 -> 18 [size =\"26768384\"]\n  18 [size=\"77494272\", alpha=\"0.19\", expect_size=\"38747136\"] \n  18 -> 19 [size =\"38747136\"]\n  19 [size=\"53837824\", alpha=\"0.10\", expect_size=\"26918912\"] \n  19 -> 20 [size =\"26918912\"]\n  20 [size=\"12226560\", alpha=\"0.10\", expect_size=\"6113280\"] \n  20 -> 21 [size =\"6113280\"]\n  20 -> 22 [size =\"6113280\"]\n  21 [size=\"92794880\", alpha=\"0.00\", expect_size=\"46397440\"] \n  21 -> 23 [size =\"46397440\"]\n  22 [size=\"22747136\", alpha=\"0.15\", expect_size=\"11373568\"] \n  23 [size=\"31152128\", alpha=\"0.09\", expect_size=\"15576064\"] \n  23 -> 24 [size =\"15576064\"]\n  23 -> 25 [size =\"15576064\"]\n  24 [size=\"91531264\", alpha=\"0.18\", expect_size=\"45765632\"] \n  25 [size=\"19331072\", alpha=\"0.13\", expect_size=\"9665536\"] \n  25 -> 26 [size =\"9665536\"]\n  26 [size=\"64395264\", alpha=\"0.13\", expect_size=\"32197632\"] \n  26 -> 27 [size =\"32197632\"]\n  27 [size=\"80033792\", alpha=\"0.06\", expect_size=\"40016896\"] \n  27 -> 28 [size =\"40016896\"]\n  28 [size=\"64917504\", alpha=\"0.03\", expect_size=\"32458752\"] \n  28 -> 29 [size =\"32458752\"]\n  29 [size=\"60928000\", alpha=\"0.03\", expect_size=\"30464000\"] \n  29 -> 30 [size =\"30464000\"]\n  29 -> 31 [size =\"30464000\"]\n  30 [size=\"11931648\", alpha=\"0.16\", expect_size=\"5965824\"] \n  30 -> 32 [size =\"5965824\"]\n  31 [size=\"58537984\", alpha=\"0.11\", expect_size=\"29268992\"] \n  32 [size=\"60340224\", alpha=\"0.06\", expect_size=\"30170112\"] \n  32 -> 33 [size =\"30170112\"]\n  33 [size=\"34887680\", alpha=\"0.10\", expect_size=\"17443840\"] \n  33 -> 34 [size =\"17443840\"]\n  34 [size=\"77373440\", alpha=\"0.05\", expect_size=\"38686720\"] \n  34 -> 35 [size =\"38686720\"]\n  35 [size=\"68020224\", alpha=\"0.19\", expect_size=\"34010112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70570667\", alpha=\"0.20\", expect_size=\"21171200\"] \n  1 -> 14 [size =\"21171200\"]\n  1 -> 15 [size =\"21171200\"]\n  1 -> 20 [size =\"21171200\"]\n  2 [size=\"101307733\", alpha=\"0.05\", expect_size=\"30392320\"] \n  2 -> 8 [size =\"30392320\"]\n  2 -> 17 [size =\"30392320\"]\n  2 -> 18 [size =\"30392320\"]\n  2 -> 19 [size =\"30392320\"]\n  3 [size=\"146380800\", alpha=\"0.15\", expect_size=\"43914240\"] \n  3 -> 8 [size =\"43914240\"]\n  3 -> 11 [size =\"43914240\"]\n  3 -> 16 [size =\"43914240\"]\n  3 -> 18 [size =\"43914240\"]\n  3 -> 19 [size =\"43914240\"]\n  4 [size=\"132464640\", alpha=\"0.19\", expect_size=\"39739392\"] \n  4 -> 15 [size =\"39739392\"]\n  4 -> 16 [size =\"39739392\"]\n  5 [size=\"49500160\", alpha=\"0.09\", expect_size=\"14850048\"] \n  5 -> 9 [size =\"14850048\"]\n  5 -> 11 [size =\"14850048\"]\n  5 -> 12 [size =\"14850048\"]\n  5 -> 13 [size =\"14850048\"]\n  5 -> 14 [size =\"14850048\"]\n  6 [size=\"78199467\", alpha=\"0.11\", expect_size=\"23459840\"] \n  6 -> 12 [size =\"23459840\"]\n  6 -> 13 [size =\"23459840\"]\n  6 -> 15 [size =\"23459840\"]\n  6 -> 17 [size =\"23459840\"]\n  6 -> 20 [size =\"23459840\"]\n  7 [size=\"162693120\", alpha=\"0.05\", expect_size=\"48807936\"] \n  7 -> 9 [size =\"48807936\"]\n  7 -> 10 [size =\"48807936\"]\n  7 -> 11 [size =\"48807936\"]\n  7 -> 13 [size =\"48807936\"]\n  7 -> 14 [size =\"48807936\"]\n  7 -> 16 [size =\"48807936\"]\n  7 -> 20 [size =\"48807936\"]\n  8 [size=\"136997547\", alpha=\"0.19\", expect_size=\"41099264\"] \n  8 -> 26 [size =\"41099264\"]\n  8 -> 27 [size =\"41099264\"]\n  8 -> 30 [size =\"41099264\"]\n  9 [size=\"143650133\", alpha=\"0.06\", expect_size=\"43095040\"] \n  9 -> 23 [size =\"43095040\"]\n  9 -> 30 [size =\"43095040\"]\n  9 -> 30 [size =\"43095040\"]\n  9 -> 31 [size =\"43095040\"]\n  10 [size=\"107407360\", alpha=\"0.19\", expect_size=\"32222208\"] \n  10 -> 25 [size =\"32222208\"]\n  10 -> 33 [size =\"32222208\"]\n  11 [size=\"80052907\", alpha=\"0.11\", expect_size=\"24015872\"] \n  11 -> 23 [size =\"24015872\"]\n  11 -> 24 [size =\"24015872\"]\n  11 -> 28 [size =\"24015872\"]\n  11 -> 30 [size =\"24015872\"]\n  11 -> 33 [size =\"24015872\"]\n  11 -> 35 [size =\"24015872\"]\n  12 [size=\"78097067\", alpha=\"0.14\", expect_size=\"23429120\"] \n  12 -> 24 [size =\"23429120\"]\n  12 -> 26 [size =\"23429120\"]\n  12 -> 28 [size =\"23429120\"]\n  12 -> 33 [size =\"23429120\"]\n  13 [size=\"119022933\", alpha=\"0.04\", expect_size=\"35706880\"] \n  13 -> 24 [size =\"35706880\"]\n  13 -> 26 [size =\"35706880\"]\n  13 -> 29 [size =\"35706880\"]\n  14 [size=\"83060053\", alpha=\"0.04\", expect_size=\"24918016\"] \n  14 -> 22 [size =\"24918016\"]\n  14 -> 24 [size =\"24918016\"]\n  14 -> 25 [size =\"24918016\"]\n  14 -> 26 [size =\"24918016\"]\n  14 -> 29 [size =\"24918016\"]\n  14 -> 34 [size =\"24918016\"]\n  15 [size=\"78557867\", alpha=\"0.12\", expect_size=\"23567360\"] \n  15 -> 25 [size =\"23567360\"]\n  15 -> 28 [size =\"23567360\"]\n  15 -> 29 [size =\"23567360\"]\n  15 -> 31 [size =\"23567360\"]\n  16 [size=\"153251840\", alpha=\"0.18\", expect_size=\"45975552\"] \n  16 -> 21 [size =\"45975552\"]\n  16 -> 25 [size =\"45975552\"]\n  16 -> 26 [size =\"45975552\"]\n  16 -> 29 [size =\"45975552\"]\n  16 -> 35 [size =\"45975552\"]\n  17 [size=\"82903040\", alpha=\"0.16\", expect_size=\"24870912\"] \n  17 -> 22 [size =\"24870912\"]\n  17 -> 25 [size =\"24870912\"]\n  17 -> 28 [size =\"24870912\"]\n  17 -> 30 [size =\"24870912\"]\n  18 [size=\"119947947\", alpha=\"0.13\", expect_size=\"35984384\"] \n  18 -> 27 [size =\"35984384\"]\n  18 -> 28 [size =\"35984384\"]\n  18 -> 30 [size =\"35984384\"]\n  19 [size=\"109779627\", alpha=\"0.17\", expect_size=\"32933888\"] \n  19 -> 24 [size =\"32933888\"]\n  19 -> 26 [size =\"32933888\"]\n  19 -> 33 [size =\"32933888\"]\n  19 -> 34 [size =\"32933888\"]\n  20 [size=\"159781547\", alpha=\"0.03\", expect_size=\"47934464\"] \n  20 -> 26 [size =\"47934464\"]\n  20 -> 29 [size =\"47934464\"]\n  20 -> 32 [size =\"47934464\"]\n  20 -> 33 [size =\"47934464\"]\n  20 -> 35 [size =\"47934464\"]\n  21 [size=\"154651307\", alpha=\"0.16\", expect_size=\"46395392\"] \n  22 [size=\"85169493\", alpha=\"0.19\", expect_size=\"25550848\"] \n  23 [size=\"38106453\", alpha=\"0.19\", expect_size=\"11431936\"] \n  24 [size=\"73233067\", alpha=\"0.14\", expect_size=\"21969920\"] \n  25 [size=\"103178240\", alpha=\"0.12\", expect_size=\"30953472\"] \n  26 [size=\"36826453\", alpha=\"0.18\", expect_size=\"11047936\"] \n  27 [size=\"22906880\", alpha=\"0.03\", expect_size=\"6872064\"] \n  28 [size=\"146466133\", alpha=\"0.03\", expect_size=\"43939840\"] \n  29 [size=\"93866667\", alpha=\"0.19\", expect_size=\"28160000\"] \n  30 [size=\"69939200\", alpha=\"0.06\", expect_size=\"20981760\"] \n  31 [size=\"93586773\", alpha=\"0.02\", expect_size=\"28076032\"] \n  32 [size=\"60620800\", alpha=\"0.05\", expect_size=\"18186240\"] \n  33 [size=\"54876160\", alpha=\"0.01\", expect_size=\"16462848\"] \n  34 [size=\"47967573\", alpha=\"0.05\", expect_size=\"14390272\"] \n  35 [size=\"154890240\", alpha=\"0.17\", expect_size=\"46467072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128122880\", alpha=\"0.18\", expect_size=\"51249152\"] \n  1 -> 16 [size =\"51249152\"]\n  1 -> 17 [size =\"51249152\"]\n  1 -> 18 [size =\"51249152\"]\n  1 -> 23 [size =\"51249152\"]\n  1 -> 25 [size =\"51249152\"]\n  1 -> 26 [size =\"51249152\"]\n  2 [size=\"42800640\", alpha=\"0.17\", expect_size=\"17120256\"] \n  2 -> 17 [size =\"17120256\"]\n  2 -> 17 [size =\"17120256\"]\n  2 -> 18 [size =\"17120256\"]\n  2 -> 20 [size =\"17120256\"]\n  2 -> 21 [size =\"17120256\"]\n  2 -> 24 [size =\"17120256\"]\n  3 [size=\"129292800\", alpha=\"0.12\", expect_size=\"51717120\"] \n  3 -> 16 [size =\"51717120\"]\n  3 -> 18 [size =\"51717120\"]\n  3 -> 18 [size =\"51717120\"]\n  3 -> 21 [size =\"51717120\"]\n  3 -> 24 [size =\"51717120\"]\n  3 -> 28 [size =\"51717120\"]\n  4 [size=\"75499520\", alpha=\"0.09\", expect_size=\"30199808\"] \n  4 -> 15 [size =\"30199808\"]\n  4 -> 16 [size =\"30199808\"]\n  4 -> 20 [size =\"30199808\"]\n  4 -> 21 [size =\"30199808\"]\n  4 -> 23 [size =\"30199808\"]\n  4 -> 24 [size =\"30199808\"]\n  4 -> 26 [size =\"30199808\"]\n  5 [size=\"85895680\", alpha=\"0.20\", expect_size=\"34358272\"] \n  5 -> 15 [size =\"34358272\"]\n  5 -> 17 [size =\"34358272\"]\n  5 -> 23 [size =\"34358272\"]\n  5 -> 24 [size =\"34358272\"]\n  5 -> 25 [size =\"34358272\"]\n  5 -> 26 [size =\"34358272\"]\n  5 -> 26 [size =\"34358272\"]\n  5 -> 29 [size =\"34358272\"]\n  6 [size=\"44421120\", alpha=\"0.04\", expect_size=\"17768448\"] \n  6 -> 16 [size =\"17768448\"]\n  6 -> 17 [size =\"17768448\"]\n  6 -> 18 [size =\"17768448\"]\n  6 -> 19 [size =\"17768448\"]\n  6 -> 20 [size =\"17768448\"]\n  6 -> 22 [size =\"17768448\"]\n  6 -> 24 [size =\"17768448\"]\n  6 -> 25 [size =\"17768448\"]\n  6 -> 26 [size =\"17768448\"]\n  6 -> 27 [size =\"17768448\"]\n  6 -> 29 [size =\"17768448\"]\n  7 [size=\"74813440\", alpha=\"0.09\", expect_size=\"29925376\"] \n  7 -> 17 [size =\"29925376\"]\n  7 -> 17 [size =\"29925376\"]\n  7 -> 18 [size =\"29925376\"]\n  7 -> 22 [size =\"29925376\"]\n  7 -> 23 [size =\"29925376\"]\n  7 -> 24 [size =\"29925376\"]\n  7 -> 25 [size =\"29925376\"]\n  8 [size=\"37696000\", alpha=\"0.17\", expect_size=\"15078400\"] \n  8 -> 15 [size =\"15078400\"]\n  8 -> 20 [size =\"15078400\"]\n  8 -> 22 [size =\"15078400\"]\n  8 -> 26 [size =\"15078400\"]\n  8 -> 28 [size =\"15078400\"]\n  8 -> 29 [size =\"15078400\"]\n  9 [size=\"34339840\", alpha=\"0.18\", expect_size=\"13735936\"] \n  9 -> 15 [size =\"13735936\"]\n  9 -> 16 [size =\"13735936\"]\n  9 -> 18 [size =\"13735936\"]\n  9 -> 21 [size =\"13735936\"]\n  10 [size=\"47014400\", alpha=\"0.18\", expect_size=\"18805760\"] \n  10 -> 16 [size =\"18805760\"]\n  10 -> 20 [size =\"18805760\"]\n  10 -> 23 [size =\"18805760\"]\n  10 -> 24 [size =\"18805760\"]\n  10 -> 25 [size =\"18805760\"]\n  10 -> 29 [size =\"18805760\"]\n  11 [size=\"38440960\", alpha=\"0.07\", expect_size=\"15376384\"] \n  11 -> 15 [size =\"15376384\"]\n  11 -> 17 [size =\"15376384\"]\n  11 -> 19 [size =\"15376384\"]\n  11 -> 20 [size =\"15376384\"]\n  11 -> 23 [size =\"15376384\"]\n  11 -> 25 [size =\"15376384\"]\n  11 -> 29 [size =\"15376384\"]\n  12 [size=\"29496320\", alpha=\"0.01\", expect_size=\"11798528\"] \n  12 -> 16 [size =\"11798528\"]\n  12 -> 18 [size =\"11798528\"]\n  12 -> 21 [size =\"11798528\"]\n  12 -> 22 [size =\"11798528\"]\n  12 -> 24 [size =\"11798528\"]\n  12 -> 25 [size =\"11798528\"]\n  12 -> 29 [size =\"11798528\"]\n  13 [size=\"13573120\", alpha=\"0.12\", expect_size=\"5429248\"] \n  13 -> 17 [size =\"5429248\"]\n  13 -> 18 [size =\"5429248\"]\n  13 -> 22 [size =\"5429248\"]\n  13 -> 25 [size =\"5429248\"]\n  14 [size=\"82890240\", alpha=\"0.13\", expect_size=\"33156096\"] \n  14 -> 17 [size =\"33156096\"]\n  14 -> 18 [size =\"33156096\"]\n  14 -> 22 [size =\"33156096\"]\n  14 -> 23 [size =\"33156096\"]\n  14 -> 25 [size =\"33156096\"]\n  15 [size=\"17461760\", alpha=\"0.18\", expect_size=\"6984704\"] \n  16 [size=\"16547840\", alpha=\"0.11\", expect_size=\"6619136\"] \n  17 [size=\"38241280\", alpha=\"0.07\", expect_size=\"15296512\"] \n  17 -> 30 [size =\"15296512\"]\n  17 -> 33 [size =\"15296512\"]\n  17 -> 34 [size =\"15296512\"]\n  17 -> 35 [size =\"15296512\"]\n  18 [size=\"92677120\", alpha=\"0.03\", expect_size=\"37070848\"] \n  18 -> 30 [size =\"37070848\"]\n  18 -> 34 [size =\"37070848\"]\n  18 -> 34 [size =\"37070848\"]\n  18 -> 35 [size =\"37070848\"]\n  19 [size=\"73254400\", alpha=\"0.00\", expect_size=\"29301760\"] \n  19 -> 30 [size =\"29301760\"]\n  19 -> 33 [size =\"29301760\"]\n  20 [size=\"64076800\", alpha=\"0.14\", expect_size=\"25630720\"] \n  20 -> 30 [size =\"25630720\"]\n  20 -> 34 [size =\"25630720\"]\n  21 [size=\"51504640\", alpha=\"0.07\", expect_size=\"20601856\"] \n  21 -> 30 [size =\"20601856\"]\n  22 [size=\"92456960\", alpha=\"0.05\", expect_size=\"36982784\"] \n  22 -> 30 [size =\"36982784\"]\n  22 -> 33 [size =\"36982784\"]\n  23 [size=\"101168640\", alpha=\"0.03\", expect_size=\"40467456\"] \n  23 -> 34 [size =\"40467456\"]\n  24 [size=\"54978560\", alpha=\"0.12\", expect_size=\"21991424\"] \n  24 -> 30 [size =\"21991424\"]\n  24 -> 31 [size =\"21991424\"]\n  24 -> 33 [size =\"21991424\"]\n  25 [size=\"16192000\", alpha=\"0.13\", expect_size=\"6476800\"] \n  25 -> 33 [size =\"6476800\"]\n  26 [size=\"123911680\", alpha=\"0.19\", expect_size=\"49564672\"] \n  27 [size=\"72000000\", alpha=\"0.16\", expect_size=\"28800000\"] \n  27 -> 30 [size =\"28800000\"]\n  27 -> 31 [size =\"28800000\"]\n  27 -> 32 [size =\"28800000\"]\n  27 -> 33 [size =\"28800000\"]\n  28 [size=\"110676480\", alpha=\"0.16\", expect_size=\"44270592\"] \n  28 -> 33 [size =\"44270592\"]\n  28 -> 35 [size =\"44270592\"]\n  29 [size=\"128734720\", alpha=\"0.01\", expect_size=\"51493888\"] \n  29 -> 30 [size =\"51493888\"]\n  29 -> 31 [size =\"51493888\"]\n  29 -> 33 [size =\"51493888\"]\n  30 [size=\"129326080\", alpha=\"0.11\", expect_size=\"51730432\"] \n  31 [size=\"92938240\", alpha=\"0.05\", expect_size=\"37175296\"] \n  32 [size=\"16627200\", alpha=\"0.03\", expect_size=\"6650880\"] \n  33 [size=\"48048640\", alpha=\"0.00\", expect_size=\"19219456\"] \n  34 [size=\"67461120\", alpha=\"0.09\", expect_size=\"26984448\"] \n  35 [size=\"19294720\", alpha=\"0.19\", expect_size=\"7717888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154586453\", alpha=\"0.06\", expect_size=\"46375936\"] \n  1 -> 8 [size =\"46375936\"]\n  1 -> 10 [size =\"46375936\"]\n  1 -> 11 [size =\"46375936\"]\n  1 -> 12 [size =\"46375936\"]\n  1 -> 15 [size =\"46375936\"]\n  2 [size=\"93474133\", alpha=\"0.11\", expect_size=\"28042240\"] \n  2 -> 7 [size =\"28042240\"]\n  2 -> 9 [size =\"28042240\"]\n  2 -> 10 [size =\"28042240\"]\n  2 -> 12 [size =\"28042240\"]\n  2 -> 13 [size =\"28042240\"]\n  2 -> 15 [size =\"28042240\"]\n  3 [size=\"162198187\", alpha=\"0.13\", expect_size=\"48659456\"] \n  3 -> 8 [size =\"48659456\"]\n  3 -> 9 [size =\"48659456\"]\n  3 -> 11 [size =\"48659456\"]\n  3 -> 13 [size =\"48659456\"]\n  3 -> 15 [size =\"48659456\"]\n  4 [size=\"165184853\", alpha=\"0.02\", expect_size=\"49555456\"] \n  4 -> 7 [size =\"49555456\"]\n  4 -> 8 [size =\"49555456\"]\n  4 -> 11 [size =\"49555456\"]\n  4 -> 12 [size =\"49555456\"]\n  4 -> 14 [size =\"49555456\"]\n  5 [size=\"101386240\", alpha=\"0.10\", expect_size=\"30415872\"] \n  5 -> 7 [size =\"30415872\"]\n  5 -> 8 [size =\"30415872\"]\n  5 -> 11 [size =\"30415872\"]\n  5 -> 13 [size =\"30415872\"]\n  6 [size=\"71567360\", alpha=\"0.14\", expect_size=\"21470208\"] \n  6 -> 7 [size =\"21470208\"]\n  6 -> 8 [size =\"21470208\"]\n  6 -> 9 [size =\"21470208\"]\n  6 -> 10 [size =\"21470208\"]\n  6 -> 11 [size =\"21470208\"]\n  6 -> 12 [size =\"21470208\"]\n  7 [size=\"131031040\", alpha=\"0.16\", expect_size=\"39309312\"] \n  7 -> 16 [size =\"39309312\"]\n  7 -> 17 [size =\"39309312\"]\n  8 [size=\"60989440\", alpha=\"0.11\", expect_size=\"18296832\"] \n  8 -> 16 [size =\"18296832\"]\n  8 -> 17 [size =\"18296832\"]\n  8 -> 18 [size =\"18296832\"]\n  8 -> 20 [size =\"18296832\"]\n  9 [size=\"29392213\", alpha=\"0.12\", expect_size=\"8817664\"] \n  9 -> 18 [size =\"8817664\"]\n  9 -> 20 [size =\"8817664\"]\n  10 [size=\"76912640\", alpha=\"0.05\", expect_size=\"23073792\"] \n  10 -> 18 [size =\"23073792\"]\n  10 -> 20 [size =\"23073792\"]\n  11 [size=\"128399360\", alpha=\"0.14\", expect_size=\"38519808\"] \n  11 -> 17 [size =\"38519808\"]\n  11 -> 18 [size =\"38519808\"]\n  11 -> 20 [size =\"38519808\"]\n  12 [size=\"21940907\", alpha=\"0.17\", expect_size=\"6582272\"] \n  12 -> 18 [size =\"6582272\"]\n  12 -> 19 [size =\"6582272\"]\n  12 -> 21 [size =\"6582272\"]\n  13 [size=\"110182400\", alpha=\"0.04\", expect_size=\"33054720\"] \n  13 -> 18 [size =\"33054720\"]\n  13 -> 19 [size =\"33054720\"]\n  13 -> 20 [size =\"33054720\"]\n  14 [size=\"59057493\", alpha=\"0.15\", expect_size=\"17717248\"] \n  14 -> 17 [size =\"17717248\"]\n  14 -> 18 [size =\"17717248\"]\n  14 -> 19 [size =\"17717248\"]\n  14 -> 20 [size =\"17717248\"]\n  15 [size=\"77178880\", alpha=\"0.08\", expect_size=\"23153664\"] \n  15 -> 17 [size =\"23153664\"]\n  15 -> 18 [size =\"23153664\"]\n  16 [size=\"153006080\", alpha=\"0.11\", expect_size=\"45901824\"] \n  16 -> 22 [size =\"45901824\"]\n  16 -> 24 [size =\"45901824\"]\n  16 -> 25 [size =\"45901824\"]\n  16 -> 28 [size =\"45901824\"]\n  16 -> 30 [size =\"45901824\"]\n  16 -> 33 [size =\"45901824\"]\n  16 -> 34 [size =\"45901824\"]\n  17 [size=\"103796053\", alpha=\"0.15\", expect_size=\"31138816\"] \n  17 -> 22 [size =\"31138816\"]\n  17 -> 24 [size =\"31138816\"]\n  17 -> 25 [size =\"31138816\"]\n  17 -> 33 [size =\"31138816\"]\n  18 [size=\"72267093\", alpha=\"0.06\", expect_size=\"21680128\"] \n  18 -> 22 [size =\"21680128\"]\n  18 -> 23 [size =\"21680128\"]\n  18 -> 24 [size =\"21680128\"]\n  18 -> 26 [size =\"21680128\"]\n  18 -> 28 [size =\"21680128\"]\n  18 -> 31 [size =\"21680128\"]\n  18 -> 32 [size =\"21680128\"]\n  18 -> 33 [size =\"21680128\"]\n  19 [size=\"159610880\", alpha=\"0.07\", expect_size=\"47883264\"] \n  19 -> 22 [size =\"47883264\"]\n  19 -> 24 [size =\"47883264\"]\n  19 -> 26 [size =\"47883264\"]\n  19 -> 27 [size =\"47883264\"]\n  19 -> 28 [size =\"47883264\"]\n  19 -> 30 [size =\"47883264\"]\n  19 -> 34 [size =\"47883264\"]\n  20 [size=\"98218667\", alpha=\"0.09\", expect_size=\"29465600\"] \n  20 -> 22 [size =\"29465600\"]\n  20 -> 27 [size =\"29465600\"]\n  20 -> 28 [size =\"29465600\"]\n  20 -> 29 [size =\"29465600\"]\n  20 -> 33 [size =\"29465600\"]\n  21 [size=\"134161067\", alpha=\"0.08\", expect_size=\"40248320\"] \n  21 -> 22 [size =\"40248320\"]\n  21 -> 24 [size =\"40248320\"]\n  21 -> 26 [size =\"40248320\"]\n  21 -> 28 [size =\"40248320\"]\n  21 -> 29 [size =\"40248320\"]\n  21 -> 33 [size =\"40248320\"]\n  22 [size=\"88005973\", alpha=\"0.17\", expect_size=\"26401792\"] \n  23 [size=\"66935467\", alpha=\"0.04\", expect_size=\"20080640\"] \n  24 [size=\"99007147\", alpha=\"0.09\", expect_size=\"29702144\"] \n  25 [size=\"59361280\", alpha=\"0.06\", expect_size=\"17808384\"] \n  25 -> 35 [size =\"17808384\"]\n  26 [size=\"123743573\", alpha=\"0.09\", expect_size=\"37123072\"] \n  27 [size=\"53374293\", alpha=\"0.07\", expect_size=\"16012288\"] \n  27 -> 35 [size =\"16012288\"]\n  28 [size=\"168929280\", alpha=\"0.11\", expect_size=\"50678784\"] \n  29 [size=\"62508373\", alpha=\"0.16\", expect_size=\"18752512\"] \n  30 [size=\"119848960\", alpha=\"0.08\", expect_size=\"35954688\"] \n  31 [size=\"32269653\", alpha=\"0.15\", expect_size=\"9680896\"] \n  31 -> 35 [size =\"9680896\"]\n  32 [size=\"94170453\", alpha=\"0.02\", expect_size=\"28251136\"] \n  33 [size=\"66979840\", alpha=\"0.01\", expect_size=\"20093952\"] \n  34 [size=\"95412907\", alpha=\"0.05\", expect_size=\"28623872\"] \n  35 [size=\"169898667\", alpha=\"0.17\", expect_size=\"50969600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86566400\", alpha=\"0.04\", expect_size=\"34626560\"] \n  1 -> 3 [size =\"34626560\"]\n  2 [size=\"126118400\", alpha=\"0.14\", expect_size=\"50447360\"] \n  2 -> 3 [size =\"50447360\"]\n  3 [size=\"101324800\", alpha=\"0.16\", expect_size=\"40529920\"] \n  3 -> 4 [size =\"40529920\"]\n  4 [size=\"117649920\", alpha=\"0.10\", expect_size=\"47059968\"] \n  4 -> 5 [size =\"47059968\"]\n  5 [size=\"36062720\", alpha=\"0.08\", expect_size=\"14425088\"] \n  5 -> 6 [size =\"14425088\"]\n  5 -> 7 [size =\"14425088\"]\n  6 [size=\"105472000\", alpha=\"0.10\", expect_size=\"42188800\"] \n  7 [size=\"74472960\", alpha=\"0.05\", expect_size=\"29789184\"] \n  7 -> 8 [size =\"29789184\"]\n  8 [size=\"123376640\", alpha=\"0.14\", expect_size=\"49350656\"] \n  8 -> 9 [size =\"49350656\"]\n  9 [size=\"70645760\", alpha=\"0.10\", expect_size=\"28258304\"] \n  9 -> 10 [size =\"28258304\"]\n  9 -> 11 [size =\"28258304\"]\n  10 [size=\"127042560\", alpha=\"0.02\", expect_size=\"50817024\"] \n  11 [size=\"121361920\", alpha=\"0.17\", expect_size=\"48544768\"] \n  11 -> 12 [size =\"48544768\"]\n  11 -> 13 [size =\"48544768\"]\n  12 [size=\"24816640\", alpha=\"0.01\", expect_size=\"9926656\"] \n  12 -> 14 [size =\"9926656\"]\n  13 [size=\"105756160\", alpha=\"0.01\", expect_size=\"42302464\"] \n  13 -> 14 [size =\"42302464\"]\n  14 [size=\"83473920\", alpha=\"0.06\", expect_size=\"33389568\"] \n  14 -> 15 [size =\"33389568\"]\n  15 [size=\"24780800\", alpha=\"0.14\", expect_size=\"9912320\"] \n  15 -> 16 [size =\"9912320\"]\n  15 -> 17 [size =\"9912320\"]\n  16 [size=\"73223680\", alpha=\"0.09\", expect_size=\"29289472\"] \n  17 [size=\"130368000\", alpha=\"0.07\", expect_size=\"52147200\"] \n  17 -> 18 [size =\"52147200\"]\n  18 [size=\"42529280\", alpha=\"0.14\", expect_size=\"17011712\"] \n  18 -> 19 [size =\"17011712\"]\n  18 -> 20 [size =\"17011712\"]\n  19 [size=\"127994880\", alpha=\"0.11\", expect_size=\"51197952\"] \n  20 [size=\"71237120\", alpha=\"0.03\", expect_size=\"28494848\"] \n  20 -> 21 [size =\"28494848\"]\n  21 [size=\"82749440\", alpha=\"0.08\", expect_size=\"33099776\"] \n  21 -> 22 [size =\"33099776\"]\n  22 [size=\"63708160\", alpha=\"0.12\", expect_size=\"25483264\"] \n  22 -> 23 [size =\"25483264\"]\n  23 [size=\"70540800\", alpha=\"0.10\", expect_size=\"28216320\"] \n  23 -> 24 [size =\"28216320\"]\n  23 -> 25 [size =\"28216320\"]\n  24 [size=\"75694080\", alpha=\"0.07\", expect_size=\"30277632\"] \n  24 -> 27 [size =\"30277632\"]\n  25 [size=\"109053440\", alpha=\"0.07\", expect_size=\"43621376\"] \n  25 -> 26 [size =\"43621376\"]\n  26 [size=\"75458560\", alpha=\"0.03\", expect_size=\"30183424\"] \n  27 [size=\"130700800\", alpha=\"0.09\", expect_size=\"52280320\"] \n  27 -> 28 [size =\"52280320\"]\n  27 -> 29 [size =\"52280320\"]\n  28 [size=\"54284800\", alpha=\"0.14\", expect_size=\"21713920\"] \n  29 [size=\"17477120\", alpha=\"0.09\", expect_size=\"6990848\"] \n  29 -> 30 [size =\"6990848\"]\n  30 [size=\"83315200\", alpha=\"0.03\", expect_size=\"33326080\"] \n  30 -> 31 [size =\"33326080\"]\n  30 -> 32 [size =\"33326080\"]\n  31 [size=\"102689280\", alpha=\"0.16\", expect_size=\"41075712\"] \n  32 [size=\"31093760\", alpha=\"0.10\", expect_size=\"12437504\"] \n  32 -> 33 [size =\"12437504\"]\n  32 -> 34 [size =\"12437504\"]\n  33 [size=\"99504640\", alpha=\"0.01\", expect_size=\"39801856\"] \n  34 [size=\"42247680\", alpha=\"0.03\", expect_size=\"16899072\"] \n  34 -> 35 [size =\"16899072\"]\n  35 [size=\"81827840\", alpha=\"0.07\", expect_size=\"32731136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93440000\", alpha=\"0.02\", expect_size=\"28032000\"] \n  1 -> 2 [size =\"28032000\"]\n  2 [size=\"127375360\", alpha=\"0.07\", expect_size=\"38212608\"] \n  2 -> 3 [size =\"38212608\"]\n  2 -> 4 [size =\"38212608\"]\n  3 [size=\"81070080\", alpha=\"0.20\", expect_size=\"24321024\"] \n  3 -> 5 [size =\"24321024\"]\n  4 [size=\"157218133\", alpha=\"0.15\", expect_size=\"47165440\"] \n  4 -> 5 [size =\"47165440\"]\n  5 [size=\"62040747\", alpha=\"0.20\", expect_size=\"18612224\"] \n  5 -> 6 [size =\"18612224\"]\n  5 -> 7 [size =\"18612224\"]\n  6 [size=\"48991573\", alpha=\"0.04\", expect_size=\"14697472\"] \n  6 -> 8 [size =\"14697472\"]\n  7 [size=\"126399147\", alpha=\"0.15\", expect_size=\"37919744\"] \n  7 -> 8 [size =\"37919744\"]\n  8 [size=\"116336640\", alpha=\"0.03\", expect_size=\"34900992\"] \n  8 -> 9 [size =\"34900992\"]\n  8 -> 10 [size =\"34900992\"]\n  9 [size=\"96556373\", alpha=\"0.14\", expect_size=\"28966912\"] \n  9 -> 11 [size =\"28966912\"]\n  9 -> 12 [size =\"28966912\"]\n  10 [size=\"84695040\", alpha=\"0.07\", expect_size=\"25408512\"] \n  10 -> 11 [size =\"25408512\"]\n  10 -> 12 [size =\"25408512\"]\n  11 [size=\"60914347\", alpha=\"0.01\", expect_size=\"18274304\"] \n  12 [size=\"74588160\", alpha=\"0.02\", expect_size=\"22376448\"] \n  12 -> 13 [size =\"22376448\"]\n  13 [size=\"130362027\", alpha=\"0.09\", expect_size=\"39108608\"] \n  13 -> 14 [size =\"39108608\"]\n  14 [size=\"128146773\", alpha=\"0.04\", expect_size=\"38444032\"] \n  14 -> 15 [size =\"38444032\"]\n  15 [size=\"85661013\", alpha=\"0.10\", expect_size=\"25698304\"] \n  15 -> 16 [size =\"25698304\"]\n  15 -> 17 [size =\"25698304\"]\n  16 [size=\"82503680\", alpha=\"0.16\", expect_size=\"24751104\"] \n  16 -> 18 [size =\"24751104\"]\n  16 -> 19 [size =\"24751104\"]\n  17 [size=\"110660267\", alpha=\"0.04\", expect_size=\"33198080\"] \n  17 -> 18 [size =\"33198080\"]\n  17 -> 19 [size =\"33198080\"]\n  18 [size=\"69672960\", alpha=\"0.10\", expect_size=\"20901888\"] \n  18 -> 20 [size =\"20901888\"]\n  19 [size=\"91064320\", alpha=\"0.12\", expect_size=\"27319296\"] \n  19 -> 20 [size =\"27319296\"]\n  19 -> 21 [size =\"27319296\"]\n  20 [size=\"46353067\", alpha=\"0.16\", expect_size=\"13905920\"] \n  21 [size=\"99188053\", alpha=\"0.10\", expect_size=\"29756416\"] \n  21 -> 22 [size =\"29756416\"]\n  22 [size=\"103342080\", alpha=\"0.18\", expect_size=\"31002624\"] \n  22 -> 23 [size =\"31002624\"]\n  22 -> 24 [size =\"31002624\"]\n  23 [size=\"122654720\", alpha=\"0.15\", expect_size=\"36796416\"] \n  23 -> 25 [size =\"36796416\"]\n  23 -> 26 [size =\"36796416\"]\n  24 [size=\"33082027\", alpha=\"0.09\", expect_size=\"9924608\"] \n  24 -> 25 [size =\"9924608\"]\n  24 -> 26 [size =\"9924608\"]\n  25 [size=\"62627840\", alpha=\"0.08\", expect_size=\"18788352\"] \n  25 -> 27 [size =\"18788352\"]\n  26 [size=\"141714773\", alpha=\"0.12\", expect_size=\"42514432\"] \n  26 -> 27 [size =\"42514432\"]\n  26 -> 28 [size =\"42514432\"]\n  27 [size=\"112493227\", alpha=\"0.09\", expect_size=\"33747968\"] \n  27 -> 29 [size =\"33747968\"]\n  28 [size=\"146524160\", alpha=\"0.19\", expect_size=\"43957248\"] \n  28 -> 29 [size =\"43957248\"]\n  28 -> 30 [size =\"43957248\"]\n  29 [size=\"66461013\", alpha=\"0.19\", expect_size=\"19938304\"] \n  29 -> 31 [size =\"19938304\"]\n  30 [size=\"160204800\", alpha=\"0.08\", expect_size=\"48061440\"] \n  30 -> 31 [size =\"48061440\"]\n  31 [size=\"131471360\", alpha=\"0.02\", expect_size=\"39441408\"] \n  31 -> 32 [size =\"39441408\"]\n  31 -> 33 [size =\"39441408\"]\n  32 [size=\"56231253\", alpha=\"0.03\", expect_size=\"16869376\"] \n  32 -> 34 [size =\"16869376\"]\n  32 -> 35 [size =\"16869376\"]\n  33 [size=\"44380160\", alpha=\"0.19\", expect_size=\"13314048\"] \n  33 -> 34 [size =\"13314048\"]\n  33 -> 35 [size =\"13314048\"]\n  34 [size=\"159518720\", alpha=\"0.09\", expect_size=\"47855616\"] \n  35 [size=\"69533013\", alpha=\"0.07\", expect_size=\"20859904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75530240\", alpha=\"0.04\", expect_size=\"30212096\"] \n  1 -> 21 [size =\"30212096\"]\n  2 [size=\"87633920\", alpha=\"0.16\", expect_size=\"35053568\"] \n  2 -> 15 [size =\"35053568\"]\n  2 -> 16 [size =\"35053568\"]\n  2 -> 19 [size =\"35053568\"]\n  2 -> 22 [size =\"35053568\"]\n  3 [size=\"31104000\", alpha=\"0.07\", expect_size=\"12441600\"] \n  3 -> 14 [size =\"12441600\"]\n  3 -> 15 [size =\"12441600\"]\n  3 -> 18 [size =\"12441600\"]\n  3 -> 21 [size =\"12441600\"]\n  4 [size=\"98951680\", alpha=\"0.07\", expect_size=\"39580672\"] \n  4 -> 19 [size =\"39580672\"]\n  4 -> 21 [size =\"39580672\"]\n  5 [size=\"105144320\", alpha=\"0.12\", expect_size=\"42057728\"] \n  5 -> 19 [size =\"42057728\"]\n  5 -> 20 [size =\"42057728\"]\n  5 -> 23 [size =\"42057728\"]\n  6 [size=\"106885120\", alpha=\"0.15\", expect_size=\"42754048\"] \n  6 -> 18 [size =\"42754048\"]\n  6 -> 22 [size =\"42754048\"]\n  6 -> 23 [size =\"42754048\"]\n  7 [size=\"123745280\", alpha=\"0.18\", expect_size=\"49498112\"] \n  7 -> 19 [size =\"49498112\"]\n  8 [size=\"74775040\", alpha=\"0.20\", expect_size=\"29910016\"] \n  8 -> 17 [size =\"29910016\"]\n  8 -> 21 [size =\"29910016\"]\n  8 -> 23 [size =\"29910016\"]\n  9 [size=\"38760960\", alpha=\"0.18\", expect_size=\"15504384\"] \n  9 -> 20 [size =\"15504384\"]\n  9 -> 21 [size =\"15504384\"]\n  10 [size=\"34839040\", alpha=\"0.04\", expect_size=\"13935616\"] \n  10 -> 15 [size =\"13935616\"]\n  10 -> 16 [size =\"13935616\"]\n  10 -> 21 [size =\"13935616\"]\n  10 -> 22 [size =\"13935616\"]\n  11 [size=\"16263680\", alpha=\"0.02\", expect_size=\"6505472\"] \n  11 -> 13 [size =\"6505472\"]\n  11 -> 18 [size =\"6505472\"]\n  11 -> 22 [size =\"6505472\"]\n  11 -> 23 [size =\"6505472\"]\n  12 [size=\"37952000\", alpha=\"0.04\", expect_size=\"15180800\"] \n  12 -> 20 [size =\"15180800\"]\n  13 [size=\"14466560\", alpha=\"0.06\", expect_size=\"5786624\"] \n  13 -> 25 [size =\"5786624\"]\n  13 -> 32 [size =\"5786624\"]\n  13 -> 34 [size =\"5786624\"]\n  14 [size=\"58521600\", alpha=\"0.15\", expect_size=\"23408640\"] \n  14 -> 24 [size =\"23408640\"]\n  14 -> 27 [size =\"23408640\"]\n  14 -> 33 [size =\"23408640\"]\n  14 -> 35 [size =\"23408640\"]\n  15 [size=\"101859840\", alpha=\"0.09\", expect_size=\"40743936\"] \n  15 -> 30 [size =\"40743936\"]\n  15 -> 33 [size =\"40743936\"]\n  16 [size=\"53941760\", alpha=\"0.07\", expect_size=\"21576704\"] \n  16 -> 30 [size =\"21576704\"]\n  16 -> 31 [size =\"21576704\"]\n  17 [size=\"24230400\", alpha=\"0.15\", expect_size=\"9692160\"] \n  17 -> 26 [size =\"9692160\"]\n  17 -> 28 [size =\"9692160\"]\n  17 -> 30 [size =\"9692160\"]\n  17 -> 33 [size =\"9692160\"]\n  18 [size=\"13998080\", alpha=\"0.08\", expect_size=\"5599232\"] \n  18 -> 26 [size =\"5599232\"]\n  18 -> 28 [size =\"5599232\"]\n  18 -> 31 [size =\"5599232\"]\n  18 -> 32 [size =\"5599232\"]\n  19 [size=\"13209600\", alpha=\"0.19\", expect_size=\"5283840\"] \n  19 -> 24 [size =\"5283840\"]\n  19 -> 26 [size =\"5283840\"]\n  19 -> 27 [size =\"5283840\"]\n  19 -> 29 [size =\"5283840\"]\n  19 -> 31 [size =\"5283840\"]\n  20 [size=\"120460800\", alpha=\"0.04\", expect_size=\"48184320\"] \n  20 -> 24 [size =\"48184320\"]\n  20 -> 31 [size =\"48184320\"]\n  20 -> 33 [size =\"48184320\"]\n  21 [size=\"23808000\", alpha=\"0.00\", expect_size=\"9523200\"] \n  21 -> 28 [size =\"9523200\"]\n  21 -> 30 [size =\"9523200\"]\n  21 -> 35 [size =\"9523200\"]\n  22 [size=\"35765760\", alpha=\"0.09\", expect_size=\"14306304\"] \n  22 -> 24 [size =\"14306304\"]\n  22 -> 27 [size =\"14306304\"]\n  22 -> 31 [size =\"14306304\"]\n  22 -> 32 [size =\"14306304\"]\n  22 -> 34 [size =\"14306304\"]\n  22 -> 35 [size =\"14306304\"]\n  23 [size=\"57223680\", alpha=\"0.00\", expect_size=\"22889472\"] \n  23 -> 28 [size =\"22889472\"]\n  23 -> 31 [size =\"22889472\"]\n  23 -> 32 [size =\"22889472\"]\n  24 [size=\"90792960\", alpha=\"0.06\", expect_size=\"36317184\"] \n  25 [size=\"61560320\", alpha=\"0.08\", expect_size=\"24624128\"] \n  26 [size=\"112967680\", alpha=\"0.06\", expect_size=\"45187072\"] \n  27 [size=\"37905920\", alpha=\"0.02\", expect_size=\"15162368\"] \n  28 [size=\"124928000\", alpha=\"0.09\", expect_size=\"49971200\"] \n  29 [size=\"51479040\", alpha=\"0.20\", expect_size=\"20591616\"] \n  30 [size=\"45017600\", alpha=\"0.15\", expect_size=\"18007040\"] \n  31 [size=\"69685760\", alpha=\"0.10\", expect_size=\"27874304\"] \n  32 [size=\"69946880\", alpha=\"0.10\", expect_size=\"27978752\"] \n  33 [size=\"120327680\", alpha=\"0.10\", expect_size=\"48131072\"] \n  34 [size=\"120860160\", alpha=\"0.17\", expect_size=\"48344064\"] \n  35 [size=\"39429120\", alpha=\"0.20\", expect_size=\"15771648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131686400\", alpha=\"0.10\", expect_size=\"39505920\"] \n  1 -> 14 [size =\"39505920\"]\n  1 -> 15 [size =\"39505920\"]\n  1 -> 18 [size =\"39505920\"]\n  2 [size=\"143554560\", alpha=\"0.02\", expect_size=\"43066368\"] \n  2 -> 13 [size =\"43066368\"]\n  2 -> 15 [size =\"43066368\"]\n  2 -> 17 [size =\"43066368\"]\n  2 -> 18 [size =\"43066368\"]\n  3 [size=\"138864640\", alpha=\"0.15\", expect_size=\"41659392\"] \n  3 -> 12 [size =\"41659392\"]\n  3 -> 13 [size =\"41659392\"]\n  3 -> 15 [size =\"41659392\"]\n  4 [size=\"157716480\", alpha=\"0.15\", expect_size=\"47314944\"] \n  4 -> 12 [size =\"47314944\"]\n  4 -> 14 [size =\"47314944\"]\n  4 -> 18 [size =\"47314944\"]\n  5 [size=\"96884053\", alpha=\"0.03\", expect_size=\"29065216\"] \n  5 -> 12 [size =\"29065216\"]\n  5 -> 13 [size =\"29065216\"]\n  5 -> 15 [size =\"29065216\"]\n  6 [size=\"59071147\", alpha=\"0.02\", expect_size=\"17721344\"] \n  6 -> 15 [size =\"17721344\"]\n  6 -> 16 [size =\"17721344\"]\n  7 [size=\"121306453\", alpha=\"0.18\", expect_size=\"36391936\"] \n  7 -> 14 [size =\"36391936\"]\n  7 -> 15 [size =\"36391936\"]\n  7 -> 18 [size =\"36391936\"]\n  8 [size=\"109786453\", alpha=\"0.11\", expect_size=\"32935936\"] \n  8 -> 15 [size =\"32935936\"]\n  9 [size=\"122398720\", alpha=\"0.07\", expect_size=\"36719616\"] \n  9 -> 15 [size =\"36719616\"]\n  9 -> 16 [size =\"36719616\"]\n  9 -> 18 [size =\"36719616\"]\n  10 [size=\"41618773\", alpha=\"0.03\", expect_size=\"12485632\"] \n  10 -> 13 [size =\"12485632\"]\n  10 -> 14 [size =\"12485632\"]\n  10 -> 15 [size =\"12485632\"]\n  11 [size=\"169000960\", alpha=\"0.12\", expect_size=\"50700288\"] \n  11 -> 15 [size =\"50700288\"]\n  12 [size=\"91405653\", alpha=\"0.13\", expect_size=\"27421696\"] \n  12 -> 26 [size =\"27421696\"]\n  12 -> 27 [size =\"27421696\"]\n  12 -> 28 [size =\"27421696\"]\n  12 -> 33 [size =\"27421696\"]\n  13 [size=\"103860907\", alpha=\"0.16\", expect_size=\"31158272\"] \n  13 -> 22 [size =\"31158272\"]\n  13 -> 25 [size =\"31158272\"]\n  13 -> 26 [size =\"31158272\"]\n  13 -> 27 [size =\"31158272\"]\n  13 -> 28 [size =\"31158272\"]\n  13 -> 29 [size =\"31158272\"]\n  13 -> 30 [size =\"31158272\"]\n  13 -> 32 [size =\"31158272\"]\n  13 -> 33 [size =\"31158272\"]\n  14 [size=\"61136213\", alpha=\"0.13\", expect_size=\"18340864\"] \n  14 -> 20 [size =\"18340864\"]\n  14 -> 27 [size =\"18340864\"]\n  14 -> 28 [size =\"18340864\"]\n  14 -> 31 [size =\"18340864\"]\n  14 -> 32 [size =\"18340864\"]\n  14 -> 33 [size =\"18340864\"]\n  15 [size=\"21370880\", alpha=\"0.07\", expect_size=\"6411264\"] \n  15 -> 19 [size =\"6411264\"]\n  15 -> 22 [size =\"6411264\"]\n  15 -> 24 [size =\"6411264\"]\n  15 -> 25 [size =\"6411264\"]\n  15 -> 27 [size =\"6411264\"]\n  15 -> 31 [size =\"6411264\"]\n  15 -> 32 [size =\"6411264\"]\n  15 -> 33 [size =\"6411264\"]\n  16 [size=\"41642667\", alpha=\"0.02\", expect_size=\"12492800\"] \n  16 -> 20 [size =\"12492800\"]\n  16 -> 22 [size =\"12492800\"]\n  16 -> 25 [size =\"12492800\"]\n  16 -> 25 [size =\"12492800\"]\n  16 -> 28 [size =\"12492800\"]\n  16 -> 31 [size =\"12492800\"]\n  16 -> 33 [size =\"12492800\"]\n  17 [size=\"54855680\", alpha=\"0.08\", expect_size=\"16456704\"] \n  17 -> 20 [size =\"16456704\"]\n  17 -> 21 [size =\"16456704\"]\n  17 -> 22 [size =\"16456704\"]\n  17 -> 25 [size =\"16456704\"]\n  17 -> 26 [size =\"16456704\"]\n  17 -> 27 [size =\"16456704\"]\n  17 -> 28 [size =\"16456704\"]\n  17 -> 30 [size =\"16456704\"]\n  17 -> 31 [size =\"16456704\"]\n  18 [size=\"36952747\", alpha=\"0.02\", expect_size=\"11085824\"] \n  18 -> 19 [size =\"11085824\"]\n  18 -> 21 [size =\"11085824\"]\n  18 -> 22 [size =\"11085824\"]\n  18 -> 23 [size =\"11085824\"]\n  18 -> 24 [size =\"11085824\"]\n  18 -> 25 [size =\"11085824\"]\n  18 -> 26 [size =\"11085824\"]\n  18 -> 28 [size =\"11085824\"]\n  19 [size=\"120002560\", alpha=\"0.04\", expect_size=\"36000768\"] \n  19 -> 34 [size =\"36000768\"]\n  19 -> 35 [size =\"36000768\"]\n  20 [size=\"172513280\", alpha=\"0.08\", expect_size=\"51753984\"] \n  20 -> 34 [size =\"51753984\"]\n  20 -> 35 [size =\"51753984\"]\n  21 [size=\"38959787\", alpha=\"0.07\", expect_size=\"11687936\"] \n  21 -> 34 [size =\"11687936\"]\n  22 [size=\"136171520\", alpha=\"0.01\", expect_size=\"40851456\"] \n  22 -> 34 [size =\"40851456\"]\n  22 -> 35 [size =\"40851456\"]\n  23 [size=\"78240427\", alpha=\"0.11\", expect_size=\"23472128\"] \n  23 -> 34 [size =\"23472128\"]\n  23 -> 35 [size =\"23472128\"]\n  24 [size=\"46356480\", alpha=\"0.19\", expect_size=\"13906944\"] \n  24 -> 34 [size =\"13906944\"]\n  24 -> 35 [size =\"13906944\"]\n  25 [size=\"152408747\", alpha=\"0.17\", expect_size=\"45722624\"] \n  25 -> 34 [size =\"45722624\"]\n  26 [size=\"53903360\", alpha=\"0.00\", expect_size=\"16171008\"] \n  26 -> 34 [size =\"16171008\"]\n  27 [size=\"66822827\", alpha=\"0.17\", expect_size=\"20046848\"] \n  27 -> 34 [size =\"20046848\"]\n  27 -> 35 [size =\"20046848\"]\n  28 [size=\"132727467\", alpha=\"0.05\", expect_size=\"39818240\"] \n  28 -> 35 [size =\"39818240\"]\n  28 -> 35 [size =\"39818240\"]\n  29 [size=\"150210560\", alpha=\"0.06\", expect_size=\"45063168\"] \n  29 -> 35 [size =\"45063168\"]\n  30 [size=\"24753493\", alpha=\"0.11\", expect_size=\"7426048\"] \n  30 -> 34 [size =\"7426048\"]\n  30 -> 35 [size =\"7426048\"]\n  31 [size=\"88265387\", alpha=\"0.15\", expect_size=\"26479616\"] \n  31 -> 34 [size =\"26479616\"]\n  31 -> 35 [size =\"26479616\"]\n  32 [size=\"140386987\", alpha=\"0.08\", expect_size=\"42116096\"] \n  32 -> 34 [size =\"42116096\"]\n  32 -> 35 [size =\"42116096\"]\n  33 [size=\"149920427\", alpha=\"0.12\", expect_size=\"44976128\"] \n  33 -> 34 [size =\"44976128\"]\n  33 -> 35 [size =\"44976128\"]\n  34 [size=\"80957440\", alpha=\"0.02\", expect_size=\"24287232\"] \n  35 [size=\"73751893\", alpha=\"0.12\", expect_size=\"22125568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66572800\", alpha=\"0.06\", expect_size=\"26629120\"] \n  1 -> 24 [size =\"26629120\"]\n  1 -> 25 [size =\"26629120\"]\n  1 -> 32 [size =\"26629120\"]\n  1 -> 34 [size =\"26629120\"]\n  2 [size=\"87651840\", alpha=\"0.14\", expect_size=\"35060736\"] \n  2 -> 23 [size =\"35060736\"]\n  2 -> 32 [size =\"35060736\"]\n  2 -> 35 [size =\"35060736\"]\n  3 [size=\"62594560\", alpha=\"0.13\", expect_size=\"25037824\"] \n  3 -> 22 [size =\"25037824\"]\n  3 -> 32 [size =\"25037824\"]\n  3 -> 34 [size =\"25037824\"]\n  3 -> 35 [size =\"25037824\"]\n  4 [size=\"96419840\", alpha=\"0.02\", expect_size=\"38567936\"] \n  4 -> 28 [size =\"38567936\"]\n  4 -> 29 [size =\"38567936\"]\n  4 -> 33 [size =\"38567936\"]\n  4 -> 35 [size =\"38567936\"]\n  5 [size=\"114695680\", alpha=\"0.01\", expect_size=\"45878272\"] \n  5 -> 24 [size =\"45878272\"]\n  5 -> 28 [size =\"45878272\"]\n  5 -> 29 [size =\"45878272\"]\n  5 -> 33 [size =\"45878272\"]\n  5 -> 35 [size =\"45878272\"]\n  6 [size=\"87987200\", alpha=\"0.15\", expect_size=\"35194880\"] \n  6 -> 24 [size =\"35194880\"]\n  6 -> 28 [size =\"35194880\"]\n  6 -> 29 [size =\"35194880\"]\n  6 -> 31 [size =\"35194880\"]\n  6 -> 32 [size =\"35194880\"]\n  6 -> 35 [size =\"35194880\"]\n  7 [size=\"120145920\", alpha=\"0.16\", expect_size=\"48058368\"] \n  7 -> 29 [size =\"48058368\"]\n  7 -> 32 [size =\"48058368\"]\n  8 [size=\"33448960\", alpha=\"0.02\", expect_size=\"13379584\"] \n  8 -> 29 [size =\"13379584\"]\n  8 -> 33 [size =\"13379584\"]\n  9 [size=\"123118080\", alpha=\"0.05\", expect_size=\"49247232\"] \n  9 -> 22 [size =\"49247232\"]\n  9 -> 31 [size =\"49247232\"]\n  9 -> 33 [size =\"49247232\"]\n  10 [size=\"20157440\", alpha=\"0.14\", expect_size=\"8062976\"] \n  10 -> 22 [size =\"8062976\"]\n  10 -> 32 [size =\"8062976\"]\n  10 -> 33 [size =\"8062976\"]\n  11 [size=\"32102400\", alpha=\"0.07\", expect_size=\"12840960\"] \n  11 -> 22 [size =\"12840960\"]\n  11 -> 23 [size =\"12840960\"]\n  11 -> 33 [size =\"12840960\"]\n  11 -> 34 [size =\"12840960\"]\n  11 -> 35 [size =\"12840960\"]\n  12 [size=\"66664960\", alpha=\"0.04\", expect_size=\"26665984\"] \n  12 -> 22 [size =\"26665984\"]\n  12 -> 32 [size =\"26665984\"]\n  12 -> 34 [size =\"26665984\"]\n  13 [size=\"28377600\", alpha=\"0.11\", expect_size=\"11351040\"] \n  13 -> 27 [size =\"11351040\"]\n  13 -> 32 [size =\"11351040\"]\n  14 [size=\"102371840\", alpha=\"0.12\", expect_size=\"40948736\"] \n  14 -> 22 [size =\"40948736\"]\n  14 -> 29 [size =\"40948736\"]\n  14 -> 32 [size =\"40948736\"]\n  15 [size=\"111549440\", alpha=\"0.16\", expect_size=\"44619776\"] \n  15 -> 22 [size =\"44619776\"]\n  15 -> 23 [size =\"44619776\"]\n  15 -> 29 [size =\"44619776\"]\n  15 -> 33 [size =\"44619776\"]\n  15 -> 34 [size =\"44619776\"]\n  16 [size=\"117985280\", alpha=\"0.10\", expect_size=\"47194112\"] \n  16 -> 29 [size =\"47194112\"]\n  16 -> 32 [size =\"47194112\"]\n  16 -> 33 [size =\"47194112\"]\n  16 -> 35 [size =\"47194112\"]\n  17 [size=\"89766400\", alpha=\"0.01\", expect_size=\"35906560\"] \n  17 -> 32 [size =\"35906560\"]\n  17 -> 33 [size =\"35906560\"]\n  17 -> 34 [size =\"35906560\"]\n  17 -> 35 [size =\"35906560\"]\n  18 [size=\"65059840\", alpha=\"0.01\", expect_size=\"26023936\"] \n  18 -> 27 [size =\"26023936\"]\n  18 -> 33 [size =\"26023936\"]\n  18 -> 35 [size =\"26023936\"]\n  19 [size=\"78192640\", alpha=\"0.13\", expect_size=\"31277056\"] \n  19 -> 30 [size =\"31277056\"]\n  20 [size=\"109870080\", alpha=\"0.12\", expect_size=\"43948032\"] \n  20 -> 29 [size =\"43948032\"]\n  20 -> 35 [size =\"43948032\"]\n  21 [size=\"72655360\", alpha=\"0.00\", expect_size=\"29062144\"] \n  21 -> 22 [size =\"29062144\"]\n  21 -> 26 [size =\"29062144\"]\n  21 -> 35 [size =\"29062144\"]\n  22 [size=\"114864640\", alpha=\"0.01\", expect_size=\"45945856\"] \n  23 [size=\"22438400\", alpha=\"0.10\", expect_size=\"8975360\"] \n  24 [size=\"86658560\", alpha=\"0.13\", expect_size=\"34663424\"] \n  25 [size=\"37370880\", alpha=\"0.13\", expect_size=\"14948352\"] \n  26 [size=\"130664960\", alpha=\"0.06\", expect_size=\"52265984\"] \n  27 [size=\"69762560\", alpha=\"0.17\", expect_size=\"27905024\"] \n  28 [size=\"74977280\", alpha=\"0.12\", expect_size=\"29990912\"] \n  29 [size=\"80112640\", alpha=\"0.05\", expect_size=\"32045056\"] \n  30 [size=\"41564160\", alpha=\"0.19\", expect_size=\"16625664\"] \n  31 [size=\"114147840\", alpha=\"0.17\", expect_size=\"45659136\"] \n  32 [size=\"115399680\", alpha=\"0.04\", expect_size=\"46159872\"] \n  33 [size=\"119869440\", alpha=\"0.13\", expect_size=\"47947776\"] \n  34 [size=\"59077120\", alpha=\"0.18\", expect_size=\"23630848\"] \n  35 [size=\"16340480\", alpha=\"0.19\", expect_size=\"6536192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60149760\", alpha=\"0.20\", expect_size=\"18044928\"] \n  1 -> 2 [size =\"18044928\"]\n  2 [size=\"23220907\", alpha=\"0.09\", expect_size=\"6966272\"] \n  2 -> 3 [size =\"6966272\"]\n  3 [size=\"124818773\", alpha=\"0.06\", expect_size=\"37445632\"] \n  3 -> 4 [size =\"37445632\"]\n  4 [size=\"74656427\", alpha=\"0.09\", expect_size=\"22396928\"] \n  4 -> 5 [size =\"22396928\"]\n  5 [size=\"61678933\", alpha=\"0.10\", expect_size=\"18503680\"] \n  5 -> 6 [size =\"18503680\"]\n  6 [size=\"74912427\", alpha=\"0.14\", expect_size=\"22473728\"] \n  6 -> 7 [size =\"22473728\"]\n  7 [size=\"105700693\", alpha=\"0.13\", expect_size=\"31710208\"] \n  7 -> 8 [size =\"31710208\"]\n  8 [size=\"37956267\", alpha=\"0.13\", expect_size=\"11386880\"] \n  8 -> 9 [size =\"11386880\"]\n  9 [size=\"30508373\", alpha=\"0.06\", expect_size=\"9152512\"] \n  9 -> 10 [size =\"9152512\"]\n  10 [size=\"122497707\", alpha=\"0.01\", expect_size=\"36749312\"] \n  10 -> 11 [size =\"36749312\"]\n  11 [size=\"27750400\", alpha=\"0.17\", expect_size=\"8325120\"] \n  11 -> 12 [size =\"8325120\"]\n  12 [size=\"24180053\", alpha=\"0.03\", expect_size=\"7254016\"] \n  12 -> 13 [size =\"7254016\"]\n  13 [size=\"98604373\", alpha=\"0.00\", expect_size=\"29581312\"] \n  13 -> 14 [size =\"29581312\"]\n  14 [size=\"147647147\", alpha=\"0.04\", expect_size=\"44294144\"] \n  14 -> 15 [size =\"44294144\"]\n  15 [size=\"59159893\", alpha=\"0.11\", expect_size=\"17747968\"] \n  15 -> 16 [size =\"17747968\"]\n  16 [size=\"139973973\", alpha=\"0.19\", expect_size=\"41992192\"] \n  16 -> 17 [size =\"41992192\"]\n  17 [size=\"89507840\", alpha=\"0.16\", expect_size=\"26852352\"] \n  17 -> 18 [size =\"26852352\"]\n  18 [size=\"31805440\", alpha=\"0.09\", expect_size=\"9541632\"] \n  18 -> 19 [size =\"9541632\"]\n  19 [size=\"133765120\", alpha=\"0.16\", expect_size=\"40129536\"] \n  19 -> 20 [size =\"40129536\"]\n  20 [size=\"26098347\", alpha=\"0.05\", expect_size=\"7829504\"] \n  20 -> 21 [size =\"7829504\"]\n  21 [size=\"32337920\", alpha=\"0.19\", expect_size=\"9701376\"] \n  21 -> 22 [size =\"9701376\"]\n  22 [size=\"163768320\", alpha=\"0.15\", expect_size=\"49130496\"] \n  22 -> 23 [size =\"49130496\"]\n  23 [size=\"31648427\", alpha=\"0.04\", expect_size=\"9494528\"] \n  23 -> 24 [size =\"9494528\"]\n  24 [size=\"33546240\", alpha=\"0.20\", expect_size=\"10063872\"] \n  24 -> 25 [size =\"10063872\"]\n  25 [size=\"65938773\", alpha=\"0.02\", expect_size=\"19781632\"] \n  25 -> 26 [size =\"19781632\"]\n  26 [size=\"154050560\", alpha=\"0.11\", expect_size=\"46215168\"] \n  26 -> 27 [size =\"46215168\"]\n  27 [size=\"148288853\", alpha=\"0.11\", expect_size=\"44486656\"] \n  27 -> 28 [size =\"44486656\"]\n  28 [size=\"113329493\", alpha=\"0.14\", expect_size=\"33998848\"] \n  28 -> 29 [size =\"33998848\"]\n  29 [size=\"25323520\", alpha=\"0.19\", expect_size=\"7597056\"] \n  29 -> 30 [size =\"7597056\"]\n  30 [size=\"149043200\", alpha=\"0.17\", expect_size=\"44712960\"] \n  30 -> 31 [size =\"44712960\"]\n  31 [size=\"30010027\", alpha=\"0.16\", expect_size=\"9003008\"] \n  31 -> 32 [size =\"9003008\"]\n  32 [size=\"25477120\", alpha=\"0.16\", expect_size=\"7643136\"] \n  32 -> 33 [size =\"7643136\"]\n  33 [size=\"141185707\", alpha=\"0.07\", expect_size=\"42355712\"] \n  33 -> 34 [size =\"42355712\"]\n  34 [size=\"169912320\", alpha=\"0.14\", expect_size=\"50973696\"] \n  34 -> 35 [size =\"50973696\"]\n  35 [size=\"168837120\", alpha=\"0.06\", expect_size=\"50651136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26874880\", alpha=\"0.15\", expect_size=\"10749952\"] \n  1 -> 2 [size =\"10749952\"]\n  2 [size=\"69281280\", alpha=\"0.19\", expect_size=\"27712512\"] \n  2 -> 3 [size =\"27712512\"]\n  3 [size=\"30333440\", alpha=\"0.12\", expect_size=\"12133376\"] \n  3 -> 4 [size =\"12133376\"]\n  4 [size=\"123581440\", alpha=\"0.13\", expect_size=\"49432576\"] \n  4 -> 5 [size =\"49432576\"]\n  5 [size=\"39546880\", alpha=\"0.02\", expect_size=\"15818752\"] \n  5 -> 6 [size =\"15818752\"]\n  6 [size=\"88619520\", alpha=\"0.18\", expect_size=\"35447808\"] \n  6 -> 7 [size =\"35447808\"]\n  7 [size=\"42741760\", alpha=\"0.06\", expect_size=\"17096704\"] \n  7 -> 8 [size =\"17096704\"]\n  8 [size=\"106375680\", alpha=\"0.05\", expect_size=\"42550272\"] \n  8 -> 9 [size =\"42550272\"]\n  9 [size=\"124229120\", alpha=\"0.03\", expect_size=\"49691648\"] \n  9 -> 10 [size =\"49691648\"]\n  10 [size=\"65579520\", alpha=\"0.15\", expect_size=\"26231808\"] \n  10 -> 11 [size =\"26231808\"]\n  11 [size=\"60720640\", alpha=\"0.17\", expect_size=\"24288256\"] \n  11 -> 12 [size =\"24288256\"]\n  12 [size=\"32901120\", alpha=\"0.01\", expect_size=\"13160448\"] \n  12 -> 13 [size =\"13160448\"]\n  13 [size=\"25085440\", alpha=\"0.13\", expect_size=\"10034176\"] \n  13 -> 14 [size =\"10034176\"]\n  14 [size=\"93534720\", alpha=\"0.12\", expect_size=\"37413888\"] \n  14 -> 15 [size =\"37413888\"]\n  15 [size=\"50071040\", alpha=\"0.15\", expect_size=\"20028416\"] \n  15 -> 16 [size =\"20028416\"]\n  16 [size=\"62128640\", alpha=\"0.01\", expect_size=\"24851456\"] \n  16 -> 17 [size =\"24851456\"]\n  17 [size=\"48624640\", alpha=\"0.01\", expect_size=\"19449856\"] \n  17 -> 18 [size =\"19449856\"]\n  18 [size=\"85232640\", alpha=\"0.17\", expect_size=\"34093056\"] \n  18 -> 19 [size =\"34093056\"]\n  19 [size=\"112422400\", alpha=\"0.19\", expect_size=\"44968960\"] \n  19 -> 20 [size =\"44968960\"]\n  20 [size=\"129735680\", alpha=\"0.13\", expect_size=\"51894272\"] \n  20 -> 21 [size =\"51894272\"]\n  21 [size=\"97733120\", alpha=\"0.09\", expect_size=\"39093248\"] \n  21 -> 22 [size =\"39093248\"]\n  22 [size=\"77475840\", alpha=\"0.15\", expect_size=\"30990336\"] \n  22 -> 23 [size =\"30990336\"]\n  23 [size=\"85992960\", alpha=\"0.04\", expect_size=\"34397184\"] \n  23 -> 24 [size =\"34397184\"]\n  24 [size=\"47493120\", alpha=\"0.11\", expect_size=\"18997248\"] \n  24 -> 25 [size =\"18997248\"]\n  25 [size=\"119119360\", alpha=\"0.03\", expect_size=\"47647744\"] \n  25 -> 26 [size =\"47647744\"]\n  26 [size=\"88235520\", alpha=\"0.08\", expect_size=\"35294208\"] \n  26 -> 27 [size =\"35294208\"]\n  27 [size=\"96849920\", alpha=\"0.18\", expect_size=\"38739968\"] \n  27 -> 28 [size =\"38739968\"]\n  28 [size=\"105497600\", alpha=\"0.03\", expect_size=\"42199040\"] \n  28 -> 29 [size =\"42199040\"]\n  29 [size=\"88478720\", alpha=\"0.07\", expect_size=\"35391488\"] \n  29 -> 30 [size =\"35391488\"]\n  30 [size=\"84477440\", alpha=\"0.01\", expect_size=\"33790976\"] \n  30 -> 31 [size =\"33790976\"]\n  31 [size=\"44456960\", alpha=\"0.02\", expect_size=\"17782784\"] \n  31 -> 32 [size =\"17782784\"]\n  32 [size=\"100149760\", alpha=\"0.07\", expect_size=\"40059904\"] \n  32 -> 33 [size =\"40059904\"]\n  33 [size=\"71802880\", alpha=\"0.13\", expect_size=\"28721152\"] \n  33 -> 34 [size =\"28721152\"]\n  34 [size=\"94604800\", alpha=\"0.14\", expect_size=\"37841920\"] \n  34 -> 35 [size =\"37841920\"]\n  35 [size=\"43105280\", alpha=\"0.00\", expect_size=\"17242112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138335573\", alpha=\"0.08\", expect_size=\"41500672\"] \n  1 -> 27 [size =\"41500672\"]\n  2 [size=\"89227947\", alpha=\"0.09\", expect_size=\"26768384\"] \n  2 -> 30 [size =\"26768384\"]\n  3 [size=\"135738027\", alpha=\"0.14\", expect_size=\"40721408\"] \n  3 -> 27 [size =\"40721408\"]\n  3 -> 32 [size =\"40721408\"]\n  3 -> 35 [size =\"40721408\"]\n  4 [size=\"123999573\", alpha=\"0.08\", expect_size=\"37199872\"] \n  4 -> 26 [size =\"37199872\"]\n  4 -> 31 [size =\"37199872\"]\n  4 -> 33 [size =\"37199872\"]\n  5 [size=\"144994987\", alpha=\"0.13\", expect_size=\"43498496\"] \n  5 -> 25 [size =\"43498496\"]\n  5 -> 27 [size =\"43498496\"]\n  5 -> 28 [size =\"43498496\"]\n  5 -> 33 [size =\"43498496\"]\n  6 [size=\"130833067\", alpha=\"0.15\", expect_size=\"39249920\"] \n  6 -> 25 [size =\"39249920\"]\n  6 -> 26 [size =\"39249920\"]\n  6 -> 27 [size =\"39249920\"]\n  6 -> 33 [size =\"39249920\"]\n  6 -> 35 [size =\"39249920\"]\n  7 [size=\"149981867\", alpha=\"0.00\", expect_size=\"44994560\"] \n  7 -> 25 [size =\"44994560\"]\n  7 -> 27 [size =\"44994560\"]\n  7 -> 32 [size =\"44994560\"]\n  7 -> 33 [size =\"44994560\"]\n  7 -> 35 [size =\"44994560\"]\n  8 [size=\"159156907\", alpha=\"0.10\", expect_size=\"47747072\"] \n  8 -> 27 [size =\"47747072\"]\n  8 -> 30 [size =\"47747072\"]\n  8 -> 33 [size =\"47747072\"]\n  8 -> 35 [size =\"47747072\"]\n  9 [size=\"126583467\", alpha=\"0.17\", expect_size=\"37975040\"] \n  9 -> 25 [size =\"37975040\"]\n  9 -> 26 [size =\"37975040\"]\n  9 -> 27 [size =\"37975040\"]\n  9 -> 29 [size =\"37975040\"]\n  9 -> 32 [size =\"37975040\"]\n  10 [size=\"87695360\", alpha=\"0.08\", expect_size=\"26308608\"] \n  10 -> 26 [size =\"26308608\"]\n  10 -> 27 [size =\"26308608\"]\n  11 [size=\"21804373\", alpha=\"0.10\", expect_size=\"6541312\"] \n  11 -> 27 [size =\"6541312\"]\n  11 -> 33 [size =\"6541312\"]\n  12 [size=\"84527787\", alpha=\"0.10\", expect_size=\"25358336\"] \n  12 -> 35 [size =\"25358336\"]\n  13 [size=\"154917547\", alpha=\"0.07\", expect_size=\"46475264\"] \n  13 -> 27 [size =\"46475264\"]\n  13 -> 30 [size =\"46475264\"]\n  13 -> 33 [size =\"46475264\"]\n  14 [size=\"105581227\", alpha=\"0.16\", expect_size=\"31674368\"] \n  14 -> 27 [size =\"31674368\"]\n  14 -> 32 [size =\"31674368\"]\n  15 [size=\"167096320\", alpha=\"0.15\", expect_size=\"50128896\"] \n  15 -> 32 [size =\"50128896\"]\n  15 -> 32 [size =\"50128896\"]\n  16 [size=\"111616000\", alpha=\"0.02\", expect_size=\"33484800\"] \n  16 -> 32 [size =\"33484800\"]\n  16 -> 35 [size =\"33484800\"]\n  17 [size=\"69993813\", alpha=\"0.10\", expect_size=\"20998144\"] \n  17 -> 26 [size =\"20998144\"]\n  17 -> 30 [size =\"20998144\"]\n  17 -> 35 [size =\"20998144\"]\n  18 [size=\"71796053\", alpha=\"0.17\", expect_size=\"21538816\"] \n  18 -> 25 [size =\"21538816\"]\n  18 -> 26 [size =\"21538816\"]\n  19 [size=\"149111467\", alpha=\"0.13\", expect_size=\"44733440\"] \n  19 -> 25 [size =\"44733440\"]\n  19 -> 35 [size =\"44733440\"]\n  20 [size=\"122122240\", alpha=\"0.06\", expect_size=\"36636672\"] \n  20 -> 31 [size =\"36636672\"]\n  20 -> 32 [size =\"36636672\"]\n  20 -> 35 [size =\"36636672\"]\n  21 [size=\"26920960\", alpha=\"0.14\", expect_size=\"8076288\"] \n  21 -> 31 [size =\"8076288\"]\n  21 -> 32 [size =\"8076288\"]\n  21 -> 33 [size =\"8076288\"]\n  21 -> 35 [size =\"8076288\"]\n  22 [size=\"103758507\", alpha=\"0.11\", expect_size=\"31127552\"] \n  22 -> 32 [size =\"31127552\"]\n  23 [size=\"27149653\", alpha=\"0.04\", expect_size=\"8144896\"] \n  23 -> 25 [size =\"8144896\"]\n  23 -> 34 [size =\"8144896\"]\n  24 [size=\"81923413\", alpha=\"0.09\", expect_size=\"24577024\"] \n  24 -> 27 [size =\"24577024\"]\n  25 [size=\"49353387\", alpha=\"0.11\", expect_size=\"14806016\"] \n  26 [size=\"168591360\", alpha=\"0.08\", expect_size=\"50577408\"] \n  27 [size=\"28405760\", alpha=\"0.01\", expect_size=\"8521728\"] \n  28 [size=\"105912320\", alpha=\"0.12\", expect_size=\"31773696\"] \n  29 [size=\"85067093\", alpha=\"0.17\", expect_size=\"25520128\"] \n  30 [size=\"32768000\", alpha=\"0.11\", expect_size=\"9830400\"] \n  31 [size=\"80346453\", alpha=\"0.06\", expect_size=\"24103936\"] \n  32 [size=\"34088960\", alpha=\"0.09\", expect_size=\"10226688\"] \n  33 [size=\"123030187\", alpha=\"0.10\", expect_size=\"36909056\"] \n  34 [size=\"150869333\", alpha=\"0.02\", expect_size=\"45260800\"] \n  35 [size=\"66836480\", alpha=\"0.13\", expect_size=\"20050944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139567787\", alpha=\"0.06\", expect_size=\"41870336\"] \n  1 -> 2 [size =\"41870336\"]\n  2 [size=\"146326187\", alpha=\"0.07\", expect_size=\"43897856\"] \n  2 -> 3 [size =\"43897856\"]\n  3 [size=\"100997120\", alpha=\"0.12\", expect_size=\"30299136\"] \n  3 -> 4 [size =\"30299136\"]\n  4 [size=\"101399893\", alpha=\"0.10\", expect_size=\"30419968\"] \n  4 -> 5 [size =\"30419968\"]\n  5 [size=\"25917440\", alpha=\"0.05\", expect_size=\"7775232\"] \n  5 -> 6 [size =\"7775232\"]\n  6 [size=\"115681280\", alpha=\"0.05\", expect_size=\"34704384\"] \n  6 -> 7 [size =\"34704384\"]\n  7 [size=\"26221227\", alpha=\"0.12\", expect_size=\"7866368\"] \n  7 -> 8 [size =\"7866368\"]\n  8 [size=\"99723947\", alpha=\"0.16\", expect_size=\"29917184\"] \n  8 -> 9 [size =\"29917184\"]\n  9 [size=\"26470400\", alpha=\"0.04\", expect_size=\"7941120\"] \n  9 -> 10 [size =\"7941120\"]\n  10 [size=\"77056000\", alpha=\"0.09\", expect_size=\"23116800\"] \n  10 -> 11 [size =\"23116800\"]\n  11 [size=\"165259947\", alpha=\"0.03\", expect_size=\"49577984\"] \n  11 -> 12 [size =\"49577984\"]\n  12 [size=\"57282560\", alpha=\"0.14\", expect_size=\"17184768\"] \n  12 -> 13 [size =\"17184768\"]\n  13 [size=\"108492800\", alpha=\"0.15\", expect_size=\"32547840\"] \n  13 -> 14 [size =\"32547840\"]\n  14 [size=\"42717867\", alpha=\"0.12\", expect_size=\"12815360\"] \n  14 -> 15 [size =\"12815360\"]\n  15 [size=\"117729280\", alpha=\"0.04\", expect_size=\"35318784\"] \n  15 -> 16 [size =\"35318784\"]\n  16 [size=\"153395200\", alpha=\"0.06\", expect_size=\"46018560\"] \n  16 -> 17 [size =\"46018560\"]\n  17 [size=\"32993280\", alpha=\"0.02\", expect_size=\"9897984\"] \n  17 -> 18 [size =\"9897984\"]\n  18 [size=\"125252267\", alpha=\"0.10\", expect_size=\"37575680\"] \n  18 -> 19 [size =\"37575680\"]\n  19 [size=\"93651627\", alpha=\"0.19\", expect_size=\"28095488\"] \n  19 -> 20 [size =\"28095488\"]\n  20 [size=\"123777707\", alpha=\"0.19\", expect_size=\"37133312\"] \n  20 -> 21 [size =\"37133312\"]\n  21 [size=\"39191893\", alpha=\"0.15\", expect_size=\"11757568\"] \n  21 -> 22 [size =\"11757568\"]\n  22 [size=\"60590080\", alpha=\"0.07\", expect_size=\"18177024\"] \n  22 -> 23 [size =\"18177024\"]\n  23 [size=\"167379627\", alpha=\"0.09\", expect_size=\"50213888\"] \n  23 -> 24 [size =\"50213888\"]\n  24 [size=\"124958720\", alpha=\"0.02\", expect_size=\"37487616\"] \n  24 -> 25 [size =\"37487616\"]\n  25 [size=\"59555840\", alpha=\"0.17\", expect_size=\"17866752\"] \n  25 -> 26 [size =\"17866752\"]\n  26 [size=\"90620587\", alpha=\"0.03\", expect_size=\"27186176\"] \n  26 -> 27 [size =\"27186176\"]\n  27 [size=\"139376640\", alpha=\"0.11\", expect_size=\"41812992\"] \n  27 -> 28 [size =\"41812992\"]\n  28 [size=\"151906987\", alpha=\"0.10\", expect_size=\"45572096\"] \n  28 -> 29 [size =\"45572096\"]\n  29 [size=\"70014293\", alpha=\"0.09\", expect_size=\"21004288\"] \n  29 -> 30 [size =\"21004288\"]\n  30 [size=\"65764693\", alpha=\"0.16\", expect_size=\"19729408\"] \n  30 -> 31 [size =\"19729408\"]\n  31 [size=\"61289813\", alpha=\"0.02\", expect_size=\"18386944\"] \n  31 -> 32 [size =\"18386944\"]\n  32 [size=\"21398187\", alpha=\"0.13\", expect_size=\"6419456\"] \n  32 -> 33 [size =\"6419456\"]\n  33 [size=\"74943147\", alpha=\"0.15\", expect_size=\"22482944\"] \n  33 -> 34 [size =\"22482944\"]\n  34 [size=\"148162560\", alpha=\"0.01\", expect_size=\"44448768\"] \n  34 -> 35 [size =\"44448768\"]\n  35 [size=\"167693653\", alpha=\"0.19\", expect_size=\"50308096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103411712\", alpha=\"0.13\", expect_size=\"51705856\"] \n  1 -> 23 [size =\"51705856\"]\n  1 -> 26 [size =\"51705856\"]\n  1 -> 30 [size =\"51705856\"]\n  2 [size=\"43163648\", alpha=\"0.03\", expect_size=\"21581824\"] \n  2 -> 26 [size =\"21581824\"]\n  2 -> 29 [size =\"21581824\"]\n  2 -> 31 [size =\"21581824\"]\n  2 -> 34 [size =\"21581824\"]\n  3 [size=\"55973888\", alpha=\"0.15\", expect_size=\"27986944\"] \n  3 -> 25 [size =\"27986944\"]\n  3 -> 26 [size =\"27986944\"]\n  3 -> 29 [size =\"27986944\"]\n  4 [size=\"42065920\", alpha=\"0.12\", expect_size=\"21032960\"] \n  4 -> 29 [size =\"21032960\"]\n  4 -> 32 [size =\"21032960\"]\n  5 [size=\"84932608\", alpha=\"0.08\", expect_size=\"42466304\"] \n  5 -> 23 [size =\"42466304\"]\n  5 -> 24 [size =\"42466304\"]\n  5 -> 28 [size =\"42466304\"]\n  5 -> 34 [size =\"42466304\"]\n  6 [size=\"85213184\", alpha=\"0.18\", expect_size=\"42606592\"] \n  6 -> 23 [size =\"42606592\"]\n  6 -> 33 [size =\"42606592\"]\n  7 [size=\"71708672\", alpha=\"0.07\", expect_size=\"35854336\"] \n  7 -> 23 [size =\"35854336\"]\n  7 -> 26 [size =\"35854336\"]\n  7 -> 31 [size =\"35854336\"]\n  7 -> 32 [size =\"35854336\"]\n  7 -> 33 [size =\"35854336\"]\n  7 -> 34 [size =\"35854336\"]\n  8 [size=\"95936512\", alpha=\"0.09\", expect_size=\"47968256\"] \n  8 -> 26 [size =\"47968256\"]\n  8 -> 27 [size =\"47968256\"]\n  8 -> 34 [size =\"47968256\"]\n  9 [size=\"63047680\", alpha=\"0.05\", expect_size=\"31523840\"] \n  9 -> 22 [size =\"31523840\"]\n  9 -> 23 [size =\"31523840\"]\n  9 -> 34 [size =\"31523840\"]\n  10 [size=\"79454208\", alpha=\"0.05\", expect_size=\"39727104\"] \n  10 -> 22 [size =\"39727104\"]\n  10 -> 23 [size =\"39727104\"]\n  10 -> 30 [size =\"39727104\"]\n  10 -> 33 [size =\"39727104\"]\n  11 [size=\"102017024\", alpha=\"0.12\", expect_size=\"51008512\"] \n  11 -> 30 [size =\"51008512\"]\n  11 -> 32 [size =\"51008512\"]\n  11 -> 33 [size =\"51008512\"]\n  12 [size=\"68210688\", alpha=\"0.12\", expect_size=\"34105344\"] \n  12 -> 26 [size =\"34105344\"]\n  12 -> 30 [size =\"34105344\"]\n  12 -> 33 [size =\"34105344\"]\n  13 [size=\"81029120\", alpha=\"0.15\", expect_size=\"40514560\"] \n  13 -> 22 [size =\"40514560\"]\n  13 -> 26 [size =\"40514560\"]\n  13 -> 29 [size =\"40514560\"]\n  13 -> 30 [size =\"40514560\"]\n  13 -> 34 [size =\"40514560\"]\n  14 [size=\"55926784\", alpha=\"0.07\", expect_size=\"27963392\"] \n  14 -> 22 [size =\"27963392\"]\n  14 -> 25 [size =\"27963392\"]\n  14 -> 28 [size =\"27963392\"]\n  14 -> 29 [size =\"27963392\"]\n  14 -> 30 [size =\"27963392\"]\n  14 -> 32 [size =\"27963392\"]\n  14 -> 35 [size =\"27963392\"]\n  15 [size=\"19116032\", alpha=\"0.13\", expect_size=\"9558016\"] \n  15 -> 30 [size =\"9558016\"]\n  15 -> 31 [size =\"9558016\"]\n  16 [size=\"55709696\", alpha=\"0.16\", expect_size=\"27854848\"] \n  16 -> 23 [size =\"27854848\"]\n  16 -> 30 [size =\"27854848\"]\n  16 -> 32 [size =\"27854848\"]\n  17 [size=\"46231552\", alpha=\"0.08\", expect_size=\"23115776\"] \n  17 -> 23 [size =\"23115776\"]\n  17 -> 25 [size =\"23115776\"]\n  17 -> 32 [size =\"23115776\"]\n  18 [size=\"78587904\", alpha=\"0.14\", expect_size=\"39293952\"] \n  18 -> 29 [size =\"39293952\"]\n  18 -> 30 [size =\"39293952\"]\n  18 -> 33 [size =\"39293952\"]\n  19 [size=\"25061376\", alpha=\"0.07\", expect_size=\"12530688\"] \n  19 -> 30 [size =\"12530688\"]\n  20 [size=\"46499840\", alpha=\"0.09\", expect_size=\"23249920\"] \n  20 -> 22 [size =\"23249920\"]\n  20 -> 23 [size =\"23249920\"]\n  20 -> 32 [size =\"23249920\"]\n  20 -> 35 [size =\"23249920\"]\n  21 [size=\"68427776\", alpha=\"0.11\", expect_size=\"34213888\"] \n  21 -> 23 [size =\"34213888\"]\n  21 -> 30 [size =\"34213888\"]\n  22 [size=\"31897600\", alpha=\"0.01\", expect_size=\"15948800\"] \n  23 [size=\"87480320\", alpha=\"0.20\", expect_size=\"43740160\"] \n  24 [size=\"65953792\", alpha=\"0.05\", expect_size=\"32976896\"] \n  25 [size=\"97333248\", alpha=\"0.06\", expect_size=\"48666624\"] \n  26 [size=\"64196608\", alpha=\"0.04\", expect_size=\"32098304\"] \n  27 [size=\"44154880\", alpha=\"0.14\", expect_size=\"22077440\"] \n  28 [size=\"82548736\", alpha=\"0.02\", expect_size=\"41274368\"] \n  29 [size=\"56283136\", alpha=\"0.01\", expect_size=\"28141568\"] \n  30 [size=\"87392256\", alpha=\"0.15\", expect_size=\"43696128\"] \n  31 [size=\"36386816\", alpha=\"0.09\", expect_size=\"18193408\"] \n  32 [size=\"90566656\", alpha=\"0.14\", expect_size=\"45283328\"] \n  33 [size=\"93868032\", alpha=\"0.15\", expect_size=\"46934016\"] \n  34 [size=\"91779072\", alpha=\"0.05\", expect_size=\"45889536\"] \n  35 [size=\"21510144\", alpha=\"0.17\", expect_size=\"10755072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100827136\", alpha=\"0.18\", expect_size=\"50413568\"] \n  1 -> 2 [size =\"50413568\"]\n  1 -> 3 [size =\"50413568\"]\n  2 [size=\"89264128\", alpha=\"0.02\", expect_size=\"44632064\"] \n  2 -> 4 [size =\"44632064\"]\n  3 [size=\"47716352\", alpha=\"0.02\", expect_size=\"23858176\"] \n  3 -> 4 [size =\"23858176\"]\n  3 -> 5 [size =\"23858176\"]\n  4 [size=\"95199232\", alpha=\"0.06\", expect_size=\"47599616\"] \n  4 -> 6 [size =\"47599616\"]\n  5 [size=\"21385216\", alpha=\"0.03\", expect_size=\"10692608\"] \n  6 [size=\"91533312\", alpha=\"0.00\", expect_size=\"45766656\"] \n  6 -> 7 [size =\"45766656\"]\n  6 -> 8 [size =\"45766656\"]\n  7 [size=\"16224256\", alpha=\"0.05\", expect_size=\"8112128\"] \n  8 [size=\"85809152\", alpha=\"0.05\", expect_size=\"42904576\"] \n  8 -> 9 [size =\"42904576\"]\n  9 [size=\"10983424\", alpha=\"0.09\", expect_size=\"5491712\"] \n  9 -> 10 [size =\"5491712\"]\n  10 [size=\"32638976\", alpha=\"0.05\", expect_size=\"16319488\"] \n  10 -> 11 [size =\"16319488\"]\n  11 [size=\"20289536\", alpha=\"0.04\", expect_size=\"10144768\"] \n  11 -> 12 [size =\"10144768\"]\n  12 [size=\"103911424\", alpha=\"0.11\", expect_size=\"51955712\"] \n  12 -> 13 [size =\"51955712\"]\n  12 -> 14 [size =\"51955712\"]\n  13 [size=\"19314688\", alpha=\"0.10\", expect_size=\"9657344\"] \n  13 -> 15 [size =\"9657344\"]\n  13 -> 16 [size =\"9657344\"]\n  14 [size=\"30570496\", alpha=\"0.14\", expect_size=\"15285248\"] \n  15 [size=\"59963392\", alpha=\"0.00\", expect_size=\"29981696\"] \n  16 [size=\"74784768\", alpha=\"0.09\", expect_size=\"37392384\"] \n  16 -> 17 [size =\"37392384\"]\n  17 [size=\"75962368\", alpha=\"0.13\", expect_size=\"37981184\"] \n  17 -> 18 [size =\"37981184\"]\n  17 -> 19 [size =\"37981184\"]\n  18 [size=\"98541568\", alpha=\"0.04\", expect_size=\"49270784\"] \n  18 -> 20 [size =\"49270784\"]\n  19 [size=\"28166144\", alpha=\"0.00\", expect_size=\"14083072\"] \n  19 -> 20 [size =\"14083072\"]\n  20 [size=\"72540160\", alpha=\"0.19\", expect_size=\"36270080\"] \n  20 -> 21 [size =\"36270080\"]\n  20 -> 22 [size =\"36270080\"]\n  21 [size=\"94308352\", alpha=\"0.17\", expect_size=\"47154176\"] \n  21 -> 23 [size =\"47154176\"]\n  22 [size=\"20105216\", alpha=\"0.12\", expect_size=\"10052608\"] \n  22 -> 23 [size =\"10052608\"]\n  23 [size=\"72665088\", alpha=\"0.14\", expect_size=\"36332544\"] \n  23 -> 24 [size =\"36332544\"]\n  23 -> 25 [size =\"36332544\"]\n  24 [size=\"24223744\", alpha=\"0.15\", expect_size=\"12111872\"] \n  24 -> 26 [size =\"12111872\"]\n  25 [size=\"90286080\", alpha=\"0.17\", expect_size=\"45143040\"] \n  25 -> 26 [size =\"45143040\"]\n  26 [size=\"90386432\", alpha=\"0.17\", expect_size=\"45193216\"] \n  26 -> 27 [size =\"45193216\"]\n  27 [size=\"38858752\", alpha=\"0.19\", expect_size=\"19429376\"] \n  27 -> 28 [size =\"19429376\"]\n  28 [size=\"102166528\", alpha=\"0.16\", expect_size=\"51083264\"] \n  28 -> 29 [size =\"51083264\"]\n  29 [size=\"26482688\", alpha=\"0.13\", expect_size=\"13241344\"] \n  29 -> 30 [size =\"13241344\"]\n  30 [size=\"27064320\", alpha=\"0.15\", expect_size=\"13532160\"] \n  30 -> 31 [size =\"13532160\"]\n  31 [size=\"22016000\", alpha=\"0.19\", expect_size=\"11008000\"] \n  31 -> 32 [size =\"11008000\"]\n  32 [size=\"101681152\", alpha=\"0.03\", expect_size=\"50840576\"] \n  32 -> 33 [size =\"50840576\"]\n  32 -> 34 [size =\"50840576\"]\n  33 [size=\"61722624\", alpha=\"0.09\", expect_size=\"30861312\"] \n  33 -> 35 [size =\"30861312\"]\n  34 [size=\"33742848\", alpha=\"0.18\", expect_size=\"16871424\"] \n  35 [size=\"102459392\", alpha=\"0.19\", expect_size=\"51229696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94476800\", alpha=\"0.11\", expect_size=\"37790720\"] \n  1 -> 2 [size =\"37790720\"]\n  2 [size=\"130168320\", alpha=\"0.11\", expect_size=\"52067328\"] \n  2 -> 3 [size =\"52067328\"]\n  3 [size=\"101378560\", alpha=\"0.14\", expect_size=\"40551424\"] \n  3 -> 4 [size =\"40551424\"]\n  4 [size=\"77560320\", alpha=\"0.17\", expect_size=\"31024128\"] \n  4 -> 5 [size =\"31024128\"]\n  5 [size=\"88384000\", alpha=\"0.15\", expect_size=\"35353600\"] \n  5 -> 6 [size =\"35353600\"]\n  6 [size=\"90785280\", alpha=\"0.01\", expect_size=\"36314112\"] \n  6 -> 7 [size =\"36314112\"]\n  7 [size=\"46279680\", alpha=\"0.05\", expect_size=\"18511872\"] \n  7 -> 8 [size =\"18511872\"]\n  8 [size=\"83200000\", alpha=\"0.12\", expect_size=\"33280000\"] \n  8 -> 9 [size =\"33280000\"]\n  9 [size=\"30530560\", alpha=\"0.03\", expect_size=\"12212224\"] \n  9 -> 10 [size =\"12212224\"]\n  10 [size=\"87649280\", alpha=\"0.18\", expect_size=\"35059712\"] \n  10 -> 11 [size =\"35059712\"]\n  11 [size=\"103669760\", alpha=\"0.07\", expect_size=\"41467904\"] \n  11 -> 12 [size =\"41467904\"]\n  12 [size=\"49984000\", alpha=\"0.00\", expect_size=\"19993600\"] \n  12 -> 13 [size =\"19993600\"]\n  13 [size=\"115279360\", alpha=\"0.12\", expect_size=\"46111744\"] \n  13 -> 14 [size =\"46111744\"]\n  14 [size=\"80366080\", alpha=\"0.20\", expect_size=\"32146432\"] \n  14 -> 15 [size =\"32146432\"]\n  15 [size=\"61603840\", alpha=\"0.03\", expect_size=\"24641536\"] \n  15 -> 16 [size =\"24641536\"]\n  16 [size=\"29923840\", alpha=\"0.15\", expect_size=\"11969536\"] \n  16 -> 17 [size =\"11969536\"]\n  17 [size=\"34959360\", alpha=\"0.04\", expect_size=\"13983744\"] \n  17 -> 18 [size =\"13983744\"]\n  18 [size=\"64043520\", alpha=\"0.01\", expect_size=\"25617408\"] \n  18 -> 19 [size =\"25617408\"]\n  19 [size=\"17047040\", alpha=\"0.06\", expect_size=\"6818816\"] \n  19 -> 20 [size =\"6818816\"]\n  20 [size=\"35215360\", alpha=\"0.17\", expect_size=\"14086144\"] \n  20 -> 21 [size =\"14086144\"]\n  21 [size=\"22653440\", alpha=\"0.03\", expect_size=\"9061376\"] \n  21 -> 22 [size =\"9061376\"]\n  22 [size=\"64261120\", alpha=\"0.08\", expect_size=\"25704448\"] \n  22 -> 23 [size =\"25704448\"]\n  23 [size=\"64727040\", alpha=\"0.08\", expect_size=\"25890816\"] \n  23 -> 24 [size =\"25890816\"]\n  24 [size=\"20249600\", alpha=\"0.19\", expect_size=\"8099840\"] \n  24 -> 25 [size =\"8099840\"]\n  25 [size=\"17876480\", alpha=\"0.03\", expect_size=\"7150592\"] \n  25 -> 26 [size =\"7150592\"]\n  26 [size=\"37294080\", alpha=\"0.00\", expect_size=\"14917632\"] \n  26 -> 27 [size =\"14917632\"]\n  27 [size=\"127185920\", alpha=\"0.03\", expect_size=\"50874368\"] \n  27 -> 28 [size =\"50874368\"]\n  28 [size=\"34995200\", alpha=\"0.18\", expect_size=\"13998080\"] \n  28 -> 29 [size =\"13998080\"]\n  29 [size=\"38968320\", alpha=\"0.15\", expect_size=\"15587328\"] \n  29 -> 30 [size =\"15587328\"]\n  30 [size=\"73172480\", alpha=\"0.05\", expect_size=\"29268992\"] \n  30 -> 31 [size =\"29268992\"]\n  31 [size=\"57753600\", alpha=\"0.11\", expect_size=\"23101440\"] \n  31 -> 32 [size =\"23101440\"]\n  32 [size=\"74083840\", alpha=\"0.02\", expect_size=\"29633536\"] \n  32 -> 33 [size =\"29633536\"]\n  33 [size=\"121262080\", alpha=\"0.12\", expect_size=\"48504832\"] \n  33 -> 34 [size =\"48504832\"]\n  34 [size=\"51630080\", alpha=\"0.12\", expect_size=\"20652032\"] \n  34 -> 35 [size =\"20652032\"]\n  35 [size=\"47610880\", alpha=\"0.01\", expect_size=\"19044352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38301696\", alpha=\"0.13\", expect_size=\"19150848\"] \n  1 -> 15 [size =\"19150848\"]\n  1 -> 16 [size =\"19150848\"]\n  1 -> 19 [size =\"19150848\"]\n  1 -> 21 [size =\"19150848\"]\n  1 -> 26 [size =\"19150848\"]\n  2 [size=\"23187456\", alpha=\"0.06\", expect_size=\"11593728\"] \n  2 -> 18 [size =\"11593728\"]\n  2 -> 20 [size =\"11593728\"]\n  2 -> 21 [size =\"11593728\"]\n  2 -> 22 [size =\"11593728\"]\n  2 -> 23 [size =\"11593728\"]\n  3 [size=\"27672576\", alpha=\"0.16\", expect_size=\"13836288\"] \n  3 -> 16 [size =\"13836288\"]\n  3 -> 18 [size =\"13836288\"]\n  3 -> 20 [size =\"13836288\"]\n  3 -> 21 [size =\"13836288\"]\n  3 -> 23 [size =\"13836288\"]\n  3 -> 25 [size =\"13836288\"]\n  4 [size=\"100902912\", alpha=\"0.05\", expect_size=\"50451456\"] \n  4 -> 14 [size =\"50451456\"]\n  4 -> 17 [size =\"50451456\"]\n  4 -> 18 [size =\"50451456\"]\n  4 -> 19 [size =\"50451456\"]\n  4 -> 20 [size =\"50451456\"]\n  4 -> 21 [size =\"50451456\"]\n  4 -> 22 [size =\"50451456\"]\n  4 -> 24 [size =\"50451456\"]\n  4 -> 25 [size =\"50451456\"]\n  5 [size=\"63537152\", alpha=\"0.07\", expect_size=\"31768576\"] \n  5 -> 17 [size =\"31768576\"]\n  5 -> 18 [size =\"31768576\"]\n  5 -> 19 [size =\"31768576\"]\n  5 -> 20 [size =\"31768576\"]\n  5 -> 22 [size =\"31768576\"]\n  6 [size=\"84494336\", alpha=\"0.01\", expect_size=\"42247168\"] \n  6 -> 17 [size =\"42247168\"]\n  6 -> 19 [size =\"42247168\"]\n  6 -> 20 [size =\"42247168\"]\n  6 -> 23 [size =\"42247168\"]\n  7 [size=\"98115584\", alpha=\"0.12\", expect_size=\"49057792\"] \n  7 -> 14 [size =\"49057792\"]\n  7 -> 16 [size =\"49057792\"]\n  7 -> 19 [size =\"49057792\"]\n  8 [size=\"26882048\", alpha=\"0.16\", expect_size=\"13441024\"] \n  8 -> 17 [size =\"13441024\"]\n  8 -> 18 [size =\"13441024\"]\n  8 -> 19 [size =\"13441024\"]\n  8 -> 22 [size =\"13441024\"]\n  9 [size=\"34930688\", alpha=\"0.12\", expect_size=\"17465344\"] \n  9 -> 15 [size =\"17465344\"]\n  9 -> 16 [size =\"17465344\"]\n  9 -> 21 [size =\"17465344\"]\n  9 -> 22 [size =\"17465344\"]\n  9 -> 23 [size =\"17465344\"]\n  10 [size=\"85995520\", alpha=\"0.06\", expect_size=\"42997760\"] \n  10 -> 15 [size =\"42997760\"]\n  10 -> 16 [size =\"42997760\"]\n  10 -> 18 [size =\"42997760\"]\n  10 -> 19 [size =\"42997760\"]\n  10 -> 20 [size =\"42997760\"]\n  10 -> 21 [size =\"42997760\"]\n  10 -> 26 [size =\"42997760\"]\n  11 [size=\"66705408\", alpha=\"0.01\", expect_size=\"33352704\"] \n  11 -> 15 [size =\"33352704\"]\n  11 -> 16 [size =\"33352704\"]\n  11 -> 20 [size =\"33352704\"]\n  11 -> 22 [size =\"33352704\"]\n  11 -> 23 [size =\"33352704\"]\n  11 -> 25 [size =\"33352704\"]\n  11 -> 26 [size =\"33352704\"]\n  12 [size=\"35115008\", alpha=\"0.09\", expect_size=\"17557504\"] \n  12 -> 16 [size =\"17557504\"]\n  12 -> 18 [size =\"17557504\"]\n  12 -> 19 [size =\"17557504\"]\n  12 -> 21 [size =\"17557504\"]\n  12 -> 26 [size =\"17557504\"]\n  13 [size=\"64159744\", alpha=\"0.14\", expect_size=\"32079872\"] \n  13 -> 17 [size =\"32079872\"]\n  13 -> 22 [size =\"32079872\"]\n  13 -> 24 [size =\"32079872\"]\n  13 -> 26 [size =\"32079872\"]\n  14 [size=\"45033472\", alpha=\"0.12\", expect_size=\"22516736\"] \n  14 -> 30 [size =\"22516736\"]\n  14 -> 32 [size =\"22516736\"]\n  14 -> 34 [size =\"22516736\"]\n  15 [size=\"66553856\", alpha=\"0.02\", expect_size=\"33276928\"] \n  15 -> 30 [size =\"33276928\"]\n  15 -> 32 [size =\"33276928\"]\n  15 -> 34 [size =\"33276928\"]\n  16 [size=\"100976640\", alpha=\"0.19\", expect_size=\"50488320\"] \n  16 -> 31 [size =\"50488320\"]\n  16 -> 32 [size =\"50488320\"]\n  17 [size=\"12978176\", alpha=\"0.20\", expect_size=\"6489088\"] \n  17 -> 28 [size =\"6489088\"]\n  17 -> 30 [size =\"6489088\"]\n  17 -> 31 [size =\"6489088\"]\n  17 -> 33 [size =\"6489088\"]\n  18 [size=\"70873088\", alpha=\"0.15\", expect_size=\"35436544\"] \n  18 -> 30 [size =\"35436544\"]\n  18 -> 31 [size =\"35436544\"]\n  18 -> 32 [size =\"35436544\"]\n  18 -> 34 [size =\"35436544\"]\n  18 -> 35 [size =\"35436544\"]\n  19 [size=\"51320832\", alpha=\"0.10\", expect_size=\"25660416\"] \n  19 -> 28 [size =\"25660416\"]\n  19 -> 29 [size =\"25660416\"]\n  19 -> 30 [size =\"25660416\"]\n  19 -> 32 [size =\"25660416\"]\n  20 [size=\"12267520\", alpha=\"0.18\", expect_size=\"6133760\"] \n  20 -> 28 [size =\"6133760\"]\n  20 -> 29 [size =\"6133760\"]\n  20 -> 30 [size =\"6133760\"]\n  20 -> 33 [size =\"6133760\"]\n  21 [size=\"40364032\", alpha=\"0.12\", expect_size=\"20182016\"] \n  21 -> 31 [size =\"20182016\"]\n  21 -> 35 [size =\"20182016\"]\n  22 [size=\"43804672\", alpha=\"0.09\", expect_size=\"21902336\"] \n  22 -> 27 [size =\"21902336\"]\n  22 -> 31 [size =\"21902336\"]\n  23 [size=\"84733952\", alpha=\"0.09\", expect_size=\"42366976\"] \n  23 -> 31 [size =\"42366976\"]\n  23 -> 31 [size =\"42366976\"]\n  23 -> 34 [size =\"42366976\"]\n  24 [size=\"57753600\", alpha=\"0.09\", expect_size=\"28876800\"] \n  24 -> 30 [size =\"28876800\"]\n  24 -> 31 [size =\"28876800\"]\n  25 [size=\"22097920\", alpha=\"0.19\", expect_size=\"11048960\"] \n  25 -> 28 [size =\"11048960\"]\n  25 -> 29 [size =\"11048960\"]\n  25 -> 32 [size =\"11048960\"]\n  25 -> 33 [size =\"11048960\"]\n  25 -> 34 [size =\"11048960\"]\n  26 [size=\"30095360\", alpha=\"0.06\", expect_size=\"15047680\"] \n  26 -> 28 [size =\"15047680\"]\n  26 -> 29 [size =\"15047680\"]\n  26 -> 34 [size =\"15047680\"]\n  27 [size=\"24215552\", alpha=\"0.11\", expect_size=\"12107776\"] \n  28 [size=\"22001664\", alpha=\"0.19\", expect_size=\"11000832\"] \n  29 [size=\"93765632\", alpha=\"0.13\", expect_size=\"46882816\"] \n  30 [size=\"47853568\", alpha=\"0.02\", expect_size=\"23926784\"] \n  31 [size=\"39966720\", alpha=\"0.04\", expect_size=\"19983360\"] \n  32 [size=\"97927168\", alpha=\"0.11\", expect_size=\"48963584\"] \n  33 [size=\"45688832\", alpha=\"0.09\", expect_size=\"22844416\"] \n  34 [size=\"89186304\", alpha=\"0.14\", expect_size=\"44593152\"] \n  35 [size=\"35721216\", alpha=\"0.11\", expect_size=\"17860608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83008853\", alpha=\"0.06\", expect_size=\"24902656\"] \n  1 -> 7 [size =\"24902656\"]\n  1 -> 8 [size =\"24902656\"]\n  2 [size=\"114759680\", alpha=\"0.00\", expect_size=\"34427904\"] \n  2 -> 6 [size =\"34427904\"]\n  3 [size=\"50182827\", alpha=\"0.16\", expect_size=\"15054848\"] \n  4 [size=\"78687573\", alpha=\"0.13\", expect_size=\"23606272\"] \n  4 -> 5 [size =\"23606272\"]\n  4 -> 6 [size =\"23606272\"]\n  5 [size=\"128699733\", alpha=\"0.19\", expect_size=\"38609920\"] \n  5 -> 10 [size =\"38609920\"]\n  5 -> 11 [size =\"38609920\"]\n  6 [size=\"72437760\", alpha=\"0.05\", expect_size=\"21731328\"] \n  6 -> 10 [size =\"21731328\"]\n  6 -> 11 [size =\"21731328\"]\n  6 -> 13 [size =\"21731328\"]\n  7 [size=\"128307200\", alpha=\"0.09\", expect_size=\"38492160\"] \n  7 -> 13 [size =\"38492160\"]\n  8 [size=\"49636693\", alpha=\"0.16\", expect_size=\"14891008\"] \n  8 -> 9 [size =\"14891008\"]\n  8 -> 12 [size =\"14891008\"]\n  9 [size=\"55258453\", alpha=\"0.15\", expect_size=\"16577536\"] \n  9 -> 14 [size =\"16577536\"]\n  9 -> 17 [size =\"16577536\"]\n  10 [size=\"71690240\", alpha=\"0.02\", expect_size=\"21507072\"] \n  10 -> 14 [size =\"21507072\"]\n  11 [size=\"69273600\", alpha=\"0.19\", expect_size=\"20782080\"] \n  11 -> 15 [size =\"20782080\"]\n  12 [size=\"115869013\", alpha=\"0.04\", expect_size=\"34760704\"] \n  12 -> 14 [size =\"34760704\"]\n  12 -> 16 [size =\"34760704\"]\n  12 -> 17 [size =\"34760704\"]\n  12 -> 18 [size =\"34760704\"]\n  13 [size=\"117145600\", alpha=\"0.14\", expect_size=\"35143680\"] \n  13 -> 15 [size =\"35143680\"]\n  13 -> 16 [size =\"35143680\"]\n  13 -> 17 [size =\"35143680\"]\n  14 [size=\"89115307\", alpha=\"0.17\", expect_size=\"26734592\"] \n  14 -> 21 [size =\"26734592\"]\n  15 [size=\"37550080\", alpha=\"0.08\", expect_size=\"11265024\"] \n  16 [size=\"28026880\", alpha=\"0.00\", expect_size=\"8408064\"] \n  16 -> 19 [size =\"8408064\"]\n  16 -> 20 [size =\"8408064\"]\n  16 -> 22 [size =\"8408064\"]\n  17 [size=\"65290240\", alpha=\"0.13\", expect_size=\"19587072\"] \n  17 -> 19 [size =\"19587072\"]\n  17 -> 20 [size =\"19587072\"]\n  17 -> 22 [size =\"19587072\"]\n  18 [size=\"133208747\", alpha=\"0.04\", expect_size=\"39962624\"] \n  18 -> 22 [size =\"39962624\"]\n  19 [size=\"101389653\", alpha=\"0.12\", expect_size=\"30416896\"] \n  19 -> 23 [size =\"30416896\"]\n  19 -> 24 [size =\"30416896\"]\n  19 -> 25 [size =\"30416896\"]\n  20 [size=\"59204267\", alpha=\"0.03\", expect_size=\"17761280\"] \n  20 -> 23 [size =\"17761280\"]\n  20 -> 26 [size =\"17761280\"]\n  21 [size=\"72960000\", alpha=\"0.02\", expect_size=\"21888000\"] \n  22 [size=\"63170560\", alpha=\"0.13\", expect_size=\"18951168\"] \n  22 -> 26 [size =\"18951168\"]\n  23 [size=\"94184107\", alpha=\"0.09\", expect_size=\"28255232\"] \n  23 -> 29 [size =\"28255232\"]\n  23 -> 30 [size =\"28255232\"]\n  24 [size=\"43383467\", alpha=\"0.12\", expect_size=\"13015040\"] \n  24 -> 27 [size =\"13015040\"]\n  24 -> 28 [size =\"13015040\"]\n  24 -> 29 [size =\"13015040\"]\n  25 [size=\"19145387\", alpha=\"0.10\", expect_size=\"5743616\"] \n  26 [size=\"79032320\", alpha=\"0.14\", expect_size=\"23709696\"] \n  26 -> 27 [size =\"23709696\"]\n  26 -> 28 [size =\"23709696\"]\n  26 -> 30 [size =\"23709696\"]\n  27 [size=\"80769707\", alpha=\"0.12\", expect_size=\"24230912\"] \n  27 -> 34 [size =\"24230912\"]\n  28 [size=\"26934613\", alpha=\"0.15\", expect_size=\"8080384\"] \n  28 -> 31 [size =\"8080384\"]\n  28 -> 32 [size =\"8080384\"]\n  29 [size=\"56128853\", alpha=\"0.03\", expect_size=\"16838656\"] \n  29 -> 32 [size =\"16838656\"]\n  29 -> 33 [size =\"16838656\"]\n  29 -> 35 [size =\"16838656\"]\n  30 [size=\"152562347\", alpha=\"0.17\", expect_size=\"45768704\"] \n  31 [size=\"18216960\", alpha=\"0.18\", expect_size=\"5465088\"] \n  32 [size=\"33201493\", alpha=\"0.11\", expect_size=\"9960448\"] \n  33 [size=\"137512960\", alpha=\"0.17\", expect_size=\"41253888\"] \n  34 [size=\"49285120\", alpha=\"0.12\", expect_size=\"14785536\"] \n  35 [size=\"144302080\", alpha=\"0.10\", expect_size=\"43290624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44328960\", alpha=\"0.12\", expect_size=\"17731584\"] \n  1 -> 4 [size =\"17731584\"]\n  1 -> 5 [size =\"17731584\"]\n  2 [size=\"39360000\", alpha=\"0.09\", expect_size=\"15744000\"] \n  2 -> 4 [size =\"15744000\"]\n  2 -> 5 [size =\"15744000\"]\n  3 [size=\"62510080\", alpha=\"0.17\", expect_size=\"25004032\"] \n  3 -> 4 [size =\"25004032\"]\n  3 -> 5 [size =\"25004032\"]\n  4 [size=\"28761600\", alpha=\"0.04\", expect_size=\"11504640\"] \n  4 -> 6 [size =\"11504640\"]\n  4 -> 7 [size =\"11504640\"]\n  4 -> 8 [size =\"11504640\"]\n  4 -> 9 [size =\"11504640\"]\n  4 -> 11 [size =\"11504640\"]\n  5 [size=\"126346240\", alpha=\"0.18\", expect_size=\"50538496\"] \n  5 -> 7 [size =\"50538496\"]\n  5 -> 8 [size =\"50538496\"]\n  5 -> 10 [size =\"50538496\"]\n  6 [size=\"28753920\", alpha=\"0.17\", expect_size=\"11501568\"] \n  6 -> 12 [size =\"11501568\"]\n  7 [size=\"58088960\", alpha=\"0.00\", expect_size=\"23235584\"] \n  7 -> 12 [size =\"23235584\"]\n  8 [size=\"60515840\", alpha=\"0.02\", expect_size=\"24206336\"] \n  8 -> 12 [size =\"24206336\"]\n  8 -> 13 [size =\"24206336\"]\n  9 [size=\"94069760\", alpha=\"0.07\", expect_size=\"37627904\"] \n  9 -> 13 [size =\"37627904\"]\n  10 [size=\"47019520\", alpha=\"0.08\", expect_size=\"18807808\"] \n  10 -> 13 [size =\"18807808\"]\n  11 [size=\"18798080\", alpha=\"0.08\", expect_size=\"7519232\"] \n  11 -> 12 [size =\"7519232\"]\n  11 -> 13 [size =\"7519232\"]\n  12 [size=\"90936320\", alpha=\"0.02\", expect_size=\"36374528\"] \n  12 -> 14 [size =\"36374528\"]\n  12 -> 15 [size =\"36374528\"]\n  12 -> 16 [size =\"36374528\"]\n  13 [size=\"26088960\", alpha=\"0.06\", expect_size=\"10435584\"] \n  13 -> 14 [size =\"10435584\"]\n  13 -> 15 [size =\"10435584\"]\n  14 [size=\"128755200\", alpha=\"0.04\", expect_size=\"51502080\"] \n  14 -> 17 [size =\"51502080\"]\n  14 -> 18 [size =\"51502080\"]\n  14 -> 19 [size =\"51502080\"]\n  15 [size=\"35258880\", alpha=\"0.07\", expect_size=\"14103552\"] \n  15 -> 19 [size =\"14103552\"]\n  16 [size=\"22607360\", alpha=\"0.12\", expect_size=\"9042944\"] \n  16 -> 18 [size =\"9042944\"]\n  16 -> 19 [size =\"9042944\"]\n  17 [size=\"123507200\", alpha=\"0.07\", expect_size=\"49402880\"] \n  17 -> 20 [size =\"49402880\"]\n  18 [size=\"123898880\", alpha=\"0.20\", expect_size=\"49559552\"] \n  18 -> 21 [size =\"49559552\"]\n  19 [size=\"17566720\", alpha=\"0.15\", expect_size=\"7026688\"] \n  19 -> 22 [size =\"7026688\"]\n  20 [size=\"58291200\", alpha=\"0.14\", expect_size=\"23316480\"] \n  20 -> 23 [size =\"23316480\"]\n  20 -> 26 [size =\"23316480\"]\n  21 [size=\"103170560\", alpha=\"0.17\", expect_size=\"41268224\"] \n  21 -> 24 [size =\"41268224\"]\n  21 -> 26 [size =\"41268224\"]\n  21 -> 27 [size =\"41268224\"]\n  22 [size=\"32719360\", alpha=\"0.05\", expect_size=\"13087744\"] \n  22 -> 25 [size =\"13087744\"]\n  22 -> 26 [size =\"13087744\"]\n  23 [size=\"45859840\", alpha=\"0.02\", expect_size=\"18343936\"] \n  23 -> 28 [size =\"18343936\"]\n  23 -> 29 [size =\"18343936\"]\n  24 [size=\"83796480\", alpha=\"0.01\", expect_size=\"33518592\"] \n  24 -> 28 [size =\"33518592\"]\n  24 -> 30 [size =\"33518592\"]\n  25 [size=\"109624320\", alpha=\"0.20\", expect_size=\"43849728\"] \n  25 -> 28 [size =\"43849728\"]\n  26 [size=\"33487360\", alpha=\"0.01\", expect_size=\"13394944\"] \n  26 -> 28 [size =\"13394944\"]\n  26 -> 29 [size =\"13394944\"]\n  26 -> 30 [size =\"13394944\"]\n  27 [size=\"102292480\", alpha=\"0.09\", expect_size=\"40916992\"] \n  27 -> 28 [size =\"40916992\"]\n  27 -> 29 [size =\"40916992\"]\n  28 [size=\"23457280\", alpha=\"0.06\", expect_size=\"9382912\"] \n  28 -> 31 [size =\"9382912\"]\n  28 -> 32 [size =\"9382912\"]\n  29 [size=\"20641280\", alpha=\"0.16\", expect_size=\"8256512\"] \n  29 -> 31 [size =\"8256512\"]\n  29 -> 32 [size =\"8256512\"]\n  30 [size=\"110167040\", alpha=\"0.13\", expect_size=\"44066816\"] \n  30 -> 31 [size =\"44066816\"]\n  30 -> 32 [size =\"44066816\"]\n  31 [size=\"72368640\", alpha=\"0.10\", expect_size=\"28947456\"] \n  31 -> 33 [size =\"28947456\"]\n  31 -> 34 [size =\"28947456\"]\n  31 -> 35 [size =\"28947456\"]\n  32 [size=\"56437760\", alpha=\"0.00\", expect_size=\"22575104\"] \n  32 -> 33 [size =\"22575104\"]\n  32 -> 34 [size =\"22575104\"]\n  33 [size=\"88627200\", alpha=\"0.13\", expect_size=\"35450880\"] \n  34 [size=\"100377600\", alpha=\"0.05\", expect_size=\"40151040\"] \n  35 [size=\"107343360\", alpha=\"0.01\", expect_size=\"42937344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116293120\", alpha=\"0.03\", expect_size=\"46517248\"] \n  1 -> 3 [size =\"46517248\"]\n  2 [size=\"66767360\", alpha=\"0.05\", expect_size=\"26706944\"] \n  3 [size=\"85017600\", alpha=\"0.14\", expect_size=\"34007040\"] \n  3 -> 4 [size =\"34007040\"]\n  3 -> 5 [size =\"34007040\"]\n  4 [size=\"76956160\", alpha=\"0.06\", expect_size=\"30782464\"] \n  5 [size=\"67527680\", alpha=\"0.14\", expect_size=\"27011072\"] \n  5 -> 6 [size =\"27011072\"]\n  6 [size=\"24826880\", alpha=\"0.00\", expect_size=\"9930752\"] \n  6 -> 7 [size =\"9930752\"]\n  6 -> 8 [size =\"9930752\"]\n  7 [size=\"84454400\", alpha=\"0.10\", expect_size=\"33781760\"] \n  7 -> 9 [size =\"33781760\"]\n  8 [size=\"70213120\", alpha=\"0.18\", expect_size=\"28085248\"] \n  8 -> 10 [size =\"28085248\"]\n  9 [size=\"99783680\", alpha=\"0.10\", expect_size=\"39913472\"] \n  9 -> 12 [size =\"39913472\"]\n  10 [size=\"26639360\", alpha=\"0.12\", expect_size=\"10655744\"] \n  10 -> 11 [size =\"10655744\"]\n  11 [size=\"39703040\", alpha=\"0.03\", expect_size=\"15881216\"] \n  11 -> 13 [size =\"15881216\"]\n  12 [size=\"57267200\", alpha=\"0.01\", expect_size=\"22906880\"] \n  12 -> 13 [size =\"22906880\"]\n  13 [size=\"88245760\", alpha=\"0.13\", expect_size=\"35298304\"] \n  13 -> 14 [size =\"35298304\"]\n  13 -> 15 [size =\"35298304\"]\n  14 [size=\"53626880\", alpha=\"0.14\", expect_size=\"21450752\"] \n  14 -> 16 [size =\"21450752\"]\n  15 [size=\"90132480\", alpha=\"0.10\", expect_size=\"36052992\"] \n  16 [size=\"56071680\", alpha=\"0.11\", expect_size=\"22428672\"] \n  16 -> 17 [size =\"22428672\"]\n  17 [size=\"57692160\", alpha=\"0.12\", expect_size=\"23076864\"] \n  17 -> 18 [size =\"23076864\"]\n  17 -> 19 [size =\"23076864\"]\n  18 [size=\"119349760\", alpha=\"0.18\", expect_size=\"47739904\"] \n  18 -> 20 [size =\"47739904\"]\n  19 [size=\"108359680\", alpha=\"0.14\", expect_size=\"43343872\"] \n  19 -> 20 [size =\"43343872\"]\n  20 [size=\"51005440\", alpha=\"0.14\", expect_size=\"20402176\"] \n  20 -> 21 [size =\"20402176\"]\n  20 -> 22 [size =\"20402176\"]\n  21 [size=\"121991680\", alpha=\"0.12\", expect_size=\"48796672\"] \n  21 -> 24 [size =\"48796672\"]\n  22 [size=\"24486400\", alpha=\"0.19\", expect_size=\"9794560\"] \n  22 -> 23 [size =\"9794560\"]\n  23 [size=\"31157760\", alpha=\"0.19\", expect_size=\"12463104\"] \n  24 [size=\"107673600\", alpha=\"0.09\", expect_size=\"43069440\"] \n  24 -> 25 [size =\"43069440\"]\n  25 [size=\"72035840\", alpha=\"0.08\", expect_size=\"28814336\"] \n  25 -> 26 [size =\"28814336\"]\n  26 [size=\"129180160\", alpha=\"0.09\", expect_size=\"51672064\"] \n  26 -> 27 [size =\"51672064\"]\n  27 [size=\"73745920\", alpha=\"0.03\", expect_size=\"29498368\"] \n  27 -> 28 [size =\"29498368\"]\n  27 -> 29 [size =\"29498368\"]\n  28 [size=\"28879360\", alpha=\"0.06\", expect_size=\"11551744\"] \n  28 -> 30 [size =\"11551744\"]\n  28 -> 31 [size =\"11551744\"]\n  29 [size=\"16081920\", alpha=\"0.04\", expect_size=\"6432768\"] \n  30 [size=\"98455040\", alpha=\"0.04\", expect_size=\"39382016\"] \n  30 -> 32 [size =\"39382016\"]\n  31 [size=\"65594880\", alpha=\"0.08\", expect_size=\"26237952\"] \n  31 -> 32 [size =\"26237952\"]\n  32 [size=\"20697600\", alpha=\"0.00\", expect_size=\"8279040\"] \n  32 -> 33 [size =\"8279040\"]\n  33 [size=\"17415680\", alpha=\"0.05\", expect_size=\"6966272\"] \n  33 -> 34 [size =\"6966272\"]\n  34 [size=\"127664640\", alpha=\"0.17\", expect_size=\"51065856\"] \n  34 -> 35 [size =\"51065856\"]\n  35 [size=\"61401600\", alpha=\"0.01\", expect_size=\"24560640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20418560\", alpha=\"0.19\", expect_size=\"6125568\"] \n  1 -> 10 [size =\"6125568\"]\n  1 -> 11 [size =\"6125568\"]\n  2 [size=\"27026773\", alpha=\"0.14\", expect_size=\"8108032\"] \n  2 -> 7 [size =\"8108032\"]\n  2 -> 9 [size =\"8108032\"]\n  2 -> 10 [size =\"8108032\"]\n  3 [size=\"79988053\", alpha=\"0.18\", expect_size=\"23996416\"] \n  3 -> 8 [size =\"23996416\"]\n  3 -> 10 [size =\"23996416\"]\n  4 [size=\"25845760\", alpha=\"0.07\", expect_size=\"7753728\"] \n  4 -> 6 [size =\"7753728\"]\n  4 -> 9 [size =\"7753728\"]\n  4 -> 10 [size =\"7753728\"]\n  4 -> 11 [size =\"7753728\"]\n  5 [size=\"39611733\", alpha=\"0.02\", expect_size=\"11883520\"] \n  5 -> 7 [size =\"11883520\"]\n  5 -> 9 [size =\"11883520\"]\n  5 -> 10 [size =\"11883520\"]\n  5 -> 11 [size =\"11883520\"]\n  6 [size=\"31044267\", alpha=\"0.12\", expect_size=\"9313280\"] \n  6 -> 12 [size =\"9313280\"]\n  7 [size=\"101416960\", alpha=\"0.17\", expect_size=\"30425088\"] \n  7 -> 12 [size =\"30425088\"]\n  7 -> 13 [size =\"30425088\"]\n  8 [size=\"136222720\", alpha=\"0.14\", expect_size=\"40866816\"] \n  8 -> 13 [size =\"40866816\"]\n  9 [size=\"136813227\", alpha=\"0.03\", expect_size=\"41043968\"] \n  9 -> 13 [size =\"41043968\"]\n  10 [size=\"143974400\", alpha=\"0.15\", expect_size=\"43192320\"] \n  11 [size=\"69434027\", alpha=\"0.01\", expect_size=\"20830208\"] \n  12 [size=\"60088320\", alpha=\"0.03\", expect_size=\"18026496\"] \n  12 -> 15 [size =\"18026496\"]\n  13 [size=\"168492373\", alpha=\"0.17\", expect_size=\"50547712\"] \n  13 -> 14 [size =\"50547712\"]\n  13 -> 15 [size =\"50547712\"]\n  14 [size=\"155211093\", alpha=\"0.17\", expect_size=\"46563328\"] \n  14 -> 16 [size =\"46563328\"]\n  14 -> 18 [size =\"46563328\"]\n  14 -> 19 [size =\"46563328\"]\n  15 [size=\"52896427\", alpha=\"0.14\", expect_size=\"15868928\"] \n  15 -> 16 [size =\"15868928\"]\n  15 -> 17 [size =\"15868928\"]\n  16 [size=\"66914987\", alpha=\"0.18\", expect_size=\"20074496\"] \n  16 -> 20 [size =\"20074496\"]\n  16 -> 21 [size =\"20074496\"]\n  17 [size=\"164655787\", alpha=\"0.10\", expect_size=\"49396736\"] \n  18 [size=\"137789440\", alpha=\"0.14\", expect_size=\"41336832\"] \n  18 -> 20 [size =\"41336832\"]\n  18 -> 21 [size =\"41336832\"]\n  19 [size=\"89173333\", alpha=\"0.19\", expect_size=\"26752000\"] \n  19 -> 20 [size =\"26752000\"]\n  20 [size=\"114851840\", alpha=\"0.16\", expect_size=\"34455552\"] \n  20 -> 22 [size =\"34455552\"]\n  20 -> 23 [size =\"34455552\"]\n  20 -> 24 [size =\"34455552\"]\n  20 -> 25 [size =\"34455552\"]\n  20 -> 26 [size =\"34455552\"]\n  21 [size=\"73611947\", alpha=\"0.14\", expect_size=\"22083584\"] \n  21 -> 23 [size =\"22083584\"]\n  21 -> 24 [size =\"22083584\"]\n  21 -> 25 [size =\"22083584\"]\n  22 [size=\"81926827\", alpha=\"0.12\", expect_size=\"24578048\"] \n  22 -> 28 [size =\"24578048\"]\n  22 -> 29 [size =\"24578048\"]\n  22 -> 29 [size =\"24578048\"]\n  22 -> 30 [size =\"24578048\"]\n  23 [size=\"107786240\", alpha=\"0.19\", expect_size=\"32335872\"] \n  23 -> 28 [size =\"32335872\"]\n  23 -> 31 [size =\"32335872\"]\n  24 [size=\"84084053\", alpha=\"0.07\", expect_size=\"25225216\"] \n  24 -> 27 [size =\"25225216\"]\n  24 -> 28 [size =\"25225216\"]\n  24 -> 30 [size =\"25225216\"]\n  25 [size=\"59712853\", alpha=\"0.17\", expect_size=\"17913856\"] \n  25 -> 27 [size =\"17913856\"]\n  25 -> 28 [size =\"17913856\"]\n  25 -> 30 [size =\"17913856\"]\n  26 [size=\"168239787\", alpha=\"0.09\", expect_size=\"50471936\"] \n  26 -> 27 [size =\"50471936\"]\n  26 -> 28 [size =\"50471936\"]\n  26 -> 29 [size =\"50471936\"]\n  27 [size=\"150196907\", alpha=\"0.12\", expect_size=\"45059072\"] \n  27 -> 32 [size =\"45059072\"]\n  27 -> 33 [size =\"45059072\"]\n  28 [size=\"71826773\", alpha=\"0.10\", expect_size=\"21548032\"] \n  28 -> 33 [size =\"21548032\"]\n  28 -> 34 [size =\"21548032\"]\n  29 [size=\"24715947\", alpha=\"0.03\", expect_size=\"7414784\"] \n  29 -> 32 [size =\"7414784\"]\n  29 -> 33 [size =\"7414784\"]\n  29 -> 34 [size =\"7414784\"]\n  29 -> 35 [size =\"7414784\"]\n  30 [size=\"20473173\", alpha=\"0.12\", expect_size=\"6141952\"] \n  30 -> 32 [size =\"6141952\"]\n  30 -> 33 [size =\"6141952\"]\n  30 -> 34 [size =\"6141952\"]\n  30 -> 35 [size =\"6141952\"]\n  31 [size=\"149845333\", alpha=\"0.08\", expect_size=\"44953600\"] \n  31 -> 32 [size =\"44953600\"]\n  31 -> 34 [size =\"44953600\"]\n  31 -> 34 [size =\"44953600\"]\n  32 [size=\"101201920\", alpha=\"0.09\", expect_size=\"30360576\"] \n  33 [size=\"41383253\", alpha=\"0.09\", expect_size=\"12414976\"] \n  34 [size=\"32901120\", alpha=\"0.07\", expect_size=\"9870336\"] \n  35 [size=\"84131840\", alpha=\"0.10\", expect_size=\"25239552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15652864\", alpha=\"0.06\", expect_size=\"7826432\"] \n  1 -> 2 [size =\"7826432\"]\n  2 [size=\"55160832\", alpha=\"0.12\", expect_size=\"27580416\"] \n  2 -> 3 [size =\"27580416\"]\n  3 [size=\"73191424\", alpha=\"0.17\", expect_size=\"36595712\"] \n  3 -> 4 [size =\"36595712\"]\n  4 [size=\"58484736\", alpha=\"0.03\", expect_size=\"29242368\"] \n  4 -> 5 [size =\"29242368\"]\n  4 -> 6 [size =\"29242368\"]\n  5 [size=\"27248640\", alpha=\"0.07\", expect_size=\"13624320\"] \n  5 -> 7 [size =\"13624320\"]\n  6 [size=\"12070912\", alpha=\"0.14\", expect_size=\"6035456\"] \n  7 [size=\"32944128\", alpha=\"0.00\", expect_size=\"16472064\"] \n  7 -> 8 [size =\"16472064\"]\n  8 [size=\"85344256\", alpha=\"0.09\", expect_size=\"42672128\"] \n  8 -> 9 [size =\"42672128\"]\n  8 -> 10 [size =\"42672128\"]\n  9 [size=\"69093376\", alpha=\"0.14\", expect_size=\"34546688\"] \n  9 -> 11 [size =\"34546688\"]\n  10 [size=\"93669376\", alpha=\"0.06\", expect_size=\"46834688\"] \n  10 -> 11 [size =\"46834688\"]\n  11 [size=\"14909440\", alpha=\"0.14\", expect_size=\"7454720\"] \n  11 -> 12 [size =\"7454720\"]\n  12 [size=\"44638208\", alpha=\"0.14\", expect_size=\"22319104\"] \n  12 -> 13 [size =\"22319104\"]\n  12 -> 14 [size =\"22319104\"]\n  13 [size=\"102803456\", alpha=\"0.17\", expect_size=\"51401728\"] \n  13 -> 16 [size =\"51401728\"]\n  14 [size=\"87048192\", alpha=\"0.09\", expect_size=\"43524096\"] \n  14 -> 15 [size =\"43524096\"]\n  14 -> 16 [size =\"43524096\"]\n  15 [size=\"99811328\", alpha=\"0.04\", expect_size=\"49905664\"] \n  15 -> 17 [size =\"49905664\"]\n  16 [size=\"36308992\", alpha=\"0.14\", expect_size=\"18154496\"] \n  16 -> 17 [size =\"18154496\"]\n  17 [size=\"101898240\", alpha=\"0.18\", expect_size=\"50949120\"] \n  17 -> 18 [size =\"50949120\"]\n  18 [size=\"103524352\", alpha=\"0.11\", expect_size=\"51762176\"] \n  18 -> 19 [size =\"51762176\"]\n  18 -> 20 [size =\"51762176\"]\n  19 [size=\"52899840\", alpha=\"0.04\", expect_size=\"26449920\"] \n  19 -> 21 [size =\"26449920\"]\n  20 [size=\"26560512\", alpha=\"0.14\", expect_size=\"13280256\"] \n  21 [size=\"52627456\", alpha=\"0.05\", expect_size=\"26313728\"] \n  21 -> 22 [size =\"26313728\"]\n  21 -> 23 [size =\"26313728\"]\n  22 [size=\"25530368\", alpha=\"0.05\", expect_size=\"12765184\"] \n  22 -> 24 [size =\"12765184\"]\n  23 [size=\"92944384\", alpha=\"0.19\", expect_size=\"46472192\"] \n  23 -> 24 [size =\"46472192\"]\n  24 [size=\"76699648\", alpha=\"0.03\", expect_size=\"38349824\"] \n  24 -> 25 [size =\"38349824\"]\n  25 [size=\"23115776\", alpha=\"0.10\", expect_size=\"11557888\"] \n  25 -> 26 [size =\"11557888\"]\n  25 -> 27 [size =\"11557888\"]\n  26 [size=\"39921664\", alpha=\"0.18\", expect_size=\"19960832\"] \n  26 -> 28 [size =\"19960832\"]\n  27 [size=\"11016192\", alpha=\"0.10\", expect_size=\"5508096\"] \n  27 -> 28 [size =\"5508096\"]\n  28 [size=\"94849024\", alpha=\"0.19\", expect_size=\"47424512\"] \n  28 -> 29 [size =\"47424512\"]\n  29 [size=\"50962432\", alpha=\"0.20\", expect_size=\"25481216\"] \n  29 -> 30 [size =\"25481216\"]\n  30 [size=\"68458496\", alpha=\"0.18\", expect_size=\"34229248\"] \n  30 -> 31 [size =\"34229248\"]\n  30 -> 32 [size =\"34229248\"]\n  31 [size=\"38135808\", alpha=\"0.17\", expect_size=\"19067904\"] \n  31 -> 33 [size =\"19067904\"]\n  31 -> 34 [size =\"19067904\"]\n  32 [size=\"59535360\", alpha=\"0.04\", expect_size=\"29767680\"] \n  32 -> 33 [size =\"29767680\"]\n  33 [size=\"82964480\", alpha=\"0.10\", expect_size=\"41482240\"] \n  33 -> 35 [size =\"41482240\"]\n  34 [size=\"76752896\", alpha=\"0.13\", expect_size=\"38376448\"] \n  34 -> 35 [size =\"38376448\"]\n  35 [size=\"88905728\", alpha=\"0.14\", expect_size=\"44452864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136205653\", alpha=\"0.07\", expect_size=\"40861696\"] \n  1 -> 3 [size =\"40861696\"]\n  1 -> 4 [size =\"40861696\"]\n  2 [size=\"111237120\", alpha=\"0.17\", expect_size=\"33371136\"] \n  2 -> 5 [size =\"33371136\"]\n  2 -> 6 [size =\"33371136\"]\n  2 -> 7 [size =\"33371136\"]\n  3 [size=\"122060800\", alpha=\"0.18\", expect_size=\"36618240\"] \n  3 -> 8 [size =\"36618240\"]\n  3 -> 10 [size =\"36618240\"]\n  3 -> 11 [size =\"36618240\"]\n  3 -> 13 [size =\"36618240\"]\n  4 [size=\"93518507\", alpha=\"0.03\", expect_size=\"28055552\"] \n  4 -> 12 [size =\"28055552\"]\n  5 [size=\"119965013\", alpha=\"0.13\", expect_size=\"35989504\"] \n  5 -> 9 [size =\"35989504\"]\n  6 [size=\"31371947\", alpha=\"0.03\", expect_size=\"9411584\"] \n  6 -> 12 [size =\"9411584\"]\n  6 -> 13 [size =\"9411584\"]\n  7 [size=\"92603733\", alpha=\"0.10\", expect_size=\"27781120\"] \n  7 -> 9 [size =\"27781120\"]\n  7 -> 12 [size =\"27781120\"]\n  7 -> 13 [size =\"27781120\"]\n  8 [size=\"112568320\", alpha=\"0.10\", expect_size=\"33770496\"] \n  9 [size=\"36659200\", alpha=\"0.08\", expect_size=\"10997760\"] \n  9 -> 15 [size =\"10997760\"]\n  9 -> 16 [size =\"10997760\"]\n  9 -> 19 [size =\"10997760\"]\n  10 [size=\"70075733\", alpha=\"0.08\", expect_size=\"21022720\"] \n  10 -> 16 [size =\"21022720\"]\n  11 [size=\"32228693\", alpha=\"0.16\", expect_size=\"9668608\"] \n  12 [size=\"88634027\", alpha=\"0.19\", expect_size=\"26590208\"] \n  12 -> 17 [size =\"26590208\"]\n  13 [size=\"61190827\", alpha=\"0.14\", expect_size=\"18357248\"] \n  13 -> 14 [size =\"18357248\"]\n  13 -> 17 [size =\"18357248\"]\n  13 -> 18 [size =\"18357248\"]\n  14 [size=\"48554667\", alpha=\"0.01\", expect_size=\"14566400\"] \n  14 -> 22 [size =\"14566400\"]\n  15 [size=\"72663040\", alpha=\"0.18\", expect_size=\"21798912\"] \n  16 [size=\"20538027\", alpha=\"0.19\", expect_size=\"6161408\"] \n  16 -> 21 [size =\"6161408\"]\n  17 [size=\"40622080\", alpha=\"0.15\", expect_size=\"12186624\"] \n  17 -> 22 [size =\"12186624\"]\n  18 [size=\"120064000\", alpha=\"0.10\", expect_size=\"36019200\"] \n  18 -> 20 [size =\"36019200\"]\n  19 [size=\"45329067\", alpha=\"0.20\", expect_size=\"13598720\"] \n  19 -> 21 [size =\"13598720\"]\n  19 -> 22 [size =\"13598720\"]\n  20 [size=\"105721173\", alpha=\"0.08\", expect_size=\"31716352\"] \n  20 -> 23 [size =\"31716352\"]\n  20 -> 25 [size =\"31716352\"]\n  20 -> 28 [size =\"31716352\"]\n  20 -> 29 [size =\"31716352\"]\n  21 [size=\"170356053\", alpha=\"0.11\", expect_size=\"51106816\"] \n  21 -> 25 [size =\"51106816\"]\n  21 -> 27 [size =\"51106816\"]\n  22 [size=\"135055360\", alpha=\"0.06\", expect_size=\"40516608\"] \n  22 -> 23 [size =\"40516608\"]\n  22 -> 24 [size =\"40516608\"]\n  22 -> 26 [size =\"40516608\"]\n  23 [size=\"127245653\", alpha=\"0.14\", expect_size=\"38173696\"] \n  24 [size=\"79585280\", alpha=\"0.12\", expect_size=\"23875584\"] \n  24 -> 30 [size =\"23875584\"]\n  24 -> 31 [size =\"23875584\"]\n  25 [size=\"85268480\", alpha=\"0.03\", expect_size=\"25580544\"] \n  25 -> 31 [size =\"25580544\"]\n  25 -> 31 [size =\"25580544\"]\n  26 [size=\"71051947\", alpha=\"0.16\", expect_size=\"21315584\"] \n  26 -> 31 [size =\"21315584\"]\n  27 [size=\"60566187\", alpha=\"0.18\", expect_size=\"18169856\"] \n  28 [size=\"24671573\", alpha=\"0.13\", expect_size=\"7401472\"] \n  29 [size=\"106151253\", alpha=\"0.10\", expect_size=\"31845376\"] \n  30 [size=\"103567360\", alpha=\"0.13\", expect_size=\"31070208\"] \n  30 -> 33 [size =\"31070208\"]\n  30 -> 35 [size =\"31070208\"]\n  31 [size=\"163921920\", alpha=\"0.19\", expect_size=\"49176576\"] \n  31 -> 32 [size =\"49176576\"]\n  31 -> 34 [size =\"49176576\"]\n  32 [size=\"91374933\", alpha=\"0.13\", expect_size=\"27412480\"] \n  33 [size=\"136977067\", alpha=\"0.13\", expect_size=\"41093120\"] \n  34 [size=\"90736640\", alpha=\"0.17\", expect_size=\"27220992\"] \n  35 [size=\"28699307\", alpha=\"0.08\", expect_size=\"8609792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21900800\", alpha=\"0.15\", expect_size=\"8760320\"] \n  1 -> 9 [size =\"8760320\"]\n  1 -> 15 [size =\"8760320\"]\n  1 -> 17 [size =\"8760320\"]\n  2 [size=\"112476160\", alpha=\"0.10\", expect_size=\"44990464\"] \n  2 -> 11 [size =\"44990464\"]\n  2 -> 12 [size =\"44990464\"]\n  2 -> 18 [size =\"44990464\"]\n  3 [size=\"115632640\", alpha=\"0.09\", expect_size=\"46253056\"] \n  3 -> 10 [size =\"46253056\"]\n  3 -> 12 [size =\"46253056\"]\n  3 -> 14 [size =\"46253056\"]\n  3 -> 16 [size =\"46253056\"]\n  3 -> 18 [size =\"46253056\"]\n  4 [size=\"62533120\", alpha=\"0.13\", expect_size=\"25013248\"] \n  4 -> 11 [size =\"25013248\"]\n  4 -> 12 [size =\"25013248\"]\n  4 -> 13 [size =\"25013248\"]\n  5 [size=\"104028160\", alpha=\"0.04\", expect_size=\"41611264\"] \n  5 -> 11 [size =\"41611264\"]\n  5 -> 12 [size =\"41611264\"]\n  5 -> 16 [size =\"41611264\"]\n  5 -> 17 [size =\"41611264\"]\n  5 -> 18 [size =\"41611264\"]\n  6 [size=\"126625280\", alpha=\"0.19\", expect_size=\"50650112\"] \n  6 -> 9 [size =\"50650112\"]\n  6 -> 11 [size =\"50650112\"]\n  6 -> 12 [size =\"50650112\"]\n  6 -> 15 [size =\"50650112\"]\n  6 -> 16 [size =\"50650112\"]\n  6 -> 17 [size =\"50650112\"]\n  6 -> 18 [size =\"50650112\"]\n  7 [size=\"19768320\", alpha=\"0.19\", expect_size=\"7907328\"] \n  7 -> 9 [size =\"7907328\"]\n  7 -> 11 [size =\"7907328\"]\n  7 -> 12 [size =\"7907328\"]\n  7 -> 15 [size =\"7907328\"]\n  7 -> 17 [size =\"7907328\"]\n  7 -> 18 [size =\"7907328\"]\n  8 [size=\"79715840\", alpha=\"0.14\", expect_size=\"31886336\"] \n  8 -> 11 [size =\"31886336\"]\n  8 -> 11 [size =\"31886336\"]\n  8 -> 15 [size =\"31886336\"]\n  8 -> 17 [size =\"31886336\"]\n  8 -> 18 [size =\"31886336\"]\n  9 [size=\"32414720\", alpha=\"0.09\", expect_size=\"12965888\"] \n  9 -> 19 [size =\"12965888\"]\n  9 -> 23 [size =\"12965888\"]\n  9 -> 24 [size =\"12965888\"]\n  9 -> 26 [size =\"12965888\"]\n  9 -> 27 [size =\"12965888\"]\n  9 -> 28 [size =\"12965888\"]\n  9 -> 30 [size =\"12965888\"]\n  10 [size=\"59612160\", alpha=\"0.05\", expect_size=\"23844864\"] \n  10 -> 19 [size =\"23844864\"]\n  10 -> 23 [size =\"23844864\"]\n  10 -> 24 [size =\"23844864\"]\n  10 -> 25 [size =\"23844864\"]\n  10 -> 27 [size =\"23844864\"]\n  10 -> 28 [size =\"23844864\"]\n  10 -> 29 [size =\"23844864\"]\n  10 -> 31 [size =\"23844864\"]\n  10 -> 32 [size =\"23844864\"]\n  10 -> 33 [size =\"23844864\"]\n  11 [size=\"58657280\", alpha=\"0.12\", expect_size=\"23462912\"] \n  11 -> 19 [size =\"23462912\"]\n  11 -> 21 [size =\"23462912\"]\n  11 -> 24 [size =\"23462912\"]\n  11 -> 25 [size =\"23462912\"]\n  11 -> 26 [size =\"23462912\"]\n  11 -> 27 [size =\"23462912\"]\n  11 -> 28 [size =\"23462912\"]\n  11 -> 29 [size =\"23462912\"]\n  11 -> 30 [size =\"23462912\"]\n  11 -> 31 [size =\"23462912\"]\n  11 -> 32 [size =\"23462912\"]\n  11 -> 33 [size =\"23462912\"]\n  12 [size=\"27980800\", alpha=\"0.09\", expect_size=\"11192320\"] \n  12 -> 19 [size =\"11192320\"]\n  12 -> 24 [size =\"11192320\"]\n  12 -> 25 [size =\"11192320\"]\n  12 -> 27 [size =\"11192320\"]\n  12 -> 29 [size =\"11192320\"]\n  12 -> 30 [size =\"11192320\"]\n  12 -> 31 [size =\"11192320\"]\n  12 -> 32 [size =\"11192320\"]\n  12 -> 33 [size =\"11192320\"]\n  13 [size=\"89661440\", alpha=\"0.18\", expect_size=\"35864576\"] \n  13 -> 19 [size =\"35864576\"]\n  13 -> 20 [size =\"35864576\"]\n  13 -> 21 [size =\"35864576\"]\n  13 -> 23 [size =\"35864576\"]\n  13 -> 24 [size =\"35864576\"]\n  13 -> 25 [size =\"35864576\"]\n  13 -> 27 [size =\"35864576\"]\n  13 -> 29 [size =\"35864576\"]\n  13 -> 30 [size =\"35864576\"]\n  13 -> 31 [size =\"35864576\"]\n  14 [size=\"26411520\", alpha=\"0.10\", expect_size=\"10564608\"] \n  14 -> 19 [size =\"10564608\"]\n  14 -> 21 [size =\"10564608\"]\n  14 -> 24 [size =\"10564608\"]\n  14 -> 25 [size =\"10564608\"]\n  14 -> 26 [size =\"10564608\"]\n  14 -> 27 [size =\"10564608\"]\n  14 -> 28 [size =\"10564608\"]\n  14 -> 29 [size =\"10564608\"]\n  14 -> 31 [size =\"10564608\"]\n  14 -> 33 [size =\"10564608\"]\n  15 [size=\"103024640\", alpha=\"0.10\", expect_size=\"41209856\"] \n  15 -> 19 [size =\"41209856\"]\n  15 -> 20 [size =\"41209856\"]\n  15 -> 21 [size =\"41209856\"]\n  15 -> 22 [size =\"41209856\"]\n  15 -> 23 [size =\"41209856\"]\n  15 -> 24 [size =\"41209856\"]\n  15 -> 26 [size =\"41209856\"]\n  15 -> 28 [size =\"41209856\"]\n  15 -> 31 [size =\"41209856\"]\n  15 -> 32 [size =\"41209856\"]\n  15 -> 33 [size =\"41209856\"]\n  16 [size=\"127285760\", alpha=\"0.16\", expect_size=\"50914304\"] \n  16 -> 19 [size =\"50914304\"]\n  16 -> 20 [size =\"50914304\"]\n  16 -> 21 [size =\"50914304\"]\n  16 -> 22 [size =\"50914304\"]\n  16 -> 23 [size =\"50914304\"]\n  16 -> 24 [size =\"50914304\"]\n  16 -> 25 [size =\"50914304\"]\n  16 -> 26 [size =\"50914304\"]\n  16 -> 28 [size =\"50914304\"]\n  16 -> 30 [size =\"50914304\"]\n  17 [size=\"122327040\", alpha=\"0.12\", expect_size=\"48930816\"] \n  17 -> 19 [size =\"48930816\"]\n  17 -> 20 [size =\"48930816\"]\n  17 -> 21 [size =\"48930816\"]\n  17 -> 22 [size =\"48930816\"]\n  17 -> 23 [size =\"48930816\"]\n  17 -> 25 [size =\"48930816\"]\n  17 -> 26 [size =\"48930816\"]\n  17 -> 26 [size =\"48930816\"]\n  17 -> 27 [size =\"48930816\"]\n  17 -> 28 [size =\"48930816\"]\n  17 -> 29 [size =\"48930816\"]\n  17 -> 30 [size =\"48930816\"]\n  17 -> 32 [size =\"48930816\"]\n  17 -> 33 [size =\"48930816\"]\n  18 [size=\"116904960\", alpha=\"0.19\", expect_size=\"46761984\"] \n  18 -> 20 [size =\"46761984\"]\n  18 -> 21 [size =\"46761984\"]\n  18 -> 21 [size =\"46761984\"]\n  18 -> 23 [size =\"46761984\"]\n  18 -> 24 [size =\"46761984\"]\n  18 -> 27 [size =\"46761984\"]\n  18 -> 28 [size =\"46761984\"]\n  18 -> 29 [size =\"46761984\"]\n  18 -> 30 [size =\"46761984\"]\n  18 -> 31 [size =\"46761984\"]\n  19 [size=\"80908800\", alpha=\"0.13\", expect_size=\"32363520\"] \n  19 -> 34 [size =\"32363520\"]\n  19 -> 35 [size =\"32363520\"]\n  20 [size=\"14469120\", alpha=\"0.14\", expect_size=\"5787648\"] \n  20 -> 34 [size =\"5787648\"]\n  21 [size=\"44349440\", alpha=\"0.16\", expect_size=\"17739776\"] \n  21 -> 34 [size =\"17739776\"]\n  22 [size=\"117504000\", alpha=\"0.16\", expect_size=\"47001600\"] \n  22 -> 34 [size =\"47001600\"]\n  23 [size=\"55567360\", alpha=\"0.12\", expect_size=\"22226944\"] \n  23 -> 34 [size =\"22226944\"]\n  24 [size=\"41653760\", alpha=\"0.17\", expect_size=\"16661504\"] \n  24 -> 34 [size =\"16661504\"]\n  25 [size=\"102440960\", alpha=\"0.17\", expect_size=\"40976384\"] \n  26 [size=\"44643840\", alpha=\"0.17\", expect_size=\"17857536\"] \n  26 -> 34 [size =\"17857536\"]\n  27 [size=\"19443200\", alpha=\"0.17\", expect_size=\"7777280\"] \n  27 -> 34 [size =\"7777280\"]\n  27 -> 35 [size =\"7777280\"]\n  28 [size=\"89489920\", alpha=\"0.09\", expect_size=\"35795968\"] \n  28 -> 34 [size =\"35795968\"]\n  28 -> 35 [size =\"35795968\"]\n  29 [size=\"85255680\", alpha=\"0.05\", expect_size=\"34102272\"] \n  29 -> 34 [size =\"34102272\"]\n  30 [size=\"45765120\", alpha=\"0.08\", expect_size=\"18306048\"] \n  30 -> 34 [size =\"18306048\"]\n  31 [size=\"128908800\", alpha=\"0.19\", expect_size=\"51563520\"] \n  31 -> 34 [size =\"51563520\"]\n  32 [size=\"107553280\", alpha=\"0.12\", expect_size=\"43021312\"] \n  32 -> 34 [size =\"43021312\"]\n  32 -> 35 [size =\"43021312\"]\n  33 [size=\"81064960\", alpha=\"0.18\", expect_size=\"32425984\"] \n  33 -> 34 [size =\"32425984\"]\n  34 [size=\"34012160\", alpha=\"0.07\", expect_size=\"13604864\"] \n  35 [size=\"15818240\", alpha=\"0.11\", expect_size=\"6327296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170420907\", alpha=\"0.08\", expect_size=\"51126272\"] \n  1 -> 9 [size =\"51126272\"]\n  1 -> 9 [size =\"51126272\"]\n  2 [size=\"55029760\", alpha=\"0.01\", expect_size=\"16508928\"] \n  2 -> 7 [size =\"16508928\"]\n  3 [size=\"115913387\", alpha=\"0.03\", expect_size=\"34774016\"] \n  3 -> 6 [size =\"34774016\"]\n  3 -> 7 [size =\"34774016\"]\n  4 [size=\"22896640\", alpha=\"0.16\", expect_size=\"6868992\"] \n  4 -> 7 [size =\"6868992\"]\n  4 -> 8 [size =\"6868992\"]\n  5 [size=\"85797547\", alpha=\"0.10\", expect_size=\"25739264\"] \n  5 -> 8 [size =\"25739264\"]\n  5 -> 9 [size =\"25739264\"]\n  6 [size=\"27784533\", alpha=\"0.01\", expect_size=\"8335360\"] \n  6 -> 13 [size =\"8335360\"]\n  7 [size=\"144687787\", alpha=\"0.17\", expect_size=\"43406336\"] \n  8 [size=\"151377920\", alpha=\"0.16\", expect_size=\"45413376\"] \n  8 -> 10 [size =\"45413376\"]\n  8 -> 11 [size =\"45413376\"]\n  8 -> 12 [size =\"45413376\"]\n  8 -> 13 [size =\"45413376\"]\n  9 [size=\"20660907\", alpha=\"0.09\", expect_size=\"6198272\"] \n  9 -> 11 [size =\"6198272\"]\n  9 -> 12 [size =\"6198272\"]\n  9 -> 12 [size =\"6198272\"]\n  9 -> 13 [size =\"6198272\"]\n  10 [size=\"91084800\", alpha=\"0.19\", expect_size=\"27325440\"] \n  10 -> 14 [size =\"27325440\"]\n  10 -> 17 [size =\"27325440\"]\n  11 [size=\"81418240\", alpha=\"0.13\", expect_size=\"24425472\"] \n  11 -> 15 [size =\"24425472\"]\n  11 -> 18 [size =\"24425472\"]\n  12 [size=\"143609173\", alpha=\"0.18\", expect_size=\"43082752\"] \n  12 -> 14 [size =\"43082752\"]\n  12 -> 15 [size =\"43082752\"]\n  12 -> 16 [size =\"43082752\"]\n  13 [size=\"148531200\", alpha=\"0.20\", expect_size=\"44559360\"] \n  13 -> 14 [size =\"44559360\"]\n  14 [size=\"171250347\", alpha=\"0.12\", expect_size=\"51375104\"] \n  14 -> 20 [size =\"51375104\"]\n  14 -> 22 [size =\"51375104\"]\n  15 [size=\"139564373\", alpha=\"0.03\", expect_size=\"41869312\"] \n  15 -> 19 [size =\"41869312\"]\n  15 -> 20 [size =\"41869312\"]\n  15 -> 21 [size =\"41869312\"]\n  16 [size=\"57320107\", alpha=\"0.02\", expect_size=\"17196032\"] \n  16 -> 19 [size =\"17196032\"]\n  16 -> 20 [size =\"17196032\"]\n  17 [size=\"63805440\", alpha=\"0.04\", expect_size=\"19141632\"] \n  17 -> 20 [size =\"19141632\"]\n  18 [size=\"43390293\", alpha=\"0.08\", expect_size=\"13017088\"] \n  18 -> 21 [size =\"13017088\"]\n  19 [size=\"172622507\", alpha=\"0.00\", expect_size=\"51786752\"] \n  19 -> 26 [size =\"51786752\"]\n  19 -> 27 [size =\"51786752\"]\n  20 [size=\"87487147\", alpha=\"0.09\", expect_size=\"26246144\"] \n  20 -> 23 [size =\"26246144\"]\n  20 -> 24 [size =\"26246144\"]\n  20 -> 26 [size =\"26246144\"]\n  21 [size=\"75939840\", alpha=\"0.17\", expect_size=\"22781952\"] \n  22 [size=\"174373547\", alpha=\"0.10\", expect_size=\"52312064\"] \n  22 -> 24 [size =\"52312064\"]\n  22 -> 25 [size =\"52312064\"]\n  23 [size=\"158750720\", alpha=\"0.15\", expect_size=\"47625216\"] \n  23 -> 29 [size =\"47625216\"]\n  23 -> 31 [size =\"47625216\"]\n  24 [size=\"155514880\", alpha=\"0.02\", expect_size=\"46654464\"] \n  24 -> 28 [size =\"46654464\"]\n  24 -> 29 [size =\"46654464\"]\n  24 -> 31 [size =\"46654464\"]\n  25 [size=\"90023253\", alpha=\"0.16\", expect_size=\"27006976\"] \n  25 -> 28 [size =\"27006976\"]\n  25 -> 29 [size =\"27006976\"]\n  25 -> 30 [size =\"27006976\"]\n  26 [size=\"115899733\", alpha=\"0.12\", expect_size=\"34769920\"] \n  26 -> 28 [size =\"34769920\"]\n  26 -> 30 [size =\"34769920\"]\n  27 [size=\"130850133\", alpha=\"0.05\", expect_size=\"39255040\"] \n  28 [size=\"162553173\", alpha=\"0.14\", expect_size=\"48765952\"] \n  28 -> 32 [size =\"48765952\"]\n  28 -> 33 [size =\"48765952\"]\n  28 -> 35 [size =\"48765952\"]\n  29 [size=\"67396267\", alpha=\"0.04\", expect_size=\"20218880\"] \n  29 -> 32 [size =\"20218880\"]\n  29 -> 33 [size =\"20218880\"]\n  29 -> 34 [size =\"20218880\"]\n  29 -> 35 [size =\"20218880\"]\n  30 [size=\"69744640\", alpha=\"0.03\", expect_size=\"20923392\"] \n  30 -> 32 [size =\"20923392\"]\n  30 -> 33 [size =\"20923392\"]\n  30 -> 34 [size =\"20923392\"]\n  31 [size=\"140346027\", alpha=\"0.10\", expect_size=\"42103808\"] \n  31 -> 34 [size =\"42103808\"]\n  32 [size=\"117575680\", alpha=\"0.13\", expect_size=\"35272704\"] \n  33 [size=\"38983680\", alpha=\"0.13\", expect_size=\"11695104\"] \n  34 [size=\"160300373\", alpha=\"0.13\", expect_size=\"48090112\"] \n  35 [size=\"172373333\", alpha=\"0.08\", expect_size=\"51712000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58179584\", alpha=\"0.00\", expect_size=\"29089792\"] \n  1 -> 3 [size =\"29089792\"]\n  2 [size=\"16338944\", alpha=\"0.09\", expect_size=\"8169472\"] \n  2 -> 3 [size =\"8169472\"]\n  3 [size=\"79538176\", alpha=\"0.19\", expect_size=\"39769088\"] \n  3 -> 4 [size =\"39769088\"]\n  3 -> 5 [size =\"39769088\"]\n  4 [size=\"58695680\", alpha=\"0.05\", expect_size=\"29347840\"] \n  4 -> 6 [size =\"29347840\"]\n  4 -> 7 [size =\"29347840\"]\n  5 [size=\"76843008\", alpha=\"0.16\", expect_size=\"38421504\"] \n  5 -> 7 [size =\"38421504\"]\n  6 [size=\"17539072\", alpha=\"0.18\", expect_size=\"8769536\"] \n  6 -> 8 [size =\"8769536\"]\n  7 [size=\"25206784\", alpha=\"0.00\", expect_size=\"12603392\"] \n  7 -> 8 [size =\"12603392\"]\n  7 -> 9 [size =\"12603392\"]\n  8 [size=\"25470976\", alpha=\"0.01\", expect_size=\"12735488\"] \n  9 [size=\"25153536\", alpha=\"0.03\", expect_size=\"12576768\"] \n  9 -> 10 [size =\"12576768\"]\n  10 [size=\"43732992\", alpha=\"0.19\", expect_size=\"21866496\"] \n  10 -> 11 [size =\"21866496\"]\n  11 [size=\"81391616\", alpha=\"0.04\", expect_size=\"40695808\"] \n  11 -> 12 [size =\"40695808\"]\n  11 -> 13 [size =\"40695808\"]\n  12 [size=\"82235392\", alpha=\"0.14\", expect_size=\"41117696\"] \n  12 -> 14 [size =\"41117696\"]\n  13 [size=\"29337600\", alpha=\"0.14\", expect_size=\"14668800\"] \n  13 -> 15 [size =\"14668800\"]\n  14 [size=\"26896384\", alpha=\"0.10\", expect_size=\"13448192\"] \n  15 [size=\"48906240\", alpha=\"0.17\", expect_size=\"24453120\"] \n  15 -> 16 [size =\"24453120\"]\n  16 [size=\"31981568\", alpha=\"0.12\", expect_size=\"15990784\"] \n  16 -> 17 [size =\"15990784\"]\n  17 [size=\"21409792\", alpha=\"0.19\", expect_size=\"10704896\"] \n  17 -> 18 [size =\"10704896\"]\n  18 [size=\"21649408\", alpha=\"0.17\", expect_size=\"10824704\"] \n  18 -> 19 [size =\"10824704\"]\n  19 [size=\"28440576\", alpha=\"0.18\", expect_size=\"14220288\"] \n  19 -> 20 [size =\"14220288\"]\n  19 -> 21 [size =\"14220288\"]\n  20 [size=\"43395072\", alpha=\"0.06\", expect_size=\"21697536\"] \n  20 -> 22 [size =\"21697536\"]\n  21 [size=\"41011200\", alpha=\"0.05\", expect_size=\"20505600\"] \n  21 -> 22 [size =\"20505600\"]\n  22 [size=\"61091840\", alpha=\"0.04\", expect_size=\"30545920\"] \n  22 -> 23 [size =\"30545920\"]\n  23 [size=\"33056768\", alpha=\"0.18\", expect_size=\"16528384\"] \n  23 -> 24 [size =\"16528384\"]\n  23 -> 25 [size =\"16528384\"]\n  24 [size=\"98144256\", alpha=\"0.03\", expect_size=\"49072128\"] \n  24 -> 26 [size =\"49072128\"]\n  25 [size=\"50395136\", alpha=\"0.01\", expect_size=\"25197568\"] \n  25 -> 26 [size =\"25197568\"]\n  26 [size=\"34258944\", alpha=\"0.01\", expect_size=\"17129472\"] \n  26 -> 27 [size =\"17129472\"]\n  26 -> 28 [size =\"17129472\"]\n  27 [size=\"89051136\", alpha=\"0.05\", expect_size=\"44525568\"] \n  28 [size=\"86198272\", alpha=\"0.11\", expect_size=\"43099136\"] \n  28 -> 29 [size =\"43099136\"]\n  29 [size=\"73910272\", alpha=\"0.00\", expect_size=\"36955136\"] \n  29 -> 30 [size =\"36955136\"]\n  30 [size=\"64077824\", alpha=\"0.17\", expect_size=\"32038912\"] \n  30 -> 31 [size =\"32038912\"]\n  31 [size=\"93255680\", alpha=\"0.08\", expect_size=\"46627840\"] \n  31 -> 32 [size =\"46627840\"]\n  32 [size=\"20393984\", alpha=\"0.15\", expect_size=\"10196992\"] \n  32 -> 33 [size =\"10196992\"]\n  32 -> 34 [size =\"10196992\"]\n  33 [size=\"40093696\", alpha=\"0.06\", expect_size=\"20046848\"] \n  33 -> 35 [size =\"20046848\"]\n  34 [size=\"32659456\", alpha=\"0.20\", expect_size=\"16329728\"] \n  35 [size=\"46307328\", alpha=\"0.02\", expect_size=\"23153664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22276096\", alpha=\"0.19\", expect_size=\"11138048\"] \n  1 -> 2 [size =\"11138048\"]\n  2 [size=\"33656832\", alpha=\"0.00\", expect_size=\"16828416\"] \n  2 -> 3 [size =\"16828416\"]\n  3 [size=\"74756096\", alpha=\"0.18\", expect_size=\"37378048\"] \n  3 -> 4 [size =\"37378048\"]\n  4 [size=\"50311168\", alpha=\"0.06\", expect_size=\"25155584\"] \n  4 -> 5 [size =\"25155584\"]\n  5 [size=\"38412288\", alpha=\"0.04\", expect_size=\"19206144\"] \n  5 -> 6 [size =\"19206144\"]\n  6 [size=\"80830464\", alpha=\"0.10\", expect_size=\"40415232\"] \n  6 -> 7 [size =\"40415232\"]\n  7 [size=\"61263872\", alpha=\"0.07\", expect_size=\"30631936\"] \n  7 -> 8 [size =\"30631936\"]\n  8 [size=\"10639360\", alpha=\"0.15\", expect_size=\"5319680\"] \n  8 -> 9 [size =\"5319680\"]\n  9 [size=\"81080320\", alpha=\"0.18\", expect_size=\"40540160\"] \n  9 -> 10 [size =\"40540160\"]\n  10 [size=\"93581312\", alpha=\"0.14\", expect_size=\"46790656\"] \n  10 -> 11 [size =\"46790656\"]\n  11 [size=\"98428928\", alpha=\"0.05\", expect_size=\"49214464\"] \n  11 -> 12 [size =\"49214464\"]\n  12 [size=\"95133696\", alpha=\"0.19\", expect_size=\"47566848\"] \n  12 -> 13 [size =\"47566848\"]\n  13 [size=\"95623168\", alpha=\"0.01\", expect_size=\"47811584\"] \n  13 -> 14 [size =\"47811584\"]\n  14 [size=\"85059584\", alpha=\"0.05\", expect_size=\"42529792\"] \n  14 -> 15 [size =\"42529792\"]\n  15 [size=\"19832832\", alpha=\"0.00\", expect_size=\"9916416\"] \n  15 -> 16 [size =\"9916416\"]\n  16 [size=\"37806080\", alpha=\"0.01\", expect_size=\"18903040\"] \n  16 -> 17 [size =\"18903040\"]\n  17 [size=\"84430848\", alpha=\"0.02\", expect_size=\"42215424\"] \n  17 -> 18 [size =\"42215424\"]\n  18 [size=\"23105536\", alpha=\"0.07\", expect_size=\"11552768\"] \n  18 -> 19 [size =\"11552768\"]\n  19 [size=\"93661184\", alpha=\"0.14\", expect_size=\"46830592\"] \n  19 -> 20 [size =\"46830592\"]\n  20 [size=\"85745664\", alpha=\"0.20\", expect_size=\"42872832\"] \n  20 -> 21 [size =\"42872832\"]\n  21 [size=\"59693056\", alpha=\"0.08\", expect_size=\"29846528\"] \n  21 -> 22 [size =\"29846528\"]\n  22 [size=\"81567744\", alpha=\"0.01\", expect_size=\"40783872\"] \n  22 -> 23 [size =\"40783872\"]\n  23 [size=\"75649024\", alpha=\"0.08\", expect_size=\"37824512\"] \n  23 -> 24 [size =\"37824512\"]\n  24 [size=\"78764032\", alpha=\"0.03\", expect_size=\"39382016\"] \n  24 -> 25 [size =\"39382016\"]\n  25 [size=\"100052992\", alpha=\"0.04\", expect_size=\"50026496\"] \n  25 -> 26 [size =\"50026496\"]\n  26 [size=\"101484544\", alpha=\"0.01\", expect_size=\"50742272\"] \n  26 -> 27 [size =\"50742272\"]\n  27 [size=\"104777728\", alpha=\"0.07\", expect_size=\"52388864\"] \n  27 -> 28 [size =\"52388864\"]\n  28 [size=\"20983808\", alpha=\"0.14\", expect_size=\"10491904\"] \n  28 -> 29 [size =\"10491904\"]\n  29 [size=\"53610496\", alpha=\"0.16\", expect_size=\"26805248\"] \n  29 -> 30 [size =\"26805248\"]\n  30 [size=\"24918016\", alpha=\"0.16\", expect_size=\"12459008\"] \n  30 -> 31 [size =\"12459008\"]\n  31 [size=\"23560192\", alpha=\"0.14\", expect_size=\"11780096\"] \n  31 -> 32 [size =\"11780096\"]\n  32 [size=\"61325312\", alpha=\"0.10\", expect_size=\"30662656\"] \n  32 -> 33 [size =\"30662656\"]\n  33 [size=\"67014656\", alpha=\"0.04\", expect_size=\"33507328\"] \n  33 -> 34 [size =\"33507328\"]\n  34 [size=\"10526720\", alpha=\"0.14\", expect_size=\"5263360\"] \n  34 -> 35 [size =\"5263360\"]\n  35 [size=\"26058752\", alpha=\"0.06\", expect_size=\"13029376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29762560\", alpha=\"0.04\", expect_size=\"11905024\"] \n  1 -> 11 [size =\"11905024\"]\n  1 -> 13 [size =\"11905024\"]\n  1 -> 14 [size =\"11905024\"]\n  1 -> 16 [size =\"11905024\"]\n  1 -> 20 [size =\"11905024\"]\n  2 [size=\"108428800\", alpha=\"0.19\", expect_size=\"43371520\"] \n  2 -> 8 [size =\"43371520\"]\n  2 -> 16 [size =\"43371520\"]\n  2 -> 19 [size =\"43371520\"]\n  2 -> 20 [size =\"43371520\"]\n  3 [size=\"97264640\", alpha=\"0.17\", expect_size=\"38905856\"] \n  3 -> 15 [size =\"38905856\"]\n  3 -> 19 [size =\"38905856\"]\n  4 [size=\"22479360\", alpha=\"0.15\", expect_size=\"8991744\"] \n  4 -> 8 [size =\"8991744\"]\n  4 -> 9 [size =\"8991744\"]\n  4 -> 12 [size =\"8991744\"]\n  5 [size=\"27840000\", alpha=\"0.16\", expect_size=\"11136000\"] \n  5 -> 8 [size =\"11136000\"]\n  5 -> 9 [size =\"11136000\"]\n  5 -> 12 [size =\"11136000\"]\n  5 -> 17 [size =\"11136000\"]\n  5 -> 18 [size =\"11136000\"]\n  6 [size=\"116254720\", alpha=\"0.04\", expect_size=\"46501888\"] \n  6 -> 8 [size =\"46501888\"]\n  6 -> 9 [size =\"46501888\"]\n  6 -> 11 [size =\"46501888\"]\n  6 -> 14 [size =\"46501888\"]\n  6 -> 15 [size =\"46501888\"]\n  6 -> 18 [size =\"46501888\"]\n  6 -> 20 [size =\"46501888\"]\n  7 [size=\"107399680\", alpha=\"0.09\", expect_size=\"42959872\"] \n  7 -> 9 [size =\"42959872\"]\n  7 -> 10 [size =\"42959872\"]\n  7 -> 11 [size =\"42959872\"]\n  7 -> 12 [size =\"42959872\"]\n  7 -> 14 [size =\"42959872\"]\n  7 -> 18 [size =\"42959872\"]\n  8 [size=\"81047040\", alpha=\"0.09\", expect_size=\"32418816\"] \n  8 -> 25 [size =\"32418816\"]\n  8 -> 26 [size =\"32418816\"]\n  9 [size=\"41971200\", alpha=\"0.11\", expect_size=\"16788480\"] \n  9 -> 23 [size =\"16788480\"]\n  9 -> 25 [size =\"16788480\"]\n  9 -> 26 [size =\"16788480\"]\n  9 -> 28 [size =\"16788480\"]\n  10 [size=\"118586880\", alpha=\"0.12\", expect_size=\"47434752\"] \n  10 -> 21 [size =\"47434752\"]\n  10 -> 23 [size =\"47434752\"]\n  10 -> 26 [size =\"47434752\"]\n  11 [size=\"125012480\", alpha=\"0.15\", expect_size=\"50004992\"] \n  11 -> 21 [size =\"50004992\"]\n  11 -> 22 [size =\"50004992\"]\n  12 [size=\"32028160\", alpha=\"0.19\", expect_size=\"12811264\"] \n  13 [size=\"26826240\", alpha=\"0.03\", expect_size=\"10730496\"] \n  13 -> 24 [size =\"10730496\"]\n  13 -> 25 [size =\"10730496\"]\n  14 [size=\"126676480\", alpha=\"0.20\", expect_size=\"50670592\"] \n  14 -> 25 [size =\"50670592\"]\n  15 [size=\"95951360\", alpha=\"0.15\", expect_size=\"38380544\"] \n  15 -> 25 [size =\"38380544\"]\n  16 [size=\"69552640\", alpha=\"0.03\", expect_size=\"27821056\"] \n  16 -> 25 [size =\"27821056\"]\n  16 -> 27 [size =\"27821056\"]\n  17 [size=\"93386240\", alpha=\"0.19\", expect_size=\"37354496\"] \n  18 [size=\"25758720\", alpha=\"0.15\", expect_size=\"10303488\"] \n  19 [size=\"77299200\", alpha=\"0.13\", expect_size=\"30919680\"] \n  19 -> 22 [size =\"30919680\"]\n  19 -> 23 [size =\"30919680\"]\n  20 [size=\"23114240\", alpha=\"0.16\", expect_size=\"9245696\"] \n  20 -> 22 [size =\"9245696\"]\n  20 -> 26 [size =\"9245696\"]\n  21 [size=\"93982720\", alpha=\"0.02\", expect_size=\"37593088\"] \n  21 -> 29 [size =\"37593088\"]\n  22 [size=\"63024640\", alpha=\"0.04\", expect_size=\"25209856\"] \n  22 -> 30 [size =\"25209856\"]\n  22 -> 31 [size =\"25209856\"]\n  23 [size=\"56908800\", alpha=\"0.20\", expect_size=\"22763520\"] \n  23 -> 31 [size =\"22763520\"]\n  23 -> 34 [size =\"22763520\"]\n  24 [size=\"72806400\", alpha=\"0.18\", expect_size=\"29122560\"] \n  24 -> 29 [size =\"29122560\"]\n  24 -> 31 [size =\"29122560\"]\n  25 [size=\"69969920\", alpha=\"0.18\", expect_size=\"27987968\"] \n  25 -> 31 [size =\"27987968\"]\n  25 -> 32 [size =\"27987968\"]\n  25 -> 33 [size =\"27987968\"]\n  26 [size=\"39910400\", alpha=\"0.16\", expect_size=\"15964160\"] \n  26 -> 32 [size =\"15964160\"]\n  27 [size=\"58593280\", alpha=\"0.09\", expect_size=\"23437312\"] \n  28 [size=\"55616000\", alpha=\"0.15\", expect_size=\"22246400\"] \n  28 -> 29 [size =\"22246400\"]\n  28 -> 34 [size =\"22246400\"]\n  29 [size=\"27783680\", alpha=\"0.05\", expect_size=\"11113472\"] \n  30 [size=\"106255360\", alpha=\"0.13\", expect_size=\"42502144\"] \n  31 [size=\"83904000\", alpha=\"0.20\", expect_size=\"33561600\"] \n  32 [size=\"95352320\", alpha=\"0.10\", expect_size=\"38140928\"] \n  32 -> 35 [size =\"38140928\"]\n  33 [size=\"117959680\", alpha=\"0.03\", expect_size=\"47183872\"] \n  33 -> 35 [size =\"47183872\"]\n  34 [size=\"117916160\", alpha=\"0.14\", expect_size=\"47166464\"] \n  35 [size=\"104596480\", alpha=\"0.00\", expect_size=\"41838592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29659136\", alpha=\"0.02\", expect_size=\"14829568\"] \n  1 -> 10 [size =\"14829568\"]\n  1 -> 12 [size =\"14829568\"]\n  1 -> 18 [size =\"14829568\"]\n  1 -> 21 [size =\"14829568\"]\n  2 [size=\"44685312\", alpha=\"0.08\", expect_size=\"22342656\"] \n  2 -> 11 [size =\"22342656\"]\n  2 -> 13 [size =\"22342656\"]\n  2 -> 14 [size =\"22342656\"]\n  2 -> 15 [size =\"22342656\"]\n  2 -> 23 [size =\"22342656\"]\n  2 -> 25 [size =\"22342656\"]\n  3 [size=\"93941760\", alpha=\"0.01\", expect_size=\"46970880\"] \n  3 -> 10 [size =\"46970880\"]\n  3 -> 12 [size =\"46970880\"]\n  3 -> 13 [size =\"46970880\"]\n  3 -> 17 [size =\"46970880\"]\n  3 -> 23 [size =\"46970880\"]\n  3 -> 24 [size =\"46970880\"]\n  3 -> 25 [size =\"46970880\"]\n  4 [size=\"104353792\", alpha=\"0.01\", expect_size=\"52176896\"] \n  4 -> 10 [size =\"52176896\"]\n  4 -> 13 [size =\"52176896\"]\n  4 -> 15 [size =\"52176896\"]\n  4 -> 18 [size =\"52176896\"]\n  4 -> 19 [size =\"52176896\"]\n  4 -> 21 [size =\"52176896\"]\n  4 -> 23 [size =\"52176896\"]\n  4 -> 25 [size =\"52176896\"]\n  5 [size=\"35692544\", alpha=\"0.13\", expect_size=\"17846272\"] \n  5 -> 12 [size =\"17846272\"]\n  5 -> 13 [size =\"17846272\"]\n  5 -> 15 [size =\"17846272\"]\n  5 -> 18 [size =\"17846272\"]\n  5 -> 19 [size =\"17846272\"]\n  5 -> 20 [size =\"17846272\"]\n  5 -> 23 [size =\"17846272\"]\n  5 -> 24 [size =\"17846272\"]\n  5 -> 25 [size =\"17846272\"]\n  6 [size=\"73127936\", alpha=\"0.10\", expect_size=\"36563968\"] \n  6 -> 10 [size =\"36563968\"]\n  6 -> 11 [size =\"36563968\"]\n  6 -> 13 [size =\"36563968\"]\n  6 -> 14 [size =\"36563968\"]\n  6 -> 15 [size =\"36563968\"]\n  6 -> 18 [size =\"36563968\"]\n  6 -> 21 [size =\"36563968\"]\n  7 [size=\"60645376\", alpha=\"0.01\", expect_size=\"30322688\"] \n  7 -> 10 [size =\"30322688\"]\n  7 -> 12 [size =\"30322688\"]\n  7 -> 13 [size =\"30322688\"]\n  7 -> 14 [size =\"30322688\"]\n  7 -> 15 [size =\"30322688\"]\n  7 -> 16 [size =\"30322688\"]\n  7 -> 17 [size =\"30322688\"]\n  7 -> 18 [size =\"30322688\"]\n  7 -> 19 [size =\"30322688\"]\n  7 -> 23 [size =\"30322688\"]\n  7 -> 25 [size =\"30322688\"]\n  8 [size=\"37607424\", alpha=\"0.00\", expect_size=\"18803712\"] \n  8 -> 10 [size =\"18803712\"]\n  8 -> 11 [size =\"18803712\"]\n  8 -> 13 [size =\"18803712\"]\n  8 -> 15 [size =\"18803712\"]\n  8 -> 15 [size =\"18803712\"]\n  8 -> 18 [size =\"18803712\"]\n  8 -> 21 [size =\"18803712\"]\n  8 -> 25 [size =\"18803712\"]\n  9 [size=\"76013568\", alpha=\"0.18\", expect_size=\"38006784\"] \n  9 -> 10 [size =\"38006784\"]\n  9 -> 11 [size =\"38006784\"]\n  9 -> 12 [size =\"38006784\"]\n  9 -> 15 [size =\"38006784\"]\n  9 -> 16 [size =\"38006784\"]\n  9 -> 18 [size =\"38006784\"]\n  9 -> 22 [size =\"38006784\"]\n  9 -> 23 [size =\"38006784\"]\n  9 -> 25 [size =\"38006784\"]\n  9 -> 26 [size =\"38006784\"]\n  10 [size=\"24619008\", alpha=\"0.17\", expect_size=\"12309504\"] \n  10 -> 31 [size =\"12309504\"]\n  10 -> 35 [size =\"12309504\"]\n  11 [size=\"57864192\", alpha=\"0.06\", expect_size=\"28932096\"] \n  11 -> 27 [size =\"28932096\"]\n  11 -> 29 [size =\"28932096\"]\n  11 -> 30 [size =\"28932096\"]\n  11 -> 31 [size =\"28932096\"]\n  11 -> 32 [size =\"28932096\"]\n  12 [size=\"65978368\", alpha=\"0.12\", expect_size=\"32989184\"] \n  12 -> 27 [size =\"32989184\"]\n  12 -> 29 [size =\"32989184\"]\n  12 -> 32 [size =\"32989184\"]\n  12 -> 33 [size =\"32989184\"]\n  12 -> 35 [size =\"32989184\"]\n  13 [size=\"11487232\", alpha=\"0.01\", expect_size=\"5743616\"] \n  13 -> 29 [size =\"5743616\"]\n  13 -> 32 [size =\"5743616\"]\n  14 [size=\"15372288\", alpha=\"0.10\", expect_size=\"7686144\"] \n  14 -> 27 [size =\"7686144\"]\n  14 -> 28 [size =\"7686144\"]\n  14 -> 31 [size =\"7686144\"]\n  14 -> 32 [size =\"7686144\"]\n  14 -> 35 [size =\"7686144\"]\n  15 [size=\"21702656\", alpha=\"0.02\", expect_size=\"10851328\"] \n  15 -> 27 [size =\"10851328\"]\n  15 -> 29 [size =\"10851328\"]\n  15 -> 32 [size =\"10851328\"]\n  15 -> 35 [size =\"10851328\"]\n  16 [size=\"83832832\", alpha=\"0.04\", expect_size=\"41916416\"] \n  16 -> 28 [size =\"41916416\"]\n  17 [size=\"38963200\", alpha=\"0.17\", expect_size=\"19481600\"] \n  17 -> 27 [size =\"19481600\"]\n  17 -> 28 [size =\"19481600\"]\n  17 -> 29 [size =\"19481600\"]\n  17 -> 32 [size =\"19481600\"]\n  18 [size=\"43452416\", alpha=\"0.14\", expect_size=\"21726208\"] \n  18 -> 27 [size =\"21726208\"]\n  18 -> 28 [size =\"21726208\"]\n  18 -> 32 [size =\"21726208\"]\n  18 -> 35 [size =\"21726208\"]\n  19 [size=\"43653120\", alpha=\"0.07\", expect_size=\"21826560\"] \n  19 -> 27 [size =\"21826560\"]\n  19 -> 28 [size =\"21826560\"]\n  19 -> 29 [size =\"21826560\"]\n  19 -> 31 [size =\"21826560\"]\n  19 -> 32 [size =\"21826560\"]\n  19 -> 34 [size =\"21826560\"]\n  19 -> 35 [size =\"21826560\"]\n  20 [size=\"32305152\", alpha=\"0.06\", expect_size=\"16152576\"] \n  20 -> 29 [size =\"16152576\"]\n  20 -> 30 [size =\"16152576\"]\n  20 -> 32 [size =\"16152576\"]\n  20 -> 35 [size =\"16152576\"]\n  21 [size=\"18737152\", alpha=\"0.09\", expect_size=\"9368576\"] \n  21 -> 29 [size =\"9368576\"]\n  21 -> 32 [size =\"9368576\"]\n  21 -> 33 [size =\"9368576\"]\n  21 -> 35 [size =\"9368576\"]\n  22 [size=\"45142016\", alpha=\"0.20\", expect_size=\"22571008\"] \n  22 -> 27 [size =\"22571008\"]\n  22 -> 28 [size =\"22571008\"]\n  22 -> 30 [size =\"22571008\"]\n  22 -> 31 [size =\"22571008\"]\n  22 -> 32 [size =\"22571008\"]\n  22 -> 35 [size =\"22571008\"]\n  23 [size=\"100153344\", alpha=\"0.08\", expect_size=\"50076672\"] \n  23 -> 27 [size =\"50076672\"]\n  23 -> 28 [size =\"50076672\"]\n  23 -> 29 [size =\"50076672\"]\n  23 -> 30 [size =\"50076672\"]\n  23 -> 33 [size =\"50076672\"]\n  23 -> 34 [size =\"50076672\"]\n  23 -> 35 [size =\"50076672\"]\n  24 [size=\"11384832\", alpha=\"0.16\", expect_size=\"5692416\"] \n  24 -> 29 [size =\"5692416\"]\n  24 -> 31 [size =\"5692416\"]\n  24 -> 32 [size =\"5692416\"]\n  24 -> 33 [size =\"5692416\"]\n  24 -> 33 [size =\"5692416\"]\n  24 -> 34 [size =\"5692416\"]\n  24 -> 35 [size =\"5692416\"]\n  25 [size=\"59654144\", alpha=\"0.09\", expect_size=\"29827072\"] \n  25 -> 27 [size =\"29827072\"]\n  25 -> 32 [size =\"29827072\"]\n  25 -> 32 [size =\"29827072\"]\n  26 [size=\"70690816\", alpha=\"0.15\", expect_size=\"35345408\"] \n  26 -> 27 [size =\"35345408\"]\n  26 -> 31 [size =\"35345408\"]\n  27 [size=\"91498496\", alpha=\"0.13\", expect_size=\"45749248\"] \n  28 [size=\"75724800\", alpha=\"0.16\", expect_size=\"37862400\"] \n  29 [size=\"49711104\", alpha=\"0.12\", expect_size=\"24855552\"] \n  30 [size=\"83150848\", alpha=\"0.12\", expect_size=\"41575424\"] \n  31 [size=\"17756160\", alpha=\"0.02\", expect_size=\"8878080\"] \n  32 [size=\"61446144\", alpha=\"0.04\", expect_size=\"30723072\"] \n  33 [size=\"59678720\", alpha=\"0.06\", expect_size=\"29839360\"] \n  34 [size=\"95909888\", alpha=\"0.08\", expect_size=\"47954944\"] \n  35 [size=\"75266048\", alpha=\"0.14\", expect_size=\"37633024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86709760\", alpha=\"0.16\", expect_size=\"34683904\"] \n  1 -> 2 [size =\"34683904\"]\n  2 [size=\"74475520\", alpha=\"0.07\", expect_size=\"29790208\"] \n  2 -> 3 [size =\"29790208\"]\n  3 [size=\"15347200\", alpha=\"0.03\", expect_size=\"6138880\"] \n  3 -> 4 [size =\"6138880\"]\n  4 [size=\"22336000\", alpha=\"0.07\", expect_size=\"8934400\"] \n  4 -> 5 [size =\"8934400\"]\n  5 [size=\"78077440\", alpha=\"0.08\", expect_size=\"31230976\"] \n  5 -> 6 [size =\"31230976\"]\n  6 [size=\"128947200\", alpha=\"0.11\", expect_size=\"51578880\"] \n  6 -> 7 [size =\"51578880\"]\n  7 [size=\"72593920\", alpha=\"0.16\", expect_size=\"29037568\"] \n  7 -> 8 [size =\"29037568\"]\n  8 [size=\"55439360\", alpha=\"0.17\", expect_size=\"22175744\"] \n  8 -> 9 [size =\"22175744\"]\n  9 [size=\"93155840\", alpha=\"0.05\", expect_size=\"37262336\"] \n  9 -> 10 [size =\"37262336\"]\n  10 [size=\"17594880\", alpha=\"0.02\", expect_size=\"7037952\"] \n  10 -> 11 [size =\"7037952\"]\n  11 [size=\"100544000\", alpha=\"0.10\", expect_size=\"40217600\"] \n  11 -> 12 [size =\"40217600\"]\n  12 [size=\"75545600\", alpha=\"0.08\", expect_size=\"30218240\"] \n  12 -> 13 [size =\"30218240\"]\n  13 [size=\"115950080\", alpha=\"0.14\", expect_size=\"46380032\"] \n  13 -> 14 [size =\"46380032\"]\n  14 [size=\"14612480\", alpha=\"0.01\", expect_size=\"5844992\"] \n  14 -> 15 [size =\"5844992\"]\n  15 [size=\"53424640\", alpha=\"0.12\", expect_size=\"21369856\"] \n  15 -> 16 [size =\"21369856\"]\n  16 [size=\"98467840\", alpha=\"0.07\", expect_size=\"39387136\"] \n  16 -> 17 [size =\"39387136\"]\n  17 [size=\"42496000\", alpha=\"0.17\", expect_size=\"16998400\"] \n  17 -> 18 [size =\"16998400\"]\n  18 [size=\"16225280\", alpha=\"0.06\", expect_size=\"6490112\"] \n  18 -> 19 [size =\"6490112\"]\n  19 [size=\"118830080\", alpha=\"0.06\", expect_size=\"47532032\"] \n  19 -> 20 [size =\"47532032\"]\n  20 [size=\"31669760\", alpha=\"0.12\", expect_size=\"12667904\"] \n  20 -> 21 [size =\"12667904\"]\n  21 [size=\"45007360\", alpha=\"0.11\", expect_size=\"18002944\"] \n  21 -> 22 [size =\"18002944\"]\n  22 [size=\"103564800\", alpha=\"0.00\", expect_size=\"41425920\"] \n  22 -> 23 [size =\"41425920\"]\n  23 [size=\"34910720\", alpha=\"0.10\", expect_size=\"13964288\"] \n  23 -> 24 [size =\"13964288\"]\n  24 [size=\"118712320\", alpha=\"0.01\", expect_size=\"47484928\"] \n  24 -> 25 [size =\"47484928\"]\n  25 [size=\"125808640\", alpha=\"0.03\", expect_size=\"50323456\"] \n  25 -> 26 [size =\"50323456\"]\n  26 [size=\"79252480\", alpha=\"0.05\", expect_size=\"31700992\"] \n  26 -> 27 [size =\"31700992\"]\n  27 [size=\"118187520\", alpha=\"0.17\", expect_size=\"47275008\"] \n  27 -> 28 [size =\"47275008\"]\n  28 [size=\"101288960\", alpha=\"0.16\", expect_size=\"40515584\"] \n  28 -> 29 [size =\"40515584\"]\n  29 [size=\"21004800\", alpha=\"0.09\", expect_size=\"8401920\"] \n  29 -> 30 [size =\"8401920\"]\n  30 [size=\"57128960\", alpha=\"0.02\", expect_size=\"22851584\"] \n  30 -> 31 [size =\"22851584\"]\n  31 [size=\"130554880\", alpha=\"0.10\", expect_size=\"52221952\"] \n  31 -> 32 [size =\"52221952\"]\n  32 [size=\"78960640\", alpha=\"0.09\", expect_size=\"31584256\"] \n  32 -> 33 [size =\"31584256\"]\n  33 [size=\"81676800\", alpha=\"0.05\", expect_size=\"32670720\"] \n  33 -> 34 [size =\"32670720\"]\n  34 [size=\"22983680\", alpha=\"0.02\", expect_size=\"9193472\"] \n  34 -> 35 [size =\"9193472\"]\n  35 [size=\"30072320\", alpha=\"0.05\", expect_size=\"12028928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55511040\", alpha=\"0.16\", expect_size=\"16653312\"] \n  1 -> 8 [size =\"16653312\"]\n  1 -> 9 [size =\"16653312\"]\n  2 [size=\"67935573\", alpha=\"0.12\", expect_size=\"20380672\"] \n  3 [size=\"72946347\", alpha=\"0.15\", expect_size=\"21883904\"] \n  3 -> 5 [size =\"21883904\"]\n  3 -> 6 [size =\"21883904\"]\n  4 [size=\"138233173\", alpha=\"0.08\", expect_size=\"41469952\"] \n  4 -> 5 [size =\"41469952\"]\n  4 -> 7 [size =\"41469952\"]\n  4 -> 8 [size =\"41469952\"]\n  5 [size=\"19271680\", alpha=\"0.10\", expect_size=\"5781504\"] \n  6 [size=\"149230933\", alpha=\"0.00\", expect_size=\"44769280\"] \n  6 -> 10 [size =\"44769280\"]\n  7 [size=\"104099840\", alpha=\"0.01\", expect_size=\"31229952\"] \n  7 -> 11 [size =\"31229952\"]\n  8 [size=\"75659947\", alpha=\"0.10\", expect_size=\"22697984\"] \n  8 -> 12 [size =\"22697984\"]\n  9 [size=\"39010987\", alpha=\"0.11\", expect_size=\"11703296\"] \n  9 -> 13 [size =\"11703296\"]\n  9 -> 14 [size =\"11703296\"]\n  10 [size=\"112537600\", alpha=\"0.11\", expect_size=\"33761280\"] \n  10 -> 15 [size =\"33761280\"]\n  11 [size=\"31972693\", alpha=\"0.19\", expect_size=\"9591808\"] \n  11 -> 15 [size =\"9591808\"]\n  12 [size=\"160436907\", alpha=\"0.06\", expect_size=\"48131072\"] \n  13 [size=\"98624853\", alpha=\"0.18\", expect_size=\"29587456\"] \n  13 -> 17 [size =\"29587456\"]\n  14 [size=\"57883307\", alpha=\"0.06\", expect_size=\"17364992\"] \n  14 -> 15 [size =\"17364992\"]\n  14 -> 16 [size =\"17364992\"]\n  15 [size=\"124439893\", alpha=\"0.02\", expect_size=\"37331968\"] \n  15 -> 18 [size =\"37331968\"]\n  15 -> 20 [size =\"37331968\"]\n  15 -> 21 [size =\"37331968\"]\n  16 [size=\"43380053\", alpha=\"0.18\", expect_size=\"13014016\"] \n  16 -> 18 [size =\"13014016\"]\n  16 -> 19 [size =\"13014016\"]\n  16 -> 21 [size =\"13014016\"]\n  17 [size=\"46455467\", alpha=\"0.05\", expect_size=\"13936640\"] \n  17 -> 19 [size =\"13936640\"]\n  17 -> 20 [size =\"13936640\"]\n  18 [size=\"55135573\", alpha=\"0.01\", expect_size=\"16540672\"] \n  18 -> 24 [size =\"16540672\"]\n  18 -> 26 [size =\"16540672\"]\n  18 -> 27 [size =\"16540672\"]\n  19 [size=\"130324480\", alpha=\"0.08\", expect_size=\"39097344\"] \n  19 -> 27 [size =\"39097344\"]\n  20 [size=\"62969173\", alpha=\"0.12\", expect_size=\"18890752\"] \n  20 -> 22 [size =\"18890752\"]\n  20 -> 23 [size =\"18890752\"]\n  20 -> 26 [size =\"18890752\"]\n  21 [size=\"145790293\", alpha=\"0.01\", expect_size=\"43737088\"] \n  21 -> 22 [size =\"43737088\"]\n  21 -> 25 [size =\"43737088\"]\n  22 [size=\"137823573\", alpha=\"0.17\", expect_size=\"41347072\"] \n  22 -> 31 [size =\"41347072\"]\n  22 -> 33 [size =\"41347072\"]\n  23 [size=\"25965227\", alpha=\"0.19\", expect_size=\"7789568\"] \n  23 -> 31 [size =\"7789568\"]\n  23 -> 33 [size =\"7789568\"]\n  24 [size=\"164638720\", alpha=\"0.17\", expect_size=\"49391616\"] \n  24 -> 29 [size =\"49391616\"]\n  24 -> 30 [size =\"49391616\"]\n  24 -> 31 [size =\"49391616\"]\n  25 [size=\"53316267\", alpha=\"0.15\", expect_size=\"15994880\"] \n  25 -> 30 [size =\"15994880\"]\n  26 [size=\"69669547\", alpha=\"0.10\", expect_size=\"20900864\"] \n  26 -> 30 [size =\"20900864\"]\n  27 [size=\"57364480\", alpha=\"0.15\", expect_size=\"17209344\"] \n  27 -> 28 [size =\"17209344\"]\n  27 -> 29 [size =\"17209344\"]\n  27 -> 32 [size =\"17209344\"]\n  27 -> 33 [size =\"17209344\"]\n  28 [size=\"96368640\", alpha=\"0.09\", expect_size=\"28910592\"] \n  28 -> 35 [size =\"28910592\"]\n  29 [size=\"106687147\", alpha=\"0.04\", expect_size=\"32006144\"] \n  29 -> 35 [size =\"32006144\"]\n  30 [size=\"171970560\", alpha=\"0.12\", expect_size=\"51591168\"] \n  30 -> 34 [size =\"51591168\"]\n  31 [size=\"112216747\", alpha=\"0.02\", expect_size=\"33665024\"] \n  31 -> 34 [size =\"33665024\"]\n  32 [size=\"122750293\", alpha=\"0.10\", expect_size=\"36825088\"] \n  33 [size=\"96740693\", alpha=\"0.09\", expect_size=\"29022208\"] \n  34 [size=\"89661440\", alpha=\"0.12\", expect_size=\"26898432\"] \n  35 [size=\"64989867\", alpha=\"0.09\", expect_size=\"19496960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88798720\", alpha=\"0.00\", expect_size=\"35519488\"] \n  1 -> 6 [size =\"35519488\"]\n  1 -> 7 [size =\"35519488\"]\n  1 -> 10 [size =\"35519488\"]\n  2 [size=\"93964800\", alpha=\"0.03\", expect_size=\"37585920\"] \n  3 [size=\"16601600\", alpha=\"0.06\", expect_size=\"6640640\"] \n  3 -> 8 [size =\"6640640\"]\n  3 -> 9 [size =\"6640640\"]\n  4 [size=\"37975040\", alpha=\"0.05\", expect_size=\"15190016\"] \n  4 -> 7 [size =\"15190016\"]\n  4 -> 8 [size =\"15190016\"]\n  4 -> 9 [size =\"15190016\"]\n  5 [size=\"49489920\", alpha=\"0.08\", expect_size=\"19795968\"] \n  5 -> 6 [size =\"19795968\"]\n  5 -> 7 [size =\"19795968\"]\n  5 -> 9 [size =\"19795968\"]\n  6 [size=\"75066880\", alpha=\"0.16\", expect_size=\"30026752\"] \n  7 [size=\"111334400\", alpha=\"0.10\", expect_size=\"44533760\"] \n  7 -> 12 [size =\"44533760\"]\n  7 -> 13 [size =\"44533760\"]\n  7 -> 14 [size =\"44533760\"]\n  8 [size=\"27783680\", alpha=\"0.05\", expect_size=\"11113472\"] \n  8 -> 11 [size =\"11113472\"]\n  8 -> 12 [size =\"11113472\"]\n  8 -> 14 [size =\"11113472\"]\n  9 [size=\"101621760\", alpha=\"0.14\", expect_size=\"40648704\"] \n  9 -> 13 [size =\"40648704\"]\n  9 -> 14 [size =\"40648704\"]\n  10 [size=\"120023040\", alpha=\"0.00\", expect_size=\"48009216\"] \n  10 -> 13 [size =\"48009216\"]\n  11 [size=\"117486080\", alpha=\"0.14\", expect_size=\"46994432\"] \n  11 -> 17 [size =\"46994432\"]\n  12 [size=\"118471680\", alpha=\"0.06\", expect_size=\"47388672\"] \n  12 -> 16 [size =\"47388672\"]\n  13 [size=\"18393600\", alpha=\"0.18\", expect_size=\"7357440\"] \n  13 -> 15 [size =\"7357440\"]\n  13 -> 18 [size =\"7357440\"]\n  14 [size=\"56437760\", alpha=\"0.07\", expect_size=\"22575104\"] \n  14 -> 18 [size =\"22575104\"]\n  15 [size=\"84654080\", alpha=\"0.01\", expect_size=\"33861632\"] \n  15 -> 20 [size =\"33861632\"]\n  15 -> 21 [size =\"33861632\"]\n  15 -> 22 [size =\"33861632\"]\n  16 [size=\"14968320\", alpha=\"0.15\", expect_size=\"5987328\"] \n  16 -> 20 [size =\"5987328\"]\n  17 [size=\"108288000\", alpha=\"0.15\", expect_size=\"43315200\"] \n  18 [size=\"46773760\", alpha=\"0.16\", expect_size=\"18709504\"] \n  18 -> 19 [size =\"18709504\"]\n  18 -> 20 [size =\"18709504\"]\n  18 -> 22 [size =\"18709504\"]\n  19 [size=\"73917440\", alpha=\"0.20\", expect_size=\"29566976\"] \n  19 -> 23 [size =\"29566976\"]\n  19 -> 26 [size =\"29566976\"]\n  20 [size=\"39490560\", alpha=\"0.02\", expect_size=\"15796224\"] \n  20 -> 24 [size =\"15796224\"]\n  20 -> 25 [size =\"15796224\"]\n  20 -> 27 [size =\"15796224\"]\n  21 [size=\"40460800\", alpha=\"0.17\", expect_size=\"16184320\"] \n  21 -> 23 [size =\"16184320\"]\n  21 -> 24 [size =\"16184320\"]\n  21 -> 27 [size =\"16184320\"]\n  22 [size=\"125841920\", alpha=\"0.06\", expect_size=\"50336768\"] \n  22 -> 23 [size =\"50336768\"]\n  22 -> 25 [size =\"50336768\"]\n  23 [size=\"45053440\", alpha=\"0.16\", expect_size=\"18021376\"] \n  23 -> 28 [size =\"18021376\"]\n  23 -> 29 [size =\"18021376\"]\n  24 [size=\"34552320\", alpha=\"0.10\", expect_size=\"13820928\"] \n  24 -> 29 [size =\"13820928\"]\n  25 [size=\"74270720\", alpha=\"0.10\", expect_size=\"29708288\"] \n  25 -> 28 [size =\"29708288\"]\n  26 [size=\"82859520\", alpha=\"0.00\", expect_size=\"33143808\"] \n  26 -> 30 [size =\"33143808\"]\n  26 -> 31 [size =\"33143808\"]\n  27 [size=\"55111680\", alpha=\"0.07\", expect_size=\"22044672\"] \n  28 [size=\"22745600\", alpha=\"0.17\", expect_size=\"9098240\"] \n  28 -> 32 [size =\"9098240\"]\n  28 -> 33 [size =\"9098240\"]\n  28 -> 35 [size =\"9098240\"]\n  29 [size=\"119718400\", alpha=\"0.02\", expect_size=\"47887360\"] \n  29 -> 34 [size =\"47887360\"]\n  30 [size=\"117250560\", alpha=\"0.05\", expect_size=\"46900224\"] \n  30 -> 33 [size =\"46900224\"]\n  31 [size=\"129379840\", alpha=\"0.05\", expect_size=\"51751936\"] \n  31 -> 33 [size =\"51751936\"]\n  32 [size=\"113832960\", alpha=\"0.03\", expect_size=\"45533184\"] \n  33 [size=\"33507840\", alpha=\"0.03\", expect_size=\"13403136\"] \n  34 [size=\"127825920\", alpha=\"0.09\", expect_size=\"51130368\"] \n  35 [size=\"67763200\", alpha=\"0.08\", expect_size=\"27105280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134980267\", alpha=\"0.00\", expect_size=\"40494080\"] \n  1 -> 7 [size =\"40494080\"]\n  2 [size=\"17851733\", alpha=\"0.15\", expect_size=\"5355520\"] \n  2 -> 7 [size =\"5355520\"]\n  3 [size=\"96815787\", alpha=\"0.04\", expect_size=\"29044736\"] \n  3 -> 5 [size =\"29044736\"]\n  3 -> 6 [size =\"29044736\"]\n  3 -> 8 [size =\"29044736\"]\n  4 [size=\"53514240\", alpha=\"0.01\", expect_size=\"16054272\"] \n  4 -> 5 [size =\"16054272\"]\n  4 -> 6 [size =\"16054272\"]\n  4 -> 7 [size =\"16054272\"]\n  5 [size=\"165447680\", alpha=\"0.16\", expect_size=\"49634304\"] \n  5 -> 10 [size =\"49634304\"]\n  6 [size=\"57207467\", alpha=\"0.05\", expect_size=\"17162240\"] \n  6 -> 9 [size =\"17162240\"]\n  6 -> 11 [size =\"17162240\"]\n  7 [size=\"132997120\", alpha=\"0.03\", expect_size=\"39899136\"] \n  7 -> 9 [size =\"39899136\"]\n  7 -> 11 [size =\"39899136\"]\n  8 [size=\"132454400\", alpha=\"0.12\", expect_size=\"39736320\"] \n  8 -> 11 [size =\"39736320\"]\n  8 -> 12 [size =\"39736320\"]\n  9 [size=\"45677227\", alpha=\"0.05\", expect_size=\"13703168\"] \n  9 -> 14 [size =\"13703168\"]\n  9 -> 16 [size =\"13703168\"]\n  10 [size=\"127423147\", alpha=\"0.15\", expect_size=\"38226944\"] \n  10 -> 13 [size =\"38226944\"]\n  10 -> 15 [size =\"38226944\"]\n  10 -> 16 [size =\"38226944\"]\n  10 -> 17 [size =\"38226944\"]\n  11 [size=\"137434453\", alpha=\"0.03\", expect_size=\"41230336\"] \n  11 -> 13 [size =\"41230336\"]\n  11 -> 15 [size =\"41230336\"]\n  11 -> 17 [size =\"41230336\"]\n  12 [size=\"140864853\", alpha=\"0.01\", expect_size=\"42259456\"] \n  12 -> 17 [size =\"42259456\"]\n  13 [size=\"101396480\", alpha=\"0.01\", expect_size=\"30418944\"] \n  13 -> 21 [size =\"30418944\"]\n  13 -> 22 [size =\"30418944\"]\n  14 [size=\"129542827\", alpha=\"0.17\", expect_size=\"38862848\"] \n  14 -> 18 [size =\"38862848\"]\n  14 -> 21 [size =\"38862848\"]\n  14 -> 22 [size =\"38862848\"]\n  15 [size=\"138246827\", alpha=\"0.14\", expect_size=\"41474048\"] \n  15 -> 19 [size =\"41474048\"]\n  15 -> 20 [size =\"41474048\"]\n  15 -> 22 [size =\"41474048\"]\n  16 [size=\"107827200\", alpha=\"0.17\", expect_size=\"32348160\"] \n  16 -> 19 [size =\"32348160\"]\n  16 -> 20 [size =\"32348160\"]\n  16 -> 22 [size =\"32348160\"]\n  17 [size=\"145653760\", alpha=\"0.14\", expect_size=\"43696128\"] \n  17 -> 19 [size =\"43696128\"]\n  18 [size=\"169779200\", alpha=\"0.20\", expect_size=\"50933760\"] \n  18 -> 24 [size =\"50933760\"]\n  18 -> 26 [size =\"50933760\"]\n  19 [size=\"110086827\", alpha=\"0.09\", expect_size=\"33026048\"] \n  19 -> 24 [size =\"33026048\"]\n  19 -> 25 [size =\"33026048\"]\n  20 [size=\"147411627\", alpha=\"0.17\", expect_size=\"44223488\"] \n  20 -> 23 [size =\"44223488\"]\n  20 -> 27 [size =\"44223488\"]\n  21 [size=\"109291520\", alpha=\"0.20\", expect_size=\"32787456\"] \n  21 -> 24 [size =\"32787456\"]\n  22 [size=\"131365547\", alpha=\"0.02\", expect_size=\"39409664\"] \n  22 -> 24 [size =\"39409664\"]\n  23 [size=\"136328533\", alpha=\"0.15\", expect_size=\"40898560\"] \n  23 -> 31 [size =\"40898560\"]\n  23 -> 32 [size =\"40898560\"]\n  24 [size=\"143121067\", alpha=\"0.12\", expect_size=\"42936320\"] \n  24 -> 29 [size =\"42936320\"]\n  24 -> 31 [size =\"42936320\"]\n  25 [size=\"119671467\", alpha=\"0.08\", expect_size=\"35901440\"] \n  25 -> 28 [size =\"35901440\"]\n  25 -> 31 [size =\"35901440\"]\n  25 -> 32 [size =\"35901440\"]\n  26 [size=\"70894933\", alpha=\"0.10\", expect_size=\"21268480\"] \n  26 -> 28 [size =\"21268480\"]\n  26 -> 30 [size =\"21268480\"]\n  27 [size=\"44752213\", alpha=\"0.06\", expect_size=\"13425664\"] \n  27 -> 28 [size =\"13425664\"]\n  27 -> 29 [size =\"13425664\"]\n  28 [size=\"151121920\", alpha=\"0.16\", expect_size=\"45336576\"] \n  28 -> 35 [size =\"45336576\"]\n  29 [size=\"149957973\", alpha=\"0.10\", expect_size=\"44987392\"] \n  29 -> 33 [size =\"44987392\"]\n  29 -> 35 [size =\"44987392\"]\n  30 [size=\"66798933\", alpha=\"0.18\", expect_size=\"20039680\"] \n  30 -> 33 [size =\"20039680\"]\n  30 -> 34 [size =\"20039680\"]\n  30 -> 35 [size =\"20039680\"]\n  31 [size=\"43810133\", alpha=\"0.01\", expect_size=\"13143040\"] \n  31 -> 34 [size =\"13143040\"]\n  32 [size=\"41216000\", alpha=\"0.00\", expect_size=\"12364800\"] \n  32 -> 33 [size =\"12364800\"]\n  32 -> 34 [size =\"12364800\"]\n  33 [size=\"59392000\", alpha=\"0.10\", expect_size=\"17817600\"] \n  34 [size=\"20394667\", alpha=\"0.14\", expect_size=\"6118400\"] \n  35 [size=\"117551787\", alpha=\"0.13\", expect_size=\"35265536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43052373\", alpha=\"0.07\", expect_size=\"12915712\"] \n  1 -> 3 [size =\"12915712\"]\n  2 [size=\"75499520\", alpha=\"0.00\", expect_size=\"22649856\"] \n  3 [size=\"118941013\", alpha=\"0.06\", expect_size=\"35682304\"] \n  3 -> 4 [size =\"35682304\"]\n  4 [size=\"101587627\", alpha=\"0.10\", expect_size=\"30476288\"] \n  4 -> 5 [size =\"30476288\"]\n  5 [size=\"126078293\", alpha=\"0.01\", expect_size=\"37823488\"] \n  5 -> 6 [size =\"37823488\"]\n  5 -> 7 [size =\"37823488\"]\n  6 [size=\"132816213\", alpha=\"0.15\", expect_size=\"39844864\"] \n  6 -> 8 [size =\"39844864\"]\n  7 [size=\"31324160\", alpha=\"0.04\", expect_size=\"9397248\"] \n  7 -> 8 [size =\"9397248\"]\n  8 [size=\"38287360\", alpha=\"0.08\", expect_size=\"11486208\"] \n  8 -> 9 [size =\"11486208\"]\n  9 [size=\"98225493\", alpha=\"0.17\", expect_size=\"29467648\"] \n  9 -> 10 [size =\"29467648\"]\n  10 [size=\"53258240\", alpha=\"0.19\", expect_size=\"15977472\"] \n  10 -> 11 [size =\"15977472\"]\n  11 [size=\"163474773\", alpha=\"0.03\", expect_size=\"49042432\"] \n  11 -> 12 [size =\"49042432\"]\n  11 -> 13 [size =\"49042432\"]\n  12 [size=\"59613867\", alpha=\"0.04\", expect_size=\"17884160\"] \n  12 -> 14 [size =\"17884160\"]\n  13 [size=\"63225173\", alpha=\"0.11\", expect_size=\"18967552\"] \n  13 -> 14 [size =\"18967552\"]\n  14 [size=\"107158187\", alpha=\"0.04\", expect_size=\"32147456\"] \n  14 -> 15 [size =\"32147456\"]\n  14 -> 16 [size =\"32147456\"]\n  15 [size=\"31791787\", alpha=\"0.05\", expect_size=\"9537536\"] \n  15 -> 17 [size =\"9537536\"]\n  15 -> 18 [size =\"9537536\"]\n  16 [size=\"43113813\", alpha=\"0.02\", expect_size=\"12934144\"] \n  16 -> 17 [size =\"12934144\"]\n  16 -> 18 [size =\"12934144\"]\n  17 [size=\"163409920\", alpha=\"0.19\", expect_size=\"49022976\"] \n  17 -> 19 [size =\"49022976\"]\n  18 [size=\"36758187\", alpha=\"0.11\", expect_size=\"11027456\"] \n  18 -> 19 [size =\"11027456\"]\n  19 [size=\"97805653\", alpha=\"0.05\", expect_size=\"29341696\"] \n  19 -> 20 [size =\"29341696\"]\n  19 -> 21 [size =\"29341696\"]\n  20 [size=\"71860907\", alpha=\"0.09\", expect_size=\"21558272\"] \n  20 -> 22 [size =\"21558272\"]\n  21 [size=\"62126080\", alpha=\"0.16\", expect_size=\"18637824\"] \n  21 -> 22 [size =\"18637824\"]\n  22 [size=\"89217707\", alpha=\"0.11\", expect_size=\"26765312\"] \n  22 -> 23 [size =\"26765312\"]\n  23 [size=\"124163413\", alpha=\"0.19\", expect_size=\"37249024\"] \n  23 -> 24 [size =\"37249024\"]\n  23 -> 25 [size =\"37249024\"]\n  24 [size=\"51974827\", alpha=\"0.17\", expect_size=\"15592448\"] \n  24 -> 26 [size =\"15592448\"]\n  25 [size=\"84555093\", alpha=\"0.09\", expect_size=\"25366528\"] \n  25 -> 26 [size =\"25366528\"]\n  26 [size=\"121303040\", alpha=\"0.16\", expect_size=\"36390912\"] \n  26 -> 27 [size =\"36390912\"]\n  27 [size=\"135345493\", alpha=\"0.04\", expect_size=\"40603648\"] \n  27 -> 28 [size =\"40603648\"]\n  28 [size=\"125337600\", alpha=\"0.15\", expect_size=\"37601280\"] \n  28 -> 29 [size =\"37601280\"]\n  29 [size=\"53913600\", alpha=\"0.17\", expect_size=\"16174080\"] \n  29 -> 30 [size =\"16174080\"]\n  29 -> 31 [size =\"16174080\"]\n  30 [size=\"92740267\", alpha=\"0.03\", expect_size=\"27822080\"] \n  30 -> 33 [size =\"27822080\"]\n  31 [size=\"163488427\", alpha=\"0.07\", expect_size=\"49046528\"] \n  31 -> 32 [size =\"49046528\"]\n  32 [size=\"134454613\", alpha=\"0.17\", expect_size=\"40336384\"] \n  33 [size=\"63662080\", alpha=\"0.13\", expect_size=\"19098624\"] \n  33 -> 34 [size =\"19098624\"]\n  34 [size=\"52575573\", alpha=\"0.00\", expect_size=\"15772672\"] \n  34 -> 35 [size =\"15772672\"]\n  35 [size=\"28023467\", alpha=\"0.09\", expect_size=\"8407040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46663680\", alpha=\"0.06\", expect_size=\"23331840\"] \n  1 -> 2 [size =\"23331840\"]\n  2 [size=\"70275072\", alpha=\"0.01\", expect_size=\"35137536\"] \n  2 -> 3 [size =\"35137536\"]\n  3 [size=\"29421568\", alpha=\"0.01\", expect_size=\"14710784\"] \n  3 -> 4 [size =\"14710784\"]\n  4 [size=\"26095616\", alpha=\"0.08\", expect_size=\"13047808\"] \n  4 -> 5 [size =\"13047808\"]\n  5 [size=\"65292288\", alpha=\"0.00\", expect_size=\"32646144\"] \n  5 -> 6 [size =\"32646144\"]\n  6 [size=\"38338560\", alpha=\"0.02\", expect_size=\"19169280\"] \n  6 -> 7 [size =\"19169280\"]\n  7 [size=\"97939456\", alpha=\"0.03\", expect_size=\"48969728\"] \n  7 -> 8 [size =\"48969728\"]\n  8 [size=\"19978240\", alpha=\"0.06\", expect_size=\"9989120\"] \n  8 -> 9 [size =\"9989120\"]\n  9 [size=\"24000512\", alpha=\"0.02\", expect_size=\"12000256\"] \n  9 -> 10 [size =\"12000256\"]\n  10 [size=\"66160640\", alpha=\"0.16\", expect_size=\"33080320\"] \n  10 -> 11 [size =\"33080320\"]\n  11 [size=\"51845120\", alpha=\"0.06\", expect_size=\"25922560\"] \n  11 -> 12 [size =\"25922560\"]\n  12 [size=\"81862656\", alpha=\"0.15\", expect_size=\"40931328\"] \n  12 -> 13 [size =\"40931328\"]\n  13 [size=\"86214656\", alpha=\"0.18\", expect_size=\"43107328\"] \n  13 -> 14 [size =\"43107328\"]\n  14 [size=\"91009024\", alpha=\"0.20\", expect_size=\"45504512\"] \n  14 -> 15 [size =\"45504512\"]\n  15 [size=\"35444736\", alpha=\"0.18\", expect_size=\"17722368\"] \n  15 -> 16 [size =\"17722368\"]\n  16 [size=\"35887104\", alpha=\"0.11\", expect_size=\"17943552\"] \n  16 -> 17 [size =\"17943552\"]\n  17 [size=\"43120640\", alpha=\"0.10\", expect_size=\"21560320\"] \n  17 -> 18 [size =\"21560320\"]\n  18 [size=\"58112000\", alpha=\"0.00\", expect_size=\"29056000\"] \n  18 -> 19 [size =\"29056000\"]\n  19 [size=\"87164928\", alpha=\"0.01\", expect_size=\"43582464\"] \n  19 -> 20 [size =\"43582464\"]\n  20 [size=\"98332672\", alpha=\"0.04\", expect_size=\"49166336\"] \n  20 -> 21 [size =\"49166336\"]\n  21 [size=\"80246784\", alpha=\"0.15\", expect_size=\"40123392\"] \n  21 -> 22 [size =\"40123392\"]\n  22 [size=\"13568000\", alpha=\"0.18\", expect_size=\"6784000\"] \n  22 -> 23 [size =\"6784000\"]\n  23 [size=\"85012480\", alpha=\"0.06\", expect_size=\"42506240\"] \n  23 -> 24 [size =\"42506240\"]\n  24 [size=\"73871360\", alpha=\"0.16\", expect_size=\"36935680\"] \n  24 -> 25 [size =\"36935680\"]\n  25 [size=\"73033728\", alpha=\"0.19\", expect_size=\"36516864\"] \n  25 -> 26 [size =\"36516864\"]\n  26 [size=\"63827968\", alpha=\"0.07\", expect_size=\"31913984\"] \n  26 -> 27 [size =\"31913984\"]\n  27 [size=\"22562816\", alpha=\"0.14\", expect_size=\"11281408\"] \n  27 -> 28 [size =\"11281408\"]\n  28 [size=\"68063232\", alpha=\"0.03\", expect_size=\"34031616\"] \n  28 -> 29 [size =\"34031616\"]\n  29 [size=\"68145152\", alpha=\"0.15\", expect_size=\"34072576\"] \n  29 -> 30 [size =\"34072576\"]\n  30 [size=\"71542784\", alpha=\"0.18\", expect_size=\"35771392\"] \n  30 -> 31 [size =\"35771392\"]\n  31 [size=\"89761792\", alpha=\"0.10\", expect_size=\"44880896\"] \n  31 -> 32 [size =\"44880896\"]\n  32 [size=\"64608256\", alpha=\"0.18\", expect_size=\"32304128\"] \n  32 -> 33 [size =\"32304128\"]\n  33 [size=\"55871488\", alpha=\"0.01\", expect_size=\"27935744\"] \n  33 -> 34 [size =\"27935744\"]\n  34 [size=\"82489344\", alpha=\"0.02\", expect_size=\"41244672\"] \n  34 -> 35 [size =\"41244672\"]\n  35 [size=\"65701888\", alpha=\"0.08\", expect_size=\"32850944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33879040\", alpha=\"0.11\", expect_size=\"13551616\"] \n  1 -> 2 [size =\"13551616\"]\n  2 [size=\"14451200\", alpha=\"0.09\", expect_size=\"5780480\"] \n  2 -> 3 [size =\"5780480\"]\n  3 [size=\"23910400\", alpha=\"0.15\", expect_size=\"9564160\"] \n  3 -> 4 [size =\"9564160\"]\n  4 [size=\"90135040\", alpha=\"0.10\", expect_size=\"36054016\"] \n  4 -> 5 [size =\"36054016\"]\n  5 [size=\"63042560\", alpha=\"0.10\", expect_size=\"25217024\"] \n  5 -> 6 [size =\"25217024\"]\n  6 [size=\"66380800\", alpha=\"0.03\", expect_size=\"26552320\"] \n  6 -> 7 [size =\"26552320\"]\n  7 [size=\"128371200\", alpha=\"0.13\", expect_size=\"51348480\"] \n  7 -> 8 [size =\"51348480\"]\n  8 [size=\"24381440\", alpha=\"0.14\", expect_size=\"9752576\"] \n  8 -> 9 [size =\"9752576\"]\n  9 [size=\"49246720\", alpha=\"0.04\", expect_size=\"19698688\"] \n  9 -> 10 [size =\"19698688\"]\n  10 [size=\"28963840\", alpha=\"0.04\", expect_size=\"11585536\"] \n  10 -> 11 [size =\"11585536\"]\n  11 [size=\"72076800\", alpha=\"0.09\", expect_size=\"28830720\"] \n  11 -> 12 [size =\"28830720\"]\n  12 [size=\"19217920\", alpha=\"0.15\", expect_size=\"7687168\"] \n  12 -> 13 [size =\"7687168\"]\n  13 [size=\"71441920\", alpha=\"0.11\", expect_size=\"28576768\"] \n  13 -> 14 [size =\"28576768\"]\n  14 [size=\"41013760\", alpha=\"0.16\", expect_size=\"16405504\"] \n  14 -> 15 [size =\"16405504\"]\n  15 [size=\"101416960\", alpha=\"0.07\", expect_size=\"40566784\"] \n  15 -> 16 [size =\"40566784\"]\n  16 [size=\"40102400\", alpha=\"0.06\", expect_size=\"16040960\"] \n  16 -> 17 [size =\"16040960\"]\n  17 [size=\"57384960\", alpha=\"0.04\", expect_size=\"22953984\"] \n  17 -> 18 [size =\"22953984\"]\n  18 [size=\"18549760\", alpha=\"0.03\", expect_size=\"7419904\"] \n  18 -> 19 [size =\"7419904\"]\n  19 [size=\"99965440\", alpha=\"0.04\", expect_size=\"39986176\"] \n  19 -> 20 [size =\"39986176\"]\n  20 [size=\"124482560\", alpha=\"0.16\", expect_size=\"49793024\"] \n  20 -> 21 [size =\"49793024\"]\n  21 [size=\"30722560\", alpha=\"0.12\", expect_size=\"12289024\"] \n  21 -> 22 [size =\"12289024\"]\n  22 [size=\"81832960\", alpha=\"0.07\", expect_size=\"32733184\"] \n  22 -> 23 [size =\"32733184\"]\n  23 [size=\"51601920\", alpha=\"0.05\", expect_size=\"20640768\"] \n  23 -> 24 [size =\"20640768\"]\n  24 [size=\"114229760\", alpha=\"0.16\", expect_size=\"45691904\"] \n  24 -> 25 [size =\"45691904\"]\n  25 [size=\"87782400\", alpha=\"0.15\", expect_size=\"35112960\"] \n  25 -> 26 [size =\"35112960\"]\n  26 [size=\"127877120\", alpha=\"0.03\", expect_size=\"51150848\"] \n  26 -> 27 [size =\"51150848\"]\n  27 [size=\"43445760\", alpha=\"0.11\", expect_size=\"17378304\"] \n  27 -> 28 [size =\"17378304\"]\n  28 [size=\"68736000\", alpha=\"0.01\", expect_size=\"27494400\"] \n  28 -> 29 [size =\"27494400\"]\n  29 [size=\"85839360\", alpha=\"0.17\", expect_size=\"34335744\"] \n  29 -> 30 [size =\"34335744\"]\n  30 [size=\"109245440\", alpha=\"0.15\", expect_size=\"43698176\"] \n  30 -> 31 [size =\"43698176\"]\n  31 [size=\"85957120\", alpha=\"0.04\", expect_size=\"34382848\"] \n  31 -> 32 [size =\"34382848\"]\n  32 [size=\"36753920\", alpha=\"0.13\", expect_size=\"14701568\"] \n  32 -> 33 [size =\"14701568\"]\n  33 [size=\"80942080\", alpha=\"0.12\", expect_size=\"32376832\"] \n  33 -> 34 [size =\"32376832\"]\n  34 [size=\"111362560\", alpha=\"0.17\", expect_size=\"44545024\"] \n  34 -> 35 [size =\"44545024\"]\n  35 [size=\"87080960\", alpha=\"0.16\", expect_size=\"34832384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165147307\", alpha=\"0.08\", expect_size=\"49544192\"] \n  1 -> 2 [size =\"49544192\"]\n  2 [size=\"60497920\", alpha=\"0.15\", expect_size=\"18149376\"] \n  2 -> 3 [size =\"18149376\"]\n  3 [size=\"101300907\", alpha=\"0.19\", expect_size=\"30390272\"] \n  3 -> 4 [size =\"30390272\"]\n  4 [size=\"101256533\", alpha=\"0.17\", expect_size=\"30376960\"] \n  4 -> 5 [size =\"30376960\"]\n  4 -> 6 [size =\"30376960\"]\n  5 [size=\"90722987\", alpha=\"0.19\", expect_size=\"27216896\"] \n  5 -> 7 [size =\"27216896\"]\n  5 -> 8 [size =\"27216896\"]\n  6 [size=\"107769173\", alpha=\"0.01\", expect_size=\"32330752\"] \n  6 -> 7 [size =\"32330752\"]\n  6 -> 8 [size =\"32330752\"]\n  7 [size=\"56818347\", alpha=\"0.05\", expect_size=\"17045504\"] \n  7 -> 9 [size =\"17045504\"]\n  8 [size=\"79923200\", alpha=\"0.12\", expect_size=\"23976960\"] \n  8 -> 9 [size =\"23976960\"]\n  8 -> 10 [size =\"23976960\"]\n  9 [size=\"59149653\", alpha=\"0.08\", expect_size=\"17744896\"] \n  9 -> 11 [size =\"17744896\"]\n  9 -> 12 [size =\"17744896\"]\n  10 [size=\"129945600\", alpha=\"0.18\", expect_size=\"38983680\"] \n  10 -> 11 [size =\"38983680\"]\n  11 [size=\"66966187\", alpha=\"0.06\", expect_size=\"20089856\"] \n  11 -> 14 [size =\"20089856\"]\n  12 [size=\"133406720\", alpha=\"0.12\", expect_size=\"40022016\"] \n  12 -> 13 [size =\"40022016\"]\n  12 -> 14 [size =\"40022016\"]\n  13 [size=\"95836160\", alpha=\"0.19\", expect_size=\"28750848\"] \n  13 -> 15 [size =\"28750848\"]\n  14 [size=\"87050240\", alpha=\"0.20\", expect_size=\"26115072\"] \n  15 [size=\"64849920\", alpha=\"0.14\", expect_size=\"19454976\"] \n  15 -> 16 [size =\"19454976\"]\n  16 [size=\"53248000\", alpha=\"0.15\", expect_size=\"15974400\"] \n  16 -> 17 [size =\"15974400\"]\n  17 [size=\"58989227\", alpha=\"0.05\", expect_size=\"17696768\"] \n  17 -> 18 [size =\"17696768\"]\n  18 [size=\"96017067\", alpha=\"0.12\", expect_size=\"28805120\"] \n  18 -> 19 [size =\"28805120\"]\n  18 -> 20 [size =\"28805120\"]\n  19 [size=\"33314133\", alpha=\"0.20\", expect_size=\"9994240\"] \n  19 -> 21 [size =\"9994240\"]\n  20 [size=\"94528853\", alpha=\"0.12\", expect_size=\"28358656\"] \n  20 -> 21 [size =\"28358656\"]\n  21 [size=\"76926293\", alpha=\"0.04\", expect_size=\"23077888\"] \n  21 -> 22 [size =\"23077888\"]\n  22 [size=\"126696107\", alpha=\"0.01\", expect_size=\"38008832\"] \n  22 -> 23 [size =\"38008832\"]\n  23 [size=\"61777920\", alpha=\"0.08\", expect_size=\"18533376\"] \n  23 -> 24 [size =\"18533376\"]\n  23 -> 25 [size =\"18533376\"]\n  24 [size=\"53398187\", alpha=\"0.06\", expect_size=\"16019456\"] \n  24 -> 26 [size =\"16019456\"]\n  25 [size=\"50725547\", alpha=\"0.14\", expect_size=\"15217664\"] \n  25 -> 26 [size =\"15217664\"]\n  26 [size=\"163679573\", alpha=\"0.13\", expect_size=\"49103872\"] \n  26 -> 27 [size =\"49103872\"]\n  26 -> 28 [size =\"49103872\"]\n  27 [size=\"126006613\", alpha=\"0.17\", expect_size=\"37801984\"] \n  27 -> 29 [size =\"37801984\"]\n  28 [size=\"165632000\", alpha=\"0.09\", expect_size=\"49689600\"] \n  28 -> 29 [size =\"49689600\"]\n  29 [size=\"102912000\", alpha=\"0.06\", expect_size=\"30873600\"] \n  29 -> 30 [size =\"30873600\"]\n  29 -> 31 [size =\"30873600\"]\n  30 [size=\"101021013\", alpha=\"0.17\", expect_size=\"30306304\"] \n  30 -> 32 [size =\"30306304\"]\n  31 [size=\"40929280\", alpha=\"0.15\", expect_size=\"12278784\"] \n  32 [size=\"70314667\", alpha=\"0.08\", expect_size=\"21094400\"] \n  32 -> 33 [size =\"21094400\"]\n  33 [size=\"74912427\", alpha=\"0.10\", expect_size=\"22473728\"] \n  33 -> 34 [size =\"22473728\"]\n  34 [size=\"138547200\", alpha=\"0.01\", expect_size=\"41564160\"] \n  34 -> 35 [size =\"41564160\"]\n  35 [size=\"30433280\", alpha=\"0.19\", expect_size=\"9129984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19353600\", alpha=\"0.20\", expect_size=\"9676800\"] \n  1 -> 2 [size =\"9676800\"]\n  2 [size=\"24365056\", alpha=\"0.04\", expect_size=\"12182528\"] \n  2 -> 3 [size =\"12182528\"]\n  3 [size=\"54607872\", alpha=\"0.06\", expect_size=\"27303936\"] \n  3 -> 4 [size =\"27303936\"]\n  4 [size=\"20019200\", alpha=\"0.12\", expect_size=\"10009600\"] \n  4 -> 5 [size =\"10009600\"]\n  5 [size=\"42000384\", alpha=\"0.05\", expect_size=\"21000192\"] \n  5 -> 6 [size =\"21000192\"]\n  6 [size=\"33357824\", alpha=\"0.13\", expect_size=\"16678912\"] \n  6 -> 7 [size =\"16678912\"]\n  6 -> 8 [size =\"16678912\"]\n  7 [size=\"44015616\", alpha=\"0.11\", expect_size=\"22007808\"] \n  7 -> 9 [size =\"22007808\"]\n  8 [size=\"67254272\", alpha=\"0.14\", expect_size=\"33627136\"] \n  9 [size=\"56793088\", alpha=\"0.14\", expect_size=\"28396544\"] \n  9 -> 10 [size =\"28396544\"]\n  10 [size=\"99221504\", alpha=\"0.11\", expect_size=\"49610752\"] \n  10 -> 11 [size =\"49610752\"]\n  11 [size=\"81223680\", alpha=\"0.08\", expect_size=\"40611840\"] \n  11 -> 12 [size =\"40611840\"]\n  12 [size=\"80351232\", alpha=\"0.08\", expect_size=\"40175616\"] \n  12 -> 13 [size =\"40175616\"]\n  12 -> 14 [size =\"40175616\"]\n  13 [size=\"97550336\", alpha=\"0.14\", expect_size=\"48775168\"] \n  13 -> 15 [size =\"48775168\"]\n  13 -> 16 [size =\"48775168\"]\n  14 [size=\"31275008\", alpha=\"0.02\", expect_size=\"15637504\"] \n  14 -> 15 [size =\"15637504\"]\n  15 [size=\"88262656\", alpha=\"0.11\", expect_size=\"44131328\"] \n  16 [size=\"15636480\", alpha=\"0.06\", expect_size=\"7818240\"] \n  16 -> 17 [size =\"7818240\"]\n  17 [size=\"77674496\", alpha=\"0.01\", expect_size=\"38837248\"] \n  17 -> 18 [size =\"38837248\"]\n  18 [size=\"33996800\", alpha=\"0.20\", expect_size=\"16998400\"] \n  18 -> 19 [size =\"16998400\"]\n  19 [size=\"101134336\", alpha=\"0.05\", expect_size=\"50567168\"] \n  19 -> 20 [size =\"50567168\"]\n  20 [size=\"71616512\", alpha=\"0.12\", expect_size=\"35808256\"] \n  20 -> 21 [size =\"35808256\"]\n  20 -> 22 [size =\"35808256\"]\n  21 [size=\"27631616\", alpha=\"0.00\", expect_size=\"13815808\"] \n  21 -> 23 [size =\"13815808\"]\n  22 [size=\"67354624\", alpha=\"0.12\", expect_size=\"33677312\"] \n  22 -> 23 [size =\"33677312\"]\n  23 [size=\"104208384\", alpha=\"0.12\", expect_size=\"52104192\"] \n  23 -> 24 [size =\"52104192\"]\n  24 [size=\"78188544\", alpha=\"0.15\", expect_size=\"39094272\"] \n  24 -> 25 [size =\"39094272\"]\n  25 [size=\"85440512\", alpha=\"0.05\", expect_size=\"42720256\"] \n  25 -> 26 [size =\"42720256\"]\n  25 -> 27 [size =\"42720256\"]\n  26 [size=\"43134976\", alpha=\"0.19\", expect_size=\"21567488\"] \n  26 -> 28 [size =\"21567488\"]\n  27 [size=\"71458816\", alpha=\"0.00\", expect_size=\"35729408\"] \n  28 [size=\"76326912\", alpha=\"0.14\", expect_size=\"38163456\"] \n  28 -> 29 [size =\"38163456\"]\n  28 -> 30 [size =\"38163456\"]\n  29 [size=\"75036672\", alpha=\"0.17\", expect_size=\"37518336\"] \n  29 -> 31 [size =\"37518336\"]\n  30 [size=\"100233216\", alpha=\"0.19\", expect_size=\"50116608\"] \n  30 -> 31 [size =\"50116608\"]\n  31 [size=\"61954048\", alpha=\"0.16\", expect_size=\"30977024\"] \n  31 -> 32 [size =\"30977024\"]\n  32 [size=\"63442944\", alpha=\"0.08\", expect_size=\"31721472\"] \n  32 -> 33 [size =\"31721472\"]\n  32 -> 34 [size =\"31721472\"]\n  33 [size=\"24205312\", alpha=\"0.18\", expect_size=\"12102656\"] \n  34 [size=\"82739200\", alpha=\"0.13\", expect_size=\"41369600\"] \n  34 -> 35 [size =\"41369600\"]\n  35 [size=\"59836416\", alpha=\"0.04\", expect_size=\"29918208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54484992\", alpha=\"0.01\", expect_size=\"27242496\"] \n  1 -> 13 [size =\"27242496\"]\n  1 -> 14 [size =\"27242496\"]\n  1 -> 15 [size =\"27242496\"]\n  1 -> 16 [size =\"27242496\"]\n  1 -> 17 [size =\"27242496\"]\n  1 -> 18 [size =\"27242496\"]\n  1 -> 20 [size =\"27242496\"]\n  1 -> 23 [size =\"27242496\"]\n  1 -> 24 [size =\"27242496\"]\n  2 [size=\"44662784\", alpha=\"0.18\", expect_size=\"22331392\"] \n  2 -> 13 [size =\"22331392\"]\n  2 -> 14 [size =\"22331392\"]\n  2 -> 15 [size =\"22331392\"]\n  2 -> 17 [size =\"22331392\"]\n  2 -> 17 [size =\"22331392\"]\n  2 -> 18 [size =\"22331392\"]\n  2 -> 19 [size =\"22331392\"]\n  2 -> 22 [size =\"22331392\"]\n  2 -> 24 [size =\"22331392\"]\n  3 [size=\"49190912\", alpha=\"0.09\", expect_size=\"24595456\"] \n  3 -> 13 [size =\"24595456\"]\n  3 -> 16 [size =\"24595456\"]\n  3 -> 19 [size =\"24595456\"]\n  3 -> 22 [size =\"24595456\"]\n  3 -> 24 [size =\"24595456\"]\n  4 [size=\"31283200\", alpha=\"0.08\", expect_size=\"15641600\"] \n  4 -> 13 [size =\"15641600\"]\n  4 -> 14 [size =\"15641600\"]\n  4 -> 15 [size =\"15641600\"]\n  4 -> 17 [size =\"15641600\"]\n  4 -> 19 [size =\"15641600\"]\n  4 -> 20 [size =\"15641600\"]\n  4 -> 22 [size =\"15641600\"]\n  4 -> 24 [size =\"15641600\"]\n  5 [size=\"14565376\", alpha=\"0.08\", expect_size=\"7282688\"] \n  5 -> 16 [size =\"7282688\"]\n  5 -> 17 [size =\"7282688\"]\n  5 -> 18 [size =\"7282688\"]\n  5 -> 22 [size =\"7282688\"]\n  5 -> 23 [size =\"7282688\"]\n  5 -> 24 [size =\"7282688\"]\n  6 [size=\"24244224\", alpha=\"0.07\", expect_size=\"12122112\"] \n  6 -> 16 [size =\"12122112\"]\n  6 -> 17 [size =\"12122112\"]\n  6 -> 19 [size =\"12122112\"]\n  6 -> 24 [size =\"12122112\"]\n  7 [size=\"11724800\", alpha=\"0.15\", expect_size=\"5862400\"] \n  7 -> 13 [size =\"5862400\"]\n  7 -> 15 [size =\"5862400\"]\n  7 -> 16 [size =\"5862400\"]\n  7 -> 18 [size =\"5862400\"]\n  7 -> 22 [size =\"5862400\"]\n  7 -> 23 [size =\"5862400\"]\n  8 [size=\"97974272\", alpha=\"0.16\", expect_size=\"48987136\"] \n  8 -> 20 [size =\"48987136\"]\n  8 -> 21 [size =\"48987136\"]\n  8 -> 22 [size =\"48987136\"]\n  8 -> 23 [size =\"48987136\"]\n  9 [size=\"31418368\", alpha=\"0.01\", expect_size=\"15709184\"] \n  9 -> 13 [size =\"15709184\"]\n  9 -> 15 [size =\"15709184\"]\n  9 -> 17 [size =\"15709184\"]\n  9 -> 22 [size =\"15709184\"]\n  10 [size=\"33900544\", alpha=\"0.19\", expect_size=\"16950272\"] \n  10 -> 14 [size =\"16950272\"]\n  10 -> 16 [size =\"16950272\"]\n  10 -> 17 [size =\"16950272\"]\n  10 -> 20 [size =\"16950272\"]\n  10 -> 23 [size =\"16950272\"]\n  10 -> 24 [size =\"16950272\"]\n  11 [size=\"62316544\", alpha=\"0.04\", expect_size=\"31158272\"] \n  11 -> 14 [size =\"31158272\"]\n  11 -> 19 [size =\"31158272\"]\n  11 -> 20 [size =\"31158272\"]\n  11 -> 23 [size =\"31158272\"]\n  11 -> 24 [size =\"31158272\"]\n  12 [size=\"68186112\", alpha=\"0.06\", expect_size=\"34093056\"] \n  12 -> 13 [size =\"34093056\"]\n  12 -> 14 [size =\"34093056\"]\n  12 -> 15 [size =\"34093056\"]\n  12 -> 18 [size =\"34093056\"]\n  12 -> 19 [size =\"34093056\"]\n  12 -> 20 [size =\"34093056\"]\n  12 -> 23 [size =\"34093056\"]\n  13 [size=\"60934144\", alpha=\"0.09\", expect_size=\"30467072\"] \n  13 -> 28 [size =\"30467072\"]\n  13 -> 29 [size =\"30467072\"]\n  13 -> 30 [size =\"30467072\"]\n  13 -> 31 [size =\"30467072\"]\n  13 -> 35 [size =\"30467072\"]\n  14 [size=\"104103936\", alpha=\"0.07\", expect_size=\"52051968\"] \n  14 -> 29 [size =\"52051968\"]\n  14 -> 30 [size =\"52051968\"]\n  14 -> 32 [size =\"52051968\"]\n  14 -> 33 [size =\"52051968\"]\n  14 -> 34 [size =\"52051968\"]\n  15 [size=\"49233920\", alpha=\"0.14\", expect_size=\"24616960\"] \n  15 -> 32 [size =\"24616960\"]\n  15 -> 33 [size =\"24616960\"]\n  16 [size=\"88709120\", alpha=\"0.15\", expect_size=\"44354560\"] \n  16 -> 26 [size =\"44354560\"]\n  16 -> 32 [size =\"44354560\"]\n  16 -> 34 [size =\"44354560\"]\n  17 [size=\"25556992\", alpha=\"0.20\", expect_size=\"12778496\"] \n  17 -> 25 [size =\"12778496\"]\n  17 -> 26 [size =\"12778496\"]\n  17 -> 29 [size =\"12778496\"]\n  17 -> 30 [size =\"12778496\"]\n  17 -> 32 [size =\"12778496\"]\n  17 -> 33 [size =\"12778496\"]\n  18 [size=\"94658560\", alpha=\"0.00\", expect_size=\"47329280\"] \n  18 -> 25 [size =\"47329280\"]\n  18 -> 26 [size =\"47329280\"]\n  18 -> 29 [size =\"47329280\"]\n  18 -> 32 [size =\"47329280\"]\n  18 -> 33 [size =\"47329280\"]\n  18 -> 33 [size =\"47329280\"]\n  19 [size=\"74194944\", alpha=\"0.17\", expect_size=\"37097472\"] \n  19 -> 25 [size =\"37097472\"]\n  19 -> 26 [size =\"37097472\"]\n  19 -> 27 [size =\"37097472\"]\n  19 -> 28 [size =\"37097472\"]\n  19 -> 29 [size =\"37097472\"]\n  20 [size=\"77496320\", alpha=\"0.08\", expect_size=\"38748160\"] \n  20 -> 26 [size =\"38748160\"]\n  20 -> 28 [size =\"38748160\"]\n  20 -> 29 [size =\"38748160\"]\n  20 -> 32 [size =\"38748160\"]\n  21 [size=\"72564736\", alpha=\"0.09\", expect_size=\"36282368\"] \n  21 -> 28 [size =\"36282368\"]\n  21 -> 29 [size =\"36282368\"]\n  21 -> 29 [size =\"36282368\"]\n  21 -> 34 [size =\"36282368\"]\n  22 [size=\"90019840\", alpha=\"0.17\", expect_size=\"45009920\"] \n  22 -> 28 [size =\"45009920\"]\n  22 -> 31 [size =\"45009920\"]\n  22 -> 33 [size =\"45009920\"]\n  23 [size=\"23939072\", alpha=\"0.13\", expect_size=\"11969536\"] \n  23 -> 25 [size =\"11969536\"]\n  23 -> 34 [size =\"11969536\"]\n  23 -> 35 [size =\"11969536\"]\n  24 [size=\"66244608\", alpha=\"0.14\", expect_size=\"33122304\"] \n  24 -> 29 [size =\"33122304\"]\n  24 -> 32 [size =\"33122304\"]\n  25 [size=\"97794048\", alpha=\"0.16\", expect_size=\"48897024\"] \n  26 [size=\"70549504\", alpha=\"0.00\", expect_size=\"35274752\"] \n  27 [size=\"45197312\", alpha=\"0.05\", expect_size=\"22598656\"] \n  28 [size=\"45086720\", alpha=\"0.08\", expect_size=\"22543360\"] \n  29 [size=\"47290368\", alpha=\"0.16\", expect_size=\"23645184\"] \n  30 [size=\"30830592\", alpha=\"0.09\", expect_size=\"15415296\"] \n  31 [size=\"68802560\", alpha=\"0.12\", expect_size=\"34401280\"] \n  32 [size=\"16461824\", alpha=\"0.08\", expect_size=\"8230912\"] \n  33 [size=\"96733184\", alpha=\"0.15\", expect_size=\"48366592\"] \n  34 [size=\"65206272\", alpha=\"0.01\", expect_size=\"32603136\"] \n  35 [size=\"37048320\", alpha=\"0.16\", expect_size=\"18524160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67399680\", alpha=\"0.00\", expect_size=\"33699840\"] \n  1 -> 14 [size =\"33699840\"]\n  1 -> 15 [size =\"33699840\"]\n  1 -> 16 [size =\"33699840\"]\n  1 -> 19 [size =\"33699840\"]\n  1 -> 20 [size =\"33699840\"]\n  2 [size=\"18042880\", alpha=\"0.11\", expect_size=\"9021440\"] \n  2 -> 14 [size =\"9021440\"]\n  2 -> 17 [size =\"9021440\"]\n  3 [size=\"17514496\", alpha=\"0.06\", expect_size=\"8757248\"] \n  3 -> 14 [size =\"8757248\"]\n  3 -> 15 [size =\"8757248\"]\n  3 -> 16 [size =\"8757248\"]\n  3 -> 17 [size =\"8757248\"]\n  3 -> 19 [size =\"8757248\"]\n  4 [size=\"12091392\", alpha=\"0.08\", expect_size=\"6045696\"] \n  4 -> 15 [size =\"6045696\"]\n  4 -> 15 [size =\"6045696\"]\n  4 -> 16 [size =\"6045696\"]\n  4 -> 18 [size =\"6045696\"]\n  4 -> 19 [size =\"6045696\"]\n  4 -> 20 [size =\"6045696\"]\n  4 -> 21 [size =\"6045696\"]\n  5 [size=\"53460992\", alpha=\"0.19\", expect_size=\"26730496\"] \n  5 -> 15 [size =\"26730496\"]\n  5 -> 18 [size =\"26730496\"]\n  5 -> 19 [size =\"26730496\"]\n  5 -> 21 [size =\"26730496\"]\n  6 [size=\"59926528\", alpha=\"0.19\", expect_size=\"29963264\"] \n  6 -> 12 [size =\"29963264\"]\n  6 -> 13 [size =\"29963264\"]\n  6 -> 15 [size =\"29963264\"]\n  6 -> 16 [size =\"29963264\"]\n  6 -> 17 [size =\"29963264\"]\n  6 -> 18 [size =\"29963264\"]\n  6 -> 19 [size =\"29963264\"]\n  6 -> 20 [size =\"29963264\"]\n  6 -> 21 [size =\"29963264\"]\n  7 [size=\"21045248\", alpha=\"0.09\", expect_size=\"10522624\"] \n  7 -> 15 [size =\"10522624\"]\n  7 -> 16 [size =\"10522624\"]\n  7 -> 18 [size =\"10522624\"]\n  7 -> 19 [size =\"10522624\"]\n  7 -> 20 [size =\"10522624\"]\n  7 -> 21 [size =\"10522624\"]\n  8 [size=\"93061120\", alpha=\"0.14\", expect_size=\"46530560\"] \n  8 -> 12 [size =\"46530560\"]\n  8 -> 15 [size =\"46530560\"]\n  8 -> 20 [size =\"46530560\"]\n  8 -> 21 [size =\"46530560\"]\n  9 [size=\"67090432\", alpha=\"0.13\", expect_size=\"33545216\"] \n  9 -> 17 [size =\"33545216\"]\n  9 -> 21 [size =\"33545216\"]\n  10 [size=\"54386688\", alpha=\"0.18\", expect_size=\"27193344\"] \n  10 -> 15 [size =\"27193344\"]\n  10 -> 19 [size =\"27193344\"]\n  10 -> 20 [size =\"27193344\"]\n  10 -> 21 [size =\"27193344\"]\n  11 [size=\"45346816\", alpha=\"0.00\", expect_size=\"22673408\"] \n  11 -> 12 [size =\"22673408\"]\n  11 -> 13 [size =\"22673408\"]\n  11 -> 14 [size =\"22673408\"]\n  11 -> 15 [size =\"22673408\"]\n  11 -> 16 [size =\"22673408\"]\n  11 -> 19 [size =\"22673408\"]\n  11 -> 20 [size =\"22673408\"]\n  11 -> 21 [size =\"22673408\"]\n  12 [size=\"45484032\", alpha=\"0.14\", expect_size=\"22742016\"] \n  12 -> 22 [size =\"22742016\"]\n  12 -> 25 [size =\"22742016\"]\n  12 -> 26 [size =\"22742016\"]\n  12 -> 27 [size =\"22742016\"]\n  12 -> 28 [size =\"22742016\"]\n  12 -> 29 [size =\"22742016\"]\n  13 [size=\"95647744\", alpha=\"0.17\", expect_size=\"47823872\"] \n  13 -> 23 [size =\"47823872\"]\n  13 -> 25 [size =\"47823872\"]\n  13 -> 26 [size =\"47823872\"]\n  13 -> 30 [size =\"47823872\"]\n  13 -> 31 [size =\"47823872\"]\n  13 -> 34 [size =\"47823872\"]\n  14 [size=\"27557888\", alpha=\"0.17\", expect_size=\"13778944\"] \n  14 -> 22 [size =\"13778944\"]\n  14 -> 23 [size =\"13778944\"]\n  14 -> 24 [size =\"13778944\"]\n  14 -> 25 [size =\"13778944\"]\n  14 -> 26 [size =\"13778944\"]\n  14 -> 27 [size =\"13778944\"]\n  14 -> 28 [size =\"13778944\"]\n  14 -> 29 [size =\"13778944\"]\n  14 -> 30 [size =\"13778944\"]\n  14 -> 31 [size =\"13778944\"]\n  14 -> 33 [size =\"13778944\"]\n  14 -> 34 [size =\"13778944\"]\n  14 -> 35 [size =\"13778944\"]\n  15 [size=\"65196032\", alpha=\"0.02\", expect_size=\"32598016\"] \n  15 -> 23 [size =\"32598016\"]\n  15 -> 24 [size =\"32598016\"]\n  15 -> 24 [size =\"32598016\"]\n  15 -> 25 [size =\"32598016\"]\n  15 -> 26 [size =\"32598016\"]\n  15 -> 28 [size =\"32598016\"]\n  15 -> 29 [size =\"32598016\"]\n  15 -> 31 [size =\"32598016\"]\n  15 -> 34 [size =\"32598016\"]\n  15 -> 35 [size =\"32598016\"]\n  16 [size=\"59881472\", alpha=\"0.09\", expect_size=\"29940736\"] \n  16 -> 22 [size =\"29940736\"]\n  16 -> 23 [size =\"29940736\"]\n  16 -> 24 [size =\"29940736\"]\n  16 -> 25 [size =\"29940736\"]\n  16 -> 26 [size =\"29940736\"]\n  16 -> 27 [size =\"29940736\"]\n  16 -> 28 [size =\"29940736\"]\n  16 -> 29 [size =\"29940736\"]\n  16 -> 31 [size =\"29940736\"]\n  16 -> 32 [size =\"29940736\"]\n  16 -> 33 [size =\"29940736\"]\n  16 -> 34 [size =\"29940736\"]\n  16 -> 35 [size =\"29940736\"]\n  17 [size=\"57255936\", alpha=\"0.02\", expect_size=\"28627968\"] \n  17 -> 22 [size =\"28627968\"]\n  17 -> 23 [size =\"28627968\"]\n  17 -> 24 [size =\"28627968\"]\n  17 -> 27 [size =\"28627968\"]\n  17 -> 31 [size =\"28627968\"]\n  17 -> 32 [size =\"28627968\"]\n  17 -> 33 [size =\"28627968\"]\n  17 -> 35 [size =\"28627968\"]\n  18 [size=\"101689344\", alpha=\"0.12\", expect_size=\"50844672\"] \n  18 -> 23 [size =\"50844672\"]\n  18 -> 23 [size =\"50844672\"]\n  18 -> 25 [size =\"50844672\"]\n  18 -> 28 [size =\"50844672\"]\n  18 -> 31 [size =\"50844672\"]\n  18 -> 32 [size =\"50844672\"]\n  18 -> 35 [size =\"50844672\"]\n  18 -> 35 [size =\"50844672\"]\n  19 [size=\"73256960\", alpha=\"0.11\", expect_size=\"36628480\"] \n  19 -> 23 [size =\"36628480\"]\n  19 -> 24 [size =\"36628480\"]\n  19 -> 27 [size =\"36628480\"]\n  19 -> 28 [size =\"36628480\"]\n  19 -> 30 [size =\"36628480\"]\n  19 -> 31 [size =\"36628480\"]\n  19 -> 32 [size =\"36628480\"]\n  19 -> 35 [size =\"36628480\"]\n  20 [size=\"41003008\", alpha=\"0.00\", expect_size=\"20501504\"] \n  20 -> 27 [size =\"20501504\"]\n  20 -> 29 [size =\"20501504\"]\n  20 -> 30 [size =\"20501504\"]\n  20 -> 31 [size =\"20501504\"]\n  20 -> 32 [size =\"20501504\"]\n  20 -> 34 [size =\"20501504\"]\n  21 [size=\"31238144\", alpha=\"0.02\", expect_size=\"15619072\"] \n  21 -> 22 [size =\"15619072\"]\n  21 -> 23 [size =\"15619072\"]\n  21 -> 25 [size =\"15619072\"]\n  21 -> 27 [size =\"15619072\"]\n  21 -> 29 [size =\"15619072\"]\n  21 -> 30 [size =\"15619072\"]\n  21 -> 34 [size =\"15619072\"]\n  22 [size=\"31328256\", alpha=\"0.05\", expect_size=\"15664128\"] \n  23 [size=\"97826816\", alpha=\"0.09\", expect_size=\"48913408\"] \n  24 [size=\"85600256\", alpha=\"0.14\", expect_size=\"42800128\"] \n  25 [size=\"72175616\", alpha=\"0.08\", expect_size=\"36087808\"] \n  26 [size=\"81139712\", alpha=\"0.13\", expect_size=\"40569856\"] \n  27 [size=\"27785216\", alpha=\"0.19\", expect_size=\"13892608\"] \n  28 [size=\"37443584\", alpha=\"0.03\", expect_size=\"18721792\"] \n  29 [size=\"92033024\", alpha=\"0.19\", expect_size=\"46016512\"] \n  30 [size=\"50182144\", alpha=\"0.05\", expect_size=\"25091072\"] \n  31 [size=\"52371456\", alpha=\"0.18\", expect_size=\"26185728\"] \n  32 [size=\"61140992\", alpha=\"0.18\", expect_size=\"30570496\"] \n  33 [size=\"84051968\", alpha=\"0.16\", expect_size=\"42025984\"] \n  34 [size=\"33761280\", alpha=\"0.18\", expect_size=\"16880640\"] \n  35 [size=\"100620288\", alpha=\"0.12\", expect_size=\"50310144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63047680\", alpha=\"0.13\", expect_size=\"31523840\"] \n  1 -> 13 [size =\"31523840\"]\n  1 -> 14 [size =\"31523840\"]\n  1 -> 17 [size =\"31523840\"]\n  1 -> 23 [size =\"31523840\"]\n  2 [size=\"72355840\", alpha=\"0.09\", expect_size=\"36177920\"] \n  2 -> 13 [size =\"36177920\"]\n  2 -> 16 [size =\"36177920\"]\n  2 -> 18 [size =\"36177920\"]\n  2 -> 21 [size =\"36177920\"]\n  2 -> 26 [size =\"36177920\"]\n  3 [size=\"87840768\", alpha=\"0.15\", expect_size=\"43920384\"] \n  3 -> 14 [size =\"43920384\"]\n  3 -> 16 [size =\"43920384\"]\n  3 -> 18 [size =\"43920384\"]\n  3 -> 19 [size =\"43920384\"]\n  3 -> 21 [size =\"43920384\"]\n  3 -> 22 [size =\"43920384\"]\n  3 -> 23 [size =\"43920384\"]\n  3 -> 26 [size =\"43920384\"]\n  3 -> 27 [size =\"43920384\"]\n  3 -> 28 [size =\"43920384\"]\n  4 [size=\"77549568\", alpha=\"0.07\", expect_size=\"38774784\"] \n  4 -> 13 [size =\"38774784\"]\n  4 -> 19 [size =\"38774784\"]\n  4 -> 21 [size =\"38774784\"]\n  4 -> 22 [size =\"38774784\"]\n  5 [size=\"88088576\", alpha=\"0.15\", expect_size=\"44044288\"] \n  5 -> 15 [size =\"44044288\"]\n  5 -> 18 [size =\"44044288\"]\n  5 -> 22 [size =\"44044288\"]\n  5 -> 23 [size =\"44044288\"]\n  5 -> 27 [size =\"44044288\"]\n  5 -> 29 [size =\"44044288\"]\n  6 [size=\"18952192\", alpha=\"0.04\", expect_size=\"9476096\"] \n  6 -> 17 [size =\"9476096\"]\n  6 -> 21 [size =\"9476096\"]\n  6 -> 29 [size =\"9476096\"]\n  7 [size=\"58480640\", alpha=\"0.11\", expect_size=\"29240320\"] \n  7 -> 13 [size =\"29240320\"]\n  7 -> 16 [size =\"29240320\"]\n  7 -> 17 [size =\"29240320\"]\n  7 -> 26 [size =\"29240320\"]\n  7 -> 29 [size =\"29240320\"]\n  8 [size=\"61937664\", alpha=\"0.06\", expect_size=\"30968832\"] \n  8 -> 13 [size =\"30968832\"]\n  8 -> 21 [size =\"30968832\"]\n  8 -> 25 [size =\"30968832\"]\n  8 -> 26 [size =\"30968832\"]\n  8 -> 29 [size =\"30968832\"]\n  9 [size=\"73213952\", alpha=\"0.02\", expect_size=\"36606976\"] \n  9 -> 15 [size =\"36606976\"]\n  9 -> 18 [size =\"36606976\"]\n  9 -> 20 [size =\"36606976\"]\n  9 -> 23 [size =\"36606976\"]\n  9 -> 24 [size =\"36606976\"]\n  9 -> 28 [size =\"36606976\"]\n  10 [size=\"37668864\", alpha=\"0.01\", expect_size=\"18834432\"] \n  10 -> 17 [size =\"18834432\"]\n  10 -> 18 [size =\"18834432\"]\n  10 -> 22 [size =\"18834432\"]\n  10 -> 23 [size =\"18834432\"]\n  10 -> 24 [size =\"18834432\"]\n  11 [size=\"66713600\", alpha=\"0.09\", expect_size=\"33356800\"] \n  11 -> 14 [size =\"33356800\"]\n  11 -> 15 [size =\"33356800\"]\n  11 -> 16 [size =\"33356800\"]\n  11 -> 17 [size =\"33356800\"]\n  11 -> 24 [size =\"33356800\"]\n  11 -> 28 [size =\"33356800\"]\n  11 -> 29 [size =\"33356800\"]\n  12 [size=\"34512896\", alpha=\"0.01\", expect_size=\"17256448\"] \n  12 -> 14 [size =\"17256448\"]\n  12 -> 17 [size =\"17256448\"]\n  12 -> 21 [size =\"17256448\"]\n  12 -> 22 [size =\"17256448\"]\n  12 -> 24 [size =\"17256448\"]\n  13 [size=\"76216320\", alpha=\"0.14\", expect_size=\"38108160\"] \n  13 -> 31 [size =\"38108160\"]\n  13 -> 33 [size =\"38108160\"]\n  14 [size=\"53270528\", alpha=\"0.17\", expect_size=\"26635264\"] \n  14 -> 32 [size =\"26635264\"]\n  14 -> 33 [size =\"26635264\"]\n  14 -> 34 [size =\"26635264\"]\n  15 [size=\"87705600\", alpha=\"0.12\", expect_size=\"43852800\"] \n  15 -> 30 [size =\"43852800\"]\n  15 -> 32 [size =\"43852800\"]\n  15 -> 33 [size =\"43852800\"]\n  16 [size=\"61843456\", alpha=\"0.19\", expect_size=\"30921728\"] \n  16 -> 32 [size =\"30921728\"]\n  16 -> 34 [size =\"30921728\"]\n  17 [size=\"78501888\", alpha=\"0.14\", expect_size=\"39250944\"] \n  17 -> 34 [size =\"39250944\"]\n  17 -> 34 [size =\"39250944\"]\n  18 [size=\"37804032\", alpha=\"0.11\", expect_size=\"18902016\"] \n  18 -> 31 [size =\"18902016\"]\n  18 -> 32 [size =\"18902016\"]\n  19 [size=\"66988032\", alpha=\"0.06\", expect_size=\"33494016\"] \n  19 -> 30 [size =\"33494016\"]\n  19 -> 33 [size =\"33494016\"]\n  19 -> 34 [size =\"33494016\"]\n  19 -> 35 [size =\"33494016\"]\n  20 [size=\"74242048\", alpha=\"0.12\", expect_size=\"37121024\"] \n  20 -> 33 [size =\"37121024\"]\n  20 -> 35 [size =\"37121024\"]\n  21 [size=\"78901248\", alpha=\"0.09\", expect_size=\"39450624\"] \n  22 [size=\"26970112\", alpha=\"0.19\", expect_size=\"13485056\"] \n  22 -> 31 [size =\"13485056\"]\n  23 [size=\"29894656\", alpha=\"0.05\", expect_size=\"14947328\"] \n  23 -> 34 [size =\"14947328\"]\n  24 [size=\"97470464\", alpha=\"0.06\", expect_size=\"48735232\"] \n  24 -> 33 [size =\"48735232\"]\n  24 -> 34 [size =\"48735232\"]\n  25 [size=\"83091456\", alpha=\"0.03\", expect_size=\"41545728\"] \n  25 -> 30 [size =\"41545728\"]\n  25 -> 32 [size =\"41545728\"]\n  25 -> 33 [size =\"41545728\"]\n  26 [size=\"46880768\", alpha=\"0.01\", expect_size=\"23440384\"] \n  26 -> 30 [size =\"23440384\"]\n  26 -> 35 [size =\"23440384\"]\n  27 [size=\"39843840\", alpha=\"0.10\", expect_size=\"19921920\"] \n  27 -> 34 [size =\"19921920\"]\n  28 [size=\"104228864\", alpha=\"0.10\", expect_size=\"52114432\"] \n  28 -> 30 [size =\"52114432\"]\n  29 [size=\"63942656\", alpha=\"0.03\", expect_size=\"31971328\"] \n  29 -> 31 [size =\"31971328\"]\n  29 -> 34 [size =\"31971328\"]\n  30 [size=\"92354560\", alpha=\"0.02\", expect_size=\"46177280\"] \n  31 [size=\"53397504\", alpha=\"0.13\", expect_size=\"26698752\"] \n  32 [size=\"94013440\", alpha=\"0.09\", expect_size=\"47006720\"] \n  33 [size=\"87324672\", alpha=\"0.19\", expect_size=\"43662336\"] \n  34 [size=\"16316416\", alpha=\"0.18\", expect_size=\"8158208\"] \n  35 [size=\"42424320\", alpha=\"0.13\", expect_size=\"21212160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132058453\", alpha=\"0.06\", expect_size=\"39617536\"] \n  1 -> 18 [size =\"39617536\"]\n  1 -> 19 [size =\"39617536\"]\n  1 -> 23 [size =\"39617536\"]\n  1 -> 27 [size =\"39617536\"]\n  1 -> 28 [size =\"39617536\"]\n  2 [size=\"122910720\", alpha=\"0.17\", expect_size=\"36873216\"] \n  2 -> 16 [size =\"36873216\"]\n  2 -> 28 [size =\"36873216\"]\n  2 -> 29 [size =\"36873216\"]\n  3 [size=\"30733653\", alpha=\"0.13\", expect_size=\"9220096\"] \n  3 -> 16 [size =\"9220096\"]\n  3 -> 23 [size =\"9220096\"]\n  3 -> 25 [size =\"9220096\"]\n  3 -> 27 [size =\"9220096\"]\n  3 -> 28 [size =\"9220096\"]\n  3 -> 29 [size =\"9220096\"]\n  4 [size=\"38362453\", alpha=\"0.17\", expect_size=\"11508736\"] \n  4 -> 19 [size =\"11508736\"]\n  4 -> 21 [size =\"11508736\"]\n  4 -> 22 [size =\"11508736\"]\n  4 -> 23 [size =\"11508736\"]\n  4 -> 24 [size =\"11508736\"]\n  4 -> 25 [size =\"11508736\"]\n  5 [size=\"17643520\", alpha=\"0.16\", expect_size=\"5293056\"] \n  5 -> 16 [size =\"5293056\"]\n  5 -> 21 [size =\"5293056\"]\n  5 -> 22 [size =\"5293056\"]\n  5 -> 23 [size =\"5293056\"]\n  6 [size=\"62146560\", alpha=\"0.13\", expect_size=\"18643968\"] \n  6 -> 16 [size =\"18643968\"]\n  6 -> 19 [size =\"18643968\"]\n  6 -> 22 [size =\"18643968\"]\n  6 -> 23 [size =\"18643968\"]\n  6 -> 27 [size =\"18643968\"]\n  7 [size=\"81169067\", alpha=\"0.11\", expect_size=\"24350720\"] \n  7 -> 16 [size =\"24350720\"]\n  7 -> 18 [size =\"24350720\"]\n  7 -> 22 [size =\"24350720\"]\n  7 -> 23 [size =\"24350720\"]\n  7 -> 27 [size =\"24350720\"]\n  7 -> 28 [size =\"24350720\"]\n  7 -> 29 [size =\"24350720\"]\n  8 [size=\"58231467\", alpha=\"0.19\", expect_size=\"17469440\"] \n  8 -> 16 [size =\"17469440\"]\n  8 -> 18 [size =\"17469440\"]\n  8 -> 19 [size =\"17469440\"]\n  8 -> 20 [size =\"17469440\"]\n  8 -> 27 [size =\"17469440\"]\n  9 [size=\"48343040\", alpha=\"0.20\", expect_size=\"14502912\"] \n  9 -> 16 [size =\"14502912\"]\n  9 -> 17 [size =\"14502912\"]\n  9 -> 18 [size =\"14502912\"]\n  9 -> 25 [size =\"14502912\"]\n  9 -> 28 [size =\"14502912\"]\n  10 [size=\"21442560\", alpha=\"0.01\", expect_size=\"6432768\"] \n  10 -> 17 [size =\"6432768\"]\n  10 -> 17 [size =\"6432768\"]\n  10 -> 22 [size =\"6432768\"]\n  10 -> 23 [size =\"6432768\"]\n  10 -> 24 [size =\"6432768\"]\n  10 -> 25 [size =\"6432768\"]\n  10 -> 26 [size =\"6432768\"]\n  10 -> 27 [size =\"6432768\"]\n  10 -> 28 [size =\"6432768\"]\n  11 [size=\"120995840\", alpha=\"0.08\", expect_size=\"36298752\"] \n  11 -> 17 [size =\"36298752\"]\n  11 -> 21 [size =\"36298752\"]\n  11 -> 22 [size =\"36298752\"]\n  12 [size=\"167000747\", alpha=\"0.20\", expect_size=\"50100224\"] \n  12 -> 16 [size =\"50100224\"]\n  12 -> 17 [size =\"50100224\"]\n  12 -> 18 [size =\"50100224\"]\n  12 -> 22 [size =\"50100224\"]\n  12 -> 23 [size =\"50100224\"]\n  12 -> 24 [size =\"50100224\"]\n  12 -> 25 [size =\"50100224\"]\n  12 -> 28 [size =\"50100224\"]\n  12 -> 29 [size =\"50100224\"]\n  13 [size=\"142991360\", alpha=\"0.16\", expect_size=\"42897408\"] \n  13 -> 22 [size =\"42897408\"]\n  13 -> 25 [size =\"42897408\"]\n  13 -> 27 [size =\"42897408\"]\n  14 [size=\"86104747\", alpha=\"0.00\", expect_size=\"25831424\"] \n  14 -> 16 [size =\"25831424\"]\n  14 -> 25 [size =\"25831424\"]\n  14 -> 26 [size =\"25831424\"]\n  15 [size=\"59156480\", alpha=\"0.02\", expect_size=\"17746944\"] \n  15 -> 18 [size =\"17746944\"]\n  15 -> 19 [size =\"17746944\"]\n  15 -> 21 [size =\"17746944\"]\n  15 -> 24 [size =\"17746944\"]\n  15 -> 25 [size =\"17746944\"]\n  15 -> 27 [size =\"17746944\"]\n  16 [size=\"25797973\", alpha=\"0.17\", expect_size=\"7739392\"] \n  16 -> 35 [size =\"7739392\"]\n  17 [size=\"127470933\", alpha=\"0.14\", expect_size=\"38241280\"] \n  17 -> 30 [size =\"38241280\"]\n  17 -> 31 [size =\"38241280\"]\n  18 [size=\"59610453\", alpha=\"0.04\", expect_size=\"17883136\"] \n  18 -> 30 [size =\"17883136\"]\n  19 [size=\"52834987\", alpha=\"0.08\", expect_size=\"15850496\"] \n  19 -> 33 [size =\"15850496\"]\n  19 -> 34 [size =\"15850496\"]\n  20 [size=\"49978027\", alpha=\"0.15\", expect_size=\"14993408\"] \n  20 -> 30 [size =\"14993408\"]\n  20 -> 31 [size =\"14993408\"]\n  20 -> 33 [size =\"14993408\"]\n  20 -> 34 [size =\"14993408\"]\n  21 [size=\"61303467\", alpha=\"0.17\", expect_size=\"18391040\"] \n  21 -> 30 [size =\"18391040\"]\n  21 -> 32 [size =\"18391040\"]\n  21 -> 33 [size =\"18391040\"]\n  21 -> 34 [size =\"18391040\"]\n  22 [size=\"124825600\", alpha=\"0.12\", expect_size=\"37447680\"] \n  22 -> 30 [size =\"37447680\"]\n  22 -> 33 [size =\"37447680\"]\n  22 -> 34 [size =\"37447680\"]\n  22 -> 34 [size =\"37447680\"]\n  23 [size=\"121238187\", alpha=\"0.09\", expect_size=\"36371456\"] \n  23 -> 30 [size =\"36371456\"]\n  24 [size=\"90927787\", alpha=\"0.08\", expect_size=\"27278336\"] \n  24 -> 30 [size =\"27278336\"]\n  24 -> 31 [size =\"27278336\"]\n  24 -> 33 [size =\"27278336\"]\n  25 [size=\"92654933\", alpha=\"0.08\", expect_size=\"27796480\"] \n  25 -> 31 [size =\"27796480\"]\n  25 -> 34 [size =\"27796480\"]\n  26 [size=\"109428053\", alpha=\"0.13\", expect_size=\"32828416\"] \n  26 -> 32 [size =\"32828416\"]\n  26 -> 33 [size =\"32828416\"]\n  26 -> 34 [size =\"32828416\"]\n  27 [size=\"84736000\", alpha=\"0.06\", expect_size=\"25420800\"] \n  28 [size=\"40744960\", alpha=\"0.04\", expect_size=\"12223488\"] \n  29 [size=\"69461333\", alpha=\"0.07\", expect_size=\"20838400\"] \n  29 -> 31 [size =\"20838400\"]\n  29 -> 32 [size =\"20838400\"]\n  29 -> 33 [size =\"20838400\"]\n  30 [size=\"132887893\", alpha=\"0.10\", expect_size=\"39866368\"] \n  31 [size=\"94989653\", alpha=\"0.06\", expect_size=\"28496896\"] \n  32 [size=\"70348800\", alpha=\"0.01\", expect_size=\"21104640\"] \n  33 [size=\"164399787\", alpha=\"0.12\", expect_size=\"49319936\"] \n  34 [size=\"75827200\", alpha=\"0.11\", expect_size=\"22748160\"] \n  35 [size=\"140096853\", alpha=\"0.16\", expect_size=\"42029056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121272320\", alpha=\"0.05\", expect_size=\"48508928\"] \n  1 -> 26 [size =\"48508928\"]\n  1 -> 28 [size =\"48508928\"]\n  1 -> 29 [size =\"48508928\"]\n  1 -> 31 [size =\"48508928\"]\n  1 -> 34 [size =\"48508928\"]\n  2 [size=\"25487360\", alpha=\"0.14\", expect_size=\"10194944\"] \n  2 -> 26 [size =\"10194944\"]\n  2 -> 29 [size =\"10194944\"]\n  2 -> 30 [size =\"10194944\"]\n  2 -> 31 [size =\"10194944\"]\n  2 -> 32 [size =\"10194944\"]\n  2 -> 34 [size =\"10194944\"]\n  3 [size=\"78952960\", alpha=\"0.14\", expect_size=\"31581184\"] \n  3 -> 26 [size =\"31581184\"]\n  3 -> 29 [size =\"31581184\"]\n  3 -> 31 [size =\"31581184\"]\n  3 -> 31 [size =\"31581184\"]\n  3 -> 32 [size =\"31581184\"]\n  3 -> 33 [size =\"31581184\"]\n  3 -> 34 [size =\"31581184\"]\n  4 [size=\"82337280\", alpha=\"0.15\", expect_size=\"32934912\"] \n  4 -> 26 [size =\"32934912\"]\n  4 -> 27 [size =\"32934912\"]\n  4 -> 29 [size =\"32934912\"]\n  4 -> 31 [size =\"32934912\"]\n  4 -> 32 [size =\"32934912\"]\n  4 -> 33 [size =\"32934912\"]\n  4 -> 34 [size =\"32934912\"]\n  5 [size=\"114012160\", alpha=\"0.03\", expect_size=\"45604864\"] \n  5 -> 26 [size =\"45604864\"]\n  5 -> 29 [size =\"45604864\"]\n  5 -> 29 [size =\"45604864\"]\n  5 -> 30 [size =\"45604864\"]\n  5 -> 31 [size =\"45604864\"]\n  5 -> 33 [size =\"45604864\"]\n  5 -> 34 [size =\"45604864\"]\n  6 [size=\"44134400\", alpha=\"0.13\", expect_size=\"17653760\"] \n  6 -> 26 [size =\"17653760\"]\n  6 -> 28 [size =\"17653760\"]\n  6 -> 29 [size =\"17653760\"]\n  6 -> 30 [size =\"17653760\"]\n  6 -> 31 [size =\"17653760\"]\n  6 -> 32 [size =\"17653760\"]\n  6 -> 33 [size =\"17653760\"]\n  6 -> 34 [size =\"17653760\"]\n  7 [size=\"52180480\", alpha=\"0.13\", expect_size=\"20872192\"] \n  7 -> 27 [size =\"20872192\"]\n  7 -> 28 [size =\"20872192\"]\n  7 -> 29 [size =\"20872192\"]\n  7 -> 30 [size =\"20872192\"]\n  7 -> 31 [size =\"20872192\"]\n  7 -> 32 [size =\"20872192\"]\n  7 -> 33 [size =\"20872192\"]\n  7 -> 34 [size =\"20872192\"]\n  8 [size=\"51174400\", alpha=\"0.07\", expect_size=\"20469760\"] \n  8 -> 28 [size =\"20469760\"]\n  8 -> 30 [size =\"20469760\"]\n  8 -> 31 [size =\"20469760\"]\n  8 -> 32 [size =\"20469760\"]\n  8 -> 33 [size =\"20469760\"]\n  8 -> 34 [size =\"20469760\"]\n  9 [size=\"41715200\", alpha=\"0.09\", expect_size=\"16686080\"] \n  9 -> 28 [size =\"16686080\"]\n  9 -> 29 [size =\"16686080\"]\n  9 -> 30 [size =\"16686080\"]\n  9 -> 33 [size =\"16686080\"]\n  9 -> 33 [size =\"16686080\"]\n  10 [size=\"98119680\", alpha=\"0.04\", expect_size=\"39247872\"] \n  10 -> 30 [size =\"39247872\"]\n  10 -> 32 [size =\"39247872\"]\n  10 -> 33 [size =\"39247872\"]\n  10 -> 33 [size =\"39247872\"]\n  10 -> 34 [size =\"39247872\"]\n  10 -> 35 [size =\"39247872\"]\n  11 [size=\"15720960\", alpha=\"0.08\", expect_size=\"6288384\"] \n  11 -> 29 [size =\"6288384\"]\n  11 -> 30 [size =\"6288384\"]\n  11 -> 32 [size =\"6288384\"]\n  11 -> 33 [size =\"6288384\"]\n  11 -> 35 [size =\"6288384\"]\n  12 [size=\"47777280\", alpha=\"0.06\", expect_size=\"19110912\"] \n  12 -> 26 [size =\"19110912\"]\n  12 -> 29 [size =\"19110912\"]\n  12 -> 30 [size =\"19110912\"]\n  12 -> 31 [size =\"19110912\"]\n  12 -> 32 [size =\"19110912\"]\n  12 -> 33 [size =\"19110912\"]\n  12 -> 34 [size =\"19110912\"]\n  12 -> 35 [size =\"19110912\"]\n  13 [size=\"127447040\", alpha=\"0.16\", expect_size=\"50978816\"] \n  13 -> 26 [size =\"50978816\"]\n  13 -> 29 [size =\"50978816\"]\n  13 -> 30 [size =\"50978816\"]\n  13 -> 32 [size =\"50978816\"]\n  13 -> 32 [size =\"50978816\"]\n  13 -> 33 [size =\"50978816\"]\n  13 -> 34 [size =\"50978816\"]\n  13 -> 35 [size =\"50978816\"]\n  14 [size=\"93096960\", alpha=\"0.16\", expect_size=\"37238784\"] \n  14 -> 26 [size =\"37238784\"]\n  14 -> 29 [size =\"37238784\"]\n  14 -> 30 [size =\"37238784\"]\n  14 -> 31 [size =\"37238784\"]\n  14 -> 33 [size =\"37238784\"]\n  14 -> 34 [size =\"37238784\"]\n  14 -> 35 [size =\"37238784\"]\n  14 -> 35 [size =\"37238784\"]\n  15 [size=\"62538240\", alpha=\"0.11\", expect_size=\"25015296\"] \n  15 -> 26 [size =\"25015296\"]\n  15 -> 29 [size =\"25015296\"]\n  15 -> 30 [size =\"25015296\"]\n  15 -> 32 [size =\"25015296\"]\n  15 -> 33 [size =\"25015296\"]\n  15 -> 35 [size =\"25015296\"]\n  15 -> 35 [size =\"25015296\"]\n  16 [size=\"78927360\", alpha=\"0.11\", expect_size=\"31570944\"] \n  16 -> 26 [size =\"31570944\"]\n  16 -> 29 [size =\"31570944\"]\n  16 -> 30 [size =\"31570944\"]\n  16 -> 32 [size =\"31570944\"]\n  16 -> 35 [size =\"31570944\"]\n  16 -> 35 [size =\"31570944\"]\n  17 [size=\"36618240\", alpha=\"0.03\", expect_size=\"14647296\"] \n  17 -> 26 [size =\"14647296\"]\n  17 -> 30 [size =\"14647296\"]\n  17 -> 31 [size =\"14647296\"]\n  17 -> 32 [size =\"14647296\"]\n  18 [size=\"115991040\", alpha=\"0.04\", expect_size=\"46396416\"] \n  18 -> 26 [size =\"46396416\"]\n  18 -> 28 [size =\"46396416\"]\n  18 -> 29 [size =\"46396416\"]\n  18 -> 30 [size =\"46396416\"]\n  18 -> 31 [size =\"46396416\"]\n  18 -> 32 [size =\"46396416\"]\n  18 -> 34 [size =\"46396416\"]\n  18 -> 35 [size =\"46396416\"]\n  19 [size=\"40739840\", alpha=\"0.15\", expect_size=\"16295936\"] \n  19 -> 26 [size =\"16295936\"]\n  19 -> 29 [size =\"16295936\"]\n  19 -> 30 [size =\"16295936\"]\n  19 -> 31 [size =\"16295936\"]\n  19 -> 31 [size =\"16295936\"]\n  19 -> 32 [size =\"16295936\"]\n  19 -> 33 [size =\"16295936\"]\n  19 -> 34 [size =\"16295936\"]\n  19 -> 35 [size =\"16295936\"]\n  20 [size=\"91269120\", alpha=\"0.16\", expect_size=\"36507648\"] \n  20 -> 26 [size =\"36507648\"]\n  20 -> 29 [size =\"36507648\"]\n  20 -> 31 [size =\"36507648\"]\n  20 -> 31 [size =\"36507648\"]\n  20 -> 33 [size =\"36507648\"]\n  20 -> 34 [size =\"36507648\"]\n  20 -> 35 [size =\"36507648\"]\n  21 [size=\"115635200\", alpha=\"0.15\", expect_size=\"46254080\"] \n  21 -> 26 [size =\"46254080\"]\n  21 -> 29 [size =\"46254080\"]\n  21 -> 30 [size =\"46254080\"]\n  21 -> 31 [size =\"46254080\"]\n  21 -> 34 [size =\"46254080\"]\n  21 -> 34 [size =\"46254080\"]\n  22 [size=\"45767680\", alpha=\"0.17\", expect_size=\"18307072\"] \n  22 -> 26 [size =\"18307072\"]\n  22 -> 29 [size =\"18307072\"]\n  22 -> 30 [size =\"18307072\"]\n  22 -> 31 [size =\"18307072\"]\n  22 -> 34 [size =\"18307072\"]\n  23 [size=\"79994880\", alpha=\"0.09\", expect_size=\"31997952\"] \n  23 -> 26 [size =\"31997952\"]\n  23 -> 30 [size =\"31997952\"]\n  23 -> 31 [size =\"31997952\"]\n  23 -> 31 [size =\"31997952\"]\n  23 -> 33 [size =\"31997952\"]\n  23 -> 34 [size =\"31997952\"]\n  23 -> 35 [size =\"31997952\"]\n  24 [size=\"54627840\", alpha=\"0.13\", expect_size=\"21851136\"] \n  24 -> 29 [size =\"21851136\"]\n  24 -> 30 [size =\"21851136\"]\n  24 -> 31 [size =\"21851136\"]\n  24 -> 32 [size =\"21851136\"]\n  24 -> 33 [size =\"21851136\"]\n  24 -> 34 [size =\"21851136\"]\n  25 [size=\"31651840\", alpha=\"0.14\", expect_size=\"12660736\"] \n  25 -> 27 [size =\"12660736\"]\n  25 -> 30 [size =\"12660736\"]\n  25 -> 31 [size =\"12660736\"]\n  25 -> 33 [size =\"12660736\"]\n  25 -> 34 [size =\"12660736\"]\n  26 [size=\"97154560\", alpha=\"0.01\", expect_size=\"38861824\"] \n  27 [size=\"43087360\", alpha=\"0.14\", expect_size=\"17234944\"] \n  28 [size=\"63267840\", alpha=\"0.14\", expect_size=\"25307136\"] \n  29 [size=\"85713920\", alpha=\"0.18\", expect_size=\"34285568\"] \n  30 [size=\"57830400\", alpha=\"0.17\", expect_size=\"23132160\"] \n  31 [size=\"34798080\", alpha=\"0.16\", expect_size=\"13919232\"] \n  32 [size=\"124779520\", alpha=\"0.02\", expect_size=\"49911808\"] \n  33 [size=\"104227840\", alpha=\"0.06\", expect_size=\"41691136\"] \n  34 [size=\"38988800\", alpha=\"0.04\", expect_size=\"15595520\"] \n  35 [size=\"116259840\", alpha=\"0.11\", expect_size=\"46503936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112524800\", alpha=\"0.01\", expect_size=\"45009920\"] \n  1 -> 17 [size =\"45009920\"]\n  1 -> 19 [size =\"45009920\"]\n  1 -> 20 [size =\"45009920\"]\n  2 [size=\"25633280\", alpha=\"0.13\", expect_size=\"10253312\"] \n  2 -> 19 [size =\"10253312\"]\n  2 -> 20 [size =\"10253312\"]\n  2 -> 23 [size =\"10253312\"]\n  2 -> 24 [size =\"10253312\"]\n  3 [size=\"91704320\", alpha=\"0.18\", expect_size=\"36681728\"] \n  3 -> 16 [size =\"36681728\"]\n  3 -> 19 [size =\"36681728\"]\n  3 -> 24 [size =\"36681728\"]\n  4 [size=\"110479360\", alpha=\"0.17\", expect_size=\"44191744\"] \n  5 [size=\"33441280\", alpha=\"0.16\", expect_size=\"13376512\"] \n  5 -> 22 [size =\"13376512\"]\n  5 -> 24 [size =\"13376512\"]\n  6 [size=\"116515840\", alpha=\"0.20\", expect_size=\"46606336\"] \n  6 -> 24 [size =\"46606336\"]\n  7 [size=\"100679680\", alpha=\"0.01\", expect_size=\"40271872\"] \n  7 -> 18 [size =\"40271872\"]\n  7 -> 23 [size =\"40271872\"]\n  7 -> 24 [size =\"40271872\"]\n  8 [size=\"129157120\", alpha=\"0.13\", expect_size=\"51662848\"] \n  8 -> 16 [size =\"51662848\"]\n  8 -> 20 [size =\"51662848\"]\n  9 [size=\"127613440\", alpha=\"0.07\", expect_size=\"51045376\"] \n  9 -> 16 [size =\"51045376\"]\n  9 -> 19 [size =\"51045376\"]\n  9 -> 20 [size =\"51045376\"]\n  9 -> 23 [size =\"51045376\"]\n  10 [size=\"105180160\", alpha=\"0.10\", expect_size=\"42072064\"] \n  10 -> 16 [size =\"42072064\"]\n  10 -> 17 [size =\"42072064\"]\n  10 -> 19 [size =\"42072064\"]\n  11 [size=\"48952320\", alpha=\"0.02\", expect_size=\"19580928\"] \n  11 -> 19 [size =\"19580928\"]\n  11 -> 20 [size =\"19580928\"]\n  12 [size=\"54597120\", alpha=\"0.18\", expect_size=\"21838848\"] \n  12 -> 20 [size =\"21838848\"]\n  12 -> 23 [size =\"21838848\"]\n  13 [size=\"15736320\", alpha=\"0.02\", expect_size=\"6294528\"] \n  13 -> 16 [size =\"6294528\"]\n  13 -> 19 [size =\"6294528\"]\n  13 -> 20 [size =\"6294528\"]\n  13 -> 21 [size =\"6294528\"]\n  13 -> 23 [size =\"6294528\"]\n  14 [size=\"123353600\", alpha=\"0.19\", expect_size=\"49341440\"] \n  14 -> 16 [size =\"49341440\"]\n  14 -> 17 [size =\"49341440\"]\n  14 -> 20 [size =\"49341440\"]\n  14 -> 23 [size =\"49341440\"]\n  14 -> 24 [size =\"49341440\"]\n  15 [size=\"104524800\", alpha=\"0.19\", expect_size=\"41809920\"] \n  15 -> 17 [size =\"41809920\"]\n  15 -> 20 [size =\"41809920\"]\n  16 [size=\"80174080\", alpha=\"0.09\", expect_size=\"32069632\"] \n  16 -> 26 [size =\"32069632\"]\n  16 -> 32 [size =\"32069632\"]\n  17 [size=\"77603840\", alpha=\"0.00\", expect_size=\"31041536\"] \n  17 -> 30 [size =\"31041536\"]\n  17 -> 33 [size =\"31041536\"]\n  17 -> 35 [size =\"31041536\"]\n  18 [size=\"85562880\", alpha=\"0.17\", expect_size=\"34225152\"] \n  18 -> 28 [size =\"34225152\"]\n  18 -> 33 [size =\"34225152\"]\n  19 [size=\"46031360\", alpha=\"0.09\", expect_size=\"18412544\"] \n  19 -> 27 [size =\"18412544\"]\n  20 [size=\"87503360\", alpha=\"0.01\", expect_size=\"35001344\"] \n  20 -> 30 [size =\"35001344\"]\n  20 -> 33 [size =\"35001344\"]\n  20 -> 34 [size =\"35001344\"]\n  21 [size=\"26122240\", alpha=\"0.11\", expect_size=\"10448896\"] \n  21 -> 25 [size =\"10448896\"]\n  21 -> 26 [size =\"10448896\"]\n  21 -> 27 [size =\"10448896\"]\n  21 -> 30 [size =\"10448896\"]\n  21 -> 33 [size =\"10448896\"]\n  21 -> 35 [size =\"10448896\"]\n  22 [size=\"40279040\", alpha=\"0.02\", expect_size=\"16111616\"] \n  22 -> 25 [size =\"16111616\"]\n  22 -> 26 [size =\"16111616\"]\n  22 -> 33 [size =\"16111616\"]\n  23 [size=\"26846720\", alpha=\"0.06\", expect_size=\"10738688\"] \n  23 -> 27 [size =\"10738688\"]\n  23 -> 30 [size =\"10738688\"]\n  23 -> 32 [size =\"10738688\"]\n  23 -> 33 [size =\"10738688\"]\n  23 -> 34 [size =\"10738688\"]\n  24 [size=\"40389120\", alpha=\"0.07\", expect_size=\"16155648\"] \n  24 -> 27 [size =\"16155648\"]\n  24 -> 29 [size =\"16155648\"]\n  24 -> 31 [size =\"16155648\"]\n  24 -> 32 [size =\"16155648\"]\n  25 [size=\"35727360\", alpha=\"0.12\", expect_size=\"14290944\"] \n  26 [size=\"31503360\", alpha=\"0.14\", expect_size=\"12601344\"] \n  27 [size=\"82378240\", alpha=\"0.11\", expect_size=\"32951296\"] \n  28 [size=\"83845120\", alpha=\"0.08\", expect_size=\"33538048\"] \n  29 [size=\"64568320\", alpha=\"0.04\", expect_size=\"25827328\"] \n  30 [size=\"118174720\", alpha=\"0.15\", expect_size=\"47269888\"] \n  31 [size=\"126243840\", alpha=\"0.13\", expect_size=\"50497536\"] \n  32 [size=\"70228480\", alpha=\"0.18\", expect_size=\"28091392\"] \n  33 [size=\"80622080\", alpha=\"0.03\", expect_size=\"32248832\"] \n  34 [size=\"118056960\", alpha=\"0.07\", expect_size=\"47222784\"] \n  35 [size=\"43978240\", alpha=\"0.06\", expect_size=\"17591296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87444480\", alpha=\"0.10\", expect_size=\"34977792\"] \n  1 -> 26 [size =\"34977792\"]\n  1 -> 27 [size =\"34977792\"]\n  1 -> 29 [size =\"34977792\"]\n  1 -> 30 [size =\"34977792\"]\n  1 -> 32 [size =\"34977792\"]\n  1 -> 33 [size =\"34977792\"]\n  1 -> 35 [size =\"34977792\"]\n  2 [size=\"71052800\", alpha=\"0.07\", expect_size=\"28421120\"] \n  2 -> 26 [size =\"28421120\"]\n  2 -> 27 [size =\"28421120\"]\n  2 -> 29 [size =\"28421120\"]\n  2 -> 30 [size =\"28421120\"]\n  2 -> 33 [size =\"28421120\"]\n  2 -> 35 [size =\"28421120\"]\n  3 [size=\"105530880\", alpha=\"0.15\", expect_size=\"42212352\"] \n  3 -> 27 [size =\"42212352\"]\n  3 -> 30 [size =\"42212352\"]\n  3 -> 32 [size =\"42212352\"]\n  3 -> 33 [size =\"42212352\"]\n  3 -> 33 [size =\"42212352\"]\n  3 -> 34 [size =\"42212352\"]\n  4 [size=\"41210880\", alpha=\"0.09\", expect_size=\"16484352\"] \n  4 -> 27 [size =\"16484352\"]\n  4 -> 28 [size =\"16484352\"]\n  4 -> 29 [size =\"16484352\"]\n  4 -> 30 [size =\"16484352\"]\n  4 -> 33 [size =\"16484352\"]\n  5 [size=\"110556160\", alpha=\"0.17\", expect_size=\"44222464\"] \n  5 -> 26 [size =\"44222464\"]\n  5 -> 27 [size =\"44222464\"]\n  5 -> 28 [size =\"44222464\"]\n  5 -> 29 [size =\"44222464\"]\n  5 -> 30 [size =\"44222464\"]\n  5 -> 35 [size =\"44222464\"]\n  6 [size=\"51440640\", alpha=\"0.16\", expect_size=\"20576256\"] \n  6 -> 27 [size =\"20576256\"]\n  6 -> 30 [size =\"20576256\"]\n  6 -> 33 [size =\"20576256\"]\n  6 -> 34 [size =\"20576256\"]\n  7 [size=\"27996160\", alpha=\"0.20\", expect_size=\"11198464\"] \n  7 -> 26 [size =\"11198464\"]\n  7 -> 27 [size =\"11198464\"]\n  7 -> 28 [size =\"11198464\"]\n  7 -> 30 [size =\"11198464\"]\n  7 -> 32 [size =\"11198464\"]\n  7 -> 34 [size =\"11198464\"]\n  8 [size=\"109076480\", alpha=\"0.06\", expect_size=\"43630592\"] \n  8 -> 26 [size =\"43630592\"]\n  8 -> 29 [size =\"43630592\"]\n  8 -> 30 [size =\"43630592\"]\n  8 -> 30 [size =\"43630592\"]\n  8 -> 32 [size =\"43630592\"]\n  8 -> 34 [size =\"43630592\"]\n  9 [size=\"82580480\", alpha=\"0.06\", expect_size=\"33032192\"] \n  9 -> 26 [size =\"33032192\"]\n  9 -> 27 [size =\"33032192\"]\n  9 -> 28 [size =\"33032192\"]\n  9 -> 32 [size =\"33032192\"]\n  9 -> 34 [size =\"33032192\"]\n  9 -> 35 [size =\"33032192\"]\n  10 [size=\"129262080\", alpha=\"0.01\", expect_size=\"51704832\"] \n  10 -> 26 [size =\"51704832\"]\n  10 -> 27 [size =\"51704832\"]\n  10 -> 35 [size =\"51704832\"]\n  11 [size=\"123993600\", alpha=\"0.00\", expect_size=\"49597440\"] \n  11 -> 26 [size =\"49597440\"]\n  11 -> 30 [size =\"49597440\"]\n  11 -> 32 [size =\"49597440\"]\n  11 -> 35 [size =\"49597440\"]\n  12 [size=\"66173440\", alpha=\"0.17\", expect_size=\"26469376\"] \n  12 -> 28 [size =\"26469376\"]\n  12 -> 29 [size =\"26469376\"]\n  12 -> 30 [size =\"26469376\"]\n  12 -> 33 [size =\"26469376\"]\n  12 -> 34 [size =\"26469376\"]\n  13 [size=\"108403200\", alpha=\"0.04\", expect_size=\"43361280\"] \n  13 -> 29 [size =\"43361280\"]\n  13 -> 29 [size =\"43361280\"]\n  13 -> 33 [size =\"43361280\"]\n  13 -> 35 [size =\"43361280\"]\n  14 [size=\"78906880\", alpha=\"0.16\", expect_size=\"31562752\"] \n  14 -> 26 [size =\"31562752\"]\n  14 -> 27 [size =\"31562752\"]\n  14 -> 33 [size =\"31562752\"]\n  14 -> 34 [size =\"31562752\"]\n  14 -> 35 [size =\"31562752\"]\n  15 [size=\"14289920\", alpha=\"0.18\", expect_size=\"5715968\"] \n  15 -> 26 [size =\"5715968\"]\n  15 -> 33 [size =\"5715968\"]\n  15 -> 34 [size =\"5715968\"]\n  16 [size=\"117009920\", alpha=\"0.04\", expect_size=\"46803968\"] \n  16 -> 27 [size =\"46803968\"]\n  16 -> 31 [size =\"46803968\"]\n  16 -> 34 [size =\"46803968\"]\n  17 [size=\"92902400\", alpha=\"0.11\", expect_size=\"37160960\"] \n  17 -> 26 [size =\"37160960\"]\n  17 -> 27 [size =\"37160960\"]\n  17 -> 28 [size =\"37160960\"]\n  17 -> 30 [size =\"37160960\"]\n  17 -> 31 [size =\"37160960\"]\n  17 -> 33 [size =\"37160960\"]\n  18 [size=\"92072960\", alpha=\"0.10\", expect_size=\"36829184\"] \n  18 -> 29 [size =\"36829184\"]\n  18 -> 33 [size =\"36829184\"]\n  19 [size=\"126346240\", alpha=\"0.07\", expect_size=\"50538496\"] \n  19 -> 27 [size =\"50538496\"]\n  19 -> 29 [size =\"50538496\"]\n  19 -> 31 [size =\"50538496\"]\n  19 -> 35 [size =\"50538496\"]\n  20 [size=\"45245440\", alpha=\"0.18\", expect_size=\"18098176\"] \n  20 -> 32 [size =\"18098176\"]\n  21 [size=\"48506880\", alpha=\"0.01\", expect_size=\"19402752\"] \n  21 -> 26 [size =\"19402752\"]\n  21 -> 30 [size =\"19402752\"]\n  21 -> 32 [size =\"19402752\"]\n  21 -> 33 [size =\"19402752\"]\n  21 -> 35 [size =\"19402752\"]\n  22 [size=\"50073600\", alpha=\"0.14\", expect_size=\"20029440\"] \n  22 -> 26 [size =\"20029440\"]\n  22 -> 30 [size =\"20029440\"]\n  22 -> 35 [size =\"20029440\"]\n  23 [size=\"31754240\", alpha=\"0.02\", expect_size=\"12701696\"] \n  23 -> 26 [size =\"12701696\"]\n  23 -> 27 [size =\"12701696\"]\n  23 -> 29 [size =\"12701696\"]\n  23 -> 30 [size =\"12701696\"]\n  24 [size=\"53468160\", alpha=\"0.16\", expect_size=\"21387264\"] \n  24 -> 26 [size =\"21387264\"]\n  24 -> 27 [size =\"21387264\"]\n  24 -> 29 [size =\"21387264\"]\n  24 -> 32 [size =\"21387264\"]\n  24 -> 33 [size =\"21387264\"]\n  24 -> 35 [size =\"21387264\"]\n  25 [size=\"31833600\", alpha=\"0.05\", expect_size=\"12733440\"] \n  25 -> 26 [size =\"12733440\"]\n  25 -> 27 [size =\"12733440\"]\n  25 -> 32 [size =\"12733440\"]\n  25 -> 33 [size =\"12733440\"]\n  25 -> 33 [size =\"12733440\"]\n  25 -> 34 [size =\"12733440\"]\n  25 -> 35 [size =\"12733440\"]\n  26 [size=\"21624320\", alpha=\"0.02\", expect_size=\"8649728\"] \n  27 [size=\"43174400\", alpha=\"0.01\", expect_size=\"17269760\"] \n  28 [size=\"106964480\", alpha=\"0.16\", expect_size=\"42785792\"] \n  29 [size=\"47057920\", alpha=\"0.03\", expect_size=\"18823168\"] \n  30 [size=\"89948160\", alpha=\"0.09\", expect_size=\"35979264\"] \n  31 [size=\"76651520\", alpha=\"0.15\", expect_size=\"30660608\"] \n  32 [size=\"81510400\", alpha=\"0.09\", expect_size=\"32604160\"] \n  33 [size=\"44505600\", alpha=\"0.20\", expect_size=\"17802240\"] \n  34 [size=\"58060800\", alpha=\"0.02\", expect_size=\"23224320\"] \n  35 [size=\"32317440\", alpha=\"0.04\", expect_size=\"12926976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79376384\", alpha=\"0.07\", expect_size=\"39688192\"] \n  1 -> 28 [size =\"39688192\"]\n  1 -> 30 [size =\"39688192\"]\n  1 -> 31 [size =\"39688192\"]\n  1 -> 31 [size =\"39688192\"]\n  1 -> 34 [size =\"39688192\"]\n  1 -> 35 [size =\"39688192\"]\n  1 -> 35 [size =\"39688192\"]\n  2 [size=\"97912832\", alpha=\"0.09\", expect_size=\"48956416\"] \n  2 -> 27 [size =\"48956416\"]\n  2 -> 30 [size =\"48956416\"]\n  2 -> 31 [size =\"48956416\"]\n  2 -> 32 [size =\"48956416\"]\n  2 -> 35 [size =\"48956416\"]\n  3 [size=\"94181376\", alpha=\"0.05\", expect_size=\"47090688\"] \n  3 -> 30 [size =\"47090688\"]\n  3 -> 31 [size =\"47090688\"]\n  3 -> 34 [size =\"47090688\"]\n  3 -> 35 [size =\"47090688\"]\n  4 [size=\"62683136\", alpha=\"0.01\", expect_size=\"31341568\"] \n  4 -> 26 [size =\"31341568\"]\n  4 -> 27 [size =\"31341568\"]\n  5 [size=\"38684672\", alpha=\"0.04\", expect_size=\"19342336\"] \n  5 -> 27 [size =\"19342336\"]\n  5 -> 27 [size =\"19342336\"]\n  5 -> 31 [size =\"19342336\"]\n  5 -> 32 [size =\"19342336\"]\n  5 -> 34 [size =\"19342336\"]\n  5 -> 35 [size =\"19342336\"]\n  6 [size=\"89868288\", alpha=\"0.12\", expect_size=\"44934144\"] \n  6 -> 27 [size =\"44934144\"]\n  6 -> 29 [size =\"44934144\"]\n  6 -> 32 [size =\"44934144\"]\n  6 -> 34 [size =\"44934144\"]\n  7 [size=\"81879040\", alpha=\"0.08\", expect_size=\"40939520\"] \n  7 -> 24 [size =\"40939520\"]\n  7 -> 27 [size =\"40939520\"]\n  7 -> 29 [size =\"40939520\"]\n  7 -> 31 [size =\"40939520\"]\n  7 -> 32 [size =\"40939520\"]\n  7 -> 34 [size =\"40939520\"]\n  8 [size=\"61337600\", alpha=\"0.15\", expect_size=\"30668800\"] \n  8 -> 24 [size =\"30668800\"]\n  8 -> 27 [size =\"30668800\"]\n  8 -> 30 [size =\"30668800\"]\n  8 -> 31 [size =\"30668800\"]\n  8 -> 32 [size =\"30668800\"]\n  8 -> 34 [size =\"30668800\"]\n  8 -> 35 [size =\"30668800\"]\n  9 [size=\"56594432\", alpha=\"0.10\", expect_size=\"28297216\"] \n  9 -> 24 [size =\"28297216\"]\n  9 -> 27 [size =\"28297216\"]\n  9 -> 29 [size =\"28297216\"]\n  9 -> 30 [size =\"28297216\"]\n  9 -> 31 [size =\"28297216\"]\n  9 -> 34 [size =\"28297216\"]\n  10 [size=\"66068480\", alpha=\"0.18\", expect_size=\"33034240\"] \n  10 -> 24 [size =\"33034240\"]\n  10 -> 27 [size =\"33034240\"]\n  10 -> 28 [size =\"33034240\"]\n  10 -> 29 [size =\"33034240\"]\n  10 -> 34 [size =\"33034240\"]\n  10 -> 34 [size =\"33034240\"]\n  11 [size=\"45062144\", alpha=\"0.11\", expect_size=\"22531072\"] \n  11 -> 27 [size =\"22531072\"]\n  11 -> 27 [size =\"22531072\"]\n  11 -> 29 [size =\"22531072\"]\n  11 -> 30 [size =\"22531072\"]\n  11 -> 31 [size =\"22531072\"]\n  11 -> 32 [size =\"22531072\"]\n  11 -> 35 [size =\"22531072\"]\n  12 [size=\"80267264\", alpha=\"0.11\", expect_size=\"40133632\"] \n  12 -> 27 [size =\"40133632\"]\n  12 -> 29 [size =\"40133632\"]\n  12 -> 30 [size =\"40133632\"]\n  12 -> 34 [size =\"40133632\"]\n  13 [size=\"27633664\", alpha=\"0.01\", expect_size=\"13816832\"] \n  13 -> 25 [size =\"13816832\"]\n  13 -> 29 [size =\"13816832\"]\n  13 -> 30 [size =\"13816832\"]\n  13 -> 31 [size =\"13816832\"]\n  13 -> 32 [size =\"13816832\"]\n  13 -> 34 [size =\"13816832\"]\n  13 -> 35 [size =\"13816832\"]\n  14 [size=\"52365312\", alpha=\"0.00\", expect_size=\"26182656\"] \n  14 -> 25 [size =\"26182656\"]\n  14 -> 30 [size =\"26182656\"]\n  14 -> 30 [size =\"26182656\"]\n  14 -> 34 [size =\"26182656\"]\n  14 -> 35 [size =\"26182656\"]\n  15 [size=\"56858624\", alpha=\"0.10\", expect_size=\"28429312\"] \n  15 -> 24 [size =\"28429312\"]\n  15 -> 27 [size =\"28429312\"]\n  15 -> 28 [size =\"28429312\"]\n  15 -> 30 [size =\"28429312\"]\n  15 -> 32 [size =\"28429312\"]\n  15 -> 34 [size =\"28429312\"]\n  15 -> 35 [size =\"28429312\"]\n  16 [size=\"78020608\", alpha=\"0.13\", expect_size=\"39010304\"] \n  16 -> 24 [size =\"39010304\"]\n  16 -> 30 [size =\"39010304\"]\n  16 -> 32 [size =\"39010304\"]\n  16 -> 34 [size =\"39010304\"]\n  16 -> 35 [size =\"39010304\"]\n  17 [size=\"40998912\", alpha=\"0.02\", expect_size=\"20499456\"] \n  17 -> 27 [size =\"20499456\"]\n  17 -> 30 [size =\"20499456\"]\n  17 -> 34 [size =\"20499456\"]\n  17 -> 35 [size =\"20499456\"]\n  18 [size=\"77297664\", alpha=\"0.20\", expect_size=\"38648832\"] \n  18 -> 27 [size =\"38648832\"]\n  18 -> 28 [size =\"38648832\"]\n  18 -> 29 [size =\"38648832\"]\n  18 -> 30 [size =\"38648832\"]\n  18 -> 35 [size =\"38648832\"]\n  19 [size=\"52041728\", alpha=\"0.05\", expect_size=\"26020864\"] \n  19 -> 27 [size =\"26020864\"]\n  19 -> 30 [size =\"26020864\"]\n  20 [size=\"97089536\", alpha=\"0.19\", expect_size=\"48544768\"] \n  20 -> 27 [size =\"48544768\"]\n  20 -> 30 [size =\"48544768\"]\n  20 -> 33 [size =\"48544768\"]\n  20 -> 34 [size =\"48544768\"]\n  20 -> 35 [size =\"48544768\"]\n  21 [size=\"88125440\", alpha=\"0.08\", expect_size=\"44062720\"] \n  21 -> 27 [size =\"44062720\"]\n  21 -> 28 [size =\"44062720\"]\n  21 -> 30 [size =\"44062720\"]\n  21 -> 32 [size =\"44062720\"]\n  21 -> 33 [size =\"44062720\"]\n  21 -> 34 [size =\"44062720\"]\n  21 -> 35 [size =\"44062720\"]\n  22 [size=\"43366400\", alpha=\"0.16\", expect_size=\"21683200\"] \n  22 -> 27 [size =\"21683200\"]\n  22 -> 29 [size =\"21683200\"]\n  22 -> 30 [size =\"21683200\"]\n  22 -> 31 [size =\"21683200\"]\n  22 -> 34 [size =\"21683200\"]\n  22 -> 34 [size =\"21683200\"]\n  23 [size=\"97435648\", alpha=\"0.01\", expect_size=\"48717824\"] \n  23 -> 27 [size =\"48717824\"]\n  23 -> 28 [size =\"48717824\"]\n  23 -> 30 [size =\"48717824\"]\n  23 -> 31 [size =\"48717824\"]\n  23 -> 32 [size =\"48717824\"]\n  23 -> 34 [size =\"48717824\"]\n  23 -> 35 [size =\"48717824\"]\n  24 [size=\"104427520\", alpha=\"0.18\", expect_size=\"52213760\"] \n  25 [size=\"104433664\", alpha=\"0.00\", expect_size=\"52216832\"] \n  26 [size=\"57733120\", alpha=\"0.20\", expect_size=\"28866560\"] \n  27 [size=\"24473600\", alpha=\"0.14\", expect_size=\"12236800\"] \n  28 [size=\"33742848\", alpha=\"0.19\", expect_size=\"16871424\"] \n  29 [size=\"32774144\", alpha=\"0.14\", expect_size=\"16387072\"] \n  30 [size=\"54409216\", alpha=\"0.01\", expect_size=\"27204608\"] \n  31 [size=\"50405376\", alpha=\"0.15\", expect_size=\"25202688\"] \n  32 [size=\"89653248\", alpha=\"0.04\", expect_size=\"44826624\"] \n  33 [size=\"70840320\", alpha=\"0.17\", expect_size=\"35420160\"] \n  34 [size=\"77660160\", alpha=\"0.18\", expect_size=\"38830080\"] \n  35 [size=\"67942400\", alpha=\"0.09\", expect_size=\"33971200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142376960\", alpha=\"0.04\", expect_size=\"42713088\"] \n  1 -> 2 [size =\"42713088\"]\n  1 -> 3 [size =\"42713088\"]\n  2 [size=\"162727253\", alpha=\"0.14\", expect_size=\"48818176\"] \n  2 -> 4 [size =\"48818176\"]\n  3 [size=\"133038080\", alpha=\"0.16\", expect_size=\"39911424\"] \n  3 -> 4 [size =\"39911424\"]\n  4 [size=\"71178240\", alpha=\"0.02\", expect_size=\"21353472\"] \n  4 -> 5 [size =\"21353472\"]\n  5 [size=\"31034027\", alpha=\"0.17\", expect_size=\"9310208\"] \n  5 -> 6 [size =\"9310208\"]\n  5 -> 7 [size =\"9310208\"]\n  6 [size=\"115432107\", alpha=\"0.01\", expect_size=\"34629632\"] \n  6 -> 8 [size =\"34629632\"]\n  6 -> 9 [size =\"34629632\"]\n  7 [size=\"160406187\", alpha=\"0.15\", expect_size=\"48121856\"] \n  7 -> 8 [size =\"48121856\"]\n  7 -> 9 [size =\"48121856\"]\n  8 [size=\"27805013\", alpha=\"0.14\", expect_size=\"8341504\"] \n  8 -> 11 [size =\"8341504\"]\n  9 [size=\"42622293\", alpha=\"0.15\", expect_size=\"12786688\"] \n  9 -> 10 [size =\"12786688\"]\n  10 [size=\"33075200\", alpha=\"0.16\", expect_size=\"9922560\"] \n  10 -> 13 [size =\"9922560\"]\n  11 [size=\"158842880\", alpha=\"0.03\", expect_size=\"47652864\"] \n  11 -> 12 [size =\"47652864\"]\n  12 [size=\"33324373\", alpha=\"0.06\", expect_size=\"9997312\"] \n  12 -> 14 [size =\"9997312\"]\n  13 [size=\"139554133\", alpha=\"0.16\", expect_size=\"41866240\"] \n  13 -> 14 [size =\"41866240\"]\n  14 [size=\"111578453\", alpha=\"0.12\", expect_size=\"33473536\"] \n  14 -> 15 [size =\"33473536\"]\n  15 [size=\"125091840\", alpha=\"0.06\", expect_size=\"37527552\"] \n  15 -> 16 [size =\"37527552\"]\n  16 [size=\"102850560\", alpha=\"0.20\", expect_size=\"30855168\"] \n  16 -> 17 [size =\"30855168\"]\n  17 [size=\"108093440\", alpha=\"0.01\", expect_size=\"32428032\"] \n  17 -> 18 [size =\"32428032\"]\n  17 -> 19 [size =\"32428032\"]\n  18 [size=\"71461547\", alpha=\"0.19\", expect_size=\"21438464\"] \n  19 [size=\"23927467\", alpha=\"0.14\", expect_size=\"7178240\"] \n  19 -> 20 [size =\"7178240\"]\n  20 [size=\"139455147\", alpha=\"0.07\", expect_size=\"41836544\"] \n  20 -> 21 [size =\"41836544\"]\n  20 -> 22 [size =\"41836544\"]\n  21 [size=\"108513280\", alpha=\"0.16\", expect_size=\"32553984\"] \n  21 -> 23 [size =\"32553984\"]\n  21 -> 24 [size =\"32553984\"]\n  22 [size=\"134604800\", alpha=\"0.03\", expect_size=\"40381440\"] \n  23 [size=\"26224640\", alpha=\"0.05\", expect_size=\"7867392\"] \n  24 [size=\"150323200\", alpha=\"0.14\", expect_size=\"45096960\"] \n  24 -> 25 [size =\"45096960\"]\n  25 [size=\"88374613\", alpha=\"0.05\", expect_size=\"26512384\"] \n  25 -> 26 [size =\"26512384\"]\n  25 -> 27 [size =\"26512384\"]\n  26 [size=\"134912000\", alpha=\"0.08\", expect_size=\"40473600\"] \n  27 [size=\"133167787\", alpha=\"0.10\", expect_size=\"39950336\"] \n  27 -> 28 [size =\"39950336\"]\n  28 [size=\"143458987\", alpha=\"0.12\", expect_size=\"43037696\"] \n  28 -> 29 [size =\"43037696\"]\n  28 -> 30 [size =\"43037696\"]\n  29 [size=\"132717227\", alpha=\"0.18\", expect_size=\"39815168\"] \n  29 -> 31 [size =\"39815168\"]\n  29 -> 32 [size =\"39815168\"]\n  30 [size=\"81913173\", alpha=\"0.06\", expect_size=\"24573952\"] \n  31 [size=\"134526293\", alpha=\"0.12\", expect_size=\"40357888\"] \n  32 [size=\"100884480\", alpha=\"0.20\", expect_size=\"30265344\"] \n  32 -> 33 [size =\"30265344\"]\n  33 [size=\"126245547\", alpha=\"0.03\", expect_size=\"37873664\"] \n  33 -> 34 [size =\"37873664\"]\n  33 -> 35 [size =\"37873664\"]\n  34 [size=\"168881493\", alpha=\"0.19\", expect_size=\"50664448\"] \n  35 [size=\"125207893\", alpha=\"0.08\", expect_size=\"37562368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85191680\", alpha=\"0.16\", expect_size=\"34076672\"] \n  1 -> 5 [size =\"34076672\"]\n  1 -> 6 [size =\"34076672\"]\n  1 -> 7 [size =\"34076672\"]\n  1 -> 8 [size =\"34076672\"]\n  2 [size=\"37114880\", alpha=\"0.15\", expect_size=\"14845952\"] \n  2 -> 8 [size =\"14845952\"]\n  2 -> 9 [size =\"14845952\"]\n  3 [size=\"44820480\", alpha=\"0.19\", expect_size=\"17928192\"] \n  3 -> 5 [size =\"17928192\"]\n  3 -> 6 [size =\"17928192\"]\n  3 -> 7 [size =\"17928192\"]\n  4 [size=\"119613440\", alpha=\"0.15\", expect_size=\"47845376\"] \n  4 -> 5 [size =\"47845376\"]\n  4 -> 8 [size =\"47845376\"]\n  5 [size=\"78202880\", alpha=\"0.14\", expect_size=\"31281152\"] \n  5 -> 11 [size =\"31281152\"]\n  5 -> 12 [size =\"31281152\"]\n  5 -> 13 [size =\"31281152\"]\n  5 -> 14 [size =\"31281152\"]\n  6 [size=\"16739840\", alpha=\"0.03\", expect_size=\"6695936\"] \n  6 -> 11 [size =\"6695936\"]\n  6 -> 12 [size =\"6695936\"]\n  7 [size=\"52871680\", alpha=\"0.17\", expect_size=\"21148672\"] \n  7 -> 10 [size =\"21148672\"]\n  7 -> 11 [size =\"21148672\"]\n  7 -> 13 [size =\"21148672\"]\n  8 [size=\"114109440\", alpha=\"0.05\", expect_size=\"45643776\"] \n  8 -> 10 [size =\"45643776\"]\n  8 -> 13 [size =\"45643776\"]\n  9 [size=\"106168320\", alpha=\"0.03\", expect_size=\"42467328\"] \n  9 -> 13 [size =\"42467328\"]\n  10 [size=\"119475200\", alpha=\"0.02\", expect_size=\"47790080\"] \n  10 -> 17 [size =\"47790080\"]\n  11 [size=\"16473600\", alpha=\"0.19\", expect_size=\"6589440\"] \n  11 -> 15 [size =\"6589440\"]\n  11 -> 17 [size =\"6589440\"]\n  12 [size=\"111470080\", alpha=\"0.00\", expect_size=\"44588032\"] \n  12 -> 16 [size =\"44588032\"]\n  12 -> 17 [size =\"44588032\"]\n  12 -> 18 [size =\"44588032\"]\n  13 [size=\"83302400\", alpha=\"0.07\", expect_size=\"33320960\"] \n  13 -> 16 [size =\"33320960\"]\n  13 -> 19 [size =\"33320960\"]\n  14 [size=\"78405120\", alpha=\"0.05\", expect_size=\"31362048\"] \n  14 -> 17 [size =\"31362048\"]\n  14 -> 19 [size =\"31362048\"]\n  15 [size=\"50611200\", alpha=\"0.19\", expect_size=\"20244480\"] \n  16 [size=\"16053760\", alpha=\"0.15\", expect_size=\"6421504\"] \n  16 -> 20 [size =\"6421504\"]\n  17 [size=\"35251200\", alpha=\"0.06\", expect_size=\"14100480\"] \n  18 [size=\"19079680\", alpha=\"0.20\", expect_size=\"7631872\"] \n  18 -> 20 [size =\"7631872\"]\n  18 -> 21 [size =\"7631872\"]\n  18 -> 22 [size =\"7631872\"]\n  19 [size=\"45806080\", alpha=\"0.13\", expect_size=\"18322432\"] \n  19 -> 21 [size =\"18322432\"]\n  19 -> 23 [size =\"18322432\"]\n  20 [size=\"61199360\", alpha=\"0.02\", expect_size=\"24479744\"] \n  20 -> 25 [size =\"24479744\"]\n  20 -> 27 [size =\"24479744\"]\n  20 -> 28 [size =\"24479744\"]\n  21 [size=\"75937280\", alpha=\"0.03\", expect_size=\"30374912\"] \n  21 -> 24 [size =\"30374912\"]\n  21 -> 25 [size =\"30374912\"]\n  21 -> 26 [size =\"30374912\"]\n  21 -> 28 [size =\"30374912\"]\n  22 [size=\"72202240\", alpha=\"0.09\", expect_size=\"28880896\"] \n  22 -> 27 [size =\"28880896\"]\n  23 [size=\"72624640\", alpha=\"0.19\", expect_size=\"29049856\"] \n  23 -> 24 [size =\"29049856\"]\n  23 -> 25 [size =\"29049856\"]\n  23 -> 26 [size =\"29049856\"]\n  23 -> 27 [size =\"29049856\"]\n  24 [size=\"114119680\", alpha=\"0.08\", expect_size=\"45647872\"] \n  24 -> 29 [size =\"45647872\"]\n  24 -> 31 [size =\"45647872\"]\n  25 [size=\"28282880\", alpha=\"0.08\", expect_size=\"11313152\"] \n  25 -> 29 [size =\"11313152\"]\n  25 -> 30 [size =\"11313152\"]\n  25 -> 33 [size =\"11313152\"]\n  26 [size=\"21921280\", alpha=\"0.09\", expect_size=\"8768512\"] \n  26 -> 29 [size =\"8768512\"]\n  27 [size=\"111936000\", alpha=\"0.16\", expect_size=\"44774400\"] \n  27 -> 30 [size =\"44774400\"]\n  28 [size=\"28508160\", alpha=\"0.00\", expect_size=\"11403264\"] \n  28 -> 29 [size =\"11403264\"]\n  28 -> 32 [size =\"11403264\"]\n  28 -> 33 [size =\"11403264\"]\n  29 [size=\"27870720\", alpha=\"0.00\", expect_size=\"11148288\"] \n  30 [size=\"103183360\", alpha=\"0.18\", expect_size=\"41273344\"] \n  31 [size=\"114240000\", alpha=\"0.17\", expect_size=\"45696000\"] \n  31 -> 35 [size =\"45696000\"]\n  32 [size=\"15157760\", alpha=\"0.13\", expect_size=\"6063104\"] \n  33 [size=\"65879040\", alpha=\"0.20\", expect_size=\"26351616\"] \n  33 -> 34 [size =\"26351616\"]\n  34 [size=\"62187520\", alpha=\"0.18\", expect_size=\"24875008\"] \n  35 [size=\"110592000\", alpha=\"0.03\", expect_size=\"44236800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38978560\", alpha=\"0.16\", expect_size=\"15591424\"] \n  1 -> 7 [size =\"15591424\"]\n  1 -> 10 [size =\"15591424\"]\n  2 [size=\"74905600\", alpha=\"0.17\", expect_size=\"29962240\"] \n  2 -> 6 [size =\"29962240\"]\n  2 -> 9 [size =\"29962240\"]\n  3 [size=\"42332160\", alpha=\"0.16\", expect_size=\"16932864\"] \n  3 -> 7 [size =\"16932864\"]\n  3 -> 10 [size =\"16932864\"]\n  4 [size=\"63367680\", alpha=\"0.02\", expect_size=\"25347072\"] \n  4 -> 8 [size =\"25347072\"]\n  4 -> 9 [size =\"25347072\"]\n  5 [size=\"94499840\", alpha=\"0.02\", expect_size=\"37799936\"] \n  5 -> 8 [size =\"37799936\"]\n  6 [size=\"44367360\", alpha=\"0.12\", expect_size=\"17746944\"] \n  6 -> 11 [size =\"17746944\"]\n  7 [size=\"101212160\", alpha=\"0.11\", expect_size=\"40484864\"] \n  7 -> 11 [size =\"40484864\"]\n  7 -> 13 [size =\"40484864\"]\n  8 [size=\"127782400\", alpha=\"0.02\", expect_size=\"51112960\"] \n  8 -> 11 [size =\"51112960\"]\n  9 [size=\"99059200\", alpha=\"0.13\", expect_size=\"39623680\"] \n  9 -> 11 [size =\"39623680\"]\n  9 -> 12 [size =\"39623680\"]\n  10 [size=\"96488960\", alpha=\"0.08\", expect_size=\"38595584\"] \n  10 -> 11 [size =\"38595584\"]\n  10 -> 12 [size =\"38595584\"]\n  10 -> 13 [size =\"38595584\"]\n  11 [size=\"121715200\", alpha=\"0.18\", expect_size=\"48686080\"] \n  11 -> 14 [size =\"48686080\"]\n  11 -> 15 [size =\"48686080\"]\n  11 -> 16 [size =\"48686080\"]\n  12 [size=\"100577280\", alpha=\"0.15\", expect_size=\"40230912\"] \n  12 -> 14 [size =\"40230912\"]\n  12 -> 15 [size =\"40230912\"]\n  12 -> 16 [size =\"40230912\"]\n  12 -> 17 [size =\"40230912\"]\n  13 [size=\"84172800\", alpha=\"0.10\", expect_size=\"33669120\"] \n  13 -> 14 [size =\"33669120\"]\n  13 -> 15 [size =\"33669120\"]\n  13 -> 16 [size =\"33669120\"]\n  13 -> 17 [size =\"33669120\"]\n  13 -> 18 [size =\"33669120\"]\n  14 [size=\"62638080\", alpha=\"0.16\", expect_size=\"25055232\"] \n  14 -> 20 [size =\"25055232\"]\n  14 -> 21 [size =\"25055232\"]\n  14 -> 22 [size =\"25055232\"]\n  14 -> 24 [size =\"25055232\"]\n  15 [size=\"72476160\", alpha=\"0.12\", expect_size=\"28990464\"] \n  15 -> 21 [size =\"28990464\"]\n  15 -> 22 [size =\"28990464\"]\n  15 -> 24 [size =\"28990464\"]\n  15 -> 24 [size =\"28990464\"]\n  16 [size=\"85158400\", alpha=\"0.17\", expect_size=\"34063360\"] \n  16 -> 19 [size =\"34063360\"]\n  16 -> 20 [size =\"34063360\"]\n  16 -> 21 [size =\"34063360\"]\n  16 -> 22 [size =\"34063360\"]\n  16 -> 23 [size =\"34063360\"]\n  17 [size=\"39828480\", alpha=\"0.15\", expect_size=\"15931392\"] \n  17 -> 19 [size =\"15931392\"]\n  17 -> 20 [size =\"15931392\"]\n  17 -> 22 [size =\"15931392\"]\n  17 -> 23 [size =\"15931392\"]\n  17 -> 24 [size =\"15931392\"]\n  18 [size=\"103741440\", alpha=\"0.14\", expect_size=\"41496576\"] \n  18 -> 19 [size =\"41496576\"]\n  18 -> 20 [size =\"41496576\"]\n  18 -> 22 [size =\"41496576\"]\n  18 -> 23 [size =\"41496576\"]\n  19 [size=\"118080000\", alpha=\"0.13\", expect_size=\"47232000\"] \n  19 -> 25 [size =\"47232000\"]\n  19 -> 27 [size =\"47232000\"]\n  19 -> 29 [size =\"47232000\"]\n  20 [size=\"78561280\", alpha=\"0.08\", expect_size=\"31424512\"] \n  20 -> 28 [size =\"31424512\"]\n  21 [size=\"123466240\", alpha=\"0.07\", expect_size=\"49386496\"] \n  21 -> 27 [size =\"49386496\"]\n  21 -> 28 [size =\"49386496\"]\n  21 -> 29 [size =\"49386496\"]\n  22 [size=\"110778880\", alpha=\"0.16\", expect_size=\"44311552\"] \n  22 -> 25 [size =\"44311552\"]\n  22 -> 26 [size =\"44311552\"]\n  23 [size=\"78824960\", alpha=\"0.11\", expect_size=\"31529984\"] \n  23 -> 27 [size =\"31529984\"]\n  23 -> 28 [size =\"31529984\"]\n  24 [size=\"19269120\", alpha=\"0.13\", expect_size=\"7707648\"] \n  24 -> 25 [size =\"7707648\"]\n  25 [size=\"113692160\", alpha=\"0.10\", expect_size=\"45476864\"] \n  25 -> 31 [size =\"45476864\"]\n  25 -> 33 [size =\"45476864\"]\n  25 -> 34 [size =\"45476864\"]\n  26 [size=\"64194560\", alpha=\"0.12\", expect_size=\"25677824\"] \n  26 -> 30 [size =\"25677824\"]\n  26 -> 31 [size =\"25677824\"]\n  26 -> 32 [size =\"25677824\"]\n  26 -> 34 [size =\"25677824\"]\n  27 [size=\"46942720\", alpha=\"0.09\", expect_size=\"18777088\"] \n  27 -> 31 [size =\"18777088\"]\n  27 -> 34 [size =\"18777088\"]\n  28 [size=\"19893760\", alpha=\"0.05\", expect_size=\"7957504\"] \n  28 -> 31 [size =\"7957504\"]\n  29 [size=\"102423040\", alpha=\"0.16\", expect_size=\"40969216\"] \n  29 -> 33 [size =\"40969216\"]\n  29 -> 34 [size =\"40969216\"]\n  30 [size=\"63982080\", alpha=\"0.01\", expect_size=\"25592832\"] \n  31 [size=\"111121920\", alpha=\"0.05\", expect_size=\"44448768\"] \n  31 -> 35 [size =\"44448768\"]\n  32 [size=\"33784320\", alpha=\"0.03\", expect_size=\"13513728\"] \n  32 -> 35 [size =\"13513728\"]\n  33 [size=\"129702400\", alpha=\"0.13\", expect_size=\"51880960\"] \n  33 -> 35 [size =\"51880960\"]\n  34 [size=\"74204160\", alpha=\"0.12\", expect_size=\"29681664\"] \n  34 -> 35 [size =\"29681664\"]\n  35 [size=\"35514880\", alpha=\"0.01\", expect_size=\"14205952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23183360\", alpha=\"0.13\", expect_size=\"6955008\"] \n  1 -> 2 [size =\"6955008\"]\n  2 [size=\"149794133\", alpha=\"0.07\", expect_size=\"44938240\"] \n  2 -> 3 [size =\"44938240\"]\n  3 [size=\"46131200\", alpha=\"0.09\", expect_size=\"13839360\"] \n  3 -> 4 [size =\"13839360\"]\n  4 [size=\"40748373\", alpha=\"0.03\", expect_size=\"12224512\"] \n  4 -> 5 [size =\"12224512\"]\n  5 [size=\"148036267\", alpha=\"0.07\", expect_size=\"44410880\"] \n  5 -> 6 [size =\"44410880\"]\n  6 [size=\"133676373\", alpha=\"0.05\", expect_size=\"40102912\"] \n  6 -> 7 [size =\"40102912\"]\n  7 [size=\"57384960\", alpha=\"0.10\", expect_size=\"17215488\"] \n  7 -> 8 [size =\"17215488\"]\n  8 [size=\"69399893\", alpha=\"0.06\", expect_size=\"20819968\"] \n  8 -> 9 [size =\"20819968\"]\n  9 [size=\"26798080\", alpha=\"0.09\", expect_size=\"8039424\"] \n  9 -> 10 [size =\"8039424\"]\n  10 [size=\"30877013\", alpha=\"0.15\", expect_size=\"9263104\"] \n  10 -> 11 [size =\"9263104\"]\n  11 [size=\"63894187\", alpha=\"0.16\", expect_size=\"19168256\"] \n  11 -> 12 [size =\"19168256\"]\n  12 [size=\"165826560\", alpha=\"0.13\", expect_size=\"49747968\"] \n  12 -> 13 [size =\"49747968\"]\n  13 [size=\"60412587\", alpha=\"0.16\", expect_size=\"18123776\"] \n  13 -> 14 [size =\"18123776\"]\n  14 [size=\"134318080\", alpha=\"0.05\", expect_size=\"40295424\"] \n  14 -> 15 [size =\"40295424\"]\n  15 [size=\"158894080\", alpha=\"0.13\", expect_size=\"47668224\"] \n  15 -> 16 [size =\"47668224\"]\n  16 [size=\"56582827\", alpha=\"0.17\", expect_size=\"16974848\"] \n  16 -> 17 [size =\"16974848\"]\n  17 [size=\"94341120\", alpha=\"0.02\", expect_size=\"28302336\"] \n  17 -> 18 [size =\"28302336\"]\n  18 [size=\"169103360\", alpha=\"0.20\", expect_size=\"50731008\"] \n  18 -> 19 [size =\"50731008\"]\n  19 [size=\"56937813\", alpha=\"0.10\", expect_size=\"17081344\"] \n  19 -> 20 [size =\"17081344\"]\n  20 [size=\"128085333\", alpha=\"0.04\", expect_size=\"38425600\"] \n  20 -> 21 [size =\"38425600\"]\n  21 [size=\"91893760\", alpha=\"0.19\", expect_size=\"27568128\"] \n  21 -> 22 [size =\"27568128\"]\n  22 [size=\"57524907\", alpha=\"0.10\", expect_size=\"17257472\"] \n  22 -> 23 [size =\"17257472\"]\n  23 [size=\"155842560\", alpha=\"0.06\", expect_size=\"46752768\"] \n  23 -> 24 [size =\"46752768\"]\n  24 [size=\"127286613\", alpha=\"0.04\", expect_size=\"38185984\"] \n  24 -> 25 [size =\"38185984\"]\n  25 [size=\"165870933\", alpha=\"0.18\", expect_size=\"49761280\"] \n  25 -> 26 [size =\"49761280\"]\n  26 [size=\"107642880\", alpha=\"0.08\", expect_size=\"32292864\"] \n  26 -> 27 [size =\"32292864\"]\n  27 [size=\"84449280\", alpha=\"0.03\", expect_size=\"25334784\"] \n  27 -> 28 [size =\"25334784\"]\n  28 [size=\"98095787\", alpha=\"0.04\", expect_size=\"29428736\"] \n  28 -> 29 [size =\"29428736\"]\n  29 [size=\"96884053\", alpha=\"0.06\", expect_size=\"29065216\"] \n  29 -> 30 [size =\"29065216\"]\n  30 [size=\"18773333\", alpha=\"0.10\", expect_size=\"5632000\"] \n  30 -> 31 [size =\"5632000\"]\n  31 [size=\"50776747\", alpha=\"0.00\", expect_size=\"15233024\"] \n  31 -> 32 [size =\"15233024\"]\n  32 [size=\"41325227\", alpha=\"0.09\", expect_size=\"12397568\"] \n  32 -> 33 [size =\"12397568\"]\n  33 [size=\"122733227\", alpha=\"0.04\", expect_size=\"36819968\"] \n  33 -> 34 [size =\"36819968\"]\n  34 [size=\"166372693\", alpha=\"0.13\", expect_size=\"49911808\"] \n  34 -> 35 [size =\"49911808\"]\n  35 [size=\"38236160\", alpha=\"0.20\", expect_size=\"11470848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38535680\", alpha=\"0.03\", expect_size=\"15414272\"] \n  1 -> 11 [size =\"15414272\"]\n  1 -> 12 [size =\"15414272\"]\n  1 -> 13 [size =\"15414272\"]\n  1 -> 14 [size =\"15414272\"]\n  1 -> 15 [size =\"15414272\"]\n  1 -> 16 [size =\"15414272\"]\n  1 -> 17 [size =\"15414272\"]\n  1 -> 18 [size =\"15414272\"]\n  1 -> 19 [size =\"15414272\"]\n  2 [size=\"118696960\", alpha=\"0.07\", expect_size=\"47478784\"] \n  2 -> 13 [size =\"47478784\"]\n  2 -> 14 [size =\"47478784\"]\n  2 -> 16 [size =\"47478784\"]\n  2 -> 17 [size =\"47478784\"]\n  2 -> 19 [size =\"47478784\"]\n  2 -> 20 [size =\"47478784\"]\n  3 [size=\"55539200\", alpha=\"0.09\", expect_size=\"22215680\"] \n  3 -> 12 [size =\"22215680\"]\n  3 -> 13 [size =\"22215680\"]\n  3 -> 14 [size =\"22215680\"]\n  3 -> 15 [size =\"22215680\"]\n  3 -> 16 [size =\"22215680\"]\n  3 -> 18 [size =\"22215680\"]\n  3 -> 21 [size =\"22215680\"]\n  4 [size=\"21235200\", alpha=\"0.12\", expect_size=\"8494080\"] \n  4 -> 11 [size =\"8494080\"]\n  4 -> 14 [size =\"8494080\"]\n  4 -> 18 [size =\"8494080\"]\n  4 -> 21 [size =\"8494080\"]\n  5 [size=\"77350400\", alpha=\"0.12\", expect_size=\"30940160\"] \n  5 -> 16 [size =\"30940160\"]\n  5 -> 19 [size =\"30940160\"]\n  6 [size=\"99381760\", alpha=\"0.00\", expect_size=\"39752704\"] \n  6 -> 12 [size =\"39752704\"]\n  6 -> 13 [size =\"39752704\"]\n  6 -> 17 [size =\"39752704\"]\n  6 -> 20 [size =\"39752704\"]\n  6 -> 21 [size =\"39752704\"]\n  7 [size=\"121546240\", alpha=\"0.14\", expect_size=\"48618496\"] \n  7 -> 11 [size =\"48618496\"]\n  7 -> 12 [size =\"48618496\"]\n  7 -> 14 [size =\"48618496\"]\n  7 -> 17 [size =\"48618496\"]\n  8 [size=\"76024320\", alpha=\"0.14\", expect_size=\"30409728\"] \n  8 -> 11 [size =\"30409728\"]\n  8 -> 17 [size =\"30409728\"]\n  9 [size=\"61744640\", alpha=\"0.18\", expect_size=\"24697856\"] \n  9 -> 11 [size =\"24697856\"]\n  9 -> 12 [size =\"24697856\"]\n  9 -> 14 [size =\"24697856\"]\n  9 -> 15 [size =\"24697856\"]\n  9 -> 16 [size =\"24697856\"]\n  9 -> 17 [size =\"24697856\"]\n  9 -> 19 [size =\"24697856\"]\n  9 -> 21 [size =\"24697856\"]\n  10 [size=\"63316480\", alpha=\"0.13\", expect_size=\"25326592\"] \n  10 -> 12 [size =\"25326592\"]\n  10 -> 13 [size =\"25326592\"]\n  10 -> 14 [size =\"25326592\"]\n  10 -> 15 [size =\"25326592\"]\n  10 -> 16 [size =\"25326592\"]\n  10 -> 18 [size =\"25326592\"]\n  10 -> 19 [size =\"25326592\"]\n  10 -> 20 [size =\"25326592\"]\n  11 [size=\"42575360\", alpha=\"0.06\", expect_size=\"17030144\"] \n  11 -> 25 [size =\"17030144\"]\n  11 -> 26 [size =\"17030144\"]\n  11 -> 27 [size =\"17030144\"]\n  11 -> 28 [size =\"17030144\"]\n  11 -> 30 [size =\"17030144\"]\n  11 -> 31 [size =\"17030144\"]\n  11 -> 32 [size =\"17030144\"]\n  12 [size=\"61493760\", alpha=\"0.15\", expect_size=\"24597504\"] \n  12 -> 22 [size =\"24597504\"]\n  12 -> 23 [size =\"24597504\"]\n  12 -> 25 [size =\"24597504\"]\n  12 -> 26 [size =\"24597504\"]\n  12 -> 27 [size =\"24597504\"]\n  12 -> 28 [size =\"24597504\"]\n  12 -> 30 [size =\"24597504\"]\n  13 [size=\"102970880\", alpha=\"0.19\", expect_size=\"41188352\"] \n  13 -> 22 [size =\"41188352\"]\n  13 -> 23 [size =\"41188352\"]\n  13 -> 24 [size =\"41188352\"]\n  13 -> 28 [size =\"41188352\"]\n  13 -> 30 [size =\"41188352\"]\n  13 -> 31 [size =\"41188352\"]\n  13 -> 32 [size =\"41188352\"]\n  13 -> 33 [size =\"41188352\"]\n  14 [size=\"37355520\", alpha=\"0.03\", expect_size=\"14942208\"] \n  14 -> 22 [size =\"14942208\"]\n  14 -> 23 [size =\"14942208\"]\n  14 -> 26 [size =\"14942208\"]\n  14 -> 27 [size =\"14942208\"]\n  14 -> 30 [size =\"14942208\"]\n  14 -> 31 [size =\"14942208\"]\n  14 -> 32 [size =\"14942208\"]\n  15 [size=\"108999680\", alpha=\"0.13\", expect_size=\"43599872\"] \n  15 -> 23 [size =\"43599872\"]\n  15 -> 23 [size =\"43599872\"]\n  15 -> 24 [size =\"43599872\"]\n  15 -> 26 [size =\"43599872\"]\n  15 -> 31 [size =\"43599872\"]\n  15 -> 32 [size =\"43599872\"]\n  15 -> 33 [size =\"43599872\"]\n  16 [size=\"59737600\", alpha=\"0.03\", expect_size=\"23895040\"] \n  16 -> 22 [size =\"23895040\"]\n  16 -> 24 [size =\"23895040\"]\n  16 -> 25 [size =\"23895040\"]\n  16 -> 29 [size =\"23895040\"]\n  16 -> 31 [size =\"23895040\"]\n  17 [size=\"60072960\", alpha=\"0.08\", expect_size=\"24029184\"] \n  17 -> 22 [size =\"24029184\"]\n  17 -> 23 [size =\"24029184\"]\n  17 -> 24 [size =\"24029184\"]\n  17 -> 25 [size =\"24029184\"]\n  17 -> 26 [size =\"24029184\"]\n  17 -> 27 [size =\"24029184\"]\n  17 -> 28 [size =\"24029184\"]\n  17 -> 29 [size =\"24029184\"]\n  17 -> 30 [size =\"24029184\"]\n  18 [size=\"24663040\", alpha=\"0.20\", expect_size=\"9865216\"] \n  18 -> 28 [size =\"9865216\"]\n  18 -> 29 [size =\"9865216\"]\n  18 -> 31 [size =\"9865216\"]\n  18 -> 33 [size =\"9865216\"]\n  19 [size=\"108380160\", alpha=\"0.15\", expect_size=\"43352064\"] \n  19 -> 23 [size =\"43352064\"]\n  19 -> 25 [size =\"43352064\"]\n  19 -> 27 [size =\"43352064\"]\n  19 -> 33 [size =\"43352064\"]\n  20 [size=\"97392640\", alpha=\"0.18\", expect_size=\"38957056\"] \n  20 -> 22 [size =\"38957056\"]\n  20 -> 23 [size =\"38957056\"]\n  20 -> 24 [size =\"38957056\"]\n  20 -> 26 [size =\"38957056\"]\n  20 -> 27 [size =\"38957056\"]\n  20 -> 28 [size =\"38957056\"]\n  20 -> 30 [size =\"38957056\"]\n  20 -> 31 [size =\"38957056\"]\n  20 -> 32 [size =\"38957056\"]\n  20 -> 33 [size =\"38957056\"]\n  21 [size=\"58083840\", alpha=\"0.05\", expect_size=\"23233536\"] \n  21 -> 26 [size =\"23233536\"]\n  21 -> 28 [size =\"23233536\"]\n  21 -> 30 [size =\"23233536\"]\n  21 -> 31 [size =\"23233536\"]\n  21 -> 32 [size =\"23233536\"]\n  21 -> 33 [size =\"23233536\"]\n  22 [size=\"94120960\", alpha=\"0.10\", expect_size=\"37648384\"] \n  23 [size=\"64872960\", alpha=\"0.03\", expect_size=\"25949184\"] \n  23 -> 34 [size =\"25949184\"]\n  24 [size=\"56596480\", alpha=\"0.16\", expect_size=\"22638592\"] \n  24 -> 34 [size =\"22638592\"]\n  25 [size=\"74452480\", alpha=\"0.01\", expect_size=\"29780992\"] \n  25 -> 35 [size =\"29780992\"]\n  26 [size=\"32335360\", alpha=\"0.01\", expect_size=\"12934144\"] \n  26 -> 35 [size =\"12934144\"]\n  27 [size=\"47923200\", alpha=\"0.18\", expect_size=\"19169280\"] \n  27 -> 35 [size =\"19169280\"]\n  28 [size=\"94238720\", alpha=\"0.07\", expect_size=\"37695488\"] \n  29 [size=\"93160960\", alpha=\"0.03\", expect_size=\"37264384\"] \n  29 -> 34 [size =\"37264384\"]\n  30 [size=\"61550080\", alpha=\"0.08\", expect_size=\"24620032\"] \n  30 -> 34 [size =\"24620032\"]\n  30 -> 35 [size =\"24620032\"]\n  31 [size=\"47779840\", alpha=\"0.19\", expect_size=\"19111936\"] \n  31 -> 34 [size =\"19111936\"]\n  31 -> 35 [size =\"19111936\"]\n  32 [size=\"77278720\", alpha=\"0.17\", expect_size=\"30911488\"] \n  32 -> 34 [size =\"30911488\"]\n  32 -> 35 [size =\"30911488\"]\n  33 [size=\"19712000\", alpha=\"0.10\", expect_size=\"7884800\"] \n  33 -> 34 [size =\"7884800\"]\n  34 [size=\"35476480\", alpha=\"0.08\", expect_size=\"14190592\"] \n  35 [size=\"14737920\", alpha=\"0.02\", expect_size=\"5895168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19448320\", alpha=\"0.18\", expect_size=\"7779328\"] \n  2 [size=\"130711040\", alpha=\"0.03\", expect_size=\"52284416\"] \n  2 -> 6 [size =\"52284416\"]\n  3 [size=\"36608000\", alpha=\"0.08\", expect_size=\"14643200\"] \n  3 -> 7 [size =\"14643200\"]\n  3 -> 8 [size =\"14643200\"]\n  4 [size=\"73697280\", alpha=\"0.11\", expect_size=\"29478912\"] \n  4 -> 9 [size =\"29478912\"]\n  5 [size=\"27991040\", alpha=\"0.06\", expect_size=\"11196416\"] \n  5 -> 9 [size =\"11196416\"]\n  5 -> 10 [size =\"11196416\"]\n  6 [size=\"71344640\", alpha=\"0.20\", expect_size=\"28537856\"] \n  6 -> 11 [size =\"28537856\"]\n  6 -> 12 [size =\"28537856\"]\n  6 -> 13 [size =\"28537856\"]\n  6 -> 15 [size =\"28537856\"]\n  7 [size=\"13962240\", alpha=\"0.02\", expect_size=\"5584896\"] \n  7 -> 11 [size =\"5584896\"]\n  7 -> 12 [size =\"5584896\"]\n  7 -> 13 [size =\"5584896\"]\n  7 -> 15 [size =\"5584896\"]\n  8 [size=\"114155520\", alpha=\"0.16\", expect_size=\"45662208\"] \n  8 -> 11 [size =\"45662208\"]\n  8 -> 13 [size =\"45662208\"]\n  8 -> 15 [size =\"45662208\"]\n  9 [size=\"82823680\", alpha=\"0.16\", expect_size=\"33129472\"] \n  9 -> 13 [size =\"33129472\"]\n  9 -> 15 [size =\"33129472\"]\n  10 [size=\"92444160\", alpha=\"0.03\", expect_size=\"36977664\"] \n  10 -> 11 [size =\"36977664\"]\n  10 -> 12 [size =\"36977664\"]\n  10 -> 13 [size =\"36977664\"]\n  10 -> 14 [size =\"36977664\"]\n  10 -> 15 [size =\"36977664\"]\n  11 [size=\"90424320\", alpha=\"0.14\", expect_size=\"36169728\"] \n  11 -> 16 [size =\"36169728\"]\n  11 -> 19 [size =\"36169728\"]\n  12 [size=\"75814400\", alpha=\"0.19\", expect_size=\"30325760\"] \n  12 -> 16 [size =\"30325760\"]\n  12 -> 20 [size =\"30325760\"]\n  13 [size=\"95836160\", alpha=\"0.09\", expect_size=\"38334464\"] \n  13 -> 16 [size =\"38334464\"]\n  13 -> 17 [size =\"38334464\"]\n  13 -> 18 [size =\"38334464\"]\n  13 -> 19 [size =\"38334464\"]\n  14 [size=\"25630720\", alpha=\"0.08\", expect_size=\"10252288\"] \n  14 -> 16 [size =\"10252288\"]\n  14 -> 19 [size =\"10252288\"]\n  14 -> 20 [size =\"10252288\"]\n  15 [size=\"90726400\", alpha=\"0.01\", expect_size=\"36290560\"] \n  15 -> 16 [size =\"36290560\"]\n  15 -> 19 [size =\"36290560\"]\n  15 -> 20 [size =\"36290560\"]\n  16 [size=\"128637440\", alpha=\"0.04\", expect_size=\"51454976\"] \n  16 -> 22 [size =\"51454976\"]\n  16 -> 23 [size =\"51454976\"]\n  17 [size=\"127232000\", alpha=\"0.06\", expect_size=\"50892800\"] \n  17 -> 22 [size =\"50892800\"]\n  17 -> 23 [size =\"50892800\"]\n  17 -> 24 [size =\"50892800\"]\n  18 [size=\"20241920\", alpha=\"0.08\", expect_size=\"8096768\"] \n  18 -> 21 [size =\"8096768\"]\n  18 -> 22 [size =\"8096768\"]\n  18 -> 24 [size =\"8096768\"]\n  19 [size=\"117258240\", alpha=\"0.08\", expect_size=\"46903296\"] \n  19 -> 23 [size =\"46903296\"]\n  20 [size=\"92011520\", alpha=\"0.09\", expect_size=\"36804608\"] \n  20 -> 22 [size =\"36804608\"]\n  20 -> 23 [size =\"36804608\"]\n  21 [size=\"111741440\", alpha=\"0.12\", expect_size=\"44696576\"] \n  21 -> 25 [size =\"44696576\"]\n  21 -> 27 [size =\"44696576\"]\n  21 -> 28 [size =\"44696576\"]\n  22 [size=\"74785280\", alpha=\"0.14\", expect_size=\"29914112\"] \n  22 -> 25 [size =\"29914112\"]\n  22 -> 26 [size =\"29914112\"]\n  23 [size=\"66667520\", alpha=\"0.01\", expect_size=\"26667008\"] \n  23 -> 25 [size =\"26667008\"]\n  23 -> 26 [size =\"26667008\"]\n  23 -> 27 [size =\"26667008\"]\n  24 [size=\"120371200\", alpha=\"0.17\", expect_size=\"48148480\"] \n  24 -> 27 [size =\"48148480\"]\n  24 -> 28 [size =\"48148480\"]\n  25 [size=\"52044800\", alpha=\"0.16\", expect_size=\"20817920\"] \n  25 -> 29 [size =\"20817920\"]\n  25 -> 30 [size =\"20817920\"]\n  25 -> 31 [size =\"20817920\"]\n  25 -> 32 [size =\"20817920\"]\n  26 [size=\"55334400\", alpha=\"0.06\", expect_size=\"22133760\"] \n  26 -> 30 [size =\"22133760\"]\n  26 -> 31 [size =\"22133760\"]\n  26 -> 32 [size =\"22133760\"]\n  26 -> 32 [size =\"22133760\"]\n  27 [size=\"76738560\", alpha=\"0.15\", expect_size=\"30695424\"] \n  27 -> 29 [size =\"30695424\"]\n  27 -> 30 [size =\"30695424\"]\n  27 -> 31 [size =\"30695424\"]\n  28 [size=\"109184000\", alpha=\"0.01\", expect_size=\"43673600\"] \n  28 -> 29 [size =\"43673600\"]\n  28 -> 30 [size =\"43673600\"]\n  28 -> 31 [size =\"43673600\"]\n  28 -> 32 [size =\"43673600\"]\n  29 [size=\"38978560\", alpha=\"0.19\", expect_size=\"15591424\"] \n  29 -> 33 [size =\"15591424\"]\n  29 -> 34 [size =\"15591424\"]\n  30 [size=\"85844480\", alpha=\"0.11\", expect_size=\"34337792\"] \n  30 -> 33 [size =\"34337792\"]\n  30 -> 35 [size =\"34337792\"]\n  31 [size=\"22963200\", alpha=\"0.16\", expect_size=\"9185280\"] \n  31 -> 33 [size =\"9185280\"]\n  31 -> 34 [size =\"9185280\"]\n  31 -> 35 [size =\"9185280\"]\n  32 [size=\"92600320\", alpha=\"0.11\", expect_size=\"37040128\"] \n  32 -> 33 [size =\"37040128\"]\n  32 -> 35 [size =\"37040128\"]\n  32 -> 35 [size =\"37040128\"]\n  33 [size=\"58470400\", alpha=\"0.00\", expect_size=\"23388160\"] \n  34 [size=\"62039040\", alpha=\"0.12\", expect_size=\"24815616\"] \n  35 [size=\"45928960\", alpha=\"0.16\", expect_size=\"18371584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132212053\", alpha=\"0.11\", expect_size=\"39663616\"] \n  1 -> 2 [size =\"39663616\"]\n  2 [size=\"158088533\", alpha=\"0.06\", expect_size=\"47426560\"] \n  2 -> 3 [size =\"47426560\"]\n  3 [size=\"55968427\", alpha=\"0.15\", expect_size=\"16790528\"] \n  3 -> 4 [size =\"16790528\"]\n  4 [size=\"26030080\", alpha=\"0.13\", expect_size=\"7809024\"] \n  4 -> 5 [size =\"7809024\"]\n  5 [size=\"20104533\", alpha=\"0.07\", expect_size=\"6031360\"] \n  5 -> 6 [size =\"6031360\"]\n  6 [size=\"30283093\", alpha=\"0.17\", expect_size=\"9084928\"] \n  6 -> 7 [size =\"9084928\"]\n  7 [size=\"154429440\", alpha=\"0.12\", expect_size=\"46328832\"] \n  7 -> 8 [size =\"46328832\"]\n  8 [size=\"64655360\", alpha=\"0.04\", expect_size=\"19396608\"] \n  8 -> 9 [size =\"19396608\"]\n  9 [size=\"51541333\", alpha=\"0.09\", expect_size=\"15462400\"] \n  9 -> 10 [size =\"15462400\"]\n  10 [size=\"172892160\", alpha=\"0.20\", expect_size=\"51867648\"] \n  10 -> 11 [size =\"51867648\"]\n  11 [size=\"38246400\", alpha=\"0.15\", expect_size=\"11473920\"] \n  11 -> 12 [size =\"11473920\"]\n  12 [size=\"123299840\", alpha=\"0.09\", expect_size=\"36989952\"] \n  12 -> 13 [size =\"36989952\"]\n  13 [size=\"170434560\", alpha=\"0.02\", expect_size=\"51130368\"] \n  13 -> 14 [size =\"51130368\"]\n  14 [size=\"129757867\", alpha=\"0.02\", expect_size=\"38927360\"] \n  14 -> 15 [size =\"38927360\"]\n  15 [size=\"77711360\", alpha=\"0.18\", expect_size=\"23313408\"] \n  15 -> 16 [size =\"23313408\"]\n  16 [size=\"132478293\", alpha=\"0.00\", expect_size=\"39743488\"] \n  16 -> 17 [size =\"39743488\"]\n  17 [size=\"112291840\", alpha=\"0.08\", expect_size=\"33687552\"] \n  17 -> 18 [size =\"33687552\"]\n  18 [size=\"49619627\", alpha=\"0.14\", expect_size=\"14885888\"] \n  18 -> 19 [size =\"14885888\"]\n  19 [size=\"81380693\", alpha=\"0.02\", expect_size=\"24414208\"] \n  19 -> 20 [size =\"24414208\"]\n  20 [size=\"155931307\", alpha=\"0.11\", expect_size=\"46779392\"] \n  20 -> 21 [size =\"46779392\"]\n  21 [size=\"153729707\", alpha=\"0.14\", expect_size=\"46118912\"] \n  21 -> 22 [size =\"46118912\"]\n  22 [size=\"111868587\", alpha=\"0.15\", expect_size=\"33560576\"] \n  22 -> 23 [size =\"33560576\"]\n  23 [size=\"24077653\", alpha=\"0.01\", expect_size=\"7223296\"] \n  23 -> 24 [size =\"7223296\"]\n  24 [size=\"41977173\", alpha=\"0.08\", expect_size=\"12593152\"] \n  24 -> 25 [size =\"12593152\"]\n  25 [size=\"57627307\", alpha=\"0.15\", expect_size=\"17288192\"] \n  25 -> 26 [size =\"17288192\"]\n  26 [size=\"42461867\", alpha=\"0.04\", expect_size=\"12738560\"] \n  26 -> 27 [size =\"12738560\"]\n  27 [size=\"42577920\", alpha=\"0.11\", expect_size=\"12773376\"] \n  27 -> 28 [size =\"12773376\"]\n  28 [size=\"107188907\", alpha=\"0.03\", expect_size=\"32156672\"] \n  28 -> 29 [size =\"32156672\"]\n  29 [size=\"59924480\", alpha=\"0.20\", expect_size=\"17977344\"] \n  29 -> 30 [size =\"17977344\"]\n  30 [size=\"75687253\", alpha=\"0.16\", expect_size=\"22706176\"] \n  30 -> 31 [size =\"22706176\"]\n  31 [size=\"159013547\", alpha=\"0.15\", expect_size=\"47704064\"] \n  31 -> 32 [size =\"47704064\"]\n  32 [size=\"110066347\", alpha=\"0.08\", expect_size=\"33019904\"] \n  32 -> 33 [size =\"33019904\"]\n  33 [size=\"69461333\", alpha=\"0.00\", expect_size=\"20838400\"] \n  33 -> 34 [size =\"20838400\"]\n  34 [size=\"75694080\", alpha=\"0.07\", expect_size=\"22708224\"] \n  34 -> 35 [size =\"22708224\"]\n  35 [size=\"137314987\", alpha=\"0.01\", expect_size=\"41194496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84098560\", alpha=\"0.10\", expect_size=\"33639424\"] \n  1 -> 16 [size =\"33639424\"]\n  1 -> 17 [size =\"33639424\"]\n  1 -> 23 [size =\"33639424\"]\n  1 -> 25 [size =\"33639424\"]\n  1 -> 26 [size =\"33639424\"]\n  1 -> 27 [size =\"33639424\"]\n  2 [size=\"25006080\", alpha=\"0.03\", expect_size=\"10002432\"] \n  2 -> 18 [size =\"10002432\"]\n  2 -> 22 [size =\"10002432\"]\n  2 -> 23 [size =\"10002432\"]\n  2 -> 27 [size =\"10002432\"]\n  3 [size=\"35015680\", alpha=\"0.06\", expect_size=\"14006272\"] \n  3 -> 17 [size =\"14006272\"]\n  3 -> 19 [size =\"14006272\"]\n  3 -> 22 [size =\"14006272\"]\n  3 -> 23 [size =\"14006272\"]\n  3 -> 24 [size =\"14006272\"]\n  3 -> 26 [size =\"14006272\"]\n  3 -> 27 [size =\"14006272\"]\n  4 [size=\"77189120\", alpha=\"0.14\", expect_size=\"30875648\"] \n  4 -> 16 [size =\"30875648\"]\n  4 -> 17 [size =\"30875648\"]\n  4 -> 20 [size =\"30875648\"]\n  4 -> 25 [size =\"30875648\"]\n  4 -> 27 [size =\"30875648\"]\n  5 [size=\"123832320\", alpha=\"0.01\", expect_size=\"49532928\"] \n  5 -> 17 [size =\"49532928\"]\n  5 -> 20 [size =\"49532928\"]\n  5 -> 21 [size =\"49532928\"]\n  5 -> 27 [size =\"49532928\"]\n  6 [size=\"112942080\", alpha=\"0.15\", expect_size=\"45176832\"] \n  6 -> 16 [size =\"45176832\"]\n  6 -> 17 [size =\"45176832\"]\n  6 -> 24 [size =\"45176832\"]\n  7 [size=\"37731840\", alpha=\"0.15\", expect_size=\"15092736\"] \n  7 -> 24 [size =\"15092736\"]\n  8 [size=\"25446400\", alpha=\"0.08\", expect_size=\"10178560\"] \n  8 -> 19 [size =\"10178560\"]\n  8 -> 20 [size =\"10178560\"]\n  8 -> 21 [size =\"10178560\"]\n  8 -> 23 [size =\"10178560\"]\n  8 -> 24 [size =\"10178560\"]\n  8 -> 25 [size =\"10178560\"]\n  8 -> 27 [size =\"10178560\"]\n  9 [size=\"69125120\", alpha=\"0.10\", expect_size=\"27650048\"] \n  9 -> 17 [size =\"27650048\"]\n  9 -> 19 [size =\"27650048\"]\n  9 -> 23 [size =\"27650048\"]\n  9 -> 23 [size =\"27650048\"]\n  9 -> 24 [size =\"27650048\"]\n  9 -> 25 [size =\"27650048\"]\n  9 -> 27 [size =\"27650048\"]\n  10 [size=\"113410560\", alpha=\"0.01\", expect_size=\"45364224\"] \n  10 -> 17 [size =\"45364224\"]\n  10 -> 19 [size =\"45364224\"]\n  10 -> 24 [size =\"45364224\"]\n  10 -> 25 [size =\"45364224\"]\n  10 -> 27 [size =\"45364224\"]\n  11 [size=\"50391040\", alpha=\"0.20\", expect_size=\"20156416\"] \n  11 -> 16 [size =\"20156416\"]\n  11 -> 17 [size =\"20156416\"]\n  11 -> 22 [size =\"20156416\"]\n  11 -> 24 [size =\"20156416\"]\n  11 -> 25 [size =\"20156416\"]\n  11 -> 27 [size =\"20156416\"]\n  12 [size=\"111311360\", alpha=\"0.01\", expect_size=\"44524544\"] \n  12 -> 16 [size =\"44524544\"]\n  12 -> 17 [size =\"44524544\"]\n  12 -> 18 [size =\"44524544\"]\n  12 -> 23 [size =\"44524544\"]\n  12 -> 24 [size =\"44524544\"]\n  13 [size=\"130424320\", alpha=\"0.09\", expect_size=\"52169728\"] \n  13 -> 16 [size =\"52169728\"]\n  13 -> 17 [size =\"52169728\"]\n  13 -> 18 [size =\"52169728\"]\n  13 -> 24 [size =\"52169728\"]\n  13 -> 24 [size =\"52169728\"]\n  13 -> 27 [size =\"52169728\"]\n  14 [size=\"49943040\", alpha=\"0.05\", expect_size=\"19977216\"] \n  14 -> 16 [size =\"19977216\"]\n  14 -> 17 [size =\"19977216\"]\n  14 -> 24 [size =\"19977216\"]\n  14 -> 24 [size =\"19977216\"]\n  14 -> 26 [size =\"19977216\"]\n  15 [size=\"130055680\", alpha=\"0.10\", expect_size=\"52022272\"] \n  15 -> 16 [size =\"52022272\"]\n  15 -> 17 [size =\"52022272\"]\n  15 -> 18 [size =\"52022272\"]\n  15 -> 20 [size =\"52022272\"]\n  15 -> 23 [size =\"52022272\"]\n  15 -> 26 [size =\"52022272\"]\n  15 -> 27 [size =\"52022272\"]\n  16 [size=\"16640000\", alpha=\"0.07\", expect_size=\"6656000\"] \n  16 -> 28 [size =\"6656000\"]\n  16 -> 29 [size =\"6656000\"]\n  16 -> 32 [size =\"6656000\"]\n  16 -> 32 [size =\"6656000\"]\n  16 -> 35 [size =\"6656000\"]\n  16 -> 35 [size =\"6656000\"]\n  17 [size=\"107115520\", alpha=\"0.02\", expect_size=\"42846208\"] \n  17 -> 29 [size =\"42846208\"]\n  17 -> 32 [size =\"42846208\"]\n  17 -> 33 [size =\"42846208\"]\n  17 -> 34 [size =\"42846208\"]\n  17 -> 35 [size =\"42846208\"]\n  18 [size=\"75461120\", alpha=\"0.11\", expect_size=\"30184448\"] \n  18 -> 28 [size =\"30184448\"]\n  18 -> 29 [size =\"30184448\"]\n  18 -> 34 [size =\"30184448\"]\n  18 -> 34 [size =\"30184448\"]\n  18 -> 35 [size =\"30184448\"]\n  19 [size=\"125263360\", alpha=\"0.16\", expect_size=\"50105344\"] \n  19 -> 29 [size =\"50105344\"]\n  19 -> 32 [size =\"50105344\"]\n  19 -> 33 [size =\"50105344\"]\n  19 -> 35 [size =\"50105344\"]\n  20 [size=\"63833600\", alpha=\"0.01\", expect_size=\"25533440\"] \n  20 -> 29 [size =\"25533440\"]\n  20 -> 31 [size =\"25533440\"]\n  20 -> 33 [size =\"25533440\"]\n  20 -> 34 [size =\"25533440\"]\n  20 -> 35 [size =\"25533440\"]\n  21 [size=\"68474880\", alpha=\"0.17\", expect_size=\"27389952\"] \n  21 -> 32 [size =\"27389952\"]\n  21 -> 34 [size =\"27389952\"]\n  22 [size=\"67107840\", alpha=\"0.15\", expect_size=\"26843136\"] \n  22 -> 28 [size =\"26843136\"]\n  22 -> 34 [size =\"26843136\"]\n  22 -> 35 [size =\"26843136\"]\n  23 [size=\"74268160\", alpha=\"0.18\", expect_size=\"29707264\"] \n  23 -> 31 [size =\"29707264\"]\n  23 -> 32 [size =\"29707264\"]\n  23 -> 33 [size =\"29707264\"]\n  23 -> 34 [size =\"29707264\"]\n  24 [size=\"127936000\", alpha=\"0.11\", expect_size=\"51174400\"] \n  24 -> 29 [size =\"51174400\"]\n  24 -> 32 [size =\"51174400\"]\n  24 -> 33 [size =\"51174400\"]\n  24 -> 35 [size =\"51174400\"]\n  25 [size=\"36769280\", alpha=\"0.02\", expect_size=\"14707712\"] \n  25 -> 28 [size =\"14707712\"]\n  25 -> 32 [size =\"14707712\"]\n  25 -> 33 [size =\"14707712\"]\n  25 -> 34 [size =\"14707712\"]\n  26 [size=\"95024640\", alpha=\"0.11\", expect_size=\"38009856\"] \n  26 -> 28 [size =\"38009856\"]\n  26 -> 29 [size =\"38009856\"]\n  26 -> 30 [size =\"38009856\"]\n  26 -> 31 [size =\"38009856\"]\n  26 -> 32 [size =\"38009856\"]\n  26 -> 34 [size =\"38009856\"]\n  27 [size=\"20408320\", alpha=\"0.04\", expect_size=\"8163328\"] \n  27 -> 28 [size =\"8163328\"]\n  27 -> 29 [size =\"8163328\"]\n  27 -> 31 [size =\"8163328\"]\n  27 -> 32 [size =\"8163328\"]\n  27 -> 33 [size =\"8163328\"]\n  27 -> 35 [size =\"8163328\"]\n  28 [size=\"31262720\", alpha=\"0.19\", expect_size=\"12505088\"] \n  29 [size=\"94423040\", alpha=\"0.03\", expect_size=\"37769216\"] \n  30 [size=\"71900160\", alpha=\"0.05\", expect_size=\"28760064\"] \n  31 [size=\"75130880\", alpha=\"0.13\", expect_size=\"30052352\"] \n  32 [size=\"57144320\", alpha=\"0.17\", expect_size=\"22857728\"] \n  33 [size=\"29839360\", alpha=\"0.01\", expect_size=\"11935744\"] \n  34 [size=\"15127040\", alpha=\"0.12\", expect_size=\"6050816\"] \n  35 [size=\"77091840\", alpha=\"0.02\", expect_size=\"30836736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122221227\", alpha=\"0.07\", expect_size=\"36666368\"] \n  1 -> 8 [size =\"36666368\"]\n  1 -> 9 [size =\"36666368\"]\n  2 [size=\"83145387\", alpha=\"0.17\", expect_size=\"24943616\"] \n  2 -> 6 [size =\"24943616\"]\n  2 -> 7 [size =\"24943616\"]\n  3 [size=\"77390507\", alpha=\"0.17\", expect_size=\"23217152\"] \n  3 -> 6 [size =\"23217152\"]\n  3 -> 7 [size =\"23217152\"]\n  3 -> 10 [size =\"23217152\"]\n  3 -> 11 [size =\"23217152\"]\n  4 [size=\"117531307\", alpha=\"0.05\", expect_size=\"35259392\"] \n  4 -> 7 [size =\"35259392\"]\n  4 -> 8 [size =\"35259392\"]\n  4 -> 11 [size =\"35259392\"]\n  5 [size=\"128351573\", alpha=\"0.17\", expect_size=\"38505472\"] \n  5 -> 8 [size =\"38505472\"]\n  5 -> 9 [size =\"38505472\"]\n  6 [size=\"39410347\", alpha=\"0.12\", expect_size=\"11823104\"] \n  6 -> 12 [size =\"11823104\"]\n  6 -> 14 [size =\"11823104\"]\n  6 -> 15 [size =\"11823104\"]\n  7 [size=\"161146880\", alpha=\"0.08\", expect_size=\"48344064\"] \n  7 -> 15 [size =\"48344064\"]\n  8 [size=\"170475520\", alpha=\"0.12\", expect_size=\"51142656\"] \n  8 -> 16 [size =\"51142656\"]\n  9 [size=\"117722453\", alpha=\"0.04\", expect_size=\"35316736\"] \n  9 -> 14 [size =\"35316736\"]\n  9 -> 16 [size =\"35316736\"]\n  10 [size=\"77769387\", alpha=\"0.03\", expect_size=\"23330816\"] \n  11 [size=\"129334613\", alpha=\"0.09\", expect_size=\"38800384\"] \n  11 -> 13 [size =\"38800384\"]\n  12 [size=\"28852907\", alpha=\"0.11\", expect_size=\"8655872\"] \n  12 -> 17 [size =\"8655872\"]\n  12 -> 19 [size =\"8655872\"]\n  13 [size=\"163068587\", alpha=\"0.05\", expect_size=\"48920576\"] \n  13 -> 17 [size =\"48920576\"]\n  13 -> 18 [size =\"48920576\"]\n  13 -> 20 [size =\"48920576\"]\n  14 [size=\"142161920\", alpha=\"0.06\", expect_size=\"42648576\"] \n  14 -> 17 [size =\"42648576\"]\n  14 -> 21 [size =\"42648576\"]\n  15 [size=\"23261867\", alpha=\"0.05\", expect_size=\"6978560\"] \n  15 -> 19 [size =\"6978560\"]\n  16 [size=\"153961813\", alpha=\"0.05\", expect_size=\"46188544\"] \n  16 -> 18 [size =\"46188544\"]\n  16 -> 19 [size =\"46188544\"]\n  16 -> 20 [size =\"46188544\"]\n  17 [size=\"87985493\", alpha=\"0.12\", expect_size=\"26395648\"] \n  17 -> 23 [size =\"26395648\"]\n  18 [size=\"148705280\", alpha=\"0.14\", expect_size=\"44611584\"] \n  18 -> 22 [size =\"44611584\"]\n  19 [size=\"86824960\", alpha=\"0.15\", expect_size=\"26047488\"] \n  19 -> 22 [size =\"26047488\"]\n  19 -> 25 [size =\"26047488\"]\n  20 [size=\"115503787\", alpha=\"0.01\", expect_size=\"34651136\"] \n  20 -> 22 [size =\"34651136\"]\n  20 -> 24 [size =\"34651136\"]\n  21 [size=\"138448213\", alpha=\"0.01\", expect_size=\"41534464\"] \n  21 -> 24 [size =\"41534464\"]\n  22 [size=\"48052907\", alpha=\"0.10\", expect_size=\"14415872\"] \n  22 -> 26 [size =\"14415872\"]\n  22 -> 27 [size =\"14415872\"]\n  22 -> 28 [size =\"14415872\"]\n  23 [size=\"138373120\", alpha=\"0.06\", expect_size=\"41511936\"] \n  23 -> 29 [size =\"41511936\"]\n  24 [size=\"19650560\", alpha=\"0.14\", expect_size=\"5895168\"] \n  24 -> 27 [size =\"5895168\"]\n  24 -> 28 [size =\"5895168\"]\n  24 -> 29 [size =\"5895168\"]\n  24 -> 30 [size =\"5895168\"]\n  25 [size=\"70331733\", alpha=\"0.17\", expect_size=\"21099520\"] \n  25 -> 30 [size =\"21099520\"]\n  25 -> 31 [size =\"21099520\"]\n  26 [size=\"108922880\", alpha=\"0.03\", expect_size=\"32676864\"] \n  26 -> 33 [size =\"32676864\"]\n  26 -> 35 [size =\"32676864\"]\n  27 [size=\"145493333\", alpha=\"0.06\", expect_size=\"43648000\"] \n  27 -> 32 [size =\"43648000\"]\n  27 -> 34 [size =\"43648000\"]\n  28 [size=\"80906240\", alpha=\"0.10\", expect_size=\"24271872\"] \n  28 -> 32 [size =\"24271872\"]\n  29 [size=\"35891200\", alpha=\"0.06\", expect_size=\"10767360\"] \n  29 -> 32 [size =\"10767360\"]\n  29 -> 34 [size =\"10767360\"]\n  30 [size=\"150254933\", alpha=\"0.09\", expect_size=\"45076480\"] \n  30 -> 34 [size =\"45076480\"]\n  30 -> 35 [size =\"45076480\"]\n  31 [size=\"159791787\", alpha=\"0.07\", expect_size=\"47937536\"] \n  31 -> 33 [size =\"47937536\"]\n  31 -> 35 [size =\"47937536\"]\n  32 [size=\"169246720\", alpha=\"0.07\", expect_size=\"50774016\"] \n  33 [size=\"87002453\", alpha=\"0.05\", expect_size=\"26100736\"] \n  34 [size=\"130263040\", alpha=\"0.18\", expect_size=\"39078912\"] \n  35 [size=\"84507307\", alpha=\"0.13\", expect_size=\"25352192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141335893\", alpha=\"0.03\", expect_size=\"42400768\"] \n  2 [size=\"137867947\", alpha=\"0.01\", expect_size=\"41360384\"] \n  2 -> 3 [size =\"41360384\"]\n  3 [size=\"172093440\", alpha=\"0.09\", expect_size=\"51628032\"] \n  3 -> 4 [size =\"51628032\"]\n  3 -> 5 [size =\"51628032\"]\n  4 [size=\"123518293\", alpha=\"0.20\", expect_size=\"37055488\"] \n  4 -> 6 [size =\"37055488\"]\n  5 [size=\"85643947\", alpha=\"0.10\", expect_size=\"25693184\"] \n  5 -> 6 [size =\"25693184\"]\n  6 [size=\"154839040\", alpha=\"0.03\", expect_size=\"46451712\"] \n  6 -> 7 [size =\"46451712\"]\n  6 -> 8 [size =\"46451712\"]\n  7 [size=\"74345813\", alpha=\"0.19\", expect_size=\"22303744\"] \n  8 [size=\"74878293\", alpha=\"0.02\", expect_size=\"22463488\"] \n  8 -> 9 [size =\"22463488\"]\n  9 [size=\"80046080\", alpha=\"0.10\", expect_size=\"24013824\"] \n  9 -> 10 [size =\"24013824\"]\n  9 -> 11 [size =\"24013824\"]\n  10 [size=\"87828480\", alpha=\"0.11\", expect_size=\"26348544\"] \n  10 -> 12 [size =\"26348544\"]\n  10 -> 13 [size =\"26348544\"]\n  11 [size=\"68406613\", alpha=\"0.17\", expect_size=\"20521984\"] \n  11 -> 12 [size =\"20521984\"]\n  12 [size=\"93928107\", alpha=\"0.14\", expect_size=\"28178432\"] \n  12 -> 14 [size =\"28178432\"]\n  13 [size=\"100761600\", alpha=\"0.04\", expect_size=\"30228480\"] \n  13 -> 14 [size =\"30228480\"]\n  14 [size=\"168294400\", alpha=\"0.03\", expect_size=\"50488320\"] \n  14 -> 15 [size =\"50488320\"]\n  14 -> 16 [size =\"50488320\"]\n  15 [size=\"164966400\", alpha=\"0.09\", expect_size=\"49489920\"] \n  15 -> 17 [size =\"49489920\"]\n  16 [size=\"87722667\", alpha=\"0.05\", expect_size=\"26316800\"] \n  17 [size=\"113575253\", alpha=\"0.14\", expect_size=\"34072576\"] \n  17 -> 18 [size =\"34072576\"]\n  18 [size=\"105755307\", alpha=\"0.06\", expect_size=\"31726592\"] \n  18 -> 19 [size =\"31726592\"]\n  18 -> 20 [size =\"31726592\"]\n  19 [size=\"118425600\", alpha=\"0.19\", expect_size=\"35527680\"] \n  20 [size=\"42956800\", alpha=\"0.16\", expect_size=\"12887040\"] \n  20 -> 21 [size =\"12887040\"]\n  21 [size=\"131136853\", alpha=\"0.10\", expect_size=\"39341056\"] \n  21 -> 22 [size =\"39341056\"]\n  21 -> 23 [size =\"39341056\"]\n  22 [size=\"105847467\", alpha=\"0.19\", expect_size=\"31754240\"] \n  22 -> 24 [size =\"31754240\"]\n  23 [size=\"55596373\", alpha=\"0.07\", expect_size=\"16678912\"] \n  23 -> 24 [size =\"16678912\"]\n  23 -> 25 [size =\"16678912\"]\n  24 [size=\"87739733\", alpha=\"0.09\", expect_size=\"26321920\"] \n  24 -> 26 [size =\"26321920\"]\n  25 [size=\"109042347\", alpha=\"0.19\", expect_size=\"32712704\"] \n  25 -> 26 [size =\"32712704\"]\n  26 [size=\"24060587\", alpha=\"0.08\", expect_size=\"7218176\"] \n  26 -> 27 [size =\"7218176\"]\n  27 [size=\"64996693\", alpha=\"0.03\", expect_size=\"19499008\"] \n  27 -> 28 [size =\"19499008\"]\n  28 [size=\"20903253\", alpha=\"0.05\", expect_size=\"6270976\"] \n  28 -> 29 [size =\"6270976\"]\n  29 [size=\"66597547\", alpha=\"0.16\", expect_size=\"19979264\"] \n  29 -> 30 [size =\"19979264\"]\n  30 [size=\"56627200\", alpha=\"0.15\", expect_size=\"16988160\"] \n  30 -> 31 [size =\"16988160\"]\n  31 [size=\"28487680\", alpha=\"0.01\", expect_size=\"8546304\"] \n  31 -> 32 [size =\"8546304\"]\n  32 [size=\"106045440\", alpha=\"0.17\", expect_size=\"31813632\"] \n  32 -> 33 [size =\"31813632\"]\n  33 [size=\"95119360\", alpha=\"0.03\", expect_size=\"28535808\"] \n  33 -> 34 [size =\"28535808\"]\n  34 [size=\"150330027\", alpha=\"0.09\", expect_size=\"45099008\"] \n  34 -> 35 [size =\"45099008\"]\n  35 [size=\"63150080\", alpha=\"0.13\", expect_size=\"18945024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47022080\", alpha=\"0.01\", expect_size=\"18808832\"] \n  1 -> 29 [size =\"18808832\"]\n  1 -> 30 [size =\"18808832\"]\n  1 -> 31 [size =\"18808832\"]\n  1 -> 33 [size =\"18808832\"]\n  2 [size=\"113182720\", alpha=\"0.07\", expect_size=\"45273088\"] \n  2 -> 28 [size =\"45273088\"]\n  2 -> 29 [size =\"45273088\"]\n  2 -> 33 [size =\"45273088\"]\n  2 -> 35 [size =\"45273088\"]\n  3 [size=\"72483840\", alpha=\"0.19\", expect_size=\"28993536\"] \n  3 -> 32 [size =\"28993536\"]\n  3 -> 33 [size =\"28993536\"]\n  3 -> 33 [size =\"28993536\"]\n  4 [size=\"107376640\", alpha=\"0.02\", expect_size=\"42950656\"] \n  4 -> 28 [size =\"42950656\"]\n  5 [size=\"88686080\", alpha=\"0.17\", expect_size=\"35474432\"] \n  5 -> 28 [size =\"35474432\"]\n  5 -> 30 [size =\"35474432\"]\n  5 -> 33 [size =\"35474432\"]\n  6 [size=\"88412160\", alpha=\"0.07\", expect_size=\"35364864\"] \n  6 -> 26 [size =\"35364864\"]\n  6 -> 28 [size =\"35364864\"]\n  6 -> 30 [size =\"35364864\"]\n  6 -> 33 [size =\"35364864\"]\n  7 [size=\"97804800\", alpha=\"0.19\", expect_size=\"39121920\"] \n  7 -> 27 [size =\"39121920\"]\n  7 -> 30 [size =\"39121920\"]\n  7 -> 31 [size =\"39121920\"]\n  8 [size=\"128519680\", alpha=\"0.07\", expect_size=\"51407872\"] \n  8 -> 27 [size =\"51407872\"]\n  8 -> 29 [size =\"51407872\"]\n  8 -> 33 [size =\"51407872\"]\n  8 -> 35 [size =\"51407872\"]\n  9 [size=\"37217280\", alpha=\"0.07\", expect_size=\"14886912\"] \n  9 -> 26 [size =\"14886912\"]\n  9 -> 27 [size =\"14886912\"]\n  9 -> 28 [size =\"14886912\"]\n  9 -> 32 [size =\"14886912\"]\n  9 -> 33 [size =\"14886912\"]\n  10 [size=\"118115840\", alpha=\"0.19\", expect_size=\"47246336\"] \n  10 -> 26 [size =\"47246336\"]\n  10 -> 28 [size =\"47246336\"]\n  10 -> 28 [size =\"47246336\"]\n  10 -> 33 [size =\"47246336\"]\n  10 -> 35 [size =\"47246336\"]\n  11 [size=\"123251200\", alpha=\"0.20\", expect_size=\"49300480\"] \n  11 -> 26 [size =\"49300480\"]\n  11 -> 28 [size =\"49300480\"]\n  11 -> 30 [size =\"49300480\"]\n  11 -> 33 [size =\"49300480\"]\n  11 -> 35 [size =\"49300480\"]\n  12 [size=\"130224640\", alpha=\"0.15\", expect_size=\"52089856\"] \n  12 -> 26 [size =\"52089856\"]\n  12 -> 30 [size =\"52089856\"]\n  12 -> 32 [size =\"52089856\"]\n  12 -> 34 [size =\"52089856\"]\n  13 [size=\"53465600\", alpha=\"0.09\", expect_size=\"21386240\"] \n  13 -> 26 [size =\"21386240\"]\n  13 -> 30 [size =\"21386240\"]\n  13 -> 32 [size =\"21386240\"]\n  14 [size=\"48655360\", alpha=\"0.08\", expect_size=\"19462144\"] \n  14 -> 35 [size =\"19462144\"]\n  15 [size=\"59566080\", alpha=\"0.02\", expect_size=\"23826432\"] \n  15 -> 26 [size =\"23826432\"]\n  15 -> 28 [size =\"23826432\"]\n  15 -> 33 [size =\"23826432\"]\n  16 [size=\"43965440\", alpha=\"0.13\", expect_size=\"17586176\"] \n  16 -> 26 [size =\"17586176\"]\n  16 -> 33 [size =\"17586176\"]\n  17 [size=\"86238720\", alpha=\"0.14\", expect_size=\"34495488\"] \n  17 -> 26 [size =\"34495488\"]\n  17 -> 30 [size =\"34495488\"]\n  17 -> 33 [size =\"34495488\"]\n  18 [size=\"81246720\", alpha=\"0.04\", expect_size=\"32498688\"] \n  18 -> 26 [size =\"32498688\"]\n  18 -> 33 [size =\"32498688\"]\n  18 -> 35 [size =\"32498688\"]\n  19 [size=\"121195520\", alpha=\"0.17\", expect_size=\"48478208\"] \n  19 -> 26 [size =\"48478208\"]\n  19 -> 27 [size =\"48478208\"]\n  19 -> 30 [size =\"48478208\"]\n  20 [size=\"44751360\", alpha=\"0.19\", expect_size=\"17900544\"] \n  20 -> 28 [size =\"17900544\"]\n  20 -> 30 [size =\"17900544\"]\n  20 -> 31 [size =\"17900544\"]\n  20 -> 33 [size =\"17900544\"]\n  21 [size=\"38993920\", alpha=\"0.06\", expect_size=\"15597568\"] \n  21 -> 26 [size =\"15597568\"]\n  21 -> 28 [size =\"15597568\"]\n  21 -> 29 [size =\"15597568\"]\n  21 -> 31 [size =\"15597568\"]\n  21 -> 32 [size =\"15597568\"]\n  21 -> 33 [size =\"15597568\"]\n  22 [size=\"36492800\", alpha=\"0.10\", expect_size=\"14597120\"] \n  22 -> 28 [size =\"14597120\"]\n  22 -> 29 [size =\"14597120\"]\n  22 -> 31 [size =\"14597120\"]\n  23 [size=\"125209600\", alpha=\"0.05\", expect_size=\"50083840\"] \n  23 -> 27 [size =\"50083840\"]\n  23 -> 28 [size =\"50083840\"]\n  23 -> 30 [size =\"50083840\"]\n  24 [size=\"60730880\", alpha=\"0.15\", expect_size=\"24292352\"] \n  24 -> 28 [size =\"24292352\"]\n  24 -> 28 [size =\"24292352\"]\n  24 -> 29 [size =\"24292352\"]\n  25 [size=\"109527040\", alpha=\"0.18\", expect_size=\"43810816\"] \n  25 -> 26 [size =\"43810816\"]\n  25 -> 28 [size =\"43810816\"]\n  25 -> 30 [size =\"43810816\"]\n  25 -> 33 [size =\"43810816\"]\n  25 -> 35 [size =\"43810816\"]\n  26 [size=\"123829760\", alpha=\"0.14\", expect_size=\"49531904\"] \n  27 [size=\"81433600\", alpha=\"0.04\", expect_size=\"32573440\"] \n  28 [size=\"45050880\", alpha=\"0.14\", expect_size=\"18020352\"] \n  29 [size=\"67957760\", alpha=\"0.08\", expect_size=\"27183104\"] \n  30 [size=\"52244480\", alpha=\"0.20\", expect_size=\"20897792\"] \n  31 [size=\"45521920\", alpha=\"0.10\", expect_size=\"18208768\"] \n  32 [size=\"81707520\", alpha=\"0.00\", expect_size=\"32683008\"] \n  33 [size=\"24947200\", alpha=\"0.17\", expect_size=\"9978880\"] \n  34 [size=\"52584960\", alpha=\"0.00\", expect_size=\"21033984\"] \n  35 [size=\"22960640\", alpha=\"0.11\", expect_size=\"9184256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94261248\", alpha=\"0.08\", expect_size=\"47130624\"] \n  1 -> 22 [size =\"47130624\"]\n  1 -> 26 [size =\"47130624\"]\n  1 -> 27 [size =\"47130624\"]\n  2 [size=\"84465664\", alpha=\"0.19\", expect_size=\"42232832\"] \n  2 -> 23 [size =\"42232832\"]\n  2 -> 32 [size =\"42232832\"]\n  2 -> 34 [size =\"42232832\"]\n  3 [size=\"20586496\", alpha=\"0.09\", expect_size=\"10293248\"] \n  3 -> 34 [size =\"10293248\"]\n  4 [size=\"68442112\", alpha=\"0.04\", expect_size=\"34221056\"] \n  4 -> 23 [size =\"34221056\"]\n  4 -> 27 [size =\"34221056\"]\n  4 -> 28 [size =\"34221056\"]\n  4 -> 34 [size =\"34221056\"]\n  5 [size=\"68362240\", alpha=\"0.04\", expect_size=\"34181120\"] \n  5 -> 23 [size =\"34181120\"]\n  5 -> 27 [size =\"34181120\"]\n  5 -> 35 [size =\"34181120\"]\n  6 [size=\"25020416\", alpha=\"0.03\", expect_size=\"12510208\"] \n  6 -> 22 [size =\"12510208\"]\n  6 -> 23 [size =\"12510208\"]\n  6 -> 30 [size =\"12510208\"]\n  6 -> 31 [size =\"12510208\"]\n  6 -> 34 [size =\"12510208\"]\n  7 [size=\"43241472\", alpha=\"0.17\", expect_size=\"21620736\"] \n  7 -> 22 [size =\"21620736\"]\n  7 -> 23 [size =\"21620736\"]\n  7 -> 28 [size =\"21620736\"]\n  7 -> 35 [size =\"21620736\"]\n  8 [size=\"29511680\", alpha=\"0.15\", expect_size=\"14755840\"] \n  8 -> 27 [size =\"14755840\"]\n  8 -> 28 [size =\"14755840\"]\n  8 -> 30 [size =\"14755840\"]\n  8 -> 31 [size =\"14755840\"]\n  9 [size=\"19998720\", alpha=\"0.10\", expect_size=\"9999360\"] \n  9 -> 22 [size =\"9999360\"]\n  9 -> 23 [size =\"9999360\"]\n  9 -> 27 [size =\"9999360\"]\n  9 -> 28 [size =\"9999360\"]\n  9 -> 31 [size =\"9999360\"]\n  9 -> 34 [size =\"9999360\"]\n  10 [size=\"103888896\", alpha=\"0.16\", expect_size=\"51944448\"] \n  10 -> 22 [size =\"51944448\"]\n  10 -> 23 [size =\"51944448\"]\n  10 -> 24 [size =\"51944448\"]\n  10 -> 28 [size =\"51944448\"]\n  10 -> 29 [size =\"51944448\"]\n  10 -> 31 [size =\"51944448\"]\n  10 -> 34 [size =\"51944448\"]\n  10 -> 35 [size =\"51944448\"]\n  11 [size=\"91013120\", alpha=\"0.10\", expect_size=\"45506560\"] \n  11 -> 24 [size =\"45506560\"]\n  11 -> 26 [size =\"45506560\"]\n  11 -> 32 [size =\"45506560\"]\n  11 -> 34 [size =\"45506560\"]\n  11 -> 35 [size =\"45506560\"]\n  12 [size=\"36255744\", alpha=\"0.09\", expect_size=\"18127872\"] \n  12 -> 26 [size =\"18127872\"]\n  12 -> 30 [size =\"18127872\"]\n  12 -> 31 [size =\"18127872\"]\n  12 -> 32 [size =\"18127872\"]\n  12 -> 35 [size =\"18127872\"]\n  13 [size=\"29689856\", alpha=\"0.17\", expect_size=\"14844928\"] \n  13 -> 26 [size =\"14844928\"]\n  13 -> 31 [size =\"14844928\"]\n  13 -> 35 [size =\"14844928\"]\n  14 [size=\"73795584\", alpha=\"0.02\", expect_size=\"36897792\"] \n  14 -> 23 [size =\"36897792\"]\n  14 -> 26 [size =\"36897792\"]\n  14 -> 27 [size =\"36897792\"]\n  14 -> 28 [size =\"36897792\"]\n  14 -> 29 [size =\"36897792\"]\n  14 -> 31 [size =\"36897792\"]\n  14 -> 32 [size =\"36897792\"]\n  14 -> 35 [size =\"36897792\"]\n  15 [size=\"91072512\", alpha=\"0.04\", expect_size=\"45536256\"] \n  15 -> 25 [size =\"45536256\"]\n  15 -> 26 [size =\"45536256\"]\n  15 -> 27 [size =\"45536256\"]\n  15 -> 28 [size =\"45536256\"]\n  16 [size=\"17031168\", alpha=\"0.12\", expect_size=\"8515584\"] \n  16 -> 23 [size =\"8515584\"]\n  16 -> 26 [size =\"8515584\"]\n  16 -> 31 [size =\"8515584\"]\n  16 -> 33 [size =\"8515584\"]\n  16 -> 35 [size =\"8515584\"]\n  17 [size=\"32458752\", alpha=\"0.14\", expect_size=\"16229376\"] \n  17 -> 30 [size =\"16229376\"]\n  17 -> 31 [size =\"16229376\"]\n  18 [size=\"17473536\", alpha=\"0.03\", expect_size=\"8736768\"] \n  18 -> 22 [size =\"8736768\"]\n  18 -> 35 [size =\"8736768\"]\n  19 [size=\"90230784\", alpha=\"0.04\", expect_size=\"45115392\"] \n  19 -> 22 [size =\"45115392\"]\n  19 -> 23 [size =\"45115392\"]\n  19 -> 26 [size =\"45115392\"]\n  19 -> 29 [size =\"45115392\"]\n  19 -> 30 [size =\"45115392\"]\n  19 -> 31 [size =\"45115392\"]\n  19 -> 32 [size =\"45115392\"]\n  19 -> 35 [size =\"45115392\"]\n  20 [size=\"43591680\", alpha=\"0.10\", expect_size=\"21795840\"] \n  20 -> 23 [size =\"21795840\"]\n  20 -> 26 [size =\"21795840\"]\n  20 -> 28 [size =\"21795840\"]\n  20 -> 31 [size =\"21795840\"]\n  20 -> 32 [size =\"21795840\"]\n  20 -> 34 [size =\"21795840\"]\n  20 -> 35 [size =\"21795840\"]\n  21 [size=\"26222592\", alpha=\"0.13\", expect_size=\"13111296\"] \n  21 -> 22 [size =\"13111296\"]\n  21 -> 26 [size =\"13111296\"]\n  21 -> 32 [size =\"13111296\"]\n  21 -> 34 [size =\"13111296\"]\n  21 -> 35 [size =\"13111296\"]\n  22 [size=\"71231488\", alpha=\"0.12\", expect_size=\"35615744\"] \n  23 [size=\"20672512\", alpha=\"0.13\", expect_size=\"10336256\"] \n  24 [size=\"98582528\", alpha=\"0.07\", expect_size=\"49291264\"] \n  25 [size=\"11530240\", alpha=\"0.13\", expect_size=\"5765120\"] \n  26 [size=\"29618176\", alpha=\"0.01\", expect_size=\"14809088\"] \n  27 [size=\"84609024\", alpha=\"0.17\", expect_size=\"42304512\"] \n  28 [size=\"58640384\", alpha=\"0.17\", expect_size=\"29320192\"] \n  29 [size=\"74348544\", alpha=\"0.19\", expect_size=\"37174272\"] \n  30 [size=\"93825024\", alpha=\"0.00\", expect_size=\"46912512\"] \n  31 [size=\"45391872\", alpha=\"0.19\", expect_size=\"22695936\"] \n  32 [size=\"12824576\", alpha=\"0.03\", expect_size=\"6412288\"] \n  33 [size=\"70105088\", alpha=\"0.11\", expect_size=\"35052544\"] \n  34 [size=\"38590464\", alpha=\"0.13\", expect_size=\"19295232\"] \n  35 [size=\"70610944\", alpha=\"0.12\", expect_size=\"35305472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55275520\", alpha=\"0.05\", expect_size=\"27637760\"] \n  1 -> 2 [size =\"27637760\"]\n  2 [size=\"63076352\", alpha=\"0.05\", expect_size=\"31538176\"] \n  2 -> 3 [size =\"31538176\"]\n  2 -> 4 [size =\"31538176\"]\n  3 [size=\"72939520\", alpha=\"0.05\", expect_size=\"36469760\"] \n  3 -> 5 [size =\"36469760\"]\n  4 [size=\"91682816\", alpha=\"0.12\", expect_size=\"45841408\"] \n  4 -> 5 [size =\"45841408\"]\n  5 [size=\"25485312\", alpha=\"0.06\", expect_size=\"12742656\"] \n  5 -> 6 [size =\"12742656\"]\n  6 [size=\"28631040\", alpha=\"0.07\", expect_size=\"14315520\"] \n  6 -> 7 [size =\"14315520\"]\n  6 -> 8 [size =\"14315520\"]\n  7 [size=\"28792832\", alpha=\"0.18\", expect_size=\"14396416\"] \n  8 [size=\"57587712\", alpha=\"0.19\", expect_size=\"28793856\"] \n  8 -> 9 [size =\"28793856\"]\n  8 -> 10 [size =\"28793856\"]\n  9 [size=\"19918848\", alpha=\"0.16\", expect_size=\"9959424\"] \n  9 -> 11 [size =\"9959424\"]\n  10 [size=\"21211136\", alpha=\"0.11\", expect_size=\"10605568\"] \n  10 -> 11 [size =\"10605568\"]\n  11 [size=\"94689280\", alpha=\"0.10\", expect_size=\"47344640\"] \n  11 -> 12 [size =\"47344640\"]\n  12 [size=\"25563136\", alpha=\"0.09\", expect_size=\"12781568\"] \n  12 -> 13 [size =\"12781568\"]\n  13 [size=\"47845376\", alpha=\"0.00\", expect_size=\"23922688\"] \n  13 -> 14 [size =\"23922688\"]\n  14 [size=\"73478144\", alpha=\"0.02\", expect_size=\"36739072\"] \n  14 -> 15 [size =\"36739072\"]\n  14 -> 16 [size =\"36739072\"]\n  15 [size=\"34131968\", alpha=\"0.18\", expect_size=\"17065984\"] \n  15 -> 17 [size =\"17065984\"]\n  15 -> 18 [size =\"17065984\"]\n  16 [size=\"62867456\", alpha=\"0.18\", expect_size=\"31433728\"] \n  16 -> 17 [size =\"31433728\"]\n  16 -> 18 [size =\"31433728\"]\n  17 [size=\"95852544\", alpha=\"0.18\", expect_size=\"47926272\"] \n  18 [size=\"88406016\", alpha=\"0.10\", expect_size=\"44203008\"] \n  18 -> 19 [size =\"44203008\"]\n  19 [size=\"86007808\", alpha=\"0.16\", expect_size=\"43003904\"] \n  19 -> 20 [size =\"43003904\"]\n  19 -> 21 [size =\"43003904\"]\n  20 [size=\"64864256\", alpha=\"0.12\", expect_size=\"32432128\"] \n  21 [size=\"22863872\", alpha=\"0.18\", expect_size=\"11431936\"] \n  21 -> 22 [size =\"11431936\"]\n  22 [size=\"69052416\", alpha=\"0.15\", expect_size=\"34526208\"] \n  22 -> 23 [size =\"34526208\"]\n  22 -> 24 [size =\"34526208\"]\n  23 [size=\"18116608\", alpha=\"0.05\", expect_size=\"9058304\"] \n  23 -> 26 [size =\"9058304\"]\n  24 [size=\"20004864\", alpha=\"0.12\", expect_size=\"10002432\"] \n  24 -> 25 [size =\"10002432\"]\n  25 [size=\"27699200\", alpha=\"0.03\", expect_size=\"13849600\"] \n  25 -> 28 [size =\"13849600\"]\n  26 [size=\"16283648\", alpha=\"0.17\", expect_size=\"8141824\"] \n  26 -> 27 [size =\"8141824\"]\n  26 -> 28 [size =\"8141824\"]\n  27 [size=\"101881856\", alpha=\"0.16\", expect_size=\"50940928\"] \n  27 -> 29 [size =\"50940928\"]\n  28 [size=\"91297792\", alpha=\"0.04\", expect_size=\"45648896\"] \n  28 -> 29 [size =\"45648896\"]\n  29 [size=\"42508288\", alpha=\"0.14\", expect_size=\"21254144\"] \n  29 -> 30 [size =\"21254144\"]\n  29 -> 31 [size =\"21254144\"]\n  30 [size=\"21946368\", alpha=\"0.07\", expect_size=\"10973184\"] \n  30 -> 32 [size =\"10973184\"]\n  31 [size=\"78446592\", alpha=\"0.17\", expect_size=\"39223296\"] \n  31 -> 33 [size =\"39223296\"]\n  32 [size=\"68052992\", alpha=\"0.11\", expect_size=\"34026496\"] \n  32 -> 34 [size =\"34026496\"]\n  32 -> 35 [size =\"34026496\"]\n  33 [size=\"43360256\", alpha=\"0.12\", expect_size=\"21680128\"] \n  33 -> 34 [size =\"21680128\"]\n  33 -> 35 [size =\"21680128\"]\n  34 [size=\"66822144\", alpha=\"0.07\", expect_size=\"33411072\"] \n  35 [size=\"30892032\", alpha=\"0.07\", expect_size=\"15446016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77357056\", alpha=\"0.17\", expect_size=\"38678528\"] \n  1 -> 3 [size =\"38678528\"]\n  2 [size=\"95422464\", alpha=\"0.15\", expect_size=\"47711232\"] \n  3 [size=\"71628800\", alpha=\"0.17\", expect_size=\"35814400\"] \n  3 -> 4 [size =\"35814400\"]\n  4 [size=\"66557952\", alpha=\"0.01\", expect_size=\"33278976\"] \n  4 -> 5 [size =\"33278976\"]\n  4 -> 6 [size =\"33278976\"]\n  5 [size=\"13424640\", alpha=\"0.07\", expect_size=\"6712320\"] \n  5 -> 7 [size =\"6712320\"]\n  5 -> 8 [size =\"6712320\"]\n  6 [size=\"80095232\", alpha=\"0.13\", expect_size=\"40047616\"] \n  6 -> 7 [size =\"40047616\"]\n  6 -> 8 [size =\"40047616\"]\n  7 [size=\"20137984\", alpha=\"0.14\", expect_size=\"10068992\"] \n  7 -> 9 [size =\"10068992\"]\n  8 [size=\"63670272\", alpha=\"0.09\", expect_size=\"31835136\"] \n  8 -> 9 [size =\"31835136\"]\n  9 [size=\"32909312\", alpha=\"0.12\", expect_size=\"16454656\"] \n  9 -> 10 [size =\"16454656\"]\n  10 [size=\"67917824\", alpha=\"0.06\", expect_size=\"33958912\"] \n  10 -> 11 [size =\"33958912\"]\n  11 [size=\"56016896\", alpha=\"0.05\", expect_size=\"28008448\"] \n  11 -> 12 [size =\"28008448\"]\n  12 [size=\"40742912\", alpha=\"0.00\", expect_size=\"20371456\"] \n  12 -> 13 [size =\"20371456\"]\n  12 -> 14 [size =\"20371456\"]\n  13 [size=\"18415616\", alpha=\"0.16\", expect_size=\"9207808\"] \n  13 -> 16 [size =\"9207808\"]\n  14 [size=\"100038656\", alpha=\"0.05\", expect_size=\"50019328\"] \n  14 -> 15 [size =\"50019328\"]\n  14 -> 16 [size =\"50019328\"]\n  15 [size=\"103430144\", alpha=\"0.16\", expect_size=\"51715072\"] \n  15 -> 17 [size =\"51715072\"]\n  16 [size=\"43937792\", alpha=\"0.18\", expect_size=\"21968896\"] \n  17 [size=\"104060928\", alpha=\"0.07\", expect_size=\"52030464\"] \n  17 -> 18 [size =\"52030464\"]\n  18 [size=\"78004224\", alpha=\"0.06\", expect_size=\"39002112\"] \n  18 -> 19 [size =\"39002112\"]\n  19 [size=\"25507840\", alpha=\"0.11\", expect_size=\"12753920\"] \n  19 -> 20 [size =\"12753920\"]\n  20 [size=\"81287168\", alpha=\"0.10\", expect_size=\"40643584\"] \n  20 -> 21 [size =\"40643584\"]\n  21 [size=\"14331904\", alpha=\"0.02\", expect_size=\"7165952\"] \n  21 -> 22 [size =\"7165952\"]\n  22 [size=\"37625856\", alpha=\"0.13\", expect_size=\"18812928\"] \n  22 -> 23 [size =\"18812928\"]\n  22 -> 24 [size =\"18812928\"]\n  23 [size=\"38778880\", alpha=\"0.17\", expect_size=\"19389440\"] \n  23 -> 25 [size =\"19389440\"]\n  23 -> 26 [size =\"19389440\"]\n  24 [size=\"19726336\", alpha=\"0.12\", expect_size=\"9863168\"] \n  24 -> 25 [size =\"9863168\"]\n  25 [size=\"42895360\", alpha=\"0.09\", expect_size=\"21447680\"] \n  25 -> 27 [size =\"21447680\"]\n  26 [size=\"24993792\", alpha=\"0.19\", expect_size=\"12496896\"] \n  26 -> 27 [size =\"12496896\"]\n  27 [size=\"14481408\", alpha=\"0.12\", expect_size=\"7240704\"] \n  27 -> 28 [size =\"7240704\"]\n  28 [size=\"49119232\", alpha=\"0.17\", expect_size=\"24559616\"] \n  28 -> 29 [size =\"24559616\"]\n  29 [size=\"77371392\", alpha=\"0.06\", expect_size=\"38685696\"] \n  29 -> 30 [size =\"38685696\"]\n  29 -> 31 [size =\"38685696\"]\n  30 [size=\"35553280\", alpha=\"0.07\", expect_size=\"17776640\"] \n  30 -> 32 [size =\"17776640\"]\n  30 -> 33 [size =\"17776640\"]\n  31 [size=\"81238016\", alpha=\"0.18\", expect_size=\"40619008\"] \n  31 -> 32 [size =\"40619008\"]\n  31 -> 33 [size =\"40619008\"]\n  32 [size=\"92549120\", alpha=\"0.15\", expect_size=\"46274560\"] \n  32 -> 34 [size =\"46274560\"]\n  32 -> 35 [size =\"46274560\"]\n  33 [size=\"60055552\", alpha=\"0.14\", expect_size=\"30027776\"] \n  33 -> 34 [size =\"30027776\"]\n  34 [size=\"44898304\", alpha=\"0.12\", expect_size=\"22449152\"] \n  35 [size=\"103153664\", alpha=\"0.09\", expect_size=\"51576832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155258880\", alpha=\"0.02\", expect_size=\"46577664\"] \n  1 -> 5 [size =\"46577664\"]\n  1 -> 7 [size =\"46577664\"]\n  2 [size=\"43840853\", alpha=\"0.01\", expect_size=\"13152256\"] \n  2 -> 6 [size =\"13152256\"]\n  2 -> 8 [size =\"13152256\"]\n  3 [size=\"77407573\", alpha=\"0.15\", expect_size=\"23222272\"] \n  3 -> 8 [size =\"23222272\"]\n  4 [size=\"105748480\", alpha=\"0.06\", expect_size=\"31724544\"] \n  4 -> 7 [size =\"31724544\"]\n  5 [size=\"93040640\", alpha=\"0.09\", expect_size=\"27912192\"] \n  5 -> 11 [size =\"27912192\"]\n  6 [size=\"148712107\", alpha=\"0.07\", expect_size=\"44613632\"] \n  6 -> 13 [size =\"44613632\"]\n  7 [size=\"132403200\", alpha=\"0.18\", expect_size=\"39720960\"] \n  7 -> 12 [size =\"39720960\"]\n  8 [size=\"95685973\", alpha=\"0.05\", expect_size=\"28705792\"] \n  8 -> 9 [size =\"28705792\"]\n  8 -> 10 [size =\"28705792\"]\n  8 -> 13 [size =\"28705792\"]\n  9 [size=\"49585493\", alpha=\"0.05\", expect_size=\"14875648\"] \n  9 -> 14 [size =\"14875648\"]\n  9 -> 16 [size =\"14875648\"]\n  9 -> 17 [size =\"14875648\"]\n  10 [size=\"67324587\", alpha=\"0.09\", expect_size=\"20197376\"] \n  10 -> 14 [size =\"20197376\"]\n  10 -> 16 [size =\"20197376\"]\n  11 [size=\"137263787\", alpha=\"0.00\", expect_size=\"41179136\"] \n  11 -> 15 [size =\"41179136\"]\n  11 -> 17 [size =\"41179136\"]\n  12 [size=\"151599787\", alpha=\"0.10\", expect_size=\"45479936\"] \n  12 -> 17 [size =\"45479936\"]\n  13 [size=\"162563413\", alpha=\"0.16\", expect_size=\"48769024\"] \n  14 [size=\"122903893\", alpha=\"0.09\", expect_size=\"36871168\"] \n  14 -> 18 [size =\"36871168\"]\n  14 -> 19 [size =\"36871168\"]\n  15 [size=\"168710827\", alpha=\"0.11\", expect_size=\"50613248\"] \n  16 [size=\"80698027\", alpha=\"0.04\", expect_size=\"24209408\"] \n  16 -> 19 [size =\"24209408\"]\n  16 -> 20 [size =\"24209408\"]\n  17 [size=\"139537067\", alpha=\"0.16\", expect_size=\"41861120\"] \n  17 -> 20 [size =\"41861120\"]\n  17 -> 21 [size =\"41861120\"]\n  18 [size=\"122337280\", alpha=\"0.17\", expect_size=\"36701184\"] \n  18 -> 23 [size =\"36701184\"]\n  19 [size=\"159535787\", alpha=\"0.19\", expect_size=\"47860736\"] \n  20 [size=\"43953493\", alpha=\"0.05\", expect_size=\"13186048\"] \n  21 [size=\"118108160\", alpha=\"0.09\", expect_size=\"35432448\"] \n  21 -> 22 [size =\"35432448\"]\n  21 -> 24 [size =\"35432448\"]\n  21 -> 25 [size =\"35432448\"]\n  22 [size=\"118521173\", alpha=\"0.15\", expect_size=\"35556352\"] \n  22 -> 26 [size =\"35556352\"]\n  22 -> 27 [size =\"35556352\"]\n  22 -> 28 [size =\"35556352\"]\n  23 [size=\"40642560\", alpha=\"0.10\", expect_size=\"12192768\"] \n  23 -> 26 [size =\"12192768\"]\n  24 [size=\"169673387\", alpha=\"0.15\", expect_size=\"50902016\"] \n  25 [size=\"85917013\", alpha=\"0.11\", expect_size=\"25775104\"] \n  25 -> 29 [size =\"25775104\"]\n  26 [size=\"170994347\", alpha=\"0.02\", expect_size=\"51298304\"] \n  26 -> 31 [size =\"51298304\"]\n  26 -> 33 [size =\"51298304\"]\n  27 [size=\"46138027\", alpha=\"0.09\", expect_size=\"13841408\"] \n  28 [size=\"170277547\", alpha=\"0.05\", expect_size=\"51083264\"] \n  28 -> 30 [size =\"51083264\"]\n  28 -> 32 [size =\"51083264\"]\n  29 [size=\"144626347\", alpha=\"0.06\", expect_size=\"43387904\"] \n  29 -> 31 [size =\"43387904\"]\n  29 -> 32 [size =\"43387904\"]\n  29 -> 33 [size =\"43387904\"]\n  30 [size=\"140076373\", alpha=\"0.13\", expect_size=\"42022912\"] \n  30 -> 34 [size =\"42022912\"]\n  31 [size=\"24367787\", alpha=\"0.15\", expect_size=\"7310336\"] \n  31 -> 34 [size =\"7310336\"]\n  31 -> 35 [size =\"7310336\"]\n  32 [size=\"92569600\", alpha=\"0.14\", expect_size=\"27770880\"] \n  32 -> 35 [size =\"27770880\"]\n  33 [size=\"56477013\", alpha=\"0.12\", expect_size=\"16943104\"] \n  34 [size=\"133307733\", alpha=\"0.03\", expect_size=\"39992320\"] \n  35 [size=\"96764587\", alpha=\"0.13\", expect_size=\"29029376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62619648\", alpha=\"0.01\", expect_size=\"31309824\"] \n  1 -> 7 [size =\"31309824\"]\n  1 -> 8 [size =\"31309824\"]\n  2 [size=\"96497664\", alpha=\"0.02\", expect_size=\"48248832\"] \n  2 -> 5 [size =\"48248832\"]\n  2 -> 6 [size =\"48248832\"]\n  2 -> 7 [size =\"48248832\"]\n  3 [size=\"62304256\", alpha=\"0.14\", expect_size=\"31152128\"] \n  3 -> 5 [size =\"31152128\"]\n  3 -> 6 [size =\"31152128\"]\n  3 -> 9 [size =\"31152128\"]\n  4 [size=\"83365888\", alpha=\"0.19\", expect_size=\"41682944\"] \n  4 -> 6 [size =\"41682944\"]\n  4 -> 8 [size =\"41682944\"]\n  4 -> 9 [size =\"41682944\"]\n  5 [size=\"51214336\", alpha=\"0.10\", expect_size=\"25607168\"] \n  5 -> 10 [size =\"25607168\"]\n  5 -> 11 [size =\"25607168\"]\n  5 -> 14 [size =\"25607168\"]\n  6 [size=\"27291648\", alpha=\"0.02\", expect_size=\"13645824\"] \n  6 -> 12 [size =\"13645824\"]\n  6 -> 13 [size =\"13645824\"]\n  7 [size=\"37744640\", alpha=\"0.15\", expect_size=\"18872320\"] \n  7 -> 11 [size =\"18872320\"]\n  7 -> 12 [size =\"18872320\"]\n  7 -> 14 [size =\"18872320\"]\n  8 [size=\"58937344\", alpha=\"0.19\", expect_size=\"29468672\"] \n  8 -> 10 [size =\"29468672\"]\n  8 -> 11 [size =\"29468672\"]\n  8 -> 12 [size =\"29468672\"]\n  9 [size=\"27975680\", alpha=\"0.13\", expect_size=\"13987840\"] \n  9 -> 10 [size =\"13987840\"]\n  9 -> 14 [size =\"13987840\"]\n  10 [size=\"18223104\", alpha=\"0.11\", expect_size=\"9111552\"] \n  10 -> 18 [size =\"9111552\"]\n  11 [size=\"93372416\", alpha=\"0.02\", expect_size=\"46686208\"] \n  11 -> 18 [size =\"46686208\"]\n  12 [size=\"98097152\", alpha=\"0.11\", expect_size=\"49048576\"] \n  13 [size=\"13699072\", alpha=\"0.07\", expect_size=\"6849536\"] \n  13 -> 16 [size =\"6849536\"]\n  13 -> 17 [size =\"6849536\"]\n  14 [size=\"77727744\", alpha=\"0.06\", expect_size=\"38863872\"] \n  14 -> 15 [size =\"38863872\"]\n  14 -> 17 [size =\"38863872\"]\n  14 -> 19 [size =\"38863872\"]\n  15 [size=\"74932224\", alpha=\"0.08\", expect_size=\"37466112\"] \n  15 -> 21 [size =\"37466112\"]\n  15 -> 24 [size =\"37466112\"]\n  16 [size=\"25692160\", alpha=\"0.03\", expect_size=\"12846080\"] \n  16 -> 23 [size =\"12846080\"]\n  16 -> 24 [size =\"12846080\"]\n  17 [size=\"37251072\", alpha=\"0.05\", expect_size=\"18625536\"] \n  17 -> 22 [size =\"18625536\"]\n  17 -> 23 [size =\"18625536\"]\n  18 [size=\"15157248\", alpha=\"0.20\", expect_size=\"7578624\"] \n  18 -> 21 [size =\"7578624\"]\n  18 -> 22 [size =\"7578624\"]\n  18 -> 25 [size =\"7578624\"]\n  19 [size=\"104427520\", alpha=\"0.10\", expect_size=\"52213760\"] \n  19 -> 20 [size =\"52213760\"]\n  19 -> 24 [size =\"52213760\"]\n  20 [size=\"73373696\", alpha=\"0.02\", expect_size=\"36686848\"] \n  20 -> 26 [size =\"36686848\"]\n  20 -> 27 [size =\"36686848\"]\n  20 -> 28 [size =\"36686848\"]\n  21 [size=\"30889984\", alpha=\"0.04\", expect_size=\"15444992\"] \n  21 -> 26 [size =\"15444992\"]\n  21 -> 27 [size =\"15444992\"]\n  22 [size=\"39589888\", alpha=\"0.05\", expect_size=\"19794944\"] \n  22 -> 28 [size =\"19794944\"]\n  23 [size=\"92309504\", alpha=\"0.17\", expect_size=\"46154752\"] \n  23 -> 28 [size =\"46154752\"]\n  24 [size=\"31358976\", alpha=\"0.04\", expect_size=\"15679488\"] \n  24 -> 26 [size =\"15679488\"]\n  24 -> 27 [size =\"15679488\"]\n  24 -> 28 [size =\"15679488\"]\n  25 [size=\"59279360\", alpha=\"0.00\", expect_size=\"29639680\"] \n  25 -> 26 [size =\"29639680\"]\n  25 -> 27 [size =\"29639680\"]\n  26 [size=\"94900224\", alpha=\"0.20\", expect_size=\"47450112\"] \n  26 -> 30 [size =\"47450112\"]\n  26 -> 32 [size =\"47450112\"]\n  26 -> 34 [size =\"47450112\"]\n  27 [size=\"15828992\", alpha=\"0.05\", expect_size=\"7914496\"] \n  27 -> 29 [size =\"7914496\"]\n  27 -> 31 [size =\"7914496\"]\n  27 -> 32 [size =\"7914496\"]\n  28 [size=\"41596928\", alpha=\"0.00\", expect_size=\"20798464\"] \n  28 -> 30 [size =\"20798464\"]\n  28 -> 33 [size =\"20798464\"]\n  29 [size=\"40593408\", alpha=\"0.20\", expect_size=\"20296704\"] \n  29 -> 35 [size =\"20296704\"]\n  30 [size=\"89223168\", alpha=\"0.00\", expect_size=\"44611584\"] \n  30 -> 35 [size =\"44611584\"]\n  31 [size=\"97982464\", alpha=\"0.19\", expect_size=\"48991232\"] \n  32 [size=\"24631296\", alpha=\"0.16\", expect_size=\"12315648\"] \n  33 [size=\"49557504\", alpha=\"0.13\", expect_size=\"24778752\"] \n  34 [size=\"35835904\", alpha=\"0.05\", expect_size=\"17917952\"] \n  35 [size=\"56350720\", alpha=\"0.11\", expect_size=\"28175360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57842347\", alpha=\"0.14\", expect_size=\"17352704\"] \n  1 -> 2 [size =\"17352704\"]\n  1 -> 3 [size =\"17352704\"]\n  2 [size=\"20203520\", alpha=\"0.13\", expect_size=\"6061056\"] \n  3 [size=\"169543680\", alpha=\"0.13\", expect_size=\"50863104\"] \n  3 -> 4 [size =\"50863104\"]\n  3 -> 5 [size =\"50863104\"]\n  4 [size=\"156695893\", alpha=\"0.18\", expect_size=\"47008768\"] \n  5 [size=\"77585067\", alpha=\"0.16\", expect_size=\"23275520\"] \n  5 -> 6 [size =\"23275520\"]\n  6 [size=\"25326933\", alpha=\"0.17\", expect_size=\"7598080\"] \n  6 -> 7 [size =\"7598080\"]\n  7 [size=\"63081813\", alpha=\"0.02\", expect_size=\"18924544\"] \n  7 -> 8 [size =\"18924544\"]\n  8 [size=\"69003947\", alpha=\"0.02\", expect_size=\"20701184\"] \n  8 -> 9 [size =\"20701184\"]\n  9 [size=\"38594560\", alpha=\"0.08\", expect_size=\"11578368\"] \n  9 -> 10 [size =\"11578368\"]\n  9 -> 11 [size =\"11578368\"]\n  10 [size=\"130245973\", alpha=\"0.06\", expect_size=\"39073792\"] \n  10 -> 13 [size =\"39073792\"]\n  11 [size=\"118804480\", alpha=\"0.18\", expect_size=\"35641344\"] \n  11 -> 12 [size =\"35641344\"]\n  12 [size=\"74113707\", alpha=\"0.17\", expect_size=\"22234112\"] \n  12 -> 14 [size =\"22234112\"]\n  13 [size=\"18926933\", alpha=\"0.04\", expect_size=\"5678080\"] \n  13 -> 15 [size =\"5678080\"]\n  14 [size=\"120808107\", alpha=\"0.19\", expect_size=\"36242432\"] \n  15 [size=\"107134293\", alpha=\"0.15\", expect_size=\"32140288\"] \n  15 -> 16 [size =\"32140288\"]\n  16 [size=\"75700907\", alpha=\"0.06\", expect_size=\"22710272\"] \n  16 -> 17 [size =\"22710272\"]\n  17 [size=\"55251627\", alpha=\"0.12\", expect_size=\"16575488\"] \n  17 -> 18 [size =\"16575488\"]\n  17 -> 19 [size =\"16575488\"]\n  18 [size=\"67891200\", alpha=\"0.13\", expect_size=\"20367360\"] \n  19 [size=\"87323307\", alpha=\"0.11\", expect_size=\"26196992\"] \n  19 -> 20 [size =\"26196992\"]\n  20 [size=\"153337173\", alpha=\"0.12\", expect_size=\"46001152\"] \n  20 -> 21 [size =\"46001152\"]\n  21 [size=\"44260693\", alpha=\"0.19\", expect_size=\"13278208\"] \n  21 -> 22 [size =\"13278208\"]\n  21 -> 23 [size =\"13278208\"]\n  22 [size=\"27217920\", alpha=\"0.06\", expect_size=\"8165376\"] \n  23 [size=\"160617813\", alpha=\"0.12\", expect_size=\"48185344\"] \n  23 -> 24 [size =\"48185344\"]\n  24 [size=\"35321173\", alpha=\"0.16\", expect_size=\"10596352\"] \n  24 -> 25 [size =\"10596352\"]\n  24 -> 26 [size =\"10596352\"]\n  25 [size=\"23749973\", alpha=\"0.08\", expect_size=\"7124992\"] \n  25 -> 27 [size =\"7124992\"]\n  26 [size=\"142295040\", alpha=\"0.01\", expect_size=\"42688512\"] \n  26 -> 28 [size =\"42688512\"]\n  27 [size=\"31709867\", alpha=\"0.19\", expect_size=\"9512960\"] \n  28 [size=\"128378880\", alpha=\"0.04\", expect_size=\"38513664\"] \n  28 -> 29 [size =\"38513664\"]\n  29 [size=\"73929387\", alpha=\"0.12\", expect_size=\"22178816\"] \n  29 -> 30 [size =\"22178816\"]\n  29 -> 31 [size =\"22178816\"]\n  30 [size=\"157235200\", alpha=\"0.14\", expect_size=\"47170560\"] \n  31 [size=\"95266133\", alpha=\"0.09\", expect_size=\"28579840\"] \n  31 -> 32 [size =\"28579840\"]\n  32 [size=\"85674667\", alpha=\"0.11\", expect_size=\"25702400\"] \n  32 -> 33 [size =\"25702400\"]\n  32 -> 34 [size =\"25702400\"]\n  33 [size=\"131191467\", alpha=\"0.13\", expect_size=\"39357440\"] \n  33 -> 35 [size =\"39357440\"]\n  34 [size=\"69311147\", alpha=\"0.09\", expect_size=\"20793344\"] \n  35 [size=\"39256747\", alpha=\"0.16\", expect_size=\"11777024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136642560\", alpha=\"0.19\", expect_size=\"40992768\"] \n  1 -> 6 [size =\"40992768\"]\n  1 -> 9 [size =\"40992768\"]\n  2 [size=\"76202667\", alpha=\"0.15\", expect_size=\"22860800\"] \n  2 -> 9 [size =\"22860800\"]\n  2 -> 10 [size =\"22860800\"]\n  2 -> 11 [size =\"22860800\"]\n  3 [size=\"161812480\", alpha=\"0.17\", expect_size=\"48543744\"] \n  3 -> 6 [size =\"48543744\"]\n  3 -> 7 [size =\"48543744\"]\n  3 -> 9 [size =\"48543744\"]\n  3 -> 11 [size =\"48543744\"]\n  4 [size=\"69526187\", alpha=\"0.11\", expect_size=\"20857856\"] \n  4 -> 6 [size =\"20857856\"]\n  4 -> 8 [size =\"20857856\"]\n  4 -> 9 [size =\"20857856\"]\n  4 -> 10 [size =\"20857856\"]\n  4 -> 11 [size =\"20857856\"]\n  5 [size=\"158238720\", alpha=\"0.03\", expect_size=\"47471616\"] \n  5 -> 6 [size =\"47471616\"]\n  5 -> 7 [size =\"47471616\"]\n  5 -> 8 [size =\"47471616\"]\n  5 -> 9 [size =\"47471616\"]\n  5 -> 10 [size =\"47471616\"]\n  6 [size=\"49380693\", alpha=\"0.04\", expect_size=\"14814208\"] \n  6 -> 12 [size =\"14814208\"]\n  6 -> 13 [size =\"14814208\"]\n  6 -> 14 [size =\"14814208\"]\n  7 [size=\"158634667\", alpha=\"0.10\", expect_size=\"47590400\"] \n  7 -> 13 [size =\"47590400\"]\n  7 -> 15 [size =\"47590400\"]\n  8 [size=\"35300693\", alpha=\"0.00\", expect_size=\"10590208\"] \n  8 -> 12 [size =\"10590208\"]\n  8 -> 13 [size =\"10590208\"]\n  8 -> 14 [size =\"10590208\"]\n  8 -> 15 [size =\"10590208\"]\n  9 [size=\"125593600\", alpha=\"0.07\", expect_size=\"37678080\"] \n  9 -> 12 [size =\"37678080\"]\n  9 -> 14 [size =\"37678080\"]\n  9 -> 15 [size =\"37678080\"]\n  9 -> 15 [size =\"37678080\"]\n  10 [size=\"49394347\", alpha=\"0.01\", expect_size=\"14818304\"] \n  10 -> 12 [size =\"14818304\"]\n  10 -> 14 [size =\"14818304\"]\n  10 -> 15 [size =\"14818304\"]\n  11 [size=\"147285333\", alpha=\"0.02\", expect_size=\"44185600\"] \n  11 -> 12 [size =\"44185600\"]\n  11 -> 13 [size =\"44185600\"]\n  11 -> 14 [size =\"44185600\"]\n  11 -> 15 [size =\"44185600\"]\n  12 [size=\"136673280\", alpha=\"0.08\", expect_size=\"41001984\"] \n  12 -> 17 [size =\"41001984\"]\n  12 -> 18 [size =\"41001984\"]\n  12 -> 19 [size =\"41001984\"]\n  13 [size=\"97259520\", alpha=\"0.14\", expect_size=\"29177856\"] \n  13 -> 16 [size =\"29177856\"]\n  13 -> 18 [size =\"29177856\"]\n  13 -> 19 [size =\"29177856\"]\n  13 -> 20 [size =\"29177856\"]\n  14 [size=\"74161493\", alpha=\"0.01\", expect_size=\"22248448\"] \n  14 -> 20 [size =\"22248448\"]\n  15 [size=\"164290560\", alpha=\"0.10\", expect_size=\"49287168\"] \n  15 -> 17 [size =\"49287168\"]\n  15 -> 18 [size =\"49287168\"]\n  15 -> 20 [size =\"49287168\"]\n  16 [size=\"29173760\", alpha=\"0.02\", expect_size=\"8752128\"] \n  16 -> 24 [size =\"8752128\"]\n  17 [size=\"60610560\", alpha=\"0.08\", expect_size=\"18183168\"] \n  17 -> 23 [size =\"18183168\"]\n  17 -> 25 [size =\"18183168\"]\n  18 [size=\"139929600\", alpha=\"0.13\", expect_size=\"41978880\"] \n  18 -> 22 [size =\"41978880\"]\n  18 -> 23 [size =\"41978880\"]\n  18 -> 24 [size =\"41978880\"]\n  18 -> 25 [size =\"41978880\"]\n  19 [size=\"142987947\", alpha=\"0.13\", expect_size=\"42896384\"] \n  19 -> 22 [size =\"42896384\"]\n  19 -> 24 [size =\"42896384\"]\n  19 -> 24 [size =\"42896384\"]\n  19 -> 25 [size =\"42896384\"]\n  20 [size=\"43499520\", alpha=\"0.04\", expect_size=\"13049856\"] \n  20 -> 21 [size =\"13049856\"]\n  20 -> 22 [size =\"13049856\"]\n  20 -> 24 [size =\"13049856\"]\n  20 -> 25 [size =\"13049856\"]\n  21 [size=\"51094187\", alpha=\"0.11\", expect_size=\"15328256\"] \n  21 -> 27 [size =\"15328256\"]\n  21 -> 29 [size =\"15328256\"]\n  22 [size=\"70478507\", alpha=\"0.05\", expect_size=\"21143552\"] \n  22 -> 27 [size =\"21143552\"]\n  23 [size=\"135843840\", alpha=\"0.17\", expect_size=\"40753152\"] \n  23 -> 26 [size =\"40753152\"]\n  23 -> 27 [size =\"40753152\"]\n  23 -> 28 [size =\"40753152\"]\n  24 [size=\"91473920\", alpha=\"0.16\", expect_size=\"27442176\"] \n  24 -> 26 [size =\"27442176\"]\n  24 -> 29 [size =\"27442176\"]\n  24 -> 30 [size =\"27442176\"]\n  25 [size=\"102659413\", alpha=\"0.13\", expect_size=\"30797824\"] \n  25 -> 27 [size =\"30797824\"]\n  25 -> 29 [size =\"30797824\"]\n  25 -> 30 [size =\"30797824\"]\n  26 [size=\"26593280\", alpha=\"0.14\", expect_size=\"7977984\"] \n  26 -> 32 [size =\"7977984\"]\n  26 -> 34 [size =\"7977984\"]\n  26 -> 35 [size =\"7977984\"]\n  27 [size=\"39208960\", alpha=\"0.13\", expect_size=\"11762688\"] \n  27 -> 31 [size =\"11762688\"]\n  28 [size=\"100352000\", alpha=\"0.14\", expect_size=\"30105600\"] \n  28 -> 35 [size =\"30105600\"]\n  29 [size=\"43810133\", alpha=\"0.09\", expect_size=\"13143040\"] \n  29 -> 32 [size =\"13143040\"]\n  29 -> 34 [size =\"13143040\"]\n  30 [size=\"144076800\", alpha=\"0.07\", expect_size=\"43223040\"] \n  30 -> 33 [size =\"43223040\"]\n  30 -> 34 [size =\"43223040\"]\n  31 [size=\"19145387\", alpha=\"0.03\", expect_size=\"5743616\"] \n  32 [size=\"102765227\", alpha=\"0.14\", expect_size=\"30829568\"] \n  33 [size=\"139083093\", alpha=\"0.14\", expect_size=\"41724928\"] \n  34 [size=\"115155627\", alpha=\"0.02\", expect_size=\"34546688\"] \n  35 [size=\"83032747\", alpha=\"0.09\", expect_size=\"24909824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87498240\", alpha=\"0.16\", expect_size=\"34999296\"] \n  1 -> 13 [size =\"34999296\"]\n  1 -> 16 [size =\"34999296\"]\n  1 -> 19 [size =\"34999296\"]\n  1 -> 20 [size =\"34999296\"]\n  1 -> 23 [size =\"34999296\"]\n  2 [size=\"127989760\", alpha=\"0.18\", expect_size=\"51195904\"] \n  2 -> 16 [size =\"51195904\"]\n  2 -> 20 [size =\"51195904\"]\n  2 -> 21 [size =\"51195904\"]\n  2 -> 22 [size =\"51195904\"]\n  2 -> 23 [size =\"51195904\"]\n  3 [size=\"82112000\", alpha=\"0.01\", expect_size=\"32844800\"] \n  3 -> 21 [size =\"32844800\"]\n  3 -> 22 [size =\"32844800\"]\n  4 [size=\"108587520\", alpha=\"0.03\", expect_size=\"43435008\"] \n  4 -> 19 [size =\"43435008\"]\n  4 -> 21 [size =\"43435008\"]\n  4 -> 22 [size =\"43435008\"]\n  5 [size=\"60426240\", alpha=\"0.04\", expect_size=\"24170496\"] \n  5 -> 15 [size =\"24170496\"]\n  5 -> 20 [size =\"24170496\"]\n  5 -> 22 [size =\"24170496\"]\n  6 [size=\"26511360\", alpha=\"0.06\", expect_size=\"10604544\"] \n  6 -> 19 [size =\"10604544\"]\n  6 -> 22 [size =\"10604544\"]\n  6 -> 22 [size =\"10604544\"]\n  7 [size=\"105715200\", alpha=\"0.04\", expect_size=\"42286080\"] \n  7 -> 15 [size =\"42286080\"]\n  7 -> 20 [size =\"42286080\"]\n  7 -> 21 [size =\"42286080\"]\n  7 -> 22 [size =\"42286080\"]\n  8 [size=\"76221440\", alpha=\"0.18\", expect_size=\"30488576\"] \n  8 -> 19 [size =\"30488576\"]\n  8 -> 22 [size =\"30488576\"]\n  9 [size=\"87559680\", alpha=\"0.04\", expect_size=\"35023872\"] \n  9 -> 16 [size =\"35023872\"]\n  9 -> 18 [size =\"35023872\"]\n  9 -> 19 [size =\"35023872\"]\n  9 -> 23 [size =\"35023872\"]\n  10 [size=\"41960960\", alpha=\"0.04\", expect_size=\"16784384\"] \n  10 -> 14 [size =\"16784384\"]\n  10 -> 16 [size =\"16784384\"]\n  10 -> 18 [size =\"16784384\"]\n  10 -> 19 [size =\"16784384\"]\n  10 -> 20 [size =\"16784384\"]\n  10 -> 23 [size =\"16784384\"]\n  11 [size=\"101588480\", alpha=\"0.13\", expect_size=\"40635392\"] \n  11 -> 14 [size =\"40635392\"]\n  11 -> 16 [size =\"40635392\"]\n  11 -> 18 [size =\"40635392\"]\n  11 -> 23 [size =\"40635392\"]\n  12 [size=\"80732160\", alpha=\"0.18\", expect_size=\"32292864\"] \n  12 -> 14 [size =\"32292864\"]\n  12 -> 16 [size =\"32292864\"]\n  12 -> 17 [size =\"32292864\"]\n  12 -> 23 [size =\"32292864\"]\n  13 [size=\"66767360\", alpha=\"0.09\", expect_size=\"26706944\"] \n  13 -> 27 [size =\"26706944\"]\n  13 -> 28 [size =\"26706944\"]\n  13 -> 33 [size =\"26706944\"]\n  14 [size=\"75330560\", alpha=\"0.10\", expect_size=\"30132224\"] \n  14 -> 25 [size =\"30132224\"]\n  14 -> 33 [size =\"30132224\"]\n  15 [size=\"91299840\", alpha=\"0.16\", expect_size=\"36519936\"] \n  15 -> 24 [size =\"36519936\"]\n  15 -> 26 [size =\"36519936\"]\n  15 -> 31 [size =\"36519936\"]\n  15 -> 32 [size =\"36519936\"]\n  15 -> 33 [size =\"36519936\"]\n  16 [size=\"116851200\", alpha=\"0.01\", expect_size=\"46740480\"] \n  16 -> 26 [size =\"46740480\"]\n  16 -> 26 [size =\"46740480\"]\n  16 -> 28 [size =\"46740480\"]\n  16 -> 32 [size =\"46740480\"]\n  17 [size=\"34419200\", alpha=\"0.14\", expect_size=\"13767680\"] \n  17 -> 26 [size =\"13767680\"]\n  17 -> 28 [size =\"13767680\"]\n  17 -> 31 [size =\"13767680\"]\n  18 [size=\"58777600\", alpha=\"0.06\", expect_size=\"23511040\"] \n  18 -> 25 [size =\"23511040\"]\n  18 -> 26 [size =\"23511040\"]\n  18 -> 28 [size =\"23511040\"]\n  18 -> 31 [size =\"23511040\"]\n  18 -> 33 [size =\"23511040\"]\n  19 [size=\"46632960\", alpha=\"0.02\", expect_size=\"18653184\"] \n  19 -> 25 [size =\"18653184\"]\n  19 -> 28 [size =\"18653184\"]\n  19 -> 29 [size =\"18653184\"]\n  19 -> 30 [size =\"18653184\"]\n  19 -> 32 [size =\"18653184\"]\n  19 -> 33 [size =\"18653184\"]\n  20 [size=\"68480000\", alpha=\"0.03\", expect_size=\"27392000\"] \n  20 -> 25 [size =\"27392000\"]\n  20 -> 27 [size =\"27392000\"]\n  20 -> 29 [size =\"27392000\"]\n  21 [size=\"92776960\", alpha=\"0.18\", expect_size=\"37110784\"] \n  22 [size=\"50447360\", alpha=\"0.12\", expect_size=\"20178944\"] \n  22 -> 25 [size =\"20178944\"]\n  22 -> 26 [size =\"20178944\"]\n  22 -> 28 [size =\"20178944\"]\n  22 -> 29 [size =\"20178944\"]\n  22 -> 33 [size =\"20178944\"]\n  23 [size=\"40517120\", alpha=\"0.17\", expect_size=\"16206848\"] \n  23 -> 26 [size =\"16206848\"]\n  23 -> 28 [size =\"16206848\"]\n  23 -> 33 [size =\"16206848\"]\n  24 [size=\"96529920\", alpha=\"0.19\", expect_size=\"38611968\"] \n  25 [size=\"36357120\", alpha=\"0.09\", expect_size=\"14542848\"] \n  26 [size=\"14927360\", alpha=\"0.01\", expect_size=\"5970944\"] \n  26 -> 34 [size =\"5970944\"]\n  26 -> 35 [size =\"5970944\"]\n  27 [size=\"19379200\", alpha=\"0.08\", expect_size=\"7751680\"] \n  27 -> 35 [size =\"7751680\"]\n  27 -> 35 [size =\"7751680\"]\n  28 [size=\"101690880\", alpha=\"0.07\", expect_size=\"40676352\"] \n  28 -> 34 [size =\"40676352\"]\n  29 [size=\"21708800\", alpha=\"0.18\", expect_size=\"8683520\"] \n  29 -> 34 [size =\"8683520\"]\n  30 [size=\"31810560\", alpha=\"0.14\", expect_size=\"12724224\"] \n  30 -> 34 [size =\"12724224\"]\n  30 -> 35 [size =\"12724224\"]\n  31 [size=\"52062720\", alpha=\"0.04\", expect_size=\"20825088\"] \n  31 -> 35 [size =\"20825088\"]\n  32 [size=\"38894080\", alpha=\"0.07\", expect_size=\"15557632\"] \n  33 [size=\"107187200\", alpha=\"0.18\", expect_size=\"42874880\"] \n  33 -> 35 [size =\"42874880\"]\n  34 [size=\"90017280\", alpha=\"0.00\", expect_size=\"36006912\"] \n  35 [size=\"82869760\", alpha=\"0.16\", expect_size=\"33147904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24654507\", alpha=\"0.08\", expect_size=\"7396352\"] \n  1 -> 7 [size =\"7396352\"]\n  2 [size=\"154166613\", alpha=\"0.20\", expect_size=\"46249984\"] \n  2 -> 5 [size =\"46249984\"]\n  2 -> 6 [size =\"46249984\"]\n  3 [size=\"24961707\", alpha=\"0.17\", expect_size=\"7488512\"] \n  3 -> 7 [size =\"7488512\"]\n  4 [size=\"111063040\", alpha=\"0.17\", expect_size=\"33318912\"] \n  5 [size=\"159126187\", alpha=\"0.18\", expect_size=\"47737856\"] \n  5 -> 8 [size =\"47737856\"]\n  6 [size=\"41912320\", alpha=\"0.11\", expect_size=\"12573696\"] \n  6 -> 8 [size =\"12573696\"]\n  6 -> 10 [size =\"12573696\"]\n  7 [size=\"139584853\", alpha=\"0.18\", expect_size=\"41875456\"] \n  7 -> 9 [size =\"41875456\"]\n  8 [size=\"159658667\", alpha=\"0.01\", expect_size=\"47897600\"] \n  8 -> 11 [size =\"47897600\"]\n  8 -> 13 [size =\"47897600\"]\n  9 [size=\"21896533\", alpha=\"0.00\", expect_size=\"6568960\"] \n  9 -> 12 [size =\"6568960\"]\n  10 [size=\"80837973\", alpha=\"0.02\", expect_size=\"24251392\"] \n  10 -> 12 [size =\"24251392\"]\n  11 [size=\"141096960\", alpha=\"0.04\", expect_size=\"42329088\"] \n  11 -> 14 [size =\"42329088\"]\n  11 -> 15 [size =\"42329088\"]\n  11 -> 16 [size =\"42329088\"]\n  11 -> 20 [size =\"42329088\"]\n  12 [size=\"43560960\", alpha=\"0.02\", expect_size=\"13068288\"] \n  12 -> 17 [size =\"13068288\"]\n  12 -> 18 [size =\"13068288\"]\n  12 -> 19 [size =\"13068288\"]\n  13 [size=\"42758827\", alpha=\"0.17\", expect_size=\"12827648\"] \n  13 -> 15 [size =\"12827648\"]\n  13 -> 16 [size =\"12827648\"]\n  13 -> 19 [size =\"12827648\"]\n  13 -> 20 [size =\"12827648\"]\n  14 [size=\"19613013\", alpha=\"0.16\", expect_size=\"5883904\"] \n  14 -> 21 [size =\"5883904\"]\n  15 [size=\"154746880\", alpha=\"0.09\", expect_size=\"46424064\"] \n  15 -> 22 [size =\"46424064\"]\n  15 -> 23 [size =\"46424064\"]\n  16 [size=\"138417493\", alpha=\"0.09\", expect_size=\"41525248\"] \n  16 -> 23 [size =\"41525248\"]\n  16 -> 24 [size =\"41525248\"]\n  17 [size=\"65477973\", alpha=\"0.05\", expect_size=\"19643392\"] \n  17 -> 21 [size =\"19643392\"]\n  17 -> 22 [size =\"19643392\"]\n  18 [size=\"46912853\", alpha=\"0.07\", expect_size=\"14073856\"] \n  18 -> 21 [size =\"14073856\"]\n  18 -> 22 [size =\"14073856\"]\n  18 -> 23 [size =\"14073856\"]\n  19 [size=\"51350187\", alpha=\"0.13\", expect_size=\"15405056\"] \n  19 -> 22 [size =\"15405056\"]\n  19 -> 23 [size =\"15405056\"]\n  20 [size=\"55121920\", alpha=\"0.09\", expect_size=\"16536576\"] \n  20 -> 21 [size =\"16536576\"]\n  21 [size=\"68358827\", alpha=\"0.06\", expect_size=\"20507648\"] \n  21 -> 27 [size =\"20507648\"]\n  21 -> 29 [size =\"20507648\"]\n  22 [size=\"97211733\", alpha=\"0.00\", expect_size=\"29163520\"] \n  22 -> 25 [size =\"29163520\"]\n  22 -> 27 [size =\"29163520\"]\n  22 -> 29 [size =\"29163520\"]\n  23 [size=\"111469227\", alpha=\"0.16\", expect_size=\"33440768\"] \n  23 -> 26 [size =\"33440768\"]\n  23 -> 28 [size =\"33440768\"]\n  24 [size=\"87534933\", alpha=\"0.03\", expect_size=\"26260480\"] \n  24 -> 28 [size =\"26260480\"]\n  24 -> 29 [size =\"26260480\"]\n  25 [size=\"52367360\", alpha=\"0.09\", expect_size=\"15710208\"] \n  25 -> 30 [size =\"15710208\"]\n  25 -> 31 [size =\"15710208\"]\n  26 [size=\"124146347\", alpha=\"0.17\", expect_size=\"37243904\"] \n  26 -> 31 [size =\"37243904\"]\n  27 [size=\"35584000\", alpha=\"0.01\", expect_size=\"10675200\"] \n  28 [size=\"72908800\", alpha=\"0.03\", expect_size=\"21872640\"] \n  29 [size=\"130245973\", alpha=\"0.06\", expect_size=\"39073792\"] \n  30 [size=\"72605013\", alpha=\"0.16\", expect_size=\"21781504\"] \n  30 -> 32 [size =\"21781504\"]\n  30 -> 33 [size =\"21781504\"]\n  30 -> 34 [size =\"21781504\"]\n  30 -> 35 [size =\"21781504\"]\n  31 [size=\"142308693\", alpha=\"0.03\", expect_size=\"42692608\"] \n  31 -> 32 [size =\"42692608\"]\n  31 -> 33 [size =\"42692608\"]\n  31 -> 34 [size =\"42692608\"]\n  31 -> 35 [size =\"42692608\"]\n  32 [size=\"31972693\", alpha=\"0.13\", expect_size=\"9591808\"] \n  33 [size=\"35566933\", alpha=\"0.05\", expect_size=\"10670080\"] \n  34 [size=\"160583680\", alpha=\"0.19\", expect_size=\"48175104\"] \n  35 [size=\"28750507\", alpha=\"0.09\", expect_size=\"8625152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90189824\", alpha=\"0.12\", expect_size=\"45094912\"] \n  1 -> 2 [size =\"45094912\"]\n  2 [size=\"104470528\", alpha=\"0.06\", expect_size=\"52235264\"] \n  2 -> 3 [size =\"52235264\"]\n  3 [size=\"21401600\", alpha=\"0.10\", expect_size=\"10700800\"] \n  3 -> 4 [size =\"10700800\"]\n  4 [size=\"22624256\", alpha=\"0.09\", expect_size=\"11312128\"] \n  4 -> 5 [size =\"11312128\"]\n  5 [size=\"34273280\", alpha=\"0.19\", expect_size=\"17136640\"] \n  5 -> 6 [size =\"17136640\"]\n  6 [size=\"58454016\", alpha=\"0.19\", expect_size=\"29227008\"] \n  6 -> 7 [size =\"29227008\"]\n  7 [size=\"67016704\", alpha=\"0.11\", expect_size=\"33508352\"] \n  7 -> 8 [size =\"33508352\"]\n  8 [size=\"14706688\", alpha=\"0.05\", expect_size=\"7353344\"] \n  8 -> 9 [size =\"7353344\"]\n  9 [size=\"61276160\", alpha=\"0.07\", expect_size=\"30638080\"] \n  9 -> 10 [size =\"30638080\"]\n  10 [size=\"64937984\", alpha=\"0.15\", expect_size=\"32468992\"] \n  10 -> 11 [size =\"32468992\"]\n  11 [size=\"95389696\", alpha=\"0.18\", expect_size=\"47694848\"] \n  11 -> 12 [size =\"47694848\"]\n  12 [size=\"56459264\", alpha=\"0.12\", expect_size=\"28229632\"] \n  12 -> 13 [size =\"28229632\"]\n  13 [size=\"85217280\", alpha=\"0.09\", expect_size=\"42608640\"] \n  13 -> 14 [size =\"42608640\"]\n  14 [size=\"36030464\", alpha=\"0.06\", expect_size=\"18015232\"] \n  14 -> 15 [size =\"18015232\"]\n  15 [size=\"78321664\", alpha=\"0.01\", expect_size=\"39160832\"] \n  15 -> 16 [size =\"39160832\"]\n  16 [size=\"71919616\", alpha=\"0.16\", expect_size=\"35959808\"] \n  16 -> 17 [size =\"35959808\"]\n  17 [size=\"66609152\", alpha=\"0.13\", expect_size=\"33304576\"] \n  17 -> 18 [size =\"33304576\"]\n  18 [size=\"25151488\", alpha=\"0.20\", expect_size=\"12575744\"] \n  18 -> 19 [size =\"12575744\"]\n  19 [size=\"46864384\", alpha=\"0.06\", expect_size=\"23432192\"] \n  19 -> 20 [size =\"23432192\"]\n  20 [size=\"81553408\", alpha=\"0.12\", expect_size=\"40776704\"] \n  20 -> 21 [size =\"40776704\"]\n  21 [size=\"56428544\", alpha=\"0.15\", expect_size=\"28214272\"] \n  21 -> 22 [size =\"28214272\"]\n  22 [size=\"48429056\", alpha=\"0.18\", expect_size=\"24214528\"] \n  22 -> 23 [size =\"24214528\"]\n  23 [size=\"104062976\", alpha=\"0.04\", expect_size=\"52031488\"] \n  23 -> 24 [size =\"52031488\"]\n  24 [size=\"53657600\", alpha=\"0.12\", expect_size=\"26828800\"] \n  24 -> 25 [size =\"26828800\"]\n  25 [size=\"83722240\", alpha=\"0.05\", expect_size=\"41861120\"] \n  25 -> 26 [size =\"41861120\"]\n  26 [size=\"88487936\", alpha=\"0.08\", expect_size=\"44243968\"] \n  26 -> 27 [size =\"44243968\"]\n  27 [size=\"68110336\", alpha=\"0.03\", expect_size=\"34055168\"] \n  27 -> 28 [size =\"34055168\"]\n  28 [size=\"35424256\", alpha=\"0.19\", expect_size=\"17712128\"] \n  28 -> 29 [size =\"17712128\"]\n  29 [size=\"33212416\", alpha=\"0.06\", expect_size=\"16606208\"] \n  29 -> 30 [size =\"16606208\"]\n  30 [size=\"62169088\", alpha=\"0.04\", expect_size=\"31084544\"] \n  30 -> 31 [size =\"31084544\"]\n  31 [size=\"26044416\", alpha=\"0.00\", expect_size=\"13022208\"] \n  31 -> 32 [size =\"13022208\"]\n  32 [size=\"98916352\", alpha=\"0.06\", expect_size=\"49458176\"] \n  32 -> 33 [size =\"49458176\"]\n  33 [size=\"91654144\", alpha=\"0.08\", expect_size=\"45827072\"] \n  33 -> 34 [size =\"45827072\"]\n  34 [size=\"15175680\", alpha=\"0.15\", expect_size=\"7587840\"] \n  34 -> 35 [size =\"7587840\"]\n  35 [size=\"70363136\", alpha=\"0.17\", expect_size=\"35181568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28362752\", alpha=\"0.17\", expect_size=\"14181376\"] \n  1 -> 2 [size =\"14181376\"]\n  2 [size=\"98699264\", alpha=\"0.15\", expect_size=\"49349632\"] \n  2 -> 3 [size =\"49349632\"]\n  3 [size=\"17846272\", alpha=\"0.05\", expect_size=\"8923136\"] \n  3 -> 4 [size =\"8923136\"]\n  4 [size=\"76517376\", alpha=\"0.13\", expect_size=\"38258688\"] \n  4 -> 5 [size =\"38258688\"]\n  5 [size=\"75821056\", alpha=\"0.10\", expect_size=\"37910528\"] \n  5 -> 6 [size =\"37910528\"]\n  6 [size=\"36825088\", alpha=\"0.03\", expect_size=\"18412544\"] \n  6 -> 7 [size =\"18412544\"]\n  7 [size=\"37228544\", alpha=\"0.04\", expect_size=\"18614272\"] \n  7 -> 8 [size =\"18614272\"]\n  8 [size=\"76242944\", alpha=\"0.16\", expect_size=\"38121472\"] \n  8 -> 9 [size =\"38121472\"]\n  9 [size=\"94081024\", alpha=\"0.03\", expect_size=\"47040512\"] \n  9 -> 10 [size =\"47040512\"]\n  10 [size=\"42430464\", alpha=\"0.08\", expect_size=\"21215232\"] \n  10 -> 11 [size =\"21215232\"]\n  11 [size=\"78166016\", alpha=\"0.17\", expect_size=\"39083008\"] \n  11 -> 12 [size =\"39083008\"]\n  12 [size=\"65691648\", alpha=\"0.19\", expect_size=\"32845824\"] \n  12 -> 13 [size =\"32845824\"]\n  13 [size=\"42778624\", alpha=\"0.02\", expect_size=\"21389312\"] \n  13 -> 14 [size =\"21389312\"]\n  14 [size=\"65175552\", alpha=\"0.13\", expect_size=\"32587776\"] \n  14 -> 15 [size =\"32587776\"]\n  15 [size=\"30275584\", alpha=\"0.13\", expect_size=\"15137792\"] \n  15 -> 16 [size =\"15137792\"]\n  16 [size=\"78030848\", alpha=\"0.17\", expect_size=\"39015424\"] \n  16 -> 17 [size =\"39015424\"]\n  17 [size=\"90562560\", alpha=\"0.17\", expect_size=\"45281280\"] \n  17 -> 18 [size =\"45281280\"]\n  18 [size=\"16701440\", alpha=\"0.06\", expect_size=\"8350720\"] \n  18 -> 19 [size =\"8350720\"]\n  19 [size=\"91084800\", alpha=\"0.18\", expect_size=\"45542400\"] \n  19 -> 20 [size =\"45542400\"]\n  20 [size=\"12826624\", alpha=\"0.09\", expect_size=\"6413312\"] \n  20 -> 21 [size =\"6413312\"]\n  21 [size=\"49659904\", alpha=\"0.03\", expect_size=\"24829952\"] \n  21 -> 22 [size =\"24829952\"]\n  22 [size=\"37441536\", alpha=\"0.17\", expect_size=\"18720768\"] \n  22 -> 23 [size =\"18720768\"]\n  23 [size=\"33585152\", alpha=\"0.11\", expect_size=\"16792576\"] \n  23 -> 24 [size =\"16792576\"]\n  24 [size=\"41062400\", alpha=\"0.00\", expect_size=\"20531200\"] \n  24 -> 25 [size =\"20531200\"]\n  25 [size=\"103874560\", alpha=\"0.03\", expect_size=\"51937280\"] \n  25 -> 26 [size =\"51937280\"]\n  26 [size=\"72536064\", alpha=\"0.11\", expect_size=\"36268032\"] \n  26 -> 27 [size =\"36268032\"]\n  27 [size=\"56158208\", alpha=\"0.05\", expect_size=\"28079104\"] \n  27 -> 28 [size =\"28079104\"]\n  28 [size=\"44355584\", alpha=\"0.13\", expect_size=\"22177792\"] \n  28 -> 29 [size =\"22177792\"]\n  29 [size=\"73637888\", alpha=\"0.19\", expect_size=\"36818944\"] \n  29 -> 30 [size =\"36818944\"]\n  30 [size=\"63942656\", alpha=\"0.11\", expect_size=\"31971328\"] \n  30 -> 31 [size =\"31971328\"]\n  31 [size=\"10874880\", alpha=\"0.18\", expect_size=\"5437440\"] \n  31 -> 32 [size =\"5437440\"]\n  32 [size=\"26689536\", alpha=\"0.16\", expect_size=\"13344768\"] \n  32 -> 33 [size =\"13344768\"]\n  33 [size=\"10856448\", alpha=\"0.01\", expect_size=\"5428224\"] \n  33 -> 34 [size =\"5428224\"]\n  34 [size=\"65107968\", alpha=\"0.18\", expect_size=\"32553984\"] \n  34 -> 35 [size =\"32553984\"]\n  35 [size=\"66734080\", alpha=\"0.19\", expect_size=\"33367040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49115136\", alpha=\"0.01\", expect_size=\"24557568\"] \n  1 -> 3 [size =\"24557568\"]\n  2 [size=\"45518848\", alpha=\"0.09\", expect_size=\"22759424\"] \n  2 -> 3 [size =\"22759424\"]\n  3 [size=\"92870656\", alpha=\"0.12\", expect_size=\"46435328\"] \n  3 -> 4 [size =\"46435328\"]\n  4 [size=\"90988544\", alpha=\"0.01\", expect_size=\"45494272\"] \n  4 -> 5 [size =\"45494272\"]\n  4 -> 6 [size =\"45494272\"]\n  5 [size=\"50010112\", alpha=\"0.15\", expect_size=\"25005056\"] \n  5 -> 7 [size =\"25005056\"]\n  6 [size=\"22710272\", alpha=\"0.10\", expect_size=\"11355136\"] \n  6 -> 7 [size =\"11355136\"]\n  7 [size=\"28207104\", alpha=\"0.07\", expect_size=\"14103552\"] \n  7 -> 8 [size =\"14103552\"]\n  7 -> 9 [size =\"14103552\"]\n  8 [size=\"102031360\", alpha=\"0.06\", expect_size=\"51015680\"] \n  8 -> 10 [size =\"51015680\"]\n  8 -> 11 [size =\"51015680\"]\n  9 [size=\"84260864\", alpha=\"0.15\", expect_size=\"42130432\"] \n  9 -> 11 [size =\"42130432\"]\n  10 [size=\"61796352\", alpha=\"0.01\", expect_size=\"30898176\"] \n  10 -> 12 [size =\"30898176\"]\n  11 [size=\"83986432\", alpha=\"0.13\", expect_size=\"41993216\"] \n  11 -> 12 [size =\"41993216\"]\n  11 -> 13 [size =\"41993216\"]\n  12 [size=\"88123392\", alpha=\"0.10\", expect_size=\"44061696\"] \n  12 -> 14 [size =\"44061696\"]\n  13 [size=\"37378048\", alpha=\"0.15\", expect_size=\"18689024\"] \n  13 -> 15 [size =\"18689024\"]\n  14 [size=\"95451136\", alpha=\"0.03\", expect_size=\"47725568\"] \n  14 -> 16 [size =\"47725568\"]\n  15 [size=\"100929536\", alpha=\"0.14\", expect_size=\"50464768\"] \n  16 [size=\"78368768\", alpha=\"0.01\", expect_size=\"39184384\"] \n  16 -> 17 [size =\"39184384\"]\n  16 -> 18 [size =\"39184384\"]\n  17 [size=\"29388800\", alpha=\"0.01\", expect_size=\"14694400\"] \n  17 -> 19 [size =\"14694400\"]\n  18 [size=\"61202432\", alpha=\"0.16\", expect_size=\"30601216\"] \n  18 -> 19 [size =\"30601216\"]\n  18 -> 20 [size =\"30601216\"]\n  19 [size=\"88348672\", alpha=\"0.17\", expect_size=\"44174336\"] \n  19 -> 21 [size =\"44174336\"]\n  19 -> 22 [size =\"44174336\"]\n  20 [size=\"63195136\", alpha=\"0.08\", expect_size=\"31597568\"] \n  20 -> 22 [size =\"31597568\"]\n  21 [size=\"66580480\", alpha=\"0.06\", expect_size=\"33290240\"] \n  21 -> 23 [size =\"33290240\"]\n  21 -> 24 [size =\"33290240\"]\n  22 [size=\"35426304\", alpha=\"0.11\", expect_size=\"17713152\"] \n  22 -> 23 [size =\"17713152\"]\n  22 -> 24 [size =\"17713152\"]\n  23 [size=\"80562176\", alpha=\"0.15\", expect_size=\"40281088\"] \n  24 [size=\"57894912\", alpha=\"0.15\", expect_size=\"28947456\"] \n  24 -> 25 [size =\"28947456\"]\n  24 -> 26 [size =\"28947456\"]\n  25 [size=\"73897984\", alpha=\"0.03\", expect_size=\"36948992\"] \n  25 -> 28 [size =\"36948992\"]\n  26 [size=\"44032000\", alpha=\"0.14\", expect_size=\"22016000\"] \n  26 -> 27 [size =\"22016000\"]\n  27 [size=\"47138816\", alpha=\"0.09\", expect_size=\"23569408\"] \n  28 [size=\"51343360\", alpha=\"0.04\", expect_size=\"25671680\"] \n  28 -> 29 [size =\"25671680\"]\n  29 [size=\"30703616\", alpha=\"0.14\", expect_size=\"15351808\"] \n  29 -> 30 [size =\"15351808\"]\n  30 [size=\"18782208\", alpha=\"0.14\", expect_size=\"9391104\"] \n  30 -> 31 [size =\"9391104\"]\n  30 -> 32 [size =\"9391104\"]\n  31 [size=\"54278144\", alpha=\"0.11\", expect_size=\"27139072\"] \n  32 [size=\"81448960\", alpha=\"0.04\", expect_size=\"40724480\"] \n  32 -> 33 [size =\"40724480\"]\n  33 [size=\"40955904\", alpha=\"0.02\", expect_size=\"20477952\"] \n  33 -> 34 [size =\"20477952\"]\n  34 [size=\"15187968\", alpha=\"0.19\", expect_size=\"7593984\"] \n  34 -> 35 [size =\"7593984\"]\n  35 [size=\"84645888\", alpha=\"0.14\", expect_size=\"42322944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110673920\", alpha=\"0.18\", expect_size=\"44269568\"] \n  1 -> 2 [size =\"44269568\"]\n  2 [size=\"42690560\", alpha=\"0.02\", expect_size=\"17076224\"] \n  2 -> 3 [size =\"17076224\"]\n  3 [size=\"122790400\", alpha=\"0.04\", expect_size=\"49116160\"] \n  3 -> 4 [size =\"49116160\"]\n  4 [size=\"43315200\", alpha=\"0.19\", expect_size=\"17326080\"] \n  4 -> 5 [size =\"17326080\"]\n  5 [size=\"68807680\", alpha=\"0.02\", expect_size=\"27523072\"] \n  5 -> 6 [size =\"27523072\"]\n  6 [size=\"37035520\", alpha=\"0.18\", expect_size=\"14814208\"] \n  6 -> 7 [size =\"14814208\"]\n  7 [size=\"73786880\", alpha=\"0.08\", expect_size=\"29514752\"] \n  7 -> 8 [size =\"29514752\"]\n  8 [size=\"53260800\", alpha=\"0.15\", expect_size=\"21304320\"] \n  8 -> 9 [size =\"21304320\"]\n  9 [size=\"59604480\", alpha=\"0.02\", expect_size=\"23841792\"] \n  9 -> 10 [size =\"23841792\"]\n  10 [size=\"30118400\", alpha=\"0.00\", expect_size=\"12047360\"] \n  10 -> 11 [size =\"12047360\"]\n  11 [size=\"83850240\", alpha=\"0.01\", expect_size=\"33540096\"] \n  11 -> 12 [size =\"33540096\"]\n  12 [size=\"70586880\", alpha=\"0.18\", expect_size=\"28234752\"] \n  12 -> 13 [size =\"28234752\"]\n  13 [size=\"84090880\", alpha=\"0.19\", expect_size=\"33636352\"] \n  13 -> 14 [size =\"33636352\"]\n  14 [size=\"107512320\", alpha=\"0.09\", expect_size=\"43004928\"] \n  14 -> 15 [size =\"43004928\"]\n  15 [size=\"99089920\", alpha=\"0.08\", expect_size=\"39635968\"] \n  15 -> 16 [size =\"39635968\"]\n  16 [size=\"108057600\", alpha=\"0.15\", expect_size=\"43223040\"] \n  16 -> 17 [size =\"43223040\"]\n  17 [size=\"98444800\", alpha=\"0.11\", expect_size=\"39377920\"] \n  17 -> 18 [size =\"39377920\"]\n  18 [size=\"30054400\", alpha=\"0.11\", expect_size=\"12021760\"] \n  18 -> 19 [size =\"12021760\"]\n  19 [size=\"121111040\", alpha=\"0.08\", expect_size=\"48444416\"] \n  19 -> 20 [size =\"48444416\"]\n  20 [size=\"16977920\", alpha=\"0.13\", expect_size=\"6791168\"] \n  20 -> 21 [size =\"6791168\"]\n  21 [size=\"18145280\", alpha=\"0.15\", expect_size=\"7258112\"] \n  21 -> 22 [size =\"7258112\"]\n  22 [size=\"23592960\", alpha=\"0.01\", expect_size=\"9437184\"] \n  22 -> 23 [size =\"9437184\"]\n  23 [size=\"13255680\", alpha=\"0.06\", expect_size=\"5302272\"] \n  23 -> 24 [size =\"5302272\"]\n  24 [size=\"126144000\", alpha=\"0.17\", expect_size=\"50457600\"] \n  24 -> 25 [size =\"50457600\"]\n  25 [size=\"59312640\", alpha=\"0.16\", expect_size=\"23725056\"] \n  25 -> 26 [size =\"23725056\"]\n  26 [size=\"104363520\", alpha=\"0.00\", expect_size=\"41745408\"] \n  26 -> 27 [size =\"41745408\"]\n  27 [size=\"77754880\", alpha=\"0.14\", expect_size=\"31101952\"] \n  27 -> 28 [size =\"31101952\"]\n  28 [size=\"23424000\", alpha=\"0.15\", expect_size=\"9369600\"] \n  28 -> 29 [size =\"9369600\"]\n  29 [size=\"85665280\", alpha=\"0.04\", expect_size=\"34266112\"] \n  29 -> 30 [size =\"34266112\"]\n  30 [size=\"17149440\", alpha=\"0.15\", expect_size=\"6859776\"] \n  30 -> 31 [size =\"6859776\"]\n  31 [size=\"95854080\", alpha=\"0.19\", expect_size=\"38341632\"] \n  31 -> 32 [size =\"38341632\"]\n  32 [size=\"65448960\", alpha=\"0.12\", expect_size=\"26179584\"] \n  32 -> 33 [size =\"26179584\"]\n  33 [size=\"73487360\", alpha=\"0.18\", expect_size=\"29394944\"] \n  33 -> 34 [size =\"29394944\"]\n  34 [size=\"111687680\", alpha=\"0.19\", expect_size=\"44675072\"] \n  34 -> 35 [size =\"44675072\"]\n  35 [size=\"92293120\", alpha=\"0.15\", expect_size=\"36917248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90708480\", alpha=\"0.15\", expect_size=\"36283392\"] \n  1 -> 2 [size =\"36283392\"]\n  2 [size=\"77939200\", alpha=\"0.03\", expect_size=\"31175680\"] \n  2 -> 3 [size =\"31175680\"]\n  2 -> 4 [size =\"31175680\"]\n  3 [size=\"111365120\", alpha=\"0.00\", expect_size=\"44546048\"] \n  3 -> 6 [size =\"44546048\"]\n  4 [size=\"33937920\", alpha=\"0.04\", expect_size=\"13575168\"] \n  4 -> 5 [size =\"13575168\"]\n  5 [size=\"36244480\", alpha=\"0.12\", expect_size=\"14497792\"] \n  6 [size=\"119385600\", alpha=\"0.19\", expect_size=\"47754240\"] \n  6 -> 7 [size =\"47754240\"]\n  7 [size=\"53071360\", alpha=\"0.02\", expect_size=\"21228544\"] \n  7 -> 8 [size =\"21228544\"]\n  8 [size=\"63531520\", alpha=\"0.13\", expect_size=\"25412608\"] \n  8 -> 9 [size =\"25412608\"]\n  9 [size=\"71226880\", alpha=\"0.12\", expect_size=\"28490752\"] \n  9 -> 10 [size =\"28490752\"]\n  10 [size=\"39347200\", alpha=\"0.02\", expect_size=\"15738880\"] \n  10 -> 11 [size =\"15738880\"]\n  11 [size=\"74639360\", alpha=\"0.07\", expect_size=\"29855744\"] \n  11 -> 12 [size =\"29855744\"]\n  12 [size=\"45800960\", alpha=\"0.19\", expect_size=\"18320384\"] \n  12 -> 13 [size =\"18320384\"]\n  12 -> 14 [size =\"18320384\"]\n  13 [size=\"65966080\", alpha=\"0.03\", expect_size=\"26386432\"] \n  13 -> 15 [size =\"26386432\"]\n  13 -> 16 [size =\"26386432\"]\n  14 [size=\"68239360\", alpha=\"0.10\", expect_size=\"27295744\"] \n  15 [size=\"89057280\", alpha=\"0.06\", expect_size=\"35622912\"] \n  15 -> 17 [size =\"35622912\"]\n  16 [size=\"39060480\", alpha=\"0.11\", expect_size=\"15624192\"] \n  17 [size=\"35153920\", alpha=\"0.15\", expect_size=\"14061568\"] \n  17 -> 18 [size =\"14061568\"]\n  18 [size=\"49408000\", alpha=\"0.10\", expect_size=\"19763200\"] \n  18 -> 19 [size =\"19763200\"]\n  18 -> 20 [size =\"19763200\"]\n  19 [size=\"127288320\", alpha=\"0.06\", expect_size=\"50915328\"] \n  20 [size=\"82188800\", alpha=\"0.05\", expect_size=\"32875520\"] \n  20 -> 21 [size =\"32875520\"]\n  21 [size=\"92385280\", alpha=\"0.17\", expect_size=\"36954112\"] \n  21 -> 22 [size =\"36954112\"]\n  22 [size=\"14353920\", alpha=\"0.20\", expect_size=\"5741568\"] \n  22 -> 23 [size =\"5741568\"]\n  22 -> 24 [size =\"5741568\"]\n  23 [size=\"123740160\", alpha=\"0.19\", expect_size=\"49496064\"] \n  23 -> 25 [size =\"49496064\"]\n  23 -> 26 [size =\"49496064\"]\n  24 [size=\"25958400\", alpha=\"0.02\", expect_size=\"10383360\"] \n  25 [size=\"85324800\", alpha=\"0.09\", expect_size=\"34129920\"] \n  26 [size=\"118379520\", alpha=\"0.14\", expect_size=\"47351808\"] \n  26 -> 27 [size =\"47351808\"]\n  27 [size=\"66990080\", alpha=\"0.06\", expect_size=\"26796032\"] \n  27 -> 28 [size =\"26796032\"]\n  28 [size=\"39841280\", alpha=\"0.07\", expect_size=\"15936512\"] \n  28 -> 29 [size =\"15936512\"]\n  28 -> 30 [size =\"15936512\"]\n  29 [size=\"96898560\", alpha=\"0.17\", expect_size=\"38759424\"] \n  29 -> 31 [size =\"38759424\"]\n  29 -> 32 [size =\"38759424\"]\n  30 [size=\"13870080\", alpha=\"0.12\", expect_size=\"5548032\"] \n  31 [size=\"41653760\", alpha=\"0.17\", expect_size=\"16661504\"] \n  31 -> 33 [size =\"16661504\"]\n  32 [size=\"21921280\", alpha=\"0.07\", expect_size=\"8768512\"] \n  33 [size=\"19504640\", alpha=\"0.07\", expect_size=\"7801856\"] \n  33 -> 34 [size =\"7801856\"]\n  34 [size=\"14702080\", alpha=\"0.16\", expect_size=\"5880832\"] \n  34 -> 35 [size =\"5880832\"]\n  35 [size=\"28346880\", alpha=\"0.18\", expect_size=\"11338752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39335253\", alpha=\"0.09\", expect_size=\"11800576\"] \n  2 [size=\"58760533\", alpha=\"0.03\", expect_size=\"17628160\"] \n  2 -> 3 [size =\"17628160\"]\n  3 [size=\"166382933\", alpha=\"0.17\", expect_size=\"49914880\"] \n  3 -> 4 [size =\"49914880\"]\n  4 [size=\"108796587\", alpha=\"0.02\", expect_size=\"32638976\"] \n  4 -> 5 [size =\"32638976\"]\n  4 -> 6 [size =\"32638976\"]\n  5 [size=\"107325440\", alpha=\"0.12\", expect_size=\"32197632\"] \n  6 [size=\"167383040\", alpha=\"0.04\", expect_size=\"50214912\"] \n  6 -> 7 [size =\"50214912\"]\n  6 -> 8 [size =\"50214912\"]\n  7 [size=\"21452800\", alpha=\"0.00\", expect_size=\"6435840\"] \n  7 -> 10 [size =\"6435840\"]\n  8 [size=\"131102720\", alpha=\"0.08\", expect_size=\"39330816\"] \n  8 -> 9 [size =\"39330816\"]\n  9 [size=\"64699733\", alpha=\"0.09\", expect_size=\"19409920\"] \n  9 -> 11 [size =\"19409920\"]\n  10 [size=\"53899947\", alpha=\"0.14\", expect_size=\"16169984\"] \n  11 [size=\"143957333\", alpha=\"0.12\", expect_size=\"43187200\"] \n  11 -> 12 [size =\"43187200\"]\n  12 [size=\"55210667\", alpha=\"0.03\", expect_size=\"16563200\"] \n  12 -> 13 [size =\"16563200\"]\n  12 -> 14 [size =\"16563200\"]\n  13 [size=\"79148373\", alpha=\"0.07\", expect_size=\"23744512\"] \n  14 [size=\"52630187\", alpha=\"0.13\", expect_size=\"15789056\"] \n  14 -> 15 [size =\"15789056\"]\n  15 [size=\"67293867\", alpha=\"0.13\", expect_size=\"20188160\"] \n  15 -> 16 [size =\"20188160\"]\n  15 -> 17 [size =\"20188160\"]\n  16 [size=\"165587627\", alpha=\"0.15\", expect_size=\"49676288\"] \n  16 -> 18 [size =\"49676288\"]\n  17 [size=\"37014187\", alpha=\"0.12\", expect_size=\"11104256\"] \n  17 -> 19 [size =\"11104256\"]\n  18 [size=\"39468373\", alpha=\"0.19\", expect_size=\"11840512\"] \n  19 [size=\"105895253\", alpha=\"0.16\", expect_size=\"31768576\"] \n  19 -> 20 [size =\"31768576\"]\n  19 -> 21 [size =\"31768576\"]\n  20 [size=\"21227520\", alpha=\"0.11\", expect_size=\"6368256\"] \n  20 -> 22 [size =\"6368256\"]\n  21 [size=\"132543147\", alpha=\"0.08\", expect_size=\"39762944\"] \n  21 -> 23 [size =\"39762944\"]\n  22 [size=\"66450773\", alpha=\"0.11\", expect_size=\"19935232\"] \n  22 -> 24 [size =\"19935232\"]\n  23 [size=\"91682133\", alpha=\"0.12\", expect_size=\"27504640\"] \n  24 [size=\"145370453\", alpha=\"0.05\", expect_size=\"43611136\"] \n  24 -> 25 [size =\"43611136\"]\n  24 -> 26 [size =\"43611136\"]\n  25 [size=\"87524693\", alpha=\"0.10\", expect_size=\"26257408\"] \n  26 [size=\"30184107\", alpha=\"0.13\", expect_size=\"9055232\"] \n  26 -> 27 [size =\"9055232\"]\n  27 [size=\"148008960\", alpha=\"0.17\", expect_size=\"44402688\"] \n  27 -> 28 [size =\"44402688\"]\n  28 [size=\"83138560\", alpha=\"0.16\", expect_size=\"24941568\"] \n  28 -> 29 [size =\"24941568\"]\n  28 -> 30 [size =\"24941568\"]\n  29 [size=\"78254080\", alpha=\"0.00\", expect_size=\"23476224\"] \n  30 [size=\"47458987\", alpha=\"0.10\", expect_size=\"14237696\"] \n  30 -> 31 [size =\"14237696\"]\n  30 -> 32 [size =\"14237696\"]\n  31 [size=\"130990080\", alpha=\"0.15\", expect_size=\"39297024\"] \n  31 -> 33 [size =\"39297024\"]\n  32 [size=\"36140373\", alpha=\"0.05\", expect_size=\"10842112\"] \n  33 [size=\"118770347\", alpha=\"0.03\", expect_size=\"35631104\"] \n  33 -> 34 [size =\"35631104\"]\n  33 -> 35 [size =\"35631104\"]\n  34 [size=\"55927467\", alpha=\"0.05\", expect_size=\"16778240\"] \n  35 [size=\"96215040\", alpha=\"0.14\", expect_size=\"28864512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65945600\", alpha=\"0.04\", expect_size=\"19783680\"] \n  1 -> 2 [size =\"19783680\"]\n  2 [size=\"97058133\", alpha=\"0.09\", expect_size=\"29117440\"] \n  2 -> 3 [size =\"29117440\"]\n  3 [size=\"56265387\", alpha=\"0.19\", expect_size=\"16879616\"] \n  3 -> 4 [size =\"16879616\"]\n  4 [size=\"157354667\", alpha=\"0.18\", expect_size=\"47206400\"] \n  4 -> 5 [size =\"47206400\"]\n  5 [size=\"49250987\", alpha=\"0.15\", expect_size=\"14775296\"] \n  5 -> 6 [size =\"14775296\"]\n  6 [size=\"160921600\", alpha=\"0.18\", expect_size=\"48276480\"] \n  6 -> 7 [size =\"48276480\"]\n  7 [size=\"166932480\", alpha=\"0.06\", expect_size=\"50079744\"] \n  7 -> 8 [size =\"50079744\"]\n  8 [size=\"43199147\", alpha=\"0.16\", expect_size=\"12959744\"] \n  8 -> 9 [size =\"12959744\"]\n  9 [size=\"141073067\", alpha=\"0.07\", expect_size=\"42321920\"] \n  9 -> 10 [size =\"42321920\"]\n  10 [size=\"57811627\", alpha=\"0.05\", expect_size=\"17343488\"] \n  10 -> 11 [size =\"17343488\"]\n  11 [size=\"73338880\", alpha=\"0.13\", expect_size=\"22001664\"] \n  11 -> 12 [size =\"22001664\"]\n  12 [size=\"104659627\", alpha=\"0.14\", expect_size=\"31397888\"] \n  12 -> 13 [size =\"31397888\"]\n  13 [size=\"173298347\", alpha=\"0.18\", expect_size=\"51989504\"] \n  13 -> 14 [size =\"51989504\"]\n  14 [size=\"162430293\", alpha=\"0.09\", expect_size=\"48729088\"] \n  14 -> 15 [size =\"48729088\"]\n  15 [size=\"150084267\", alpha=\"0.12\", expect_size=\"45025280\"] \n  15 -> 16 [size =\"45025280\"]\n  16 [size=\"107857920\", alpha=\"0.03\", expect_size=\"32357376\"] \n  16 -> 17 [size =\"32357376\"]\n  17 [size=\"92617387\", alpha=\"0.15\", expect_size=\"27785216\"] \n  17 -> 18 [size =\"27785216\"]\n  18 [size=\"137707520\", alpha=\"0.08\", expect_size=\"41312256\"] \n  18 -> 19 [size =\"41312256\"]\n  19 [size=\"108779520\", alpha=\"0.06\", expect_size=\"32633856\"] \n  19 -> 20 [size =\"32633856\"]\n  20 [size=\"165867520\", alpha=\"0.09\", expect_size=\"49760256\"] \n  20 -> 21 [size =\"49760256\"]\n  21 [size=\"51606187\", alpha=\"0.18\", expect_size=\"15481856\"] \n  21 -> 22 [size =\"15481856\"]\n  22 [size=\"154402133\", alpha=\"0.17\", expect_size=\"46320640\"] \n  22 -> 23 [size =\"46320640\"]\n  23 [size=\"106823680\", alpha=\"0.01\", expect_size=\"32047104\"] \n  23 -> 24 [size =\"32047104\"]\n  24 [size=\"89989120\", alpha=\"0.03\", expect_size=\"26996736\"] \n  24 -> 25 [size =\"26996736\"]\n  25 [size=\"164249600\", alpha=\"0.09\", expect_size=\"49274880\"] \n  25 -> 26 [size =\"49274880\"]\n  26 [size=\"103226027\", alpha=\"0.13\", expect_size=\"30967808\"] \n  26 -> 27 [size =\"30967808\"]\n  27 [size=\"124357973\", alpha=\"0.16\", expect_size=\"37307392\"] \n  27 -> 28 [size =\"37307392\"]\n  28 [size=\"86835200\", alpha=\"0.02\", expect_size=\"26050560\"] \n  28 -> 29 [size =\"26050560\"]\n  29 [size=\"146237440\", alpha=\"0.04\", expect_size=\"43871232\"] \n  29 -> 30 [size =\"43871232\"]\n  30 [size=\"34529280\", alpha=\"0.12\", expect_size=\"10358784\"] \n  30 -> 31 [size =\"10358784\"]\n  31 [size=\"102468267\", alpha=\"0.06\", expect_size=\"30740480\"] \n  31 -> 32 [size =\"30740480\"]\n  32 [size=\"83954347\", alpha=\"0.11\", expect_size=\"25186304\"] \n  32 -> 33 [size =\"25186304\"]\n  33 [size=\"58572800\", alpha=\"0.17\", expect_size=\"17571840\"] \n  33 -> 34 [size =\"17571840\"]\n  34 [size=\"65112747\", alpha=\"0.00\", expect_size=\"19533824\"] \n  34 -> 35 [size =\"19533824\"]\n  35 [size=\"86166187\", alpha=\"0.01\", expect_size=\"25849856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99067904\", alpha=\"0.09\", expect_size=\"49533952\"] \n  1 -> 2 [size =\"49533952\"]\n  2 [size=\"38893568\", alpha=\"0.14\", expect_size=\"19446784\"] \n  2 -> 3 [size =\"19446784\"]\n  3 [size=\"83589120\", alpha=\"0.13\", expect_size=\"41794560\"] \n  3 -> 4 [size =\"41794560\"]\n  4 [size=\"28512256\", alpha=\"0.09\", expect_size=\"14256128\"] \n  4 -> 5 [size =\"14256128\"]\n  4 -> 6 [size =\"14256128\"]\n  5 [size=\"55052288\", alpha=\"0.14\", expect_size=\"27526144\"] \n  6 [size=\"100595712\", alpha=\"0.19\", expect_size=\"50297856\"] \n  6 -> 7 [size =\"50297856\"]\n  7 [size=\"41658368\", alpha=\"0.03\", expect_size=\"20829184\"] \n  7 -> 8 [size =\"20829184\"]\n  8 [size=\"98193408\", alpha=\"0.04\", expect_size=\"49096704\"] \n  8 -> 9 [size =\"49096704\"]\n  8 -> 10 [size =\"49096704\"]\n  9 [size=\"101828608\", alpha=\"0.13\", expect_size=\"50914304\"] \n  9 -> 11 [size =\"50914304\"]\n  10 [size=\"41433088\", alpha=\"0.06\", expect_size=\"20716544\"] \n  10 -> 11 [size =\"20716544\"]\n  11 [size=\"81405952\", alpha=\"0.03\", expect_size=\"40702976\"] \n  11 -> 12 [size =\"40702976\"]\n  12 [size=\"28616704\", alpha=\"0.00\", expect_size=\"14308352\"] \n  12 -> 13 [size =\"14308352\"]\n  13 [size=\"94992384\", alpha=\"0.03\", expect_size=\"47496192\"] \n  13 -> 14 [size =\"47496192\"]\n  14 [size=\"62177280\", alpha=\"0.13\", expect_size=\"31088640\"] \n  14 -> 15 [size =\"31088640\"]\n  15 [size=\"104011776\", alpha=\"0.11\", expect_size=\"52005888\"] \n  15 -> 16 [size =\"52005888\"]\n  16 [size=\"76318720\", alpha=\"0.15\", expect_size=\"38159360\"] \n  16 -> 17 [size =\"38159360\"]\n  17 [size=\"72273920\", alpha=\"0.17\", expect_size=\"36136960\"] \n  17 -> 18 [size =\"36136960\"]\n  17 -> 19 [size =\"36136960\"]\n  18 [size=\"85311488\", alpha=\"0.14\", expect_size=\"42655744\"] \n  18 -> 20 [size =\"42655744\"]\n  19 [size=\"102111232\", alpha=\"0.06\", expect_size=\"51055616\"] \n  19 -> 20 [size =\"51055616\"]\n  20 [size=\"67129344\", alpha=\"0.16\", expect_size=\"33564672\"] \n  20 -> 21 [size =\"33564672\"]\n  20 -> 22 [size =\"33564672\"]\n  21 [size=\"96419840\", alpha=\"0.04\", expect_size=\"48209920\"] \n  21 -> 23 [size =\"48209920\"]\n  21 -> 24 [size =\"48209920\"]\n  22 [size=\"14202880\", alpha=\"0.18\", expect_size=\"7101440\"] \n  22 -> 23 [size =\"7101440\"]\n  23 [size=\"15611904\", alpha=\"0.08\", expect_size=\"7805952\"] \n  24 [size=\"31893504\", alpha=\"0.01\", expect_size=\"15946752\"] \n  24 -> 25 [size =\"15946752\"]\n  25 [size=\"93855744\", alpha=\"0.04\", expect_size=\"46927872\"] \n  25 -> 26 [size =\"46927872\"]\n  26 [size=\"51601408\", alpha=\"0.06\", expect_size=\"25800704\"] \n  26 -> 27 [size =\"25800704\"]\n  26 -> 28 [size =\"25800704\"]\n  27 [size=\"28131328\", alpha=\"0.15\", expect_size=\"14065664\"] \n  27 -> 29 [size =\"14065664\"]\n  28 [size=\"15687680\", alpha=\"0.03\", expect_size=\"7843840\"] \n  28 -> 29 [size =\"7843840\"]\n  29 [size=\"80910336\", alpha=\"0.09\", expect_size=\"40455168\"] \n  29 -> 30 [size =\"40455168\"]\n  30 [size=\"15448064\", alpha=\"0.02\", expect_size=\"7724032\"] \n  30 -> 31 [size =\"7724032\"]\n  30 -> 32 [size =\"7724032\"]\n  31 [size=\"88983552\", alpha=\"0.11\", expect_size=\"44491776\"] \n  31 -> 33 [size =\"44491776\"]\n  31 -> 34 [size =\"44491776\"]\n  32 [size=\"12613632\", alpha=\"0.03\", expect_size=\"6306816\"] \n  32 -> 33 [size =\"6306816\"]\n  33 [size=\"97859584\", alpha=\"0.13\", expect_size=\"48929792\"] \n  33 -> 35 [size =\"48929792\"]\n  34 [size=\"40339456\", alpha=\"0.14\", expect_size=\"20169728\"] \n  34 -> 35 [size =\"20169728\"]\n  35 [size=\"46825472\", alpha=\"0.14\", expect_size=\"23412736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52527104\", alpha=\"0.17\", expect_size=\"26263552\"] \n  1 -> 13 [size =\"26263552\"]\n  1 -> 17 [size =\"26263552\"]\n  2 [size=\"43972608\", alpha=\"0.02\", expect_size=\"21986304\"] \n  2 -> 15 [size =\"21986304\"]\n  2 -> 17 [size =\"21986304\"]\n  3 [size=\"48293888\", alpha=\"0.01\", expect_size=\"24146944\"] \n  3 -> 14 [size =\"24146944\"]\n  3 -> 15 [size =\"24146944\"]\n  3 -> 17 [size =\"24146944\"]\n  4 [size=\"13404160\", alpha=\"0.06\", expect_size=\"6702080\"] \n  4 -> 12 [size =\"6702080\"]\n  4 -> 14 [size =\"6702080\"]\n  4 -> 15 [size =\"6702080\"]\n  4 -> 17 [size =\"6702080\"]\n  5 [size=\"29874176\", alpha=\"0.19\", expect_size=\"14937088\"] \n  5 -> 12 [size =\"14937088\"]\n  5 -> 15 [size =\"14937088\"]\n  5 -> 17 [size =\"14937088\"]\n  6 [size=\"79546368\", alpha=\"0.15\", expect_size=\"39773184\"] \n  6 -> 11 [size =\"39773184\"]\n  6 -> 12 [size =\"39773184\"]\n  6 -> 16 [size =\"39773184\"]\n  6 -> 18 [size =\"39773184\"]\n  7 [size=\"22169600\", alpha=\"0.13\", expect_size=\"11084800\"] \n  7 -> 12 [size =\"11084800\"]\n  7 -> 12 [size =\"11084800\"]\n  7 -> 15 [size =\"11084800\"]\n  7 -> 17 [size =\"11084800\"]\n  7 -> 18 [size =\"11084800\"]\n  8 [size=\"45772800\", alpha=\"0.08\", expect_size=\"22886400\"] \n  8 -> 11 [size =\"22886400\"]\n  8 -> 12 [size =\"22886400\"]\n  8 -> 14 [size =\"22886400\"]\n  8 -> 15 [size =\"22886400\"]\n  8 -> 17 [size =\"22886400\"]\n  8 -> 18 [size =\"22886400\"]\n  9 [size=\"87789568\", alpha=\"0.15\", expect_size=\"43894784\"] \n  9 -> 15 [size =\"43894784\"]\n  9 -> 18 [size =\"43894784\"]\n  10 [size=\"21180416\", alpha=\"0.15\", expect_size=\"10590208\"] \n  10 -> 15 [size =\"10590208\"]\n  10 -> 17 [size =\"10590208\"]\n  11 [size=\"83439616\", alpha=\"0.17\", expect_size=\"41719808\"] \n  11 -> 21 [size =\"41719808\"]\n  11 -> 22 [size =\"41719808\"]\n  11 -> 23 [size =\"41719808\"]\n  11 -> 26 [size =\"41719808\"]\n  11 -> 27 [size =\"41719808\"]\n  11 -> 28 [size =\"41719808\"]\n  11 -> 29 [size =\"41719808\"]\n  11 -> 30 [size =\"41719808\"]\n  11 -> 33 [size =\"41719808\"]\n  12 [size=\"69201920\", alpha=\"0.01\", expect_size=\"34600960\"] \n  12 -> 19 [size =\"34600960\"]\n  12 -> 20 [size =\"34600960\"]\n  12 -> 21 [size =\"34600960\"]\n  12 -> 24 [size =\"34600960\"]\n  12 -> 28 [size =\"34600960\"]\n  12 -> 30 [size =\"34600960\"]\n  12 -> 31 [size =\"34600960\"]\n  13 [size=\"79347712\", alpha=\"0.14\", expect_size=\"39673856\"] \n  13 -> 19 [size =\"39673856\"]\n  13 -> 24 [size =\"39673856\"]\n  13 -> 25 [size =\"39673856\"]\n  13 -> 26 [size =\"39673856\"]\n  13 -> 28 [size =\"39673856\"]\n  13 -> 30 [size =\"39673856\"]\n  13 -> 33 [size =\"39673856\"]\n  14 [size=\"84897792\", alpha=\"0.09\", expect_size=\"42448896\"] \n  14 -> 19 [size =\"42448896\"]\n  14 -> 24 [size =\"42448896\"]\n  14 -> 28 [size =\"42448896\"]\n  14 -> 29 [size =\"42448896\"]\n  14 -> 30 [size =\"42448896\"]\n  14 -> 31 [size =\"42448896\"]\n  14 -> 32 [size =\"42448896\"]\n  15 [size=\"17004544\", alpha=\"0.07\", expect_size=\"8502272\"] \n  15 -> 19 [size =\"8502272\"]\n  15 -> 20 [size =\"8502272\"]\n  15 -> 24 [size =\"8502272\"]\n  15 -> 28 [size =\"8502272\"]\n  15 -> 29 [size =\"8502272\"]\n  15 -> 33 [size =\"8502272\"]\n  16 [size=\"14120960\", alpha=\"0.10\", expect_size=\"7060480\"] \n  16 -> 19 [size =\"7060480\"]\n  16 -> 22 [size =\"7060480\"]\n  16 -> 23 [size =\"7060480\"]\n  16 -> 24 [size =\"7060480\"]\n  16 -> 25 [size =\"7060480\"]\n  16 -> 28 [size =\"7060480\"]\n  16 -> 30 [size =\"7060480\"]\n  16 -> 31 [size =\"7060480\"]\n  16 -> 33 [size =\"7060480\"]\n  17 [size=\"85991424\", alpha=\"0.16\", expect_size=\"42995712\"] \n  17 -> 19 [size =\"42995712\"]\n  17 -> 20 [size =\"42995712\"]\n  17 -> 23 [size =\"42995712\"]\n  17 -> 24 [size =\"42995712\"]\n  17 -> 25 [size =\"42995712\"]\n  17 -> 28 [size =\"42995712\"]\n  17 -> 30 [size =\"42995712\"]\n  17 -> 31 [size =\"42995712\"]\n  17 -> 33 [size =\"42995712\"]\n  18 [size=\"55220224\", alpha=\"0.01\", expect_size=\"27610112\"] \n  18 -> 19 [size =\"27610112\"]\n  18 -> 22 [size =\"27610112\"]\n  18 -> 23 [size =\"27610112\"]\n  18 -> 25 [size =\"27610112\"]\n  18 -> 26 [size =\"27610112\"]\n  18 -> 28 [size =\"27610112\"]\n  18 -> 29 [size =\"27610112\"]\n  18 -> 30 [size =\"27610112\"]\n  18 -> 31 [size =\"27610112\"]\n  18 -> 33 [size =\"27610112\"]\n  19 [size=\"94238720\", alpha=\"0.09\", expect_size=\"47119360\"] \n  19 -> 34 [size =\"47119360\"]\n  20 [size=\"72878080\", alpha=\"0.19\", expect_size=\"36439040\"] \n  20 -> 34 [size =\"36439040\"]\n  21 [size=\"47568896\", alpha=\"0.17\", expect_size=\"23784448\"] \n  21 -> 34 [size =\"23784448\"]\n  22 [size=\"34377728\", alpha=\"0.03\", expect_size=\"17188864\"] \n  22 -> 34 [size =\"17188864\"]\n  23 [size=\"39424000\", alpha=\"0.17\", expect_size=\"19712000\"] \n  23 -> 34 [size =\"19712000\"]\n  24 [size=\"103452672\", alpha=\"0.11\", expect_size=\"51726336\"] \n  24 -> 34 [size =\"51726336\"]\n  25 [size=\"53884928\", alpha=\"0.09\", expect_size=\"26942464\"] \n  26 [size=\"88764416\", alpha=\"0.03\", expect_size=\"44382208\"] \n  26 -> 34 [size =\"44382208\"]\n  26 -> 35 [size =\"44382208\"]\n  27 [size=\"39256064\", alpha=\"0.18\", expect_size=\"19628032\"] \n  28 [size=\"20424704\", alpha=\"0.01\", expect_size=\"10212352\"] \n  28 -> 35 [size =\"10212352\"]\n  29 [size=\"25264128\", alpha=\"0.00\", expect_size=\"12632064\"] \n  30 [size=\"68491264\", alpha=\"0.02\", expect_size=\"34245632\"] \n  30 -> 34 [size =\"34245632\"]\n  31 [size=\"62949376\", alpha=\"0.19\", expect_size=\"31474688\"] \n  31 -> 34 [size =\"31474688\"]\n  31 -> 35 [size =\"31474688\"]\n  32 [size=\"50681856\", alpha=\"0.09\", expect_size=\"25340928\"] \n  32 -> 34 [size =\"25340928\"]\n  32 -> 35 [size =\"25340928\"]\n  33 [size=\"65175552\", alpha=\"0.13\", expect_size=\"32587776\"] \n  33 -> 34 [size =\"32587776\"]\n  34 [size=\"49870848\", alpha=\"0.13\", expect_size=\"24935424\"] \n  35 [size=\"102055936\", alpha=\"0.14\", expect_size=\"51027968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17694720\", alpha=\"0.06\", expect_size=\"8847360\"] \n  1 -> 5 [size =\"8847360\"]\n  1 -> 8 [size =\"8847360\"]\n  1 -> 9 [size =\"8847360\"]\n  2 [size=\"19970048\", alpha=\"0.17\", expect_size=\"9985024\"] \n  3 [size=\"88850432\", alpha=\"0.12\", expect_size=\"44425216\"] \n  3 -> 7 [size =\"44425216\"]\n  4 [size=\"65673216\", alpha=\"0.13\", expect_size=\"32836608\"] \n  4 -> 5 [size =\"32836608\"]\n  4 -> 6 [size =\"32836608\"]\n  4 -> 8 [size =\"32836608\"]\n  5 [size=\"47409152\", alpha=\"0.02\", expect_size=\"23704576\"] \n  5 -> 10 [size =\"23704576\"]\n  5 -> 13 [size =\"23704576\"]\n  6 [size=\"86515712\", alpha=\"0.17\", expect_size=\"43257856\"] \n  6 -> 10 [size =\"43257856\"]\n  6 -> 11 [size =\"43257856\"]\n  6 -> 12 [size =\"43257856\"]\n  7 [size=\"87513088\", alpha=\"0.11\", expect_size=\"43756544\"] \n  7 -> 11 [size =\"43756544\"]\n  7 -> 12 [size =\"43756544\"]\n  8 [size=\"12085248\", alpha=\"0.03\", expect_size=\"6042624\"] \n  8 -> 12 [size =\"6042624\"]\n  8 -> 13 [size =\"6042624\"]\n  9 [size=\"19224576\", alpha=\"0.09\", expect_size=\"9612288\"] \n  9 -> 10 [size =\"9612288\"]\n  9 -> 11 [size =\"9612288\"]\n  9 -> 13 [size =\"9612288\"]\n  10 [size=\"99835904\", alpha=\"0.17\", expect_size=\"49917952\"] \n  10 -> 14 [size =\"49917952\"]\n  10 -> 15 [size =\"49917952\"]\n  10 -> 17 [size =\"49917952\"]\n  11 [size=\"89233408\", alpha=\"0.12\", expect_size=\"44616704\"] \n  11 -> 14 [size =\"44616704\"]\n  11 -> 15 [size =\"44616704\"]\n  11 -> 17 [size =\"44616704\"]\n  12 [size=\"23267328\", alpha=\"0.19\", expect_size=\"11633664\"] \n  12 -> 16 [size =\"11633664\"]\n  13 [size=\"103700480\", alpha=\"0.20\", expect_size=\"51850240\"] \n  13 -> 15 [size =\"51850240\"]\n  13 -> 16 [size =\"51850240\"]\n  13 -> 17 [size =\"51850240\"]\n  14 [size=\"67846144\", alpha=\"0.07\", expect_size=\"33923072\"] \n  14 -> 18 [size =\"33923072\"]\n  15 [size=\"37113856\", alpha=\"0.04\", expect_size=\"18556928\"] \n  15 -> 18 [size =\"18556928\"]\n  16 [size=\"45770752\", alpha=\"0.07\", expect_size=\"22885376\"] \n  16 -> 19 [size =\"22885376\"]\n  17 [size=\"29790208\", alpha=\"0.06\", expect_size=\"14895104\"] \n  17 -> 18 [size =\"14895104\"]\n  17 -> 19 [size =\"14895104\"]\n  17 -> 20 [size =\"14895104\"]\n  17 -> 21 [size =\"14895104\"]\n  18 [size=\"82030592\", alpha=\"0.12\", expect_size=\"41015296\"] \n  18 -> 23 [size =\"41015296\"]\n  18 -> 24 [size =\"41015296\"]\n  19 [size=\"95217664\", alpha=\"0.05\", expect_size=\"47608832\"] \n  19 -> 23 [size =\"47608832\"]\n  19 -> 25 [size =\"47608832\"]\n  19 -> 26 [size =\"47608832\"]\n  20 [size=\"43642880\", alpha=\"0.20\", expect_size=\"21821440\"] \n  20 -> 22 [size =\"21821440\"]\n  20 -> 24 [size =\"21821440\"]\n  20 -> 25 [size =\"21821440\"]\n  21 [size=\"27666432\", alpha=\"0.16\", expect_size=\"13833216\"] \n  22 [size=\"85078016\", alpha=\"0.14\", expect_size=\"42539008\"] \n  22 -> 28 [size =\"42539008\"]\n  22 -> 29 [size =\"42539008\"]\n  23 [size=\"81025024\", alpha=\"0.09\", expect_size=\"40512512\"] \n  23 -> 27 [size =\"40512512\"]\n  23 -> 29 [size =\"40512512\"]\n  24 [size=\"80539648\", alpha=\"0.15\", expect_size=\"40269824\"] \n  24 -> 27 [size =\"40269824\"]\n  24 -> 29 [size =\"40269824\"]\n  24 -> 30 [size =\"40269824\"]\n  25 [size=\"19265536\", alpha=\"0.09\", expect_size=\"9632768\"] \n  26 [size=\"38002688\", alpha=\"0.19\", expect_size=\"19001344\"] \n  26 -> 28 [size =\"19001344\"]\n  27 [size=\"68892672\", alpha=\"0.06\", expect_size=\"34446336\"] \n  27 -> 32 [size =\"34446336\"]\n  28 [size=\"98885632\", alpha=\"0.13\", expect_size=\"49442816\"] \n  28 -> 31 [size =\"49442816\"]\n  28 -> 32 [size =\"49442816\"]\n  28 -> 34 [size =\"49442816\"]\n  29 [size=\"60203008\", alpha=\"0.02\", expect_size=\"30101504\"] \n  29 -> 34 [size =\"30101504\"]\n  30 [size=\"85774336\", alpha=\"0.10\", expect_size=\"42887168\"] \n  30 -> 31 [size =\"42887168\"]\n  30 -> 33 [size =\"42887168\"]\n  30 -> 34 [size =\"42887168\"]\n  31 [size=\"85442560\", alpha=\"0.14\", expect_size=\"42721280\"] \n  31 -> 35 [size =\"42721280\"]\n  32 [size=\"66416640\", alpha=\"0.01\", expect_size=\"33208320\"] \n  33 [size=\"38182912\", alpha=\"0.08\", expect_size=\"19091456\"] \n  34 [size=\"79106048\", alpha=\"0.07\", expect_size=\"39553024\"] \n  34 -> 35 [size =\"39553024\"]\n  35 [size=\"55631872\", alpha=\"0.12\", expect_size=\"27815936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83142656\", alpha=\"0.10\", expect_size=\"41571328\"] \n  1 -> 2 [size =\"41571328\"]\n  2 [size=\"32727040\", alpha=\"0.15\", expect_size=\"16363520\"] \n  2 -> 3 [size =\"16363520\"]\n  3 [size=\"60555264\", alpha=\"0.13\", expect_size=\"30277632\"] \n  3 -> 4 [size =\"30277632\"]\n  4 [size=\"103063552\", alpha=\"0.18\", expect_size=\"51531776\"] \n  4 -> 5 [size =\"51531776\"]\n  5 [size=\"46356480\", alpha=\"0.07\", expect_size=\"23178240\"] \n  5 -> 6 [size =\"23178240\"]\n  6 [size=\"15935488\", alpha=\"0.07\", expect_size=\"7967744\"] \n  6 -> 7 [size =\"7967744\"]\n  7 [size=\"39684096\", alpha=\"0.13\", expect_size=\"19842048\"] \n  7 -> 8 [size =\"19842048\"]\n  8 [size=\"94969856\", alpha=\"0.07\", expect_size=\"47484928\"] \n  8 -> 9 [size =\"47484928\"]\n  9 [size=\"17055744\", alpha=\"0.12\", expect_size=\"8527872\"] \n  9 -> 10 [size =\"8527872\"]\n  10 [size=\"33433600\", alpha=\"0.11\", expect_size=\"16716800\"] \n  10 -> 11 [size =\"16716800\"]\n  11 [size=\"101672960\", alpha=\"0.06\", expect_size=\"50836480\"] \n  11 -> 12 [size =\"50836480\"]\n  12 [size=\"53635072\", alpha=\"0.10\", expect_size=\"26817536\"] \n  12 -> 13 [size =\"26817536\"]\n  13 [size=\"28934144\", alpha=\"0.07\", expect_size=\"14467072\"] \n  13 -> 14 [size =\"14467072\"]\n  14 [size=\"89653248\", alpha=\"0.11\", expect_size=\"44826624\"] \n  14 -> 15 [size =\"44826624\"]\n  15 [size=\"79802368\", alpha=\"0.08\", expect_size=\"39901184\"] \n  15 -> 16 [size =\"39901184\"]\n  16 [size=\"20359168\", alpha=\"0.11\", expect_size=\"10179584\"] \n  16 -> 17 [size =\"10179584\"]\n  17 [size=\"55644160\", alpha=\"0.01\", expect_size=\"27822080\"] \n  17 -> 18 [size =\"27822080\"]\n  18 [size=\"22005760\", alpha=\"0.16\", expect_size=\"11002880\"] \n  18 -> 19 [size =\"11002880\"]\n  19 [size=\"55648256\", alpha=\"0.05\", expect_size=\"27824128\"] \n  19 -> 20 [size =\"27824128\"]\n  20 [size=\"19038208\", alpha=\"0.05\", expect_size=\"9519104\"] \n  20 -> 21 [size =\"9519104\"]\n  21 [size=\"70881280\", alpha=\"0.00\", expect_size=\"35440640\"] \n  21 -> 22 [size =\"35440640\"]\n  22 [size=\"97607680\", alpha=\"0.01\", expect_size=\"48803840\"] \n  22 -> 23 [size =\"48803840\"]\n  23 [size=\"51963904\", alpha=\"0.12\", expect_size=\"25981952\"] \n  23 -> 24 [size =\"25981952\"]\n  24 [size=\"87326720\", alpha=\"0.02\", expect_size=\"43663360\"] \n  24 -> 25 [size =\"43663360\"]\n  25 [size=\"46632960\", alpha=\"0.00\", expect_size=\"23316480\"] \n  25 -> 26 [size =\"23316480\"]\n  26 [size=\"85452800\", alpha=\"0.20\", expect_size=\"42726400\"] \n  26 -> 27 [size =\"42726400\"]\n  27 [size=\"45092864\", alpha=\"0.05\", expect_size=\"22546432\"] \n  27 -> 28 [size =\"22546432\"]\n  28 [size=\"51324928\", alpha=\"0.08\", expect_size=\"25662464\"] \n  28 -> 29 [size =\"25662464\"]\n  29 [size=\"33196032\", alpha=\"0.13\", expect_size=\"16598016\"] \n  29 -> 30 [size =\"16598016\"]\n  30 [size=\"54716416\", alpha=\"0.03\", expect_size=\"27358208\"] \n  30 -> 31 [size =\"27358208\"]\n  31 [size=\"77142016\", alpha=\"0.12\", expect_size=\"38571008\"] \n  31 -> 32 [size =\"38571008\"]\n  32 [size=\"78757888\", alpha=\"0.10\", expect_size=\"39378944\"] \n  32 -> 33 [size =\"39378944\"]\n  33 [size=\"81805312\", alpha=\"0.12\", expect_size=\"40902656\"] \n  33 -> 34 [size =\"40902656\"]\n  34 [size=\"41984000\", alpha=\"0.11\", expect_size=\"20992000\"] \n  34 -> 35 [size =\"20992000\"]\n  35 [size=\"51871744\", alpha=\"0.04\", expect_size=\"25935872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79976960\", alpha=\"0.01\", expect_size=\"31990784\"] \n  1 -> 3 [size =\"31990784\"]\n  1 -> 4 [size =\"31990784\"]\n  2 [size=\"90757120\", alpha=\"0.17\", expect_size=\"36302848\"] \n  2 -> 3 [size =\"36302848\"]\n  2 -> 4 [size =\"36302848\"]\n  3 [size=\"47892480\", alpha=\"0.11\", expect_size=\"19156992\"] \n  3 -> 5 [size =\"19156992\"]\n  4 [size=\"16678400\", alpha=\"0.05\", expect_size=\"6671360\"] \n  4 -> 5 [size =\"6671360\"]\n  4 -> 6 [size =\"6671360\"]\n  5 [size=\"22120960\", alpha=\"0.05\", expect_size=\"8848384\"] \n  5 -> 7 [size =\"8848384\"]\n  5 -> 8 [size =\"8848384\"]\n  6 [size=\"28359680\", alpha=\"0.03\", expect_size=\"11343872\"] \n  6 -> 8 [size =\"11343872\"]\n  7 [size=\"64949760\", alpha=\"0.17\", expect_size=\"25979904\"] \n  7 -> 9 [size =\"25979904\"]\n  8 [size=\"70791680\", alpha=\"0.00\", expect_size=\"28316672\"] \n  9 [size=\"42104320\", alpha=\"0.17\", expect_size=\"16841728\"] \n  9 -> 10 [size =\"16841728\"]\n  10 [size=\"100441600\", alpha=\"0.19\", expect_size=\"40176640\"] \n  10 -> 11 [size =\"40176640\"]\n  10 -> 12 [size =\"40176640\"]\n  11 [size=\"59023360\", alpha=\"0.04\", expect_size=\"23609344\"] \n  11 -> 13 [size =\"23609344\"]\n  12 [size=\"63040000\", alpha=\"0.05\", expect_size=\"25216000\"] \n  13 [size=\"44951040\", alpha=\"0.15\", expect_size=\"17980416\"] \n  13 -> 14 [size =\"17980416\"]\n  13 -> 15 [size =\"17980416\"]\n  14 [size=\"110952960\", alpha=\"0.20\", expect_size=\"44381184\"] \n  14 -> 16 [size =\"44381184\"]\n  14 -> 17 [size =\"44381184\"]\n  15 [size=\"21962240\", alpha=\"0.10\", expect_size=\"8784896\"] \n  15 -> 16 [size =\"8784896\"]\n  15 -> 17 [size =\"8784896\"]\n  16 [size=\"49221120\", alpha=\"0.12\", expect_size=\"19688448\"] \n  16 -> 18 [size =\"19688448\"]\n  17 [size=\"66014720\", alpha=\"0.02\", expect_size=\"26405888\"] \n  18 [size=\"47580160\", alpha=\"0.09\", expect_size=\"19032064\"] \n  18 -> 19 [size =\"19032064\"]\n  19 [size=\"48471040\", alpha=\"0.20\", expect_size=\"19388416\"] \n  19 -> 20 [size =\"19388416\"]\n  19 -> 21 [size =\"19388416\"]\n  20 [size=\"31892480\", alpha=\"0.09\", expect_size=\"12756992\"] \n  21 [size=\"27299840\", alpha=\"0.10\", expect_size=\"10919936\"] \n  21 -> 22 [size =\"10919936\"]\n  22 [size=\"48230400\", alpha=\"0.05\", expect_size=\"19292160\"] \n  22 -> 23 [size =\"19292160\"]\n  22 -> 24 [size =\"19292160\"]\n  23 [size=\"79682560\", alpha=\"0.05\", expect_size=\"31873024\"] \n  23 -> 25 [size =\"31873024\"]\n  24 [size=\"48650240\", alpha=\"0.05\", expect_size=\"19460096\"] \n  25 [size=\"47616000\", alpha=\"0.07\", expect_size=\"19046400\"] \n  25 -> 26 [size =\"19046400\"]\n  25 -> 27 [size =\"19046400\"]\n  26 [size=\"104268800\", alpha=\"0.12\", expect_size=\"41707520\"] \n  26 -> 28 [size =\"41707520\"]\n  27 [size=\"54192640\", alpha=\"0.06\", expect_size=\"21677056\"] \n  28 [size=\"67778560\", alpha=\"0.09\", expect_size=\"27111424\"] \n  28 -> 29 [size =\"27111424\"]\n  28 -> 30 [size =\"27111424\"]\n  29 [size=\"123046400\", alpha=\"0.17\", expect_size=\"49218560\"] \n  29 -> 31 [size =\"49218560\"]\n  30 [size=\"122193920\", alpha=\"0.00\", expect_size=\"48877568\"] \n  30 -> 31 [size =\"48877568\"]\n  31 [size=\"60047360\", alpha=\"0.11\", expect_size=\"24018944\"] \n  31 -> 32 [size =\"24018944\"]\n  31 -> 33 [size =\"24018944\"]\n  32 [size=\"121441280\", alpha=\"0.10\", expect_size=\"48576512\"] \n  33 [size=\"30131200\", alpha=\"0.15\", expect_size=\"12052480\"] \n  33 -> 34 [size =\"12052480\"]\n  34 [size=\"56839680\", alpha=\"0.16\", expect_size=\"22735872\"] \n  34 -> 35 [size =\"22735872\"]\n  35 [size=\"87173120\", alpha=\"0.19\", expect_size=\"34869248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130396160\", alpha=\"0.17\", expect_size=\"39118848\"] \n  1 -> 5 [size =\"39118848\"]\n  2 [size=\"138414080\", alpha=\"0.13\", expect_size=\"41524224\"] \n  2 -> 5 [size =\"41524224\"]\n  2 -> 6 [size =\"41524224\"]\n  2 -> 9 [size =\"41524224\"]\n  3 [size=\"142906027\", alpha=\"0.02\", expect_size=\"42871808\"] \n  3 -> 7 [size =\"42871808\"]\n  3 -> 8 [size =\"42871808\"]\n  4 [size=\"127580160\", alpha=\"0.16\", expect_size=\"38274048\"] \n  4 -> 8 [size =\"38274048\"]\n  5 [size=\"112073387\", alpha=\"0.11\", expect_size=\"33622016\"] \n  5 -> 10 [size =\"33622016\"]\n  5 -> 12 [size =\"33622016\"]\n  6 [size=\"144834560\", alpha=\"0.10\", expect_size=\"43450368\"] \n  6 -> 10 [size =\"43450368\"]\n  6 -> 11 [size =\"43450368\"]\n  6 -> 12 [size =\"43450368\"]\n  7 [size=\"108475733\", alpha=\"0.01\", expect_size=\"32542720\"] \n  8 [size=\"162754560\", alpha=\"0.09\", expect_size=\"48826368\"] \n  8 -> 12 [size =\"48826368\"]\n  8 -> 13 [size =\"48826368\"]\n  9 [size=\"93873493\", alpha=\"0.16\", expect_size=\"28162048\"] \n  9 -> 10 [size =\"28162048\"]\n  10 [size=\"159153493\", alpha=\"0.10\", expect_size=\"47746048\"] \n  10 -> 16 [size =\"47746048\"]\n  11 [size=\"103191893\", alpha=\"0.12\", expect_size=\"30957568\"] \n  11 -> 17 [size =\"30957568\"]\n  12 [size=\"76605440\", alpha=\"0.02\", expect_size=\"22981632\"] \n  12 -> 14 [size =\"22981632\"]\n  12 -> 15 [size =\"22981632\"]\n  13 [size=\"22446080\", alpha=\"0.04\", expect_size=\"6733824\"] \n  13 -> 14 [size =\"6733824\"]\n  14 [size=\"41885013\", alpha=\"0.19\", expect_size=\"12565504\"] \n  14 -> 18 [size =\"12565504\"]\n  14 -> 19 [size =\"12565504\"]\n  14 -> 20 [size =\"12565504\"]\n  14 -> 21 [size =\"12565504\"]\n  15 [size=\"171335680\", alpha=\"0.13\", expect_size=\"51400704\"] \n  15 -> 18 [size =\"51400704\"]\n  15 -> 20 [size =\"51400704\"]\n  15 -> 21 [size =\"51400704\"]\n  16 [size=\"102263467\", alpha=\"0.17\", expect_size=\"30679040\"] \n  17 [size=\"23763627\", alpha=\"0.07\", expect_size=\"7129088\"] \n  18 [size=\"30395733\", alpha=\"0.01\", expect_size=\"9118720\"] \n  18 -> 25 [size =\"9118720\"]\n  19 [size=\"105021440\", alpha=\"0.03\", expect_size=\"31506432\"] \n  19 -> 22 [size =\"31506432\"]\n  20 [size=\"74178560\", alpha=\"0.19\", expect_size=\"22253568\"] \n  20 -> 23 [size =\"22253568\"]\n  21 [size=\"155200853\", alpha=\"0.09\", expect_size=\"46560256\"] \n  21 -> 24 [size =\"46560256\"]\n  21 -> 25 [size =\"46560256\"]\n  21 -> 26 [size =\"46560256\"]\n  22 [size=\"92299947\", alpha=\"0.14\", expect_size=\"27689984\"] \n  22 -> 32 [size =\"27689984\"]\n  23 [size=\"109451947\", alpha=\"0.15\", expect_size=\"32835584\"] \n  23 -> 29 [size =\"32835584\"]\n  23 -> 31 [size =\"32835584\"]\n  24 [size=\"140578133\", alpha=\"0.10\", expect_size=\"42173440\"] \n  24 -> 31 [size =\"42173440\"]\n  24 -> 32 [size =\"42173440\"]\n  25 [size=\"131587413\", alpha=\"0.18\", expect_size=\"39476224\"] \n  25 -> 28 [size =\"39476224\"]\n  25 -> 29 [size =\"39476224\"]\n  25 -> 32 [size =\"39476224\"]\n  26 [size=\"78172160\", alpha=\"0.01\", expect_size=\"23451648\"] \n  26 -> 27 [size =\"23451648\"]\n  26 -> 28 [size =\"23451648\"]\n  26 -> 30 [size =\"23451648\"]\n  26 -> 31 [size =\"23451648\"]\n  27 [size=\"53691733\", alpha=\"0.16\", expect_size=\"16107520\"] \n  27 -> 33 [size =\"16107520\"]\n  28 [size=\"106202453\", alpha=\"0.10\", expect_size=\"31860736\"] \n  28 -> 34 [size =\"31860736\"]\n  29 [size=\"113500160\", alpha=\"0.13\", expect_size=\"34050048\"] \n  30 [size=\"136939520\", alpha=\"0.14\", expect_size=\"41081856\"] \n  30 -> 35 [size =\"41081856\"]\n  31 [size=\"125736960\", alpha=\"0.07\", expect_size=\"37721088\"] \n  31 -> 33 [size =\"37721088\"]\n  31 -> 34 [size =\"37721088\"]\n  31 -> 35 [size =\"37721088\"]\n  32 [size=\"35532800\", alpha=\"0.06\", expect_size=\"10659840\"] \n  32 -> 35 [size =\"10659840\"]\n  33 [size=\"144547840\", alpha=\"0.07\", expect_size=\"43364352\"] \n  34 [size=\"106356053\", alpha=\"0.10\", expect_size=\"31906816\"] \n  35 [size=\"31057920\", alpha=\"0.13\", expect_size=\"9317376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104146944\", alpha=\"0.16\", expect_size=\"52073472\"] \n  1 -> 25 [size =\"52073472\"]\n  1 -> 26 [size =\"52073472\"]\n  1 -> 27 [size =\"52073472\"]\n  1 -> 28 [size =\"52073472\"]\n  1 -> 29 [size =\"52073472\"]\n  1 -> 31 [size =\"52073472\"]\n  1 -> 32 [size =\"52073472\"]\n  1 -> 34 [size =\"52073472\"]\n  2 [size=\"21391360\", alpha=\"0.15\", expect_size=\"10695680\"] \n  2 -> 26 [size =\"10695680\"]\n  2 -> 26 [size =\"10695680\"]\n  2 -> 31 [size =\"10695680\"]\n  2 -> 35 [size =\"10695680\"]\n  3 [size=\"41187328\", alpha=\"0.17\", expect_size=\"20593664\"] \n  3 -> 26 [size =\"20593664\"]\n  3 -> 28 [size =\"20593664\"]\n  3 -> 32 [size =\"20593664\"]\n  3 -> 35 [size =\"20593664\"]\n  4 [size=\"18855936\", alpha=\"0.15\", expect_size=\"9427968\"] \n  4 -> 25 [size =\"9427968\"]\n  4 -> 28 [size =\"9427968\"]\n  4 -> 35 [size =\"9427968\"]\n  4 -> 35 [size =\"9427968\"]\n  5 [size=\"83732480\", alpha=\"0.10\", expect_size=\"41866240\"] \n  5 -> 25 [size =\"41866240\"]\n  5 -> 31 [size =\"41866240\"]\n  6 [size=\"78753792\", alpha=\"0.03\", expect_size=\"39376896\"] \n  6 -> 25 [size =\"39376896\"]\n  6 -> 29 [size =\"39376896\"]\n  6 -> 31 [size =\"39376896\"]\n  6 -> 32 [size =\"39376896\"]\n  7 [size=\"33150976\", alpha=\"0.19\", expect_size=\"16575488\"] \n  7 -> 25 [size =\"16575488\"]\n  7 -> 27 [size =\"16575488\"]\n  7 -> 28 [size =\"16575488\"]\n  7 -> 29 [size =\"16575488\"]\n  8 [size=\"14725120\", alpha=\"0.09\", expect_size=\"7362560\"] \n  8 -> 25 [size =\"7362560\"]\n  8 -> 27 [size =\"7362560\"]\n  8 -> 28 [size =\"7362560\"]\n  8 -> 29 [size =\"7362560\"]\n  8 -> 32 [size =\"7362560\"]\n  8 -> 35 [size =\"7362560\"]\n  9 [size=\"103882752\", alpha=\"0.04\", expect_size=\"51941376\"] \n  9 -> 25 [size =\"51941376\"]\n  9 -> 27 [size =\"51941376\"]\n  9 -> 28 [size =\"51941376\"]\n  9 -> 31 [size =\"51941376\"]\n  9 -> 32 [size =\"51941376\"]\n  9 -> 35 [size =\"51941376\"]\n  10 [size=\"61552640\", alpha=\"0.17\", expect_size=\"30776320\"] \n  10 -> 25 [size =\"30776320\"]\n  10 -> 26 [size =\"30776320\"]\n  10 -> 27 [size =\"30776320\"]\n  10 -> 28 [size =\"30776320\"]\n  10 -> 29 [size =\"30776320\"]\n  10 -> 31 [size =\"30776320\"]\n  10 -> 32 [size =\"30776320\"]\n  10 -> 34 [size =\"30776320\"]\n  11 [size=\"97966080\", alpha=\"0.06\", expect_size=\"48983040\"] \n  11 -> 25 [size =\"48983040\"]\n  11 -> 27 [size =\"48983040\"]\n  11 -> 27 [size =\"48983040\"]\n  11 -> 28 [size =\"48983040\"]\n  11 -> 31 [size =\"48983040\"]\n  11 -> 32 [size =\"48983040\"]\n  11 -> 32 [size =\"48983040\"]\n  12 [size=\"77209600\", alpha=\"0.05\", expect_size=\"38604800\"] \n  12 -> 25 [size =\"38604800\"]\n  12 -> 27 [size =\"38604800\"]\n  12 -> 28 [size =\"38604800\"]\n  12 -> 29 [size =\"38604800\"]\n  12 -> 31 [size =\"38604800\"]\n  12 -> 32 [size =\"38604800\"]\n  12 -> 34 [size =\"38604800\"]\n  13 [size=\"51757056\", alpha=\"0.20\", expect_size=\"25878528\"] \n  13 -> 27 [size =\"25878528\"]\n  13 -> 28 [size =\"25878528\"]\n  13 -> 29 [size =\"25878528\"]\n  13 -> 31 [size =\"25878528\"]\n  13 -> 32 [size =\"25878528\"]\n  13 -> 34 [size =\"25878528\"]\n  14 [size=\"37111808\", alpha=\"0.06\", expect_size=\"18555904\"] \n  14 -> 25 [size =\"18555904\"]\n  14 -> 26 [size =\"18555904\"]\n  14 -> 27 [size =\"18555904\"]\n  14 -> 28 [size =\"18555904\"]\n  14 -> 31 [size =\"18555904\"]\n  14 -> 34 [size =\"18555904\"]\n  15 [size=\"13772800\", alpha=\"0.06\", expect_size=\"6886400\"] \n  15 -> 25 [size =\"6886400\"]\n  15 -> 26 [size =\"6886400\"]\n  15 -> 27 [size =\"6886400\"]\n  15 -> 29 [size =\"6886400\"]\n  15 -> 31 [size =\"6886400\"]\n  15 -> 34 [size =\"6886400\"]\n  16 [size=\"58931200\", alpha=\"0.18\", expect_size=\"29465600\"] \n  16 -> 25 [size =\"29465600\"]\n  16 -> 26 [size =\"29465600\"]\n  16 -> 27 [size =\"29465600\"]\n  16 -> 28 [size =\"29465600\"]\n  16 -> 29 [size =\"29465600\"]\n  16 -> 31 [size =\"29465600\"]\n  16 -> 34 [size =\"29465600\"]\n  17 [size=\"71788544\", alpha=\"0.14\", expect_size=\"35894272\"] \n  17 -> 25 [size =\"35894272\"]\n  17 -> 26 [size =\"35894272\"]\n  17 -> 27 [size =\"35894272\"]\n  17 -> 28 [size =\"35894272\"]\n  17 -> 29 [size =\"35894272\"]\n  17 -> 32 [size =\"35894272\"]\n  17 -> 34 [size =\"35894272\"]\n  17 -> 35 [size =\"35894272\"]\n  18 [size=\"67385344\", alpha=\"0.17\", expect_size=\"33692672\"] \n  18 -> 27 [size =\"33692672\"]\n  18 -> 28 [size =\"33692672\"]\n  18 -> 29 [size =\"33692672\"]\n  18 -> 32 [size =\"33692672\"]\n  18 -> 34 [size =\"33692672\"]\n  19 [size=\"14829568\", alpha=\"0.04\", expect_size=\"7414784\"] \n  19 -> 27 [size =\"7414784\"]\n  19 -> 28 [size =\"7414784\"]\n  19 -> 32 [size =\"7414784\"]\n  19 -> 34 [size =\"7414784\"]\n  20 [size=\"34353152\", alpha=\"0.13\", expect_size=\"17176576\"] \n  20 -> 25 [size =\"17176576\"]\n  20 -> 26 [size =\"17176576\"]\n  20 -> 28 [size =\"17176576\"]\n  20 -> 29 [size =\"17176576\"]\n  20 -> 32 [size =\"17176576\"]\n  20 -> 34 [size =\"17176576\"]\n  21 [size=\"20299776\", alpha=\"0.01\", expect_size=\"10149888\"] \n  21 -> 26 [size =\"10149888\"]\n  21 -> 26 [size =\"10149888\"]\n  21 -> 29 [size =\"10149888\"]\n  22 [size=\"50030592\", alpha=\"0.12\", expect_size=\"25015296\"] \n  22 -> 25 [size =\"25015296\"]\n  22 -> 26 [size =\"25015296\"]\n  22 -> 27 [size =\"25015296\"]\n  22 -> 28 [size =\"25015296\"]\n  22 -> 30 [size =\"25015296\"]\n  22 -> 31 [size =\"25015296\"]\n  22 -> 32 [size =\"25015296\"]\n  23 [size=\"72818688\", alpha=\"0.09\", expect_size=\"36409344\"] \n  23 -> 26 [size =\"36409344\"]\n  23 -> 26 [size =\"36409344\"]\n  23 -> 27 [size =\"36409344\"]\n  23 -> 29 [size =\"36409344\"]\n  23 -> 31 [size =\"36409344\"]\n  23 -> 31 [size =\"36409344\"]\n  23 -> 33 [size =\"36409344\"]\n  23 -> 35 [size =\"36409344\"]\n  24 [size=\"71665664\", alpha=\"0.08\", expect_size=\"35832832\"] \n  24 -> 26 [size =\"35832832\"]\n  24 -> 27 [size =\"35832832\"]\n  24 -> 28 [size =\"35832832\"]\n  24 -> 29 [size =\"35832832\"]\n  24 -> 31 [size =\"35832832\"]\n  25 [size=\"99033088\", alpha=\"0.02\", expect_size=\"49516544\"] \n  26 [size=\"31766528\", alpha=\"0.11\", expect_size=\"15883264\"] \n  27 [size=\"22906880\", alpha=\"0.05\", expect_size=\"11453440\"] \n  28 [size=\"90646528\", alpha=\"0.19\", expect_size=\"45323264\"] \n  29 [size=\"75976704\", alpha=\"0.14\", expect_size=\"37988352\"] \n  30 [size=\"95455232\", alpha=\"0.19\", expect_size=\"47727616\"] \n  31 [size=\"60512256\", alpha=\"0.03\", expect_size=\"30256128\"] \n  32 [size=\"64815104\", alpha=\"0.00\", expect_size=\"32407552\"] \n  33 [size=\"24895488\", alpha=\"0.07\", expect_size=\"12447744\"] \n  34 [size=\"65828864\", alpha=\"0.19\", expect_size=\"32914432\"] \n  35 [size=\"101615616\", alpha=\"0.12\", expect_size=\"50807808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111476053\", alpha=\"0.03\", expect_size=\"33442816\"] \n  1 -> 30 [size =\"33442816\"]\n  1 -> 31 [size =\"33442816\"]\n  1 -> 32 [size =\"33442816\"]\n  1 -> 33 [size =\"33442816\"]\n  2 [size=\"105093120\", alpha=\"0.16\", expect_size=\"31527936\"] \n  2 -> 31 [size =\"31527936\"]\n  2 -> 33 [size =\"31527936\"]\n  3 [size=\"86077440\", alpha=\"0.07\", expect_size=\"25823232\"] \n  3 -> 27 [size =\"25823232\"]\n  3 -> 31 [size =\"25823232\"]\n  3 -> 35 [size =\"25823232\"]\n  4 [size=\"160972800\", alpha=\"0.07\", expect_size=\"48291840\"] \n  4 -> 26 [size =\"48291840\"]\n  4 -> 35 [size =\"48291840\"]\n  5 [size=\"136895147\", alpha=\"0.07\", expect_size=\"41068544\"] \n  5 -> 29 [size =\"41068544\"]\n  6 [size=\"135734613\", alpha=\"0.09\", expect_size=\"40720384\"] \n  6 -> 28 [size =\"40720384\"]\n  6 -> 29 [size =\"40720384\"]\n  7 [size=\"78025387\", alpha=\"0.17\", expect_size=\"23407616\"] \n  7 -> 27 [size =\"23407616\"]\n  7 -> 29 [size =\"23407616\"]\n  7 -> 33 [size =\"23407616\"]\n  7 -> 35 [size =\"23407616\"]\n  8 [size=\"141329067\", alpha=\"0.08\", expect_size=\"42398720\"] \n  8 -> 27 [size =\"42398720\"]\n  8 -> 28 [size =\"42398720\"]\n  8 -> 34 [size =\"42398720\"]\n  9 [size=\"81930240\", alpha=\"0.08\", expect_size=\"24579072\"] \n  9 -> 26 [size =\"24579072\"]\n  9 -> 27 [size =\"24579072\"]\n  9 -> 29 [size =\"24579072\"]\n  10 [size=\"44182187\", alpha=\"0.05\", expect_size=\"13254656\"] \n  10 -> 26 [size =\"13254656\"]\n  10 -> 29 [size =\"13254656\"]\n  10 -> 31 [size =\"13254656\"]\n  10 -> 35 [size =\"13254656\"]\n  11 [size=\"77619200\", alpha=\"0.17\", expect_size=\"23285760\"] \n  11 -> 26 [size =\"23285760\"]\n  11 -> 27 [size =\"23285760\"]\n  11 -> 28 [size =\"23285760\"]\n  11 -> 29 [size =\"23285760\"]\n  11 -> 30 [size =\"23285760\"]\n  11 -> 31 [size =\"23285760\"]\n  11 -> 33 [size =\"23285760\"]\n  12 [size=\"101034667\", alpha=\"0.10\", expect_size=\"30310400\"] \n  12 -> 27 [size =\"30310400\"]\n  12 -> 29 [size =\"30310400\"]\n  12 -> 30 [size =\"30310400\"]\n  12 -> 31 [size =\"30310400\"]\n  12 -> 32 [size =\"30310400\"]\n  13 [size=\"72936107\", alpha=\"0.19\", expect_size=\"21880832\"] \n  13 -> 30 [size =\"21880832\"]\n  13 -> 31 [size =\"21880832\"]\n  14 [size=\"130355200\", alpha=\"0.11\", expect_size=\"39106560\"] \n  14 -> 30 [size =\"39106560\"]\n  14 -> 31 [size =\"39106560\"]\n  14 -> 35 [size =\"39106560\"]\n  15 [size=\"29364907\", alpha=\"0.09\", expect_size=\"8809472\"] \n  15 -> 34 [size =\"8809472\"]\n  16 [size=\"83452587\", alpha=\"0.09\", expect_size=\"25035776\"] \n  16 -> 27 [size =\"25035776\"]\n  16 -> 30 [size =\"25035776\"]\n  16 -> 32 [size =\"25035776\"]\n  16 -> 35 [size =\"25035776\"]\n  17 [size=\"156214613\", alpha=\"0.18\", expect_size=\"46864384\"] \n  17 -> 30 [size =\"46864384\"]\n  17 -> 31 [size =\"46864384\"]\n  17 -> 35 [size =\"46864384\"]\n  18 [size=\"134557013\", alpha=\"0.09\", expect_size=\"40367104\"] \n  18 -> 27 [size =\"40367104\"]\n  18 -> 30 [size =\"40367104\"]\n  18 -> 31 [size =\"40367104\"]\n  18 -> 32 [size =\"40367104\"]\n  18 -> 35 [size =\"40367104\"]\n  19 [size=\"41089707\", alpha=\"0.04\", expect_size=\"12326912\"] \n  19 -> 26 [size =\"12326912\"]\n  19 -> 27 [size =\"12326912\"]\n  19 -> 30 [size =\"12326912\"]\n  19 -> 31 [size =\"12326912\"]\n  20 [size=\"103502507\", alpha=\"0.18\", expect_size=\"31050752\"] \n  20 -> 26 [size =\"31050752\"]\n  20 -> 27 [size =\"31050752\"]\n  20 -> 30 [size =\"31050752\"]\n  20 -> 31 [size =\"31050752\"]\n  21 [size=\"144179200\", alpha=\"0.03\", expect_size=\"43253760\"] \n  21 -> 26 [size =\"43253760\"]\n  21 -> 27 [size =\"43253760\"]\n  21 -> 32 [size =\"43253760\"]\n  21 -> 34 [size =\"43253760\"]\n  22 [size=\"122746880\", alpha=\"0.19\", expect_size=\"36824064\"] \n  22 -> 27 [size =\"36824064\"]\n  22 -> 28 [size =\"36824064\"]\n  22 -> 30 [size =\"36824064\"]\n  22 -> 32 [size =\"36824064\"]\n  23 [size=\"46196053\", alpha=\"0.04\", expect_size=\"13858816\"] \n  23 -> 26 [size =\"13858816\"]\n  23 -> 30 [size =\"13858816\"]\n  23 -> 33 [size =\"13858816\"]\n  24 [size=\"35194880\", alpha=\"0.07\", expect_size=\"10558464\"] \n  24 -> 26 [size =\"10558464\"]\n  24 -> 29 [size =\"10558464\"]\n  24 -> 35 [size =\"10558464\"]\n  25 [size=\"119521280\", alpha=\"0.06\", expect_size=\"35856384\"] \n  25 -> 26 [size =\"35856384\"]\n  25 -> 27 [size =\"35856384\"]\n  25 -> 34 [size =\"35856384\"]\n  26 [size=\"33634987\", alpha=\"0.19\", expect_size=\"10090496\"] \n  27 [size=\"106100053\", alpha=\"0.00\", expect_size=\"31830016\"] \n  28 [size=\"87606613\", alpha=\"0.17\", expect_size=\"26281984\"] \n  29 [size=\"161529173\", alpha=\"0.02\", expect_size=\"48458752\"] \n  30 [size=\"39550293\", alpha=\"0.10\", expect_size=\"11865088\"] \n  31 [size=\"20910080\", alpha=\"0.07\", expect_size=\"6273024\"] \n  32 [size=\"42332160\", alpha=\"0.13\", expect_size=\"12699648\"] \n  33 [size=\"34143573\", alpha=\"0.07\", expect_size=\"10243072\"] \n  34 [size=\"64945493\", alpha=\"0.15\", expect_size=\"19483648\"] \n  35 [size=\"120948053\", alpha=\"0.05\", expect_size=\"36284416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74401280\", alpha=\"0.17\", expect_size=\"29760512\"] \n  1 -> 16 [size =\"29760512\"]\n  1 -> 22 [size =\"29760512\"]\n  2 [size=\"62031360\", alpha=\"0.02\", expect_size=\"24812544\"] \n  2 -> 13 [size =\"24812544\"]\n  2 -> 14 [size =\"24812544\"]\n  2 -> 21 [size =\"24812544\"]\n  2 -> 24 [size =\"24812544\"]\n  3 [size=\"117870080\", alpha=\"0.08\", expect_size=\"47148032\"] \n  3 -> 13 [size =\"47148032\"]\n  3 -> 19 [size =\"47148032\"]\n  3 -> 20 [size =\"47148032\"]\n  4 [size=\"127119360\", alpha=\"0.17\", expect_size=\"50847744\"] \n  4 -> 13 [size =\"50847744\"]\n  4 -> 14 [size =\"50847744\"]\n  4 -> 18 [size =\"50847744\"]\n  4 -> 19 [size =\"50847744\"]\n  4 -> 21 [size =\"50847744\"]\n  5 [size=\"38264320\", alpha=\"0.18\", expect_size=\"15305728\"] \n  5 -> 14 [size =\"15305728\"]\n  5 -> 20 [size =\"15305728\"]\n  5 -> 23 [size =\"15305728\"]\n  5 -> 24 [size =\"15305728\"]\n  6 [size=\"47764480\", alpha=\"0.01\", expect_size=\"19105792\"] \n  6 -> 14 [size =\"19105792\"]\n  6 -> 21 [size =\"19105792\"]\n  6 -> 24 [size =\"19105792\"]\n  7 [size=\"104770560\", alpha=\"0.01\", expect_size=\"41908224\"] \n  7 -> 13 [size =\"41908224\"]\n  7 -> 14 [size =\"41908224\"]\n  7 -> 18 [size =\"41908224\"]\n  8 [size=\"57387520\", alpha=\"0.03\", expect_size=\"22955008\"] \n  8 -> 16 [size =\"22955008\"]\n  8 -> 18 [size =\"22955008\"]\n  8 -> 19 [size =\"22955008\"]\n  9 [size=\"83299840\", alpha=\"0.18\", expect_size=\"33319936\"] \n  9 -> 19 [size =\"33319936\"]\n  9 -> 20 [size =\"33319936\"]\n  10 [size=\"33879040\", alpha=\"0.02\", expect_size=\"13551616\"] \n  10 -> 13 [size =\"13551616\"]\n  10 -> 18 [size =\"13551616\"]\n  10 -> 20 [size =\"13551616\"]\n  10 -> 24 [size =\"13551616\"]\n  11 [size=\"122140160\", alpha=\"0.12\", expect_size=\"48856064\"] \n  11 -> 16 [size =\"48856064\"]\n  11 -> 19 [size =\"48856064\"]\n  11 -> 20 [size =\"48856064\"]\n  12 [size=\"107384320\", alpha=\"0.03\", expect_size=\"42953728\"] \n  12 -> 14 [size =\"42953728\"]\n  12 -> 15 [size =\"42953728\"]\n  12 -> 17 [size =\"42953728\"]\n  12 -> 19 [size =\"42953728\"]\n  12 -> 20 [size =\"42953728\"]\n  13 [size=\"117990400\", alpha=\"0.08\", expect_size=\"47196160\"] \n  13 -> 32 [size =\"47196160\"]\n  14 [size=\"48755200\", alpha=\"0.03\", expect_size=\"19502080\"] \n  14 -> 26 [size =\"19502080\"]\n  15 [size=\"30128640\", alpha=\"0.08\", expect_size=\"12051456\"] \n  15 -> 28 [size =\"12051456\"]\n  15 -> 32 [size =\"12051456\"]\n  16 [size=\"18216960\", alpha=\"0.09\", expect_size=\"7286784\"] \n  16 -> 25 [size =\"7286784\"]\n  16 -> 31 [size =\"7286784\"]\n  16 -> 33 [size =\"7286784\"]\n  17 [size=\"22568960\", alpha=\"0.20\", expect_size=\"9027584\"] \n  17 -> 29 [size =\"9027584\"]\n  17 -> 32 [size =\"9027584\"]\n  18 [size=\"28997120\", alpha=\"0.17\", expect_size=\"11598848\"] \n  18 -> 28 [size =\"11598848\"]\n  18 -> 32 [size =\"11598848\"]\n  19 [size=\"47206400\", alpha=\"0.13\", expect_size=\"18882560\"] \n  19 -> 26 [size =\"18882560\"]\n  19 -> 28 [size =\"18882560\"]\n  19 -> 29 [size =\"18882560\"]\n  19 -> 30 [size =\"18882560\"]\n  19 -> 31 [size =\"18882560\"]\n  19 -> 32 [size =\"18882560\"]\n  20 [size=\"35320320\", alpha=\"0.20\", expect_size=\"14128128\"] \n  20 -> 28 [size =\"14128128\"]\n  20 -> 32 [size =\"14128128\"]\n  21 [size=\"47546880\", alpha=\"0.17\", expect_size=\"19018752\"] \n  21 -> 25 [size =\"19018752\"]\n  21 -> 28 [size =\"19018752\"]\n  21 -> 29 [size =\"19018752\"]\n  21 -> 30 [size =\"19018752\"]\n  21 -> 32 [size =\"19018752\"]\n  22 [size=\"118804480\", alpha=\"0.03\", expect_size=\"47521792\"] \n  22 -> 29 [size =\"47521792\"]\n  22 -> 30 [size =\"47521792\"]\n  22 -> 32 [size =\"47521792\"]\n  23 [size=\"18920960\", alpha=\"0.06\", expect_size=\"7568384\"] \n  23 -> 25 [size =\"7568384\"]\n  23 -> 27 [size =\"7568384\"]\n  24 [size=\"65149440\", alpha=\"0.09\", expect_size=\"26059776\"] \n  24 -> 26 [size =\"26059776\"]\n  24 -> 27 [size =\"26059776\"]\n  24 -> 28 [size =\"26059776\"]\n  24 -> 30 [size =\"26059776\"]\n  24 -> 33 [size =\"26059776\"]\n  25 [size=\"81356800\", alpha=\"0.16\", expect_size=\"32542720\"] \n  26 [size=\"13125120\", alpha=\"0.09\", expect_size=\"5250048\"] \n  27 [size=\"66905600\", alpha=\"0.17\", expect_size=\"26762240\"] \n  28 [size=\"65884160\", alpha=\"0.13\", expect_size=\"26353664\"] \n  28 -> 34 [size =\"26353664\"]\n  29 [size=\"45570560\", alpha=\"0.01\", expect_size=\"18228224\"] \n  30 [size=\"120378880\", alpha=\"0.12\", expect_size=\"48151552\"] \n  30 -> 35 [size =\"48151552\"]\n  31 [size=\"118184960\", alpha=\"0.02\", expect_size=\"47273984\"] \n  31 -> 35 [size =\"47273984\"]\n  32 [size=\"100285440\", alpha=\"0.08\", expect_size=\"40114176\"] \n  32 -> 35 [size =\"40114176\"]\n  33 [size=\"115601920\", alpha=\"0.11\", expect_size=\"46240768\"] \n  33 -> 34 [size =\"46240768\"]\n  33 -> 35 [size =\"46240768\"]\n  34 [size=\"32972800\", alpha=\"0.01\", expect_size=\"13189120\"] \n  35 [size=\"84375040\", alpha=\"0.13\", expect_size=\"33750016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58557440\", alpha=\"0.02\", expect_size=\"23422976\"] \n  1 -> 13 [size =\"23422976\"]\n  1 -> 14 [size =\"23422976\"]\n  1 -> 17 [size =\"23422976\"]\n  1 -> 19 [size =\"23422976\"]\n  1 -> 20 [size =\"23422976\"]\n  1 -> 21 [size =\"23422976\"]\n  1 -> 22 [size =\"23422976\"]\n  2 [size=\"72312320\", alpha=\"0.15\", expect_size=\"28924928\"] \n  2 -> 12 [size =\"28924928\"]\n  2 -> 13 [size =\"28924928\"]\n  2 -> 14 [size =\"28924928\"]\n  2 -> 16 [size =\"28924928\"]\n  2 -> 17 [size =\"28924928\"]\n  2 -> 19 [size =\"28924928\"]\n  2 -> 23 [size =\"28924928\"]\n  3 [size=\"119690240\", alpha=\"0.04\", expect_size=\"47876096\"] \n  3 -> 13 [size =\"47876096\"]\n  3 -> 14 [size =\"47876096\"]\n  3 -> 14 [size =\"47876096\"]\n  3 -> 19 [size =\"47876096\"]\n  3 -> 21 [size =\"47876096\"]\n  4 [size=\"79848960\", alpha=\"0.05\", expect_size=\"31939584\"] \n  4 -> 18 [size =\"31939584\"]\n  4 -> 19 [size =\"31939584\"]\n  4 -> 21 [size =\"31939584\"]\n  5 [size=\"80501760\", alpha=\"0.16\", expect_size=\"32200704\"] \n  5 -> 13 [size =\"32200704\"]\n  5 -> 14 [size =\"32200704\"]\n  5 -> 16 [size =\"32200704\"]\n  5 -> 17 [size =\"32200704\"]\n  5 -> 19 [size =\"32200704\"]\n  5 -> 20 [size =\"32200704\"]\n  6 [size=\"85212160\", alpha=\"0.13\", expect_size=\"34084864\"] \n  6 -> 14 [size =\"34084864\"]\n  6 -> 14 [size =\"34084864\"]\n  6 -> 16 [size =\"34084864\"]\n  6 -> 17 [size =\"34084864\"]\n  6 -> 18 [size =\"34084864\"]\n  6 -> 19 [size =\"34084864\"]\n  6 -> 20 [size =\"34084864\"]\n  7 [size=\"92748800\", alpha=\"0.10\", expect_size=\"37099520\"] \n  7 -> 13 [size =\"37099520\"]\n  7 -> 14 [size =\"37099520\"]\n  7 -> 18 [size =\"37099520\"]\n  7 -> 20 [size =\"37099520\"]\n  7 -> 22 [size =\"37099520\"]\n  8 [size=\"110412800\", alpha=\"0.01\", expect_size=\"44165120\"] \n  8 -> 12 [size =\"44165120\"]\n  8 -> 13 [size =\"44165120\"]\n  8 -> 14 [size =\"44165120\"]\n  8 -> 15 [size =\"44165120\"]\n  8 -> 17 [size =\"44165120\"]\n  8 -> 19 [size =\"44165120\"]\n  8 -> 20 [size =\"44165120\"]\n  8 -> 22 [size =\"44165120\"]\n  9 [size=\"103831040\", alpha=\"0.02\", expect_size=\"41532416\"] \n  9 -> 13 [size =\"41532416\"]\n  9 -> 19 [size =\"41532416\"]\n  9 -> 20 [size =\"41532416\"]\n  9 -> 22 [size =\"41532416\"]\n  10 [size=\"20725760\", alpha=\"0.09\", expect_size=\"8290304\"] \n  10 -> 12 [size =\"8290304\"]\n  10 -> 15 [size =\"8290304\"]\n  10 -> 19 [size =\"8290304\"]\n  10 -> 20 [size =\"8290304\"]\n  10 -> 21 [size =\"8290304\"]\n  10 -> 22 [size =\"8290304\"]\n  11 [size=\"125201920\", alpha=\"0.07\", expect_size=\"50080768\"] \n  11 -> 13 [size =\"50080768\"]\n  11 -> 17 [size =\"50080768\"]\n  11 -> 19 [size =\"50080768\"]\n  11 -> 20 [size =\"50080768\"]\n  11 -> 22 [size =\"50080768\"]\n  12 [size=\"18283520\", alpha=\"0.00\", expect_size=\"7313408\"] \n  12 -> 24 [size =\"7313408\"]\n  12 -> 27 [size =\"7313408\"]\n  12 -> 28 [size =\"7313408\"]\n  12 -> 29 [size =\"7313408\"]\n  12 -> 33 [size =\"7313408\"]\n  12 -> 34 [size =\"7313408\"]\n  13 [size=\"107389440\", alpha=\"0.12\", expect_size=\"42955776\"] \n  13 -> 24 [size =\"42955776\"]\n  13 -> 27 [size =\"42955776\"]\n  13 -> 28 [size =\"42955776\"]\n  13 -> 31 [size =\"42955776\"]\n  13 -> 33 [size =\"42955776\"]\n  13 -> 34 [size =\"42955776\"]\n  14 [size=\"14325760\", alpha=\"0.06\", expect_size=\"5730304\"] \n  14 -> 24 [size =\"5730304\"]\n  14 -> 26 [size =\"5730304\"]\n  14 -> 27 [size =\"5730304\"]\n  14 -> 28 [size =\"5730304\"]\n  14 -> 30 [size =\"5730304\"]\n  14 -> 34 [size =\"5730304\"]\n  15 [size=\"44518400\", alpha=\"0.12\", expect_size=\"17807360\"] \n  15 -> 27 [size =\"17807360\"]\n  15 -> 28 [size =\"17807360\"]\n  15 -> 29 [size =\"17807360\"]\n  15 -> 30 [size =\"17807360\"]\n  15 -> 32 [size =\"17807360\"]\n  15 -> 34 [size =\"17807360\"]\n  16 [size=\"18465280\", alpha=\"0.16\", expect_size=\"7386112\"] \n  16 -> 26 [size =\"7386112\"]\n  16 -> 27 [size =\"7386112\"]\n  16 -> 28 [size =\"7386112\"]\n  16 -> 34 [size =\"7386112\"]\n  17 [size=\"93724160\", alpha=\"0.11\", expect_size=\"37489664\"] \n  17 -> 27 [size =\"37489664\"]\n  17 -> 28 [size =\"37489664\"]\n  17 -> 29 [size =\"37489664\"]\n  17 -> 33 [size =\"37489664\"]\n  17 -> 34 [size =\"37489664\"]\n  18 [size=\"35340800\", alpha=\"0.16\", expect_size=\"14136320\"] \n  18 -> 24 [size =\"14136320\"]\n  18 -> 25 [size =\"14136320\"]\n  18 -> 33 [size =\"14136320\"]\n  19 [size=\"39503360\", alpha=\"0.05\", expect_size=\"15801344\"] \n  19 -> 24 [size =\"15801344\"]\n  19 -> 25 [size =\"15801344\"]\n  19 -> 27 [size =\"15801344\"]\n  19 -> 28 [size =\"15801344\"]\n  19 -> 29 [size =\"15801344\"]\n  19 -> 33 [size =\"15801344\"]\n  20 [size=\"53593600\", alpha=\"0.10\", expect_size=\"21437440\"] \n  20 -> 24 [size =\"21437440\"]\n  20 -> 26 [size =\"21437440\"]\n  20 -> 30 [size =\"21437440\"]\n  20 -> 34 [size =\"21437440\"]\n  21 [size=\"103969280\", alpha=\"0.04\", expect_size=\"41587712\"] \n  21 -> 24 [size =\"41587712\"]\n  21 -> 27 [size =\"41587712\"]\n  22 [size=\"29255680\", alpha=\"0.07\", expect_size=\"11702272\"] \n  22 -> 24 [size =\"11702272\"]\n  22 -> 32 [size =\"11702272\"]\n  22 -> 33 [size =\"11702272\"]\n  22 -> 34 [size =\"11702272\"]\n  23 [size=\"32079360\", alpha=\"0.09\", expect_size=\"12831744\"] \n  23 -> 24 [size =\"12831744\"]\n  23 -> 25 [size =\"12831744\"]\n  23 -> 26 [size =\"12831744\"]\n  23 -> 29 [size =\"12831744\"]\n  23 -> 32 [size =\"12831744\"]\n  23 -> 34 [size =\"12831744\"]\n  24 [size=\"100851200\", alpha=\"0.02\", expect_size=\"40340480\"] \n  25 [size=\"19187200\", alpha=\"0.06\", expect_size=\"7674880\"] \n  26 [size=\"91822080\", alpha=\"0.03\", expect_size=\"36728832\"] \n  27 [size=\"66959360\", alpha=\"0.13\", expect_size=\"26783744\"] \n  28 [size=\"15086080\", alpha=\"0.20\", expect_size=\"6034432\"] \n  28 -> 35 [size =\"6034432\"]\n  29 [size=\"110440960\", alpha=\"0.02\", expect_size=\"44176384\"] \n  29 -> 35 [size =\"44176384\"]\n  30 [size=\"19944960\", alpha=\"0.05\", expect_size=\"7977984\"] \n  31 [size=\"81579520\", alpha=\"0.07\", expect_size=\"32631808\"] \n  31 -> 35 [size =\"32631808\"]\n  32 [size=\"104862720\", alpha=\"0.10\", expect_size=\"41945088\"] \n  32 -> 35 [size =\"41945088\"]\n  33 [size=\"31042560\", alpha=\"0.09\", expect_size=\"12417024\"] \n  33 -> 35 [size =\"12417024\"]\n  34 [size=\"84664320\", alpha=\"0.09\", expect_size=\"33865728\"] \n  35 [size=\"96540160\", alpha=\"0.13\", expect_size=\"38616064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36560896\", alpha=\"0.09\", expect_size=\"18280448\"] \n  1 -> 7 [size =\"18280448\"]\n  1 -> 8 [size =\"18280448\"]\n  2 [size=\"47517696\", alpha=\"0.04\", expect_size=\"23758848\"] \n  2 -> 9 [size =\"23758848\"]\n  3 [size=\"78370816\", alpha=\"0.09\", expect_size=\"39185408\"] \n  3 -> 6 [size =\"39185408\"]\n  3 -> 7 [size =\"39185408\"]\n  3 -> 9 [size =\"39185408\"]\n  4 [size=\"43517952\", alpha=\"0.19\", expect_size=\"21758976\"] \n  4 -> 7 [size =\"21758976\"]\n  5 [size=\"89202688\", alpha=\"0.12\", expect_size=\"44601344\"] \n  6 [size=\"60688384\", alpha=\"0.16\", expect_size=\"30344192\"] \n  6 -> 10 [size =\"30344192\"]\n  7 [size=\"75552768\", alpha=\"0.19\", expect_size=\"37776384\"] \n  7 -> 12 [size =\"37776384\"]\n  8 [size=\"17821696\", alpha=\"0.10\", expect_size=\"8910848\"] \n  9 [size=\"36263936\", alpha=\"0.00\", expect_size=\"18131968\"] \n  9 -> 10 [size =\"18131968\"]\n  9 -> 11 [size =\"18131968\"]\n  9 -> 13 [size =\"18131968\"]\n  10 [size=\"60624896\", alpha=\"0.17\", expect_size=\"30312448\"] \n  10 -> 15 [size =\"30312448\"]\n  10 -> 16 [size =\"30312448\"]\n  11 [size=\"69820416\", alpha=\"0.05\", expect_size=\"34910208\"] \n  11 -> 14 [size =\"34910208\"]\n  11 -> 16 [size =\"34910208\"]\n  11 -> 18 [size =\"34910208\"]\n  12 [size=\"15910912\", alpha=\"0.06\", expect_size=\"7955456\"] \n  12 -> 14 [size =\"7955456\"]\n  12 -> 15 [size =\"7955456\"]\n  12 -> 16 [size =\"7955456\"]\n  13 [size=\"32577536\", alpha=\"0.19\", expect_size=\"16288768\"] \n  13 -> 14 [size =\"16288768\"]\n  13 -> 15 [size =\"16288768\"]\n  13 -> 17 [size =\"16288768\"]\n  14 [size=\"74377216\", alpha=\"0.03\", expect_size=\"37188608\"] \n  14 -> 19 [size =\"37188608\"]\n  15 [size=\"69156864\", alpha=\"0.08\", expect_size=\"34578432\"] \n  15 -> 19 [size =\"34578432\"]\n  15 -> 21 [size =\"34578432\"]\n  16 [size=\"30668800\", alpha=\"0.08\", expect_size=\"15334400\"] \n  17 [size=\"11499520\", alpha=\"0.07\", expect_size=\"5749760\"] \n  17 -> 20 [size =\"5749760\"]\n  18 [size=\"103034880\", alpha=\"0.04\", expect_size=\"51517440\"] \n  18 -> 21 [size =\"51517440\"]\n  18 -> 22 [size =\"51517440\"]\n  19 [size=\"54439936\", alpha=\"0.10\", expect_size=\"27219968\"] \n  19 -> 23 [size =\"27219968\"]\n  19 -> 28 [size =\"27219968\"]\n  20 [size=\"55808000\", alpha=\"0.14\", expect_size=\"27904000\"] \n  20 -> 24 [size =\"27904000\"]\n  20 -> 28 [size =\"27904000\"]\n  21 [size=\"40200192\", alpha=\"0.03\", expect_size=\"20100096\"] \n  21 -> 23 [size =\"20100096\"]\n  21 -> 25 [size =\"20100096\"]\n  21 -> 27 [size =\"20100096\"]\n  21 -> 28 [size =\"20100096\"]\n  22 [size=\"65189888\", alpha=\"0.20\", expect_size=\"32594944\"] \n  22 -> 23 [size =\"32594944\"]\n  22 -> 26 [size =\"32594944\"]\n  22 -> 27 [size =\"32594944\"]\n  23 [size=\"92116992\", alpha=\"0.11\", expect_size=\"46058496\"] \n  23 -> 29 [size =\"46058496\"]\n  23 -> 31 [size =\"46058496\"]\n  23 -> 31 [size =\"46058496\"]\n  24 [size=\"89196544\", alpha=\"0.10\", expect_size=\"44598272\"] \n  24 -> 29 [size =\"44598272\"]\n  24 -> 33 [size =\"44598272\"]\n  25 [size=\"102907904\", alpha=\"0.05\", expect_size=\"51453952\"] \n  25 -> 30 [size =\"51453952\"]\n  25 -> 31 [size =\"51453952\"]\n  26 [size=\"46761984\", alpha=\"0.11\", expect_size=\"23380992\"] \n  26 -> 30 [size =\"23380992\"]\n  26 -> 33 [size =\"23380992\"]\n  27 [size=\"83171328\", alpha=\"0.10\", expect_size=\"41585664\"] \n  27 -> 29 [size =\"41585664\"]\n  27 -> 33 [size =\"41585664\"]\n  28 [size=\"20170752\", alpha=\"0.11\", expect_size=\"10085376\"] \n  28 -> 29 [size =\"10085376\"]\n  28 -> 30 [size =\"10085376\"]\n  28 -> 31 [size =\"10085376\"]\n  28 -> 32 [size =\"10085376\"]\n  28 -> 33 [size =\"10085376\"]\n  29 [size=\"39890944\", alpha=\"0.18\", expect_size=\"19945472\"] \n  29 -> 34 [size =\"19945472\"]\n  29 -> 35 [size =\"19945472\"]\n  30 [size=\"87445504\", alpha=\"0.15\", expect_size=\"43722752\"] \n  30 -> 35 [size =\"43722752\"]\n  31 [size=\"57888768\", alpha=\"0.05\", expect_size=\"28944384\"] \n  32 [size=\"71671808\", alpha=\"0.16\", expect_size=\"35835904\"] \n  32 -> 35 [size =\"35835904\"]\n  33 [size=\"71452672\", alpha=\"0.11\", expect_size=\"35726336\"] \n  34 [size=\"30748672\", alpha=\"0.00\", expect_size=\"15374336\"] \n  35 [size=\"76965888\", alpha=\"0.02\", expect_size=\"38482944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15856640\", alpha=\"0.13\", expect_size=\"6342656\"] \n  1 -> 32 [size =\"6342656\"]\n  1 -> 33 [size =\"6342656\"]\n  2 [size=\"110888960\", alpha=\"0.14\", expect_size=\"44355584\"] \n  2 -> 33 [size =\"44355584\"]\n  2 -> 35 [size =\"44355584\"]\n  3 [size=\"58677760\", alpha=\"0.09\", expect_size=\"23471104\"] \n  3 -> 30 [size =\"23471104\"]\n  3 -> 33 [size =\"23471104\"]\n  4 [size=\"38456320\", alpha=\"0.06\", expect_size=\"15382528\"] \n  4 -> 30 [size =\"15382528\"]\n  4 -> 31 [size =\"15382528\"]\n  4 -> 32 [size =\"15382528\"]\n  5 [size=\"36805120\", alpha=\"0.06\", expect_size=\"14722048\"] \n  5 -> 30 [size =\"14722048\"]\n  5 -> 31 [size =\"14722048\"]\n  5 -> 32 [size =\"14722048\"]\n  5 -> 33 [size =\"14722048\"]\n  5 -> 34 [size =\"14722048\"]\n  6 [size=\"57528320\", alpha=\"0.05\", expect_size=\"23011328\"] \n  6 -> 31 [size =\"23011328\"]\n  6 -> 32 [size =\"23011328\"]\n  6 -> 33 [size =\"23011328\"]\n  6 -> 34 [size =\"23011328\"]\n  6 -> 34 [size =\"23011328\"]\n  6 -> 35 [size =\"23011328\"]\n  7 [size=\"128299520\", alpha=\"0.10\", expect_size=\"51319808\"] \n  7 -> 31 [size =\"51319808\"]\n  7 -> 34 [size =\"51319808\"]\n  8 [size=\"104130560\", alpha=\"0.05\", expect_size=\"41652224\"] \n  8 -> 30 [size =\"41652224\"]\n  8 -> 34 [size =\"41652224\"]\n  9 [size=\"25643520\", alpha=\"0.03\", expect_size=\"10257408\"] \n  9 -> 30 [size =\"10257408\"]\n  10 [size=\"37017600\", alpha=\"0.18\", expect_size=\"14807040\"] \n  10 -> 30 [size =\"14807040\"]\n  10 -> 33 [size =\"14807040\"]\n  11 [size=\"98577920\", alpha=\"0.11\", expect_size=\"39431168\"] \n  11 -> 30 [size =\"39431168\"]\n  11 -> 33 [size =\"39431168\"]\n  11 -> 34 [size =\"39431168\"]\n  12 [size=\"54558720\", alpha=\"0.02\", expect_size=\"21823488\"] \n  12 -> 31 [size =\"21823488\"]\n  12 -> 34 [size =\"21823488\"]\n  12 -> 34 [size =\"21823488\"]\n  13 [size=\"17825280\", alpha=\"0.04\", expect_size=\"7130112\"] \n  13 -> 34 [size =\"7130112\"]\n  14 [size=\"70845440\", alpha=\"0.01\", expect_size=\"28338176\"] \n  14 -> 30 [size =\"28338176\"]\n  14 -> 34 [size =\"28338176\"]\n  15 [size=\"104199680\", alpha=\"0.13\", expect_size=\"41679872\"] \n  15 -> 31 [size =\"41679872\"]\n  15 -> 34 [size =\"41679872\"]\n  16 [size=\"22784000\", alpha=\"0.15\", expect_size=\"9113600\"] \n  16 -> 30 [size =\"9113600\"]\n  16 -> 33 [size =\"9113600\"]\n  16 -> 34 [size =\"9113600\"]\n  17 [size=\"55032320\", alpha=\"0.12\", expect_size=\"22012928\"] \n  17 -> 30 [size =\"22012928\"]\n  17 -> 31 [size =\"22012928\"]\n  17 -> 33 [size =\"22012928\"]\n  17 -> 34 [size =\"22012928\"]\n  18 [size=\"114542080\", alpha=\"0.01\", expect_size=\"45816832\"] \n  18 -> 31 [size =\"45816832\"]\n  19 [size=\"27732480\", alpha=\"0.08\", expect_size=\"11092992\"] \n  19 -> 30 [size =\"11092992\"]\n  19 -> 32 [size =\"11092992\"]\n  19 -> 33 [size =\"11092992\"]\n  20 [size=\"47306240\", alpha=\"0.00\", expect_size=\"18922496\"] \n  20 -> 32 [size =\"18922496\"]\n  20 -> 33 [size =\"18922496\"]\n  21 [size=\"35568640\", alpha=\"0.13\", expect_size=\"14227456\"] \n  21 -> 30 [size =\"14227456\"]\n  21 -> 33 [size =\"14227456\"]\n  22 [size=\"103188480\", alpha=\"0.02\", expect_size=\"41275392\"] \n  22 -> 31 [size =\"41275392\"]\n  22 -> 33 [size =\"41275392\"]\n  23 [size=\"117209600\", alpha=\"0.19\", expect_size=\"46883840\"] \n  23 -> 31 [size =\"46883840\"]\n  23 -> 34 [size =\"46883840\"]\n  24 [size=\"25479680\", alpha=\"0.01\", expect_size=\"10191872\"] \n  24 -> 31 [size =\"10191872\"]\n  24 -> 34 [size =\"10191872\"]\n  24 -> 35 [size =\"10191872\"]\n  25 [size=\"31370240\", alpha=\"0.06\", expect_size=\"12548096\"] \n  25 -> 31 [size =\"12548096\"]\n  25 -> 34 [size =\"12548096\"]\n  25 -> 35 [size =\"12548096\"]\n  26 [size=\"108963840\", alpha=\"0.19\", expect_size=\"43585536\"] \n  26 -> 31 [size =\"43585536\"]\n  26 -> 33 [size =\"43585536\"]\n  26 -> 34 [size =\"43585536\"]\n  27 [size=\"76610560\", alpha=\"0.11\", expect_size=\"30644224\"] \n  27 -> 30 [size =\"30644224\"]\n  27 -> 32 [size =\"30644224\"]\n  27 -> 33 [size =\"30644224\"]\n  27 -> 34 [size =\"30644224\"]\n  27 -> 35 [size =\"30644224\"]\n  28 [size=\"29376000\", alpha=\"0.19\", expect_size=\"11750400\"] \n  28 -> 30 [size =\"11750400\"]\n  28 -> 32 [size =\"11750400\"]\n  29 [size=\"34734080\", alpha=\"0.09\", expect_size=\"13893632\"] \n  29 -> 30 [size =\"13893632\"]\n  29 -> 32 [size =\"13893632\"]\n  29 -> 33 [size =\"13893632\"]\n  30 [size=\"80629760\", alpha=\"0.03\", expect_size=\"32251904\"] \n  31 [size=\"81039360\", alpha=\"0.12\", expect_size=\"32415744\"] \n  32 [size=\"38714880\", alpha=\"0.07\", expect_size=\"15485952\"] \n  33 [size=\"51440640\", alpha=\"0.04\", expect_size=\"20576256\"] \n  34 [size=\"46822400\", alpha=\"0.10\", expect_size=\"18728960\"] \n  35 [size=\"50211840\", alpha=\"0.11\", expect_size=\"20084736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64945493\", alpha=\"0.08\", expect_size=\"19483648\"] \n  1 -> 7 [size =\"19483648\"]\n  1 -> 9 [size =\"19483648\"]\n  1 -> 10 [size =\"19483648\"]\n  2 [size=\"166239573\", alpha=\"0.13\", expect_size=\"49871872\"] \n  2 -> 6 [size =\"49871872\"]\n  2 -> 7 [size =\"49871872\"]\n  2 -> 9 [size =\"49871872\"]\n  3 [size=\"139506347\", alpha=\"0.01\", expect_size=\"41851904\"] \n  3 -> 6 [size =\"41851904\"]\n  3 -> 7 [size =\"41851904\"]\n  3 -> 9 [size =\"41851904\"]\n  4 [size=\"162003627\", alpha=\"0.01\", expect_size=\"48601088\"] \n  4 -> 6 [size =\"48601088\"]\n  4 -> 7 [size =\"48601088\"]\n  4 -> 9 [size =\"48601088\"]\n  4 -> 10 [size =\"48601088\"]\n  5 [size=\"56016213\", alpha=\"0.01\", expect_size=\"16804864\"] \n  5 -> 6 [size =\"16804864\"]\n  5 -> 7 [size =\"16804864\"]\n  5 -> 8 [size =\"16804864\"]\n  5 -> 9 [size =\"16804864\"]\n  6 [size=\"27026773\", alpha=\"0.17\", expect_size=\"8108032\"] \n  6 -> 11 [size =\"8108032\"]\n  6 -> 12 [size =\"8108032\"]\n  6 -> 13 [size =\"8108032\"]\n  6 -> 14 [size =\"8108032\"]\n  7 [size=\"43025067\", alpha=\"0.20\", expect_size=\"12907520\"] \n  7 -> 11 [size =\"12907520\"]\n  7 -> 12 [size =\"12907520\"]\n  7 -> 13 [size =\"12907520\"]\n  7 -> 14 [size =\"12907520\"]\n  8 [size=\"100044800\", alpha=\"0.10\", expect_size=\"30013440\"] \n  8 -> 11 [size =\"30013440\"]\n  8 -> 12 [size =\"30013440\"]\n  8 -> 13 [size =\"30013440\"]\n  8 -> 14 [size =\"30013440\"]\n  9 [size=\"84452693\", alpha=\"0.16\", expect_size=\"25335808\"] \n  9 -> 12 [size =\"25335808\"]\n  9 -> 13 [size =\"25335808\"]\n  10 [size=\"54807893\", alpha=\"0.18\", expect_size=\"16442368\"] \n  10 -> 11 [size =\"16442368\"]\n  10 -> 12 [size =\"16442368\"]\n  10 -> 13 [size =\"16442368\"]\n  10 -> 14 [size =\"16442368\"]\n  11 [size=\"45779627\", alpha=\"0.13\", expect_size=\"13733888\"] \n  11 -> 16 [size =\"13733888\"]\n  11 -> 17 [size =\"13733888\"]\n  11 -> 17 [size =\"13733888\"]\n  11 -> 18 [size =\"13733888\"]\n  12 [size=\"111363413\", alpha=\"0.10\", expect_size=\"33409024\"] \n  12 -> 18 [size =\"33409024\"]\n  13 [size=\"53418667\", alpha=\"0.04\", expect_size=\"16025600\"] \n  13 -> 15 [size =\"16025600\"]\n  13 -> 16 [size =\"16025600\"]\n  13 -> 17 [size =\"16025600\"]\n  13 -> 18 [size =\"16025600\"]\n  14 [size=\"63713280\", alpha=\"0.01\", expect_size=\"19113984\"] \n  14 -> 16 [size =\"19113984\"]\n  14 -> 16 [size =\"19113984\"]\n  14 -> 17 [size =\"19113984\"]\n  14 -> 18 [size =\"19113984\"]\n  15 [size=\"71884800\", alpha=\"0.19\", expect_size=\"21565440\"] \n  15 -> 20 [size =\"21565440\"]\n  15 -> 22 [size =\"21565440\"]\n  16 [size=\"75905707\", alpha=\"0.01\", expect_size=\"22771712\"] \n  16 -> 20 [size =\"22771712\"]\n  16 -> 21 [size =\"22771712\"]\n  16 -> 22 [size =\"22771712\"]\n  17 [size=\"48896000\", alpha=\"0.07\", expect_size=\"14668800\"] \n  17 -> 19 [size =\"14668800\"]\n  17 -> 20 [size =\"14668800\"]\n  17 -> 21 [size =\"14668800\"]\n  17 -> 22 [size =\"14668800\"]\n  17 -> 23 [size =\"14668800\"]\n  18 [size=\"48817493\", alpha=\"0.17\", expect_size=\"14645248\"] \n  18 -> 19 [size =\"14645248\"]\n  18 -> 21 [size =\"14645248\"]\n  18 -> 21 [size =\"14645248\"]\n  18 -> 22 [size =\"14645248\"]\n  19 [size=\"129017173\", alpha=\"0.09\", expect_size=\"38705152\"] \n  19 -> 24 [size =\"38705152\"]\n  19 -> 27 [size =\"38705152\"]\n  20 [size=\"99003733\", alpha=\"0.11\", expect_size=\"29701120\"] \n  20 -> 24 [size =\"29701120\"]\n  20 -> 25 [size =\"29701120\"]\n  20 -> 27 [size =\"29701120\"]\n  21 [size=\"80066560\", alpha=\"0.20\", expect_size=\"24019968\"] \n  21 -> 24 [size =\"24019968\"]\n  21 -> 26 [size =\"24019968\"]\n  21 -> 27 [size =\"24019968\"]\n  22 [size=\"25879893\", alpha=\"0.07\", expect_size=\"7763968\"] \n  22 -> 24 [size =\"7763968\"]\n  22 -> 26 [size =\"7763968\"]\n  22 -> 27 [size =\"7763968\"]\n  23 [size=\"107001173\", alpha=\"0.11\", expect_size=\"32100352\"] \n  23 -> 24 [size =\"32100352\"]\n  23 -> 27 [size =\"32100352\"]\n  23 -> 28 [size =\"32100352\"]\n  24 [size=\"140683947\", alpha=\"0.12\", expect_size=\"42205184\"] \n  24 -> 30 [size =\"42205184\"]\n  25 [size=\"151415467\", alpha=\"0.18\", expect_size=\"45424640\"] \n  25 -> 30 [size =\"45424640\"]\n  25 -> 31 [size =\"45424640\"]\n  26 [size=\"141356373\", alpha=\"0.06\", expect_size=\"42406912\"] \n  26 -> 29 [size =\"42406912\"]\n  26 -> 30 [size =\"42406912\"]\n  26 -> 31 [size =\"42406912\"]\n  26 -> 32 [size =\"42406912\"]\n  27 [size=\"151784107\", alpha=\"0.17\", expect_size=\"45535232\"] \n  27 -> 30 [size =\"45535232\"]\n  27 -> 31 [size =\"45535232\"]\n  27 -> 31 [size =\"45535232\"]\n  28 [size=\"52224000\", alpha=\"0.18\", expect_size=\"15667200\"] \n  28 -> 29 [size =\"15667200\"]\n  28 -> 31 [size =\"15667200\"]\n  28 -> 32 [size =\"15667200\"]\n  29 [size=\"31433387\", alpha=\"0.08\", expect_size=\"9430016\"] \n  29 -> 34 [size =\"9430016\"]\n  29 -> 35 [size =\"9430016\"]\n  30 [size=\"99157333\", alpha=\"0.03\", expect_size=\"29747200\"] \n  30 -> 33 [size =\"29747200\"]\n  30 -> 35 [size =\"29747200\"]\n  31 [size=\"30184107\", alpha=\"0.01\", expect_size=\"9055232\"] \n  31 -> 33 [size =\"9055232\"]\n  31 -> 34 [size =\"9055232\"]\n  31 -> 35 [size =\"9055232\"]\n  32 [size=\"29269333\", alpha=\"0.11\", expect_size=\"8780800\"] \n  32 -> 34 [size =\"8780800\"]\n  32 -> 35 [size =\"8780800\"]\n  33 [size=\"87886507\", alpha=\"0.06\", expect_size=\"26365952\"] \n  34 [size=\"170789547\", alpha=\"0.06\", expect_size=\"51236864\"] \n  35 [size=\"107929600\", alpha=\"0.14\", expect_size=\"32378880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91481600\", alpha=\"0.07\", expect_size=\"36592640\"] \n  1 -> 2 [size =\"36592640\"]\n  2 [size=\"65131520\", alpha=\"0.13\", expect_size=\"26052608\"] \n  2 -> 3 [size =\"26052608\"]\n  3 [size=\"61086720\", alpha=\"0.05\", expect_size=\"24434688\"] \n  3 -> 4 [size =\"24434688\"]\n  4 [size=\"47257600\", alpha=\"0.15\", expect_size=\"18903040\"] \n  4 -> 5 [size =\"18903040\"]\n  5 [size=\"126108160\", alpha=\"0.14\", expect_size=\"50443264\"] \n  5 -> 6 [size =\"50443264\"]\n  6 [size=\"77875200\", alpha=\"0.04\", expect_size=\"31150080\"] \n  6 -> 7 [size =\"31150080\"]\n  7 [size=\"125347840\", alpha=\"0.02\", expect_size=\"50139136\"] \n  7 -> 8 [size =\"50139136\"]\n  8 [size=\"32499200\", alpha=\"0.06\", expect_size=\"12999680\"] \n  8 -> 9 [size =\"12999680\"]\n  9 [size=\"72432640\", alpha=\"0.13\", expect_size=\"28973056\"] \n  9 -> 10 [size =\"28973056\"]\n  10 [size=\"106227200\", alpha=\"0.12\", expect_size=\"42490880\"] \n  10 -> 11 [size =\"42490880\"]\n  11 [size=\"117478400\", alpha=\"0.16\", expect_size=\"46991360\"] \n  11 -> 12 [size =\"46991360\"]\n  12 [size=\"41766400\", alpha=\"0.00\", expect_size=\"16706560\"] \n  12 -> 13 [size =\"16706560\"]\n  13 [size=\"115512320\", alpha=\"0.06\", expect_size=\"46204928\"] \n  13 -> 14 [size =\"46204928\"]\n  14 [size=\"26844160\", alpha=\"0.04\", expect_size=\"10737664\"] \n  14 -> 15 [size =\"10737664\"]\n  15 [size=\"117352960\", alpha=\"0.01\", expect_size=\"46941184\"] \n  15 -> 16 [size =\"46941184\"]\n  16 [size=\"83392000\", alpha=\"0.10\", expect_size=\"33356800\"] \n  16 -> 17 [size =\"33356800\"]\n  17 [size=\"105021440\", alpha=\"0.19\", expect_size=\"42008576\"] \n  17 -> 18 [size =\"42008576\"]\n  18 [size=\"113945600\", alpha=\"0.19\", expect_size=\"45578240\"] \n  18 -> 19 [size =\"45578240\"]\n  19 [size=\"30855680\", alpha=\"0.05\", expect_size=\"12342272\"] \n  19 -> 20 [size =\"12342272\"]\n  20 [size=\"104624640\", alpha=\"0.05\", expect_size=\"41849856\"] \n  20 -> 21 [size =\"41849856\"]\n  21 [size=\"55232000\", alpha=\"0.17\", expect_size=\"22092800\"] \n  21 -> 22 [size =\"22092800\"]\n  22 [size=\"32250880\", alpha=\"0.19\", expect_size=\"12900352\"] \n  22 -> 23 [size =\"12900352\"]\n  23 [size=\"35031040\", alpha=\"0.09\", expect_size=\"14012416\"] \n  23 -> 24 [size =\"14012416\"]\n  24 [size=\"67765760\", alpha=\"0.05\", expect_size=\"27106304\"] \n  24 -> 25 [size =\"27106304\"]\n  25 [size=\"92794880\", alpha=\"0.19\", expect_size=\"37117952\"] \n  25 -> 26 [size =\"37117952\"]\n  26 [size=\"98485760\", alpha=\"0.05\", expect_size=\"39394304\"] \n  26 -> 27 [size =\"39394304\"]\n  27 [size=\"39667200\", alpha=\"0.10\", expect_size=\"15866880\"] \n  27 -> 28 [size =\"15866880\"]\n  28 [size=\"35389440\", alpha=\"0.18\", expect_size=\"14155776\"] \n  28 -> 29 [size =\"14155776\"]\n  29 [size=\"29089280\", alpha=\"0.16\", expect_size=\"11635712\"] \n  29 -> 30 [size =\"11635712\"]\n  30 [size=\"59010560\", alpha=\"0.10\", expect_size=\"23604224\"] \n  30 -> 31 [size =\"23604224\"]\n  31 [size=\"86341120\", alpha=\"0.01\", expect_size=\"34536448\"] \n  31 -> 32 [size =\"34536448\"]\n  32 [size=\"71498240\", alpha=\"0.18\", expect_size=\"28599296\"] \n  32 -> 33 [size =\"28599296\"]\n  33 [size=\"66501120\", alpha=\"0.12\", expect_size=\"26600448\"] \n  33 -> 34 [size =\"26600448\"]\n  34 [size=\"119334400\", alpha=\"0.08\", expect_size=\"47733760\"] \n  34 -> 35 [size =\"47733760\"]\n  35 [size=\"28218880\", alpha=\"0.02\", expect_size=\"11287552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50199040\", alpha=\"0.17\", expect_size=\"20079616\"] \n  1 -> 3 [size =\"20079616\"]\n  2 [size=\"93224960\", alpha=\"0.12\", expect_size=\"37289984\"] \n  3 [size=\"75942400\", alpha=\"0.01\", expect_size=\"30376960\"] \n  3 -> 4 [size =\"30376960\"]\n  3 -> 5 [size =\"30376960\"]\n  4 [size=\"36592640\", alpha=\"0.16\", expect_size=\"14637056\"] \n  4 -> 6 [size =\"14637056\"]\n  4 -> 7 [size =\"14637056\"]\n  5 [size=\"30822400\", alpha=\"0.00\", expect_size=\"12328960\"] \n  5 -> 7 [size =\"12328960\"]\n  6 [size=\"88294400\", alpha=\"0.02\", expect_size=\"35317760\"] \n  6 -> 8 [size =\"35317760\"]\n  7 [size=\"22126080\", alpha=\"0.20\", expect_size=\"8850432\"] \n  7 -> 8 [size =\"8850432\"]\n  7 -> 9 [size =\"8850432\"]\n  8 [size=\"13762560\", alpha=\"0.03\", expect_size=\"5505024\"] \n  8 -> 10 [size =\"5505024\"]\n  9 [size=\"65907200\", alpha=\"0.02\", expect_size=\"26362880\"] \n  9 -> 10 [size =\"26362880\"]\n  10 [size=\"46558720\", alpha=\"0.17\", expect_size=\"18623488\"] \n  10 -> 11 [size =\"18623488\"]\n  11 [size=\"115601920\", alpha=\"0.02\", expect_size=\"46240768\"] \n  11 -> 12 [size =\"46240768\"]\n  11 -> 13 [size =\"46240768\"]\n  12 [size=\"98867200\", alpha=\"0.01\", expect_size=\"39546880\"] \n  12 -> 14 [size =\"39546880\"]\n  13 [size=\"53900800\", alpha=\"0.10\", expect_size=\"21560320\"] \n  13 -> 14 [size =\"21560320\"]\n  14 [size=\"62279680\", alpha=\"0.03\", expect_size=\"24911872\"] \n  14 -> 15 [size =\"24911872\"]\n  15 [size=\"39180800\", alpha=\"0.13\", expect_size=\"15672320\"] \n  15 -> 16 [size =\"15672320\"]\n  16 [size=\"41036800\", alpha=\"0.00\", expect_size=\"16414720\"] \n  16 -> 17 [size =\"16414720\"]\n  16 -> 18 [size =\"16414720\"]\n  17 [size=\"55605760\", alpha=\"0.18\", expect_size=\"22242304\"] \n  17 -> 20 [size =\"22242304\"]\n  18 [size=\"53918720\", alpha=\"0.14\", expect_size=\"21567488\"] \n  18 -> 19 [size =\"21567488\"]\n  19 [size=\"71966720\", alpha=\"0.02\", expect_size=\"28786688\"] \n  19 -> 21 [size =\"28786688\"]\n  19 -> 22 [size =\"28786688\"]\n  20 [size=\"82224640\", alpha=\"0.08\", expect_size=\"32889856\"] \n  20 -> 21 [size =\"32889856\"]\n  20 -> 22 [size =\"32889856\"]\n  21 [size=\"64965120\", alpha=\"0.00\", expect_size=\"25986048\"] \n  21 -> 23 [size =\"25986048\"]\n  22 [size=\"78067200\", alpha=\"0.06\", expect_size=\"31226880\"] \n  22 -> 23 [size =\"31226880\"]\n  23 [size=\"84933120\", alpha=\"0.03\", expect_size=\"33973248\"] \n  23 -> 24 [size =\"33973248\"]\n  24 [size=\"28152320\", alpha=\"0.03\", expect_size=\"11260928\"] \n  24 -> 25 [size =\"11260928\"]\n  24 -> 26 [size =\"11260928\"]\n  25 [size=\"46305280\", alpha=\"0.07\", expect_size=\"18522112\"] \n  25 -> 28 [size =\"18522112\"]\n  26 [size=\"123289600\", alpha=\"0.03\", expect_size=\"49315840\"] \n  26 -> 27 [size =\"49315840\"]\n  26 -> 28 [size =\"49315840\"]\n  27 [size=\"125719040\", alpha=\"0.01\", expect_size=\"50287616\"] \n  27 -> 29 [size =\"50287616\"]\n  27 -> 30 [size =\"50287616\"]\n  28 [size=\"111124480\", alpha=\"0.19\", expect_size=\"44449792\"] \n  28 -> 29 [size =\"44449792\"]\n  28 -> 30 [size =\"44449792\"]\n  29 [size=\"78323200\", alpha=\"0.06\", expect_size=\"31329280\"] \n  29 -> 31 [size =\"31329280\"]\n  29 -> 32 [size =\"31329280\"]\n  30 [size=\"90557440\", alpha=\"0.19\", expect_size=\"36222976\"] \n  30 -> 31 [size =\"36222976\"]\n  30 -> 32 [size =\"36222976\"]\n  31 [size=\"20436480\", alpha=\"0.08\", expect_size=\"8174592\"] \n  31 -> 33 [size =\"8174592\"]\n  32 [size=\"23019520\", alpha=\"0.13\", expect_size=\"9207808\"] \n  32 -> 33 [size =\"9207808\"]\n  32 -> 34 [size =\"9207808\"]\n  33 [size=\"60464640\", alpha=\"0.04\", expect_size=\"24185856\"] \n  34 [size=\"77639680\", alpha=\"0.04\", expect_size=\"31055872\"] \n  34 -> 35 [size =\"31055872\"]\n  35 [size=\"98035200\", alpha=\"0.08\", expect_size=\"39214080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23874560\", alpha=\"0.13\", expect_size=\"9549824\"] \n  1 -> 20 [size =\"9549824\"]\n  2 [size=\"37790720\", alpha=\"0.14\", expect_size=\"15116288\"] \n  2 -> 26 [size =\"15116288\"]\n  2 -> 28 [size =\"15116288\"]\n  3 [size=\"25909760\", alpha=\"0.04\", expect_size=\"10363904\"] \n  3 -> 26 [size =\"10363904\"]\n  3 -> 27 [size =\"10363904\"]\n  4 [size=\"99448320\", alpha=\"0.03\", expect_size=\"39779328\"] \n  4 -> 17 [size =\"39779328\"]\n  4 -> 22 [size =\"39779328\"]\n  4 -> 26 [size =\"39779328\"]\n  4 -> 28 [size =\"39779328\"]\n  5 [size=\"55772160\", alpha=\"0.09\", expect_size=\"22308864\"] \n  5 -> 24 [size =\"22308864\"]\n  5 -> 28 [size =\"22308864\"]\n  6 [size=\"98408960\", alpha=\"0.08\", expect_size=\"39363584\"] \n  6 -> 22 [size =\"39363584\"]\n  7 [size=\"36090880\", alpha=\"0.00\", expect_size=\"14436352\"] \n  7 -> 25 [size =\"14436352\"]\n  7 -> 27 [size =\"14436352\"]\n  8 [size=\"50723840\", alpha=\"0.07\", expect_size=\"20289536\"] \n  8 -> 23 [size =\"20289536\"]\n  8 -> 24 [size =\"20289536\"]\n  8 -> 26 [size =\"20289536\"]\n  9 [size=\"14520320\", alpha=\"0.12\", expect_size=\"5808128\"] \n  9 -> 26 [size =\"5808128\"]\n  10 [size=\"108177920\", alpha=\"0.02\", expect_size=\"43271168\"] \n  10 -> 19 [size =\"43271168\"]\n  10 -> 20 [size =\"43271168\"]\n  10 -> 24 [size =\"43271168\"]\n  10 -> 28 [size =\"43271168\"]\n  11 [size=\"89218560\", alpha=\"0.07\", expect_size=\"35687424\"] \n  11 -> 17 [size =\"35687424\"]\n  11 -> 26 [size =\"35687424\"]\n  12 [size=\"48432640\", alpha=\"0.16\", expect_size=\"19373056\"] \n  12 -> 19 [size =\"19373056\"]\n  12 -> 24 [size =\"19373056\"]\n  12 -> 25 [size =\"19373056\"]\n  12 -> 26 [size =\"19373056\"]\n  13 [size=\"15406080\", alpha=\"0.06\", expect_size=\"6162432\"] \n  13 -> 18 [size =\"6162432\"]\n  13 -> 23 [size =\"6162432\"]\n  13 -> 24 [size =\"6162432\"]\n  14 [size=\"37534720\", alpha=\"0.18\", expect_size=\"15013888\"] \n  14 -> 20 [size =\"15013888\"]\n  14 -> 27 [size =\"15013888\"]\n  15 [size=\"55518720\", alpha=\"0.06\", expect_size=\"22207488\"] \n  15 -> 17 [size =\"22207488\"]\n  15 -> 21 [size =\"22207488\"]\n  15 -> 22 [size =\"22207488\"]\n  15 -> 28 [size =\"22207488\"]\n  16 [size=\"110356480\", alpha=\"0.11\", expect_size=\"44142592\"] \n  16 -> 21 [size =\"44142592\"]\n  16 -> 22 [size =\"44142592\"]\n  16 -> 22 [size =\"44142592\"]\n  16 -> 23 [size =\"44142592\"]\n  16 -> 24 [size =\"44142592\"]\n  17 [size=\"41256960\", alpha=\"0.15\", expect_size=\"16502784\"] \n  18 [size=\"41597440\", alpha=\"0.08\", expect_size=\"16638976\"] \n  18 -> 30 [size =\"16638976\"]\n  18 -> 31 [size =\"16638976\"]\n  19 [size=\"85306880\", alpha=\"0.02\", expect_size=\"34122752\"] \n  20 [size=\"37242880\", alpha=\"0.14\", expect_size=\"14897152\"] \n  20 -> 29 [size =\"14897152\"]\n  20 -> 32 [size =\"14897152\"]\n  21 [size=\"48343040\", alpha=\"0.08\", expect_size=\"19337216\"] \n  21 -> 29 [size =\"19337216\"]\n  21 -> 32 [size =\"19337216\"]\n  22 [size=\"86842880\", alpha=\"0.06\", expect_size=\"34737152\"] \n  22 -> 29 [size =\"34737152\"]\n  23 [size=\"61637120\", alpha=\"0.06\", expect_size=\"24654848\"] \n  23 -> 29 [size =\"24654848\"]\n  23 -> 32 [size =\"24654848\"]\n  23 -> 33 [size =\"24654848\"]\n  23 -> 34 [size =\"24654848\"]\n  23 -> 35 [size =\"24654848\"]\n  24 [size=\"96284160\", alpha=\"0.01\", expect_size=\"38513664\"] \n  24 -> 29 [size =\"38513664\"]\n  24 -> 32 [size =\"38513664\"]\n  24 -> 33 [size =\"38513664\"]\n  25 [size=\"83069440\", alpha=\"0.03\", expect_size=\"33227776\"] \n  25 -> 29 [size =\"33227776\"]\n  25 -> 30 [size =\"33227776\"]\n  25 -> 33 [size =\"33227776\"]\n  26 [size=\"117045760\", alpha=\"0.20\", expect_size=\"46818304\"] \n  26 -> 33 [size =\"46818304\"]\n  27 [size=\"61911040\", alpha=\"0.00\", expect_size=\"24764416\"] \n  27 -> 33 [size =\"24764416\"]\n  28 [size=\"32829440\", alpha=\"0.07\", expect_size=\"13131776\"] \n  28 -> 33 [size =\"13131776\"]\n  29 [size=\"79080960\", alpha=\"0.14\", expect_size=\"31632384\"] \n  30 [size=\"92131840\", alpha=\"0.17\", expect_size=\"36852736\"] \n  31 [size=\"58196480\", alpha=\"0.13\", expect_size=\"23278592\"] \n  32 [size=\"106009600\", alpha=\"0.16\", expect_size=\"42403840\"] \n  33 [size=\"24325120\", alpha=\"0.18\", expect_size=\"9730048\"] \n  34 [size=\"61875200\", alpha=\"0.05\", expect_size=\"24750080\"] \n  35 [size=\"69073920\", alpha=\"0.18\", expect_size=\"27629568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104655360\", alpha=\"0.16\", expect_size=\"41862144\"] \n  1 -> 2 [size =\"41862144\"]\n  2 [size=\"119400960\", alpha=\"0.14\", expect_size=\"47760384\"] \n  2 -> 3 [size =\"47760384\"]\n  3 [size=\"17367040\", alpha=\"0.01\", expect_size=\"6946816\"] \n  3 -> 4 [size =\"6946816\"]\n  4 [size=\"69806080\", alpha=\"0.13\", expect_size=\"27922432\"] \n  4 -> 5 [size =\"27922432\"]\n  4 -> 6 [size =\"27922432\"]\n  5 [size=\"22115840\", alpha=\"0.14\", expect_size=\"8846336\"] \n  5 -> 7 [size =\"8846336\"]\n  5 -> 8 [size =\"8846336\"]\n  6 [size=\"61130240\", alpha=\"0.04\", expect_size=\"24452096\"] \n  7 [size=\"62407680\", alpha=\"0.18\", expect_size=\"24963072\"] \n  8 [size=\"78305280\", alpha=\"0.13\", expect_size=\"31322112\"] \n  8 -> 9 [size =\"31322112\"]\n  8 -> 10 [size =\"31322112\"]\n  9 [size=\"18373120\", alpha=\"0.14\", expect_size=\"7349248\"] \n  10 [size=\"84057600\", alpha=\"0.07\", expect_size=\"33623040\"] \n  10 -> 11 [size =\"33623040\"]\n  11 [size=\"53626880\", alpha=\"0.08\", expect_size=\"21450752\"] \n  11 -> 12 [size =\"21450752\"]\n  12 [size=\"28341760\", alpha=\"0.06\", expect_size=\"11336704\"] \n  12 -> 13 [size =\"11336704\"]\n  13 [size=\"112588800\", alpha=\"0.06\", expect_size=\"45035520\"] \n  13 -> 14 [size =\"45035520\"]\n  13 -> 15 [size =\"45035520\"]\n  14 [size=\"117278720\", alpha=\"0.11\", expect_size=\"46911488\"] \n  14 -> 16 [size =\"46911488\"]\n  15 [size=\"74508800\", alpha=\"0.14\", expect_size=\"29803520\"] \n  16 [size=\"37248000\", alpha=\"0.02\", expect_size=\"14899200\"] \n  16 -> 17 [size =\"14899200\"]\n  16 -> 18 [size =\"14899200\"]\n  17 [size=\"61596160\", alpha=\"0.01\", expect_size=\"24638464\"] \n  17 -> 19 [size =\"24638464\"]\n  18 [size=\"49720320\", alpha=\"0.06\", expect_size=\"19888128\"] \n  18 -> 20 [size =\"19888128\"]\n  19 [size=\"127193600\", alpha=\"0.13\", expect_size=\"50877440\"] \n  20 [size=\"93931520\", alpha=\"0.16\", expect_size=\"37572608\"] \n  20 -> 21 [size =\"37572608\"]\n  21 [size=\"15649280\", alpha=\"0.14\", expect_size=\"6259712\"] \n  21 -> 22 [size =\"6259712\"]\n  22 [size=\"65674240\", alpha=\"0.11\", expect_size=\"26269696\"] \n  22 -> 23 [size =\"26269696\"]\n  22 -> 24 [size =\"26269696\"]\n  23 [size=\"103022080\", alpha=\"0.08\", expect_size=\"41208832\"] \n  24 [size=\"21309440\", alpha=\"0.15\", expect_size=\"8523776\"] \n  24 -> 25 [size =\"8523776\"]\n  25 [size=\"83560960\", alpha=\"0.03\", expect_size=\"33424384\"] \n  25 -> 26 [size =\"33424384\"]\n  26 [size=\"45501440\", alpha=\"0.19\", expect_size=\"18200576\"] \n  26 -> 27 [size =\"18200576\"]\n  27 [size=\"57630720\", alpha=\"0.04\", expect_size=\"23052288\"] \n  27 -> 28 [size =\"23052288\"]\n  27 -> 29 [size =\"23052288\"]\n  28 [size=\"64785920\", alpha=\"0.20\", expect_size=\"25914368\"] \n  29 [size=\"99845120\", alpha=\"0.17\", expect_size=\"39938048\"] \n  29 -> 30 [size =\"39938048\"]\n  29 -> 31 [size =\"39938048\"]\n  30 [size=\"57512960\", alpha=\"0.06\", expect_size=\"23005184\"] \n  30 -> 32 [size =\"23005184\"]\n  30 -> 33 [size =\"23005184\"]\n  31 [size=\"32302080\", alpha=\"0.01\", expect_size=\"12920832\"] \n  32 [size=\"115763200\", alpha=\"0.19\", expect_size=\"46305280\"] \n  33 [size=\"60298240\", alpha=\"0.15\", expect_size=\"24119296\"] \n  33 -> 34 [size =\"24119296\"]\n  33 -> 35 [size =\"24119296\"]\n  34 [size=\"106091520\", alpha=\"0.07\", expect_size=\"42436608\"] \n  35 [size=\"73920000\", alpha=\"0.10\", expect_size=\"29568000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86712320\", alpha=\"0.17\", expect_size=\"26013696\"] \n  1 -> 5 [size =\"26013696\"]\n  1 -> 6 [size =\"26013696\"]\n  2 [size=\"147869013\", alpha=\"0.12\", expect_size=\"44360704\"] \n  2 -> 5 [size =\"44360704\"]\n  2 -> 6 [size =\"44360704\"]\n  3 [size=\"126112427\", alpha=\"0.00\", expect_size=\"37833728\"] \n  3 -> 5 [size =\"37833728\"]\n  3 -> 6 [size =\"37833728\"]\n  3 -> 7 [size =\"37833728\"]\n  4 [size=\"93757440\", alpha=\"0.04\", expect_size=\"28127232\"] \n  4 -> 5 [size =\"28127232\"]\n  4 -> 6 [size =\"28127232\"]\n  5 [size=\"80216747\", alpha=\"0.19\", expect_size=\"24065024\"] \n  5 -> 8 [size =\"24065024\"]\n  6 [size=\"52408320\", alpha=\"0.04\", expect_size=\"15722496\"] \n  6 -> 8 [size =\"15722496\"]\n  6 -> 9 [size =\"15722496\"]\n  7 [size=\"139516587\", alpha=\"0.16\", expect_size=\"41854976\"] \n  7 -> 8 [size =\"41854976\"]\n  8 [size=\"56538453\", alpha=\"0.19\", expect_size=\"16961536\"] \n  8 -> 10 [size =\"16961536\"]\n  8 -> 11 [size =\"16961536\"]\n  8 -> 12 [size =\"16961536\"]\n  8 -> 13 [size =\"16961536\"]\n  9 [size=\"63662080\", alpha=\"0.09\", expect_size=\"19098624\"] \n  9 -> 10 [size =\"19098624\"]\n  9 -> 12 [size =\"19098624\"]\n  9 -> 13 [size =\"19098624\"]\n  10 [size=\"147319467\", alpha=\"0.11\", expect_size=\"44195840\"] \n  10 -> 15 [size =\"44195840\"]\n  11 [size=\"137103360\", alpha=\"0.02\", expect_size=\"41131008\"] \n  11 -> 15 [size =\"41131008\"]\n  11 -> 16 [size =\"41131008\"]\n  11 -> 17 [size =\"41131008\"]\n  12 [size=\"109834240\", alpha=\"0.08\", expect_size=\"32950272\"] \n  12 -> 14 [size =\"32950272\"]\n  12 -> 15 [size =\"32950272\"]\n  12 -> 17 [size =\"32950272\"]\n  13 [size=\"48233813\", alpha=\"0.20\", expect_size=\"14470144\"] \n  13 -> 14 [size =\"14470144\"]\n  13 -> 16 [size =\"14470144\"]\n  14 [size=\"49646933\", alpha=\"0.17\", expect_size=\"14894080\"] \n  14 -> 18 [size =\"14894080\"]\n  14 -> 19 [size =\"14894080\"]\n  14 -> 20 [size =\"14894080\"]\n  14 -> 21 [size =\"14894080\"]\n  15 [size=\"79189333\", alpha=\"0.18\", expect_size=\"23756800\"] \n  15 -> 18 [size =\"23756800\"]\n  15 -> 19 [size =\"23756800\"]\n  15 -> 20 [size =\"23756800\"]\n  15 -> 22 [size =\"23756800\"]\n  16 [size=\"74147840\", alpha=\"0.18\", expect_size=\"22244352\"] \n  16 -> 19 [size =\"22244352\"]\n  16 -> 19 [size =\"22244352\"]\n  16 -> 21 [size =\"22244352\"]\n  16 -> 22 [size =\"22244352\"]\n  17 [size=\"103372800\", alpha=\"0.10\", expect_size=\"31011840\"] \n  17 -> 20 [size =\"31011840\"]\n  17 -> 22 [size =\"31011840\"]\n  18 [size=\"74898773\", alpha=\"0.07\", expect_size=\"22469632\"] \n  18 -> 26 [size =\"22469632\"]\n  19 [size=\"69635413\", alpha=\"0.12\", expect_size=\"20890624\"] \n  19 -> 24 [size =\"20890624\"]\n  19 -> 25 [size =\"20890624\"]\n  19 -> 27 [size =\"20890624\"]\n  20 [size=\"136864427\", alpha=\"0.10\", expect_size=\"41059328\"] \n  20 -> 25 [size =\"41059328\"]\n  21 [size=\"67444053\", alpha=\"0.16\", expect_size=\"20233216\"] \n  21 -> 23 [size =\"20233216\"]\n  21 -> 24 [size =\"20233216\"]\n  22 [size=\"82131627\", alpha=\"0.19\", expect_size=\"24639488\"] \n  22 -> 26 [size =\"24639488\"]\n  23 [size=\"142271147\", alpha=\"0.16\", expect_size=\"42681344\"] \n  23 -> 28 [size =\"42681344\"]\n  23 -> 29 [size =\"42681344\"]\n  24 [size=\"141376853\", alpha=\"0.03\", expect_size=\"42413056\"] \n  24 -> 28 [size =\"42413056\"]\n  24 -> 29 [size =\"42413056\"]\n  24 -> 30 [size =\"42413056\"]\n  25 [size=\"120818347\", alpha=\"0.17\", expect_size=\"36245504\"] \n  25 -> 28 [size =\"36245504\"]\n  25 -> 29 [size =\"36245504\"]\n  25 -> 30 [size =\"36245504\"]\n  26 [size=\"102195200\", alpha=\"0.17\", expect_size=\"30658560\"] \n  26 -> 28 [size =\"30658560\"]\n  26 -> 29 [size =\"30658560\"]\n  27 [size=\"88719360\", alpha=\"0.11\", expect_size=\"26615808\"] \n  27 -> 28 [size =\"26615808\"]\n  27 -> 29 [size =\"26615808\"]\n  28 [size=\"163604480\", alpha=\"0.11\", expect_size=\"49081344\"] \n  28 -> 31 [size =\"49081344\"]\n  28 -> 33 [size =\"49081344\"]\n  29 [size=\"61371733\", alpha=\"0.16\", expect_size=\"18411520\"] \n  29 -> 31 [size =\"18411520\"]\n  29 -> 32 [size =\"18411520\"]\n  29 -> 34 [size =\"18411520\"]\n  29 -> 35 [size =\"18411520\"]\n  30 [size=\"154238293\", alpha=\"0.18\", expect_size=\"46271488\"] \n  30 -> 31 [size =\"46271488\"]\n  30 -> 32 [size =\"46271488\"]\n  30 -> 33 [size =\"46271488\"]\n  30 -> 34 [size =\"46271488\"]\n  31 [size=\"72161280\", alpha=\"0.15\", expect_size=\"21648384\"] \n  32 [size=\"41656320\", alpha=\"0.04\", expect_size=\"12496896\"] \n  33 [size=\"35836587\", alpha=\"0.17\", expect_size=\"10750976\"] \n  34 [size=\"163338240\", alpha=\"0.14\", expect_size=\"49001472\"] \n  35 [size=\"28583253\", alpha=\"0.19\", expect_size=\"8574976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97355776\", alpha=\"0.14\", expect_size=\"48677888\"] \n  1 -> 2 [size =\"48677888\"]\n  1 -> 3 [size =\"48677888\"]\n  2 [size=\"57186304\", alpha=\"0.03\", expect_size=\"28593152\"] \n  2 -> 4 [size =\"28593152\"]\n  2 -> 5 [size =\"28593152\"]\n  3 [size=\"81403904\", alpha=\"0.10\", expect_size=\"40701952\"] \n  3 -> 4 [size =\"40701952\"]\n  3 -> 5 [size =\"40701952\"]\n  4 [size=\"84252672\", alpha=\"0.03\", expect_size=\"42126336\"] \n  4 -> 6 [size =\"42126336\"]\n  5 [size=\"85026816\", alpha=\"0.02\", expect_size=\"42513408\"] \n  6 [size=\"72855552\", alpha=\"0.03\", expect_size=\"36427776\"] \n  6 -> 7 [size =\"36427776\"]\n  6 -> 8 [size =\"36427776\"]\n  7 [size=\"36192256\", alpha=\"0.06\", expect_size=\"18096128\"] \n  7 -> 9 [size =\"18096128\"]\n  7 -> 10 [size =\"18096128\"]\n  8 [size=\"48820224\", alpha=\"0.18\", expect_size=\"24410112\"] \n  8 -> 9 [size =\"24410112\"]\n  8 -> 10 [size =\"24410112\"]\n  9 [size=\"12238848\", alpha=\"0.09\", expect_size=\"6119424\"] \n  9 -> 11 [size =\"6119424\"]\n  9 -> 12 [size =\"6119424\"]\n  10 [size=\"94728192\", alpha=\"0.05\", expect_size=\"47364096\"] \n  10 -> 11 [size =\"47364096\"]\n  10 -> 12 [size =\"47364096\"]\n  11 [size=\"95694848\", alpha=\"0.19\", expect_size=\"47847424\"] \n  11 -> 13 [size =\"47847424\"]\n  11 -> 14 [size =\"47847424\"]\n  12 [size=\"65900544\", alpha=\"0.11\", expect_size=\"32950272\"] \n  12 -> 13 [size =\"32950272\"]\n  12 -> 14 [size =\"32950272\"]\n  13 [size=\"81938432\", alpha=\"0.10\", expect_size=\"40969216\"] \n  13 -> 15 [size =\"40969216\"]\n  14 [size=\"33175552\", alpha=\"0.09\", expect_size=\"16587776\"] \n  14 -> 15 [size =\"16587776\"]\n  15 [size=\"45778944\", alpha=\"0.04\", expect_size=\"22889472\"] \n  15 -> 16 [size =\"22889472\"]\n  15 -> 17 [size =\"22889472\"]\n  16 [size=\"55832576\", alpha=\"0.13\", expect_size=\"27916288\"] \n  16 -> 18 [size =\"27916288\"]\n  17 [size=\"70158336\", alpha=\"0.03\", expect_size=\"35079168\"] \n  18 [size=\"98584576\", alpha=\"0.12\", expect_size=\"49292288\"] \n  18 -> 19 [size =\"49292288\"]\n  19 [size=\"88342528\", alpha=\"0.09\", expect_size=\"44171264\"] \n  19 -> 20 [size =\"44171264\"]\n  20 [size=\"34301952\", alpha=\"0.11\", expect_size=\"17150976\"] \n  20 -> 21 [size =\"17150976\"]\n  20 -> 22 [size =\"17150976\"]\n  21 [size=\"58646528\", alpha=\"0.11\", expect_size=\"29323264\"] \n  21 -> 23 [size =\"29323264\"]\n  21 -> 24 [size =\"29323264\"]\n  22 [size=\"55422976\", alpha=\"0.02\", expect_size=\"27711488\"] \n  22 -> 23 [size =\"27711488\"]\n  22 -> 24 [size =\"27711488\"]\n  23 [size=\"14708736\", alpha=\"0.07\", expect_size=\"7354368\"] \n  23 -> 26 [size =\"7354368\"]\n  24 [size=\"63049728\", alpha=\"0.08\", expect_size=\"31524864\"] \n  24 -> 25 [size =\"31524864\"]\n  25 [size=\"103577600\", alpha=\"0.04\", expect_size=\"51788800\"] \n  25 -> 27 [size =\"51788800\"]\n  26 [size=\"25769984\", alpha=\"0.14\", expect_size=\"12884992\"] \n  26 -> 27 [size =\"12884992\"]\n  27 [size=\"86439936\", alpha=\"0.09\", expect_size=\"43219968\"] \n  27 -> 28 [size =\"43219968\"]\n  27 -> 29 [size =\"43219968\"]\n  28 [size=\"101941248\", alpha=\"0.13\", expect_size=\"50970624\"] \n  29 [size=\"62199808\", alpha=\"0.16\", expect_size=\"31099904\"] \n  29 -> 30 [size =\"31099904\"]\n  29 -> 31 [size =\"31099904\"]\n  30 [size=\"12167168\", alpha=\"0.18\", expect_size=\"6083584\"] \n  30 -> 32 [size =\"6083584\"]\n  31 [size=\"65132544\", alpha=\"0.18\", expect_size=\"32566272\"] \n  31 -> 32 [size =\"32566272\"]\n  32 [size=\"24852480\", alpha=\"0.09\", expect_size=\"12426240\"] \n  32 -> 33 [size =\"12426240\"]\n  32 -> 34 [size =\"12426240\"]\n  33 [size=\"32401408\", alpha=\"0.16\", expect_size=\"16200704\"] \n  33 -> 35 [size =\"16200704\"]\n  34 [size=\"64323584\", alpha=\"0.07\", expect_size=\"32161792\"] \n  34 -> 35 [size =\"32161792\"]\n  35 [size=\"100018176\", alpha=\"0.06\", expect_size=\"50009088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139557547\", alpha=\"0.20\", expect_size=\"41867264\"] \n  1 -> 5 [size =\"41867264\"]\n  1 -> 6 [size =\"41867264\"]\n  1 -> 7 [size =\"41867264\"]\n  2 [size=\"85292373\", alpha=\"0.02\", expect_size=\"25587712\"] \n  2 -> 4 [size =\"25587712\"]\n  2 -> 6 [size =\"25587712\"]\n  3 [size=\"21538133\", alpha=\"0.01\", expect_size=\"6461440\"] \n  4 [size=\"57473707\", alpha=\"0.20\", expect_size=\"17242112\"] \n  5 [size=\"113759573\", alpha=\"0.09\", expect_size=\"34127872\"] \n  5 -> 12 [size =\"34127872\"]\n  6 [size=\"117630293\", alpha=\"0.01\", expect_size=\"35289088\"] \n  6 -> 9 [size =\"35289088\"]\n  6 -> 10 [size =\"35289088\"]\n  6 -> 11 [size =\"35289088\"]\n  6 -> 12 [size =\"35289088\"]\n  7 [size=\"26009600\", alpha=\"0.12\", expect_size=\"7802880\"] \n  7 -> 8 [size =\"7802880\"]\n  7 -> 12 [size =\"7802880\"]\n  7 -> 13 [size =\"7802880\"]\n  8 [size=\"128983040\", alpha=\"0.18\", expect_size=\"38694912\"] \n  8 -> 14 [size =\"38694912\"]\n  8 -> 17 [size =\"38694912\"]\n  8 -> 18 [size =\"38694912\"]\n  9 [size=\"90627413\", alpha=\"0.02\", expect_size=\"27188224\"] \n  9 -> 14 [size =\"27188224\"]\n  9 -> 15 [size =\"27188224\"]\n  9 -> 16 [size =\"27188224\"]\n  9 -> 17 [size =\"27188224\"]\n  9 -> 18 [size =\"27188224\"]\n  10 [size=\"156006400\", alpha=\"0.08\", expect_size=\"46801920\"] \n  10 -> 18 [size =\"46801920\"]\n  11 [size=\"102191787\", alpha=\"0.19\", expect_size=\"30657536\"] \n  11 -> 17 [size =\"30657536\"]\n  12 [size=\"98331307\", alpha=\"0.09\", expect_size=\"29499392\"] \n  12 -> 14 [size =\"29499392\"]\n  12 -> 18 [size =\"29499392\"]\n  13 [size=\"110359893\", alpha=\"0.16\", expect_size=\"33107968\"] \n  13 -> 14 [size =\"33107968\"]\n  13 -> 15 [size =\"33107968\"]\n  14 [size=\"121101653\", alpha=\"0.16\", expect_size=\"36330496\"] \n  14 -> 20 [size =\"36330496\"]\n  14 -> 21 [size =\"36330496\"]\n  15 [size=\"117968213\", alpha=\"0.13\", expect_size=\"35390464\"] \n  15 -> 19 [size =\"35390464\"]\n  15 -> 20 [size =\"35390464\"]\n  16 [size=\"32385707\", alpha=\"0.12\", expect_size=\"9715712\"] \n  16 -> 19 [size =\"9715712\"]\n  16 -> 21 [size =\"9715712\"]\n  17 [size=\"36942507\", alpha=\"0.00\", expect_size=\"11082752\"] \n  17 -> 21 [size =\"11082752\"]\n  18 [size=\"128017067\", alpha=\"0.14\", expect_size=\"38405120\"] \n  18 -> 20 [size =\"38405120\"]\n  19 [size=\"109062827\", alpha=\"0.20\", expect_size=\"32718848\"] \n  19 -> 24 [size =\"32718848\"]\n  20 [size=\"121173333\", alpha=\"0.18\", expect_size=\"36352000\"] \n  20 -> 23 [size =\"36352000\"]\n  20 -> 24 [size =\"36352000\"]\n  20 -> 25 [size =\"36352000\"]\n  21 [size=\"25002667\", alpha=\"0.12\", expect_size=\"7500800\"] \n  21 -> 22 [size =\"7500800\"]\n  21 -> 23 [size =\"7500800\"]\n  21 -> 25 [size =\"7500800\"]\n  22 [size=\"18903040\", alpha=\"0.14\", expect_size=\"5670912\"] \n  22 -> 26 [size =\"5670912\"]\n  22 -> 27 [size =\"5670912\"]\n  23 [size=\"90781013\", alpha=\"0.17\", expect_size=\"27234304\"] \n  23 -> 30 [size =\"27234304\"]\n  24 [size=\"58470400\", alpha=\"0.05\", expect_size=\"17541120\"] \n  24 -> 28 [size =\"17541120\"]\n  24 -> 30 [size =\"17541120\"]\n  25 [size=\"29453653\", alpha=\"0.05\", expect_size=\"8836096\"] \n  25 -> 29 [size =\"8836096\"]\n  26 [size=\"129634987\", alpha=\"0.18\", expect_size=\"38890496\"] \n  26 -> 32 [size =\"38890496\"]\n  26 -> 34 [size =\"38890496\"]\n  27 [size=\"64153600\", alpha=\"0.11\", expect_size=\"19246080\"] \n  27 -> 32 [size =\"19246080\"]\n  27 -> 33 [size =\"19246080\"]\n  28 [size=\"65904640\", alpha=\"0.20\", expect_size=\"19771392\"] \n  28 -> 31 [size =\"19771392\"]\n  28 -> 33 [size =\"19771392\"]\n  28 -> 34 [size =\"19771392\"]\n  29 [size=\"173257387\", alpha=\"0.17\", expect_size=\"51977216\"] \n  29 -> 31 [size =\"51977216\"]\n  29 -> 32 [size =\"51977216\"]\n  30 [size=\"173079893\", alpha=\"0.12\", expect_size=\"51923968\"] \n  30 -> 31 [size =\"51923968\"]\n  31 [size=\"158013440\", alpha=\"0.18\", expect_size=\"47404032\"] \n  32 [size=\"92859733\", alpha=\"0.14\", expect_size=\"27857920\"] \n  32 -> 35 [size =\"27857920\"]\n  33 [size=\"45434880\", alpha=\"0.02\", expect_size=\"13630464\"] \n  33 -> 35 [size =\"13630464\"]\n  34 [size=\"19800747\", alpha=\"0.03\", expect_size=\"5940224\"] \n  35 [size=\"55958187\", alpha=\"0.17\", expect_size=\"16787456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21596160\", alpha=\"0.16\", expect_size=\"8638464\"] \n  1 -> 12 [size =\"8638464\"]\n  1 -> 13 [size =\"8638464\"]\n  1 -> 16 [size =\"8638464\"]\n  1 -> 17 [size =\"8638464\"]\n  1 -> 19 [size =\"8638464\"]\n  1 -> 21 [size =\"8638464\"]\n  2 [size=\"61424640\", alpha=\"0.19\", expect_size=\"24569856\"] \n  2 -> 12 [size =\"24569856\"]\n  2 -> 17 [size =\"24569856\"]\n  2 -> 20 [size =\"24569856\"]\n  3 [size=\"25075200\", alpha=\"0.05\", expect_size=\"10030080\"] \n  3 -> 18 [size =\"10030080\"]\n  3 -> 21 [size =\"10030080\"]\n  3 -> 22 [size =\"10030080\"]\n  3 -> 23 [size =\"10030080\"]\n  4 [size=\"26270720\", alpha=\"0.09\", expect_size=\"10508288\"] \n  4 -> 20 [size =\"10508288\"]\n  4 -> 22 [size =\"10508288\"]\n  4 -> 23 [size =\"10508288\"]\n  5 [size=\"97571840\", alpha=\"0.03\", expect_size=\"39028736\"] \n  5 -> 18 [size =\"39028736\"]\n  5 -> 24 [size =\"39028736\"]\n  6 [size=\"55976960\", alpha=\"0.15\", expect_size=\"22390784\"] \n  6 -> 23 [size =\"22390784\"]\n  7 [size=\"101603840\", alpha=\"0.12\", expect_size=\"40641536\"] \n  7 -> 12 [size =\"40641536\"]\n  7 -> 13 [size =\"40641536\"]\n  7 -> 17 [size =\"40641536\"]\n  7 -> 19 [size =\"40641536\"]\n  7 -> 22 [size =\"40641536\"]\n  7 -> 23 [size =\"40641536\"]\n  8 [size=\"123269120\", alpha=\"0.20\", expect_size=\"49307648\"] \n  8 -> 12 [size =\"49307648\"]\n  8 -> 17 [size =\"49307648\"]\n  8 -> 18 [size =\"49307648\"]\n  9 [size=\"30481920\", alpha=\"0.10\", expect_size=\"12192768\"] \n  9 -> 15 [size =\"12192768\"]\n  9 -> 17 [size =\"12192768\"]\n  9 -> 22 [size =\"12192768\"]\n  9 -> 24 [size =\"12192768\"]\n  10 [size=\"85729280\", alpha=\"0.17\", expect_size=\"34291712\"] \n  10 -> 16 [size =\"34291712\"]\n  11 [size=\"61447680\", alpha=\"0.14\", expect_size=\"24579072\"] \n  11 -> 12 [size =\"24579072\"]\n  11 -> 14 [size =\"24579072\"]\n  11 -> 18 [size =\"24579072\"]\n  11 -> 20 [size =\"24579072\"]\n  11 -> 23 [size =\"24579072\"]\n  12 [size=\"40427520\", alpha=\"0.10\", expect_size=\"16171008\"] \n  12 -> 29 [size =\"16171008\"]\n  13 [size=\"35502080\", alpha=\"0.06\", expect_size=\"14200832\"] \n  14 [size=\"64855040\", alpha=\"0.07\", expect_size=\"25942016\"] \n  14 -> 25 [size =\"25942016\"]\n  14 -> 26 [size =\"25942016\"]\n  15 [size=\"119444480\", alpha=\"0.10\", expect_size=\"47777792\"] \n  15 -> 29 [size =\"47777792\"]\n  15 -> 34 [size =\"47777792\"]\n  16 [size=\"20533760\", alpha=\"0.02\", expect_size=\"8213504\"] \n  16 -> 26 [size =\"8213504\"]\n  16 -> 28 [size =\"8213504\"]\n  16 -> 29 [size =\"8213504\"]\n  16 -> 30 [size =\"8213504\"]\n  17 [size=\"108410880\", alpha=\"0.17\", expect_size=\"43364352\"] \n  17 -> 27 [size =\"43364352\"]\n  17 -> 29 [size =\"43364352\"]\n  17 -> 30 [size =\"43364352\"]\n  17 -> 30 [size =\"43364352\"]\n  17 -> 34 [size =\"43364352\"]\n  18 [size=\"64099840\", alpha=\"0.06\", expect_size=\"25639936\"] \n  18 -> 25 [size =\"25639936\"]\n  18 -> 29 [size =\"25639936\"]\n  18 -> 30 [size =\"25639936\"]\n  18 -> 31 [size =\"25639936\"]\n  19 [size=\"61539840\", alpha=\"0.11\", expect_size=\"24615936\"] \n  19 -> 25 [size =\"24615936\"]\n  19 -> 32 [size =\"24615936\"]\n  20 [size=\"118080000\", alpha=\"0.08\", expect_size=\"47232000\"] \n  20 -> 31 [size =\"47232000\"]\n  20 -> 32 [size =\"47232000\"]\n  20 -> 33 [size =\"47232000\"]\n  21 [size=\"100001280\", alpha=\"0.07\", expect_size=\"40000512\"] \n  21 -> 26 [size =\"40000512\"]\n  21 -> 33 [size =\"40000512\"]\n  21 -> 33 [size =\"40000512\"]\n  21 -> 34 [size =\"40000512\"]\n  22 [size=\"65907200\", alpha=\"0.14\", expect_size=\"26362880\"] \n  22 -> 30 [size =\"26362880\"]\n  22 -> 31 [size =\"26362880\"]\n  22 -> 32 [size =\"26362880\"]\n  22 -> 33 [size =\"26362880\"]\n  23 [size=\"123450880\", alpha=\"0.03\", expect_size=\"49380352\"] \n  23 -> 28 [size =\"49380352\"]\n  23 -> 29 [size =\"49380352\"]\n  23 -> 31 [size =\"49380352\"]\n  23 -> 33 [size =\"49380352\"]\n  24 [size=\"40442880\", alpha=\"0.14\", expect_size=\"16177152\"] \n  24 -> 27 [size =\"16177152\"]\n  24 -> 30 [size =\"16177152\"]\n  25 [size=\"83719680\", alpha=\"0.19\", expect_size=\"33487872\"] \n  25 -> 35 [size =\"33487872\"]\n  26 [size=\"21949440\", alpha=\"0.12\", expect_size=\"8779776\"] \n  27 [size=\"35648000\", alpha=\"0.20\", expect_size=\"14259200\"] \n  27 -> 35 [size =\"14259200\"]\n  28 [size=\"15825920\", alpha=\"0.06\", expect_size=\"6330368\"] \n  29 [size=\"51402240\", alpha=\"0.16\", expect_size=\"20560896\"] \n  30 [size=\"114350080\", alpha=\"0.17\", expect_size=\"45740032\"] \n  30 -> 35 [size =\"45740032\"]\n  31 [size=\"43269120\", alpha=\"0.07\", expect_size=\"17307648\"] \n  32 [size=\"82577920\", alpha=\"0.02\", expect_size=\"33031168\"] \n  33 [size=\"44666880\", alpha=\"0.20\", expect_size=\"17866752\"] \n  34 [size=\"59468800\", alpha=\"0.07\", expect_size=\"23787520\"] \n  35 [size=\"22184960\", alpha=\"0.12\", expect_size=\"8873984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57461760\", alpha=\"0.02\", expect_size=\"22984704\"] \n  2 [size=\"27074560\", alpha=\"0.04\", expect_size=\"10829824\"] \n  2 -> 6 [size =\"10829824\"]\n  2 -> 7 [size =\"10829824\"]\n  2 -> 8 [size =\"10829824\"]\n  3 [size=\"76505600\", alpha=\"0.11\", expect_size=\"30602240\"] \n  3 -> 5 [size =\"30602240\"]\n  3 -> 6 [size =\"30602240\"]\n  3 -> 8 [size =\"30602240\"]\n  4 [size=\"27143680\", alpha=\"0.13\", expect_size=\"10857472\"] \n  5 [size=\"44037120\", alpha=\"0.03\", expect_size=\"17614848\"] \n  5 -> 10 [size =\"17614848\"]\n  6 [size=\"123064320\", alpha=\"0.17\", expect_size=\"49225728\"] \n  6 -> 11 [size =\"49225728\"]\n  6 -> 13 [size =\"49225728\"]\n  7 [size=\"55449600\", alpha=\"0.06\", expect_size=\"22179840\"] \n  7 -> 9 [size =\"22179840\"]\n  7 -> 10 [size =\"22179840\"]\n  7 -> 14 [size =\"22179840\"]\n  8 [size=\"110374400\", alpha=\"0.10\", expect_size=\"44149760\"] \n  8 -> 12 [size =\"44149760\"]\n  8 -> 13 [size =\"44149760\"]\n  8 -> 14 [size =\"44149760\"]\n  9 [size=\"45752320\", alpha=\"0.08\", expect_size=\"18300928\"] \n  9 -> 16 [size =\"18300928\"]\n  9 -> 18 [size =\"18300928\"]\n  10 [size=\"96875520\", alpha=\"0.19\", expect_size=\"38750208\"] \n  10 -> 15 [size =\"38750208\"]\n  10 -> 16 [size =\"38750208\"]\n  10 -> 19 [size =\"38750208\"]\n  10 -> 20 [size =\"38750208\"]\n  11 [size=\"36935680\", alpha=\"0.01\", expect_size=\"14774272\"] \n  11 -> 15 [size =\"14774272\"]\n  11 -> 18 [size =\"14774272\"]\n  11 -> 19 [size =\"14774272\"]\n  11 -> 20 [size =\"14774272\"]\n  12 [size=\"50063360\", alpha=\"0.02\", expect_size=\"20025344\"] \n  12 -> 17 [size =\"20025344\"]\n  13 [size=\"74181120\", alpha=\"0.09\", expect_size=\"29672448\"] \n  13 -> 15 [size =\"29672448\"]\n  13 -> 17 [size =\"29672448\"]\n  13 -> 19 [size =\"29672448\"]\n  14 [size=\"23055360\", alpha=\"0.10\", expect_size=\"9222144\"] \n  14 -> 16 [size =\"9222144\"]\n  14 -> 17 [size =\"9222144\"]\n  15 [size=\"102343680\", alpha=\"0.07\", expect_size=\"40937472\"] \n  15 -> 21 [size =\"40937472\"]\n  15 -> 23 [size =\"40937472\"]\n  16 [size=\"118622720\", alpha=\"0.08\", expect_size=\"47449088\"] \n  16 -> 21 [size =\"47449088\"]\n  17 [size=\"103416320\", alpha=\"0.14\", expect_size=\"41366528\"] \n  17 -> 24 [size =\"41366528\"]\n  18 [size=\"21624320\", alpha=\"0.08\", expect_size=\"8649728\"] \n  18 -> 23 [size =\"8649728\"]\n  18 -> 24 [size =\"8649728\"]\n  19 [size=\"78986240\", alpha=\"0.01\", expect_size=\"31594496\"] \n  19 -> 21 [size =\"31594496\"]\n  19 -> 23 [size =\"31594496\"]\n  19 -> 24 [size =\"31594496\"]\n  20 [size=\"127820800\", alpha=\"0.09\", expect_size=\"51128320\"] \n  20 -> 22 [size =\"51128320\"]\n  21 [size=\"121871360\", alpha=\"0.05\", expect_size=\"48748544\"] \n  21 -> 25 [size =\"48748544\"]\n  21 -> 26 [size =\"48748544\"]\n  21 -> 28 [size =\"48748544\"]\n  21 -> 29 [size =\"48748544\"]\n  22 [size=\"129779200\", alpha=\"0.04\", expect_size=\"51911680\"] \n  23 [size=\"24317440\", alpha=\"0.13\", expect_size=\"9726976\"] \n  23 -> 27 [size =\"9726976\"]\n  23 -> 28 [size =\"9726976\"]\n  24 [size=\"80089600\", alpha=\"0.05\", expect_size=\"32035840\"] \n  24 -> 26 [size =\"32035840\"]\n  25 [size=\"21360640\", alpha=\"0.02\", expect_size=\"8544256\"] \n  25 -> 31 [size =\"8544256\"]\n  25 -> 32 [size =\"8544256\"]\n  25 -> 34 [size =\"8544256\"]\n  26 [size=\"60633600\", alpha=\"0.17\", expect_size=\"24253440\"] \n  26 -> 33 [size =\"24253440\"]\n  26 -> 34 [size =\"24253440\"]\n  27 [size=\"106513920\", alpha=\"0.20\", expect_size=\"42605568\"] \n  27 -> 30 [size =\"42605568\"]\n  27 -> 33 [size =\"42605568\"]\n  28 [size=\"74053120\", alpha=\"0.19\", expect_size=\"29621248\"] \n  28 -> 30 [size =\"29621248\"]\n  28 -> 31 [size =\"29621248\"]\n  29 [size=\"120734720\", alpha=\"0.04\", expect_size=\"48293888\"] \n  29 -> 30 [size =\"48293888\"]\n  30 [size=\"124375040\", alpha=\"0.03\", expect_size=\"49750016\"] \n  31 [size=\"60899840\", alpha=\"0.06\", expect_size=\"24359936\"] \n  32 [size=\"92628480\", alpha=\"0.15\", expect_size=\"37051392\"] \n  33 [size=\"115566080\", alpha=\"0.15\", expect_size=\"46226432\"] \n  33 -> 35 [size =\"46226432\"]\n  34 [size=\"75143680\", alpha=\"0.16\", expect_size=\"30057472\"] \n  34 -> 35 [size =\"30057472\"]\n  35 [size=\"103367680\", alpha=\"0.12\", expect_size=\"41347072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107223040\", alpha=\"0.15\", expect_size=\"32166912\"] \n  1 -> 16 [size =\"32166912\"]\n  1 -> 18 [size =\"32166912\"]\n  1 -> 20 [size =\"32166912\"]\n  1 -> 23 [size =\"32166912\"]\n  2 [size=\"58518187\", alpha=\"0.10\", expect_size=\"17555456\"] \n  2 -> 16 [size =\"17555456\"]\n  2 -> 20 [size =\"17555456\"]\n  2 -> 24 [size =\"17555456\"]\n  3 [size=\"141864960\", alpha=\"0.09\", expect_size=\"42559488\"] \n  3 -> 15 [size =\"42559488\"]\n  3 -> 16 [size =\"42559488\"]\n  3 -> 17 [size =\"42559488\"]\n  3 -> 20 [size =\"42559488\"]\n  3 -> 23 [size =\"42559488\"]\n  3 -> 24 [size =\"42559488\"]\n  4 [size=\"71990613\", alpha=\"0.11\", expect_size=\"21597184\"] \n  4 -> 25 [size =\"21597184\"]\n  4 -> 27 [size =\"21597184\"]\n  4 -> 28 [size =\"21597184\"]\n  5 [size=\"142073173\", alpha=\"0.13\", expect_size=\"42621952\"] \n  5 -> 18 [size =\"42621952\"]\n  5 -> 24 [size =\"42621952\"]\n  6 [size=\"84066987\", alpha=\"0.08\", expect_size=\"25220096\"] \n  6 -> 18 [size =\"25220096\"]\n  6 -> 25 [size =\"25220096\"]\n  6 -> 28 [size =\"25220096\"]\n  7 [size=\"166666240\", alpha=\"0.04\", expect_size=\"49999872\"] \n  7 -> 20 [size =\"49999872\"]\n  7 -> 25 [size =\"49999872\"]\n  8 [size=\"100293973\", alpha=\"0.06\", expect_size=\"30088192\"] \n  8 -> 23 [size =\"30088192\"]\n  8 -> 25 [size =\"30088192\"]\n  9 [size=\"133959680\", alpha=\"0.19\", expect_size=\"40187904\"] \n  9 -> 16 [size =\"40187904\"]\n  9 -> 20 [size =\"40187904\"]\n  9 -> 23 [size =\"40187904\"]\n  9 -> 24 [size =\"40187904\"]\n  10 [size=\"162095787\", alpha=\"0.15\", expect_size=\"48628736\"] \n  10 -> 19 [size =\"48628736\"]\n  10 -> 23 [size =\"48628736\"]\n  10 -> 26 [size =\"48628736\"]\n  11 [size=\"94907733\", alpha=\"0.11\", expect_size=\"28472320\"] \n  11 -> 19 [size =\"28472320\"]\n  11 -> 21 [size =\"28472320\"]\n  11 -> 22 [size =\"28472320\"]\n  11 -> 23 [size =\"28472320\"]\n  11 -> 27 [size =\"28472320\"]\n  12 [size=\"54231040\", alpha=\"0.13\", expect_size=\"16269312\"] \n  12 -> 17 [size =\"16269312\"]\n  12 -> 19 [size =\"16269312\"]\n  12 -> 20 [size =\"16269312\"]\n  12 -> 23 [size =\"16269312\"]\n  12 -> 25 [size =\"16269312\"]\n  13 [size=\"131539627\", alpha=\"0.15\", expect_size=\"39461888\"] \n  13 -> 17 [size =\"39461888\"]\n  13 -> 22 [size =\"39461888\"]\n  13 -> 24 [size =\"39461888\"]\n  13 -> 25 [size =\"39461888\"]\n  13 -> 27 [size =\"39461888\"]\n  14 [size=\"44646400\", alpha=\"0.12\", expect_size=\"13393920\"] \n  14 -> 20 [size =\"13393920\"]\n  14 -> 26 [size =\"13393920\"]\n  15 [size=\"127518720\", alpha=\"0.00\", expect_size=\"38255616\"] \n  15 -> 35 [size =\"38255616\"]\n  16 [size=\"73226240\", alpha=\"0.00\", expect_size=\"21967872\"] \n  16 -> 34 [size =\"21967872\"]\n  16 -> 35 [size =\"21967872\"]\n  17 [size=\"138571093\", alpha=\"0.01\", expect_size=\"41571328\"] \n  17 -> 33 [size =\"41571328\"]\n  18 [size=\"167550293\", alpha=\"0.08\", expect_size=\"50265088\"] \n  18 -> 29 [size =\"50265088\"]\n  18 -> 30 [size =\"50265088\"]\n  18 -> 33 [size =\"50265088\"]\n  19 [size=\"55869440\", alpha=\"0.18\", expect_size=\"16760832\"] \n  19 -> 30 [size =\"16760832\"]\n  20 [size=\"50452480\", alpha=\"0.06\", expect_size=\"15135744\"] \n  21 [size=\"167796053\", alpha=\"0.06\", expect_size=\"50338816\"] \n  21 -> 30 [size =\"50338816\"]\n  21 -> 35 [size =\"50338816\"]\n  22 [size=\"97010347\", alpha=\"0.10\", expect_size=\"29103104\"] \n  22 -> 30 [size =\"29103104\"]\n  23 [size=\"39570773\", alpha=\"0.11\", expect_size=\"11871232\"] \n  23 -> 29 [size =\"11871232\"]\n  23 -> 31 [size =\"11871232\"]\n  23 -> 32 [size =\"11871232\"]\n  24 [size=\"160443733\", alpha=\"0.18\", expect_size=\"48133120\"] \n  24 -> 29 [size =\"48133120\"]\n  24 -> 31 [size =\"48133120\"]\n  24 -> 34 [size =\"48133120\"]\n  25 [size=\"94470827\", alpha=\"0.01\", expect_size=\"28341248\"] \n  25 -> 29 [size =\"28341248\"]\n  26 [size=\"96870400\", alpha=\"0.13\", expect_size=\"29061120\"] \n  27 [size=\"99536213\", alpha=\"0.04\", expect_size=\"29860864\"] \n  27 -> 29 [size =\"29860864\"]\n  27 -> 31 [size =\"29860864\"]\n  28 [size=\"110175573\", alpha=\"0.05\", expect_size=\"33052672\"] \n  28 -> 29 [size =\"33052672\"]\n  29 [size=\"174025387\", alpha=\"0.01\", expect_size=\"52207616\"] \n  30 [size=\"159559680\", alpha=\"0.15\", expect_size=\"47867904\"] \n  31 [size=\"50821120\", alpha=\"0.20\", expect_size=\"15246336\"] \n  32 [size=\"94849707\", alpha=\"0.09\", expect_size=\"28454912\"] \n  33 [size=\"18114560\", alpha=\"0.12\", expect_size=\"5434368\"] \n  34 [size=\"102290773\", alpha=\"0.19\", expect_size=\"30687232\"] \n  35 [size=\"87323307\", alpha=\"0.20\", expect_size=\"26196992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107156480\", alpha=\"0.06\", expect_size=\"42862592\"] \n  1 -> 2 [size =\"42862592\"]\n  2 [size=\"22010880\", alpha=\"0.14\", expect_size=\"8804352\"] \n  2 -> 3 [size =\"8804352\"]\n  2 -> 4 [size =\"8804352\"]\n  3 [size=\"89231360\", alpha=\"0.18\", expect_size=\"35692544\"] \n  3 -> 5 [size =\"35692544\"]\n  4 [size=\"115906560\", alpha=\"0.07\", expect_size=\"46362624\"] \n  5 [size=\"19020800\", alpha=\"0.03\", expect_size=\"7608320\"] \n  5 -> 6 [size =\"7608320\"]\n  6 [size=\"81748480\", alpha=\"0.12\", expect_size=\"32699392\"] \n  6 -> 7 [size =\"32699392\"]\n  7 [size=\"74086400\", alpha=\"0.05\", expect_size=\"29634560\"] \n  7 -> 8 [size =\"29634560\"]\n  7 -> 9 [size =\"29634560\"]\n  8 [size=\"101724160\", alpha=\"0.17\", expect_size=\"40689664\"] \n  8 -> 11 [size =\"40689664\"]\n  9 [size=\"34237440\", alpha=\"0.12\", expect_size=\"13694976\"] \n  9 -> 10 [size =\"13694976\"]\n  10 [size=\"19491840\", alpha=\"0.02\", expect_size=\"7796736\"] \n  11 [size=\"70295040\", alpha=\"0.03\", expect_size=\"28118016\"] \n  11 -> 12 [size =\"28118016\"]\n  12 [size=\"104089600\", alpha=\"0.17\", expect_size=\"41635840\"] \n  12 -> 13 [size =\"41635840\"]\n  13 [size=\"66841600\", alpha=\"0.12\", expect_size=\"26736640\"] \n  13 -> 14 [size =\"26736640\"]\n  13 -> 15 [size =\"26736640\"]\n  14 [size=\"56389120\", alpha=\"0.19\", expect_size=\"22555648\"] \n  14 -> 16 [size =\"22555648\"]\n  14 -> 17 [size =\"22555648\"]\n  15 [size=\"97768960\", alpha=\"0.07\", expect_size=\"39107584\"] \n  16 [size=\"114639360\", alpha=\"0.04\", expect_size=\"45855744\"] \n  17 [size=\"66014720\", alpha=\"0.15\", expect_size=\"26405888\"] \n  17 -> 18 [size =\"26405888\"]\n  17 -> 19 [size =\"26405888\"]\n  18 [size=\"95500800\", alpha=\"0.02\", expect_size=\"38200320\"] \n  18 -> 20 [size =\"38200320\"]\n  19 [size=\"79754240\", alpha=\"0.07\", expect_size=\"31901696\"] \n  20 [size=\"33213440\", alpha=\"0.11\", expect_size=\"13285376\"] \n  20 -> 21 [size =\"13285376\"]\n  20 -> 22 [size =\"13285376\"]\n  21 [size=\"42600960\", alpha=\"0.10\", expect_size=\"17040384\"] \n  21 -> 23 [size =\"17040384\"]\n  21 -> 24 [size =\"17040384\"]\n  22 [size=\"62182400\", alpha=\"0.10\", expect_size=\"24872960\"] \n  23 [size=\"44917760\", alpha=\"0.04\", expect_size=\"17967104\"] \n  23 -> 25 [size =\"17967104\"]\n  24 [size=\"113459200\", alpha=\"0.15\", expect_size=\"45383680\"] \n  25 [size=\"110374400\", alpha=\"0.07\", expect_size=\"44149760\"] \n  25 -> 26 [size =\"44149760\"]\n  25 -> 27 [size =\"44149760\"]\n  26 [size=\"36567040\", alpha=\"0.11\", expect_size=\"14626816\"] \n  26 -> 28 [size =\"14626816\"]\n  27 [size=\"58380800\", alpha=\"0.05\", expect_size=\"23352320\"] \n  27 -> 29 [size =\"23352320\"]\n  28 [size=\"30312960\", alpha=\"0.14\", expect_size=\"12125184\"] \n  29 [size=\"41472000\", alpha=\"0.06\", expect_size=\"16588800\"] \n  29 -> 30 [size =\"16588800\"]\n  29 -> 31 [size =\"16588800\"]\n  30 [size=\"85148160\", alpha=\"0.20\", expect_size=\"34059264\"] \n  30 -> 33 [size =\"34059264\"]\n  31 [size=\"29788160\", alpha=\"0.03\", expect_size=\"11915264\"] \n  31 -> 32 [size =\"11915264\"]\n  32 [size=\"87406080\", alpha=\"0.02\", expect_size=\"34962432\"] \n  33 [size=\"30981120\", alpha=\"0.10\", expect_size=\"12392448\"] \n  33 -> 34 [size =\"12392448\"]\n  34 [size=\"54599680\", alpha=\"0.05\", expect_size=\"21839872\"] \n  34 -> 35 [size =\"21839872\"]\n  35 [size=\"25136640\", alpha=\"0.15\", expect_size=\"10054656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37890560\", alpha=\"0.04\", expect_size=\"15156224\"] \n  1 -> 17 [size =\"15156224\"]\n  2 [size=\"69982720\", alpha=\"0.02\", expect_size=\"27993088\"] \n  2 -> 18 [size =\"27993088\"]\n  2 -> 19 [size =\"27993088\"]\n  3 [size=\"67279360\", alpha=\"0.15\", expect_size=\"26911744\"] \n  3 -> 18 [size =\"26911744\"]\n  3 -> 20 [size =\"26911744\"]\n  3 -> 22 [size =\"26911744\"]\n  4 [size=\"30576640\", alpha=\"0.00\", expect_size=\"12230656\"] \n  4 -> 14 [size =\"12230656\"]\n  4 -> 15 [size =\"12230656\"]\n  4 -> 18 [size =\"12230656\"]\n  5 [size=\"37895680\", alpha=\"0.14\", expect_size=\"15158272\"] \n  5 -> 14 [size =\"15158272\"]\n  5 -> 21 [size =\"15158272\"]\n  6 [size=\"108472320\", alpha=\"0.01\", expect_size=\"43388928\"] \n  6 -> 13 [size =\"43388928\"]\n  6 -> 14 [size =\"43388928\"]\n  6 -> 18 [size =\"43388928\"]\n  6 -> 20 [size =\"43388928\"]\n  6 -> 22 [size =\"43388928\"]\n  7 [size=\"19648000\", alpha=\"0.19\", expect_size=\"7859200\"] \n  7 -> 16 [size =\"7859200\"]\n  7 -> 19 [size =\"7859200\"]\n  7 -> 20 [size =\"7859200\"]\n  7 -> 21 [size =\"7859200\"]\n  7 -> 23 [size =\"7859200\"]\n  8 [size=\"129190400\", alpha=\"0.14\", expect_size=\"51676160\"] \n  8 -> 14 [size =\"51676160\"]\n  8 -> 20 [size =\"51676160\"]\n  8 -> 22 [size =\"51676160\"]\n  9 [size=\"87390720\", alpha=\"0.12\", expect_size=\"34956288\"] \n  9 -> 14 [size =\"34956288\"]\n  9 -> 15 [size =\"34956288\"]\n  9 -> 21 [size =\"34956288\"]\n  10 [size=\"30732800\", alpha=\"0.14\", expect_size=\"12293120\"] \n  11 [size=\"110691840\", alpha=\"0.07\", expect_size=\"44276736\"] \n  11 -> 13 [size =\"44276736\"]\n  11 -> 15 [size =\"44276736\"]\n  12 [size=\"14279680\", alpha=\"0.11\", expect_size=\"5711872\"] \n  12 -> 15 [size =\"5711872\"]\n  12 -> 17 [size =\"5711872\"]\n  13 [size=\"26332160\", alpha=\"0.04\", expect_size=\"10532864\"] \n  13 -> 24 [size =\"10532864\"]\n  13 -> 26 [size =\"10532864\"]\n  13 -> 31 [size =\"10532864\"]\n  13 -> 33 [size =\"10532864\"]\n  13 -> 35 [size =\"10532864\"]\n  14 [size=\"117281280\", alpha=\"0.02\", expect_size=\"46912512\"] \n  14 -> 25 [size =\"46912512\"]\n  14 -> 26 [size =\"46912512\"]\n  14 -> 28 [size =\"46912512\"]\n  15 [size=\"118430720\", alpha=\"0.08\", expect_size=\"47372288\"] \n  15 -> 24 [size =\"47372288\"]\n  15 -> 27 [size =\"47372288\"]\n  15 -> 28 [size =\"47372288\"]\n  15 -> 30 [size =\"47372288\"]\n  16 [size=\"81034240\", alpha=\"0.05\", expect_size=\"32413696\"] \n  16 -> 24 [size =\"32413696\"]\n  16 -> 27 [size =\"32413696\"]\n  16 -> 28 [size =\"32413696\"]\n  16 -> 30 [size =\"32413696\"]\n  16 -> 32 [size =\"32413696\"]\n  16 -> 35 [size =\"32413696\"]\n  17 [size=\"88084480\", alpha=\"0.14\", expect_size=\"35233792\"] \n  17 -> 25 [size =\"35233792\"]\n  17 -> 32 [size =\"35233792\"]\n  18 [size=\"79360000\", alpha=\"0.10\", expect_size=\"31744000\"] \n  18 -> 24 [size =\"31744000\"]\n  18 -> 25 [size =\"31744000\"]\n  18 -> 28 [size =\"31744000\"]\n  18 -> 29 [size =\"31744000\"]\n  18 -> 31 [size =\"31744000\"]\n  18 -> 32 [size =\"31744000\"]\n  18 -> 33 [size =\"31744000\"]\n  19 [size=\"45030400\", alpha=\"0.13\", expect_size=\"18012160\"] \n  19 -> 27 [size =\"18012160\"]\n  19 -> 32 [size =\"18012160\"]\n  19 -> 35 [size =\"18012160\"]\n  20 [size=\"114936320\", alpha=\"0.09\", expect_size=\"45974528\"] \n  20 -> 31 [size =\"45974528\"]\n  20 -> 32 [size =\"45974528\"]\n  20 -> 35 [size =\"45974528\"]\n  21 [size=\"79439360\", alpha=\"0.10\", expect_size=\"31775744\"] \n  21 -> 27 [size =\"31775744\"]\n  21 -> 28 [size =\"31775744\"]\n  21 -> 29 [size =\"31775744\"]\n  21 -> 31 [size =\"31775744\"]\n  21 -> 32 [size =\"31775744\"]\n  21 -> 33 [size =\"31775744\"]\n  22 [size=\"123179520\", alpha=\"0.19\", expect_size=\"49271808\"] \n  22 -> 26 [size =\"49271808\"]\n  22 -> 30 [size =\"49271808\"]\n  22 -> 34 [size =\"49271808\"]\n  23 [size=\"69550080\", alpha=\"0.18\", expect_size=\"27820032\"] \n  23 -> 24 [size =\"27820032\"]\n  23 -> 25 [size =\"27820032\"]\n  23 -> 33 [size =\"27820032\"]\n  23 -> 35 [size =\"27820032\"]\n  24 [size=\"92846080\", alpha=\"0.00\", expect_size=\"37138432\"] \n  25 [size=\"106119680\", alpha=\"0.07\", expect_size=\"42447872\"] \n  26 [size=\"36472320\", alpha=\"0.09\", expect_size=\"14588928\"] \n  27 [size=\"64069120\", alpha=\"0.12\", expect_size=\"25627648\"] \n  28 [size=\"27376640\", alpha=\"0.16\", expect_size=\"10950656\"] \n  29 [size=\"84495360\", alpha=\"0.11\", expect_size=\"33798144\"] \n  30 [size=\"45473280\", alpha=\"0.10\", expect_size=\"18189312\"] \n  31 [size=\"100797440\", alpha=\"0.05\", expect_size=\"40318976\"] \n  32 [size=\"39321600\", alpha=\"0.01\", expect_size=\"15728640\"] \n  33 [size=\"35888640\", alpha=\"0.19\", expect_size=\"14355456\"] \n  34 [size=\"26703360\", alpha=\"0.14\", expect_size=\"10681344\"] \n  35 [size=\"29237760\", alpha=\"0.07\", expect_size=\"11695104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27996160\", alpha=\"0.07\", expect_size=\"11198464\"] \n  1 -> 2 [size =\"11198464\"]\n  1 -> 3 [size =\"11198464\"]\n  2 [size=\"97794560\", alpha=\"0.14\", expect_size=\"39117824\"] \n  2 -> 4 [size =\"39117824\"]\n  2 -> 5 [size =\"39117824\"]\n  3 [size=\"89832960\", alpha=\"0.01\", expect_size=\"35933184\"] \n  4 [size=\"94517760\", alpha=\"0.05\", expect_size=\"37807104\"] \n  5 [size=\"125724160\", alpha=\"0.08\", expect_size=\"50289664\"] \n  5 -> 6 [size =\"50289664\"]\n  6 [size=\"27932160\", alpha=\"0.17\", expect_size=\"11172864\"] \n  6 -> 7 [size =\"11172864\"]\n  7 [size=\"30110720\", alpha=\"0.19\", expect_size=\"12044288\"] \n  7 -> 8 [size =\"12044288\"]\n  8 [size=\"107993600\", alpha=\"0.13\", expect_size=\"43197440\"] \n  8 -> 9 [size =\"43197440\"]\n  9 [size=\"125434880\", alpha=\"0.06\", expect_size=\"50173952\"] \n  9 -> 10 [size =\"50173952\"]\n  10 [size=\"49986560\", alpha=\"0.05\", expect_size=\"19994624\"] \n  10 -> 11 [size =\"19994624\"]\n  10 -> 12 [size =\"19994624\"]\n  11 [size=\"20894720\", alpha=\"0.15\", expect_size=\"8357888\"] \n  11 -> 13 [size =\"8357888\"]\n  12 [size=\"64460800\", alpha=\"0.13\", expect_size=\"25784320\"] \n  12 -> 13 [size =\"25784320\"]\n  13 [size=\"29107200\", alpha=\"0.06\", expect_size=\"11642880\"] \n  13 -> 14 [size =\"11642880\"]\n  14 [size=\"34997760\", alpha=\"0.02\", expect_size=\"13999104\"] \n  14 -> 15 [size =\"13999104\"]\n  14 -> 16 [size =\"13999104\"]\n  15 [size=\"64865280\", alpha=\"0.11\", expect_size=\"25946112\"] \n  16 [size=\"109749760\", alpha=\"0.13\", expect_size=\"43899904\"] \n  16 -> 17 [size =\"43899904\"]\n  17 [size=\"89651200\", alpha=\"0.15\", expect_size=\"35860480\"] \n  17 -> 18 [size =\"35860480\"]\n  18 [size=\"84577280\", alpha=\"0.00\", expect_size=\"33830912\"] \n  18 -> 19 [size =\"33830912\"]\n  18 -> 20 [size =\"33830912\"]\n  19 [size=\"43215360\", alpha=\"0.10\", expect_size=\"17286144\"] \n  20 [size=\"79815680\", alpha=\"0.03\", expect_size=\"31926272\"] \n  20 -> 21 [size =\"31926272\"]\n  21 [size=\"109286400\", alpha=\"0.19\", expect_size=\"43714560\"] \n  21 -> 22 [size =\"43714560\"]\n  21 -> 23 [size =\"43714560\"]\n  22 [size=\"81689600\", alpha=\"0.09\", expect_size=\"32675840\"] \n  22 -> 24 [size =\"32675840\"]\n  23 [size=\"39467520\", alpha=\"0.12\", expect_size=\"15787008\"] \n  24 [size=\"74864640\", alpha=\"0.09\", expect_size=\"29945856\"] \n  24 -> 25 [size =\"29945856\"]\n  24 -> 26 [size =\"29945856\"]\n  25 [size=\"84433920\", alpha=\"0.05\", expect_size=\"33773568\"] \n  26 [size=\"34160640\", alpha=\"0.03\", expect_size=\"13664256\"] \n  26 -> 27 [size =\"13664256\"]\n  27 [size=\"111992320\", alpha=\"0.04\", expect_size=\"44796928\"] \n  27 -> 28 [size =\"44796928\"]\n  28 [size=\"80954880\", alpha=\"0.02\", expect_size=\"32381952\"] \n  28 -> 29 [size =\"32381952\"]\n  28 -> 30 [size =\"32381952\"]\n  29 [size=\"83745280\", alpha=\"0.18\", expect_size=\"33498112\"] \n  29 -> 31 [size =\"33498112\"]\n  30 [size=\"26278400\", alpha=\"0.01\", expect_size=\"10511360\"] \n  31 [size=\"46115840\", alpha=\"0.05\", expect_size=\"18446336\"] \n  31 -> 32 [size =\"18446336\"]\n  32 [size=\"40186880\", alpha=\"0.18\", expect_size=\"16074752\"] \n  32 -> 33 [size =\"16074752\"]\n  32 -> 34 [size =\"16074752\"]\n  33 [size=\"93173760\", alpha=\"0.13\", expect_size=\"37269504\"] \n  33 -> 35 [size =\"37269504\"]\n  34 [size=\"45880320\", alpha=\"0.12\", expect_size=\"18352128\"] \n  34 -> 35 [size =\"18352128\"]\n  35 [size=\"97676800\", alpha=\"0.20\", expect_size=\"39070720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52056747\", alpha=\"0.08\", expect_size=\"15617024\"] \n  1 -> 2 [size =\"15617024\"]\n  2 [size=\"27583147\", alpha=\"0.03\", expect_size=\"8274944\"] \n  2 -> 3 [size =\"8274944\"]\n  2 -> 4 [size =\"8274944\"]\n  3 [size=\"35491840\", alpha=\"0.00\", expect_size=\"10647552\"] \n  3 -> 5 [size =\"10647552\"]\n  4 [size=\"34392747\", alpha=\"0.02\", expect_size=\"10317824\"] \n  4 -> 6 [size =\"10317824\"]\n  5 [size=\"101911893\", alpha=\"0.18\", expect_size=\"30573568\"] \n  5 -> 8 [size =\"30573568\"]\n  6 [size=\"149353813\", alpha=\"0.07\", expect_size=\"44806144\"] \n  6 -> 7 [size =\"44806144\"]\n  7 [size=\"32631467\", alpha=\"0.16\", expect_size=\"9789440\"] \n  7 -> 9 [size =\"9789440\"]\n  8 [size=\"41168213\", alpha=\"0.01\", expect_size=\"12350464\"] \n  9 [size=\"55043413\", alpha=\"0.18\", expect_size=\"16513024\"] \n  9 -> 10 [size =\"16513024\"]\n  10 [size=\"99225600\", alpha=\"0.17\", expect_size=\"29767680\"] \n  10 -> 11 [size =\"29767680\"]\n  11 [size=\"164147200\", alpha=\"0.08\", expect_size=\"49244160\"] \n  11 -> 12 [size =\"49244160\"]\n  11 -> 13 [size =\"49244160\"]\n  12 [size=\"73570987\", alpha=\"0.05\", expect_size=\"22071296\"] \n  13 [size=\"93747200\", alpha=\"0.07\", expect_size=\"28124160\"] \n  13 -> 14 [size =\"28124160\"]\n  14 [size=\"96791893\", alpha=\"0.08\", expect_size=\"29037568\"] \n  14 -> 15 [size =\"29037568\"]\n  14 -> 16 [size =\"29037568\"]\n  15 [size=\"110701227\", alpha=\"0.16\", expect_size=\"33210368\"] \n  15 -> 17 [size =\"33210368\"]\n  16 [size=\"97515520\", alpha=\"0.17\", expect_size=\"29254656\"] \n  17 [size=\"150824960\", alpha=\"0.11\", expect_size=\"45247488\"] \n  17 -> 18 [size =\"45247488\"]\n  18 [size=\"122501120\", alpha=\"0.16\", expect_size=\"36750336\"] \n  18 -> 19 [size =\"36750336\"]\n  18 -> 20 [size =\"36750336\"]\n  19 [size=\"132816213\", alpha=\"0.10\", expect_size=\"39844864\"] \n  20 [size=\"120429227\", alpha=\"0.20\", expect_size=\"36128768\"] \n  20 -> 21 [size =\"36128768\"]\n  21 [size=\"95143253\", alpha=\"0.14\", expect_size=\"28542976\"] \n  21 -> 22 [size =\"28542976\"]\n  22 [size=\"157402453\", alpha=\"0.09\", expect_size=\"47220736\"] \n  22 -> 23 [size =\"47220736\"]\n  22 -> 24 [size =\"47220736\"]\n  23 [size=\"40017920\", alpha=\"0.06\", expect_size=\"12005376\"] \n  24 [size=\"98501973\", alpha=\"0.06\", expect_size=\"29550592\"] \n  24 -> 25 [size =\"29550592\"]\n  25 [size=\"161355093\", alpha=\"0.16\", expect_size=\"48406528\"] \n  25 -> 26 [size =\"48406528\"]\n  26 [size=\"127412907\", alpha=\"0.04\", expect_size=\"38223872\"] \n  26 -> 27 [size =\"38223872\"]\n  27 [size=\"105615360\", alpha=\"0.13\", expect_size=\"31684608\"] \n  27 -> 28 [size =\"31684608\"]\n  27 -> 29 [size =\"31684608\"]\n  28 [size=\"37017600\", alpha=\"0.05\", expect_size=\"11105280\"] \n  29 [size=\"161867093\", alpha=\"0.02\", expect_size=\"48560128\"] \n  29 -> 30 [size =\"48560128\"]\n  30 [size=\"83254613\", alpha=\"0.09\", expect_size=\"24976384\"] \n  30 -> 31 [size =\"24976384\"]\n  30 -> 32 [size =\"24976384\"]\n  31 [size=\"79936853\", alpha=\"0.15\", expect_size=\"23981056\"] \n  32 [size=\"29207893\", alpha=\"0.08\", expect_size=\"8762368\"] \n  32 -> 33 [size =\"8762368\"]\n  32 -> 34 [size =\"8762368\"]\n  33 [size=\"98467840\", alpha=\"0.11\", expect_size=\"29540352\"] \n  33 -> 35 [size =\"29540352\"]\n  34 [size=\"148449280\", alpha=\"0.04\", expect_size=\"44534784\"] \n  35 [size=\"38778880\", alpha=\"0.09\", expect_size=\"11633664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72263680\", alpha=\"0.16\", expect_size=\"21679104\"] \n  1 -> 2 [size =\"21679104\"]\n  2 [size=\"63798613\", alpha=\"0.15\", expect_size=\"19139584\"] \n  2 -> 3 [size =\"19139584\"]\n  3 [size=\"18281813\", alpha=\"0.16\", expect_size=\"5484544\"] \n  3 -> 4 [size =\"5484544\"]\n  4 [size=\"54067200\", alpha=\"0.06\", expect_size=\"16220160\"] \n  4 -> 5 [size =\"16220160\"]\n  5 [size=\"115244373\", alpha=\"0.05\", expect_size=\"34573312\"] \n  5 -> 6 [size =\"34573312\"]\n  6 [size=\"162112853\", alpha=\"0.13\", expect_size=\"48633856\"] \n  6 -> 7 [size =\"48633856\"]\n  7 [size=\"111001600\", alpha=\"0.10\", expect_size=\"33300480\"] \n  7 -> 8 [size =\"33300480\"]\n  8 [size=\"59856213\", alpha=\"0.17\", expect_size=\"17956864\"] \n  8 -> 9 [size =\"17956864\"]\n  9 [size=\"98344960\", alpha=\"0.04\", expect_size=\"29503488\"] \n  9 -> 10 [size =\"29503488\"]\n  10 [size=\"99997013\", alpha=\"0.01\", expect_size=\"29999104\"] \n  10 -> 11 [size =\"29999104\"]\n  11 [size=\"122378240\", alpha=\"0.18\", expect_size=\"36713472\"] \n  11 -> 12 [size =\"36713472\"]\n  12 [size=\"89647787\", alpha=\"0.14\", expect_size=\"26894336\"] \n  12 -> 13 [size =\"26894336\"]\n  13 [size=\"52043093\", alpha=\"0.05\", expect_size=\"15612928\"] \n  13 -> 14 [size =\"15612928\"]\n  14 [size=\"23599787\", alpha=\"0.15\", expect_size=\"7079936\"] \n  14 -> 15 [size =\"7079936\"]\n  15 [size=\"69232640\", alpha=\"0.01\", expect_size=\"20769792\"] \n  15 -> 16 [size =\"20769792\"]\n  16 [size=\"110431573\", alpha=\"0.07\", expect_size=\"33129472\"] \n  16 -> 17 [size =\"33129472\"]\n  17 [size=\"55098027\", alpha=\"0.15\", expect_size=\"16529408\"] \n  17 -> 18 [size =\"16529408\"]\n  18 [size=\"136376320\", alpha=\"0.14\", expect_size=\"40912896\"] \n  18 -> 19 [size =\"40912896\"]\n  19 [size=\"109346133\", alpha=\"0.12\", expect_size=\"32803840\"] \n  19 -> 20 [size =\"32803840\"]\n  20 [size=\"138356053\", alpha=\"0.12\", expect_size=\"41506816\"] \n  20 -> 21 [size =\"41506816\"]\n  21 [size=\"144121173\", alpha=\"0.18\", expect_size=\"43236352\"] \n  21 -> 22 [size =\"43236352\"]\n  22 [size=\"128273067\", alpha=\"0.10\", expect_size=\"38481920\"] \n  22 -> 23 [size =\"38481920\"]\n  23 [size=\"81111040\", alpha=\"0.03\", expect_size=\"24333312\"] \n  23 -> 24 [size =\"24333312\"]\n  24 [size=\"120012800\", alpha=\"0.00\", expect_size=\"36003840\"] \n  24 -> 25 [size =\"36003840\"]\n  25 [size=\"82012160\", alpha=\"0.10\", expect_size=\"24603648\"] \n  25 -> 26 [size =\"24603648\"]\n  26 [size=\"88828587\", alpha=\"0.18\", expect_size=\"26648576\"] \n  26 -> 27 [size =\"26648576\"]\n  27 [size=\"140485973\", alpha=\"0.17\", expect_size=\"42145792\"] \n  27 -> 28 [size =\"42145792\"]\n  28 [size=\"104843947\", alpha=\"0.03\", expect_size=\"31453184\"] \n  28 -> 29 [size =\"31453184\"]\n  29 [size=\"56726187\", alpha=\"0.18\", expect_size=\"17017856\"] \n  29 -> 30 [size =\"17017856\"]\n  30 [size=\"151057067\", alpha=\"0.04\", expect_size=\"45317120\"] \n  30 -> 31 [size =\"45317120\"]\n  31 [size=\"84442453\", alpha=\"0.04\", expect_size=\"25332736\"] \n  31 -> 32 [size =\"25332736\"]\n  32 [size=\"68952747\", alpha=\"0.12\", expect_size=\"20685824\"] \n  32 -> 33 [size =\"20685824\"]\n  33 [size=\"150920533\", alpha=\"0.05\", expect_size=\"45276160\"] \n  33 -> 34 [size =\"45276160\"]\n  34 [size=\"173858133\", alpha=\"0.19\", expect_size=\"52157440\"] \n  34 -> 35 [size =\"52157440\"]\n  35 [size=\"174359893\", alpha=\"0.19\", expect_size=\"52307968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104714240\", alpha=\"0.19\", expect_size=\"41885696\"] \n  1 -> 16 [size =\"41885696\"]\n  1 -> 18 [size =\"41885696\"]\n  1 -> 20 [size =\"41885696\"]\n  1 -> 23 [size =\"41885696\"]\n  1 -> 24 [size =\"41885696\"]\n  1 -> 26 [size =\"41885696\"]\n  2 [size=\"57592320\", alpha=\"0.01\", expect_size=\"23036928\"] \n  2 -> 14 [size =\"23036928\"]\n  2 -> 16 [size =\"23036928\"]\n  2 -> 18 [size =\"23036928\"]\n  2 -> 21 [size =\"23036928\"]\n  2 -> 23 [size =\"23036928\"]\n  3 [size=\"30195200\", alpha=\"0.12\", expect_size=\"12078080\"] \n  3 -> 14 [size =\"12078080\"]\n  3 -> 16 [size =\"12078080\"]\n  3 -> 23 [size =\"12078080\"]\n  3 -> 26 [size =\"12078080\"]\n  4 [size=\"115568640\", alpha=\"0.09\", expect_size=\"46227456\"] \n  4 -> 12 [size =\"46227456\"]\n  4 -> 14 [size =\"46227456\"]\n  4 -> 27 [size =\"46227456\"]\n  5 [size=\"60218880\", alpha=\"0.16\", expect_size=\"24087552\"] \n  5 -> 14 [size =\"24087552\"]\n  5 -> 19 [size =\"24087552\"]\n  5 -> 21 [size =\"24087552\"]\n  5 -> 26 [size =\"24087552\"]\n  5 -> 27 [size =\"24087552\"]\n  6 [size=\"56655360\", alpha=\"0.03\", expect_size=\"22662144\"] \n  6 -> 13 [size =\"22662144\"]\n  6 -> 17 [size =\"22662144\"]\n  6 -> 20 [size =\"22662144\"]\n  6 -> 21 [size =\"22662144\"]\n  6 -> 25 [size =\"22662144\"]\n  7 [size=\"72985600\", alpha=\"0.08\", expect_size=\"29194240\"] \n  7 -> 17 [size =\"29194240\"]\n  7 -> 26 [size =\"29194240\"]\n  7 -> 27 [size =\"29194240\"]\n  8 [size=\"53560320\", alpha=\"0.08\", expect_size=\"21424128\"] \n  8 -> 13 [size =\"21424128\"]\n  8 -> 16 [size =\"21424128\"]\n  8 -> 21 [size =\"21424128\"]\n  8 -> 22 [size =\"21424128\"]\n  8 -> 27 [size =\"21424128\"]\n  9 [size=\"98071040\", alpha=\"0.13\", expect_size=\"39228416\"] \n  9 -> 17 [size =\"39228416\"]\n  9 -> 20 [size =\"39228416\"]\n  9 -> 24 [size =\"39228416\"]\n  9 -> 26 [size =\"39228416\"]\n  9 -> 27 [size =\"39228416\"]\n  10 [size=\"84971520\", alpha=\"0.11\", expect_size=\"33988608\"] \n  10 -> 15 [size =\"33988608\"]\n  11 [size=\"38343680\", alpha=\"0.14\", expect_size=\"15337472\"] \n  11 -> 18 [size =\"15337472\"]\n  11 -> 19 [size =\"15337472\"]\n  11 -> 20 [size =\"15337472\"]\n  11 -> 22 [size =\"15337472\"]\n  11 -> 27 [size =\"15337472\"]\n  12 [size=\"33159680\", alpha=\"0.15\", expect_size=\"13263872\"] \n  12 -> 32 [size =\"13263872\"]\n  12 -> 35 [size =\"13263872\"]\n  13 [size=\"39534080\", alpha=\"0.19\", expect_size=\"15813632\"] \n  13 -> 32 [size =\"15813632\"]\n  13 -> 33 [size =\"15813632\"]\n  14 [size=\"107430400\", alpha=\"0.06\", expect_size=\"42972160\"] \n  14 -> 28 [size =\"42972160\"]\n  14 -> 31 [size =\"42972160\"]\n  14 -> 32 [size =\"42972160\"]\n  14 -> 33 [size =\"42972160\"]\n  15 [size=\"42974720\", alpha=\"0.11\", expect_size=\"17189888\"] \n  15 -> 29 [size =\"17189888\"]\n  15 -> 33 [size =\"17189888\"]\n  15 -> 35 [size =\"17189888\"]\n  16 [size=\"20569600\", alpha=\"0.14\", expect_size=\"8227840\"] \n  16 -> 30 [size =\"8227840\"]\n  16 -> 33 [size =\"8227840\"]\n  17 [size=\"38717440\", alpha=\"0.06\", expect_size=\"15486976\"] \n  17 -> 28 [size =\"15486976\"]\n  17 -> 31 [size =\"15486976\"]\n  18 [size=\"87416320\", alpha=\"0.09\", expect_size=\"34966528\"] \n  18 -> 29 [size =\"34966528\"]\n  19 [size=\"17576960\", alpha=\"0.18\", expect_size=\"7030784\"] \n  20 [size=\"91632640\", alpha=\"0.16\", expect_size=\"36653056\"] \n  20 -> 28 [size =\"36653056\"]\n  21 [size=\"37726720\", alpha=\"0.11\", expect_size=\"15090688\"] \n  22 [size=\"119357440\", alpha=\"0.12\", expect_size=\"47742976\"] \n  22 -> 31 [size =\"47742976\"]\n  23 [size=\"87820800\", alpha=\"0.17\", expect_size=\"35128320\"] \n  23 -> 28 [size =\"35128320\"]\n  23 -> 29 [size =\"35128320\"]\n  23 -> 33 [size =\"35128320\"]\n  23 -> 34 [size =\"35128320\"]\n  24 [size=\"84008960\", alpha=\"0.19\", expect_size=\"33603584\"] \n  24 -> 29 [size =\"33603584\"]\n  24 -> 33 [size =\"33603584\"]\n  24 -> 35 [size =\"33603584\"]\n  25 [size=\"120040960\", alpha=\"0.09\", expect_size=\"48016384\"] \n  25 -> 28 [size =\"48016384\"]\n  25 -> 34 [size =\"48016384\"]\n  26 [size=\"68820480\", alpha=\"0.07\", expect_size=\"27528192\"] \n  26 -> 33 [size =\"27528192\"]\n  27 [size=\"33139200\", alpha=\"0.14\", expect_size=\"13255680\"] \n  27 -> 29 [size =\"13255680\"]\n  27 -> 33 [size =\"13255680\"]\n  27 -> 35 [size =\"13255680\"]\n  28 [size=\"67407360\", alpha=\"0.08\", expect_size=\"26962944\"] \n  29 [size=\"119185920\", alpha=\"0.17\", expect_size=\"47674368\"] \n  30 [size=\"105850880\", alpha=\"0.18\", expect_size=\"42340352\"] \n  31 [size=\"84779520\", alpha=\"0.04\", expect_size=\"33911808\"] \n  32 [size=\"29614080\", alpha=\"0.12\", expect_size=\"11845632\"] \n  33 [size=\"102807040\", alpha=\"0.05\", expect_size=\"41122816\"] \n  34 [size=\"85516800\", alpha=\"0.15\", expect_size=\"34206720\"] \n  35 [size=\"80209920\", alpha=\"0.09\", expect_size=\"32083968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128559787\", alpha=\"0.00\", expect_size=\"38567936\"] \n  1 -> 25 [size =\"38567936\"]\n  1 -> 26 [size =\"38567936\"]\n  1 -> 29 [size =\"38567936\"]\n  1 -> 34 [size =\"38567936\"]\n  1 -> 35 [size =\"38567936\"]\n  2 [size=\"157982720\", alpha=\"0.13\", expect_size=\"47394816\"] \n  2 -> 25 [size =\"47394816\"]\n  2 -> 29 [size =\"47394816\"]\n  2 -> 34 [size =\"47394816\"]\n  2 -> 34 [size =\"47394816\"]\n  3 [size=\"121282560\", alpha=\"0.15\", expect_size=\"36384768\"] \n  3 -> 25 [size =\"36384768\"]\n  3 -> 26 [size =\"36384768\"]\n  3 -> 30 [size =\"36384768\"]\n  4 [size=\"79370240\", alpha=\"0.09\", expect_size=\"23811072\"] \n  4 -> 26 [size =\"23811072\"]\n  4 -> 32 [size =\"23811072\"]\n  4 -> 33 [size =\"23811072\"]\n  5 [size=\"85118293\", alpha=\"0.02\", expect_size=\"25535488\"] \n  5 -> 30 [size =\"25535488\"]\n  5 -> 32 [size =\"25535488\"]\n  5 -> 33 [size =\"25535488\"]\n  5 -> 35 [size =\"25535488\"]\n  6 [size=\"69498880\", alpha=\"0.09\", expect_size=\"20849664\"] \n  6 -> 26 [size =\"20849664\"]\n  6 -> 32 [size =\"20849664\"]\n  6 -> 33 [size =\"20849664\"]\n  7 [size=\"62999893\", alpha=\"0.10\", expect_size=\"18899968\"] \n  7 -> 25 [size =\"18899968\"]\n  7 -> 26 [size =\"18899968\"]\n  7 -> 32 [size =\"18899968\"]\n  7 -> 33 [size =\"18899968\"]\n  8 [size=\"118831787\", alpha=\"0.02\", expect_size=\"35649536\"] \n  8 -> 25 [size =\"35649536\"]\n  8 -> 30 [size =\"35649536\"]\n  8 -> 32 [size =\"35649536\"]\n  8 -> 33 [size =\"35649536\"]\n  8 -> 34 [size =\"35649536\"]\n  9 [size=\"145667413\", alpha=\"0.02\", expect_size=\"43700224\"] \n  9 -> 26 [size =\"43700224\"]\n  9 -> 27 [size =\"43700224\"]\n  9 -> 32 [size =\"43700224\"]\n  9 -> 33 [size =\"43700224\"]\n  9 -> 34 [size =\"43700224\"]\n  9 -> 35 [size =\"43700224\"]\n  10 [size=\"55347200\", alpha=\"0.16\", expect_size=\"16604160\"] \n  10 -> 25 [size =\"16604160\"]\n  10 -> 26 [size =\"16604160\"]\n  10 -> 28 [size =\"16604160\"]\n  10 -> 33 [size =\"16604160\"]\n  10 -> 34 [size =\"16604160\"]\n  11 [size=\"92904107\", alpha=\"0.05\", expect_size=\"27871232\"] \n  11 -> 25 [size =\"27871232\"]\n  11 -> 26 [size =\"27871232\"]\n  11 -> 28 [size =\"27871232\"]\n  11 -> 29 [size =\"27871232\"]\n  11 -> 32 [size =\"27871232\"]\n  11 -> 33 [size =\"27871232\"]\n  12 [size=\"95074987\", alpha=\"0.16\", expect_size=\"28522496\"] \n  12 -> 25 [size =\"28522496\"]\n  12 -> 26 [size =\"28522496\"]\n  12 -> 29 [size =\"28522496\"]\n  12 -> 32 [size =\"28522496\"]\n  12 -> 35 [size =\"28522496\"]\n  13 [size=\"36382720\", alpha=\"0.03\", expect_size=\"10914816\"] \n  13 -> 25 [size =\"10914816\"]\n  13 -> 26 [size =\"10914816\"]\n  13 -> 30 [size =\"10914816\"]\n  13 -> 34 [size =\"10914816\"]\n  14 [size=\"154224640\", alpha=\"0.06\", expect_size=\"46267392\"] \n  14 -> 25 [size =\"46267392\"]\n  14 -> 26 [size =\"46267392\"]\n  14 -> 29 [size =\"46267392\"]\n  14 -> 33 [size =\"46267392\"]\n  14 -> 34 [size =\"46267392\"]\n  14 -> 35 [size =\"46267392\"]\n  15 [size=\"65443840\", alpha=\"0.12\", expect_size=\"19633152\"] \n  15 -> 25 [size =\"19633152\"]\n  16 [size=\"83773440\", alpha=\"0.07\", expect_size=\"25132032\"] \n  16 -> 25 [size =\"25132032\"]\n  16 -> 30 [size =\"25132032\"]\n  16 -> 33 [size =\"25132032\"]\n  16 -> 34 [size =\"25132032\"]\n  17 [size=\"154050560\", alpha=\"0.09\", expect_size=\"46215168\"] \n  17 -> 25 [size =\"46215168\"]\n  17 -> 26 [size =\"46215168\"]\n  17 -> 29 [size =\"46215168\"]\n  17 -> 34 [size =\"46215168\"]\n  17 -> 35 [size =\"46215168\"]\n  18 [size=\"73536853\", alpha=\"0.05\", expect_size=\"22061056\"] \n  18 -> 26 [size =\"22061056\"]\n  18 -> 27 [size =\"22061056\"]\n  18 -> 29 [size =\"22061056\"]\n  18 -> 30 [size =\"22061056\"]\n  18 -> 31 [size =\"22061056\"]\n  18 -> 33 [size =\"22061056\"]\n  18 -> 34 [size =\"22061056\"]\n  18 -> 35 [size =\"22061056\"]\n  19 [size=\"88357547\", alpha=\"0.07\", expect_size=\"26507264\"] \n  19 -> 29 [size =\"26507264\"]\n  19 -> 31 [size =\"26507264\"]\n  19 -> 32 [size =\"26507264\"]\n  19 -> 34 [size =\"26507264\"]\n  20 [size=\"106813440\", alpha=\"0.13\", expect_size=\"32044032\"] \n  20 -> 26 [size =\"32044032\"]\n  20 -> 29 [size =\"32044032\"]\n  20 -> 31 [size =\"32044032\"]\n  20 -> 32 [size =\"32044032\"]\n  20 -> 33 [size =\"32044032\"]\n  20 -> 34 [size =\"32044032\"]\n  21 [size=\"78018560\", alpha=\"0.14\", expect_size=\"23405568\"] \n  21 -> 25 [size =\"23405568\"]\n  21 -> 29 [size =\"23405568\"]\n  21 -> 32 [size =\"23405568\"]\n  21 -> 33 [size =\"23405568\"]\n  21 -> 33 [size =\"23405568\"]\n  21 -> 34 [size =\"23405568\"]\n  22 [size=\"114094080\", alpha=\"0.12\", expect_size=\"34228224\"] \n  22 -> 25 [size =\"34228224\"]\n  22 -> 27 [size =\"34228224\"]\n  22 -> 29 [size =\"34228224\"]\n  22 -> 31 [size =\"34228224\"]\n  22 -> 32 [size =\"34228224\"]\n  22 -> 33 [size =\"34228224\"]\n  22 -> 34 [size =\"34228224\"]\n  23 [size=\"86299307\", alpha=\"0.04\", expect_size=\"25889792\"] \n  23 -> 25 [size =\"25889792\"]\n  23 -> 27 [size =\"25889792\"]\n  23 -> 28 [size =\"25889792\"]\n  23 -> 30 [size =\"25889792\"]\n  23 -> 32 [size =\"25889792\"]\n  23 -> 33 [size =\"25889792\"]\n  23 -> 34 [size =\"25889792\"]\n  24 [size=\"106926080\", alpha=\"0.03\", expect_size=\"32077824\"] \n  24 -> 25 [size =\"32077824\"]\n  24 -> 26 [size =\"32077824\"]\n  24 -> 29 [size =\"32077824\"]\n  24 -> 34 [size =\"32077824\"]\n  24 -> 35 [size =\"32077824\"]\n  25 [size=\"153289387\", alpha=\"0.11\", expect_size=\"45986816\"] \n  26 [size=\"91057493\", alpha=\"0.06\", expect_size=\"27317248\"] \n  27 [size=\"145981440\", alpha=\"0.06\", expect_size=\"43794432\"] \n  28 [size=\"59876693\", alpha=\"0.20\", expect_size=\"17963008\"] \n  29 [size=\"97570133\", alpha=\"0.09\", expect_size=\"29271040\"] \n  30 [size=\"149975040\", alpha=\"0.04\", expect_size=\"44992512\"] \n  31 [size=\"95477760\", alpha=\"0.08\", expect_size=\"28643328\"] \n  32 [size=\"45161813\", alpha=\"0.02\", expect_size=\"13548544\"] \n  33 [size=\"139543893\", alpha=\"0.18\", expect_size=\"41863168\"] \n  34 [size=\"167850667\", alpha=\"0.12\", expect_size=\"50355200\"] \n  35 [size=\"34696533\", alpha=\"0.12\", expect_size=\"10408960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87128064\", alpha=\"0.08\", expect_size=\"43564032\"] \n  1 -> 23 [size =\"43564032\"]\n  1 -> 24 [size =\"43564032\"]\n  1 -> 26 [size =\"43564032\"]\n  1 -> 29 [size =\"43564032\"]\n  1 -> 32 [size =\"43564032\"]\n  1 -> 34 [size =\"43564032\"]\n  2 [size=\"42145792\", alpha=\"0.04\", expect_size=\"21072896\"] \n  2 -> 24 [size =\"21072896\"]\n  2 -> 25 [size =\"21072896\"]\n  2 -> 27 [size =\"21072896\"]\n  2 -> 32 [size =\"21072896\"]\n  2 -> 32 [size =\"21072896\"]\n  2 -> 33 [size =\"21072896\"]\n  2 -> 34 [size =\"21072896\"]\n  3 [size=\"83283968\", alpha=\"0.05\", expect_size=\"41641984\"] \n  3 -> 23 [size =\"41641984\"]\n  3 -> 25 [size =\"41641984\"]\n  3 -> 28 [size =\"41641984\"]\n  3 -> 33 [size =\"41641984\"]\n  4 [size=\"31019008\", alpha=\"0.01\", expect_size=\"15509504\"] \n  4 -> 23 [size =\"15509504\"]\n  4 -> 25 [size =\"15509504\"]\n  4 -> 27 [size =\"15509504\"]\n  4 -> 32 [size =\"15509504\"]\n  5 [size=\"96677888\", alpha=\"0.20\", expect_size=\"48338944\"] \n  5 -> 25 [size =\"48338944\"]\n  5 -> 25 [size =\"48338944\"]\n  5 -> 27 [size =\"48338944\"]\n  5 -> 30 [size =\"48338944\"]\n  5 -> 33 [size =\"48338944\"]\n  5 -> 34 [size =\"48338944\"]\n  5 -> 35 [size =\"48338944\"]\n  6 [size=\"44371968\", alpha=\"0.05\", expect_size=\"22185984\"] \n  6 -> 23 [size =\"22185984\"]\n  6 -> 25 [size =\"22185984\"]\n  6 -> 26 [size =\"22185984\"]\n  6 -> 27 [size =\"22185984\"]\n  6 -> 32 [size =\"22185984\"]\n  7 [size=\"51400704\", alpha=\"0.08\", expect_size=\"25700352\"] \n  7 -> 23 [size =\"25700352\"]\n  7 -> 25 [size =\"25700352\"]\n  7 -> 26 [size =\"25700352\"]\n  7 -> 27 [size =\"25700352\"]\n  7 -> 28 [size =\"25700352\"]\n  7 -> 32 [size =\"25700352\"]\n  8 [size=\"94054400\", alpha=\"0.11\", expect_size=\"47027200\"] \n  8 -> 23 [size =\"47027200\"]\n  8 -> 25 [size =\"47027200\"]\n  8 -> 26 [size =\"47027200\"]\n  8 -> 27 [size =\"47027200\"]\n  8 -> 28 [size =\"47027200\"]\n  8 -> 29 [size =\"47027200\"]\n  8 -> 32 [size =\"47027200\"]\n  9 [size=\"32458752\", alpha=\"0.06\", expect_size=\"16229376\"] \n  9 -> 23 [size =\"16229376\"]\n  9 -> 25 [size =\"16229376\"]\n  9 -> 26 [size =\"16229376\"]\n  9 -> 27 [size =\"16229376\"]\n  9 -> 32 [size =\"16229376\"]\n  10 [size=\"92209152\", alpha=\"0.14\", expect_size=\"46104576\"] \n  10 -> 23 [size =\"46104576\"]\n  10 -> 27 [size =\"46104576\"]\n  10 -> 28 [size =\"46104576\"]\n  10 -> 32 [size =\"46104576\"]\n  10 -> 32 [size =\"46104576\"]\n  10 -> 34 [size =\"46104576\"]\n  11 [size=\"51064832\", alpha=\"0.05\", expect_size=\"25532416\"] \n  11 -> 23 [size =\"25532416\"]\n  11 -> 25 [size =\"25532416\"]\n  11 -> 26 [size =\"25532416\"]\n  11 -> 27 [size =\"25532416\"]\n  11 -> 28 [size =\"25532416\"]\n  11 -> 29 [size =\"25532416\"]\n  11 -> 32 [size =\"25532416\"]\n  11 -> 34 [size =\"25532416\"]\n  12 [size=\"87003136\", alpha=\"0.02\", expect_size=\"43501568\"] \n  12 -> 23 [size =\"43501568\"]\n  12 -> 25 [size =\"43501568\"]\n  12 -> 26 [size =\"43501568\"]\n  12 -> 27 [size =\"43501568\"]\n  12 -> 28 [size =\"43501568\"]\n  12 -> 30 [size =\"43501568\"]\n  12 -> 31 [size =\"43501568\"]\n  12 -> 32 [size =\"43501568\"]\n  12 -> 34 [size =\"43501568\"]\n  13 [size=\"12986368\", alpha=\"0.01\", expect_size=\"6493184\"] \n  13 -> 23 [size =\"6493184\"]\n  13 -> 24 [size =\"6493184\"]\n  13 -> 25 [size =\"6493184\"]\n  13 -> 31 [size =\"6493184\"]\n  13 -> 32 [size =\"6493184\"]\n  13 -> 34 [size =\"6493184\"]\n  14 [size=\"38166528\", alpha=\"0.01\", expect_size=\"19083264\"] \n  14 -> 23 [size =\"19083264\"]\n  14 -> 25 [size =\"19083264\"]\n  14 -> 25 [size =\"19083264\"]\n  14 -> 27 [size =\"19083264\"]\n  14 -> 28 [size =\"19083264\"]\n  14 -> 29 [size =\"19083264\"]\n  14 -> 31 [size =\"19083264\"]\n  14 -> 32 [size =\"19083264\"]\n  14 -> 34 [size =\"19083264\"]\n  15 [size=\"41721856\", alpha=\"0.05\", expect_size=\"20860928\"] \n  15 -> 23 [size =\"20860928\"]\n  15 -> 25 [size =\"20860928\"]\n  15 -> 26 [size =\"20860928\"]\n  15 -> 27 [size =\"20860928\"]\n  15 -> 32 [size =\"20860928\"]\n  15 -> 33 [size =\"20860928\"]\n  15 -> 34 [size =\"20860928\"]\n  15 -> 35 [size =\"20860928\"]\n  16 [size=\"39671808\", alpha=\"0.08\", expect_size=\"19835904\"] \n  16 -> 23 [size =\"19835904\"]\n  16 -> 25 [size =\"19835904\"]\n  16 -> 26 [size =\"19835904\"]\n  16 -> 27 [size =\"19835904\"]\n  16 -> 32 [size =\"19835904\"]\n  16 -> 33 [size =\"19835904\"]\n  16 -> 34 [size =\"19835904\"]\n  17 [size=\"65060864\", alpha=\"0.12\", expect_size=\"32530432\"] \n  17 -> 23 [size =\"32530432\"]\n  17 -> 27 [size =\"32530432\"]\n  17 -> 32 [size =\"32530432\"]\n  17 -> 33 [size =\"32530432\"]\n  17 -> 35 [size =\"32530432\"]\n  18 [size=\"102090752\", alpha=\"0.17\", expect_size=\"51045376\"] \n  18 -> 23 [size =\"51045376\"]\n  18 -> 26 [size =\"51045376\"]\n  18 -> 27 [size =\"51045376\"]\n  18 -> 32 [size =\"51045376\"]\n  18 -> 34 [size =\"51045376\"]\n  19 [size=\"59781120\", alpha=\"0.07\", expect_size=\"29890560\"] \n  19 -> 23 [size =\"29890560\"]\n  19 -> 24 [size =\"29890560\"]\n  19 -> 25 [size =\"29890560\"]\n  19 -> 27 [size =\"29890560\"]\n  19 -> 32 [size =\"29890560\"]\n  19 -> 34 [size =\"29890560\"]\n  20 [size=\"88240128\", alpha=\"0.18\", expect_size=\"44120064\"] \n  20 -> 23 [size =\"44120064\"]\n  20 -> 26 [size =\"44120064\"]\n  20 -> 28 [size =\"44120064\"]\n  20 -> 29 [size =\"44120064\"]\n  20 -> 33 [size =\"44120064\"]\n  20 -> 34 [size =\"44120064\"]\n  21 [size=\"61663232\", alpha=\"0.06\", expect_size=\"30831616\"] \n  21 -> 23 [size =\"30831616\"]\n  21 -> 24 [size =\"30831616\"]\n  21 -> 25 [size =\"30831616\"]\n  21 -> 27 [size =\"30831616\"]\n  21 -> 32 [size =\"30831616\"]\n  21 -> 34 [size =\"30831616\"]\n  21 -> 35 [size =\"30831616\"]\n  22 [size=\"87304192\", alpha=\"0.20\", expect_size=\"43652096\"] \n  22 -> 23 [size =\"43652096\"]\n  22 -> 25 [size =\"43652096\"]\n  22 -> 27 [size =\"43652096\"]\n  22 -> 27 [size =\"43652096\"]\n  22 -> 33 [size =\"43652096\"]\n  23 [size=\"95662080\", alpha=\"0.09\", expect_size=\"47831040\"] \n  24 [size=\"101986304\", alpha=\"0.03\", expect_size=\"50993152\"] \n  25 [size=\"10903552\", alpha=\"0.15\", expect_size=\"5451776\"] \n  26 [size=\"35979264\", alpha=\"0.15\", expect_size=\"17989632\"] \n  27 [size=\"73689088\", alpha=\"0.03\", expect_size=\"36844544\"] \n  28 [size=\"37316608\", alpha=\"0.08\", expect_size=\"18658304\"] \n  29 [size=\"24549376\", alpha=\"0.19\", expect_size=\"12274688\"] \n  30 [size=\"57931776\", alpha=\"0.06\", expect_size=\"28965888\"] \n  31 [size=\"49553408\", alpha=\"0.03\", expect_size=\"24776704\"] \n  32 [size=\"76058624\", alpha=\"0.15\", expect_size=\"38029312\"] \n  33 [size=\"74737664\", alpha=\"0.08\", expect_size=\"37368832\"] \n  34 [size=\"24014848\", alpha=\"0.07\", expect_size=\"12007424\"] \n  35 [size=\"38797312\", alpha=\"0.13\", expect_size=\"19398656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162269867\", alpha=\"0.05\", expect_size=\"48680960\"] \n  1 -> 32 [size =\"48680960\"]\n  1 -> 33 [size =\"48680960\"]\n  2 [size=\"140315307\", alpha=\"0.16\", expect_size=\"42094592\"] \n  2 -> 28 [size =\"42094592\"]\n  2 -> 31 [size =\"42094592\"]\n  2 -> 32 [size =\"42094592\"]\n  3 [size=\"78356480\", alpha=\"0.16\", expect_size=\"23506944\"] \n  3 -> 32 [size =\"23506944\"]\n  3 -> 33 [size =\"23506944\"]\n  4 [size=\"24879787\", alpha=\"0.13\", expect_size=\"7463936\"] \n  4 -> 26 [size =\"7463936\"]\n  4 -> 30 [size =\"7463936\"]\n  4 -> 33 [size =\"7463936\"]\n  4 -> 34 [size =\"7463936\"]\n  5 [size=\"159573333\", alpha=\"0.07\", expect_size=\"47872000\"] \n  5 -> 26 [size =\"47872000\"]\n  5 -> 31 [size =\"47872000\"]\n  5 -> 32 [size =\"47872000\"]\n  5 -> 33 [size =\"47872000\"]\n  6 [size=\"79742293\", alpha=\"0.12\", expect_size=\"23922688\"] \n  6 -> 27 [size =\"23922688\"]\n  6 -> 32 [size =\"23922688\"]\n  6 -> 33 [size =\"23922688\"]\n  7 [size=\"31341227\", alpha=\"0.16\", expect_size=\"9402368\"] \n  7 -> 30 [size =\"9402368\"]\n  7 -> 32 [size =\"9402368\"]\n  8 [size=\"118067200\", alpha=\"0.00\", expect_size=\"35420160\"] \n  8 -> 29 [size =\"35420160\"]\n  9 [size=\"43632640\", alpha=\"0.20\", expect_size=\"13089792\"] \n  9 -> 29 [size =\"13089792\"]\n  9 -> 32 [size =\"13089792\"]\n  10 [size=\"97706667\", alpha=\"0.13\", expect_size=\"29312000\"] \n  10 -> 30 [size =\"29312000\"]\n  10 -> 32 [size =\"29312000\"]\n  10 -> 35 [size =\"29312000\"]\n  11 [size=\"159522133\", alpha=\"0.17\", expect_size=\"47856640\"] \n  11 -> 29 [size =\"47856640\"]\n  11 -> 35 [size =\"47856640\"]\n  12 [size=\"41895253\", alpha=\"0.17\", expect_size=\"12568576\"] \n  12 -> 26 [size =\"12568576\"]\n  12 -> 29 [size =\"12568576\"]\n  12 -> 33 [size =\"12568576\"]\n  12 -> 34 [size =\"12568576\"]\n  13 [size=\"169216000\", alpha=\"0.10\", expect_size=\"50764800\"] \n  13 -> 26 [size =\"50764800\"]\n  13 -> 29 [size =\"50764800\"]\n  13 -> 34 [size =\"50764800\"]\n  14 [size=\"136188587\", alpha=\"0.16\", expect_size=\"40856576\"] \n  14 -> 26 [size =\"40856576\"]\n  14 -> 31 [size =\"40856576\"]\n  14 -> 32 [size =\"40856576\"]\n  15 [size=\"80527360\", alpha=\"0.19\", expect_size=\"24158208\"] \n  15 -> 26 [size =\"24158208\"]\n  15 -> 27 [size =\"24158208\"]\n  16 [size=\"135116800\", alpha=\"0.19\", expect_size=\"40535040\"] \n  16 -> 29 [size =\"40535040\"]\n  16 -> 30 [size =\"40535040\"]\n  16 -> 31 [size =\"40535040\"]\n  16 -> 33 [size =\"40535040\"]\n  17 [size=\"72069120\", alpha=\"0.06\", expect_size=\"21620736\"] \n  17 -> 26 [size =\"21620736\"]\n  17 -> 27 [size =\"21620736\"]\n  17 -> 29 [size =\"21620736\"]\n  17 -> 30 [size =\"21620736\"]\n  17 -> 31 [size =\"21620736\"]\n  17 -> 32 [size =\"21620736\"]\n  17 -> 33 [size =\"21620736\"]\n  18 [size=\"41465173\", alpha=\"0.10\", expect_size=\"12439552\"] \n  18 -> 26 [size =\"12439552\"]\n  18 -> 27 [size =\"12439552\"]\n  18 -> 28 [size =\"12439552\"]\n  18 -> 33 [size =\"12439552\"]\n  19 [size=\"44427947\", alpha=\"0.18\", expect_size=\"13328384\"] \n  19 -> 26 [size =\"13328384\"]\n  19 -> 32 [size =\"13328384\"]\n  20 [size=\"43885227\", alpha=\"0.14\", expect_size=\"13165568\"] \n  20 -> 26 [size =\"13165568\"]\n  20 -> 28 [size =\"13165568\"]\n  21 [size=\"143237120\", alpha=\"0.09\", expect_size=\"42971136\"] \n  21 -> 26 [size =\"42971136\"]\n  21 -> 29 [size =\"42971136\"]\n  21 -> 32 [size =\"42971136\"]\n  21 -> 34 [size =\"42971136\"]\n  22 [size=\"116046507\", alpha=\"0.19\", expect_size=\"34813952\"] \n  22 -> 26 [size =\"34813952\"]\n  22 -> 27 [size =\"34813952\"]\n  22 -> 33 [size =\"34813952\"]\n  23 [size=\"95337813\", alpha=\"0.17\", expect_size=\"28601344\"] \n  23 -> 29 [size =\"28601344\"]\n  23 -> 30 [size =\"28601344\"]\n  23 -> 32 [size =\"28601344\"]\n  24 [size=\"19688107\", alpha=\"0.16\", expect_size=\"5906432\"] \n  24 -> 26 [size =\"5906432\"]\n  24 -> 27 [size =\"5906432\"]\n  24 -> 30 [size =\"5906432\"]\n  25 [size=\"144424960\", alpha=\"0.12\", expect_size=\"43327488\"] \n  25 -> 26 [size =\"43327488\"]\n  25 -> 27 [size =\"43327488\"]\n  25 -> 30 [size =\"43327488\"]\n  25 -> 32 [size =\"43327488\"]\n  26 [size=\"136188587\", alpha=\"0.17\", expect_size=\"40856576\"] \n  27 [size=\"132034560\", alpha=\"0.04\", expect_size=\"39610368\"] \n  28 [size=\"22586027\", alpha=\"0.03\", expect_size=\"6775808\"] \n  29 [size=\"104738133\", alpha=\"0.06\", expect_size=\"31421440\"] \n  30 [size=\"91101867\", alpha=\"0.18\", expect_size=\"27330560\"] \n  31 [size=\"46513493\", alpha=\"0.09\", expect_size=\"13954048\"] \n  32 [size=\"115759787\", alpha=\"0.03\", expect_size=\"34727936\"] \n  33 [size=\"107117227\", alpha=\"0.17\", expect_size=\"32135168\"] \n  34 [size=\"81462613\", alpha=\"0.05\", expect_size=\"24438784\"] \n  35 [size=\"46206293\", alpha=\"0.02\", expect_size=\"13861888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21647360\", alpha=\"0.02\", expect_size=\"6494208\"] \n  1 -> 22 [size =\"6494208\"]\n  1 -> 24 [size =\"6494208\"]\n  1 -> 26 [size =\"6494208\"]\n  1 -> 27 [size =\"6494208\"]\n  1 -> 28 [size =\"6494208\"]\n  1 -> 31 [size =\"6494208\"]\n  1 -> 32 [size =\"6494208\"]\n  1 -> 35 [size =\"6494208\"]\n  2 [size=\"52616533\", alpha=\"0.18\", expect_size=\"15784960\"] \n  2 -> 22 [size =\"15784960\"]\n  2 -> 24 [size =\"15784960\"]\n  2 -> 25 [size =\"15784960\"]\n  2 -> 26 [size =\"15784960\"]\n  2 -> 27 [size =\"15784960\"]\n  2 -> 31 [size =\"15784960\"]\n  2 -> 35 [size =\"15784960\"]\n  3 [size=\"95969280\", alpha=\"0.06\", expect_size=\"28790784\"] \n  3 -> 21 [size =\"28790784\"]\n  3 -> 22 [size =\"28790784\"]\n  3 -> 25 [size =\"28790784\"]\n  3 -> 26 [size =\"28790784\"]\n  3 -> 27 [size =\"28790784\"]\n  3 -> 28 [size =\"28790784\"]\n  3 -> 31 [size =\"28790784\"]\n  3 -> 35 [size =\"28790784\"]\n  4 [size=\"154651307\", alpha=\"0.15\", expect_size=\"46395392\"] \n  4 -> 24 [size =\"46395392\"]\n  4 -> 25 [size =\"46395392\"]\n  4 -> 25 [size =\"46395392\"]\n  4 -> 27 [size =\"46395392\"]\n  4 -> 28 [size =\"46395392\"]\n  4 -> 31 [size =\"46395392\"]\n  4 -> 35 [size =\"46395392\"]\n  5 [size=\"78547627\", alpha=\"0.14\", expect_size=\"23564288\"] \n  5 -> 25 [size =\"23564288\"]\n  5 -> 25 [size =\"23564288\"]\n  5 -> 26 [size =\"23564288\"]\n  5 -> 28 [size =\"23564288\"]\n  5 -> 30 [size =\"23564288\"]\n  5 -> 32 [size =\"23564288\"]\n  6 [size=\"84572160\", alpha=\"0.19\", expect_size=\"25371648\"] \n  6 -> 22 [size =\"25371648\"]\n  6 -> 25 [size =\"25371648\"]\n  6 -> 26 [size =\"25371648\"]\n  6 -> 27 [size =\"25371648\"]\n  6 -> 30 [size =\"25371648\"]\n  7 [size=\"54558720\", alpha=\"0.04\", expect_size=\"16367616\"] \n  7 -> 22 [size =\"16367616\"]\n  7 -> 25 [size =\"16367616\"]\n  7 -> 26 [size =\"16367616\"]\n  7 -> 30 [size =\"16367616\"]\n  7 -> 32 [size =\"16367616\"]\n  7 -> 34 [size =\"16367616\"]\n  8 [size=\"78124373\", alpha=\"0.20\", expect_size=\"23437312\"] \n  8 -> 22 [size =\"23437312\"]\n  8 -> 23 [size =\"23437312\"]\n  8 -> 24 [size =\"23437312\"]\n  8 -> 25 [size =\"23437312\"]\n  8 -> 27 [size =\"23437312\"]\n  8 -> 30 [size =\"23437312\"]\n  8 -> 34 [size =\"23437312\"]\n  9 [size=\"110407680\", alpha=\"0.14\", expect_size=\"33122304\"] \n  9 -> 23 [size =\"33122304\"]\n  9 -> 25 [size =\"33122304\"]\n  9 -> 28 [size =\"33122304\"]\n  9 -> 30 [size =\"33122304\"]\n  9 -> 31 [size =\"33122304\"]\n  9 -> 32 [size =\"33122304\"]\n  10 [size=\"118821547\", alpha=\"0.01\", expect_size=\"35646464\"] \n  10 -> 22 [size =\"35646464\"]\n  10 -> 25 [size =\"35646464\"]\n  10 -> 27 [size =\"35646464\"]\n  10 -> 28 [size =\"35646464\"]\n  10 -> 32 [size =\"35646464\"]\n  11 [size=\"153610240\", alpha=\"0.08\", expect_size=\"46083072\"] \n  11 -> 22 [size =\"46083072\"]\n  11 -> 23 [size =\"46083072\"]\n  11 -> 24 [size =\"46083072\"]\n  11 -> 27 [size =\"46083072\"]\n  11 -> 28 [size =\"46083072\"]\n  11 -> 30 [size =\"46083072\"]\n  11 -> 31 [size =\"46083072\"]\n  11 -> 33 [size =\"46083072\"]\n  12 [size=\"172916053\", alpha=\"0.03\", expect_size=\"51874816\"] \n  12 -> 22 [size =\"51874816\"]\n  12 -> 23 [size =\"51874816\"]\n  12 -> 24 [size =\"51874816\"]\n  12 -> 25 [size =\"51874816\"]\n  12 -> 27 [size =\"51874816\"]\n  12 -> 28 [size =\"51874816\"]\n  12 -> 29 [size =\"51874816\"]\n  12 -> 31 [size =\"51874816\"]\n  12 -> 32 [size =\"51874816\"]\n  13 [size=\"157620907\", alpha=\"0.20\", expect_size=\"47286272\"] \n  13 -> 21 [size =\"47286272\"]\n  13 -> 25 [size =\"47286272\"]\n  13 -> 27 [size =\"47286272\"]\n  13 -> 31 [size =\"47286272\"]\n  13 -> 32 [size =\"47286272\"]\n  13 -> 35 [size =\"47286272\"]\n  14 [size=\"49558187\", alpha=\"0.01\", expect_size=\"14867456\"] \n  14 -> 21 [size =\"14867456\"]\n  14 -> 27 [size =\"14867456\"]\n  14 -> 28 [size =\"14867456\"]\n  14 -> 31 [size =\"14867456\"]\n  14 -> 35 [size =\"14867456\"]\n  14 -> 35 [size =\"14867456\"]\n  15 [size=\"168246613\", alpha=\"0.13\", expect_size=\"50473984\"] \n  15 -> 26 [size =\"50473984\"]\n  15 -> 27 [size =\"50473984\"]\n  15 -> 30 [size =\"50473984\"]\n  15 -> 31 [size =\"50473984\"]\n  16 [size=\"123637760\", alpha=\"0.11\", expect_size=\"37091328\"] \n  16 -> 22 [size =\"37091328\"]\n  16 -> 23 [size =\"37091328\"]\n  16 -> 26 [size =\"37091328\"]\n  16 -> 27 [size =\"37091328\"]\n  16 -> 30 [size =\"37091328\"]\n  16 -> 31 [size =\"37091328\"]\n  16 -> 32 [size =\"37091328\"]\n  16 -> 35 [size =\"37091328\"]\n  17 [size=\"112674133\", alpha=\"0.20\", expect_size=\"33802240\"] \n  17 -> 22 [size =\"33802240\"]\n  17 -> 25 [size =\"33802240\"]\n  17 -> 26 [size =\"33802240\"]\n  17 -> 27 [size =\"33802240\"]\n  17 -> 28 [size =\"33802240\"]\n  17 -> 30 [size =\"33802240\"]\n  17 -> 31 [size =\"33802240\"]\n  17 -> 32 [size =\"33802240\"]\n  17 -> 35 [size =\"33802240\"]\n  18 [size=\"147288747\", alpha=\"0.14\", expect_size=\"44186624\"] \n  18 -> 21 [size =\"44186624\"]\n  18 -> 22 [size =\"44186624\"]\n  18 -> 25 [size =\"44186624\"]\n  18 -> 26 [size =\"44186624\"]\n  18 -> 27 [size =\"44186624\"]\n  18 -> 28 [size =\"44186624\"]\n  18 -> 30 [size =\"44186624\"]\n  19 [size=\"145448960\", alpha=\"0.19\", expect_size=\"43634688\"] \n  19 -> 21 [size =\"43634688\"]\n  19 -> 22 [size =\"43634688\"]\n  19 -> 23 [size =\"43634688\"]\n  19 -> 24 [size =\"43634688\"]\n  19 -> 25 [size =\"43634688\"]\n  19 -> 27 [size =\"43634688\"]\n  19 -> 30 [size =\"43634688\"]\n  20 [size=\"97399467\", alpha=\"0.00\", expect_size=\"29219840\"] \n  20 -> 22 [size =\"29219840\"]\n  20 -> 22 [size =\"29219840\"]\n  20 -> 24 [size =\"29219840\"]\n  20 -> 25 [size =\"29219840\"]\n  20 -> 25 [size =\"29219840\"]\n  20 -> 27 [size =\"29219840\"]\n  20 -> 28 [size =\"29219840\"]\n  20 -> 31 [size =\"29219840\"]\n  20 -> 32 [size =\"29219840\"]\n  21 [size=\"105058987\", alpha=\"0.02\", expect_size=\"31517696\"] \n  22 [size=\"165922133\", alpha=\"0.07\", expect_size=\"49776640\"] \n  23 [size=\"32727040\", alpha=\"0.03\", expect_size=\"9818112\"] \n  24 [size=\"29023573\", alpha=\"0.16\", expect_size=\"8707072\"] \n  25 [size=\"37942613\", alpha=\"0.17\", expect_size=\"11382784\"] \n  26 [size=\"137755307\", alpha=\"0.07\", expect_size=\"41326592\"] \n  27 [size=\"67211947\", alpha=\"0.01\", expect_size=\"20163584\"] \n  28 [size=\"66508800\", alpha=\"0.03\", expect_size=\"19952640\"] \n  29 [size=\"173223253\", alpha=\"0.17\", expect_size=\"51966976\"] \n  30 [size=\"167966720\", alpha=\"0.04\", expect_size=\"50390016\"] \n  31 [size=\"169314987\", alpha=\"0.08\", expect_size=\"50794496\"] \n  32 [size=\"24156160\", alpha=\"0.12\", expect_size=\"7246848\"] \n  33 [size=\"82199893\", alpha=\"0.13\", expect_size=\"24659968\"] \n  34 [size=\"107366400\", alpha=\"0.19\", expect_size=\"32209920\"] \n  35 [size=\"79551147\", alpha=\"0.04\", expect_size=\"23865344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10749952\", alpha=\"0.17\", expect_size=\"5374976\"] \n  1 -> 2 [size =\"5374976\"]\n  2 [size=\"82497536\", alpha=\"0.19\", expect_size=\"41248768\"] \n  2 -> 3 [size =\"41248768\"]\n  2 -> 4 [size =\"41248768\"]\n  3 [size=\"86808576\", alpha=\"0.08\", expect_size=\"43404288\"] \n  4 [size=\"38565888\", alpha=\"0.08\", expect_size=\"19282944\"] \n  4 -> 5 [size =\"19282944\"]\n  5 [size=\"84844544\", alpha=\"0.08\", expect_size=\"42422272\"] \n  5 -> 6 [size =\"42422272\"]\n  6 [size=\"68706304\", alpha=\"0.05\", expect_size=\"34353152\"] \n  6 -> 7 [size =\"34353152\"]\n  7 [size=\"54990848\", alpha=\"0.15\", expect_size=\"27495424\"] \n  7 -> 8 [size =\"27495424\"]\n  7 -> 9 [size =\"27495424\"]\n  8 [size=\"62107648\", alpha=\"0.01\", expect_size=\"31053824\"] \n  9 [size=\"85596160\", alpha=\"0.02\", expect_size=\"42798080\"] \n  9 -> 10 [size =\"42798080\"]\n  10 [size=\"49696768\", alpha=\"0.05\", expect_size=\"24848384\"] \n  10 -> 11 [size =\"24848384\"]\n  11 [size=\"91176960\", alpha=\"0.08\", expect_size=\"45588480\"] \n  11 -> 12 [size =\"45588480\"]\n  11 -> 13 [size =\"45588480\"]\n  12 [size=\"78968832\", alpha=\"0.13\", expect_size=\"39484416\"] \n  12 -> 14 [size =\"39484416\"]\n  12 -> 15 [size =\"39484416\"]\n  13 [size=\"73271296\", alpha=\"0.11\", expect_size=\"36635648\"] \n  13 -> 14 [size =\"36635648\"]\n  13 -> 15 [size =\"36635648\"]\n  14 [size=\"18137088\", alpha=\"0.12\", expect_size=\"9068544\"] \n  14 -> 16 [size =\"9068544\"]\n  15 [size=\"55996416\", alpha=\"0.16\", expect_size=\"27998208\"] \n  16 [size=\"92835840\", alpha=\"0.03\", expect_size=\"46417920\"] \n  16 -> 17 [size =\"46417920\"]\n  16 -> 18 [size =\"46417920\"]\n  17 [size=\"23869440\", alpha=\"0.17\", expect_size=\"11934720\"] \n  17 -> 19 [size =\"11934720\"]\n  18 [size=\"95729664\", alpha=\"0.01\", expect_size=\"47864832\"] \n  18 -> 19 [size =\"47864832\"]\n  18 -> 20 [size =\"47864832\"]\n  19 [size=\"101304320\", alpha=\"0.02\", expect_size=\"50652160\"] \n  20 [size=\"16820224\", alpha=\"0.15\", expect_size=\"8410112\"] \n  20 -> 21 [size =\"8410112\"]\n  21 [size=\"39362560\", alpha=\"0.08\", expect_size=\"19681280\"] \n  21 -> 22 [size =\"19681280\"]\n  22 [size=\"77914112\", alpha=\"0.17\", expect_size=\"38957056\"] \n  22 -> 23 [size =\"38957056\"]\n  23 [size=\"46888960\", alpha=\"0.02\", expect_size=\"23444480\"] \n  23 -> 24 [size =\"23444480\"]\n  24 [size=\"100083712\", alpha=\"0.13\", expect_size=\"50041856\"] \n  24 -> 25 [size =\"50041856\"]\n  25 [size=\"64096256\", alpha=\"0.19\", expect_size=\"32048128\"] \n  25 -> 26 [size =\"32048128\"]\n  26 [size=\"43405312\", alpha=\"0.18\", expect_size=\"21702656\"] \n  26 -> 27 [size =\"21702656\"]\n  26 -> 28 [size =\"21702656\"]\n  27 [size=\"56180736\", alpha=\"0.07\", expect_size=\"28090368\"] \n  27 -> 29 [size =\"28090368\"]\n  28 [size=\"42731520\", alpha=\"0.06\", expect_size=\"21365760\"] \n  28 -> 29 [size =\"21365760\"]\n  29 [size=\"45570048\", alpha=\"0.01\", expect_size=\"22785024\"] \n  29 -> 30 [size =\"22785024\"]\n  29 -> 31 [size =\"22785024\"]\n  30 [size=\"52901888\", alpha=\"0.05\", expect_size=\"26450944\"] \n  31 [size=\"28999680\", alpha=\"0.05\", expect_size=\"14499840\"] \n  31 -> 32 [size =\"14499840\"]\n  31 -> 33 [size =\"14499840\"]\n  32 [size=\"68497408\", alpha=\"0.00\", expect_size=\"34248704\"] \n  32 -> 34 [size =\"34248704\"]\n  33 [size=\"54667264\", alpha=\"0.09\", expect_size=\"27333632\"] \n  34 [size=\"63832064\", alpha=\"0.19\", expect_size=\"31916032\"] \n  34 -> 35 [size =\"31916032\"]\n  35 [size=\"29702144\", alpha=\"0.19\", expect_size=\"14851072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57763840\", alpha=\"0.08\", expect_size=\"23105536\"] \n  1 -> 2 [size =\"23105536\"]\n  2 [size=\"72115200\", alpha=\"0.10\", expect_size=\"28846080\"] \n  2 -> 3 [size =\"28846080\"]\n  3 [size=\"66629120\", alpha=\"0.09\", expect_size=\"26651648\"] \n  3 -> 4 [size =\"26651648\"]\n  4 [size=\"106365440\", alpha=\"0.00\", expect_size=\"42546176\"] \n  4 -> 5 [size =\"42546176\"]\n  5 [size=\"22558720\", alpha=\"0.03\", expect_size=\"9023488\"] \n  5 -> 6 [size =\"9023488\"]\n  6 [size=\"45721600\", alpha=\"0.14\", expect_size=\"18288640\"] \n  6 -> 7 [size =\"18288640\"]\n  7 [size=\"26032640\", alpha=\"0.15\", expect_size=\"10413056\"] \n  7 -> 8 [size =\"10413056\"]\n  8 [size=\"113423360\", alpha=\"0.07\", expect_size=\"45369344\"] \n  8 -> 9 [size =\"45369344\"]\n  9 [size=\"97354240\", alpha=\"0.16\", expect_size=\"38941696\"] \n  9 -> 10 [size =\"38941696\"]\n  10 [size=\"74493440\", alpha=\"0.01\", expect_size=\"29797376\"] \n  10 -> 11 [size =\"29797376\"]\n  11 [size=\"60825600\", alpha=\"0.14\", expect_size=\"24330240\"] \n  11 -> 12 [size =\"24330240\"]\n  12 [size=\"107604480\", alpha=\"0.08\", expect_size=\"43041792\"] \n  12 -> 13 [size =\"43041792\"]\n  13 [size=\"49658880\", alpha=\"0.14\", expect_size=\"19863552\"] \n  13 -> 14 [size =\"19863552\"]\n  14 [size=\"105287680\", alpha=\"0.05\", expect_size=\"42115072\"] \n  14 -> 15 [size =\"42115072\"]\n  15 [size=\"105927680\", alpha=\"0.06\", expect_size=\"42371072\"] \n  15 -> 16 [size =\"42371072\"]\n  16 [size=\"121164800\", alpha=\"0.07\", expect_size=\"48465920\"] \n  16 -> 17 [size =\"48465920\"]\n  17 [size=\"87001600\", alpha=\"0.08\", expect_size=\"34800640\"] \n  17 -> 18 [size =\"34800640\"]\n  18 [size=\"58135040\", alpha=\"0.10\", expect_size=\"23254016\"] \n  18 -> 19 [size =\"23254016\"]\n  19 [size=\"97530880\", alpha=\"0.08\", expect_size=\"39012352\"] \n  19 -> 20 [size =\"39012352\"]\n  20 [size=\"73287680\", alpha=\"0.02\", expect_size=\"29315072\"] \n  20 -> 21 [size =\"29315072\"]\n  21 [size=\"76485120\", alpha=\"0.04\", expect_size=\"30594048\"] \n  21 -> 22 [size =\"30594048\"]\n  22 [size=\"42357760\", alpha=\"0.15\", expect_size=\"16943104\"] \n  22 -> 23 [size =\"16943104\"]\n  23 [size=\"91619840\", alpha=\"0.16\", expect_size=\"36647936\"] \n  23 -> 24 [size =\"36647936\"]\n  24 [size=\"58291200\", alpha=\"0.13\", expect_size=\"23316480\"] \n  24 -> 25 [size =\"23316480\"]\n  25 [size=\"88865280\", alpha=\"0.11\", expect_size=\"35546112\"] \n  25 -> 26 [size =\"35546112\"]\n  26 [size=\"121461760\", alpha=\"0.15\", expect_size=\"48584704\"] \n  26 -> 27 [size =\"48584704\"]\n  27 [size=\"42124800\", alpha=\"0.01\", expect_size=\"16849920\"] \n  27 -> 28 [size =\"16849920\"]\n  28 [size=\"92034560\", alpha=\"0.04\", expect_size=\"36813824\"] \n  28 -> 29 [size =\"36813824\"]\n  29 [size=\"35330560\", alpha=\"0.01\", expect_size=\"14132224\"] \n  29 -> 30 [size =\"14132224\"]\n  30 [size=\"81881600\", alpha=\"0.08\", expect_size=\"32752640\"] \n  30 -> 31 [size =\"32752640\"]\n  31 [size=\"93864960\", alpha=\"0.04\", expect_size=\"37545984\"] \n  31 -> 32 [size =\"37545984\"]\n  32 [size=\"115937280\", alpha=\"0.16\", expect_size=\"46374912\"] \n  32 -> 33 [size =\"46374912\"]\n  33 [size=\"89149440\", alpha=\"0.14\", expect_size=\"35659776\"] \n  33 -> 34 [size =\"35659776\"]\n  34 [size=\"67020800\", alpha=\"0.07\", expect_size=\"26808320\"] \n  34 -> 35 [size =\"26808320\"]\n  35 [size=\"24844800\", alpha=\"0.17\", expect_size=\"9937920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21489664\", alpha=\"0.12\", expect_size=\"10744832\"] \n  1 -> 12 [size =\"10744832\"]\n  1 -> 16 [size =\"10744832\"]\n  1 -> 17 [size =\"10744832\"]\n  1 -> 18 [size =\"10744832\"]\n  1 -> 19 [size =\"10744832\"]\n  1 -> 20 [size =\"10744832\"]\n  1 -> 22 [size =\"10744832\"]\n  1 -> 23 [size =\"10744832\"]\n  1 -> 24 [size =\"10744832\"]\n  2 [size=\"77285376\", alpha=\"0.14\", expect_size=\"38642688\"] \n  2 -> 13 [size =\"38642688\"]\n  2 -> 15 [size =\"38642688\"]\n  2 -> 16 [size =\"38642688\"]\n  2 -> 17 [size =\"38642688\"]\n  2 -> 18 [size =\"38642688\"]\n  2 -> 19 [size =\"38642688\"]\n  2 -> 22 [size =\"38642688\"]\n  2 -> 24 [size =\"38642688\"]\n  3 [size=\"72689664\", alpha=\"0.00\", expect_size=\"36344832\"] \n  3 -> 12 [size =\"36344832\"]\n  3 -> 13 [size =\"36344832\"]\n  3 -> 14 [size =\"36344832\"]\n  3 -> 15 [size =\"36344832\"]\n  3 -> 17 [size =\"36344832\"]\n  3 -> 18 [size =\"36344832\"]\n  3 -> 19 [size =\"36344832\"]\n  3 -> 21 [size =\"36344832\"]\n  3 -> 22 [size =\"36344832\"]\n  3 -> 24 [size =\"36344832\"]\n  4 [size=\"74870784\", alpha=\"0.17\", expect_size=\"37435392\"] \n  4 -> 14 [size =\"37435392\"]\n  4 -> 16 [size =\"37435392\"]\n  4 -> 18 [size =\"37435392\"]\n  4 -> 20 [size =\"37435392\"]\n  4 -> 22 [size =\"37435392\"]\n  4 -> 24 [size =\"37435392\"]\n  5 [size=\"49432576\", alpha=\"0.10\", expect_size=\"24716288\"] \n  5 -> 12 [size =\"24716288\"]\n  5 -> 14 [size =\"24716288\"]\n  5 -> 17 [size =\"24716288\"]\n  5 -> 19 [size =\"24716288\"]\n  5 -> 20 [size =\"24716288\"]\n  5 -> 21 [size =\"24716288\"]\n  5 -> 22 [size =\"24716288\"]\n  5 -> 25 [size =\"24716288\"]\n  6 [size=\"75196416\", alpha=\"0.10\", expect_size=\"37598208\"] \n  6 -> 10 [size =\"37598208\"]\n  6 -> 12 [size =\"37598208\"]\n  6 -> 13 [size =\"37598208\"]\n  6 -> 14 [size =\"37598208\"]\n  6 -> 16 [size =\"37598208\"]\n  6 -> 17 [size =\"37598208\"]\n  6 -> 18 [size =\"37598208\"]\n  6 -> 19 [size =\"37598208\"]\n  6 -> 20 [size =\"37598208\"]\n  7 [size=\"25249792\", alpha=\"0.17\", expect_size=\"12624896\"] \n  7 -> 11 [size =\"12624896\"]\n  7 -> 14 [size =\"12624896\"]\n  7 -> 15 [size =\"12624896\"]\n  7 -> 17 [size =\"12624896\"]\n  7 -> 18 [size =\"12624896\"]\n  7 -> 20 [size =\"12624896\"]\n  7 -> 23 [size =\"12624896\"]\n  8 [size=\"19574784\", alpha=\"0.19\", expect_size=\"9787392\"] \n  8 -> 11 [size =\"9787392\"]\n  8 -> 13 [size =\"9787392\"]\n  8 -> 16 [size =\"9787392\"]\n  8 -> 17 [size =\"9787392\"]\n  8 -> 18 [size =\"9787392\"]\n  8 -> 19 [size =\"9787392\"]\n  8 -> 20 [size =\"9787392\"]\n  8 -> 24 [size =\"9787392\"]\n  8 -> 25 [size =\"9787392\"]\n  9 [size=\"16576512\", alpha=\"0.08\", expect_size=\"8288256\"] \n  9 -> 16 [size =\"8288256\"]\n  9 -> 18 [size =\"8288256\"]\n  9 -> 19 [size =\"8288256\"]\n  9 -> 20 [size =\"8288256\"]\n  9 -> 21 [size =\"8288256\"]\n  9 -> 22 [size =\"8288256\"]\n  10 [size=\"104839168\", alpha=\"0.05\", expect_size=\"52419584\"] \n  10 -> 29 [size =\"52419584\"]\n  10 -> 30 [size =\"52419584\"]\n  10 -> 30 [size =\"52419584\"]\n  10 -> 35 [size =\"52419584\"]\n  11 [size=\"79945728\", alpha=\"0.13\", expect_size=\"39972864\"] \n  11 -> 27 [size =\"39972864\"]\n  11 -> 30 [size =\"39972864\"]\n  11 -> 32 [size =\"39972864\"]\n  11 -> 35 [size =\"39972864\"]\n  12 [size=\"42739712\", alpha=\"0.14\", expect_size=\"21369856\"] \n  12 -> 26 [size =\"21369856\"]\n  12 -> 27 [size =\"21369856\"]\n  12 -> 30 [size =\"21369856\"]\n  12 -> 35 [size =\"21369856\"]\n  13 [size=\"16308224\", alpha=\"0.01\", expect_size=\"8154112\"] \n  13 -> 27 [size =\"8154112\"]\n  13 -> 30 [size =\"8154112\"]\n  13 -> 34 [size =\"8154112\"]\n  13 -> 35 [size =\"8154112\"]\n  14 [size=\"18055168\", alpha=\"0.10\", expect_size=\"9027584\"] \n  14 -> 26 [size =\"9027584\"]\n  14 -> 31 [size =\"9027584\"]\n  14 -> 32 [size =\"9027584\"]\n  14 -> 33 [size =\"9027584\"]\n  14 -> 34 [size =\"9027584\"]\n  14 -> 35 [size =\"9027584\"]\n  15 [size=\"98584576\", alpha=\"0.09\", expect_size=\"49292288\"] \n  15 -> 27 [size =\"49292288\"]\n  15 -> 34 [size =\"49292288\"]\n  15 -> 35 [size =\"49292288\"]\n  16 [size=\"49704960\", alpha=\"0.11\", expect_size=\"24852480\"] \n  16 -> 27 [size =\"24852480\"]\n  16 -> 31 [size =\"24852480\"]\n  16 -> 34 [size =\"24852480\"]\n  16 -> 35 [size =\"24852480\"]\n  17 [size=\"99088384\", alpha=\"0.01\", expect_size=\"49544192\"] \n  17 -> 27 [size =\"49544192\"]\n  17 -> 29 [size =\"49544192\"]\n  17 -> 30 [size =\"49544192\"]\n  17 -> 35 [size =\"49544192\"]\n  18 [size=\"86605824\", alpha=\"0.19\", expect_size=\"43302912\"] \n  18 -> 27 [size =\"43302912\"]\n  18 -> 30 [size =\"43302912\"]\n  18 -> 32 [size =\"43302912\"]\n  18 -> 35 [size =\"43302912\"]\n  19 [size=\"79718400\", alpha=\"0.00\", expect_size=\"39859200\"] \n  19 -> 27 [size =\"39859200\"]\n  19 -> 28 [size =\"39859200\"]\n  19 -> 32 [size =\"39859200\"]\n  19 -> 34 [size =\"39859200\"]\n  19 -> 35 [size =\"39859200\"]\n  20 [size=\"22724608\", alpha=\"0.07\", expect_size=\"11362304\"] \n  20 -> 27 [size =\"11362304\"]\n  20 -> 30 [size =\"11362304\"]\n  20 -> 34 [size =\"11362304\"]\n  20 -> 35 [size =\"11362304\"]\n  20 -> 35 [size =\"11362304\"]\n  21 [size=\"48068608\", alpha=\"0.16\", expect_size=\"24034304\"] \n  21 -> 26 [size =\"24034304\"]\n  21 -> 30 [size =\"24034304\"]\n  21 -> 34 [size =\"24034304\"]\n  22 [size=\"12783616\", alpha=\"0.20\", expect_size=\"6391808\"] \n  22 -> 27 [size =\"6391808\"]\n  22 -> 30 [size =\"6391808\"]\n  22 -> 34 [size =\"6391808\"]\n  22 -> 35 [size =\"6391808\"]\n  23 [size=\"79529984\", alpha=\"0.16\", expect_size=\"39764992\"] \n  23 -> 26 [size =\"39764992\"]\n  23 -> 30 [size =\"39764992\"]\n  23 -> 32 [size =\"39764992\"]\n  24 [size=\"84813824\", alpha=\"0.06\", expect_size=\"42406912\"] \n  24 -> 26 [size =\"42406912\"]\n  24 -> 30 [size =\"42406912\"]\n  24 -> 34 [size =\"42406912\"]\n  25 [size=\"39043072\", alpha=\"0.05\", expect_size=\"19521536\"] \n  25 -> 26 [size =\"19521536\"]\n  25 -> 27 [size =\"19521536\"]\n  25 -> 30 [size =\"19521536\"]\n  25 -> 32 [size =\"19521536\"]\n  25 -> 34 [size =\"19521536\"]\n  25 -> 35 [size =\"19521536\"]\n  26 [size=\"81936384\", alpha=\"0.17\", expect_size=\"40968192\"] \n  27 [size=\"37396480\", alpha=\"0.12\", expect_size=\"18698240\"] \n  28 [size=\"42524672\", alpha=\"0.09\", expect_size=\"21262336\"] \n  29 [size=\"38154240\", alpha=\"0.08\", expect_size=\"19077120\"] \n  30 [size=\"39165952\", alpha=\"0.06\", expect_size=\"19582976\"] \n  31 [size=\"72550400\", alpha=\"0.20\", expect_size=\"36275200\"] \n  32 [size=\"54935552\", alpha=\"0.20\", expect_size=\"27467776\"] \n  33 [size=\"53123072\", alpha=\"0.01\", expect_size=\"26561536\"] \n  34 [size=\"34947072\", alpha=\"0.04\", expect_size=\"17473536\"] \n  35 [size=\"64792576\", alpha=\"0.05\", expect_size=\"32396288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15919104\", alpha=\"0.17\", expect_size=\"7959552\"] \n  1 -> 4 [size =\"7959552\"]\n  2 [size=\"100880384\", alpha=\"0.10\", expect_size=\"50440192\"] \n  2 -> 3 [size =\"50440192\"]\n  2 -> 4 [size =\"50440192\"]\n  3 [size=\"32600064\", alpha=\"0.04\", expect_size=\"16300032\"] \n  3 -> 5 [size =\"16300032\"]\n  4 [size=\"64831488\", alpha=\"0.19\", expect_size=\"32415744\"] \n  5 [size=\"69289984\", alpha=\"0.02\", expect_size=\"34644992\"] \n  5 -> 6 [size =\"34644992\"]\n  6 [size=\"100491264\", alpha=\"0.20\", expect_size=\"50245632\"] \n  6 -> 7 [size =\"50245632\"]\n  6 -> 8 [size =\"50245632\"]\n  7 [size=\"38371328\", alpha=\"0.11\", expect_size=\"19185664\"] \n  8 [size=\"22865920\", alpha=\"0.17\", expect_size=\"11432960\"] \n  8 -> 9 [size =\"11432960\"]\n  9 [size=\"23748608\", alpha=\"0.15\", expect_size=\"11874304\"] \n  9 -> 10 [size =\"11874304\"]\n  10 [size=\"86628352\", alpha=\"0.13\", expect_size=\"43314176\"] \n  10 -> 11 [size =\"43314176\"]\n  11 [size=\"96788480\", alpha=\"0.10\", expect_size=\"48394240\"] \n  11 -> 12 [size =\"48394240\"]\n  12 [size=\"82020352\", alpha=\"0.15\", expect_size=\"41010176\"] \n  12 -> 13 [size =\"41010176\"]\n  12 -> 14 [size =\"41010176\"]\n  13 [size=\"36706304\", alpha=\"0.10\", expect_size=\"18353152\"] \n  13 -> 16 [size =\"18353152\"]\n  14 [size=\"57229312\", alpha=\"0.10\", expect_size=\"28614656\"] \n  14 -> 15 [size =\"28614656\"]\n  14 -> 16 [size =\"28614656\"]\n  15 [size=\"51746816\", alpha=\"0.19\", expect_size=\"25873408\"] \n  16 [size=\"62298112\", alpha=\"0.04\", expect_size=\"31149056\"] \n  16 -> 17 [size =\"31149056\"]\n  17 [size=\"60223488\", alpha=\"0.09\", expect_size=\"30111744\"] \n  17 -> 18 [size =\"30111744\"]\n  17 -> 19 [size =\"30111744\"]\n  18 [size=\"16717824\", alpha=\"0.01\", expect_size=\"8358912\"] \n  18 -> 20 [size =\"8358912\"]\n  18 -> 21 [size =\"8358912\"]\n  19 [size=\"95995904\", alpha=\"0.14\", expect_size=\"47997952\"] \n  20 [size=\"71043072\", alpha=\"0.12\", expect_size=\"35521536\"] \n  20 -> 23 [size =\"35521536\"]\n  21 [size=\"39510016\", alpha=\"0.12\", expect_size=\"19755008\"] \n  21 -> 22 [size =\"19755008\"]\n  21 -> 23 [size =\"19755008\"]\n  22 [size=\"88799232\", alpha=\"0.10\", expect_size=\"44399616\"] \n  22 -> 24 [size =\"44399616\"]\n  23 [size=\"66437120\", alpha=\"0.14\", expect_size=\"33218560\"] \n  24 [size=\"19888128\", alpha=\"0.09\", expect_size=\"9944064\"] \n  24 -> 25 [size =\"9944064\"]\n  25 [size=\"67796992\", alpha=\"0.16\", expect_size=\"33898496\"] \n  25 -> 26 [size =\"33898496\"]\n  26 [size=\"62040064\", alpha=\"0.02\", expect_size=\"31020032\"] \n  26 -> 27 [size =\"31020032\"]\n  27 [size=\"80869376\", alpha=\"0.15\", expect_size=\"40434688\"] \n  27 -> 28 [size =\"40434688\"]\n  27 -> 29 [size =\"40434688\"]\n  28 [size=\"28573696\", alpha=\"0.10\", expect_size=\"14286848\"] \n  28 -> 31 [size =\"14286848\"]\n  29 [size=\"30959616\", alpha=\"0.07\", expect_size=\"15479808\"] \n  29 -> 30 [size =\"15479808\"]\n  29 -> 31 [size =\"15479808\"]\n  30 [size=\"94973952\", alpha=\"0.01\", expect_size=\"47486976\"] \n  30 -> 32 [size =\"47486976\"]\n  31 [size=\"57042944\", alpha=\"0.14\", expect_size=\"28521472\"] \n  31 -> 32 [size =\"28521472\"]\n  32 [size=\"16973824\", alpha=\"0.01\", expect_size=\"8486912\"] \n  32 -> 33 [size =\"8486912\"]\n  32 -> 34 [size =\"8486912\"]\n  33 [size=\"65161216\", alpha=\"0.14\", expect_size=\"32580608\"] \n  33 -> 35 [size =\"32580608\"]\n  34 [size=\"34973696\", alpha=\"0.17\", expect_size=\"17486848\"] \n  35 [size=\"75132928\", alpha=\"0.08\", expect_size=\"37566464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82629120\", alpha=\"0.13\", expect_size=\"33051648\"] \n  1 -> 18 [size =\"33051648\"]\n  1 -> 19 [size =\"33051648\"]\n  2 [size=\"102325760\", alpha=\"0.20\", expect_size=\"40930304\"] \n  2 -> 10 [size =\"40930304\"]\n  2 -> 14 [size =\"40930304\"]\n  2 -> 16 [size =\"40930304\"]\n  2 -> 17 [size =\"40930304\"]\n  2 -> 18 [size =\"40930304\"]\n  2 -> 19 [size =\"40930304\"]\n  2 -> 20 [size =\"40930304\"]\n  3 [size=\"58045440\", alpha=\"0.16\", expect_size=\"23218176\"] \n  3 -> 9 [size =\"23218176\"]\n  3 -> 13 [size =\"23218176\"]\n  3 -> 17 [size =\"23218176\"]\n  3 -> 19 [size =\"23218176\"]\n  3 -> 20 [size =\"23218176\"]\n  4 [size=\"31951360\", alpha=\"0.15\", expect_size=\"12780544\"] \n  4 -> 10 [size =\"12780544\"]\n  4 -> 11 [size =\"12780544\"]\n  4 -> 12 [size =\"12780544\"]\n  4 -> 14 [size =\"12780544\"]\n  4 -> 16 [size =\"12780544\"]\n  4 -> 18 [size =\"12780544\"]\n  4 -> 19 [size =\"12780544\"]\n  4 -> 20 [size =\"12780544\"]\n  5 [size=\"90818560\", alpha=\"0.09\", expect_size=\"36327424\"] \n  5 -> 10 [size =\"36327424\"]\n  5 -> 16 [size =\"36327424\"]\n  5 -> 18 [size =\"36327424\"]\n  5 -> 19 [size =\"36327424\"]\n  5 -> 20 [size =\"36327424\"]\n  6 [size=\"97198080\", alpha=\"0.17\", expect_size=\"38879232\"] \n  6 -> 9 [size =\"38879232\"]\n  6 -> 10 [size =\"38879232\"]\n  6 -> 17 [size =\"38879232\"]\n  6 -> 19 [size =\"38879232\"]\n  6 -> 20 [size =\"38879232\"]\n  7 [size=\"110840320\", alpha=\"0.10\", expect_size=\"44336128\"] \n  7 -> 10 [size =\"44336128\"]\n  7 -> 13 [size =\"44336128\"]\n  7 -> 15 [size =\"44336128\"]\n  7 -> 17 [size =\"44336128\"]\n  8 [size=\"49249280\", alpha=\"0.17\", expect_size=\"19699712\"] \n  8 -> 10 [size =\"19699712\"]\n  8 -> 14 [size =\"19699712\"]\n  8 -> 16 [size =\"19699712\"]\n  8 -> 19 [size =\"19699712\"]\n  9 [size=\"62133760\", alpha=\"0.19\", expect_size=\"24853504\"] \n  9 -> 21 [size =\"24853504\"]\n  9 -> 23 [size =\"24853504\"]\n  9 -> 24 [size =\"24853504\"]\n  9 -> 25 [size =\"24853504\"]\n  9 -> 26 [size =\"24853504\"]\n  9 -> 27 [size =\"24853504\"]\n  9 -> 29 [size =\"24853504\"]\n  9 -> 30 [size =\"24853504\"]\n  9 -> 31 [size =\"24853504\"]\n  10 [size=\"87818240\", alpha=\"0.08\", expect_size=\"35127296\"] \n  10 -> 21 [size =\"35127296\"]\n  10 -> 22 [size =\"35127296\"]\n  10 -> 23 [size =\"35127296\"]\n  10 -> 25 [size =\"35127296\"]\n  10 -> 29 [size =\"35127296\"]\n  10 -> 30 [size =\"35127296\"]\n  10 -> 31 [size =\"35127296\"]\n  11 [size=\"75432960\", alpha=\"0.08\", expect_size=\"30173184\"] \n  11 -> 21 [size =\"30173184\"]\n  11 -> 22 [size =\"30173184\"]\n  11 -> 23 [size =\"30173184\"]\n  11 -> 24 [size =\"30173184\"]\n  11 -> 26 [size =\"30173184\"]\n  11 -> 30 [size =\"30173184\"]\n  11 -> 31 [size =\"30173184\"]\n  12 [size=\"34078720\", alpha=\"0.06\", expect_size=\"13631488\"] \n  12 -> 24 [size =\"13631488\"]\n  12 -> 25 [size =\"13631488\"]\n  12 -> 26 [size =\"13631488\"]\n  12 -> 31 [size =\"13631488\"]\n  13 [size=\"33466880\", alpha=\"0.09\", expect_size=\"13386752\"] \n  13 -> 24 [size =\"13386752\"]\n  13 -> 25 [size =\"13386752\"]\n  13 -> 29 [size =\"13386752\"]\n  13 -> 31 [size =\"13386752\"]\n  14 [size=\"125926400\", alpha=\"0.16\", expect_size=\"50370560\"] \n  14 -> 21 [size =\"50370560\"]\n  14 -> 23 [size =\"50370560\"]\n  14 -> 25 [size =\"50370560\"]\n  14 -> 27 [size =\"50370560\"]\n  14 -> 28 [size =\"50370560\"]\n  14 -> 29 [size =\"50370560\"]\n  15 [size=\"96040960\", alpha=\"0.06\", expect_size=\"38416384\"] \n  15 -> 29 [size =\"38416384\"]\n  15 -> 30 [size =\"38416384\"]\n  16 [size=\"31516160\", alpha=\"0.12\", expect_size=\"12606464\"] \n  16 -> 21 [size =\"12606464\"]\n  16 -> 22 [size =\"12606464\"]\n  16 -> 23 [size =\"12606464\"]\n  16 -> 24 [size =\"12606464\"]\n  16 -> 28 [size =\"12606464\"]\n  16 -> 30 [size =\"12606464\"]\n  17 [size=\"15769600\", alpha=\"0.09\", expect_size=\"6307840\"] \n  17 -> 22 [size =\"6307840\"]\n  17 -> 24 [size =\"6307840\"]\n  17 -> 26 [size =\"6307840\"]\n  17 -> 29 [size =\"6307840\"]\n  17 -> 30 [size =\"6307840\"]\n  17 -> 30 [size =\"6307840\"]\n  18 [size=\"75473920\", alpha=\"0.04\", expect_size=\"30189568\"] \n  18 -> 22 [size =\"30189568\"]\n  18 -> 23 [size =\"30189568\"]\n  18 -> 24 [size =\"30189568\"]\n  18 -> 26 [size =\"30189568\"]\n  18 -> 28 [size =\"30189568\"]\n  18 -> 30 [size =\"30189568\"]\n  19 [size=\"56097280\", alpha=\"0.17\", expect_size=\"22438912\"] \n  19 -> 23 [size =\"22438912\"]\n  19 -> 23 [size =\"22438912\"]\n  19 -> 24 [size =\"22438912\"]\n  19 -> 26 [size =\"22438912\"]\n  19 -> 28 [size =\"22438912\"]\n  19 -> 30 [size =\"22438912\"]\n  20 [size=\"50224640\", alpha=\"0.20\", expect_size=\"20089856\"] \n  20 -> 21 [size =\"20089856\"]\n  20 -> 23 [size =\"20089856\"]\n  20 -> 24 [size =\"20089856\"]\n  20 -> 25 [size =\"20089856\"]\n  20 -> 26 [size =\"20089856\"]\n  20 -> 28 [size =\"20089856\"]\n  20 -> 30 [size =\"20089856\"]\n  20 -> 31 [size =\"20089856\"]\n  21 [size=\"96619520\", alpha=\"0.14\", expect_size=\"38647808\"] \n  21 -> 32 [size =\"38647808\"]\n  21 -> 34 [size =\"38647808\"]\n  22 [size=\"23211520\", alpha=\"0.04\", expect_size=\"9284608\"] \n  22 -> 34 [size =\"9284608\"]\n  23 [size=\"60244480\", alpha=\"0.02\", expect_size=\"24097792\"] \n  23 -> 33 [size =\"24097792\"]\n  24 [size=\"116055040\", alpha=\"0.03\", expect_size=\"46422016\"] \n  24 -> 33 [size =\"46422016\"]\n  25 [size=\"90626560\", alpha=\"0.17\", expect_size=\"36250624\"] \n  25 -> 32 [size =\"36250624\"]\n  26 [size=\"127595520\", alpha=\"0.05\", expect_size=\"51038208\"] \n  26 -> 32 [size =\"51038208\"]\n  26 -> 34 [size =\"51038208\"]\n  27 [size=\"82050560\", alpha=\"0.10\", expect_size=\"32820224\"] \n  27 -> 34 [size =\"32820224\"]\n  28 [size=\"17344000\", alpha=\"0.01\", expect_size=\"6937600\"] \n  28 -> 34 [size =\"6937600\"]\n  29 [size=\"40949760\", alpha=\"0.20\", expect_size=\"16379904\"] \n  29 -> 34 [size =\"16379904\"]\n  30 [size=\"20994560\", alpha=\"0.12\", expect_size=\"8397824\"] \n  30 -> 34 [size =\"8397824\"]\n  30 -> 35 [size =\"8397824\"]\n  31 [size=\"18936320\", alpha=\"0.14\", expect_size=\"7574528\"] \n  32 [size=\"104299520\", alpha=\"0.00\", expect_size=\"41719808\"] \n  33 [size=\"130373120\", alpha=\"0.10\", expect_size=\"52149248\"] \n  34 [size=\"24135680\", alpha=\"0.18\", expect_size=\"9654272\"] \n  35 [size=\"40358400\", alpha=\"0.01\", expect_size=\"16143360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104174933\", alpha=\"0.18\", expect_size=\"31252480\"] \n  1 -> 8 [size =\"31252480\"]\n  1 -> 9 [size =\"31252480\"]\n  1 -> 10 [size =\"31252480\"]\n  2 [size=\"172868267\", alpha=\"0.15\", expect_size=\"51860480\"] \n  2 -> 6 [size =\"51860480\"]\n  2 -> 7 [size =\"51860480\"]\n  2 -> 9 [size =\"51860480\"]\n  2 -> 10 [size =\"51860480\"]\n  3 [size=\"64771413\", alpha=\"0.01\", expect_size=\"19431424\"] \n  3 -> 5 [size =\"19431424\"]\n  4 [size=\"106349227\", alpha=\"0.01\", expect_size=\"31904768\"] \n  4 -> 6 [size =\"31904768\"]\n  5 [size=\"88954880\", alpha=\"0.05\", expect_size=\"26686464\"] \n  5 -> 12 [size =\"26686464\"]\n  5 -> 15 [size =\"26686464\"]\n  6 [size=\"31788373\", alpha=\"0.15\", expect_size=\"9536512\"] \n  6 -> 13 [size =\"9536512\"]\n  7 [size=\"46049280\", alpha=\"0.12\", expect_size=\"13814784\"] \n  7 -> 11 [size =\"13814784\"]\n  7 -> 12 [size =\"13814784\"]\n  7 -> 14 [size =\"13814784\"]\n  8 [size=\"139311787\", alpha=\"0.01\", expect_size=\"41793536\"] \n  8 -> 11 [size =\"41793536\"]\n  8 -> 13 [size =\"41793536\"]\n  8 -> 15 [size =\"41793536\"]\n  9 [size=\"115770027\", alpha=\"0.12\", expect_size=\"34731008\"] \n  10 [size=\"31006720\", alpha=\"0.09\", expect_size=\"9302016\"] \n  10 -> 11 [size =\"9302016\"]\n  10 -> 12 [size =\"9302016\"]\n  10 -> 13 [size =\"9302016\"]\n  10 -> 14 [size =\"9302016\"]\n  10 -> 15 [size =\"9302016\"]\n  11 [size=\"164802560\", alpha=\"0.03\", expect_size=\"49440768\"] \n  11 -> 20 [size =\"49440768\"]\n  12 [size=\"149831680\", alpha=\"0.04\", expect_size=\"44949504\"] \n  12 -> 16 [size =\"44949504\"]\n  12 -> 18 [size =\"44949504\"]\n  12 -> 19 [size =\"44949504\"]\n  13 [size=\"113493333\", alpha=\"0.18\", expect_size=\"34048000\"] \n  13 -> 17 [size =\"34048000\"]\n  13 -> 20 [size =\"34048000\"]\n  14 [size=\"117978453\", alpha=\"0.05\", expect_size=\"35393536\"] \n  15 [size=\"124907520\", alpha=\"0.14\", expect_size=\"37472256\"] \n  15 -> 19 [size =\"37472256\"]\n  16 [size=\"163089067\", alpha=\"0.04\", expect_size=\"48926720\"] \n  17 [size=\"127675733\", alpha=\"0.08\", expect_size=\"38302720\"] \n  17 -> 21 [size =\"38302720\"]\n  17 -> 22 [size =\"38302720\"]\n  17 -> 23 [size =\"38302720\"]\n  17 -> 24 [size =\"38302720\"]\n  18 [size=\"66641920\", alpha=\"0.12\", expect_size=\"19992576\"] \n  18 -> 22 [size =\"19992576\"]\n  18 -> 22 [size =\"19992576\"]\n  19 [size=\"74192213\", alpha=\"0.07\", expect_size=\"22257664\"] \n  19 -> 21 [size =\"22257664\"]\n  20 [size=\"166212267\", alpha=\"0.11\", expect_size=\"49863680\"] \n  20 -> 23 [size =\"49863680\"]\n  21 [size=\"81070080\", alpha=\"0.05\", expect_size=\"24321024\"] \n  21 -> 28 [size =\"24321024\"]\n  22 [size=\"100785493\", alpha=\"0.19\", expect_size=\"30235648\"] \n  22 -> 26 [size =\"30235648\"]\n  22 -> 27 [size =\"30235648\"]\n  22 -> 28 [size =\"30235648\"]\n  23 [size=\"134570667\", alpha=\"0.20\", expect_size=\"40371200\"] \n  23 -> 25 [size =\"40371200\"]\n  24 [size=\"116391253\", alpha=\"0.11\", expect_size=\"34917376\"] \n  24 -> 25 [size =\"34917376\"]\n  24 -> 26 [size =\"34917376\"]\n  25 [size=\"152320000\", alpha=\"0.12\", expect_size=\"45696000\"] \n  26 [size=\"106567680\", alpha=\"0.14\", expect_size=\"31970304\"] \n  26 -> 31 [size =\"31970304\"]\n  26 -> 32 [size =\"31970304\"]\n  26 -> 33 [size =\"31970304\"]\n  27 [size=\"135113387\", alpha=\"0.00\", expect_size=\"40534016\"] \n  27 -> 29 [size =\"40534016\"]\n  28 [size=\"43410773\", alpha=\"0.02\", expect_size=\"13023232\"] \n  28 -> 29 [size =\"13023232\"]\n  28 -> 30 [size =\"13023232\"]\n  28 -> 31 [size =\"13023232\"]\n  28 -> 34 [size =\"13023232\"]\n  29 [size=\"139373227\", alpha=\"0.16\", expect_size=\"41811968\"] \n  30 [size=\"37799253\", alpha=\"0.12\", expect_size=\"11339776\"] \n  31 [size=\"120777387\", alpha=\"0.06\", expect_size=\"36233216\"] \n  31 -> 35 [size =\"36233216\"]\n  32 [size=\"160440320\", alpha=\"0.18\", expect_size=\"48132096\"] \n  33 [size=\"154893653\", alpha=\"0.01\", expect_size=\"46468096\"] \n  34 [size=\"151429120\", alpha=\"0.18\", expect_size=\"45428736\"] \n  34 -> 35 [size =\"45428736\"]\n  35 [size=\"81633280\", alpha=\"0.08\", expect_size=\"24489984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88457216\", alpha=\"0.15\", expect_size=\"44228608\"] \n  1 -> 2 [size =\"44228608\"]\n  1 -> 3 [size =\"44228608\"]\n  2 [size=\"19216384\", alpha=\"0.16\", expect_size=\"9608192\"] \n  2 -> 4 [size =\"9608192\"]\n  3 [size=\"47443968\", alpha=\"0.19\", expect_size=\"23721984\"] \n  3 -> 4 [size =\"23721984\"]\n  4 [size=\"16693248\", alpha=\"0.12\", expect_size=\"8346624\"] \n  4 -> 5 [size =\"8346624\"]\n  4 -> 6 [size =\"8346624\"]\n  5 [size=\"47497216\", alpha=\"0.04\", expect_size=\"23748608\"] \n  5 -> 7 [size =\"23748608\"]\n  6 [size=\"88786944\", alpha=\"0.01\", expect_size=\"44393472\"] \n  6 -> 7 [size =\"44393472\"]\n  7 [size=\"34060288\", alpha=\"0.19\", expect_size=\"17030144\"] \n  7 -> 8 [size =\"17030144\"]\n  8 [size=\"68823040\", alpha=\"0.11\", expect_size=\"34411520\"] \n  8 -> 9 [size =\"34411520\"]\n  8 -> 10 [size =\"34411520\"]\n  9 [size=\"10971136\", alpha=\"0.05\", expect_size=\"5485568\"] \n  9 -> 11 [size =\"5485568\"]\n  10 [size=\"92358656\", alpha=\"0.07\", expect_size=\"46179328\"] \n  11 [size=\"11427840\", alpha=\"0.15\", expect_size=\"5713920\"] \n  11 -> 12 [size =\"5713920\"]\n  11 -> 13 [size =\"5713920\"]\n  12 [size=\"80023552\", alpha=\"0.18\", expect_size=\"40011776\"] \n  12 -> 14 [size =\"40011776\"]\n  12 -> 15 [size =\"40011776\"]\n  13 [size=\"60170240\", alpha=\"0.16\", expect_size=\"30085120\"] \n  13 -> 14 [size =\"30085120\"]\n  13 -> 15 [size =\"30085120\"]\n  14 [size=\"54659072\", alpha=\"0.18\", expect_size=\"27329536\"] \n  15 [size=\"18604032\", alpha=\"0.07\", expect_size=\"9302016\"] \n  15 -> 16 [size =\"9302016\"]\n  16 [size=\"38664192\", alpha=\"0.09\", expect_size=\"19332096\"] \n  16 -> 17 [size =\"19332096\"]\n  17 [size=\"43143168\", alpha=\"0.17\", expect_size=\"21571584\"] \n  17 -> 18 [size =\"21571584\"]\n  17 -> 19 [size =\"21571584\"]\n  18 [size=\"37310464\", alpha=\"0.01\", expect_size=\"18655232\"] \n  18 -> 20 [size =\"18655232\"]\n  19 [size=\"86910976\", alpha=\"0.17\", expect_size=\"43455488\"] \n  19 -> 20 [size =\"43455488\"]\n  20 [size=\"16543744\", alpha=\"0.04\", expect_size=\"8271872\"] \n  20 -> 21 [size =\"8271872\"]\n  20 -> 22 [size =\"8271872\"]\n  21 [size=\"48769024\", alpha=\"0.08\", expect_size=\"24384512\"] \n  21 -> 23 [size =\"24384512\"]\n  21 -> 24 [size =\"24384512\"]\n  22 [size=\"27117568\", alpha=\"0.14\", expect_size=\"13558784\"] \n  22 -> 24 [size =\"13558784\"]\n  23 [size=\"17106944\", alpha=\"0.08\", expect_size=\"8553472\"] \n  23 -> 25 [size =\"8553472\"]\n  24 [size=\"94025728\", alpha=\"0.03\", expect_size=\"47012864\"] \n  25 [size=\"83755008\", alpha=\"0.06\", expect_size=\"41877504\"] \n  25 -> 26 [size =\"41877504\"]\n  25 -> 27 [size =\"41877504\"]\n  26 [size=\"21139456\", alpha=\"0.05\", expect_size=\"10569728\"] \n  26 -> 29 [size =\"10569728\"]\n  27 [size=\"62838784\", alpha=\"0.10\", expect_size=\"31419392\"] \n  27 -> 28 [size =\"31419392\"]\n  27 -> 29 [size =\"31419392\"]\n  28 [size=\"49268736\", alpha=\"0.07\", expect_size=\"24634368\"] \n  28 -> 30 [size =\"24634368\"]\n  28 -> 31 [size =\"24634368\"]\n  29 [size=\"54069248\", alpha=\"0.04\", expect_size=\"27034624\"] \n  30 [size=\"38461440\", alpha=\"0.18\", expect_size=\"19230720\"] \n  30 -> 32 [size =\"19230720\"]\n  30 -> 33 [size =\"19230720\"]\n  31 [size=\"58458112\", alpha=\"0.13\", expect_size=\"29229056\"] \n  31 -> 32 [size =\"29229056\"]\n  31 -> 33 [size =\"29229056\"]\n  32 [size=\"97662976\", alpha=\"0.02\", expect_size=\"48831488\"] \n  33 [size=\"70430720\", alpha=\"0.02\", expect_size=\"35215360\"] \n  33 -> 34 [size =\"35215360\"]\n  34 [size=\"13725696\", alpha=\"0.11\", expect_size=\"6862848\"] \n  34 -> 35 [size =\"6862848\"]\n  35 [size=\"28123136\", alpha=\"0.02\", expect_size=\"14061568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30871552\", alpha=\"0.19\", expect_size=\"15435776\"] \n  1 -> 2 [size =\"15435776\"]\n  2 [size=\"80693248\", alpha=\"0.10\", expect_size=\"40346624\"] \n  2 -> 3 [size =\"40346624\"]\n  3 [size=\"74973184\", alpha=\"0.03\", expect_size=\"37486592\"] \n  3 -> 4 [size =\"37486592\"]\n  4 [size=\"25163776\", alpha=\"0.03\", expect_size=\"12581888\"] \n  4 -> 5 [size =\"12581888\"]\n  5 [size=\"95985664\", alpha=\"0.06\", expect_size=\"47992832\"] \n  5 -> 6 [size =\"47992832\"]\n  6 [size=\"19187712\", alpha=\"0.20\", expect_size=\"9593856\"] \n  6 -> 7 [size =\"9593856\"]\n  7 [size=\"70905856\", alpha=\"0.17\", expect_size=\"35452928\"] \n  7 -> 8 [size =\"35452928\"]\n  8 [size=\"41195520\", alpha=\"0.18\", expect_size=\"20597760\"] \n  8 -> 9 [size =\"20597760\"]\n  9 [size=\"85934080\", alpha=\"0.11\", expect_size=\"42967040\"] \n  9 -> 10 [size =\"42967040\"]\n  10 [size=\"23863296\", alpha=\"0.19\", expect_size=\"11931648\"] \n  10 -> 11 [size =\"11931648\"]\n  11 [size=\"38787072\", alpha=\"0.13\", expect_size=\"19393536\"] \n  11 -> 12 [size =\"19393536\"]\n  12 [size=\"36331520\", alpha=\"0.03\", expect_size=\"18165760\"] \n  12 -> 13 [size =\"18165760\"]\n  13 [size=\"81364992\", alpha=\"0.16\", expect_size=\"40682496\"] \n  13 -> 14 [size =\"40682496\"]\n  14 [size=\"97347584\", alpha=\"0.13\", expect_size=\"48673792\"] \n  14 -> 15 [size =\"48673792\"]\n  15 [size=\"19447808\", alpha=\"0.04\", expect_size=\"9723904\"] \n  15 -> 16 [size =\"9723904\"]\n  16 [size=\"46643200\", alpha=\"0.08\", expect_size=\"23321600\"] \n  16 -> 17 [size =\"23321600\"]\n  17 [size=\"44941312\", alpha=\"0.05\", expect_size=\"22470656\"] \n  17 -> 18 [size =\"22470656\"]\n  18 [size=\"32509952\", alpha=\"0.01\", expect_size=\"16254976\"] \n  18 -> 19 [size =\"16254976\"]\n  19 [size=\"21227520\", alpha=\"0.08\", expect_size=\"10613760\"] \n  19 -> 20 [size =\"10613760\"]\n  20 [size=\"71354368\", alpha=\"0.16\", expect_size=\"35677184\"] \n  20 -> 21 [size =\"35677184\"]\n  21 [size=\"65873920\", alpha=\"0.07\", expect_size=\"32936960\"] \n  21 -> 22 [size =\"32936960\"]\n  22 [size=\"34103296\", alpha=\"0.14\", expect_size=\"17051648\"] \n  22 -> 23 [size =\"17051648\"]\n  23 [size=\"48785408\", alpha=\"0.14\", expect_size=\"24392704\"] \n  23 -> 24 [size =\"24392704\"]\n  24 [size=\"28073984\", alpha=\"0.17\", expect_size=\"14036992\"] \n  24 -> 25 [size =\"14036992\"]\n  25 [size=\"91215872\", alpha=\"0.19\", expect_size=\"45607936\"] \n  25 -> 26 [size =\"45607936\"]\n  26 [size=\"13404160\", alpha=\"0.02\", expect_size=\"6702080\"] \n  26 -> 27 [size =\"6702080\"]\n  27 [size=\"53094400\", alpha=\"0.18\", expect_size=\"26547200\"] \n  27 -> 28 [size =\"26547200\"]\n  28 [size=\"75251712\", alpha=\"0.01\", expect_size=\"37625856\"] \n  28 -> 29 [size =\"37625856\"]\n  29 [size=\"81102848\", alpha=\"0.20\", expect_size=\"40551424\"] \n  29 -> 30 [size =\"40551424\"]\n  30 [size=\"25405440\", alpha=\"0.01\", expect_size=\"12702720\"] \n  30 -> 31 [size =\"12702720\"]\n  31 [size=\"98904064\", alpha=\"0.09\", expect_size=\"49452032\"] \n  31 -> 32 [size =\"49452032\"]\n  32 [size=\"38868992\", alpha=\"0.02\", expect_size=\"19434496\"] \n  32 -> 33 [size =\"19434496\"]\n  33 [size=\"104253440\", alpha=\"0.09\", expect_size=\"52126720\"] \n  33 -> 34 [size =\"52126720\"]\n  34 [size=\"76429312\", alpha=\"0.16\", expect_size=\"38214656\"] \n  34 -> 35 [size =\"38214656\"]\n  35 [size=\"64448512\", alpha=\"0.04\", expect_size=\"32224256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92274688\", alpha=\"0.11\", expect_size=\"46137344\"] \n  1 -> 20 [size =\"46137344\"]\n  1 -> 23 [size =\"46137344\"]\n  1 -> 33 [size =\"46137344\"]\n  2 [size=\"34453504\", alpha=\"0.02\", expect_size=\"17226752\"] \n  2 -> 20 [size =\"17226752\"]\n  2 -> 22 [size =\"17226752\"]\n  2 -> 24 [size =\"17226752\"]\n  2 -> 34 [size =\"17226752\"]\n  3 [size=\"93896704\", alpha=\"0.19\", expect_size=\"46948352\"] \n  3 -> 21 [size =\"46948352\"]\n  3 -> 24 [size =\"46948352\"]\n  3 -> 30 [size =\"46948352\"]\n  3 -> 32 [size =\"46948352\"]\n  4 [size=\"100986880\", alpha=\"0.02\", expect_size=\"50493440\"] \n  4 -> 22 [size =\"50493440\"]\n  4 -> 23 [size =\"50493440\"]\n  4 -> 24 [size =\"50493440\"]\n  4 -> 26 [size =\"50493440\"]\n  4 -> 32 [size =\"50493440\"]\n  4 -> 34 [size =\"50493440\"]\n  5 [size=\"34070528\", alpha=\"0.12\", expect_size=\"17035264\"] \n  5 -> 20 [size =\"17035264\"]\n  5 -> 23 [size =\"17035264\"]\n  5 -> 24 [size =\"17035264\"]\n  5 -> 27 [size =\"17035264\"]\n  5 -> 30 [size =\"17035264\"]\n  6 [size=\"24657920\", alpha=\"0.00\", expect_size=\"12328960\"] \n  6 -> 23 [size =\"12328960\"]\n  6 -> 30 [size =\"12328960\"]\n  7 [size=\"94296064\", alpha=\"0.09\", expect_size=\"47148032\"] \n  7 -> 23 [size =\"47148032\"]\n  7 -> 25 [size =\"47148032\"]\n  7 -> 35 [size =\"47148032\"]\n  8 [size=\"40413184\", alpha=\"0.03\", expect_size=\"20206592\"] \n  8 -> 23 [size =\"20206592\"]\n  8 -> 30 [size =\"20206592\"]\n  8 -> 32 [size =\"20206592\"]\n  9 [size=\"99155968\", alpha=\"0.03\", expect_size=\"49577984\"] \n  9 -> 23 [size =\"49577984\"]\n  9 -> 31 [size =\"49577984\"]\n  9 -> 32 [size =\"49577984\"]\n  9 -> 33 [size =\"49577984\"]\n  10 [size=\"72478720\", alpha=\"0.05\", expect_size=\"36239360\"] \n  10 -> 20 [size =\"36239360\"]\n  10 -> 24 [size =\"36239360\"]\n  10 -> 29 [size =\"36239360\"]\n  11 [size=\"103499776\", alpha=\"0.04\", expect_size=\"51749888\"] \n  11 -> 20 [size =\"51749888\"]\n  11 -> 33 [size =\"51749888\"]\n  11 -> 34 [size =\"51749888\"]\n  12 [size=\"62468096\", alpha=\"0.15\", expect_size=\"31234048\"] \n  12 -> 20 [size =\"31234048\"]\n  12 -> 23 [size =\"31234048\"]\n  12 -> 24 [size =\"31234048\"]\n  12 -> 28 [size =\"31234048\"]\n  12 -> 33 [size =\"31234048\"]\n  12 -> 34 [size =\"31234048\"]\n  12 -> 35 [size =\"31234048\"]\n  13 [size=\"73867264\", alpha=\"0.19\", expect_size=\"36933632\"] \n  13 -> 20 [size =\"36933632\"]\n  13 -> 21 [size =\"36933632\"]\n  13 -> 26 [size =\"36933632\"]\n  13 -> 28 [size =\"36933632\"]\n  13 -> 32 [size =\"36933632\"]\n  13 -> 33 [size =\"36933632\"]\n  14 [size=\"70252544\", alpha=\"0.09\", expect_size=\"35126272\"] \n  14 -> 20 [size =\"35126272\"]\n  14 -> 28 [size =\"35126272\"]\n  14 -> 30 [size =\"35126272\"]\n  14 -> 32 [size =\"35126272\"]\n  14 -> 33 [size =\"35126272\"]\n  14 -> 33 [size =\"35126272\"]\n  14 -> 35 [size =\"35126272\"]\n  15 [size=\"77787136\", alpha=\"0.07\", expect_size=\"38893568\"] \n  15 -> 20 [size =\"38893568\"]\n  15 -> 21 [size =\"38893568\"]\n  15 -> 22 [size =\"38893568\"]\n  15 -> 28 [size =\"38893568\"]\n  15 -> 31 [size =\"38893568\"]\n  15 -> 33 [size =\"38893568\"]\n  16 [size=\"41791488\", alpha=\"0.17\", expect_size=\"20895744\"] \n  16 -> 22 [size =\"20895744\"]\n  16 -> 23 [size =\"20895744\"]\n  16 -> 28 [size =\"20895744\"]\n  17 [size=\"43280384\", alpha=\"0.03\", expect_size=\"21640192\"] \n  17 -> 21 [size =\"21640192\"]\n  17 -> 29 [size =\"21640192\"]\n  17 -> 33 [size =\"21640192\"]\n  18 [size=\"86755328\", alpha=\"0.00\", expect_size=\"43377664\"] \n  18 -> 19 [size =\"43377664\"]\n  18 -> 21 [size =\"43377664\"]\n  18 -> 24 [size =\"43377664\"]\n  18 -> 32 [size =\"43377664\"]\n  19 [size=\"101109760\", alpha=\"0.09\", expect_size=\"50554880\"] \n  20 [size=\"22683648\", alpha=\"0.16\", expect_size=\"11341824\"] \n  21 [size=\"46807040\", alpha=\"0.02\", expect_size=\"23403520\"] \n  22 [size=\"66973696\", alpha=\"0.12\", expect_size=\"33486848\"] \n  23 [size=\"43741184\", alpha=\"0.20\", expect_size=\"21870592\"] \n  24 [size=\"37042176\", alpha=\"0.07\", expect_size=\"18521088\"] \n  25 [size=\"77322240\", alpha=\"0.19\", expect_size=\"38661120\"] \n  26 [size=\"16437248\", alpha=\"0.14\", expect_size=\"8218624\"] \n  27 [size=\"97511424\", alpha=\"0.07\", expect_size=\"48755712\"] \n  28 [size=\"18833408\", alpha=\"0.06\", expect_size=\"9416704\"] \n  29 [size=\"20494336\", alpha=\"0.04\", expect_size=\"10247168\"] \n  30 [size=\"60848128\", alpha=\"0.15\", expect_size=\"30424064\"] \n  31 [size=\"43712512\", alpha=\"0.06\", expect_size=\"21856256\"] \n  32 [size=\"50874368\", alpha=\"0.08\", expect_size=\"25437184\"] \n  33 [size=\"11933696\", alpha=\"0.03\", expect_size=\"5966848\"] \n  34 [size=\"104671232\", alpha=\"0.11\", expect_size=\"52335616\"] \n  35 [size=\"42106880\", alpha=\"0.13\", expect_size=\"21053440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112857600\", alpha=\"0.07\", expect_size=\"45143040\"] \n  1 -> 2 [size =\"45143040\"]\n  2 [size=\"103713280\", alpha=\"0.13\", expect_size=\"41485312\"] \n  2 -> 3 [size =\"41485312\"]\n  2 -> 4 [size =\"41485312\"]\n  3 [size=\"121553920\", alpha=\"0.15\", expect_size=\"48621568\"] \n  4 [size=\"113159680\", alpha=\"0.20\", expect_size=\"45263872\"] \n  4 -> 5 [size =\"45263872\"]\n  5 [size=\"19432960\", alpha=\"0.16\", expect_size=\"7773184\"] \n  5 -> 6 [size =\"7773184\"]\n  5 -> 7 [size =\"7773184\"]\n  6 [size=\"75363840\", alpha=\"0.02\", expect_size=\"30145536\"] \n  6 -> 8 [size =\"30145536\"]\n  7 [size=\"37089280\", alpha=\"0.09\", expect_size=\"14835712\"] \n  8 [size=\"92805120\", alpha=\"0.17\", expect_size=\"37122048\"] \n  8 -> 9 [size =\"37122048\"]\n  9 [size=\"72529920\", alpha=\"0.05\", expect_size=\"29011968\"] \n  9 -> 10 [size =\"29011968\"]\n  10 [size=\"114140160\", alpha=\"0.01\", expect_size=\"45656064\"] \n  10 -> 11 [size =\"45656064\"]\n  11 [size=\"66309120\", alpha=\"0.17\", expect_size=\"26523648\"] \n  11 -> 12 [size =\"26523648\"]\n  11 -> 13 [size =\"26523648\"]\n  12 [size=\"105792000\", alpha=\"0.19\", expect_size=\"42316800\"] \n  12 -> 14 [size =\"42316800\"]\n  13 [size=\"62666240\", alpha=\"0.00\", expect_size=\"25066496\"] \n  14 [size=\"30615040\", alpha=\"0.05\", expect_size=\"12246016\"] \n  14 -> 15 [size =\"12246016\"]\n  15 [size=\"28892160\", alpha=\"0.01\", expect_size=\"11556864\"] \n  15 -> 16 [size =\"11556864\"]\n  16 [size=\"126087680\", alpha=\"0.01\", expect_size=\"50435072\"] \n  16 -> 17 [size =\"50435072\"]\n  16 -> 18 [size =\"50435072\"]\n  17 [size=\"21977600\", alpha=\"0.07\", expect_size=\"8791040\"] \n  17 -> 19 [size =\"8791040\"]\n  18 [size=\"75842560\", alpha=\"0.15\", expect_size=\"30337024\"] \n  18 -> 19 [size =\"30337024\"]\n  19 [size=\"56727040\", alpha=\"0.14\", expect_size=\"22690816\"] \n  19 -> 20 [size =\"22690816\"]\n  20 [size=\"85363200\", alpha=\"0.04\", expect_size=\"34145280\"] \n  20 -> 21 [size =\"34145280\"]\n  21 [size=\"90163200\", alpha=\"0.11\", expect_size=\"36065280\"] \n  21 -> 22 [size =\"36065280\"]\n  22 [size=\"69752320\", alpha=\"0.14\", expect_size=\"27900928\"] \n  22 -> 23 [size =\"27900928\"]\n  23 [size=\"61803520\", alpha=\"0.15\", expect_size=\"24721408\"] \n  23 -> 24 [size =\"24721408\"]\n  23 -> 25 [size =\"24721408\"]\n  24 [size=\"62653440\", alpha=\"0.12\", expect_size=\"25061376\"] \n  24 -> 26 [size =\"25061376\"]\n  24 -> 27 [size =\"25061376\"]\n  25 [size=\"94945280\", alpha=\"0.11\", expect_size=\"37978112\"] \n  25 -> 26 [size =\"37978112\"]\n  26 [size=\"98585600\", alpha=\"0.00\", expect_size=\"39434240\"] \n  26 -> 28 [size =\"39434240\"]\n  27 [size=\"106314240\", alpha=\"0.14\", expect_size=\"42525696\"] \n  28 [size=\"26936320\", alpha=\"0.01\", expect_size=\"10774528\"] \n  28 -> 29 [size =\"10774528\"]\n  29 [size=\"116569600\", alpha=\"0.18\", expect_size=\"46627840\"] \n  29 -> 30 [size =\"46627840\"]\n  29 -> 31 [size =\"46627840\"]\n  30 [size=\"83097600\", alpha=\"0.12\", expect_size=\"33239040\"] \n  30 -> 32 [size =\"33239040\"]\n  31 [size=\"109155840\", alpha=\"0.15\", expect_size=\"43662336\"] \n  31 -> 33 [size =\"43662336\"]\n  32 [size=\"58567680\", alpha=\"0.14\", expect_size=\"23427072\"] \n  33 [size=\"21941760\", alpha=\"0.01\", expect_size=\"8776704\"] \n  33 -> 34 [size =\"8776704\"]\n  33 -> 35 [size =\"8776704\"]\n  34 [size=\"107722240\", alpha=\"0.11\", expect_size=\"43088896\"] \n  35 [size=\"62069760\", alpha=\"0.04\", expect_size=\"24827904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112325973\", alpha=\"0.20\", expect_size=\"33697792\"] \n  1 -> 3 [size =\"33697792\"]\n  1 -> 5 [size =\"33697792\"]\n  1 -> 8 [size =\"33697792\"]\n  1 -> 9 [size =\"33697792\"]\n  2 [size=\"33672533\", alpha=\"0.06\", expect_size=\"10101760\"] \n  2 -> 4 [size =\"10101760\"]\n  2 -> 5 [size =\"10101760\"]\n  2 -> 6 [size =\"10101760\"]\n  2 -> 7 [size =\"10101760\"]\n  2 -> 8 [size =\"10101760\"]\n  3 [size=\"129413120\", alpha=\"0.07\", expect_size=\"38823936\"] \n  3 -> 13 [size =\"38823936\"]\n  4 [size=\"49128107\", alpha=\"0.03\", expect_size=\"14738432\"] \n  5 [size=\"122825387\", alpha=\"0.15\", expect_size=\"36847616\"] \n  5 -> 11 [size =\"36847616\"]\n  5 -> 12 [size =\"36847616\"]\n  6 [size=\"142001493\", alpha=\"0.01\", expect_size=\"42600448\"] \n  6 -> 12 [size =\"42600448\"]\n  6 -> 13 [size =\"42600448\"]\n  6 -> 14 [size =\"42600448\"]\n  7 [size=\"59316907\", alpha=\"0.10\", expect_size=\"17795072\"] \n  7 -> 12 [size =\"17795072\"]\n  8 [size=\"158436693\", alpha=\"0.11\", expect_size=\"47531008\"] \n  8 -> 10 [size =\"47531008\"]\n  8 -> 11 [size =\"47531008\"]\n  9 [size=\"154791253\", alpha=\"0.15\", expect_size=\"46437376\"] \n  9 -> 10 [size =\"46437376\"]\n  9 -> 11 [size =\"46437376\"]\n  9 -> 14 [size =\"46437376\"]\n  10 [size=\"44093440\", alpha=\"0.15\", expect_size=\"13228032\"] \n  10 -> 16 [size =\"13228032\"]\n  11 [size=\"90446507\", alpha=\"0.15\", expect_size=\"27133952\"] \n  11 -> 16 [size =\"27133952\"]\n  12 [size=\"89207467\", alpha=\"0.17\", expect_size=\"26762240\"] \n  12 -> 16 [size =\"26762240\"]\n  12 -> 17 [size =\"26762240\"]\n  13 [size=\"132942507\", alpha=\"0.12\", expect_size=\"39882752\"] \n  13 -> 16 [size =\"39882752\"]\n  13 -> 17 [size =\"39882752\"]\n  14 [size=\"28265813\", alpha=\"0.08\", expect_size=\"8479744\"] \n  14 -> 15 [size =\"8479744\"]\n  14 -> 17 [size =\"8479744\"]\n  15 [size=\"51985067\", alpha=\"0.08\", expect_size=\"15595520\"] \n  15 -> 19 [size =\"15595520\"]\n  15 -> 20 [size =\"15595520\"]\n  16 [size=\"171130880\", alpha=\"0.13\", expect_size=\"51339264\"] \n  17 [size=\"22111573\", alpha=\"0.17\", expect_size=\"6633472\"] \n  17 -> 18 [size =\"6633472\"]\n  17 -> 20 [size =\"6633472\"]\n  18 [size=\"103840427\", alpha=\"0.04\", expect_size=\"31152128\"] \n  18 -> 21 [size =\"31152128\"]\n  18 -> 22 [size =\"31152128\"]\n  18 -> 24 [size =\"31152128\"]\n  19 [size=\"30965760\", alpha=\"0.02\", expect_size=\"9289728\"] \n  19 -> 21 [size =\"9289728\"]\n  19 -> 25 [size =\"9289728\"]\n  20 [size=\"152340480\", alpha=\"0.14\", expect_size=\"45702144\"] \n  20 -> 23 [size =\"45702144\"]\n  20 -> 24 [size =\"45702144\"]\n  20 -> 25 [size =\"45702144\"]\n  21 [size=\"113339733\", alpha=\"0.17\", expect_size=\"34001920\"] \n  21 -> 26 [size =\"34001920\"]\n  21 -> 28 [size =\"34001920\"]\n  21 -> 29 [size =\"34001920\"]\n  22 [size=\"75844267\", alpha=\"0.02\", expect_size=\"22753280\"] \n  22 -> 26 [size =\"22753280\"]\n  22 -> 27 [size =\"22753280\"]\n  22 -> 30 [size =\"22753280\"]\n  22 -> 31 [size =\"22753280\"]\n  23 [size=\"53807787\", alpha=\"0.02\", expect_size=\"16142336\"] \n  23 -> 26 [size =\"16142336\"]\n  23 -> 27 [size =\"16142336\"]\n  23 -> 30 [size =\"16142336\"]\n  24 [size=\"151511040\", alpha=\"0.05\", expect_size=\"45453312\"] \n  24 -> 26 [size =\"45453312\"]\n  24 -> 29 [size =\"45453312\"]\n  24 -> 30 [size =\"45453312\"]\n  24 -> 32 [size =\"45453312\"]\n  25 [size=\"55978667\", alpha=\"0.02\", expect_size=\"16793600\"] \n  25 -> 28 [size =\"16793600\"]\n  26 [size=\"120545280\", alpha=\"0.15\", expect_size=\"36163584\"] \n  26 -> 34 [size =\"36163584\"]\n  26 -> 35 [size =\"36163584\"]\n  27 [size=\"69157547\", alpha=\"0.13\", expect_size=\"20747264\"] \n  27 -> 33 [size =\"20747264\"]\n  27 -> 34 [size =\"20747264\"]\n  27 -> 35 [size =\"20747264\"]\n  28 [size=\"46738773\", alpha=\"0.09\", expect_size=\"14021632\"] \n  28 -> 33 [size =\"14021632\"]\n  28 -> 34 [size =\"14021632\"]\n  29 [size=\"78714880\", alpha=\"0.02\", expect_size=\"23614464\"] \n  29 -> 34 [size =\"23614464\"]\n  29 -> 34 [size =\"23614464\"]\n  29 -> 35 [size =\"23614464\"]\n  30 [size=\"98331307\", alpha=\"0.19\", expect_size=\"29499392\"] \n  31 [size=\"48192853\", alpha=\"0.05\", expect_size=\"14457856\"] \n  32 [size=\"23149227\", alpha=\"0.00\", expect_size=\"6944768\"] \n  32 -> 35 [size =\"6944768\"]\n  33 [size=\"39400107\", alpha=\"0.10\", expect_size=\"11820032\"] \n  34 [size=\"51599360\", alpha=\"0.02\", expect_size=\"15479808\"] \n  35 [size=\"91402240\", alpha=\"0.17\", expect_size=\"27420672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38799360\", alpha=\"0.00\", expect_size=\"15519744\"] \n  1 -> 6 [size =\"15519744\"]\n  2 [size=\"122997760\", alpha=\"0.18\", expect_size=\"49199104\"] \n  2 -> 7 [size =\"49199104\"]\n  2 -> 9 [size =\"49199104\"]\n  3 [size=\"95792640\", alpha=\"0.04\", expect_size=\"38317056\"] \n  3 -> 7 [size =\"38317056\"]\n  3 -> 8 [size =\"38317056\"]\n  4 [size=\"41103360\", alpha=\"0.10\", expect_size=\"16441344\"] \n  4 -> 7 [size =\"16441344\"]\n  5 [size=\"110295040\", alpha=\"0.03\", expect_size=\"44118016\"] \n  6 [size=\"77452800\", alpha=\"0.10\", expect_size=\"30981120\"] \n  6 -> 12 [size =\"30981120\"]\n  6 -> 13 [size =\"30981120\"]\n  7 [size=\"36656640\", alpha=\"0.14\", expect_size=\"14662656\"] \n  7 -> 10 [size =\"14662656\"]\n  7 -> 13 [size =\"14662656\"]\n  8 [size=\"76928000\", alpha=\"0.09\", expect_size=\"30771200\"] \n  8 -> 10 [size =\"30771200\"]\n  8 -> 11 [size =\"30771200\"]\n  9 [size=\"113088000\", alpha=\"0.17\", expect_size=\"45235200\"] \n  9 -> 10 [size =\"45235200\"]\n  9 -> 11 [size =\"45235200\"]\n  10 [size=\"14988800\", alpha=\"0.11\", expect_size=\"5995520\"] \n  10 -> 14 [size =\"5995520\"]\n  10 -> 15 [size =\"5995520\"]\n  10 -> 16 [size =\"5995520\"]\n  11 [size=\"119923200\", alpha=\"0.04\", expect_size=\"47969280\"] \n  11 -> 15 [size =\"47969280\"]\n  11 -> 17 [size =\"47969280\"]\n  12 [size=\"121881600\", alpha=\"0.02\", expect_size=\"48752640\"] \n  12 -> 14 [size =\"48752640\"]\n  13 [size=\"108666880\", alpha=\"0.06\", expect_size=\"43466752\"] \n  14 [size=\"14883840\", alpha=\"0.19\", expect_size=\"5953536\"] \n  14 -> 20 [size =\"5953536\"]\n  14 -> 21 [size =\"5953536\"]\n  15 [size=\"71838720\", alpha=\"0.12\", expect_size=\"28735488\"] \n  15 -> 18 [size =\"28735488\"]\n  15 -> 19 [size =\"28735488\"]\n  15 -> 20 [size =\"28735488\"]\n  16 [size=\"92200960\", alpha=\"0.06\", expect_size=\"36880384\"] \n  16 -> 18 [size =\"36880384\"]\n  16 -> 19 [size =\"36880384\"]\n  16 -> 20 [size =\"36880384\"]\n  17 [size=\"35806720\", alpha=\"0.18\", expect_size=\"14322688\"] \n  17 -> 19 [size =\"14322688\"]\n  17 -> 21 [size =\"14322688\"]\n  18 [size=\"120363520\", alpha=\"0.20\", expect_size=\"48145408\"] \n  18 -> 23 [size =\"48145408\"]\n  18 -> 24 [size =\"48145408\"]\n  19 [size=\"55736320\", alpha=\"0.05\", expect_size=\"22294528\"] \n  19 -> 22 [size =\"22294528\"]\n  19 -> 23 [size =\"22294528\"]\n  20 [size=\"35568640\", alpha=\"0.12\", expect_size=\"14227456\"] \n  21 [size=\"98485760\", alpha=\"0.04\", expect_size=\"39394304\"] \n  21 -> 24 [size =\"39394304\"]\n  22 [size=\"123786240\", alpha=\"0.14\", expect_size=\"49514496\"] \n  22 -> 25 [size =\"49514496\"]\n  22 -> 26 [size =\"49514496\"]\n  22 -> 28 [size =\"49514496\"]\n  22 -> 29 [size =\"49514496\"]\n  23 [size=\"19740160\", alpha=\"0.18\", expect_size=\"7896064\"] \n  23 -> 26 [size =\"7896064\"]\n  23 -> 27 [size =\"7896064\"]\n  23 -> 29 [size =\"7896064\"]\n  24 [size=\"55319040\", alpha=\"0.06\", expect_size=\"22127616\"] \n  24 -> 28 [size =\"22127616\"]\n  25 [size=\"50992640\", alpha=\"0.12\", expect_size=\"20397056\"] \n  25 -> 32 [size =\"20397056\"]\n  25 -> 33 [size =\"20397056\"]\n  25 -> 34 [size =\"20397056\"]\n  26 [size=\"121108480\", alpha=\"0.08\", expect_size=\"48443392\"] \n  26 -> 30 [size =\"48443392\"]\n  26 -> 34 [size =\"48443392\"]\n  26 -> 35 [size =\"48443392\"]\n  27 [size=\"41154560\", alpha=\"0.08\", expect_size=\"16461824\"] \n  27 -> 31 [size =\"16461824\"]\n  27 -> 34 [size =\"16461824\"]\n  28 [size=\"29916160\", alpha=\"0.19\", expect_size=\"11966464\"] \n  28 -> 31 [size =\"11966464\"]\n  28 -> 34 [size =\"11966464\"]\n  29 [size=\"28948480\", alpha=\"0.07\", expect_size=\"11579392\"] \n  29 -> 32 [size =\"11579392\"]\n  30 [size=\"59860480\", alpha=\"0.15\", expect_size=\"23944192\"] \n  31 [size=\"14090240\", alpha=\"0.01\", expect_size=\"5636096\"] \n  32 [size=\"35299840\", alpha=\"0.06\", expect_size=\"14119936\"] \n  33 [size=\"115415040\", alpha=\"0.07\", expect_size=\"46166016\"] \n  34 [size=\"101194240\", alpha=\"0.08\", expect_size=\"40477696\"] \n  35 [size=\"20633600\", alpha=\"0.20\", expect_size=\"8253440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73783296\", alpha=\"0.13\", expect_size=\"36891648\"] \n  1 -> 2 [size =\"36891648\"]\n  2 [size=\"93229056\", alpha=\"0.18\", expect_size=\"46614528\"] \n  2 -> 3 [size =\"46614528\"]\n  3 [size=\"90011648\", alpha=\"0.14\", expect_size=\"45005824\"] \n  3 -> 4 [size =\"45005824\"]\n  4 [size=\"36497408\", alpha=\"0.13\", expect_size=\"18248704\"] \n  4 -> 5 [size =\"18248704\"]\n  5 [size=\"97296384\", alpha=\"0.13\", expect_size=\"48648192\"] \n  5 -> 6 [size =\"48648192\"]\n  6 [size=\"51087360\", alpha=\"0.06\", expect_size=\"25543680\"] \n  6 -> 7 [size =\"25543680\"]\n  7 [size=\"72579072\", alpha=\"0.16\", expect_size=\"36289536\"] \n  7 -> 8 [size =\"36289536\"]\n  8 [size=\"90226688\", alpha=\"0.15\", expect_size=\"45113344\"] \n  8 -> 9 [size =\"45113344\"]\n  9 [size=\"46319616\", alpha=\"0.09\", expect_size=\"23159808\"] \n  9 -> 10 [size =\"23159808\"]\n  10 [size=\"64438272\", alpha=\"0.10\", expect_size=\"32219136\"] \n  10 -> 11 [size =\"32219136\"]\n  11 [size=\"55748608\", alpha=\"0.19\", expect_size=\"27874304\"] \n  11 -> 12 [size =\"27874304\"]\n  12 [size=\"21760000\", alpha=\"0.11\", expect_size=\"10880000\"] \n  12 -> 13 [size =\"10880000\"]\n  13 [size=\"14059520\", alpha=\"0.00\", expect_size=\"7029760\"] \n  13 -> 14 [size =\"7029760\"]\n  14 [size=\"78258176\", alpha=\"0.14\", expect_size=\"39129088\"] \n  14 -> 15 [size =\"39129088\"]\n  15 [size=\"43266048\", alpha=\"0.18\", expect_size=\"21633024\"] \n  15 -> 16 [size =\"21633024\"]\n  16 [size=\"103127040\", alpha=\"0.15\", expect_size=\"51563520\"] \n  16 -> 17 [size =\"51563520\"]\n  17 [size=\"38756352\", alpha=\"0.08\", expect_size=\"19378176\"] \n  17 -> 18 [size =\"19378176\"]\n  18 [size=\"21245952\", alpha=\"0.19\", expect_size=\"10622976\"] \n  18 -> 19 [size =\"10622976\"]\n  19 [size=\"94363648\", alpha=\"0.07\", expect_size=\"47181824\"] \n  19 -> 20 [size =\"47181824\"]\n  20 [size=\"42987520\", alpha=\"0.01\", expect_size=\"21493760\"] \n  20 -> 21 [size =\"21493760\"]\n  21 [size=\"91185152\", alpha=\"0.08\", expect_size=\"45592576\"] \n  21 -> 22 [size =\"45592576\"]\n  22 [size=\"86890496\", alpha=\"0.13\", expect_size=\"43445248\"] \n  22 -> 23 [size =\"43445248\"]\n  23 [size=\"42315776\", alpha=\"0.14\", expect_size=\"21157888\"] \n  23 -> 24 [size =\"21157888\"]\n  24 [size=\"43401216\", alpha=\"0.01\", expect_size=\"21700608\"] \n  24 -> 25 [size =\"21700608\"]\n  25 [size=\"16291840\", alpha=\"0.07\", expect_size=\"8145920\"] \n  25 -> 26 [size =\"8145920\"]\n  26 [size=\"102035456\", alpha=\"0.01\", expect_size=\"51017728\"] \n  26 -> 27 [size =\"51017728\"]\n  27 [size=\"80476160\", alpha=\"0.08\", expect_size=\"40238080\"] \n  27 -> 28 [size =\"40238080\"]\n  28 [size=\"24532992\", alpha=\"0.12\", expect_size=\"12266496\"] \n  28 -> 29 [size =\"12266496\"]\n  29 [size=\"19425280\", alpha=\"0.04\", expect_size=\"9712640\"] \n  29 -> 30 [size =\"9712640\"]\n  30 [size=\"54401024\", alpha=\"0.07\", expect_size=\"27200512\"] \n  30 -> 31 [size =\"27200512\"]\n  31 [size=\"59684864\", alpha=\"0.20\", expect_size=\"29842432\"] \n  31 -> 32 [size =\"29842432\"]\n  32 [size=\"98578432\", alpha=\"0.15\", expect_size=\"49289216\"] \n  32 -> 33 [size =\"49289216\"]\n  33 [size=\"65079296\", alpha=\"0.11\", expect_size=\"32539648\"] \n  33 -> 34 [size =\"32539648\"]\n  34 [size=\"38717440\", alpha=\"0.01\", expect_size=\"19358720\"] \n  34 -> 35 [size =\"19358720\"]\n  35 [size=\"45504512\", alpha=\"0.18\", expect_size=\"22752256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84606976\", alpha=\"0.11\", expect_size=\"42303488\"] \n  1 -> 35 [size =\"42303488\"]\n  2 [size=\"12138496\", alpha=\"0.20\", expect_size=\"6069248\"] \n  3 [size=\"88244224\", alpha=\"0.11\", expect_size=\"44122112\"] \n  4 [size=\"81207296\", alpha=\"0.20\", expect_size=\"40603648\"] \n  4 -> 35 [size =\"40603648\"]\n  5 [size=\"27170816\", alpha=\"0.01\", expect_size=\"13585408\"] \n  6 [size=\"81915904\", alpha=\"0.16\", expect_size=\"40957952\"] \n  6 -> 35 [size =\"40957952\"]\n  7 [size=\"100872192\", alpha=\"0.01\", expect_size=\"50436096\"] \n  8 [size=\"83593216\", alpha=\"0.19\", expect_size=\"41796608\"] \n  9 [size=\"67448832\", alpha=\"0.08\", expect_size=\"33724416\"] \n  10 [size=\"24666112\", alpha=\"0.07\", expect_size=\"12333056\"] \n  11 [size=\"84062208\", alpha=\"0.17\", expect_size=\"42031104\"] \n  11 -> 35 [size =\"42031104\"]\n  12 [size=\"39968768\", alpha=\"0.06\", expect_size=\"19984384\"] \n  12 -> 35 [size =\"19984384\"]\n  13 [size=\"37654528\", alpha=\"0.13\", expect_size=\"18827264\"] \n  14 [size=\"87762944\", alpha=\"0.17\", expect_size=\"43881472\"] \n  15 [size=\"86489088\", alpha=\"0.19\", expect_size=\"43244544\"] \n  16 [size=\"92409856\", alpha=\"0.20\", expect_size=\"46204928\"] \n  16 -> 35 [size =\"46204928\"]\n  17 [size=\"73586688\", alpha=\"0.14\", expect_size=\"36793344\"] \n  18 [size=\"80365568\", alpha=\"0.08\", expect_size=\"40182784\"] \n  19 [size=\"77873152\", alpha=\"0.17\", expect_size=\"38936576\"] \n  19 -> 35 [size =\"38936576\"]\n  20 [size=\"20717568\", alpha=\"0.14\", expect_size=\"10358784\"] \n  20 -> 35 [size =\"10358784\"]\n  21 [size=\"53344256\", alpha=\"0.06\", expect_size=\"26672128\"] \n  21 -> 35 [size =\"26672128\"]\n  22 [size=\"40321024\", alpha=\"0.18\", expect_size=\"20160512\"] \n  23 [size=\"67434496\", alpha=\"0.06\", expect_size=\"33717248\"] \n  24 [size=\"33124352\", alpha=\"0.10\", expect_size=\"16562176\"] \n  25 [size=\"18104320\", alpha=\"0.17\", expect_size=\"9052160\"] \n  26 [size=\"12578816\", alpha=\"0.20\", expect_size=\"6289408\"] \n  27 [size=\"11313152\", alpha=\"0.01\", expect_size=\"5656576\"] \n  28 [size=\"79468544\", alpha=\"0.18\", expect_size=\"39734272\"] \n  29 [size=\"23216128\", alpha=\"0.08\", expect_size=\"11608064\"] \n  30 [size=\"10987520\", alpha=\"0.20\", expect_size=\"5493760\"] \n  31 [size=\"75175936\", alpha=\"0.07\", expect_size=\"37587968\"] \n  31 -> 35 [size =\"37587968\"]\n  32 [size=\"101163008\", alpha=\"0.01\", expect_size=\"50581504\"] \n  33 [size=\"90601472\", alpha=\"0.01\", expect_size=\"45300736\"] \n  33 -> 35 [size =\"45300736\"]\n  34 [size=\"26875904\", alpha=\"0.17\", expect_size=\"13437952\"] \n  35 [size=\"75085824\", alpha=\"0.09\", expect_size=\"37542912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115060053\", alpha=\"0.01\", expect_size=\"34518016\"] \n  1 -> 2 [size =\"34518016\"]\n  2 [size=\"46411093\", alpha=\"0.11\", expect_size=\"13923328\"] \n  2 -> 3 [size =\"13923328\"]\n  3 [size=\"132519253\", alpha=\"0.11\", expect_size=\"39755776\"] \n  3 -> 4 [size =\"39755776\"]\n  4 [size=\"146203307\", alpha=\"0.11\", expect_size=\"43860992\"] \n  4 -> 5 [size =\"43860992\"]\n  5 [size=\"133952853\", alpha=\"0.20\", expect_size=\"40185856\"] \n  5 -> 6 [size =\"40185856\"]\n  6 [size=\"152726187\", alpha=\"0.06\", expect_size=\"45817856\"] \n  6 -> 7 [size =\"45817856\"]\n  7 [size=\"69563733\", alpha=\"0.19\", expect_size=\"20869120\"] \n  7 -> 8 [size =\"20869120\"]\n  8 [size=\"57658027\", alpha=\"0.05\", expect_size=\"17297408\"] \n  8 -> 9 [size =\"17297408\"]\n  9 [size=\"68549973\", alpha=\"0.16\", expect_size=\"20564992\"] \n  9 -> 10 [size =\"20564992\"]\n  10 [size=\"26791253\", alpha=\"0.04\", expect_size=\"8037376\"] \n  10 -> 11 [size =\"8037376\"]\n  11 [size=\"166359040\", alpha=\"0.11\", expect_size=\"49907712\"] \n  11 -> 12 [size =\"49907712\"]\n  12 [size=\"171100160\", alpha=\"0.17\", expect_size=\"51330048\"] \n  12 -> 13 [size =\"51330048\"]\n  13 [size=\"99218773\", alpha=\"0.14\", expect_size=\"29765632\"] \n  13 -> 14 [size =\"29765632\"]\n  14 [size=\"27347627\", alpha=\"0.15\", expect_size=\"8204288\"] \n  14 -> 15 [size =\"8204288\"]\n  15 [size=\"114565120\", alpha=\"0.11\", expect_size=\"34369536\"] \n  15 -> 16 [size =\"34369536\"]\n  16 [size=\"110772907\", alpha=\"0.08\", expect_size=\"33231872\"] \n  16 -> 17 [size =\"33231872\"]\n  17 [size=\"159170560\", alpha=\"0.06\", expect_size=\"47751168\"] \n  17 -> 18 [size =\"47751168\"]\n  18 [size=\"148794027\", alpha=\"0.14\", expect_size=\"44638208\"] \n  18 -> 19 [size =\"44638208\"]\n  19 [size=\"34607787\", alpha=\"0.18\", expect_size=\"10382336\"] \n  19 -> 20 [size =\"10382336\"]\n  20 [size=\"159668907\", alpha=\"0.06\", expect_size=\"47900672\"] \n  20 -> 21 [size =\"47900672\"]\n  21 [size=\"34331307\", alpha=\"0.06\", expect_size=\"10299392\"] \n  21 -> 22 [size =\"10299392\"]\n  22 [size=\"123340800\", alpha=\"0.10\", expect_size=\"37002240\"] \n  22 -> 23 [size =\"37002240\"]\n  23 [size=\"101133653\", alpha=\"0.09\", expect_size=\"30340096\"] \n  23 -> 24 [size =\"30340096\"]\n  24 [size=\"56985600\", alpha=\"0.04\", expect_size=\"17095680\"] \n  24 -> 25 [size =\"17095680\"]\n  25 [size=\"172380160\", alpha=\"0.14\", expect_size=\"51714048\"] \n  25 -> 26 [size =\"51714048\"]\n  26 [size=\"97904640\", alpha=\"0.01\", expect_size=\"29371392\"] \n  26 -> 27 [size =\"29371392\"]\n  27 [size=\"163031040\", alpha=\"0.15\", expect_size=\"48909312\"] \n  27 -> 28 [size =\"48909312\"]\n  28 [size=\"54483627\", alpha=\"0.13\", expect_size=\"16345088\"] \n  28 -> 29 [size =\"16345088\"]\n  29 [size=\"167598080\", alpha=\"0.19\", expect_size=\"50279424\"] \n  29 -> 30 [size =\"50279424\"]\n  30 [size=\"151166293\", alpha=\"0.05\", expect_size=\"45349888\"] \n  30 -> 31 [size =\"45349888\"]\n  31 [size=\"39980373\", alpha=\"0.10\", expect_size=\"11994112\"] \n  31 -> 32 [size =\"11994112\"]\n  32 [size=\"88917333\", alpha=\"0.15\", expect_size=\"26675200\"] \n  32 -> 33 [size =\"26675200\"]\n  33 [size=\"169625600\", alpha=\"0.11\", expect_size=\"50887680\"] \n  33 -> 34 [size =\"50887680\"]\n  34 [size=\"82575360\", alpha=\"0.07\", expect_size=\"24772608\"] \n  34 -> 35 [size =\"24772608\"]\n  35 [size=\"113783467\", alpha=\"0.16\", expect_size=\"34135040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15693824\", alpha=\"0.02\", expect_size=\"7846912\"] \n  1 -> 8 [size =\"7846912\"]\n  2 [size=\"96190464\", alpha=\"0.14\", expect_size=\"48095232\"] \n  2 -> 6 [size =\"48095232\"]\n  2 -> 7 [size =\"48095232\"]\n  2 -> 9 [size =\"48095232\"]\n  3 [size=\"72460288\", alpha=\"0.06\", expect_size=\"36230144\"] \n  4 [size=\"41641984\", alpha=\"0.19\", expect_size=\"20820992\"] \n  4 -> 9 [size =\"20820992\"]\n  5 [size=\"82827264\", alpha=\"0.08\", expect_size=\"41413632\"] \n  5 -> 8 [size =\"41413632\"]\n  6 [size=\"37120000\", alpha=\"0.08\", expect_size=\"18560000\"] \n  6 -> 10 [size =\"18560000\"]\n  6 -> 11 [size =\"18560000\"]\n  7 [size=\"54849536\", alpha=\"0.16\", expect_size=\"27424768\"] \n  7 -> 10 [size =\"27424768\"]\n  7 -> 11 [size =\"27424768\"]\n  7 -> 12 [size =\"27424768\"]\n  7 -> 13 [size =\"27424768\"]\n  7 -> 14 [size =\"27424768\"]\n  8 [size=\"99018752\", alpha=\"0.14\", expect_size=\"49509376\"] \n  8 -> 11 [size =\"49509376\"]\n  9 [size=\"31787008\", alpha=\"0.20\", expect_size=\"15893504\"] \n  9 -> 13 [size =\"15893504\"]\n  10 [size=\"57815040\", alpha=\"0.07\", expect_size=\"28907520\"] \n  11 [size=\"26066944\", alpha=\"0.01\", expect_size=\"13033472\"] \n  11 -> 15 [size =\"13033472\"]\n  11 -> 16 [size =\"13033472\"]\n  12 [size=\"33445888\", alpha=\"0.17\", expect_size=\"16722944\"] \n  13 [size=\"99926016\", alpha=\"0.06\", expect_size=\"49963008\"] \n  13 -> 15 [size =\"49963008\"]\n  13 -> 17 [size =\"49963008\"]\n  14 [size=\"34041856\", alpha=\"0.03\", expect_size=\"17020928\"] \n  14 -> 18 [size =\"17020928\"]\n  15 [size=\"30527488\", alpha=\"0.02\", expect_size=\"15263744\"] \n  15 -> 20 [size =\"15263744\"]\n  16 [size=\"68319232\", alpha=\"0.05\", expect_size=\"34159616\"] \n  16 -> 21 [size =\"34159616\"]\n  16 -> 22 [size =\"34159616\"]\n  17 [size=\"12752896\", alpha=\"0.00\", expect_size=\"6376448\"] \n  17 -> 19 [size =\"6376448\"]\n  17 -> 21 [size =\"6376448\"]\n  17 -> 22 [size =\"6376448\"]\n  18 [size=\"87148544\", alpha=\"0.16\", expect_size=\"43574272\"] \n  19 [size=\"56692736\", alpha=\"0.02\", expect_size=\"28346368\"] \n  19 -> 25 [size =\"28346368\"]\n  20 [size=\"54695936\", alpha=\"0.17\", expect_size=\"27347968\"] \n  20 -> 23 [size =\"27347968\"]\n  20 -> 24 [size =\"27347968\"]\n  21 [size=\"88115200\", alpha=\"0.12\", expect_size=\"44057600\"] \n  21 -> 23 [size =\"44057600\"]\n  21 -> 25 [size =\"44057600\"]\n  21 -> 26 [size =\"44057600\"]\n  22 [size=\"92741632\", alpha=\"0.06\", expect_size=\"46370816\"] \n  22 -> 23 [size =\"46370816\"]\n  23 [size=\"80220160\", alpha=\"0.12\", expect_size=\"40110080\"] \n  23 -> 27 [size =\"40110080\"]\n  23 -> 28 [size =\"40110080\"]\n  24 [size=\"15765504\", alpha=\"0.06\", expect_size=\"7882752\"] \n  24 -> 30 [size =\"7882752\"]\n  25 [size=\"29739008\", alpha=\"0.14\", expect_size=\"14869504\"] \n  25 -> 29 [size =\"14869504\"]\n  26 [size=\"40744960\", alpha=\"0.08\", expect_size=\"20372480\"] \n  27 [size=\"63062016\", alpha=\"0.12\", expect_size=\"31531008\"] \n  28 [size=\"63911936\", alpha=\"0.14\", expect_size=\"31955968\"] \n  29 [size=\"46194688\", alpha=\"0.01\", expect_size=\"23097344\"] \n  29 -> 32 [size =\"23097344\"]\n  29 -> 33 [size =\"23097344\"]\n  29 -> 34 [size =\"23097344\"]\n  29 -> 35 [size =\"23097344\"]\n  30 [size=\"57309184\", alpha=\"0.18\", expect_size=\"28654592\"] \n  30 -> 31 [size =\"28654592\"]\n  31 [size=\"41435136\", alpha=\"0.19\", expect_size=\"20717568\"] \n  32 [size=\"98150400\", alpha=\"0.04\", expect_size=\"49075200\"] \n  33 [size=\"30046208\", alpha=\"0.08\", expect_size=\"15023104\"] \n  34 [size=\"87842816\", alpha=\"0.17\", expect_size=\"43921408\"] \n  35 [size=\"19578880\", alpha=\"0.10\", expect_size=\"9789440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64081920\", alpha=\"0.02\", expect_size=\"19224576\"] \n  1 -> 2 [size =\"19224576\"]\n  2 [size=\"24541867\", alpha=\"0.19\", expect_size=\"7362560\"] \n  2 -> 3 [size =\"7362560\"]\n  3 [size=\"38857387\", alpha=\"0.01\", expect_size=\"11657216\"] \n  3 -> 4 [size =\"11657216\"]\n  4 [size=\"86135467\", alpha=\"0.08\", expect_size=\"25840640\"] \n  4 -> 5 [size =\"25840640\"]\n  5 [size=\"32037547\", alpha=\"0.12\", expect_size=\"9611264\"] \n  5 -> 6 [size =\"9611264\"]\n  6 [size=\"75362987\", alpha=\"0.13\", expect_size=\"22608896\"] \n  6 -> 7 [size =\"22608896\"]\n  7 [size=\"42762240\", alpha=\"0.15\", expect_size=\"12828672\"] \n  7 -> 8 [size =\"12828672\"]\n  8 [size=\"19715413\", alpha=\"0.07\", expect_size=\"5914624\"] \n  8 -> 9 [size =\"5914624\"]\n  9 [size=\"169683627\", alpha=\"0.18\", expect_size=\"50905088\"] \n  9 -> 10 [size =\"50905088\"]\n  10 [size=\"21002240\", alpha=\"0.10\", expect_size=\"6300672\"] \n  10 -> 11 [size =\"6300672\"]\n  11 [size=\"98245973\", alpha=\"0.09\", expect_size=\"29473792\"] \n  11 -> 12 [size =\"29473792\"]\n  12 [size=\"111124480\", alpha=\"0.11\", expect_size=\"33337344\"] \n  12 -> 13 [size =\"33337344\"]\n  13 [size=\"101410133\", alpha=\"0.08\", expect_size=\"30423040\"] \n  13 -> 14 [size =\"30423040\"]\n  14 [size=\"109219840\", alpha=\"0.07\", expect_size=\"32765952\"] \n  14 -> 15 [size =\"32765952\"]\n  15 [size=\"173274453\", alpha=\"0.14\", expect_size=\"51982336\"] \n  15 -> 16 [size =\"51982336\"]\n  16 [size=\"112128000\", alpha=\"0.08\", expect_size=\"33638400\"] \n  16 -> 17 [size =\"33638400\"]\n  17 [size=\"60566187\", alpha=\"0.03\", expect_size=\"18169856\"] \n  17 -> 18 [size =\"18169856\"]\n  18 [size=\"18438827\", alpha=\"0.05\", expect_size=\"5531648\"] \n  18 -> 19 [size =\"5531648\"]\n  19 [size=\"77124267\", alpha=\"0.08\", expect_size=\"23137280\"] \n  19 -> 20 [size =\"23137280\"]\n  20 [size=\"58504533\", alpha=\"0.14\", expect_size=\"17551360\"] \n  20 -> 21 [size =\"17551360\"]\n  21 [size=\"136014507\", alpha=\"0.06\", expect_size=\"40804352\"] \n  21 -> 22 [size =\"40804352\"]\n  22 [size=\"49254400\", alpha=\"0.19\", expect_size=\"14776320\"] \n  22 -> 23 [size =\"14776320\"]\n  23 [size=\"137885013\", alpha=\"0.14\", expect_size=\"41365504\"] \n  23 -> 24 [size =\"41365504\"]\n  24 [size=\"43963733\", alpha=\"0.19\", expect_size=\"13189120\"] \n  24 -> 25 [size =\"13189120\"]\n  25 [size=\"102662827\", alpha=\"0.05\", expect_size=\"30798848\"] \n  25 -> 26 [size =\"30798848\"]\n  26 [size=\"54186667\", alpha=\"0.19\", expect_size=\"16256000\"] \n  26 -> 27 [size =\"16256000\"]\n  27 [size=\"118606507\", alpha=\"0.15\", expect_size=\"35581952\"] \n  27 -> 28 [size =\"35581952\"]\n  28 [size=\"140257280\", alpha=\"0.12\", expect_size=\"42077184\"] \n  28 -> 29 [size =\"42077184\"]\n  29 [size=\"20534613\", alpha=\"0.09\", expect_size=\"6160384\"] \n  29 -> 30 [size =\"6160384\"]\n  30 [size=\"81302187\", alpha=\"0.06\", expect_size=\"24390656\"] \n  30 -> 31 [size =\"24390656\"]\n  31 [size=\"32634880\", alpha=\"0.13\", expect_size=\"9790464\"] \n  31 -> 32 [size =\"9790464\"]\n  32 [size=\"78417920\", alpha=\"0.12\", expect_size=\"23525376\"] \n  32 -> 33 [size =\"23525376\"]\n  33 [size=\"68440747\", alpha=\"0.02\", expect_size=\"20532224\"] \n  33 -> 34 [size =\"20532224\"]\n  34 [size=\"24081067\", alpha=\"0.03\", expect_size=\"7224320\"] \n  34 -> 35 [size =\"7224320\"]\n  35 [size=\"171287893\", alpha=\"0.04\", expect_size=\"51386368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36145152\", alpha=\"0.12\", expect_size=\"18072576\"] \n  1 -> 8 [size =\"18072576\"]\n  1 -> 10 [size =\"18072576\"]\n  2 [size=\"62367744\", alpha=\"0.18\", expect_size=\"31183872\"] \n  2 -> 5 [size =\"31183872\"]\n  2 -> 6 [size =\"31183872\"]\n  2 -> 7 [size =\"31183872\"]\n  2 -> 8 [size =\"31183872\"]\n  2 -> 9 [size =\"31183872\"]\n  2 -> 10 [size =\"31183872\"]\n  3 [size=\"68646912\", alpha=\"0.00\", expect_size=\"34323456\"] \n  3 -> 5 [size =\"34323456\"]\n  3 -> 7 [size =\"34323456\"]\n  3 -> 8 [size =\"34323456\"]\n  3 -> 11 [size =\"34323456\"]\n  4 [size=\"46301184\", alpha=\"0.12\", expect_size=\"23150592\"] \n  4 -> 5 [size =\"23150592\"]\n  4 -> 7 [size =\"23150592\"]\n  5 [size=\"14950400\", alpha=\"0.14\", expect_size=\"7475200\"] \n  5 -> 14 [size =\"7475200\"]\n  5 -> 15 [size =\"7475200\"]\n  6 [size=\"34732032\", alpha=\"0.06\", expect_size=\"17366016\"] \n  6 -> 14 [size =\"17366016\"]\n  6 -> 15 [size =\"17366016\"]\n  6 -> 16 [size =\"17366016\"]\n  7 [size=\"38621184\", alpha=\"0.03\", expect_size=\"19310592\"] \n  7 -> 15 [size =\"19310592\"]\n  7 -> 15 [size =\"19310592\"]\n  8 [size=\"27572224\", alpha=\"0.09\", expect_size=\"13786112\"] \n  8 -> 12 [size =\"13786112\"]\n  8 -> 14 [size =\"13786112\"]\n  8 -> 15 [size =\"13786112\"]\n  8 -> 16 [size =\"13786112\"]\n  8 -> 17 [size =\"13786112\"]\n  9 [size=\"21751808\", alpha=\"0.01\", expect_size=\"10875904\"] \n  9 -> 12 [size =\"10875904\"]\n  9 -> 14 [size =\"10875904\"]\n  9 -> 16 [size =\"10875904\"]\n  10 [size=\"22700032\", alpha=\"0.17\", expect_size=\"11350016\"] \n  10 -> 12 [size =\"11350016\"]\n  10 -> 13 [size =\"11350016\"]\n  10 -> 16 [size =\"11350016\"]\n  10 -> 17 [size =\"11350016\"]\n  11 [size=\"102119424\", alpha=\"0.18\", expect_size=\"51059712\"] \n  12 [size=\"65648640\", alpha=\"0.06\", expect_size=\"32824320\"] \n  12 -> 21 [size =\"32824320\"]\n  12 -> 22 [size =\"32824320\"]\n  13 [size=\"57018368\", alpha=\"0.12\", expect_size=\"28509184\"] \n  13 -> 19 [size =\"28509184\"]\n  13 -> 22 [size =\"28509184\"]\n  14 [size=\"59344896\", alpha=\"0.04\", expect_size=\"29672448\"] \n  14 -> 18 [size =\"29672448\"]\n  14 -> 21 [size =\"29672448\"]\n  15 [size=\"22134784\", alpha=\"0.07\", expect_size=\"11067392\"] \n  15 -> 18 [size =\"11067392\"]\n  15 -> 20 [size =\"11067392\"]\n  16 [size=\"88786944\", alpha=\"0.18\", expect_size=\"44393472\"] \n  16 -> 18 [size =\"44393472\"]\n  16 -> 19 [size =\"44393472\"]\n  16 -> 21 [size =\"44393472\"]\n  16 -> 22 [size =\"44393472\"]\n  17 [size=\"24766464\", alpha=\"0.18\", expect_size=\"12383232\"] \n  17 -> 18 [size =\"12383232\"]\n  17 -> 19 [size =\"12383232\"]\n  17 -> 21 [size =\"12383232\"]\n  18 [size=\"38907904\", alpha=\"0.03\", expect_size=\"19453952\"] \n  18 -> 24 [size =\"19453952\"]\n  19 [size=\"83253248\", alpha=\"0.03\", expect_size=\"41626624\"] \n  19 -> 24 [size =\"41626624\"]\n  20 [size=\"87863296\", alpha=\"0.07\", expect_size=\"43931648\"] \n  20 -> 23 [size =\"43931648\"]\n  21 [size=\"75057152\", alpha=\"0.18\", expect_size=\"37528576\"] \n  21 -> 23 [size =\"37528576\"]\n  21 -> 24 [size =\"37528576\"]\n  22 [size=\"64962560\", alpha=\"0.19\", expect_size=\"32481280\"] \n  22 -> 23 [size =\"32481280\"]\n  22 -> 24 [size =\"32481280\"]\n  23 [size=\"94265344\", alpha=\"0.13\", expect_size=\"47132672\"] \n  23 -> 26 [size =\"47132672\"]\n  23 -> 27 [size =\"47132672\"]\n  24 [size=\"55691264\", alpha=\"0.14\", expect_size=\"27845632\"] \n  24 -> 25 [size =\"27845632\"]\n  24 -> 27 [size =\"27845632\"]\n  25 [size=\"73256960\", alpha=\"0.16\", expect_size=\"36628480\"] \n  25 -> 28 [size =\"36628480\"]\n  25 -> 30 [size =\"36628480\"]\n  25 -> 31 [size =\"36628480\"]\n  25 -> 32 [size =\"36628480\"]\n  25 -> 33 [size =\"36628480\"]\n  26 [size=\"12922880\", alpha=\"0.03\", expect_size=\"6461440\"] \n  26 -> 32 [size =\"6461440\"]\n  27 [size=\"96501760\", alpha=\"0.17\", expect_size=\"48250880\"] \n  27 -> 28 [size =\"48250880\"]\n  27 -> 29 [size =\"48250880\"]\n  27 -> 31 [size =\"48250880\"]\n  28 [size=\"89344000\", alpha=\"0.14\", expect_size=\"44672000\"] \n  28 -> 35 [size =\"44672000\"]\n  29 [size=\"11218944\", alpha=\"0.13\", expect_size=\"5609472\"] \n  29 -> 34 [size =\"5609472\"]\n  29 -> 35 [size =\"5609472\"]\n  30 [size=\"23400448\", alpha=\"0.15\", expect_size=\"11700224\"] \n  30 -> 34 [size =\"11700224\"]\n  31 [size=\"58617856\", alpha=\"0.16\", expect_size=\"29308928\"] \n  31 -> 34 [size =\"29308928\"]\n  32 [size=\"48158720\", alpha=\"0.09\", expect_size=\"24079360\"] \n  32 -> 34 [size =\"24079360\"]\n  32 -> 35 [size =\"24079360\"]\n  33 [size=\"43905024\", alpha=\"0.12\", expect_size=\"21952512\"] \n  33 -> 35 [size =\"21952512\"]\n  33 -> 35 [size =\"21952512\"]\n  34 [size=\"104022016\", alpha=\"0.05\", expect_size=\"52011008\"] \n  35 [size=\"75579392\", alpha=\"0.01\", expect_size=\"37789696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93286400\", alpha=\"0.11\", expect_size=\"46643200\"] \n  1 -> 11 [size =\"46643200\"]\n  1 -> 13 [size =\"46643200\"]\n  1 -> 13 [size =\"46643200\"]\n  1 -> 14 [size =\"46643200\"]\n  1 -> 15 [size =\"46643200\"]\n  1 -> 16 [size =\"46643200\"]\n  1 -> 18 [size =\"46643200\"]\n  2 [size=\"51138560\", alpha=\"0.04\", expect_size=\"25569280\"] \n  2 -> 11 [size =\"25569280\"]\n  2 -> 12 [size =\"25569280\"]\n  2 -> 14 [size =\"25569280\"]\n  2 -> 16 [size =\"25569280\"]\n  2 -> 17 [size =\"25569280\"]\n  2 -> 18 [size =\"25569280\"]\n  2 -> 18 [size =\"25569280\"]\n  3 [size=\"22900736\", alpha=\"0.14\", expect_size=\"11450368\"] \n  3 -> 9 [size =\"11450368\"]\n  3 -> 11 [size =\"11450368\"]\n  3 -> 13 [size =\"11450368\"]\n  3 -> 14 [size =\"11450368\"]\n  3 -> 15 [size =\"11450368\"]\n  3 -> 16 [size =\"11450368\"]\n  3 -> 18 [size =\"11450368\"]\n  4 [size=\"58724352\", alpha=\"0.04\", expect_size=\"29362176\"] \n  4 -> 9 [size =\"29362176\"]\n  4 -> 13 [size =\"29362176\"]\n  4 -> 14 [size =\"29362176\"]\n  4 -> 15 [size =\"29362176\"]\n  4 -> 18 [size =\"29362176\"]\n  5 [size=\"94187520\", alpha=\"0.10\", expect_size=\"47093760\"] \n  5 -> 13 [size =\"47093760\"]\n  5 -> 17 [size =\"47093760\"]\n  6 [size=\"98113536\", alpha=\"0.06\", expect_size=\"49056768\"] \n  6 -> 12 [size =\"49056768\"]\n  6 -> 14 [size =\"49056768\"]\n  6 -> 15 [size =\"49056768\"]\n  6 -> 17 [size =\"49056768\"]\n  7 [size=\"20981760\", alpha=\"0.20\", expect_size=\"10490880\"] \n  7 -> 9 [size =\"10490880\"]\n  7 -> 11 [size =\"10490880\"]\n  7 -> 12 [size =\"10490880\"]\n  7 -> 15 [size =\"10490880\"]\n  7 -> 16 [size =\"10490880\"]\n  8 [size=\"36890624\", alpha=\"0.19\", expect_size=\"18445312\"] \n  8 -> 9 [size =\"18445312\"]\n  8 -> 10 [size =\"18445312\"]\n  8 -> 13 [size =\"18445312\"]\n  8 -> 15 [size =\"18445312\"]\n  8 -> 16 [size =\"18445312\"]\n  9 [size=\"42088448\", alpha=\"0.10\", expect_size=\"21044224\"] \n  9 -> 19 [size =\"21044224\"]\n  9 -> 23 [size =\"21044224\"]\n  9 -> 26 [size =\"21044224\"]\n  9 -> 27 [size =\"21044224\"]\n  10 [size=\"45611008\", alpha=\"0.16\", expect_size=\"22805504\"] \n  10 -> 20 [size =\"22805504\"]\n  10 -> 21 [size =\"22805504\"]\n  10 -> 23 [size =\"22805504\"]\n  10 -> 25 [size =\"22805504\"]\n  10 -> 27 [size =\"22805504\"]\n  11 [size=\"66359296\", alpha=\"0.11\", expect_size=\"33179648\"] \n  11 -> 20 [size =\"33179648\"]\n  11 -> 23 [size =\"33179648\"]\n  11 -> 23 [size =\"33179648\"]\n  11 -> 24 [size =\"33179648\"]\n  11 -> 25 [size =\"33179648\"]\n  11 -> 26 [size =\"33179648\"]\n  11 -> 27 [size =\"33179648\"]\n  12 [size=\"22802432\", alpha=\"0.08\", expect_size=\"11401216\"] \n  12 -> 20 [size =\"11401216\"]\n  12 -> 23 [size =\"11401216\"]\n  12 -> 24 [size =\"11401216\"]\n  12 -> 26 [size =\"11401216\"]\n  12 -> 28 [size =\"11401216\"]\n  13 [size=\"41611264\", alpha=\"0.16\", expect_size=\"20805632\"] \n  13 -> 20 [size =\"20805632\"]\n  13 -> 21 [size =\"20805632\"]\n  13 -> 24 [size =\"20805632\"]\n  13 -> 25 [size =\"20805632\"]\n  13 -> 26 [size =\"20805632\"]\n  13 -> 27 [size =\"20805632\"]\n  14 [size=\"15345664\", alpha=\"0.08\", expect_size=\"7672832\"] \n  14 -> 23 [size =\"7672832\"]\n  14 -> 25 [size =\"7672832\"]\n  15 [size=\"34410496\", alpha=\"0.06\", expect_size=\"17205248\"] \n  16 [size=\"80074752\", alpha=\"0.20\", expect_size=\"40037376\"] \n  16 -> 20 [size =\"40037376\"]\n  16 -> 24 [size =\"40037376\"]\n  16 -> 25 [size =\"40037376\"]\n  16 -> 27 [size =\"40037376\"]\n  17 [size=\"12705792\", alpha=\"0.10\", expect_size=\"6352896\"] \n  17 -> 22 [size =\"6352896\"]\n  17 -> 23 [size =\"6352896\"]\n  17 -> 26 [size =\"6352896\"]\n  18 [size=\"11569152\", alpha=\"0.04\", expect_size=\"5784576\"] \n  18 -> 20 [size =\"5784576\"]\n  18 -> 21 [size =\"5784576\"]\n  18 -> 26 [size =\"5784576\"]\n  18 -> 27 [size =\"5784576\"]\n  19 [size=\"99710976\", alpha=\"0.00\", expect_size=\"49855488\"] \n  19 -> 29 [size =\"49855488\"]\n  19 -> 30 [size =\"49855488\"]\n  19 -> 32 [size =\"49855488\"]\n  19 -> 35 [size =\"49855488\"]\n  20 [size=\"51130368\", alpha=\"0.02\", expect_size=\"25565184\"] \n  20 -> 29 [size =\"25565184\"]\n  20 -> 35 [size =\"25565184\"]\n  21 [size=\"32266240\", alpha=\"0.01\", expect_size=\"16133120\"] \n  21 -> 32 [size =\"16133120\"]\n  21 -> 34 [size =\"16133120\"]\n  21 -> 35 [size =\"16133120\"]\n  22 [size=\"82245632\", alpha=\"0.08\", expect_size=\"41122816\"] \n  22 -> 32 [size =\"41122816\"]\n  22 -> 33 [size =\"41122816\"]\n  22 -> 34 [size =\"41122816\"]\n  23 [size=\"26861568\", alpha=\"0.18\", expect_size=\"13430784\"] \n  23 -> 30 [size =\"13430784\"]\n  23 -> 34 [size =\"13430784\"]\n  24 [size=\"101156864\", alpha=\"0.19\", expect_size=\"50578432\"] \n  24 -> 29 [size =\"50578432\"]\n  24 -> 30 [size =\"50578432\"]\n  24 -> 31 [size =\"50578432\"]\n  24 -> 33 [size =\"50578432\"]\n  24 -> 34 [size =\"50578432\"]\n  25 [size=\"43335680\", alpha=\"0.17\", expect_size=\"21667840\"] \n  25 -> 32 [size =\"21667840\"]\n  25 -> 35 [size =\"21667840\"]\n  26 [size=\"71237632\", alpha=\"0.14\", expect_size=\"35618816\"] \n  26 -> 31 [size =\"35618816\"]\n  26 -> 35 [size =\"35618816\"]\n  27 [size=\"70084608\", alpha=\"0.13\", expect_size=\"35042304\"] \n  28 [size=\"21647360\", alpha=\"0.17\", expect_size=\"10823680\"] \n  28 -> 31 [size =\"10823680\"]\n  28 -> 34 [size =\"10823680\"]\n  29 [size=\"40878080\", alpha=\"0.09\", expect_size=\"20439040\"] \n  30 [size=\"41957376\", alpha=\"0.07\", expect_size=\"20978688\"] \n  31 [size=\"49778688\", alpha=\"0.18\", expect_size=\"24889344\"] \n  32 [size=\"52774912\", alpha=\"0.11\", expect_size=\"26387456\"] \n  33 [size=\"91600896\", alpha=\"0.11\", expect_size=\"45800448\"] \n  34 [size=\"84301824\", alpha=\"0.12\", expect_size=\"42150912\"] \n  35 [size=\"79114240\", alpha=\"0.18\", expect_size=\"39557120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55221760\", alpha=\"0.13\", expect_size=\"22088704\"] \n  1 -> 16 [size =\"22088704\"]\n  1 -> 18 [size =\"22088704\"]\n  1 -> 22 [size =\"22088704\"]\n  1 -> 23 [size =\"22088704\"]\n  1 -> 27 [size =\"22088704\"]\n  2 [size=\"102392320\", alpha=\"0.20\", expect_size=\"40956928\"] \n  2 -> 16 [size =\"40956928\"]\n  2 -> 17 [size =\"40956928\"]\n  2 -> 18 [size =\"40956928\"]\n  2 -> 19 [size =\"40956928\"]\n  2 -> 20 [size =\"40956928\"]\n  2 -> 22 [size =\"40956928\"]\n  2 -> 24 [size =\"40956928\"]\n  2 -> 27 [size =\"40956928\"]\n  2 -> 28 [size =\"40956928\"]\n  3 [size=\"56097280\", alpha=\"0.04\", expect_size=\"22438912\"] \n  3 -> 16 [size =\"22438912\"]\n  3 -> 18 [size =\"22438912\"]\n  3 -> 19 [size =\"22438912\"]\n  3 -> 20 [size =\"22438912\"]\n  3 -> 21 [size =\"22438912\"]\n  3 -> 22 [size =\"22438912\"]\n  3 -> 26 [size =\"22438912\"]\n  3 -> 27 [size =\"22438912\"]\n  4 [size=\"74373120\", alpha=\"0.12\", expect_size=\"29749248\"] \n  4 -> 18 [size =\"29749248\"]\n  4 -> 20 [size =\"29749248\"]\n  4 -> 21 [size =\"29749248\"]\n  4 -> 22 [size =\"29749248\"]\n  4 -> 23 [size =\"29749248\"]\n  4 -> 25 [size =\"29749248\"]\n  4 -> 26 [size =\"29749248\"]\n  4 -> 27 [size =\"29749248\"]\n  5 [size=\"85724160\", alpha=\"0.09\", expect_size=\"34289664\"] \n  5 -> 18 [size =\"34289664\"]\n  5 -> 21 [size =\"34289664\"]\n  5 -> 23 [size =\"34289664\"]\n  5 -> 25 [size =\"34289664\"]\n  5 -> 26 [size =\"34289664\"]\n  5 -> 27 [size =\"34289664\"]\n  6 [size=\"56017920\", alpha=\"0.17\", expect_size=\"22407168\"] \n  6 -> 16 [size =\"22407168\"]\n  7 [size=\"117749760\", alpha=\"0.15\", expect_size=\"47099904\"] \n  7 -> 16 [size =\"47099904\"]\n  7 -> 21 [size =\"47099904\"]\n  7 -> 22 [size =\"47099904\"]\n  7 -> 25 [size =\"47099904\"]\n  8 [size=\"64832000\", alpha=\"0.03\", expect_size=\"25932800\"] \n  8 -> 16 [size =\"25932800\"]\n  8 -> 18 [size =\"25932800\"]\n  8 -> 21 [size =\"25932800\"]\n  8 -> 25 [size =\"25932800\"]\n  8 -> 27 [size =\"25932800\"]\n  8 -> 28 [size =\"25932800\"]\n  9 [size=\"109250560\", alpha=\"0.09\", expect_size=\"43700224\"] \n  9 -> 16 [size =\"43700224\"]\n  9 -> 20 [size =\"43700224\"]\n  9 -> 21 [size =\"43700224\"]\n  9 -> 28 [size =\"43700224\"]\n  10 [size=\"37376000\", alpha=\"0.00\", expect_size=\"14950400\"] \n  10 -> 17 [size =\"14950400\"]\n  10 -> 18 [size =\"14950400\"]\n  10 -> 20 [size =\"14950400\"]\n  10 -> 21 [size =\"14950400\"]\n  10 -> 22 [size =\"14950400\"]\n  10 -> 26 [size =\"14950400\"]\n  10 -> 27 [size =\"14950400\"]\n  10 -> 28 [size =\"14950400\"]\n  11 [size=\"86725120\", alpha=\"0.05\", expect_size=\"34690048\"] \n  11 -> 21 [size =\"34690048\"]\n  11 -> 25 [size =\"34690048\"]\n  11 -> 26 [size =\"34690048\"]\n  11 -> 27 [size =\"34690048\"]\n  11 -> 28 [size =\"34690048\"]\n  12 [size=\"47677440\", alpha=\"0.16\", expect_size=\"19070976\"] \n  12 -> 17 [size =\"19070976\"]\n  12 -> 19 [size =\"19070976\"]\n  12 -> 21 [size =\"19070976\"]\n  12 -> 25 [size =\"19070976\"]\n  13 [size=\"46737920\", alpha=\"0.08\", expect_size=\"18695168\"] \n  13 -> 16 [size =\"18695168\"]\n  13 -> 21 [size =\"18695168\"]\n  13 -> 22 [size =\"18695168\"]\n  13 -> 25 [size =\"18695168\"]\n  13 -> 26 [size =\"18695168\"]\n  13 -> 27 [size =\"18695168\"]\n  13 -> 28 [size =\"18695168\"]\n  14 [size=\"69744640\", alpha=\"0.11\", expect_size=\"27897856\"] \n  14 -> 18 [size =\"27897856\"]\n  14 -> 19 [size =\"27897856\"]\n  14 -> 22 [size =\"27897856\"]\n  14 -> 25 [size =\"27897856\"]\n  14 -> 27 [size =\"27897856\"]\n  15 [size=\"20175360\", alpha=\"0.16\", expect_size=\"8070144\"] \n  15 -> 16 [size =\"8070144\"]\n  15 -> 17 [size =\"8070144\"]\n  15 -> 18 [size =\"8070144\"]\n  15 -> 19 [size =\"8070144\"]\n  15 -> 21 [size =\"8070144\"]\n  15 -> 22 [size =\"8070144\"]\n  15 -> 24 [size =\"8070144\"]\n  15 -> 25 [size =\"8070144\"]\n  15 -> 27 [size =\"8070144\"]\n  16 [size=\"71237120\", alpha=\"0.10\", expect_size=\"28494848\"] \n  16 -> 34 [size =\"28494848\"]\n  16 -> 35 [size =\"28494848\"]\n  17 [size=\"51420160\", alpha=\"0.11\", expect_size=\"20568064\"] \n  17 -> 32 [size =\"20568064\"]\n  17 -> 33 [size =\"20568064\"]\n  18 [size=\"20200960\", alpha=\"0.15\", expect_size=\"8080384\"] \n  18 -> 30 [size =\"8080384\"]\n  18 -> 33 [size =\"8080384\"]\n  18 -> 34 [size =\"8080384\"]\n  18 -> 35 [size =\"8080384\"]\n  19 [size=\"35481600\", alpha=\"0.15\", expect_size=\"14192640\"] \n  19 -> 32 [size =\"14192640\"]\n  19 -> 33 [size =\"14192640\"]\n  20 [size=\"85818880\", alpha=\"0.11\", expect_size=\"34327552\"] \n  20 -> 29 [size =\"34327552\"]\n  20 -> 34 [size =\"34327552\"]\n  20 -> 35 [size =\"34327552\"]\n  21 [size=\"87562240\", alpha=\"0.13\", expect_size=\"35024896\"] \n  21 -> 32 [size =\"35024896\"]\n  21 -> 35 [size =\"35024896\"]\n  22 [size=\"117977600\", alpha=\"0.10\", expect_size=\"47191040\"] \n  22 -> 30 [size =\"47191040\"]\n  22 -> 31 [size =\"47191040\"]\n  22 -> 34 [size =\"47191040\"]\n  23 [size=\"91520000\", alpha=\"0.15\", expect_size=\"36608000\"] \n  23 -> 31 [size =\"36608000\"]\n  23 -> 32 [size =\"36608000\"]\n  23 -> 35 [size =\"36608000\"]\n  24 [size=\"23400960\", alpha=\"0.10\", expect_size=\"9360384\"] \n  24 -> 29 [size =\"9360384\"]\n  24 -> 32 [size =\"9360384\"]\n  24 -> 34 [size =\"9360384\"]\n  25 [size=\"86243840\", alpha=\"0.18\", expect_size=\"34497536\"] \n  25 -> 31 [size =\"34497536\"]\n  25 -> 33 [size =\"34497536\"]\n  25 -> 34 [size =\"34497536\"]\n  25 -> 35 [size =\"34497536\"]\n  26 [size=\"59978240\", alpha=\"0.12\", expect_size=\"23991296\"] \n  26 -> 33 [size =\"23991296\"]\n  26 -> 34 [size =\"23991296\"]\n  26 -> 35 [size =\"23991296\"]\n  27 [size=\"121648640\", alpha=\"0.05\", expect_size=\"48659456\"] \n  27 -> 32 [size =\"48659456\"]\n  27 -> 34 [size =\"48659456\"]\n  28 [size=\"66368000\", alpha=\"0.06\", expect_size=\"26547200\"] \n  29 [size=\"38031360\", alpha=\"0.04\", expect_size=\"15212544\"] \n  30 [size=\"128576000\", alpha=\"0.05\", expect_size=\"51430400\"] \n  31 [size=\"72762880\", alpha=\"0.19\", expect_size=\"29105152\"] \n  32 [size=\"30666240\", alpha=\"0.19\", expect_size=\"12266496\"] \n  33 [size=\"91576320\", alpha=\"0.05\", expect_size=\"36630528\"] \n  34 [size=\"62553600\", alpha=\"0.00\", expect_size=\"25021440\"] \n  35 [size=\"122831360\", alpha=\"0.17\", expect_size=\"49132544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65132544\", alpha=\"0.13\", expect_size=\"32566272\"] \n  1 -> 2 [size =\"32566272\"]\n  2 [size=\"75335680\", alpha=\"0.03\", expect_size=\"37667840\"] \n  2 -> 3 [size =\"37667840\"]\n  3 [size=\"91002880\", alpha=\"0.20\", expect_size=\"45501440\"] \n  3 -> 4 [size =\"45501440\"]\n  4 [size=\"64014336\", alpha=\"0.00\", expect_size=\"32007168\"] \n  4 -> 5 [size =\"32007168\"]\n  5 [size=\"74217472\", alpha=\"0.05\", expect_size=\"37108736\"] \n  5 -> 6 [size =\"37108736\"]\n  6 [size=\"80771072\", alpha=\"0.05\", expect_size=\"40385536\"] \n  6 -> 7 [size =\"40385536\"]\n  7 [size=\"72704000\", alpha=\"0.13\", expect_size=\"36352000\"] \n  7 -> 8 [size =\"36352000\"]\n  8 [size=\"90368000\", alpha=\"0.07\", expect_size=\"45184000\"] \n  8 -> 9 [size =\"45184000\"]\n  9 [size=\"61382656\", alpha=\"0.16\", expect_size=\"30691328\"] \n  9 -> 10 [size =\"30691328\"]\n  10 [size=\"29366272\", alpha=\"0.15\", expect_size=\"14683136\"] \n  10 -> 11 [size =\"14683136\"]\n  11 [size=\"44228608\", alpha=\"0.16\", expect_size=\"22114304\"] \n  11 -> 12 [size =\"22114304\"]\n  12 [size=\"104226816\", alpha=\"0.20\", expect_size=\"52113408\"] \n  12 -> 13 [size =\"52113408\"]\n  13 [size=\"25772032\", alpha=\"0.04\", expect_size=\"12886016\"] \n  13 -> 14 [size =\"12886016\"]\n  14 [size=\"24780800\", alpha=\"0.18\", expect_size=\"12390400\"] \n  14 -> 15 [size =\"12390400\"]\n  15 [size=\"26939392\", alpha=\"0.13\", expect_size=\"13469696\"] \n  15 -> 16 [size =\"13469696\"]\n  16 [size=\"52547584\", alpha=\"0.06\", expect_size=\"26273792\"] \n  16 -> 17 [size =\"26273792\"]\n  17 [size=\"77531136\", alpha=\"0.10\", expect_size=\"38765568\"] \n  17 -> 18 [size =\"38765568\"]\n  18 [size=\"45432832\", alpha=\"0.14\", expect_size=\"22716416\"] \n  18 -> 19 [size =\"22716416\"]\n  19 [size=\"79671296\", alpha=\"0.09\", expect_size=\"39835648\"] \n  19 -> 20 [size =\"39835648\"]\n  20 [size=\"60499968\", alpha=\"0.14\", expect_size=\"30249984\"] \n  20 -> 21 [size =\"30249984\"]\n  21 [size=\"37261312\", alpha=\"0.10\", expect_size=\"18630656\"] \n  21 -> 22 [size =\"18630656\"]\n  22 [size=\"20312064\", alpha=\"0.20\", expect_size=\"10156032\"] \n  22 -> 23 [size =\"10156032\"]\n  23 [size=\"19286016\", alpha=\"0.07\", expect_size=\"9643008\"] \n  23 -> 24 [size =\"9643008\"]\n  24 [size=\"35862528\", alpha=\"0.05\", expect_size=\"17931264\"] \n  24 -> 25 [size =\"17931264\"]\n  25 [size=\"28700672\", alpha=\"0.17\", expect_size=\"14350336\"] \n  25 -> 26 [size =\"14350336\"]\n  26 [size=\"88428544\", alpha=\"0.04\", expect_size=\"44214272\"] \n  26 -> 27 [size =\"44214272\"]\n  27 [size=\"23996416\", alpha=\"0.04\", expect_size=\"11998208\"] \n  27 -> 28 [size =\"11998208\"]\n  28 [size=\"69120000\", alpha=\"0.00\", expect_size=\"34560000\"] \n  28 -> 29 [size =\"34560000\"]\n  29 [size=\"39585792\", alpha=\"0.08\", expect_size=\"19792896\"] \n  29 -> 30 [size =\"19792896\"]\n  30 [size=\"81995776\", alpha=\"0.20\", expect_size=\"40997888\"] \n  30 -> 31 [size =\"40997888\"]\n  31 [size=\"51746816\", alpha=\"0.18\", expect_size=\"25873408\"] \n  31 -> 32 [size =\"25873408\"]\n  32 [size=\"97863680\", alpha=\"0.17\", expect_size=\"48931840\"] \n  32 -> 33 [size =\"48931840\"]\n  33 [size=\"96450560\", alpha=\"0.19\", expect_size=\"48225280\"] \n  33 -> 34 [size =\"48225280\"]\n  34 [size=\"33652736\", alpha=\"0.04\", expect_size=\"16826368\"] \n  34 -> 35 [size =\"16826368\"]\n  35 [size=\"57374720\", alpha=\"0.12\", expect_size=\"28687360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30621696\", alpha=\"0.14\", expect_size=\"15310848\"] \n  2 [size=\"89927680\", alpha=\"0.06\", expect_size=\"44963840\"] \n  3 [size=\"61935616\", alpha=\"0.09\", expect_size=\"30967808\"] \n  3 -> 7 [size =\"30967808\"]\n  3 -> 8 [size =\"30967808\"]\n  3 -> 9 [size =\"30967808\"]\n  3 -> 10 [size =\"30967808\"]\n  4 [size=\"103790592\", alpha=\"0.18\", expect_size=\"51895296\"] \n  4 -> 6 [size =\"51895296\"]\n  5 [size=\"68999168\", alpha=\"0.16\", expect_size=\"34499584\"] \n  5 -> 6 [size =\"34499584\"]\n  5 -> 7 [size =\"34499584\"]\n  5 -> 10 [size =\"34499584\"]\n  6 [size=\"31086592\", alpha=\"0.03\", expect_size=\"15543296\"] \n  6 -> 11 [size =\"15543296\"]\n  6 -> 13 [size =\"15543296\"]\n  6 -> 15 [size =\"15543296\"]\n  7 [size=\"54554624\", alpha=\"0.08\", expect_size=\"27277312\"] \n  8 [size=\"27518976\", alpha=\"0.01\", expect_size=\"13759488\"] \n  9 [size=\"97411072\", alpha=\"0.14\", expect_size=\"48705536\"] \n  9 -> 11 [size =\"48705536\"]\n  9 -> 14 [size =\"48705536\"]\n  10 [size=\"48306176\", alpha=\"0.08\", expect_size=\"24153088\"] \n  10 -> 12 [size =\"24153088\"]\n  10 -> 13 [size =\"24153088\"]\n  11 [size=\"19879936\", alpha=\"0.12\", expect_size=\"9939968\"] \n  11 -> 16 [size =\"9939968\"]\n  11 -> 20 [size =\"9939968\"]\n  12 [size=\"84617216\", alpha=\"0.05\", expect_size=\"42308608\"] \n  12 -> 16 [size =\"42308608\"]\n  12 -> 17 [size =\"42308608\"]\n  13 [size=\"20365312\", alpha=\"0.04\", expect_size=\"10182656\"] \n  13 -> 16 [size =\"10182656\"]\n  13 -> 17 [size =\"10182656\"]\n  13 -> 18 [size =\"10182656\"]\n  13 -> 19 [size =\"10182656\"]\n  14 [size=\"65069056\", alpha=\"0.07\", expect_size=\"32534528\"] \n  14 -> 17 [size =\"32534528\"]\n  15 [size=\"55300096\", alpha=\"0.19\", expect_size=\"27650048\"] \n  15 -> 19 [size =\"27650048\"]\n  16 [size=\"38758400\", alpha=\"0.06\", expect_size=\"19379200\"] \n  16 -> 23 [size =\"19379200\"]\n  17 [size=\"53094400\", alpha=\"0.08\", expect_size=\"26547200\"] \n  18 [size=\"89511936\", alpha=\"0.02\", expect_size=\"44755968\"] \n  18 -> 23 [size =\"44755968\"]\n  18 -> 24 [size =\"44755968\"]\n  19 [size=\"96376832\", alpha=\"0.08\", expect_size=\"48188416\"] \n  19 -> 21 [size =\"48188416\"]\n  19 -> 22 [size =\"48188416\"]\n  19 -> 24 [size =\"48188416\"]\n  20 [size=\"69228544\", alpha=\"0.15\", expect_size=\"34614272\"] \n  21 [size=\"14090240\", alpha=\"0.06\", expect_size=\"7045120\"] \n  21 -> 26 [size =\"7045120\"]\n  22 [size=\"72753152\", alpha=\"0.15\", expect_size=\"36376576\"] \n  23 [size=\"96276480\", alpha=\"0.14\", expect_size=\"48138240\"] \n  23 -> 25 [size =\"48138240\"]\n  23 -> 27 [size =\"48138240\"]\n  24 [size=\"21420032\", alpha=\"0.13\", expect_size=\"10710016\"] \n  25 [size=\"54188032\", alpha=\"0.04\", expect_size=\"27094016\"] \n  25 -> 28 [size =\"27094016\"]\n  25 -> 29 [size =\"27094016\"]\n  25 -> 31 [size =\"27094016\"]\n  26 [size=\"49981440\", alpha=\"0.20\", expect_size=\"24990720\"] \n  26 -> 30 [size =\"24990720\"]\n  26 -> 31 [size =\"24990720\"]\n  27 [size=\"79878144\", alpha=\"0.05\", expect_size=\"39939072\"] \n  27 -> 32 [size =\"39939072\"]\n  28 [size=\"24997888\", alpha=\"0.13\", expect_size=\"12498944\"] \n  28 -> 35 [size =\"12498944\"]\n  29 [size=\"33773568\", alpha=\"0.00\", expect_size=\"16886784\"] \n  29 -> 34 [size =\"16886784\"]\n  30 [size=\"71159808\", alpha=\"0.15\", expect_size=\"35579904\"] \n  30 -> 33 [size =\"35579904\"]\n  31 [size=\"47681536\", alpha=\"0.12\", expect_size=\"23840768\"] \n  31 -> 34 [size =\"23840768\"]\n  31 -> 35 [size =\"23840768\"]\n  32 [size=\"77844480\", alpha=\"0.05\", expect_size=\"38922240\"] \n  33 [size=\"52350976\", alpha=\"0.20\", expect_size=\"26175488\"] \n  34 [size=\"22652928\", alpha=\"0.06\", expect_size=\"11326464\"] \n  35 [size=\"82051072\", alpha=\"0.02\", expect_size=\"41025536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35/random.35.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:38 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151169707\", alpha=\"0.19\", expect_size=\"45350912\"] \n  1 -> 18 [size =\"45350912\"]\n  1 -> 20 [size =\"45350912\"]\n  2 [size=\"63327573\", alpha=\"0.18\", expect_size=\"18998272\"] \n  2 -> 18 [size =\"18998272\"]\n  2 -> 21 [size =\"18998272\"]\n  3 [size=\"50199893\", alpha=\"0.09\", expect_size=\"15059968\"] \n  3 -> 18 [size =\"15059968\"]\n  3 -> 21 [size =\"15059968\"]\n  3 -> 22 [size =\"15059968\"]\n  4 [size=\"163181227\", alpha=\"0.18\", expect_size=\"48954368\"] \n  4 -> 15 [size =\"48954368\"]\n  4 -> 17 [size =\"48954368\"]\n  4 -> 18 [size =\"48954368\"]\n  4 -> 20 [size =\"48954368\"]\n  4 -> 21 [size =\"48954368\"]\n  5 [size=\"149787307\", alpha=\"0.11\", expect_size=\"44936192\"] \n  5 -> 17 [size =\"44936192\"]\n  5 -> 18 [size =\"44936192\"]\n  5 -> 19 [size =\"44936192\"]\n  5 -> 20 [size =\"44936192\"]\n  5 -> 21 [size =\"44936192\"]\n  6 [size=\"131532800\", alpha=\"0.14\", expect_size=\"39459840\"] \n  6 -> 18 [size =\"39459840\"]\n  6 -> 19 [size =\"39459840\"]\n  6 -> 20 [size =\"39459840\"]\n  7 [size=\"133270187\", alpha=\"0.07\", expect_size=\"39981056\"] \n  7 -> 15 [size =\"39981056\"]\n  7 -> 20 [size =\"39981056\"]\n  7 -> 22 [size =\"39981056\"]\n  8 [size=\"114578773\", alpha=\"0.10\", expect_size=\"34373632\"] \n  8 -> 21 [size =\"34373632\"]\n  9 [size=\"29880320\", alpha=\"0.08\", expect_size=\"8964096\"] \n  10 [size=\"172199253\", alpha=\"0.13\", expect_size=\"51659776\"] \n  10 -> 19 [size =\"51659776\"]\n  10 -> 20 [size =\"51659776\"]\n  11 [size=\"137789440\", alpha=\"0.13\", expect_size=\"41336832\"] \n  11 -> 15 [size =\"41336832\"]\n  11 -> 16 [size =\"41336832\"]\n  12 [size=\"126330880\", alpha=\"0.09\", expect_size=\"37899264\"] \n  12 -> 15 [size =\"37899264\"]\n  12 -> 17 [size =\"37899264\"]\n  12 -> 19 [size =\"37899264\"]\n  12 -> 20 [size =\"37899264\"]\n  12 -> 22 [size =\"37899264\"]\n  13 [size=\"107018240\", alpha=\"0.13\", expect_size=\"32105472\"] \n  13 -> 15 [size =\"32105472\"]\n  13 -> 17 [size =\"32105472\"]\n  13 -> 19 [size =\"32105472\"]\n  14 [size=\"17780053\", alpha=\"0.03\", expect_size=\"5334016\"] \n  14 -> 17 [size =\"5334016\"]\n  14 -> 19 [size =\"5334016\"]\n  14 -> 21 [size =\"5334016\"]\n  14 -> 22 [size =\"5334016\"]\n  15 [size=\"156125867\", alpha=\"0.04\", expect_size=\"46837760\"] \n  15 -> 23 [size =\"46837760\"]\n  15 -> 26 [size =\"46837760\"]\n  16 [size=\"82257920\", alpha=\"0.19\", expect_size=\"24677376\"] \n  16 -> 24 [size =\"24677376\"]\n  16 -> 28 [size =\"24677376\"]\n  16 -> 30 [size =\"24677376\"]\n  17 [size=\"38359040\", alpha=\"0.09\", expect_size=\"11507712\"] \n  17 -> 24 [size =\"11507712\"]\n  17 -> 26 [size =\"11507712\"]\n  17 -> 28 [size =\"11507712\"]\n  17 -> 29 [size =\"11507712\"]\n  17 -> 30 [size =\"11507712\"]\n  17 -> 32 [size =\"11507712\"]\n  18 [size=\"89589760\", alpha=\"0.17\", expect_size=\"26876928\"] \n  18 -> 25 [size =\"26876928\"]\n  18 -> 27 [size =\"26876928\"]\n  18 -> 28 [size =\"26876928\"]\n  18 -> 31 [size =\"26876928\"]\n  19 [size=\"168065707\", alpha=\"0.03\", expect_size=\"50419712\"] \n  19 -> 23 [size =\"50419712\"]\n  19 -> 27 [size =\"50419712\"]\n  19 -> 32 [size =\"50419712\"]\n  20 [size=\"75922773\", alpha=\"0.11\", expect_size=\"22776832\"] \n  20 -> 23 [size =\"22776832\"]\n  20 -> 24 [size =\"22776832\"]\n  20 -> 30 [size =\"22776832\"]\n  21 [size=\"20824747\", alpha=\"0.15\", expect_size=\"6247424\"] \n  21 -> 23 [size =\"6247424\"]\n  21 -> 24 [size =\"6247424\"]\n  21 -> 27 [size =\"6247424\"]\n  21 -> 28 [size =\"6247424\"]\n  22 [size=\"122303147\", alpha=\"0.06\", expect_size=\"36690944\"] \n  22 -> 25 [size =\"36690944\"]\n  22 -> 31 [size =\"36690944\"]\n  23 [size=\"39246507\", alpha=\"0.01\", expect_size=\"11773952\"] \n  24 [size=\"139997867\", alpha=\"0.14\", expect_size=\"41999360\"] \n  25 [size=\"167150933\", alpha=\"0.04\", expect_size=\"50145280\"] \n  25 -> 33 [size =\"50145280\"]\n  26 [size=\"40441173\", alpha=\"0.09\", expect_size=\"12132352\"] \n  26 -> 34 [size =\"12132352\"]\n  27 [size=\"34884267\", alpha=\"0.08\", expect_size=\"10465280\"] \n  27 -> 34 [size =\"10465280\"]\n  28 [size=\"102816427\", alpha=\"0.20\", expect_size=\"30844928\"] \n  28 -> 34 [size =\"30844928\"]\n  29 [size=\"75533653\", alpha=\"0.13\", expect_size=\"22660096\"] \n  29 -> 33 [size =\"22660096\"]\n  29 -> 34 [size =\"22660096\"]\n  30 [size=\"98259627\", alpha=\"0.06\", expect_size=\"29477888\"] \n  31 [size=\"24514560\", alpha=\"0.14\", expect_size=\"7354368\"] \n  32 [size=\"145281707\", alpha=\"0.16\", expect_size=\"43584512\"] \n  32 -> 34 [size =\"43584512\"]\n  32 -> 35 [size =\"43584512\"]\n  33 [size=\"34549760\", alpha=\"0.09\", expect_size=\"10364928\"] \n  34 [size=\"39621973\", alpha=\"0.03\", expect_size=\"11886592\"] \n  35 [size=\"148916907\", alpha=\"0.14\", expect_size=\"44675072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50037760\", alpha=\"0.09\", expect_size=\"20015104\"] \n  1 -> 2 [size =\"20015104\"]\n  2 [size=\"84792320\", alpha=\"0.20\", expect_size=\"33916928\"] \n  2 -> 3 [size =\"33916928\"]\n  3 [size=\"95943680\", alpha=\"0.16\", expect_size=\"38377472\"] \n  3 -> 4 [size =\"38377472\"]\n  4 [size=\"117649920\", alpha=\"0.14\", expect_size=\"47059968\"] \n  4 -> 5 [size =\"47059968\"]\n  5 [size=\"80588800\", alpha=\"0.09\", expect_size=\"32235520\"] \n  5 -> 6 [size =\"32235520\"]\n  6 [size=\"76047360\", alpha=\"0.07\", expect_size=\"30418944\"] \n  6 -> 7 [size =\"30418944\"]\n  7 [size=\"24240640\", alpha=\"0.07\", expect_size=\"9696256\"] \n  7 -> 8 [size =\"9696256\"]\n  8 [size=\"55969280\", alpha=\"0.02\", expect_size=\"22387712\"] \n  8 -> 9 [size =\"22387712\"]\n  9 [size=\"78763520\", alpha=\"0.15\", expect_size=\"31505408\"] \n  9 -> 10 [size =\"31505408\"]\n  10 [size=\"65835520\", alpha=\"0.17\", expect_size=\"26334208\"] \n  10 -> 11 [size =\"26334208\"]\n  11 [size=\"33256960\", alpha=\"0.03\", expect_size=\"13302784\"] \n  11 -> 12 [size =\"13302784\"]\n  12 [size=\"88952320\", alpha=\"0.11\", expect_size=\"35580928\"] \n  12 -> 13 [size =\"35580928\"]\n  13 [size=\"86991360\", alpha=\"0.17\", expect_size=\"34796544\"] \n  13 -> 14 [size =\"34796544\"]\n  14 [size=\"61317120\", alpha=\"0.00\", expect_size=\"24526848\"] \n  14 -> 15 [size =\"24526848\"]\n  15 [size=\"28047360\", alpha=\"0.17\", expect_size=\"11218944\"] \n  15 -> 16 [size =\"11218944\"]\n  16 [size=\"81164800\", alpha=\"0.00\", expect_size=\"32465920\"] \n  16 -> 17 [size =\"32465920\"]\n  17 [size=\"124984320\", alpha=\"0.19\", expect_size=\"49993728\"] \n  17 -> 18 [size =\"49993728\"]\n  18 [size=\"51210240\", alpha=\"0.16\", expect_size=\"20484096\"] \n  18 -> 19 [size =\"20484096\"]\n  19 [size=\"61286400\", alpha=\"0.18\", expect_size=\"24514560\"] \n  19 -> 20 [size =\"24514560\"]\n  20 [size=\"31557120\", alpha=\"0.06\", expect_size=\"12622848\"] \n  20 -> 21 [size =\"12622848\"]\n  21 [size=\"15226880\", alpha=\"0.01\", expect_size=\"6090752\"] \n  21 -> 22 [size =\"6090752\"]\n  22 [size=\"31987200\", alpha=\"0.08\", expect_size=\"12794880\"] \n  22 -> 23 [size =\"12794880\"]\n  23 [size=\"98746880\", alpha=\"0.08\", expect_size=\"39498752\"] \n  23 -> 24 [size =\"39498752\"]\n  24 [size=\"80545280\", alpha=\"0.07\", expect_size=\"32218112\"] \n  24 -> 25 [size =\"32218112\"]\n  25 [size=\"81218560\", alpha=\"0.17\", expect_size=\"32487424\"] \n  25 -> 26 [size =\"32487424\"]\n  26 [size=\"61847040\", alpha=\"0.18\", expect_size=\"24738816\"] \n  26 -> 27 [size =\"24738816\"]\n  27 [size=\"62540800\", alpha=\"0.00\", expect_size=\"25016320\"] \n  27 -> 28 [size =\"25016320\"]\n  28 [size=\"58723840\", alpha=\"0.10\", expect_size=\"23489536\"] \n  28 -> 29 [size =\"23489536\"]\n  29 [size=\"35189760\", alpha=\"0.11\", expect_size=\"14075904\"] \n  29 -> 30 [size =\"14075904\"]\n  30 [size=\"21342720\", alpha=\"0.01\", expect_size=\"8537088\"] \n  30 -> 31 [size =\"8537088\"]\n  31 [size=\"57006080\", alpha=\"0.14\", expect_size=\"22802432\"] \n  31 -> 32 [size =\"22802432\"]\n  32 [size=\"61148160\", alpha=\"0.01\", expect_size=\"24459264\"] \n  32 -> 33 [size =\"24459264\"]\n  33 [size=\"105456640\", alpha=\"0.19\", expect_size=\"42182656\"] \n  33 -> 34 [size =\"42182656\"]\n  34 [size=\"36835840\", alpha=\"0.06\", expect_size=\"14734336\"] \n  34 -> 35 [size =\"14734336\"]\n  35 [size=\"77800960\", alpha=\"0.16\", expect_size=\"31120384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30592000\", alpha=\"0.05\", expect_size=\"12236800\"] \n  1 -> 2 [size =\"12236800\"]\n  2 [size=\"17390080\", alpha=\"0.19\", expect_size=\"6956032\"] \n  2 -> 3 [size =\"6956032\"]\n  3 [size=\"90286080\", alpha=\"0.01\", expect_size=\"36114432\"] \n  3 -> 4 [size =\"36114432\"]\n  4 [size=\"65909760\", alpha=\"0.19\", expect_size=\"26363904\"] \n  4 -> 5 [size =\"26363904\"]\n  5 [size=\"72570880\", alpha=\"0.11\", expect_size=\"29028352\"] \n  5 -> 6 [size =\"29028352\"]\n  6 [size=\"107338240\", alpha=\"0.02\", expect_size=\"42935296\"] \n  6 -> 7 [size =\"42935296\"]\n  7 [size=\"45824000\", alpha=\"0.02\", expect_size=\"18329600\"] \n  7 -> 8 [size =\"18329600\"]\n  8 [size=\"74460160\", alpha=\"0.04\", expect_size=\"29784064\"] \n  8 -> 9 [size =\"29784064\"]\n  9 [size=\"121313280\", alpha=\"0.02\", expect_size=\"48525312\"] \n  9 -> 10 [size =\"48525312\"]\n  10 [size=\"99558400\", alpha=\"0.12\", expect_size=\"39823360\"] \n  10 -> 11 [size =\"39823360\"]\n  11 [size=\"16330240\", alpha=\"0.14\", expect_size=\"6532096\"] \n  11 -> 12 [size =\"6532096\"]\n  12 [size=\"48307200\", alpha=\"0.10\", expect_size=\"19322880\"] \n  12 -> 13 [size =\"19322880\"]\n  13 [size=\"43476480\", alpha=\"0.01\", expect_size=\"17390592\"] \n  13 -> 14 [size =\"17390592\"]\n  14 [size=\"51648000\", alpha=\"0.09\", expect_size=\"20659200\"] \n  14 -> 15 [size =\"20659200\"]\n  15 [size=\"43883520\", alpha=\"0.11\", expect_size=\"17553408\"] \n  15 -> 16 [size =\"17553408\"]\n  16 [size=\"110487040\", alpha=\"0.12\", expect_size=\"44194816\"] \n  16 -> 17 [size =\"44194816\"]\n  17 [size=\"123197440\", alpha=\"0.05\", expect_size=\"49278976\"] \n  17 -> 18 [size =\"49278976\"]\n  18 [size=\"15331840\", alpha=\"0.03\", expect_size=\"6132736\"] \n  18 -> 19 [size =\"6132736\"]\n  19 [size=\"39521280\", alpha=\"0.10\", expect_size=\"15808512\"] \n  19 -> 20 [size =\"15808512\"]\n  20 [size=\"53644800\", alpha=\"0.02\", expect_size=\"21457920\"] \n  20 -> 21 [size =\"21457920\"]\n  21 [size=\"123619840\", alpha=\"0.17\", expect_size=\"49447936\"] \n  21 -> 22 [size =\"49447936\"]\n  22 [size=\"85639680\", alpha=\"0.13\", expect_size=\"34255872\"] \n  22 -> 23 [size =\"34255872\"]\n  23 [size=\"29048320\", alpha=\"0.02\", expect_size=\"11619328\"] \n  23 -> 24 [size =\"11619328\"]\n  24 [size=\"34429440\", alpha=\"0.20\", expect_size=\"13771776\"] \n  24 -> 25 [size =\"13771776\"]\n  25 [size=\"86136320\", alpha=\"0.08\", expect_size=\"34454528\"] \n  25 -> 26 [size =\"34454528\"]\n  26 [size=\"31162880\", alpha=\"0.12\", expect_size=\"12465152\"] \n  26 -> 27 [size =\"12465152\"]\n  27 [size=\"104243200\", alpha=\"0.01\", expect_size=\"41697280\"] \n  27 -> 28 [size =\"41697280\"]\n  28 [size=\"15165440\", alpha=\"0.01\", expect_size=\"6066176\"] \n  28 -> 29 [size =\"6066176\"]\n  29 [size=\"34987520\", alpha=\"0.20\", expect_size=\"13995008\"] \n  29 -> 30 [size =\"13995008\"]\n  30 [size=\"91225600\", alpha=\"0.13\", expect_size=\"36490240\"] \n  30 -> 31 [size =\"36490240\"]\n  31 [size=\"101552640\", alpha=\"0.06\", expect_size=\"40621056\"] \n  31 -> 32 [size =\"40621056\"]\n  32 [size=\"83453440\", alpha=\"0.06\", expect_size=\"33381376\"] \n  32 -> 33 [size =\"33381376\"]\n  33 [size=\"41208320\", alpha=\"0.10\", expect_size=\"16483328\"] \n  33 -> 34 [size =\"16483328\"]\n  34 [size=\"52003840\", alpha=\"0.01\", expect_size=\"20801536\"] \n  34 -> 35 [size =\"20801536\"]\n  35 [size=\"50672640\", alpha=\"0.18\", expect_size=\"20269056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79188480\", alpha=\"0.01\", expect_size=\"31675392\"] \n  1 -> 2 [size =\"31675392\"]\n  2 [size=\"74222080\", alpha=\"0.08\", expect_size=\"29688832\"] \n  2 -> 3 [size =\"29688832\"]\n  2 -> 4 [size =\"29688832\"]\n  3 [size=\"115266560\", alpha=\"0.13\", expect_size=\"46106624\"] \n  3 -> 5 [size =\"46106624\"]\n  4 [size=\"15459840\", alpha=\"0.03\", expect_size=\"6183936\"] \n  5 [size=\"38218240\", alpha=\"0.17\", expect_size=\"15287296\"] \n  5 -> 6 [size =\"15287296\"]\n  6 [size=\"71459840\", alpha=\"0.03\", expect_size=\"28583936\"] \n  6 -> 7 [size =\"28583936\"]\n  6 -> 8 [size =\"28583936\"]\n  7 [size=\"97131520\", alpha=\"0.06\", expect_size=\"38852608\"] \n  7 -> 9 [size =\"38852608\"]\n  8 [size=\"16519680\", alpha=\"0.08\", expect_size=\"6607872\"] \n  9 [size=\"39874560\", alpha=\"0.18\", expect_size=\"15949824\"] \n  9 -> 10 [size =\"15949824\"]\n  10 [size=\"53803520\", alpha=\"0.00\", expect_size=\"21521408\"] \n  10 -> 11 [size =\"21521408\"]\n  10 -> 12 [size =\"21521408\"]\n  11 [size=\"37020160\", alpha=\"0.03\", expect_size=\"14808064\"] \n  11 -> 13 [size =\"14808064\"]\n  11 -> 14 [size =\"14808064\"]\n  12 [size=\"42731520\", alpha=\"0.03\", expect_size=\"17092608\"] \n  12 -> 14 [size =\"17092608\"]\n  13 [size=\"91712000\", alpha=\"0.13\", expect_size=\"36684800\"] \n  14 [size=\"50810880\", alpha=\"0.15\", expect_size=\"20324352\"] \n  14 -> 15 [size =\"20324352\"]\n  15 [size=\"65574400\", alpha=\"0.11\", expect_size=\"26229760\"] \n  15 -> 16 [size =\"26229760\"]\n  15 -> 17 [size =\"26229760\"]\n  16 [size=\"45957120\", alpha=\"0.00\", expect_size=\"18382848\"] \n  16 -> 18 [size =\"18382848\"]\n  17 [size=\"65251840\", alpha=\"0.13\", expect_size=\"26100736\"] \n  17 -> 18 [size =\"26100736\"]\n  18 [size=\"100346880\", alpha=\"0.05\", expect_size=\"40138752\"] \n  18 -> 19 [size =\"40138752\"]\n  19 [size=\"29760000\", alpha=\"0.12\", expect_size=\"11904000\"] \n  19 -> 20 [size =\"11904000\"]\n  20 [size=\"19914240\", alpha=\"0.04\", expect_size=\"7965696\"] \n  20 -> 21 [size =\"7965696\"]\n  21 [size=\"22551040\", alpha=\"0.07\", expect_size=\"9020416\"] \n  21 -> 22 [size =\"9020416\"]\n  22 [size=\"40867840\", alpha=\"0.00\", expect_size=\"16347136\"] \n  22 -> 23 [size =\"16347136\"]\n  22 -> 24 [size =\"16347136\"]\n  23 [size=\"58739200\", alpha=\"0.11\", expect_size=\"23495680\"] \n  23 -> 25 [size =\"23495680\"]\n  24 [size=\"17664000\", alpha=\"0.02\", expect_size=\"7065600\"] \n  24 -> 25 [size =\"7065600\"]\n  25 [size=\"104414720\", alpha=\"0.17\", expect_size=\"41765888\"] \n  25 -> 26 [size =\"41765888\"]\n  26 [size=\"53880320\", alpha=\"0.02\", expect_size=\"21552128\"] \n  26 -> 27 [size =\"21552128\"]\n  26 -> 28 [size =\"21552128\"]\n  27 [size=\"53949440\", alpha=\"0.01\", expect_size=\"21579776\"] \n  27 -> 29 [size =\"21579776\"]\n  27 -> 30 [size =\"21579776\"]\n  28 [size=\"129469440\", alpha=\"0.01\", expect_size=\"51787776\"] \n  28 -> 29 [size =\"51787776\"]\n  28 -> 30 [size =\"51787776\"]\n  29 [size=\"38950400\", alpha=\"0.06\", expect_size=\"15580160\"] \n  29 -> 31 [size =\"15580160\"]\n  30 [size=\"110768640\", alpha=\"0.17\", expect_size=\"44307456\"] \n  30 -> 31 [size =\"44307456\"]\n  31 [size=\"15720960\", alpha=\"0.13\", expect_size=\"6288384\"] \n  31 -> 32 [size =\"6288384\"]\n  32 [size=\"55818240\", alpha=\"0.13\", expect_size=\"22327296\"] \n  32 -> 33 [size =\"22327296\"]\n  33 [size=\"56245760\", alpha=\"0.07\", expect_size=\"22498304\"] \n  33 -> 34 [size =\"22498304\"]\n  33 -> 35 [size =\"22498304\"]\n  34 [size=\"119168000\", alpha=\"0.07\", expect_size=\"47667200\"] \n  35 [size=\"128972800\", alpha=\"0.16\", expect_size=\"51589120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15974400\", alpha=\"0.04\", expect_size=\"6389760\"] \n  1 -> 12 [size =\"6389760\"]\n  1 -> 13 [size =\"6389760\"]\n  1 -> 14 [size =\"6389760\"]\n  1 -> 17 [size =\"6389760\"]\n  1 -> 20 [size =\"6389760\"]\n  2 [size=\"105784320\", alpha=\"0.18\", expect_size=\"42313728\"] \n  2 -> 11 [size =\"42313728\"]\n  2 -> 12 [size =\"42313728\"]\n  2 -> 14 [size =\"42313728\"]\n  2 -> 16 [size =\"42313728\"]\n  2 -> 17 [size =\"42313728\"]\n  2 -> 19 [size =\"42313728\"]\n  2 -> 20 [size =\"42313728\"]\n  3 [size=\"48934400\", alpha=\"0.03\", expect_size=\"19573760\"] \n  3 -> 11 [size =\"19573760\"]\n  3 -> 12 [size =\"19573760\"]\n  3 -> 13 [size =\"19573760\"]\n  3 -> 17 [size =\"19573760\"]\n  3 -> 18 [size =\"19573760\"]\n  4 [size=\"51384320\", alpha=\"0.01\", expect_size=\"20553728\"] \n  4 -> 12 [size =\"20553728\"]\n  5 [size=\"34752000\", alpha=\"0.10\", expect_size=\"13900800\"] \n  5 -> 11 [size =\"13900800\"]\n  5 -> 13 [size =\"13900800\"]\n  5 -> 17 [size =\"13900800\"]\n  5 -> 19 [size =\"13900800\"]\n  6 [size=\"75097600\", alpha=\"0.12\", expect_size=\"30039040\"] \n  6 -> 14 [size =\"30039040\"]\n  6 -> 16 [size =\"30039040\"]\n  6 -> 17 [size =\"30039040\"]\n  6 -> 20 [size =\"30039040\"]\n  7 [size=\"75356160\", alpha=\"0.01\", expect_size=\"30142464\"] \n  7 -> 12 [size =\"30142464\"]\n  7 -> 19 [size =\"30142464\"]\n  7 -> 21 [size =\"30142464\"]\n  8 [size=\"50895360\", alpha=\"0.00\", expect_size=\"20358144\"] \n  8 -> 13 [size =\"20358144\"]\n  8 -> 16 [size =\"20358144\"]\n  9 [size=\"41100800\", alpha=\"0.04\", expect_size=\"16440320\"] \n  9 -> 13 [size =\"16440320\"]\n  9 -> 20 [size =\"16440320\"]\n  9 -> 21 [size =\"16440320\"]\n  10 [size=\"50903040\", alpha=\"0.17\", expect_size=\"20361216\"] \n  10 -> 12 [size =\"20361216\"]\n  10 -> 13 [size =\"20361216\"]\n  10 -> 14 [size =\"20361216\"]\n  10 -> 15 [size =\"20361216\"]\n  10 -> 16 [size =\"20361216\"]\n  10 -> 17 [size =\"20361216\"]\n  10 -> 20 [size =\"20361216\"]\n  11 [size=\"36459520\", alpha=\"0.17\", expect_size=\"14583808\"] \n  11 -> 22 [size =\"14583808\"]\n  11 -> 24 [size =\"14583808\"]\n  11 -> 25 [size =\"14583808\"]\n  11 -> 26 [size =\"14583808\"]\n  11 -> 27 [size =\"14583808\"]\n  11 -> 29 [size =\"14583808\"]\n  11 -> 31 [size =\"14583808\"]\n  11 -> 32 [size =\"14583808\"]\n  12 [size=\"59202560\", alpha=\"0.04\", expect_size=\"23681024\"] \n  12 -> 24 [size =\"23681024\"]\n  12 -> 26 [size =\"23681024\"]\n  12 -> 27 [size =\"23681024\"]\n  12 -> 28 [size =\"23681024\"]\n  12 -> 29 [size =\"23681024\"]\n  12 -> 32 [size =\"23681024\"]\n  13 [size=\"44620800\", alpha=\"0.03\", expect_size=\"17848320\"] \n  13 -> 24 [size =\"17848320\"]\n  13 -> 27 [size =\"17848320\"]\n  13 -> 29 [size =\"17848320\"]\n  13 -> 32 [size =\"17848320\"]\n  14 [size=\"60019200\", alpha=\"0.17\", expect_size=\"24007680\"] \n  14 -> 23 [size =\"24007680\"]\n  14 -> 27 [size =\"24007680\"]\n  14 -> 28 [size =\"24007680\"]\n  14 -> 32 [size =\"24007680\"]\n  15 [size=\"66007040\", alpha=\"0.06\", expect_size=\"26402816\"] \n  15 -> 23 [size =\"26402816\"]\n  15 -> 24 [size =\"26402816\"]\n  15 -> 26 [size =\"26402816\"]\n  15 -> 29 [size =\"26402816\"]\n  15 -> 30 [size =\"26402816\"]\n  15 -> 31 [size =\"26402816\"]\n  16 [size=\"123525120\", alpha=\"0.05\", expect_size=\"49410048\"] \n  16 -> 26 [size =\"49410048\"]\n  16 -> 27 [size =\"49410048\"]\n  16 -> 29 [size =\"49410048\"]\n  16 -> 30 [size =\"49410048\"]\n  16 -> 31 [size =\"49410048\"]\n  17 [size=\"78686720\", alpha=\"0.04\", expect_size=\"31474688\"] \n  17 -> 23 [size =\"31474688\"]\n  17 -> 29 [size =\"31474688\"]\n  17 -> 30 [size =\"31474688\"]\n  18 [size=\"85885440\", alpha=\"0.14\", expect_size=\"34354176\"] \n  18 -> 23 [size =\"34354176\"]\n  18 -> 27 [size =\"34354176\"]\n  18 -> 30 [size =\"34354176\"]\n  18 -> 31 [size =\"34354176\"]\n  19 [size=\"88166400\", alpha=\"0.07\", expect_size=\"35266560\"] \n  19 -> 25 [size =\"35266560\"]\n  19 -> 27 [size =\"35266560\"]\n  19 -> 28 [size =\"35266560\"]\n  20 [size=\"114498560\", alpha=\"0.03\", expect_size=\"45799424\"] \n  20 -> 25 [size =\"45799424\"]\n  20 -> 28 [size =\"45799424\"]\n  20 -> 29 [size =\"45799424\"]\n  20 -> 32 [size =\"45799424\"]\n  21 [size=\"94704640\", alpha=\"0.00\", expect_size=\"37881856\"] \n  21 -> 22 [size =\"37881856\"]\n  21 -> 26 [size =\"37881856\"]\n  21 -> 32 [size =\"37881856\"]\n  21 -> 33 [size =\"37881856\"]\n  22 [size=\"77821440\", alpha=\"0.13\", expect_size=\"31128576\"] \n  23 [size=\"103841280\", alpha=\"0.12\", expect_size=\"41536512\"] \n  23 -> 35 [size =\"41536512\"]\n  24 [size=\"120076800\", alpha=\"0.17\", expect_size=\"48030720\"] \n  25 [size=\"100323840\", alpha=\"0.06\", expect_size=\"40129536\"] \n  26 [size=\"19604480\", alpha=\"0.06\", expect_size=\"7841792\"] \n  27 [size=\"48732160\", alpha=\"0.16\", expect_size=\"19492864\"] \n  28 [size=\"72606720\", alpha=\"0.13\", expect_size=\"29042688\"] \n  29 [size=\"35735040\", alpha=\"0.14\", expect_size=\"14294016\"] \n  30 [size=\"75873280\", alpha=\"0.01\", expect_size=\"30349312\"] \n  31 [size=\"95828480\", alpha=\"0.13\", expect_size=\"38331392\"] \n  32 [size=\"98470400\", alpha=\"0.12\", expect_size=\"39388160\"] \n  32 -> 34 [size =\"39388160\"]\n  33 [size=\"58513920\", alpha=\"0.17\", expect_size=\"23405568\"] \n  34 [size=\"129748480\", alpha=\"0.10\", expect_size=\"51899392\"] \n  35 [size=\"114524160\", alpha=\"0.12\", expect_size=\"45809664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122880000\", alpha=\"0.00\", expect_size=\"49152000\"] \n  1 -> 2 [size =\"49152000\"]\n  1 -> 3 [size =\"49152000\"]\n  2 [size=\"45678080\", alpha=\"0.08\", expect_size=\"18271232\"] \n  3 [size=\"121566720\", alpha=\"0.09\", expect_size=\"48626688\"] \n  3 -> 4 [size =\"48626688\"]\n  3 -> 5 [size =\"48626688\"]\n  4 [size=\"38955520\", alpha=\"0.03\", expect_size=\"15582208\"] \n  5 [size=\"100011520\", alpha=\"0.03\", expect_size=\"40004608\"] \n  5 -> 6 [size =\"40004608\"]\n  5 -> 7 [size =\"40004608\"]\n  6 [size=\"89932800\", alpha=\"0.02\", expect_size=\"35973120\"] \n  6 -> 8 [size =\"35973120\"]\n  6 -> 9 [size =\"35973120\"]\n  7 [size=\"95275520\", alpha=\"0.17\", expect_size=\"38110208\"] \n  7 -> 9 [size =\"38110208\"]\n  8 [size=\"28331520\", alpha=\"0.10\", expect_size=\"11332608\"] \n  8 -> 11 [size =\"11332608\"]\n  9 [size=\"83665920\", alpha=\"0.00\", expect_size=\"33466368\"] \n  9 -> 10 [size =\"33466368\"]\n  9 -> 11 [size =\"33466368\"]\n  10 [size=\"127636480\", alpha=\"0.02\", expect_size=\"51054592\"] \n  10 -> 12 [size =\"51054592\"]\n  10 -> 13 [size =\"51054592\"]\n  11 [size=\"95377920\", alpha=\"0.06\", expect_size=\"38151168\"] \n  12 [size=\"97459200\", alpha=\"0.13\", expect_size=\"38983680\"] \n  13 [size=\"27479040\", alpha=\"0.09\", expect_size=\"10991616\"] \n  13 -> 14 [size =\"10991616\"]\n  14 [size=\"80601600\", alpha=\"0.14\", expect_size=\"32240640\"] \n  14 -> 15 [size =\"32240640\"]\n  14 -> 16 [size =\"32240640\"]\n  15 [size=\"99804160\", alpha=\"0.17\", expect_size=\"39921664\"] \n  16 [size=\"114762240\", alpha=\"0.08\", expect_size=\"45904896\"] \n  16 -> 17 [size =\"45904896\"]\n  17 [size=\"126394880\", alpha=\"0.05\", expect_size=\"50557952\"] \n  17 -> 18 [size =\"50557952\"]\n  18 [size=\"107033600\", alpha=\"0.01\", expect_size=\"42813440\"] \n  18 -> 19 [size =\"42813440\"]\n  18 -> 20 [size =\"42813440\"]\n  19 [size=\"49187840\", alpha=\"0.07\", expect_size=\"19675136\"] \n  19 -> 21 [size =\"19675136\"]\n  20 [size=\"51084800\", alpha=\"0.11\", expect_size=\"20433920\"] \n  21 [size=\"61181440\", alpha=\"0.13\", expect_size=\"24472576\"] \n  21 -> 22 [size =\"24472576\"]\n  21 -> 23 [size =\"24472576\"]\n  22 [size=\"93701120\", alpha=\"0.00\", expect_size=\"37480448\"] \n  22 -> 24 [size =\"37480448\"]\n  23 [size=\"54917120\", alpha=\"0.06\", expect_size=\"21966848\"] \n  23 -> 25 [size =\"21966848\"]\n  24 [size=\"106949120\", alpha=\"0.17\", expect_size=\"42779648\"] \n  25 [size=\"72908800\", alpha=\"0.02\", expect_size=\"29163520\"] \n  25 -> 26 [size =\"29163520\"]\n  26 [size=\"57830400\", alpha=\"0.20\", expect_size=\"23132160\"] \n  26 -> 27 [size =\"23132160\"]\n  26 -> 28 [size =\"23132160\"]\n  27 [size=\"105781760\", alpha=\"0.12\", expect_size=\"42312704\"] \n  27 -> 29 [size =\"42312704\"]\n  27 -> 30 [size =\"42312704\"]\n  28 [size=\"18618880\", alpha=\"0.06\", expect_size=\"7447552\"] \n  29 [size=\"23493120\", alpha=\"0.13\", expect_size=\"9397248\"] \n  29 -> 31 [size =\"9397248\"]\n  30 [size=\"66629120\", alpha=\"0.19\", expect_size=\"26651648\"] \n  30 -> 31 [size =\"26651648\"]\n  31 [size=\"129914880\", alpha=\"0.19\", expect_size=\"51965952\"] \n  31 -> 32 [size =\"51965952\"]\n  31 -> 33 [size =\"51965952\"]\n  32 [size=\"87193600\", alpha=\"0.13\", expect_size=\"34877440\"] \n  33 [size=\"89006080\", alpha=\"0.10\", expect_size=\"35602432\"] \n  33 -> 34 [size =\"35602432\"]\n  34 [size=\"125847040\", alpha=\"0.18\", expect_size=\"50338816\"] \n  34 -> 35 [size =\"50338816\"]\n  35 [size=\"105602560\", alpha=\"0.01\", expect_size=\"42241024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109890560\", alpha=\"0.15\", expect_size=\"43956224\"] \n  1 -> 20 [size =\"43956224\"]\n  1 -> 24 [size =\"43956224\"]\n  1 -> 25 [size =\"43956224\"]\n  1 -> 25 [size =\"43956224\"]\n  1 -> 26 [size =\"43956224\"]\n  1 -> 30 [size =\"43956224\"]\n  1 -> 31 [size =\"43956224\"]\n  2 [size=\"120335360\", alpha=\"0.19\", expect_size=\"48134144\"] \n  2 -> 18 [size =\"48134144\"]\n  2 -> 19 [size =\"48134144\"]\n  2 -> 20 [size =\"48134144\"]\n  2 -> 24 [size =\"48134144\"]\n  2 -> 25 [size =\"48134144\"]\n  2 -> 26 [size =\"48134144\"]\n  2 -> 27 [size =\"48134144\"]\n  2 -> 29 [size =\"48134144\"]\n  2 -> 33 [size =\"48134144\"]\n  3 [size=\"23347200\", alpha=\"0.07\", expect_size=\"9338880\"] \n  3 -> 20 [size =\"9338880\"]\n  3 -> 22 [size =\"9338880\"]\n  3 -> 23 [size =\"9338880\"]\n  3 -> 25 [size =\"9338880\"]\n  3 -> 26 [size =\"9338880\"]\n  3 -> 27 [size =\"9338880\"]\n  3 -> 32 [size =\"9338880\"]\n  3 -> 34 [size =\"9338880\"]\n  4 [size=\"79872000\", alpha=\"0.11\", expect_size=\"31948800\"] \n  4 -> 18 [size =\"31948800\"]\n  4 -> 20 [size =\"31948800\"]\n  4 -> 23 [size =\"31948800\"]\n  4 -> 26 [size =\"31948800\"]\n  4 -> 27 [size =\"31948800\"]\n  4 -> 32 [size =\"31948800\"]\n  5 [size=\"32317440\", alpha=\"0.08\", expect_size=\"12926976\"] \n  5 -> 18 [size =\"12926976\"]\n  5 -> 20 [size =\"12926976\"]\n  5 -> 23 [size =\"12926976\"]\n  5 -> 27 [size =\"12926976\"]\n  5 -> 30 [size =\"12926976\"]\n  5 -> 34 [size =\"12926976\"]\n  6 [size=\"77040640\", alpha=\"0.13\", expect_size=\"30816256\"] \n  6 -> 18 [size =\"30816256\"]\n  6 -> 20 [size =\"30816256\"]\n  6 -> 23 [size =\"30816256\"]\n  6 -> 27 [size =\"30816256\"]\n  6 -> 29 [size =\"30816256\"]\n  6 -> 30 [size =\"30816256\"]\n  6 -> 34 [size =\"30816256\"]\n  7 [size=\"98332160\", alpha=\"0.07\", expect_size=\"39332864\"] \n  7 -> 20 [size =\"39332864\"]\n  7 -> 23 [size =\"39332864\"]\n  7 -> 24 [size =\"39332864\"]\n  7 -> 26 [size =\"39332864\"]\n  7 -> 28 [size =\"39332864\"]\n  7 -> 29 [size =\"39332864\"]\n  7 -> 33 [size =\"39332864\"]\n  7 -> 34 [size =\"39332864\"]\n  8 [size=\"124221440\", alpha=\"0.05\", expect_size=\"49688576\"] \n  8 -> 19 [size =\"49688576\"]\n  8 -> 21 [size =\"49688576\"]\n  8 -> 34 [size =\"49688576\"]\n  8 -> 35 [size =\"49688576\"]\n  9 [size=\"51594240\", alpha=\"0.12\", expect_size=\"20637696\"] \n  9 -> 19 [size =\"20637696\"]\n  9 -> 21 [size =\"20637696\"]\n  9 -> 22 [size =\"20637696\"]\n  9 -> 25 [size =\"20637696\"]\n  9 -> 27 [size =\"20637696\"]\n  9 -> 33 [size =\"20637696\"]\n  10 [size=\"61519360\", alpha=\"0.12\", expect_size=\"24607744\"] \n  10 -> 19 [size =\"24607744\"]\n  10 -> 20 [size =\"24607744\"]\n  10 -> 25 [size =\"24607744\"]\n  10 -> 27 [size =\"24607744\"]\n  10 -> 33 [size =\"24607744\"]\n  11 [size=\"100264960\", alpha=\"0.06\", expect_size=\"40105984\"] \n  11 -> 24 [size =\"40105984\"]\n  11 -> 25 [size =\"40105984\"]\n  11 -> 26 [size =\"40105984\"]\n  11 -> 27 [size =\"40105984\"]\n  11 -> 28 [size =\"40105984\"]\n  11 -> 30 [size =\"40105984\"]\n  11 -> 33 [size =\"40105984\"]\n  11 -> 34 [size =\"40105984\"]\n  12 [size=\"72005120\", alpha=\"0.18\", expect_size=\"28802048\"] \n  12 -> 18 [size =\"28802048\"]\n  12 -> 20 [size =\"28802048\"]\n  12 -> 31 [size =\"28802048\"]\n  12 -> 33 [size =\"28802048\"]\n  12 -> 34 [size =\"28802048\"]\n  13 [size=\"67960320\", alpha=\"0.13\", expect_size=\"27184128\"] \n  13 -> 20 [size =\"27184128\"]\n  13 -> 23 [size =\"27184128\"]\n  13 -> 24 [size =\"27184128\"]\n  13 -> 26 [size =\"27184128\"]\n  13 -> 31 [size =\"27184128\"]\n  13 -> 33 [size =\"27184128\"]\n  14 [size=\"108249600\", alpha=\"0.07\", expect_size=\"43299840\"] \n  14 -> 23 [size =\"43299840\"]\n  14 -> 25 [size =\"43299840\"]\n  14 -> 26 [size =\"43299840\"]\n  14 -> 27 [size =\"43299840\"]\n  14 -> 31 [size =\"43299840\"]\n  15 [size=\"52984320\", alpha=\"0.15\", expect_size=\"21193728\"] \n  15 -> 20 [size =\"21193728\"]\n  15 -> 23 [size =\"21193728\"]\n  15 -> 24 [size =\"21193728\"]\n  15 -> 25 [size =\"21193728\"]\n  15 -> 26 [size =\"21193728\"]\n  15 -> 27 [size =\"21193728\"]\n  15 -> 29 [size =\"21193728\"]\n  15 -> 31 [size =\"21193728\"]\n  15 -> 33 [size =\"21193728\"]\n  15 -> 34 [size =\"21193728\"]\n  15 -> 35 [size =\"21193728\"]\n  16 [size=\"101335040\", alpha=\"0.11\", expect_size=\"40534016\"] \n  16 -> 18 [size =\"40534016\"]\n  16 -> 20 [size =\"40534016\"]\n  16 -> 23 [size =\"40534016\"]\n  16 -> 25 [size =\"40534016\"]\n  16 -> 31 [size =\"40534016\"]\n  16 -> 32 [size =\"40534016\"]\n  16 -> 33 [size =\"40534016\"]\n  16 -> 34 [size =\"40534016\"]\n  17 [size=\"62748160\", alpha=\"0.07\", expect_size=\"25099264\"] \n  17 -> 21 [size =\"25099264\"]\n  17 -> 23 [size =\"25099264\"]\n  17 -> 23 [size =\"25099264\"]\n  17 -> 25 [size =\"25099264\"]\n  17 -> 27 [size =\"25099264\"]\n  17 -> 31 [size =\"25099264\"]\n  17 -> 32 [size =\"25099264\"]\n  18 [size=\"102748160\", alpha=\"0.17\", expect_size=\"41099264\"] \n  19 [size=\"130808320\", alpha=\"0.03\", expect_size=\"52323328\"] \n  20 [size=\"84556800\", alpha=\"0.17\", expect_size=\"33822720\"] \n  21 [size=\"40286720\", alpha=\"0.07\", expect_size=\"16114688\"] \n  22 [size=\"73669120\", alpha=\"0.16\", expect_size=\"29467648\"] \n  23 [size=\"64266240\", alpha=\"0.06\", expect_size=\"25706496\"] \n  24 [size=\"21324800\", alpha=\"0.07\", expect_size=\"8529920\"] \n  25 [size=\"65280000\", alpha=\"0.12\", expect_size=\"26112000\"] \n  26 [size=\"37332480\", alpha=\"0.08\", expect_size=\"14932992\"] \n  27 [size=\"99299840\", alpha=\"0.18\", expect_size=\"39719936\"] \n  28 [size=\"24327680\", alpha=\"0.06\", expect_size=\"9731072\"] \n  29 [size=\"124236800\", alpha=\"0.02\", expect_size=\"49694720\"] \n  30 [size=\"24215040\", alpha=\"0.05\", expect_size=\"9686016\"] \n  31 [size=\"123793920\", alpha=\"0.04\", expect_size=\"49517568\"] \n  32 [size=\"47897600\", alpha=\"0.12\", expect_size=\"19159040\"] \n  33 [size=\"21716480\", alpha=\"0.10\", expect_size=\"8686592\"] \n  34 [size=\"55498240\", alpha=\"0.04\", expect_size=\"22199296\"] \n  35 [size=\"98040320\", alpha=\"0.04\", expect_size=\"39216128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50790400\", alpha=\"0.13\", expect_size=\"25395200\"] \n  1 -> 23 [size =\"25395200\"]\n  1 -> 26 [size =\"25395200\"]\n  1 -> 28 [size =\"25395200\"]\n  1 -> 29 [size =\"25395200\"]\n  1 -> 32 [size =\"25395200\"]\n  1 -> 34 [size =\"25395200\"]\n  2 [size=\"43728896\", alpha=\"0.11\", expect_size=\"21864448\"] \n  2 -> 30 [size =\"21864448\"]\n  2 -> 33 [size =\"21864448\"]\n  2 -> 34 [size =\"21864448\"]\n  2 -> 35 [size =\"21864448\"]\n  3 [size=\"29333504\", alpha=\"0.07\", expect_size=\"14666752\"] \n  3 -> 25 [size =\"14666752\"]\n  3 -> 27 [size =\"14666752\"]\n  3 -> 30 [size =\"14666752\"]\n  3 -> 31 [size =\"14666752\"]\n  3 -> 35 [size =\"14666752\"]\n  4 [size=\"47478784\", alpha=\"0.13\", expect_size=\"23739392\"] \n  4 -> 25 [size =\"23739392\"]\n  4 -> 31 [size =\"23739392\"]\n  4 -> 34 [size =\"23739392\"]\n  5 [size=\"24510464\", alpha=\"0.05\", expect_size=\"12255232\"] \n  5 -> 25 [size =\"12255232\"]\n  5 -> 27 [size =\"12255232\"]\n  5 -> 28 [size =\"12255232\"]\n  5 -> 32 [size =\"12255232\"]\n  6 [size=\"17410048\", alpha=\"0.20\", expect_size=\"8705024\"] \n  6 -> 25 [size =\"8705024\"]\n  6 -> 28 [size =\"8705024\"]\n  6 -> 29 [size =\"8705024\"]\n  6 -> 32 [size =\"8705024\"]\n  6 -> 35 [size =\"8705024\"]\n  7 [size=\"92624896\", alpha=\"0.15\", expect_size=\"46312448\"] \n  7 -> 23 [size =\"46312448\"]\n  7 -> 25 [size =\"46312448\"]\n  7 -> 26 [size =\"46312448\"]\n  7 -> 28 [size =\"46312448\"]\n  7 -> 32 [size =\"46312448\"]\n  7 -> 34 [size =\"46312448\"]\n  7 -> 35 [size =\"46312448\"]\n  8 [size=\"75378688\", alpha=\"0.14\", expect_size=\"37689344\"] \n  8 -> 23 [size =\"37689344\"]\n  8 -> 24 [size =\"37689344\"]\n  8 -> 26 [size =\"37689344\"]\n  8 -> 28 [size =\"37689344\"]\n  8 -> 30 [size =\"37689344\"]\n  8 -> 35 [size =\"37689344\"]\n  8 -> 35 [size =\"37689344\"]\n  9 [size=\"34025472\", alpha=\"0.16\", expect_size=\"17012736\"] \n  9 -> 26 [size =\"17012736\"]\n  10 [size=\"61618176\", alpha=\"0.00\", expect_size=\"30809088\"] \n  10 -> 23 [size =\"30809088\"]\n  10 -> 26 [size =\"30809088\"]\n  11 [size=\"76201984\", alpha=\"0.16\", expect_size=\"38100992\"] \n  11 -> 23 [size =\"38100992\"]\n  11 -> 29 [size =\"38100992\"]\n  11 -> 32 [size =\"38100992\"]\n  11 -> 35 [size =\"38100992\"]\n  12 [size=\"41121792\", alpha=\"0.04\", expect_size=\"20560896\"] \n  12 -> 23 [size =\"20560896\"]\n  12 -> 28 [size =\"20560896\"]\n  12 -> 31 [size =\"20560896\"]\n  12 -> 32 [size =\"20560896\"]\n  12 -> 34 [size =\"20560896\"]\n  13 [size=\"93526016\", alpha=\"0.01\", expect_size=\"46763008\"] \n  13 -> 25 [size =\"46763008\"]\n  13 -> 26 [size =\"46763008\"]\n  13 -> 35 [size =\"46763008\"]\n  14 [size=\"33101824\", alpha=\"0.02\", expect_size=\"16550912\"] \n  14 -> 23 [size =\"16550912\"]\n  14 -> 28 [size =\"16550912\"]\n  15 [size=\"92932096\", alpha=\"0.18\", expect_size=\"46466048\"] \n  15 -> 25 [size =\"46466048\"]\n  15 -> 26 [size =\"46466048\"]\n  15 -> 30 [size =\"46466048\"]\n  15 -> 32 [size =\"46466048\"]\n  16 [size=\"24190976\", alpha=\"0.01\", expect_size=\"12095488\"] \n  16 -> 26 [size =\"12095488\"]\n  16 -> 32 [size =\"12095488\"]\n  16 -> 33 [size =\"12095488\"]\n  16 -> 35 [size =\"12095488\"]\n  17 [size=\"23685120\", alpha=\"0.00\", expect_size=\"11842560\"] \n  17 -> 25 [size =\"11842560\"]\n  17 -> 26 [size =\"11842560\"]\n  17 -> 27 [size =\"11842560\"]\n  17 -> 32 [size =\"11842560\"]\n  18 [size=\"93739008\", alpha=\"0.09\", expect_size=\"46869504\"] \n  18 -> 23 [size =\"46869504\"]\n  18 -> 25 [size =\"46869504\"]\n  18 -> 28 [size =\"46869504\"]\n  18 -> 32 [size =\"46869504\"]\n  18 -> 35 [size =\"46869504\"]\n  19 [size=\"64811008\", alpha=\"0.13\", expect_size=\"32405504\"] \n  19 -> 24 [size =\"32405504\"]\n  19 -> 34 [size =\"32405504\"]\n  20 [size=\"44935168\", alpha=\"0.02\", expect_size=\"22467584\"] \n  20 -> 23 [size =\"22467584\"]\n  20 -> 25 [size =\"22467584\"]\n  20 -> 32 [size =\"22467584\"]\n  20 -> 35 [size =\"22467584\"]\n  21 [size=\"47032320\", alpha=\"0.19\", expect_size=\"23516160\"] \n  21 -> 23 [size =\"23516160\"]\n  21 -> 26 [size =\"23516160\"]\n  22 [size=\"30050304\", alpha=\"0.03\", expect_size=\"15025152\"] \n  22 -> 23 [size =\"15025152\"]\n  22 -> 26 [size =\"15025152\"]\n  23 [size=\"46919680\", alpha=\"0.11\", expect_size=\"23459840\"] \n  24 [size=\"52891648\", alpha=\"0.07\", expect_size=\"26445824\"] \n  25 [size=\"62535680\", alpha=\"0.06\", expect_size=\"31267840\"] \n  26 [size=\"54222848\", alpha=\"0.06\", expect_size=\"27111424\"] \n  27 [size=\"59977728\", alpha=\"0.04\", expect_size=\"29988864\"] \n  28 [size=\"60891136\", alpha=\"0.16\", expect_size=\"30445568\"] \n  29 [size=\"103659520\", alpha=\"0.12\", expect_size=\"51829760\"] \n  30 [size=\"70836224\", alpha=\"0.20\", expect_size=\"35418112\"] \n  31 [size=\"78403584\", alpha=\"0.01\", expect_size=\"39201792\"] \n  32 [size=\"72300544\", alpha=\"0.09\", expect_size=\"36150272\"] \n  33 [size=\"85766144\", alpha=\"0.14\", expect_size=\"42883072\"] \n  34 [size=\"43278336\", alpha=\"0.05\", expect_size=\"21639168\"] \n  35 [size=\"76204032\", alpha=\"0.12\", expect_size=\"38102016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75681280\", alpha=\"0.10\", expect_size=\"30272512\"] \n  1 -> 32 [size =\"30272512\"]\n  2 [size=\"106470400\", alpha=\"0.03\", expect_size=\"42588160\"] \n  3 [size=\"49400320\", alpha=\"0.08\", expect_size=\"19760128\"] \n  3 -> 33 [size =\"19760128\"]\n  4 [size=\"38126080\", alpha=\"0.15\", expect_size=\"15250432\"] \n  5 [size=\"28124160\", alpha=\"0.13\", expect_size=\"11249664\"] \n  5 -> 31 [size =\"11249664\"]\n  5 -> 32 [size =\"11249664\"]\n  6 [size=\"24488960\", alpha=\"0.16\", expect_size=\"9795584\"] \n  6 -> 32 [size =\"9795584\"]\n  7 [size=\"14120960\", alpha=\"0.03\", expect_size=\"5648384\"] \n  7 -> 32 [size =\"5648384\"]\n  7 -> 35 [size =\"5648384\"]\n  8 [size=\"62906880\", alpha=\"0.13\", expect_size=\"25162752\"] \n  8 -> 33 [size =\"25162752\"]\n  9 [size=\"90954240\", alpha=\"0.19\", expect_size=\"36381696\"] \n  9 -> 33 [size =\"36381696\"]\n  9 -> 34 [size =\"36381696\"]\n  9 -> 35 [size =\"36381696\"]\n  10 [size=\"90836480\", alpha=\"0.18\", expect_size=\"36334592\"] \n  10 -> 31 [size =\"36334592\"]\n  10 -> 35 [size =\"36334592\"]\n  11 [size=\"88363520\", alpha=\"0.07\", expect_size=\"35345408\"] \n  11 -> 31 [size =\"35345408\"]\n  11 -> 34 [size =\"35345408\"]\n  11 -> 35 [size =\"35345408\"]\n  12 [size=\"28736000\", alpha=\"0.09\", expect_size=\"11494400\"] \n  12 -> 33 [size =\"11494400\"]\n  12 -> 35 [size =\"11494400\"]\n  13 [size=\"45652480\", alpha=\"0.20\", expect_size=\"18260992\"] \n  13 -> 33 [size =\"18260992\"]\n  14 [size=\"90078720\", alpha=\"0.17\", expect_size=\"36031488\"] \n  14 -> 33 [size =\"36031488\"]\n  15 [size=\"58864640\", alpha=\"0.01\", expect_size=\"23545856\"] \n  15 -> 32 [size =\"23545856\"]\n  16 [size=\"15531520\", alpha=\"0.02\", expect_size=\"6212608\"] \n  16 -> 32 [size =\"6212608\"]\n  16 -> 34 [size =\"6212608\"]\n  16 -> 35 [size =\"6212608\"]\n  17 [size=\"111810560\", alpha=\"0.13\", expect_size=\"44724224\"] \n  17 -> 31 [size =\"44724224\"]\n  17 -> 32 [size =\"44724224\"]\n  17 -> 33 [size =\"44724224\"]\n  18 [size=\"129008640\", alpha=\"0.01\", expect_size=\"51603456\"] \n  18 -> 31 [size =\"51603456\"]\n  19 [size=\"87726080\", alpha=\"0.13\", expect_size=\"35090432\"] \n  19 -> 31 [size =\"35090432\"]\n  20 [size=\"84477440\", alpha=\"0.16\", expect_size=\"33790976\"] \n  20 -> 33 [size =\"33790976\"]\n  20 -> 35 [size =\"33790976\"]\n  21 [size=\"75287040\", alpha=\"0.10\", expect_size=\"30114816\"] \n  22 [size=\"117770240\", alpha=\"0.19\", expect_size=\"47108096\"] \n  22 -> 33 [size =\"47108096\"]\n  22 -> 34 [size =\"47108096\"]\n  23 [size=\"51806720\", alpha=\"0.15\", expect_size=\"20722688\"] \n  23 -> 31 [size =\"20722688\"]\n  23 -> 34 [size =\"20722688\"]\n  24 [size=\"51153920\", alpha=\"0.15\", expect_size=\"20461568\"] \n  24 -> 32 [size =\"20461568\"]\n  24 -> 33 [size =\"20461568\"]\n  24 -> 34 [size =\"20461568\"]\n  25 [size=\"31761920\", alpha=\"0.17\", expect_size=\"12704768\"] \n  25 -> 34 [size =\"12704768\"]\n  26 [size=\"39293440\", alpha=\"0.02\", expect_size=\"15717376\"] \n  26 -> 33 [size =\"15717376\"]\n  26 -> 34 [size =\"15717376\"]\n  27 [size=\"50887680\", alpha=\"0.06\", expect_size=\"20355072\"] \n  27 -> 31 [size =\"20355072\"]\n  27 -> 33 [size =\"20355072\"]\n  28 [size=\"128012800\", alpha=\"0.19\", expect_size=\"51205120\"] \n  28 -> 34 [size =\"51205120\"]\n  29 [size=\"16424960\", alpha=\"0.06\", expect_size=\"6569984\"] \n  29 -> 34 [size =\"6569984\"]\n  30 [size=\"91983360\", alpha=\"0.05\", expect_size=\"36793344\"] \n  30 -> 31 [size =\"36793344\"]\n  30 -> 32 [size =\"36793344\"]\n  31 [size=\"67873280\", alpha=\"0.17\", expect_size=\"27149312\"] \n  32 [size=\"124631040\", alpha=\"0.12\", expect_size=\"49852416\"] \n  33 [size=\"119695360\", alpha=\"0.12\", expect_size=\"47878144\"] \n  34 [size=\"89359360\", alpha=\"0.06\", expect_size=\"35743744\"] \n  35 [size=\"58641920\", alpha=\"0.07\", expect_size=\"23456768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70371328\", alpha=\"0.17\", expect_size=\"35185664\"] \n  1 -> 22 [size =\"35185664\"]\n  1 -> 28 [size =\"35185664\"]\n  1 -> 30 [size =\"35185664\"]\n  1 -> 31 [size =\"35185664\"]\n  2 [size=\"79544320\", alpha=\"0.15\", expect_size=\"39772160\"] \n  2 -> 17 [size =\"39772160\"]\n  2 -> 18 [size =\"39772160\"]\n  2 -> 20 [size =\"39772160\"]\n  2 -> 22 [size =\"39772160\"]\n  2 -> 25 [size =\"39772160\"]\n  2 -> 28 [size =\"39772160\"]\n  2 -> 31 [size =\"39772160\"]\n  3 [size=\"97036288\", alpha=\"0.18\", expect_size=\"48518144\"] \n  3 -> 21 [size =\"48518144\"]\n  3 -> 23 [size =\"48518144\"]\n  3 -> 25 [size =\"48518144\"]\n  3 -> 30 [size =\"48518144\"]\n  3 -> 31 [size =\"48518144\"]\n  4 [size=\"60897280\", alpha=\"0.17\", expect_size=\"30448640\"] \n  4 -> 23 [size =\"30448640\"]\n  4 -> 27 [size =\"30448640\"]\n  4 -> 30 [size =\"30448640\"]\n  4 -> 30 [size =\"30448640\"]\n  4 -> 34 [size =\"30448640\"]\n  5 [size=\"20736000\", alpha=\"0.20\", expect_size=\"10368000\"] \n  5 -> 18 [size =\"10368000\"]\n  5 -> 21 [size =\"10368000\"]\n  5 -> 23 [size =\"10368000\"]\n  5 -> 24 [size =\"10368000\"]\n  5 -> 25 [size =\"10368000\"]\n  5 -> 29 [size =\"10368000\"]\n  5 -> 33 [size =\"10368000\"]\n  5 -> 35 [size =\"10368000\"]\n  6 [size=\"22087680\", alpha=\"0.03\", expect_size=\"11043840\"] \n  6 -> 18 [size =\"11043840\"]\n  6 -> 19 [size =\"11043840\"]\n  6 -> 24 [size =\"11043840\"]\n  6 -> 25 [size =\"11043840\"]\n  6 -> 26 [size =\"11043840\"]\n  6 -> 33 [size =\"11043840\"]\n  7 [size=\"71927808\", alpha=\"0.01\", expect_size=\"35963904\"] \n  7 -> 19 [size =\"35963904\"]\n  7 -> 21 [size =\"35963904\"]\n  7 -> 22 [size =\"35963904\"]\n  7 -> 29 [size =\"35963904\"]\n  8 [size=\"25772032\", alpha=\"0.02\", expect_size=\"12886016\"] \n  8 -> 18 [size =\"12886016\"]\n  8 -> 20 [size =\"12886016\"]\n  8 -> 21 [size =\"12886016\"]\n  8 -> 23 [size =\"12886016\"]\n  8 -> 29 [size =\"12886016\"]\n  8 -> 34 [size =\"12886016\"]\n  9 [size=\"17739776\", alpha=\"0.13\", expect_size=\"8869888\"] \n  9 -> 16 [size =\"8869888\"]\n  9 -> 17 [size =\"8869888\"]\n  9 -> 18 [size =\"8869888\"]\n  9 -> 23 [size =\"8869888\"]\n  9 -> 29 [size =\"8869888\"]\n  9 -> 31 [size =\"8869888\"]\n  9 -> 34 [size =\"8869888\"]\n  10 [size=\"37275648\", alpha=\"0.16\", expect_size=\"18637824\"] \n  10 -> 23 [size =\"18637824\"]\n  10 -> 26 [size =\"18637824\"]\n  10 -> 30 [size =\"18637824\"]\n  10 -> 31 [size =\"18637824\"]\n  10 -> 34 [size =\"18637824\"]\n  11 [size=\"18880512\", alpha=\"0.18\", expect_size=\"9440256\"] \n  11 -> 18 [size =\"9440256\"]\n  11 -> 24 [size =\"9440256\"]\n  11 -> 25 [size =\"9440256\"]\n  11 -> 26 [size =\"9440256\"]\n  11 -> 30 [size =\"9440256\"]\n  11 -> 31 [size =\"9440256\"]\n  11 -> 33 [size =\"9440256\"]\n  11 -> 34 [size =\"9440256\"]\n  11 -> 35 [size =\"9440256\"]\n  12 [size=\"100274176\", alpha=\"0.14\", expect_size=\"50137088\"] \n  12 -> 18 [size =\"50137088\"]\n  12 -> 21 [size =\"50137088\"]\n  12 -> 23 [size =\"50137088\"]\n  12 -> 25 [size =\"50137088\"]\n  12 -> 34 [size =\"50137088\"]\n  13 [size=\"75114496\", alpha=\"0.18\", expect_size=\"37557248\"] \n  13 -> 18 [size =\"37557248\"]\n  13 -> 21 [size =\"37557248\"]\n  13 -> 23 [size =\"37557248\"]\n  13 -> 31 [size =\"37557248\"]\n  13 -> 32 [size =\"37557248\"]\n  13 -> 33 [size =\"37557248\"]\n  13 -> 34 [size =\"37557248\"]\n  13 -> 35 [size =\"37557248\"]\n  14 [size=\"65253376\", alpha=\"0.01\", expect_size=\"32626688\"] \n  14 -> 16 [size =\"32626688\"]\n  14 -> 18 [size =\"32626688\"]\n  14 -> 23 [size =\"32626688\"]\n  14 -> 29 [size =\"32626688\"]\n  14 -> 32 [size =\"32626688\"]\n  14 -> 34 [size =\"32626688\"]\n  15 [size=\"50053120\", alpha=\"0.04\", expect_size=\"25026560\"] \n  15 -> 18 [size =\"25026560\"]\n  15 -> 18 [size =\"25026560\"]\n  15 -> 20 [size =\"25026560\"]\n  15 -> 23 [size =\"25026560\"]\n  15 -> 29 [size =\"25026560\"]\n  15 -> 30 [size =\"25026560\"]\n  15 -> 31 [size =\"25026560\"]\n  15 -> 32 [size =\"25026560\"]\n  15 -> 33 [size =\"25026560\"]\n  15 -> 35 [size =\"25026560\"]\n  16 [size=\"49664000\", alpha=\"0.13\", expect_size=\"24832000\"] \n  17 [size=\"62865408\", alpha=\"0.16\", expect_size=\"31432704\"] \n  18 [size=\"67719168\", alpha=\"0.13\", expect_size=\"33859584\"] \n  19 [size=\"77963264\", alpha=\"0.12\", expect_size=\"38981632\"] \n  20 [size=\"45617152\", alpha=\"0.10\", expect_size=\"22808576\"] \n  21 [size=\"28940288\", alpha=\"0.00\", expect_size=\"14470144\"] \n  22 [size=\"19597312\", alpha=\"0.05\", expect_size=\"9798656\"] \n  23 [size=\"85940224\", alpha=\"0.09\", expect_size=\"42970112\"] \n  24 [size=\"78862336\", alpha=\"0.03\", expect_size=\"39431168\"] \n  25 [size=\"85223424\", alpha=\"0.19\", expect_size=\"42611712\"] \n  26 [size=\"10975232\", alpha=\"0.18\", expect_size=\"5487616\"] \n  27 [size=\"70612992\", alpha=\"0.09\", expect_size=\"35306496\"] \n  28 [size=\"51107840\", alpha=\"0.04\", expect_size=\"25553920\"] \n  29 [size=\"18024448\", alpha=\"0.00\", expect_size=\"9012224\"] \n  30 [size=\"76802048\", alpha=\"0.03\", expect_size=\"38401024\"] \n  31 [size=\"30081024\", alpha=\"0.06\", expect_size=\"15040512\"] \n  32 [size=\"32118784\", alpha=\"0.09\", expect_size=\"16059392\"] \n  33 [size=\"57602048\", alpha=\"0.06\", expect_size=\"28801024\"] \n  34 [size=\"98711552\", alpha=\"0.14\", expect_size=\"49355776\"] \n  35 [size=\"17115136\", alpha=\"0.11\", expect_size=\"8557568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33298432\", alpha=\"0.05\", expect_size=\"16649216\"] \n  1 -> 28 [size =\"16649216\"]\n  1 -> 29 [size =\"16649216\"]\n  1 -> 30 [size =\"16649216\"]\n  1 -> 31 [size =\"16649216\"]\n  1 -> 32 [size =\"16649216\"]\n  1 -> 34 [size =\"16649216\"]\n  1 -> 35 [size =\"16649216\"]\n  2 [size=\"74246144\", alpha=\"0.17\", expect_size=\"37123072\"] \n  2 -> 34 [size =\"37123072\"]\n  3 [size=\"60571648\", alpha=\"0.08\", expect_size=\"30285824\"] \n  3 -> 26 [size =\"30285824\"]\n  3 -> 31 [size =\"30285824\"]\n  4 [size=\"91748352\", alpha=\"0.09\", expect_size=\"45874176\"] \n  4 -> 27 [size =\"45874176\"]\n  4 -> 31 [size =\"45874176\"]\n  4 -> 32 [size =\"45874176\"]\n  4 -> 34 [size =\"45874176\"]\n  5 [size=\"66691072\", alpha=\"0.17\", expect_size=\"33345536\"] \n  5 -> 27 [size =\"33345536\"]\n  5 -> 31 [size =\"33345536\"]\n  5 -> 32 [size =\"33345536\"]\n  5 -> 33 [size =\"33345536\"]\n  5 -> 34 [size =\"33345536\"]\n  5 -> 35 [size =\"33345536\"]\n  6 [size=\"72388608\", alpha=\"0.09\", expect_size=\"36194304\"] \n  6 -> 29 [size =\"36194304\"]\n  6 -> 30 [size =\"36194304\"]\n  6 -> 31 [size =\"36194304\"]\n  6 -> 32 [size =\"36194304\"]\n  6 -> 34 [size =\"36194304\"]\n  6 -> 35 [size =\"36194304\"]\n  7 [size=\"38907904\", alpha=\"0.19\", expect_size=\"19453952\"] \n  7 -> 29 [size =\"19453952\"]\n  7 -> 30 [size =\"19453952\"]\n  7 -> 35 [size =\"19453952\"]\n  8 [size=\"49244160\", alpha=\"0.12\", expect_size=\"24622080\"] \n  8 -> 27 [size =\"24622080\"]\n  8 -> 29 [size =\"24622080\"]\n  8 -> 30 [size =\"24622080\"]\n  8 -> 35 [size =\"24622080\"]\n  9 [size=\"58071040\", alpha=\"0.07\", expect_size=\"29035520\"] \n  9 -> 27 [size =\"29035520\"]\n  9 -> 30 [size =\"29035520\"]\n  10 [size=\"50221056\", alpha=\"0.05\", expect_size=\"25110528\"] \n  10 -> 26 [size =\"25110528\"]\n  10 -> 27 [size =\"25110528\"]\n  10 -> 29 [size =\"25110528\"]\n  10 -> 35 [size =\"25110528\"]\n  11 [size=\"15605760\", alpha=\"0.09\", expect_size=\"7802880\"] \n  11 -> 27 [size =\"7802880\"]\n  11 -> 32 [size =\"7802880\"]\n  11 -> 34 [size =\"7802880\"]\n  11 -> 35 [size =\"7802880\"]\n  12 [size=\"37593088\", alpha=\"0.10\", expect_size=\"18796544\"] \n  12 -> 27 [size =\"18796544\"]\n  12 -> 28 [size =\"18796544\"]\n  12 -> 31 [size =\"18796544\"]\n  13 [size=\"21213184\", alpha=\"0.18\", expect_size=\"10606592\"] \n  13 -> 27 [size =\"10606592\"]\n  13 -> 32 [size =\"10606592\"]\n  14 [size=\"60667904\", alpha=\"0.07\", expect_size=\"30333952\"] \n  14 -> 32 [size =\"30333952\"]\n  14 -> 34 [size =\"30333952\"]\n  15 [size=\"102844416\", alpha=\"0.08\", expect_size=\"51422208\"] \n  15 -> 26 [size =\"51422208\"]\n  15 -> 27 [size =\"51422208\"]\n  15 -> 34 [size =\"51422208\"]\n  16 [size=\"90056704\", alpha=\"0.04\", expect_size=\"45028352\"] \n  16 -> 27 [size =\"45028352\"]\n  16 -> 30 [size =\"45028352\"]\n  16 -> 32 [size =\"45028352\"]\n  17 [size=\"40052736\", alpha=\"0.10\", expect_size=\"20026368\"] \n  17 -> 26 [size =\"20026368\"]\n  18 [size=\"36753408\", alpha=\"0.16\", expect_size=\"18376704\"] \n  18 -> 29 [size =\"18376704\"]\n  18 -> 31 [size =\"18376704\"]\n  19 [size=\"91187200\", alpha=\"0.14\", expect_size=\"45593600\"] \n  19 -> 26 [size =\"45593600\"]\n  19 -> 28 [size =\"45593600\"]\n  19 -> 29 [size =\"45593600\"]\n  19 -> 32 [size =\"45593600\"]\n  19 -> 33 [size =\"45593600\"]\n  20 [size=\"30214144\", alpha=\"0.16\", expect_size=\"15107072\"] \n  20 -> 28 [size =\"15107072\"]\n  20 -> 29 [size =\"15107072\"]\n  20 -> 32 [size =\"15107072\"]\n  21 [size=\"52764672\", alpha=\"0.04\", expect_size=\"26382336\"] \n  21 -> 27 [size =\"26382336\"]\n  21 -> 29 [size =\"26382336\"]\n  21 -> 34 [size =\"26382336\"]\n  22 [size=\"96135168\", alpha=\"0.04\", expect_size=\"48067584\"] \n  22 -> 26 [size =\"48067584\"]\n  22 -> 27 [size =\"48067584\"]\n  22 -> 32 [size =\"48067584\"]\n  23 [size=\"47697920\", alpha=\"0.16\", expect_size=\"23848960\"] \n  23 -> 27 [size =\"23848960\"]\n  23 -> 28 [size =\"23848960\"]\n  23 -> 29 [size =\"23848960\"]\n  23 -> 32 [size =\"23848960\"]\n  24 [size=\"36544512\", alpha=\"0.05\", expect_size=\"18272256\"] \n  24 -> 26 [size =\"18272256\"]\n  24 -> 29 [size =\"18272256\"]\n  24 -> 31 [size =\"18272256\"]\n  24 -> 32 [size =\"18272256\"]\n  24 -> 35 [size =\"18272256\"]\n  25 [size=\"67801088\", alpha=\"0.05\", expect_size=\"33900544\"] \n  25 -> 27 [size =\"33900544\"]\n  25 -> 28 [size =\"33900544\"]\n  25 -> 31 [size =\"33900544\"]\n  25 -> 32 [size =\"33900544\"]\n  25 -> 35 [size =\"33900544\"]\n  26 [size=\"11309056\", alpha=\"0.19\", expect_size=\"5654528\"] \n  27 [size=\"31379456\", alpha=\"0.19\", expect_size=\"15689728\"] \n  28 [size=\"77588480\", alpha=\"0.07\", expect_size=\"38794240\"] \n  29 [size=\"59979776\", alpha=\"0.05\", expect_size=\"29989888\"] \n  30 [size=\"30507008\", alpha=\"0.11\", expect_size=\"15253504\"] \n  31 [size=\"12894208\", alpha=\"0.19\", expect_size=\"6447104\"] \n  32 [size=\"29956096\", alpha=\"0.12\", expect_size=\"14978048\"] \n  33 [size=\"51083264\", alpha=\"0.08\", expect_size=\"25541632\"] \n  34 [size=\"31987712\", alpha=\"0.14\", expect_size=\"15993856\"] \n  35 [size=\"53938176\", alpha=\"0.20\", expect_size=\"26969088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57239040\", alpha=\"0.06\", expect_size=\"22895616\"] \n  1 -> 4 [size =\"22895616\"]\n  2 [size=\"17774080\", alpha=\"0.15\", expect_size=\"7109632\"] \n  2 -> 3 [size =\"7109632\"]\n  3 [size=\"77276160\", alpha=\"0.17\", expect_size=\"30910464\"] \n  4 [size=\"30428160\", alpha=\"0.14\", expect_size=\"12171264\"] \n  4 -> 5 [size =\"12171264\"]\n  4 -> 6 [size =\"12171264\"]\n  5 [size=\"73149440\", alpha=\"0.07\", expect_size=\"29259776\"] \n  5 -> 7 [size =\"29259776\"]\n  6 [size=\"43765760\", alpha=\"0.20\", expect_size=\"17506304\"] \n  7 [size=\"51612160\", alpha=\"0.13\", expect_size=\"20644864\"] \n  7 -> 8 [size =\"20644864\"]\n  8 [size=\"81661440\", alpha=\"0.15\", expect_size=\"32664576\"] \n  8 -> 9 [size =\"32664576\"]\n  8 -> 10 [size =\"32664576\"]\n  9 [size=\"80819200\", alpha=\"0.19\", expect_size=\"32327680\"] \n  9 -> 11 [size =\"32327680\"]\n  9 -> 12 [size =\"32327680\"]\n  10 [size=\"45670400\", alpha=\"0.08\", expect_size=\"18268160\"] \n  11 [size=\"32801280\", alpha=\"0.01\", expect_size=\"13120512\"] \n  11 -> 13 [size =\"13120512\"]\n  12 [size=\"66984960\", alpha=\"0.10\", expect_size=\"26793984\"] \n  13 [size=\"40284160\", alpha=\"0.01\", expect_size=\"16113664\"] \n  13 -> 14 [size =\"16113664\"]\n  13 -> 15 [size =\"16113664\"]\n  14 [size=\"24711680\", alpha=\"0.11\", expect_size=\"9884672\"] \n  14 -> 16 [size =\"9884672\"]\n  15 [size=\"109317120\", alpha=\"0.04\", expect_size=\"43726848\"] \n  16 [size=\"31111680\", alpha=\"0.04\", expect_size=\"12444672\"] \n  16 -> 17 [size =\"12444672\"]\n  16 -> 18 [size =\"12444672\"]\n  17 [size=\"28966400\", alpha=\"0.04\", expect_size=\"11586560\"] \n  17 -> 19 [size =\"11586560\"]\n  18 [size=\"108037120\", alpha=\"0.05\", expect_size=\"43214848\"] \n  18 -> 20 [size =\"43214848\"]\n  19 [size=\"78929920\", alpha=\"0.20\", expect_size=\"31571968\"] \n  20 [size=\"72161280\", alpha=\"0.11\", expect_size=\"28864512\"] \n  20 -> 21 [size =\"28864512\"]\n  21 [size=\"118658560\", alpha=\"0.09\", expect_size=\"47463424\"] \n  21 -> 22 [size =\"47463424\"]\n  22 [size=\"124986880\", alpha=\"0.09\", expect_size=\"49994752\"] \n  22 -> 23 [size =\"49994752\"]\n  23 [size=\"64222720\", alpha=\"0.19\", expect_size=\"25689088\"] \n  23 -> 24 [size =\"25689088\"]\n  23 -> 25 [size =\"25689088\"]\n  24 [size=\"69201920\", alpha=\"0.12\", expect_size=\"27680768\"] \n  25 [size=\"17308160\", alpha=\"0.16\", expect_size=\"6923264\"] \n  25 -> 26 [size =\"6923264\"]\n  25 -> 27 [size =\"6923264\"]\n  26 [size=\"38589440\", alpha=\"0.04\", expect_size=\"15435776\"] \n  26 -> 28 [size =\"15435776\"]\n  27 [size=\"64394240\", alpha=\"0.19\", expect_size=\"25757696\"] \n  28 [size=\"87503360\", alpha=\"0.06\", expect_size=\"35001344\"] \n  28 -> 29 [size =\"35001344\"]\n  28 -> 30 [size =\"35001344\"]\n  29 [size=\"114114560\", alpha=\"0.04\", expect_size=\"45645824\"] \n  29 -> 32 [size =\"45645824\"]\n  30 [size=\"112396800\", alpha=\"0.08\", expect_size=\"44958720\"] \n  30 -> 31 [size =\"44958720\"]\n  31 [size=\"58360320\", alpha=\"0.15\", expect_size=\"23344128\"] \n  31 -> 33 [size =\"23344128\"]\n  32 [size=\"114106880\", alpha=\"0.12\", expect_size=\"45642752\"] \n  33 [size=\"48376320\", alpha=\"0.12\", expect_size=\"19350528\"] \n  33 -> 34 [size =\"19350528\"]\n  33 -> 35 [size =\"19350528\"]\n  34 [size=\"43299840\", alpha=\"0.15\", expect_size=\"17319936\"] \n  35 [size=\"116203520\", alpha=\"0.14\", expect_size=\"46481408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66391040\", alpha=\"0.09\", expect_size=\"26556416\"] \n  1 -> 29 [size =\"26556416\"]\n  1 -> 31 [size =\"26556416\"]\n  1 -> 34 [size =\"26556416\"]\n  2 [size=\"19975680\", alpha=\"0.10\", expect_size=\"7990272\"] \n  2 -> 29 [size =\"7990272\"]\n  2 -> 30 [size =\"7990272\"]\n  2 -> 31 [size =\"7990272\"]\n  2 -> 33 [size =\"7990272\"]\n  2 -> 34 [size =\"7990272\"]\n  3 [size=\"42826240\", alpha=\"0.19\", expect_size=\"17130496\"] \n  3 -> 29 [size =\"17130496\"]\n  3 -> 35 [size =\"17130496\"]\n  4 [size=\"14031360\", alpha=\"0.03\", expect_size=\"5612544\"] \n  4 -> 31 [size =\"5612544\"]\n  5 [size=\"79290880\", alpha=\"0.12\", expect_size=\"31716352\"] \n  5 -> 33 [size =\"31716352\"]\n  5 -> 34 [size =\"31716352\"]\n  6 [size=\"38108160\", alpha=\"0.02\", expect_size=\"15243264\"] \n  6 -> 29 [size =\"15243264\"]\n  6 -> 30 [size =\"15243264\"]\n  6 -> 34 [size =\"15243264\"]\n  6 -> 35 [size =\"15243264\"]\n  7 [size=\"23641600\", alpha=\"0.05\", expect_size=\"9456640\"] \n  7 -> 29 [size =\"9456640\"]\n  8 [size=\"59537920\", alpha=\"0.20\", expect_size=\"23815168\"] \n  8 -> 30 [size =\"23815168\"]\n  8 -> 34 [size =\"23815168\"]\n  9 [size=\"53368320\", alpha=\"0.14\", expect_size=\"21347328\"] \n  9 -> 29 [size =\"21347328\"]\n  9 -> 31 [size =\"21347328\"]\n  10 [size=\"92597760\", alpha=\"0.11\", expect_size=\"37039104\"] \n  10 -> 34 [size =\"37039104\"]\n  10 -> 35 [size =\"37039104\"]\n  11 [size=\"126190080\", alpha=\"0.01\", expect_size=\"50476032\"] \n  11 -> 35 [size =\"50476032\"]\n  11 -> 35 [size =\"50476032\"]\n  12 [size=\"63449600\", alpha=\"0.10\", expect_size=\"25379840\"] \n  12 -> 32 [size =\"25379840\"]\n  12 -> 35 [size =\"25379840\"]\n  13 [size=\"123051520\", alpha=\"0.05\", expect_size=\"49220608\"] \n  13 -> 31 [size =\"49220608\"]\n  13 -> 34 [size =\"49220608\"]\n  14 [size=\"117662720\", alpha=\"0.16\", expect_size=\"47065088\"] \n  14 -> 29 [size =\"47065088\"]\n  15 [size=\"17623040\", alpha=\"0.04\", expect_size=\"7049216\"] \n  15 -> 29 [size =\"7049216\"]\n  15 -> 35 [size =\"7049216\"]\n  16 [size=\"87032320\", alpha=\"0.05\", expect_size=\"34812928\"] \n  16 -> 30 [size =\"34812928\"]\n  16 -> 31 [size =\"34812928\"]\n  16 -> 33 [size =\"34812928\"]\n  16 -> 35 [size =\"34812928\"]\n  17 [size=\"100520960\", alpha=\"0.15\", expect_size=\"40208384\"] \n  17 -> 31 [size =\"40208384\"]\n  18 [size=\"14696960\", alpha=\"0.00\", expect_size=\"5878784\"] \n  18 -> 31 [size =\"5878784\"]\n  18 -> 32 [size =\"5878784\"]\n  18 -> 34 [size =\"5878784\"]\n  19 [size=\"13434880\", alpha=\"0.13\", expect_size=\"5373952\"] \n  19 -> 30 [size =\"5373952\"]\n  20 [size=\"98158080\", alpha=\"0.15\", expect_size=\"39263232\"] \n  20 -> 30 [size =\"39263232\"]\n  21 [size=\"43353600\", alpha=\"0.06\", expect_size=\"17341440\"] \n  21 -> 33 [size =\"17341440\"]\n  21 -> 34 [size =\"17341440\"]\n  21 -> 35 [size =\"17341440\"]\n  22 [size=\"47459840\", alpha=\"0.17\", expect_size=\"18983936\"] \n  22 -> 34 [size =\"18983936\"]\n  23 [size=\"106933760\", alpha=\"0.14\", expect_size=\"42773504\"] \n  23 -> 29 [size =\"42773504\"]\n  23 -> 32 [size =\"42773504\"]\n  23 -> 35 [size =\"42773504\"]\n  24 [size=\"16773120\", alpha=\"0.12\", expect_size=\"6709248\"] \n  24 -> 31 [size =\"6709248\"]\n  24 -> 34 [size =\"6709248\"]\n  25 [size=\"109703680\", alpha=\"0.20\", expect_size=\"43881472\"] \n  25 -> 35 [size =\"43881472\"]\n  26 [size=\"14581760\", alpha=\"0.12\", expect_size=\"5832704\"] \n  26 -> 29 [size =\"5832704\"]\n  26 -> 30 [size =\"5832704\"]\n  26 -> 34 [size =\"5832704\"]\n  26 -> 35 [size =\"5832704\"]\n  27 [size=\"46983680\", alpha=\"0.07\", expect_size=\"18793472\"] \n  27 -> 29 [size =\"18793472\"]\n  27 -> 32 [size =\"18793472\"]\n  27 -> 34 [size =\"18793472\"]\n  28 [size=\"19284480\", alpha=\"0.09\", expect_size=\"7713792\"] \n  28 -> 29 [size =\"7713792\"]\n  28 -> 33 [size =\"7713792\"]\n  28 -> 34 [size =\"7713792\"]\n  29 [size=\"19714560\", alpha=\"0.18\", expect_size=\"7885824\"] \n  30 [size=\"97077760\", alpha=\"0.01\", expect_size=\"38831104\"] \n  31 [size=\"66526720\", alpha=\"0.02\", expect_size=\"26610688\"] \n  32 [size=\"99312640\", alpha=\"0.12\", expect_size=\"39725056\"] \n  33 [size=\"84339200\", alpha=\"0.01\", expect_size=\"33735680\"] \n  34 [size=\"51325440\", alpha=\"0.08\", expect_size=\"20530176\"] \n  35 [size=\"119162880\", alpha=\"0.15\", expect_size=\"47665152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160727040\", alpha=\"0.09\", expect_size=\"48218112\"] \n  1 -> 2 [size =\"48218112\"]\n  2 [size=\"155436373\", alpha=\"0.16\", expect_size=\"46630912\"] \n  2 -> 3 [size =\"46630912\"]\n  3 [size=\"96105813\", alpha=\"0.04\", expect_size=\"28831744\"] \n  3 -> 4 [size =\"28831744\"]\n  4 [size=\"77230080\", alpha=\"0.19\", expect_size=\"23169024\"] \n  4 -> 5 [size =\"23169024\"]\n  5 [size=\"61419520\", alpha=\"0.09\", expect_size=\"18425856\"] \n  5 -> 6 [size =\"18425856\"]\n  6 [size=\"76240213\", alpha=\"0.02\", expect_size=\"22872064\"] \n  6 -> 7 [size =\"22872064\"]\n  7 [size=\"53480107\", alpha=\"0.10\", expect_size=\"16044032\"] \n  7 -> 8 [size =\"16044032\"]\n  8 [size=\"79725227\", alpha=\"0.09\", expect_size=\"23917568\"] \n  8 -> 9 [size =\"23917568\"]\n  9 [size=\"164819627\", alpha=\"0.11\", expect_size=\"49445888\"] \n  9 -> 10 [size =\"49445888\"]\n  10 [size=\"112622933\", alpha=\"0.07\", expect_size=\"33786880\"] \n  10 -> 11 [size =\"33786880\"]\n  11 [size=\"77656747\", alpha=\"0.13\", expect_size=\"23297024\"] \n  11 -> 12 [size =\"23297024\"]\n  12 [size=\"150790827\", alpha=\"0.16\", expect_size=\"45237248\"] \n  12 -> 13 [size =\"45237248\"]\n  13 [size=\"120712533\", alpha=\"0.19\", expect_size=\"36213760\"] \n  13 -> 14 [size =\"36213760\"]\n  14 [size=\"153050453\", alpha=\"0.18\", expect_size=\"45915136\"] \n  14 -> 15 [size =\"45915136\"]\n  15 [size=\"148452693\", alpha=\"0.02\", expect_size=\"44535808\"] \n  15 -> 16 [size =\"44535808\"]\n  16 [size=\"64327680\", alpha=\"0.08\", expect_size=\"19298304\"] \n  16 -> 17 [size =\"19298304\"]\n  17 [size=\"78506667\", alpha=\"0.20\", expect_size=\"23552000\"] \n  17 -> 18 [size =\"23552000\"]\n  18 [size=\"156463787\", alpha=\"0.14\", expect_size=\"46939136\"] \n  18 -> 19 [size =\"46939136\"]\n  19 [size=\"72891733\", alpha=\"0.19\", expect_size=\"21867520\"] \n  19 -> 20 [size =\"21867520\"]\n  20 [size=\"162686293\", alpha=\"0.17\", expect_size=\"48805888\"] \n  20 -> 21 [size =\"48805888\"]\n  21 [size=\"57118720\", alpha=\"0.14\", expect_size=\"17135616\"] \n  21 -> 22 [size =\"17135616\"]\n  22 [size=\"156166827\", alpha=\"0.08\", expect_size=\"46850048\"] \n  22 -> 23 [size =\"46850048\"]\n  23 [size=\"122682027\", alpha=\"0.12\", expect_size=\"36804608\"] \n  23 -> 24 [size =\"36804608\"]\n  24 [size=\"112800427\", alpha=\"0.04\", expect_size=\"33840128\"] \n  24 -> 25 [size =\"33840128\"]\n  25 [size=\"100348587\", alpha=\"0.01\", expect_size=\"30104576\"] \n  25 -> 26 [size =\"30104576\"]\n  26 [size=\"118562133\", alpha=\"0.06\", expect_size=\"35568640\"] \n  26 -> 27 [size =\"35568640\"]\n  27 [size=\"27521707\", alpha=\"0.15\", expect_size=\"8256512\"] \n  27 -> 28 [size =\"8256512\"]\n  28 [size=\"24343893\", alpha=\"0.13\", expect_size=\"7303168\"] \n  28 -> 29 [size =\"7303168\"]\n  29 [size=\"137775787\", alpha=\"0.09\", expect_size=\"41332736\"] \n  29 -> 30 [size =\"41332736\"]\n  30 [size=\"127467520\", alpha=\"0.17\", expect_size=\"38240256\"] \n  30 -> 31 [size =\"38240256\"]\n  31 [size=\"104523093\", alpha=\"0.13\", expect_size=\"31356928\"] \n  31 -> 32 [size =\"31356928\"]\n  32 [size=\"54913707\", alpha=\"0.05\", expect_size=\"16474112\"] \n  32 -> 33 [size =\"16474112\"]\n  33 [size=\"116599467\", alpha=\"0.11\", expect_size=\"34979840\"] \n  33 -> 34 [size =\"34979840\"]\n  34 [size=\"53640533\", alpha=\"0.14\", expect_size=\"16092160\"] \n  34 -> 35 [size =\"16092160\"]\n  35 [size=\"83077120\", alpha=\"0.14\", expect_size=\"24923136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80762880\", alpha=\"0.05\", expect_size=\"40381440\"] \n  1 -> 2 [size =\"40381440\"]\n  2 [size=\"89753600\", alpha=\"0.03\", expect_size=\"44876800\"] \n  2 -> 3 [size =\"44876800\"]\n  3 [size=\"87242752\", alpha=\"0.11\", expect_size=\"43621376\"] \n  3 -> 4 [size =\"43621376\"]\n  4 [size=\"17016832\", alpha=\"0.07\", expect_size=\"8508416\"] \n  4 -> 5 [size =\"8508416\"]\n  5 [size=\"12505088\", alpha=\"0.06\", expect_size=\"6252544\"] \n  5 -> 6 [size =\"6252544\"]\n  6 [size=\"101115904\", alpha=\"0.18\", expect_size=\"50557952\"] \n  6 -> 7 [size =\"50557952\"]\n  7 [size=\"70860800\", alpha=\"0.12\", expect_size=\"35430400\"] \n  7 -> 8 [size =\"35430400\"]\n  8 [size=\"18927616\", alpha=\"0.13\", expect_size=\"9463808\"] \n  8 -> 9 [size =\"9463808\"]\n  9 [size=\"57198592\", alpha=\"0.09\", expect_size=\"28599296\"] \n  9 -> 10 [size =\"28599296\"]\n  10 [size=\"98715648\", alpha=\"0.17\", expect_size=\"49357824\"] \n  10 -> 11 [size =\"49357824\"]\n  11 [size=\"59082752\", alpha=\"0.04\", expect_size=\"29541376\"] \n  11 -> 12 [size =\"29541376\"]\n  12 [size=\"84742144\", alpha=\"0.09\", expect_size=\"42371072\"] \n  12 -> 13 [size =\"42371072\"]\n  13 [size=\"101087232\", alpha=\"0.00\", expect_size=\"50543616\"] \n  13 -> 14 [size =\"50543616\"]\n  14 [size=\"56569856\", alpha=\"0.12\", expect_size=\"28284928\"] \n  14 -> 15 [size =\"28284928\"]\n  15 [size=\"89937920\", alpha=\"0.09\", expect_size=\"44968960\"] \n  15 -> 16 [size =\"44968960\"]\n  16 [size=\"25872384\", alpha=\"0.11\", expect_size=\"12936192\"] \n  16 -> 17 [size =\"12936192\"]\n  17 [size=\"18313216\", alpha=\"0.05\", expect_size=\"9156608\"] \n  17 -> 18 [size =\"9156608\"]\n  18 [size=\"76544000\", alpha=\"0.14\", expect_size=\"38272000\"] \n  18 -> 19 [size =\"38272000\"]\n  19 [size=\"44371968\", alpha=\"0.09\", expect_size=\"22185984\"] \n  19 -> 20 [size =\"22185984\"]\n  20 [size=\"89157632\", alpha=\"0.03\", expect_size=\"44578816\"] \n  20 -> 21 [size =\"44578816\"]\n  21 [size=\"74622976\", alpha=\"0.11\", expect_size=\"37311488\"] \n  21 -> 22 [size =\"37311488\"]\n  22 [size=\"95019008\", alpha=\"0.16\", expect_size=\"47509504\"] \n  22 -> 23 [size =\"47509504\"]\n  23 [size=\"42897408\", alpha=\"0.17\", expect_size=\"21448704\"] \n  23 -> 24 [size =\"21448704\"]\n  24 [size=\"43761664\", alpha=\"0.00\", expect_size=\"21880832\"] \n  24 -> 25 [size =\"21880832\"]\n  25 [size=\"101601280\", alpha=\"0.03\", expect_size=\"50800640\"] \n  25 -> 26 [size =\"50800640\"]\n  26 [size=\"50141184\", alpha=\"0.06\", expect_size=\"25070592\"] \n  26 -> 27 [size =\"25070592\"]\n  27 [size=\"99962880\", alpha=\"0.01\", expect_size=\"49981440\"] \n  27 -> 28 [size =\"49981440\"]\n  28 [size=\"27672576\", alpha=\"0.18\", expect_size=\"13836288\"] \n  28 -> 29 [size =\"13836288\"]\n  29 [size=\"93507584\", alpha=\"0.05\", expect_size=\"46753792\"] \n  29 -> 30 [size =\"46753792\"]\n  30 [size=\"42467328\", alpha=\"0.10\", expect_size=\"21233664\"] \n  30 -> 31 [size =\"21233664\"]\n  31 [size=\"54677504\", alpha=\"0.06\", expect_size=\"27338752\"] \n  31 -> 32 [size =\"27338752\"]\n  32 [size=\"11673600\", alpha=\"0.18\", expect_size=\"5836800\"] \n  32 -> 33 [size =\"5836800\"]\n  33 [size=\"87095296\", alpha=\"0.09\", expect_size=\"43547648\"] \n  33 -> 34 [size =\"43547648\"]\n  34 [size=\"74586112\", alpha=\"0.09\", expect_size=\"37293056\"] \n  34 -> 35 [size =\"37293056\"]\n  35 [size=\"75048960\", alpha=\"0.07\", expect_size=\"37524480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90595840\", alpha=\"0.04\", expect_size=\"36238336\"] \n  1 -> 21 [size =\"36238336\"]\n  1 -> 24 [size =\"36238336\"]\n  1 -> 25 [size =\"36238336\"]\n  1 -> 27 [size =\"36238336\"]\n  1 -> 30 [size =\"36238336\"]\n  1 -> 30 [size =\"36238336\"]\n  1 -> 35 [size =\"36238336\"]\n  2 [size=\"123409920\", alpha=\"0.04\", expect_size=\"49363968\"] \n  2 -> 19 [size =\"49363968\"]\n  2 -> 21 [size =\"49363968\"]\n  2 -> 24 [size =\"49363968\"]\n  2 -> 28 [size =\"49363968\"]\n  2 -> 30 [size =\"49363968\"]\n  2 -> 31 [size =\"49363968\"]\n  2 -> 32 [size =\"49363968\"]\n  2 -> 33 [size =\"49363968\"]\n  2 -> 34 [size =\"49363968\"]\n  3 [size=\"127083520\", alpha=\"0.20\", expect_size=\"50833408\"] \n  3 -> 19 [size =\"50833408\"]\n  3 -> 21 [size =\"50833408\"]\n  3 -> 27 [size =\"50833408\"]\n  3 -> 29 [size =\"50833408\"]\n  3 -> 30 [size =\"50833408\"]\n  3 -> 31 [size =\"50833408\"]\n  3 -> 34 [size =\"50833408\"]\n  4 [size=\"89341440\", alpha=\"0.17\", expect_size=\"35736576\"] \n  4 -> 18 [size =\"35736576\"]\n  4 -> 24 [size =\"35736576\"]\n  4 -> 27 [size =\"35736576\"]\n  4 -> 29 [size =\"35736576\"]\n  4 -> 30 [size =\"35736576\"]\n  4 -> 31 [size =\"35736576\"]\n  4 -> 32 [size =\"35736576\"]\n  4 -> 35 [size =\"35736576\"]\n  5 [size=\"74040320\", alpha=\"0.16\", expect_size=\"29616128\"] \n  5 -> 21 [size =\"29616128\"]\n  5 -> 24 [size =\"29616128\"]\n  5 -> 30 [size =\"29616128\"]\n  5 -> 31 [size =\"29616128\"]\n  5 -> 32 [size =\"29616128\"]\n  5 -> 34 [size =\"29616128\"]\n  6 [size=\"102289920\", alpha=\"0.15\", expect_size=\"40915968\"] \n  6 -> 30 [size =\"40915968\"]\n  6 -> 31 [size =\"40915968\"]\n  6 -> 34 [size =\"40915968\"]\n  6 -> 35 [size =\"40915968\"]\n  7 [size=\"114951680\", alpha=\"0.11\", expect_size=\"45980672\"] \n  7 -> 19 [size =\"45980672\"]\n  7 -> 21 [size =\"45980672\"]\n  7 -> 24 [size =\"45980672\"]\n  7 -> 27 [size =\"45980672\"]\n  7 -> 28 [size =\"45980672\"]\n  7 -> 30 [size =\"45980672\"]\n  7 -> 31 [size =\"45980672\"]\n  7 -> 32 [size =\"45980672\"]\n  7 -> 34 [size =\"45980672\"]\n  7 -> 35 [size =\"45980672\"]\n  8 [size=\"55549440\", alpha=\"0.08\", expect_size=\"22219776\"] \n  8 -> 19 [size =\"22219776\"]\n  8 -> 21 [size =\"22219776\"]\n  8 -> 24 [size =\"22219776\"]\n  8 -> 27 [size =\"22219776\"]\n  8 -> 31 [size =\"22219776\"]\n  8 -> 32 [size =\"22219776\"]\n  8 -> 35 [size =\"22219776\"]\n  9 [size=\"90810880\", alpha=\"0.01\", expect_size=\"36324352\"] \n  9 -> 20 [size =\"36324352\"]\n  9 -> 21 [size =\"36324352\"]\n  9 -> 22 [size =\"36324352\"]\n  9 -> 26 [size =\"36324352\"]\n  9 -> 27 [size =\"36324352\"]\n  9 -> 29 [size =\"36324352\"]\n  9 -> 31 [size =\"36324352\"]\n  9 -> 32 [size =\"36324352\"]\n  9 -> 35 [size =\"36324352\"]\n  10 [size=\"119692800\", alpha=\"0.06\", expect_size=\"47877120\"] \n  10 -> 19 [size =\"47877120\"]\n  10 -> 20 [size =\"47877120\"]\n  10 -> 21 [size =\"47877120\"]\n  10 -> 24 [size =\"47877120\"]\n  10 -> 25 [size =\"47877120\"]\n  10 -> 27 [size =\"47877120\"]\n  10 -> 31 [size =\"47877120\"]\n  10 -> 35 [size =\"47877120\"]\n  11 [size=\"52733440\", alpha=\"0.02\", expect_size=\"21093376\"] \n  11 -> 19 [size =\"21093376\"]\n  11 -> 21 [size =\"21093376\"]\n  11 -> 24 [size =\"21093376\"]\n  11 -> 27 [size =\"21093376\"]\n  11 -> 28 [size =\"21093376\"]\n  11 -> 30 [size =\"21093376\"]\n  11 -> 31 [size =\"21093376\"]\n  11 -> 32 [size =\"21093376\"]\n  12 [size=\"76172800\", alpha=\"0.20\", expect_size=\"30469120\"] \n  12 -> 24 [size =\"30469120\"]\n  12 -> 25 [size =\"30469120\"]\n  12 -> 28 [size =\"30469120\"]\n  12 -> 30 [size =\"30469120\"]\n  12 -> 31 [size =\"30469120\"]\n  12 -> 32 [size =\"30469120\"]\n  12 -> 34 [size =\"30469120\"]\n  13 [size=\"97269760\", alpha=\"0.11\", expect_size=\"38907904\"] \n  13 -> 19 [size =\"38907904\"]\n  13 -> 21 [size =\"38907904\"]\n  13 -> 23 [size =\"38907904\"]\n  13 -> 24 [size =\"38907904\"]\n  13 -> 30 [size =\"38907904\"]\n  13 -> 32 [size =\"38907904\"]\n  14 [size=\"95444480\", alpha=\"0.14\", expect_size=\"38177792\"] \n  14 -> 19 [size =\"38177792\"]\n  14 -> 21 [size =\"38177792\"]\n  14 -> 23 [size =\"38177792\"]\n  14 -> 24 [size =\"38177792\"]\n  14 -> 28 [size =\"38177792\"]\n  14 -> 29 [size =\"38177792\"]\n  14 -> 30 [size =\"38177792\"]\n  14 -> 31 [size =\"38177792\"]\n  14 -> 35 [size =\"38177792\"]\n  15 [size=\"77757440\", alpha=\"0.19\", expect_size=\"31102976\"] \n  15 -> 21 [size =\"31102976\"]\n  15 -> 29 [size =\"31102976\"]\n  15 -> 30 [size =\"31102976\"]\n  15 -> 31 [size =\"31102976\"]\n  15 -> 35 [size =\"31102976\"]\n  16 [size=\"54663680\", alpha=\"0.06\", expect_size=\"21865472\"] \n  16 -> 24 [size =\"21865472\"]\n  16 -> 28 [size =\"21865472\"]\n  16 -> 29 [size =\"21865472\"]\n  16 -> 30 [size =\"21865472\"]\n  16 -> 31 [size =\"21865472\"]\n  17 [size=\"25088000\", alpha=\"0.20\", expect_size=\"10035200\"] \n  17 -> 19 [size =\"10035200\"]\n  17 -> 21 [size =\"10035200\"]\n  17 -> 23 [size =\"10035200\"]\n  17 -> 24 [size =\"10035200\"]\n  17 -> 26 [size =\"10035200\"]\n  17 -> 30 [size =\"10035200\"]\n  17 -> 31 [size =\"10035200\"]\n  18 [size=\"92218880\", alpha=\"0.12\", expect_size=\"36887552\"] \n  19 [size=\"20172800\", alpha=\"0.01\", expect_size=\"8069120\"] \n  20 [size=\"28177920\", alpha=\"0.11\", expect_size=\"11271168\"] \n  21 [size=\"65287680\", alpha=\"0.15\", expect_size=\"26115072\"] \n  22 [size=\"75860480\", alpha=\"0.17\", expect_size=\"30344192\"] \n  23 [size=\"75543040\", alpha=\"0.19\", expect_size=\"30217216\"] \n  24 [size=\"23708160\", alpha=\"0.13\", expect_size=\"9483264\"] \n  25 [size=\"107409920\", alpha=\"0.18\", expect_size=\"42963968\"] \n  26 [size=\"100784640\", alpha=\"0.18\", expect_size=\"40313856\"] \n  27 [size=\"16524800\", alpha=\"0.15\", expect_size=\"6609920\"] \n  28 [size=\"14021120\", alpha=\"0.20\", expect_size=\"5608448\"] \n  29 [size=\"86958080\", alpha=\"0.18\", expect_size=\"34783232\"] \n  30 [size=\"90680320\", alpha=\"0.13\", expect_size=\"36272128\"] \n  31 [size=\"38251520\", alpha=\"0.16\", expect_size=\"15300608\"] \n  32 [size=\"125132800\", alpha=\"0.09\", expect_size=\"50053120\"] \n  33 [size=\"107729920\", alpha=\"0.16\", expect_size=\"43091968\"] \n  34 [size=\"100021760\", alpha=\"0.18\", expect_size=\"40008704\"] \n  35 [size=\"60280320\", alpha=\"0.10\", expect_size=\"24112128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35876864\", alpha=\"0.01\", expect_size=\"17938432\"] \n  1 -> 24 [size =\"17938432\"]\n  1 -> 25 [size =\"17938432\"]\n  1 -> 32 [size =\"17938432\"]\n  1 -> 34 [size =\"17938432\"]\n  2 [size=\"46802944\", alpha=\"0.06\", expect_size=\"23401472\"] \n  2 -> 34 [size =\"23401472\"]\n  2 -> 35 [size =\"23401472\"]\n  3 [size=\"65861632\", alpha=\"0.10\", expect_size=\"32930816\"] \n  3 -> 24 [size =\"32930816\"]\n  3 -> 26 [size =\"32930816\"]\n  3 -> 35 [size =\"32930816\"]\n  4 [size=\"103100416\", alpha=\"0.19\", expect_size=\"51550208\"] \n  4 -> 24 [size =\"51550208\"]\n  4 -> 25 [size =\"51550208\"]\n  4 -> 32 [size =\"51550208\"]\n  5 [size=\"11724800\", alpha=\"0.04\", expect_size=\"5862400\"] \n  5 -> 24 [size =\"5862400\"]\n  5 -> 27 [size =\"5862400\"]\n  5 -> 32 [size =\"5862400\"]\n  5 -> 33 [size =\"5862400\"]\n  5 -> 34 [size =\"5862400\"]\n  5 -> 35 [size =\"5862400\"]\n  6 [size=\"86013952\", alpha=\"0.12\", expect_size=\"43006976\"] \n  6 -> 31 [size =\"43006976\"]\n  6 -> 32 [size =\"43006976\"]\n  6 -> 32 [size =\"43006976\"]\n  7 [size=\"60188672\", alpha=\"0.10\", expect_size=\"30094336\"] \n  7 -> 31 [size =\"30094336\"]\n  7 -> 32 [size =\"30094336\"]\n  7 -> 34 [size =\"30094336\"]\n  7 -> 35 [size =\"30094336\"]\n  8 [size=\"69371904\", alpha=\"0.17\", expect_size=\"34685952\"] \n  8 -> 24 [size =\"34685952\"]\n  8 -> 25 [size =\"34685952\"]\n  8 -> 32 [size =\"34685952\"]\n  9 [size=\"67495936\", alpha=\"0.16\", expect_size=\"33747968\"] \n  9 -> 24 [size =\"33747968\"]\n  9 -> 31 [size =\"33747968\"]\n  9 -> 32 [size =\"33747968\"]\n  9 -> 35 [size =\"33747968\"]\n  10 [size=\"63498240\", alpha=\"0.05\", expect_size=\"31749120\"] \n  10 -> 30 [size =\"31749120\"]\n  10 -> 32 [size =\"31749120\"]\n  11 [size=\"41228288\", alpha=\"0.13\", expect_size=\"20614144\"] \n  11 -> 26 [size =\"20614144\"]\n  11 -> 30 [size =\"20614144\"]\n  11 -> 34 [size =\"20614144\"]\n  11 -> 35 [size =\"20614144\"]\n  12 [size=\"48146432\", alpha=\"0.16\", expect_size=\"24073216\"] \n  12 -> 26 [size =\"24073216\"]\n  12 -> 30 [size =\"24073216\"]\n  12 -> 32 [size =\"24073216\"]\n  12 -> 34 [size =\"24073216\"]\n  13 [size=\"74256384\", alpha=\"0.01\", expect_size=\"37128192\"] \n  13 -> 24 [size =\"37128192\"]\n  13 -> 25 [size =\"37128192\"]\n  13 -> 26 [size =\"37128192\"]\n  13 -> 28 [size =\"37128192\"]\n  13 -> 30 [size =\"37128192\"]\n  13 -> 31 [size =\"37128192\"]\n  13 -> 34 [size =\"37128192\"]\n  14 [size=\"28276736\", alpha=\"0.10\", expect_size=\"14138368\"] \n  14 -> 24 [size =\"14138368\"]\n  14 -> 28 [size =\"14138368\"]\n  14 -> 30 [size =\"14138368\"]\n  14 -> 34 [size =\"14138368\"]\n  15 [size=\"24948736\", alpha=\"0.04\", expect_size=\"12474368\"] \n  16 [size=\"42012672\", alpha=\"0.09\", expect_size=\"21006336\"] \n  17 [size=\"97603584\", alpha=\"0.15\", expect_size=\"48801792\"] \n  17 -> 24 [size =\"48801792\"]\n  17 -> 25 [size =\"48801792\"]\n  17 -> 26 [size =\"48801792\"]\n  17 -> 29 [size =\"48801792\"]\n  17 -> 34 [size =\"48801792\"]\n  18 [size=\"49856512\", alpha=\"0.08\", expect_size=\"24928256\"] \n  18 -> 24 [size =\"24928256\"]\n  18 -> 25 [size =\"24928256\"]\n  19 [size=\"37701632\", alpha=\"0.04\", expect_size=\"18850816\"] \n  20 [size=\"17031168\", alpha=\"0.00\", expect_size=\"8515584\"] \n  20 -> 26 [size =\"8515584\"]\n  21 [size=\"40642560\", alpha=\"0.01\", expect_size=\"20321280\"] \n  21 -> 24 [size =\"20321280\"]\n  21 -> 29 [size =\"20321280\"]\n  22 [size=\"104093696\", alpha=\"0.10\", expect_size=\"52046848\"] \n  22 -> 25 [size =\"52046848\"]\n  22 -> 32 [size =\"52046848\"]\n  22 -> 34 [size =\"52046848\"]\n  23 [size=\"86198272\", alpha=\"0.11\", expect_size=\"43099136\"] \n  23 -> 24 [size =\"43099136\"]\n  23 -> 25 [size =\"43099136\"]\n  23 -> 28 [size =\"43099136\"]\n  23 -> 32 [size =\"43099136\"]\n  23 -> 34 [size =\"43099136\"]\n  23 -> 35 [size =\"43099136\"]\n  24 [size=\"91203584\", alpha=\"0.11\", expect_size=\"45601792\"] \n  25 [size=\"45594624\", alpha=\"0.12\", expect_size=\"22797312\"] \n  26 [size=\"63037440\", alpha=\"0.08\", expect_size=\"31518720\"] \n  27 [size=\"103686144\", alpha=\"0.15\", expect_size=\"51843072\"] \n  28 [size=\"80412672\", alpha=\"0.15\", expect_size=\"40206336\"] \n  29 [size=\"21663744\", alpha=\"0.07\", expect_size=\"10831872\"] \n  30 [size=\"41678848\", alpha=\"0.09\", expect_size=\"20839424\"] \n  31 [size=\"42090496\", alpha=\"0.19\", expect_size=\"21045248\"] \n  32 [size=\"48291840\", alpha=\"0.16\", expect_size=\"24145920\"] \n  33 [size=\"96602112\", alpha=\"0.07\", expect_size=\"48301056\"] \n  34 [size=\"53653504\", alpha=\"0.02\", expect_size=\"26826752\"] \n  35 [size=\"12060672\", alpha=\"0.20\", expect_size=\"6030336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158197760\", alpha=\"0.12\", expect_size=\"47459328\"] \n  1 -> 3 [size =\"47459328\"]\n  2 [size=\"147022507\", alpha=\"0.04\", expect_size=\"44106752\"] \n  3 [size=\"168229547\", alpha=\"0.10\", expect_size=\"50468864\"] \n  3 -> 4 [size =\"50468864\"]\n  3 -> 5 [size =\"50468864\"]\n  4 [size=\"118562133\", alpha=\"0.08\", expect_size=\"35568640\"] \n  4 -> 7 [size =\"35568640\"]\n  5 [size=\"49404587\", alpha=\"0.14\", expect_size=\"14821376\"] \n  5 -> 6 [size =\"14821376\"]\n  6 [size=\"27013120\", alpha=\"0.08\", expect_size=\"8103936\"] \n  6 -> 8 [size =\"8103936\"]\n  7 [size=\"91364693\", alpha=\"0.04\", expect_size=\"27409408\"] \n  8 [size=\"132730880\", alpha=\"0.04\", expect_size=\"39819264\"] \n  8 -> 9 [size =\"39819264\"]\n  9 [size=\"145872213\", alpha=\"0.01\", expect_size=\"43761664\"] \n  9 -> 10 [size =\"43761664\"]\n  9 -> 11 [size =\"43761664\"]\n  10 [size=\"166007467\", alpha=\"0.14\", expect_size=\"49802240\"] \n  10 -> 12 [size =\"49802240\"]\n  11 [size=\"154398720\", alpha=\"0.01\", expect_size=\"46319616\"] \n  12 [size=\"87978667\", alpha=\"0.12\", expect_size=\"26393600\"] \n  12 -> 13 [size =\"26393600\"]\n  12 -> 14 [size =\"26393600\"]\n  13 [size=\"122470400\", alpha=\"0.16\", expect_size=\"36741120\"] \n  14 [size=\"46520320\", alpha=\"0.01\", expect_size=\"13956096\"] \n  14 -> 15 [size =\"13956096\"]\n  15 [size=\"107936427\", alpha=\"0.15\", expect_size=\"32380928\"] \n  15 -> 16 [size =\"32380928\"]\n  16 [size=\"63232000\", alpha=\"0.17\", expect_size=\"18969600\"] \n  16 -> 17 [size =\"18969600\"]\n  16 -> 18 [size =\"18969600\"]\n  17 [size=\"128075093\", alpha=\"0.19\", expect_size=\"38422528\"] \n  18 [size=\"162044587\", alpha=\"0.13\", expect_size=\"48613376\"] \n  18 -> 19 [size =\"48613376\"]\n  19 [size=\"37891413\", alpha=\"0.17\", expect_size=\"11367424\"] \n  19 -> 20 [size =\"11367424\"]\n  19 -> 21 [size =\"11367424\"]\n  20 [size=\"43803307\", alpha=\"0.19\", expect_size=\"13140992\"] \n  20 -> 22 [size =\"13140992\"]\n  20 -> 23 [size =\"13140992\"]\n  21 [size=\"154958507\", alpha=\"0.20\", expect_size=\"46487552\"] \n  22 [size=\"166004053\", alpha=\"0.17\", expect_size=\"49801216\"] \n  22 -> 24 [size =\"49801216\"]\n  23 [size=\"101604693\", alpha=\"0.13\", expect_size=\"30481408\"] \n  24 [size=\"66365440\", alpha=\"0.02\", expect_size=\"19909632\"] \n  24 -> 25 [size =\"19909632\"]\n  24 -> 26 [size =\"19909632\"]\n  25 [size=\"74315093\", alpha=\"0.15\", expect_size=\"22294528\"] \n  25 -> 28 [size =\"22294528\"]\n  26 [size=\"37393067\", alpha=\"0.09\", expect_size=\"11217920\"] \n  26 -> 27 [size =\"11217920\"]\n  27 [size=\"170311680\", alpha=\"0.12\", expect_size=\"51093504\"] \n  27 -> 29 [size =\"51093504\"]\n  28 [size=\"163164160\", alpha=\"0.10\", expect_size=\"48949248\"] \n  29 [size=\"104929280\", alpha=\"0.05\", expect_size=\"31478784\"] \n  29 -> 30 [size =\"31478784\"]\n  29 -> 31 [size =\"31478784\"]\n  30 [size=\"80667307\", alpha=\"0.18\", expect_size=\"24200192\"] \n  31 [size=\"76018347\", alpha=\"0.09\", expect_size=\"22805504\"] \n  31 -> 32 [size =\"22805504\"]\n  31 -> 33 [size =\"22805504\"]\n  32 [size=\"74424320\", alpha=\"0.09\", expect_size=\"22327296\"] \n  33 [size=\"48138240\", alpha=\"0.02\", expect_size=\"14441472\"] \n  33 -> 34 [size =\"14441472\"]\n  33 -> 35 [size =\"14441472\"]\n  34 [size=\"147923627\", alpha=\"0.19\", expect_size=\"44377088\"] \n  35 [size=\"160293547\", alpha=\"0.07\", expect_size=\"48088064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69109760\", alpha=\"0.16\", expect_size=\"27643904\"] \n  1 -> 22 [size =\"27643904\"]\n  1 -> 23 [size =\"27643904\"]\n  1 -> 34 [size =\"27643904\"]\n  1 -> 35 [size =\"27643904\"]\n  2 [size=\"44034560\", alpha=\"0.09\", expect_size=\"17613824\"] \n  2 -> 27 [size =\"17613824\"]\n  2 -> 28 [size =\"17613824\"]\n  2 -> 35 [size =\"17613824\"]\n  3 [size=\"107660800\", alpha=\"0.01\", expect_size=\"43064320\"] \n  3 -> 25 [size =\"43064320\"]\n  3 -> 29 [size =\"43064320\"]\n  3 -> 30 [size =\"43064320\"]\n  3 -> 32 [size =\"43064320\"]\n  3 -> 33 [size =\"43064320\"]\n  3 -> 34 [size =\"43064320\"]\n  4 [size=\"27294720\", alpha=\"0.13\", expect_size=\"10917888\"] \n  4 -> 27 [size =\"10917888\"]\n  4 -> 28 [size =\"10917888\"]\n  4 -> 30 [size =\"10917888\"]\n  4 -> 34 [size =\"10917888\"]\n  5 [size=\"127421440\", alpha=\"0.18\", expect_size=\"50968576\"] \n  5 -> 23 [size =\"50968576\"]\n  5 -> 25 [size =\"50968576\"]\n  5 -> 28 [size =\"50968576\"]\n  6 [size=\"53780480\", alpha=\"0.04\", expect_size=\"21512192\"] \n  6 -> 23 [size =\"21512192\"]\n  6 -> 25 [size =\"21512192\"]\n  6 -> 34 [size =\"21512192\"]\n  7 [size=\"107591680\", alpha=\"0.16\", expect_size=\"43036672\"] \n  7 -> 23 [size =\"43036672\"]\n  7 -> 25 [size =\"43036672\"]\n  7 -> 28 [size =\"43036672\"]\n  7 -> 29 [size =\"43036672\"]\n  7 -> 34 [size =\"43036672\"]\n  8 [size=\"23756800\", alpha=\"0.05\", expect_size=\"9502720\"] \n  8 -> 23 [size =\"9502720\"]\n  8 -> 24 [size =\"9502720\"]\n  8 -> 34 [size =\"9502720\"]\n  8 -> 35 [size =\"9502720\"]\n  9 [size=\"62819840\", alpha=\"0.03\", expect_size=\"25127936\"] \n  9 -> 24 [size =\"25127936\"]\n  9 -> 25 [size =\"25127936\"]\n  9 -> 29 [size =\"25127936\"]\n  9 -> 32 [size =\"25127936\"]\n  9 -> 34 [size =\"25127936\"]\n  9 -> 35 [size =\"25127936\"]\n  10 [size=\"47449600\", alpha=\"0.11\", expect_size=\"18979840\"] \n  10 -> 22 [size =\"18979840\"]\n  10 -> 24 [size =\"18979840\"]\n  10 -> 32 [size =\"18979840\"]\n  10 -> 34 [size =\"18979840\"]\n  10 -> 34 [size =\"18979840\"]\n  10 -> 35 [size =\"18979840\"]\n  11 [size=\"36989440\", alpha=\"0.15\", expect_size=\"14795776\"] \n  11 -> 23 [size =\"14795776\"]\n  11 -> 24 [size =\"14795776\"]\n  11 -> 26 [size =\"14795776\"]\n  11 -> 28 [size =\"14795776\"]\n  11 -> 32 [size =\"14795776\"]\n  11 -> 33 [size =\"14795776\"]\n  11 -> 34 [size =\"14795776\"]\n  12 [size=\"13813760\", alpha=\"0.06\", expect_size=\"5525504\"] \n  12 -> 27 [size =\"5525504\"]\n  12 -> 29 [size =\"5525504\"]\n  12 -> 33 [size =\"5525504\"]\n  12 -> 34 [size =\"5525504\"]\n  12 -> 35 [size =\"5525504\"]\n  13 [size=\"66887680\", alpha=\"0.18\", expect_size=\"26755072\"] \n  13 -> 24 [size =\"26755072\"]\n  13 -> 27 [size =\"26755072\"]\n  13 -> 28 [size =\"26755072\"]\n  13 -> 29 [size =\"26755072\"]\n  13 -> 30 [size =\"26755072\"]\n  13 -> 31 [size =\"26755072\"]\n  13 -> 32 [size =\"26755072\"]\n  13 -> 33 [size =\"26755072\"]\n  14 [size=\"71912960\", alpha=\"0.09\", expect_size=\"28765184\"] \n  14 -> 22 [size =\"28765184\"]\n  14 -> 23 [size =\"28765184\"]\n  14 -> 27 [size =\"28765184\"]\n  14 -> 28 [size =\"28765184\"]\n  14 -> 30 [size =\"28765184\"]\n  14 -> 32 [size =\"28765184\"]\n  14 -> 33 [size =\"28765184\"]\n  15 [size=\"32092160\", alpha=\"0.09\", expect_size=\"12836864\"] \n  15 -> 22 [size =\"12836864\"]\n  15 -> 23 [size =\"12836864\"]\n  15 -> 26 [size =\"12836864\"]\n  15 -> 27 [size =\"12836864\"]\n  15 -> 28 [size =\"12836864\"]\n  15 -> 29 [size =\"12836864\"]\n  15 -> 32 [size =\"12836864\"]\n  15 -> 33 [size =\"12836864\"]\n  15 -> 34 [size =\"12836864\"]\n  16 [size=\"19860480\", alpha=\"0.19\", expect_size=\"7944192\"] \n  16 -> 23 [size =\"7944192\"]\n  16 -> 23 [size =\"7944192\"]\n  16 -> 24 [size =\"7944192\"]\n  16 -> 27 [size =\"7944192\"]\n  16 -> 32 [size =\"7944192\"]\n  16 -> 33 [size =\"7944192\"]\n  16 -> 34 [size =\"7944192\"]\n  17 [size=\"46248960\", alpha=\"0.20\", expect_size=\"18499584\"] \n  17 -> 25 [size =\"18499584\"]\n  17 -> 27 [size =\"18499584\"]\n  17 -> 28 [size =\"18499584\"]\n  17 -> 32 [size =\"18499584\"]\n  17 -> 33 [size =\"18499584\"]\n  17 -> 34 [size =\"18499584\"]\n  18 [size=\"21539840\", alpha=\"0.00\", expect_size=\"8615936\"] \n  18 -> 23 [size =\"8615936\"]\n  18 -> 24 [size =\"8615936\"]\n  18 -> 27 [size =\"8615936\"]\n  18 -> 28 [size =\"8615936\"]\n  18 -> 29 [size =\"8615936\"]\n  19 [size=\"53532160\", alpha=\"0.02\", expect_size=\"21412864\"] \n  19 -> 23 [size =\"21412864\"]\n  19 -> 24 [size =\"21412864\"]\n  19 -> 25 [size =\"21412864\"]\n  19 -> 27 [size =\"21412864\"]\n  19 -> 32 [size =\"21412864\"]\n  19 -> 33 [size =\"21412864\"]\n  20 [size=\"68979200\", alpha=\"0.07\", expect_size=\"27591680\"] \n  20 -> 23 [size =\"27591680\"]\n  20 -> 24 [size =\"27591680\"]\n  20 -> 27 [size =\"27591680\"]\n  20 -> 27 [size =\"27591680\"]\n  20 -> 28 [size =\"27591680\"]\n  20 -> 29 [size =\"27591680\"]\n  20 -> 32 [size =\"27591680\"]\n  20 -> 34 [size =\"27591680\"]\n  21 [size=\"13552640\", alpha=\"0.01\", expect_size=\"5421056\"] \n  21 -> 23 [size =\"5421056\"]\n  21 -> 24 [size =\"5421056\"]\n  21 -> 25 [size =\"5421056\"]\n  21 -> 27 [size =\"5421056\"]\n  21 -> 32 [size =\"5421056\"]\n  22 [size=\"99491840\", alpha=\"0.00\", expect_size=\"39796736\"] \n  23 [size=\"17576960\", alpha=\"0.16\", expect_size=\"7030784\"] \n  24 [size=\"121497600\", alpha=\"0.14\", expect_size=\"48599040\"] \n  25 [size=\"55751680\", alpha=\"0.11\", expect_size=\"22300672\"] \n  26 [size=\"107737600\", alpha=\"0.15\", expect_size=\"43095040\"] \n  27 [size=\"101749760\", alpha=\"0.15\", expect_size=\"40699904\"] \n  28 [size=\"98979840\", alpha=\"0.17\", expect_size=\"39591936\"] \n  29 [size=\"99476480\", alpha=\"0.08\", expect_size=\"39790592\"] \n  30 [size=\"111610880\", alpha=\"0.04\", expect_size=\"44644352\"] \n  31 [size=\"33443840\", alpha=\"0.04\", expect_size=\"13377536\"] \n  32 [size=\"38947840\", alpha=\"0.04\", expect_size=\"15579136\"] \n  33 [size=\"41085440\", alpha=\"0.14\", expect_size=\"16434176\"] \n  34 [size=\"16445440\", alpha=\"0.13\", expect_size=\"6578176\"] \n  35 [size=\"97182720\", alpha=\"0.16\", expect_size=\"38873088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118862507\", alpha=\"0.17\", expect_size=\"35658752\"] \n  1 -> 3 [size =\"35658752\"]\n  1 -> 4 [size =\"35658752\"]\n  2 [size=\"95832747\", alpha=\"0.07\", expect_size=\"28749824\"] \n  2 -> 3 [size =\"28749824\"]\n  2 -> 4 [size =\"28749824\"]\n  3 [size=\"18124800\", alpha=\"0.09\", expect_size=\"5437440\"] \n  3 -> 5 [size =\"5437440\"]\n  3 -> 6 [size =\"5437440\"]\n  4 [size=\"172404053\", alpha=\"0.04\", expect_size=\"51721216\"] \n  4 -> 6 [size =\"51721216\"]\n  5 [size=\"107134293\", alpha=\"0.07\", expect_size=\"32140288\"] \n  5 -> 7 [size =\"32140288\"]\n  6 [size=\"61532160\", alpha=\"0.08\", expect_size=\"18459648\"] \n  6 -> 7 [size =\"18459648\"]\n  7 [size=\"48998400\", alpha=\"0.20\", expect_size=\"14699520\"] \n  7 -> 8 [size =\"14699520\"]\n  8 [size=\"120357547\", alpha=\"0.15\", expect_size=\"36107264\"] \n  8 -> 9 [size =\"36107264\"]\n  8 -> 10 [size =\"36107264\"]\n  9 [size=\"114715307\", alpha=\"0.01\", expect_size=\"34414592\"] \n  9 -> 11 [size =\"34414592\"]\n  9 -> 12 [size =\"34414592\"]\n  10 [size=\"97068373\", alpha=\"0.12\", expect_size=\"29120512\"] \n  10 -> 11 [size =\"29120512\"]\n  10 -> 12 [size =\"29120512\"]\n  11 [size=\"91289600\", alpha=\"0.16\", expect_size=\"27386880\"] \n  11 -> 13 [size =\"27386880\"]\n  12 [size=\"68283733\", alpha=\"0.11\", expect_size=\"20485120\"] \n  12 -> 13 [size =\"20485120\"]\n  13 [size=\"125904213\", alpha=\"0.08\", expect_size=\"37771264\"] \n  13 -> 14 [size =\"37771264\"]\n  13 -> 15 [size =\"37771264\"]\n  14 [size=\"39249920\", alpha=\"0.17\", expect_size=\"11774976\"] \n  14 -> 16 [size =\"11774976\"]\n  15 [size=\"69464747\", alpha=\"0.12\", expect_size=\"20839424\"] \n  15 -> 16 [size =\"20839424\"]\n  16 [size=\"127675733\", alpha=\"0.04\", expect_size=\"38302720\"] \n  16 -> 17 [size =\"38302720\"]\n  16 -> 18 [size =\"38302720\"]\n  17 [size=\"36020907\", alpha=\"0.01\", expect_size=\"10806272\"] \n  17 -> 19 [size =\"10806272\"]\n  18 [size=\"33979733\", alpha=\"0.15\", expect_size=\"10193920\"] \n  18 -> 19 [size =\"10193920\"]\n  19 [size=\"153873067\", alpha=\"0.08\", expect_size=\"46161920\"] \n  19 -> 20 [size =\"46161920\"]\n  19 -> 21 [size =\"46161920\"]\n  20 [size=\"158935040\", alpha=\"0.19\", expect_size=\"47680512\"] \n  20 -> 22 [size =\"47680512\"]\n  20 -> 23 [size =\"47680512\"]\n  21 [size=\"94648320\", alpha=\"0.02\", expect_size=\"28394496\"] \n  21 -> 22 [size =\"28394496\"]\n  21 -> 23 [size =\"28394496\"]\n  22 [size=\"63276373\", alpha=\"0.16\", expect_size=\"18982912\"] \n  22 -> 24 [size =\"18982912\"]\n  22 -> 25 [size =\"18982912\"]\n  23 [size=\"149005653\", alpha=\"0.09\", expect_size=\"44701696\"] \n  23 -> 24 [size =\"44701696\"]\n  23 -> 25 [size =\"44701696\"]\n  24 [size=\"51101013\", alpha=\"0.03\", expect_size=\"15330304\"] \n  24 -> 26 [size =\"15330304\"]\n  24 -> 27 [size =\"15330304\"]\n  25 [size=\"24046933\", alpha=\"0.07\", expect_size=\"7214080\"] \n  25 -> 26 [size =\"7214080\"]\n  26 [size=\"121460053\", alpha=\"0.18\", expect_size=\"36438016\"] \n  26 -> 28 [size =\"36438016\"]\n  27 [size=\"154910720\", alpha=\"0.12\", expect_size=\"46473216\"] \n  27 -> 28 [size =\"46473216\"]\n  28 [size=\"163416747\", alpha=\"0.20\", expect_size=\"49025024\"] \n  28 -> 29 [size =\"49025024\"]\n  28 -> 30 [size =\"49025024\"]\n  29 [size=\"126313813\", alpha=\"0.19\", expect_size=\"37894144\"] \n  29 -> 32 [size =\"37894144\"]\n  30 [size=\"31440213\", alpha=\"0.09\", expect_size=\"9432064\"] \n  30 -> 31 [size =\"9432064\"]\n  31 [size=\"20640427\", alpha=\"0.09\", expect_size=\"6192128\"] \n  31 -> 33 [size =\"6192128\"]\n  31 -> 34 [size =\"6192128\"]\n  32 [size=\"38021120\", alpha=\"0.14\", expect_size=\"11406336\"] \n  32 -> 33 [size =\"11406336\"]\n  33 [size=\"161931947\", alpha=\"0.14\", expect_size=\"48579584\"] \n  33 -> 35 [size =\"48579584\"]\n  34 [size=\"78458880\", alpha=\"0.16\", expect_size=\"23537664\"] \n  35 [size=\"99812693\", alpha=\"0.05\", expect_size=\"29943808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126600533\", alpha=\"0.11\", expect_size=\"37980160\"] \n  1 -> 27 [size =\"37980160\"]\n  1 -> 29 [size =\"37980160\"]\n  1 -> 34 [size =\"37980160\"]\n  2 [size=\"41963520\", alpha=\"0.13\", expect_size=\"12589056\"] \n  2 -> 31 [size =\"12589056\"]\n  2 -> 33 [size =\"12589056\"]\n  3 [size=\"101761707\", alpha=\"0.12\", expect_size=\"30528512\"] \n  4 [size=\"61958827\", alpha=\"0.08\", expect_size=\"18587648\"] \n  4 -> 30 [size =\"18587648\"]\n  4 -> 32 [size =\"18587648\"]\n  4 -> 34 [size =\"18587648\"]\n  5 [size=\"88818347\", alpha=\"0.03\", expect_size=\"26645504\"] \n  5 -> 24 [size =\"26645504\"]\n  5 -> 27 [size =\"26645504\"]\n  5 -> 29 [size =\"26645504\"]\n  5 -> 31 [size =\"26645504\"]\n  5 -> 32 [size =\"26645504\"]\n  6 [size=\"162764800\", alpha=\"0.18\", expect_size=\"48829440\"] \n  6 -> 26 [size =\"48829440\"]\n  6 -> 27 [size =\"48829440\"]\n  6 -> 28 [size =\"48829440\"]\n  6 -> 29 [size =\"48829440\"]\n  6 -> 34 [size =\"48829440\"]\n  6 -> 35 [size =\"48829440\"]\n  7 [size=\"114493440\", alpha=\"0.13\", expect_size=\"34348032\"] \n  7 -> 24 [size =\"34348032\"]\n  7 -> 30 [size =\"34348032\"]\n  7 -> 32 [size =\"34348032\"]\n  7 -> 35 [size =\"34348032\"]\n  8 [size=\"112885760\", alpha=\"0.14\", expect_size=\"33865728\"] \n  8 -> 26 [size =\"33865728\"]\n  8 -> 28 [size =\"33865728\"]\n  8 -> 30 [size =\"33865728\"]\n  8 -> 32 [size =\"33865728\"]\n  9 [size=\"143117653\", alpha=\"0.01\", expect_size=\"42935296\"] \n  9 -> 28 [size =\"42935296\"]\n  9 -> 30 [size =\"42935296\"]\n  10 [size=\"110680747\", alpha=\"0.08\", expect_size=\"33204224\"] \n  10 -> 27 [size =\"33204224\"]\n  11 [size=\"43496107\", alpha=\"0.07\", expect_size=\"13048832\"] \n  11 -> 27 [size =\"13048832\"]\n  12 [size=\"130106027\", alpha=\"0.08\", expect_size=\"39031808\"] \n  12 -> 27 [size =\"39031808\"]\n  12 -> 28 [size =\"39031808\"]\n  13 [size=\"73960107\", alpha=\"0.17\", expect_size=\"22188032\"] \n  13 -> 26 [size =\"22188032\"]\n  13 -> 30 [size =\"22188032\"]\n  13 -> 35 [size =\"22188032\"]\n  14 [size=\"167697067\", alpha=\"0.00\", expect_size=\"50309120\"] \n  14 -> 25 [size =\"50309120\"]\n  14 -> 30 [size =\"50309120\"]\n  15 [size=\"71427413\", alpha=\"0.17\", expect_size=\"21428224\"] \n  15 -> 26 [size =\"21428224\"]\n  15 -> 31 [size =\"21428224\"]\n  15 -> 32 [size =\"21428224\"]\n  16 [size=\"94160213\", alpha=\"0.13\", expect_size=\"28248064\"] \n  16 -> 25 [size =\"28248064\"]\n  16 -> 27 [size =\"28248064\"]\n  16 -> 29 [size =\"28248064\"]\n  16 -> 34 [size =\"28248064\"]\n  17 [size=\"77946880\", alpha=\"0.09\", expect_size=\"23384064\"] \n  17 -> 27 [size =\"23384064\"]\n  17 -> 30 [size =\"23384064\"]\n  17 -> 31 [size =\"23384064\"]\n  18 [size=\"20125013\", alpha=\"0.08\", expect_size=\"6037504\"] \n  18 -> 33 [size =\"6037504\"]\n  18 -> 35 [size =\"6037504\"]\n  19 [size=\"134092800\", alpha=\"0.07\", expect_size=\"40227840\"] \n  19 -> 30 [size =\"40227840\"]\n  19 -> 31 [size =\"40227840\"]\n  19 -> 34 [size =\"40227840\"]\n  20 [size=\"140977493\", alpha=\"0.01\", expect_size=\"42293248\"] \n  20 -> 24 [size =\"42293248\"]\n  20 -> 27 [size =\"42293248\"]\n  20 -> 28 [size =\"42293248\"]\n  20 -> 30 [size =\"42293248\"]\n  20 -> 35 [size =\"42293248\"]\n  21 [size=\"44096853\", alpha=\"0.10\", expect_size=\"13229056\"] \n  21 -> 26 [size =\"13229056\"]\n  21 -> 30 [size =\"13229056\"]\n  22 [size=\"102570667\", alpha=\"0.02\", expect_size=\"30771200\"] \n  22 -> 26 [size =\"30771200\"]\n  22 -> 29 [size =\"30771200\"]\n  22 -> 30 [size =\"30771200\"]\n  22 -> 33 [size =\"30771200\"]\n  23 [size=\"166034773\", alpha=\"0.05\", expect_size=\"49810432\"] \n  23 -> 25 [size =\"49810432\"]\n  23 -> 27 [size =\"49810432\"]\n  23 -> 28 [size =\"49810432\"]\n  23 -> 30 [size =\"49810432\"]\n  24 [size=\"139294720\", alpha=\"0.13\", expect_size=\"41788416\"] \n  25 [size=\"141144747\", alpha=\"0.10\", expect_size=\"42343424\"] \n  26 [size=\"120057173\", alpha=\"0.06\", expect_size=\"36017152\"] \n  27 [size=\"67904853\", alpha=\"0.14\", expect_size=\"20371456\"] \n  28 [size=\"136782507\", alpha=\"0.14\", expect_size=\"41034752\"] \n  29 [size=\"44646400\", alpha=\"0.10\", expect_size=\"13393920\"] \n  30 [size=\"96716800\", alpha=\"0.18\", expect_size=\"29015040\"] \n  31 [size=\"108192427\", alpha=\"0.10\", expect_size=\"32457728\"] \n  32 [size=\"30904320\", alpha=\"0.15\", expect_size=\"9271296\"] \n  33 [size=\"46629547\", alpha=\"0.08\", expect_size=\"13988864\"] \n  34 [size=\"82370560\", alpha=\"0.00\", expect_size=\"24711168\"] \n  35 [size=\"25323520\", alpha=\"0.19\", expect_size=\"7597056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48945152\", alpha=\"0.15\", expect_size=\"24472576\"] \n  1 -> 14 [size =\"24472576\"]\n  1 -> 20 [size =\"24472576\"]\n  1 -> 20 [size =\"24472576\"]\n  2 [size=\"31209472\", alpha=\"0.02\", expect_size=\"15604736\"] \n  2 -> 14 [size =\"15604736\"]\n  2 -> 15 [size =\"15604736\"]\n  2 -> 17 [size =\"15604736\"]\n  2 -> 20 [size =\"15604736\"]\n  3 [size=\"19791872\", alpha=\"0.19\", expect_size=\"9895936\"] \n  3 -> 12 [size =\"9895936\"]\n  3 -> 14 [size =\"9895936\"]\n  3 -> 17 [size =\"9895936\"]\n  4 [size=\"102199296\", alpha=\"0.05\", expect_size=\"51099648\"] \n  4 -> 12 [size =\"51099648\"]\n  4 -> 14 [size =\"51099648\"]\n  4 -> 16 [size =\"51099648\"]\n  5 [size=\"103356416\", alpha=\"0.13\", expect_size=\"51678208\"] \n  5 -> 12 [size =\"51678208\"]\n  6 [size=\"28614656\", alpha=\"0.07\", expect_size=\"14307328\"] \n  6 -> 11 [size =\"14307328\"]\n  6 -> 12 [size =\"14307328\"]\n  6 -> 13 [size =\"14307328\"]\n  6 -> 21 [size =\"14307328\"]\n  7 [size=\"58023936\", alpha=\"0.08\", expect_size=\"29011968\"] \n  7 -> 12 [size =\"29011968\"]\n  7 -> 13 [size =\"29011968\"]\n  7 -> 16 [size =\"29011968\"]\n  7 -> 18 [size =\"29011968\"]\n  7 -> 19 [size =\"29011968\"]\n  7 -> 21 [size =\"29011968\"]\n  8 [size=\"23883776\", alpha=\"0.05\", expect_size=\"11941888\"] \n  8 -> 11 [size =\"11941888\"]\n  8 -> 13 [size =\"11941888\"]\n  8 -> 15 [size =\"11941888\"]\n  8 -> 16 [size =\"11941888\"]\n  8 -> 17 [size =\"11941888\"]\n  8 -> 18 [size =\"11941888\"]\n  9 [size=\"27408384\", alpha=\"0.18\", expect_size=\"13704192\"] \n  9 -> 14 [size =\"13704192\"]\n  9 -> 15 [size =\"13704192\"]\n  9 -> 15 [size =\"13704192\"]\n  9 -> 16 [size =\"13704192\"]\n  9 -> 17 [size =\"13704192\"]\n  10 [size=\"31848448\", alpha=\"0.14\", expect_size=\"15924224\"] \n  10 -> 15 [size =\"15924224\"]\n  10 -> 18 [size =\"15924224\"]\n  10 -> 20 [size =\"15924224\"]\n  11 [size=\"42803200\", alpha=\"0.06\", expect_size=\"21401600\"] \n  11 -> 22 [size =\"21401600\"]\n  11 -> 23 [size =\"21401600\"]\n  11 -> 24 [size =\"21401600\"]\n  11 -> 31 [size =\"21401600\"]\n  12 [size=\"18233344\", alpha=\"0.09\", expect_size=\"9116672\"] \n  12 -> 22 [size =\"9116672\"]\n  12 -> 33 [size =\"9116672\"]\n  13 [size=\"25694208\", alpha=\"0.00\", expect_size=\"12847104\"] \n  13 -> 26 [size =\"12847104\"]\n  13 -> 28 [size =\"12847104\"]\n  13 -> 31 [size =\"12847104\"]\n  13 -> 33 [size =\"12847104\"]\n  14 [size=\"22345728\", alpha=\"0.09\", expect_size=\"11172864\"] \n  14 -> 24 [size =\"11172864\"]\n  14 -> 27 [size =\"11172864\"]\n  14 -> 30 [size =\"11172864\"]\n  14 -> 31 [size =\"11172864\"]\n  15 [size=\"45928448\", alpha=\"0.17\", expect_size=\"22964224\"] \n  15 -> 27 [size =\"22964224\"]\n  15 -> 28 [size =\"22964224\"]\n  15 -> 29 [size =\"22964224\"]\n  15 -> 31 [size =\"22964224\"]\n  15 -> 33 [size =\"22964224\"]\n  16 [size=\"13953024\", alpha=\"0.02\", expect_size=\"6976512\"] \n  16 -> 22 [size =\"6976512\"]\n  16 -> 23 [size =\"6976512\"]\n  16 -> 26 [size =\"6976512\"]\n  16 -> 27 [size =\"6976512\"]\n  16 -> 29 [size =\"6976512\"]\n  16 -> 33 [size =\"6976512\"]\n  17 [size=\"46530560\", alpha=\"0.18\", expect_size=\"23265280\"] \n  17 -> 25 [size =\"23265280\"]\n  17 -> 27 [size =\"23265280\"]\n  17 -> 30 [size =\"23265280\"]\n  18 [size=\"83978240\", alpha=\"0.02\", expect_size=\"41989120\"] \n  18 -> 24 [size =\"41989120\"]\n  18 -> 26 [size =\"41989120\"]\n  18 -> 27 [size =\"41989120\"]\n  18 -> 29 [size =\"41989120\"]\n  18 -> 30 [size =\"41989120\"]\n  18 -> 32 [size =\"41989120\"]\n  18 -> 33 [size =\"41989120\"]\n  19 [size=\"14352384\", alpha=\"0.15\", expect_size=\"7176192\"] \n  19 -> 22 [size =\"7176192\"]\n  19 -> 24 [size =\"7176192\"]\n  19 -> 26 [size =\"7176192\"]\n  19 -> 28 [size =\"7176192\"]\n  20 [size=\"101177344\", alpha=\"0.17\", expect_size=\"50588672\"] \n  20 -> 24 [size =\"50588672\"]\n  20 -> 26 [size =\"50588672\"]\n  20 -> 31 [size =\"50588672\"]\n  21 [size=\"73746432\", alpha=\"0.06\", expect_size=\"36873216\"] \n  21 -> 29 [size =\"36873216\"]\n  21 -> 30 [size =\"36873216\"]\n  21 -> 31 [size =\"36873216\"]\n  22 [size=\"101593088\", alpha=\"0.20\", expect_size=\"50796544\"] \n  23 [size=\"47632384\", alpha=\"0.16\", expect_size=\"23816192\"] \n  23 -> 35 [size =\"23816192\"]\n  24 [size=\"49391616\", alpha=\"0.11\", expect_size=\"24695808\"] \n  25 [size=\"90552320\", alpha=\"0.06\", expect_size=\"45276160\"] \n  25 -> 34 [size =\"45276160\"]\n  26 [size=\"77864960\", alpha=\"0.05\", expect_size=\"38932480\"] \n  26 -> 34 [size =\"38932480\"]\n  27 [size=\"87287808\", alpha=\"0.13\", expect_size=\"43643904\"] \n  27 -> 35 [size =\"43643904\"]\n  28 [size=\"79378432\", alpha=\"0.05\", expect_size=\"39689216\"] \n  29 [size=\"88408064\", alpha=\"0.00\", expect_size=\"44204032\"] \n  30 [size=\"66646016\", alpha=\"0.00\", expect_size=\"33323008\"] \n  30 -> 34 [size =\"33323008\"]\n  31 [size=\"50872320\", alpha=\"0.07\", expect_size=\"25436160\"] \n  31 -> 34 [size =\"25436160\"]\n  32 [size=\"79550464\", alpha=\"0.15\", expect_size=\"39775232\"] \n  33 [size=\"79030272\", alpha=\"0.06\", expect_size=\"39515136\"] \n  33 -> 35 [size =\"39515136\"]\n  34 [size=\"58619904\", alpha=\"0.00\", expect_size=\"29309952\"] \n  35 [size=\"15659008\", alpha=\"0.02\", expect_size=\"7829504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105018880\", alpha=\"0.09\", expect_size=\"42007552\"] \n  1 -> 13 [size =\"42007552\"]\n  1 -> 16 [size =\"42007552\"]\n  1 -> 20 [size =\"42007552\"]\n  1 -> 21 [size =\"42007552\"]\n  1 -> 22 [size =\"42007552\"]\n  2 [size=\"50147840\", alpha=\"0.05\", expect_size=\"20059136\"] \n  2 -> 13 [size =\"20059136\"]\n  2 -> 16 [size =\"20059136\"]\n  2 -> 17 [size =\"20059136\"]\n  2 -> 19 [size =\"20059136\"]\n  2 -> 20 [size =\"20059136\"]\n  2 -> 21 [size =\"20059136\"]\n  3 [size=\"27599360\", alpha=\"0.15\", expect_size=\"11039744\"] \n  3 -> 13 [size =\"11039744\"]\n  3 -> 15 [size =\"11039744\"]\n  3 -> 16 [size =\"11039744\"]\n  3 -> 17 [size =\"11039744\"]\n  3 -> 20 [size =\"11039744\"]\n  4 [size=\"22755840\", alpha=\"0.03\", expect_size=\"9102336\"] \n  4 -> 13 [size =\"9102336\"]\n  4 -> 16 [size =\"9102336\"]\n  4 -> 17 [size =\"9102336\"]\n  4 -> 17 [size =\"9102336\"]\n  5 [size=\"54991360\", alpha=\"0.01\", expect_size=\"21996544\"] \n  5 -> 12 [size =\"21996544\"]\n  5 -> 15 [size =\"21996544\"]\n  5 -> 18 [size =\"21996544\"]\n  5 -> 19 [size =\"21996544\"]\n  6 [size=\"75051520\", alpha=\"0.19\", expect_size=\"30020608\"] \n  6 -> 15 [size =\"30020608\"]\n  6 -> 16 [size =\"30020608\"]\n  7 [size=\"121699840\", alpha=\"0.07\", expect_size=\"48679936\"] \n  7 -> 19 [size =\"48679936\"]\n  7 -> 20 [size =\"48679936\"]\n  8 [size=\"85527040\", alpha=\"0.03\", expect_size=\"34210816\"] \n  8 -> 13 [size =\"34210816\"]\n  8 -> 17 [size =\"34210816\"]\n  8 -> 20 [size =\"34210816\"]\n  8 -> 21 [size =\"34210816\"]\n  8 -> 22 [size =\"34210816\"]\n  9 [size=\"57950720\", alpha=\"0.13\", expect_size=\"23180288\"] \n  9 -> 12 [size =\"23180288\"]\n  10 [size=\"89397760\", alpha=\"0.11\", expect_size=\"35759104\"] \n  10 -> 13 [size =\"35759104\"]\n  10 -> 16 [size =\"35759104\"]\n  10 -> 21 [size =\"35759104\"]\n  11 [size=\"120007680\", alpha=\"0.12\", expect_size=\"48003072\"] \n  11 -> 13 [size =\"48003072\"]\n  11 -> 14 [size =\"48003072\"]\n  11 -> 15 [size =\"48003072\"]\n  11 -> 17 [size =\"48003072\"]\n  11 -> 19 [size =\"48003072\"]\n  11 -> 21 [size =\"48003072\"]\n  12 [size=\"56936960\", alpha=\"0.07\", expect_size=\"22774784\"] \n  12 -> 23 [size =\"22774784\"]\n  12 -> 24 [size =\"22774784\"]\n  12 -> 25 [size =\"22774784\"]\n  12 -> 26 [size =\"22774784\"]\n  12 -> 28 [size =\"22774784\"]\n  12 -> 31 [size =\"22774784\"]\n  12 -> 32 [size =\"22774784\"]\n  12 -> 33 [size =\"22774784\"]\n  12 -> 34 [size =\"22774784\"]\n  13 [size=\"86737920\", alpha=\"0.15\", expect_size=\"34695168\"] \n  13 -> 25 [size =\"34695168\"]\n  13 -> 26 [size =\"34695168\"]\n  13 -> 29 [size =\"34695168\"]\n  14 [size=\"59834880\", alpha=\"0.13\", expect_size=\"23933952\"] \n  14 -> 23 [size =\"23933952\"]\n  14 -> 30 [size =\"23933952\"]\n  14 -> 33 [size =\"23933952\"]\n  14 -> 34 [size =\"23933952\"]\n  15 [size=\"80442880\", alpha=\"0.12\", expect_size=\"32177152\"] \n  15 -> 23 [size =\"32177152\"]\n  15 -> 26 [size =\"32177152\"]\n  15 -> 27 [size =\"32177152\"]\n  15 -> 28 [size =\"32177152\"]\n  15 -> 29 [size =\"32177152\"]\n  15 -> 30 [size =\"32177152\"]\n  15 -> 33 [size =\"32177152\"]\n  16 [size=\"86817280\", alpha=\"0.00\", expect_size=\"34726912\"] \n  16 -> 24 [size =\"34726912\"]\n  16 -> 25 [size =\"34726912\"]\n  16 -> 27 [size =\"34726912\"]\n  16 -> 30 [size =\"34726912\"]\n  16 -> 32 [size =\"34726912\"]\n  16 -> 33 [size =\"34726912\"]\n  16 -> 33 [size =\"34726912\"]\n  17 [size=\"82227200\", alpha=\"0.01\", expect_size=\"32890880\"] \n  17 -> 23 [size =\"32890880\"]\n  17 -> 27 [size =\"32890880\"]\n  17 -> 30 [size =\"32890880\"]\n  17 -> 30 [size =\"32890880\"]\n  17 -> 33 [size =\"32890880\"]\n  17 -> 33 [size =\"32890880\"]\n  18 [size=\"125237760\", alpha=\"0.04\", expect_size=\"50095104\"] \n  18 -> 23 [size =\"50095104\"]\n  18 -> 27 [size =\"50095104\"]\n  18 -> 29 [size =\"50095104\"]\n  18 -> 30 [size =\"50095104\"]\n  18 -> 32 [size =\"50095104\"]\n  19 [size=\"26516480\", alpha=\"0.20\", expect_size=\"10606592\"] \n  19 -> 23 [size =\"10606592\"]\n  19 -> 25 [size =\"10606592\"]\n  19 -> 28 [size =\"10606592\"]\n  19 -> 29 [size =\"10606592\"]\n  20 [size=\"104791040\", alpha=\"0.01\", expect_size=\"41916416\"] \n  20 -> 23 [size =\"41916416\"]\n  20 -> 27 [size =\"41916416\"]\n  20 -> 28 [size =\"41916416\"]\n  20 -> 32 [size =\"41916416\"]\n  21 [size=\"52876800\", alpha=\"0.17\", expect_size=\"21150720\"] \n  21 -> 24 [size =\"21150720\"]\n  21 -> 27 [size =\"21150720\"]\n  21 -> 28 [size =\"21150720\"]\n  21 -> 29 [size =\"21150720\"]\n  21 -> 30 [size =\"21150720\"]\n  21 -> 32 [size =\"21150720\"]\n  22 [size=\"122414080\", alpha=\"0.19\", expect_size=\"48965632\"] \n  22 -> 24 [size =\"48965632\"]\n  22 -> 27 [size =\"48965632\"]\n  22 -> 28 [size =\"48965632\"]\n  22 -> 30 [size =\"48965632\"]\n  22 -> 32 [size =\"48965632\"]\n  22 -> 34 [size =\"48965632\"]\n  23 [size=\"44113920\", alpha=\"0.04\", expect_size=\"17645568\"] \n  24 [size=\"15060480\", alpha=\"0.11\", expect_size=\"6024192\"] \n  24 -> 35 [size =\"6024192\"]\n  25 [size=\"92741120\", alpha=\"0.05\", expect_size=\"37096448\"] \n  25 -> 35 [size =\"37096448\"]\n  26 [size=\"48081920\", alpha=\"0.09\", expect_size=\"19232768\"] \n  27 [size=\"48872960\", alpha=\"0.11\", expect_size=\"19549184\"] \n  28 [size=\"57492480\", alpha=\"0.06\", expect_size=\"22996992\"] \n  28 -> 35 [size =\"22996992\"]\n  29 [size=\"78932480\", alpha=\"0.09\", expect_size=\"31572992\"] \n  29 -> 35 [size =\"31572992\"]\n  30 [size=\"78369280\", alpha=\"0.04\", expect_size=\"31347712\"] \n  30 -> 35 [size =\"31347712\"]\n  31 [size=\"81610240\", alpha=\"0.18\", expect_size=\"32644096\"] \n  31 -> 35 [size =\"32644096\"]\n  32 [size=\"62607360\", alpha=\"0.19\", expect_size=\"25042944\"] \n  32 -> 35 [size =\"25042944\"]\n  33 [size=\"58398720\", alpha=\"0.12\", expect_size=\"23359488\"] \n  34 [size=\"83481600\", alpha=\"0.14\", expect_size=\"33392640\"] \n  34 -> 35 [size =\"33392640\"]\n  35 [size=\"29542400\", alpha=\"0.06\", expect_size=\"11816960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89483264\", alpha=\"0.01\", expect_size=\"44741632\"] \n  1 -> 3 [size =\"44741632\"]\n  2 [size=\"64335872\", alpha=\"0.09\", expect_size=\"32167936\"] \n  2 -> 3 [size =\"32167936\"]\n  3 [size=\"96921600\", alpha=\"0.10\", expect_size=\"48460800\"] \n  3 -> 4 [size =\"48460800\"]\n  3 -> 5 [size =\"48460800\"]\n  4 [size=\"50315264\", alpha=\"0.13\", expect_size=\"25157632\"] \n  4 -> 6 [size =\"25157632\"]\n  5 [size=\"48101376\", alpha=\"0.11\", expect_size=\"24050688\"] \n  5 -> 6 [size =\"24050688\"]\n  6 [size=\"35274752\", alpha=\"0.04\", expect_size=\"17637376\"] \n  6 -> 7 [size =\"17637376\"]\n  7 [size=\"58742784\", alpha=\"0.08\", expect_size=\"29371392\"] \n  7 -> 8 [size =\"29371392\"]\n  7 -> 9 [size =\"29371392\"]\n  8 [size=\"96180224\", alpha=\"0.12\", expect_size=\"48090112\"] \n  8 -> 10 [size =\"48090112\"]\n  9 [size=\"96329728\", alpha=\"0.20\", expect_size=\"48164864\"] \n  9 -> 10 [size =\"48164864\"]\n  10 [size=\"53078016\", alpha=\"0.16\", expect_size=\"26539008\"] \n  10 -> 11 [size =\"26539008\"]\n  10 -> 12 [size =\"26539008\"]\n  11 [size=\"36290560\", alpha=\"0.08\", expect_size=\"18145280\"] \n  11 -> 13 [size =\"18145280\"]\n  11 -> 14 [size =\"18145280\"]\n  12 [size=\"40419328\", alpha=\"0.09\", expect_size=\"20209664\"] \n  12 -> 13 [size =\"20209664\"]\n  12 -> 14 [size =\"20209664\"]\n  13 [size=\"83722240\", alpha=\"0.10\", expect_size=\"41861120\"] \n  13 -> 15 [size =\"41861120\"]\n  14 [size=\"37132288\", alpha=\"0.20\", expect_size=\"18566144\"] \n  14 -> 15 [size =\"18566144\"]\n  15 [size=\"99067904\", alpha=\"0.13\", expect_size=\"49533952\"] \n  15 -> 16 [size =\"49533952\"]\n  15 -> 17 [size =\"49533952\"]\n  16 [size=\"57870336\", alpha=\"0.14\", expect_size=\"28935168\"] \n  16 -> 18 [size =\"28935168\"]\n  17 [size=\"77576192\", alpha=\"0.07\", expect_size=\"38788096\"] \n  17 -> 18 [size =\"38788096\"]\n  18 [size=\"20779008\", alpha=\"0.03\", expect_size=\"10389504\"] \n  18 -> 19 [size =\"10389504\"]\n  18 -> 20 [size =\"10389504\"]\n  19 [size=\"79392768\", alpha=\"0.17\", expect_size=\"39696384\"] \n  19 -> 21 [size =\"39696384\"]\n  20 [size=\"77062144\", alpha=\"0.13\", expect_size=\"38531072\"] \n  20 -> 21 [size =\"38531072\"]\n  21 [size=\"58931200\", alpha=\"0.05\", expect_size=\"29465600\"] \n  21 -> 22 [size =\"29465600\"]\n  22 [size=\"95549440\", alpha=\"0.09\", expect_size=\"47774720\"] \n  22 -> 23 [size =\"47774720\"]\n  23 [size=\"44814336\", alpha=\"0.11\", expect_size=\"22407168\"] \n  23 -> 24 [size =\"22407168\"]\n  24 [size=\"94083072\", alpha=\"0.02\", expect_size=\"47041536\"] \n  24 -> 25 [size =\"47041536\"]\n  25 [size=\"92563456\", alpha=\"0.01\", expect_size=\"46281728\"] \n  25 -> 26 [size =\"46281728\"]\n  25 -> 27 [size =\"46281728\"]\n  26 [size=\"58243072\", alpha=\"0.04\", expect_size=\"29121536\"] \n  26 -> 28 [size =\"29121536\"]\n  27 [size=\"31328256\", alpha=\"0.19\", expect_size=\"15664128\"] \n  27 -> 28 [size =\"15664128\"]\n  28 [size=\"66533376\", alpha=\"0.11\", expect_size=\"33266688\"] \n  28 -> 29 [size =\"33266688\"]\n  28 -> 30 [size =\"33266688\"]\n  29 [size=\"78977024\", alpha=\"0.01\", expect_size=\"39488512\"] \n  29 -> 31 [size =\"39488512\"]\n  30 [size=\"63840256\", alpha=\"0.01\", expect_size=\"31920128\"] \n  30 -> 31 [size =\"31920128\"]\n  31 [size=\"28690432\", alpha=\"0.06\", expect_size=\"14345216\"] \n  31 -> 32 [size =\"14345216\"]\n  31 -> 33 [size =\"14345216\"]\n  32 [size=\"52527104\", alpha=\"0.17\", expect_size=\"26263552\"] \n  32 -> 34 [size =\"26263552\"]\n  32 -> 35 [size =\"26263552\"]\n  33 [size=\"94830592\", alpha=\"0.04\", expect_size=\"47415296\"] \n  33 -> 34 [size =\"47415296\"]\n  33 -> 35 [size =\"47415296\"]\n  34 [size=\"53291008\", alpha=\"0.16\", expect_size=\"26645504\"] \n  35 [size=\"62113792\", alpha=\"0.08\", expect_size=\"31056896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103731200\", alpha=\"0.12\", expect_size=\"41492480\"] \n  1 -> 21 [size =\"41492480\"]\n  1 -> 24 [size =\"41492480\"]\n  1 -> 26 [size =\"41492480\"]\n  1 -> 28 [size =\"41492480\"]\n  1 -> 29 [size =\"41492480\"]\n  1 -> 30 [size =\"41492480\"]\n  2 [size=\"71290880\", alpha=\"0.01\", expect_size=\"28516352\"] \n  2 -> 22 [size =\"28516352\"]\n  2 -> 24 [size =\"28516352\"]\n  2 -> 26 [size =\"28516352\"]\n  2 -> 27 [size =\"28516352\"]\n  2 -> 32 [size =\"28516352\"]\n  2 -> 33 [size =\"28516352\"]\n  2 -> 35 [size =\"28516352\"]\n  3 [size=\"128422400\", alpha=\"0.03\", expect_size=\"51368960\"] \n  3 -> 26 [size =\"51368960\"]\n  3 -> 27 [size =\"51368960\"]\n  3 -> 29 [size =\"51368960\"]\n  3 -> 30 [size =\"51368960\"]\n  3 -> 32 [size =\"51368960\"]\n  3 -> 35 [size =\"51368960\"]\n  4 [size=\"51832320\", alpha=\"0.20\", expect_size=\"20732928\"] \n  4 -> 21 [size =\"20732928\"]\n  4 -> 24 [size =\"20732928\"]\n  4 -> 26 [size =\"20732928\"]\n  4 -> 27 [size =\"20732928\"]\n  4 -> 35 [size =\"20732928\"]\n  4 -> 35 [size =\"20732928\"]\n  5 [size=\"52103680\", alpha=\"0.05\", expect_size=\"20841472\"] \n  5 -> 24 [size =\"20841472\"]\n  5 -> 27 [size =\"20841472\"]\n  5 -> 29 [size =\"20841472\"]\n  5 -> 30 [size =\"20841472\"]\n  5 -> 31 [size =\"20841472\"]\n  5 -> 32 [size =\"20841472\"]\n  5 -> 34 [size =\"20841472\"]\n  5 -> 35 [size =\"20841472\"]\n  6 [size=\"102274560\", alpha=\"0.19\", expect_size=\"40909824\"] \n  6 -> 23 [size =\"40909824\"]\n  6 -> 24 [size =\"40909824\"]\n  6 -> 25 [size =\"40909824\"]\n  6 -> 26 [size =\"40909824\"]\n  6 -> 27 [size =\"40909824\"]\n  6 -> 29 [size =\"40909824\"]\n  6 -> 30 [size =\"40909824\"]\n  6 -> 31 [size =\"40909824\"]\n  6 -> 32 [size =\"40909824\"]\n  6 -> 35 [size =\"40909824\"]\n  7 [size=\"104381440\", alpha=\"0.06\", expect_size=\"41752576\"] \n  7 -> 23 [size =\"41752576\"]\n  7 -> 24 [size =\"41752576\"]\n  7 -> 29 [size =\"41752576\"]\n  7 -> 30 [size =\"41752576\"]\n  7 -> 32 [size =\"41752576\"]\n  7 -> 35 [size =\"41752576\"]\n  8 [size=\"74104320\", alpha=\"0.13\", expect_size=\"29641728\"] \n  8 -> 21 [size =\"29641728\"]\n  8 -> 22 [size =\"29641728\"]\n  8 -> 24 [size =\"29641728\"]\n  8 -> 26 [size =\"29641728\"]\n  8 -> 29 [size =\"29641728\"]\n  8 -> 30 [size =\"29641728\"]\n  8 -> 32 [size =\"29641728\"]\n  9 [size=\"87106560\", alpha=\"0.15\", expect_size=\"34842624\"] \n  9 -> 21 [size =\"34842624\"]\n  9 -> 22 [size =\"34842624\"]\n  9 -> 23 [size =\"34842624\"]\n  9 -> 26 [size =\"34842624\"]\n  9 -> 27 [size =\"34842624\"]\n  9 -> 29 [size =\"34842624\"]\n  9 -> 30 [size =\"34842624\"]\n  9 -> 35 [size =\"34842624\"]\n  10 [size=\"87247360\", alpha=\"0.02\", expect_size=\"34898944\"] \n  10 -> 21 [size =\"34898944\"]\n  10 -> 22 [size =\"34898944\"]\n  10 -> 26 [size =\"34898944\"]\n  10 -> 29 [size =\"34898944\"]\n  10 -> 34 [size =\"34898944\"]\n  10 -> 35 [size =\"34898944\"]\n  11 [size=\"35955200\", alpha=\"0.17\", expect_size=\"14382080\"] \n  11 -> 21 [size =\"14382080\"]\n  11 -> 22 [size =\"14382080\"]\n  11 -> 29 [size =\"14382080\"]\n  11 -> 30 [size =\"14382080\"]\n  12 [size=\"104102400\", alpha=\"0.05\", expect_size=\"41640960\"] \n  12 -> 22 [size =\"41640960\"]\n  12 -> 22 [size =\"41640960\"]\n  12 -> 23 [size =\"41640960\"]\n  12 -> 24 [size =\"41640960\"]\n  12 -> 27 [size =\"41640960\"]\n  12 -> 29 [size =\"41640960\"]\n  12 -> 34 [size =\"41640960\"]\n  13 [size=\"111485440\", alpha=\"0.06\", expect_size=\"44594176\"] \n  13 -> 22 [size =\"44594176\"]\n  13 -> 23 [size =\"44594176\"]\n  13 -> 26 [size =\"44594176\"]\n  13 -> 29 [size =\"44594176\"]\n  13 -> 32 [size =\"44594176\"]\n  14 [size=\"129057280\", alpha=\"0.10\", expect_size=\"51622912\"] \n  14 -> 22 [size =\"51622912\"]\n  14 -> 23 [size =\"51622912\"]\n  14 -> 27 [size =\"51622912\"]\n  14 -> 30 [size =\"51622912\"]\n  14 -> 32 [size =\"51622912\"]\n  14 -> 33 [size =\"51622912\"]\n  14 -> 34 [size =\"51622912\"]\n  15 [size=\"128130560\", alpha=\"0.04\", expect_size=\"51252224\"] \n  15 -> 21 [size =\"51252224\"]\n  15 -> 22 [size =\"51252224\"]\n  15 -> 26 [size =\"51252224\"]\n  15 -> 27 [size =\"51252224\"]\n  15 -> 29 [size =\"51252224\"]\n  15 -> 30 [size =\"51252224\"]\n  15 -> 32 [size =\"51252224\"]\n  15 -> 34 [size =\"51252224\"]\n  15 -> 35 [size =\"51252224\"]\n  16 [size=\"42360320\", alpha=\"0.12\", expect_size=\"16944128\"] \n  16 -> 23 [size =\"16944128\"]\n  16 -> 28 [size =\"16944128\"]\n  16 -> 30 [size =\"16944128\"]\n  16 -> 31 [size =\"16944128\"]\n  16 -> 32 [size =\"16944128\"]\n  16 -> 33 [size =\"16944128\"]\n  16 -> 34 [size =\"16944128\"]\n  16 -> 35 [size =\"16944128\"]\n  17 [size=\"34127360\", alpha=\"0.07\", expect_size=\"13650944\"] \n  17 -> 21 [size =\"13650944\"]\n  17 -> 22 [size =\"13650944\"]\n  17 -> 24 [size =\"13650944\"]\n  17 -> 26 [size =\"13650944\"]\n  17 -> 30 [size =\"13650944\"]\n  17 -> 31 [size =\"13650944\"]\n  17 -> 32 [size =\"13650944\"]\n  18 [size=\"66657280\", alpha=\"0.05\", expect_size=\"26662912\"] \n  18 -> 21 [size =\"26662912\"]\n  18 -> 23 [size =\"26662912\"]\n  18 -> 26 [size =\"26662912\"]\n  18 -> 26 [size =\"26662912\"]\n  18 -> 27 [size =\"26662912\"]\n  18 -> 29 [size =\"26662912\"]\n  18 -> 31 [size =\"26662912\"]\n  19 [size=\"24599040\", alpha=\"0.03\", expect_size=\"9839616\"] \n  19 -> 21 [size =\"9839616\"]\n  19 -> 22 [size =\"9839616\"]\n  19 -> 24 [size =\"9839616\"]\n  19 -> 27 [size =\"9839616\"]\n  19 -> 31 [size =\"9839616\"]\n  20 [size=\"112829440\", alpha=\"0.00\", expect_size=\"45131776\"] \n  20 -> 21 [size =\"45131776\"]\n  20 -> 22 [size =\"45131776\"]\n  20 -> 23 [size =\"45131776\"]\n  20 -> 24 [size =\"45131776\"]\n  20 -> 26 [size =\"45131776\"]\n  20 -> 27 [size =\"45131776\"]\n  20 -> 33 [size =\"45131776\"]\n  20 -> 34 [size =\"45131776\"]\n  21 [size=\"124221440\", alpha=\"0.13\", expect_size=\"49688576\"] \n  22 [size=\"106790400\", alpha=\"0.16\", expect_size=\"42716160\"] \n  23 [size=\"20541440\", alpha=\"0.18\", expect_size=\"8216576\"] \n  24 [size=\"54871040\", alpha=\"0.07\", expect_size=\"21948416\"] \n  25 [size=\"114040320\", alpha=\"0.02\", expect_size=\"45616128\"] \n  26 [size=\"19627520\", alpha=\"0.12\", expect_size=\"7851008\"] \n  27 [size=\"90083840\", alpha=\"0.18\", expect_size=\"36033536\"] \n  28 [size=\"13557760\", alpha=\"0.15\", expect_size=\"5423104\"] \n  29 [size=\"41984000\", alpha=\"0.04\", expect_size=\"16793600\"] \n  30 [size=\"57943040\", alpha=\"0.05\", expect_size=\"23177216\"] \n  31 [size=\"58664960\", alpha=\"0.10\", expect_size=\"23465984\"] \n  32 [size=\"16811520\", alpha=\"0.11\", expect_size=\"6724608\"] \n  33 [size=\"108533760\", alpha=\"0.08\", expect_size=\"43413504\"] \n  34 [size=\"95252480\", alpha=\"0.05\", expect_size=\"38100992\"] \n  35 [size=\"15692800\", alpha=\"0.02\", expect_size=\"6277120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89722880\", alpha=\"0.08\", expect_size=\"26916864\"] \n  1 -> 2 [size =\"26916864\"]\n  2 [size=\"167424000\", alpha=\"0.20\", expect_size=\"50227200\"] \n  2 -> 3 [size =\"50227200\"]\n  3 [size=\"114029227\", alpha=\"0.07\", expect_size=\"34208768\"] \n  3 -> 4 [size =\"34208768\"]\n  4 [size=\"159423147\", alpha=\"0.18\", expect_size=\"47826944\"] \n  4 -> 5 [size =\"47826944\"]\n  5 [size=\"172182187\", alpha=\"0.04\", expect_size=\"51654656\"] \n  5 -> 6 [size =\"51654656\"]\n  6 [size=\"120606720\", alpha=\"0.08\", expect_size=\"36182016\"] \n  6 -> 7 [size =\"36182016\"]\n  7 [size=\"157009920\", alpha=\"0.14\", expect_size=\"47102976\"] \n  7 -> 8 [size =\"47102976\"]\n  8 [size=\"161860267\", alpha=\"0.03\", expect_size=\"48558080\"] \n  8 -> 9 [size =\"48558080\"]\n  9 [size=\"122559147\", alpha=\"0.05\", expect_size=\"36767744\"] \n  9 -> 10 [size =\"36767744\"]\n  10 [size=\"36116480\", alpha=\"0.10\", expect_size=\"10834944\"] \n  10 -> 11 [size =\"10834944\"]\n  11 [size=\"34655573\", alpha=\"0.14\", expect_size=\"10396672\"] \n  11 -> 12 [size =\"10396672\"]\n  12 [size=\"97686187\", alpha=\"0.16\", expect_size=\"29305856\"] \n  12 -> 13 [size =\"29305856\"]\n  13 [size=\"96580267\", alpha=\"0.00\", expect_size=\"28974080\"] \n  13 -> 14 [size =\"28974080\"]\n  14 [size=\"155016533\", alpha=\"0.01\", expect_size=\"46504960\"] \n  14 -> 15 [size =\"46504960\"]\n  15 [size=\"137192107\", alpha=\"0.03\", expect_size=\"41157632\"] \n  15 -> 16 [size =\"41157632\"]\n  16 [size=\"171219627\", alpha=\"0.19\", expect_size=\"51365888\"] \n  16 -> 17 [size =\"51365888\"]\n  17 [size=\"76547413\", alpha=\"0.15\", expect_size=\"22964224\"] \n  17 -> 18 [size =\"22964224\"]\n  18 [size=\"27153067\", alpha=\"0.01\", expect_size=\"8145920\"] \n  18 -> 19 [size =\"8145920\"]\n  19 [size=\"48749227\", alpha=\"0.08\", expect_size=\"14624768\"] \n  19 -> 20 [size =\"14624768\"]\n  20 [size=\"91627520\", alpha=\"0.04\", expect_size=\"27488256\"] \n  20 -> 21 [size =\"27488256\"]\n  21 [size=\"172871680\", alpha=\"0.09\", expect_size=\"51861504\"] \n  21 -> 22 [size =\"51861504\"]\n  22 [size=\"121777493\", alpha=\"0.13\", expect_size=\"36533248\"] \n  22 -> 23 [size =\"36533248\"]\n  23 [size=\"91057493\", alpha=\"0.10\", expect_size=\"27317248\"] \n  23 -> 24 [size =\"27317248\"]\n  24 [size=\"91323733\", alpha=\"0.04\", expect_size=\"27397120\"] \n  24 -> 25 [size =\"27397120\"]\n  25 [size=\"102761813\", alpha=\"0.18\", expect_size=\"30828544\"] \n  25 -> 26 [size =\"30828544\"]\n  26 [size=\"129000107\", alpha=\"0.05\", expect_size=\"38700032\"] \n  26 -> 27 [size =\"38700032\"]\n  27 [size=\"119405227\", alpha=\"0.10\", expect_size=\"35821568\"] \n  27 -> 28 [size =\"35821568\"]\n  28 [size=\"82551467\", alpha=\"0.14\", expect_size=\"24765440\"] \n  28 -> 29 [size =\"24765440\"]\n  29 [size=\"89480533\", alpha=\"0.11\", expect_size=\"26844160\"] \n  29 -> 30 [size =\"26844160\"]\n  30 [size=\"151650987\", alpha=\"0.10\", expect_size=\"45495296\"] \n  30 -> 31 [size =\"45495296\"]\n  31 [size=\"24340480\", alpha=\"0.11\", expect_size=\"7302144\"] \n  31 -> 32 [size =\"7302144\"]\n  32 [size=\"94365013\", alpha=\"0.02\", expect_size=\"28309504\"] \n  32 -> 33 [size =\"28309504\"]\n  33 [size=\"39816533\", alpha=\"0.04\", expect_size=\"11944960\"] \n  33 -> 34 [size =\"11944960\"]\n  34 [size=\"114537813\", alpha=\"0.03\", expect_size=\"34361344\"] \n  34 -> 35 [size =\"34361344\"]\n  35 [size=\"145899520\", alpha=\"0.17\", expect_size=\"43769856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124794880\", alpha=\"0.17\", expect_size=\"37438464\"] \n  1 -> 14 [size =\"37438464\"]\n  1 -> 18 [size =\"37438464\"]\n  1 -> 19 [size =\"37438464\"]\n  1 -> 21 [size =\"37438464\"]\n  2 [size=\"38591147\", alpha=\"0.02\", expect_size=\"11577344\"] \n  2 -> 14 [size =\"11577344\"]\n  2 -> 18 [size =\"11577344\"]\n  2 -> 20 [size =\"11577344\"]\n  2 -> 21 [size =\"11577344\"]\n  3 [size=\"137673387\", alpha=\"0.08\", expect_size=\"41302016\"] \n  3 -> 17 [size =\"41302016\"]\n  3 -> 19 [size =\"41302016\"]\n  3 -> 21 [size =\"41302016\"]\n  3 -> 21 [size =\"41302016\"]\n  3 -> 22 [size =\"41302016\"]\n  4 [size=\"125112320\", alpha=\"0.07\", expect_size=\"37533696\"] \n  4 -> 14 [size =\"37533696\"]\n  4 -> 17 [size =\"37533696\"]\n  4 -> 19 [size =\"37533696\"]\n  4 -> 22 [size =\"37533696\"]\n  5 [size=\"165055147\", alpha=\"0.01\", expect_size=\"49516544\"] \n  5 -> 17 [size =\"49516544\"]\n  5 -> 20 [size =\"49516544\"]\n  6 [size=\"52217173\", alpha=\"0.17\", expect_size=\"15665152\"] \n  6 -> 14 [size =\"15665152\"]\n  6 -> 15 [size =\"15665152\"]\n  6 -> 16 [size =\"15665152\"]\n  6 -> 17 [size =\"15665152\"]\n  6 -> 18 [size =\"15665152\"]\n  7 [size=\"64047787\", alpha=\"0.16\", expect_size=\"19214336\"] \n  7 -> 14 [size =\"19214336\"]\n  7 -> 15 [size =\"19214336\"]\n  7 -> 18 [size =\"19214336\"]\n  7 -> 20 [size =\"19214336\"]\n  8 [size=\"136113493\", alpha=\"0.18\", expect_size=\"40834048\"] \n  8 -> 15 [size =\"40834048\"]\n  8 -> 15 [size =\"40834048\"]\n  8 -> 16 [size =\"40834048\"]\n  8 -> 19 [size =\"40834048\"]\n  8 -> 21 [size =\"40834048\"]\n  8 -> 24 [size =\"40834048\"]\n  9 [size=\"151343787\", alpha=\"0.14\", expect_size=\"45403136\"] \n  9 -> 15 [size =\"45403136\"]\n  9 -> 19 [size =\"45403136\"]\n  9 -> 22 [size =\"45403136\"]\n  10 [size=\"76943360\", alpha=\"0.18\", expect_size=\"23083008\"] \n  10 -> 16 [size =\"23083008\"]\n  10 -> 17 [size =\"23083008\"]\n  10 -> 18 [size =\"23083008\"]\n  10 -> 19 [size =\"23083008\"]\n  10 -> 22 [size =\"23083008\"]\n  11 [size=\"110940160\", alpha=\"0.16\", expect_size=\"33282048\"] \n  11 -> 14 [size =\"33282048\"]\n  11 -> 15 [size =\"33282048\"]\n  11 -> 17 [size =\"33282048\"]\n  11 -> 22 [size =\"33282048\"]\n  11 -> 23 [size =\"33282048\"]\n  12 [size=\"88780800\", alpha=\"0.18\", expect_size=\"26634240\"] \n  12 -> 14 [size =\"26634240\"]\n  12 -> 15 [size =\"26634240\"]\n  12 -> 17 [size =\"26634240\"]\n  12 -> 19 [size =\"26634240\"]\n  12 -> 22 [size =\"26634240\"]\n  13 [size=\"102188373\", alpha=\"0.11\", expect_size=\"30656512\"] \n  13 -> 14 [size =\"30656512\"]\n  13 -> 17 [size =\"30656512\"]\n  13 -> 22 [size =\"30656512\"]\n  13 -> 24 [size =\"30656512\"]\n  14 [size=\"164372480\", alpha=\"0.19\", expect_size=\"49311744\"] \n  14 -> 29 [size =\"49311744\"]\n  14 -> 30 [size =\"49311744\"]\n  14 -> 34 [size =\"49311744\"]\n  15 [size=\"64040960\", alpha=\"0.18\", expect_size=\"19212288\"] \n  15 -> 28 [size =\"19212288\"]\n  15 -> 29 [size =\"19212288\"]\n  15 -> 31 [size =\"19212288\"]\n  15 -> 32 [size =\"19212288\"]\n  15 -> 33 [size =\"19212288\"]\n  16 [size=\"73089707\", alpha=\"0.08\", expect_size=\"21926912\"] \n  16 -> 26 [size =\"21926912\"]\n  16 -> 27 [size =\"21926912\"]\n  16 -> 28 [size =\"21926912\"]\n  16 -> 29 [size =\"21926912\"]\n  16 -> 31 [size =\"21926912\"]\n  16 -> 34 [size =\"21926912\"]\n  16 -> 35 [size =\"21926912\"]\n  17 [size=\"46336000\", alpha=\"0.01\", expect_size=\"13900800\"] \n  17 -> 27 [size =\"13900800\"]\n  17 -> 33 [size =\"13900800\"]\n  17 -> 34 [size =\"13900800\"]\n  18 [size=\"172984320\", alpha=\"0.01\", expect_size=\"51895296\"] \n  18 -> 28 [size =\"51895296\"]\n  18 -> 34 [size =\"51895296\"]\n  19 [size=\"154313387\", alpha=\"0.10\", expect_size=\"46294016\"] \n  19 -> 26 [size =\"46294016\"]\n  19 -> 27 [size =\"46294016\"]\n  19 -> 28 [size =\"46294016\"]\n  19 -> 29 [size =\"46294016\"]\n  19 -> 31 [size =\"46294016\"]\n  20 [size=\"109103787\", alpha=\"0.17\", expect_size=\"32731136\"] \n  20 -> 26 [size =\"32731136\"]\n  20 -> 27 [size =\"32731136\"]\n  20 -> 28 [size =\"32731136\"]\n  20 -> 33 [size =\"32731136\"]\n  21 [size=\"95276373\", alpha=\"0.18\", expect_size=\"28582912\"] \n  21 -> 26 [size =\"28582912\"]\n  21 -> 28 [size =\"28582912\"]\n  21 -> 34 [size =\"28582912\"]\n  22 [size=\"63508480\", alpha=\"0.02\", expect_size=\"19052544\"] \n  22 -> 33 [size =\"19052544\"]\n  23 [size=\"45434880\", alpha=\"0.01\", expect_size=\"13630464\"] \n  23 -> 25 [size =\"13630464\"]\n  23 -> 26 [size =\"13630464\"]\n  23 -> 29 [size =\"13630464\"]\n  23 -> 30 [size =\"13630464\"]\n  23 -> 33 [size =\"13630464\"]\n  23 -> 34 [size =\"13630464\"]\n  23 -> 35 [size =\"13630464\"]\n  24 [size=\"134782293\", alpha=\"0.13\", expect_size=\"40434688\"] \n  24 -> 26 [size =\"40434688\"]\n  24 -> 27 [size =\"40434688\"]\n  24 -> 29 [size =\"40434688\"]\n  24 -> 30 [size =\"40434688\"]\n  24 -> 31 [size =\"40434688\"]\n  24 -> 33 [size =\"40434688\"]\n  24 -> 34 [size =\"40434688\"]\n  25 [size=\"129167360\", alpha=\"0.05\", expect_size=\"38750208\"] \n  26 [size=\"115554987\", alpha=\"0.00\", expect_size=\"34666496\"] \n  27 [size=\"23521280\", alpha=\"0.02\", expect_size=\"7056384\"] \n  28 [size=\"32723627\", alpha=\"0.19\", expect_size=\"9817088\"] \n  29 [size=\"41489067\", alpha=\"0.12\", expect_size=\"12446720\"] \n  30 [size=\"120128853\", alpha=\"0.14\", expect_size=\"36038656\"] \n  31 [size=\"98549760\", alpha=\"0.07\", expect_size=\"29564928\"] \n  32 [size=\"84077227\", alpha=\"0.09\", expect_size=\"25223168\"] \n  33 [size=\"97819307\", alpha=\"0.02\", expect_size=\"29345792\"] \n  34 [size=\"102690133\", alpha=\"0.14\", expect_size=\"30807040\"] \n  35 [size=\"49046187\", alpha=\"0.12\", expect_size=\"14713856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29374464\", alpha=\"0.16\", expect_size=\"14687232\"] \n  1 -> 2 [size =\"14687232\"]\n  1 -> 3 [size =\"14687232\"]\n  2 [size=\"78985216\", alpha=\"0.06\", expect_size=\"39492608\"] \n  2 -> 4 [size =\"39492608\"]\n  2 -> 5 [size =\"39492608\"]\n  3 [size=\"18995200\", alpha=\"0.17\", expect_size=\"9497600\"] \n  3 -> 4 [size =\"9497600\"]\n  3 -> 5 [size =\"9497600\"]\n  4 [size=\"96075776\", alpha=\"0.12\", expect_size=\"48037888\"] \n  4 -> 6 [size =\"48037888\"]\n  4 -> 7 [size =\"48037888\"]\n  5 [size=\"29550592\", alpha=\"0.15\", expect_size=\"14775296\"] \n  5 -> 6 [size =\"14775296\"]\n  6 [size=\"47405056\", alpha=\"0.19\", expect_size=\"23702528\"] \n  6 -> 8 [size =\"23702528\"]\n  6 -> 9 [size =\"23702528\"]\n  7 [size=\"67278848\", alpha=\"0.09\", expect_size=\"33639424\"] \n  7 -> 8 [size =\"33639424\"]\n  8 [size=\"51695616\", alpha=\"0.05\", expect_size=\"25847808\"] \n  8 -> 10 [size =\"25847808\"]\n  9 [size=\"11433984\", alpha=\"0.11\", expect_size=\"5716992\"] \n  9 -> 10 [size =\"5716992\"]\n  10 [size=\"101959680\", alpha=\"0.12\", expect_size=\"50979840\"] \n  10 -> 11 [size =\"50979840\"]\n  11 [size=\"57499648\", alpha=\"0.10\", expect_size=\"28749824\"] \n  11 -> 12 [size =\"28749824\"]\n  12 [size=\"36593664\", alpha=\"0.03\", expect_size=\"18296832\"] \n  12 -> 13 [size =\"18296832\"]\n  13 [size=\"66170880\", alpha=\"0.17\", expect_size=\"33085440\"] \n  13 -> 14 [size =\"33085440\"]\n  14 [size=\"50491392\", alpha=\"0.09\", expect_size=\"25245696\"] \n  14 -> 15 [size =\"25245696\"]\n  15 [size=\"11012096\", alpha=\"0.07\", expect_size=\"5506048\"] \n  15 -> 16 [size =\"5506048\"]\n  16 [size=\"81944576\", alpha=\"0.14\", expect_size=\"40972288\"] \n  16 -> 17 [size =\"40972288\"]\n  16 -> 18 [size =\"40972288\"]\n  17 [size=\"76771328\", alpha=\"0.00\", expect_size=\"38385664\"] \n  17 -> 19 [size =\"38385664\"]\n  18 [size=\"23478272\", alpha=\"0.04\", expect_size=\"11739136\"] \n  18 -> 19 [size =\"11739136\"]\n  19 [size=\"45795328\", alpha=\"0.09\", expect_size=\"22897664\"] \n  19 -> 20 [size =\"22897664\"]\n  19 -> 21 [size =\"22897664\"]\n  20 [size=\"97570816\", alpha=\"0.02\", expect_size=\"48785408\"] \n  20 -> 22 [size =\"48785408\"]\n  20 -> 23 [size =\"48785408\"]\n  21 [size=\"58220544\", alpha=\"0.19\", expect_size=\"29110272\"] \n  21 -> 22 [size =\"29110272\"]\n  21 -> 23 [size =\"29110272\"]\n  22 [size=\"13080576\", alpha=\"0.11\", expect_size=\"6540288\"] \n  22 -> 24 [size =\"6540288\"]\n  22 -> 25 [size =\"6540288\"]\n  23 [size=\"25454592\", alpha=\"0.05\", expect_size=\"12727296\"] \n  23 -> 24 [size =\"12727296\"]\n  23 -> 25 [size =\"12727296\"]\n  24 [size=\"13445120\", alpha=\"0.17\", expect_size=\"6722560\"] \n  24 -> 26 [size =\"6722560\"]\n  24 -> 27 [size =\"6722560\"]\n  25 [size=\"54321152\", alpha=\"0.12\", expect_size=\"27160576\"] \n  25 -> 27 [size =\"27160576\"]\n  26 [size=\"86919168\", alpha=\"0.16\", expect_size=\"43459584\"] \n  26 -> 28 [size =\"43459584\"]\n  27 [size=\"57286656\", alpha=\"0.12\", expect_size=\"28643328\"] \n  27 -> 28 [size =\"28643328\"]\n  28 [size=\"57970688\", alpha=\"0.16\", expect_size=\"28985344\"] \n  28 -> 29 [size =\"28985344\"]\n  29 [size=\"74815488\", alpha=\"0.01\", expect_size=\"37407744\"] \n  29 -> 30 [size =\"37407744\"]\n  29 -> 31 [size =\"37407744\"]\n  30 [size=\"22726656\", alpha=\"0.04\", expect_size=\"11363328\"] \n  30 -> 32 [size =\"11363328\"]\n  31 [size=\"33222656\", alpha=\"0.18\", expect_size=\"16611328\"] \n  32 [size=\"30820352\", alpha=\"0.18\", expect_size=\"15410176\"] \n  32 -> 33 [size =\"15410176\"]\n  33 [size=\"84023296\", alpha=\"0.09\", expect_size=\"42011648\"] \n  33 -> 34 [size =\"42011648\"]\n  33 -> 35 [size =\"42011648\"]\n  34 [size=\"12599296\", alpha=\"0.09\", expect_size=\"6299648\"] \n  35 [size=\"90877952\", alpha=\"0.09\", expect_size=\"45438976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87852373\", alpha=\"0.03\", expect_size=\"26355712\"] \n  1 -> 3 [size =\"26355712\"]\n  1 -> 4 [size =\"26355712\"]\n  2 [size=\"159976107\", alpha=\"0.03\", expect_size=\"47992832\"] \n  2 -> 3 [size =\"47992832\"]\n  2 -> 4 [size =\"47992832\"]\n  3 [size=\"144063147\", alpha=\"0.07\", expect_size=\"43218944\"] \n  3 -> 5 [size =\"43218944\"]\n  4 [size=\"120582827\", alpha=\"0.15\", expect_size=\"36174848\"] \n  5 [size=\"114472960\", alpha=\"0.10\", expect_size=\"34341888\"] \n  5 -> 6 [size =\"34341888\"]\n  5 -> 7 [size =\"34341888\"]\n  6 [size=\"47854933\", alpha=\"0.06\", expect_size=\"14356480\"] \n  6 -> 9 [size =\"14356480\"]\n  7 [size=\"63692800\", alpha=\"0.07\", expect_size=\"19107840\"] \n  7 -> 8 [size =\"19107840\"]\n  8 [size=\"30184107\", alpha=\"0.13\", expect_size=\"9055232\"] \n  8 -> 11 [size =\"9055232\"]\n  9 [size=\"151869440\", alpha=\"0.05\", expect_size=\"45560832\"] \n  9 -> 10 [size =\"45560832\"]\n  9 -> 11 [size =\"45560832\"]\n  10 [size=\"71669760\", alpha=\"0.18\", expect_size=\"21500928\"] \n  10 -> 12 [size =\"21500928\"]\n  10 -> 13 [size =\"21500928\"]\n  11 [size=\"73021440\", alpha=\"0.03\", expect_size=\"21906432\"] \n  11 -> 12 [size =\"21906432\"]\n  12 [size=\"99328000\", alpha=\"0.07\", expect_size=\"29798400\"] \n  12 -> 14 [size =\"29798400\"]\n  12 -> 15 [size =\"29798400\"]\n  13 [size=\"119203840\", alpha=\"0.06\", expect_size=\"35761152\"] \n  14 [size=\"171680427\", alpha=\"0.02\", expect_size=\"51504128\"] \n  14 -> 17 [size =\"51504128\"]\n  15 [size=\"133614933\", alpha=\"0.11\", expect_size=\"40084480\"] \n  15 -> 16 [size =\"40084480\"]\n  15 -> 17 [size =\"40084480\"]\n  16 [size=\"54568960\", alpha=\"0.15\", expect_size=\"16370688\"] \n  16 -> 18 [size =\"16370688\"]\n  17 [size=\"101901653\", alpha=\"0.03\", expect_size=\"30570496\"] \n  18 [size=\"155272533\", alpha=\"0.03\", expect_size=\"46581760\"] \n  18 -> 19 [size =\"46581760\"]\n  19 [size=\"102147413\", alpha=\"0.06\", expect_size=\"30644224\"] \n  19 -> 20 [size =\"30644224\"]\n  20 [size=\"144609280\", alpha=\"0.12\", expect_size=\"43382784\"] \n  20 -> 21 [size =\"43382784\"]\n  20 -> 22 [size =\"43382784\"]\n  21 [size=\"125887147\", alpha=\"0.07\", expect_size=\"37766144\"] \n  21 -> 23 [size =\"37766144\"]\n  22 [size=\"151128747\", alpha=\"0.01\", expect_size=\"45338624\"] \n  22 -> 23 [size =\"45338624\"]\n  22 -> 24 [size =\"45338624\"]\n  23 [size=\"51817813\", alpha=\"0.10\", expect_size=\"15545344\"] \n  23 -> 25 [size =\"15545344\"]\n  24 [size=\"102420480\", alpha=\"0.12\", expect_size=\"30726144\"] \n  24 -> 25 [size =\"30726144\"]\n  25 [size=\"121890133\", alpha=\"0.07\", expect_size=\"36567040\"] \n  25 -> 26 [size =\"36567040\"]\n  25 -> 27 [size =\"36567040\"]\n  26 [size=\"50240853\", alpha=\"0.06\", expect_size=\"15072256\"] \n  27 [size=\"164802560\", alpha=\"0.10\", expect_size=\"49440768\"] \n  27 -> 28 [size =\"49440768\"]\n  28 [size=\"27736747\", alpha=\"0.17\", expect_size=\"8321024\"] \n  28 -> 29 [size =\"8321024\"]\n  28 -> 30 [size =\"8321024\"]\n  29 [size=\"47701333\", alpha=\"0.20\", expect_size=\"14310400\"] \n  30 [size=\"94098773\", alpha=\"0.10\", expect_size=\"28229632\"] \n  30 -> 31 [size =\"28229632\"]\n  31 [size=\"31996587\", alpha=\"0.07\", expect_size=\"9598976\"] \n  31 -> 32 [size =\"9598976\"]\n  32 [size=\"89060693\", alpha=\"0.15\", expect_size=\"26718208\"] \n  32 -> 33 [size =\"26718208\"]\n  32 -> 34 [size =\"26718208\"]\n  33 [size=\"93214720\", alpha=\"0.15\", expect_size=\"27964416\"] \n  33 -> 35 [size =\"27964416\"]\n  34 [size=\"171048960\", alpha=\"0.16\", expect_size=\"51314688\"] \n  34 -> 35 [size =\"51314688\"]\n  35 [size=\"111104000\", alpha=\"0.10\", expect_size=\"33331200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129753600\", alpha=\"0.16\", expect_size=\"51901440\"] \n  1 -> 11 [size =\"51901440\"]\n  1 -> 12 [size =\"51901440\"]\n  1 -> 15 [size =\"51901440\"]\n  1 -> 17 [size =\"51901440\"]\n  1 -> 19 [size =\"51901440\"]\n  1 -> 21 [size =\"51901440\"]\n  2 [size=\"55086080\", alpha=\"0.05\", expect_size=\"22034432\"] \n  2 -> 12 [size =\"22034432\"]\n  2 -> 12 [size =\"22034432\"]\n  2 -> 14 [size =\"22034432\"]\n  2 -> 15 [size =\"22034432\"]\n  2 -> 16 [size =\"22034432\"]\n  2 -> 17 [size =\"22034432\"]\n  2 -> 19 [size =\"22034432\"]\n  2 -> 21 [size =\"22034432\"]\n  3 [size=\"41218560\", alpha=\"0.02\", expect_size=\"16487424\"] \n  3 -> 12 [size =\"16487424\"]\n  3 -> 13 [size =\"16487424\"]\n  3 -> 14 [size =\"16487424\"]\n  3 -> 17 [size =\"16487424\"]\n  3 -> 19 [size =\"16487424\"]\n  3 -> 21 [size =\"16487424\"]\n  4 [size=\"96309760\", alpha=\"0.14\", expect_size=\"38523904\"] \n  4 -> 12 [size =\"38523904\"]\n  4 -> 13 [size =\"38523904\"]\n  4 -> 17 [size =\"38523904\"]\n  4 -> 19 [size =\"38523904\"]\n  4 -> 20 [size =\"38523904\"]\n  4 -> 21 [size =\"38523904\"]\n  5 [size=\"76472320\", alpha=\"0.18\", expect_size=\"30588928\"] \n  5 -> 11 [size =\"30588928\"]\n  5 -> 12 [size =\"30588928\"]\n  5 -> 13 [size =\"30588928\"]\n  5 -> 15 [size =\"30588928\"]\n  5 -> 19 [size =\"30588928\"]\n  5 -> 21 [size =\"30588928\"]\n  6 [size=\"68638720\", alpha=\"0.12\", expect_size=\"27455488\"] \n  6 -> 12 [size =\"27455488\"]\n  6 -> 13 [size =\"27455488\"]\n  6 -> 14 [size =\"27455488\"]\n  6 -> 19 [size =\"27455488\"]\n  6 -> 21 [size =\"27455488\"]\n  6 -> 21 [size =\"27455488\"]\n  7 [size=\"114414080\", alpha=\"0.03\", expect_size=\"45765632\"] \n  7 -> 15 [size =\"45765632\"]\n  7 -> 16 [size =\"45765632\"]\n  7 -> 19 [size =\"45765632\"]\n  7 -> 20 [size =\"45765632\"]\n  7 -> 21 [size =\"45765632\"]\n  8 [size=\"115870720\", alpha=\"0.00\", expect_size=\"46348288\"] \n  8 -> 18 [size =\"46348288\"]\n  9 [size=\"130754560\", alpha=\"0.11\", expect_size=\"52301824\"] \n  9 -> 12 [size =\"52301824\"]\n  9 -> 13 [size =\"52301824\"]\n  9 -> 15 [size =\"52301824\"]\n  9 -> 16 [size =\"52301824\"]\n  9 -> 17 [size =\"52301824\"]\n  10 [size=\"20851200\", alpha=\"0.02\", expect_size=\"8340480\"] \n  10 -> 12 [size =\"8340480\"]\n  10 -> 16 [size =\"8340480\"]\n  10 -> 17 [size =\"8340480\"]\n  10 -> 19 [size =\"8340480\"]\n  10 -> 21 [size =\"8340480\"]\n  11 [size=\"91901440\", alpha=\"0.06\", expect_size=\"36760576\"] \n  11 -> 22 [size =\"36760576\"]\n  11 -> 27 [size =\"36760576\"]\n  11 -> 31 [size =\"36760576\"]\n  11 -> 32 [size =\"36760576\"]\n  11 -> 33 [size =\"36760576\"]\n  12 [size=\"68247040\", alpha=\"0.04\", expect_size=\"27298816\"] \n  12 -> 22 [size =\"27298816\"]\n  12 -> 27 [size =\"27298816\"]\n  12 -> 28 [size =\"27298816\"]\n  12 -> 29 [size =\"27298816\"]\n  12 -> 31 [size =\"27298816\"]\n  12 -> 32 [size =\"27298816\"]\n  12 -> 33 [size =\"27298816\"]\n  13 [size=\"100221440\", alpha=\"0.01\", expect_size=\"40088576\"] \n  13 -> 24 [size =\"40088576\"]\n  13 -> 33 [size =\"40088576\"]\n  14 [size=\"110917120\", alpha=\"0.07\", expect_size=\"44366848\"] \n  14 -> 24 [size =\"44366848\"]\n  14 -> 26 [size =\"44366848\"]\n  14 -> 28 [size =\"44366848\"]\n  14 -> 30 [size =\"44366848\"]\n  14 -> 31 [size =\"44366848\"]\n  14 -> 32 [size =\"44366848\"]\n  14 -> 33 [size =\"44366848\"]\n  15 [size=\"74831360\", alpha=\"0.10\", expect_size=\"29932544\"] \n  15 -> 25 [size =\"29932544\"]\n  15 -> 28 [size =\"29932544\"]\n  15 -> 28 [size =\"29932544\"]\n  15 -> 33 [size =\"29932544\"]\n  16 [size=\"60423680\", alpha=\"0.15\", expect_size=\"24169472\"] \n  16 -> 22 [size =\"24169472\"]\n  16 -> 31 [size =\"24169472\"]\n  16 -> 33 [size =\"24169472\"]\n  16 -> 33 [size =\"24169472\"]\n  17 [size=\"15431680\", alpha=\"0.16\", expect_size=\"6172672\"] \n  17 -> 22 [size =\"6172672\"]\n  17 -> 24 [size =\"6172672\"]\n  17 -> 25 [size =\"6172672\"]\n  17 -> 26 [size =\"6172672\"]\n  17 -> 27 [size =\"6172672\"]\n  17 -> 28 [size =\"6172672\"]\n  17 -> 32 [size =\"6172672\"]\n  18 [size=\"30558720\", alpha=\"0.18\", expect_size=\"12223488\"] \n  18 -> 25 [size =\"12223488\"]\n  18 -> 26 [size =\"12223488\"]\n  18 -> 32 [size =\"12223488\"]\n  19 [size=\"32852480\", alpha=\"0.10\", expect_size=\"13140992\"] \n  19 -> 22 [size =\"13140992\"]\n  19 -> 24 [size =\"13140992\"]\n  19 -> 32 [size =\"13140992\"]\n  19 -> 33 [size =\"13140992\"]\n  20 [size=\"99880960\", alpha=\"0.06\", expect_size=\"39952384\"] \n  20 -> 25 [size =\"39952384\"]\n  20 -> 28 [size =\"39952384\"]\n  20 -> 31 [size =\"39952384\"]\n  20 -> 32 [size =\"39952384\"]\n  21 [size=\"111477760\", alpha=\"0.01\", expect_size=\"44591104\"] \n  21 -> 23 [size =\"44591104\"]\n  21 -> 29 [size =\"44591104\"]\n  21 -> 31 [size =\"44591104\"]\n  21 -> 32 [size =\"44591104\"]\n  22 [size=\"26554880\", alpha=\"0.03\", expect_size=\"10621952\"] \n  22 -> 34 [size =\"10621952\"]\n  22 -> 35 [size =\"10621952\"]\n  23 [size=\"49623040\", alpha=\"0.10\", expect_size=\"19849216\"] \n  23 -> 34 [size =\"19849216\"]\n  24 [size=\"56593920\", alpha=\"0.11\", expect_size=\"22637568\"] \n  24 -> 34 [size =\"22637568\"]\n  24 -> 35 [size =\"22637568\"]\n  25 [size=\"99896320\", alpha=\"0.03\", expect_size=\"39958528\"] \n  25 -> 34 [size =\"39958528\"]\n  26 [size=\"41600000\", alpha=\"0.04\", expect_size=\"16640000\"] \n  26 -> 34 [size =\"16640000\"]\n  26 -> 35 [size =\"16640000\"]\n  27 [size=\"13849600\", alpha=\"0.02\", expect_size=\"5539840\"] \n  27 -> 34 [size =\"5539840\"]\n  27 -> 35 [size =\"5539840\"]\n  28 [size=\"107136000\", alpha=\"0.18\", expect_size=\"42854400\"] \n  28 -> 34 [size =\"42854400\"]\n  28 -> 35 [size =\"42854400\"]\n  29 [size=\"98152960\", alpha=\"0.14\", expect_size=\"39261184\"] \n  30 [size=\"40542720\", alpha=\"0.11\", expect_size=\"16217088\"] \n  30 -> 34 [size =\"16217088\"]\n  30 -> 35 [size =\"16217088\"]\n  31 [size=\"73128960\", alpha=\"0.01\", expect_size=\"29251584\"] \n  31 -> 34 [size =\"29251584\"]\n  31 -> 35 [size =\"29251584\"]\n  32 [size=\"76636160\", alpha=\"0.01\", expect_size=\"30654464\"] \n  32 -> 34 [size =\"30654464\"]\n  33 [size=\"93040640\", alpha=\"0.16\", expect_size=\"37216256\"] \n  33 -> 34 [size =\"37216256\"]\n  33 -> 35 [size =\"37216256\"]\n  34 [size=\"32491520\", alpha=\"0.07\", expect_size=\"12996608\"] \n  35 [size=\"96161280\", alpha=\"0.08\", expect_size=\"38464512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70457344\", alpha=\"0.07\", expect_size=\"35228672\"] \n  1 -> 20 [size =\"35228672\"]\n  1 -> 22 [size =\"35228672\"]\n  1 -> 30 [size =\"35228672\"]\n  1 -> 31 [size =\"35228672\"]\n  1 -> 35 [size =\"35228672\"]\n  2 [size=\"69320704\", alpha=\"0.09\", expect_size=\"34660352\"] \n  2 -> 20 [size =\"34660352\"]\n  2 -> 23 [size =\"34660352\"]\n  2 -> 27 [size =\"34660352\"]\n  2 -> 29 [size =\"34660352\"]\n  2 -> 31 [size =\"34660352\"]\n  2 -> 35 [size =\"34660352\"]\n  3 [size=\"60160000\", alpha=\"0.05\", expect_size=\"30080000\"] \n  3 -> 27 [size =\"30080000\"]\n  3 -> 28 [size =\"30080000\"]\n  3 -> 29 [size =\"30080000\"]\n  3 -> 29 [size =\"30080000\"]\n  3 -> 32 [size =\"30080000\"]\n  3 -> 35 [size =\"30080000\"]\n  4 [size=\"28143616\", alpha=\"0.16\", expect_size=\"14071808\"] \n  4 -> 19 [size =\"14071808\"]\n  4 -> 20 [size =\"14071808\"]\n  4 -> 25 [size =\"14071808\"]\n  4 -> 27 [size =\"14071808\"]\n  4 -> 28 [size =\"14071808\"]\n  4 -> 32 [size =\"14071808\"]\n  4 -> 34 [size =\"14071808\"]\n  4 -> 35 [size =\"14071808\"]\n  5 [size=\"85110784\", alpha=\"0.18\", expect_size=\"42555392\"] \n  5 -> 19 [size =\"42555392\"]\n  5 -> 20 [size =\"42555392\"]\n  5 -> 22 [size =\"42555392\"]\n  5 -> 23 [size =\"42555392\"]\n  5 -> 27 [size =\"42555392\"]\n  5 -> 28 [size =\"42555392\"]\n  5 -> 30 [size =\"42555392\"]\n  5 -> 31 [size =\"42555392\"]\n  5 -> 32 [size =\"42555392\"]\n  5 -> 35 [size =\"42555392\"]\n  6 [size=\"73390080\", alpha=\"0.16\", expect_size=\"36695040\"] \n  6 -> 20 [size =\"36695040\"]\n  6 -> 22 [size =\"36695040\"]\n  6 -> 23 [size =\"36695040\"]\n  6 -> 24 [size =\"36695040\"]\n  6 -> 27 [size =\"36695040\"]\n  6 -> 28 [size =\"36695040\"]\n  6 -> 29 [size =\"36695040\"]\n  6 -> 32 [size =\"36695040\"]\n  6 -> 34 [size =\"36695040\"]\n  6 -> 35 [size =\"36695040\"]\n  7 [size=\"95662080\", alpha=\"0.05\", expect_size=\"47831040\"] \n  7 -> 19 [size =\"47831040\"]\n  7 -> 20 [size =\"47831040\"]\n  7 -> 22 [size =\"47831040\"]\n  7 -> 23 [size =\"47831040\"]\n  7 -> 27 [size =\"47831040\"]\n  7 -> 29 [size =\"47831040\"]\n  7 -> 31 [size =\"47831040\"]\n  7 -> 35 [size =\"47831040\"]\n  8 [size=\"82831360\", alpha=\"0.17\", expect_size=\"41415680\"] \n  8 -> 19 [size =\"41415680\"]\n  8 -> 20 [size =\"41415680\"]\n  8 -> 22 [size =\"41415680\"]\n  8 -> 23 [size =\"41415680\"]\n  8 -> 28 [size =\"41415680\"]\n  8 -> 29 [size =\"41415680\"]\n  8 -> 30 [size =\"41415680\"]\n  8 -> 35 [size =\"41415680\"]\n  9 [size=\"62412800\", alpha=\"0.14\", expect_size=\"31206400\"] \n  9 -> 19 [size =\"31206400\"]\n  9 -> 22 [size =\"31206400\"]\n  9 -> 23 [size =\"31206400\"]\n  9 -> 25 [size =\"31206400\"]\n  9 -> 27 [size =\"31206400\"]\n  9 -> 29 [size =\"31206400\"]\n  9 -> 31 [size =\"31206400\"]\n  9 -> 34 [size =\"31206400\"]\n  10 [size=\"77694976\", alpha=\"0.19\", expect_size=\"38847488\"] \n  10 -> 19 [size =\"38847488\"]\n  10 -> 22 [size =\"38847488\"]\n  10 -> 27 [size =\"38847488\"]\n  10 -> 29 [size =\"38847488\"]\n  10 -> 30 [size =\"38847488\"]\n  10 -> 34 [size =\"38847488\"]\n  10 -> 35 [size =\"38847488\"]\n  11 [size=\"30687232\", alpha=\"0.04\", expect_size=\"15343616\"] \n  11 -> 22 [size =\"15343616\"]\n  11 -> 22 [size =\"15343616\"]\n  11 -> 23 [size =\"15343616\"]\n  11 -> 24 [size =\"15343616\"]\n  11 -> 27 [size =\"15343616\"]\n  11 -> 29 [size =\"15343616\"]\n  11 -> 30 [size =\"15343616\"]\n  11 -> 31 [size =\"15343616\"]\n  11 -> 35 [size =\"15343616\"]\n  12 [size=\"64233472\", alpha=\"0.04\", expect_size=\"32116736\"] \n  12 -> 19 [size =\"32116736\"]\n  12 -> 20 [size =\"32116736\"]\n  12 -> 21 [size =\"32116736\"]\n  12 -> 26 [size =\"32116736\"]\n  12 -> 29 [size =\"32116736\"]\n  12 -> 30 [size =\"32116736\"]\n  12 -> 31 [size =\"32116736\"]\n  12 -> 35 [size =\"32116736\"]\n  13 [size=\"11780096\", alpha=\"0.13\", expect_size=\"5890048\"] \n  13 -> 19 [size =\"5890048\"]\n  13 -> 20 [size =\"5890048\"]\n  13 -> 21 [size =\"5890048\"]\n  13 -> 22 [size =\"5890048\"]\n  13 -> 27 [size =\"5890048\"]\n  13 -> 29 [size =\"5890048\"]\n  13 -> 30 [size =\"5890048\"]\n  13 -> 33 [size =\"5890048\"]\n  14 [size=\"35860480\", alpha=\"0.11\", expect_size=\"17930240\"] \n  14 -> 19 [size =\"17930240\"]\n  14 -> 20 [size =\"17930240\"]\n  14 -> 21 [size =\"17930240\"]\n  14 -> 22 [size =\"17930240\"]\n  14 -> 27 [size =\"17930240\"]\n  14 -> 30 [size =\"17930240\"]\n  14 -> 33 [size =\"17930240\"]\n  15 [size=\"17590272\", alpha=\"0.13\", expect_size=\"8795136\"] \n  15 -> 20 [size =\"8795136\"]\n  15 -> 22 [size =\"8795136\"]\n  15 -> 23 [size =\"8795136\"]\n  15 -> 24 [size =\"8795136\"]\n  15 -> 25 [size =\"8795136\"]\n  15 -> 27 [size =\"8795136\"]\n  15 -> 28 [size =\"8795136\"]\n  15 -> 31 [size =\"8795136\"]\n  15 -> 34 [size =\"8795136\"]\n  16 [size=\"102287360\", alpha=\"0.19\", expect_size=\"51143680\"] \n  16 -> 20 [size =\"51143680\"]\n  16 -> 23 [size =\"51143680\"]\n  16 -> 27 [size =\"51143680\"]\n  16 -> 30 [size =\"51143680\"]\n  16 -> 31 [size =\"51143680\"]\n  16 -> 32 [size =\"51143680\"]\n  17 [size=\"82571264\", alpha=\"0.03\", expect_size=\"41285632\"] \n  17 -> 19 [size =\"41285632\"]\n  17 -> 20 [size =\"41285632\"]\n  17 -> 22 [size =\"41285632\"]\n  17 -> 23 [size =\"41285632\"]\n  17 -> 27 [size =\"41285632\"]\n  17 -> 31 [size =\"41285632\"]\n  17 -> 35 [size =\"41285632\"]\n  18 [size=\"12791808\", alpha=\"0.15\", expect_size=\"6395904\"] \n  18 -> 20 [size =\"6395904\"]\n  18 -> 20 [size =\"6395904\"]\n  18 -> 22 [size =\"6395904\"]\n  18 -> 23 [size =\"6395904\"]\n  18 -> 27 [size =\"6395904\"]\n  18 -> 28 [size =\"6395904\"]\n  18 -> 31 [size =\"6395904\"]\n  18 -> 32 [size =\"6395904\"]\n  18 -> 35 [size =\"6395904\"]\n  19 [size=\"90689536\", alpha=\"0.03\", expect_size=\"45344768\"] \n  20 [size=\"60254208\", alpha=\"0.09\", expect_size=\"30127104\"] \n  21 [size=\"56666112\", alpha=\"0.08\", expect_size=\"28333056\"] \n  22 [size=\"75907072\", alpha=\"0.19\", expect_size=\"37953536\"] \n  23 [size=\"97118208\", alpha=\"0.01\", expect_size=\"48559104\"] \n  24 [size=\"65466368\", alpha=\"0.06\", expect_size=\"32733184\"] \n  25 [size=\"23691264\", alpha=\"0.08\", expect_size=\"11845632\"] \n  26 [size=\"86943744\", alpha=\"0.02\", expect_size=\"43471872\"] \n  27 [size=\"80740352\", alpha=\"0.15\", expect_size=\"40370176\"] \n  28 [size=\"95959040\", alpha=\"0.03\", expect_size=\"47979520\"] \n  29 [size=\"72249344\", alpha=\"0.02\", expect_size=\"36124672\"] \n  30 [size=\"87302144\", alpha=\"0.15\", expect_size=\"43651072\"] \n  31 [size=\"36360192\", alpha=\"0.13\", expect_size=\"18180096\"] \n  32 [size=\"73768960\", alpha=\"0.02\", expect_size=\"36884480\"] \n  33 [size=\"69617664\", alpha=\"0.11\", expect_size=\"34808832\"] \n  34 [size=\"73584640\", alpha=\"0.05\", expect_size=\"36792320\"] \n  35 [size=\"103327744\", alpha=\"0.01\", expect_size=\"51663872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22700032\", alpha=\"0.05\", expect_size=\"11350016\"] \n  1 -> 9 [size =\"11350016\"]\n  2 [size=\"10625024\", alpha=\"0.18\", expect_size=\"5312512\"] \n  2 -> 7 [size =\"5312512\"]\n  2 -> 8 [size =\"5312512\"]\n  2 -> 10 [size =\"5312512\"]\n  2 -> 11 [size =\"5312512\"]\n  3 [size=\"82468864\", alpha=\"0.15\", expect_size=\"41234432\"] \n  3 -> 9 [size =\"41234432\"]\n  3 -> 11 [size =\"41234432\"]\n  4 [size=\"27641856\", alpha=\"0.02\", expect_size=\"13820928\"] \n  4 -> 11 [size =\"13820928\"]\n  5 [size=\"13459456\", alpha=\"0.13\", expect_size=\"6729728\"] \n  5 -> 8 [size =\"6729728\"]\n  5 -> 9 [size =\"6729728\"]\n  5 -> 10 [size =\"6729728\"]\n  6 [size=\"56741888\", alpha=\"0.15\", expect_size=\"28370944\"] \n  7 [size=\"52727808\", alpha=\"0.07\", expect_size=\"26363904\"] \n  8 [size=\"87267328\", alpha=\"0.07\", expect_size=\"43633664\"] \n  8 -> 12 [size =\"43633664\"]\n  9 [size=\"70584320\", alpha=\"0.14\", expect_size=\"35292160\"] \n  9 -> 12 [size =\"35292160\"]\n  9 -> 13 [size =\"35292160\"]\n  9 -> 14 [size =\"35292160\"]\n  10 [size=\"43958272\", alpha=\"0.09\", expect_size=\"21979136\"] \n  10 -> 15 [size =\"21979136\"]\n  10 -> 16 [size =\"21979136\"]\n  11 [size=\"46555136\", alpha=\"0.01\", expect_size=\"23277568\"] \n  12 [size=\"71675904\", alpha=\"0.05\", expect_size=\"35837952\"] \n  13 [size=\"62296064\", alpha=\"0.15\", expect_size=\"31148032\"] \n  13 -> 17 [size =\"31148032\"]\n  13 -> 18 [size =\"31148032\"]\n  14 [size=\"38670336\", alpha=\"0.08\", expect_size=\"19335168\"] \n  14 -> 17 [size =\"19335168\"]\n  14 -> 19 [size =\"19335168\"]\n  14 -> 20 [size =\"19335168\"]\n  15 [size=\"48267264\", alpha=\"0.04\", expect_size=\"24133632\"] \n  15 -> 20 [size =\"24133632\"]\n  16 [size=\"15308800\", alpha=\"0.05\", expect_size=\"7654400\"] \n  16 -> 18 [size =\"7654400\"]\n  16 -> 19 [size =\"7654400\"]\n  16 -> 20 [size =\"7654400\"]\n  17 [size=\"87566336\", alpha=\"0.11\", expect_size=\"43783168\"] \n  17 -> 21 [size =\"43783168\"]\n  17 -> 22 [size =\"43783168\"]\n  17 -> 25 [size =\"43783168\"]\n  18 [size=\"25346048\", alpha=\"0.11\", expect_size=\"12673024\"] \n  19 [size=\"57210880\", alpha=\"0.05\", expect_size=\"28605440\"] \n  19 -> 22 [size =\"28605440\"]\n  19 -> 24 [size =\"28605440\"]\n  20 [size=\"30281728\", alpha=\"0.01\", expect_size=\"15140864\"] \n  20 -> 21 [size =\"15140864\"]\n  20 -> 22 [size =\"15140864\"]\n  20 -> 23 [size =\"15140864\"]\n  20 -> 25 [size =\"15140864\"]\n  21 [size=\"72880128\", alpha=\"0.00\", expect_size=\"36440064\"] \n  22 [size=\"77891584\", alpha=\"0.19\", expect_size=\"38945792\"] \n  22 -> 27 [size =\"38945792\"]\n  22 -> 28 [size =\"38945792\"]\n  23 [size=\"100491264\", alpha=\"0.12\", expect_size=\"50245632\"] \n  23 -> 26 [size =\"50245632\"]\n  23 -> 28 [size =\"50245632\"]\n  24 [size=\"77920256\", alpha=\"0.10\", expect_size=\"38960128\"] \n  24 -> 26 [size =\"38960128\"]\n  24 -> 27 [size =\"38960128\"]\n  25 [size=\"21139456\", alpha=\"0.08\", expect_size=\"10569728\"] \n  26 [size=\"41734144\", alpha=\"0.16\", expect_size=\"20867072\"] \n  26 -> 31 [size =\"20867072\"]\n  26 -> 32 [size =\"20867072\"]\n  27 [size=\"64972800\", alpha=\"0.13\", expect_size=\"32486400\"] \n  27 -> 29 [size =\"32486400\"]\n  27 -> 30 [size =\"32486400\"]\n  27 -> 31 [size =\"32486400\"]\n  27 -> 33 [size =\"32486400\"]\n  28 [size=\"20191232\", alpha=\"0.06\", expect_size=\"10095616\"] \n  28 -> 29 [size =\"10095616\"]\n  28 -> 30 [size =\"10095616\"]\n  29 [size=\"70318080\", alpha=\"0.12\", expect_size=\"35159040\"] \n  30 [size=\"95989760\", alpha=\"0.05\", expect_size=\"47994880\"] \n  30 -> 34 [size =\"47994880\"]\n  30 -> 35 [size =\"47994880\"]\n  31 [size=\"102725632\", alpha=\"0.06\", expect_size=\"51362816\"] \n  31 -> 34 [size =\"51362816\"]\n  32 [size=\"102742016\", alpha=\"0.19\", expect_size=\"51371008\"] \n  32 -> 34 [size =\"51371008\"]\n  33 [size=\"96178176\", alpha=\"0.04\", expect_size=\"48089088\"] \n  34 [size=\"60647424\", alpha=\"0.14\", expect_size=\"30323712\"] \n  35 [size=\"13307904\", alpha=\"0.13\", expect_size=\"6653952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34185216\", alpha=\"0.15\", expect_size=\"17092608\"] \n  1 -> 2 [size =\"17092608\"]\n  1 -> 3 [size =\"17092608\"]\n  2 [size=\"47280128\", alpha=\"0.01\", expect_size=\"23640064\"] \n  2 -> 4 [size =\"23640064\"]\n  3 [size=\"54726656\", alpha=\"0.05\", expect_size=\"27363328\"] \n  4 [size=\"22165504\", alpha=\"0.16\", expect_size=\"11082752\"] \n  4 -> 5 [size =\"11082752\"]\n  4 -> 6 [size =\"11082752\"]\n  5 [size=\"30896128\", alpha=\"0.05\", expect_size=\"15448064\"] \n  5 -> 7 [size =\"15448064\"]\n  6 [size=\"42721280\", alpha=\"0.01\", expect_size=\"21360640\"] \n  7 [size=\"23298048\", alpha=\"0.10\", expect_size=\"11649024\"] \n  7 -> 8 [size =\"11649024\"]\n  7 -> 9 [size =\"11649024\"]\n  8 [size=\"71870464\", alpha=\"0.09\", expect_size=\"35935232\"] \n  8 -> 10 [size =\"35935232\"]\n  9 [size=\"83679232\", alpha=\"0.10\", expect_size=\"41839616\"] \n  9 -> 10 [size =\"41839616\"]\n  10 [size=\"77985792\", alpha=\"0.09\", expect_size=\"38992896\"] \n  10 -> 11 [size =\"38992896\"]\n  11 [size=\"37683200\", alpha=\"0.09\", expect_size=\"18841600\"] \n  11 -> 12 [size =\"18841600\"]\n  11 -> 13 [size =\"18841600\"]\n  12 [size=\"13471744\", alpha=\"0.13\", expect_size=\"6735872\"] \n  13 [size=\"17989632\", alpha=\"0.08\", expect_size=\"8994816\"] \n  13 -> 14 [size =\"8994816\"]\n  13 -> 15 [size =\"8994816\"]\n  14 [size=\"42999808\", alpha=\"0.10\", expect_size=\"21499904\"] \n  15 [size=\"22814720\", alpha=\"0.02\", expect_size=\"11407360\"] \n  15 -> 16 [size =\"11407360\"]\n  15 -> 17 [size =\"11407360\"]\n  16 [size=\"46360576\", alpha=\"0.09\", expect_size=\"23180288\"] \n  17 [size=\"48803840\", alpha=\"0.03\", expect_size=\"24401920\"] \n  17 -> 18 [size =\"24401920\"]\n  18 [size=\"97992704\", alpha=\"0.02\", expect_size=\"48996352\"] \n  18 -> 19 [size =\"48996352\"]\n  19 [size=\"47919104\", alpha=\"0.05\", expect_size=\"23959552\"] \n  19 -> 20 [size =\"23959552\"]\n  19 -> 21 [size =\"23959552\"]\n  20 [size=\"95334400\", alpha=\"0.02\", expect_size=\"47667200\"] \n  21 [size=\"42653696\", alpha=\"0.04\", expect_size=\"21326848\"] \n  21 -> 22 [size =\"21326848\"]\n  22 [size=\"84398080\", alpha=\"0.14\", expect_size=\"42199040\"] \n  22 -> 23 [size =\"42199040\"]\n  22 -> 24 [size =\"42199040\"]\n  23 [size=\"49369088\", alpha=\"0.14\", expect_size=\"24684544\"] \n  23 -> 25 [size =\"24684544\"]\n  24 [size=\"85825536\", alpha=\"0.16\", expect_size=\"42912768\"] \n  24 -> 25 [size =\"42912768\"]\n  25 [size=\"37570560\", alpha=\"0.02\", expect_size=\"18785280\"] \n  25 -> 26 [size =\"18785280\"]\n  26 [size=\"46682112\", alpha=\"0.15\", expect_size=\"23341056\"] \n  26 -> 27 [size =\"23341056\"]\n  27 [size=\"89298944\", alpha=\"0.11\", expect_size=\"44649472\"] \n  27 -> 28 [size =\"44649472\"]\n  27 -> 29 [size =\"44649472\"]\n  28 [size=\"102526976\", alpha=\"0.19\", expect_size=\"51263488\"] \n  28 -> 30 [size =\"51263488\"]\n  28 -> 31 [size =\"51263488\"]\n  29 [size=\"16175104\", alpha=\"0.04\", expect_size=\"8087552\"] \n  29 -> 30 [size =\"8087552\"]\n  30 [size=\"40024064\", alpha=\"0.02\", expect_size=\"20012032\"] \n  30 -> 33 [size =\"20012032\"]\n  31 [size=\"50601984\", alpha=\"0.07\", expect_size=\"25300992\"] \n  31 -> 32 [size =\"25300992\"]\n  32 [size=\"71608320\", alpha=\"0.11\", expect_size=\"35804160\"] \n  32 -> 35 [size =\"35804160\"]\n  33 [size=\"45465600\", alpha=\"0.18\", expect_size=\"22732800\"] \n  33 -> 34 [size =\"22732800\"]\n  33 -> 35 [size =\"22732800\"]\n  34 [size=\"16418816\", alpha=\"0.11\", expect_size=\"8209408\"] \n  35 [size=\"90517504\", alpha=\"0.08\", expect_size=\"45258752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69632000\", alpha=\"0.19\", expect_size=\"27852800\"] \n  1 -> 2 [size =\"27852800\"]\n  1 -> 3 [size =\"27852800\"]\n  2 [size=\"96074240\", alpha=\"0.12\", expect_size=\"38429696\"] \n  2 -> 4 [size =\"38429696\"]\n  2 -> 5 [size =\"38429696\"]\n  3 [size=\"99816960\", alpha=\"0.10\", expect_size=\"39926784\"] \n  3 -> 4 [size =\"39926784\"]\n  4 [size=\"33154560\", alpha=\"0.09\", expect_size=\"13261824\"] \n  4 -> 6 [size =\"13261824\"]\n  4 -> 7 [size =\"13261824\"]\n  5 [size=\"111313920\", alpha=\"0.18\", expect_size=\"44525568\"] \n  5 -> 6 [size =\"44525568\"]\n  5 -> 7 [size =\"44525568\"]\n  6 [size=\"74378240\", alpha=\"0.05\", expect_size=\"29751296\"] \n  6 -> 8 [size =\"29751296\"]\n  6 -> 9 [size =\"29751296\"]\n  7 [size=\"127168000\", alpha=\"0.08\", expect_size=\"50867200\"] \n  7 -> 8 [size =\"50867200\"]\n  8 [size=\"103577600\", alpha=\"0.13\", expect_size=\"41431040\"] \n  9 [size=\"88220160\", alpha=\"0.18\", expect_size=\"35288064\"] \n  9 -> 10 [size =\"35288064\"]\n  10 [size=\"79050240\", alpha=\"0.05\", expect_size=\"31620096\"] \n  10 -> 11 [size =\"31620096\"]\n  10 -> 12 [size =\"31620096\"]\n  11 [size=\"26076160\", alpha=\"0.14\", expect_size=\"10430464\"] \n  11 -> 13 [size =\"10430464\"]\n  11 -> 14 [size =\"10430464\"]\n  12 [size=\"21734400\", alpha=\"0.00\", expect_size=\"8693760\"] \n  12 -> 13 [size =\"8693760\"]\n  13 [size=\"90293760\", alpha=\"0.02\", expect_size=\"36117504\"] \n  14 [size=\"30522880\", alpha=\"0.04\", expect_size=\"12209152\"] \n  14 -> 15 [size =\"12209152\"]\n  15 [size=\"82831360\", alpha=\"0.04\", expect_size=\"33132544\"] \n  15 -> 16 [size =\"33132544\"]\n  16 [size=\"69890560\", alpha=\"0.19\", expect_size=\"27956224\"] \n  16 -> 17 [size =\"27956224\"]\n  16 -> 18 [size =\"27956224\"]\n  17 [size=\"99133440\", alpha=\"0.11\", expect_size=\"39653376\"] \n  17 -> 19 [size =\"39653376\"]\n  18 [size=\"28887040\", alpha=\"0.14\", expect_size=\"11554816\"] \n  19 [size=\"104711680\", alpha=\"0.17\", expect_size=\"41884672\"] \n  19 -> 20 [size =\"41884672\"]\n  19 -> 21 [size =\"41884672\"]\n  20 [size=\"92047360\", alpha=\"0.06\", expect_size=\"36818944\"] \n  20 -> 22 [size =\"36818944\"]\n  21 [size=\"118817280\", alpha=\"0.04\", expect_size=\"47526912\"] \n  21 -> 23 [size =\"47526912\"]\n  22 [size=\"85509120\", alpha=\"0.16\", expect_size=\"34203648\"] \n  22 -> 24 [size =\"34203648\"]\n  23 [size=\"88320000\", alpha=\"0.03\", expect_size=\"35328000\"] \n  24 [size=\"102039040\", alpha=\"0.14\", expect_size=\"40815616\"] \n  24 -> 25 [size =\"40815616\"]\n  24 -> 26 [size =\"40815616\"]\n  25 [size=\"124354560\", alpha=\"0.01\", expect_size=\"49741824\"] \n  25 -> 27 [size =\"49741824\"]\n  25 -> 28 [size =\"49741824\"]\n  26 [size=\"32552960\", alpha=\"0.18\", expect_size=\"13021184\"] \n  26 -> 27 [size =\"13021184\"]\n  26 -> 28 [size =\"13021184\"]\n  27 [size=\"28904960\", alpha=\"0.15\", expect_size=\"11561984\"] \n  27 -> 29 [size =\"11561984\"]\n  28 [size=\"91281920\", alpha=\"0.07\", expect_size=\"36512768\"] \n  29 [size=\"56627200\", alpha=\"0.12\", expect_size=\"22650880\"] \n  29 -> 30 [size =\"22650880\"]\n  29 -> 31 [size =\"22650880\"]\n  30 [size=\"41497600\", alpha=\"0.08\", expect_size=\"16599040\"] \n  30 -> 32 [size =\"16599040\"]\n  31 [size=\"76971520\", alpha=\"0.06\", expect_size=\"30788608\"] \n  31 -> 32 [size =\"30788608\"]\n  32 [size=\"101611520\", alpha=\"0.05\", expect_size=\"40644608\"] \n  32 -> 33 [size =\"40644608\"]\n  33 [size=\"80422400\", alpha=\"0.18\", expect_size=\"32168960\"] \n  33 -> 34 [size =\"32168960\"]\n  33 -> 35 [size =\"32168960\"]\n  34 [size=\"100116480\", alpha=\"0.14\", expect_size=\"40046592\"] \n  35 [size=\"62776320\", alpha=\"0.01\", expect_size=\"25110528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110156800\", alpha=\"0.15\", expect_size=\"44062720\"] \n  1 -> 2 [size =\"44062720\"]\n  2 [size=\"86336000\", alpha=\"0.17\", expect_size=\"34534400\"] \n  2 -> 3 [size =\"34534400\"]\n  3 [size=\"65495040\", alpha=\"0.09\", expect_size=\"26198016\"] \n  3 -> 4 [size =\"26198016\"]\n  4 [size=\"90439680\", alpha=\"0.14\", expect_size=\"36175872\"] \n  4 -> 5 [size =\"36175872\"]\n  5 [size=\"71488000\", alpha=\"0.10\", expect_size=\"28595200\"] \n  5 -> 6 [size =\"28595200\"]\n  6 [size=\"21068800\", alpha=\"0.13\", expect_size=\"8427520\"] \n  6 -> 7 [size =\"8427520\"]\n  7 [size=\"64384000\", alpha=\"0.01\", expect_size=\"25753600\"] \n  7 -> 8 [size =\"25753600\"]\n  8 [size=\"80965120\", alpha=\"0.20\", expect_size=\"32386048\"] \n  8 -> 9 [size =\"32386048\"]\n  9 [size=\"127470080\", alpha=\"0.04\", expect_size=\"50988032\"] \n  9 -> 10 [size =\"50988032\"]\n  10 [size=\"14274560\", alpha=\"0.09\", expect_size=\"5709824\"] \n  10 -> 11 [size =\"5709824\"]\n  11 [size=\"112972800\", alpha=\"0.01\", expect_size=\"45189120\"] \n  11 -> 12 [size =\"45189120\"]\n  12 [size=\"82055680\", alpha=\"0.13\", expect_size=\"32822272\"] \n  12 -> 13 [size =\"32822272\"]\n  13 [size=\"63841280\", alpha=\"0.15\", expect_size=\"25536512\"] \n  13 -> 14 [size =\"25536512\"]\n  14 [size=\"115438080\", alpha=\"0.10\", expect_size=\"46175232\"] \n  14 -> 15 [size =\"46175232\"]\n  15 [size=\"81666560\", alpha=\"0.11\", expect_size=\"32666624\"] \n  15 -> 16 [size =\"32666624\"]\n  16 [size=\"23564800\", alpha=\"0.11\", expect_size=\"9425920\"] \n  16 -> 17 [size =\"9425920\"]\n  17 [size=\"100167680\", alpha=\"0.16\", expect_size=\"40067072\"] \n  17 -> 18 [size =\"40067072\"]\n  18 [size=\"106214400\", alpha=\"0.15\", expect_size=\"42485760\"] \n  18 -> 19 [size =\"42485760\"]\n  19 [size=\"106145280\", alpha=\"0.07\", expect_size=\"42458112\"] \n  19 -> 20 [size =\"42458112\"]\n  20 [size=\"129341440\", alpha=\"0.20\", expect_size=\"51736576\"] \n  20 -> 21 [size =\"51736576\"]\n  21 [size=\"63795200\", alpha=\"0.09\", expect_size=\"25518080\"] \n  21 -> 22 [size =\"25518080\"]\n  22 [size=\"72629760\", alpha=\"0.11\", expect_size=\"29051904\"] \n  22 -> 23 [size =\"29051904\"]\n  23 [size=\"33387520\", alpha=\"0.01\", expect_size=\"13355008\"] \n  23 -> 24 [size =\"13355008\"]\n  24 [size=\"119772160\", alpha=\"0.05\", expect_size=\"47908864\"] \n  24 -> 25 [size =\"47908864\"]\n  25 [size=\"61913600\", alpha=\"0.18\", expect_size=\"24765440\"] \n  25 -> 26 [size =\"24765440\"]\n  26 [size=\"127293440\", alpha=\"0.13\", expect_size=\"50917376\"] \n  26 -> 27 [size =\"50917376\"]\n  27 [size=\"75980800\", alpha=\"0.16\", expect_size=\"30392320\"] \n  27 -> 28 [size =\"30392320\"]\n  28 [size=\"51609600\", alpha=\"0.11\", expect_size=\"20643840\"] \n  28 -> 29 [size =\"20643840\"]\n  29 [size=\"19655680\", alpha=\"0.06\", expect_size=\"7862272\"] \n  29 -> 30 [size =\"7862272\"]\n  30 [size=\"62479360\", alpha=\"0.00\", expect_size=\"24991744\"] \n  30 -> 31 [size =\"24991744\"]\n  31 [size=\"62146560\", alpha=\"0.12\", expect_size=\"24858624\"] \n  31 -> 32 [size =\"24858624\"]\n  32 [size=\"115709440\", alpha=\"0.15\", expect_size=\"46283776\"] \n  32 -> 33 [size =\"46283776\"]\n  33 [size=\"60472320\", alpha=\"0.07\", expect_size=\"24188928\"] \n  33 -> 34 [size =\"24188928\"]\n  34 [size=\"66782720\", alpha=\"0.16\", expect_size=\"26713088\"] \n  34 -> 35 [size =\"26713088\"]\n  35 [size=\"94010880\", alpha=\"0.17\", expect_size=\"37604352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64571392\", alpha=\"0.10\", expect_size=\"32285696\"] \n  1 -> 2 [size =\"32285696\"]\n  2 [size=\"31500288\", alpha=\"0.14\", expect_size=\"15750144\"] \n  2 -> 3 [size =\"15750144\"]\n  3 [size=\"47015936\", alpha=\"0.14\", expect_size=\"23507968\"] \n  3 -> 4 [size =\"23507968\"]\n  4 [size=\"102854656\", alpha=\"0.17\", expect_size=\"51427328\"] \n  4 -> 5 [size =\"51427328\"]\n  5 [size=\"20901888\", alpha=\"0.12\", expect_size=\"10450944\"] \n  5 -> 6 [size =\"10450944\"]\n  6 [size=\"44367872\", alpha=\"0.19\", expect_size=\"22183936\"] \n  6 -> 7 [size =\"22183936\"]\n  7 [size=\"60911616\", alpha=\"0.16\", expect_size=\"30455808\"] \n  7 -> 8 [size =\"30455808\"]\n  8 [size=\"69873664\", alpha=\"0.11\", expect_size=\"34936832\"] \n  8 -> 9 [size =\"34936832\"]\n  9 [size=\"62760960\", alpha=\"0.03\", expect_size=\"31380480\"] \n  9 -> 10 [size =\"31380480\"]\n  10 [size=\"61659136\", alpha=\"0.12\", expect_size=\"30829568\"] \n  10 -> 11 [size =\"30829568\"]\n  11 [size=\"97724416\", alpha=\"0.00\", expect_size=\"48862208\"] \n  11 -> 12 [size =\"48862208\"]\n  12 [size=\"52256768\", alpha=\"0.10\", expect_size=\"26128384\"] \n  12 -> 13 [size =\"26128384\"]\n  13 [size=\"24553472\", alpha=\"0.12\", expect_size=\"12276736\"] \n  13 -> 14 [size =\"12276736\"]\n  14 [size=\"92080128\", alpha=\"0.00\", expect_size=\"46040064\"] \n  14 -> 15 [size =\"46040064\"]\n  15 [size=\"75827200\", alpha=\"0.15\", expect_size=\"37913600\"] \n  15 -> 16 [size =\"37913600\"]\n  16 [size=\"38600704\", alpha=\"0.17\", expect_size=\"19300352\"] \n  16 -> 17 [size =\"19300352\"]\n  17 [size=\"34842624\", alpha=\"0.14\", expect_size=\"17421312\"] \n  17 -> 18 [size =\"17421312\"]\n  18 [size=\"15910912\", alpha=\"0.12\", expect_size=\"7955456\"] \n  18 -> 19 [size =\"7955456\"]\n  19 [size=\"69957632\", alpha=\"0.04\", expect_size=\"34978816\"] \n  19 -> 20 [size =\"34978816\"]\n  20 [size=\"85129216\", alpha=\"0.20\", expect_size=\"42564608\"] \n  20 -> 21 [size =\"42564608\"]\n  21 [size=\"49160192\", alpha=\"0.06\", expect_size=\"24580096\"] \n  21 -> 22 [size =\"24580096\"]\n  22 [size=\"49881088\", alpha=\"0.18\", expect_size=\"24940544\"] \n  22 -> 23 [size =\"24940544\"]\n  23 [size=\"95176704\", alpha=\"0.17\", expect_size=\"47588352\"] \n  23 -> 24 [size =\"47588352\"]\n  24 [size=\"57282560\", alpha=\"0.15\", expect_size=\"28641280\"] \n  24 -> 25 [size =\"28641280\"]\n  25 [size=\"59525120\", alpha=\"0.16\", expect_size=\"29762560\"] \n  25 -> 26 [size =\"29762560\"]\n  26 [size=\"33595392\", alpha=\"0.04\", expect_size=\"16797696\"] \n  26 -> 27 [size =\"16797696\"]\n  27 [size=\"18081792\", alpha=\"0.02\", expect_size=\"9040896\"] \n  27 -> 28 [size =\"9040896\"]\n  28 [size=\"83585024\", alpha=\"0.13\", expect_size=\"41792512\"] \n  28 -> 29 [size =\"41792512\"]\n  29 [size=\"44548096\", alpha=\"0.16\", expect_size=\"22274048\"] \n  29 -> 30 [size =\"22274048\"]\n  30 [size=\"65282048\", alpha=\"0.09\", expect_size=\"32641024\"] \n  30 -> 31 [size =\"32641024\"]\n  31 [size=\"63688704\", alpha=\"0.00\", expect_size=\"31844352\"] \n  31 -> 32 [size =\"31844352\"]\n  32 [size=\"93849600\", alpha=\"0.01\", expect_size=\"46924800\"] \n  32 -> 33 [size =\"46924800\"]\n  33 [size=\"82409472\", alpha=\"0.04\", expect_size=\"41204736\"] \n  33 -> 34 [size =\"41204736\"]\n  34 [size=\"65904640\", alpha=\"0.05\", expect_size=\"32952320\"] \n  34 -> 35 [size =\"32952320\"]\n  35 [size=\"42328064\", alpha=\"0.19\", expect_size=\"21164032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65295360\", alpha=\"0.17\", expect_size=\"26118144\"] \n  1 -> 13 [size =\"26118144\"]\n  1 -> 16 [size =\"26118144\"]\n  1 -> 18 [size =\"26118144\"]\n  1 -> 24 [size =\"26118144\"]\n  2 [size=\"28495360\", alpha=\"0.12\", expect_size=\"11398144\"] \n  2 -> 16 [size =\"11398144\"]\n  2 -> 18 [size =\"11398144\"]\n  3 [size=\"105799680\", alpha=\"0.16\", expect_size=\"42319872\"] \n  3 -> 15 [size =\"42319872\"]\n  4 [size=\"119864320\", alpha=\"0.14\", expect_size=\"47945728\"] \n  4 -> 15 [size =\"47945728\"]\n  4 -> 16 [size =\"47945728\"]\n  4 -> 21 [size =\"47945728\"]\n  4 -> 23 [size =\"47945728\"]\n  4 -> 24 [size =\"47945728\"]\n  5 [size=\"96668160\", alpha=\"0.06\", expect_size=\"38667264\"] \n  5 -> 15 [size =\"38667264\"]\n  5 -> 17 [size =\"38667264\"]\n  5 -> 19 [size =\"38667264\"]\n  5 -> 20 [size =\"38667264\"]\n  5 -> 21 [size =\"38667264\"]\n  5 -> 24 [size =\"38667264\"]\n  6 [size=\"95168000\", alpha=\"0.03\", expect_size=\"38067200\"] \n  6 -> 13 [size =\"38067200\"]\n  6 -> 15 [size =\"38067200\"]\n  6 -> 18 [size =\"38067200\"]\n  6 -> 22 [size =\"38067200\"]\n  7 [size=\"44838400\", alpha=\"0.10\", expect_size=\"17935360\"] \n  7 -> 16 [size =\"17935360\"]\n  7 -> 19 [size =\"17935360\"]\n  7 -> 22 [size =\"17935360\"]\n  8 [size=\"117317120\", alpha=\"0.13\", expect_size=\"46926848\"] \n  8 -> 13 [size =\"46926848\"]\n  8 -> 14 [size =\"46926848\"]\n  8 -> 15 [size =\"46926848\"]\n  8 -> 16 [size =\"46926848\"]\n  8 -> 19 [size =\"46926848\"]\n  8 -> 22 [size =\"46926848\"]\n  8 -> 24 [size =\"46926848\"]\n  9 [size=\"115240960\", alpha=\"0.17\", expect_size=\"46096384\"] \n  9 -> 16 [size =\"46096384\"]\n  9 -> 19 [size =\"46096384\"]\n  9 -> 20 [size =\"46096384\"]\n  9 -> 23 [size =\"46096384\"]\n  10 [size=\"67484160\", alpha=\"0.10\", expect_size=\"26993664\"] \n  10 -> 19 [size =\"26993664\"]\n  10 -> 21 [size =\"26993664\"]\n  11 [size=\"86553600\", alpha=\"0.04\", expect_size=\"34621440\"] \n  11 -> 18 [size =\"34621440\"]\n  11 -> 20 [size =\"34621440\"]\n  11 -> 21 [size =\"34621440\"]\n  11 -> 23 [size =\"34621440\"]\n  11 -> 24 [size =\"34621440\"]\n  12 [size=\"66652160\", alpha=\"0.11\", expect_size=\"26660864\"] \n  12 -> 15 [size =\"26660864\"]\n  12 -> 18 [size =\"26660864\"]\n  12 -> 21 [size =\"26660864\"]\n  13 [size=\"17210880\", alpha=\"0.08\", expect_size=\"6884352\"] \n  13 -> 29 [size =\"6884352\"]\n  13 -> 33 [size =\"6884352\"]\n  13 -> 34 [size =\"6884352\"]\n  14 [size=\"112250880\", alpha=\"0.05\", expect_size=\"44900352\"] \n  14 -> 27 [size =\"44900352\"]\n  14 -> 29 [size =\"44900352\"]\n  14 -> 34 [size =\"44900352\"]\n  15 [size=\"77608960\", alpha=\"0.09\", expect_size=\"31043584\"] \n  15 -> 35 [size =\"31043584\"]\n  16 [size=\"114024960\", alpha=\"0.17\", expect_size=\"45609984\"] \n  16 -> 35 [size =\"45609984\"]\n  17 [size=\"128837120\", alpha=\"0.13\", expect_size=\"51534848\"] \n  17 -> 25 [size =\"51534848\"]\n  17 -> 28 [size =\"51534848\"]\n  17 -> 31 [size =\"51534848\"]\n  17 -> 32 [size =\"51534848\"]\n  18 [size=\"67146240\", alpha=\"0.15\", expect_size=\"26858496\"] \n  18 -> 28 [size =\"26858496\"]\n  18 -> 30 [size =\"26858496\"]\n  18 -> 32 [size =\"26858496\"]\n  18 -> 33 [size =\"26858496\"]\n  19 [size=\"25497600\", alpha=\"0.07\", expect_size=\"10199040\"] \n  19 -> 29 [size =\"10199040\"]\n  19 -> 31 [size =\"10199040\"]\n  20 [size=\"125688320\", alpha=\"0.17\", expect_size=\"50275328\"] \n  20 -> 33 [size =\"50275328\"]\n  20 -> 34 [size =\"50275328\"]\n  20 -> 35 [size =\"50275328\"]\n  21 [size=\"64529920\", alpha=\"0.15\", expect_size=\"25811968\"] \n  21 -> 25 [size =\"25811968\"]\n  21 -> 26 [size =\"25811968\"]\n  21 -> 29 [size =\"25811968\"]\n  21 -> 30 [size =\"25811968\"]\n  21 -> 33 [size =\"25811968\"]\n  21 -> 34 [size =\"25811968\"]\n  22 [size=\"85386240\", alpha=\"0.16\", expect_size=\"34154496\"] \n  22 -> 25 [size =\"34154496\"]\n  22 -> 28 [size =\"34154496\"]\n  22 -> 30 [size =\"34154496\"]\n  22 -> 31 [size =\"34154496\"]\n  22 -> 35 [size =\"34154496\"]\n  23 [size=\"34736640\", alpha=\"0.12\", expect_size=\"13894656\"] \n  23 -> 31 [size =\"13894656\"]\n  23 -> 33 [size =\"13894656\"]\n  23 -> 35 [size =\"13894656\"]\n  24 [size=\"84249600\", alpha=\"0.07\", expect_size=\"33699840\"] \n  24 -> 27 [size =\"33699840\"]\n  24 -> 31 [size =\"33699840\"]\n  24 -> 33 [size =\"33699840\"]\n  25 [size=\"112919040\", alpha=\"0.16\", expect_size=\"45167616\"] \n  26 [size=\"48706560\", alpha=\"0.19\", expect_size=\"19482624\"] \n  27 [size=\"32691200\", alpha=\"0.07\", expect_size=\"13076480\"] \n  28 [size=\"109601280\", alpha=\"0.13\", expect_size=\"43840512\"] \n  29 [size=\"82401280\", alpha=\"0.16\", expect_size=\"32960512\"] \n  30 [size=\"126164480\", alpha=\"0.08\", expect_size=\"50465792\"] \n  31 [size=\"107335680\", alpha=\"0.13\", expect_size=\"42934272\"] \n  32 [size=\"78103040\", alpha=\"0.07\", expect_size=\"31241216\"] \n  33 [size=\"53852160\", alpha=\"0.01\", expect_size=\"21540864\"] \n  34 [size=\"127280640\", alpha=\"0.13\", expect_size=\"50912256\"] \n  35 [size=\"51253760\", alpha=\"0.15\", expect_size=\"20501504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91863040\", alpha=\"0.16\", expect_size=\"27558912\"] \n  1 -> 2 [size =\"27558912\"]\n  2 [size=\"167195307\", alpha=\"0.14\", expect_size=\"50158592\"] \n  2 -> 3 [size =\"50158592\"]\n  3 [size=\"66874027\", alpha=\"0.19\", expect_size=\"20062208\"] \n  3 -> 4 [size =\"20062208\"]\n  4 [size=\"132904960\", alpha=\"0.11\", expect_size=\"39871488\"] \n  4 -> 5 [size =\"39871488\"]\n  5 [size=\"143510187\", alpha=\"0.12\", expect_size=\"43053056\"] \n  5 -> 6 [size =\"43053056\"]\n  6 [size=\"99805867\", alpha=\"0.20\", expect_size=\"29941760\"] \n  6 -> 7 [size =\"29941760\"]\n  7 [size=\"128320853\", alpha=\"0.16\", expect_size=\"38496256\"] \n  7 -> 8 [size =\"38496256\"]\n  8 [size=\"59354453\", alpha=\"0.01\", expect_size=\"17806336\"] \n  8 -> 9 [size =\"17806336\"]\n  9 [size=\"23050240\", alpha=\"0.04\", expect_size=\"6915072\"] \n  9 -> 10 [size =\"6915072\"]\n  10 [size=\"78124373\", alpha=\"0.03\", expect_size=\"23437312\"] \n  10 -> 11 [size =\"23437312\"]\n  11 [size=\"66880853\", alpha=\"0.07\", expect_size=\"20064256\"] \n  11 -> 12 [size =\"20064256\"]\n  12 [size=\"31621120\", alpha=\"0.15\", expect_size=\"9486336\"] \n  12 -> 13 [size =\"9486336\"]\n  13 [size=\"145619627\", alpha=\"0.05\", expect_size=\"43685888\"] \n  13 -> 14 [size =\"43685888\"]\n  14 [size=\"133826560\", alpha=\"0.09\", expect_size=\"40147968\"] \n  14 -> 15 [size =\"40147968\"]\n  15 [size=\"62078293\", alpha=\"0.10\", expect_size=\"18623488\"] \n  15 -> 16 [size =\"18623488\"]\n  16 [size=\"158883840\", alpha=\"0.05\", expect_size=\"47665152\"] \n  16 -> 17 [size =\"47665152\"]\n  17 [size=\"155822080\", alpha=\"0.15\", expect_size=\"46746624\"] \n  17 -> 18 [size =\"46746624\"]\n  18 [size=\"125678933\", alpha=\"0.16\", expect_size=\"37703680\"] \n  18 -> 19 [size =\"37703680\"]\n  19 [size=\"133167787\", alpha=\"0.16\", expect_size=\"39950336\"] \n  19 -> 20 [size =\"39950336\"]\n  20 [size=\"167724373\", alpha=\"0.04\", expect_size=\"50317312\"] \n  20 -> 21 [size =\"50317312\"]\n  21 [size=\"34775040\", alpha=\"0.01\", expect_size=\"10432512\"] \n  21 -> 22 [size =\"10432512\"]\n  22 [size=\"91064320\", alpha=\"0.18\", expect_size=\"27319296\"] \n  22 -> 23 [size =\"27319296\"]\n  23 [size=\"51319467\", alpha=\"0.01\", expect_size=\"15395840\"] \n  23 -> 24 [size =\"15395840\"]\n  24 [size=\"92132693\", alpha=\"0.19\", expect_size=\"27639808\"] \n  24 -> 25 [size =\"27639808\"]\n  25 [size=\"163444053\", alpha=\"0.13\", expect_size=\"49033216\"] \n  25 -> 26 [size =\"49033216\"]\n  26 [size=\"80906240\", alpha=\"0.17\", expect_size=\"24271872\"] \n  26 -> 27 [size =\"24271872\"]\n  27 [size=\"121234773\", alpha=\"0.15\", expect_size=\"36370432\"] \n  27 -> 28 [size =\"36370432\"]\n  28 [size=\"80954027\", alpha=\"0.19\", expect_size=\"24286208\"] \n  28 -> 29 [size =\"24286208\"]\n  29 [size=\"46742187\", alpha=\"0.03\", expect_size=\"14022656\"] \n  29 -> 30 [size =\"14022656\"]\n  30 [size=\"169400320\", alpha=\"0.15\", expect_size=\"50820096\"] \n  30 -> 31 [size =\"50820096\"]\n  31 [size=\"42144427\", alpha=\"0.13\", expect_size=\"12643328\"] \n  31 -> 32 [size =\"12643328\"]\n  32 [size=\"53934080\", alpha=\"0.13\", expect_size=\"16180224\"] \n  32 -> 33 [size =\"16180224\"]\n  33 [size=\"39918933\", alpha=\"0.10\", expect_size=\"11975680\"] \n  33 -> 34 [size =\"11975680\"]\n  34 [size=\"49500160\", alpha=\"0.01\", expect_size=\"14850048\"] \n  34 -> 35 [size =\"14850048\"]\n  35 [size=\"40823467\", alpha=\"0.18\", expect_size=\"12247040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27622400\", alpha=\"0.09\", expect_size=\"11048960\"] \n  1 -> 6 [size =\"11048960\"]\n  2 [size=\"14108160\", alpha=\"0.03\", expect_size=\"5643264\"] \n  3 [size=\"77368320\", alpha=\"0.07\", expect_size=\"30947328\"] \n  3 -> 6 [size =\"30947328\"]\n  3 -> 7 [size =\"30947328\"]\n  3 -> 8 [size =\"30947328\"]\n  4 [size=\"127060480\", alpha=\"0.18\", expect_size=\"50824192\"] \n  4 -> 5 [size =\"50824192\"]\n  4 -> 8 [size =\"50824192\"]\n  5 [size=\"70067200\", alpha=\"0.09\", expect_size=\"28026880\"] \n  5 -> 11 [size =\"28026880\"]\n  5 -> 12 [size =\"28026880\"]\n  5 -> 13 [size =\"28026880\"]\n  6 [size=\"107248640\", alpha=\"0.20\", expect_size=\"42899456\"] \n  6 -> 9 [size =\"42899456\"]\n  6 -> 10 [size =\"42899456\"]\n  6 -> 11 [size =\"42899456\"]\n  6 -> 13 [size =\"42899456\"]\n  6 -> 14 [size =\"42899456\"]\n  7 [size=\"88972800\", alpha=\"0.12\", expect_size=\"35589120\"] \n  8 [size=\"121538560\", alpha=\"0.18\", expect_size=\"48615424\"] \n  8 -> 9 [size =\"48615424\"]\n  8 -> 12 [size =\"48615424\"]\n  9 [size=\"106273280\", alpha=\"0.06\", expect_size=\"42509312\"] \n  10 [size=\"13391360\", alpha=\"0.18\", expect_size=\"5356544\"] \n  10 -> 16 [size =\"5356544\"]\n  11 [size=\"107816960\", alpha=\"0.15\", expect_size=\"43126784\"] \n  11 -> 15 [size =\"43126784\"]\n  11 -> 17 [size =\"43126784\"]\n  11 -> 18 [size =\"43126784\"]\n  12 [size=\"42982400\", alpha=\"0.06\", expect_size=\"17192960\"] \n  12 -> 18 [size =\"17192960\"]\n  13 [size=\"62963200\", alpha=\"0.05\", expect_size=\"25185280\"] \n  14 [size=\"105635840\", alpha=\"0.06\", expect_size=\"42254336\"] \n  15 [size=\"95047680\", alpha=\"0.08\", expect_size=\"38019072\"] \n  15 -> 19 [size =\"38019072\"]\n  15 -> 21 [size =\"38019072\"]\n  16 [size=\"30865920\", alpha=\"0.08\", expect_size=\"12346368\"] \n  16 -> 20 [size =\"12346368\"]\n  16 -> 21 [size =\"12346368\"]\n  16 -> 22 [size =\"12346368\"]\n  17 [size=\"28433920\", alpha=\"0.18\", expect_size=\"11373568\"] \n  18 [size=\"98849280\", alpha=\"0.13\", expect_size=\"39539712\"] \n  18 -> 19 [size =\"39539712\"]\n  18 -> 20 [size =\"39539712\"]\n  19 [size=\"84705280\", alpha=\"0.13\", expect_size=\"33882112\"] \n  19 -> 23 [size =\"33882112\"]\n  19 -> 24 [size =\"33882112\"]\n  20 [size=\"121269760\", alpha=\"0.14\", expect_size=\"48507904\"] \n  20 -> 26 [size =\"48507904\"]\n  21 [size=\"107366400\", alpha=\"0.18\", expect_size=\"42946560\"] \n  22 [size=\"79900160\", alpha=\"0.02\", expect_size=\"31960064\"] \n  22 -> 25 [size =\"31960064\"]\n  23 [size=\"114739200\", alpha=\"0.16\", expect_size=\"45895680\"] \n  23 -> 28 [size =\"45895680\"]\n  24 [size=\"24130560\", alpha=\"0.11\", expect_size=\"9652224\"] \n  24 -> 27 [size =\"9652224\"]\n  24 -> 29 [size =\"9652224\"]\n  25 [size=\"57756160\", alpha=\"0.14\", expect_size=\"23102464\"] \n  25 -> 27 [size =\"23102464\"]\n  25 -> 28 [size =\"23102464\"]\n  25 -> 29 [size =\"23102464\"]\n  26 [size=\"102694400\", alpha=\"0.14\", expect_size=\"41077760\"] \n  27 [size=\"33344000\", alpha=\"0.07\", expect_size=\"13337600\"] \n  27 -> 30 [size =\"13337600\"]\n  28 [size=\"19156480\", alpha=\"0.18\", expect_size=\"7662592\"] \n  28 -> 30 [size =\"7662592\"]\n  28 -> 34 [size =\"7662592\"]\n  29 [size=\"95595520\", alpha=\"0.04\", expect_size=\"38238208\"] \n  29 -> 31 [size =\"38238208\"]\n  29 -> 32 [size =\"38238208\"]\n  29 -> 33 [size =\"38238208\"]\n  30 [size=\"52902400\", alpha=\"0.11\", expect_size=\"21160960\"] \n  31 [size=\"17704960\", alpha=\"0.14\", expect_size=\"7081984\"] \n  31 -> 35 [size =\"7081984\"]\n  32 [size=\"122483200\", alpha=\"0.02\", expect_size=\"48993280\"] \n  33 [size=\"14343680\", alpha=\"0.19\", expect_size=\"5737472\"] \n  34 [size=\"111444480\", alpha=\"0.11\", expect_size=\"44577792\"] \n  35 [size=\"55879680\", alpha=\"0.17\", expect_size=\"22351872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161204907\", alpha=\"0.18\", expect_size=\"48361472\"] \n  1 -> 9 [size =\"48361472\"]\n  2 [size=\"61054293\", alpha=\"0.13\", expect_size=\"18316288\"] \n  2 -> 7 [size =\"18316288\"]\n  3 [size=\"42024960\", alpha=\"0.16\", expect_size=\"12607488\"] \n  3 -> 7 [size =\"12607488\"]\n  3 -> 9 [size =\"12607488\"]\n  4 [size=\"79527253\", alpha=\"0.08\", expect_size=\"23858176\"] \n  4 -> 6 [size =\"23858176\"]\n  5 [size=\"105567573\", alpha=\"0.10\", expect_size=\"31670272\"] \n  5 -> 6 [size =\"31670272\"]\n  5 -> 8 [size =\"31670272\"]\n  5 -> 10 [size =\"31670272\"]\n  6 [size=\"49609387\", alpha=\"0.20\", expect_size=\"14882816\"] \n  6 -> 12 [size =\"14882816\"]\n  6 -> 13 [size =\"14882816\"]\n  6 -> 14 [size =\"14882816\"]\n  7 [size=\"81380693\", alpha=\"0.03\", expect_size=\"24414208\"] \n  7 -> 13 [size =\"24414208\"]\n  7 -> 14 [size =\"24414208\"]\n  8 [size=\"54190080\", alpha=\"0.14\", expect_size=\"16257024\"] \n  9 [size=\"150299307\", alpha=\"0.11\", expect_size=\"45089792\"] \n  9 -> 11 [size =\"45089792\"]\n  9 -> 14 [size =\"45089792\"]\n  10 [size=\"40188587\", alpha=\"0.17\", expect_size=\"12056576\"] \n  10 -> 12 [size =\"12056576\"]\n  11 [size=\"144718507\", alpha=\"0.13\", expect_size=\"43415552\"] \n  11 -> 15 [size =\"43415552\"]\n  11 -> 18 [size =\"43415552\"]\n  12 [size=\"130054827\", alpha=\"0.19\", expect_size=\"39016448\"] \n  12 -> 15 [size =\"39016448\"]\n  12 -> 17 [size =\"39016448\"]\n  12 -> 19 [size =\"39016448\"]\n  12 -> 20 [size =\"39016448\"]\n  13 [size=\"72649387\", alpha=\"0.18\", expect_size=\"21794816\"] \n  13 -> 16 [size =\"21794816\"]\n  13 -> 19 [size =\"21794816\"]\n  14 [size=\"41775787\", alpha=\"0.05\", expect_size=\"12532736\"] \n  15 [size=\"101775360\", alpha=\"0.07\", expect_size=\"30532608\"] \n  15 -> 21 [size =\"30532608\"]\n  15 -> 22 [size =\"30532608\"]\n  16 [size=\"24238080\", alpha=\"0.03\", expect_size=\"7271424\"] \n  16 -> 21 [size =\"7271424\"]\n  16 -> 24 [size =\"7271424\"]\n  17 [size=\"23647573\", alpha=\"0.13\", expect_size=\"7094272\"] \n  17 -> 24 [size =\"7094272\"]\n  18 [size=\"48868693\", alpha=\"0.07\", expect_size=\"14660608\"] \n  18 -> 22 [size =\"14660608\"]\n  19 [size=\"155665067\", alpha=\"0.09\", expect_size=\"46699520\"] \n  19 -> 22 [size =\"46699520\"]\n  19 -> 23 [size =\"46699520\"]\n  20 [size=\"83732480\", alpha=\"0.15\", expect_size=\"25119744\"] \n  20 -> 21 [size =\"25119744\"]\n  21 [size=\"58555733\", alpha=\"0.19\", expect_size=\"17566720\"] \n  21 -> 25 [size =\"17566720\"]\n  21 -> 26 [size =\"17566720\"]\n  22 [size=\"158351360\", alpha=\"0.09\", expect_size=\"47505408\"] \n  22 -> 27 [size =\"47505408\"]\n  23 [size=\"150207147\", alpha=\"0.02\", expect_size=\"45062144\"] \n  23 -> 25 [size =\"45062144\"]\n  23 -> 27 [size =\"45062144\"]\n  24 [size=\"136891733\", alpha=\"0.03\", expect_size=\"41067520\"] \n  25 [size=\"22323200\", alpha=\"0.14\", expect_size=\"6696960\"] \n  25 -> 28 [size =\"6696960\"]\n  25 -> 31 [size =\"6696960\"]\n  26 [size=\"80134827\", alpha=\"0.10\", expect_size=\"24040448\"] \n  26 -> 29 [size =\"24040448\"]\n  27 [size=\"100642133\", alpha=\"0.14\", expect_size=\"30192640\"] \n  27 -> 28 [size =\"30192640\"]\n  27 -> 30 [size =\"30192640\"]\n  27 -> 31 [size =\"30192640\"]\n  28 [size=\"48940373\", alpha=\"0.03\", expect_size=\"14682112\"] \n  28 -> 32 [size =\"14682112\"]\n  29 [size=\"100945920\", alpha=\"0.09\", expect_size=\"30283776\"] \n  29 -> 33 [size =\"30283776\"]\n  29 -> 34 [size =\"30283776\"]\n  29 -> 35 [size =\"30283776\"]\n  30 [size=\"174479360\", alpha=\"0.17\", expect_size=\"52343808\"] \n  30 -> 33 [size =\"52343808\"]\n  30 -> 35 [size =\"52343808\"]\n  31 [size=\"136823467\", alpha=\"0.02\", expect_size=\"41047040\"] \n  32 [size=\"131706880\", alpha=\"0.01\", expect_size=\"39512064\"] \n  33 [size=\"45428053\", alpha=\"0.07\", expect_size=\"13628416\"] \n  34 [size=\"59822080\", alpha=\"0.16\", expect_size=\"17946624\"] \n  35 [size=\"79653547\", alpha=\"0.16\", expect_size=\"23896064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70231040\", alpha=\"0.12\", expect_size=\"28092416\"] \n  1 -> 2 [size =\"28092416\"]\n  2 [size=\"41541120\", alpha=\"0.01\", expect_size=\"16616448\"] \n  2 -> 3 [size =\"16616448\"]\n  3 [size=\"92024320\", alpha=\"0.04\", expect_size=\"36809728\"] \n  3 -> 4 [size =\"36809728\"]\n  4 [size=\"61468160\", alpha=\"0.12\", expect_size=\"24587264\"] \n  4 -> 5 [size =\"24587264\"]\n  5 [size=\"22474240\", alpha=\"0.07\", expect_size=\"8989696\"] \n  5 -> 6 [size =\"8989696\"]\n  6 [size=\"105973760\", alpha=\"0.01\", expect_size=\"42389504\"] \n  6 -> 7 [size =\"42389504\"]\n  7 [size=\"37030400\", alpha=\"0.05\", expect_size=\"14812160\"] \n  7 -> 8 [size =\"14812160\"]\n  8 [size=\"91059200\", alpha=\"0.14\", expect_size=\"36423680\"] \n  8 -> 9 [size =\"36423680\"]\n  9 [size=\"14251520\", alpha=\"0.12\", expect_size=\"5700608\"] \n  9 -> 10 [size =\"5700608\"]\n  10 [size=\"24243200\", alpha=\"0.12\", expect_size=\"9697280\"] \n  10 -> 11 [size =\"9697280\"]\n  11 [size=\"93754880\", alpha=\"0.04\", expect_size=\"37501952\"] \n  11 -> 12 [size =\"37501952\"]\n  12 [size=\"47685120\", alpha=\"0.16\", expect_size=\"19074048\"] \n  12 -> 13 [size =\"19074048\"]\n  13 [size=\"56504320\", alpha=\"0.11\", expect_size=\"22601728\"] \n  13 -> 14 [size =\"22601728\"]\n  14 [size=\"79275520\", alpha=\"0.08\", expect_size=\"31710208\"] \n  14 -> 15 [size =\"31710208\"]\n  15 [size=\"29985280\", alpha=\"0.04\", expect_size=\"11994112\"] \n  15 -> 16 [size =\"11994112\"]\n  16 [size=\"68759040\", alpha=\"0.05\", expect_size=\"27503616\"] \n  16 -> 17 [size =\"27503616\"]\n  17 [size=\"73280000\", alpha=\"0.04\", expect_size=\"29312000\"] \n  17 -> 18 [size =\"29312000\"]\n  18 [size=\"104816640\", alpha=\"0.00\", expect_size=\"41926656\"] \n  18 -> 19 [size =\"41926656\"]\n  19 [size=\"70410240\", alpha=\"0.04\", expect_size=\"28164096\"] \n  19 -> 20 [size =\"28164096\"]\n  20 [size=\"24583680\", alpha=\"0.14\", expect_size=\"9833472\"] \n  20 -> 21 [size =\"9833472\"]\n  21 [size=\"95441920\", alpha=\"0.14\", expect_size=\"38176768\"] \n  21 -> 22 [size =\"38176768\"]\n  22 [size=\"118039040\", alpha=\"0.19\", expect_size=\"47215616\"] \n  22 -> 23 [size =\"47215616\"]\n  23 [size=\"95854080\", alpha=\"0.16\", expect_size=\"38341632\"] \n  23 -> 24 [size =\"38341632\"]\n  24 [size=\"41454080\", alpha=\"0.03\", expect_size=\"16581632\"] \n  24 -> 25 [size =\"16581632\"]\n  25 [size=\"90019840\", alpha=\"0.10\", expect_size=\"36007936\"] \n  25 -> 26 [size =\"36007936\"]\n  26 [size=\"115443200\", alpha=\"0.14\", expect_size=\"46177280\"] \n  26 -> 27 [size =\"46177280\"]\n  27 [size=\"25006080\", alpha=\"0.01\", expect_size=\"10002432\"] \n  27 -> 28 [size =\"10002432\"]\n  28 [size=\"49592320\", alpha=\"0.02\", expect_size=\"19836928\"] \n  28 -> 29 [size =\"19836928\"]\n  29 [size=\"52144640\", alpha=\"0.03\", expect_size=\"20857856\"] \n  29 -> 30 [size =\"20857856\"]\n  30 [size=\"76920320\", alpha=\"0.06\", expect_size=\"30768128\"] \n  30 -> 31 [size =\"30768128\"]\n  31 [size=\"43028480\", alpha=\"0.02\", expect_size=\"17211392\"] \n  31 -> 32 [size =\"17211392\"]\n  32 [size=\"125552640\", alpha=\"0.05\", expect_size=\"50221056\"] \n  32 -> 33 [size =\"50221056\"]\n  33 [size=\"117007360\", alpha=\"0.14\", expect_size=\"46802944\"] \n  33 -> 34 [size =\"46802944\"]\n  34 [size=\"96307200\", alpha=\"0.15\", expect_size=\"38522880\"] \n  34 -> 35 [size =\"38522880\"]\n  35 [size=\"111815680\", alpha=\"0.19\", expect_size=\"44726272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37720064\", alpha=\"0.17\", expect_size=\"18860032\"] \n  1 -> 2 [size =\"18860032\"]\n  2 [size=\"22978560\", alpha=\"0.20\", expect_size=\"11489280\"] \n  2 -> 3 [size =\"11489280\"]\n  3 [size=\"17633280\", alpha=\"0.18\", expect_size=\"8816640\"] \n  3 -> 4 [size =\"8816640\"]\n  4 [size=\"96946176\", alpha=\"0.04\", expect_size=\"48473088\"] \n  4 -> 5 [size =\"48473088\"]\n  5 [size=\"99584000\", alpha=\"0.17\", expect_size=\"49792000\"] \n  5 -> 6 [size =\"49792000\"]\n  6 [size=\"102041600\", alpha=\"0.03\", expect_size=\"51020800\"] \n  6 -> 7 [size =\"51020800\"]\n  7 [size=\"37382144\", alpha=\"0.07\", expect_size=\"18691072\"] \n  7 -> 8 [size =\"18691072\"]\n  8 [size=\"28815360\", alpha=\"0.03\", expect_size=\"14407680\"] \n  8 -> 9 [size =\"14407680\"]\n  9 [size=\"31201280\", alpha=\"0.06\", expect_size=\"15600640\"] \n  9 -> 10 [size =\"15600640\"]\n  10 [size=\"28964864\", alpha=\"0.02\", expect_size=\"14482432\"] \n  10 -> 11 [size =\"14482432\"]\n  11 [size=\"87394304\", alpha=\"0.19\", expect_size=\"43697152\"] \n  11 -> 12 [size =\"43697152\"]\n  12 [size=\"74098688\", alpha=\"0.19\", expect_size=\"37049344\"] \n  12 -> 13 [size =\"37049344\"]\n  13 [size=\"73244672\", alpha=\"0.17\", expect_size=\"36622336\"] \n  13 -> 14 [size =\"36622336\"]\n  14 [size=\"64602112\", alpha=\"0.18\", expect_size=\"32301056\"] \n  14 -> 15 [size =\"32301056\"]\n  15 [size=\"84674560\", alpha=\"0.18\", expect_size=\"42337280\"] \n  15 -> 16 [size =\"42337280\"]\n  16 [size=\"69634048\", alpha=\"0.15\", expect_size=\"34817024\"] \n  16 -> 17 [size =\"34817024\"]\n  17 [size=\"84039680\", alpha=\"0.05\", expect_size=\"42019840\"] \n  17 -> 18 [size =\"42019840\"]\n  18 [size=\"21133312\", alpha=\"0.01\", expect_size=\"10566656\"] \n  18 -> 19 [size =\"10566656\"]\n  19 [size=\"35887104\", alpha=\"0.16\", expect_size=\"17943552\"] \n  19 -> 20 [size =\"17943552\"]\n  20 [size=\"62347264\", alpha=\"0.07\", expect_size=\"31173632\"] \n  20 -> 21 [size =\"31173632\"]\n  21 [size=\"71131136\", alpha=\"0.03\", expect_size=\"35565568\"] \n  21 -> 22 [size =\"35565568\"]\n  22 [size=\"66041856\", alpha=\"0.02\", expect_size=\"33020928\"] \n  22 -> 23 [size =\"33020928\"]\n  23 [size=\"59977728\", alpha=\"0.02\", expect_size=\"29988864\"] \n  23 -> 24 [size =\"29988864\"]\n  24 [size=\"45932544\", alpha=\"0.01\", expect_size=\"22966272\"] \n  24 -> 25 [size =\"22966272\"]\n  25 [size=\"35590144\", alpha=\"0.19\", expect_size=\"17795072\"] \n  25 -> 26 [size =\"17795072\"]\n  26 [size=\"24516608\", alpha=\"0.16\", expect_size=\"12258304\"] \n  26 -> 27 [size =\"12258304\"]\n  27 [size=\"93030400\", alpha=\"0.18\", expect_size=\"46515200\"] \n  27 -> 28 [size =\"46515200\"]\n  28 [size=\"23171072\", alpha=\"0.05\", expect_size=\"11585536\"] \n  28 -> 29 [size =\"11585536\"]\n  29 [size=\"26988544\", alpha=\"0.16\", expect_size=\"13494272\"] \n  29 -> 30 [size =\"13494272\"]\n  30 [size=\"103553024\", alpha=\"0.11\", expect_size=\"51776512\"] \n  30 -> 31 [size =\"51776512\"]\n  31 [size=\"40828928\", alpha=\"0.02\", expect_size=\"20414464\"] \n  31 -> 32 [size =\"20414464\"]\n  32 [size=\"54792192\", alpha=\"0.07\", expect_size=\"27396096\"] \n  32 -> 33 [size =\"27396096\"]\n  33 [size=\"63567872\", alpha=\"0.05\", expect_size=\"31783936\"] \n  33 -> 34 [size =\"31783936\"]\n  34 [size=\"74303488\", alpha=\"0.14\", expect_size=\"37151744\"] \n  34 -> 35 [size =\"37151744\"]\n  35 [size=\"79091712\", alpha=\"0.19\", expect_size=\"39545856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85565440\", alpha=\"0.18\", expect_size=\"42782720\"] \n  1 -> 28 [size =\"42782720\"]\n  1 -> 31 [size =\"42782720\"]\n  1 -> 34 [size =\"42782720\"]\n  1 -> 35 [size =\"42782720\"]\n  2 [size=\"56137728\", alpha=\"0.19\", expect_size=\"28068864\"] \n  2 -> 28 [size =\"28068864\"]\n  2 -> 31 [size =\"28068864\"]\n  2 -> 32 [size =\"28068864\"]\n  2 -> 35 [size =\"28068864\"]\n  3 [size=\"81246208\", alpha=\"0.19\", expect_size=\"40623104\"] \n  3 -> 25 [size =\"40623104\"]\n  3 -> 28 [size =\"40623104\"]\n  3 -> 35 [size =\"40623104\"]\n  4 [size=\"34271232\", alpha=\"0.19\", expect_size=\"17135616\"] \n  4 -> 25 [size =\"17135616\"]\n  4 -> 29 [size =\"17135616\"]\n  4 -> 34 [size =\"17135616\"]\n  5 [size=\"68040704\", alpha=\"0.18\", expect_size=\"34020352\"] \n  5 -> 33 [size =\"34020352\"]\n  5 -> 34 [size =\"34020352\"]\n  6 [size=\"103438336\", alpha=\"0.07\", expect_size=\"51719168\"] \n  6 -> 27 [size =\"51719168\"]\n  6 -> 34 [size =\"51719168\"]\n  7 [size=\"57653248\", alpha=\"0.15\", expect_size=\"28826624\"] \n  7 -> 29 [size =\"28826624\"]\n  7 -> 32 [size =\"28826624\"]\n  7 -> 34 [size =\"28826624\"]\n  8 [size=\"98949120\", alpha=\"0.18\", expect_size=\"49474560\"] \n  8 -> 30 [size =\"49474560\"]\n  9 [size=\"26730496\", alpha=\"0.14\", expect_size=\"13365248\"] \n  9 -> 31 [size =\"13365248\"]\n  9 -> 35 [size =\"13365248\"]\n  10 [size=\"69435392\", alpha=\"0.08\", expect_size=\"34717696\"] \n  10 -> 27 [size =\"34717696\"]\n  10 -> 32 [size =\"34717696\"]\n  11 [size=\"77979648\", alpha=\"0.14\", expect_size=\"38989824\"] \n  11 -> 27 [size =\"38989824\"]\n  11 -> 28 [size =\"38989824\"]\n  11 -> 29 [size =\"38989824\"]\n  11 -> 34 [size =\"38989824\"]\n  12 [size=\"69038080\", alpha=\"0.13\", expect_size=\"34519040\"] \n  12 -> 31 [size =\"34519040\"]\n  12 -> 32 [size =\"34519040\"]\n  12 -> 34 [size =\"34519040\"]\n  13 [size=\"63002624\", alpha=\"0.09\", expect_size=\"31501312\"] \n  13 -> 35 [size =\"31501312\"]\n  14 [size=\"59705344\", alpha=\"0.03\", expect_size=\"29852672\"] \n  14 -> 31 [size =\"29852672\"]\n  14 -> 34 [size =\"29852672\"]\n  14 -> 35 [size =\"29852672\"]\n  15 [size=\"54740992\", alpha=\"0.18\", expect_size=\"27370496\"] \n  15 -> 27 [size =\"27370496\"]\n  15 -> 28 [size =\"27370496\"]\n  15 -> 34 [size =\"27370496\"]\n  15 -> 35 [size =\"27370496\"]\n  16 [size=\"44873728\", alpha=\"0.08\", expect_size=\"22436864\"] \n  16 -> 32 [size =\"22436864\"]\n  16 -> 33 [size =\"22436864\"]\n  16 -> 34 [size =\"22436864\"]\n  17 [size=\"78383104\", alpha=\"0.07\", expect_size=\"39191552\"] \n  17 -> 27 [size =\"39191552\"]\n  17 -> 31 [size =\"39191552\"]\n  17 -> 34 [size =\"39191552\"]\n  17 -> 35 [size =\"39191552\"]\n  18 [size=\"52631552\", alpha=\"0.20\", expect_size=\"26315776\"] \n  18 -> 30 [size =\"26315776\"]\n  18 -> 31 [size =\"26315776\"]\n  18 -> 33 [size =\"26315776\"]\n  19 [size=\"40933376\", alpha=\"0.14\", expect_size=\"20466688\"] \n  19 -> 25 [size =\"20466688\"]\n  19 -> 26 [size =\"20466688\"]\n  19 -> 27 [size =\"20466688\"]\n  19 -> 31 [size =\"20466688\"]\n  20 [size=\"14546944\", alpha=\"0.02\", expect_size=\"7273472\"] \n  20 -> 29 [size =\"7273472\"]\n  20 -> 32 [size =\"7273472\"]\n  20 -> 33 [size =\"7273472\"]\n  21 [size=\"51384320\", alpha=\"0.05\", expect_size=\"25692160\"] \n  21 -> 25 [size =\"25692160\"]\n  21 -> 31 [size =\"25692160\"]\n  21 -> 33 [size =\"25692160\"]\n  22 [size=\"20803584\", alpha=\"0.18\", expect_size=\"10401792\"] \n  22 -> 25 [size =\"10401792\"]\n  22 -> 28 [size =\"10401792\"]\n  22 -> 31 [size =\"10401792\"]\n  22 -> 35 [size =\"10401792\"]\n  23 [size=\"81301504\", alpha=\"0.06\", expect_size=\"40650752\"] \n  23 -> 25 [size =\"40650752\"]\n  23 -> 28 [size =\"40650752\"]\n  23 -> 30 [size =\"40650752\"]\n  23 -> 34 [size =\"40650752\"]\n  24 [size=\"29003776\", alpha=\"0.19\", expect_size=\"14501888\"] \n  24 -> 25 [size =\"14501888\"]\n  24 -> 27 [size =\"14501888\"]\n  24 -> 28 [size =\"14501888\"]\n  24 -> 31 [size =\"14501888\"]\n  25 [size=\"45066240\", alpha=\"0.04\", expect_size=\"22533120\"] \n  26 [size=\"35510272\", alpha=\"0.09\", expect_size=\"17755136\"] \n  27 [size=\"75059200\", alpha=\"0.04\", expect_size=\"37529600\"] \n  28 [size=\"13391872\", alpha=\"0.17\", expect_size=\"6695936\"] \n  29 [size=\"12888064\", alpha=\"0.14\", expect_size=\"6444032\"] \n  30 [size=\"80652288\", alpha=\"0.04\", expect_size=\"40326144\"] \n  31 [size=\"88682496\", alpha=\"0.08\", expect_size=\"44341248\"] \n  32 [size=\"17686528\", alpha=\"0.04\", expect_size=\"8843264\"] \n  33 [size=\"102062080\", alpha=\"0.11\", expect_size=\"51031040\"] \n  34 [size=\"35084288\", alpha=\"0.09\", expect_size=\"17542144\"] \n  35 [size=\"29280256\", alpha=\"0.16\", expect_size=\"14640128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74280960\", alpha=\"0.07\", expect_size=\"37140480\"] \n  1 -> 2 [size =\"37140480\"]\n  2 [size=\"18782208\", alpha=\"0.18\", expect_size=\"9391104\"] \n  2 -> 3 [size =\"9391104\"]\n  2 -> 4 [size =\"9391104\"]\n  3 [size=\"81127424\", alpha=\"0.06\", expect_size=\"40563712\"] \n  4 [size=\"26089472\", alpha=\"0.14\", expect_size=\"13044736\"] \n  4 -> 5 [size =\"13044736\"]\n  5 [size=\"99098624\", alpha=\"0.08\", expect_size=\"49549312\"] \n  5 -> 6 [size =\"49549312\"]\n  5 -> 7 [size =\"49549312\"]\n  6 [size=\"54427648\", alpha=\"0.08\", expect_size=\"27213824\"] \n  6 -> 8 [size =\"27213824\"]\n  7 [size=\"100182016\", alpha=\"0.08\", expect_size=\"50091008\"] \n  8 [size=\"10735616\", alpha=\"0.11\", expect_size=\"5367808\"] \n  8 -> 9 [size =\"5367808\"]\n  8 -> 10 [size =\"5367808\"]\n  9 [size=\"35303424\", alpha=\"0.09\", expect_size=\"17651712\"] \n  9 -> 12 [size =\"17651712\"]\n  10 [size=\"99563520\", alpha=\"0.20\", expect_size=\"49781760\"] \n  10 -> 11 [size =\"49781760\"]\n  11 [size=\"65165312\", alpha=\"0.12\", expect_size=\"32582656\"] \n  11 -> 13 [size =\"32582656\"]\n  12 [size=\"97062912\", alpha=\"0.14\", expect_size=\"48531456\"] \n  13 [size=\"88512512\", alpha=\"0.16\", expect_size=\"44256256\"] \n  13 -> 14 [size =\"44256256\"]\n  13 -> 15 [size =\"44256256\"]\n  14 [size=\"22136832\", alpha=\"0.16\", expect_size=\"11068416\"] \n  15 [size=\"90368000\", alpha=\"0.04\", expect_size=\"45184000\"] \n  15 -> 16 [size =\"45184000\"]\n  16 [size=\"34736128\", alpha=\"0.20\", expect_size=\"17368064\"] \n  16 -> 17 [size =\"17368064\"]\n  16 -> 18 [size =\"17368064\"]\n  17 [size=\"71053312\", alpha=\"0.07\", expect_size=\"35526656\"] \n  18 [size=\"15544320\", alpha=\"0.06\", expect_size=\"7772160\"] \n  18 -> 19 [size =\"7772160\"]\n  19 [size=\"68315136\", alpha=\"0.15\", expect_size=\"34157568\"] \n  19 -> 20 [size =\"34157568\"]\n  20 [size=\"17836032\", alpha=\"0.17\", expect_size=\"8918016\"] \n  20 -> 21 [size =\"8918016\"]\n  20 -> 22 [size =\"8918016\"]\n  21 [size=\"17805312\", alpha=\"0.12\", expect_size=\"8902656\"] \n  22 [size=\"74881024\", alpha=\"0.09\", expect_size=\"37440512\"] \n  22 -> 23 [size =\"37440512\"]\n  23 [size=\"48082944\", alpha=\"0.01\", expect_size=\"24041472\"] \n  23 -> 24 [size =\"24041472\"]\n  24 [size=\"30214144\", alpha=\"0.16\", expect_size=\"15107072\"] \n  24 -> 25 [size =\"15107072\"]\n  24 -> 26 [size =\"15107072\"]\n  25 [size=\"11776000\", alpha=\"0.11\", expect_size=\"5888000\"] \n  25 -> 27 [size =\"5888000\"]\n  25 -> 28 [size =\"5888000\"]\n  26 [size=\"32733184\", alpha=\"0.14\", expect_size=\"16366592\"] \n  27 [size=\"32559104\", alpha=\"0.17\", expect_size=\"16279552\"] \n  27 -> 30 [size =\"16279552\"]\n  28 [size=\"65357824\", alpha=\"0.19\", expect_size=\"32678912\"] \n  28 -> 29 [size =\"32678912\"]\n  29 [size=\"92465152\", alpha=\"0.07\", expect_size=\"46232576\"] \n  30 [size=\"67672064\", alpha=\"0.14\", expect_size=\"33836032\"] \n  30 -> 31 [size =\"33836032\"]\n  30 -> 32 [size =\"33836032\"]\n  31 [size=\"51484672\", alpha=\"0.12\", expect_size=\"25742336\"] \n  31 -> 33 [size =\"25742336\"]\n  32 [size=\"13328384\", alpha=\"0.08\", expect_size=\"6664192\"] \n  32 -> 34 [size =\"6664192\"]\n  33 [size=\"55871488\", alpha=\"0.02\", expect_size=\"27935744\"] \n  34 [size=\"61011968\", alpha=\"0.17\", expect_size=\"30505984\"] \n  34 -> 35 [size =\"30505984\"]\n  35 [size=\"44353536\", alpha=\"0.10\", expect_size=\"22176768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58568704\", alpha=\"0.03\", expect_size=\"29284352\"] \n  1 -> 26 [size =\"29284352\"]\n  1 -> 27 [size =\"29284352\"]\n  1 -> 30 [size =\"29284352\"]\n  1 -> 31 [size =\"29284352\"]\n  1 -> 34 [size =\"29284352\"]\n  2 [size=\"92698624\", alpha=\"0.02\", expect_size=\"46349312\"] \n  2 -> 26 [size =\"46349312\"]\n  2 -> 27 [size =\"46349312\"]\n  2 -> 29 [size =\"46349312\"]\n  2 -> 31 [size =\"46349312\"]\n  2 -> 34 [size =\"46349312\"]\n  3 [size=\"55488512\", alpha=\"0.10\", expect_size=\"27744256\"] \n  3 -> 27 [size =\"27744256\"]\n  3 -> 31 [size =\"27744256\"]\n  3 -> 34 [size =\"27744256\"]\n  3 -> 35 [size =\"27744256\"]\n  4 [size=\"48793600\", alpha=\"0.03\", expect_size=\"24396800\"] \n  4 -> 28 [size =\"24396800\"]\n  4 -> 29 [size =\"24396800\"]\n  4 -> 34 [size =\"24396800\"]\n  5 [size=\"18419712\", alpha=\"0.03\", expect_size=\"9209856\"] \n  5 -> 28 [size =\"9209856\"]\n  5 -> 29 [size =\"9209856\"]\n  5 -> 33 [size =\"9209856\"]\n  5 -> 34 [size =\"9209856\"]\n  6 [size=\"62543872\", alpha=\"0.10\", expect_size=\"31271936\"] \n  6 -> 26 [size =\"31271936\"]\n  6 -> 34 [size =\"31271936\"]\n  6 -> 35 [size =\"31271936\"]\n  7 [size=\"38895616\", alpha=\"0.01\", expect_size=\"19447808\"] \n  7 -> 26 [size =\"19447808\"]\n  7 -> 28 [size =\"19447808\"]\n  7 -> 29 [size =\"19447808\"]\n  7 -> 30 [size =\"19447808\"]\n  7 -> 31 [size =\"19447808\"]\n  7 -> 35 [size =\"19447808\"]\n  8 [size=\"98850816\", alpha=\"0.06\", expect_size=\"49425408\"] \n  8 -> 26 [size =\"49425408\"]\n  8 -> 27 [size =\"49425408\"]\n  8 -> 28 [size =\"49425408\"]\n  9 [size=\"60399616\", alpha=\"0.12\", expect_size=\"30199808\"] \n  9 -> 29 [size =\"30199808\"]\n  9 -> 30 [size =\"30199808\"]\n  9 -> 32 [size =\"30199808\"]\n  9 -> 33 [size =\"30199808\"]\n  10 [size=\"48384000\", alpha=\"0.04\", expect_size=\"24192000\"] \n  10 -> 26 [size =\"24192000\"]\n  10 -> 27 [size =\"24192000\"]\n  10 -> 28 [size =\"24192000\"]\n  10 -> 29 [size =\"24192000\"]\n  10 -> 31 [size =\"24192000\"]\n  11 [size=\"71737344\", alpha=\"0.06\", expect_size=\"35868672\"] \n  11 -> 29 [size =\"35868672\"]\n  11 -> 35 [size =\"35868672\"]\n  12 [size=\"85602304\", alpha=\"0.14\", expect_size=\"42801152\"] \n  12 -> 26 [size =\"42801152\"]\n  12 -> 27 [size =\"42801152\"]\n  12 -> 28 [size =\"42801152\"]\n  12 -> 31 [size =\"42801152\"]\n  12 -> 34 [size =\"42801152\"]\n  13 [size=\"97185792\", alpha=\"0.17\", expect_size=\"48592896\"] \n  13 -> 26 [size =\"48592896\"]\n  13 -> 27 [size =\"48592896\"]\n  13 -> 28 [size =\"48592896\"]\n  13 -> 29 [size =\"48592896\"]\n  13 -> 30 [size =\"48592896\"]\n  13 -> 31 [size =\"48592896\"]\n  14 [size=\"51013632\", alpha=\"0.04\", expect_size=\"25506816\"] \n  14 -> 26 [size =\"25506816\"]\n  14 -> 28 [size =\"25506816\"]\n  14 -> 29 [size =\"25506816\"]\n  14 -> 29 [size =\"25506816\"]\n  14 -> 31 [size =\"25506816\"]\n  14 -> 34 [size =\"25506816\"]\n  15 [size=\"66471936\", alpha=\"0.15\", expect_size=\"33235968\"] \n  15 -> 26 [size =\"33235968\"]\n  15 -> 29 [size =\"33235968\"]\n  15 -> 29 [size =\"33235968\"]\n  15 -> 31 [size =\"33235968\"]\n  15 -> 34 [size =\"33235968\"]\n  16 [size=\"79009792\", alpha=\"0.01\", expect_size=\"39504896\"] \n  16 -> 26 [size =\"39504896\"]\n  16 -> 31 [size =\"39504896\"]\n  16 -> 32 [size =\"39504896\"]\n  16 -> 33 [size =\"39504896\"]\n  16 -> 34 [size =\"39504896\"]\n  17 [size=\"33280000\", alpha=\"0.14\", expect_size=\"16640000\"] \n  17 -> 26 [size =\"16640000\"]\n  17 -> 29 [size =\"16640000\"]\n  17 -> 33 [size =\"16640000\"]\n  18 [size=\"38344704\", alpha=\"0.06\", expect_size=\"19172352\"] \n  18 -> 26 [size =\"19172352\"]\n  18 -> 27 [size =\"19172352\"]\n  18 -> 28 [size =\"19172352\"]\n  18 -> 31 [size =\"19172352\"]\n  18 -> 34 [size =\"19172352\"]\n  19 [size=\"67713024\", alpha=\"0.16\", expect_size=\"33856512\"] \n  19 -> 26 [size =\"33856512\"]\n  19 -> 34 [size =\"33856512\"]\n  20 [size=\"31047680\", alpha=\"0.13\", expect_size=\"15523840\"] \n  20 -> 26 [size =\"15523840\"]\n  20 -> 28 [size =\"15523840\"]\n  20 -> 31 [size =\"15523840\"]\n  20 -> 33 [size =\"15523840\"]\n  20 -> 34 [size =\"15523840\"]\n  21 [size=\"51650560\", alpha=\"0.00\", expect_size=\"25825280\"] \n  21 -> 28 [size =\"25825280\"]\n  21 -> 34 [size =\"25825280\"]\n  22 [size=\"78854144\", alpha=\"0.05\", expect_size=\"39427072\"] \n  22 -> 27 [size =\"39427072\"]\n  22 -> 29 [size =\"39427072\"]\n  22 -> 34 [size =\"39427072\"]\n  23 [size=\"50726912\", alpha=\"0.19\", expect_size=\"25363456\"] \n  23 -> 29 [size =\"25363456\"]\n  23 -> 34 [size =\"25363456\"]\n  24 [size=\"36632576\", alpha=\"0.01\", expect_size=\"18316288\"] \n  24 -> 26 [size =\"18316288\"]\n  24 -> 27 [size =\"18316288\"]\n  24 -> 35 [size =\"18316288\"]\n  25 [size=\"54222848\", alpha=\"0.05\", expect_size=\"27111424\"] \n  25 -> 26 [size =\"27111424\"]\n  25 -> 28 [size =\"27111424\"]\n  25 -> 34 [size =\"27111424\"]\n  25 -> 35 [size =\"27111424\"]\n  26 [size=\"31635456\", alpha=\"0.00\", expect_size=\"15817728\"] \n  27 [size=\"37527552\", alpha=\"0.01\", expect_size=\"18763776\"] \n  28 [size=\"10831872\", alpha=\"0.01\", expect_size=\"5415936\"] \n  29 [size=\"38756352\", alpha=\"0.11\", expect_size=\"19378176\"] \n  30 [size=\"21383168\", alpha=\"0.10\", expect_size=\"10691584\"] \n  31 [size=\"84094976\", alpha=\"0.01\", expect_size=\"42047488\"] \n  32 [size=\"86228992\", alpha=\"0.08\", expect_size=\"43114496\"] \n  33 [size=\"15628288\", alpha=\"0.14\", expect_size=\"7814144\"] \n  34 [size=\"11671552\", alpha=\"0.08\", expect_size=\"5835776\"] \n  35 [size=\"18294784\", alpha=\"0.14\", expect_size=\"9147392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68354048\", alpha=\"0.19\", expect_size=\"34177024\"] \n  1 -> 2 [size =\"34177024\"]\n  2 [size=\"88412160\", alpha=\"0.06\", expect_size=\"44206080\"] \n  2 -> 3 [size =\"44206080\"]\n  3 [size=\"91207680\", alpha=\"0.09\", expect_size=\"45603840\"] \n  3 -> 4 [size =\"45603840\"]\n  4 [size=\"22087680\", alpha=\"0.09\", expect_size=\"11043840\"] \n  4 -> 5 [size =\"11043840\"]\n  5 [size=\"21776384\", alpha=\"0.02\", expect_size=\"10888192\"] \n  5 -> 6 [size =\"10888192\"]\n  6 [size=\"101072896\", alpha=\"0.08\", expect_size=\"50536448\"] \n  6 -> 7 [size =\"50536448\"]\n  7 [size=\"97402880\", alpha=\"0.09\", expect_size=\"48701440\"] \n  7 -> 8 [size =\"48701440\"]\n  8 [size=\"28741632\", alpha=\"0.17\", expect_size=\"14370816\"] \n  8 -> 9 [size =\"14370816\"]\n  9 [size=\"104251392\", alpha=\"0.08\", expect_size=\"52125696\"] \n  9 -> 10 [size =\"52125696\"]\n  10 [size=\"68843520\", alpha=\"0.02\", expect_size=\"34421760\"] \n  10 -> 11 [size =\"34421760\"]\n  11 [size=\"100581376\", alpha=\"0.13\", expect_size=\"50290688\"] \n  11 -> 12 [size =\"50290688\"]\n  12 [size=\"98078720\", alpha=\"0.14\", expect_size=\"49039360\"] \n  12 -> 13 [size =\"49039360\"]\n  13 [size=\"31381504\", alpha=\"0.01\", expect_size=\"15690752\"] \n  13 -> 14 [size =\"15690752\"]\n  14 [size=\"72290304\", alpha=\"0.09\", expect_size=\"36145152\"] \n  14 -> 15 [size =\"36145152\"]\n  15 [size=\"18409472\", alpha=\"0.18\", expect_size=\"9204736\"] \n  15 -> 16 [size =\"9204736\"]\n  16 [size=\"29693952\", alpha=\"0.16\", expect_size=\"14846976\"] \n  16 -> 17 [size =\"14846976\"]\n  17 [size=\"66041856\", alpha=\"0.08\", expect_size=\"33020928\"] \n  17 -> 18 [size =\"33020928\"]\n  18 [size=\"11837440\", alpha=\"0.19\", expect_size=\"5918720\"] \n  18 -> 19 [size =\"5918720\"]\n  19 [size=\"91023360\", alpha=\"0.10\", expect_size=\"45511680\"] \n  19 -> 20 [size =\"45511680\"]\n  20 [size=\"36472832\", alpha=\"0.13\", expect_size=\"18236416\"] \n  20 -> 21 [size =\"18236416\"]\n  21 [size=\"47718400\", alpha=\"0.09\", expect_size=\"23859200\"] \n  21 -> 22 [size =\"23859200\"]\n  22 [size=\"12660736\", alpha=\"0.00\", expect_size=\"6330368\"] \n  22 -> 23 [size =\"6330368\"]\n  23 [size=\"81063936\", alpha=\"0.09\", expect_size=\"40531968\"] \n  23 -> 24 [size =\"40531968\"]\n  24 [size=\"85743616\", alpha=\"0.01\", expect_size=\"42871808\"] \n  24 -> 25 [size =\"42871808\"]\n  25 [size=\"32903168\", alpha=\"0.15\", expect_size=\"16451584\"] \n  25 -> 26 [size =\"16451584\"]\n  26 [size=\"24295424\", alpha=\"0.08\", expect_size=\"12147712\"] \n  26 -> 27 [size =\"12147712\"]\n  27 [size=\"101758976\", alpha=\"0.19\", expect_size=\"50879488\"] \n  27 -> 28 [size =\"50879488\"]\n  28 [size=\"45950976\", alpha=\"0.15\", expect_size=\"22975488\"] \n  28 -> 29 [size =\"22975488\"]\n  29 [size=\"40429568\", alpha=\"0.10\", expect_size=\"20214784\"] \n  29 -> 30 [size =\"20214784\"]\n  30 [size=\"87597056\", alpha=\"0.18\", expect_size=\"43798528\"] \n  30 -> 31 [size =\"43798528\"]\n  31 [size=\"55199744\", alpha=\"0.04\", expect_size=\"27599872\"] \n  31 -> 32 [size =\"27599872\"]\n  32 [size=\"95479808\", alpha=\"0.10\", expect_size=\"47739904\"] \n  32 -> 33 [size =\"47739904\"]\n  33 [size=\"97619968\", alpha=\"0.19\", expect_size=\"48809984\"] \n  33 -> 34 [size =\"48809984\"]\n  34 [size=\"47972352\", alpha=\"0.02\", expect_size=\"23986176\"] \n  34 -> 35 [size =\"23986176\"]\n  35 [size=\"52510720\", alpha=\"0.07\", expect_size=\"26255360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76150784\", alpha=\"0.14\", expect_size=\"38075392\"] \n  1 -> 6 [size =\"38075392\"]\n  1 -> 7 [size =\"38075392\"]\n  2 [size=\"55009280\", alpha=\"0.04\", expect_size=\"27504640\"] \n  2 -> 5 [size =\"27504640\"]\n  2 -> 8 [size =\"27504640\"]\n  3 [size=\"85280768\", alpha=\"0.10\", expect_size=\"42640384\"] \n  4 [size=\"86757376\", alpha=\"0.12\", expect_size=\"43378688\"] \n  4 -> 7 [size =\"43378688\"]\n  5 [size=\"63168512\", alpha=\"0.02\", expect_size=\"31584256\"] \n  5 -> 10 [size =\"31584256\"]\n  5 -> 11 [size =\"31584256\"]\n  6 [size=\"57344000\", alpha=\"0.01\", expect_size=\"28672000\"] \n  6 -> 11 [size =\"28672000\"]\n  6 -> 12 [size =\"28672000\"]\n  6 -> 13 [size =\"28672000\"]\n  7 [size=\"54030336\", alpha=\"0.12\", expect_size=\"27015168\"] \n  7 -> 9 [size =\"27015168\"]\n  7 -> 10 [size =\"27015168\"]\n  8 [size=\"93456384\", alpha=\"0.18\", expect_size=\"46728192\"] \n  8 -> 13 [size =\"46728192\"]\n  8 -> 14 [size =\"46728192\"]\n  9 [size=\"19662848\", alpha=\"0.09\", expect_size=\"9831424\"] \n  9 -> 15 [size =\"9831424\"]\n  9 -> 17 [size =\"9831424\"]\n  9 -> 19 [size =\"9831424\"]\n  10 [size=\"96546816\", alpha=\"0.16\", expect_size=\"48273408\"] \n  10 -> 16 [size =\"48273408\"]\n  11 [size=\"25196544\", alpha=\"0.13\", expect_size=\"12598272\"] \n  11 -> 16 [size =\"12598272\"]\n  12 [size=\"90177536\", alpha=\"0.20\", expect_size=\"45088768\"] \n  12 -> 16 [size =\"45088768\"]\n  12 -> 18 [size =\"45088768\"]\n  12 -> 19 [size =\"45088768\"]\n  13 [size=\"14817280\", alpha=\"0.10\", expect_size=\"7408640\"] \n  13 -> 15 [size =\"7408640\"]\n  13 -> 18 [size =\"7408640\"]\n  14 [size=\"62210048\", alpha=\"0.04\", expect_size=\"31105024\"] \n  14 -> 15 [size =\"31105024\"]\n  14 -> 17 [size =\"31105024\"]\n  14 -> 18 [size =\"31105024\"]\n  15 [size=\"22671360\", alpha=\"0.13\", expect_size=\"11335680\"] \n  16 [size=\"31268864\", alpha=\"0.09\", expect_size=\"15634432\"] \n  17 [size=\"37439488\", alpha=\"0.02\", expect_size=\"18719744\"] \n  17 -> 20 [size =\"18719744\"]\n  18 [size=\"96256000\", alpha=\"0.09\", expect_size=\"48128000\"] \n  18 -> 20 [size =\"48128000\"]\n  18 -> 21 [size =\"48128000\"]\n  18 -> 22 [size =\"48128000\"]\n  18 -> 23 [size =\"48128000\"]\n  18 -> 24 [size =\"48128000\"]\n  19 [size=\"87349248\", alpha=\"0.15\", expect_size=\"43674624\"] \n  19 -> 22 [size =\"43674624\"]\n  19 -> 23 [size =\"43674624\"]\n  20 [size=\"34658304\", alpha=\"0.08\", expect_size=\"17329152\"] \n  20 -> 26 [size =\"17329152\"]\n  20 -> 28 [size =\"17329152\"]\n  21 [size=\"15966208\", alpha=\"0.16\", expect_size=\"7983104\"] \n  21 -> 26 [size =\"7983104\"]\n  21 -> 27 [size =\"7983104\"]\n  22 [size=\"78426112\", alpha=\"0.12\", expect_size=\"39213056\"] \n  23 [size=\"76163072\", alpha=\"0.05\", expect_size=\"38081536\"] \n  24 [size=\"29935616\", alpha=\"0.14\", expect_size=\"14967808\"] \n  24 -> 25 [size =\"14967808\"]\n  24 -> 28 [size =\"14967808\"]\n  25 [size=\"46663680\", alpha=\"0.14\", expect_size=\"23331840\"] \n  25 -> 31 [size =\"23331840\"]\n  25 -> 32 [size =\"23331840\"]\n  26 [size=\"13023232\", alpha=\"0.04\", expect_size=\"6511616\"] \n  26 -> 29 [size =\"6511616\"]\n  26 -> 30 [size =\"6511616\"]\n  27 [size=\"55062528\", alpha=\"0.03\", expect_size=\"27531264\"] \n  27 -> 29 [size =\"27531264\"]\n  28 [size=\"65789952\", alpha=\"0.20\", expect_size=\"32894976\"] \n  28 -> 30 [size =\"32894976\"]\n  28 -> 31 [size =\"32894976\"]\n  29 [size=\"12769280\", alpha=\"0.19\", expect_size=\"6384640\"] \n  29 -> 34 [size =\"6384640\"]\n  30 [size=\"82479104\", alpha=\"0.15\", expect_size=\"41239552\"] \n  30 -> 33 [size =\"41239552\"]\n  30 -> 35 [size =\"41239552\"]\n  31 [size=\"27031552\", alpha=\"0.16\", expect_size=\"13515776\"] \n  31 -> 35 [size =\"13515776\"]\n  32 [size=\"100835328\", alpha=\"0.12\", expect_size=\"50417664\"] \n  32 -> 34 [size =\"50417664\"]\n  33 [size=\"65300480\", alpha=\"0.10\", expect_size=\"32650240\"] \n  34 [size=\"89593856\", alpha=\"0.19\", expect_size=\"44796928\"] \n  35 [size=\"61247488\", alpha=\"0.11\", expect_size=\"30623744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35709440\", alpha=\"0.11\", expect_size=\"14283776\"] \n  1 -> 5 [size =\"14283776\"]\n  2 [size=\"18398720\", alpha=\"0.17\", expect_size=\"7359488\"] \n  2 -> 5 [size =\"7359488\"]\n  2 -> 7 [size =\"7359488\"]\n  2 -> 8 [size =\"7359488\"]\n  3 [size=\"76828160\", alpha=\"0.07\", expect_size=\"30731264\"] \n  3 -> 5 [size =\"30731264\"]\n  4 [size=\"24481280\", alpha=\"0.13\", expect_size=\"9792512\"] \n  4 -> 6 [size =\"9792512\"]\n  4 -> 8 [size =\"9792512\"]\n  5 [size=\"22064640\", alpha=\"0.17\", expect_size=\"8825856\"] \n  5 -> 10 [size =\"8825856\"]\n  5 -> 11 [size =\"8825856\"]\n  5 -> 12 [size =\"8825856\"]\n  6 [size=\"60715520\", alpha=\"0.04\", expect_size=\"24286208\"] \n  7 [size=\"113093120\", alpha=\"0.19\", expect_size=\"45237248\"] \n  7 -> 11 [size =\"45237248\"]\n  7 -> 12 [size =\"45237248\"]\n  7 -> 13 [size =\"45237248\"]\n  8 [size=\"87769600\", alpha=\"0.00\", expect_size=\"35107840\"] \n  8 -> 9 [size =\"35107840\"]\n  8 -> 11 [size =\"35107840\"]\n  8 -> 12 [size =\"35107840\"]\n  8 -> 13 [size =\"35107840\"]\n  9 [size=\"16460800\", alpha=\"0.07\", expect_size=\"6584320\"] \n  10 [size=\"120048640\", alpha=\"0.04\", expect_size=\"48019456\"] \n  10 -> 14 [size =\"48019456\"]\n  10 -> 15 [size =\"48019456\"]\n  10 -> 16 [size =\"48019456\"]\n  11 [size=\"96115200\", alpha=\"0.04\", expect_size=\"38446080\"] \n  11 -> 15 [size =\"38446080\"]\n  12 [size=\"42088960\", alpha=\"0.02\", expect_size=\"16835584\"] \n  12 -> 14 [size =\"16835584\"]\n  12 -> 17 [size =\"16835584\"]\n  13 [size=\"25958400\", alpha=\"0.00\", expect_size=\"10383360\"] \n  13 -> 14 [size =\"10383360\"]\n  13 -> 15 [size =\"10383360\"]\n  14 [size=\"67302400\", alpha=\"0.12\", expect_size=\"26920960\"] \n  14 -> 18 [size =\"26920960\"]\n  14 -> 20 [size =\"26920960\"]\n  15 [size=\"26321920\", alpha=\"0.19\", expect_size=\"10528768\"] \n  15 -> 19 [size =\"10528768\"]\n  16 [size=\"126958080\", alpha=\"0.09\", expect_size=\"50783232\"] \n  16 -> 19 [size =\"50783232\"]\n  16 -> 21 [size =\"50783232\"]\n  16 -> 22 [size =\"50783232\"]\n  17 [size=\"34319360\", alpha=\"0.04\", expect_size=\"13727744\"] \n  17 -> 19 [size =\"13727744\"]\n  17 -> 22 [size =\"13727744\"]\n  18 [size=\"30246400\", alpha=\"0.10\", expect_size=\"12098560\"] \n  18 -> 24 [size =\"12098560\"]\n  19 [size=\"30581760\", alpha=\"0.10\", expect_size=\"12232704\"] \n  19 -> 26 [size =\"12232704\"]\n  19 -> 27 [size =\"12232704\"]\n  20 [size=\"71828480\", alpha=\"0.05\", expect_size=\"28731392\"] \n  20 -> 26 [size =\"28731392\"]\n  20 -> 27 [size =\"28731392\"]\n  21 [size=\"95772160\", alpha=\"0.04\", expect_size=\"38308864\"] \n  21 -> 23 [size =\"38308864\"]\n  21 -> 25 [size =\"38308864\"]\n  22 [size=\"117598720\", alpha=\"0.04\", expect_size=\"47039488\"] \n  22 -> 23 [size =\"47039488\"]\n  22 -> 24 [size =\"47039488\"]\n  22 -> 25 [size =\"47039488\"]\n  23 [size=\"13724160\", alpha=\"0.15\", expect_size=\"5489664\"] \n  23 -> 29 [size =\"5489664\"]\n  23 -> 30 [size =\"5489664\"]\n  23 -> 32 [size =\"5489664\"]\n  24 [size=\"16578560\", alpha=\"0.07\", expect_size=\"6631424\"] \n  24 -> 31 [size =\"6631424\"]\n  25 [size=\"86080000\", alpha=\"0.01\", expect_size=\"34432000\"] \n  25 -> 28 [size =\"34432000\"]\n  25 -> 32 [size =\"34432000\"]\n  26 [size=\"80064000\", alpha=\"0.04\", expect_size=\"32025600\"] \n  26 -> 29 [size =\"32025600\"]\n  26 -> 30 [size =\"32025600\"]\n  26 -> 32 [size =\"32025600\"]\n  27 [size=\"131000320\", alpha=\"0.03\", expect_size=\"52400128\"] \n  27 -> 28 [size =\"52400128\"]\n  27 -> 29 [size =\"52400128\"]\n  27 -> 30 [size =\"52400128\"]\n  28 [size=\"38535680\", alpha=\"0.14\", expect_size=\"15414272\"] \n  28 -> 34 [size =\"15414272\"]\n  29 [size=\"98368000\", alpha=\"0.07\", expect_size=\"39347200\"] \n  29 -> 33 [size =\"39347200\"]\n  30 [size=\"40962560\", alpha=\"0.17\", expect_size=\"16385024\"] \n  30 -> 33 [size =\"16385024\"]\n  31 [size=\"72570880\", alpha=\"0.02\", expect_size=\"29028352\"] \n  31 -> 35 [size =\"29028352\"]\n  32 [size=\"97835520\", alpha=\"0.11\", expect_size=\"39134208\"] \n  32 -> 34 [size =\"39134208\"]\n  32 -> 35 [size =\"39134208\"]\n  33 [size=\"122042880\", alpha=\"0.03\", expect_size=\"48817152\"] \n  34 [size=\"90959360\", alpha=\"0.04\", expect_size=\"36383744\"] \n  35 [size=\"15953920\", alpha=\"0.07\", expect_size=\"6381568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55538347\", alpha=\"0.20\", expect_size=\"16661504\"] \n  1 -> 2 [size =\"16661504\"]\n  2 [size=\"116708693\", alpha=\"0.03\", expect_size=\"35012608\"] \n  2 -> 3 [size =\"35012608\"]\n  3 [size=\"126634667\", alpha=\"0.08\", expect_size=\"37990400\"] \n  3 -> 4 [size =\"37990400\"]\n  4 [size=\"43202560\", alpha=\"0.04\", expect_size=\"12960768\"] \n  4 -> 5 [size =\"12960768\"]\n  5 [size=\"156009813\", alpha=\"0.04\", expect_size=\"46802944\"] \n  5 -> 6 [size =\"46802944\"]\n  6 [size=\"153006080\", alpha=\"0.13\", expect_size=\"45901824\"] \n  6 -> 7 [size =\"45901824\"]\n  7 [size=\"116008960\", alpha=\"0.13\", expect_size=\"34802688\"] \n  7 -> 8 [size =\"34802688\"]\n  8 [size=\"65856853\", alpha=\"0.06\", expect_size=\"19757056\"] \n  8 -> 9 [size =\"19757056\"]\n  9 [size=\"91136000\", alpha=\"0.17\", expect_size=\"27340800\"] \n  9 -> 10 [size =\"27340800\"]\n  10 [size=\"78209707\", alpha=\"0.05\", expect_size=\"23462912\"] \n  10 -> 11 [size =\"23462912\"]\n  11 [size=\"63825920\", alpha=\"0.16\", expect_size=\"19147776\"] \n  11 -> 12 [size =\"19147776\"]\n  12 [size=\"62044160\", alpha=\"0.14\", expect_size=\"18613248\"] \n  12 -> 13 [size =\"18613248\"]\n  13 [size=\"84995413\", alpha=\"0.08\", expect_size=\"25498624\"] \n  13 -> 14 [size =\"25498624\"]\n  14 [size=\"146377387\", alpha=\"0.04\", expect_size=\"43913216\"] \n  14 -> 15 [size =\"43913216\"]\n  15 [size=\"24207360\", alpha=\"0.12\", expect_size=\"7262208\"] \n  15 -> 16 [size =\"7262208\"]\n  16 [size=\"53422080\", alpha=\"0.05\", expect_size=\"16026624\"] \n  16 -> 17 [size =\"16026624\"]\n  17 [size=\"158412800\", alpha=\"0.01\", expect_size=\"47523840\"] \n  17 -> 18 [size =\"47523840\"]\n  18 [size=\"99546453\", alpha=\"0.02\", expect_size=\"29863936\"] \n  18 -> 19 [size =\"29863936\"]\n  19 [size=\"149964800\", alpha=\"0.19\", expect_size=\"44989440\"] \n  19 -> 20 [size =\"44989440\"]\n  20 [size=\"129003520\", alpha=\"0.06\", expect_size=\"38701056\"] \n  20 -> 21 [size =\"38701056\"]\n  21 [size=\"166338560\", alpha=\"0.17\", expect_size=\"49901568\"] \n  21 -> 22 [size =\"49901568\"]\n  22 [size=\"135314773\", alpha=\"0.02\", expect_size=\"40594432\"] \n  22 -> 23 [size =\"40594432\"]\n  23 [size=\"84343467\", alpha=\"0.20\", expect_size=\"25303040\"] \n  23 -> 24 [size =\"25303040\"]\n  24 [size=\"150978560\", alpha=\"0.01\", expect_size=\"45293568\"] \n  24 -> 25 [size =\"45293568\"]\n  25 [size=\"25357653\", alpha=\"0.20\", expect_size=\"7607296\"] \n  25 -> 26 [size =\"7607296\"]\n  26 [size=\"121497600\", alpha=\"0.16\", expect_size=\"36449280\"] \n  26 -> 27 [size =\"36449280\"]\n  27 [size=\"160808960\", alpha=\"0.05\", expect_size=\"48242688\"] \n  27 -> 28 [size =\"48242688\"]\n  28 [size=\"167628800\", alpha=\"0.20\", expect_size=\"50288640\"] \n  28 -> 29 [size =\"50288640\"]\n  29 [size=\"28241920\", alpha=\"0.04\", expect_size=\"8472576\"] \n  29 -> 30 [size =\"8472576\"]\n  30 [size=\"21288960\", alpha=\"0.16\", expect_size=\"6386688\"] \n  30 -> 31 [size =\"6386688\"]\n  31 [size=\"67249493\", alpha=\"0.14\", expect_size=\"20174848\"] \n  31 -> 32 [size =\"20174848\"]\n  32 [size=\"46899200\", alpha=\"0.17\", expect_size=\"14069760\"] \n  32 -> 33 [size =\"14069760\"]\n  33 [size=\"59477333\", alpha=\"0.09\", expect_size=\"17843200\"] \n  33 -> 34 [size =\"17843200\"]\n  34 [size=\"56855893\", alpha=\"0.18\", expect_size=\"17056768\"] \n  34 -> 35 [size =\"17056768\"]\n  35 [size=\"64764587\", alpha=\"0.07\", expect_size=\"19429376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163293867\", alpha=\"0.12\", expect_size=\"48988160\"] \n  1 -> 25 [size =\"48988160\"]\n  1 -> 25 [size =\"48988160\"]\n  1 -> 29 [size =\"48988160\"]\n  1 -> 32 [size =\"48988160\"]\n  1 -> 34 [size =\"48988160\"]\n  2 [size=\"38434133\", alpha=\"0.10\", expect_size=\"11530240\"] \n  2 -> 25 [size =\"11530240\"]\n  2 -> 29 [size =\"11530240\"]\n  2 -> 32 [size =\"11530240\"]\n  2 -> 32 [size =\"11530240\"]\n  2 -> 34 [size =\"11530240\"]\n  3 [size=\"161430187\", alpha=\"0.02\", expect_size=\"48429056\"] \n  3 -> 30 [size =\"48429056\"]\n  3 -> 32 [size =\"48429056\"]\n  3 -> 32 [size =\"48429056\"]\n  3 -> 34 [size =\"48429056\"]\n  3 -> 35 [size =\"48429056\"]\n  4 [size=\"126668800\", alpha=\"0.11\", expect_size=\"38000640\"] \n  4 -> 25 [size =\"38000640\"]\n  4 -> 29 [size =\"38000640\"]\n  4 -> 31 [size =\"38000640\"]\n  4 -> 32 [size =\"38000640\"]\n  5 [size=\"97447253\", alpha=\"0.01\", expect_size=\"29234176\"] \n  5 -> 25 [size =\"29234176\"]\n  5 -> 26 [size =\"29234176\"]\n  5 -> 29 [size =\"29234176\"]\n  5 -> 30 [size =\"29234176\"]\n  5 -> 31 [size =\"29234176\"]\n  5 -> 32 [size =\"29234176\"]\n  6 [size=\"41905493\", alpha=\"0.06\", expect_size=\"12571648\"] \n  6 -> 25 [size =\"12571648\"]\n  6 -> 28 [size =\"12571648\"]\n  6 -> 29 [size =\"12571648\"]\n  6 -> 31 [size =\"12571648\"]\n  6 -> 34 [size =\"12571648\"]\n  7 [size=\"75212800\", alpha=\"0.13\", expect_size=\"22563840\"] \n  7 -> 24 [size =\"22563840\"]\n  7 -> 29 [size =\"22563840\"]\n  7 -> 31 [size =\"22563840\"]\n  7 -> 32 [size =\"22563840\"]\n  7 -> 34 [size =\"22563840\"]\n  8 [size=\"78742187\", alpha=\"0.03\", expect_size=\"23622656\"] \n  8 -> 31 [size =\"23622656\"]\n  8 -> 32 [size =\"23622656\"]\n  8 -> 33 [size =\"23622656\"]\n  9 [size=\"46994773\", alpha=\"0.07\", expect_size=\"14098432\"] \n  9 -> 32 [size =\"14098432\"]\n  9 -> 32 [size =\"14098432\"]\n  9 -> 33 [size =\"14098432\"]\n  9 -> 34 [size =\"14098432\"]\n  10 [size=\"157252267\", alpha=\"0.16\", expect_size=\"47175680\"] \n  10 -> 26 [size =\"47175680\"]\n  10 -> 29 [size =\"47175680\"]\n  10 -> 30 [size =\"47175680\"]\n  11 [size=\"85988693\", alpha=\"0.19\", expect_size=\"25796608\"] \n  11 -> 25 [size =\"25796608\"]\n  11 -> 26 [size =\"25796608\"]\n  11 -> 29 [size =\"25796608\"]\n  11 -> 30 [size =\"25796608\"]\n  11 -> 33 [size =\"25796608\"]\n  11 -> 34 [size =\"25796608\"]\n  12 [size=\"25125547\", alpha=\"0.05\", expect_size=\"7537664\"] \n  12 -> 29 [size =\"7537664\"]\n  12 -> 30 [size =\"7537664\"]\n  12 -> 31 [size =\"7537664\"]\n  12 -> 32 [size =\"7537664\"]\n  12 -> 33 [size =\"7537664\"]\n  13 [size=\"99949227\", alpha=\"0.01\", expect_size=\"29984768\"] \n  13 -> 25 [size =\"29984768\"]\n  13 -> 27 [size =\"29984768\"]\n  13 -> 29 [size =\"29984768\"]\n  13 -> 30 [size =\"29984768\"]\n  13 -> 32 [size =\"29984768\"]\n  13 -> 33 [size =\"29984768\"]\n  14 [size=\"112216747\", alpha=\"0.02\", expect_size=\"33665024\"] \n  14 -> 25 [size =\"33665024\"]\n  14 -> 28 [size =\"33665024\"]\n  14 -> 29 [size =\"33665024\"]\n  14 -> 30 [size =\"33665024\"]\n  14 -> 32 [size =\"33665024\"]\n  14 -> 34 [size =\"33665024\"]\n  15 [size=\"44281173\", alpha=\"0.07\", expect_size=\"13284352\"] \n  15 -> 25 [size =\"13284352\"]\n  15 -> 29 [size =\"13284352\"]\n  15 -> 31 [size =\"13284352\"]\n  15 -> 32 [size =\"13284352\"]\n  16 [size=\"55954773\", alpha=\"0.13\", expect_size=\"16786432\"] \n  16 -> 26 [size =\"16786432\"]\n  16 -> 28 [size =\"16786432\"]\n  16 -> 31 [size =\"16786432\"]\n  16 -> 33 [size =\"16786432\"]\n  17 [size=\"102652587\", alpha=\"0.05\", expect_size=\"30795776\"] \n  17 -> 25 [size =\"30795776\"]\n  17 -> 30 [size =\"30795776\"]\n  17 -> 31 [size =\"30795776\"]\n  17 -> 33 [size =\"30795776\"]\n  18 [size=\"49319253\", alpha=\"0.13\", expect_size=\"14795776\"] \n  18 -> 26 [size =\"14795776\"]\n  18 -> 33 [size =\"14795776\"]\n  19 [size=\"69468160\", alpha=\"0.15\", expect_size=\"20840448\"] \n  19 -> 26 [size =\"20840448\"]\n  19 -> 30 [size =\"20840448\"]\n  19 -> 31 [size =\"20840448\"]\n  19 -> 32 [size =\"20840448\"]\n  19 -> 33 [size =\"20840448\"]\n  20 [size=\"121606827\", alpha=\"0.20\", expect_size=\"36482048\"] \n  20 -> 25 [size =\"36482048\"]\n  20 -> 26 [size =\"36482048\"]\n  20 -> 27 [size =\"36482048\"]\n  20 -> 31 [size =\"36482048\"]\n  20 -> 32 [size =\"36482048\"]\n  20 -> 33 [size =\"36482048\"]\n  21 [size=\"90470400\", alpha=\"0.04\", expect_size=\"27141120\"] \n  21 -> 24 [size =\"27141120\"]\n  21 -> 29 [size =\"27141120\"]\n  21 -> 32 [size =\"27141120\"]\n  21 -> 33 [size =\"27141120\"]\n  22 [size=\"79319040\", alpha=\"0.10\", expect_size=\"23795712\"] \n  22 -> 24 [size =\"23795712\"]\n  22 -> 25 [size =\"23795712\"]\n  22 -> 30 [size =\"23795712\"]\n  22 -> 32 [size =\"23795712\"]\n  22 -> 33 [size =\"23795712\"]\n  23 [size=\"114954240\", alpha=\"0.15\", expect_size=\"34486272\"] \n  23 -> 24 [size =\"34486272\"]\n  23 -> 25 [size =\"34486272\"]\n  23 -> 27 [size =\"34486272\"]\n  23 -> 28 [size =\"34486272\"]\n  23 -> 30 [size =\"34486272\"]\n  23 -> 32 [size =\"34486272\"]\n  23 -> 33 [size =\"34486272\"]\n  23 -> 34 [size =\"34486272\"]\n  24 [size=\"122443093\", alpha=\"0.13\", expect_size=\"36732928\"] \n  25 [size=\"136284160\", alpha=\"0.02\", expect_size=\"40885248\"] \n  26 [size=\"31307093\", alpha=\"0.14\", expect_size=\"9392128\"] \n  27 [size=\"137082880\", alpha=\"0.13\", expect_size=\"41124864\"] \n  28 [size=\"19476480\", alpha=\"0.00\", expect_size=\"5842944\"] \n  29 [size=\"122897067\", alpha=\"0.11\", expect_size=\"36869120\"] \n  30 [size=\"80305493\", alpha=\"0.20\", expect_size=\"24091648\"] \n  31 [size=\"78888960\", alpha=\"0.17\", expect_size=\"23666688\"] \n  32 [size=\"107178667\", alpha=\"0.15\", expect_size=\"32153600\"] \n  33 [size=\"28849493\", alpha=\"0.04\", expect_size=\"8654848\"] \n  34 [size=\"145141760\", alpha=\"0.05\", expect_size=\"43542528\"] \n  35 [size=\"93395627\", alpha=\"0.09\", expect_size=\"28018688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59957248\", alpha=\"0.02\", expect_size=\"29978624\"] \n  1 -> 6 [size =\"29978624\"]\n  1 -> 8 [size =\"29978624\"]\n  1 -> 10 [size =\"29978624\"]\n  1 -> 11 [size =\"29978624\"]\n  2 [size=\"59148288\", alpha=\"0.03\", expect_size=\"29574144\"] \n  2 -> 6 [size =\"29574144\"]\n  2 -> 7 [size =\"29574144\"]\n  2 -> 8 [size =\"29574144\"]\n  2 -> 11 [size =\"29574144\"]\n  3 [size=\"56612864\", alpha=\"0.09\", expect_size=\"28306432\"] \n  3 -> 7 [size =\"28306432\"]\n  3 -> 8 [size =\"28306432\"]\n  3 -> 11 [size =\"28306432\"]\n  4 [size=\"27504640\", alpha=\"0.02\", expect_size=\"13752320\"] \n  4 -> 9 [size =\"13752320\"]\n  4 -> 10 [size =\"13752320\"]\n  5 [size=\"11192320\", alpha=\"0.11\", expect_size=\"5596160\"] \n  5 -> 6 [size =\"5596160\"]\n  5 -> 8 [size =\"5596160\"]\n  5 -> 9 [size =\"5596160\"]\n  5 -> 11 [size =\"5596160\"]\n  6 [size=\"69603328\", alpha=\"0.12\", expect_size=\"34801664\"] \n  7 [size=\"19980288\", alpha=\"0.00\", expect_size=\"9990144\"] \n  7 -> 13 [size =\"9990144\"]\n  7 -> 14 [size =\"9990144\"]\n  8 [size=\"58439680\", alpha=\"0.14\", expect_size=\"29219840\"] \n  8 -> 14 [size =\"29219840\"]\n  9 [size=\"46270464\", alpha=\"0.09\", expect_size=\"23135232\"] \n  9 -> 13 [size =\"23135232\"]\n  10 [size=\"91432960\", alpha=\"0.09\", expect_size=\"45716480\"] \n  10 -> 12 [size =\"45716480\"]\n  10 -> 13 [size =\"45716480\"]\n  11 [size=\"50157568\", alpha=\"0.09\", expect_size=\"25078784\"] \n  11 -> 12 [size =\"25078784\"]\n  11 -> 13 [size =\"25078784\"]\n  12 [size=\"58941440\", alpha=\"0.06\", expect_size=\"29470720\"] \n  12 -> 15 [size =\"29470720\"]\n  12 -> 19 [size =\"29470720\"]\n  13 [size=\"74690560\", alpha=\"0.19\", expect_size=\"37345280\"] \n  13 -> 15 [size =\"37345280\"]\n  13 -> 16 [size =\"37345280\"]\n  13 -> 17 [size =\"37345280\"]\n  13 -> 18 [size =\"37345280\"]\n  14 [size=\"21057536\", alpha=\"0.14\", expect_size=\"10528768\"] \n  14 -> 16 [size =\"10528768\"]\n  14 -> 17 [size =\"10528768\"]\n  14 -> 18 [size =\"10528768\"]\n  15 [size=\"31778816\", alpha=\"0.17\", expect_size=\"15889408\"] \n  15 -> 22 [size =\"15889408\"]\n  16 [size=\"84453376\", alpha=\"0.14\", expect_size=\"42226688\"] \n  16 -> 22 [size =\"42226688\"]\n  17 [size=\"44500992\", alpha=\"0.13\", expect_size=\"22250496\"] \n  17 -> 21 [size =\"22250496\"]\n  17 -> 22 [size =\"22250496\"]\n  17 -> 23 [size =\"22250496\"]\n  18 [size=\"44920832\", alpha=\"0.03\", expect_size=\"22460416\"] \n  18 -> 20 [size =\"22460416\"]\n  18 -> 21 [size =\"22460416\"]\n  18 -> 23 [size =\"22460416\"]\n  19 [size=\"15607808\", alpha=\"0.13\", expect_size=\"7803904\"] \n  19 -> 20 [size =\"7803904\"]\n  19 -> 23 [size =\"7803904\"]\n  20 [size=\"58439680\", alpha=\"0.15\", expect_size=\"29219840\"] \n  20 -> 25 [size =\"29219840\"]\n  20 -> 26 [size =\"29219840\"]\n  20 -> 28 [size =\"29219840\"]\n  21 [size=\"102811648\", alpha=\"0.07\", expect_size=\"51405824\"] \n  21 -> 26 [size =\"51405824\"]\n  22 [size=\"51554304\", alpha=\"0.10\", expect_size=\"25777152\"] \n  22 -> 24 [size =\"25777152\"]\n  22 -> 28 [size =\"25777152\"]\n  23 [size=\"79450112\", alpha=\"0.02\", expect_size=\"39725056\"] \n  23 -> 27 [size =\"39725056\"]\n  24 [size=\"75161600\", alpha=\"0.18\", expect_size=\"37580800\"] \n  24 -> 29 [size =\"37580800\"]\n  25 [size=\"44531712\", alpha=\"0.14\", expect_size=\"22265856\"] \n  25 -> 29 [size =\"22265856\"]\n  26 [size=\"31080448\", alpha=\"0.03\", expect_size=\"15540224\"] \n  26 -> 30 [size =\"15540224\"]\n  27 [size=\"98539520\", alpha=\"0.14\", expect_size=\"49269760\"] \n  27 -> 29 [size =\"49269760\"]\n  27 -> 30 [size =\"49269760\"]\n  28 [size=\"67350528\", alpha=\"0.15\", expect_size=\"33675264\"] \n  28 -> 29 [size =\"33675264\"]\n  28 -> 31 [size =\"33675264\"]\n  29 [size=\"81891328\", alpha=\"0.03\", expect_size=\"40945664\"] \n  29 -> 32 [size =\"40945664\"]\n  29 -> 33 [size =\"40945664\"]\n  30 [size=\"50716672\", alpha=\"0.08\", expect_size=\"25358336\"] \n  30 -> 34 [size =\"25358336\"]\n  30 -> 35 [size =\"25358336\"]\n  31 [size=\"27920384\", alpha=\"0.02\", expect_size=\"13960192\"] \n  31 -> 32 [size =\"13960192\"]\n  31 -> 33 [size =\"13960192\"]\n  31 -> 35 [size =\"13960192\"]\n  32 [size=\"62976000\", alpha=\"0.07\", expect_size=\"31488000\"] \n  33 [size=\"15804416\", alpha=\"0.04\", expect_size=\"7902208\"] \n  34 [size=\"26904576\", alpha=\"0.05\", expect_size=\"13452288\"] \n  35 [size=\"18923520\", alpha=\"0.09\", expect_size=\"9461760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154030080\", alpha=\"0.11\", expect_size=\"46209024\"] \n  1 -> 3 [size =\"46209024\"]\n  2 [size=\"20572160\", alpha=\"0.04\", expect_size=\"6171648\"] \n  2 -> 3 [size =\"6171648\"]\n  3 [size=\"117422080\", alpha=\"0.02\", expect_size=\"35226624\"] \n  3 -> 4 [size =\"35226624\"]\n  4 [size=\"148462933\", alpha=\"0.10\", expect_size=\"44538880\"] \n  4 -> 5 [size =\"44538880\"]\n  5 [size=\"124378453\", alpha=\"0.05\", expect_size=\"37313536\"] \n  5 -> 6 [size =\"37313536\"]\n  5 -> 7 [size =\"37313536\"]\n  6 [size=\"148459520\", alpha=\"0.08\", expect_size=\"44537856\"] \n  6 -> 8 [size =\"44537856\"]\n  6 -> 9 [size =\"44537856\"]\n  7 [size=\"166171307\", alpha=\"0.01\", expect_size=\"49851392\"] \n  7 -> 8 [size =\"49851392\"]\n  7 -> 9 [size =\"49851392\"]\n  8 [size=\"51558400\", alpha=\"0.12\", expect_size=\"15467520\"] \n  8 -> 10 [size =\"15467520\"]\n  8 -> 11 [size =\"15467520\"]\n  9 [size=\"98129920\", alpha=\"0.05\", expect_size=\"29438976\"] \n  9 -> 10 [size =\"29438976\"]\n  9 -> 11 [size =\"29438976\"]\n  10 [size=\"167164587\", alpha=\"0.00\", expect_size=\"50149376\"] \n  10 -> 12 [size =\"50149376\"]\n  11 [size=\"161802240\", alpha=\"0.07\", expect_size=\"48540672\"] \n  11 -> 12 [size =\"48540672\"]\n  12 [size=\"89125547\", alpha=\"0.04\", expect_size=\"26737664\"] \n  12 -> 13 [size =\"26737664\"]\n  12 -> 14 [size =\"26737664\"]\n  13 [size=\"119463253\", alpha=\"0.18\", expect_size=\"35838976\"] \n  13 -> 15 [size =\"35838976\"]\n  14 [size=\"134454613\", alpha=\"0.15\", expect_size=\"40336384\"] \n  14 -> 15 [size =\"40336384\"]\n  15 [size=\"55944533\", alpha=\"0.03\", expect_size=\"16783360\"] \n  15 -> 16 [size =\"16783360\"]\n  16 [size=\"93709653\", alpha=\"0.03\", expect_size=\"28112896\"] \n  16 -> 17 [size =\"28112896\"]\n  17 [size=\"156180480\", alpha=\"0.09\", expect_size=\"46854144\"] \n  17 -> 18 [size =\"46854144\"]\n  17 -> 19 [size =\"46854144\"]\n  18 [size=\"162420053\", alpha=\"0.16\", expect_size=\"48726016\"] \n  18 -> 20 [size =\"48726016\"]\n  19 [size=\"102516053\", alpha=\"0.06\", expect_size=\"30754816\"] \n  19 -> 20 [size =\"30754816\"]\n  20 [size=\"138359467\", alpha=\"0.10\", expect_size=\"41507840\"] \n  20 -> 21 [size =\"41507840\"]\n  20 -> 22 [size =\"41507840\"]\n  21 [size=\"141489493\", alpha=\"0.11\", expect_size=\"42446848\"] \n  21 -> 23 [size =\"42446848\"]\n  21 -> 24 [size =\"42446848\"]\n  22 [size=\"37386240\", alpha=\"0.12\", expect_size=\"11215872\"] \n  22 -> 23 [size =\"11215872\"]\n  22 -> 24 [size =\"11215872\"]\n  23 [size=\"66556587\", alpha=\"0.06\", expect_size=\"19966976\"] \n  23 -> 25 [size =\"19966976\"]\n  24 [size=\"51425280\", alpha=\"0.16\", expect_size=\"15427584\"] \n  24 -> 25 [size =\"15427584\"]\n  25 [size=\"170690560\", alpha=\"0.01\", expect_size=\"51207168\"] \n  25 -> 26 [size =\"51207168\"]\n  26 [size=\"33440427\", alpha=\"0.02\", expect_size=\"10032128\"] \n  26 -> 27 [size =\"10032128\"]\n  26 -> 28 [size =\"10032128\"]\n  27 [size=\"54121813\", alpha=\"0.01\", expect_size=\"16236544\"] \n  27 -> 29 [size =\"16236544\"]\n  28 [size=\"128788480\", alpha=\"0.05\", expect_size=\"38636544\"] \n  28 -> 29 [size =\"38636544\"]\n  29 [size=\"95692800\", alpha=\"0.20\", expect_size=\"28707840\"] \n  29 -> 30 [size =\"28707840\"]\n  29 -> 31 [size =\"28707840\"]\n  30 [size=\"144902827\", alpha=\"0.13\", expect_size=\"43470848\"] \n  30 -> 32 [size =\"43470848\"]\n  31 [size=\"64365227\", alpha=\"0.05\", expect_size=\"19309568\"] \n  31 -> 32 [size =\"19309568\"]\n  31 -> 33 [size =\"19309568\"]\n  32 [size=\"147920213\", alpha=\"0.06\", expect_size=\"44376064\"] \n  32 -> 35 [size =\"44376064\"]\n  33 [size=\"84094293\", alpha=\"0.20\", expect_size=\"25228288\"] \n  33 -> 34 [size =\"25228288\"]\n  33 -> 35 [size =\"25228288\"]\n  34 [size=\"130116267\", alpha=\"0.08\", expect_size=\"39034880\"] \n  35 [size=\"102403413\", alpha=\"0.02\", expect_size=\"30721024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103219200\", alpha=\"0.19\", expect_size=\"30965760\"] \n  1 -> 15 [size =\"30965760\"]\n  1 -> 18 [size =\"30965760\"]\n  1 -> 20 [size =\"30965760\"]\n  1 -> 21 [size =\"30965760\"]\n  1 -> 22 [size =\"30965760\"]\n  1 -> 23 [size =\"30965760\"]\n  1 -> 24 [size =\"30965760\"]\n  2 [size=\"89883307\", alpha=\"0.15\", expect_size=\"26964992\"] \n  2 -> 14 [size =\"26964992\"]\n  2 -> 15 [size =\"26964992\"]\n  2 -> 19 [size =\"26964992\"]\n  2 -> 22 [size =\"26964992\"]\n  2 -> 22 [size =\"26964992\"]\n  2 -> 23 [size =\"26964992\"]\n  2 -> 24 [size =\"26964992\"]\n  3 [size=\"147237547\", alpha=\"0.03\", expect_size=\"44171264\"] \n  3 -> 13 [size =\"44171264\"]\n  3 -> 14 [size =\"44171264\"]\n  3 -> 15 [size =\"44171264\"]\n  3 -> 18 [size =\"44171264\"]\n  3 -> 22 [size =\"44171264\"]\n  3 -> 23 [size =\"44171264\"]\n  4 [size=\"87173120\", alpha=\"0.09\", expect_size=\"26151936\"] \n  4 -> 13 [size =\"26151936\"]\n  4 -> 15 [size =\"26151936\"]\n  4 -> 16 [size =\"26151936\"]\n  4 -> 17 [size =\"26151936\"]\n  4 -> 19 [size =\"26151936\"]\n  4 -> 22 [size =\"26151936\"]\n  4 -> 23 [size =\"26151936\"]\n  4 -> 24 [size =\"26151936\"]\n  5 [size=\"174131200\", alpha=\"0.05\", expect_size=\"52239360\"] \n  5 -> 17 [size =\"52239360\"]\n  5 -> 18 [size =\"52239360\"]\n  5 -> 23 [size =\"52239360\"]\n  6 [size=\"173441707\", alpha=\"0.06\", expect_size=\"52032512\"] \n  6 -> 14 [size =\"52032512\"]\n  6 -> 16 [size =\"52032512\"]\n  6 -> 23 [size =\"52032512\"]\n  7 [size=\"158388907\", alpha=\"0.12\", expect_size=\"47516672\"] \n  7 -> 14 [size =\"47516672\"]\n  7 -> 15 [size =\"47516672\"]\n  7 -> 16 [size =\"47516672\"]\n  7 -> 19 [size =\"47516672\"]\n  7 -> 22 [size =\"47516672\"]\n  7 -> 23 [size =\"47516672\"]\n  7 -> 24 [size =\"47516672\"]\n  8 [size=\"138837333\", alpha=\"0.19\", expect_size=\"41651200\"] \n  8 -> 15 [size =\"41651200\"]\n  8 -> 19 [size =\"41651200\"]\n  8 -> 22 [size =\"41651200\"]\n  8 -> 23 [size =\"41651200\"]\n  8 -> 24 [size =\"41651200\"]\n  9 [size=\"132454400\", alpha=\"0.15\", expect_size=\"39736320\"] \n  9 -> 15 [size =\"39736320\"]\n  9 -> 16 [size =\"39736320\"]\n  9 -> 17 [size =\"39736320\"]\n  9 -> 19 [size =\"39736320\"]\n  9 -> 22 [size =\"39736320\"]\n  9 -> 23 [size =\"39736320\"]\n  10 [size=\"86879573\", alpha=\"0.06\", expect_size=\"26063872\"] \n  10 -> 15 [size =\"26063872\"]\n  10 -> 17 [size =\"26063872\"]\n  10 -> 18 [size =\"26063872\"]\n  10 -> 20 [size =\"26063872\"]\n  10 -> 22 [size =\"26063872\"]\n  10 -> 24 [size =\"26063872\"]\n  11 [size=\"45875200\", alpha=\"0.10\", expect_size=\"13762560\"] \n  11 -> 22 [size =\"13762560\"]\n  11 -> 24 [size =\"13762560\"]\n  12 [size=\"38625280\", alpha=\"0.15\", expect_size=\"11587584\"] \n  12 -> 15 [size =\"11587584\"]\n  12 -> 18 [size =\"11587584\"]\n  12 -> 20 [size =\"11587584\"]\n  12 -> 22 [size =\"11587584\"]\n  12 -> 23 [size =\"11587584\"]\n  12 -> 24 [size =\"11587584\"]\n  13 [size=\"155525120\", alpha=\"0.17\", expect_size=\"46657536\"] \n  13 -> 29 [size =\"46657536\"]\n  13 -> 34 [size =\"46657536\"]\n  13 -> 35 [size =\"46657536\"]\n  14 [size=\"23394987\", alpha=\"0.15\", expect_size=\"7018496\"] \n  14 -> 26 [size =\"7018496\"]\n  14 -> 28 [size =\"7018496\"]\n  14 -> 29 [size =\"7018496\"]\n  14 -> 32 [size =\"7018496\"]\n  14 -> 34 [size =\"7018496\"]\n  14 -> 35 [size =\"7018496\"]\n  15 [size=\"94416213\", alpha=\"0.08\", expect_size=\"28324864\"] \n  15 -> 26 [size =\"28324864\"]\n  15 -> 27 [size =\"28324864\"]\n  15 -> 29 [size =\"28324864\"]\n  15 -> 31 [size =\"28324864\"]\n  15 -> 34 [size =\"28324864\"]\n  15 -> 35 [size =\"28324864\"]\n  16 [size=\"131140267\", alpha=\"0.13\", expect_size=\"39342080\"] \n  16 -> 33 [size =\"39342080\"]\n  17 [size=\"19906560\", alpha=\"0.01\", expect_size=\"5971968\"] \n  17 -> 25 [size =\"5971968\"]\n  17 -> 28 [size =\"5971968\"]\n  17 -> 29 [size =\"5971968\"]\n  17 -> 34 [size =\"5971968\"]\n  18 [size=\"115322880\", alpha=\"0.01\", expect_size=\"34596864\"] \n  18 -> 29 [size =\"34596864\"]\n  18 -> 35 [size =\"34596864\"]\n  19 [size=\"105157973\", alpha=\"0.19\", expect_size=\"31547392\"] \n  19 -> 25 [size =\"31547392\"]\n  19 -> 27 [size =\"31547392\"]\n  19 -> 29 [size =\"31547392\"]\n  19 -> 31 [size =\"31547392\"]\n  19 -> 32 [size =\"31547392\"]\n  20 [size=\"67307520\", alpha=\"0.08\", expect_size=\"20192256\"] \n  20 -> 27 [size =\"20192256\"]\n  20 -> 28 [size =\"20192256\"]\n  20 -> 29 [size =\"20192256\"]\n  20 -> 30 [size =\"20192256\"]\n  20 -> 34 [size =\"20192256\"]\n  20 -> 35 [size =\"20192256\"]\n  21 [size=\"111834453\", alpha=\"0.09\", expect_size=\"33550336\"] \n  21 -> 28 [size =\"33550336\"]\n  21 -> 29 [size =\"33550336\"]\n  21 -> 29 [size =\"33550336\"]\n  21 -> 30 [size =\"33550336\"]\n  21 -> 34 [size =\"33550336\"]\n  22 [size=\"32938667\", alpha=\"0.19\", expect_size=\"9881600\"] \n  22 -> 26 [size =\"9881600\"]\n  22 -> 27 [size =\"9881600\"]\n  22 -> 28 [size =\"9881600\"]\n  22 -> 29 [size =\"9881600\"]\n  22 -> 32 [size =\"9881600\"]\n  23 [size=\"149664427\", alpha=\"0.06\", expect_size=\"44899328\"] \n  23 -> 26 [size =\"44899328\"]\n  23 -> 28 [size =\"44899328\"]\n  23 -> 30 [size =\"44899328\"]\n  23 -> 33 [size =\"44899328\"]\n  23 -> 34 [size =\"44899328\"]\n  24 [size=\"129914880\", alpha=\"0.01\", expect_size=\"38974464\"] \n  24 -> 26 [size =\"38974464\"]\n  24 -> 34 [size =\"38974464\"]\n  25 [size=\"90637653\", alpha=\"0.17\", expect_size=\"27191296\"] \n  26 [size=\"155252053\", alpha=\"0.12\", expect_size=\"46575616\"] \n  27 [size=\"104110080\", alpha=\"0.05\", expect_size=\"31233024\"] \n  28 [size=\"111653547\", alpha=\"0.14\", expect_size=\"33496064\"] \n  29 [size=\"118917120\", alpha=\"0.17\", expect_size=\"35675136\"] \n  30 [size=\"107233280\", alpha=\"0.09\", expect_size=\"32169984\"] \n  31 [size=\"173943467\", alpha=\"0.04\", expect_size=\"52183040\"] \n  32 [size=\"90221227\", alpha=\"0.03\", expect_size=\"27066368\"] \n  33 [size=\"85753173\", alpha=\"0.19\", expect_size=\"25725952\"] \n  34 [size=\"133021013\", alpha=\"0.15\", expect_size=\"39906304\"] \n  35 [size=\"144435200\", alpha=\"0.02\", expect_size=\"43330560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82071040\", alpha=\"0.14\", expect_size=\"32828416\"] \n  1 -> 15 [size =\"32828416\"]\n  1 -> 16 [size =\"32828416\"]\n  1 -> 20 [size =\"32828416\"]\n  2 [size=\"52625920\", alpha=\"0.10\", expect_size=\"21050368\"] \n  2 -> 15 [size =\"21050368\"]\n  2 -> 19 [size =\"21050368\"]\n  2 -> 20 [size =\"21050368\"]\n  2 -> 22 [size =\"21050368\"]\n  3 [size=\"90081280\", alpha=\"0.15\", expect_size=\"36032512\"] \n  3 -> 13 [size =\"36032512\"]\n  3 -> 15 [size =\"36032512\"]\n  3 -> 22 [size =\"36032512\"]\n  4 [size=\"69800960\", alpha=\"0.08\", expect_size=\"27920384\"] \n  4 -> 13 [size =\"27920384\"]\n  4 -> 14 [size =\"27920384\"]\n  4 -> 15 [size =\"27920384\"]\n  4 -> 17 [size =\"27920384\"]\n  4 -> 20 [size =\"27920384\"]\n  5 [size=\"75025920\", alpha=\"0.08\", expect_size=\"30010368\"] \n  5 -> 12 [size =\"30010368\"]\n  5 -> 13 [size =\"30010368\"]\n  5 -> 15 [size =\"30010368\"]\n  5 -> 19 [size =\"30010368\"]\n  5 -> 20 [size =\"30010368\"]\n  5 -> 21 [size =\"30010368\"]\n  6 [size=\"23577600\", alpha=\"0.10\", expect_size=\"9431040\"] \n  6 -> 13 [size =\"9431040\"]\n  6 -> 14 [size =\"9431040\"]\n  6 -> 15 [size =\"9431040\"]\n  6 -> 18 [size =\"9431040\"]\n  6 -> 19 [size =\"9431040\"]\n  6 -> 20 [size =\"9431040\"]\n  6 -> 21 [size =\"9431040\"]\n  6 -> 22 [size =\"9431040\"]\n  7 [size=\"46103040\", alpha=\"0.15\", expect_size=\"18441216\"] \n  7 -> 18 [size =\"18441216\"]\n  7 -> 20 [size =\"18441216\"]\n  7 -> 21 [size =\"18441216\"]\n  8 [size=\"67095040\", alpha=\"0.13\", expect_size=\"26838016\"] \n  8 -> 16 [size =\"26838016\"]\n  8 -> 18 [size =\"26838016\"]\n  8 -> 20 [size =\"26838016\"]\n  8 -> 22 [size =\"26838016\"]\n  9 [size=\"79790080\", alpha=\"0.04\", expect_size=\"31916032\"] \n  9 -> 14 [size =\"31916032\"]\n  9 -> 15 [size =\"31916032\"]\n  9 -> 19 [size =\"31916032\"]\n  10 [size=\"119360000\", alpha=\"0.01\", expect_size=\"47744000\"] \n  11 [size=\"82227200\", alpha=\"0.08\", expect_size=\"32890880\"] \n  11 -> 15 [size =\"32890880\"]\n  11 -> 16 [size =\"32890880\"]\n  11 -> 18 [size =\"32890880\"]\n  11 -> 19 [size =\"32890880\"]\n  11 -> 22 [size =\"32890880\"]\n  12 [size=\"44756480\", alpha=\"0.16\", expect_size=\"17902592\"] \n  12 -> 24 [size =\"17902592\"]\n  12 -> 26 [size =\"17902592\"]\n  12 -> 30 [size =\"17902592\"]\n  13 [size=\"103086080\", alpha=\"0.05\", expect_size=\"41234432\"] \n  13 -> 26 [size =\"41234432\"]\n  13 -> 26 [size =\"41234432\"]\n  13 -> 31 [size =\"41234432\"]\n  14 [size=\"73139200\", alpha=\"0.14\", expect_size=\"29255680\"] \n  14 -> 25 [size =\"29255680\"]\n  14 -> 31 [size =\"29255680\"]\n  15 [size=\"122219520\", alpha=\"0.09\", expect_size=\"48887808\"] \n  15 -> 24 [size =\"48887808\"]\n  15 -> 25 [size =\"48887808\"]\n  15 -> 29 [size =\"48887808\"]\n  15 -> 31 [size =\"48887808\"]\n  16 [size=\"49016320\", alpha=\"0.08\", expect_size=\"19606528\"] \n  16 -> 24 [size =\"19606528\"]\n  16 -> 25 [size =\"19606528\"]\n  16 -> 26 [size =\"19606528\"]\n  16 -> 28 [size =\"19606528\"]\n  17 [size=\"108771840\", alpha=\"0.05\", expect_size=\"43508736\"] \n  17 -> 23 [size =\"43508736\"]\n  17 -> 24 [size =\"43508736\"]\n  17 -> 28 [size =\"43508736\"]\n  17 -> 29 [size =\"43508736\"]\n  18 [size=\"77393920\", alpha=\"0.03\", expect_size=\"30957568\"] \n  18 -> 24 [size =\"30957568\"]\n  18 -> 25 [size =\"30957568\"]\n  18 -> 27 [size =\"30957568\"]\n  18 -> 28 [size =\"30957568\"]\n  18 -> 29 [size =\"30957568\"]\n  19 [size=\"33338880\", alpha=\"0.11\", expect_size=\"13335552\"] \n  19 -> 24 [size =\"13335552\"]\n  19 -> 25 [size =\"13335552\"]\n  19 -> 26 [size =\"13335552\"]\n  19 -> 27 [size =\"13335552\"]\n  19 -> 28 [size =\"13335552\"]\n  19 -> 31 [size =\"13335552\"]\n  19 -> 33 [size =\"13335552\"]\n  20 [size=\"54507520\", alpha=\"0.06\", expect_size=\"21803008\"] \n  20 -> 25 [size =\"21803008\"]\n  20 -> 26 [size =\"21803008\"]\n  20 -> 28 [size =\"21803008\"]\n  20 -> 30 [size =\"21803008\"]\n  20 -> 31 [size =\"21803008\"]\n  21 [size=\"57574400\", alpha=\"0.12\", expect_size=\"23029760\"] \n  21 -> 25 [size =\"23029760\"]\n  21 -> 26 [size =\"23029760\"]\n  21 -> 30 [size =\"23029760\"]\n  21 -> 31 [size =\"23029760\"]\n  21 -> 33 [size =\"23029760\"]\n  21 -> 34 [size =\"23029760\"]\n  22 [size=\"107586560\", alpha=\"0.06\", expect_size=\"43034624\"] \n  22 -> 23 [size =\"43034624\"]\n  22 -> 25 [size =\"43034624\"]\n  22 -> 28 [size =\"43034624\"]\n  22 -> 31 [size =\"43034624\"]\n  22 -> 32 [size =\"43034624\"]\n  23 [size=\"81774080\", alpha=\"0.12\", expect_size=\"32709632\"] \n  24 [size=\"113454080\", alpha=\"0.08\", expect_size=\"45381632\"] \n  25 [size=\"78968320\", alpha=\"0.15\", expect_size=\"31587328\"] \n  26 [size=\"17026560\", alpha=\"0.03\", expect_size=\"6810624\"] \n  27 [size=\"66396160\", alpha=\"0.17\", expect_size=\"26558464\"] \n  28 [size=\"98780160\", alpha=\"0.20\", expect_size=\"39512064\"] \n  29 [size=\"115018240\", alpha=\"0.14\", expect_size=\"46007296\"] \n  30 [size=\"60052480\", alpha=\"0.06\", expect_size=\"24020992\"] \n  31 [size=\"93263360\", alpha=\"0.10\", expect_size=\"37305344\"] \n  32 [size=\"47687680\", alpha=\"0.20\", expect_size=\"19075072\"] \n  32 -> 35 [size =\"19075072\"]\n  33 [size=\"80808960\", alpha=\"0.05\", expect_size=\"32323584\"] \n  34 [size=\"33674240\", alpha=\"0.19\", expect_size=\"13469696\"] \n  35 [size=\"80944640\", alpha=\"0.13\", expect_size=\"32377856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90521600\", alpha=\"0.01\", expect_size=\"36208640\"] \n  1 -> 2 [size =\"36208640\"]\n  2 [size=\"22771200\", alpha=\"0.14\", expect_size=\"9108480\"] \n  2 -> 3 [size =\"9108480\"]\n  3 [size=\"102080000\", alpha=\"0.05\", expect_size=\"40832000\"] \n  3 -> 4 [size =\"40832000\"]\n  4 [size=\"112151040\", alpha=\"0.12\", expect_size=\"44860416\"] \n  4 -> 5 [size =\"44860416\"]\n  5 [size=\"99151360\", alpha=\"0.07\", expect_size=\"39660544\"] \n  5 -> 6 [size =\"39660544\"]\n  6 [size=\"30115840\", alpha=\"0.10\", expect_size=\"12046336\"] \n  6 -> 7 [size =\"12046336\"]\n  7 [size=\"111331840\", alpha=\"0.04\", expect_size=\"44532736\"] \n  7 -> 8 [size =\"44532736\"]\n  8 [size=\"42956800\", alpha=\"0.14\", expect_size=\"17182720\"] \n  8 -> 9 [size =\"17182720\"]\n  9 [size=\"14133760\", alpha=\"0.13\", expect_size=\"5653504\"] \n  9 -> 10 [size =\"5653504\"]\n  10 [size=\"109598720\", alpha=\"0.00\", expect_size=\"43839488\"] \n  10 -> 11 [size =\"43839488\"]\n  11 [size=\"66713600\", alpha=\"0.14\", expect_size=\"26685440\"] \n  11 -> 12 [size =\"26685440\"]\n  12 [size=\"71779840\", alpha=\"0.18\", expect_size=\"28711936\"] \n  12 -> 13 [size =\"28711936\"]\n  13 [size=\"37480960\", alpha=\"0.18\", expect_size=\"14992384\"] \n  13 -> 14 [size =\"14992384\"]\n  14 [size=\"68267520\", alpha=\"0.06\", expect_size=\"27307008\"] \n  14 -> 15 [size =\"27307008\"]\n  15 [size=\"21058560\", alpha=\"0.00\", expect_size=\"8423424\"] \n  15 -> 16 [size =\"8423424\"]\n  16 [size=\"64691200\", alpha=\"0.16\", expect_size=\"25876480\"] \n  16 -> 17 [size =\"25876480\"]\n  17 [size=\"122470400\", alpha=\"0.05\", expect_size=\"48988160\"] \n  17 -> 18 [size =\"48988160\"]\n  18 [size=\"26762240\", alpha=\"0.08\", expect_size=\"10704896\"] \n  18 -> 19 [size =\"10704896\"]\n  19 [size=\"110840320\", alpha=\"0.12\", expect_size=\"44336128\"] \n  19 -> 20 [size =\"44336128\"]\n  20 [size=\"67379200\", alpha=\"0.01\", expect_size=\"26951680\"] \n  20 -> 21 [size =\"26951680\"]\n  21 [size=\"67745280\", alpha=\"0.02\", expect_size=\"27098112\"] \n  21 -> 22 [size =\"27098112\"]\n  22 [size=\"34147840\", alpha=\"0.05\", expect_size=\"13659136\"] \n  22 -> 23 [size =\"13659136\"]\n  23 [size=\"21923840\", alpha=\"0.03\", expect_size=\"8769536\"] \n  23 -> 24 [size =\"8769536\"]\n  24 [size=\"126883840\", alpha=\"0.18\", expect_size=\"50753536\"] \n  24 -> 25 [size =\"50753536\"]\n  25 [size=\"45073920\", alpha=\"0.08\", expect_size=\"18029568\"] \n  25 -> 26 [size =\"18029568\"]\n  26 [size=\"47447040\", alpha=\"0.00\", expect_size=\"18978816\"] \n  26 -> 27 [size =\"18978816\"]\n  27 [size=\"26595840\", alpha=\"0.09\", expect_size=\"10638336\"] \n  27 -> 28 [size =\"10638336\"]\n  28 [size=\"53240320\", alpha=\"0.04\", expect_size=\"21296128\"] \n  28 -> 29 [size =\"21296128\"]\n  29 [size=\"101908480\", alpha=\"0.18\", expect_size=\"40763392\"] \n  29 -> 30 [size =\"40763392\"]\n  30 [size=\"57658880\", alpha=\"0.09\", expect_size=\"23063552\"] \n  30 -> 31 [size =\"23063552\"]\n  31 [size=\"62423040\", alpha=\"0.08\", expect_size=\"24969216\"] \n  31 -> 32 [size =\"24969216\"]\n  32 [size=\"75653120\", alpha=\"0.18\", expect_size=\"30261248\"] \n  32 -> 33 [size =\"30261248\"]\n  33 [size=\"107013120\", alpha=\"0.12\", expect_size=\"42805248\"] \n  33 -> 34 [size =\"42805248\"]\n  34 [size=\"127513600\", alpha=\"0.15\", expect_size=\"51005440\"] \n  34 -> 35 [size =\"51005440\"]\n  35 [size=\"118233600\", alpha=\"0.20\", expect_size=\"47293440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128038400\", alpha=\"0.16\", expect_size=\"51215360\"] \n  1 -> 2 [size =\"51215360\"]\n  2 [size=\"129953280\", alpha=\"0.03\", expect_size=\"51981312\"] \n  2 -> 3 [size =\"51981312\"]\n  3 [size=\"34644480\", alpha=\"0.00\", expect_size=\"13857792\"] \n  3 -> 4 [size =\"13857792\"]\n  4 [size=\"57067520\", alpha=\"0.15\", expect_size=\"22827008\"] \n  4 -> 5 [size =\"22827008\"]\n  5 [size=\"87098880\", alpha=\"0.18\", expect_size=\"34839552\"] \n  5 -> 6 [size =\"34839552\"]\n  6 [size=\"56486400\", alpha=\"0.13\", expect_size=\"22594560\"] \n  6 -> 7 [size =\"22594560\"]\n  7 [size=\"67883520\", alpha=\"0.16\", expect_size=\"27153408\"] \n  7 -> 8 [size =\"27153408\"]\n  8 [size=\"112949760\", alpha=\"0.04\", expect_size=\"45179904\"] \n  8 -> 9 [size =\"45179904\"]\n  9 [size=\"106373120\", alpha=\"0.07\", expect_size=\"42549248\"] \n  9 -> 10 [size =\"42549248\"]\n  10 [size=\"13775360\", alpha=\"0.11\", expect_size=\"5510144\"] \n  10 -> 11 [size =\"5510144\"]\n  11 [size=\"94310400\", alpha=\"0.01\", expect_size=\"37724160\"] \n  11 -> 12 [size =\"37724160\"]\n  12 [size=\"72058880\", alpha=\"0.02\", expect_size=\"28823552\"] \n  12 -> 13 [size =\"28823552\"]\n  13 [size=\"89387520\", alpha=\"0.06\", expect_size=\"35755008\"] \n  13 -> 14 [size =\"35755008\"]\n  14 [size=\"89477120\", alpha=\"0.18\", expect_size=\"35790848\"] \n  14 -> 15 [size =\"35790848\"]\n  15 [size=\"60920320\", alpha=\"0.16\", expect_size=\"24368128\"] \n  15 -> 16 [size =\"24368128\"]\n  16 [size=\"50649600\", alpha=\"0.19\", expect_size=\"20259840\"] \n  16 -> 17 [size =\"20259840\"]\n  17 [size=\"126044160\", alpha=\"0.09\", expect_size=\"50417664\"] \n  17 -> 18 [size =\"50417664\"]\n  18 [size=\"101744640\", alpha=\"0.02\", expect_size=\"40697856\"] \n  18 -> 19 [size =\"40697856\"]\n  19 [size=\"125893120\", alpha=\"0.19\", expect_size=\"50357248\"] \n  19 -> 20 [size =\"50357248\"]\n  20 [size=\"49185280\", alpha=\"0.19\", expect_size=\"19674112\"] \n  20 -> 21 [size =\"19674112\"]\n  21 [size=\"114176000\", alpha=\"0.18\", expect_size=\"45670400\"] \n  21 -> 22 [size =\"45670400\"]\n  22 [size=\"117964800\", alpha=\"0.17\", expect_size=\"47185920\"] \n  22 -> 23 [size =\"47185920\"]\n  23 [size=\"128691200\", alpha=\"0.20\", expect_size=\"51476480\"] \n  23 -> 24 [size =\"51476480\"]\n  24 [size=\"44090880\", alpha=\"0.10\", expect_size=\"17636352\"] \n  24 -> 25 [size =\"17636352\"]\n  25 [size=\"29719040\", alpha=\"0.12\", expect_size=\"11887616\"] \n  25 -> 26 [size =\"11887616\"]\n  26 [size=\"123543040\", alpha=\"0.02\", expect_size=\"49417216\"] \n  26 -> 27 [size =\"49417216\"]\n  27 [size=\"116823040\", alpha=\"0.02\", expect_size=\"46729216\"] \n  27 -> 28 [size =\"46729216\"]\n  28 [size=\"49392640\", alpha=\"0.18\", expect_size=\"19757056\"] \n  28 -> 29 [size =\"19757056\"]\n  29 [size=\"62737920\", alpha=\"0.10\", expect_size=\"25095168\"] \n  29 -> 30 [size =\"25095168\"]\n  30 [size=\"56478720\", alpha=\"0.02\", expect_size=\"22591488\"] \n  30 -> 31 [size =\"22591488\"]\n  31 [size=\"48650240\", alpha=\"0.08\", expect_size=\"19460096\"] \n  31 -> 32 [size =\"19460096\"]\n  32 [size=\"36216320\", alpha=\"0.04\", expect_size=\"14486528\"] \n  32 -> 33 [size =\"14486528\"]\n  33 [size=\"18060800\", alpha=\"0.13\", expect_size=\"7224320\"] \n  33 -> 34 [size =\"7224320\"]\n  34 [size=\"15720960\", alpha=\"0.15\", expect_size=\"6288384\"] \n  34 -> 35 [size =\"6288384\"]\n  35 [size=\"73159680\", alpha=\"0.05\", expect_size=\"29263872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111009280\", alpha=\"0.02\", expect_size=\"44403712\"] \n  2 [size=\"35438080\", alpha=\"0.17\", expect_size=\"14175232\"] \n  3 [size=\"25592320\", alpha=\"0.10\", expect_size=\"10236928\"] \n  4 [size=\"37908480\", alpha=\"0.13\", expect_size=\"15163392\"] \n  5 [size=\"106595840\", alpha=\"0.14\", expect_size=\"42638336\"] \n  6 [size=\"85806080\", alpha=\"0.01\", expect_size=\"34322432\"] \n  7 [size=\"20444160\", alpha=\"0.07\", expect_size=\"8177664\"] \n  8 [size=\"72066560\", alpha=\"0.12\", expect_size=\"28826624\"] \n  9 [size=\"111925760\", alpha=\"0.06\", expect_size=\"44770304\"] \n  10 [size=\"86932480\", alpha=\"0.18\", expect_size=\"34772992\"] \n  11 [size=\"85401600\", alpha=\"0.01\", expect_size=\"34160640\"] \n  12 [size=\"98076160\", alpha=\"0.15\", expect_size=\"39230464\"] \n  13 [size=\"80430080\", alpha=\"0.19\", expect_size=\"32172032\"] \n  14 [size=\"22016000\", alpha=\"0.08\", expect_size=\"8806400\"] \n  15 [size=\"99496960\", alpha=\"0.06\", expect_size=\"39798784\"] \n  16 [size=\"61422080\", alpha=\"0.13\", expect_size=\"24568832\"] \n  17 [size=\"66501120\", alpha=\"0.01\", expect_size=\"26600448\"] \n  18 [size=\"106273280\", alpha=\"0.13\", expect_size=\"42509312\"] \n  19 [size=\"61186560\", alpha=\"0.15\", expect_size=\"24474624\"] \n  20 [size=\"97379840\", alpha=\"0.11\", expect_size=\"38951936\"] \n  21 [size=\"83688960\", alpha=\"0.03\", expect_size=\"33475584\"] \n  22 [size=\"89280000\", alpha=\"0.19\", expect_size=\"35712000\"] \n  23 [size=\"62318080\", alpha=\"0.17\", expect_size=\"24927232\"] \n  24 [size=\"57937920\", alpha=\"0.20\", expect_size=\"23175168\"] \n  25 [size=\"107834880\", alpha=\"0.18\", expect_size=\"43133952\"] \n  26 [size=\"26833920\", alpha=\"0.08\", expect_size=\"10733568\"] \n  27 [size=\"105623040\", alpha=\"0.00\", expect_size=\"42249216\"] \n  28 [size=\"111247360\", alpha=\"0.02\", expect_size=\"44498944\"] \n  29 [size=\"67906560\", alpha=\"0.00\", expect_size=\"27162624\"] \n  30 [size=\"39214080\", alpha=\"0.11\", expect_size=\"15685632\"] \n  31 [size=\"102796800\", alpha=\"0.15\", expect_size=\"41118720\"] \n  32 [size=\"120629760\", alpha=\"0.12\", expect_size=\"48251904\"] \n  33 [size=\"115046400\", alpha=\"0.01\", expect_size=\"46018560\"] \n  34 [size=\"98529280\", alpha=\"0.12\", expect_size=\"39411712\"] \n  35 [size=\"95884800\", alpha=\"0.17\", expect_size=\"38353920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100287147\", alpha=\"0.01\", expect_size=\"30086144\"] \n  1 -> 2 [size =\"30086144\"]\n  2 [size=\"66430293\", alpha=\"0.11\", expect_size=\"19929088\"] \n  2 -> 3 [size =\"19929088\"]\n  2 -> 4 [size =\"19929088\"]\n  3 [size=\"145029120\", alpha=\"0.03\", expect_size=\"43508736\"] \n  3 -> 5 [size =\"43508736\"]\n  3 -> 6 [size =\"43508736\"]\n  4 [size=\"94248960\", alpha=\"0.09\", expect_size=\"28274688\"] \n  5 [size=\"107393707\", alpha=\"0.06\", expect_size=\"32218112\"] \n  5 -> 7 [size =\"32218112\"]\n  6 [size=\"112274773\", alpha=\"0.02\", expect_size=\"33682432\"] \n  7 [size=\"131037867\", alpha=\"0.17\", expect_size=\"39311360\"] \n  7 -> 8 [size =\"39311360\"]\n  8 [size=\"45602133\", alpha=\"0.04\", expect_size=\"13680640\"] \n  8 -> 9 [size =\"13680640\"]\n  9 [size=\"54753280\", alpha=\"0.08\", expect_size=\"16425984\"] \n  9 -> 10 [size =\"16425984\"]\n  9 -> 11 [size =\"16425984\"]\n  10 [size=\"146128213\", alpha=\"0.13\", expect_size=\"43838464\"] \n  11 [size=\"31184213\", alpha=\"0.01\", expect_size=\"9355264\"] \n  11 -> 12 [size =\"9355264\"]\n  11 -> 13 [size =\"9355264\"]\n  12 [size=\"42134187\", alpha=\"0.02\", expect_size=\"12640256\"] \n  13 [size=\"131751253\", alpha=\"0.03\", expect_size=\"39525376\"] \n  13 -> 14 [size =\"39525376\"]\n  14 [size=\"156030293\", alpha=\"0.08\", expect_size=\"46809088\"] \n  14 -> 15 [size =\"46809088\"]\n  15 [size=\"73181867\", alpha=\"0.10\", expect_size=\"21954560\"] \n  15 -> 16 [size =\"21954560\"]\n  15 -> 17 [size =\"21954560\"]\n  16 [size=\"117971627\", alpha=\"0.16\", expect_size=\"35391488\"] \n  16 -> 18 [size =\"35391488\"]\n  17 [size=\"131485013\", alpha=\"0.18\", expect_size=\"39445504\"] \n  18 [size=\"110752427\", alpha=\"0.17\", expect_size=\"33225728\"] \n  18 -> 19 [size =\"33225728\"]\n  18 -> 20 [size =\"33225728\"]\n  19 [size=\"144172373\", alpha=\"0.04\", expect_size=\"43251712\"] \n  19 -> 21 [size =\"43251712\"]\n  19 -> 22 [size =\"43251712\"]\n  20 [size=\"53592747\", alpha=\"0.12\", expect_size=\"16077824\"] \n  21 [size=\"159402667\", alpha=\"0.10\", expect_size=\"47820800\"] \n  21 -> 23 [size =\"47820800\"]\n  22 [size=\"169605120\", alpha=\"0.14\", expect_size=\"50881536\"] \n  23 [size=\"25576107\", alpha=\"0.15\", expect_size=\"7672832\"] \n  23 -> 24 [size =\"7672832\"]\n  23 -> 25 [size =\"7672832\"]\n  24 [size=\"49070080\", alpha=\"0.05\", expect_size=\"14721024\"] \n  24 -> 26 [size =\"14721024\"]\n  25 [size=\"111779840\", alpha=\"0.06\", expect_size=\"33533952\"] \n  26 [size=\"30562987\", alpha=\"0.00\", expect_size=\"9168896\"] \n  26 -> 27 [size =\"9168896\"]\n  27 [size=\"152879787\", alpha=\"0.08\", expect_size=\"45863936\"] \n  27 -> 28 [size =\"45863936\"]\n  28 [size=\"133761707\", alpha=\"0.20\", expect_size=\"40128512\"] \n  28 -> 29 [size =\"40128512\"]\n  29 [size=\"109612373\", alpha=\"0.16\", expect_size=\"32883712\"] \n  29 -> 30 [size =\"32883712\"]\n  29 -> 31 [size =\"32883712\"]\n  30 [size=\"144397653\", alpha=\"0.09\", expect_size=\"43319296\"] \n  31 [size=\"80660480\", alpha=\"0.04\", expect_size=\"24198144\"] \n  31 -> 32 [size =\"24198144\"]\n  31 -> 33 [size =\"24198144\"]\n  32 [size=\"158504960\", alpha=\"0.01\", expect_size=\"47551488\"] \n  32 -> 34 [size =\"47551488\"]\n  33 [size=\"112312320\", alpha=\"0.14\", expect_size=\"33693696\"] \n  34 [size=\"69638827\", alpha=\"0.04\", expect_size=\"20891648\"] \n  34 -> 35 [size =\"20891648\"]\n  35 [size=\"107257173\", alpha=\"0.00\", expect_size=\"32177152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49384960\", alpha=\"0.05\", expect_size=\"19753984\"] \n  1 -> 6 [size =\"19753984\"]\n  1 -> 8 [size =\"19753984\"]\n  1 -> 9 [size =\"19753984\"]\n  2 [size=\"47339520\", alpha=\"0.18\", expect_size=\"18935808\"] \n  2 -> 6 [size =\"18935808\"]\n  2 -> 7 [size =\"18935808\"]\n  2 -> 9 [size =\"18935808\"]\n  3 [size=\"117048320\", alpha=\"0.10\", expect_size=\"46819328\"] \n  3 -> 6 [size =\"46819328\"]\n  4 [size=\"118364160\", alpha=\"0.08\", expect_size=\"47345664\"] \n  4 -> 5 [size =\"47345664\"]\n  4 -> 8 [size =\"47345664\"]\n  4 -> 9 [size =\"47345664\"]\n  5 [size=\"17300480\", alpha=\"0.18\", expect_size=\"6920192\"] \n  5 -> 12 [size =\"6920192\"]\n  6 [size=\"112256000\", alpha=\"0.06\", expect_size=\"44902400\"] \n  6 -> 10 [size =\"44902400\"]\n  6 -> 11 [size =\"44902400\"]\n  7 [size=\"20154880\", alpha=\"0.17\", expect_size=\"8061952\"] \n  7 -> 11 [size =\"8061952\"]\n  8 [size=\"122711040\", alpha=\"0.01\", expect_size=\"49084416\"] \n  8 -> 11 [size =\"49084416\"]\n  8 -> 13 [size =\"49084416\"]\n  9 [size=\"82583040\", alpha=\"0.06\", expect_size=\"33033216\"] \n  9 -> 10 [size =\"33033216\"]\n  10 [size=\"30891520\", alpha=\"0.07\", expect_size=\"12356608\"] \n  10 -> 14 [size =\"12356608\"]\n  11 [size=\"113597440\", alpha=\"0.01\", expect_size=\"45438976\"] \n  11 -> 16 [size =\"45438976\"]\n  11 -> 17 [size =\"45438976\"]\n  12 [size=\"23393280\", alpha=\"0.10\", expect_size=\"9357312\"] \n  12 -> 14 [size =\"9357312\"]\n  12 -> 16 [size =\"9357312\"]\n  12 -> 17 [size =\"9357312\"]\n  13 [size=\"129948160\", alpha=\"0.12\", expect_size=\"51979264\"] \n  13 -> 14 [size =\"51979264\"]\n  13 -> 15 [size =\"51979264\"]\n  13 -> 17 [size =\"51979264\"]\n  14 [size=\"69547520\", alpha=\"0.11\", expect_size=\"27819008\"] \n  14 -> 19 [size =\"27819008\"]\n  15 [size=\"116244480\", alpha=\"0.00\", expect_size=\"46497792\"] \n  15 -> 18 [size =\"46497792\"]\n  15 -> 22 [size =\"46497792\"]\n  16 [size=\"106472960\", alpha=\"0.02\", expect_size=\"42589184\"] \n  16 -> 18 [size =\"42589184\"]\n  16 -> 19 [size =\"42589184\"]\n  16 -> 20 [size =\"42589184\"]\n  16 -> 21 [size =\"42589184\"]\n  17 [size=\"25085440\", alpha=\"0.16\", expect_size=\"10034176\"] \n  17 -> 18 [size =\"10034176\"]\n  17 -> 19 [size =\"10034176\"]\n  18 [size=\"122644480\", alpha=\"0.19\", expect_size=\"49057792\"] \n  18 -> 26 [size =\"49057792\"]\n  18 -> 27 [size =\"49057792\"]\n  19 [size=\"126602240\", alpha=\"0.07\", expect_size=\"50640896\"] \n  20 [size=\"42193920\", alpha=\"0.08\", expect_size=\"16877568\"] \n  20 -> 25 [size =\"16877568\"]\n  20 -> 26 [size =\"16877568\"]\n  20 -> 27 [size =\"16877568\"]\n  21 [size=\"84748800\", alpha=\"0.16\", expect_size=\"33899520\"] \n  21 -> 26 [size =\"33899520\"]\n  21 -> 27 [size =\"33899520\"]\n  22 [size=\"89410560\", alpha=\"0.09\", expect_size=\"35764224\"] \n  22 -> 23 [size =\"35764224\"]\n  22 -> 24 [size =\"35764224\"]\n  22 -> 26 [size =\"35764224\"]\n  23 [size=\"30945280\", alpha=\"0.00\", expect_size=\"12378112\"] \n  23 -> 28 [size =\"12378112\"]\n  24 [size=\"102607360\", alpha=\"0.09\", expect_size=\"41042944\"] \n  24 -> 29 [size =\"41042944\"]\n  25 [size=\"48924160\", alpha=\"0.19\", expect_size=\"19569664\"] \n  25 -> 28 [size =\"19569664\"]\n  26 [size=\"48947200\", alpha=\"0.05\", expect_size=\"19578880\"] \n  27 [size=\"59425280\", alpha=\"0.13\", expect_size=\"23770112\"] \n  27 -> 28 [size =\"23770112\"]\n  27 -> 29 [size =\"23770112\"]\n  27 -> 30 [size =\"23770112\"]\n  28 [size=\"35919360\", alpha=\"0.19\", expect_size=\"14367744\"] \n  28 -> 31 [size =\"14367744\"]\n  28 -> 33 [size =\"14367744\"]\n  28 -> 34 [size =\"14367744\"]\n  29 [size=\"28103680\", alpha=\"0.17\", expect_size=\"11241472\"] \n  29 -> 32 [size =\"11241472\"]\n  29 -> 34 [size =\"11241472\"]\n  29 -> 34 [size =\"11241472\"]\n  29 -> 35 [size =\"11241472\"]\n  30 [size=\"68088320\", alpha=\"0.18\", expect_size=\"27235328\"] \n  30 -> 31 [size =\"27235328\"]\n  31 [size=\"116938240\", alpha=\"0.16\", expect_size=\"46775296\"] \n  32 [size=\"92968960\", alpha=\"0.16\", expect_size=\"37187584\"] \n  33 [size=\"30412800\", alpha=\"0.16\", expect_size=\"12165120\"] \n  34 [size=\"33208320\", alpha=\"0.05\", expect_size=\"13283328\"] \n  35 [size=\"88655360\", alpha=\"0.12\", expect_size=\"35462144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83650560\", alpha=\"0.02\", expect_size=\"41825280\"] \n  2 [size=\"59561984\", alpha=\"0.17\", expect_size=\"29780992\"] \n  2 -> 3 [size =\"29780992\"]\n  3 [size=\"52461568\", alpha=\"0.05\", expect_size=\"26230784\"] \n  3 -> 4 [size =\"26230784\"]\n  4 [size=\"42342400\", alpha=\"0.07\", expect_size=\"21171200\"] \n  4 -> 5 [size =\"21171200\"]\n  4 -> 6 [size =\"21171200\"]\n  5 [size=\"70664192\", alpha=\"0.15\", expect_size=\"35332096\"] \n  5 -> 7 [size =\"35332096\"]\n  6 [size=\"103698432\", alpha=\"0.08\", expect_size=\"51849216\"] \n  7 [size=\"81952768\", alpha=\"0.15\", expect_size=\"40976384\"] \n  7 -> 8 [size =\"40976384\"]\n  8 [size=\"84267008\", alpha=\"0.13\", expect_size=\"42133504\"] \n  8 -> 9 [size =\"42133504\"]\n  9 [size=\"67862528\", alpha=\"0.17\", expect_size=\"33931264\"] \n  9 -> 10 [size =\"33931264\"]\n  9 -> 11 [size =\"33931264\"]\n  10 [size=\"74100736\", alpha=\"0.19\", expect_size=\"37050368\"] \n  10 -> 12 [size =\"37050368\"]\n  11 [size=\"31653888\", alpha=\"0.18\", expect_size=\"15826944\"] \n  12 [size=\"41582592\", alpha=\"0.09\", expect_size=\"20791296\"] \n  12 -> 13 [size =\"20791296\"]\n  13 [size=\"29046784\", alpha=\"0.10\", expect_size=\"14523392\"] \n  13 -> 14 [size =\"14523392\"]\n  14 [size=\"52107264\", alpha=\"0.20\", expect_size=\"26053632\"] \n  14 -> 15 [size =\"26053632\"]\n  14 -> 16 [size =\"26053632\"]\n  15 [size=\"85657600\", alpha=\"0.05\", expect_size=\"42828800\"] \n  15 -> 17 [size =\"42828800\"]\n  15 -> 18 [size =\"42828800\"]\n  16 [size=\"64288768\", alpha=\"0.16\", expect_size=\"32144384\"] \n  16 -> 17 [size =\"32144384\"]\n  16 -> 18 [size =\"32144384\"]\n  17 [size=\"100810752\", alpha=\"0.06\", expect_size=\"50405376\"] \n  18 [size=\"77295616\", alpha=\"0.04\", expect_size=\"38647808\"] \n  18 -> 19 [size =\"38647808\"]\n  19 [size=\"46260224\", alpha=\"0.16\", expect_size=\"23130112\"] \n  19 -> 20 [size =\"23130112\"]\n  20 [size=\"32202752\", alpha=\"0.05\", expect_size=\"16101376\"] \n  20 -> 21 [size =\"16101376\"]\n  21 [size=\"25942016\", alpha=\"0.10\", expect_size=\"12971008\"] \n  21 -> 22 [size =\"12971008\"]\n  22 [size=\"17750016\", alpha=\"0.04\", expect_size=\"8875008\"] \n  22 -> 23 [size =\"8875008\"]\n  22 -> 24 [size =\"8875008\"]\n  23 [size=\"62181376\", alpha=\"0.08\", expect_size=\"31090688\"] \n  23 -> 25 [size =\"31090688\"]\n  24 [size=\"16437248\", alpha=\"0.18\", expect_size=\"8218624\"] \n  24 -> 26 [size =\"8218624\"]\n  25 [size=\"15560704\", alpha=\"0.01\", expect_size=\"7780352\"] \n  25 -> 27 [size =\"7780352\"]\n  25 -> 28 [size =\"7780352\"]\n  26 [size=\"39997440\", alpha=\"0.04\", expect_size=\"19998720\"] \n  27 [size=\"19560448\", alpha=\"0.02\", expect_size=\"9780224\"] \n  28 [size=\"49520640\", alpha=\"0.16\", expect_size=\"24760320\"] \n  28 -> 29 [size =\"24760320\"]\n  29 [size=\"68976640\", alpha=\"0.02\", expect_size=\"34488320\"] \n  29 -> 30 [size =\"34488320\"]\n  30 [size=\"51867648\", alpha=\"0.01\", expect_size=\"25933824\"] \n  30 -> 31 [size =\"25933824\"]\n  30 -> 32 [size =\"25933824\"]\n  31 [size=\"76349440\", alpha=\"0.05\", expect_size=\"38174720\"] \n  32 [size=\"26845184\", alpha=\"0.15\", expect_size=\"13422592\"] \n  32 -> 33 [size =\"13422592\"]\n  33 [size=\"46804992\", alpha=\"0.09\", expect_size=\"23402496\"] \n  33 -> 34 [size =\"23402496\"]\n  33 -> 35 [size =\"23402496\"]\n  34 [size=\"83832832\", alpha=\"0.13\", expect_size=\"41916416\"] \n  35 [size=\"75413504\", alpha=\"0.12\", expect_size=\"37706752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137127253\", alpha=\"0.17\", expect_size=\"41138176\"] \n  1 -> 2 [size =\"41138176\"]\n  2 [size=\"38884693\", alpha=\"0.07\", expect_size=\"11665408\"] \n  2 -> 3 [size =\"11665408\"]\n  3 [size=\"159429973\", alpha=\"0.19\", expect_size=\"47828992\"] \n  3 -> 4 [size =\"47828992\"]\n  4 [size=\"18251093\", alpha=\"0.07\", expect_size=\"5475328\"] \n  4 -> 5 [size =\"5475328\"]\n  5 [size=\"50510507\", alpha=\"0.01\", expect_size=\"15153152\"] \n  5 -> 6 [size =\"15153152\"]\n  6 [size=\"55592960\", alpha=\"0.04\", expect_size=\"16677888\"] \n  6 -> 7 [size =\"16677888\"]\n  7 [size=\"89501013\", alpha=\"0.04\", expect_size=\"26850304\"] \n  7 -> 8 [size =\"26850304\"]\n  8 [size=\"122859520\", alpha=\"0.04\", expect_size=\"36857856\"] \n  8 -> 9 [size =\"36857856\"]\n  9 [size=\"151026347\", alpha=\"0.15\", expect_size=\"45307904\"] \n  9 -> 10 [size =\"45307904\"]\n  10 [size=\"43359573\", alpha=\"0.16\", expect_size=\"13007872\"] \n  10 -> 11 [size =\"13007872\"]\n  11 [size=\"18568533\", alpha=\"0.18\", expect_size=\"5570560\"] \n  11 -> 12 [size =\"5570560\"]\n  12 [size=\"153422507\", alpha=\"0.10\", expect_size=\"46026752\"] \n  12 -> 13 [size =\"46026752\"]\n  13 [size=\"54050133\", alpha=\"0.01\", expect_size=\"16215040\"] \n  13 -> 14 [size =\"16215040\"]\n  14 [size=\"43093333\", alpha=\"0.19\", expect_size=\"12928000\"] \n  14 -> 15 [size =\"12928000\"]\n  15 [size=\"100055040\", alpha=\"0.15\", expect_size=\"30016512\"] \n  15 -> 16 [size =\"30016512\"]\n  16 [size=\"109605547\", alpha=\"0.18\", expect_size=\"32881664\"] \n  16 -> 17 [size =\"32881664\"]\n  17 [size=\"144005120\", alpha=\"0.17\", expect_size=\"43201536\"] \n  17 -> 18 [size =\"43201536\"]\n  18 [size=\"19524267\", alpha=\"0.13\", expect_size=\"5857280\"] \n  18 -> 19 [size =\"5857280\"]\n  19 [size=\"48087040\", alpha=\"0.12\", expect_size=\"14426112\"] \n  19 -> 20 [size =\"14426112\"]\n  20 [size=\"166577493\", alpha=\"0.11\", expect_size=\"49973248\"] \n  20 -> 21 [size =\"49973248\"]\n  21 [size=\"135505920\", alpha=\"0.05\", expect_size=\"40651776\"] \n  21 -> 22 [size =\"40651776\"]\n  22 [size=\"119500800\", alpha=\"0.02\", expect_size=\"35850240\"] \n  22 -> 23 [size =\"35850240\"]\n  23 [size=\"43339093\", alpha=\"0.17\", expect_size=\"13001728\"] \n  23 -> 24 [size =\"13001728\"]\n  24 [size=\"53070507\", alpha=\"0.12\", expect_size=\"15921152\"] \n  24 -> 25 [size =\"15921152\"]\n  25 [size=\"44366507\", alpha=\"0.11\", expect_size=\"13309952\"] \n  25 -> 26 [size =\"13309952\"]\n  26 [size=\"164532907\", alpha=\"0.15\", expect_size=\"49359872\"] \n  26 -> 27 [size =\"49359872\"]\n  27 [size=\"147735893\", alpha=\"0.08\", expect_size=\"44320768\"] \n  27 -> 28 [size =\"44320768\"]\n  28 [size=\"120934400\", alpha=\"0.15\", expect_size=\"36280320\"] \n  28 -> 29 [size =\"36280320\"]\n  29 [size=\"64931840\", alpha=\"0.18\", expect_size=\"19479552\"] \n  29 -> 30 [size =\"19479552\"]\n  30 [size=\"162164053\", alpha=\"0.05\", expect_size=\"48649216\"] \n  30 -> 31 [size =\"48649216\"]\n  31 [size=\"92996267\", alpha=\"0.12\", expect_size=\"27898880\"] \n  31 -> 32 [size =\"27898880\"]\n  32 [size=\"134369280\", alpha=\"0.16\", expect_size=\"40310784\"] \n  32 -> 33 [size =\"40310784\"]\n  33 [size=\"150405120\", alpha=\"0.05\", expect_size=\"45121536\"] \n  33 -> 34 [size =\"45121536\"]\n  34 [size=\"125771093\", alpha=\"0.17\", expect_size=\"37731328\"] \n  34 -> 35 [size =\"37731328\"]\n  35 [size=\"61252267\", alpha=\"0.20\", expect_size=\"18375680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93168640\", alpha=\"0.08\", expect_size=\"37267456\"] \n  1 -> 3 [size =\"37267456\"]\n  2 [size=\"116229120\", alpha=\"0.16\", expect_size=\"46491648\"] \n  2 -> 4 [size =\"46491648\"]\n  3 [size=\"99212800\", alpha=\"0.18\", expect_size=\"39685120\"] \n  3 -> 5 [size =\"39685120\"]\n  4 [size=\"119311360\", alpha=\"0.18\", expect_size=\"47724544\"] \n  5 [size=\"88768000\", alpha=\"0.01\", expect_size=\"35507200\"] \n  5 -> 6 [size =\"35507200\"]\n  6 [size=\"110622720\", alpha=\"0.06\", expect_size=\"44249088\"] \n  6 -> 7 [size =\"44249088\"]\n  7 [size=\"95400960\", alpha=\"0.12\", expect_size=\"38160384\"] \n  7 -> 8 [size =\"38160384\"]\n  7 -> 9 [size =\"38160384\"]\n  8 [size=\"19765760\", alpha=\"0.02\", expect_size=\"7906304\"] \n  8 -> 11 [size =\"7906304\"]\n  9 [size=\"89894400\", alpha=\"0.01\", expect_size=\"35957760\"] \n  9 -> 10 [size =\"35957760\"]\n  10 [size=\"63713280\", alpha=\"0.02\", expect_size=\"25485312\"] \n  11 [size=\"59358720\", alpha=\"0.09\", expect_size=\"23743488\"] \n  11 -> 12 [size =\"23743488\"]\n  12 [size=\"104294400\", alpha=\"0.05\", expect_size=\"41717760\"] \n  12 -> 13 [size =\"41717760\"]\n  13 [size=\"83522560\", alpha=\"0.13\", expect_size=\"33409024\"] \n  13 -> 14 [size =\"33409024\"]\n  14 [size=\"72934400\", alpha=\"0.05\", expect_size=\"29173760\"] \n  14 -> 15 [size =\"29173760\"]\n  15 [size=\"61470720\", alpha=\"0.06\", expect_size=\"24588288\"] \n  15 -> 16 [size =\"24588288\"]\n  16 [size=\"66234880\", alpha=\"0.14\", expect_size=\"26493952\"] \n  16 -> 17 [size =\"26493952\"]\n  16 -> 18 [size =\"26493952\"]\n  17 [size=\"101424640\", alpha=\"0.15\", expect_size=\"40569856\"] \n  17 -> 19 [size =\"40569856\"]\n  18 [size=\"57126400\", alpha=\"0.17\", expect_size=\"22850560\"] \n  18 -> 20 [size =\"22850560\"]\n  19 [size=\"68531200\", alpha=\"0.17\", expect_size=\"27412480\"] \n  19 -> 21 [size =\"27412480\"]\n  20 [size=\"75537920\", alpha=\"0.20\", expect_size=\"30215168\"] \n  21 [size=\"89454080\", alpha=\"0.16\", expect_size=\"35781632\"] \n  21 -> 22 [size =\"35781632\"]\n  22 [size=\"21708800\", alpha=\"0.09\", expect_size=\"8683520\"] \n  22 -> 23 [size =\"8683520\"]\n  23 [size=\"48253440\", alpha=\"0.18\", expect_size=\"19301376\"] \n  23 -> 24 [size =\"19301376\"]\n  24 [size=\"126100480\", alpha=\"0.04\", expect_size=\"50440192\"] \n  24 -> 25 [size =\"50440192\"]\n  24 -> 26 [size =\"50440192\"]\n  25 [size=\"38522880\", alpha=\"0.03\", expect_size=\"15409152\"] \n  25 -> 27 [size =\"15409152\"]\n  25 -> 28 [size =\"15409152\"]\n  26 [size=\"76620800\", alpha=\"0.18\", expect_size=\"30648320\"] \n  27 [size=\"38430720\", alpha=\"0.08\", expect_size=\"15372288\"] \n  27 -> 29 [size =\"15372288\"]\n  27 -> 30 [size =\"15372288\"]\n  28 [size=\"125578240\", alpha=\"0.18\", expect_size=\"50231296\"] \n  29 [size=\"110671360\", alpha=\"0.02\", expect_size=\"44268544\"] \n  29 -> 32 [size =\"44268544\"]\n  30 [size=\"95272960\", alpha=\"0.14\", expect_size=\"38109184\"] \n  30 -> 31 [size =\"38109184\"]\n  31 [size=\"94433280\", alpha=\"0.14\", expect_size=\"37773312\"] \n  31 -> 33 [size =\"37773312\"]\n  32 [size=\"70248960\", alpha=\"0.09\", expect_size=\"28099584\"] \n  33 [size=\"125844480\", alpha=\"0.17\", expect_size=\"50337792\"] \n  33 -> 34 [size =\"50337792\"]\n  34 [size=\"111393280\", alpha=\"0.14\", expect_size=\"44557312\"] \n  34 -> 35 [size =\"44557312\"]\n  35 [size=\"15142400\", alpha=\"0.00\", expect_size=\"6056960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35015680\", alpha=\"0.11\", expect_size=\"14006272\"] \n  1 -> 19 [size =\"14006272\"]\n  1 -> 26 [size =\"14006272\"]\n  1 -> 32 [size =\"14006272\"]\n  1 -> 35 [size =\"14006272\"]\n  2 [size=\"63516160\", alpha=\"0.11\", expect_size=\"25406464\"] \n  2 -> 23 [size =\"25406464\"]\n  2 -> 26 [size =\"25406464\"]\n  2 -> 29 [size =\"25406464\"]\n  2 -> 31 [size =\"25406464\"]\n  2 -> 32 [size =\"25406464\"]\n  2 -> 35 [size =\"25406464\"]\n  3 [size=\"41477120\", alpha=\"0.06\", expect_size=\"16590848\"] \n  3 -> 20 [size =\"16590848\"]\n  3 -> 21 [size =\"16590848\"]\n  3 -> 23 [size =\"16590848\"]\n  3 -> 26 [size =\"16590848\"]\n  3 -> 30 [size =\"16590848\"]\n  3 -> 31 [size =\"16590848\"]\n  3 -> 32 [size =\"16590848\"]\n  4 [size=\"80619520\", alpha=\"0.06\", expect_size=\"32247808\"] \n  4 -> 18 [size =\"32247808\"]\n  4 -> 21 [size =\"32247808\"]\n  4 -> 22 [size =\"32247808\"]\n  4 -> 23 [size =\"32247808\"]\n  4 -> 27 [size =\"32247808\"]\n  4 -> 31 [size =\"32247808\"]\n  4 -> 32 [size =\"32247808\"]\n  4 -> 33 [size =\"32247808\"]\n  4 -> 35 [size =\"32247808\"]\n  5 [size=\"107294720\", alpha=\"0.19\", expect_size=\"42917888\"] \n  5 -> 21 [size =\"42917888\"]\n  5 -> 23 [size =\"42917888\"]\n  5 -> 24 [size =\"42917888\"]\n  5 -> 27 [size =\"42917888\"]\n  5 -> 28 [size =\"42917888\"]\n  5 -> 32 [size =\"42917888\"]\n  5 -> 35 [size =\"42917888\"]\n  6 [size=\"129653760\", alpha=\"0.03\", expect_size=\"51861504\"] \n  6 -> 19 [size =\"51861504\"]\n  6 -> 22 [size =\"51861504\"]\n  6 -> 28 [size =\"51861504\"]\n  6 -> 29 [size =\"51861504\"]\n  7 [size=\"83008000\", alpha=\"0.00\", expect_size=\"33203200\"] \n  7 -> 19 [size =\"33203200\"]\n  7 -> 23 [size =\"33203200\"]\n  7 -> 26 [size =\"33203200\"]\n  8 [size=\"105533440\", alpha=\"0.02\", expect_size=\"42213376\"] \n  8 -> 19 [size =\"42213376\"]\n  8 -> 21 [size =\"42213376\"]\n  8 -> 23 [size =\"42213376\"]\n  8 -> 32 [size =\"42213376\"]\n  9 [size=\"96524800\", alpha=\"0.11\", expect_size=\"38609920\"] \n  9 -> 19 [size =\"38609920\"]\n  9 -> 20 [size =\"38609920\"]\n  9 -> 21 [size =\"38609920\"]\n  9 -> 23 [size =\"38609920\"]\n  9 -> 25 [size =\"38609920\"]\n  9 -> 27 [size =\"38609920\"]\n  9 -> 29 [size =\"38609920\"]\n  9 -> 34 [size =\"38609920\"]\n  10 [size=\"60700160\", alpha=\"0.12\", expect_size=\"24280064\"] \n  10 -> 19 [size =\"24280064\"]\n  10 -> 20 [size =\"24280064\"]\n  10 -> 21 [size =\"24280064\"]\n  10 -> 22 [size =\"24280064\"]\n  10 -> 24 [size =\"24280064\"]\n  10 -> 25 [size =\"24280064\"]\n  10 -> 28 [size =\"24280064\"]\n  10 -> 29 [size =\"24280064\"]\n  10 -> 32 [size =\"24280064\"]\n  10 -> 35 [size =\"24280064\"]\n  11 [size=\"114700800\", alpha=\"0.18\", expect_size=\"45880320\"] \n  11 -> 18 [size =\"45880320\"]\n  11 -> 20 [size =\"45880320\"]\n  11 -> 21 [size =\"45880320\"]\n  11 -> 23 [size =\"45880320\"]\n  11 -> 24 [size =\"45880320\"]\n  11 -> 26 [size =\"45880320\"]\n  11 -> 28 [size =\"45880320\"]\n  11 -> 29 [size =\"45880320\"]\n  11 -> 32 [size =\"45880320\"]\n  12 [size=\"58810880\", alpha=\"0.07\", expect_size=\"23524352\"] \n  12 -> 23 [size =\"23524352\"]\n  12 -> 26 [size =\"23524352\"]\n  12 -> 29 [size =\"23524352\"]\n  12 -> 32 [size =\"23524352\"]\n  12 -> 35 [size =\"23524352\"]\n  13 [size=\"123937280\", alpha=\"0.04\", expect_size=\"49574912\"] \n  13 -> 20 [size =\"49574912\"]\n  13 -> 22 [size =\"49574912\"]\n  13 -> 23 [size =\"49574912\"]\n  13 -> 28 [size =\"49574912\"]\n  13 -> 29 [size =\"49574912\"]\n  13 -> 30 [size =\"49574912\"]\n  13 -> 35 [size =\"49574912\"]\n  14 [size=\"41392640\", alpha=\"0.08\", expect_size=\"16557056\"] \n  14 -> 18 [size =\"16557056\"]\n  14 -> 19 [size =\"16557056\"]\n  14 -> 20 [size =\"16557056\"]\n  14 -> 25 [size =\"16557056\"]\n  14 -> 29 [size =\"16557056\"]\n  15 [size=\"77347840\", alpha=\"0.03\", expect_size=\"30939136\"] \n  15 -> 22 [size =\"30939136\"]\n  15 -> 25 [size =\"30939136\"]\n  15 -> 29 [size =\"30939136\"]\n  15 -> 30 [size =\"30939136\"]\n  15 -> 33 [size =\"30939136\"]\n  16 [size=\"68615680\", alpha=\"0.02\", expect_size=\"27446272\"] \n  16 -> 25 [size =\"27446272\"]\n  16 -> 26 [size =\"27446272\"]\n  16 -> 27 [size =\"27446272\"]\n  16 -> 28 [size =\"27446272\"]\n  16 -> 32 [size =\"27446272\"]\n  17 [size=\"89044480\", alpha=\"0.10\", expect_size=\"35617792\"] \n  17 -> 21 [size =\"35617792\"]\n  17 -> 26 [size =\"35617792\"]\n  17 -> 27 [size =\"35617792\"]\n  17 -> 28 [size =\"35617792\"]\n  17 -> 29 [size =\"35617792\"]\n  17 -> 32 [size =\"35617792\"]\n  18 [size=\"91315200\", alpha=\"0.08\", expect_size=\"36526080\"] \n  19 [size=\"105525760\", alpha=\"0.03\", expect_size=\"42210304\"] \n  20 [size=\"51115520\", alpha=\"0.13\", expect_size=\"20446208\"] \n  21 [size=\"122688000\", alpha=\"0.07\", expect_size=\"49075200\"] \n  22 [size=\"112284160\", alpha=\"0.10\", expect_size=\"44913664\"] \n  23 [size=\"37749760\", alpha=\"0.18\", expect_size=\"15099904\"] \n  24 [size=\"63060480\", alpha=\"0.17\", expect_size=\"25224192\"] \n  25 [size=\"107671040\", alpha=\"0.12\", expect_size=\"43068416\"] \n  26 [size=\"124679680\", alpha=\"0.06\", expect_size=\"49871872\"] \n  27 [size=\"19758080\", alpha=\"0.13\", expect_size=\"7903232\"] \n  28 [size=\"76339200\", alpha=\"0.15\", expect_size=\"30535680\"] \n  29 [size=\"121282560\", alpha=\"0.12\", expect_size=\"48513024\"] \n  30 [size=\"18391040\", alpha=\"0.16\", expect_size=\"7356416\"] \n  31 [size=\"95508480\", alpha=\"0.18\", expect_size=\"38203392\"] \n  32 [size=\"20646400\", alpha=\"0.08\", expect_size=\"8258560\"] \n  33 [size=\"80151040\", alpha=\"0.16\", expect_size=\"32060416\"] \n  34 [size=\"66457600\", alpha=\"0.09\", expect_size=\"26583040\"] \n  35 [size=\"47083520\", alpha=\"0.13\", expect_size=\"18833408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107112960\", alpha=\"0.08\", expect_size=\"42845184\"] \n  1 -> 26 [size =\"42845184\"]\n  1 -> 28 [size =\"42845184\"]\n  1 -> 31 [size =\"42845184\"]\n  1 -> 33 [size =\"42845184\"]\n  1 -> 35 [size =\"42845184\"]\n  2 [size=\"116423680\", alpha=\"0.03\", expect_size=\"46569472\"] \n  2 -> 26 [size =\"46569472\"]\n  2 -> 31 [size =\"46569472\"]\n  2 -> 35 [size =\"46569472\"]\n  3 [size=\"114493440\", alpha=\"0.17\", expect_size=\"45797376\"] \n  3 -> 27 [size =\"45797376\"]\n  3 -> 28 [size =\"45797376\"]\n  4 [size=\"119912960\", alpha=\"0.08\", expect_size=\"47965184\"] \n  4 -> 26 [size =\"47965184\"]\n  4 -> 31 [size =\"47965184\"]\n  4 -> 33 [size =\"47965184\"]\n  4 -> 34 [size =\"47965184\"]\n  5 [size=\"106593280\", alpha=\"0.06\", expect_size=\"42637312\"] \n  5 -> 31 [size =\"42637312\"]\n  5 -> 31 [size =\"42637312\"]\n  5 -> 34 [size =\"42637312\"]\n  5 -> 35 [size =\"42637312\"]\n  6 [size=\"16547840\", alpha=\"0.10\", expect_size=\"6619136\"] \n  6 -> 34 [size =\"6619136\"]\n  7 [size=\"101824000\", alpha=\"0.19\", expect_size=\"40729600\"] \n  7 -> 31 [size =\"40729600\"]\n  7 -> 32 [size =\"40729600\"]\n  8 [size=\"77163520\", alpha=\"0.12\", expect_size=\"30865408\"] \n  9 [size=\"89415680\", alpha=\"0.05\", expect_size=\"35766272\"] \n  9 -> 27 [size =\"35766272\"]\n  9 -> 30 [size =\"35766272\"]\n  9 -> 34 [size =\"35766272\"]\n  10 [size=\"19573760\", alpha=\"0.01\", expect_size=\"7829504\"] \n  10 -> 26 [size =\"7829504\"]\n  11 [size=\"112537600\", alpha=\"0.10\", expect_size=\"45015040\"] \n  11 -> 26 [size =\"45015040\"]\n  12 [size=\"41671680\", alpha=\"0.14\", expect_size=\"16668672\"] \n  12 -> 26 [size =\"16668672\"]\n  12 -> 28 [size =\"16668672\"]\n  12 -> 31 [size =\"16668672\"]\n  13 [size=\"59151360\", alpha=\"0.14\", expect_size=\"23660544\"] \n  13 -> 35 [size =\"23660544\"]\n  14 [size=\"38681600\", alpha=\"0.04\", expect_size=\"15472640\"] \n  14 -> 27 [size =\"15472640\"]\n  14 -> 34 [size =\"15472640\"]\n  14 -> 35 [size =\"15472640\"]\n  15 [size=\"87892480\", alpha=\"0.08\", expect_size=\"35156992\"] \n  15 -> 26 [size =\"35156992\"]\n  15 -> 29 [size =\"35156992\"]\n  15 -> 34 [size =\"35156992\"]\n  16 [size=\"123279360\", alpha=\"0.15\", expect_size=\"49311744\"] \n  16 -> 26 [size =\"49311744\"]\n  16 -> 34 [size =\"49311744\"]\n  16 -> 35 [size =\"49311744\"]\n  17 [size=\"65482240\", alpha=\"0.05\", expect_size=\"26192896\"] \n  17 -> 26 [size =\"26192896\"]\n  17 -> 34 [size =\"26192896\"]\n  17 -> 35 [size =\"26192896\"]\n  18 [size=\"58519040\", alpha=\"0.03\", expect_size=\"23407616\"] \n  18 -> 34 [size =\"23407616\"]\n  19 [size=\"129146880\", alpha=\"0.16\", expect_size=\"51658752\"] \n  19 -> 35 [size =\"51658752\"]\n  20 [size=\"40412160\", alpha=\"0.12\", expect_size=\"16164864\"] \n  20 -> 27 [size =\"16164864\"]\n  21 [size=\"44864000\", alpha=\"0.03\", expect_size=\"17945600\"] \n  21 -> 33 [size =\"17945600\"]\n  21 -> 35 [size =\"17945600\"]\n  22 [size=\"102592000\", alpha=\"0.13\", expect_size=\"41036800\"] \n  22 -> 26 [size =\"41036800\"]\n  22 -> 27 [size =\"41036800\"]\n  22 -> 34 [size =\"41036800\"]\n  23 [size=\"64304640\", alpha=\"0.19\", expect_size=\"25721856\"] \n  23 -> 26 [size =\"25721856\"]\n  24 [size=\"28966400\", alpha=\"0.04\", expect_size=\"11586560\"] \n  24 -> 31 [size =\"11586560\"]\n  24 -> 34 [size =\"11586560\"]\n  24 -> 35 [size =\"11586560\"]\n  25 [size=\"49940480\", alpha=\"0.04\", expect_size=\"19976192\"] \n  25 -> 26 [size =\"19976192\"]\n  25 -> 28 [size =\"19976192\"]\n  25 -> 31 [size =\"19976192\"]\n  25 -> 35 [size =\"19976192\"]\n  26 [size=\"94353920\", alpha=\"0.05\", expect_size=\"37741568\"] \n  27 [size=\"64330240\", alpha=\"0.01\", expect_size=\"25732096\"] \n  28 [size=\"92922880\", alpha=\"0.08\", expect_size=\"37169152\"] \n  29 [size=\"107788800\", alpha=\"0.08\", expect_size=\"43115520\"] \n  30 [size=\"83169280\", alpha=\"0.09\", expect_size=\"33267712\"] \n  31 [size=\"33843200\", alpha=\"0.07\", expect_size=\"13537280\"] \n  32 [size=\"53811200\", alpha=\"0.09\", expect_size=\"21524480\"] \n  33 [size=\"128430080\", alpha=\"0.20\", expect_size=\"51372032\"] \n  34 [size=\"123159040\", alpha=\"0.14\", expect_size=\"49263616\"] \n  35 [size=\"26836480\", alpha=\"0.02\", expect_size=\"10734592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51107840\", alpha=\"0.11\", expect_size=\"20443136\"] \n  1 -> 3 [size =\"20443136\"]\n  2 [size=\"75842560\", alpha=\"0.13\", expect_size=\"30337024\"] \n  3 [size=\"71347200\", alpha=\"0.15\", expect_size=\"28538880\"] \n  3 -> 4 [size =\"28538880\"]\n  4 [size=\"118179840\", alpha=\"0.01\", expect_size=\"47271936\"] \n  4 -> 5 [size =\"47271936\"]\n  4 -> 6 [size =\"47271936\"]\n  5 [size=\"36956160\", alpha=\"0.05\", expect_size=\"14782464\"] \n  5 -> 7 [size =\"14782464\"]\n  6 [size=\"32652800\", alpha=\"0.12\", expect_size=\"13061120\"] \n  6 -> 7 [size =\"13061120\"]\n  7 [size=\"117729280\", alpha=\"0.02\", expect_size=\"47091712\"] \n  7 -> 8 [size =\"47091712\"]\n  8 [size=\"31196160\", alpha=\"0.06\", expect_size=\"12478464\"] \n  8 -> 9 [size =\"12478464\"]\n  8 -> 10 [size =\"12478464\"]\n  9 [size=\"36738560\", alpha=\"0.12\", expect_size=\"14695424\"] \n  9 -> 11 [size =\"14695424\"]\n  10 [size=\"23093760\", alpha=\"0.09\", expect_size=\"9237504\"] \n  11 [size=\"55034880\", alpha=\"0.09\", expect_size=\"22013952\"] \n  11 -> 12 [size =\"22013952\"]\n  11 -> 13 [size =\"22013952\"]\n  12 [size=\"119854080\", alpha=\"0.18\", expect_size=\"47941632\"] \n  12 -> 15 [size =\"47941632\"]\n  13 [size=\"80064000\", alpha=\"0.16\", expect_size=\"32025600\"] \n  13 -> 14 [size =\"32025600\"]\n  13 -> 15 [size =\"32025600\"]\n  14 [size=\"53335040\", alpha=\"0.06\", expect_size=\"21334016\"] \n  14 -> 16 [size =\"21334016\"]\n  15 [size=\"57638400\", alpha=\"0.14\", expect_size=\"23055360\"] \n  15 -> 16 [size =\"23055360\"]\n  16 [size=\"89436160\", alpha=\"0.16\", expect_size=\"35774464\"] \n  16 -> 17 [size =\"35774464\"]\n  16 -> 18 [size =\"35774464\"]\n  17 [size=\"43274240\", alpha=\"0.03\", expect_size=\"17309696\"] \n  17 -> 19 [size =\"17309696\"]\n  18 [size=\"57638400\", alpha=\"0.02\", expect_size=\"23055360\"] \n  18 -> 19 [size =\"23055360\"]\n  19 [size=\"90147840\", alpha=\"0.16\", expect_size=\"36059136\"] \n  19 -> 20 [size =\"36059136\"]\n  19 -> 21 [size =\"36059136\"]\n  20 [size=\"42708480\", alpha=\"0.12\", expect_size=\"17083392\"] \n  20 -> 22 [size =\"17083392\"]\n  21 [size=\"93475840\", alpha=\"0.14\", expect_size=\"37390336\"] \n  22 [size=\"31009280\", alpha=\"0.07\", expect_size=\"12403712\"] \n  22 -> 23 [size =\"12403712\"]\n  22 -> 24 [size =\"12403712\"]\n  23 [size=\"17108480\", alpha=\"0.10\", expect_size=\"6843392\"] \n  23 -> 25 [size =\"6843392\"]\n  24 [size=\"110976000\", alpha=\"0.10\", expect_size=\"44390400\"] \n  25 [size=\"27837440\", alpha=\"0.15\", expect_size=\"11134976\"] \n  25 -> 26 [size =\"11134976\"]\n  26 [size=\"109905920\", alpha=\"0.03\", expect_size=\"43962368\"] \n  26 -> 27 [size =\"43962368\"]\n  26 -> 28 [size =\"43962368\"]\n  27 [size=\"84180480\", alpha=\"0.08\", expect_size=\"33672192\"] \n  27 -> 29 [size =\"33672192\"]\n  28 [size=\"100431360\", alpha=\"0.17\", expect_size=\"40172544\"] \n  29 [size=\"112135680\", alpha=\"0.10\", expect_size=\"44854272\"] \n  29 -> 30 [size =\"44854272\"]\n  29 -> 31 [size =\"44854272\"]\n  30 [size=\"88701440\", alpha=\"0.04\", expect_size=\"35480576\"] \n  30 -> 32 [size =\"35480576\"]\n  31 [size=\"40499200\", alpha=\"0.06\", expect_size=\"16199680\"] \n  31 -> 32 [size =\"16199680\"]\n  32 [size=\"123491840\", alpha=\"0.06\", expect_size=\"49396736\"] \n  32 -> 33 [size =\"49396736\"]\n  32 -> 34 [size =\"49396736\"]\n  33 [size=\"46528000\", alpha=\"0.17\", expect_size=\"18611200\"] \n  33 -> 35 [size =\"18611200\"]\n  34 [size=\"103772160\", alpha=\"0.14\", expect_size=\"41508864\"] \n  34 -> 35 [size =\"41508864\"]\n  35 [size=\"46405120\", alpha=\"0.20\", expect_size=\"18562048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10903552\", alpha=\"0.13\", expect_size=\"5451776\"] \n  1 -> 27 [size =\"5451776\"]\n  1 -> 32 [size =\"5451776\"]\n  2 [size=\"34609152\", alpha=\"0.16\", expect_size=\"17304576\"] \n  2 -> 24 [size =\"17304576\"]\n  3 [size=\"64980992\", alpha=\"0.07\", expect_size=\"32490496\"] \n  3 -> 25 [size =\"32490496\"]\n  3 -> 30 [size =\"32490496\"]\n  3 -> 31 [size =\"32490496\"]\n  3 -> 35 [size =\"32490496\"]\n  4 [size=\"15056896\", alpha=\"0.12\", expect_size=\"7528448\"] \n  4 -> 24 [size =\"7528448\"]\n  4 -> 25 [size =\"7528448\"]\n  4 -> 26 [size =\"7528448\"]\n  4 -> 35 [size =\"7528448\"]\n  5 [size=\"34426880\", alpha=\"0.00\", expect_size=\"17213440\"] \n  5 -> 25 [size =\"17213440\"]\n  5 -> 25 [size =\"17213440\"]\n  5 -> 32 [size =\"17213440\"]\n  6 [size=\"18053120\", alpha=\"0.13\", expect_size=\"9026560\"] \n  6 -> 23 [size =\"9026560\"]\n  6 -> 27 [size =\"9026560\"]\n  6 -> 30 [size =\"9026560\"]\n  6 -> 31 [size =\"9026560\"]\n  6 -> 33 [size =\"9026560\"]\n  6 -> 35 [size =\"9026560\"]\n  7 [size=\"13735936\", alpha=\"0.05\", expect_size=\"6867968\"] \n  7 -> 24 [size =\"6867968\"]\n  7 -> 30 [size =\"6867968\"]\n  8 [size=\"12296192\", alpha=\"0.10\", expect_size=\"6148096\"] \n  8 -> 28 [size =\"6148096\"]\n  8 -> 33 [size =\"6148096\"]\n  8 -> 34 [size =\"6148096\"]\n  8 -> 35 [size =\"6148096\"]\n  9 [size=\"102602752\", alpha=\"0.12\", expect_size=\"51301376\"] \n  9 -> 32 [size =\"51301376\"]\n  10 [size=\"85837824\", alpha=\"0.16\", expect_size=\"42918912\"] \n  10 -> 23 [size =\"42918912\"]\n  10 -> 26 [size =\"42918912\"]\n  10 -> 28 [size =\"42918912\"]\n  10 -> 30 [size =\"42918912\"]\n  11 [size=\"32800768\", alpha=\"0.01\", expect_size=\"16400384\"] \n  11 -> 26 [size =\"16400384\"]\n  11 -> 26 [size =\"16400384\"]\n  11 -> 31 [size =\"16400384\"]\n  12 [size=\"92483584\", alpha=\"0.03\", expect_size=\"46241792\"] \n  12 -> 30 [size =\"46241792\"]\n  13 [size=\"75929600\", alpha=\"0.01\", expect_size=\"37964800\"] \n  13 -> 25 [size =\"37964800\"]\n  13 -> 26 [size =\"37964800\"]\n  13 -> 27 [size =\"37964800\"]\n  13 -> 30 [size =\"37964800\"]\n  14 [size=\"15511552\", alpha=\"0.12\", expect_size=\"7755776\"] \n  14 -> 29 [size =\"7755776\"]\n  14 -> 35 [size =\"7755776\"]\n  15 [size=\"73889792\", alpha=\"0.03\", expect_size=\"36944896\"] \n  15 -> 24 [size =\"36944896\"]\n  15 -> 28 [size =\"36944896\"]\n  16 [size=\"75720704\", alpha=\"0.05\", expect_size=\"37860352\"] \n  16 -> 27 [size =\"37860352\"]\n  16 -> 28 [size =\"37860352\"]\n  16 -> 34 [size =\"37860352\"]\n  17 [size=\"42573824\", alpha=\"0.19\", expect_size=\"21286912\"] \n  17 -> 28 [size =\"21286912\"]\n  18 [size=\"65372160\", alpha=\"0.15\", expect_size=\"32686080\"] \n  18 -> 24 [size =\"32686080\"]\n  18 -> 26 [size =\"32686080\"]\n  18 -> 28 [size =\"32686080\"]\n  18 -> 30 [size =\"32686080\"]\n  19 [size=\"18456576\", alpha=\"0.04\", expect_size=\"9228288\"] \n  19 -> 24 [size =\"9228288\"]\n  19 -> 29 [size =\"9228288\"]\n  19 -> 34 [size =\"9228288\"]\n  19 -> 35 [size =\"9228288\"]\n  20 [size=\"75251712\", alpha=\"0.18\", expect_size=\"37625856\"] \n  20 -> 24 [size =\"37625856\"]\n  20 -> 29 [size =\"37625856\"]\n  20 -> 30 [size =\"37625856\"]\n  21 [size=\"58411008\", alpha=\"0.13\", expect_size=\"29205504\"] \n  21 -> 24 [size =\"29205504\"]\n  21 -> 26 [size =\"29205504\"]\n  21 -> 27 [size =\"29205504\"]\n  21 -> 29 [size =\"29205504\"]\n  21 -> 32 [size =\"29205504\"]\n  21 -> 34 [size =\"29205504\"]\n  22 [size=\"63045632\", alpha=\"0.13\", expect_size=\"31522816\"] \n  22 -> 24 [size =\"31522816\"]\n  22 -> 29 [size =\"31522816\"]\n  22 -> 34 [size =\"31522816\"]\n  22 -> 35 [size =\"31522816\"]\n  23 [size=\"79454208\", alpha=\"0.05\", expect_size=\"39727104\"] \n  24 [size=\"82397184\", alpha=\"0.17\", expect_size=\"41198592\"] \n  25 [size=\"45240320\", alpha=\"0.15\", expect_size=\"22620160\"] \n  26 [size=\"57944064\", alpha=\"0.14\", expect_size=\"28972032\"] \n  27 [size=\"83073024\", alpha=\"0.14\", expect_size=\"41536512\"] \n  28 [size=\"80074752\", alpha=\"0.14\", expect_size=\"40037376\"] \n  29 [size=\"57100288\", alpha=\"0.13\", expect_size=\"28550144\"] \n  30 [size=\"74835968\", alpha=\"0.09\", expect_size=\"37417984\"] \n  31 [size=\"67676160\", alpha=\"0.10\", expect_size=\"33838080\"] \n  32 [size=\"36036608\", alpha=\"0.07\", expect_size=\"18018304\"] \n  33 [size=\"98416640\", alpha=\"0.19\", expect_size=\"49208320\"] \n  34 [size=\"26195968\", alpha=\"0.12\", expect_size=\"13097984\"] \n  35 [size=\"12691456\", alpha=\"0.18\", expect_size=\"6345728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56230400\", alpha=\"0.14\", expect_size=\"22492160\"] \n  1 -> 16 [size =\"22492160\"]\n  1 -> 17 [size =\"22492160\"]\n  1 -> 18 [size =\"22492160\"]\n  1 -> 22 [size =\"22492160\"]\n  1 -> 23 [size =\"22492160\"]\n  2 [size=\"112691200\", alpha=\"0.04\", expect_size=\"45076480\"] \n  2 -> 17 [size =\"45076480\"]\n  3 [size=\"74862080\", alpha=\"0.17\", expect_size=\"29944832\"] \n  3 -> 16 [size =\"29944832\"]\n  3 -> 21 [size =\"29944832\"]\n  3 -> 23 [size =\"29944832\"]\n  3 -> 24 [size =\"29944832\"]\n  4 [size=\"116206080\", alpha=\"0.15\", expect_size=\"46482432\"] \n  4 -> 18 [size =\"46482432\"]\n  4 -> 22 [size =\"46482432\"]\n  4 -> 23 [size =\"46482432\"]\n  5 [size=\"124367360\", alpha=\"0.12\", expect_size=\"49746944\"] \n  5 -> 17 [size =\"49746944\"]\n  5 -> 22 [size =\"49746944\"]\n  5 -> 23 [size =\"49746944\"]\n  5 -> 24 [size =\"49746944\"]\n  6 [size=\"14620160\", alpha=\"0.03\", expect_size=\"5848064\"] \n  6 -> 17 [size =\"5848064\"]\n  6 -> 20 [size =\"5848064\"]\n  6 -> 25 [size =\"5848064\"]\n  7 [size=\"48990720\", alpha=\"0.15\", expect_size=\"19596288\"] \n  7 -> 17 [size =\"19596288\"]\n  7 -> 20 [size =\"19596288\"]\n  7 -> 23 [size =\"19596288\"]\n  7 -> 24 [size =\"19596288\"]\n  8 [size=\"100403200\", alpha=\"0.08\", expect_size=\"40161280\"] \n  8 -> 16 [size =\"40161280\"]\n  8 -> 17 [size =\"40161280\"]\n  8 -> 20 [size =\"40161280\"]\n  8 -> 22 [size =\"40161280\"]\n  8 -> 25 [size =\"40161280\"]\n  9 [size=\"109058560\", alpha=\"0.08\", expect_size=\"43623424\"] \n  9 -> 16 [size =\"43623424\"]\n  9 -> 17 [size =\"43623424\"]\n  9 -> 19 [size =\"43623424\"]\n  9 -> 20 [size =\"43623424\"]\n  9 -> 23 [size =\"43623424\"]\n  10 [size=\"67056640\", alpha=\"0.14\", expect_size=\"26822656\"] \n  10 -> 16 [size =\"26822656\"]\n  10 -> 17 [size =\"26822656\"]\n  10 -> 18 [size =\"26822656\"]\n  10 -> 22 [size =\"26822656\"]\n  10 -> 24 [size =\"26822656\"]\n  11 [size=\"20743680\", alpha=\"0.03\", expect_size=\"8297472\"] \n  11 -> 17 [size =\"8297472\"]\n  11 -> 18 [size =\"8297472\"]\n  11 -> 18 [size =\"8297472\"]\n  11 -> 22 [size =\"8297472\"]\n  11 -> 24 [size =\"8297472\"]\n  12 [size=\"102663680\", alpha=\"0.02\", expect_size=\"41065472\"] \n  12 -> 16 [size =\"41065472\"]\n  12 -> 18 [size =\"41065472\"]\n  12 -> 20 [size =\"41065472\"]\n  12 -> 22 [size =\"41065472\"]\n  12 -> 23 [size =\"41065472\"]\n  12 -> 24 [size =\"41065472\"]\n  12 -> 25 [size =\"41065472\"]\n  13 [size=\"124490240\", alpha=\"0.09\", expect_size=\"49796096\"] \n  13 -> 16 [size =\"49796096\"]\n  13 -> 18 [size =\"49796096\"]\n  13 -> 22 [size =\"49796096\"]\n  13 -> 22 [size =\"49796096\"]\n  13 -> 25 [size =\"49796096\"]\n  14 [size=\"108935680\", alpha=\"0.04\", expect_size=\"43574272\"] \n  14 -> 16 [size =\"43574272\"]\n  14 -> 17 [size =\"43574272\"]\n  14 -> 18 [size =\"43574272\"]\n  14 -> 22 [size =\"43574272\"]\n  14 -> 25 [size =\"43574272\"]\n  15 [size=\"77314560\", alpha=\"0.01\", expect_size=\"30925824\"] \n  15 -> 16 [size =\"30925824\"]\n  15 -> 17 [size =\"30925824\"]\n  15 -> 18 [size =\"30925824\"]\n  15 -> 24 [size =\"30925824\"]\n  16 [size=\"30458880\", alpha=\"0.00\", expect_size=\"12183552\"] \n  16 -> 28 [size =\"12183552\"]\n  16 -> 29 [size =\"12183552\"]\n  16 -> 35 [size =\"12183552\"]\n  17 [size=\"50754560\", alpha=\"0.03\", expect_size=\"20301824\"] \n  17 -> 26 [size =\"20301824\"]\n  17 -> 29 [size =\"20301824\"]\n  17 -> 30 [size =\"20301824\"]\n  17 -> 31 [size =\"20301824\"]\n  17 -> 32 [size =\"20301824\"]\n  17 -> 35 [size =\"20301824\"]\n  18 [size=\"21608960\", alpha=\"0.02\", expect_size=\"8643584\"] \n  18 -> 26 [size =\"8643584\"]\n  18 -> 30 [size =\"8643584\"]\n  19 [size=\"67077120\", alpha=\"0.18\", expect_size=\"26830848\"] \n  19 -> 32 [size =\"26830848\"]\n  20 [size=\"115906560\", alpha=\"0.12\", expect_size=\"46362624\"] \n  20 -> 28 [size =\"46362624\"]\n  20 -> 29 [size =\"46362624\"]\n  20 -> 30 [size =\"46362624\"]\n  20 -> 32 [size =\"46362624\"]\n  21 [size=\"77652480\", alpha=\"0.14\", expect_size=\"31060992\"] \n  21 -> 27 [size =\"31060992\"]\n  21 -> 28 [size =\"31060992\"]\n  21 -> 29 [size =\"31060992\"]\n  21 -> 30 [size =\"31060992\"]\n  21 -> 33 [size =\"31060992\"]\n  22 [size=\"98104320\", alpha=\"0.12\", expect_size=\"39241728\"] \n  22 -> 28 [size =\"39241728\"]\n  22 -> 29 [size =\"39241728\"]\n  22 -> 29 [size =\"39241728\"]\n  22 -> 30 [size =\"39241728\"]\n  22 -> 33 [size =\"39241728\"]\n  22 -> 35 [size =\"39241728\"]\n  23 [size=\"108096000\", alpha=\"0.01\", expect_size=\"43238400\"] \n  23 -> 27 [size =\"43238400\"]\n  23 -> 28 [size =\"43238400\"]\n  23 -> 30 [size =\"43238400\"]\n  23 -> 32 [size =\"43238400\"]\n  23 -> 35 [size =\"43238400\"]\n  23 -> 35 [size =\"43238400\"]\n  24 [size=\"44334080\", alpha=\"0.07\", expect_size=\"17733632\"] \n  24 -> 28 [size =\"17733632\"]\n  24 -> 30 [size =\"17733632\"]\n  24 -> 31 [size =\"17733632\"]\n  24 -> 32 [size =\"17733632\"]\n  25 [size=\"65216000\", alpha=\"0.12\", expect_size=\"26086400\"] \n  25 -> 26 [size =\"26086400\"]\n  25 -> 28 [size =\"26086400\"]\n  25 -> 34 [size =\"26086400\"]\n  25 -> 35 [size =\"26086400\"]\n  26 [size=\"71613440\", alpha=\"0.18\", expect_size=\"28645376\"] \n  27 [size=\"74012160\", alpha=\"0.10\", expect_size=\"29604864\"] \n  28 [size=\"92902400\", alpha=\"0.16\", expect_size=\"37160960\"] \n  29 [size=\"106222080\", alpha=\"0.19\", expect_size=\"42488832\"] \n  30 [size=\"93194240\", alpha=\"0.10\", expect_size=\"37277696\"] \n  31 [size=\"46105600\", alpha=\"0.03\", expect_size=\"18442240\"] \n  32 [size=\"126046720\", alpha=\"0.12\", expect_size=\"50418688\"] \n  33 [size=\"78704640\", alpha=\"0.19\", expect_size=\"31481856\"] \n  34 [size=\"83804160\", alpha=\"0.02\", expect_size=\"33521664\"] \n  35 [size=\"126476800\", alpha=\"0.17\", expect_size=\"50590720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78196736\", alpha=\"0.17\", expect_size=\"39098368\"] \n  1 -> 29 [size =\"39098368\"]\n  1 -> 30 [size =\"39098368\"]\n  2 [size=\"71055360\", alpha=\"0.10\", expect_size=\"35527680\"] \n  2 -> 21 [size =\"35527680\"]\n  2 -> 23 [size =\"35527680\"]\n  2 -> 24 [size =\"35527680\"]\n  2 -> 25 [size =\"35527680\"]\n  2 -> 32 [size =\"35527680\"]\n  3 [size=\"39063552\", alpha=\"0.08\", expect_size=\"19531776\"] \n  3 -> 23 [size =\"19531776\"]\n  3 -> 29 [size =\"19531776\"]\n  3 -> 32 [size =\"19531776\"]\n  4 [size=\"76552192\", alpha=\"0.07\", expect_size=\"38276096\"] \n  4 -> 23 [size =\"38276096\"]\n  4 -> 24 [size =\"38276096\"]\n  4 -> 30 [size =\"38276096\"]\n  4 -> 32 [size =\"38276096\"]\n  5 [size=\"31711232\", alpha=\"0.15\", expect_size=\"15855616\"] \n  5 -> 26 [size =\"15855616\"]\n  5 -> 29 [size =\"15855616\"]\n  5 -> 32 [size =\"15855616\"]\n  6 [size=\"23982080\", alpha=\"0.16\", expect_size=\"11991040\"] \n  6 -> 22 [size =\"11991040\"]\n  6 -> 30 [size =\"11991040\"]\n  7 [size=\"41705472\", alpha=\"0.01\", expect_size=\"20852736\"] \n  7 -> 35 [size =\"20852736\"]\n  8 [size=\"58808320\", alpha=\"0.19\", expect_size=\"29404160\"] \n  8 -> 25 [size =\"29404160\"]\n  8 -> 28 [size =\"29404160\"]\n  8 -> 32 [size =\"29404160\"]\n  9 [size=\"41185280\", alpha=\"0.10\", expect_size=\"20592640\"] \n  9 -> 20 [size =\"20592640\"]\n  9 -> 24 [size =\"20592640\"]\n  9 -> 32 [size =\"20592640\"]\n  10 [size=\"16726016\", alpha=\"0.13\", expect_size=\"8363008\"] \n  10 -> 21 [size =\"8363008\"]\n  10 -> 24 [size =\"8363008\"]\n  10 -> 25 [size =\"8363008\"]\n  10 -> 32 [size =\"8363008\"]\n  10 -> 33 [size =\"8363008\"]\n  11 [size=\"25501696\", alpha=\"0.13\", expect_size=\"12750848\"] \n  11 -> 20 [size =\"12750848\"]\n  11 -> 25 [size =\"12750848\"]\n  11 -> 28 [size =\"12750848\"]\n  11 -> 29 [size =\"12750848\"]\n  11 -> 31 [size =\"12750848\"]\n  12 [size=\"13406208\", alpha=\"0.05\", expect_size=\"6703104\"] \n  12 -> 20 [size =\"6703104\"]\n  12 -> 21 [size =\"6703104\"]\n  12 -> 28 [size =\"6703104\"]\n  12 -> 35 [size =\"6703104\"]\n  13 [size=\"61421568\", alpha=\"0.09\", expect_size=\"30710784\"] \n  13 -> 21 [size =\"30710784\"]\n  13 -> 24 [size =\"30710784\"]\n  13 -> 28 [size =\"30710784\"]\n  13 -> 34 [size =\"30710784\"]\n  14 [size=\"99424256\", alpha=\"0.12\", expect_size=\"49712128\"] \n  14 -> 24 [size =\"49712128\"]\n  14 -> 25 [size =\"49712128\"]\n  14 -> 27 [size =\"49712128\"]\n  14 -> 28 [size =\"49712128\"]\n  14 -> 29 [size =\"49712128\"]\n  14 -> 33 [size =\"49712128\"]\n  15 [size=\"36376576\", alpha=\"0.20\", expect_size=\"18188288\"] \n  15 -> 20 [size =\"18188288\"]\n  15 -> 24 [size =\"18188288\"]\n  16 [size=\"13113344\", alpha=\"0.18\", expect_size=\"6556672\"] \n  16 -> 20 [size =\"6556672\"]\n  16 -> 21 [size =\"6556672\"]\n  16 -> 24 [size =\"6556672\"]\n  16 -> 26 [size =\"6556672\"]\n  16 -> 29 [size =\"6556672\"]\n  16 -> 34 [size =\"6556672\"]\n  17 [size=\"89137152\", alpha=\"0.07\", expect_size=\"44568576\"] \n  17 -> 20 [size =\"44568576\"]\n  17 -> 23 [size =\"44568576\"]\n  17 -> 27 [size =\"44568576\"]\n  17 -> 30 [size =\"44568576\"]\n  17 -> 32 [size =\"44568576\"]\n  18 [size=\"95215616\", alpha=\"0.11\", expect_size=\"47607808\"] \n  18 -> 21 [size =\"47607808\"]\n  18 -> 23 [size =\"47607808\"]\n  18 -> 25 [size =\"47607808\"]\n  18 -> 28 [size =\"47607808\"]\n  18 -> 30 [size =\"47607808\"]\n  18 -> 31 [size =\"47607808\"]\n  18 -> 33 [size =\"47607808\"]\n  19 [size=\"89006080\", alpha=\"0.16\", expect_size=\"44503040\"] \n  19 -> 23 [size =\"44503040\"]\n  19 -> 27 [size =\"44503040\"]\n  19 -> 29 [size =\"44503040\"]\n  19 -> 30 [size =\"44503040\"]\n  19 -> 30 [size =\"44503040\"]\n  20 [size=\"40783872\", alpha=\"0.00\", expect_size=\"20391936\"] \n  21 [size=\"101720064\", alpha=\"0.19\", expect_size=\"50860032\"] \n  22 [size=\"69419008\", alpha=\"0.10\", expect_size=\"34709504\"] \n  23 [size=\"91248640\", alpha=\"0.08\", expect_size=\"45624320\"] \n  24 [size=\"37730304\", alpha=\"0.19\", expect_size=\"18865152\"] \n  25 [size=\"96215040\", alpha=\"0.15\", expect_size=\"48107520\"] \n  26 [size=\"95674368\", alpha=\"0.14\", expect_size=\"47837184\"] \n  27 [size=\"86978560\", alpha=\"0.20\", expect_size=\"43489280\"] \n  28 [size=\"24442880\", alpha=\"0.16\", expect_size=\"12221440\"] \n  29 [size=\"76957696\", alpha=\"0.18\", expect_size=\"38478848\"] \n  30 [size=\"56600576\", alpha=\"0.02\", expect_size=\"28300288\"] \n  31 [size=\"56713216\", alpha=\"0.09\", expect_size=\"28356608\"] \n  32 [size=\"50640896\", alpha=\"0.16\", expect_size=\"25320448\"] \n  33 [size=\"98951168\", alpha=\"0.14\", expect_size=\"49475584\"] \n  34 [size=\"41480192\", alpha=\"0.11\", expect_size=\"20740096\"] \n  35 [size=\"38668288\", alpha=\"0.14\", expect_size=\"19334144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61050880\", alpha=\"0.16\", expect_size=\"30525440\"] \n  1 -> 2 [size =\"30525440\"]\n  2 [size=\"100659200\", alpha=\"0.10\", expect_size=\"50329600\"] \n  2 -> 3 [size =\"50329600\"]\n  3 [size=\"27162624\", alpha=\"0.08\", expect_size=\"13581312\"] \n  3 -> 4 [size =\"13581312\"]\n  4 [size=\"65128448\", alpha=\"0.06\", expect_size=\"32564224\"] \n  4 -> 5 [size =\"32564224\"]\n  5 [size=\"85997568\", alpha=\"0.04\", expect_size=\"42998784\"] \n  5 -> 6 [size =\"42998784\"]\n  6 [size=\"59531264\", alpha=\"0.18\", expect_size=\"29765632\"] \n  6 -> 7 [size =\"29765632\"]\n  7 [size=\"49326080\", alpha=\"0.12\", expect_size=\"24663040\"] \n  7 -> 8 [size =\"24663040\"]\n  8 [size=\"46512128\", alpha=\"0.11\", expect_size=\"23256064\"] \n  8 -> 9 [size =\"23256064\"]\n  9 [size=\"44498944\", alpha=\"0.16\", expect_size=\"22249472\"] \n  9 -> 10 [size =\"22249472\"]\n  10 [size=\"62593024\", alpha=\"0.06\", expect_size=\"31296512\"] \n  10 -> 11 [size =\"31296512\"]\n  11 [size=\"15872000\", alpha=\"0.10\", expect_size=\"7936000\"] \n  11 -> 12 [size =\"7936000\"]\n  12 [size=\"91885568\", alpha=\"0.12\", expect_size=\"45942784\"] \n  12 -> 13 [size =\"45942784\"]\n  13 [size=\"44662784\", alpha=\"0.07\", expect_size=\"22331392\"] \n  13 -> 14 [size =\"22331392\"]\n  14 [size=\"83720192\", alpha=\"0.07\", expect_size=\"41860096\"] \n  14 -> 15 [size =\"41860096\"]\n  15 [size=\"15824896\", alpha=\"0.14\", expect_size=\"7912448\"] \n  15 -> 16 [size =\"7912448\"]\n  16 [size=\"35993600\", alpha=\"0.08\", expect_size=\"17996800\"] \n  16 -> 17 [size =\"17996800\"]\n  17 [size=\"25528320\", alpha=\"0.12\", expect_size=\"12764160\"] \n  17 -> 18 [size =\"12764160\"]\n  18 [size=\"82184192\", alpha=\"0.01\", expect_size=\"41092096\"] \n  18 -> 19 [size =\"41092096\"]\n  19 [size=\"38776832\", alpha=\"0.12\", expect_size=\"19388416\"] \n  19 -> 20 [size =\"19388416\"]\n  20 [size=\"21430272\", alpha=\"0.04\", expect_size=\"10715136\"] \n  20 -> 21 [size =\"10715136\"]\n  21 [size=\"47534080\", alpha=\"0.06\", expect_size=\"23767040\"] \n  21 -> 22 [size =\"23767040\"]\n  22 [size=\"93845504\", alpha=\"0.07\", expect_size=\"46922752\"] \n  22 -> 23 [size =\"46922752\"]\n  23 [size=\"57911296\", alpha=\"0.12\", expect_size=\"28955648\"] \n  23 -> 24 [size =\"28955648\"]\n  24 [size=\"92168192\", alpha=\"0.08\", expect_size=\"46084096\"] \n  24 -> 25 [size =\"46084096\"]\n  25 [size=\"31846400\", alpha=\"0.01\", expect_size=\"15923200\"] \n  25 -> 26 [size =\"15923200\"]\n  26 [size=\"99594240\", alpha=\"0.03\", expect_size=\"49797120\"] \n  26 -> 27 [size =\"49797120\"]\n  27 [size=\"44412928\", alpha=\"0.14\", expect_size=\"22206464\"] \n  27 -> 28 [size =\"22206464\"]\n  28 [size=\"99600384\", alpha=\"0.13\", expect_size=\"49800192\"] \n  28 -> 29 [size =\"49800192\"]\n  29 [size=\"103735296\", alpha=\"0.19\", expect_size=\"51867648\"] \n  29 -> 30 [size =\"51867648\"]\n  30 [size=\"68259840\", alpha=\"0.15\", expect_size=\"34129920\"] \n  30 -> 31 [size =\"34129920\"]\n  31 [size=\"86468608\", alpha=\"0.13\", expect_size=\"43234304\"] \n  31 -> 32 [size =\"43234304\"]\n  32 [size=\"20185088\", alpha=\"0.09\", expect_size=\"10092544\"] \n  32 -> 33 [size =\"10092544\"]\n  33 [size=\"53954560\", alpha=\"0.11\", expect_size=\"26977280\"] \n  33 -> 34 [size =\"26977280\"]\n  34 [size=\"15714304\", alpha=\"0.09\", expect_size=\"7857152\"] \n  34 -> 35 [size =\"7857152\"]\n  35 [size=\"54476800\", alpha=\"0.08\", expect_size=\"27238400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41018027\", alpha=\"0.02\", expect_size=\"12305408\"] \n  1 -> 12 [size =\"12305408\"]\n  1 -> 21 [size =\"12305408\"]\n  1 -> 22 [size =\"12305408\"]\n  1 -> 24 [size =\"12305408\"]\n  2 [size=\"142138027\", alpha=\"0.18\", expect_size=\"42641408\"] \n  2 -> 13 [size =\"42641408\"]\n  2 -> 14 [size =\"42641408\"]\n  2 -> 17 [size =\"42641408\"]\n  2 -> 20 [size =\"42641408\"]\n  2 -> 21 [size =\"42641408\"]\n  3 [size=\"153879893\", alpha=\"0.10\", expect_size=\"46163968\"] \n  3 -> 12 [size =\"46163968\"]\n  3 -> 14 [size =\"46163968\"]\n  3 -> 16 [size =\"46163968\"]\n  3 -> 17 [size =\"46163968\"]\n  3 -> 19 [size =\"46163968\"]\n  3 -> 20 [size =\"46163968\"]\n  3 -> 21 [size =\"46163968\"]\n  4 [size=\"93781333\", alpha=\"0.04\", expect_size=\"28134400\"] \n  4 -> 14 [size =\"28134400\"]\n  4 -> 17 [size =\"28134400\"]\n  4 -> 23 [size =\"28134400\"]\n  5 [size=\"141523627\", alpha=\"0.03\", expect_size=\"42457088\"] \n  5 -> 17 [size =\"42457088\"]\n  5 -> 21 [size =\"42457088\"]\n  5 -> 23 [size =\"42457088\"]\n  6 [size=\"63726933\", alpha=\"0.09\", expect_size=\"19118080\"] \n  6 -> 13 [size =\"19118080\"]\n  6 -> 17 [size =\"19118080\"]\n  6 -> 18 [size =\"19118080\"]\n  6 -> 19 [size =\"19118080\"]\n  6 -> 21 [size =\"19118080\"]\n  6 -> 23 [size =\"19118080\"]\n  6 -> 24 [size =\"19118080\"]\n  7 [size=\"101003947\", alpha=\"0.15\", expect_size=\"30301184\"] \n  7 -> 15 [size =\"30301184\"]\n  7 -> 18 [size =\"30301184\"]\n  7 -> 19 [size =\"30301184\"]\n  7 -> 20 [size =\"30301184\"]\n  7 -> 21 [size =\"30301184\"]\n  7 -> 24 [size =\"30301184\"]\n  7 -> 24 [size =\"30301184\"]\n  8 [size=\"44253867\", alpha=\"0.05\", expect_size=\"13276160\"] \n  8 -> 15 [size =\"13276160\"]\n  8 -> 16 [size =\"13276160\"]\n  8 -> 18 [size =\"13276160\"]\n  8 -> 20 [size =\"13276160\"]\n  8 -> 21 [size =\"13276160\"]\n  8 -> 22 [size =\"13276160\"]\n  8 -> 23 [size =\"13276160\"]\n  8 -> 24 [size =\"13276160\"]\n  9 [size=\"113329493\", alpha=\"0.14\", expect_size=\"33998848\"] \n  9 -> 18 [size =\"33998848\"]\n  9 -> 22 [size =\"33998848\"]\n  9 -> 23 [size =\"33998848\"]\n  10 [size=\"165017600\", alpha=\"0.12\", expect_size=\"49505280\"] \n  10 -> 15 [size =\"49505280\"]\n  10 -> 16 [size =\"49505280\"]\n  10 -> 18 [size =\"49505280\"]\n  10 -> 20 [size =\"49505280\"]\n  10 -> 21 [size =\"49505280\"]\n  10 -> 23 [size =\"49505280\"]\n  11 [size=\"58214400\", alpha=\"0.17\", expect_size=\"17464320\"] \n  11 -> 14 [size =\"17464320\"]\n  11 -> 15 [size =\"17464320\"]\n  11 -> 17 [size =\"17464320\"]\n  12 [size=\"71010987\", alpha=\"0.19\", expect_size=\"21303296\"] \n  12 -> 25 [size =\"21303296\"]\n  12 -> 27 [size =\"21303296\"]\n  12 -> 29 [size =\"21303296\"]\n  12 -> 32 [size =\"21303296\"]\n  12 -> 35 [size =\"21303296\"]\n  13 [size=\"57074347\", alpha=\"0.07\", expect_size=\"17122304\"] \n  13 -> 25 [size =\"17122304\"]\n  13 -> 29 [size =\"17122304\"]\n  13 -> 30 [size =\"17122304\"]\n  13 -> 32 [size =\"17122304\"]\n  13 -> 34 [size =\"17122304\"]\n  14 [size=\"139035307\", alpha=\"0.16\", expect_size=\"41710592\"] \n  14 -> 25 [size =\"41710592\"]\n  15 [size=\"171267413\", alpha=\"0.18\", expect_size=\"51380224\"] \n  15 -> 25 [size =\"51380224\"]\n  15 -> 26 [size =\"51380224\"]\n  15 -> 28 [size =\"51380224\"]\n  15 -> 32 [size =\"51380224\"]\n  15 -> 34 [size =\"51380224\"]\n  16 [size=\"40383147\", alpha=\"0.01\", expect_size=\"12114944\"] \n  16 -> 25 [size =\"12114944\"]\n  16 -> 26 [size =\"12114944\"]\n  16 -> 27 [size =\"12114944\"]\n  16 -> 28 [size =\"12114944\"]\n  16 -> 31 [size =\"12114944\"]\n  16 -> 32 [size =\"12114944\"]\n  16 -> 34 [size =\"12114944\"]\n  16 -> 35 [size =\"12114944\"]\n  17 [size=\"114500267\", alpha=\"0.10\", expect_size=\"34350080\"] \n  17 -> 25 [size =\"34350080\"]\n  17 -> 26 [size =\"34350080\"]\n  17 -> 28 [size =\"34350080\"]\n  17 -> 29 [size =\"34350080\"]\n  17 -> 32 [size =\"34350080\"]\n  18 [size=\"75055787\", alpha=\"0.08\", expect_size=\"22516736\"] \n  18 -> 28 [size =\"22516736\"]\n  18 -> 29 [size =\"22516736\"]\n  18 -> 31 [size =\"22516736\"]\n  18 -> 32 [size =\"22516736\"]\n  18 -> 33 [size =\"22516736\"]\n  19 [size=\"112626347\", alpha=\"0.01\", expect_size=\"33787904\"] \n  19 -> 28 [size =\"33787904\"]\n  19 -> 29 [size =\"33787904\"]\n  19 -> 31 [size =\"33787904\"]\n  19 -> 34 [size =\"33787904\"]\n  20 [size=\"63351467\", alpha=\"0.02\", expect_size=\"19005440\"] \n  20 -> 25 [size =\"19005440\"]\n  20 -> 26 [size =\"19005440\"]\n  20 -> 27 [size =\"19005440\"]\n  20 -> 28 [size =\"19005440\"]\n  20 -> 29 [size =\"19005440\"]\n  20 -> 31 [size =\"19005440\"]\n  20 -> 32 [size =\"19005440\"]\n  20 -> 33 [size =\"19005440\"]\n  21 [size=\"158419627\", alpha=\"0.05\", expect_size=\"47525888\"] \n  21 -> 32 [size =\"47525888\"]\n  21 -> 33 [size =\"47525888\"]\n  22 [size=\"133662720\", alpha=\"0.05\", expect_size=\"40098816\"] \n  22 -> 28 [size =\"40098816\"]\n  22 -> 29 [size =\"40098816\"]\n  22 -> 33 [size =\"40098816\"]\n  22 -> 35 [size =\"40098816\"]\n  23 [size=\"124112213\", alpha=\"0.02\", expect_size=\"37233664\"] \n  23 -> 27 [size =\"37233664\"]\n  23 -> 29 [size =\"37233664\"]\n  23 -> 32 [size =\"37233664\"]\n  23 -> 34 [size =\"37233664\"]\n  24 [size=\"23173120\", alpha=\"0.08\", expect_size=\"6951936\"] \n  24 -> 25 [size =\"6951936\"]\n  24 -> 26 [size =\"6951936\"]\n  24 -> 27 [size =\"6951936\"]\n  24 -> 29 [size =\"6951936\"]\n  24 -> 32 [size =\"6951936\"]\n  24 -> 34 [size =\"6951936\"]\n  25 [size=\"147496960\", alpha=\"0.11\", expect_size=\"44249088\"] \n  26 [size=\"132256427\", alpha=\"0.19\", expect_size=\"39676928\"] \n  27 [size=\"136557227\", alpha=\"0.18\", expect_size=\"40967168\"] \n  28 [size=\"56541867\", alpha=\"0.00\", expect_size=\"16962560\"] \n  29 [size=\"115766613\", alpha=\"0.15\", expect_size=\"34729984\"] \n  30 [size=\"122275840\", alpha=\"0.08\", expect_size=\"36682752\"] \n  31 [size=\"134468267\", alpha=\"0.06\", expect_size=\"40340480\"] \n  32 [size=\"18595840\", alpha=\"0.12\", expect_size=\"5578752\"] \n  33 [size=\"56613547\", alpha=\"0.02\", expect_size=\"16984064\"] \n  34 [size=\"70348800\", alpha=\"0.08\", expect_size=\"21104640\"] \n  35 [size=\"136106667\", alpha=\"0.13\", expect_size=\"40832000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50763776\", alpha=\"0.02\", expect_size=\"25381888\"] \n  1 -> 29 [size =\"25381888\"]\n  1 -> 31 [size =\"25381888\"]\n  1 -> 32 [size =\"25381888\"]\n  1 -> 34 [size =\"25381888\"]\n  2 [size=\"59889664\", alpha=\"0.04\", expect_size=\"29944832\"] \n  2 -> 28 [size =\"29944832\"]\n  2 -> 31 [size =\"29944832\"]\n  2 -> 32 [size =\"29944832\"]\n  2 -> 34 [size =\"29944832\"]\n  3 [size=\"12638208\", alpha=\"0.19\", expect_size=\"6319104\"] \n  3 -> 27 [size =\"6319104\"]\n  3 -> 28 [size =\"6319104\"]\n  3 -> 32 [size =\"6319104\"]\n  3 -> 34 [size =\"6319104\"]\n  4 [size=\"90253312\", alpha=\"0.11\", expect_size=\"45126656\"] \n  4 -> 30 [size =\"45126656\"]\n  4 -> 32 [size =\"45126656\"]\n  4 -> 32 [size =\"45126656\"]\n  4 -> 34 [size =\"45126656\"]\n  5 [size=\"28260352\", alpha=\"0.20\", expect_size=\"14130176\"] \n  5 -> 28 [size =\"14130176\"]\n  5 -> 29 [size =\"14130176\"]\n  5 -> 30 [size =\"14130176\"]\n  5 -> 31 [size =\"14130176\"]\n  5 -> 32 [size =\"14130176\"]\n  5 -> 34 [size =\"14130176\"]\n  6 [size=\"76210176\", alpha=\"0.19\", expect_size=\"38105088\"] \n  6 -> 28 [size =\"38105088\"]\n  6 -> 30 [size =\"38105088\"]\n  6 -> 30 [size =\"38105088\"]\n  7 [size=\"68597760\", alpha=\"0.17\", expect_size=\"34298880\"] \n  7 -> 27 [size =\"34298880\"]\n  7 -> 28 [size =\"34298880\"]\n  7 -> 30 [size =\"34298880\"]\n  7 -> 31 [size =\"34298880\"]\n  8 [size=\"56827904\", alpha=\"0.17\", expect_size=\"28413952\"] \n  8 -> 28 [size =\"28413952\"]\n  8 -> 31 [size =\"28413952\"]\n  8 -> 34 [size =\"28413952\"]\n  9 [size=\"25368576\", alpha=\"0.17\", expect_size=\"12684288\"] \n  9 -> 30 [size =\"12684288\"]\n  9 -> 31 [size =\"12684288\"]\n  9 -> 34 [size =\"12684288\"]\n  10 [size=\"40058880\", alpha=\"0.09\", expect_size=\"20029440\"] \n  10 -> 29 [size =\"20029440\"]\n  10 -> 30 [size =\"20029440\"]\n  10 -> 31 [size =\"20029440\"]\n  10 -> 32 [size =\"20029440\"]\n  10 -> 34 [size =\"20029440\"]\n  11 [size=\"63043584\", alpha=\"0.15\", expect_size=\"31521792\"] \n  11 -> 29 [size =\"31521792\"]\n  11 -> 31 [size =\"31521792\"]\n  11 -> 32 [size =\"31521792\"]\n  12 [size=\"73039872\", alpha=\"0.15\", expect_size=\"36519936\"] \n  12 -> 29 [size =\"36519936\"]\n  12 -> 31 [size =\"36519936\"]\n  13 [size=\"90636288\", alpha=\"0.06\", expect_size=\"45318144\"] \n  13 -> 27 [size =\"45318144\"]\n  13 -> 28 [size =\"45318144\"]\n  13 -> 29 [size =\"45318144\"]\n  13 -> 30 [size =\"45318144\"]\n  13 -> 31 [size =\"45318144\"]\n  13 -> 33 [size =\"45318144\"]\n  13 -> 34 [size =\"45318144\"]\n  14 [size=\"84762624\", alpha=\"0.02\", expect_size=\"42381312\"] \n  14 -> 28 [size =\"42381312\"]\n  14 -> 29 [size =\"42381312\"]\n  14 -> 31 [size =\"42381312\"]\n  14 -> 32 [size =\"42381312\"]\n  15 [size=\"40951808\", alpha=\"0.16\", expect_size=\"20475904\"] \n  15 -> 29 [size =\"20475904\"]\n  15 -> 30 [size =\"20475904\"]\n  15 -> 32 [size =\"20475904\"]\n  15 -> 33 [size =\"20475904\"]\n  15 -> 34 [size =\"20475904\"]\n  16 [size=\"38705152\", alpha=\"0.19\", expect_size=\"19352576\"] \n  16 -> 29 [size =\"19352576\"]\n  16 -> 32 [size =\"19352576\"]\n  16 -> 34 [size =\"19352576\"]\n  17 [size=\"33859584\", alpha=\"0.12\", expect_size=\"16929792\"] \n  17 -> 28 [size =\"16929792\"]\n  17 -> 31 [size =\"16929792\"]\n  17 -> 32 [size =\"16929792\"]\n  18 [size=\"21667840\", alpha=\"0.05\", expect_size=\"10833920\"] \n  18 -> 28 [size =\"10833920\"]\n  18 -> 31 [size =\"10833920\"]\n  18 -> 32 [size =\"10833920\"]\n  18 -> 33 [size =\"10833920\"]\n  18 -> 34 [size =\"10833920\"]\n  19 [size=\"101492736\", alpha=\"0.15\", expect_size=\"50746368\"] \n  19 -> 28 [size =\"50746368\"]\n  19 -> 31 [size =\"50746368\"]\n  19 -> 34 [size =\"50746368\"]\n  19 -> 35 [size =\"50746368\"]\n  20 [size=\"87597056\", alpha=\"0.19\", expect_size=\"43798528\"] \n  20 -> 28 [size =\"43798528\"]\n  20 -> 29 [size =\"43798528\"]\n  20 -> 32 [size =\"43798528\"]\n  20 -> 33 [size =\"43798528\"]\n  21 [size=\"34930688\", alpha=\"0.11\", expect_size=\"17465344\"] \n  21 -> 28 [size =\"17465344\"]\n  21 -> 32 [size =\"17465344\"]\n  22 [size=\"104120320\", alpha=\"0.13\", expect_size=\"52060160\"] \n  22 -> 30 [size =\"52060160\"]\n  23 [size=\"80476160\", alpha=\"0.16\", expect_size=\"40238080\"] \n  23 -> 28 [size =\"40238080\"]\n  23 -> 29 [size =\"40238080\"]\n  23 -> 32 [size =\"40238080\"]\n  24 [size=\"13291520\", alpha=\"0.16\", expect_size=\"6645760\"] \n  24 -> 30 [size =\"6645760\"]\n  24 -> 32 [size =\"6645760\"]\n  24 -> 32 [size =\"6645760\"]\n  24 -> 34 [size =\"6645760\"]\n  25 [size=\"20680704\", alpha=\"0.20\", expect_size=\"10340352\"] \n  25 -> 28 [size =\"10340352\"]\n  25 -> 29 [size =\"10340352\"]\n  25 -> 33 [size =\"10340352\"]\n  25 -> 34 [size =\"10340352\"]\n  26 [size=\"95156224\", alpha=\"0.17\", expect_size=\"47578112\"] \n  26 -> 29 [size =\"47578112\"]\n  26 -> 29 [size =\"47578112\"]\n  26 -> 31 [size =\"47578112\"]\n  26 -> 34 [size =\"47578112\"]\n  27 [size=\"92628992\", alpha=\"0.07\", expect_size=\"46314496\"] \n  28 [size=\"56473600\", alpha=\"0.07\", expect_size=\"28236800\"] \n  29 [size=\"80173056\", alpha=\"0.10\", expect_size=\"40086528\"] \n  30 [size=\"57241600\", alpha=\"0.19\", expect_size=\"28620800\"] \n  31 [size=\"50933760\", alpha=\"0.19\", expect_size=\"25466880\"] \n  32 [size=\"101533696\", alpha=\"0.13\", expect_size=\"50766848\"] \n  33 [size=\"69699584\", alpha=\"0.03\", expect_size=\"34849792\"] \n  34 [size=\"51959808\", alpha=\"0.10\", expect_size=\"25979904\"] \n  35 [size=\"33708032\", alpha=\"0.02\", expect_size=\"16854016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101014187\", alpha=\"0.09\", expect_size=\"30304256\"] \n  1 -> 34 [size =\"30304256\"]\n  2 [size=\"90473813\", alpha=\"0.16\", expect_size=\"27142144\"] \n  2 -> 33 [size =\"27142144\"]\n  2 -> 34 [size =\"27142144\"]\n  3 [size=\"38345387\", alpha=\"0.19\", expect_size=\"11503616\"] \n  3 -> 34 [size =\"11503616\"]\n  3 -> 35 [size =\"11503616\"]\n  4 [size=\"122525013\", alpha=\"0.13\", expect_size=\"36757504\"] \n  4 -> 33 [size =\"36757504\"]\n  4 -> 34 [size =\"36757504\"]\n  4 -> 35 [size =\"36757504\"]\n  5 [size=\"44277760\", alpha=\"0.17\", expect_size=\"13283328\"] \n  5 -> 32 [size =\"13283328\"]\n  5 -> 34 [size =\"13283328\"]\n  6 [size=\"52681387\", alpha=\"0.05\", expect_size=\"15804416\"] \n  6 -> 32 [size =\"15804416\"]\n  6 -> 34 [size =\"15804416\"]\n  7 [size=\"58279253\", alpha=\"0.16\", expect_size=\"17483776\"] \n  7 -> 32 [size =\"17483776\"]\n  7 -> 35 [size =\"17483776\"]\n  8 [size=\"132662613\", alpha=\"0.16\", expect_size=\"39798784\"] \n  8 -> 33 [size =\"39798784\"]\n  8 -> 35 [size =\"39798784\"]\n  9 [size=\"108141227\", alpha=\"0.11\", expect_size=\"32442368\"] \n  10 [size=\"165399893\", alpha=\"0.07\", expect_size=\"49619968\"] \n  11 [size=\"19121493\", alpha=\"0.05\", expect_size=\"5736448\"] \n  12 [size=\"93726720\", alpha=\"0.10\", expect_size=\"28118016\"] \n  12 -> 32 [size =\"28118016\"]\n  12 -> 35 [size =\"28118016\"]\n  13 [size=\"58644480\", alpha=\"0.14\", expect_size=\"17593344\"] \n  13 -> 33 [size =\"17593344\"]\n  13 -> 34 [size =\"17593344\"]\n  14 [size=\"51906560\", alpha=\"0.06\", expect_size=\"15571968\"] \n  14 -> 33 [size =\"15571968\"]\n  14 -> 34 [size =\"15571968\"]\n  15 [size=\"152545280\", alpha=\"0.09\", expect_size=\"45763584\"] \n  15 -> 32 [size =\"45763584\"]\n  15 -> 34 [size =\"45763584\"]\n  15 -> 35 [size =\"45763584\"]\n  16 [size=\"127375360\", alpha=\"0.10\", expect_size=\"38212608\"] \n  16 -> 34 [size =\"38212608\"]\n  16 -> 34 [size =\"38212608\"]\n  17 [size=\"170298027\", alpha=\"0.15\", expect_size=\"51089408\"] \n  17 -> 34 [size =\"51089408\"]\n  18 [size=\"135215787\", alpha=\"0.17\", expect_size=\"40564736\"] \n  19 [size=\"104516267\", alpha=\"0.05\", expect_size=\"31354880\"] \n  19 -> 34 [size =\"31354880\"]\n  20 [size=\"31836160\", alpha=\"0.13\", expect_size=\"9550848\"] \n  20 -> 34 [size =\"9550848\"]\n  20 -> 35 [size =\"9550848\"]\n  21 [size=\"85835093\", alpha=\"0.11\", expect_size=\"25750528\"] \n  22 [size=\"128948907\", alpha=\"0.19\", expect_size=\"38684672\"] \n  23 [size=\"52114773\", alpha=\"0.10\", expect_size=\"15634432\"] \n  24 [size=\"165085867\", alpha=\"0.14\", expect_size=\"49525760\"] \n  24 -> 34 [size =\"49525760\"]\n  25 [size=\"56473600\", alpha=\"0.01\", expect_size=\"16942080\"] \n  25 -> 32 [size =\"16942080\"]\n  25 -> 34 [size =\"16942080\"]\n  26 [size=\"125300053\", alpha=\"0.13\", expect_size=\"37590016\"] \n  26 -> 34 [size =\"37590016\"]\n  27 [size=\"47534080\", alpha=\"0.10\", expect_size=\"14260224\"] \n  27 -> 34 [size =\"14260224\"]\n  27 -> 35 [size =\"14260224\"]\n  28 [size=\"166246400\", alpha=\"0.02\", expect_size=\"49873920\"] \n  28 -> 33 [size =\"49873920\"]\n  28 -> 34 [size =\"49873920\"]\n  28 -> 35 [size =\"49873920\"]\n  29 [size=\"141800107\", alpha=\"0.05\", expect_size=\"42540032\"] \n  29 -> 33 [size =\"42540032\"]\n  29 -> 34 [size =\"42540032\"]\n  30 [size=\"21811200\", alpha=\"0.07\", expect_size=\"6543360\"] \n  30 -> 33 [size =\"6543360\"]\n  31 [size=\"122511360\", alpha=\"0.10\", expect_size=\"36753408\"] \n  31 -> 33 [size =\"36753408\"]\n  31 -> 35 [size =\"36753408\"]\n  32 [size=\"55572480\", alpha=\"0.02\", expect_size=\"16671744\"] \n  33 [size=\"51288747\", alpha=\"0.19\", expect_size=\"15386624\"] \n  34 [size=\"130525867\", alpha=\"0.00\", expect_size=\"39157760\"] \n  35 [size=\"83759787\", alpha=\"0.19\", expect_size=\"25127936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77277867\", alpha=\"0.20\", expect_size=\"23183360\"] \n  1 -> 3 [size =\"23183360\"]\n  1 -> 4 [size =\"23183360\"]\n  1 -> 5 [size =\"23183360\"]\n  1 -> 6 [size =\"23183360\"]\n  1 -> 7 [size =\"23183360\"]\n  1 -> 8 [size =\"23183360\"]\n  2 [size=\"158825813\", alpha=\"0.03\", expect_size=\"47647744\"] \n  2 -> 4 [size =\"47647744\"]\n  2 -> 5 [size =\"47647744\"]\n  2 -> 6 [size =\"47647744\"]\n  2 -> 7 [size =\"47647744\"]\n  2 -> 8 [size =\"47647744\"]\n  3 [size=\"25811627\", alpha=\"0.15\", expect_size=\"7743488\"] \n  3 -> 9 [size =\"7743488\"]\n  3 -> 10 [size =\"7743488\"]\n  3 -> 11 [size =\"7743488\"]\n  3 -> 12 [size =\"7743488\"]\n  4 [size=\"89999360\", alpha=\"0.18\", expect_size=\"26999808\"] \n  4 -> 9 [size =\"26999808\"]\n  4 -> 10 [size =\"26999808\"]\n  5 [size=\"153603413\", alpha=\"0.10\", expect_size=\"46081024\"] \n  5 -> 9 [size =\"46081024\"]\n  5 -> 10 [size =\"46081024\"]\n  5 -> 11 [size =\"46081024\"]\n  5 -> 12 [size =\"46081024\"]\n  6 [size=\"105291093\", alpha=\"0.10\", expect_size=\"31587328\"] \n  6 -> 9 [size =\"31587328\"]\n  6 -> 11 [size =\"31587328\"]\n  6 -> 11 [size =\"31587328\"]\n  6 -> 12 [size =\"31587328\"]\n  6 -> 13 [size =\"31587328\"]\n  7 [size=\"142445227\", alpha=\"0.12\", expect_size=\"42733568\"] \n  7 -> 9 [size =\"42733568\"]\n  7 -> 10 [size =\"42733568\"]\n  7 -> 11 [size =\"42733568\"]\n  7 -> 12 [size =\"42733568\"]\n  8 [size=\"119418880\", alpha=\"0.10\", expect_size=\"35825664\"] \n  8 -> 9 [size =\"35825664\"]\n  8 -> 12 [size =\"35825664\"]\n  9 [size=\"62607360\", alpha=\"0.17\", expect_size=\"18782208\"] \n  9 -> 14 [size =\"18782208\"]\n  9 -> 15 [size =\"18782208\"]\n  10 [size=\"126887253\", alpha=\"0.04\", expect_size=\"38066176\"] \n  10 -> 14 [size =\"38066176\"]\n  11 [size=\"87132160\", alpha=\"0.14\", expect_size=\"26139648\"] \n  11 -> 14 [size =\"26139648\"]\n  11 -> 15 [size =\"26139648\"]\n  12 [size=\"86517760\", alpha=\"0.19\", expect_size=\"25955328\"] \n  12 -> 14 [size =\"25955328\"]\n  12 -> 15 [size =\"25955328\"]\n  13 [size=\"111534080\", alpha=\"0.13\", expect_size=\"33460224\"] \n  13 -> 14 [size =\"33460224\"]\n  13 -> 15 [size =\"33460224\"]\n  14 [size=\"73632427\", alpha=\"0.05\", expect_size=\"22089728\"] \n  14 -> 17 [size =\"22089728\"]\n  14 -> 18 [size =\"22089728\"]\n  14 -> 19 [size =\"22089728\"]\n  15 [size=\"59849387\", alpha=\"0.09\", expect_size=\"17954816\"] \n  15 -> 16 [size =\"17954816\"]\n  15 -> 18 [size =\"17954816\"]\n  15 -> 19 [size =\"17954816\"]\n  16 [size=\"136079360\", alpha=\"0.04\", expect_size=\"40823808\"] \n  16 -> 20 [size =\"40823808\"]\n  16 -> 21 [size =\"40823808\"]\n  17 [size=\"58746880\", alpha=\"0.19\", expect_size=\"17624064\"] \n  17 -> 20 [size =\"17624064\"]\n  17 -> 21 [size =\"17624064\"]\n  17 -> 22 [size =\"17624064\"]\n  18 [size=\"150490453\", alpha=\"0.14\", expect_size=\"45147136\"] \n  18 -> 20 [size =\"45147136\"]\n  18 -> 21 [size =\"45147136\"]\n  18 -> 22 [size =\"45147136\"]\n  19 [size=\"69133653\", alpha=\"0.11\", expect_size=\"20740096\"] \n  19 -> 20 [size =\"20740096\"]\n  19 -> 23 [size =\"20740096\"]\n  20 [size=\"42257067\", alpha=\"0.07\", expect_size=\"12677120\"] \n  20 -> 25 [size =\"12677120\"]\n  20 -> 27 [size =\"12677120\"]\n  20 -> 29 [size =\"12677120\"]\n  21 [size=\"73864533\", alpha=\"0.11\", expect_size=\"22159360\"] \n  21 -> 25 [size =\"22159360\"]\n  21 -> 26 [size =\"22159360\"]\n  21 -> 27 [size =\"22159360\"]\n  21 -> 30 [size =\"22159360\"]\n  22 [size=\"23971840\", alpha=\"0.12\", expect_size=\"7191552\"] \n  22 -> 25 [size =\"7191552\"]\n  22 -> 26 [size =\"7191552\"]\n  22 -> 27 [size =\"7191552\"]\n  22 -> 28 [size =\"7191552\"]\n  22 -> 29 [size =\"7191552\"]\n  22 -> 30 [size =\"7191552\"]\n  23 [size=\"170724693\", alpha=\"0.15\", expect_size=\"51217408\"] \n  23 -> 24 [size =\"51217408\"]\n  23 -> 25 [size =\"51217408\"]\n  23 -> 26 [size =\"51217408\"]\n  23 -> 27 [size =\"51217408\"]\n  23 -> 29 [size =\"51217408\"]\n  23 -> 30 [size =\"51217408\"]\n  24 [size=\"114793813\", alpha=\"0.07\", expect_size=\"34438144\"] \n  24 -> 31 [size =\"34438144\"]\n  24 -> 32 [size =\"34438144\"]\n  24 -> 33 [size =\"34438144\"]\n  24 -> 34 [size =\"34438144\"]\n  25 [size=\"154217813\", alpha=\"0.16\", expect_size=\"46265344\"] \n  25 -> 33 [size =\"46265344\"]\n  25 -> 34 [size =\"46265344\"]\n  26 [size=\"66877440\", alpha=\"0.17\", expect_size=\"20063232\"] \n  26 -> 31 [size =\"20063232\"]\n  26 -> 32 [size =\"20063232\"]\n  26 -> 33 [size =\"20063232\"]\n  26 -> 34 [size =\"20063232\"]\n  27 [size=\"101744640\", alpha=\"0.13\", expect_size=\"30523392\"] \n  27 -> 31 [size =\"30523392\"]\n  27 -> 32 [size =\"30523392\"]\n  27 -> 33 [size =\"30523392\"]\n  28 [size=\"95532373\", alpha=\"0.02\", expect_size=\"28659712\"] \n  28 -> 31 [size =\"28659712\"]\n  28 -> 32 [size =\"28659712\"]\n  28 -> 33 [size =\"28659712\"]\n  28 -> 34 [size =\"28659712\"]\n  29 [size=\"52155733\", alpha=\"0.17\", expect_size=\"15646720\"] \n  29 -> 31 [size =\"15646720\"]\n  29 -> 32 [size =\"15646720\"]\n  29 -> 33 [size =\"15646720\"]\n  29 -> 34 [size =\"15646720\"]\n  30 [size=\"140547413\", alpha=\"0.06\", expect_size=\"42164224\"] \n  30 -> 31 [size =\"42164224\"]\n  30 -> 32 [size =\"42164224\"]\n  30 -> 33 [size =\"42164224\"]\n  30 -> 34 [size =\"42164224\"]\n  31 [size=\"40325120\", alpha=\"0.04\", expect_size=\"12097536\"] \n  31 -> 35 [size =\"12097536\"]\n  32 [size=\"125863253\", alpha=\"0.10\", expect_size=\"37758976\"] \n  33 [size=\"66648747\", alpha=\"0.08\", expect_size=\"19994624\"] \n  33 -> 35 [size =\"19994624\"]\n  34 [size=\"28313600\", alpha=\"0.14\", expect_size=\"8494080\"] \n  34 -> 35 [size =\"8494080\"]\n  35 [size=\"83377493\", alpha=\"0.05\", expect_size=\"25013248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24412160\", alpha=\"0.11\", expect_size=\"12206080\"] \n  1 -> 2 [size =\"12206080\"]\n  2 [size=\"20647936\", alpha=\"0.12\", expect_size=\"10323968\"] \n  2 -> 3 [size =\"10323968\"]\n  3 [size=\"20508672\", alpha=\"0.06\", expect_size=\"10254336\"] \n  3 -> 4 [size =\"10254336\"]\n  4 [size=\"100810752\", alpha=\"0.15\", expect_size=\"50405376\"] \n  4 -> 5 [size =\"50405376\"]\n  5 [size=\"13137920\", alpha=\"0.12\", expect_size=\"6568960\"] \n  5 -> 6 [size =\"6568960\"]\n  6 [size=\"53297152\", alpha=\"0.12\", expect_size=\"26648576\"] \n  6 -> 7 [size =\"26648576\"]\n  7 [size=\"62199808\", alpha=\"0.12\", expect_size=\"31099904\"] \n  7 -> 8 [size =\"31099904\"]\n  8 [size=\"36638720\", alpha=\"0.16\", expect_size=\"18319360\"] \n  8 -> 9 [size =\"18319360\"]\n  9 [size=\"28735488\", alpha=\"0.13\", expect_size=\"14367744\"] \n  9 -> 10 [size =\"14367744\"]\n  10 [size=\"43497472\", alpha=\"0.16\", expect_size=\"21748736\"] \n  10 -> 11 [size =\"21748736\"]\n  11 [size=\"31150080\", alpha=\"0.15\", expect_size=\"15575040\"] \n  11 -> 12 [size =\"15575040\"]\n  12 [size=\"83290112\", alpha=\"0.02\", expect_size=\"41645056\"] \n  12 -> 13 [size =\"41645056\"]\n  13 [size=\"45563904\", alpha=\"0.15\", expect_size=\"22781952\"] \n  13 -> 14 [size =\"22781952\"]\n  14 [size=\"73836544\", alpha=\"0.01\", expect_size=\"36918272\"] \n  14 -> 15 [size =\"36918272\"]\n  15 [size=\"52121600\", alpha=\"0.03\", expect_size=\"26060800\"] \n  15 -> 16 [size =\"26060800\"]\n  16 [size=\"15841280\", alpha=\"0.05\", expect_size=\"7920640\"] \n  16 -> 17 [size =\"7920640\"]\n  17 [size=\"71305216\", alpha=\"0.13\", expect_size=\"35652608\"] \n  17 -> 18 [size =\"35652608\"]\n  18 [size=\"33900544\", alpha=\"0.09\", expect_size=\"16950272\"] \n  18 -> 19 [size =\"16950272\"]\n  19 [size=\"13879296\", alpha=\"0.19\", expect_size=\"6939648\"] \n  19 -> 20 [size =\"6939648\"]\n  20 [size=\"76822528\", alpha=\"0.18\", expect_size=\"38411264\"] \n  20 -> 21 [size =\"38411264\"]\n  21 [size=\"57057280\", alpha=\"0.19\", expect_size=\"28528640\"] \n  21 -> 22 [size =\"28528640\"]\n  22 [size=\"34865152\", alpha=\"0.03\", expect_size=\"17432576\"] \n  22 -> 23 [size =\"17432576\"]\n  23 [size=\"44103680\", alpha=\"0.09\", expect_size=\"22051840\"] \n  23 -> 24 [size =\"22051840\"]\n  24 [size=\"20631552\", alpha=\"0.15\", expect_size=\"10315776\"] \n  24 -> 25 [size =\"10315776\"]\n  25 [size=\"25112576\", alpha=\"0.00\", expect_size=\"12556288\"] \n  25 -> 26 [size =\"12556288\"]\n  26 [size=\"37543936\", alpha=\"0.15\", expect_size=\"18771968\"] \n  26 -> 27 [size =\"18771968\"]\n  27 [size=\"63338496\", alpha=\"0.01\", expect_size=\"31669248\"] \n  27 -> 28 [size =\"31669248\"]\n  28 [size=\"29540352\", alpha=\"0.12\", expect_size=\"14770176\"] \n  28 -> 29 [size =\"14770176\"]\n  29 [size=\"70854656\", alpha=\"0.07\", expect_size=\"35427328\"] \n  29 -> 30 [size =\"35427328\"]\n  30 [size=\"65527808\", alpha=\"0.10\", expect_size=\"32763904\"] \n  30 -> 31 [size =\"32763904\"]\n  31 [size=\"54560768\", alpha=\"0.16\", expect_size=\"27280384\"] \n  31 -> 32 [size =\"27280384\"]\n  32 [size=\"51877888\", alpha=\"0.18\", expect_size=\"25938944\"] \n  32 -> 33 [size =\"25938944\"]\n  33 [size=\"67645440\", alpha=\"0.08\", expect_size=\"33822720\"] \n  33 -> 34 [size =\"33822720\"]\n  34 [size=\"17512448\", alpha=\"0.10\", expect_size=\"8756224\"] \n  34 -> 35 [size =\"8756224\"]\n  35 [size=\"86177792\", alpha=\"0.02\", expect_size=\"43088896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17577984\", alpha=\"0.08\", expect_size=\"8788992\"] \n  1 -> 16 [size =\"8788992\"]\n  1 -> 19 [size =\"8788992\"]\n  1 -> 23 [size =\"8788992\"]\n  2 [size=\"61716480\", alpha=\"0.14\", expect_size=\"30858240\"] \n  2 -> 16 [size =\"30858240\"]\n  2 -> 21 [size =\"30858240\"]\n  2 -> 22 [size =\"30858240\"]\n  3 [size=\"58492928\", alpha=\"0.20\", expect_size=\"29246464\"] \n  3 -> 16 [size =\"29246464\"]\n  3 -> 18 [size =\"29246464\"]\n  3 -> 19 [size =\"29246464\"]\n  4 [size=\"52387840\", alpha=\"0.18\", expect_size=\"26193920\"] \n  4 -> 17 [size =\"26193920\"]\n  4 -> 19 [size =\"26193920\"]\n  4 -> 19 [size =\"26193920\"]\n  4 -> 22 [size =\"26193920\"]\n  5 [size=\"50286592\", alpha=\"0.14\", expect_size=\"25143296\"] \n  5 -> 14 [size =\"25143296\"]\n  5 -> 16 [size =\"25143296\"]\n  5 -> 20 [size =\"25143296\"]\n  5 -> 22 [size =\"25143296\"]\n  6 [size=\"32618496\", alpha=\"0.01\", expect_size=\"16309248\"] \n  6 -> 18 [size =\"16309248\"]\n  7 [size=\"56031232\", alpha=\"0.09\", expect_size=\"28015616\"] \n  7 -> 19 [size =\"28015616\"]\n  7 -> 21 [size =\"28015616\"]\n  8 [size=\"73467904\", alpha=\"0.01\", expect_size=\"36733952\"] \n  9 [size=\"17793024\", alpha=\"0.02\", expect_size=\"8896512\"] \n  9 -> 15 [size =\"8896512\"]\n  9 -> 17 [size =\"8896512\"]\n  9 -> 22 [size =\"8896512\"]\n  10 [size=\"13346816\", alpha=\"0.09\", expect_size=\"6673408\"] \n  10 -> 17 [size =\"6673408\"]\n  11 [size=\"93403136\", alpha=\"0.05\", expect_size=\"46701568\"] \n  11 -> 15 [size =\"46701568\"]\n  11 -> 17 [size =\"46701568\"]\n  12 [size=\"36790272\", alpha=\"0.14\", expect_size=\"18395136\"] \n  12 -> 16 [size =\"18395136\"]\n  12 -> 17 [size =\"18395136\"]\n  12 -> 19 [size =\"18395136\"]\n  12 -> 21 [size =\"18395136\"]\n  13 [size=\"103892992\", alpha=\"0.07\", expect_size=\"51946496\"] \n  13 -> 16 [size =\"51946496\"]\n  13 -> 18 [size =\"51946496\"]\n  13 -> 21 [size =\"51946496\"]\n  14 [size=\"103434240\", alpha=\"0.19\", expect_size=\"51717120\"] \n  14 -> 26 [size =\"51717120\"]\n  14 -> 34 [size =\"51717120\"]\n  15 [size=\"92274688\", alpha=\"0.05\", expect_size=\"46137344\"] \n  15 -> 25 [size =\"46137344\"]\n  16 [size=\"66150400\", alpha=\"0.19\", expect_size=\"33075200\"] \n  16 -> 29 [size =\"33075200\"]\n  16 -> 32 [size =\"33075200\"]\n  17 [size=\"72802304\", alpha=\"0.08\", expect_size=\"36401152\"] \n  17 -> 28 [size =\"36401152\"]\n  17 -> 29 [size =\"36401152\"]\n  17 -> 31 [size =\"36401152\"]\n  17 -> 34 [size =\"36401152\"]\n  18 [size=\"22165504\", alpha=\"0.05\", expect_size=\"11082752\"] \n  18 -> 28 [size =\"11082752\"]\n  18 -> 29 [size =\"11082752\"]\n  18 -> 30 [size =\"11082752\"]\n  18 -> 31 [size =\"11082752\"]\n  18 -> 33 [size =\"11082752\"]\n  19 [size=\"27979776\", alpha=\"0.11\", expect_size=\"13989888\"] \n  19 -> 27 [size =\"13989888\"]\n  19 -> 28 [size =\"13989888\"]\n  19 -> 29 [size =\"13989888\"]\n  19 -> 31 [size =\"13989888\"]\n  19 -> 32 [size =\"13989888\"]\n  19 -> 34 [size =\"13989888\"]\n  20 [size=\"36970496\", alpha=\"0.18\", expect_size=\"18485248\"] \n  20 -> 28 [size =\"18485248\"]\n  20 -> 28 [size =\"18485248\"]\n  20 -> 34 [size =\"18485248\"]\n  21 [size=\"78690304\", alpha=\"0.07\", expect_size=\"39345152\"] \n  21 -> 29 [size =\"39345152\"]\n  22 [size=\"100472832\", alpha=\"0.07\", expect_size=\"50236416\"] \n  22 -> 26 [size =\"50236416\"]\n  22 -> 27 [size =\"50236416\"]\n  22 -> 30 [size =\"50236416\"]\n  22 -> 33 [size =\"50236416\"]\n  23 [size=\"71786496\", alpha=\"0.16\", expect_size=\"35893248\"] \n  23 -> 24 [size =\"35893248\"]\n  23 -> 27 [size =\"35893248\"]\n  23 -> 30 [size =\"35893248\"]\n  24 [size=\"103364608\", alpha=\"0.15\", expect_size=\"51682304\"] \n  25 [size=\"98990080\", alpha=\"0.02\", expect_size=\"49495040\"] \n  26 [size=\"29298688\", alpha=\"0.14\", expect_size=\"14649344\"] \n  27 [size=\"24842240\", alpha=\"0.15\", expect_size=\"12421120\"] \n  27 -> 35 [size =\"12421120\"]\n  28 [size=\"63385600\", alpha=\"0.10\", expect_size=\"31692800\"] \n  29 [size=\"85897216\", alpha=\"0.07\", expect_size=\"42948608\"] \n  30 [size=\"43917312\", alpha=\"0.04\", expect_size=\"21958656\"] \n  30 -> 35 [size =\"21958656\"]\n  31 [size=\"36143104\", alpha=\"0.18\", expect_size=\"18071552\"] \n  32 [size=\"69670912\", alpha=\"0.18\", expect_size=\"34835456\"] \n  33 [size=\"101357568\", alpha=\"0.18\", expect_size=\"50678784\"] \n  34 [size=\"84840448\", alpha=\"0.18\", expect_size=\"42420224\"] \n  35 [size=\"62025728\", alpha=\"0.15\", expect_size=\"31012864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167168000\", alpha=\"0.19\", expect_size=\"50150400\"] \n  1 -> 27 [size =\"50150400\"]\n  1 -> 29 [size =\"50150400\"]\n  1 -> 34 [size =\"50150400\"]\n  2 [size=\"132297387\", alpha=\"0.13\", expect_size=\"39689216\"] \n  2 -> 24 [size =\"39689216\"]\n  2 -> 33 [size =\"39689216\"]\n  3 [size=\"108045653\", alpha=\"0.11\", expect_size=\"32413696\"] \n  3 -> 27 [size =\"32413696\"]\n  3 -> 30 [size =\"32413696\"]\n  3 -> 32 [size =\"32413696\"]\n  3 -> 33 [size =\"32413696\"]\n  4 [size=\"90159787\", alpha=\"0.01\", expect_size=\"27047936\"] \n  4 -> 25 [size =\"27047936\"]\n  4 -> 29 [size =\"27047936\"]\n  4 -> 32 [size =\"27047936\"]\n  4 -> 33 [size =\"27047936\"]\n  5 [size=\"33525760\", alpha=\"0.16\", expect_size=\"10057728\"] \n  5 -> 25 [size =\"10057728\"]\n  5 -> 31 [size =\"10057728\"]\n  5 -> 32 [size =\"10057728\"]\n  5 -> 33 [size =\"10057728\"]\n  5 -> 35 [size =\"10057728\"]\n  6 [size=\"149029547\", alpha=\"0.11\", expect_size=\"44708864\"] \n  6 -> 30 [size =\"44708864\"]\n  6 -> 32 [size =\"44708864\"]\n  6 -> 32 [size =\"44708864\"]\n  7 [size=\"148995413\", alpha=\"0.08\", expect_size=\"44698624\"] \n  7 -> 24 [size =\"44698624\"]\n  7 -> 29 [size =\"44698624\"]\n  8 [size=\"48677547\", alpha=\"0.13\", expect_size=\"14603264\"] \n  8 -> 29 [size =\"14603264\"]\n  8 -> 33 [size =\"14603264\"]\n  9 [size=\"56883200\", alpha=\"0.15\", expect_size=\"17064960\"] \n  9 -> 24 [size =\"17064960\"]\n  9 -> 25 [size =\"17064960\"]\n  10 [size=\"166219093\", alpha=\"0.19\", expect_size=\"49865728\"] \n  10 -> 24 [size =\"49865728\"]\n  10 -> 25 [size =\"49865728\"]\n  10 -> 27 [size =\"49865728\"]\n  10 -> 33 [size =\"49865728\"]\n  11 [size=\"146182827\", alpha=\"0.18\", expect_size=\"43854848\"] \n  11 -> 29 [size =\"43854848\"]\n  12 [size=\"137369600\", alpha=\"0.01\", expect_size=\"41210880\"] \n  12 -> 23 [size =\"41210880\"]\n  12 -> 25 [size =\"41210880\"]\n  12 -> 26 [size =\"41210880\"]\n  13 [size=\"79776427\", alpha=\"0.09\", expect_size=\"23932928\"] \n  13 -> 23 [size =\"23932928\"]\n  13 -> 27 [size =\"23932928\"]\n  13 -> 32 [size =\"23932928\"]\n  14 [size=\"162942293\", alpha=\"0.14\", expect_size=\"48882688\"] \n  14 -> 23 [size =\"48882688\"]\n  14 -> 25 [size =\"48882688\"]\n  14 -> 32 [size =\"48882688\"]\n  14 -> 34 [size =\"48882688\"]\n  15 [size=\"170625707\", alpha=\"0.00\", expect_size=\"51187712\"] \n  15 -> 27 [size =\"51187712\"]\n  15 -> 28 [size =\"51187712\"]\n  15 -> 32 [size =\"51187712\"]\n  15 -> 34 [size =\"51187712\"]\n  15 -> 35 [size =\"51187712\"]\n  16 [size=\"137041920\", alpha=\"0.13\", expect_size=\"41112576\"] \n  16 -> 23 [size =\"41112576\"]\n  16 -> 26 [size =\"41112576\"]\n  16 -> 28 [size =\"41112576\"]\n  16 -> 34 [size =\"41112576\"]\n  17 [size=\"67829760\", alpha=\"0.06\", expect_size=\"20348928\"] \n  17 -> 25 [size =\"20348928\"]\n  17 -> 26 [size =\"20348928\"]\n  17 -> 34 [size =\"20348928\"]\n  18 [size=\"129204907\", alpha=\"0.05\", expect_size=\"38761472\"] \n  18 -> 29 [size =\"38761472\"]\n  19 [size=\"70727680\", alpha=\"0.14\", expect_size=\"21218304\"] \n  19 -> 23 [size =\"21218304\"]\n  19 -> 31 [size =\"21218304\"]\n  19 -> 33 [size =\"21218304\"]\n  20 [size=\"33747627\", alpha=\"0.10\", expect_size=\"10124288\"] \n  20 -> 23 [size =\"10124288\"]\n  20 -> 25 [size =\"10124288\"]\n  20 -> 26 [size =\"10124288\"]\n  20 -> 27 [size =\"10124288\"]\n  20 -> 33 [size =\"10124288\"]\n  21 [size=\"23466667\", alpha=\"0.06\", expect_size=\"7040000\"] \n  21 -> 23 [size =\"7040000\"]\n  21 -> 30 [size =\"7040000\"]\n  21 -> 32 [size =\"7040000\"]\n  21 -> 33 [size =\"7040000\"]\n  21 -> 34 [size =\"7040000\"]\n  22 [size=\"168669867\", alpha=\"0.16\", expect_size=\"50600960\"] \n  22 -> 24 [size =\"50600960\"]\n  22 -> 25 [size =\"50600960\"]\n  22 -> 27 [size =\"50600960\"]\n  22 -> 30 [size =\"50600960\"]\n  22 -> 32 [size =\"50600960\"]\n  22 -> 34 [size =\"50600960\"]\n  23 [size=\"18503680\", alpha=\"0.18\", expect_size=\"5551104\"] \n  24 [size=\"85428907\", alpha=\"0.08\", expect_size=\"25628672\"] \n  25 [size=\"41850880\", alpha=\"0.01\", expect_size=\"12555264\"] \n  26 [size=\"45544107\", alpha=\"0.11\", expect_size=\"13663232\"] \n  27 [size=\"145035947\", alpha=\"0.18\", expect_size=\"43510784\"] \n  28 [size=\"36621653\", alpha=\"0.08\", expect_size=\"10986496\"] \n  29 [size=\"73175040\", alpha=\"0.03\", expect_size=\"21952512\"] \n  30 [size=\"23442773\", alpha=\"0.18\", expect_size=\"7032832\"] \n  31 [size=\"103601493\", alpha=\"0.08\", expect_size=\"31080448\"] \n  32 [size=\"148773547\", alpha=\"0.14\", expect_size=\"44632064\"] \n  33 [size=\"116493653\", alpha=\"0.08\", expect_size=\"34948096\"] \n  34 [size=\"97334613\", alpha=\"0.00\", expect_size=\"29200384\"] \n  35 [size=\"163986773\", alpha=\"0.12\", expect_size=\"49196032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18803200\", alpha=\"0.16\", expect_size=\"7521280\"] \n  1 -> 6 [size =\"7521280\"]\n  1 -> 7 [size =\"7521280\"]\n  1 -> 8 [size =\"7521280\"]\n  2 [size=\"24727040\", alpha=\"0.02\", expect_size=\"9890816\"] \n  3 [size=\"38812160\", alpha=\"0.07\", expect_size=\"15524864\"] \n  3 -> 5 [size =\"15524864\"]\n  4 [size=\"71283200\", alpha=\"0.09\", expect_size=\"28513280\"] \n  4 -> 6 [size =\"28513280\"]\n  4 -> 7 [size =\"28513280\"]\n  5 [size=\"46581760\", alpha=\"0.19\", expect_size=\"18632704\"] \n  5 -> 11 [size =\"18632704\"]\n  6 [size=\"116584960\", alpha=\"0.13\", expect_size=\"46633984\"] \n  6 -> 9 [size =\"46633984\"]\n  6 -> 10 [size =\"46633984\"]\n  7 [size=\"111928320\", alpha=\"0.01\", expect_size=\"44771328\"] \n  7 -> 9 [size =\"44771328\"]\n  7 -> 10 [size =\"44771328\"]\n  8 [size=\"78202880\", alpha=\"0.05\", expect_size=\"31281152\"] \n  8 -> 9 [size =\"31281152\"]\n  8 -> 10 [size =\"31281152\"]\n  9 [size=\"84715520\", alpha=\"0.11\", expect_size=\"33886208\"] \n  9 -> 12 [size =\"33886208\"]\n  10 [size=\"45716480\", alpha=\"0.16\", expect_size=\"18286592\"] \n  10 -> 13 [size =\"18286592\"]\n  11 [size=\"126400000\", alpha=\"0.07\", expect_size=\"50560000\"] \n  11 -> 14 [size =\"50560000\"]\n  12 [size=\"100725760\", alpha=\"0.10\", expect_size=\"40290304\"] \n  12 -> 16 [size =\"40290304\"]\n  12 -> 17 [size =\"40290304\"]\n  12 -> 18 [size =\"40290304\"]\n  13 [size=\"110264320\", alpha=\"0.03\", expect_size=\"44105728\"] \n  13 -> 16 [size =\"44105728\"]\n  14 [size=\"34713600\", alpha=\"0.00\", expect_size=\"13885440\"] \n  14 -> 15 [size =\"13885440\"]\n  14 -> 17 [size =\"13885440\"]\n  15 [size=\"90667520\", alpha=\"0.06\", expect_size=\"36267008\"] \n  15 -> 19 [size =\"36267008\"]\n  15 -> 20 [size =\"36267008\"]\n  15 -> 22 [size =\"36267008\"]\n  15 -> 23 [size =\"36267008\"]\n  16 [size=\"82721280\", alpha=\"0.08\", expect_size=\"33088512\"] \n  16 -> 20 [size =\"33088512\"]\n  16 -> 21 [size =\"33088512\"]\n  17 [size=\"42667520\", alpha=\"0.16\", expect_size=\"17067008\"] \n  17 -> 23 [size =\"17067008\"]\n  18 [size=\"49960960\", alpha=\"0.13\", expect_size=\"19984384\"] \n  18 -> 19 [size =\"19984384\"]\n  18 -> 22 [size =\"19984384\"]\n  18 -> 23 [size =\"19984384\"]\n  19 [size=\"80437760\", alpha=\"0.12\", expect_size=\"32175104\"] \n  19 -> 25 [size =\"32175104\"]\n  19 -> 26 [size =\"32175104\"]\n  19 -> 28 [size =\"32175104\"]\n  20 [size=\"29460480\", alpha=\"0.08\", expect_size=\"11784192\"] \n  20 -> 24 [size =\"11784192\"]\n  20 -> 25 [size =\"11784192\"]\n  20 -> 26 [size =\"11784192\"]\n  20 -> 27 [size =\"11784192\"]\n  21 [size=\"122513920\", alpha=\"0.05\", expect_size=\"49005568\"] \n  21 -> 24 [size =\"49005568\"]\n  21 -> 25 [size =\"49005568\"]\n  21 -> 29 [size =\"49005568\"]\n  22 [size=\"43855360\", alpha=\"0.04\", expect_size=\"17542144\"] \n  22 -> 26 [size =\"17542144\"]\n  22 -> 27 [size =\"17542144\"]\n  23 [size=\"100702720\", alpha=\"0.07\", expect_size=\"40281088\"] \n  23 -> 24 [size =\"40281088\"]\n  23 -> 25 [size =\"40281088\"]\n  23 -> 26 [size =\"40281088\"]\n  23 -> 28 [size =\"40281088\"]\n  23 -> 29 [size =\"40281088\"]\n  24 [size=\"115737600\", alpha=\"0.01\", expect_size=\"46295040\"] \n  25 [size=\"116503040\", alpha=\"0.19\", expect_size=\"46601216\"] \n  25 -> 33 [size =\"46601216\"]\n  26 [size=\"33597440\", alpha=\"0.16\", expect_size=\"13438976\"] \n  26 -> 31 [size =\"13438976\"]\n  26 -> 32 [size =\"13438976\"]\n  26 -> 33 [size =\"13438976\"]\n  27 [size=\"78231040\", alpha=\"0.09\", expect_size=\"31292416\"] \n  27 -> 31 [size =\"31292416\"]\n  27 -> 32 [size =\"31292416\"]\n  27 -> 33 [size =\"31292416\"]\n  28 [size=\"57233920\", alpha=\"0.13\", expect_size=\"22893568\"] \n  28 -> 32 [size =\"22893568\"]\n  28 -> 32 [size =\"22893568\"]\n  28 -> 33 [size =\"22893568\"]\n  29 [size=\"16104960\", alpha=\"0.09\", expect_size=\"6441984\"] \n  29 -> 30 [size =\"6441984\"]\n  29 -> 31 [size =\"6441984\"]\n  29 -> 33 [size =\"6441984\"]\n  30 [size=\"87895040\", alpha=\"0.11\", expect_size=\"35158016\"] \n  30 -> 34 [size =\"35158016\"]\n  31 [size=\"18160640\", alpha=\"0.12\", expect_size=\"7264256\"] \n  32 [size=\"48529920\", alpha=\"0.08\", expect_size=\"19411968\"] \n  32 -> 34 [size =\"19411968\"]\n  33 [size=\"72655360\", alpha=\"0.01\", expect_size=\"29062144\"] \n  33 -> 34 [size =\"29062144\"]\n  33 -> 35 [size =\"29062144\"]\n  34 [size=\"116247040\", alpha=\"0.17\", expect_size=\"46498816\"] \n  35 [size=\"119511040\", alpha=\"0.06\", expect_size=\"47804416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38348800\", alpha=\"0.01\", expect_size=\"19174400\"] \n  1 -> 5 [size =\"19174400\"]\n  1 -> 6 [size =\"19174400\"]\n  1 -> 7 [size =\"19174400\"]\n  1 -> 8 [size =\"19174400\"]\n  2 [size=\"67745792\", alpha=\"0.05\", expect_size=\"33872896\"] \n  2 -> 6 [size =\"33872896\"]\n  2 -> 7 [size =\"33872896\"]\n  2 -> 8 [size =\"33872896\"]\n  3 [size=\"63809536\", alpha=\"0.10\", expect_size=\"31904768\"] \n  3 -> 6 [size =\"31904768\"]\n  3 -> 7 [size =\"31904768\"]\n  3 -> 8 [size =\"31904768\"]\n  4 [size=\"47247360\", alpha=\"0.14\", expect_size=\"23623680\"] \n  4 -> 6 [size =\"23623680\"]\n  4 -> 7 [size =\"23623680\"]\n  5 [size=\"69107712\", alpha=\"0.14\", expect_size=\"34553856\"] \n  5 -> 11 [size =\"34553856\"]\n  5 -> 12 [size =\"34553856\"]\n  5 -> 13 [size =\"34553856\"]\n  6 [size=\"74450944\", alpha=\"0.01\", expect_size=\"37225472\"] \n  6 -> 11 [size =\"37225472\"]\n  6 -> 12 [size =\"37225472\"]\n  6 -> 13 [size =\"37225472\"]\n  7 [size=\"65589248\", alpha=\"0.03\", expect_size=\"32794624\"] \n  7 -> 9 [size =\"32794624\"]\n  7 -> 10 [size =\"32794624\"]\n  7 -> 11 [size =\"32794624\"]\n  7 -> 12 [size =\"32794624\"]\n  8 [size=\"28854272\", alpha=\"0.05\", expect_size=\"14427136\"] \n  8 -> 11 [size =\"14427136\"]\n  8 -> 12 [size =\"14427136\"]\n  8 -> 13 [size =\"14427136\"]\n  9 [size=\"31133696\", alpha=\"0.00\", expect_size=\"15566848\"] \n  9 -> 14 [size =\"15566848\"]\n  9 -> 15 [size =\"15566848\"]\n  9 -> 17 [size =\"15566848\"]\n  9 -> 18 [size =\"15566848\"]\n  10 [size=\"95240192\", alpha=\"0.11\", expect_size=\"47620096\"] \n  10 -> 16 [size =\"47620096\"]\n  10 -> 17 [size =\"47620096\"]\n  11 [size=\"77602816\", alpha=\"0.06\", expect_size=\"38801408\"] \n  11 -> 14 [size =\"38801408\"]\n  11 -> 16 [size =\"38801408\"]\n  12 [size=\"83808256\", alpha=\"0.14\", expect_size=\"41904128\"] \n  12 -> 17 [size =\"41904128\"]\n  13 [size=\"13504512\", alpha=\"0.07\", expect_size=\"6752256\"] \n  13 -> 16 [size =\"6752256\"]\n  13 -> 17 [size =\"6752256\"]\n  13 -> 18 [size =\"6752256\"]\n  14 [size=\"61822976\", alpha=\"0.04\", expect_size=\"30911488\"] \n  14 -> 20 [size =\"30911488\"]\n  14 -> 21 [size =\"30911488\"]\n  15 [size=\"34115584\", alpha=\"0.02\", expect_size=\"17057792\"] \n  15 -> 19 [size =\"17057792\"]\n  15 -> 20 [size =\"17057792\"]\n  15 -> 21 [size =\"17057792\"]\n  16 [size=\"100225024\", alpha=\"0.09\", expect_size=\"50112512\"] \n  16 -> 19 [size =\"50112512\"]\n  16 -> 20 [size =\"50112512\"]\n  16 -> 21 [size =\"50112512\"]\n  16 -> 22 [size =\"50112512\"]\n  17 [size=\"104413184\", alpha=\"0.13\", expect_size=\"52206592\"] \n  17 -> 19 [size =\"52206592\"]\n  17 -> 20 [size =\"52206592\"]\n  17 -> 21 [size =\"52206592\"]\n  17 -> 22 [size =\"52206592\"]\n  18 [size=\"22665216\", alpha=\"0.19\", expect_size=\"11332608\"] \n  18 -> 20 [size =\"11332608\"]\n  18 -> 21 [size =\"11332608\"]\n  18 -> 22 [size =\"11332608\"]\n  18 -> 23 [size =\"11332608\"]\n  19 [size=\"44990464\", alpha=\"0.18\", expect_size=\"22495232\"] \n  19 -> 24 [size =\"22495232\"]\n  19 -> 25 [size =\"22495232\"]\n  19 -> 26 [size =\"22495232\"]\n  19 -> 27 [size =\"22495232\"]\n  19 -> 28 [size =\"22495232\"]\n  20 [size=\"45459456\", alpha=\"0.09\", expect_size=\"22729728\"] \n  20 -> 25 [size =\"22729728\"]\n  20 -> 25 [size =\"22729728\"]\n  20 -> 26 [size =\"22729728\"]\n  20 -> 27 [size =\"22729728\"]\n  20 -> 28 [size =\"22729728\"]\n  21 [size=\"99276800\", alpha=\"0.06\", expect_size=\"49638400\"] \n  21 -> 26 [size =\"49638400\"]\n  21 -> 27 [size =\"49638400\"]\n  21 -> 28 [size =\"49638400\"]\n  22 [size=\"32086016\", alpha=\"0.15\", expect_size=\"16043008\"] \n  22 -> 24 [size =\"16043008\"]\n  22 -> 25 [size =\"16043008\"]\n  22 -> 26 [size =\"16043008\"]\n  22 -> 27 [size =\"16043008\"]\n  22 -> 28 [size =\"16043008\"]\n  23 [size=\"97120256\", alpha=\"0.15\", expect_size=\"48560128\"] \n  23 -> 24 [size =\"48560128\"]\n  23 -> 25 [size =\"48560128\"]\n  23 -> 26 [size =\"48560128\"]\n  23 -> 27 [size =\"48560128\"]\n  23 -> 28 [size =\"48560128\"]\n  24 [size=\"33527808\", alpha=\"0.04\", expect_size=\"16763904\"] \n  24 -> 29 [size =\"16763904\"]\n  24 -> 31 [size =\"16763904\"]\n  24 -> 32 [size =\"16763904\"]\n  24 -> 33 [size =\"16763904\"]\n  25 [size=\"52924416\", alpha=\"0.04\", expect_size=\"26462208\"] \n  25 -> 29 [size =\"26462208\"]\n  25 -> 31 [size =\"26462208\"]\n  25 -> 33 [size =\"26462208\"]\n  26 [size=\"62119936\", alpha=\"0.19\", expect_size=\"31059968\"] \n  26 -> 29 [size =\"31059968\"]\n  26 -> 31 [size =\"31059968\"]\n  26 -> 32 [size =\"31059968\"]\n  26 -> 33 [size =\"31059968\"]\n  27 [size=\"103022592\", alpha=\"0.04\", expect_size=\"51511296\"] \n  27 -> 29 [size =\"51511296\"]\n  27 -> 32 [size =\"51511296\"]\n  27 -> 33 [size =\"51511296\"]\n  28 [size=\"71094272\", alpha=\"0.14\", expect_size=\"35547136\"] \n  28 -> 30 [size =\"35547136\"]\n  28 -> 31 [size =\"35547136\"]\n  29 [size=\"65900544\", alpha=\"0.08\", expect_size=\"32950272\"] \n  29 -> 34 [size =\"32950272\"]\n  30 [size=\"55404544\", alpha=\"0.01\", expect_size=\"27702272\"] \n  30 -> 35 [size =\"27702272\"]\n  31 [size=\"97280000\", alpha=\"0.07\", expect_size=\"48640000\"] \n  32 [size=\"30646272\", alpha=\"0.09\", expect_size=\"15323136\"] \n  33 [size=\"101509120\", alpha=\"0.11\", expect_size=\"50754560\"] \n  33 -> 34 [size =\"50754560\"]\n  34 [size=\"80076800\", alpha=\"0.05\", expect_size=\"40038400\"] \n  35 [size=\"97486848\", alpha=\"0.03\", expect_size=\"48743424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36364288\", alpha=\"0.01\", expect_size=\"18182144\"] \n  1 -> 29 [size =\"18182144\"]\n  2 [size=\"16414720\", alpha=\"0.18\", expect_size=\"8207360\"] \n  2 -> 28 [size =\"8207360\"]\n  2 -> 29 [size =\"8207360\"]\n  2 -> 30 [size =\"8207360\"]\n  2 -> 33 [size =\"8207360\"]\n  2 -> 34 [size =\"8207360\"]\n  3 [size=\"97134592\", alpha=\"0.12\", expect_size=\"48567296\"] \n  3 -> 28 [size =\"48567296\"]\n  3 -> 29 [size =\"48567296\"]\n  4 [size=\"99643392\", alpha=\"0.17\", expect_size=\"49821696\"] \n  4 -> 28 [size =\"49821696\"]\n  4 -> 29 [size =\"49821696\"]\n  4 -> 31 [size =\"49821696\"]\n  4 -> 35 [size =\"49821696\"]\n  5 [size=\"63823872\", alpha=\"0.18\", expect_size=\"31911936\"] \n  5 -> 28 [size =\"31911936\"]\n  5 -> 34 [size =\"31911936\"]\n  6 [size=\"99028992\", alpha=\"0.01\", expect_size=\"49514496\"] \n  6 -> 33 [size =\"49514496\"]\n  7 [size=\"37847040\", alpha=\"0.03\", expect_size=\"18923520\"] \n  7 -> 27 [size =\"18923520\"]\n  7 -> 34 [size =\"18923520\"]\n  8 [size=\"100014080\", alpha=\"0.01\", expect_size=\"50007040\"] \n  8 -> 28 [size =\"50007040\"]\n  9 [size=\"14034944\", alpha=\"0.07\", expect_size=\"7017472\"] \n  9 -> 26 [size =\"7017472\"]\n  10 [size=\"44750848\", alpha=\"0.04\", expect_size=\"22375424\"] \n  11 [size=\"78555136\", alpha=\"0.02\", expect_size=\"39277568\"] \n  11 -> 33 [size =\"39277568\"]\n  12 [size=\"83914752\", alpha=\"0.18\", expect_size=\"41957376\"] \n  12 -> 29 [size =\"41957376\"]\n  12 -> 34 [size =\"41957376\"]\n  13 [size=\"75843584\", alpha=\"0.16\", expect_size=\"37921792\"] \n  13 -> 27 [size =\"37921792\"]\n  13 -> 31 [size =\"37921792\"]\n  13 -> 35 [size =\"37921792\"]\n  14 [size=\"37926912\", alpha=\"0.10\", expect_size=\"18963456\"] \n  14 -> 31 [size =\"18963456\"]\n  14 -> 33 [size =\"18963456\"]\n  15 [size=\"26116096\", alpha=\"0.12\", expect_size=\"13058048\"] \n  15 -> 34 [size =\"13058048\"]\n  16 [size=\"16177152\", alpha=\"0.08\", expect_size=\"8088576\"] \n  16 -> 30 [size =\"8088576\"]\n  16 -> 34 [size =\"8088576\"]\n  17 [size=\"21219328\", alpha=\"0.08\", expect_size=\"10609664\"] \n  17 -> 27 [size =\"10609664\"]\n  17 -> 29 [size =\"10609664\"]\n  17 -> 33 [size =\"10609664\"]\n  18 [size=\"33878016\", alpha=\"0.15\", expect_size=\"16939008\"] \n  18 -> 31 [size =\"16939008\"]\n  18 -> 33 [size =\"16939008\"]\n  18 -> 34 [size =\"16939008\"]\n  19 [size=\"37322752\", alpha=\"0.18\", expect_size=\"18661376\"] \n  19 -> 28 [size =\"18661376\"]\n  19 -> 33 [size =\"18661376\"]\n  20 [size=\"71194624\", alpha=\"0.09\", expect_size=\"35597312\"] \n  20 -> 27 [size =\"35597312\"]\n  20 -> 31 [size =\"35597312\"]\n  20 -> 33 [size =\"35597312\"]\n  21 [size=\"88774656\", alpha=\"0.06\", expect_size=\"44387328\"] \n  21 -> 29 [size =\"44387328\"]\n  21 -> 32 [size =\"44387328\"]\n  21 -> 33 [size =\"44387328\"]\n  21 -> 35 [size =\"44387328\"]\n  22 [size=\"98609152\", alpha=\"0.04\", expect_size=\"49304576\"] \n  22 -> 28 [size =\"49304576\"]\n  22 -> 29 [size =\"49304576\"]\n  22 -> 33 [size =\"49304576\"]\n  22 -> 35 [size =\"49304576\"]\n  23 [size=\"89423872\", alpha=\"0.00\", expect_size=\"44711936\"] \n  23 -> 28 [size =\"44711936\"]\n  23 -> 29 [size =\"44711936\"]\n  23 -> 31 [size =\"44711936\"]\n  23 -> 33 [size =\"44711936\"]\n  23 -> 35 [size =\"44711936\"]\n  24 [size=\"70832128\", alpha=\"0.15\", expect_size=\"35416064\"] \n  24 -> 34 [size =\"35416064\"]\n  24 -> 35 [size =\"35416064\"]\n  25 [size=\"25769984\", alpha=\"0.02\", expect_size=\"12884992\"] \n  25 -> 29 [size =\"12884992\"]\n  25 -> 31 [size =\"12884992\"]\n  25 -> 35 [size =\"12884992\"]\n  26 [size=\"82167808\", alpha=\"0.07\", expect_size=\"41083904\"] \n  27 [size=\"24211456\", alpha=\"0.18\", expect_size=\"12105728\"] \n  28 [size=\"63193088\", alpha=\"0.08\", expect_size=\"31596544\"] \n  29 [size=\"38672384\", alpha=\"0.19\", expect_size=\"19336192\"] \n  30 [size=\"28987392\", alpha=\"0.17\", expect_size=\"14493696\"] \n  31 [size=\"72200192\", alpha=\"0.10\", expect_size=\"36100096\"] \n  32 [size=\"99815424\", alpha=\"0.18\", expect_size=\"49907712\"] \n  33 [size=\"23392256\", alpha=\"0.20\", expect_size=\"11696128\"] \n  34 [size=\"23951360\", alpha=\"0.07\", expect_size=\"11975680\"] \n  35 [size=\"96280576\", alpha=\"0.18\", expect_size=\"48140288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155450027\", alpha=\"0.02\", expect_size=\"46635008\"] \n  1 -> 2 [size =\"46635008\"]\n  2 [size=\"157631147\", alpha=\"0.09\", expect_size=\"47289344\"] \n  2 -> 3 [size =\"47289344\"]\n  3 [size=\"117558613\", alpha=\"0.04\", expect_size=\"35267584\"] \n  3 -> 4 [size =\"35267584\"]\n  4 [size=\"40826880\", alpha=\"0.10\", expect_size=\"12248064\"] \n  4 -> 5 [size =\"12248064\"]\n  5 [size=\"133969920\", alpha=\"0.06\", expect_size=\"40190976\"] \n  5 -> 6 [size =\"40190976\"]\n  6 [size=\"142288213\", alpha=\"0.02\", expect_size=\"42686464\"] \n  6 -> 7 [size =\"42686464\"]\n  7 [size=\"112308907\", alpha=\"0.16\", expect_size=\"33692672\"] \n  7 -> 8 [size =\"33692672\"]\n  8 [size=\"103413760\", alpha=\"0.03\", expect_size=\"31024128\"] \n  8 -> 9 [size =\"31024128\"]\n  9 [size=\"53329920\", alpha=\"0.14\", expect_size=\"15998976\"] \n  9 -> 10 [size =\"15998976\"]\n  10 [size=\"150104747\", alpha=\"0.00\", expect_size=\"45031424\"] \n  10 -> 11 [size =\"45031424\"]\n  11 [size=\"161634987\", alpha=\"0.10\", expect_size=\"48490496\"] \n  11 -> 12 [size =\"48490496\"]\n  12 [size=\"20295680\", alpha=\"0.01\", expect_size=\"6088704\"] \n  12 -> 13 [size =\"6088704\"]\n  13 [size=\"94436693\", alpha=\"0.11\", expect_size=\"28331008\"] \n  13 -> 14 [size =\"28331008\"]\n  14 [size=\"125262507\", alpha=\"0.16\", expect_size=\"37578752\"] \n  14 -> 15 [size =\"37578752\"]\n  15 [size=\"45213013\", alpha=\"0.09\", expect_size=\"13563904\"] \n  15 -> 16 [size =\"13563904\"]\n  16 [size=\"95771307\", alpha=\"0.11\", expect_size=\"28731392\"] \n  16 -> 17 [size =\"28731392\"]\n  17 [size=\"114336427\", alpha=\"0.18\", expect_size=\"34300928\"] \n  17 -> 18 [size =\"34300928\"]\n  18 [size=\"83408213\", alpha=\"0.10\", expect_size=\"25022464\"] \n  18 -> 19 [size =\"25022464\"]\n  19 [size=\"107229867\", alpha=\"0.16\", expect_size=\"32168960\"] \n  19 -> 20 [size =\"32168960\"]\n  20 [size=\"56890027\", alpha=\"0.02\", expect_size=\"17067008\"] \n  20 -> 21 [size =\"17067008\"]\n  21 [size=\"57067520\", alpha=\"0.05\", expect_size=\"17120256\"] \n  21 -> 22 [size =\"17120256\"]\n  22 [size=\"139079680\", alpha=\"0.06\", expect_size=\"41723904\"] \n  22 -> 23 [size =\"41723904\"]\n  23 [size=\"150295893\", alpha=\"0.00\", expect_size=\"45088768\"] \n  23 -> 24 [size =\"45088768\"]\n  24 [size=\"81926827\", alpha=\"0.17\", expect_size=\"24578048\"] \n  24 -> 25 [size =\"24578048\"]\n  25 [size=\"50841600\", alpha=\"0.09\", expect_size=\"15252480\"] \n  25 -> 26 [size =\"15252480\"]\n  26 [size=\"119101440\", alpha=\"0.16\", expect_size=\"35730432\"] \n  26 -> 27 [size =\"35730432\"]\n  27 [size=\"49701547\", alpha=\"0.16\", expect_size=\"14910464\"] \n  27 -> 28 [size =\"14910464\"]\n  28 [size=\"35123200\", alpha=\"0.07\", expect_size=\"10536960\"] \n  28 -> 29 [size =\"10536960\"]\n  29 [size=\"110028800\", alpha=\"0.02\", expect_size=\"33008640\"] \n  29 -> 30 [size =\"33008640\"]\n  30 [size=\"79759360\", alpha=\"0.14\", expect_size=\"23927808\"] \n  30 -> 31 [size =\"23927808\"]\n  31 [size=\"95088640\", alpha=\"0.04\", expect_size=\"28526592\"] \n  31 -> 32 [size =\"28526592\"]\n  32 [size=\"136704000\", alpha=\"0.15\", expect_size=\"41011200\"] \n  32 -> 33 [size =\"41011200\"]\n  33 [size=\"30190933\", alpha=\"0.15\", expect_size=\"9057280\"] \n  33 -> 34 [size =\"9057280\"]\n  34 [size=\"32911360\", alpha=\"0.09\", expect_size=\"9873408\"] \n  34 -> 35 [size =\"9873408\"]\n  35 [size=\"168229547\", alpha=\"0.07\", expect_size=\"50468864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15365120\", alpha=\"0.12\", expect_size=\"6146048\"] \n  1 -> 6 [size =\"6146048\"]\n  2 [size=\"102376960\", alpha=\"0.19\", expect_size=\"40950784\"] \n  2 -> 6 [size =\"40950784\"]\n  3 [size=\"76157440\", alpha=\"0.05\", expect_size=\"30462976\"] \n  4 [size=\"66232320\", alpha=\"0.17\", expect_size=\"26492928\"] \n  4 -> 8 [size =\"26492928\"]\n  4 -> 9 [size =\"26492928\"]\n  5 [size=\"121075200\", alpha=\"0.10\", expect_size=\"48430080\"] \n  5 -> 7 [size =\"48430080\"]\n  5 -> 8 [size =\"48430080\"]\n  6 [size=\"32929280\", alpha=\"0.19\", expect_size=\"13171712\"] \n  6 -> 11 [size =\"13171712\"]\n  7 [size=\"63841280\", alpha=\"0.10\", expect_size=\"25536512\"] \n  7 -> 10 [size =\"25536512\"]\n  7 -> 11 [size =\"25536512\"]\n  7 -> 12 [size =\"25536512\"]\n  8 [size=\"126202880\", alpha=\"0.01\", expect_size=\"50481152\"] \n  9 [size=\"29286400\", alpha=\"0.12\", expect_size=\"11714560\"] \n  9 -> 11 [size =\"11714560\"]\n  9 -> 12 [size =\"11714560\"]\n  9 -> 13 [size =\"11714560\"]\n  10 [size=\"19589120\", alpha=\"0.12\", expect_size=\"7835648\"] \n  10 -> 14 [size =\"7835648\"]\n  10 -> 16 [size =\"7835648\"]\n  11 [size=\"19125760\", alpha=\"0.13\", expect_size=\"7650304\"] \n  11 -> 15 [size =\"7650304\"]\n  11 -> 16 [size =\"7650304\"]\n  11 -> 17 [size =\"7650304\"]\n  11 -> 18 [size =\"7650304\"]\n  12 [size=\"90739200\", alpha=\"0.14\", expect_size=\"36295680\"] \n  12 -> 14 [size =\"36295680\"]\n  12 -> 17 [size =\"36295680\"]\n  12 -> 18 [size =\"36295680\"]\n  13 [size=\"86766080\", alpha=\"0.13\", expect_size=\"34706432\"] \n  14 [size=\"115481600\", alpha=\"0.16\", expect_size=\"46192640\"] \n  14 -> 20 [size =\"46192640\"]\n  14 -> 22 [size =\"46192640\"]\n  15 [size=\"98938880\", alpha=\"0.19\", expect_size=\"39575552\"] \n  15 -> 21 [size =\"39575552\"]\n  15 -> 22 [size =\"39575552\"]\n  15 -> 23 [size =\"39575552\"]\n  16 [size=\"42193920\", alpha=\"0.14\", expect_size=\"16877568\"] \n  16 -> 23 [size =\"16877568\"]\n  17 [size=\"38668800\", alpha=\"0.14\", expect_size=\"15467520\"] \n  17 -> 19 [size =\"15467520\"]\n  17 -> 23 [size =\"15467520\"]\n  17 -> 24 [size =\"15467520\"]\n  18 [size=\"99294720\", alpha=\"0.19\", expect_size=\"39717888\"] \n  19 [size=\"105418240\", alpha=\"0.12\", expect_size=\"42167296\"] \n  20 [size=\"58539520\", alpha=\"0.14\", expect_size=\"23415808\"] \n  20 -> 26 [size =\"23415808\"]\n  21 [size=\"130990080\", alpha=\"0.17\", expect_size=\"52396032\"] \n  21 -> 25 [size =\"52396032\"]\n  21 -> 26 [size =\"52396032\"]\n  21 -> 28 [size =\"52396032\"]\n  22 [size=\"92428800\", alpha=\"0.15\", expect_size=\"36971520\"] \n  22 -> 26 [size =\"36971520\"]\n  22 -> 27 [size =\"36971520\"]\n  23 [size=\"54958080\", alpha=\"0.04\", expect_size=\"21983232\"] \n  23 -> 28 [size =\"21983232\"]\n  24 [size=\"15004160\", alpha=\"0.02\", expect_size=\"6001664\"] \n  24 -> 26 [size =\"6001664\"]\n  25 [size=\"111452160\", alpha=\"0.18\", expect_size=\"44580864\"] \n  25 -> 29 [size =\"44580864\"]\n  25 -> 30 [size =\"44580864\"]\n  25 -> 31 [size =\"44580864\"]\n  26 [size=\"103347200\", alpha=\"0.17\", expect_size=\"41338880\"] \n  26 -> 29 [size =\"41338880\"]\n  26 -> 30 [size =\"41338880\"]\n  27 [size=\"66944000\", alpha=\"0.05\", expect_size=\"26777600\"] \n  28 [size=\"32545280\", alpha=\"0.12\", expect_size=\"13018112\"] \n  28 -> 29 [size =\"13018112\"]\n  28 -> 31 [size =\"13018112\"]\n  29 [size=\"28262400\", alpha=\"0.02\", expect_size=\"11304960\"] \n  30 [size=\"98019840\", alpha=\"0.13\", expect_size=\"39207936\"] \n  30 -> 33 [size =\"39207936\"]\n  30 -> 34 [size =\"39207936\"]\n  30 -> 35 [size =\"39207936\"]\n  31 [size=\"64401920\", alpha=\"0.05\", expect_size=\"25760768\"] \n  31 -> 32 [size =\"25760768\"]\n  31 -> 34 [size =\"25760768\"]\n  31 -> 35 [size =\"25760768\"]\n  32 [size=\"47628800\", alpha=\"0.10\", expect_size=\"19051520\"] \n  33 [size=\"19008000\", alpha=\"0.08\", expect_size=\"7603200\"] \n  34 [size=\"41592320\", alpha=\"0.03\", expect_size=\"16636928\"] \n  35 [size=\"50542080\", alpha=\"0.12\", expect_size=\"20216832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29061120\", alpha=\"0.03\", expect_size=\"11624448\"] \n  1 -> 5 [size =\"11624448\"]\n  1 -> 6 [size =\"11624448\"]\n  1 -> 8 [size =\"11624448\"]\n  1 -> 8 [size =\"11624448\"]\n  2 [size=\"23321600\", alpha=\"0.02\", expect_size=\"9328640\"] \n  2 -> 5 [size =\"9328640\"]\n  3 [size=\"16040960\", alpha=\"0.12\", expect_size=\"6416384\"] \n  3 -> 5 [size =\"6416384\"]\n  3 -> 6 [size =\"6416384\"]\n  3 -> 8 [size =\"6416384\"]\n  4 [size=\"129589760\", alpha=\"0.04\", expect_size=\"51835904\"] \n  4 -> 5 [size =\"51835904\"]\n  4 -> 6 [size =\"51835904\"]\n  4 -> 7 [size =\"51835904\"]\n  4 -> 8 [size =\"51835904\"]\n  5 [size=\"21383680\", alpha=\"0.09\", expect_size=\"8553472\"] \n  5 -> 12 [size =\"8553472\"]\n  6 [size=\"62940160\", alpha=\"0.09\", expect_size=\"25176064\"] \n  6 -> 11 [size =\"25176064\"]\n  6 -> 12 [size =\"25176064\"]\n  7 [size=\"115048960\", alpha=\"0.14\", expect_size=\"46019584\"] \n  7 -> 9 [size =\"46019584\"]\n  8 [size=\"25364480\", alpha=\"0.20\", expect_size=\"10145792\"] \n  8 -> 10 [size =\"10145792\"]\n  8 -> 11 [size =\"10145792\"]\n  8 -> 12 [size =\"10145792\"]\n  9 [size=\"26321920\", alpha=\"0.03\", expect_size=\"10528768\"] \n  9 -> 15 [size =\"10528768\"]\n  9 -> 16 [size =\"10528768\"]\n  10 [size=\"119531520\", alpha=\"0.18\", expect_size=\"47812608\"] \n  10 -> 13 [size =\"47812608\"]\n  10 -> 15 [size =\"47812608\"]\n  11 [size=\"130306560\", alpha=\"0.13\", expect_size=\"52122624\"] \n  11 -> 13 [size =\"52122624\"]\n  11 -> 14 [size =\"52122624\"]\n  11 -> 15 [size =\"52122624\"]\n  11 -> 16 [size =\"52122624\"]\n  12 [size=\"27957760\", alpha=\"0.09\", expect_size=\"11183104\"] \n  12 -> 13 [size =\"11183104\"]\n  12 -> 15 [size =\"11183104\"]\n  12 -> 16 [size =\"11183104\"]\n  12 -> 16 [size =\"11183104\"]\n  13 [size=\"37109760\", alpha=\"0.18\", expect_size=\"14843904\"] \n  13 -> 17 [size =\"14843904\"]\n  13 -> 19 [size =\"14843904\"]\n  13 -> 20 [size =\"14843904\"]\n  14 [size=\"109777920\", alpha=\"0.09\", expect_size=\"43911168\"] \n  14 -> 17 [size =\"43911168\"]\n  14 -> 18 [size =\"43911168\"]\n  14 -> 19 [size =\"43911168\"]\n  14 -> 20 [size =\"43911168\"]\n  14 -> 21 [size =\"43911168\"]\n  15 [size=\"14799360\", alpha=\"0.13\", expect_size=\"5919744\"] \n  15 -> 17 [size =\"5919744\"]\n  15 -> 18 [size =\"5919744\"]\n  15 -> 19 [size =\"5919744\"]\n  15 -> 20 [size =\"5919744\"]\n  16 [size=\"66513920\", alpha=\"0.18\", expect_size=\"26605568\"] \n  16 -> 17 [size =\"26605568\"]\n  16 -> 18 [size =\"26605568\"]\n  16 -> 20 [size =\"26605568\"]\n  17 [size=\"119057920\", alpha=\"0.17\", expect_size=\"47623168\"] \n  17 -> 22 [size =\"47623168\"]\n  17 -> 26 [size =\"47623168\"]\n  18 [size=\"85921280\", alpha=\"0.17\", expect_size=\"34368512\"] \n  18 -> 22 [size =\"34368512\"]\n  18 -> 23 [size =\"34368512\"]\n  18 -> 24 [size =\"34368512\"]\n  18 -> 25 [size =\"34368512\"]\n  18 -> 26 [size =\"34368512\"]\n  19 [size=\"83304960\", alpha=\"0.06\", expect_size=\"33321984\"] \n  19 -> 22 [size =\"33321984\"]\n  19 -> 25 [size =\"33321984\"]\n  19 -> 26 [size =\"33321984\"]\n  20 [size=\"103774720\", alpha=\"0.15\", expect_size=\"41509888\"] \n  20 -> 22 [size =\"41509888\"]\n  20 -> 25 [size =\"41509888\"]\n  20 -> 26 [size =\"41509888\"]\n  21 [size=\"93488640\", alpha=\"0.06\", expect_size=\"37395456\"] \n  21 -> 23 [size =\"37395456\"]\n  21 -> 24 [size =\"37395456\"]\n  21 -> 26 [size =\"37395456\"]\n  22 [size=\"51937280\", alpha=\"0.20\", expect_size=\"20774912\"] \n  22 -> 27 [size =\"20774912\"]\n  22 -> 28 [size =\"20774912\"]\n  22 -> 31 [size =\"20774912\"]\n  23 [size=\"107095040\", alpha=\"0.13\", expect_size=\"42838016\"] \n  23 -> 27 [size =\"42838016\"]\n  23 -> 28 [size =\"42838016\"]\n  23 -> 31 [size =\"42838016\"]\n  24 [size=\"92364800\", alpha=\"0.06\", expect_size=\"36945920\"] \n  24 -> 27 [size =\"36945920\"]\n  24 -> 31 [size =\"36945920\"]\n  25 [size=\"25013760\", alpha=\"0.01\", expect_size=\"10005504\"] \n  25 -> 29 [size =\"10005504\"]\n  25 -> 31 [size =\"10005504\"]\n  26 [size=\"103385600\", alpha=\"0.04\", expect_size=\"41354240\"] \n  26 -> 27 [size =\"41354240\"]\n  26 -> 30 [size =\"41354240\"]\n  26 -> 31 [size =\"41354240\"]\n  27 [size=\"91499520\", alpha=\"0.05\", expect_size=\"36599808\"] \n  27 -> 32 [size =\"36599808\"]\n  27 -> 33 [size =\"36599808\"]\n  27 -> 35 [size =\"36599808\"]\n  28 [size=\"70919680\", alpha=\"0.07\", expect_size=\"28367872\"] \n  28 -> 33 [size =\"28367872\"]\n  29 [size=\"51384320\", alpha=\"0.12\", expect_size=\"20553728\"] \n  29 -> 32 [size =\"20553728\"]\n  30 [size=\"89674240\", alpha=\"0.15\", expect_size=\"35869696\"] \n  30 -> 32 [size =\"35869696\"]\n  30 -> 33 [size =\"35869696\"]\n  30 -> 34 [size =\"35869696\"]\n  30 -> 35 [size =\"35869696\"]\n  31 [size=\"60976640\", alpha=\"0.18\", expect_size=\"24390656\"] \n  31 -> 32 [size =\"24390656\"]\n  31 -> 35 [size =\"24390656\"]\n  32 [size=\"99217920\", alpha=\"0.03\", expect_size=\"39687168\"] \n  33 [size=\"96647680\", alpha=\"0.12\", expect_size=\"38659072\"] \n  34 [size=\"56197120\", alpha=\"0.18\", expect_size=\"22478848\"] \n  35 [size=\"94356480\", alpha=\"0.04\", expect_size=\"37742592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33675264\", alpha=\"0.13\", expect_size=\"16837632\"] \n  1 -> 5 [size =\"16837632\"]\n  1 -> 9 [size =\"16837632\"]\n  2 [size=\"96344064\", alpha=\"0.14\", expect_size=\"48172032\"] \n  2 -> 6 [size =\"48172032\"]\n  2 -> 9 [size =\"48172032\"]\n  3 [size=\"11175936\", alpha=\"0.10\", expect_size=\"5587968\"] \n  3 -> 5 [size =\"5587968\"]\n  3 -> 7 [size =\"5587968\"]\n  3 -> 8 [size =\"5587968\"]\n  4 [size=\"59082752\", alpha=\"0.10\", expect_size=\"29541376\"] \n  4 -> 7 [size =\"29541376\"]\n  5 [size=\"77821952\", alpha=\"0.17\", expect_size=\"38910976\"] \n  5 -> 11 [size =\"38910976\"]\n  5 -> 12 [size =\"38910976\"]\n  6 [size=\"73035776\", alpha=\"0.18\", expect_size=\"36517888\"] \n  6 -> 12 [size =\"36517888\"]\n  6 -> 13 [size =\"36517888\"]\n  7 [size=\"37017600\", alpha=\"0.08\", expect_size=\"18508800\"] \n  8 [size=\"79198208\", alpha=\"0.17\", expect_size=\"39599104\"] \n  8 -> 10 [size =\"39599104\"]\n  8 -> 11 [size =\"39599104\"]\n  8 -> 13 [size =\"39599104\"]\n  9 [size=\"63438848\", alpha=\"0.04\", expect_size=\"31719424\"] \n  9 -> 10 [size =\"31719424\"]\n  9 -> 11 [size =\"31719424\"]\n  10 [size=\"78217216\", alpha=\"0.03\", expect_size=\"39108608\"] \n  10 -> 15 [size =\"39108608\"]\n  10 -> 17 [size =\"39108608\"]\n  11 [size=\"47951872\", alpha=\"0.01\", expect_size=\"23975936\"] \n  11 -> 16 [size =\"23975936\"]\n  12 [size=\"14794752\", alpha=\"0.14\", expect_size=\"7397376\"] \n  12 -> 14 [size =\"7397376\"]\n  13 [size=\"78759936\", alpha=\"0.00\", expect_size=\"39379968\"] \n  13 -> 15 [size =\"39379968\"]\n  13 -> 16 [size =\"39379968\"]\n  14 [size=\"29224960\", alpha=\"0.09\", expect_size=\"14612480\"] \n  14 -> 18 [size =\"14612480\"]\n  14 -> 19 [size =\"14612480\"]\n  15 [size=\"77680640\", alpha=\"0.16\", expect_size=\"38840320\"] \n  16 [size=\"62380032\", alpha=\"0.09\", expect_size=\"31190016\"] \n  16 -> 18 [size =\"31190016\"]\n  16 -> 20 [size =\"31190016\"]\n  17 [size=\"52621312\", alpha=\"0.06\", expect_size=\"26310656\"] \n  17 -> 18 [size =\"26310656\"]\n  17 -> 20 [size =\"26310656\"]\n  17 -> 21 [size =\"26310656\"]\n  18 [size=\"89915392\", alpha=\"0.10\", expect_size=\"44957696\"] \n  18 -> 22 [size =\"44957696\"]\n  18 -> 23 [size =\"44957696\"]\n  18 -> 25 [size =\"44957696\"]\n  19 [size=\"77545472\", alpha=\"0.17\", expect_size=\"38772736\"] \n  19 -> 22 [size =\"38772736\"]\n  19 -> 25 [size =\"38772736\"]\n  20 [size=\"96684032\", alpha=\"0.11\", expect_size=\"48342016\"] \n  20 -> 24 [size =\"48342016\"]\n  21 [size=\"17584128\", alpha=\"0.10\", expect_size=\"8792064\"] \n  22 [size=\"23584768\", alpha=\"0.07\", expect_size=\"11792384\"] \n  22 -> 26 [size =\"11792384\"]\n  22 -> 28 [size =\"11792384\"]\n  22 -> 29 [size =\"11792384\"]\n  23 [size=\"88059904\", alpha=\"0.05\", expect_size=\"44029952\"] \n  23 -> 27 [size =\"44029952\"]\n  24 [size=\"88711168\", alpha=\"0.12\", expect_size=\"44355584\"] \n  24 -> 27 [size =\"44355584\"]\n  25 [size=\"36235264\", alpha=\"0.14\", expect_size=\"18117632\"] \n  25 -> 30 [size =\"18117632\"]\n  26 [size=\"15867904\", alpha=\"0.10\", expect_size=\"7933952\"] \n  27 [size=\"60643328\", alpha=\"0.10\", expect_size=\"30321664\"] \n  27 -> 33 [size =\"30321664\"]\n  27 -> 34 [size =\"30321664\"]\n  27 -> 35 [size =\"30321664\"]\n  28 [size=\"87795712\", alpha=\"0.06\", expect_size=\"43897856\"] \n  28 -> 32 [size =\"43897856\"]\n  28 -> 34 [size =\"43897856\"]\n  29 [size=\"42899456\", alpha=\"0.12\", expect_size=\"21449728\"] \n  29 -> 32 [size =\"21449728\"]\n  29 -> 34 [size =\"21449728\"]\n  30 [size=\"28469248\", alpha=\"0.13\", expect_size=\"14234624\"] \n  30 -> 31 [size =\"14234624\"]\n  30 -> 32 [size =\"14234624\"]\n  31 [size=\"80666624\", alpha=\"0.02\", expect_size=\"40333312\"] \n  32 [size=\"33937408\", alpha=\"0.12\", expect_size=\"16968704\"] \n  33 [size=\"68513792\", alpha=\"0.16\", expect_size=\"34256896\"] \n  34 [size=\"90714112\", alpha=\"0.05\", expect_size=\"45357056\"] \n  35 [size=\"54765568\", alpha=\"0.07\", expect_size=\"27382784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75689984\", alpha=\"0.00\", expect_size=\"37844992\"] \n  1 -> 30 [size =\"37844992\"]\n  1 -> 33 [size =\"37844992\"]\n  1 -> 34 [size =\"37844992\"]\n  2 [size=\"41066496\", alpha=\"0.05\", expect_size=\"20533248\"] \n  2 -> 32 [size =\"20533248\"]\n  2 -> 35 [size =\"20533248\"]\n  3 [size=\"44052480\", alpha=\"0.13\", expect_size=\"22026240\"] \n  3 -> 30 [size =\"22026240\"]\n  3 -> 33 [size =\"22026240\"]\n  3 -> 34 [size =\"22026240\"]\n  4 [size=\"32401408\", alpha=\"0.06\", expect_size=\"16200704\"] \n  5 [size=\"103796736\", alpha=\"0.17\", expect_size=\"51898368\"] \n  5 -> 29 [size =\"51898368\"]\n  5 -> 35 [size =\"51898368\"]\n  6 [size=\"61558784\", alpha=\"0.07\", expect_size=\"30779392\"] \n  6 -> 30 [size =\"30779392\"]\n  6 -> 33 [size =\"30779392\"]\n  7 [size=\"44015616\", alpha=\"0.05\", expect_size=\"22007808\"] \n  7 -> 32 [size =\"22007808\"]\n  7 -> 33 [size =\"22007808\"]\n  8 [size=\"95539200\", alpha=\"0.07\", expect_size=\"47769600\"] \n  8 -> 30 [size =\"47769600\"]\n  8 -> 32 [size =\"47769600\"]\n  8 -> 33 [size =\"47769600\"]\n  8 -> 34 [size =\"47769600\"]\n  8 -> 35 [size =\"47769600\"]\n  9 [size=\"28968960\", alpha=\"0.11\", expect_size=\"14484480\"] \n  9 -> 35 [size =\"14484480\"]\n  10 [size=\"43487232\", alpha=\"0.05\", expect_size=\"21743616\"] \n  10 -> 30 [size =\"21743616\"]\n  10 -> 34 [size =\"21743616\"]\n  11 [size=\"58361856\", alpha=\"0.15\", expect_size=\"29180928\"] \n  11 -> 29 [size =\"29180928\"]\n  11 -> 33 [size =\"29180928\"]\n  11 -> 35 [size =\"29180928\"]\n  12 [size=\"60514304\", alpha=\"0.08\", expect_size=\"30257152\"] \n  13 [size=\"85727232\", alpha=\"0.20\", expect_size=\"42863616\"] \n  13 -> 30 [size =\"42863616\"]\n  14 [size=\"54112256\", alpha=\"0.18\", expect_size=\"27056128\"] \n  14 -> 30 [size =\"27056128\"]\n  15 [size=\"80377856\", alpha=\"0.03\", expect_size=\"40188928\"] \n  15 -> 29 [size =\"40188928\"]\n  15 -> 34 [size =\"40188928\"]\n  16 [size=\"64790528\", alpha=\"0.09\", expect_size=\"32395264\"] \n  16 -> 32 [size =\"32395264\"]\n  16 -> 34 [size =\"32395264\"]\n  17 [size=\"96227328\", alpha=\"0.08\", expect_size=\"48113664\"] \n  17 -> 34 [size =\"48113664\"]\n  18 [size=\"24399872\", alpha=\"0.01\", expect_size=\"12199936\"] \n  18 -> 29 [size =\"12199936\"]\n  18 -> 30 [size =\"12199936\"]\n  18 -> 32 [size =\"12199936\"]\n  18 -> 34 [size =\"12199936\"]\n  19 [size=\"57427968\", alpha=\"0.15\", expect_size=\"28713984\"] \n  19 -> 29 [size =\"28713984\"]\n  19 -> 30 [size =\"28713984\"]\n  19 -> 32 [size =\"28713984\"]\n  19 -> 33 [size =\"28713984\"]\n  19 -> 34 [size =\"28713984\"]\n  20 [size=\"17254400\", alpha=\"0.15\", expect_size=\"8627200\"] \n  20 -> 32 [size =\"8627200\"]\n  21 [size=\"42164224\", alpha=\"0.08\", expect_size=\"21082112\"] \n  21 -> 31 [size =\"21082112\"]\n  22 [size=\"17358848\", alpha=\"0.07\", expect_size=\"8679424\"] \n  22 -> 31 [size =\"8679424\"]\n  22 -> 34 [size =\"8679424\"]\n  22 -> 35 [size =\"8679424\"]\n  23 [size=\"56733696\", alpha=\"0.14\", expect_size=\"28366848\"] \n  23 -> 32 [size =\"28366848\"]\n  23 -> 34 [size =\"28366848\"]\n  24 [size=\"55529472\", alpha=\"0.06\", expect_size=\"27764736\"] \n  24 -> 32 [size =\"27764736\"]\n  25 [size=\"46870528\", alpha=\"0.17\", expect_size=\"23435264\"] \n  25 -> 29 [size =\"23435264\"]\n  25 -> 32 [size =\"23435264\"]\n  26 [size=\"61022208\", alpha=\"0.19\", expect_size=\"30511104\"] \n  26 -> 34 [size =\"30511104\"]\n  27 [size=\"11194368\", alpha=\"0.08\", expect_size=\"5597184\"] \n  28 [size=\"50759680\", alpha=\"0.15\", expect_size=\"25379840\"] \n  28 -> 29 [size =\"25379840\"]\n  28 -> 32 [size =\"25379840\"]\n  28 -> 33 [size =\"25379840\"]\n  28 -> 34 [size =\"25379840\"]\n  29 [size=\"57088000\", alpha=\"0.06\", expect_size=\"28544000\"] \n  30 [size=\"35323904\", alpha=\"0.04\", expect_size=\"17661952\"] \n  31 [size=\"104751104\", alpha=\"0.12\", expect_size=\"52375552\"] \n  32 [size=\"47460352\", alpha=\"0.11\", expect_size=\"23730176\"] \n  33 [size=\"82776064\", alpha=\"0.06\", expect_size=\"41388032\"] \n  34 [size=\"55523328\", alpha=\"0.10\", expect_size=\"27761664\"] \n  35 [size=\"81989632\", alpha=\"0.08\", expect_size=\"40994816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43225088\", alpha=\"0.03\", expect_size=\"21612544\"] \n  1 -> 2 [size =\"21612544\"]\n  2 [size=\"76900352\", alpha=\"0.08\", expect_size=\"38450176\"] \n  2 -> 3 [size =\"38450176\"]\n  3 [size=\"94208000\", alpha=\"0.02\", expect_size=\"47104000\"] \n  3 -> 4 [size =\"47104000\"]\n  4 [size=\"35799040\", alpha=\"0.16\", expect_size=\"17899520\"] \n  4 -> 5 [size =\"17899520\"]\n  5 [size=\"101566464\", alpha=\"0.20\", expect_size=\"50783232\"] \n  5 -> 6 [size =\"50783232\"]\n  6 [size=\"21831680\", alpha=\"0.01\", expect_size=\"10915840\"] \n  6 -> 7 [size =\"10915840\"]\n  7 [size=\"35239936\", alpha=\"0.12\", expect_size=\"17619968\"] \n  7 -> 8 [size =\"17619968\"]\n  8 [size=\"64034816\", alpha=\"0.14\", expect_size=\"32017408\"] \n  8 -> 9 [size =\"32017408\"]\n  9 [size=\"88051712\", alpha=\"0.08\", expect_size=\"44025856\"] \n  9 -> 10 [size =\"44025856\"]\n  10 [size=\"103059456\", alpha=\"0.17\", expect_size=\"51529728\"] \n  10 -> 11 [size =\"51529728\"]\n  11 [size=\"81350656\", alpha=\"0.02\", expect_size=\"40675328\"] \n  11 -> 12 [size =\"40675328\"]\n  12 [size=\"97294336\", alpha=\"0.06\", expect_size=\"48647168\"] \n  12 -> 13 [size =\"48647168\"]\n  13 [size=\"41086976\", alpha=\"0.01\", expect_size=\"20543488\"] \n  13 -> 14 [size =\"20543488\"]\n  14 [size=\"52709376\", alpha=\"0.16\", expect_size=\"26354688\"] \n  14 -> 15 [size =\"26354688\"]\n  15 [size=\"31770624\", alpha=\"0.02\", expect_size=\"15885312\"] \n  15 -> 16 [size =\"15885312\"]\n  16 [size=\"29829120\", alpha=\"0.17\", expect_size=\"14914560\"] \n  16 -> 17 [size =\"14914560\"]\n  17 [size=\"32323584\", alpha=\"0.06\", expect_size=\"16161792\"] \n  17 -> 18 [size =\"16161792\"]\n  18 [size=\"91125760\", alpha=\"0.17\", expect_size=\"45562880\"] \n  18 -> 19 [size =\"45562880\"]\n  19 [size=\"63203328\", alpha=\"0.07\", expect_size=\"31601664\"] \n  19 -> 20 [size =\"31601664\"]\n  20 [size=\"99817472\", alpha=\"0.16\", expect_size=\"49908736\"] \n  20 -> 21 [size =\"49908736\"]\n  21 [size=\"87126016\", alpha=\"0.12\", expect_size=\"43563008\"] \n  21 -> 22 [size =\"43563008\"]\n  22 [size=\"97124352\", alpha=\"0.03\", expect_size=\"48562176\"] \n  22 -> 23 [size =\"48562176\"]\n  23 [size=\"32004096\", alpha=\"0.11\", expect_size=\"16002048\"] \n  23 -> 24 [size =\"16002048\"]\n  24 [size=\"38295552\", alpha=\"0.04\", expect_size=\"19147776\"] \n  24 -> 25 [size =\"19147776\"]\n  25 [size=\"18642944\", alpha=\"0.17\", expect_size=\"9321472\"] \n  25 -> 26 [size =\"9321472\"]\n  26 [size=\"26454016\", alpha=\"0.12\", expect_size=\"13227008\"] \n  26 -> 27 [size =\"13227008\"]\n  27 [size=\"14159872\", alpha=\"0.13\", expect_size=\"7079936\"] \n  27 -> 28 [size =\"7079936\"]\n  28 [size=\"42092544\", alpha=\"0.04\", expect_size=\"21046272\"] \n  28 -> 29 [size =\"21046272\"]\n  29 [size=\"26353664\", alpha=\"0.13\", expect_size=\"13176832\"] \n  29 -> 30 [size =\"13176832\"]\n  30 [size=\"58742784\", alpha=\"0.00\", expect_size=\"29371392\"] \n  30 -> 31 [size =\"29371392\"]\n  31 [size=\"40767488\", alpha=\"0.03\", expect_size=\"20383744\"] \n  31 -> 32 [size =\"20383744\"]\n  32 [size=\"99538944\", alpha=\"0.04\", expect_size=\"49769472\"] \n  32 -> 33 [size =\"49769472\"]\n  33 [size=\"18356224\", alpha=\"0.12\", expect_size=\"9178112\"] \n  33 -> 34 [size =\"9178112\"]\n  34 [size=\"69689344\", alpha=\"0.09\", expect_size=\"34844672\"] \n  34 -> 35 [size =\"34844672\"]\n  35 [size=\"90103808\", alpha=\"0.10\", expect_size=\"45051904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121528320\", alpha=\"0.09\", expect_size=\"36458496\"] \n  1 -> 2 [size =\"36458496\"]\n  2 [size=\"113059840\", alpha=\"0.07\", expect_size=\"33917952\"] \n  2 -> 3 [size =\"33917952\"]\n  3 [size=\"144776533\", alpha=\"0.17\", expect_size=\"43432960\"] \n  3 -> 4 [size =\"43432960\"]\n  4 [size=\"142271147\", alpha=\"0.09\", expect_size=\"42681344\"] \n  4 -> 5 [size =\"42681344\"]\n  5 [size=\"73014613\", alpha=\"0.00\", expect_size=\"21904384\"] \n  5 -> 6 [size =\"21904384\"]\n  6 [size=\"69649067\", alpha=\"0.14\", expect_size=\"20894720\"] \n  6 -> 7 [size =\"20894720\"]\n  7 [size=\"77168640\", alpha=\"0.05\", expect_size=\"23150592\"] \n  7 -> 8 [size =\"23150592\"]\n  8 [size=\"118719147\", alpha=\"0.14\", expect_size=\"35615744\"] \n  8 -> 9 [size =\"35615744\"]\n  9 [size=\"109335893\", alpha=\"0.02\", expect_size=\"32800768\"] \n  9 -> 10 [size =\"32800768\"]\n  10 [size=\"119091200\", alpha=\"0.19\", expect_size=\"35727360\"] \n  10 -> 11 [size =\"35727360\"]\n  11 [size=\"168413867\", alpha=\"0.19\", expect_size=\"50524160\"] \n  11 -> 12 [size =\"50524160\"]\n  12 [size=\"79551147\", alpha=\"0.11\", expect_size=\"23865344\"] \n  12 -> 13 [size =\"23865344\"]\n  13 [size=\"133051733\", alpha=\"0.20\", expect_size=\"39915520\"] \n  13 -> 14 [size =\"39915520\"]\n  14 [size=\"111322453\", alpha=\"0.08\", expect_size=\"33396736\"] \n  14 -> 15 [size =\"33396736\"]\n  15 [size=\"22650880\", alpha=\"0.08\", expect_size=\"6795264\"] \n  15 -> 16 [size =\"6795264\"]\n  16 [size=\"26422613\", alpha=\"0.01\", expect_size=\"7926784\"] \n  16 -> 17 [size =\"7926784\"]\n  17 [size=\"133256533\", alpha=\"0.11\", expect_size=\"39976960\"] \n  17 -> 18 [size =\"39976960\"]\n  18 [size=\"170127360\", alpha=\"0.12\", expect_size=\"51038208\"] \n  18 -> 19 [size =\"51038208\"]\n  19 [size=\"123767467\", alpha=\"0.15\", expect_size=\"37130240\"] \n  19 -> 20 [size =\"37130240\"]\n  20 [size=\"142496427\", alpha=\"0.06\", expect_size=\"42748928\"] \n  20 -> 21 [size =\"42748928\"]\n  21 [size=\"131604480\", alpha=\"0.10\", expect_size=\"39481344\"] \n  21 -> 22 [size =\"39481344\"]\n  22 [size=\"123040427\", alpha=\"0.06\", expect_size=\"36912128\"] \n  22 -> 23 [size =\"36912128\"]\n  23 [size=\"49605973\", alpha=\"0.18\", expect_size=\"14881792\"] \n  23 -> 24 [size =\"14881792\"]\n  24 [size=\"48814080\", alpha=\"0.06\", expect_size=\"14644224\"] \n  24 -> 25 [size =\"14644224\"]\n  25 [size=\"112640000\", alpha=\"0.02\", expect_size=\"33792000\"] \n  25 -> 26 [size =\"33792000\"]\n  26 [size=\"19510613\", alpha=\"0.04\", expect_size=\"5853184\"] \n  26 -> 27 [size =\"5853184\"]\n  27 [size=\"26897067\", alpha=\"0.13\", expect_size=\"8069120\"] \n  27 -> 28 [size =\"8069120\"]\n  28 [size=\"115483307\", alpha=\"0.16\", expect_size=\"34644992\"] \n  28 -> 29 [size =\"34644992\"]\n  29 [size=\"53340160\", alpha=\"0.10\", expect_size=\"16002048\"] \n  29 -> 30 [size =\"16002048\"]\n  30 [size=\"169939627\", alpha=\"0.17\", expect_size=\"50981888\"] \n  30 -> 31 [size =\"50981888\"]\n  31 [size=\"56907093\", alpha=\"0.03\", expect_size=\"17072128\"] \n  31 -> 32 [size =\"17072128\"]\n  32 [size=\"132867413\", alpha=\"0.17\", expect_size=\"39860224\"] \n  32 -> 33 [size =\"39860224\"]\n  33 [size=\"21548373\", alpha=\"0.06\", expect_size=\"6464512\"] \n  33 -> 34 [size =\"6464512\"]\n  34 [size=\"164826453\", alpha=\"0.07\", expect_size=\"49447936\"] \n  34 -> 35 [size =\"49447936\"]\n  35 [size=\"58347520\", alpha=\"0.08\", expect_size=\"17504256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28014592\", alpha=\"0.04\", expect_size=\"14007296\"] \n  1 -> 9 [size =\"14007296\"]\n  1 -> 10 [size =\"14007296\"]\n  2 [size=\"76595200\", alpha=\"0.02\", expect_size=\"38297600\"] \n  2 -> 6 [size =\"38297600\"]\n  2 -> 8 [size =\"38297600\"]\n  2 -> 9 [size =\"38297600\"]\n  3 [size=\"51548160\", alpha=\"0.18\", expect_size=\"25774080\"] \n  3 -> 10 [size =\"25774080\"]\n  4 [size=\"69314560\", alpha=\"0.16\", expect_size=\"34657280\"] \n  4 -> 6 [size =\"34657280\"]\n  4 -> 7 [size =\"34657280\"]\n  4 -> 8 [size =\"34657280\"]\n  4 -> 10 [size =\"34657280\"]\n  5 [size=\"84656128\", alpha=\"0.19\", expect_size=\"42328064\"] \n  5 -> 6 [size =\"42328064\"]\n  5 -> 7 [size =\"42328064\"]\n  5 -> 9 [size =\"42328064\"]\n  6 [size=\"69410816\", alpha=\"0.04\", expect_size=\"34705408\"] \n  6 -> 12 [size =\"34705408\"]\n  6 -> 14 [size =\"34705408\"]\n  6 -> 15 [size =\"34705408\"]\n  7 [size=\"53032960\", alpha=\"0.13\", expect_size=\"26516480\"] \n  7 -> 11 [size =\"26516480\"]\n  7 -> 12 [size =\"26516480\"]\n  7 -> 13 [size =\"26516480\"]\n  7 -> 14 [size =\"26516480\"]\n  8 [size=\"32110592\", alpha=\"0.09\", expect_size=\"16055296\"] \n  8 -> 13 [size =\"16055296\"]\n  8 -> 15 [size =\"16055296\"]\n  9 [size=\"92141568\", alpha=\"0.17\", expect_size=\"46070784\"] \n  9 -> 11 [size =\"46070784\"]\n  9 -> 12 [size =\"46070784\"]\n  9 -> 13 [size =\"46070784\"]\n  10 [size=\"56946688\", alpha=\"0.14\", expect_size=\"28473344\"] \n  10 -> 11 [size =\"28473344\"]\n  10 -> 12 [size =\"28473344\"]\n  10 -> 13 [size =\"28473344\"]\n  11 [size=\"13287424\", alpha=\"0.06\", expect_size=\"6643712\"] \n  11 -> 16 [size =\"6643712\"]\n  12 [size=\"34222080\", alpha=\"0.02\", expect_size=\"17111040\"] \n  12 -> 17 [size =\"17111040\"]\n  12 -> 19 [size =\"17111040\"]\n  13 [size=\"42612736\", alpha=\"0.02\", expect_size=\"21306368\"] \n  13 -> 19 [size =\"21306368\"]\n  14 [size=\"35465216\", alpha=\"0.01\", expect_size=\"17732608\"] \n  14 -> 16 [size =\"17732608\"]\n  14 -> 19 [size =\"17732608\"]\n  15 [size=\"16943104\", alpha=\"0.17\", expect_size=\"8471552\"] \n  15 -> 16 [size =\"8471552\"]\n  15 -> 17 [size =\"8471552\"]\n  15 -> 18 [size =\"8471552\"]\n  16 [size=\"12691456\", alpha=\"0.17\", expect_size=\"6345728\"] \n  16 -> 20 [size =\"6345728\"]\n  16 -> 21 [size =\"6345728\"]\n  17 [size=\"33863680\", alpha=\"0.04\", expect_size=\"16931840\"] \n  17 -> 22 [size =\"16931840\"]\n  18 [size=\"93040640\", alpha=\"0.07\", expect_size=\"46520320\"] \n  18 -> 20 [size =\"46520320\"]\n  18 -> 22 [size =\"46520320\"]\n  18 -> 23 [size =\"46520320\"]\n  18 -> 24 [size =\"46520320\"]\n  19 [size=\"42600448\", alpha=\"0.00\", expect_size=\"21300224\"] \n  19 -> 24 [size =\"21300224\"]\n  20 [size=\"29140992\", alpha=\"0.06\", expect_size=\"14570496\"] \n  20 -> 28 [size =\"14570496\"]\n  20 -> 29 [size =\"14570496\"]\n  21 [size=\"95293440\", alpha=\"0.16\", expect_size=\"47646720\"] \n  21 -> 26 [size =\"47646720\"]\n  21 -> 27 [size =\"47646720\"]\n  21 -> 29 [size =\"47646720\"]\n  22 [size=\"26943488\", alpha=\"0.20\", expect_size=\"13471744\"] \n  22 -> 26 [size =\"13471744\"]\n  22 -> 27 [size =\"13471744\"]\n  22 -> 29 [size =\"13471744\"]\n  23 [size=\"36423680\", alpha=\"0.12\", expect_size=\"18211840\"] \n  23 -> 25 [size =\"18211840\"]\n  23 -> 26 [size =\"18211840\"]\n  23 -> 27 [size =\"18211840\"]\n  24 [size=\"45371392\", alpha=\"0.17\", expect_size=\"22685696\"] \n  24 -> 25 [size =\"22685696\"]\n  24 -> 26 [size =\"22685696\"]\n  25 [size=\"51990528\", alpha=\"0.18\", expect_size=\"25995264\"] \n  25 -> 32 [size =\"25995264\"]\n  25 -> 33 [size =\"25995264\"]\n  25 -> 34 [size =\"25995264\"]\n  26 [size=\"36466688\", alpha=\"0.11\", expect_size=\"18233344\"] \n  26 -> 31 [size =\"18233344\"]\n  27 [size=\"22525952\", alpha=\"0.13\", expect_size=\"11262976\"] \n  27 -> 30 [size =\"11262976\"]\n  27 -> 33 [size =\"11262976\"]\n  27 -> 34 [size =\"11262976\"]\n  28 [size=\"43030528\", alpha=\"0.20\", expect_size=\"21515264\"] \n  28 -> 34 [size =\"21515264\"]\n  29 [size=\"77709312\", alpha=\"0.04\", expect_size=\"38854656\"] \n  29 -> 30 [size =\"38854656\"]\n  29 -> 32 [size =\"38854656\"]\n  29 -> 33 [size =\"38854656\"]\n  29 -> 34 [size =\"38854656\"]\n  30 [size=\"79790080\", alpha=\"0.18\", expect_size=\"39895040\"] \n  30 -> 35 [size =\"39895040\"]\n  31 [size=\"15900672\", alpha=\"0.12\", expect_size=\"7950336\"] \n  32 [size=\"92313600\", alpha=\"0.12\", expect_size=\"46156800\"] \n  33 [size=\"92020736\", alpha=\"0.18\", expect_size=\"46010368\"] \n  34 [size=\"56088576\", alpha=\"0.10\", expect_size=\"28044288\"] \n  34 -> 35 [size =\"28044288\"]\n  35 [size=\"43343872\", alpha=\"0.03\", expect_size=\"21671936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60471296\", alpha=\"0.02\", expect_size=\"30235648\"] \n  1 -> 9 [size =\"30235648\"]\n  1 -> 14 [size =\"30235648\"]\n  1 -> 16 [size =\"30235648\"]\n  1 -> 18 [size =\"30235648\"]\n  1 -> 19 [size =\"30235648\"]\n  1 -> 20 [size =\"30235648\"]\n  1 -> 21 [size =\"30235648\"]\n  2 [size=\"63619072\", alpha=\"0.06\", expect_size=\"31809536\"] \n  2 -> 9 [size =\"31809536\"]\n  2 -> 10 [size =\"31809536\"]\n  2 -> 15 [size =\"31809536\"]\n  2 -> 18 [size =\"31809536\"]\n  2 -> 19 [size =\"31809536\"]\n  2 -> 21 [size =\"31809536\"]\n  3 [size=\"80435200\", alpha=\"0.10\", expect_size=\"40217600\"] \n  3 -> 9 [size =\"40217600\"]\n  3 -> 10 [size =\"40217600\"]\n  3 -> 11 [size =\"40217600\"]\n  3 -> 12 [size =\"40217600\"]\n  3 -> 14 [size =\"40217600\"]\n  3 -> 15 [size =\"40217600\"]\n  3 -> 18 [size =\"40217600\"]\n  3 -> 19 [size =\"40217600\"]\n  3 -> 20 [size =\"40217600\"]\n  4 [size=\"22204416\", alpha=\"0.08\", expect_size=\"11102208\"] \n  4 -> 10 [size =\"11102208\"]\n  4 -> 11 [size =\"11102208\"]\n  4 -> 12 [size =\"11102208\"]\n  4 -> 12 [size =\"11102208\"]\n  4 -> 13 [size =\"11102208\"]\n  4 -> 14 [size =\"11102208\"]\n  4 -> 15 [size =\"11102208\"]\n  4 -> 17 [size =\"11102208\"]\n  4 -> 18 [size =\"11102208\"]\n  4 -> 19 [size =\"11102208\"]\n  4 -> 20 [size =\"11102208\"]\n  4 -> 23 [size =\"11102208\"]\n  5 [size=\"49192960\", alpha=\"0.13\", expect_size=\"24596480\"] \n  5 -> 10 [size =\"24596480\"]\n  5 -> 11 [size =\"24596480\"]\n  5 -> 12 [size =\"24596480\"]\n  5 -> 14 [size =\"24596480\"]\n  5 -> 15 [size =\"24596480\"]\n  5 -> 16 [size =\"24596480\"]\n  5 -> 19 [size =\"24596480\"]\n  5 -> 20 [size =\"24596480\"]\n  5 -> 22 [size =\"24596480\"]\n  5 -> 23 [size =\"24596480\"]\n  6 [size=\"91455488\", alpha=\"0.19\", expect_size=\"45727744\"] \n  6 -> 10 [size =\"45727744\"]\n  6 -> 12 [size =\"45727744\"]\n  6 -> 13 [size =\"45727744\"]\n  6 -> 14 [size =\"45727744\"]\n  6 -> 15 [size =\"45727744\"]\n  6 -> 16 [size =\"45727744\"]\n  6 -> 17 [size =\"45727744\"]\n  6 -> 20 [size =\"45727744\"]\n  6 -> 22 [size =\"45727744\"]\n  6 -> 23 [size =\"45727744\"]\n  7 [size=\"92565504\", alpha=\"0.07\", expect_size=\"46282752\"] \n  7 -> 9 [size =\"46282752\"]\n  7 -> 10 [size =\"46282752\"]\n  7 -> 12 [size =\"46282752\"]\n  7 -> 13 [size =\"46282752\"]\n  7 -> 14 [size =\"46282752\"]\n  7 -> 15 [size =\"46282752\"]\n  7 -> 16 [size =\"46282752\"]\n  7 -> 17 [size =\"46282752\"]\n  7 -> 18 [size =\"46282752\"]\n  7 -> 21 [size =\"46282752\"]\n  7 -> 22 [size =\"46282752\"]\n  7 -> 23 [size =\"46282752\"]\n  8 [size=\"54970368\", alpha=\"0.17\", expect_size=\"27485184\"] \n  8 -> 9 [size =\"27485184\"]\n  8 -> 12 [size =\"27485184\"]\n  8 -> 13 [size =\"27485184\"]\n  8 -> 14 [size =\"27485184\"]\n  8 -> 15 [size =\"27485184\"]\n  8 -> 17 [size =\"27485184\"]\n  8 -> 19 [size =\"27485184\"]\n  8 -> 23 [size =\"27485184\"]\n  9 [size=\"81346560\", alpha=\"0.17\", expect_size=\"40673280\"] \n  9 -> 24 [size =\"40673280\"]\n  9 -> 25 [size =\"40673280\"]\n  9 -> 26 [size =\"40673280\"]\n  9 -> 27 [size =\"40673280\"]\n  9 -> 29 [size =\"40673280\"]\n  9 -> 30 [size =\"40673280\"]\n  9 -> 33 [size =\"40673280\"]\n  10 [size=\"93179904\", alpha=\"0.16\", expect_size=\"46589952\"] \n  10 -> 25 [size =\"46589952\"]\n  10 -> 27 [size =\"46589952\"]\n  10 -> 29 [size =\"46589952\"]\n  10 -> 33 [size =\"46589952\"]\n  11 [size=\"56242176\", alpha=\"0.16\", expect_size=\"28121088\"] \n  11 -> 24 [size =\"28121088\"]\n  11 -> 27 [size =\"28121088\"]\n  11 -> 29 [size =\"28121088\"]\n  11 -> 30 [size =\"28121088\"]\n  11 -> 33 [size =\"28121088\"]\n  11 -> 35 [size =\"28121088\"]\n  12 [size=\"64407552\", alpha=\"0.08\", expect_size=\"32203776\"] \n  12 -> 24 [size =\"32203776\"]\n  12 -> 27 [size =\"32203776\"]\n  12 -> 29 [size =\"32203776\"]\n  12 -> 30 [size =\"32203776\"]\n  12 -> 31 [size =\"32203776\"]\n  13 [size=\"92227584\", alpha=\"0.13\", expect_size=\"46113792\"] \n  13 -> 24 [size =\"46113792\"]\n  13 -> 26 [size =\"46113792\"]\n  13 -> 27 [size =\"46113792\"]\n  13 -> 29 [size =\"46113792\"]\n  13 -> 30 [size =\"46113792\"]\n  13 -> 31 [size =\"46113792\"]\n  14 [size=\"47097856\", alpha=\"0.17\", expect_size=\"23548928\"] \n  14 -> 24 [size =\"23548928\"]\n  14 -> 25 [size =\"23548928\"]\n  14 -> 26 [size =\"23548928\"]\n  14 -> 27 [size =\"23548928\"]\n  14 -> 29 [size =\"23548928\"]\n  14 -> 31 [size =\"23548928\"]\n  14 -> 33 [size =\"23548928\"]\n  14 -> 35 [size =\"23548928\"]\n  15 [size=\"86263808\", alpha=\"0.02\", expect_size=\"43131904\"] \n  15 -> 24 [size =\"43131904\"]\n  15 -> 25 [size =\"43131904\"]\n  15 -> 27 [size =\"43131904\"]\n  15 -> 29 [size =\"43131904\"]\n  15 -> 29 [size =\"43131904\"]\n  15 -> 30 [size =\"43131904\"]\n  15 -> 33 [size =\"43131904\"]\n  15 -> 35 [size =\"43131904\"]\n  16 [size=\"53008384\", alpha=\"0.05\", expect_size=\"26504192\"] \n  16 -> 25 [size =\"26504192\"]\n  16 -> 26 [size =\"26504192\"]\n  16 -> 27 [size =\"26504192\"]\n  16 -> 32 [size =\"26504192\"]\n  16 -> 33 [size =\"26504192\"]\n  17 [size=\"45936640\", alpha=\"0.12\", expect_size=\"22968320\"] \n  17 -> 26 [size =\"22968320\"]\n  17 -> 27 [size =\"22968320\"]\n  17 -> 30 [size =\"22968320\"]\n  17 -> 31 [size =\"22968320\"]\n  17 -> 33 [size =\"22968320\"]\n  18 [size=\"79857664\", alpha=\"0.15\", expect_size=\"39928832\"] \n  18 -> 24 [size =\"39928832\"]\n  18 -> 25 [size =\"39928832\"]\n  18 -> 26 [size =\"39928832\"]\n  18 -> 29 [size =\"39928832\"]\n  18 -> 31 [size =\"39928832\"]\n  18 -> 33 [size =\"39928832\"]\n  19 [size=\"66754560\", alpha=\"0.11\", expect_size=\"33377280\"] \n  19 -> 24 [size =\"33377280\"]\n  19 -> 25 [size =\"33377280\"]\n  19 -> 27 [size =\"33377280\"]\n  19 -> 28 [size =\"33377280\"]\n  19 -> 30 [size =\"33377280\"]\n  19 -> 33 [size =\"33377280\"]\n  19 -> 35 [size =\"33377280\"]\n  20 [size=\"52133888\", alpha=\"0.08\", expect_size=\"26066944\"] \n  20 -> 27 [size =\"26066944\"]\n  20 -> 31 [size =\"26066944\"]\n  20 -> 33 [size =\"26066944\"]\n  20 -> 35 [size =\"26066944\"]\n  21 [size=\"33658880\", alpha=\"0.16\", expect_size=\"16829440\"] \n  21 -> 24 [size =\"16829440\"]\n  21 -> 26 [size =\"16829440\"]\n  21 -> 27 [size =\"16829440\"]\n  21 -> 29 [size =\"16829440\"]\n  21 -> 30 [size =\"16829440\"]\n  21 -> 31 [size =\"16829440\"]\n  21 -> 33 [size =\"16829440\"]\n  22 [size=\"14364672\", alpha=\"0.15\", expect_size=\"7182336\"] \n  22 -> 25 [size =\"7182336\"]\n  22 -> 27 [size =\"7182336\"]\n  22 -> 29 [size =\"7182336\"]\n  22 -> 29 [size =\"7182336\"]\n  22 -> 30 [size =\"7182336\"]\n  22 -> 33 [size =\"7182336\"]\n  22 -> 33 [size =\"7182336\"]\n  23 [size=\"53852160\", alpha=\"0.08\", expect_size=\"26926080\"] \n  23 -> 25 [size =\"26926080\"]\n  23 -> 29 [size =\"26926080\"]\n  23 -> 30 [size =\"26926080\"]\n  23 -> 31 [size =\"26926080\"]\n  23 -> 33 [size =\"26926080\"]\n  23 -> 34 [size =\"26926080\"]\n  24 [size=\"21170176\", alpha=\"0.05\", expect_size=\"10585088\"] \n  25 [size=\"100405248\", alpha=\"0.09\", expect_size=\"50202624\"] \n  26 [size=\"17299456\", alpha=\"0.10\", expect_size=\"8649728\"] \n  27 [size=\"39733248\", alpha=\"0.09\", expect_size=\"19866624\"] \n  28 [size=\"95199232\", alpha=\"0.18\", expect_size=\"47599616\"] \n  29 [size=\"72407040\", alpha=\"0.01\", expect_size=\"36203520\"] \n  30 [size=\"30547968\", alpha=\"0.02\", expect_size=\"15273984\"] \n  31 [size=\"69003264\", alpha=\"0.13\", expect_size=\"34501632\"] \n  32 [size=\"49016832\", alpha=\"0.15\", expect_size=\"24508416\"] \n  33 [size=\"23719936\", alpha=\"0.14\", expect_size=\"11859968\"] \n  34 [size=\"63064064\", alpha=\"0.01\", expect_size=\"31532032\"] \n  35 [size=\"84393984\", alpha=\"0.04\", expect_size=\"42196992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119592960\", alpha=\"0.15\", expect_size=\"47837184\"] \n  1 -> 7 [size =\"47837184\"]\n  1 -> 10 [size =\"47837184\"]\n  2 [size=\"112414720\", alpha=\"0.16\", expect_size=\"44965888\"] \n  2 -> 6 [size =\"44965888\"]\n  2 -> 7 [size =\"44965888\"]\n  3 [size=\"59550720\", alpha=\"0.13\", expect_size=\"23820288\"] \n  3 -> 9 [size =\"23820288\"]\n  4 [size=\"92231680\", alpha=\"0.09\", expect_size=\"36892672\"] \n  4 -> 6 [size =\"36892672\"]\n  4 -> 8 [size =\"36892672\"]\n  4 -> 9 [size =\"36892672\"]\n  5 [size=\"79567360\", alpha=\"0.15\", expect_size=\"31826944\"] \n  5 -> 10 [size =\"31826944\"]\n  6 [size=\"24212480\", alpha=\"0.03\", expect_size=\"9684992\"] \n  6 -> 11 [size =\"9684992\"]\n  6 -> 12 [size =\"9684992\"]\n  7 [size=\"104161280\", alpha=\"0.10\", expect_size=\"41664512\"] \n  7 -> 12 [size =\"41664512\"]\n  7 -> 13 [size =\"41664512\"]\n  7 -> 15 [size =\"41664512\"]\n  8 [size=\"67668480\", alpha=\"0.05\", expect_size=\"27067392\"] \n  8 -> 11 [size =\"27067392\"]\n  8 -> 12 [size =\"27067392\"]\n  8 -> 14 [size =\"27067392\"]\n  8 -> 15 [size =\"27067392\"]\n  9 [size=\"42160640\", alpha=\"0.08\", expect_size=\"16864256\"] \n  9 -> 11 [size =\"16864256\"]\n  9 -> 13 [size =\"16864256\"]\n  9 -> 15 [size =\"16864256\"]\n  9 -> 15 [size =\"16864256\"]\n  10 [size=\"84354560\", alpha=\"0.14\", expect_size=\"33741824\"] \n  10 -> 11 [size =\"33741824\"]\n  10 -> 12 [size =\"33741824\"]\n  10 -> 13 [size =\"33741824\"]\n  10 -> 14 [size =\"33741824\"]\n  11 [size=\"50270720\", alpha=\"0.12\", expect_size=\"20108288\"] \n  11 -> 16 [size =\"20108288\"]\n  11 -> 17 [size =\"20108288\"]\n  12 [size=\"21045760\", alpha=\"0.01\", expect_size=\"8418304\"] \n  12 -> 16 [size =\"8418304\"]\n  13 [size=\"113932800\", alpha=\"0.07\", expect_size=\"45573120\"] \n  13 -> 17 [size =\"45573120\"]\n  13 -> 18 [size =\"45573120\"]\n  13 -> 19 [size =\"45573120\"]\n  14 [size=\"71567360\", alpha=\"0.02\", expect_size=\"28626944\"] \n  14 -> 19 [size =\"28626944\"]\n  15 [size=\"123453440\", alpha=\"0.02\", expect_size=\"49381376\"] \n  15 -> 17 [size =\"49381376\"]\n  16 [size=\"94366720\", alpha=\"0.10\", expect_size=\"37746688\"] \n  16 -> 20 [size =\"37746688\"]\n  16 -> 23 [size =\"37746688\"]\n  17 [size=\"109352960\", alpha=\"0.03\", expect_size=\"43741184\"] \n  17 -> 20 [size =\"43741184\"]\n  17 -> 22 [size =\"43741184\"]\n  18 [size=\"48092160\", alpha=\"0.05\", expect_size=\"19236864\"] \n  18 -> 20 [size =\"19236864\"]\n  18 -> 21 [size =\"19236864\"]\n  18 -> 22 [size =\"19236864\"]\n  18 -> 23 [size =\"19236864\"]\n  19 [size=\"77621760\", alpha=\"0.01\", expect_size=\"31048704\"] \n  19 -> 21 [size =\"31048704\"]\n  19 -> 23 [size =\"31048704\"]\n  20 [size=\"127162880\", alpha=\"0.08\", expect_size=\"50865152\"] \n  20 -> 25 [size =\"50865152\"]\n  20 -> 27 [size =\"50865152\"]\n  21 [size=\"92316160\", alpha=\"0.13\", expect_size=\"36926464\"] \n  21 -> 24 [size =\"36926464\"]\n  21 -> 25 [size =\"36926464\"]\n  22 [size=\"46850560\", alpha=\"0.15\", expect_size=\"18740224\"] \n  22 -> 26 [size =\"18740224\"]\n  22 -> 27 [size =\"18740224\"]\n  22 -> 28 [size =\"18740224\"]\n  23 [size=\"51624960\", alpha=\"0.04\", expect_size=\"20649984\"] \n  23 -> 24 [size =\"20649984\"]\n  23 -> 25 [size =\"20649984\"]\n  23 -> 26 [size =\"20649984\"]\n  24 [size=\"95109120\", alpha=\"0.07\", expect_size=\"38043648\"] \n  24 -> 29 [size =\"38043648\"]\n  24 -> 30 [size =\"38043648\"]\n  25 [size=\"108236800\", alpha=\"0.01\", expect_size=\"43294720\"] \n  25 -> 30 [size =\"43294720\"]\n  25 -> 32 [size =\"43294720\"]\n  26 [size=\"118510080\", alpha=\"0.18\", expect_size=\"47404032\"] \n  26 -> 31 [size =\"47404032\"]\n  26 -> 32 [size =\"47404032\"]\n  27 [size=\"61222400\", alpha=\"0.09\", expect_size=\"24488960\"] \n  27 -> 29 [size =\"24488960\"]\n  27 -> 32 [size =\"24488960\"]\n  28 [size=\"79121920\", alpha=\"0.10\", expect_size=\"31648768\"] \n  28 -> 30 [size =\"31648768\"]\n  29 [size=\"109084160\", alpha=\"0.16\", expect_size=\"43633664\"] \n  29 -> 33 [size =\"43633664\"]\n  30 [size=\"117117440\", alpha=\"0.14\", expect_size=\"46846976\"] \n  30 -> 35 [size =\"46846976\"]\n  31 [size=\"47267840\", alpha=\"0.18\", expect_size=\"18907136\"] \n  32 [size=\"123983360\", alpha=\"0.03\", expect_size=\"49593344\"] \n  32 -> 34 [size =\"49593344\"]\n  32 -> 35 [size =\"49593344\"]\n  33 [size=\"92682240\", alpha=\"0.06\", expect_size=\"37072896\"] \n  34 [size=\"117770240\", alpha=\"0.18\", expect_size=\"47108096\"] \n  35 [size=\"42447360\", alpha=\"0.09\", expect_size=\"16978944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131686400\", alpha=\"0.10\", expect_size=\"39505920\"] \n  1 -> 14 [size =\"39505920\"]\n  1 -> 15 [size =\"39505920\"]\n  1 -> 18 [size =\"39505920\"]\n  2 [size=\"143554560\", alpha=\"0.02\", expect_size=\"43066368\"] \n  2 -> 13 [size =\"43066368\"]\n  2 -> 15 [size =\"43066368\"]\n  2 -> 17 [size =\"43066368\"]\n  2 -> 18 [size =\"43066368\"]\n  3 [size=\"138864640\", alpha=\"0.15\", expect_size=\"41659392\"] \n  3 -> 12 [size =\"41659392\"]\n  3 -> 13 [size =\"41659392\"]\n  3 -> 15 [size =\"41659392\"]\n  4 [size=\"157716480\", alpha=\"0.15\", expect_size=\"47314944\"] \n  4 -> 12 [size =\"47314944\"]\n  4 -> 14 [size =\"47314944\"]\n  4 -> 18 [size =\"47314944\"]\n  5 [size=\"96884053\", alpha=\"0.03\", expect_size=\"29065216\"] \n  5 -> 12 [size =\"29065216\"]\n  5 -> 13 [size =\"29065216\"]\n  5 -> 15 [size =\"29065216\"]\n  6 [size=\"59071147\", alpha=\"0.02\", expect_size=\"17721344\"] \n  6 -> 15 [size =\"17721344\"]\n  6 -> 16 [size =\"17721344\"]\n  7 [size=\"121306453\", alpha=\"0.18\", expect_size=\"36391936\"] \n  7 -> 14 [size =\"36391936\"]\n  7 -> 15 [size =\"36391936\"]\n  7 -> 18 [size =\"36391936\"]\n  8 [size=\"109786453\", alpha=\"0.11\", expect_size=\"32935936\"] \n  8 -> 15 [size =\"32935936\"]\n  9 [size=\"122398720\", alpha=\"0.07\", expect_size=\"36719616\"] \n  9 -> 15 [size =\"36719616\"]\n  9 -> 16 [size =\"36719616\"]\n  9 -> 18 [size =\"36719616\"]\n  10 [size=\"41618773\", alpha=\"0.03\", expect_size=\"12485632\"] \n  10 -> 13 [size =\"12485632\"]\n  10 -> 14 [size =\"12485632\"]\n  10 -> 15 [size =\"12485632\"]\n  11 [size=\"169000960\", alpha=\"0.12\", expect_size=\"50700288\"] \n  11 -> 15 [size =\"50700288\"]\n  12 [size=\"91405653\", alpha=\"0.13\", expect_size=\"27421696\"] \n  12 -> 26 [size =\"27421696\"]\n  12 -> 27 [size =\"27421696\"]\n  12 -> 28 [size =\"27421696\"]\n  12 -> 33 [size =\"27421696\"]\n  13 [size=\"103860907\", alpha=\"0.16\", expect_size=\"31158272\"] \n  13 -> 22 [size =\"31158272\"]\n  13 -> 25 [size =\"31158272\"]\n  13 -> 26 [size =\"31158272\"]\n  13 -> 27 [size =\"31158272\"]\n  13 -> 28 [size =\"31158272\"]\n  13 -> 29 [size =\"31158272\"]\n  13 -> 30 [size =\"31158272\"]\n  13 -> 32 [size =\"31158272\"]\n  13 -> 33 [size =\"31158272\"]\n  14 [size=\"61136213\", alpha=\"0.13\", expect_size=\"18340864\"] \n  14 -> 20 [size =\"18340864\"]\n  14 -> 27 [size =\"18340864\"]\n  14 -> 28 [size =\"18340864\"]\n  14 -> 31 [size =\"18340864\"]\n  14 -> 32 [size =\"18340864\"]\n  14 -> 33 [size =\"18340864\"]\n  15 [size=\"21370880\", alpha=\"0.07\", expect_size=\"6411264\"] \n  15 -> 19 [size =\"6411264\"]\n  15 -> 22 [size =\"6411264\"]\n  15 -> 24 [size =\"6411264\"]\n  15 -> 25 [size =\"6411264\"]\n  15 -> 27 [size =\"6411264\"]\n  15 -> 31 [size =\"6411264\"]\n  15 -> 32 [size =\"6411264\"]\n  15 -> 33 [size =\"6411264\"]\n  16 [size=\"41642667\", alpha=\"0.02\", expect_size=\"12492800\"] \n  16 -> 20 [size =\"12492800\"]\n  16 -> 22 [size =\"12492800\"]\n  16 -> 25 [size =\"12492800\"]\n  16 -> 25 [size =\"12492800\"]\n  16 -> 28 [size =\"12492800\"]\n  16 -> 31 [size =\"12492800\"]\n  16 -> 33 [size =\"12492800\"]\n  17 [size=\"54855680\", alpha=\"0.08\", expect_size=\"16456704\"] \n  17 -> 20 [size =\"16456704\"]\n  17 -> 21 [size =\"16456704\"]\n  17 -> 22 [size =\"16456704\"]\n  17 -> 25 [size =\"16456704\"]\n  17 -> 26 [size =\"16456704\"]\n  17 -> 27 [size =\"16456704\"]\n  17 -> 28 [size =\"16456704\"]\n  17 -> 30 [size =\"16456704\"]\n  17 -> 31 [size =\"16456704\"]\n  18 [size=\"36952747\", alpha=\"0.02\", expect_size=\"11085824\"] \n  18 -> 19 [size =\"11085824\"]\n  18 -> 21 [size =\"11085824\"]\n  18 -> 22 [size =\"11085824\"]\n  18 -> 23 [size =\"11085824\"]\n  18 -> 24 [size =\"11085824\"]\n  18 -> 25 [size =\"11085824\"]\n  18 -> 26 [size =\"11085824\"]\n  18 -> 28 [size =\"11085824\"]\n  19 [size=\"120002560\", alpha=\"0.04\", expect_size=\"36000768\"] \n  19 -> 34 [size =\"36000768\"]\n  19 -> 35 [size =\"36000768\"]\n  20 [size=\"172513280\", alpha=\"0.08\", expect_size=\"51753984\"] \n  20 -> 34 [size =\"51753984\"]\n  20 -> 35 [size =\"51753984\"]\n  21 [size=\"38959787\", alpha=\"0.07\", expect_size=\"11687936\"] \n  21 -> 34 [size =\"11687936\"]\n  22 [size=\"136171520\", alpha=\"0.01\", expect_size=\"40851456\"] \n  22 -> 34 [size =\"40851456\"]\n  22 -> 35 [size =\"40851456\"]\n  23 [size=\"78240427\", alpha=\"0.11\", expect_size=\"23472128\"] \n  23 -> 34 [size =\"23472128\"]\n  23 -> 35 [size =\"23472128\"]\n  24 [size=\"46356480\", alpha=\"0.19\", expect_size=\"13906944\"] \n  24 -> 34 [size =\"13906944\"]\n  24 -> 35 [size =\"13906944\"]\n  25 [size=\"152408747\", alpha=\"0.17\", expect_size=\"45722624\"] \n  25 -> 34 [size =\"45722624\"]\n  26 [size=\"53903360\", alpha=\"0.00\", expect_size=\"16171008\"] \n  26 -> 34 [size =\"16171008\"]\n  27 [size=\"66822827\", alpha=\"0.17\", expect_size=\"20046848\"] \n  27 -> 34 [size =\"20046848\"]\n  27 -> 35 [size =\"20046848\"]\n  28 [size=\"132727467\", alpha=\"0.05\", expect_size=\"39818240\"] \n  28 -> 35 [size =\"39818240\"]\n  28 -> 35 [size =\"39818240\"]\n  29 [size=\"150210560\", alpha=\"0.06\", expect_size=\"45063168\"] \n  29 -> 35 [size =\"45063168\"]\n  30 [size=\"24753493\", alpha=\"0.11\", expect_size=\"7426048\"] \n  30 -> 34 [size =\"7426048\"]\n  30 -> 35 [size =\"7426048\"]\n  31 [size=\"88265387\", alpha=\"0.15\", expect_size=\"26479616\"] \n  31 -> 34 [size =\"26479616\"]\n  31 -> 35 [size =\"26479616\"]\n  32 [size=\"140386987\", alpha=\"0.08\", expect_size=\"42116096\"] \n  32 -> 34 [size =\"42116096\"]\n  32 -> 35 [size =\"42116096\"]\n  33 [size=\"149920427\", alpha=\"0.12\", expect_size=\"44976128\"] \n  33 -> 34 [size =\"44976128\"]\n  33 -> 35 [size =\"44976128\"]\n  34 [size=\"80957440\", alpha=\"0.02\", expect_size=\"24287232\"] \n  35 [size=\"73751893\", alpha=\"0.12\", expect_size=\"22125568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44328960\", alpha=\"0.12\", expect_size=\"17731584\"] \n  1 -> 4 [size =\"17731584\"]\n  1 -> 5 [size =\"17731584\"]\n  2 [size=\"39360000\", alpha=\"0.09\", expect_size=\"15744000\"] \n  2 -> 4 [size =\"15744000\"]\n  2 -> 5 [size =\"15744000\"]\n  3 [size=\"62510080\", alpha=\"0.17\", expect_size=\"25004032\"] \n  3 -> 4 [size =\"25004032\"]\n  3 -> 5 [size =\"25004032\"]\n  4 [size=\"28761600\", alpha=\"0.04\", expect_size=\"11504640\"] \n  4 -> 6 [size =\"11504640\"]\n  4 -> 7 [size =\"11504640\"]\n  4 -> 8 [size =\"11504640\"]\n  4 -> 9 [size =\"11504640\"]\n  4 -> 11 [size =\"11504640\"]\n  5 [size=\"126346240\", alpha=\"0.18\", expect_size=\"50538496\"] \n  5 -> 7 [size =\"50538496\"]\n  5 -> 8 [size =\"50538496\"]\n  5 -> 10 [size =\"50538496\"]\n  6 [size=\"28753920\", alpha=\"0.17\", expect_size=\"11501568\"] \n  6 -> 12 [size =\"11501568\"]\n  7 [size=\"58088960\", alpha=\"0.00\", expect_size=\"23235584\"] \n  7 -> 12 [size =\"23235584\"]\n  8 [size=\"60515840\", alpha=\"0.02\", expect_size=\"24206336\"] \n  8 -> 12 [size =\"24206336\"]\n  8 -> 13 [size =\"24206336\"]\n  9 [size=\"94069760\", alpha=\"0.07\", expect_size=\"37627904\"] \n  9 -> 13 [size =\"37627904\"]\n  10 [size=\"47019520\", alpha=\"0.08\", expect_size=\"18807808\"] \n  10 -> 13 [size =\"18807808\"]\n  11 [size=\"18798080\", alpha=\"0.08\", expect_size=\"7519232\"] \n  11 -> 12 [size =\"7519232\"]\n  11 -> 13 [size =\"7519232\"]\n  12 [size=\"90936320\", alpha=\"0.02\", expect_size=\"36374528\"] \n  12 -> 14 [size =\"36374528\"]\n  12 -> 15 [size =\"36374528\"]\n  12 -> 16 [size =\"36374528\"]\n  13 [size=\"26088960\", alpha=\"0.06\", expect_size=\"10435584\"] \n  13 -> 14 [size =\"10435584\"]\n  13 -> 15 [size =\"10435584\"]\n  14 [size=\"128755200\", alpha=\"0.04\", expect_size=\"51502080\"] \n  14 -> 17 [size =\"51502080\"]\n  14 -> 18 [size =\"51502080\"]\n  14 -> 19 [size =\"51502080\"]\n  15 [size=\"35258880\", alpha=\"0.07\", expect_size=\"14103552\"] \n  15 -> 19 [size =\"14103552\"]\n  16 [size=\"22607360\", alpha=\"0.12\", expect_size=\"9042944\"] \n  16 -> 18 [size =\"9042944\"]\n  16 -> 19 [size =\"9042944\"]\n  17 [size=\"123507200\", alpha=\"0.07\", expect_size=\"49402880\"] \n  17 -> 20 [size =\"49402880\"]\n  18 [size=\"123898880\", alpha=\"0.20\", expect_size=\"49559552\"] \n  18 -> 21 [size =\"49559552\"]\n  19 [size=\"17566720\", alpha=\"0.15\", expect_size=\"7026688\"] \n  19 -> 22 [size =\"7026688\"]\n  20 [size=\"58291200\", alpha=\"0.14\", expect_size=\"23316480\"] \n  20 -> 23 [size =\"23316480\"]\n  20 -> 26 [size =\"23316480\"]\n  21 [size=\"103170560\", alpha=\"0.17\", expect_size=\"41268224\"] \n  21 -> 24 [size =\"41268224\"]\n  21 -> 26 [size =\"41268224\"]\n  21 -> 27 [size =\"41268224\"]\n  22 [size=\"32719360\", alpha=\"0.05\", expect_size=\"13087744\"] \n  22 -> 25 [size =\"13087744\"]\n  22 -> 26 [size =\"13087744\"]\n  23 [size=\"45859840\", alpha=\"0.02\", expect_size=\"18343936\"] \n  23 -> 28 [size =\"18343936\"]\n  23 -> 29 [size =\"18343936\"]\n  24 [size=\"83796480\", alpha=\"0.01\", expect_size=\"33518592\"] \n  24 -> 28 [size =\"33518592\"]\n  24 -> 30 [size =\"33518592\"]\n  25 [size=\"109624320\", alpha=\"0.20\", expect_size=\"43849728\"] \n  25 -> 28 [size =\"43849728\"]\n  26 [size=\"33487360\", alpha=\"0.01\", expect_size=\"13394944\"] \n  26 -> 28 [size =\"13394944\"]\n  26 -> 29 [size =\"13394944\"]\n  26 -> 30 [size =\"13394944\"]\n  27 [size=\"102292480\", alpha=\"0.09\", expect_size=\"40916992\"] \n  27 -> 28 [size =\"40916992\"]\n  27 -> 29 [size =\"40916992\"]\n  28 [size=\"23457280\", alpha=\"0.06\", expect_size=\"9382912\"] \n  28 -> 31 [size =\"9382912\"]\n  28 -> 32 [size =\"9382912\"]\n  29 [size=\"20641280\", alpha=\"0.16\", expect_size=\"8256512\"] \n  29 -> 31 [size =\"8256512\"]\n  29 -> 32 [size =\"8256512\"]\n  30 [size=\"110167040\", alpha=\"0.13\", expect_size=\"44066816\"] \n  30 -> 31 [size =\"44066816\"]\n  30 -> 32 [size =\"44066816\"]\n  31 [size=\"72368640\", alpha=\"0.10\", expect_size=\"28947456\"] \n  31 -> 33 [size =\"28947456\"]\n  31 -> 34 [size =\"28947456\"]\n  31 -> 35 [size =\"28947456\"]\n  32 [size=\"56437760\", alpha=\"0.00\", expect_size=\"22575104\"] \n  32 -> 33 [size =\"22575104\"]\n  32 -> 34 [size =\"22575104\"]\n  33 [size=\"88627200\", alpha=\"0.13\", expect_size=\"35450880\"] \n  34 [size=\"100377600\", alpha=\"0.05\", expect_size=\"40151040\"] \n  35 [size=\"107343360\", alpha=\"0.01\", expect_size=\"42937344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116293120\", alpha=\"0.03\", expect_size=\"46517248\"] \n  1 -> 3 [size =\"46517248\"]\n  2 [size=\"66767360\", alpha=\"0.05\", expect_size=\"26706944\"] \n  3 [size=\"85017600\", alpha=\"0.14\", expect_size=\"34007040\"] \n  3 -> 4 [size =\"34007040\"]\n  3 -> 5 [size =\"34007040\"]\n  4 [size=\"76956160\", alpha=\"0.06\", expect_size=\"30782464\"] \n  5 [size=\"67527680\", alpha=\"0.14\", expect_size=\"27011072\"] \n  5 -> 6 [size =\"27011072\"]\n  6 [size=\"24826880\", alpha=\"0.00\", expect_size=\"9930752\"] \n  6 -> 7 [size =\"9930752\"]\n  6 -> 8 [size =\"9930752\"]\n  7 [size=\"84454400\", alpha=\"0.10\", expect_size=\"33781760\"] \n  7 -> 9 [size =\"33781760\"]\n  8 [size=\"70213120\", alpha=\"0.18\", expect_size=\"28085248\"] \n  8 -> 10 [size =\"28085248\"]\n  9 [size=\"99783680\", alpha=\"0.10\", expect_size=\"39913472\"] \n  9 -> 12 [size =\"39913472\"]\n  10 [size=\"26639360\", alpha=\"0.12\", expect_size=\"10655744\"] \n  10 -> 11 [size =\"10655744\"]\n  11 [size=\"39703040\", alpha=\"0.03\", expect_size=\"15881216\"] \n  11 -> 13 [size =\"15881216\"]\n  12 [size=\"57267200\", alpha=\"0.01\", expect_size=\"22906880\"] \n  12 -> 13 [size =\"22906880\"]\n  13 [size=\"88245760\", alpha=\"0.13\", expect_size=\"35298304\"] \n  13 -> 14 [size =\"35298304\"]\n  13 -> 15 [size =\"35298304\"]\n  14 [size=\"53626880\", alpha=\"0.14\", expect_size=\"21450752\"] \n  14 -> 16 [size =\"21450752\"]\n  15 [size=\"90132480\", alpha=\"0.10\", expect_size=\"36052992\"] \n  16 [size=\"56071680\", alpha=\"0.11\", expect_size=\"22428672\"] \n  16 -> 17 [size =\"22428672\"]\n  17 [size=\"57692160\", alpha=\"0.12\", expect_size=\"23076864\"] \n  17 -> 18 [size =\"23076864\"]\n  17 -> 19 [size =\"23076864\"]\n  18 [size=\"119349760\", alpha=\"0.18\", expect_size=\"47739904\"] \n  18 -> 20 [size =\"47739904\"]\n  19 [size=\"108359680\", alpha=\"0.14\", expect_size=\"43343872\"] \n  19 -> 20 [size =\"43343872\"]\n  20 [size=\"51005440\", alpha=\"0.14\", expect_size=\"20402176\"] \n  20 -> 21 [size =\"20402176\"]\n  20 -> 22 [size =\"20402176\"]\n  21 [size=\"121991680\", alpha=\"0.12\", expect_size=\"48796672\"] \n  21 -> 24 [size =\"48796672\"]\n  22 [size=\"24486400\", alpha=\"0.19\", expect_size=\"9794560\"] \n  22 -> 23 [size =\"9794560\"]\n  23 [size=\"31157760\", alpha=\"0.19\", expect_size=\"12463104\"] \n  24 [size=\"107673600\", alpha=\"0.09\", expect_size=\"43069440\"] \n  24 -> 25 [size =\"43069440\"]\n  25 [size=\"72035840\", alpha=\"0.08\", expect_size=\"28814336\"] \n  25 -> 26 [size =\"28814336\"]\n  26 [size=\"129180160\", alpha=\"0.09\", expect_size=\"51672064\"] \n  26 -> 27 [size =\"51672064\"]\n  27 [size=\"73745920\", alpha=\"0.03\", expect_size=\"29498368\"] \n  27 -> 28 [size =\"29498368\"]\n  27 -> 29 [size =\"29498368\"]\n  28 [size=\"28879360\", alpha=\"0.06\", expect_size=\"11551744\"] \n  28 -> 30 [size =\"11551744\"]\n  28 -> 31 [size =\"11551744\"]\n  29 [size=\"16081920\", alpha=\"0.04\", expect_size=\"6432768\"] \n  30 [size=\"98455040\", alpha=\"0.04\", expect_size=\"39382016\"] \n  30 -> 32 [size =\"39382016\"]\n  31 [size=\"65594880\", alpha=\"0.08\", expect_size=\"26237952\"] \n  31 -> 32 [size =\"26237952\"]\n  32 [size=\"20697600\", alpha=\"0.00\", expect_size=\"8279040\"] \n  32 -> 33 [size =\"8279040\"]\n  33 [size=\"17415680\", alpha=\"0.05\", expect_size=\"6966272\"] \n  33 -> 34 [size =\"6966272\"]\n  34 [size=\"127664640\", alpha=\"0.17\", expect_size=\"51065856\"] \n  34 -> 35 [size =\"51065856\"]\n  35 [size=\"61401600\", alpha=\"0.01\", expect_size=\"24560640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55511040\", alpha=\"0.16\", expect_size=\"16653312\"] \n  1 -> 8 [size =\"16653312\"]\n  1 -> 9 [size =\"16653312\"]\n  2 [size=\"67935573\", alpha=\"0.12\", expect_size=\"20380672\"] \n  3 [size=\"72946347\", alpha=\"0.15\", expect_size=\"21883904\"] \n  3 -> 5 [size =\"21883904\"]\n  3 -> 6 [size =\"21883904\"]\n  4 [size=\"138233173\", alpha=\"0.08\", expect_size=\"41469952\"] \n  4 -> 5 [size =\"41469952\"]\n  4 -> 7 [size =\"41469952\"]\n  4 -> 8 [size =\"41469952\"]\n  5 [size=\"19271680\", alpha=\"0.10\", expect_size=\"5781504\"] \n  6 [size=\"149230933\", alpha=\"0.00\", expect_size=\"44769280\"] \n  6 -> 10 [size =\"44769280\"]\n  7 [size=\"104099840\", alpha=\"0.01\", expect_size=\"31229952\"] \n  7 -> 11 [size =\"31229952\"]\n  8 [size=\"75659947\", alpha=\"0.10\", expect_size=\"22697984\"] \n  8 -> 12 [size =\"22697984\"]\n  9 [size=\"39010987\", alpha=\"0.11\", expect_size=\"11703296\"] \n  9 -> 13 [size =\"11703296\"]\n  9 -> 14 [size =\"11703296\"]\n  10 [size=\"112537600\", alpha=\"0.11\", expect_size=\"33761280\"] \n  10 -> 15 [size =\"33761280\"]\n  11 [size=\"31972693\", alpha=\"0.19\", expect_size=\"9591808\"] \n  11 -> 15 [size =\"9591808\"]\n  12 [size=\"160436907\", alpha=\"0.06\", expect_size=\"48131072\"] \n  13 [size=\"98624853\", alpha=\"0.18\", expect_size=\"29587456\"] \n  13 -> 17 [size =\"29587456\"]\n  14 [size=\"57883307\", alpha=\"0.06\", expect_size=\"17364992\"] \n  14 -> 15 [size =\"17364992\"]\n  14 -> 16 [size =\"17364992\"]\n  15 [size=\"124439893\", alpha=\"0.02\", expect_size=\"37331968\"] \n  15 -> 18 [size =\"37331968\"]\n  15 -> 20 [size =\"37331968\"]\n  15 -> 21 [size =\"37331968\"]\n  16 [size=\"43380053\", alpha=\"0.18\", expect_size=\"13014016\"] \n  16 -> 18 [size =\"13014016\"]\n  16 -> 19 [size =\"13014016\"]\n  16 -> 21 [size =\"13014016\"]\n  17 [size=\"46455467\", alpha=\"0.05\", expect_size=\"13936640\"] \n  17 -> 19 [size =\"13936640\"]\n  17 -> 20 [size =\"13936640\"]\n  18 [size=\"55135573\", alpha=\"0.01\", expect_size=\"16540672\"] \n  18 -> 24 [size =\"16540672\"]\n  18 -> 26 [size =\"16540672\"]\n  18 -> 27 [size =\"16540672\"]\n  19 [size=\"130324480\", alpha=\"0.08\", expect_size=\"39097344\"] \n  19 -> 27 [size =\"39097344\"]\n  20 [size=\"62969173\", alpha=\"0.12\", expect_size=\"18890752\"] \n  20 -> 22 [size =\"18890752\"]\n  20 -> 23 [size =\"18890752\"]\n  20 -> 26 [size =\"18890752\"]\n  21 [size=\"145790293\", alpha=\"0.01\", expect_size=\"43737088\"] \n  21 -> 22 [size =\"43737088\"]\n  21 -> 25 [size =\"43737088\"]\n  22 [size=\"137823573\", alpha=\"0.17\", expect_size=\"41347072\"] \n  22 -> 31 [size =\"41347072\"]\n  22 -> 33 [size =\"41347072\"]\n  23 [size=\"25965227\", alpha=\"0.19\", expect_size=\"7789568\"] \n  23 -> 31 [size =\"7789568\"]\n  23 -> 33 [size =\"7789568\"]\n  24 [size=\"164638720\", alpha=\"0.17\", expect_size=\"49391616\"] \n  24 -> 29 [size =\"49391616\"]\n  24 -> 30 [size =\"49391616\"]\n  24 -> 31 [size =\"49391616\"]\n  25 [size=\"53316267\", alpha=\"0.15\", expect_size=\"15994880\"] \n  25 -> 30 [size =\"15994880\"]\n  26 [size=\"69669547\", alpha=\"0.10\", expect_size=\"20900864\"] \n  26 -> 30 [size =\"20900864\"]\n  27 [size=\"57364480\", alpha=\"0.15\", expect_size=\"17209344\"] \n  27 -> 28 [size =\"17209344\"]\n  27 -> 29 [size =\"17209344\"]\n  27 -> 32 [size =\"17209344\"]\n  27 -> 33 [size =\"17209344\"]\n  28 [size=\"96368640\", alpha=\"0.09\", expect_size=\"28910592\"] \n  28 -> 35 [size =\"28910592\"]\n  29 [size=\"106687147\", alpha=\"0.04\", expect_size=\"32006144\"] \n  29 -> 35 [size =\"32006144\"]\n  30 [size=\"171970560\", alpha=\"0.12\", expect_size=\"51591168\"] \n  30 -> 34 [size =\"51591168\"]\n  31 [size=\"112216747\", alpha=\"0.02\", expect_size=\"33665024\"] \n  31 -> 34 [size =\"33665024\"]\n  32 [size=\"122750293\", alpha=\"0.10\", expect_size=\"36825088\"] \n  33 [size=\"96740693\", alpha=\"0.09\", expect_size=\"29022208\"] \n  34 [size=\"89661440\", alpha=\"0.12\", expect_size=\"26898432\"] \n  35 [size=\"64989867\", alpha=\"0.09\", expect_size=\"19496960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132058453\", alpha=\"0.06\", expect_size=\"39617536\"] \n  1 -> 18 [size =\"39617536\"]\n  1 -> 19 [size =\"39617536\"]\n  1 -> 23 [size =\"39617536\"]\n  1 -> 27 [size =\"39617536\"]\n  1 -> 28 [size =\"39617536\"]\n  2 [size=\"122910720\", alpha=\"0.17\", expect_size=\"36873216\"] \n  2 -> 16 [size =\"36873216\"]\n  2 -> 28 [size =\"36873216\"]\n  2 -> 29 [size =\"36873216\"]\n  3 [size=\"30733653\", alpha=\"0.13\", expect_size=\"9220096\"] \n  3 -> 16 [size =\"9220096\"]\n  3 -> 23 [size =\"9220096\"]\n  3 -> 25 [size =\"9220096\"]\n  3 -> 27 [size =\"9220096\"]\n  3 -> 28 [size =\"9220096\"]\n  3 -> 29 [size =\"9220096\"]\n  4 [size=\"38362453\", alpha=\"0.17\", expect_size=\"11508736\"] \n  4 -> 19 [size =\"11508736\"]\n  4 -> 21 [size =\"11508736\"]\n  4 -> 22 [size =\"11508736\"]\n  4 -> 23 [size =\"11508736\"]\n  4 -> 24 [size =\"11508736\"]\n  4 -> 25 [size =\"11508736\"]\n  5 [size=\"17643520\", alpha=\"0.16\", expect_size=\"5293056\"] \n  5 -> 16 [size =\"5293056\"]\n  5 -> 21 [size =\"5293056\"]\n  5 -> 22 [size =\"5293056\"]\n  5 -> 23 [size =\"5293056\"]\n  6 [size=\"62146560\", alpha=\"0.13\", expect_size=\"18643968\"] \n  6 -> 16 [size =\"18643968\"]\n  6 -> 19 [size =\"18643968\"]\n  6 -> 22 [size =\"18643968\"]\n  6 -> 23 [size =\"18643968\"]\n  6 -> 27 [size =\"18643968\"]\n  7 [size=\"81169067\", alpha=\"0.11\", expect_size=\"24350720\"] \n  7 -> 16 [size =\"24350720\"]\n  7 -> 18 [size =\"24350720\"]\n  7 -> 22 [size =\"24350720\"]\n  7 -> 23 [size =\"24350720\"]\n  7 -> 27 [size =\"24350720\"]\n  7 -> 28 [size =\"24350720\"]\n  7 -> 29 [size =\"24350720\"]\n  8 [size=\"58231467\", alpha=\"0.19\", expect_size=\"17469440\"] \n  8 -> 16 [size =\"17469440\"]\n  8 -> 18 [size =\"17469440\"]\n  8 -> 19 [size =\"17469440\"]\n  8 -> 20 [size =\"17469440\"]\n  8 -> 27 [size =\"17469440\"]\n  9 [size=\"48343040\", alpha=\"0.20\", expect_size=\"14502912\"] \n  9 -> 16 [size =\"14502912\"]\n  9 -> 17 [size =\"14502912\"]\n  9 -> 18 [size =\"14502912\"]\n  9 -> 25 [size =\"14502912\"]\n  9 -> 28 [size =\"14502912\"]\n  10 [size=\"21442560\", alpha=\"0.01\", expect_size=\"6432768\"] \n  10 -> 17 [size =\"6432768\"]\n  10 -> 17 [size =\"6432768\"]\n  10 -> 22 [size =\"6432768\"]\n  10 -> 23 [size =\"6432768\"]\n  10 -> 24 [size =\"6432768\"]\n  10 -> 25 [size =\"6432768\"]\n  10 -> 26 [size =\"6432768\"]\n  10 -> 27 [size =\"6432768\"]\n  10 -> 28 [size =\"6432768\"]\n  11 [size=\"120995840\", alpha=\"0.08\", expect_size=\"36298752\"] \n  11 -> 17 [size =\"36298752\"]\n  11 -> 21 [size =\"36298752\"]\n  11 -> 22 [size =\"36298752\"]\n  12 [size=\"167000747\", alpha=\"0.20\", expect_size=\"50100224\"] \n  12 -> 16 [size =\"50100224\"]\n  12 -> 17 [size =\"50100224\"]\n  12 -> 18 [size =\"50100224\"]\n  12 -> 22 [size =\"50100224\"]\n  12 -> 23 [size =\"50100224\"]\n  12 -> 24 [size =\"50100224\"]\n  12 -> 25 [size =\"50100224\"]\n  12 -> 28 [size =\"50100224\"]\n  12 -> 29 [size =\"50100224\"]\n  13 [size=\"142991360\", alpha=\"0.16\", expect_size=\"42897408\"] \n  13 -> 22 [size =\"42897408\"]\n  13 -> 25 [size =\"42897408\"]\n  13 -> 27 [size =\"42897408\"]\n  14 [size=\"86104747\", alpha=\"0.00\", expect_size=\"25831424\"] \n  14 -> 16 [size =\"25831424\"]\n  14 -> 25 [size =\"25831424\"]\n  14 -> 26 [size =\"25831424\"]\n  15 [size=\"59156480\", alpha=\"0.02\", expect_size=\"17746944\"] \n  15 -> 18 [size =\"17746944\"]\n  15 -> 19 [size =\"17746944\"]\n  15 -> 21 [size =\"17746944\"]\n  15 -> 24 [size =\"17746944\"]\n  15 -> 25 [size =\"17746944\"]\n  15 -> 27 [size =\"17746944\"]\n  16 [size=\"25797973\", alpha=\"0.17\", expect_size=\"7739392\"] \n  16 -> 35 [size =\"7739392\"]\n  17 [size=\"127470933\", alpha=\"0.14\", expect_size=\"38241280\"] \n  17 -> 30 [size =\"38241280\"]\n  17 -> 31 [size =\"38241280\"]\n  18 [size=\"59610453\", alpha=\"0.04\", expect_size=\"17883136\"] \n  18 -> 30 [size =\"17883136\"]\n  19 [size=\"52834987\", alpha=\"0.08\", expect_size=\"15850496\"] \n  19 -> 33 [size =\"15850496\"]\n  19 -> 34 [size =\"15850496\"]\n  20 [size=\"49978027\", alpha=\"0.15\", expect_size=\"14993408\"] \n  20 -> 30 [size =\"14993408\"]\n  20 -> 31 [size =\"14993408\"]\n  20 -> 33 [size =\"14993408\"]\n  20 -> 34 [size =\"14993408\"]\n  21 [size=\"61303467\", alpha=\"0.17\", expect_size=\"18391040\"] \n  21 -> 30 [size =\"18391040\"]\n  21 -> 32 [size =\"18391040\"]\n  21 -> 33 [size =\"18391040\"]\n  21 -> 34 [size =\"18391040\"]\n  22 [size=\"124825600\", alpha=\"0.12\", expect_size=\"37447680\"] \n  22 -> 30 [size =\"37447680\"]\n  22 -> 33 [size =\"37447680\"]\n  22 -> 34 [size =\"37447680\"]\n  22 -> 34 [size =\"37447680\"]\n  23 [size=\"121238187\", alpha=\"0.09\", expect_size=\"36371456\"] \n  23 -> 30 [size =\"36371456\"]\n  24 [size=\"90927787\", alpha=\"0.08\", expect_size=\"27278336\"] \n  24 -> 30 [size =\"27278336\"]\n  24 -> 31 [size =\"27278336\"]\n  24 -> 33 [size =\"27278336\"]\n  25 [size=\"92654933\", alpha=\"0.08\", expect_size=\"27796480\"] \n  25 -> 31 [size =\"27796480\"]\n  25 -> 34 [size =\"27796480\"]\n  26 [size=\"109428053\", alpha=\"0.13\", expect_size=\"32828416\"] \n  26 -> 32 [size =\"32828416\"]\n  26 -> 33 [size =\"32828416\"]\n  26 -> 34 [size =\"32828416\"]\n  27 [size=\"84736000\", alpha=\"0.06\", expect_size=\"25420800\"] \n  28 [size=\"40744960\", alpha=\"0.04\", expect_size=\"12223488\"] \n  29 [size=\"69461333\", alpha=\"0.07\", expect_size=\"20838400\"] \n  29 -> 31 [size =\"20838400\"]\n  29 -> 32 [size =\"20838400\"]\n  29 -> 33 [size =\"20838400\"]\n  30 [size=\"132887893\", alpha=\"0.10\", expect_size=\"39866368\"] \n  31 [size=\"94989653\", alpha=\"0.06\", expect_size=\"28496896\"] \n  32 [size=\"70348800\", alpha=\"0.01\", expect_size=\"21104640\"] \n  33 [size=\"164399787\", alpha=\"0.12\", expect_size=\"49319936\"] \n  34 [size=\"75827200\", alpha=\"0.11\", expect_size=\"22748160\"] \n  35 [size=\"140096853\", alpha=\"0.16\", expect_size=\"42029056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132212053\", alpha=\"0.11\", expect_size=\"39663616\"] \n  1 -> 2 [size =\"39663616\"]\n  2 [size=\"158088533\", alpha=\"0.06\", expect_size=\"47426560\"] \n  2 -> 3 [size =\"47426560\"]\n  3 [size=\"55968427\", alpha=\"0.15\", expect_size=\"16790528\"] \n  3 -> 4 [size =\"16790528\"]\n  4 [size=\"26030080\", alpha=\"0.13\", expect_size=\"7809024\"] \n  4 -> 5 [size =\"7809024\"]\n  5 [size=\"20104533\", alpha=\"0.07\", expect_size=\"6031360\"] \n  5 -> 6 [size =\"6031360\"]\n  6 [size=\"30283093\", alpha=\"0.17\", expect_size=\"9084928\"] \n  6 -> 7 [size =\"9084928\"]\n  7 [size=\"154429440\", alpha=\"0.12\", expect_size=\"46328832\"] \n  7 -> 8 [size =\"46328832\"]\n  8 [size=\"64655360\", alpha=\"0.04\", expect_size=\"19396608\"] \n  8 -> 9 [size =\"19396608\"]\n  9 [size=\"51541333\", alpha=\"0.09\", expect_size=\"15462400\"] \n  9 -> 10 [size =\"15462400\"]\n  10 [size=\"172892160\", alpha=\"0.20\", expect_size=\"51867648\"] \n  10 -> 11 [size =\"51867648\"]\n  11 [size=\"38246400\", alpha=\"0.15\", expect_size=\"11473920\"] \n  11 -> 12 [size =\"11473920\"]\n  12 [size=\"123299840\", alpha=\"0.09\", expect_size=\"36989952\"] \n  12 -> 13 [size =\"36989952\"]\n  13 [size=\"170434560\", alpha=\"0.02\", expect_size=\"51130368\"] \n  13 -> 14 [size =\"51130368\"]\n  14 [size=\"129757867\", alpha=\"0.02\", expect_size=\"38927360\"] \n  14 -> 15 [size =\"38927360\"]\n  15 [size=\"77711360\", alpha=\"0.18\", expect_size=\"23313408\"] \n  15 -> 16 [size =\"23313408\"]\n  16 [size=\"132478293\", alpha=\"0.00\", expect_size=\"39743488\"] \n  16 -> 17 [size =\"39743488\"]\n  17 [size=\"112291840\", alpha=\"0.08\", expect_size=\"33687552\"] \n  17 -> 18 [size =\"33687552\"]\n  18 [size=\"49619627\", alpha=\"0.14\", expect_size=\"14885888\"] \n  18 -> 19 [size =\"14885888\"]\n  19 [size=\"81380693\", alpha=\"0.02\", expect_size=\"24414208\"] \n  19 -> 20 [size =\"24414208\"]\n  20 [size=\"155931307\", alpha=\"0.11\", expect_size=\"46779392\"] \n  20 -> 21 [size =\"46779392\"]\n  21 [size=\"153729707\", alpha=\"0.14\", expect_size=\"46118912\"] \n  21 -> 22 [size =\"46118912\"]\n  22 [size=\"111868587\", alpha=\"0.15\", expect_size=\"33560576\"] \n  22 -> 23 [size =\"33560576\"]\n  23 [size=\"24077653\", alpha=\"0.01\", expect_size=\"7223296\"] \n  23 -> 24 [size =\"7223296\"]\n  24 [size=\"41977173\", alpha=\"0.08\", expect_size=\"12593152\"] \n  24 -> 25 [size =\"12593152\"]\n  25 [size=\"57627307\", alpha=\"0.15\", expect_size=\"17288192\"] \n  25 -> 26 [size =\"17288192\"]\n  26 [size=\"42461867\", alpha=\"0.04\", expect_size=\"12738560\"] \n  26 -> 27 [size =\"12738560\"]\n  27 [size=\"42577920\", alpha=\"0.11\", expect_size=\"12773376\"] \n  27 -> 28 [size =\"12773376\"]\n  28 [size=\"107188907\", alpha=\"0.03\", expect_size=\"32156672\"] \n  28 -> 29 [size =\"32156672\"]\n  29 [size=\"59924480\", alpha=\"0.20\", expect_size=\"17977344\"] \n  29 -> 30 [size =\"17977344\"]\n  30 [size=\"75687253\", alpha=\"0.16\", expect_size=\"22706176\"] \n  30 -> 31 [size =\"22706176\"]\n  31 [size=\"159013547\", alpha=\"0.15\", expect_size=\"47704064\"] \n  31 -> 32 [size =\"47704064\"]\n  32 [size=\"110066347\", alpha=\"0.08\", expect_size=\"33019904\"] \n  32 -> 33 [size =\"33019904\"]\n  33 [size=\"69461333\", alpha=\"0.00\", expect_size=\"20838400\"] \n  33 -> 34 [size =\"20838400\"]\n  34 [size=\"75694080\", alpha=\"0.07\", expect_size=\"22708224\"] \n  34 -> 35 [size =\"22708224\"]\n  35 [size=\"137314987\", alpha=\"0.01\", expect_size=\"41194496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136642560\", alpha=\"0.19\", expect_size=\"40992768\"] \n  1 -> 6 [size =\"40992768\"]\n  1 -> 9 [size =\"40992768\"]\n  2 [size=\"76202667\", alpha=\"0.15\", expect_size=\"22860800\"] \n  2 -> 9 [size =\"22860800\"]\n  2 -> 10 [size =\"22860800\"]\n  2 -> 11 [size =\"22860800\"]\n  3 [size=\"161812480\", alpha=\"0.17\", expect_size=\"48543744\"] \n  3 -> 6 [size =\"48543744\"]\n  3 -> 7 [size =\"48543744\"]\n  3 -> 9 [size =\"48543744\"]\n  3 -> 11 [size =\"48543744\"]\n  4 [size=\"69526187\", alpha=\"0.11\", expect_size=\"20857856\"] \n  4 -> 6 [size =\"20857856\"]\n  4 -> 8 [size =\"20857856\"]\n  4 -> 9 [size =\"20857856\"]\n  4 -> 10 [size =\"20857856\"]\n  4 -> 11 [size =\"20857856\"]\n  5 [size=\"158238720\", alpha=\"0.03\", expect_size=\"47471616\"] \n  5 -> 6 [size =\"47471616\"]\n  5 -> 7 [size =\"47471616\"]\n  5 -> 8 [size =\"47471616\"]\n  5 -> 9 [size =\"47471616\"]\n  5 -> 10 [size =\"47471616\"]\n  6 [size=\"49380693\", alpha=\"0.04\", expect_size=\"14814208\"] \n  6 -> 12 [size =\"14814208\"]\n  6 -> 13 [size =\"14814208\"]\n  6 -> 14 [size =\"14814208\"]\n  7 [size=\"158634667\", alpha=\"0.10\", expect_size=\"47590400\"] \n  7 -> 13 [size =\"47590400\"]\n  7 -> 15 [size =\"47590400\"]\n  8 [size=\"35300693\", alpha=\"0.00\", expect_size=\"10590208\"] \n  8 -> 12 [size =\"10590208\"]\n  8 -> 13 [size =\"10590208\"]\n  8 -> 14 [size =\"10590208\"]\n  8 -> 15 [size =\"10590208\"]\n  9 [size=\"125593600\", alpha=\"0.07\", expect_size=\"37678080\"] \n  9 -> 12 [size =\"37678080\"]\n  9 -> 14 [size =\"37678080\"]\n  9 -> 15 [size =\"37678080\"]\n  9 -> 15 [size =\"37678080\"]\n  10 [size=\"49394347\", alpha=\"0.01\", expect_size=\"14818304\"] \n  10 -> 12 [size =\"14818304\"]\n  10 -> 14 [size =\"14818304\"]\n  10 -> 15 [size =\"14818304\"]\n  11 [size=\"147285333\", alpha=\"0.02\", expect_size=\"44185600\"] \n  11 -> 12 [size =\"44185600\"]\n  11 -> 13 [size =\"44185600\"]\n  11 -> 14 [size =\"44185600\"]\n  11 -> 15 [size =\"44185600\"]\n  12 [size=\"136673280\", alpha=\"0.08\", expect_size=\"41001984\"] \n  12 -> 17 [size =\"41001984\"]\n  12 -> 18 [size =\"41001984\"]\n  12 -> 19 [size =\"41001984\"]\n  13 [size=\"97259520\", alpha=\"0.14\", expect_size=\"29177856\"] \n  13 -> 16 [size =\"29177856\"]\n  13 -> 18 [size =\"29177856\"]\n  13 -> 19 [size =\"29177856\"]\n  13 -> 20 [size =\"29177856\"]\n  14 [size=\"74161493\", alpha=\"0.01\", expect_size=\"22248448\"] \n  14 -> 20 [size =\"22248448\"]\n  15 [size=\"164290560\", alpha=\"0.10\", expect_size=\"49287168\"] \n  15 -> 17 [size =\"49287168\"]\n  15 -> 18 [size =\"49287168\"]\n  15 -> 20 [size =\"49287168\"]\n  16 [size=\"29173760\", alpha=\"0.02\", expect_size=\"8752128\"] \n  16 -> 24 [size =\"8752128\"]\n  17 [size=\"60610560\", alpha=\"0.08\", expect_size=\"18183168\"] \n  17 -> 23 [size =\"18183168\"]\n  17 -> 25 [size =\"18183168\"]\n  18 [size=\"139929600\", alpha=\"0.13\", expect_size=\"41978880\"] \n  18 -> 22 [size =\"41978880\"]\n  18 -> 23 [size =\"41978880\"]\n  18 -> 24 [size =\"41978880\"]\n  18 -> 25 [size =\"41978880\"]\n  19 [size=\"142987947\", alpha=\"0.13\", expect_size=\"42896384\"] \n  19 -> 22 [size =\"42896384\"]\n  19 -> 24 [size =\"42896384\"]\n  19 -> 24 [size =\"42896384\"]\n  19 -> 25 [size =\"42896384\"]\n  20 [size=\"43499520\", alpha=\"0.04\", expect_size=\"13049856\"] \n  20 -> 21 [size =\"13049856\"]\n  20 -> 22 [size =\"13049856\"]\n  20 -> 24 [size =\"13049856\"]\n  20 -> 25 [size =\"13049856\"]\n  21 [size=\"51094187\", alpha=\"0.11\", expect_size=\"15328256\"] \n  21 -> 27 [size =\"15328256\"]\n  21 -> 29 [size =\"15328256\"]\n  22 [size=\"70478507\", alpha=\"0.05\", expect_size=\"21143552\"] \n  22 -> 27 [size =\"21143552\"]\n  23 [size=\"135843840\", alpha=\"0.17\", expect_size=\"40753152\"] \n  23 -> 26 [size =\"40753152\"]\n  23 -> 27 [size =\"40753152\"]\n  23 -> 28 [size =\"40753152\"]\n  24 [size=\"91473920\", alpha=\"0.16\", expect_size=\"27442176\"] \n  24 -> 26 [size =\"27442176\"]\n  24 -> 29 [size =\"27442176\"]\n  24 -> 30 [size =\"27442176\"]\n  25 [size=\"102659413\", alpha=\"0.13\", expect_size=\"30797824\"] \n  25 -> 27 [size =\"30797824\"]\n  25 -> 29 [size =\"30797824\"]\n  25 -> 30 [size =\"30797824\"]\n  26 [size=\"26593280\", alpha=\"0.14\", expect_size=\"7977984\"] \n  26 -> 32 [size =\"7977984\"]\n  26 -> 34 [size =\"7977984\"]\n  26 -> 35 [size =\"7977984\"]\n  27 [size=\"39208960\", alpha=\"0.13\", expect_size=\"11762688\"] \n  27 -> 31 [size =\"11762688\"]\n  28 [size=\"100352000\", alpha=\"0.14\", expect_size=\"30105600\"] \n  28 -> 35 [size =\"30105600\"]\n  29 [size=\"43810133\", alpha=\"0.09\", expect_size=\"13143040\"] \n  29 -> 32 [size =\"13143040\"]\n  29 -> 34 [size =\"13143040\"]\n  30 [size=\"144076800\", alpha=\"0.07\", expect_size=\"43223040\"] \n  30 -> 33 [size =\"43223040\"]\n  30 -> 34 [size =\"43223040\"]\n  31 [size=\"19145387\", alpha=\"0.03\", expect_size=\"5743616\"] \n  32 [size=\"102765227\", alpha=\"0.14\", expect_size=\"30829568\"] \n  33 [size=\"139083093\", alpha=\"0.14\", expect_size=\"41724928\"] \n  34 [size=\"115155627\", alpha=\"0.02\", expect_size=\"34546688\"] \n  35 [size=\"83032747\", alpha=\"0.09\", expect_size=\"24909824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52527104\", alpha=\"0.17\", expect_size=\"26263552\"] \n  1 -> 13 [size =\"26263552\"]\n  1 -> 17 [size =\"26263552\"]\n  2 [size=\"43972608\", alpha=\"0.02\", expect_size=\"21986304\"] \n  2 -> 15 [size =\"21986304\"]\n  2 -> 17 [size =\"21986304\"]\n  3 [size=\"48293888\", alpha=\"0.01\", expect_size=\"24146944\"] \n  3 -> 14 [size =\"24146944\"]\n  3 -> 15 [size =\"24146944\"]\n  3 -> 17 [size =\"24146944\"]\n  4 [size=\"13404160\", alpha=\"0.06\", expect_size=\"6702080\"] \n  4 -> 12 [size =\"6702080\"]\n  4 -> 14 [size =\"6702080\"]\n  4 -> 15 [size =\"6702080\"]\n  4 -> 17 [size =\"6702080\"]\n  5 [size=\"29874176\", alpha=\"0.19\", expect_size=\"14937088\"] \n  5 -> 12 [size =\"14937088\"]\n  5 -> 15 [size =\"14937088\"]\n  5 -> 17 [size =\"14937088\"]\n  6 [size=\"79546368\", alpha=\"0.15\", expect_size=\"39773184\"] \n  6 -> 11 [size =\"39773184\"]\n  6 -> 12 [size =\"39773184\"]\n  6 -> 16 [size =\"39773184\"]\n  6 -> 18 [size =\"39773184\"]\n  7 [size=\"22169600\", alpha=\"0.13\", expect_size=\"11084800\"] \n  7 -> 12 [size =\"11084800\"]\n  7 -> 12 [size =\"11084800\"]\n  7 -> 15 [size =\"11084800\"]\n  7 -> 17 [size =\"11084800\"]\n  7 -> 18 [size =\"11084800\"]\n  8 [size=\"45772800\", alpha=\"0.08\", expect_size=\"22886400\"] \n  8 -> 11 [size =\"22886400\"]\n  8 -> 12 [size =\"22886400\"]\n  8 -> 14 [size =\"22886400\"]\n  8 -> 15 [size =\"22886400\"]\n  8 -> 17 [size =\"22886400\"]\n  8 -> 18 [size =\"22886400\"]\n  9 [size=\"87789568\", alpha=\"0.15\", expect_size=\"43894784\"] \n  9 -> 15 [size =\"43894784\"]\n  9 -> 18 [size =\"43894784\"]\n  10 [size=\"21180416\", alpha=\"0.15\", expect_size=\"10590208\"] \n  10 -> 15 [size =\"10590208\"]\n  10 -> 17 [size =\"10590208\"]\n  11 [size=\"83439616\", alpha=\"0.17\", expect_size=\"41719808\"] \n  11 -> 21 [size =\"41719808\"]\n  11 -> 22 [size =\"41719808\"]\n  11 -> 23 [size =\"41719808\"]\n  11 -> 26 [size =\"41719808\"]\n  11 -> 27 [size =\"41719808\"]\n  11 -> 28 [size =\"41719808\"]\n  11 -> 29 [size =\"41719808\"]\n  11 -> 30 [size =\"41719808\"]\n  11 -> 33 [size =\"41719808\"]\n  12 [size=\"69201920\", alpha=\"0.01\", expect_size=\"34600960\"] \n  12 -> 19 [size =\"34600960\"]\n  12 -> 20 [size =\"34600960\"]\n  12 -> 21 [size =\"34600960\"]\n  12 -> 24 [size =\"34600960\"]\n  12 -> 28 [size =\"34600960\"]\n  12 -> 30 [size =\"34600960\"]\n  12 -> 31 [size =\"34600960\"]\n  13 [size=\"79347712\", alpha=\"0.14\", expect_size=\"39673856\"] \n  13 -> 19 [size =\"39673856\"]\n  13 -> 24 [size =\"39673856\"]\n  13 -> 25 [size =\"39673856\"]\n  13 -> 26 [size =\"39673856\"]\n  13 -> 28 [size =\"39673856\"]\n  13 -> 30 [size =\"39673856\"]\n  13 -> 33 [size =\"39673856\"]\n  14 [size=\"84897792\", alpha=\"0.09\", expect_size=\"42448896\"] \n  14 -> 19 [size =\"42448896\"]\n  14 -> 24 [size =\"42448896\"]\n  14 -> 28 [size =\"42448896\"]\n  14 -> 29 [size =\"42448896\"]\n  14 -> 30 [size =\"42448896\"]\n  14 -> 31 [size =\"42448896\"]\n  14 -> 32 [size =\"42448896\"]\n  15 [size=\"17004544\", alpha=\"0.07\", expect_size=\"8502272\"] \n  15 -> 19 [size =\"8502272\"]\n  15 -> 20 [size =\"8502272\"]\n  15 -> 24 [size =\"8502272\"]\n  15 -> 28 [size =\"8502272\"]\n  15 -> 29 [size =\"8502272\"]\n  15 -> 33 [size =\"8502272\"]\n  16 [size=\"14120960\", alpha=\"0.10\", expect_size=\"7060480\"] \n  16 -> 19 [size =\"7060480\"]\n  16 -> 22 [size =\"7060480\"]\n  16 -> 23 [size =\"7060480\"]\n  16 -> 24 [size =\"7060480\"]\n  16 -> 25 [size =\"7060480\"]\n  16 -> 28 [size =\"7060480\"]\n  16 -> 30 [size =\"7060480\"]\n  16 -> 31 [size =\"7060480\"]\n  16 -> 33 [size =\"7060480\"]\n  17 [size=\"85991424\", alpha=\"0.16\", expect_size=\"42995712\"] \n  17 -> 19 [size =\"42995712\"]\n  17 -> 20 [size =\"42995712\"]\n  17 -> 23 [size =\"42995712\"]\n  17 -> 24 [size =\"42995712\"]\n  17 -> 25 [size =\"42995712\"]\n  17 -> 28 [size =\"42995712\"]\n  17 -> 30 [size =\"42995712\"]\n  17 -> 31 [size =\"42995712\"]\n  17 -> 33 [size =\"42995712\"]\n  18 [size=\"55220224\", alpha=\"0.01\", expect_size=\"27610112\"] \n  18 -> 19 [size =\"27610112\"]\n  18 -> 22 [size =\"27610112\"]\n  18 -> 23 [size =\"27610112\"]\n  18 -> 25 [size =\"27610112\"]\n  18 -> 26 [size =\"27610112\"]\n  18 -> 28 [size =\"27610112\"]\n  18 -> 29 [size =\"27610112\"]\n  18 -> 30 [size =\"27610112\"]\n  18 -> 31 [size =\"27610112\"]\n  18 -> 33 [size =\"27610112\"]\n  19 [size=\"94238720\", alpha=\"0.09\", expect_size=\"47119360\"] \n  19 -> 34 [size =\"47119360\"]\n  20 [size=\"72878080\", alpha=\"0.19\", expect_size=\"36439040\"] \n  20 -> 34 [size =\"36439040\"]\n  21 [size=\"47568896\", alpha=\"0.17\", expect_size=\"23784448\"] \n  21 -> 34 [size =\"23784448\"]\n  22 [size=\"34377728\", alpha=\"0.03\", expect_size=\"17188864\"] \n  22 -> 34 [size =\"17188864\"]\n  23 [size=\"39424000\", alpha=\"0.17\", expect_size=\"19712000\"] \n  23 -> 34 [size =\"19712000\"]\n  24 [size=\"103452672\", alpha=\"0.11\", expect_size=\"51726336\"] \n  24 -> 34 [size =\"51726336\"]\n  25 [size=\"53884928\", alpha=\"0.09\", expect_size=\"26942464\"] \n  26 [size=\"88764416\", alpha=\"0.03\", expect_size=\"44382208\"] \n  26 -> 34 [size =\"44382208\"]\n  26 -> 35 [size =\"44382208\"]\n  27 [size=\"39256064\", alpha=\"0.18\", expect_size=\"19628032\"] \n  28 [size=\"20424704\", alpha=\"0.01\", expect_size=\"10212352\"] \n  28 -> 35 [size =\"10212352\"]\n  29 [size=\"25264128\", alpha=\"0.00\", expect_size=\"12632064\"] \n  30 [size=\"68491264\", alpha=\"0.02\", expect_size=\"34245632\"] \n  30 -> 34 [size =\"34245632\"]\n  31 [size=\"62949376\", alpha=\"0.19\", expect_size=\"31474688\"] \n  31 -> 34 [size =\"31474688\"]\n  31 -> 35 [size =\"31474688\"]\n  32 [size=\"50681856\", alpha=\"0.09\", expect_size=\"25340928\"] \n  32 -> 34 [size =\"25340928\"]\n  32 -> 35 [size =\"25340928\"]\n  33 [size=\"65175552\", alpha=\"0.13\", expect_size=\"32587776\"] \n  33 -> 34 [size =\"32587776\"]\n  34 [size=\"49870848\", alpha=\"0.13\", expect_size=\"24935424\"] \n  35 [size=\"102055936\", alpha=\"0.14\", expect_size=\"51027968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64945493\", alpha=\"0.08\", expect_size=\"19483648\"] \n  1 -> 7 [size =\"19483648\"]\n  1 -> 9 [size =\"19483648\"]\n  1 -> 10 [size =\"19483648\"]\n  2 [size=\"166239573\", alpha=\"0.13\", expect_size=\"49871872\"] \n  2 -> 6 [size =\"49871872\"]\n  2 -> 7 [size =\"49871872\"]\n  2 -> 9 [size =\"49871872\"]\n  3 [size=\"139506347\", alpha=\"0.01\", expect_size=\"41851904\"] \n  3 -> 6 [size =\"41851904\"]\n  3 -> 7 [size =\"41851904\"]\n  3 -> 9 [size =\"41851904\"]\n  4 [size=\"162003627\", alpha=\"0.01\", expect_size=\"48601088\"] \n  4 -> 6 [size =\"48601088\"]\n  4 -> 7 [size =\"48601088\"]\n  4 -> 9 [size =\"48601088\"]\n  4 -> 10 [size =\"48601088\"]\n  5 [size=\"56016213\", alpha=\"0.01\", expect_size=\"16804864\"] \n  5 -> 6 [size =\"16804864\"]\n  5 -> 7 [size =\"16804864\"]\n  5 -> 8 [size =\"16804864\"]\n  5 -> 9 [size =\"16804864\"]\n  6 [size=\"27026773\", alpha=\"0.17\", expect_size=\"8108032\"] \n  6 -> 11 [size =\"8108032\"]\n  6 -> 12 [size =\"8108032\"]\n  6 -> 13 [size =\"8108032\"]\n  6 -> 14 [size =\"8108032\"]\n  7 [size=\"43025067\", alpha=\"0.20\", expect_size=\"12907520\"] \n  7 -> 11 [size =\"12907520\"]\n  7 -> 12 [size =\"12907520\"]\n  7 -> 13 [size =\"12907520\"]\n  7 -> 14 [size =\"12907520\"]\n  8 [size=\"100044800\", alpha=\"0.10\", expect_size=\"30013440\"] \n  8 -> 11 [size =\"30013440\"]\n  8 -> 12 [size =\"30013440\"]\n  8 -> 13 [size =\"30013440\"]\n  8 -> 14 [size =\"30013440\"]\n  9 [size=\"84452693\", alpha=\"0.16\", expect_size=\"25335808\"] \n  9 -> 12 [size =\"25335808\"]\n  9 -> 13 [size =\"25335808\"]\n  10 [size=\"54807893\", alpha=\"0.18\", expect_size=\"16442368\"] \n  10 -> 11 [size =\"16442368\"]\n  10 -> 12 [size =\"16442368\"]\n  10 -> 13 [size =\"16442368\"]\n  10 -> 14 [size =\"16442368\"]\n  11 [size=\"45779627\", alpha=\"0.13\", expect_size=\"13733888\"] \n  11 -> 16 [size =\"13733888\"]\n  11 -> 17 [size =\"13733888\"]\n  11 -> 17 [size =\"13733888\"]\n  11 -> 18 [size =\"13733888\"]\n  12 [size=\"111363413\", alpha=\"0.10\", expect_size=\"33409024\"] \n  12 -> 18 [size =\"33409024\"]\n  13 [size=\"53418667\", alpha=\"0.04\", expect_size=\"16025600\"] \n  13 -> 15 [size =\"16025600\"]\n  13 -> 16 [size =\"16025600\"]\n  13 -> 17 [size =\"16025600\"]\n  13 -> 18 [size =\"16025600\"]\n  14 [size=\"63713280\", alpha=\"0.01\", expect_size=\"19113984\"] \n  14 -> 16 [size =\"19113984\"]\n  14 -> 16 [size =\"19113984\"]\n  14 -> 17 [size =\"19113984\"]\n  14 -> 18 [size =\"19113984\"]\n  15 [size=\"71884800\", alpha=\"0.19\", expect_size=\"21565440\"] \n  15 -> 20 [size =\"21565440\"]\n  15 -> 22 [size =\"21565440\"]\n  16 [size=\"75905707\", alpha=\"0.01\", expect_size=\"22771712\"] \n  16 -> 20 [size =\"22771712\"]\n  16 -> 21 [size =\"22771712\"]\n  16 -> 22 [size =\"22771712\"]\n  17 [size=\"48896000\", alpha=\"0.07\", expect_size=\"14668800\"] \n  17 -> 19 [size =\"14668800\"]\n  17 -> 20 [size =\"14668800\"]\n  17 -> 21 [size =\"14668800\"]\n  17 -> 22 [size =\"14668800\"]\n  17 -> 23 [size =\"14668800\"]\n  18 [size=\"48817493\", alpha=\"0.17\", expect_size=\"14645248\"] \n  18 -> 19 [size =\"14645248\"]\n  18 -> 21 [size =\"14645248\"]\n  18 -> 21 [size =\"14645248\"]\n  18 -> 22 [size =\"14645248\"]\n  19 [size=\"129017173\", alpha=\"0.09\", expect_size=\"38705152\"] \n  19 -> 24 [size =\"38705152\"]\n  19 -> 27 [size =\"38705152\"]\n  20 [size=\"99003733\", alpha=\"0.11\", expect_size=\"29701120\"] \n  20 -> 24 [size =\"29701120\"]\n  20 -> 25 [size =\"29701120\"]\n  20 -> 27 [size =\"29701120\"]\n  21 [size=\"80066560\", alpha=\"0.20\", expect_size=\"24019968\"] \n  21 -> 24 [size =\"24019968\"]\n  21 -> 26 [size =\"24019968\"]\n  21 -> 27 [size =\"24019968\"]\n  22 [size=\"25879893\", alpha=\"0.07\", expect_size=\"7763968\"] \n  22 -> 24 [size =\"7763968\"]\n  22 -> 26 [size =\"7763968\"]\n  22 -> 27 [size =\"7763968\"]\n  23 [size=\"107001173\", alpha=\"0.11\", expect_size=\"32100352\"] \n  23 -> 24 [size =\"32100352\"]\n  23 -> 27 [size =\"32100352\"]\n  23 -> 28 [size =\"32100352\"]\n  24 [size=\"140683947\", alpha=\"0.12\", expect_size=\"42205184\"] \n  24 -> 30 [size =\"42205184\"]\n  25 [size=\"151415467\", alpha=\"0.18\", expect_size=\"45424640\"] \n  25 -> 30 [size =\"45424640\"]\n  25 -> 31 [size =\"45424640\"]\n  26 [size=\"141356373\", alpha=\"0.06\", expect_size=\"42406912\"] \n  26 -> 29 [size =\"42406912\"]\n  26 -> 30 [size =\"42406912\"]\n  26 -> 31 [size =\"42406912\"]\n  26 -> 32 [size =\"42406912\"]\n  27 [size=\"151784107\", alpha=\"0.17\", expect_size=\"45535232\"] \n  27 -> 30 [size =\"45535232\"]\n  27 -> 31 [size =\"45535232\"]\n  27 -> 31 [size =\"45535232\"]\n  28 [size=\"52224000\", alpha=\"0.18\", expect_size=\"15667200\"] \n  28 -> 29 [size =\"15667200\"]\n  28 -> 31 [size =\"15667200\"]\n  28 -> 32 [size =\"15667200\"]\n  29 [size=\"31433387\", alpha=\"0.08\", expect_size=\"9430016\"] \n  29 -> 34 [size =\"9430016\"]\n  29 -> 35 [size =\"9430016\"]\n  30 [size=\"99157333\", alpha=\"0.03\", expect_size=\"29747200\"] \n  30 -> 33 [size =\"29747200\"]\n  30 -> 35 [size =\"29747200\"]\n  31 [size=\"30184107\", alpha=\"0.01\", expect_size=\"9055232\"] \n  31 -> 33 [size =\"9055232\"]\n  31 -> 34 [size =\"9055232\"]\n  31 -> 35 [size =\"9055232\"]\n  32 [size=\"29269333\", alpha=\"0.11\", expect_size=\"8780800\"] \n  32 -> 34 [size =\"8780800\"]\n  32 -> 35 [size =\"8780800\"]\n  33 [size=\"87886507\", alpha=\"0.06\", expect_size=\"26365952\"] \n  34 [size=\"170789547\", alpha=\"0.06\", expect_size=\"51236864\"] \n  35 [size=\"107929600\", alpha=\"0.14\", expect_size=\"32378880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107156480\", alpha=\"0.06\", expect_size=\"42862592\"] \n  1 -> 2 [size =\"42862592\"]\n  2 [size=\"22010880\", alpha=\"0.14\", expect_size=\"8804352\"] \n  2 -> 3 [size =\"8804352\"]\n  2 -> 4 [size =\"8804352\"]\n  3 [size=\"89231360\", alpha=\"0.18\", expect_size=\"35692544\"] \n  3 -> 5 [size =\"35692544\"]\n  4 [size=\"115906560\", alpha=\"0.07\", expect_size=\"46362624\"] \n  5 [size=\"19020800\", alpha=\"0.03\", expect_size=\"7608320\"] \n  5 -> 6 [size =\"7608320\"]\n  6 [size=\"81748480\", alpha=\"0.12\", expect_size=\"32699392\"] \n  6 -> 7 [size =\"32699392\"]\n  7 [size=\"74086400\", alpha=\"0.05\", expect_size=\"29634560\"] \n  7 -> 8 [size =\"29634560\"]\n  7 -> 9 [size =\"29634560\"]\n  8 [size=\"101724160\", alpha=\"0.17\", expect_size=\"40689664\"] \n  8 -> 11 [size =\"40689664\"]\n  9 [size=\"34237440\", alpha=\"0.12\", expect_size=\"13694976\"] \n  9 -> 10 [size =\"13694976\"]\n  10 [size=\"19491840\", alpha=\"0.02\", expect_size=\"7796736\"] \n  11 [size=\"70295040\", alpha=\"0.03\", expect_size=\"28118016\"] \n  11 -> 12 [size =\"28118016\"]\n  12 [size=\"104089600\", alpha=\"0.17\", expect_size=\"41635840\"] \n  12 -> 13 [size =\"41635840\"]\n  13 [size=\"66841600\", alpha=\"0.12\", expect_size=\"26736640\"] \n  13 -> 14 [size =\"26736640\"]\n  13 -> 15 [size =\"26736640\"]\n  14 [size=\"56389120\", alpha=\"0.19\", expect_size=\"22555648\"] \n  14 -> 16 [size =\"22555648\"]\n  14 -> 17 [size =\"22555648\"]\n  15 [size=\"97768960\", alpha=\"0.07\", expect_size=\"39107584\"] \n  16 [size=\"114639360\", alpha=\"0.04\", expect_size=\"45855744\"] \n  17 [size=\"66014720\", alpha=\"0.15\", expect_size=\"26405888\"] \n  17 -> 18 [size =\"26405888\"]\n  17 -> 19 [size =\"26405888\"]\n  18 [size=\"95500800\", alpha=\"0.02\", expect_size=\"38200320\"] \n  18 -> 20 [size =\"38200320\"]\n  19 [size=\"79754240\", alpha=\"0.07\", expect_size=\"31901696\"] \n  20 [size=\"33213440\", alpha=\"0.11\", expect_size=\"13285376\"] \n  20 -> 21 [size =\"13285376\"]\n  20 -> 22 [size =\"13285376\"]\n  21 [size=\"42600960\", alpha=\"0.10\", expect_size=\"17040384\"] \n  21 -> 23 [size =\"17040384\"]\n  21 -> 24 [size =\"17040384\"]\n  22 [size=\"62182400\", alpha=\"0.10\", expect_size=\"24872960\"] \n  23 [size=\"44917760\", alpha=\"0.04\", expect_size=\"17967104\"] \n  23 -> 25 [size =\"17967104\"]\n  24 [size=\"113459200\", alpha=\"0.15\", expect_size=\"45383680\"] \n  25 [size=\"110374400\", alpha=\"0.07\", expect_size=\"44149760\"] \n  25 -> 26 [size =\"44149760\"]\n  25 -> 27 [size =\"44149760\"]\n  26 [size=\"36567040\", alpha=\"0.11\", expect_size=\"14626816\"] \n  26 -> 28 [size =\"14626816\"]\n  27 [size=\"58380800\", alpha=\"0.05\", expect_size=\"23352320\"] \n  27 -> 29 [size =\"23352320\"]\n  28 [size=\"30312960\", alpha=\"0.14\", expect_size=\"12125184\"] \n  29 [size=\"41472000\", alpha=\"0.06\", expect_size=\"16588800\"] \n  29 -> 30 [size =\"16588800\"]\n  29 -> 31 [size =\"16588800\"]\n  30 [size=\"85148160\", alpha=\"0.20\", expect_size=\"34059264\"] \n  30 -> 33 [size =\"34059264\"]\n  31 [size=\"29788160\", alpha=\"0.03\", expect_size=\"11915264\"] \n  31 -> 32 [size =\"11915264\"]\n  32 [size=\"87406080\", alpha=\"0.02\", expect_size=\"34962432\"] \n  33 [size=\"30981120\", alpha=\"0.10\", expect_size=\"12392448\"] \n  33 -> 34 [size =\"12392448\"]\n  34 [size=\"54599680\", alpha=\"0.05\", expect_size=\"21839872\"] \n  34 -> 35 [size =\"21839872\"]\n  35 [size=\"25136640\", alpha=\"0.15\", expect_size=\"10054656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57763840\", alpha=\"0.08\", expect_size=\"23105536\"] \n  1 -> 2 [size =\"23105536\"]\n  2 [size=\"72115200\", alpha=\"0.10\", expect_size=\"28846080\"] \n  2 -> 3 [size =\"28846080\"]\n  3 [size=\"66629120\", alpha=\"0.09\", expect_size=\"26651648\"] \n  3 -> 4 [size =\"26651648\"]\n  4 [size=\"106365440\", alpha=\"0.00\", expect_size=\"42546176\"] \n  4 -> 5 [size =\"42546176\"]\n  5 [size=\"22558720\", alpha=\"0.03\", expect_size=\"9023488\"] \n  5 -> 6 [size =\"9023488\"]\n  6 [size=\"45721600\", alpha=\"0.14\", expect_size=\"18288640\"] \n  6 -> 7 [size =\"18288640\"]\n  7 [size=\"26032640\", alpha=\"0.15\", expect_size=\"10413056\"] \n  7 -> 8 [size =\"10413056\"]\n  8 [size=\"113423360\", alpha=\"0.07\", expect_size=\"45369344\"] \n  8 -> 9 [size =\"45369344\"]\n  9 [size=\"97354240\", alpha=\"0.16\", expect_size=\"38941696\"] \n  9 -> 10 [size =\"38941696\"]\n  10 [size=\"74493440\", alpha=\"0.01\", expect_size=\"29797376\"] \n  10 -> 11 [size =\"29797376\"]\n  11 [size=\"60825600\", alpha=\"0.14\", expect_size=\"24330240\"] \n  11 -> 12 [size =\"24330240\"]\n  12 [size=\"107604480\", alpha=\"0.08\", expect_size=\"43041792\"] \n  12 -> 13 [size =\"43041792\"]\n  13 [size=\"49658880\", alpha=\"0.14\", expect_size=\"19863552\"] \n  13 -> 14 [size =\"19863552\"]\n  14 [size=\"105287680\", alpha=\"0.05\", expect_size=\"42115072\"] \n  14 -> 15 [size =\"42115072\"]\n  15 [size=\"105927680\", alpha=\"0.06\", expect_size=\"42371072\"] \n  15 -> 16 [size =\"42371072\"]\n  16 [size=\"121164800\", alpha=\"0.07\", expect_size=\"48465920\"] \n  16 -> 17 [size =\"48465920\"]\n  17 [size=\"87001600\", alpha=\"0.08\", expect_size=\"34800640\"] \n  17 -> 18 [size =\"34800640\"]\n  18 [size=\"58135040\", alpha=\"0.10\", expect_size=\"23254016\"] \n  18 -> 19 [size =\"23254016\"]\n  19 [size=\"97530880\", alpha=\"0.08\", expect_size=\"39012352\"] \n  19 -> 20 [size =\"39012352\"]\n  20 [size=\"73287680\", alpha=\"0.02\", expect_size=\"29315072\"] \n  20 -> 21 [size =\"29315072\"]\n  21 [size=\"76485120\", alpha=\"0.04\", expect_size=\"30594048\"] \n  21 -> 22 [size =\"30594048\"]\n  22 [size=\"42357760\", alpha=\"0.15\", expect_size=\"16943104\"] \n  22 -> 23 [size =\"16943104\"]\n  23 [size=\"91619840\", alpha=\"0.16\", expect_size=\"36647936\"] \n  23 -> 24 [size =\"36647936\"]\n  24 [size=\"58291200\", alpha=\"0.13\", expect_size=\"23316480\"] \n  24 -> 25 [size =\"23316480\"]\n  25 [size=\"88865280\", alpha=\"0.11\", expect_size=\"35546112\"] \n  25 -> 26 [size =\"35546112\"]\n  26 [size=\"121461760\", alpha=\"0.15\", expect_size=\"48584704\"] \n  26 -> 27 [size =\"48584704\"]\n  27 [size=\"42124800\", alpha=\"0.01\", expect_size=\"16849920\"] \n  27 -> 28 [size =\"16849920\"]\n  28 [size=\"92034560\", alpha=\"0.04\", expect_size=\"36813824\"] \n  28 -> 29 [size =\"36813824\"]\n  29 [size=\"35330560\", alpha=\"0.01\", expect_size=\"14132224\"] \n  29 -> 30 [size =\"14132224\"]\n  30 [size=\"81881600\", alpha=\"0.08\", expect_size=\"32752640\"] \n  30 -> 31 [size =\"32752640\"]\n  31 [size=\"93864960\", alpha=\"0.04\", expect_size=\"37545984\"] \n  31 -> 32 [size =\"37545984\"]\n  32 [size=\"115937280\", alpha=\"0.16\", expect_size=\"46374912\"] \n  32 -> 33 [size =\"46374912\"]\n  33 [size=\"89149440\", alpha=\"0.14\", expect_size=\"35659776\"] \n  33 -> 34 [size =\"35659776\"]\n  34 [size=\"67020800\", alpha=\"0.07\", expect_size=\"26808320\"] \n  34 -> 35 [size =\"26808320\"]\n  35 [size=\"24844800\", alpha=\"0.17\", expect_size=\"9937920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random35_test/random.35.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:05:36 2019\n// ./daggen --dot -n 35 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73783296\", alpha=\"0.13\", expect_size=\"36891648\"] \n  1 -> 2 [size =\"36891648\"]\n  2 [size=\"93229056\", alpha=\"0.18\", expect_size=\"46614528\"] \n  2 -> 3 [size =\"46614528\"]\n  3 [size=\"90011648\", alpha=\"0.14\", expect_size=\"45005824\"] \n  3 -> 4 [size =\"45005824\"]\n  4 [size=\"36497408\", alpha=\"0.13\", expect_size=\"18248704\"] \n  4 -> 5 [size =\"18248704\"]\n  5 [size=\"97296384\", alpha=\"0.13\", expect_size=\"48648192\"] \n  5 -> 6 [size =\"48648192\"]\n  6 [size=\"51087360\", alpha=\"0.06\", expect_size=\"25543680\"] \n  6 -> 7 [size =\"25543680\"]\n  7 [size=\"72579072\", alpha=\"0.16\", expect_size=\"36289536\"] \n  7 -> 8 [size =\"36289536\"]\n  8 [size=\"90226688\", alpha=\"0.15\", expect_size=\"45113344\"] \n  8 -> 9 [size =\"45113344\"]\n  9 [size=\"46319616\", alpha=\"0.09\", expect_size=\"23159808\"] \n  9 -> 10 [size =\"23159808\"]\n  10 [size=\"64438272\", alpha=\"0.10\", expect_size=\"32219136\"] \n  10 -> 11 [size =\"32219136\"]\n  11 [size=\"55748608\", alpha=\"0.19\", expect_size=\"27874304\"] \n  11 -> 12 [size =\"27874304\"]\n  12 [size=\"21760000\", alpha=\"0.11\", expect_size=\"10880000\"] \n  12 -> 13 [size =\"10880000\"]\n  13 [size=\"14059520\", alpha=\"0.00\", expect_size=\"7029760\"] \n  13 -> 14 [size =\"7029760\"]\n  14 [size=\"78258176\", alpha=\"0.14\", expect_size=\"39129088\"] \n  14 -> 15 [size =\"39129088\"]\n  15 [size=\"43266048\", alpha=\"0.18\", expect_size=\"21633024\"] \n  15 -> 16 [size =\"21633024\"]\n  16 [size=\"103127040\", alpha=\"0.15\", expect_size=\"51563520\"] \n  16 -> 17 [size =\"51563520\"]\n  17 [size=\"38756352\", alpha=\"0.08\", expect_size=\"19378176\"] \n  17 -> 18 [size =\"19378176\"]\n  18 [size=\"21245952\", alpha=\"0.19\", expect_size=\"10622976\"] \n  18 -> 19 [size =\"10622976\"]\n  19 [size=\"94363648\", alpha=\"0.07\", expect_size=\"47181824\"] \n  19 -> 20 [size =\"47181824\"]\n  20 [size=\"42987520\", alpha=\"0.01\", expect_size=\"21493760\"] \n  20 -> 21 [size =\"21493760\"]\n  21 [size=\"91185152\", alpha=\"0.08\", expect_size=\"45592576\"] \n  21 -> 22 [size =\"45592576\"]\n  22 [size=\"86890496\", alpha=\"0.13\", expect_size=\"43445248\"] \n  22 -> 23 [size =\"43445248\"]\n  23 [size=\"42315776\", alpha=\"0.14\", expect_size=\"21157888\"] \n  23 -> 24 [size =\"21157888\"]\n  24 [size=\"43401216\", alpha=\"0.01\", expect_size=\"21700608\"] \n  24 -> 25 [size =\"21700608\"]\n  25 [size=\"16291840\", alpha=\"0.07\", expect_size=\"8145920\"] \n  25 -> 26 [size =\"8145920\"]\n  26 [size=\"102035456\", alpha=\"0.01\", expect_size=\"51017728\"] \n  26 -> 27 [size =\"51017728\"]\n  27 [size=\"80476160\", alpha=\"0.08\", expect_size=\"40238080\"] \n  27 -> 28 [size =\"40238080\"]\n  28 [size=\"24532992\", alpha=\"0.12\", expect_size=\"12266496\"] \n  28 -> 29 [size =\"12266496\"]\n  29 [size=\"19425280\", alpha=\"0.04\", expect_size=\"9712640\"] \n  29 -> 30 [size =\"9712640\"]\n  30 [size=\"54401024\", alpha=\"0.07\", expect_size=\"27200512\"] \n  30 -> 31 [size =\"27200512\"]\n  31 [size=\"59684864\", alpha=\"0.20\", expect_size=\"29842432\"] \n  31 -> 32 [size =\"29842432\"]\n  32 [size=\"98578432\", alpha=\"0.15\", expect_size=\"49289216\"] \n  32 -> 33 [size =\"49289216\"]\n  33 [size=\"65079296\", alpha=\"0.11\", expect_size=\"32539648\"] \n  33 -> 34 [size =\"32539648\"]\n  34 [size=\"38717440\", alpha=\"0.01\", expect_size=\"19358720\"] \n  34 -> 35 [size =\"19358720\"]\n  35 [size=\"45504512\", alpha=\"0.18\", expect_size=\"22752256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47138133\", alpha=\"0.02\", expect_size=\"14141440\"] \n  1 -> 24 [size =\"14141440\"]\n  1 -> 32 [size =\"14141440\"]\n  1 -> 34 [size =\"14141440\"]\n  1 -> 36 [size =\"14141440\"]\n  1 -> 37 [size =\"14141440\"]\n  1 -> 40 [size =\"14141440\"]\n  2 [size=\"121934507\", alpha=\"0.13\", expect_size=\"36580352\"] \n  2 -> 24 [size =\"36580352\"]\n  2 -> 29 [size =\"36580352\"]\n  2 -> 34 [size =\"36580352\"]\n  2 -> 37 [size =\"36580352\"]\n  2 -> 37 [size =\"36580352\"]\n  2 -> 40 [size =\"36580352\"]\n  3 [size=\"37874347\", alpha=\"0.14\", expect_size=\"11362304\"] \n  3 -> 24 [size =\"11362304\"]\n  3 -> 25 [size =\"11362304\"]\n  3 -> 27 [size =\"11362304\"]\n  3 -> 28 [size =\"11362304\"]\n  3 -> 30 [size =\"11362304\"]\n  3 -> 31 [size =\"11362304\"]\n  3 -> 32 [size =\"11362304\"]\n  3 -> 33 [size =\"11362304\"]\n  3 -> 34 [size =\"11362304\"]\n  3 -> 36 [size =\"11362304\"]\n  3 -> 37 [size =\"11362304\"]\n  3 -> 40 [size =\"11362304\"]\n  4 [size=\"82066773\", alpha=\"0.09\", expect_size=\"24620032\"] \n  4 -> 24 [size =\"24620032\"]\n  4 -> 27 [size =\"24620032\"]\n  4 -> 27 [size =\"24620032\"]\n  4 -> 29 [size =\"24620032\"]\n  4 -> 30 [size =\"24620032\"]\n  4 -> 31 [size =\"24620032\"]\n  4 -> 33 [size =\"24620032\"]\n  4 -> 34 [size =\"24620032\"]\n  4 -> 34 [size =\"24620032\"]\n  4 -> 40 [size =\"24620032\"]\n  5 [size=\"105362773\", alpha=\"0.09\", expect_size=\"31608832\"] \n  5 -> 27 [size =\"31608832\"]\n  5 -> 29 [size =\"31608832\"]\n  5 -> 31 [size =\"31608832\"]\n  5 -> 32 [size =\"31608832\"]\n  5 -> 33 [size =\"31608832\"]\n  5 -> 34 [size =\"31608832\"]\n  5 -> 37 [size =\"31608832\"]\n  5 -> 39 [size =\"31608832\"]\n  5 -> 40 [size =\"31608832\"]\n  6 [size=\"142336000\", alpha=\"0.19\", expect_size=\"42700800\"] \n  6 -> 29 [size =\"42700800\"]\n  6 -> 29 [size =\"42700800\"]\n  6 -> 32 [size =\"42700800\"]\n  6 -> 32 [size =\"42700800\"]\n  6 -> 34 [size =\"42700800\"]\n  6 -> 39 [size =\"42700800\"]\n  7 [size=\"30416213\", alpha=\"0.18\", expect_size=\"9124864\"] \n  7 -> 24 [size =\"9124864\"]\n  7 -> 25 [size =\"9124864\"]\n  7 -> 26 [size =\"9124864\"]\n  7 -> 27 [size =\"9124864\"]\n  7 -> 28 [size =\"9124864\"]\n  7 -> 29 [size =\"9124864\"]\n  7 -> 31 [size =\"9124864\"]\n  7 -> 39 [size =\"9124864\"]\n  7 -> 40 [size =\"9124864\"]\n  8 [size=\"158098773\", alpha=\"0.07\", expect_size=\"47429632\"] \n  8 -> 24 [size =\"47429632\"]\n  8 -> 30 [size =\"47429632\"]\n  8 -> 32 [size =\"47429632\"]\n  8 -> 40 [size =\"47429632\"]\n  9 [size=\"71229440\", alpha=\"0.10\", expect_size=\"21368832\"] \n  9 -> 24 [size =\"21368832\"]\n  9 -> 25 [size =\"21368832\"]\n  9 -> 27 [size =\"21368832\"]\n  9 -> 32 [size =\"21368832\"]\n  9 -> 35 [size =\"21368832\"]\n  9 -> 36 [size =\"21368832\"]\n  10 [size=\"32737280\", alpha=\"0.15\", expect_size=\"9821184\"] \n  10 -> 24 [size =\"9821184\"]\n  10 -> 25 [size =\"9821184\"]\n  10 -> 27 [size =\"9821184\"]\n  10 -> 29 [size =\"9821184\"]\n  10 -> 30 [size =\"9821184\"]\n  10 -> 31 [size =\"9821184\"]\n  10 -> 40 [size =\"9821184\"]\n  11 [size=\"90197333\", alpha=\"0.05\", expect_size=\"27059200\"] \n  11 -> 27 [size =\"27059200\"]\n  11 -> 33 [size =\"27059200\"]\n  11 -> 34 [size =\"27059200\"]\n  11 -> 38 [size =\"27059200\"]\n  12 [size=\"102454613\", alpha=\"0.06\", expect_size=\"30736384\"] \n  12 -> 24 [size =\"30736384\"]\n  12 -> 25 [size =\"30736384\"]\n  12 -> 27 [size =\"30736384\"]\n  12 -> 29 [size =\"30736384\"]\n  12 -> 40 [size =\"30736384\"]\n  13 [size=\"44366507\", alpha=\"0.16\", expect_size=\"13309952\"] \n  13 -> 29 [size =\"13309952\"]\n  13 -> 30 [size =\"13309952\"]\n  13 -> 31 [size =\"13309952\"]\n  13 -> 34 [size =\"13309952\"]\n  13 -> 35 [size =\"13309952\"]\n  13 -> 36 [size =\"13309952\"]\n  13 -> 37 [size =\"13309952\"]\n  13 -> 38 [size =\"13309952\"]\n  13 -> 40 [size =\"13309952\"]\n  14 [size=\"153429333\", alpha=\"0.09\", expect_size=\"46028800\"] \n  14 -> 26 [size =\"46028800\"]\n  14 -> 27 [size =\"46028800\"]\n  14 -> 29 [size =\"46028800\"]\n  14 -> 30 [size =\"46028800\"]\n  14 -> 34 [size =\"46028800\"]\n  14 -> 36 [size =\"46028800\"]\n  15 [size=\"69512533\", alpha=\"0.04\", expect_size=\"20853760\"] \n  15 -> 25 [size =\"20853760\"]\n  15 -> 27 [size =\"20853760\"]\n  15 -> 29 [size =\"20853760\"]\n  15 -> 30 [size =\"20853760\"]\n  15 -> 33 [size =\"20853760\"]\n  15 -> 37 [size =\"20853760\"]\n  15 -> 40 [size =\"20853760\"]\n  16 [size=\"136693760\", alpha=\"0.07\", expect_size=\"41008128\"] \n  16 -> 30 [size =\"41008128\"]\n  16 -> 31 [size =\"41008128\"]\n  16 -> 34 [size =\"41008128\"]\n  16 -> 40 [size =\"41008128\"]\n  17 [size=\"128812373\", alpha=\"0.16\", expect_size=\"38643712\"] \n  17 -> 26 [size =\"38643712\"]\n  17 -> 34 [size =\"38643712\"]\n  17 -> 37 [size =\"38643712\"]\n  17 -> 39 [size =\"38643712\"]\n  17 -> 40 [size =\"38643712\"]\n  18 [size=\"111906133\", alpha=\"0.10\", expect_size=\"33571840\"] \n  18 -> 24 [size =\"33571840\"]\n  18 -> 26 [size =\"33571840\"]\n  18 -> 27 [size =\"33571840\"]\n  18 -> 32 [size =\"33571840\"]\n  18 -> 33 [size =\"33571840\"]\n  18 -> 36 [size =\"33571840\"]\n  18 -> 37 [size =\"33571840\"]\n  18 -> 38 [size =\"33571840\"]\n  18 -> 39 [size =\"33571840\"]\n  18 -> 40 [size =\"33571840\"]\n  19 [size=\"165536427\", alpha=\"0.15\", expect_size=\"49660928\"] \n  19 -> 24 [size =\"49660928\"]\n  19 -> 29 [size =\"49660928\"]\n  19 -> 32 [size =\"49660928\"]\n  19 -> 33 [size =\"49660928\"]\n  19 -> 37 [size =\"49660928\"]\n  19 -> 38 [size =\"49660928\"]\n  19 -> 39 [size =\"49660928\"]\n  20 [size=\"83479893\", alpha=\"0.05\", expect_size=\"25043968\"] \n  20 -> 24 [size =\"25043968\"]\n  20 -> 26 [size =\"25043968\"]\n  20 -> 29 [size =\"25043968\"]\n  20 -> 30 [size =\"25043968\"]\n  20 -> 37 [size =\"25043968\"]\n  20 -> 38 [size =\"25043968\"]\n  20 -> 40 [size =\"25043968\"]\n  21 [size=\"44342613\", alpha=\"0.19\", expect_size=\"13302784\"] \n  21 -> 24 [size =\"13302784\"]\n  21 -> 25 [size =\"13302784\"]\n  21 -> 26 [size =\"13302784\"]\n  21 -> 27 [size =\"13302784\"]\n  21 -> 28 [size =\"13302784\"]\n  21 -> 32 [size =\"13302784\"]\n  21 -> 37 [size =\"13302784\"]\n  21 -> 38 [size =\"13302784\"]\n  22 [size=\"85060267\", alpha=\"0.06\", expect_size=\"25518080\"] \n  22 -> 27 [size =\"25518080\"]\n  22 -> 29 [size =\"25518080\"]\n  22 -> 31 [size =\"25518080\"]\n  22 -> 34 [size =\"25518080\"]\n  22 -> 36 [size =\"25518080\"]\n  22 -> 37 [size =\"25518080\"]\n  22 -> 37 [size =\"25518080\"]\n  23 [size=\"132915200\", alpha=\"0.15\", expect_size=\"39874560\"] \n  23 -> 24 [size =\"39874560\"]\n  23 -> 25 [size =\"39874560\"]\n  23 -> 26 [size =\"39874560\"]\n  23 -> 27 [size =\"39874560\"]\n  23 -> 29 [size =\"39874560\"]\n  23 -> 31 [size =\"39874560\"]\n  23 -> 32 [size =\"39874560\"]\n  23 -> 34 [size =\"39874560\"]\n  23 -> 37 [size =\"39874560\"]\n  23 -> 40 [size =\"39874560\"]\n  24 [size=\"103103147\", alpha=\"0.13\", expect_size=\"30930944\"] \n  25 [size=\"18094080\", alpha=\"0.02\", expect_size=\"5428224\"] \n  26 [size=\"50264747\", alpha=\"0.07\", expect_size=\"15079424\"] \n  27 [size=\"103867733\", alpha=\"0.13\", expect_size=\"31160320\"] \n  28 [size=\"73584640\", alpha=\"0.18\", expect_size=\"22075392\"] \n  29 [size=\"155545600\", alpha=\"0.09\", expect_size=\"46663680\"] \n  30 [size=\"118179840\", alpha=\"0.02\", expect_size=\"35453952\"] \n  31 [size=\"158839467\", alpha=\"0.05\", expect_size=\"47651840\"] \n  32 [size=\"149910187\", alpha=\"0.18\", expect_size=\"44973056\"] \n  33 [size=\"38560427\", alpha=\"0.14\", expect_size=\"11568128\"] \n  34 [size=\"159764480\", alpha=\"0.08\", expect_size=\"47929344\"] \n  35 [size=\"106250240\", alpha=\"0.09\", expect_size=\"31875072\"] \n  36 [size=\"123200853\", alpha=\"0.04\", expect_size=\"36960256\"] \n  37 [size=\"20896427\", alpha=\"0.14\", expect_size=\"6268928\"] \n  38 [size=\"126856533\", alpha=\"0.16\", expect_size=\"38056960\"] \n  39 [size=\"109847893\", alpha=\"0.17\", expect_size=\"32954368\"] \n  40 [size=\"23620267\", alpha=\"0.06\", expect_size=\"7086080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24805376\", alpha=\"0.12\", expect_size=\"12402688\"] \n  1 -> 18 [size =\"12402688\"]\n  1 -> 20 [size =\"12402688\"]\n  1 -> 24 [size =\"12402688\"]\n  1 -> 24 [size =\"12402688\"]\n  1 -> 25 [size =\"12402688\"]\n  1 -> 27 [size =\"12402688\"]\n  1 -> 29 [size =\"12402688\"]\n  1 -> 30 [size =\"12402688\"]\n  2 [size=\"83335168\", alpha=\"0.05\", expect_size=\"41667584\"] \n  2 -> 18 [size =\"41667584\"]\n  2 -> 20 [size =\"41667584\"]\n  2 -> 21 [size =\"41667584\"]\n  2 -> 22 [size =\"41667584\"]\n  2 -> 24 [size =\"41667584\"]\n  2 -> 25 [size =\"41667584\"]\n  2 -> 29 [size =\"41667584\"]\n  2 -> 30 [size =\"41667584\"]\n  3 [size=\"27555840\", alpha=\"0.05\", expect_size=\"13777920\"] \n  3 -> 17 [size =\"13777920\"]\n  3 -> 20 [size =\"13777920\"]\n  3 -> 21 [size =\"13777920\"]\n  3 -> 22 [size =\"13777920\"]\n  3 -> 24 [size =\"13777920\"]\n  3 -> 25 [size =\"13777920\"]\n  3 -> 26 [size =\"13777920\"]\n  3 -> 28 [size =\"13777920\"]\n  3 -> 29 [size =\"13777920\"]\n  4 [size=\"100894720\", alpha=\"0.11\", expect_size=\"50447360\"] \n  4 -> 18 [size =\"50447360\"]\n  4 -> 21 [size =\"50447360\"]\n  4 -> 24 [size =\"50447360\"]\n  4 -> 26 [size =\"50447360\"]\n  4 -> 28 [size =\"50447360\"]\n  4 -> 29 [size =\"50447360\"]\n  4 -> 30 [size =\"50447360\"]\n  5 [size=\"73877504\", alpha=\"0.07\", expect_size=\"36938752\"] \n  5 -> 24 [size =\"36938752\"]\n  5 -> 26 [size =\"36938752\"]\n  5 -> 28 [size =\"36938752\"]\n  6 [size=\"60643328\", alpha=\"0.05\", expect_size=\"30321664\"] \n  6 -> 17 [size =\"30321664\"]\n  6 -> 20 [size =\"30321664\"]\n  6 -> 24 [size =\"30321664\"]\n  6 -> 28 [size =\"30321664\"]\n  7 [size=\"65738752\", alpha=\"0.03\", expect_size=\"32869376\"] \n  7 -> 20 [size =\"32869376\"]\n  7 -> 21 [size =\"32869376\"]\n  7 -> 24 [size =\"32869376\"]\n  7 -> 25 [size =\"32869376\"]\n  7 -> 26 [size =\"32869376\"]\n  7 -> 27 [size =\"32869376\"]\n  7 -> 28 [size =\"32869376\"]\n  7 -> 29 [size =\"32869376\"]\n  8 [size=\"75128832\", alpha=\"0.15\", expect_size=\"37564416\"] \n  8 -> 18 [size =\"37564416\"]\n  8 -> 19 [size =\"37564416\"]\n  8 -> 20 [size =\"37564416\"]\n  8 -> 24 [size =\"37564416\"]\n  8 -> 25 [size =\"37564416\"]\n  8 -> 27 [size =\"37564416\"]\n  8 -> 28 [size =\"37564416\"]\n  9 [size=\"71497728\", alpha=\"0.15\", expect_size=\"35748864\"] \n  9 -> 18 [size =\"35748864\"]\n  9 -> 20 [size =\"35748864\"]\n  9 -> 21 [size =\"35748864\"]\n  9 -> 24 [size =\"35748864\"]\n  9 -> 25 [size =\"35748864\"]\n  9 -> 26 [size =\"35748864\"]\n  9 -> 28 [size =\"35748864\"]\n  9 -> 29 [size =\"35748864\"]\n  10 [size=\"80756736\", alpha=\"0.09\", expect_size=\"40378368\"] \n  10 -> 18 [size =\"40378368\"]\n  10 -> 20 [size =\"40378368\"]\n  10 -> 21 [size =\"40378368\"]\n  10 -> 22 [size =\"40378368\"]\n  10 -> 24 [size =\"40378368\"]\n  10 -> 28 [size =\"40378368\"]\n  10 -> 28 [size =\"40378368\"]\n  11 [size=\"14364672\", alpha=\"0.18\", expect_size=\"7182336\"] \n  11 -> 20 [size =\"7182336\"]\n  11 -> 20 [size =\"7182336\"]\n  11 -> 24 [size =\"7182336\"]\n  11 -> 27 [size =\"7182336\"]\n  11 -> 28 [size =\"7182336\"]\n  11 -> 28 [size =\"7182336\"]\n  11 -> 29 [size =\"7182336\"]\n  11 -> 30 [size =\"7182336\"]\n  12 [size=\"71815168\", alpha=\"0.12\", expect_size=\"35907584\"] \n  12 -> 18 [size =\"35907584\"]\n  12 -> 19 [size =\"35907584\"]\n  12 -> 20 [size =\"35907584\"]\n  12 -> 23 [size =\"35907584\"]\n  12 -> 24 [size =\"35907584\"]\n  12 -> 25 [size =\"35907584\"]\n  12 -> 27 [size =\"35907584\"]\n  12 -> 28 [size =\"35907584\"]\n  13 [size=\"94857216\", alpha=\"0.06\", expect_size=\"47428608\"] \n  13 -> 19 [size =\"47428608\"]\n  13 -> 20 [size =\"47428608\"]\n  13 -> 20 [size =\"47428608\"]\n  13 -> 24 [size =\"47428608\"]\n  13 -> 26 [size =\"47428608\"]\n  13 -> 27 [size =\"47428608\"]\n  13 -> 28 [size =\"47428608\"]\n  13 -> 30 [size =\"47428608\"]\n  14 [size=\"22996992\", alpha=\"0.18\", expect_size=\"11498496\"] \n  14 -> 17 [size =\"11498496\"]\n  14 -> 18 [size =\"11498496\"]\n  14 -> 20 [size =\"11498496\"]\n  14 -> 25 [size =\"11498496\"]\n  14 -> 26 [size =\"11498496\"]\n  14 -> 27 [size =\"11498496\"]\n  14 -> 28 [size =\"11498496\"]\n  14 -> 29 [size =\"11498496\"]\n  15 [size=\"74594304\", alpha=\"0.04\", expect_size=\"37297152\"] \n  15 -> 18 [size =\"37297152\"]\n  15 -> 21 [size =\"37297152\"]\n  15 -> 27 [size =\"37297152\"]\n  15 -> 28 [size =\"37297152\"]\n  15 -> 30 [size =\"37297152\"]\n  16 [size=\"11177984\", alpha=\"0.19\", expect_size=\"5588992\"] \n  16 -> 18 [size =\"5588992\"]\n  16 -> 20 [size =\"5588992\"]\n  16 -> 21 [size =\"5588992\"]\n  16 -> 24 [size =\"5588992\"]\n  16 -> 25 [size =\"5588992\"]\n  16 -> 27 [size =\"5588992\"]\n  17 [size=\"33226752\", alpha=\"0.06\", expect_size=\"16613376\"] \n  17 -> 31 [size =\"16613376\"]\n  17 -> 32 [size =\"16613376\"]\n  17 -> 34 [size =\"16613376\"]\n  17 -> 34 [size =\"16613376\"]\n  17 -> 36 [size =\"16613376\"]\n  17 -> 36 [size =\"16613376\"]\n  17 -> 37 [size =\"16613376\"]\n  17 -> 38 [size =\"16613376\"]\n  17 -> 40 [size =\"16613376\"]\n  18 [size=\"46835712\", alpha=\"0.02\", expect_size=\"23417856\"] \n  18 -> 31 [size =\"23417856\"]\n  18 -> 33 [size =\"23417856\"]\n  18 -> 34 [size =\"23417856\"]\n  18 -> 35 [size =\"23417856\"]\n  18 -> 38 [size =\"23417856\"]\n  19 [size=\"25200640\", alpha=\"0.05\", expect_size=\"12600320\"] \n  19 -> 31 [size =\"12600320\"]\n  19 -> 32 [size =\"12600320\"]\n  19 -> 34 [size =\"12600320\"]\n  19 -> 36 [size =\"12600320\"]\n  19 -> 38 [size =\"12600320\"]\n  20 [size=\"94664704\", alpha=\"0.09\", expect_size=\"47332352\"] \n  20 -> 31 [size =\"47332352\"]\n  20 -> 32 [size =\"47332352\"]\n  20 -> 33 [size =\"47332352\"]\n  20 -> 34 [size =\"47332352\"]\n  20 -> 36 [size =\"47332352\"]\n  20 -> 38 [size =\"47332352\"]\n  20 -> 39 [size =\"47332352\"]\n  21 [size=\"40857600\", alpha=\"0.15\", expect_size=\"20428800\"] \n  21 -> 31 [size =\"20428800\"]\n  21 -> 32 [size =\"20428800\"]\n  21 -> 33 [size =\"20428800\"]\n  21 -> 34 [size =\"20428800\"]\n  21 -> 35 [size =\"20428800\"]\n  21 -> 36 [size =\"20428800\"]\n  21 -> 37 [size =\"20428800\"]\n  21 -> 38 [size =\"20428800\"]\n  21 -> 39 [size =\"20428800\"]\n  22 [size=\"29411328\", alpha=\"0.17\", expect_size=\"14705664\"] \n  22 -> 33 [size =\"14705664\"]\n  22 -> 34 [size =\"14705664\"]\n  22 -> 38 [size =\"14705664\"]\n  22 -> 39 [size =\"14705664\"]\n  23 [size=\"86321152\", alpha=\"0.03\", expect_size=\"43160576\"] \n  23 -> 35 [size =\"43160576\"]\n  23 -> 38 [size =\"43160576\"]\n  23 -> 39 [size =\"43160576\"]\n  24 [size=\"22124544\", alpha=\"0.07\", expect_size=\"11062272\"] \n  24 -> 32 [size =\"11062272\"]\n  24 -> 36 [size =\"11062272\"]\n  24 -> 37 [size =\"11062272\"]\n  25 [size=\"12238848\", alpha=\"0.06\", expect_size=\"6119424\"] \n  25 -> 31 [size =\"6119424\"]\n  25 -> 32 [size =\"6119424\"]\n  25 -> 33 [size =\"6119424\"]\n  25 -> 37 [size =\"6119424\"]\n  25 -> 38 [size =\"6119424\"]\n  26 [size=\"30386176\", alpha=\"0.14\", expect_size=\"15193088\"] \n  26 -> 32 [size =\"15193088\"]\n  26 -> 33 [size =\"15193088\"]\n  26 -> 33 [size =\"15193088\"]\n  27 [size=\"27949056\", alpha=\"0.15\", expect_size=\"13974528\"] \n  27 -> 32 [size =\"13974528\"]\n  27 -> 33 [size =\"13974528\"]\n  27 -> 34 [size =\"13974528\"]\n  27 -> 37 [size =\"13974528\"]\n  27 -> 38 [size =\"13974528\"]\n  27 -> 39 [size =\"13974528\"]\n  28 [size=\"54614016\", alpha=\"0.09\", expect_size=\"27307008\"] \n  28 -> 32 [size =\"27307008\"]\n  28 -> 33 [size =\"27307008\"]\n  28 -> 34 [size =\"27307008\"]\n  28 -> 35 [size =\"27307008\"]\n  28 -> 36 [size =\"27307008\"]\n  28 -> 39 [size =\"27307008\"]\n  29 [size=\"63541248\", alpha=\"0.16\", expect_size=\"31770624\"] \n  29 -> 31 [size =\"31770624\"]\n  29 -> 32 [size =\"31770624\"]\n  29 -> 33 [size =\"31770624\"]\n  29 -> 34 [size =\"31770624\"]\n  29 -> 35 [size =\"31770624\"]\n  29 -> 36 [size =\"31770624\"]\n  29 -> 38 [size =\"31770624\"]\n  29 -> 39 [size =\"31770624\"]\n  30 [size=\"89323520\", alpha=\"0.18\", expect_size=\"44661760\"] \n  30 -> 31 [size =\"44661760\"]\n  30 -> 32 [size =\"44661760\"]\n  30 -> 33 [size =\"44661760\"]\n  30 -> 34 [size =\"44661760\"]\n  30 -> 35 [size =\"44661760\"]\n  30 -> 36 [size =\"44661760\"]\n  30 -> 40 [size =\"44661760\"]\n  31 [size=\"36907008\", alpha=\"0.01\", expect_size=\"18453504\"] \n  32 [size=\"14985216\", alpha=\"0.17\", expect_size=\"7492608\"] \n  33 [size=\"96409600\", alpha=\"0.10\", expect_size=\"48204800\"] \n  34 [size=\"15132672\", alpha=\"0.07\", expect_size=\"7566336\"] \n  35 [size=\"50309120\", alpha=\"0.17\", expect_size=\"25154560\"] \n  36 [size=\"76591104\", alpha=\"0.07\", expect_size=\"38295552\"] \n  37 [size=\"49762304\", alpha=\"0.01\", expect_size=\"24881152\"] \n  38 [size=\"25077760\", alpha=\"0.04\", expect_size=\"12538880\"] \n  39 [size=\"67182592\", alpha=\"0.10\", expect_size=\"33591296\"] \n  40 [size=\"48343040\", alpha=\"0.13\", expect_size=\"24171520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34370560\", alpha=\"0.11\", expect_size=\"13748224\"] \n  1 -> 2 [size =\"13748224\"]\n  2 [size=\"55953920\", alpha=\"0.09\", expect_size=\"22381568\"] \n  2 -> 3 [size =\"22381568\"]\n  3 [size=\"108659200\", alpha=\"0.01\", expect_size=\"43463680\"] \n  3 -> 4 [size =\"43463680\"]\n  4 [size=\"51089920\", alpha=\"0.01\", expect_size=\"20435968\"] \n  4 -> 5 [size =\"20435968\"]\n  5 [size=\"58746880\", alpha=\"0.07\", expect_size=\"23498752\"] \n  5 -> 6 [size =\"23498752\"]\n  6 [size=\"96678400\", alpha=\"0.18\", expect_size=\"38671360\"] \n  6 -> 7 [size =\"38671360\"]\n  7 [size=\"116679680\", alpha=\"0.06\", expect_size=\"46671872\"] \n  7 -> 8 [size =\"46671872\"]\n  8 [size=\"97433600\", alpha=\"0.16\", expect_size=\"38973440\"] \n  8 -> 9 [size =\"38973440\"]\n  9 [size=\"47879680\", alpha=\"0.11\", expect_size=\"19151872\"] \n  9 -> 10 [size =\"19151872\"]\n  10 [size=\"125967360\", alpha=\"0.07\", expect_size=\"50386944\"] \n  10 -> 11 [size =\"50386944\"]\n  11 [size=\"55534080\", alpha=\"0.10\", expect_size=\"22213632\"] \n  11 -> 12 [size =\"22213632\"]\n  12 [size=\"120762880\", alpha=\"0.04\", expect_size=\"48305152\"] \n  12 -> 13 [size =\"48305152\"]\n  13 [size=\"55319040\", alpha=\"0.19\", expect_size=\"22127616\"] \n  13 -> 14 [size =\"22127616\"]\n  14 [size=\"58360320\", alpha=\"0.18\", expect_size=\"23344128\"] \n  14 -> 15 [size =\"23344128\"]\n  15 [size=\"65036800\", alpha=\"0.16\", expect_size=\"26014720\"] \n  15 -> 16 [size =\"26014720\"]\n  16 [size=\"109199360\", alpha=\"0.03\", expect_size=\"43679744\"] \n  16 -> 17 [size =\"43679744\"]\n  17 [size=\"98910720\", alpha=\"0.06\", expect_size=\"39564288\"] \n  17 -> 18 [size =\"39564288\"]\n  18 [size=\"14924800\", alpha=\"0.16\", expect_size=\"5969920\"] \n  18 -> 19 [size =\"5969920\"]\n  19 [size=\"108167680\", alpha=\"0.19\", expect_size=\"43267072\"] \n  19 -> 20 [size =\"43267072\"]\n  20 [size=\"55308800\", alpha=\"0.02\", expect_size=\"22123520\"] \n  20 -> 21 [size =\"22123520\"]\n  21 [size=\"96084480\", alpha=\"0.08\", expect_size=\"38433792\"] \n  21 -> 22 [size =\"38433792\"]\n  22 [size=\"39928320\", alpha=\"0.02\", expect_size=\"15971328\"] \n  22 -> 23 [size =\"15971328\"]\n  23 [size=\"64355840\", alpha=\"0.12\", expect_size=\"25742336\"] \n  23 -> 24 [size =\"25742336\"]\n  24 [size=\"58897920\", alpha=\"0.09\", expect_size=\"23559168\"] \n  24 -> 25 [size =\"23559168\"]\n  25 [size=\"46320640\", alpha=\"0.13\", expect_size=\"18528256\"] \n  25 -> 26 [size =\"18528256\"]\n  26 [size=\"21621760\", alpha=\"0.11\", expect_size=\"8648704\"] \n  26 -> 27 [size =\"8648704\"]\n  27 [size=\"36577280\", alpha=\"0.07\", expect_size=\"14630912\"] \n  27 -> 28 [size =\"14630912\"]\n  28 [size=\"72814080\", alpha=\"0.17\", expect_size=\"29125632\"] \n  28 -> 29 [size =\"29125632\"]\n  29 [size=\"46400000\", alpha=\"0.13\", expect_size=\"18560000\"] \n  29 -> 30 [size =\"18560000\"]\n  30 [size=\"40250880\", alpha=\"0.09\", expect_size=\"16100352\"] \n  30 -> 31 [size =\"16100352\"]\n  31 [size=\"51317760\", alpha=\"0.11\", expect_size=\"20527104\"] \n  31 -> 32 [size =\"20527104\"]\n  32 [size=\"100866560\", alpha=\"0.12\", expect_size=\"40346624\"] \n  32 -> 33 [size =\"40346624\"]\n  33 [size=\"113779200\", alpha=\"0.19\", expect_size=\"45511680\"] \n  33 -> 34 [size =\"45511680\"]\n  34 [size=\"67645440\", alpha=\"0.15\", expect_size=\"27058176\"] \n  34 -> 35 [size =\"27058176\"]\n  35 [size=\"118415360\", alpha=\"0.19\", expect_size=\"47366144\"] \n  35 -> 36 [size =\"47366144\"]\n  36 [size=\"75799040\", alpha=\"0.20\", expect_size=\"30319616\"] \n  36 -> 37 [size =\"30319616\"]\n  37 [size=\"23370240\", alpha=\"0.15\", expect_size=\"9348096\"] \n  37 -> 38 [size =\"9348096\"]\n  38 [size=\"64704000\", alpha=\"0.10\", expect_size=\"25881600\"] \n  38 -> 39 [size =\"25881600\"]\n  39 [size=\"48194560\", alpha=\"0.02\", expect_size=\"19277824\"] \n  39 -> 40 [size =\"19277824\"]\n  40 [size=\"126584320\", alpha=\"0.01\", expect_size=\"50633728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40867840\", alpha=\"0.15\", expect_size=\"20433920\"] \n  1 -> 30 [size =\"20433920\"]\n  1 -> 33 [size =\"20433920\"]\n  1 -> 35 [size =\"20433920\"]\n  1 -> 37 [size =\"20433920\"]\n  2 [size=\"35833856\", alpha=\"0.14\", expect_size=\"17916928\"] \n  2 -> 28 [size =\"17916928\"]\n  2 -> 30 [size =\"17916928\"]\n  2 -> 33 [size =\"17916928\"]\n  3 [size=\"42303488\", alpha=\"0.02\", expect_size=\"21151744\"] \n  3 -> 39 [size =\"21151744\"]\n  3 -> 40 [size =\"21151744\"]\n  4 [size=\"21106688\", alpha=\"0.08\", expect_size=\"10553344\"] \n  4 -> 33 [size =\"10553344\"]\n  4 -> 39 [size =\"10553344\"]\n  4 -> 40 [size =\"10553344\"]\n  5 [size=\"91838464\", alpha=\"0.02\", expect_size=\"45919232\"] \n  5 -> 29 [size =\"45919232\"]\n  5 -> 32 [size =\"45919232\"]\n  5 -> 33 [size =\"45919232\"]\n  5 -> 39 [size =\"45919232\"]\n  5 -> 40 [size =\"45919232\"]\n  6 [size=\"74219520\", alpha=\"0.13\", expect_size=\"37109760\"] \n  6 -> 29 [size =\"37109760\"]\n  6 -> 30 [size =\"37109760\"]\n  7 [size=\"29263872\", alpha=\"0.07\", expect_size=\"14631936\"] \n  7 -> 33 [size =\"14631936\"]\n  7 -> 36 [size =\"14631936\"]\n  7 -> 39 [size =\"14631936\"]\n  8 [size=\"91650048\", alpha=\"0.14\", expect_size=\"45825024\"] \n  8 -> 39 [size =\"45825024\"]\n  9 [size=\"30650368\", alpha=\"0.14\", expect_size=\"15325184\"] \n  9 -> 38 [size =\"15325184\"]\n  10 [size=\"56795136\", alpha=\"0.07\", expect_size=\"28397568\"] \n  10 -> 38 [size =\"28397568\"]\n  11 [size=\"85530624\", alpha=\"0.01\", expect_size=\"42765312\"] \n  11 -> 30 [size =\"42765312\"]\n  11 -> 40 [size =\"42765312\"]\n  12 [size=\"61886464\", alpha=\"0.00\", expect_size=\"30943232\"] \n  13 [size=\"35764224\", alpha=\"0.12\", expect_size=\"17882112\"] \n  13 -> 29 [size =\"17882112\"]\n  13 -> 32 [size =\"17882112\"]\n  13 -> 38 [size =\"17882112\"]\n  14 [size=\"45557760\", alpha=\"0.17\", expect_size=\"22778880\"] \n  14 -> 29 [size =\"22778880\"]\n  14 -> 38 [size =\"22778880\"]\n  14 -> 40 [size =\"22778880\"]\n  15 [size=\"85555200\", alpha=\"0.19\", expect_size=\"42777600\"] \n  15 -> 29 [size =\"42777600\"]\n  15 -> 38 [size =\"42777600\"]\n  16 [size=\"96268288\", alpha=\"0.02\", expect_size=\"48134144\"] \n  16 -> 28 [size =\"48134144\"]\n  16 -> 29 [size =\"48134144\"]\n  17 [size=\"63039488\", alpha=\"0.11\", expect_size=\"31519744\"] \n  17 -> 28 [size =\"31519744\"]\n  17 -> 31 [size =\"31519744\"]\n  17 -> 32 [size =\"31519744\"]\n  17 -> 33 [size =\"31519744\"]\n  17 -> 35 [size =\"31519744\"]\n  17 -> 39 [size =\"31519744\"]\n  18 [size=\"98213888\", alpha=\"0.14\", expect_size=\"49106944\"] \n  18 -> 30 [size =\"49106944\"]\n  18 -> 38 [size =\"49106944\"]\n  19 [size=\"67872768\", alpha=\"0.09\", expect_size=\"33936384\"] \n  19 -> 33 [size =\"33936384\"]\n  20 [size=\"38838272\", alpha=\"0.08\", expect_size=\"19419136\"] \n  20 -> 33 [size =\"19419136\"]\n  20 -> 34 [size =\"19419136\"]\n  20 -> 38 [size =\"19419136\"]\n  21 [size=\"72689664\", alpha=\"0.14\", expect_size=\"36344832\"] \n  21 -> 28 [size =\"36344832\"]\n  21 -> 29 [size =\"36344832\"]\n  21 -> 31 [size =\"36344832\"]\n  21 -> 36 [size =\"36344832\"]\n  21 -> 38 [size =\"36344832\"]\n  21 -> 40 [size =\"36344832\"]\n  22 [size=\"75452416\", alpha=\"0.06\", expect_size=\"37726208\"] \n  22 -> 28 [size =\"37726208\"]\n  22 -> 31 [size =\"37726208\"]\n  22 -> 33 [size =\"37726208\"]\n  22 -> 39 [size =\"37726208\"]\n  23 [size=\"75642880\", alpha=\"0.04\", expect_size=\"37821440\"] \n  23 -> 33 [size =\"37821440\"]\n  23 -> 34 [size =\"37821440\"]\n  23 -> 39 [size =\"37821440\"]\n  24 [size=\"39192576\", alpha=\"0.04\", expect_size=\"19596288\"] \n  24 -> 29 [size =\"19596288\"]\n  24 -> 38 [size =\"19596288\"]\n  25 [size=\"23177216\", alpha=\"0.02\", expect_size=\"11588608\"] \n  25 -> 29 [size =\"11588608\"]\n  25 -> 30 [size =\"11588608\"]\n  26 [size=\"16216064\", alpha=\"0.13\", expect_size=\"8108032\"] \n  26 -> 29 [size =\"8108032\"]\n  26 -> 31 [size =\"8108032\"]\n  26 -> 32 [size =\"8108032\"]\n  26 -> 33 [size =\"8108032\"]\n  26 -> 39 [size =\"8108032\"]\n  27 [size=\"26327040\", alpha=\"0.08\", expect_size=\"13163520\"] \n  27 -> 32 [size =\"13163520\"]\n  27 -> 39 [size =\"13163520\"]\n  28 [size=\"78405632\", alpha=\"0.00\", expect_size=\"39202816\"] \n  29 [size=\"47802368\", alpha=\"0.17\", expect_size=\"23901184\"] \n  30 [size=\"89962496\", alpha=\"0.03\", expect_size=\"44981248\"] \n  31 [size=\"35497984\", alpha=\"0.05\", expect_size=\"17748992\"] \n  32 [size=\"103536640\", alpha=\"0.18\", expect_size=\"51768320\"] \n  33 [size=\"36311040\", alpha=\"0.17\", expect_size=\"18155520\"] \n  34 [size=\"54384640\", alpha=\"0.03\", expect_size=\"27192320\"] \n  35 [size=\"74008576\", alpha=\"0.05\", expect_size=\"37004288\"] \n  36 [size=\"82163712\", alpha=\"0.05\", expect_size=\"41081856\"] \n  37 [size=\"48216064\", alpha=\"0.16\", expect_size=\"24108032\"] \n  38 [size=\"85313536\", alpha=\"0.06\", expect_size=\"42656768\"] \n  39 [size=\"85878784\", alpha=\"0.08\", expect_size=\"42939392\"] \n  40 [size=\"70078464\", alpha=\"0.15\", expect_size=\"35039232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70174720\", alpha=\"0.12\", expect_size=\"28069888\"] \n  1 -> 4 [size =\"28069888\"]\n  1 -> 5 [size =\"28069888\"]\n  1 -> 6 [size =\"28069888\"]\n  2 [size=\"128701440\", alpha=\"0.01\", expect_size=\"51480576\"] \n  2 -> 4 [size =\"51480576\"]\n  2 -> 5 [size =\"51480576\"]\n  2 -> 6 [size =\"51480576\"]\n  3 [size=\"47119360\", alpha=\"0.12\", expect_size=\"18847744\"] \n  3 -> 4 [size =\"18847744\"]\n  3 -> 5 [size =\"18847744\"]\n  3 -> 6 [size =\"18847744\"]\n  4 [size=\"89674240\", alpha=\"0.04\", expect_size=\"35869696\"] \n  4 -> 7 [size =\"35869696\"]\n  5 [size=\"59328000\", alpha=\"0.05\", expect_size=\"23731200\"] \n  5 -> 7 [size =\"23731200\"]\n  5 -> 8 [size =\"23731200\"]\n  5 -> 9 [size =\"23731200\"]\n  6 [size=\"45898240\", alpha=\"0.03\", expect_size=\"18359296\"] \n  6 -> 7 [size =\"18359296\"]\n  6 -> 9 [size =\"18359296\"]\n  7 [size=\"83000320\", alpha=\"0.18\", expect_size=\"33200128\"] \n  7 -> 10 [size =\"33200128\"]\n  7 -> 11 [size =\"33200128\"]\n  8 [size=\"106531840\", alpha=\"0.07\", expect_size=\"42612736\"] \n  8 -> 11 [size =\"42612736\"]\n  9 [size=\"81395200\", alpha=\"0.16\", expect_size=\"32558080\"] \n  9 -> 10 [size =\"32558080\"]\n  10 [size=\"25528320\", alpha=\"0.13\", expect_size=\"10211328\"] \n  10 -> 12 [size =\"10211328\"]\n  10 -> 13 [size =\"10211328\"]\n  11 [size=\"28385280\", alpha=\"0.07\", expect_size=\"11354112\"] \n  11 -> 12 [size =\"11354112\"]\n  11 -> 13 [size =\"11354112\"]\n  12 [size=\"96629760\", alpha=\"0.14\", expect_size=\"38651904\"] \n  12 -> 14 [size =\"38651904\"]\n  12 -> 15 [size =\"38651904\"]\n  12 -> 16 [size =\"38651904\"]\n  13 [size=\"104540160\", alpha=\"0.07\", expect_size=\"41816064\"] \n  13 -> 14 [size =\"41816064\"]\n  13 -> 15 [size =\"41816064\"]\n  14 [size=\"57367040\", alpha=\"0.20\", expect_size=\"22946816\"] \n  14 -> 17 [size =\"22946816\"]\n  15 [size=\"78935040\", alpha=\"0.02\", expect_size=\"31574016\"] \n  15 -> 18 [size =\"31574016\"]\n  16 [size=\"106480640\", alpha=\"0.18\", expect_size=\"42592256\"] \n  17 [size=\"126064640\", alpha=\"0.16\", expect_size=\"50425856\"] \n  17 -> 19 [size =\"50425856\"]\n  17 -> 20 [size =\"50425856\"]\n  18 [size=\"112207360\", alpha=\"0.00\", expect_size=\"44882944\"] \n  18 -> 19 [size =\"44882944\"]\n  18 -> 20 [size =\"44882944\"]\n  19 [size=\"34122240\", alpha=\"0.17\", expect_size=\"13648896\"] \n  19 -> 21 [size =\"13648896\"]\n  20 [size=\"126497280\", alpha=\"0.04\", expect_size=\"50598912\"] \n  20 -> 21 [size =\"50598912\"]\n  20 -> 22 [size =\"50598912\"]\n  21 [size=\"83852800\", alpha=\"0.02\", expect_size=\"33541120\"] \n  21 -> 23 [size =\"33541120\"]\n  21 -> 25 [size =\"33541120\"]\n  22 [size=\"125639680\", alpha=\"0.18\", expect_size=\"50255872\"] \n  22 -> 24 [size =\"50255872\"]\n  23 [size=\"91635200\", alpha=\"0.01\", expect_size=\"36654080\"] \n  23 -> 26 [size =\"36654080\"]\n  23 -> 27 [size =\"36654080\"]\n  23 -> 28 [size =\"36654080\"]\n  24 [size=\"130570240\", alpha=\"0.16\", expect_size=\"52228096\"] \n  24 -> 26 [size =\"52228096\"]\n  24 -> 27 [size =\"52228096\"]\n  24 -> 28 [size =\"52228096\"]\n  25 [size=\"128422400\", alpha=\"0.20\", expect_size=\"51368960\"] \n  25 -> 26 [size =\"51368960\"]\n  25 -> 27 [size =\"51368960\"]\n  25 -> 28 [size =\"51368960\"]\n  26 [size=\"24803840\", alpha=\"0.09\", expect_size=\"9921536\"] \n  26 -> 29 [size =\"9921536\"]\n  26 -> 30 [size =\"9921536\"]\n  27 [size=\"130426880\", alpha=\"0.09\", expect_size=\"52170752\"] \n  27 -> 29 [size =\"52170752\"]\n  27 -> 30 [size =\"52170752\"]\n  28 [size=\"105710080\", alpha=\"0.06\", expect_size=\"42284032\"] \n  28 -> 29 [size =\"42284032\"]\n  29 [size=\"106086400\", alpha=\"0.14\", expect_size=\"42434560\"] \n  29 -> 31 [size =\"42434560\"]\n  29 -> 32 [size =\"42434560\"]\n  29 -> 33 [size =\"42434560\"]\n  30 [size=\"87649280\", alpha=\"0.04\", expect_size=\"35059712\"] \n  30 -> 32 [size =\"35059712\"]\n  30 -> 33 [size =\"35059712\"]\n  31 [size=\"113318400\", alpha=\"0.17\", expect_size=\"45327360\"] \n  31 -> 34 [size =\"45327360\"]\n  31 -> 35 [size =\"45327360\"]\n  31 -> 36 [size =\"45327360\"]\n  32 [size=\"122199040\", alpha=\"0.04\", expect_size=\"48879616\"] \n  32 -> 34 [size =\"48879616\"]\n  32 -> 35 [size =\"48879616\"]\n  32 -> 36 [size =\"48879616\"]\n  33 [size=\"111918080\", alpha=\"0.07\", expect_size=\"44767232\"] \n  33 -> 34 [size =\"44767232\"]\n  33 -> 35 [size =\"44767232\"]\n  33 -> 36 [size =\"44767232\"]\n  34 [size=\"116490240\", alpha=\"0.17\", expect_size=\"46596096\"] \n  34 -> 37 [size =\"46596096\"]\n  34 -> 38 [size =\"46596096\"]\n  34 -> 39 [size =\"46596096\"]\n  35 [size=\"94520320\", alpha=\"0.18\", expect_size=\"37808128\"] \n  35 -> 37 [size =\"37808128\"]\n  35 -> 39 [size =\"37808128\"]\n  36 [size=\"92226560\", alpha=\"0.15\", expect_size=\"36890624\"] \n  36 -> 37 [size =\"36890624\"]\n  36 -> 39 [size =\"36890624\"]\n  37 [size=\"24437760\", alpha=\"0.11\", expect_size=\"9775104\"] \n  37 -> 40 [size =\"9775104\"]\n  38 [size=\"79011840\", alpha=\"0.04\", expect_size=\"31604736\"] \n  39 [size=\"113448960\", alpha=\"0.01\", expect_size=\"45379584\"] \n  39 -> 40 [size =\"45379584\"]\n  40 [size=\"78072320\", alpha=\"0.16\", expect_size=\"31228928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71785813\", alpha=\"0.09\", expect_size=\"21535744\"] \n  1 -> 4 [size =\"21535744\"]\n  1 -> 6 [size =\"21535744\"]\n  1 -> 7 [size =\"21535744\"]\n  2 [size=\"143581867\", alpha=\"0.03\", expect_size=\"43074560\"] \n  2 -> 4 [size =\"43074560\"]\n  2 -> 5 [size =\"43074560\"]\n  2 -> 7 [size =\"43074560\"]\n  3 [size=\"126306987\", alpha=\"0.11\", expect_size=\"37892096\"] \n  3 -> 4 [size =\"37892096\"]\n  3 -> 5 [size =\"37892096\"]\n  4 [size=\"34048000\", alpha=\"0.11\", expect_size=\"10214400\"] \n  5 [size=\"107782827\", alpha=\"0.09\", expect_size=\"32334848\"] \n  5 -> 8 [size =\"32334848\"]\n  6 [size=\"45223253\", alpha=\"0.10\", expect_size=\"13566976\"] \n  7 [size=\"37963093\", alpha=\"0.13\", expect_size=\"11388928\"] \n  8 [size=\"104069120\", alpha=\"0.14\", expect_size=\"31220736\"] \n  8 -> 9 [size =\"31220736\"]\n  8 -> 10 [size =\"31220736\"]\n  8 -> 11 [size =\"31220736\"]\n  8 -> 12 [size =\"31220736\"]\n  9 [size=\"96921600\", alpha=\"0.19\", expect_size=\"29076480\"] \n  10 [size=\"69672960\", alpha=\"0.06\", expect_size=\"20901888\"] \n  10 -> 14 [size =\"20901888\"]\n  11 [size=\"60313600\", alpha=\"0.11\", expect_size=\"18094080\"] \n  11 -> 13 [size =\"18094080\"]\n  11 -> 14 [size =\"18094080\"]\n  12 [size=\"132843520\", alpha=\"0.11\", expect_size=\"39853056\"] \n  12 -> 13 [size =\"39853056\"]\n  12 -> 14 [size =\"39853056\"]\n  13 [size=\"159672320\", alpha=\"0.18\", expect_size=\"47901696\"] \n  13 -> 15 [size =\"47901696\"]\n  14 [size=\"89364480\", alpha=\"0.09\", expect_size=\"26809344\"] \n  15 [size=\"21067093\", alpha=\"0.04\", expect_size=\"6320128\"] \n  15 -> 16 [size =\"6320128\"]\n  15 -> 17 [size =\"6320128\"]\n  16 [size=\"92685653\", alpha=\"0.19\", expect_size=\"27805696\"] \n  16 -> 18 [size =\"27805696\"]\n  17 [size=\"169837227\", alpha=\"0.03\", expect_size=\"50951168\"] \n  17 -> 18 [size =\"50951168\"]\n  17 -> 19 [size =\"50951168\"]\n  18 [size=\"114077013\", alpha=\"0.15\", expect_size=\"34223104\"] \n  18 -> 20 [size =\"34223104\"]\n  19 [size=\"68188160\", alpha=\"0.00\", expect_size=\"20456448\"] \n  19 -> 20 [size =\"20456448\"]\n  20 [size=\"63890773\", alpha=\"0.18\", expect_size=\"19167232\"] \n  20 -> 21 [size =\"19167232\"]\n  20 -> 22 [size =\"19167232\"]\n  20 -> 23 [size =\"19167232\"]\n  20 -> 24 [size =\"19167232\"]\n  21 [size=\"112046080\", alpha=\"0.03\", expect_size=\"33613824\"] \n  21 -> 26 [size =\"33613824\"]\n  22 [size=\"40403627\", alpha=\"0.03\", expect_size=\"12121088\"] \n  22 -> 25 [size =\"12121088\"]\n  23 [size=\"125323947\", alpha=\"0.18\", expect_size=\"37597184\"] \n  23 -> 25 [size =\"37597184\"]\n  23 -> 27 [size =\"37597184\"]\n  24 [size=\"108445013\", alpha=\"0.15\", expect_size=\"32533504\"] \n  24 -> 25 [size =\"32533504\"]\n  25 [size=\"22743040\", alpha=\"0.03\", expect_size=\"6822912\"] \n  25 -> 28 [size =\"6822912\"]\n  26 [size=\"56186880\", alpha=\"0.15\", expect_size=\"16856064\"] \n  26 -> 29 [size =\"16856064\"]\n  27 [size=\"45018453\", alpha=\"0.09\", expect_size=\"13505536\"] \n  27 -> 28 [size =\"13505536\"]\n  27 -> 29 [size =\"13505536\"]\n  28 [size=\"66007040\", alpha=\"0.14\", expect_size=\"19802112\"] \n  28 -> 31 [size =\"19802112\"]\n  28 -> 32 [size =\"19802112\"]\n  29 [size=\"25774080\", alpha=\"0.10\", expect_size=\"7732224\"] \n  29 -> 30 [size =\"7732224\"]\n  30 [size=\"25801387\", alpha=\"0.12\", expect_size=\"7740416\"] \n  30 -> 33 [size =\"7740416\"]\n  30 -> 34 [size =\"7740416\"]\n  31 [size=\"166017707\", alpha=\"0.19\", expect_size=\"49805312\"] \n  31 -> 35 [size =\"49805312\"]\n  32 [size=\"28873387\", alpha=\"0.01\", expect_size=\"8662016\"] \n  32 -> 33 [size =\"8662016\"]\n  33 [size=\"55053653\", alpha=\"0.02\", expect_size=\"16516096\"] \n  33 -> 36 [size =\"16516096\"]\n  34 [size=\"38813013\", alpha=\"0.11\", expect_size=\"11643904\"] \n  34 -> 37 [size =\"11643904\"]\n  35 [size=\"154009600\", alpha=\"0.01\", expect_size=\"46202880\"] \n  35 -> 37 [size =\"46202880\"]\n  36 [size=\"19101013\", alpha=\"0.01\", expect_size=\"5730304\"] \n  36 -> 38 [size =\"5730304\"]\n  36 -> 39 [size =\"5730304\"]\n  36 -> 40 [size =\"5730304\"]\n  37 [size=\"133693440\", alpha=\"0.19\", expect_size=\"40108032\"] \n  37 -> 38 [size =\"40108032\"]\n  37 -> 39 [size =\"40108032\"]\n  37 -> 40 [size =\"40108032\"]\n  38 [size=\"46414507\", alpha=\"0.10\", expect_size=\"13924352\"] \n  39 [size=\"158433280\", alpha=\"0.08\", expect_size=\"47529984\"] \n  40 [size=\"77335893\", alpha=\"0.11\", expect_size=\"23200768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72738133\", alpha=\"0.13\", expect_size=\"21821440\"] \n  1 -> 16 [size =\"21821440\"]\n  1 -> 16 [size =\"21821440\"]\n  1 -> 20 [size =\"21821440\"]\n  1 -> 22 [size =\"21821440\"]\n  1 -> 24 [size =\"21821440\"]\n  2 [size=\"94631253\", alpha=\"0.02\", expect_size=\"28389376\"] \n  2 -> 13 [size =\"28389376\"]\n  2 -> 15 [size =\"28389376\"]\n  2 -> 17 [size =\"28389376\"]\n  2 -> 19 [size =\"28389376\"]\n  2 -> 21 [size =\"28389376\"]\n  2 -> 23 [size =\"28389376\"]\n  3 [size=\"120835413\", alpha=\"0.12\", expect_size=\"36250624\"] \n  3 -> 13 [size =\"36250624\"]\n  3 -> 16 [size =\"36250624\"]\n  3 -> 17 [size =\"36250624\"]\n  3 -> 18 [size =\"36250624\"]\n  3 -> 19 [size =\"36250624\"]\n  3 -> 22 [size =\"36250624\"]\n  3 -> 25 [size =\"36250624\"]\n  4 [size=\"53708800\", alpha=\"0.07\", expect_size=\"16112640\"] \n  4 -> 14 [size =\"16112640\"]\n  4 -> 15 [size =\"16112640\"]\n  4 -> 17 [size =\"16112640\"]\n  4 -> 18 [size =\"16112640\"]\n  4 -> 20 [size =\"16112640\"]\n  4 -> 24 [size =\"16112640\"]\n  4 -> 25 [size =\"16112640\"]\n  5 [size=\"127303680\", alpha=\"0.17\", expect_size=\"38191104\"] \n  5 -> 13 [size =\"38191104\"]\n  5 -> 15 [size =\"38191104\"]\n  5 -> 17 [size =\"38191104\"]\n  5 -> 18 [size =\"38191104\"]\n  5 -> 20 [size =\"38191104\"]\n  5 -> 25 [size =\"38191104\"]\n  6 [size=\"35269973\", alpha=\"0.05\", expect_size=\"10580992\"] \n  6 -> 15 [size =\"10580992\"]\n  6 -> 16 [size =\"10580992\"]\n  6 -> 17 [size =\"10580992\"]\n  6 -> 19 [size =\"10580992\"]\n  6 -> 21 [size =\"10580992\"]\n  6 -> 25 [size =\"10580992\"]\n  7 [size=\"30501547\", alpha=\"0.20\", expect_size=\"9150464\"] \n  7 -> 14 [size =\"9150464\"]\n  7 -> 17 [size =\"9150464\"]\n  7 -> 17 [size =\"9150464\"]\n  7 -> 24 [size =\"9150464\"]\n  8 [size=\"103410347\", alpha=\"0.09\", expect_size=\"31023104\"] \n  8 -> 14 [size =\"31023104\"]\n  8 -> 18 [size =\"31023104\"]\n  8 -> 20 [size =\"31023104\"]\n  8 -> 24 [size =\"31023104\"]\n  8 -> 25 [size =\"31023104\"]\n  9 [size=\"133577387\", alpha=\"0.13\", expect_size=\"40073216\"] \n  9 -> 13 [size =\"40073216\"]\n  9 -> 14 [size =\"40073216\"]\n  9 -> 15 [size =\"40073216\"]\n  9 -> 17 [size =\"40073216\"]\n  9 -> 18 [size =\"40073216\"]\n  9 -> 23 [size =\"40073216\"]\n  10 [size=\"25821867\", alpha=\"0.16\", expect_size=\"7746560\"] \n  10 -> 13 [size =\"7746560\"]\n  10 -> 16 [size =\"7746560\"]\n  10 -> 18 [size =\"7746560\"]\n  10 -> 20 [size =\"7746560\"]\n  10 -> 25 [size =\"7746560\"]\n  11 [size=\"118500693\", alpha=\"0.08\", expect_size=\"35550208\"] \n  11 -> 15 [size =\"35550208\"]\n  11 -> 16 [size =\"35550208\"]\n  11 -> 18 [size =\"35550208\"]\n  11 -> 24 [size =\"35550208\"]\n  12 [size=\"61351253\", alpha=\"0.01\", expect_size=\"18405376\"] \n  12 -> 14 [size =\"18405376\"]\n  12 -> 16 [size =\"18405376\"]\n  12 -> 18 [size =\"18405376\"]\n  12 -> 20 [size =\"18405376\"]\n  13 [size=\"79800320\", alpha=\"0.13\", expect_size=\"23940096\"] \n  13 -> 27 [size =\"23940096\"]\n  13 -> 28 [size =\"23940096\"]\n  13 -> 28 [size =\"23940096\"]\n  13 -> 29 [size =\"23940096\"]\n  13 -> 31 [size =\"23940096\"]\n  13 -> 33 [size =\"23940096\"]\n  14 [size=\"20288853\", alpha=\"0.09\", expect_size=\"6086656\"] \n  14 -> 27 [size =\"6086656\"]\n  14 -> 30 [size =\"6086656\"]\n  14 -> 33 [size =\"6086656\"]\n  15 [size=\"75455147\", alpha=\"0.14\", expect_size=\"22636544\"] \n  15 -> 26 [size =\"22636544\"]\n  15 -> 29 [size =\"22636544\"]\n  15 -> 31 [size =\"22636544\"]\n  16 [size=\"49834667\", alpha=\"0.07\", expect_size=\"14950400\"] \n  16 -> 26 [size =\"14950400\"]\n  16 -> 28 [size =\"14950400\"]\n  16 -> 30 [size =\"14950400\"]\n  17 [size=\"91811840\", alpha=\"0.09\", expect_size=\"27543552\"] \n  17 -> 28 [size =\"27543552\"]\n  17 -> 29 [size =\"27543552\"]\n  17 -> 30 [size =\"27543552\"]\n  17 -> 32 [size =\"27543552\"]\n  17 -> 34 [size =\"27543552\"]\n  17 -> 35 [size =\"27543552\"]\n  18 [size=\"91501227\", alpha=\"0.18\", expect_size=\"27450368\"] \n  18 -> 27 [size =\"27450368\"]\n  18 -> 28 [size =\"27450368\"]\n  18 -> 29 [size =\"27450368\"]\n  18 -> 30 [size =\"27450368\"]\n  18 -> 32 [size =\"27450368\"]\n  18 -> 35 [size =\"27450368\"]\n  18 -> 36 [size =\"27450368\"]\n  19 [size=\"160750933\", alpha=\"0.15\", expect_size=\"48225280\"] \n  19 -> 26 [size =\"48225280\"]\n  19 -> 28 [size =\"48225280\"]\n  19 -> 29 [size =\"48225280\"]\n  20 [size=\"108544000\", alpha=\"0.08\", expect_size=\"32563200\"] \n  20 -> 27 [size =\"32563200\"]\n  20 -> 35 [size =\"32563200\"]\n  20 -> 36 [size =\"32563200\"]\n  20 -> 37 [size =\"32563200\"]\n  21 [size=\"77892267\", alpha=\"0.08\", expect_size=\"23367680\"] \n  21 -> 31 [size =\"23367680\"]\n  21 -> 36 [size =\"23367680\"]\n  21 -> 37 [size =\"23367680\"]\n  22 [size=\"140448427\", alpha=\"0.18\", expect_size=\"42134528\"] \n  22 -> 26 [size =\"42134528\"]\n  22 -> 27 [size =\"42134528\"]\n  22 -> 28 [size =\"42134528\"]\n  22 -> 32 [size =\"42134528\"]\n  23 [size=\"150930773\", alpha=\"0.01\", expect_size=\"45279232\"] \n  23 -> 26 [size =\"45279232\"]\n  23 -> 27 [size =\"45279232\"]\n  23 -> 32 [size =\"45279232\"]\n  23 -> 33 [size =\"45279232\"]\n  23 -> 36 [size =\"45279232\"]\n  24 [size=\"95744000\", alpha=\"0.09\", expect_size=\"28723200\"] \n  24 -> 26 [size =\"28723200\"]\n  24 -> 27 [size =\"28723200\"]\n  24 -> 28 [size =\"28723200\"]\n  24 -> 29 [size =\"28723200\"]\n  24 -> 30 [size =\"28723200\"]\n  24 -> 34 [size =\"28723200\"]\n  25 [size=\"167932587\", alpha=\"0.10\", expect_size=\"50379776\"] \n  25 -> 26 [size =\"50379776\"]\n  25 -> 27 [size =\"50379776\"]\n  25 -> 28 [size =\"50379776\"]\n  25 -> 30 [size =\"50379776\"]\n  25 -> 32 [size =\"50379776\"]\n  25 -> 34 [size =\"50379776\"]\n  25 -> 36 [size =\"50379776\"]\n  25 -> 37 [size =\"50379776\"]\n  26 [size=\"123508053\", alpha=\"0.14\", expect_size=\"37052416\"] \n  26 -> 38 [size =\"37052416\"]\n  27 [size=\"20906667\", alpha=\"0.19\", expect_size=\"6272000\"] \n  28 [size=\"88623787\", alpha=\"0.16\", expect_size=\"26587136\"] \n  28 -> 38 [size =\"26587136\"]\n  28 -> 39 [size =\"26587136\"]\n  29 [size=\"72546987\", alpha=\"0.07\", expect_size=\"21764096\"] \n  29 -> 38 [size =\"21764096\"]\n  29 -> 39 [size =\"21764096\"]\n  30 [size=\"35590827\", alpha=\"0.19\", expect_size=\"10677248\"] \n  30 -> 38 [size =\"10677248\"]\n  30 -> 39 [size =\"10677248\"]\n  31 [size=\"100614827\", alpha=\"0.04\", expect_size=\"30184448\"] \n  31 -> 39 [size =\"30184448\"]\n  31 -> 39 [size =\"30184448\"]\n  31 -> 40 [size =\"30184448\"]\n  32 [size=\"165594453\", alpha=\"0.15\", expect_size=\"49678336\"] \n  32 -> 39 [size =\"49678336\"]\n  33 [size=\"150401707\", alpha=\"0.13\", expect_size=\"45120512\"] \n  33 -> 40 [size =\"45120512\"]\n  34 [size=\"158399147\", alpha=\"0.12\", expect_size=\"47519744\"] \n  34 -> 38 [size =\"47519744\"]\n  34 -> 39 [size =\"47519744\"]\n  34 -> 40 [size =\"47519744\"]\n  35 [size=\"68529493\", alpha=\"0.18\", expect_size=\"20558848\"] \n  35 -> 38 [size =\"20558848\"]\n  36 [size=\"147913387\", alpha=\"0.09\", expect_size=\"44374016\"] \n  36 -> 38 [size =\"44374016\"]\n  37 [size=\"99764907\", alpha=\"0.09\", expect_size=\"29929472\"] \n  37 -> 38 [size =\"29929472\"]\n  38 [size=\"94409387\", alpha=\"0.18\", expect_size=\"28322816\"] \n  39 [size=\"60484267\", alpha=\"0.05\", expect_size=\"18145280\"] \n  40 [size=\"114094080\", alpha=\"0.04\", expect_size=\"34228224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105635840\", alpha=\"0.14\", expect_size=\"31690752\"] \n  1 -> 3 [size =\"31690752\"]\n  1 -> 4 [size =\"31690752\"]\n  2 [size=\"164672853\", alpha=\"0.17\", expect_size=\"49401856\"] \n  2 -> 3 [size =\"49401856\"]\n  2 -> 4 [size =\"49401856\"]\n  3 [size=\"94153387\", alpha=\"0.19\", expect_size=\"28246016\"] \n  3 -> 5 [size =\"28246016\"]\n  3 -> 6 [size =\"28246016\"]\n  4 [size=\"96757760\", alpha=\"0.07\", expect_size=\"29027328\"] \n  4 -> 5 [size =\"29027328\"]\n  5 [size=\"83903147\", alpha=\"0.08\", expect_size=\"25170944\"] \n  5 -> 7 [size =\"25170944\"]\n  5 -> 8 [size =\"25170944\"]\n  5 -> 9 [size =\"25170944\"]\n  6 [size=\"88872960\", alpha=\"0.13\", expect_size=\"26661888\"] \n  6 -> 7 [size =\"26661888\"]\n  7 [size=\"46305280\", alpha=\"0.13\", expect_size=\"13891584\"] \n  8 [size=\"24053760\", alpha=\"0.09\", expect_size=\"7216128\"] \n  8 -> 11 [size =\"7216128\"]\n  9 [size=\"69089280\", alpha=\"0.07\", expect_size=\"20726784\"] \n  9 -> 10 [size =\"20726784\"]\n  10 [size=\"57108480\", alpha=\"0.03\", expect_size=\"17132544\"] \n  10 -> 12 [size =\"17132544\"]\n  10 -> 13 [size =\"17132544\"]\n  11 [size=\"20831573\", alpha=\"0.09\", expect_size=\"6249472\"] \n  12 [size=\"134502400\", alpha=\"0.04\", expect_size=\"40350720\"] \n  12 -> 16 [size =\"40350720\"]\n  13 [size=\"114708480\", alpha=\"0.00\", expect_size=\"34412544\"] \n  13 -> 14 [size =\"34412544\"]\n  13 -> 15 [size =\"34412544\"]\n  14 [size=\"107721387\", alpha=\"0.18\", expect_size=\"32316416\"] \n  15 [size=\"159470933\", alpha=\"0.18\", expect_size=\"47841280\"] \n  15 -> 17 [size =\"47841280\"]\n  15 -> 18 [size =\"47841280\"]\n  15 -> 19 [size =\"47841280\"]\n  16 [size=\"64624640\", alpha=\"0.20\", expect_size=\"19387392\"] \n  16 -> 17 [size =\"19387392\"]\n  16 -> 18 [size =\"19387392\"]\n  17 [size=\"165010773\", alpha=\"0.06\", expect_size=\"49503232\"] \n  17 -> 21 [size =\"49503232\"]\n  17 -> 22 [size =\"49503232\"]\n  18 [size=\"113274880\", alpha=\"0.04\", expect_size=\"33982464\"] \n  18 -> 20 [size =\"33982464\"]\n  19 [size=\"26658133\", alpha=\"0.05\", expect_size=\"7997440\"] \n  19 -> 20 [size =\"7997440\"]\n  19 -> 22 [size =\"7997440\"]\n  20 [size=\"82261333\", alpha=\"0.13\", expect_size=\"24678400\"] \n  20 -> 23 [size =\"24678400\"]\n  21 [size=\"104929280\", alpha=\"0.13\", expect_size=\"31478784\"] \n  21 -> 23 [size =\"31478784\"]\n  21 -> 24 [size =\"31478784\"]\n  22 [size=\"172298240\", alpha=\"0.11\", expect_size=\"51689472\"] \n  22 -> 24 [size =\"51689472\"]\n  23 [size=\"46428160\", alpha=\"0.18\", expect_size=\"13928448\"] \n  23 -> 26 [size =\"13928448\"]\n  24 [size=\"49704960\", alpha=\"0.16\", expect_size=\"14911488\"] \n  24 -> 25 [size =\"14911488\"]\n  24 -> 26 [size =\"14911488\"]\n  25 [size=\"34440533\", alpha=\"0.02\", expect_size=\"10332160\"] \n  25 -> 27 [size =\"10332160\"]\n  25 -> 28 [size =\"10332160\"]\n  25 -> 29 [size =\"10332160\"]\n  26 [size=\"17537707\", alpha=\"0.18\", expect_size=\"5261312\"] \n  26 -> 27 [size =\"5261312\"]\n  26 -> 28 [size =\"5261312\"]\n  27 [size=\"173025280\", alpha=\"0.17\", expect_size=\"51907584\"] \n  27 -> 30 [size =\"51907584\"]\n  28 [size=\"63423147\", alpha=\"0.17\", expect_size=\"19026944\"] \n  28 -> 30 [size =\"19026944\"]\n  28 -> 32 [size =\"19026944\"]\n  29 [size=\"94484480\", alpha=\"0.03\", expect_size=\"28345344\"] \n  29 -> 30 [size =\"28345344\"]\n  29 -> 31 [size =\"28345344\"]\n  30 [size=\"136471893\", alpha=\"0.14\", expect_size=\"40941568\"] \n  30 -> 33 [size =\"40941568\"]\n  31 [size=\"84462933\", alpha=\"0.06\", expect_size=\"25338880\"] \n  31 -> 33 [size =\"25338880\"]\n  32 [size=\"26620587\", alpha=\"0.13\", expect_size=\"7986176\"] \n  32 -> 33 [size =\"7986176\"]\n  32 -> 34 [size =\"7986176\"]\n  33 [size=\"110141440\", alpha=\"0.12\", expect_size=\"33042432\"] \n  33 -> 35 [size =\"33042432\"]\n  33 -> 37 [size =\"33042432\"]\n  34 [size=\"97136640\", alpha=\"0.03\", expect_size=\"29140992\"] \n  34 -> 35 [size =\"29140992\"]\n  34 -> 36 [size =\"29140992\"]\n  34 -> 37 [size =\"29140992\"]\n  35 [size=\"66884267\", alpha=\"0.11\", expect_size=\"20065280\"] \n  35 -> 39 [size =\"20065280\"]\n  36 [size=\"85814613\", alpha=\"0.06\", expect_size=\"25744384\"] \n  36 -> 38 [size =\"25744384\"]\n  36 -> 39 [size =\"25744384\"]\n  36 -> 40 [size =\"25744384\"]\n  37 [size=\"68037973\", alpha=\"0.19\", expect_size=\"20411392\"] \n  37 -> 39 [size =\"20411392\"]\n  37 -> 40 [size =\"20411392\"]\n  38 [size=\"42383360\", alpha=\"0.05\", expect_size=\"12715008\"] \n  39 [size=\"172714667\", alpha=\"0.12\", expect_size=\"51814400\"] \n  40 [size=\"38789120\", alpha=\"0.07\", expect_size=\"11636736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163795627\", alpha=\"0.02\", expect_size=\"49138688\"] \n  2 [size=\"138181973\", alpha=\"0.20\", expect_size=\"41454592\"] \n  2 -> 3 [size =\"41454592\"]\n  2 -> 4 [size =\"41454592\"]\n  3 [size=\"159450453\", alpha=\"0.09\", expect_size=\"47835136\"] \n  3 -> 7 [size =\"47835136\"]\n  4 [size=\"92050773\", alpha=\"0.05\", expect_size=\"27615232\"] \n  4 -> 5 [size =\"27615232\"]\n  4 -> 6 [size =\"27615232\"]\n  5 [size=\"115182933\", alpha=\"0.03\", expect_size=\"34554880\"] \n  6 [size=\"154682027\", alpha=\"0.20\", expect_size=\"46404608\"] \n  6 -> 8 [size =\"46404608\"]\n  7 [size=\"134696960\", alpha=\"0.20\", expect_size=\"40409088\"] \n  7 -> 8 [size =\"40409088\"]\n  7 -> 9 [size =\"40409088\"]\n  7 -> 10 [size =\"40409088\"]\n  8 [size=\"69365760\", alpha=\"0.07\", expect_size=\"20809728\"] \n  8 -> 11 [size =\"20809728\"]\n  9 [size=\"63167147\", alpha=\"0.02\", expect_size=\"18950144\"] \n  10 [size=\"21070507\", alpha=\"0.08\", expect_size=\"6321152\"] \n  10 -> 11 [size =\"6321152\"]\n  10 -> 12 [size =\"6321152\"]\n  11 [size=\"51865600\", alpha=\"0.04\", expect_size=\"15559680\"] \n  11 -> 13 [size =\"15559680\"]\n  11 -> 15 [size =\"15559680\"]\n  12 [size=\"70396587\", alpha=\"0.03\", expect_size=\"21118976\"] \n  12 -> 14 [size =\"21118976\"]\n  13 [size=\"69314560\", alpha=\"0.04\", expect_size=\"20794368\"] \n  13 -> 16 [size =\"20794368\"]\n  13 -> 17 [size =\"20794368\"]\n  13 -> 18 [size =\"20794368\"]\n  14 [size=\"136540160\", alpha=\"0.10\", expect_size=\"40962048\"] \n  14 -> 18 [size =\"40962048\"]\n  15 [size=\"173527040\", alpha=\"0.13\", expect_size=\"52058112\"] \n  16 [size=\"39379627\", alpha=\"0.04\", expect_size=\"11813888\"] \n  16 -> 19 [size =\"11813888\"]\n  17 [size=\"38918827\", alpha=\"0.18\", expect_size=\"11675648\"] \n  17 -> 21 [size =\"11675648\"]\n  18 [size=\"35078827\", alpha=\"0.04\", expect_size=\"10523648\"] \n  18 -> 19 [size =\"10523648\"]\n  18 -> 20 [size =\"10523648\"]\n  19 [size=\"93207893\", alpha=\"0.15\", expect_size=\"27962368\"] \n  19 -> 23 [size =\"27962368\"]\n  20 [size=\"109441707\", alpha=\"0.14\", expect_size=\"32832512\"] \n  20 -> 22 [size =\"32832512\"]\n  21 [size=\"169786027\", alpha=\"0.12\", expect_size=\"50935808\"] \n  21 -> 22 [size =\"50935808\"]\n  22 [size=\"44625920\", alpha=\"0.06\", expect_size=\"13387776\"] \n  22 -> 24 [size =\"13387776\"]\n  23 [size=\"65010347\", alpha=\"0.17\", expect_size=\"19503104\"] \n  23 -> 25 [size =\"19503104\"]\n  23 -> 26 [size =\"19503104\"]\n  24 [size=\"97068373\", alpha=\"0.18\", expect_size=\"29120512\"] \n  24 -> 27 [size =\"29120512\"]\n  25 [size=\"21302613\", alpha=\"0.11\", expect_size=\"6390784\"] \n  25 -> 28 [size =\"6390784\"]\n  26 [size=\"123637760\", alpha=\"0.02\", expect_size=\"37091328\"] \n  26 -> 27 [size =\"37091328\"]\n  26 -> 28 [size =\"37091328\"]\n  27 [size=\"157972480\", alpha=\"0.08\", expect_size=\"47391744\"] \n  28 [size=\"138437973\", alpha=\"0.00\", expect_size=\"41531392\"] \n  28 -> 29 [size =\"41531392\"]\n  28 -> 30 [size =\"41531392\"]\n  28 -> 31 [size =\"41531392\"]\n  29 [size=\"170977280\", alpha=\"0.18\", expect_size=\"51293184\"] \n  30 [size=\"129546240\", alpha=\"0.17\", expect_size=\"38863872\"] \n  30 -> 32 [size =\"38863872\"]\n  30 -> 33 [size =\"38863872\"]\n  31 [size=\"83660800\", alpha=\"0.20\", expect_size=\"25098240\"] \n  31 -> 32 [size =\"25098240\"]\n  31 -> 34 [size =\"25098240\"]\n  32 [size=\"22347093\", alpha=\"0.09\", expect_size=\"6704128\"] \n  32 -> 35 [size =\"6704128\"]\n  33 [size=\"66317653\", alpha=\"0.06\", expect_size=\"19895296\"] \n  33 -> 36 [size =\"19895296\"]\n  34 [size=\"42977280\", alpha=\"0.17\", expect_size=\"12893184\"] \n  34 -> 35 [size =\"12893184\"]\n  34 -> 36 [size =\"12893184\"]\n  35 [size=\"26903893\", alpha=\"0.08\", expect_size=\"8071168\"] \n  35 -> 37 [size =\"8071168\"]\n  35 -> 38 [size =\"8071168\"]\n  36 [size=\"115804160\", alpha=\"0.02\", expect_size=\"34741248\"] \n  37 [size=\"132307627\", alpha=\"0.19\", expect_size=\"39692288\"] \n  38 [size=\"36355413\", alpha=\"0.18\", expect_size=\"10906624\"] \n  38 -> 39 [size =\"10906624\"]\n  38 -> 40 [size =\"10906624\"]\n  39 [size=\"37123413\", alpha=\"0.07\", expect_size=\"11137024\"] \n  40 [size=\"23016107\", alpha=\"0.07\", expect_size=\"6904832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85669888\", alpha=\"0.00\", expect_size=\"42834944\"] \n  2 [size=\"66572288\", alpha=\"0.12\", expect_size=\"33286144\"] \n  2 -> 3 [size =\"33286144\"]\n  2 -> 4 [size =\"33286144\"]\n  3 [size=\"39868416\", alpha=\"0.08\", expect_size=\"19934208\"] \n  3 -> 7 [size =\"19934208\"]\n  3 -> 8 [size =\"19934208\"]\n  4 [size=\"98777088\", alpha=\"0.03\", expect_size=\"49388544\"] \n  4 -> 5 [size =\"49388544\"]\n  4 -> 6 [size =\"49388544\"]\n  5 [size=\"39612416\", alpha=\"0.18\", expect_size=\"19806208\"] \n  5 -> 9 [size =\"19806208\"]\n  5 -> 10 [size =\"19806208\"]\n  6 [size=\"83705856\", alpha=\"0.17\", expect_size=\"41852928\"] \n  6 -> 9 [size =\"41852928\"]\n  7 [size=\"37679104\", alpha=\"0.05\", expect_size=\"18839552\"] \n  7 -> 11 [size =\"18839552\"]\n  8 [size=\"66519040\", alpha=\"0.15\", expect_size=\"33259520\"] \n  8 -> 10 [size =\"33259520\"]\n  9 [size=\"78663680\", alpha=\"0.07\", expect_size=\"39331840\"] \n  9 -> 13 [size =\"39331840\"]\n  10 [size=\"34646016\", alpha=\"0.12\", expect_size=\"17323008\"] \n  10 -> 12 [size =\"17323008\"]\n  11 [size=\"92545024\", alpha=\"0.09\", expect_size=\"46272512\"] \n  12 [size=\"92809216\", alpha=\"0.01\", expect_size=\"46404608\"] \n  12 -> 15 [size =\"46404608\"]\n  13 [size=\"55091200\", alpha=\"0.07\", expect_size=\"27545600\"] \n  13 -> 14 [size =\"27545600\"]\n  14 [size=\"91490304\", alpha=\"0.02\", expect_size=\"45745152\"] \n  14 -> 17 [size =\"45745152\"]\n  15 [size=\"103364608\", alpha=\"0.07\", expect_size=\"51682304\"] \n  15 -> 16 [size =\"51682304\"]\n  16 [size=\"92014592\", alpha=\"0.18\", expect_size=\"46007296\"] \n  17 [size=\"76560384\", alpha=\"0.18\", expect_size=\"38280192\"] \n  17 -> 18 [size =\"38280192\"]\n  17 -> 19 [size =\"38280192\"]\n  17 -> 20 [size =\"38280192\"]\n  18 [size=\"100925440\", alpha=\"0.13\", expect_size=\"50462720\"] \n  18 -> 22 [size =\"50462720\"]\n  18 -> 23 [size =\"50462720\"]\n  19 [size=\"78802944\", alpha=\"0.03\", expect_size=\"39401472\"] \n  19 -> 21 [size =\"39401472\"]\n  20 [size=\"15224832\", alpha=\"0.04\", expect_size=\"7612416\"] \n  20 -> 23 [size =\"7612416\"]\n  21 [size=\"71303168\", alpha=\"0.00\", expect_size=\"35651584\"] \n  21 -> 24 [size =\"35651584\"]\n  22 [size=\"19286016\", alpha=\"0.09\", expect_size=\"9643008\"] \n  23 [size=\"21716992\", alpha=\"0.03\", expect_size=\"10858496\"] \n  24 [size=\"54816768\", alpha=\"0.17\", expect_size=\"27408384\"] \n  24 -> 25 [size =\"27408384\"]\n  24 -> 26 [size =\"27408384\"]\n  24 -> 27 [size =\"27408384\"]\n  25 [size=\"63789056\", alpha=\"0.16\", expect_size=\"31894528\"] \n  25 -> 29 [size =\"31894528\"]\n  26 [size=\"98480128\", alpha=\"0.11\", expect_size=\"49240064\"] \n  26 -> 28 [size =\"49240064\"]\n  27 [size=\"89413632\", alpha=\"0.12\", expect_size=\"44706816\"] \n  27 -> 28 [size =\"44706816\"]\n  27 -> 30 [size =\"44706816\"]\n  28 [size=\"80048128\", alpha=\"0.05\", expect_size=\"40024064\"] \n  29 [size=\"48343040\", alpha=\"0.12\", expect_size=\"24171520\"] \n  29 -> 31 [size =\"24171520\"]\n  29 -> 33 [size =\"24171520\"]\n  30 [size=\"62298112\", alpha=\"0.05\", expect_size=\"31149056\"] \n  30 -> 32 [size =\"31149056\"]\n  31 [size=\"79314944\", alpha=\"0.14\", expect_size=\"39657472\"] \n  31 -> 34 [size =\"39657472\"]\n  31 -> 36 [size =\"39657472\"]\n  32 [size=\"80207872\", alpha=\"0.01\", expect_size=\"40103936\"] \n  33 [size=\"26693632\", alpha=\"0.18\", expect_size=\"13346816\"] \n  33 -> 35 [size =\"13346816\"]\n  34 [size=\"42526720\", alpha=\"0.12\", expect_size=\"21263360\"] \n  34 -> 38 [size =\"21263360\"]\n  35 [size=\"27256832\", alpha=\"0.05\", expect_size=\"13628416\"] \n  35 -> 37 [size =\"13628416\"]\n  36 [size=\"104384512\", alpha=\"0.16\", expect_size=\"52192256\"] \n  36 -> 38 [size =\"52192256\"]\n  37 [size=\"64012288\", alpha=\"0.01\", expect_size=\"32006144\"] \n  37 -> 39 [size =\"32006144\"]\n  38 [size=\"27709440\", alpha=\"0.05\", expect_size=\"13854720\"] \n  38 -> 40 [size =\"13854720\"]\n  39 [size=\"51509248\", alpha=\"0.03\", expect_size=\"25754624\"] \n  40 [size=\"14848000\", alpha=\"0.02\", expect_size=\"7424000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45428053\", alpha=\"0.11\", expect_size=\"13628416\"] \n  1 -> 2 [size =\"13628416\"]\n  2 [size=\"99153920\", alpha=\"0.06\", expect_size=\"29746176\"] \n  2 -> 3 [size =\"29746176\"]\n  3 [size=\"26678613\", alpha=\"0.04\", expect_size=\"8003584\"] \n  3 -> 4 [size =\"8003584\"]\n  4 [size=\"89105067\", alpha=\"0.08\", expect_size=\"26731520\"] \n  4 -> 5 [size =\"26731520\"]\n  5 [size=\"44718080\", alpha=\"0.10\", expect_size=\"13415424\"] \n  5 -> 6 [size =\"13415424\"]\n  6 [size=\"21971627\", alpha=\"0.13\", expect_size=\"6591488\"] \n  6 -> 7 [size =\"6591488\"]\n  7 [size=\"105164800\", alpha=\"0.01\", expect_size=\"31549440\"] \n  7 -> 8 [size =\"31549440\"]\n  8 [size=\"124924587\", alpha=\"0.01\", expect_size=\"37477376\"] \n  8 -> 9 [size =\"37477376\"]\n  9 [size=\"76035413\", alpha=\"0.08\", expect_size=\"22810624\"] \n  9 -> 10 [size =\"22810624\"]\n  10 [size=\"163280213\", alpha=\"0.11\", expect_size=\"48984064\"] \n  10 -> 11 [size =\"48984064\"]\n  11 [size=\"112172373\", alpha=\"0.20\", expect_size=\"33651712\"] \n  11 -> 12 [size =\"33651712\"]\n  12 [size=\"43226453\", alpha=\"0.01\", expect_size=\"12967936\"] \n  12 -> 13 [size =\"12967936\"]\n  13 [size=\"92767573\", alpha=\"0.06\", expect_size=\"27830272\"] \n  13 -> 14 [size =\"27830272\"]\n  14 [size=\"124276053\", alpha=\"0.19\", expect_size=\"37282816\"] \n  14 -> 15 [size =\"37282816\"]\n  15 [size=\"33730560\", alpha=\"0.06\", expect_size=\"10119168\"] \n  15 -> 16 [size =\"10119168\"]\n  16 [size=\"111411200\", alpha=\"0.12\", expect_size=\"33423360\"] \n  16 -> 17 [size =\"33423360\"]\n  17 [size=\"57975467\", alpha=\"0.18\", expect_size=\"17392640\"] \n  17 -> 18 [size =\"17392640\"]\n  18 [size=\"67901440\", alpha=\"0.17\", expect_size=\"20370432\"] \n  18 -> 19 [size =\"20370432\"]\n  19 [size=\"76741973\", alpha=\"0.03\", expect_size=\"23022592\"] \n  19 -> 20 [size =\"23022592\"]\n  20 [size=\"136236373\", alpha=\"0.17\", expect_size=\"40870912\"] \n  20 -> 21 [size =\"40870912\"]\n  21 [size=\"66635093\", alpha=\"0.14\", expect_size=\"19990528\"] \n  21 -> 22 [size =\"19990528\"]\n  22 [size=\"63068160\", alpha=\"0.02\", expect_size=\"18920448\"] \n  22 -> 23 [size =\"18920448\"]\n  23 [size=\"71075840\", alpha=\"0.11\", expect_size=\"21322752\"] \n  23 -> 24 [size =\"21322752\"]\n  24 [size=\"116172800\", alpha=\"0.09\", expect_size=\"34851840\"] \n  24 -> 25 [size =\"34851840\"]\n  25 [size=\"107342507\", alpha=\"0.10\", expect_size=\"32202752\"] \n  25 -> 26 [size =\"32202752\"]\n  26 [size=\"158071467\", alpha=\"0.12\", expect_size=\"47421440\"] \n  26 -> 27 [size =\"47421440\"]\n  27 [size=\"95406080\", alpha=\"0.06\", expect_size=\"28621824\"] \n  27 -> 28 [size =\"28621824\"]\n  28 [size=\"76922880\", alpha=\"0.12\", expect_size=\"23076864\"] \n  28 -> 29 [size =\"23076864\"]\n  29 [size=\"53609813\", alpha=\"0.07\", expect_size=\"16082944\"] \n  29 -> 30 [size =\"16082944\"]\n  30 [size=\"79544320\", alpha=\"0.20\", expect_size=\"23863296\"] \n  30 -> 31 [size =\"23863296\"]\n  31 [size=\"56463360\", alpha=\"0.04\", expect_size=\"16939008\"] \n  31 -> 32 [size =\"16939008\"]\n  32 [size=\"169598293\", alpha=\"0.13\", expect_size=\"50879488\"] \n  32 -> 33 [size =\"50879488\"]\n  33 [size=\"28777813\", alpha=\"0.10\", expect_size=\"8633344\"] \n  33 -> 34 [size =\"8633344\"]\n  34 [size=\"115060053\", alpha=\"0.02\", expect_size=\"34518016\"] \n  34 -> 35 [size =\"34518016\"]\n  35 [size=\"28214613\", alpha=\"0.15\", expect_size=\"8464384\"] \n  35 -> 36 [size =\"8464384\"]\n  36 [size=\"110062933\", alpha=\"0.00\", expect_size=\"33018880\"] \n  36 -> 37 [size =\"33018880\"]\n  37 [size=\"50527573\", alpha=\"0.11\", expect_size=\"15158272\"] \n  37 -> 38 [size =\"15158272\"]\n  38 [size=\"94583467\", alpha=\"0.08\", expect_size=\"28375040\"] \n  38 -> 39 [size =\"28375040\"]\n  39 [size=\"35112960\", alpha=\"0.12\", expect_size=\"10533888\"] \n  39 -> 40 [size =\"10533888\"]\n  40 [size=\"87961600\", alpha=\"0.11\", expect_size=\"26388480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35765760\", alpha=\"0.05\", expect_size=\"14306304\"] \n  1 -> 12 [size =\"14306304\"]\n  1 -> 18 [size =\"14306304\"]\n  1 -> 20 [size =\"14306304\"]\n  1 -> 21 [size =\"14306304\"]\n  2 [size=\"124144640\", alpha=\"0.19\", expect_size=\"49657856\"] \n  2 -> 13 [size =\"49657856\"]\n  2 -> 21 [size =\"49657856\"]\n  2 -> 22 [size =\"49657856\"]\n  3 [size=\"42880000\", alpha=\"0.13\", expect_size=\"17152000\"] \n  3 -> 12 [size =\"17152000\"]\n  3 -> 17 [size =\"17152000\"]\n  3 -> 20 [size =\"17152000\"]\n  3 -> 21 [size =\"17152000\"]\n  3 -> 22 [size =\"17152000\"]\n  4 [size=\"101434880\", alpha=\"0.19\", expect_size=\"40573952\"] \n  4 -> 13 [size =\"40573952\"]\n  4 -> 20 [size =\"40573952\"]\n  5 [size=\"14896640\", alpha=\"0.15\", expect_size=\"5958656\"] \n  5 -> 20 [size =\"5958656\"]\n  6 [size=\"99527680\", alpha=\"0.16\", expect_size=\"39811072\"] \n  6 -> 18 [size =\"39811072\"]\n  6 -> 20 [size =\"39811072\"]\n  6 -> 21 [size =\"39811072\"]\n  6 -> 22 [size =\"39811072\"]\n  7 [size=\"85327360\", alpha=\"0.06\", expect_size=\"34130944\"] \n  7 -> 14 [size =\"34130944\"]\n  7 -> 15 [size =\"34130944\"]\n  7 -> 17 [size =\"34130944\"]\n  7 -> 22 [size =\"34130944\"]\n  8 [size=\"53314560\", alpha=\"0.18\", expect_size=\"21325824\"] \n  8 -> 13 [size =\"21325824\"]\n  8 -> 16 [size =\"21325824\"]\n  8 -> 20 [size =\"21325824\"]\n  9 [size=\"32568320\", alpha=\"0.07\", expect_size=\"13027328\"] \n  9 -> 16 [size =\"13027328\"]\n  9 -> 17 [size =\"13027328\"]\n  10 [size=\"79572480\", alpha=\"0.20\", expect_size=\"31828992\"] \n  10 -> 12 [size =\"31828992\"]\n  10 -> 16 [size =\"31828992\"]\n  10 -> 19 [size =\"31828992\"]\n  10 -> 21 [size =\"31828992\"]\n  10 -> 22 [size =\"31828992\"]\n  11 [size=\"54794240\", alpha=\"0.16\", expect_size=\"21917696\"] \n  11 -> 13 [size =\"21917696\"]\n  11 -> 16 [size =\"21917696\"]\n  11 -> 21 [size =\"21917696\"]\n  11 -> 22 [size =\"21917696\"]\n  11 -> 22 [size =\"21917696\"]\n  12 [size=\"83860480\", alpha=\"0.00\", expect_size=\"33544192\"] \n  12 -> 23 [size =\"33544192\"]\n  12 -> 32 [size =\"33544192\"]\n  13 [size=\"79544320\", alpha=\"0.04\", expect_size=\"31817728\"] \n  13 -> 23 [size =\"31817728\"]\n  13 -> 32 [size =\"31817728\"]\n  14 [size=\"36367360\", alpha=\"0.19\", expect_size=\"14546944\"] \n  14 -> 25 [size =\"14546944\"]\n  14 -> 28 [size =\"14546944\"]\n  14 -> 37 [size =\"14546944\"]\n  15 [size=\"30023680\", alpha=\"0.17\", expect_size=\"12009472\"] \n  15 -> 28 [size =\"12009472\"]\n  15 -> 28 [size =\"12009472\"]\n  15 -> 30 [size =\"12009472\"]\n  15 -> 31 [size =\"12009472\"]\n  15 -> 35 [size =\"12009472\"]\n  16 [size=\"120698880\", alpha=\"0.14\", expect_size=\"48279552\"] \n  16 -> 24 [size =\"48279552\"]\n  16 -> 28 [size =\"48279552\"]\n  16 -> 37 [size =\"48279552\"]\n  17 [size=\"98137600\", alpha=\"0.20\", expect_size=\"39255040\"] \n  17 -> 28 [size =\"39255040\"]\n  17 -> 35 [size =\"39255040\"]\n  18 [size=\"14817280\", alpha=\"0.01\", expect_size=\"5926912\"] \n  18 -> 27 [size =\"5926912\"]\n  18 -> 31 [size =\"5926912\"]\n  18 -> 32 [size =\"5926912\"]\n  18 -> 33 [size =\"5926912\"]\n  18 -> 36 [size =\"5926912\"]\n  18 -> 37 [size =\"5926912\"]\n  19 [size=\"120394240\", alpha=\"0.11\", expect_size=\"48157696\"] \n  19 -> 23 [size =\"48157696\"]\n  19 -> 33 [size =\"48157696\"]\n  19 -> 36 [size =\"48157696\"]\n  20 [size=\"41116160\", alpha=\"0.10\", expect_size=\"16446464\"] \n  20 -> 26 [size =\"16446464\"]\n  20 -> 27 [size =\"16446464\"]\n  20 -> 31 [size =\"16446464\"]\n  20 -> 32 [size =\"16446464\"]\n  20 -> 34 [size =\"16446464\"]\n  20 -> 35 [size =\"16446464\"]\n  21 [size=\"40069120\", alpha=\"0.12\", expect_size=\"16027648\"] \n  21 -> 27 [size =\"16027648\"]\n  21 -> 33 [size =\"16027648\"]\n  21 -> 35 [size =\"16027648\"]\n  21 -> 37 [size =\"16027648\"]\n  22 [size=\"15482880\", alpha=\"0.13\", expect_size=\"6193152\"] \n  22 -> 29 [size =\"6193152\"]\n  22 -> 35 [size =\"6193152\"]\n  22 -> 35 [size =\"6193152\"]\n  23 [size=\"17267200\", alpha=\"0.19\", expect_size=\"6906880\"] \n  23 -> 38 [size =\"6906880\"]\n  24 [size=\"42792960\", alpha=\"0.00\", expect_size=\"17117184\"] \n  24 -> 38 [size =\"17117184\"]\n  25 [size=\"35973120\", alpha=\"0.02\", expect_size=\"14389248\"] \n  25 -> 38 [size =\"14389248\"]\n  25 -> 40 [size =\"14389248\"]\n  26 [size=\"17523200\", alpha=\"0.18\", expect_size=\"7009280\"] \n  26 -> 38 [size =\"7009280\"]\n  26 -> 39 [size =\"7009280\"]\n  27 [size=\"99822080\", alpha=\"0.06\", expect_size=\"39928832\"] \n  27 -> 38 [size =\"39928832\"]\n  28 [size=\"98918400\", alpha=\"0.01\", expect_size=\"39567360\"] \n  28 -> 38 [size =\"39567360\"]\n  29 [size=\"105779200\", alpha=\"0.19\", expect_size=\"42311680\"] \n  29 -> 40 [size =\"42311680\"]\n  30 [size=\"54471680\", alpha=\"0.09\", expect_size=\"21788672\"] \n  31 [size=\"111595520\", alpha=\"0.06\", expect_size=\"44638208\"] \n  32 [size=\"63877120\", alpha=\"0.14\", expect_size=\"25550848\"] \n  32 -> 38 [size =\"25550848\"]\n  33 [size=\"22353920\", alpha=\"0.14\", expect_size=\"8941568\"] \n  33 -> 38 [size =\"8941568\"]\n  34 [size=\"16803840\", alpha=\"0.18\", expect_size=\"6721536\"] \n  35 [size=\"17589760\", alpha=\"0.05\", expect_size=\"7035904\"] \n  35 -> 38 [size =\"7035904\"]\n  36 [size=\"26503680\", alpha=\"0.10\", expect_size=\"10601472\"] \n  37 [size=\"129963520\", alpha=\"0.10\", expect_size=\"51985408\"] \n  38 [size=\"46300160\", alpha=\"0.09\", expect_size=\"18520064\"] \n  39 [size=\"51648000\", alpha=\"0.07\", expect_size=\"20659200\"] \n  40 [size=\"47505920\", alpha=\"0.10\", expect_size=\"19002368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22822400\", alpha=\"0.11\", expect_size=\"9128960\"] \n  1 -> 2 [size =\"9128960\"]\n  2 [size=\"17346560\", alpha=\"0.15\", expect_size=\"6938624\"] \n  2 -> 3 [size =\"6938624\"]\n  3 [size=\"62853120\", alpha=\"0.14\", expect_size=\"25141248\"] \n  3 -> 4 [size =\"25141248\"]\n  4 [size=\"25031680\", alpha=\"0.15\", expect_size=\"10012672\"] \n  4 -> 5 [size =\"10012672\"]\n  5 [size=\"18682880\", alpha=\"0.16\", expect_size=\"7473152\"] \n  5 -> 6 [size =\"7473152\"]\n  6 [size=\"111569920\", alpha=\"0.16\", expect_size=\"44627968\"] \n  6 -> 7 [size =\"44627968\"]\n  7 [size=\"32194560\", alpha=\"0.20\", expect_size=\"12877824\"] \n  7 -> 8 [size =\"12877824\"]\n  8 [size=\"45035520\", alpha=\"0.08\", expect_size=\"18014208\"] \n  8 -> 9 [size =\"18014208\"]\n  9 [size=\"31639040\", alpha=\"0.08\", expect_size=\"12655616\"] \n  9 -> 10 [size =\"12655616\"]\n  10 [size=\"107059200\", alpha=\"0.19\", expect_size=\"42823680\"] \n  10 -> 11 [size =\"42823680\"]\n  11 [size=\"105484800\", alpha=\"0.05\", expect_size=\"42193920\"] \n  11 -> 12 [size =\"42193920\"]\n  12 [size=\"49669120\", alpha=\"0.19\", expect_size=\"19867648\"] \n  12 -> 13 [size =\"19867648\"]\n  13 [size=\"20625920\", alpha=\"0.11\", expect_size=\"8250368\"] \n  13 -> 14 [size =\"8250368\"]\n  14 [size=\"103795200\", alpha=\"0.04\", expect_size=\"41518080\"] \n  14 -> 15 [size =\"41518080\"]\n  15 [size=\"71836160\", alpha=\"0.09\", expect_size=\"28734464\"] \n  15 -> 16 [size =\"28734464\"]\n  16 [size=\"47767040\", alpha=\"0.10\", expect_size=\"19106816\"] \n  16 -> 17 [size =\"19106816\"]\n  17 [size=\"26173440\", alpha=\"0.08\", expect_size=\"10469376\"] \n  17 -> 18 [size =\"10469376\"]\n  18 [size=\"25446400\", alpha=\"0.07\", expect_size=\"10178560\"] \n  18 -> 19 [size =\"10178560\"]\n  19 [size=\"74659840\", alpha=\"0.06\", expect_size=\"29863936\"] \n  19 -> 20 [size =\"29863936\"]\n  20 [size=\"123056640\", alpha=\"0.03\", expect_size=\"49222656\"] \n  20 -> 21 [size =\"49222656\"]\n  21 [size=\"116707840\", alpha=\"0.01\", expect_size=\"46683136\"] \n  21 -> 22 [size =\"46683136\"]\n  22 [size=\"30266880\", alpha=\"0.00\", expect_size=\"12106752\"] \n  22 -> 23 [size =\"12106752\"]\n  23 [size=\"25213440\", alpha=\"0.08\", expect_size=\"10085376\"] \n  23 -> 24 [size =\"10085376\"]\n  24 [size=\"89548800\", alpha=\"0.18\", expect_size=\"35819520\"] \n  24 -> 25 [size =\"35819520\"]\n  25 [size=\"114769920\", alpha=\"0.09\", expect_size=\"45907968\"] \n  25 -> 26 [size =\"45907968\"]\n  26 [size=\"47393280\", alpha=\"0.16\", expect_size=\"18957312\"] \n  26 -> 27 [size =\"18957312\"]\n  27 [size=\"103769600\", alpha=\"0.07\", expect_size=\"41507840\"] \n  27 -> 28 [size =\"41507840\"]\n  28 [size=\"35179520\", alpha=\"0.03\", expect_size=\"14071808\"] \n  28 -> 29 [size =\"14071808\"]\n  29 [size=\"79321600\", alpha=\"0.02\", expect_size=\"31728640\"] \n  29 -> 30 [size =\"31728640\"]\n  30 [size=\"112939520\", alpha=\"0.17\", expect_size=\"45175808\"] \n  30 -> 31 [size =\"45175808\"]\n  31 [size=\"128419840\", alpha=\"0.08\", expect_size=\"51367936\"] \n  31 -> 32 [size =\"51367936\"]\n  32 [size=\"17515520\", alpha=\"0.05\", expect_size=\"7006208\"] \n  32 -> 33 [size =\"7006208\"]\n  33 [size=\"20392960\", alpha=\"0.03\", expect_size=\"8157184\"] \n  33 -> 34 [size =\"8157184\"]\n  34 [size=\"68838400\", alpha=\"0.17\", expect_size=\"27535360\"] \n  34 -> 35 [size =\"27535360\"]\n  35 [size=\"56811520\", alpha=\"0.00\", expect_size=\"22724608\"] \n  35 -> 36 [size =\"22724608\"]\n  36 [size=\"107855360\", alpha=\"0.10\", expect_size=\"43142144\"] \n  36 -> 37 [size =\"43142144\"]\n  37 [size=\"84503040\", alpha=\"0.01\", expect_size=\"33801216\"] \n  37 -> 38 [size =\"33801216\"]\n  38 [size=\"123806720\", alpha=\"0.15\", expect_size=\"49522688\"] \n  38 -> 39 [size =\"49522688\"]\n  39 [size=\"21772800\", alpha=\"0.19\", expect_size=\"8709120\"] \n  39 -> 40 [size =\"8709120\"]\n  40 [size=\"32860160\", alpha=\"0.02\", expect_size=\"13144064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23316480\", alpha=\"0.05\", expect_size=\"9326592\"] \n  1 -> 2 [size =\"9326592\"]\n  2 [size=\"79895040\", alpha=\"0.02\", expect_size=\"31958016\"] \n  2 -> 3 [size =\"31958016\"]\n  3 [size=\"63265280\", alpha=\"0.14\", expect_size=\"25306112\"] \n  3 -> 4 [size =\"25306112\"]\n  4 [size=\"50321920\", alpha=\"0.18\", expect_size=\"20128768\"] \n  4 -> 5 [size =\"20128768\"]\n  5 [size=\"69662720\", alpha=\"0.19\", expect_size=\"27865088\"] \n  5 -> 6 [size =\"27865088\"]\n  6 [size=\"101498880\", alpha=\"0.08\", expect_size=\"40599552\"] \n  6 -> 7 [size =\"40599552\"]\n  7 [size=\"107164160\", alpha=\"0.08\", expect_size=\"42865664\"] \n  7 -> 8 [size =\"42865664\"]\n  8 [size=\"113597440\", alpha=\"0.17\", expect_size=\"45438976\"] \n  8 -> 9 [size =\"45438976\"]\n  9 [size=\"42905600\", alpha=\"0.18\", expect_size=\"17162240\"] \n  9 -> 10 [size =\"17162240\"]\n  10 [size=\"33715200\", alpha=\"0.02\", expect_size=\"13486080\"] \n  10 -> 11 [size =\"13486080\"]\n  11 [size=\"65730560\", alpha=\"0.04\", expect_size=\"26292224\"] \n  11 -> 12 [size =\"26292224\"]\n  12 [size=\"94318080\", alpha=\"0.18\", expect_size=\"37727232\"] \n  12 -> 13 [size =\"37727232\"]\n  13 [size=\"107834880\", alpha=\"0.01\", expect_size=\"43133952\"] \n  13 -> 14 [size =\"43133952\"]\n  14 [size=\"74813440\", alpha=\"0.03\", expect_size=\"29925376\"] \n  14 -> 15 [size =\"29925376\"]\n  15 [size=\"62016000\", alpha=\"0.13\", expect_size=\"24806400\"] \n  15 -> 16 [size =\"24806400\"]\n  16 [size=\"55749120\", alpha=\"0.11\", expect_size=\"22299648\"] \n  16 -> 17 [size =\"22299648\"]\n  17 [size=\"102863360\", alpha=\"0.19\", expect_size=\"41145344\"] \n  17 -> 18 [size =\"41145344\"]\n  18 [size=\"31613440\", alpha=\"0.10\", expect_size=\"12645376\"] \n  18 -> 19 [size =\"12645376\"]\n  19 [size=\"13283840\", alpha=\"0.06\", expect_size=\"5313536\"] \n  19 -> 20 [size =\"5313536\"]\n  20 [size=\"121666560\", alpha=\"0.06\", expect_size=\"48666624\"] \n  20 -> 21 [size =\"48666624\"]\n  21 [size=\"17054720\", alpha=\"0.08\", expect_size=\"6821888\"] \n  21 -> 22 [size =\"6821888\"]\n  22 [size=\"41640960\", alpha=\"0.02\", expect_size=\"16656384\"] \n  22 -> 23 [size =\"16656384\"]\n  23 [size=\"30845440\", alpha=\"0.04\", expect_size=\"12338176\"] \n  23 -> 24 [size =\"12338176\"]\n  24 [size=\"34493440\", alpha=\"0.12\", expect_size=\"13797376\"] \n  24 -> 25 [size =\"13797376\"]\n  25 [size=\"53880320\", alpha=\"0.09\", expect_size=\"21552128\"] \n  25 -> 26 [size =\"21552128\"]\n  26 [size=\"131005440\", alpha=\"0.02\", expect_size=\"52402176\"] \n  26 -> 27 [size =\"52402176\"]\n  27 [size=\"75763200\", alpha=\"0.11\", expect_size=\"30305280\"] \n  27 -> 28 [size =\"30305280\"]\n  28 [size=\"67210240\", alpha=\"0.17\", expect_size=\"26884096\"] \n  28 -> 29 [size =\"26884096\"]\n  29 [size=\"126105600\", alpha=\"0.07\", expect_size=\"50442240\"] \n  29 -> 30 [size =\"50442240\"]\n  30 [size=\"43307520\", alpha=\"0.02\", expect_size=\"17323008\"] \n  30 -> 31 [size =\"17323008\"]\n  31 [size=\"80245760\", alpha=\"0.05\", expect_size=\"32098304\"] \n  31 -> 32 [size =\"32098304\"]\n  32 [size=\"129164800\", alpha=\"0.02\", expect_size=\"51665920\"] \n  32 -> 33 [size =\"51665920\"]\n  33 [size=\"20925440\", alpha=\"0.15\", expect_size=\"8370176\"] \n  33 -> 34 [size =\"8370176\"]\n  34 [size=\"41617920\", alpha=\"0.18\", expect_size=\"16647168\"] \n  34 -> 35 [size =\"16647168\"]\n  35 [size=\"110492160\", alpha=\"0.10\", expect_size=\"44196864\"] \n  35 -> 36 [size =\"44196864\"]\n  36 [size=\"48181760\", alpha=\"0.09\", expect_size=\"19272704\"] \n  36 -> 37 [size =\"19272704\"]\n  37 [size=\"61035520\", alpha=\"0.03\", expect_size=\"24414208\"] \n  37 -> 38 [size =\"24414208\"]\n  38 [size=\"125155840\", alpha=\"0.01\", expect_size=\"50062336\"] \n  38 -> 39 [size =\"50062336\"]\n  39 [size=\"105098240\", alpha=\"0.18\", expect_size=\"42039296\"] \n  39 -> 40 [size =\"42039296\"]\n  40 [size=\"30663680\", alpha=\"0.14\", expect_size=\"12265472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15325184\", alpha=\"0.13\", expect_size=\"7662592\"] \n  2 [size=\"14022656\", alpha=\"0.06\", expect_size=\"7011328\"] \n  2 -> 3 [size =\"7011328\"]\n  2 -> 4 [size =\"7011328\"]\n  2 -> 5 [size =\"7011328\"]\n  3 [size=\"79026176\", alpha=\"0.18\", expect_size=\"39513088\"] \n  4 [size=\"75982848\", alpha=\"0.16\", expect_size=\"37991424\"] \n  5 [size=\"39962624\", alpha=\"0.07\", expect_size=\"19981312\"] \n  5 -> 6 [size =\"19981312\"]\n  5 -> 7 [size =\"19981312\"]\n  6 [size=\"75589632\", alpha=\"0.06\", expect_size=\"37794816\"] \n  6 -> 8 [size =\"37794816\"]\n  7 [size=\"93353984\", alpha=\"0.08\", expect_size=\"46676992\"] \n  7 -> 9 [size =\"46676992\"]\n  8 [size=\"88711168\", alpha=\"0.14\", expect_size=\"44355584\"] \n  8 -> 10 [size =\"44355584\"]\n  8 -> 11 [size =\"44355584\"]\n  9 [size=\"27856896\", alpha=\"0.03\", expect_size=\"13928448\"] \n  9 -> 12 [size =\"13928448\"]\n  10 [size=\"46706688\", alpha=\"0.08\", expect_size=\"23353344\"] \n  10 -> 13 [size =\"23353344\"]\n  11 [size=\"43626496\", alpha=\"0.16\", expect_size=\"21813248\"] \n  12 [size=\"10981376\", alpha=\"0.15\", expect_size=\"5490688\"] \n  12 -> 14 [size =\"5490688\"]\n  13 [size=\"38508544\", alpha=\"0.00\", expect_size=\"19254272\"] \n  13 -> 15 [size =\"19254272\"]\n  13 -> 16 [size =\"19254272\"]\n  14 [size=\"30930944\", alpha=\"0.01\", expect_size=\"15465472\"] \n  15 [size=\"104523776\", alpha=\"0.09\", expect_size=\"52261888\"] \n  15 -> 17 [size =\"52261888\"]\n  16 [size=\"42952704\", alpha=\"0.18\", expect_size=\"21476352\"] \n  16 -> 18 [size =\"21476352\"]\n  17 [size=\"69337088\", alpha=\"0.11\", expect_size=\"34668544\"] \n  17 -> 19 [size =\"34668544\"]\n  18 [size=\"13232128\", alpha=\"0.01\", expect_size=\"6616064\"] \n  18 -> 20 [size =\"6616064\"]\n  18 -> 21 [size =\"6616064\"]\n  19 [size=\"79405056\", alpha=\"0.15\", expect_size=\"39702528\"] \n  19 -> 24 [size =\"39702528\"]\n  20 [size=\"94836736\", alpha=\"0.15\", expect_size=\"47418368\"] \n  20 -> 22 [size =\"47418368\"]\n  20 -> 24 [size =\"47418368\"]\n  21 [size=\"39432192\", alpha=\"0.16\", expect_size=\"19716096\"] \n  21 -> 23 [size =\"19716096\"]\n  22 [size=\"20766720\", alpha=\"0.18\", expect_size=\"10383360\"] \n  22 -> 26 [size =\"10383360\"]\n  23 [size=\"90316800\", alpha=\"0.14\", expect_size=\"45158400\"] \n  24 [size=\"91129856\", alpha=\"0.04\", expect_size=\"45564928\"] \n  24 -> 25 [size =\"45564928\"]\n  25 [size=\"96788480\", alpha=\"0.01\", expect_size=\"48394240\"] \n  25 -> 27 [size =\"48394240\"]\n  26 [size=\"44550144\", alpha=\"0.11\", expect_size=\"22275072\"] \n  26 -> 28 [size =\"22275072\"]\n  27 [size=\"35788800\", alpha=\"0.19\", expect_size=\"17894400\"] \n  28 [size=\"88909824\", alpha=\"0.03\", expect_size=\"44454912\"] \n  28 -> 29 [size =\"44454912\"]\n  28 -> 30 [size =\"44454912\"]\n  29 [size=\"91383808\", alpha=\"0.11\", expect_size=\"45691904\"] \n  30 [size=\"66414592\", alpha=\"0.07\", expect_size=\"33207296\"] \n  30 -> 31 [size =\"33207296\"]\n  30 -> 32 [size =\"33207296\"]\n  31 [size=\"41625600\", alpha=\"0.10\", expect_size=\"20812800\"] \n  31 -> 34 [size =\"20812800\"]\n  32 [size=\"21860352\", alpha=\"0.13\", expect_size=\"10930176\"] \n  32 -> 33 [size =\"10930176\"]\n  33 [size=\"10653696\", alpha=\"0.02\", expect_size=\"5326848\"] \n  34 [size=\"76550144\", alpha=\"0.15\", expect_size=\"38275072\"] \n  34 -> 35 [size =\"38275072\"]\n  34 -> 36 [size =\"38275072\"]\n  35 [size=\"96303104\", alpha=\"0.08\", expect_size=\"48151552\"] \n  35 -> 37 [size =\"48151552\"]\n  35 -> 38 [size =\"48151552\"]\n  36 [size=\"99389440\", alpha=\"0.08\", expect_size=\"49694720\"] \n  37 [size=\"56543232\", alpha=\"0.00\", expect_size=\"28271616\"] \n  37 -> 39 [size =\"28271616\"]\n  37 -> 40 [size =\"28271616\"]\n  38 [size=\"50630656\", alpha=\"0.13\", expect_size=\"25315328\"] \n  39 [size=\"65507328\", alpha=\"0.01\", expect_size=\"32753664\"] \n  40 [size=\"24176640\", alpha=\"0.06\", expect_size=\"12088320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13246464\", alpha=\"0.07\", expect_size=\"6623232\"] \n  1 -> 19 [size =\"6623232\"]\n  1 -> 20 [size =\"6623232\"]\n  1 -> 25 [size =\"6623232\"]\n  1 -> 27 [size =\"6623232\"]\n  1 -> 28 [size =\"6623232\"]\n  1 -> 31 [size =\"6623232\"]\n  1 -> 33 [size =\"6623232\"]\n  1 -> 34 [size =\"6623232\"]\n  2 [size=\"83324928\", alpha=\"0.07\", expect_size=\"41662464\"] \n  2 -> 19 [size =\"41662464\"]\n  2 -> 20 [size =\"41662464\"]\n  2 -> 22 [size =\"41662464\"]\n  2 -> 24 [size =\"41662464\"]\n  2 -> 26 [size =\"41662464\"]\n  2 -> 28 [size =\"41662464\"]\n  2 -> 30 [size =\"41662464\"]\n  2 -> 33 [size =\"41662464\"]\n  3 [size=\"15593472\", alpha=\"0.17\", expect_size=\"7796736\"] \n  3 -> 19 [size =\"7796736\"]\n  3 -> 22 [size =\"7796736\"]\n  3 -> 24 [size =\"7796736\"]\n  3 -> 25 [size =\"7796736\"]\n  3 -> 28 [size =\"7796736\"]\n  3 -> 28 [size =\"7796736\"]\n  3 -> 31 [size =\"7796736\"]\n  3 -> 32 [size =\"7796736\"]\n  3 -> 33 [size =\"7796736\"]\n  3 -> 34 [size =\"7796736\"]\n  4 [size=\"99278848\", alpha=\"0.03\", expect_size=\"49639424\"] \n  4 -> 19 [size =\"49639424\"]\n  4 -> 22 [size =\"49639424\"]\n  4 -> 26 [size =\"49639424\"]\n  4 -> 28 [size =\"49639424\"]\n  4 -> 28 [size =\"49639424\"]\n  4 -> 29 [size =\"49639424\"]\n  4 -> 30 [size =\"49639424\"]\n  4 -> 31 [size =\"49639424\"]\n  4 -> 33 [size =\"49639424\"]\n  4 -> 34 [size =\"49639424\"]\n  5 [size=\"72865792\", alpha=\"0.15\", expect_size=\"36432896\"] \n  5 -> 19 [size =\"36432896\"]\n  5 -> 26 [size =\"36432896\"]\n  5 -> 28 [size =\"36432896\"]\n  5 -> 33 [size =\"36432896\"]\n  5 -> 34 [size =\"36432896\"]\n  6 [size=\"68841472\", alpha=\"0.17\", expect_size=\"34420736\"] \n  6 -> 22 [size =\"34420736\"]\n  6 -> 25 [size =\"34420736\"]\n  6 -> 31 [size =\"34420736\"]\n  6 -> 33 [size =\"34420736\"]\n  6 -> 34 [size =\"34420736\"]\n  7 [size=\"98738176\", alpha=\"0.08\", expect_size=\"49369088\"] \n  7 -> 22 [size =\"49369088\"]\n  7 -> 28 [size =\"49369088\"]\n  7 -> 30 [size =\"49369088\"]\n  7 -> 31 [size =\"49369088\"]\n  7 -> 33 [size =\"49369088\"]\n  8 [size=\"47962112\", alpha=\"0.01\", expect_size=\"23981056\"] \n  8 -> 19 [size =\"23981056\"]\n  8 -> 21 [size =\"23981056\"]\n  8 -> 23 [size =\"23981056\"]\n  8 -> 30 [size =\"23981056\"]\n  8 -> 31 [size =\"23981056\"]\n  8 -> 32 [size =\"23981056\"]\n  8 -> 33 [size =\"23981056\"]\n  9 [size=\"82110464\", alpha=\"0.04\", expect_size=\"41055232\"] \n  9 -> 21 [size =\"41055232\"]\n  9 -> 26 [size =\"41055232\"]\n  9 -> 28 [size =\"41055232\"]\n  9 -> 30 [size =\"41055232\"]\n  9 -> 32 [size =\"41055232\"]\n  9 -> 33 [size =\"41055232\"]\n  9 -> 34 [size =\"41055232\"]\n  10 [size=\"70361088\", alpha=\"0.20\", expect_size=\"35180544\"] \n  10 -> 19 [size =\"35180544\"]\n  10 -> 25 [size =\"35180544\"]\n  10 -> 28 [size =\"35180544\"]\n  10 -> 30 [size =\"35180544\"]\n  10 -> 31 [size =\"35180544\"]\n  11 [size=\"96790528\", alpha=\"0.04\", expect_size=\"48395264\"] \n  11 -> 21 [size =\"48395264\"]\n  11 -> 27 [size =\"48395264\"]\n  11 -> 28 [size =\"48395264\"]\n  11 -> 30 [size =\"48395264\"]\n  11 -> 31 [size =\"48395264\"]\n  12 [size=\"34899968\", alpha=\"0.05\", expect_size=\"17449984\"] \n  12 -> 20 [size =\"17449984\"]\n  12 -> 22 [size =\"17449984\"]\n  12 -> 24 [size =\"17449984\"]\n  12 -> 26 [size =\"17449984\"]\n  12 -> 27 [size =\"17449984\"]\n  12 -> 28 [size =\"17449984\"]\n  12 -> 29 [size =\"17449984\"]\n  12 -> 30 [size =\"17449984\"]\n  12 -> 31 [size =\"17449984\"]\n  12 -> 33 [size =\"17449984\"]\n  12 -> 34 [size =\"17449984\"]\n  13 [size=\"68820992\", alpha=\"0.01\", expect_size=\"34410496\"] \n  13 -> 19 [size =\"34410496\"]\n  13 -> 20 [size =\"34410496\"]\n  13 -> 26 [size =\"34410496\"]\n  13 -> 27 [size =\"34410496\"]\n  13 -> 29 [size =\"34410496\"]\n  13 -> 30 [size =\"34410496\"]\n  13 -> 31 [size =\"34410496\"]\n  13 -> 32 [size =\"34410496\"]\n  14 [size=\"52912128\", alpha=\"0.03\", expect_size=\"26456064\"] \n  14 -> 20 [size =\"26456064\"]\n  14 -> 20 [size =\"26456064\"]\n  14 -> 22 [size =\"26456064\"]\n  14 -> 25 [size =\"26456064\"]\n  14 -> 26 [size =\"26456064\"]\n  14 -> 28 [size =\"26456064\"]\n  14 -> 29 [size =\"26456064\"]\n  14 -> 30 [size =\"26456064\"]\n  14 -> 31 [size =\"26456064\"]\n  14 -> 33 [size =\"26456064\"]\n  15 [size=\"68317184\", alpha=\"0.09\", expect_size=\"34158592\"] \n  15 -> 21 [size =\"34158592\"]\n  15 -> 23 [size =\"34158592\"]\n  15 -> 24 [size =\"34158592\"]\n  15 -> 25 [size =\"34158592\"]\n  15 -> 26 [size =\"34158592\"]\n  15 -> 27 [size =\"34158592\"]\n  15 -> 28 [size =\"34158592\"]\n  15 -> 30 [size =\"34158592\"]\n  15 -> 31 [size =\"34158592\"]\n  15 -> 32 [size =\"34158592\"]\n  15 -> 33 [size =\"34158592\"]\n  15 -> 34 [size =\"34158592\"]\n  16 [size=\"44400640\", alpha=\"0.06\", expect_size=\"22200320\"] \n  16 -> 21 [size =\"22200320\"]\n  16 -> 22 [size =\"22200320\"]\n  16 -> 24 [size =\"22200320\"]\n  16 -> 27 [size =\"22200320\"]\n  16 -> 28 [size =\"22200320\"]\n  16 -> 30 [size =\"22200320\"]\n  16 -> 31 [size =\"22200320\"]\n  16 -> 33 [size =\"22200320\"]\n  16 -> 34 [size =\"22200320\"]\n  17 [size=\"30703616\", alpha=\"0.16\", expect_size=\"15351808\"] \n  17 -> 20 [size =\"15351808\"]\n  17 -> 21 [size =\"15351808\"]\n  17 -> 25 [size =\"15351808\"]\n  17 -> 27 [size =\"15351808\"]\n  17 -> 30 [size =\"15351808\"]\n  17 -> 31 [size =\"15351808\"]\n  17 -> 31 [size =\"15351808\"]\n  17 -> 33 [size =\"15351808\"]\n  17 -> 34 [size =\"15351808\"]\n  18 [size=\"67086336\", alpha=\"0.10\", expect_size=\"33543168\"] \n  18 -> 19 [size =\"33543168\"]\n  18 -> 21 [size =\"33543168\"]\n  18 -> 25 [size =\"33543168\"]\n  18 -> 26 [size =\"33543168\"]\n  18 -> 29 [size =\"33543168\"]\n  18 -> 30 [size =\"33543168\"]\n  18 -> 31 [size =\"33543168\"]\n  18 -> 32 [size =\"33543168\"]\n  18 -> 33 [size =\"33543168\"]\n  18 -> 34 [size =\"33543168\"]\n  19 [size=\"69505024\", alpha=\"0.16\", expect_size=\"34752512\"] \n  19 -> 37 [size =\"34752512\"]\n  19 -> 39 [size =\"34752512\"]\n  20 [size=\"87756800\", alpha=\"0.00\", expect_size=\"43878400\"] \n  20 -> 35 [size =\"43878400\"]\n  21 [size=\"87281664\", alpha=\"0.05\", expect_size=\"43640832\"] \n  21 -> 35 [size =\"43640832\"]\n  21 -> 36 [size =\"43640832\"]\n  21 -> 37 [size =\"43640832\"]\n  21 -> 38 [size =\"43640832\"]\n  21 -> 39 [size =\"43640832\"]\n  21 -> 40 [size =\"43640832\"]\n  22 [size=\"13918208\", alpha=\"0.05\", expect_size=\"6959104\"] \n  22 -> 35 [size =\"6959104\"]\n  22 -> 37 [size =\"6959104\"]\n  22 -> 39 [size =\"6959104\"]\n  23 [size=\"35250176\", alpha=\"0.07\", expect_size=\"17625088\"] \n  23 -> 35 [size =\"17625088\"]\n  23 -> 37 [size =\"17625088\"]\n  23 -> 39 [size =\"17625088\"]\n  24 [size=\"39135232\", alpha=\"0.07\", expect_size=\"19567616\"] \n  24 -> 35 [size =\"19567616\"]\n  24 -> 37 [size =\"19567616\"]\n  24 -> 38 [size =\"19567616\"]\n  24 -> 39 [size =\"19567616\"]\n  25 [size=\"53127168\", alpha=\"0.00\", expect_size=\"26563584\"] \n  25 -> 35 [size =\"26563584\"]\n  25 -> 39 [size =\"26563584\"]\n  26 [size=\"93710336\", alpha=\"0.06\", expect_size=\"46855168\"] \n  26 -> 35 [size =\"46855168\"]\n  26 -> 37 [size =\"46855168\"]\n  26 -> 39 [size =\"46855168\"]\n  27 [size=\"26732544\", alpha=\"0.10\", expect_size=\"13366272\"] \n  27 -> 35 [size =\"13366272\"]\n  27 -> 36 [size =\"13366272\"]\n  27 -> 37 [size =\"13366272\"]\n  27 -> 39 [size =\"13366272\"]\n  28 [size=\"103768064\", alpha=\"0.03\", expect_size=\"51884032\"] \n  28 -> 35 [size =\"51884032\"]\n  28 -> 36 [size =\"51884032\"]\n  28 -> 37 [size =\"51884032\"]\n  28 -> 38 [size =\"51884032\"]\n  28 -> 39 [size =\"51884032\"]\n  29 [size=\"57110528\", alpha=\"0.10\", expect_size=\"28555264\"] \n  29 -> 35 [size =\"28555264\"]\n  29 -> 36 [size =\"28555264\"]\n  29 -> 37 [size =\"28555264\"]\n  30 [size=\"39241728\", alpha=\"0.11\", expect_size=\"19620864\"] \n  30 -> 35 [size =\"19620864\"]\n  30 -> 36 [size =\"19620864\"]\n  30 -> 37 [size =\"19620864\"]\n  30 -> 39 [size =\"19620864\"]\n  30 -> 40 [size =\"19620864\"]\n  31 [size=\"41277440\", alpha=\"0.09\", expect_size=\"20638720\"] \n  31 -> 35 [size =\"20638720\"]\n  31 -> 36 [size =\"20638720\"]\n  31 -> 39 [size =\"20638720\"]\n  32 [size=\"65980416\", alpha=\"0.13\", expect_size=\"32990208\"] \n  32 -> 35 [size =\"32990208\"]\n  32 -> 36 [size =\"32990208\"]\n  32 -> 37 [size =\"32990208\"]\n  33 [size=\"91817984\", alpha=\"0.09\", expect_size=\"45908992\"] \n  33 -> 35 [size =\"45908992\"]\n  33 -> 37 [size =\"45908992\"]\n  33 -> 38 [size =\"45908992\"]\n  33 -> 39 [size =\"45908992\"]\n  34 [size=\"29530112\", alpha=\"0.14\", expect_size=\"14765056\"] \n  34 -> 37 [size =\"14765056\"]\n  34 -> 37 [size =\"14765056\"]\n  34 -> 39 [size =\"14765056\"]\n  35 [size=\"62279680\", alpha=\"0.11\", expect_size=\"31139840\"] \n  36 [size=\"63705088\", alpha=\"0.16\", expect_size=\"31852544\"] \n  37 [size=\"92164096\", alpha=\"0.05\", expect_size=\"46082048\"] \n  38 [size=\"47165440\", alpha=\"0.05\", expect_size=\"23582720\"] \n  39 [size=\"60557312\", alpha=\"0.19\", expect_size=\"30278656\"] \n  40 [size=\"15224832\", alpha=\"0.08\", expect_size=\"7612416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58915840\", alpha=\"0.02\", expect_size=\"23566336\"] \n  1 -> 32 [size =\"23566336\"]\n  1 -> 34 [size =\"23566336\"]\n  1 -> 35 [size =\"23566336\"]\n  1 -> 36 [size =\"23566336\"]\n  1 -> 38 [size =\"23566336\"]\n  2 [size=\"106234880\", alpha=\"0.02\", expect_size=\"42493952\"] \n  2 -> 30 [size =\"42493952\"]\n  2 -> 32 [size =\"42493952\"]\n  2 -> 34 [size =\"42493952\"]\n  2 -> 35 [size =\"42493952\"]\n  2 -> 36 [size =\"42493952\"]\n  2 -> 38 [size =\"42493952\"]\n  3 [size=\"69122560\", alpha=\"0.17\", expect_size=\"27649024\"] \n  3 -> 32 [size =\"27649024\"]\n  3 -> 32 [size =\"27649024\"]\n  3 -> 35 [size =\"27649024\"]\n  3 -> 35 [size =\"27649024\"]\n  3 -> 36 [size =\"27649024\"]\n  3 -> 38 [size =\"27649024\"]\n  4 [size=\"32056320\", alpha=\"0.14\", expect_size=\"12822528\"] \n  4 -> 32 [size =\"12822528\"]\n  4 -> 35 [size =\"12822528\"]\n  4 -> 37 [size =\"12822528\"]\n  4 -> 38 [size =\"12822528\"]\n  5 [size=\"90150400\", alpha=\"0.13\", expect_size=\"36060160\"] \n  5 -> 31 [size =\"36060160\"]\n  5 -> 32 [size =\"36060160\"]\n  5 -> 34 [size =\"36060160\"]\n  5 -> 36 [size =\"36060160\"]\n  5 -> 37 [size =\"36060160\"]\n  5 -> 38 [size =\"36060160\"]\n  6 [size=\"46528000\", alpha=\"0.04\", expect_size=\"18611200\"] \n  6 -> 32 [size =\"18611200\"]\n  6 -> 34 [size =\"18611200\"]\n  6 -> 35 [size =\"18611200\"]\n  6 -> 36 [size =\"18611200\"]\n  7 [size=\"14246400\", alpha=\"0.19\", expect_size=\"5698560\"] \n  7 -> 33 [size =\"5698560\"]\n  7 -> 34 [size =\"5698560\"]\n  7 -> 35 [size =\"5698560\"]\n  7 -> 38 [size =\"5698560\"]\n  8 [size=\"88624640\", alpha=\"0.13\", expect_size=\"35449856\"] \n  8 -> 34 [size =\"35449856\"]\n  8 -> 35 [size =\"35449856\"]\n  8 -> 38 [size =\"35449856\"]\n  8 -> 39 [size =\"35449856\"]\n  8 -> 40 [size =\"35449856\"]\n  9 [size=\"126400000\", alpha=\"0.00\", expect_size=\"50560000\"] \n  9 -> 36 [size =\"50560000\"]\n  9 -> 39 [size =\"50560000\"]\n  9 -> 40 [size =\"50560000\"]\n  10 [size=\"53189120\", alpha=\"0.13\", expect_size=\"21275648\"] \n  10 -> 31 [size =\"21275648\"]\n  10 -> 34 [size =\"21275648\"]\n  10 -> 35 [size =\"21275648\"]\n  10 -> 36 [size =\"21275648\"]\n  11 [size=\"68746240\", alpha=\"0.16\", expect_size=\"27498496\"] \n  11 -> 30 [size =\"27498496\"]\n  11 -> 31 [size =\"27498496\"]\n  11 -> 32 [size =\"27498496\"]\n  11 -> 35 [size =\"27498496\"]\n  11 -> 36 [size =\"27498496\"]\n  12 [size=\"80640000\", alpha=\"0.16\", expect_size=\"32256000\"] \n  12 -> 32 [size =\"32256000\"]\n  12 -> 33 [size =\"32256000\"]\n  12 -> 36 [size =\"32256000\"]\n  12 -> 38 [size =\"32256000\"]\n  12 -> 39 [size =\"32256000\"]\n  13 [size=\"92387840\", alpha=\"0.11\", expect_size=\"36955136\"] \n  13 -> 31 [size =\"36955136\"]\n  13 -> 32 [size =\"36955136\"]\n  13 -> 36 [size =\"36955136\"]\n  13 -> 38 [size =\"36955136\"]\n  13 -> 39 [size =\"36955136\"]\n  13 -> 40 [size =\"36955136\"]\n  14 [size=\"73684480\", alpha=\"0.06\", expect_size=\"29473792\"] \n  14 -> 33 [size =\"29473792\"]\n  14 -> 36 [size =\"29473792\"]\n  14 -> 36 [size =\"29473792\"]\n  14 -> 37 [size =\"29473792\"]\n  14 -> 39 [size =\"29473792\"]\n  15 [size=\"40596480\", alpha=\"0.18\", expect_size=\"16238592\"] \n  15 -> 30 [size =\"16238592\"]\n  15 -> 32 [size =\"16238592\"]\n  15 -> 33 [size =\"16238592\"]\n  15 -> 36 [size =\"16238592\"]\n  15 -> 38 [size =\"16238592\"]\n  15 -> 39 [size =\"16238592\"]\n  15 -> 40 [size =\"16238592\"]\n  16 [size=\"117934080\", alpha=\"0.08\", expect_size=\"47173632\"] \n  16 -> 33 [size =\"47173632\"]\n  16 -> 35 [size =\"47173632\"]\n  16 -> 36 [size =\"47173632\"]\n  16 -> 38 [size =\"47173632\"]\n  16 -> 39 [size =\"47173632\"]\n  17 [size=\"23155200\", alpha=\"0.19\", expect_size=\"9262080\"] \n  17 -> 31 [size =\"9262080\"]\n  17 -> 35 [size =\"9262080\"]\n  17 -> 36 [size =\"9262080\"]\n  17 -> 39 [size =\"9262080\"]\n  18 [size=\"16865280\", alpha=\"0.16\", expect_size=\"6746112\"] \n  18 -> 34 [size =\"6746112\"]\n  18 -> 35 [size =\"6746112\"]\n  18 -> 36 [size =\"6746112\"]\n  18 -> 37 [size =\"6746112\"]\n  18 -> 39 [size =\"6746112\"]\n  19 [size=\"95400960\", alpha=\"0.20\", expect_size=\"38160384\"] \n  19 -> 35 [size =\"38160384\"]\n  19 -> 36 [size =\"38160384\"]\n  19 -> 39 [size =\"38160384\"]\n  20 [size=\"96716800\", alpha=\"0.17\", expect_size=\"38686720\"] \n  20 -> 30 [size =\"38686720\"]\n  20 -> 34 [size =\"38686720\"]\n  20 -> 36 [size =\"38686720\"]\n  20 -> 37 [size =\"38686720\"]\n  20 -> 38 [size =\"38686720\"]\n  20 -> 39 [size =\"38686720\"]\n  21 [size=\"53949440\", alpha=\"0.03\", expect_size=\"21579776\"] \n  21 -> 30 [size =\"21579776\"]\n  21 -> 32 [size =\"21579776\"]\n  21 -> 35 [size =\"21579776\"]\n  22 [size=\"31677440\", alpha=\"0.04\", expect_size=\"12670976\"] \n  22 -> 30 [size =\"12670976\"]\n  22 -> 32 [size =\"12670976\"]\n  22 -> 34 [size =\"12670976\"]\n  22 -> 35 [size =\"12670976\"]\n  22 -> 36 [size =\"12670976\"]\n  22 -> 37 [size =\"12670976\"]\n  22 -> 38 [size =\"12670976\"]\n  22 -> 40 [size =\"12670976\"]\n  23 [size=\"127229440\", alpha=\"0.15\", expect_size=\"50891776\"] \n  23 -> 32 [size =\"50891776\"]\n  23 -> 32 [size =\"50891776\"]\n  23 -> 35 [size =\"50891776\"]\n  23 -> 37 [size =\"50891776\"]\n  23 -> 38 [size =\"50891776\"]\n  24 [size=\"72872960\", alpha=\"0.09\", expect_size=\"29149184\"] \n  24 -> 35 [size =\"29149184\"]\n  24 -> 39 [size =\"29149184\"]\n  25 [size=\"107005440\", alpha=\"0.16\", expect_size=\"42802176\"] \n  25 -> 31 [size =\"42802176\"]\n  25 -> 32 [size =\"42802176\"]\n  25 -> 33 [size =\"42802176\"]\n  25 -> 35 [size =\"42802176\"]\n  25 -> 39 [size =\"42802176\"]\n  26 [size=\"92536320\", alpha=\"0.08\", expect_size=\"37014528\"] \n  26 -> 35 [size =\"37014528\"]\n  26 -> 36 [size =\"37014528\"]\n  26 -> 39 [size =\"37014528\"]\n  26 -> 40 [size =\"37014528\"]\n  27 [size=\"20712960\", alpha=\"0.01\", expect_size=\"8285184\"] \n  27 -> 36 [size =\"8285184\"]\n  27 -> 39 [size =\"8285184\"]\n  28 [size=\"14266880\", alpha=\"0.07\", expect_size=\"5706752\"] \n  28 -> 30 [size =\"5706752\"]\n  28 -> 35 [size =\"5706752\"]\n  28 -> 36 [size =\"5706752\"]\n  28 -> 38 [size =\"5706752\"]\n  28 -> 39 [size =\"5706752\"]\n  29 [size=\"110297600\", alpha=\"0.12\", expect_size=\"44119040\"] \n  29 -> 30 [size =\"44119040\"]\n  29 -> 34 [size =\"44119040\"]\n  29 -> 35 [size =\"44119040\"]\n  29 -> 38 [size =\"44119040\"]\n  29 -> 40 [size =\"44119040\"]\n  30 [size=\"107765760\", alpha=\"0.03\", expect_size=\"43106304\"] \n  31 [size=\"91499520\", alpha=\"0.04\", expect_size=\"36599808\"] \n  32 [size=\"107307520\", alpha=\"0.17\", expect_size=\"42923008\"] \n  33 [size=\"130352640\", alpha=\"0.03\", expect_size=\"52141056\"] \n  34 [size=\"98685440\", alpha=\"0.19\", expect_size=\"39474176\"] \n  35 [size=\"31260160\", alpha=\"0.00\", expect_size=\"12504064\"] \n  36 [size=\"123082240\", alpha=\"0.19\", expect_size=\"49232896\"] \n  37 [size=\"53680640\", alpha=\"0.19\", expect_size=\"21472256\"] \n  38 [size=\"60124160\", alpha=\"0.00\", expect_size=\"24049664\"] \n  39 [size=\"99968000\", alpha=\"0.15\", expect_size=\"39987200\"] \n  40 [size=\"50575360\", alpha=\"0.04\", expect_size=\"20230144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25128960\", alpha=\"0.11\", expect_size=\"12564480\"] \n  2 [size=\"41992192\", alpha=\"0.11\", expect_size=\"20996096\"] \n  2 -> 6 [size =\"20996096\"]\n  3 [size=\"27473920\", alpha=\"0.17\", expect_size=\"13736960\"] \n  3 -> 5 [size =\"13736960\"]\n  4 [size=\"49379328\", alpha=\"0.13\", expect_size=\"24689664\"] \n  4 -> 6 [size =\"24689664\"]\n  5 [size=\"96776192\", alpha=\"0.04\", expect_size=\"48388096\"] \n  5 -> 7 [size =\"48388096\"]\n  5 -> 9 [size =\"48388096\"]\n  6 [size=\"11169792\", alpha=\"0.01\", expect_size=\"5584896\"] \n  6 -> 8 [size =\"5584896\"]\n  7 [size=\"54976512\", alpha=\"0.18\", expect_size=\"27488256\"] \n  7 -> 11 [size =\"27488256\"]\n  8 [size=\"52705280\", alpha=\"0.12\", expect_size=\"26352640\"] \n  8 -> 10 [size =\"26352640\"]\n  9 [size=\"24188928\", alpha=\"0.01\", expect_size=\"12094464\"] \n  9 -> 12 [size =\"12094464\"]\n  10 [size=\"11909120\", alpha=\"0.12\", expect_size=\"5954560\"] \n  10 -> 15 [size =\"5954560\"]\n  10 -> 16 [size =\"5954560\"]\n  11 [size=\"90632192\", alpha=\"0.02\", expect_size=\"45316096\"] \n  11 -> 14 [size =\"45316096\"]\n  11 -> 15 [size =\"45316096\"]\n  11 -> 16 [size =\"45316096\"]\n  12 [size=\"46458880\", alpha=\"0.01\", expect_size=\"23229440\"] \n  12 -> 13 [size =\"23229440\"]\n  12 -> 14 [size =\"23229440\"]\n  13 [size=\"97021952\", alpha=\"0.15\", expect_size=\"48510976\"] \n  13 -> 17 [size =\"48510976\"]\n  14 [size=\"84838400\", alpha=\"0.02\", expect_size=\"42419200\"] \n  14 -> 17 [size =\"42419200\"]\n  14 -> 18 [size =\"42419200\"]\n  14 -> 19 [size =\"42419200\"]\n  15 [size=\"51494912\", alpha=\"0.04\", expect_size=\"25747456\"] \n  15 -> 19 [size =\"25747456\"]\n  16 [size=\"72554496\", alpha=\"0.17\", expect_size=\"36277248\"] \n  17 [size=\"79339520\", alpha=\"0.00\", expect_size=\"39669760\"] \n  17 -> 21 [size =\"39669760\"]\n  18 [size=\"69236736\", alpha=\"0.18\", expect_size=\"34618368\"] \n  18 -> 20 [size =\"34618368\"]\n  18 -> 22 [size =\"34618368\"]\n  19 [size=\"33624064\", alpha=\"0.09\", expect_size=\"16812032\"] \n  19 -> 20 [size =\"16812032\"]\n  19 -> 21 [size =\"16812032\"]\n  20 [size=\"36655104\", alpha=\"0.19\", expect_size=\"18327552\"] \n  21 [size=\"93132800\", alpha=\"0.12\", expect_size=\"46566400\"] \n  21 -> 23 [size =\"46566400\"]\n  21 -> 25 [size =\"46566400\"]\n  22 [size=\"104695808\", alpha=\"0.12\", expect_size=\"52347904\"] \n  22 -> 24 [size =\"52347904\"]\n  23 [size=\"14440448\", alpha=\"0.16\", expect_size=\"7220224\"] \n  24 [size=\"83517440\", alpha=\"0.07\", expect_size=\"41758720\"] \n  24 -> 27 [size =\"41758720\"]\n  24 -> 28 [size =\"41758720\"]\n  25 [size=\"92137472\", alpha=\"0.17\", expect_size=\"46068736\"] \n  25 -> 26 [size =\"46068736\"]\n  25 -> 27 [size =\"46068736\"]\n  26 [size=\"15249408\", alpha=\"0.08\", expect_size=\"7624704\"] \n  27 [size=\"95240192\", alpha=\"0.07\", expect_size=\"47620096\"] \n  28 [size=\"96501760\", alpha=\"0.16\", expect_size=\"48250880\"] \n  28 -> 29 [size =\"48250880\"]\n  28 -> 30 [size =\"48250880\"]\n  29 [size=\"89122816\", alpha=\"0.07\", expect_size=\"44561408\"] \n  29 -> 32 [size =\"44561408\"]\n  29 -> 34 [size =\"44561408\"]\n  30 [size=\"35313664\", alpha=\"0.19\", expect_size=\"17656832\"] \n  30 -> 31 [size =\"17656832\"]\n  30 -> 33 [size =\"17656832\"]\n  31 [size=\"29495296\", alpha=\"0.08\", expect_size=\"14747648\"] \n  31 -> 35 [size =\"14747648\"]\n  32 [size=\"86312960\", alpha=\"0.04\", expect_size=\"43156480\"] \n  32 -> 35 [size =\"43156480\"]\n  33 [size=\"48533504\", alpha=\"0.19\", expect_size=\"24266752\"] \n  34 [size=\"27512832\", alpha=\"0.10\", expect_size=\"13756416\"] \n  35 [size=\"62148608\", alpha=\"0.09\", expect_size=\"31074304\"] \n  35 -> 36 [size =\"31074304\"]\n  35 -> 37 [size =\"31074304\"]\n  35 -> 38 [size =\"31074304\"]\n  36 [size=\"49989632\", alpha=\"0.01\", expect_size=\"24994816\"] \n  36 -> 40 [size =\"24994816\"]\n  37 [size=\"86087680\", alpha=\"0.08\", expect_size=\"43043840\"] \n  37 -> 39 [size =\"43043840\"]\n  38 [size=\"26195968\", alpha=\"0.08\", expect_size=\"13097984\"] \n  38 -> 39 [size =\"13097984\"]\n  38 -> 40 [size =\"13097984\"]\n  39 [size=\"101273600\", alpha=\"0.12\", expect_size=\"50636800\"] \n  40 [size=\"41912320\", alpha=\"0.02\", expect_size=\"20956160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63057920\", alpha=\"0.03\", expect_size=\"25223168\"] \n  1 -> 2 [size =\"25223168\"]\n  2 [size=\"105413120\", alpha=\"0.06\", expect_size=\"42165248\"] \n  2 -> 3 [size =\"42165248\"]\n  3 [size=\"38307840\", alpha=\"0.13\", expect_size=\"15323136\"] \n  3 -> 4 [size =\"15323136\"]\n  4 [size=\"13857280\", alpha=\"0.09\", expect_size=\"5542912\"] \n  4 -> 5 [size =\"5542912\"]\n  5 [size=\"105733120\", alpha=\"0.02\", expect_size=\"42293248\"] \n  5 -> 6 [size =\"42293248\"]\n  6 [size=\"22778880\", alpha=\"0.08\", expect_size=\"9111552\"] \n  6 -> 7 [size =\"9111552\"]\n  7 [size=\"17902080\", alpha=\"0.00\", expect_size=\"7160832\"] \n  7 -> 8 [size =\"7160832\"]\n  8 [size=\"60695040\", alpha=\"0.18\", expect_size=\"24278016\"] \n  8 -> 9 [size =\"24278016\"]\n  9 [size=\"115558400\", alpha=\"0.03\", expect_size=\"46223360\"] \n  9 -> 10 [size =\"46223360\"]\n  10 [size=\"73326080\", alpha=\"0.03\", expect_size=\"29330432\"] \n  10 -> 11 [size =\"29330432\"]\n  11 [size=\"54904320\", alpha=\"0.11\", expect_size=\"21961728\"] \n  11 -> 12 [size =\"21961728\"]\n  12 [size=\"73556480\", alpha=\"0.08\", expect_size=\"29422592\"] \n  12 -> 13 [size =\"29422592\"]\n  13 [size=\"107159040\", alpha=\"0.12\", expect_size=\"42863616\"] \n  13 -> 14 [size =\"42863616\"]\n  14 [size=\"63964160\", alpha=\"0.04\", expect_size=\"25585664\"] \n  14 -> 15 [size =\"25585664\"]\n  15 [size=\"116229120\", alpha=\"0.01\", expect_size=\"46491648\"] \n  15 -> 16 [size =\"46491648\"]\n  16 [size=\"125621760\", alpha=\"0.09\", expect_size=\"50248704\"] \n  16 -> 17 [size =\"50248704\"]\n  17 [size=\"54016000\", alpha=\"0.15\", expect_size=\"21606400\"] \n  17 -> 18 [size =\"21606400\"]\n  18 [size=\"54528000\", alpha=\"0.01\", expect_size=\"21811200\"] \n  18 -> 19 [size =\"21811200\"]\n  19 [size=\"43015680\", alpha=\"0.04\", expect_size=\"17206272\"] \n  19 -> 20 [size =\"17206272\"]\n  20 [size=\"59566080\", alpha=\"0.05\", expect_size=\"23826432\"] \n  20 -> 21 [size =\"23826432\"]\n  21 [size=\"78579200\", alpha=\"0.14\", expect_size=\"31431680\"] \n  21 -> 22 [size =\"31431680\"]\n  22 [size=\"27276800\", alpha=\"0.19\", expect_size=\"10910720\"] \n  22 -> 23 [size =\"10910720\"]\n  23 [size=\"74444800\", alpha=\"0.08\", expect_size=\"29777920\"] \n  23 -> 24 [size =\"29777920\"]\n  24 [size=\"29798400\", alpha=\"0.17\", expect_size=\"11919360\"] \n  24 -> 25 [size =\"11919360\"]\n  25 [size=\"52533760\", alpha=\"0.01\", expect_size=\"21013504\"] \n  25 -> 26 [size =\"21013504\"]\n  26 [size=\"55889920\", alpha=\"0.08\", expect_size=\"22355968\"] \n  26 -> 27 [size =\"22355968\"]\n  27 [size=\"109534720\", alpha=\"0.15\", expect_size=\"43813888\"] \n  27 -> 28 [size =\"43813888\"]\n  28 [size=\"82554880\", alpha=\"0.10\", expect_size=\"33021952\"] \n  28 -> 29 [size =\"33021952\"]\n  29 [size=\"87188480\", alpha=\"0.03\", expect_size=\"34875392\"] \n  29 -> 30 [size =\"34875392\"]\n  30 [size=\"112522240\", alpha=\"0.06\", expect_size=\"45008896\"] \n  30 -> 31 [size =\"45008896\"]\n  31 [size=\"23216640\", alpha=\"0.16\", expect_size=\"9286656\"] \n  31 -> 32 [size =\"9286656\"]\n  32 [size=\"105149440\", alpha=\"0.16\", expect_size=\"42059776\"] \n  32 -> 33 [size =\"42059776\"]\n  33 [size=\"96734720\", alpha=\"0.12\", expect_size=\"38693888\"] \n  33 -> 34 [size =\"38693888\"]\n  34 [size=\"23173120\", alpha=\"0.17\", expect_size=\"9269248\"] \n  34 -> 35 [size =\"9269248\"]\n  35 [size=\"121152000\", alpha=\"0.19\", expect_size=\"48460800\"] \n  35 -> 36 [size =\"48460800\"]\n  36 [size=\"129395200\", alpha=\"0.01\", expect_size=\"51758080\"] \n  36 -> 37 [size =\"51758080\"]\n  37 [size=\"57582080\", alpha=\"0.09\", expect_size=\"23032832\"] \n  37 -> 38 [size =\"23032832\"]\n  38 [size=\"28472320\", alpha=\"0.04\", expect_size=\"11388928\"] \n  38 -> 39 [size =\"11388928\"]\n  39 [size=\"89653760\", alpha=\"0.05\", expect_size=\"35861504\"] \n  39 -> 40 [size =\"35861504\"]\n  40 [size=\"107648000\", alpha=\"0.13\", expect_size=\"43059200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49830400\", alpha=\"0.08\", expect_size=\"19932160\"] \n  1 -> 5 [size =\"19932160\"]\n  1 -> 6 [size =\"19932160\"]\n  1 -> 7 [size =\"19932160\"]\n  2 [size=\"29186560\", alpha=\"0.11\", expect_size=\"11674624\"] \n  2 -> 6 [size =\"11674624\"]\n  2 -> 7 [size =\"11674624\"]\n  3 [size=\"25843200\", alpha=\"0.05\", expect_size=\"10337280\"] \n  3 -> 5 [size =\"10337280\"]\n  3 -> 7 [size =\"10337280\"]\n  4 [size=\"116357120\", alpha=\"0.13\", expect_size=\"46542848\"] \n  4 -> 5 [size =\"46542848\"]\n  4 -> 7 [size =\"46542848\"]\n  5 [size=\"125350400\", alpha=\"0.13\", expect_size=\"50140160\"] \n  5 -> 10 [size =\"50140160\"]\n  5 -> 11 [size =\"50140160\"]\n  6 [size=\"57474560\", alpha=\"0.11\", expect_size=\"22989824\"] \n  6 -> 8 [size =\"22989824\"]\n  6 -> 11 [size =\"22989824\"]\n  7 [size=\"99228160\", alpha=\"0.02\", expect_size=\"39691264\"] \n  7 -> 9 [size =\"39691264\"]\n  7 -> 11 [size =\"39691264\"]\n  8 [size=\"99934720\", alpha=\"0.07\", expect_size=\"39973888\"] \n  8 -> 12 [size =\"39973888\"]\n  8 -> 13 [size =\"39973888\"]\n  8 -> 15 [size =\"39973888\"]\n  8 -> 16 [size =\"39973888\"]\n  8 -> 17 [size =\"39973888\"]\n  9 [size=\"113249280\", alpha=\"0.19\", expect_size=\"45299712\"] \n  9 -> 12 [size =\"45299712\"]\n  9 -> 13 [size =\"45299712\"]\n  9 -> 15 [size =\"45299712\"]\n  9 -> 16 [size =\"45299712\"]\n  9 -> 17 [size =\"45299712\"]\n  10 [size=\"78799360\", alpha=\"0.12\", expect_size=\"31519744\"] \n  10 -> 12 [size =\"31519744\"]\n  10 -> 13 [size =\"31519744\"]\n  10 -> 14 [size =\"31519744\"]\n  10 -> 15 [size =\"31519744\"]\n  10 -> 16 [size =\"31519744\"]\n  10 -> 17 [size =\"31519744\"]\n  11 [size=\"63848960\", alpha=\"0.07\", expect_size=\"25539584\"] \n  11 -> 12 [size =\"25539584\"]\n  11 -> 13 [size =\"25539584\"]\n  11 -> 14 [size =\"25539584\"]\n  11 -> 15 [size =\"25539584\"]\n  11 -> 16 [size =\"25539584\"]\n  11 -> 17 [size =\"25539584\"]\n  12 [size=\"111319040\", alpha=\"0.00\", expect_size=\"44527616\"] \n  12 -> 18 [size =\"44527616\"]\n  12 -> 19 [size =\"44527616\"]\n  12 -> 20 [size =\"44527616\"]\n  12 -> 21 [size =\"44527616\"]\n  12 -> 23 [size =\"44527616\"]\n  13 [size=\"56476160\", alpha=\"0.17\", expect_size=\"22590464\"] \n  13 -> 18 [size =\"22590464\"]\n  13 -> 20 [size =\"22590464\"]\n  13 -> 21 [size =\"22590464\"]\n  13 -> 23 [size =\"22590464\"]\n  13 -> 23 [size =\"22590464\"]\n  14 [size=\"86095360\", alpha=\"0.11\", expect_size=\"34438144\"] \n  14 -> 18 [size =\"34438144\"]\n  14 -> 20 [size =\"34438144\"]\n  14 -> 21 [size =\"34438144\"]\n  15 [size=\"47708160\", alpha=\"0.19\", expect_size=\"19083264\"] \n  15 -> 18 [size =\"19083264\"]\n  15 -> 20 [size =\"19083264\"]\n  16 [size=\"126963200\", alpha=\"0.14\", expect_size=\"50785280\"] \n  16 -> 18 [size =\"50785280\"]\n  16 -> 19 [size =\"50785280\"]\n  16 -> 20 [size =\"50785280\"]\n  17 [size=\"74045440\", alpha=\"0.11\", expect_size=\"29618176\"] \n  17 -> 18 [size =\"29618176\"]\n  17 -> 21 [size =\"29618176\"]\n  17 -> 22 [size =\"29618176\"]\n  17 -> 23 [size =\"29618176\"]\n  17 -> 24 [size =\"29618176\"]\n  18 [size=\"83233280\", alpha=\"0.03\", expect_size=\"33293312\"] \n  18 -> 25 [size =\"33293312\"]\n  18 -> 27 [size =\"33293312\"]\n  18 -> 29 [size =\"33293312\"]\n  19 [size=\"125268480\", alpha=\"0.19\", expect_size=\"50107392\"] \n  19 -> 25 [size =\"50107392\"]\n  19 -> 27 [size =\"50107392\"]\n  20 [size=\"119715840\", alpha=\"0.07\", expect_size=\"47886336\"] \n  20 -> 25 [size =\"47886336\"]\n  21 [size=\"74946560\", alpha=\"0.01\", expect_size=\"29978624\"] \n  21 -> 25 [size =\"29978624\"]\n  21 -> 26 [size =\"29978624\"]\n  22 [size=\"117511680\", alpha=\"0.19\", expect_size=\"47004672\"] \n  22 -> 27 [size =\"47004672\"]\n  22 -> 28 [size =\"47004672\"]\n  23 [size=\"120171520\", alpha=\"0.18\", expect_size=\"48068608\"] \n  23 -> 25 [size =\"48068608\"]\n  23 -> 26 [size =\"48068608\"]\n  23 -> 28 [size =\"48068608\"]\n  23 -> 30 [size =\"48068608\"]\n  24 [size=\"105169920\", alpha=\"0.15\", expect_size=\"42067968\"] \n  24 -> 25 [size =\"42067968\"]\n  24 -> 26 [size =\"42067968\"]\n  25 [size=\"52275200\", alpha=\"0.11\", expect_size=\"20910080\"] \n  25 -> 31 [size =\"20910080\"]\n  25 -> 32 [size =\"20910080\"]\n  25 -> 36 [size =\"20910080\"]\n  26 [size=\"44981760\", alpha=\"0.15\", expect_size=\"17992704\"] \n  26 -> 31 [size =\"17992704\"]\n  26 -> 32 [size =\"17992704\"]\n  26 -> 34 [size =\"17992704\"]\n  26 -> 36 [size =\"17992704\"]\n  26 -> 37 [size =\"17992704\"]\n  27 [size=\"126727680\", alpha=\"0.13\", expect_size=\"50691072\"] \n  27 -> 31 [size =\"50691072\"]\n  27 -> 32 [size =\"50691072\"]\n  27 -> 33 [size =\"50691072\"]\n  27 -> 36 [size =\"50691072\"]\n  28 [size=\"72560640\", alpha=\"0.05\", expect_size=\"29024256\"] \n  28 -> 32 [size =\"29024256\"]\n  28 -> 32 [size =\"29024256\"]\n  28 -> 36 [size =\"29024256\"]\n  28 -> 36 [size =\"29024256\"]\n  28 -> 37 [size =\"29024256\"]\n  29 [size=\"88240640\", alpha=\"0.15\", expect_size=\"35296256\"] \n  29 -> 31 [size =\"35296256\"]\n  29 -> 34 [size =\"35296256\"]\n  29 -> 35 [size =\"35296256\"]\n  29 -> 37 [size =\"35296256\"]\n  29 -> 37 [size =\"35296256\"]\n  30 [size=\"80174080\", alpha=\"0.16\", expect_size=\"32069632\"] \n  30 -> 31 [size =\"32069632\"]\n  30 -> 32 [size =\"32069632\"]\n  30 -> 33 [size =\"32069632\"]\n  30 -> 34 [size =\"32069632\"]\n  30 -> 35 [size =\"32069632\"]\n  30 -> 36 [size =\"32069632\"]\n  30 -> 37 [size =\"32069632\"]\n  31 [size=\"121177600\", alpha=\"0.06\", expect_size=\"48471040\"] \n  31 -> 39 [size =\"48471040\"]\n  32 [size=\"130009600\", alpha=\"0.12\", expect_size=\"52003840\"] \n  33 [size=\"122749440\", alpha=\"0.05\", expect_size=\"49099776\"] \n  34 [size=\"112135680\", alpha=\"0.11\", expect_size=\"44854272\"] \n  34 -> 38 [size =\"44854272\"]\n  34 -> 39 [size =\"44854272\"]\n  34 -> 40 [size =\"44854272\"]\n  35 [size=\"83450880\", alpha=\"0.03\", expect_size=\"33380352\"] \n  35 -> 39 [size =\"33380352\"]\n  35 -> 40 [size =\"33380352\"]\n  35 -> 40 [size =\"33380352\"]\n  36 [size=\"30976000\", alpha=\"0.14\", expect_size=\"12390400\"] \n  36 -> 39 [size =\"12390400\"]\n  36 -> 40 [size =\"12390400\"]\n  37 [size=\"117043200\", alpha=\"0.16\", expect_size=\"46817280\"] \n  37 -> 39 [size =\"46817280\"]\n  37 -> 40 [size =\"46817280\"]\n  38 [size=\"73881600\", alpha=\"0.09\", expect_size=\"29552640\"] \n  39 [size=\"106283520\", alpha=\"0.01\", expect_size=\"42513408\"] \n  40 [size=\"78461440\", alpha=\"0.12\", expect_size=\"31384576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121082880\", alpha=\"0.00\", expect_size=\"48433152\"] \n  1 -> 4 [size =\"48433152\"]\n  2 [size=\"85027840\", alpha=\"0.12\", expect_size=\"34011136\"] \n  2 -> 5 [size =\"34011136\"]\n  2 -> 6 [size =\"34011136\"]\n  3 [size=\"28910080\", alpha=\"0.10\", expect_size=\"11564032\"] \n  3 -> 5 [size =\"11564032\"]\n  4 [size=\"32885760\", alpha=\"0.16\", expect_size=\"13154304\"] \n  4 -> 8 [size =\"13154304\"]\n  5 [size=\"117455360\", alpha=\"0.15\", expect_size=\"46982144\"] \n  5 -> 7 [size =\"46982144\"]\n  6 [size=\"110635520\", alpha=\"0.10\", expect_size=\"44254208\"] \n  6 -> 7 [size =\"44254208\"]\n  6 -> 8 [size =\"44254208\"]\n  7 [size=\"120025600\", alpha=\"0.18\", expect_size=\"48010240\"] \n  7 -> 9 [size =\"48010240\"]\n  7 -> 10 [size =\"48010240\"]\n  7 -> 11 [size =\"48010240\"]\n  8 [size=\"57195520\", alpha=\"0.06\", expect_size=\"22878208\"] \n  8 -> 9 [size =\"22878208\"]\n  8 -> 11 [size =\"22878208\"]\n  9 [size=\"48468480\", alpha=\"0.16\", expect_size=\"19387392\"] \n  10 [size=\"124439040\", alpha=\"0.01\", expect_size=\"49775616\"] \n  10 -> 13 [size =\"49775616\"]\n  11 [size=\"79677440\", alpha=\"0.13\", expect_size=\"31870976\"] \n  11 -> 12 [size =\"31870976\"]\n  11 -> 13 [size =\"31870976\"]\n  12 [size=\"80340480\", alpha=\"0.03\", expect_size=\"32136192\"] \n  13 [size=\"31521280\", alpha=\"0.08\", expect_size=\"12608512\"] \n  13 -> 14 [size =\"12608512\"]\n  13 -> 15 [size =\"12608512\"]\n  14 [size=\"92904960\", alpha=\"0.03\", expect_size=\"37161984\"] \n  14 -> 16 [size =\"37161984\"]\n  14 -> 17 [size =\"37161984\"]\n  15 [size=\"66403840\", alpha=\"0.10\", expect_size=\"26561536\"] \n  15 -> 16 [size =\"26561536\"]\n  16 [size=\"39631360\", alpha=\"0.03\", expect_size=\"15852544\"] \n  16 -> 18 [size =\"15852544\"]\n  16 -> 19 [size =\"15852544\"]\n  17 [size=\"100149760\", alpha=\"0.18\", expect_size=\"40059904\"] \n  18 [size=\"89134080\", alpha=\"0.11\", expect_size=\"35653632\"] \n  18 -> 22 [size =\"35653632\"]\n  19 [size=\"127037440\", alpha=\"0.13\", expect_size=\"50814976\"] \n  19 -> 20 [size =\"50814976\"]\n  19 -> 21 [size =\"50814976\"]\n  20 [size=\"102492160\", alpha=\"0.08\", expect_size=\"40996864\"] \n  20 -> 23 [size =\"40996864\"]\n  20 -> 24 [size =\"40996864\"]\n  21 [size=\"110673920\", alpha=\"0.01\", expect_size=\"44269568\"] \n  22 [size=\"68738560\", alpha=\"0.06\", expect_size=\"27495424\"] \n  22 -> 23 [size =\"27495424\"]\n  22 -> 24 [size =\"27495424\"]\n  23 [size=\"86661120\", alpha=\"0.14\", expect_size=\"34664448\"] \n  23 -> 25 [size =\"34664448\"]\n  23 -> 26 [size =\"34664448\"]\n  24 [size=\"13675520\", alpha=\"0.05\", expect_size=\"5470208\"] \n  24 -> 25 [size =\"5470208\"]\n  24 -> 26 [size =\"5470208\"]\n  24 -> 27 [size =\"5470208\"]\n  25 [size=\"30077440\", alpha=\"0.13\", expect_size=\"12030976\"] \n  26 [size=\"87459840\", alpha=\"0.19\", expect_size=\"34983936\"] \n  27 [size=\"105233920\", alpha=\"0.02\", expect_size=\"42093568\"] \n  27 -> 28 [size =\"42093568\"]\n  27 -> 29 [size =\"42093568\"]\n  28 [size=\"91059200\", alpha=\"0.13\", expect_size=\"36423680\"] \n  29 [size=\"36610560\", alpha=\"0.10\", expect_size=\"14644224\"] \n  29 -> 30 [size =\"14644224\"]\n  29 -> 31 [size =\"14644224\"]\n  30 [size=\"115115520\", alpha=\"0.06\", expect_size=\"46046208\"] \n  30 -> 32 [size =\"46046208\"]\n  30 -> 33 [size =\"46046208\"]\n  31 [size=\"43581440\", alpha=\"0.13\", expect_size=\"17432576\"] \n  31 -> 33 [size =\"17432576\"]\n  31 -> 34 [size =\"17432576\"]\n  32 [size=\"47951360\", alpha=\"0.11\", expect_size=\"19180544\"] \n  32 -> 36 [size =\"19180544\"]\n  32 -> 37 [size =\"19180544\"]\n  33 [size=\"82183680\", alpha=\"0.13\", expect_size=\"32873472\"] \n  33 -> 35 [size =\"32873472\"]\n  34 [size=\"44119040\", alpha=\"0.08\", expect_size=\"17647616\"] \n  35 [size=\"71498240\", alpha=\"0.12\", expect_size=\"28599296\"] \n  35 -> 38 [size =\"28599296\"]\n  35 -> 39 [size =\"28599296\"]\n  36 [size=\"32747520\", alpha=\"0.01\", expect_size=\"13099008\"] \n  36 -> 38 [size =\"13099008\"]\n  36 -> 39 [size =\"13099008\"]\n  37 [size=\"25392640\", alpha=\"0.04\", expect_size=\"10157056\"] \n  38 [size=\"38387200\", alpha=\"0.01\", expect_size=\"15354880\"] \n  39 [size=\"115822080\", alpha=\"0.16\", expect_size=\"46328832\"] \n  39 -> 40 [size =\"46328832\"]\n  40 [size=\"57131520\", alpha=\"0.07\", expect_size=\"22852608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78213120\", alpha=\"0.06\", expect_size=\"39106560\"] \n  1 -> 2 [size =\"39106560\"]\n  2 [size=\"103335936\", alpha=\"0.07\", expect_size=\"51667968\"] \n  2 -> 3 [size =\"51667968\"]\n  3 [size=\"73912320\", alpha=\"0.16\", expect_size=\"36956160\"] \n  3 -> 4 [size =\"36956160\"]\n  4 [size=\"22142976\", alpha=\"0.11\", expect_size=\"11071488\"] \n  4 -> 5 [size =\"11071488\"]\n  5 [size=\"31928320\", alpha=\"0.08\", expect_size=\"15964160\"] \n  5 -> 6 [size =\"15964160\"]\n  6 [size=\"48332800\", alpha=\"0.19\", expect_size=\"24166400\"] \n  6 -> 7 [size =\"24166400\"]\n  7 [size=\"60692480\", alpha=\"0.19\", expect_size=\"30346240\"] \n  7 -> 8 [size =\"30346240\"]\n  8 [size=\"66150400\", alpha=\"0.14\", expect_size=\"33075200\"] \n  8 -> 9 [size =\"33075200\"]\n  9 [size=\"16642048\", alpha=\"0.18\", expect_size=\"8321024\"] \n  9 -> 10 [size =\"8321024\"]\n  10 [size=\"14409728\", alpha=\"0.13\", expect_size=\"7204864\"] \n  10 -> 11 [size =\"7204864\"]\n  11 [size=\"15351808\", alpha=\"0.07\", expect_size=\"7675904\"] \n  11 -> 12 [size =\"7675904\"]\n  12 [size=\"43112448\", alpha=\"0.05\", expect_size=\"21556224\"] \n  12 -> 13 [size =\"21556224\"]\n  13 [size=\"77905920\", alpha=\"0.13\", expect_size=\"38952960\"] \n  13 -> 14 [size =\"38952960\"]\n  14 [size=\"59119616\", alpha=\"0.07\", expect_size=\"29559808\"] \n  14 -> 15 [size =\"29559808\"]\n  15 [size=\"15839232\", alpha=\"0.11\", expect_size=\"7919616\"] \n  15 -> 16 [size =\"7919616\"]\n  16 [size=\"53680128\", alpha=\"0.04\", expect_size=\"26840064\"] \n  16 -> 17 [size =\"26840064\"]\n  17 [size=\"50694144\", alpha=\"0.06\", expect_size=\"25347072\"] \n  17 -> 18 [size =\"25347072\"]\n  18 [size=\"46641152\", alpha=\"0.11\", expect_size=\"23320576\"] \n  18 -> 19 [size =\"23320576\"]\n  19 [size=\"19234816\", alpha=\"0.17\", expect_size=\"9617408\"] \n  19 -> 20 [size =\"9617408\"]\n  20 [size=\"104603648\", alpha=\"0.05\", expect_size=\"52301824\"] \n  20 -> 21 [size =\"52301824\"]\n  21 [size=\"71659520\", alpha=\"0.08\", expect_size=\"35829760\"] \n  21 -> 22 [size =\"35829760\"]\n  22 [size=\"103268352\", alpha=\"0.10\", expect_size=\"51634176\"] \n  22 -> 23 [size =\"51634176\"]\n  23 [size=\"33255424\", alpha=\"0.06\", expect_size=\"16627712\"] \n  23 -> 24 [size =\"16627712\"]\n  24 [size=\"95084544\", alpha=\"0.05\", expect_size=\"47542272\"] \n  24 -> 25 [size =\"47542272\"]\n  25 [size=\"35627008\", alpha=\"0.07\", expect_size=\"17813504\"] \n  25 -> 26 [size =\"17813504\"]\n  26 [size=\"88756224\", alpha=\"0.18\", expect_size=\"44378112\"] \n  26 -> 27 [size =\"44378112\"]\n  27 [size=\"15052800\", alpha=\"0.20\", expect_size=\"7526400\"] \n  27 -> 28 [size =\"7526400\"]\n  28 [size=\"44939264\", alpha=\"0.13\", expect_size=\"22469632\"] \n  28 -> 29 [size =\"22469632\"]\n  29 [size=\"98449408\", alpha=\"0.08\", expect_size=\"49224704\"] \n  29 -> 30 [size =\"49224704\"]\n  30 [size=\"83931136\", alpha=\"0.03\", expect_size=\"41965568\"] \n  30 -> 31 [size =\"41965568\"]\n  31 [size=\"14551040\", alpha=\"0.20\", expect_size=\"7275520\"] \n  31 -> 32 [size =\"7275520\"]\n  32 [size=\"52410368\", alpha=\"0.03\", expect_size=\"26205184\"] \n  32 -> 33 [size =\"26205184\"]\n  33 [size=\"101613568\", alpha=\"0.01\", expect_size=\"50806784\"] \n  33 -> 34 [size =\"50806784\"]\n  34 [size=\"36847616\", alpha=\"0.09\", expect_size=\"18423808\"] \n  34 -> 35 [size =\"18423808\"]\n  35 [size=\"58511360\", alpha=\"0.18\", expect_size=\"29255680\"] \n  35 -> 36 [size =\"29255680\"]\n  36 [size=\"93681664\", alpha=\"0.16\", expect_size=\"46840832\"] \n  36 -> 37 [size =\"46840832\"]\n  37 [size=\"85829632\", alpha=\"0.03\", expect_size=\"42914816\"] \n  37 -> 38 [size =\"42914816\"]\n  38 [size=\"85168128\", alpha=\"0.18\", expect_size=\"42584064\"] \n  38 -> 39 [size =\"42584064\"]\n  39 [size=\"52987904\", alpha=\"0.14\", expect_size=\"26493952\"] \n  39 -> 40 [size =\"26493952\"]\n  40 [size=\"89819136\", alpha=\"0.10\", expect_size=\"44909568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122439680\", alpha=\"0.10\", expect_size=\"36731904\"] \n  1 -> 2 [size =\"36731904\"]\n  2 [size=\"54944427\", alpha=\"0.12\", expect_size=\"16483328\"] \n  2 -> 3 [size =\"16483328\"]\n  3 [size=\"150876160\", alpha=\"0.11\", expect_size=\"45262848\"] \n  3 -> 4 [size =\"45262848\"]\n  4 [size=\"125835947\", alpha=\"0.19\", expect_size=\"37750784\"] \n  4 -> 5 [size =\"37750784\"]\n  5 [size=\"81124693\", alpha=\"0.01\", expect_size=\"24337408\"] \n  5 -> 6 [size =\"24337408\"]\n  6 [size=\"24098133\", alpha=\"0.01\", expect_size=\"7229440\"] \n  6 -> 7 [size =\"7229440\"]\n  7 [size=\"107048960\", alpha=\"0.04\", expect_size=\"32114688\"] \n  7 -> 8 [size =\"32114688\"]\n  8 [size=\"153698987\", alpha=\"0.18\", expect_size=\"46109696\"] \n  8 -> 9 [size =\"46109696\"]\n  9 [size=\"125552640\", alpha=\"0.19\", expect_size=\"37665792\"] \n  9 -> 10 [size =\"37665792\"]\n  10 [size=\"88702293\", alpha=\"0.02\", expect_size=\"26610688\"] \n  10 -> 11 [size =\"26610688\"]\n  11 [size=\"75021653\", alpha=\"0.05\", expect_size=\"22506496\"] \n  11 -> 12 [size =\"22506496\"]\n  12 [size=\"157501440\", alpha=\"0.05\", expect_size=\"47250432\"] \n  12 -> 13 [size =\"47250432\"]\n  13 [size=\"92453547\", alpha=\"0.12\", expect_size=\"27736064\"] \n  13 -> 14 [size =\"27736064\"]\n  14 [size=\"22091093\", alpha=\"0.01\", expect_size=\"6627328\"] \n  14 -> 15 [size =\"6627328\"]\n  15 [size=\"170673493\", alpha=\"0.09\", expect_size=\"51202048\"] \n  15 -> 16 [size =\"51202048\"]\n  16 [size=\"22026240\", alpha=\"0.05\", expect_size=\"6607872\"] \n  16 -> 17 [size =\"6607872\"]\n  17 [size=\"30245547\", alpha=\"0.04\", expect_size=\"9073664\"] \n  17 -> 18 [size =\"9073664\"]\n  18 [size=\"58777600\", alpha=\"0.14\", expect_size=\"17633280\"] \n  18 -> 19 [size =\"17633280\"]\n  19 [size=\"43571200\", alpha=\"0.16\", expect_size=\"13071360\"] \n  19 -> 20 [size =\"13071360\"]\n  20 [size=\"33979733\", alpha=\"0.06\", expect_size=\"10193920\"] \n  20 -> 21 [size =\"10193920\"]\n  21 [size=\"52838400\", alpha=\"0.09\", expect_size=\"15851520\"] \n  21 -> 22 [size =\"15851520\"]\n  22 [size=\"94030507\", alpha=\"0.18\", expect_size=\"28209152\"] \n  22 -> 23 [size =\"28209152\"]\n  23 [size=\"133625173\", alpha=\"0.03\", expect_size=\"40087552\"] \n  23 -> 24 [size =\"40087552\"]\n  24 [size=\"68300800\", alpha=\"0.02\", expect_size=\"20490240\"] \n  24 -> 25 [size =\"20490240\"]\n  25 [size=\"78660267\", alpha=\"0.09\", expect_size=\"23598080\"] \n  25 -> 26 [size =\"23598080\"]\n  26 [size=\"147677867\", alpha=\"0.17\", expect_size=\"44303360\"] \n  26 -> 27 [size =\"44303360\"]\n  27 [size=\"28511573\", alpha=\"0.16\", expect_size=\"8553472\"] \n  27 -> 28 [size =\"8553472\"]\n  28 [size=\"57258667\", alpha=\"0.13\", expect_size=\"17177600\"] \n  28 -> 29 [size =\"17177600\"]\n  29 [size=\"165655893\", alpha=\"0.03\", expect_size=\"49696768\"] \n  29 -> 30 [size =\"49696768\"]\n  30 [size=\"130932053\", alpha=\"0.03\", expect_size=\"39279616\"] \n  30 -> 31 [size =\"39279616\"]\n  31 [size=\"18841600\", alpha=\"0.10\", expect_size=\"5652480\"] \n  31 -> 32 [size =\"5652480\"]\n  32 [size=\"91637760\", alpha=\"0.14\", expect_size=\"27491328\"] \n  32 -> 33 [size =\"27491328\"]\n  33 [size=\"72219307\", alpha=\"0.08\", expect_size=\"21665792\"] \n  33 -> 34 [size =\"21665792\"]\n  34 [size=\"93989547\", alpha=\"0.03\", expect_size=\"28196864\"] \n  34 -> 35 [size =\"28196864\"]\n  35 [size=\"108018347\", alpha=\"0.17\", expect_size=\"32405504\"] \n  35 -> 36 [size =\"32405504\"]\n  36 [size=\"20674560\", alpha=\"0.12\", expect_size=\"6202368\"] \n  36 -> 37 [size =\"6202368\"]\n  37 [size=\"153152853\", alpha=\"0.08\", expect_size=\"45945856\"] \n  37 -> 38 [size =\"45945856\"]\n  38 [size=\"123163307\", alpha=\"0.10\", expect_size=\"36948992\"] \n  38 -> 39 [size =\"36948992\"]\n  39 [size=\"66935467\", alpha=\"0.15\", expect_size=\"20080640\"] \n  39 -> 40 [size =\"20080640\"]\n  40 [size=\"92545707\", alpha=\"0.02\", expect_size=\"27763712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80117760\", alpha=\"0.05\", expect_size=\"40058880\"] \n  1 -> 2 [size =\"40058880\"]\n  2 [size=\"104597504\", alpha=\"0.06\", expect_size=\"52298752\"] \n  2 -> 3 [size =\"52298752\"]\n  3 [size=\"54640640\", alpha=\"0.01\", expect_size=\"27320320\"] \n  3 -> 4 [size =\"27320320\"]\n  4 [size=\"92311552\", alpha=\"0.02\", expect_size=\"46155776\"] \n  4 -> 5 [size =\"46155776\"]\n  5 [size=\"54884352\", alpha=\"0.16\", expect_size=\"27442176\"] \n  5 -> 6 [size =\"27442176\"]\n  6 [size=\"35713024\", alpha=\"0.18\", expect_size=\"17856512\"] \n  6 -> 7 [size =\"17856512\"]\n  7 [size=\"90386432\", alpha=\"0.19\", expect_size=\"45193216\"] \n  7 -> 8 [size =\"45193216\"]\n  8 [size=\"53016576\", alpha=\"0.16\", expect_size=\"26508288\"] \n  8 -> 9 [size =\"26508288\"]\n  9 [size=\"55760896\", alpha=\"0.06\", expect_size=\"27880448\"] \n  9 -> 10 [size =\"27880448\"]\n  10 [size=\"67801088\", alpha=\"0.05\", expect_size=\"33900544\"] \n  10 -> 11 [size =\"33900544\"]\n  11 [size=\"84897792\", alpha=\"0.05\", expect_size=\"42448896\"] \n  11 -> 12 [size =\"42448896\"]\n  12 [size=\"15648768\", alpha=\"0.14\", expect_size=\"7824384\"] \n  12 -> 13 [size =\"7824384\"]\n  13 [size=\"42903552\", alpha=\"0.00\", expect_size=\"21451776\"] \n  13 -> 14 [size =\"21451776\"]\n  14 [size=\"45811712\", alpha=\"0.19\", expect_size=\"22905856\"] \n  14 -> 15 [size =\"22905856\"]\n  15 [size=\"57106432\", alpha=\"0.17\", expect_size=\"28553216\"] \n  15 -> 16 [size =\"28553216\"]\n  16 [size=\"40040448\", alpha=\"0.12\", expect_size=\"20020224\"] \n  16 -> 17 [size =\"20020224\"]\n  17 [size=\"32194560\", alpha=\"0.04\", expect_size=\"16097280\"] \n  17 -> 18 [size =\"16097280\"]\n  18 [size=\"27736064\", alpha=\"0.04\", expect_size=\"13868032\"] \n  18 -> 19 [size =\"13868032\"]\n  19 [size=\"104521728\", alpha=\"0.11\", expect_size=\"52260864\"] \n  19 -> 20 [size =\"52260864\"]\n  20 [size=\"36751360\", alpha=\"0.13\", expect_size=\"18375680\"] \n  20 -> 21 [size =\"18375680\"]\n  21 [size=\"62230528\", alpha=\"0.09\", expect_size=\"31115264\"] \n  21 -> 22 [size =\"31115264\"]\n  22 [size=\"84418560\", alpha=\"0.05\", expect_size=\"42209280\"] \n  22 -> 23 [size =\"42209280\"]\n  23 [size=\"54999040\", alpha=\"0.11\", expect_size=\"27499520\"] \n  23 -> 24 [size =\"27499520\"]\n  24 [size=\"56033280\", alpha=\"0.14\", expect_size=\"28016640\"] \n  24 -> 25 [size =\"28016640\"]\n  25 [size=\"50880512\", alpha=\"0.06\", expect_size=\"25440256\"] \n  25 -> 26 [size =\"25440256\"]\n  26 [size=\"37046272\", alpha=\"0.04\", expect_size=\"18523136\"] \n  26 -> 27 [size =\"18523136\"]\n  27 [size=\"93480960\", alpha=\"0.19\", expect_size=\"46740480\"] \n  27 -> 28 [size =\"46740480\"]\n  28 [size=\"19730432\", alpha=\"0.03\", expect_size=\"9865216\"] \n  28 -> 29 [size =\"9865216\"]\n  29 [size=\"39686144\", alpha=\"0.16\", expect_size=\"19843072\"] \n  29 -> 30 [size =\"19843072\"]\n  30 [size=\"91168768\", alpha=\"0.02\", expect_size=\"45584384\"] \n  30 -> 31 [size =\"45584384\"]\n  31 [size=\"55986176\", alpha=\"0.03\", expect_size=\"27993088\"] \n  31 -> 32 [size =\"27993088\"]\n  32 [size=\"98142208\", alpha=\"0.05\", expect_size=\"49071104\"] \n  32 -> 33 [size =\"49071104\"]\n  33 [size=\"28635136\", alpha=\"0.14\", expect_size=\"14317568\"] \n  33 -> 34 [size =\"14317568\"]\n  34 [size=\"80361472\", alpha=\"0.11\", expect_size=\"40180736\"] \n  34 -> 35 [size =\"40180736\"]\n  35 [size=\"52035584\", alpha=\"0.18\", expect_size=\"26017792\"] \n  35 -> 36 [size =\"26017792\"]\n  36 [size=\"82425856\", alpha=\"0.10\", expect_size=\"41212928\"] \n  36 -> 37 [size =\"41212928\"]\n  37 [size=\"102391808\", alpha=\"0.08\", expect_size=\"51195904\"] \n  37 -> 38 [size =\"51195904\"]\n  38 [size=\"97462272\", alpha=\"0.09\", expect_size=\"48731136\"] \n  38 -> 39 [size =\"48731136\"]\n  39 [size=\"15796224\", alpha=\"0.10\", expect_size=\"7898112\"] \n  39 -> 40 [size =\"7898112\"]\n  40 [size=\"91412480\", alpha=\"0.17\", expect_size=\"45706240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84799488\", alpha=\"0.03\", expect_size=\"42399744\"] \n  1 -> 5 [size =\"42399744\"]\n  2 [size=\"84828160\", alpha=\"0.07\", expect_size=\"42414080\"] \n  2 -> 4 [size =\"42414080\"]\n  2 -> 6 [size =\"42414080\"]\n  3 [size=\"84633600\", alpha=\"0.06\", expect_size=\"42316800\"] \n  3 -> 4 [size =\"42316800\"]\n  3 -> 6 [size =\"42316800\"]\n  4 [size=\"33601536\", alpha=\"0.18\", expect_size=\"16800768\"] \n  5 [size=\"53704704\", alpha=\"0.03\", expect_size=\"26852352\"] \n  5 -> 8 [size =\"26852352\"]\n  6 [size=\"39647232\", alpha=\"0.18\", expect_size=\"19823616\"] \n  6 -> 7 [size =\"19823616\"]\n  6 -> 8 [size =\"19823616\"]\n  6 -> 9 [size =\"19823616\"]\n  7 [size=\"35452928\", alpha=\"0.18\", expect_size=\"17726464\"] \n  7 -> 10 [size =\"17726464\"]\n  7 -> 12 [size =\"17726464\"]\n  8 [size=\"79589376\", alpha=\"0.03\", expect_size=\"39794688\"] \n  8 -> 10 [size =\"39794688\"]\n  8 -> 12 [size =\"39794688\"]\n  9 [size=\"76359680\", alpha=\"0.01\", expect_size=\"38179840\"] \n  9 -> 10 [size =\"38179840\"]\n  9 -> 11 [size =\"38179840\"]\n  9 -> 12 [size =\"38179840\"]\n  10 [size=\"104777728\", alpha=\"0.05\", expect_size=\"52388864\"] \n  10 -> 13 [size =\"52388864\"]\n  10 -> 14 [size =\"52388864\"]\n  10 -> 15 [size =\"52388864\"]\n  11 [size=\"44652544\", alpha=\"0.01\", expect_size=\"22326272\"] \n  12 [size=\"58118144\", alpha=\"0.08\", expect_size=\"29059072\"] \n  12 -> 13 [size =\"29059072\"]\n  12 -> 14 [size =\"29059072\"]\n  12 -> 15 [size =\"29059072\"]\n  13 [size=\"88909824\", alpha=\"0.04\", expect_size=\"44454912\"] \n  13 -> 16 [size =\"44454912\"]\n  14 [size=\"23734272\", alpha=\"0.01\", expect_size=\"11867136\"] \n  14 -> 17 [size =\"11867136\"]\n  15 [size=\"12961792\", alpha=\"0.05\", expect_size=\"6480896\"] \n  15 -> 16 [size =\"6480896\"]\n  16 [size=\"26210304\", alpha=\"0.07\", expect_size=\"13105152\"] \n  16 -> 18 [size =\"13105152\"]\n  16 -> 19 [size =\"13105152\"]\n  16 -> 20 [size =\"13105152\"]\n  17 [size=\"18788352\", alpha=\"0.03\", expect_size=\"9394176\"] \n  17 -> 18 [size =\"9394176\"]\n  17 -> 19 [size =\"9394176\"]\n  18 [size=\"11079680\", alpha=\"0.13\", expect_size=\"5539840\"] \n  19 [size=\"23601152\", alpha=\"0.14\", expect_size=\"11800576\"] \n  19 -> 21 [size =\"11800576\"]\n  19 -> 22 [size =\"11800576\"]\n  20 [size=\"29007872\", alpha=\"0.11\", expect_size=\"14503936\"] \n  20 -> 21 [size =\"14503936\"]\n  20 -> 22 [size =\"14503936\"]\n  21 [size=\"54644736\", alpha=\"0.04\", expect_size=\"27322368\"] \n  21 -> 24 [size =\"27322368\"]\n  21 -> 25 [size =\"27322368\"]\n  22 [size=\"60729344\", alpha=\"0.12\", expect_size=\"30364672\"] \n  22 -> 23 [size =\"30364672\"]\n  22 -> 25 [size =\"30364672\"]\n  23 [size=\"99235840\", alpha=\"0.16\", expect_size=\"49617920\"] \n  23 -> 26 [size =\"49617920\"]\n  24 [size=\"21905408\", alpha=\"0.05\", expect_size=\"10952704\"] \n  24 -> 27 [size =\"10952704\"]\n  24 -> 28 [size =\"10952704\"]\n  25 [size=\"25765888\", alpha=\"0.04\", expect_size=\"12882944\"] \n  25 -> 27 [size =\"12882944\"]\n  25 -> 28 [size =\"12882944\"]\n  26 [size=\"50311168\", alpha=\"0.08\", expect_size=\"25155584\"] \n  27 [size=\"84064256\", alpha=\"0.18\", expect_size=\"42032128\"] \n  27 -> 29 [size =\"42032128\"]\n  28 [size=\"98297856\", alpha=\"0.02\", expect_size=\"49148928\"] \n  28 -> 30 [size =\"49148928\"]\n  28 -> 31 [size =\"49148928\"]\n  29 [size=\"66238464\", alpha=\"0.00\", expect_size=\"33119232\"] \n  29 -> 33 [size =\"33119232\"]\n  30 [size=\"39421952\", alpha=\"0.18\", expect_size=\"19710976\"] \n  30 -> 33 [size =\"19710976\"]\n  31 [size=\"92383232\", alpha=\"0.04\", expect_size=\"46191616\"] \n  31 -> 32 [size =\"46191616\"]\n  31 -> 33 [size =\"46191616\"]\n  32 [size=\"16322560\", alpha=\"0.20\", expect_size=\"8161280\"] \n  32 -> 34 [size =\"8161280\"]\n  33 [size=\"74326016\", alpha=\"0.12\", expect_size=\"37163008\"] \n  33 -> 34 [size =\"37163008\"]\n  33 -> 35 [size =\"37163008\"]\n  33 -> 36 [size =\"37163008\"]\n  34 [size=\"57427968\", alpha=\"0.07\", expect_size=\"28713984\"] \n  34 -> 37 [size =\"28713984\"]\n  34 -> 38 [size =\"28713984\"]\n  35 [size=\"83118080\", alpha=\"0.02\", expect_size=\"41559040\"] \n  36 [size=\"100243456\", alpha=\"0.01\", expect_size=\"50121728\"] \n  36 -> 37 [size =\"50121728\"]\n  36 -> 38 [size =\"50121728\"]\n  37 [size=\"43595776\", alpha=\"0.02\", expect_size=\"21797888\"] \n  38 [size=\"32514048\", alpha=\"0.03\", expect_size=\"16257024\"] \n  38 -> 39 [size =\"16257024\"]\n  38 -> 40 [size =\"16257024\"]\n  39 [size=\"41730048\", alpha=\"0.06\", expect_size=\"20865024\"] \n  40 [size=\"42747904\", alpha=\"0.14\", expect_size=\"21373952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102054400\", alpha=\"0.11\", expect_size=\"40821760\"] \n  1 -> 2 [size =\"40821760\"]\n  2 [size=\"52451840\", alpha=\"0.12\", expect_size=\"20980736\"] \n  2 -> 3 [size =\"20980736\"]\n  3 [size=\"100910080\", alpha=\"0.18\", expect_size=\"40364032\"] \n  3 -> 4 [size =\"40364032\"]\n  4 [size=\"78563840\", alpha=\"0.13\", expect_size=\"31425536\"] \n  4 -> 5 [size =\"31425536\"]\n  5 [size=\"48076800\", alpha=\"0.12\", expect_size=\"19230720\"] \n  5 -> 6 [size =\"19230720\"]\n  6 [size=\"23444480\", alpha=\"0.13\", expect_size=\"9377792\"] \n  6 -> 7 [size =\"9377792\"]\n  7 [size=\"83824640\", alpha=\"0.07\", expect_size=\"33529856\"] \n  7 -> 8 [size =\"33529856\"]\n  8 [size=\"129228800\", alpha=\"0.04\", expect_size=\"51691520\"] \n  8 -> 9 [size =\"51691520\"]\n  9 [size=\"61250560\", alpha=\"0.01\", expect_size=\"24500224\"] \n  9 -> 10 [size =\"24500224\"]\n  10 [size=\"117127680\", alpha=\"0.10\", expect_size=\"46851072\"] \n  10 -> 11 [size =\"46851072\"]\n  11 [size=\"75796480\", alpha=\"0.19\", expect_size=\"30318592\"] \n  11 -> 12 [size =\"30318592\"]\n  12 [size=\"25269760\", alpha=\"0.11\", expect_size=\"10107904\"] \n  12 -> 13 [size =\"10107904\"]\n  13 [size=\"95201280\", alpha=\"0.17\", expect_size=\"38080512\"] \n  13 -> 14 [size =\"38080512\"]\n  14 [size=\"81195520\", alpha=\"0.12\", expect_size=\"32478208\"] \n  14 -> 15 [size =\"32478208\"]\n  15 [size=\"38220800\", alpha=\"0.06\", expect_size=\"15288320\"] \n  15 -> 16 [size =\"15288320\"]\n  16 [size=\"109214720\", alpha=\"0.16\", expect_size=\"43685888\"] \n  16 -> 17 [size =\"43685888\"]\n  17 [size=\"67650560\", alpha=\"0.18\", expect_size=\"27060224\"] \n  17 -> 18 [size =\"27060224\"]\n  18 [size=\"108341760\", alpha=\"0.06\", expect_size=\"43336704\"] \n  18 -> 19 [size =\"43336704\"]\n  19 [size=\"13911040\", alpha=\"0.04\", expect_size=\"5564416\"] \n  19 -> 20 [size =\"5564416\"]\n  20 [size=\"18257920\", alpha=\"0.03\", expect_size=\"7303168\"] \n  20 -> 21 [size =\"7303168\"]\n  21 [size=\"76439040\", alpha=\"0.16\", expect_size=\"30575616\"] \n  21 -> 22 [size =\"30575616\"]\n  22 [size=\"71316480\", alpha=\"0.17\", expect_size=\"28526592\"] \n  22 -> 23 [size =\"28526592\"]\n  23 [size=\"15283200\", alpha=\"0.13\", expect_size=\"6113280\"] \n  23 -> 24 [size =\"6113280\"]\n  24 [size=\"114713600\", alpha=\"0.19\", expect_size=\"45885440\"] \n  24 -> 25 [size =\"45885440\"]\n  25 [size=\"69483520\", alpha=\"0.12\", expect_size=\"27793408\"] \n  25 -> 26 [size =\"27793408\"]\n  26 [size=\"104232960\", alpha=\"0.06\", expect_size=\"41693184\"] \n  26 -> 27 [size =\"41693184\"]\n  27 [size=\"80455680\", alpha=\"0.12\", expect_size=\"32182272\"] \n  27 -> 28 [size =\"32182272\"]\n  28 [size=\"68776960\", alpha=\"0.18\", expect_size=\"27510784\"] \n  28 -> 29 [size =\"27510784\"]\n  29 [size=\"106961920\", alpha=\"0.12\", expect_size=\"42784768\"] \n  29 -> 30 [size =\"42784768\"]\n  30 [size=\"128862720\", alpha=\"0.04\", expect_size=\"51545088\"] \n  30 -> 31 [size =\"51545088\"]\n  31 [size=\"25930240\", alpha=\"0.06\", expect_size=\"10372096\"] \n  31 -> 32 [size =\"10372096\"]\n  32 [size=\"123043840\", alpha=\"0.11\", expect_size=\"49217536\"] \n  32 -> 33 [size =\"49217536\"]\n  33 [size=\"105651200\", alpha=\"0.09\", expect_size=\"42260480\"] \n  33 -> 34 [size =\"42260480\"]\n  34 [size=\"61560320\", alpha=\"0.19\", expect_size=\"24624128\"] \n  34 -> 35 [size =\"24624128\"]\n  35 [size=\"56227840\", alpha=\"0.13\", expect_size=\"22491136\"] \n  35 -> 36 [size =\"22491136\"]\n  36 [size=\"124623360\", alpha=\"0.03\", expect_size=\"49849344\"] \n  36 -> 37 [size =\"49849344\"]\n  37 [size=\"41159680\", alpha=\"0.03\", expect_size=\"16463872\"] \n  37 -> 38 [size =\"16463872\"]\n  38 [size=\"112483840\", alpha=\"0.19\", expect_size=\"44993536\"] \n  38 -> 39 [size =\"44993536\"]\n  39 [size=\"100825600\", alpha=\"0.15\", expect_size=\"40330240\"] \n  39 -> 40 [size =\"40330240\"]\n  40 [size=\"54328320\", alpha=\"0.12\", expect_size=\"21731328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45939200\", alpha=\"0.00\", expect_size=\"18375680\"] \n  1 -> 6 [size =\"18375680\"]\n  1 -> 7 [size =\"18375680\"]\n  2 [size=\"99901440\", alpha=\"0.14\", expect_size=\"39960576\"] \n  2 -> 6 [size =\"39960576\"]\n  2 -> 8 [size =\"39960576\"]\n  2 -> 9 [size =\"39960576\"]\n  2 -> 10 [size =\"39960576\"]\n  3 [size=\"71214080\", alpha=\"0.02\", expect_size=\"28485632\"] \n  3 -> 7 [size =\"28485632\"]\n  3 -> 8 [size =\"28485632\"]\n  3 -> 10 [size =\"28485632\"]\n  4 [size=\"48878080\", alpha=\"0.15\", expect_size=\"19551232\"] \n  4 -> 7 [size =\"19551232\"]\n  4 -> 8 [size =\"19551232\"]\n  5 [size=\"58301440\", alpha=\"0.06\", expect_size=\"23320576\"] \n  5 -> 6 [size =\"23320576\"]\n  5 -> 8 [size =\"23320576\"]\n  6 [size=\"94461440\", alpha=\"0.05\", expect_size=\"37784576\"] \n  6 -> 11 [size =\"37784576\"]\n  6 -> 13 [size =\"37784576\"]\n  7 [size=\"124418560\", alpha=\"0.05\", expect_size=\"49767424\"] \n  7 -> 11 [size =\"49767424\"]\n  7 -> 13 [size =\"49767424\"]\n  8 [size=\"48442880\", alpha=\"0.14\", expect_size=\"19377152\"] \n  8 -> 11 [size =\"19377152\"]\n  8 -> 12 [size =\"19377152\"]\n  9 [size=\"104967680\", alpha=\"0.09\", expect_size=\"41987072\"] \n  9 -> 13 [size =\"41987072\"]\n  9 -> 14 [size =\"41987072\"]\n  9 -> 15 [size =\"41987072\"]\n  10 [size=\"27804160\", alpha=\"0.06\", expect_size=\"11121664\"] \n  10 -> 13 [size =\"11121664\"]\n  10 -> 14 [size =\"11121664\"]\n  11 [size=\"110750720\", alpha=\"0.13\", expect_size=\"44300288\"] \n  11 -> 16 [size =\"44300288\"]\n  11 -> 17 [size =\"44300288\"]\n  11 -> 18 [size =\"44300288\"]\n  11 -> 19 [size =\"44300288\"]\n  11 -> 20 [size =\"44300288\"]\n  12 [size=\"112988160\", alpha=\"0.10\", expect_size=\"45195264\"] \n  13 [size=\"77639680\", alpha=\"0.07\", expect_size=\"31055872\"] \n  13 -> 17 [size =\"31055872\"]\n  13 -> 18 [size =\"31055872\"]\n  13 -> 19 [size =\"31055872\"]\n  13 -> 20 [size =\"31055872\"]\n  13 -> 21 [size =\"31055872\"]\n  14 [size=\"89761280\", alpha=\"0.10\", expect_size=\"35904512\"] \n  14 -> 19 [size =\"35904512\"]\n  14 -> 20 [size =\"35904512\"]\n  15 [size=\"62356480\", alpha=\"0.07\", expect_size=\"24942592\"] \n  15 -> 16 [size =\"24942592\"]\n  15 -> 17 [size =\"24942592\"]\n  15 -> 19 [size =\"24942592\"]\n  16 [size=\"97241600\", alpha=\"0.02\", expect_size=\"38896640\"] \n  16 -> 24 [size =\"38896640\"]\n  16 -> 26 [size =\"38896640\"]\n  17 [size=\"128788480\", alpha=\"0.09\", expect_size=\"51515392\"] \n  17 -> 23 [size =\"51515392\"]\n  17 -> 24 [size =\"51515392\"]\n  18 [size=\"41853440\", alpha=\"0.01\", expect_size=\"16741376\"] \n  18 -> 22 [size =\"16741376\"]\n  18 -> 26 [size =\"16741376\"]\n  19 [size=\"124055040\", alpha=\"0.15\", expect_size=\"49622016\"] \n  19 -> 22 [size =\"49622016\"]\n  20 [size=\"59253760\", alpha=\"0.19\", expect_size=\"23701504\"] \n  20 -> 22 [size =\"23701504\"]\n  20 -> 25 [size =\"23701504\"]\n  21 [size=\"95418880\", alpha=\"0.09\", expect_size=\"38167552\"] \n  21 -> 22 [size =\"38167552\"]\n  21 -> 24 [size =\"38167552\"]\n  21 -> 25 [size =\"38167552\"]\n  21 -> 26 [size =\"38167552\"]\n  22 [size=\"53184000\", alpha=\"0.14\", expect_size=\"21273600\"] \n  22 -> 28 [size =\"21273600\"]\n  22 -> 29 [size =\"21273600\"]\n  22 -> 29 [size =\"21273600\"]\n  22 -> 31 [size =\"21273600\"]\n  23 [size=\"113832960\", alpha=\"0.08\", expect_size=\"45533184\"] \n  24 [size=\"35041280\", alpha=\"0.08\", expect_size=\"14016512\"] \n  24 -> 28 [size =\"14016512\"]\n  24 -> 31 [size =\"14016512\"]\n  25 [size=\"95723520\", alpha=\"0.16\", expect_size=\"38289408\"] \n  25 -> 29 [size =\"38289408\"]\n  25 -> 30 [size =\"38289408\"]\n  25 -> 31 [size =\"38289408\"]\n  26 [size=\"18664960\", alpha=\"0.18\", expect_size=\"7465984\"] \n  26 -> 27 [size =\"7465984\"]\n  26 -> 28 [size =\"7465984\"]\n  26 -> 29 [size =\"7465984\"]\n  26 -> 30 [size =\"7465984\"]\n  27 [size=\"27609600\", alpha=\"0.19\", expect_size=\"11043840\"] \n  27 -> 32 [size =\"11043840\"]\n  27 -> 33 [size =\"11043840\"]\n  27 -> 34 [size =\"11043840\"]\n  27 -> 36 [size =\"11043840\"]\n  27 -> 37 [size =\"11043840\"]\n  28 [size=\"81047040\", alpha=\"0.05\", expect_size=\"32418816\"] \n  28 -> 32 [size =\"32418816\"]\n  28 -> 33 [size =\"32418816\"]\n  28 -> 34 [size =\"32418816\"]\n  28 -> 37 [size =\"32418816\"]\n  28 -> 37 [size =\"32418816\"]\n  29 [size=\"85655040\", alpha=\"0.08\", expect_size=\"34262016\"] \n  29 -> 33 [size =\"34262016\"]\n  29 -> 36 [size =\"34262016\"]\n  30 [size=\"57699840\", alpha=\"0.12\", expect_size=\"23079936\"] \n  30 -> 35 [size =\"23079936\"]\n  30 -> 36 [size =\"23079936\"]\n  31 [size=\"54310400\", alpha=\"0.14\", expect_size=\"21724160\"] \n  31 -> 35 [size =\"21724160\"]\n  31 -> 36 [size =\"21724160\"]\n  32 [size=\"108318720\", alpha=\"0.12\", expect_size=\"43327488\"] \n  32 -> 39 [size =\"43327488\"]\n  33 [size=\"70594560\", alpha=\"0.01\", expect_size=\"28237824\"] \n  33 -> 38 [size =\"28237824\"]\n  34 [size=\"117204480\", alpha=\"0.03\", expect_size=\"46881792\"] \n  34 -> 39 [size =\"46881792\"]\n  34 -> 40 [size =\"46881792\"]\n  35 [size=\"47997440\", alpha=\"0.14\", expect_size=\"19198976\"] \n  35 -> 40 [size =\"19198976\"]\n  35 -> 40 [size =\"19198976\"]\n  36 [size=\"26124800\", alpha=\"0.19\", expect_size=\"10449920\"] \n  37 [size=\"14986240\", alpha=\"0.03\", expect_size=\"5994496\"] \n  37 -> 40 [size =\"5994496\"]\n  38 [size=\"125888000\", alpha=\"0.12\", expect_size=\"50355200\"] \n  39 [size=\"40271360\", alpha=\"0.00\", expect_size=\"16108544\"] \n  40 [size=\"85934080\", alpha=\"0.16\", expect_size=\"34373632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26915840\", alpha=\"0.20\", expect_size=\"10766336\"] \n  1 -> 2 [size =\"10766336\"]\n  2 [size=\"48604160\", alpha=\"0.10\", expect_size=\"19441664\"] \n  2 -> 3 [size =\"19441664\"]\n  3 [size=\"18913280\", alpha=\"0.17\", expect_size=\"7565312\"] \n  3 -> 4 [size =\"7565312\"]\n  4 [size=\"28628480\", alpha=\"0.07\", expect_size=\"11451392\"] \n  4 -> 5 [size =\"11451392\"]\n  5 [size=\"82572800\", alpha=\"0.16\", expect_size=\"33029120\"] \n  5 -> 6 [size =\"33029120\"]\n  6 [size=\"48156160\", alpha=\"0.04\", expect_size=\"19262464\"] \n  6 -> 7 [size =\"19262464\"]\n  7 [size=\"23651840\", alpha=\"0.03\", expect_size=\"9460736\"] \n  7 -> 8 [size =\"9460736\"]\n  8 [size=\"64593920\", alpha=\"0.08\", expect_size=\"25837568\"] \n  8 -> 9 [size =\"25837568\"]\n  9 [size=\"16929280\", alpha=\"0.08\", expect_size=\"6771712\"] \n  9 -> 10 [size =\"6771712\"]\n  10 [size=\"20300800\", alpha=\"0.13\", expect_size=\"8120320\"] \n  10 -> 11 [size =\"8120320\"]\n  11 [size=\"129505280\", alpha=\"0.20\", expect_size=\"51802112\"] \n  11 -> 12 [size =\"51802112\"]\n  12 [size=\"128860160\", alpha=\"0.02\", expect_size=\"51544064\"] \n  12 -> 13 [size =\"51544064\"]\n  13 [size=\"67653120\", alpha=\"0.04\", expect_size=\"27061248\"] \n  13 -> 14 [size =\"27061248\"]\n  14 [size=\"47073280\", alpha=\"0.09\", expect_size=\"18829312\"] \n  14 -> 15 [size =\"18829312\"]\n  15 [size=\"90493440\", alpha=\"0.17\", expect_size=\"36197376\"] \n  15 -> 16 [size =\"36197376\"]\n  16 [size=\"68922880\", alpha=\"0.00\", expect_size=\"27569152\"] \n  16 -> 17 [size =\"27569152\"]\n  17 [size=\"92538880\", alpha=\"0.03\", expect_size=\"37015552\"] \n  17 -> 18 [size =\"37015552\"]\n  18 [size=\"110310400\", alpha=\"0.18\", expect_size=\"44124160\"] \n  18 -> 19 [size =\"44124160\"]\n  19 [size=\"40737280\", alpha=\"0.14\", expect_size=\"16294912\"] \n  19 -> 20 [size =\"16294912\"]\n  20 [size=\"86530560\", alpha=\"0.11\", expect_size=\"34612224\"] \n  20 -> 21 [size =\"34612224\"]\n  21 [size=\"46968320\", alpha=\"0.11\", expect_size=\"18787328\"] \n  21 -> 22 [size =\"18787328\"]\n  22 [size=\"45227520\", alpha=\"0.17\", expect_size=\"18091008\"] \n  22 -> 23 [size =\"18091008\"]\n  23 [size=\"59054080\", alpha=\"0.04\", expect_size=\"23621632\"] \n  23 -> 24 [size =\"23621632\"]\n  24 [size=\"85488640\", alpha=\"0.14\", expect_size=\"34195456\"] \n  24 -> 25 [size =\"34195456\"]\n  25 [size=\"18613760\", alpha=\"0.15\", expect_size=\"7445504\"] \n  25 -> 26 [size =\"7445504\"]\n  26 [size=\"119651840\", alpha=\"0.02\", expect_size=\"47860736\"] \n  26 -> 27 [size =\"47860736\"]\n  27 [size=\"122211840\", alpha=\"0.11\", expect_size=\"48884736\"] \n  27 -> 28 [size =\"48884736\"]\n  28 [size=\"22428160\", alpha=\"0.09\", expect_size=\"8971264\"] \n  28 -> 29 [size =\"8971264\"]\n  29 [size=\"129584640\", alpha=\"0.08\", expect_size=\"51833856\"] \n  29 -> 30 [size =\"51833856\"]\n  30 [size=\"92244480\", alpha=\"0.07\", expect_size=\"36897792\"] \n  30 -> 31 [size =\"36897792\"]\n  31 [size=\"40747520\", alpha=\"0.07\", expect_size=\"16299008\"] \n  31 -> 32 [size =\"16299008\"]\n  32 [size=\"106864640\", alpha=\"0.06\", expect_size=\"42745856\"] \n  32 -> 33 [size =\"42745856\"]\n  33 [size=\"90168320\", alpha=\"0.14\", expect_size=\"36067328\"] \n  33 -> 34 [size =\"36067328\"]\n  34 [size=\"114426880\", alpha=\"0.08\", expect_size=\"45770752\"] \n  34 -> 35 [size =\"45770752\"]\n  35 [size=\"77201920\", alpha=\"0.15\", expect_size=\"30880768\"] \n  35 -> 36 [size =\"30880768\"]\n  36 [size=\"47956480\", alpha=\"0.12\", expect_size=\"19182592\"] \n  36 -> 37 [size =\"19182592\"]\n  37 [size=\"61744640\", alpha=\"0.02\", expect_size=\"24697856\"] \n  37 -> 38 [size =\"24697856\"]\n  38 [size=\"129111040\", alpha=\"0.09\", expect_size=\"51644416\"] \n  38 -> 39 [size =\"51644416\"]\n  39 [size=\"65615360\", alpha=\"0.20\", expect_size=\"26246144\"] \n  39 -> 40 [size =\"26246144\"]\n  40 [size=\"111014400\", alpha=\"0.04\", expect_size=\"44405760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94603264\", alpha=\"0.14\", expect_size=\"47301632\"] \n  1 -> 6 [size =\"47301632\"]\n  1 -> 8 [size =\"47301632\"]\n  1 -> 10 [size =\"47301632\"]\n  1 -> 11 [size =\"47301632\"]\n  2 [size=\"16746496\", alpha=\"0.10\", expect_size=\"8373248\"] \n  2 -> 6 [size =\"8373248\"]\n  2 -> 7 [size =\"8373248\"]\n  2 -> 9 [size =\"8373248\"]\n  3 [size=\"49995776\", alpha=\"0.13\", expect_size=\"24997888\"] \n  3 -> 7 [size =\"24997888\"]\n  3 -> 8 [size =\"24997888\"]\n  3 -> 9 [size =\"24997888\"]\n  4 [size=\"89989120\", alpha=\"0.19\", expect_size=\"44994560\"] \n  4 -> 6 [size =\"44994560\"]\n  4 -> 7 [size =\"44994560\"]\n  4 -> 8 [size =\"44994560\"]\n  5 [size=\"51130368\", alpha=\"0.11\", expect_size=\"25565184\"] \n  5 -> 11 [size =\"25565184\"]\n  6 [size=\"69511168\", alpha=\"0.03\", expect_size=\"34755584\"] \n  6 -> 12 [size =\"34755584\"]\n  6 -> 17 [size =\"34755584\"]\n  7 [size=\"29964288\", alpha=\"0.14\", expect_size=\"14982144\"] \n  7 -> 16 [size =\"14982144\"]\n  8 [size=\"25470976\", alpha=\"0.12\", expect_size=\"12735488\"] \n  8 -> 12 [size =\"12735488\"]\n  8 -> 13 [size =\"12735488\"]\n  8 -> 15 [size =\"12735488\"]\n  8 -> 16 [size =\"12735488\"]\n  8 -> 17 [size =\"12735488\"]\n  8 -> 19 [size =\"12735488\"]\n  9 [size=\"60555264\", alpha=\"0.09\", expect_size=\"30277632\"] \n  9 -> 14 [size =\"30277632\"]\n  9 -> 17 [size =\"30277632\"]\n  10 [size=\"64284672\", alpha=\"0.06\", expect_size=\"32142336\"] \n  10 -> 15 [size =\"32142336\"]\n  10 -> 16 [size =\"32142336\"]\n  10 -> 19 [size =\"32142336\"]\n  11 [size=\"46002176\", alpha=\"0.16\", expect_size=\"23001088\"] \n  11 -> 12 [size =\"23001088\"]\n  11 -> 15 [size =\"23001088\"]\n  11 -> 16 [size =\"23001088\"]\n  11 -> 18 [size =\"23001088\"]\n  12 [size=\"15947776\", alpha=\"0.14\", expect_size=\"7973888\"] \n  12 -> 21 [size =\"7973888\"]\n  12 -> 22 [size =\"7973888\"]\n  13 [size=\"61843456\", alpha=\"0.04\", expect_size=\"30921728\"] \n  13 -> 21 [size =\"30921728\"]\n  14 [size=\"30435328\", alpha=\"0.01\", expect_size=\"15217664\"] \n  15 [size=\"27441152\", alpha=\"0.05\", expect_size=\"13720576\"] \n  15 -> 20 [size =\"13720576\"]\n  16 [size=\"80771072\", alpha=\"0.19\", expect_size=\"40385536\"] \n  17 [size=\"96491520\", alpha=\"0.15\", expect_size=\"48245760\"] \n  18 [size=\"66506752\", alpha=\"0.07\", expect_size=\"33253376\"] \n  18 -> 21 [size =\"33253376\"]\n  19 [size=\"26683392\", alpha=\"0.11\", expect_size=\"13341696\"] \n  19 -> 20 [size =\"13341696\"]\n  19 -> 21 [size =\"13341696\"]\n  20 [size=\"67465216\", alpha=\"0.17\", expect_size=\"33732608\"] \n  20 -> 25 [size =\"33732608\"]\n  21 [size=\"96395264\", alpha=\"0.01\", expect_size=\"48197632\"] \n  21 -> 23 [size =\"48197632\"]\n  21 -> 24 [size =\"48197632\"]\n  22 [size=\"78948352\", alpha=\"0.07\", expect_size=\"39474176\"] \n  22 -> 23 [size =\"39474176\"]\n  23 [size=\"51439616\", alpha=\"0.01\", expect_size=\"25719808\"] \n  23 -> 28 [size =\"25719808\"]\n  23 -> 31 [size =\"25719808\"]\n  23 -> 33 [size =\"25719808\"]\n  24 [size=\"68392960\", alpha=\"0.11\", expect_size=\"34196480\"] \n  24 -> 26 [size =\"34196480\"]\n  24 -> 27 [size =\"34196480\"]\n  24 -> 28 [size =\"34196480\"]\n  24 -> 29 [size =\"34196480\"]\n  24 -> 30 [size =\"34196480\"]\n  25 [size=\"73543680\", alpha=\"0.10\", expect_size=\"36771840\"] \n  25 -> 26 [size =\"36771840\"]\n  25 -> 27 [size =\"36771840\"]\n  25 -> 29 [size =\"36771840\"]\n  25 -> 30 [size =\"36771840\"]\n  25 -> 32 [size =\"36771840\"]\n  25 -> 33 [size =\"36771840\"]\n  26 [size=\"96638976\", alpha=\"0.02\", expect_size=\"48319488\"] \n  26 -> 34 [size =\"48319488\"]\n  26 -> 38 [size =\"48319488\"]\n  26 -> 40 [size =\"48319488\"]\n  27 [size=\"90974208\", alpha=\"0.18\", expect_size=\"45487104\"] \n  27 -> 36 [size =\"45487104\"]\n  27 -> 38 [size =\"45487104\"]\n  28 [size=\"67186688\", alpha=\"0.17\", expect_size=\"33593344\"] \n  28 -> 34 [size =\"33593344\"]\n  28 -> 36 [size =\"33593344\"]\n  28 -> 37 [size =\"33593344\"]\n  28 -> 39 [size =\"33593344\"]\n  29 [size=\"98617344\", alpha=\"0.07\", expect_size=\"49308672\"] \n  29 -> 35 [size =\"49308672\"]\n  30 [size=\"56664064\", alpha=\"0.08\", expect_size=\"28332032\"] \n  30 -> 38 [size =\"28332032\"]\n  31 [size=\"44083200\", alpha=\"0.16\", expect_size=\"22041600\"] \n  31 -> 35 [size =\"22041600\"]\n  31 -> 37 [size =\"22041600\"]\n  31 -> 38 [size =\"22041600\"]\n  32 [size=\"50620416\", alpha=\"0.06\", expect_size=\"25310208\"] \n  32 -> 35 [size =\"25310208\"]\n  32 -> 37 [size =\"25310208\"]\n  32 -> 38 [size =\"25310208\"]\n  32 -> 39 [size =\"25310208\"]\n  33 [size=\"82540544\", alpha=\"0.07\", expect_size=\"41270272\"] \n  33 -> 35 [size =\"41270272\"]\n  33 -> 39 [size =\"41270272\"]\n  33 -> 40 [size =\"41270272\"]\n  34 [size=\"84979712\", alpha=\"0.11\", expect_size=\"42489856\"] \n  35 [size=\"43069440\", alpha=\"0.20\", expect_size=\"21534720\"] \n  36 [size=\"91832320\", alpha=\"0.03\", expect_size=\"45916160\"] \n  37 [size=\"101545984\", alpha=\"0.05\", expect_size=\"50772992\"] \n  38 [size=\"91691008\", alpha=\"0.18\", expect_size=\"45845504\"] \n  39 [size=\"77254656\", alpha=\"0.15\", expect_size=\"38627328\"] \n  40 [size=\"13934592\", alpha=\"0.04\", expect_size=\"6967296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65710080\", alpha=\"0.08\", expect_size=\"32855040\"] \n  1 -> 3 [size =\"32855040\"]\n  1 -> 4 [size =\"32855040\"]\n  1 -> 5 [size =\"32855040\"]\n  2 [size=\"43819008\", alpha=\"0.07\", expect_size=\"21909504\"] \n  2 -> 3 [size =\"21909504\"]\n  2 -> 5 [size =\"21909504\"]\n  3 [size=\"26691584\", alpha=\"0.09\", expect_size=\"13345792\"] \n  3 -> 6 [size =\"13345792\"]\n  3 -> 7 [size =\"13345792\"]\n  3 -> 8 [size =\"13345792\"]\n  4 [size=\"22136832\", alpha=\"0.14\", expect_size=\"11068416\"] \n  4 -> 6 [size =\"11068416\"]\n  5 [size=\"17108992\", alpha=\"0.14\", expect_size=\"8554496\"] \n  5 -> 6 [size =\"8554496\"]\n  5 -> 7 [size =\"8554496\"]\n  5 -> 8 [size =\"8554496\"]\n  6 [size=\"39352320\", alpha=\"0.13\", expect_size=\"19676160\"] \n  6 -> 9 [size =\"19676160\"]\n  6 -> 10 [size =\"19676160\"]\n  7 [size=\"35377152\", alpha=\"0.12\", expect_size=\"17688576\"] \n  7 -> 10 [size =\"17688576\"]\n  8 [size=\"17823744\", alpha=\"0.02\", expect_size=\"8911872\"] \n  8 -> 10 [size =\"8911872\"]\n  9 [size=\"76038144\", alpha=\"0.03\", expect_size=\"38019072\"] \n  9 -> 11 [size =\"38019072\"]\n  9 -> 12 [size =\"38019072\"]\n  9 -> 13 [size =\"38019072\"]\n  10 [size=\"49016832\", alpha=\"0.14\", expect_size=\"24508416\"] \n  10 -> 11 [size =\"24508416\"]\n  10 -> 12 [size =\"24508416\"]\n  11 [size=\"91471872\", alpha=\"0.18\", expect_size=\"45735936\"] \n  11 -> 14 [size =\"45735936\"]\n  11 -> 15 [size =\"45735936\"]\n  11 -> 16 [size =\"45735936\"]\n  12 [size=\"34637824\", alpha=\"0.13\", expect_size=\"17318912\"] \n  12 -> 14 [size =\"17318912\"]\n  12 -> 15 [size =\"17318912\"]\n  12 -> 16 [size =\"17318912\"]\n  13 [size=\"65564672\", alpha=\"0.03\", expect_size=\"32782336\"] \n  13 -> 14 [size =\"32782336\"]\n  13 -> 15 [size =\"32782336\"]\n  14 [size=\"11638784\", alpha=\"0.06\", expect_size=\"5819392\"] \n  15 [size=\"79253504\", alpha=\"0.03\", expect_size=\"39626752\"] \n  15 -> 17 [size =\"39626752\"]\n  15 -> 18 [size =\"39626752\"]\n  16 [size=\"50876416\", alpha=\"0.02\", expect_size=\"25438208\"] \n  16 -> 19 [size =\"25438208\"]\n  17 [size=\"18774016\", alpha=\"0.04\", expect_size=\"9387008\"] \n  17 -> 20 [size =\"9387008\"]\n  17 -> 21 [size =\"9387008\"]\n  18 [size=\"76656640\", alpha=\"0.16\", expect_size=\"38328320\"] \n  18 -> 20 [size =\"38328320\"]\n  18 -> 21 [size =\"38328320\"]\n  19 [size=\"85231616\", alpha=\"0.06\", expect_size=\"42615808\"] \n  19 -> 21 [size =\"42615808\"]\n  20 [size=\"101437440\", alpha=\"0.11\", expect_size=\"50718720\"] \n  20 -> 22 [size =\"50718720\"]\n  20 -> 24 [size =\"50718720\"]\n  21 [size=\"72079360\", alpha=\"0.08\", expect_size=\"36039680\"] \n  21 -> 23 [size =\"36039680\"]\n  21 -> 24 [size =\"36039680\"]\n  22 [size=\"61599744\", alpha=\"0.12\", expect_size=\"30799872\"] \n  22 -> 26 [size =\"30799872\"]\n  22 -> 27 [size =\"30799872\"]\n  23 [size=\"27351040\", alpha=\"0.20\", expect_size=\"13675520\"] \n  23 -> 26 [size =\"13675520\"]\n  23 -> 27 [size =\"13675520\"]\n  24 [size=\"42567680\", alpha=\"0.10\", expect_size=\"21283840\"] \n  24 -> 25 [size =\"21283840\"]\n  24 -> 26 [size =\"21283840\"]\n  24 -> 27 [size =\"21283840\"]\n  25 [size=\"72642560\", alpha=\"0.01\", expect_size=\"36321280\"] \n  25 -> 28 [size =\"36321280\"]\n  25 -> 29 [size =\"36321280\"]\n  26 [size=\"87195648\", alpha=\"0.19\", expect_size=\"43597824\"] \n  26 -> 28 [size =\"43597824\"]\n  26 -> 29 [size =\"43597824\"]\n  27 [size=\"94504960\", alpha=\"0.02\", expect_size=\"47252480\"] \n  27 -> 28 [size =\"47252480\"]\n  27 -> 29 [size =\"47252480\"]\n  28 [size=\"17080320\", alpha=\"0.06\", expect_size=\"8540160\"] \n  28 -> 30 [size =\"8540160\"]\n  28 -> 31 [size =\"8540160\"]\n  28 -> 32 [size =\"8540160\"]\n  29 [size=\"93440000\", alpha=\"0.04\", expect_size=\"46720000\"] \n  29 -> 30 [size =\"46720000\"]\n  29 -> 31 [size =\"46720000\"]\n  29 -> 32 [size =\"46720000\"]\n  30 [size=\"26300416\", alpha=\"0.11\", expect_size=\"13150208\"] \n  30 -> 33 [size =\"13150208\"]\n  30 -> 34 [size =\"13150208\"]\n  30 -> 35 [size =\"13150208\"]\n  31 [size=\"78753792\", alpha=\"0.14\", expect_size=\"39376896\"] \n  31 -> 33 [size =\"39376896\"]\n  32 [size=\"22910976\", alpha=\"0.03\", expect_size=\"11455488\"] \n  32 -> 33 [size =\"11455488\"]\n  32 -> 35 [size =\"11455488\"]\n  33 [size=\"80850944\", alpha=\"0.03\", expect_size=\"40425472\"] \n  33 -> 36 [size =\"40425472\"]\n  33 -> 37 [size =\"40425472\"]\n  33 -> 38 [size =\"40425472\"]\n  34 [size=\"80037888\", alpha=\"0.04\", expect_size=\"40018944\"] \n  34 -> 36 [size =\"40018944\"]\n  34 -> 38 [size =\"40018944\"]\n  35 [size=\"32120832\", alpha=\"0.19\", expect_size=\"16060416\"] \n  35 -> 36 [size =\"16060416\"]\n  35 -> 37 [size =\"16060416\"]\n  35 -> 38 [size =\"16060416\"]\n  36 [size=\"38100992\", alpha=\"0.03\", expect_size=\"19050496\"] \n  36 -> 39 [size =\"19050496\"]\n  36 -> 40 [size =\"19050496\"]\n  37 [size=\"32471040\", alpha=\"0.08\", expect_size=\"16235520\"] \n  37 -> 40 [size =\"16235520\"]\n  38 [size=\"40124416\", alpha=\"0.08\", expect_size=\"20062208\"] \n  38 -> 39 [size =\"20062208\"]\n  38 -> 40 [size =\"20062208\"]\n  39 [size=\"68401152\", alpha=\"0.03\", expect_size=\"34200576\"] \n  40 [size=\"88485888\", alpha=\"0.18\", expect_size=\"44242944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40577024\", alpha=\"0.15\", expect_size=\"20288512\"] \n  1 -> 16 [size =\"20288512\"]\n  1 -> 18 [size =\"20288512\"]\n  1 -> 20 [size =\"20288512\"]\n  1 -> 21 [size =\"20288512\"]\n  1 -> 24 [size =\"20288512\"]\n  2 [size=\"63727616\", alpha=\"0.10\", expect_size=\"31863808\"] \n  2 -> 14 [size =\"31863808\"]\n  2 -> 18 [size =\"31863808\"]\n  2 -> 24 [size =\"31863808\"]\n  3 [size=\"19511296\", alpha=\"0.02\", expect_size=\"9755648\"] \n  3 -> 17 [size =\"9755648\"]\n  3 -> 18 [size =\"9755648\"]\n  3 -> 23 [size =\"9755648\"]\n  4 [size=\"68583424\", alpha=\"0.10\", expect_size=\"34291712\"] \n  4 -> 14 [size =\"34291712\"]\n  4 -> 18 [size =\"34291712\"]\n  4 -> 19 [size =\"34291712\"]\n  4 -> 20 [size =\"34291712\"]\n  4 -> 21 [size =\"34291712\"]\n  5 [size=\"15863808\", alpha=\"0.15\", expect_size=\"7931904\"] \n  5 -> 14 [size =\"7931904\"]\n  5 -> 15 [size =\"7931904\"]\n  5 -> 16 [size =\"7931904\"]\n  5 -> 21 [size =\"7931904\"]\n  5 -> 24 [size =\"7931904\"]\n  6 [size=\"63725568\", alpha=\"0.05\", expect_size=\"31862784\"] \n  6 -> 14 [size =\"31862784\"]\n  6 -> 18 [size =\"31862784\"]\n  6 -> 20 [size =\"31862784\"]\n  6 -> 24 [size =\"31862784\"]\n  7 [size=\"50167808\", alpha=\"0.01\", expect_size=\"25083904\"] \n  7 -> 15 [size =\"25083904\"]\n  7 -> 20 [size =\"25083904\"]\n  7 -> 20 [size =\"25083904\"]\n  8 [size=\"67553280\", alpha=\"0.19\", expect_size=\"33776640\"] \n  8 -> 16 [size =\"33776640\"]\n  8 -> 19 [size =\"33776640\"]\n  8 -> 20 [size =\"33776640\"]\n  9 [size=\"11130880\", alpha=\"0.10\", expect_size=\"5565440\"] \n  9 -> 14 [size =\"5565440\"]\n  9 -> 16 [size =\"5565440\"]\n  9 -> 17 [size =\"5565440\"]\n  9 -> 20 [size =\"5565440\"]\n  9 -> 25 [size =\"5565440\"]\n  10 [size=\"86773760\", alpha=\"0.02\", expect_size=\"43386880\"] \n  10 -> 16 [size =\"43386880\"]\n  10 -> 17 [size =\"43386880\"]\n  10 -> 18 [size =\"43386880\"]\n  10 -> 19 [size =\"43386880\"]\n  10 -> 20 [size =\"43386880\"]\n  10 -> 21 [size =\"43386880\"]\n  11 [size=\"22190080\", alpha=\"0.07\", expect_size=\"11095040\"] \n  11 -> 15 [size =\"11095040\"]\n  11 -> 17 [size =\"11095040\"]\n  11 -> 18 [size =\"11095040\"]\n  11 -> 19 [size =\"11095040\"]\n  11 -> 20 [size =\"11095040\"]\n  11 -> 22 [size =\"11095040\"]\n  11 -> 23 [size =\"11095040\"]\n  12 [size=\"92528640\", alpha=\"0.11\", expect_size=\"46264320\"] \n  12 -> 14 [size =\"46264320\"]\n  12 -> 15 [size =\"46264320\"]\n  12 -> 18 [size =\"46264320\"]\n  13 [size=\"46704640\", alpha=\"0.12\", expect_size=\"23352320\"] \n  13 -> 15 [size =\"23352320\"]\n  13 -> 15 [size =\"23352320\"]\n  13 -> 16 [size =\"23352320\"]\n  13 -> 17 [size =\"23352320\"]\n  13 -> 19 [size =\"23352320\"]\n  13 -> 24 [size =\"23352320\"]\n  14 [size=\"54710272\", alpha=\"0.01\", expect_size=\"27355136\"] \n  14 -> 26 [size =\"27355136\"]\n  14 -> 27 [size =\"27355136\"]\n  14 -> 29 [size =\"27355136\"]\n  14 -> 30 [size =\"27355136\"]\n  14 -> 36 [size =\"27355136\"]\n  14 -> 37 [size =\"27355136\"]\n  15 [size=\"101697536\", alpha=\"0.19\", expect_size=\"50848768\"] \n  15 -> 27 [size =\"50848768\"]\n  15 -> 30 [size =\"50848768\"]\n  15 -> 36 [size =\"50848768\"]\n  16 [size=\"76419072\", alpha=\"0.08\", expect_size=\"38209536\"] \n  16 -> 27 [size =\"38209536\"]\n  16 -> 29 [size =\"38209536\"]\n  16 -> 30 [size =\"38209536\"]\n  16 -> 31 [size =\"38209536\"]\n  16 -> 33 [size =\"38209536\"]\n  16 -> 35 [size =\"38209536\"]\n  16 -> 36 [size =\"38209536\"]\n  17 [size=\"102041600\", alpha=\"0.02\", expect_size=\"51020800\"] \n  17 -> 26 [size =\"51020800\"]\n  17 -> 27 [size =\"51020800\"]\n  17 -> 35 [size =\"51020800\"]\n  17 -> 36 [size =\"51020800\"]\n  17 -> 38 [size =\"51020800\"]\n  18 [size=\"14524416\", alpha=\"0.04\", expect_size=\"7262208\"] \n  18 -> 26 [size =\"7262208\"]\n  18 -> 27 [size =\"7262208\"]\n  18 -> 30 [size =\"7262208\"]\n  18 -> 31 [size =\"7262208\"]\n  18 -> 33 [size =\"7262208\"]\n  18 -> 38 [size =\"7262208\"]\n  19 [size=\"104142848\", alpha=\"0.10\", expect_size=\"52071424\"] \n  19 -> 28 [size =\"52071424\"]\n  19 -> 29 [size =\"52071424\"]\n  19 -> 31 [size =\"52071424\"]\n  19 -> 38 [size =\"52071424\"]\n  20 [size=\"59271168\", alpha=\"0.03\", expect_size=\"29635584\"] \n  20 -> 30 [size =\"29635584\"]\n  20 -> 31 [size =\"29635584\"]\n  20 -> 37 [size =\"29635584\"]\n  21 [size=\"67342336\", alpha=\"0.01\", expect_size=\"33671168\"] \n  21 -> 29 [size =\"33671168\"]\n  21 -> 31 [size =\"33671168\"]\n  21 -> 34 [size =\"33671168\"]\n  21 -> 35 [size =\"33671168\"]\n  21 -> 36 [size =\"33671168\"]\n  21 -> 38 [size =\"33671168\"]\n  22 [size=\"99301376\", alpha=\"0.11\", expect_size=\"49650688\"] \n  22 -> 26 [size =\"49650688\"]\n  22 -> 27 [size =\"49650688\"]\n  22 -> 31 [size =\"49650688\"]\n  22 -> 33 [size =\"49650688\"]\n  22 -> 34 [size =\"49650688\"]\n  22 -> 35 [size =\"49650688\"]\n  22 -> 36 [size =\"49650688\"]\n  23 [size=\"58114048\", alpha=\"0.02\", expect_size=\"29057024\"] \n  23 -> 26 [size =\"29057024\"]\n  23 -> 27 [size =\"29057024\"]\n  23 -> 29 [size =\"29057024\"]\n  23 -> 30 [size =\"29057024\"]\n  23 -> 31 [size =\"29057024\"]\n  23 -> 35 [size =\"29057024\"]\n  23 -> 36 [size =\"29057024\"]\n  24 [size=\"20137984\", alpha=\"0.06\", expect_size=\"10068992\"] \n  24 -> 27 [size =\"10068992\"]\n  24 -> 29 [size =\"10068992\"]\n  24 -> 30 [size =\"10068992\"]\n  24 -> 30 [size =\"10068992\"]\n  24 -> 32 [size =\"10068992\"]\n  24 -> 35 [size =\"10068992\"]\n  24 -> 36 [size =\"10068992\"]\n  24 -> 38 [size =\"10068992\"]\n  25 [size=\"22650880\", alpha=\"0.11\", expect_size=\"11325440\"] \n  25 -> 29 [size =\"11325440\"]\n  25 -> 31 [size =\"11325440\"]\n  25 -> 36 [size =\"11325440\"]\n  25 -> 38 [size =\"11325440\"]\n  26 [size=\"17760256\", alpha=\"0.08\", expect_size=\"8880128\"] \n  26 -> 39 [size =\"8880128\"]\n  27 [size=\"56915968\", alpha=\"0.12\", expect_size=\"28457984\"] \n  28 [size=\"64362496\", alpha=\"0.09\", expect_size=\"32181248\"] \n  28 -> 39 [size =\"32181248\"]\n  29 [size=\"83865600\", alpha=\"0.06\", expect_size=\"41932800\"] \n  29 -> 39 [size =\"41932800\"]\n  29 -> 40 [size =\"41932800\"]\n  30 [size=\"38914048\", alpha=\"0.19\", expect_size=\"19457024\"] \n  30 -> 40 [size =\"19457024\"]\n  30 -> 40 [size =\"19457024\"]\n  31 [size=\"50722816\", alpha=\"0.15\", expect_size=\"25361408\"] \n  31 -> 39 [size =\"25361408\"]\n  31 -> 40 [size =\"25361408\"]\n  32 [size=\"55013376\", alpha=\"0.08\", expect_size=\"27506688\"] \n  32 -> 40 [size =\"27506688\"]\n  32 -> 40 [size =\"27506688\"]\n  33 [size=\"10659840\", alpha=\"0.09\", expect_size=\"5329920\"] \n  33 -> 40 [size =\"5329920\"]\n  34 [size=\"21057536\", alpha=\"0.19\", expect_size=\"10528768\"] \n  35 [size=\"49934336\", alpha=\"0.08\", expect_size=\"24967168\"] \n  35 -> 39 [size =\"24967168\"]\n  36 [size=\"102670336\", alpha=\"0.11\", expect_size=\"51335168\"] \n  36 -> 40 [size =\"51335168\"]\n  37 [size=\"43759616\", alpha=\"0.14\", expect_size=\"21879808\"] \n  38 [size=\"101627904\", alpha=\"0.18\", expect_size=\"50813952\"] \n  38 -> 40 [size =\"50813952\"]\n  39 [size=\"50229248\", alpha=\"0.01\", expect_size=\"25114624\"] \n  40 [size=\"78954496\", alpha=\"0.15\", expect_size=\"39477248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42633216\", alpha=\"0.17\", expect_size=\"21316608\"] \n  1 -> 2 [size =\"21316608\"]\n  2 [size=\"32456704\", alpha=\"0.15\", expect_size=\"16228352\"] \n  2 -> 3 [size =\"16228352\"]\n  3 [size=\"72339456\", alpha=\"0.14\", expect_size=\"36169728\"] \n  3 -> 4 [size =\"36169728\"]\n  4 [size=\"36935680\", alpha=\"0.16\", expect_size=\"18467840\"] \n  4 -> 5 [size =\"18467840\"]\n  5 [size=\"26284032\", alpha=\"0.14\", expect_size=\"13142016\"] \n  5 -> 6 [size =\"13142016\"]\n  6 [size=\"77236224\", alpha=\"0.05\", expect_size=\"38618112\"] \n  6 -> 7 [size =\"38618112\"]\n  7 [size=\"15861760\", alpha=\"0.04\", expect_size=\"7930880\"] \n  7 -> 8 [size =\"7930880\"]\n  8 [size=\"88203264\", alpha=\"0.05\", expect_size=\"44101632\"] \n  8 -> 9 [size =\"44101632\"]\n  9 [size=\"81952768\", alpha=\"0.00\", expect_size=\"40976384\"] \n  9 -> 10 [size =\"40976384\"]\n  10 [size=\"46987264\", alpha=\"0.18\", expect_size=\"23493632\"] \n  10 -> 11 [size =\"23493632\"]\n  11 [size=\"90996736\", alpha=\"0.19\", expect_size=\"45498368\"] \n  11 -> 12 [size =\"45498368\"]\n  12 [size=\"74498048\", alpha=\"0.03\", expect_size=\"37249024\"] \n  12 -> 13 [size =\"37249024\"]\n  13 [size=\"49815552\", alpha=\"0.07\", expect_size=\"24907776\"] \n  13 -> 14 [size =\"24907776\"]\n  14 [size=\"20531200\", alpha=\"0.08\", expect_size=\"10265600\"] \n  14 -> 15 [size =\"10265600\"]\n  15 [size=\"96258048\", alpha=\"0.16\", expect_size=\"48129024\"] \n  15 -> 16 [size =\"48129024\"]\n  16 [size=\"68909056\", alpha=\"0.05\", expect_size=\"34454528\"] \n  16 -> 17 [size =\"34454528\"]\n  17 [size=\"93384704\", alpha=\"0.18\", expect_size=\"46692352\"] \n  17 -> 18 [size =\"46692352\"]\n  18 [size=\"18495488\", alpha=\"0.16\", expect_size=\"9247744\"] \n  18 -> 19 [size =\"9247744\"]\n  19 [size=\"43495424\", alpha=\"0.07\", expect_size=\"21747712\"] \n  19 -> 20 [size =\"21747712\"]\n  20 [size=\"44574720\", alpha=\"0.12\", expect_size=\"22287360\"] \n  20 -> 21 [size =\"22287360\"]\n  21 [size=\"36431872\", alpha=\"0.03\", expect_size=\"18215936\"] \n  21 -> 22 [size =\"18215936\"]\n  22 [size=\"30078976\", alpha=\"0.19\", expect_size=\"15039488\"] \n  22 -> 23 [size =\"15039488\"]\n  23 [size=\"46473216\", alpha=\"0.08\", expect_size=\"23236608\"] \n  23 -> 24 [size =\"23236608\"]\n  24 [size=\"78442496\", alpha=\"0.03\", expect_size=\"39221248\"] \n  24 -> 25 [size =\"39221248\"]\n  25 [size=\"21497856\", alpha=\"0.01\", expect_size=\"10748928\"] \n  25 -> 26 [size =\"10748928\"]\n  26 [size=\"95774720\", alpha=\"0.13\", expect_size=\"47887360\"] \n  26 -> 27 [size =\"47887360\"]\n  27 [size=\"24907776\", alpha=\"0.06\", expect_size=\"12453888\"] \n  27 -> 28 [size =\"12453888\"]\n  28 [size=\"16732160\", alpha=\"0.16\", expect_size=\"8366080\"] \n  28 -> 29 [size =\"8366080\"]\n  29 [size=\"92301312\", alpha=\"0.01\", expect_size=\"46150656\"] \n  29 -> 30 [size =\"46150656\"]\n  30 [size=\"32856064\", alpha=\"0.13\", expect_size=\"16428032\"] \n  30 -> 31 [size =\"16428032\"]\n  31 [size=\"88743936\", alpha=\"0.03\", expect_size=\"44371968\"] \n  31 -> 32 [size =\"44371968\"]\n  32 [size=\"103368704\", alpha=\"0.06\", expect_size=\"51684352\"] \n  32 -> 33 [size =\"51684352\"]\n  33 [size=\"98705408\", alpha=\"0.18\", expect_size=\"49352704\"] \n  33 -> 34 [size =\"49352704\"]\n  34 [size=\"42235904\", alpha=\"0.11\", expect_size=\"21117952\"] \n  34 -> 35 [size =\"21117952\"]\n  35 [size=\"54779904\", alpha=\"0.03\", expect_size=\"27389952\"] \n  35 -> 36 [size =\"27389952\"]\n  36 [size=\"57769984\", alpha=\"0.08\", expect_size=\"28884992\"] \n  36 -> 37 [size =\"28884992\"]\n  37 [size=\"23582720\", alpha=\"0.09\", expect_size=\"11791360\"] \n  37 -> 38 [size =\"11791360\"]\n  38 [size=\"51965952\", alpha=\"0.13\", expect_size=\"25982976\"] \n  38 -> 39 [size =\"25982976\"]\n  39 [size=\"31897600\", alpha=\"0.03\", expect_size=\"15948800\"] \n  39 -> 40 [size =\"15948800\"]\n  40 [size=\"34846720\", alpha=\"0.01\", expect_size=\"17423360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36087808\", alpha=\"0.01\", expect_size=\"18043904\"] \n  1 -> 21 [size =\"18043904\"]\n  1 -> 23 [size =\"18043904\"]\n  1 -> 24 [size =\"18043904\"]\n  1 -> 25 [size =\"18043904\"]\n  1 -> 26 [size =\"18043904\"]\n  1 -> 32 [size =\"18043904\"]\n  1 -> 33 [size =\"18043904\"]\n  1 -> 35 [size =\"18043904\"]\n  1 -> 39 [size =\"18043904\"]\n  1 -> 40 [size =\"18043904\"]\n  2 [size=\"23336960\", alpha=\"0.05\", expect_size=\"11668480\"] \n  2 -> 21 [size =\"11668480\"]\n  2 -> 22 [size =\"11668480\"]\n  2 -> 24 [size =\"11668480\"]\n  2 -> 27 [size =\"11668480\"]\n  2 -> 32 [size =\"11668480\"]\n  2 -> 33 [size =\"11668480\"]\n  2 -> 36 [size =\"11668480\"]\n  2 -> 40 [size =\"11668480\"]\n  3 [size=\"52643840\", alpha=\"0.13\", expect_size=\"26321920\"] \n  3 -> 21 [size =\"26321920\"]\n  3 -> 24 [size =\"26321920\"]\n  3 -> 24 [size =\"26321920\"]\n  3 -> 25 [size =\"26321920\"]\n  3 -> 27 [size =\"26321920\"]\n  3 -> 29 [size =\"26321920\"]\n  3 -> 32 [size =\"26321920\"]\n  3 -> 33 [size =\"26321920\"]\n  3 -> 34 [size =\"26321920\"]\n  3 -> 36 [size =\"26321920\"]\n  3 -> 39 [size =\"26321920\"]\n  3 -> 40 [size =\"26321920\"]\n  4 [size=\"27625472\", alpha=\"0.06\", expect_size=\"13812736\"] \n  4 -> 21 [size =\"13812736\"]\n  4 -> 24 [size =\"13812736\"]\n  4 -> 25 [size =\"13812736\"]\n  4 -> 27 [size =\"13812736\"]\n  4 -> 28 [size =\"13812736\"]\n  4 -> 29 [size =\"13812736\"]\n  4 -> 30 [size =\"13812736\"]\n  4 -> 32 [size =\"13812736\"]\n  4 -> 33 [size =\"13812736\"]\n  4 -> 35 [size =\"13812736\"]\n  4 -> 40 [size =\"13812736\"]\n  5 [size=\"47822848\", alpha=\"0.16\", expect_size=\"23911424\"] \n  5 -> 21 [size =\"23911424\"]\n  5 -> 22 [size =\"23911424\"]\n  5 -> 24 [size =\"23911424\"]\n  5 -> 26 [size =\"23911424\"]\n  5 -> 29 [size =\"23911424\"]\n  5 -> 29 [size =\"23911424\"]\n  5 -> 32 [size =\"23911424\"]\n  5 -> 33 [size =\"23911424\"]\n  6 [size=\"102879232\", alpha=\"0.14\", expect_size=\"51439616\"] \n  6 -> 24 [size =\"51439616\"]\n  6 -> 26 [size =\"51439616\"]\n  6 -> 27 [size =\"51439616\"]\n  6 -> 29 [size =\"51439616\"]\n  6 -> 29 [size =\"51439616\"]\n  6 -> 33 [size =\"51439616\"]\n  6 -> 35 [size =\"51439616\"]\n  6 -> 36 [size =\"51439616\"]\n  6 -> 38 [size =\"51439616\"]\n  7 [size=\"34736128\", alpha=\"0.15\", expect_size=\"17368064\"] \n  7 -> 20 [size =\"17368064\"]\n  7 -> 24 [size =\"17368064\"]\n  7 -> 26 [size =\"17368064\"]\n  7 -> 27 [size =\"17368064\"]\n  7 -> 29 [size =\"17368064\"]\n  7 -> 35 [size =\"17368064\"]\n  7 -> 35 [size =\"17368064\"]\n  7 -> 38 [size =\"17368064\"]\n  8 [size=\"71794688\", alpha=\"0.00\", expect_size=\"35897344\"] \n  8 -> 21 [size =\"35897344\"]\n  8 -> 22 [size =\"35897344\"]\n  8 -> 24 [size =\"35897344\"]\n  8 -> 26 [size =\"35897344\"]\n  8 -> 35 [size =\"35897344\"]\n  8 -> 36 [size =\"35897344\"]\n  8 -> 40 [size =\"35897344\"]\n  9 [size=\"54700032\", alpha=\"0.18\", expect_size=\"27350016\"] \n  9 -> 21 [size =\"27350016\"]\n  9 -> 22 [size =\"27350016\"]\n  9 -> 24 [size =\"27350016\"]\n  9 -> 25 [size =\"27350016\"]\n  9 -> 26 [size =\"27350016\"]\n  9 -> 29 [size =\"27350016\"]\n  9 -> 30 [size =\"27350016\"]\n  9 -> 31 [size =\"27350016\"]\n  9 -> 32 [size =\"27350016\"]\n  9 -> 33 [size =\"27350016\"]\n  9 -> 34 [size =\"27350016\"]\n  9 -> 35 [size =\"27350016\"]\n  9 -> 36 [size =\"27350016\"]\n  9 -> 38 [size =\"27350016\"]\n  9 -> 39 [size =\"27350016\"]\n  9 -> 40 [size =\"27350016\"]\n  10 [size=\"17530880\", alpha=\"0.02\", expect_size=\"8765440\"] \n  10 -> 21 [size =\"8765440\"]\n  10 -> 22 [size =\"8765440\"]\n  10 -> 24 [size =\"8765440\"]\n  10 -> 25 [size =\"8765440\"]\n  10 -> 29 [size =\"8765440\"]\n  10 -> 33 [size =\"8765440\"]\n  10 -> 36 [size =\"8765440\"]\n  10 -> 40 [size =\"8765440\"]\n  11 [size=\"11630592\", alpha=\"0.14\", expect_size=\"5815296\"] \n  11 -> 21 [size =\"5815296\"]\n  11 -> 22 [size =\"5815296\"]\n  11 -> 23 [size =\"5815296\"]\n  11 -> 24 [size =\"5815296\"]\n  11 -> 26 [size =\"5815296\"]\n  11 -> 27 [size =\"5815296\"]\n  11 -> 28 [size =\"5815296\"]\n  11 -> 29 [size =\"5815296\"]\n  11 -> 32 [size =\"5815296\"]\n  11 -> 33 [size =\"5815296\"]\n  11 -> 34 [size =\"5815296\"]\n  11 -> 35 [size =\"5815296\"]\n  11 -> 36 [size =\"5815296\"]\n  11 -> 38 [size =\"5815296\"]\n  11 -> 40 [size =\"5815296\"]\n  12 [size=\"16900096\", alpha=\"0.08\", expect_size=\"8450048\"] \n  12 -> 21 [size =\"8450048\"]\n  12 -> 22 [size =\"8450048\"]\n  12 -> 24 [size =\"8450048\"]\n  12 -> 24 [size =\"8450048\"]\n  12 -> 25 [size =\"8450048\"]\n  12 -> 26 [size =\"8450048\"]\n  12 -> 27 [size =\"8450048\"]\n  12 -> 28 [size =\"8450048\"]\n  12 -> 29 [size =\"8450048\"]\n  12 -> 32 [size =\"8450048\"]\n  12 -> 33 [size =\"8450048\"]\n  12 -> 34 [size =\"8450048\"]\n  12 -> 35 [size =\"8450048\"]\n  12 -> 38 [size =\"8450048\"]\n  12 -> 40 [size =\"8450048\"]\n  13 [size=\"40046592\", alpha=\"0.15\", expect_size=\"20023296\"] \n  13 -> 21 [size =\"20023296\"]\n  13 -> 22 [size =\"20023296\"]\n  13 -> 24 [size =\"20023296\"]\n  13 -> 26 [size =\"20023296\"]\n  13 -> 27 [size =\"20023296\"]\n  13 -> 29 [size =\"20023296\"]\n  13 -> 32 [size =\"20023296\"]\n  13 -> 33 [size =\"20023296\"]\n  13 -> 35 [size =\"20023296\"]\n  13 -> 36 [size =\"20023296\"]\n  13 -> 38 [size =\"20023296\"]\n  13 -> 40 [size =\"20023296\"]\n  14 [size=\"99938304\", alpha=\"0.09\", expect_size=\"49969152\"] \n  14 -> 21 [size =\"49969152\"]\n  14 -> 22 [size =\"49969152\"]\n  14 -> 24 [size =\"49969152\"]\n  14 -> 25 [size =\"49969152\"]\n  14 -> 27 [size =\"49969152\"]\n  14 -> 29 [size =\"49969152\"]\n  14 -> 30 [size =\"49969152\"]\n  14 -> 32 [size =\"49969152\"]\n  14 -> 33 [size =\"49969152\"]\n  14 -> 35 [size =\"49969152\"]\n  14 -> 36 [size =\"49969152\"]\n  14 -> 38 [size =\"49969152\"]\n  14 -> 39 [size =\"49969152\"]\n  14 -> 40 [size =\"49969152\"]\n  15 [size=\"36147200\", alpha=\"0.16\", expect_size=\"18073600\"] \n  15 -> 21 [size =\"18073600\"]\n  15 -> 22 [size =\"18073600\"]\n  15 -> 23 [size =\"18073600\"]\n  15 -> 24 [size =\"18073600\"]\n  15 -> 25 [size =\"18073600\"]\n  15 -> 27 [size =\"18073600\"]\n  15 -> 29 [size =\"18073600\"]\n  15 -> 30 [size =\"18073600\"]\n  15 -> 32 [size =\"18073600\"]\n  15 -> 33 [size =\"18073600\"]\n  15 -> 35 [size =\"18073600\"]\n  15 -> 36 [size =\"18073600\"]\n  15 -> 40 [size =\"18073600\"]\n  15 -> 40 [size =\"18073600\"]\n  16 [size=\"15847424\", alpha=\"0.16\", expect_size=\"7923712\"] \n  16 -> 21 [size =\"7923712\"]\n  16 -> 22 [size =\"7923712\"]\n  16 -> 27 [size =\"7923712\"]\n  16 -> 28 [size =\"7923712\"]\n  16 -> 33 [size =\"7923712\"]\n  16 -> 35 [size =\"7923712\"]\n  16 -> 36 [size =\"7923712\"]\n  16 -> 40 [size =\"7923712\"]\n  17 [size=\"83154944\", alpha=\"0.05\", expect_size=\"41577472\"] \n  17 -> 21 [size =\"41577472\"]\n  17 -> 22 [size =\"41577472\"]\n  17 -> 25 [size =\"41577472\"]\n  17 -> 27 [size =\"41577472\"]\n  17 -> 32 [size =\"41577472\"]\n  17 -> 33 [size =\"41577472\"]\n  17 -> 36 [size =\"41577472\"]\n  17 -> 37 [size =\"41577472\"]\n  17 -> 38 [size =\"41577472\"]\n  17 -> 40 [size =\"41577472\"]\n  18 [size=\"58015744\", alpha=\"0.15\", expect_size=\"29007872\"] \n  18 -> 20 [size =\"29007872\"]\n  18 -> 21 [size =\"29007872\"]\n  18 -> 22 [size =\"29007872\"]\n  18 -> 29 [size =\"29007872\"]\n  18 -> 30 [size =\"29007872\"]\n  18 -> 33 [size =\"29007872\"]\n  18 -> 39 [size =\"29007872\"]\n  18 -> 40 [size =\"29007872\"]\n  19 [size=\"60278784\", alpha=\"0.20\", expect_size=\"30139392\"] \n  19 -> 20 [size =\"30139392\"]\n  19 -> 21 [size =\"30139392\"]\n  19 -> 22 [size =\"30139392\"]\n  19 -> 24 [size =\"30139392\"]\n  19 -> 26 [size =\"30139392\"]\n  19 -> 28 [size =\"30139392\"]\n  19 -> 29 [size =\"30139392\"]\n  19 -> 30 [size =\"30139392\"]\n  19 -> 33 [size =\"30139392\"]\n  19 -> 35 [size =\"30139392\"]\n  19 -> 36 [size =\"30139392\"]\n  19 -> 39 [size =\"30139392\"]\n  19 -> 40 [size =\"30139392\"]\n  20 [size=\"48871424\", alpha=\"0.20\", expect_size=\"24435712\"] \n  21 [size=\"59637760\", alpha=\"0.05\", expect_size=\"29818880\"] \n  22 [size=\"32266240\", alpha=\"0.13\", expect_size=\"16133120\"] \n  23 [size=\"69931008\", alpha=\"0.09\", expect_size=\"34965504\"] \n  24 [size=\"46505984\", alpha=\"0.10\", expect_size=\"23252992\"] \n  25 [size=\"88147968\", alpha=\"0.18\", expect_size=\"44073984\"] \n  26 [size=\"67096576\", alpha=\"0.06\", expect_size=\"33548288\"] \n  27 [size=\"46440448\", alpha=\"0.19\", expect_size=\"23220224\"] \n  28 [size=\"71794688\", alpha=\"0.05\", expect_size=\"35897344\"] \n  29 [size=\"49020928\", alpha=\"0.01\", expect_size=\"24510464\"] \n  30 [size=\"47996928\", alpha=\"0.18\", expect_size=\"23998464\"] \n  31 [size=\"45774848\", alpha=\"0.15\", expect_size=\"22887424\"] \n  32 [size=\"67958784\", alpha=\"0.14\", expect_size=\"33979392\"] \n  33 [size=\"33028096\", alpha=\"0.18\", expect_size=\"16514048\"] \n  34 [size=\"77512704\", alpha=\"0.02\", expect_size=\"38756352\"] \n  35 [size=\"29814784\", alpha=\"0.11\", expect_size=\"14907392\"] \n  36 [size=\"21641216\", alpha=\"0.02\", expect_size=\"10820608\"] \n  37 [size=\"51015680\", alpha=\"0.08\", expect_size=\"25507840\"] \n  38 [size=\"47820800\", alpha=\"0.03\", expect_size=\"23910400\"] \n  39 [size=\"73363456\", alpha=\"0.10\", expect_size=\"36681728\"] \n  40 [size=\"77490176\", alpha=\"0.04\", expect_size=\"38745088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116636160\", alpha=\"0.08\", expect_size=\"46654464\"] \n  2 [size=\"22435840\", alpha=\"0.07\", expect_size=\"8974336\"] \n  3 [size=\"79078400\", alpha=\"0.13\", expect_size=\"31631360\"] \n  4 [size=\"72949760\", alpha=\"0.19\", expect_size=\"29179904\"] \n  5 [size=\"117048320\", alpha=\"0.03\", expect_size=\"46819328\"] \n  6 [size=\"14320640\", alpha=\"0.11\", expect_size=\"5728256\"] \n  7 [size=\"119859200\", alpha=\"0.13\", expect_size=\"47943680\"] \n  7 -> 40 [size =\"47943680\"]\n  8 [size=\"118776320\", alpha=\"0.20\", expect_size=\"47510528\"] \n  9 [size=\"59422720\", alpha=\"0.01\", expect_size=\"23769088\"] \n  10 [size=\"37611520\", alpha=\"0.00\", expect_size=\"15044608\"] \n  11 [size=\"68823040\", alpha=\"0.15\", expect_size=\"27529216\"] \n  12 [size=\"118952960\", alpha=\"0.13\", expect_size=\"47581184\"] \n  12 -> 40 [size =\"47581184\"]\n  13 [size=\"40691200\", alpha=\"0.04\", expect_size=\"16276480\"] \n  14 [size=\"117959680\", alpha=\"0.14\", expect_size=\"47183872\"] \n  15 [size=\"109611520\", alpha=\"0.19\", expect_size=\"43844608\"] \n  16 [size=\"127308800\", alpha=\"0.17\", expect_size=\"50923520\"] \n  17 [size=\"72942080\", alpha=\"0.09\", expect_size=\"29176832\"] \n  18 [size=\"30694400\", alpha=\"0.18\", expect_size=\"12277760\"] \n  19 [size=\"28997120\", alpha=\"0.10\", expect_size=\"11598848\"] \n  20 [size=\"36979200\", alpha=\"0.15\", expect_size=\"14791680\"] \n  21 [size=\"39329280\", alpha=\"0.17\", expect_size=\"15731712\"] \n  21 -> 40 [size =\"15731712\"]\n  22 [size=\"128586240\", alpha=\"0.00\", expect_size=\"51434496\"] \n  22 -> 40 [size =\"51434496\"]\n  23 [size=\"89489920\", alpha=\"0.15\", expect_size=\"35795968\"] \n  24 [size=\"112079360\", alpha=\"0.00\", expect_size=\"44831744\"] \n  25 [size=\"74890240\", alpha=\"0.03\", expect_size=\"29956096\"] \n  26 [size=\"67942400\", alpha=\"0.05\", expect_size=\"27176960\"] \n  27 [size=\"48312320\", alpha=\"0.06\", expect_size=\"19324928\"] \n  28 [size=\"99271680\", alpha=\"0.05\", expect_size=\"39708672\"] \n  29 [size=\"85611520\", alpha=\"0.12\", expect_size=\"34244608\"] \n  30 [size=\"27740160\", alpha=\"0.02\", expect_size=\"11096064\"] \n  31 [size=\"114255360\", alpha=\"0.03\", expect_size=\"45702144\"] \n  32 [size=\"94791680\", alpha=\"0.01\", expect_size=\"37916672\"] \n  33 [size=\"96645120\", alpha=\"0.04\", expect_size=\"38658048\"] \n  34 [size=\"67824640\", alpha=\"0.04\", expect_size=\"27129856\"] \n  35 [size=\"68170240\", alpha=\"0.01\", expect_size=\"27268096\"] \n  36 [size=\"83658240\", alpha=\"0.18\", expect_size=\"33463296\"] \n  37 [size=\"115507200\", alpha=\"0.04\", expect_size=\"46202880\"] \n  38 [size=\"34542080\", alpha=\"0.14\", expect_size=\"13816832\"] \n  39 [size=\"64396800\", alpha=\"0.06\", expect_size=\"25758720\"] \n  40 [size=\"15459840\", alpha=\"0.02\", expect_size=\"6183936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104212480\", alpha=\"0.11\", expect_size=\"41684992\"] \n  2 [size=\"36531200\", alpha=\"0.12\", expect_size=\"14612480\"] \n  3 [size=\"60410880\", alpha=\"0.06\", expect_size=\"24164352\"] \n  3 -> 4 [size =\"24164352\"]\n  4 [size=\"13480960\", alpha=\"0.06\", expect_size=\"5392384\"] \n  4 -> 5 [size =\"5392384\"]\n  4 -> 6 [size =\"5392384\"]\n  4 -> 7 [size =\"5392384\"]\n  4 -> 8 [size =\"5392384\"]\n  5 [size=\"123957760\", alpha=\"0.08\", expect_size=\"49583104\"] \n  5 -> 9 [size =\"49583104\"]\n  5 -> 10 [size =\"49583104\"]\n  5 -> 11 [size =\"49583104\"]\n  5 -> 12 [size =\"49583104\"]\n  6 [size=\"121461760\", alpha=\"0.04\", expect_size=\"48584704\"] \n  6 -> 9 [size =\"48584704\"]\n  6 -> 11 [size =\"48584704\"]\n  6 -> 12 [size =\"48584704\"]\n  6 -> 12 [size =\"48584704\"]\n  7 [size=\"64340480\", alpha=\"0.12\", expect_size=\"25736192\"] \n  7 -> 9 [size =\"25736192\"]\n  7 -> 11 [size =\"25736192\"]\n  8 [size=\"83717120\", alpha=\"0.16\", expect_size=\"33486848\"] \n  8 -> 9 [size =\"33486848\"]\n  8 -> 12 [size =\"33486848\"]\n  9 [size=\"121930240\", alpha=\"0.06\", expect_size=\"48772096\"] \n  9 -> 14 [size =\"48772096\"]\n  9 -> 15 [size =\"48772096\"]\n  10 [size=\"45936640\", alpha=\"0.06\", expect_size=\"18374656\"] \n  10 -> 15 [size =\"18374656\"]\n  11 [size=\"49323520\", alpha=\"0.04\", expect_size=\"19729408\"] \n  11 -> 13 [size =\"19729408\"]\n  11 -> 15 [size =\"19729408\"]\n  12 [size=\"112755200\", alpha=\"0.04\", expect_size=\"45102080\"] \n  12 -> 14 [size =\"45102080\"]\n  13 [size=\"68395520\", alpha=\"0.13\", expect_size=\"27358208\"] \n  13 -> 16 [size =\"27358208\"]\n  13 -> 17 [size =\"27358208\"]\n  13 -> 18 [size =\"27358208\"]\n  14 [size=\"103278080\", alpha=\"0.08\", expect_size=\"41311232\"] \n  14 -> 16 [size =\"41311232\"]\n  14 -> 17 [size =\"41311232\"]\n  14 -> 18 [size =\"41311232\"]\n  15 [size=\"22612480\", alpha=\"0.16\", expect_size=\"9044992\"] \n  15 -> 16 [size =\"9044992\"]\n  15 -> 17 [size =\"9044992\"]\n  15 -> 18 [size =\"9044992\"]\n  16 [size=\"70248960\", alpha=\"0.02\", expect_size=\"28099584\"] \n  16 -> 19 [size =\"28099584\"]\n  17 [size=\"93048320\", alpha=\"0.10\", expect_size=\"37219328\"] \n  18 [size=\"47738880\", alpha=\"0.02\", expect_size=\"19095552\"] \n  18 -> 19 [size =\"19095552\"]\n  19 [size=\"22415360\", alpha=\"0.00\", expect_size=\"8966144\"] \n  19 -> 20 [size =\"8966144\"]\n  19 -> 21 [size =\"8966144\"]\n  20 [size=\"59338240\", alpha=\"0.12\", expect_size=\"23735296\"] \n  20 -> 22 [size =\"23735296\"]\n  21 [size=\"97144320\", alpha=\"0.18\", expect_size=\"38857728\"] \n  21 -> 22 [size =\"38857728\"]\n  22 [size=\"117992960\", alpha=\"0.09\", expect_size=\"47197184\"] \n  22 -> 23 [size =\"47197184\"]\n  22 -> 24 [size =\"47197184\"]\n  23 [size=\"25605120\", alpha=\"0.08\", expect_size=\"10242048\"] \n  23 -> 25 [size =\"10242048\"]\n  23 -> 26 [size =\"10242048\"]\n  24 [size=\"102581760\", alpha=\"0.07\", expect_size=\"41032704\"] \n  24 -> 26 [size =\"41032704\"]\n  25 [size=\"31262720\", alpha=\"0.04\", expect_size=\"12505088\"] \n  25 -> 27 [size =\"12505088\"]\n  25 -> 28 [size =\"12505088\"]\n  26 [size=\"126297600\", alpha=\"0.00\", expect_size=\"50519040\"] \n  26 -> 27 [size =\"50519040\"]\n  26 -> 28 [size =\"50519040\"]\n  27 [size=\"19023360\", alpha=\"0.05\", expect_size=\"7609344\"] \n  28 [size=\"78827520\", alpha=\"0.02\", expect_size=\"31531008\"] \n  28 -> 29 [size =\"31531008\"]\n  28 -> 30 [size =\"31531008\"]\n  29 [size=\"92065280\", alpha=\"0.17\", expect_size=\"36826112\"] \n  29 -> 32 [size =\"36826112\"]\n  29 -> 33 [size =\"36826112\"]\n  30 [size=\"93145600\", alpha=\"0.18\", expect_size=\"37258240\"] \n  30 -> 31 [size =\"37258240\"]\n  30 -> 32 [size =\"37258240\"]\n  30 -> 33 [size =\"37258240\"]\n  31 [size=\"43176960\", alpha=\"0.04\", expect_size=\"17270784\"] \n  31 -> 34 [size =\"17270784\"]\n  31 -> 35 [size =\"17270784\"]\n  32 [size=\"33269760\", alpha=\"0.08\", expect_size=\"13307904\"] \n  32 -> 34 [size =\"13307904\"]\n  32 -> 35 [size =\"13307904\"]\n  33 [size=\"86845440\", alpha=\"0.01\", expect_size=\"34738176\"] \n  33 -> 35 [size =\"34738176\"]\n  34 [size=\"15278080\", alpha=\"0.10\", expect_size=\"6111232\"] \n  34 -> 36 [size =\"6111232\"]\n  34 -> 37 [size =\"6111232\"]\n  34 -> 38 [size =\"6111232\"]\n  35 [size=\"54878720\", alpha=\"0.20\", expect_size=\"21951488\"] \n  35 -> 37 [size =\"21951488\"]\n  35 -> 38 [size =\"21951488\"]\n  36 [size=\"80568320\", alpha=\"0.19\", expect_size=\"32227328\"] \n  36 -> 39 [size =\"32227328\"]\n  37 [size=\"82734080\", alpha=\"0.12\", expect_size=\"33093632\"] \n  37 -> 39 [size =\"33093632\"]\n  38 [size=\"112619520\", alpha=\"0.12\", expect_size=\"45047808\"] \n  38 -> 39 [size =\"45047808\"]\n  39 [size=\"122864640\", alpha=\"0.12\", expect_size=\"49145856\"] \n  39 -> 40 [size =\"49145856\"]\n  40 [size=\"104332800\", alpha=\"0.01\", expect_size=\"41733120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31093760\", alpha=\"0.13\", expect_size=\"12437504\"] \n  1 -> 4 [size =\"12437504\"]\n  1 -> 5 [size =\"12437504\"]\n  1 -> 6 [size =\"12437504\"]\n  2 [size=\"32325120\", alpha=\"0.08\", expect_size=\"12930048\"] \n  3 [size=\"92480000\", alpha=\"0.04\", expect_size=\"36992000\"] \n  3 -> 4 [size =\"36992000\"]\n  4 [size=\"49968640\", alpha=\"0.17\", expect_size=\"19987456\"] \n  4 -> 7 [size =\"19987456\"]\n  4 -> 8 [size =\"19987456\"]\n  5 [size=\"118837760\", alpha=\"0.11\", expect_size=\"47535104\"] \n  5 -> 7 [size =\"47535104\"]\n  5 -> 8 [size =\"47535104\"]\n  6 [size=\"70858240\", alpha=\"0.12\", expect_size=\"28343296\"] \n  6 -> 7 [size =\"28343296\"]\n  6 -> 8 [size =\"28343296\"]\n  7 [size=\"51230720\", alpha=\"0.10\", expect_size=\"20492288\"] \n  7 -> 10 [size =\"20492288\"]\n  7 -> 11 [size =\"20492288\"]\n  8 [size=\"102620160\", alpha=\"0.01\", expect_size=\"41048064\"] \n  8 -> 9 [size =\"41048064\"]\n  8 -> 10 [size =\"41048064\"]\n  9 [size=\"68661760\", alpha=\"0.14\", expect_size=\"27464704\"] \n  9 -> 13 [size =\"27464704\"]\n  9 -> 14 [size =\"27464704\"]\n  10 [size=\"79109120\", alpha=\"0.01\", expect_size=\"31643648\"] \n  10 -> 12 [size =\"31643648\"]\n  10 -> 14 [size =\"31643648\"]\n  11 [size=\"102950400\", alpha=\"0.14\", expect_size=\"41180160\"] \n  11 -> 14 [size =\"41180160\"]\n  12 [size=\"63879680\", alpha=\"0.03\", expect_size=\"25551872\"] \n  12 -> 15 [size =\"25551872\"]\n  12 -> 17 [size =\"25551872\"]\n  13 [size=\"109626880\", alpha=\"0.04\", expect_size=\"43850752\"] \n  13 -> 16 [size =\"43850752\"]\n  14 [size=\"14860800\", alpha=\"0.10\", expect_size=\"5944320\"] \n  14 -> 16 [size =\"5944320\"]\n  15 [size=\"113968640\", alpha=\"0.06\", expect_size=\"45587456\"] \n  15 -> 19 [size =\"45587456\"]\n  16 [size=\"58608640\", alpha=\"0.13\", expect_size=\"23443456\"] \n  16 -> 19 [size =\"23443456\"]\n  17 [size=\"128166400\", alpha=\"0.17\", expect_size=\"51266560\"] \n  17 -> 18 [size =\"51266560\"]\n  17 -> 19 [size =\"51266560\"]\n  18 [size=\"68812800\", alpha=\"0.08\", expect_size=\"27525120\"] \n  18 -> 20 [size =\"27525120\"]\n  18 -> 21 [size =\"27525120\"]\n  19 [size=\"77207040\", alpha=\"0.08\", expect_size=\"30882816\"] \n  19 -> 20 [size =\"30882816\"]\n  20 [size=\"41018880\", alpha=\"0.03\", expect_size=\"16407552\"] \n  20 -> 23 [size =\"16407552\"]\n  20 -> 24 [size =\"16407552\"]\n  21 [size=\"45273600\", alpha=\"0.02\", expect_size=\"18109440\"] \n  21 -> 22 [size =\"18109440\"]\n  21 -> 23 [size =\"18109440\"]\n  21 -> 24 [size =\"18109440\"]\n  22 [size=\"128263680\", alpha=\"0.04\", expect_size=\"51305472\"] \n  23 [size=\"30369280\", alpha=\"0.20\", expect_size=\"12147712\"] \n  23 -> 25 [size =\"12147712\"]\n  23 -> 27 [size =\"12147712\"]\n  24 [size=\"55930880\", alpha=\"0.02\", expect_size=\"22372352\"] \n  24 -> 25 [size =\"22372352\"]\n  24 -> 26 [size =\"22372352\"]\n  24 -> 27 [size =\"22372352\"]\n  25 [size=\"116812800\", alpha=\"0.01\", expect_size=\"46725120\"] \n  25 -> 29 [size =\"46725120\"]\n  26 [size=\"31544320\", alpha=\"0.11\", expect_size=\"12617728\"] \n  26 -> 28 [size =\"12617728\"]\n  27 [size=\"107520000\", alpha=\"0.07\", expect_size=\"43008000\"] \n  27 -> 28 [size =\"43008000\"]\n  28 [size=\"92707840\", alpha=\"0.18\", expect_size=\"37083136\"] \n  28 -> 32 [size =\"37083136\"]\n  29 [size=\"22784000\", alpha=\"0.19\", expect_size=\"9113600\"] \n  29 -> 30 [size =\"9113600\"]\n  29 -> 31 [size =\"9113600\"]\n  29 -> 32 [size =\"9113600\"]\n  30 [size=\"67763200\", alpha=\"0.10\", expect_size=\"27105280\"] \n  30 -> 34 [size =\"27105280\"]\n  31 [size=\"87861760\", alpha=\"0.17\", expect_size=\"35144704\"] \n  31 -> 33 [size =\"35144704\"]\n  31 -> 34 [size =\"35144704\"]\n  32 [size=\"101063680\", alpha=\"0.13\", expect_size=\"40425472\"] \n  33 [size=\"126592000\", alpha=\"0.05\", expect_size=\"50636800\"] \n  33 -> 35 [size =\"50636800\"]\n  33 -> 36 [size =\"50636800\"]\n  33 -> 37 [size =\"50636800\"]\n  34 [size=\"125854720\", alpha=\"0.17\", expect_size=\"50341888\"] \n  34 -> 35 [size =\"50341888\"]\n  34 -> 36 [size =\"50341888\"]\n  34 -> 37 [size =\"50341888\"]\n  35 [size=\"17751040\", alpha=\"0.07\", expect_size=\"7100416\"] \n  35 -> 38 [size =\"7100416\"]\n  35 -> 39 [size =\"7100416\"]\n  36 [size=\"25978880\", alpha=\"0.04\", expect_size=\"10391552\"] \n  36 -> 38 [size =\"10391552\"]\n  36 -> 39 [size =\"10391552\"]\n  37 [size=\"90324480\", alpha=\"0.00\", expect_size=\"36129792\"] \n  38 [size=\"130946560\", alpha=\"0.06\", expect_size=\"52378624\"] \n  38 -> 40 [size =\"52378624\"]\n  39 [size=\"119393280\", alpha=\"0.03\", expect_size=\"47757312\"] \n  40 [size=\"111224320\", alpha=\"0.05\", expect_size=\"44489728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60549120\", alpha=\"0.03\", expect_size=\"30274560\"] \n  1 -> 2 [size =\"30274560\"]\n  2 [size=\"22085632\", alpha=\"0.19\", expect_size=\"11042816\"] \n  2 -> 3 [size =\"11042816\"]\n  3 [size=\"77529088\", alpha=\"0.11\", expect_size=\"38764544\"] \n  3 -> 4 [size =\"38764544\"]\n  4 [size=\"92293120\", alpha=\"0.14\", expect_size=\"46146560\"] \n  4 -> 5 [size =\"46146560\"]\n  5 [size=\"26656768\", alpha=\"0.02\", expect_size=\"13328384\"] \n  5 -> 6 [size =\"13328384\"]\n  6 [size=\"13203456\", alpha=\"0.16\", expect_size=\"6601728\"] \n  6 -> 7 [size =\"6601728\"]\n  7 [size=\"50116608\", alpha=\"0.15\", expect_size=\"25058304\"] \n  7 -> 8 [size =\"25058304\"]\n  8 [size=\"18829312\", alpha=\"0.12\", expect_size=\"9414656\"] \n  8 -> 9 [size =\"9414656\"]\n  9 [size=\"42639360\", alpha=\"0.02\", expect_size=\"21319680\"] \n  9 -> 10 [size =\"21319680\"]\n  10 [size=\"62402560\", alpha=\"0.03\", expect_size=\"31201280\"] \n  10 -> 11 [size =\"31201280\"]\n  11 [size=\"60932096\", alpha=\"0.07\", expect_size=\"30466048\"] \n  11 -> 12 [size =\"30466048\"]\n  12 [size=\"73383936\", alpha=\"0.14\", expect_size=\"36691968\"] \n  12 -> 13 [size =\"36691968\"]\n  13 [size=\"70629376\", alpha=\"0.08\", expect_size=\"35314688\"] \n  13 -> 14 [size =\"35314688\"]\n  14 [size=\"26083328\", alpha=\"0.16\", expect_size=\"13041664\"] \n  14 -> 15 [size =\"13041664\"]\n  15 [size=\"93124608\", alpha=\"0.13\", expect_size=\"46562304\"] \n  15 -> 16 [size =\"46562304\"]\n  16 [size=\"100352000\", alpha=\"0.07\", expect_size=\"50176000\"] \n  16 -> 17 [size =\"50176000\"]\n  17 [size=\"80707584\", alpha=\"0.01\", expect_size=\"40353792\"] \n  17 -> 18 [size =\"40353792\"]\n  18 [size=\"55767040\", alpha=\"0.20\", expect_size=\"27883520\"] \n  18 -> 19 [size =\"27883520\"]\n  19 [size=\"17379328\", alpha=\"0.15\", expect_size=\"8689664\"] \n  19 -> 20 [size =\"8689664\"]\n  20 [size=\"27580416\", alpha=\"0.15\", expect_size=\"13790208\"] \n  20 -> 21 [size =\"13790208\"]\n  21 [size=\"40345600\", alpha=\"0.04\", expect_size=\"20172800\"] \n  21 -> 22 [size =\"20172800\"]\n  22 [size=\"73404416\", alpha=\"0.17\", expect_size=\"36702208\"] \n  22 -> 23 [size =\"36702208\"]\n  23 [size=\"44695552\", alpha=\"0.03\", expect_size=\"22347776\"] \n  23 -> 24 [size =\"22347776\"]\n  24 [size=\"83478528\", alpha=\"0.07\", expect_size=\"41739264\"] \n  24 -> 25 [size =\"41739264\"]\n  25 [size=\"65046528\", alpha=\"0.14\", expect_size=\"32523264\"] \n  25 -> 26 [size =\"32523264\"]\n  26 [size=\"31287296\", alpha=\"0.02\", expect_size=\"15643648\"] \n  26 -> 27 [size =\"15643648\"]\n  27 [size=\"66369536\", alpha=\"0.18\", expect_size=\"33184768\"] \n  27 -> 28 [size =\"33184768\"]\n  28 [size=\"68820992\", alpha=\"0.16\", expect_size=\"34410496\"] \n  28 -> 29 [size =\"34410496\"]\n  29 [size=\"67702784\", alpha=\"0.01\", expect_size=\"33851392\"] \n  29 -> 30 [size =\"33851392\"]\n  30 [size=\"46194688\", alpha=\"0.16\", expect_size=\"23097344\"] \n  30 -> 31 [size =\"23097344\"]\n  31 [size=\"20701184\", alpha=\"0.03\", expect_size=\"10350592\"] \n  31 -> 32 [size =\"10350592\"]\n  32 [size=\"41281536\", alpha=\"0.03\", expect_size=\"20640768\"] \n  32 -> 33 [size =\"20640768\"]\n  33 [size=\"25167872\", alpha=\"0.15\", expect_size=\"12583936\"] \n  33 -> 34 [size =\"12583936\"]\n  34 [size=\"39401472\", alpha=\"0.11\", expect_size=\"19700736\"] \n  34 -> 35 [size =\"19700736\"]\n  35 [size=\"71421952\", alpha=\"0.04\", expect_size=\"35710976\"] \n  35 -> 36 [size =\"35710976\"]\n  36 [size=\"43028480\", alpha=\"0.17\", expect_size=\"21514240\"] \n  36 -> 37 [size =\"21514240\"]\n  37 [size=\"51310592\", alpha=\"0.04\", expect_size=\"25655296\"] \n  37 -> 38 [size =\"25655296\"]\n  38 [size=\"41529344\", alpha=\"0.01\", expect_size=\"20764672\"] \n  38 -> 39 [size =\"20764672\"]\n  39 [size=\"22030336\", alpha=\"0.19\", expect_size=\"11015168\"] \n  39 -> 40 [size =\"11015168\"]\n  40 [size=\"24967168\", alpha=\"0.01\", expect_size=\"12483584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42142720\", alpha=\"0.11\", expect_size=\"16857088\"] \n  1 -> 5 [size =\"16857088\"]\n  2 [size=\"74242560\", alpha=\"0.09\", expect_size=\"29697024\"] \n  2 -> 5 [size =\"29697024\"]\n  3 [size=\"115601920\", alpha=\"0.07\", expect_size=\"46240768\"] \n  3 -> 4 [size =\"46240768\"]\n  4 [size=\"57228800\", alpha=\"0.16\", expect_size=\"22891520\"] \n  4 -> 6 [size =\"22891520\"]\n  4 -> 7 [size =\"22891520\"]\n  5 [size=\"88412160\", alpha=\"0.19\", expect_size=\"35364864\"] \n  6 [size=\"41925120\", alpha=\"0.03\", expect_size=\"16770048\"] \n  6 -> 9 [size =\"16770048\"]\n  7 [size=\"119959040\", alpha=\"0.11\", expect_size=\"47983616\"] \n  7 -> 8 [size =\"47983616\"]\n  7 -> 10 [size =\"47983616\"]\n  8 [size=\"129751040\", alpha=\"0.09\", expect_size=\"51900416\"] \n  8 -> 12 [size =\"51900416\"]\n  8 -> 13 [size =\"51900416\"]\n  9 [size=\"75123200\", alpha=\"0.08\", expect_size=\"30049280\"] \n  9 -> 11 [size =\"30049280\"]\n  9 -> 12 [size =\"30049280\"]\n  9 -> 13 [size =\"30049280\"]\n  10 [size=\"123281920\", alpha=\"0.15\", expect_size=\"49312768\"] \n  11 [size=\"125959680\", alpha=\"0.07\", expect_size=\"50383872\"] \n  12 [size=\"74314240\", alpha=\"0.04\", expect_size=\"29725696\"] \n  12 -> 14 [size =\"29725696\"]\n  12 -> 15 [size =\"29725696\"]\n  13 [size=\"125772800\", alpha=\"0.07\", expect_size=\"50309120\"] \n  14 [size=\"48453120\", alpha=\"0.00\", expect_size=\"19381248\"] \n  14 -> 16 [size =\"19381248\"]\n  14 -> 17 [size =\"19381248\"]\n  15 [size=\"26700800\", alpha=\"0.12\", expect_size=\"10680320\"] \n  15 -> 17 [size =\"10680320\"]\n  16 [size=\"19668480\", alpha=\"0.09\", expect_size=\"7867392\"] \n  16 -> 19 [size =\"7867392\"]\n  16 -> 20 [size =\"7867392\"]\n  17 [size=\"35832320\", alpha=\"0.17\", expect_size=\"14332928\"] \n  17 -> 18 [size =\"14332928\"]\n  17 -> 19 [size =\"14332928\"]\n  17 -> 20 [size =\"14332928\"]\n  18 [size=\"100080640\", alpha=\"0.16\", expect_size=\"40032256\"] \n  18 -> 21 [size =\"40032256\"]\n  19 [size=\"34137600\", alpha=\"0.11\", expect_size=\"13655040\"] \n  19 -> 23 [size =\"13655040\"]\n  20 [size=\"84211200\", alpha=\"0.20\", expect_size=\"33684480\"] \n  20 -> 22 [size =\"33684480\"]\n  21 [size=\"55997440\", alpha=\"0.14\", expect_size=\"22398976\"] \n  21 -> 24 [size =\"22398976\"]\n  21 -> 25 [size =\"22398976\"]\n  21 -> 26 [size =\"22398976\"]\n  22 [size=\"98841600\", alpha=\"0.18\", expect_size=\"39536640\"] \n  23 [size=\"123599360\", alpha=\"0.20\", expect_size=\"49439744\"] \n  23 -> 24 [size =\"49439744\"]\n  23 -> 25 [size =\"49439744\"]\n  24 [size=\"45885440\", alpha=\"0.09\", expect_size=\"18354176\"] \n  24 -> 27 [size =\"18354176\"]\n  24 -> 28 [size =\"18354176\"]\n  25 [size=\"46210560\", alpha=\"0.11\", expect_size=\"18484224\"] \n  25 -> 29 [size =\"18484224\"]\n  26 [size=\"117665280\", alpha=\"0.17\", expect_size=\"47066112\"] \n  26 -> 29 [size =\"47066112\"]\n  27 [size=\"53242880\", alpha=\"0.02\", expect_size=\"21297152\"] \n  27 -> 30 [size =\"21297152\"]\n  27 -> 32 [size =\"21297152\"]\n  28 [size=\"33651200\", alpha=\"0.07\", expect_size=\"13460480\"] \n  28 -> 31 [size =\"13460480\"]\n  29 [size=\"130851840\", alpha=\"0.02\", expect_size=\"52340736\"] \n  29 -> 30 [size =\"52340736\"]\n  29 -> 31 [size =\"52340736\"]\n  29 -> 32 [size =\"52340736\"]\n  30 [size=\"75412480\", alpha=\"0.16\", expect_size=\"30164992\"] \n  31 [size=\"73180160\", alpha=\"0.09\", expect_size=\"29272064\"] \n  31 -> 33 [size =\"29272064\"]\n  32 [size=\"35230720\", alpha=\"0.13\", expect_size=\"14092288\"] \n  32 -> 33 [size =\"14092288\"]\n  32 -> 34 [size =\"14092288\"]\n  33 [size=\"22699520\", alpha=\"0.15\", expect_size=\"9079808\"] \n  33 -> 37 [size =\"9079808\"]\n  34 [size=\"20119040\", alpha=\"0.04\", expect_size=\"8047616\"] \n  34 -> 35 [size =\"8047616\"]\n  34 -> 36 [size =\"8047616\"]\n  34 -> 37 [size =\"8047616\"]\n  35 [size=\"71616000\", alpha=\"0.15\", expect_size=\"28646400\"] \n  35 -> 38 [size =\"28646400\"]\n  35 -> 39 [size =\"28646400\"]\n  36 [size=\"16560640\", alpha=\"0.07\", expect_size=\"6624256\"] \n  36 -> 39 [size =\"6624256\"]\n  37 [size=\"119705600\", alpha=\"0.02\", expect_size=\"47882240\"] \n  38 [size=\"16043520\", alpha=\"0.13\", expect_size=\"6417408\"] \n  39 [size=\"58150400\", alpha=\"0.07\", expect_size=\"23260160\"] \n  39 -> 40 [size =\"23260160\"]\n  40 [size=\"72110080\", alpha=\"0.13\", expect_size=\"28844032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85807104\", alpha=\"0.18\", expect_size=\"42903552\"] \n  1 -> 34 [size =\"42903552\"]\n  2 [size=\"90204160\", alpha=\"0.04\", expect_size=\"45102080\"] \n  2 -> 29 [size =\"45102080\"]\n  2 -> 32 [size =\"45102080\"]\n  2 -> 34 [size =\"45102080\"]\n  3 [size=\"57849856\", alpha=\"0.05\", expect_size=\"28924928\"] \n  3 -> 29 [size =\"28924928\"]\n  3 -> 35 [size =\"28924928\"]\n  3 -> 40 [size =\"28924928\"]\n  4 [size=\"38871040\", alpha=\"0.17\", expect_size=\"19435520\"] \n  4 -> 29 [size =\"19435520\"]\n  4 -> 32 [size =\"19435520\"]\n  4 -> 33 [size =\"19435520\"]\n  5 [size=\"87091200\", alpha=\"0.02\", expect_size=\"43545600\"] \n  5 -> 29 [size =\"43545600\"]\n  5 -> 33 [size =\"43545600\"]\n  6 [size=\"69144576\", alpha=\"0.07\", expect_size=\"34572288\"] \n  6 -> 29 [size =\"34572288\"]\n  6 -> 30 [size =\"34572288\"]\n  6 -> 33 [size =\"34572288\"]\n  6 -> 40 [size =\"34572288\"]\n  7 [size=\"55799808\", alpha=\"0.15\", expect_size=\"27899904\"] \n  7 -> 30 [size =\"27899904\"]\n  7 -> 30 [size =\"27899904\"]\n  7 -> 34 [size =\"27899904\"]\n  7 -> 36 [size =\"27899904\"]\n  7 -> 38 [size =\"27899904\"]\n  7 -> 40 [size =\"27899904\"]\n  8 [size=\"91652096\", alpha=\"0.06\", expect_size=\"45826048\"] \n  8 -> 30 [size =\"45826048\"]\n  8 -> 32 [size =\"45826048\"]\n  8 -> 33 [size =\"45826048\"]\n  8 -> 35 [size =\"45826048\"]\n  8 -> 36 [size =\"45826048\"]\n  8 -> 39 [size =\"45826048\"]\n  9 [size=\"63795200\", alpha=\"0.06\", expect_size=\"31897600\"] \n  9 -> 32 [size =\"31897600\"]\n  10 [size=\"77596672\", alpha=\"0.02\", expect_size=\"38798336\"] \n  10 -> 29 [size =\"38798336\"]\n  10 -> 30 [size =\"38798336\"]\n  10 -> 33 [size =\"38798336\"]\n  10 -> 34 [size =\"38798336\"]\n  10 -> 35 [size =\"38798336\"]\n  11 [size=\"36777984\", alpha=\"0.08\", expect_size=\"18388992\"] \n  11 -> 31 [size =\"18388992\"]\n  11 -> 32 [size =\"18388992\"]\n  11 -> 33 [size =\"18388992\"]\n  11 -> 34 [size =\"18388992\"]\n  11 -> 35 [size =\"18388992\"]\n  11 -> 39 [size =\"18388992\"]\n  12 [size=\"26886144\", alpha=\"0.04\", expect_size=\"13443072\"] \n  12 -> 30 [size =\"13443072\"]\n  12 -> 33 [size =\"13443072\"]\n  12 -> 35 [size =\"13443072\"]\n  13 [size=\"45238272\", alpha=\"0.18\", expect_size=\"22619136\"] \n  13 -> 29 [size =\"22619136\"]\n  13 -> 30 [size =\"22619136\"]\n  13 -> 34 [size =\"22619136\"]\n  13 -> 35 [size =\"22619136\"]\n  14 [size=\"66772992\", alpha=\"0.13\", expect_size=\"33386496\"] \n  14 -> 29 [size =\"33386496\"]\n  14 -> 30 [size =\"33386496\"]\n  14 -> 34 [size =\"33386496\"]\n  14 -> 40 [size =\"33386496\"]\n  15 [size=\"51728384\", alpha=\"0.11\", expect_size=\"25864192\"] \n  15 -> 29 [size =\"25864192\"]\n  15 -> 30 [size =\"25864192\"]\n  15 -> 33 [size =\"25864192\"]\n  15 -> 35 [size =\"25864192\"]\n  15 -> 40 [size =\"25864192\"]\n  16 [size=\"61151232\", alpha=\"0.10\", expect_size=\"30575616\"] \n  16 -> 29 [size =\"30575616\"]\n  16 -> 30 [size =\"30575616\"]\n  16 -> 33 [size =\"30575616\"]\n  16 -> 35 [size =\"30575616\"]\n  16 -> 40 [size =\"30575616\"]\n  17 [size=\"92354560\", alpha=\"0.11\", expect_size=\"46177280\"] \n  17 -> 29 [size =\"46177280\"]\n  17 -> 30 [size =\"46177280\"]\n  17 -> 33 [size =\"46177280\"]\n  17 -> 36 [size =\"46177280\"]\n  17 -> 40 [size =\"46177280\"]\n  18 [size=\"69808128\", alpha=\"0.16\", expect_size=\"34904064\"] \n  18 -> 30 [size =\"34904064\"]\n  18 -> 33 [size =\"34904064\"]\n  18 -> 34 [size =\"34904064\"]\n  19 [size=\"99700736\", alpha=\"0.10\", expect_size=\"49850368\"] \n  19 -> 33 [size =\"49850368\"]\n  19 -> 33 [size =\"49850368\"]\n  19 -> 34 [size =\"49850368\"]\n  19 -> 39 [size =\"49850368\"]\n  20 [size=\"34066432\", alpha=\"0.13\", expect_size=\"17033216\"] \n  20 -> 29 [size =\"17033216\"]\n  20 -> 30 [size =\"17033216\"]\n  20 -> 33 [size =\"17033216\"]\n  20 -> 35 [size =\"17033216\"]\n  20 -> 36 [size =\"17033216\"]\n  21 [size=\"45733888\", alpha=\"0.12\", expect_size=\"22866944\"] \n  21 -> 29 [size =\"22866944\"]\n  21 -> 30 [size =\"22866944\"]\n  21 -> 33 [size =\"22866944\"]\n  21 -> 35 [size =\"22866944\"]\n  21 -> 36 [size =\"22866944\"]\n  22 [size=\"85471232\", alpha=\"0.08\", expect_size=\"42735616\"] \n  22 -> 29 [size =\"42735616\"]\n  22 -> 30 [size =\"42735616\"]\n  22 -> 32 [size =\"42735616\"]\n  22 -> 33 [size =\"42735616\"]\n  22 -> 34 [size =\"42735616\"]\n  22 -> 36 [size =\"42735616\"]\n  23 [size=\"11960320\", alpha=\"0.14\", expect_size=\"5980160\"] \n  23 -> 33 [size =\"5980160\"]\n  23 -> 34 [size =\"5980160\"]\n  23 -> 36 [size =\"5980160\"]\n  24 [size=\"98912256\", alpha=\"0.06\", expect_size=\"49456128\"] \n  24 -> 29 [size =\"49456128\"]\n  24 -> 30 [size =\"49456128\"]\n  24 -> 34 [size =\"49456128\"]\n  25 [size=\"63533056\", alpha=\"0.14\", expect_size=\"31766528\"] \n  25 -> 29 [size =\"31766528\"]\n  25 -> 30 [size =\"31766528\"]\n  25 -> 31 [size =\"31766528\"]\n  25 -> 33 [size =\"31766528\"]\n  25 -> 40 [size =\"31766528\"]\n  26 [size=\"21889024\", alpha=\"0.15\", expect_size=\"10944512\"] \n  26 -> 29 [size =\"10944512\"]\n  26 -> 30 [size =\"10944512\"]\n  26 -> 36 [size =\"10944512\"]\n  27 [size=\"68837376\", alpha=\"0.05\", expect_size=\"34418688\"] \n  27 -> 30 [size =\"34418688\"]\n  27 -> 32 [size =\"34418688\"]\n  27 -> 34 [size =\"34418688\"]\n  27 -> 35 [size =\"34418688\"]\n  27 -> 40 [size =\"34418688\"]\n  28 [size=\"24532992\", alpha=\"0.13\", expect_size=\"12266496\"] \n  28 -> 29 [size =\"12266496\"]\n  28 -> 30 [size =\"12266496\"]\n  28 -> 32 [size =\"12266496\"]\n  28 -> 33 [size =\"12266496\"]\n  28 -> 34 [size =\"12266496\"]\n  28 -> 37 [size =\"12266496\"]\n  28 -> 40 [size =\"12266496\"]\n  29 [size=\"101965824\", alpha=\"0.11\", expect_size=\"50982912\"] \n  30 [size=\"55793664\", alpha=\"0.04\", expect_size=\"27896832\"] \n  31 [size=\"24057856\", alpha=\"0.03\", expect_size=\"12028928\"] \n  32 [size=\"82079744\", alpha=\"0.05\", expect_size=\"41039872\"] \n  33 [size=\"26464256\", alpha=\"0.14\", expect_size=\"13232128\"] \n  34 [size=\"93319168\", alpha=\"0.16\", expect_size=\"46659584\"] \n  35 [size=\"27916288\", alpha=\"0.06\", expect_size=\"13958144\"] \n  36 [size=\"95604736\", alpha=\"0.06\", expect_size=\"47802368\"] \n  37 [size=\"71929856\", alpha=\"0.05\", expect_size=\"35964928\"] \n  38 [size=\"96577536\", alpha=\"0.15\", expect_size=\"48288768\"] \n  39 [size=\"61970432\", alpha=\"0.05\", expect_size=\"30985216\"] \n  40 [size=\"21422080\", alpha=\"0.19\", expect_size=\"10711040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103324160\", alpha=\"0.00\", expect_size=\"41329664\"] \n  1 -> 13 [size =\"41329664\"]\n  1 -> 17 [size =\"41329664\"]\n  1 -> 20 [size =\"41329664\"]\n  1 -> 22 [size =\"41329664\"]\n  1 -> 25 [size =\"41329664\"]\n  2 [size=\"105889280\", alpha=\"0.07\", expect_size=\"42355712\"] \n  2 -> 13 [size =\"42355712\"]\n  2 -> 14 [size =\"42355712\"]\n  2 -> 19 [size =\"42355712\"]\n  2 -> 23 [size =\"42355712\"]\n  3 [size=\"101544960\", alpha=\"0.00\", expect_size=\"40617984\"] \n  3 -> 10 [size =\"40617984\"]\n  3 -> 11 [size =\"40617984\"]\n  3 -> 13 [size =\"40617984\"]\n  3 -> 15 [size =\"40617984\"]\n  3 -> 17 [size =\"40617984\"]\n  3 -> 19 [size =\"40617984\"]\n  3 -> 20 [size =\"40617984\"]\n  3 -> 21 [size =\"40617984\"]\n  3 -> 22 [size =\"40617984\"]\n  3 -> 23 [size =\"40617984\"]\n  3 -> 24 [size =\"40617984\"]\n  3 -> 25 [size =\"40617984\"]\n  4 [size=\"65891840\", alpha=\"0.17\", expect_size=\"26356736\"] \n  4 -> 12 [size =\"26356736\"]\n  4 -> 15 [size =\"26356736\"]\n  4 -> 18 [size =\"26356736\"]\n  4 -> 19 [size =\"26356736\"]\n  4 -> 20 [size =\"26356736\"]\n  4 -> 23 [size =\"26356736\"]\n  4 -> 24 [size =\"26356736\"]\n  4 -> 25 [size =\"26356736\"]\n  5 [size=\"127214080\", alpha=\"0.07\", expect_size=\"50885632\"] \n  5 -> 10 [size =\"50885632\"]\n  5 -> 11 [size =\"50885632\"]\n  5 -> 12 [size =\"50885632\"]\n  5 -> 13 [size =\"50885632\"]\n  5 -> 16 [size =\"50885632\"]\n  5 -> 19 [size =\"50885632\"]\n  5 -> 20 [size =\"50885632\"]\n  5 -> 23 [size =\"50885632\"]\n  6 [size=\"90926080\", alpha=\"0.03\", expect_size=\"36370432\"] \n  6 -> 10 [size =\"36370432\"]\n  6 -> 11 [size =\"36370432\"]\n  7 [size=\"33564160\", alpha=\"0.05\", expect_size=\"13425664\"] \n  7 -> 11 [size =\"13425664\"]\n  7 -> 24 [size =\"13425664\"]\n  7 -> 25 [size =\"13425664\"]\n  8 [size=\"46563840\", alpha=\"0.02\", expect_size=\"18625536\"] \n  8 -> 12 [size =\"18625536\"]\n  8 -> 15 [size =\"18625536\"]\n  8 -> 16 [size =\"18625536\"]\n  8 -> 19 [size =\"18625536\"]\n  8 -> 22 [size =\"18625536\"]\n  8 -> 24 [size =\"18625536\"]\n  9 [size=\"131036160\", alpha=\"0.08\", expect_size=\"52414464\"] \n  9 -> 11 [size =\"52414464\"]\n  9 -> 12 [size =\"52414464\"]\n  9 -> 13 [size =\"52414464\"]\n  9 -> 15 [size =\"52414464\"]\n  9 -> 19 [size =\"52414464\"]\n  9 -> 20 [size =\"52414464\"]\n  9 -> 23 [size =\"52414464\"]\n  9 -> 25 [size =\"52414464\"]\n  10 [size=\"17548800\", alpha=\"0.16\", expect_size=\"7019520\"] \n  10 -> 26 [size =\"7019520\"]\n  10 -> 28 [size =\"7019520\"]\n  10 -> 29 [size =\"7019520\"]\n  10 -> 31 [size =\"7019520\"]\n  10 -> 32 [size =\"7019520\"]\n  10 -> 34 [size =\"7019520\"]\n  11 [size=\"69463040\", alpha=\"0.12\", expect_size=\"27785216\"] \n  11 -> 28 [size =\"27785216\"]\n  11 -> 28 [size =\"27785216\"]\n  11 -> 31 [size =\"27785216\"]\n  11 -> 34 [size =\"27785216\"]\n  12 [size=\"72391680\", alpha=\"0.14\", expect_size=\"28956672\"] \n  12 -> 26 [size =\"28956672\"]\n  12 -> 36 [size =\"28956672\"]\n  13 [size=\"116372480\", alpha=\"0.06\", expect_size=\"46548992\"] \n  13 -> 27 [size =\"46548992\"]\n  13 -> 36 [size =\"46548992\"]\n  14 [size=\"117552640\", alpha=\"0.02\", expect_size=\"47021056\"] \n  14 -> 30 [size =\"47021056\"]\n  14 -> 36 [size =\"47021056\"]\n  15 [size=\"100677120\", alpha=\"0.05\", expect_size=\"40270848\"] \n  15 -> 26 [size =\"40270848\"]\n  15 -> 28 [size =\"40270848\"]\n  15 -> 31 [size =\"40270848\"]\n  15 -> 35 [size =\"40270848\"]\n  15 -> 36 [size =\"40270848\"]\n  16 [size=\"21624320\", alpha=\"0.08\", expect_size=\"8649728\"] \n  16 -> 26 [size =\"8649728\"]\n  16 -> 30 [size =\"8649728\"]\n  16 -> 33 [size =\"8649728\"]\n  16 -> 35 [size =\"8649728\"]\n  17 [size=\"38935040\", alpha=\"0.00\", expect_size=\"15574016\"] \n  17 -> 27 [size =\"15574016\"]\n  17 -> 28 [size =\"15574016\"]\n  17 -> 33 [size =\"15574016\"]\n  17 -> 34 [size =\"15574016\"]\n  18 [size=\"69017600\", alpha=\"0.10\", expect_size=\"27607040\"] \n  18 -> 26 [size =\"27607040\"]\n  18 -> 28 [size =\"27607040\"]\n  18 -> 34 [size =\"27607040\"]\n  18 -> 36 [size =\"27607040\"]\n  18 -> 37 [size =\"27607040\"]\n  19 [size=\"79360000\", alpha=\"0.17\", expect_size=\"31744000\"] \n  19 -> 27 [size =\"31744000\"]\n  19 -> 34 [size =\"31744000\"]\n  20 [size=\"125611520\", alpha=\"0.01\", expect_size=\"50244608\"] \n  20 -> 26 [size =\"50244608\"]\n  20 -> 27 [size =\"50244608\"]\n  20 -> 28 [size =\"50244608\"]\n  20 -> 29 [size =\"50244608\"]\n  20 -> 34 [size =\"50244608\"]\n  21 [size=\"101560320\", alpha=\"0.01\", expect_size=\"40624128\"] \n  21 -> 27 [size =\"40624128\"]\n  21 -> 31 [size =\"40624128\"]\n  21 -> 32 [size =\"40624128\"]\n  21 -> 36 [size =\"40624128\"]\n  22 [size=\"52382720\", alpha=\"0.17\", expect_size=\"20953088\"] \n  22 -> 32 [size =\"20953088\"]\n  22 -> 33 [size =\"20953088\"]\n  23 [size=\"16606720\", alpha=\"0.08\", expect_size=\"6642688\"] \n  23 -> 26 [size =\"6642688\"]\n  23 -> 28 [size =\"6642688\"]\n  23 -> 29 [size =\"6642688\"]\n  23 -> 31 [size =\"6642688\"]\n  24 [size=\"54607360\", alpha=\"0.08\", expect_size=\"21842944\"] \n  24 -> 28 [size =\"21842944\"]\n  24 -> 29 [size =\"21842944\"]\n  24 -> 36 [size =\"21842944\"]\n  25 [size=\"68538880\", alpha=\"0.07\", expect_size=\"27415552\"] \n  25 -> 28 [size =\"27415552\"]\n  25 -> 29 [size =\"27415552\"]\n  25 -> 32 [size =\"27415552\"]\n  25 -> 34 [size =\"27415552\"]\n  26 [size=\"100321280\", alpha=\"0.19\", expect_size=\"40128512\"] \n  26 -> 40 [size =\"40128512\"]\n  27 [size=\"29058560\", alpha=\"0.15\", expect_size=\"11623424\"] \n  27 -> 40 [size =\"11623424\"]\n  28 [size=\"29089280\", alpha=\"0.16\", expect_size=\"11635712\"] \n  29 [size=\"86584320\", alpha=\"0.17\", expect_size=\"34633728\"] \n  29 -> 38 [size =\"34633728\"]\n  30 [size=\"66501120\", alpha=\"0.20\", expect_size=\"26600448\"] \n  30 -> 38 [size =\"26600448\"]\n  30 -> 40 [size =\"26600448\"]\n  31 [size=\"74396160\", alpha=\"0.11\", expect_size=\"29758464\"] \n  31 -> 38 [size =\"29758464\"]\n  32 [size=\"82519040\", alpha=\"0.13\", expect_size=\"33007616\"] \n  32 -> 38 [size =\"33007616\"]\n  32 -> 40 [size =\"33007616\"]\n  33 [size=\"65687040\", alpha=\"0.12\", expect_size=\"26274816\"] \n  33 -> 38 [size =\"26274816\"]\n  33 -> 39 [size =\"26274816\"]\n  33 -> 40 [size =\"26274816\"]\n  34 [size=\"112340480\", alpha=\"0.09\", expect_size=\"44936192\"] \n  34 -> 38 [size =\"44936192\"]\n  35 [size=\"39339520\", alpha=\"0.01\", expect_size=\"15735808\"] \n  36 [size=\"78755840\", alpha=\"0.14\", expect_size=\"31502336\"] \n  36 -> 38 [size =\"31502336\"]\n  36 -> 39 [size =\"31502336\"]\n  36 -> 40 [size =\"31502336\"]\n  37 [size=\"72478720\", alpha=\"0.12\", expect_size=\"28991488\"] \n  37 -> 40 [size =\"28991488\"]\n  38 [size=\"40965120\", alpha=\"0.19\", expect_size=\"16386048\"] \n  39 [size=\"17679360\", alpha=\"0.17\", expect_size=\"7071744\"] \n  40 [size=\"120545280\", alpha=\"0.15\", expect_size=\"48218112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38782293\", alpha=\"0.05\", expect_size=\"11634688\"] \n  1 -> 10 [size =\"11634688\"]\n  1 -> 11 [size =\"11634688\"]\n  1 -> 17 [size =\"11634688\"]\n  1 -> 18 [size =\"11634688\"]\n  1 -> 19 [size =\"11634688\"]\n  1 -> 20 [size =\"11634688\"]\n  2 [size=\"155825493\", alpha=\"0.01\", expect_size=\"46747648\"] \n  2 -> 10 [size =\"46747648\"]\n  2 -> 13 [size =\"46747648\"]\n  2 -> 17 [size =\"46747648\"]\n  2 -> 19 [size =\"46747648\"]\n  2 -> 21 [size =\"46747648\"]\n  2 -> 24 [size =\"46747648\"]\n  3 [size=\"138922667\", alpha=\"0.06\", expect_size=\"41676800\"] \n  3 -> 11 [size =\"41676800\"]\n  3 -> 14 [size =\"41676800\"]\n  3 -> 15 [size =\"41676800\"]\n  3 -> 16 [size =\"41676800\"]\n  3 -> 18 [size =\"41676800\"]\n  3 -> 19 [size =\"41676800\"]\n  3 -> 22 [size =\"41676800\"]\n  3 -> 23 [size =\"41676800\"]\n  4 [size=\"26132480\", alpha=\"0.16\", expect_size=\"7839744\"] \n  4 -> 12 [size =\"7839744\"]\n  4 -> 15 [size =\"7839744\"]\n  4 -> 16 [size =\"7839744\"]\n  4 -> 18 [size =\"7839744\"]\n  4 -> 19 [size =\"7839744\"]\n  4 -> 23 [size =\"7839744\"]\n  5 [size=\"70188373\", alpha=\"0.14\", expect_size=\"21056512\"] \n  5 -> 11 [size =\"21056512\"]\n  5 -> 12 [size =\"21056512\"]\n  5 -> 13 [size =\"21056512\"]\n  5 -> 15 [size =\"21056512\"]\n  5 -> 18 [size =\"21056512\"]\n  5 -> 20 [size =\"21056512\"]\n  5 -> 23 [size =\"21056512\"]\n  5 -> 24 [size =\"21056512\"]\n  6 [size=\"94337707\", alpha=\"0.05\", expect_size=\"28301312\"] \n  6 -> 10 [size =\"28301312\"]\n  6 -> 11 [size =\"28301312\"]\n  6 -> 12 [size =\"28301312\"]\n  6 -> 13 [size =\"28301312\"]\n  6 -> 14 [size =\"28301312\"]\n  6 -> 15 [size =\"28301312\"]\n  6 -> 20 [size =\"28301312\"]\n  6 -> 22 [size =\"28301312\"]\n  6 -> 23 [size =\"28301312\"]\n  7 [size=\"30859947\", alpha=\"0.04\", expect_size=\"9257984\"] \n  7 -> 13 [size =\"9257984\"]\n  7 -> 14 [size =\"9257984\"]\n  7 -> 17 [size =\"9257984\"]\n  7 -> 20 [size =\"9257984\"]\n  7 -> 22 [size =\"9257984\"]\n  7 -> 23 [size =\"9257984\"]\n  8 [size=\"135304533\", alpha=\"0.20\", expect_size=\"40591360\"] \n  8 -> 10 [size =\"40591360\"]\n  8 -> 12 [size =\"40591360\"]\n  8 -> 14 [size =\"40591360\"]\n  8 -> 15 [size =\"40591360\"]\n  8 -> 16 [size =\"40591360\"]\n  8 -> 17 [size =\"40591360\"]\n  8 -> 18 [size =\"40591360\"]\n  8 -> 20 [size =\"40591360\"]\n  9 [size=\"47769600\", alpha=\"0.13\", expect_size=\"14330880\"] \n  9 -> 10 [size =\"14330880\"]\n  9 -> 13 [size =\"14330880\"]\n  9 -> 14 [size =\"14330880\"]\n  9 -> 15 [size =\"14330880\"]\n  9 -> 17 [size =\"14330880\"]\n  9 -> 20 [size =\"14330880\"]\n  10 [size=\"87995733\", alpha=\"0.13\", expect_size=\"26398720\"] \n  10 -> 25 [size =\"26398720\"]\n  10 -> 28 [size =\"26398720\"]\n  11 [size=\"22169600\", alpha=\"0.17\", expect_size=\"6650880\"] \n  11 -> 25 [size =\"6650880\"]\n  11 -> 28 [size =\"6650880\"]\n  11 -> 30 [size =\"6650880\"]\n  12 [size=\"61221547\", alpha=\"0.02\", expect_size=\"18366464\"] \n  13 [size=\"68113067\", alpha=\"0.01\", expect_size=\"20433920\"] \n  13 -> 25 [size =\"20433920\"]\n  13 -> 28 [size =\"20433920\"]\n  14 [size=\"117599573\", alpha=\"0.07\", expect_size=\"35279872\"] \n  14 -> 25 [size =\"35279872\"]\n  14 -> 29 [size =\"35279872\"]\n  15 [size=\"82783573\", alpha=\"0.00\", expect_size=\"24835072\"] \n  15 -> 25 [size =\"24835072\"]\n  16 [size=\"38645760\", alpha=\"0.16\", expect_size=\"11593728\"] \n  16 -> 25 [size =\"11593728\"]\n  16 -> 30 [size =\"11593728\"]\n  17 [size=\"79394133\", alpha=\"0.13\", expect_size=\"23818240\"] \n  17 -> 25 [size =\"23818240\"]\n  17 -> 29 [size =\"23818240\"]\n  18 [size=\"113844907\", alpha=\"0.11\", expect_size=\"34153472\"] \n  18 -> 25 [size =\"34153472\"]\n  18 -> 26 [size =\"34153472\"]\n  18 -> 28 [size =\"34153472\"]\n  19 [size=\"111438507\", alpha=\"0.01\", expect_size=\"33431552\"] \n  19 -> 25 [size =\"33431552\"]\n  19 -> 29 [size =\"33431552\"]\n  20 [size=\"53500587\", alpha=\"0.05\", expect_size=\"16050176\"] \n  20 -> 30 [size =\"16050176\"]\n  21 [size=\"154596693\", alpha=\"0.12\", expect_size=\"46379008\"] \n  22 [size=\"134727680\", alpha=\"0.16\", expect_size=\"40418304\"] \n  22 -> 29 [size =\"40418304\"]\n  23 [size=\"150630400\", alpha=\"0.16\", expect_size=\"45189120\"] \n  23 -> 27 [size =\"45189120\"]\n  23 -> 29 [size =\"45189120\"]\n  24 [size=\"159092053\", alpha=\"0.17\", expect_size=\"47727616\"] \n  24 -> 27 [size =\"47727616\"]\n  25 [size=\"54865920\", alpha=\"0.05\", expect_size=\"16459776\"] \n  25 -> 31 [size =\"16459776\"]\n  25 -> 32 [size =\"16459776\"]\n  25 -> 33 [size =\"16459776\"]\n  25 -> 35 [size =\"16459776\"]\n  25 -> 38 [size =\"16459776\"]\n  26 [size=\"58415787\", alpha=\"0.02\", expect_size=\"17524736\"] \n  26 -> 31 [size =\"17524736\"]\n  26 -> 32 [size =\"17524736\"]\n  26 -> 34 [size =\"17524736\"]\n  26 -> 35 [size =\"17524736\"]\n  27 [size=\"27013120\", alpha=\"0.01\", expect_size=\"8103936\"] \n  27 -> 34 [size =\"8103936\"]\n  27 -> 35 [size =\"8103936\"]\n  27 -> 36 [size =\"8103936\"]\n  27 -> 37 [size =\"8103936\"]\n  27 -> 39 [size =\"8103936\"]\n  28 [size=\"130024107\", alpha=\"0.15\", expect_size=\"39007232\"] \n  28 -> 33 [size =\"39007232\"]\n  29 [size=\"62583467\", alpha=\"0.13\", expect_size=\"18775040\"] \n  29 -> 38 [size =\"18775040\"]\n  29 -> 40 [size =\"18775040\"]\n  30 [size=\"70898347\", alpha=\"0.00\", expect_size=\"21269504\"] \n  30 -> 31 [size =\"21269504\"]\n  30 -> 34 [size =\"21269504\"]\n  30 -> 38 [size =\"21269504\"]\n  30 -> 39 [size =\"21269504\"]\n  31 [size=\"111435093\", alpha=\"0.08\", expect_size=\"33430528\"] \n  32 [size=\"48213333\", alpha=\"0.01\", expect_size=\"14464000\"] \n  33 [size=\"19585707\", alpha=\"0.00\", expect_size=\"5875712\"] \n  34 [size=\"147002027\", alpha=\"0.13\", expect_size=\"44100608\"] \n  35 [size=\"124549120\", alpha=\"0.13\", expect_size=\"37364736\"] \n  36 [size=\"162225493\", alpha=\"0.17\", expect_size=\"48667648\"] \n  37 [size=\"22319787\", alpha=\"0.08\", expect_size=\"6695936\"] \n  38 [size=\"32788480\", alpha=\"0.11\", expect_size=\"9836544\"] \n  39 [size=\"154180267\", alpha=\"0.06\", expect_size=\"46254080\"] \n  40 [size=\"102219093\", alpha=\"0.06\", expect_size=\"30665728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81324032\", alpha=\"0.15\", expect_size=\"40662016\"] \n  1 -> 2 [size =\"40662016\"]\n  2 [size=\"92274688\", alpha=\"0.01\", expect_size=\"46137344\"] \n  2 -> 3 [size =\"46137344\"]\n  3 [size=\"63635456\", alpha=\"0.15\", expect_size=\"31817728\"] \n  3 -> 4 [size =\"31817728\"]\n  4 [size=\"73474048\", alpha=\"0.13\", expect_size=\"36737024\"] \n  4 -> 5 [size =\"36737024\"]\n  5 [size=\"13625344\", alpha=\"0.05\", expect_size=\"6812672\"] \n  5 -> 6 [size =\"6812672\"]\n  6 [size=\"77449216\", alpha=\"0.12\", expect_size=\"38724608\"] \n  6 -> 7 [size =\"38724608\"]\n  7 [size=\"65515520\", alpha=\"0.14\", expect_size=\"32757760\"] \n  7 -> 8 [size =\"32757760\"]\n  8 [size=\"52422656\", alpha=\"0.07\", expect_size=\"26211328\"] \n  8 -> 9 [size =\"26211328\"]\n  9 [size=\"50282496\", alpha=\"0.01\", expect_size=\"25141248\"] \n  9 -> 10 [size =\"25141248\"]\n  10 [size=\"64395264\", alpha=\"0.13\", expect_size=\"32197632\"] \n  10 -> 11 [size =\"32197632\"]\n  11 [size=\"63225856\", alpha=\"0.12\", expect_size=\"31612928\"] \n  11 -> 12 [size =\"31612928\"]\n  12 [size=\"40933376\", alpha=\"0.03\", expect_size=\"20466688\"] \n  12 -> 13 [size =\"20466688\"]\n  13 [size=\"43784192\", alpha=\"0.19\", expect_size=\"21892096\"] \n  13 -> 14 [size =\"21892096\"]\n  14 [size=\"19597312\", alpha=\"0.11\", expect_size=\"9798656\"] \n  14 -> 15 [size =\"9798656\"]\n  15 [size=\"82442240\", alpha=\"0.12\", expect_size=\"41221120\"] \n  15 -> 16 [size =\"41221120\"]\n  16 [size=\"12849152\", alpha=\"0.08\", expect_size=\"6424576\"] \n  16 -> 17 [size =\"6424576\"]\n  17 [size=\"69300224\", alpha=\"0.11\", expect_size=\"34650112\"] \n  17 -> 18 [size =\"34650112\"]\n  18 [size=\"41682944\", alpha=\"0.11\", expect_size=\"20841472\"] \n  18 -> 19 [size =\"20841472\"]\n  19 [size=\"76204032\", alpha=\"0.13\", expect_size=\"38102016\"] \n  19 -> 20 [size =\"38102016\"]\n  20 [size=\"78823424\", alpha=\"0.05\", expect_size=\"39411712\"] \n  20 -> 21 [size =\"39411712\"]\n  21 [size=\"46663680\", alpha=\"0.13\", expect_size=\"23331840\"] \n  21 -> 22 [size =\"23331840\"]\n  22 [size=\"101548032\", alpha=\"0.17\", expect_size=\"50774016\"] \n  22 -> 23 [size =\"50774016\"]\n  23 [size=\"22480896\", alpha=\"0.13\", expect_size=\"11240448\"] \n  23 -> 24 [size =\"11240448\"]\n  24 [size=\"16885760\", alpha=\"0.03\", expect_size=\"8442880\"] \n  24 -> 25 [size =\"8442880\"]\n  25 [size=\"66988032\", alpha=\"0.13\", expect_size=\"33494016\"] \n  25 -> 26 [size =\"33494016\"]\n  26 [size=\"30277632\", alpha=\"0.17\", expect_size=\"15138816\"] \n  26 -> 27 [size =\"15138816\"]\n  27 [size=\"67801088\", alpha=\"0.13\", expect_size=\"33900544\"] \n  27 -> 28 [size =\"33900544\"]\n  28 [size=\"26308608\", alpha=\"0.18\", expect_size=\"13154304\"] \n  28 -> 29 [size =\"13154304\"]\n  29 [size=\"80199680\", alpha=\"0.11\", expect_size=\"40099840\"] \n  29 -> 30 [size =\"40099840\"]\n  30 [size=\"47243264\", alpha=\"0.15\", expect_size=\"23621632\"] \n  30 -> 31 [size =\"23621632\"]\n  31 [size=\"72630272\", alpha=\"0.11\", expect_size=\"36315136\"] \n  31 -> 32 [size =\"36315136\"]\n  32 [size=\"38455296\", alpha=\"0.13\", expect_size=\"19227648\"] \n  32 -> 33 [size =\"19227648\"]\n  33 [size=\"26511360\", alpha=\"0.03\", expect_size=\"13255680\"] \n  33 -> 34 [size =\"13255680\"]\n  34 [size=\"89948160\", alpha=\"0.14\", expect_size=\"44974080\"] \n  34 -> 35 [size =\"44974080\"]\n  35 [size=\"103010304\", alpha=\"0.00\", expect_size=\"51505152\"] \n  35 -> 36 [size =\"51505152\"]\n  36 [size=\"68839424\", alpha=\"0.07\", expect_size=\"34419712\"] \n  36 -> 37 [size =\"34419712\"]\n  37 [size=\"54398976\", alpha=\"0.07\", expect_size=\"27199488\"] \n  37 -> 38 [size =\"27199488\"]\n  38 [size=\"20348928\", alpha=\"0.13\", expect_size=\"10174464\"] \n  38 -> 39 [size =\"10174464\"]\n  39 [size=\"102998016\", alpha=\"0.13\", expect_size=\"51499008\"] \n  39 -> 40 [size =\"51499008\"]\n  40 [size=\"59025408\", alpha=\"0.07\", expect_size=\"29512704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39511040\", alpha=\"0.07\", expect_size=\"15804416\"] \n  1 -> 32 [size =\"15804416\"]\n  1 -> 35 [size =\"15804416\"]\n  1 -> 36 [size =\"15804416\"]\n  1 -> 37 [size =\"15804416\"]\n  1 -> 39 [size =\"15804416\"]\n  2 [size=\"26872320\", alpha=\"0.01\", expect_size=\"10748928\"] \n  2 -> 29 [size =\"10748928\"]\n  2 -> 37 [size =\"10748928\"]\n  2 -> 39 [size =\"10748928\"]\n  2 -> 40 [size =\"10748928\"]\n  3 [size=\"125440000\", alpha=\"0.16\", expect_size=\"50176000\"] \n  3 -> 29 [size =\"50176000\"]\n  3 -> 30 [size =\"50176000\"]\n  3 -> 34 [size =\"50176000\"]\n  3 -> 35 [size =\"50176000\"]\n  3 -> 36 [size =\"50176000\"]\n  3 -> 37 [size =\"50176000\"]\n  3 -> 38 [size =\"50176000\"]\n  3 -> 40 [size =\"50176000\"]\n  4 [size=\"84318720\", alpha=\"0.05\", expect_size=\"33727488\"] \n  4 -> 29 [size =\"33727488\"]\n  4 -> 30 [size =\"33727488\"]\n  4 -> 32 [size =\"33727488\"]\n  4 -> 33 [size =\"33727488\"]\n  4 -> 35 [size =\"33727488\"]\n  4 -> 37 [size =\"33727488\"]\n  4 -> 38 [size =\"33727488\"]\n  4 -> 40 [size =\"33727488\"]\n  5 [size=\"43048960\", alpha=\"0.01\", expect_size=\"17219584\"] \n  5 -> 30 [size =\"17219584\"]\n  5 -> 32 [size =\"17219584\"]\n  5 -> 33 [size =\"17219584\"]\n  5 -> 37 [size =\"17219584\"]\n  6 [size=\"42216960\", alpha=\"0.13\", expect_size=\"16886784\"] \n  6 -> 29 [size =\"16886784\"]\n  6 -> 30 [size =\"16886784\"]\n  6 -> 33 [size =\"16886784\"]\n  6 -> 36 [size =\"16886784\"]\n  6 -> 38 [size =\"16886784\"]\n  7 [size=\"21634560\", alpha=\"0.08\", expect_size=\"8653824\"] \n  7 -> 29 [size =\"8653824\"]\n  7 -> 33 [size =\"8653824\"]\n  7 -> 36 [size =\"8653824\"]\n  7 -> 38 [size =\"8653824\"]\n  8 [size=\"112770560\", alpha=\"0.13\", expect_size=\"45108224\"] \n  8 -> 31 [size =\"45108224\"]\n  8 -> 33 [size =\"45108224\"]\n  8 -> 36 [size =\"45108224\"]\n  8 -> 37 [size =\"45108224\"]\n  9 [size=\"102983680\", alpha=\"0.01\", expect_size=\"41193472\"] \n  9 -> 33 [size =\"41193472\"]\n  9 -> 36 [size =\"41193472\"]\n  9 -> 36 [size =\"41193472\"]\n  9 -> 38 [size =\"41193472\"]\n  10 [size=\"100915200\", alpha=\"0.15\", expect_size=\"40366080\"] \n  10 -> 29 [size =\"40366080\"]\n  10 -> 30 [size =\"40366080\"]\n  10 -> 32 [size =\"40366080\"]\n  10 -> 35 [size =\"40366080\"]\n  10 -> 38 [size =\"40366080\"]\n  10 -> 40 [size =\"40366080\"]\n  11 [size=\"86330880\", alpha=\"0.02\", expect_size=\"34532352\"] \n  11 -> 35 [size =\"34532352\"]\n  11 -> 40 [size =\"34532352\"]\n  12 [size=\"130278400\", alpha=\"0.16\", expect_size=\"52111360\"] \n  12 -> 29 [size =\"52111360\"]\n  12 -> 35 [size =\"52111360\"]\n  12 -> 38 [size =\"52111360\"]\n  13 [size=\"19486720\", alpha=\"0.04\", expect_size=\"7794688\"] \n  13 -> 30 [size =\"7794688\"]\n  13 -> 32 [size =\"7794688\"]\n  13 -> 33 [size =\"7794688\"]\n  13 -> 34 [size =\"7794688\"]\n  13 -> 35 [size =\"7794688\"]\n  13 -> 36 [size =\"7794688\"]\n  13 -> 37 [size =\"7794688\"]\n  13 -> 38 [size =\"7794688\"]\n  13 -> 39 [size =\"7794688\"]\n  14 [size=\"115187200\", alpha=\"0.02\", expect_size=\"46074880\"] \n  14 -> 32 [size =\"46074880\"]\n  14 -> 33 [size =\"46074880\"]\n  14 -> 35 [size =\"46074880\"]\n  14 -> 38 [size =\"46074880\"]\n  15 [size=\"28316160\", alpha=\"0.05\", expect_size=\"11326464\"] \n  15 -> 29 [size =\"11326464\"]\n  15 -> 32 [size =\"11326464\"]\n  15 -> 33 [size =\"11326464\"]\n  15 -> 35 [size =\"11326464\"]\n  15 -> 36 [size =\"11326464\"]\n  15 -> 38 [size =\"11326464\"]\n  15 -> 39 [size =\"11326464\"]\n  15 -> 40 [size =\"11326464\"]\n  16 [size=\"35783680\", alpha=\"0.05\", expect_size=\"14313472\"] \n  16 -> 29 [size =\"14313472\"]\n  16 -> 32 [size =\"14313472\"]\n  16 -> 33 [size =\"14313472\"]\n  16 -> 35 [size =\"14313472\"]\n  17 [size=\"111068160\", alpha=\"0.04\", expect_size=\"44427264\"] \n  17 -> 30 [size =\"44427264\"]\n  17 -> 32 [size =\"44427264\"]\n  17 -> 33 [size =\"44427264\"]\n  17 -> 34 [size =\"44427264\"]\n  17 -> 35 [size =\"44427264\"]\n  17 -> 36 [size =\"44427264\"]\n  17 -> 39 [size =\"44427264\"]\n  18 [size=\"40176640\", alpha=\"0.07\", expect_size=\"16070656\"] \n  18 -> 29 [size =\"16070656\"]\n  18 -> 32 [size =\"16070656\"]\n  18 -> 33 [size =\"16070656\"]\n  18 -> 35 [size =\"16070656\"]\n  18 -> 38 [size =\"16070656\"]\n  18 -> 39 [size =\"16070656\"]\n  18 -> 39 [size =\"16070656\"]\n  19 [size=\"119180800\", alpha=\"0.03\", expect_size=\"47672320\"] \n  19 -> 30 [size =\"47672320\"]\n  19 -> 38 [size =\"47672320\"]\n  19 -> 39 [size =\"47672320\"]\n  20 [size=\"127078400\", alpha=\"0.15\", expect_size=\"50831360\"] \n  20 -> 39 [size =\"50831360\"]\n  21 [size=\"98434560\", alpha=\"0.12\", expect_size=\"39373824\"] \n  21 -> 30 [size =\"39373824\"]\n  21 -> 32 [size =\"39373824\"]\n  21 -> 33 [size =\"39373824\"]\n  21 -> 37 [size =\"39373824\"]\n  21 -> 38 [size =\"39373824\"]\n  22 [size=\"112637440\", alpha=\"0.11\", expect_size=\"45054976\"] \n  22 -> 29 [size =\"45054976\"]\n  22 -> 32 [size =\"45054976\"]\n  22 -> 36 [size =\"45054976\"]\n  23 [size=\"90744320\", alpha=\"0.08\", expect_size=\"36297728\"] \n  23 -> 29 [size =\"36297728\"]\n  23 -> 30 [size =\"36297728\"]\n  23 -> 32 [size =\"36297728\"]\n  23 -> 33 [size =\"36297728\"]\n  23 -> 35 [size =\"36297728\"]\n  23 -> 37 [size =\"36297728\"]\n  23 -> 38 [size =\"36297728\"]\n  24 [size=\"114227200\", alpha=\"0.19\", expect_size=\"45690880\"] \n  24 -> 33 [size =\"45690880\"]\n  24 -> 34 [size =\"45690880\"]\n  24 -> 35 [size =\"45690880\"]\n  24 -> 38 [size =\"45690880\"]\n  25 [size=\"128581120\", alpha=\"0.14\", expect_size=\"51432448\"] \n  25 -> 31 [size =\"51432448\"]\n  25 -> 32 [size =\"51432448\"]\n  25 -> 33 [size =\"51432448\"]\n  25 -> 34 [size =\"51432448\"]\n  25 -> 35 [size =\"51432448\"]\n  25 -> 36 [size =\"51432448\"]\n  25 -> 37 [size =\"51432448\"]\n  25 -> 39 [size =\"51432448\"]\n  26 [size=\"39206400\", alpha=\"0.14\", expect_size=\"15682560\"] \n  26 -> 29 [size =\"15682560\"]\n  26 -> 30 [size =\"15682560\"]\n  26 -> 32 [size =\"15682560\"]\n  26 -> 34 [size =\"15682560\"]\n  26 -> 35 [size =\"15682560\"]\n  26 -> 39 [size =\"15682560\"]\n  27 [size=\"67420160\", alpha=\"0.15\", expect_size=\"26968064\"] \n  27 -> 30 [size =\"26968064\"]\n  27 -> 31 [size =\"26968064\"]\n  27 -> 32 [size =\"26968064\"]\n  27 -> 36 [size =\"26968064\"]\n  27 -> 39 [size =\"26968064\"]\n  28 [size=\"93486080\", alpha=\"0.14\", expect_size=\"37394432\"] \n  28 -> 29 [size =\"37394432\"]\n  28 -> 30 [size =\"37394432\"]\n  28 -> 32 [size =\"37394432\"]\n  28 -> 33 [size =\"37394432\"]\n  28 -> 36 [size =\"37394432\"]\n  28 -> 39 [size =\"37394432\"]\n  28 -> 40 [size =\"37394432\"]\n  29 [size=\"18652160\", alpha=\"0.07\", expect_size=\"7460864\"] \n  30 [size=\"35317760\", alpha=\"0.16\", expect_size=\"14127104\"] \n  31 [size=\"123532800\", alpha=\"0.17\", expect_size=\"49413120\"] \n  32 [size=\"73779200\", alpha=\"0.18\", expect_size=\"29511680\"] \n  33 [size=\"17781760\", alpha=\"0.20\", expect_size=\"7112704\"] \n  34 [size=\"67878400\", alpha=\"0.19\", expect_size=\"27151360\"] \n  35 [size=\"59351040\", alpha=\"0.01\", expect_size=\"23740416\"] \n  36 [size=\"22144000\", alpha=\"0.06\", expect_size=\"8857600\"] \n  37 [size=\"103331840\", alpha=\"0.08\", expect_size=\"41332736\"] \n  38 [size=\"75520000\", alpha=\"0.15\", expect_size=\"30208000\"] \n  39 [size=\"38366720\", alpha=\"0.00\", expect_size=\"15346688\"] \n  40 [size=\"81753600\", alpha=\"0.04\", expect_size=\"32701440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26763947\", alpha=\"0.06\", expect_size=\"8029184\"] \n  1 -> 7 [size =\"8029184\"]\n  1 -> 8 [size =\"8029184\"]\n  1 -> 9 [size =\"8029184\"]\n  1 -> 10 [size =\"8029184\"]\n  2 [size=\"162560000\", alpha=\"0.17\", expect_size=\"48768000\"] \n  2 -> 9 [size =\"48768000\"]\n  2 -> 10 [size =\"48768000\"]\n  2 -> 11 [size =\"48768000\"]\n  3 [size=\"53807787\", alpha=\"0.08\", expect_size=\"16142336\"] \n  3 -> 6 [size =\"16142336\"]\n  3 -> 7 [size =\"16142336\"]\n  3 -> 8 [size =\"16142336\"]\n  3 -> 9 [size =\"16142336\"]\n  4 [size=\"138280960\", alpha=\"0.19\", expect_size=\"41484288\"] \n  4 -> 7 [size =\"41484288\"]\n  4 -> 9 [size =\"41484288\"]\n  4 -> 10 [size =\"41484288\"]\n  4 -> 11 [size =\"41484288\"]\n  5 [size=\"128884053\", alpha=\"0.16\", expect_size=\"38665216\"] \n  5 -> 7 [size =\"38665216\"]\n  5 -> 8 [size =\"38665216\"]\n  5 -> 10 [size =\"38665216\"]\n  6 [size=\"108171947\", alpha=\"0.02\", expect_size=\"32451584\"] \n  6 -> 12 [size =\"32451584\"]\n  6 -> 15 [size =\"32451584\"]\n  6 -> 16 [size =\"32451584\"]\n  7 [size=\"122675200\", alpha=\"0.05\", expect_size=\"36802560\"] \n  7 -> 12 [size =\"36802560\"]\n  7 -> 14 [size =\"36802560\"]\n  7 -> 15 [size =\"36802560\"]\n  7 -> 16 [size =\"36802560\"]\n  8 [size=\"152255147\", alpha=\"0.13\", expect_size=\"45676544\"] \n  9 [size=\"104983893\", alpha=\"0.03\", expect_size=\"31495168\"] \n  9 -> 13 [size =\"31495168\"]\n  9 -> 16 [size =\"31495168\"]\n  10 [size=\"142254080\", alpha=\"0.11\", expect_size=\"42676224\"] \n  10 -> 12 [size =\"42676224\"]\n  10 -> 15 [size =\"42676224\"]\n  11 [size=\"165294080\", alpha=\"0.02\", expect_size=\"49588224\"] \n  11 -> 15 [size =\"49588224\"]\n  11 -> 16 [size =\"49588224\"]\n  12 [size=\"59125760\", alpha=\"0.16\", expect_size=\"17737728\"] \n  12 -> 18 [size =\"17737728\"]\n  13 [size=\"37249707\", alpha=\"0.07\", expect_size=\"11174912\"] \n  13 -> 17 [size =\"11174912\"]\n  13 -> 20 [size =\"11174912\"]\n  14 [size=\"103174827\", alpha=\"0.15\", expect_size=\"30952448\"] \n  14 -> 18 [size =\"30952448\"]\n  14 -> 19 [size =\"30952448\"]\n  15 [size=\"95798613\", alpha=\"0.16\", expect_size=\"28739584\"] \n  15 -> 17 [size =\"28739584\"]\n  15 -> 20 [size =\"28739584\"]\n  15 -> 22 [size =\"28739584\"]\n  16 [size=\"63443627\", alpha=\"0.08\", expect_size=\"19033088\"] \n  16 -> 17 [size =\"19033088\"]\n  16 -> 18 [size =\"19033088\"]\n  16 -> 19 [size =\"19033088\"]\n  16 -> 21 [size =\"19033088\"]\n  16 -> 22 [size =\"19033088\"]\n  17 [size=\"81687893\", alpha=\"0.01\", expect_size=\"24506368\"] \n  17 -> 24 [size =\"24506368\"]\n  18 [size=\"119019520\", alpha=\"0.18\", expect_size=\"35705856\"] \n  18 -> 23 [size =\"35705856\"]\n  18 -> 24 [size =\"35705856\"]\n  18 -> 25 [size =\"35705856\"]\n  18 -> 26 [size =\"35705856\"]\n  19 [size=\"62641493\", alpha=\"0.01\", expect_size=\"18792448\"] \n  19 -> 23 [size =\"18792448\"]\n  19 -> 24 [size =\"18792448\"]\n  19 -> 26 [size =\"18792448\"]\n  20 [size=\"84920320\", alpha=\"0.15\", expect_size=\"25476096\"] \n  20 -> 23 [size =\"25476096\"]\n  20 -> 24 [size =\"25476096\"]\n  21 [size=\"172021760\", alpha=\"0.10\", expect_size=\"51606528\"] \n  21 -> 27 [size =\"51606528\"]\n  22 [size=\"30952107\", alpha=\"0.04\", expect_size=\"9285632\"] \n  22 -> 23 [size =\"9285632\"]\n  22 -> 27 [size =\"9285632\"]\n  23 [size=\"160375467\", alpha=\"0.02\", expect_size=\"48112640\"] \n  23 -> 28 [size =\"48112640\"]\n  23 -> 30 [size =\"48112640\"]\n  23 -> 31 [size =\"48112640\"]\n  23 -> 33 [size =\"48112640\"]\n  24 [size=\"59129173\", alpha=\"0.16\", expect_size=\"17738752\"] \n  24 -> 28 [size =\"17738752\"]\n  24 -> 29 [size =\"17738752\"]\n  24 -> 30 [size =\"17738752\"]\n  24 -> 31 [size =\"17738752\"]\n  24 -> 32 [size =\"17738752\"]\n  25 [size=\"174254080\", alpha=\"0.04\", expect_size=\"52276224\"] \n  25 -> 29 [size =\"52276224\"]\n  25 -> 32 [size =\"52276224\"]\n  26 [size=\"144882347\", alpha=\"0.03\", expect_size=\"43464704\"] \n  26 -> 28 [size =\"43464704\"]\n  26 -> 32 [size =\"43464704\"]\n  26 -> 33 [size =\"43464704\"]\n  27 [size=\"51534507\", alpha=\"0.16\", expect_size=\"15460352\"] \n  27 -> 30 [size =\"15460352\"]\n  28 [size=\"61067947\", alpha=\"0.06\", expect_size=\"18320384\"] \n  28 -> 36 [size =\"18320384\"]\n  28 -> 37 [size =\"18320384\"]\n  29 [size=\"42864640\", alpha=\"0.07\", expect_size=\"12859392\"] \n  29 -> 38 [size =\"12859392\"]\n  30 [size=\"48233813\", alpha=\"0.04\", expect_size=\"14470144\"] \n  30 -> 34 [size =\"14470144\"]\n  30 -> 37 [size =\"14470144\"]\n  31 [size=\"164440747\", alpha=\"0.19\", expect_size=\"49332224\"] \n  31 -> 34 [size =\"49332224\"]\n  32 [size=\"86200320\", alpha=\"0.00\", expect_size=\"25860096\"] \n  32 -> 34 [size =\"25860096\"]\n  32 -> 35 [size =\"25860096\"]\n  33 [size=\"115889493\", alpha=\"0.04\", expect_size=\"34766848\"] \n  33 -> 34 [size =\"34766848\"]\n  33 -> 35 [size =\"34766848\"]\n  33 -> 36 [size =\"34766848\"]\n  33 -> 38 [size =\"34766848\"]\n  34 [size=\"132553387\", alpha=\"0.18\", expect_size=\"39766016\"] \n  34 -> 39 [size =\"39766016\"]\n  34 -> 40 [size =\"39766016\"]\n  35 [size=\"99710293\", alpha=\"0.03\", expect_size=\"29913088\"] \n  35 -> 39 [size =\"29913088\"]\n  36 [size=\"128771413\", alpha=\"0.13\", expect_size=\"38631424\"] \n  36 -> 40 [size =\"38631424\"]\n  37 [size=\"153146027\", alpha=\"0.11\", expect_size=\"45943808\"] \n  37 -> 40 [size =\"45943808\"]\n  38 [size=\"120743253\", alpha=\"0.03\", expect_size=\"36222976\"] \n  38 -> 39 [size =\"36222976\"]\n  38 -> 40 [size =\"36222976\"]\n  39 [size=\"166348800\", alpha=\"0.20\", expect_size=\"49904640\"] \n  40 [size=\"62897493\", alpha=\"0.05\", expect_size=\"18869248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43956907\", alpha=\"0.07\", expect_size=\"13187072\"] \n  1 -> 5 [size =\"13187072\"]\n  1 -> 7 [size =\"13187072\"]\n  1 -> 8 [size =\"13187072\"]\n  2 [size=\"134550187\", alpha=\"0.09\", expect_size=\"40365056\"] \n  2 -> 5 [size =\"40365056\"]\n  2 -> 8 [size =\"40365056\"]\n  3 [size=\"129467733\", alpha=\"0.06\", expect_size=\"38840320\"] \n  3 -> 6 [size =\"38840320\"]\n  4 [size=\"63730347\", alpha=\"0.05\", expect_size=\"19119104\"] \n  4 -> 5 [size =\"19119104\"]\n  4 -> 6 [size =\"19119104\"]\n  4 -> 7 [size =\"19119104\"]\n  4 -> 8 [size =\"19119104\"]\n  5 [size=\"151190187\", alpha=\"0.04\", expect_size=\"45357056\"] \n  5 -> 9 [size =\"45357056\"]\n  5 -> 11 [size =\"45357056\"]\n  5 -> 12 [size =\"45357056\"]\n  5 -> 14 [size =\"45357056\"]\n  6 [size=\"145742507\", alpha=\"0.01\", expect_size=\"43722752\"] \n  6 -> 9 [size =\"43722752\"]\n  6 -> 10 [size =\"43722752\"]\n  6 -> 11 [size =\"43722752\"]\n  6 -> 12 [size =\"43722752\"]\n  7 [size=\"30754133\", alpha=\"0.18\", expect_size=\"9226240\"] \n  7 -> 9 [size =\"9226240\"]\n  7 -> 11 [size =\"9226240\"]\n  7 -> 12 [size =\"9226240\"]\n  7 -> 13 [size =\"9226240\"]\n  7 -> 15 [size =\"9226240\"]\n  8 [size=\"171605333\", alpha=\"0.01\", expect_size=\"51481600\"] \n  8 -> 9 [size =\"51481600\"]\n  8 -> 11 [size =\"51481600\"]\n  8 -> 12 [size =\"51481600\"]\n  8 -> 13 [size =\"51481600\"]\n  9 [size=\"18213547\", alpha=\"0.14\", expect_size=\"5464064\"] \n  9 -> 16 [size =\"5464064\"]\n  9 -> 17 [size =\"5464064\"]\n  9 -> 18 [size =\"5464064\"]\n  9 -> 20 [size =\"5464064\"]\n  9 -> 21 [size =\"5464064\"]\n  10 [size=\"34563413\", alpha=\"0.06\", expect_size=\"10369024\"] \n  10 -> 16 [size =\"10369024\"]\n  10 -> 17 [size =\"10369024\"]\n  10 -> 18 [size =\"10369024\"]\n  10 -> 19 [size =\"10369024\"]\n  10 -> 20 [size =\"10369024\"]\n  11 [size=\"71557120\", alpha=\"0.00\", expect_size=\"21467136\"] \n  11 -> 17 [size =\"21467136\"]\n  11 -> 19 [size =\"21467136\"]\n  11 -> 20 [size =\"21467136\"]\n  12 [size=\"125399040\", alpha=\"0.01\", expect_size=\"37619712\"] \n  12 -> 18 [size =\"37619712\"]\n  12 -> 19 [size =\"37619712\"]\n  12 -> 20 [size =\"37619712\"]\n  12 -> 21 [size =\"37619712\"]\n  13 [size=\"40854187\", alpha=\"0.10\", expect_size=\"12256256\"] \n  13 -> 16 [size =\"12256256\"]\n  13 -> 17 [size =\"12256256\"]\n  13 -> 19 [size =\"12256256\"]\n  13 -> 20 [size =\"12256256\"]\n  13 -> 21 [size =\"12256256\"]\n  14 [size=\"84882773\", alpha=\"0.15\", expect_size=\"25464832\"] \n  14 -> 16 [size =\"25464832\"]\n  14 -> 17 [size =\"25464832\"]\n  14 -> 19 [size =\"25464832\"]\n  14 -> 21 [size =\"25464832\"]\n  14 -> 21 [size =\"25464832\"]\n  15 [size=\"127948800\", alpha=\"0.09\", expect_size=\"38384640\"] \n  15 -> 16 [size =\"38384640\"]\n  15 -> 17 [size =\"38384640\"]\n  15 -> 18 [size =\"38384640\"]\n  15 -> 19 [size =\"38384640\"]\n  15 -> 20 [size =\"38384640\"]\n  15 -> 21 [size =\"38384640\"]\n  16 [size=\"158822400\", alpha=\"0.10\", expect_size=\"47646720\"] \n  16 -> 22 [size =\"47646720\"]\n  16 -> 24 [size =\"47646720\"]\n  17 [size=\"169857707\", alpha=\"0.10\", expect_size=\"50957312\"] \n  17 -> 22 [size =\"50957312\"]\n  17 -> 23 [size =\"50957312\"]\n  18 [size=\"156791467\", alpha=\"0.11\", expect_size=\"47037440\"] \n  18 -> 23 [size =\"47037440\"]\n  19 [size=\"162546347\", alpha=\"0.11\", expect_size=\"48763904\"] \n  19 -> 23 [size =\"48763904\"]\n  20 [size=\"111486293\", alpha=\"0.11\", expect_size=\"33445888\"] \n  20 -> 22 [size =\"33445888\"]\n  20 -> 23 [size =\"33445888\"]\n  20 -> 24 [size =\"33445888\"]\n  20 -> 25 [size =\"33445888\"]\n  21 [size=\"159873707\", alpha=\"0.13\", expect_size=\"47962112\"] \n  21 -> 25 [size =\"47962112\"]\n  22 [size=\"163659093\", alpha=\"0.11\", expect_size=\"49097728\"] \n  22 -> 26 [size =\"49097728\"]\n  22 -> 27 [size =\"49097728\"]\n  22 -> 28 [size =\"49097728\"]\n  22 -> 29 [size =\"49097728\"]\n  22 -> 30 [size =\"49097728\"]\n  22 -> 31 [size =\"49097728\"]\n  23 [size=\"170536960\", alpha=\"0.03\", expect_size=\"51161088\"] \n  23 -> 26 [size =\"51161088\"]\n  23 -> 27 [size =\"51161088\"]\n  23 -> 28 [size =\"51161088\"]\n  23 -> 29 [size =\"51161088\"]\n  23 -> 30 [size =\"51161088\"]\n  23 -> 31 [size =\"51161088\"]\n  24 [size=\"90832213\", alpha=\"0.01\", expect_size=\"27249664\"] \n  24 -> 26 [size =\"27249664\"]\n  24 -> 27 [size =\"27249664\"]\n  24 -> 28 [size =\"27249664\"]\n  24 -> 29 [size =\"27249664\"]\n  24 -> 30 [size =\"27249664\"]\n  24 -> 31 [size =\"27249664\"]\n  25 [size=\"51766613\", alpha=\"0.16\", expect_size=\"15529984\"] \n  25 -> 26 [size =\"15529984\"]\n  25 -> 27 [size =\"15529984\"]\n  25 -> 28 [size =\"15529984\"]\n  25 -> 29 [size =\"15529984\"]\n  25 -> 30 [size =\"15529984\"]\n  25 -> 31 [size =\"15529984\"]\n  25 -> 32 [size =\"15529984\"]\n  26 [size=\"120514560\", alpha=\"0.07\", expect_size=\"36154368\"] \n  26 -> 33 [size =\"36154368\"]\n  26 -> 35 [size =\"36154368\"]\n  26 -> 36 [size =\"36154368\"]\n  26 -> 37 [size =\"36154368\"]\n  26 -> 38 [size =\"36154368\"]\n  27 [size=\"39434240\", alpha=\"0.20\", expect_size=\"11830272\"] \n  27 -> 36 [size =\"11830272\"]\n  27 -> 37 [size =\"11830272\"]\n  27 -> 38 [size =\"11830272\"]\n  28 [size=\"121797973\", alpha=\"0.12\", expect_size=\"36539392\"] \n  28 -> 33 [size =\"36539392\"]\n  28 -> 34 [size =\"36539392\"]\n  28 -> 37 [size =\"36539392\"]\n  28 -> 38 [size =\"36539392\"]\n  29 [size=\"54541653\", alpha=\"0.05\", expect_size=\"16362496\"] \n  29 -> 34 [size =\"16362496\"]\n  30 [size=\"141267627\", alpha=\"0.20\", expect_size=\"42380288\"] \n  30 -> 33 [size =\"42380288\"]\n  30 -> 38 [size =\"42380288\"]\n  31 [size=\"66621440\", alpha=\"0.01\", expect_size=\"19986432\"] \n  31 -> 34 [size =\"19986432\"]\n  31 -> 38 [size =\"19986432\"]\n  32 [size=\"171659947\", alpha=\"0.16\", expect_size=\"51497984\"] \n  32 -> 38 [size =\"51497984\"]\n  33 [size=\"101594453\", alpha=\"0.15\", expect_size=\"30478336\"] \n  33 -> 40 [size =\"30478336\"]\n  34 [size=\"125709653\", alpha=\"0.02\", expect_size=\"37712896\"] \n  35 [size=\"132973227\", alpha=\"0.03\", expect_size=\"39891968\"] \n  35 -> 39 [size =\"39891968\"]\n  35 -> 40 [size =\"39891968\"]\n  36 [size=\"99816107\", alpha=\"0.01\", expect_size=\"29944832\"] \n  36 -> 39 [size =\"29944832\"]\n  37 [size=\"154504533\", alpha=\"0.20\", expect_size=\"46351360\"] \n  37 -> 40 [size =\"46351360\"]\n  38 [size=\"153033387\", alpha=\"0.16\", expect_size=\"45910016\"] \n  38 -> 40 [size =\"45910016\"]\n  39 [size=\"92248747\", alpha=\"0.10\", expect_size=\"27674624\"] \n  40 [size=\"130174293\", alpha=\"0.17\", expect_size=\"39052288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17692160\", alpha=\"0.20\", expect_size=\"7076864\"] \n  1 -> 36 [size =\"7076864\"]\n  1 -> 37 [size =\"7076864\"]\n  1 -> 39 [size =\"7076864\"]\n  2 [size=\"65088000\", alpha=\"0.07\", expect_size=\"26035200\"] \n  2 -> 33 [size =\"26035200\"]\n  2 -> 34 [size =\"26035200\"]\n  2 -> 35 [size =\"26035200\"]\n  2 -> 36 [size =\"26035200\"]\n  2 -> 39 [size =\"26035200\"]\n  3 [size=\"105600000\", alpha=\"0.17\", expect_size=\"42240000\"] \n  3 -> 33 [size =\"42240000\"]\n  3 -> 34 [size =\"42240000\"]\n  3 -> 36 [size =\"42240000\"]\n  3 -> 36 [size =\"42240000\"]\n  4 [size=\"21803520\", alpha=\"0.11\", expect_size=\"8721408\"] \n  4 -> 33 [size =\"8721408\"]\n  5 [size=\"36922880\", alpha=\"0.13\", expect_size=\"14769152\"] \n  5 -> 33 [size =\"14769152\"]\n  5 -> 34 [size =\"14769152\"]\n  5 -> 36 [size =\"14769152\"]\n  6 [size=\"111080960\", alpha=\"0.12\", expect_size=\"44432384\"] \n  6 -> 33 [size =\"44432384\"]\n  7 [size=\"72591360\", alpha=\"0.12\", expect_size=\"29036544\"] \n  7 -> 33 [size =\"29036544\"]\n  7 -> 34 [size =\"29036544\"]\n  7 -> 35 [size =\"29036544\"]\n  7 -> 37 [size =\"29036544\"]\n  8 [size=\"21232640\", alpha=\"0.01\", expect_size=\"8493056\"] \n  8 -> 33 [size =\"8493056\"]\n  8 -> 34 [size =\"8493056\"]\n  8 -> 36 [size =\"8493056\"]\n  8 -> 39 [size =\"8493056\"]\n  9 [size=\"74119680\", alpha=\"0.02\", expect_size=\"29647872\"] \n  9 -> 34 [size =\"29647872\"]\n  9 -> 35 [size =\"29647872\"]\n  9 -> 36 [size =\"29647872\"]\n  9 -> 37 [size =\"29647872\"]\n  9 -> 39 [size =\"29647872\"]\n  10 [size=\"86643200\", alpha=\"0.19\", expect_size=\"34657280\"] \n  10 -> 33 [size =\"34657280\"]\n  10 -> 35 [size =\"34657280\"]\n  10 -> 36 [size =\"34657280\"]\n  11 [size=\"128386560\", alpha=\"0.15\", expect_size=\"51354624\"] \n  11 -> 34 [size =\"51354624\"]\n  11 -> 35 [size =\"51354624\"]\n  11 -> 36 [size =\"51354624\"]\n  11 -> 38 [size =\"51354624\"]\n  12 [size=\"125504000\", alpha=\"0.02\", expect_size=\"50201600\"] \n  12 -> 35 [size =\"50201600\"]\n  13 [size=\"46410240\", alpha=\"0.20\", expect_size=\"18564096\"] \n  13 -> 34 [size =\"18564096\"]\n  13 -> 35 [size =\"18564096\"]\n  13 -> 36 [size =\"18564096\"]\n  13 -> 37 [size =\"18564096\"]\n  13 -> 39 [size =\"18564096\"]\n  14 [size=\"30643200\", alpha=\"0.16\", expect_size=\"12257280\"] \n  14 -> 33 [size =\"12257280\"]\n  14 -> 34 [size =\"12257280\"]\n  14 -> 36 [size =\"12257280\"]\n  14 -> 37 [size =\"12257280\"]\n  15 [size=\"98137600\", alpha=\"0.14\", expect_size=\"39255040\"] \n  15 -> 34 [size =\"39255040\"]\n  15 -> 36 [size =\"39255040\"]\n  15 -> 37 [size =\"39255040\"]\n  15 -> 39 [size =\"39255040\"]\n  16 [size=\"56906240\", alpha=\"0.07\", expect_size=\"22762496\"] \n  16 -> 34 [size =\"22762496\"]\n  16 -> 37 [size =\"22762496\"]\n  16 -> 39 [size =\"22762496\"]\n  17 [size=\"128432640\", alpha=\"0.13\", expect_size=\"51373056\"] \n  17 -> 34 [size =\"51373056\"]\n  17 -> 36 [size =\"51373056\"]\n  17 -> 37 [size =\"51373056\"]\n  17 -> 38 [size =\"51373056\"]\n  18 [size=\"82723840\", alpha=\"0.13\", expect_size=\"33089536\"] \n  18 -> 33 [size =\"33089536\"]\n  18 -> 34 [size =\"33089536\"]\n  18 -> 37 [size =\"33089536\"]\n  19 [size=\"87618560\", alpha=\"0.02\", expect_size=\"35047424\"] \n  19 -> 33 [size =\"35047424\"]\n  19 -> 34 [size =\"35047424\"]\n  19 -> 39 [size =\"35047424\"]\n  19 -> 40 [size =\"35047424\"]\n  20 [size=\"101450240\", alpha=\"0.08\", expect_size=\"40580096\"] \n  20 -> 34 [size =\"40580096\"]\n  20 -> 34 [size =\"40580096\"]\n  20 -> 39 [size =\"40580096\"]\n  21 [size=\"96337920\", alpha=\"0.15\", expect_size=\"38535168\"] \n  21 -> 34 [size =\"38535168\"]\n  21 -> 35 [size =\"38535168\"]\n  21 -> 36 [size =\"38535168\"]\n  21 -> 37 [size =\"38535168\"]\n  22 [size=\"65569280\", alpha=\"0.11\", expect_size=\"26227712\"] \n  22 -> 34 [size =\"26227712\"]\n  22 -> 36 [size =\"26227712\"]\n  22 -> 37 [size =\"26227712\"]\n  22 -> 39 [size =\"26227712\"]\n  23 [size=\"77102080\", alpha=\"0.02\", expect_size=\"30840832\"] \n  23 -> 34 [size =\"30840832\"]\n  23 -> 36 [size =\"30840832\"]\n  23 -> 37 [size =\"30840832\"]\n  24 [size=\"75758080\", alpha=\"0.15\", expect_size=\"30303232\"] \n  24 -> 34 [size =\"30303232\"]\n  24 -> 35 [size =\"30303232\"]\n  24 -> 38 [size =\"30303232\"]\n  24 -> 39 [size =\"30303232\"]\n  25 [size=\"54172160\", alpha=\"0.11\", expect_size=\"21668864\"] \n  25 -> 35 [size =\"21668864\"]\n  25 -> 39 [size =\"21668864\"]\n  26 [size=\"17968640\", alpha=\"0.05\", expect_size=\"7187456\"] \n  26 -> 33 [size =\"7187456\"]\n  26 -> 39 [size =\"7187456\"]\n  27 [size=\"58869760\", alpha=\"0.08\", expect_size=\"23547904\"] \n  27 -> 33 [size =\"23547904\"]\n  27 -> 38 [size =\"23547904\"]\n  27 -> 39 [size =\"23547904\"]\n  28 [size=\"17725440\", alpha=\"0.13\", expect_size=\"7090176\"] \n  28 -> 37 [size =\"7090176\"]\n  28 -> 39 [size =\"7090176\"]\n  28 -> 39 [size =\"7090176\"]\n  29 [size=\"96824320\", alpha=\"0.08\", expect_size=\"38729728\"] \n  29 -> 33 [size =\"38729728\"]\n  29 -> 34 [size =\"38729728\"]\n  29 -> 39 [size =\"38729728\"]\n  30 [size=\"110484480\", alpha=\"0.16\", expect_size=\"44193792\"] \n  30 -> 39 [size =\"44193792\"]\n  30 -> 40 [size =\"44193792\"]\n  31 [size=\"41428480\", alpha=\"0.03\", expect_size=\"16571392\"] \n  31 -> 35 [size =\"16571392\"]\n  31 -> 39 [size =\"16571392\"]\n  32 [size=\"130176000\", alpha=\"0.09\", expect_size=\"52070400\"] \n  32 -> 36 [size =\"52070400\"]\n  32 -> 37 [size =\"52070400\"]\n  33 [size=\"74808320\", alpha=\"0.01\", expect_size=\"29923328\"] \n  34 [size=\"85790720\", alpha=\"0.16\", expect_size=\"34316288\"] \n  35 [size=\"53852160\", alpha=\"0.05\", expect_size=\"21540864\"] \n  36 [size=\"120778240\", alpha=\"0.02\", expect_size=\"48311296\"] \n  37 [size=\"30650880\", alpha=\"0.18\", expect_size=\"12260352\"] \n  38 [size=\"78878720\", alpha=\"0.06\", expect_size=\"31551488\"] \n  39 [size=\"37665280\", alpha=\"0.07\", expect_size=\"15066112\"] \n  40 [size=\"85985280\", alpha=\"0.03\", expect_size=\"34394112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58634240\", alpha=\"0.11\", expect_size=\"29317120\"] \n  1 -> 4 [size =\"29317120\"]\n  1 -> 5 [size =\"29317120\"]\n  2 [size=\"55830528\", alpha=\"0.20\", expect_size=\"27915264\"] \n  2 -> 4 [size =\"27915264\"]\n  3 [size=\"17254400\", alpha=\"0.03\", expect_size=\"8627200\"] \n  4 [size=\"82550784\", alpha=\"0.15\", expect_size=\"41275392\"] \n  4 -> 6 [size =\"41275392\"]\n  4 -> 7 [size =\"41275392\"]\n  5 [size=\"64575488\", alpha=\"0.05\", expect_size=\"32287744\"] \n  5 -> 7 [size =\"32287744\"]\n  6 [size=\"46569472\", alpha=\"0.08\", expect_size=\"23284736\"] \n  6 -> 8 [size =\"23284736\"]\n  6 -> 9 [size =\"23284736\"]\n  6 -> 10 [size =\"23284736\"]\n  7 [size=\"44019712\", alpha=\"0.05\", expect_size=\"22009856\"] \n  7 -> 9 [size =\"22009856\"]\n  7 -> 10 [size =\"22009856\"]\n  8 [size=\"11624448\", alpha=\"0.09\", expect_size=\"5812224\"] \n  9 [size=\"47527936\", alpha=\"0.08\", expect_size=\"23763968\"] \n  9 -> 12 [size =\"23763968\"]\n  10 [size=\"37148672\", alpha=\"0.04\", expect_size=\"18574336\"] \n  10 -> 11 [size =\"18574336\"]\n  11 [size=\"48472064\", alpha=\"0.08\", expect_size=\"24236032\"] \n  11 -> 13 [size =\"24236032\"]\n  12 [size=\"100722688\", alpha=\"0.10\", expect_size=\"50361344\"] \n  12 -> 14 [size =\"50361344\"]\n  12 -> 15 [size =\"50361344\"]\n  13 [size=\"100190208\", alpha=\"0.16\", expect_size=\"50095104\"] \n  13 -> 16 [size =\"50095104\"]\n  13 -> 17 [size =\"50095104\"]\n  13 -> 18 [size =\"50095104\"]\n  14 [size=\"20297728\", alpha=\"0.10\", expect_size=\"10148864\"] \n  14 -> 16 [size =\"10148864\"]\n  14 -> 17 [size =\"10148864\"]\n  14 -> 18 [size =\"10148864\"]\n  15 [size=\"88997888\", alpha=\"0.17\", expect_size=\"44498944\"] \n  15 -> 16 [size =\"44498944\"]\n  15 -> 18 [size =\"44498944\"]\n  16 [size=\"19017728\", alpha=\"0.14\", expect_size=\"9508864\"] \n  16 -> 19 [size =\"9508864\"]\n  16 -> 20 [size =\"9508864\"]\n  17 [size=\"58767360\", alpha=\"0.14\", expect_size=\"29383680\"] \n  17 -> 20 [size =\"29383680\"]\n  18 [size=\"84060160\", alpha=\"0.03\", expect_size=\"42030080\"] \n  18 -> 20 [size =\"42030080\"]\n  19 [size=\"32217088\", alpha=\"0.00\", expect_size=\"16108544\"] \n  19 -> 21 [size =\"16108544\"]\n  20 [size=\"69312512\", alpha=\"0.16\", expect_size=\"34656256\"] \n  20 -> 21 [size =\"34656256\"]\n  20 -> 22 [size =\"34656256\"]\n  21 [size=\"89581568\", alpha=\"0.02\", expect_size=\"44790784\"] \n  21 -> 23 [size =\"44790784\"]\n  21 -> 24 [size =\"44790784\"]\n  22 [size=\"33452032\", alpha=\"0.18\", expect_size=\"16726016\"] \n  22 -> 23 [size =\"16726016\"]\n  22 -> 24 [size =\"16726016\"]\n  23 [size=\"81545216\", alpha=\"0.15\", expect_size=\"40772608\"] \n  23 -> 25 [size =\"40772608\"]\n  23 -> 26 [size =\"40772608\"]\n  24 [size=\"61702144\", alpha=\"0.07\", expect_size=\"30851072\"] \n  24 -> 25 [size =\"30851072\"]\n  24 -> 26 [size =\"30851072\"]\n  25 [size=\"14325760\", alpha=\"0.11\", expect_size=\"7162880\"] \n  25 -> 27 [size =\"7162880\"]\n  25 -> 29 [size =\"7162880\"]\n  26 [size=\"96774144\", alpha=\"0.02\", expect_size=\"48387072\"] \n  26 -> 27 [size =\"48387072\"]\n  26 -> 28 [size =\"48387072\"]\n  26 -> 29 [size =\"48387072\"]\n  27 [size=\"66430976\", alpha=\"0.01\", expect_size=\"33215488\"] \n  27 -> 31 [size =\"33215488\"]\n  27 -> 32 [size =\"33215488\"]\n  28 [size=\"39208960\", alpha=\"0.20\", expect_size=\"19604480\"] \n  28 -> 30 [size =\"19604480\"]\n  29 [size=\"51791872\", alpha=\"0.06\", expect_size=\"25895936\"] \n  29 -> 31 [size =\"25895936\"]\n  29 -> 32 [size =\"25895936\"]\n  30 [size=\"52826112\", alpha=\"0.19\", expect_size=\"26413056\"] \n  30 -> 34 [size =\"26413056\"]\n  30 -> 35 [size =\"26413056\"]\n  30 -> 35 [size =\"26413056\"]\n  31 [size=\"34166784\", alpha=\"0.19\", expect_size=\"17083392\"] \n  31 -> 34 [size =\"17083392\"]\n  32 [size=\"43960320\", alpha=\"0.19\", expect_size=\"21980160\"] \n  32 -> 33 [size =\"21980160\"]\n  32 -> 34 [size =\"21980160\"]\n  32 -> 35 [size =\"21980160\"]\n  33 [size=\"33183744\", alpha=\"0.17\", expect_size=\"16591872\"] \n  33 -> 36 [size =\"16591872\"]\n  33 -> 37 [size =\"16591872\"]\n  34 [size=\"102977536\", alpha=\"0.18\", expect_size=\"51488768\"] \n  34 -> 36 [size =\"51488768\"]\n  34 -> 37 [size =\"51488768\"]\n  34 -> 38 [size =\"51488768\"]\n  35 [size=\"42289152\", alpha=\"0.15\", expect_size=\"21144576\"] \n  35 -> 37 [size =\"21144576\"]\n  35 -> 38 [size =\"21144576\"]\n  36 [size=\"93958144\", alpha=\"0.14\", expect_size=\"46979072\"] \n  37 [size=\"10950656\", alpha=\"0.03\", expect_size=\"5475328\"] \n  37 -> 39 [size =\"5475328\"]\n  37 -> 40 [size =\"5475328\"]\n  38 [size=\"15548416\", alpha=\"0.08\", expect_size=\"7774208\"] \n  38 -> 40 [size =\"7774208\"]\n  38 -> 40 [size =\"7774208\"]\n  39 [size=\"14514176\", alpha=\"0.17\", expect_size=\"7257088\"] \n  40 [size=\"44896256\", alpha=\"0.19\", expect_size=\"22448128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72312320\", alpha=\"0.01\", expect_size=\"28924928\"] \n  1 -> 3 [size =\"28924928\"]\n  2 [size=\"62156800\", alpha=\"0.18\", expect_size=\"24862720\"] \n  2 -> 4 [size =\"24862720\"]\n  2 -> 5 [size =\"24862720\"]\n  3 [size=\"13230080\", alpha=\"0.09\", expect_size=\"5292032\"] \n  3 -> 6 [size =\"5292032\"]\n  3 -> 7 [size =\"5292032\"]\n  4 [size=\"69672960\", alpha=\"0.06\", expect_size=\"27869184\"] \n  5 [size=\"104824320\", alpha=\"0.00\", expect_size=\"41929728\"] \n  5 -> 6 [size =\"41929728\"]\n  6 [size=\"110848000\", alpha=\"0.03\", expect_size=\"44339200\"] \n  6 -> 8 [size =\"44339200\"]\n  7 [size=\"42032640\", alpha=\"0.10\", expect_size=\"16813056\"] \n  7 -> 9 [size =\"16813056\"]\n  8 [size=\"109665280\", alpha=\"0.18\", expect_size=\"43866112\"] \n  8 -> 11 [size =\"43866112\"]\n  9 [size=\"56760320\", alpha=\"0.16\", expect_size=\"22704128\"] \n  9 -> 10 [size =\"22704128\"]\n  10 [size=\"70991360\", alpha=\"0.09\", expect_size=\"28396544\"] \n  11 [size=\"104386560\", alpha=\"0.06\", expect_size=\"41754624\"] \n  11 -> 12 [size =\"41754624\"]\n  11 -> 13 [size =\"41754624\"]\n  12 [size=\"107402240\", alpha=\"0.19\", expect_size=\"42960896\"] \n  12 -> 14 [size =\"42960896\"]\n  12 -> 16 [size =\"42960896\"]\n  13 [size=\"95114240\", alpha=\"0.15\", expect_size=\"38045696\"] \n  13 -> 15 [size =\"38045696\"]\n  14 [size=\"31206400\", alpha=\"0.13\", expect_size=\"12482560\"] \n  14 -> 18 [size =\"12482560\"]\n  15 [size=\"68055040\", alpha=\"0.08\", expect_size=\"27222016\"] \n  15 -> 17 [size =\"27222016\"]\n  15 -> 19 [size =\"27222016\"]\n  16 [size=\"68359680\", alpha=\"0.16\", expect_size=\"27343872\"] \n  16 -> 17 [size =\"27343872\"]\n  16 -> 19 [size =\"27343872\"]\n  17 [size=\"85056000\", alpha=\"0.11\", expect_size=\"34022400\"] \n  18 [size=\"28160000\", alpha=\"0.04\", expect_size=\"11264000\"] \n  18 -> 20 [size =\"11264000\"]\n  19 [size=\"17016320\", alpha=\"0.14\", expect_size=\"6806528\"] \n  19 -> 20 [size =\"6806528\"]\n  19 -> 21 [size =\"6806528\"]\n  20 [size=\"110743040\", alpha=\"0.18\", expect_size=\"44297216\"] \n  20 -> 22 [size =\"44297216\"]\n  20 -> 23 [size =\"44297216\"]\n  21 [size=\"48171520\", alpha=\"0.12\", expect_size=\"19268608\"] \n  21 -> 24 [size =\"19268608\"]\n  22 [size=\"85529600\", alpha=\"0.15\", expect_size=\"34211840\"] \n  23 [size=\"79813120\", alpha=\"0.17\", expect_size=\"31925248\"] \n  23 -> 26 [size =\"31925248\"]\n  24 [size=\"49835520\", alpha=\"0.09\", expect_size=\"19934208\"] \n  24 -> 25 [size =\"19934208\"]\n  24 -> 27 [size =\"19934208\"]\n  25 [size=\"128002560\", alpha=\"0.16\", expect_size=\"51201024\"] \n  25 -> 30 [size =\"51201024\"]\n  26 [size=\"56023040\", alpha=\"0.00\", expect_size=\"22409216\"] \n  26 -> 29 [size =\"22409216\"]\n  26 -> 30 [size =\"22409216\"]\n  27 [size=\"31534080\", alpha=\"0.09\", expect_size=\"12613632\"] \n  27 -> 28 [size =\"12613632\"]\n  28 [size=\"94410240\", alpha=\"0.14\", expect_size=\"37764096\"] \n  29 [size=\"116405760\", alpha=\"0.07\", expect_size=\"46562304\"] \n  29 -> 32 [size =\"46562304\"]\n  30 [size=\"83025920\", alpha=\"0.10\", expect_size=\"33210368\"] \n  30 -> 31 [size =\"33210368\"]\n  31 [size=\"72824320\", alpha=\"0.08\", expect_size=\"29129728\"] \n  31 -> 35 [size =\"29129728\"]\n  32 [size=\"27041280\", alpha=\"0.02\", expect_size=\"10816512\"] \n  32 -> 33 [size =\"10816512\"]\n  32 -> 34 [size =\"10816512\"]\n  33 [size=\"112693760\", alpha=\"0.09\", expect_size=\"45077504\"] \n  33 -> 37 [size =\"45077504\"]\n  33 -> 38 [size =\"45077504\"]\n  34 [size=\"93975040\", alpha=\"0.00\", expect_size=\"37590016\"] \n  34 -> 36 [size =\"37590016\"]\n  34 -> 38 [size =\"37590016\"]\n  35 [size=\"27453440\", alpha=\"0.01\", expect_size=\"10981376\"] \n  35 -> 36 [size =\"10981376\"]\n  36 [size=\"122810880\", alpha=\"0.10\", expect_size=\"49124352\"] \n  36 -> 39 [size =\"49124352\"]\n  37 [size=\"123901440\", alpha=\"0.12\", expect_size=\"49560576\"] \n  37 -> 39 [size =\"49560576\"]\n  38 [size=\"59642880\", alpha=\"0.16\", expect_size=\"23857152\"] \n  38 -> 40 [size =\"23857152\"]\n  39 [size=\"26600960\", alpha=\"0.01\", expect_size=\"10640384\"] \n  40 [size=\"68426240\", alpha=\"0.03\", expect_size=\"27370496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76646400\", alpha=\"0.15\", expect_size=\"22993920\"] \n  1 -> 4 [size =\"22993920\"]\n  1 -> 5 [size =\"22993920\"]\n  1 -> 6 [size =\"22993920\"]\n  2 [size=\"61525333\", alpha=\"0.18\", expect_size=\"18457600\"] \n  2 -> 4 [size =\"18457600\"]\n  2 -> 5 [size =\"18457600\"]\n  3 [size=\"101956267\", alpha=\"0.09\", expect_size=\"30586880\"] \n  3 -> 4 [size =\"30586880\"]\n  3 -> 5 [size =\"30586880\"]\n  3 -> 6 [size =\"30586880\"]\n  4 [size=\"149101227\", alpha=\"0.09\", expect_size=\"44730368\"] \n  4 -> 7 [size =\"44730368\"]\n  5 [size=\"73400320\", alpha=\"0.05\", expect_size=\"22020096\"] \n  5 -> 7 [size =\"22020096\"]\n  5 -> 8 [size =\"22020096\"]\n  6 [size=\"152313173\", alpha=\"0.06\", expect_size=\"45693952\"] \n  6 -> 7 [size =\"45693952\"]\n  6 -> 8 [size =\"45693952\"]\n  7 [size=\"27487573\", alpha=\"0.02\", expect_size=\"8246272\"] \n  7 -> 9 [size =\"8246272\"]\n  7 -> 10 [size =\"8246272\"]\n  8 [size=\"106656427\", alpha=\"0.06\", expect_size=\"31996928\"] \n  8 -> 9 [size =\"31996928\"]\n  8 -> 10 [size =\"31996928\"]\n  9 [size=\"169065813\", alpha=\"0.15\", expect_size=\"50719744\"] \n  9 -> 11 [size =\"50719744\"]\n  9 -> 12 [size =\"50719744\"]\n  10 [size=\"54323200\", alpha=\"0.09\", expect_size=\"16296960\"] \n  10 -> 12 [size =\"16296960\"]\n  11 [size=\"111981227\", alpha=\"0.07\", expect_size=\"33594368\"] \n  11 -> 13 [size =\"33594368\"]\n  11 -> 14 [size =\"33594368\"]\n  12 [size=\"71328427\", alpha=\"0.07\", expect_size=\"21398528\"] \n  12 -> 13 [size =\"21398528\"]\n  12 -> 14 [size =\"21398528\"]\n  13 [size=\"57088000\", alpha=\"0.16\", expect_size=\"17126400\"] \n  13 -> 15 [size =\"17126400\"]\n  13 -> 16 [size =\"17126400\"]\n  14 [size=\"126580053\", alpha=\"0.00\", expect_size=\"37974016\"] \n  14 -> 15 [size =\"37974016\"]\n  14 -> 16 [size =\"37974016\"]\n  14 -> 17 [size =\"37974016\"]\n  15 [size=\"42803200\", alpha=\"0.15\", expect_size=\"12840960\"] \n  15 -> 18 [size =\"12840960\"]\n  15 -> 19 [size =\"12840960\"]\n  15 -> 20 [size =\"12840960\"]\n  16 [size=\"79994880\", alpha=\"0.15\", expect_size=\"23998464\"] \n  16 -> 18 [size =\"23998464\"]\n  16 -> 19 [size =\"23998464\"]\n  16 -> 20 [size =\"23998464\"]\n  17 [size=\"126375253\", alpha=\"0.01\", expect_size=\"37912576\"] \n  17 -> 18 [size =\"37912576\"]\n  17 -> 19 [size =\"37912576\"]\n  17 -> 20 [size =\"37912576\"]\n  18 [size=\"140861440\", alpha=\"0.07\", expect_size=\"42258432\"] \n  18 -> 21 [size =\"42258432\"]\n  18 -> 22 [size =\"42258432\"]\n  18 -> 23 [size =\"42258432\"]\n  19 [size=\"33146880\", alpha=\"0.17\", expect_size=\"9944064\"] \n  19 -> 21 [size =\"9944064\"]\n  19 -> 23 [size =\"9944064\"]\n  20 [size=\"149701973\", alpha=\"0.01\", expect_size=\"44910592\"] \n  20 -> 23 [size =\"44910592\"]\n  21 [size=\"62634667\", alpha=\"0.12\", expect_size=\"18790400\"] \n  21 -> 24 [size =\"18790400\"]\n  21 -> 25 [size =\"18790400\"]\n  22 [size=\"119572480\", alpha=\"0.08\", expect_size=\"35871744\"] \n  22 -> 24 [size =\"35871744\"]\n  23 [size=\"20558507\", alpha=\"0.16\", expect_size=\"6167552\"] \n  23 -> 25 [size =\"6167552\"]\n  24 [size=\"145233920\", alpha=\"0.20\", expect_size=\"43570176\"] \n  24 -> 26 [size =\"43570176\"]\n  25 [size=\"145455787\", alpha=\"0.11\", expect_size=\"43636736\"] \n  25 -> 26 [size =\"43636736\"]\n  25 -> 27 [size =\"43636736\"]\n  26 [size=\"104871253\", alpha=\"0.19\", expect_size=\"31461376\"] \n  26 -> 28 [size =\"31461376\"]\n  26 -> 29 [size =\"31461376\"]\n  27 [size=\"61989547\", alpha=\"0.09\", expect_size=\"18596864\"] \n  27 -> 28 [size =\"18596864\"]\n  27 -> 29 [size =\"18596864\"]\n  28 [size=\"66884267\", alpha=\"0.10\", expect_size=\"20065280\"] \n  28 -> 30 [size =\"20065280\"]\n  29 [size=\"119453013\", alpha=\"0.10\", expect_size=\"35835904\"] \n  29 -> 30 [size =\"35835904\"]\n  29 -> 31 [size =\"35835904\"]\n  30 [size=\"95962453\", alpha=\"0.15\", expect_size=\"28788736\"] \n  30 -> 32 [size =\"28788736\"]\n  30 -> 33 [size =\"28788736\"]\n  31 [size=\"100031147\", alpha=\"0.12\", expect_size=\"30009344\"] \n  31 -> 32 [size =\"30009344\"]\n  31 -> 33 [size =\"30009344\"]\n  32 [size=\"33546240\", alpha=\"0.16\", expect_size=\"10063872\"] \n  32 -> 34 [size =\"10063872\"]\n  32 -> 35 [size =\"10063872\"]\n  32 -> 36 [size =\"10063872\"]\n  33 [size=\"97839787\", alpha=\"0.05\", expect_size=\"29351936\"] \n  33 -> 34 [size =\"29351936\"]\n  33 -> 35 [size =\"29351936\"]\n  33 -> 36 [size =\"29351936\"]\n  34 [size=\"62825813\", alpha=\"0.07\", expect_size=\"18847744\"] \n  34 -> 37 [size =\"18847744\"]\n  34 -> 38 [size =\"18847744\"]\n  34 -> 39 [size =\"18847744\"]\n  35 [size=\"60125867\", alpha=\"0.13\", expect_size=\"18037760\"] \n  35 -> 37 [size =\"18037760\"]\n  35 -> 39 [size =\"18037760\"]\n  36 [size=\"145674240\", alpha=\"0.07\", expect_size=\"43702272\"] \n  36 -> 37 [size =\"43702272\"]\n  36 -> 38 [size =\"43702272\"]\n  36 -> 39 [size =\"43702272\"]\n  37 [size=\"139728213\", alpha=\"0.15\", expect_size=\"41918464\"] \n  37 -> 40 [size =\"41918464\"]\n  38 [size=\"52302507\", alpha=\"0.18\", expect_size=\"15690752\"] \n  38 -> 40 [size =\"15690752\"]\n  39 [size=\"129867093\", alpha=\"0.04\", expect_size=\"38960128\"] \n  39 -> 40 [size =\"38960128\"]\n  40 [size=\"52152320\", alpha=\"0.06\", expect_size=\"15645696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88854528\", alpha=\"0.04\", expect_size=\"44427264\"] \n  2 [size=\"17801216\", alpha=\"0.10\", expect_size=\"8900608\"] \n  3 [size=\"19646464\", alpha=\"0.08\", expect_size=\"9823232\"] \n  4 [size=\"97323008\", alpha=\"0.05\", expect_size=\"48661504\"] \n  5 [size=\"46288896\", alpha=\"0.03\", expect_size=\"23144448\"] \n  6 [size=\"32786432\", alpha=\"0.06\", expect_size=\"16393216\"] \n  7 [size=\"64571392\", alpha=\"0.03\", expect_size=\"32285696\"] \n  8 [size=\"41127936\", alpha=\"0.08\", expect_size=\"20563968\"] \n  9 [size=\"49381376\", alpha=\"0.12\", expect_size=\"24690688\"] \n  10 [size=\"26212352\", alpha=\"0.20\", expect_size=\"13106176\"] \n  11 [size=\"25161728\", alpha=\"0.07\", expect_size=\"12580864\"] \n  12 [size=\"44251136\", alpha=\"0.12\", expect_size=\"22125568\"] \n  13 [size=\"93673472\", alpha=\"0.04\", expect_size=\"46836736\"] \n  14 [size=\"36839424\", alpha=\"0.15\", expect_size=\"18419712\"] \n  15 [size=\"59011072\", alpha=\"0.18\", expect_size=\"29505536\"] \n  16 [size=\"71510016\", alpha=\"0.17\", expect_size=\"35755008\"] \n  17 [size=\"100902912\", alpha=\"0.15\", expect_size=\"50451456\"] \n  18 [size=\"18634752\", alpha=\"0.11\", expect_size=\"9317376\"] \n  19 [size=\"55910400\", alpha=\"0.06\", expect_size=\"27955200\"] \n  20 [size=\"19664896\", alpha=\"0.06\", expect_size=\"9832448\"] \n  21 [size=\"18894848\", alpha=\"0.03\", expect_size=\"9447424\"] \n  22 [size=\"51494912\", alpha=\"0.01\", expect_size=\"25747456\"] \n  23 [size=\"14647296\", alpha=\"0.01\", expect_size=\"7323648\"] \n  24 [size=\"35848192\", alpha=\"0.20\", expect_size=\"17924096\"] \n  25 [size=\"13897728\", alpha=\"0.06\", expect_size=\"6948864\"] \n  26 [size=\"100337664\", alpha=\"0.16\", expect_size=\"50168832\"] \n  27 [size=\"84140032\", alpha=\"0.19\", expect_size=\"42070016\"] \n  28 [size=\"61698048\", alpha=\"0.07\", expect_size=\"30849024\"] \n  29 [size=\"19431424\", alpha=\"0.04\", expect_size=\"9715712\"] \n  30 [size=\"49717248\", alpha=\"0.05\", expect_size=\"24858624\"] \n  31 [size=\"79796224\", alpha=\"0.08\", expect_size=\"39898112\"] \n  32 [size=\"93667328\", alpha=\"0.19\", expect_size=\"46833664\"] \n  33 [size=\"98646016\", alpha=\"0.07\", expect_size=\"49323008\"] \n  34 [size=\"103892992\", alpha=\"0.01\", expect_size=\"51946496\"] \n  35 [size=\"101875712\", alpha=\"0.05\", expect_size=\"50937856\"] \n  36 [size=\"34025472\", alpha=\"0.02\", expect_size=\"17012736\"] \n  37 [size=\"17014784\", alpha=\"0.18\", expect_size=\"8507392\"] \n  38 [size=\"10561536\", alpha=\"0.16\", expect_size=\"5280768\"] \n  39 [size=\"45305856\", alpha=\"0.03\", expect_size=\"22652928\"] \n  40 [size=\"65773568\", alpha=\"0.13\", expect_size=\"32886784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35005440\", alpha=\"0.01\", expect_size=\"14002176\"] \n  2 [size=\"123686400\", alpha=\"0.11\", expect_size=\"49474560\"] \n  2 -> 9 [size =\"49474560\"]\n  3 [size=\"128832000\", alpha=\"0.11\", expect_size=\"51532800\"] \n  3 -> 8 [size =\"51532800\"]\n  4 [size=\"83571200\", alpha=\"0.04\", expect_size=\"33428480\"] \n  4 -> 10 [size =\"33428480\"]\n  4 -> 12 [size =\"33428480\"]\n  5 [size=\"59619840\", alpha=\"0.05\", expect_size=\"23847936\"] \n  5 -> 9 [size =\"23847936\"]\n  5 -> 10 [size =\"23847936\"]\n  6 [size=\"98915840\", alpha=\"0.17\", expect_size=\"39566336\"] \n  6 -> 9 [size =\"39566336\"]\n  6 -> 11 [size =\"39566336\"]\n  7 [size=\"56437760\", alpha=\"0.20\", expect_size=\"22575104\"] \n  7 -> 13 [size =\"22575104\"]\n  8 [size=\"54110720\", alpha=\"0.14\", expect_size=\"21644288\"] \n  8 -> 14 [size =\"21644288\"]\n  8 -> 15 [size =\"21644288\"]\n  8 -> 16 [size =\"21644288\"]\n  8 -> 17 [size =\"21644288\"]\n  9 [size=\"19274240\", alpha=\"0.13\", expect_size=\"7709696\"] \n  9 -> 16 [size =\"7709696\"]\n  9 -> 17 [size =\"7709696\"]\n  9 -> 21 [size =\"7709696\"]\n  10 [size=\"59537920\", alpha=\"0.18\", expect_size=\"23815168\"] \n  10 -> 18 [size =\"23815168\"]\n  11 [size=\"29365760\", alpha=\"0.12\", expect_size=\"11746304\"] \n  11 -> 16 [size =\"11746304\"]\n  11 -> 21 [size =\"11746304\"]\n  12 [size=\"37056000\", alpha=\"0.09\", expect_size=\"14822400\"] \n  12 -> 17 [size =\"14822400\"]\n  12 -> 18 [size =\"14822400\"]\n  12 -> 19 [size =\"14822400\"]\n  13 [size=\"100183040\", alpha=\"0.12\", expect_size=\"40073216\"] \n  13 -> 19 [size =\"40073216\"]\n  13 -> 20 [size =\"40073216\"]\n  14 [size=\"46942720\", alpha=\"0.01\", expect_size=\"18777088\"] \n  14 -> 22 [size =\"18777088\"]\n  14 -> 23 [size =\"18777088\"]\n  15 [size=\"69844480\", alpha=\"0.02\", expect_size=\"27937792\"] \n  15 -> 23 [size =\"27937792\"]\n  15 -> 26 [size =\"27937792\"]\n  16 [size=\"97223680\", alpha=\"0.02\", expect_size=\"38889472\"] \n  16 -> 25 [size =\"38889472\"]\n  17 [size=\"79347200\", alpha=\"0.16\", expect_size=\"31738880\"] \n  17 -> 22 [size =\"31738880\"]\n  17 -> 24 [size =\"31738880\"]\n  18 [size=\"79329280\", alpha=\"0.08\", expect_size=\"31731712\"] \n  19 [size=\"45724160\", alpha=\"0.14\", expect_size=\"18289664\"] \n  20 [size=\"124992000\", alpha=\"0.18\", expect_size=\"49996800\"] \n  21 [size=\"110274560\", alpha=\"0.06\", expect_size=\"44109824\"] \n  21 -> 24 [size =\"44109824\"]\n  22 [size=\"62904320\", alpha=\"0.13\", expect_size=\"25161728\"] \n  22 -> 28 [size =\"25161728\"]\n  22 -> 29 [size =\"25161728\"]\n  22 -> 30 [size =\"25161728\"]\n  22 -> 32 [size =\"25161728\"]\n  23 [size=\"117350400\", alpha=\"0.20\", expect_size=\"46940160\"] \n  23 -> 30 [size =\"46940160\"]\n  24 [size=\"68907520\", alpha=\"0.18\", expect_size=\"27563008\"] \n  24 -> 27 [size =\"27563008\"]\n  24 -> 29 [size =\"27563008\"]\n  24 -> 33 [size =\"27563008\"]\n  25 [size=\"71938560\", alpha=\"0.04\", expect_size=\"28775424\"] \n  25 -> 31 [size =\"28775424\"]\n  25 -> 33 [size =\"28775424\"]\n  26 [size=\"83599360\", alpha=\"0.05\", expect_size=\"33439744\"] \n  26 -> 30 [size =\"33439744\"]\n  26 -> 31 [size =\"33439744\"]\n  26 -> 34 [size =\"33439744\"]\n  27 [size=\"98327040\", alpha=\"0.13\", expect_size=\"39330816\"] \n  27 -> 35 [size =\"39330816\"]\n  28 [size=\"75448320\", alpha=\"0.08\", expect_size=\"30179328\"] \n  29 [size=\"125396480\", alpha=\"0.04\", expect_size=\"50158592\"] \n  29 -> 35 [size =\"50158592\"]\n  30 [size=\"89551360\", alpha=\"0.08\", expect_size=\"35820544\"] \n  31 [size=\"79303680\", alpha=\"0.15\", expect_size=\"31721472\"] \n  31 -> 36 [size =\"31721472\"]\n  31 -> 37 [size =\"31721472\"]\n  32 [size=\"116551680\", alpha=\"0.06\", expect_size=\"46620672\"] \n  32 -> 36 [size =\"46620672\"]\n  32 -> 37 [size =\"46620672\"]\n  32 -> 38 [size =\"46620672\"]\n  33 [size=\"75947520\", alpha=\"0.12\", expect_size=\"30379008\"] \n  33 -> 36 [size =\"30379008\"]\n  34 [size=\"73216000\", alpha=\"0.03\", expect_size=\"29286400\"] \n  34 -> 36 [size =\"29286400\"]\n  35 [size=\"60853760\", alpha=\"0.04\", expect_size=\"24341504\"] \n  35 -> 39 [size =\"24341504\"]\n  36 [size=\"85381120\", alpha=\"0.19\", expect_size=\"34152448\"] \n  36 -> 40 [size =\"34152448\"]\n  37 [size=\"114641920\", alpha=\"0.06\", expect_size=\"45856768\"] \n  38 [size=\"74001920\", alpha=\"0.03\", expect_size=\"29600768\"] \n  38 -> 39 [size =\"29600768\"]\n  39 [size=\"122432000\", alpha=\"0.06\", expect_size=\"48972800\"] \n  40 [size=\"30172160\", alpha=\"0.09\", expect_size=\"12068864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148763307\", alpha=\"0.09\", expect_size=\"44628992\"] \n  1 -> 8 [size =\"44628992\"]\n  2 [size=\"47032320\", alpha=\"0.02\", expect_size=\"14109696\"] \n  2 -> 7 [size =\"14109696\"]\n  2 -> 10 [size =\"14109696\"]\n  3 [size=\"35188053\", alpha=\"0.09\", expect_size=\"10556416\"] \n  3 -> 7 [size =\"10556416\"]\n  3 -> 8 [size =\"10556416\"]\n  3 -> 9 [size =\"10556416\"]\n  3 -> 10 [size =\"10556416\"]\n  4 [size=\"169622187\", alpha=\"0.14\", expect_size=\"50886656\"] \n  4 -> 6 [size =\"50886656\"]\n  4 -> 7 [size =\"50886656\"]\n  4 -> 9 [size =\"50886656\"]\n  4 -> 10 [size =\"50886656\"]\n  5 [size=\"52295680\", alpha=\"0.13\", expect_size=\"15688704\"] \n  5 -> 7 [size =\"15688704\"]\n  5 -> 7 [size =\"15688704\"]\n  6 [size=\"60409173\", alpha=\"0.17\", expect_size=\"18122752\"] \n  6 -> 11 [size =\"18122752\"]\n  6 -> 14 [size =\"18122752\"]\n  7 [size=\"34314240\", alpha=\"0.01\", expect_size=\"10294272\"] \n  7 -> 11 [size =\"10294272\"]\n  7 -> 12 [size =\"10294272\"]\n  8 [size=\"57299627\", alpha=\"0.09\", expect_size=\"17189888\"] \n  8 -> 11 [size =\"17189888\"]\n  9 [size=\"133386240\", alpha=\"0.19\", expect_size=\"40015872\"] \n  9 -> 13 [size =\"40015872\"]\n  10 [size=\"104273920\", alpha=\"0.08\", expect_size=\"31282176\"] \n  10 -> 12 [size =\"31282176\"]\n  11 [size=\"148104533\", alpha=\"0.03\", expect_size=\"44431360\"] \n  11 -> 15 [size =\"44431360\"]\n  11 -> 16 [size =\"44431360\"]\n  11 -> 19 [size =\"44431360\"]\n  12 [size=\"63133013\", alpha=\"0.20\", expect_size=\"18939904\"] \n  12 -> 16 [size =\"18939904\"]\n  12 -> 19 [size =\"18939904\"]\n  13 [size=\"77042347\", alpha=\"0.09\", expect_size=\"23112704\"] \n  13 -> 15 [size =\"23112704\"]\n  13 -> 16 [size =\"23112704\"]\n  13 -> 17 [size =\"23112704\"]\n  13 -> 18 [size =\"23112704\"]\n  13 -> 19 [size =\"23112704\"]\n  14 [size=\"150155947\", alpha=\"0.00\", expect_size=\"45046784\"] \n  14 -> 15 [size =\"45046784\"]\n  14 -> 16 [size =\"45046784\"]\n  14 -> 18 [size =\"45046784\"]\n  15 [size=\"106543787\", alpha=\"0.07\", expect_size=\"31963136\"] \n  15 -> 20 [size =\"31963136\"]\n  15 -> 22 [size =\"31963136\"]\n  15 -> 23 [size =\"31963136\"]\n  15 -> 25 [size =\"31963136\"]\n  15 -> 26 [size =\"31963136\"]\n  16 [size=\"49633280\", alpha=\"0.13\", expect_size=\"14889984\"] \n  16 -> 21 [size =\"14889984\"]\n  16 -> 22 [size =\"14889984\"]\n  16 -> 23 [size =\"14889984\"]\n  16 -> 24 [size =\"14889984\"]\n  16 -> 26 [size =\"14889984\"]\n  17 [size=\"23108267\", alpha=\"0.01\", expect_size=\"6932480\"] \n  17 -> 22 [size =\"6932480\"]\n  17 -> 23 [size =\"6932480\"]\n  17 -> 26 [size =\"6932480\"]\n  18 [size=\"29129387\", alpha=\"0.00\", expect_size=\"8738816\"] \n  18 -> 20 [size =\"8738816\"]\n  18 -> 22 [size =\"8738816\"]\n  18 -> 23 [size =\"8738816\"]\n  18 -> 25 [size =\"8738816\"]\n  18 -> 26 [size =\"8738816\"]\n  19 [size=\"101440853\", alpha=\"0.00\", expect_size=\"30432256\"] \n  19 -> 20 [size =\"30432256\"]\n  19 -> 22 [size =\"30432256\"]\n  19 -> 23 [size =\"30432256\"]\n  19 -> 25 [size =\"30432256\"]\n  20 [size=\"92170240\", alpha=\"0.13\", expect_size=\"27651072\"] \n  20 -> 27 [size =\"27651072\"]\n  20 -> 28 [size =\"27651072\"]\n  20 -> 29 [size =\"27651072\"]\n  20 -> 30 [size =\"27651072\"]\n  20 -> 32 [size =\"27651072\"]\n  21 [size=\"156173653\", alpha=\"0.03\", expect_size=\"46852096\"] \n  21 -> 28 [size =\"46852096\"]\n  21 -> 28 [size =\"46852096\"]\n  21 -> 29 [size =\"46852096\"]\n  21 -> 32 [size =\"46852096\"]\n  21 -> 32 [size =\"46852096\"]\n  22 [size=\"21029547\", alpha=\"0.16\", expect_size=\"6308864\"] \n  22 -> 27 [size =\"6308864\"]\n  22 -> 30 [size =\"6308864\"]\n  23 [size=\"17496747\", alpha=\"0.12\", expect_size=\"5249024\"] \n  23 -> 29 [size =\"5249024\"]\n  23 -> 32 [size =\"5249024\"]\n  24 [size=\"87354027\", alpha=\"0.07\", expect_size=\"26206208\"] \n  24 -> 28 [size =\"26206208\"]\n  24 -> 32 [size =\"26206208\"]\n  25 [size=\"90992640\", alpha=\"0.07\", expect_size=\"27297792\"] \n  25 -> 28 [size =\"27297792\"]\n  25 -> 29 [size =\"27297792\"]\n  25 -> 30 [size =\"27297792\"]\n  25 -> 32 [size =\"27297792\"]\n  26 [size=\"147892907\", alpha=\"0.12\", expect_size=\"44367872\"] \n  26 -> 27 [size =\"44367872\"]\n  26 -> 28 [size =\"44367872\"]\n  26 -> 30 [size =\"44367872\"]\n  26 -> 31 [size =\"44367872\"]\n  26 -> 32 [size =\"44367872\"]\n  27 [size=\"95552853\", alpha=\"0.19\", expect_size=\"28665856\"] \n  27 -> 33 [size =\"28665856\"]\n  27 -> 34 [size =\"28665856\"]\n  27 -> 36 [size =\"28665856\"]\n  28 [size=\"104297813\", alpha=\"0.11\", expect_size=\"31289344\"] \n  28 -> 33 [size =\"31289344\"]\n  28 -> 34 [size =\"31289344\"]\n  28 -> 36 [size =\"31289344\"]\n  29 [size=\"104325120\", alpha=\"0.18\", expect_size=\"31297536\"] \n  29 -> 33 [size =\"31297536\"]\n  29 -> 34 [size =\"31297536\"]\n  29 -> 36 [size =\"31297536\"]\n  30 [size=\"105390080\", alpha=\"0.16\", expect_size=\"31617024\"] \n  30 -> 33 [size =\"31617024\"]\n  30 -> 34 [size =\"31617024\"]\n  30 -> 35 [size =\"31617024\"]\n  30 -> 36 [size =\"31617024\"]\n  30 -> 37 [size =\"31617024\"]\n  31 [size=\"51671040\", alpha=\"0.10\", expect_size=\"15501312\"] \n  31 -> 33 [size =\"15501312\"]\n  31 -> 34 [size =\"15501312\"]\n  31 -> 35 [size =\"15501312\"]\n  31 -> 36 [size =\"15501312\"]\n  31 -> 37 [size =\"15501312\"]\n  32 [size=\"74455040\", alpha=\"0.11\", expect_size=\"22336512\"] \n  32 -> 33 [size =\"22336512\"]\n  32 -> 34 [size =\"22336512\"]\n  32 -> 36 [size =\"22336512\"]\n  32 -> 37 [size =\"22336512\"]\n  33 [size=\"46015147\", alpha=\"0.19\", expect_size=\"13804544\"] \n  33 -> 40 [size =\"13804544\"]\n  34 [size=\"141349547\", alpha=\"0.04\", expect_size=\"42404864\"] \n  34 -> 39 [size =\"42404864\"]\n  34 -> 40 [size =\"42404864\"]\n  35 [size=\"40744960\", alpha=\"0.20\", expect_size=\"12223488\"] \n  35 -> 38 [size =\"12223488\"]\n  35 -> 39 [size =\"12223488\"]\n  35 -> 40 [size =\"12223488\"]\n  36 [size=\"93597013\", alpha=\"0.20\", expect_size=\"28079104\"] \n  36 -> 38 [size =\"28079104\"]\n  36 -> 40 [size =\"28079104\"]\n  36 -> 40 [size =\"28079104\"]\n  37 [size=\"28262400\", alpha=\"0.01\", expect_size=\"8478720\"] \n  37 -> 38 [size =\"8478720\"]\n  38 [size=\"18872320\", alpha=\"0.03\", expect_size=\"5661696\"] \n  39 [size=\"105243307\", alpha=\"0.16\", expect_size=\"31572992\"] \n  40 [size=\"88722773\", alpha=\"0.19\", expect_size=\"26616832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111906133\", alpha=\"0.08\", expect_size=\"33571840\"] \n  1 -> 2 [size =\"33571840\"]\n  2 [size=\"56101547\", alpha=\"0.10\", expect_size=\"16830464\"] \n  2 -> 3 [size =\"16830464\"]\n  3 [size=\"117889707\", alpha=\"0.00\", expect_size=\"35366912\"] \n  3 -> 4 [size =\"35366912\"]\n  4 [size=\"113759573\", alpha=\"0.08\", expect_size=\"34127872\"] \n  4 -> 5 [size =\"34127872\"]\n  5 [size=\"28354560\", alpha=\"0.18\", expect_size=\"8506368\"] \n  5 -> 6 [size =\"8506368\"]\n  6 [size=\"150463147\", alpha=\"0.19\", expect_size=\"45138944\"] \n  6 -> 7 [size =\"45138944\"]\n  7 [size=\"39277227\", alpha=\"0.17\", expect_size=\"11783168\"] \n  7 -> 8 [size =\"11783168\"]\n  8 [size=\"148213760\", alpha=\"0.11\", expect_size=\"44464128\"] \n  8 -> 9 [size =\"44464128\"]\n  9 [size=\"126580053\", alpha=\"0.18\", expect_size=\"37974016\"] \n  9 -> 10 [size =\"37974016\"]\n  10 [size=\"119040000\", alpha=\"0.13\", expect_size=\"35712000\"] \n  10 -> 11 [size =\"35712000\"]\n  11 [size=\"103468373\", alpha=\"0.08\", expect_size=\"31040512\"] \n  11 -> 12 [size =\"31040512\"]\n  12 [size=\"168960000\", alpha=\"0.07\", expect_size=\"50688000\"] \n  12 -> 13 [size =\"50688000\"]\n  13 [size=\"92897280\", alpha=\"0.02\", expect_size=\"27869184\"] \n  13 -> 14 [size =\"27869184\"]\n  14 [size=\"95573333\", alpha=\"0.09\", expect_size=\"28672000\"] \n  14 -> 15 [size =\"28672000\"]\n  15 [size=\"156682240\", alpha=\"0.16\", expect_size=\"47004672\"] \n  15 -> 16 [size =\"47004672\"]\n  16 [size=\"142513493\", alpha=\"0.19\", expect_size=\"42754048\"] \n  16 -> 17 [size =\"42754048\"]\n  17 [size=\"133652480\", alpha=\"0.17\", expect_size=\"40095744\"] \n  17 -> 18 [size =\"40095744\"]\n  18 [size=\"107349333\", alpha=\"0.03\", expect_size=\"32204800\"] \n  18 -> 19 [size =\"32204800\"]\n  19 [size=\"33931947\", alpha=\"0.08\", expect_size=\"10179584\"] \n  19 -> 20 [size =\"10179584\"]\n  20 [size=\"21087573\", alpha=\"0.18\", expect_size=\"6326272\"] \n  20 -> 21 [size =\"6326272\"]\n  21 [size=\"127150080\", alpha=\"0.19\", expect_size=\"38145024\"] \n  21 -> 22 [size =\"38145024\"]\n  22 [size=\"34635093\", alpha=\"0.06\", expect_size=\"10390528\"] \n  22 -> 23 [size =\"10390528\"]\n  23 [size=\"88852480\", alpha=\"0.05\", expect_size=\"26655744\"] \n  23 -> 24 [size =\"26655744\"]\n  24 [size=\"106175147\", alpha=\"0.16\", expect_size=\"31852544\"] \n  24 -> 25 [size =\"31852544\"]\n  25 [size=\"173424640\", alpha=\"0.09\", expect_size=\"52027392\"] \n  25 -> 26 [size =\"52027392\"]\n  26 [size=\"141332480\", alpha=\"0.18\", expect_size=\"42399744\"] \n  26 -> 27 [size =\"42399744\"]\n  27 [size=\"135567360\", alpha=\"0.11\", expect_size=\"40670208\"] \n  27 -> 28 [size =\"40670208\"]\n  28 [size=\"114391040\", alpha=\"0.20\", expect_size=\"34317312\"] \n  28 -> 29 [size =\"34317312\"]\n  29 [size=\"136867840\", alpha=\"0.03\", expect_size=\"41060352\"] \n  29 -> 30 [size =\"41060352\"]\n  30 [size=\"45789867\", alpha=\"0.19\", expect_size=\"13736960\"] \n  30 -> 31 [size =\"13736960\"]\n  31 [size=\"28689067\", alpha=\"0.05\", expect_size=\"8606720\"] \n  31 -> 32 [size =\"8606720\"]\n  32 [size=\"22712320\", alpha=\"0.11\", expect_size=\"6813696\"] \n  32 -> 33 [size =\"6813696\"]\n  33 [size=\"66495147\", alpha=\"0.07\", expect_size=\"19948544\"] \n  33 -> 34 [size =\"19948544\"]\n  34 [size=\"103157760\", alpha=\"0.12\", expect_size=\"30947328\"] \n  34 -> 35 [size =\"30947328\"]\n  35 [size=\"71703893\", alpha=\"0.16\", expect_size=\"21511168\"] \n  35 -> 36 [size =\"21511168\"]\n  36 [size=\"140294827\", alpha=\"0.15\", expect_size=\"42088448\"] \n  36 -> 37 [size =\"42088448\"]\n  37 [size=\"127351467\", alpha=\"0.09\", expect_size=\"38205440\"] \n  37 -> 38 [size =\"38205440\"]\n  38 [size=\"54667947\", alpha=\"0.14\", expect_size=\"16400384\"] \n  38 -> 39 [size =\"16400384\"]\n  39 [size=\"52988587\", alpha=\"0.01\", expect_size=\"15896576\"] \n  39 -> 40 [size =\"15896576\"]\n  40 [size=\"74134187\", alpha=\"0.09\", expect_size=\"22240256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98211840\", alpha=\"0.02\", expect_size=\"29463552\"] \n  1 -> 2 [size =\"29463552\"]\n  2 [size=\"167884800\", alpha=\"0.14\", expect_size=\"50365440\"] \n  2 -> 3 [size =\"50365440\"]\n  3 [size=\"58763947\", alpha=\"0.04\", expect_size=\"17629184\"] \n  3 -> 4 [size =\"17629184\"]\n  4 [size=\"35679573\", alpha=\"0.14\", expect_size=\"10703872\"] \n  4 -> 5 [size =\"10703872\"]\n  5 [size=\"44690773\", alpha=\"0.20\", expect_size=\"13407232\"] \n  5 -> 6 [size =\"13407232\"]\n  6 [size=\"80213333\", alpha=\"0.09\", expect_size=\"24064000\"] \n  6 -> 7 [size =\"24064000\"]\n  7 [size=\"28736853\", alpha=\"0.09\", expect_size=\"8621056\"] \n  7 -> 8 [size =\"8621056\"]\n  8 [size=\"172059307\", alpha=\"0.12\", expect_size=\"51617792\"] \n  8 -> 9 [size =\"51617792\"]\n  9 [size=\"122364587\", alpha=\"0.16\", expect_size=\"36709376\"] \n  9 -> 10 [size =\"36709376\"]\n  10 [size=\"77165227\", alpha=\"0.19\", expect_size=\"23149568\"] \n  10 -> 11 [size =\"23149568\"]\n  11 [size=\"40915627\", alpha=\"0.02\", expect_size=\"12274688\"] \n  11 -> 12 [size =\"12274688\"]\n  12 [size=\"57483947\", alpha=\"0.01\", expect_size=\"17245184\"] \n  12 -> 13 [size =\"17245184\"]\n  13 [size=\"165188267\", alpha=\"0.14\", expect_size=\"49556480\"] \n  13 -> 14 [size =\"49556480\"]\n  14 [size=\"40867840\", alpha=\"0.04\", expect_size=\"12260352\"] \n  14 -> 15 [size =\"12260352\"]\n  15 [size=\"154272427\", alpha=\"0.03\", expect_size=\"46281728\"] \n  15 -> 16 [size =\"46281728\"]\n  16 [size=\"151002453\", alpha=\"0.18\", expect_size=\"45300736\"] \n  16 -> 17 [size =\"45300736\"]\n  17 [size=\"60757333\", alpha=\"0.00\", expect_size=\"18227200\"] \n  17 -> 18 [size =\"18227200\"]\n  18 [size=\"129327787\", alpha=\"0.18\", expect_size=\"38798336\"] \n  18 -> 19 [size =\"38798336\"]\n  19 [size=\"63586987\", alpha=\"0.17\", expect_size=\"19076096\"] \n  19 -> 20 [size =\"19076096\"]\n  20 [size=\"28904107\", alpha=\"0.14\", expect_size=\"8671232\"] \n  20 -> 21 [size =\"8671232\"]\n  21 [size=\"18879147\", alpha=\"0.02\", expect_size=\"5663744\"] \n  21 -> 22 [size =\"5663744\"]\n  22 [size=\"33239040\", alpha=\"0.08\", expect_size=\"9971712\"] \n  22 -> 23 [size =\"9971712\"]\n  23 [size=\"39966720\", alpha=\"0.00\", expect_size=\"11990016\"] \n  23 -> 24 [size =\"11990016\"]\n  24 [size=\"147971413\", alpha=\"0.15\", expect_size=\"44391424\"] \n  24 -> 25 [size =\"44391424\"]\n  25 [size=\"22483627\", alpha=\"0.12\", expect_size=\"6745088\"] \n  25 -> 26 [size =\"6745088\"]\n  26 [size=\"49073493\", alpha=\"0.18\", expect_size=\"14722048\"] \n  26 -> 27 [size =\"14722048\"]\n  27 [size=\"31303680\", alpha=\"0.05\", expect_size=\"9391104\"] \n  27 -> 28 [size =\"9391104\"]\n  28 [size=\"33880747\", alpha=\"0.12\", expect_size=\"10164224\"] \n  28 -> 29 [size =\"10164224\"]\n  29 [size=\"20148907\", alpha=\"0.12\", expect_size=\"6044672\"] \n  29 -> 30 [size =\"6044672\"]\n  30 [size=\"152005973\", alpha=\"0.20\", expect_size=\"45601792\"] \n  30 -> 31 [size =\"45601792\"]\n  31 [size=\"105434453\", alpha=\"0.11\", expect_size=\"31630336\"] \n  31 -> 32 [size =\"31630336\"]\n  32 [size=\"118466560\", alpha=\"0.06\", expect_size=\"35539968\"] \n  32 -> 33 [size =\"35539968\"]\n  33 [size=\"26931200\", alpha=\"0.01\", expect_size=\"8079360\"] \n  33 -> 34 [size =\"8079360\"]\n  34 [size=\"29405867\", alpha=\"0.18\", expect_size=\"8821760\"] \n  34 -> 35 [size =\"8821760\"]\n  35 [size=\"144100693\", alpha=\"0.13\", expect_size=\"43230208\"] \n  35 -> 36 [size =\"43230208\"]\n  36 [size=\"83657387\", alpha=\"0.05\", expect_size=\"25097216\"] \n  36 -> 37 [size =\"25097216\"]\n  37 [size=\"68099413\", alpha=\"0.03\", expect_size=\"20429824\"] \n  37 -> 38 [size =\"20429824\"]\n  38 [size=\"108687360\", alpha=\"0.14\", expect_size=\"32606208\"] \n  38 -> 39 [size =\"32606208\"]\n  39 [size=\"45441707\", alpha=\"0.12\", expect_size=\"13632512\"] \n  39 -> 40 [size =\"13632512\"]\n  40 [size=\"140530347\", alpha=\"0.11\", expect_size=\"42159104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104980480\", alpha=\"0.15\", expect_size=\"31494144\"] \n  1 -> 11 [size =\"31494144\"]\n  2 [size=\"100181333\", alpha=\"0.05\", expect_size=\"30054400\"] \n  2 -> 7 [size =\"30054400\"]\n  2 -> 8 [size =\"30054400\"]\n  2 -> 9 [size =\"30054400\"]\n  2 -> 11 [size =\"30054400\"]\n  3 [size=\"160682667\", alpha=\"0.05\", expect_size=\"48204800\"] \n  3 -> 7 [size =\"48204800\"]\n  3 -> 8 [size =\"48204800\"]\n  4 [size=\"28265813\", alpha=\"0.05\", expect_size=\"8479744\"] \n  4 -> 10 [size =\"8479744\"]\n  5 [size=\"50694827\", alpha=\"0.14\", expect_size=\"15208448\"] \n  5 -> 10 [size =\"15208448\"]\n  5 -> 12 [size =\"15208448\"]\n  6 [size=\"155344213\", alpha=\"0.14\", expect_size=\"46603264\"] \n  6 -> 11 [size =\"46603264\"]\n  6 -> 12 [size =\"46603264\"]\n  7 [size=\"54213973\", alpha=\"0.12\", expect_size=\"16264192\"] \n  8 [size=\"115886080\", alpha=\"0.14\", expect_size=\"34765824\"] \n  8 -> 18 [size =\"34765824\"]\n  9 [size=\"49605973\", alpha=\"0.11\", expect_size=\"14881792\"] \n  9 -> 13 [size =\"14881792\"]\n  9 -> 15 [size =\"14881792\"]\n  10 [size=\"114128213\", alpha=\"0.11\", expect_size=\"34238464\"] \n  10 -> 17 [size =\"34238464\"]\n  11 [size=\"136434347\", alpha=\"0.04\", expect_size=\"40930304\"] \n  11 -> 13 [size =\"40930304\"]\n  11 -> 14 [size =\"40930304\"]\n  11 -> 15 [size =\"40930304\"]\n  11 -> 16 [size =\"40930304\"]\n  11 -> 17 [size =\"40930304\"]\n  12 [size=\"97679360\", alpha=\"0.08\", expect_size=\"29303808\"] \n  12 -> 15 [size =\"29303808\"]\n  12 -> 17 [size =\"29303808\"]\n  13 [size=\"138349227\", alpha=\"0.09\", expect_size=\"41504768\"] \n  13 -> 19 [size =\"41504768\"]\n  13 -> 20 [size =\"41504768\"]\n  14 [size=\"18964480\", alpha=\"0.10\", expect_size=\"5689344\"] \n  14 -> 20 [size =\"5689344\"]\n  14 -> 22 [size =\"5689344\"]\n  15 [size=\"59555840\", alpha=\"0.04\", expect_size=\"17866752\"] \n  15 -> 21 [size =\"17866752\"]\n  15 -> 23 [size =\"17866752\"]\n  16 [size=\"167697067\", alpha=\"0.14\", expect_size=\"50309120\"] \n  16 -> 19 [size =\"50309120\"]\n  16 -> 20 [size =\"50309120\"]\n  17 [size=\"122204160\", alpha=\"0.12\", expect_size=\"36661248\"] \n  17 -> 22 [size =\"36661248\"]\n  17 -> 23 [size =\"36661248\"]\n  18 [size=\"58340693\", alpha=\"0.05\", expect_size=\"17502208\"] \n  18 -> 19 [size =\"17502208\"]\n  19 [size=\"165099520\", alpha=\"0.18\", expect_size=\"49529856\"] \n  19 -> 28 [size =\"49529856\"]\n  20 [size=\"96337920\", alpha=\"0.09\", expect_size=\"28901376\"] \n  20 -> 24 [size =\"28901376\"]\n  20 -> 25 [size =\"28901376\"]\n  20 -> 28 [size =\"28901376\"]\n  21 [size=\"23992320\", alpha=\"0.11\", expect_size=\"7197696\"] \n  21 -> 26 [size =\"7197696\"]\n  21 -> 27 [size =\"7197696\"]\n  22 [size=\"57961813\", alpha=\"0.04\", expect_size=\"17388544\"] \n  22 -> 24 [size =\"17388544\"]\n  22 -> 29 [size =\"17388544\"]\n  23 [size=\"118510933\", alpha=\"0.15\", expect_size=\"35553280\"] \n  23 -> 25 [size =\"35553280\"]\n  23 -> 26 [size =\"35553280\"]\n  23 -> 29 [size =\"35553280\"]\n  24 [size=\"33348267\", alpha=\"0.07\", expect_size=\"10004480\"] \n  24 -> 30 [size =\"10004480\"]\n  24 -> 32 [size =\"10004480\"]\n  24 -> 33 [size =\"10004480\"]\n  24 -> 34 [size =\"10004480\"]\n  24 -> 35 [size =\"10004480\"]\n  25 [size=\"115882667\", alpha=\"0.04\", expect_size=\"34764800\"] \n  25 -> 31 [size =\"34764800\"]\n  26 [size=\"146694827\", alpha=\"0.18\", expect_size=\"44008448\"] \n  26 -> 31 [size =\"44008448\"]\n  27 [size=\"101710507\", alpha=\"0.17\", expect_size=\"30513152\"] \n  27 -> 31 [size =\"30513152\"]\n  27 -> 33 [size =\"30513152\"]\n  28 [size=\"39024640\", alpha=\"0.08\", expect_size=\"11707392\"] \n  28 -> 32 [size =\"11707392\"]\n  28 -> 34 [size =\"11707392\"]\n  28 -> 35 [size =\"11707392\"]\n  29 [size=\"80476160\", alpha=\"0.03\", expect_size=\"24142848\"] \n  29 -> 32 [size =\"24142848\"]\n  29 -> 33 [size =\"24142848\"]\n  29 -> 34 [size =\"24142848\"]\n  29 -> 35 [size =\"24142848\"]\n  30 [size=\"63627947\", alpha=\"0.11\", expect_size=\"19088384\"] \n  30 -> 37 [size =\"19088384\"]\n  30 -> 38 [size =\"19088384\"]\n  31 [size=\"133993813\", alpha=\"0.13\", expect_size=\"40198144\"] \n  32 [size=\"64512000\", alpha=\"0.06\", expect_size=\"19353600\"] \n  32 -> 40 [size =\"19353600\"]\n  33 [size=\"95167147\", alpha=\"0.15\", expect_size=\"28550144\"] \n  33 -> 38 [size =\"28550144\"]\n  33 -> 39 [size =\"28550144\"]\n  33 -> 40 [size =\"28550144\"]\n  34 [size=\"54599680\", alpha=\"0.03\", expect_size=\"16379904\"] \n  34 -> 36 [size =\"16379904\"]\n  34 -> 37 [size =\"16379904\"]\n  34 -> 39 [size =\"16379904\"]\n  35 [size=\"110888960\", alpha=\"0.17\", expect_size=\"33266688\"] \n  35 -> 36 [size =\"33266688\"]\n  35 -> 37 [size =\"33266688\"]\n  36 [size=\"139960320\", alpha=\"0.10\", expect_size=\"41988096\"] \n  37 [size=\"122405547\", alpha=\"0.16\", expect_size=\"36721664\"] \n  38 [size=\"94955520\", alpha=\"0.08\", expect_size=\"28486656\"] \n  39 [size=\"156026880\", alpha=\"0.18\", expect_size=\"46808064\"] \n  40 [size=\"23176533\", alpha=\"0.18\", expect_size=\"6952960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151517867\", alpha=\"0.00\", expect_size=\"45455360\"] \n  1 -> 2 [size =\"45455360\"]\n  2 [size=\"158361600\", alpha=\"0.11\", expect_size=\"47508480\"] \n  2 -> 3 [size =\"47508480\"]\n  3 [size=\"22988800\", alpha=\"0.02\", expect_size=\"6896640\"] \n  3 -> 4 [size =\"6896640\"]\n  4 [size=\"120480427\", alpha=\"0.08\", expect_size=\"36144128\"] \n  4 -> 5 [size =\"36144128\"]\n  5 [size=\"83814400\", alpha=\"0.03\", expect_size=\"25144320\"] \n  5 -> 6 [size =\"25144320\"]\n  6 [size=\"26494293\", alpha=\"0.08\", expect_size=\"7948288\"] \n  6 -> 7 [size =\"7948288\"]\n  7 [size=\"96382293\", alpha=\"0.13\", expect_size=\"28914688\"] \n  7 -> 8 [size =\"28914688\"]\n  8 [size=\"74799787\", alpha=\"0.14\", expect_size=\"22439936\"] \n  8 -> 9 [size =\"22439936\"]\n  9 [size=\"128812373\", alpha=\"0.10\", expect_size=\"38643712\"] \n  9 -> 10 [size =\"38643712\"]\n  10 [size=\"168420693\", alpha=\"0.09\", expect_size=\"50526208\"] \n  10 -> 11 [size =\"50526208\"]\n  11 [size=\"93938347\", alpha=\"0.19\", expect_size=\"28181504\"] \n  11 -> 12 [size =\"28181504\"]\n  12 [size=\"94675627\", alpha=\"0.08\", expect_size=\"28402688\"] \n  12 -> 13 [size =\"28402688\"]\n  13 [size=\"22978560\", alpha=\"0.06\", expect_size=\"6893568\"] \n  13 -> 14 [size =\"6893568\"]\n  14 [size=\"41588053\", alpha=\"0.14\", expect_size=\"12476416\"] \n  14 -> 15 [size =\"12476416\"]\n  15 [size=\"106024960\", alpha=\"0.17\", expect_size=\"31807488\"] \n  15 -> 16 [size =\"31807488\"]\n  16 [size=\"128167253\", alpha=\"0.13\", expect_size=\"38450176\"] \n  16 -> 17 [size =\"38450176\"]\n  17 [size=\"35802453\", alpha=\"0.14\", expect_size=\"10740736\"] \n  17 -> 18 [size =\"10740736\"]\n  18 [size=\"139721387\", alpha=\"0.17\", expect_size=\"41916416\"] \n  18 -> 19 [size =\"41916416\"]\n  19 [size=\"91535360\", alpha=\"0.11\", expect_size=\"27460608\"] \n  19 -> 20 [size =\"27460608\"]\n  20 [size=\"171714560\", alpha=\"0.04\", expect_size=\"51514368\"] \n  20 -> 21 [size =\"51514368\"]\n  21 [size=\"86804480\", alpha=\"0.15\", expect_size=\"26041344\"] \n  21 -> 22 [size =\"26041344\"]\n  22 [size=\"77472427\", alpha=\"0.03\", expect_size=\"23241728\"] \n  22 -> 23 [size =\"23241728\"]\n  23 [size=\"143151787\", alpha=\"0.12\", expect_size=\"42945536\"] \n  23 -> 24 [size =\"42945536\"]\n  24 [size=\"33850027\", alpha=\"0.14\", expect_size=\"10155008\"] \n  24 -> 25 [size =\"10155008\"]\n  25 [size=\"144257707\", alpha=\"0.04\", expect_size=\"43277312\"] \n  25 -> 26 [size =\"43277312\"]\n  26 [size=\"120709120\", alpha=\"0.16\", expect_size=\"36212736\"] \n  26 -> 27 [size =\"36212736\"]\n  27 [size=\"66283520\", alpha=\"0.17\", expect_size=\"19885056\"] \n  27 -> 28 [size =\"19885056\"]\n  28 [size=\"22889813\", alpha=\"0.06\", expect_size=\"6866944\"] \n  28 -> 29 [size =\"6866944\"]\n  29 [size=\"156153173\", alpha=\"0.09\", expect_size=\"46845952\"] \n  29 -> 30 [size =\"46845952\"]\n  30 [size=\"87463253\", alpha=\"0.11\", expect_size=\"26238976\"] \n  30 -> 31 [size =\"26238976\"]\n  31 [size=\"122610347\", alpha=\"0.03\", expect_size=\"36783104\"] \n  31 -> 32 [size =\"36783104\"]\n  32 [size=\"81059840\", alpha=\"0.05\", expect_size=\"24317952\"] \n  32 -> 33 [size =\"24317952\"]\n  33 [size=\"103707307\", alpha=\"0.07\", expect_size=\"31112192\"] \n  33 -> 34 [size =\"31112192\"]\n  34 [size=\"38772053\", alpha=\"0.13\", expect_size=\"11631616\"] \n  34 -> 35 [size =\"11631616\"]\n  35 [size=\"146551467\", alpha=\"0.10\", expect_size=\"43965440\"] \n  35 -> 36 [size =\"43965440\"]\n  36 [size=\"21521067\", alpha=\"0.01\", expect_size=\"6456320\"] \n  36 -> 37 [size =\"6456320\"]\n  37 [size=\"144564907\", alpha=\"0.14\", expect_size=\"43369472\"] \n  37 -> 38 [size =\"43369472\"]\n  38 [size=\"122726400\", alpha=\"0.03\", expect_size=\"36817920\"] \n  38 -> 39 [size =\"36817920\"]\n  39 [size=\"170622293\", alpha=\"0.01\", expect_size=\"51186688\"] \n  39 -> 40 [size =\"51186688\"]\n  40 [size=\"85012480\", alpha=\"0.18\", expect_size=\"25503744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82283520\", alpha=\"0.13\", expect_size=\"32913408\"] \n  1 -> 26 [size =\"32913408\"]\n  1 -> 31 [size =\"32913408\"]\n  1 -> 35 [size =\"32913408\"]\n  1 -> 36 [size =\"32913408\"]\n  1 -> 38 [size =\"32913408\"]\n  1 -> 39 [size =\"32913408\"]\n  2 [size=\"113441280\", alpha=\"0.14\", expect_size=\"45376512\"] \n  2 -> 26 [size =\"45376512\"]\n  2 -> 36 [size =\"45376512\"]\n  2 -> 39 [size =\"45376512\"]\n  2 -> 40 [size =\"45376512\"]\n  3 [size=\"117619200\", alpha=\"0.11\", expect_size=\"47047680\"] \n  3 -> 27 [size =\"47047680\"]\n  3 -> 29 [size =\"47047680\"]\n  3 -> 30 [size =\"47047680\"]\n  3 -> 34 [size =\"47047680\"]\n  3 -> 36 [size =\"47047680\"]\n  3 -> 37 [size =\"47047680\"]\n  3 -> 38 [size =\"47047680\"]\n  4 [size=\"107737600\", alpha=\"0.12\", expect_size=\"43095040\"] \n  4 -> 31 [size =\"43095040\"]\n  4 -> 34 [size =\"43095040\"]\n  4 -> 38 [size =\"43095040\"]\n  5 [size=\"74762240\", alpha=\"0.15\", expect_size=\"29904896\"] \n  5 -> 25 [size =\"29904896\"]\n  5 -> 27 [size =\"29904896\"]\n  5 -> 31 [size =\"29904896\"]\n  5 -> 34 [size =\"29904896\"]\n  5 -> 40 [size =\"29904896\"]\n  6 [size=\"25180160\", alpha=\"0.07\", expect_size=\"10072064\"] \n  6 -> 27 [size =\"10072064\"]\n  6 -> 31 [size =\"10072064\"]\n  6 -> 34 [size =\"10072064\"]\n  7 [size=\"64460800\", alpha=\"0.03\", expect_size=\"25784320\"] \n  7 -> 29 [size =\"25784320\"]\n  7 -> 30 [size =\"25784320\"]\n  7 -> 31 [size =\"25784320\"]\n  7 -> 35 [size =\"25784320\"]\n  7 -> 36 [size =\"25784320\"]\n  8 [size=\"127779840\", alpha=\"0.12\", expect_size=\"51111936\"] \n  8 -> 28 [size =\"51111936\"]\n  8 -> 30 [size =\"51111936\"]\n  8 -> 31 [size =\"51111936\"]\n  8 -> 32 [size =\"51111936\"]\n  8 -> 36 [size =\"51111936\"]\n  8 -> 37 [size =\"51111936\"]\n  8 -> 38 [size =\"51111936\"]\n  8 -> 39 [size =\"51111936\"]\n  9 [size=\"94466560\", alpha=\"0.19\", expect_size=\"37786624\"] \n  9 -> 27 [size =\"37786624\"]\n  9 -> 30 [size =\"37786624\"]\n  9 -> 31 [size =\"37786624\"]\n  9 -> 34 [size =\"37786624\"]\n  9 -> 35 [size =\"37786624\"]\n  9 -> 37 [size =\"37786624\"]\n  9 -> 38 [size =\"37786624\"]\n  10 [size=\"116096000\", alpha=\"0.19\", expect_size=\"46438400\"] \n  10 -> 27 [size =\"46438400\"]\n  10 -> 28 [size =\"46438400\"]\n  10 -> 30 [size =\"46438400\"]\n  10 -> 31 [size =\"46438400\"]\n  10 -> 35 [size =\"46438400\"]\n  10 -> 36 [size =\"46438400\"]\n  10 -> 37 [size =\"46438400\"]\n  10 -> 38 [size =\"46438400\"]\n  11 [size=\"129111040\", alpha=\"0.13\", expect_size=\"51644416\"] \n  11 -> 25 [size =\"51644416\"]\n  11 -> 29 [size =\"51644416\"]\n  11 -> 35 [size =\"51644416\"]\n  11 -> 39 [size =\"51644416\"]\n  12 [size=\"87859200\", alpha=\"0.14\", expect_size=\"35143680\"] \n  12 -> 27 [size =\"35143680\"]\n  12 -> 31 [size =\"35143680\"]\n  12 -> 36 [size =\"35143680\"]\n  12 -> 37 [size =\"35143680\"]\n  12 -> 38 [size =\"35143680\"]\n  13 [size=\"55216640\", alpha=\"0.06\", expect_size=\"22086656\"] \n  13 -> 26 [size =\"22086656\"]\n  13 -> 27 [size =\"22086656\"]\n  13 -> 29 [size =\"22086656\"]\n  13 -> 30 [size =\"22086656\"]\n  13 -> 31 [size =\"22086656\"]\n  13 -> 32 [size =\"22086656\"]\n  13 -> 34 [size =\"22086656\"]\n  13 -> 36 [size =\"22086656\"]\n  13 -> 37 [size =\"22086656\"]\n  13 -> 38 [size =\"22086656\"]\n  14 [size=\"119859200\", alpha=\"0.13\", expect_size=\"47943680\"] \n  14 -> 27 [size =\"47943680\"]\n  14 -> 31 [size =\"47943680\"]\n  14 -> 34 [size =\"47943680\"]\n  14 -> 38 [size =\"47943680\"]\n  15 [size=\"72540160\", alpha=\"0.14\", expect_size=\"29016064\"] \n  15 -> 26 [size =\"29016064\"]\n  15 -> 27 [size =\"29016064\"]\n  15 -> 30 [size =\"29016064\"]\n  15 -> 35 [size =\"29016064\"]\n  15 -> 37 [size =\"29016064\"]\n  16 [size=\"45739520\", alpha=\"0.14\", expect_size=\"18295808\"] \n  16 -> 32 [size =\"18295808\"]\n  16 -> 34 [size =\"18295808\"]\n  16 -> 35 [size =\"18295808\"]\n  17 [size=\"84922880\", alpha=\"0.02\", expect_size=\"33969152\"] \n  17 -> 27 [size =\"33969152\"]\n  17 -> 31 [size =\"33969152\"]\n  17 -> 32 [size =\"33969152\"]\n  17 -> 33 [size =\"33969152\"]\n  17 -> 34 [size =\"33969152\"]\n  17 -> 36 [size =\"33969152\"]\n  17 -> 37 [size =\"33969152\"]\n  17 -> 38 [size =\"33969152\"]\n  17 -> 40 [size =\"33969152\"]\n  18 [size=\"103385600\", alpha=\"0.14\", expect_size=\"41354240\"] \n  18 -> 27 [size =\"41354240\"]\n  18 -> 28 [size =\"41354240\"]\n  18 -> 29 [size =\"41354240\"]\n  18 -> 35 [size =\"41354240\"]\n  18 -> 36 [size =\"41354240\"]\n  18 -> 38 [size =\"41354240\"]\n  18 -> 40 [size =\"41354240\"]\n  19 [size=\"57822720\", alpha=\"0.11\", expect_size=\"23129088\"] \n  19 -> 28 [size =\"23129088\"]\n  19 -> 29 [size =\"23129088\"]\n  19 -> 35 [size =\"23129088\"]\n  19 -> 36 [size =\"23129088\"]\n  19 -> 38 [size =\"23129088\"]\n  20 [size=\"52149760\", alpha=\"0.13\", expect_size=\"20859904\"] \n  20 -> 29 [size =\"20859904\"]\n  20 -> 31 [size =\"20859904\"]\n  20 -> 38 [size =\"20859904\"]\n  21 [size=\"46942720\", alpha=\"0.06\", expect_size=\"18777088\"] \n  21 -> 30 [size =\"18777088\"]\n  21 -> 34 [size =\"18777088\"]\n  21 -> 36 [size =\"18777088\"]\n  21 -> 37 [size =\"18777088\"]\n  22 [size=\"122076160\", alpha=\"0.17\", expect_size=\"48830464\"] \n  22 -> 26 [size =\"48830464\"]\n  22 -> 28 [size =\"48830464\"]\n  22 -> 30 [size =\"48830464\"]\n  22 -> 35 [size =\"48830464\"]\n  22 -> 37 [size =\"48830464\"]\n  22 -> 38 [size =\"48830464\"]\n  23 [size=\"88043520\", alpha=\"0.06\", expect_size=\"35217408\"] \n  23 -> 26 [size =\"35217408\"]\n  23 -> 30 [size =\"35217408\"]\n  23 -> 35 [size =\"35217408\"]\n  24 [size=\"122309120\", alpha=\"0.10\", expect_size=\"48923648\"] \n  24 -> 27 [size =\"48923648\"]\n  24 -> 28 [size =\"48923648\"]\n  24 -> 30 [size =\"48923648\"]\n  24 -> 34 [size =\"48923648\"]\n  24 -> 36 [size =\"48923648\"]\n  25 [size=\"79672320\", alpha=\"0.05\", expect_size=\"31868928\"] \n  26 [size=\"44234240\", alpha=\"0.02\", expect_size=\"17693696\"] \n  27 [size=\"127856640\", alpha=\"0.08\", expect_size=\"51142656\"] \n  28 [size=\"20252160\", alpha=\"0.13\", expect_size=\"8100864\"] \n  29 [size=\"101278720\", alpha=\"0.12\", expect_size=\"40511488\"] \n  30 [size=\"45493760\", alpha=\"0.08\", expect_size=\"18197504\"] \n  31 [size=\"119518720\", alpha=\"0.04\", expect_size=\"47807488\"] \n  32 [size=\"38630400\", alpha=\"0.13\", expect_size=\"15452160\"] \n  33 [size=\"21135360\", alpha=\"0.09\", expect_size=\"8454144\"] \n  34 [size=\"53578240\", alpha=\"0.03\", expect_size=\"21431296\"] \n  35 [size=\"112627200\", alpha=\"0.07\", expect_size=\"45050880\"] \n  36 [size=\"24007680\", alpha=\"0.17\", expect_size=\"9603072\"] \n  37 [size=\"35724800\", alpha=\"0.18\", expect_size=\"14289920\"] \n  38 [size=\"81167360\", alpha=\"0.16\", expect_size=\"32466944\"] \n  39 [size=\"39078400\", alpha=\"0.00\", expect_size=\"15631360\"] \n  40 [size=\"108784640\", alpha=\"0.11\", expect_size=\"43513856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88477696\", alpha=\"0.12\", expect_size=\"44238848\"] \n  1 -> 2 [size =\"44238848\"]\n  2 [size=\"12187648\", alpha=\"0.08\", expect_size=\"6093824\"] \n  2 -> 3 [size =\"6093824\"]\n  3 [size=\"15790080\", alpha=\"0.03\", expect_size=\"7895040\"] \n  3 -> 4 [size =\"7895040\"]\n  4 [size=\"57223168\", alpha=\"0.18\", expect_size=\"28611584\"] \n  4 -> 5 [size =\"28611584\"]\n  5 [size=\"66840576\", alpha=\"0.09\", expect_size=\"33420288\"] \n  5 -> 6 [size =\"33420288\"]\n  6 [size=\"30220288\", alpha=\"0.01\", expect_size=\"15110144\"] \n  6 -> 7 [size =\"15110144\"]\n  7 [size=\"41428992\", alpha=\"0.02\", expect_size=\"20714496\"] \n  7 -> 8 [size =\"20714496\"]\n  8 [size=\"87767040\", alpha=\"0.17\", expect_size=\"43883520\"] \n  8 -> 9 [size =\"43883520\"]\n  9 [size=\"65118208\", alpha=\"0.14\", expect_size=\"32559104\"] \n  9 -> 10 [size =\"32559104\"]\n  10 [size=\"69822464\", alpha=\"0.01\", expect_size=\"34911232\"] \n  10 -> 11 [size =\"34911232\"]\n  11 [size=\"102420480\", alpha=\"0.18\", expect_size=\"51210240\"] \n  11 -> 12 [size =\"51210240\"]\n  12 [size=\"66021376\", alpha=\"0.15\", expect_size=\"33010688\"] \n  12 -> 13 [size =\"33010688\"]\n  13 [size=\"11538432\", alpha=\"0.20\", expect_size=\"5769216\"] \n  13 -> 14 [size =\"5769216\"]\n  14 [size=\"25331712\", alpha=\"0.00\", expect_size=\"12665856\"] \n  14 -> 15 [size =\"12665856\"]\n  15 [size=\"15988736\", alpha=\"0.01\", expect_size=\"7994368\"] \n  15 -> 16 [size =\"7994368\"]\n  16 [size=\"56619008\", alpha=\"0.05\", expect_size=\"28309504\"] \n  16 -> 17 [size =\"28309504\"]\n  17 [size=\"62955520\", alpha=\"0.05\", expect_size=\"31477760\"] \n  17 -> 18 [size =\"31477760\"]\n  18 [size=\"70621184\", alpha=\"0.11\", expect_size=\"35310592\"] \n  18 -> 19 [size =\"35310592\"]\n  19 [size=\"56725504\", alpha=\"0.15\", expect_size=\"28362752\"] \n  19 -> 20 [size =\"28362752\"]\n  20 [size=\"30584832\", alpha=\"0.14\", expect_size=\"15292416\"] \n  20 -> 21 [size =\"15292416\"]\n  21 [size=\"37636096\", alpha=\"0.10\", expect_size=\"18818048\"] \n  21 -> 22 [size =\"18818048\"]\n  22 [size=\"28579840\", alpha=\"0.06\", expect_size=\"14289920\"] \n  22 -> 23 [size =\"14289920\"]\n  23 [size=\"99708928\", alpha=\"0.04\", expect_size=\"49854464\"] \n  23 -> 24 [size =\"49854464\"]\n  24 [size=\"97820672\", alpha=\"0.11\", expect_size=\"48910336\"] \n  24 -> 25 [size =\"48910336\"]\n  25 [size=\"99125248\", alpha=\"0.10\", expect_size=\"49562624\"] \n  25 -> 26 [size =\"49562624\"]\n  26 [size=\"101801984\", alpha=\"0.13\", expect_size=\"50900992\"] \n  26 -> 27 [size =\"50900992\"]\n  27 [size=\"32768000\", alpha=\"0.03\", expect_size=\"16384000\"] \n  27 -> 28 [size =\"16384000\"]\n  28 [size=\"58236928\", alpha=\"0.10\", expect_size=\"29118464\"] \n  28 -> 29 [size =\"29118464\"]\n  29 [size=\"16541696\", alpha=\"0.07\", expect_size=\"8270848\"] \n  29 -> 30 [size =\"8270848\"]\n  30 [size=\"86935552\", alpha=\"0.18\", expect_size=\"43467776\"] \n  30 -> 31 [size =\"43467776\"]\n  31 [size=\"59682816\", alpha=\"0.08\", expect_size=\"29841408\"] \n  31 -> 32 [size =\"29841408\"]\n  32 [size=\"12773376\", alpha=\"0.09\", expect_size=\"6386688\"] \n  32 -> 33 [size =\"6386688\"]\n  33 [size=\"42283008\", alpha=\"0.11\", expect_size=\"21141504\"] \n  33 -> 34 [size =\"21141504\"]\n  34 [size=\"59146240\", alpha=\"0.16\", expect_size=\"29573120\"] \n  34 -> 35 [size =\"29573120\"]\n  35 [size=\"15726592\", alpha=\"0.03\", expect_size=\"7863296\"] \n  35 -> 36 [size =\"7863296\"]\n  36 [size=\"62752768\", alpha=\"0.19\", expect_size=\"31376384\"] \n  36 -> 37 [size =\"31376384\"]\n  37 [size=\"31215616\", alpha=\"0.06\", expect_size=\"15607808\"] \n  37 -> 38 [size =\"15607808\"]\n  38 [size=\"46432256\", alpha=\"0.06\", expect_size=\"23216128\"] \n  38 -> 39 [size =\"23216128\"]\n  39 [size=\"91316224\", alpha=\"0.15\", expect_size=\"45658112\"] \n  39 -> 40 [size =\"45658112\"]\n  40 [size=\"31754240\", alpha=\"0.09\", expect_size=\"15877120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48807253\", alpha=\"0.11\", expect_size=\"14642176\"] \n  1 -> 35 [size =\"14642176\"]\n  2 [size=\"143499947\", alpha=\"0.16\", expect_size=\"43049984\"] \n  2 -> 36 [size =\"43049984\"]\n  2 -> 37 [size =\"43049984\"]\n  2 -> 39 [size =\"43049984\"]\n  2 -> 40 [size =\"43049984\"]\n  3 [size=\"97355093\", alpha=\"0.12\", expect_size=\"29206528\"] \n  4 [size=\"39348907\", alpha=\"0.04\", expect_size=\"11804672\"] \n  4 -> 38 [size =\"11804672\"]\n  4 -> 39 [size =\"11804672\"]\n  5 [size=\"99502080\", alpha=\"0.03\", expect_size=\"29850624\"] \n  5 -> 38 [size =\"29850624\"]\n  5 -> 39 [size =\"29850624\"]\n  6 [size=\"40987307\", alpha=\"0.03\", expect_size=\"12296192\"] \n  6 -> 35 [size =\"12296192\"]\n  6 -> 39 [size =\"12296192\"]\n  7 [size=\"33536000\", alpha=\"0.12\", expect_size=\"10060800\"] \n  7 -> 35 [size =\"10060800\"]\n  7 -> 38 [size =\"10060800\"]\n  8 [size=\"55282347\", alpha=\"0.02\", expect_size=\"16584704\"] \n  8 -> 37 [size =\"16584704\"]\n  8 -> 38 [size =\"16584704\"]\n  8 -> 39 [size =\"16584704\"]\n  9 [size=\"118118400\", alpha=\"0.13\", expect_size=\"35435520\"] \n  9 -> 35 [size =\"35435520\"]\n  9 -> 38 [size =\"35435520\"]\n  9 -> 39 [size =\"35435520\"]\n  9 -> 40 [size =\"35435520\"]\n  10 [size=\"23241387\", alpha=\"0.08\", expect_size=\"6972416\"] \n  10 -> 34 [size =\"6972416\"]\n  11 [size=\"92852907\", alpha=\"0.04\", expect_size=\"27855872\"] \n  11 -> 35 [size =\"27855872\"]\n  11 -> 37 [size =\"27855872\"]\n  11 -> 40 [size =\"27855872\"]\n  12 [size=\"18199893\", alpha=\"0.10\", expect_size=\"5459968\"] \n  12 -> 35 [size =\"5459968\"]\n  12 -> 38 [size =\"5459968\"]\n  12 -> 39 [size =\"5459968\"]\n  13 [size=\"147387733\", alpha=\"0.15\", expect_size=\"44216320\"] \n  13 -> 39 [size =\"44216320\"]\n  14 [size=\"80725333\", alpha=\"0.19\", expect_size=\"24217600\"] \n  14 -> 39 [size =\"24217600\"]\n  15 [size=\"114234027\", alpha=\"0.18\", expect_size=\"34270208\"] \n  15 -> 35 [size =\"34270208\"]\n  15 -> 38 [size =\"34270208\"]\n  16 [size=\"137557333\", alpha=\"0.07\", expect_size=\"41267200\"] \n  16 -> 35 [size =\"41267200\"]\n  17 [size=\"164307627\", alpha=\"0.17\", expect_size=\"49292288\"] \n  17 -> 35 [size =\"49292288\"]\n  17 -> 38 [size =\"49292288\"]\n  18 [size=\"98044587\", alpha=\"0.08\", expect_size=\"29413376\"] \n  18 -> 34 [size =\"29413376\"]\n  18 -> 35 [size =\"29413376\"]\n  18 -> 36 [size =\"29413376\"]\n  18 -> 38 [size =\"29413376\"]\n  19 [size=\"112469333\", alpha=\"0.03\", expect_size=\"33740800\"] \n  19 -> 34 [size =\"33740800\"]\n  19 -> 35 [size =\"33740800\"]\n  19 -> 39 [size =\"33740800\"]\n  20 [size=\"58938027\", alpha=\"0.11\", expect_size=\"17681408\"] \n  20 -> 35 [size =\"17681408\"]\n  20 -> 39 [size =\"17681408\"]\n  20 -> 40 [size =\"17681408\"]\n  21 [size=\"119394987\", alpha=\"0.02\", expect_size=\"35818496\"] \n  21 -> 36 [size =\"35818496\"]\n  21 -> 38 [size =\"35818496\"]\n  22 [size=\"152511147\", alpha=\"0.09\", expect_size=\"45753344\"] \n  22 -> 40 [size =\"45753344\"]\n  23 [size=\"75943253\", alpha=\"0.07\", expect_size=\"22782976\"] \n  23 -> 34 [size =\"22782976\"]\n  23 -> 35 [size =\"22782976\"]\n  23 -> 38 [size =\"22782976\"]\n  23 -> 40 [size =\"22782976\"]\n  24 [size=\"39601493\", alpha=\"0.07\", expect_size=\"11880448\"] \n  24 -> 35 [size =\"11880448\"]\n  24 -> 38 [size =\"11880448\"]\n  24 -> 38 [size =\"11880448\"]\n  24 -> 40 [size =\"11880448\"]\n  25 [size=\"28422827\", alpha=\"0.18\", expect_size=\"8526848\"] \n  25 -> 35 [size =\"8526848\"]\n  25 -> 38 [size =\"8526848\"]\n  25 -> 39 [size =\"8526848\"]\n  26 [size=\"173223253\", alpha=\"0.12\", expect_size=\"51966976\"] \n  26 -> 34 [size =\"51966976\"]\n  26 -> 36 [size =\"51966976\"]\n  26 -> 38 [size =\"51966976\"]\n  26 -> 39 [size =\"51966976\"]\n  26 -> 40 [size =\"51966976\"]\n  27 [size=\"67938987\", alpha=\"0.07\", expect_size=\"20381696\"] \n  27 -> 35 [size =\"20381696\"]\n  27 -> 37 [size =\"20381696\"]\n  27 -> 38 [size =\"20381696\"]\n  27 -> 39 [size =\"20381696\"]\n  28 [size=\"42103467\", alpha=\"0.08\", expect_size=\"12631040\"] \n  28 -> 34 [size =\"12631040\"]\n  28 -> 35 [size =\"12631040\"]\n  28 -> 38 [size =\"12631040\"]\n  28 -> 39 [size =\"12631040\"]\n  29 [size=\"107523413\", alpha=\"0.01\", expect_size=\"32257024\"] \n  29 -> 35 [size =\"32257024\"]\n  29 -> 38 [size =\"32257024\"]\n  30 [size=\"134929067\", alpha=\"0.15\", expect_size=\"40478720\"] \n  30 -> 35 [size =\"40478720\"]\n  31 [size=\"62576640\", alpha=\"0.19\", expect_size=\"18772992\"] \n  31 -> 38 [size =\"18772992\"]\n  32 [size=\"79086933\", alpha=\"0.03\", expect_size=\"23726080\"] \n  33 [size=\"153197227\", alpha=\"0.03\", expect_size=\"45959168\"] \n  33 -> 35 [size =\"45959168\"]\n  34 [size=\"50216960\", alpha=\"0.11\", expect_size=\"15065088\"] \n  35 [size=\"106598400\", alpha=\"0.12\", expect_size=\"31979520\"] \n  36 [size=\"89791147\", alpha=\"0.08\", expect_size=\"26937344\"] \n  37 [size=\"23309653\", alpha=\"0.02\", expect_size=\"6992896\"] \n  38 [size=\"80506880\", alpha=\"0.07\", expect_size=\"24152064\"] \n  39 [size=\"141902507\", alpha=\"0.04\", expect_size=\"42570752\"] \n  40 [size=\"150852267\", alpha=\"0.06\", expect_size=\"45255680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38799360\", alpha=\"0.08\", expect_size=\"19399680\"] \n  1 -> 33 [size =\"19399680\"]\n  1 -> 35 [size =\"19399680\"]\n  1 -> 36 [size =\"19399680\"]\n  1 -> 38 [size =\"19399680\"]\n  1 -> 39 [size =\"19399680\"]\n  1 -> 40 [size =\"19399680\"]\n  2 [size=\"80087040\", alpha=\"0.08\", expect_size=\"40043520\"] \n  2 -> 31 [size =\"40043520\"]\n  2 -> 32 [size =\"40043520\"]\n  2 -> 38 [size =\"40043520\"]\n  2 -> 39 [size =\"40043520\"]\n  2 -> 40 [size =\"40043520\"]\n  3 [size=\"68280320\", alpha=\"0.02\", expect_size=\"34140160\"] \n  3 -> 31 [size =\"34140160\"]\n  3 -> 32 [size =\"34140160\"]\n  3 -> 35 [size =\"34140160\"]\n  3 -> 38 [size =\"34140160\"]\n  4 [size=\"100624384\", alpha=\"0.16\", expect_size=\"50312192\"] \n  4 -> 33 [size =\"50312192\"]\n  4 -> 35 [size =\"50312192\"]\n  4 -> 38 [size =\"50312192\"]\n  4 -> 39 [size =\"50312192\"]\n  4 -> 40 [size =\"50312192\"]\n  5 [size=\"104431616\", alpha=\"0.00\", expect_size=\"52215808\"] \n  5 -> 30 [size =\"52215808\"]\n  5 -> 33 [size =\"52215808\"]\n  5 -> 34 [size =\"52215808\"]\n  5 -> 36 [size =\"52215808\"]\n  5 -> 37 [size =\"52215808\"]\n  5 -> 38 [size =\"52215808\"]\n  5 -> 39 [size =\"52215808\"]\n  6 [size=\"73431040\", alpha=\"0.20\", expect_size=\"36715520\"] \n  6 -> 33 [size =\"36715520\"]\n  6 -> 33 [size =\"36715520\"]\n  6 -> 34 [size =\"36715520\"]\n  6 -> 37 [size =\"36715520\"]\n  6 -> 37 [size =\"36715520\"]\n  6 -> 38 [size =\"36715520\"]\n  6 -> 39 [size =\"36715520\"]\n  6 -> 40 [size =\"36715520\"]\n  7 [size=\"32536576\", alpha=\"0.09\", expect_size=\"16268288\"] \n  7 -> 30 [size =\"16268288\"]\n  7 -> 32 [size =\"16268288\"]\n  7 -> 33 [size =\"16268288\"]\n  7 -> 35 [size =\"16268288\"]\n  7 -> 36 [size =\"16268288\"]\n  7 -> 37 [size =\"16268288\"]\n  7 -> 39 [size =\"16268288\"]\n  7 -> 40 [size =\"16268288\"]\n  8 [size=\"54544384\", alpha=\"0.01\", expect_size=\"27272192\"] \n  8 -> 32 [size =\"27272192\"]\n  8 -> 33 [size =\"27272192\"]\n  8 -> 33 [size =\"27272192\"]\n  8 -> 34 [size =\"27272192\"]\n  8 -> 35 [size =\"27272192\"]\n  8 -> 36 [size =\"27272192\"]\n  8 -> 37 [size =\"27272192\"]\n  8 -> 39 [size =\"27272192\"]\n  9 [size=\"14317568\", alpha=\"0.07\", expect_size=\"7158784\"] \n  9 -> 31 [size =\"7158784\"]\n  9 -> 32 [size =\"7158784\"]\n  9 -> 33 [size =\"7158784\"]\n  9 -> 34 [size =\"7158784\"]\n  9 -> 35 [size =\"7158784\"]\n  9 -> 36 [size =\"7158784\"]\n  9 -> 37 [size =\"7158784\"]\n  9 -> 40 [size =\"7158784\"]\n  10 [size=\"23877632\", alpha=\"0.05\", expect_size=\"11938816\"] \n  10 -> 30 [size =\"11938816\"]\n  10 -> 32 [size =\"11938816\"]\n  10 -> 33 [size =\"11938816\"]\n  10 -> 36 [size =\"11938816\"]\n  10 -> 37 [size =\"11938816\"]\n  10 -> 38 [size =\"11938816\"]\n  10 -> 40 [size =\"11938816\"]\n  11 [size=\"96016384\", alpha=\"0.04\", expect_size=\"48008192\"] \n  11 -> 32 [size =\"48008192\"]\n  11 -> 35 [size =\"48008192\"]\n  11 -> 36 [size =\"48008192\"]\n  11 -> 37 [size =\"48008192\"]\n  11 -> 37 [size =\"48008192\"]\n  11 -> 39 [size =\"48008192\"]\n  11 -> 40 [size =\"48008192\"]\n  12 [size=\"38289408\", alpha=\"0.05\", expect_size=\"19144704\"] \n  12 -> 32 [size =\"19144704\"]\n  12 -> 36 [size =\"19144704\"]\n  12 -> 37 [size =\"19144704\"]\n  12 -> 39 [size =\"19144704\"]\n  13 [size=\"76539904\", alpha=\"0.13\", expect_size=\"38269952\"] \n  13 -> 32 [size =\"38269952\"]\n  13 -> 33 [size =\"38269952\"]\n  13 -> 34 [size =\"38269952\"]\n  13 -> 35 [size =\"38269952\"]\n  13 -> 37 [size =\"38269952\"]\n  13 -> 38 [size =\"38269952\"]\n  13 -> 39 [size =\"38269952\"]\n  13 -> 40 [size =\"38269952\"]\n  14 [size=\"84834304\", alpha=\"0.12\", expect_size=\"42417152\"] \n  14 -> 30 [size =\"42417152\"]\n  14 -> 32 [size =\"42417152\"]\n  14 -> 33 [size =\"42417152\"]\n  14 -> 34 [size =\"42417152\"]\n  14 -> 37 [size =\"42417152\"]\n  14 -> 39 [size =\"42417152\"]\n  15 [size=\"66723840\", alpha=\"0.10\", expect_size=\"33361920\"] \n  15 -> 30 [size =\"33361920\"]\n  15 -> 32 [size =\"33361920\"]\n  15 -> 33 [size =\"33361920\"]\n  15 -> 34 [size =\"33361920\"]\n  15 -> 36 [size =\"33361920\"]\n  15 -> 37 [size =\"33361920\"]\n  15 -> 39 [size =\"33361920\"]\n  16 [size=\"66859008\", alpha=\"0.06\", expect_size=\"33429504\"] \n  16 -> 31 [size =\"33429504\"]\n  16 -> 32 [size =\"33429504\"]\n  16 -> 34 [size =\"33429504\"]\n  16 -> 37 [size =\"33429504\"]\n  16 -> 38 [size =\"33429504\"]\n  17 [size=\"65148928\", alpha=\"0.08\", expect_size=\"32574464\"] \n  17 -> 30 [size =\"32574464\"]\n  17 -> 32 [size =\"32574464\"]\n  17 -> 34 [size =\"32574464\"]\n  17 -> 37 [size =\"32574464\"]\n  17 -> 38 [size =\"32574464\"]\n  18 [size=\"15161344\", alpha=\"0.19\", expect_size=\"7580672\"] \n  18 -> 33 [size =\"7580672\"]\n  18 -> 34 [size =\"7580672\"]\n  18 -> 37 [size =\"7580672\"]\n  18 -> 37 [size =\"7580672\"]\n  18 -> 38 [size =\"7580672\"]\n  19 [size=\"18341888\", alpha=\"0.11\", expect_size=\"9170944\"] \n  19 -> 30 [size =\"9170944\"]\n  19 -> 32 [size =\"9170944\"]\n  19 -> 33 [size =\"9170944\"]\n  19 -> 34 [size =\"9170944\"]\n  19 -> 36 [size =\"9170944\"]\n  19 -> 37 [size =\"9170944\"]\n  19 -> 38 [size =\"9170944\"]\n  19 -> 39 [size =\"9170944\"]\n  20 [size=\"49014784\", alpha=\"0.13\", expect_size=\"24507392\"] \n  20 -> 32 [size =\"24507392\"]\n  20 -> 33 [size =\"24507392\"]\n  20 -> 34 [size =\"24507392\"]\n  20 -> 34 [size =\"24507392\"]\n  20 -> 37 [size =\"24507392\"]\n  20 -> 38 [size =\"24507392\"]\n  20 -> 38 [size =\"24507392\"]\n  20 -> 39 [size =\"24507392\"]\n  21 [size=\"73816064\", alpha=\"0.00\", expect_size=\"36908032\"] \n  21 -> 32 [size =\"36908032\"]\n  21 -> 33 [size =\"36908032\"]\n  21 -> 38 [size =\"36908032\"]\n  21 -> 39 [size =\"36908032\"]\n  21 -> 40 [size =\"36908032\"]\n  22 [size=\"95027200\", alpha=\"0.03\", expect_size=\"47513600\"] \n  22 -> 30 [size =\"47513600\"]\n  22 -> 33 [size =\"47513600\"]\n  22 -> 34 [size =\"47513600\"]\n  22 -> 38 [size =\"47513600\"]\n  22 -> 39 [size =\"47513600\"]\n  22 -> 40 [size =\"47513600\"]\n  23 [size=\"23699456\", alpha=\"0.17\", expect_size=\"11849728\"] \n  23 -> 30 [size =\"11849728\"]\n  23 -> 31 [size =\"11849728\"]\n  23 -> 32 [size =\"11849728\"]\n  23 -> 33 [size =\"11849728\"]\n  23 -> 34 [size =\"11849728\"]\n  23 -> 36 [size =\"11849728\"]\n  23 -> 37 [size =\"11849728\"]\n  23 -> 38 [size =\"11849728\"]\n  23 -> 40 [size =\"11849728\"]\n  24 [size=\"86263808\", alpha=\"0.11\", expect_size=\"43131904\"] \n  24 -> 30 [size =\"43131904\"]\n  24 -> 31 [size =\"43131904\"]\n  24 -> 33 [size =\"43131904\"]\n  24 -> 34 [size =\"43131904\"]\n  24 -> 35 [size =\"43131904\"]\n  24 -> 37 [size =\"43131904\"]\n  24 -> 38 [size =\"43131904\"]\n  24 -> 38 [size =\"43131904\"]\n  24 -> 39 [size =\"43131904\"]\n  24 -> 40 [size =\"43131904\"]\n  25 [size=\"50216960\", alpha=\"0.04\", expect_size=\"25108480\"] \n  25 -> 30 [size =\"25108480\"]\n  25 -> 31 [size =\"25108480\"]\n  25 -> 33 [size =\"25108480\"]\n  25 -> 35 [size =\"25108480\"]\n  25 -> 38 [size =\"25108480\"]\n  25 -> 39 [size =\"25108480\"]\n  25 -> 40 [size =\"25108480\"]\n  26 [size=\"99289088\", alpha=\"0.11\", expect_size=\"49644544\"] \n  26 -> 30 [size =\"49644544\"]\n  26 -> 33 [size =\"49644544\"]\n  26 -> 35 [size =\"49644544\"]\n  26 -> 37 [size =\"49644544\"]\n  26 -> 38 [size =\"49644544\"]\n  26 -> 40 [size =\"49644544\"]\n  26 -> 40 [size =\"49644544\"]\n  27 [size=\"33767424\", alpha=\"0.03\", expect_size=\"16883712\"] \n  27 -> 30 [size =\"16883712\"]\n  27 -> 33 [size =\"16883712\"]\n  27 -> 34 [size =\"16883712\"]\n  27 -> 35 [size =\"16883712\"]\n  27 -> 38 [size =\"16883712\"]\n  27 -> 40 [size =\"16883712\"]\n  28 [size=\"72136704\", alpha=\"0.03\", expect_size=\"36068352\"] \n  28 -> 30 [size =\"36068352\"]\n  28 -> 32 [size =\"36068352\"]\n  28 -> 35 [size =\"36068352\"]\n  28 -> 37 [size =\"36068352\"]\n  28 -> 38 [size =\"36068352\"]\n  28 -> 39 [size =\"36068352\"]\n  28 -> 40 [size =\"36068352\"]\n  29 [size=\"65591296\", alpha=\"0.05\", expect_size=\"32795648\"] \n  29 -> 32 [size =\"32795648\"]\n  29 -> 35 [size =\"32795648\"]\n  29 -> 37 [size =\"32795648\"]\n  29 -> 40 [size =\"32795648\"]\n  30 [size=\"24225792\", alpha=\"0.10\", expect_size=\"12112896\"] \n  31 [size=\"84385792\", alpha=\"0.12\", expect_size=\"42192896\"] \n  32 [size=\"85641216\", alpha=\"0.01\", expect_size=\"42820608\"] \n  33 [size=\"97597440\", alpha=\"0.03\", expect_size=\"48798720\"] \n  34 [size=\"83671040\", alpha=\"0.02\", expect_size=\"41835520\"] \n  35 [size=\"39634944\", alpha=\"0.12\", expect_size=\"19817472\"] \n  36 [size=\"59435008\", alpha=\"0.14\", expect_size=\"29717504\"] \n  37 [size=\"17272832\", alpha=\"0.08\", expect_size=\"8636416\"] \n  38 [size=\"29571072\", alpha=\"0.03\", expect_size=\"14785536\"] \n  39 [size=\"46020608\", alpha=\"0.19\", expect_size=\"23010304\"] \n  40 [size=\"70453248\", alpha=\"0.04\", expect_size=\"35226624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34669227\", alpha=\"0.08\", expect_size=\"10400768\"] \n  1 -> 2 [size =\"10400768\"]\n  2 [size=\"75468800\", alpha=\"0.08\", expect_size=\"22640640\"] \n  2 -> 3 [size =\"22640640\"]\n  3 [size=\"126289920\", alpha=\"0.01\", expect_size=\"37886976\"] \n  3 -> 4 [size =\"37886976\"]\n  4 [size=\"75042133\", alpha=\"0.09\", expect_size=\"22512640\"] \n  4 -> 5 [size =\"22512640\"]\n  5 [size=\"108298240\", alpha=\"0.03\", expect_size=\"32489472\"] \n  5 -> 6 [size =\"32489472\"]\n  6 [size=\"27378347\", alpha=\"0.02\", expect_size=\"8213504\"] \n  6 -> 7 [size =\"8213504\"]\n  7 [size=\"109847893\", alpha=\"0.18\", expect_size=\"32954368\"] \n  7 -> 8 [size =\"32954368\"]\n  8 [size=\"158627840\", alpha=\"0.15\", expect_size=\"47588352\"] \n  8 -> 9 [size =\"47588352\"]\n  9 [size=\"113861973\", alpha=\"0.08\", expect_size=\"34158592\"] \n  9 -> 10 [size =\"34158592\"]\n  10 [size=\"97262933\", alpha=\"0.20\", expect_size=\"29178880\"] \n  10 -> 11 [size =\"29178880\"]\n  11 [size=\"115790507\", alpha=\"0.04\", expect_size=\"34737152\"] \n  11 -> 12 [size =\"34737152\"]\n  12 [size=\"20906667\", alpha=\"0.17\", expect_size=\"6272000\"] \n  12 -> 13 [size =\"6272000\"]\n  13 [size=\"79974400\", alpha=\"0.17\", expect_size=\"23992320\"] \n  13 -> 14 [size =\"23992320\"]\n  14 [size=\"91200853\", alpha=\"0.14\", expect_size=\"27360256\"] \n  14 -> 15 [size =\"27360256\"]\n  15 [size=\"162027520\", alpha=\"0.18\", expect_size=\"48608256\"] \n  15 -> 16 [size =\"48608256\"]\n  16 [size=\"29965653\", alpha=\"0.12\", expect_size=\"8989696\"] \n  16 -> 17 [size =\"8989696\"]\n  17 [size=\"49155413\", alpha=\"0.16\", expect_size=\"14746624\"] \n  17 -> 18 [size =\"14746624\"]\n  18 [size=\"32460800\", alpha=\"0.04\", expect_size=\"9738240\"] \n  18 -> 19 [size =\"9738240\"]\n  19 [size=\"151569067\", alpha=\"0.07\", expect_size=\"45470720\"] \n  19 -> 20 [size =\"45470720\"]\n  20 [size=\"53780480\", alpha=\"0.01\", expect_size=\"16134144\"] \n  20 -> 21 [size =\"16134144\"]\n  21 [size=\"53213867\", alpha=\"0.17\", expect_size=\"15964160\"] \n  21 -> 22 [size =\"15964160\"]\n  22 [size=\"88360960\", alpha=\"0.00\", expect_size=\"26508288\"] \n  22 -> 23 [size =\"26508288\"]\n  23 [size=\"67099307\", alpha=\"0.17\", expect_size=\"20129792\"] \n  23 -> 24 [size =\"20129792\"]\n  24 [size=\"47308800\", alpha=\"0.02\", expect_size=\"14192640\"] \n  24 -> 25 [size =\"14192640\"]\n  25 [size=\"156344320\", alpha=\"0.18\", expect_size=\"46903296\"] \n  25 -> 26 [size =\"46903296\"]\n  26 [size=\"139547307\", alpha=\"0.15\", expect_size=\"41864192\"] \n  26 -> 27 [size =\"41864192\"]\n  27 [size=\"75315200\", alpha=\"0.04\", expect_size=\"22594560\"] \n  27 -> 28 [size =\"22594560\"]\n  28 [size=\"45001387\", alpha=\"0.11\", expect_size=\"13500416\"] \n  28 -> 29 [size =\"13500416\"]\n  29 [size=\"75834027\", alpha=\"0.10\", expect_size=\"22750208\"] \n  29 -> 30 [size =\"22750208\"]\n  30 [size=\"132672853\", alpha=\"0.19\", expect_size=\"39801856\"] \n  30 -> 31 [size =\"39801856\"]\n  31 [size=\"139950080\", alpha=\"0.01\", expect_size=\"41985024\"] \n  31 -> 32 [size =\"41985024\"]\n  32 [size=\"114865493\", alpha=\"0.03\", expect_size=\"34459648\"] \n  32 -> 33 [size =\"34459648\"]\n  33 [size=\"115411627\", alpha=\"0.13\", expect_size=\"34623488\"] \n  33 -> 34 [size =\"34623488\"]\n  34 [size=\"93119147\", alpha=\"0.13\", expect_size=\"27935744\"] \n  34 -> 35 [size =\"27935744\"]\n  35 [size=\"105550507\", alpha=\"0.11\", expect_size=\"31665152\"] \n  35 -> 36 [size =\"31665152\"]\n  36 [size=\"86244693\", alpha=\"0.11\", expect_size=\"25873408\"] \n  36 -> 37 [size =\"25873408\"]\n  37 [size=\"45103787\", alpha=\"0.14\", expect_size=\"13531136\"] \n  37 -> 38 [size =\"13531136\"]\n  38 [size=\"74502827\", alpha=\"0.20\", expect_size=\"22350848\"] \n  38 -> 39 [size =\"22350848\"]\n  39 [size=\"158310400\", alpha=\"0.02\", expect_size=\"47493120\"] \n  39 -> 40 [size =\"47493120\"]\n  40 [size=\"78336000\", alpha=\"0.09\", expect_size=\"23500800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108021760\", alpha=\"0.03\", expect_size=\"32406528\"] \n  1 -> 2 [size =\"32406528\"]\n  2 [size=\"118807893\", alpha=\"0.03\", expect_size=\"35642368\"] \n  2 -> 3 [size =\"35642368\"]\n  3 [size=\"79564800\", alpha=\"0.07\", expect_size=\"23869440\"] \n  3 -> 4 [size =\"23869440\"]\n  4 [size=\"90692267\", alpha=\"0.08\", expect_size=\"27207680\"] \n  4 -> 5 [size =\"27207680\"]\n  5 [size=\"64351573\", alpha=\"0.08\", expect_size=\"19305472\"] \n  5 -> 6 [size =\"19305472\"]\n  6 [size=\"58112000\", alpha=\"0.06\", expect_size=\"17433600\"] \n  6 -> 7 [size =\"17433600\"]\n  7 [size=\"126470827\", alpha=\"0.14\", expect_size=\"37941248\"] \n  7 -> 8 [size =\"37941248\"]\n  8 [size=\"136837120\", alpha=\"0.11\", expect_size=\"41051136\"] \n  8 -> 9 [size =\"41051136\"]\n  9 [size=\"71058773\", alpha=\"0.01\", expect_size=\"21317632\"] \n  9 -> 10 [size =\"21317632\"]\n  10 [size=\"25282560\", alpha=\"0.12\", expect_size=\"7584768\"] \n  10 -> 11 [size =\"7584768\"]\n  11 [size=\"111964160\", alpha=\"0.06\", expect_size=\"33589248\"] \n  11 -> 12 [size =\"33589248\"]\n  12 [size=\"137632427\", alpha=\"0.11\", expect_size=\"41289728\"] \n  12 -> 13 [size =\"41289728\"]\n  13 [size=\"159098880\", alpha=\"0.00\", expect_size=\"47729664\"] \n  13 -> 14 [size =\"47729664\"]\n  14 [size=\"60668587\", alpha=\"0.13\", expect_size=\"18200576\"] \n  14 -> 15 [size =\"18200576\"]\n  15 [size=\"125754027\", alpha=\"0.11\", expect_size=\"37726208\"] \n  15 -> 16 [size =\"37726208\"]\n  16 [size=\"29009920\", alpha=\"0.09\", expect_size=\"8702976\"] \n  16 -> 17 [size =\"8702976\"]\n  17 [size=\"74359467\", alpha=\"0.01\", expect_size=\"22307840\"] \n  17 -> 18 [size =\"22307840\"]\n  18 [size=\"29364907\", alpha=\"0.05\", expect_size=\"8809472\"] \n  18 -> 19 [size =\"8809472\"]\n  19 [size=\"117722453\", alpha=\"0.06\", expect_size=\"35316736\"] \n  19 -> 20 [size =\"35316736\"]\n  20 [size=\"124081493\", alpha=\"0.03\", expect_size=\"37224448\"] \n  20 -> 21 [size =\"37224448\"]\n  21 [size=\"63081813\", alpha=\"0.12\", expect_size=\"18924544\"] \n  21 -> 22 [size =\"18924544\"]\n  22 [size=\"113203200\", alpha=\"0.13\", expect_size=\"33960960\"] \n  22 -> 23 [size =\"33960960\"]\n  23 [size=\"42567680\", alpha=\"0.02\", expect_size=\"12770304\"] \n  23 -> 24 [size =\"12770304\"]\n  24 [size=\"46264320\", alpha=\"0.01\", expect_size=\"13879296\"] \n  24 -> 25 [size =\"13879296\"]\n  25 [size=\"146940587\", alpha=\"0.06\", expect_size=\"44082176\"] \n  25 -> 26 [size =\"44082176\"]\n  26 [size=\"77038933\", alpha=\"0.15\", expect_size=\"23111680\"] \n  26 -> 27 [size =\"23111680\"]\n  27 [size=\"146633387\", alpha=\"0.19\", expect_size=\"43990016\"] \n  27 -> 28 [size =\"43990016\"]\n  28 [size=\"154269013\", alpha=\"0.18\", expect_size=\"46280704\"] \n  28 -> 29 [size =\"46280704\"]\n  29 [size=\"36194987\", alpha=\"0.04\", expect_size=\"10858496\"] \n  29 -> 30 [size =\"10858496\"]\n  30 [size=\"82114560\", alpha=\"0.10\", expect_size=\"24634368\"] \n  30 -> 31 [size =\"24634368\"]\n  31 [size=\"105058987\", alpha=\"0.09\", expect_size=\"31517696\"] \n  31 -> 32 [size =\"31517696\"]\n  32 [size=\"38283947\", alpha=\"0.03\", expect_size=\"11485184\"] \n  32 -> 33 [size =\"11485184\"]\n  33 [size=\"140414293\", alpha=\"0.15\", expect_size=\"42124288\"] \n  33 -> 34 [size =\"42124288\"]\n  34 [size=\"158965760\", alpha=\"0.12\", expect_size=\"47689728\"] \n  34 -> 35 [size =\"47689728\"]\n  35 [size=\"167157760\", alpha=\"0.04\", expect_size=\"50147328\"] \n  35 -> 36 [size =\"50147328\"]\n  36 [size=\"54582613\", alpha=\"0.16\", expect_size=\"16374784\"] \n  36 -> 37 [size =\"16374784\"]\n  37 [size=\"19162453\", alpha=\"0.16\", expect_size=\"5748736\"] \n  37 -> 38 [size =\"5748736\"]\n  38 [size=\"169888427\", alpha=\"0.18\", expect_size=\"50966528\"] \n  38 -> 39 [size =\"50966528\"]\n  39 [size=\"154269013\", alpha=\"0.12\", expect_size=\"46280704\"] \n  39 -> 40 [size =\"46280704\"]\n  40 [size=\"25883307\", alpha=\"0.20\", expect_size=\"7764992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20054016\", alpha=\"0.19\", expect_size=\"10027008\"] \n  1 -> 3 [size =\"10027008\"]\n  1 -> 4 [size =\"10027008\"]\n  2 [size=\"54358016\", alpha=\"0.19\", expect_size=\"27179008\"] \n  2 -> 3 [size =\"27179008\"]\n  2 -> 4 [size =\"27179008\"]\n  3 [size=\"29458432\", alpha=\"0.08\", expect_size=\"14729216\"] \n  3 -> 5 [size =\"14729216\"]\n  3 -> 6 [size =\"14729216\"]\n  4 [size=\"50642944\", alpha=\"0.16\", expect_size=\"25321472\"] \n  4 -> 5 [size =\"25321472\"]\n  5 [size=\"95279104\", alpha=\"0.16\", expect_size=\"47639552\"] \n  5 -> 7 [size =\"47639552\"]\n  5 -> 8 [size =\"47639552\"]\n  6 [size=\"103823360\", alpha=\"0.18\", expect_size=\"51911680\"] \n  6 -> 7 [size =\"51911680\"]\n  6 -> 8 [size =\"51911680\"]\n  6 -> 9 [size =\"51911680\"]\n  7 [size=\"93007872\", alpha=\"0.09\", expect_size=\"46503936\"] \n  7 -> 10 [size =\"46503936\"]\n  7 -> 11 [size =\"46503936\"]\n  8 [size=\"63631360\", alpha=\"0.08\", expect_size=\"31815680\"] \n  8 -> 10 [size =\"31815680\"]\n  9 [size=\"57071616\", alpha=\"0.07\", expect_size=\"28535808\"] \n  9 -> 11 [size =\"28535808\"]\n  9 -> 12 [size =\"28535808\"]\n  10 [size=\"91723776\", alpha=\"0.06\", expect_size=\"45861888\"] \n  10 -> 13 [size =\"45861888\"]\n  10 -> 14 [size =\"45861888\"]\n  10 -> 15 [size =\"45861888\"]\n  11 [size=\"12908544\", alpha=\"0.01\", expect_size=\"6454272\"] \n  11 -> 13 [size =\"6454272\"]\n  12 [size=\"102682624\", alpha=\"0.05\", expect_size=\"51341312\"] \n  12 -> 13 [size =\"51341312\"]\n  13 [size=\"96444416\", alpha=\"0.09\", expect_size=\"48222208\"] \n  13 -> 16 [size =\"48222208\"]\n  14 [size=\"40867840\", alpha=\"0.16\", expect_size=\"20433920\"] \n  14 -> 16 [size =\"20433920\"]\n  14 -> 17 [size =\"20433920\"]\n  14 -> 18 [size =\"20433920\"]\n  15 [size=\"23459840\", alpha=\"0.16\", expect_size=\"11729920\"] \n  15 -> 16 [size =\"11729920\"]\n  15 -> 18 [size =\"11729920\"]\n  15 -> 18 [size =\"11729920\"]\n  16 [size=\"97638400\", alpha=\"0.02\", expect_size=\"48819200\"] \n  16 -> 20 [size =\"48819200\"]\n  17 [size=\"88670208\", alpha=\"0.08\", expect_size=\"44335104\"] \n  17 -> 20 [size =\"44335104\"]\n  18 [size=\"38774784\", alpha=\"0.18\", expect_size=\"19387392\"] \n  18 -> 19 [size =\"19387392\"]\n  19 [size=\"78555136\", alpha=\"0.00\", expect_size=\"39277568\"] \n  19 -> 21 [size =\"39277568\"]\n  19 -> 22 [size =\"39277568\"]\n  19 -> 23 [size =\"39277568\"]\n  20 [size=\"17618944\", alpha=\"0.05\", expect_size=\"8809472\"] \n  20 -> 22 [size =\"8809472\"]\n  20 -> 23 [size =\"8809472\"]\n  21 [size=\"46610432\", alpha=\"0.12\", expect_size=\"23305216\"] \n  21 -> 24 [size =\"23305216\"]\n  21 -> 26 [size =\"23305216\"]\n  22 [size=\"53170176\", alpha=\"0.09\", expect_size=\"26585088\"] \n  22 -> 26 [size =\"26585088\"]\n  23 [size=\"76707840\", alpha=\"0.09\", expect_size=\"38353920\"] \n  23 -> 24 [size =\"38353920\"]\n  23 -> 25 [size =\"38353920\"]\n  24 [size=\"25546752\", alpha=\"0.18\", expect_size=\"12773376\"] \n  24 -> 28 [size =\"12773376\"]\n  24 -> 29 [size =\"12773376\"]\n  25 [size=\"98715648\", alpha=\"0.05\", expect_size=\"49357824\"] \n  25 -> 27 [size =\"49357824\"]\n  25 -> 28 [size =\"49357824\"]\n  25 -> 29 [size =\"49357824\"]\n  26 [size=\"81965056\", alpha=\"0.12\", expect_size=\"40982528\"] \n  26 -> 27 [size =\"40982528\"]\n  26 -> 28 [size =\"40982528\"]\n  26 -> 29 [size =\"40982528\"]\n  27 [size=\"93026304\", alpha=\"0.16\", expect_size=\"46513152\"] \n  27 -> 30 [size =\"46513152\"]\n  27 -> 31 [size =\"46513152\"]\n  27 -> 32 [size =\"46513152\"]\n  28 [size=\"37341184\", alpha=\"0.12\", expect_size=\"18670592\"] \n  28 -> 31 [size =\"18670592\"]\n  28 -> 32 [size =\"18670592\"]\n  29 [size=\"26451968\", alpha=\"0.17\", expect_size=\"13225984\"] \n  29 -> 30 [size =\"13225984\"]\n  30 [size=\"27547648\", alpha=\"0.19\", expect_size=\"13773824\"] \n  30 -> 33 [size =\"13773824\"]\n  30 -> 34 [size =\"13773824\"]\n  31 [size=\"52666368\", alpha=\"0.02\", expect_size=\"26333184\"] \n  31 -> 33 [size =\"26333184\"]\n  32 [size=\"17002496\", alpha=\"0.05\", expect_size=\"8501248\"] \n  33 [size=\"58804224\", alpha=\"0.06\", expect_size=\"29402112\"] \n  34 [size=\"102674432\", alpha=\"0.13\", expect_size=\"51337216\"] \n  34 -> 35 [size =\"51337216\"]\n  34 -> 36 [size =\"51337216\"]\n  35 [size=\"94400512\", alpha=\"0.03\", expect_size=\"47200256\"] \n  35 -> 38 [size =\"47200256\"]\n  35 -> 39 [size =\"47200256\"]\n  36 [size=\"24401920\", alpha=\"0.12\", expect_size=\"12200960\"] \n  36 -> 37 [size =\"12200960\"]\n  37 [size=\"80394240\", alpha=\"0.17\", expect_size=\"40197120\"] \n  38 [size=\"61779968\", alpha=\"0.08\", expect_size=\"30889984\"] \n  38 -> 40 [size =\"30889984\"]\n  39 [size=\"21710848\", alpha=\"0.13\", expect_size=\"10855424\"] \n  40 [size=\"101142528\", alpha=\"0.00\", expect_size=\"50571264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60336640\", alpha=\"0.10\", expect_size=\"24134656\"] \n  1 -> 2 [size =\"24134656\"]\n  2 [size=\"20751360\", alpha=\"0.19\", expect_size=\"8300544\"] \n  2 -> 3 [size =\"8300544\"]\n  3 [size=\"88867840\", alpha=\"0.15\", expect_size=\"35547136\"] \n  3 -> 4 [size =\"35547136\"]\n  4 [size=\"127738880\", alpha=\"0.11\", expect_size=\"51095552\"] \n  4 -> 5 [size =\"51095552\"]\n  5 [size=\"13565440\", alpha=\"0.19\", expect_size=\"5426176\"] \n  5 -> 6 [size =\"5426176\"]\n  6 [size=\"55744000\", alpha=\"0.04\", expect_size=\"22297600\"] \n  6 -> 7 [size =\"22297600\"]\n  7 [size=\"19261440\", alpha=\"0.17\", expect_size=\"7704576\"] \n  7 -> 8 [size =\"7704576\"]\n  8 [size=\"78049280\", alpha=\"0.01\", expect_size=\"31219712\"] \n  8 -> 9 [size =\"31219712\"]\n  9 [size=\"103738880\", alpha=\"0.13\", expect_size=\"41495552\"] \n  9 -> 10 [size =\"41495552\"]\n  10 [size=\"70691840\", alpha=\"0.10\", expect_size=\"28276736\"] \n  10 -> 11 [size =\"28276736\"]\n  11 [size=\"44032000\", alpha=\"0.10\", expect_size=\"17612800\"] \n  11 -> 12 [size =\"17612800\"]\n  12 [size=\"105605120\", alpha=\"0.15\", expect_size=\"42242048\"] \n  12 -> 13 [size =\"42242048\"]\n  13 [size=\"99448320\", alpha=\"0.19\", expect_size=\"39779328\"] \n  13 -> 14 [size =\"39779328\"]\n  14 [size=\"67171840\", alpha=\"0.18\", expect_size=\"26868736\"] \n  14 -> 15 [size =\"26868736\"]\n  15 [size=\"130449920\", alpha=\"0.10\", expect_size=\"52179968\"] \n  15 -> 16 [size =\"52179968\"]\n  16 [size=\"126891520\", alpha=\"0.18\", expect_size=\"50756608\"] \n  16 -> 17 [size =\"50756608\"]\n  17 [size=\"30919680\", alpha=\"0.09\", expect_size=\"12367872\"] \n  17 -> 18 [size =\"12367872\"]\n  18 [size=\"129697280\", alpha=\"0.06\", expect_size=\"51878912\"] \n  18 -> 19 [size =\"51878912\"]\n  19 [size=\"18557440\", alpha=\"0.12\", expect_size=\"7422976\"] \n  19 -> 20 [size =\"7422976\"]\n  20 [size=\"94023680\", alpha=\"0.04\", expect_size=\"37609472\"] \n  20 -> 21 [size =\"37609472\"]\n  21 [size=\"33661440\", alpha=\"0.04\", expect_size=\"13464576\"] \n  21 -> 22 [size =\"13464576\"]\n  22 [size=\"92881920\", alpha=\"0.05\", expect_size=\"37152768\"] \n  22 -> 23 [size =\"37152768\"]\n  23 [size=\"62195200\", alpha=\"0.19\", expect_size=\"24878080\"] \n  23 -> 24 [size =\"24878080\"]\n  24 [size=\"54461440\", alpha=\"0.12\", expect_size=\"21784576\"] \n  24 -> 25 [size =\"21784576\"]\n  25 [size=\"43681280\", alpha=\"0.06\", expect_size=\"17472512\"] \n  25 -> 26 [size =\"17472512\"]\n  26 [size=\"100200960\", alpha=\"0.06\", expect_size=\"40080384\"] \n  26 -> 27 [size =\"40080384\"]\n  27 [size=\"90995200\", alpha=\"0.08\", expect_size=\"36398080\"] \n  27 -> 28 [size =\"36398080\"]\n  28 [size=\"24302080\", alpha=\"0.01\", expect_size=\"9720832\"] \n  28 -> 29 [size =\"9720832\"]\n  29 [size=\"62297600\", alpha=\"0.09\", expect_size=\"24919040\"] \n  29 -> 30 [size =\"24919040\"]\n  30 [size=\"15959040\", alpha=\"0.07\", expect_size=\"6383616\"] \n  30 -> 31 [size =\"6383616\"]\n  31 [size=\"39208960\", alpha=\"0.10\", expect_size=\"15683584\"] \n  31 -> 32 [size =\"15683584\"]\n  32 [size=\"61309440\", alpha=\"0.09\", expect_size=\"24523776\"] \n  32 -> 33 [size =\"24523776\"]\n  33 [size=\"89912320\", alpha=\"0.02\", expect_size=\"35964928\"] \n  33 -> 34 [size =\"35964928\"]\n  34 [size=\"82810880\", alpha=\"0.05\", expect_size=\"33124352\"] \n  34 -> 35 [size =\"33124352\"]\n  35 [size=\"36672000\", alpha=\"0.07\", expect_size=\"14668800\"] \n  35 -> 36 [size =\"14668800\"]\n  36 [size=\"69923840\", alpha=\"0.09\", expect_size=\"27969536\"] \n  36 -> 37 [size =\"27969536\"]\n  37 [size=\"107238400\", alpha=\"0.14\", expect_size=\"42895360\"] \n  37 -> 38 [size =\"42895360\"]\n  38 [size=\"36805120\", alpha=\"0.18\", expect_size=\"14722048\"] \n  38 -> 39 [size =\"14722048\"]\n  39 [size=\"41533440\", alpha=\"0.04\", expect_size=\"16613376\"] \n  39 -> 40 [size =\"16613376\"]\n  40 [size=\"94087680\", alpha=\"0.03\", expect_size=\"37635072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41342976\", alpha=\"0.15\", expect_size=\"20671488\"] \n  1 -> 29 [size =\"20671488\"]\n  1 -> 32 [size =\"20671488\"]\n  1 -> 32 [size =\"20671488\"]\n  1 -> 34 [size =\"20671488\"]\n  1 -> 35 [size =\"20671488\"]\n  2 [size=\"99799040\", alpha=\"0.07\", expect_size=\"49899520\"] \n  2 -> 29 [size =\"49899520\"]\n  2 -> 32 [size =\"49899520\"]\n  2 -> 34 [size =\"49899520\"]\n  2 -> 34 [size =\"49899520\"]\n  2 -> 35 [size =\"49899520\"]\n  2 -> 36 [size =\"49899520\"]\n  2 -> 37 [size =\"49899520\"]\n  2 -> 38 [size =\"49899520\"]\n  3 [size=\"73549824\", alpha=\"0.14\", expect_size=\"36774912\"] \n  3 -> 28 [size =\"36774912\"]\n  3 -> 29 [size =\"36774912\"]\n  3 -> 31 [size =\"36774912\"]\n  3 -> 32 [size =\"36774912\"]\n  3 -> 33 [size =\"36774912\"]\n  3 -> 34 [size =\"36774912\"]\n  3 -> 35 [size =\"36774912\"]\n  3 -> 36 [size =\"36774912\"]\n  3 -> 37 [size =\"36774912\"]\n  3 -> 38 [size =\"36774912\"]\n  3 -> 40 [size =\"36774912\"]\n  4 [size=\"64790528\", alpha=\"0.07\", expect_size=\"32395264\"] \n  4 -> 29 [size =\"32395264\"]\n  4 -> 32 [size =\"32395264\"]\n  4 -> 34 [size =\"32395264\"]\n  4 -> 37 [size =\"32395264\"]\n  4 -> 38 [size =\"32395264\"]\n  4 -> 39 [size =\"32395264\"]\n  5 [size=\"96681984\", alpha=\"0.06\", expect_size=\"48340992\"] \n  5 -> 33 [size =\"48340992\"]\n  5 -> 36 [size =\"48340992\"]\n  6 [size=\"87136256\", alpha=\"0.02\", expect_size=\"43568128\"] \n  6 -> 29 [size =\"43568128\"]\n  6 -> 32 [size =\"43568128\"]\n  6 -> 33 [size =\"43568128\"]\n  6 -> 34 [size =\"43568128\"]\n  6 -> 37 [size =\"43568128\"]\n  6 -> 40 [size =\"43568128\"]\n  7 [size=\"101150720\", alpha=\"0.10\", expect_size=\"50575360\"] \n  7 -> 29 [size =\"50575360\"]\n  7 -> 32 [size =\"50575360\"]\n  7 -> 37 [size =\"50575360\"]\n  7 -> 40 [size =\"50575360\"]\n  8 [size=\"27727872\", alpha=\"0.17\", expect_size=\"13863936\"] \n  8 -> 29 [size =\"13863936\"]\n  8 -> 33 [size =\"13863936\"]\n  8 -> 34 [size =\"13863936\"]\n  8 -> 35 [size =\"13863936\"]\n  8 -> 36 [size =\"13863936\"]\n  8 -> 37 [size =\"13863936\"]\n  8 -> 40 [size =\"13863936\"]\n  9 [size=\"24113152\", alpha=\"0.05\", expect_size=\"12056576\"] \n  9 -> 29 [size =\"12056576\"]\n  9 -> 33 [size =\"12056576\"]\n  9 -> 34 [size =\"12056576\"]\n  9 -> 37 [size =\"12056576\"]\n  9 -> 38 [size =\"12056576\"]\n  9 -> 40 [size =\"12056576\"]\n  9 -> 40 [size =\"12056576\"]\n  10 [size=\"37697536\", alpha=\"0.16\", expect_size=\"18848768\"] \n  10 -> 29 [size =\"18848768\"]\n  10 -> 30 [size =\"18848768\"]\n  10 -> 35 [size =\"18848768\"]\n  10 -> 36 [size =\"18848768\"]\n  10 -> 37 [size =\"18848768\"]\n  10 -> 38 [size =\"18848768\"]\n  10 -> 40 [size =\"18848768\"]\n  11 [size=\"75210752\", alpha=\"0.19\", expect_size=\"37605376\"] \n  11 -> 28 [size =\"37605376\"]\n  11 -> 29 [size =\"37605376\"]\n  11 -> 30 [size =\"37605376\"]\n  11 -> 32 [size =\"37605376\"]\n  11 -> 35 [size =\"37605376\"]\n  11 -> 36 [size =\"37605376\"]\n  11 -> 37 [size =\"37605376\"]\n  11 -> 38 [size =\"37605376\"]\n  12 [size=\"49876992\", alpha=\"0.12\", expect_size=\"24938496\"] \n  12 -> 29 [size =\"24938496\"]\n  12 -> 29 [size =\"24938496\"]\n  12 -> 30 [size =\"24938496\"]\n  12 -> 33 [size =\"24938496\"]\n  12 -> 36 [size =\"24938496\"]\n  12 -> 37 [size =\"24938496\"]\n  13 [size=\"83779584\", alpha=\"0.17\", expect_size=\"41889792\"] \n  13 -> 29 [size =\"41889792\"]\n  13 -> 32 [size =\"41889792\"]\n  13 -> 33 [size =\"41889792\"]\n  13 -> 34 [size =\"41889792\"]\n  13 -> 40 [size =\"41889792\"]\n  14 [size=\"54251520\", alpha=\"0.07\", expect_size=\"27125760\"] \n  14 -> 29 [size =\"27125760\"]\n  14 -> 30 [size =\"27125760\"]\n  14 -> 31 [size =\"27125760\"]\n  14 -> 32 [size =\"27125760\"]\n  14 -> 35 [size =\"27125760\"]\n  14 -> 36 [size =\"27125760\"]\n  14 -> 40 [size =\"27125760\"]\n  15 [size=\"85528576\", alpha=\"0.17\", expect_size=\"42764288\"] \n  15 -> 29 [size =\"42764288\"]\n  15 -> 30 [size =\"42764288\"]\n  15 -> 31 [size =\"42764288\"]\n  15 -> 34 [size =\"42764288\"]\n  15 -> 36 [size =\"42764288\"]\n  15 -> 40 [size =\"42764288\"]\n  15 -> 40 [size =\"42764288\"]\n  16 [size=\"21772288\", alpha=\"0.01\", expect_size=\"10886144\"] \n  16 -> 29 [size =\"10886144\"]\n  16 -> 30 [size =\"10886144\"]\n  16 -> 32 [size =\"10886144\"]\n  16 -> 33 [size =\"10886144\"]\n  16 -> 34 [size =\"10886144\"]\n  16 -> 35 [size =\"10886144\"]\n  16 -> 36 [size =\"10886144\"]\n  16 -> 37 [size =\"10886144\"]\n  16 -> 39 [size =\"10886144\"]\n  16 -> 40 [size =\"10886144\"]\n  17 [size=\"32032768\", alpha=\"0.04\", expect_size=\"16016384\"] \n  17 -> 29 [size =\"16016384\"]\n  17 -> 30 [size =\"16016384\"]\n  17 -> 32 [size =\"16016384\"]\n  17 -> 33 [size =\"16016384\"]\n  17 -> 34 [size =\"16016384\"]\n  17 -> 35 [size =\"16016384\"]\n  17 -> 37 [size =\"16016384\"]\n  17 -> 40 [size =\"16016384\"]\n  18 [size=\"80035840\", alpha=\"0.10\", expect_size=\"40017920\"] \n  18 -> 28 [size =\"40017920\"]\n  18 -> 29 [size =\"40017920\"]\n  18 -> 30 [size =\"40017920\"]\n  18 -> 31 [size =\"40017920\"]\n  18 -> 32 [size =\"40017920\"]\n  18 -> 33 [size =\"40017920\"]\n  18 -> 34 [size =\"40017920\"]\n  18 -> 35 [size =\"40017920\"]\n  18 -> 36 [size =\"40017920\"]\n  18 -> 38 [size =\"40017920\"]\n  18 -> 40 [size =\"40017920\"]\n  19 [size=\"64843776\", alpha=\"0.12\", expect_size=\"32421888\"] \n  19 -> 28 [size =\"32421888\"]\n  19 -> 29 [size =\"32421888\"]\n  19 -> 32 [size =\"32421888\"]\n  19 -> 33 [size =\"32421888\"]\n  19 -> 34 [size =\"32421888\"]\n  19 -> 35 [size =\"32421888\"]\n  19 -> 40 [size =\"32421888\"]\n  20 [size=\"89829376\", alpha=\"0.07\", expect_size=\"44914688\"] \n  20 -> 29 [size =\"44914688\"]\n  20 -> 29 [size =\"44914688\"]\n  20 -> 30 [size =\"44914688\"]\n  20 -> 31 [size =\"44914688\"]\n  20 -> 32 [size =\"44914688\"]\n  20 -> 33 [size =\"44914688\"]\n  20 -> 34 [size =\"44914688\"]\n  20 -> 37 [size =\"44914688\"]\n  20 -> 40 [size =\"44914688\"]\n  21 [size=\"69869568\", alpha=\"0.09\", expect_size=\"34934784\"] \n  21 -> 29 [size =\"34934784\"]\n  21 -> 30 [size =\"34934784\"]\n  21 -> 33 [size =\"34934784\"]\n  21 -> 34 [size =\"34934784\"]\n  21 -> 38 [size =\"34934784\"]\n  21 -> 40 [size =\"34934784\"]\n  22 [size=\"65525760\", alpha=\"0.09\", expect_size=\"32762880\"] \n  22 -> 34 [size =\"32762880\"]\n  22 -> 35 [size =\"32762880\"]\n  22 -> 40 [size =\"32762880\"]\n  23 [size=\"26482688\", alpha=\"0.03\", expect_size=\"13241344\"] \n  23 -> 28 [size =\"13241344\"]\n  23 -> 30 [size =\"13241344\"]\n  23 -> 31 [size =\"13241344\"]\n  23 -> 34 [size =\"13241344\"]\n  23 -> 40 [size =\"13241344\"]\n  24 [size=\"12773376\", alpha=\"0.08\", expect_size=\"6386688\"] \n  24 -> 29 [size =\"6386688\"]\n  24 -> 31 [size =\"6386688\"]\n  24 -> 32 [size =\"6386688\"]\n  24 -> 34 [size =\"6386688\"]\n  24 -> 38 [size =\"6386688\"]\n  24 -> 40 [size =\"6386688\"]\n  25 [size=\"43548672\", alpha=\"0.11\", expect_size=\"21774336\"] \n  25 -> 28 [size =\"21774336\"]\n  25 -> 32 [size =\"21774336\"]\n  25 -> 33 [size =\"21774336\"]\n  25 -> 34 [size =\"21774336\"]\n  25 -> 36 [size =\"21774336\"]\n  25 -> 38 [size =\"21774336\"]\n  26 [size=\"27320320\", alpha=\"0.11\", expect_size=\"13660160\"] \n  26 -> 29 [size =\"13660160\"]\n  26 -> 30 [size =\"13660160\"]\n  26 -> 32 [size =\"13660160\"]\n  26 -> 34 [size =\"13660160\"]\n  26 -> 36 [size =\"13660160\"]\n  26 -> 38 [size =\"13660160\"]\n  26 -> 40 [size =\"13660160\"]\n  27 [size=\"32065536\", alpha=\"0.10\", expect_size=\"16032768\"] \n  27 -> 29 [size =\"16032768\"]\n  27 -> 30 [size =\"16032768\"]\n  27 -> 32 [size =\"16032768\"]\n  27 -> 34 [size =\"16032768\"]\n  27 -> 35 [size =\"16032768\"]\n  27 -> 36 [size =\"16032768\"]\n  27 -> 37 [size =\"16032768\"]\n  28 [size=\"50796544\", alpha=\"0.13\", expect_size=\"25398272\"] \n  29 [size=\"100280320\", alpha=\"0.18\", expect_size=\"50140160\"] \n  30 [size=\"64120832\", alpha=\"0.09\", expect_size=\"32060416\"] \n  31 [size=\"98101248\", alpha=\"0.14\", expect_size=\"49050624\"] \n  32 [size=\"44337152\", alpha=\"0.08\", expect_size=\"22168576\"] \n  33 [size=\"86511616\", alpha=\"0.16\", expect_size=\"43255808\"] \n  34 [size=\"98947072\", alpha=\"0.15\", expect_size=\"49473536\"] \n  35 [size=\"41578496\", alpha=\"0.09\", expect_size=\"20789248\"] \n  36 [size=\"94973952\", alpha=\"0.05\", expect_size=\"47486976\"] \n  37 [size=\"52670464\", alpha=\"0.06\", expect_size=\"26335232\"] \n  38 [size=\"99706880\", alpha=\"0.02\", expect_size=\"49853440\"] \n  39 [size=\"64583680\", alpha=\"0.09\", expect_size=\"32291840\"] \n  40 [size=\"55298048\", alpha=\"0.13\", expect_size=\"27649024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64225280\", alpha=\"0.02\", expect_size=\"25690112\"] \n  1 -> 31 [size =\"25690112\"]\n  1 -> 32 [size =\"25690112\"]\n  1 -> 36 [size =\"25690112\"]\n  1 -> 37 [size =\"25690112\"]\n  1 -> 38 [size =\"25690112\"]\n  1 -> 40 [size =\"25690112\"]\n  2 [size=\"59038720\", alpha=\"0.19\", expect_size=\"23615488\"] \n  2 -> 32 [size =\"23615488\"]\n  2 -> 33 [size =\"23615488\"]\n  2 -> 35 [size =\"23615488\"]\n  2 -> 37 [size =\"23615488\"]\n  2 -> 40 [size =\"23615488\"]\n  3 [size=\"105221120\", alpha=\"0.14\", expect_size=\"42088448\"] \n  3 -> 32 [size =\"42088448\"]\n  3 -> 34 [size =\"42088448\"]\n  3 -> 37 [size =\"42088448\"]\n  3 -> 40 [size =\"42088448\"]\n  4 [size=\"119421440\", alpha=\"0.19\", expect_size=\"47768576\"] \n  4 -> 33 [size =\"47768576\"]\n  4 -> 36 [size =\"47768576\"]\n  4 -> 37 [size =\"47768576\"]\n  4 -> 38 [size =\"47768576\"]\n  4 -> 40 [size =\"47768576\"]\n  5 [size=\"119157760\", alpha=\"0.14\", expect_size=\"47663104\"] \n  5 -> 31 [size =\"47663104\"]\n  5 -> 33 [size =\"47663104\"]\n  5 -> 40 [size =\"47663104\"]\n  6 [size=\"53642240\", alpha=\"0.09\", expect_size=\"21456896\"] \n  6 -> 29 [size =\"21456896\"]\n  6 -> 33 [size =\"21456896\"]\n  6 -> 36 [size =\"21456896\"]\n  6 -> 37 [size =\"21456896\"]\n  6 -> 38 [size =\"21456896\"]\n  7 [size=\"25945600\", alpha=\"0.18\", expect_size=\"10378240\"] \n  7 -> 32 [size =\"10378240\"]\n  7 -> 33 [size =\"10378240\"]\n  7 -> 37 [size =\"10378240\"]\n  7 -> 38 [size =\"10378240\"]\n  8 [size=\"63700480\", alpha=\"0.16\", expect_size=\"25480192\"] \n  8 -> 33 [size =\"25480192\"]\n  8 -> 35 [size =\"25480192\"]\n  8 -> 37 [size =\"25480192\"]\n  8 -> 40 [size =\"25480192\"]\n  9 [size=\"21178880\", alpha=\"0.19\", expect_size=\"8471552\"] \n  9 -> 33 [size =\"8471552\"]\n  9 -> 38 [size =\"8471552\"]\n  10 [size=\"62781440\", alpha=\"0.14\", expect_size=\"25112576\"] \n  10 -> 32 [size =\"25112576\"]\n  10 -> 35 [size =\"25112576\"]\n  10 -> 36 [size =\"25112576\"]\n  10 -> 37 [size =\"25112576\"]\n  10 -> 40 [size =\"25112576\"]\n  11 [size=\"89233920\", alpha=\"0.10\", expect_size=\"35693568\"] \n  11 -> 35 [size =\"35693568\"]\n  11 -> 38 [size =\"35693568\"]\n  11 -> 40 [size =\"35693568\"]\n  12 [size=\"101050880\", alpha=\"0.17\", expect_size=\"40420352\"] \n  12 -> 34 [size =\"40420352\"]\n  12 -> 37 [size =\"40420352\"]\n  12 -> 38 [size =\"40420352\"]\n  13 [size=\"95129600\", alpha=\"0.16\", expect_size=\"38051840\"] \n  13 -> 33 [size =\"38051840\"]\n  13 -> 40 [size =\"38051840\"]\n  14 [size=\"60508160\", alpha=\"0.11\", expect_size=\"24203264\"] \n  14 -> 32 [size =\"24203264\"]\n  14 -> 33 [size =\"24203264\"]\n  14 -> 35 [size =\"24203264\"]\n  14 -> 36 [size =\"24203264\"]\n  14 -> 38 [size =\"24203264\"]\n  14 -> 40 [size =\"24203264\"]\n  15 [size=\"52876800\", alpha=\"0.20\", expect_size=\"21150720\"] \n  15 -> 29 [size =\"21150720\"]\n  15 -> 31 [size =\"21150720\"]\n  15 -> 32 [size =\"21150720\"]\n  15 -> 33 [size =\"21150720\"]\n  15 -> 35 [size =\"21150720\"]\n  15 -> 38 [size =\"21150720\"]\n  15 -> 40 [size =\"21150720\"]\n  16 [size=\"16053760\", alpha=\"0.12\", expect_size=\"6421504\"] \n  16 -> 29 [size =\"6421504\"]\n  16 -> 32 [size =\"6421504\"]\n  16 -> 37 [size =\"6421504\"]\n  16 -> 40 [size =\"6421504\"]\n  17 [size=\"67072000\", alpha=\"0.07\", expect_size=\"26828800\"] \n  17 -> 31 [size =\"26828800\"]\n  17 -> 37 [size =\"26828800\"]\n  17 -> 39 [size =\"26828800\"]\n  17 -> 40 [size =\"26828800\"]\n  18 [size=\"56949760\", alpha=\"0.03\", expect_size=\"22779904\"] \n  18 -> 29 [size =\"22779904\"]\n  18 -> 32 [size =\"22779904\"]\n  18 -> 36 [size =\"22779904\"]\n  18 -> 40 [size =\"22779904\"]\n  19 [size=\"33036800\", alpha=\"0.02\", expect_size=\"13214720\"] \n  19 -> 29 [size =\"13214720\"]\n  19 -> 32 [size =\"13214720\"]\n  19 -> 37 [size =\"13214720\"]\n  20 [size=\"27043840\", alpha=\"0.02\", expect_size=\"10817536\"] \n  20 -> 33 [size =\"10817536\"]\n  20 -> 35 [size =\"10817536\"]\n  20 -> 38 [size =\"10817536\"]\n  20 -> 40 [size =\"10817536\"]\n  21 [size=\"108362240\", alpha=\"0.10\", expect_size=\"43344896\"] \n  21 -> 33 [size =\"43344896\"]\n  21 -> 34 [size =\"43344896\"]\n  21 -> 35 [size =\"43344896\"]\n  22 [size=\"48750080\", alpha=\"0.06\", expect_size=\"19500032\"] \n  22 -> 33 [size =\"19500032\"]\n  22 -> 35 [size =\"19500032\"]\n  22 -> 40 [size =\"19500032\"]\n  23 [size=\"30891520\", alpha=\"0.18\", expect_size=\"12356608\"] \n  23 -> 33 [size =\"12356608\"]\n  24 [size=\"123622400\", alpha=\"0.07\", expect_size=\"49448960\"] \n  24 -> 30 [size =\"49448960\"]\n  24 -> 35 [size =\"49448960\"]\n  24 -> 37 [size =\"49448960\"]\n  24 -> 38 [size =\"49448960\"]\n  25 [size=\"71700480\", alpha=\"0.15\", expect_size=\"28680192\"] \n  25 -> 29 [size =\"28680192\"]\n  25 -> 32 [size =\"28680192\"]\n  25 -> 33 [size =\"28680192\"]\n  25 -> 34 [size =\"28680192\"]\n  25 -> 37 [size =\"28680192\"]\n  26 [size=\"69457920\", alpha=\"0.10\", expect_size=\"27783168\"] \n  27 [size=\"21084160\", alpha=\"0.06\", expect_size=\"8433664\"] \n  27 -> 33 [size =\"8433664\"]\n  27 -> 35 [size =\"8433664\"]\n  28 [size=\"62054400\", alpha=\"0.12\", expect_size=\"24821760\"] \n  28 -> 32 [size =\"24821760\"]\n  28 -> 33 [size =\"24821760\"]\n  28 -> 36 [size =\"24821760\"]\n  28 -> 38 [size =\"24821760\"]\n  28 -> 39 [size =\"24821760\"]\n  28 -> 40 [size =\"24821760\"]\n  29 [size=\"77813760\", alpha=\"0.18\", expect_size=\"31125504\"] \n  30 [size=\"91857920\", alpha=\"0.13\", expect_size=\"36743168\"] \n  31 [size=\"103316480\", alpha=\"0.01\", expect_size=\"41326592\"] \n  32 [size=\"45345280\", alpha=\"0.04\", expect_size=\"18138112\"] \n  33 [size=\"81838080\", alpha=\"0.01\", expect_size=\"32735232\"] \n  34 [size=\"68981760\", alpha=\"0.06\", expect_size=\"27592704\"] \n  35 [size=\"113093120\", alpha=\"0.17\", expect_size=\"45237248\"] \n  36 [size=\"84293120\", alpha=\"0.09\", expect_size=\"33717248\"] \n  37 [size=\"23116800\", alpha=\"0.11\", expect_size=\"9246720\"] \n  38 [size=\"60372480\", alpha=\"0.19\", expect_size=\"24148992\"] \n  39 [size=\"128686080\", alpha=\"0.11\", expect_size=\"51474432\"] \n  40 [size=\"118164480\", alpha=\"0.06\", expect_size=\"47265792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39034880\", alpha=\"0.04\", expect_size=\"15613952\"] \n  1 -> 2 [size =\"15613952\"]\n  2 [size=\"107010560\", alpha=\"0.02\", expect_size=\"42804224\"] \n  2 -> 3 [size =\"42804224\"]\n  3 [size=\"88161280\", alpha=\"0.19\", expect_size=\"35264512\"] \n  3 -> 4 [size =\"35264512\"]\n  4 [size=\"87608320\", alpha=\"0.04\", expect_size=\"35043328\"] \n  4 -> 5 [size =\"35043328\"]\n  5 [size=\"130762240\", alpha=\"0.18\", expect_size=\"52304896\"] \n  5 -> 6 [size =\"52304896\"]\n  6 [size=\"100748800\", alpha=\"0.07\", expect_size=\"40299520\"] \n  6 -> 7 [size =\"40299520\"]\n  7 [size=\"86202880\", alpha=\"0.08\", expect_size=\"34481152\"] \n  7 -> 8 [size =\"34481152\"]\n  8 [size=\"111032320\", alpha=\"0.00\", expect_size=\"44412928\"] \n  8 -> 9 [size =\"44412928\"]\n  9 [size=\"22469120\", alpha=\"0.12\", expect_size=\"8987648\"] \n  9 -> 10 [size =\"8987648\"]\n  10 [size=\"31961600\", alpha=\"0.04\", expect_size=\"12784640\"] \n  10 -> 11 [size =\"12784640\"]\n  11 [size=\"87710720\", alpha=\"0.11\", expect_size=\"35084288\"] \n  11 -> 12 [size =\"35084288\"]\n  12 [size=\"111073280\", alpha=\"0.18\", expect_size=\"44429312\"] \n  12 -> 13 [size =\"44429312\"]\n  13 [size=\"120606720\", alpha=\"0.07\", expect_size=\"48242688\"] \n  13 -> 14 [size =\"48242688\"]\n  14 [size=\"115146240\", alpha=\"0.00\", expect_size=\"46058496\"] \n  14 -> 15 [size =\"46058496\"]\n  15 [size=\"21744640\", alpha=\"0.01\", expect_size=\"8697856\"] \n  15 -> 16 [size =\"8697856\"]\n  16 [size=\"125614080\", alpha=\"0.16\", expect_size=\"50245632\"] \n  16 -> 17 [size =\"50245632\"]\n  17 [size=\"51289600\", alpha=\"0.04\", expect_size=\"20515840\"] \n  17 -> 18 [size =\"20515840\"]\n  18 [size=\"100894720\", alpha=\"0.03\", expect_size=\"40357888\"] \n  18 -> 19 [size =\"40357888\"]\n  19 [size=\"103464960\", alpha=\"0.14\", expect_size=\"41385984\"] \n  19 -> 20 [size =\"41385984\"]\n  20 [size=\"55301120\", alpha=\"0.07\", expect_size=\"22120448\"] \n  20 -> 21 [size =\"22120448\"]\n  21 [size=\"79116800\", alpha=\"0.04\", expect_size=\"31646720\"] \n  21 -> 22 [size =\"31646720\"]\n  22 [size=\"24616960\", alpha=\"0.17\", expect_size=\"9846784\"] \n  22 -> 23 [size =\"9846784\"]\n  23 [size=\"14410240\", alpha=\"0.03\", expect_size=\"5764096\"] \n  23 -> 24 [size =\"5764096\"]\n  24 [size=\"54586880\", alpha=\"0.01\", expect_size=\"21834752\"] \n  24 -> 25 [size =\"21834752\"]\n  25 [size=\"57472000\", alpha=\"0.20\", expect_size=\"22988800\"] \n  25 -> 26 [size =\"22988800\"]\n  26 [size=\"60874240\", alpha=\"0.13\", expect_size=\"24349696\"] \n  26 -> 27 [size =\"24349696\"]\n  27 [size=\"36072960\", alpha=\"0.18\", expect_size=\"14429184\"] \n  27 -> 28 [size =\"14429184\"]\n  28 [size=\"57978880\", alpha=\"0.01\", expect_size=\"23191552\"] \n  28 -> 29 [size =\"23191552\"]\n  29 [size=\"78433280\", alpha=\"0.05\", expect_size=\"31373312\"] \n  29 -> 30 [size =\"31373312\"]\n  30 [size=\"42849280\", alpha=\"0.12\", expect_size=\"17139712\"] \n  30 -> 31 [size =\"17139712\"]\n  31 [size=\"82534400\", alpha=\"0.11\", expect_size=\"33013760\"] \n  31 -> 32 [size =\"33013760\"]\n  32 [size=\"105456640\", alpha=\"0.07\", expect_size=\"42182656\"] \n  32 -> 33 [size =\"42182656\"]\n  33 [size=\"87549440\", alpha=\"0.02\", expect_size=\"35019776\"] \n  33 -> 34 [size =\"35019776\"]\n  34 [size=\"103872000\", alpha=\"0.14\", expect_size=\"41548800\"] \n  34 -> 35 [size =\"41548800\"]\n  35 [size=\"110963200\", alpha=\"0.07\", expect_size=\"44385280\"] \n  35 -> 36 [size =\"44385280\"]\n  36 [size=\"108508160\", alpha=\"0.19\", expect_size=\"43403264\"] \n  36 -> 37 [size =\"43403264\"]\n  37 [size=\"66191360\", alpha=\"0.18\", expect_size=\"26476544\"] \n  37 -> 38 [size =\"26476544\"]\n  38 [size=\"57105920\", alpha=\"0.12\", expect_size=\"22842368\"] \n  38 -> 39 [size =\"22842368\"]\n  39 [size=\"61217280\", alpha=\"0.01\", expect_size=\"24486912\"] \n  39 -> 40 [size =\"24486912\"]\n  40 [size=\"87884800\", alpha=\"0.17\", expect_size=\"35153920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72556544\", alpha=\"0.08\", expect_size=\"36278272\"] \n  1 -> 2 [size =\"36278272\"]\n  2 [size=\"61161472\", alpha=\"0.05\", expect_size=\"30580736\"] \n  2 -> 3 [size =\"30580736\"]\n  3 [size=\"85657600\", alpha=\"0.03\", expect_size=\"42828800\"] \n  3 -> 4 [size =\"42828800\"]\n  4 [size=\"74463232\", alpha=\"0.11\", expect_size=\"37231616\"] \n  4 -> 5 [size =\"37231616\"]\n  5 [size=\"71940096\", alpha=\"0.19\", expect_size=\"35970048\"] \n  5 -> 6 [size =\"35970048\"]\n  6 [size=\"91076608\", alpha=\"0.07\", expect_size=\"45538304\"] \n  6 -> 7 [size =\"45538304\"]\n  7 [size=\"68843520\", alpha=\"0.10\", expect_size=\"34421760\"] \n  7 -> 8 [size =\"34421760\"]\n  8 [size=\"62945280\", alpha=\"0.11\", expect_size=\"31472640\"] \n  8 -> 9 [size =\"31472640\"]\n  9 [size=\"23236608\", alpha=\"0.09\", expect_size=\"11618304\"] \n  9 -> 10 [size =\"11618304\"]\n  10 [size=\"56190976\", alpha=\"0.09\", expect_size=\"28095488\"] \n  10 -> 11 [size =\"28095488\"]\n  11 [size=\"89106432\", alpha=\"0.04\", expect_size=\"44553216\"] \n  11 -> 12 [size =\"44553216\"]\n  12 [size=\"31885312\", alpha=\"0.12\", expect_size=\"15942656\"] \n  12 -> 13 [size =\"15942656\"]\n  13 [size=\"55900160\", alpha=\"0.18\", expect_size=\"27950080\"] \n  13 -> 14 [size =\"27950080\"]\n  14 [size=\"70029312\", alpha=\"0.16\", expect_size=\"35014656\"] \n  14 -> 15 [size =\"35014656\"]\n  15 [size=\"26781696\", alpha=\"0.08\", expect_size=\"13390848\"] \n  15 -> 16 [size =\"13390848\"]\n  16 [size=\"21864448\", alpha=\"0.15\", expect_size=\"10932224\"] \n  16 -> 17 [size =\"10932224\"]\n  17 [size=\"54638592\", alpha=\"0.18\", expect_size=\"27319296\"] \n  17 -> 18 [size =\"27319296\"]\n  18 [size=\"103211008\", alpha=\"0.11\", expect_size=\"51605504\"] \n  18 -> 19 [size =\"51605504\"]\n  19 [size=\"61468672\", alpha=\"0.05\", expect_size=\"30734336\"] \n  19 -> 20 [size =\"30734336\"]\n  20 [size=\"102621184\", alpha=\"0.08\", expect_size=\"51310592\"] \n  20 -> 21 [size =\"51310592\"]\n  21 [size=\"50118656\", alpha=\"0.03\", expect_size=\"25059328\"] \n  21 -> 22 [size =\"25059328\"]\n  22 [size=\"68524032\", alpha=\"0.09\", expect_size=\"34262016\"] \n  22 -> 23 [size =\"34262016\"]\n  23 [size=\"29693952\", alpha=\"0.11\", expect_size=\"14846976\"] \n  23 -> 24 [size =\"14846976\"]\n  24 [size=\"19914752\", alpha=\"0.07\", expect_size=\"9957376\"] \n  24 -> 25 [size =\"9957376\"]\n  25 [size=\"93962240\", alpha=\"0.15\", expect_size=\"46981120\"] \n  25 -> 26 [size =\"46981120\"]\n  26 [size=\"37285888\", alpha=\"0.01\", expect_size=\"18642944\"] \n  26 -> 27 [size =\"18642944\"]\n  27 [size=\"11857920\", alpha=\"0.19\", expect_size=\"5928960\"] \n  27 -> 28 [size =\"5928960\"]\n  28 [size=\"95234048\", alpha=\"0.09\", expect_size=\"47617024\"] \n  28 -> 29 [size =\"47617024\"]\n  29 [size=\"51113984\", alpha=\"0.00\", expect_size=\"25556992\"] \n  29 -> 30 [size =\"25556992\"]\n  30 [size=\"76025856\", alpha=\"0.02\", expect_size=\"38012928\"] \n  30 -> 31 [size =\"38012928\"]\n  31 [size=\"17197056\", alpha=\"0.00\", expect_size=\"8598528\"] \n  31 -> 32 [size =\"8598528\"]\n  32 [size=\"31066112\", alpha=\"0.03\", expect_size=\"15533056\"] \n  32 -> 33 [size =\"15533056\"]\n  33 [size=\"73938944\", alpha=\"0.16\", expect_size=\"36969472\"] \n  33 -> 34 [size =\"36969472\"]\n  34 [size=\"32245760\", alpha=\"0.01\", expect_size=\"16122880\"] \n  34 -> 35 [size =\"16122880\"]\n  35 [size=\"64335872\", alpha=\"0.09\", expect_size=\"32167936\"] \n  35 -> 36 [size =\"32167936\"]\n  36 [size=\"42917888\", alpha=\"0.00\", expect_size=\"21458944\"] \n  36 -> 37 [size =\"21458944\"]\n  37 [size=\"48586752\", alpha=\"0.00\", expect_size=\"24293376\"] \n  37 -> 38 [size =\"24293376\"]\n  38 [size=\"45328384\", alpha=\"0.00\", expect_size=\"22664192\"] \n  38 -> 39 [size =\"22664192\"]\n  39 [size=\"85602304\", alpha=\"0.11\", expect_size=\"42801152\"] \n  39 -> 40 [size =\"42801152\"]\n  40 [size=\"87789568\", alpha=\"0.01\", expect_size=\"43894784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105397760\", alpha=\"0.07\", expect_size=\"42159104\"] \n  1 -> 2 [size =\"42159104\"]\n  2 [size=\"46202880\", alpha=\"0.03\", expect_size=\"18481152\"] \n  2 -> 3 [size =\"18481152\"]\n  3 [size=\"41728000\", alpha=\"0.18\", expect_size=\"16691200\"] \n  3 -> 4 [size =\"16691200\"]\n  4 [size=\"21785600\", alpha=\"0.16\", expect_size=\"8714240\"] \n  4 -> 5 [size =\"8714240\"]\n  5 [size=\"106339840\", alpha=\"0.12\", expect_size=\"42535936\"] \n  5 -> 6 [size =\"42535936\"]\n  6 [size=\"56637440\", alpha=\"0.03\", expect_size=\"22654976\"] \n  6 -> 7 [size =\"22654976\"]\n  7 [size=\"117800960\", alpha=\"0.06\", expect_size=\"47120384\"] \n  7 -> 8 [size =\"47120384\"]\n  8 [size=\"27343360\", alpha=\"0.11\", expect_size=\"10937344\"] \n  8 -> 9 [size =\"10937344\"]\n  9 [size=\"99194880\", alpha=\"0.05\", expect_size=\"39677952\"] \n  9 -> 10 [size =\"39677952\"]\n  10 [size=\"21632000\", alpha=\"0.10\", expect_size=\"8652800\"] \n  10 -> 11 [size =\"8652800\"]\n  11 [size=\"51279360\", alpha=\"0.06\", expect_size=\"20511744\"] \n  11 -> 12 [size =\"20511744\"]\n  12 [size=\"92185600\", alpha=\"0.14\", expect_size=\"36874240\"] \n  12 -> 13 [size =\"36874240\"]\n  13 [size=\"108897280\", alpha=\"0.07\", expect_size=\"43558912\"] \n  13 -> 14 [size =\"43558912\"]\n  14 [size=\"96832000\", alpha=\"0.03\", expect_size=\"38732800\"] \n  14 -> 15 [size =\"38732800\"]\n  15 [size=\"73497600\", alpha=\"0.07\", expect_size=\"29399040\"] \n  15 -> 16 [size =\"29399040\"]\n  16 [size=\"23943680\", alpha=\"0.14\", expect_size=\"9577472\"] \n  16 -> 17 [size =\"9577472\"]\n  17 [size=\"40857600\", alpha=\"0.01\", expect_size=\"16343040\"] \n  17 -> 18 [size =\"16343040\"]\n  18 [size=\"75543040\", alpha=\"0.02\", expect_size=\"30217216\"] \n  18 -> 19 [size =\"30217216\"]\n  19 [size=\"20131840\", alpha=\"0.12\", expect_size=\"8052736\"] \n  19 -> 20 [size =\"8052736\"]\n  20 [size=\"47938560\", alpha=\"0.03\", expect_size=\"19175424\"] \n  20 -> 21 [size =\"19175424\"]\n  21 [size=\"108764160\", alpha=\"0.10\", expect_size=\"43505664\"] \n  21 -> 22 [size =\"43505664\"]\n  22 [size=\"25684480\", alpha=\"0.02\", expect_size=\"10273792\"] \n  22 -> 23 [size =\"10273792\"]\n  23 [size=\"108748800\", alpha=\"0.19\", expect_size=\"43499520\"] \n  23 -> 24 [size =\"43499520\"]\n  24 [size=\"32993280\", alpha=\"0.18\", expect_size=\"13197312\"] \n  24 -> 25 [size =\"13197312\"]\n  25 [size=\"50598400\", alpha=\"0.13\", expect_size=\"20239360\"] \n  25 -> 26 [size =\"20239360\"]\n  26 [size=\"90117120\", alpha=\"0.15\", expect_size=\"36046848\"] \n  26 -> 27 [size =\"36046848\"]\n  27 [size=\"56432640\", alpha=\"0.14\", expect_size=\"22573056\"] \n  27 -> 28 [size =\"22573056\"]\n  28 [size=\"62538240\", alpha=\"0.16\", expect_size=\"25015296\"] \n  28 -> 29 [size =\"25015296\"]\n  29 [size=\"73313280\", alpha=\"0.13\", expect_size=\"29325312\"] \n  29 -> 30 [size =\"29325312\"]\n  30 [size=\"24780800\", alpha=\"0.11\", expect_size=\"9912320\"] \n  30 -> 31 [size =\"9912320\"]\n  31 [size=\"42065920\", alpha=\"0.16\", expect_size=\"16826368\"] \n  31 -> 32 [size =\"16826368\"]\n  32 [size=\"99489280\", alpha=\"0.14\", expect_size=\"39795712\"] \n  32 -> 33 [size =\"39795712\"]\n  33 [size=\"112186880\", alpha=\"0.08\", expect_size=\"44874752\"] \n  33 -> 34 [size =\"44874752\"]\n  34 [size=\"108784640\", alpha=\"0.17\", expect_size=\"43513856\"] \n  34 -> 35 [size =\"43513856\"]\n  35 [size=\"97955840\", alpha=\"0.15\", expect_size=\"39182336\"] \n  35 -> 36 [size =\"39182336\"]\n  36 [size=\"54978560\", alpha=\"0.16\", expect_size=\"21991424\"] \n  36 -> 37 [size =\"21991424\"]\n  37 [size=\"23377920\", alpha=\"0.01\", expect_size=\"9351168\"] \n  37 -> 38 [size =\"9351168\"]\n  38 [size=\"107850240\", alpha=\"0.17\", expect_size=\"43140096\"] \n  38 -> 39 [size =\"43140096\"]\n  39 [size=\"86707200\", alpha=\"0.14\", expect_size=\"34682880\"] \n  39 -> 40 [size =\"34682880\"]\n  40 [size=\"46031360\", alpha=\"0.17\", expect_size=\"18412544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95936000\", alpha=\"0.00\", expect_size=\"38374400\"] \n  2 [size=\"38773760\", alpha=\"0.19\", expect_size=\"15509504\"] \n  2 -> 16 [size =\"15509504\"]\n  2 -> 20 [size =\"15509504\"]\n  3 [size=\"102840320\", alpha=\"0.14\", expect_size=\"41136128\"] \n  4 [size=\"41779200\", alpha=\"0.13\", expect_size=\"16711680\"] \n  4 -> 12 [size =\"16711680\"]\n  4 -> 15 [size =\"16711680\"]\n  4 -> 18 [size =\"16711680\"]\n  5 [size=\"104445440\", alpha=\"0.15\", expect_size=\"41778176\"] \n  5 -> 19 [size =\"41778176\"]\n  5 -> 20 [size =\"41778176\"]\n  6 [size=\"119270400\", alpha=\"0.11\", expect_size=\"47708160\"] \n  7 [size=\"28088320\", alpha=\"0.03\", expect_size=\"11235328\"] \n  7 -> 12 [size =\"11235328\"]\n  7 -> 13 [size =\"11235328\"]\n  7 -> 20 [size =\"11235328\"]\n  8 [size=\"32965120\", alpha=\"0.13\", expect_size=\"13186048\"] \n  8 -> 15 [size =\"13186048\"]\n  9 [size=\"71923200\", alpha=\"0.13\", expect_size=\"28769280\"] \n  10 [size=\"117800960\", alpha=\"0.08\", expect_size=\"47120384\"] \n  10 -> 14 [size =\"47120384\"]\n  10 -> 15 [size =\"47120384\"]\n  11 [size=\"85235200\", alpha=\"0.12\", expect_size=\"34094080\"] \n  11 -> 17 [size =\"34094080\"]\n  12 [size=\"87290880\", alpha=\"0.04\", expect_size=\"34916352\"] \n  12 -> 21 [size =\"34916352\"]\n  12 -> 22 [size =\"34916352\"]\n  12 -> 24 [size =\"34916352\"]\n  12 -> 28 [size =\"34916352\"]\n  12 -> 29 [size =\"34916352\"]\n  12 -> 30 [size =\"34916352\"]\n  12 -> 31 [size =\"34916352\"]\n  12 -> 34 [size =\"34916352\"]\n  12 -> 35 [size =\"34916352\"]\n  13 [size=\"80455680\", alpha=\"0.12\", expect_size=\"32182272\"] \n  13 -> 22 [size =\"32182272\"]\n  13 -> 26 [size =\"32182272\"]\n  13 -> 30 [size =\"32182272\"]\n  13 -> 31 [size =\"32182272\"]\n  13 -> 33 [size =\"32182272\"]\n  13 -> 34 [size =\"32182272\"]\n  14 [size=\"42373120\", alpha=\"0.19\", expect_size=\"16949248\"] \n  14 -> 22 [size =\"16949248\"]\n  14 -> 27 [size =\"16949248\"]\n  14 -> 28 [size =\"16949248\"]\n  14 -> 29 [size =\"16949248\"]\n  14 -> 30 [size =\"16949248\"]\n  14 -> 31 [size =\"16949248\"]\n  14 -> 32 [size =\"16949248\"]\n  15 [size=\"121789440\", alpha=\"0.17\", expect_size=\"48715776\"] \n  15 -> 24 [size =\"48715776\"]\n  15 -> 25 [size =\"48715776\"]\n  15 -> 26 [size =\"48715776\"]\n  15 -> 28 [size =\"48715776\"]\n  15 -> 35 [size =\"48715776\"]\n  15 -> 36 [size =\"48715776\"]\n  16 [size=\"93621760\", alpha=\"0.18\", expect_size=\"37448704\"] \n  16 -> 28 [size =\"37448704\"]\n  16 -> 30 [size =\"37448704\"]\n  16 -> 32 [size =\"37448704\"]\n  16 -> 34 [size =\"37448704\"]\n  17 [size=\"43366400\", alpha=\"0.00\", expect_size=\"17346560\"] \n  17 -> 26 [size =\"17346560\"]\n  17 -> 28 [size =\"17346560\"]\n  17 -> 29 [size =\"17346560\"]\n  17 -> 31 [size =\"17346560\"]\n  17 -> 35 [size =\"17346560\"]\n  18 [size=\"61404160\", alpha=\"0.07\", expect_size=\"24561664\"] \n  18 -> 25 [size =\"24561664\"]\n  18 -> 27 [size =\"24561664\"]\n  19 [size=\"19502080\", alpha=\"0.12\", expect_size=\"7800832\"] \n  19 -> 22 [size =\"7800832\"]\n  19 -> 31 [size =\"7800832\"]\n  19 -> 34 [size =\"7800832\"]\n  20 [size=\"97021440\", alpha=\"0.02\", expect_size=\"38808576\"] \n  20 -> 23 [size =\"38808576\"]\n  20 -> 24 [size =\"38808576\"]\n  20 -> 27 [size =\"38808576\"]\n  20 -> 35 [size =\"38808576\"]\n  20 -> 36 [size =\"38808576\"]\n  21 [size=\"26493440\", alpha=\"0.06\", expect_size=\"10597376\"] \n  22 [size=\"98616320\", alpha=\"0.14\", expect_size=\"39446528\"] \n  23 [size=\"124487680\", alpha=\"0.18\", expect_size=\"49795072\"] \n  24 [size=\"75543040\", alpha=\"0.06\", expect_size=\"30217216\"] \n  25 [size=\"66785280\", alpha=\"0.10\", expect_size=\"26714112\"] \n  25 -> 37 [size =\"26714112\"]\n  26 [size=\"48604160\", alpha=\"0.11\", expect_size=\"19441664\"] \n  26 -> 38 [size =\"19441664\"]\n  27 [size=\"34263040\", alpha=\"0.16\", expect_size=\"13705216\"] \n  27 -> 37 [size =\"13705216\"]\n  27 -> 38 [size =\"13705216\"]\n  28 [size=\"36869120\", alpha=\"0.03\", expect_size=\"14747648\"] \n  28 -> 40 [size =\"14747648\"]\n  29 [size=\"76456960\", alpha=\"0.01\", expect_size=\"30582784\"] \n  30 [size=\"32148480\", alpha=\"0.16\", expect_size=\"12859392\"] \n  30 -> 37 [size =\"12859392\"]\n  31 [size=\"45585920\", alpha=\"0.04\", expect_size=\"18234368\"] \n  32 [size=\"81638400\", alpha=\"0.04\", expect_size=\"32655360\"] \n  33 [size=\"48007680\", alpha=\"0.16\", expect_size=\"19203072\"] \n  33 -> 40 [size =\"19203072\"]\n  34 [size=\"34429440\", alpha=\"0.12\", expect_size=\"13771776\"] \n  34 -> 37 [size =\"13771776\"]\n  34 -> 40 [size =\"13771776\"]\n  35 [size=\"69575680\", alpha=\"0.07\", expect_size=\"27830272\"] \n  35 -> 40 [size =\"27830272\"]\n  35 -> 40 [size =\"27830272\"]\n  36 [size=\"126822400\", alpha=\"0.16\", expect_size=\"50728960\"] \n  36 -> 39 [size =\"50728960\"]\n  36 -> 40 [size =\"50728960\"]\n  37 [size=\"76403200\", alpha=\"0.10\", expect_size=\"30561280\"] \n  38 [size=\"51264000\", alpha=\"0.12\", expect_size=\"20505600\"] \n  39 [size=\"71267840\", alpha=\"0.15\", expect_size=\"28507136\"] \n  40 [size=\"77260800\", alpha=\"0.12\", expect_size=\"30904320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114076160\", alpha=\"0.01\", expect_size=\"45630464\"] \n  1 -> 25 [size =\"45630464\"]\n  1 -> 28 [size =\"45630464\"]\n  1 -> 30 [size =\"45630464\"]\n  1 -> 34 [size =\"45630464\"]\n  2 [size=\"90672640\", alpha=\"0.06\", expect_size=\"36269056\"] \n  2 -> 26 [size =\"36269056\"]\n  2 -> 31 [size =\"36269056\"]\n  2 -> 34 [size =\"36269056\"]\n  2 -> 39 [size =\"36269056\"]\n  2 -> 40 [size =\"36269056\"]\n  3 [size=\"98816000\", alpha=\"0.16\", expect_size=\"39526400\"] \n  3 -> 26 [size =\"39526400\"]\n  3 -> 31 [size =\"39526400\"]\n  3 -> 33 [size =\"39526400\"]\n  3 -> 38 [size =\"39526400\"]\n  3 -> 39 [size =\"39526400\"]\n  4 [size=\"95495680\", alpha=\"0.07\", expect_size=\"38198272\"] \n  4 -> 25 [size =\"38198272\"]\n  4 -> 26 [size =\"38198272\"]\n  4 -> 30 [size =\"38198272\"]\n  4 -> 32 [size =\"38198272\"]\n  4 -> 34 [size =\"38198272\"]\n  4 -> 37 [size =\"38198272\"]\n  4 -> 38 [size =\"38198272\"]\n  4 -> 39 [size =\"38198272\"]\n  5 [size=\"52520960\", alpha=\"0.03\", expect_size=\"21008384\"] \n  5 -> 30 [size =\"21008384\"]\n  5 -> 34 [size =\"21008384\"]\n  5 -> 35 [size =\"21008384\"]\n  5 -> 37 [size =\"21008384\"]\n  5 -> 38 [size =\"21008384\"]\n  6 [size=\"67407360\", alpha=\"0.05\", expect_size=\"26962944\"] \n  6 -> 25 [size =\"26962944\"]\n  6 -> 26 [size =\"26962944\"]\n  6 -> 29 [size =\"26962944\"]\n  6 -> 32 [size =\"26962944\"]\n  6 -> 34 [size =\"26962944\"]\n  6 -> 37 [size =\"26962944\"]\n  6 -> 38 [size =\"26962944\"]\n  7 [size=\"35589120\", alpha=\"0.01\", expect_size=\"14235648\"] \n  7 -> 26 [size =\"14235648\"]\n  7 -> 26 [size =\"14235648\"]\n  7 -> 27 [size =\"14235648\"]\n  7 -> 28 [size =\"14235648\"]\n  7 -> 31 [size =\"14235648\"]\n  7 -> 32 [size =\"14235648\"]\n  7 -> 34 [size =\"14235648\"]\n  7 -> 37 [size =\"14235648\"]\n  7 -> 38 [size =\"14235648\"]\n  8 [size=\"119398400\", alpha=\"0.03\", expect_size=\"47759360\"] \n  8 -> 26 [size =\"47759360\"]\n  8 -> 34 [size =\"47759360\"]\n  8 -> 37 [size =\"47759360\"]\n  8 -> 38 [size =\"47759360\"]\n  9 [size=\"42618880\", alpha=\"0.14\", expect_size=\"17047552\"] \n  9 -> 26 [size =\"17047552\"]\n  9 -> 30 [size =\"17047552\"]\n  9 -> 32 [size =\"17047552\"]\n  9 -> 34 [size =\"17047552\"]\n  9 -> 36 [size =\"17047552\"]\n  9 -> 37 [size =\"17047552\"]\n  9 -> 38 [size =\"17047552\"]\n  10 [size=\"123512320\", alpha=\"0.16\", expect_size=\"49404928\"] \n  10 -> 25 [size =\"49404928\"]\n  10 -> 26 [size =\"49404928\"]\n  10 -> 30 [size =\"49404928\"]\n  10 -> 31 [size =\"49404928\"]\n  10 -> 34 [size =\"49404928\"]\n  10 -> 36 [size =\"49404928\"]\n  10 -> 37 [size =\"49404928\"]\n  10 -> 38 [size =\"49404928\"]\n  11 [size=\"126981120\", alpha=\"0.13\", expect_size=\"50792448\"] \n  11 -> 26 [size =\"50792448\"]\n  11 -> 29 [size =\"50792448\"]\n  11 -> 31 [size =\"50792448\"]\n  11 -> 33 [size =\"50792448\"]\n  11 -> 34 [size =\"50792448\"]\n  11 -> 37 [size =\"50792448\"]\n  11 -> 38 [size =\"50792448\"]\n  11 -> 38 [size =\"50792448\"]\n  12 [size=\"17640960\", alpha=\"0.18\", expect_size=\"7056384\"] \n  12 -> 26 [size =\"7056384\"]\n  12 -> 34 [size =\"7056384\"]\n  12 -> 38 [size =\"7056384\"]\n  13 [size=\"54323200\", alpha=\"0.01\", expect_size=\"21729280\"] \n  13 -> 27 [size =\"21729280\"]\n  13 -> 30 [size =\"21729280\"]\n  13 -> 31 [size =\"21729280\"]\n  13 -> 34 [size =\"21729280\"]\n  14 [size=\"28782080\", alpha=\"0.00\", expect_size=\"11512832\"] \n  14 -> 27 [size =\"11512832\"]\n  14 -> 28 [size =\"11512832\"]\n  14 -> 30 [size =\"11512832\"]\n  14 -> 31 [size =\"11512832\"]\n  14 -> 32 [size =\"11512832\"]\n  14 -> 34 [size =\"11512832\"]\n  14 -> 37 [size =\"11512832\"]\n  15 [size=\"70208000\", alpha=\"0.03\", expect_size=\"28083200\"] \n  15 -> 26 [size =\"28083200\"]\n  15 -> 27 [size =\"28083200\"]\n  15 -> 28 [size =\"28083200\"]\n  15 -> 34 [size =\"28083200\"]\n  15 -> 37 [size =\"28083200\"]\n  15 -> 38 [size =\"28083200\"]\n  15 -> 39 [size =\"28083200\"]\n  16 [size=\"87073280\", alpha=\"0.16\", expect_size=\"34829312\"] \n  16 -> 25 [size =\"34829312\"]\n  16 -> 26 [size =\"34829312\"]\n  16 -> 27 [size =\"34829312\"]\n  16 -> 30 [size =\"34829312\"]\n  16 -> 34 [size =\"34829312\"]\n  16 -> 38 [size =\"34829312\"]\n  16 -> 39 [size =\"34829312\"]\n  17 [size=\"114237440\", alpha=\"0.20\", expect_size=\"45694976\"] \n  17 -> 25 [size =\"45694976\"]\n  17 -> 27 [size =\"45694976\"]\n  17 -> 27 [size =\"45694976\"]\n  17 -> 28 [size =\"45694976\"]\n  17 -> 32 [size =\"45694976\"]\n  17 -> 34 [size =\"45694976\"]\n  17 -> 38 [size =\"45694976\"]\n  17 -> 39 [size =\"45694976\"]\n  17 -> 40 [size =\"45694976\"]\n  18 [size=\"119047680\", alpha=\"0.12\", expect_size=\"47619072\"] \n  18 -> 26 [size =\"47619072\"]\n  18 -> 31 [size =\"47619072\"]\n  18 -> 34 [size =\"47619072\"]\n  18 -> 38 [size =\"47619072\"]\n  18 -> 39 [size =\"47619072\"]\n  19 [size=\"17251840\", alpha=\"0.03\", expect_size=\"6900736\"] \n  19 -> 26 [size =\"6900736\"]\n  19 -> 29 [size =\"6900736\"]\n  19 -> 30 [size =\"6900736\"]\n  19 -> 31 [size =\"6900736\"]\n  19 -> 32 [size =\"6900736\"]\n  19 -> 34 [size =\"6900736\"]\n  19 -> 37 [size =\"6900736\"]\n  19 -> 39 [size =\"6900736\"]\n  20 [size=\"99379200\", alpha=\"0.02\", expect_size=\"39751680\"] \n  20 -> 26 [size =\"39751680\"]\n  20 -> 27 [size =\"39751680\"]\n  20 -> 29 [size =\"39751680\"]\n  20 -> 30 [size =\"39751680\"]\n  20 -> 32 [size =\"39751680\"]\n  20 -> 34 [size =\"39751680\"]\n  20 -> 37 [size =\"39751680\"]\n  20 -> 39 [size =\"39751680\"]\n  21 [size=\"76372480\", alpha=\"0.17\", expect_size=\"30548992\"] \n  21 -> 26 [size =\"30548992\"]\n  21 -> 30 [size =\"30548992\"]\n  21 -> 31 [size =\"30548992\"]\n  21 -> 32 [size =\"30548992\"]\n  21 -> 36 [size =\"30548992\"]\n  21 -> 37 [size =\"30548992\"]\n  21 -> 37 [size =\"30548992\"]\n  21 -> 40 [size =\"30548992\"]\n  22 [size=\"37811200\", alpha=\"0.06\", expect_size=\"15124480\"] \n  22 -> 26 [size =\"15124480\"]\n  22 -> 27 [size =\"15124480\"]\n  22 -> 30 [size =\"15124480\"]\n  22 -> 31 [size =\"15124480\"]\n  22 -> 37 [size =\"15124480\"]\n  22 -> 38 [size =\"15124480\"]\n  22 -> 39 [size =\"15124480\"]\n  22 -> 40 [size =\"15124480\"]\n  23 [size=\"28090880\", alpha=\"0.09\", expect_size=\"11236352\"] \n  23 -> 26 [size =\"11236352\"]\n  23 -> 30 [size =\"11236352\"]\n  23 -> 31 [size =\"11236352\"]\n  23 -> 32 [size =\"11236352\"]\n  23 -> 34 [size =\"11236352\"]\n  23 -> 37 [size =\"11236352\"]\n  23 -> 39 [size =\"11236352\"]\n  23 -> 40 [size =\"11236352\"]\n  24 [size=\"32263680\", alpha=\"0.06\", expect_size=\"12905472\"] \n  24 -> 25 [size =\"12905472\"]\n  24 -> 27 [size =\"12905472\"]\n  24 -> 30 [size =\"12905472\"]\n  24 -> 32 [size =\"12905472\"]\n  24 -> 34 [size =\"12905472\"]\n  24 -> 36 [size =\"12905472\"]\n  25 [size=\"34995200\", alpha=\"0.10\", expect_size=\"13998080\"] \n  26 [size=\"49817600\", alpha=\"0.03\", expect_size=\"19927040\"] \n  27 [size=\"24550400\", alpha=\"0.20\", expect_size=\"9820160\"] \n  28 [size=\"22632960\", alpha=\"0.15\", expect_size=\"9053184\"] \n  29 [size=\"95165440\", alpha=\"0.14\", expect_size=\"38066176\"] \n  30 [size=\"115673600\", alpha=\"0.13\", expect_size=\"46269440\"] \n  31 [size=\"126425600\", alpha=\"0.11\", expect_size=\"50570240\"] \n  32 [size=\"110423040\", alpha=\"0.10\", expect_size=\"44169216\"] \n  33 [size=\"27271680\", alpha=\"0.15\", expect_size=\"10908672\"] \n  34 [size=\"80647680\", alpha=\"0.03\", expect_size=\"32259072\"] \n  35 [size=\"117009920\", alpha=\"0.01\", expect_size=\"46803968\"] \n  36 [size=\"57807360\", alpha=\"0.12\", expect_size=\"23122944\"] \n  37 [size=\"75304960\", alpha=\"0.20\", expect_size=\"30121984\"] \n  38 [size=\"74024960\", alpha=\"0.05\", expect_size=\"29609984\"] \n  39 [size=\"42293760\", alpha=\"0.11\", expect_size=\"16917504\"] \n  40 [size=\"127587840\", alpha=\"0.12\", expect_size=\"51035136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79578453\", alpha=\"0.16\", expect_size=\"23873536\"] \n  1 -> 6 [size =\"23873536\"]\n  1 -> 8 [size =\"23873536\"]\n  1 -> 9 [size =\"23873536\"]\n  2 [size=\"63883947\", alpha=\"0.16\", expect_size=\"19165184\"] \n  2 -> 6 [size =\"19165184\"]\n  2 -> 8 [size =\"19165184\"]\n  2 -> 9 [size =\"19165184\"]\n  2 -> 10 [size =\"19165184\"]\n  3 [size=\"87610027\", alpha=\"0.10\", expect_size=\"26283008\"] \n  3 -> 6 [size =\"26283008\"]\n  3 -> 9 [size =\"26283008\"]\n  3 -> 9 [size =\"26283008\"]\n  4 [size=\"95426560\", alpha=\"0.11\", expect_size=\"28627968\"] \n  4 -> 6 [size =\"28627968\"]\n  4 -> 10 [size =\"28627968\"]\n  5 [size=\"102604800\", alpha=\"0.16\", expect_size=\"30781440\"] \n  5 -> 6 [size =\"30781440\"]\n  5 -> 7 [size =\"30781440\"]\n  5 -> 11 [size =\"30781440\"]\n  6 [size=\"163918507\", alpha=\"0.11\", expect_size=\"49175552\"] \n  6 -> 13 [size =\"49175552\"]\n  6 -> 15 [size =\"49175552\"]\n  6 -> 16 [size =\"49175552\"]\n  7 [size=\"29603840\", alpha=\"0.08\", expect_size=\"8881152\"] \n  7 -> 12 [size =\"8881152\"]\n  7 -> 13 [size =\"8881152\"]\n  7 -> 15 [size =\"8881152\"]\n  7 -> 16 [size =\"8881152\"]\n  8 [size=\"152552107\", alpha=\"0.12\", expect_size=\"45765632\"] \n  8 -> 12 [size =\"45765632\"]\n  8 -> 13 [size =\"45765632\"]\n  8 -> 15 [size =\"45765632\"]\n  8 -> 16 [size =\"45765632\"]\n  9 [size=\"45704533\", alpha=\"0.11\", expect_size=\"13711360\"] \n  9 -> 12 [size =\"13711360\"]\n  9 -> 13 [size =\"13711360\"]\n  9 -> 15 [size =\"13711360\"]\n  9 -> 16 [size =\"13711360\"]\n  9 -> 17 [size =\"13711360\"]\n  10 [size=\"124730027\", alpha=\"0.03\", expect_size=\"37419008\"] \n  10 -> 12 [size =\"37419008\"]\n  10 -> 13 [size =\"37419008\"]\n  10 -> 15 [size =\"37419008\"]\n  10 -> 17 [size =\"37419008\"]\n  10 -> 17 [size =\"37419008\"]\n  11 [size=\"118340267\", alpha=\"0.10\", expect_size=\"35502080\"] \n  11 -> 12 [size =\"35502080\"]\n  11 -> 13 [size =\"35502080\"]\n  11 -> 14 [size =\"35502080\"]\n  11 -> 15 [size =\"35502080\"]\n  12 [size=\"83486720\", alpha=\"0.00\", expect_size=\"25046016\"] \n  12 -> 18 [size =\"25046016\"]\n  12 -> 19 [size =\"25046016\"]\n  12 -> 20 [size =\"25046016\"]\n  12 -> 21 [size =\"25046016\"]\n  12 -> 22 [size =\"25046016\"]\n  13 [size=\"48865280\", alpha=\"0.06\", expect_size=\"14659584\"] \n  13 -> 19 [size =\"14659584\"]\n  13 -> 20 [size =\"14659584\"]\n  13 -> 21 [size =\"14659584\"]\n  13 -> 22 [size =\"14659584\"]\n  14 [size=\"128931840\", alpha=\"0.06\", expect_size=\"38679552\"] \n  14 -> 18 [size =\"38679552\"]\n  14 -> 20 [size =\"38679552\"]\n  14 -> 21 [size =\"38679552\"]\n  15 [size=\"55220907\", alpha=\"0.12\", expect_size=\"16566272\"] \n  15 -> 18 [size =\"16566272\"]\n  15 -> 19 [size =\"16566272\"]\n  15 -> 20 [size =\"16566272\"]\n  15 -> 21 [size =\"16566272\"]\n  15 -> 23 [size =\"16566272\"]\n  16 [size=\"21896533\", alpha=\"0.15\", expect_size=\"6568960\"] \n  16 -> 18 [size =\"6568960\"]\n  16 -> 21 [size =\"6568960\"]\n  17 [size=\"111308800\", alpha=\"0.08\", expect_size=\"33392640\"] \n  17 -> 18 [size =\"33392640\"]\n  17 -> 20 [size =\"33392640\"]\n  17 -> 21 [size =\"33392640\"]\n  17 -> 22 [size =\"33392640\"]\n  18 [size=\"20681387\", alpha=\"0.08\", expect_size=\"6204416\"] \n  18 -> 24 [size =\"6204416\"]\n  18 -> 27 [size =\"6204416\"]\n  18 -> 28 [size =\"6204416\"]\n  19 [size=\"117896533\", alpha=\"0.06\", expect_size=\"35368960\"] \n  19 -> 27 [size =\"35368960\"]\n  19 -> 28 [size =\"35368960\"]\n  20 [size=\"50766507\", alpha=\"0.13\", expect_size=\"15229952\"] \n  20 -> 25 [size =\"15229952\"]\n  20 -> 26 [size =\"15229952\"]\n  20 -> 27 [size =\"15229952\"]\n  21 [size=\"76762453\", alpha=\"0.07\", expect_size=\"23028736\"] \n  21 -> 24 [size =\"23028736\"]\n  21 -> 25 [size =\"23028736\"]\n  21 -> 26 [size =\"23028736\"]\n  21 -> 27 [size =\"23028736\"]\n  22 [size=\"154531840\", alpha=\"0.07\", expect_size=\"46359552\"] \n  22 -> 24 [size =\"46359552\"]\n  22 -> 27 [size =\"46359552\"]\n  22 -> 28 [size =\"46359552\"]\n  23 [size=\"155617280\", alpha=\"0.17\", expect_size=\"46685184\"] \n  23 -> 24 [size =\"46685184\"]\n  23 -> 25 [size =\"46685184\"]\n  23 -> 26 [size =\"46685184\"]\n  23 -> 27 [size =\"46685184\"]\n  23 -> 28 [size =\"46685184\"]\n  24 [size=\"47520427\", alpha=\"0.16\", expect_size=\"14256128\"] \n  24 -> 29 [size =\"14256128\"]\n  24 -> 32 [size =\"14256128\"]\n  24 -> 33 [size =\"14256128\"]\n  24 -> 34 [size =\"14256128\"]\n  25 [size=\"92849493\", alpha=\"0.06\", expect_size=\"27854848\"] \n  25 -> 29 [size =\"27854848\"]\n  25 -> 30 [size =\"27854848\"]\n  25 -> 31 [size =\"27854848\"]\n  25 -> 32 [size =\"27854848\"]\n  25 -> 33 [size =\"27854848\"]\n  26 [size=\"31170560\", alpha=\"0.14\", expect_size=\"9351168\"] \n  26 -> 29 [size =\"9351168\"]\n  26 -> 30 [size =\"9351168\"]\n  26 -> 31 [size =\"9351168\"]\n  26 -> 32 [size =\"9351168\"]\n  26 -> 33 [size =\"9351168\"]\n  27 [size=\"146438827\", alpha=\"0.04\", expect_size=\"43931648\"] \n  27 -> 29 [size =\"43931648\"]\n  27 -> 30 [size =\"43931648\"]\n  27 -> 33 [size =\"43931648\"]\n  27 -> 34 [size =\"43931648\"]\n  28 [size=\"49097387\", alpha=\"0.12\", expect_size=\"14729216\"] \n  28 -> 29 [size =\"14729216\"]\n  28 -> 30 [size =\"14729216\"]\n  28 -> 33 [size =\"14729216\"]\n  29 [size=\"115097600\", alpha=\"0.03\", expect_size=\"34529280\"] \n  29 -> 35 [size =\"34529280\"]\n  29 -> 36 [size =\"34529280\"]\n  29 -> 38 [size =\"34529280\"]\n  29 -> 39 [size =\"34529280\"]\n  30 [size=\"163744427\", alpha=\"0.07\", expect_size=\"49123328\"] \n  30 -> 35 [size =\"49123328\"]\n  30 -> 36 [size =\"49123328\"]\n  30 -> 37 [size =\"49123328\"]\n  30 -> 38 [size =\"49123328\"]\n  30 -> 39 [size =\"49123328\"]\n  31 [size=\"106332160\", alpha=\"0.05\", expect_size=\"31899648\"] \n  31 -> 35 [size =\"31899648\"]\n  31 -> 36 [size =\"31899648\"]\n  31 -> 38 [size =\"31899648\"]\n  32 [size=\"162242560\", alpha=\"0.10\", expect_size=\"48672768\"] \n  32 -> 35 [size =\"48672768\"]\n  32 -> 36 [size =\"48672768\"]\n  32 -> 37 [size =\"48672768\"]\n  32 -> 38 [size =\"48672768\"]\n  32 -> 40 [size =\"48672768\"]\n  33 [size=\"63320747\", alpha=\"0.00\", expect_size=\"18996224\"] \n  33 -> 35 [size =\"18996224\"]\n  33 -> 36 [size =\"18996224\"]\n  33 -> 38 [size =\"18996224\"]\n  33 -> 40 [size =\"18996224\"]\n  34 [size=\"36980053\", alpha=\"0.04\", expect_size=\"11094016\"] \n  34 -> 35 [size =\"11094016\"]\n  34 -> 38 [size =\"11094016\"]\n  34 -> 40 [size =\"11094016\"]\n  35 [size=\"161174187\", alpha=\"0.13\", expect_size=\"48352256\"] \n  36 [size=\"49179307\", alpha=\"0.02\", expect_size=\"14753792\"] \n  37 [size=\"162007040\", alpha=\"0.03\", expect_size=\"48602112\"] \n  38 [size=\"39929173\", alpha=\"0.05\", expect_size=\"11978752\"] \n  39 [size=\"132597760\", alpha=\"0.19\", expect_size=\"39779328\"] \n  40 [size=\"153668267\", alpha=\"0.18\", expect_size=\"46100480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29962240\", alpha=\"0.11\", expect_size=\"11984896\"] \n  1 -> 21 [size =\"11984896\"]\n  1 -> 25 [size =\"11984896\"]\n  2 [size=\"93537280\", alpha=\"0.19\", expect_size=\"37414912\"] \n  2 -> 14 [size =\"37414912\"]\n  2 -> 17 [size =\"37414912\"]\n  2 -> 19 [size =\"37414912\"]\n  2 -> 24 [size =\"37414912\"]\n  2 -> 25 [size =\"37414912\"]\n  3 [size=\"124976640\", alpha=\"0.07\", expect_size=\"49990656\"] \n  3 -> 14 [size =\"49990656\"]\n  3 -> 16 [size =\"49990656\"]\n  3 -> 17 [size =\"49990656\"]\n  3 -> 23 [size =\"49990656\"]\n  3 -> 24 [size =\"49990656\"]\n  3 -> 25 [size =\"49990656\"]\n  3 -> 26 [size =\"49990656\"]\n  4 [size=\"81917440\", alpha=\"0.16\", expect_size=\"32766976\"] \n  4 -> 17 [size =\"32766976\"]\n  4 -> 23 [size =\"32766976\"]\n  4 -> 26 [size =\"32766976\"]\n  5 [size=\"122744320\", alpha=\"0.00\", expect_size=\"49097728\"] \n  5 -> 18 [size =\"49097728\"]\n  5 -> 26 [size =\"49097728\"]\n  6 [size=\"121548800\", alpha=\"0.09\", expect_size=\"48619520\"] \n  6 -> 15 [size =\"48619520\"]\n  6 -> 17 [size =\"48619520\"]\n  6 -> 18 [size =\"48619520\"]\n  6 -> 19 [size =\"48619520\"]\n  6 -> 21 [size =\"48619520\"]\n  6 -> 22 [size =\"48619520\"]\n  7 [size=\"119093760\", alpha=\"0.07\", expect_size=\"47637504\"] \n  7 -> 15 [size =\"47637504\"]\n  7 -> 18 [size =\"47637504\"]\n  7 -> 25 [size =\"47637504\"]\n  7 -> 26 [size =\"47637504\"]\n  8 [size=\"75614720\", alpha=\"0.01\", expect_size=\"30245888\"] \n  8 -> 15 [size =\"30245888\"]\n  8 -> 16 [size =\"30245888\"]\n  8 -> 17 [size =\"30245888\"]\n  8 -> 18 [size =\"30245888\"]\n  9 [size=\"50552320\", alpha=\"0.03\", expect_size=\"20220928\"] \n  9 -> 14 [size =\"20220928\"]\n  9 -> 18 [size =\"20220928\"]\n  9 -> 19 [size =\"20220928\"]\n  9 -> 26 [size =\"20220928\"]\n  10 [size=\"113733120\", alpha=\"0.17\", expect_size=\"45493248\"] \n  10 -> 15 [size =\"45493248\"]\n  10 -> 17 [size =\"45493248\"]\n  10 -> 20 [size =\"45493248\"]\n  10 -> 23 [size =\"45493248\"]\n  10 -> 26 [size =\"45493248\"]\n  11 [size=\"61903360\", alpha=\"0.03\", expect_size=\"24761344\"] \n  11 -> 14 [size =\"24761344\"]\n  11 -> 17 [size =\"24761344\"]\n  11 -> 23 [size =\"24761344\"]\n  11 -> 24 [size =\"24761344\"]\n  11 -> 26 [size =\"24761344\"]\n  12 [size=\"124869120\", alpha=\"0.12\", expect_size=\"49947648\"] \n  12 -> 14 [size =\"49947648\"]\n  12 -> 15 [size =\"49947648\"]\n  12 -> 19 [size =\"49947648\"]\n  12 -> 21 [size =\"49947648\"]\n  12 -> 22 [size =\"49947648\"]\n  12 -> 23 [size =\"49947648\"]\n  12 -> 27 [size =\"49947648\"]\n  13 [size=\"117798400\", alpha=\"0.19\", expect_size=\"47119360\"] \n  13 -> 14 [size =\"47119360\"]\n  13 -> 15 [size =\"47119360\"]\n  13 -> 18 [size =\"47119360\"]\n  13 -> 25 [size =\"47119360\"]\n  14 [size=\"39457280\", alpha=\"0.10\", expect_size=\"15782912\"] \n  14 -> 28 [size =\"15782912\"]\n  14 -> 30 [size =\"15782912\"]\n  14 -> 34 [size =\"15782912\"]\n  15 [size=\"14499840\", alpha=\"0.07\", expect_size=\"5799936\"] \n  15 -> 30 [size =\"5799936\"]\n  15 -> 31 [size =\"5799936\"]\n  15 -> 33 [size =\"5799936\"]\n  15 -> 34 [size =\"5799936\"]\n  16 [size=\"14848000\", alpha=\"0.14\", expect_size=\"5939200\"] \n  16 -> 28 [size =\"5939200\"]\n  16 -> 31 [size =\"5939200\"]\n  16 -> 34 [size =\"5939200\"]\n  16 -> 38 [size =\"5939200\"]\n  16 -> 39 [size =\"5939200\"]\n  17 [size=\"69440000\", alpha=\"0.11\", expect_size=\"27776000\"] \n  17 -> 28 [size =\"27776000\"]\n  17 -> 31 [size =\"27776000\"]\n  17 -> 34 [size =\"27776000\"]\n  17 -> 35 [size =\"27776000\"]\n  17 -> 39 [size =\"27776000\"]\n  18 [size=\"112494080\", alpha=\"0.11\", expect_size=\"44997632\"] \n  18 -> 32 [size =\"44997632\"]\n  18 -> 34 [size =\"44997632\"]\n  18 -> 37 [size =\"44997632\"]\n  18 -> 38 [size =\"44997632\"]\n  18 -> 39 [size =\"44997632\"]\n  18 -> 40 [size =\"44997632\"]\n  19 [size=\"120130560\", alpha=\"0.12\", expect_size=\"48052224\"] \n  19 -> 40 [size =\"48052224\"]\n  20 [size=\"21286400\", alpha=\"0.04\", expect_size=\"8514560\"] \n  20 -> 33 [size =\"8514560\"]\n  20 -> 35 [size =\"8514560\"]\n  20 -> 37 [size =\"8514560\"]\n  21 [size=\"120168960\", alpha=\"0.18\", expect_size=\"48067584\"] \n  21 -> 31 [size =\"48067584\"]\n  21 -> 33 [size =\"48067584\"]\n  21 -> 36 [size =\"48067584\"]\n  22 [size=\"18821120\", alpha=\"0.06\", expect_size=\"7528448\"] \n  22 -> 29 [size =\"7528448\"]\n  22 -> 31 [size =\"7528448\"]\n  22 -> 33 [size =\"7528448\"]\n  22 -> 34 [size =\"7528448\"]\n  22 -> 36 [size =\"7528448\"]\n  23 [size=\"92444160\", alpha=\"0.13\", expect_size=\"36977664\"] \n  23 -> 29 [size =\"36977664\"]\n  23 -> 30 [size =\"36977664\"]\n  23 -> 37 [size =\"36977664\"]\n  23 -> 39 [size =\"36977664\"]\n  24 [size=\"84928000\", alpha=\"0.12\", expect_size=\"33971200\"] \n  24 -> 29 [size =\"33971200\"]\n  24 -> 30 [size =\"33971200\"]\n  24 -> 40 [size =\"33971200\"]\n  25 [size=\"24023040\", alpha=\"0.09\", expect_size=\"9609216\"] \n  25 -> 29 [size =\"9609216\"]\n  25 -> 31 [size =\"9609216\"]\n  25 -> 36 [size =\"9609216\"]\n  25 -> 39 [size =\"9609216\"]\n  25 -> 40 [size =\"9609216\"]\n  26 [size=\"64166400\", alpha=\"0.05\", expect_size=\"25666560\"] \n  26 -> 32 [size =\"25666560\"]\n  26 -> 40 [size =\"25666560\"]\n  27 [size=\"29112320\", alpha=\"0.19\", expect_size=\"11644928\"] \n  27 -> 28 [size =\"11644928\"]\n  27 -> 29 [size =\"11644928\"]\n  27 -> 32 [size =\"11644928\"]\n  28 [size=\"92474880\", alpha=\"0.03\", expect_size=\"36989952\"] \n  29 [size=\"41797120\", alpha=\"0.14\", expect_size=\"16718848\"] \n  30 [size=\"113971200\", alpha=\"0.01\", expect_size=\"45588480\"] \n  31 [size=\"18521600\", alpha=\"0.17\", expect_size=\"7408640\"] \n  32 [size=\"126192640\", alpha=\"0.12\", expect_size=\"50477056\"] \n  33 [size=\"45557760\", alpha=\"0.05\", expect_size=\"18223104\"] \n  34 [size=\"124421120\", alpha=\"0.02\", expect_size=\"49768448\"] \n  35 [size=\"77696000\", alpha=\"0.19\", expect_size=\"31078400\"] \n  36 [size=\"15027200\", alpha=\"0.17\", expect_size=\"6010880\"] \n  37 [size=\"44853760\", alpha=\"0.04\", expect_size=\"17941504\"] \n  38 [size=\"37232640\", alpha=\"0.08\", expect_size=\"14893056\"] \n  39 [size=\"54676480\", alpha=\"0.10\", expect_size=\"21870592\"] \n  40 [size=\"16665600\", alpha=\"0.14\", expect_size=\"6666240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15022080\", alpha=\"0.07\", expect_size=\"7511040\"] \n  1 -> 7 [size =\"7511040\"]\n  1 -> 10 [size =\"7511040\"]\n  1 -> 11 [size =\"7511040\"]\n  2 [size=\"72415232\", alpha=\"0.13\", expect_size=\"36207616\"] \n  2 -> 9 [size =\"36207616\"]\n  2 -> 10 [size =\"36207616\"]\n  3 [size=\"82929664\", alpha=\"0.14\", expect_size=\"41464832\"] \n  3 -> 9 [size =\"41464832\"]\n  3 -> 10 [size =\"41464832\"]\n  4 [size=\"13017088\", alpha=\"0.14\", expect_size=\"6508544\"] \n  4 -> 11 [size =\"6508544\"]\n  5 [size=\"67307520\", alpha=\"0.05\", expect_size=\"33653760\"] \n  5 -> 7 [size =\"33653760\"]\n  5 -> 8 [size =\"33653760\"]\n  6 [size=\"67192832\", alpha=\"0.20\", expect_size=\"33596416\"] \n  7 [size=\"55488512\", alpha=\"0.04\", expect_size=\"27744256\"] \n  7 -> 13 [size =\"27744256\"]\n  7 -> 14 [size =\"27744256\"]\n  7 -> 15 [size =\"27744256\"]\n  8 [size=\"37007360\", alpha=\"0.19\", expect_size=\"18503680\"] \n  8 -> 12 [size =\"18503680\"]\n  8 -> 13 [size =\"18503680\"]\n  9 [size=\"37074944\", alpha=\"0.15\", expect_size=\"18537472\"] \n  9 -> 13 [size =\"18537472\"]\n  9 -> 14 [size =\"18537472\"]\n  9 -> 16 [size =\"18537472\"]\n  10 [size=\"100188160\", alpha=\"0.03\", expect_size=\"50094080\"] \n  10 -> 12 [size =\"50094080\"]\n  10 -> 14 [size =\"50094080\"]\n  10 -> 16 [size =\"50094080\"]\n  11 [size=\"59703296\", alpha=\"0.05\", expect_size=\"29851648\"] \n  11 -> 15 [size =\"29851648\"]\n  11 -> 16 [size =\"29851648\"]\n  12 [size=\"90681344\", alpha=\"0.03\", expect_size=\"45340672\"] \n  13 [size=\"57419776\", alpha=\"0.10\", expect_size=\"28709888\"] \n  13 -> 17 [size =\"28709888\"]\n  13 -> 22 [size =\"28709888\"]\n  14 [size=\"30588928\", alpha=\"0.06\", expect_size=\"15294464\"] \n  14 -> 21 [size =\"15294464\"]\n  14 -> 22 [size =\"15294464\"]\n  15 [size=\"94877696\", alpha=\"0.16\", expect_size=\"47438848\"] \n  15 -> 18 [size =\"47438848\"]\n  16 [size=\"22568960\", alpha=\"0.05\", expect_size=\"11284480\"] \n  16 -> 19 [size =\"11284480\"]\n  16 -> 20 [size =\"11284480\"]\n  17 [size=\"21104640\", alpha=\"0.09\", expect_size=\"10552320\"] \n  18 [size=\"41629696\", alpha=\"0.01\", expect_size=\"20814848\"] \n  19 [size=\"38776832\", alpha=\"0.16\", expect_size=\"19388416\"] \n  19 -> 24 [size =\"19388416\"]\n  19 -> 25 [size =\"19388416\"]\n  19 -> 27 [size =\"19388416\"]\n  19 -> 28 [size =\"19388416\"]\n  20 [size=\"15224832\", alpha=\"0.10\", expect_size=\"7612416\"] \n  20 -> 23 [size =\"7612416\"]\n  20 -> 28 [size =\"7612416\"]\n  21 [size=\"29505536\", alpha=\"0.05\", expect_size=\"14752768\"] \n  21 -> 26 [size =\"14752768\"]\n  22 [size=\"54558720\", alpha=\"0.13\", expect_size=\"27279360\"] \n  23 [size=\"68444160\", alpha=\"0.17\", expect_size=\"34222080\"] \n  23 -> 29 [size =\"34222080\"]\n  23 -> 34 [size =\"34222080\"]\n  24 [size=\"20381696\", alpha=\"0.01\", expect_size=\"10190848\"] \n  24 -> 32 [size =\"10190848\"]\n  24 -> 33 [size =\"10190848\"]\n  24 -> 34 [size =\"10190848\"]\n  25 [size=\"47788032\", alpha=\"0.17\", expect_size=\"23894016\"] \n  25 -> 32 [size =\"23894016\"]\n  26 [size=\"27992064\", alpha=\"0.05\", expect_size=\"13996032\"] \n  26 -> 30 [size =\"13996032\"]\n  26 -> 31 [size =\"13996032\"]\n  27 [size=\"53559296\", alpha=\"0.03\", expect_size=\"26779648\"] \n  27 -> 33 [size =\"26779648\"]\n  28 [size=\"97859584\", alpha=\"0.07\", expect_size=\"48929792\"] \n  28 -> 30 [size =\"48929792\"]\n  28 -> 32 [size =\"48929792\"]\n  28 -> 33 [size =\"48929792\"]\n  28 -> 34 [size =\"48929792\"]\n  29 [size=\"101890048\", alpha=\"0.16\", expect_size=\"50945024\"] \n  29 -> 37 [size =\"50945024\"]\n  29 -> 39 [size =\"50945024\"]\n  30 [size=\"81102848\", alpha=\"0.04\", expect_size=\"40551424\"] \n  30 -> 35 [size =\"40551424\"]\n  30 -> 37 [size =\"40551424\"]\n  31 [size=\"32933888\", alpha=\"0.02\", expect_size=\"16466944\"] \n  31 -> 35 [size =\"16466944\"]\n  31 -> 38 [size =\"16466944\"]\n  32 [size=\"56295424\", alpha=\"0.18\", expect_size=\"28147712\"] \n  32 -> 36 [size =\"28147712\"]\n  33 [size=\"24373248\", alpha=\"0.03\", expect_size=\"12186624\"] \n  33 -> 36 [size =\"12186624\"]\n  33 -> 38 [size =\"12186624\"]\n  34 [size=\"103987200\", alpha=\"0.13\", expect_size=\"51993600\"] \n  34 -> 35 [size =\"51993600\"]\n  34 -> 36 [size =\"51993600\"]\n  34 -> 37 [size =\"51993600\"]\n  35 [size=\"14548992\", alpha=\"0.00\", expect_size=\"7274496\"] \n  36 [size=\"96002048\", alpha=\"0.10\", expect_size=\"48001024\"] \n  37 [size=\"27564032\", alpha=\"0.03\", expect_size=\"13782016\"] \n  38 [size=\"42981376\", alpha=\"0.02\", expect_size=\"21490688\"] \n  38 -> 40 [size =\"21490688\"]\n  39 [size=\"74407936\", alpha=\"0.07\", expect_size=\"37203968\"] \n  39 -> 40 [size =\"37203968\"]\n  40 [size=\"54061056\", alpha=\"0.13\", expect_size=\"27030528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66639872\", alpha=\"0.04\", expect_size=\"33319936\"] \n  1 -> 5 [size =\"33319936\"]\n  2 [size=\"59975680\", alpha=\"0.03\", expect_size=\"29987840\"] \n  2 -> 3 [size =\"29987840\"]\n  2 -> 4 [size =\"29987840\"]\n  3 [size=\"25860096\", alpha=\"0.09\", expect_size=\"12930048\"] \n  4 [size=\"54958080\", alpha=\"0.02\", expect_size=\"27479040\"] \n  4 -> 6 [size =\"27479040\"]\n  5 [size=\"98836480\", alpha=\"0.17\", expect_size=\"49418240\"] \n  5 -> 6 [size =\"49418240\"]\n  5 -> 7 [size =\"49418240\"]\n  5 -> 8 [size =\"49418240\"]\n  6 [size=\"49334272\", alpha=\"0.12\", expect_size=\"24667136\"] \n  7 [size=\"42571776\", alpha=\"0.11\", expect_size=\"21285888\"] \n  7 -> 10 [size =\"21285888\"]\n  8 [size=\"54999040\", alpha=\"0.14\", expect_size=\"27499520\"] \n  8 -> 9 [size =\"27499520\"]\n  8 -> 11 [size =\"27499520\"]\n  9 [size=\"35526656\", alpha=\"0.14\", expect_size=\"17763328\"] \n  9 -> 14 [size =\"17763328\"]\n  10 [size=\"54040576\", alpha=\"0.09\", expect_size=\"27020288\"] \n  10 -> 12 [size =\"27020288\"]\n  10 -> 14 [size =\"27020288\"]\n  11 [size=\"32968704\", alpha=\"0.10\", expect_size=\"16484352\"] \n  11 -> 13 [size =\"16484352\"]\n  12 [size=\"52062208\", alpha=\"0.05\", expect_size=\"26031104\"] \n  12 -> 15 [size =\"26031104\"]\n  12 -> 17 [size =\"26031104\"]\n  13 [size=\"64061440\", alpha=\"0.13\", expect_size=\"32030720\"] \n  13 -> 16 [size =\"32030720\"]\n  14 [size=\"13279232\", alpha=\"0.11\", expect_size=\"6639616\"] \n  14 -> 16 [size =\"6639616\"]\n  15 [size=\"24145920\", alpha=\"0.10\", expect_size=\"12072960\"] \n  15 -> 18 [size =\"12072960\"]\n  15 -> 19 [size =\"12072960\"]\n  16 [size=\"102969344\", alpha=\"0.05\", expect_size=\"51484672\"] \n  16 -> 19 [size =\"51484672\"]\n  17 [size=\"66088960\", alpha=\"0.11\", expect_size=\"33044480\"] \n  18 [size=\"21696512\", alpha=\"0.01\", expect_size=\"10848256\"] \n  19 [size=\"87349248\", alpha=\"0.18\", expect_size=\"43674624\"] \n  19 -> 20 [size =\"43674624\"]\n  19 -> 21 [size =\"43674624\"]\n  20 [size=\"57544704\", alpha=\"0.10\", expect_size=\"28772352\"] \n  21 [size=\"99561472\", alpha=\"0.14\", expect_size=\"49780736\"] \n  21 -> 22 [size =\"49780736\"]\n  21 -> 23 [size =\"49780736\"]\n  22 [size=\"53596160\", alpha=\"0.09\", expect_size=\"26798080\"] \n  22 -> 24 [size =\"26798080\"]\n  23 [size=\"79525888\", alpha=\"0.06\", expect_size=\"39762944\"] \n  23 -> 25 [size =\"39762944\"]\n  23 -> 26 [size =\"39762944\"]\n  24 [size=\"45191168\", alpha=\"0.14\", expect_size=\"22595584\"] \n  24 -> 27 [size =\"22595584\"]\n  24 -> 28 [size =\"22595584\"]\n  25 [size=\"97554432\", alpha=\"0.19\", expect_size=\"48777216\"] \n  25 -> 28 [size =\"48777216\"]\n  26 [size=\"49500160\", alpha=\"0.14\", expect_size=\"24750080\"] \n  26 -> 27 [size =\"24750080\"]\n  27 [size=\"74002432\", alpha=\"0.15\", expect_size=\"37001216\"] \n  27 -> 29 [size =\"37001216\"]\n  27 -> 31 [size =\"37001216\"]\n  28 [size=\"33677312\", alpha=\"0.05\", expect_size=\"16838656\"] \n  28 -> 30 [size =\"16838656\"]\n  29 [size=\"38948864\", alpha=\"0.01\", expect_size=\"19474432\"] \n  29 -> 33 [size =\"19474432\"]\n  30 [size=\"29247488\", alpha=\"0.06\", expect_size=\"14623744\"] \n  30 -> 32 [size =\"14623744\"]\n  31 [size=\"76713984\", alpha=\"0.15\", expect_size=\"38356992\"] \n  31 -> 32 [size =\"38356992\"]\n  31 -> 33 [size =\"38356992\"]\n  32 [size=\"48762880\", alpha=\"0.14\", expect_size=\"24381440\"] \n  32 -> 35 [size =\"24381440\"]\n  33 [size=\"89251840\", alpha=\"0.04\", expect_size=\"44625920\"] \n  33 -> 34 [size =\"44625920\"]\n  33 -> 36 [size =\"44625920\"]\n  34 [size=\"24817664\", alpha=\"0.14\", expect_size=\"12408832\"] \n  34 -> 39 [size =\"12408832\"]\n  35 [size=\"88676352\", alpha=\"0.07\", expect_size=\"44338176\"] \n  35 -> 38 [size =\"44338176\"]\n  36 [size=\"86065152\", alpha=\"0.00\", expect_size=\"43032576\"] \n  36 -> 37 [size =\"43032576\"]\n  36 -> 38 [size =\"43032576\"]\n  36 -> 39 [size =\"43032576\"]\n  37 [size=\"55830528\", alpha=\"0.05\", expect_size=\"27915264\"] \n  37 -> 40 [size =\"27915264\"]\n  38 [size=\"30062592\", alpha=\"0.12\", expect_size=\"15031296\"] \n  39 [size=\"53274624\", alpha=\"0.15\", expect_size=\"26637312\"] \n  40 [size=\"56139776\", alpha=\"0.09\", expect_size=\"28069888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104586240\", alpha=\"0.17\", expect_size=\"41834496\"] \n  1 -> 10 [size =\"41834496\"]\n  1 -> 11 [size =\"41834496\"]\n  2 [size=\"108736000\", alpha=\"0.07\", expect_size=\"43494400\"] \n  2 -> 6 [size =\"43494400\"]\n  2 -> 9 [size =\"43494400\"]\n  3 [size=\"100705280\", alpha=\"0.09\", expect_size=\"40282112\"] \n  3 -> 6 [size =\"40282112\"]\n  3 -> 9 [size =\"40282112\"]\n  3 -> 11 [size =\"40282112\"]\n  4 [size=\"83230720\", alpha=\"0.17\", expect_size=\"33292288\"] \n  4 -> 6 [size =\"33292288\"]\n  4 -> 8 [size =\"33292288\"]\n  4 -> 9 [size =\"33292288\"]\n  5 [size=\"119813120\", alpha=\"0.01\", expect_size=\"47925248\"] \n  5 -> 7 [size =\"47925248\"]\n  5 -> 8 [size =\"47925248\"]\n  5 -> 9 [size =\"47925248\"]\n  5 -> 10 [size =\"47925248\"]\n  6 [size=\"84042240\", alpha=\"0.08\", expect_size=\"33616896\"] \n  6 -> 15 [size =\"33616896\"]\n  7 [size=\"52666880\", alpha=\"0.12\", expect_size=\"21066752\"] \n  7 -> 14 [size =\"21066752\"]\n  8 [size=\"20180480\", alpha=\"0.16\", expect_size=\"8072192\"] \n  8 -> 16 [size =\"8072192\"]\n  9 [size=\"97786880\", alpha=\"0.07\", expect_size=\"39114752\"] \n  9 -> 12 [size =\"39114752\"]\n  10 [size=\"28259840\", alpha=\"0.14\", expect_size=\"11303936\"] \n  10 -> 12 [size =\"11303936\"]\n  11 [size=\"58664960\", alpha=\"0.03\", expect_size=\"23465984\"] \n  11 -> 12 [size =\"23465984\"]\n  11 -> 13 [size =\"23465984\"]\n  12 [size=\"43791360\", alpha=\"0.13\", expect_size=\"17516544\"] \n  13 [size=\"86689280\", alpha=\"0.17\", expect_size=\"34675712\"] \n  14 [size=\"22110720\", alpha=\"0.18\", expect_size=\"8844288\"] \n  14 -> 17 [size =\"8844288\"]\n  14 -> 18 [size =\"8844288\"]\n  14 -> 20 [size =\"8844288\"]\n  14 -> 22 [size =\"8844288\"]\n  15 [size=\"121282560\", alpha=\"0.03\", expect_size=\"48513024\"] \n  15 -> 17 [size =\"48513024\"]\n  16 [size=\"128243200\", alpha=\"0.01\", expect_size=\"51297280\"] \n  16 -> 18 [size =\"51297280\"]\n  16 -> 19 [size =\"51297280\"]\n  16 -> 21 [size =\"51297280\"]\n  16 -> 22 [size =\"51297280\"]\n  17 [size=\"59553280\", alpha=\"0.11\", expect_size=\"23821312\"] \n  17 -> 23 [size =\"23821312\"]\n  17 -> 26 [size =\"23821312\"]\n  17 -> 27 [size =\"23821312\"]\n  18 [size=\"131033600\", alpha=\"0.02\", expect_size=\"52413440\"] \n  18 -> 23 [size =\"52413440\"]\n  18 -> 24 [size =\"52413440\"]\n  18 -> 27 [size =\"52413440\"]\n  19 [size=\"106767360\", alpha=\"0.01\", expect_size=\"42706944\"] \n  19 -> 23 [size =\"42706944\"]\n  19 -> 26 [size =\"42706944\"]\n  19 -> 27 [size =\"42706944\"]\n  20 [size=\"31063040\", alpha=\"0.16\", expect_size=\"12425216\"] \n  20 -> 23 [size =\"12425216\"]\n  20 -> 25 [size =\"12425216\"]\n  20 -> 26 [size =\"12425216\"]\n  21 [size=\"114414080\", alpha=\"0.08\", expect_size=\"45765632\"] \n  21 -> 24 [size =\"45765632\"]\n  21 -> 25 [size =\"45765632\"]\n  21 -> 26 [size =\"45765632\"]\n  21 -> 27 [size =\"45765632\"]\n  22 [size=\"15708160\", alpha=\"0.15\", expect_size=\"6283264\"] \n  22 -> 25 [size =\"6283264\"]\n  23 [size=\"92943360\", alpha=\"0.18\", expect_size=\"37177344\"] \n  23 -> 28 [size =\"37177344\"]\n  23 -> 30 [size =\"37177344\"]\n  23 -> 31 [size =\"37177344\"]\n  23 -> 33 [size =\"37177344\"]\n  24 [size=\"74337280\", alpha=\"0.12\", expect_size=\"29734912\"] \n  24 -> 29 [size =\"29734912\"]\n  24 -> 31 [size =\"29734912\"]\n  24 -> 32 [size =\"29734912\"]\n  24 -> 33 [size =\"29734912\"]\n  25 [size=\"65085440\", alpha=\"0.04\", expect_size=\"26034176\"] \n  25 -> 28 [size =\"26034176\"]\n  25 -> 29 [size =\"26034176\"]\n  25 -> 30 [size =\"26034176\"]\n  25 -> 33 [size =\"26034176\"]\n  26 [size=\"82365440\", alpha=\"0.09\", expect_size=\"32946176\"] \n  26 -> 28 [size =\"32946176\"]\n  26 -> 29 [size =\"32946176\"]\n  26 -> 32 [size =\"32946176\"]\n  27 [size=\"88931840\", alpha=\"0.20\", expect_size=\"35572736\"] \n  27 -> 28 [size =\"35572736\"]\n  27 -> 33 [size =\"35572736\"]\n  28 [size=\"35671040\", alpha=\"0.12\", expect_size=\"14268416\"] \n  28 -> 34 [size =\"14268416\"]\n  28 -> 35 [size =\"14268416\"]\n  29 [size=\"47598080\", alpha=\"0.19\", expect_size=\"19039232\"] \n  30 [size=\"51310080\", alpha=\"0.08\", expect_size=\"20524032\"] \n  30 -> 36 [size =\"20524032\"]\n  30 -> 37 [size =\"20524032\"]\n  30 -> 38 [size =\"20524032\"]\n  31 [size=\"30343680\", alpha=\"0.05\", expect_size=\"12137472\"] \n  31 -> 36 [size =\"12137472\"]\n  31 -> 37 [size =\"12137472\"]\n  31 -> 38 [size =\"12137472\"]\n  32 [size=\"76185600\", alpha=\"0.07\", expect_size=\"30474240\"] \n  32 -> 35 [size =\"30474240\"]\n  32 -> 36 [size =\"30474240\"]\n  32 -> 37 [size =\"30474240\"]\n  32 -> 38 [size =\"30474240\"]\n  33 [size=\"48532480\", alpha=\"0.02\", expect_size=\"19412992\"] \n  33 -> 37 [size =\"19412992\"]\n  33 -> 38 [size =\"19412992\"]\n  34 [size=\"34982400\", alpha=\"0.18\", expect_size=\"13992960\"] \n  34 -> 39 [size =\"13992960\"]\n  35 [size=\"105661440\", alpha=\"0.12\", expect_size=\"42264576\"] \n  35 -> 40 [size =\"42264576\"]\n  36 [size=\"13378560\", alpha=\"0.06\", expect_size=\"5351424\"] \n  36 -> 39 [size =\"5351424\"]\n  37 [size=\"65003520\", alpha=\"0.08\", expect_size=\"26001408\"] \n  37 -> 39 [size =\"26001408\"]\n  38 [size=\"64163840\", alpha=\"0.10\", expect_size=\"25665536\"] \n  38 -> 39 [size =\"25665536\"]\n  39 [size=\"17935360\", alpha=\"0.08\", expect_size=\"7174144\"] \n  40 [size=\"128965120\", alpha=\"0.09\", expect_size=\"51586048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85309440\", alpha=\"0.02\", expect_size=\"34123776\"] \n  1 -> 2 [size =\"34123776\"]\n  2 [size=\"61391360\", alpha=\"0.07\", expect_size=\"24556544\"] \n  2 -> 3 [size =\"24556544\"]\n  3 [size=\"74447360\", alpha=\"0.19\", expect_size=\"29778944\"] \n  3 -> 4 [size =\"29778944\"]\n  4 [size=\"70955520\", alpha=\"0.10\", expect_size=\"28382208\"] \n  4 -> 5 [size =\"28382208\"]\n  5 [size=\"51980800\", alpha=\"0.07\", expect_size=\"20792320\"] \n  5 -> 6 [size =\"20792320\"]\n  6 [size=\"37265920\", alpha=\"0.03\", expect_size=\"14906368\"] \n  6 -> 7 [size =\"14906368\"]\n  7 [size=\"83530240\", alpha=\"0.07\", expect_size=\"33412096\"] \n  7 -> 8 [size =\"33412096\"]\n  8 [size=\"59297280\", alpha=\"0.10\", expect_size=\"23718912\"] \n  8 -> 9 [size =\"23718912\"]\n  9 [size=\"92267520\", alpha=\"0.09\", expect_size=\"36907008\"] \n  9 -> 10 [size =\"36907008\"]\n  10 [size=\"102154240\", alpha=\"0.16\", expect_size=\"40861696\"] \n  10 -> 11 [size =\"40861696\"]\n  11 [size=\"39974400\", alpha=\"0.10\", expect_size=\"15989760\"] \n  11 -> 12 [size =\"15989760\"]\n  12 [size=\"53002240\", alpha=\"0.03\", expect_size=\"21200896\"] \n  12 -> 13 [size =\"21200896\"]\n  13 [size=\"93094400\", alpha=\"0.13\", expect_size=\"37237760\"] \n  13 -> 14 [size =\"37237760\"]\n  14 [size=\"89216000\", alpha=\"0.07\", expect_size=\"35686400\"] \n  14 -> 15 [size =\"35686400\"]\n  15 [size=\"32765440\", alpha=\"0.09\", expect_size=\"13106176\"] \n  15 -> 16 [size =\"13106176\"]\n  16 [size=\"76528640\", alpha=\"0.20\", expect_size=\"30611456\"] \n  16 -> 17 [size =\"30611456\"]\n  17 [size=\"92200960\", alpha=\"0.06\", expect_size=\"36880384\"] \n  17 -> 18 [size =\"36880384\"]\n  18 [size=\"130979840\", alpha=\"0.06\", expect_size=\"52391936\"] \n  18 -> 19 [size =\"52391936\"]\n  19 [size=\"73182720\", alpha=\"0.05\", expect_size=\"29273088\"] \n  19 -> 20 [size =\"29273088\"]\n  20 [size=\"128829440\", alpha=\"0.03\", expect_size=\"51531776\"] \n  20 -> 21 [size =\"51531776\"]\n  21 [size=\"103260160\", alpha=\"0.14\", expect_size=\"41304064\"] \n  21 -> 22 [size =\"41304064\"]\n  22 [size=\"43097600\", alpha=\"0.12\", expect_size=\"17239040\"] \n  22 -> 23 [size =\"17239040\"]\n  23 [size=\"62778880\", alpha=\"0.02\", expect_size=\"25111552\"] \n  23 -> 24 [size =\"25111552\"]\n  24 [size=\"23016960\", alpha=\"0.00\", expect_size=\"9206784\"] \n  24 -> 25 [size =\"9206784\"]\n  25 [size=\"61657600\", alpha=\"0.06\", expect_size=\"24663040\"] \n  25 -> 26 [size =\"24663040\"]\n  26 [size=\"116144640\", alpha=\"0.16\", expect_size=\"46457856\"] \n  26 -> 27 [size =\"46457856\"]\n  27 [size=\"113630720\", alpha=\"0.17\", expect_size=\"45452288\"] \n  27 -> 28 [size =\"45452288\"]\n  28 [size=\"30330880\", alpha=\"0.07\", expect_size=\"12132352\"] \n  28 -> 29 [size =\"12132352\"]\n  29 [size=\"67368960\", alpha=\"0.09\", expect_size=\"26947584\"] \n  29 -> 30 [size =\"26947584\"]\n  30 [size=\"96271360\", alpha=\"0.07\", expect_size=\"38508544\"] \n  30 -> 31 [size =\"38508544\"]\n  31 [size=\"115084800\", alpha=\"0.10\", expect_size=\"46033920\"] \n  31 -> 32 [size =\"46033920\"]\n  32 [size=\"78046720\", alpha=\"0.19\", expect_size=\"31218688\"] \n  32 -> 33 [size =\"31218688\"]\n  33 [size=\"33443840\", alpha=\"0.02\", expect_size=\"13377536\"] \n  33 -> 34 [size =\"13377536\"]\n  34 [size=\"42613760\", alpha=\"0.17\", expect_size=\"17045504\"] \n  34 -> 35 [size =\"17045504\"]\n  35 [size=\"45445120\", alpha=\"0.16\", expect_size=\"18178048\"] \n  35 -> 36 [size =\"18178048\"]\n  36 [size=\"80808960\", alpha=\"0.06\", expect_size=\"32323584\"] \n  36 -> 37 [size =\"32323584\"]\n  37 [size=\"54901760\", alpha=\"0.09\", expect_size=\"21960704\"] \n  37 -> 38 [size =\"21960704\"]\n  38 [size=\"38146560\", alpha=\"0.13\", expect_size=\"15258624\"] \n  38 -> 39 [size =\"15258624\"]\n  39 [size=\"76736000\", alpha=\"0.06\", expect_size=\"30694400\"] \n  39 -> 40 [size =\"30694400\"]\n  40 [size=\"13903360\", alpha=\"0.19\", expect_size=\"5561344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53795840\", alpha=\"0.15\", expect_size=\"21518336\"] \n  1 -> 19 [size =\"21518336\"]\n  1 -> 21 [size =\"21518336\"]\n  1 -> 22 [size =\"21518336\"]\n  1 -> 28 [size =\"21518336\"]\n  1 -> 29 [size =\"21518336\"]\n  1 -> 30 [size =\"21518336\"]\n  1 -> 35 [size =\"21518336\"]\n  1 -> 36 [size =\"21518336\"]\n  2 [size=\"47649280\", alpha=\"0.20\", expect_size=\"19059712\"] \n  2 -> 18 [size =\"19059712\"]\n  2 -> 26 [size =\"19059712\"]\n  2 -> 27 [size =\"19059712\"]\n  2 -> 36 [size =\"19059712\"]\n  3 [size=\"47982080\", alpha=\"0.19\", expect_size=\"19192832\"] \n  3 -> 18 [size =\"19192832\"]\n  3 -> 21 [size =\"19192832\"]\n  3 -> 24 [size =\"19192832\"]\n  3 -> 25 [size =\"19192832\"]\n  3 -> 33 [size =\"19192832\"]\n  3 -> 36 [size =\"19192832\"]\n  4 [size=\"83502080\", alpha=\"0.14\", expect_size=\"33400832\"] \n  4 -> 17 [size =\"33400832\"]\n  4 -> 19 [size =\"33400832\"]\n  4 -> 24 [size =\"33400832\"]\n  4 -> 27 [size =\"33400832\"]\n  4 -> 30 [size =\"33400832\"]\n  4 -> 34 [size =\"33400832\"]\n  5 [size=\"16148480\", alpha=\"0.03\", expect_size=\"6459392\"] \n  5 -> 19 [size =\"6459392\"]\n  5 -> 20 [size =\"6459392\"]\n  5 -> 23 [size =\"6459392\"]\n  5 -> 24 [size =\"6459392\"]\n  6 [size=\"113553920\", alpha=\"0.14\", expect_size=\"45421568\"] \n  6 -> 19 [size =\"45421568\"]\n  6 -> 21 [size =\"45421568\"]\n  6 -> 23 [size =\"45421568\"]\n  6 -> 32 [size =\"45421568\"]\n  7 [size=\"65100800\", alpha=\"0.02\", expect_size=\"26040320\"] \n  7 -> 17 [size =\"26040320\"]\n  7 -> 21 [size =\"26040320\"]\n  7 -> 22 [size =\"26040320\"]\n  7 -> 23 [size =\"26040320\"]\n  7 -> 24 [size =\"26040320\"]\n  7 -> 31 [size =\"26040320\"]\n  7 -> 35 [size =\"26040320\"]\n  7 -> 37 [size =\"26040320\"]\n  8 [size=\"110510080\", alpha=\"0.03\", expect_size=\"44204032\"] \n  8 -> 17 [size =\"44204032\"]\n  8 -> 18 [size =\"44204032\"]\n  8 -> 20 [size =\"44204032\"]\n  8 -> 21 [size =\"44204032\"]\n  8 -> 22 [size =\"44204032\"]\n  8 -> 23 [size =\"44204032\"]\n  8 -> 26 [size =\"44204032\"]\n  8 -> 29 [size =\"44204032\"]\n  8 -> 30 [size =\"44204032\"]\n  8 -> 31 [size =\"44204032\"]\n  8 -> 35 [size =\"44204032\"]\n  8 -> 37 [size =\"44204032\"]\n  9 [size=\"104184320\", alpha=\"0.06\", expect_size=\"41673728\"] \n  9 -> 17 [size =\"41673728\"]\n  9 -> 21 [size =\"41673728\"]\n  9 -> 24 [size =\"41673728\"]\n  9 -> 30 [size =\"41673728\"]\n  9 -> 31 [size =\"41673728\"]\n  9 -> 33 [size =\"41673728\"]\n  9 -> 34 [size =\"41673728\"]\n  9 -> 35 [size =\"41673728\"]\n  9 -> 37 [size =\"41673728\"]\n  10 [size=\"14597120\", alpha=\"0.12\", expect_size=\"5838848\"] \n  10 -> 17 [size =\"5838848\"]\n  10 -> 20 [size =\"5838848\"]\n  10 -> 21 [size =\"5838848\"]\n  10 -> 22 [size =\"5838848\"]\n  10 -> 26 [size =\"5838848\"]\n  10 -> 27 [size =\"5838848\"]\n  10 -> 30 [size =\"5838848\"]\n  10 -> 31 [size =\"5838848\"]\n  10 -> 34 [size =\"5838848\"]\n  11 [size=\"24819200\", alpha=\"0.15\", expect_size=\"9927680\"] \n  11 -> 17 [size =\"9927680\"]\n  11 -> 19 [size =\"9927680\"]\n  11 -> 22 [size =\"9927680\"]\n  11 -> 23 [size =\"9927680\"]\n  11 -> 33 [size =\"9927680\"]\n  11 -> 35 [size =\"9927680\"]\n  11 -> 37 [size =\"9927680\"]\n  12 [size=\"112317440\", alpha=\"0.14\", expect_size=\"44926976\"] \n  12 -> 19 [size =\"44926976\"]\n  12 -> 35 [size =\"44926976\"]\n  13 [size=\"111736320\", alpha=\"0.12\", expect_size=\"44694528\"] \n  13 -> 19 [size =\"44694528\"]\n  13 -> 22 [size =\"44694528\"]\n  13 -> 24 [size =\"44694528\"]\n  13 -> 32 [size =\"44694528\"]\n  14 [size=\"106483200\", alpha=\"0.04\", expect_size=\"42593280\"] \n  14 -> 17 [size =\"42593280\"]\n  14 -> 20 [size =\"42593280\"]\n  14 -> 22 [size =\"42593280\"]\n  14 -> 25 [size =\"42593280\"]\n  14 -> 26 [size =\"42593280\"]\n  14 -> 31 [size =\"42593280\"]\n  15 [size=\"71782400\", alpha=\"0.07\", expect_size=\"28712960\"] \n  15 -> 17 [size =\"28712960\"]\n  15 -> 27 [size =\"28712960\"]\n  16 [size=\"89236480\", alpha=\"0.07\", expect_size=\"35694592\"] \n  16 -> 18 [size =\"35694592\"]\n  16 -> 20 [size =\"35694592\"]\n  16 -> 23 [size =\"35694592\"]\n  16 -> 24 [size =\"35694592\"]\n  16 -> 26 [size =\"35694592\"]\n  16 -> 30 [size =\"35694592\"]\n  16 -> 32 [size =\"35694592\"]\n  16 -> 33 [size =\"35694592\"]\n  16 -> 34 [size =\"35694592\"]\n  16 -> 35 [size =\"35694592\"]\n  17 [size=\"52672000\", alpha=\"0.15\", expect_size=\"21068800\"] \n  17 -> 38 [size =\"21068800\"]\n  17 -> 40 [size =\"21068800\"]\n  18 [size=\"62284800\", alpha=\"0.01\", expect_size=\"24913920\"] \n  18 -> 40 [size =\"24913920\"]\n  19 [size=\"82314240\", alpha=\"0.01\", expect_size=\"32925696\"] \n  20 [size=\"118937600\", alpha=\"0.03\", expect_size=\"47575040\"] \n  20 -> 38 [size =\"47575040\"]\n  20 -> 39 [size =\"47575040\"]\n  20 -> 40 [size =\"47575040\"]\n  21 [size=\"74170880\", alpha=\"0.12\", expect_size=\"29668352\"] \n  22 [size=\"46717440\", alpha=\"0.07\", expect_size=\"18686976\"] \n  22 -> 38 [size =\"18686976\"]\n  22 -> 39 [size =\"18686976\"]\n  23 [size=\"129927680\", alpha=\"0.08\", expect_size=\"51971072\"] \n  23 -> 39 [size =\"51971072\"]\n  23 -> 40 [size =\"51971072\"]\n  24 [size=\"84833280\", alpha=\"0.00\", expect_size=\"33933312\"] \n  25 [size=\"107171840\", alpha=\"0.13\", expect_size=\"42868736\"] \n  25 -> 40 [size =\"42868736\"]\n  26 [size=\"32819200\", alpha=\"0.04\", expect_size=\"13127680\"] \n  26 -> 40 [size =\"13127680\"]\n  27 [size=\"75243520\", alpha=\"0.03\", expect_size=\"30097408\"] \n  28 [size=\"43676160\", alpha=\"0.18\", expect_size=\"17470464\"] \n  28 -> 38 [size =\"17470464\"]\n  29 [size=\"51996160\", alpha=\"0.09\", expect_size=\"20798464\"] \n  30 [size=\"57940480\", alpha=\"0.00\", expect_size=\"23176192\"] \n  31 [size=\"75957760\", alpha=\"0.13\", expect_size=\"30383104\"] \n  31 -> 40 [size =\"30383104\"]\n  32 [size=\"28769280\", alpha=\"0.03\", expect_size=\"11507712\"] \n  33 [size=\"68887040\", alpha=\"0.10\", expect_size=\"27554816\"] \n  34 [size=\"113218560\", alpha=\"0.13\", expect_size=\"45287424\"] \n  34 -> 40 [size =\"45287424\"]\n  35 [size=\"114193920\", alpha=\"0.05\", expect_size=\"45677568\"] \n  35 -> 40 [size =\"45677568\"]\n  36 [size=\"74859520\", alpha=\"0.11\", expect_size=\"29943808\"] \n  37 [size=\"95664640\", alpha=\"0.03\", expect_size=\"38265856\"] \n  38 [size=\"110635520\", alpha=\"0.03\", expect_size=\"44254208\"] \n  39 [size=\"99212800\", alpha=\"0.16\", expect_size=\"39685120\"] \n  40 [size=\"34511360\", alpha=\"0.06\", expect_size=\"13804544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129651200\", alpha=\"0.14\", expect_size=\"51860480\"] \n  1 -> 21 [size =\"51860480\"]\n  1 -> 22 [size =\"51860480\"]\n  1 -> 30 [size =\"51860480\"]\n  2 [size=\"74263040\", alpha=\"0.12\", expect_size=\"29705216\"] \n  2 -> 21 [size =\"29705216\"]\n  2 -> 29 [size =\"29705216\"]\n  2 -> 30 [size =\"29705216\"]\n  3 [size=\"127472640\", alpha=\"0.06\", expect_size=\"50989056\"] \n  3 -> 19 [size =\"50989056\"]\n  3 -> 21 [size =\"50989056\"]\n  3 -> 24 [size =\"50989056\"]\n  3 -> 26 [size =\"50989056\"]\n  3 -> 27 [size =\"50989056\"]\n  3 -> 31 [size =\"50989056\"]\n  4 [size=\"60884480\", alpha=\"0.04\", expect_size=\"24353792\"] \n  4 -> 18 [size =\"24353792\"]\n  4 -> 24 [size =\"24353792\"]\n  4 -> 27 [size =\"24353792\"]\n  5 [size=\"66447360\", alpha=\"0.04\", expect_size=\"26578944\"] \n  5 -> 20 [size =\"26578944\"]\n  5 -> 24 [size =\"26578944\"]\n  5 -> 25 [size =\"26578944\"]\n  5 -> 28 [size =\"26578944\"]\n  5 -> 29 [size =\"26578944\"]\n  6 [size=\"101217280\", alpha=\"0.07\", expect_size=\"40486912\"] \n  6 -> 18 [size =\"40486912\"]\n  6 -> 20 [size =\"40486912\"]\n  6 -> 25 [size =\"40486912\"]\n  6 -> 26 [size =\"40486912\"]\n  6 -> 28 [size =\"40486912\"]\n  6 -> 29 [size =\"40486912\"]\n  6 -> 30 [size =\"40486912\"]\n  7 [size=\"79216640\", alpha=\"0.17\", expect_size=\"31686656\"] \n  7 -> 18 [size =\"31686656\"]\n  7 -> 24 [size =\"31686656\"]\n  7 -> 25 [size =\"31686656\"]\n  7 -> 29 [size =\"31686656\"]\n  7 -> 31 [size =\"31686656\"]\n  8 [size=\"48353280\", alpha=\"0.12\", expect_size=\"19341312\"] \n  8 -> 18 [size =\"19341312\"]\n  8 -> 21 [size =\"19341312\"]\n  8 -> 30 [size =\"19341312\"]\n  8 -> 31 [size =\"19341312\"]\n  9 [size=\"93345280\", alpha=\"0.19\", expect_size=\"37338112\"] \n  9 -> 18 [size =\"37338112\"]\n  9 -> 22 [size =\"37338112\"]\n  9 -> 27 [size =\"37338112\"]\n  9 -> 31 [size =\"37338112\"]\n  10 [size=\"103421440\", alpha=\"0.12\", expect_size=\"41368576\"] \n  10 -> 20 [size =\"41368576\"]\n  10 -> 21 [size =\"41368576\"]\n  10 -> 22 [size =\"41368576\"]\n  10 -> 25 [size =\"41368576\"]\n  10 -> 26 [size =\"41368576\"]\n  10 -> 27 [size =\"41368576\"]\n  11 [size=\"126594560\", alpha=\"0.02\", expect_size=\"50637824\"] \n  11 -> 19 [size =\"50637824\"]\n  11 -> 22 [size =\"50637824\"]\n  11 -> 27 [size =\"50637824\"]\n  11 -> 30 [size =\"50637824\"]\n  12 [size=\"89876480\", alpha=\"0.13\", expect_size=\"35950592\"] \n  12 -> 18 [size =\"35950592\"]\n  12 -> 22 [size =\"35950592\"]\n  12 -> 24 [size =\"35950592\"]\n  12 -> 31 [size =\"35950592\"]\n  13 [size=\"44149760\", alpha=\"0.02\", expect_size=\"17659904\"] \n  13 -> 22 [size =\"17659904\"]\n  13 -> 25 [size =\"17659904\"]\n  13 -> 27 [size =\"17659904\"]\n  13 -> 29 [size =\"17659904\"]\n  13 -> 31 [size =\"17659904\"]\n  14 [size=\"77972480\", alpha=\"0.15\", expect_size=\"31188992\"] \n  14 -> 18 [size =\"31188992\"]\n  14 -> 20 [size =\"31188992\"]\n  14 -> 21 [size =\"31188992\"]\n  14 -> 29 [size =\"31188992\"]\n  14 -> 30 [size =\"31188992\"]\n  14 -> 31 [size =\"31188992\"]\n  15 [size=\"101299200\", alpha=\"0.06\", expect_size=\"40519680\"] \n  15 -> 21 [size =\"40519680\"]\n  15 -> 22 [size =\"40519680\"]\n  15 -> 30 [size =\"40519680\"]\n  15 -> 31 [size =\"40519680\"]\n  16 [size=\"123315200\", alpha=\"0.03\", expect_size=\"49326080\"] \n  16 -> 20 [size =\"49326080\"]\n  16 -> 21 [size =\"49326080\"]\n  16 -> 23 [size =\"49326080\"]\n  16 -> 25 [size =\"49326080\"]\n  16 -> 27 [size =\"49326080\"]\n  16 -> 31 [size =\"49326080\"]\n  17 [size=\"46233600\", alpha=\"0.18\", expect_size=\"18493440\"] \n  17 -> 18 [size =\"18493440\"]\n  17 -> 19 [size =\"18493440\"]\n  17 -> 20 [size =\"18493440\"]\n  17 -> 21 [size =\"18493440\"]\n  17 -> 22 [size =\"18493440\"]\n  17 -> 25 [size =\"18493440\"]\n  17 -> 29 [size =\"18493440\"]\n  17 -> 30 [size =\"18493440\"]\n  18 [size=\"27048960\", alpha=\"0.04\", expect_size=\"10819584\"] \n  18 -> 36 [size =\"10819584\"]\n  18 -> 37 [size =\"10819584\"]\n  19 [size=\"98421760\", alpha=\"0.18\", expect_size=\"39368704\"] \n  19 -> 32 [size =\"39368704\"]\n  19 -> 34 [size =\"39368704\"]\n  19 -> 36 [size =\"39368704\"]\n  19 -> 37 [size =\"39368704\"]\n  19 -> 38 [size =\"39368704\"]\n  20 [size=\"93255680\", alpha=\"0.08\", expect_size=\"37302272\"] \n  20 -> 37 [size =\"37302272\"]\n  21 [size=\"45486080\", alpha=\"0.18\", expect_size=\"18194432\"] \n  22 [size=\"58798080\", alpha=\"0.19\", expect_size=\"23519232\"] \n  22 -> 33 [size =\"23519232\"]\n  22 -> 35 [size =\"23519232\"]\n  22 -> 40 [size =\"23519232\"]\n  23 [size=\"16852480\", alpha=\"0.19\", expect_size=\"6740992\"] \n  23 -> 33 [size =\"6740992\"]\n  23 -> 34 [size =\"6740992\"]\n  23 -> 36 [size =\"6740992\"]\n  23 -> 38 [size =\"6740992\"]\n  23 -> 40 [size =\"6740992\"]\n  24 [size=\"26237440\", alpha=\"0.07\", expect_size=\"10494976\"] \n  24 -> 33 [size =\"10494976\"]\n  24 -> 36 [size =\"10494976\"]\n  25 [size=\"115804160\", alpha=\"0.04\", expect_size=\"46321664\"] \n  25 -> 33 [size =\"46321664\"]\n  26 [size=\"34176000\", alpha=\"0.16\", expect_size=\"13670400\"] \n  26 -> 38 [size =\"13670400\"]\n  26 -> 40 [size =\"13670400\"]\n  27 [size=\"49254400\", alpha=\"0.19\", expect_size=\"19701760\"] \n  27 -> 37 [size =\"19701760\"]\n  27 -> 40 [size =\"19701760\"]\n  28 [size=\"39055360\", alpha=\"0.08\", expect_size=\"15622144\"] \n  28 -> 37 [size =\"15622144\"]\n  28 -> 38 [size =\"15622144\"]\n  28 -> 40 [size =\"15622144\"]\n  29 [size=\"64896000\", alpha=\"0.11\", expect_size=\"25958400\"] \n  29 -> 34 [size =\"25958400\"]\n  29 -> 36 [size =\"25958400\"]\n  29 -> 37 [size =\"25958400\"]\n  29 -> 38 [size =\"25958400\"]\n  30 [size=\"52456960\", alpha=\"0.09\", expect_size=\"20982784\"] \n  30 -> 36 [size =\"20982784\"]\n  30 -> 37 [size =\"20982784\"]\n  30 -> 39 [size =\"20982784\"]\n  31 [size=\"101002240\", alpha=\"0.06\", expect_size=\"40400896\"] \n  31 -> 36 [size =\"40400896\"]\n  31 -> 37 [size =\"40400896\"]\n  31 -> 39 [size =\"40400896\"]\n  32 [size=\"91143680\", alpha=\"0.16\", expect_size=\"36457472\"] \n  33 [size=\"84039680\", alpha=\"0.12\", expect_size=\"33615872\"] \n  34 [size=\"76088320\", alpha=\"0.18\", expect_size=\"30435328\"] \n  35 [size=\"115072000\", alpha=\"0.20\", expect_size=\"46028800\"] \n  36 [size=\"18398720\", alpha=\"0.20\", expect_size=\"7359488\"] \n  37 [size=\"110113280\", alpha=\"0.06\", expect_size=\"44045312\"] \n  38 [size=\"102428160\", alpha=\"0.14\", expect_size=\"40971264\"] \n  39 [size=\"30592000\", alpha=\"0.17\", expect_size=\"12236800\"] \n  40 [size=\"92810240\", alpha=\"0.13\", expect_size=\"37124096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11964416\", alpha=\"0.00\", expect_size=\"5982208\"] \n  1 -> 12 [size =\"5982208\"]\n  1 -> 13 [size =\"5982208\"]\n  2 [size=\"49584128\", alpha=\"0.15\", expect_size=\"24792064\"] \n  2 -> 7 [size =\"24792064\"]\n  2 -> 8 [size =\"24792064\"]\n  2 -> 10 [size =\"24792064\"]\n  2 -> 13 [size =\"24792064\"]\n  3 [size=\"83365888\", alpha=\"0.12\", expect_size=\"41682944\"] \n  3 -> 6 [size =\"41682944\"]\n  3 -> 7 [size =\"41682944\"]\n  3 -> 8 [size =\"41682944\"]\n  3 -> 9 [size =\"41682944\"]\n  3 -> 11 [size =\"41682944\"]\n  4 [size=\"36687872\", alpha=\"0.19\", expect_size=\"18343936\"] \n  4 -> 11 [size =\"18343936\"]\n  5 [size=\"61534208\", alpha=\"0.06\", expect_size=\"30767104\"] \n  5 -> 6 [size =\"30767104\"]\n  6 [size=\"58628096\", alpha=\"0.03\", expect_size=\"29314048\"] \n  6 -> 14 [size =\"29314048\"]\n  6 -> 17 [size =\"29314048\"]\n  7 [size=\"54958080\", alpha=\"0.13\", expect_size=\"27479040\"] \n  7 -> 19 [size =\"27479040\"]\n  7 -> 20 [size =\"27479040\"]\n  8 [size=\"35432448\", alpha=\"0.02\", expect_size=\"17716224\"] \n  8 -> 16 [size =\"17716224\"]\n  8 -> 17 [size =\"17716224\"]\n  8 -> 19 [size =\"17716224\"]\n  8 -> 21 [size =\"17716224\"]\n  9 [size=\"26845184\", alpha=\"0.10\", expect_size=\"13422592\"] \n  9 -> 18 [size =\"13422592\"]\n  10 [size=\"58365952\", alpha=\"0.16\", expect_size=\"29182976\"] \n  10 -> 14 [size =\"29182976\"]\n  10 -> 15 [size =\"29182976\"]\n  10 -> 17 [size =\"29182976\"]\n  10 -> 18 [size =\"29182976\"]\n  10 -> 19 [size =\"29182976\"]\n  11 [size=\"73523200\", alpha=\"0.04\", expect_size=\"36761600\"] \n  11 -> 14 [size =\"36761600\"]\n  11 -> 15 [size =\"36761600\"]\n  11 -> 18 [size =\"36761600\"]\n  11 -> 19 [size =\"36761600\"]\n  12 [size=\"74889216\", alpha=\"0.10\", expect_size=\"37444608\"] \n  12 -> 14 [size =\"37444608\"]\n  13 [size=\"49057792\", alpha=\"0.17\", expect_size=\"24528896\"] \n  14 [size=\"11483136\", alpha=\"0.11\", expect_size=\"5741568\"] \n  14 -> 22 [size =\"5741568\"]\n  14 -> 25 [size =\"5741568\"]\n  15 [size=\"101470208\", alpha=\"0.08\", expect_size=\"50735104\"] \n  15 -> 23 [size =\"50735104\"]\n  16 [size=\"34514944\", alpha=\"0.18\", expect_size=\"17257472\"] \n  16 -> 24 [size =\"17257472\"]\n  17 [size=\"47828992\", alpha=\"0.06\", expect_size=\"23914496\"] \n  17 -> 22 [size =\"23914496\"]\n  17 -> 23 [size =\"23914496\"]\n  17 -> 24 [size =\"23914496\"]\n  18 [size=\"12859392\", alpha=\"0.15\", expect_size=\"6429696\"] \n  18 -> 22 [size =\"6429696\"]\n  18 -> 25 [size =\"6429696\"]\n  19 [size=\"21164032\", alpha=\"0.04\", expect_size=\"10582016\"] \n  19 -> 22 [size =\"10582016\"]\n  19 -> 26 [size =\"10582016\"]\n  20 [size=\"66498560\", alpha=\"0.16\", expect_size=\"33249280\"] \n  21 [size=\"47777792\", alpha=\"0.08\", expect_size=\"23888896\"] \n  21 -> 24 [size =\"23888896\"]\n  22 [size=\"65529856\", alpha=\"0.09\", expect_size=\"32764928\"] \n  22 -> 27 [size =\"32764928\"]\n  23 [size=\"16787456\", alpha=\"0.05\", expect_size=\"8393728\"] \n  23 -> 30 [size =\"8393728\"]\n  24 [size=\"97796096\", alpha=\"0.06\", expect_size=\"48898048\"] \n  24 -> 29 [size =\"48898048\"]\n  24 -> 30 [size =\"48898048\"]\n  25 [size=\"57044992\", alpha=\"0.19\", expect_size=\"28522496\"] \n  25 -> 27 [size =\"28522496\"]\n  25 -> 29 [size =\"28522496\"]\n  26 [size=\"93323264\", alpha=\"0.01\", expect_size=\"46661632\"] \n  26 -> 28 [size =\"46661632\"]\n  26 -> 30 [size =\"46661632\"]\n  26 -> 31 [size =\"46661632\"]\n  27 [size=\"84983808\", alpha=\"0.13\", expect_size=\"42491904\"] \n  27 -> 32 [size =\"42491904\"]\n  27 -> 34 [size =\"42491904\"]\n  28 [size=\"19720192\", alpha=\"0.11\", expect_size=\"9860096\"] \n  28 -> 34 [size =\"9860096\"]\n  29 [size=\"91310080\", alpha=\"0.12\", expect_size=\"45655040\"] \n  29 -> 33 [size =\"45655040\"]\n  29 -> 35 [size =\"45655040\"]\n  30 [size=\"14583808\", alpha=\"0.02\", expect_size=\"7291904\"] \n  30 -> 32 [size =\"7291904\"]\n  31 [size=\"88848384\", alpha=\"0.07\", expect_size=\"44424192\"] \n  31 -> 32 [size =\"44424192\"]\n  31 -> 34 [size =\"44424192\"]\n  32 [size=\"32466944\", alpha=\"0.05\", expect_size=\"16233472\"] \n  32 -> 36 [size =\"16233472\"]\n  32 -> 38 [size =\"16233472\"]\n  33 [size=\"73281536\", alpha=\"0.11\", expect_size=\"36640768\"] \n  34 [size=\"95432704\", alpha=\"0.17\", expect_size=\"47716352\"] \n  34 -> 37 [size =\"47716352\"]\n  35 [size=\"30748672\", alpha=\"0.03\", expect_size=\"15374336\"] \n  35 -> 37 [size =\"15374336\"]\n  35 -> 39 [size =\"15374336\"]\n  36 [size=\"24651776\", alpha=\"0.14\", expect_size=\"12325888\"] \n  37 [size=\"30912512\", alpha=\"0.12\", expect_size=\"15456256\"] \n  38 [size=\"94007296\", alpha=\"0.11\", expect_size=\"47003648\"] \n  38 -> 40 [size =\"47003648\"]\n  39 [size=\"50135040\", alpha=\"0.13\", expect_size=\"25067520\"] \n  40 [size=\"104404992\", alpha=\"0.06\", expect_size=\"52202496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163723947\", alpha=\"0.05\", expect_size=\"49117184\"] \n  1 -> 2 [size =\"49117184\"]\n  2 [size=\"39256747\", alpha=\"0.19\", expect_size=\"11777024\"] \n  2 -> 3 [size =\"11777024\"]\n  3 [size=\"97880747\", alpha=\"0.03\", expect_size=\"29364224\"] \n  3 -> 4 [size =\"29364224\"]\n  4 [size=\"119125333\", alpha=\"0.03\", expect_size=\"35737600\"] \n  4 -> 5 [size =\"35737600\"]\n  5 [size=\"146029227\", alpha=\"0.15\", expect_size=\"43808768\"] \n  5 -> 6 [size =\"43808768\"]\n  6 [size=\"29747200\", alpha=\"0.15\", expect_size=\"8924160\"] \n  6 -> 7 [size =\"8924160\"]\n  7 [size=\"120108373\", alpha=\"0.07\", expect_size=\"36032512\"] \n  7 -> 8 [size =\"36032512\"]\n  8 [size=\"120371200\", alpha=\"0.08\", expect_size=\"36111360\"] \n  8 -> 9 [size =\"36111360\"]\n  9 [size=\"168205653\", alpha=\"0.17\", expect_size=\"50461696\"] \n  9 -> 10 [size =\"50461696\"]\n  10 [size=\"158033920\", alpha=\"0.08\", expect_size=\"47410176\"] \n  10 -> 11 [size =\"47410176\"]\n  11 [size=\"25866240\", alpha=\"0.08\", expect_size=\"7759872\"] \n  11 -> 12 [size =\"7759872\"]\n  12 [size=\"68539733\", alpha=\"0.04\", expect_size=\"20561920\"] \n  12 -> 13 [size =\"20561920\"]\n  13 [size=\"61235200\", alpha=\"0.09\", expect_size=\"18370560\"] \n  13 -> 14 [size =\"18370560\"]\n  14 [size=\"88005973\", alpha=\"0.06\", expect_size=\"26401792\"] \n  14 -> 15 [size =\"26401792\"]\n  15 [size=\"113667413\", alpha=\"0.17\", expect_size=\"34100224\"] \n  15 -> 16 [size =\"34100224\"]\n  16 [size=\"73492480\", alpha=\"0.03\", expect_size=\"22047744\"] \n  16 -> 17 [size =\"22047744\"]\n  17 [size=\"37505707\", alpha=\"0.16\", expect_size=\"11251712\"] \n  17 -> 18 [size =\"11251712\"]\n  18 [size=\"93706240\", alpha=\"0.18\", expect_size=\"28111872\"] \n  18 -> 19 [size =\"28111872\"]\n  19 [size=\"157982720\", alpha=\"0.01\", expect_size=\"47394816\"] \n  19 -> 20 [size =\"47394816\"]\n  20 [size=\"133771947\", alpha=\"0.20\", expect_size=\"40131584\"] \n  20 -> 21 [size =\"40131584\"]\n  21 [size=\"40243200\", alpha=\"0.17\", expect_size=\"12072960\"] \n  21 -> 22 [size =\"12072960\"]\n  22 [size=\"106151253\", alpha=\"0.17\", expect_size=\"31845376\"] \n  22 -> 23 [size =\"31845376\"]\n  23 [size=\"140175360\", alpha=\"0.07\", expect_size=\"42052608\"] \n  23 -> 24 [size =\"42052608\"]\n  24 [size=\"49902933\", alpha=\"0.10\", expect_size=\"14970880\"] \n  24 -> 25 [size =\"14970880\"]\n  25 [size=\"93917867\", alpha=\"0.10\", expect_size=\"28175360\"] \n  25 -> 26 [size =\"28175360\"]\n  26 [size=\"66519040\", alpha=\"0.11\", expect_size=\"19955712\"] \n  26 -> 27 [size =\"19955712\"]\n  27 [size=\"88057173\", alpha=\"0.05\", expect_size=\"26417152\"] \n  27 -> 28 [size =\"26417152\"]\n  28 [size=\"58170027\", alpha=\"0.12\", expect_size=\"17451008\"] \n  28 -> 29 [size =\"17451008\"]\n  29 [size=\"43004587\", alpha=\"0.19\", expect_size=\"12901376\"] \n  29 -> 30 [size =\"12901376\"]\n  30 [size=\"50285227\", alpha=\"0.03\", expect_size=\"15085568\"] \n  30 -> 31 [size =\"15085568\"]\n  31 [size=\"47015253\", alpha=\"0.08\", expect_size=\"14104576\"] \n  31 -> 32 [size =\"14104576\"]\n  32 [size=\"22159360\", alpha=\"0.00\", expect_size=\"6647808\"] \n  32 -> 33 [size =\"6647808\"]\n  33 [size=\"154784427\", alpha=\"0.17\", expect_size=\"46435328\"] \n  33 -> 34 [size =\"46435328\"]\n  34 [size=\"53442560\", alpha=\"0.04\", expect_size=\"16032768\"] \n  34 -> 35 [size =\"16032768\"]\n  35 [size=\"134355627\", alpha=\"0.02\", expect_size=\"40306688\"] \n  35 -> 36 [size =\"40306688\"]\n  36 [size=\"54217387\", alpha=\"0.08\", expect_size=\"16265216\"] \n  36 -> 37 [size =\"16265216\"]\n  37 [size=\"139874987\", alpha=\"0.16\", expect_size=\"41962496\"] \n  37 -> 38 [size =\"41962496\"]\n  38 [size=\"22101333\", alpha=\"0.14\", expect_size=\"6630400\"] \n  38 -> 39 [size =\"6630400\"]\n  39 [size=\"118364160\", alpha=\"0.10\", expect_size=\"35509248\"] \n  39 -> 40 [size =\"35509248\"]\n  40 [size=\"107533653\", alpha=\"0.01\", expect_size=\"32260096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80967680\", alpha=\"0.15\", expect_size=\"24290304\"] \n  1 -> 27 [size =\"24290304\"]\n  1 -> 33 [size =\"24290304\"]\n  1 -> 34 [size =\"24290304\"]\n  1 -> 35 [size =\"24290304\"]\n  1 -> 36 [size =\"24290304\"]\n  2 [size=\"106806613\", alpha=\"0.14\", expect_size=\"32041984\"] \n  2 -> 26 [size =\"32041984\"]\n  2 -> 38 [size =\"32041984\"]\n  2 -> 39 [size =\"32041984\"]\n  2 -> 40 [size =\"32041984\"]\n  3 [size=\"147933867\", alpha=\"0.09\", expect_size=\"44380160\"] \n  3 -> 31 [size =\"44380160\"]\n  3 -> 38 [size =\"44380160\"]\n  3 -> 39 [size =\"44380160\"]\n  4 [size=\"84858880\", alpha=\"0.08\", expect_size=\"25457664\"] \n  4 -> 26 [size =\"25457664\"]\n  4 -> 28 [size =\"25457664\"]\n  4 -> 31 [size =\"25457664\"]\n  4 -> 32 [size =\"25457664\"]\n  5 [size=\"120832000\", alpha=\"0.15\", expect_size=\"36249600\"] \n  5 -> 32 [size =\"36249600\"]\n  5 -> 34 [size =\"36249600\"]\n  6 [size=\"54480213\", alpha=\"0.19\", expect_size=\"16344064\"] \n  6 -> 27 [size =\"16344064\"]\n  6 -> 28 [size =\"16344064\"]\n  6 -> 30 [size =\"16344064\"]\n  7 [size=\"115927040\", alpha=\"0.02\", expect_size=\"34778112\"] \n  7 -> 28 [size =\"34778112\"]\n  7 -> 28 [size =\"34778112\"]\n  7 -> 36 [size =\"34778112\"]\n  7 -> 40 [size =\"34778112\"]\n  8 [size=\"66205013\", alpha=\"0.04\", expect_size=\"19861504\"] \n  8 -> 26 [size =\"19861504\"]\n  8 -> 27 [size =\"19861504\"]\n  8 -> 28 [size =\"19861504\"]\n  8 -> 29 [size =\"19861504\"]\n  8 -> 30 [size =\"19861504\"]\n  8 -> 36 [size =\"19861504\"]\n  8 -> 38 [size =\"19861504\"]\n  8 -> 39 [size =\"19861504\"]\n  9 [size=\"163717120\", alpha=\"0.11\", expect_size=\"49115136\"] \n  9 -> 27 [size =\"49115136\"]\n  9 -> 29 [size =\"49115136\"]\n  9 -> 32 [size =\"49115136\"]\n  9 -> 33 [size =\"49115136\"]\n  9 -> 39 [size =\"49115136\"]\n  9 -> 40 [size =\"49115136\"]\n  10 [size=\"126713173\", alpha=\"0.16\", expect_size=\"38013952\"] \n  10 -> 31 [size =\"38013952\"]\n  10 -> 39 [size =\"38013952\"]\n  11 [size=\"93358080\", alpha=\"0.11\", expect_size=\"28007424\"] \n  11 -> 26 [size =\"28007424\"]\n  11 -> 28 [size =\"28007424\"]\n  11 -> 32 [size =\"28007424\"]\n  11 -> 33 [size =\"28007424\"]\n  11 -> 38 [size =\"28007424\"]\n  11 -> 39 [size =\"28007424\"]\n  12 [size=\"54060373\", alpha=\"0.01\", expect_size=\"16218112\"] \n  12 -> 26 [size =\"16218112\"]\n  12 -> 28 [size =\"16218112\"]\n  12 -> 31 [size =\"16218112\"]\n  12 -> 32 [size =\"16218112\"]\n  12 -> 36 [size =\"16218112\"]\n  12 -> 39 [size =\"16218112\"]\n  13 [size=\"165307733\", alpha=\"0.07\", expect_size=\"49592320\"] \n  13 -> 27 [size =\"49592320\"]\n  13 -> 28 [size =\"49592320\"]\n  13 -> 30 [size =\"49592320\"]\n  13 -> 31 [size =\"49592320\"]\n  13 -> 32 [size =\"49592320\"]\n  13 -> 34 [size =\"49592320\"]\n  13 -> 36 [size =\"49592320\"]\n  13 -> 37 [size =\"49592320\"]\n  13 -> 39 [size =\"49592320\"]\n  14 [size=\"81612800\", alpha=\"0.17\", expect_size=\"24483840\"] \n  14 -> 26 [size =\"24483840\"]\n  14 -> 28 [size =\"24483840\"]\n  14 -> 33 [size =\"24483840\"]\n  14 -> 36 [size =\"24483840\"]\n  14 -> 38 [size =\"24483840\"]\n  15 [size=\"141509973\", alpha=\"0.12\", expect_size=\"42452992\"] \n  15 -> 26 [size =\"42452992\"]\n  15 -> 28 [size =\"42452992\"]\n  15 -> 29 [size =\"42452992\"]\n  15 -> 31 [size =\"42452992\"]\n  15 -> 32 [size =\"42452992\"]\n  15 -> 33 [size =\"42452992\"]\n  15 -> 36 [size =\"42452992\"]\n  15 -> 38 [size =\"42452992\"]\n  16 [size=\"105062400\", alpha=\"0.03\", expect_size=\"31518720\"] \n  16 -> 26 [size =\"31518720\"]\n  16 -> 27 [size =\"31518720\"]\n  16 -> 28 [size =\"31518720\"]\n  16 -> 30 [size =\"31518720\"]\n  16 -> 31 [size =\"31518720\"]\n  16 -> 33 [size =\"31518720\"]\n  16 -> 38 [size =\"31518720\"]\n  16 -> 39 [size =\"31518720\"]\n  17 [size=\"98624853\", alpha=\"0.18\", expect_size=\"29587456\"] \n  17 -> 27 [size =\"29587456\"]\n  17 -> 28 [size =\"29587456\"]\n  17 -> 29 [size =\"29587456\"]\n  17 -> 31 [size =\"29587456\"]\n  17 -> 38 [size =\"29587456\"]\n  17 -> 39 [size =\"29587456\"]\n  18 [size=\"112407893\", alpha=\"0.12\", expect_size=\"33722368\"] \n  18 -> 26 [size =\"33722368\"]\n  18 -> 27 [size =\"33722368\"]\n  18 -> 28 [size =\"33722368\"]\n  18 -> 31 [size =\"33722368\"]\n  18 -> 34 [size =\"33722368\"]\n  18 -> 36 [size =\"33722368\"]\n  19 [size=\"145722027\", alpha=\"0.11\", expect_size=\"43716608\"] \n  19 -> 26 [size =\"43716608\"]\n  19 -> 27 [size =\"43716608\"]\n  19 -> 28 [size =\"43716608\"]\n  19 -> 31 [size =\"43716608\"]\n  19 -> 36 [size =\"43716608\"]\n  19 -> 36 [size =\"43716608\"]\n  19 -> 38 [size =\"43716608\"]\n  20 [size=\"72246613\", alpha=\"0.06\", expect_size=\"21673984\"] \n  20 -> 27 [size =\"21673984\"]\n  20 -> 27 [size =\"21673984\"]\n  20 -> 28 [size =\"21673984\"]\n  20 -> 29 [size =\"21673984\"]\n  20 -> 31 [size =\"21673984\"]\n  20 -> 33 [size =\"21673984\"]\n  20 -> 36 [size =\"21673984\"]\n  20 -> 38 [size =\"21673984\"]\n  21 [size=\"41642667\", alpha=\"0.08\", expect_size=\"12492800\"] \n  21 -> 27 [size =\"12492800\"]\n  21 -> 28 [size =\"12492800\"]\n  21 -> 29 [size =\"12492800\"]\n  21 -> 30 [size =\"12492800\"]\n  21 -> 31 [size =\"12492800\"]\n  21 -> 36 [size =\"12492800\"]\n  21 -> 36 [size =\"12492800\"]\n  21 -> 38 [size =\"12492800\"]\n  22 [size=\"131454293\", alpha=\"0.02\", expect_size=\"39436288\"] \n  22 -> 27 [size =\"39436288\"]\n  22 -> 31 [size =\"39436288\"]\n  22 -> 36 [size =\"39436288\"]\n  22 -> 39 [size =\"39436288\"]\n  23 [size=\"136195413\", alpha=\"0.12\", expect_size=\"40858624\"] \n  23 -> 26 [size =\"40858624\"]\n  23 -> 30 [size =\"40858624\"]\n  23 -> 31 [size =\"40858624\"]\n  23 -> 33 [size =\"40858624\"]\n  23 -> 34 [size =\"40858624\"]\n  23 -> 36 [size =\"40858624\"]\n  23 -> 38 [size =\"40858624\"]\n  24 [size=\"31481173\", alpha=\"0.11\", expect_size=\"9444352\"] \n  24 -> 28 [size =\"9444352\"]\n  24 -> 30 [size =\"9444352\"]\n  24 -> 31 [size =\"9444352\"]\n  24 -> 33 [size =\"9444352\"]\n  24 -> 38 [size =\"9444352\"]\n  24 -> 39 [size =\"9444352\"]\n  25 [size=\"163546453\", alpha=\"0.03\", expect_size=\"49063936\"] \n  25 -> 27 [size =\"49063936\"]\n  25 -> 31 [size =\"49063936\"]\n  25 -> 36 [size =\"49063936\"]\n  25 -> 38 [size =\"49063936\"]\n  25 -> 39 [size =\"49063936\"]\n  25 -> 40 [size =\"49063936\"]\n  26 [size=\"104485547\", alpha=\"0.20\", expect_size=\"31345664\"] \n  27 [size=\"126088533\", alpha=\"0.09\", expect_size=\"37826560\"] \n  28 [size=\"111370240\", alpha=\"0.04\", expect_size=\"33411072\"] \n  29 [size=\"50599253\", alpha=\"0.18\", expect_size=\"15179776\"] \n  30 [size=\"139264000\", alpha=\"0.06\", expect_size=\"41779200\"] \n  31 [size=\"25808213\", alpha=\"0.04\", expect_size=\"7742464\"] \n  32 [size=\"88296107\", alpha=\"0.06\", expect_size=\"26488832\"] \n  33 [size=\"101492053\", alpha=\"0.07\", expect_size=\"30447616\"] \n  34 [size=\"38567253\", alpha=\"0.16\", expect_size=\"11570176\"] \n  35 [size=\"124194133\", alpha=\"0.01\", expect_size=\"37258240\"] \n  36 [size=\"147159040\", alpha=\"0.17\", expect_size=\"44147712\"] \n  37 [size=\"144465920\", alpha=\"0.04\", expect_size=\"43339776\"] \n  38 [size=\"57279147\", alpha=\"0.02\", expect_size=\"17183744\"] \n  39 [size=\"91617280\", alpha=\"0.17\", expect_size=\"27485184\"] \n  40 [size=\"79148373\", alpha=\"0.19\", expect_size=\"23744512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88240640\", alpha=\"0.08\", expect_size=\"35296256\"] \n  1 -> 4 [size =\"35296256\"]\n  1 -> 5 [size =\"35296256\"]\n  1 -> 6 [size =\"35296256\"]\n  2 [size=\"106183680\", alpha=\"0.08\", expect_size=\"42473472\"] \n  2 -> 4 [size =\"42473472\"]\n  2 -> 5 [size =\"42473472\"]\n  2 -> 6 [size =\"42473472\"]\n  3 [size=\"13166080\", alpha=\"0.14\", expect_size=\"5266432\"] \n  4 [size=\"93191680\", alpha=\"0.07\", expect_size=\"37276672\"] \n  4 -> 7 [size =\"37276672\"]\n  4 -> 8 [size =\"37276672\"]\n  5 [size=\"39984640\", alpha=\"0.09\", expect_size=\"15993856\"] \n  6 [size=\"38935040\", alpha=\"0.10\", expect_size=\"15574016\"] \n  6 -> 8 [size =\"15574016\"]\n  7 [size=\"28080640\", alpha=\"0.20\", expect_size=\"11232256\"] \n  7 -> 9 [size =\"11232256\"]\n  7 -> 10 [size =\"11232256\"]\n  8 [size=\"49781760\", alpha=\"0.19\", expect_size=\"19912704\"] \n  8 -> 9 [size =\"19912704\"]\n  8 -> 11 [size =\"19912704\"]\n  9 [size=\"106045440\", alpha=\"0.04\", expect_size=\"42418176\"] \n  9 -> 14 [size =\"42418176\"]\n  10 [size=\"83921920\", alpha=\"0.07\", expect_size=\"33568768\"] \n  10 -> 12 [size =\"33568768\"]\n  10 -> 13 [size =\"33568768\"]\n  11 [size=\"49676800\", alpha=\"0.12\", expect_size=\"19870720\"] \n  12 [size=\"97625600\", alpha=\"0.18\", expect_size=\"39050240\"] \n  12 -> 16 [size =\"39050240\"]\n  12 -> 17 [size =\"39050240\"]\n  13 [size=\"25262080\", alpha=\"0.19\", expect_size=\"10104832\"] \n  14 [size=\"105216000\", alpha=\"0.07\", expect_size=\"42086400\"] \n  14 -> 15 [size =\"42086400\"]\n  14 -> 16 [size =\"42086400\"]\n  14 -> 17 [size =\"42086400\"]\n  15 [size=\"29160960\", alpha=\"0.13\", expect_size=\"11664384\"] \n  15 -> 18 [size =\"11664384\"]\n  15 -> 19 [size =\"11664384\"]\n  16 [size=\"83965440\", alpha=\"0.13\", expect_size=\"33586176\"] \n  16 -> 19 [size =\"33586176\"]\n  17 [size=\"22343680\", alpha=\"0.04\", expect_size=\"8937472\"] \n  17 -> 18 [size =\"8937472\"]\n  18 [size=\"21414400\", alpha=\"0.12\", expect_size=\"8565760\"] \n  18 -> 20 [size =\"8565760\"]\n  18 -> 21 [size =\"8565760\"]\n  18 -> 22 [size =\"8565760\"]\n  19 [size=\"14154240\", alpha=\"0.09\", expect_size=\"5661696\"] \n  19 -> 21 [size =\"5661696\"]\n  20 [size=\"37480960\", alpha=\"0.16\", expect_size=\"14992384\"] \n  20 -> 23 [size =\"14992384\"]\n  20 -> 24 [size =\"14992384\"]\n  20 -> 25 [size =\"14992384\"]\n  21 [size=\"78348800\", alpha=\"0.16\", expect_size=\"31339520\"] \n  22 [size=\"33541120\", alpha=\"0.12\", expect_size=\"13416448\"] \n  22 -> 23 [size =\"13416448\"]\n  22 -> 24 [size =\"13416448\"]\n  23 [size=\"22039040\", alpha=\"0.08\", expect_size=\"8815616\"] \n  24 [size=\"18288640\", alpha=\"0.17\", expect_size=\"7315456\"] \n  24 -> 26 [size =\"7315456\"]\n  25 [size=\"57620480\", alpha=\"0.11\", expect_size=\"23048192\"] \n  25 -> 27 [size =\"23048192\"]\n  26 [size=\"19174400\", alpha=\"0.09\", expect_size=\"7669760\"] \n  26 -> 28 [size =\"7669760\"]\n  26 -> 29 [size =\"7669760\"]\n  27 [size=\"93696000\", alpha=\"0.10\", expect_size=\"37478400\"] \n  27 -> 28 [size =\"37478400\"]\n  27 -> 29 [size =\"37478400\"]\n  28 [size=\"118568960\", alpha=\"0.17\", expect_size=\"47427584\"] \n  28 -> 31 [size =\"47427584\"]\n  29 [size=\"70320640\", alpha=\"0.20\", expect_size=\"28128256\"] \n  29 -> 30 [size =\"28128256\"]\n  29 -> 31 [size =\"28128256\"]\n  30 [size=\"124835840\", alpha=\"0.15\", expect_size=\"49934336\"] \n  30 -> 34 [size =\"49934336\"]\n  31 [size=\"103882240\", alpha=\"0.16\", expect_size=\"41552896\"] \n  31 -> 32 [size =\"41552896\"]\n  31 -> 33 [size =\"41552896\"]\n  31 -> 34 [size =\"41552896\"]\n  32 [size=\"82598400\", alpha=\"0.11\", expect_size=\"33039360\"] \n  32 -> 36 [size =\"33039360\"]\n  33 [size=\"36098560\", alpha=\"0.08\", expect_size=\"14439424\"] \n  33 -> 35 [size =\"14439424\"]\n  34 [size=\"82406400\", alpha=\"0.01\", expect_size=\"32962560\"] \n  34 -> 35 [size =\"32962560\"]\n  34 -> 36 [size =\"32962560\"]\n  35 [size=\"65676800\", alpha=\"0.17\", expect_size=\"26270720\"] \n  35 -> 37 [size =\"26270720\"]\n  35 -> 38 [size =\"26270720\"]\n  36 [size=\"130757120\", alpha=\"0.05\", expect_size=\"52302848\"] \n  36 -> 37 [size =\"52302848\"]\n  36 -> 38 [size =\"52302848\"]\n  37 [size=\"67540480\", alpha=\"0.14\", expect_size=\"27016192\"] \n  37 -> 39 [size =\"27016192\"]\n  37 -> 40 [size =\"27016192\"]\n  38 [size=\"126935040\", alpha=\"0.05\", expect_size=\"50774016\"] \n  38 -> 39 [size =\"50774016\"]\n  38 -> 40 [size =\"50774016\"]\n  39 [size=\"109685760\", alpha=\"0.15\", expect_size=\"43874304\"] \n  40 [size=\"108730880\", alpha=\"0.10\", expect_size=\"43492352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37409280\", alpha=\"0.08\", expect_size=\"14963712\"] \n  1 -> 2 [size =\"14963712\"]\n  2 [size=\"109729280\", alpha=\"0.10\", expect_size=\"43891712\"] \n  2 -> 3 [size =\"43891712\"]\n  3 [size=\"124656640\", alpha=\"0.16\", expect_size=\"49862656\"] \n  3 -> 4 [size =\"49862656\"]\n  4 [size=\"99875840\", alpha=\"0.14\", expect_size=\"39950336\"] \n  4 -> 5 [size =\"39950336\"]\n  5 [size=\"39864320\", alpha=\"0.00\", expect_size=\"15945728\"] \n  5 -> 6 [size =\"15945728\"]\n  6 [size=\"114437120\", alpha=\"0.06\", expect_size=\"45774848\"] \n  6 -> 7 [size =\"45774848\"]\n  7 [size=\"83770880\", alpha=\"0.05\", expect_size=\"33508352\"] \n  7 -> 8 [size =\"33508352\"]\n  8 [size=\"47022080\", alpha=\"0.13\", expect_size=\"18808832\"] \n  8 -> 9 [size =\"18808832\"]\n  9 [size=\"23930880\", alpha=\"0.00\", expect_size=\"9572352\"] \n  9 -> 10 [size =\"9572352\"]\n  10 [size=\"54261760\", alpha=\"0.05\", expect_size=\"21704704\"] \n  10 -> 11 [size =\"21704704\"]\n  11 [size=\"31879680\", alpha=\"0.01\", expect_size=\"12751872\"] \n  11 -> 12 [size =\"12751872\"]\n  12 [size=\"77660160\", alpha=\"0.08\", expect_size=\"31064064\"] \n  12 -> 13 [size =\"31064064\"]\n  13 [size=\"20267520\", alpha=\"0.05\", expect_size=\"8107008\"] \n  13 -> 14 [size =\"8107008\"]\n  14 [size=\"115540480\", alpha=\"0.04\", expect_size=\"46216192\"] \n  14 -> 15 [size =\"46216192\"]\n  15 [size=\"83064320\", alpha=\"0.11\", expect_size=\"33225728\"] \n  15 -> 16 [size =\"33225728\"]\n  16 [size=\"85480960\", alpha=\"0.00\", expect_size=\"34192384\"] \n  16 -> 17 [size =\"34192384\"]\n  17 [size=\"119749120\", alpha=\"0.08\", expect_size=\"47899648\"] \n  17 -> 18 [size =\"47899648\"]\n  18 [size=\"30223360\", alpha=\"0.08\", expect_size=\"12089344\"] \n  18 -> 19 [size =\"12089344\"]\n  19 [size=\"104688640\", alpha=\"0.11\", expect_size=\"41875456\"] \n  19 -> 20 [size =\"41875456\"]\n  20 [size=\"105512960\", alpha=\"0.15\", expect_size=\"42205184\"] \n  20 -> 21 [size =\"42205184\"]\n  21 [size=\"19302400\", alpha=\"0.03\", expect_size=\"7720960\"] \n  21 -> 22 [size =\"7720960\"]\n  22 [size=\"23564800\", alpha=\"0.08\", expect_size=\"9425920\"] \n  22 -> 23 [size =\"9425920\"]\n  23 [size=\"69555200\", alpha=\"0.12\", expect_size=\"27822080\"] \n  23 -> 24 [size =\"27822080\"]\n  24 [size=\"97536000\", alpha=\"0.10\", expect_size=\"39014400\"] \n  24 -> 25 [size =\"39014400\"]\n  25 [size=\"119946240\", alpha=\"0.13\", expect_size=\"47978496\"] \n  25 -> 26 [size =\"47978496\"]\n  26 [size=\"65776640\", alpha=\"0.13\", expect_size=\"26310656\"] \n  26 -> 27 [size =\"26310656\"]\n  27 [size=\"68165120\", alpha=\"0.05\", expect_size=\"27266048\"] \n  27 -> 28 [size =\"27266048\"]\n  28 [size=\"115665920\", alpha=\"0.03\", expect_size=\"46266368\"] \n  28 -> 29 [size =\"46266368\"]\n  29 [size=\"44293120\", alpha=\"0.02\", expect_size=\"17717248\"] \n  29 -> 30 [size =\"17717248\"]\n  30 [size=\"108467200\", alpha=\"0.09\", expect_size=\"43386880\"] \n  30 -> 31 [size =\"43386880\"]\n  31 [size=\"79498240\", alpha=\"0.19\", expect_size=\"31799296\"] \n  31 -> 32 [size =\"31799296\"]\n  32 [size=\"99658240\", alpha=\"0.20\", expect_size=\"39863296\"] \n  32 -> 33 [size =\"39863296\"]\n  33 [size=\"29637120\", alpha=\"0.01\", expect_size=\"11854848\"] \n  33 -> 34 [size =\"11854848\"]\n  34 [size=\"98954240\", alpha=\"0.01\", expect_size=\"39581696\"] \n  34 -> 35 [size =\"39581696\"]\n  35 [size=\"40483840\", alpha=\"0.12\", expect_size=\"16193536\"] \n  35 -> 36 [size =\"16193536\"]\n  36 [size=\"116910080\", alpha=\"0.15\", expect_size=\"46764032\"] \n  36 -> 37 [size =\"46764032\"]\n  37 [size=\"75673600\", alpha=\"0.17\", expect_size=\"30269440\"] \n  37 -> 38 [size =\"30269440\"]\n  38 [size=\"105402880\", alpha=\"0.01\", expect_size=\"42161152\"] \n  38 -> 39 [size =\"42161152\"]\n  39 [size=\"122048000\", alpha=\"0.01\", expect_size=\"48819200\"] \n  39 -> 40 [size =\"48819200\"]\n  40 [size=\"18470400\", alpha=\"0.17\", expect_size=\"7388160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51906560\", alpha=\"0.07\", expect_size=\"15571968\"] \n  2 [size=\"79124480\", alpha=\"0.09\", expect_size=\"23737344\"] \n  2 -> 39 [size =\"23737344\"]\n  3 [size=\"42806613\", alpha=\"0.10\", expect_size=\"12841984\"] \n  4 [size=\"158709760\", alpha=\"0.04\", expect_size=\"47612928\"] \n  5 [size=\"112510293\", alpha=\"0.17\", expect_size=\"33753088\"] \n  6 [size=\"67409920\", alpha=\"0.08\", expect_size=\"20222976\"] \n  7 [size=\"104861013\", alpha=\"0.16\", expect_size=\"31458304\"] \n  8 [size=\"22292480\", alpha=\"0.02\", expect_size=\"6687744\"] \n  8 -> 39 [size =\"6687744\"]\n  8 -> 40 [size =\"6687744\"]\n  9 [size=\"45899093\", alpha=\"0.12\", expect_size=\"13769728\"] \n  9 -> 39 [size =\"13769728\"]\n  10 [size=\"28132693\", alpha=\"0.10\", expect_size=\"8439808\"] \n  11 [size=\"148264960\", alpha=\"0.04\", expect_size=\"44479488\"] \n  11 -> 40 [size =\"44479488\"]\n  12 [size=\"46216533\", alpha=\"0.16\", expect_size=\"13864960\"] \n  12 -> 39 [size =\"13864960\"]\n  13 [size=\"120726187\", alpha=\"0.02\", expect_size=\"36217856\"] \n  14 [size=\"45281280\", alpha=\"0.01\", expect_size=\"13584384\"] \n  14 -> 40 [size =\"13584384\"]\n  15 [size=\"74605227\", alpha=\"0.12\", expect_size=\"22381568\"] \n  15 -> 39 [size =\"22381568\"]\n  16 [size=\"51353600\", alpha=\"0.15\", expect_size=\"15406080\"] \n  17 [size=\"117992107\", alpha=\"0.07\", expect_size=\"35397632\"] \n  18 [size=\"86108160\", alpha=\"0.18\", expect_size=\"25832448\"] \n  19 [size=\"98635093\", alpha=\"0.11\", expect_size=\"29590528\"] \n  20 [size=\"32440320\", alpha=\"0.09\", expect_size=\"9732096\"] \n  21 [size=\"111237120\", alpha=\"0.12\", expect_size=\"33371136\"] \n  22 [size=\"140516693\", alpha=\"0.02\", expect_size=\"42155008\"] \n  23 [size=\"110684160\", alpha=\"0.16\", expect_size=\"33205248\"] \n  24 [size=\"129778347\", alpha=\"0.07\", expect_size=\"38933504\"] \n  25 [size=\"135065600\", alpha=\"0.11\", expect_size=\"40519680\"] \n  25 -> 39 [size =\"40519680\"]\n  26 [size=\"68259840\", alpha=\"0.01\", expect_size=\"20477952\"] \n  27 [size=\"28419413\", alpha=\"0.02\", expect_size=\"8525824\"] \n  27 -> 40 [size =\"8525824\"]\n  28 [size=\"81991680\", alpha=\"0.04\", expect_size=\"24597504\"] \n  28 -> 40 [size =\"24597504\"]\n  29 [size=\"70188373\", alpha=\"0.09\", expect_size=\"21056512\"] \n  29 -> 39 [size =\"21056512\"]\n  30 [size=\"156313600\", alpha=\"0.16\", expect_size=\"46894080\"] \n  31 [size=\"71055360\", alpha=\"0.20\", expect_size=\"21316608\"] \n  31 -> 40 [size =\"21316608\"]\n  32 [size=\"163423573\", alpha=\"0.07\", expect_size=\"49027072\"] \n  33 [size=\"23203840\", alpha=\"0.07\", expect_size=\"6961152\"] \n  33 -> 40 [size =\"6961152\"]\n  34 [size=\"147589120\", alpha=\"0.10\", expect_size=\"44276736\"] \n  34 -> 40 [size =\"44276736\"]\n  35 [size=\"48663893\", alpha=\"0.01\", expect_size=\"14599168\"] \n  35 -> 40 [size =\"14599168\"]\n  36 [size=\"136041813\", alpha=\"0.17\", expect_size=\"40812544\"] \n  37 [size=\"145083733\", alpha=\"0.05\", expect_size=\"43525120\"] \n  37 -> 40 [size =\"43525120\"]\n  38 [size=\"163174400\", alpha=\"0.01\", expect_size=\"48952320\"] \n  38 -> 40 [size =\"48952320\"]\n  39 [size=\"37850453\", alpha=\"0.08\", expect_size=\"11355136\"] \n  40 [size=\"112104107\", alpha=\"0.17\", expect_size=\"33631232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106188800\", alpha=\"0.16\", expect_size=\"31856640\"] \n  1 -> 2 [size =\"31856640\"]\n  2 [size=\"61620907\", alpha=\"0.18\", expect_size=\"18486272\"] \n  2 -> 3 [size =\"18486272\"]\n  3 [size=\"55842133\", alpha=\"0.15\", expect_size=\"16752640\"] \n  3 -> 4 [size =\"16752640\"]\n  4 [size=\"65426773\", alpha=\"0.19\", expect_size=\"19628032\"] \n  4 -> 5 [size =\"19628032\"]\n  5 [size=\"97877333\", alpha=\"0.15\", expect_size=\"29363200\"] \n  5 -> 6 [size =\"29363200\"]\n  6 [size=\"26876587\", alpha=\"0.07\", expect_size=\"8062976\"] \n  6 -> 7 [size =\"8062976\"]\n  7 [size=\"30027093\", alpha=\"0.11\", expect_size=\"9008128\"] \n  7 -> 8 [size =\"9008128\"]\n  8 [size=\"53691733\", alpha=\"0.17\", expect_size=\"16107520\"] \n  8 -> 9 [size =\"16107520\"]\n  9 [size=\"50008747\", alpha=\"0.07\", expect_size=\"15002624\"] \n  9 -> 10 [size =\"15002624\"]\n  10 [size=\"99174400\", alpha=\"0.09\", expect_size=\"29752320\"] \n  10 -> 11 [size =\"29752320\"]\n  11 [size=\"34290347\", alpha=\"0.02\", expect_size=\"10287104\"] \n  11 -> 12 [size =\"10287104\"]\n  12 [size=\"162119680\", alpha=\"0.20\", expect_size=\"48635904\"] \n  12 -> 13 [size =\"48635904\"]\n  13 [size=\"147070293\", alpha=\"0.13\", expect_size=\"44121088\"] \n  13 -> 14 [size =\"44121088\"]\n  14 [size=\"108591787\", alpha=\"0.10\", expect_size=\"32577536\"] \n  14 -> 15 [size =\"32577536\"]\n  15 [size=\"102546773\", alpha=\"0.02\", expect_size=\"30764032\"] \n  15 -> 16 [size =\"30764032\"]\n  16 [size=\"61880320\", alpha=\"0.15\", expect_size=\"18564096\"] \n  16 -> 17 [size =\"18564096\"]\n  17 [size=\"116913493\", alpha=\"0.03\", expect_size=\"35074048\"] \n  17 -> 18 [size =\"35074048\"]\n  18 [size=\"46906027\", alpha=\"0.19\", expect_size=\"14071808\"] \n  18 -> 19 [size =\"14071808\"]\n  19 [size=\"23528107\", alpha=\"0.10\", expect_size=\"7058432\"] \n  19 -> 20 [size =\"7058432\"]\n  20 [size=\"81541120\", alpha=\"0.13\", expect_size=\"24462336\"] \n  20 -> 21 [size =\"24462336\"]\n  21 [size=\"152640853\", alpha=\"0.07\", expect_size=\"45792256\"] \n  21 -> 22 [size =\"45792256\"]\n  22 [size=\"164717227\", alpha=\"0.06\", expect_size=\"49415168\"] \n  22 -> 23 [size =\"49415168\"]\n  23 [size=\"163768320\", alpha=\"0.11\", expect_size=\"49130496\"] \n  23 -> 24 [size =\"49130496\"]\n  24 [size=\"105485653\", alpha=\"0.01\", expect_size=\"31645696\"] \n  24 -> 25 [size =\"31645696\"]\n  25 [size=\"29293227\", alpha=\"0.02\", expect_size=\"8787968\"] \n  25 -> 26 [size =\"8787968\"]\n  26 [size=\"46339413\", alpha=\"0.04\", expect_size=\"13901824\"] \n  26 -> 27 [size =\"13901824\"]\n  27 [size=\"163321173\", alpha=\"0.07\", expect_size=\"48996352\"] \n  27 -> 28 [size =\"48996352\"]\n  28 [size=\"29364907\", alpha=\"0.15\", expect_size=\"8809472\"] \n  28 -> 29 [size =\"8809472\"]\n  29 [size=\"23299413\", alpha=\"0.07\", expect_size=\"6989824\"] \n  29 -> 30 [size =\"6989824\"]\n  30 [size=\"103410347\", alpha=\"0.10\", expect_size=\"31023104\"] \n  30 -> 31 [size =\"31023104\"]\n  31 [size=\"46694400\", alpha=\"0.15\", expect_size=\"14008320\"] \n  31 -> 32 [size =\"14008320\"]\n  32 [size=\"99153920\", alpha=\"0.18\", expect_size=\"29746176\"] \n  32 -> 33 [size =\"29746176\"]\n  33 [size=\"147643733\", alpha=\"0.18\", expect_size=\"44293120\"] \n  33 -> 34 [size =\"44293120\"]\n  34 [size=\"73246720\", alpha=\"0.09\", expect_size=\"21974016\"] \n  34 -> 35 [size =\"21974016\"]\n  35 [size=\"81199787\", alpha=\"0.11\", expect_size=\"24359936\"] \n  35 -> 36 [size =\"24359936\"]\n  36 [size=\"94621013\", alpha=\"0.18\", expect_size=\"28386304\"] \n  36 -> 37 [size =\"28386304\"]\n  37 [size=\"122910720\", alpha=\"0.19\", expect_size=\"36873216\"] \n  37 -> 38 [size =\"36873216\"]\n  38 [size=\"21333333\", alpha=\"0.03\", expect_size=\"6400000\"] \n  38 -> 39 [size =\"6400000\"]\n  39 [size=\"140680533\", alpha=\"0.08\", expect_size=\"42204160\"] \n  39 -> 40 [size =\"42204160\"]\n  40 [size=\"41629013\", alpha=\"0.01\", expect_size=\"12488704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77410987\", alpha=\"0.12\", expect_size=\"23223296\"] \n  1 -> 5 [size =\"23223296\"]\n  2 [size=\"151695360\", alpha=\"0.02\", expect_size=\"45508608\"] \n  3 [size=\"21510827\", alpha=\"0.10\", expect_size=\"6453248\"] \n  3 -> 4 [size =\"6453248\"]\n  4 [size=\"101317973\", alpha=\"0.09\", expect_size=\"30395392\"] \n  4 -> 6 [size =\"30395392\"]\n  4 -> 8 [size =\"30395392\"]\n  5 [size=\"149548373\", alpha=\"0.06\", expect_size=\"44864512\"] \n  5 -> 7 [size =\"44864512\"]\n  6 [size=\"58330453\", alpha=\"0.06\", expect_size=\"17499136\"] \n  6 -> 11 [size =\"17499136\"]\n  7 [size=\"72816640\", alpha=\"0.07\", expect_size=\"21844992\"] \n  8 [size=\"19264853\", alpha=\"0.00\", expect_size=\"5779456\"] \n  8 -> 9 [size =\"5779456\"]\n  8 -> 10 [size =\"5779456\"]\n  9 [size=\"29487787\", alpha=\"0.01\", expect_size=\"8846336\"] \n  9 -> 12 [size =\"8846336\"]\n  10 [size=\"92641280\", alpha=\"0.18\", expect_size=\"27792384\"] \n  10 -> 13 [size =\"27792384\"]\n  11 [size=\"106489173\", alpha=\"0.07\", expect_size=\"31946752\"] \n  11 -> 13 [size =\"31946752\"]\n  12 [size=\"40758613\", alpha=\"0.04\", expect_size=\"12227584\"] \n  12 -> 15 [size =\"12227584\"]\n  13 [size=\"59859627\", alpha=\"0.04\", expect_size=\"17957888\"] \n  13 -> 14 [size =\"17957888\"]\n  14 [size=\"140359680\", alpha=\"0.12\", expect_size=\"42107904\"] \n  14 -> 16 [size =\"42107904\"]\n  14 -> 17 [size =\"42107904\"]\n  15 [size=\"56439467\", alpha=\"0.10\", expect_size=\"16931840\"] \n  16 [size=\"107427840\", alpha=\"0.06\", expect_size=\"32228352\"] \n  16 -> 18 [size =\"32228352\"]\n  16 -> 19 [size =\"32228352\"]\n  17 [size=\"153419093\", alpha=\"0.08\", expect_size=\"46025728\"] \n  17 -> 20 [size =\"46025728\"]\n  18 [size=\"53323093\", alpha=\"0.18\", expect_size=\"15996928\"] \n  19 [size=\"55941120\", alpha=\"0.18\", expect_size=\"16782336\"] \n  19 -> 21 [size =\"16782336\"]\n  19 -> 22 [size =\"16782336\"]\n  20 [size=\"61880320\", alpha=\"0.00\", expect_size=\"18564096\"] \n  21 [size=\"49626453\", alpha=\"0.10\", expect_size=\"14887936\"] \n  21 -> 25 [size =\"14887936\"]\n  22 [size=\"108018347\", alpha=\"0.17\", expect_size=\"32405504\"] \n  22 -> 23 [size =\"32405504\"]\n  22 -> 24 [size =\"32405504\"]\n  23 [size=\"137557333\", alpha=\"0.04\", expect_size=\"41267200\"] \n  23 -> 26 [size =\"41267200\"]\n  24 [size=\"168581120\", alpha=\"0.02\", expect_size=\"50574336\"] \n  24 -> 27 [size =\"50574336\"]\n  25 [size=\"107209387\", alpha=\"0.17\", expect_size=\"32162816\"] \n  26 [size=\"27576320\", alpha=\"0.17\", expect_size=\"8272896\"] \n  26 -> 28 [size =\"8272896\"]\n  26 -> 29 [size =\"8272896\"]\n  27 [size=\"76161707\", alpha=\"0.04\", expect_size=\"22848512\"] \n  27 -> 30 [size =\"22848512\"]\n  28 [size=\"139332267\", alpha=\"0.11\", expect_size=\"41799680\"] \n  28 -> 32 [size =\"41799680\"]\n  29 [size=\"120524800\", alpha=\"0.19\", expect_size=\"36157440\"] \n  29 -> 31 [size =\"36157440\"]\n  29 -> 32 [size =\"36157440\"]\n  30 [size=\"106154667\", alpha=\"0.18\", expect_size=\"31846400\"] \n  31 [size=\"108137813\", alpha=\"0.07\", expect_size=\"32441344\"] \n  31 -> 33 [size =\"32441344\"]\n  31 -> 34 [size =\"32441344\"]\n  32 [size=\"29122560\", alpha=\"0.20\", expect_size=\"8736768\"] \n  33 [size=\"160621227\", alpha=\"0.18\", expect_size=\"48186368\"] \n  33 -> 36 [size =\"48186368\"]\n  34 [size=\"34805760\", alpha=\"0.11\", expect_size=\"10441728\"] \n  34 -> 35 [size =\"10441728\"]\n  35 [size=\"50097493\", alpha=\"0.10\", expect_size=\"15029248\"] \n  35 -> 37 [size =\"15029248\"]\n  35 -> 39 [size =\"15029248\"]\n  36 [size=\"23992320\", alpha=\"0.20\", expect_size=\"7197696\"] \n  36 -> 38 [size =\"7197696\"]\n  37 [size=\"154630827\", alpha=\"0.07\", expect_size=\"46389248\"] \n  38 [size=\"25497600\", alpha=\"0.19\", expect_size=\"7649280\"] \n  39 [size=\"110243840\", alpha=\"0.16\", expect_size=\"33073152\"] \n  39 -> 40 [size =\"33073152\"]\n  40 [size=\"106304853\", alpha=\"0.18\", expect_size=\"31891456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125163520\", alpha=\"0.15\", expect_size=\"50065408\"] \n  1 -> 2 [size =\"50065408\"]\n  2 [size=\"104312320\", alpha=\"0.16\", expect_size=\"41724928\"] \n  2 -> 3 [size =\"41724928\"]\n  3 [size=\"22072320\", alpha=\"0.04\", expect_size=\"8828928\"] \n  3 -> 4 [size =\"8828928\"]\n  4 [size=\"120522240\", alpha=\"0.04\", expect_size=\"48208896\"] \n  4 -> 5 [size =\"48208896\"]\n  5 [size=\"111503360\", alpha=\"0.09\", expect_size=\"44601344\"] \n  5 -> 6 [size =\"44601344\"]\n  6 [size=\"48583680\", alpha=\"0.08\", expect_size=\"19433472\"] \n  6 -> 7 [size =\"19433472\"]\n  7 [size=\"84067840\", alpha=\"0.07\", expect_size=\"33627136\"] \n  7 -> 8 [size =\"33627136\"]\n  8 [size=\"38323200\", alpha=\"0.01\", expect_size=\"15329280\"] \n  8 -> 9 [size =\"15329280\"]\n  9 [size=\"114713600\", alpha=\"0.15\", expect_size=\"45885440\"] \n  9 -> 10 [size =\"45885440\"]\n  10 [size=\"39833600\", alpha=\"0.03\", expect_size=\"15933440\"] \n  10 -> 11 [size =\"15933440\"]\n  11 [size=\"82355200\", alpha=\"0.03\", expect_size=\"32942080\"] \n  11 -> 12 [size =\"32942080\"]\n  12 [size=\"50688000\", alpha=\"0.03\", expect_size=\"20275200\"] \n  12 -> 13 [size =\"20275200\"]\n  13 [size=\"25676800\", alpha=\"0.12\", expect_size=\"10270720\"] \n  13 -> 14 [size =\"10270720\"]\n  14 [size=\"48640000\", alpha=\"0.10\", expect_size=\"19456000\"] \n  14 -> 15 [size =\"19456000\"]\n  15 [size=\"70976000\", alpha=\"0.07\", expect_size=\"28390400\"] \n  15 -> 16 [size =\"28390400\"]\n  16 [size=\"124464640\", alpha=\"0.05\", expect_size=\"49785856\"] \n  16 -> 17 [size =\"49785856\"]\n  17 [size=\"53877760\", alpha=\"0.15\", expect_size=\"21551104\"] \n  17 -> 18 [size =\"21551104\"]\n  18 [size=\"96826880\", alpha=\"0.19\", expect_size=\"38730752\"] \n  18 -> 19 [size =\"38730752\"]\n  19 [size=\"105346560\", alpha=\"0.01\", expect_size=\"42138624\"] \n  19 -> 20 [size =\"42138624\"]\n  20 [size=\"74670080\", alpha=\"0.15\", expect_size=\"29868032\"] \n  20 -> 21 [size =\"29868032\"]\n  21 [size=\"93158400\", alpha=\"0.08\", expect_size=\"37263360\"] \n  21 -> 22 [size =\"37263360\"]\n  22 [size=\"111674880\", alpha=\"0.16\", expect_size=\"44669952\"] \n  22 -> 23 [size =\"44669952\"]\n  23 [size=\"130764800\", alpha=\"0.06\", expect_size=\"52305920\"] \n  23 -> 24 [size =\"52305920\"]\n  24 [size=\"85662720\", alpha=\"0.14\", expect_size=\"34265088\"] \n  24 -> 25 [size =\"34265088\"]\n  25 [size=\"24212480\", alpha=\"0.19\", expect_size=\"9684992\"] \n  25 -> 26 [size =\"9684992\"]\n  26 [size=\"67563520\", alpha=\"0.10\", expect_size=\"27025408\"] \n  26 -> 27 [size =\"27025408\"]\n  27 [size=\"94277120\", alpha=\"0.13\", expect_size=\"37710848\"] \n  27 -> 28 [size =\"37710848\"]\n  28 [size=\"63270400\", alpha=\"0.00\", expect_size=\"25308160\"] \n  28 -> 29 [size =\"25308160\"]\n  29 [size=\"60211200\", alpha=\"0.05\", expect_size=\"24084480\"] \n  29 -> 30 [size =\"24084480\"]\n  30 [size=\"65607680\", alpha=\"0.14\", expect_size=\"26243072\"] \n  30 -> 31 [size =\"26243072\"]\n  31 [size=\"35550720\", alpha=\"0.14\", expect_size=\"14220288\"] \n  31 -> 32 [size =\"14220288\"]\n  32 [size=\"82099200\", alpha=\"0.01\", expect_size=\"32839680\"] \n  32 -> 33 [size =\"32839680\"]\n  33 [size=\"60528640\", alpha=\"0.11\", expect_size=\"24211456\"] \n  33 -> 34 [size =\"24211456\"]\n  34 [size=\"97776640\", alpha=\"0.06\", expect_size=\"39110656\"] \n  34 -> 35 [size =\"39110656\"]\n  35 [size=\"65323520\", alpha=\"0.11\", expect_size=\"26129408\"] \n  35 -> 36 [size =\"26129408\"]\n  36 [size=\"61573120\", alpha=\"0.15\", expect_size=\"24629248\"] \n  36 -> 37 [size =\"24629248\"]\n  37 [size=\"122004480\", alpha=\"0.06\", expect_size=\"48801792\"] \n  37 -> 38 [size =\"48801792\"]\n  38 [size=\"81646080\", alpha=\"0.11\", expect_size=\"32658432\"] \n  38 -> 39 [size =\"32658432\"]\n  39 [size=\"83683840\", alpha=\"0.11\", expect_size=\"33473536\"] \n  39 -> 40 [size =\"33473536\"]\n  40 [size=\"111761920\", alpha=\"0.02\", expect_size=\"44704768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115417600\", alpha=\"0.19\", expect_size=\"46167040\"] \n  1 -> 2 [size =\"46167040\"]\n  2 [size=\"129991680\", alpha=\"0.20\", expect_size=\"51996672\"] \n  2 -> 3 [size =\"51996672\"]\n  3 [size=\"37939200\", alpha=\"0.08\", expect_size=\"15175680\"] \n  3 -> 4 [size =\"15175680\"]\n  4 [size=\"122700800\", alpha=\"0.01\", expect_size=\"49080320\"] \n  4 -> 5 [size =\"49080320\"]\n  5 [size=\"67200000\", alpha=\"0.11\", expect_size=\"26880000\"] \n  5 -> 6 [size =\"26880000\"]\n  6 [size=\"117145600\", alpha=\"0.09\", expect_size=\"46858240\"] \n  6 -> 7 [size =\"46858240\"]\n  7 [size=\"80509440\", alpha=\"0.10\", expect_size=\"32203776\"] \n  7 -> 8 [size =\"32203776\"]\n  8 [size=\"120849920\", alpha=\"0.04\", expect_size=\"48339968\"] \n  8 -> 9 [size =\"48339968\"]\n  9 [size=\"118809600\", alpha=\"0.13\", expect_size=\"47523840\"] \n  9 -> 10 [size =\"47523840\"]\n  10 [size=\"17612800\", alpha=\"0.20\", expect_size=\"7045120\"] \n  10 -> 11 [size =\"7045120\"]\n  11 [size=\"105899520\", alpha=\"0.08\", expect_size=\"42359808\"] \n  11 -> 12 [size =\"42359808\"]\n  12 [size=\"99225600\", alpha=\"0.19\", expect_size=\"39690240\"] \n  12 -> 13 [size =\"39690240\"]\n  13 [size=\"97228800\", alpha=\"0.15\", expect_size=\"38891520\"] \n  13 -> 14 [size =\"38891520\"]\n  14 [size=\"28587520\", alpha=\"0.07\", expect_size=\"11435008\"] \n  14 -> 15 [size =\"11435008\"]\n  15 [size=\"35328000\", alpha=\"0.16\", expect_size=\"14131200\"] \n  15 -> 16 [size =\"14131200\"]\n  16 [size=\"101696000\", alpha=\"0.05\", expect_size=\"40678400\"] \n  16 -> 17 [size =\"40678400\"]\n  17 [size=\"34329600\", alpha=\"0.19\", expect_size=\"13731840\"] \n  17 -> 18 [size =\"13731840\"]\n  18 [size=\"95296000\", alpha=\"0.06\", expect_size=\"38118400\"] \n  18 -> 19 [size =\"38118400\"]\n  19 [size=\"115980800\", alpha=\"0.01\", expect_size=\"46392320\"] \n  19 -> 20 [size =\"46392320\"]\n  20 [size=\"75875840\", alpha=\"0.13\", expect_size=\"30350336\"] \n  20 -> 21 [size =\"30350336\"]\n  21 [size=\"73728000\", alpha=\"0.02\", expect_size=\"29491200\"] \n  21 -> 22 [size =\"29491200\"]\n  22 [size=\"121315840\", alpha=\"0.11\", expect_size=\"48526336\"] \n  22 -> 23 [size =\"48526336\"]\n  23 [size=\"113059840\", alpha=\"0.05\", expect_size=\"45223936\"] \n  23 -> 24 [size =\"45223936\"]\n  24 [size=\"85552640\", alpha=\"0.17\", expect_size=\"34221056\"] \n  24 -> 25 [size =\"34221056\"]\n  25 [size=\"124249600\", alpha=\"0.18\", expect_size=\"49699840\"] \n  25 -> 26 [size =\"49699840\"]\n  26 [size=\"102540800\", alpha=\"0.16\", expect_size=\"41016320\"] \n  26 -> 27 [size =\"41016320\"]\n  27 [size=\"129198080\", alpha=\"0.07\", expect_size=\"51679232\"] \n  27 -> 28 [size =\"51679232\"]\n  28 [size=\"124984320\", alpha=\"0.15\", expect_size=\"49993728\"] \n  28 -> 29 [size =\"49993728\"]\n  29 [size=\"44835840\", alpha=\"0.01\", expect_size=\"17934336\"] \n  29 -> 30 [size =\"17934336\"]\n  30 [size=\"49758720\", alpha=\"0.09\", expect_size=\"19903488\"] \n  30 -> 31 [size =\"19903488\"]\n  31 [size=\"125363200\", alpha=\"0.11\", expect_size=\"50145280\"] \n  31 -> 32 [size =\"50145280\"]\n  32 [size=\"20065280\", alpha=\"0.09\", expect_size=\"8026112\"] \n  32 -> 33 [size =\"8026112\"]\n  33 [size=\"86681600\", alpha=\"0.01\", expect_size=\"34672640\"] \n  33 -> 34 [size =\"34672640\"]\n  34 [size=\"114114560\", alpha=\"0.15\", expect_size=\"45645824\"] \n  34 -> 35 [size =\"45645824\"]\n  35 [size=\"93995520\", alpha=\"0.13\", expect_size=\"37598208\"] \n  35 -> 36 [size =\"37598208\"]\n  36 [size=\"80419840\", alpha=\"0.06\", expect_size=\"32167936\"] \n  36 -> 37 [size =\"32167936\"]\n  37 [size=\"59458560\", alpha=\"0.03\", expect_size=\"23783424\"] \n  37 -> 38 [size =\"23783424\"]\n  38 [size=\"98516480\", alpha=\"0.14\", expect_size=\"39406592\"] \n  38 -> 39 [size =\"39406592\"]\n  39 [size=\"69406720\", alpha=\"0.02\", expect_size=\"27762688\"] \n  39 -> 40 [size =\"27762688\"]\n  40 [size=\"77836800\", alpha=\"0.00\", expect_size=\"31134720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134912000\", alpha=\"0.14\", expect_size=\"40473600\"] \n  1 -> 28 [size =\"40473600\"]\n  1 -> 34 [size =\"40473600\"]\n  1 -> 35 [size =\"40473600\"]\n  1 -> 36 [size =\"40473600\"]\n  1 -> 40 [size =\"40473600\"]\n  2 [size=\"112107520\", alpha=\"0.19\", expect_size=\"33632256\"] \n  2 -> 27 [size =\"33632256\"]\n  2 -> 28 [size =\"33632256\"]\n  2 -> 30 [size =\"33632256\"]\n  2 -> 31 [size =\"33632256\"]\n  2 -> 33 [size =\"33632256\"]\n  2 -> 34 [size =\"33632256\"]\n  2 -> 40 [size =\"33632256\"]\n  3 [size=\"130365440\", alpha=\"0.02\", expect_size=\"39109632\"] \n  3 -> 27 [size =\"39109632\"]\n  3 -> 29 [size =\"39109632\"]\n  3 -> 32 [size =\"39109632\"]\n  3 -> 34 [size =\"39109632\"]\n  3 -> 39 [size =\"39109632\"]\n  4 [size=\"20480000\", alpha=\"0.04\", expect_size=\"6144000\"] \n  4 -> 27 [size =\"6144000\"]\n  4 -> 33 [size =\"6144000\"]\n  4 -> 34 [size =\"6144000\"]\n  4 -> 34 [size =\"6144000\"]\n  4 -> 38 [size =\"6144000\"]\n  4 -> 40 [size =\"6144000\"]\n  5 [size=\"99730773\", alpha=\"0.13\", expect_size=\"29919232\"] \n  5 -> 27 [size =\"29919232\"]\n  5 -> 30 [size =\"29919232\"]\n  5 -> 33 [size =\"29919232\"]\n  6 [size=\"169018027\", alpha=\"0.01\", expect_size=\"50705408\"] \n  6 -> 27 [size =\"50705408\"]\n  6 -> 28 [size =\"50705408\"]\n  6 -> 29 [size =\"50705408\"]\n  6 -> 30 [size =\"50705408\"]\n  6 -> 33 [size =\"50705408\"]\n  6 -> 39 [size =\"50705408\"]\n  7 [size=\"62044160\", alpha=\"0.17\", expect_size=\"18613248\"] \n  7 -> 25 [size =\"18613248\"]\n  7 -> 28 [size =\"18613248\"]\n  7 -> 33 [size =\"18613248\"]\n  8 [size=\"56326827\", alpha=\"0.08\", expect_size=\"16898048\"] \n  8 -> 25 [size =\"16898048\"]\n  8 -> 28 [size =\"16898048\"]\n  8 -> 30 [size =\"16898048\"]\n  8 -> 31 [size =\"16898048\"]\n  8 -> 33 [size =\"16898048\"]\n  8 -> 38 [size =\"16898048\"]\n  8 -> 39 [size =\"16898048\"]\n  8 -> 40 [size =\"16898048\"]\n  9 [size=\"140919467\", alpha=\"0.10\", expect_size=\"42275840\"] \n  9 -> 27 [size =\"42275840\"]\n  9 -> 28 [size =\"42275840\"]\n  9 -> 30 [size =\"42275840\"]\n  9 -> 33 [size =\"42275840\"]\n  9 -> 39 [size =\"42275840\"]\n  9 -> 40 [size =\"42275840\"]\n  10 [size=\"51169280\", alpha=\"0.11\", expect_size=\"15350784\"] \n  10 -> 27 [size =\"15350784\"]\n  10 -> 28 [size =\"15350784\"]\n  10 -> 30 [size =\"15350784\"]\n  10 -> 33 [size =\"15350784\"]\n  10 -> 38 [size =\"15350784\"]\n  10 -> 39 [size =\"15350784\"]\n  10 -> 40 [size =\"15350784\"]\n  11 [size=\"34887680\", alpha=\"0.18\", expect_size=\"10466304\"] \n  11 -> 28 [size =\"10466304\"]\n  11 -> 28 [size =\"10466304\"]\n  11 -> 30 [size =\"10466304\"]\n  11 -> 31 [size =\"10466304\"]\n  11 -> 34 [size =\"10466304\"]\n  11 -> 38 [size =\"10466304\"]\n  11 -> 39 [size =\"10466304\"]\n  11 -> 40 [size =\"10466304\"]\n  12 [size=\"144042667\", alpha=\"0.13\", expect_size=\"43212800\"] \n  12 -> 28 [size =\"43212800\"]\n  12 -> 30 [size =\"43212800\"]\n  12 -> 30 [size =\"43212800\"]\n  12 -> 38 [size =\"43212800\"]\n  12 -> 39 [size =\"43212800\"]\n  12 -> 40 [size =\"43212800\"]\n  13 [size=\"132573867\", alpha=\"0.16\", expect_size=\"39772160\"] \n  13 -> 27 [size =\"39772160\"]\n  13 -> 28 [size =\"39772160\"]\n  13 -> 30 [size =\"39772160\"]\n  13 -> 32 [size =\"39772160\"]\n  13 -> 36 [size =\"39772160\"]\n  13 -> 39 [size =\"39772160\"]\n  14 [size=\"151278933\", alpha=\"0.15\", expect_size=\"45383680\"] \n  14 -> 27 [size =\"45383680\"]\n  14 -> 28 [size =\"45383680\"]\n  14 -> 30 [size =\"45383680\"]\n  14 -> 33 [size =\"45383680\"]\n  14 -> 36 [size =\"45383680\"]\n  15 [size=\"26873173\", alpha=\"0.18\", expect_size=\"8061952\"] \n  15 -> 25 [size =\"8061952\"]\n  15 -> 27 [size =\"8061952\"]\n  15 -> 28 [size =\"8061952\"]\n  15 -> 36 [size =\"8061952\"]\n  15 -> 37 [size =\"8061952\"]\n  15 -> 39 [size =\"8061952\"]\n  15 -> 40 [size =\"8061952\"]\n  16 [size=\"132945920\", alpha=\"0.20\", expect_size=\"39883776\"] \n  16 -> 28 [size =\"39883776\"]\n  16 -> 32 [size =\"39883776\"]\n  16 -> 36 [size =\"39883776\"]\n  16 -> 37 [size =\"39883776\"]\n  16 -> 38 [size =\"39883776\"]\n  17 [size=\"140769280\", alpha=\"0.03\", expect_size=\"42230784\"] \n  17 -> 27 [size =\"42230784\"]\n  17 -> 29 [size =\"42230784\"]\n  17 -> 30 [size =\"42230784\"]\n  17 -> 36 [size =\"42230784\"]\n  18 [size=\"114804053\", alpha=\"0.11\", expect_size=\"34441216\"] \n  18 -> 27 [size =\"34441216\"]\n  18 -> 30 [size =\"34441216\"]\n  18 -> 32 [size =\"34441216\"]\n  19 [size=\"17964373\", alpha=\"0.12\", expect_size=\"5389312\"] \n  19 -> 27 [size =\"5389312\"]\n  19 -> 30 [size =\"5389312\"]\n  19 -> 40 [size =\"5389312\"]\n  20 [size=\"99512320\", alpha=\"0.14\", expect_size=\"29853696\"] \n  20 -> 26 [size =\"29853696\"]\n  20 -> 27 [size =\"29853696\"]\n  20 -> 28 [size =\"29853696\"]\n  20 -> 30 [size =\"29853696\"]\n  20 -> 36 [size =\"29853696\"]\n  20 -> 39 [size =\"29853696\"]\n  21 [size=\"25053867\", alpha=\"0.11\", expect_size=\"7516160\"] \n  21 -> 30 [size =\"7516160\"]\n  21 -> 33 [size =\"7516160\"]\n  21 -> 37 [size =\"7516160\"]\n  21 -> 38 [size =\"7516160\"]\n  22 [size=\"169089707\", alpha=\"0.19\", expect_size=\"50726912\"] \n  22 -> 27 [size =\"50726912\"]\n  22 -> 34 [size =\"50726912\"]\n  22 -> 36 [size =\"50726912\"]\n  22 -> 40 [size =\"50726912\"]\n  23 [size=\"114592427\", alpha=\"0.02\", expect_size=\"34377728\"] \n  23 -> 28 [size =\"34377728\"]\n  23 -> 29 [size =\"34377728\"]\n  23 -> 30 [size =\"34377728\"]\n  23 -> 31 [size =\"34377728\"]\n  23 -> 35 [size =\"34377728\"]\n  23 -> 38 [size =\"34377728\"]\n  23 -> 39 [size =\"34377728\"]\n  23 -> 40 [size =\"34377728\"]\n  24 [size=\"85521067\", alpha=\"0.06\", expect_size=\"25656320\"] \n  24 -> 28 [size =\"25656320\"]\n  24 -> 35 [size =\"25656320\"]\n  24 -> 39 [size =\"25656320\"]\n  24 -> 40 [size =\"25656320\"]\n  25 [size=\"45407573\", alpha=\"0.19\", expect_size=\"13622272\"] \n  26 [size=\"27808427\", alpha=\"0.12\", expect_size=\"8342528\"] \n  27 [size=\"27501227\", alpha=\"0.11\", expect_size=\"8250368\"] \n  28 [size=\"49803947\", alpha=\"0.15\", expect_size=\"14941184\"] \n  29 [size=\"133311147\", alpha=\"0.14\", expect_size=\"39993344\"] \n  30 [size=\"73332053\", alpha=\"0.18\", expect_size=\"21999616\"] \n  31 [size=\"26272427\", alpha=\"0.04\", expect_size=\"7881728\"] \n  32 [size=\"109564587\", alpha=\"0.06\", expect_size=\"32869376\"] \n  33 [size=\"103270400\", alpha=\"0.02\", expect_size=\"30981120\"] \n  34 [size=\"120279040\", alpha=\"0.16\", expect_size=\"36083712\"] \n  35 [size=\"163597653\", alpha=\"0.11\", expect_size=\"49079296\"] \n  36 [size=\"158190933\", alpha=\"0.00\", expect_size=\"47457280\"] \n  37 [size=\"98317653\", alpha=\"0.05\", expect_size=\"29495296\"] \n  38 [size=\"28545707\", alpha=\"0.03\", expect_size=\"8563712\"] \n  39 [size=\"145022293\", alpha=\"0.01\", expect_size=\"43506688\"] \n  40 [size=\"99324587\", alpha=\"0.09\", expect_size=\"29797376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26772480\", alpha=\"0.15\", expect_size=\"10708992\"] \n  1 -> 11 [size =\"10708992\"]\n  1 -> 12 [size =\"10708992\"]\n  1 -> 14 [size =\"10708992\"]\n  1 -> 15 [size =\"10708992\"]\n  1 -> 16 [size =\"10708992\"]\n  2 [size=\"28405760\", alpha=\"0.01\", expect_size=\"11362304\"] \n  2 -> 10 [size =\"11362304\"]\n  2 -> 12 [size =\"11362304\"]\n  2 -> 13 [size =\"11362304\"]\n  2 -> 16 [size =\"11362304\"]\n  3 [size=\"41607680\", alpha=\"0.07\", expect_size=\"16643072\"] \n  3 -> 9 [size =\"16643072\"]\n  3 -> 10 [size =\"16643072\"]\n  3 -> 11 [size =\"16643072\"]\n  3 -> 15 [size =\"16643072\"]\n  3 -> 16 [size =\"16643072\"]\n  3 -> 17 [size =\"16643072\"]\n  4 [size=\"43722240\", alpha=\"0.09\", expect_size=\"17488896\"] \n  4 -> 9 [size =\"17488896\"]\n  4 -> 13 [size =\"17488896\"]\n  4 -> 16 [size =\"17488896\"]\n  5 [size=\"108756480\", alpha=\"0.16\", expect_size=\"43502592\"] \n  5 -> 9 [size =\"43502592\"]\n  5 -> 10 [size =\"43502592\"]\n  5 -> 12 [size =\"43502592\"]\n  5 -> 13 [size =\"43502592\"]\n  5 -> 16 [size =\"43502592\"]\n  6 [size=\"35640320\", alpha=\"0.14\", expect_size=\"14256128\"] \n  6 -> 10 [size =\"14256128\"]\n  6 -> 15 [size =\"14256128\"]\n  6 -> 16 [size =\"14256128\"]\n  7 [size=\"102592000\", alpha=\"0.02\", expect_size=\"41036800\"] \n  7 -> 10 [size =\"41036800\"]\n  7 -> 11 [size =\"41036800\"]\n  7 -> 13 [size =\"41036800\"]\n  7 -> 14 [size =\"41036800\"]\n  7 -> 16 [size =\"41036800\"]\n  7 -> 17 [size =\"41036800\"]\n  8 [size=\"119034880\", alpha=\"0.16\", expect_size=\"47613952\"] \n  8 -> 9 [size =\"47613952\"]\n  8 -> 12 [size =\"47613952\"]\n  8 -> 14 [size =\"47613952\"]\n  8 -> 14 [size =\"47613952\"]\n  8 -> 16 [size =\"47613952\"]\n  9 [size=\"60339200\", alpha=\"0.00\", expect_size=\"24135680\"] \n  9 -> 18 [size =\"24135680\"]\n  9 -> 22 [size =\"24135680\"]\n  9 -> 23 [size =\"24135680\"]\n  10 [size=\"88245760\", alpha=\"0.11\", expect_size=\"35298304\"] \n  10 -> 18 [size =\"35298304\"]\n  10 -> 21 [size =\"35298304\"]\n  11 [size=\"112284160\", alpha=\"0.02\", expect_size=\"44913664\"] \n  11 -> 19 [size =\"44913664\"]\n  11 -> 24 [size =\"44913664\"]\n  12 [size=\"83118080\", alpha=\"0.13\", expect_size=\"33247232\"] \n  12 -> 19 [size =\"33247232\"]\n  12 -> 21 [size =\"33247232\"]\n  12 -> 23 [size =\"33247232\"]\n  13 [size=\"87367680\", alpha=\"0.05\", expect_size=\"34947072\"] \n  13 -> 18 [size =\"34947072\"]\n  13 -> 21 [size =\"34947072\"]\n  13 -> 22 [size =\"34947072\"]\n  13 -> 23 [size =\"34947072\"]\n  13 -> 24 [size =\"34947072\"]\n  14 [size=\"126650880\", alpha=\"0.11\", expect_size=\"50660352\"] \n  14 -> 18 [size =\"50660352\"]\n  14 -> 20 [size =\"50660352\"]\n  14 -> 21 [size =\"50660352\"]\n  14 -> 22 [size =\"50660352\"]\n  15 [size=\"64020480\", alpha=\"0.03\", expect_size=\"25608192\"] \n  15 -> 22 [size =\"25608192\"]\n  15 -> 23 [size =\"25608192\"]\n  16 [size=\"38328320\", alpha=\"0.02\", expect_size=\"15331328\"] \n  16 -> 18 [size =\"15331328\"]\n  16 -> 19 [size =\"15331328\"]\n  16 -> 23 [size =\"15331328\"]\n  17 [size=\"121182720\", alpha=\"0.02\", expect_size=\"48473088\"] \n  17 -> 19 [size =\"48473088\"]\n  17 -> 21 [size =\"48473088\"]\n  17 -> 22 [size =\"48473088\"]\n  17 -> 24 [size =\"48473088\"]\n  18 [size=\"15892480\", alpha=\"0.18\", expect_size=\"6356992\"] \n  18 -> 25 [size =\"6356992\"]\n  18 -> 26 [size =\"6356992\"]\n  18 -> 30 [size =\"6356992\"]\n  18 -> 31 [size =\"6356992\"]\n  18 -> 33 [size =\"6356992\"]\n  18 -> 36 [size =\"6356992\"]\n  19 [size=\"113105920\", alpha=\"0.01\", expect_size=\"45242368\"] \n  19 -> 25 [size =\"45242368\"]\n  19 -> 27 [size =\"45242368\"]\n  19 -> 28 [size =\"45242368\"]\n  19 -> 30 [size =\"45242368\"]\n  19 -> 32 [size =\"45242368\"]\n  19 -> 33 [size =\"45242368\"]\n  19 -> 35 [size =\"45242368\"]\n  20 [size=\"113295360\", alpha=\"0.07\", expect_size=\"45318144\"] \n  20 -> 25 [size =\"45318144\"]\n  20 -> 26 [size =\"45318144\"]\n  20 -> 27 [size =\"45318144\"]\n  20 -> 30 [size =\"45318144\"]\n  20 -> 32 [size =\"45318144\"]\n  20 -> 33 [size =\"45318144\"]\n  20 -> 35 [size =\"45318144\"]\n  20 -> 37 [size =\"45318144\"]\n  21 [size=\"58667520\", alpha=\"0.15\", expect_size=\"23467008\"] \n  21 -> 26 [size =\"23467008\"]\n  21 -> 26 [size =\"23467008\"]\n  21 -> 27 [size =\"23467008\"]\n  21 -> 32 [size =\"23467008\"]\n  21 -> 32 [size =\"23467008\"]\n  21 -> 33 [size =\"23467008\"]\n  21 -> 34 [size =\"23467008\"]\n  21 -> 35 [size =\"23467008\"]\n  21 -> 37 [size =\"23467008\"]\n  22 [size=\"68513280\", alpha=\"0.06\", expect_size=\"27405312\"] \n  22 -> 26 [size =\"27405312\"]\n  22 -> 27 [size =\"27405312\"]\n  22 -> 29 [size =\"27405312\"]\n  22 -> 31 [size =\"27405312\"]\n  22 -> 32 [size =\"27405312\"]\n  22 -> 33 [size =\"27405312\"]\n  22 -> 34 [size =\"27405312\"]\n  22 -> 35 [size =\"27405312\"]\n  22 -> 36 [size =\"27405312\"]\n  23 [size=\"26432000\", alpha=\"0.01\", expect_size=\"10572800\"] \n  23 -> 25 [size =\"10572800\"]\n  23 -> 26 [size =\"10572800\"]\n  23 -> 28 [size =\"10572800\"]\n  23 -> 30 [size =\"10572800\"]\n  23 -> 31 [size =\"10572800\"]\n  23 -> 32 [size =\"10572800\"]\n  23 -> 33 [size =\"10572800\"]\n  23 -> 35 [size =\"10572800\"]\n  24 [size=\"55459840\", alpha=\"0.02\", expect_size=\"22183936\"] \n  24 -> 25 [size =\"22183936\"]\n  24 -> 26 [size =\"22183936\"]\n  24 -> 27 [size =\"22183936\"]\n  24 -> 30 [size =\"22183936\"]\n  24 -> 31 [size =\"22183936\"]\n  24 -> 33 [size =\"22183936\"]\n  25 [size=\"119872000\", alpha=\"0.18\", expect_size=\"47948800\"] \n  25 -> 38 [size =\"47948800\"]\n  25 -> 40 [size =\"47948800\"]\n  26 [size=\"19509760\", alpha=\"0.19\", expect_size=\"7803904\"] \n  26 -> 38 [size =\"7803904\"]\n  27 [size=\"29217280\", alpha=\"0.15\", expect_size=\"11686912\"] \n  27 -> 38 [size =\"11686912\"]\n  27 -> 39 [size =\"11686912\"]\n  27 -> 40 [size =\"11686912\"]\n  28 [size=\"38494720\", alpha=\"0.09\", expect_size=\"15397888\"] \n  28 -> 38 [size =\"15397888\"]\n  28 -> 39 [size =\"15397888\"]\n  29 [size=\"24133120\", alpha=\"0.10\", expect_size=\"9653248\"] \n  30 [size=\"32896000\", alpha=\"0.05\", expect_size=\"13158400\"] \n  30 -> 38 [size =\"13158400\"]\n  31 [size=\"74910720\", alpha=\"0.16\", expect_size=\"29964288\"] \n  31 -> 38 [size =\"29964288\"]\n  31 -> 40 [size =\"29964288\"]\n  32 [size=\"45882880\", alpha=\"0.19\", expect_size=\"18353152\"] \n  32 -> 38 [size =\"18353152\"]\n  32 -> 39 [size =\"18353152\"]\n  33 [size=\"79078400\", alpha=\"0.15\", expect_size=\"31631360\"] \n  33 -> 38 [size =\"31631360\"]\n  34 [size=\"85032960\", alpha=\"0.10\", expect_size=\"34013184\"] \n  34 -> 38 [size =\"34013184\"]\n  34 -> 39 [size =\"34013184\"]\n  35 [size=\"94364160\", alpha=\"0.14\", expect_size=\"37745664\"] \n  35 -> 38 [size =\"37745664\"]\n  36 [size=\"84756480\", alpha=\"0.02\", expect_size=\"33902592\"] \n  36 -> 38 [size =\"33902592\"]\n  37 [size=\"78745600\", alpha=\"0.08\", expect_size=\"31498240\"] \n  37 -> 38 [size =\"31498240\"]\n  37 -> 40 [size =\"31498240\"]\n  38 [size=\"47854080\", alpha=\"0.15\", expect_size=\"19141632\"] \n  39 [size=\"98009600\", alpha=\"0.18\", expect_size=\"39203840\"] \n  40 [size=\"40517120\", alpha=\"0.19\", expect_size=\"16206848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63559680\", alpha=\"0.19\", expect_size=\"31779840\"] \n  1 -> 12 [size =\"31779840\"]\n  1 -> 13 [size =\"31779840\"]\n  1 -> 17 [size =\"31779840\"]\n  1 -> 18 [size =\"31779840\"]\n  1 -> 20 [size =\"31779840\"]\n  1 -> 22 [size =\"31779840\"]\n  1 -> 24 [size =\"31779840\"]\n  2 [size=\"12134400\", alpha=\"0.07\", expect_size=\"6067200\"] \n  2 -> 12 [size =\"6067200\"]\n  2 -> 16 [size =\"6067200\"]\n  2 -> 19 [size =\"6067200\"]\n  2 -> 20 [size =\"6067200\"]\n  2 -> 21 [size =\"6067200\"]\n  2 -> 24 [size =\"6067200\"]\n  3 [size=\"23529472\", alpha=\"0.05\", expect_size=\"11764736\"] \n  3 -> 12 [size =\"11764736\"]\n  3 -> 14 [size =\"11764736\"]\n  3 -> 17 [size =\"11764736\"]\n  4 [size=\"40017920\", alpha=\"0.01\", expect_size=\"20008960\"] \n  4 -> 18 [size =\"20008960\"]\n  5 [size=\"14061568\", alpha=\"0.20\", expect_size=\"7030784\"] \n  5 -> 14 [size =\"7030784\"]\n  5 -> 19 [size =\"7030784\"]\n  5 -> 20 [size =\"7030784\"]\n  5 -> 21 [size =\"7030784\"]\n  6 [size=\"45752320\", alpha=\"0.05\", expect_size=\"22876160\"] \n  6 -> 12 [size =\"22876160\"]\n  6 -> 13 [size =\"22876160\"]\n  6 -> 14 [size =\"22876160\"]\n  6 -> 16 [size =\"22876160\"]\n  6 -> 17 [size =\"22876160\"]\n  6 -> 19 [size =\"22876160\"]\n  6 -> 20 [size =\"22876160\"]\n  6 -> 23 [size =\"22876160\"]\n  6 -> 24 [size =\"22876160\"]\n  7 [size=\"33208320\", alpha=\"0.17\", expect_size=\"16604160\"] \n  7 -> 12 [size =\"16604160\"]\n  7 -> 13 [size =\"16604160\"]\n  7 -> 23 [size =\"16604160\"]\n  8 [size=\"90046464\", alpha=\"0.10\", expect_size=\"45023232\"] \n  8 -> 12 [size =\"45023232\"]\n  8 -> 22 [size =\"45023232\"]\n  8 -> 23 [size =\"45023232\"]\n  8 -> 24 [size =\"45023232\"]\n  9 [size=\"29691904\", alpha=\"0.16\", expect_size=\"14845952\"] \n  9 -> 13 [size =\"14845952\"]\n  9 -> 16 [size =\"14845952\"]\n  9 -> 17 [size =\"14845952\"]\n  9 -> 20 [size =\"14845952\"]\n  9 -> 22 [size =\"14845952\"]\n  9 -> 24 [size =\"14845952\"]\n  10 [size=\"50896896\", alpha=\"0.13\", expect_size=\"25448448\"] \n  10 -> 11 [size =\"25448448\"]\n  10 -> 13 [size =\"25448448\"]\n  10 -> 15 [size =\"25448448\"]\n  10 -> 18 [size =\"25448448\"]\n  10 -> 19 [size =\"25448448\"]\n  10 -> 20 [size =\"25448448\"]\n  10 -> 24 [size =\"25448448\"]\n  11 [size=\"100831232\", alpha=\"0.04\", expect_size=\"50415616\"] \n  11 -> 36 [size =\"50415616\"]\n  12 [size=\"97011712\", alpha=\"0.01\", expect_size=\"48505856\"] \n  12 -> 26 [size =\"48505856\"]\n  12 -> 35 [size =\"48505856\"]\n  12 -> 36 [size =\"48505856\"]\n  13 [size=\"33849344\", alpha=\"0.18\", expect_size=\"16924672\"] \n  13 -> 26 [size =\"16924672\"]\n  13 -> 27 [size =\"16924672\"]\n  13 -> 28 [size =\"16924672\"]\n  13 -> 29 [size =\"16924672\"]\n  13 -> 37 [size =\"16924672\"]\n  13 -> 38 [size =\"16924672\"]\n  14 [size=\"55752704\", alpha=\"0.18\", expect_size=\"27876352\"] \n  14 -> 25 [size =\"27876352\"]\n  14 -> 29 [size =\"27876352\"]\n  14 -> 37 [size =\"27876352\"]\n  14 -> 38 [size =\"27876352\"]\n  14 -> 39 [size =\"27876352\"]\n  15 [size=\"61618176\", alpha=\"0.08\", expect_size=\"30809088\"] \n  15 -> 25 [size =\"30809088\"]\n  15 -> 29 [size =\"30809088\"]\n  15 -> 36 [size =\"30809088\"]\n  15 -> 37 [size =\"30809088\"]\n  16 [size=\"61259776\", alpha=\"0.06\", expect_size=\"30629888\"] \n  16 -> 26 [size =\"30629888\"]\n  16 -> 29 [size =\"30629888\"]\n  16 -> 31 [size =\"30629888\"]\n  16 -> 35 [size =\"30629888\"]\n  17 [size=\"85059584\", alpha=\"0.16\", expect_size=\"42529792\"] \n  17 -> 25 [size =\"42529792\"]\n  17 -> 26 [size =\"42529792\"]\n  17 -> 29 [size =\"42529792\"]\n  17 -> 31 [size =\"42529792\"]\n  17 -> 36 [size =\"42529792\"]\n  17 -> 37 [size =\"42529792\"]\n  18 [size=\"70760448\", alpha=\"0.00\", expect_size=\"35380224\"] \n  18 -> 26 [size =\"35380224\"]\n  18 -> 29 [size =\"35380224\"]\n  18 -> 33 [size =\"35380224\"]\n  18 -> 35 [size =\"35380224\"]\n  18 -> 36 [size =\"35380224\"]\n  18 -> 37 [size =\"35380224\"]\n  19 [size=\"21608448\", alpha=\"0.07\", expect_size=\"10804224\"] \n  19 -> 25 [size =\"10804224\"]\n  19 -> 31 [size =\"10804224\"]\n  19 -> 32 [size =\"10804224\"]\n  19 -> 35 [size =\"10804224\"]\n  19 -> 36 [size =\"10804224\"]\n  19 -> 37 [size =\"10804224\"]\n  19 -> 39 [size =\"10804224\"]\n  20 [size=\"98506752\", alpha=\"0.08\", expect_size=\"49253376\"] \n  20 -> 26 [size =\"49253376\"]\n  20 -> 28 [size =\"49253376\"]\n  20 -> 31 [size =\"49253376\"]\n  20 -> 36 [size =\"49253376\"]\n  20 -> 39 [size =\"49253376\"]\n  21 [size=\"67090432\", alpha=\"0.01\", expect_size=\"33545216\"] \n  21 -> 27 [size =\"33545216\"]\n  21 -> 29 [size =\"33545216\"]\n  21 -> 30 [size =\"33545216\"]\n  21 -> 31 [size =\"33545216\"]\n  21 -> 32 [size =\"33545216\"]\n  21 -> 34 [size =\"33545216\"]\n  21 -> 35 [size =\"33545216\"]\n  21 -> 39 [size =\"33545216\"]\n  22 [size=\"86984704\", alpha=\"0.14\", expect_size=\"43492352\"] \n  22 -> 28 [size =\"43492352\"]\n  22 -> 29 [size =\"43492352\"]\n  22 -> 30 [size =\"43492352\"]\n  22 -> 36 [size =\"43492352\"]\n  22 -> 39 [size =\"43492352\"]\n  23 [size=\"90769408\", alpha=\"0.10\", expect_size=\"45384704\"] \n  23 -> 25 [size =\"45384704\"]\n  23 -> 35 [size =\"45384704\"]\n  23 -> 36 [size =\"45384704\"]\n  24 [size=\"79796224\", alpha=\"0.12\", expect_size=\"39898112\"] \n  24 -> 26 [size =\"39898112\"]\n  24 -> 35 [size =\"39898112\"]\n  24 -> 37 [size =\"39898112\"]\n  24 -> 38 [size =\"39898112\"]\n  25 [size=\"69492736\", alpha=\"0.14\", expect_size=\"34746368\"] \n  26 [size=\"11360256\", alpha=\"0.05\", expect_size=\"5680128\"] \n  26 -> 40 [size =\"5680128\"]\n  27 [size=\"40945664\", alpha=\"0.20\", expect_size=\"20472832\"] \n  28 [size=\"22493184\", alpha=\"0.11\", expect_size=\"11246592\"] \n  28 -> 40 [size =\"11246592\"]\n  29 [size=\"23519232\", alpha=\"0.07\", expect_size=\"11759616\"] \n  30 [size=\"57034752\", alpha=\"0.12\", expect_size=\"28517376\"] \n  30 -> 40 [size =\"28517376\"]\n  31 [size=\"96894976\", alpha=\"0.16\", expect_size=\"48447488\"] \n  31 -> 40 [size =\"48447488\"]\n  32 [size=\"101804032\", alpha=\"0.18\", expect_size=\"50902016\"] \n  33 [size=\"73414656\", alpha=\"0.05\", expect_size=\"36707328\"] \n  34 [size=\"24768512\", alpha=\"0.01\", expect_size=\"12384256\"] \n  35 [size=\"79767552\", alpha=\"0.08\", expect_size=\"39883776\"] \n  35 -> 40 [size =\"39883776\"]\n  36 [size=\"53250048\", alpha=\"0.07\", expect_size=\"26625024\"] \n  36 -> 40 [size =\"26625024\"]\n  37 [size=\"74852352\", alpha=\"0.01\", expect_size=\"37426176\"] \n  37 -> 40 [size =\"37426176\"]\n  38 [size=\"72923136\", alpha=\"0.07\", expect_size=\"36461568\"] \n  39 [size=\"32655360\", alpha=\"0.16\", expect_size=\"16327680\"] \n  39 -> 40 [size =\"16327680\"]\n  40 [size=\"67624960\", alpha=\"0.04\", expect_size=\"33812480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96313344\", alpha=\"0.18\", expect_size=\"48156672\"] \n  1 -> 4 [size =\"48156672\"]\n  1 -> 5 [size =\"48156672\"]\n  1 -> 6 [size =\"48156672\"]\n  2 [size=\"77242368\", alpha=\"0.07\", expect_size=\"38621184\"] \n  2 -> 4 [size =\"38621184\"]\n  2 -> 6 [size =\"38621184\"]\n  3 [size=\"25434112\", alpha=\"0.16\", expect_size=\"12717056\"] \n  3 -> 4 [size =\"12717056\"]\n  4 [size=\"40316928\", alpha=\"0.08\", expect_size=\"20158464\"] \n  4 -> 7 [size =\"20158464\"]\n  4 -> 8 [size =\"20158464\"]\n  4 -> 9 [size =\"20158464\"]\n  5 [size=\"95981568\", alpha=\"0.11\", expect_size=\"47990784\"] \n  5 -> 7 [size =\"47990784\"]\n  5 -> 9 [size =\"47990784\"]\n  6 [size=\"90785792\", alpha=\"0.11\", expect_size=\"45392896\"] \n  6 -> 7 [size =\"45392896\"]\n  7 [size=\"12800000\", alpha=\"0.00\", expect_size=\"6400000\"] \n  7 -> 10 [size =\"6400000\"]\n  8 [size=\"77608960\", alpha=\"0.09\", expect_size=\"38804480\"] \n  9 [size=\"78209024\", alpha=\"0.03\", expect_size=\"39104512\"] \n  9 -> 10 [size =\"39104512\"]\n  9 -> 11 [size =\"39104512\"]\n  10 [size=\"82208768\", alpha=\"0.03\", expect_size=\"41104384\"] \n  10 -> 13 [size =\"41104384\"]\n  10 -> 14 [size =\"41104384\"]\n  11 [size=\"81334272\", alpha=\"0.04\", expect_size=\"40667136\"] \n  11 -> 12 [size =\"40667136\"]\n  11 -> 13 [size =\"40667136\"]\n  11 -> 14 [size =\"40667136\"]\n  12 [size=\"71333888\", alpha=\"0.15\", expect_size=\"35666944\"] \n  12 -> 15 [size =\"35666944\"]\n  12 -> 16 [size =\"35666944\"]\n  13 [size=\"12302336\", alpha=\"0.00\", expect_size=\"6151168\"] \n  13 -> 15 [size =\"6151168\"]\n  13 -> 16 [size =\"6151168\"]\n  14 [size=\"90099712\", alpha=\"0.03\", expect_size=\"45049856\"] \n  14 -> 15 [size =\"45049856\"]\n  14 -> 16 [size =\"45049856\"]\n  15 [size=\"32561152\", alpha=\"0.03\", expect_size=\"16280576\"] \n  15 -> 17 [size =\"16280576\"]\n  15 -> 18 [size =\"16280576\"]\n  15 -> 19 [size =\"16280576\"]\n  16 [size=\"86454272\", alpha=\"0.14\", expect_size=\"43227136\"] \n  16 -> 17 [size =\"43227136\"]\n  16 -> 18 [size =\"43227136\"]\n  16 -> 19 [size =\"43227136\"]\n  17 [size=\"42414080\", alpha=\"0.04\", expect_size=\"21207040\"] \n  17 -> 20 [size =\"21207040\"]\n  17 -> 21 [size =\"21207040\"]\n  18 [size=\"44709888\", alpha=\"0.15\", expect_size=\"22354944\"] \n  18 -> 20 [size =\"22354944\"]\n  19 [size=\"89178112\", alpha=\"0.10\", expect_size=\"44589056\"] \n  19 -> 20 [size =\"44589056\"]\n  19 -> 21 [size =\"44589056\"]\n  20 [size=\"102995968\", alpha=\"0.14\", expect_size=\"51497984\"] \n  20 -> 22 [size =\"51497984\"]\n  20 -> 23 [size =\"51497984\"]\n  21 [size=\"22401024\", alpha=\"0.16\", expect_size=\"11200512\"] \n  21 -> 22 [size =\"11200512\"]\n  21 -> 23 [size =\"11200512\"]\n  22 [size=\"39251968\", alpha=\"0.12\", expect_size=\"19625984\"] \n  22 -> 24 [size =\"19625984\"]\n  23 [size=\"17127424\", alpha=\"0.11\", expect_size=\"8563712\"] \n  23 -> 24 [size =\"8563712\"]\n  23 -> 25 [size =\"8563712\"]\n  24 [size=\"18425856\", alpha=\"0.16\", expect_size=\"9212928\"] \n  24 -> 26 [size =\"9212928\"]\n  24 -> 27 [size =\"9212928\"]\n  25 [size=\"33271808\", alpha=\"0.20\", expect_size=\"16635904\"] \n  25 -> 26 [size =\"16635904\"]\n  25 -> 27 [size =\"16635904\"]\n  26 [size=\"47419392\", alpha=\"0.00\", expect_size=\"23709696\"] \n  26 -> 28 [size =\"23709696\"]\n  26 -> 29 [size =\"23709696\"]\n  26 -> 30 [size =\"23709696\"]\n  27 [size=\"18657280\", alpha=\"0.01\", expect_size=\"9328640\"] \n  27 -> 28 [size =\"9328640\"]\n  27 -> 29 [size =\"9328640\"]\n  27 -> 30 [size =\"9328640\"]\n  28 [size=\"35192832\", alpha=\"0.17\", expect_size=\"17596416\"] \n  28 -> 31 [size =\"17596416\"]\n  28 -> 32 [size =\"17596416\"]\n  29 [size=\"13273088\", alpha=\"0.06\", expect_size=\"6636544\"] \n  29 -> 31 [size =\"6636544\"]\n  29 -> 32 [size =\"6636544\"]\n  30 [size=\"62654464\", alpha=\"0.11\", expect_size=\"31327232\"] \n  30 -> 31 [size =\"31327232\"]\n  30 -> 32 [size =\"31327232\"]\n  31 [size=\"34557952\", alpha=\"0.11\", expect_size=\"17278976\"] \n  31 -> 33 [size =\"17278976\"]\n  31 -> 34 [size =\"17278976\"]\n  32 [size=\"14815232\", alpha=\"0.04\", expect_size=\"7407616\"] \n  32 -> 33 [size =\"7407616\"]\n  32 -> 34 [size =\"7407616\"]\n  33 [size=\"70184960\", alpha=\"0.17\", expect_size=\"35092480\"] \n  33 -> 35 [size =\"35092480\"]\n  33 -> 36 [size =\"35092480\"]\n  34 [size=\"26869760\", alpha=\"0.07\", expect_size=\"13434880\"] \n  34 -> 35 [size =\"13434880\"]\n  34 -> 36 [size =\"13434880\"]\n  34 -> 37 [size =\"13434880\"]\n  35 [size=\"103446528\", alpha=\"0.01\", expect_size=\"51723264\"] \n  35 -> 38 [size =\"51723264\"]\n  35 -> 39 [size =\"51723264\"]\n  35 -> 40 [size =\"51723264\"]\n  36 [size=\"102297600\", alpha=\"0.12\", expect_size=\"51148800\"] \n  36 -> 38 [size =\"51148800\"]\n  36 -> 39 [size =\"51148800\"]\n  36 -> 40 [size =\"51148800\"]\n  37 [size=\"103723008\", alpha=\"0.10\", expect_size=\"51861504\"] \n  37 -> 38 [size =\"51861504\"]\n  37 -> 39 [size =\"51861504\"]\n  37 -> 40 [size =\"51861504\"]\n  38 [size=\"15667200\", alpha=\"0.14\", expect_size=\"7833600\"] \n  39 [size=\"93995008\", alpha=\"0.16\", expect_size=\"46997504\"] \n  40 [size=\"28946432\", alpha=\"0.17\", expect_size=\"14473216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90334720\", alpha=\"0.07\", expect_size=\"36133888\"] \n  1 -> 2 [size =\"36133888\"]\n  2 [size=\"130944000\", alpha=\"0.17\", expect_size=\"52377600\"] \n  2 -> 3 [size =\"52377600\"]\n  3 [size=\"61222400\", alpha=\"0.18\", expect_size=\"24488960\"] \n  3 -> 4 [size =\"24488960\"]\n  4 [size=\"94151680\", alpha=\"0.13\", expect_size=\"37660672\"] \n  4 -> 5 [size =\"37660672\"]\n  5 [size=\"91942400\", alpha=\"0.03\", expect_size=\"36776960\"] \n  5 -> 6 [size =\"36776960\"]\n  6 [size=\"125160960\", alpha=\"0.04\", expect_size=\"50064384\"] \n  6 -> 7 [size =\"50064384\"]\n  7 [size=\"99082240\", alpha=\"0.16\", expect_size=\"39632896\"] \n  7 -> 8 [size =\"39632896\"]\n  8 [size=\"16547840\", alpha=\"0.06\", expect_size=\"6619136\"] \n  8 -> 9 [size =\"6619136\"]\n  9 [size=\"59901440\", alpha=\"0.03\", expect_size=\"23960576\"] \n  9 -> 10 [size =\"23960576\"]\n  10 [size=\"95272960\", alpha=\"0.03\", expect_size=\"38109184\"] \n  10 -> 11 [size =\"38109184\"]\n  11 [size=\"19484160\", alpha=\"0.07\", expect_size=\"7793664\"] \n  11 -> 12 [size =\"7793664\"]\n  12 [size=\"61557760\", alpha=\"0.11\", expect_size=\"24623104\"] \n  12 -> 13 [size =\"24623104\"]\n  13 [size=\"42659840\", alpha=\"0.01\", expect_size=\"17063936\"] \n  13 -> 14 [size =\"17063936\"]\n  14 [size=\"31070720\", alpha=\"0.12\", expect_size=\"12428288\"] \n  14 -> 15 [size =\"12428288\"]\n  15 [size=\"105963520\", alpha=\"0.14\", expect_size=\"42385408\"] \n  15 -> 16 [size =\"42385408\"]\n  16 [size=\"121003520\", alpha=\"0.02\", expect_size=\"48401408\"] \n  16 -> 17 [size =\"48401408\"]\n  17 [size=\"25884160\", alpha=\"0.02\", expect_size=\"10353664\"] \n  17 -> 18 [size =\"10353664\"]\n  18 [size=\"122398720\", alpha=\"0.06\", expect_size=\"48959488\"] \n  18 -> 19 [size =\"48959488\"]\n  19 [size=\"42526720\", alpha=\"0.13\", expect_size=\"17010688\"] \n  19 -> 20 [size =\"17010688\"]\n  20 [size=\"58109440\", alpha=\"0.08\", expect_size=\"23243776\"] \n  20 -> 21 [size =\"23243776\"]\n  21 [size=\"75304960\", alpha=\"0.17\", expect_size=\"30121984\"] \n  21 -> 22 [size =\"30121984\"]\n  22 [size=\"115855360\", alpha=\"0.06\", expect_size=\"46342144\"] \n  22 -> 23 [size =\"46342144\"]\n  23 [size=\"65295360\", alpha=\"0.03\", expect_size=\"26118144\"] \n  23 -> 24 [size =\"26118144\"]\n  24 [size=\"74114560\", alpha=\"0.14\", expect_size=\"29645824\"] \n  24 -> 25 [size =\"29645824\"]\n  25 [size=\"28418560\", alpha=\"0.18\", expect_size=\"11367424\"] \n  25 -> 26 [size =\"11367424\"]\n  26 [size=\"113149440\", alpha=\"0.01\", expect_size=\"45259776\"] \n  26 -> 27 [size =\"45259776\"]\n  27 [size=\"125273600\", alpha=\"0.18\", expect_size=\"50109440\"] \n  27 -> 28 [size =\"50109440\"]\n  28 [size=\"17047040\", alpha=\"0.17\", expect_size=\"6818816\"] \n  28 -> 29 [size =\"6818816\"]\n  29 [size=\"54735360\", alpha=\"0.03\", expect_size=\"21894144\"] \n  29 -> 30 [size =\"21894144\"]\n  30 [size=\"128734720\", alpha=\"0.03\", expect_size=\"51493888\"] \n  30 -> 31 [size =\"51493888\"]\n  31 [size=\"59668480\", alpha=\"0.04\", expect_size=\"23867392\"] \n  31 -> 32 [size =\"23867392\"]\n  32 [size=\"42734080\", alpha=\"0.14\", expect_size=\"17093632\"] \n  32 -> 33 [size =\"17093632\"]\n  33 [size=\"77798400\", alpha=\"0.08\", expect_size=\"31119360\"] \n  33 -> 34 [size =\"31119360\"]\n  34 [size=\"95014400\", alpha=\"0.05\", expect_size=\"38005760\"] \n  34 -> 35 [size =\"38005760\"]\n  35 [size=\"57466880\", alpha=\"0.19\", expect_size=\"22986752\"] \n  35 -> 36 [size =\"22986752\"]\n  36 [size=\"43985920\", alpha=\"0.10\", expect_size=\"17594368\"] \n  36 -> 37 [size =\"17594368\"]\n  37 [size=\"48665600\", alpha=\"0.04\", expect_size=\"19466240\"] \n  37 -> 38 [size =\"19466240\"]\n  38 [size=\"39516160\", alpha=\"0.16\", expect_size=\"15806464\"] \n  38 -> 39 [size =\"15806464\"]\n  39 [size=\"19978240\", alpha=\"0.13\", expect_size=\"7991296\"] \n  39 -> 40 [size =\"7991296\"]\n  40 [size=\"36848640\", alpha=\"0.18\", expect_size=\"14739456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64843776\", alpha=\"0.07\", expect_size=\"32421888\"] \n  1 -> 4 [size =\"32421888\"]\n  1 -> 5 [size =\"32421888\"]\n  2 [size=\"44558336\", alpha=\"0.09\", expect_size=\"22279168\"] \n  2 -> 4 [size =\"22279168\"]\n  2 -> 5 [size =\"22279168\"]\n  3 [size=\"30806016\", alpha=\"0.04\", expect_size=\"15403008\"] \n  3 -> 4 [size =\"15403008\"]\n  3 -> 5 [size =\"15403008\"]\n  4 [size=\"101363712\", alpha=\"0.15\", expect_size=\"50681856\"] \n  4 -> 6 [size =\"50681856\"]\n  5 [size=\"78966784\", alpha=\"0.13\", expect_size=\"39483392\"] \n  5 -> 7 [size =\"39483392\"]\n  6 [size=\"98019328\", alpha=\"0.01\", expect_size=\"49009664\"] \n  6 -> 9 [size =\"49009664\"]\n  7 [size=\"66594816\", alpha=\"0.04\", expect_size=\"33297408\"] \n  7 -> 8 [size =\"33297408\"]\n  7 -> 9 [size =\"33297408\"]\n  8 [size=\"93775872\", alpha=\"0.11\", expect_size=\"46887936\"] \n  8 -> 10 [size =\"46887936\"]\n  8 -> 11 [size =\"46887936\"]\n  8 -> 12 [size =\"46887936\"]\n  9 [size=\"17833984\", alpha=\"0.03\", expect_size=\"8916992\"] \n  9 -> 10 [size =\"8916992\"]\n  9 -> 12 [size =\"8916992\"]\n  10 [size=\"76687360\", alpha=\"0.10\", expect_size=\"38343680\"] \n  10 -> 13 [size =\"38343680\"]\n  10 -> 15 [size =\"38343680\"]\n  11 [size=\"88694784\", alpha=\"0.02\", expect_size=\"44347392\"] \n  11 -> 13 [size =\"44347392\"]\n  11 -> 15 [size =\"44347392\"]\n  12 [size=\"26779648\", alpha=\"0.14\", expect_size=\"13389824\"] \n  12 -> 13 [size =\"13389824\"]\n  12 -> 14 [size =\"13389824\"]\n  12 -> 15 [size =\"13389824\"]\n  13 [size=\"69816320\", alpha=\"0.18\", expect_size=\"34908160\"] \n  13 -> 17 [size =\"34908160\"]\n  14 [size=\"90210304\", alpha=\"0.01\", expect_size=\"45105152\"] \n  14 -> 16 [size =\"45105152\"]\n  15 [size=\"67020800\", alpha=\"0.11\", expect_size=\"33510400\"] \n  15 -> 17 [size =\"33510400\"]\n  16 [size=\"31809536\", alpha=\"0.04\", expect_size=\"15904768\"] \n  16 -> 18 [size =\"15904768\"]\n  16 -> 19 [size =\"15904768\"]\n  17 [size=\"38754304\", alpha=\"0.14\", expect_size=\"19377152\"] \n  17 -> 19 [size =\"19377152\"]\n  18 [size=\"57188352\", alpha=\"0.08\", expect_size=\"28594176\"] \n  18 -> 21 [size =\"28594176\"]\n  19 [size=\"12759040\", alpha=\"0.18\", expect_size=\"6379520\"] \n  19 -> 20 [size =\"6379520\"]\n  19 -> 21 [size =\"6379520\"]\n  20 [size=\"28151808\", alpha=\"0.17\", expect_size=\"14075904\"] \n  20 -> 22 [size =\"14075904\"]\n  20 -> 23 [size =\"14075904\"]\n  21 [size=\"73050112\", alpha=\"0.08\", expect_size=\"36525056\"] \n  21 -> 22 [size =\"36525056\"]\n  21 -> 23 [size =\"36525056\"]\n  22 [size=\"84629504\", alpha=\"0.06\", expect_size=\"42314752\"] \n  22 -> 24 [size =\"42314752\"]\n  22 -> 25 [size =\"42314752\"]\n  23 [size=\"55392256\", alpha=\"0.08\", expect_size=\"27696128\"] \n  23 -> 24 [size =\"27696128\"]\n  23 -> 25 [size =\"27696128\"]\n  24 [size=\"46376960\", alpha=\"0.09\", expect_size=\"23188480\"] \n  24 -> 26 [size =\"23188480\"]\n  24 -> 27 [size =\"23188480\"]\n  24 -> 28 [size =\"23188480\"]\n  25 [size=\"50423808\", alpha=\"0.05\", expect_size=\"25211904\"] \n  25 -> 26 [size =\"25211904\"]\n  25 -> 27 [size =\"25211904\"]\n  25 -> 28 [size =\"25211904\"]\n  26 [size=\"101187584\", alpha=\"0.19\", expect_size=\"50593792\"] \n  26 -> 29 [size =\"50593792\"]\n  26 -> 30 [size =\"50593792\"]\n  26 -> 31 [size =\"50593792\"]\n  27 [size=\"25544704\", alpha=\"0.06\", expect_size=\"12772352\"] \n  27 -> 29 [size =\"12772352\"]\n  27 -> 30 [size =\"12772352\"]\n  28 [size=\"93962240\", alpha=\"0.10\", expect_size=\"46981120\"] \n  28 -> 29 [size =\"46981120\"]\n  28 -> 30 [size =\"46981120\"]\n  29 [size=\"38363136\", alpha=\"0.15\", expect_size=\"19181568\"] \n  29 -> 34 [size =\"19181568\"]\n  30 [size=\"29761536\", alpha=\"0.15\", expect_size=\"14880768\"] \n  30 -> 32 [size =\"14880768\"]\n  31 [size=\"16617472\", alpha=\"0.11\", expect_size=\"8308736\"] \n  31 -> 32 [size =\"8308736\"]\n  31 -> 33 [size =\"8308736\"]\n  32 [size=\"53288960\", alpha=\"0.10\", expect_size=\"26644480\"] \n  32 -> 35 [size =\"26644480\"]\n  32 -> 36 [size =\"26644480\"]\n  33 [size=\"79478784\", alpha=\"0.02\", expect_size=\"39739392\"] \n  33 -> 36 [size =\"39739392\"]\n  34 [size=\"21137408\", alpha=\"0.11\", expect_size=\"10568704\"] \n  34 -> 35 [size =\"10568704\"]\n  34 -> 36 [size =\"10568704\"]\n  35 [size=\"63514624\", alpha=\"0.12\", expect_size=\"31757312\"] \n  35 -> 37 [size =\"31757312\"]\n  35 -> 38 [size =\"31757312\"]\n  36 [size=\"86347776\", alpha=\"0.18\", expect_size=\"43173888\"] \n  36 -> 37 [size =\"43173888\"]\n  37 [size=\"82800640\", alpha=\"0.09\", expect_size=\"41400320\"] \n  37 -> 39 [size =\"41400320\"]\n  37 -> 40 [size =\"41400320\"]\n  38 [size=\"14610432\", alpha=\"0.11\", expect_size=\"7305216\"] \n  38 -> 40 [size =\"7305216\"]\n  39 [size=\"59439104\", alpha=\"0.13\", expect_size=\"29719552\"] \n  40 [size=\"35893248\", alpha=\"0.18\", expect_size=\"17946624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76439040\", alpha=\"0.06\", expect_size=\"30575616\"] \n  1 -> 2 [size =\"30575616\"]\n  2 [size=\"129804800\", alpha=\"0.05\", expect_size=\"51921920\"] \n  2 -> 3 [size =\"51921920\"]\n  3 [size=\"41466880\", alpha=\"0.08\", expect_size=\"16586752\"] \n  3 -> 4 [size =\"16586752\"]\n  4 [size=\"48168960\", alpha=\"0.09\", expect_size=\"19267584\"] \n  4 -> 5 [size =\"19267584\"]\n  5 [size=\"72279040\", alpha=\"0.18\", expect_size=\"28911616\"] \n  5 -> 6 [size =\"28911616\"]\n  6 [size=\"96796160\", alpha=\"0.07\", expect_size=\"38718464\"] \n  6 -> 7 [size =\"38718464\"]\n  7 [size=\"105152000\", alpha=\"0.15\", expect_size=\"42060800\"] \n  7 -> 8 [size =\"42060800\"]\n  8 [size=\"78824960\", alpha=\"0.03\", expect_size=\"31529984\"] \n  8 -> 9 [size =\"31529984\"]\n  9 [size=\"85606400\", alpha=\"0.03\", expect_size=\"34242560\"] \n  9 -> 10 [size =\"34242560\"]\n  10 [size=\"130040320\", alpha=\"0.20\", expect_size=\"52016128\"] \n  10 -> 11 [size =\"52016128\"]\n  11 [size=\"31034880\", alpha=\"0.12\", expect_size=\"12413952\"] \n  11 -> 12 [size =\"12413952\"]\n  12 [size=\"67929600\", alpha=\"0.08\", expect_size=\"27171840\"] \n  12 -> 13 [size =\"27171840\"]\n  13 [size=\"99635200\", alpha=\"0.15\", expect_size=\"39854080\"] \n  13 -> 14 [size =\"39854080\"]\n  14 [size=\"28336640\", alpha=\"0.05\", expect_size=\"11334656\"] \n  14 -> 15 [size =\"11334656\"]\n  15 [size=\"78758400\", alpha=\"0.04\", expect_size=\"31503360\"] \n  15 -> 16 [size =\"31503360\"]\n  16 [size=\"68797440\", alpha=\"0.16\", expect_size=\"27518976\"] \n  16 -> 17 [size =\"27518976\"]\n  17 [size=\"108175360\", alpha=\"0.08\", expect_size=\"43270144\"] \n  17 -> 18 [size =\"43270144\"]\n  18 [size=\"76203520\", alpha=\"0.11\", expect_size=\"30481408\"] \n  18 -> 19 [size =\"30481408\"]\n  19 [size=\"94993920\", alpha=\"0.17\", expect_size=\"37997568\"] \n  19 -> 20 [size =\"37997568\"]\n  20 [size=\"110691840\", alpha=\"0.14\", expect_size=\"44276736\"] \n  20 -> 21 [size =\"44276736\"]\n  21 [size=\"110080000\", alpha=\"0.02\", expect_size=\"44032000\"] \n  21 -> 22 [size =\"44032000\"]\n  22 [size=\"60830720\", alpha=\"0.09\", expect_size=\"24332288\"] \n  22 -> 23 [size =\"24332288\"]\n  23 [size=\"109345280\", alpha=\"0.01\", expect_size=\"43738112\"] \n  23 -> 24 [size =\"43738112\"]\n  24 [size=\"79516160\", alpha=\"0.19\", expect_size=\"31806464\"] \n  24 -> 25 [size =\"31806464\"]\n  25 [size=\"111418880\", alpha=\"0.08\", expect_size=\"44567552\"] \n  25 -> 26 [size =\"44567552\"]\n  26 [size=\"14612480\", alpha=\"0.10\", expect_size=\"5844992\"] \n  26 -> 27 [size =\"5844992\"]\n  27 [size=\"108008960\", alpha=\"0.08\", expect_size=\"43203584\"] \n  27 -> 28 [size =\"43203584\"]\n  28 [size=\"34647040\", alpha=\"0.17\", expect_size=\"13858816\"] \n  28 -> 29 [size =\"13858816\"]\n  29 [size=\"97763840\", alpha=\"0.18\", expect_size=\"39105536\"] \n  29 -> 30 [size =\"39105536\"]\n  30 [size=\"81036800\", alpha=\"0.20\", expect_size=\"32414720\"] \n  30 -> 31 [size =\"32414720\"]\n  31 [size=\"45888000\", alpha=\"0.04\", expect_size=\"18355200\"] \n  31 -> 32 [size =\"18355200\"]\n  32 [size=\"55649280\", alpha=\"0.18\", expect_size=\"22259712\"] \n  32 -> 33 [size =\"22259712\"]\n  33 [size=\"109056000\", alpha=\"0.06\", expect_size=\"43622400\"] \n  33 -> 34 [size =\"43622400\"]\n  34 [size=\"116505600\", alpha=\"0.17\", expect_size=\"46602240\"] \n  34 -> 35 [size =\"46602240\"]\n  35 [size=\"113062400\", alpha=\"0.19\", expect_size=\"45224960\"] \n  35 -> 36 [size =\"45224960\"]\n  36 [size=\"39933440\", alpha=\"0.10\", expect_size=\"15973376\"] \n  36 -> 37 [size =\"15973376\"]\n  37 [size=\"98775040\", alpha=\"0.18\", expect_size=\"39510016\"] \n  37 -> 38 [size =\"39510016\"]\n  38 [size=\"27737600\", alpha=\"0.16\", expect_size=\"11095040\"] \n  38 -> 39 [size =\"11095040\"]\n  39 [size=\"128473600\", alpha=\"0.08\", expect_size=\"51389440\"] \n  39 -> 40 [size =\"51389440\"]\n  40 [size=\"119582720\", alpha=\"0.16\", expect_size=\"47833088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156917760\", alpha=\"0.09\", expect_size=\"47075328\"] \n  1 -> 2 [size =\"47075328\"]\n  2 [size=\"115865600\", alpha=\"0.17\", expect_size=\"34759680\"] \n  2 -> 3 [size =\"34759680\"]\n  3 [size=\"139666773\", alpha=\"0.20\", expect_size=\"41900032\"] \n  3 -> 4 [size =\"41900032\"]\n  4 [size=\"127153493\", alpha=\"0.13\", expect_size=\"38146048\"] \n  4 -> 5 [size =\"38146048\"]\n  5 [size=\"93426347\", alpha=\"0.07\", expect_size=\"28027904\"] \n  5 -> 6 [size =\"28027904\"]\n  6 [size=\"35915093\", alpha=\"0.12\", expect_size=\"10774528\"] \n  6 -> 7 [size =\"10774528\"]\n  7 [size=\"23743147\", alpha=\"0.12\", expect_size=\"7122944\"] \n  7 -> 8 [size =\"7122944\"]\n  8 [size=\"17735680\", alpha=\"0.09\", expect_size=\"5320704\"] \n  8 -> 9 [size =\"5320704\"]\n  9 [size=\"149575680\", alpha=\"0.03\", expect_size=\"44872704\"] \n  9 -> 10 [size =\"44872704\"]\n  10 [size=\"163358720\", alpha=\"0.17\", expect_size=\"49007616\"] \n  10 -> 11 [size =\"49007616\"]\n  11 [size=\"79834453\", alpha=\"0.05\", expect_size=\"23950336\"] \n  11 -> 12 [size =\"23950336\"]\n  12 [size=\"147210240\", alpha=\"0.00\", expect_size=\"44163072\"] \n  12 -> 13 [size =\"44163072\"]\n  13 [size=\"123299840\", alpha=\"0.12\", expect_size=\"36989952\"] \n  13 -> 14 [size =\"36989952\"]\n  14 [size=\"120125440\", alpha=\"0.04\", expect_size=\"36037632\"] \n  14 -> 15 [size =\"36037632\"]\n  15 [size=\"61668693\", alpha=\"0.11\", expect_size=\"18500608\"] \n  15 -> 16 [size =\"18500608\"]\n  16 [size=\"112820907\", alpha=\"0.00\", expect_size=\"33846272\"] \n  16 -> 17 [size =\"33846272\"]\n  17 [size=\"53531307\", alpha=\"0.12\", expect_size=\"16059392\"] \n  17 -> 18 [size =\"16059392\"]\n  18 [size=\"147626667\", alpha=\"0.02\", expect_size=\"44288000\"] \n  18 -> 19 [size =\"44288000\"]\n  19 [size=\"57285973\", alpha=\"0.16\", expect_size=\"17185792\"] \n  19 -> 20 [size =\"17185792\"]\n  20 [size=\"81462613\", alpha=\"0.03\", expect_size=\"24438784\"] \n  20 -> 21 [size =\"24438784\"]\n  21 [size=\"57395200\", alpha=\"0.08\", expect_size=\"17218560\"] \n  21 -> 22 [size =\"17218560\"]\n  22 [size=\"99853653\", alpha=\"0.06\", expect_size=\"29956096\"] \n  22 -> 23 [size =\"29956096\"]\n  23 [size=\"102929067\", alpha=\"0.20\", expect_size=\"30878720\"] \n  23 -> 24 [size =\"30878720\"]\n  24 [size=\"42868053\", alpha=\"0.07\", expect_size=\"12860416\"] \n  24 -> 25 [size =\"12860416\"]\n  25 [size=\"74752000\", alpha=\"0.04\", expect_size=\"22425600\"] \n  25 -> 26 [size =\"22425600\"]\n  26 [size=\"161041067\", alpha=\"0.03\", expect_size=\"48312320\"] \n  26 -> 27 [size =\"48312320\"]\n  27 [size=\"164386133\", alpha=\"0.03\", expect_size=\"49315840\"] \n  27 -> 28 [size =\"49315840\"]\n  28 [size=\"103208960\", alpha=\"0.03\", expect_size=\"30962688\"] \n  28 -> 29 [size =\"30962688\"]\n  29 [size=\"122617173\", alpha=\"0.20\", expect_size=\"36785152\"] \n  29 -> 30 [size =\"36785152\"]\n  30 [size=\"88773973\", alpha=\"0.15\", expect_size=\"26632192\"] \n  30 -> 31 [size =\"26632192\"]\n  31 [size=\"114036053\", alpha=\"0.19\", expect_size=\"34210816\"] \n  31 -> 32 [size =\"34210816\"]\n  32 [size=\"23272107\", alpha=\"0.19\", expect_size=\"6981632\"] \n  32 -> 33 [size =\"6981632\"]\n  33 [size=\"72164693\", alpha=\"0.12\", expect_size=\"21649408\"] \n  33 -> 34 [size =\"21649408\"]\n  34 [size=\"68328107\", alpha=\"0.18\", expect_size=\"20498432\"] \n  34 -> 35 [size =\"20498432\"]\n  35 [size=\"121439573\", alpha=\"0.10\", expect_size=\"36431872\"] \n  35 -> 36 [size =\"36431872\"]\n  36 [size=\"150166187\", alpha=\"0.14\", expect_size=\"45049856\"] \n  36 -> 37 [size =\"45049856\"]\n  37 [size=\"172946773\", alpha=\"0.03\", expect_size=\"51884032\"] \n  37 -> 38 [size =\"51884032\"]\n  38 [size=\"38768640\", alpha=\"0.08\", expect_size=\"11630592\"] \n  38 -> 39 [size =\"11630592\"]\n  39 [size=\"62457173\", alpha=\"0.18\", expect_size=\"18737152\"] \n  39 -> 40 [size =\"18737152\"]\n  40 [size=\"61545813\", alpha=\"0.17\", expect_size=\"18463744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174721707\", alpha=\"0.05\", expect_size=\"52416512\"] \n  1 -> 4 [size =\"52416512\"]\n  1 -> 5 [size =\"52416512\"]\n  1 -> 6 [size =\"52416512\"]\n  1 -> 8 [size =\"52416512\"]\n  1 -> 9 [size =\"52416512\"]\n  1 -> 10 [size =\"52416512\"]\n  2 [size=\"142025387\", alpha=\"0.09\", expect_size=\"42607616\"] \n  2 -> 4 [size =\"42607616\"]\n  2 -> 5 [size =\"42607616\"]\n  2 -> 6 [size =\"42607616\"]\n  3 [size=\"82421760\", alpha=\"0.14\", expect_size=\"24726528\"] \n  3 -> 4 [size =\"24726528\"]\n  3 -> 5 [size =\"24726528\"]\n  3 -> 7 [size =\"24726528\"]\n  4 [size=\"123204267\", alpha=\"0.16\", expect_size=\"36961280\"] \n  4 -> 11 [size =\"36961280\"]\n  4 -> 13 [size =\"36961280\"]\n  4 -> 14 [size =\"36961280\"]\n  4 -> 15 [size =\"36961280\"]\n  4 -> 16 [size =\"36961280\"]\n  4 -> 18 [size =\"36961280\"]\n  5 [size=\"144424960\", alpha=\"0.04\", expect_size=\"43327488\"] \n  5 -> 11 [size =\"43327488\"]\n  5 -> 12 [size =\"43327488\"]\n  5 -> 15 [size =\"43327488\"]\n  5 -> 16 [size =\"43327488\"]\n  6 [size=\"167744853\", alpha=\"0.12\", expect_size=\"50323456\"] \n  6 -> 11 [size =\"50323456\"]\n  6 -> 13 [size =\"50323456\"]\n  6 -> 16 [size =\"50323456\"]\n  6 -> 17 [size =\"50323456\"]\n  7 [size=\"133324800\", alpha=\"0.07\", expect_size=\"39997440\"] \n  7 -> 11 [size =\"39997440\"]\n  7 -> 13 [size =\"39997440\"]\n  7 -> 17 [size =\"39997440\"]\n  7 -> 18 [size =\"39997440\"]\n  8 [size=\"115865600\", alpha=\"0.07\", expect_size=\"34759680\"] \n  8 -> 12 [size =\"34759680\"]\n  8 -> 13 [size =\"34759680\"]\n  8 -> 15 [size =\"34759680\"]\n  8 -> 16 [size =\"34759680\"]\n  8 -> 17 [size =\"34759680\"]\n  8 -> 18 [size =\"34759680\"]\n  9 [size=\"65931947\", alpha=\"0.15\", expect_size=\"19779584\"] \n  9 -> 17 [size =\"19779584\"]\n  9 -> 18 [size =\"19779584\"]\n  10 [size=\"109004800\", alpha=\"0.10\", expect_size=\"32701440\"] \n  10 -> 11 [size =\"32701440\"]\n  10 -> 16 [size =\"32701440\"]\n  10 -> 18 [size =\"32701440\"]\n  11 [size=\"118664533\", alpha=\"0.17\", expect_size=\"35599360\"] \n  11 -> 22 [size =\"35599360\"]\n  12 [size=\"158955520\", alpha=\"0.09\", expect_size=\"47686656\"] \n  12 -> 22 [size =\"47686656\"]\n  12 -> 23 [size =\"47686656\"]\n  13 [size=\"70782293\", alpha=\"0.10\", expect_size=\"21234688\"] \n  13 -> 19 [size =\"21234688\"]\n  13 -> 20 [size =\"21234688\"]\n  13 -> 21 [size =\"21234688\"]\n  13 -> 23 [size =\"21234688\"]\n  14 [size=\"27289600\", alpha=\"0.17\", expect_size=\"8186880\"] \n  14 -> 19 [size =\"8186880\"]\n  14 -> 21 [size =\"8186880\"]\n  14 -> 22 [size =\"8186880\"]\n  15 [size=\"156808533\", alpha=\"0.15\", expect_size=\"47042560\"] \n  15 -> 19 [size =\"47042560\"]\n  15 -> 20 [size =\"47042560\"]\n  15 -> 22 [size =\"47042560\"]\n  15 -> 23 [size =\"47042560\"]\n  16 [size=\"28446720\", alpha=\"0.07\", expect_size=\"8534016\"] \n  16 -> 21 [size =\"8534016\"]\n  16 -> 22 [size =\"8534016\"]\n  16 -> 23 [size =\"8534016\"]\n  16 -> 23 [size =\"8534016\"]\n  17 [size=\"123767467\", alpha=\"0.14\", expect_size=\"37130240\"] \n  17 -> 19 [size =\"37130240\"]\n  17 -> 20 [size =\"37130240\"]\n  17 -> 23 [size =\"37130240\"]\n  18 [size=\"17981440\", alpha=\"0.19\", expect_size=\"5394432\"] \n  18 -> 20 [size =\"5394432\"]\n  18 -> 20 [size =\"5394432\"]\n  19 [size=\"73826987\", alpha=\"0.03\", expect_size=\"22148096\"] \n  19 -> 25 [size =\"22148096\"]\n  20 [size=\"31095467\", alpha=\"0.11\", expect_size=\"9328640\"] \n  20 -> 24 [size =\"9328640\"]\n  20 -> 26 [size =\"9328640\"]\n  21 [size=\"113445547\", alpha=\"0.19\", expect_size=\"34033664\"] \n  22 [size=\"93713067\", alpha=\"0.03\", expect_size=\"28113920\"] \n  22 -> 24 [size =\"28113920\"]\n  22 -> 27 [size =\"28113920\"]\n  23 [size=\"160955733\", alpha=\"0.16\", expect_size=\"48286720\"] \n  23 -> 26 [size =\"48286720\"]\n  23 -> 27 [size =\"48286720\"]\n  24 [size=\"84131840\", alpha=\"0.01\", expect_size=\"25239552\"] \n  24 -> 30 [size =\"25239552\"]\n  24 -> 31 [size =\"25239552\"]\n  25 [size=\"58115413\", alpha=\"0.03\", expect_size=\"17434624\"] \n  26 [size=\"18452480\", alpha=\"0.04\", expect_size=\"5535744\"] \n  26 -> 31 [size =\"5535744\"]\n  27 [size=\"75724800\", alpha=\"0.20\", expect_size=\"22717440\"] \n  27 -> 28 [size =\"22717440\"]\n  27 -> 29 [size =\"22717440\"]\n  27 -> 30 [size =\"22717440\"]\n  27 -> 31 [size =\"22717440\"]\n  28 [size=\"29265920\", alpha=\"0.08\", expect_size=\"8779776\"] \n  28 -> 33 [size =\"8779776\"]\n  29 [size=\"18264747\", alpha=\"0.03\", expect_size=\"5479424\"] \n  29 -> 32 [size =\"5479424\"]\n  29 -> 33 [size =\"5479424\"]\n  29 -> 34 [size =\"5479424\"]\n  29 -> 35 [size =\"5479424\"]\n  29 -> 36 [size =\"5479424\"]\n  29 -> 38 [size =\"5479424\"]\n  30 [size=\"40717653\", alpha=\"0.09\", expect_size=\"12215296\"] \n  30 -> 32 [size =\"12215296\"]\n  30 -> 33 [size =\"12215296\"]\n  30 -> 34 [size =\"12215296\"]\n  30 -> 35 [size =\"12215296\"]\n  30 -> 36 [size =\"12215296\"]\n  30 -> 37 [size =\"12215296\"]\n  31 [size=\"127672320\", alpha=\"0.07\", expect_size=\"38301696\"] \n  31 -> 32 [size =\"38301696\"]\n  31 -> 34 [size =\"38301696\"]\n  31 -> 35 [size =\"38301696\"]\n  31 -> 36 [size =\"38301696\"]\n  31 -> 38 [size =\"38301696\"]\n  32 [size=\"121801387\", alpha=\"0.04\", expect_size=\"36540416\"] \n  32 -> 39 [size =\"36540416\"]\n  33 [size=\"147657387\", alpha=\"0.08\", expect_size=\"44297216\"] \n  33 -> 40 [size =\"44297216\"]\n  34 [size=\"112902827\", alpha=\"0.13\", expect_size=\"33870848\"] \n  34 -> 39 [size =\"33870848\"]\n  35 [size=\"123265707\", alpha=\"0.16\", expect_size=\"36979712\"] \n  35 -> 39 [size =\"36979712\"]\n  36 [size=\"148411733\", alpha=\"0.20\", expect_size=\"44523520\"] \n  36 -> 39 [size =\"44523520\"]\n  37 [size=\"24040107\", alpha=\"0.17\", expect_size=\"7212032\"] \n  38 [size=\"23278933\", alpha=\"0.15\", expect_size=\"6983680\"] \n  38 -> 39 [size =\"6983680\"]\n  39 [size=\"87241387\", alpha=\"0.19\", expect_size=\"26172416\"] \n  40 [size=\"107096747\", alpha=\"0.06\", expect_size=\"32129024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65816576\", alpha=\"0.13\", expect_size=\"32908288\"] \n  1 -> 33 [size =\"32908288\"]\n  1 -> 34 [size =\"32908288\"]\n  1 -> 35 [size =\"32908288\"]\n  1 -> 39 [size =\"32908288\"]\n  2 [size=\"22927360\", alpha=\"0.03\", expect_size=\"11463680\"] \n  2 -> 33 [size =\"11463680\"]\n  2 -> 34 [size =\"11463680\"]\n  2 -> 35 [size =\"11463680\"]\n  2 -> 38 [size =\"11463680\"]\n  2 -> 39 [size =\"11463680\"]\n  2 -> 40 [size =\"11463680\"]\n  3 [size=\"20140032\", alpha=\"0.15\", expect_size=\"10070016\"] \n  3 -> 31 [size =\"10070016\"]\n  3 -> 33 [size =\"10070016\"]\n  3 -> 34 [size =\"10070016\"]\n  3 -> 35 [size =\"10070016\"]\n  3 -> 38 [size =\"10070016\"]\n  3 -> 39 [size =\"10070016\"]\n  3 -> 40 [size =\"10070016\"]\n  4 [size=\"20473856\", alpha=\"0.01\", expect_size=\"10236928\"] \n  4 -> 31 [size =\"10236928\"]\n  4 -> 33 [size =\"10236928\"]\n  4 -> 35 [size =\"10236928\"]\n  4 -> 36 [size =\"10236928\"]\n  4 -> 38 [size =\"10236928\"]\n  4 -> 39 [size =\"10236928\"]\n  4 -> 40 [size =\"10236928\"]\n  5 [size=\"46786560\", alpha=\"0.11\", expect_size=\"23393280\"] \n  5 -> 38 [size =\"23393280\"]\n  5 -> 40 [size =\"23393280\"]\n  6 [size=\"75345920\", alpha=\"0.13\", expect_size=\"37672960\"] \n  6 -> 31 [size =\"37672960\"]\n  6 -> 32 [size =\"37672960\"]\n  6 -> 33 [size =\"37672960\"]\n  6 -> 34 [size =\"37672960\"]\n  6 -> 36 [size =\"37672960\"]\n  6 -> 37 [size =\"37672960\"]\n  6 -> 38 [size =\"37672960\"]\n  6 -> 39 [size =\"37672960\"]\n  6 -> 40 [size =\"37672960\"]\n  7 [size=\"98820096\", alpha=\"0.01\", expect_size=\"49410048\"] \n  7 -> 37 [size =\"49410048\"]\n  7 -> 40 [size =\"49410048\"]\n  8 [size=\"74561536\", alpha=\"0.11\", expect_size=\"37280768\"] \n  8 -> 33 [size =\"37280768\"]\n  8 -> 35 [size =\"37280768\"]\n  8 -> 38 [size =\"37280768\"]\n  8 -> 40 [size =\"37280768\"]\n  9 [size=\"23130112\", alpha=\"0.20\", expect_size=\"11565056\"] \n  9 -> 33 [size =\"11565056\"]\n  9 -> 34 [size =\"11565056\"]\n  9 -> 35 [size =\"11565056\"]\n  9 -> 38 [size =\"11565056\"]\n  9 -> 39 [size =\"11565056\"]\n  9 -> 40 [size =\"11565056\"]\n  10 [size=\"31907840\", alpha=\"0.14\", expect_size=\"15953920\"] \n  10 -> 33 [size =\"15953920\"]\n  10 -> 36 [size =\"15953920\"]\n  10 -> 38 [size =\"15953920\"]\n  10 -> 38 [size =\"15953920\"]\n  10 -> 39 [size =\"15953920\"]\n  10 -> 40 [size =\"15953920\"]\n  11 [size=\"79439872\", alpha=\"0.05\", expect_size=\"39719936\"] \n  11 -> 31 [size =\"39719936\"]\n  11 -> 33 [size =\"39719936\"]\n  11 -> 36 [size =\"39719936\"]\n  11 -> 38 [size =\"39719936\"]\n  11 -> 40 [size =\"39719936\"]\n  11 -> 40 [size =\"39719936\"]\n  12 [size=\"45068288\", alpha=\"0.15\", expect_size=\"22534144\"] \n  12 -> 33 [size =\"22534144\"]\n  12 -> 33 [size =\"22534144\"]\n  12 -> 35 [size =\"22534144\"]\n  12 -> 36 [size =\"22534144\"]\n  12 -> 37 [size =\"22534144\"]\n  12 -> 38 [size =\"22534144\"]\n  12 -> 40 [size =\"22534144\"]\n  13 [size=\"58660864\", alpha=\"0.05\", expect_size=\"29330432\"] \n  13 -> 33 [size =\"29330432\"]\n  13 -> 35 [size =\"29330432\"]\n  13 -> 35 [size =\"29330432\"]\n  13 -> 36 [size =\"29330432\"]\n  13 -> 38 [size =\"29330432\"]\n  14 [size=\"36581376\", alpha=\"0.02\", expect_size=\"18290688\"] \n  14 -> 34 [size =\"18290688\"]\n  14 -> 38 [size =\"18290688\"]\n  15 [size=\"39593984\", alpha=\"0.11\", expect_size=\"19796992\"] \n  15 -> 34 [size =\"19796992\"]\n  15 -> 35 [size =\"19796992\"]\n  15 -> 36 [size =\"19796992\"]\n  15 -> 38 [size =\"19796992\"]\n  15 -> 40 [size =\"19796992\"]\n  16 [size=\"93693952\", alpha=\"0.05\", expect_size=\"46846976\"] \n  16 -> 34 [size =\"46846976\"]\n  16 -> 40 [size =\"46846976\"]\n  17 [size=\"58851328\", alpha=\"0.15\", expect_size=\"29425664\"] \n  17 -> 32 [size =\"29425664\"]\n  17 -> 33 [size =\"29425664\"]\n  17 -> 34 [size =\"29425664\"]\n  17 -> 38 [size =\"29425664\"]\n  17 -> 39 [size =\"29425664\"]\n  17 -> 40 [size =\"29425664\"]\n  18 [size=\"65421312\", alpha=\"0.06\", expect_size=\"32710656\"] \n  18 -> 33 [size =\"32710656\"]\n  18 -> 33 [size =\"32710656\"]\n  18 -> 34 [size =\"32710656\"]\n  18 -> 35 [size =\"32710656\"]\n  18 -> 38 [size =\"32710656\"]\n  18 -> 39 [size =\"32710656\"]\n  18 -> 40 [size =\"32710656\"]\n  19 [size=\"22052864\", alpha=\"0.10\", expect_size=\"11026432\"] \n  19 -> 33 [size =\"11026432\"]\n  19 -> 34 [size =\"11026432\"]\n  19 -> 34 [size =\"11026432\"]\n  19 -> 35 [size =\"11026432\"]\n  19 -> 38 [size =\"11026432\"]\n  19 -> 39 [size =\"11026432\"]\n  19 -> 40 [size =\"11026432\"]\n  20 [size=\"20455424\", alpha=\"0.19\", expect_size=\"10227712\"] \n  20 -> 33 [size =\"10227712\"]\n  20 -> 34 [size =\"10227712\"]\n  20 -> 35 [size =\"10227712\"]\n  20 -> 37 [size =\"10227712\"]\n  20 -> 38 [size =\"10227712\"]\n  20 -> 39 [size =\"10227712\"]\n  20 -> 40 [size =\"10227712\"]\n  21 [size=\"88506368\", alpha=\"0.19\", expect_size=\"44253184\"] \n  21 -> 33 [size =\"44253184\"]\n  21 -> 34 [size =\"44253184\"]\n  21 -> 35 [size =\"44253184\"]\n  21 -> 39 [size =\"44253184\"]\n  21 -> 40 [size =\"44253184\"]\n  22 [size=\"15554560\", alpha=\"0.02\", expect_size=\"7777280\"] \n  22 -> 33 [size =\"7777280\"]\n  22 -> 39 [size =\"7777280\"]\n  22 -> 40 [size =\"7777280\"]\n  23 [size=\"84926464\", alpha=\"0.07\", expect_size=\"42463232\"] \n  23 -> 33 [size =\"42463232\"]\n  23 -> 35 [size =\"42463232\"]\n  23 -> 39 [size =\"42463232\"]\n  23 -> 40 [size =\"42463232\"]\n  24 [size=\"13629440\", alpha=\"0.14\", expect_size=\"6814720\"] \n  24 -> 33 [size =\"6814720\"]\n  24 -> 40 [size =\"6814720\"]\n  25 [size=\"21848064\", alpha=\"0.08\", expect_size=\"10924032\"] \n  25 -> 33 [size =\"10924032\"]\n  26 [size=\"76109824\", alpha=\"0.17\", expect_size=\"38054912\"] \n  26 -> 33 [size =\"38054912\"]\n  26 -> 35 [size =\"38054912\"]\n  26 -> 36 [size =\"38054912\"]\n  26 -> 37 [size =\"38054912\"]\n  26 -> 38 [size =\"38054912\"]\n  27 [size=\"101232640\", alpha=\"0.04\", expect_size=\"50616320\"] \n  27 -> 33 [size =\"50616320\"]\n  27 -> 38 [size =\"50616320\"]\n  28 [size=\"79187968\", alpha=\"0.05\", expect_size=\"39593984\"] \n  28 -> 33 [size =\"39593984\"]\n  28 -> 35 [size =\"39593984\"]\n  28 -> 36 [size =\"39593984\"]\n  28 -> 37 [size =\"39593984\"]\n  28 -> 38 [size =\"39593984\"]\n  29 [size=\"14692352\", alpha=\"0.08\", expect_size=\"7346176\"] \n  29 -> 33 [size =\"7346176\"]\n  29 -> 34 [size =\"7346176\"]\n  29 -> 35 [size =\"7346176\"]\n  29 -> 38 [size =\"7346176\"]\n  29 -> 39 [size =\"7346176\"]\n  30 [size=\"63602688\", alpha=\"0.16\", expect_size=\"31801344\"] \n  30 -> 33 [size =\"31801344\"]\n  30 -> 34 [size =\"31801344\"]\n  30 -> 36 [size =\"31801344\"]\n  30 -> 38 [size =\"31801344\"]\n  30 -> 39 [size =\"31801344\"]\n  31 [size=\"58007552\", alpha=\"0.18\", expect_size=\"29003776\"] \n  32 [size=\"53237760\", alpha=\"0.08\", expect_size=\"26618880\"] \n  33 [size=\"61736960\", alpha=\"0.08\", expect_size=\"30868480\"] \n  34 [size=\"93159424\", alpha=\"0.14\", expect_size=\"46579712\"] \n  35 [size=\"63123456\", alpha=\"0.06\", expect_size=\"31561728\"] \n  36 [size=\"102303744\", alpha=\"0.15\", expect_size=\"51151872\"] \n  37 [size=\"86816768\", alpha=\"0.15\", expect_size=\"43408384\"] \n  38 [size=\"10627072\", alpha=\"0.06\", expect_size=\"5313536\"] \n  39 [size=\"32180224\", alpha=\"0.20\", expect_size=\"16090112\"] \n  40 [size=\"69752832\", alpha=\"0.16\", expect_size=\"34876416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116864000\", alpha=\"0.09\", expect_size=\"46745600\"] \n  2 [size=\"40176640\", alpha=\"0.19\", expect_size=\"16070656\"] \n  2 -> 7 [size =\"16070656\"]\n  2 -> 8 [size =\"16070656\"]\n  3 [size=\"83494400\", alpha=\"0.20\", expect_size=\"33397760\"] \n  3 -> 6 [size =\"33397760\"]\n  3 -> 7 [size =\"33397760\"]\n  3 -> 8 [size =\"33397760\"]\n  4 [size=\"123978240\", alpha=\"0.00\", expect_size=\"49591296\"] \n  4 -> 5 [size =\"49591296\"]\n  4 -> 6 [size =\"49591296\"]\n  4 -> 7 [size =\"49591296\"]\n  5 [size=\"22003200\", alpha=\"0.14\", expect_size=\"8801280\"] \n  5 -> 9 [size =\"8801280\"]\n  5 -> 10 [size =\"8801280\"]\n  6 [size=\"57981440\", alpha=\"0.13\", expect_size=\"23192576\"] \n  7 [size=\"38448640\", alpha=\"0.06\", expect_size=\"15379456\"] \n  7 -> 9 [size =\"15379456\"]\n  8 [size=\"98539520\", alpha=\"0.01\", expect_size=\"39415808\"] \n  9 [size=\"67960320\", alpha=\"0.05\", expect_size=\"27184128\"] \n  9 -> 12 [size =\"27184128\"]\n  10 [size=\"102538240\", alpha=\"0.18\", expect_size=\"41015296\"] \n  10 -> 11 [size =\"41015296\"]\n  10 -> 12 [size =\"41015296\"]\n  10 -> 13 [size =\"41015296\"]\n  11 [size=\"60702720\", alpha=\"0.06\", expect_size=\"24281088\"] \n  11 -> 14 [size =\"24281088\"]\n  11 -> 15 [size =\"24281088\"]\n  11 -> 16 [size =\"24281088\"]\n  12 [size=\"113615360\", alpha=\"0.08\", expect_size=\"45446144\"] \n  12 -> 14 [size =\"45446144\"]\n  12 -> 15 [size =\"45446144\"]\n  13 [size=\"109987840\", alpha=\"0.11\", expect_size=\"43995136\"] \n  14 [size=\"109196800\", alpha=\"0.12\", expect_size=\"43678720\"] \n  14 -> 19 [size =\"43678720\"]\n  15 [size=\"111685120\", alpha=\"0.04\", expect_size=\"44674048\"] \n  15 -> 17 [size =\"44674048\"]\n  15 -> 18 [size =\"44674048\"]\n  16 [size=\"75714560\", alpha=\"0.18\", expect_size=\"30285824\"] \n  16 -> 19 [size =\"30285824\"]\n  17 [size=\"35097600\", alpha=\"0.16\", expect_size=\"14039040\"] \n  17 -> 20 [size =\"14039040\"]\n  17 -> 22 [size =\"14039040\"]\n  18 [size=\"71536640\", alpha=\"0.05\", expect_size=\"28614656\"] \n  18 -> 20 [size =\"28614656\"]\n  18 -> 21 [size =\"28614656\"]\n  18 -> 22 [size =\"28614656\"]\n  19 [size=\"77158400\", alpha=\"0.09\", expect_size=\"30863360\"] \n  20 [size=\"105088000\", alpha=\"0.11\", expect_size=\"42035200\"] \n  20 -> 25 [size =\"42035200\"]\n  21 [size=\"92628480\", alpha=\"0.12\", expect_size=\"37051392\"] \n  21 -> 23 [size =\"37051392\"]\n  21 -> 24 [size =\"37051392\"]\n  22 [size=\"129966080\", alpha=\"0.16\", expect_size=\"51986432\"] \n  23 [size=\"60613120\", alpha=\"0.13\", expect_size=\"24245248\"] \n  23 -> 26 [size =\"24245248\"]\n  23 -> 28 [size =\"24245248\"]\n  24 [size=\"124572160\", alpha=\"0.09\", expect_size=\"49828864\"] \n  24 -> 27 [size =\"49828864\"]\n  25 [size=\"74675200\", alpha=\"0.06\", expect_size=\"29870080\"] \n  25 -> 26 [size =\"29870080\"]\n  25 -> 27 [size =\"29870080\"]\n  26 [size=\"98263040\", alpha=\"0.10\", expect_size=\"39305216\"] \n  27 [size=\"85304320\", alpha=\"0.19\", expect_size=\"34121728\"] \n  28 [size=\"59153920\", alpha=\"0.03\", expect_size=\"23661568\"] \n  28 -> 29 [size =\"23661568\"]\n  28 -> 30 [size =\"23661568\"]\n  29 [size=\"88332800\", alpha=\"0.15\", expect_size=\"35333120\"] \n  29 -> 31 [size =\"35333120\"]\n  29 -> 32 [size =\"35333120\"]\n  30 [size=\"22069760\", alpha=\"0.03\", expect_size=\"8827904\"] \n  30 -> 32 [size =\"8827904\"]\n  31 [size=\"89182720\", alpha=\"0.19\", expect_size=\"35673088\"] \n  31 -> 34 [size =\"35673088\"]\n  31 -> 36 [size =\"35673088\"]\n  32 [size=\"39531520\", alpha=\"0.12\", expect_size=\"15812608\"] \n  32 -> 33 [size =\"15812608\"]\n  32 -> 34 [size =\"15812608\"]\n  32 -> 35 [size =\"15812608\"]\n  33 [size=\"18150400\", alpha=\"0.02\", expect_size=\"7260160\"] \n  33 -> 38 [size =\"7260160\"]\n  34 [size=\"95434240\", alpha=\"0.07\", expect_size=\"38173696\"] \n  35 [size=\"28359680\", alpha=\"0.10\", expect_size=\"11343872\"] \n  35 -> 37 [size =\"11343872\"]\n  36 [size=\"61749760\", alpha=\"0.03\", expect_size=\"24699904\"] \n  36 -> 39 [size =\"24699904\"]\n  37 [size=\"122519040\", alpha=\"0.20\", expect_size=\"49007616\"] \n  37 -> 40 [size =\"49007616\"]\n  38 [size=\"118044160\", alpha=\"0.06\", expect_size=\"47217664\"] \n  39 [size=\"15795200\", alpha=\"0.04\", expect_size=\"6318080\"] \n  40 [size=\"106557440\", alpha=\"0.17\", expect_size=\"42622976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42011307\", alpha=\"0.06\", expect_size=\"12603392\"] \n  1 -> 2 [size =\"12603392\"]\n  2 [size=\"35123200\", alpha=\"0.04\", expect_size=\"10536960\"] \n  2 -> 3 [size =\"10536960\"]\n  3 [size=\"88043520\", alpha=\"0.19\", expect_size=\"26413056\"] \n  3 -> 4 [size =\"26413056\"]\n  4 [size=\"162932053\", alpha=\"0.14\", expect_size=\"48879616\"] \n  4 -> 5 [size =\"48879616\"]\n  5 [size=\"120698880\", alpha=\"0.17\", expect_size=\"36209664\"] \n  5 -> 6 [size =\"36209664\"]\n  6 [size=\"118439253\", alpha=\"0.07\", expect_size=\"35531776\"] \n  6 -> 7 [size =\"35531776\"]\n  7 [size=\"119060480\", alpha=\"0.07\", expect_size=\"35718144\"] \n  7 -> 8 [size =\"35718144\"]\n  8 [size=\"104983893\", alpha=\"0.00\", expect_size=\"31495168\"] \n  8 -> 9 [size =\"31495168\"]\n  9 [size=\"59634347\", alpha=\"0.11\", expect_size=\"17890304\"] \n  9 -> 10 [size =\"17890304\"]\n  10 [size=\"174749013\", alpha=\"0.18\", expect_size=\"52424704\"] \n  10 -> 11 [size =\"52424704\"]\n  11 [size=\"27245227\", alpha=\"0.12\", expect_size=\"8173568\"] \n  11 -> 12 [size =\"8173568\"]\n  12 [size=\"78032213\", alpha=\"0.11\", expect_size=\"23409664\"] \n  12 -> 13 [size =\"23409664\"]\n  13 [size=\"106758827\", alpha=\"0.06\", expect_size=\"32027648\"] \n  13 -> 14 [size =\"32027648\"]\n  14 [size=\"96907947\", alpha=\"0.06\", expect_size=\"29072384\"] \n  14 -> 15 [size =\"29072384\"]\n  15 [size=\"45830827\", alpha=\"0.05\", expect_size=\"13749248\"] \n  15 -> 16 [size =\"13749248\"]\n  16 [size=\"22801067\", alpha=\"0.03\", expect_size=\"6840320\"] \n  16 -> 17 [size =\"6840320\"]\n  17 [size=\"76977493\", alpha=\"0.08\", expect_size=\"23093248\"] \n  17 -> 18 [size =\"23093248\"]\n  18 [size=\"131741013\", alpha=\"0.15\", expect_size=\"39522304\"] \n  18 -> 19 [size =\"39522304\"]\n  19 [size=\"133638827\", alpha=\"0.09\", expect_size=\"40091648\"] \n  19 -> 20 [size =\"40091648\"]\n  20 [size=\"63327573\", alpha=\"0.18\", expect_size=\"18998272\"] \n  20 -> 21 [size =\"18998272\"]\n  21 [size=\"51394560\", alpha=\"0.11\", expect_size=\"15418368\"] \n  21 -> 22 [size =\"15418368\"]\n  22 [size=\"146800640\", alpha=\"0.05\", expect_size=\"44040192\"] \n  22 -> 23 [size =\"44040192\"]\n  23 [size=\"73960107\", alpha=\"0.09\", expect_size=\"22188032\"] \n  23 -> 24 [size =\"22188032\"]\n  24 [size=\"117626880\", alpha=\"0.12\", expect_size=\"35288064\"] \n  24 -> 25 [size =\"35288064\"]\n  25 [size=\"166287360\", alpha=\"0.07\", expect_size=\"49886208\"] \n  25 -> 26 [size =\"49886208\"]\n  26 [size=\"46363307\", alpha=\"0.15\", expect_size=\"13908992\"] \n  26 -> 27 [size =\"13908992\"]\n  27 [size=\"68696747\", alpha=\"0.17\", expect_size=\"20609024\"] \n  27 -> 28 [size =\"20609024\"]\n  28 [size=\"135062187\", alpha=\"0.09\", expect_size=\"40518656\"] \n  28 -> 29 [size =\"40518656\"]\n  29 [size=\"96232107\", alpha=\"0.07\", expect_size=\"28869632\"] \n  29 -> 30 [size =\"28869632\"]\n  30 [size=\"163382613\", alpha=\"0.04\", expect_size=\"49014784\"] \n  30 -> 31 [size =\"49014784\"]\n  31 [size=\"147896320\", alpha=\"0.03\", expect_size=\"44368896\"] \n  31 -> 32 [size =\"44368896\"]\n  32 [size=\"74304853\", alpha=\"0.10\", expect_size=\"22291456\"] \n  32 -> 33 [size =\"22291456\"]\n  33 [size=\"117548373\", alpha=\"0.08\", expect_size=\"35264512\"] \n  33 -> 34 [size =\"35264512\"]\n  34 [size=\"33621333\", alpha=\"0.16\", expect_size=\"10086400\"] \n  34 -> 35 [size =\"10086400\"]\n  35 [size=\"125265920\", alpha=\"0.08\", expect_size=\"37579776\"] \n  35 -> 36 [size =\"37579776\"]\n  36 [size=\"23848960\", alpha=\"0.00\", expect_size=\"7154688\"] \n  36 -> 37 [size =\"7154688\"]\n  37 [size=\"144899413\", alpha=\"0.20\", expect_size=\"43469824\"] \n  37 -> 38 [size =\"43469824\"]\n  38 [size=\"118152533\", alpha=\"0.14\", expect_size=\"35445760\"] \n  38 -> 39 [size =\"35445760\"]\n  39 [size=\"31115947\", alpha=\"0.04\", expect_size=\"9334784\"] \n  39 -> 40 [size =\"9334784\"]\n  40 [size=\"83234133\", alpha=\"0.19\", expect_size=\"24970240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55821653\", alpha=\"0.01\", expect_size=\"16746496\"] \n  1 -> 7 [size =\"16746496\"]\n  1 -> 8 [size =\"16746496\"]\n  2 [size=\"106987520\", alpha=\"0.09\", expect_size=\"32096256\"] \n  2 -> 6 [size =\"32096256\"]\n  2 -> 7 [size =\"32096256\"]\n  3 [size=\"56337067\", alpha=\"0.17\", expect_size=\"16901120\"] \n  3 -> 10 [size =\"16901120\"]\n  4 [size=\"150289067\", alpha=\"0.02\", expect_size=\"45086720\"] \n  4 -> 6 [size =\"45086720\"]\n  4 -> 9 [size =\"45086720\"]\n  5 [size=\"71195307\", alpha=\"0.02\", expect_size=\"21358592\"] \n  5 -> 8 [size =\"21358592\"]\n  5 -> 9 [size =\"21358592\"]\n  6 [size=\"18647040\", alpha=\"0.01\", expect_size=\"5594112\"] \n  6 -> 13 [size =\"5594112\"]\n  6 -> 14 [size =\"5594112\"]\n  6 -> 15 [size =\"5594112\"]\n  7 [size=\"147244373\", alpha=\"0.00\", expect_size=\"44173312\"] \n  7 -> 11 [size =\"44173312\"]\n  7 -> 12 [size =\"44173312\"]\n  7 -> 14 [size =\"44173312\"]\n  8 [size=\"101867520\", alpha=\"0.08\", expect_size=\"30560256\"] \n  8 -> 12 [size =\"30560256\"]\n  8 -> 14 [size =\"30560256\"]\n  9 [size=\"111892480\", alpha=\"0.12\", expect_size=\"33567744\"] \n  9 -> 11 [size =\"33567744\"]\n  10 [size=\"123357867\", alpha=\"0.17\", expect_size=\"37007360\"] \n  10 -> 11 [size =\"37007360\"]\n  10 -> 13 [size =\"37007360\"]\n  11 [size=\"20169387\", alpha=\"0.02\", expect_size=\"6050816\"] \n  11 -> 19 [size =\"6050816\"]\n  12 [size=\"28996267\", alpha=\"0.20\", expect_size=\"8698880\"] \n  12 -> 18 [size =\"8698880\"]\n  12 -> 20 [size =\"8698880\"]\n  13 [size=\"97860267\", alpha=\"0.04\", expect_size=\"29358080\"] \n  13 -> 16 [size =\"29358080\"]\n  13 -> 17 [size =\"29358080\"]\n  14 [size=\"71693653\", alpha=\"0.14\", expect_size=\"21508096\"] \n  14 -> 16 [size =\"21508096\"]\n  14 -> 17 [size =\"21508096\"]\n  14 -> 19 [size =\"21508096\"]\n  15 [size=\"88586240\", alpha=\"0.15\", expect_size=\"26575872\"] \n  15 -> 19 [size =\"26575872\"]\n  15 -> 20 [size =\"26575872\"]\n  16 [size=\"105837227\", alpha=\"0.14\", expect_size=\"31751168\"] \n  16 -> 21 [size =\"31751168\"]\n  16 -> 24 [size =\"31751168\"]\n  17 [size=\"116534613\", alpha=\"0.18\", expect_size=\"34960384\"] \n  18 [size=\"118336853\", alpha=\"0.07\", expect_size=\"35501056\"] \n  18 -> 23 [size =\"35501056\"]\n  19 [size=\"24941227\", alpha=\"0.20\", expect_size=\"7482368\"] \n  19 -> 22 [size =\"7482368\"]\n  19 -> 24 [size =\"7482368\"]\n  19 -> 25 [size =\"7482368\"]\n  20 [size=\"116534613\", alpha=\"0.13\", expect_size=\"34960384\"] \n  21 [size=\"93235200\", alpha=\"0.12\", expect_size=\"27970560\"] \n  21 -> 29 [size =\"27970560\"]\n  21 -> 30 [size =\"27970560\"]\n  22 [size=\"106175147\", alpha=\"0.02\", expect_size=\"31852544\"] \n  22 -> 26 [size =\"31852544\"]\n  22 -> 28 [size =\"31852544\"]\n  22 -> 29 [size =\"31852544\"]\n  23 [size=\"104516267\", alpha=\"0.17\", expect_size=\"31354880\"] \n  23 -> 27 [size =\"31354880\"]\n  23 -> 28 [size =\"31354880\"]\n  24 [size=\"137704107\", alpha=\"0.09\", expect_size=\"41311232\"] \n  24 -> 29 [size =\"41311232\"]\n  25 [size=\"91129173\", alpha=\"0.08\", expect_size=\"27338752\"] \n  25 -> 30 [size =\"27338752\"]\n  26 [size=\"51759787\", alpha=\"0.07\", expect_size=\"15527936\"] \n  26 -> 33 [size =\"15527936\"]\n  26 -> 34 [size =\"15527936\"]\n  27 [size=\"163560107\", alpha=\"0.02\", expect_size=\"49068032\"] \n  27 -> 31 [size =\"49068032\"]\n  27 -> 34 [size =\"49068032\"]\n  27 -> 35 [size =\"49068032\"]\n  28 [size=\"149176320\", alpha=\"0.08\", expect_size=\"44752896\"] \n  28 -> 35 [size =\"44752896\"]\n  29 [size=\"46250667\", alpha=\"0.06\", expect_size=\"13875200\"] \n  29 -> 33 [size =\"13875200\"]\n  30 [size=\"42478933\", alpha=\"0.18\", expect_size=\"12743680\"] \n  30 -> 32 [size =\"12743680\"]\n  30 -> 33 [size =\"12743680\"]\n  31 [size=\"147322880\", alpha=\"0.10\", expect_size=\"44196864\"] \n  31 -> 39 [size =\"44196864\"]\n  32 [size=\"84558507\", alpha=\"0.03\", expect_size=\"25367552\"] \n  32 -> 40 [size =\"25367552\"]\n  33 [size=\"100980053\", alpha=\"0.07\", expect_size=\"30294016\"] \n  33 -> 37 [size =\"30294016\"]\n  33 -> 38 [size =\"30294016\"]\n  33 -> 39 [size =\"30294016\"]\n  34 [size=\"78165333\", alpha=\"0.17\", expect_size=\"23449600\"] \n  34 -> 36 [size =\"23449600\"]\n  34 -> 38 [size =\"23449600\"]\n  35 [size=\"148930560\", alpha=\"0.17\", expect_size=\"44679168\"] \n  36 [size=\"52418560\", alpha=\"0.08\", expect_size=\"15725568\"] \n  37 [size=\"104379733\", alpha=\"0.11\", expect_size=\"31313920\"] \n  38 [size=\"120009387\", alpha=\"0.07\", expect_size=\"36002816\"] \n  39 [size=\"26415787\", alpha=\"0.04\", expect_size=\"7924736\"] \n  40 [size=\"75301547\", alpha=\"0.14\", expect_size=\"22590464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164051627\", alpha=\"0.19\", expect_size=\"49215488\"] \n  1 -> 20 [size =\"49215488\"]\n  1 -> 25 [size =\"49215488\"]\n  1 -> 28 [size =\"49215488\"]\n  2 [size=\"45885440\", alpha=\"0.09\", expect_size=\"13765632\"] \n  2 -> 20 [size =\"13765632\"]\n  2 -> 23 [size =\"13765632\"]\n  2 -> 26 [size =\"13765632\"]\n  2 -> 32 [size =\"13765632\"]\n  2 -> 33 [size =\"13765632\"]\n  2 -> 34 [size =\"13765632\"]\n  3 [size=\"100051627\", alpha=\"0.02\", expect_size=\"30015488\"] \n  3 -> 19 [size =\"30015488\"]\n  3 -> 20 [size =\"30015488\"]\n  3 -> 26 [size =\"30015488\"]\n  3 -> 30 [size =\"30015488\"]\n  3 -> 31 [size =\"30015488\"]\n  3 -> 32 [size =\"30015488\"]\n  3 -> 34 [size =\"30015488\"]\n  3 -> 35 [size =\"30015488\"]\n  3 -> 37 [size =\"30015488\"]\n  4 [size=\"136912213\", alpha=\"0.17\", expect_size=\"41073664\"] \n  4 -> 19 [size =\"41073664\"]\n  4 -> 20 [size =\"41073664\"]\n  4 -> 27 [size =\"41073664\"]\n  4 -> 28 [size =\"41073664\"]\n  4 -> 29 [size =\"41073664\"]\n  4 -> 34 [size =\"41073664\"]\n  4 -> 35 [size =\"41073664\"]\n  4 -> 36 [size =\"41073664\"]\n  4 -> 37 [size =\"41073664\"]\n  5 [size=\"136427520\", alpha=\"0.06\", expect_size=\"40928256\"] \n  5 -> 25 [size =\"40928256\"]\n  5 -> 27 [size =\"40928256\"]\n  5 -> 31 [size =\"40928256\"]\n  5 -> 34 [size =\"40928256\"]\n  5 -> 35 [size =\"40928256\"]\n  5 -> 36 [size =\"40928256\"]\n  6 [size=\"153248427\", alpha=\"0.08\", expect_size=\"45974528\"] \n  6 -> 19 [size =\"45974528\"]\n  6 -> 24 [size =\"45974528\"]\n  6 -> 27 [size =\"45974528\"]\n  6 -> 35 [size =\"45974528\"]\n  7 [size=\"71055360\", alpha=\"0.08\", expect_size=\"21316608\"] \n  7 -> 29 [size =\"21316608\"]\n  7 -> 31 [size =\"21316608\"]\n  7 -> 37 [size =\"21316608\"]\n  8 [size=\"166195200\", alpha=\"0.08\", expect_size=\"49858560\"] \n  8 -> 19 [size =\"49858560\"]\n  8 -> 21 [size =\"49858560\"]\n  8 -> 30 [size =\"49858560\"]\n  9 [size=\"79691093\", alpha=\"0.03\", expect_size=\"23907328\"] \n  9 -> 19 [size =\"23907328\"]\n  9 -> 21 [size =\"23907328\"]\n  9 -> 22 [size =\"23907328\"]\n  9 -> 24 [size =\"23907328\"]\n  9 -> 26 [size =\"23907328\"]\n  9 -> 28 [size =\"23907328\"]\n  9 -> 32 [size =\"23907328\"]\n  9 -> 33 [size =\"23907328\"]\n  9 -> 34 [size =\"23907328\"]\n  10 [size=\"118603093\", alpha=\"0.02\", expect_size=\"35580928\"] \n  10 -> 19 [size =\"35580928\"]\n  10 -> 22 [size =\"35580928\"]\n  10 -> 22 [size =\"35580928\"]\n  10 -> 25 [size =\"35580928\"]\n  10 -> 26 [size =\"35580928\"]\n  10 -> 32 [size =\"35580928\"]\n  11 [size=\"103830187\", alpha=\"0.07\", expect_size=\"31149056\"] \n  11 -> 22 [size =\"31149056\"]\n  11 -> 23 [size =\"31149056\"]\n  11 -> 24 [size =\"31149056\"]\n  12 [size=\"97744213\", alpha=\"0.06\", expect_size=\"29323264\"] \n  12 -> 20 [size =\"29323264\"]\n  12 -> 25 [size =\"29323264\"]\n  12 -> 27 [size =\"29323264\"]\n  12 -> 29 [size =\"29323264\"]\n  12 -> 33 [size =\"29323264\"]\n  13 [size=\"167045120\", alpha=\"0.02\", expect_size=\"50113536\"] \n  13 -> 29 [size =\"50113536\"]\n  13 -> 31 [size =\"50113536\"]\n  13 -> 33 [size =\"50113536\"]\n  13 -> 34 [size =\"50113536\"]\n  14 [size=\"22896640\", alpha=\"0.09\", expect_size=\"6868992\"] \n  14 -> 19 [size =\"6868992\"]\n  14 -> 23 [size =\"6868992\"]\n  14 -> 26 [size =\"6868992\"]\n  14 -> 31 [size =\"6868992\"]\n  14 -> 33 [size =\"6868992\"]\n  14 -> 37 [size =\"6868992\"]\n  15 [size=\"155293013\", alpha=\"0.03\", expect_size=\"46587904\"] \n  15 -> 19 [size =\"46587904\"]\n  15 -> 21 [size =\"46587904\"]\n  15 -> 22 [size =\"46587904\"]\n  15 -> 25 [size =\"46587904\"]\n  15 -> 26 [size =\"46587904\"]\n  15 -> 30 [size =\"46587904\"]\n  15 -> 31 [size =\"46587904\"]\n  15 -> 33 [size =\"46587904\"]\n  15 -> 35 [size =\"46587904\"]\n  15 -> 36 [size =\"46587904\"]\n  16 [size=\"42321920\", alpha=\"0.05\", expect_size=\"12696576\"] \n  16 -> 25 [size =\"12696576\"]\n  16 -> 26 [size =\"12696576\"]\n  16 -> 34 [size =\"12696576\"]\n  16 -> 35 [size =\"12696576\"]\n  17 [size=\"102202027\", alpha=\"0.11\", expect_size=\"30660608\"] \n  17 -> 20 [size =\"30660608\"]\n  17 -> 26 [size =\"30660608\"]\n  17 -> 28 [size =\"30660608\"]\n  17 -> 30 [size =\"30660608\"]\n  17 -> 34 [size =\"30660608\"]\n  17 -> 37 [size =\"30660608\"]\n  18 [size=\"167990613\", alpha=\"0.10\", expect_size=\"50397184\"] \n  18 -> 28 [size =\"50397184\"]\n  19 [size=\"74813440\", alpha=\"0.11\", expect_size=\"22444032\"] \n  19 -> 39 [size =\"22444032\"]\n  20 [size=\"94955520\", alpha=\"0.10\", expect_size=\"28486656\"] \n  21 [size=\"112855040\", alpha=\"0.08\", expect_size=\"33856512\"] \n  21 -> 38 [size =\"33856512\"]\n  21 -> 39 [size =\"33856512\"]\n  22 [size=\"169198933\", alpha=\"0.09\", expect_size=\"50759680\"] \n  23 [size=\"55613440\", alpha=\"0.01\", expect_size=\"16684032\"] \n  23 -> 38 [size =\"16684032\"]\n  23 -> 40 [size =\"16684032\"]\n  24 [size=\"72506027\", alpha=\"0.08\", expect_size=\"21751808\"] \n  24 -> 39 [size =\"21751808\"]\n  25 [size=\"144575147\", alpha=\"0.10\", expect_size=\"43372544\"] \n  25 -> 39 [size =\"43372544\"]\n  26 [size=\"165212160\", alpha=\"0.09\", expect_size=\"49563648\"] \n  26 -> 39 [size =\"49563648\"]\n  27 [size=\"46537387\", alpha=\"0.16\", expect_size=\"13961216\"] \n  27 -> 39 [size =\"13961216\"]\n  28 [size=\"132608000\", alpha=\"0.01\", expect_size=\"39782400\"] \n  28 -> 38 [size =\"39782400\"]\n  29 [size=\"51145387\", alpha=\"0.14\", expect_size=\"15343616\"] \n  30 [size=\"136523093\", alpha=\"0.20\", expect_size=\"40956928\"] \n  31 [size=\"57320107\", alpha=\"0.16\", expect_size=\"17196032\"] \n  32 [size=\"117391360\", alpha=\"0.04\", expect_size=\"35217408\"] \n  32 -> 38 [size =\"35217408\"]\n  33 [size=\"30580053\", alpha=\"0.10\", expect_size=\"9174016\"] \n  34 [size=\"36744533\", alpha=\"0.16\", expect_size=\"11023360\"] \n  35 [size=\"98044587\", alpha=\"0.01\", expect_size=\"29413376\"] \n  36 [size=\"18851840\", alpha=\"0.08\", expect_size=\"5655552\"] \n  37 [size=\"92235093\", alpha=\"0.06\", expect_size=\"27670528\"] \n  37 -> 39 [size =\"27670528\"]\n  38 [size=\"57197227\", alpha=\"0.04\", expect_size=\"17159168\"] \n  39 [size=\"62464000\", alpha=\"0.09\", expect_size=\"18739200\"] \n  40 [size=\"170246827\", alpha=\"0.03\", expect_size=\"51074048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14289920\", alpha=\"0.02\", expect_size=\"5715968\"] \n  1 -> 32 [size =\"5715968\"]\n  1 -> 34 [size =\"5715968\"]\n  1 -> 36 [size =\"5715968\"]\n  1 -> 37 [size =\"5715968\"]\n  1 -> 40 [size =\"5715968\"]\n  2 [size=\"119447040\", alpha=\"0.00\", expect_size=\"47778816\"] \n  2 -> 31 [size =\"47778816\"]\n  2 -> 32 [size =\"47778816\"]\n  2 -> 34 [size =\"47778816\"]\n  2 -> 36 [size =\"47778816\"]\n  2 -> 39 [size =\"47778816\"]\n  2 -> 40 [size =\"47778816\"]\n  3 [size=\"77975040\", alpha=\"0.07\", expect_size=\"31190016\"] \n  3 -> 34 [size =\"31190016\"]\n  3 -> 36 [size =\"31190016\"]\n  3 -> 37 [size =\"31190016\"]\n  3 -> 38 [size =\"31190016\"]\n  3 -> 39 [size =\"31190016\"]\n  4 [size=\"119920640\", alpha=\"0.09\", expect_size=\"47968256\"] \n  4 -> 30 [size =\"47968256\"]\n  4 -> 34 [size =\"47968256\"]\n  4 -> 35 [size =\"47968256\"]\n  4 -> 36 [size =\"47968256\"]\n  4 -> 37 [size =\"47968256\"]\n  4 -> 38 [size =\"47968256\"]\n  4 -> 39 [size =\"47968256\"]\n  4 -> 40 [size =\"47968256\"]\n  5 [size=\"110177280\", alpha=\"0.01\", expect_size=\"44070912\"] \n  5 -> 33 [size =\"44070912\"]\n  5 -> 34 [size =\"44070912\"]\n  5 -> 35 [size =\"44070912\"]\n  5 -> 36 [size =\"44070912\"]\n  5 -> 38 [size =\"44070912\"]\n  5 -> 40 [size =\"44070912\"]\n  6 [size=\"108418560\", alpha=\"0.09\", expect_size=\"43367424\"] \n  6 -> 30 [size =\"43367424\"]\n  6 -> 33 [size =\"43367424\"]\n  6 -> 34 [size =\"43367424\"]\n  6 -> 35 [size =\"43367424\"]\n  6 -> 36 [size =\"43367424\"]\n  6 -> 37 [size =\"43367424\"]\n  6 -> 38 [size =\"43367424\"]\n  6 -> 40 [size =\"43367424\"]\n  7 [size=\"74785280\", alpha=\"0.04\", expect_size=\"29914112\"] \n  7 -> 34 [size =\"29914112\"]\n  7 -> 35 [size =\"29914112\"]\n  7 -> 36 [size =\"29914112\"]\n  7 -> 38 [size =\"29914112\"]\n  7 -> 39 [size =\"29914112\"]\n  7 -> 40 [size =\"29914112\"]\n  8 [size=\"31695360\", alpha=\"0.08\", expect_size=\"12678144\"] \n  8 -> 32 [size =\"12678144\"]\n  8 -> 35 [size =\"12678144\"]\n  8 -> 36 [size =\"12678144\"]\n  8 -> 38 [size =\"12678144\"]\n  8 -> 39 [size =\"12678144\"]\n  8 -> 40 [size =\"12678144\"]\n  9 [size=\"110287360\", alpha=\"0.05\", expect_size=\"44114944\"] \n  9 -> 30 [size =\"44114944\"]\n  9 -> 35 [size =\"44114944\"]\n  9 -> 36 [size =\"44114944\"]\n  9 -> 38 [size =\"44114944\"]\n  9 -> 39 [size =\"44114944\"]\n  9 -> 40 [size =\"44114944\"]\n  10 [size=\"42818560\", alpha=\"0.17\", expect_size=\"17127424\"] \n  10 -> 32 [size =\"17127424\"]\n  10 -> 34 [size =\"17127424\"]\n  10 -> 35 [size =\"17127424\"]\n  10 -> 38 [size =\"17127424\"]\n  10 -> 40 [size =\"17127424\"]\n  10 -> 40 [size =\"17127424\"]\n  11 [size=\"79531520\", alpha=\"0.18\", expect_size=\"31812608\"] \n  11 -> 32 [size =\"31812608\"]\n  11 -> 33 [size =\"31812608\"]\n  11 -> 35 [size =\"31812608\"]\n  11 -> 37 [size =\"31812608\"]\n  11 -> 38 [size =\"31812608\"]\n  11 -> 40 [size =\"31812608\"]\n  12 [size=\"92695040\", alpha=\"0.16\", expect_size=\"37078016\"] \n  12 -> 30 [size =\"37078016\"]\n  12 -> 32 [size =\"37078016\"]\n  12 -> 35 [size =\"37078016\"]\n  12 -> 37 [size =\"37078016\"]\n  12 -> 38 [size =\"37078016\"]\n  13 [size=\"93706240\", alpha=\"0.10\", expect_size=\"37482496\"] \n  13 -> 34 [size =\"37482496\"]\n  13 -> 35 [size =\"37482496\"]\n  13 -> 35 [size =\"37482496\"]\n  13 -> 37 [size =\"37482496\"]\n  13 -> 38 [size =\"37482496\"]\n  13 -> 39 [size =\"37482496\"]\n  14 [size=\"16680960\", alpha=\"0.01\", expect_size=\"6672384\"] \n  14 -> 32 [size =\"6672384\"]\n  14 -> 35 [size =\"6672384\"]\n  14 -> 37 [size =\"6672384\"]\n  14 -> 38 [size =\"6672384\"]\n  14 -> 38 [size =\"6672384\"]\n  14 -> 39 [size =\"6672384\"]\n  14 -> 40 [size =\"6672384\"]\n  15 [size=\"70056960\", alpha=\"0.15\", expect_size=\"28022784\"] \n  15 -> 32 [size =\"28022784\"]\n  15 -> 33 [size =\"28022784\"]\n  15 -> 34 [size =\"28022784\"]\n  15 -> 35 [size =\"28022784\"]\n  15 -> 36 [size =\"28022784\"]\n  15 -> 37 [size =\"28022784\"]\n  15 -> 38 [size =\"28022784\"]\n  15 -> 39 [size =\"28022784\"]\n  15 -> 40 [size =\"28022784\"]\n  16 [size=\"74053120\", alpha=\"0.20\", expect_size=\"29621248\"] \n  16 -> 30 [size =\"29621248\"]\n  16 -> 32 [size =\"29621248\"]\n  16 -> 34 [size =\"29621248\"]\n  16 -> 35 [size =\"29621248\"]\n  16 -> 37 [size =\"29621248\"]\n  16 -> 38 [size =\"29621248\"]\n  16 -> 39 [size =\"29621248\"]\n  16 -> 40 [size =\"29621248\"]\n  17 [size=\"125360640\", alpha=\"0.19\", expect_size=\"50144256\"] \n  17 -> 30 [size =\"50144256\"]\n  17 -> 32 [size =\"50144256\"]\n  17 -> 34 [size =\"50144256\"]\n  17 -> 35 [size =\"50144256\"]\n  17 -> 39 [size =\"50144256\"]\n  17 -> 40 [size =\"50144256\"]\n  18 [size=\"31406080\", alpha=\"0.07\", expect_size=\"12562432\"] \n  18 -> 32 [size =\"12562432\"]\n  18 -> 34 [size =\"12562432\"]\n  18 -> 34 [size =\"12562432\"]\n  18 -> 35 [size =\"12562432\"]\n  18 -> 38 [size =\"12562432\"]\n  18 -> 39 [size =\"12562432\"]\n  18 -> 40 [size =\"12562432\"]\n  19 [size=\"77250560\", alpha=\"0.02\", expect_size=\"30900224\"] \n  19 -> 35 [size =\"30900224\"]\n  19 -> 36 [size =\"30900224\"]\n  19 -> 37 [size =\"30900224\"]\n  19 -> 40 [size =\"30900224\"]\n  20 [size=\"105528320\", alpha=\"0.09\", expect_size=\"42211328\"] \n  20 -> 32 [size =\"42211328\"]\n  20 -> 34 [size =\"42211328\"]\n  20 -> 35 [size =\"42211328\"]\n  20 -> 36 [size =\"42211328\"]\n  20 -> 39 [size =\"42211328\"]\n  20 -> 40 [size =\"42211328\"]\n  21 [size=\"87562240\", alpha=\"0.17\", expect_size=\"35024896\"] \n  21 -> 30 [size =\"35024896\"]\n  21 -> 32 [size =\"35024896\"]\n  21 -> 34 [size =\"35024896\"]\n  21 -> 36 [size =\"35024896\"]\n  21 -> 37 [size =\"35024896\"]\n  21 -> 38 [size =\"35024896\"]\n  21 -> 39 [size =\"35024896\"]\n  21 -> 40 [size =\"35024896\"]\n  22 [size=\"77872640\", alpha=\"0.03\", expect_size=\"31149056\"] \n  22 -> 32 [size =\"31149056\"]\n  22 -> 33 [size =\"31149056\"]\n  22 -> 34 [size =\"31149056\"]\n  22 -> 35 [size =\"31149056\"]\n  22 -> 36 [size =\"31149056\"]\n  22 -> 37 [size =\"31149056\"]\n  22 -> 39 [size =\"31149056\"]\n  22 -> 40 [size =\"31149056\"]\n  23 [size=\"56422400\", alpha=\"0.19\", expect_size=\"22568960\"] \n  23 -> 32 [size =\"22568960\"]\n  23 -> 33 [size =\"22568960\"]\n  23 -> 35 [size =\"22568960\"]\n  23 -> 36 [size =\"22568960\"]\n  23 -> 36 [size =\"22568960\"]\n  23 -> 39 [size =\"22568960\"]\n  23 -> 39 [size =\"22568960\"]\n  23 -> 40 [size =\"22568960\"]\n  24 [size=\"116551680\", alpha=\"0.14\", expect_size=\"46620672\"] \n  24 -> 34 [size =\"46620672\"]\n  24 -> 35 [size =\"46620672\"]\n  24 -> 36 [size =\"46620672\"]\n  24 -> 39 [size =\"46620672\"]\n  24 -> 40 [size =\"46620672\"]\n  25 [size=\"124610560\", alpha=\"0.05\", expect_size=\"49844224\"] \n  25 -> 34 [size =\"49844224\"]\n  25 -> 35 [size =\"49844224\"]\n  25 -> 38 [size =\"49844224\"]\n  25 -> 39 [size =\"49844224\"]\n  26 [size=\"93926400\", alpha=\"0.12\", expect_size=\"37570560\"] \n  26 -> 34 [size =\"37570560\"]\n  26 -> 35 [size =\"37570560\"]\n  26 -> 36 [size =\"37570560\"]\n  26 -> 38 [size =\"37570560\"]\n  26 -> 39 [size =\"37570560\"]\n  26 -> 40 [size =\"37570560\"]\n  27 [size=\"92154880\", alpha=\"0.10\", expect_size=\"36861952\"] \n  27 -> 34 [size =\"36861952\"]\n  27 -> 36 [size =\"36861952\"]\n  27 -> 37 [size =\"36861952\"]\n  27 -> 39 [size =\"36861952\"]\n  27 -> 39 [size =\"36861952\"]\n  27 -> 40 [size =\"36861952\"]\n  28 [size=\"83752960\", alpha=\"0.11\", expect_size=\"33501184\"] \n  28 -> 31 [size =\"33501184\"]\n  28 -> 32 [size =\"33501184\"]\n  28 -> 33 [size =\"33501184\"]\n  28 -> 34 [size =\"33501184\"]\n  28 -> 37 [size =\"33501184\"]\n  28 -> 39 [size =\"33501184\"]\n  28 -> 40 [size =\"33501184\"]\n  29 [size=\"122362880\", alpha=\"0.08\", expect_size=\"48945152\"] \n  29 -> 30 [size =\"48945152\"]\n  29 -> 33 [size =\"48945152\"]\n  29 -> 34 [size =\"48945152\"]\n  29 -> 34 [size =\"48945152\"]\n  29 -> 35 [size =\"48945152\"]\n  29 -> 36 [size =\"48945152\"]\n  29 -> 37 [size =\"48945152\"]\n  29 -> 39 [size =\"48945152\"]\n  29 -> 40 [size =\"48945152\"]\n  30 [size=\"16988160\", alpha=\"0.11\", expect_size=\"6795264\"] \n  31 [size=\"72834560\", alpha=\"0.04\", expect_size=\"29133824\"] \n  32 [size=\"55157760\", alpha=\"0.11\", expect_size=\"22063104\"] \n  33 [size=\"70295040\", alpha=\"0.12\", expect_size=\"28118016\"] \n  34 [size=\"65154560\", alpha=\"0.14\", expect_size=\"26061824\"] \n  35 [size=\"28582400\", alpha=\"0.05\", expect_size=\"11432960\"] \n  36 [size=\"57651200\", alpha=\"0.06\", expect_size=\"23060480\"] \n  37 [size=\"129710080\", alpha=\"0.07\", expect_size=\"51884032\"] \n  38 [size=\"70510080\", alpha=\"0.10\", expect_size=\"28204032\"] \n  39 [size=\"16601600\", alpha=\"0.05\", expect_size=\"6640640\"] \n  40 [size=\"65167360\", alpha=\"0.15\", expect_size=\"26066944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81629867\", alpha=\"0.03\", expect_size=\"24488960\"] \n  1 -> 6 [size =\"24488960\"]\n  2 [size=\"60190720\", alpha=\"0.01\", expect_size=\"18057216\"] \n  2 -> 4 [size =\"18057216\"]\n  2 -> 5 [size =\"18057216\"]\n  3 [size=\"37089280\", alpha=\"0.07\", expect_size=\"11126784\"] \n  3 -> 4 [size =\"11126784\"]\n  3 -> 6 [size =\"11126784\"]\n  4 [size=\"75011413\", alpha=\"0.04\", expect_size=\"22503424\"] \n  4 -> 8 [size =\"22503424\"]\n  5 [size=\"87770453\", alpha=\"0.12\", expect_size=\"26331136\"] \n  5 -> 7 [size =\"26331136\"]\n  6 [size=\"60859733\", alpha=\"0.15\", expect_size=\"18257920\"] \n  6 -> 7 [size =\"18257920\"]\n  6 -> 8 [size =\"18257920\"]\n  7 [size=\"173370027\", alpha=\"0.02\", expect_size=\"52011008\"] \n  7 -> 9 [size =\"52011008\"]\n  7 -> 10 [size =\"52011008\"]\n  7 -> 11 [size =\"52011008\"]\n  8 [size=\"36246187\", alpha=\"0.15\", expect_size=\"10873856\"] \n  8 -> 9 [size =\"10873856\"]\n  8 -> 10 [size =\"10873856\"]\n  9 [size=\"94088533\", alpha=\"0.20\", expect_size=\"28226560\"] \n  9 -> 13 [size =\"28226560\"]\n  10 [size=\"73543680\", alpha=\"0.06\", expect_size=\"22063104\"] \n  10 -> 12 [size =\"22063104\"]\n  10 -> 14 [size =\"22063104\"]\n  11 [size=\"89344000\", alpha=\"0.13\", expect_size=\"26803200\"] \n  11 -> 12 [size =\"26803200\"]\n  11 -> 13 [size =\"26803200\"]\n  12 [size=\"111827627\", alpha=\"0.17\", expect_size=\"33548288\"] \n  12 -> 16 [size =\"33548288\"]\n  13 [size=\"122183680\", alpha=\"0.15\", expect_size=\"36655104\"] \n  13 -> 15 [size =\"36655104\"]\n  13 -> 16 [size =\"36655104\"]\n  14 [size=\"23691947\", alpha=\"0.00\", expect_size=\"7107584\"] \n  15 [size=\"53490347\", alpha=\"0.08\", expect_size=\"16047104\"] \n  15 -> 17 [size =\"16047104\"]\n  15 -> 18 [size =\"16047104\"]\n  16 [size=\"151203840\", alpha=\"0.09\", expect_size=\"45361152\"] \n  17 [size=\"110407680\", alpha=\"0.10\", expect_size=\"33122304\"] \n  17 -> 19 [size =\"33122304\"]\n  18 [size=\"124344320\", alpha=\"0.02\", expect_size=\"37303296\"] \n  18 -> 20 [size =\"37303296\"]\n  18 -> 21 [size =\"37303296\"]\n  19 [size=\"85858987\", alpha=\"0.12\", expect_size=\"25757696\"] \n  19 -> 22 [size =\"25757696\"]\n  20 [size=\"84527787\", alpha=\"0.04\", expect_size=\"25358336\"] \n  20 -> 22 [size =\"25358336\"]\n  21 [size=\"132655787\", alpha=\"0.03\", expect_size=\"39796736\"] \n  21 -> 23 [size =\"39796736\"]\n  21 -> 24 [size =\"39796736\"]\n  22 [size=\"78008320\", alpha=\"0.08\", expect_size=\"23402496\"] \n  22 -> 25 [size =\"23402496\"]\n  22 -> 26 [size =\"23402496\"]\n  23 [size=\"51616427\", alpha=\"0.16\", expect_size=\"15484928\"] \n  23 -> 25 [size =\"15484928\"]\n  24 [size=\"169041920\", alpha=\"0.11\", expect_size=\"50712576\"] \n  24 -> 26 [size =\"50712576\"]\n  25 [size=\"170205867\", alpha=\"0.14\", expect_size=\"51061760\"] \n  25 -> 27 [size =\"51061760\"]\n  25 -> 28 [size =\"51061760\"]\n  26 [size=\"77090133\", alpha=\"0.04\", expect_size=\"23127040\"] \n  26 -> 27 [size =\"23127040\"]\n  26 -> 28 [size =\"23127040\"]\n  26 -> 29 [size =\"23127040\"]\n  27 [size=\"147906560\", alpha=\"0.13\", expect_size=\"44371968\"] \n  27 -> 31 [size =\"44371968\"]\n  28 [size=\"65696427\", alpha=\"0.04\", expect_size=\"19708928\"] \n  28 -> 30 [size =\"19708928\"]\n  28 -> 31 [size =\"19708928\"]\n  29 [size=\"82879147\", alpha=\"0.05\", expect_size=\"24863744\"] \n  29 -> 30 [size =\"24863744\"]\n  29 -> 31 [size =\"24863744\"]\n  30 [size=\"22258347\", alpha=\"0.14\", expect_size=\"6677504\"] \n  30 -> 32 [size =\"6677504\"]\n  30 -> 33 [size =\"6677504\"]\n  31 [size=\"51357013\", alpha=\"0.11\", expect_size=\"15407104\"] \n  31 -> 32 [size =\"15407104\"]\n  31 -> 33 [size =\"15407104\"]\n  31 -> 34 [size =\"15407104\"]\n  32 [size=\"77038933\", alpha=\"0.01\", expect_size=\"23111680\"] \n  32 -> 35 [size =\"23111680\"]\n  32 -> 36 [size =\"23111680\"]\n  33 [size=\"142018560\", alpha=\"0.03\", expect_size=\"42605568\"] \n  34 [size=\"108629333\", alpha=\"0.07\", expect_size=\"32588800\"] \n  34 -> 35 [size =\"32588800\"]\n  35 [size=\"34409813\", alpha=\"0.15\", expect_size=\"10322944\"] \n  35 -> 37 [size =\"10322944\"]\n  35 -> 38 [size =\"10322944\"]\n  36 [size=\"146937173\", alpha=\"0.00\", expect_size=\"44081152\"] \n  36 -> 37 [size =\"44081152\"]\n  36 -> 38 [size =\"44081152\"]\n  37 [size=\"17742507\", alpha=\"0.17\", expect_size=\"5322752\"] \n  37 -> 39 [size =\"5322752\"]\n  37 -> 40 [size =\"5322752\"]\n  38 [size=\"117292373\", alpha=\"0.08\", expect_size=\"35187712\"] \n  38 -> 39 [size =\"35187712\"]\n  38 -> 40 [size =\"35187712\"]\n  39 [size=\"149787307\", alpha=\"0.07\", expect_size=\"44936192\"] \n  40 [size=\"34553173\", alpha=\"0.15\", expect_size=\"10365952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55439360\", alpha=\"0.03\", expect_size=\"22175744\"] \n  1 -> 2 [size =\"22175744\"]\n  2 [size=\"15436800\", alpha=\"0.09\", expect_size=\"6174720\"] \n  2 -> 3 [size =\"6174720\"]\n  3 [size=\"75205120\", alpha=\"0.06\", expect_size=\"30082048\"] \n  3 -> 4 [size =\"30082048\"]\n  4 [size=\"76874240\", alpha=\"0.12\", expect_size=\"30749696\"] \n  4 -> 5 [size =\"30749696\"]\n  5 [size=\"95326720\", alpha=\"0.15\", expect_size=\"38130688\"] \n  5 -> 6 [size =\"38130688\"]\n  6 [size=\"14167040\", alpha=\"0.18\", expect_size=\"5666816\"] \n  6 -> 7 [size =\"5666816\"]\n  7 [size=\"79715840\", alpha=\"0.18\", expect_size=\"31886336\"] \n  7 -> 8 [size =\"31886336\"]\n  8 [size=\"117936640\", alpha=\"0.17\", expect_size=\"47174656\"] \n  8 -> 9 [size =\"47174656\"]\n  9 [size=\"64051200\", alpha=\"0.03\", expect_size=\"25620480\"] \n  9 -> 10 [size =\"25620480\"]\n  10 [size=\"43553280\", alpha=\"0.03\", expect_size=\"17421312\"] \n  10 -> 11 [size =\"17421312\"]\n  11 [size=\"113863680\", alpha=\"0.10\", expect_size=\"45545472\"] \n  11 -> 12 [size =\"45545472\"]\n  12 [size=\"13186560\", alpha=\"0.11\", expect_size=\"5274624\"] \n  12 -> 13 [size =\"5274624\"]\n  13 [size=\"64235520\", alpha=\"0.17\", expect_size=\"25694208\"] \n  13 -> 14 [size =\"25694208\"]\n  14 [size=\"98915840\", alpha=\"0.04\", expect_size=\"39566336\"] \n  14 -> 15 [size =\"39566336\"]\n  15 [size=\"51921920\", alpha=\"0.01\", expect_size=\"20768768\"] \n  15 -> 16 [size =\"20768768\"]\n  16 [size=\"21004800\", alpha=\"0.05\", expect_size=\"8401920\"] \n  16 -> 17 [size =\"8401920\"]\n  17 [size=\"126430720\", alpha=\"0.20\", expect_size=\"50572288\"] \n  17 -> 18 [size =\"50572288\"]\n  18 [size=\"113717760\", alpha=\"0.08\", expect_size=\"45487104\"] \n  18 -> 19 [size =\"45487104\"]\n  19 [size=\"96286720\", alpha=\"0.16\", expect_size=\"38514688\"] \n  19 -> 20 [size =\"38514688\"]\n  20 [size=\"114872320\", alpha=\"0.00\", expect_size=\"45948928\"] \n  20 -> 21 [size =\"45948928\"]\n  21 [size=\"14438400\", alpha=\"0.12\", expect_size=\"5775360\"] \n  21 -> 22 [size =\"5775360\"]\n  22 [size=\"75909120\", alpha=\"0.04\", expect_size=\"30363648\"] \n  22 -> 23 [size =\"30363648\"]\n  23 [size=\"22707200\", alpha=\"0.07\", expect_size=\"9082880\"] \n  23 -> 24 [size =\"9082880\"]\n  24 [size=\"120893440\", alpha=\"0.00\", expect_size=\"48357376\"] \n  24 -> 25 [size =\"48357376\"]\n  25 [size=\"25602560\", alpha=\"0.08\", expect_size=\"10241024\"] \n  25 -> 26 [size =\"10241024\"]\n  26 [size=\"32704000\", alpha=\"0.15\", expect_size=\"13081600\"] \n  26 -> 27 [size =\"13081600\"]\n  27 [size=\"59384320\", alpha=\"0.14\", expect_size=\"23753728\"] \n  27 -> 28 [size =\"23753728\"]\n  28 [size=\"58534400\", alpha=\"0.11\", expect_size=\"23413760\"] \n  28 -> 29 [size =\"23413760\"]\n  29 [size=\"105702400\", alpha=\"0.16\", expect_size=\"42280960\"] \n  29 -> 30 [size =\"42280960\"]\n  30 [size=\"81635840\", alpha=\"0.07\", expect_size=\"32654336\"] \n  30 -> 31 [size =\"32654336\"]\n  31 [size=\"84398080\", alpha=\"0.14\", expect_size=\"33759232\"] \n  31 -> 32 [size =\"33759232\"]\n  32 [size=\"38353920\", alpha=\"0.02\", expect_size=\"15341568\"] \n  32 -> 33 [size =\"15341568\"]\n  33 [size=\"63802880\", alpha=\"0.18\", expect_size=\"25521152\"] \n  33 -> 34 [size =\"25521152\"]\n  34 [size=\"104875520\", alpha=\"0.09\", expect_size=\"41950208\"] \n  34 -> 35 [size =\"41950208\"]\n  35 [size=\"107379200\", alpha=\"0.06\", expect_size=\"42951680\"] \n  35 -> 36 [size =\"42951680\"]\n  36 [size=\"35568640\", alpha=\"0.05\", expect_size=\"14227456\"] \n  36 -> 37 [size =\"14227456\"]\n  37 [size=\"126435840\", alpha=\"0.03\", expect_size=\"50574336\"] \n  37 -> 38 [size =\"50574336\"]\n  38 [size=\"92695040\", alpha=\"0.18\", expect_size=\"37078016\"] \n  38 -> 39 [size =\"37078016\"]\n  39 [size=\"39178240\", alpha=\"0.07\", expect_size=\"15671296\"] \n  39 -> 40 [size =\"15671296\"]\n  40 [size=\"16829440\", alpha=\"0.13\", expect_size=\"6731776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61549227\", alpha=\"0.07\", expect_size=\"18464768\"] \n  1 -> 2 [size =\"18464768\"]\n  2 [size=\"133956267\", alpha=\"0.02\", expect_size=\"40186880\"] \n  2 -> 3 [size =\"40186880\"]\n  3 [size=\"43018240\", alpha=\"0.09\", expect_size=\"12905472\"] \n  3 -> 4 [size =\"12905472\"]\n  4 [size=\"26552320\", alpha=\"0.08\", expect_size=\"7965696\"] \n  4 -> 5 [size =\"7965696\"]\n  5 [size=\"145797120\", alpha=\"0.16\", expect_size=\"43739136\"] \n  5 -> 6 [size =\"43739136\"]\n  6 [size=\"29815467\", alpha=\"0.07\", expect_size=\"8944640\"] \n  6 -> 7 [size =\"8944640\"]\n  7 [size=\"98348373\", alpha=\"0.09\", expect_size=\"29504512\"] \n  7 -> 8 [size =\"29504512\"]\n  8 [size=\"104990720\", alpha=\"0.07\", expect_size=\"31497216\"] \n  8 -> 9 [size =\"31497216\"]\n  9 [size=\"83462827\", alpha=\"0.19\", expect_size=\"25038848\"] \n  9 -> 10 [size =\"25038848\"]\n  10 [size=\"96600747\", alpha=\"0.07\", expect_size=\"28980224\"] \n  10 -> 11 [size =\"28980224\"]\n  11 [size=\"90166613\", alpha=\"0.12\", expect_size=\"27049984\"] \n  11 -> 12 [size =\"27049984\"]\n  12 [size=\"141649920\", alpha=\"0.13\", expect_size=\"42494976\"] \n  12 -> 13 [size =\"42494976\"]\n  13 [size=\"155726507\", alpha=\"0.16\", expect_size=\"46717952\"] \n  13 -> 14 [size =\"46717952\"]\n  14 [size=\"72492373\", alpha=\"0.07\", expect_size=\"21747712\"] \n  14 -> 15 [size =\"21747712\"]\n  15 [size=\"137499307\", alpha=\"0.16\", expect_size=\"41249792\"] \n  15 -> 16 [size =\"41249792\"]\n  16 [size=\"102963200\", alpha=\"0.00\", expect_size=\"30888960\"] \n  16 -> 17 [size =\"30888960\"]\n  17 [size=\"156849493\", alpha=\"0.20\", expect_size=\"47054848\"] \n  17 -> 18 [size =\"47054848\"]\n  18 [size=\"70922240\", alpha=\"0.10\", expect_size=\"21276672\"] \n  18 -> 19 [size =\"21276672\"]\n  19 [size=\"126023680\", alpha=\"0.11\", expect_size=\"37807104\"] \n  19 -> 20 [size =\"37807104\"]\n  20 [size=\"119415467\", alpha=\"0.14\", expect_size=\"35824640\"] \n  20 -> 21 [size =\"35824640\"]\n  21 [size=\"172714667\", alpha=\"0.02\", expect_size=\"51814400\"] \n  21 -> 22 [size =\"51814400\"]\n  22 [size=\"112520533\", alpha=\"0.05\", expect_size=\"33756160\"] \n  22 -> 23 [size =\"33756160\"]\n  23 [size=\"57729707\", alpha=\"0.12\", expect_size=\"17318912\"] \n  23 -> 24 [size =\"17318912\"]\n  24 [size=\"26470400\", alpha=\"0.19\", expect_size=\"7941120\"] \n  24 -> 25 [size =\"7941120\"]\n  25 [size=\"81114453\", alpha=\"0.03\", expect_size=\"24334336\"] \n  25 -> 26 [size =\"24334336\"]\n  26 [size=\"50152107\", alpha=\"0.08\", expect_size=\"15045632\"] \n  26 -> 27 [size =\"15045632\"]\n  27 [size=\"51855360\", alpha=\"0.04\", expect_size=\"15556608\"] \n  27 -> 28 [size =\"15556608\"]\n  28 [size=\"51653973\", alpha=\"0.11\", expect_size=\"15496192\"] \n  28 -> 29 [size =\"15496192\"]\n  29 [size=\"133829973\", alpha=\"0.06\", expect_size=\"40148992\"] \n  29 -> 30 [size =\"40148992\"]\n  30 [size=\"66109440\", alpha=\"0.11\", expect_size=\"19832832\"] \n  30 -> 31 [size =\"19832832\"]\n  31 [size=\"19254613\", alpha=\"0.06\", expect_size=\"5776384\"] \n  31 -> 32 [size =\"5776384\"]\n  32 [size=\"37341867\", alpha=\"0.16\", expect_size=\"11202560\"] \n  32 -> 33 [size =\"11202560\"]\n  33 [size=\"79564800\", alpha=\"0.04\", expect_size=\"23869440\"] \n  33 -> 34 [size =\"23869440\"]\n  34 [size=\"171461973\", alpha=\"0.18\", expect_size=\"51438592\"] \n  34 -> 35 [size =\"51438592\"]\n  35 [size=\"164829867\", alpha=\"0.09\", expect_size=\"49448960\"] \n  35 -> 36 [size =\"49448960\"]\n  36 [size=\"30699520\", alpha=\"0.10\", expect_size=\"9209856\"] \n  36 -> 37 [size =\"9209856\"]\n  37 [size=\"95986347\", alpha=\"0.08\", expect_size=\"28795904\"] \n  37 -> 38 [size =\"28795904\"]\n  38 [size=\"126996480\", alpha=\"0.14\", expect_size=\"38098944\"] \n  38 -> 39 [size =\"38098944\"]\n  39 [size=\"53951147\", alpha=\"0.13\", expect_size=\"16185344\"] \n  39 -> 40 [size =\"16185344\"]\n  40 [size=\"100133547\", alpha=\"0.05\", expect_size=\"30040064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51279872\", alpha=\"0.12\", expect_size=\"25639936\"] \n  1 -> 40 [size =\"25639936\"]\n  2 [size=\"73654272\", alpha=\"0.17\", expect_size=\"36827136\"] \n  3 [size=\"104427520\", alpha=\"0.19\", expect_size=\"52213760\"] \n  3 -> 40 [size =\"52213760\"]\n  4 [size=\"76797952\", alpha=\"0.17\", expect_size=\"38398976\"] \n  5 [size=\"34856960\", alpha=\"0.20\", expect_size=\"17428480\"] \n  5 -> 40 [size =\"17428480\"]\n  6 [size=\"50620416\", alpha=\"0.05\", expect_size=\"25310208\"] \n  6 -> 40 [size =\"25310208\"]\n  7 [size=\"67645440\", alpha=\"0.07\", expect_size=\"33822720\"] \n  7 -> 40 [size =\"33822720\"]\n  8 [size=\"70078464\", alpha=\"0.05\", expect_size=\"35039232\"] \n  8 -> 40 [size =\"35039232\"]\n  9 [size=\"58431488\", alpha=\"0.20\", expect_size=\"29215744\"] \n  9 -> 40 [size =\"29215744\"]\n  10 [size=\"35981312\", alpha=\"0.19\", expect_size=\"17990656\"] \n  11 [size=\"94265344\", alpha=\"0.12\", expect_size=\"47132672\"] \n  12 [size=\"55197696\", alpha=\"0.18\", expect_size=\"27598848\"] \n  13 [size=\"43067392\", alpha=\"0.15\", expect_size=\"21533696\"] \n  14 [size=\"36091904\", alpha=\"0.11\", expect_size=\"18045952\"] \n  15 [size=\"23894016\", alpha=\"0.18\", expect_size=\"11947008\"] \n  16 [size=\"23113728\", alpha=\"0.14\", expect_size=\"11556864\"] \n  16 -> 40 [size =\"11556864\"]\n  17 [size=\"45367296\", alpha=\"0.11\", expect_size=\"22683648\"] \n  18 [size=\"76849152\", alpha=\"0.06\", expect_size=\"38424576\"] \n  18 -> 40 [size =\"38424576\"]\n  19 [size=\"98756608\", alpha=\"0.03\", expect_size=\"49378304\"] \n  20 [size=\"97884160\", alpha=\"0.09\", expect_size=\"48942080\"] \n  21 [size=\"94822400\", alpha=\"0.04\", expect_size=\"47411200\"] \n  22 [size=\"57135104\", alpha=\"0.12\", expect_size=\"28567552\"] \n  23 [size=\"46895104\", alpha=\"0.00\", expect_size=\"23447552\"] \n  24 [size=\"24537088\", alpha=\"0.02\", expect_size=\"12268544\"] \n  25 [size=\"75057152\", alpha=\"0.09\", expect_size=\"37528576\"] \n  25 -> 40 [size =\"37528576\"]\n  26 [size=\"64448512\", alpha=\"0.05\", expect_size=\"32224256\"] \n  26 -> 40 [size =\"32224256\"]\n  27 [size=\"34529280\", alpha=\"0.13\", expect_size=\"17264640\"] \n  27 -> 40 [size =\"17264640\"]\n  28 [size=\"87947264\", alpha=\"0.13\", expect_size=\"43973632\"] \n  29 [size=\"22622208\", alpha=\"0.04\", expect_size=\"11311104\"] \n  30 [size=\"37603328\", alpha=\"0.00\", expect_size=\"18801664\"] \n  30 -> 40 [size =\"18801664\"]\n  31 [size=\"81227776\", alpha=\"0.14\", expect_size=\"40613888\"] \n  32 [size=\"99923968\", alpha=\"0.17\", expect_size=\"49961984\"] \n  33 [size=\"62486528\", alpha=\"0.07\", expect_size=\"31243264\"] \n  33 -> 40 [size =\"31243264\"]\n  34 [size=\"62857216\", alpha=\"0.03\", expect_size=\"31428608\"] \n  35 [size=\"72978432\", alpha=\"0.01\", expect_size=\"36489216\"] \n  36 [size=\"22851584\", alpha=\"0.03\", expect_size=\"11425792\"] \n  36 -> 40 [size =\"11425792\"]\n  37 [size=\"46983168\", alpha=\"0.11\", expect_size=\"23491584\"] \n  38 [size=\"13793280\", alpha=\"0.14\", expect_size=\"6896640\"] \n  39 [size=\"77244416\", alpha=\"0.15\", expect_size=\"38622208\"] \n  40 [size=\"96540672\", alpha=\"0.15\", expect_size=\"48270336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88504320\", alpha=\"0.10\", expect_size=\"26551296\"] \n  1 -> 20 [size =\"26551296\"]\n  1 -> 22 [size =\"26551296\"]\n  1 -> 23 [size =\"26551296\"]\n  2 [size=\"89576107\", alpha=\"0.11\", expect_size=\"26872832\"] \n  2 -> 15 [size =\"26872832\"]\n  2 -> 19 [size =\"26872832\"]\n  2 -> 21 [size =\"26872832\"]\n  2 -> 22 [size =\"26872832\"]\n  3 [size=\"165512533\", alpha=\"0.11\", expect_size=\"49653760\"] \n  3 -> 15 [size =\"49653760\"]\n  3 -> 17 [size =\"49653760\"]\n  3 -> 18 [size =\"49653760\"]\n  3 -> 22 [size =\"49653760\"]\n  3 -> 24 [size =\"49653760\"]\n  4 [size=\"91337387\", alpha=\"0.05\", expect_size=\"27401216\"] \n  4 -> 15 [size =\"27401216\"]\n  4 -> 19 [size =\"27401216\"]\n  5 [size=\"72413867\", alpha=\"0.04\", expect_size=\"21724160\"] \n  5 -> 15 [size =\"21724160\"]\n  5 -> 19 [size =\"21724160\"]\n  5 -> 24 [size =\"21724160\"]\n  6 [size=\"104410453\", alpha=\"0.20\", expect_size=\"31323136\"] \n  6 -> 13 [size =\"31323136\"]\n  6 -> 15 [size =\"31323136\"]\n  6 -> 17 [size =\"31323136\"]\n  6 -> 19 [size =\"31323136\"]\n  6 -> 20 [size =\"31323136\"]\n  6 -> 21 [size =\"31323136\"]\n  6 -> 22 [size =\"31323136\"]\n  6 -> 24 [size =\"31323136\"]\n  7 [size=\"132474880\", alpha=\"0.04\", expect_size=\"39742464\"] \n  7 -> 15 [size =\"39742464\"]\n  7 -> 15 [size =\"39742464\"]\n  7 -> 17 [size =\"39742464\"]\n  7 -> 21 [size =\"39742464\"]\n  7 -> 22 [size =\"39742464\"]\n  8 [size=\"124620800\", alpha=\"0.15\", expect_size=\"37386240\"] \n  8 -> 15 [size =\"37386240\"]\n  9 [size=\"122002773\", alpha=\"0.11\", expect_size=\"36600832\"] \n  9 -> 13 [size =\"36600832\"]\n  9 -> 14 [size =\"36600832\"]\n  9 -> 15 [size =\"36600832\"]\n  9 -> 16 [size =\"36600832\"]\n  9 -> 19 [size =\"36600832\"]\n  9 -> 21 [size =\"36600832\"]\n  9 -> 22 [size =\"36600832\"]\n  9 -> 23 [size =\"36600832\"]\n  9 -> 24 [size =\"36600832\"]\n  10 [size=\"152139093\", alpha=\"0.11\", expect_size=\"45641728\"] \n  10 -> 13 [size =\"45641728\"]\n  10 -> 15 [size =\"45641728\"]\n  10 -> 16 [size =\"45641728\"]\n  10 -> 19 [size =\"45641728\"]\n  10 -> 19 [size =\"45641728\"]\n  10 -> 21 [size =\"45641728\"]\n  10 -> 22 [size =\"45641728\"]\n  11 [size=\"37495467\", alpha=\"0.14\", expect_size=\"11248640\"] \n  11 -> 18 [size =\"11248640\"]\n  11 -> 21 [size =\"11248640\"]\n  11 -> 22 [size =\"11248640\"]\n  11 -> 24 [size =\"11248640\"]\n  12 [size=\"117780480\", alpha=\"0.06\", expect_size=\"35334144\"] \n  12 -> 15 [size =\"35334144\"]\n  12 -> 19 [size =\"35334144\"]\n  12 -> 21 [size =\"35334144\"]\n  12 -> 22 [size =\"35334144\"]\n  13 [size=\"45158400\", alpha=\"0.16\", expect_size=\"13547520\"] \n  13 -> 25 [size =\"13547520\"]\n  13 -> 26 [size =\"13547520\"]\n  13 -> 30 [size =\"13547520\"]\n  13 -> 34 [size =\"13547520\"]\n  13 -> 35 [size =\"13547520\"]\n  14 [size=\"135113387\", alpha=\"0.01\", expect_size=\"40534016\"] \n  14 -> 25 [size =\"40534016\"]\n  14 -> 26 [size =\"40534016\"]\n  14 -> 27 [size =\"40534016\"]\n  14 -> 29 [size =\"40534016\"]\n  14 -> 30 [size =\"40534016\"]\n  14 -> 31 [size =\"40534016\"]\n  14 -> 33 [size =\"40534016\"]\n  15 [size=\"20032853\", alpha=\"0.10\", expect_size=\"6009856\"] \n  15 -> 25 [size =\"6009856\"]\n  15 -> 27 [size =\"6009856\"]\n  15 -> 29 [size =\"6009856\"]\n  15 -> 31 [size =\"6009856\"]\n  15 -> 33 [size =\"6009856\"]\n  15 -> 35 [size =\"6009856\"]\n  16 [size=\"48093867\", alpha=\"0.05\", expect_size=\"14428160\"] \n  16 -> 25 [size =\"14428160\"]\n  16 -> 26 [size =\"14428160\"]\n  16 -> 27 [size =\"14428160\"]\n  16 -> 30 [size =\"14428160\"]\n  16 -> 31 [size =\"14428160\"]\n  16 -> 32 [size =\"14428160\"]\n  17 [size=\"46196053\", alpha=\"0.12\", expect_size=\"13858816\"] \n  17 -> 25 [size =\"13858816\"]\n  17 -> 26 [size =\"13858816\"]\n  17 -> 27 [size =\"13858816\"]\n  17 -> 31 [size =\"13858816\"]\n  18 [size=\"77199360\", alpha=\"0.11\", expect_size=\"23159808\"] \n  18 -> 25 [size =\"23159808\"]\n  18 -> 26 [size =\"23159808\"]\n  18 -> 27 [size =\"23159808\"]\n  18 -> 29 [size =\"23159808\"]\n  18 -> 33 [size =\"23159808\"]\n  19 [size=\"35952640\", alpha=\"0.09\", expect_size=\"10785792\"] \n  19 -> 26 [size =\"10785792\"]\n  19 -> 26 [size =\"10785792\"]\n  19 -> 27 [size =\"10785792\"]\n  19 -> 28 [size =\"10785792\"]\n  19 -> 30 [size =\"10785792\"]\n  19 -> 31 [size =\"10785792\"]\n  20 [size=\"119473493\", alpha=\"0.15\", expect_size=\"35842048\"] \n  20 -> 27 [size =\"35842048\"]\n  20 -> 30 [size =\"35842048\"]\n  20 -> 35 [size =\"35842048\"]\n  21 [size=\"51537920\", alpha=\"0.11\", expect_size=\"15461376\"] \n  21 -> 27 [size =\"15461376\"]\n  21 -> 28 [size =\"15461376\"]\n  21 -> 29 [size =\"15461376\"]\n  21 -> 30 [size =\"15461376\"]\n  21 -> 31 [size =\"15461376\"]\n  21 -> 33 [size =\"15461376\"]\n  22 [size=\"158235307\", alpha=\"0.16\", expect_size=\"47470592\"] \n  22 -> 25 [size =\"47470592\"]\n  22 -> 27 [size =\"47470592\"]\n  22 -> 28 [size =\"47470592\"]\n  22 -> 30 [size =\"47470592\"]\n  22 -> 31 [size =\"47470592\"]\n  23 [size=\"45608960\", alpha=\"0.20\", expect_size=\"13682688\"] \n  23 -> 25 [size =\"13682688\"]\n  23 -> 27 [size =\"13682688\"]\n  23 -> 28 [size =\"13682688\"]\n  23 -> 29 [size =\"13682688\"]\n  23 -> 30 [size =\"13682688\"]\n  23 -> 31 [size =\"13682688\"]\n  24 [size=\"172892160\", alpha=\"0.13\", expect_size=\"51867648\"] \n  24 -> 27 [size =\"51867648\"]\n  24 -> 28 [size =\"51867648\"]\n  24 -> 28 [size =\"51867648\"]\n  24 -> 31 [size =\"51867648\"]\n  25 [size=\"23336960\", alpha=\"0.13\", expect_size=\"7001088\"] \n  25 -> 36 [size =\"7001088\"]\n  25 -> 37 [size =\"7001088\"]\n  25 -> 39 [size =\"7001088\"]\n  25 -> 40 [size =\"7001088\"]\n  26 [size=\"102130347\", alpha=\"0.04\", expect_size=\"30639104\"] \n  26 -> 36 [size =\"30639104\"]\n  26 -> 37 [size =\"30639104\"]\n  26 -> 39 [size =\"30639104\"]\n  26 -> 40 [size =\"30639104\"]\n  27 [size=\"141233493\", alpha=\"0.10\", expect_size=\"42370048\"] \n  27 -> 36 [size =\"42370048\"]\n  27 -> 37 [size =\"42370048\"]\n  27 -> 39 [size =\"42370048\"]\n  28 [size=\"81254400\", alpha=\"0.09\", expect_size=\"24376320\"] \n  28 -> 36 [size =\"24376320\"]\n  28 -> 37 [size =\"24376320\"]\n  28 -> 38 [size =\"24376320\"]\n  28 -> 39 [size =\"24376320\"]\n  29 [size=\"166406827\", alpha=\"0.02\", expect_size=\"49922048\"] \n  29 -> 36 [size =\"49922048\"]\n  29 -> 37 [size =\"49922048\"]\n  29 -> 38 [size =\"49922048\"]\n  30 [size=\"77195947\", alpha=\"0.11\", expect_size=\"23158784\"] \n  30 -> 36 [size =\"23158784\"]\n  30 -> 37 [size =\"23158784\"]\n  30 -> 38 [size =\"23158784\"]\n  30 -> 39 [size =\"23158784\"]\n  30 -> 40 [size =\"23158784\"]\n  31 [size=\"40396800\", alpha=\"0.04\", expect_size=\"12119040\"] \n  31 -> 36 [size =\"12119040\"]\n  31 -> 37 [size =\"12119040\"]\n  31 -> 38 [size =\"12119040\"]\n  31 -> 39 [size =\"12119040\"]\n  32 [size=\"127030613\", alpha=\"0.09\", expect_size=\"38109184\"] \n  32 -> 36 [size =\"38109184\"]\n  32 -> 37 [size =\"38109184\"]\n  32 -> 38 [size =\"38109184\"]\n  32 -> 39 [size =\"38109184\"]\n  32 -> 40 [size =\"38109184\"]\n  33 [size=\"94631253\", alpha=\"0.17\", expect_size=\"28389376\"] \n  33 -> 38 [size =\"28389376\"]\n  33 -> 40 [size =\"28389376\"]\n  34 [size=\"91234987\", alpha=\"0.01\", expect_size=\"27370496\"] \n  34 -> 37 [size =\"27370496\"]\n  34 -> 40 [size =\"27370496\"]\n  35 [size=\"33419947\", alpha=\"0.05\", expect_size=\"10025984\"] \n  35 -> 36 [size =\"10025984\"]\n  35 -> 37 [size =\"10025984\"]\n  35 -> 39 [size =\"10025984\"]\n  35 -> 40 [size =\"10025984\"]\n  36 [size=\"133410133\", alpha=\"0.13\", expect_size=\"40023040\"] \n  37 [size=\"163570347\", alpha=\"0.04\", expect_size=\"49071104\"] \n  38 [size=\"81612800\", alpha=\"0.03\", expect_size=\"24483840\"] \n  39 [size=\"151968427\", alpha=\"0.04\", expect_size=\"45590528\"] \n  40 [size=\"164597760\", alpha=\"0.19\", expect_size=\"49379328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82370560\", alpha=\"0.11\", expect_size=\"24711168\"] \n  1 -> 15 [size =\"24711168\"]\n  1 -> 18 [size =\"24711168\"]\n  1 -> 19 [size =\"24711168\"]\n  1 -> 23 [size =\"24711168\"]\n  2 [size=\"54275413\", alpha=\"0.14\", expect_size=\"16282624\"] \n  2 -> 13 [size =\"16282624\"]\n  2 -> 16 [size =\"16282624\"]\n  2 -> 19 [size =\"16282624\"]\n  2 -> 21 [size =\"16282624\"]\n  2 -> 22 [size =\"16282624\"]\n  2 -> 23 [size =\"16282624\"]\n  2 -> 24 [size =\"16282624\"]\n  2 -> 27 [size =\"16282624\"]\n  3 [size=\"50411520\", alpha=\"0.17\", expect_size=\"15123456\"] \n  3 -> 14 [size =\"15123456\"]\n  3 -> 17 [size =\"15123456\"]\n  3 -> 19 [size =\"15123456\"]\n  3 -> 23 [size =\"15123456\"]\n  3 -> 26 [size =\"15123456\"]\n  3 -> 27 [size =\"15123456\"]\n  4 [size=\"76721493\", alpha=\"0.15\", expect_size=\"23016448\"] \n  4 -> 15 [size =\"23016448\"]\n  4 -> 16 [size =\"23016448\"]\n  4 -> 18 [size =\"23016448\"]\n  4 -> 19 [size =\"23016448\"]\n  4 -> 26 [size =\"23016448\"]\n  4 -> 27 [size =\"23016448\"]\n  5 [size=\"126030507\", alpha=\"0.10\", expect_size=\"37809152\"] \n  5 -> 16 [size =\"37809152\"]\n  5 -> 18 [size =\"37809152\"]\n  5 -> 20 [size =\"37809152\"]\n  5 -> 22 [size =\"37809152\"]\n  5 -> 23 [size =\"37809152\"]\n  5 -> 24 [size =\"37809152\"]\n  6 [size=\"106806613\", alpha=\"0.18\", expect_size=\"32041984\"] \n  6 -> 13 [size =\"32041984\"]\n  6 -> 15 [size =\"32041984\"]\n  6 -> 18 [size =\"32041984\"]\n  6 -> 20 [size =\"32041984\"]\n  7 [size=\"111878827\", alpha=\"0.12\", expect_size=\"33563648\"] \n  7 -> 15 [size =\"33563648\"]\n  7 -> 18 [size =\"33563648\"]\n  7 -> 18 [size =\"33563648\"]\n  7 -> 19 [size =\"33563648\"]\n  7 -> 23 [size =\"33563648\"]\n  7 -> 26 [size =\"33563648\"]\n  7 -> 27 [size =\"33563648\"]\n  8 [size=\"121419093\", alpha=\"0.17\", expect_size=\"36425728\"] \n  8 -> 14 [size =\"36425728\"]\n  8 -> 15 [size =\"36425728\"]\n  8 -> 17 [size =\"36425728\"]\n  8 -> 18 [size =\"36425728\"]\n  8 -> 22 [size =\"36425728\"]\n  8 -> 24 [size =\"36425728\"]\n  8 -> 25 [size =\"36425728\"]\n  8 -> 27 [size =\"36425728\"]\n  9 [size=\"38584320\", alpha=\"0.10\", expect_size=\"11575296\"] \n  9 -> 13 [size =\"11575296\"]\n  9 -> 15 [size =\"11575296\"]\n  9 -> 16 [size =\"11575296\"]\n  9 -> 17 [size =\"11575296\"]\n  9 -> 22 [size =\"11575296\"]\n  9 -> 23 [size =\"11575296\"]\n  9 -> 24 [size =\"11575296\"]\n  9 -> 25 [size =\"11575296\"]\n  10 [size=\"138516480\", alpha=\"0.06\", expect_size=\"41554944\"] \n  10 -> 15 [size =\"41554944\"]\n  10 -> 19 [size =\"41554944\"]\n  10 -> 25 [size =\"41554944\"]\n  11 [size=\"82442240\", alpha=\"0.02\", expect_size=\"24732672\"] \n  11 -> 13 [size =\"24732672\"]\n  11 -> 19 [size =\"24732672\"]\n  11 -> 22 [size =\"24732672\"]\n  11 -> 23 [size =\"24732672\"]\n  12 [size=\"169478827\", alpha=\"0.03\", expect_size=\"50843648\"] \n  12 -> 15 [size =\"50843648\"]\n  12 -> 18 [size =\"50843648\"]\n  12 -> 19 [size =\"50843648\"]\n  12 -> 27 [size =\"50843648\"]\n  13 [size=\"125153280\", alpha=\"0.13\", expect_size=\"37545984\"] \n  13 -> 30 [size =\"37545984\"]\n  13 -> 33 [size =\"37545984\"]\n  13 -> 35 [size =\"37545984\"]\n  14 [size=\"101737813\", alpha=\"0.04\", expect_size=\"30521344\"] \n  14 -> 37 [size =\"30521344\"]\n  14 -> 40 [size =\"30521344\"]\n  15 [size=\"58569387\", alpha=\"0.08\", expect_size=\"17570816\"] \n  15 -> 32 [size =\"17570816\"]\n  15 -> 33 [size =\"17570816\"]\n  15 -> 34 [size =\"17570816\"]\n  15 -> 37 [size =\"17570816\"]\n  16 [size=\"134567253\", alpha=\"0.16\", expect_size=\"40370176\"] \n  16 -> 29 [size =\"40370176\"]\n  16 -> 31 [size =\"40370176\"]\n  16 -> 33 [size =\"40370176\"]\n  16 -> 35 [size =\"40370176\"]\n  16 -> 36 [size =\"40370176\"]\n  16 -> 39 [size =\"40370176\"]\n  16 -> 40 [size =\"40370176\"]\n  17 [size=\"118186667\", alpha=\"0.19\", expect_size=\"35456000\"] \n  17 -> 29 [size =\"35456000\"]\n  17 -> 39 [size =\"35456000\"]\n  18 [size=\"57852587\", alpha=\"0.02\", expect_size=\"17355776\"] \n  18 -> 35 [size =\"17355776\"]\n  18 -> 37 [size =\"17355776\"]\n  18 -> 38 [size =\"17355776\"]\n  18 -> 39 [size =\"17355776\"]\n  19 [size=\"33812480\", alpha=\"0.09\", expect_size=\"10143744\"] \n  19 -> 29 [size =\"10143744\"]\n  19 -> 32 [size =\"10143744\"]\n  19 -> 37 [size =\"10143744\"]\n  19 -> 39 [size =\"10143744\"]\n  19 -> 40 [size =\"10143744\"]\n  20 [size=\"116384427\", alpha=\"0.04\", expect_size=\"34915328\"] \n  20 -> 35 [size =\"34915328\"]\n  20 -> 37 [size =\"34915328\"]\n  20 -> 39 [size =\"34915328\"]\n  20 -> 39 [size =\"34915328\"]\n  21 [size=\"162628267\", alpha=\"0.08\", expect_size=\"48788480\"] \n  21 -> 29 [size =\"48788480\"]\n  21 -> 32 [size =\"48788480\"]\n  21 -> 36 [size =\"48788480\"]\n  21 -> 37 [size =\"48788480\"]\n  21 -> 39 [size =\"48788480\"]\n  22 [size=\"23429120\", alpha=\"0.16\", expect_size=\"7028736\"] \n  22 -> 37 [size =\"7028736\"]\n  22 -> 38 [size =\"7028736\"]\n  22 -> 40 [size =\"7028736\"]\n  23 [size=\"49390933\", alpha=\"0.08\", expect_size=\"14817280\"] \n  23 -> 32 [size =\"14817280\"]\n  23 -> 33 [size =\"14817280\"]\n  23 -> 35 [size =\"14817280\"]\n  23 -> 37 [size =\"14817280\"]\n  23 -> 39 [size =\"14817280\"]\n  24 [size=\"148026027\", alpha=\"0.08\", expect_size=\"44407808\"] \n  24 -> 28 [size =\"44407808\"]\n  24 -> 33 [size =\"44407808\"]\n  24 -> 35 [size =\"44407808\"]\n  24 -> 38 [size =\"44407808\"]\n  24 -> 40 [size =\"44407808\"]\n  25 [size=\"22603093\", alpha=\"0.02\", expect_size=\"6780928\"] \n  25 -> 28 [size =\"6780928\"]\n  25 -> 29 [size =\"6780928\"]\n  25 -> 32 [size =\"6780928\"]\n  25 -> 33 [size =\"6780928\"]\n  25 -> 36 [size =\"6780928\"]\n  25 -> 38 [size =\"6780928\"]\n  25 -> 39 [size =\"6780928\"]\n  25 -> 40 [size =\"6780928\"]\n  26 [size=\"88326827\", alpha=\"0.07\", expect_size=\"26498048\"] \n  26 -> 29 [size =\"26498048\"]\n  26 -> 29 [size =\"26498048\"]\n  26 -> 37 [size =\"26498048\"]\n  26 -> 40 [size =\"26498048\"]\n  27 [size=\"56497493\", alpha=\"0.04\", expect_size=\"16949248\"] \n  27 -> 33 [size =\"16949248\"]\n  27 -> 35 [size =\"16949248\"]\n  28 [size=\"46813867\", alpha=\"0.15\", expect_size=\"14044160\"] \n  29 [size=\"59883520\", alpha=\"0.08\", expect_size=\"17965056\"] \n  30 [size=\"128860160\", alpha=\"0.16\", expect_size=\"38658048\"] \n  31 [size=\"160853333\", alpha=\"0.13\", expect_size=\"48256000\"] \n  32 [size=\"63474347\", alpha=\"0.09\", expect_size=\"19042304\"] \n  33 [size=\"30808747\", alpha=\"0.18\", expect_size=\"9242624\"] \n  34 [size=\"95798613\", alpha=\"0.19\", expect_size=\"28739584\"] \n  35 [size=\"160402773\", alpha=\"0.04\", expect_size=\"48120832\"] \n  36 [size=\"18602667\", alpha=\"0.05\", expect_size=\"5580800\"] \n  37 [size=\"74308267\", alpha=\"0.18\", expect_size=\"22292480\"] \n  38 [size=\"107352747\", alpha=\"0.17\", expect_size=\"32205824\"] \n  39 [size=\"64389120\", alpha=\"0.17\", expect_size=\"19316736\"] \n  40 [size=\"123818667\", alpha=\"0.10\", expect_size=\"37145600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67530752\", alpha=\"0.06\", expect_size=\"33765376\"] \n  1 -> 2 [size =\"33765376\"]\n  2 [size=\"38232064\", alpha=\"0.00\", expect_size=\"19116032\"] \n  2 -> 3 [size =\"19116032\"]\n  3 [size=\"49709056\", alpha=\"0.11\", expect_size=\"24854528\"] \n  3 -> 4 [size =\"24854528\"]\n  4 [size=\"93952000\", alpha=\"0.12\", expect_size=\"46976000\"] \n  4 -> 5 [size =\"46976000\"]\n  5 [size=\"20881408\", alpha=\"0.19\", expect_size=\"10440704\"] \n  5 -> 6 [size =\"10440704\"]\n  6 [size=\"81291264\", alpha=\"0.05\", expect_size=\"40645632\"] \n  6 -> 7 [size =\"40645632\"]\n  7 [size=\"38705152\", alpha=\"0.18\", expect_size=\"19352576\"] \n  7 -> 8 [size =\"19352576\"]\n  8 [size=\"88637440\", alpha=\"0.14\", expect_size=\"44318720\"] \n  8 -> 9 [size =\"44318720\"]\n  9 [size=\"20916224\", alpha=\"0.03\", expect_size=\"10458112\"] \n  9 -> 10 [size =\"10458112\"]\n  10 [size=\"47589376\", alpha=\"0.15\", expect_size=\"23794688\"] \n  10 -> 11 [size =\"23794688\"]\n  11 [size=\"11530240\", alpha=\"0.07\", expect_size=\"5765120\"] \n  11 -> 12 [size =\"5765120\"]\n  12 [size=\"39831552\", alpha=\"0.03\", expect_size=\"19915776\"] \n  12 -> 13 [size =\"19915776\"]\n  13 [size=\"41424896\", alpha=\"0.00\", expect_size=\"20712448\"] \n  13 -> 14 [size =\"20712448\"]\n  14 [size=\"92219392\", alpha=\"0.02\", expect_size=\"46109696\"] \n  14 -> 15 [size =\"46109696\"]\n  15 [size=\"53540864\", alpha=\"0.05\", expect_size=\"26770432\"] \n  15 -> 16 [size =\"26770432\"]\n  16 [size=\"49967104\", alpha=\"0.11\", expect_size=\"24983552\"] \n  16 -> 17 [size =\"24983552\"]\n  17 [size=\"73054208\", alpha=\"0.07\", expect_size=\"36527104\"] \n  17 -> 18 [size =\"36527104\"]\n  18 [size=\"65134592\", alpha=\"0.18\", expect_size=\"32567296\"] \n  18 -> 19 [size =\"32567296\"]\n  19 [size=\"35532800\", alpha=\"0.14\", expect_size=\"17766400\"] \n  19 -> 20 [size =\"17766400\"]\n  20 [size=\"49694720\", alpha=\"0.04\", expect_size=\"24847360\"] \n  20 -> 21 [size =\"24847360\"]\n  21 [size=\"26992640\", alpha=\"0.06\", expect_size=\"13496320\"] \n  21 -> 22 [size =\"13496320\"]\n  22 [size=\"60633088\", alpha=\"0.14\", expect_size=\"30316544\"] \n  22 -> 23 [size =\"30316544\"]\n  23 [size=\"73928704\", alpha=\"0.10\", expect_size=\"36964352\"] \n  23 -> 24 [size =\"36964352\"]\n  24 [size=\"75249664\", alpha=\"0.04\", expect_size=\"37624832\"] \n  24 -> 25 [size =\"37624832\"]\n  25 [size=\"84987904\", alpha=\"0.01\", expect_size=\"42493952\"] \n  25 -> 26 [size =\"42493952\"]\n  26 [size=\"14616576\", alpha=\"0.12\", expect_size=\"7308288\"] \n  26 -> 27 [size =\"7308288\"]\n  27 [size=\"64425984\", alpha=\"0.09\", expect_size=\"32212992\"] \n  27 -> 28 [size =\"32212992\"]\n  28 [size=\"98869248\", alpha=\"0.03\", expect_size=\"49434624\"] \n  28 -> 29 [size =\"49434624\"]\n  29 [size=\"89163776\", alpha=\"0.19\", expect_size=\"44581888\"] \n  29 -> 30 [size =\"44581888\"]\n  30 [size=\"59262976\", alpha=\"0.03\", expect_size=\"29631488\"] \n  30 -> 31 [size =\"29631488\"]\n  31 [size=\"76838912\", alpha=\"0.07\", expect_size=\"38419456\"] \n  31 -> 32 [size =\"38419456\"]\n  32 [size=\"104566784\", alpha=\"0.17\", expect_size=\"52283392\"] \n  32 -> 33 [size =\"52283392\"]\n  33 [size=\"75821056\", alpha=\"0.14\", expect_size=\"37910528\"] \n  33 -> 34 [size =\"37910528\"]\n  34 [size=\"29827072\", alpha=\"0.08\", expect_size=\"14913536\"] \n  34 -> 35 [size =\"14913536\"]\n  35 [size=\"50049024\", alpha=\"0.11\", expect_size=\"25024512\"] \n  35 -> 36 [size =\"25024512\"]\n  36 [size=\"52514816\", alpha=\"0.03\", expect_size=\"26257408\"] \n  36 -> 37 [size =\"26257408\"]\n  37 [size=\"13658112\", alpha=\"0.08\", expect_size=\"6829056\"] \n  37 -> 38 [size =\"6829056\"]\n  38 [size=\"56072192\", alpha=\"0.04\", expect_size=\"28036096\"] \n  38 -> 39 [size =\"28036096\"]\n  39 [size=\"69167104\", alpha=\"0.06\", expect_size=\"34583552\"] \n  39 -> 40 [size =\"34583552\"]\n  40 [size=\"63373312\", alpha=\"0.16\", expect_size=\"31686656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65492480\", alpha=\"0.17\", expect_size=\"26196992\"] \n  1 -> 4 [size =\"26196992\"]\n  1 -> 5 [size =\"26196992\"]\n  2 [size=\"16647680\", alpha=\"0.06\", expect_size=\"6659072\"] \n  2 -> 5 [size =\"6659072\"]\n  2 -> 5 [size =\"6659072\"]\n  3 [size=\"125831680\", alpha=\"0.02\", expect_size=\"50332672\"] \n  4 [size=\"79895040\", alpha=\"0.08\", expect_size=\"31958016\"] \n  4 -> 7 [size =\"31958016\"]\n  4 -> 8 [size =\"31958016\"]\n  5 [size=\"40322560\", alpha=\"0.05\", expect_size=\"16129024\"] \n  5 -> 6 [size =\"16129024\"]\n  5 -> 7 [size =\"16129024\"]\n  6 [size=\"21908480\", alpha=\"0.02\", expect_size=\"8763392\"] \n  6 -> 10 [size =\"8763392\"]\n  6 -> 11 [size =\"8763392\"]\n  7 [size=\"103802880\", alpha=\"0.11\", expect_size=\"41521152\"] \n  8 [size=\"65996800\", alpha=\"0.10\", expect_size=\"26398720\"] \n  8 -> 9 [size =\"26398720\"]\n  8 -> 11 [size =\"26398720\"]\n  9 [size=\"71882240\", alpha=\"0.10\", expect_size=\"28752896\"] \n  9 -> 12 [size =\"28752896\"]\n  9 -> 13 [size =\"28752896\"]\n  10 [size=\"70008320\", alpha=\"0.03\", expect_size=\"28003328\"] \n  10 -> 13 [size =\"28003328\"]\n  11 [size=\"14735360\", alpha=\"0.14\", expect_size=\"5894144\"] \n  11 -> 13 [size =\"5894144\"]\n  12 [size=\"114334720\", alpha=\"0.18\", expect_size=\"45733888\"] \n  12 -> 15 [size =\"45733888\"]\n  13 [size=\"34293760\", alpha=\"0.10\", expect_size=\"13717504\"] \n  13 -> 14 [size =\"13717504\"]\n  14 [size=\"44272640\", alpha=\"0.04\", expect_size=\"17709056\"] \n  14 -> 16 [size =\"17709056\"]\n  14 -> 18 [size =\"17709056\"]\n  15 [size=\"94133760\", alpha=\"0.20\", expect_size=\"37653504\"] \n  15 -> 16 [size =\"37653504\"]\n  15 -> 17 [size =\"37653504\"]\n  15 -> 18 [size =\"37653504\"]\n  16 [size=\"122611200\", alpha=\"0.04\", expect_size=\"49044480\"] \n  16 -> 19 [size =\"49044480\"]\n  16 -> 20 [size =\"49044480\"]\n  16 -> 21 [size =\"49044480\"]\n  17 [size=\"16076800\", alpha=\"0.09\", expect_size=\"6430720\"] \n  18 [size=\"79208960\", alpha=\"0.09\", expect_size=\"31683584\"] \n  19 [size=\"17548800\", alpha=\"0.09\", expect_size=\"7019520\"] \n  19 -> 23 [size =\"7019520\"]\n  19 -> 24 [size =\"7019520\"]\n  20 [size=\"73976320\", alpha=\"0.15\", expect_size=\"29590528\"] \n  20 -> 23 [size =\"29590528\"]\n  20 -> 24 [size =\"29590528\"]\n  21 [size=\"94397440\", alpha=\"0.10\", expect_size=\"37758976\"] \n  21 -> 22 [size =\"37758976\"]\n  22 [size=\"60968960\", alpha=\"0.05\", expect_size=\"24387584\"] \n  22 -> 25 [size =\"24387584\"]\n  22 -> 26 [size =\"24387584\"]\n  23 [size=\"49858560\", alpha=\"0.19\", expect_size=\"19943424\"] \n  23 -> 25 [size =\"19943424\"]\n  23 -> 26 [size =\"19943424\"]\n  24 [size=\"110164480\", alpha=\"0.05\", expect_size=\"44065792\"] \n  24 -> 26 [size =\"44065792\"]\n  25 [size=\"16120320\", alpha=\"0.15\", expect_size=\"6448128\"] \n  25 -> 27 [size =\"6448128\"]\n  25 -> 28 [size =\"6448128\"]\n  26 [size=\"14863360\", alpha=\"0.07\", expect_size=\"5945344\"] \n  26 -> 27 [size =\"5945344\"]\n  27 [size=\"38248960\", alpha=\"0.14\", expect_size=\"15299584\"] \n  27 -> 29 [size =\"15299584\"]\n  27 -> 30 [size =\"15299584\"]\n  28 [size=\"93155840\", alpha=\"0.10\", expect_size=\"37262336\"] \n  28 -> 29 [size =\"37262336\"]\n  28 -> 30 [size =\"37262336\"]\n  29 [size=\"29949440\", alpha=\"0.16\", expect_size=\"11979776\"] \n  29 -> 31 [size =\"11979776\"]\n  29 -> 32 [size =\"11979776\"]\n  29 -> 33 [size =\"11979776\"]\n  30 [size=\"84748800\", alpha=\"0.11\", expect_size=\"33899520\"] \n  30 -> 32 [size =\"33899520\"]\n  31 [size=\"55183360\", alpha=\"0.07\", expect_size=\"22073344\"] \n  31 -> 35 [size =\"22073344\"]\n  32 [size=\"111610880\", alpha=\"0.01\", expect_size=\"44644352\"] \n  33 [size=\"21637120\", alpha=\"0.17\", expect_size=\"8654848\"] \n  33 -> 34 [size =\"8654848\"]\n  34 [size=\"15959040\", alpha=\"0.19\", expect_size=\"6383616\"] \n  34 -> 36 [size =\"6383616\"]\n  34 -> 37 [size =\"6383616\"]\n  34 -> 38 [size =\"6383616\"]\n  35 [size=\"43394560\", alpha=\"0.15\", expect_size=\"17357824\"] \n  35 -> 36 [size =\"17357824\"]\n  35 -> 37 [size =\"17357824\"]\n  36 [size=\"13199360\", alpha=\"0.09\", expect_size=\"5279744\"] \n  36 -> 40 [size =\"5279744\"]\n  37 [size=\"52136960\", alpha=\"0.04\", expect_size=\"20854784\"] \n  37 -> 39 [size =\"20854784\"]\n  38 [size=\"14978560\", alpha=\"0.10\", expect_size=\"5991424\"] \n  38 -> 40 [size =\"5991424\"]\n  39 [size=\"72578560\", alpha=\"0.17\", expect_size=\"29031424\"] \n  40 [size=\"47787520\", alpha=\"0.14\", expect_size=\"19115008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73699328\", alpha=\"0.16\", expect_size=\"36849664\"] \n  1 -> 2 [size =\"36849664\"]\n  2 [size=\"50427904\", alpha=\"0.16\", expect_size=\"25213952\"] \n  2 -> 3 [size =\"25213952\"]\n  3 [size=\"11020288\", alpha=\"0.13\", expect_size=\"5510144\"] \n  3 -> 4 [size =\"5510144\"]\n  4 [size=\"96688128\", alpha=\"0.01\", expect_size=\"48344064\"] \n  4 -> 5 [size =\"48344064\"]\n  5 [size=\"66664448\", alpha=\"0.18\", expect_size=\"33332224\"] \n  5 -> 6 [size =\"33332224\"]\n  6 [size=\"78909440\", alpha=\"0.12\", expect_size=\"39454720\"] \n  6 -> 7 [size =\"39454720\"]\n  7 [size=\"33630208\", alpha=\"0.08\", expect_size=\"16815104\"] \n  7 -> 8 [size =\"16815104\"]\n  8 [size=\"29466624\", alpha=\"0.05\", expect_size=\"14733312\"] \n  8 -> 9 [size =\"14733312\"]\n  9 [size=\"15626240\", alpha=\"0.09\", expect_size=\"7813120\"] \n  9 -> 10 [size =\"7813120\"]\n  10 [size=\"100429824\", alpha=\"0.18\", expect_size=\"50214912\"] \n  10 -> 11 [size =\"50214912\"]\n  11 [size=\"76599296\", alpha=\"0.02\", expect_size=\"38299648\"] \n  11 -> 12 [size =\"38299648\"]\n  12 [size=\"57942016\", alpha=\"0.10\", expect_size=\"28971008\"] \n  12 -> 13 [size =\"28971008\"]\n  13 [size=\"41254912\", alpha=\"0.00\", expect_size=\"20627456\"] \n  13 -> 14 [size =\"20627456\"]\n  14 [size=\"104368128\", alpha=\"0.03\", expect_size=\"52184064\"] \n  14 -> 15 [size =\"52184064\"]\n  15 [size=\"13205504\", alpha=\"0.19\", expect_size=\"6602752\"] \n  15 -> 16 [size =\"6602752\"]\n  16 [size=\"98578432\", alpha=\"0.00\", expect_size=\"49289216\"] \n  16 -> 17 [size =\"49289216\"]\n  17 [size=\"58560512\", alpha=\"0.09\", expect_size=\"29280256\"] \n  17 -> 18 [size =\"29280256\"]\n  18 [size=\"97902592\", alpha=\"0.08\", expect_size=\"48951296\"] \n  18 -> 19 [size =\"48951296\"]\n  19 [size=\"29319168\", alpha=\"0.04\", expect_size=\"14659584\"] \n  19 -> 20 [size =\"14659584\"]\n  20 [size=\"70952960\", alpha=\"0.16\", expect_size=\"35476480\"] \n  20 -> 21 [size =\"35476480\"]\n  21 [size=\"63121408\", alpha=\"0.02\", expect_size=\"31560704\"] \n  21 -> 22 [size =\"31560704\"]\n  22 [size=\"74543104\", alpha=\"0.17\", expect_size=\"37271552\"] \n  22 -> 23 [size =\"37271552\"]\n  23 [size=\"26894336\", alpha=\"0.11\", expect_size=\"13447168\"] \n  23 -> 24 [size =\"13447168\"]\n  24 [size=\"28676096\", alpha=\"0.04\", expect_size=\"14338048\"] \n  24 -> 25 [size =\"14338048\"]\n  25 [size=\"41494528\", alpha=\"0.09\", expect_size=\"20747264\"] \n  25 -> 26 [size =\"20747264\"]\n  26 [size=\"36976640\", alpha=\"0.08\", expect_size=\"18488320\"] \n  26 -> 27 [size =\"18488320\"]\n  27 [size=\"39047168\", alpha=\"0.12\", expect_size=\"19523584\"] \n  27 -> 28 [size =\"19523584\"]\n  28 [size=\"80107520\", alpha=\"0.20\", expect_size=\"40053760\"] \n  28 -> 29 [size =\"40053760\"]\n  29 [size=\"23246848\", alpha=\"0.09\", expect_size=\"11623424\"] \n  29 -> 30 [size =\"11623424\"]\n  30 [size=\"41814016\", alpha=\"0.17\", expect_size=\"20907008\"] \n  30 -> 31 [size =\"20907008\"]\n  31 [size=\"24991744\", alpha=\"0.19\", expect_size=\"12495872\"] \n  31 -> 32 [size =\"12495872\"]\n  32 [size=\"35995648\", alpha=\"0.12\", expect_size=\"17997824\"] \n  32 -> 33 [size =\"17997824\"]\n  33 [size=\"20396032\", alpha=\"0.11\", expect_size=\"10198016\"] \n  33 -> 34 [size =\"10198016\"]\n  34 [size=\"73101312\", alpha=\"0.09\", expect_size=\"36550656\"] \n  34 -> 35 [size =\"36550656\"]\n  35 [size=\"91568128\", alpha=\"0.09\", expect_size=\"45784064\"] \n  35 -> 36 [size =\"45784064\"]\n  36 [size=\"37609472\", alpha=\"0.07\", expect_size=\"18804736\"] \n  36 -> 37 [size =\"18804736\"]\n  37 [size=\"74016768\", alpha=\"0.15\", expect_size=\"37008384\"] \n  37 -> 38 [size =\"37008384\"]\n  38 [size=\"35192832\", alpha=\"0.01\", expect_size=\"17596416\"] \n  38 -> 39 [size =\"17596416\"]\n  39 [size=\"34490368\", alpha=\"0.12\", expect_size=\"17245184\"] \n  39 -> 40 [size =\"17245184\"]\n  40 [size=\"77053952\", alpha=\"0.16\", expect_size=\"38526976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171001173\", alpha=\"0.13\", expect_size=\"51300352\"] \n  1 -> 2 [size =\"51300352\"]\n  2 [size=\"124132693\", alpha=\"0.18\", expect_size=\"37239808\"] \n  2 -> 3 [size =\"37239808\"]\n  3 [size=\"66150400\", alpha=\"0.05\", expect_size=\"19845120\"] \n  3 -> 4 [size =\"19845120\"]\n  4 [size=\"45370027\", alpha=\"0.14\", expect_size=\"13611008\"] \n  4 -> 5 [size =\"13611008\"]\n  5 [size=\"146100907\", alpha=\"0.19\", expect_size=\"43830272\"] \n  5 -> 6 [size =\"43830272\"]\n  6 [size=\"52278613\", alpha=\"0.03\", expect_size=\"15683584\"] \n  6 -> 7 [size =\"15683584\"]\n  7 [size=\"63020373\", alpha=\"0.06\", expect_size=\"18906112\"] \n  7 -> 8 [size =\"18906112\"]\n  8 [size=\"164348587\", alpha=\"0.07\", expect_size=\"49304576\"] \n  8 -> 9 [size =\"49304576\"]\n  9 [size=\"154507947\", alpha=\"0.16\", expect_size=\"46352384\"] \n  9 -> 10 [size =\"46352384\"]\n  10 [size=\"65273173\", alpha=\"0.03\", expect_size=\"19581952\"] \n  10 -> 11 [size =\"19581952\"]\n  11 [size=\"109250560\", alpha=\"0.12\", expect_size=\"32775168\"] \n  11 -> 12 [size =\"32775168\"]\n  12 [size=\"56255147\", alpha=\"0.12\", expect_size=\"16876544\"] \n  12 -> 13 [size =\"16876544\"]\n  13 [size=\"37707093\", alpha=\"0.06\", expect_size=\"11312128\"] \n  13 -> 14 [size =\"11312128\"]\n  14 [size=\"75704320\", alpha=\"0.17\", expect_size=\"22711296\"] \n  14 -> 15 [size =\"22711296\"]\n  15 [size=\"30388907\", alpha=\"0.09\", expect_size=\"9116672\"] \n  15 -> 16 [size =\"9116672\"]\n  16 [size=\"21360640\", alpha=\"0.01\", expect_size=\"6408192\"] \n  16 -> 17 [size =\"6408192\"]\n  17 [size=\"47264427\", alpha=\"0.17\", expect_size=\"14179328\"] \n  17 -> 18 [size =\"14179328\"]\n  18 [size=\"94815573\", alpha=\"0.18\", expect_size=\"28444672\"] \n  18 -> 19 [size =\"28444672\"]\n  19 [size=\"145933653\", alpha=\"0.11\", expect_size=\"43780096\"] \n  19 -> 20 [size =\"43780096\"]\n  20 [size=\"111807147\", alpha=\"0.16\", expect_size=\"33542144\"] \n  20 -> 21 [size =\"33542144\"]\n  21 [size=\"138298027\", alpha=\"0.00\", expect_size=\"41489408\"] \n  21 -> 22 [size =\"41489408\"]\n  22 [size=\"78725120\", alpha=\"0.18\", expect_size=\"23617536\"] \n  22 -> 23 [size =\"23617536\"]\n  23 [size=\"174107307\", alpha=\"0.02\", expect_size=\"52232192\"] \n  23 -> 24 [size =\"52232192\"]\n  24 [size=\"60552533\", alpha=\"0.10\", expect_size=\"18165760\"] \n  24 -> 25 [size =\"18165760\"]\n  25 [size=\"39864320\", alpha=\"0.14\", expect_size=\"11959296\"] \n  25 -> 26 [size =\"11959296\"]\n  26 [size=\"112203093\", alpha=\"0.03\", expect_size=\"33660928\"] \n  26 -> 27 [size =\"33660928\"]\n  27 [size=\"121828693\", alpha=\"0.17\", expect_size=\"36548608\"] \n  27 -> 28 [size =\"36548608\"]\n  28 [size=\"96535893\", alpha=\"0.10\", expect_size=\"28960768\"] \n  28 -> 29 [size =\"28960768\"]\n  29 [size=\"81083733\", alpha=\"0.00\", expect_size=\"24325120\"] \n  29 -> 30 [size =\"24325120\"]\n  30 [size=\"169301333\", alpha=\"0.16\", expect_size=\"50790400\"] \n  30 -> 31 [size =\"50790400\"]\n  31 [size=\"138274133\", alpha=\"0.05\", expect_size=\"41482240\"] \n  31 -> 32 [size =\"41482240\"]\n  32 [size=\"141537280\", alpha=\"0.18\", expect_size=\"42461184\"] \n  32 -> 33 [size =\"42461184\"]\n  33 [size=\"128453973\", alpha=\"0.13\", expect_size=\"38536192\"] \n  33 -> 34 [size =\"38536192\"]\n  34 [size=\"147701760\", alpha=\"0.16\", expect_size=\"44310528\"] \n  34 -> 35 [size =\"44310528\"]\n  35 [size=\"69888000\", alpha=\"0.01\", expect_size=\"20966400\"] \n  35 -> 36 [size =\"20966400\"]\n  36 [size=\"23644160\", alpha=\"0.06\", expect_size=\"7093248\"] \n  36 -> 37 [size =\"7093248\"]\n  37 [size=\"43769173\", alpha=\"0.15\", expect_size=\"13130752\"] \n  37 -> 38 [size =\"13130752\"]\n  38 [size=\"18527573\", alpha=\"0.14\", expect_size=\"5558272\"] \n  38 -> 39 [size =\"5558272\"]\n  39 [size=\"94788267\", alpha=\"0.09\", expect_size=\"28436480\"] \n  39 -> 40 [size =\"28436480\"]\n  40 [size=\"95016960\", alpha=\"0.16\", expect_size=\"28505088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169318400\", alpha=\"0.19\", expect_size=\"50795520\"] \n  1 -> 28 [size =\"50795520\"]\n  1 -> 31 [size =\"50795520\"]\n  1 -> 36 [size =\"50795520\"]\n  1 -> 37 [size =\"50795520\"]\n  1 -> 39 [size =\"50795520\"]\n  2 [size=\"156730027\", alpha=\"0.07\", expect_size=\"47019008\"] \n  2 -> 28 [size =\"47019008\"]\n  2 -> 31 [size =\"47019008\"]\n  2 -> 34 [size =\"47019008\"]\n  2 -> 37 [size =\"47019008\"]\n  2 -> 38 [size =\"47019008\"]\n  3 [size=\"26825387\", alpha=\"0.01\", expect_size=\"8047616\"] \n  3 -> 28 [size =\"8047616\"]\n  3 -> 31 [size =\"8047616\"]\n  3 -> 36 [size =\"8047616\"]\n  3 -> 38 [size =\"8047616\"]\n  4 [size=\"148374187\", alpha=\"0.08\", expect_size=\"44512256\"] \n  4 -> 28 [size =\"44512256\"]\n  4 -> 31 [size =\"44512256\"]\n  4 -> 36 [size =\"44512256\"]\n  4 -> 39 [size =\"44512256\"]\n  4 -> 40 [size =\"44512256\"]\n  5 [size=\"46827520\", alpha=\"0.06\", expect_size=\"14048256\"] \n  5 -> 28 [size =\"14048256\"]\n  5 -> 29 [size =\"14048256\"]\n  5 -> 31 [size =\"14048256\"]\n  5 -> 37 [size =\"14048256\"]\n  6 [size=\"30405973\", alpha=\"0.07\", expect_size=\"9121792\"] \n  6 -> 28 [size =\"9121792\"]\n  6 -> 29 [size =\"9121792\"]\n  6 -> 30 [size =\"9121792\"]\n  6 -> 39 [size =\"9121792\"]\n  7 [size=\"71857493\", alpha=\"0.07\", expect_size=\"21557248\"] \n  7 -> 28 [size =\"21557248\"]\n  8 [size=\"74345813\", alpha=\"0.11\", expect_size=\"22303744\"] \n  8 -> 39 [size =\"22303744\"]\n  9 [size=\"37515947\", alpha=\"0.09\", expect_size=\"11254784\"] \n  9 -> 37 [size =\"11254784\"]\n  10 [size=\"85647360\", alpha=\"0.00\", expect_size=\"25694208\"] \n  10 -> 32 [size =\"25694208\"]\n  10 -> 38 [size =\"25694208\"]\n  11 [size=\"125272747\", alpha=\"0.17\", expect_size=\"37581824\"] \n  11 -> 35 [size =\"37581824\"]\n  11 -> 37 [size =\"37581824\"]\n  11 -> 39 [size =\"37581824\"]\n  12 [size=\"114336427\", alpha=\"0.15\", expect_size=\"34300928\"] \n  12 -> 29 [size =\"34300928\"]\n  12 -> 33 [size =\"34300928\"]\n  12 -> 35 [size =\"34300928\"]\n  12 -> 36 [size =\"34300928\"]\n  12 -> 39 [size =\"34300928\"]\n  13 [size=\"165700267\", alpha=\"0.19\", expect_size=\"49710080\"] \n  13 -> 33 [size =\"49710080\"]\n  13 -> 36 [size =\"49710080\"]\n  13 -> 39 [size =\"49710080\"]\n  14 [size=\"169867947\", alpha=\"0.15\", expect_size=\"50960384\"] \n  14 -> 34 [size =\"50960384\"]\n  14 -> 40 [size =\"50960384\"]\n  15 [size=\"74765653\", alpha=\"0.15\", expect_size=\"22429696\"] \n  15 -> 33 [size =\"22429696\"]\n  15 -> 34 [size =\"22429696\"]\n  15 -> 36 [size =\"22429696\"]\n  15 -> 38 [size =\"22429696\"]\n  15 -> 40 [size =\"22429696\"]\n  16 [size=\"124497920\", alpha=\"0.19\", expect_size=\"37349376\"] \n  16 -> 29 [size =\"37349376\"]\n  16 -> 33 [size =\"37349376\"]\n  16 -> 34 [size =\"37349376\"]\n  16 -> 36 [size =\"37349376\"]\n  16 -> 37 [size =\"37349376\"]\n  16 -> 38 [size =\"37349376\"]\n  16 -> 39 [size =\"37349376\"]\n  17 [size=\"24541867\", alpha=\"0.18\", expect_size=\"7362560\"] \n  17 -> 31 [size =\"7362560\"]\n  17 -> 34 [size =\"7362560\"]\n  17 -> 36 [size =\"7362560\"]\n  17 -> 38 [size =\"7362560\"]\n  17 -> 39 [size =\"7362560\"]\n  18 [size=\"83432107\", alpha=\"0.20\", expect_size=\"25029632\"] \n  18 -> 28 [size =\"25029632\"]\n  18 -> 29 [size =\"25029632\"]\n  18 -> 31 [size =\"25029632\"]\n  19 [size=\"168502613\", alpha=\"0.06\", expect_size=\"50550784\"] \n  19 -> 29 [size =\"50550784\"]\n  19 -> 39 [size =\"50550784\"]\n  20 [size=\"79691093\", alpha=\"0.16\", expect_size=\"23907328\"] \n  20 -> 39 [size =\"23907328\"]\n  21 [size=\"79725227\", alpha=\"0.06\", expect_size=\"23917568\"] \n  21 -> 37 [size =\"23917568\"]\n  21 -> 40 [size =\"23917568\"]\n  22 [size=\"54510933\", alpha=\"0.13\", expect_size=\"16353280\"] \n  22 -> 36 [size =\"16353280\"]\n  22 -> 38 [size =\"16353280\"]\n  23 [size=\"172066133\", alpha=\"0.01\", expect_size=\"51619840\"] \n  23 -> 33 [size =\"51619840\"]\n  23 -> 34 [size =\"51619840\"]\n  23 -> 36 [size =\"51619840\"]\n  23 -> 40 [size =\"51619840\"]\n  24 [size=\"167973547\", alpha=\"0.06\", expect_size=\"50392064\"] \n  24 -> 28 [size =\"50392064\"]\n  24 -> 36 [size =\"50392064\"]\n  24 -> 37 [size =\"50392064\"]\n  24 -> 38 [size =\"50392064\"]\n  24 -> 39 [size =\"50392064\"]\n  24 -> 40 [size =\"50392064\"]\n  25 [size=\"131730773\", alpha=\"0.14\", expect_size=\"39519232\"] \n  25 -> 28 [size =\"39519232\"]\n  25 -> 31 [size =\"39519232\"]\n  25 -> 33 [size =\"39519232\"]\n  25 -> 36 [size =\"39519232\"]\n  26 [size=\"89408853\", alpha=\"0.04\", expect_size=\"26822656\"] \n  26 -> 28 [size =\"26822656\"]\n  26 -> 36 [size =\"26822656\"]\n  26 -> 39 [size =\"26822656\"]\n  27 [size=\"85391360\", alpha=\"0.02\", expect_size=\"25617408\"] \n  27 -> 28 [size =\"25617408\"]\n  27 -> 31 [size =\"25617408\"]\n  27 -> 34 [size =\"25617408\"]\n  27 -> 37 [size =\"25617408\"]\n  28 [size=\"72768853\", alpha=\"0.06\", expect_size=\"21830656\"] \n  29 [size=\"69911893\", alpha=\"0.13\", expect_size=\"20973568\"] \n  30 [size=\"119814827\", alpha=\"0.08\", expect_size=\"35944448\"] \n  31 [size=\"90951680\", alpha=\"0.18\", expect_size=\"27285504\"] \n  32 [size=\"135164587\", alpha=\"0.19\", expect_size=\"40549376\"] \n  33 [size=\"77141333\", alpha=\"0.20\", expect_size=\"23142400\"] \n  34 [size=\"83517440\", alpha=\"0.20\", expect_size=\"25055232\"] \n  35 [size=\"127907840\", alpha=\"0.07\", expect_size=\"38372352\"] \n  36 [size=\"82377387\", alpha=\"0.07\", expect_size=\"24713216\"] \n  37 [size=\"117149013\", alpha=\"0.09\", expect_size=\"35144704\"] \n  38 [size=\"129320960\", alpha=\"0.19\", expect_size=\"38796288\"] \n  39 [size=\"18472960\", alpha=\"0.08\", expect_size=\"5541888\"] \n  40 [size=\"119224320\", alpha=\"0.05\", expect_size=\"35767296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142216533\", alpha=\"0.02\", expect_size=\"42664960\"] \n  1 -> 14 [size =\"42664960\"]\n  1 -> 15 [size =\"42664960\"]\n  1 -> 16 [size =\"42664960\"]\n  1 -> 17 [size =\"42664960\"]\n  1 -> 18 [size =\"42664960\"]\n  1 -> 19 [size =\"42664960\"]\n  1 -> 20 [size =\"42664960\"]\n  1 -> 22 [size =\"42664960\"]\n  2 [size=\"81954133\", alpha=\"0.18\", expect_size=\"24586240\"] \n  2 -> 14 [size =\"24586240\"]\n  2 -> 15 [size =\"24586240\"]\n  2 -> 16 [size =\"24586240\"]\n  2 -> 17 [size =\"24586240\"]\n  2 -> 20 [size =\"24586240\"]\n  2 -> 22 [size =\"24586240\"]\n  3 [size=\"23336960\", alpha=\"0.12\", expect_size=\"7001088\"] \n  3 -> 14 [size =\"7001088\"]\n  3 -> 15 [size =\"7001088\"]\n  3 -> 16 [size =\"7001088\"]\n  3 -> 17 [size =\"7001088\"]\n  3 -> 22 [size =\"7001088\"]\n  3 -> 22 [size =\"7001088\"]\n  4 [size=\"173018453\", alpha=\"0.07\", expect_size=\"51905536\"] \n  4 -> 14 [size =\"51905536\"]\n  4 -> 15 [size =\"51905536\"]\n  4 -> 16 [size =\"51905536\"]\n  4 -> 19 [size =\"51905536\"]\n  4 -> 21 [size =\"51905536\"]\n  4 -> 22 [size =\"51905536\"]\n  4 -> 26 [size =\"51905536\"]\n  5 [size=\"43769173\", alpha=\"0.02\", expect_size=\"13130752\"] \n  5 -> 14 [size =\"13130752\"]\n  5 -> 16 [size =\"13130752\"]\n  5 -> 19 [size =\"13130752\"]\n  5 -> 22 [size =\"13130752\"]\n  5 -> 24 [size =\"13130752\"]\n  6 [size=\"123374933\", alpha=\"0.01\", expect_size=\"37012480\"] \n  6 -> 14 [size =\"37012480\"]\n  6 -> 18 [size =\"37012480\"]\n  6 -> 21 [size =\"37012480\"]\n  6 -> 22 [size =\"37012480\"]\n  7 [size=\"58664960\", alpha=\"0.20\", expect_size=\"17599488\"] \n  7 -> 14 [size =\"17599488\"]\n  7 -> 15 [size =\"17599488\"]\n  7 -> 16 [size =\"17599488\"]\n  7 -> 18 [size =\"17599488\"]\n  7 -> 19 [size =\"17599488\"]\n  7 -> 22 [size =\"17599488\"]\n  7 -> 23 [size =\"17599488\"]\n  7 -> 24 [size =\"17599488\"]\n  7 -> 25 [size =\"17599488\"]\n  8 [size=\"92559360\", alpha=\"0.14\", expect_size=\"27767808\"] \n  8 -> 14 [size =\"27767808\"]\n  8 -> 15 [size =\"27767808\"]\n  8 -> 18 [size =\"27767808\"]\n  8 -> 19 [size =\"27767808\"]\n  8 -> 22 [size =\"27767808\"]\n  9 [size=\"110830933\", alpha=\"0.04\", expect_size=\"33249280\"] \n  9 -> 15 [size =\"33249280\"]\n  9 -> 15 [size =\"33249280\"]\n  9 -> 25 [size =\"33249280\"]\n  9 -> 26 [size =\"33249280\"]\n  10 [size=\"75571200\", alpha=\"0.15\", expect_size=\"22671360\"] \n  10 -> 15 [size =\"22671360\"]\n  10 -> 19 [size =\"22671360\"]\n  10 -> 24 [size =\"22671360\"]\n  11 [size=\"71290880\", alpha=\"0.02\", expect_size=\"21387264\"] \n  11 -> 14 [size =\"21387264\"]\n  11 -> 16 [size =\"21387264\"]\n  11 -> 19 [size =\"21387264\"]\n  11 -> 22 [size =\"21387264\"]\n  11 -> 24 [size =\"21387264\"]\n  11 -> 26 [size =\"21387264\"]\n  12 [size=\"90391893\", alpha=\"0.15\", expect_size=\"27117568\"] \n  12 -> 14 [size =\"27117568\"]\n  12 -> 15 [size =\"27117568\"]\n  12 -> 16 [size =\"27117568\"]\n  12 -> 17 [size =\"27117568\"]\n  12 -> 18 [size =\"27117568\"]\n  12 -> 19 [size =\"27117568\"]\n  12 -> 22 [size =\"27117568\"]\n  12 -> 24 [size =\"27117568\"]\n  13 [size=\"72482133\", alpha=\"0.18\", expect_size=\"21744640\"] \n  13 -> 14 [size =\"21744640\"]\n  13 -> 15 [size =\"21744640\"]\n  13 -> 16 [size =\"21744640\"]\n  13 -> 19 [size =\"21744640\"]\n  13 -> 22 [size =\"21744640\"]\n  13 -> 23 [size =\"21744640\"]\n  13 -> 24 [size =\"21744640\"]\n  13 -> 24 [size =\"21744640\"]\n  14 [size=\"164741120\", alpha=\"0.01\", expect_size=\"49422336\"] \n  14 -> 28 [size =\"49422336\"]\n  14 -> 30 [size =\"49422336\"]\n  14 -> 31 [size =\"49422336\"]\n  14 -> 32 [size =\"49422336\"]\n  14 -> 34 [size =\"49422336\"]\n  14 -> 36 [size =\"49422336\"]\n  14 -> 37 [size =\"49422336\"]\n  14 -> 38 [size =\"49422336\"]\n  14 -> 39 [size =\"49422336\"]\n  15 [size=\"65160533\", alpha=\"0.03\", expect_size=\"19548160\"] \n  15 -> 27 [size =\"19548160\"]\n  15 -> 29 [size =\"19548160\"]\n  15 -> 31 [size =\"19548160\"]\n  15 -> 34 [size =\"19548160\"]\n  15 -> 34 [size =\"19548160\"]\n  15 -> 35 [size =\"19548160\"]\n  15 -> 37 [size =\"19548160\"]\n  15 -> 38 [size =\"19548160\"]\n  15 -> 39 [size =\"19548160\"]\n  16 [size=\"83073707\", alpha=\"0.03\", expect_size=\"24922112\"] \n  16 -> 29 [size =\"24922112\"]\n  16 -> 31 [size =\"24922112\"]\n  16 -> 31 [size =\"24922112\"]\n  16 -> 32 [size =\"24922112\"]\n  16 -> 37 [size =\"24922112\"]\n  16 -> 39 [size =\"24922112\"]\n  17 [size=\"88555520\", alpha=\"0.04\", expect_size=\"26566656\"] \n  17 -> 28 [size =\"26566656\"]\n  17 -> 29 [size =\"26566656\"]\n  17 -> 30 [size =\"26566656\"]\n  17 -> 31 [size =\"26566656\"]\n  17 -> 33 [size =\"26566656\"]\n  17 -> 36 [size =\"26566656\"]\n  17 -> 37 [size =\"26566656\"]\n  17 -> 39 [size =\"26566656\"]\n  18 [size=\"88425813\", alpha=\"0.05\", expect_size=\"26527744\"] \n  18 -> 28 [size =\"26527744\"]\n  18 -> 29 [size =\"26527744\"]\n  18 -> 31 [size =\"26527744\"]\n  18 -> 31 [size =\"26527744\"]\n  18 -> 32 [size =\"26527744\"]\n  18 -> 36 [size =\"26527744\"]\n  18 -> 37 [size =\"26527744\"]\n  18 -> 39 [size =\"26527744\"]\n  19 [size=\"41325227\", alpha=\"0.06\", expect_size=\"12397568\"] \n  19 -> 28 [size =\"12397568\"]\n  19 -> 29 [size =\"12397568\"]\n  19 -> 30 [size =\"12397568\"]\n  19 -> 31 [size =\"12397568\"]\n  19 -> 38 [size =\"12397568\"]\n  20 [size=\"72936107\", alpha=\"0.18\", expect_size=\"21880832\"] \n  20 -> 27 [size =\"21880832\"]\n  20 -> 34 [size =\"21880832\"]\n  20 -> 36 [size =\"21880832\"]\n  20 -> 37 [size =\"21880832\"]\n  20 -> 38 [size =\"21880832\"]\n  21 [size=\"36205227\", alpha=\"0.06\", expect_size=\"10861568\"] \n  21 -> 28 [size =\"10861568\"]\n  21 -> 29 [size =\"10861568\"]\n  21 -> 36 [size =\"10861568\"]\n  21 -> 38 [size =\"10861568\"]\n  21 -> 39 [size =\"10861568\"]\n  22 [size=\"49960960\", alpha=\"0.02\", expect_size=\"14988288\"] \n  22 -> 28 [size =\"14988288\"]\n  22 -> 29 [size =\"14988288\"]\n  22 -> 33 [size =\"14988288\"]\n  22 -> 36 [size =\"14988288\"]\n  22 -> 39 [size =\"14988288\"]\n  23 [size=\"168065707\", alpha=\"0.20\", expect_size=\"50419712\"] \n  23 -> 28 [size =\"50419712\"]\n  23 -> 29 [size =\"50419712\"]\n  23 -> 30 [size =\"50419712\"]\n  23 -> 33 [size =\"50419712\"]\n  23 -> 34 [size =\"50419712\"]\n  23 -> 39 [size =\"50419712\"]\n  24 [size=\"152135680\", alpha=\"0.16\", expect_size=\"45640704\"] \n  24 -> 27 [size =\"45640704\"]\n  24 -> 28 [size =\"45640704\"]\n  24 -> 29 [size =\"45640704\"]\n  24 -> 32 [size =\"45640704\"]\n  24 -> 33 [size =\"45640704\"]\n  24 -> 36 [size =\"45640704\"]\n  24 -> 38 [size =\"45640704\"]\n  24 -> 39 [size =\"45640704\"]\n  25 [size=\"161416533\", alpha=\"0.17\", expect_size=\"48424960\"] \n  25 -> 27 [size =\"48424960\"]\n  25 -> 29 [size =\"48424960\"]\n  25 -> 31 [size =\"48424960\"]\n  25 -> 34 [size =\"48424960\"]\n  25 -> 38 [size =\"48424960\"]\n  25 -> 39 [size =\"48424960\"]\n  26 [size=\"29057707\", alpha=\"0.10\", expect_size=\"8717312\"] \n  26 -> 28 [size =\"8717312\"]\n  26 -> 30 [size =\"8717312\"]\n  26 -> 31 [size =\"8717312\"]\n  26 -> 32 [size =\"8717312\"]\n  26 -> 36 [size =\"8717312\"]\n  26 -> 37 [size =\"8717312\"]\n  26 -> 38 [size =\"8717312\"]\n  26 -> 39 [size =\"8717312\"]\n  27 [size=\"50401280\", alpha=\"0.09\", expect_size=\"15120384\"] \n  27 -> 40 [size =\"15120384\"]\n  28 [size=\"85602987\", alpha=\"0.18\", expect_size=\"25680896\"] \n  29 [size=\"125248853\", alpha=\"0.18\", expect_size=\"37574656\"] \n  30 [size=\"170994347\", alpha=\"0.05\", expect_size=\"51298304\"] \n  31 [size=\"155781120\", alpha=\"0.00\", expect_size=\"46734336\"] \n  31 -> 40 [size =\"46734336\"]\n  32 [size=\"47059627\", alpha=\"0.04\", expect_size=\"14117888\"] \n  33 [size=\"66597547\", alpha=\"0.15\", expect_size=\"19979264\"] \n  34 [size=\"62976000\", alpha=\"0.04\", expect_size=\"18892800\"] \n  34 -> 40 [size =\"18892800\"]\n  35 [size=\"34447360\", alpha=\"0.20\", expect_size=\"10334208\"] \n  36 [size=\"164597760\", alpha=\"0.04\", expect_size=\"49379328\"] \n  37 [size=\"87470080\", alpha=\"0.17\", expect_size=\"26241024\"] \n  38 [size=\"158825813\", alpha=\"0.19\", expect_size=\"47647744\"] \n  39 [size=\"139182080\", alpha=\"0.04\", expect_size=\"41754624\"] \n  40 [size=\"121890133\", alpha=\"0.16\", expect_size=\"36567040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60945067\", alpha=\"0.12\", expect_size=\"18283520\"] \n  1 -> 2 [size =\"18283520\"]\n  2 [size=\"121999360\", alpha=\"0.14\", expect_size=\"36599808\"] \n  2 -> 3 [size =\"36599808\"]\n  3 [size=\"166765227\", alpha=\"0.07\", expect_size=\"50029568\"] \n  3 -> 4 [size =\"50029568\"]\n  4 [size=\"87831893\", alpha=\"0.19\", expect_size=\"26349568\"] \n  4 -> 5 [size =\"26349568\"]\n  5 [size=\"31245653\", alpha=\"0.15\", expect_size=\"9373696\"] \n  5 -> 6 [size =\"9373696\"]\n  6 [size=\"102656000\", alpha=\"0.14\", expect_size=\"30796800\"] \n  6 -> 7 [size =\"30796800\"]\n  7 [size=\"37454507\", alpha=\"0.17\", expect_size=\"11236352\"] \n  7 -> 8 [size =\"11236352\"]\n  8 [size=\"104246613\", alpha=\"0.18\", expect_size=\"31273984\"] \n  8 -> 9 [size =\"31273984\"]\n  9 [size=\"40144213\", alpha=\"0.12\", expect_size=\"12043264\"] \n  9 -> 10 [size =\"12043264\"]\n  10 [size=\"174035627\", alpha=\"0.16\", expect_size=\"52210688\"] \n  10 -> 11 [size =\"52210688\"]\n  11 [size=\"114411520\", alpha=\"0.11\", expect_size=\"34323456\"] \n  11 -> 12 [size =\"34323456\"]\n  12 [size=\"49397760\", alpha=\"0.18\", expect_size=\"14819328\"] \n  12 -> 13 [size =\"14819328\"]\n  13 [size=\"163102720\", alpha=\"0.05\", expect_size=\"48930816\"] \n  13 -> 14 [size =\"48930816\"]\n  14 [size=\"59641173\", alpha=\"0.02\", expect_size=\"17892352\"] \n  14 -> 15 [size =\"17892352\"]\n  15 [size=\"52340053\", alpha=\"0.13\", expect_size=\"15702016\"] \n  15 -> 16 [size =\"15702016\"]\n  16 [size=\"173663573\", alpha=\"0.12\", expect_size=\"52099072\"] \n  16 -> 17 [size =\"52099072\"]\n  17 [size=\"127143253\", alpha=\"0.17\", expect_size=\"38142976\"] \n  17 -> 18 [size =\"38142976\"]\n  18 [size=\"104048640\", alpha=\"0.16\", expect_size=\"31214592\"] \n  18 -> 19 [size =\"31214592\"]\n  19 [size=\"88159573\", alpha=\"0.14\", expect_size=\"26447872\"] \n  19 -> 20 [size =\"26447872\"]\n  20 [size=\"25671680\", alpha=\"0.16\", expect_size=\"7701504\"] \n  20 -> 21 [size =\"7701504\"]\n  21 [size=\"151961600\", alpha=\"0.03\", expect_size=\"45588480\"] \n  21 -> 22 [size =\"45588480\"]\n  22 [size=\"82053120\", alpha=\"0.04\", expect_size=\"24615936\"] \n  22 -> 23 [size =\"24615936\"]\n  23 [size=\"65785173\", alpha=\"0.03\", expect_size=\"19735552\"] \n  23 -> 24 [size =\"19735552\"]\n  24 [size=\"107253760\", alpha=\"0.12\", expect_size=\"32176128\"] \n  24 -> 25 [size =\"32176128\"]\n  25 [size=\"126631253\", alpha=\"0.02\", expect_size=\"37989376\"] \n  25 -> 26 [size =\"37989376\"]\n  26 [size=\"70891520\", alpha=\"0.04\", expect_size=\"21267456\"] \n  26 -> 27 [size =\"21267456\"]\n  27 [size=\"165130240\", alpha=\"0.07\", expect_size=\"49539072\"] \n  27 -> 28 [size =\"49539072\"]\n  28 [size=\"137803093\", alpha=\"0.02\", expect_size=\"41340928\"] \n  28 -> 29 [size =\"41340928\"]\n  29 [size=\"109380267\", alpha=\"0.20\", expect_size=\"32814080\"] \n  29 -> 30 [size =\"32814080\"]\n  30 [size=\"60757333\", alpha=\"0.17\", expect_size=\"18227200\"] \n  30 -> 31 [size =\"18227200\"]\n  31 [size=\"26798080\", alpha=\"0.07\", expect_size=\"8039424\"] \n  31 -> 32 [size =\"8039424\"]\n  32 [size=\"50971307\", alpha=\"0.01\", expect_size=\"15291392\"] \n  32 -> 33 [size =\"15291392\"]\n  33 [size=\"80517120\", alpha=\"0.14\", expect_size=\"24155136\"] \n  33 -> 34 [size =\"24155136\"]\n  34 [size=\"107434667\", alpha=\"0.11\", expect_size=\"32230400\"] \n  34 -> 35 [size =\"32230400\"]\n  35 [size=\"44800000\", alpha=\"0.14\", expect_size=\"13440000\"] \n  35 -> 36 [size =\"13440000\"]\n  36 [size=\"63665493\", alpha=\"0.16\", expect_size=\"19099648\"] \n  36 -> 37 [size =\"19099648\"]\n  37 [size=\"91927893\", alpha=\"0.12\", expect_size=\"27578368\"] \n  37 -> 38 [size =\"27578368\"]\n  38 [size=\"149568853\", alpha=\"0.19\", expect_size=\"44870656\"] \n  38 -> 39 [size =\"44870656\"]\n  39 [size=\"166072320\", alpha=\"0.15\", expect_size=\"49821696\"] \n  39 -> 40 [size =\"49821696\"]\n  40 [size=\"164106240\", alpha=\"0.12\", expect_size=\"49231872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99159040\", alpha=\"0.07\", expect_size=\"39663616\"] \n  1 -> 2 [size =\"39663616\"]\n  2 [size=\"63127040\", alpha=\"0.19\", expect_size=\"25250816\"] \n  2 -> 3 [size =\"25250816\"]\n  3 [size=\"87736320\", alpha=\"0.02\", expect_size=\"35094528\"] \n  3 -> 4 [size =\"35094528\"]\n  4 [size=\"15851520\", alpha=\"0.08\", expect_size=\"6340608\"] \n  4 -> 5 [size =\"6340608\"]\n  5 [size=\"105070080\", alpha=\"0.09\", expect_size=\"42028032\"] \n  5 -> 6 [size =\"42028032\"]\n  6 [size=\"95964160\", alpha=\"0.07\", expect_size=\"38385664\"] \n  6 -> 7 [size =\"38385664\"]\n  7 [size=\"35627520\", alpha=\"0.02\", expect_size=\"14251008\"] \n  7 -> 8 [size =\"14251008\"]\n  8 [size=\"55882240\", alpha=\"0.03\", expect_size=\"22352896\"] \n  8 -> 9 [size =\"22352896\"]\n  9 [size=\"49792000\", alpha=\"0.14\", expect_size=\"19916800\"] \n  9 -> 10 [size =\"19916800\"]\n  10 [size=\"126855680\", alpha=\"0.17\", expect_size=\"50742272\"] \n  10 -> 11 [size =\"50742272\"]\n  11 [size=\"13521920\", alpha=\"0.11\", expect_size=\"5408768\"] \n  11 -> 12 [size =\"5408768\"]\n  12 [size=\"53081600\", alpha=\"0.09\", expect_size=\"21232640\"] \n  12 -> 13 [size =\"21232640\"]\n  13 [size=\"48683520\", alpha=\"0.16\", expect_size=\"19473408\"] \n  13 -> 14 [size =\"19473408\"]\n  14 [size=\"62837760\", alpha=\"0.08\", expect_size=\"25135104\"] \n  14 -> 15 [size =\"25135104\"]\n  15 [size=\"108544000\", alpha=\"0.13\", expect_size=\"43417600\"] \n  15 -> 16 [size =\"43417600\"]\n  16 [size=\"44953600\", alpha=\"0.15\", expect_size=\"17981440\"] \n  16 -> 17 [size =\"17981440\"]\n  17 [size=\"83801600\", alpha=\"0.16\", expect_size=\"33520640\"] \n  17 -> 18 [size =\"33520640\"]\n  18 [size=\"98511360\", alpha=\"0.02\", expect_size=\"39404544\"] \n  18 -> 19 [size =\"39404544\"]\n  19 [size=\"115778560\", alpha=\"0.15\", expect_size=\"46311424\"] \n  19 -> 20 [size =\"46311424\"]\n  20 [size=\"80120320\", alpha=\"0.09\", expect_size=\"32048128\"] \n  20 -> 21 [size =\"32048128\"]\n  21 [size=\"61217280\", alpha=\"0.18\", expect_size=\"24486912\"] \n  21 -> 22 [size =\"24486912\"]\n  22 [size=\"127034880\", alpha=\"0.15\", expect_size=\"50813952\"] \n  22 -> 23 [size =\"50813952\"]\n  23 [size=\"64924160\", alpha=\"0.04\", expect_size=\"25969664\"] \n  23 -> 24 [size =\"25969664\"]\n  24 [size=\"39498240\", alpha=\"0.15\", expect_size=\"15799296\"] \n  24 -> 25 [size =\"15799296\"]\n  25 [size=\"88885760\", alpha=\"0.00\", expect_size=\"35554304\"] \n  25 -> 26 [size =\"35554304\"]\n  26 [size=\"45166080\", alpha=\"0.00\", expect_size=\"18066432\"] \n  26 -> 27 [size =\"18066432\"]\n  27 [size=\"14389760\", alpha=\"0.04\", expect_size=\"5755904\"] \n  27 -> 28 [size =\"5755904\"]\n  28 [size=\"110896640\", alpha=\"0.14\", expect_size=\"44358656\"] \n  28 -> 29 [size =\"44358656\"]\n  29 [size=\"119987200\", alpha=\"0.11\", expect_size=\"47994880\"] \n  29 -> 30 [size =\"47994880\"]\n  30 [size=\"92956160\", alpha=\"0.08\", expect_size=\"37182464\"] \n  30 -> 31 [size =\"37182464\"]\n  31 [size=\"30085120\", alpha=\"0.04\", expect_size=\"12034048\"] \n  31 -> 32 [size =\"12034048\"]\n  32 [size=\"17423360\", alpha=\"0.07\", expect_size=\"6969344\"] \n  32 -> 33 [size =\"6969344\"]\n  33 [size=\"104993280\", alpha=\"0.17\", expect_size=\"41997312\"] \n  33 -> 34 [size =\"41997312\"]\n  34 [size=\"13529600\", alpha=\"0.14\", expect_size=\"5411840\"] \n  34 -> 35 [size =\"5411840\"]\n  35 [size=\"99668480\", alpha=\"0.08\", expect_size=\"39867392\"] \n  35 -> 36 [size =\"39867392\"]\n  36 [size=\"101483520\", alpha=\"0.07\", expect_size=\"40593408\"] \n  36 -> 37 [size =\"40593408\"]\n  37 [size=\"101834240\", alpha=\"0.18\", expect_size=\"40733696\"] \n  37 -> 38 [size =\"40733696\"]\n  38 [size=\"123238400\", alpha=\"0.04\", expect_size=\"49295360\"] \n  38 -> 39 [size =\"49295360\"]\n  39 [size=\"90508800\", alpha=\"0.07\", expect_size=\"36203520\"] \n  39 -> 40 [size =\"36203520\"]\n  40 [size=\"40332800\", alpha=\"0.02\", expect_size=\"16133120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43629227\", alpha=\"0.11\", expect_size=\"13088768\"] \n  1 -> 2 [size =\"13088768\"]\n  2 [size=\"121924267\", alpha=\"0.03\", expect_size=\"36577280\"] \n  2 -> 3 [size =\"36577280\"]\n  3 [size=\"63488000\", alpha=\"0.07\", expect_size=\"19046400\"] \n  3 -> 4 [size =\"19046400\"]\n  4 [size=\"107165013\", alpha=\"0.15\", expect_size=\"32149504\"] \n  4 -> 5 [size =\"32149504\"]\n  5 [size=\"85985280\", alpha=\"0.01\", expect_size=\"25795584\"] \n  5 -> 6 [size =\"25795584\"]\n  6 [size=\"67491840\", alpha=\"0.17\", expect_size=\"20247552\"] \n  6 -> 7 [size =\"20247552\"]\n  7 [size=\"127211520\", alpha=\"0.15\", expect_size=\"38163456\"] \n  7 -> 8 [size =\"38163456\"]\n  8 [size=\"33392640\", alpha=\"0.15\", expect_size=\"10017792\"] \n  8 -> 9 [size =\"10017792\"]\n  9 [size=\"78199467\", alpha=\"0.12\", expect_size=\"23459840\"] \n  9 -> 10 [size =\"23459840\"]\n  10 [size=\"67276800\", alpha=\"0.13\", expect_size=\"20183040\"] \n  10 -> 11 [size =\"20183040\"]\n  11 [size=\"55715840\", alpha=\"0.06\", expect_size=\"16714752\"] \n  11 -> 12 [size =\"16714752\"]\n  12 [size=\"141445120\", alpha=\"0.05\", expect_size=\"42433536\"] \n  12 -> 13 [size =\"42433536\"]\n  13 [size=\"165669547\", alpha=\"0.19\", expect_size=\"49700864\"] \n  13 -> 14 [size =\"49700864\"]\n  14 [size=\"61525333\", alpha=\"0.06\", expect_size=\"18457600\"] \n  14 -> 15 [size =\"18457600\"]\n  15 [size=\"21838507\", alpha=\"0.13\", expect_size=\"6551552\"] \n  15 -> 16 [size =\"6551552\"]\n  16 [size=\"31375360\", alpha=\"0.06\", expect_size=\"9412608\"] \n  16 -> 17 [size =\"9412608\"]\n  17 [size=\"164324693\", alpha=\"0.03\", expect_size=\"49297408\"] \n  17 -> 18 [size =\"49297408\"]\n  18 [size=\"127307093\", alpha=\"0.02\", expect_size=\"38192128\"] \n  18 -> 19 [size =\"38192128\"]\n  19 [size=\"85766827\", alpha=\"0.10\", expect_size=\"25730048\"] \n  19 -> 20 [size =\"25730048\"]\n  20 [size=\"23548587\", alpha=\"0.04\", expect_size=\"7064576\"] \n  20 -> 21 [size =\"7064576\"]\n  21 [size=\"126300160\", alpha=\"0.01\", expect_size=\"37890048\"] \n  21 -> 22 [size =\"37890048\"]\n  22 [size=\"172980907\", alpha=\"0.11\", expect_size=\"51894272\"] \n  22 -> 23 [size =\"51894272\"]\n  23 [size=\"53596160\", alpha=\"0.07\", expect_size=\"16078848\"] \n  23 -> 24 [size =\"16078848\"]\n  24 [size=\"44755627\", alpha=\"0.14\", expect_size=\"13426688\"] \n  24 -> 25 [size =\"13426688\"]\n  25 [size=\"90944853\", alpha=\"0.10\", expect_size=\"27283456\"] \n  25 -> 26 [size =\"27283456\"]\n  26 [size=\"32150187\", alpha=\"0.13\", expect_size=\"9645056\"] \n  26 -> 27 [size =\"9645056\"]\n  27 [size=\"82039467\", alpha=\"0.09\", expect_size=\"24611840\"] \n  27 -> 28 [size =\"24611840\"]\n  28 [size=\"107806720\", alpha=\"0.08\", expect_size=\"32342016\"] \n  28 -> 29 [size =\"32342016\"]\n  29 [size=\"122596693\", alpha=\"0.14\", expect_size=\"36779008\"] \n  29 -> 30 [size =\"36779008\"]\n  30 [size=\"44479147\", alpha=\"0.07\", expect_size=\"13343744\"] \n  30 -> 31 [size =\"13343744\"]\n  31 [size=\"73093120\", alpha=\"0.04\", expect_size=\"21927936\"] \n  31 -> 32 [size =\"21927936\"]\n  32 [size=\"77301760\", alpha=\"0.17\", expect_size=\"23190528\"] \n  32 -> 33 [size =\"23190528\"]\n  33 [size=\"161559893\", alpha=\"0.09\", expect_size=\"48467968\"] \n  33 -> 34 [size =\"48467968\"]\n  34 [size=\"57306453\", alpha=\"0.07\", expect_size=\"17191936\"] \n  34 -> 35 [size =\"17191936\"]\n  35 [size=\"168802987\", alpha=\"0.05\", expect_size=\"50640896\"] \n  35 -> 36 [size =\"50640896\"]\n  36 [size=\"92706133\", alpha=\"0.05\", expect_size=\"27811840\"] \n  36 -> 37 [size =\"27811840\"]\n  37 [size=\"36314453\", alpha=\"0.03\", expect_size=\"10894336\"] \n  37 -> 38 [size =\"10894336\"]\n  38 [size=\"109366613\", alpha=\"0.16\", expect_size=\"32809984\"] \n  38 -> 39 [size =\"32809984\"]\n  39 [size=\"170499413\", alpha=\"0.17\", expect_size=\"51149824\"] \n  39 -> 40 [size =\"51149824\"]\n  40 [size=\"123146240\", alpha=\"0.19\", expect_size=\"36943872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44362240\", alpha=\"0.01\", expect_size=\"17744896\"] \n  1 -> 7 [size =\"17744896\"]\n  1 -> 9 [size =\"17744896\"]\n  1 -> 10 [size =\"17744896\"]\n  2 [size=\"84715520\", alpha=\"0.06\", expect_size=\"33886208\"] \n  2 -> 7 [size =\"33886208\"]\n  2 -> 9 [size =\"33886208\"]\n  2 -> 10 [size =\"33886208\"]\n  2 -> 11 [size =\"33886208\"]\n  3 [size=\"118827520\", alpha=\"0.01\", expect_size=\"47531008\"] \n  3 -> 7 [size =\"47531008\"]\n  3 -> 9 [size =\"47531008\"]\n  3 -> 10 [size =\"47531008\"]\n  4 [size=\"85312000\", alpha=\"0.03\", expect_size=\"34124800\"] \n  4 -> 7 [size =\"34124800\"]\n  4 -> 11 [size =\"34124800\"]\n  5 [size=\"67233280\", alpha=\"0.09\", expect_size=\"26893312\"] \n  5 -> 10 [size =\"26893312\"]\n  5 -> 11 [size =\"26893312\"]\n  6 [size=\"116175360\", alpha=\"0.06\", expect_size=\"46470144\"] \n  6 -> 8 [size =\"46470144\"]\n  6 -> 10 [size =\"46470144\"]\n  6 -> 11 [size =\"46470144\"]\n  7 [size=\"48412160\", alpha=\"0.15\", expect_size=\"19364864\"] \n  7 -> 12 [size =\"19364864\"]\n  7 -> 13 [size =\"19364864\"]\n  7 -> 14 [size =\"19364864\"]\n  7 -> 15 [size =\"19364864\"]\n  7 -> 16 [size =\"19364864\"]\n  8 [size=\"109703680\", alpha=\"0.02\", expect_size=\"43881472\"] \n  8 -> 12 [size =\"43881472\"]\n  8 -> 13 [size =\"43881472\"]\n  8 -> 16 [size =\"43881472\"]\n  8 -> 17 [size =\"43881472\"]\n  8 -> 18 [size =\"43881472\"]\n  9 [size=\"67202560\", alpha=\"0.02\", expect_size=\"26881024\"] \n  9 -> 12 [size =\"26881024\"]\n  9 -> 13 [size =\"26881024\"]\n  9 -> 16 [size =\"26881024\"]\n  9 -> 17 [size =\"26881024\"]\n  10 [size=\"70714880\", alpha=\"0.13\", expect_size=\"28285952\"] \n  10 -> 12 [size =\"28285952\"]\n  10 -> 13 [size =\"28285952\"]\n  10 -> 14 [size =\"28285952\"]\n  10 -> 16 [size =\"28285952\"]\n  10 -> 17 [size =\"28285952\"]\n  11 [size=\"130265600\", alpha=\"0.15\", expect_size=\"52106240\"] \n  11 -> 12 [size =\"52106240\"]\n  11 -> 14 [size =\"52106240\"]\n  11 -> 16 [size =\"52106240\"]\n  11 -> 17 [size =\"52106240\"]\n  11 -> 18 [size =\"52106240\"]\n  12 [size=\"19092480\", alpha=\"0.14\", expect_size=\"7636992\"] \n  12 -> 21 [size =\"7636992\"]\n  13 [size=\"53273600\", alpha=\"0.16\", expect_size=\"21309440\"] \n  13 -> 21 [size =\"21309440\"]\n  13 -> 22 [size =\"21309440\"]\n  14 [size=\"57402880\", alpha=\"0.20\", expect_size=\"22961152\"] \n  14 -> 19 [size =\"22961152\"]\n  14 -> 21 [size =\"22961152\"]\n  14 -> 22 [size =\"22961152\"]\n  15 [size=\"74972160\", alpha=\"0.11\", expect_size=\"29988864\"] \n  15 -> 21 [size =\"29988864\"]\n  15 -> 22 [size =\"29988864\"]\n  16 [size=\"128739840\", alpha=\"0.01\", expect_size=\"51495936\"] \n  16 -> 20 [size =\"51495936\"]\n  16 -> 21 [size =\"51495936\"]\n  16 -> 22 [size =\"51495936\"]\n  17 [size=\"48547840\", alpha=\"0.15\", expect_size=\"19419136\"] \n  17 -> 20 [size =\"19419136\"]\n  17 -> 22 [size =\"19419136\"]\n  18 [size=\"18506240\", alpha=\"0.16\", expect_size=\"7402496\"] \n  18 -> 21 [size =\"7402496\"]\n  19 [size=\"30958080\", alpha=\"0.04\", expect_size=\"12383232\"] \n  19 -> 23 [size =\"12383232\"]\n  19 -> 24 [size =\"12383232\"]\n  19 -> 25 [size =\"12383232\"]\n  19 -> 26 [size =\"12383232\"]\n  19 -> 27 [size =\"12383232\"]\n  19 -> 28 [size =\"12383232\"]\n  20 [size=\"41192960\", alpha=\"0.07\", expect_size=\"16477184\"] \n  20 -> 24 [size =\"16477184\"]\n  20 -> 24 [size =\"16477184\"]\n  20 -> 25 [size =\"16477184\"]\n  20 -> 26 [size =\"16477184\"]\n  20 -> 28 [size =\"16477184\"]\n  21 [size=\"119966720\", alpha=\"0.15\", expect_size=\"47986688\"] \n  21 -> 23 [size =\"47986688\"]\n  21 -> 25 [size =\"47986688\"]\n  21 -> 26 [size =\"47986688\"]\n  21 -> 28 [size =\"47986688\"]\n  21 -> 28 [size =\"47986688\"]\n  22 [size=\"92526080\", alpha=\"0.16\", expect_size=\"37010432\"] \n  22 -> 24 [size =\"37010432\"]\n  22 -> 25 [size =\"37010432\"]\n  22 -> 26 [size =\"37010432\"]\n  22 -> 27 [size =\"37010432\"]\n  23 [size=\"57282560\", alpha=\"0.15\", expect_size=\"22913024\"] \n  23 -> 29 [size =\"22913024\"]\n  23 -> 33 [size =\"22913024\"]\n  23 -> 34 [size =\"22913024\"]\n  24 [size=\"31749120\", alpha=\"0.05\", expect_size=\"12699648\"] \n  24 -> 33 [size =\"12699648\"]\n  24 -> 33 [size =\"12699648\"]\n  24 -> 34 [size =\"12699648\"]\n  25 [size=\"29931520\", alpha=\"0.05\", expect_size=\"11972608\"] \n  25 -> 33 [size =\"11972608\"]\n  25 -> 34 [size =\"11972608\"]\n  26 [size=\"91965440\", alpha=\"0.03\", expect_size=\"36786176\"] \n  26 -> 29 [size =\"36786176\"]\n  26 -> 31 [size =\"36786176\"]\n  26 -> 34 [size =\"36786176\"]\n  27 [size=\"99714560\", alpha=\"0.06\", expect_size=\"39885824\"] \n  27 -> 29 [size =\"39885824\"]\n  27 -> 30 [size =\"39885824\"]\n  27 -> 31 [size =\"39885824\"]\n  27 -> 32 [size =\"39885824\"]\n  27 -> 33 [size =\"39885824\"]\n  28 [size=\"70443520\", alpha=\"0.06\", expect_size=\"28177408\"] \n  28 -> 29 [size =\"28177408\"]\n  28 -> 31 [size =\"28177408\"]\n  28 -> 32 [size =\"28177408\"]\n  28 -> 33 [size =\"28177408\"]\n  29 [size=\"44239360\", alpha=\"0.15\", expect_size=\"17695744\"] \n  29 -> 37 [size =\"17695744\"]\n  29 -> 39 [size =\"17695744\"]\n  30 [size=\"65262080\", alpha=\"0.14\", expect_size=\"26104832\"] \n  30 -> 36 [size =\"26104832\"]\n  30 -> 37 [size =\"26104832\"]\n  30 -> 40 [size =\"26104832\"]\n  31 [size=\"105297920\", alpha=\"0.13\", expect_size=\"42119168\"] \n  31 -> 37 [size =\"42119168\"]\n  31 -> 37 [size =\"42119168\"]\n  31 -> 39 [size =\"42119168\"]\n  32 [size=\"77642240\", alpha=\"0.12\", expect_size=\"31056896\"] \n  32 -> 35 [size =\"31056896\"]\n  32 -> 37 [size =\"31056896\"]\n  32 -> 40 [size =\"31056896\"]\n  33 [size=\"53903360\", alpha=\"0.19\", expect_size=\"21561344\"] \n  33 -> 40 [size =\"21561344\"]\n  34 [size=\"21839360\", alpha=\"0.13\", expect_size=\"8735744\"] \n  34 -> 37 [size =\"8735744\"]\n  34 -> 38 [size =\"8735744\"]\n  34 -> 40 [size =\"8735744\"]\n  35 [size=\"53657600\", alpha=\"0.17\", expect_size=\"21463040\"] \n  36 [size=\"85519360\", alpha=\"0.01\", expect_size=\"34207744\"] \n  37 [size=\"102528000\", alpha=\"0.11\", expect_size=\"41011200\"] \n  38 [size=\"22026240\", alpha=\"0.02\", expect_size=\"8810496\"] \n  39 [size=\"58575360\", alpha=\"0.16\", expect_size=\"23430144\"] \n  40 [size=\"30343680\", alpha=\"0.15\", expect_size=\"12137472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23109632\", alpha=\"0.15\", expect_size=\"11554816\"] \n  1 -> 18 [size =\"11554816\"]\n  1 -> 19 [size =\"11554816\"]\n  1 -> 22 [size =\"11554816\"]\n  1 -> 22 [size =\"11554816\"]\n  1 -> 23 [size =\"11554816\"]\n  1 -> 24 [size =\"11554816\"]\n  2 [size=\"44556288\", alpha=\"0.05\", expect_size=\"22278144\"] \n  2 -> 14 [size =\"22278144\"]\n  2 -> 15 [size =\"22278144\"]\n  2 -> 16 [size =\"22278144\"]\n  2 -> 18 [size =\"22278144\"]\n  2 -> 19 [size =\"22278144\"]\n  2 -> 20 [size =\"22278144\"]\n  2 -> 22 [size =\"22278144\"]\n  2 -> 23 [size =\"22278144\"]\n  2 -> 26 [size =\"22278144\"]\n  3 [size=\"23078912\", alpha=\"0.12\", expect_size=\"11539456\"] \n  3 -> 14 [size =\"11539456\"]\n  3 -> 15 [size =\"11539456\"]\n  3 -> 18 [size =\"11539456\"]\n  3 -> 18 [size =\"11539456\"]\n  3 -> 19 [size =\"11539456\"]\n  3 -> 20 [size =\"11539456\"]\n  3 -> 22 [size =\"11539456\"]\n  3 -> 24 [size =\"11539456\"]\n  4 [size=\"11335680\", alpha=\"0.19\", expect_size=\"5667840\"] \n  4 -> 14 [size =\"5667840\"]\n  4 -> 15 [size =\"5667840\"]\n  4 -> 19 [size =\"5667840\"]\n  4 -> 21 [size =\"5667840\"]\n  4 -> 22 [size =\"5667840\"]\n  5 [size=\"56424448\", alpha=\"0.11\", expect_size=\"28212224\"] \n  5 -> 15 [size =\"28212224\"]\n  5 -> 15 [size =\"28212224\"]\n  5 -> 16 [size =\"28212224\"]\n  5 -> 19 [size =\"28212224\"]\n  5 -> 22 [size =\"28212224\"]\n  5 -> 23 [size =\"28212224\"]\n  5 -> 24 [size =\"28212224\"]\n  5 -> 26 [size =\"28212224\"]\n  6 [size=\"38494208\", alpha=\"0.02\", expect_size=\"19247104\"] \n  6 -> 15 [size =\"19247104\"]\n  6 -> 16 [size =\"19247104\"]\n  6 -> 18 [size =\"19247104\"]\n  6 -> 19 [size =\"19247104\"]\n  6 -> 21 [size =\"19247104\"]\n  6 -> 23 [size =\"19247104\"]\n  6 -> 24 [size =\"19247104\"]\n  7 [size=\"85704704\", alpha=\"0.16\", expect_size=\"42852352\"] \n  7 -> 14 [size =\"42852352\"]\n  7 -> 15 [size =\"42852352\"]\n  7 -> 19 [size =\"42852352\"]\n  7 -> 21 [size =\"42852352\"]\n  7 -> 21 [size =\"42852352\"]\n  8 [size=\"36890624\", alpha=\"0.13\", expect_size=\"18445312\"] \n  8 -> 14 [size =\"18445312\"]\n  8 -> 15 [size =\"18445312\"]\n  8 -> 18 [size =\"18445312\"]\n  8 -> 21 [size =\"18445312\"]\n  8 -> 22 [size =\"18445312\"]\n  8 -> 24 [size =\"18445312\"]\n  9 [size=\"13404160\", alpha=\"0.07\", expect_size=\"6702080\"] \n  9 -> 14 [size =\"6702080\"]\n  9 -> 15 [size =\"6702080\"]\n  9 -> 18 [size =\"6702080\"]\n  9 -> 19 [size =\"6702080\"]\n  9 -> 22 [size =\"6702080\"]\n  9 -> 23 [size =\"6702080\"]\n  9 -> 24 [size =\"6702080\"]\n  10 [size=\"94814208\", alpha=\"0.09\", expect_size=\"47407104\"] \n  10 -> 15 [size =\"47407104\"]\n  10 -> 17 [size =\"47407104\"]\n  10 -> 23 [size =\"47407104\"]\n  10 -> 25 [size =\"47407104\"]\n  11 [size=\"17186816\", alpha=\"0.20\", expect_size=\"8593408\"] \n  11 -> 17 [size =\"8593408\"]\n  11 -> 17 [size =\"8593408\"]\n  11 -> 19 [size =\"8593408\"]\n  11 -> 23 [size =\"8593408\"]\n  11 -> 24 [size =\"8593408\"]\n  12 [size=\"86628352\", alpha=\"0.14\", expect_size=\"43314176\"] \n  12 -> 17 [size =\"43314176\"]\n  12 -> 19 [size =\"43314176\"]\n  12 -> 22 [size =\"43314176\"]\n  12 -> 24 [size =\"43314176\"]\n  12 -> 24 [size =\"43314176\"]\n  13 [size=\"14686208\", alpha=\"0.10\", expect_size=\"7343104\"] \n  13 -> 16 [size =\"7343104\"]\n  13 -> 17 [size =\"7343104\"]\n  13 -> 19 [size =\"7343104\"]\n  13 -> 22 [size =\"7343104\"]\n  13 -> 23 [size =\"7343104\"]\n  13 -> 25 [size =\"7343104\"]\n  14 [size=\"71804928\", alpha=\"0.01\", expect_size=\"35902464\"] \n  14 -> 27 [size =\"35902464\"]\n  14 -> 28 [size =\"35902464\"]\n  14 -> 30 [size =\"35902464\"]\n  14 -> 31 [size =\"35902464\"]\n  14 -> 32 [size =\"35902464\"]\n  14 -> 33 [size =\"35902464\"]\n  14 -> 36 [size =\"35902464\"]\n  15 [size=\"68931584\", alpha=\"0.06\", expect_size=\"34465792\"] \n  15 -> 27 [size =\"34465792\"]\n  15 -> 28 [size =\"34465792\"]\n  15 -> 31 [size =\"34465792\"]\n  15 -> 31 [size =\"34465792\"]\n  15 -> 33 [size =\"34465792\"]\n  15 -> 34 [size =\"34465792\"]\n  15 -> 36 [size =\"34465792\"]\n  16 [size=\"26806272\", alpha=\"0.20\", expect_size=\"13403136\"] \n  16 -> 27 [size =\"13403136\"]\n  16 -> 28 [size =\"13403136\"]\n  16 -> 31 [size =\"13403136\"]\n  16 -> 33 [size =\"13403136\"]\n  16 -> 34 [size =\"13403136\"]\n  16 -> 36 [size =\"13403136\"]\n  17 [size=\"34906112\", alpha=\"0.16\", expect_size=\"17453056\"] \n  17 -> 27 [size =\"17453056\"]\n  17 -> 28 [size =\"17453056\"]\n  17 -> 29 [size =\"17453056\"]\n  17 -> 32 [size =\"17453056\"]\n  17 -> 34 [size =\"17453056\"]\n  17 -> 36 [size =\"17453056\"]\n  17 -> 37 [size =\"17453056\"]\n  18 [size=\"16490496\", alpha=\"0.18\", expect_size=\"8245248\"] \n  18 -> 27 [size =\"8245248\"]\n  18 -> 28 [size =\"8245248\"]\n  18 -> 32 [size =\"8245248\"]\n  18 -> 33 [size =\"8245248\"]\n  18 -> 35 [size =\"8245248\"]\n  19 [size=\"79360000\", alpha=\"0.02\", expect_size=\"39680000\"] \n  19 -> 30 [size =\"39680000\"]\n  19 -> 31 [size =\"39680000\"]\n  19 -> 32 [size =\"39680000\"]\n  19 -> 33 [size =\"39680000\"]\n  19 -> 34 [size =\"39680000\"]\n  19 -> 35 [size =\"39680000\"]\n  19 -> 36 [size =\"39680000\"]\n  20 [size=\"20146176\", alpha=\"0.19\", expect_size=\"10073088\"] \n  20 -> 27 [size =\"10073088\"]\n  20 -> 28 [size =\"10073088\"]\n  20 -> 30 [size =\"10073088\"]\n  20 -> 31 [size =\"10073088\"]\n  20 -> 32 [size =\"10073088\"]\n  20 -> 33 [size =\"10073088\"]\n  20 -> 34 [size =\"10073088\"]\n  20 -> 37 [size =\"10073088\"]\n  21 [size=\"64008192\", alpha=\"0.20\", expect_size=\"32004096\"] \n  21 -> 27 [size =\"32004096\"]\n  21 -> 28 [size =\"32004096\"]\n  21 -> 30 [size =\"32004096\"]\n  21 -> 32 [size =\"32004096\"]\n  21 -> 33 [size =\"32004096\"]\n  21 -> 34 [size =\"32004096\"]\n  21 -> 35 [size =\"32004096\"]\n  21 -> 36 [size =\"32004096\"]\n  21 -> 37 [size =\"32004096\"]\n  22 [size=\"63447040\", alpha=\"0.07\", expect_size=\"31723520\"] \n  22 -> 27 [size =\"31723520\"]\n  22 -> 30 [size =\"31723520\"]\n  22 -> 30 [size =\"31723520\"]\n  22 -> 32 [size =\"31723520\"]\n  22 -> 33 [size =\"31723520\"]\n  22 -> 34 [size =\"31723520\"]\n  22 -> 37 [size =\"31723520\"]\n  23 [size=\"36288512\", alpha=\"0.17\", expect_size=\"18144256\"] \n  23 -> 27 [size =\"18144256\"]\n  23 -> 28 [size =\"18144256\"]\n  23 -> 29 [size =\"18144256\"]\n  23 -> 30 [size =\"18144256\"]\n  23 -> 32 [size =\"18144256\"]\n  23 -> 33 [size =\"18144256\"]\n  23 -> 34 [size =\"18144256\"]\n  23 -> 35 [size =\"18144256\"]\n  23 -> 36 [size =\"18144256\"]\n  24 [size=\"81459200\", alpha=\"0.08\", expect_size=\"40729600\"] \n  24 -> 28 [size =\"40729600\"]\n  24 -> 28 [size =\"40729600\"]\n  24 -> 30 [size =\"40729600\"]\n  24 -> 30 [size =\"40729600\"]\n  24 -> 31 [size =\"40729600\"]\n  24 -> 33 [size =\"40729600\"]\n  24 -> 34 [size =\"40729600\"]\n  24 -> 36 [size =\"40729600\"]\n  24 -> 36 [size =\"40729600\"]\n  25 [size=\"86583296\", alpha=\"0.08\", expect_size=\"43291648\"] \n  25 -> 30 [size =\"43291648\"]\n  25 -> 31 [size =\"43291648\"]\n  25 -> 33 [size =\"43291648\"]\n  25 -> 35 [size =\"43291648\"]\n  25 -> 36 [size =\"43291648\"]\n  26 [size=\"20099072\", alpha=\"0.14\", expect_size=\"10049536\"] \n  26 -> 29 [size =\"10049536\"]\n  26 -> 30 [size =\"10049536\"]\n  26 -> 31 [size =\"10049536\"]\n  26 -> 32 [size =\"10049536\"]\n  26 -> 33 [size =\"10049536\"]\n  26 -> 36 [size =\"10049536\"]\n  26 -> 37 [size =\"10049536\"]\n  27 [size=\"19638272\", alpha=\"0.16\", expect_size=\"9819136\"] \n  27 -> 39 [size =\"9819136\"]\n  27 -> 40 [size =\"9819136\"]\n  28 [size=\"94468096\", alpha=\"0.03\", expect_size=\"47234048\"] \n  29 [size=\"86650880\", alpha=\"0.12\", expect_size=\"43325440\"] \n  29 -> 38 [size =\"43325440\"]\n  29 -> 39 [size =\"43325440\"]\n  30 [size=\"95387648\", alpha=\"0.18\", expect_size=\"47693824\"] \n  30 -> 38 [size =\"47693824\"]\n  30 -> 39 [size =\"47693824\"]\n  30 -> 40 [size =\"47693824\"]\n  31 [size=\"92790784\", alpha=\"0.05\", expect_size=\"46395392\"] \n  31 -> 39 [size =\"46395392\"]\n  31 -> 40 [size =\"46395392\"]\n  32 [size=\"91484160\", alpha=\"0.09\", expect_size=\"45742080\"] \n  33 [size=\"31168512\", alpha=\"0.13\", expect_size=\"15584256\"] \n  34 [size=\"18808832\", alpha=\"0.11\", expect_size=\"9404416\"] \n  34 -> 38 [size =\"9404416\"]\n  35 [size=\"55257088\", alpha=\"0.00\", expect_size=\"27628544\"] \n  35 -> 38 [size =\"27628544\"]\n  36 [size=\"92082176\", alpha=\"0.14\", expect_size=\"46041088\"] \n  36 -> 38 [size =\"46041088\"]\n  36 -> 39 [size =\"46041088\"]\n  37 [size=\"62918656\", alpha=\"0.12\", expect_size=\"31459328\"] \n  37 -> 40 [size =\"31459328\"]\n  38 [size=\"42989568\", alpha=\"0.12\", expect_size=\"21494784\"] \n  39 [size=\"58701824\", alpha=\"0.06\", expect_size=\"29350912\"] \n  40 [size=\"18601984\", alpha=\"0.03\", expect_size=\"9300992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66140160\", alpha=\"0.08\", expect_size=\"26456064\"] \n  1 -> 7 [size =\"26456064\"]\n  1 -> 8 [size =\"26456064\"]\n  1 -> 9 [size =\"26456064\"]\n  2 [size=\"89817600\", alpha=\"0.08\", expect_size=\"35927040\"] \n  2 -> 8 [size =\"35927040\"]\n  3 [size=\"85032960\", alpha=\"0.18\", expect_size=\"34013184\"] \n  3 -> 7 [size =\"34013184\"]\n  3 -> 9 [size =\"34013184\"]\n  4 [size=\"112934400\", alpha=\"0.19\", expect_size=\"45173760\"] \n  4 -> 9 [size =\"45173760\"]\n  5 [size=\"85719040\", alpha=\"0.04\", expect_size=\"34287616\"] \n  5 -> 7 [size =\"34287616\"]\n  5 -> 8 [size =\"34287616\"]\n  5 -> 9 [size =\"34287616\"]\n  6 [size=\"36259840\", alpha=\"0.15\", expect_size=\"14503936\"] \n  6 -> 7 [size =\"14503936\"]\n  6 -> 8 [size =\"14503936\"]\n  6 -> 9 [size =\"14503936\"]\n  7 [size=\"99238400\", alpha=\"0.01\", expect_size=\"39695360\"] \n  7 -> 11 [size =\"39695360\"]\n  7 -> 15 [size =\"39695360\"]\n  7 -> 16 [size =\"39695360\"]\n  8 [size=\"96322560\", alpha=\"0.12\", expect_size=\"38529024\"] \n  8 -> 10 [size =\"38529024\"]\n  8 -> 14 [size =\"38529024\"]\n  9 [size=\"46371840\", alpha=\"0.06\", expect_size=\"18548736\"] \n  9 -> 11 [size =\"18548736\"]\n  9 -> 12 [size =\"18548736\"]\n  9 -> 13 [size =\"18548736\"]\n  9 -> 16 [size =\"18548736\"]\n  10 [size=\"24455680\", alpha=\"0.05\", expect_size=\"9782272\"] \n  10 -> 19 [size =\"9782272\"]\n  11 [size=\"19002880\", alpha=\"0.02\", expect_size=\"7601152\"] \n  11 -> 17 [size =\"7601152\"]\n  11 -> 18 [size =\"7601152\"]\n  11 -> 20 [size =\"7601152\"]\n  12 [size=\"66442240\", alpha=\"0.03\", expect_size=\"26576896\"] \n  12 -> 18 [size =\"26576896\"]\n  12 -> 19 [size =\"26576896\"]\n  12 -> 21 [size =\"26576896\"]\n  12 -> 22 [size =\"26576896\"]\n  12 -> 23 [size =\"26576896\"]\n  13 [size=\"113881600\", alpha=\"0.15\", expect_size=\"45552640\"] \n  13 -> 18 [size =\"45552640\"]\n  13 -> 21 [size =\"45552640\"]\n  13 -> 22 [size =\"45552640\"]\n  14 [size=\"99983360\", alpha=\"0.10\", expect_size=\"39993344\"] \n  14 -> 18 [size =\"39993344\"]\n  14 -> 21 [size =\"39993344\"]\n  15 [size=\"92011520\", alpha=\"0.17\", expect_size=\"36804608\"] \n  15 -> 18 [size =\"36804608\"]\n  15 -> 20 [size =\"36804608\"]\n  15 -> 21 [size =\"36804608\"]\n  15 -> 22 [size =\"36804608\"]\n  15 -> 23 [size =\"36804608\"]\n  16 [size=\"113907200\", alpha=\"0.08\", expect_size=\"45562880\"] \n  16 -> 20 [size =\"45562880\"]\n  16 -> 20 [size =\"45562880\"]\n  16 -> 21 [size =\"45562880\"]\n  16 -> 22 [size =\"45562880\"]\n  17 [size=\"84907520\", alpha=\"0.08\", expect_size=\"33963008\"] \n  17 -> 25 [size =\"33963008\"]\n  18 [size=\"90332160\", alpha=\"0.14\", expect_size=\"36132864\"] \n  18 -> 24 [size =\"36132864\"]\n  18 -> 25 [size =\"36132864\"]\n  19 [size=\"42199040\", alpha=\"0.01\", expect_size=\"16879616\"] \n  19 -> 24 [size =\"16879616\"]\n  19 -> 26 [size =\"16879616\"]\n  20 [size=\"76162560\", alpha=\"0.08\", expect_size=\"30465024\"] \n  20 -> 24 [size =\"30465024\"]\n  21 [size=\"106496000\", alpha=\"0.03\", expect_size=\"42598400\"] \n  21 -> 26 [size =\"42598400\"]\n  22 [size=\"116467200\", alpha=\"0.12\", expect_size=\"46586880\"] \n  22 -> 26 [size =\"46586880\"]\n  23 [size=\"18892800\", alpha=\"0.13\", expect_size=\"7557120\"] \n  24 [size=\"104972800\", alpha=\"0.10\", expect_size=\"41989120\"] \n  24 -> 27 [size =\"41989120\"]\n  24 -> 29 [size =\"41989120\"]\n  24 -> 30 [size =\"41989120\"]\n  24 -> 31 [size =\"41989120\"]\n  24 -> 32 [size =\"41989120\"]\n  24 -> 33 [size =\"41989120\"]\n  25 [size=\"45678080\", alpha=\"0.00\", expect_size=\"18271232\"] \n  25 -> 28 [size =\"18271232\"]\n  25 -> 33 [size =\"18271232\"]\n  26 [size=\"26728960\", alpha=\"0.14\", expect_size=\"10691584\"] \n  26 -> 27 [size =\"10691584\"]\n  26 -> 28 [size =\"10691584\"]\n  26 -> 29 [size =\"10691584\"]\n  26 -> 31 [size =\"10691584\"]\n  26 -> 32 [size =\"10691584\"]\n  26 -> 34 [size =\"10691584\"]\n  27 [size=\"71188480\", alpha=\"0.03\", expect_size=\"28475392\"] \n  27 -> 37 [size =\"28475392\"]\n  27 -> 40 [size =\"28475392\"]\n  28 [size=\"120463360\", alpha=\"0.05\", expect_size=\"48185344\"] \n  28 -> 35 [size =\"48185344\"]\n  28 -> 36 [size =\"48185344\"]\n  28 -> 39 [size =\"48185344\"]\n  28 -> 40 [size =\"48185344\"]\n  29 [size=\"87119360\", alpha=\"0.14\", expect_size=\"34847744\"] \n  29 -> 36 [size =\"34847744\"]\n  29 -> 38 [size =\"34847744\"]\n  29 -> 40 [size =\"34847744\"]\n  30 [size=\"92643840\", alpha=\"0.04\", expect_size=\"37057536\"] \n  30 -> 36 [size =\"37057536\"]\n  30 -> 37 [size =\"37057536\"]\n  30 -> 40 [size =\"37057536\"]\n  31 [size=\"19156480\", alpha=\"0.15\", expect_size=\"7662592\"] \n  31 -> 35 [size =\"7662592\"]\n  31 -> 37 [size =\"7662592\"]\n  32 [size=\"37662720\", alpha=\"0.16\", expect_size=\"15065088\"] \n  32 -> 35 [size =\"15065088\"]\n  32 -> 37 [size =\"15065088\"]\n  32 -> 38 [size =\"15065088\"]\n  33 [size=\"106900480\", alpha=\"0.13\", expect_size=\"42760192\"] \n  33 -> 35 [size =\"42760192\"]\n  33 -> 36 [size =\"42760192\"]\n  33 -> 37 [size =\"42760192\"]\n  33 -> 40 [size =\"42760192\"]\n  34 [size=\"62873600\", alpha=\"0.05\", expect_size=\"25149440\"] \n  34 -> 35 [size =\"25149440\"]\n  34 -> 36 [size =\"25149440\"]\n  34 -> 37 [size =\"25149440\"]\n  34 -> 38 [size =\"25149440\"]\n  34 -> 39 [size =\"25149440\"]\n  34 -> 40 [size =\"25149440\"]\n  35 [size=\"123371520\", alpha=\"0.10\", expect_size=\"49348608\"] \n  36 [size=\"125079040\", alpha=\"0.13\", expect_size=\"50031616\"] \n  37 [size=\"91146240\", alpha=\"0.08\", expect_size=\"36458496\"] \n  38 [size=\"107709440\", alpha=\"0.16\", expect_size=\"43083776\"] \n  39 [size=\"22054400\", alpha=\"0.08\", expect_size=\"8821760\"] \n  40 [size=\"103377920\", alpha=\"0.12\", expect_size=\"41351168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164973227\", alpha=\"0.13\", expect_size=\"49491968\"] \n  1 -> 9 [size =\"49491968\"]\n  2 [size=\"82199893\", alpha=\"0.04\", expect_size=\"24659968\"] \n  2 -> 9 [size =\"24659968\"]\n  2 -> 10 [size =\"24659968\"]\n  3 [size=\"23681707\", alpha=\"0.04\", expect_size=\"7104512\"] \n  3 -> 6 [size =\"7104512\"]\n  3 -> 7 [size =\"7104512\"]\n  3 -> 8 [size =\"7104512\"]\n  3 -> 10 [size =\"7104512\"]\n  4 [size=\"63982933\", alpha=\"0.19\", expect_size=\"19194880\"] \n  4 -> 6 [size =\"19194880\"]\n  4 -> 7 [size =\"19194880\"]\n  4 -> 8 [size =\"19194880\"]\n  4 -> 9 [size =\"19194880\"]\n  4 -> 10 [size =\"19194880\"]\n  5 [size=\"93989547\", alpha=\"0.02\", expect_size=\"28196864\"] \n  5 -> 7 [size =\"28196864\"]\n  5 -> 9 [size =\"28196864\"]\n  6 [size=\"140141227\", alpha=\"0.04\", expect_size=\"42042368\"] \n  6 -> 11 [size =\"42042368\"]\n  6 -> 13 [size =\"42042368\"]\n  6 -> 15 [size =\"42042368\"]\n  7 [size=\"90002773\", alpha=\"0.18\", expect_size=\"27000832\"] \n  7 -> 13 [size =\"27000832\"]\n  7 -> 14 [size =\"27000832\"]\n  7 -> 15 [size =\"27000832\"]\n  8 [size=\"163587413\", alpha=\"0.04\", expect_size=\"49076224\"] \n  9 [size=\"62498133\", alpha=\"0.03\", expect_size=\"18749440\"] \n  9 -> 15 [size =\"18749440\"]\n  9 -> 16 [size =\"18749440\"]\n  10 [size=\"42134187\", alpha=\"0.07\", expect_size=\"12640256\"] \n  10 -> 12 [size =\"12640256\"]\n  10 -> 14 [size =\"12640256\"]\n  10 -> 15 [size =\"12640256\"]\n  11 [size=\"127368533\", alpha=\"0.08\", expect_size=\"38210560\"] \n  11 -> 17 [size =\"38210560\"]\n  11 -> 18 [size =\"38210560\"]\n  11 -> 21 [size =\"38210560\"]\n  11 -> 21 [size =\"38210560\"]\n  11 -> 22 [size =\"38210560\"]\n  12 [size=\"75813547\", alpha=\"0.12\", expect_size=\"22744064\"] \n  12 -> 17 [size =\"22744064\"]\n  12 -> 18 [size =\"22744064\"]\n  12 -> 20 [size =\"22744064\"]\n  12 -> 21 [size =\"22744064\"]\n  13 [size=\"109963947\", alpha=\"0.18\", expect_size=\"32989184\"] \n  13 -> 17 [size =\"32989184\"]\n  13 -> 20 [size =\"32989184\"]\n  13 -> 20 [size =\"32989184\"]\n  13 -> 21 [size =\"32989184\"]\n  13 -> 22 [size =\"32989184\"]\n  14 [size=\"143677440\", alpha=\"0.15\", expect_size=\"43103232\"] \n  14 -> 17 [size =\"43103232\"]\n  14 -> 18 [size =\"43103232\"]\n  14 -> 21 [size =\"43103232\"]\n  15 [size=\"135075840\", alpha=\"0.11\", expect_size=\"40522752\"] \n  15 -> 17 [size =\"40522752\"]\n  15 -> 19 [size =\"40522752\"]\n  15 -> 20 [size =\"40522752\"]\n  15 -> 22 [size =\"40522752\"]\n  16 [size=\"152282453\", alpha=\"0.15\", expect_size=\"45684736\"] \n  16 -> 19 [size =\"45684736\"]\n  16 -> 19 [size =\"45684736\"]\n  16 -> 20 [size =\"45684736\"]\n  16 -> 21 [size =\"45684736\"]\n  16 -> 22 [size =\"45684736\"]\n  17 [size=\"26122240\", alpha=\"0.14\", expect_size=\"7836672\"] \n  17 -> 23 [size =\"7836672\"]\n  17 -> 26 [size =\"7836672\"]\n  17 -> 27 [size =\"7836672\"]\n  17 -> 28 [size =\"7836672\"]\n  18 [size=\"167915520\", alpha=\"0.10\", expect_size=\"50374656\"] \n  18 -> 24 [size =\"50374656\"]\n  18 -> 28 [size =\"50374656\"]\n  19 [size=\"41581227\", alpha=\"0.03\", expect_size=\"12474368\"] \n  19 -> 24 [size =\"12474368\"]\n  19 -> 28 [size =\"12474368\"]\n  20 [size=\"65723733\", alpha=\"0.04\", expect_size=\"19717120\"] \n  20 -> 24 [size =\"19717120\"]\n  20 -> 25 [size =\"19717120\"]\n  20 -> 26 [size =\"19717120\"]\n  20 -> 28 [size =\"19717120\"]\n  21 [size=\"117899947\", alpha=\"0.03\", expect_size=\"35369984\"] \n  21 -> 23 [size =\"35369984\"]\n  21 -> 24 [size =\"35369984\"]\n  21 -> 28 [size =\"35369984\"]\n  22 [size=\"24456533\", alpha=\"0.11\", expect_size=\"7336960\"] \n  22 -> 23 [size =\"7336960\"]\n  22 -> 24 [size =\"7336960\"]\n  22 -> 28 [size =\"7336960\"]\n  23 [size=\"120951467\", alpha=\"0.20\", expect_size=\"36285440\"] \n  23 -> 32 [size =\"36285440\"]\n  24 [size=\"108038827\", alpha=\"0.14\", expect_size=\"32411648\"] \n  24 -> 33 [size =\"32411648\"]\n  25 [size=\"67130027\", alpha=\"0.18\", expect_size=\"20139008\"] \n  25 -> 31 [size =\"20139008\"]\n  25 -> 32 [size =\"20139008\"]\n  26 [size=\"151623680\", alpha=\"0.18\", expect_size=\"45487104\"] \n  26 -> 30 [size =\"45487104\"]\n  27 [size=\"112892587\", alpha=\"0.07\", expect_size=\"33867776\"] \n  27 -> 29 [size =\"33867776\"]\n  27 -> 30 [size =\"33867776\"]\n  28 [size=\"64737280\", alpha=\"0.15\", expect_size=\"19421184\"] \n  28 -> 32 [size =\"19421184\"]\n  29 [size=\"146640213\", alpha=\"0.08\", expect_size=\"43992064\"] \n  29 -> 34 [size =\"43992064\"]\n  29 -> 36 [size =\"43992064\"]\n  30 [size=\"169987413\", alpha=\"0.04\", expect_size=\"50996224\"] \n  30 -> 34 [size =\"50996224\"]\n  30 -> 37 [size =\"50996224\"]\n  30 -> 38 [size =\"50996224\"]\n  31 [size=\"42035200\", alpha=\"0.15\", expect_size=\"12610560\"] \n  31 -> 34 [size =\"12610560\"]\n  31 -> 36 [size =\"12610560\"]\n  32 [size=\"67570347\", alpha=\"0.13\", expect_size=\"20271104\"] \n  32 -> 34 [size =\"20271104\"]\n  32 -> 38 [size =\"20271104\"]\n  33 [size=\"154030080\", alpha=\"0.02\", expect_size=\"46209024\"] \n  33 -> 34 [size =\"46209024\"]\n  33 -> 35 [size =\"46209024\"]\n  33 -> 36 [size =\"46209024\"]\n  33 -> 38 [size =\"46209024\"]\n  34 [size=\"150336853\", alpha=\"0.08\", expect_size=\"45101056\"] \n  35 [size=\"102997333\", alpha=\"0.08\", expect_size=\"30899200\"] \n  35 -> 39 [size =\"30899200\"]\n  36 [size=\"88524800\", alpha=\"0.06\", expect_size=\"26557440\"] \n  37 [size=\"72304640\", alpha=\"0.05\", expect_size=\"21691392\"] \n  37 -> 40 [size =\"21691392\"]\n  38 [size=\"126863360\", alpha=\"0.03\", expect_size=\"38059008\"] \n  38 -> 39 [size =\"38059008\"]\n  38 -> 40 [size =\"38059008\"]\n  39 [size=\"83735893\", alpha=\"0.04\", expect_size=\"25120768\"] \n  40 [size=\"145237333\", alpha=\"0.11\", expect_size=\"43571200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37399893\", alpha=\"0.05\", expect_size=\"11219968\"] \n  1 -> 5 [size =\"11219968\"]\n  1 -> 7 [size =\"11219968\"]\n  2 [size=\"125184000\", alpha=\"0.00\", expect_size=\"37555200\"] \n  3 [size=\"66723840\", alpha=\"0.14\", expect_size=\"20017152\"] \n  3 -> 4 [size =\"20017152\"]\n  3 -> 6 [size =\"20017152\"]\n  4 [size=\"28265813\", alpha=\"0.14\", expect_size=\"8479744\"] \n  4 -> 9 [size =\"8479744\"]\n  4 -> 15 [size =\"8479744\"]\n  5 [size=\"58129067\", alpha=\"0.08\", expect_size=\"17438720\"] \n  5 -> 8 [size =\"17438720\"]\n  5 -> 9 [size =\"17438720\"]\n  5 -> 10 [size =\"17438720\"]\n  5 -> 13 [size =\"17438720\"]\n  6 [size=\"17902933\", alpha=\"0.03\", expect_size=\"5370880\"] \n  6 -> 9 [size =\"5370880\"]\n  6 -> 10 [size =\"5370880\"]\n  6 -> 11 [size =\"5370880\"]\n  6 -> 12 [size =\"5370880\"]\n  6 -> 13 [size =\"5370880\"]\n  6 -> 15 [size =\"5370880\"]\n  7 [size=\"118476800\", alpha=\"0.16\", expect_size=\"35543040\"] \n  7 -> 8 [size =\"35543040\"]\n  7 -> 11 [size =\"35543040\"]\n  7 -> 13 [size =\"35543040\"]\n  7 -> 14 [size =\"35543040\"]\n  7 -> 15 [size =\"35543040\"]\n  8 [size=\"107106987\", alpha=\"0.01\", expect_size=\"32132096\"] \n  8 -> 17 [size =\"32132096\"]\n  8 -> 18 [size =\"32132096\"]\n  8 -> 19 [size =\"32132096\"]\n  9 [size=\"108588373\", alpha=\"0.19\", expect_size=\"32576512\"] \n  9 -> 18 [size =\"32576512\"]\n  9 -> 18 [size =\"32576512\"]\n  9 -> 20 [size =\"32576512\"]\n  9 -> 21 [size =\"32576512\"]\n  10 [size=\"44714667\", alpha=\"0.16\", expect_size=\"13414400\"] \n  10 -> 17 [size =\"13414400\"]\n  10 -> 18 [size =\"13414400\"]\n  10 -> 19 [size =\"13414400\"]\n  10 -> 20 [size =\"13414400\"]\n  10 -> 21 [size =\"13414400\"]\n  11 [size=\"28504747\", alpha=\"0.07\", expect_size=\"8551424\"] \n  11 -> 17 [size =\"8551424\"]\n  11 -> 19 [size =\"8551424\"]\n  11 -> 20 [size =\"8551424\"]\n  11 -> 21 [size =\"8551424\"]\n  12 [size=\"66215253\", alpha=\"0.02\", expect_size=\"19864576\"] \n  12 -> 17 [size =\"19864576\"]\n  12 -> 18 [size =\"19864576\"]\n  12 -> 20 [size =\"19864576\"]\n  13 [size=\"67160747\", alpha=\"0.12\", expect_size=\"20148224\"] \n  13 -> 16 [size =\"20148224\"]\n  13 -> 17 [size =\"20148224\"]\n  13 -> 19 [size =\"20148224\"]\n  14 [size=\"22961493\", alpha=\"0.08\", expect_size=\"6888448\"] \n  15 [size=\"133567147\", alpha=\"0.01\", expect_size=\"40070144\"] \n  15 -> 20 [size =\"40070144\"]\n  15 -> 21 [size =\"40070144\"]\n  16 [size=\"39181653\", alpha=\"0.01\", expect_size=\"11754496\"] \n  16 -> 22 [size =\"11754496\"]\n  16 -> 25 [size =\"11754496\"]\n  16 -> 27 [size =\"11754496\"]\n  17 [size=\"65788587\", alpha=\"0.09\", expect_size=\"19736576\"] \n  17 -> 26 [size =\"19736576\"]\n  18 [size=\"38031360\", alpha=\"0.19\", expect_size=\"11409408\"] \n  18 -> 22 [size =\"11409408\"]\n  18 -> 26 [size =\"11409408\"]\n  18 -> 28 [size =\"11409408\"]\n  19 [size=\"45909333\", alpha=\"0.14\", expect_size=\"13772800\"] \n  19 -> 23 [size =\"13772800\"]\n  19 -> 24 [size =\"13772800\"]\n  20 [size=\"38761813\", alpha=\"0.03\", expect_size=\"11628544\"] \n  20 -> 24 [size =\"11628544\"]\n  21 [size=\"165294080\", alpha=\"0.15\", expect_size=\"49588224\"] \n  21 -> 23 [size =\"49588224\"]\n  21 -> 25 [size =\"49588224\"]\n  21 -> 26 [size =\"49588224\"]\n  22 [size=\"63146667\", alpha=\"0.20\", expect_size=\"18944000\"] \n  22 -> 32 [size =\"18944000\"]\n  22 -> 33 [size =\"18944000\"]\n  22 -> 34 [size =\"18944000\"]\n  22 -> 36 [size =\"18944000\"]\n  23 [size=\"76113920\", alpha=\"0.12\", expect_size=\"22834176\"] \n  23 -> 30 [size =\"22834176\"]\n  23 -> 33 [size =\"22834176\"]\n  23 -> 36 [size =\"22834176\"]\n  24 [size=\"170608640\", alpha=\"0.05\", expect_size=\"51182592\"] \n  24 -> 29 [size =\"51182592\"]\n  25 [size=\"79295147\", alpha=\"0.03\", expect_size=\"23788544\"] \n  25 -> 35 [size =\"23788544\"]\n  26 [size=\"86142293\", alpha=\"0.01\", expect_size=\"25842688\"] \n  26 -> 31 [size =\"25842688\"]\n  27 [size=\"95057920\", alpha=\"0.12\", expect_size=\"28517376\"] \n  27 -> 30 [size =\"28517376\"]\n  27 -> 33 [size =\"28517376\"]\n  27 -> 34 [size =\"28517376\"]\n  28 [size=\"162054827\", alpha=\"0.14\", expect_size=\"48616448\"] \n  28 -> 34 [size =\"48616448\"]\n  29 [size=\"157064533\", alpha=\"0.08\", expect_size=\"47119360\"] \n  29 -> 37 [size =\"47119360\"]\n  29 -> 40 [size =\"47119360\"]\n  30 [size=\"108376747\", alpha=\"0.06\", expect_size=\"32513024\"] \n  30 -> 37 [size =\"32513024\"]\n  30 -> 38 [size =\"32513024\"]\n  30 -> 40 [size =\"32513024\"]\n  31 [size=\"131467947\", alpha=\"0.05\", expect_size=\"39440384\"] \n  31 -> 37 [size =\"39440384\"]\n  31 -> 38 [size =\"39440384\"]\n  32 [size=\"88975360\", alpha=\"0.10\", expect_size=\"26692608\"] \n  32 -> 39 [size =\"26692608\"]\n  32 -> 40 [size =\"26692608\"]\n  33 [size=\"88613547\", alpha=\"0.01\", expect_size=\"26584064\"] \n  33 -> 38 [size =\"26584064\"]\n  33 -> 40 [size =\"26584064\"]\n  34 [size=\"22340267\", alpha=\"0.14\", expect_size=\"6702080\"] \n  34 -> 38 [size =\"6702080\"]\n  34 -> 40 [size =\"6702080\"]\n  35 [size=\"58238293\", alpha=\"0.00\", expect_size=\"17471488\"] \n  36 [size=\"79670613\", alpha=\"0.10\", expect_size=\"23901184\"] \n  36 -> 37 [size =\"23901184\"]\n  37 [size=\"87063893\", alpha=\"0.06\", expect_size=\"26119168\"] \n  38 [size=\"24142507\", alpha=\"0.04\", expect_size=\"7242752\"] \n  39 [size=\"137820160\", alpha=\"0.06\", expect_size=\"41346048\"] \n  40 [size=\"47349760\", alpha=\"0.11\", expect_size=\"14204928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74531840\", alpha=\"0.01\", expect_size=\"29812736\"] \n  1 -> 9 [size =\"29812736\"]\n  1 -> 10 [size =\"29812736\"]\n  2 [size=\"82744320\", alpha=\"0.10\", expect_size=\"33097728\"] \n  2 -> 8 [size =\"33097728\"]\n  2 -> 10 [size =\"33097728\"]\n  3 [size=\"88709120\", alpha=\"0.11\", expect_size=\"35483648\"] \n  3 -> 9 [size =\"35483648\"]\n  3 -> 11 [size =\"35483648\"]\n  4 [size=\"78658560\", alpha=\"0.05\", expect_size=\"31463424\"] \n  4 -> 10 [size =\"31463424\"]\n  4 -> 11 [size =\"31463424\"]\n  5 [size=\"101580800\", alpha=\"0.05\", expect_size=\"40632320\"] \n  5 -> 9 [size =\"40632320\"]\n  6 [size=\"121139200\", alpha=\"0.17\", expect_size=\"48455680\"] \n  6 -> 9 [size =\"48455680\"]\n  7 [size=\"69688320\", alpha=\"0.19\", expect_size=\"27875328\"] \n  7 -> 10 [size =\"27875328\"]\n  8 [size=\"116375040\", alpha=\"0.18\", expect_size=\"46550016\"] \n  8 -> 12 [size =\"46550016\"]\n  8 -> 14 [size =\"46550016\"]\n  8 -> 15 [size =\"46550016\"]\n  8 -> 16 [size =\"46550016\"]\n  8 -> 17 [size =\"46550016\"]\n  9 [size=\"96020480\", alpha=\"0.16\", expect_size=\"38408192\"] \n  9 -> 12 [size =\"38408192\"]\n  9 -> 13 [size =\"38408192\"]\n  9 -> 14 [size =\"38408192\"]\n  9 -> 15 [size =\"38408192\"]\n  9 -> 16 [size =\"38408192\"]\n  9 -> 17 [size =\"38408192\"]\n  10 [size=\"90780160\", alpha=\"0.15\", expect_size=\"36312064\"] \n  10 -> 12 [size =\"36312064\"]\n  10 -> 15 [size =\"36312064\"]\n  10 -> 17 [size =\"36312064\"]\n  10 -> 18 [size =\"36312064\"]\n  11 [size=\"115827200\", alpha=\"0.04\", expect_size=\"46330880\"] \n  11 -> 14 [size =\"46330880\"]\n  11 -> 15 [size =\"46330880\"]\n  11 -> 17 [size =\"46330880\"]\n  12 [size=\"123781120\", alpha=\"0.08\", expect_size=\"49512448\"] \n  12 -> 19 [size =\"49512448\"]\n  12 -> 20 [size =\"49512448\"]\n  12 -> 21 [size =\"49512448\"]\n  12 -> 23 [size =\"49512448\"]\n  12 -> 25 [size =\"49512448\"]\n  13 [size=\"66014720\", alpha=\"0.02\", expect_size=\"26405888\"] \n  13 -> 19 [size =\"26405888\"]\n  13 -> 23 [size =\"26405888\"]\n  14 [size=\"13793280\", alpha=\"0.00\", expect_size=\"5517312\"] \n  14 -> 19 [size =\"5517312\"]\n  14 -> 22 [size =\"5517312\"]\n  14 -> 23 [size =\"5517312\"]\n  14 -> 24 [size =\"5517312\"]\n  15 [size=\"44730880\", alpha=\"0.13\", expect_size=\"17892352\"] \n  15 -> 23 [size =\"17892352\"]\n  16 [size=\"75200000\", alpha=\"0.12\", expect_size=\"30080000\"] \n  16 -> 19 [size =\"30080000\"]\n  16 -> 20 [size =\"30080000\"]\n  16 -> 21 [size =\"30080000\"]\n  17 [size=\"60303360\", alpha=\"0.15\", expect_size=\"24121344\"] \n  17 -> 22 [size =\"24121344\"]\n  17 -> 23 [size =\"24121344\"]\n  18 [size=\"57024000\", alpha=\"0.01\", expect_size=\"22809600\"] \n  18 -> 19 [size =\"22809600\"]\n  18 -> 21 [size =\"22809600\"]\n  19 [size=\"44206080\", alpha=\"0.10\", expect_size=\"17682432\"] \n  19 -> 27 [size =\"17682432\"]\n  19 -> 27 [size =\"17682432\"]\n  19 -> 29 [size =\"17682432\"]\n  19 -> 30 [size =\"17682432\"]\n  20 [size=\"19701760\", alpha=\"0.06\", expect_size=\"7880704\"] \n  20 -> 26 [size =\"7880704\"]\n  20 -> 27 [size =\"7880704\"]\n  20 -> 30 [size =\"7880704\"]\n  21 [size=\"106045440\", alpha=\"0.13\", expect_size=\"42418176\"] \n  21 -> 30 [size =\"42418176\"]\n  22 [size=\"128832000\", alpha=\"0.11\", expect_size=\"51532800\"] \n  22 -> 27 [size =\"51532800\"]\n  22 -> 30 [size =\"51532800\"]\n  23 [size=\"58557440\", alpha=\"0.02\", expect_size=\"23422976\"] \n  23 -> 27 [size =\"23422976\"]\n  23 -> 28 [size =\"23422976\"]\n  23 -> 29 [size =\"23422976\"]\n  23 -> 30 [size =\"23422976\"]\n  24 [size=\"71656960\", alpha=\"0.04\", expect_size=\"28662784\"] \n  24 -> 26 [size =\"28662784\"]\n  24 -> 27 [size =\"28662784\"]\n  25 [size=\"72179200\", alpha=\"0.01\", expect_size=\"28871680\"] \n  25 -> 26 [size =\"28871680\"]\n  25 -> 27 [size =\"28871680\"]\n  25 -> 29 [size =\"28871680\"]\n  25 -> 30 [size =\"28871680\"]\n  26 [size=\"28032000\", alpha=\"0.16\", expect_size=\"11212800\"] \n  26 -> 32 [size =\"11212800\"]\n  26 -> 34 [size =\"11212800\"]\n  26 -> 36 [size =\"11212800\"]\n  26 -> 37 [size =\"11212800\"]\n  27 [size=\"99548160\", alpha=\"0.01\", expect_size=\"39819264\"] \n  27 -> 31 [size =\"39819264\"]\n  27 -> 33 [size =\"39819264\"]\n  27 -> 37 [size =\"39819264\"]\n  28 [size=\"70860800\", alpha=\"0.04\", expect_size=\"28344320\"] \n  28 -> 33 [size =\"28344320\"]\n  28 -> 37 [size =\"28344320\"]\n  29 [size=\"74736640\", alpha=\"0.00\", expect_size=\"29894656\"] \n  29 -> 31 [size =\"29894656\"]\n  29 -> 32 [size =\"29894656\"]\n  29 -> 33 [size =\"29894656\"]\n  29 -> 35 [size =\"29894656\"]\n  29 -> 37 [size =\"29894656\"]\n  30 [size=\"18383360\", alpha=\"0.10\", expect_size=\"7353344\"] \n  30 -> 32 [size =\"7353344\"]\n  30 -> 35 [size =\"7353344\"]\n  30 -> 37 [size =\"7353344\"]\n  31 [size=\"55864320\", alpha=\"0.17\", expect_size=\"22345728\"] \n  31 -> 39 [size =\"22345728\"]\n  32 [size=\"130639360\", alpha=\"0.03\", expect_size=\"52255744\"] \n  32 -> 40 [size =\"52255744\"]\n  33 [size=\"76418560\", alpha=\"0.18\", expect_size=\"30567424\"] \n  34 [size=\"86773760\", alpha=\"0.13\", expect_size=\"34709504\"] \n  34 -> 40 [size =\"34709504\"]\n  35 [size=\"109286400\", alpha=\"0.13\", expect_size=\"43714560\"] \n  35 -> 39 [size =\"43714560\"]\n  35 -> 40 [size =\"43714560\"]\n  36 [size=\"114472960\", alpha=\"0.04\", expect_size=\"45789184\"] \n  36 -> 38 [size =\"45789184\"]\n  37 [size=\"92398080\", alpha=\"0.03\", expect_size=\"36959232\"] \n  38 [size=\"99645440\", alpha=\"0.09\", expect_size=\"39858176\"] \n  39 [size=\"121520640\", alpha=\"0.01\", expect_size=\"48608256\"] \n  40 [size=\"122969600\", alpha=\"0.13\", expect_size=\"49187840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73369600\", alpha=\"0.02\", expect_size=\"29347840\"] \n  1 -> 20 [size =\"29347840\"]\n  1 -> 22 [size =\"29347840\"]\n  1 -> 29 [size =\"29347840\"]\n  1 -> 38 [size =\"29347840\"]\n  2 [size=\"106644480\", alpha=\"0.14\", expect_size=\"42657792\"] \n  2 -> 20 [size =\"42657792\"]\n  2 -> 25 [size =\"42657792\"]\n  2 -> 26 [size =\"42657792\"]\n  2 -> 31 [size =\"42657792\"]\n  2 -> 38 [size =\"42657792\"]\n  2 -> 39 [size =\"42657792\"]\n  2 -> 40 [size =\"42657792\"]\n  3 [size=\"90816000\", alpha=\"0.04\", expect_size=\"36326400\"] \n  3 -> 20 [size =\"36326400\"]\n  3 -> 23 [size =\"36326400\"]\n  3 -> 25 [size =\"36326400\"]\n  3 -> 26 [size =\"36326400\"]\n  3 -> 29 [size =\"36326400\"]\n  3 -> 30 [size =\"36326400\"]\n  3 -> 38 [size =\"36326400\"]\n  4 [size=\"19921920\", alpha=\"0.18\", expect_size=\"7968768\"] \n  4 -> 20 [size =\"7968768\"]\n  4 -> 24 [size =\"7968768\"]\n  4 -> 25 [size =\"7968768\"]\n  4 -> 30 [size =\"7968768\"]\n  4 -> 32 [size =\"7968768\"]\n  4 -> 35 [size =\"7968768\"]\n  4 -> 38 [size =\"7968768\"]\n  4 -> 40 [size =\"7968768\"]\n  5 [size=\"72565760\", alpha=\"0.09\", expect_size=\"29026304\"] \n  5 -> 24 [size =\"29026304\"]\n  5 -> 25 [size =\"29026304\"]\n  5 -> 26 [size =\"29026304\"]\n  5 -> 30 [size =\"29026304\"]\n  5 -> 31 [size =\"29026304\"]\n  5 -> 38 [size =\"29026304\"]\n  6 [size=\"113400320\", alpha=\"0.02\", expect_size=\"45360128\"] \n  6 -> 25 [size =\"45360128\"]\n  6 -> 26 [size =\"45360128\"]\n  6 -> 30 [size =\"45360128\"]\n  6 -> 31 [size =\"45360128\"]\n  6 -> 38 [size =\"45360128\"]\n  6 -> 38 [size =\"45360128\"]\n  6 -> 39 [size =\"45360128\"]\n  7 [size=\"45237760\", alpha=\"0.08\", expect_size=\"18095104\"] \n  7 -> 20 [size =\"18095104\"]\n  7 -> 21 [size =\"18095104\"]\n  7 -> 25 [size =\"18095104\"]\n  7 -> 30 [size =\"18095104\"]\n  7 -> 32 [size =\"18095104\"]\n  7 -> 40 [size =\"18095104\"]\n  8 [size=\"43717120\", alpha=\"0.02\", expect_size=\"17486848\"] \n  8 -> 20 [size =\"17486848\"]\n  8 -> 21 [size =\"17486848\"]\n  8 -> 22 [size =\"17486848\"]\n  8 -> 25 [size =\"17486848\"]\n  8 -> 32 [size =\"17486848\"]\n  8 -> 34 [size =\"17486848\"]\n  8 -> 38 [size =\"17486848\"]\n  9 [size=\"106718720\", alpha=\"0.05\", expect_size=\"42687488\"] \n  9 -> 21 [size =\"42687488\"]\n  9 -> 24 [size =\"42687488\"]\n  9 -> 25 [size =\"42687488\"]\n  9 -> 26 [size =\"42687488\"]\n  9 -> 27 [size =\"42687488\"]\n  9 -> 30 [size =\"42687488\"]\n  9 -> 32 [size =\"42687488\"]\n  9 -> 34 [size =\"42687488\"]\n  9 -> 36 [size =\"42687488\"]\n  9 -> 39 [size =\"42687488\"]\n  9 -> 40 [size =\"42687488\"]\n  10 [size=\"33797120\", alpha=\"0.10\", expect_size=\"13518848\"] \n  10 -> 20 [size =\"13518848\"]\n  10 -> 22 [size =\"13518848\"]\n  10 -> 24 [size =\"13518848\"]\n  10 -> 25 [size =\"13518848\"]\n  10 -> 26 [size =\"13518848\"]\n  10 -> 30 [size =\"13518848\"]\n  10 -> 31 [size =\"13518848\"]\n  10 -> 34 [size =\"13518848\"]\n  10 -> 35 [size =\"13518848\"]\n  10 -> 37 [size =\"13518848\"]\n  11 [size=\"93562880\", alpha=\"0.04\", expect_size=\"37425152\"] \n  11 -> 24 [size =\"37425152\"]\n  11 -> 25 [size =\"37425152\"]\n  11 -> 28 [size =\"37425152\"]\n  11 -> 30 [size =\"37425152\"]\n  11 -> 33 [size =\"37425152\"]\n  11 -> 34 [size =\"37425152\"]\n  11 -> 35 [size =\"37425152\"]\n  11 -> 38 [size =\"37425152\"]\n  12 [size=\"105702400\", alpha=\"0.07\", expect_size=\"42280960\"] \n  12 -> 20 [size =\"42280960\"]\n  12 -> 22 [size =\"42280960\"]\n  12 -> 24 [size =\"42280960\"]\n  12 -> 26 [size =\"42280960\"]\n  12 -> 28 [size =\"42280960\"]\n  12 -> 34 [size =\"42280960\"]\n  12 -> 39 [size =\"42280960\"]\n  13 [size=\"72358400\", alpha=\"0.05\", expect_size=\"28943360\"] \n  13 -> 20 [size =\"28943360\"]\n  13 -> 21 [size =\"28943360\"]\n  13 -> 22 [size =\"28943360\"]\n  13 -> 34 [size =\"28943360\"]\n  13 -> 35 [size =\"28943360\"]\n  13 -> 37 [size =\"28943360\"]\n  13 -> 39 [size =\"28943360\"]\n  14 [size=\"96460800\", alpha=\"0.01\", expect_size=\"38584320\"] \n  14 -> 20 [size =\"38584320\"]\n  14 -> 22 [size =\"38584320\"]\n  14 -> 22 [size =\"38584320\"]\n  14 -> 25 [size =\"38584320\"]\n  14 -> 30 [size =\"38584320\"]\n  14 -> 31 [size =\"38584320\"]\n  14 -> 34 [size =\"38584320\"]\n  14 -> 35 [size =\"38584320\"]\n  15 [size=\"86689280\", alpha=\"0.04\", expect_size=\"34675712\"] \n  15 -> 22 [size =\"34675712\"]\n  15 -> 26 [size =\"34675712\"]\n  15 -> 30 [size =\"34675712\"]\n  15 -> 35 [size =\"34675712\"]\n  16 [size=\"19709440\", alpha=\"0.16\", expect_size=\"7883776\"] \n  16 -> 20 [size =\"7883776\"]\n  16 -> 22 [size =\"7883776\"]\n  16 -> 23 [size =\"7883776\"]\n  16 -> 25 [size =\"7883776\"]\n  16 -> 31 [size =\"7883776\"]\n  16 -> 34 [size =\"7883776\"]\n  16 -> 35 [size =\"7883776\"]\n  16 -> 38 [size =\"7883776\"]\n  17 [size=\"29432320\", alpha=\"0.06\", expect_size=\"11772928\"] \n  17 -> 20 [size =\"11772928\"]\n  17 -> 30 [size =\"11772928\"]\n  17 -> 31 [size =\"11772928\"]\n  17 -> 32 [size =\"11772928\"]\n  17 -> 34 [size =\"11772928\"]\n  17 -> 37 [size =\"11772928\"]\n  17 -> 39 [size =\"11772928\"]\n  18 [size=\"77616640\", alpha=\"0.18\", expect_size=\"31046656\"] \n  18 -> 20 [size =\"31046656\"]\n  18 -> 23 [size =\"31046656\"]\n  18 -> 37 [size =\"31046656\"]\n  18 -> 38 [size =\"31046656\"]\n  18 -> 39 [size =\"31046656\"]\n  19 [size=\"89495040\", alpha=\"0.03\", expect_size=\"35798016\"] \n  19 -> 20 [size =\"35798016\"]\n  19 -> 28 [size =\"35798016\"]\n  19 -> 31 [size =\"35798016\"]\n  19 -> 32 [size =\"35798016\"]\n  19 -> 38 [size =\"35798016\"]\n  19 -> 39 [size =\"35798016\"]\n  20 [size=\"119526400\", alpha=\"0.18\", expect_size=\"47810560\"] \n  21 [size=\"58240000\", alpha=\"0.04\", expect_size=\"23296000\"] \n  22 [size=\"83512320\", alpha=\"0.06\", expect_size=\"33404928\"] \n  23 [size=\"122782720\", alpha=\"0.01\", expect_size=\"49113088\"] \n  24 [size=\"33331200\", alpha=\"0.17\", expect_size=\"13332480\"] \n  25 [size=\"39252480\", alpha=\"0.03\", expect_size=\"15700992\"] \n  26 [size=\"61483520\", alpha=\"0.07\", expect_size=\"24593408\"] \n  27 [size=\"35351040\", alpha=\"0.15\", expect_size=\"14140416\"] \n  28 [size=\"69281280\", alpha=\"0.09\", expect_size=\"27712512\"] \n  29 [size=\"59530240\", alpha=\"0.19\", expect_size=\"23812096\"] \n  30 [size=\"75333120\", alpha=\"0.12\", expect_size=\"30133248\"] \n  31 [size=\"65786880\", alpha=\"0.19\", expect_size=\"26314752\"] \n  32 [size=\"91156480\", alpha=\"0.01\", expect_size=\"36462592\"] \n  33 [size=\"127016960\", alpha=\"0.14\", expect_size=\"50806784\"] \n  34 [size=\"15142400\", alpha=\"0.01\", expect_size=\"6056960\"] \n  35 [size=\"116249600\", alpha=\"0.20\", expect_size=\"46499840\"] \n  36 [size=\"17937920\", alpha=\"0.00\", expect_size=\"7175168\"] \n  37 [size=\"56427520\", alpha=\"0.03\", expect_size=\"22571008\"] \n  38 [size=\"27927040\", alpha=\"0.17\", expect_size=\"11170816\"] \n  39 [size=\"81008640\", alpha=\"0.04\", expect_size=\"32403456\"] \n  40 [size=\"73356800\", alpha=\"0.09\", expect_size=\"29342720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104064000\", alpha=\"0.05\", expect_size=\"41625600\"] \n  1 -> 9 [size =\"41625600\"]\n  1 -> 10 [size =\"41625600\"]\n  1 -> 11 [size =\"41625600\"]\n  1 -> 12 [size =\"41625600\"]\n  2 [size=\"58324480\", alpha=\"0.00\", expect_size=\"23329792\"] \n  2 -> 10 [size =\"23329792\"]\n  2 -> 11 [size =\"23329792\"]\n  3 [size=\"70855680\", alpha=\"0.06\", expect_size=\"28342272\"] \n  3 -> 11 [size =\"28342272\"]\n  3 -> 12 [size =\"28342272\"]\n  4 [size=\"117117440\", alpha=\"0.08\", expect_size=\"46846976\"] \n  4 -> 8 [size =\"46846976\"]\n  4 -> 12 [size =\"46846976\"]\n  5 [size=\"121745920\", alpha=\"0.16\", expect_size=\"48698368\"] \n  5 -> 9 [size =\"48698368\"]\n  5 -> 12 [size =\"48698368\"]\n  6 [size=\"13890560\", alpha=\"0.11\", expect_size=\"5556224\"] \n  6 -> 9 [size =\"5556224\"]\n  7 [size=\"97958400\", alpha=\"0.09\", expect_size=\"39183360\"] \n  7 -> 10 [size =\"39183360\"]\n  8 [size=\"108759040\", alpha=\"0.08\", expect_size=\"43503616\"] \n  8 -> 13 [size =\"43503616\"]\n  8 -> 15 [size =\"43503616\"]\n  8 -> 16 [size =\"43503616\"]\n  9 [size=\"30274560\", alpha=\"0.15\", expect_size=\"12109824\"] \n  9 -> 13 [size =\"12109824\"]\n  9 -> 15 [size =\"12109824\"]\n  10 [size=\"86100480\", alpha=\"0.12\", expect_size=\"34440192\"] \n  10 -> 13 [size =\"34440192\"]\n  11 [size=\"122677760\", alpha=\"0.04\", expect_size=\"49071104\"] \n  11 -> 14 [size =\"49071104\"]\n  12 [size=\"31424000\", alpha=\"0.06\", expect_size=\"12569600\"] \n  12 -> 14 [size =\"12569600\"]\n  12 -> 15 [size =\"12569600\"]\n  12 -> 16 [size =\"12569600\"]\n  13 [size=\"34309120\", alpha=\"0.07\", expect_size=\"13723648\"] \n  13 -> 18 [size =\"13723648\"]\n  13 -> 19 [size =\"13723648\"]\n  13 -> 20 [size =\"13723648\"]\n  13 -> 21 [size =\"13723648\"]\n  14 [size=\"69672960\", alpha=\"0.07\", expect_size=\"27869184\"] \n  14 -> 21 [size =\"27869184\"]\n  15 [size=\"118179840\", alpha=\"0.19\", expect_size=\"47271936\"] \n  16 [size=\"96942080\", alpha=\"0.11\", expect_size=\"38776832\"] \n  16 -> 17 [size =\"38776832\"]\n  16 -> 19 [size =\"38776832\"]\n  17 [size=\"45752320\", alpha=\"0.03\", expect_size=\"18300928\"] \n  18 [size=\"98524160\", alpha=\"0.14\", expect_size=\"39409664\"] \n  19 [size=\"26675200\", alpha=\"0.06\", expect_size=\"10670080\"] \n  19 -> 22 [size =\"10670080\"]\n  19 -> 23 [size =\"10670080\"]\n  20 [size=\"117035520\", alpha=\"0.04\", expect_size=\"46814208\"] \n  20 -> 22 [size =\"46814208\"]\n  20 -> 23 [size =\"46814208\"]\n  20 -> 24 [size =\"46814208\"]\n  20 -> 25 [size =\"46814208\"]\n  20 -> 26 [size =\"46814208\"]\n  21 [size=\"70771200\", alpha=\"0.17\", expect_size=\"28308480\"] \n  21 -> 22 [size =\"28308480\"]\n  21 -> 26 [size =\"28308480\"]\n  22 [size=\"92861440\", alpha=\"0.17\", expect_size=\"37144576\"] \n  22 -> 28 [size =\"37144576\"]\n  22 -> 29 [size =\"37144576\"]\n  22 -> 31 [size =\"37144576\"]\n  23 [size=\"128215040\", alpha=\"0.08\", expect_size=\"51286016\"] \n  23 -> 27 [size =\"51286016\"]\n  23 -> 28 [size =\"51286016\"]\n  23 -> 31 [size =\"51286016\"]\n  24 [size=\"52572160\", alpha=\"0.16\", expect_size=\"21028864\"] \n  24 -> 27 [size =\"21028864\"]\n  24 -> 30 [size =\"21028864\"]\n  25 [size=\"92331520\", alpha=\"0.02\", expect_size=\"36932608\"] \n  25 -> 31 [size =\"36932608\"]\n  26 [size=\"87237120\", alpha=\"0.08\", expect_size=\"34894848\"] \n  26 -> 27 [size =\"34894848\"]\n  26 -> 28 [size =\"34894848\"]\n  27 [size=\"33943040\", alpha=\"0.09\", expect_size=\"13577216\"] \n  27 -> 33 [size =\"13577216\"]\n  27 -> 35 [size =\"13577216\"]\n  28 [size=\"52682240\", alpha=\"0.07\", expect_size=\"21072896\"] \n  28 -> 32 [size =\"21072896\"]\n  28 -> 33 [size =\"21072896\"]\n  28 -> 34 [size =\"21072896\"]\n  28 -> 35 [size =\"21072896\"]\n  28 -> 37 [size =\"21072896\"]\n  29 [size=\"14888960\", alpha=\"0.07\", expect_size=\"5955584\"] \n  29 -> 32 [size =\"5955584\"]\n  30 [size=\"52318720\", alpha=\"0.19\", expect_size=\"20927488\"] \n  30 -> 32 [size =\"20927488\"]\n  30 -> 33 [size =\"20927488\"]\n  30 -> 38 [size =\"20927488\"]\n  31 [size=\"74795520\", alpha=\"0.10\", expect_size=\"29918208\"] \n  31 -> 34 [size =\"29918208\"]\n  31 -> 35 [size =\"29918208\"]\n  31 -> 36 [size =\"29918208\"]\n  31 -> 38 [size =\"29918208\"]\n  32 [size=\"55308800\", alpha=\"0.04\", expect_size=\"22123520\"] \n  32 -> 40 [size =\"22123520\"]\n  33 [size=\"39080960\", alpha=\"0.02\", expect_size=\"15632384\"] \n  33 -> 39 [size =\"15632384\"]\n  34 [size=\"83857920\", alpha=\"0.09\", expect_size=\"33543168\"] \n  35 [size=\"57725440\", alpha=\"0.14\", expect_size=\"23090176\"] \n  35 -> 39 [size =\"23090176\"]\n  36 [size=\"69324800\", alpha=\"0.14\", expect_size=\"27729920\"] \n  36 -> 40 [size =\"27729920\"]\n  37 [size=\"119439360\", alpha=\"0.18\", expect_size=\"47775744\"] \n  37 -> 40 [size =\"47775744\"]\n  38 [size=\"56993280\", alpha=\"0.18\", expect_size=\"22797312\"] \n  39 [size=\"95603200\", alpha=\"0.19\", expect_size=\"38241280\"] \n  40 [size=\"16512000\", alpha=\"0.19\", expect_size=\"6604800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44421120\", alpha=\"0.17\", expect_size=\"13326336\"] \n  1 -> 2 [size =\"13326336\"]\n  1 -> 3 [size =\"13326336\"]\n  1 -> 4 [size =\"13326336\"]\n  2 [size=\"55988907\", alpha=\"0.15\", expect_size=\"16796672\"] \n  2 -> 5 [size =\"16796672\"]\n  2 -> 6 [size =\"16796672\"]\n  3 [size=\"54845440\", alpha=\"0.01\", expect_size=\"16453632\"] \n  3 -> 6 [size =\"16453632\"]\n  3 -> 6 [size =\"16453632\"]\n  4 [size=\"23616853\", alpha=\"0.00\", expect_size=\"7085056\"] \n  4 -> 5 [size =\"7085056\"]\n  5 [size=\"119657813\", alpha=\"0.15\", expect_size=\"35897344\"] \n  5 -> 7 [size =\"35897344\"]\n  6 [size=\"145408000\", alpha=\"0.20\", expect_size=\"43622400\"] \n  7 [size=\"148445867\", alpha=\"0.14\", expect_size=\"44533760\"] \n  7 -> 8 [size =\"44533760\"]\n  7 -> 9 [size =\"44533760\"]\n  8 [size=\"159259307\", alpha=\"0.11\", expect_size=\"47777792\"] \n  8 -> 10 [size =\"47777792\"]\n  8 -> 12 [size =\"47777792\"]\n  9 [size=\"120657920\", alpha=\"0.06\", expect_size=\"36197376\"] \n  9 -> 11 [size =\"36197376\"]\n  9 -> 12 [size =\"36197376\"]\n  10 [size=\"108400640\", alpha=\"0.05\", expect_size=\"32520192\"] \n  10 -> 13 [size =\"32520192\"]\n  11 [size=\"27665067\", alpha=\"0.04\", expect_size=\"8299520\"] \n  11 -> 13 [size =\"8299520\"]\n  12 [size=\"165263360\", alpha=\"0.05\", expect_size=\"49579008\"] \n  12 -> 13 [size =\"49579008\"]\n  13 [size=\"124426240\", alpha=\"0.00\", expect_size=\"37327872\"] \n  13 -> 14 [size =\"37327872\"]\n  13 -> 15 [size =\"37327872\"]\n  13 -> 16 [size =\"37327872\"]\n  13 -> 17 [size =\"37327872\"]\n  14 [size=\"134679893\", alpha=\"0.04\", expect_size=\"40403968\"] \n  14 -> 18 [size =\"40403968\"]\n  14 -> 20 [size =\"40403968\"]\n  14 -> 20 [size =\"40403968\"]\n  15 [size=\"137669973\", alpha=\"0.03\", expect_size=\"41300992\"] \n  15 -> 21 [size =\"41300992\"]\n  16 [size=\"102055253\", alpha=\"0.15\", expect_size=\"30616576\"] \n  16 -> 20 [size =\"30616576\"]\n  16 -> 21 [size =\"30616576\"]\n  17 [size=\"102000640\", alpha=\"0.14\", expect_size=\"30600192\"] \n  17 -> 18 [size =\"30600192\"]\n  17 -> 19 [size =\"30600192\"]\n  17 -> 20 [size =\"30600192\"]\n  17 -> 21 [size =\"30600192\"]\n  18 [size=\"51903147\", alpha=\"0.12\", expect_size=\"15570944\"] \n  18 -> 22 [size =\"15570944\"]\n  18 -> 24 [size =\"15570944\"]\n  19 [size=\"141407573\", alpha=\"0.14\", expect_size=\"42422272\"] \n  19 -> 22 [size =\"42422272\"]\n  19 -> 23 [size =\"42422272\"]\n  19 -> 24 [size =\"42422272\"]\n  20 [size=\"28590080\", alpha=\"0.19\", expect_size=\"8577024\"] \n  20 -> 22 [size =\"8577024\"]\n  20 -> 23 [size =\"8577024\"]\n  20 -> 24 [size =\"8577024\"]\n  21 [size=\"69997227\", alpha=\"0.08\", expect_size=\"20999168\"] \n  21 -> 22 [size =\"20999168\"]\n  22 [size=\"98744320\", alpha=\"0.01\", expect_size=\"29623296\"] \n  22 -> 25 [size =\"29623296\"]\n  23 [size=\"139543893\", alpha=\"0.20\", expect_size=\"41863168\"] \n  23 -> 25 [size =\"41863168\"]\n  24 [size=\"142899200\", alpha=\"0.19\", expect_size=\"42869760\"] \n  24 -> 25 [size =\"42869760\"]\n  24 -> 26 [size =\"42869760\"]\n  25 [size=\"170513067\", alpha=\"0.11\", expect_size=\"51153920\"] \n  25 -> 27 [size =\"51153920\"]\n  25 -> 28 [size =\"51153920\"]\n  25 -> 29 [size =\"51153920\"]\n  26 [size=\"34061653\", alpha=\"0.19\", expect_size=\"10218496\"] \n  26 -> 27 [size =\"10218496\"]\n  26 -> 28 [size =\"10218496\"]\n  26 -> 29 [size =\"10218496\"]\n  27 [size=\"152582827\", alpha=\"0.04\", expect_size=\"45774848\"] \n  27 -> 30 [size =\"45774848\"]\n  27 -> 31 [size =\"45774848\"]\n  28 [size=\"108544000\", alpha=\"0.07\", expect_size=\"32563200\"] \n  28 -> 30 [size =\"32563200\"]\n  28 -> 32 [size =\"32563200\"]\n  28 -> 33 [size =\"32563200\"]\n  29 [size=\"44284587\", alpha=\"0.03\", expect_size=\"13285376\"] \n  29 -> 30 [size =\"13285376\"]\n  29 -> 32 [size =\"13285376\"]\n  29 -> 33 [size =\"13285376\"]\n  30 [size=\"156596907\", alpha=\"0.11\", expect_size=\"46979072\"] \n  30 -> 34 [size =\"46979072\"]\n  31 [size=\"152132267\", alpha=\"0.19\", expect_size=\"45639680\"] \n  31 -> 34 [size =\"45639680\"]\n  32 [size=\"57835520\", alpha=\"0.07\", expect_size=\"17350656\"] \n  32 -> 34 [size =\"17350656\"]\n  33 [size=\"69509120\", alpha=\"0.09\", expect_size=\"20852736\"] \n  34 [size=\"67239253\", alpha=\"0.05\", expect_size=\"20171776\"] \n  34 -> 35 [size =\"20171776\"]\n  34 -> 36 [size =\"20171776\"]\n  34 -> 37 [size =\"20171776\"]\n  34 -> 38 [size =\"20171776\"]\n  35 [size=\"57163093\", alpha=\"0.16\", expect_size=\"17148928\"] \n  35 -> 39 [size =\"17148928\"]\n  35 -> 40 [size =\"17148928\"]\n  36 [size=\"141465600\", alpha=\"0.19\", expect_size=\"42439680\"] \n  36 -> 39 [size =\"42439680\"]\n  36 -> 40 [size =\"42439680\"]\n  37 [size=\"133512533\", alpha=\"0.12\", expect_size=\"40053760\"] \n  37 -> 39 [size =\"40053760\"]\n  37 -> 40 [size =\"40053760\"]\n  38 [size=\"164270080\", alpha=\"0.09\", expect_size=\"49281024\"] \n  38 -> 39 [size =\"49281024\"]\n  39 [size=\"60951893\", alpha=\"0.02\", expect_size=\"18285568\"] \n  40 [size=\"84026027\", alpha=\"0.17\", expect_size=\"25207808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128815787\", alpha=\"0.06\", expect_size=\"38644736\"] \n  1 -> 19 [size =\"38644736\"]\n  1 -> 20 [size =\"38644736\"]\n  1 -> 22 [size =\"38644736\"]\n  1 -> 24 [size =\"38644736\"]\n  1 -> 25 [size =\"38644736\"]\n  2 [size=\"172919467\", alpha=\"0.08\", expect_size=\"51875840\"] \n  2 -> 13 [size =\"51875840\"]\n  2 -> 16 [size =\"51875840\"]\n  2 -> 17 [size =\"51875840\"]\n  2 -> 19 [size =\"51875840\"]\n  2 -> 20 [size =\"51875840\"]\n  2 -> 24 [size =\"51875840\"]\n  3 [size=\"58668373\", alpha=\"0.14\", expect_size=\"17600512\"] \n  3 -> 13 [size =\"17600512\"]\n  3 -> 19 [size =\"17600512\"]\n  3 -> 20 [size =\"17600512\"]\n  3 -> 23 [size =\"17600512\"]\n  3 -> 24 [size =\"17600512\"]\n  3 -> 25 [size =\"17600512\"]\n  3 -> 26 [size =\"17600512\"]\n  4 [size=\"132061867\", alpha=\"0.18\", expect_size=\"39618560\"] \n  4 -> 13 [size =\"39618560\"]\n  4 -> 14 [size =\"39618560\"]\n  4 -> 18 [size =\"39618560\"]\n  4 -> 20 [size =\"39618560\"]\n  4 -> 22 [size =\"39618560\"]\n  4 -> 24 [size =\"39618560\"]\n  5 [size=\"99652267\", alpha=\"0.15\", expect_size=\"29895680\"] \n  5 -> 19 [size =\"29895680\"]\n  5 -> 20 [size =\"29895680\"]\n  5 -> 21 [size =\"29895680\"]\n  5 -> 22 [size =\"29895680\"]\n  5 -> 24 [size =\"29895680\"]\n  5 -> 25 [size =\"29895680\"]\n  6 [size=\"104601600\", alpha=\"0.07\", expect_size=\"31380480\"] \n  6 -> 16 [size =\"31380480\"]\n  6 -> 18 [size =\"31380480\"]\n  6 -> 21 [size =\"31380480\"]\n  6 -> 24 [size =\"31380480\"]\n  6 -> 25 [size =\"31380480\"]\n  7 [size=\"37225813\", alpha=\"0.00\", expect_size=\"11167744\"] \n  7 -> 13 [size =\"11167744\"]\n  7 -> 14 [size =\"11167744\"]\n  7 -> 19 [size =\"11167744\"]\n  8 [size=\"171045547\", alpha=\"0.18\", expect_size=\"51313664\"] \n  8 -> 13 [size =\"51313664\"]\n  8 -> 15 [size =\"51313664\"]\n  8 -> 20 [size =\"51313664\"]\n  8 -> 21 [size =\"51313664\"]\n  8 -> 24 [size =\"51313664\"]\n  9 [size=\"144721920\", alpha=\"0.10\", expect_size=\"43416576\"] \n  9 -> 15 [size =\"43416576\"]\n  9 -> 16 [size =\"43416576\"]\n  9 -> 21 [size =\"43416576\"]\n  10 [size=\"46448640\", alpha=\"0.16\", expect_size=\"13934592\"] \n  10 -> 13 [size =\"13934592\"]\n  10 -> 18 [size =\"13934592\"]\n  10 -> 20 [size =\"13934592\"]\n  10 -> 21 [size =\"13934592\"]\n  10 -> 24 [size =\"13934592\"]\n  11 [size=\"70550187\", alpha=\"0.08\", expect_size=\"21165056\"] \n  11 -> 15 [size =\"21165056\"]\n  11 -> 18 [size =\"21165056\"]\n  11 -> 19 [size =\"21165056\"]\n  11 -> 21 [size =\"21165056\"]\n  11 -> 22 [size =\"21165056\"]\n  11 -> 25 [size =\"21165056\"]\n  12 [size=\"115111253\", alpha=\"0.08\", expect_size=\"34533376\"] \n  12 -> 15 [size =\"34533376\"]\n  12 -> 19 [size =\"34533376\"]\n  12 -> 20 [size =\"34533376\"]\n  12 -> 21 [size =\"34533376\"]\n  12 -> 22 [size =\"34533376\"]\n  13 [size=\"23108267\", alpha=\"0.19\", expect_size=\"6932480\"] \n  13 -> 29 [size =\"6932480\"]\n  13 -> 35 [size =\"6932480\"]\n  13 -> 36 [size =\"6932480\"]\n  14 [size=\"135444480\", alpha=\"0.18\", expect_size=\"40633344\"] \n  14 -> 34 [size =\"40633344\"]\n  14 -> 35 [size =\"40633344\"]\n  15 [size=\"118719147\", alpha=\"0.17\", expect_size=\"35615744\"] \n  15 -> 27 [size =\"35615744\"]\n  15 -> 35 [size =\"35615744\"]\n  15 -> 37 [size =\"35615744\"]\n  16 [size=\"78895787\", alpha=\"0.11\", expect_size=\"23668736\"] \n  16 -> 34 [size =\"23668736\"]\n  16 -> 37 [size =\"23668736\"]\n  17 [size=\"131102720\", alpha=\"0.11\", expect_size=\"39330816\"] \n  17 -> 27 [size =\"39330816\"]\n  17 -> 29 [size =\"39330816\"]\n  17 -> 34 [size =\"39330816\"]\n  17 -> 35 [size =\"39330816\"]\n  18 [size=\"131822933\", alpha=\"0.02\", expect_size=\"39546880\"] \n  18 -> 27 [size =\"39546880\"]\n  18 -> 34 [size =\"39546880\"]\n  19 [size=\"114015573\", alpha=\"0.13\", expect_size=\"34204672\"] \n  19 -> 27 [size =\"34204672\"]\n  19 -> 28 [size =\"34204672\"]\n  19 -> 30 [size =\"34204672\"]\n  19 -> 33 [size =\"34204672\"]\n  20 [size=\"31965867\", alpha=\"0.04\", expect_size=\"9589760\"] \n  20 -> 31 [size =\"9589760\"]\n  21 [size=\"158576640\", alpha=\"0.09\", expect_size=\"47572992\"] \n  21 -> 34 [size =\"47572992\"]\n  21 -> 35 [size =\"47572992\"]\n  21 -> 38 [size =\"47572992\"]\n  22 [size=\"67795627\", alpha=\"0.14\", expect_size=\"20338688\"] \n  22 -> 30 [size =\"20338688\"]\n  23 [size=\"133034667\", alpha=\"0.04\", expect_size=\"39910400\"] \n  23 -> 28 [size =\"39910400\"]\n  23 -> 30 [size =\"39910400\"]\n  23 -> 35 [size =\"39910400\"]\n  24 [size=\"124299947\", alpha=\"0.09\", expect_size=\"37289984\"] \n  24 -> 30 [size =\"37289984\"]\n  24 -> 30 [size =\"37289984\"]\n  24 -> 31 [size =\"37289984\"]\n  24 -> 34 [size =\"37289984\"]\n  24 -> 35 [size =\"37289984\"]\n  24 -> 36 [size =\"37289984\"]\n  24 -> 37 [size =\"37289984\"]\n  24 -> 38 [size =\"37289984\"]\n  25 [size=\"108424533\", alpha=\"0.04\", expect_size=\"32527360\"] \n  25 -> 27 [size =\"32527360\"]\n  25 -> 28 [size =\"32527360\"]\n  25 -> 29 [size =\"32527360\"]\n  25 -> 30 [size =\"32527360\"]\n  25 -> 32 [size =\"32527360\"]\n  25 -> 34 [size =\"32527360\"]\n  25 -> 35 [size =\"32527360\"]\n  25 -> 37 [size =\"32527360\"]\n  26 [size=\"82660693\", alpha=\"0.10\", expect_size=\"24798208\"] \n  26 -> 30 [size =\"24798208\"]\n  26 -> 34 [size =\"24798208\"]\n  26 -> 35 [size =\"24798208\"]\n  26 -> 38 [size =\"24798208\"]\n  27 [size=\"168321707\", alpha=\"0.19\", expect_size=\"50496512\"] \n  28 [size=\"94917973\", alpha=\"0.07\", expect_size=\"28475392\"] \n  28 -> 39 [size =\"28475392\"]\n  29 [size=\"108854613\", alpha=\"0.12\", expect_size=\"32656384\"] \n  30 [size=\"53944320\", alpha=\"0.20\", expect_size=\"16183296\"] \n  30 -> 39 [size =\"16183296\"]\n  31 [size=\"85251413\", alpha=\"0.15\", expect_size=\"25575424\"] \n  31 -> 40 [size =\"25575424\"]\n  32 [size=\"156829013\", alpha=\"0.02\", expect_size=\"47048704\"] \n  32 -> 39 [size =\"47048704\"]\n  33 [size=\"109547520\", alpha=\"0.10\", expect_size=\"32864256\"] \n  34 [size=\"141892267\", alpha=\"0.13\", expect_size=\"42567680\"] \n  34 -> 39 [size =\"42567680\"]\n  35 [size=\"53872640\", alpha=\"0.09\", expect_size=\"16161792\"] \n  35 -> 40 [size =\"16161792\"]\n  36 [size=\"84954453\", alpha=\"0.13\", expect_size=\"25486336\"] \n  36 -> 39 [size =\"25486336\"]\n  37 [size=\"164980053\", alpha=\"0.11\", expect_size=\"49494016\"] \n  37 -> 39 [size =\"49494016\"]\n  38 [size=\"156419413\", alpha=\"0.03\", expect_size=\"46925824\"] \n  38 -> 40 [size =\"46925824\"]\n  39 [size=\"55548587\", alpha=\"0.08\", expect_size=\"16664576\"] \n  40 [size=\"146909867\", alpha=\"0.15\", expect_size=\"44072960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165027840\", alpha=\"0.12\", expect_size=\"49508352\"] \n  1 -> 28 [size =\"49508352\"]\n  1 -> 30 [size =\"49508352\"]\n  1 -> 31 [size =\"49508352\"]\n  1 -> 32 [size =\"49508352\"]\n  1 -> 35 [size =\"49508352\"]\n  1 -> 36 [size =\"49508352\"]\n  2 [size=\"27992747\", alpha=\"0.02\", expect_size=\"8397824\"] \n  2 -> 28 [size =\"8397824\"]\n  2 -> 29 [size =\"8397824\"]\n  2 -> 30 [size =\"8397824\"]\n  2 -> 33 [size =\"8397824\"]\n  2 -> 35 [size =\"8397824\"]\n  2 -> 36 [size =\"8397824\"]\n  2 -> 38 [size =\"8397824\"]\n  3 [size=\"113674240\", alpha=\"0.16\", expect_size=\"34102272\"] \n  3 -> 28 [size =\"34102272\"]\n  3 -> 29 [size =\"34102272\"]\n  3 -> 30 [size =\"34102272\"]\n  3 -> 31 [size =\"34102272\"]\n  3 -> 33 [size =\"34102272\"]\n  3 -> 35 [size =\"34102272\"]\n  3 -> 36 [size =\"34102272\"]\n  3 -> 39 [size =\"34102272\"]\n  4 [size=\"153333760\", alpha=\"0.07\", expect_size=\"46000128\"] \n  4 -> 28 [size =\"46000128\"]\n  4 -> 29 [size =\"46000128\"]\n  4 -> 33 [size =\"46000128\"]\n  4 -> 35 [size =\"46000128\"]\n  4 -> 38 [size =\"46000128\"]\n  4 -> 39 [size =\"46000128\"]\n  4 -> 40 [size =\"46000128\"]\n  5 [size=\"166888107\", alpha=\"0.18\", expect_size=\"50066432\"] \n  5 -> 30 [size =\"50066432\"]\n  5 -> 31 [size =\"50066432\"]\n  5 -> 33 [size =\"50066432\"]\n  5 -> 35 [size =\"50066432\"]\n  5 -> 36 [size =\"50066432\"]\n  5 -> 38 [size =\"50066432\"]\n  5 -> 39 [size =\"50066432\"]\n  6 [size=\"92982613\", alpha=\"0.08\", expect_size=\"27894784\"] \n  6 -> 30 [size =\"27894784\"]\n  6 -> 33 [size =\"27894784\"]\n  6 -> 35 [size =\"27894784\"]\n  6 -> 35 [size =\"27894784\"]\n  6 -> 36 [size =\"27894784\"]\n  6 -> 38 [size =\"27894784\"]\n  6 -> 39 [size =\"27894784\"]\n  7 [size=\"154340693\", alpha=\"0.11\", expect_size=\"46302208\"] \n  7 -> 28 [size =\"46302208\"]\n  7 -> 29 [size =\"46302208\"]\n  7 -> 30 [size =\"46302208\"]\n  7 -> 32 [size =\"46302208\"]\n  7 -> 33 [size =\"46302208\"]\n  7 -> 35 [size =\"46302208\"]\n  7 -> 36 [size =\"46302208\"]\n  7 -> 38 [size =\"46302208\"]\n  7 -> 39 [size =\"46302208\"]\n  8 [size=\"135611733\", alpha=\"0.09\", expect_size=\"40683520\"] \n  8 -> 28 [size =\"40683520\"]\n  8 -> 30 [size =\"40683520\"]\n  8 -> 31 [size =\"40683520\"]\n  8 -> 32 [size =\"40683520\"]\n  8 -> 33 [size =\"40683520\"]\n  8 -> 35 [size =\"40683520\"]\n  8 -> 36 [size =\"40683520\"]\n  8 -> 38 [size =\"40683520\"]\n  8 -> 39 [size =\"40683520\"]\n  8 -> 40 [size =\"40683520\"]\n  9 [size=\"95918080\", alpha=\"0.00\", expect_size=\"28775424\"] \n  9 -> 29 [size =\"28775424\"]\n  9 -> 30 [size =\"28775424\"]\n  9 -> 36 [size =\"28775424\"]\n  9 -> 38 [size =\"28775424\"]\n  9 -> 39 [size =\"28775424\"]\n  9 -> 40 [size =\"28775424\"]\n  10 [size=\"51814400\", alpha=\"0.12\", expect_size=\"15544320\"] \n  10 -> 28 [size =\"15544320\"]\n  10 -> 30 [size =\"15544320\"]\n  10 -> 31 [size =\"15544320\"]\n  10 -> 32 [size =\"15544320\"]\n  10 -> 33 [size =\"15544320\"]\n  10 -> 35 [size =\"15544320\"]\n  10 -> 36 [size =\"15544320\"]\n  10 -> 39 [size =\"15544320\"]\n  10 -> 40 [size =\"15544320\"]\n  11 [size=\"23077547\", alpha=\"0.18\", expect_size=\"6923264\"] \n  11 -> 28 [size =\"6923264\"]\n  11 -> 30 [size =\"6923264\"]\n  11 -> 31 [size =\"6923264\"]\n  11 -> 33 [size =\"6923264\"]\n  11 -> 35 [size =\"6923264\"]\n  11 -> 36 [size =\"6923264\"]\n  11 -> 36 [size =\"6923264\"]\n  11 -> 38 [size =\"6923264\"]\n  11 -> 39 [size =\"6923264\"]\n  12 [size=\"114664107\", alpha=\"0.19\", expect_size=\"34399232\"] \n  12 -> 28 [size =\"34399232\"]\n  12 -> 30 [size =\"34399232\"]\n  12 -> 31 [size =\"34399232\"]\n  12 -> 33 [size =\"34399232\"]\n  12 -> 34 [size =\"34399232\"]\n  12 -> 35 [size =\"34399232\"]\n  12 -> 36 [size =\"34399232\"]\n  12 -> 39 [size =\"34399232\"]\n  13 [size=\"128180907\", alpha=\"0.01\", expect_size=\"38454272\"] \n  13 -> 28 [size =\"38454272\"]\n  13 -> 29 [size =\"38454272\"]\n  13 -> 30 [size =\"38454272\"]\n  13 -> 34 [size =\"38454272\"]\n  13 -> 34 [size =\"38454272\"]\n  13 -> 35 [size =\"38454272\"]\n  13 -> 36 [size =\"38454272\"]\n  13 -> 38 [size =\"38454272\"]\n  13 -> 39 [size =\"38454272\"]\n  13 -> 40 [size =\"38454272\"]\n  14 [size=\"95139840\", alpha=\"0.11\", expect_size=\"28541952\"] \n  14 -> 29 [size =\"28541952\"]\n  14 -> 30 [size =\"28541952\"]\n  14 -> 32 [size =\"28541952\"]\n  14 -> 33 [size =\"28541952\"]\n  14 -> 35 [size =\"28541952\"]\n  14 -> 35 [size =\"28541952\"]\n  14 -> 36 [size =\"28541952\"]\n  14 -> 38 [size =\"28541952\"]\n  15 [size=\"149087573\", alpha=\"0.08\", expect_size=\"44726272\"] \n  15 -> 30 [size =\"44726272\"]\n  15 -> 35 [size =\"44726272\"]\n  15 -> 38 [size =\"44726272\"]\n  15 -> 39 [size =\"44726272\"]\n  16 [size=\"133171200\", alpha=\"0.11\", expect_size=\"39951360\"] \n  16 -> 31 [size =\"39951360\"]\n  16 -> 35 [size =\"39951360\"]\n  16 -> 38 [size =\"39951360\"]\n  16 -> 40 [size =\"39951360\"]\n  17 [size=\"37765120\", alpha=\"0.10\", expect_size=\"11329536\"] \n  17 -> 29 [size =\"11329536\"]\n  17 -> 30 [size =\"11329536\"]\n  17 -> 31 [size =\"11329536\"]\n  17 -> 33 [size =\"11329536\"]\n  17 -> 36 [size =\"11329536\"]\n  17 -> 39 [size =\"11329536\"]\n  17 -> 40 [size =\"11329536\"]\n  18 [size=\"124306773\", alpha=\"0.20\", expect_size=\"37292032\"] \n  18 -> 29 [size =\"37292032\"]\n  18 -> 30 [size =\"37292032\"]\n  18 -> 31 [size =\"37292032\"]\n  19 [size=\"39034880\", alpha=\"0.16\", expect_size=\"11710464\"] \n  19 -> 28 [size =\"11710464\"]\n  19 -> 30 [size =\"11710464\"]\n  19 -> 32 [size =\"11710464\"]\n  19 -> 35 [size =\"11710464\"]\n  19 -> 36 [size =\"11710464\"]\n  19 -> 38 [size =\"11710464\"]\n  19 -> 40 [size =\"11710464\"]\n  20 [size=\"42431147\", alpha=\"0.01\", expect_size=\"12729344\"] \n  20 -> 30 [size =\"12729344\"]\n  20 -> 30 [size =\"12729344\"]\n  20 -> 31 [size =\"12729344\"]\n  20 -> 34 [size =\"12729344\"]\n  20 -> 38 [size =\"12729344\"]\n  20 -> 40 [size =\"12729344\"]\n  21 [size=\"139799893\", alpha=\"0.04\", expect_size=\"41939968\"] \n  21 -> 30 [size =\"41939968\"]\n  21 -> 31 [size =\"41939968\"]\n  21 -> 35 [size =\"41939968\"]\n  21 -> 38 [size =\"41939968\"]\n  21 -> 40 [size =\"41939968\"]\n  22 [size=\"127081813\", alpha=\"0.09\", expect_size=\"38124544\"] \n  22 -> 28 [size =\"38124544\"]\n  22 -> 30 [size =\"38124544\"]\n  22 -> 32 [size =\"38124544\"]\n  22 -> 35 [size =\"38124544\"]\n  22 -> 36 [size =\"38124544\"]\n  22 -> 38 [size =\"38124544\"]\n  22 -> 39 [size =\"38124544\"]\n  22 -> 40 [size =\"38124544\"]\n  23 [size=\"116456107\", alpha=\"0.06\", expect_size=\"34936832\"] \n  23 -> 28 [size =\"34936832\"]\n  23 -> 29 [size =\"34936832\"]\n  23 -> 30 [size =\"34936832\"]\n  23 -> 31 [size =\"34936832\"]\n  23 -> 33 [size =\"34936832\"]\n  23 -> 35 [size =\"34936832\"]\n  23 -> 36 [size =\"34936832\"]\n  23 -> 38 [size =\"34936832\"]\n  23 -> 39 [size =\"34936832\"]\n  24 [size=\"120613547\", alpha=\"0.01\", expect_size=\"36184064\"] \n  24 -> 28 [size =\"36184064\"]\n  24 -> 29 [size =\"36184064\"]\n  24 -> 30 [size =\"36184064\"]\n  24 -> 33 [size =\"36184064\"]\n  25 [size=\"50575360\", alpha=\"0.14\", expect_size=\"15172608\"] \n  25 -> 28 [size =\"15172608\"]\n  25 -> 29 [size =\"15172608\"]\n  25 -> 30 [size =\"15172608\"]\n  25 -> 31 [size =\"15172608\"]\n  25 -> 32 [size =\"15172608\"]\n  25 -> 39 [size =\"15172608\"]\n  26 [size=\"110564693\", alpha=\"0.17\", expect_size=\"33169408\"] \n  26 -> 28 [size =\"33169408\"]\n  26 -> 29 [size =\"33169408\"]\n  26 -> 32 [size =\"33169408\"]\n  26 -> 33 [size =\"33169408\"]\n  26 -> 35 [size =\"33169408\"]\n  26 -> 36 [size =\"33169408\"]\n  26 -> 37 [size =\"33169408\"]\n  27 [size=\"36819627\", alpha=\"0.18\", expect_size=\"11045888\"] \n  27 -> 28 [size =\"11045888\"]\n  27 -> 31 [size =\"11045888\"]\n  27 -> 32 [size =\"11045888\"]\n  27 -> 33 [size =\"11045888\"]\n  27 -> 35 [size =\"11045888\"]\n  27 -> 40 [size =\"11045888\"]\n  28 [size=\"114097493\", alpha=\"0.13\", expect_size=\"34229248\"] \n  29 [size=\"110749013\", alpha=\"0.19\", expect_size=\"33224704\"] \n  30 [size=\"76878507\", alpha=\"0.09\", expect_size=\"23063552\"] \n  31 [size=\"81363627\", alpha=\"0.19\", expect_size=\"24409088\"] \n  32 [size=\"114476373\", alpha=\"0.02\", expect_size=\"34342912\"] \n  33 [size=\"29446827\", alpha=\"0.19\", expect_size=\"8834048\"] \n  34 [size=\"79762773\", alpha=\"0.06\", expect_size=\"23928832\"] \n  35 [size=\"86708907\", alpha=\"0.10\", expect_size=\"26012672\"] \n  36 [size=\"42417493\", alpha=\"0.08\", expect_size=\"12725248\"] \n  37 [size=\"22391467\", alpha=\"0.09\", expect_size=\"6717440\"] \n  38 [size=\"163502080\", alpha=\"0.03\", expect_size=\"49050624\"] \n  39 [size=\"112025600\", alpha=\"0.01\", expect_size=\"33607680\"] \n  40 [size=\"103693653\", alpha=\"0.01\", expect_size=\"31108096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38062080\", alpha=\"0.16\", expect_size=\"15224832\"] \n  1 -> 8 [size =\"15224832\"]\n  2 [size=\"33697280\", alpha=\"0.19\", expect_size=\"13478912\"] \n  3 [size=\"121382400\", alpha=\"0.05\", expect_size=\"48552960\"] \n  3 -> 6 [size =\"48552960\"]\n  3 -> 10 [size =\"48552960\"]\n  4 [size=\"70986240\", alpha=\"0.04\", expect_size=\"28394496\"] \n  4 -> 6 [size =\"28394496\"]\n  4 -> 7 [size =\"28394496\"]\n  4 -> 9 [size =\"28394496\"]\n  5 [size=\"71362560\", alpha=\"0.19\", expect_size=\"28545024\"] \n  5 -> 8 [size =\"28545024\"]\n  6 [size=\"127377920\", alpha=\"0.18\", expect_size=\"50951168\"] \n  7 [size=\"59041280\", alpha=\"0.14\", expect_size=\"23616512\"] \n  7 -> 11 [size =\"23616512\"]\n  7 -> 13 [size =\"23616512\"]\n  7 -> 16 [size =\"23616512\"]\n  8 [size=\"49940480\", alpha=\"0.20\", expect_size=\"19976192\"] \n  8 -> 12 [size =\"19976192\"]\n  8 -> 13 [size =\"19976192\"]\n  8 -> 14 [size =\"19976192\"]\n  9 [size=\"66186240\", alpha=\"0.08\", expect_size=\"26474496\"] \n  10 [size=\"118517760\", alpha=\"0.03\", expect_size=\"47407104\"] \n  10 -> 11 [size =\"47407104\"]\n  10 -> 15 [size =\"47407104\"]\n  11 [size=\"20380160\", alpha=\"0.08\", expect_size=\"8152064\"] \n  11 -> 17 [size =\"8152064\"]\n  11 -> 18 [size =\"8152064\"]\n  11 -> 20 [size =\"8152064\"]\n  12 [size=\"114700800\", alpha=\"0.04\", expect_size=\"45880320\"] \n  12 -> 18 [size =\"45880320\"]\n  12 -> 21 [size =\"45880320\"]\n  13 [size=\"107100160\", alpha=\"0.09\", expect_size=\"42840064\"] \n  14 [size=\"18511360\", alpha=\"0.09\", expect_size=\"7404544\"] \n  14 -> 17 [size =\"7404544\"]\n  14 -> 19 [size =\"7404544\"]\n  15 [size=\"42296320\", alpha=\"0.00\", expect_size=\"16918528\"] \n  15 -> 19 [size =\"16918528\"]\n  16 [size=\"34915840\", alpha=\"0.19\", expect_size=\"13966336\"] \n  16 -> 19 [size =\"13966336\"]\n  16 -> 20 [size =\"13966336\"]\n  17 [size=\"22461440\", alpha=\"0.02\", expect_size=\"8984576\"] \n  17 -> 24 [size =\"8984576\"]\n  18 [size=\"102694400\", alpha=\"0.01\", expect_size=\"41077760\"] \n  18 -> 22 [size =\"41077760\"]\n  18 -> 23 [size =\"41077760\"]\n  18 -> 25 [size =\"41077760\"]\n  19 [size=\"101386240\", alpha=\"0.10\", expect_size=\"40554496\"] \n  19 -> 25 [size =\"40554496\"]\n  19 -> 26 [size =\"40554496\"]\n  20 [size=\"33259520\", alpha=\"0.20\", expect_size=\"13303808\"] \n  21 [size=\"50915840\", alpha=\"0.13\", expect_size=\"20366336\"] \n  21 -> 23 [size =\"20366336\"]\n  21 -> 25 [size =\"20366336\"]\n  22 [size=\"98452480\", alpha=\"0.11\", expect_size=\"39380992\"] \n  22 -> 28 [size =\"39380992\"]\n  22 -> 30 [size =\"39380992\"]\n  23 [size=\"124605440\", alpha=\"0.06\", expect_size=\"49842176\"] \n  24 [size=\"60057600\", alpha=\"0.11\", expect_size=\"24023040\"] \n  24 -> 30 [size =\"24023040\"]\n  25 [size=\"115624960\", alpha=\"0.07\", expect_size=\"46249984\"] \n  25 -> 28 [size =\"46249984\"]\n  25 -> 29 [size =\"46249984\"]\n  25 -> 31 [size =\"46249984\"]\n  26 [size=\"117742080\", alpha=\"0.01\", expect_size=\"47096832\"] \n  26 -> 27 [size =\"47096832\"]\n  26 -> 28 [size =\"47096832\"]\n  26 -> 29 [size =\"47096832\"]\n  26 -> 31 [size =\"47096832\"]\n  26 -> 32 [size =\"47096832\"]\n  27 [size=\"110453760\", alpha=\"0.04\", expect_size=\"44181504\"] \n  27 -> 36 [size =\"44181504\"]\n  28 [size=\"122647040\", alpha=\"0.12\", expect_size=\"49058816\"] \n  29 [size=\"127475200\", alpha=\"0.10\", expect_size=\"50990080\"] \n  29 -> 33 [size =\"50990080\"]\n  29 -> 38 [size =\"50990080\"]\n  30 [size=\"70144000\", alpha=\"0.05\", expect_size=\"28057600\"] \n  30 -> 35 [size =\"28057600\"]\n  30 -> 37 [size =\"28057600\"]\n  30 -> 38 [size =\"28057600\"]\n  31 [size=\"68526080\", alpha=\"0.02\", expect_size=\"27410432\"] \n  31 -> 35 [size =\"27410432\"]\n  31 -> 38 [size =\"27410432\"]\n  32 [size=\"29608960\", alpha=\"0.16\", expect_size=\"11843584\"] \n  32 -> 34 [size =\"11843584\"]\n  33 [size=\"91952640\", alpha=\"0.06\", expect_size=\"36781056\"] \n  34 [size=\"127902720\", alpha=\"0.17\", expect_size=\"51161088\"] \n  35 [size=\"77376000\", alpha=\"0.12\", expect_size=\"30950400\"] \n  36 [size=\"116587520\", alpha=\"0.12\", expect_size=\"46635008\"] \n  36 -> 39 [size =\"46635008\"]\n  37 [size=\"123883520\", alpha=\"0.13\", expect_size=\"49553408\"] \n  38 [size=\"27235840\", alpha=\"0.09\", expect_size=\"10894336\"] \n  38 -> 40 [size =\"10894336\"]\n  39 [size=\"99404800\", alpha=\"0.00\", expect_size=\"39761920\"] \n  40 [size=\"39580160\", alpha=\"0.15\", expect_size=\"15832064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88219648\", alpha=\"0.16\", expect_size=\"44109824\"] \n  1 -> 7 [size =\"44109824\"]\n  1 -> 8 [size =\"44109824\"]\n  1 -> 11 [size =\"44109824\"]\n  2 [size=\"57618432\", alpha=\"0.01\", expect_size=\"28809216\"] \n  2 -> 4 [size =\"28809216\"]\n  2 -> 5 [size =\"28809216\"]\n  2 -> 6 [size =\"28809216\"]\n  2 -> 7 [size =\"28809216\"]\n  2 -> 9 [size =\"28809216\"]\n  2 -> 11 [size =\"28809216\"]\n  3 [size=\"95610880\", alpha=\"0.12\", expect_size=\"47805440\"] \n  3 -> 4 [size =\"47805440\"]\n  3 -> 5 [size =\"47805440\"]\n  3 -> 6 [size =\"47805440\"]\n  3 -> 9 [size =\"47805440\"]\n  3 -> 10 [size =\"47805440\"]\n  4 [size=\"59547648\", alpha=\"0.00\", expect_size=\"29773824\"] \n  4 -> 13 [size =\"29773824\"]\n  4 -> 17 [size =\"29773824\"]\n  5 [size=\"23595008\", alpha=\"0.07\", expect_size=\"11797504\"] \n  5 -> 13 [size =\"11797504\"]\n  5 -> 17 [size =\"11797504\"]\n  6 [size=\"30375936\", alpha=\"0.17\", expect_size=\"15187968\"] \n  6 -> 12 [size =\"15187968\"]\n  6 -> 13 [size =\"15187968\"]\n  6 -> 14 [size =\"15187968\"]\n  7 [size=\"39563264\", alpha=\"0.07\", expect_size=\"19781632\"] \n  7 -> 15 [size =\"19781632\"]\n  8 [size=\"51845120\", alpha=\"0.08\", expect_size=\"25922560\"] \n  8 -> 16 [size =\"25922560\"]\n  9 [size=\"48332800\", alpha=\"0.09\", expect_size=\"24166400\"] \n  9 -> 12 [size =\"24166400\"]\n  9 -> 13 [size =\"24166400\"]\n  9 -> 17 [size =\"24166400\"]\n  10 [size=\"77625344\", alpha=\"0.18\", expect_size=\"38812672\"] \n  10 -> 13 [size =\"38812672\"]\n  10 -> 15 [size =\"38812672\"]\n  10 -> 17 [size =\"38812672\"]\n  11 [size=\"54659072\", alpha=\"0.17\", expect_size=\"27329536\"] \n  11 -> 17 [size =\"27329536\"]\n  12 [size=\"37367808\", alpha=\"0.19\", expect_size=\"18683904\"] \n  12 -> 19 [size =\"18683904\"]\n  12 -> 20 [size =\"18683904\"]\n  13 [size=\"40876032\", alpha=\"0.02\", expect_size=\"20438016\"] \n  14 [size=\"98459648\", alpha=\"0.00\", expect_size=\"49229824\"] \n  14 -> 19 [size =\"49229824\"]\n  15 [size=\"100648960\", alpha=\"0.14\", expect_size=\"50324480\"] \n  15 -> 20 [size =\"50324480\"]\n  16 [size=\"38451200\", alpha=\"0.01\", expect_size=\"19225600\"] \n  16 -> 18 [size =\"19225600\"]\n  16 -> 20 [size =\"19225600\"]\n  17 [size=\"24397824\", alpha=\"0.03\", expect_size=\"12198912\"] \n  17 -> 18 [size =\"12198912\"]\n  17 -> 19 [size =\"12198912\"]\n  18 [size=\"58707968\", alpha=\"0.16\", expect_size=\"29353984\"] \n  18 -> 23 [size =\"29353984\"]\n  19 [size=\"95467520\", alpha=\"0.03\", expect_size=\"47733760\"] \n  19 -> 21 [size =\"47733760\"]\n  19 -> 22 [size =\"47733760\"]\n  19 -> 23 [size =\"47733760\"]\n  19 -> 24 [size =\"47733760\"]\n  20 [size=\"44892160\", alpha=\"0.18\", expect_size=\"22446080\"] \n  20 -> 22 [size =\"22446080\"]\n  20 -> 24 [size =\"22446080\"]\n  21 [size=\"36810752\", alpha=\"0.09\", expect_size=\"18405376\"] \n  21 -> 27 [size =\"18405376\"]\n  21 -> 28 [size =\"18405376\"]\n  21 -> 29 [size =\"18405376\"]\n  22 [size=\"21571584\", alpha=\"0.11\", expect_size=\"10785792\"] \n  22 -> 26 [size =\"10785792\"]\n  22 -> 27 [size =\"10785792\"]\n  23 [size=\"17977344\", alpha=\"0.11\", expect_size=\"8988672\"] \n  23 -> 25 [size =\"8988672\"]\n  23 -> 27 [size =\"8988672\"]\n  23 -> 29 [size =\"8988672\"]\n  24 [size=\"28819456\", alpha=\"0.01\", expect_size=\"14409728\"] \n  24 -> 26 [size =\"14409728\"]\n  25 [size=\"30990336\", alpha=\"0.14\", expect_size=\"15495168\"] \n  26 [size=\"95412224\", alpha=\"0.11\", expect_size=\"47706112\"] \n  26 -> 30 [size =\"47706112\"]\n  26 -> 31 [size =\"47706112\"]\n  26 -> 33 [size =\"47706112\"]\n  27 [size=\"101773312\", alpha=\"0.14\", expect_size=\"50886656\"] \n  27 -> 32 [size =\"50886656\"]\n  27 -> 34 [size =\"50886656\"]\n  28 [size=\"19660800\", alpha=\"0.06\", expect_size=\"9830400\"] \n  28 -> 31 [size =\"9830400\"]\n  28 -> 32 [size =\"9830400\"]\n  29 [size=\"95819776\", alpha=\"0.06\", expect_size=\"47909888\"] \n  29 -> 30 [size =\"47909888\"]\n  29 -> 31 [size =\"47909888\"]\n  30 [size=\"13342720\", alpha=\"0.01\", expect_size=\"6671360\"] \n  30 -> 36 [size =\"6671360\"]\n  30 -> 39 [size =\"6671360\"]\n  31 [size=\"97058816\", alpha=\"0.04\", expect_size=\"48529408\"] \n  31 -> 36 [size =\"48529408\"]\n  31 -> 38 [size =\"48529408\"]\n  31 -> 39 [size =\"48529408\"]\n  32 [size=\"47214592\", alpha=\"0.14\", expect_size=\"23607296\"] \n  32 -> 37 [size =\"23607296\"]\n  33 [size=\"99688448\", alpha=\"0.09\", expect_size=\"49844224\"] \n  33 -> 38 [size =\"49844224\"]\n  33 -> 39 [size =\"49844224\"]\n  34 [size=\"56487936\", alpha=\"0.04\", expect_size=\"28243968\"] \n  34 -> 35 [size =\"28243968\"]\n  34 -> 38 [size =\"28243968\"]\n  34 -> 40 [size =\"28243968\"]\n  35 [size=\"61048832\", alpha=\"0.17\", expect_size=\"30524416\"] \n  36 [size=\"32110592\", alpha=\"0.17\", expect_size=\"16055296\"] \n  37 [size=\"83933184\", alpha=\"0.19\", expect_size=\"41966592\"] \n  38 [size=\"56852480\", alpha=\"0.12\", expect_size=\"28426240\"] \n  39 [size=\"86597632\", alpha=\"0.03\", expect_size=\"43298816\"] \n  40 [size=\"22274048\", alpha=\"0.01\", expect_size=\"11137024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101207040\", alpha=\"0.04\", expect_size=\"40482816\"] \n  1 -> 21 [size =\"40482816\"]\n  1 -> 26 [size =\"40482816\"]\n  1 -> 27 [size =\"40482816\"]\n  1 -> 30 [size =\"40482816\"]\n  1 -> 31 [size =\"40482816\"]\n  1 -> 35 [size =\"40482816\"]\n  1 -> 36 [size =\"40482816\"]\n  1 -> 37 [size =\"40482816\"]\n  1 -> 40 [size =\"40482816\"]\n  2 [size=\"58316800\", alpha=\"0.07\", expect_size=\"23326720\"] \n  2 -> 21 [size =\"23326720\"]\n  2 -> 25 [size =\"23326720\"]\n  2 -> 26 [size =\"23326720\"]\n  2 -> 29 [size =\"23326720\"]\n  2 -> 30 [size =\"23326720\"]\n  2 -> 32 [size =\"23326720\"]\n  2 -> 37 [size =\"23326720\"]\n  3 [size=\"123328000\", alpha=\"0.07\", expect_size=\"49331200\"] \n  3 -> 21 [size =\"49331200\"]\n  3 -> 24 [size =\"49331200\"]\n  3 -> 25 [size =\"49331200\"]\n  3 -> 26 [size =\"49331200\"]\n  3 -> 29 [size =\"49331200\"]\n  3 -> 31 [size =\"49331200\"]\n  3 -> 32 [size =\"49331200\"]\n  3 -> 37 [size =\"49331200\"]\n  4 [size=\"51210240\", alpha=\"0.03\", expect_size=\"20484096\"] \n  4 -> 21 [size =\"20484096\"]\n  4 -> 26 [size =\"20484096\"]\n  4 -> 28 [size =\"20484096\"]\n  4 -> 32 [size =\"20484096\"]\n  5 [size=\"58536960\", alpha=\"0.19\", expect_size=\"23414784\"] \n  5 -> 22 [size =\"23414784\"]\n  5 -> 23 [size =\"23414784\"]\n  5 -> 25 [size =\"23414784\"]\n  5 -> 26 [size =\"23414784\"]\n  5 -> 31 [size =\"23414784\"]\n  5 -> 32 [size =\"23414784\"]\n  6 [size=\"77806080\", alpha=\"0.17\", expect_size=\"31122432\"] \n  6 -> 22 [size =\"31122432\"]\n  6 -> 23 [size =\"31122432\"]\n  6 -> 26 [size =\"31122432\"]\n  6 -> 27 [size =\"31122432\"]\n  6 -> 31 [size =\"31122432\"]\n  6 -> 32 [size =\"31122432\"]\n  6 -> 33 [size =\"31122432\"]\n  6 -> 38 [size =\"31122432\"]\n  7 [size=\"105574400\", alpha=\"0.05\", expect_size=\"42229760\"] \n  7 -> 21 [size =\"42229760\"]\n  7 -> 22 [size =\"42229760\"]\n  7 -> 30 [size =\"42229760\"]\n  7 -> 32 [size =\"42229760\"]\n  7 -> 33 [size =\"42229760\"]\n  7 -> 35 [size =\"42229760\"]\n  8 [size=\"125580800\", alpha=\"0.06\", expect_size=\"50232320\"] \n  8 -> 22 [size =\"50232320\"]\n  8 -> 24 [size =\"50232320\"]\n  8 -> 29 [size =\"50232320\"]\n  8 -> 31 [size =\"50232320\"]\n  8 -> 32 [size =\"50232320\"]\n  8 -> 35 [size =\"50232320\"]\n  9 [size=\"99023360\", alpha=\"0.01\", expect_size=\"39609344\"] \n  9 -> 24 [size =\"39609344\"]\n  9 -> 29 [size =\"39609344\"]\n  9 -> 31 [size =\"39609344\"]\n  9 -> 35 [size =\"39609344\"]\n  10 [size=\"79974400\", alpha=\"0.06\", expect_size=\"31989760\"] \n  10 -> 23 [size =\"31989760\"]\n  10 -> 24 [size =\"31989760\"]\n  10 -> 27 [size =\"31989760\"]\n  10 -> 30 [size =\"31989760\"]\n  11 [size=\"114088960\", alpha=\"0.10\", expect_size=\"45635584\"] \n  11 -> 25 [size =\"45635584\"]\n  11 -> 34 [size =\"45635584\"]\n  11 -> 37 [size =\"45635584\"]\n  12 [size=\"17198080\", alpha=\"0.03\", expect_size=\"6879232\"] \n  12 -> 23 [size =\"6879232\"]\n  12 -> 30 [size =\"6879232\"]\n  12 -> 33 [size =\"6879232\"]\n  12 -> 37 [size =\"6879232\"]\n  12 -> 38 [size =\"6879232\"]\n  13 [size=\"58112000\", alpha=\"0.05\", expect_size=\"23244800\"] \n  13 -> 21 [size =\"23244800\"]\n  13 -> 23 [size =\"23244800\"]\n  13 -> 25 [size =\"23244800\"]\n  13 -> 30 [size =\"23244800\"]\n  13 -> 37 [size =\"23244800\"]\n  13 -> 38 [size =\"23244800\"]\n  14 [size=\"97722880\", alpha=\"0.14\", expect_size=\"39089152\"] \n  14 -> 24 [size =\"39089152\"]\n  14 -> 30 [size =\"39089152\"]\n  14 -> 37 [size =\"39089152\"]\n  14 -> 38 [size =\"39089152\"]\n  15 [size=\"114316800\", alpha=\"0.15\", expect_size=\"45726720\"] \n  15 -> 25 [size =\"45726720\"]\n  15 -> 29 [size =\"45726720\"]\n  15 -> 31 [size =\"45726720\"]\n  15 -> 33 [size =\"45726720\"]\n  15 -> 37 [size =\"45726720\"]\n  16 [size=\"111150080\", alpha=\"0.11\", expect_size=\"44460032\"] \n  16 -> 29 [size =\"44460032\"]\n  16 -> 37 [size =\"44460032\"]\n  16 -> 38 [size =\"44460032\"]\n  16 -> 40 [size =\"44460032\"]\n  17 [size=\"93027840\", alpha=\"0.06\", expect_size=\"37211136\"] \n  17 -> 23 [size =\"37211136\"]\n  17 -> 26 [size =\"37211136\"]\n  17 -> 31 [size =\"37211136\"]\n  18 [size=\"122014720\", alpha=\"0.13\", expect_size=\"48805888\"] \n  18 -> 22 [size =\"48805888\"]\n  18 -> 23 [size =\"48805888\"]\n  18 -> 25 [size =\"48805888\"]\n  18 -> 29 [size =\"48805888\"]\n  18 -> 30 [size =\"48805888\"]\n  18 -> 31 [size =\"48805888\"]\n  18 -> 35 [size =\"48805888\"]\n  18 -> 39 [size =\"48805888\"]\n  19 [size=\"40424960\", alpha=\"0.02\", expect_size=\"16169984\"] \n  19 -> 24 [size =\"16169984\"]\n  19 -> 26 [size =\"16169984\"]\n  19 -> 29 [size =\"16169984\"]\n  19 -> 30 [size =\"16169984\"]\n  19 -> 35 [size =\"16169984\"]\n  19 -> 38 [size =\"16169984\"]\n  20 [size=\"45931520\", alpha=\"0.10\", expect_size=\"18372608\"] \n  20 -> 25 [size =\"18372608\"]\n  20 -> 26 [size =\"18372608\"]\n  20 -> 31 [size =\"18372608\"]\n  20 -> 35 [size =\"18372608\"]\n  20 -> 35 [size =\"18372608\"]\n  21 [size=\"79966720\", alpha=\"0.13\", expect_size=\"31986688\"] \n  22 [size=\"21248000\", alpha=\"0.04\", expect_size=\"8499200\"] \n  23 [size=\"41684480\", alpha=\"0.13\", expect_size=\"16673792\"] \n  24 [size=\"72965120\", alpha=\"0.09\", expect_size=\"29186048\"] \n  25 [size=\"36308480\", alpha=\"0.13\", expect_size=\"14523392\"] \n  26 [size=\"125877760\", alpha=\"0.07\", expect_size=\"50351104\"] \n  27 [size=\"72949760\", alpha=\"0.18\", expect_size=\"29179904\"] \n  28 [size=\"110302720\", alpha=\"0.07\", expect_size=\"44121088\"] \n  29 [size=\"69888000\", alpha=\"0.11\", expect_size=\"27955200\"] \n  30 [size=\"82557440\", alpha=\"0.06\", expect_size=\"33022976\"] \n  31 [size=\"25067520\", alpha=\"0.18\", expect_size=\"10027008\"] \n  32 [size=\"103480320\", alpha=\"0.11\", expect_size=\"41392128\"] \n  33 [size=\"127080960\", alpha=\"0.12\", expect_size=\"50832384\"] \n  34 [size=\"88125440\", alpha=\"0.07\", expect_size=\"35250176\"] \n  35 [size=\"24716800\", alpha=\"0.19\", expect_size=\"9886720\"] \n  36 [size=\"100254720\", alpha=\"0.08\", expect_size=\"40101888\"] \n  37 [size=\"25546240\", alpha=\"0.10\", expect_size=\"10218496\"] \n  38 [size=\"128985600\", alpha=\"0.11\", expect_size=\"51594240\"] \n  39 [size=\"51194880\", alpha=\"0.16\", expect_size=\"20477952\"] \n  40 [size=\"114014720\", alpha=\"0.07\", expect_size=\"45605888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43569152\", alpha=\"0.04\", expect_size=\"21784576\"] \n  1 -> 4 [size =\"21784576\"]\n  1 -> 5 [size =\"21784576\"]\n  2 [size=\"75333632\", alpha=\"0.08\", expect_size=\"37666816\"] \n  2 -> 6 [size =\"37666816\"]\n  3 [size=\"73895936\", alpha=\"0.06\", expect_size=\"36947968\"] \n  3 -> 4 [size =\"36947968\"]\n  4 [size=\"85196800\", alpha=\"0.17\", expect_size=\"42598400\"] \n  5 [size=\"82331648\", alpha=\"0.03\", expect_size=\"41165824\"] \n  6 [size=\"78972928\", alpha=\"0.01\", expect_size=\"39486464\"] \n  6 -> 7 [size =\"39486464\"]\n  6 -> 8 [size =\"39486464\"]\n  6 -> 9 [size =\"39486464\"]\n  7 [size=\"65832960\", alpha=\"0.17\", expect_size=\"32916480\"] \n  8 [size=\"56506368\", alpha=\"0.18\", expect_size=\"28253184\"] \n  8 -> 10 [size =\"28253184\"]\n  9 [size=\"34885632\", alpha=\"0.01\", expect_size=\"17442816\"] \n  9 -> 11 [size =\"17442816\"]\n  9 -> 12 [size =\"17442816\"]\n  10 [size=\"57360384\", alpha=\"0.09\", expect_size=\"28680192\"] \n  11 [size=\"57626624\", alpha=\"0.01\", expect_size=\"28813312\"] \n  11 -> 13 [size =\"28813312\"]\n  11 -> 14 [size =\"28813312\"]\n  11 -> 15 [size =\"28813312\"]\n  12 [size=\"75986944\", alpha=\"0.10\", expect_size=\"37993472\"] \n  13 [size=\"18688000\", alpha=\"0.04\", expect_size=\"9344000\"] \n  13 -> 16 [size =\"9344000\"]\n  13 -> 18 [size =\"9344000\"]\n  14 [size=\"49127424\", alpha=\"0.17\", expect_size=\"24563712\"] \n  14 -> 17 [size =\"24563712\"]\n  14 -> 18 [size =\"24563712\"]\n  15 [size=\"36638720\", alpha=\"0.12\", expect_size=\"18319360\"] \n  16 [size=\"52566016\", alpha=\"0.19\", expect_size=\"26283008\"] \n  16 -> 19 [size =\"26283008\"]\n  16 -> 21 [size =\"26283008\"]\n  17 [size=\"55074816\", alpha=\"0.17\", expect_size=\"27537408\"] \n  17 -> 20 [size =\"27537408\"]\n  18 [size=\"41691136\", alpha=\"0.03\", expect_size=\"20845568\"] \n  18 -> 21 [size =\"20845568\"]\n  19 [size=\"33339392\", alpha=\"0.18\", expect_size=\"16669696\"] \n  19 -> 22 [size =\"16669696\"]\n  20 [size=\"39737344\", alpha=\"0.07\", expect_size=\"19868672\"] \n  21 [size=\"81965056\", alpha=\"0.03\", expect_size=\"40982528\"] \n  21 -> 22 [size =\"40982528\"]\n  21 -> 23 [size =\"40982528\"]\n  22 [size=\"85553152\", alpha=\"0.13\", expect_size=\"42776576\"] \n  22 -> 24 [size =\"42776576\"]\n  23 [size=\"36745216\", alpha=\"0.17\", expect_size=\"18372608\"] \n  23 -> 25 [size =\"18372608\"]\n  24 [size=\"55420928\", alpha=\"0.16\", expect_size=\"27710464\"] \n  24 -> 27 [size =\"27710464\"]\n  25 [size=\"43057152\", alpha=\"0.10\", expect_size=\"21528576\"] \n  25 -> 26 [size =\"21528576\"]\n  25 -> 28 [size =\"21528576\"]\n  26 [size=\"98871296\", alpha=\"0.19\", expect_size=\"49435648\"] \n  27 [size=\"92712960\", alpha=\"0.00\", expect_size=\"46356480\"] \n  28 [size=\"76816384\", alpha=\"0.11\", expect_size=\"38408192\"] \n  28 -> 29 [size =\"38408192\"]\n  28 -> 30 [size =\"38408192\"]\n  29 [size=\"93173760\", alpha=\"0.06\", expect_size=\"46586880\"] \n  29 -> 32 [size =\"46586880\"]\n  30 [size=\"81815552\", alpha=\"0.12\", expect_size=\"40907776\"] \n  30 -> 31 [size =\"40907776\"]\n  31 [size=\"19714048\", alpha=\"0.07\", expect_size=\"9857024\"] \n  32 [size=\"34324480\", alpha=\"0.17\", expect_size=\"17162240\"] \n  32 -> 33 [size =\"17162240\"]\n  32 -> 34 [size =\"17162240\"]\n  33 [size=\"96124928\", alpha=\"0.08\", expect_size=\"48062464\"] \n  33 -> 37 [size =\"48062464\"]\n  34 [size=\"79781888\", alpha=\"0.08\", expect_size=\"39890944\"] \n  34 -> 35 [size =\"39890944\"]\n  34 -> 36 [size =\"39890944\"]\n  35 [size=\"60008448\", alpha=\"0.12\", expect_size=\"30004224\"] \n  36 [size=\"14278656\", alpha=\"0.06\", expect_size=\"7139328\"] \n  36 -> 38 [size =\"7139328\"]\n  36 -> 39 [size =\"7139328\"]\n  37 [size=\"11079680\", alpha=\"0.10\", expect_size=\"5539840\"] \n  38 [size=\"11390976\", alpha=\"0.20\", expect_size=\"5695488\"] \n  39 [size=\"61231104\", alpha=\"0.14\", expect_size=\"30615552\"] \n  39 -> 40 [size =\"30615552\"]\n  40 [size=\"90632192\", alpha=\"0.15\", expect_size=\"45316096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127259307\", alpha=\"0.11\", expect_size=\"38177792\"] \n  1 -> 5 [size =\"38177792\"]\n  2 [size=\"94839467\", alpha=\"0.09\", expect_size=\"28451840\"] \n  2 -> 4 [size =\"28451840\"]\n  2 -> 5 [size =\"28451840\"]\n  3 [size=\"104721067\", alpha=\"0.15\", expect_size=\"31416320\"] \n  3 -> 4 [size =\"31416320\"]\n  4 [size=\"131143680\", alpha=\"0.14\", expect_size=\"39343104\"] \n  4 -> 6 [size =\"39343104\"]\n  4 -> 7 [size =\"39343104\"]\n  5 [size=\"82428587\", alpha=\"0.17\", expect_size=\"24728576\"] \n  6 [size=\"31160320\", alpha=\"0.06\", expect_size=\"9348096\"] \n  6 -> 8 [size =\"9348096\"]\n  6 -> 9 [size =\"9348096\"]\n  7 [size=\"29955413\", alpha=\"0.01\", expect_size=\"8986624\"] \n  7 -> 10 [size =\"8986624\"]\n  8 [size=\"47691093\", alpha=\"0.05\", expect_size=\"14307328\"] \n  8 -> 11 [size =\"14307328\"]\n  8 -> 12 [size =\"14307328\"]\n  9 [size=\"36297387\", alpha=\"0.04\", expect_size=\"10889216\"] \n  9 -> 13 [size =\"10889216\"]\n  10 [size=\"118941013\", alpha=\"0.11\", expect_size=\"35682304\"] \n  10 -> 11 [size =\"35682304\"]\n  10 -> 12 [size =\"35682304\"]\n  11 [size=\"25142613\", alpha=\"0.03\", expect_size=\"7542784\"] \n  11 -> 15 [size =\"7542784\"]\n  11 -> 16 [size =\"7542784\"]\n  12 [size=\"113039360\", alpha=\"0.04\", expect_size=\"33911808\"] \n  13 [size=\"30426453\", alpha=\"0.13\", expect_size=\"9127936\"] \n  13 -> 14 [size =\"9127936\"]\n  13 -> 16 [size =\"9127936\"]\n  14 [size=\"148391253\", alpha=\"0.04\", expect_size=\"44517376\"] \n  14 -> 18 [size =\"44517376\"]\n  15 [size=\"104461653\", alpha=\"0.10\", expect_size=\"31338496\"] \n  15 -> 17 [size =\"31338496\"]\n  15 -> 18 [size =\"31338496\"]\n  16 [size=\"81735680\", alpha=\"0.05\", expect_size=\"24520704\"] \n  17 [size=\"130471253\", alpha=\"0.19\", expect_size=\"39141376\"] \n  17 -> 19 [size =\"39141376\"]\n  17 -> 20 [size =\"39141376\"]\n  18 [size=\"141926400\", alpha=\"0.12\", expect_size=\"42577920\"] \n  19 [size=\"20032853\", alpha=\"0.14\", expect_size=\"6009856\"] \n  19 -> 21 [size =\"6009856\"]\n  19 -> 22 [size =\"6009856\"]\n  20 [size=\"50070187\", alpha=\"0.12\", expect_size=\"15021056\"] \n  20 -> 21 [size =\"15021056\"]\n  21 [size=\"134574080\", alpha=\"0.04\", expect_size=\"40372224\"] \n  21 -> 23 [size =\"40372224\"]\n  22 [size=\"156101973\", alpha=\"0.06\", expect_size=\"46830592\"] \n  22 -> 24 [size =\"46830592\"]\n  22 -> 25 [size =\"46830592\"]\n  23 [size=\"30839467\", alpha=\"0.19\", expect_size=\"9251840\"] \n  24 [size=\"130590720\", alpha=\"0.07\", expect_size=\"39177216\"] \n  24 -> 26 [size =\"39177216\"]\n  24 -> 27 [size =\"39177216\"]\n  25 [size=\"161024000\", alpha=\"0.03\", expect_size=\"48307200\"] \n  26 [size=\"83442347\", alpha=\"0.00\", expect_size=\"25032704\"] \n  26 -> 28 [size =\"25032704\"]\n  26 -> 29 [size =\"25032704\"]\n  26 -> 30 [size =\"25032704\"]\n  27 [size=\"124433067\", alpha=\"0.20\", expect_size=\"37329920\"] \n  27 -> 29 [size =\"37329920\"]\n  28 [size=\"113148587\", alpha=\"0.03\", expect_size=\"33944576\"] \n  28 -> 33 [size =\"33944576\"]\n  29 [size=\"53657600\", alpha=\"0.08\", expect_size=\"16097280\"] \n  29 -> 31 [size =\"16097280\"]\n  30 [size=\"161832960\", alpha=\"0.06\", expect_size=\"48549888\"] \n  30 -> 31 [size =\"48549888\"]\n  30 -> 32 [size =\"48549888\"]\n  31 [size=\"98938880\", alpha=\"0.06\", expect_size=\"29681664\"] \n  31 -> 34 [size =\"29681664\"]\n  31 -> 36 [size =\"29681664\"]\n  32 [size=\"132051627\", alpha=\"0.17\", expect_size=\"39615488\"] \n  32 -> 35 [size =\"39615488\"]\n  33 [size=\"23965013\", alpha=\"0.10\", expect_size=\"7189504\"] \n  34 [size=\"19206827\", alpha=\"0.20\", expect_size=\"5762048\"] \n  34 -> 37 [size =\"5762048\"]\n  34 -> 38 [size =\"5762048\"]\n  35 [size=\"74161493\", alpha=\"0.01\", expect_size=\"22248448\"] \n  36 [size=\"96498347\", alpha=\"0.10\", expect_size=\"28949504\"] \n  36 -> 37 [size =\"28949504\"]\n  37 [size=\"99898027\", alpha=\"0.13\", expect_size=\"29969408\"] \n  37 -> 39 [size =\"29969408\"]\n  38 [size=\"96853333\", alpha=\"0.12\", expect_size=\"29056000\"] \n  38 -> 39 [size =\"29056000\"]\n  38 -> 40 [size =\"29056000\"]\n  39 [size=\"117572267\", alpha=\"0.12\", expect_size=\"35271680\"] \n  40 [size=\"23592960\", alpha=\"0.15\", expect_size=\"7077888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14210560\", alpha=\"0.04\", expect_size=\"5684224\"] \n  1 -> 29 [size =\"5684224\"]\n  1 -> 31 [size =\"5684224\"]\n  1 -> 32 [size =\"5684224\"]\n  1 -> 34 [size =\"5684224\"]\n  1 -> 35 [size =\"5684224\"]\n  1 -> 39 [size =\"5684224\"]\n  1 -> 40 [size =\"5684224\"]\n  2 [size=\"117532160\", alpha=\"0.02\", expect_size=\"47012864\"] \n  2 -> 32 [size =\"47012864\"]\n  2 -> 34 [size =\"47012864\"]\n  2 -> 35 [size =\"47012864\"]\n  2 -> 39 [size =\"47012864\"]\n  3 [size=\"81164800\", alpha=\"0.02\", expect_size=\"32465920\"] \n  3 -> 32 [size =\"32465920\"]\n  3 -> 34 [size =\"32465920\"]\n  3 -> 35 [size =\"32465920\"]\n  3 -> 39 [size =\"32465920\"]\n  4 [size=\"76892160\", alpha=\"0.15\", expect_size=\"30756864\"] \n  4 -> 29 [size =\"30756864\"]\n  4 -> 30 [size =\"30756864\"]\n  4 -> 32 [size =\"30756864\"]\n  4 -> 33 [size =\"30756864\"]\n  4 -> 34 [size =\"30756864\"]\n  4 -> 35 [size =\"30756864\"]\n  4 -> 39 [size =\"30756864\"]\n  5 [size=\"95329280\", alpha=\"0.18\", expect_size=\"38131712\"] \n  5 -> 29 [size =\"38131712\"]\n  5 -> 32 [size =\"38131712\"]\n  5 -> 32 [size =\"38131712\"]\n  5 -> 33 [size =\"38131712\"]\n  5 -> 35 [size =\"38131712\"]\n  5 -> 35 [size =\"38131712\"]\n  5 -> 39 [size =\"38131712\"]\n  6 [size=\"122862080\", alpha=\"0.02\", expect_size=\"49144832\"] \n  6 -> 28 [size =\"49144832\"]\n  6 -> 30 [size =\"49144832\"]\n  6 -> 32 [size =\"49144832\"]\n  6 -> 35 [size =\"49144832\"]\n  6 -> 35 [size =\"49144832\"]\n  6 -> 37 [size =\"49144832\"]\n  6 -> 38 [size =\"49144832\"]\n  6 -> 39 [size =\"49144832\"]\n  7 [size=\"45690880\", alpha=\"0.17\", expect_size=\"18276352\"] \n  7 -> 31 [size =\"18276352\"]\n  7 -> 32 [size =\"18276352\"]\n  7 -> 32 [size =\"18276352\"]\n  7 -> 34 [size =\"18276352\"]\n  7 -> 35 [size =\"18276352\"]\n  7 -> 36 [size =\"18276352\"]\n  7 -> 39 [size =\"18276352\"]\n  7 -> 39 [size =\"18276352\"]\n  8 [size=\"40803840\", alpha=\"0.09\", expect_size=\"16321536\"] \n  8 -> 29 [size =\"16321536\"]\n  8 -> 31 [size =\"16321536\"]\n  8 -> 32 [size =\"16321536\"]\n  8 -> 35 [size =\"16321536\"]\n  8 -> 37 [size =\"16321536\"]\n  8 -> 39 [size =\"16321536\"]\n  8 -> 39 [size =\"16321536\"]\n  9 [size=\"82045440\", alpha=\"0.11\", expect_size=\"32818176\"] \n  9 -> 31 [size =\"32818176\"]\n  9 -> 32 [size =\"32818176\"]\n  9 -> 32 [size =\"32818176\"]\n  9 -> 33 [size =\"32818176\"]\n  9 -> 34 [size =\"32818176\"]\n  9 -> 39 [size =\"32818176\"]\n  10 [size=\"121697280\", alpha=\"0.02\", expect_size=\"48678912\"] \n  10 -> 29 [size =\"48678912\"]\n  10 -> 30 [size =\"48678912\"]\n  10 -> 31 [size =\"48678912\"]\n  10 -> 32 [size =\"48678912\"]\n  10 -> 33 [size =\"48678912\"]\n  10 -> 34 [size =\"48678912\"]\n  10 -> 35 [size =\"48678912\"]\n  10 -> 39 [size =\"48678912\"]\n  11 [size=\"67717120\", alpha=\"0.04\", expect_size=\"27086848\"] \n  11 -> 28 [size =\"27086848\"]\n  11 -> 29 [size =\"27086848\"]\n  11 -> 30 [size =\"27086848\"]\n  11 -> 31 [size =\"27086848\"]\n  11 -> 33 [size =\"27086848\"]\n  11 -> 35 [size =\"27086848\"]\n  11 -> 37 [size =\"27086848\"]\n  11 -> 39 [size =\"27086848\"]\n  12 [size=\"88637440\", alpha=\"0.03\", expect_size=\"35454976\"] \n  12 -> 29 [size =\"35454976\"]\n  12 -> 30 [size =\"35454976\"]\n  12 -> 31 [size =\"35454976\"]\n  12 -> 35 [size =\"35454976\"]\n  12 -> 37 [size =\"35454976\"]\n  12 -> 39 [size =\"35454976\"]\n  12 -> 40 [size =\"35454976\"]\n  13 [size=\"102138880\", alpha=\"0.08\", expect_size=\"40855552\"] \n  13 -> 29 [size =\"40855552\"]\n  13 -> 31 [size =\"40855552\"]\n  13 -> 34 [size =\"40855552\"]\n  13 -> 37 [size =\"40855552\"]\n  13 -> 37 [size =\"40855552\"]\n  13 -> 39 [size =\"40855552\"]\n  14 [size=\"115522560\", alpha=\"0.04\", expect_size=\"46209024\"] \n  14 -> 29 [size =\"46209024\"]\n  14 -> 33 [size =\"46209024\"]\n  14 -> 37 [size =\"46209024\"]\n  14 -> 38 [size =\"46209024\"]\n  14 -> 40 [size =\"46209024\"]\n  15 [size=\"85931520\", alpha=\"0.04\", expect_size=\"34372608\"] \n  15 -> 29 [size =\"34372608\"]\n  15 -> 31 [size =\"34372608\"]\n  15 -> 33 [size =\"34372608\"]\n  15 -> 37 [size =\"34372608\"]\n  16 [size=\"76994560\", alpha=\"0.07\", expect_size=\"30797824\"] \n  16 -> 29 [size =\"30797824\"]\n  16 -> 31 [size =\"30797824\"]\n  16 -> 33 [size =\"30797824\"]\n  16 -> 36 [size =\"30797824\"]\n  16 -> 39 [size =\"30797824\"]\n  17 [size=\"86402560\", alpha=\"0.04\", expect_size=\"34561024\"] \n  17 -> 29 [size =\"34561024\"]\n  17 -> 31 [size =\"34561024\"]\n  17 -> 33 [size =\"34561024\"]\n  17 -> 34 [size =\"34561024\"]\n  17 -> 40 [size =\"34561024\"]\n  18 [size=\"66147840\", alpha=\"0.01\", expect_size=\"26459136\"] \n  18 -> 28 [size =\"26459136\"]\n  18 -> 29 [size =\"26459136\"]\n  18 -> 31 [size =\"26459136\"]\n  18 -> 32 [size =\"26459136\"]\n  18 -> 34 [size =\"26459136\"]\n  18 -> 35 [size =\"26459136\"]\n  18 -> 37 [size =\"26459136\"]\n  18 -> 39 [size =\"26459136\"]\n  19 [size=\"118768640\", alpha=\"0.18\", expect_size=\"47507456\"] \n  19 -> 31 [size =\"47507456\"]\n  19 -> 32 [size =\"47507456\"]\n  19 -> 33 [size =\"47507456\"]\n  19 -> 34 [size =\"47507456\"]\n  19 -> 35 [size =\"47507456\"]\n  20 [size=\"67975680\", alpha=\"0.11\", expect_size=\"27190272\"] \n  20 -> 31 [size =\"27190272\"]\n  20 -> 32 [size =\"27190272\"]\n  20 -> 34 [size =\"27190272\"]\n  20 -> 35 [size =\"27190272\"]\n  20 -> 35 [size =\"27190272\"]\n  20 -> 36 [size =\"27190272\"]\n  20 -> 37 [size =\"27190272\"]\n  20 -> 38 [size =\"27190272\"]\n  21 [size=\"81525760\", alpha=\"0.04\", expect_size=\"32610304\"] \n  21 -> 29 [size =\"32610304\"]\n  21 -> 31 [size =\"32610304\"]\n  21 -> 34 [size =\"32610304\"]\n  21 -> 35 [size =\"32610304\"]\n  21 -> 37 [size =\"32610304\"]\n  22 [size=\"106557440\", alpha=\"0.15\", expect_size=\"42622976\"] \n  22 -> 34 [size =\"42622976\"]\n  22 -> 35 [size =\"42622976\"]\n  22 -> 37 [size =\"42622976\"]\n  22 -> 38 [size =\"42622976\"]\n  22 -> 39 [size =\"42622976\"]\n  22 -> 40 [size =\"42622976\"]\n  23 [size=\"124070400\", alpha=\"0.17\", expect_size=\"49628160\"] \n  23 -> 32 [size =\"49628160\"]\n  23 -> 34 [size =\"49628160\"]\n  23 -> 38 [size =\"49628160\"]\n  23 -> 39 [size =\"49628160\"]\n  24 [size=\"51829760\", alpha=\"0.10\", expect_size=\"20731904\"] \n  24 -> 29 [size =\"20731904\"]\n  24 -> 30 [size =\"20731904\"]\n  24 -> 32 [size =\"20731904\"]\n  24 -> 33 [size =\"20731904\"]\n  24 -> 34 [size =\"20731904\"]\n  24 -> 35 [size =\"20731904\"]\n  24 -> 37 [size =\"20731904\"]\n  24 -> 38 [size =\"20731904\"]\n  24 -> 39 [size =\"20731904\"]\n  25 [size=\"75837440\", alpha=\"0.17\", expect_size=\"30334976\"] \n  25 -> 28 [size =\"30334976\"]\n  25 -> 30 [size =\"30334976\"]\n  25 -> 32 [size =\"30334976\"]\n  25 -> 34 [size =\"30334976\"]\n  25 -> 34 [size =\"30334976\"]\n  25 -> 35 [size =\"30334976\"]\n  25 -> 39 [size =\"30334976\"]\n  26 [size=\"97528320\", alpha=\"0.02\", expect_size=\"39011328\"] \n  26 -> 28 [size =\"39011328\"]\n  26 -> 32 [size =\"39011328\"]\n  26 -> 33 [size =\"39011328\"]\n  26 -> 34 [size =\"39011328\"]\n  26 -> 35 [size =\"39011328\"]\n  26 -> 37 [size =\"39011328\"]\n  26 -> 39 [size =\"39011328\"]\n  27 [size=\"19371520\", alpha=\"0.13\", expect_size=\"7748608\"] \n  27 -> 30 [size =\"7748608\"]\n  27 -> 37 [size =\"7748608\"]\n  27 -> 39 [size =\"7748608\"]\n  28 [size=\"44198400\", alpha=\"0.09\", expect_size=\"17679360\"] \n  29 [size=\"50255360\", alpha=\"0.16\", expect_size=\"20102144\"] \n  30 [size=\"41359360\", alpha=\"0.02\", expect_size=\"16543744\"] \n  31 [size=\"107496960\", alpha=\"0.17\", expect_size=\"42998784\"] \n  32 [size=\"13841920\", alpha=\"0.05\", expect_size=\"5536768\"] \n  33 [size=\"100748800\", alpha=\"0.08\", expect_size=\"40299520\"] \n  34 [size=\"82385920\", alpha=\"0.09\", expect_size=\"32954368\"] \n  35 [size=\"22538240\", alpha=\"0.01\", expect_size=\"9015296\"] \n  36 [size=\"121392640\", alpha=\"0.05\", expect_size=\"48557056\"] \n  37 [size=\"16847360\", alpha=\"0.01\", expect_size=\"6738944\"] \n  38 [size=\"95380480\", alpha=\"0.06\", expect_size=\"38152192\"] \n  39 [size=\"30794240\", alpha=\"0.09\", expect_size=\"12317696\"] \n  40 [size=\"127953920\", alpha=\"0.01\", expect_size=\"51181568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60211200\", alpha=\"0.18\", expect_size=\"18063360\"] \n  1 -> 6 [size =\"18063360\"]\n  1 -> 7 [size =\"18063360\"]\n  1 -> 8 [size =\"18063360\"]\n  1 -> 9 [size =\"18063360\"]\n  1 -> 11 [size =\"18063360\"]\n  2 [size=\"64614400\", alpha=\"0.09\", expect_size=\"19384320\"] \n  2 -> 6 [size =\"19384320\"]\n  2 -> 7 [size =\"19384320\"]\n  2 -> 8 [size =\"19384320\"]\n  2 -> 9 [size =\"19384320\"]\n  2 -> 10 [size =\"19384320\"]\n  3 [size=\"149794133\", alpha=\"0.02\", expect_size=\"44938240\"] \n  3 -> 6 [size =\"44938240\"]\n  3 -> 9 [size =\"44938240\"]\n  3 -> 12 [size =\"44938240\"]\n  4 [size=\"118459733\", alpha=\"0.17\", expect_size=\"35537920\"] \n  4 -> 8 [size =\"35537920\"]\n  4 -> 9 [size =\"35537920\"]\n  4 -> 11 [size =\"35537920\"]\n  5 [size=\"53309440\", alpha=\"0.10\", expect_size=\"15992832\"] \n  5 -> 6 [size =\"15992832\"]\n  5 -> 7 [size =\"15992832\"]\n  5 -> 8 [size =\"15992832\"]\n  5 -> 9 [size =\"15992832\"]\n  5 -> 11 [size =\"15992832\"]\n  6 [size=\"47711573\", alpha=\"0.04\", expect_size=\"14313472\"] \n  6 -> 15 [size =\"14313472\"]\n  6 -> 16 [size =\"14313472\"]\n  6 -> 17 [size =\"14313472\"]\n  6 -> 18 [size =\"14313472\"]\n  7 [size=\"17762987\", alpha=\"0.03\", expect_size=\"5328896\"] \n  7 -> 13 [size =\"5328896\"]\n  7 -> 15 [size =\"5328896\"]\n  7 -> 16 [size =\"5328896\"]\n  7 -> 17 [size =\"5328896\"]\n  7 -> 18 [size =\"5328896\"]\n  8 [size=\"91132587\", alpha=\"0.10\", expect_size=\"27339776\"] \n  8 -> 14 [size =\"27339776\"]\n  8 -> 15 [size =\"27339776\"]\n  8 -> 16 [size =\"27339776\"]\n  8 -> 17 [size =\"27339776\"]\n  8 -> 18 [size =\"27339776\"]\n  9 [size=\"55268693\", alpha=\"0.13\", expect_size=\"16580608\"] \n  9 -> 13 [size =\"16580608\"]\n  9 -> 15 [size =\"16580608\"]\n  9 -> 17 [size =\"16580608\"]\n  9 -> 17 [size =\"16580608\"]\n  10 [size=\"100601173\", alpha=\"0.00\", expect_size=\"30180352\"] \n  10 -> 13 [size =\"30180352\"]\n  10 -> 15 [size =\"30180352\"]\n  10 -> 17 [size =\"30180352\"]\n  10 -> 18 [size =\"30180352\"]\n  11 [size=\"120040107\", alpha=\"0.02\", expect_size=\"36012032\"] \n  11 -> 13 [size =\"36012032\"]\n  11 -> 15 [size =\"36012032\"]\n  12 [size=\"104430933\", alpha=\"0.19\", expect_size=\"31329280\"] \n  12 -> 15 [size =\"31329280\"]\n  12 -> 16 [size =\"31329280\"]\n  12 -> 17 [size =\"31329280\"]\n  13 [size=\"19698347\", alpha=\"0.06\", expect_size=\"5909504\"] \n  13 -> 19 [size =\"5909504\"]\n  13 -> 20 [size =\"5909504\"]\n  13 -> 21 [size =\"5909504\"]\n  14 [size=\"31498240\", alpha=\"0.05\", expect_size=\"9449472\"] \n  14 -> 19 [size =\"9449472\"]\n  14 -> 21 [size =\"9449472\"]\n  14 -> 21 [size =\"9449472\"]\n  15 [size=\"162413227\", alpha=\"0.07\", expect_size=\"48723968\"] \n  15 -> 19 [size =\"48723968\"]\n  16 [size=\"80735573\", alpha=\"0.02\", expect_size=\"24220672\"] \n  16 -> 19 [size =\"24220672\"]\n  17 [size=\"113138347\", alpha=\"0.15\", expect_size=\"33941504\"] \n  17 -> 19 [size =\"33941504\"]\n  18 [size=\"133263360\", alpha=\"0.17\", expect_size=\"39979008\"] \n  19 [size=\"58545493\", alpha=\"0.11\", expect_size=\"17563648\"] \n  19 -> 22 [size =\"17563648\"]\n  19 -> 25 [size =\"17563648\"]\n  20 [size=\"163130027\", alpha=\"0.19\", expect_size=\"48939008\"] \n  20 -> 23 [size =\"48939008\"]\n  21 [size=\"164481707\", alpha=\"0.12\", expect_size=\"49344512\"] \n  21 -> 22 [size =\"49344512\"]\n  21 -> 24 [size =\"49344512\"]\n  21 -> 25 [size =\"49344512\"]\n  22 [size=\"25453227\", alpha=\"0.12\", expect_size=\"7635968\"] \n  22 -> 26 [size =\"7635968\"]\n  22 -> 27 [size =\"7635968\"]\n  22 -> 30 [size =\"7635968\"]\n  22 -> 31 [size =\"7635968\"]\n  22 -> 32 [size =\"7635968\"]\n  23 [size=\"18650453\", alpha=\"0.08\", expect_size=\"5595136\"] \n  23 -> 26 [size =\"5595136\"]\n  23 -> 27 [size =\"5595136\"]\n  23 -> 30 [size =\"5595136\"]\n  23 -> 32 [size =\"5595136\"]\n  24 [size=\"64996693\", alpha=\"0.17\", expect_size=\"19499008\"] \n  24 -> 26 [size =\"19499008\"]\n  24 -> 27 [size =\"19499008\"]\n  24 -> 28 [size =\"19499008\"]\n  24 -> 30 [size =\"19499008\"]\n  24 -> 31 [size =\"19499008\"]\n  24 -> 32 [size =\"19499008\"]\n  25 [size=\"105553920\", alpha=\"0.11\", expect_size=\"31666176\"] \n  25 -> 26 [size =\"31666176\"]\n  25 -> 27 [size =\"31666176\"]\n  25 -> 29 [size =\"31666176\"]\n  25 -> 30 [size =\"31666176\"]\n  25 -> 31 [size =\"31666176\"]\n  25 -> 32 [size =\"31666176\"]\n  26 [size=\"162539520\", alpha=\"0.08\", expect_size=\"48761856\"] \n  26 -> 33 [size =\"48761856\"]\n  26 -> 34 [size =\"48761856\"]\n  27 [size=\"20459520\", alpha=\"0.06\", expect_size=\"6137856\"] \n  27 -> 33 [size =\"6137856\"]\n  27 -> 34 [size =\"6137856\"]\n  27 -> 35 [size =\"6137856\"]\n  27 -> 36 [size =\"6137856\"]\n  28 [size=\"136557227\", alpha=\"0.13\", expect_size=\"40967168\"] \n  28 -> 33 [size =\"40967168\"]\n  28 -> 34 [size =\"40967168\"]\n  28 -> 35 [size =\"40967168\"]\n  28 -> 36 [size =\"40967168\"]\n  29 [size=\"114657280\", alpha=\"0.05\", expect_size=\"34397184\"] \n  29 -> 33 [size =\"34397184\"]\n  29 -> 34 [size =\"34397184\"]\n  29 -> 36 [size =\"34397184\"]\n  29 -> 36 [size =\"34397184\"]\n  30 [size=\"43752107\", alpha=\"0.07\", expect_size=\"13125632\"] \n  30 -> 33 [size =\"13125632\"]\n  30 -> 34 [size =\"13125632\"]\n  30 -> 35 [size =\"13125632\"]\n  30 -> 36 [size =\"13125632\"]\n  31 [size=\"35805867\", alpha=\"0.02\", expect_size=\"10741760\"] \n  31 -> 33 [size =\"10741760\"]\n  31 -> 34 [size =\"10741760\"]\n  31 -> 36 [size =\"10741760\"]\n  31 -> 37 [size =\"10741760\"]\n  32 [size=\"133556907\", alpha=\"0.09\", expect_size=\"40067072\"] \n  32 -> 33 [size =\"40067072\"]\n  32 -> 36 [size =\"40067072\"]\n  33 [size=\"69570560\", alpha=\"0.15\", expect_size=\"20871168\"] \n  33 -> 39 [size =\"20871168\"]\n  34 [size=\"133454507\", alpha=\"0.04\", expect_size=\"40036352\"] \n  34 -> 39 [size =\"40036352\"]\n  34 -> 40 [size =\"40036352\"]\n  35 [size=\"111616000\", alpha=\"0.10\", expect_size=\"33484800\"] \n  35 -> 38 [size =\"33484800\"]\n  35 -> 39 [size =\"33484800\"]\n  36 [size=\"39891627\", alpha=\"0.05\", expect_size=\"11967488\"] \n  36 -> 38 [size =\"11967488\"]\n  36 -> 39 [size =\"11967488\"]\n  36 -> 40 [size =\"11967488\"]\n  37 [size=\"105806507\", alpha=\"0.13\", expect_size=\"31741952\"] \n  37 -> 39 [size =\"31741952\"]\n  37 -> 40 [size =\"31741952\"]\n  38 [size=\"152357547\", alpha=\"0.14\", expect_size=\"45707264\"] \n  39 [size=\"95924907\", alpha=\"0.01\", expect_size=\"28777472\"] \n  40 [size=\"131580587\", alpha=\"0.07\", expect_size=\"39474176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137936213\", alpha=\"0.12\", expect_size=\"41380864\"] \n  2 [size=\"37959680\", alpha=\"0.06\", expect_size=\"11387904\"] \n  2 -> 4 [size =\"11387904\"]\n  2 -> 6 [size =\"11387904\"]\n  3 [size=\"134130347\", alpha=\"0.13\", expect_size=\"40239104\"] \n  3 -> 5 [size =\"40239104\"]\n  4 [size=\"148217173\", alpha=\"0.07\", expect_size=\"44465152\"] \n  4 -> 7 [size =\"44465152\"]\n  4 -> 8 [size =\"44465152\"]\n  4 -> 11 [size =\"44465152\"]\n  4 -> 12 [size =\"44465152\"]\n  5 [size=\"47540907\", alpha=\"0.18\", expect_size=\"14262272\"] \n  6 [size=\"43847680\", alpha=\"0.08\", expect_size=\"13154304\"] \n  6 -> 7 [size =\"13154304\"]\n  6 -> 9 [size =\"13154304\"]\n  6 -> 10 [size =\"13154304\"]\n  7 [size=\"17739093\", alpha=\"0.01\", expect_size=\"5321728\"] \n  7 -> 14 [size =\"5321728\"]\n  7 -> 15 [size =\"5321728\"]\n  7 -> 16 [size =\"5321728\"]\n  8 [size=\"67505493\", alpha=\"0.03\", expect_size=\"20251648\"] \n  8 -> 13 [size =\"20251648\"]\n  9 [size=\"171960320\", alpha=\"0.16\", expect_size=\"51588096\"] \n  9 -> 16 [size =\"51588096\"]\n  10 [size=\"116152320\", alpha=\"0.10\", expect_size=\"34845696\"] \n  11 [size=\"17503573\", alpha=\"0.08\", expect_size=\"5251072\"] \n  11 -> 15 [size =\"5251072\"]\n  11 -> 16 [size =\"5251072\"]\n  12 [size=\"113728853\", alpha=\"0.09\", expect_size=\"34118656\"] \n  12 -> 13 [size =\"34118656\"]\n  12 -> 15 [size =\"34118656\"]\n  13 [size=\"162566827\", alpha=\"0.18\", expect_size=\"48770048\"] \n  13 -> 18 [size =\"48770048\"]\n  13 -> 19 [size =\"48770048\"]\n  13 -> 20 [size =\"48770048\"]\n  13 -> 22 [size =\"48770048\"]\n  14 [size=\"108141227\", alpha=\"0.11\", expect_size=\"32442368\"] \n  14 -> 17 [size =\"32442368\"]\n  15 [size=\"163631787\", alpha=\"0.18\", expect_size=\"49089536\"] \n  15 -> 21 [size =\"49089536\"]\n  16 [size=\"149626880\", alpha=\"0.01\", expect_size=\"44888064\"] \n  16 -> 17 [size =\"44888064\"]\n  16 -> 18 [size =\"44888064\"]\n  16 -> 22 [size =\"44888064\"]\n  17 [size=\"54196907\", alpha=\"0.06\", expect_size=\"16259072\"] \n  17 -> 24 [size =\"16259072\"]\n  17 -> 27 [size =\"16259072\"]\n  17 -> 28 [size =\"16259072\"]\n  18 [size=\"64030720\", alpha=\"0.14\", expect_size=\"19209216\"] \n  18 -> 23 [size =\"19209216\"]\n  18 -> 26 [size =\"19209216\"]\n  19 [size=\"88272213\", alpha=\"0.07\", expect_size=\"26481664\"] \n  20 [size=\"57227947\", alpha=\"0.01\", expect_size=\"17168384\"] \n  20 -> 24 [size =\"17168384\"]\n  20 -> 25 [size =\"17168384\"]\n  20 -> 26 [size =\"17168384\"]\n  21 [size=\"136963413\", alpha=\"0.11\", expect_size=\"41089024\"] \n  21 -> 26 [size =\"41089024\"]\n  22 [size=\"45025280\", alpha=\"0.03\", expect_size=\"13507584\"] \n  22 -> 23 [size =\"13507584\"]\n  22 -> 24 [size =\"13507584\"]\n  22 -> 27 [size =\"13507584\"]\n  23 [size=\"118473387\", alpha=\"0.10\", expect_size=\"35542016\"] \n  23 -> 30 [size =\"35542016\"]\n  23 -> 31 [size =\"35542016\"]\n  24 [size=\"101044907\", alpha=\"0.14\", expect_size=\"30313472\"] \n  24 -> 29 [size =\"30313472\"]\n  24 -> 30 [size =\"30313472\"]\n  25 [size=\"26507947\", alpha=\"0.02\", expect_size=\"7952384\"] \n  25 -> 29 [size =\"7952384\"]\n  26 [size=\"166427307\", alpha=\"0.13\", expect_size=\"49928192\"] \n  26 -> 29 [size =\"49928192\"]\n  26 -> 30 [size =\"49928192\"]\n  27 [size=\"170656427\", alpha=\"0.03\", expect_size=\"51196928\"] \n  28 [size=\"61685760\", alpha=\"0.01\", expect_size=\"18505728\"] \n  28 -> 31 [size =\"18505728\"]\n  29 [size=\"170967040\", alpha=\"0.18\", expect_size=\"51290112\"] \n  29 -> 32 [size =\"51290112\"]\n  29 -> 33 [size =\"51290112\"]\n  29 -> 34 [size =\"51290112\"]\n  29 -> 37 [size =\"51290112\"]\n  29 -> 38 [size =\"51290112\"]\n  30 [size=\"69498880\", alpha=\"0.07\", expect_size=\"20849664\"] \n  30 -> 35 [size =\"20849664\"]\n  31 [size=\"80735573\", alpha=\"0.17\", expect_size=\"24220672\"] \n  31 -> 36 [size =\"24220672\"]\n  32 [size=\"167860907\", alpha=\"0.18\", expect_size=\"50358272\"] \n  33 [size=\"36782080\", alpha=\"0.19\", expect_size=\"11034624\"] \n  34 [size=\"118732800\", alpha=\"0.10\", expect_size=\"35619840\"] \n  35 [size=\"72587947\", alpha=\"0.01\", expect_size=\"21776384\"] \n  35 -> 39 [size =\"21776384\"]\n  36 [size=\"85705387\", alpha=\"0.08\", expect_size=\"25711616\"] \n  37 [size=\"27170133\", alpha=\"0.19\", expect_size=\"8151040\"] \n  38 [size=\"54534827\", alpha=\"0.17\", expect_size=\"16360448\"] \n  38 -> 40 [size =\"16360448\"]\n  39 [size=\"60538880\", alpha=\"0.04\", expect_size=\"18161664\"] \n  40 [size=\"42386773\", alpha=\"0.15\", expect_size=\"12716032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107333120\", alpha=\"0.19\", expect_size=\"42933248\"] \n  1 -> 9 [size =\"42933248\"]\n  1 -> 10 [size =\"42933248\"]\n  2 [size=\"64133120\", alpha=\"0.09\", expect_size=\"25653248\"] \n  3 [size=\"32102400\", alpha=\"0.03\", expect_size=\"12840960\"] \n  4 [size=\"47613440\", alpha=\"0.05\", expect_size=\"19045376\"] \n  4 -> 7 [size =\"19045376\"]\n  4 -> 10 [size =\"19045376\"]\n  5 [size=\"127406080\", alpha=\"0.06\", expect_size=\"50962432\"] \n  5 -> 6 [size =\"50962432\"]\n  5 -> 8 [size =\"50962432\"]\n  5 -> 10 [size =\"50962432\"]\n  6 [size=\"46021120\", alpha=\"0.03\", expect_size=\"18408448\"] \n  6 -> 12 [size =\"18408448\"]\n  6 -> 13 [size =\"18408448\"]\n  6 -> 16 [size =\"18408448\"]\n  7 [size=\"84797440\", alpha=\"0.18\", expect_size=\"33918976\"] \n  7 -> 14 [size =\"33918976\"]\n  8 [size=\"69670400\", alpha=\"0.11\", expect_size=\"27868160\"] \n  8 -> 15 [size =\"27868160\"]\n  9 [size=\"108221440\", alpha=\"0.07\", expect_size=\"43288576\"] \n  9 -> 11 [size =\"43288576\"]\n  10 [size=\"98321920\", alpha=\"0.19\", expect_size=\"39328768\"] \n  10 -> 12 [size =\"39328768\"]\n  10 -> 13 [size =\"39328768\"]\n  10 -> 15 [size =\"39328768\"]\n  11 [size=\"72691200\", alpha=\"0.09\", expect_size=\"29076480\"] \n  11 -> 20 [size =\"29076480\"]\n  12 [size=\"65653760\", alpha=\"0.17\", expect_size=\"26261504\"] \n  12 -> 18 [size =\"26261504\"]\n  13 [size=\"117460480\", alpha=\"0.03\", expect_size=\"46984192\"] \n  13 -> 18 [size =\"46984192\"]\n  13 -> 22 [size =\"46984192\"]\n  14 [size=\"19394560\", alpha=\"0.07\", expect_size=\"7757824\"] \n  14 -> 18 [size =\"7757824\"]\n  14 -> 21 [size =\"7757824\"]\n  15 [size=\"46208000\", alpha=\"0.08\", expect_size=\"18483200\"] \n  15 -> 20 [size =\"18483200\"]\n  15 -> 23 [size =\"18483200\"]\n  16 [size=\"82946560\", alpha=\"0.01\", expect_size=\"33178624\"] \n  16 -> 17 [size =\"33178624\"]\n  16 -> 19 [size =\"33178624\"]\n  16 -> 22 [size =\"33178624\"]\n  17 [size=\"99622400\", alpha=\"0.17\", expect_size=\"39848960\"] \n  17 -> 25 [size =\"39848960\"]\n  18 [size=\"89052160\", alpha=\"0.12\", expect_size=\"35620864\"] \n  18 -> 26 [size =\"35620864\"]\n  19 [size=\"38517760\", alpha=\"0.14\", expect_size=\"15407104\"] \n  19 -> 26 [size =\"15407104\"]\n  20 [size=\"79275520\", alpha=\"0.17\", expect_size=\"31710208\"] \n  20 -> 24 [size =\"31710208\"]\n  21 [size=\"71923200\", alpha=\"0.16\", expect_size=\"28769280\"] \n  21 -> 24 [size =\"28769280\"]\n  22 [size=\"122393600\", alpha=\"0.04\", expect_size=\"48957440\"] \n  22 -> 24 [size =\"48957440\"]\n  22 -> 25 [size =\"48957440\"]\n  22 -> 26 [size =\"48957440\"]\n  22 -> 27 [size =\"48957440\"]\n  23 [size=\"107169280\", alpha=\"0.15\", expect_size=\"42867712\"] \n  23 -> 27 [size =\"42867712\"]\n  24 [size=\"127644160\", alpha=\"0.12\", expect_size=\"51057664\"] \n  24 -> 30 [size =\"51057664\"]\n  24 -> 32 [size =\"51057664\"]\n  24 -> 33 [size =\"51057664\"]\n  25 [size=\"52925440\", alpha=\"0.08\", expect_size=\"21170176\"] \n  25 -> 29 [size =\"21170176\"]\n  25 -> 31 [size =\"21170176\"]\n  25 -> 32 [size =\"21170176\"]\n  25 -> 33 [size =\"21170176\"]\n  26 [size=\"97328640\", alpha=\"0.09\", expect_size=\"38931456\"] \n  26 -> 28 [size =\"38931456\"]\n  26 -> 29 [size =\"38931456\"]\n  27 [size=\"102525440\", alpha=\"0.03\", expect_size=\"41010176\"] \n  27 -> 30 [size =\"41010176\"]\n  28 [size=\"87633920\", alpha=\"0.07\", expect_size=\"35053568\"] \n  28 -> 36 [size =\"35053568\"]\n  28 -> 38 [size =\"35053568\"]\n  28 -> 40 [size =\"35053568\"]\n  29 [size=\"38520320\", alpha=\"0.06\", expect_size=\"15408128\"] \n  29 -> 34 [size =\"15408128\"]\n  29 -> 35 [size =\"15408128\"]\n  29 -> 38 [size =\"15408128\"]\n  30 [size=\"122813440\", alpha=\"0.00\", expect_size=\"49125376\"] \n  30 -> 34 [size =\"49125376\"]\n  30 -> 35 [size =\"49125376\"]\n  30 -> 37 [size =\"49125376\"]\n  30 -> 39 [size =\"49125376\"]\n  30 -> 40 [size =\"49125376\"]\n  31 [size=\"106979840\", alpha=\"0.04\", expect_size=\"42791936\"] \n  31 -> 36 [size =\"42791936\"]\n  31 -> 39 [size =\"42791936\"]\n  32 [size=\"85250560\", alpha=\"0.17\", expect_size=\"34100224\"] \n  32 -> 38 [size =\"34100224\"]\n  32 -> 40 [size =\"34100224\"]\n  33 [size=\"108646400\", alpha=\"0.08\", expect_size=\"43458560\"] \n  33 -> 39 [size =\"43458560\"]\n  34 [size=\"78202880\", alpha=\"0.20\", expect_size=\"31281152\"] \n  35 [size=\"28423680\", alpha=\"0.17\", expect_size=\"11369472\"] \n  36 [size=\"73612800\", alpha=\"0.06\", expect_size=\"29445120\"] \n  37 [size=\"128719360\", alpha=\"0.10\", expect_size=\"51487744\"] \n  38 [size=\"29501440\", alpha=\"0.07\", expect_size=\"11800576\"] \n  39 [size=\"68456960\", alpha=\"0.08\", expect_size=\"27382784\"] \n  40 [size=\"104768000\", alpha=\"0.00\", expect_size=\"41907200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112568320\", alpha=\"0.09\", expect_size=\"33770496\"] \n  1 -> 7 [size =\"33770496\"]\n  2 [size=\"60095147\", alpha=\"0.15\", expect_size=\"18028544\"] \n  2 -> 8 [size =\"18028544\"]\n  3 [size=\"141824000\", alpha=\"0.03\", expect_size=\"42547200\"] \n  3 -> 9 [size =\"42547200\"]\n  3 -> 10 [size =\"42547200\"]\n  3 -> 11 [size =\"42547200\"]\n  3 -> 12 [size =\"42547200\"]\n  4 [size=\"53193387\", alpha=\"0.16\", expect_size=\"15958016\"] \n  4 -> 9 [size =\"15958016\"]\n  4 -> 10 [size =\"15958016\"]\n  5 [size=\"42803200\", alpha=\"0.04\", expect_size=\"12840960\"] \n  5 -> 7 [size =\"12840960\"]\n  5 -> 9 [size =\"12840960\"]\n  6 [size=\"83124907\", alpha=\"0.11\", expect_size=\"24937472\"] \n  6 -> 8 [size =\"24937472\"]\n  6 -> 10 [size =\"24937472\"]\n  7 [size=\"136693760\", alpha=\"0.13\", expect_size=\"41008128\"] \n  7 -> 14 [size =\"41008128\"]\n  7 -> 15 [size =\"41008128\"]\n  7 -> 16 [size =\"41008128\"]\n  7 -> 17 [size =\"41008128\"]\n  8 [size=\"72157867\", alpha=\"0.04\", expect_size=\"21647360\"] \n  8 -> 17 [size =\"21647360\"]\n  9 [size=\"32645120\", alpha=\"0.06\", expect_size=\"9793536\"] \n  9 -> 17 [size =\"9793536\"]\n  10 [size=\"94020267\", alpha=\"0.16\", expect_size=\"28206080\"] \n  10 -> 13 [size =\"28206080\"]\n  11 [size=\"155514880\", alpha=\"0.18\", expect_size=\"46654464\"] \n  12 [size=\"69642240\", alpha=\"0.03\", expect_size=\"20892672\"] \n  12 -> 14 [size =\"20892672\"]\n  12 -> 15 [size =\"20892672\"]\n  13 [size=\"33085440\", alpha=\"0.15\", expect_size=\"9925632\"] \n  13 -> 20 [size =\"9925632\"]\n  13 -> 21 [size =\"9925632\"]\n  14 [size=\"58142720\", alpha=\"0.17\", expect_size=\"17442816\"] \n  14 -> 18 [size =\"17442816\"]\n  14 -> 20 [size =\"17442816\"]\n  15 [size=\"26204160\", alpha=\"0.06\", expect_size=\"7861248\"] \n  15 -> 21 [size =\"7861248\"]\n  16 [size=\"56070827\", alpha=\"0.18\", expect_size=\"16821248\"] \n  16 -> 19 [size =\"16821248\"]\n  17 [size=\"146145280\", alpha=\"0.14\", expect_size=\"43843584\"] \n  17 -> 20 [size =\"43843584\"]\n  18 [size=\"94593707\", alpha=\"0.10\", expect_size=\"28378112\"] \n  18 -> 22 [size =\"28378112\"]\n  18 -> 23 [size =\"28378112\"]\n  18 -> 24 [size =\"28378112\"]\n  18 -> 26 [size =\"28378112\"]\n  19 [size=\"128798720\", alpha=\"0.14\", expect_size=\"38639616\"] \n  19 -> 22 [size =\"38639616\"]\n  19 -> 25 [size =\"38639616\"]\n  20 [size=\"172178773\", alpha=\"0.09\", expect_size=\"51653632\"] \n  21 [size=\"138052267\", alpha=\"0.16\", expect_size=\"41415680\"] \n  21 -> 23 [size =\"41415680\"]\n  21 -> 25 [size =\"41415680\"]\n  22 [size=\"121668267\", alpha=\"0.08\", expect_size=\"36500480\"] \n  22 -> 27 [size =\"36500480\"]\n  23 [size=\"143909547\", alpha=\"0.16\", expect_size=\"43172864\"] \n  23 -> 27 [size =\"43172864\"]\n  24 [size=\"102085973\", alpha=\"0.09\", expect_size=\"30625792\"] \n  24 -> 29 [size =\"30625792\"]\n  24 -> 30 [size =\"30625792\"]\n  24 -> 31 [size =\"30625792\"]\n  25 [size=\"79059627\", alpha=\"0.04\", expect_size=\"23717888\"] \n  25 -> 28 [size =\"23717888\"]\n  25 -> 29 [size =\"23717888\"]\n  25 -> 30 [size =\"23717888\"]\n  25 -> 32 [size =\"23717888\"]\n  26 [size=\"123207680\", alpha=\"0.09\", expect_size=\"36962304\"] \n  26 -> 27 [size =\"36962304\"]\n  26 -> 28 [size =\"36962304\"]\n  27 [size=\"105898667\", alpha=\"0.08\", expect_size=\"31769600\"] \n  27 -> 36 [size =\"31769600\"]\n  28 [size=\"59016533\", alpha=\"0.14\", expect_size=\"17704960\"] \n  28 -> 36 [size =\"17704960\"]\n  28 -> 37 [size =\"17704960\"]\n  29 [size=\"140537173\", alpha=\"0.02\", expect_size=\"42161152\"] \n  29 -> 35 [size =\"42161152\"]\n  29 -> 38 [size =\"42161152\"]\n  30 [size=\"95928320\", alpha=\"0.00\", expect_size=\"28778496\"] \n  30 -> 33 [size =\"28778496\"]\n  30 -> 34 [size =\"28778496\"]\n  30 -> 36 [size =\"28778496\"]\n  30 -> 37 [size =\"28778496\"]\n  31 [size=\"166894933\", alpha=\"0.16\", expect_size=\"50068480\"] \n  31 -> 35 [size =\"50068480\"]\n  32 [size=\"133956267\", alpha=\"0.18\", expect_size=\"40186880\"] \n  33 [size=\"39738027\", alpha=\"0.02\", expect_size=\"11921408\"] \n  34 [size=\"165874347\", alpha=\"0.11\", expect_size=\"49762304\"] \n  35 [size=\"76223147\", alpha=\"0.01\", expect_size=\"22866944\"] \n  36 [size=\"110687573\", alpha=\"0.17\", expect_size=\"33206272\"] \n  36 -> 40 [size =\"33206272\"]\n  37 [size=\"20350293\", alpha=\"0.08\", expect_size=\"6105088\"] \n  38 [size=\"81708373\", alpha=\"0.10\", expect_size=\"24512512\"] \n  38 -> 39 [size =\"24512512\"]\n  39 [size=\"34884267\", alpha=\"0.05\", expect_size=\"10465280\"] \n  40 [size=\"52322987\", alpha=\"0.01\", expect_size=\"15696896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48765440\", alpha=\"0.16\", expect_size=\"19506176\"] \n  1 -> 2 [size =\"19506176\"]\n  2 [size=\"53806080\", alpha=\"0.01\", expect_size=\"21522432\"] \n  2 -> 3 [size =\"21522432\"]\n  3 [size=\"113397760\", alpha=\"0.06\", expect_size=\"45359104\"] \n  3 -> 4 [size =\"45359104\"]\n  4 [size=\"54149120\", alpha=\"0.12\", expect_size=\"21659648\"] \n  4 -> 5 [size =\"21659648\"]\n  5 [size=\"116134400\", alpha=\"0.15\", expect_size=\"46453760\"] \n  5 -> 6 [size =\"46453760\"]\n  6 [size=\"63774720\", alpha=\"0.18\", expect_size=\"25509888\"] \n  6 -> 7 [size =\"25509888\"]\n  7 [size=\"85926400\", alpha=\"0.17\", expect_size=\"34370560\"] \n  7 -> 8 [size =\"34370560\"]\n  8 [size=\"30464000\", alpha=\"0.07\", expect_size=\"12185600\"] \n  8 -> 9 [size =\"12185600\"]\n  9 [size=\"90926080\", alpha=\"0.03\", expect_size=\"36370432\"] \n  9 -> 10 [size =\"36370432\"]\n  10 [size=\"30269440\", alpha=\"0.18\", expect_size=\"12107776\"] \n  10 -> 11 [size =\"12107776\"]\n  11 [size=\"112279040\", alpha=\"0.13\", expect_size=\"44911616\"] \n  11 -> 12 [size =\"44911616\"]\n  12 [size=\"86632960\", alpha=\"0.04\", expect_size=\"34653184\"] \n  12 -> 13 [size =\"34653184\"]\n  13 [size=\"92247040\", alpha=\"0.17\", expect_size=\"36898816\"] \n  13 -> 14 [size =\"36898816\"]\n  14 [size=\"126784000\", alpha=\"0.01\", expect_size=\"50713600\"] \n  14 -> 15 [size =\"50713600\"]\n  15 [size=\"77959680\", alpha=\"0.07\", expect_size=\"31183872\"] \n  15 -> 16 [size =\"31183872\"]\n  16 [size=\"46241280\", alpha=\"0.03\", expect_size=\"18496512\"] \n  16 -> 17 [size =\"18496512\"]\n  17 [size=\"33420800\", alpha=\"0.17\", expect_size=\"13368320\"] \n  17 -> 18 [size =\"13368320\"]\n  18 [size=\"15296000\", alpha=\"0.02\", expect_size=\"6118400\"] \n  18 -> 19 [size =\"6118400\"]\n  19 [size=\"59271680\", alpha=\"0.04\", expect_size=\"23708672\"] \n  19 -> 20 [size =\"23708672\"]\n  20 [size=\"77373440\", alpha=\"0.15\", expect_size=\"30949376\"] \n  20 -> 21 [size =\"30949376\"]\n  21 [size=\"66803200\", alpha=\"0.13\", expect_size=\"26721280\"] \n  21 -> 22 [size =\"26721280\"]\n  22 [size=\"23733760\", alpha=\"0.18\", expect_size=\"9493504\"] \n  22 -> 23 [size =\"9493504\"]\n  23 [size=\"50186240\", alpha=\"0.20\", expect_size=\"20074496\"] \n  23 -> 24 [size =\"20074496\"]\n  24 [size=\"30003200\", alpha=\"0.09\", expect_size=\"12001280\"] \n  24 -> 25 [size =\"12001280\"]\n  25 [size=\"35402240\", alpha=\"0.15\", expect_size=\"14160896\"] \n  25 -> 26 [size =\"14160896\"]\n  26 [size=\"76503040\", alpha=\"0.10\", expect_size=\"30601216\"] \n  26 -> 27 [size =\"30601216\"]\n  27 [size=\"96675840\", alpha=\"0.17\", expect_size=\"38670336\"] \n  27 -> 28 [size =\"38670336\"]\n  28 [size=\"77514240\", alpha=\"0.07\", expect_size=\"31005696\"] \n  28 -> 29 [size =\"31005696\"]\n  29 [size=\"90204160\", alpha=\"0.10\", expect_size=\"36081664\"] \n  29 -> 30 [size =\"36081664\"]\n  30 [size=\"111042560\", alpha=\"0.17\", expect_size=\"44417024\"] \n  30 -> 31 [size =\"44417024\"]\n  31 [size=\"83950080\", alpha=\"0.20\", expect_size=\"33580032\"] \n  31 -> 32 [size =\"33580032\"]\n  32 [size=\"44587520\", alpha=\"0.15\", expect_size=\"17835008\"] \n  32 -> 33 [size =\"17835008\"]\n  33 [size=\"33658880\", alpha=\"0.04\", expect_size=\"13463552\"] \n  33 -> 34 [size =\"13463552\"]\n  34 [size=\"33484800\", alpha=\"0.12\", expect_size=\"13393920\"] \n  34 -> 35 [size =\"13393920\"]\n  35 [size=\"85112320\", alpha=\"0.12\", expect_size=\"34044928\"] \n  35 -> 36 [size =\"34044928\"]\n  36 [size=\"55639040\", alpha=\"0.16\", expect_size=\"22255616\"] \n  36 -> 37 [size =\"22255616\"]\n  37 [size=\"113699840\", alpha=\"0.05\", expect_size=\"45479936\"] \n  37 -> 38 [size =\"45479936\"]\n  38 [size=\"96181760\", alpha=\"0.13\", expect_size=\"38472704\"] \n  38 -> 39 [size =\"38472704\"]\n  39 [size=\"20449280\", alpha=\"0.10\", expect_size=\"8179712\"] \n  39 -> 40 [size =\"8179712\"]\n  40 [size=\"82283520\", alpha=\"0.17\", expect_size=\"32913408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101245440\", alpha=\"0.10\", expect_size=\"40498176\"] \n  1 -> 2 [size =\"40498176\"]\n  2 [size=\"83366400\", alpha=\"0.05\", expect_size=\"33346560\"] \n  2 -> 3 [size =\"33346560\"]\n  3 [size=\"74877440\", alpha=\"0.00\", expect_size=\"29950976\"] \n  3 -> 4 [size =\"29950976\"]\n  4 [size=\"61711360\", alpha=\"0.19\", expect_size=\"24684544\"] \n  4 -> 5 [size =\"24684544\"]\n  5 [size=\"19087360\", alpha=\"0.07\", expect_size=\"7634944\"] \n  5 -> 6 [size =\"7634944\"]\n  6 [size=\"80501760\", alpha=\"0.18\", expect_size=\"32200704\"] \n  6 -> 7 [size =\"32200704\"]\n  7 [size=\"90478080\", alpha=\"0.10\", expect_size=\"36191232\"] \n  7 -> 8 [size =\"36191232\"]\n  8 [size=\"63106560\", alpha=\"0.19\", expect_size=\"25242624\"] \n  8 -> 9 [size =\"25242624\"]\n  9 [size=\"105113600\", alpha=\"0.11\", expect_size=\"42045440\"] \n  9 -> 10 [size =\"42045440\"]\n  10 [size=\"19112960\", alpha=\"0.15\", expect_size=\"7645184\"] \n  10 -> 11 [size =\"7645184\"]\n  11 [size=\"88826880\", alpha=\"0.07\", expect_size=\"35530752\"] \n  11 -> 12 [size =\"35530752\"]\n  12 [size=\"30018560\", alpha=\"0.20\", expect_size=\"12007424\"] \n  12 -> 13 [size =\"12007424\"]\n  13 [size=\"59343360\", alpha=\"0.20\", expect_size=\"23737344\"] \n  13 -> 14 [size =\"23737344\"]\n  14 [size=\"61780480\", alpha=\"0.08\", expect_size=\"24712192\"] \n  14 -> 15 [size =\"24712192\"]\n  15 [size=\"56650240\", alpha=\"0.17\", expect_size=\"22660096\"] \n  15 -> 16 [size =\"22660096\"]\n  16 [size=\"96852480\", alpha=\"0.05\", expect_size=\"38740992\"] \n  16 -> 17 [size =\"38740992\"]\n  17 [size=\"87040000\", alpha=\"0.03\", expect_size=\"34816000\"] \n  17 -> 18 [size =\"34816000\"]\n  18 [size=\"27463680\", alpha=\"0.12\", expect_size=\"10985472\"] \n  18 -> 19 [size =\"10985472\"]\n  19 [size=\"23892480\", alpha=\"0.18\", expect_size=\"9556992\"] \n  19 -> 20 [size =\"9556992\"]\n  20 [size=\"90639360\", alpha=\"0.00\", expect_size=\"36255744\"] \n  20 -> 21 [size =\"36255744\"]\n  21 [size=\"58483200\", alpha=\"0.17\", expect_size=\"23393280\"] \n  21 -> 22 [size =\"23393280\"]\n  22 [size=\"102689280\", alpha=\"0.06\", expect_size=\"41075712\"] \n  22 -> 23 [size =\"41075712\"]\n  23 [size=\"101504000\", alpha=\"0.05\", expect_size=\"40601600\"] \n  23 -> 24 [size =\"40601600\"]\n  24 [size=\"99560960\", alpha=\"0.12\", expect_size=\"39824384\"] \n  24 -> 25 [size =\"39824384\"]\n  25 [size=\"30364160\", alpha=\"0.00\", expect_size=\"12145664\"] \n  25 -> 26 [size =\"12145664\"]\n  26 [size=\"128965120\", alpha=\"0.00\", expect_size=\"51586048\"] \n  26 -> 27 [size =\"51586048\"]\n  27 [size=\"39180800\", alpha=\"0.13\", expect_size=\"15672320\"] \n  27 -> 28 [size =\"15672320\"]\n  28 [size=\"59745280\", alpha=\"0.15\", expect_size=\"23898112\"] \n  28 -> 29 [size =\"23898112\"]\n  29 [size=\"14896640\", alpha=\"0.12\", expect_size=\"5958656\"] \n  29 -> 30 [size =\"5958656\"]\n  30 [size=\"122598400\", alpha=\"0.10\", expect_size=\"49039360\"] \n  30 -> 31 [size =\"49039360\"]\n  31 [size=\"123036160\", alpha=\"0.01\", expect_size=\"49214464\"] \n  31 -> 32 [size =\"49214464\"]\n  32 [size=\"104353280\", alpha=\"0.14\", expect_size=\"41741312\"] \n  32 -> 33 [size =\"41741312\"]\n  33 [size=\"18841600\", alpha=\"0.16\", expect_size=\"7536640\"] \n  33 -> 34 [size =\"7536640\"]\n  34 [size=\"46243840\", alpha=\"0.06\", expect_size=\"18497536\"] \n  34 -> 35 [size =\"18497536\"]\n  35 [size=\"117196800\", alpha=\"0.03\", expect_size=\"46878720\"] \n  35 -> 36 [size =\"46878720\"]\n  36 [size=\"119715840\", alpha=\"0.14\", expect_size=\"47886336\"] \n  36 -> 37 [size =\"47886336\"]\n  37 [size=\"121198080\", alpha=\"0.18\", expect_size=\"48479232\"] \n  37 -> 38 [size =\"48479232\"]\n  38 [size=\"81052160\", alpha=\"0.05\", expect_size=\"32420864\"] \n  38 -> 39 [size =\"32420864\"]\n  39 [size=\"49280000\", alpha=\"0.13\", expect_size=\"19712000\"] \n  39 -> 40 [size =\"19712000\"]\n  40 [size=\"117885440\", alpha=\"0.14\", expect_size=\"47154176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123965440\", alpha=\"0.15\", expect_size=\"37189632\"] \n  1 -> 2 [size =\"37189632\"]\n  2 [size=\"68901547\", alpha=\"0.19\", expect_size=\"20670464\"] \n  2 -> 3 [size =\"20670464\"]\n  3 [size=\"44724907\", alpha=\"0.15\", expect_size=\"13417472\"] \n  3 -> 4 [size =\"13417472\"]\n  4 [size=\"87842133\", alpha=\"0.07\", expect_size=\"26352640\"] \n  4 -> 5 [size =\"26352640\"]\n  5 [size=\"126692693\", alpha=\"0.10\", expect_size=\"38007808\"] \n  5 -> 6 [size =\"38007808\"]\n  6 [size=\"123627520\", alpha=\"0.10\", expect_size=\"37088256\"] \n  6 -> 7 [size =\"37088256\"]\n  7 [size=\"41420800\", alpha=\"0.05\", expect_size=\"12426240\"] \n  7 -> 8 [size =\"12426240\"]\n  8 [size=\"41949867\", alpha=\"0.03\", expect_size=\"12584960\"] \n  8 -> 9 [size =\"12584960\"]\n  9 [size=\"73212587\", alpha=\"0.02\", expect_size=\"21963776\"] \n  9 -> 10 [size =\"21963776\"]\n  10 [size=\"160965973\", alpha=\"0.14\", expect_size=\"48289792\"] \n  10 -> 11 [size =\"48289792\"]\n  11 [size=\"81121280\", alpha=\"0.06\", expect_size=\"24336384\"] \n  11 -> 12 [size =\"24336384\"]\n  12 [size=\"38813013\", alpha=\"0.10\", expect_size=\"11643904\"] \n  12 -> 13 [size =\"11643904\"]\n  13 [size=\"33590613\", alpha=\"0.18\", expect_size=\"10077184\"] \n  13 -> 14 [size =\"10077184\"]\n  14 [size=\"155354453\", alpha=\"0.12\", expect_size=\"46606336\"] \n  14 -> 15 [size =\"46606336\"]\n  15 [size=\"55156053\", alpha=\"0.13\", expect_size=\"16546816\"] \n  15 -> 16 [size =\"16546816\"]\n  16 [size=\"133696853\", alpha=\"0.14\", expect_size=\"40109056\"] \n  16 -> 17 [size =\"40109056\"]\n  17 [size=\"56094720\", alpha=\"0.18\", expect_size=\"16828416\"] \n  17 -> 18 [size =\"16828416\"]\n  18 [size=\"91668480\", alpha=\"0.01\", expect_size=\"27500544\"] \n  18 -> 19 [size =\"27500544\"]\n  19 [size=\"118504107\", alpha=\"0.12\", expect_size=\"35551232\"] \n  19 -> 20 [size =\"35551232\"]\n  20 [size=\"135304533\", alpha=\"0.14\", expect_size=\"40591360\"] \n  20 -> 21 [size =\"40591360\"]\n  21 [size=\"88258560\", alpha=\"0.10\", expect_size=\"26477568\"] \n  21 -> 22 [size =\"26477568\"]\n  22 [size=\"135768747\", alpha=\"0.12\", expect_size=\"40730624\"] \n  22 -> 23 [size =\"40730624\"]\n  23 [size=\"53504000\", alpha=\"0.17\", expect_size=\"16051200\"] \n  23 -> 24 [size =\"16051200\"]\n  24 [size=\"37106347\", alpha=\"0.12\", expect_size=\"11131904\"] \n  24 -> 25 [size =\"11131904\"]\n  25 [size=\"127784960\", alpha=\"0.20\", expect_size=\"38335488\"] \n  25 -> 26 [size =\"38335488\"]\n  26 [size=\"73850880\", alpha=\"0.02\", expect_size=\"22155264\"] \n  26 -> 27 [size =\"22155264\"]\n  27 [size=\"23224320\", alpha=\"0.07\", expect_size=\"6967296\"] \n  27 -> 28 [size =\"6967296\"]\n  28 [size=\"167468373\", alpha=\"0.15\", expect_size=\"50240512\"] \n  28 -> 29 [size =\"50240512\"]\n  29 [size=\"20824747\", alpha=\"0.10\", expect_size=\"6247424\"] \n  29 -> 30 [size =\"6247424\"]\n  30 [size=\"116247893\", alpha=\"0.03\", expect_size=\"34874368\"] \n  30 -> 31 [size =\"34874368\"]\n  31 [size=\"69836800\", alpha=\"0.05\", expect_size=\"20951040\"] \n  31 -> 32 [size =\"20951040\"]\n  32 [size=\"145373867\", alpha=\"0.09\", expect_size=\"43612160\"] \n  32 -> 33 [size =\"43612160\"]\n  33 [size=\"79711573\", alpha=\"0.15\", expect_size=\"23913472\"] \n  33 -> 34 [size =\"23913472\"]\n  34 [size=\"57384960\", alpha=\"0.19\", expect_size=\"17215488\"] \n  34 -> 35 [size =\"17215488\"]\n  35 [size=\"148759893\", alpha=\"0.07\", expect_size=\"44627968\"] \n  35 -> 36 [size =\"44627968\"]\n  36 [size=\"148486827\", alpha=\"0.10\", expect_size=\"44546048\"] \n  36 -> 37 [size =\"44546048\"]\n  37 [size=\"162717013\", alpha=\"0.19\", expect_size=\"48815104\"] \n  37 -> 38 [size =\"48815104\"]\n  38 [size=\"58108587\", alpha=\"0.16\", expect_size=\"17432576\"] \n  38 -> 39 [size =\"17432576\"]\n  39 [size=\"173711360\", alpha=\"0.07\", expect_size=\"52113408\"] \n  39 -> 40 [size =\"52113408\"]\n  40 [size=\"93399040\", alpha=\"0.12\", expect_size=\"28019712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39469056\", alpha=\"0.17\", expect_size=\"19734528\"] \n  1 -> 34 [size =\"19734528\"]\n  1 -> 37 [size =\"19734528\"]\n  1 -> 40 [size =\"19734528\"]\n  2 [size=\"86777856\", alpha=\"0.15\", expect_size=\"43388928\"] \n  2 -> 32 [size =\"43388928\"]\n  2 -> 33 [size =\"43388928\"]\n  2 -> 35 [size =\"43388928\"]\n  2 -> 37 [size =\"43388928\"]\n  2 -> 40 [size =\"43388928\"]\n  3 [size=\"15636480\", alpha=\"0.11\", expect_size=\"7818240\"] \n  3 -> 31 [size =\"7818240\"]\n  3 -> 34 [size =\"7818240\"]\n  3 -> 39 [size =\"7818240\"]\n  3 -> 40 [size =\"7818240\"]\n  4 [size=\"64595968\", alpha=\"0.04\", expect_size=\"32297984\"] \n  4 -> 32 [size =\"32297984\"]\n  4 -> 34 [size =\"32297984\"]\n  4 -> 35 [size =\"32297984\"]\n  4 -> 38 [size =\"32297984\"]\n  4 -> 40 [size =\"32297984\"]\n  5 [size=\"79575040\", alpha=\"0.02\", expect_size=\"39787520\"] \n  5 -> 32 [size =\"39787520\"]\n  5 -> 36 [size =\"39787520\"]\n  5 -> 38 [size =\"39787520\"]\n  5 -> 40 [size =\"39787520\"]\n  5 -> 40 [size =\"39787520\"]\n  6 [size=\"43665408\", alpha=\"0.02\", expect_size=\"21832704\"] \n  6 -> 32 [size =\"21832704\"]\n  6 -> 34 [size =\"21832704\"]\n  6 -> 36 [size =\"21832704\"]\n  6 -> 38 [size =\"21832704\"]\n  7 [size=\"34295808\", alpha=\"0.07\", expect_size=\"17147904\"] \n  7 -> 34 [size =\"17147904\"]\n  7 -> 34 [size =\"17147904\"]\n  7 -> 35 [size =\"17147904\"]\n  7 -> 37 [size =\"17147904\"]\n  7 -> 39 [size =\"17147904\"]\n  8 [size=\"48345088\", alpha=\"0.19\", expect_size=\"24172544\"] \n  8 -> 31 [size =\"24172544\"]\n  8 -> 34 [size =\"24172544\"]\n  8 -> 36 [size =\"24172544\"]\n  8 -> 38 [size =\"24172544\"]\n  9 [size=\"100497408\", alpha=\"0.19\", expect_size=\"50248704\"] \n  9 -> 34 [size =\"50248704\"]\n  9 -> 38 [size =\"50248704\"]\n  9 -> 40 [size =\"50248704\"]\n  10 [size=\"46307328\", alpha=\"0.17\", expect_size=\"23153664\"] \n  10 -> 32 [size =\"23153664\"]\n  11 [size=\"51738624\", alpha=\"0.20\", expect_size=\"25869312\"] \n  11 -> 30 [size =\"25869312\"]\n  11 -> 32 [size =\"25869312\"]\n  11 -> 34 [size =\"25869312\"]\n  11 -> 35 [size =\"25869312\"]\n  11 -> 37 [size =\"25869312\"]\n  11 -> 38 [size =\"25869312\"]\n  12 [size=\"39231488\", alpha=\"0.18\", expect_size=\"19615744\"] \n  12 -> 30 [size =\"19615744\"]\n  12 -> 32 [size =\"19615744\"]\n  13 [size=\"16322560\", alpha=\"0.14\", expect_size=\"8161280\"] \n  14 [size=\"67010560\", alpha=\"0.13\", expect_size=\"33505280\"] \n  14 -> 30 [size =\"33505280\"]\n  14 -> 33 [size =\"33505280\"]\n  15 [size=\"85004288\", alpha=\"0.08\", expect_size=\"42502144\"] \n  15 -> 32 [size =\"42502144\"]\n  15 -> 33 [size =\"42502144\"]\n  15 -> 37 [size =\"42502144\"]\n  16 [size=\"96610304\", alpha=\"0.02\", expect_size=\"48305152\"] \n  16 -> 31 [size =\"48305152\"]\n  16 -> 32 [size =\"48305152\"]\n  16 -> 33 [size =\"48305152\"]\n  16 -> 35 [size =\"48305152\"]\n  17 [size=\"12126208\", alpha=\"0.09\", expect_size=\"6063104\"] \n  17 -> 33 [size =\"6063104\"]\n  17 -> 35 [size =\"6063104\"]\n  17 -> 37 [size =\"6063104\"]\n  17 -> 40 [size =\"6063104\"]\n  18 [size=\"43106304\", alpha=\"0.19\", expect_size=\"21553152\"] \n  18 -> 33 [size =\"21553152\"]\n  18 -> 35 [size =\"21553152\"]\n  18 -> 36 [size =\"21553152\"]\n  19 [size=\"36151296\", alpha=\"0.07\", expect_size=\"18075648\"] \n  19 -> 32 [size =\"18075648\"]\n  19 -> 35 [size =\"18075648\"]\n  20 [size=\"30066688\", alpha=\"0.12\", expect_size=\"15033344\"] \n  20 -> 31 [size =\"15033344\"]\n  20 -> 34 [size =\"15033344\"]\n  20 -> 37 [size =\"15033344\"]\n  20 -> 40 [size =\"15033344\"]\n  21 [size=\"16107520\", alpha=\"0.04\", expect_size=\"8053760\"] \n  21 -> 31 [size =\"8053760\"]\n  21 -> 32 [size =\"8053760\"]\n  21 -> 40 [size =\"8053760\"]\n  21 -> 40 [size =\"8053760\"]\n  22 [size=\"13883392\", alpha=\"0.11\", expect_size=\"6941696\"] \n  22 -> 32 [size =\"6941696\"]\n  22 -> 40 [size =\"6941696\"]\n  23 [size=\"96737280\", alpha=\"0.00\", expect_size=\"48368640\"] \n  23 -> 30 [size =\"48368640\"]\n  23 -> 31 [size =\"48368640\"]\n  23 -> 32 [size =\"48368640\"]\n  24 [size=\"66101248\", alpha=\"0.00\", expect_size=\"33050624\"] \n  24 -> 31 [size =\"33050624\"]\n  24 -> 35 [size =\"33050624\"]\n  25 [size=\"32135168\", alpha=\"0.15\", expect_size=\"16067584\"] \n  26 [size=\"71782400\", alpha=\"0.17\", expect_size=\"35891200\"] \n  27 [size=\"81025024\", alpha=\"0.04\", expect_size=\"40512512\"] \n  27 -> 32 [size =\"40512512\"]\n  27 -> 34 [size =\"40512512\"]\n  27 -> 35 [size =\"40512512\"]\n  28 [size=\"31381504\", alpha=\"0.19\", expect_size=\"15690752\"] \n  28 -> 34 [size =\"15690752\"]\n  28 -> 35 [size =\"15690752\"]\n  28 -> 37 [size =\"15690752\"]\n  29 [size=\"25534464\", alpha=\"0.13\", expect_size=\"12767232\"] \n  29 -> 32 [size =\"12767232\"]\n  29 -> 33 [size =\"12767232\"]\n  29 -> 34 [size =\"12767232\"]\n  30 [size=\"57188352\", alpha=\"0.15\", expect_size=\"28594176\"] \n  31 [size=\"19937280\", alpha=\"0.05\", expect_size=\"9968640\"] \n  32 [size=\"37136384\", alpha=\"0.02\", expect_size=\"18568192\"] \n  33 [size=\"90710016\", alpha=\"0.20\", expect_size=\"45355008\"] \n  34 [size=\"91432960\", alpha=\"0.09\", expect_size=\"45716480\"] \n  35 [size=\"93423616\", alpha=\"0.15\", expect_size=\"46711808\"] \n  36 [size=\"71393280\", alpha=\"0.19\", expect_size=\"35696640\"] \n  37 [size=\"58527744\", alpha=\"0.03\", expect_size=\"29263872\"] \n  38 [size=\"78635008\", alpha=\"0.14\", expect_size=\"39317504\"] \n  39 [size=\"75204608\", alpha=\"0.10\", expect_size=\"37602304\"] \n  40 [size=\"43876352\", alpha=\"0.11\", expect_size=\"21938176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49250304\", alpha=\"0.15\", expect_size=\"24625152\"] \n  1 -> 34 [size =\"24625152\"]\n  1 -> 36 [size =\"24625152\"]\n  1 -> 37 [size =\"24625152\"]\n  1 -> 39 [size =\"24625152\"]\n  2 [size=\"81088512\", alpha=\"0.17\", expect_size=\"40544256\"] \n  2 -> 31 [size =\"40544256\"]\n  2 -> 37 [size =\"40544256\"]\n  2 -> 39 [size =\"40544256\"]\n  3 [size=\"25892864\", alpha=\"0.01\", expect_size=\"12946432\"] \n  3 -> 31 [size =\"12946432\"]\n  3 -> 37 [size =\"12946432\"]\n  3 -> 39 [size =\"12946432\"]\n  3 -> 40 [size =\"12946432\"]\n  4 [size=\"47710208\", alpha=\"0.16\", expect_size=\"23855104\"] \n  4 -> 31 [size =\"23855104\"]\n  4 -> 37 [size =\"23855104\"]\n  4 -> 39 [size =\"23855104\"]\n  5 [size=\"30494720\", alpha=\"0.20\", expect_size=\"15247360\"] \n  5 -> 34 [size =\"15247360\"]\n  5 -> 37 [size =\"15247360\"]\n  6 [size=\"93173760\", alpha=\"0.18\", expect_size=\"46586880\"] \n  6 -> 32 [size =\"46586880\"]\n  6 -> 37 [size =\"46586880\"]\n  7 [size=\"94691328\", alpha=\"0.15\", expect_size=\"47345664\"] \n  7 -> 33 [size =\"47345664\"]\n  7 -> 34 [size =\"47345664\"]\n  7 -> 35 [size =\"47345664\"]\n  7 -> 39 [size =\"47345664\"]\n  8 [size=\"23474176\", alpha=\"0.08\", expect_size=\"11737088\"] \n  8 -> 31 [size =\"11737088\"]\n  8 -> 35 [size =\"11737088\"]\n  8 -> 36 [size =\"11737088\"]\n  9 [size=\"45056000\", alpha=\"0.12\", expect_size=\"22528000\"] \n  9 -> 31 [size =\"22528000\"]\n  9 -> 32 [size =\"22528000\"]\n  9 -> 35 [size =\"22528000\"]\n  9 -> 37 [size =\"22528000\"]\n  10 [size=\"57546752\", alpha=\"0.05\", expect_size=\"28773376\"] \n  10 -> 31 [size =\"28773376\"]\n  10 -> 34 [size =\"28773376\"]\n  10 -> 35 [size =\"28773376\"]\n  10 -> 36 [size =\"28773376\"]\n  10 -> 37 [size =\"28773376\"]\n  10 -> 40 [size =\"28773376\"]\n  11 [size=\"46389248\", alpha=\"0.10\", expect_size=\"23194624\"] \n  11 -> 33 [size =\"23194624\"]\n  11 -> 36 [size =\"23194624\"]\n  11 -> 37 [size =\"23194624\"]\n  11 -> 38 [size =\"23194624\"]\n  11 -> 40 [size =\"23194624\"]\n  12 [size=\"21209088\", alpha=\"0.02\", expect_size=\"10604544\"] \n  12 -> 36 [size =\"10604544\"]\n  12 -> 37 [size =\"10604544\"]\n  12 -> 37 [size =\"10604544\"]\n  12 -> 38 [size =\"10604544\"]\n  12 -> 40 [size =\"10604544\"]\n  13 [size=\"100896768\", alpha=\"0.12\", expect_size=\"50448384\"] \n  13 -> 37 [size =\"50448384\"]\n  14 [size=\"11479040\", alpha=\"0.07\", expect_size=\"5739520\"] \n  14 -> 31 [size =\"5739520\"]\n  14 -> 36 [size =\"5739520\"]\n  14 -> 37 [size =\"5739520\"]\n  14 -> 39 [size =\"5739520\"]\n  15 [size=\"86026240\", alpha=\"0.01\", expect_size=\"43013120\"] \n  15 -> 31 [size =\"43013120\"]\n  15 -> 33 [size =\"43013120\"]\n  15 -> 35 [size =\"43013120\"]\n  15 -> 39 [size =\"43013120\"]\n  16 [size=\"84232192\", alpha=\"0.02\", expect_size=\"42116096\"] \n  16 -> 31 [size =\"42116096\"]\n  16 -> 36 [size =\"42116096\"]\n  16 -> 39 [size =\"42116096\"]\n  16 -> 40 [size =\"42116096\"]\n  17 [size=\"76892160\", alpha=\"0.02\", expect_size=\"38446080\"] \n  17 -> 31 [size =\"38446080\"]\n  17 -> 34 [size =\"38446080\"]\n  17 -> 39 [size =\"38446080\"]\n  18 [size=\"51075072\", alpha=\"0.10\", expect_size=\"25537536\"] \n  18 -> 35 [size =\"25537536\"]\n  18 -> 36 [size =\"25537536\"]\n  18 -> 37 [size =\"25537536\"]\n  18 -> 38 [size =\"25537536\"]\n  18 -> 40 [size =\"25537536\"]\n  19 [size=\"86552576\", alpha=\"0.16\", expect_size=\"43276288\"] \n  19 -> 31 [size =\"43276288\"]\n  19 -> 35 [size =\"43276288\"]\n  19 -> 36 [size =\"43276288\"]\n  19 -> 37 [size =\"43276288\"]\n  19 -> 38 [size =\"43276288\"]\n  19 -> 39 [size =\"43276288\"]\n  19 -> 40 [size =\"43276288\"]\n  20 [size=\"49733632\", alpha=\"0.15\", expect_size=\"24866816\"] \n  20 -> 35 [size =\"24866816\"]\n  20 -> 35 [size =\"24866816\"]\n  20 -> 36 [size =\"24866816\"]\n  20 -> 39 [size =\"24866816\"]\n  21 [size=\"72480768\", alpha=\"0.03\", expect_size=\"36240384\"] \n  21 -> 35 [size =\"36240384\"]\n  21 -> 38 [size =\"36240384\"]\n  21 -> 39 [size =\"36240384\"]\n  22 [size=\"25587712\", alpha=\"0.07\", expect_size=\"12793856\"] \n  22 -> 31 [size =\"12793856\"]\n  22 -> 39 [size =\"12793856\"]\n  23 [size=\"37265408\", alpha=\"0.13\", expect_size=\"18632704\"] \n  23 -> 31 [size =\"18632704\"]\n  23 -> 36 [size =\"18632704\"]\n  24 [size=\"92672000\", alpha=\"0.07\", expect_size=\"46336000\"] \n  24 -> 38 [size =\"46336000\"]\n  25 [size=\"31375360\", alpha=\"0.05\", expect_size=\"15687680\"] \n  25 -> 36 [size =\"15687680\"]\n  25 -> 37 [size =\"15687680\"]\n  25 -> 38 [size =\"15687680\"]\n  25 -> 39 [size =\"15687680\"]\n  26 [size=\"35637248\", alpha=\"0.01\", expect_size=\"17818624\"] \n  26 -> 31 [size =\"17818624\"]\n  26 -> 36 [size =\"17818624\"]\n  26 -> 37 [size =\"17818624\"]\n  26 -> 38 [size =\"17818624\"]\n  26 -> 39 [size =\"17818624\"]\n  26 -> 40 [size =\"17818624\"]\n  27 [size=\"45465600\", alpha=\"0.15\", expect_size=\"22732800\"] \n  27 -> 31 [size =\"22732800\"]\n  28 [size=\"53258240\", alpha=\"0.12\", expect_size=\"26629120\"] \n  28 -> 33 [size =\"26629120\"]\n  28 -> 34 [size =\"26629120\"]\n  29 [size=\"100337664\", alpha=\"0.16\", expect_size=\"50168832\"] \n  29 -> 33 [size =\"50168832\"]\n  30 [size=\"79493120\", alpha=\"0.09\", expect_size=\"39746560\"] \n  30 -> 31 [size =\"39746560\"]\n  30 -> 34 [size =\"39746560\"]\n  30 -> 36 [size =\"39746560\"]\n  30 -> 37 [size =\"39746560\"]\n  30 -> 39 [size =\"39746560\"]\n  31 [size=\"57933824\", alpha=\"0.11\", expect_size=\"28966912\"] \n  32 [size=\"74424320\", alpha=\"0.15\", expect_size=\"37212160\"] \n  33 [size=\"10827776\", alpha=\"0.17\", expect_size=\"5413888\"] \n  34 [size=\"71294976\", alpha=\"0.01\", expect_size=\"35647488\"] \n  35 [size=\"104302592\", alpha=\"0.20\", expect_size=\"52151296\"] \n  36 [size=\"35493888\", alpha=\"0.14\", expect_size=\"17746944\"] \n  37 [size=\"41926656\", alpha=\"0.03\", expect_size=\"20963328\"] \n  38 [size=\"19062784\", alpha=\"0.01\", expect_size=\"9531392\"] \n  39 [size=\"74266624\", alpha=\"0.14\", expect_size=\"37133312\"] \n  40 [size=\"53364736\", alpha=\"0.16\", expect_size=\"26682368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86784000\", alpha=\"0.08\", expect_size=\"34713600\"] \n  1 -> 5 [size =\"34713600\"]\n  2 [size=\"126123520\", alpha=\"0.01\", expect_size=\"50449408\"] \n  2 -> 3 [size =\"50449408\"]\n  2 -> 4 [size =\"50449408\"]\n  3 [size=\"25121280\", alpha=\"0.08\", expect_size=\"10048512\"] \n  3 -> 6 [size =\"10048512\"]\n  3 -> 7 [size =\"10048512\"]\n  4 [size=\"59494400\", alpha=\"0.16\", expect_size=\"23797760\"] \n  4 -> 6 [size =\"23797760\"]\n  4 -> 8 [size =\"23797760\"]\n  5 [size=\"94766080\", alpha=\"0.03\", expect_size=\"37906432\"] \n  5 -> 8 [size =\"37906432\"]\n  6 [size=\"42513920\", alpha=\"0.17\", expect_size=\"17005568\"] \n  6 -> 9 [size =\"17005568\"]\n  7 [size=\"103918080\", alpha=\"0.09\", expect_size=\"41567232\"] \n  7 -> 9 [size =\"41567232\"]\n  7 -> 10 [size =\"41567232\"]\n  8 [size=\"67950080\", alpha=\"0.18\", expect_size=\"27180032\"] \n  9 [size=\"42065920\", alpha=\"0.10\", expect_size=\"16826368\"] \n  10 [size=\"127685120\", alpha=\"0.08\", expect_size=\"51074048\"] \n  10 -> 11 [size =\"51074048\"]\n  10 -> 12 [size =\"51074048\"]\n  10 -> 13 [size =\"51074048\"]\n  11 [size=\"92802560\", alpha=\"0.05\", expect_size=\"37121024\"] \n  11 -> 14 [size =\"37121024\"]\n  11 -> 15 [size =\"37121024\"]\n  12 [size=\"23861760\", alpha=\"0.10\", expect_size=\"9544704\"] \n  12 -> 15 [size =\"9544704\"]\n  12 -> 16 [size =\"9544704\"]\n  13 [size=\"29757440\", alpha=\"0.13\", expect_size=\"11902976\"] \n  14 [size=\"76410880\", alpha=\"0.00\", expect_size=\"30564352\"] \n  14 -> 17 [size =\"30564352\"]\n  14 -> 18 [size =\"30564352\"]\n  14 -> 19 [size =\"30564352\"]\n  15 [size=\"53355520\", alpha=\"0.07\", expect_size=\"21342208\"] \n  15 -> 17 [size =\"21342208\"]\n  15 -> 18 [size =\"21342208\"]\n  15 -> 19 [size =\"21342208\"]\n  16 [size=\"70912000\", alpha=\"0.20\", expect_size=\"28364800\"] \n  17 [size=\"54548480\", alpha=\"0.02\", expect_size=\"21819392\"] \n  17 -> 21 [size =\"21819392\"]\n  18 [size=\"109747200\", alpha=\"0.00\", expect_size=\"43898880\"] \n  18 -> 20 [size =\"43898880\"]\n  19 [size=\"99005440\", alpha=\"0.11\", expect_size=\"39602176\"] \n  19 -> 21 [size =\"39602176\"]\n  20 [size=\"38640640\", alpha=\"0.14\", expect_size=\"15456256\"] \n  20 -> 22 [size =\"15456256\"]\n  20 -> 23 [size =\"15456256\"]\n  20 -> 24 [size =\"15456256\"]\n  21 [size=\"84789760\", alpha=\"0.10\", expect_size=\"33915904\"] \n  22 [size=\"113912320\", alpha=\"0.04\", expect_size=\"45564928\"] \n  23 [size=\"55695360\", alpha=\"0.01\", expect_size=\"22278144\"] \n  23 -> 25 [size =\"22278144\"]\n  23 -> 26 [size =\"22278144\"]\n  23 -> 27 [size =\"22278144\"]\n  24 [size=\"15004160\", alpha=\"0.05\", expect_size=\"6001664\"] \n  24 -> 25 [size =\"6001664\"]\n  25 [size=\"16112640\", alpha=\"0.03\", expect_size=\"6445056\"] \n  25 -> 28 [size =\"6445056\"]\n  25 -> 29 [size =\"6445056\"]\n  26 [size=\"54801920\", alpha=\"0.07\", expect_size=\"21920768\"] \n  27 [size=\"54686720\", alpha=\"0.05\", expect_size=\"21874688\"] \n  27 -> 29 [size =\"21874688\"]\n  27 -> 30 [size =\"21874688\"]\n  28 [size=\"63864320\", alpha=\"0.13\", expect_size=\"25545728\"] \n  28 -> 33 [size =\"25545728\"]\n  29 [size=\"64527360\", alpha=\"0.06\", expect_size=\"25810944\"] \n  30 [size=\"14243840\", alpha=\"0.18\", expect_size=\"5697536\"] \n  30 -> 31 [size =\"5697536\"]\n  30 -> 32 [size =\"5697536\"]\n  30 -> 33 [size =\"5697536\"]\n  31 [size=\"98803200\", alpha=\"0.04\", expect_size=\"39521280\"] \n  31 -> 34 [size =\"39521280\"]\n  31 -> 36 [size =\"39521280\"]\n  32 [size=\"37985280\", alpha=\"0.12\", expect_size=\"15194112\"] \n  32 -> 35 [size =\"15194112\"]\n  32 -> 36 [size =\"15194112\"]\n  33 [size=\"62776320\", alpha=\"0.02\", expect_size=\"25110528\"] \n  34 [size=\"67225600\", alpha=\"0.03\", expect_size=\"26890240\"] \n  34 -> 37 [size =\"26890240\"]\n  35 [size=\"97722880\", alpha=\"0.11\", expect_size=\"39089152\"] \n  35 -> 38 [size =\"39089152\"]\n  35 -> 39 [size =\"39089152\"]\n  36 [size=\"117964800\", alpha=\"0.09\", expect_size=\"47185920\"] \n  36 -> 38 [size =\"47185920\"]\n  37 [size=\"39393280\", alpha=\"0.14\", expect_size=\"15757312\"] \n  37 -> 40 [size =\"15757312\"]\n  38 [size=\"70789120\", alpha=\"0.15\", expect_size=\"28315648\"] \n  39 [size=\"31063040\", alpha=\"0.11\", expect_size=\"12425216\"] \n  40 [size=\"67143680\", alpha=\"0.11\", expect_size=\"26857472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93987840\", alpha=\"0.03\", expect_size=\"37595136\"] \n  1 -> 6 [size =\"37595136\"]\n  2 [size=\"114772480\", alpha=\"0.17\", expect_size=\"45908992\"] \n  2 -> 6 [size =\"45908992\"]\n  2 -> 7 [size =\"45908992\"]\n  2 -> 10 [size =\"45908992\"]\n  3 [size=\"92979200\", alpha=\"0.06\", expect_size=\"37191680\"] \n  3 -> 6 [size =\"37191680\"]\n  3 -> 8 [size =\"37191680\"]\n  3 -> 9 [size =\"37191680\"]\n  3 -> 10 [size =\"37191680\"]\n  4 [size=\"66810880\", alpha=\"0.18\", expect_size=\"26724352\"] \n  4 -> 6 [size =\"26724352\"]\n  4 -> 7 [size =\"26724352\"]\n  4 -> 8 [size =\"26724352\"]\n  4 -> 10 [size =\"26724352\"]\n  5 [size=\"62248960\", alpha=\"0.15\", expect_size=\"24899584\"] \n  5 -> 6 [size =\"24899584\"]\n  6 [size=\"127751680\", alpha=\"0.08\", expect_size=\"51100672\"] \n  6 -> 12 [size =\"51100672\"]\n  6 -> 14 [size =\"51100672\"]\n  6 -> 15 [size =\"51100672\"]\n  6 -> 16 [size =\"51100672\"]\n  7 [size=\"71823360\", alpha=\"0.15\", expect_size=\"28729344\"] \n  7 -> 15 [size =\"28729344\"]\n  7 -> 16 [size =\"28729344\"]\n  8 [size=\"17920000\", alpha=\"0.00\", expect_size=\"7168000\"] \n  8 -> 11 [size =\"7168000\"]\n  8 -> 14 [size =\"7168000\"]\n  8 -> 16 [size =\"7168000\"]\n  9 [size=\"61217280\", alpha=\"0.15\", expect_size=\"24486912\"] \n  9 -> 13 [size =\"24486912\"]\n  9 -> 15 [size =\"24486912\"]\n  10 [size=\"125335040\", alpha=\"0.18\", expect_size=\"50134016\"] \n  10 -> 12 [size =\"50134016\"]\n  10 -> 15 [size =\"50134016\"]\n  10 -> 16 [size =\"50134016\"]\n  11 [size=\"31221760\", alpha=\"0.16\", expect_size=\"12488704\"] \n  11 -> 17 [size =\"12488704\"]\n  11 -> 18 [size =\"12488704\"]\n  11 -> 19 [size =\"12488704\"]\n  11 -> 20 [size =\"12488704\"]\n  11 -> 21 [size =\"12488704\"]\n  11 -> 22 [size =\"12488704\"]\n  12 [size=\"46504960\", alpha=\"0.08\", expect_size=\"18601984\"] \n  12 -> 17 [size =\"18601984\"]\n  12 -> 20 [size =\"18601984\"]\n  13 [size=\"28723200\", alpha=\"0.16\", expect_size=\"11489280\"] \n  13 -> 17 [size =\"11489280\"]\n  14 [size=\"62133760\", alpha=\"0.17\", expect_size=\"24853504\"] \n  14 -> 17 [size =\"24853504\"]\n  14 -> 18 [size =\"24853504\"]\n  14 -> 19 [size =\"24853504\"]\n  15 [size=\"50135040\", alpha=\"0.06\", expect_size=\"20054016\"] \n  15 -> 17 [size =\"20054016\"]\n  15 -> 20 [size =\"20054016\"]\n  15 -> 21 [size =\"20054016\"]\n  16 [size=\"18012160\", alpha=\"0.02\", expect_size=\"7204864\"] \n  16 -> 17 [size =\"7204864\"]\n  16 -> 18 [size =\"7204864\"]\n  16 -> 20 [size =\"7204864\"]\n  17 [size=\"64857600\", alpha=\"0.07\", expect_size=\"25943040\"] \n  17 -> 23 [size =\"25943040\"]\n  17 -> 24 [size =\"25943040\"]\n  17 -> 26 [size =\"25943040\"]\n  18 [size=\"34805760\", alpha=\"0.05\", expect_size=\"13922304\"] \n  18 -> 23 [size =\"13922304\"]\n  18 -> 24 [size =\"13922304\"]\n  18 -> 25 [size =\"13922304\"]\n  18 -> 26 [size =\"13922304\"]\n  18 -> 28 [size =\"13922304\"]\n  19 [size=\"35450880\", alpha=\"0.14\", expect_size=\"14180352\"] \n  19 -> 23 [size =\"14180352\"]\n  19 -> 24 [size =\"14180352\"]\n  19 -> 26 [size =\"14180352\"]\n  19 -> 26 [size =\"14180352\"]\n  19 -> 27 [size =\"14180352\"]\n  20 [size=\"122818560\", alpha=\"0.20\", expect_size=\"49127424\"] \n  20 -> 23 [size =\"49127424\"]\n  20 -> 24 [size =\"49127424\"]\n  20 -> 28 [size =\"49127424\"]\n  21 [size=\"110556160\", alpha=\"0.20\", expect_size=\"44222464\"] \n  21 -> 23 [size =\"44222464\"]\n  21 -> 24 [size =\"44222464\"]\n  21 -> 25 [size =\"44222464\"]\n  21 -> 26 [size =\"44222464\"]\n  21 -> 27 [size =\"44222464\"]\n  22 [size=\"87106560\", alpha=\"0.16\", expect_size=\"34842624\"] \n  22 -> 23 [size =\"34842624\"]\n  22 -> 24 [size =\"34842624\"]\n  22 -> 26 [size =\"34842624\"]\n  22 -> 27 [size =\"34842624\"]\n  23 [size=\"18183680\", alpha=\"0.07\", expect_size=\"7273472\"] \n  23 -> 29 [size =\"7273472\"]\n  23 -> 33 [size =\"7273472\"]\n  24 [size=\"113820160\", alpha=\"0.06\", expect_size=\"45528064\"] \n  24 -> 29 [size =\"45528064\"]\n  24 -> 32 [size =\"45528064\"]\n  25 [size=\"95575040\", alpha=\"0.14\", expect_size=\"38230016\"] \n  25 -> 29 [size =\"38230016\"]\n  25 -> 30 [size =\"38230016\"]\n  25 -> 31 [size =\"38230016\"]\n  25 -> 32 [size =\"38230016\"]\n  26 [size=\"15424000\", alpha=\"0.01\", expect_size=\"6169600\"] \n  26 -> 30 [size =\"6169600\"]\n  26 -> 30 [size =\"6169600\"]\n  26 -> 31 [size =\"6169600\"]\n  26 -> 32 [size =\"6169600\"]\n  26 -> 33 [size =\"6169600\"]\n  27 [size=\"28794880\", alpha=\"0.19\", expect_size=\"11517952\"] \n  27 -> 29 [size =\"11517952\"]\n  27 -> 31 [size =\"11517952\"]\n  27 -> 31 [size =\"11517952\"]\n  27 -> 33 [size =\"11517952\"]\n  27 -> 34 [size =\"11517952\"]\n  28 [size=\"72343040\", alpha=\"0.17\", expect_size=\"28937216\"] \n  28 -> 30 [size =\"28937216\"]\n  28 -> 31 [size =\"28937216\"]\n  28 -> 33 [size =\"28937216\"]\n  29 [size=\"99164160\", alpha=\"0.03\", expect_size=\"39665664\"] \n  29 -> 35 [size =\"39665664\"]\n  29 -> 39 [size =\"39665664\"]\n  30 [size=\"63603200\", alpha=\"0.08\", expect_size=\"25441280\"] \n  31 [size=\"62970880\", alpha=\"0.17\", expect_size=\"25188352\"] \n  31 -> 36 [size =\"25188352\"]\n  31 -> 37 [size =\"25188352\"]\n  32 [size=\"60175360\", alpha=\"0.11\", expect_size=\"24070144\"] \n  32 -> 37 [size =\"24070144\"]\n  32 -> 39 [size =\"24070144\"]\n  33 [size=\"38927360\", alpha=\"0.07\", expect_size=\"15570944\"] \n  33 -> 37 [size =\"15570944\"]\n  34 [size=\"79096320\", alpha=\"0.12\", expect_size=\"31638528\"] \n  34 -> 37 [size =\"31638528\"]\n  34 -> 38 [size =\"31638528\"]\n  35 [size=\"116421120\", alpha=\"0.03\", expect_size=\"46568448\"] \n  35 -> 40 [size =\"46568448\"]\n  36 [size=\"82081280\", alpha=\"0.15\", expect_size=\"32832512\"] \n  37 [size=\"90721280\", alpha=\"0.16\", expect_size=\"36288512\"] \n  37 -> 40 [size =\"36288512\"]\n  38 [size=\"83097600\", alpha=\"0.01\", expect_size=\"33239040\"] \n  38 -> 40 [size =\"33239040\"]\n  39 [size=\"64025600\", alpha=\"0.09\", expect_size=\"25610240\"] \n  39 -> 40 [size =\"25610240\"]\n  40 [size=\"81612800\", alpha=\"0.16\", expect_size=\"32645120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123530240\", alpha=\"0.12\", expect_size=\"49412096\"] \n  1 -> 3 [size =\"49412096\"]\n  1 -> 4 [size =\"49412096\"]\n  1 -> 5 [size =\"49412096\"]\n  2 [size=\"34995200\", alpha=\"0.01\", expect_size=\"13998080\"] \n  2 -> 3 [size =\"13998080\"]\n  2 -> 5 [size =\"13998080\"]\n  3 [size=\"87101440\", alpha=\"0.16\", expect_size=\"34840576\"] \n  3 -> 6 [size =\"34840576\"]\n  3 -> 8 [size =\"34840576\"]\n  4 [size=\"38133760\", alpha=\"0.20\", expect_size=\"15253504\"] \n  4 -> 6 [size =\"15253504\"]\n  4 -> 7 [size =\"15253504\"]\n  4 -> 8 [size =\"15253504\"]\n  5 [size=\"103093760\", alpha=\"0.01\", expect_size=\"41237504\"] \n  5 -> 6 [size =\"41237504\"]\n  6 [size=\"48424960\", alpha=\"0.12\", expect_size=\"19369984\"] \n  6 -> 10 [size =\"19369984\"]\n  6 -> 11 [size =\"19369984\"]\n  7 [size=\"104143360\", alpha=\"0.13\", expect_size=\"41657344\"] \n  7 -> 9 [size =\"41657344\"]\n  8 [size=\"48483840\", alpha=\"0.19\", expect_size=\"19393536\"] \n  8 -> 9 [size =\"19393536\"]\n  8 -> 11 [size =\"19393536\"]\n  9 [size=\"59668480\", alpha=\"0.07\", expect_size=\"23867392\"] \n  9 -> 12 [size =\"23867392\"]\n  9 -> 13 [size =\"23867392\"]\n  10 [size=\"118924800\", alpha=\"0.18\", expect_size=\"47569920\"] \n  10 -> 12 [size =\"47569920\"]\n  10 -> 13 [size =\"47569920\"]\n  11 [size=\"26173440\", alpha=\"0.04\", expect_size=\"10469376\"] \n  11 -> 12 [size =\"10469376\"]\n  11 -> 13 [size =\"10469376\"]\n  12 [size=\"94246400\", alpha=\"0.08\", expect_size=\"37698560\"] \n  12 -> 14 [size =\"37698560\"]\n  12 -> 15 [size =\"37698560\"]\n  13 [size=\"99724800\", alpha=\"0.05\", expect_size=\"39889920\"] \n  13 -> 14 [size =\"39889920\"]\n  13 -> 15 [size =\"39889920\"]\n  14 [size=\"76526080\", alpha=\"0.16\", expect_size=\"30610432\"] \n  14 -> 16 [size =\"30610432\"]\n  14 -> 17 [size =\"30610432\"]\n  15 [size=\"75540480\", alpha=\"0.05\", expect_size=\"30216192\"] \n  15 -> 16 [size =\"30216192\"]\n  15 -> 17 [size =\"30216192\"]\n  16 [size=\"82373120\", alpha=\"0.07\", expect_size=\"32949248\"] \n  16 -> 18 [size =\"32949248\"]\n  16 -> 20 [size =\"32949248\"]\n  17 [size=\"35430400\", alpha=\"0.11\", expect_size=\"14172160\"] \n  17 -> 18 [size =\"14172160\"]\n  17 -> 19 [size =\"14172160\"]\n  18 [size=\"114296320\", alpha=\"0.03\", expect_size=\"45718528\"] \n  18 -> 21 [size =\"45718528\"]\n  19 [size=\"111045120\", alpha=\"0.16\", expect_size=\"44418048\"] \n  19 -> 22 [size =\"44418048\"]\n  20 [size=\"33546240\", alpha=\"0.03\", expect_size=\"13418496\"] \n  20 -> 22 [size =\"13418496\"]\n  21 [size=\"19194880\", alpha=\"0.08\", expect_size=\"7677952\"] \n  21 -> 23 [size =\"7677952\"]\n  21 -> 24 [size =\"7677952\"]\n  22 [size=\"44272640\", alpha=\"0.17\", expect_size=\"17709056\"] \n  22 -> 23 [size =\"17709056\"]\n  22 -> 24 [size =\"17709056\"]\n  23 [size=\"92702720\", alpha=\"0.18\", expect_size=\"37081088\"] \n  23 -> 25 [size =\"37081088\"]\n  23 -> 26 [size =\"37081088\"]\n  24 [size=\"121981440\", alpha=\"0.04\", expect_size=\"48792576\"] \n  24 -> 25 [size =\"48792576\"]\n  24 -> 26 [size =\"48792576\"]\n  25 [size=\"100008960\", alpha=\"0.05\", expect_size=\"40003584\"] \n  25 -> 27 [size =\"40003584\"]\n  25 -> 28 [size =\"40003584\"]\n  26 [size=\"14359040\", alpha=\"0.12\", expect_size=\"5743616\"] \n  26 -> 27 [size =\"5743616\"]\n  26 -> 28 [size =\"5743616\"]\n  27 [size=\"56348160\", alpha=\"0.14\", expect_size=\"22539264\"] \n  27 -> 29 [size =\"22539264\"]\n  27 -> 30 [size =\"22539264\"]\n  28 [size=\"123591680\", alpha=\"0.03\", expect_size=\"49436672\"] \n  28 -> 29 [size =\"49436672\"]\n  28 -> 30 [size =\"49436672\"]\n  29 [size=\"25717760\", alpha=\"0.19\", expect_size=\"10287104\"] \n  29 -> 31 [size =\"10287104\"]\n  29 -> 33 [size =\"10287104\"]\n  30 [size=\"121748480\", alpha=\"0.13\", expect_size=\"48699392\"] \n  30 -> 31 [size =\"48699392\"]\n  30 -> 32 [size =\"48699392\"]\n  30 -> 33 [size =\"48699392\"]\n  31 [size=\"20096000\", alpha=\"0.10\", expect_size=\"8038400\"] \n  31 -> 34 [size =\"8038400\"]\n  31 -> 35 [size =\"8038400\"]\n  32 [size=\"67115520\", alpha=\"0.20\", expect_size=\"26846208\"] \n  32 -> 34 [size =\"26846208\"]\n  32 -> 35 [size =\"26846208\"]\n  33 [size=\"48765440\", alpha=\"0.05\", expect_size=\"19506176\"] \n  33 -> 35 [size =\"19506176\"]\n  33 -> 36 [size =\"19506176\"]\n  34 [size=\"39045120\", alpha=\"0.00\", expect_size=\"15618048\"] \n  34 -> 39 [size =\"15618048\"]\n  35 [size=\"62976000\", alpha=\"0.07\", expect_size=\"25190400\"] \n  35 -> 38 [size =\"25190400\"]\n  35 -> 39 [size =\"25190400\"]\n  36 [size=\"92584960\", alpha=\"0.05\", expect_size=\"37033984\"] \n  36 -> 37 [size =\"37033984\"]\n  37 [size=\"45227520\", alpha=\"0.06\", expect_size=\"18091008\"] \n  37 -> 40 [size =\"18091008\"]\n  38 [size=\"129902080\", alpha=\"0.05\", expect_size=\"51960832\"] \n  38 -> 40 [size =\"51960832\"]\n  39 [size=\"28093440\", alpha=\"0.01\", expect_size=\"11237376\"] \n  39 -> 40 [size =\"11237376\"]\n  40 [size=\"22292480\", alpha=\"0.20\", expect_size=\"8916992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108137813\", alpha=\"0.14\", expect_size=\"32441344\"] \n  1 -> 4 [size =\"32441344\"]\n  1 -> 5 [size =\"32441344\"]\n  2 [size=\"159057920\", alpha=\"0.06\", expect_size=\"47717376\"] \n  2 -> 3 [size =\"47717376\"]\n  2 -> 5 [size =\"47717376\"]\n  3 [size=\"167133867\", alpha=\"0.06\", expect_size=\"50140160\"] \n  3 -> 7 [size =\"50140160\"]\n  4 [size=\"58593280\", alpha=\"0.19\", expect_size=\"17577984\"] \n  4 -> 8 [size =\"17577984\"]\n  5 [size=\"123835733\", alpha=\"0.04\", expect_size=\"37150720\"] \n  5 -> 6 [size =\"37150720\"]\n  5 -> 7 [size =\"37150720\"]\n  6 [size=\"168355840\", alpha=\"0.18\", expect_size=\"50506752\"] \n  7 [size=\"40082773\", alpha=\"0.10\", expect_size=\"12024832\"] \n  7 -> 9 [size =\"12024832\"]\n  7 -> 10 [size =\"12024832\"]\n  8 [size=\"85490347\", alpha=\"0.10\", expect_size=\"25647104\"] \n  8 -> 10 [size =\"25647104\"]\n  9 [size=\"159965867\", alpha=\"0.17\", expect_size=\"47989760\"] \n  9 -> 11 [size =\"47989760\"]\n  10 [size=\"108625920\", alpha=\"0.11\", expect_size=\"32587776\"] \n  10 -> 12 [size =\"32587776\"]\n  10 -> 13 [size =\"32587776\"]\n  11 [size=\"101567147\", alpha=\"0.10\", expect_size=\"30470144\"] \n  11 -> 16 [size =\"30470144\"]\n  12 [size=\"57760427\", alpha=\"0.06\", expect_size=\"17328128\"] \n  12 -> 15 [size =\"17328128\"]\n  12 -> 16 [size =\"17328128\"]\n  13 [size=\"106130773\", alpha=\"0.14\", expect_size=\"31839232\"] \n  13 -> 14 [size =\"31839232\"]\n  13 -> 15 [size =\"31839232\"]\n  14 [size=\"153040213\", alpha=\"0.06\", expect_size=\"45912064\"] \n  14 -> 17 [size =\"45912064\"]\n  15 [size=\"146479787\", alpha=\"0.04\", expect_size=\"43943936\"] \n  15 -> 18 [size =\"43943936\"]\n  16 [size=\"19759787\", alpha=\"0.19\", expect_size=\"5927936\"] \n  16 -> 17 [size =\"5927936\"]\n  16 -> 18 [size =\"5927936\"]\n  17 [size=\"164741120\", alpha=\"0.11\", expect_size=\"49422336\"] \n  18 [size=\"85442560\", alpha=\"0.05\", expect_size=\"25632768\"] \n  18 -> 19 [size =\"25632768\"]\n  18 -> 20 [size =\"25632768\"]\n  19 [size=\"163041280\", alpha=\"0.02\", expect_size=\"48912384\"] \n  19 -> 21 [size =\"48912384\"]\n  19 -> 22 [size =\"48912384\"]\n  20 [size=\"141175467\", alpha=\"0.00\", expect_size=\"42352640\"] \n  20 -> 22 [size =\"42352640\"]\n  20 -> 23 [size =\"42352640\"]\n  21 [size=\"66471253\", alpha=\"0.11\", expect_size=\"19941376\"] \n  21 -> 24 [size =\"19941376\"]\n  22 [size=\"143540907\", alpha=\"0.19\", expect_size=\"43062272\"] \n  23 [size=\"36672853\", alpha=\"0.06\", expect_size=\"11001856\"] \n  23 -> 25 [size =\"11001856\"]\n  24 [size=\"145240747\", alpha=\"0.18\", expect_size=\"43572224\"] \n  24 -> 26 [size =\"43572224\"]\n  24 -> 27 [size =\"43572224\"]\n  25 [size=\"38597973\", alpha=\"0.04\", expect_size=\"11579392\"] \n  25 -> 27 [size =\"11579392\"]\n  26 [size=\"72004267\", alpha=\"0.09\", expect_size=\"21601280\"] \n  26 -> 28 [size =\"21601280\"]\n  26 -> 29 [size =\"21601280\"]\n  27 [size=\"66536107\", alpha=\"0.17\", expect_size=\"19960832\"] \n  28 [size=\"154327040\", alpha=\"0.14\", expect_size=\"46298112\"] \n  28 -> 30 [size =\"46298112\"]\n  28 -> 31 [size =\"46298112\"]\n  28 -> 32 [size =\"46298112\"]\n  29 [size=\"39342080\", alpha=\"0.09\", expect_size=\"11802624\"] \n  30 [size=\"53975040\", alpha=\"0.15\", expect_size=\"16192512\"] \n  30 -> 33 [size =\"16192512\"]\n  30 -> 34 [size =\"16192512\"]\n  31 [size=\"57511253\", alpha=\"0.12\", expect_size=\"17253376\"] \n  31 -> 33 [size =\"17253376\"]\n  31 -> 34 [size =\"17253376\"]\n  32 [size=\"140615680\", alpha=\"0.14\", expect_size=\"42184704\"] \n  33 [size=\"130297173\", alpha=\"0.07\", expect_size=\"39089152\"] \n  34 [size=\"18933760\", alpha=\"0.18\", expect_size=\"5680128\"] \n  34 -> 35 [size =\"5680128\"]\n  34 -> 36 [size =\"5680128\"]\n  34 -> 37 [size =\"5680128\"]\n  35 [size=\"162211840\", alpha=\"0.05\", expect_size=\"48663552\"] \n  35 -> 38 [size =\"48663552\"]\n  36 [size=\"37348693\", alpha=\"0.12\", expect_size=\"11204608\"] \n  36 -> 39 [size =\"11204608\"]\n  36 -> 40 [size =\"11204608\"]\n  37 [size=\"109800107\", alpha=\"0.19\", expect_size=\"32940032\"] \n  38 [size=\"87596373\", alpha=\"0.13\", expect_size=\"26278912\"] \n  39 [size=\"38761813\", alpha=\"0.06\", expect_size=\"11628544\"] \n  40 [size=\"105779200\", alpha=\"0.15\", expect_size=\"31733760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46556160\", alpha=\"0.00\", expect_size=\"18622464\"] \n  1 -> 2 [size =\"18622464\"]\n  2 [size=\"42496000\", alpha=\"0.13\", expect_size=\"16998400\"] \n  2 -> 3 [size =\"16998400\"]\n  3 [size=\"85150720\", alpha=\"0.02\", expect_size=\"34060288\"] \n  3 -> 4 [size =\"34060288\"]\n  4 [size=\"37084160\", alpha=\"0.01\", expect_size=\"14833664\"] \n  4 -> 5 [size =\"14833664\"]\n  5 [size=\"24980480\", alpha=\"0.03\", expect_size=\"9992192\"] \n  5 -> 6 [size =\"9992192\"]\n  6 [size=\"111674880\", alpha=\"0.03\", expect_size=\"44669952\"] \n  6 -> 7 [size =\"44669952\"]\n  7 [size=\"90675200\", alpha=\"0.03\", expect_size=\"36270080\"] \n  7 -> 8 [size =\"36270080\"]\n  8 [size=\"19100160\", alpha=\"0.06\", expect_size=\"7640064\"] \n  8 -> 9 [size =\"7640064\"]\n  9 [size=\"103895040\", alpha=\"0.04\", expect_size=\"41558016\"] \n  9 -> 10 [size =\"41558016\"]\n  10 [size=\"130539520\", alpha=\"0.05\", expect_size=\"52215808\"] \n  10 -> 11 [size =\"52215808\"]\n  11 [size=\"109772800\", alpha=\"0.19\", expect_size=\"43909120\"] \n  11 -> 12 [size =\"43909120\"]\n  12 [size=\"110108160\", alpha=\"0.06\", expect_size=\"44043264\"] \n  12 -> 13 [size =\"44043264\"]\n  13 [size=\"67054080\", alpha=\"0.02\", expect_size=\"26821632\"] \n  13 -> 14 [size =\"26821632\"]\n  14 [size=\"80089600\", alpha=\"0.12\", expect_size=\"32035840\"] \n  14 -> 15 [size =\"32035840\"]\n  15 [size=\"87667200\", alpha=\"0.19\", expect_size=\"35066880\"] \n  15 -> 16 [size =\"35066880\"]\n  16 [size=\"105413120\", alpha=\"0.10\", expect_size=\"42165248\"] \n  16 -> 17 [size =\"42165248\"]\n  17 [size=\"125591040\", alpha=\"0.18\", expect_size=\"50236416\"] \n  17 -> 18 [size =\"50236416\"]\n  18 [size=\"25640960\", alpha=\"0.12\", expect_size=\"10256384\"] \n  18 -> 19 [size =\"10256384\"]\n  19 [size=\"62935040\", alpha=\"0.19\", expect_size=\"25174016\"] \n  19 -> 20 [size =\"25174016\"]\n  20 [size=\"84139520\", alpha=\"0.09\", expect_size=\"33655808\"] \n  20 -> 21 [size =\"33655808\"]\n  21 [size=\"112673280\", alpha=\"0.04\", expect_size=\"45069312\"] \n  21 -> 22 [size =\"45069312\"]\n  22 [size=\"103859200\", alpha=\"0.05\", expect_size=\"41543680\"] \n  22 -> 23 [size =\"41543680\"]\n  23 [size=\"21847040\", alpha=\"0.18\", expect_size=\"8738816\"] \n  23 -> 24 [size =\"8738816\"]\n  24 [size=\"34688000\", alpha=\"0.15\", expect_size=\"13875200\"] \n  24 -> 25 [size =\"13875200\"]\n  25 [size=\"107735040\", alpha=\"0.14\", expect_size=\"43094016\"] \n  25 -> 26 [size =\"43094016\"]\n  26 [size=\"103738880\", alpha=\"0.09\", expect_size=\"41495552\"] \n  26 -> 27 [size =\"41495552\"]\n  27 [size=\"45808640\", alpha=\"0.18\", expect_size=\"18323456\"] \n  27 -> 28 [size =\"18323456\"]\n  28 [size=\"32194560\", alpha=\"0.08\", expect_size=\"12877824\"] \n  28 -> 29 [size =\"12877824\"]\n  29 [size=\"101534720\", alpha=\"0.13\", expect_size=\"40613888\"] \n  29 -> 30 [size =\"40613888\"]\n  30 [size=\"94123520\", alpha=\"0.18\", expect_size=\"37649408\"] \n  30 -> 31 [size =\"37649408\"]\n  31 [size=\"27596800\", alpha=\"0.20\", expect_size=\"11038720\"] \n  31 -> 32 [size =\"11038720\"]\n  32 [size=\"53370880\", alpha=\"0.18\", expect_size=\"21348352\"] \n  32 -> 33 [size =\"21348352\"]\n  33 [size=\"82872320\", alpha=\"0.05\", expect_size=\"33148928\"] \n  33 -> 34 [size =\"33148928\"]\n  34 [size=\"70177280\", alpha=\"0.03\", expect_size=\"28070912\"] \n  34 -> 35 [size =\"28070912\"]\n  35 [size=\"39270400\", alpha=\"0.14\", expect_size=\"15708160\"] \n  35 -> 36 [size =\"15708160\"]\n  36 [size=\"119987200\", alpha=\"0.01\", expect_size=\"47994880\"] \n  36 -> 37 [size =\"47994880\"]\n  37 [size=\"57003520\", alpha=\"0.07\", expect_size=\"22801408\"] \n  37 -> 38 [size =\"22801408\"]\n  38 [size=\"45854720\", alpha=\"0.15\", expect_size=\"18341888\"] \n  38 -> 39 [size =\"18341888\"]\n  39 [size=\"92536320\", alpha=\"0.11\", expect_size=\"37014528\"] \n  39 -> 40 [size =\"37014528\"]\n  40 [size=\"51906560\", alpha=\"0.20\", expect_size=\"20762624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84862976\", alpha=\"0.06\", expect_size=\"42431488\"] \n  1 -> 7 [size =\"42431488\"]\n  2 [size=\"70842368\", alpha=\"0.15\", expect_size=\"35421184\"] \n  2 -> 7 [size =\"35421184\"]\n  2 -> 8 [size =\"35421184\"]\n  2 -> 10 [size =\"35421184\"]\n  2 -> 12 [size =\"35421184\"]\n  3 [size=\"38678528\", alpha=\"0.16\", expect_size=\"19339264\"] \n  3 -> 10 [size =\"19339264\"]\n  4 [size=\"37541888\", alpha=\"0.10\", expect_size=\"18770944\"] \n  5 [size=\"60362752\", alpha=\"0.00\", expect_size=\"30181376\"] \n  5 -> 8 [size =\"30181376\"]\n  5 -> 9 [size =\"30181376\"]\n  5 -> 11 [size =\"30181376\"]\n  6 [size=\"33173504\", alpha=\"0.04\", expect_size=\"16586752\"] \n  7 [size=\"24860672\", alpha=\"0.04\", expect_size=\"12430336\"] \n  7 -> 14 [size =\"12430336\"]\n  7 -> 19 [size =\"12430336\"]\n  8 [size=\"59115520\", alpha=\"0.03\", expect_size=\"29557760\"] \n  8 -> 14 [size =\"29557760\"]\n  8 -> 15 [size =\"29557760\"]\n  8 -> 16 [size =\"29557760\"]\n  8 -> 17 [size =\"29557760\"]\n  9 [size=\"31834112\", alpha=\"0.01\", expect_size=\"15917056\"] \n  9 -> 15 [size =\"15917056\"]\n  9 -> 16 [size =\"15917056\"]\n  9 -> 18 [size =\"15917056\"]\n  10 [size=\"27885568\", alpha=\"0.10\", expect_size=\"13942784\"] \n  10 -> 13 [size =\"13942784\"]\n  10 -> 14 [size =\"13942784\"]\n  10 -> 15 [size =\"13942784\"]\n  10 -> 17 [size =\"13942784\"]\n  10 -> 18 [size =\"13942784\"]\n  11 [size=\"96288768\", alpha=\"0.14\", expect_size=\"48144384\"] \n  11 -> 13 [size =\"48144384\"]\n  11 -> 14 [size =\"48144384\"]\n  11 -> 16 [size =\"48144384\"]\n  12 [size=\"30490624\", alpha=\"0.14\", expect_size=\"15245312\"] \n  12 -> 13 [size =\"15245312\"]\n  12 -> 15 [size =\"15245312\"]\n  13 [size=\"102932480\", alpha=\"0.17\", expect_size=\"51466240\"] \n  13 -> 20 [size =\"51466240\"]\n  13 -> 22 [size =\"51466240\"]\n  13 -> 23 [size =\"51466240\"]\n  13 -> 26 [size =\"51466240\"]\n  14 [size=\"82202624\", alpha=\"0.17\", expect_size=\"41101312\"] \n  14 -> 21 [size =\"41101312\"]\n  14 -> 22 [size =\"41101312\"]\n  14 -> 23 [size =\"41101312\"]\n  14 -> 25 [size =\"41101312\"]\n  14 -> 26 [size =\"41101312\"]\n  15 [size=\"33003520\", alpha=\"0.19\", expect_size=\"16501760\"] \n  15 -> 21 [size =\"16501760\"]\n  15 -> 22 [size =\"16501760\"]\n  15 -> 26 [size =\"16501760\"]\n  16 [size=\"33552384\", alpha=\"0.15\", expect_size=\"16776192\"] \n  16 -> 20 [size =\"16776192\"]\n  16 -> 24 [size =\"16776192\"]\n  16 -> 26 [size =\"16776192\"]\n  17 [size=\"51898368\", alpha=\"0.14\", expect_size=\"25949184\"] \n  17 -> 21 [size =\"25949184\"]\n  17 -> 22 [size =\"25949184\"]\n  17 -> 23 [size =\"25949184\"]\n  17 -> 24 [size =\"25949184\"]\n  18 [size=\"72058880\", alpha=\"0.16\", expect_size=\"36029440\"] \n  18 -> 24 [size =\"36029440\"]\n  19 [size=\"83988480\", alpha=\"0.09\", expect_size=\"41994240\"] \n  19 -> 20 [size =\"41994240\"]\n  19 -> 23 [size =\"41994240\"]\n  19 -> 24 [size =\"41994240\"]\n  19 -> 25 [size =\"41994240\"]\n  20 [size=\"89438208\", alpha=\"0.13\", expect_size=\"44719104\"] \n  20 -> 27 [size =\"44719104\"]\n  20 -> 28 [size =\"44719104\"]\n  20 -> 31 [size =\"44719104\"]\n  21 [size=\"42915840\", alpha=\"0.12\", expect_size=\"21457920\"] \n  21 -> 32 [size =\"21457920\"]\n  22 [size=\"16195584\", alpha=\"0.04\", expect_size=\"8097792\"] \n  22 -> 29 [size =\"8097792\"]\n  22 -> 30 [size =\"8097792\"]\n  22 -> 32 [size =\"8097792\"]\n  23 [size=\"84174848\", alpha=\"0.03\", expect_size=\"42087424\"] \n  23 -> 27 [size =\"42087424\"]\n  23 -> 29 [size =\"42087424\"]\n  23 -> 31 [size =\"42087424\"]\n  23 -> 32 [size =\"42087424\"]\n  24 [size=\"68765696\", alpha=\"0.07\", expect_size=\"34382848\"] \n  24 -> 27 [size =\"34382848\"]\n  24 -> 29 [size =\"34382848\"]\n  24 -> 32 [size =\"34382848\"]\n  25 [size=\"53831680\", alpha=\"0.01\", expect_size=\"26915840\"] \n  25 -> 29 [size =\"26915840\"]\n  25 -> 30 [size =\"26915840\"]\n  25 -> 31 [size =\"26915840\"]\n  26 [size=\"48297984\", alpha=\"0.00\", expect_size=\"24148992\"] \n  26 -> 27 [size =\"24148992\"]\n  26 -> 29 [size =\"24148992\"]\n  27 [size=\"26687488\", alpha=\"0.03\", expect_size=\"13343744\"] \n  27 -> 35 [size =\"13343744\"]\n  27 -> 37 [size =\"13343744\"]\n  28 [size=\"93915136\", alpha=\"0.16\", expect_size=\"46957568\"] \n  28 -> 35 [size =\"46957568\"]\n  28 -> 37 [size =\"46957568\"]\n  29 [size=\"77195264\", alpha=\"0.13\", expect_size=\"38597632\"] \n  29 -> 33 [size =\"38597632\"]\n  29 -> 36 [size =\"38597632\"]\n  29 -> 37 [size =\"38597632\"]\n  30 [size=\"24446976\", alpha=\"0.14\", expect_size=\"12223488\"] \n  30 -> 34 [size =\"12223488\"]\n  31 [size=\"83636224\", alpha=\"0.13\", expect_size=\"41818112\"] \n  32 [size=\"46028800\", alpha=\"0.16\", expect_size=\"23014400\"] \n  32 -> 34 [size =\"23014400\"]\n  33 [size=\"66351104\", alpha=\"0.19\", expect_size=\"33175552\"] \n  33 -> 39 [size =\"33175552\"]\n  33 -> 40 [size =\"33175552\"]\n  34 [size=\"78428160\", alpha=\"0.17\", expect_size=\"39214080\"] \n  34 -> 38 [size =\"39214080\"]\n  35 [size=\"14944256\", alpha=\"0.00\", expect_size=\"7472128\"] \n  35 -> 40 [size =\"7472128\"]\n  36 [size=\"20150272\", alpha=\"0.08\", expect_size=\"10075136\"] \n  36 -> 39 [size =\"10075136\"]\n  37 [size=\"22362112\", alpha=\"0.05\", expect_size=\"11181056\"] \n  37 -> 39 [size =\"11181056\"]\n  38 [size=\"35958784\", alpha=\"0.14\", expect_size=\"17979392\"] \n  39 [size=\"15196160\", alpha=\"0.19\", expect_size=\"7598080\"] \n  40 [size=\"75798528\", alpha=\"0.01\", expect_size=\"37899264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17884160\", alpha=\"0.19\", expect_size=\"7153664\"] \n  1 -> 35 [size =\"7153664\"]\n  1 -> 37 [size =\"7153664\"]\n  1 -> 40 [size =\"7153664\"]\n  2 [size=\"59760640\", alpha=\"0.08\", expect_size=\"23904256\"] \n  2 -> 35 [size =\"23904256\"]\n  2 -> 38 [size =\"23904256\"]\n  2 -> 39 [size =\"23904256\"]\n  2 -> 40 [size =\"23904256\"]\n  3 [size=\"51571200\", alpha=\"0.13\", expect_size=\"20628480\"] \n  3 -> 35 [size =\"20628480\"]\n  3 -> 38 [size =\"20628480\"]\n  3 -> 40 [size =\"20628480\"]\n  4 [size=\"111424000\", alpha=\"0.08\", expect_size=\"44569600\"] \n  4 -> 35 [size =\"44569600\"]\n  4 -> 40 [size =\"44569600\"]\n  5 [size=\"25694720\", alpha=\"0.03\", expect_size=\"10277888\"] \n  5 -> 34 [size =\"10277888\"]\n  5 -> 38 [size =\"10277888\"]\n  5 -> 40 [size =\"10277888\"]\n  6 [size=\"18040320\", alpha=\"0.17\", expect_size=\"7216128\"] \n  6 -> 36 [size =\"7216128\"]\n  6 -> 38 [size =\"7216128\"]\n  6 -> 40 [size =\"7216128\"]\n  7 [size=\"102031360\", alpha=\"0.13\", expect_size=\"40812544\"] \n  7 -> 35 [size =\"40812544\"]\n  7 -> 40 [size =\"40812544\"]\n  8 [size=\"22873600\", alpha=\"0.12\", expect_size=\"9149440\"] \n  8 -> 35 [size =\"9149440\"]\n  8 -> 38 [size =\"9149440\"]\n  8 -> 40 [size =\"9149440\"]\n  9 [size=\"57157120\", alpha=\"0.04\", expect_size=\"22862848\"] \n  9 -> 35 [size =\"22862848\"]\n  9 -> 39 [size =\"22862848\"]\n  9 -> 40 [size =\"22862848\"]\n  10 [size=\"101872640\", alpha=\"0.03\", expect_size=\"40749056\"] \n  10 -> 35 [size =\"40749056\"]\n  10 -> 38 [size =\"40749056\"]\n  10 -> 40 [size =\"40749056\"]\n  11 [size=\"23549440\", alpha=\"0.05\", expect_size=\"9419776\"] \n  11 -> 34 [size =\"9419776\"]\n  11 -> 35 [size =\"9419776\"]\n  11 -> 38 [size =\"9419776\"]\n  11 -> 40 [size =\"9419776\"]\n  12 [size=\"16281600\", alpha=\"0.14\", expect_size=\"6512640\"] \n  12 -> 35 [size =\"6512640\"]\n  12 -> 35 [size =\"6512640\"]\n  12 -> 36 [size =\"6512640\"]\n  12 -> 38 [size =\"6512640\"]\n  12 -> 40 [size =\"6512640\"]\n  13 [size=\"61227520\", alpha=\"0.13\", expect_size=\"24491008\"] \n  13 -> 35 [size =\"24491008\"]\n  13 -> 36 [size =\"24491008\"]\n  13 -> 37 [size =\"24491008\"]\n  13 -> 38 [size =\"24491008\"]\n  13 -> 40 [size =\"24491008\"]\n  14 [size=\"21337600\", alpha=\"0.15\", expect_size=\"8535040\"] \n  14 -> 35 [size =\"8535040\"]\n  14 -> 37 [size =\"8535040\"]\n  14 -> 38 [size =\"8535040\"]\n  14 -> 38 [size =\"8535040\"]\n  14 -> 40 [size =\"8535040\"]\n  15 [size=\"69263360\", alpha=\"0.09\", expect_size=\"27705344\"] \n  15 -> 35 [size =\"27705344\"]\n  15 -> 40 [size =\"27705344\"]\n  16 [size=\"87511040\", alpha=\"0.07\", expect_size=\"35004416\"] \n  16 -> 35 [size =\"35004416\"]\n  16 -> 40 [size =\"35004416\"]\n  17 [size=\"70763520\", alpha=\"0.09\", expect_size=\"28305408\"] \n  17 -> 35 [size =\"28305408\"]\n  17 -> 36 [size =\"28305408\"]\n  17 -> 40 [size =\"28305408\"]\n  18 [size=\"29844480\", alpha=\"0.02\", expect_size=\"11937792\"] \n  18 -> 35 [size =\"11937792\"]\n  18 -> 36 [size =\"11937792\"]\n  19 [size=\"102942720\", alpha=\"0.05\", expect_size=\"41177088\"] \n  19 -> 34 [size =\"41177088\"]\n  19 -> 35 [size =\"41177088\"]\n  20 [size=\"127841280\", alpha=\"0.12\", expect_size=\"51136512\"] \n  20 -> 35 [size =\"51136512\"]\n  20 -> 35 [size =\"51136512\"]\n  20 -> 40 [size =\"51136512\"]\n  21 [size=\"26531840\", alpha=\"0.01\", expect_size=\"10612736\"] \n  21 -> 34 [size =\"10612736\"]\n  21 -> 40 [size =\"10612736\"]\n  22 [size=\"55157760\", alpha=\"0.17\", expect_size=\"22063104\"] \n  22 -> 34 [size =\"22063104\"]\n  22 -> 35 [size =\"22063104\"]\n  22 -> 36 [size =\"22063104\"]\n  22 -> 39 [size =\"22063104\"]\n  23 [size=\"18982400\", alpha=\"0.20\", expect_size=\"7592960\"] \n  23 -> 34 [size =\"7592960\"]\n  23 -> 35 [size =\"7592960\"]\n  23 -> 36 [size =\"7592960\"]\n  23 -> 39 [size =\"7592960\"]\n  24 [size=\"98042880\", alpha=\"0.19\", expect_size=\"39217152\"] \n  24 -> 35 [size =\"39217152\"]\n  24 -> 37 [size =\"39217152\"]\n  24 -> 38 [size =\"39217152\"]\n  24 -> 40 [size =\"39217152\"]\n  25 [size=\"68119040\", alpha=\"0.01\", expect_size=\"27247616\"] \n  25 -> 35 [size =\"27247616\"]\n  25 -> 38 [size =\"27247616\"]\n  26 [size=\"121584640\", alpha=\"0.03\", expect_size=\"48633856\"] \n  26 -> 35 [size =\"48633856\"]\n  26 -> 37 [size =\"48633856\"]\n  26 -> 38 [size =\"48633856\"]\n  26 -> 40 [size =\"48633856\"]\n  27 [size=\"42232320\", alpha=\"0.01\", expect_size=\"16892928\"] \n  27 -> 35 [size =\"16892928\"]\n  27 -> 37 [size =\"16892928\"]\n  28 [size=\"95633920\", alpha=\"0.00\", expect_size=\"38253568\"] \n  28 -> 37 [size =\"38253568\"]\n  28 -> 40 [size =\"38253568\"]\n  29 [size=\"109762560\", alpha=\"0.07\", expect_size=\"43905024\"] \n  29 -> 35 [size =\"43905024\"]\n  29 -> 38 [size =\"43905024\"]\n  29 -> 40 [size =\"43905024\"]\n  30 [size=\"20200960\", alpha=\"0.08\", expect_size=\"8080384\"] \n  30 -> 38 [size =\"8080384\"]\n  30 -> 38 [size =\"8080384\"]\n  31 [size=\"93214720\", alpha=\"0.12\", expect_size=\"37285888\"] \n  31 -> 34 [size =\"37285888\"]\n  31 -> 35 [size =\"37285888\"]\n  31 -> 36 [size =\"37285888\"]\n  32 [size=\"97648640\", alpha=\"0.16\", expect_size=\"39059456\"] \n  32 -> 34 [size =\"39059456\"]\n  32 -> 35 [size =\"39059456\"]\n  32 -> 36 [size =\"39059456\"]\n  32 -> 38 [size =\"39059456\"]\n  32 -> 40 [size =\"39059456\"]\n  33 [size=\"80158720\", alpha=\"0.08\", expect_size=\"32063488\"] \n  33 -> 34 [size =\"32063488\"]\n  33 -> 38 [size =\"32063488\"]\n  33 -> 40 [size =\"32063488\"]\n  34 [size=\"79208960\", alpha=\"0.02\", expect_size=\"31683584\"] \n  35 [size=\"75153920\", alpha=\"0.05\", expect_size=\"30061568\"] \n  36 [size=\"80578560\", alpha=\"0.00\", expect_size=\"32231424\"] \n  37 [size=\"100423680\", alpha=\"0.06\", expect_size=\"40169472\"] \n  38 [size=\"105643520\", alpha=\"0.14\", expect_size=\"42257408\"] \n  39 [size=\"106007040\", alpha=\"0.18\", expect_size=\"42402816\"] \n  40 [size=\"27604480\", alpha=\"0.01\", expect_size=\"11041792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40110080\", alpha=\"0.16\", expect_size=\"12033024\"] \n  1 -> 20 [size =\"12033024\"]\n  1 -> 22 [size =\"12033024\"]\n  1 -> 24 [size =\"12033024\"]\n  1 -> 25 [size =\"12033024\"]\n  1 -> 26 [size =\"12033024\"]\n  1 -> 29 [size =\"12033024\"]\n  1 -> 30 [size =\"12033024\"]\n  1 -> 33 [size =\"12033024\"]\n  1 -> 36 [size =\"12033024\"]\n  1 -> 37 [size =\"12033024\"]\n  1 -> 38 [size =\"12033024\"]\n  2 [size=\"70154240\", alpha=\"0.19\", expect_size=\"21046272\"] \n  2 -> 18 [size =\"21046272\"]\n  2 -> 20 [size =\"21046272\"]\n  2 -> 22 [size =\"21046272\"]\n  2 -> 24 [size =\"21046272\"]\n  2 -> 26 [size =\"21046272\"]\n  2 -> 29 [size =\"21046272\"]\n  2 -> 33 [size =\"21046272\"]\n  2 -> 33 [size =\"21046272\"]\n  2 -> 34 [size =\"21046272\"]\n  2 -> 35 [size =\"21046272\"]\n  2 -> 39 [size =\"21046272\"]\n  3 [size=\"164454400\", alpha=\"0.14\", expect_size=\"49336320\"] \n  3 -> 22 [size =\"49336320\"]\n  3 -> 25 [size =\"49336320\"]\n  3 -> 28 [size =\"49336320\"]\n  3 -> 33 [size =\"49336320\"]\n  3 -> 36 [size =\"49336320\"]\n  4 [size=\"41738240\", alpha=\"0.10\", expect_size=\"12521472\"] \n  4 -> 19 [size =\"12521472\"]\n  4 -> 20 [size =\"12521472\"]\n  4 -> 21 [size =\"12521472\"]\n  4 -> 22 [size =\"12521472\"]\n  4 -> 23 [size =\"12521472\"]\n  4 -> 24 [size =\"12521472\"]\n  4 -> 28 [size =\"12521472\"]\n  4 -> 34 [size =\"12521472\"]\n  4 -> 36 [size =\"12521472\"]\n  4 -> 40 [size =\"12521472\"]\n  5 [size=\"109721600\", alpha=\"0.00\", expect_size=\"32916480\"] \n  5 -> 18 [size =\"32916480\"]\n  5 -> 21 [size =\"32916480\"]\n  5 -> 24 [size =\"32916480\"]\n  5 -> 26 [size =\"32916480\"]\n  5 -> 27 [size =\"32916480\"]\n  5 -> 28 [size =\"32916480\"]\n  5 -> 28 [size =\"32916480\"]\n  5 -> 36 [size =\"32916480\"]\n  5 -> 37 [size =\"32916480\"]\n  5 -> 39 [size =\"32916480\"]\n  6 [size=\"106567680\", alpha=\"0.04\", expect_size=\"31970304\"] \n  6 -> 18 [size =\"31970304\"]\n  6 -> 20 [size =\"31970304\"]\n  6 -> 21 [size =\"31970304\"]\n  6 -> 23 [size =\"31970304\"]\n  6 -> 24 [size =\"31970304\"]\n  6 -> 26 [size =\"31970304\"]\n  6 -> 27 [size =\"31970304\"]\n  6 -> 28 [size =\"31970304\"]\n  6 -> 36 [size =\"31970304\"]\n  6 -> 39 [size =\"31970304\"]\n  6 -> 40 [size =\"31970304\"]\n  7 [size=\"79452160\", alpha=\"0.01\", expect_size=\"23835648\"] \n  7 -> 21 [size =\"23835648\"]\n  7 -> 22 [size =\"23835648\"]\n  7 -> 26 [size =\"23835648\"]\n  7 -> 27 [size =\"23835648\"]\n  7 -> 28 [size =\"23835648\"]\n  7 -> 34 [size =\"23835648\"]\n  7 -> 36 [size =\"23835648\"]\n  7 -> 37 [size =\"23835648\"]\n  7 -> 38 [size =\"23835648\"]\n  7 -> 39 [size =\"23835648\"]\n  8 [size=\"67799040\", alpha=\"0.02\", expect_size=\"20339712\"] \n  8 -> 21 [size =\"20339712\"]\n  8 -> 22 [size =\"20339712\"]\n  8 -> 24 [size =\"20339712\"]\n  8 -> 26 [size =\"20339712\"]\n  8 -> 27 [size =\"20339712\"]\n  8 -> 28 [size =\"20339712\"]\n  8 -> 34 [size =\"20339712\"]\n  8 -> 36 [size =\"20339712\"]\n  8 -> 39 [size =\"20339712\"]\n  8 -> 40 [size =\"20339712\"]\n  9 [size=\"141288107\", alpha=\"0.08\", expect_size=\"42386432\"] \n  9 -> 21 [size =\"42386432\"]\n  9 -> 22 [size =\"42386432\"]\n  9 -> 24 [size =\"42386432\"]\n  9 -> 27 [size =\"42386432\"]\n  9 -> 28 [size =\"42386432\"]\n  9 -> 29 [size =\"42386432\"]\n  9 -> 33 [size =\"42386432\"]\n  9 -> 34 [size =\"42386432\"]\n  10 [size=\"154886827\", alpha=\"0.11\", expect_size=\"46466048\"] \n  10 -> 20 [size =\"46466048\"]\n  10 -> 22 [size =\"46466048\"]\n  10 -> 24 [size =\"46466048\"]\n  10 -> 26 [size =\"46466048\"]\n  10 -> 28 [size =\"46466048\"]\n  10 -> 29 [size =\"46466048\"]\n  10 -> 32 [size =\"46466048\"]\n  10 -> 33 [size =\"46466048\"]\n  10 -> 34 [size =\"46466048\"]\n  10 -> 39 [size =\"46466048\"]\n  11 [size=\"101621760\", alpha=\"0.06\", expect_size=\"30486528\"] \n  11 -> 20 [size =\"30486528\"]\n  11 -> 25 [size =\"30486528\"]\n  11 -> 26 [size =\"30486528\"]\n  11 -> 26 [size =\"30486528\"]\n  11 -> 27 [size =\"30486528\"]\n  11 -> 29 [size =\"30486528\"]\n  11 -> 36 [size =\"30486528\"]\n  11 -> 37 [size =\"30486528\"]\n  12 [size=\"71034880\", alpha=\"0.09\", expect_size=\"21310464\"] \n  12 -> 20 [size =\"21310464\"]\n  12 -> 21 [size =\"21310464\"]\n  12 -> 22 [size =\"21310464\"]\n  12 -> 23 [size =\"21310464\"]\n  12 -> 24 [size =\"21310464\"]\n  12 -> 25 [size =\"21310464\"]\n  12 -> 27 [size =\"21310464\"]\n  12 -> 28 [size =\"21310464\"]\n  12 -> 29 [size =\"21310464\"]\n  12 -> 36 [size =\"21310464\"]\n  12 -> 37 [size =\"21310464\"]\n  13 [size=\"66324480\", alpha=\"0.02\", expect_size=\"19897344\"] \n  13 -> 19 [size =\"19897344\"]\n  13 -> 20 [size =\"19897344\"]\n  13 -> 21 [size =\"19897344\"]\n  13 -> 22 [size =\"19897344\"]\n  13 -> 24 [size =\"19897344\"]\n  13 -> 25 [size =\"19897344\"]\n  13 -> 27 [size =\"19897344\"]\n  13 -> 31 [size =\"19897344\"]\n  13 -> 34 [size =\"19897344\"]\n  13 -> 36 [size =\"19897344\"]\n  13 -> 37 [size =\"19897344\"]\n  14 [size=\"173223253\", alpha=\"0.09\", expect_size=\"51966976\"] \n  14 -> 20 [size =\"51966976\"]\n  14 -> 20 [size =\"51966976\"]\n  14 -> 21 [size =\"51966976\"]\n  14 -> 25 [size =\"51966976\"]\n  14 -> 27 [size =\"51966976\"]\n  14 -> 28 [size =\"51966976\"]\n  14 -> 29 [size =\"51966976\"]\n  14 -> 33 [size =\"51966976\"]\n  14 -> 34 [size =\"51966976\"]\n  14 -> 38 [size =\"51966976\"]\n  14 -> 39 [size =\"51966976\"]\n  15 [size=\"95924907\", alpha=\"0.02\", expect_size=\"28777472\"] \n  15 -> 20 [size =\"28777472\"]\n  15 -> 21 [size =\"28777472\"]\n  15 -> 21 [size =\"28777472\"]\n  15 -> 23 [size =\"28777472\"]\n  15 -> 25 [size =\"28777472\"]\n  15 -> 27 [size =\"28777472\"]\n  15 -> 28 [size =\"28777472\"]\n  15 -> 33 [size =\"28777472\"]\n  15 -> 34 [size =\"28777472\"]\n  15 -> 36 [size =\"28777472\"]\n  15 -> 37 [size =\"28777472\"]\n  16 [size=\"98512213\", alpha=\"0.07\", expect_size=\"29553664\"] \n  16 -> 20 [size =\"29553664\"]\n  16 -> 23 [size =\"29553664\"]\n  16 -> 24 [size =\"29553664\"]\n  16 -> 25 [size =\"29553664\"]\n  16 -> 25 [size =\"29553664\"]\n  16 -> 27 [size =\"29553664\"]\n  16 -> 29 [size =\"29553664\"]\n  16 -> 34 [size =\"29553664\"]\n  16 -> 37 [size =\"29553664\"]\n  16 -> 40 [size =\"29553664\"]\n  17 [size=\"126825813\", alpha=\"0.02\", expect_size=\"38047744\"] \n  17 -> 22 [size =\"38047744\"]\n  17 -> 26 [size =\"38047744\"]\n  17 -> 27 [size =\"38047744\"]\n  17 -> 29 [size =\"38047744\"]\n  17 -> 33 [size =\"38047744\"]\n  17 -> 34 [size =\"38047744\"]\n  17 -> 37 [size =\"38047744\"]\n  17 -> 38 [size =\"38047744\"]\n  17 -> 40 [size =\"38047744\"]\n  18 [size=\"135761920\", alpha=\"0.14\", expect_size=\"40728576\"] \n  19 [size=\"147698347\", alpha=\"0.14\", expect_size=\"44309504\"] \n  20 [size=\"52258133\", alpha=\"0.06\", expect_size=\"15677440\"] \n  21 [size=\"137082880\", alpha=\"0.01\", expect_size=\"41124864\"] \n  22 [size=\"23825067\", alpha=\"0.03\", expect_size=\"7147520\"] \n  23 [size=\"94812160\", alpha=\"0.03\", expect_size=\"28443648\"] \n  24 [size=\"109878613\", alpha=\"0.06\", expect_size=\"32963584\"] \n  25 [size=\"26880000\", alpha=\"0.02\", expect_size=\"8064000\"] \n  26 [size=\"41925973\", alpha=\"0.08\", expect_size=\"12577792\"] \n  27 [size=\"97406293\", alpha=\"0.02\", expect_size=\"29221888\"] \n  28 [size=\"110342827\", alpha=\"0.03\", expect_size=\"33102848\"] \n  29 [size=\"63658667\", alpha=\"0.20\", expect_size=\"19097600\"] \n  30 [size=\"17831253\", alpha=\"0.14\", expect_size=\"5349376\"] \n  31 [size=\"66703360\", alpha=\"0.18\", expect_size=\"20011008\"] \n  32 [size=\"75629227\", alpha=\"0.10\", expect_size=\"22688768\"] \n  33 [size=\"97283413\", alpha=\"0.07\", expect_size=\"29185024\"] \n  34 [size=\"121364480\", alpha=\"0.05\", expect_size=\"36409344\"] \n  35 [size=\"172134400\", alpha=\"0.12\", expect_size=\"51640320\"] \n  36 [size=\"27265707\", alpha=\"0.10\", expect_size=\"8179712\"] \n  37 [size=\"90426027\", alpha=\"0.02\", expect_size=\"27127808\"] \n  38 [size=\"109018453\", alpha=\"0.08\", expect_size=\"32705536\"] \n  39 [size=\"133369173\", alpha=\"0.12\", expect_size=\"40010752\"] \n  40 [size=\"130003627\", alpha=\"0.19\", expect_size=\"39001088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56159573\", alpha=\"0.03\", expect_size=\"16847872\"] \n  1 -> 33 [size =\"16847872\"]\n  2 [size=\"60361387\", alpha=\"0.11\", expect_size=\"18108416\"] \n  2 -> 33 [size =\"18108416\"]\n  2 -> 37 [size =\"18108416\"]\n  2 -> 40 [size =\"18108416\"]\n  3 [size=\"23889920\", alpha=\"0.14\", expect_size=\"7166976\"] \n  3 -> 35 [size =\"7166976\"]\n  3 -> 37 [size =\"7166976\"]\n  3 -> 38 [size =\"7166976\"]\n  3 -> 39 [size =\"7166976\"]\n  4 [size=\"91798187\", alpha=\"0.12\", expect_size=\"27539456\"] \n  5 [size=\"106052267\", alpha=\"0.07\", expect_size=\"31815680\"] \n  5 -> 33 [size =\"31815680\"]\n  5 -> 35 [size =\"31815680\"]\n  5 -> 37 [size =\"31815680\"]\n  5 -> 40 [size =\"31815680\"]\n  6 [size=\"109844480\", alpha=\"0.10\", expect_size=\"32953344\"] \n  6 -> 36 [size =\"32953344\"]\n  6 -> 37 [size =\"32953344\"]\n  6 -> 40 [size =\"32953344\"]\n  7 [size=\"22149120\", alpha=\"0.09\", expect_size=\"6644736\"] \n  7 -> 33 [size =\"6644736\"]\n  7 -> 35 [size =\"6644736\"]\n  7 -> 36 [size =\"6644736\"]\n  7 -> 37 [size =\"6644736\"]\n  7 -> 39 [size =\"6644736\"]\n  8 [size=\"104229547\", alpha=\"0.01\", expect_size=\"31268864\"] \n  8 -> 34 [size =\"31268864\"]\n  8 -> 35 [size =\"31268864\"]\n  8 -> 36 [size =\"31268864\"]\n  8 -> 37 [size =\"31268864\"]\n  9 [size=\"126679040\", alpha=\"0.01\", expect_size=\"38003712\"] \n  9 -> 34 [size =\"38003712\"]\n  9 -> 35 [size =\"38003712\"]\n  9 -> 40 [size =\"38003712\"]\n  10 [size=\"94044160\", alpha=\"0.19\", expect_size=\"28213248\"] \n  10 -> 33 [size =\"28213248\"]\n  10 -> 38 [size =\"28213248\"]\n  10 -> 40 [size =\"28213248\"]\n  11 [size=\"91702613\", alpha=\"0.16\", expect_size=\"27510784\"] \n  11 -> 34 [size =\"27510784\"]\n  11 -> 39 [size =\"27510784\"]\n  11 -> 40 [size =\"27510784\"]\n  12 [size=\"118568960\", alpha=\"0.14\", expect_size=\"35570688\"] \n  12 -> 33 [size =\"35570688\"]\n  12 -> 36 [size =\"35570688\"]\n  12 -> 37 [size =\"35570688\"]\n  12 -> 39 [size =\"35570688\"]\n  12 -> 40 [size =\"35570688\"]\n  13 [size=\"48875520\", alpha=\"0.00\", expect_size=\"14662656\"] \n  13 -> 33 [size =\"14662656\"]\n  14 [size=\"158170453\", alpha=\"0.04\", expect_size=\"47451136\"] \n  14 -> 33 [size =\"47451136\"]\n  14 -> 37 [size =\"47451136\"]\n  14 -> 40 [size =\"47451136\"]\n  15 [size=\"96488107\", alpha=\"0.04\", expect_size=\"28946432\"] \n  15 -> 34 [size =\"28946432\"]\n  15 -> 35 [size =\"28946432\"]\n  15 -> 37 [size =\"28946432\"]\n  16 [size=\"155426133\", alpha=\"0.07\", expect_size=\"46627840\"] \n  16 -> 33 [size =\"46627840\"]\n  16 -> 34 [size =\"46627840\"]\n  16 -> 35 [size =\"46627840\"]\n  16 -> 36 [size =\"46627840\"]\n  16 -> 37 [size =\"46627840\"]\n  16 -> 40 [size =\"46627840\"]\n  17 [size=\"76462080\", alpha=\"0.04\", expect_size=\"22938624\"] \n  17 -> 33 [size =\"22938624\"]\n  17 -> 34 [size =\"22938624\"]\n  17 -> 35 [size =\"22938624\"]\n  17 -> 39 [size =\"22938624\"]\n  18 [size=\"148142080\", alpha=\"0.05\", expect_size=\"44442624\"] \n  18 -> 33 [size =\"44442624\"]\n  18 -> 34 [size =\"44442624\"]\n  18 -> 35 [size =\"44442624\"]\n  18 -> 36 [size =\"44442624\"]\n  18 -> 37 [size =\"44442624\"]\n  19 [size=\"152333653\", alpha=\"0.13\", expect_size=\"45700096\"] \n  19 -> 34 [size =\"45700096\"]\n  19 -> 40 [size =\"45700096\"]\n  20 [size=\"163177813\", alpha=\"0.19\", expect_size=\"48953344\"] \n  20 -> 33 [size =\"48953344\"]\n  20 -> 34 [size =\"48953344\"]\n  20 -> 36 [size =\"48953344\"]\n  20 -> 37 [size =\"48953344\"]\n  21 [size=\"152166400\", alpha=\"0.11\", expect_size=\"45649920\"] \n  21 -> 33 [size =\"45649920\"]\n  21 -> 34 [size =\"45649920\"]\n  21 -> 35 [size =\"45649920\"]\n  22 [size=\"122057387\", alpha=\"0.07\", expect_size=\"36617216\"] \n  22 -> 35 [size =\"36617216\"]\n  22 -> 37 [size =\"36617216\"]\n  23 [size=\"74745173\", alpha=\"0.05\", expect_size=\"22423552\"] \n  23 -> 33 [size =\"22423552\"]\n  23 -> 34 [size =\"22423552\"]\n  23 -> 40 [size =\"22423552\"]\n  24 [size=\"76253867\", alpha=\"0.12\", expect_size=\"22876160\"] \n  24 -> 33 [size =\"22876160\"]\n  24 -> 34 [size =\"22876160\"]\n  24 -> 35 [size =\"22876160\"]\n  24 -> 37 [size =\"22876160\"]\n  24 -> 39 [size =\"22876160\"]\n  24 -> 40 [size =\"22876160\"]\n  25 [size=\"105270613\", alpha=\"0.10\", expect_size=\"31581184\"] \n  25 -> 33 [size =\"31581184\"]\n  25 -> 36 [size =\"31581184\"]\n  25 -> 37 [size =\"31581184\"]\n  26 [size=\"140165120\", alpha=\"0.00\", expect_size=\"42049536\"] \n  26 -> 33 [size =\"42049536\"]\n  26 -> 37 [size =\"42049536\"]\n  27 [size=\"39342080\", alpha=\"0.11\", expect_size=\"11802624\"] \n  27 -> 33 [size =\"11802624\"]\n  27 -> 36 [size =\"11802624\"]\n  28 [size=\"69092693\", alpha=\"0.13\", expect_size=\"20727808\"] \n  28 -> 36 [size =\"20727808\"]\n  28 -> 37 [size =\"20727808\"]\n  28 -> 40 [size =\"20727808\"]\n  29 [size=\"109940053\", alpha=\"0.08\", expect_size=\"32982016\"] \n  29 -> 33 [size =\"32982016\"]\n  29 -> 34 [size =\"32982016\"]\n  30 [size=\"54009173\", alpha=\"0.13\", expect_size=\"16202752\"] \n  30 -> 35 [size =\"16202752\"]\n  31 [size=\"48363520\", alpha=\"0.08\", expect_size=\"14509056\"] \n  31 -> 33 [size =\"14509056\"]\n  31 -> 34 [size =\"14509056\"]\n  31 -> 35 [size =\"14509056\"]\n  32 [size=\"131689813\", alpha=\"0.16\", expect_size=\"39506944\"] \n  32 -> 33 [size =\"39506944\"]\n  32 -> 39 [size =\"39506944\"]\n  32 -> 40 [size =\"39506944\"]\n  33 [size=\"32300373\", alpha=\"0.07\", expect_size=\"9690112\"] \n  34 [size=\"71185067\", alpha=\"0.17\", expect_size=\"21355520\"] \n  35 [size=\"165379413\", alpha=\"0.16\", expect_size=\"49613824\"] \n  36 [size=\"88890027\", alpha=\"0.13\", expect_size=\"26667008\"] \n  37 [size=\"91374933\", alpha=\"0.18\", expect_size=\"27412480\"] \n  38 [size=\"20213760\", alpha=\"0.19\", expect_size=\"6064128\"] \n  39 [size=\"119456427\", alpha=\"0.17\", expect_size=\"35836928\"] \n  40 [size=\"26446507\", alpha=\"0.14\", expect_size=\"7933952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80537600\", alpha=\"0.11\", expect_size=\"40268800\"] \n  1 -> 4 [size =\"40268800\"]\n  1 -> 5 [size =\"40268800\"]\n  2 [size=\"88506368\", alpha=\"0.19\", expect_size=\"44253184\"] \n  2 -> 3 [size =\"44253184\"]\n  2 -> 4 [size =\"44253184\"]\n  2 -> 5 [size =\"44253184\"]\n  3 [size=\"92338176\", alpha=\"0.01\", expect_size=\"46169088\"] \n  3 -> 6 [size =\"46169088\"]\n  4 [size=\"56942592\", alpha=\"0.16\", expect_size=\"28471296\"] \n  4 -> 7 [size =\"28471296\"]\n  4 -> 8 [size =\"28471296\"]\n  5 [size=\"35244032\", alpha=\"0.11\", expect_size=\"17622016\"] \n  5 -> 7 [size =\"17622016\"]\n  6 [size=\"42731520\", alpha=\"0.08\", expect_size=\"21365760\"] \n  6 -> 11 [size =\"21365760\"]\n  7 [size=\"91875328\", alpha=\"0.03\", expect_size=\"45937664\"] \n  7 -> 9 [size =\"45937664\"]\n  7 -> 10 [size =\"45937664\"]\n  8 [size=\"102742016\", alpha=\"0.16\", expect_size=\"51371008\"] \n  8 -> 10 [size =\"51371008\"]\n  9 [size=\"101117952\", alpha=\"0.02\", expect_size=\"50558976\"] \n  9 -> 12 [size =\"50558976\"]\n  9 -> 13 [size =\"50558976\"]\n  10 [size=\"99362816\", alpha=\"0.13\", expect_size=\"49681408\"] \n  10 -> 13 [size =\"49681408\"]\n  11 [size=\"48547840\", alpha=\"0.15\", expect_size=\"24273920\"] \n  11 -> 12 [size =\"24273920\"]\n  11 -> 13 [size =\"24273920\"]\n  12 [size=\"98545664\", alpha=\"0.09\", expect_size=\"49272832\"] \n  12 -> 15 [size =\"49272832\"]\n  12 -> 16 [size =\"49272832\"]\n  13 [size=\"93491200\", alpha=\"0.15\", expect_size=\"46745600\"] \n  13 -> 14 [size =\"46745600\"]\n  13 -> 16 [size =\"46745600\"]\n  14 [size=\"97220608\", alpha=\"0.08\", expect_size=\"48610304\"] \n  14 -> 17 [size =\"48610304\"]\n  14 -> 18 [size =\"48610304\"]\n  15 [size=\"77193216\", alpha=\"0.00\", expect_size=\"38596608\"] \n  16 [size=\"36300800\", alpha=\"0.09\", expect_size=\"18150400\"] \n  16 -> 17 [size =\"18150400\"]\n  17 [size=\"76052480\", alpha=\"0.19\", expect_size=\"38026240\"] \n  17 -> 19 [size =\"38026240\"]\n  17 -> 20 [size =\"38026240\"]\n  18 [size=\"89217024\", alpha=\"0.12\", expect_size=\"44608512\"] \n  18 -> 20 [size =\"44608512\"]\n  19 [size=\"69965824\", alpha=\"0.09\", expect_size=\"34982912\"] \n  19 -> 21 [size =\"34982912\"]\n  19 -> 22 [size =\"34982912\"]\n  20 [size=\"79210496\", alpha=\"0.10\", expect_size=\"39605248\"] \n  20 -> 21 [size =\"39605248\"]\n  20 -> 22 [size =\"39605248\"]\n  20 -> 23 [size =\"39605248\"]\n  21 [size=\"46274560\", alpha=\"0.06\", expect_size=\"23137280\"] \n  21 -> 24 [size =\"23137280\"]\n  21 -> 25 [size =\"23137280\"]\n  21 -> 26 [size =\"23137280\"]\n  22 [size=\"25006080\", alpha=\"0.19\", expect_size=\"12503040\"] \n  22 -> 24 [size =\"12503040\"]\n  22 -> 25 [size =\"12503040\"]\n  23 [size=\"68253696\", alpha=\"0.09\", expect_size=\"34126848\"] \n  23 -> 24 [size =\"34126848\"]\n  23 -> 25 [size =\"34126848\"]\n  23 -> 26 [size =\"34126848\"]\n  24 [size=\"45869056\", alpha=\"0.09\", expect_size=\"22934528\"] \n  24 -> 28 [size =\"22934528\"]\n  25 [size=\"82589696\", alpha=\"0.14\", expect_size=\"41294848\"] \n  26 [size=\"84291584\", alpha=\"0.06\", expect_size=\"42145792\"] \n  26 -> 27 [size =\"42145792\"]\n  26 -> 28 [size =\"42145792\"]\n  27 [size=\"33376256\", alpha=\"0.15\", expect_size=\"16688128\"] \n  27 -> 29 [size =\"16688128\"]\n  27 -> 30 [size =\"16688128\"]\n  28 [size=\"28121088\", alpha=\"0.04\", expect_size=\"14060544\"] \n  28 -> 30 [size =\"14060544\"]\n  29 [size=\"82669568\", alpha=\"0.12\", expect_size=\"41334784\"] \n  29 -> 31 [size =\"41334784\"]\n  29 -> 32 [size =\"41334784\"]\n  30 [size=\"28766208\", alpha=\"0.19\", expect_size=\"14383104\"] \n  30 -> 31 [size =\"14383104\"]\n  30 -> 33 [size =\"14383104\"]\n  31 [size=\"75460608\", alpha=\"0.14\", expect_size=\"37730304\"] \n  31 -> 34 [size =\"37730304\"]\n  31 -> 35 [size =\"37730304\"]\n  32 [size=\"104058880\", alpha=\"0.07\", expect_size=\"52029440\"] \n  33 [size=\"98215936\", alpha=\"0.18\", expect_size=\"49107968\"] \n  34 [size=\"45410304\", alpha=\"0.08\", expect_size=\"22705152\"] \n  34 -> 36 [size =\"22705152\"]\n  34 -> 37 [size =\"22705152\"]\n  35 [size=\"86470656\", alpha=\"0.11\", expect_size=\"43235328\"] \n  35 -> 36 [size =\"43235328\"]\n  35 -> 37 [size =\"43235328\"]\n  35 -> 38 [size =\"43235328\"]\n  36 [size=\"57415680\", alpha=\"0.00\", expect_size=\"28707840\"] \n  36 -> 40 [size =\"28707840\"]\n  37 [size=\"84860928\", alpha=\"0.04\", expect_size=\"42430464\"] \n  38 [size=\"61454336\", alpha=\"0.03\", expect_size=\"30727168\"] \n  38 -> 39 [size =\"30727168\"]\n  39 [size=\"79454208\", alpha=\"0.16\", expect_size=\"39727104\"] \n  40 [size=\"40749056\", alpha=\"0.02\", expect_size=\"20374528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71673856\", alpha=\"0.03\", expect_size=\"35836928\"] \n  1 -> 5 [size =\"35836928\"]\n  2 [size=\"88246272\", alpha=\"0.05\", expect_size=\"44123136\"] \n  2 -> 4 [size =\"44123136\"]\n  3 [size=\"14430208\", alpha=\"0.19\", expect_size=\"7215104\"] \n  4 [size=\"14276608\", alpha=\"0.09\", expect_size=\"7138304\"] \n  5 [size=\"34105344\", alpha=\"0.05\", expect_size=\"17052672\"] \n  5 -> 6 [size =\"17052672\"]\n  5 -> 7 [size =\"17052672\"]\n  6 [size=\"47212544\", alpha=\"0.18\", expect_size=\"23606272\"] \n  6 -> 8 [size =\"23606272\"]\n  6 -> 9 [size =\"23606272\"]\n  6 -> 10 [size =\"23606272\"]\n  7 [size=\"38596608\", alpha=\"0.05\", expect_size=\"19298304\"] \n  8 [size=\"61159424\", alpha=\"0.08\", expect_size=\"30579712\"] \n  8 -> 11 [size =\"30579712\"]\n  8 -> 13 [size =\"30579712\"]\n  9 [size=\"83359744\", alpha=\"0.13\", expect_size=\"41679872\"] \n  10 [size=\"66170880\", alpha=\"0.01\", expect_size=\"33085440\"] \n  10 -> 12 [size =\"33085440\"]\n  11 [size=\"28866560\", alpha=\"0.19\", expect_size=\"14433280\"] \n  12 [size=\"42985472\", alpha=\"0.10\", expect_size=\"21492736\"] \n  12 -> 14 [size =\"21492736\"]\n  12 -> 15 [size =\"21492736\"]\n  13 [size=\"68667392\", alpha=\"0.00\", expect_size=\"34333696\"] \n  13 -> 14 [size =\"34333696\"]\n  14 [size=\"63952896\", alpha=\"0.14\", expect_size=\"31976448\"] \n  14 -> 17 [size =\"31976448\"]\n  15 [size=\"11712512\", alpha=\"0.10\", expect_size=\"5856256\"] \n  15 -> 16 [size =\"5856256\"]\n  16 [size=\"34576384\", alpha=\"0.15\", expect_size=\"17288192\"] \n  16 -> 18 [size =\"17288192\"]\n  17 [size=\"25411584\", alpha=\"0.03\", expect_size=\"12705792\"] \n  17 -> 19 [size =\"12705792\"]\n  18 [size=\"48011264\", alpha=\"0.06\", expect_size=\"24005632\"] \n  18 -> 20 [size =\"24005632\"]\n  18 -> 21 [size =\"24005632\"]\n  18 -> 22 [size =\"24005632\"]\n  19 [size=\"84891648\", alpha=\"0.02\", expect_size=\"42445824\"] \n  20 [size=\"54097920\", alpha=\"0.09\", expect_size=\"27048960\"] \n  20 -> 24 [size =\"27048960\"]\n  21 [size=\"59092992\", alpha=\"0.08\", expect_size=\"29546496\"] \n  22 [size=\"55990272\", alpha=\"0.04\", expect_size=\"27995136\"] \n  22 -> 23 [size =\"27995136\"]\n  23 [size=\"10631168\", alpha=\"0.01\", expect_size=\"5315584\"] \n  23 -> 25 [size =\"5315584\"]\n  24 [size=\"12007424\", alpha=\"0.19\", expect_size=\"6003712\"] \n  24 -> 26 [size =\"6003712\"]\n  25 [size=\"77012992\", alpha=\"0.02\", expect_size=\"38506496\"] \n  25 -> 29 [size =\"38506496\"]\n  26 [size=\"28098560\", alpha=\"0.12\", expect_size=\"14049280\"] \n  26 -> 27 [size =\"14049280\"]\n  26 -> 28 [size =\"14049280\"]\n  27 [size=\"97245184\", alpha=\"0.09\", expect_size=\"48622592\"] \n  27 -> 31 [size =\"48622592\"]\n  28 [size=\"16240640\", alpha=\"0.16\", expect_size=\"8120320\"] \n  28 -> 30 [size =\"8120320\"]\n  29 [size=\"46028800\", alpha=\"0.18\", expect_size=\"23014400\"] \n  29 -> 31 [size =\"23014400\"]\n  30 [size=\"56657920\", alpha=\"0.13\", expect_size=\"28328960\"] \n  30 -> 33 [size =\"28328960\"]\n  31 [size=\"98422784\", alpha=\"0.11\", expect_size=\"49211392\"] \n  31 -> 32 [size =\"49211392\"]\n  31 -> 34 [size =\"49211392\"]\n  32 [size=\"43767808\", alpha=\"0.16\", expect_size=\"21883904\"] \n  32 -> 36 [size =\"21883904\"]\n  32 -> 37 [size =\"21883904\"]\n  33 [size=\"64827392\", alpha=\"0.14\", expect_size=\"32413696\"] \n  33 -> 36 [size =\"32413696\"]\n  34 [size=\"71174144\", alpha=\"0.03\", expect_size=\"35587072\"] \n  34 -> 35 [size =\"35587072\"]\n  35 [size=\"66603008\", alpha=\"0.12\", expect_size=\"33301504\"] \n  35 -> 38 [size =\"33301504\"]\n  35 -> 39 [size =\"33301504\"]\n  36 [size=\"74729472\", alpha=\"0.06\", expect_size=\"37364736\"] \n  36 -> 38 [size =\"37364736\"]\n  37 [size=\"37914624\", alpha=\"0.03\", expect_size=\"18957312\"] \n  37 -> 39 [size =\"18957312\"]\n  38 [size=\"78639104\", alpha=\"0.09\", expect_size=\"39319552\"] \n  39 [size=\"58832896\", alpha=\"0.10\", expect_size=\"29416448\"] \n  39 -> 40 [size =\"29416448\"]\n  40 [size=\"51372032\", alpha=\"0.00\", expect_size=\"25686016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46202880\", alpha=\"0.01\", expect_size=\"18481152\"] \n  1 -> 13 [size =\"18481152\"]\n  1 -> 15 [size =\"18481152\"]\n  1 -> 22 [size =\"18481152\"]\n  1 -> 23 [size =\"18481152\"]\n  1 -> 24 [size =\"18481152\"]\n  2 [size=\"52449280\", alpha=\"0.16\", expect_size=\"20979712\"] \n  2 -> 13 [size =\"20979712\"]\n  2 -> 14 [size =\"20979712\"]\n  2 -> 17 [size =\"20979712\"]\n  2 -> 21 [size =\"20979712\"]\n  2 -> 22 [size =\"20979712\"]\n  2 -> 24 [size =\"20979712\"]\n  3 [size=\"102666240\", alpha=\"0.12\", expect_size=\"41066496\"] \n  3 -> 12 [size =\"41066496\"]\n  3 -> 13 [size =\"41066496\"]\n  3 -> 14 [size =\"41066496\"]\n  3 -> 17 [size =\"41066496\"]\n  3 -> 19 [size =\"41066496\"]\n  3 -> 20 [size =\"41066496\"]\n  3 -> 21 [size =\"41066496\"]\n  3 -> 24 [size =\"41066496\"]\n  4 [size=\"122488320\", alpha=\"0.16\", expect_size=\"48995328\"] \n  4 -> 12 [size =\"48995328\"]\n  4 -> 15 [size =\"48995328\"]\n  4 -> 16 [size =\"48995328\"]\n  4 -> 17 [size =\"48995328\"]\n  4 -> 18 [size =\"48995328\"]\n  4 -> 20 [size =\"48995328\"]\n  4 -> 21 [size =\"48995328\"]\n  4 -> 23 [size =\"48995328\"]\n  5 [size=\"128084480\", alpha=\"0.16\", expect_size=\"51233792\"] \n  5 -> 12 [size =\"51233792\"]\n  5 -> 16 [size =\"51233792\"]\n  5 -> 17 [size =\"51233792\"]\n  5 -> 19 [size =\"51233792\"]\n  5 -> 22 [size =\"51233792\"]\n  5 -> 24 [size =\"51233792\"]\n  6 [size=\"128849920\", alpha=\"0.13\", expect_size=\"51539968\"] \n  6 -> 12 [size =\"51539968\"]\n  6 -> 13 [size =\"51539968\"]\n  6 -> 17 [size =\"51539968\"]\n  6 -> 19 [size =\"51539968\"]\n  6 -> 20 [size =\"51539968\"]\n  6 -> 23 [size =\"51539968\"]\n  7 [size=\"94144000\", alpha=\"0.19\", expect_size=\"37657600\"] \n  7 -> 14 [size =\"37657600\"]\n  7 -> 16 [size =\"37657600\"]\n  7 -> 17 [size =\"37657600\"]\n  7 -> 23 [size =\"37657600\"]\n  8 [size=\"62581760\", alpha=\"0.02\", expect_size=\"25032704\"] \n  8 -> 16 [size =\"25032704\"]\n  8 -> 23 [size =\"25032704\"]\n  9 [size=\"89090560\", alpha=\"0.11\", expect_size=\"35636224\"] \n  9 -> 14 [size =\"35636224\"]\n  9 -> 16 [size =\"35636224\"]\n  9 -> 17 [size =\"35636224\"]\n  9 -> 19 [size =\"35636224\"]\n  9 -> 24 [size =\"35636224\"]\n  10 [size=\"90839040\", alpha=\"0.02\", expect_size=\"36335616\"] \n  10 -> 12 [size =\"36335616\"]\n  10 -> 13 [size =\"36335616\"]\n  10 -> 16 [size =\"36335616\"]\n  10 -> 20 [size =\"36335616\"]\n  10 -> 24 [size =\"36335616\"]\n  10 -> 25 [size =\"36335616\"]\n  11 [size=\"126640640\", alpha=\"0.14\", expect_size=\"50656256\"] \n  11 -> 12 [size =\"50656256\"]\n  11 -> 13 [size =\"50656256\"]\n  11 -> 22 [size =\"50656256\"]\n  12 [size=\"15982080\", alpha=\"0.02\", expect_size=\"6392832\"] \n  12 -> 27 [size =\"6392832\"]\n  12 -> 34 [size =\"6392832\"]\n  12 -> 35 [size =\"6392832\"]\n  12 -> 36 [size =\"6392832\"]\n  12 -> 37 [size =\"6392832\"]\n  12 -> 38 [size =\"6392832\"]\n  13 [size=\"113269760\", alpha=\"0.01\", expect_size=\"45307904\"] \n  13 -> 27 [size =\"45307904\"]\n  13 -> 35 [size =\"45307904\"]\n  13 -> 36 [size =\"45307904\"]\n  14 [size=\"64965120\", alpha=\"0.12\", expect_size=\"25986048\"] \n  14 -> 26 [size =\"25986048\"]\n  14 -> 29 [size =\"25986048\"]\n  14 -> 30 [size =\"25986048\"]\n  14 -> 32 [size =\"25986048\"]\n  14 -> 35 [size =\"25986048\"]\n  15 [size=\"41925120\", alpha=\"0.05\", expect_size=\"16770048\"] \n  15 -> 26 [size =\"16770048\"]\n  15 -> 28 [size =\"16770048\"]\n  15 -> 29 [size =\"16770048\"]\n  15 -> 34 [size =\"16770048\"]\n  15 -> 36 [size =\"16770048\"]\n  16 [size=\"19315200\", alpha=\"0.05\", expect_size=\"7726080\"] \n  16 -> 28 [size =\"7726080\"]\n  16 -> 29 [size =\"7726080\"]\n  16 -> 30 [size =\"7726080\"]\n  16 -> 34 [size =\"7726080\"]\n  17 [size=\"98385920\", alpha=\"0.01\", expect_size=\"39354368\"] \n  17 -> 29 [size =\"39354368\"]\n  17 -> 30 [size =\"39354368\"]\n  17 -> 32 [size =\"39354368\"]\n  17 -> 35 [size =\"39354368\"]\n  17 -> 37 [size =\"39354368\"]\n  18 [size=\"94412800\", alpha=\"0.00\", expect_size=\"37765120\"] \n  18 -> 30 [size =\"37765120\"]\n  18 -> 33 [size =\"37765120\"]\n  18 -> 34 [size =\"37765120\"]\n  18 -> 36 [size =\"37765120\"]\n  18 -> 38 [size =\"37765120\"]\n  19 [size=\"103836160\", alpha=\"0.08\", expect_size=\"41534464\"] \n  19 -> 27 [size =\"41534464\"]\n  19 -> 29 [size =\"41534464\"]\n  19 -> 30 [size =\"41534464\"]\n  19 -> 36 [size =\"41534464\"]\n  20 [size=\"49917440\", alpha=\"0.16\", expect_size=\"19966976\"] \n  20 -> 27 [size =\"19966976\"]\n  20 -> 37 [size =\"19966976\"]\n  20 -> 38 [size =\"19966976\"]\n  21 [size=\"62937600\", alpha=\"0.09\", expect_size=\"25175040\"] \n  21 -> 26 [size =\"25175040\"]\n  21 -> 27 [size =\"25175040\"]\n  21 -> 30 [size =\"25175040\"]\n  21 -> 31 [size =\"25175040\"]\n  21 -> 32 [size =\"25175040\"]\n  21 -> 36 [size =\"25175040\"]\n  21 -> 38 [size =\"25175040\"]\n  22 [size=\"29291520\", alpha=\"0.08\", expect_size=\"11716608\"] \n  22 -> 26 [size =\"11716608\"]\n  22 -> 29 [size =\"11716608\"]\n  22 -> 30 [size =\"11716608\"]\n  22 -> 31 [size =\"11716608\"]\n  22 -> 32 [size =\"11716608\"]\n  22 -> 34 [size =\"11716608\"]\n  22 -> 35 [size =\"11716608\"]\n  22 -> 36 [size =\"11716608\"]\n  22 -> 38 [size =\"11716608\"]\n  23 [size=\"40704000\", alpha=\"0.03\", expect_size=\"16281600\"] \n  23 -> 30 [size =\"16281600\"]\n  23 -> 36 [size =\"16281600\"]\n  23 -> 38 [size =\"16281600\"]\n  24 [size=\"46661120\", alpha=\"0.16\", expect_size=\"18664448\"] \n  24 -> 26 [size =\"18664448\"]\n  24 -> 27 [size =\"18664448\"]\n  24 -> 29 [size =\"18664448\"]\n  24 -> 37 [size =\"18664448\"]\n  25 [size=\"114503680\", alpha=\"0.09\", expect_size=\"45801472\"] \n  25 -> 27 [size =\"45801472\"]\n  25 -> 32 [size =\"45801472\"]\n  25 -> 36 [size =\"45801472\"]\n  25 -> 37 [size =\"45801472\"]\n  26 [size=\"27450880\", alpha=\"0.01\", expect_size=\"10980352\"] \n  27 [size=\"56079360\", alpha=\"0.08\", expect_size=\"22431744\"] \n  27 -> 39 [size =\"22431744\"]\n  27 -> 40 [size =\"22431744\"]\n  28 [size=\"60892160\", alpha=\"0.02\", expect_size=\"24356864\"] \n  28 -> 40 [size =\"24356864\"]\n  29 [size=\"62912000\", alpha=\"0.10\", expect_size=\"25164800\"] \n  30 [size=\"111810560\", alpha=\"0.10\", expect_size=\"44724224\"] \n  30 -> 39 [size =\"44724224\"]\n  30 -> 40 [size =\"44724224\"]\n  31 [size=\"85893120\", alpha=\"0.10\", expect_size=\"34357248\"] \n  31 -> 39 [size =\"34357248\"]\n  31 -> 40 [size =\"34357248\"]\n  32 [size=\"18252800\", alpha=\"0.11\", expect_size=\"7301120\"] \n  32 -> 39 [size =\"7301120\"]\n  33 [size=\"66201600\", alpha=\"0.08\", expect_size=\"26480640\"] \n  33 -> 39 [size =\"26480640\"]\n  33 -> 40 [size =\"26480640\"]\n  34 [size=\"83366400\", alpha=\"0.14\", expect_size=\"33346560\"] \n  35 [size=\"61168640\", alpha=\"0.05\", expect_size=\"24467456\"] \n  35 -> 39 [size =\"24467456\"]\n  36 [size=\"114583040\", alpha=\"0.17\", expect_size=\"45833216\"] \n  36 -> 39 [size =\"45833216\"]\n  37 [size=\"123427840\", alpha=\"0.04\", expect_size=\"49371136\"] \n  37 -> 40 [size =\"49371136\"]\n  38 [size=\"50775040\", alpha=\"0.04\", expect_size=\"20310016\"] \n  39 [size=\"64064000\", alpha=\"0.20\", expect_size=\"25625600\"] \n  40 [size=\"121315840\", alpha=\"0.02\", expect_size=\"48526336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46080000\", alpha=\"0.15\", expect_size=\"23040000\"] \n  1 -> 21 [size =\"23040000\"]\n  1 -> 22 [size =\"23040000\"]\n  1 -> 23 [size =\"23040000\"]\n  1 -> 30 [size =\"23040000\"]\n  1 -> 31 [size =\"23040000\"]\n  1 -> 33 [size =\"23040000\"]\n  2 [size=\"46309376\", alpha=\"0.06\", expect_size=\"23154688\"] \n  2 -> 22 [size =\"23154688\"]\n  2 -> 22 [size =\"23154688\"]\n  2 -> 23 [size =\"23154688\"]\n  2 -> 26 [size =\"23154688\"]\n  3 [size=\"64929792\", alpha=\"0.04\", expect_size=\"32464896\"] \n  3 -> 20 [size =\"32464896\"]\n  3 -> 21 [size =\"32464896\"]\n  3 -> 22 [size =\"32464896\"]\n  3 -> 23 [size =\"32464896\"]\n  3 -> 24 [size =\"32464896\"]\n  3 -> 25 [size =\"32464896\"]\n  3 -> 27 [size =\"32464896\"]\n  3 -> 28 [size =\"32464896\"]\n  3 -> 30 [size =\"32464896\"]\n  4 [size=\"50114560\", alpha=\"0.13\", expect_size=\"25057280\"] \n  4 -> 21 [size =\"25057280\"]\n  4 -> 22 [size =\"25057280\"]\n  4 -> 23 [size =\"25057280\"]\n  4 -> 25 [size =\"25057280\"]\n  4 -> 31 [size =\"25057280\"]\n  5 [size=\"40431616\", alpha=\"0.10\", expect_size=\"20215808\"] \n  5 -> 21 [size =\"20215808\"]\n  5 -> 23 [size =\"20215808\"]\n  5 -> 23 [size =\"20215808\"]\n  5 -> 25 [size =\"20215808\"]\n  5 -> 33 [size =\"20215808\"]\n  6 [size=\"50542592\", alpha=\"0.11\", expect_size=\"25271296\"] \n  6 -> 29 [size =\"25271296\"]\n  6 -> 30 [size =\"25271296\"]\n  6 -> 33 [size =\"25271296\"]\n  7 [size=\"65912832\", alpha=\"0.04\", expect_size=\"32956416\"] \n  7 -> 23 [size =\"32956416\"]\n  7 -> 24 [size =\"32956416\"]\n  7 -> 28 [size =\"32956416\"]\n  7 -> 29 [size =\"32956416\"]\n  7 -> 31 [size =\"32956416\"]\n  7 -> 32 [size =\"32956416\"]\n  8 [size=\"81809408\", alpha=\"0.08\", expect_size=\"40904704\"] \n  8 -> 21 [size =\"40904704\"]\n  8 -> 22 [size =\"40904704\"]\n  8 -> 23 [size =\"40904704\"]\n  8 -> 28 [size =\"40904704\"]\n  8 -> 29 [size =\"40904704\"]\n  8 -> 33 [size =\"40904704\"]\n  9 [size=\"71878656\", alpha=\"0.03\", expect_size=\"35939328\"] \n  9 -> 20 [size =\"35939328\"]\n  9 -> 24 [size =\"35939328\"]\n  9 -> 28 [size =\"35939328\"]\n  9 -> 29 [size =\"35939328\"]\n  9 -> 29 [size =\"35939328\"]\n  9 -> 31 [size =\"35939328\"]\n  10 [size=\"66519040\", alpha=\"0.17\", expect_size=\"33259520\"] \n  10 -> 20 [size =\"33259520\"]\n  10 -> 21 [size =\"33259520\"]\n  10 -> 24 [size =\"33259520\"]\n  10 -> 26 [size =\"33259520\"]\n  10 -> 27 [size =\"33259520\"]\n  10 -> 28 [size =\"33259520\"]\n  11 [size=\"87058432\", alpha=\"0.05\", expect_size=\"43529216\"] \n  11 -> 20 [size =\"43529216\"]\n  11 -> 21 [size =\"43529216\"]\n  11 -> 23 [size =\"43529216\"]\n  11 -> 24 [size =\"43529216\"]\n  11 -> 25 [size =\"43529216\"]\n  11 -> 26 [size =\"43529216\"]\n  11 -> 28 [size =\"43529216\"]\n  11 -> 29 [size =\"43529216\"]\n  11 -> 31 [size =\"43529216\"]\n  11 -> 34 [size =\"43529216\"]\n  12 [size=\"64937984\", alpha=\"0.11\", expect_size=\"32468992\"] \n  12 -> 20 [size =\"32468992\"]\n  12 -> 22 [size =\"32468992\"]\n  12 -> 23 [size =\"32468992\"]\n  12 -> 24 [size =\"32468992\"]\n  12 -> 26 [size =\"32468992\"]\n  12 -> 28 [size =\"32468992\"]\n  12 -> 30 [size =\"32468992\"]\n  13 [size=\"92805120\", alpha=\"0.14\", expect_size=\"46402560\"] \n  13 -> 20 [size =\"46402560\"]\n  13 -> 22 [size =\"46402560\"]\n  13 -> 26 [size =\"46402560\"]\n  13 -> 29 [size =\"46402560\"]\n  13 -> 33 [size =\"46402560\"]\n  14 [size=\"15779840\", alpha=\"0.13\", expect_size=\"7889920\"] \n  14 -> 20 [size =\"7889920\"]\n  14 -> 21 [size =\"7889920\"]\n  14 -> 25 [size =\"7889920\"]\n  14 -> 26 [size =\"7889920\"]\n  14 -> 28 [size =\"7889920\"]\n  14 -> 29 [size =\"7889920\"]\n  14 -> 30 [size =\"7889920\"]\n  14 -> 31 [size =\"7889920\"]\n  14 -> 33 [size =\"7889920\"]\n  15 [size=\"77869056\", alpha=\"0.16\", expect_size=\"38934528\"] \n  15 -> 20 [size =\"38934528\"]\n  15 -> 21 [size =\"38934528\"]\n  15 -> 24 [size =\"38934528\"]\n  15 -> 26 [size =\"38934528\"]\n  15 -> 30 [size =\"38934528\"]\n  16 [size=\"28866560\", alpha=\"0.11\", expect_size=\"14433280\"] \n  16 -> 22 [size =\"14433280\"]\n  16 -> 29 [size =\"14433280\"]\n  16 -> 30 [size =\"14433280\"]\n  17 [size=\"81483776\", alpha=\"0.13\", expect_size=\"40741888\"] \n  17 -> 20 [size =\"40741888\"]\n  17 -> 22 [size =\"40741888\"]\n  17 -> 23 [size =\"40741888\"]\n  17 -> 24 [size =\"40741888\"]\n  17 -> 25 [size =\"40741888\"]\n  17 -> 26 [size =\"40741888\"]\n  17 -> 28 [size =\"40741888\"]\n  17 -> 31 [size =\"40741888\"]\n  17 -> 32 [size =\"40741888\"]\n  18 [size=\"101255168\", alpha=\"0.00\", expect_size=\"50627584\"] \n  18 -> 20 [size =\"50627584\"]\n  18 -> 24 [size =\"50627584\"]\n  18 -> 30 [size =\"50627584\"]\n  18 -> 31 [size =\"50627584\"]\n  19 [size=\"45748224\", alpha=\"0.19\", expect_size=\"22874112\"] \n  19 -> 20 [size =\"22874112\"]\n  19 -> 22 [size =\"22874112\"]\n  19 -> 26 [size =\"22874112\"]\n  19 -> 30 [size =\"22874112\"]\n  19 -> 31 [size =\"22874112\"]\n  19 -> 33 [size =\"22874112\"]\n  20 [size=\"61044736\", alpha=\"0.17\", expect_size=\"30522368\"] \n  20 -> 39 [size =\"30522368\"]\n  21 [size=\"47296512\", alpha=\"0.03\", expect_size=\"23648256\"] \n  22 [size=\"72308736\", alpha=\"0.17\", expect_size=\"36154368\"] \n  22 -> 36 [size =\"36154368\"]\n  22 -> 37 [size =\"36154368\"]\n  22 -> 38 [size =\"36154368\"]\n  23 [size=\"30451712\", alpha=\"0.01\", expect_size=\"15225856\"] \n  24 [size=\"96925696\", alpha=\"0.15\", expect_size=\"48462848\"] \n  24 -> 37 [size =\"48462848\"]\n  24 -> 38 [size =\"48462848\"]\n  25 [size=\"64544768\", alpha=\"0.14\", expect_size=\"32272384\"] \n  25 -> 38 [size =\"32272384\"]\n  25 -> 39 [size =\"32272384\"]\n  26 [size=\"46002176\", alpha=\"0.03\", expect_size=\"23001088\"] \n  27 [size=\"95668224\", alpha=\"0.03\", expect_size=\"47834112\"] \n  27 -> 35 [size =\"47834112\"]\n  27 -> 38 [size =\"47834112\"]\n  27 -> 39 [size =\"47834112\"]\n  28 [size=\"63698944\", alpha=\"0.18\", expect_size=\"31849472\"] \n  28 -> 37 [size =\"31849472\"]\n  28 -> 38 [size =\"31849472\"]\n  29 [size=\"65550336\", alpha=\"0.06\", expect_size=\"32775168\"] \n  29 -> 39 [size =\"32775168\"]\n  29 -> 40 [size =\"32775168\"]\n  30 [size=\"61200384\", alpha=\"0.06\", expect_size=\"30600192\"] \n  30 -> 37 [size =\"30600192\"]\n  30 -> 38 [size =\"30600192\"]\n  30 -> 40 [size =\"30600192\"]\n  31 [size=\"48617472\", alpha=\"0.02\", expect_size=\"24308736\"] \n  31 -> 37 [size =\"24308736\"]\n  31 -> 38 [size =\"24308736\"]\n  31 -> 39 [size =\"24308736\"]\n  31 -> 40 [size =\"24308736\"]\n  32 [size=\"63395840\", alpha=\"0.09\", expect_size=\"31697920\"] \n  32 -> 36 [size =\"31697920\"]\n  32 -> 38 [size =\"31697920\"]\n  32 -> 40 [size =\"31697920\"]\n  32 -> 40 [size =\"31697920\"]\n  33 [size=\"46989312\", alpha=\"0.14\", expect_size=\"23494656\"] \n  33 -> 39 [size =\"23494656\"]\n  33 -> 40 [size =\"23494656\"]\n  34 [size=\"53843968\", alpha=\"0.01\", expect_size=\"26921984\"] \n  34 -> 36 [size =\"26921984\"]\n  34 -> 39 [size =\"26921984\"]\n  35 [size=\"29214720\", alpha=\"0.01\", expect_size=\"14607360\"] \n  36 [size=\"97423360\", alpha=\"0.06\", expect_size=\"48711680\"] \n  37 [size=\"15409152\", alpha=\"0.05\", expect_size=\"7704576\"] \n  38 [size=\"27346944\", alpha=\"0.04\", expect_size=\"13673472\"] \n  39 [size=\"15816704\", alpha=\"0.10\", expect_size=\"7908352\"] \n  40 [size=\"42215424\", alpha=\"0.07\", expect_size=\"21107712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96271360\", alpha=\"0.06\", expect_size=\"38508544\"] \n  1 -> 4 [size =\"38508544\"]\n  2 [size=\"26467840\", alpha=\"0.02\", expect_size=\"10587136\"] \n  2 -> 3 [size =\"10587136\"]\n  3 [size=\"16225280\", alpha=\"0.17\", expect_size=\"6490112\"] \n  3 -> 6 [size =\"6490112\"]\n  4 [size=\"116887040\", alpha=\"0.16\", expect_size=\"46754816\"] \n  4 -> 5 [size =\"46754816\"]\n  4 -> 6 [size =\"46754816\"]\n  4 -> 7 [size =\"46754816\"]\n  5 [size=\"72860160\", alpha=\"0.01\", expect_size=\"29144064\"] \n  5 -> 8 [size =\"29144064\"]\n  5 -> 9 [size =\"29144064\"]\n  5 -> 10 [size =\"29144064\"]\n  6 [size=\"107248640\", alpha=\"0.20\", expect_size=\"42899456\"] \n  6 -> 8 [size =\"42899456\"]\n  6 -> 10 [size =\"42899456\"]\n  7 [size=\"124367360\", alpha=\"0.05\", expect_size=\"49746944\"] \n  7 -> 8 [size =\"49746944\"]\n  7 -> 9 [size =\"49746944\"]\n  8 [size=\"114854400\", alpha=\"0.05\", expect_size=\"45941760\"] \n  8 -> 11 [size =\"45941760\"]\n  8 -> 12 [size =\"45941760\"]\n  9 [size=\"29104640\", alpha=\"0.03\", expect_size=\"11641856\"] \n  9 -> 11 [size =\"11641856\"]\n  10 [size=\"91000320\", alpha=\"0.07\", expect_size=\"36400128\"] \n  11 [size=\"70999040\", alpha=\"0.00\", expect_size=\"28399616\"] \n  11 -> 13 [size =\"28399616\"]\n  11 -> 14 [size =\"28399616\"]\n  12 [size=\"105891840\", alpha=\"0.16\", expect_size=\"42356736\"] \n  12 -> 13 [size =\"42356736\"]\n  12 -> 14 [size =\"42356736\"]\n  13 [size=\"115504640\", alpha=\"0.04\", expect_size=\"46201856\"] \n  13 -> 15 [size =\"46201856\"]\n  13 -> 16 [size =\"46201856\"]\n  14 [size=\"99502080\", alpha=\"0.13\", expect_size=\"39800832\"] \n  14 -> 15 [size =\"39800832\"]\n  15 [size=\"77365760\", alpha=\"0.08\", expect_size=\"30946304\"] \n  15 -> 17 [size =\"30946304\"]\n  15 -> 18 [size =\"30946304\"]\n  15 -> 19 [size =\"30946304\"]\n  16 [size=\"82071040\", alpha=\"0.16\", expect_size=\"32828416\"] \n  16 -> 18 [size =\"32828416\"]\n  17 [size=\"79554560\", alpha=\"0.05\", expect_size=\"31821824\"] \n  18 [size=\"109818880\", alpha=\"0.04\", expect_size=\"43927552\"] \n  18 -> 21 [size =\"43927552\"]\n  19 [size=\"20544000\", alpha=\"0.18\", expect_size=\"8217600\"] \n  19 -> 20 [size =\"8217600\"]\n  19 -> 21 [size =\"8217600\"]\n  20 [size=\"35558400\", alpha=\"0.02\", expect_size=\"14223360\"] \n  20 -> 23 [size =\"14223360\"]\n  20 -> 24 [size =\"14223360\"]\n  21 [size=\"75696640\", alpha=\"0.01\", expect_size=\"30278656\"] \n  21 -> 22 [size =\"30278656\"]\n  21 -> 23 [size =\"30278656\"]\n  22 [size=\"78274560\", alpha=\"0.01\", expect_size=\"31309824\"] \n  22 -> 25 [size =\"31309824\"]\n  23 [size=\"52894720\", alpha=\"0.02\", expect_size=\"21157888\"] \n  23 -> 25 [size =\"21157888\"]\n  23 -> 26 [size =\"21157888\"]\n  24 [size=\"75479040\", alpha=\"0.01\", expect_size=\"30191616\"] \n  25 [size=\"32983040\", alpha=\"0.10\", expect_size=\"13193216\"] \n  25 -> 27 [size =\"13193216\"]\n  26 [size=\"78735360\", alpha=\"0.15\", expect_size=\"31494144\"] \n  26 -> 27 [size =\"31494144\"]\n  26 -> 28 [size =\"31494144\"]\n  26 -> 29 [size =\"31494144\"]\n  27 [size=\"55567360\", alpha=\"0.18\", expect_size=\"22226944\"] \n  27 -> 32 [size =\"22226944\"]\n  28 [size=\"86174720\", alpha=\"0.19\", expect_size=\"34469888\"] \n  28 -> 32 [size =\"34469888\"]\n  29 [size=\"109936640\", alpha=\"0.03\", expect_size=\"43974656\"] \n  29 -> 30 [size =\"43974656\"]\n  29 -> 31 [size =\"43974656\"]\n  29 -> 32 [size =\"43974656\"]\n  30 [size=\"99683840\", alpha=\"0.20\", expect_size=\"39873536\"] \n  30 -> 33 [size =\"39873536\"]\n  30 -> 34 [size =\"39873536\"]\n  30 -> 35 [size =\"39873536\"]\n  31 [size=\"114240000\", alpha=\"0.06\", expect_size=\"45696000\"] \n  31 -> 33 [size =\"45696000\"]\n  31 -> 34 [size =\"45696000\"]\n  32 [size=\"118812160\", alpha=\"0.09\", expect_size=\"47524864\"] \n  32 -> 33 [size =\"47524864\"]\n  33 [size=\"126758400\", alpha=\"0.08\", expect_size=\"50703360\"] \n  33 -> 36 [size =\"50703360\"]\n  34 [size=\"23232000\", alpha=\"0.03\", expect_size=\"9292800\"] \n  34 -> 37 [size =\"9292800\"]\n  35 [size=\"29985280\", alpha=\"0.08\", expect_size=\"11994112\"] \n  36 [size=\"88803840\", alpha=\"0.05\", expect_size=\"35521536\"] \n  36 -> 38 [size =\"35521536\"]\n  37 [size=\"57902080\", alpha=\"0.13\", expect_size=\"23160832\"] \n  37 -> 39 [size =\"23160832\"]\n  38 [size=\"48540160\", alpha=\"0.18\", expect_size=\"19416064\"] \n  38 -> 40 [size =\"19416064\"]\n  39 [size=\"44503040\", alpha=\"0.04\", expect_size=\"17801216\"] \n  40 [size=\"61785600\", alpha=\"0.14\", expect_size=\"24714240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139380053\", alpha=\"0.00\", expect_size=\"41814016\"] \n  1 -> 34 [size =\"41814016\"]\n  1 -> 35 [size =\"41814016\"]\n  1 -> 36 [size =\"41814016\"]\n  1 -> 37 [size =\"41814016\"]\n  1 -> 38 [size =\"41814016\"]\n  1 -> 39 [size =\"41814016\"]\n  1 -> 40 [size =\"41814016\"]\n  2 [size=\"172264107\", alpha=\"0.00\", expect_size=\"51679232\"] \n  2 -> 31 [size =\"51679232\"]\n  2 -> 32 [size =\"51679232\"]\n  2 -> 33 [size =\"51679232\"]\n  2 -> 34 [size =\"51679232\"]\n  2 -> 35 [size =\"51679232\"]\n  2 -> 39 [size =\"51679232\"]\n  3 [size=\"33157120\", alpha=\"0.16\", expect_size=\"9947136\"] \n  3 -> 31 [size =\"9947136\"]\n  3 -> 32 [size =\"9947136\"]\n  3 -> 34 [size =\"9947136\"]\n  3 -> 34 [size =\"9947136\"]\n  3 -> 35 [size =\"9947136\"]\n  4 [size=\"32638293\", alpha=\"0.13\", expect_size=\"9791488\"] \n  4 -> 31 [size =\"9791488\"]\n  4 -> 32 [size =\"9791488\"]\n  4 -> 34 [size =\"9791488\"]\n  4 -> 35 [size =\"9791488\"]\n  4 -> 35 [size =\"9791488\"]\n  4 -> 39 [size =\"9791488\"]\n  5 [size=\"172441600\", alpha=\"0.04\", expect_size=\"51732480\"] \n  5 -> 32 [size =\"51732480\"]\n  5 -> 34 [size =\"51732480\"]\n  5 -> 34 [size =\"51732480\"]\n  5 -> 38 [size =\"51732480\"]\n  6 [size=\"133440853\", alpha=\"0.12\", expect_size=\"40032256\"] \n  6 -> 34 [size =\"40032256\"]\n  6 -> 38 [size =\"40032256\"]\n  7 [size=\"137373013\", alpha=\"0.20\", expect_size=\"41211904\"] \n  7 -> 31 [size =\"41211904\"]\n  7 -> 35 [size =\"41211904\"]\n  7 -> 37 [size =\"41211904\"]\n  7 -> 40 [size =\"41211904\"]\n  8 [size=\"60508160\", alpha=\"0.07\", expect_size=\"18152448\"] \n  8 -> 31 [size =\"18152448\"]\n  8 -> 39 [size =\"18152448\"]\n  8 -> 40 [size =\"18152448\"]\n  9 [size=\"144087040\", alpha=\"0.10\", expect_size=\"43226112\"] \n  9 -> 32 [size =\"43226112\"]\n  9 -> 34 [size =\"43226112\"]\n  9 -> 37 [size =\"43226112\"]\n  9 -> 38 [size =\"43226112\"]\n  9 -> 39 [size =\"43226112\"]\n  10 [size=\"39628800\", alpha=\"0.09\", expect_size=\"11888640\"] \n  10 -> 32 [size =\"11888640\"]\n  10 -> 35 [size =\"11888640\"]\n  10 -> 36 [size =\"11888640\"]\n  10 -> 39 [size =\"11888640\"]\n  10 -> 39 [size =\"11888640\"]\n  11 [size=\"58327040\", alpha=\"0.11\", expect_size=\"17498112\"] \n  11 -> 30 [size =\"17498112\"]\n  11 -> 32 [size =\"17498112\"]\n  11 -> 36 [size =\"17498112\"]\n  11 -> 37 [size =\"17498112\"]\n  11 -> 38 [size =\"17498112\"]\n  11 -> 39 [size =\"17498112\"]\n  11 -> 40 [size =\"17498112\"]\n  12 [size=\"60634453\", alpha=\"0.11\", expect_size=\"18190336\"] \n  12 -> 31 [size =\"18190336\"]\n  12 -> 36 [size =\"18190336\"]\n  12 -> 38 [size =\"18190336\"]\n  12 -> 40 [size =\"18190336\"]\n  13 [size=\"62419627\", alpha=\"0.14\", expect_size=\"18725888\"] \n  13 -> 31 [size =\"18725888\"]\n  13 -> 32 [size =\"18725888\"]\n  13 -> 34 [size =\"18725888\"]\n  13 -> 35 [size =\"18725888\"]\n  13 -> 36 [size =\"18725888\"]\n  13 -> 39 [size =\"18725888\"]\n  13 -> 40 [size =\"18725888\"]\n  14 [size=\"30098773\", alpha=\"0.08\", expect_size=\"9029632\"] \n  14 -> 31 [size =\"9029632\"]\n  14 -> 34 [size =\"9029632\"]\n  14 -> 40 [size =\"9029632\"]\n  15 [size=\"129416533\", alpha=\"0.11\", expect_size=\"38824960\"] \n  15 -> 31 [size =\"38824960\"]\n  15 -> 37 [size =\"38824960\"]\n  15 -> 40 [size =\"38824960\"]\n  16 [size=\"160525653\", alpha=\"0.12\", expect_size=\"48157696\"] \n  16 -> 31 [size =\"48157696\"]\n  16 -> 34 [size =\"48157696\"]\n  16 -> 36 [size =\"48157696\"]\n  16 -> 37 [size =\"48157696\"]\n  17 [size=\"101498880\", alpha=\"0.10\", expect_size=\"30449664\"] \n  17 -> 31 [size =\"30449664\"]\n  17 -> 35 [size =\"30449664\"]\n  17 -> 37 [size =\"30449664\"]\n  17 -> 40 [size =\"30449664\"]\n  18 [size=\"100526080\", alpha=\"0.07\", expect_size=\"30157824\"] \n  18 -> 38 [size =\"30157824\"]\n  18 -> 39 [size =\"30157824\"]\n  18 -> 40 [size =\"30157824\"]\n  19 [size=\"152661333\", alpha=\"0.04\", expect_size=\"45798400\"] \n  19 -> 32 [size =\"45798400\"]\n  19 -> 37 [size =\"45798400\"]\n  19 -> 38 [size =\"45798400\"]\n  19 -> 40 [size =\"45798400\"]\n  20 [size=\"75284480\", alpha=\"0.14\", expect_size=\"22585344\"] \n  20 -> 31 [size =\"22585344\"]\n  20 -> 36 [size =\"22585344\"]\n  20 -> 37 [size =\"22585344\"]\n  20 -> 40 [size =\"22585344\"]\n  21 [size=\"146848427\", alpha=\"0.20\", expect_size=\"44054528\"] \n  21 -> 31 [size =\"44054528\"]\n  21 -> 32 [size =\"44054528\"]\n  21 -> 38 [size =\"44054528\"]\n  22 [size=\"74045440\", alpha=\"0.05\", expect_size=\"22213632\"] \n  22 -> 31 [size =\"22213632\"]\n  22 -> 35 [size =\"22213632\"]\n  22 -> 36 [size =\"22213632\"]\n  23 [size=\"159122773\", alpha=\"0.12\", expect_size=\"47736832\"] \n  23 -> 31 [size =\"47736832\"]\n  23 -> 32 [size =\"47736832\"]\n  23 -> 37 [size =\"47736832\"]\n  24 [size=\"112168960\", alpha=\"0.01\", expect_size=\"33650688\"] \n  24 -> 31 [size =\"33650688\"]\n  24 -> 34 [size =\"33650688\"]\n  24 -> 35 [size =\"33650688\"]\n  25 [size=\"174083413\", alpha=\"0.09\", expect_size=\"52225024\"] \n  25 -> 31 [size =\"52225024\"]\n  25 -> 34 [size =\"52225024\"]\n  25 -> 36 [size =\"52225024\"]\n  25 -> 40 [size =\"52225024\"]\n  26 [size=\"100539733\", alpha=\"0.13\", expect_size=\"30161920\"] \n  26 -> 35 [size =\"30161920\"]\n  26 -> 36 [size =\"30161920\"]\n  26 -> 40 [size =\"30161920\"]\n  27 [size=\"38915413\", alpha=\"0.12\", expect_size=\"11674624\"] \n  27 -> 32 [size =\"11674624\"]\n  27 -> 35 [size =\"11674624\"]\n  27 -> 38 [size =\"11674624\"]\n  27 -> 39 [size =\"11674624\"]\n  27 -> 40 [size =\"11674624\"]\n  28 [size=\"115797333\", alpha=\"0.16\", expect_size=\"34739200\"] \n  28 -> 32 [size =\"34739200\"]\n  28 -> 35 [size =\"34739200\"]\n  28 -> 37 [size =\"34739200\"]\n  28 -> 40 [size =\"34739200\"]\n  29 [size=\"173257387\", alpha=\"0.16\", expect_size=\"51977216\"] \n  29 -> 34 [size =\"51977216\"]\n  29 -> 35 [size =\"51977216\"]\n  29 -> 37 [size =\"51977216\"]\n  30 [size=\"50121387\", alpha=\"0.19\", expect_size=\"15036416\"] \n  31 [size=\"162054827\", alpha=\"0.07\", expect_size=\"48616448\"] \n  32 [size=\"159098880\", alpha=\"0.01\", expect_size=\"47729664\"] \n  33 [size=\"38765227\", alpha=\"0.01\", expect_size=\"11629568\"] \n  34 [size=\"131304107\", alpha=\"0.02\", expect_size=\"39391232\"] \n  35 [size=\"137304747\", alpha=\"0.17\", expect_size=\"41191424\"] \n  36 [size=\"54452907\", alpha=\"0.11\", expect_size=\"16335872\"] \n  37 [size=\"155999573\", alpha=\"0.15\", expect_size=\"46799872\"] \n  38 [size=\"89982293\", alpha=\"0.09\", expect_size=\"26994688\"] \n  39 [size=\"56722773\", alpha=\"0.01\", expect_size=\"17016832\"] \n  40 [size=\"25548800\", alpha=\"0.01\", expect_size=\"7664640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46757888\", alpha=\"0.18\", expect_size=\"23378944\"] \n  1 -> 28 [size =\"23378944\"]\n  1 -> 32 [size =\"23378944\"]\n  1 -> 37 [size =\"23378944\"]\n  2 [size=\"98328576\", alpha=\"0.02\", expect_size=\"49164288\"] \n  2 -> 27 [size =\"49164288\"]\n  2 -> 29 [size =\"49164288\"]\n  2 -> 37 [size =\"49164288\"]\n  2 -> 40 [size =\"49164288\"]\n  3 [size=\"30959616\", alpha=\"0.06\", expect_size=\"15479808\"] \n  3 -> 27 [size =\"15479808\"]\n  3 -> 30 [size =\"15479808\"]\n  3 -> 32 [size =\"15479808\"]\n  3 -> 35 [size =\"15479808\"]\n  3 -> 38 [size =\"15479808\"]\n  3 -> 40 [size =\"15479808\"]\n  4 [size=\"50876416\", alpha=\"0.15\", expect_size=\"25438208\"] \n  4 -> 31 [size =\"25438208\"]\n  4 -> 32 [size =\"25438208\"]\n  4 -> 32 [size =\"25438208\"]\n  4 -> 35 [size =\"25438208\"]\n  4 -> 36 [size =\"25438208\"]\n  4 -> 40 [size =\"25438208\"]\n  5 [size=\"102782976\", alpha=\"0.11\", expect_size=\"51391488\"] \n  5 -> 37 [size =\"51391488\"]\n  5 -> 40 [size =\"51391488\"]\n  6 [size=\"83857408\", alpha=\"0.19\", expect_size=\"41928704\"] \n  6 -> 31 [size =\"41928704\"]\n  6 -> 33 [size =\"41928704\"]\n  6 -> 35 [size =\"41928704\"]\n  6 -> 36 [size =\"41928704\"]\n  7 [size=\"97409024\", alpha=\"0.18\", expect_size=\"48704512\"] \n  7 -> 27 [size =\"48704512\"]\n  7 -> 31 [size =\"48704512\"]\n  7 -> 33 [size =\"48704512\"]\n  7 -> 36 [size =\"48704512\"]\n  8 [size=\"60760064\", alpha=\"0.16\", expect_size=\"30380032\"] \n  8 -> 27 [size =\"30380032\"]\n  8 -> 31 [size =\"30380032\"]\n  8 -> 33 [size =\"30380032\"]\n  8 -> 34 [size =\"30380032\"]\n  9 [size=\"33572864\", alpha=\"0.14\", expect_size=\"16786432\"] \n  9 -> 26 [size =\"16786432\"]\n  9 -> 27 [size =\"16786432\"]\n  9 -> 33 [size =\"16786432\"]\n  9 -> 35 [size =\"16786432\"]\n  9 -> 38 [size =\"16786432\"]\n  10 [size=\"38076416\", alpha=\"0.17\", expect_size=\"19038208\"] \n  10 -> 26 [size =\"19038208\"]\n  10 -> 27 [size =\"19038208\"]\n  10 -> 30 [size =\"19038208\"]\n  10 -> 33 [size =\"19038208\"]\n  10 -> 34 [size =\"19038208\"]\n  10 -> 36 [size =\"19038208\"]\n  11 [size=\"33284096\", alpha=\"0.12\", expect_size=\"16642048\"] \n  11 -> 27 [size =\"16642048\"]\n  11 -> 33 [size =\"16642048\"]\n  11 -> 35 [size =\"16642048\"]\n  12 [size=\"22667264\", alpha=\"0.06\", expect_size=\"11333632\"] \n  12 -> 26 [size =\"11333632\"]\n  12 -> 27 [size =\"11333632\"]\n  12 -> 30 [size =\"11333632\"]\n  12 -> 31 [size =\"11333632\"]\n  12 -> 36 [size =\"11333632\"]\n  13 [size=\"32737280\", alpha=\"0.13\", expect_size=\"16368640\"] \n  13 -> 31 [size =\"16368640\"]\n  13 -> 32 [size =\"16368640\"]\n  13 -> 35 [size =\"16368640\"]\n  13 -> 39 [size =\"16368640\"]\n  14 [size=\"62881792\", alpha=\"0.13\", expect_size=\"31440896\"] \n  14 -> 28 [size =\"31440896\"]\n  14 -> 35 [size =\"31440896\"]\n  14 -> 36 [size =\"31440896\"]\n  15 [size=\"38498304\", alpha=\"0.04\", expect_size=\"19249152\"] \n  15 -> 28 [size =\"19249152\"]\n  15 -> 31 [size =\"19249152\"]\n  15 -> 32 [size =\"19249152\"]\n  15 -> 37 [size =\"19249152\"]\n  16 [size=\"92135424\", alpha=\"0.14\", expect_size=\"46067712\"] \n  16 -> 26 [size =\"46067712\"]\n  16 -> 27 [size =\"46067712\"]\n  16 -> 29 [size =\"46067712\"]\n  16 -> 31 [size =\"46067712\"]\n  16 -> 32 [size =\"46067712\"]\n  16 -> 40 [size =\"46067712\"]\n  17 [size=\"88037376\", alpha=\"0.03\", expect_size=\"44018688\"] \n  17 -> 29 [size =\"44018688\"]\n  17 -> 33 [size =\"44018688\"]\n  17 -> 36 [size =\"44018688\"]\n  18 [size=\"79403008\", alpha=\"0.10\", expect_size=\"39701504\"] \n  18 -> 28 [size =\"39701504\"]\n  18 -> 29 [size =\"39701504\"]\n  18 -> 31 [size =\"39701504\"]\n  18 -> 33 [size =\"39701504\"]\n  18 -> 35 [size =\"39701504\"]\n  18 -> 36 [size =\"39701504\"]\n  19 [size=\"60534784\", alpha=\"0.05\", expect_size=\"30267392\"] \n  19 -> 32 [size =\"30267392\"]\n  20 [size=\"32620544\", alpha=\"0.10\", expect_size=\"16310272\"] \n  20 -> 32 [size =\"16310272\"]\n  20 -> 40 [size =\"16310272\"]\n  21 [size=\"20262912\", alpha=\"0.03\", expect_size=\"10131456\"] \n  21 -> 31 [size =\"10131456\"]\n  21 -> 32 [size =\"10131456\"]\n  21 -> 35 [size =\"10131456\"]\n  21 -> 40 [size =\"10131456\"]\n  22 [size=\"76210176\", alpha=\"0.14\", expect_size=\"38105088\"] \n  22 -> 30 [size =\"38105088\"]\n  22 -> 31 [size =\"38105088\"]\n  22 -> 32 [size =\"38105088\"]\n  22 -> 35 [size =\"38105088\"]\n  23 [size=\"12072960\", alpha=\"0.09\", expect_size=\"6036480\"] \n  23 -> 27 [size =\"6036480\"]\n  23 -> 28 [size =\"6036480\"]\n  23 -> 35 [size =\"6036480\"]\n  24 [size=\"73646080\", alpha=\"0.13\", expect_size=\"36823040\"] \n  24 -> 27 [size =\"36823040\"]\n  24 -> 29 [size =\"36823040\"]\n  24 -> 31 [size =\"36823040\"]\n  24 -> 38 [size =\"36823040\"]\n  24 -> 40 [size =\"36823040\"]\n  25 [size=\"40617984\", alpha=\"0.17\", expect_size=\"20308992\"] \n  25 -> 27 [size =\"20308992\"]\n  25 -> 38 [size =\"20308992\"]\n  25 -> 39 [size =\"20308992\"]\n  25 -> 40 [size =\"20308992\"]\n  26 [size=\"60594176\", alpha=\"0.16\", expect_size=\"30297088\"] \n  27 [size=\"30275584\", alpha=\"0.14\", expect_size=\"15137792\"] \n  28 [size=\"46708736\", alpha=\"0.02\", expect_size=\"23354368\"] \n  29 [size=\"95610880\", alpha=\"0.15\", expect_size=\"47805440\"] \n  30 [size=\"26896384\", alpha=\"0.14\", expect_size=\"13448192\"] \n  31 [size=\"75266048\", alpha=\"0.18\", expect_size=\"37633024\"] \n  32 [size=\"88246272\", alpha=\"0.04\", expect_size=\"44123136\"] \n  33 [size=\"59310080\", alpha=\"0.15\", expect_size=\"29655040\"] \n  34 [size=\"103307264\", alpha=\"0.17\", expect_size=\"51653632\"] \n  35 [size=\"71880704\", alpha=\"0.05\", expect_size=\"35940352\"] \n  36 [size=\"57331712\", alpha=\"0.11\", expect_size=\"28665856\"] \n  37 [size=\"38658048\", alpha=\"0.13\", expect_size=\"19329024\"] \n  38 [size=\"102782976\", alpha=\"0.09\", expect_size=\"51391488\"] \n  39 [size=\"16871424\", alpha=\"0.16\", expect_size=\"8435712\"] \n  40 [size=\"87121920\", alpha=\"0.08\", expect_size=\"43560960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66732032\", alpha=\"0.08\", expect_size=\"33366016\"] \n  1 -> 2 [size =\"33366016\"]\n  2 [size=\"95248384\", alpha=\"0.07\", expect_size=\"47624192\"] \n  2 -> 3 [size =\"47624192\"]\n  3 [size=\"46460928\", alpha=\"0.14\", expect_size=\"23230464\"] \n  3 -> 4 [size =\"23230464\"]\n  4 [size=\"32851968\", alpha=\"0.05\", expect_size=\"16425984\"] \n  4 -> 5 [size =\"16425984\"]\n  5 [size=\"42883072\", alpha=\"0.00\", expect_size=\"21441536\"] \n  5 -> 6 [size =\"21441536\"]\n  6 [size=\"24541184\", alpha=\"0.03\", expect_size=\"12270592\"] \n  6 -> 7 [size =\"12270592\"]\n  7 [size=\"38406144\", alpha=\"0.02\", expect_size=\"19203072\"] \n  7 -> 8 [size =\"19203072\"]\n  8 [size=\"36012032\", alpha=\"0.06\", expect_size=\"18006016\"] \n  8 -> 9 [size =\"18006016\"]\n  9 [size=\"79767552\", alpha=\"0.14\", expect_size=\"39883776\"] \n  9 -> 10 [size =\"39883776\"]\n  10 [size=\"17035264\", alpha=\"0.17\", expect_size=\"8517632\"] \n  10 -> 11 [size =\"8517632\"]\n  11 [size=\"79513600\", alpha=\"0.07\", expect_size=\"39756800\"] \n  11 -> 12 [size =\"39756800\"]\n  12 [size=\"24053760\", alpha=\"0.03\", expect_size=\"12026880\"] \n  12 -> 13 [size =\"12026880\"]\n  13 [size=\"59129856\", alpha=\"0.19\", expect_size=\"29564928\"] \n  13 -> 14 [size =\"29564928\"]\n  14 [size=\"28491776\", alpha=\"0.19\", expect_size=\"14245888\"] \n  14 -> 15 [size =\"14245888\"]\n  15 [size=\"50987008\", alpha=\"0.17\", expect_size=\"25493504\"] \n  15 -> 16 [size =\"25493504\"]\n  16 [size=\"51935232\", alpha=\"0.19\", expect_size=\"25967616\"] \n  16 -> 17 [size =\"25967616\"]\n  17 [size=\"68020224\", alpha=\"0.09\", expect_size=\"34010112\"] \n  17 -> 18 [size =\"34010112\"]\n  18 [size=\"76156928\", alpha=\"0.15\", expect_size=\"38078464\"] \n  18 -> 19 [size =\"38078464\"]\n  19 [size=\"102293504\", alpha=\"0.14\", expect_size=\"51146752\"] \n  19 -> 20 [size =\"51146752\"]\n  20 [size=\"76140544\", alpha=\"0.04\", expect_size=\"38070272\"] \n  20 -> 21 [size =\"38070272\"]\n  21 [size=\"63438848\", alpha=\"0.06\", expect_size=\"31719424\"] \n  21 -> 22 [size =\"31719424\"]\n  22 [size=\"96126976\", alpha=\"0.07\", expect_size=\"48063488\"] \n  22 -> 23 [size =\"48063488\"]\n  23 [size=\"18075648\", alpha=\"0.15\", expect_size=\"9037824\"] \n  23 -> 24 [size =\"9037824\"]\n  24 [size=\"11649024\", alpha=\"0.07\", expect_size=\"5824512\"] \n  24 -> 25 [size =\"5824512\"]\n  25 [size=\"103438336\", alpha=\"0.07\", expect_size=\"51719168\"] \n  25 -> 26 [size =\"51719168\"]\n  26 [size=\"87363584\", alpha=\"0.10\", expect_size=\"43681792\"] \n  26 -> 27 [size =\"43681792\"]\n  27 [size=\"82501632\", alpha=\"0.18\", expect_size=\"41250816\"] \n  27 -> 28 [size =\"41250816\"]\n  28 [size=\"31610880\", alpha=\"0.12\", expect_size=\"15805440\"] \n  28 -> 29 [size =\"15805440\"]\n  29 [size=\"102318080\", alpha=\"0.00\", expect_size=\"51159040\"] \n  29 -> 30 [size =\"51159040\"]\n  30 [size=\"72062976\", alpha=\"0.10\", expect_size=\"36031488\"] \n  30 -> 31 [size =\"36031488\"]\n  31 [size=\"91162624\", alpha=\"0.15\", expect_size=\"45581312\"] \n  31 -> 32 [size =\"45581312\"]\n  32 [size=\"27121664\", alpha=\"0.02\", expect_size=\"13560832\"] \n  32 -> 33 [size =\"13560832\"]\n  33 [size=\"59074560\", alpha=\"0.00\", expect_size=\"29537280\"] \n  33 -> 34 [size =\"29537280\"]\n  34 [size=\"34254848\", alpha=\"0.02\", expect_size=\"17127424\"] \n  34 -> 35 [size =\"17127424\"]\n  35 [size=\"69400576\", alpha=\"0.12\", expect_size=\"34700288\"] \n  35 -> 36 [size =\"34700288\"]\n  36 [size=\"102539264\", alpha=\"0.11\", expect_size=\"51269632\"] \n  36 -> 37 [size =\"51269632\"]\n  37 [size=\"53356544\", alpha=\"0.02\", expect_size=\"26678272\"] \n  37 -> 38 [size =\"26678272\"]\n  38 [size=\"44142592\", alpha=\"0.07\", expect_size=\"22071296\"] \n  38 -> 39 [size =\"22071296\"]\n  39 [size=\"100427776\", alpha=\"0.12\", expect_size=\"50213888\"] \n  39 -> 40 [size =\"50213888\"]\n  40 [size=\"102750208\", alpha=\"0.10\", expect_size=\"51375104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68896768\", alpha=\"0.13\", expect_size=\"34448384\"] \n  1 -> 19 [size =\"34448384\"]\n  2 [size=\"84242432\", alpha=\"0.13\", expect_size=\"42121216\"] \n  2 -> 16 [size =\"42121216\"]\n  3 [size=\"90828800\", alpha=\"0.12\", expect_size=\"45414400\"] \n  3 -> 15 [size =\"45414400\"]\n  4 [size=\"52199424\", alpha=\"0.08\", expect_size=\"26099712\"] \n  4 -> 17 [size =\"26099712\"]\n  4 -> 18 [size =\"26099712\"]\n  4 -> 19 [size =\"26099712\"]\n  5 [size=\"37593088\", alpha=\"0.05\", expect_size=\"18796544\"] \n  5 -> 15 [size =\"18796544\"]\n  5 -> 16 [size =\"18796544\"]\n  5 -> 19 [size =\"18796544\"]\n  6 [size=\"66676736\", alpha=\"0.14\", expect_size=\"33338368\"] \n  6 -> 16 [size =\"33338368\"]\n  7 [size=\"77498368\", alpha=\"0.05\", expect_size=\"38749184\"] \n  7 -> 16 [size =\"38749184\"]\n  7 -> 21 [size =\"38749184\"]\n  8 [size=\"77137920\", alpha=\"0.10\", expect_size=\"38568960\"] \n  8 -> 17 [size =\"38568960\"]\n  8 -> 21 [size =\"38568960\"]\n  9 [size=\"16295936\", alpha=\"0.14\", expect_size=\"8147968\"] \n  9 -> 17 [size =\"8147968\"]\n  9 -> 21 [size =\"8147968\"]\n  10 [size=\"72556544\", alpha=\"0.05\", expect_size=\"36278272\"] \n  10 -> 21 [size =\"36278272\"]\n  11 [size=\"25507840\", alpha=\"0.02\", expect_size=\"12753920\"] \n  11 -> 16 [size =\"12753920\"]\n  11 -> 20 [size =\"12753920\"]\n  12 [size=\"88561664\", alpha=\"0.00\", expect_size=\"44280832\"] \n  12 -> 16 [size =\"44280832\"]\n  12 -> 17 [size =\"44280832\"]\n  12 -> 18 [size =\"44280832\"]\n  13 [size=\"57081856\", alpha=\"0.02\", expect_size=\"28540928\"] \n  13 -> 16 [size =\"28540928\"]\n  13 -> 19 [size =\"28540928\"]\n  14 [size=\"19083264\", alpha=\"0.10\", expect_size=\"9541632\"] \n  14 -> 15 [size =\"9541632\"]\n  14 -> 17 [size =\"9541632\"]\n  14 -> 20 [size =\"9541632\"]\n  15 [size=\"56201216\", alpha=\"0.07\", expect_size=\"28100608\"] \n  15 -> 23 [size =\"28100608\"]\n  15 -> 28 [size =\"28100608\"]\n  15 -> 29 [size =\"28100608\"]\n  15 -> 30 [size =\"28100608\"]\n  15 -> 34 [size =\"28100608\"]\n  16 [size=\"78041088\", alpha=\"0.01\", expect_size=\"39020544\"] \n  16 -> 24 [size =\"39020544\"]\n  16 -> 29 [size =\"39020544\"]\n  16 -> 33 [size =\"39020544\"]\n  17 [size=\"49893376\", alpha=\"0.01\", expect_size=\"24946688\"] \n  17 -> 23 [size =\"24946688\"]\n  17 -> 29 [size =\"24946688\"]\n  17 -> 35 [size =\"24946688\"]\n  18 [size=\"73406464\", alpha=\"0.02\", expect_size=\"36703232\"] \n  18 -> 22 [size =\"36703232\"]\n  18 -> 27 [size =\"36703232\"]\n  18 -> 31 [size =\"36703232\"]\n  18 -> 32 [size =\"36703232\"]\n  18 -> 35 [size =\"36703232\"]\n  19 [size=\"28012544\", alpha=\"0.02\", expect_size=\"14006272\"] \n  19 -> 27 [size =\"14006272\"]\n  19 -> 28 [size =\"14006272\"]\n  19 -> 30 [size =\"14006272\"]\n  19 -> 31 [size =\"14006272\"]\n  19 -> 33 [size =\"14006272\"]\n  20 [size=\"92549120\", alpha=\"0.05\", expect_size=\"46274560\"] \n  20 -> 25 [size =\"46274560\"]\n  20 -> 26 [size =\"46274560\"]\n  20 -> 28 [size =\"46274560\"]\n  20 -> 31 [size =\"46274560\"]\n  20 -> 33 [size =\"46274560\"]\n  20 -> 34 [size =\"46274560\"]\n  21 [size=\"23986176\", alpha=\"0.19\", expect_size=\"11993088\"] \n  21 -> 22 [size =\"11993088\"]\n  21 -> 23 [size =\"11993088\"]\n  21 -> 25 [size =\"11993088\"]\n  21 -> 27 [size =\"11993088\"]\n  21 -> 28 [size =\"11993088\"]\n  21 -> 30 [size =\"11993088\"]\n  21 -> 31 [size =\"11993088\"]\n  21 -> 33 [size =\"11993088\"]\n  22 [size=\"31643648\", alpha=\"0.10\", expect_size=\"15821824\"] \n  23 [size=\"32802816\", alpha=\"0.17\", expect_size=\"16401408\"] \n  23 -> 36 [size =\"16401408\"]\n  23 -> 37 [size =\"16401408\"]\n  23 -> 39 [size =\"16401408\"]\n  23 -> 40 [size =\"16401408\"]\n  24 [size=\"40214528\", alpha=\"0.14\", expect_size=\"20107264\"] \n  24 -> 37 [size =\"20107264\"]\n  24 -> 37 [size =\"20107264\"]\n  25 [size=\"88518656\", alpha=\"0.16\", expect_size=\"44259328\"] \n  25 -> 36 [size =\"44259328\"]\n  26 [size=\"25589760\", alpha=\"0.09\", expect_size=\"12794880\"] \n  26 -> 36 [size =\"12794880\"]\n  27 [size=\"28241920\", alpha=\"0.18\", expect_size=\"14120960\"] \n  28 [size=\"30785536\", alpha=\"0.20\", expect_size=\"15392768\"] \n  28 -> 38 [size =\"15392768\"]\n  29 [size=\"39198720\", alpha=\"0.03\", expect_size=\"19599360\"] \n  29 -> 37 [size =\"19599360\"]\n  29 -> 39 [size =\"19599360\"]\n  30 [size=\"49743872\", alpha=\"0.00\", expect_size=\"24871936\"] \n  30 -> 36 [size =\"24871936\"]\n  30 -> 39 [size =\"24871936\"]\n  31 [size=\"71616512\", alpha=\"0.20\", expect_size=\"35808256\"] \n  31 -> 40 [size =\"35808256\"]\n  32 [size=\"68857856\", alpha=\"0.16\", expect_size=\"34428928\"] \n  32 -> 37 [size =\"34428928\"]\n  33 [size=\"20850688\", alpha=\"0.02\", expect_size=\"10425344\"] \n  33 -> 37 [size =\"10425344\"]\n  34 [size=\"102313984\", alpha=\"0.11\", expect_size=\"51156992\"] \n  35 [size=\"71845888\", alpha=\"0.08\", expect_size=\"35922944\"] \n  35 -> 37 [size =\"35922944\"]\n  35 -> 39 [size =\"35922944\"]\n  36 [size=\"50925568\", alpha=\"0.00\", expect_size=\"25462784\"] \n  37 [size=\"95746048\", alpha=\"0.01\", expect_size=\"47873024\"] \n  38 [size=\"84576256\", alpha=\"0.15\", expect_size=\"42288128\"] \n  39 [size=\"84072448\", alpha=\"0.12\", expect_size=\"42036224\"] \n  40 [size=\"100044800\", alpha=\"0.07\", expect_size=\"50022400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104005632\", alpha=\"0.08\", expect_size=\"52002816\"] \n  1 -> 12 [size =\"52002816\"]\n  1 -> 14 [size =\"52002816\"]\n  1 -> 21 [size =\"52002816\"]\n  2 [size=\"45991936\", alpha=\"0.07\", expect_size=\"22995968\"] \n  2 -> 12 [size =\"22995968\"]\n  2 -> 13 [size =\"22995968\"]\n  2 -> 14 [size =\"22995968\"]\n  2 -> 18 [size =\"22995968\"]\n  2 -> 22 [size =\"22995968\"]\n  3 [size=\"93128704\", alpha=\"0.08\", expect_size=\"46564352\"] \n  3 -> 12 [size =\"46564352\"]\n  3 -> 13 [size =\"46564352\"]\n  3 -> 14 [size =\"46564352\"]\n  3 -> 16 [size =\"46564352\"]\n  3 -> 17 [size =\"46564352\"]\n  3 -> 18 [size =\"46564352\"]\n  4 [size=\"62576640\", alpha=\"0.16\", expect_size=\"31288320\"] \n  4 -> 13 [size =\"31288320\"]\n  4 -> 14 [size =\"31288320\"]\n  5 [size=\"72599552\", alpha=\"0.13\", expect_size=\"36299776\"] \n  5 -> 11 [size =\"36299776\"]\n  5 -> 13 [size =\"36299776\"]\n  5 -> 17 [size =\"36299776\"]\n  5 -> 21 [size =\"36299776\"]\n  6 [size=\"98103296\", alpha=\"0.07\", expect_size=\"49051648\"] \n  6 -> 11 [size =\"49051648\"]\n  6 -> 13 [size =\"49051648\"]\n  6 -> 15 [size =\"49051648\"]\n  6 -> 22 [size =\"49051648\"]\n  7 [size=\"22480896\", alpha=\"0.05\", expect_size=\"11240448\"] \n  7 -> 15 [size =\"11240448\"]\n  7 -> 16 [size =\"11240448\"]\n  7 -> 18 [size =\"11240448\"]\n  7 -> 21 [size =\"11240448\"]\n  7 -> 22 [size =\"11240448\"]\n  8 [size=\"27365376\", alpha=\"0.19\", expect_size=\"13682688\"] \n  8 -> 19 [size =\"13682688\"]\n  8 -> 21 [size =\"13682688\"]\n  9 [size=\"82571264\", alpha=\"0.09\", expect_size=\"41285632\"] \n  9 -> 17 [size =\"41285632\"]\n  9 -> 21 [size =\"41285632\"]\n  9 -> 22 [size =\"41285632\"]\n  10 [size=\"18112512\", alpha=\"0.03\", expect_size=\"9056256\"] \n  10 -> 15 [size =\"9056256\"]\n  10 -> 19 [size =\"9056256\"]\n  10 -> 20 [size =\"9056256\"]\n  10 -> 21 [size =\"9056256\"]\n  11 [size=\"79147008\", alpha=\"0.18\", expect_size=\"39573504\"] \n  11 -> 31 [size =\"39573504\"]\n  11 -> 35 [size =\"39573504\"]\n  12 [size=\"22202368\", alpha=\"0.19\", expect_size=\"11101184\"] \n  12 -> 23 [size =\"11101184\"]\n  12 -> 28 [size =\"11101184\"]\n  12 -> 31 [size =\"11101184\"]\n  12 -> 34 [size =\"11101184\"]\n  12 -> 36 [size =\"11101184\"]\n  12 -> 37 [size =\"11101184\"]\n  13 [size=\"54642688\", alpha=\"0.17\", expect_size=\"27321344\"] \n  13 -> 23 [size =\"27321344\"]\n  13 -> 27 [size =\"27321344\"]\n  13 -> 32 [size =\"27321344\"]\n  13 -> 33 [size =\"27321344\"]\n  13 -> 34 [size =\"27321344\"]\n  13 -> 36 [size =\"27321344\"]\n  13 -> 37 [size =\"27321344\"]\n  14 [size=\"93325312\", alpha=\"0.06\", expect_size=\"46662656\"] \n  14 -> 23 [size =\"46662656\"]\n  14 -> 27 [size =\"46662656\"]\n  14 -> 34 [size =\"46662656\"]\n  14 -> 35 [size =\"46662656\"]\n  14 -> 36 [size =\"46662656\"]\n  14 -> 36 [size =\"46662656\"]\n  14 -> 37 [size =\"46662656\"]\n  15 [size=\"76802048\", alpha=\"0.03\", expect_size=\"38401024\"] \n  15 -> 23 [size =\"38401024\"]\n  15 -> 29 [size =\"38401024\"]\n  15 -> 33 [size =\"38401024\"]\n  15 -> 34 [size =\"38401024\"]\n  16 [size=\"42178560\", alpha=\"0.10\", expect_size=\"21089280\"] \n  16 -> 23 [size =\"21089280\"]\n  16 -> 29 [size =\"21089280\"]\n  16 -> 31 [size =\"21089280\"]\n  16 -> 33 [size =\"21089280\"]\n  17 [size=\"73222144\", alpha=\"0.05\", expect_size=\"36611072\"] \n  17 -> 24 [size =\"36611072\"]\n  17 -> 25 [size =\"36611072\"]\n  17 -> 33 [size =\"36611072\"]\n  17 -> 33 [size =\"36611072\"]\n  17 -> 34 [size =\"36611072\"]\n  18 [size=\"95047680\", alpha=\"0.05\", expect_size=\"47523840\"] \n  18 -> 23 [size =\"47523840\"]\n  18 -> 24 [size =\"47523840\"]\n  18 -> 31 [size =\"47523840\"]\n  18 -> 34 [size =\"47523840\"]\n  19 [size=\"89184256\", alpha=\"0.19\", expect_size=\"44592128\"] \n  19 -> 23 [size =\"44592128\"]\n  19 -> 24 [size =\"44592128\"]\n  19 -> 25 [size =\"44592128\"]\n  19 -> 27 [size =\"44592128\"]\n  19 -> 36 [size =\"44592128\"]\n  19 -> 37 [size =\"44592128\"]\n  20 [size=\"37234688\", alpha=\"0.01\", expect_size=\"18617344\"] \n  20 -> 24 [size =\"18617344\"]\n  20 -> 24 [size =\"18617344\"]\n  20 -> 27 [size =\"18617344\"]\n  20 -> 29 [size =\"18617344\"]\n  20 -> 30 [size =\"18617344\"]\n  20 -> 31 [size =\"18617344\"]\n  20 -> 33 [size =\"18617344\"]\n  20 -> 35 [size =\"18617344\"]\n  20 -> 36 [size =\"18617344\"]\n  21 [size=\"51503104\", alpha=\"0.03\", expect_size=\"25751552\"] \n  21 -> 26 [size =\"25751552\"]\n  21 -> 27 [size =\"25751552\"]\n  21 -> 29 [size =\"25751552\"]\n  21 -> 31 [size =\"25751552\"]\n  21 -> 33 [size =\"25751552\"]\n  21 -> 35 [size =\"25751552\"]\n  21 -> 36 [size =\"25751552\"]\n  21 -> 37 [size =\"25751552\"]\n  22 [size=\"42856448\", alpha=\"0.12\", expect_size=\"21428224\"] \n  22 -> 26 [size =\"21428224\"]\n  22 -> 27 [size =\"21428224\"]\n  22 -> 33 [size =\"21428224\"]\n  22 -> 36 [size =\"21428224\"]\n  23 [size=\"39051264\", alpha=\"0.19\", expect_size=\"19525632\"] \n  23 -> 39 [size =\"19525632\"]\n  23 -> 40 [size =\"19525632\"]\n  24 [size=\"25872384\", alpha=\"0.17\", expect_size=\"12936192\"] \n  24 -> 39 [size =\"12936192\"]\n  24 -> 40 [size =\"12936192\"]\n  25 [size=\"53164032\", alpha=\"0.08\", expect_size=\"26582016\"] \n  25 -> 40 [size =\"26582016\"]\n  26 [size=\"67624960\", alpha=\"0.18\", expect_size=\"33812480\"] \n  26 -> 38 [size =\"33812480\"]\n  26 -> 39 [size =\"33812480\"]\n  27 [size=\"21301248\", alpha=\"0.10\", expect_size=\"10650624\"] \n  27 -> 38 [size =\"10650624\"]\n  28 [size=\"46678016\", alpha=\"0.06\", expect_size=\"23339008\"] \n  28 -> 38 [size =\"23339008\"]\n  28 -> 39 [size =\"23339008\"]\n  29 [size=\"72341504\", alpha=\"0.17\", expect_size=\"36170752\"] \n  30 [size=\"67301376\", alpha=\"0.10\", expect_size=\"33650688\"] \n  30 -> 39 [size =\"33650688\"]\n  31 [size=\"71858176\", alpha=\"0.17\", expect_size=\"35929088\"] \n  31 -> 38 [size =\"35929088\"]\n  31 -> 39 [size =\"35929088\"]\n  31 -> 40 [size =\"35929088\"]\n  32 [size=\"85159936\", alpha=\"0.06\", expect_size=\"42579968\"] \n  32 -> 38 [size =\"42579968\"]\n  32 -> 40 [size =\"42579968\"]\n  33 [size=\"48340992\", alpha=\"0.06\", expect_size=\"24170496\"] \n  34 [size=\"44046336\", alpha=\"0.02\", expect_size=\"22023168\"] \n  34 -> 40 [size =\"22023168\"]\n  35 [size=\"29997056\", alpha=\"0.13\", expect_size=\"14998528\"] \n  35 -> 39 [size =\"14998528\"]\n  36 [size=\"68306944\", alpha=\"0.10\", expect_size=\"34153472\"] \n  36 -> 39 [size =\"34153472\"]\n  37 [size=\"57847808\", alpha=\"0.01\", expect_size=\"28923904\"] \n  37 -> 39 [size =\"28923904\"]\n  37 -> 40 [size =\"28923904\"]\n  38 [size=\"10620928\", alpha=\"0.10\", expect_size=\"5310464\"] \n  39 [size=\"37877760\", alpha=\"0.15\", expect_size=\"18938880\"] \n  40 [size=\"22958080\", alpha=\"0.06\", expect_size=\"11479040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67624960\", alpha=\"0.18\", expect_size=\"27049984\"] \n  1 -> 8 [size =\"27049984\"]\n  1 -> 11 [size =\"27049984\"]\n  2 [size=\"116892160\", alpha=\"0.14\", expect_size=\"46756864\"] \n  2 -> 7 [size =\"46756864\"]\n  2 -> 10 [size =\"46756864\"]\n  3 [size=\"59814400\", alpha=\"0.14\", expect_size=\"23925760\"] \n  3 -> 10 [size =\"23925760\"]\n  4 [size=\"30545920\", alpha=\"0.18\", expect_size=\"12218368\"] \n  4 -> 7 [size =\"12218368\"]\n  4 -> 8 [size =\"12218368\"]\n  5 [size=\"20477440\", alpha=\"0.05\", expect_size=\"8190976\"] \n  5 -> 7 [size =\"8190976\"]\n  6 [size=\"114649600\", alpha=\"0.12\", expect_size=\"45859840\"] \n  6 -> 9 [size =\"45859840\"]\n  6 -> 10 [size =\"45859840\"]\n  7 [size=\"86000640\", alpha=\"0.11\", expect_size=\"34400256\"] \n  7 -> 13 [size =\"34400256\"]\n  7 -> 14 [size =\"34400256\"]\n  7 -> 15 [size =\"34400256\"]\n  8 [size=\"24811520\", alpha=\"0.08\", expect_size=\"9924608\"] \n  8 -> 12 [size =\"9924608\"]\n  8 -> 13 [size =\"9924608\"]\n  8 -> 14 [size =\"9924608\"]\n  8 -> 15 [size =\"9924608\"]\n  8 -> 16 [size =\"9924608\"]\n  9 [size=\"44075520\", alpha=\"0.10\", expect_size=\"17630208\"] \n  9 -> 12 [size =\"17630208\"]\n  9 -> 14 [size =\"17630208\"]\n  9 -> 15 [size =\"17630208\"]\n  10 [size=\"78233600\", alpha=\"0.10\", expect_size=\"31293440\"] \n  10 -> 12 [size =\"31293440\"]\n  11 [size=\"49582080\", alpha=\"0.12\", expect_size=\"19832832\"] \n  11 -> 13 [size =\"19832832\"]\n  12 [size=\"37683200\", alpha=\"0.14\", expect_size=\"15073280\"] \n  12 -> 21 [size =\"15073280\"]\n  13 [size=\"120417280\", alpha=\"0.08\", expect_size=\"48166912\"] \n  13 -> 19 [size =\"48166912\"]\n  14 [size=\"84544000\", alpha=\"0.02\", expect_size=\"33817600\"] \n  14 -> 18 [size =\"33817600\"]\n  14 -> 21 [size =\"33817600\"]\n  15 [size=\"73390080\", alpha=\"0.06\", expect_size=\"29356032\"] \n  15 -> 17 [size =\"29356032\"]\n  16 [size=\"99973120\", alpha=\"0.05\", expect_size=\"39989248\"] \n  16 -> 17 [size =\"39989248\"]\n  16 -> 20 [size =\"39989248\"]\n  17 [size=\"53314560\", alpha=\"0.15\", expect_size=\"21325824\"] \n  17 -> 22 [size =\"21325824\"]\n  17 -> 24 [size =\"21325824\"]\n  17 -> 25 [size =\"21325824\"]\n  17 -> 26 [size =\"21325824\"]\n  18 [size=\"115432960\", alpha=\"0.00\", expect_size=\"46173184\"] \n  18 -> 22 [size =\"46173184\"]\n  18 -> 26 [size =\"46173184\"]\n  19 [size=\"46476800\", alpha=\"0.08\", expect_size=\"18590720\"] \n  19 -> 22 [size =\"18590720\"]\n  19 -> 26 [size =\"18590720\"]\n  20 [size=\"107655680\", alpha=\"0.14\", expect_size=\"43062272\"] \n  20 -> 23 [size =\"43062272\"]\n  20 -> 24 [size =\"43062272\"]\n  21 [size=\"47905280\", alpha=\"0.09\", expect_size=\"19162112\"] \n  21 -> 25 [size =\"19162112\"]\n  22 [size=\"116971520\", alpha=\"0.02\", expect_size=\"46788608\"] \n  22 -> 28 [size =\"46788608\"]\n  22 -> 31 [size =\"46788608\"]\n  23 [size=\"80678400\", alpha=\"0.02\", expect_size=\"32271360\"] \n  23 -> 28 [size =\"32271360\"]\n  23 -> 31 [size =\"32271360\"]\n  24 [size=\"126415360\", alpha=\"0.06\", expect_size=\"50566144\"] \n  24 -> 29 [size =\"50566144\"]\n  24 -> 32 [size =\"50566144\"]\n  25 [size=\"19123200\", alpha=\"0.11\", expect_size=\"7649280\"] \n  25 -> 27 [size =\"7649280\"]\n  25 -> 29 [size =\"7649280\"]\n  26 [size=\"56890880\", alpha=\"0.13\", expect_size=\"22756352\"] \n  26 -> 28 [size =\"22756352\"]\n  26 -> 30 [size =\"22756352\"]\n  26 -> 31 [size =\"22756352\"]\n  27 [size=\"83540480\", alpha=\"0.08\", expect_size=\"33416192\"] \n  27 -> 35 [size =\"33416192\"]\n  27 -> 36 [size =\"33416192\"]\n  27 -> 38 [size =\"33416192\"]\n  28 [size=\"52065280\", alpha=\"0.04\", expect_size=\"20826112\"] \n  28 -> 37 [size =\"20826112\"]\n  28 -> 38 [size =\"20826112\"]\n  29 [size=\"53276160\", alpha=\"0.06\", expect_size=\"21310464\"] \n  29 -> 34 [size =\"21310464\"]\n  30 [size=\"99627520\", alpha=\"0.19\", expect_size=\"39851008\"] \n  30 -> 37 [size =\"39851008\"]\n  31 [size=\"63106560\", alpha=\"0.18\", expect_size=\"25242624\"] \n  31 -> 33 [size =\"25242624\"]\n  31 -> 37 [size =\"25242624\"]\n  32 [size=\"116198400\", alpha=\"0.01\", expect_size=\"46479360\"] \n  32 -> 34 [size =\"46479360\"]\n  32 -> 36 [size =\"46479360\"]\n  32 -> 37 [size =\"46479360\"]\n  33 [size=\"126755840\", alpha=\"0.02\", expect_size=\"50702336\"] \n  34 [size=\"23523840\", alpha=\"0.15\", expect_size=\"9409536\"] \n  35 [size=\"59873280\", alpha=\"0.19\", expect_size=\"23949312\"] \n  35 -> 40 [size =\"23949312\"]\n  36 [size=\"125212160\", alpha=\"0.17\", expect_size=\"50084864\"] \n  36 -> 40 [size =\"50084864\"]\n  37 [size=\"85148160\", alpha=\"0.03\", expect_size=\"34059264\"] \n  38 [size=\"130544640\", alpha=\"0.05\", expect_size=\"52217856\"] \n  38 -> 39 [size =\"52217856\"]\n  39 [size=\"37176320\", alpha=\"0.13\", expect_size=\"14870528\"] \n  40 [size=\"71941120\", alpha=\"0.18\", expect_size=\"28776448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64348160\", alpha=\"0.08\", expect_size=\"25739264\"] \n  2 [size=\"45209600\", alpha=\"0.17\", expect_size=\"18083840\"] \n  3 [size=\"126986240\", alpha=\"0.11\", expect_size=\"50794496\"] \n  3 -> 4 [size =\"50794496\"]\n  3 -> 5 [size =\"50794496\"]\n  4 [size=\"41047040\", alpha=\"0.16\", expect_size=\"16418816\"] \n  4 -> 6 [size =\"16418816\"]\n  4 -> 8 [size =\"16418816\"]\n  5 [size=\"75453440\", alpha=\"0.15\", expect_size=\"30181376\"] \n  5 -> 7 [size =\"30181376\"]\n  6 [size=\"122677760\", alpha=\"0.06\", expect_size=\"49071104\"] \n  6 -> 9 [size =\"49071104\"]\n  6 -> 11 [size =\"49071104\"]\n  7 [size=\"15221760\", alpha=\"0.07\", expect_size=\"6088704\"] \n  7 -> 10 [size =\"6088704\"]\n  8 [size=\"90626560\", alpha=\"0.14\", expect_size=\"36250624\"] \n  8 -> 9 [size =\"36250624\"]\n  8 -> 10 [size =\"36250624\"]\n  9 [size=\"81664000\", alpha=\"0.10\", expect_size=\"32665600\"] \n  9 -> 12 [size =\"32665600\"]\n  9 -> 13 [size =\"32665600\"]\n  10 [size=\"123258880\", alpha=\"0.12\", expect_size=\"49303552\"] \n  11 [size=\"33126400\", alpha=\"0.17\", expect_size=\"13250560\"] \n  12 [size=\"78592000\", alpha=\"0.10\", expect_size=\"31436800\"] \n  12 -> 14 [size =\"31436800\"]\n  12 -> 15 [size =\"31436800\"]\n  13 [size=\"58216960\", alpha=\"0.02\", expect_size=\"23286784\"] \n  14 [size=\"121295360\", alpha=\"0.04\", expect_size=\"48518144\"] \n  14 -> 16 [size =\"48518144\"]\n  14 -> 17 [size =\"48518144\"]\n  15 [size=\"97121280\", alpha=\"0.16\", expect_size=\"38848512\"] \n  16 [size=\"68490240\", alpha=\"0.18\", expect_size=\"27396096\"] \n  16 -> 20 [size =\"27396096\"]\n  17 [size=\"106071040\", alpha=\"0.02\", expect_size=\"42428416\"] \n  17 -> 18 [size =\"42428416\"]\n  17 -> 19 [size =\"42428416\"]\n  18 [size=\"32212480\", alpha=\"0.14\", expect_size=\"12884992\"] \n  18 -> 21 [size =\"12884992\"]\n  18 -> 22 [size =\"12884992\"]\n  19 [size=\"116756480\", alpha=\"0.12\", expect_size=\"46702592\"] \n  20 [size=\"60559360\", alpha=\"0.18\", expect_size=\"24223744\"] \n  21 [size=\"130534400\", alpha=\"0.13\", expect_size=\"52213760\"] \n  21 -> 23 [size =\"52213760\"]\n  22 [size=\"115207680\", alpha=\"0.13\", expect_size=\"46083072\"] \n  22 -> 24 [size =\"46083072\"]\n  23 [size=\"56906240\", alpha=\"0.13\", expect_size=\"22762496\"] \n  23 -> 26 [size =\"22762496\"]\n  24 [size=\"67796480\", alpha=\"0.17\", expect_size=\"27118592\"] \n  24 -> 25 [size =\"27118592\"]\n  24 -> 27 [size =\"27118592\"]\n  25 [size=\"88601600\", alpha=\"0.12\", expect_size=\"35440640\"] \n  26 [size=\"63800320\", alpha=\"0.05\", expect_size=\"25520128\"] \n  26 -> 28 [size =\"25520128\"]\n  27 [size=\"53657600\", alpha=\"0.19\", expect_size=\"21463040\"] \n  27 -> 29 [size =\"21463040\"]\n  28 [size=\"66923520\", alpha=\"0.05\", expect_size=\"26769408\"] \n  28 -> 30 [size =\"26769408\"]\n  28 -> 31 [size =\"26769408\"]\n  28 -> 32 [size =\"26769408\"]\n  29 [size=\"29854720\", alpha=\"0.04\", expect_size=\"11941888\"] \n  30 [size=\"103009280\", alpha=\"0.01\", expect_size=\"41203712\"] \n  31 [size=\"93570560\", alpha=\"0.01\", expect_size=\"37428224\"] \n  31 -> 34 [size =\"37428224\"]\n  32 [size=\"52779520\", alpha=\"0.13\", expect_size=\"21111808\"] \n  32 -> 33 [size =\"21111808\"]\n  33 [size=\"130705920\", alpha=\"0.12\", expect_size=\"52282368\"] \n  33 -> 35 [size =\"52282368\"]\n  34 [size=\"87331840\", alpha=\"0.10\", expect_size=\"34932736\"] \n  34 -> 36 [size =\"34932736\"]\n  35 [size=\"68569600\", alpha=\"0.02\", expect_size=\"27427840\"] \n  36 [size=\"18795520\", alpha=\"0.03\", expect_size=\"7518208\"] \n  36 -> 37 [size =\"7518208\"]\n  36 -> 38 [size =\"7518208\"]\n  37 [size=\"47582720\", alpha=\"0.00\", expect_size=\"19033088\"] \n  37 -> 39 [size =\"19033088\"]\n  38 [size=\"39083520\", alpha=\"0.00\", expect_size=\"15633408\"] \n  38 -> 40 [size =\"15633408\"]\n  39 [size=\"70819840\", alpha=\"0.18\", expect_size=\"28327936\"] \n  40 [size=\"93383680\", alpha=\"0.04\", expect_size=\"37353472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129095680\", alpha=\"0.09\", expect_size=\"51638272\"] \n  1 -> 5 [size =\"51638272\"]\n  2 [size=\"93511680\", alpha=\"0.09\", expect_size=\"37404672\"] \n  2 -> 5 [size =\"37404672\"]\n  3 [size=\"112750080\", alpha=\"0.02\", expect_size=\"45100032\"] \n  3 -> 6 [size =\"45100032\"]\n  3 -> 7 [size =\"45100032\"]\n  3 -> 8 [size =\"45100032\"]\n  4 [size=\"126120960\", alpha=\"0.04\", expect_size=\"50448384\"] \n  4 -> 5 [size =\"50448384\"]\n  5 [size=\"120558080\", alpha=\"0.15\", expect_size=\"48223232\"] \n  5 -> 10 [size =\"48223232\"]\n  5 -> 11 [size =\"48223232\"]\n  5 -> 12 [size =\"48223232\"]\n  5 -> 13 [size =\"48223232\"]\n  6 [size=\"95718400\", alpha=\"0.10\", expect_size=\"38287360\"] \n  6 -> 9 [size =\"38287360\"]\n  6 -> 12 [size =\"38287360\"]\n  6 -> 13 [size =\"38287360\"]\n  6 -> 14 [size =\"38287360\"]\n  7 [size=\"30504960\", alpha=\"0.19\", expect_size=\"12201984\"] \n  7 -> 10 [size =\"12201984\"]\n  8 [size=\"30259200\", alpha=\"0.03\", expect_size=\"12103680\"] \n  8 -> 9 [size =\"12103680\"]\n  8 -> 10 [size =\"12103680\"]\n  8 -> 13 [size =\"12103680\"]\n  9 [size=\"56709120\", alpha=\"0.07\", expect_size=\"22683648\"] \n  9 -> 15 [size =\"22683648\"]\n  10 [size=\"51338240\", alpha=\"0.02\", expect_size=\"20535296\"] \n  10 -> 17 [size =\"20535296\"]\n  10 -> 18 [size =\"20535296\"]\n  11 [size=\"19031040\", alpha=\"0.13\", expect_size=\"7612416\"] \n  11 -> 17 [size =\"7612416\"]\n  12 [size=\"70850560\", alpha=\"0.05\", expect_size=\"28340224\"] \n  12 -> 17 [size =\"28340224\"]\n  13 [size=\"124154880\", alpha=\"0.05\", expect_size=\"49661952\"] \n  13 -> 16 [size =\"49661952\"]\n  13 -> 18 [size =\"49661952\"]\n  14 [size=\"17303040\", alpha=\"0.18\", expect_size=\"6921216\"] \n  14 -> 15 [size =\"6921216\"]\n  14 -> 16 [size =\"6921216\"]\n  14 -> 17 [size =\"6921216\"]\n  15 [size=\"41292800\", alpha=\"0.13\", expect_size=\"16517120\"] \n  15 -> 23 [size =\"16517120\"]\n  15 -> 24 [size =\"16517120\"]\n  15 -> 25 [size =\"16517120\"]\n  16 [size=\"126970880\", alpha=\"0.03\", expect_size=\"50788352\"] \n  16 -> 21 [size =\"50788352\"]\n  16 -> 22 [size =\"50788352\"]\n  16 -> 26 [size =\"50788352\"]\n  17 [size=\"66306560\", alpha=\"0.03\", expect_size=\"26522624\"] \n  17 -> 20 [size =\"26522624\"]\n  17 -> 21 [size =\"26522624\"]\n  17 -> 24 [size =\"26522624\"]\n  17 -> 26 [size =\"26522624\"]\n  18 [size=\"62929920\", alpha=\"0.10\", expect_size=\"25171968\"] \n  18 -> 19 [size =\"25171968\"]\n  18 -> 20 [size =\"25171968\"]\n  18 -> 23 [size =\"25171968\"]\n  18 -> 24 [size =\"25171968\"]\n  18 -> 26 [size =\"25171968\"]\n  19 [size=\"80501760\", alpha=\"0.09\", expect_size=\"32200704\"] \n  19 -> 27 [size =\"32200704\"]\n  19 -> 29 [size =\"32200704\"]\n  20 [size=\"121653760\", alpha=\"0.08\", expect_size=\"48661504\"] \n  21 [size=\"18357760\", alpha=\"0.07\", expect_size=\"7343104\"] \n  22 [size=\"93184000\", alpha=\"0.20\", expect_size=\"37273600\"] \n  23 [size=\"121648640\", alpha=\"0.09\", expect_size=\"48659456\"] \n  24 [size=\"30484480\", alpha=\"0.18\", expect_size=\"12193792\"] \n  24 -> 29 [size =\"12193792\"]\n  25 [size=\"17154560\", alpha=\"0.05\", expect_size=\"6861824\"] \n  26 [size=\"91128320\", alpha=\"0.05\", expect_size=\"36451328\"] \n  26 -> 28 [size =\"36451328\"]\n  27 [size=\"110940160\", alpha=\"0.09\", expect_size=\"44376064\"] \n  27 -> 30 [size =\"44376064\"]\n  27 -> 31 [size =\"44376064\"]\n  27 -> 32 [size =\"44376064\"]\n  27 -> 33 [size =\"44376064\"]\n  27 -> 34 [size =\"44376064\"]\n  27 -> 35 [size =\"44376064\"]\n  28 [size=\"127106560\", alpha=\"0.16\", expect_size=\"50842624\"] \n  28 -> 30 [size =\"50842624\"]\n  28 -> 31 [size =\"50842624\"]\n  28 -> 32 [size =\"50842624\"]\n  28 -> 35 [size =\"50842624\"]\n  29 [size=\"65208320\", alpha=\"0.10\", expect_size=\"26083328\"] \n  29 -> 31 [size =\"26083328\"]\n  29 -> 36 [size =\"26083328\"]\n  30 [size=\"115686400\", alpha=\"0.11\", expect_size=\"46274560\"] \n  30 -> 40 [size =\"46274560\"]\n  31 [size=\"44231680\", alpha=\"0.13\", expect_size=\"17692672\"] \n  31 -> 37 [size =\"17692672\"]\n  31 -> 40 [size =\"17692672\"]\n  32 [size=\"84800000\", alpha=\"0.04\", expect_size=\"33920000\"] \n  32 -> 39 [size =\"33920000\"]\n  32 -> 40 [size =\"33920000\"]\n  33 [size=\"81863680\", alpha=\"0.14\", expect_size=\"32745472\"] \n  33 -> 38 [size =\"32745472\"]\n  33 -> 39 [size =\"32745472\"]\n  33 -> 40 [size =\"32745472\"]\n  34 [size=\"17103360\", alpha=\"0.05\", expect_size=\"6841344\"] \n  34 -> 38 [size =\"6841344\"]\n  35 [size=\"121500160\", alpha=\"0.01\", expect_size=\"48600064\"] \n  35 -> 38 [size =\"48600064\"]\n  36 [size=\"30645760\", alpha=\"0.16\", expect_size=\"12258304\"] \n  36 -> 37 [size =\"12258304\"]\n  36 -> 38 [size =\"12258304\"]\n  36 -> 40 [size =\"12258304\"]\n  37 [size=\"63080960\", alpha=\"0.00\", expect_size=\"25232384\"] \n  38 [size=\"118241280\", alpha=\"0.13\", expect_size=\"47296512\"] \n  39 [size=\"95311360\", alpha=\"0.17\", expect_size=\"38124544\"] \n  40 [size=\"37895680\", alpha=\"0.19\", expect_size=\"15158272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31289344\", alpha=\"0.17\", expect_size=\"15644672\"] \n  1 -> 25 [size =\"15644672\"]\n  1 -> 28 [size =\"15644672\"]\n  1 -> 36 [size =\"15644672\"]\n  1 -> 37 [size =\"15644672\"]\n  1 -> 39 [size =\"15644672\"]\n  1 -> 40 [size =\"15644672\"]\n  2 [size=\"100732928\", alpha=\"0.06\", expect_size=\"50366464\"] \n  2 -> 25 [size =\"50366464\"]\n  2 -> 26 [size =\"50366464\"]\n  2 -> 28 [size =\"50366464\"]\n  2 -> 35 [size =\"50366464\"]\n  2 -> 36 [size =\"50366464\"]\n  2 -> 37 [size =\"50366464\"]\n  2 -> 38 [size =\"50366464\"]\n  2 -> 39 [size =\"50366464\"]\n  2 -> 40 [size =\"50366464\"]\n  3 [size=\"19496960\", alpha=\"0.09\", expect_size=\"9748480\"] \n  3 -> 25 [size =\"9748480\"]\n  3 -> 26 [size =\"9748480\"]\n  3 -> 28 [size =\"9748480\"]\n  3 -> 36 [size =\"9748480\"]\n  3 -> 37 [size =\"9748480\"]\n  3 -> 37 [size =\"9748480\"]\n  3 -> 38 [size =\"9748480\"]\n  3 -> 39 [size =\"9748480\"]\n  4 [size=\"58341376\", alpha=\"0.11\", expect_size=\"29170688\"] \n  4 -> 25 [size =\"29170688\"]\n  4 -> 26 [size =\"29170688\"]\n  4 -> 28 [size =\"29170688\"]\n  4 -> 35 [size =\"29170688\"]\n  4 -> 36 [size =\"29170688\"]\n  4 -> 38 [size =\"29170688\"]\n  4 -> 38 [size =\"29170688\"]\n  4 -> 39 [size =\"29170688\"]\n  4 -> 40 [size =\"29170688\"]\n  5 [size=\"88832000\", alpha=\"0.09\", expect_size=\"44416000\"] \n  5 -> 25 [size =\"44416000\"]\n  5 -> 26 [size =\"44416000\"]\n  5 -> 28 [size =\"44416000\"]\n  5 -> 29 [size =\"44416000\"]\n  5 -> 31 [size =\"44416000\"]\n  5 -> 35 [size =\"44416000\"]\n  5 -> 36 [size =\"44416000\"]\n  5 -> 39 [size =\"44416000\"]\n  5 -> 40 [size =\"44416000\"]\n  6 [size=\"56688640\", alpha=\"0.01\", expect_size=\"28344320\"] \n  6 -> 25 [size =\"28344320\"]\n  6 -> 26 [size =\"28344320\"]\n  6 -> 28 [size =\"28344320\"]\n  6 -> 29 [size =\"28344320\"]\n  6 -> 32 [size =\"28344320\"]\n  6 -> 34 [size =\"28344320\"]\n  6 -> 36 [size =\"28344320\"]\n  6 -> 38 [size =\"28344320\"]\n  6 -> 39 [size =\"28344320\"]\n  6 -> 40 [size =\"28344320\"]\n  7 [size=\"16109568\", alpha=\"0.03\", expect_size=\"8054784\"] \n  7 -> 25 [size =\"8054784\"]\n  7 -> 26 [size =\"8054784\"]\n  7 -> 27 [size =\"8054784\"]\n  7 -> 28 [size =\"8054784\"]\n  7 -> 30 [size =\"8054784\"]\n  7 -> 33 [size =\"8054784\"]\n  7 -> 39 [size =\"8054784\"]\n  7 -> 40 [size =\"8054784\"]\n  8 [size=\"52742144\", alpha=\"0.09\", expect_size=\"26371072\"] \n  8 -> 25 [size =\"26371072\"]\n  8 -> 26 [size =\"26371072\"]\n  8 -> 28 [size =\"26371072\"]\n  8 -> 31 [size =\"26371072\"]\n  8 -> 35 [size =\"26371072\"]\n  8 -> 39 [size =\"26371072\"]\n  8 -> 39 [size =\"26371072\"]\n  9 [size=\"64634880\", alpha=\"0.13\", expect_size=\"32317440\"] \n  9 -> 25 [size =\"32317440\"]\n  9 -> 28 [size =\"32317440\"]\n  9 -> 28 [size =\"32317440\"]\n  9 -> 31 [size =\"32317440\"]\n  9 -> 32 [size =\"32317440\"]\n  9 -> 36 [size =\"32317440\"]\n  9 -> 38 [size =\"32317440\"]\n  9 -> 39 [size =\"32317440\"]\n  9 -> 40 [size =\"32317440\"]\n  10 [size=\"37074944\", alpha=\"0.01\", expect_size=\"18537472\"] \n  10 -> 25 [size =\"18537472\"]\n  10 -> 28 [size =\"18537472\"]\n  10 -> 29 [size =\"18537472\"]\n  10 -> 31 [size =\"18537472\"]\n  10 -> 32 [size =\"18537472\"]\n  10 -> 34 [size =\"18537472\"]\n  10 -> 38 [size =\"18537472\"]\n  10 -> 39 [size =\"18537472\"]\n  11 [size=\"89237504\", alpha=\"0.18\", expect_size=\"44618752\"] \n  11 -> 25 [size =\"44618752\"]\n  11 -> 29 [size =\"44618752\"]\n  11 -> 29 [size =\"44618752\"]\n  11 -> 32 [size =\"44618752\"]\n  11 -> 32 [size =\"44618752\"]\n  11 -> 37 [size =\"44618752\"]\n  11 -> 39 [size =\"44618752\"]\n  12 [size=\"72763392\", alpha=\"0.08\", expect_size=\"36381696\"] \n  12 -> 25 [size =\"36381696\"]\n  12 -> 26 [size =\"36381696\"]\n  12 -> 28 [size =\"36381696\"]\n  12 -> 29 [size =\"36381696\"]\n  12 -> 31 [size =\"36381696\"]\n  12 -> 32 [size =\"36381696\"]\n  12 -> 33 [size =\"36381696\"]\n  12 -> 37 [size =\"36381696\"]\n  12 -> 38 [size =\"36381696\"]\n  12 -> 39 [size =\"36381696\"]\n  12 -> 40 [size =\"36381696\"]\n  13 [size=\"102934528\", alpha=\"0.02\", expect_size=\"51467264\"] \n  13 -> 25 [size =\"51467264\"]\n  13 -> 26 [size =\"51467264\"]\n  13 -> 28 [size =\"51467264\"]\n  13 -> 31 [size =\"51467264\"]\n  13 -> 35 [size =\"51467264\"]\n  13 -> 39 [size =\"51467264\"]\n  13 -> 40 [size =\"51467264\"]\n  14 [size=\"52209664\", alpha=\"0.20\", expect_size=\"26104832\"] \n  14 -> 25 [size =\"26104832\"]\n  14 -> 26 [size =\"26104832\"]\n  14 -> 28 [size =\"26104832\"]\n  14 -> 30 [size =\"26104832\"]\n  14 -> 33 [size =\"26104832\"]\n  14 -> 35 [size =\"26104832\"]\n  14 -> 38 [size =\"26104832\"]\n  14 -> 39 [size =\"26104832\"]\n  15 [size=\"10735616\", alpha=\"0.08\", expect_size=\"5367808\"] \n  15 -> 25 [size =\"5367808\"]\n  15 -> 26 [size =\"5367808\"]\n  15 -> 28 [size =\"5367808\"]\n  15 -> 31 [size =\"5367808\"]\n  15 -> 33 [size =\"5367808\"]\n  15 -> 36 [size =\"5367808\"]\n  15 -> 37 [size =\"5367808\"]\n  15 -> 39 [size =\"5367808\"]\n  16 [size=\"54480896\", alpha=\"0.19\", expect_size=\"27240448\"] \n  16 -> 25 [size =\"27240448\"]\n  16 -> 26 [size =\"27240448\"]\n  16 -> 29 [size =\"27240448\"]\n  16 -> 31 [size =\"27240448\"]\n  16 -> 32 [size =\"27240448\"]\n  16 -> 33 [size =\"27240448\"]\n  16 -> 36 [size =\"27240448\"]\n  16 -> 37 [size =\"27240448\"]\n  16 -> 39 [size =\"27240448\"]\n  16 -> 40 [size =\"27240448\"]\n  17 [size=\"57718784\", alpha=\"0.06\", expect_size=\"28859392\"] \n  17 -> 26 [size =\"28859392\"]\n  17 -> 29 [size =\"28859392\"]\n  17 -> 29 [size =\"28859392\"]\n  17 -> 30 [size =\"28859392\"]\n  17 -> 35 [size =\"28859392\"]\n  17 -> 36 [size =\"28859392\"]\n  17 -> 37 [size =\"28859392\"]\n  17 -> 39 [size =\"28859392\"]\n  18 [size=\"70981632\", alpha=\"0.06\", expect_size=\"35490816\"] \n  18 -> 25 [size =\"35490816\"]\n  18 -> 35 [size =\"35490816\"]\n  18 -> 37 [size =\"35490816\"]\n  18 -> 39 [size =\"35490816\"]\n  19 [size=\"19492864\", alpha=\"0.14\", expect_size=\"9746432\"] \n  19 -> 25 [size =\"9746432\"]\n  19 -> 26 [size =\"9746432\"]\n  19 -> 28 [size =\"9746432\"]\n  19 -> 31 [size =\"9746432\"]\n  19 -> 32 [size =\"9746432\"]\n  19 -> 35 [size =\"9746432\"]\n  19 -> 37 [size =\"9746432\"]\n  19 -> 38 [size =\"9746432\"]\n  20 [size=\"82542592\", alpha=\"0.05\", expect_size=\"41271296\"] \n  20 -> 26 [size =\"41271296\"]\n  20 -> 26 [size =\"41271296\"]\n  20 -> 28 [size =\"41271296\"]\n  20 -> 29 [size =\"41271296\"]\n  20 -> 31 [size =\"41271296\"]\n  20 -> 32 [size =\"41271296\"]\n  20 -> 35 [size =\"41271296\"]\n  20 -> 37 [size =\"41271296\"]\n  21 [size=\"88600576\", alpha=\"0.01\", expect_size=\"44300288\"] \n  21 -> 26 [size =\"44300288\"]\n  21 -> 29 [size =\"44300288\"]\n  21 -> 33 [size =\"44300288\"]\n  21 -> 35 [size =\"44300288\"]\n  21 -> 36 [size =\"44300288\"]\n  21 -> 37 [size =\"44300288\"]\n  21 -> 38 [size =\"44300288\"]\n  21 -> 40 [size =\"44300288\"]\n  22 [size=\"79755264\", alpha=\"0.16\", expect_size=\"39877632\"] \n  22 -> 25 [size =\"39877632\"]\n  22 -> 26 [size =\"39877632\"]\n  22 -> 27 [size =\"39877632\"]\n  22 -> 29 [size =\"39877632\"]\n  22 -> 31 [size =\"39877632\"]\n  22 -> 32 [size =\"39877632\"]\n  22 -> 33 [size =\"39877632\"]\n  22 -> 36 [size =\"39877632\"]\n  22 -> 37 [size =\"39877632\"]\n  22 -> 39 [size =\"39877632\"]\n  22 -> 40 [size =\"39877632\"]\n  23 [size=\"23689216\", alpha=\"0.13\", expect_size=\"11844608\"] \n  23 -> 25 [size =\"11844608\"]\n  23 -> 26 [size =\"11844608\"]\n  23 -> 29 [size =\"11844608\"]\n  23 -> 31 [size =\"11844608\"]\n  23 -> 32 [size =\"11844608\"]\n  23 -> 34 [size =\"11844608\"]\n  23 -> 36 [size =\"11844608\"]\n  23 -> 37 [size =\"11844608\"]\n  23 -> 37 [size =\"11844608\"]\n  23 -> 39 [size =\"11844608\"]\n  24 [size=\"31950848\", alpha=\"0.00\", expect_size=\"15975424\"] \n  24 -> 25 [size =\"15975424\"]\n  24 -> 26 [size =\"15975424\"]\n  24 -> 29 [size =\"15975424\"]\n  24 -> 30 [size =\"15975424\"]\n  24 -> 31 [size =\"15975424\"]\n  24 -> 32 [size =\"15975424\"]\n  24 -> 33 [size =\"15975424\"]\n  24 -> 36 [size =\"15975424\"]\n  24 -> 37 [size =\"15975424\"]\n  24 -> 38 [size =\"15975424\"]\n  24 -> 39 [size =\"15975424\"]\n  24 -> 40 [size =\"15975424\"]\n  25 [size=\"31922176\", alpha=\"0.04\", expect_size=\"15961088\"] \n  26 [size=\"70391808\", alpha=\"0.17\", expect_size=\"35195904\"] \n  27 [size=\"66336768\", alpha=\"0.12\", expect_size=\"33168384\"] \n  28 [size=\"95508480\", alpha=\"0.16\", expect_size=\"47754240\"] \n  29 [size=\"30681088\", alpha=\"0.11\", expect_size=\"15340544\"] \n  30 [size=\"94631936\", alpha=\"0.11\", expect_size=\"47315968\"] \n  31 [size=\"24127488\", alpha=\"0.09\", expect_size=\"12063744\"] \n  32 [size=\"28719104\", alpha=\"0.19\", expect_size=\"14359552\"] \n  33 [size=\"104280064\", alpha=\"0.10\", expect_size=\"52140032\"] \n  34 [size=\"71077888\", alpha=\"0.09\", expect_size=\"35538944\"] \n  35 [size=\"71344128\", alpha=\"0.08\", expect_size=\"35672064\"] \n  36 [size=\"89051136\", alpha=\"0.16\", expect_size=\"44525568\"] \n  37 [size=\"76032000\", alpha=\"0.15\", expect_size=\"38016000\"] \n  38 [size=\"37912576\", alpha=\"0.06\", expect_size=\"18956288\"] \n  39 [size=\"16949248\", alpha=\"0.19\", expect_size=\"8474624\"] \n  40 [size=\"67291136\", alpha=\"0.08\", expect_size=\"33645568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49602560\", alpha=\"0.08\", expect_size=\"14880768\"] \n  1 -> 10 [size =\"14880768\"]\n  1 -> 13 [size =\"14880768\"]\n  1 -> 14 [size =\"14880768\"]\n  1 -> 15 [size =\"14880768\"]\n  1 -> 22 [size =\"14880768\"]\n  2 [size=\"159501653\", alpha=\"0.03\", expect_size=\"47850496\"] \n  2 -> 10 [size =\"47850496\"]\n  2 -> 11 [size =\"47850496\"]\n  2 -> 13 [size =\"47850496\"]\n  2 -> 16 [size =\"47850496\"]\n  2 -> 22 [size =\"47850496\"]\n  3 [size=\"18107733\", alpha=\"0.01\", expect_size=\"5432320\"] \n  3 -> 10 [size =\"5432320\"]\n  3 -> 13 [size =\"5432320\"]\n  3 -> 13 [size =\"5432320\"]\n  3 -> 15 [size =\"5432320\"]\n  3 -> 16 [size =\"5432320\"]\n  3 -> 18 [size =\"5432320\"]\n  3 -> 22 [size =\"5432320\"]\n  4 [size=\"39058773\", alpha=\"0.00\", expect_size=\"11717632\"] \n  4 -> 11 [size =\"11717632\"]\n  4 -> 15 [size =\"11717632\"]\n  4 -> 16 [size =\"11717632\"]\n  4 -> 21 [size =\"11717632\"]\n  4 -> 22 [size =\"11717632\"]\n  5 [size=\"96914773\", alpha=\"0.11\", expect_size=\"29074432\"] \n  5 -> 10 [size =\"29074432\"]\n  5 -> 11 [size =\"29074432\"]\n  5 -> 12 [size =\"29074432\"]\n  5 -> 15 [size =\"29074432\"]\n  5 -> 16 [size =\"29074432\"]\n  5 -> 17 [size =\"29074432\"]\n  5 -> 21 [size =\"29074432\"]\n  5 -> 22 [size =\"29074432\"]\n  6 [size=\"127208107\", alpha=\"0.11\", expect_size=\"38162432\"] \n  6 -> 10 [size =\"38162432\"]\n  6 -> 11 [size =\"38162432\"]\n  6 -> 15 [size =\"38162432\"]\n  6 -> 16 [size =\"38162432\"]\n  6 -> 18 [size =\"38162432\"]\n  6 -> 21 [size =\"38162432\"]\n  6 -> 22 [size =\"38162432\"]\n  7 [size=\"166386347\", alpha=\"0.06\", expect_size=\"49915904\"] \n  7 -> 10 [size =\"49915904\"]\n  7 -> 11 [size =\"49915904\"]\n  7 -> 13 [size =\"49915904\"]\n  7 -> 15 [size =\"49915904\"]\n  7 -> 21 [size =\"49915904\"]\n  8 [size=\"147374080\", alpha=\"0.02\", expect_size=\"44212224\"] \n  8 -> 11 [size =\"44212224\"]\n  8 -> 15 [size =\"44212224\"]\n  8 -> 16 [size =\"44212224\"]\n  8 -> 19 [size =\"44212224\"]\n  8 -> 21 [size =\"44212224\"]\n  8 -> 22 [size =\"44212224\"]\n  9 [size=\"62102187\", alpha=\"0.06\", expect_size=\"18630656\"] \n  9 -> 10 [size =\"18630656\"]\n  9 -> 13 [size =\"18630656\"]\n  9 -> 14 [size =\"18630656\"]\n  9 -> 15 [size =\"18630656\"]\n  9 -> 20 [size =\"18630656\"]\n  9 -> 22 [size =\"18630656\"]\n  10 [size=\"143523840\", alpha=\"0.06\", expect_size=\"43057152\"] \n  10 -> 27 [size =\"43057152\"]\n  10 -> 28 [size =\"43057152\"]\n  11 [size=\"29931520\", alpha=\"0.08\", expect_size=\"8979456\"] \n  11 -> 23 [size =\"8979456\"]\n  11 -> 24 [size =\"8979456\"]\n  11 -> 25 [size =\"8979456\"]\n  11 -> 26 [size =\"8979456\"]\n  11 -> 29 [size =\"8979456\"]\n  11 -> 30 [size =\"8979456\"]\n  11 -> 31 [size =\"8979456\"]\n  12 [size=\"89743360\", alpha=\"0.13\", expect_size=\"26923008\"] \n  12 -> 23 [size =\"26923008\"]\n  12 -> 25 [size =\"26923008\"]\n  12 -> 29 [size =\"26923008\"]\n  12 -> 30 [size =\"26923008\"]\n  13 [size=\"115725653\", alpha=\"0.07\", expect_size=\"34717696\"] \n  13 -> 23 [size =\"34717696\"]\n  13 -> 29 [size =\"34717696\"]\n  14 [size=\"124200960\", alpha=\"0.12\", expect_size=\"37260288\"] \n  14 -> 25 [size =\"37260288\"]\n  14 -> 26 [size =\"37260288\"]\n  14 -> 28 [size =\"37260288\"]\n  14 -> 29 [size =\"37260288\"]\n  14 -> 30 [size =\"37260288\"]\n  15 [size=\"125286400\", alpha=\"0.18\", expect_size=\"37585920\"] \n  15 -> 24 [size =\"37585920\"]\n  15 -> 25 [size =\"37585920\"]\n  15 -> 29 [size =\"37585920\"]\n  15 -> 30 [size =\"37585920\"]\n  15 -> 31 [size =\"37585920\"]\n  15 -> 32 [size =\"37585920\"]\n  16 [size=\"53340160\", alpha=\"0.12\", expect_size=\"16002048\"] \n  16 -> 23 [size =\"16002048\"]\n  16 -> 24 [size =\"16002048\"]\n  16 -> 29 [size =\"16002048\"]\n  16 -> 30 [size =\"16002048\"]\n  16 -> 31 [size =\"16002048\"]\n  16 -> 32 [size =\"16002048\"]\n  17 [size=\"137560747\", alpha=\"0.16\", expect_size=\"41268224\"] \n  17 -> 23 [size =\"41268224\"]\n  17 -> 24 [size =\"41268224\"]\n  17 -> 25 [size =\"41268224\"]\n  17 -> 28 [size =\"41268224\"]\n  17 -> 30 [size =\"41268224\"]\n  17 -> 32 [size =\"41268224\"]\n  18 [size=\"29074773\", alpha=\"0.16\", expect_size=\"8722432\"] \n  18 -> 23 [size =\"8722432\"]\n  18 -> 24 [size =\"8722432\"]\n  18 -> 25 [size =\"8722432\"]\n  18 -> 27 [size =\"8722432\"]\n  18 -> 28 [size =\"8722432\"]\n  18 -> 30 [size =\"8722432\"]\n  18 -> 31 [size =\"8722432\"]\n  18 -> 32 [size =\"8722432\"]\n  19 [size=\"46455467\", alpha=\"0.13\", expect_size=\"13936640\"] \n  19 -> 23 [size =\"13936640\"]\n  19 -> 24 [size =\"13936640\"]\n  19 -> 25 [size =\"13936640\"]\n  19 -> 27 [size =\"13936640\"]\n  19 -> 30 [size =\"13936640\"]\n  19 -> 31 [size =\"13936640\"]\n  19 -> 32 [size =\"13936640\"]\n  20 [size=\"94122667\", alpha=\"0.15\", expect_size=\"28236800\"] \n  20 -> 23 [size =\"28236800\"]\n  20 -> 24 [size =\"28236800\"]\n  20 -> 30 [size =\"28236800\"]\n  20 -> 32 [size =\"28236800\"]\n  21 [size=\"143998293\", alpha=\"0.02\", expect_size=\"43199488\"] \n  21 -> 23 [size =\"43199488\"]\n  21 -> 24 [size =\"43199488\"]\n  21 -> 25 [size =\"43199488\"]\n  21 -> 30 [size =\"43199488\"]\n  21 -> 31 [size =\"43199488\"]\n  21 -> 32 [size =\"43199488\"]\n  22 [size=\"51927040\", alpha=\"0.07\", expect_size=\"15578112\"] \n  22 -> 27 [size =\"15578112\"]\n  22 -> 28 [size =\"15578112\"]\n  22 -> 30 [size =\"15578112\"]\n  22 -> 30 [size =\"15578112\"]\n  22 -> 32 [size =\"15578112\"]\n  23 [size=\"155074560\", alpha=\"0.11\", expect_size=\"46522368\"] \n  23 -> 35 [size =\"46522368\"]\n  23 -> 36 [size =\"46522368\"]\n  23 -> 38 [size =\"46522368\"]\n  24 [size=\"56330240\", alpha=\"0.19\", expect_size=\"16899072\"] \n  24 -> 33 [size =\"16899072\"]\n  24 -> 35 [size =\"16899072\"]\n  24 -> 36 [size =\"16899072\"]\n  24 -> 38 [size =\"16899072\"]\n  25 [size=\"150913707\", alpha=\"0.17\", expect_size=\"45274112\"] \n  25 -> 37 [size =\"45274112\"]\n  25 -> 38 [size =\"45274112\"]\n  26 [size=\"135727787\", alpha=\"0.08\", expect_size=\"40718336\"] \n  26 -> 33 [size =\"40718336\"]\n  26 -> 35 [size =\"40718336\"]\n  26 -> 36 [size =\"40718336\"]\n  26 -> 37 [size =\"40718336\"]\n  27 [size=\"71062187\", alpha=\"0.19\", expect_size=\"21318656\"] \n  27 -> 35 [size =\"21318656\"]\n  27 -> 37 [size =\"21318656\"]\n  28 [size=\"38287360\", alpha=\"0.06\", expect_size=\"11486208\"] \n  28 -> 34 [size =\"11486208\"]\n  28 -> 36 [size =\"11486208\"]\n  28 -> 37 [size =\"11486208\"]\n  29 [size=\"167079253\", alpha=\"0.19\", expect_size=\"50123776\"] \n  29 -> 33 [size =\"50123776\"]\n  29 -> 35 [size =\"50123776\"]\n  30 [size=\"108564480\", alpha=\"0.07\", expect_size=\"32569344\"] \n  30 -> 35 [size =\"32569344\"]\n  30 -> 35 [size =\"32569344\"]\n  31 [size=\"70389760\", alpha=\"0.18\", expect_size=\"21116928\"] \n  31 -> 35 [size =\"21116928\"]\n  31 -> 38 [size =\"21116928\"]\n  32 [size=\"84691627\", alpha=\"0.17\", expect_size=\"25407488\"] \n  32 -> 35 [size =\"25407488\"]\n  32 -> 36 [size =\"25407488\"]\n  33 [size=\"136202240\", alpha=\"0.09\", expect_size=\"40860672\"] \n  33 -> 40 [size =\"40860672\"]\n  34 [size=\"68273493\", alpha=\"0.15\", expect_size=\"20482048\"] \n  34 -> 40 [size =\"20482048\"]\n  35 [size=\"59774293\", alpha=\"0.14\", expect_size=\"17932288\"] \n  35 -> 40 [size =\"17932288\"]\n  36 [size=\"32856747\", alpha=\"0.18\", expect_size=\"9857024\"] \n  37 [size=\"97252693\", alpha=\"0.17\", expect_size=\"29175808\"] \n  37 -> 39 [size =\"29175808\"]\n  37 -> 40 [size =\"29175808\"]\n  38 [size=\"87302827\", alpha=\"0.18\", expect_size=\"26190848\"] \n  38 -> 40 [size =\"26190848\"]\n  39 [size=\"132911787\", alpha=\"0.02\", expect_size=\"39873536\"] \n  40 [size=\"121419093\", alpha=\"0.16\", expect_size=\"36425728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56496128\", alpha=\"0.18\", expect_size=\"28248064\"] \n  1 -> 17 [size =\"28248064\"]\n  1 -> 19 [size =\"28248064\"]\n  1 -> 23 [size =\"28248064\"]\n  1 -> 27 [size =\"28248064\"]\n  1 -> 34 [size =\"28248064\"]\n  1 -> 38 [size =\"28248064\"]\n  2 [size=\"79185920\", alpha=\"0.14\", expect_size=\"39592960\"] \n  2 -> 18 [size =\"39592960\"]\n  2 -> 19 [size =\"39592960\"]\n  2 -> 21 [size =\"39592960\"]\n  2 -> 23 [size =\"39592960\"]\n  2 -> 25 [size =\"39592960\"]\n  2 -> 27 [size =\"39592960\"]\n  2 -> 32 [size =\"39592960\"]\n  3 [size=\"44314624\", alpha=\"0.07\", expect_size=\"22157312\"] \n  3 -> 19 [size =\"22157312\"]\n  3 -> 19 [size =\"22157312\"]\n  3 -> 20 [size =\"22157312\"]\n  3 -> 21 [size =\"22157312\"]\n  3 -> 23 [size =\"22157312\"]\n  3 -> 26 [size =\"22157312\"]\n  3 -> 27 [size =\"22157312\"]\n  3 -> 30 [size =\"22157312\"]\n  3 -> 35 [size =\"22157312\"]\n  4 [size=\"78780416\", alpha=\"0.16\", expect_size=\"39390208\"] \n  4 -> 18 [size =\"39390208\"]\n  4 -> 20 [size =\"39390208\"]\n  4 -> 20 [size =\"39390208\"]\n  4 -> 25 [size =\"39390208\"]\n  4 -> 26 [size =\"39390208\"]\n  4 -> 27 [size =\"39390208\"]\n  4 -> 30 [size =\"39390208\"]\n  4 -> 31 [size =\"39390208\"]\n  4 -> 34 [size =\"39390208\"]\n  4 -> 35 [size =\"39390208\"]\n  4 -> 37 [size =\"39390208\"]\n  4 -> 39 [size =\"39390208\"]\n  5 [size=\"42366976\", alpha=\"0.01\", expect_size=\"21183488\"] \n  5 -> 17 [size =\"21183488\"]\n  5 -> 18 [size =\"21183488\"]\n  5 -> 20 [size =\"21183488\"]\n  5 -> 22 [size =\"21183488\"]\n  5 -> 29 [size =\"21183488\"]\n  5 -> 32 [size =\"21183488\"]\n  5 -> 34 [size =\"21183488\"]\n  5 -> 35 [size =\"21183488\"]\n  5 -> 36 [size =\"21183488\"]\n  5 -> 37 [size =\"21183488\"]\n  5 -> 38 [size =\"21183488\"]\n  5 -> 39 [size =\"21183488\"]\n  6 [size=\"52815872\", alpha=\"0.04\", expect_size=\"26407936\"] \n  6 -> 19 [size =\"26407936\"]\n  6 -> 20 [size =\"26407936\"]\n  6 -> 22 [size =\"26407936\"]\n  6 -> 26 [size =\"26407936\"]\n  6 -> 28 [size =\"26407936\"]\n  6 -> 29 [size =\"26407936\"]\n  6 -> 30 [size =\"26407936\"]\n  6 -> 32 [size =\"26407936\"]\n  6 -> 39 [size =\"26407936\"]\n  7 [size=\"55377920\", alpha=\"0.04\", expect_size=\"27688960\"] \n  7 -> 19 [size =\"27688960\"]\n  7 -> 21 [size =\"27688960\"]\n  7 -> 30 [size =\"27688960\"]\n  7 -> 39 [size =\"27688960\"]\n  8 [size=\"103086080\", alpha=\"0.00\", expect_size=\"51543040\"] \n  8 -> 19 [size =\"51543040\"]\n  8 -> 20 [size =\"51543040\"]\n  8 -> 21 [size =\"51543040\"]\n  8 -> 22 [size =\"51543040\"]\n  8 -> 25 [size =\"51543040\"]\n  8 -> 26 [size =\"51543040\"]\n  8 -> 30 [size =\"51543040\"]\n  8 -> 32 [size =\"51543040\"]\n  8 -> 37 [size =\"51543040\"]\n  8 -> 39 [size =\"51543040\"]\n  9 [size=\"83814400\", alpha=\"0.19\", expect_size=\"41907200\"] \n  9 -> 21 [size =\"41907200\"]\n  9 -> 25 [size =\"41907200\"]\n  9 -> 26 [size =\"41907200\"]\n  9 -> 27 [size =\"41907200\"]\n  9 -> 30 [size =\"41907200\"]\n  9 -> 32 [size =\"41907200\"]\n  9 -> 34 [size =\"41907200\"]\n  9 -> 38 [size =\"41907200\"]\n  10 [size=\"89079808\", alpha=\"0.06\", expect_size=\"44539904\"] \n  10 -> 20 [size =\"44539904\"]\n  10 -> 21 [size =\"44539904\"]\n  10 -> 22 [size =\"44539904\"]\n  10 -> 23 [size =\"44539904\"]\n  10 -> 25 [size =\"44539904\"]\n  10 -> 26 [size =\"44539904\"]\n  10 -> 30 [size =\"44539904\"]\n  10 -> 34 [size =\"44539904\"]\n  11 [size=\"73076736\", alpha=\"0.10\", expect_size=\"36538368\"] \n  11 -> 19 [size =\"36538368\"]\n  11 -> 20 [size =\"36538368\"]\n  11 -> 27 [size =\"36538368\"]\n  11 -> 30 [size =\"36538368\"]\n  11 -> 32 [size =\"36538368\"]\n  11 -> 33 [size =\"36538368\"]\n  11 -> 37 [size =\"36538368\"]\n  12 [size=\"63973376\", alpha=\"0.19\", expect_size=\"31986688\"] \n  12 -> 20 [size =\"31986688\"]\n  12 -> 20 [size =\"31986688\"]\n  12 -> 23 [size =\"31986688\"]\n  12 -> 26 [size =\"31986688\"]\n  12 -> 27 [size =\"31986688\"]\n  12 -> 30 [size =\"31986688\"]\n  12 -> 31 [size =\"31986688\"]\n  12 -> 34 [size =\"31986688\"]\n  12 -> 36 [size =\"31986688\"]\n  12 -> 37 [size =\"31986688\"]\n  13 [size=\"36898816\", alpha=\"0.18\", expect_size=\"18449408\"] \n  13 -> 19 [size =\"18449408\"]\n  13 -> 21 [size =\"18449408\"]\n  13 -> 23 [size =\"18449408\"]\n  13 -> 24 [size =\"18449408\"]\n  13 -> 26 [size =\"18449408\"]\n  13 -> 27 [size =\"18449408\"]\n  13 -> 29 [size =\"18449408\"]\n  13 -> 30 [size =\"18449408\"]\n  13 -> 32 [size =\"18449408\"]\n  13 -> 34 [size =\"18449408\"]\n  13 -> 37 [size =\"18449408\"]\n  13 -> 38 [size =\"18449408\"]\n  14 [size=\"68874240\", alpha=\"0.12\", expect_size=\"34437120\"] \n  14 -> 17 [size =\"34437120\"]\n  14 -> 23 [size =\"34437120\"]\n  14 -> 31 [size =\"34437120\"]\n  14 -> 32 [size =\"34437120\"]\n  14 -> 34 [size =\"34437120\"]\n  14 -> 38 [size =\"34437120\"]\n  14 -> 39 [size =\"34437120\"]\n  15 [size=\"52154368\", alpha=\"0.09\", expect_size=\"26077184\"] \n  15 -> 19 [size =\"26077184\"]\n  15 -> 23 [size =\"26077184\"]\n  15 -> 25 [size =\"26077184\"]\n  15 -> 27 [size =\"26077184\"]\n  15 -> 28 [size =\"26077184\"]\n  15 -> 31 [size =\"26077184\"]\n  15 -> 34 [size =\"26077184\"]\n  15 -> 36 [size =\"26077184\"]\n  15 -> 37 [size =\"26077184\"]\n  16 [size=\"54927360\", alpha=\"0.06\", expect_size=\"27463680\"] \n  16 -> 19 [size =\"27463680\"]\n  16 -> 22 [size =\"27463680\"]\n  16 -> 23 [size =\"27463680\"]\n  16 -> 25 [size =\"27463680\"]\n  16 -> 26 [size =\"27463680\"]\n  16 -> 27 [size =\"27463680\"]\n  16 -> 31 [size =\"27463680\"]\n  16 -> 34 [size =\"27463680\"]\n  16 -> 36 [size =\"27463680\"]\n  16 -> 39 [size =\"27463680\"]\n  17 [size=\"75476992\", alpha=\"0.07\", expect_size=\"37738496\"] \n  17 -> 40 [size =\"37738496\"]\n  18 [size=\"94920704\", alpha=\"0.06\", expect_size=\"47460352\"] \n  19 [size=\"96094208\", alpha=\"0.03\", expect_size=\"48047104\"] \n  20 [size=\"89704448\", alpha=\"0.03\", expect_size=\"44852224\"] \n  20 -> 40 [size =\"44852224\"]\n  21 [size=\"25118720\", alpha=\"0.13\", expect_size=\"12559360\"] \n  22 [size=\"73668608\", alpha=\"0.17\", expect_size=\"36834304\"] \n  23 [size=\"67117056\", alpha=\"0.08\", expect_size=\"33558528\"] \n  24 [size=\"59539456\", alpha=\"0.14\", expect_size=\"29769728\"] \n  25 [size=\"21131264\", alpha=\"0.07\", expect_size=\"10565632\"] \n  25 -> 40 [size =\"10565632\"]\n  26 [size=\"61788160\", alpha=\"0.08\", expect_size=\"30894080\"] \n  26 -> 40 [size =\"30894080\"]\n  27 [size=\"90300416\", alpha=\"0.19\", expect_size=\"45150208\"] \n  27 -> 40 [size =\"45150208\"]\n  28 [size=\"30302208\", alpha=\"0.10\", expect_size=\"15151104\"] \n  28 -> 40 [size =\"15151104\"]\n  29 [size=\"58271744\", alpha=\"0.16\", expect_size=\"29135872\"] \n  29 -> 40 [size =\"29135872\"]\n  30 [size=\"74545152\", alpha=\"0.19\", expect_size=\"37272576\"] \n  30 -> 40 [size =\"37272576\"]\n  31 [size=\"90189824\", alpha=\"0.15\", expect_size=\"45094912\"] \n  32 [size=\"56846336\", alpha=\"0.03\", expect_size=\"28423168\"] \n  32 -> 40 [size =\"28423168\"]\n  33 [size=\"43216896\", alpha=\"0.16\", expect_size=\"21608448\"] \n  33 -> 40 [size =\"21608448\"]\n  34 [size=\"83130368\", alpha=\"0.01\", expect_size=\"41565184\"] \n  35 [size=\"56137728\", alpha=\"0.16\", expect_size=\"28068864\"] \n  35 -> 40 [size =\"28068864\"]\n  36 [size=\"88494080\", alpha=\"0.19\", expect_size=\"44247040\"] \n  36 -> 40 [size =\"44247040\"]\n  37 [size=\"33785856\", alpha=\"0.17\", expect_size=\"16892928\"] \n  37 -> 40 [size =\"16892928\"]\n  38 [size=\"31275008\", alpha=\"0.12\", expect_size=\"15637504\"] \n  38 -> 40 [size =\"15637504\"]\n  39 [size=\"79196160\", alpha=\"0.06\", expect_size=\"39598080\"] \n  39 -> 40 [size =\"39598080\"]\n  40 [size=\"62130176\", alpha=\"0.16\", expect_size=\"31065088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20961280\", alpha=\"0.13\", expect_size=\"6288384\"] \n  1 -> 6 [size =\"6288384\"]\n  1 -> 8 [size =\"6288384\"]\n  1 -> 9 [size =\"6288384\"]\n  2 [size=\"99235840\", alpha=\"0.06\", expect_size=\"29770752\"] \n  2 -> 6 [size =\"29770752\"]\n  2 -> 7 [size =\"29770752\"]\n  2 -> 8 [size =\"29770752\"]\n  3 [size=\"135393280\", alpha=\"0.11\", expect_size=\"40617984\"] \n  3 -> 7 [size =\"40617984\"]\n  3 -> 8 [size =\"40617984\"]\n  4 [size=\"147493547\", alpha=\"0.17\", expect_size=\"44248064\"] \n  4 -> 6 [size =\"44248064\"]\n  4 -> 8 [size =\"44248064\"]\n  5 [size=\"107874987\", alpha=\"0.19\", expect_size=\"32362496\"] \n  5 -> 6 [size =\"32362496\"]\n  5 -> 8 [size =\"32362496\"]\n  5 -> 9 [size =\"32362496\"]\n  6 [size=\"163717120\", alpha=\"0.08\", expect_size=\"49115136\"] \n  6 -> 10 [size =\"49115136\"]\n  6 -> 12 [size =\"49115136\"]\n  6 -> 13 [size =\"49115136\"]\n  6 -> 14 [size =\"49115136\"]\n  7 [size=\"42007893\", alpha=\"0.01\", expect_size=\"12602368\"] \n  7 -> 10 [size =\"12602368\"]\n  7 -> 12 [size =\"12602368\"]\n  7 -> 13 [size =\"12602368\"]\n  7 -> 14 [size =\"12602368\"]\n  8 [size=\"104168107\", alpha=\"0.05\", expect_size=\"31250432\"] \n  8 -> 10 [size =\"31250432\"]\n  8 -> 11 [size =\"31250432\"]\n  8 -> 12 [size =\"31250432\"]\n  8 -> 13 [size =\"31250432\"]\n  8 -> 14 [size =\"31250432\"]\n  9 [size=\"172397227\", alpha=\"0.06\", expect_size=\"51719168\"] \n  9 -> 10 [size =\"51719168\"]\n  9 -> 11 [size =\"51719168\"]\n  9 -> 12 [size =\"51719168\"]\n  9 -> 13 [size =\"51719168\"]\n  9 -> 14 [size =\"51719168\"]\n  10 [size=\"69048320\", alpha=\"0.06\", expect_size=\"20714496\"] \n  10 -> 15 [size =\"20714496\"]\n  10 -> 17 [size =\"20714496\"]\n  10 -> 20 [size =\"20714496\"]\n  11 [size=\"119606613\", alpha=\"0.16\", expect_size=\"35881984\"] \n  11 -> 15 [size =\"35881984\"]\n  11 -> 16 [size =\"35881984\"]\n  11 -> 17 [size =\"35881984\"]\n  11 -> 20 [size =\"35881984\"]\n  12 [size=\"66048000\", alpha=\"0.02\", expect_size=\"19814400\"] \n  12 -> 15 [size =\"19814400\"]\n  12 -> 17 [size =\"19814400\"]\n  12 -> 18 [size =\"19814400\"]\n  12 -> 19 [size =\"19814400\"]\n  13 [size=\"113588907\", alpha=\"0.06\", expect_size=\"34076672\"] \n  13 -> 15 [size =\"34076672\"]\n  13 -> 17 [size =\"34076672\"]\n  13 -> 18 [size =\"34076672\"]\n  13 -> 20 [size =\"34076672\"]\n  14 [size=\"43332267\", alpha=\"0.09\", expect_size=\"12999680\"] \n  14 -> 15 [size =\"12999680\"]\n  14 -> 17 [size =\"12999680\"]\n  14 -> 18 [size =\"12999680\"]\n  14 -> 20 [size =\"12999680\"]\n  15 [size=\"20811093\", alpha=\"0.09\", expect_size=\"6243328\"] \n  15 -> 23 [size =\"6243328\"]\n  16 [size=\"168854187\", alpha=\"0.06\", expect_size=\"50656256\"] \n  16 -> 22 [size =\"50656256\"]\n  16 -> 23 [size =\"50656256\"]\n  16 -> 24 [size =\"50656256\"]\n  17 [size=\"78134613\", alpha=\"0.07\", expect_size=\"23440384\"] \n  17 -> 21 [size =\"23440384\"]\n  17 -> 22 [size =\"23440384\"]\n  17 -> 23 [size =\"23440384\"]\n  17 -> 24 [size =\"23440384\"]\n  18 [size=\"85835093\", alpha=\"0.14\", expect_size=\"25750528\"] \n  18 -> 21 [size =\"25750528\"]\n  18 -> 22 [size =\"25750528\"]\n  18 -> 24 [size =\"25750528\"]\n  19 [size=\"126044160\", alpha=\"0.14\", expect_size=\"37813248\"] \n  19 -> 21 [size =\"37813248\"]\n  19 -> 22 [size =\"37813248\"]\n  19 -> 23 [size =\"37813248\"]\n  20 [size=\"18920107\", alpha=\"0.03\", expect_size=\"5676032\"] \n  20 -> 22 [size =\"5676032\"]\n  20 -> 24 [size =\"5676032\"]\n  21 [size=\"69358933\", alpha=\"0.12\", expect_size=\"20807680\"] \n  21 -> 25 [size =\"20807680\"]\n  21 -> 26 [size =\"20807680\"]\n  21 -> 28 [size =\"20807680\"]\n  21 -> 29 [size =\"20807680\"]\n  22 [size=\"41540267\", alpha=\"0.12\", expect_size=\"12462080\"] \n  22 -> 28 [size =\"12462080\"]\n  22 -> 29 [size =\"12462080\"]\n  23 [size=\"56186880\", alpha=\"0.07\", expect_size=\"16856064\"] \n  23 -> 25 [size =\"16856064\"]\n  23 -> 26 [size =\"16856064\"]\n  23 -> 27 [size =\"16856064\"]\n  23 -> 28 [size =\"16856064\"]\n  23 -> 29 [size =\"16856064\"]\n  24 [size=\"101123413\", alpha=\"0.18\", expect_size=\"30337024\"] \n  24 -> 25 [size =\"30337024\"]\n  24 -> 28 [size =\"30337024\"]\n  24 -> 29 [size =\"30337024\"]\n  25 [size=\"17821013\", alpha=\"0.01\", expect_size=\"5346304\"] \n  25 -> 30 [size =\"5346304\"]\n  25 -> 31 [size =\"5346304\"]\n  25 -> 32 [size =\"5346304\"]\n  25 -> 33 [size =\"5346304\"]\n  25 -> 34 [size =\"5346304\"]\n  26 [size=\"84763307\", alpha=\"0.02\", expect_size=\"25428992\"] \n  26 -> 30 [size =\"25428992\"]\n  27 [size=\"132147200\", alpha=\"0.06\", expect_size=\"39644160\"] \n  27 -> 30 [size =\"39644160\"]\n  27 -> 33 [size =\"39644160\"]\n  27 -> 34 [size =\"39644160\"]\n  28 [size=\"28992853\", alpha=\"0.02\", expect_size=\"8697856\"] \n  28 -> 30 [size =\"8697856\"]\n  28 -> 32 [size =\"8697856\"]\n  28 -> 33 [size =\"8697856\"]\n  28 -> 34 [size =\"8697856\"]\n  29 [size=\"141837653\", alpha=\"0.17\", expect_size=\"42551296\"] \n  29 -> 30 [size =\"42551296\"]\n  29 -> 33 [size =\"42551296\"]\n  29 -> 33 [size =\"42551296\"]\n  29 -> 34 [size =\"42551296\"]\n  30 [size=\"96901120\", alpha=\"0.19\", expect_size=\"29070336\"] \n  30 -> 36 [size =\"29070336\"]\n  30 -> 37 [size =\"29070336\"]\n  30 -> 38 [size =\"29070336\"]\n  31 [size=\"121477120\", alpha=\"0.13\", expect_size=\"36443136\"] \n  31 -> 36 [size =\"36443136\"]\n  31 -> 38 [size =\"36443136\"]\n  32 [size=\"61764267\", alpha=\"0.14\", expect_size=\"18529280\"] \n  32 -> 35 [size =\"18529280\"]\n  32 -> 36 [size =\"18529280\"]\n  33 [size=\"156808533\", alpha=\"0.07\", expect_size=\"47042560\"] \n  33 -> 35 [size =\"47042560\"]\n  33 -> 36 [size =\"47042560\"]\n  34 [size=\"52671147\", alpha=\"0.04\", expect_size=\"15801344\"] \n  34 -> 35 [size =\"15801344\"]\n  34 -> 37 [size =\"15801344\"]\n  34 -> 38 [size =\"15801344\"]\n  35 [size=\"36655787\", alpha=\"0.00\", expect_size=\"10996736\"] \n  35 -> 39 [size =\"10996736\"]\n  36 [size=\"41881600\", alpha=\"0.16\", expect_size=\"12564480\"] \n  36 -> 39 [size =\"12564480\"]\n  37 [size=\"57296213\", alpha=\"0.00\", expect_size=\"17188864\"] \n  37 -> 39 [size =\"17188864\"]\n  38 [size=\"107441493\", alpha=\"0.13\", expect_size=\"32232448\"] \n  38 -> 40 [size =\"32232448\"]\n  39 [size=\"121716053\", alpha=\"0.19\", expect_size=\"36514816\"] \n  40 [size=\"97764693\", alpha=\"0.05\", expect_size=\"29329408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35915776\", alpha=\"0.16\", expect_size=\"17957888\"] \n  1 -> 16 [size =\"17957888\"]\n  1 -> 18 [size =\"17957888\"]\n  1 -> 19 [size =\"17957888\"]\n  1 -> 24 [size =\"17957888\"]\n  1 -> 24 [size =\"17957888\"]\n  1 -> 25 [size =\"17957888\"]\n  1 -> 28 [size =\"17957888\"]\n  2 [size=\"26910720\", alpha=\"0.09\", expect_size=\"13455360\"] \n  2 -> 21 [size =\"13455360\"]\n  2 -> 22 [size =\"13455360\"]\n  2 -> 24 [size =\"13455360\"]\n  3 [size=\"76527616\", alpha=\"0.20\", expect_size=\"38263808\"] \n  3 -> 16 [size =\"38263808\"]\n  3 -> 20 [size =\"38263808\"]\n  3 -> 22 [size =\"38263808\"]\n  3 -> 23 [size =\"38263808\"]\n  3 -> 24 [size =\"38263808\"]\n  3 -> 26 [size =\"38263808\"]\n  3 -> 27 [size =\"38263808\"]\n  4 [size=\"41850880\", alpha=\"0.16\", expect_size=\"20925440\"] \n  4 -> 16 [size =\"20925440\"]\n  4 -> 18 [size =\"20925440\"]\n  4 -> 20 [size =\"20925440\"]\n  4 -> 24 [size =\"20925440\"]\n  4 -> 24 [size =\"20925440\"]\n  4 -> 25 [size =\"20925440\"]\n  4 -> 27 [size =\"20925440\"]\n  4 -> 28 [size =\"20925440\"]\n  5 [size=\"27549696\", alpha=\"0.12\", expect_size=\"13774848\"] \n  5 -> 16 [size =\"13774848\"]\n  5 -> 18 [size =\"13774848\"]\n  5 -> 20 [size =\"13774848\"]\n  5 -> 22 [size =\"13774848\"]\n  5 -> 23 [size =\"13774848\"]\n  5 -> 24 [size =\"13774848\"]\n  5 -> 26 [size =\"13774848\"]\n  5 -> 28 [size =\"13774848\"]\n  6 [size=\"31932416\", alpha=\"0.00\", expect_size=\"15966208\"] \n  6 -> 16 [size =\"15966208\"]\n  6 -> 17 [size =\"15966208\"]\n  6 -> 18 [size =\"15966208\"]\n  6 -> 19 [size =\"15966208\"]\n  6 -> 20 [size =\"15966208\"]\n  6 -> 21 [size =\"15966208\"]\n  6 -> 22 [size =\"15966208\"]\n  6 -> 23 [size =\"15966208\"]\n  6 -> 24 [size =\"15966208\"]\n  6 -> 26 [size =\"15966208\"]\n  6 -> 28 [size =\"15966208\"]\n  7 [size=\"29368320\", alpha=\"0.04\", expect_size=\"14684160\"] \n  7 -> 18 [size =\"14684160\"]\n  7 -> 19 [size =\"14684160\"]\n  7 -> 20 [size =\"14684160\"]\n  7 -> 23 [size =\"14684160\"]\n  7 -> 24 [size =\"14684160\"]\n  7 -> 25 [size =\"14684160\"]\n  7 -> 26 [size =\"14684160\"]\n  7 -> 28 [size =\"14684160\"]\n  8 [size=\"96270336\", alpha=\"0.17\", expect_size=\"48135168\"] \n  8 -> 16 [size =\"48135168\"]\n  8 -> 17 [size =\"48135168\"]\n  8 -> 18 [size =\"48135168\"]\n  8 -> 19 [size =\"48135168\"]\n  8 -> 20 [size =\"48135168\"]\n  8 -> 22 [size =\"48135168\"]\n  8 -> 26 [size =\"48135168\"]\n  8 -> 27 [size =\"48135168\"]\n  9 [size=\"64337920\", alpha=\"0.04\", expect_size=\"32168960\"] \n  9 -> 15 [size =\"32168960\"]\n  9 -> 18 [size =\"32168960\"]\n  9 -> 19 [size =\"32168960\"]\n  9 -> 20 [size =\"32168960\"]\n  9 -> 20 [size =\"32168960\"]\n  9 -> 26 [size =\"32168960\"]\n  9 -> 26 [size =\"32168960\"]\n  9 -> 27 [size =\"32168960\"]\n  10 [size=\"87027712\", alpha=\"0.05\", expect_size=\"43513856\"] \n  10 -> 18 [size =\"43513856\"]\n  10 -> 18 [size =\"43513856\"]\n  10 -> 24 [size =\"43513856\"]\n  10 -> 26 [size =\"43513856\"]\n  10 -> 27 [size =\"43513856\"]\n  10 -> 28 [size =\"43513856\"]\n  11 [size=\"43982848\", alpha=\"0.03\", expect_size=\"21991424\"] \n  11 -> 17 [size =\"21991424\"]\n  11 -> 18 [size =\"21991424\"]\n  11 -> 19 [size =\"21991424\"]\n  11 -> 20 [size =\"21991424\"]\n  11 -> 21 [size =\"21991424\"]\n  11 -> 22 [size =\"21991424\"]\n  11 -> 26 [size =\"21991424\"]\n  11 -> 27 [size =\"21991424\"]\n  11 -> 28 [size =\"21991424\"]\n  12 [size=\"24180736\", alpha=\"0.05\", expect_size=\"12090368\"] \n  12 -> 16 [size =\"12090368\"]\n  12 -> 17 [size =\"12090368\"]\n  12 -> 18 [size =\"12090368\"]\n  12 -> 19 [size =\"12090368\"]\n  12 -> 20 [size =\"12090368\"]\n  12 -> 23 [size =\"12090368\"]\n  12 -> 25 [size =\"12090368\"]\n  12 -> 26 [size =\"12090368\"]\n  12 -> 28 [size =\"12090368\"]\n  13 [size=\"65603584\", alpha=\"0.16\", expect_size=\"32801792\"] \n  13 -> 16 [size =\"32801792\"]\n  13 -> 19 [size =\"32801792\"]\n  13 -> 20 [size =\"32801792\"]\n  13 -> 24 [size =\"32801792\"]\n  13 -> 28 [size =\"32801792\"]\n  14 [size=\"64739328\", alpha=\"0.13\", expect_size=\"32369664\"] \n  14 -> 16 [size =\"32369664\"]\n  14 -> 18 [size =\"32369664\"]\n  14 -> 19 [size =\"32369664\"]\n  14 -> 20 [size =\"32369664\"]\n  14 -> 24 [size =\"32369664\"]\n  14 -> 26 [size =\"32369664\"]\n  14 -> 27 [size =\"32369664\"]\n  14 -> 28 [size =\"32369664\"]\n  15 [size=\"45328384\", alpha=\"0.05\", expect_size=\"22664192\"] \n  15 -> 30 [size =\"22664192\"]\n  15 -> 30 [size =\"22664192\"]\n  15 -> 31 [size =\"22664192\"]\n  15 -> 33 [size =\"22664192\"]\n  15 -> 34 [size =\"22664192\"]\n  15 -> 35 [size =\"22664192\"]\n  15 -> 36 [size =\"22664192\"]\n  15 -> 37 [size =\"22664192\"]\n  15 -> 38 [size =\"22664192\"]\n  15 -> 40 [size =\"22664192\"]\n  16 [size=\"101212160\", alpha=\"0.05\", expect_size=\"50606080\"] \n  16 -> 29 [size =\"50606080\"]\n  16 -> 30 [size =\"50606080\"]\n  16 -> 31 [size =\"50606080\"]\n  16 -> 33 [size =\"50606080\"]\n  16 -> 34 [size =\"50606080\"]\n  16 -> 35 [size =\"50606080\"]\n  16 -> 37 [size =\"50606080\"]\n  16 -> 38 [size =\"50606080\"]\n  16 -> 38 [size =\"50606080\"]\n  17 [size=\"102496256\", alpha=\"0.13\", expect_size=\"51248128\"] \n  17 -> 29 [size =\"51248128\"]\n  17 -> 30 [size =\"51248128\"]\n  17 -> 33 [size =\"51248128\"]\n  17 -> 34 [size =\"51248128\"]\n  17 -> 35 [size =\"51248128\"]\n  17 -> 37 [size =\"51248128\"]\n  17 -> 38 [size =\"51248128\"]\n  18 [size=\"26777600\", alpha=\"0.10\", expect_size=\"13388800\"] \n  18 -> 29 [size =\"13388800\"]\n  18 -> 30 [size =\"13388800\"]\n  18 -> 31 [size =\"13388800\"]\n  18 -> 37 [size =\"13388800\"]\n  18 -> 38 [size =\"13388800\"]\n  18 -> 39 [size =\"13388800\"]\n  18 -> 40 [size =\"13388800\"]\n  19 [size=\"13508608\", alpha=\"0.05\", expect_size=\"6754304\"] \n  19 -> 29 [size =\"6754304\"]\n  19 -> 30 [size =\"6754304\"]\n  19 -> 31 [size =\"6754304\"]\n  19 -> 37 [size =\"6754304\"]\n  19 -> 38 [size =\"6754304\"]\n  19 -> 40 [size =\"6754304\"]\n  20 [size=\"32034816\", alpha=\"0.01\", expect_size=\"16017408\"] \n  20 -> 29 [size =\"16017408\"]\n  20 -> 30 [size =\"16017408\"]\n  20 -> 31 [size =\"16017408\"]\n  20 -> 33 [size =\"16017408\"]\n  20 -> 34 [size =\"16017408\"]\n  20 -> 35 [size =\"16017408\"]\n  21 [size=\"53997568\", alpha=\"0.02\", expect_size=\"26998784\"] \n  21 -> 29 [size =\"26998784\"]\n  21 -> 30 [size =\"26998784\"]\n  21 -> 31 [size =\"26998784\"]\n  21 -> 32 [size =\"26998784\"]\n  21 -> 33 [size =\"26998784\"]\n  21 -> 35 [size =\"26998784\"]\n  21 -> 37 [size =\"26998784\"]\n  21 -> 40 [size =\"26998784\"]\n  22 [size=\"69896192\", alpha=\"0.07\", expect_size=\"34948096\"] \n  22 -> 31 [size =\"34948096\"]\n  22 -> 35 [size =\"34948096\"]\n  22 -> 36 [size =\"34948096\"]\n  22 -> 37 [size =\"34948096\"]\n  22 -> 38 [size =\"34948096\"]\n  22 -> 39 [size =\"34948096\"]\n  22 -> 40 [size =\"34948096\"]\n  22 -> 40 [size =\"34948096\"]\n  23 [size=\"94959616\", alpha=\"0.06\", expect_size=\"47479808\"] \n  23 -> 29 [size =\"47479808\"]\n  23 -> 35 [size =\"47479808\"]\n  23 -> 36 [size =\"47479808\"]\n  23 -> 37 [size =\"47479808\"]\n  23 -> 38 [size =\"47479808\"]\n  23 -> 40 [size =\"47479808\"]\n  24 [size=\"75470848\", alpha=\"0.12\", expect_size=\"37735424\"] \n  24 -> 29 [size =\"37735424\"]\n  24 -> 35 [size =\"37735424\"]\n  24 -> 36 [size =\"37735424\"]\n  24 -> 37 [size =\"37735424\"]\n  24 -> 38 [size =\"37735424\"]\n  24 -> 39 [size =\"37735424\"]\n  25 [size=\"44795904\", alpha=\"0.01\", expect_size=\"22397952\"] \n  25 -> 30 [size =\"22397952\"]\n  25 -> 31 [size =\"22397952\"]\n  25 -> 33 [size =\"22397952\"]\n  25 -> 35 [size =\"22397952\"]\n  25 -> 36 [size =\"22397952\"]\n  25 -> 38 [size =\"22397952\"]\n  25 -> 40 [size =\"22397952\"]\n  26 [size=\"67491840\", alpha=\"0.14\", expect_size=\"33745920\"] \n  26 -> 29 [size =\"33745920\"]\n  26 -> 30 [size =\"33745920\"]\n  26 -> 31 [size =\"33745920\"]\n  26 -> 33 [size =\"33745920\"]\n  26 -> 34 [size =\"33745920\"]\n  26 -> 35 [size =\"33745920\"]\n  26 -> 38 [size =\"33745920\"]\n  26 -> 40 [size =\"33745920\"]\n  27 [size=\"92104704\", alpha=\"0.12\", expect_size=\"46052352\"] \n  27 -> 29 [size =\"46052352\"]\n  27 -> 30 [size =\"46052352\"]\n  27 -> 31 [size =\"46052352\"]\n  27 -> 34 [size =\"46052352\"]\n  27 -> 35 [size =\"46052352\"]\n  27 -> 35 [size =\"46052352\"]\n  27 -> 36 [size =\"46052352\"]\n  27 -> 38 [size =\"46052352\"]\n  27 -> 39 [size =\"46052352\"]\n  27 -> 40 [size =\"46052352\"]\n  28 [size=\"57782272\", alpha=\"0.08\", expect_size=\"28891136\"] \n  28 -> 29 [size =\"28891136\"]\n  28 -> 30 [size =\"28891136\"]\n  28 -> 31 [size =\"28891136\"]\n  28 -> 33 [size =\"28891136\"]\n  28 -> 34 [size =\"28891136\"]\n  28 -> 35 [size =\"28891136\"]\n  28 -> 36 [size =\"28891136\"]\n  28 -> 38 [size =\"28891136\"]\n  29 [size=\"103878656\", alpha=\"0.15\", expect_size=\"51939328\"] \n  30 [size=\"32000000\", alpha=\"0.19\", expect_size=\"16000000\"] \n  31 [size=\"35782656\", alpha=\"0.10\", expect_size=\"17891328\"] \n  32 [size=\"46290944\", alpha=\"0.03\", expect_size=\"23145472\"] \n  33 [size=\"79947776\", alpha=\"0.08\", expect_size=\"39973888\"] \n  34 [size=\"14051328\", alpha=\"0.05\", expect_size=\"7025664\"] \n  35 [size=\"68714496\", alpha=\"0.09\", expect_size=\"34357248\"] \n  36 [size=\"72255488\", alpha=\"0.12\", expect_size=\"36127744\"] \n  37 [size=\"46125056\", alpha=\"0.15\", expect_size=\"23062528\"] \n  38 [size=\"103577600\", alpha=\"0.01\", expect_size=\"51788800\"] \n  39 [size=\"47282176\", alpha=\"0.08\", expect_size=\"23641088\"] \n  40 [size=\"25466880\", alpha=\"0.20\", expect_size=\"12733440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160191147\", alpha=\"0.05\", expect_size=\"48057344\"] \n  1 -> 20 [size =\"48057344\"]\n  1 -> 21 [size =\"48057344\"]\n  1 -> 24 [size =\"48057344\"]\n  2 [size=\"157945173\", alpha=\"0.01\", expect_size=\"47383552\"] \n  2 -> 27 [size =\"47383552\"]\n  3 [size=\"153572693\", alpha=\"0.16\", expect_size=\"46071808\"] \n  3 -> 17 [size =\"46071808\"]\n  3 -> 21 [size =\"46071808\"]\n  3 -> 24 [size =\"46071808\"]\n  3 -> 27 [size =\"46071808\"]\n  4 [size=\"116575573\", alpha=\"0.05\", expect_size=\"34972672\"] \n  4 -> 17 [size =\"34972672\"]\n  4 -> 27 [size =\"34972672\"]\n  5 [size=\"32235520\", alpha=\"0.02\", expect_size=\"9670656\"] \n  5 -> 17 [size =\"9670656\"]\n  5 -> 21 [size =\"9670656\"]\n  5 -> 24 [size =\"9670656\"]\n  5 -> 25 [size =\"9670656\"]\n  6 [size=\"112773120\", alpha=\"0.03\", expect_size=\"33831936\"] \n  6 -> 17 [size =\"33831936\"]\n  6 -> 21 [size =\"33831936\"]\n  6 -> 22 [size =\"33831936\"]\n  7 [size=\"143114240\", alpha=\"0.19\", expect_size=\"42934272\"] \n  7 -> 17 [size =\"42934272\"]\n  7 -> 20 [size =\"42934272\"]\n  7 -> 21 [size =\"42934272\"]\n  8 [size=\"152115200\", alpha=\"0.05\", expect_size=\"45634560\"] \n  8 -> 18 [size =\"45634560\"]\n  8 -> 22 [size =\"45634560\"]\n  9 [size=\"87705600\", alpha=\"0.16\", expect_size=\"26311680\"] \n  9 -> 18 [size =\"26311680\"]\n  10 [size=\"21312853\", alpha=\"0.03\", expect_size=\"6393856\"] \n  10 -> 17 [size =\"6393856\"]\n  10 -> 24 [size =\"6393856\"]\n  11 [size=\"122736640\", alpha=\"0.09\", expect_size=\"36820992\"] \n  11 -> 17 [size =\"36820992\"]\n  11 -> 20 [size =\"36820992\"]\n  11 -> 22 [size =\"36820992\"]\n  11 -> 25 [size =\"36820992\"]\n  11 -> 27 [size =\"36820992\"]\n  12 [size=\"158378667\", alpha=\"0.03\", expect_size=\"47513600\"] \n  12 -> 17 [size =\"47513600\"]\n  12 -> 19 [size =\"47513600\"]\n  12 -> 22 [size =\"47513600\"]\n  12 -> 24 [size =\"47513600\"]\n  13 [size=\"165270187\", alpha=\"0.14\", expect_size=\"49581056\"] \n  13 -> 20 [size =\"49581056\"]\n  13 -> 21 [size =\"49581056\"]\n  13 -> 22 [size =\"49581056\"]\n  13 -> 24 [size =\"49581056\"]\n  13 -> 26 [size =\"49581056\"]\n  13 -> 27 [size =\"49581056\"]\n  14 [size=\"134983680\", alpha=\"0.14\", expect_size=\"40495104\"] \n  14 -> 20 [size =\"40495104\"]\n  14 -> 22 [size =\"40495104\"]\n  14 -> 25 [size =\"40495104\"]\n  14 -> 27 [size =\"40495104\"]\n  15 [size=\"20029440\", alpha=\"0.12\", expect_size=\"6008832\"] \n  15 -> 21 [size =\"6008832\"]\n  15 -> 23 [size =\"6008832\"]\n  15 -> 24 [size =\"6008832\"]\n  15 -> 26 [size =\"6008832\"]\n  15 -> 27 [size =\"6008832\"]\n  16 [size=\"37485227\", alpha=\"0.09\", expect_size=\"11245568\"] \n  16 -> 23 [size =\"11245568\"]\n  16 -> 24 [size =\"11245568\"]\n  16 -> 27 [size =\"11245568\"]\n  17 [size=\"60617387\", alpha=\"0.14\", expect_size=\"18185216\"] \n  17 -> 36 [size =\"18185216\"]\n  18 [size=\"49131520\", alpha=\"0.10\", expect_size=\"14739456\"] \n  18 -> 31 [size =\"14739456\"]\n  18 -> 36 [size =\"14739456\"]\n  18 -> 38 [size =\"14739456\"]\n  18 -> 40 [size =\"14739456\"]\n  19 [size=\"90668373\", alpha=\"0.09\", expect_size=\"27200512\"] \n  19 -> 29 [size =\"27200512\"]\n  19 -> 31 [size =\"27200512\"]\n  19 -> 32 [size =\"27200512\"]\n  19 -> 39 [size =\"27200512\"]\n  19 -> 40 [size =\"27200512\"]\n  20 [size=\"60320427\", alpha=\"0.03\", expect_size=\"18096128\"] \n  20 -> 31 [size =\"18096128\"]\n  20 -> 33 [size =\"18096128\"]\n  20 -> 34 [size =\"18096128\"]\n  20 -> 39 [size =\"18096128\"]\n  21 [size=\"86626987\", alpha=\"0.15\", expect_size=\"25988096\"] \n  21 -> 33 [size =\"25988096\"]\n  21 -> 33 [size =\"25988096\"]\n  21 -> 34 [size =\"25988096\"]\n  21 -> 38 [size =\"25988096\"]\n  22 [size=\"160303787\", alpha=\"0.05\", expect_size=\"48091136\"] \n  22 -> 30 [size =\"48091136\"]\n  22 -> 34 [size =\"48091136\"]\n  22 -> 35 [size =\"48091136\"]\n  22 -> 37 [size =\"48091136\"]\n  22 -> 39 [size =\"48091136\"]\n  23 [size=\"27023360\", alpha=\"0.12\", expect_size=\"8107008\"] \n  23 -> 30 [size =\"8107008\"]\n  23 -> 32 [size =\"8107008\"]\n  23 -> 34 [size =\"8107008\"]\n  23 -> 38 [size =\"8107008\"]\n  24 [size=\"136523093\", alpha=\"0.12\", expect_size=\"40956928\"] \n  24 -> 30 [size =\"40956928\"]\n  24 -> 31 [size =\"40956928\"]\n  24 -> 34 [size =\"40956928\"]\n  24 -> 35 [size =\"40956928\"]\n  25 [size=\"85790720\", alpha=\"0.13\", expect_size=\"25737216\"] \n  25 -> 32 [size =\"25737216\"]\n  25 -> 35 [size =\"25737216\"]\n  25 -> 40 [size =\"25737216\"]\n  26 [size=\"23183360\", alpha=\"0.07\", expect_size=\"6955008\"] \n  26 -> 31 [size =\"6955008\"]\n  26 -> 35 [size =\"6955008\"]\n  26 -> 39 [size =\"6955008\"]\n  27 [size=\"92555947\", alpha=\"0.17\", expect_size=\"27766784\"] \n  27 -> 28 [size =\"27766784\"]\n  27 -> 29 [size =\"27766784\"]\n  27 -> 35 [size =\"27766784\"]\n  27 -> 36 [size =\"27766784\"]\n  27 -> 38 [size =\"27766784\"]\n  27 -> 39 [size =\"27766784\"]\n  28 [size=\"47964160\", alpha=\"0.04\", expect_size=\"14389248\"] \n  29 [size=\"129839787\", alpha=\"0.20\", expect_size=\"38951936\"] \n  30 [size=\"42922667\", alpha=\"0.16\", expect_size=\"12876800\"] \n  31 [size=\"65112747\", alpha=\"0.06\", expect_size=\"19533824\"] \n  32 [size=\"24552107\", alpha=\"0.13\", expect_size=\"7365632\"] \n  33 [size=\"61713067\", alpha=\"0.20\", expect_size=\"18513920\"] \n  34 [size=\"155405653\", alpha=\"0.01\", expect_size=\"46621696\"] \n  35 [size=\"90159787\", alpha=\"0.03\", expect_size=\"27047936\"] \n  36 [size=\"38017707\", alpha=\"0.07\", expect_size=\"11405312\"] \n  37 [size=\"94286507\", alpha=\"0.16\", expect_size=\"28285952\"] \n  38 [size=\"70027947\", alpha=\"0.10\", expect_size=\"21008384\"] \n  39 [size=\"99884373\", alpha=\"0.13\", expect_size=\"29965312\"] \n  40 [size=\"96802133\", alpha=\"0.02\", expect_size=\"29040640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100730880\", alpha=\"0.08\", expect_size=\"40292352\"] \n  1 -> 2 [size =\"40292352\"]\n  2 [size=\"91706880\", alpha=\"0.03\", expect_size=\"36682752\"] \n  2 -> 3 [size =\"36682752\"]\n  3 [size=\"33000960\", alpha=\"0.06\", expect_size=\"13200384\"] \n  3 -> 4 [size =\"13200384\"]\n  4 [size=\"30620160\", alpha=\"0.01\", expect_size=\"12248064\"] \n  4 -> 5 [size =\"12248064\"]\n  5 [size=\"76943360\", alpha=\"0.04\", expect_size=\"30777344\"] \n  5 -> 6 [size =\"30777344\"]\n  6 [size=\"112120320\", alpha=\"0.18\", expect_size=\"44848128\"] \n  6 -> 7 [size =\"44848128\"]\n  7 [size=\"90600960\", alpha=\"0.06\", expect_size=\"36240384\"] \n  7 -> 8 [size =\"36240384\"]\n  8 [size=\"59110400\", alpha=\"0.18\", expect_size=\"23644160\"] \n  8 -> 9 [size =\"23644160\"]\n  9 [size=\"115614720\", alpha=\"0.03\", expect_size=\"46245888\"] \n  9 -> 10 [size =\"46245888\"]\n  10 [size=\"14435840\", alpha=\"0.14\", expect_size=\"5774336\"] \n  10 -> 11 [size =\"5774336\"]\n  11 [size=\"107765760\", alpha=\"0.05\", expect_size=\"43106304\"] \n  11 -> 12 [size =\"43106304\"]\n  12 [size=\"38799360\", alpha=\"0.18\", expect_size=\"15519744\"] \n  12 -> 13 [size =\"15519744\"]\n  13 [size=\"57582080\", alpha=\"0.17\", expect_size=\"23032832\"] \n  13 -> 14 [size =\"23032832\"]\n  14 [size=\"91619840\", alpha=\"0.08\", expect_size=\"36647936\"] \n  14 -> 15 [size =\"36647936\"]\n  15 [size=\"99642880\", alpha=\"0.03\", expect_size=\"39857152\"] \n  15 -> 16 [size =\"39857152\"]\n  16 [size=\"125870080\", alpha=\"0.13\", expect_size=\"50348032\"] \n  16 -> 17 [size =\"50348032\"]\n  17 [size=\"112647680\", alpha=\"0.04\", expect_size=\"45059072\"] \n  17 -> 18 [size =\"45059072\"]\n  18 [size=\"30159360\", alpha=\"0.07\", expect_size=\"12063744\"] \n  18 -> 19 [size =\"12063744\"]\n  19 [size=\"17797120\", alpha=\"0.12\", expect_size=\"7118848\"] \n  19 -> 20 [size =\"7118848\"]\n  20 [size=\"35868160\", alpha=\"0.01\", expect_size=\"14347264\"] \n  20 -> 21 [size =\"14347264\"]\n  21 [size=\"115911680\", alpha=\"0.05\", expect_size=\"46364672\"] \n  21 -> 22 [size =\"46364672\"]\n  22 [size=\"28375040\", alpha=\"0.03\", expect_size=\"11350016\"] \n  22 -> 23 [size =\"11350016\"]\n  23 [size=\"18007040\", alpha=\"0.03\", expect_size=\"7202816\"] \n  23 -> 24 [size =\"7202816\"]\n  24 [size=\"117309440\", alpha=\"0.07\", expect_size=\"46923776\"] \n  24 -> 25 [size =\"46923776\"]\n  25 [size=\"48857600\", alpha=\"0.02\", expect_size=\"19543040\"] \n  25 -> 26 [size =\"19543040\"]\n  26 [size=\"67875840\", alpha=\"0.13\", expect_size=\"27150336\"] \n  26 -> 27 [size =\"27150336\"]\n  27 [size=\"25943040\", alpha=\"0.17\", expect_size=\"10377216\"] \n  27 -> 28 [size =\"10377216\"]\n  28 [size=\"51279360\", alpha=\"0.10\", expect_size=\"20511744\"] \n  28 -> 29 [size =\"20511744\"]\n  29 [size=\"92654080\", alpha=\"0.19\", expect_size=\"37061632\"] \n  29 -> 30 [size =\"37061632\"]\n  30 [size=\"44800000\", alpha=\"0.09\", expect_size=\"17920000\"] \n  30 -> 31 [size =\"17920000\"]\n  31 [size=\"51161600\", alpha=\"0.15\", expect_size=\"20464640\"] \n  31 -> 32 [size =\"20464640\"]\n  32 [size=\"81405440\", alpha=\"0.05\", expect_size=\"32562176\"] \n  32 -> 33 [size =\"32562176\"]\n  33 [size=\"96163840\", alpha=\"0.03\", expect_size=\"38465536\"] \n  33 -> 34 [size =\"38465536\"]\n  34 [size=\"115333120\", alpha=\"0.14\", expect_size=\"46133248\"] \n  34 -> 35 [size =\"46133248\"]\n  35 [size=\"38464000\", alpha=\"0.00\", expect_size=\"15385600\"] \n  35 -> 36 [size =\"15385600\"]\n  36 [size=\"47354880\", alpha=\"0.05\", expect_size=\"18941952\"] \n  36 -> 37 [size =\"18941952\"]\n  37 [size=\"123061760\", alpha=\"0.07\", expect_size=\"49224704\"] \n  37 -> 38 [size =\"49224704\"]\n  38 [size=\"107141120\", alpha=\"0.11\", expect_size=\"42856448\"] \n  38 -> 39 [size =\"42856448\"]\n  39 [size=\"45603840\", alpha=\"0.17\", expect_size=\"18241536\"] \n  39 -> 40 [size =\"18241536\"]\n  40 [size=\"40952320\", alpha=\"0.06\", expect_size=\"16380928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59255467\", alpha=\"0.02\", expect_size=\"17776640\"] \n  1 -> 6 [size =\"17776640\"]\n  1 -> 8 [size =\"17776640\"]\n  2 [size=\"167680000\", alpha=\"0.04\", expect_size=\"50304000\"] \n  2 -> 7 [size =\"50304000\"]\n  2 -> 9 [size =\"50304000\"]\n  3 [size=\"133164373\", alpha=\"0.03\", expect_size=\"39949312\"] \n  4 [size=\"43898880\", alpha=\"0.10\", expect_size=\"13169664\"] \n  4 -> 7 [size =\"13169664\"]\n  4 -> 9 [size =\"13169664\"]\n  4 -> 10 [size =\"13169664\"]\n  5 [size=\"86111573\", alpha=\"0.12\", expect_size=\"25833472\"] \n  5 -> 6 [size =\"25833472\"]\n  5 -> 7 [size =\"25833472\"]\n  5 -> 9 [size =\"25833472\"]\n  6 [size=\"82121387\", alpha=\"0.14\", expect_size=\"24636416\"] \n  6 -> 14 [size =\"24636416\"]\n  7 [size=\"33556480\", alpha=\"0.16\", expect_size=\"10066944\"] \n  7 -> 11 [size =\"10066944\"]\n  7 -> 13 [size =\"10066944\"]\n  7 -> 15 [size =\"10066944\"]\n  8 [size=\"105666560\", alpha=\"0.20\", expect_size=\"31699968\"] \n  8 -> 14 [size =\"31699968\"]\n  8 -> 15 [size =\"31699968\"]\n  8 -> 15 [size =\"31699968\"]\n  8 -> 16 [size =\"31699968\"]\n  9 [size=\"107451733\", alpha=\"0.03\", expect_size=\"32235520\"] \n  9 -> 12 [size =\"32235520\"]\n  9 -> 13 [size =\"32235520\"]\n  10 [size=\"34409813\", alpha=\"0.10\", expect_size=\"10322944\"] \n  10 -> 12 [size =\"10322944\"]\n  10 -> 14 [size =\"10322944\"]\n  10 -> 16 [size =\"10322944\"]\n  11 [size=\"169990827\", alpha=\"0.14\", expect_size=\"50997248\"] \n  11 -> 19 [size =\"50997248\"]\n  12 [size=\"25023147\", alpha=\"0.19\", expect_size=\"7506944\"] \n  12 -> 19 [size =\"7506944\"]\n  13 [size=\"54009173\", alpha=\"0.17\", expect_size=\"16202752\"] \n  13 -> 18 [size =\"16202752\"]\n  13 -> 19 [size =\"16202752\"]\n  14 [size=\"76922880\", alpha=\"0.15\", expect_size=\"23076864\"] \n  14 -> 17 [size =\"23076864\"]\n  14 -> 20 [size =\"23076864\"]\n  15 [size=\"152384853\", alpha=\"0.05\", expect_size=\"45715456\"] \n  15 -> 19 [size =\"45715456\"]\n  15 -> 21 [size =\"45715456\"]\n  16 [size=\"86060373\", alpha=\"0.00\", expect_size=\"25818112\"] \n  16 -> 20 [size =\"25818112\"]\n  17 [size=\"40581120\", alpha=\"0.15\", expect_size=\"12174336\"] \n  17 -> 23 [size =\"12174336\"]\n  17 -> 24 [size =\"12174336\"]\n  17 -> 25 [size =\"12174336\"]\n  17 -> 27 [size =\"12174336\"]\n  18 [size=\"163904853\", alpha=\"0.04\", expect_size=\"49171456\"] \n  18 -> 22 [size =\"49171456\"]\n  18 -> 24 [size =\"49171456\"]\n  18 -> 27 [size =\"49171456\"]\n  19 [size=\"160993280\", alpha=\"0.11\", expect_size=\"48297984\"] \n  19 -> 22 [size =\"48297984\"]\n  19 -> 24 [size =\"48297984\"]\n  20 [size=\"29791573\", alpha=\"0.10\", expect_size=\"8937472\"] \n  20 -> 22 [size =\"8937472\"]\n  20 -> 24 [size =\"8937472\"]\n  20 -> 26 [size =\"8937472\"]\n  21 [size=\"108294827\", alpha=\"0.14\", expect_size=\"32488448\"] \n  21 -> 22 [size =\"32488448\"]\n  21 -> 27 [size =\"32488448\"]\n  22 [size=\"60900693\", alpha=\"0.17\", expect_size=\"18270208\"] \n  22 -> 28 [size =\"18270208\"]\n  22 -> 30 [size =\"18270208\"]\n  22 -> 33 [size =\"18270208\"]\n  23 [size=\"49739093\", alpha=\"0.15\", expect_size=\"14921728\"] \n  23 -> 29 [size =\"14921728\"]\n  23 -> 31 [size =\"14921728\"]\n  23 -> 32 [size =\"14921728\"]\n  24 [size=\"27091627\", alpha=\"0.17\", expect_size=\"8127488\"] \n  24 -> 31 [size =\"8127488\"]\n  25 [size=\"141752320\", alpha=\"0.07\", expect_size=\"42525696\"] \n  25 -> 28 [size =\"42525696\"]\n  25 -> 31 [size =\"42525696\"]\n  25 -> 33 [size =\"42525696\"]\n  26 [size=\"21998933\", alpha=\"0.05\", expect_size=\"6599680\"] \n  26 -> 28 [size =\"6599680\"]\n  26 -> 32 [size =\"6599680\"]\n  27 [size=\"23036587\", alpha=\"0.06\", expect_size=\"6910976\"] \n  27 -> 28 [size =\"6910976\"]\n  27 -> 33 [size =\"6910976\"]\n  28 [size=\"137608533\", alpha=\"0.17\", expect_size=\"41282560\"] \n  28 -> 36 [size =\"41282560\"]\n  29 [size=\"170635947\", alpha=\"0.00\", expect_size=\"51190784\"] \n  29 -> 34 [size =\"51190784\"]\n  29 -> 35 [size =\"51190784\"]\n  29 -> 36 [size =\"51190784\"]\n  30 [size=\"99328000\", alpha=\"0.06\", expect_size=\"29798400\"] \n  30 -> 35 [size =\"29798400\"]\n  30 -> 35 [size =\"29798400\"]\n  30 -> 36 [size =\"29798400\"]\n  30 -> 37 [size =\"29798400\"]\n  30 -> 38 [size =\"29798400\"]\n  31 [size=\"19578880\", alpha=\"0.10\", expect_size=\"5873664\"] \n  31 -> 35 [size =\"5873664\"]\n  31 -> 36 [size =\"5873664\"]\n  31 -> 37 [size =\"5873664\"]\n  31 -> 38 [size =\"5873664\"]\n  32 [size=\"130457600\", alpha=\"0.16\", expect_size=\"39137280\"] \n  32 -> 34 [size =\"39137280\"]\n  32 -> 35 [size =\"39137280\"]\n  32 -> 38 [size =\"39137280\"]\n  33 [size=\"110312107\", alpha=\"0.06\", expect_size=\"33093632\"] \n  33 -> 34 [size =\"33093632\"]\n  33 -> 38 [size =\"33093632\"]\n  34 [size=\"74833920\", alpha=\"0.04\", expect_size=\"22450176\"] \n  34 -> 40 [size =\"22450176\"]\n  35 [size=\"50442240\", alpha=\"0.19\", expect_size=\"15132672\"] \n  35 -> 40 [size =\"15132672\"]\n  36 [size=\"105782613\", alpha=\"0.02\", expect_size=\"31734784\"] \n  36 -> 39 [size =\"31734784\"]\n  36 -> 40 [size =\"31734784\"]\n  37 [size=\"148206933\", alpha=\"0.09\", expect_size=\"44462080\"] \n  37 -> 39 [size =\"44462080\"]\n  38 [size=\"36515840\", alpha=\"0.14\", expect_size=\"10954752\"] \n  38 -> 39 [size =\"10954752\"]\n  38 -> 40 [size =\"10954752\"]\n  39 [size=\"173475840\", alpha=\"0.18\", expect_size=\"52042752\"] \n  40 [size=\"19913387\", alpha=\"0.03\", expect_size=\"5974016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126873600\", alpha=\"0.18\", expect_size=\"50749440\"] \n  1 -> 30 [size =\"50749440\"]\n  1 -> 32 [size =\"50749440\"]\n  1 -> 34 [size =\"50749440\"]\n  1 -> 39 [size =\"50749440\"]\n  1 -> 40 [size =\"50749440\"]\n  2 [size=\"78707200\", alpha=\"0.19\", expect_size=\"31482880\"] \n  2 -> 30 [size =\"31482880\"]\n  2 -> 32 [size =\"31482880\"]\n  2 -> 36 [size =\"31482880\"]\n  2 -> 40 [size =\"31482880\"]\n  3 [size=\"117186560\", alpha=\"0.02\", expect_size=\"46874624\"] \n  3 -> 30 [size =\"46874624\"]\n  3 -> 32 [size =\"46874624\"]\n  3 -> 34 [size =\"46874624\"]\n  3 -> 35 [size =\"46874624\"]\n  3 -> 36 [size =\"46874624\"]\n  3 -> 37 [size =\"46874624\"]\n  3 -> 38 [size =\"46874624\"]\n  4 [size=\"46786560\", alpha=\"0.16\", expect_size=\"18714624\"] \n  4 -> 30 [size =\"18714624\"]\n  4 -> 32 [size =\"18714624\"]\n  4 -> 34 [size =\"18714624\"]\n  4 -> 35 [size =\"18714624\"]\n  5 [size=\"39848960\", alpha=\"0.10\", expect_size=\"15939584\"] \n  5 -> 30 [size =\"15939584\"]\n  5 -> 31 [size =\"15939584\"]\n  5 -> 32 [size =\"15939584\"]\n  5 -> 34 [size =\"15939584\"]\n  5 -> 36 [size =\"15939584\"]\n  6 [size=\"96373760\", alpha=\"0.16\", expect_size=\"38549504\"] \n  6 -> 30 [size =\"38549504\"]\n  6 -> 31 [size =\"38549504\"]\n  6 -> 32 [size =\"38549504\"]\n  6 -> 34 [size =\"38549504\"]\n  6 -> 35 [size =\"38549504\"]\n  6 -> 36 [size =\"38549504\"]\n  6 -> 38 [size =\"38549504\"]\n  7 [size=\"82944000\", alpha=\"0.10\", expect_size=\"33177600\"] \n  7 -> 30 [size =\"33177600\"]\n  7 -> 31 [size =\"33177600\"]\n  7 -> 32 [size =\"33177600\"]\n  7 -> 35 [size =\"33177600\"]\n  7 -> 35 [size =\"33177600\"]\n  7 -> 36 [size =\"33177600\"]\n  7 -> 38 [size =\"33177600\"]\n  7 -> 39 [size =\"33177600\"]\n  8 [size=\"91673600\", alpha=\"0.04\", expect_size=\"36669440\"] \n  8 -> 30 [size =\"36669440\"]\n  8 -> 32 [size =\"36669440\"]\n  8 -> 32 [size =\"36669440\"]\n  8 -> 34 [size =\"36669440\"]\n  8 -> 35 [size =\"36669440\"]\n  8 -> 36 [size =\"36669440\"]\n  8 -> 39 [size =\"36669440\"]\n  9 [size=\"17431040\", alpha=\"0.10\", expect_size=\"6972416\"] \n  9 -> 30 [size =\"6972416\"]\n  9 -> 31 [size =\"6972416\"]\n  9 -> 34 [size =\"6972416\"]\n  9 -> 36 [size =\"6972416\"]\n  9 -> 39 [size =\"6972416\"]\n  10 [size=\"37370880\", alpha=\"0.08\", expect_size=\"14948352\"] \n  10 -> 30 [size =\"14948352\"]\n  10 -> 31 [size =\"14948352\"]\n  10 -> 34 [size =\"14948352\"]\n  10 -> 35 [size =\"14948352\"]\n  10 -> 39 [size =\"14948352\"]\n  11 [size=\"77509120\", alpha=\"0.04\", expect_size=\"31003648\"] \n  11 -> 30 [size =\"31003648\"]\n  11 -> 36 [size =\"31003648\"]\n  12 [size=\"66524160\", alpha=\"0.16\", expect_size=\"26609664\"] \n  12 -> 30 [size =\"26609664\"]\n  12 -> 34 [size =\"26609664\"]\n  13 [size=\"61304320\", alpha=\"0.13\", expect_size=\"24521728\"] \n  13 -> 30 [size =\"24521728\"]\n  13 -> 32 [size =\"24521728\"]\n  13 -> 40 [size =\"24521728\"]\n  14 [size=\"73282560\", alpha=\"0.04\", expect_size=\"29313024\"] \n  14 -> 30 [size =\"29313024\"]\n  14 -> 32 [size =\"29313024\"]\n  14 -> 34 [size =\"29313024\"]\n  14 -> 35 [size =\"29313024\"]\n  14 -> 40 [size =\"29313024\"]\n  15 [size=\"48844800\", alpha=\"0.01\", expect_size=\"19537920\"] \n  15 -> 32 [size =\"19537920\"]\n  15 -> 32 [size =\"19537920\"]\n  15 -> 34 [size =\"19537920\"]\n  15 -> 35 [size =\"19537920\"]\n  15 -> 36 [size =\"19537920\"]\n  15 -> 38 [size =\"19537920\"]\n  15 -> 40 [size =\"19537920\"]\n  16 [size=\"109570560\", alpha=\"0.16\", expect_size=\"43828224\"] \n  16 -> 30 [size =\"43828224\"]\n  16 -> 34 [size =\"43828224\"]\n  16 -> 34 [size =\"43828224\"]\n  16 -> 35 [size =\"43828224\"]\n  16 -> 36 [size =\"43828224\"]\n  16 -> 39 [size =\"43828224\"]\n  16 -> 40 [size =\"43828224\"]\n  17 [size=\"87203840\", alpha=\"0.09\", expect_size=\"34881536\"] \n  17 -> 30 [size =\"34881536\"]\n  17 -> 32 [size =\"34881536\"]\n  17 -> 34 [size =\"34881536\"]\n  17 -> 36 [size =\"34881536\"]\n  17 -> 37 [size =\"34881536\"]\n  17 -> 38 [size =\"34881536\"]\n  18 [size=\"27299840\", alpha=\"0.04\", expect_size=\"10919936\"] \n  18 -> 32 [size =\"10919936\"]\n  18 -> 34 [size =\"10919936\"]\n  18 -> 34 [size =\"10919936\"]\n  18 -> 35 [size =\"10919936\"]\n  18 -> 36 [size =\"10919936\"]\n  18 -> 38 [size =\"10919936\"]\n  18 -> 39 [size =\"10919936\"]\n  19 [size=\"48445440\", alpha=\"0.06\", expect_size=\"19378176\"] \n  19 -> 30 [size =\"19378176\"]\n  19 -> 31 [size =\"19378176\"]\n  19 -> 32 [size =\"19378176\"]\n  19 -> 34 [size =\"19378176\"]\n  19 -> 35 [size =\"19378176\"]\n  19 -> 36 [size =\"19378176\"]\n  19 -> 38 [size =\"19378176\"]\n  20 [size=\"105164800\", alpha=\"0.11\", expect_size=\"42065920\"] \n  20 -> 30 [size =\"42065920\"]\n  20 -> 32 [size =\"42065920\"]\n  20 -> 34 [size =\"42065920\"]\n  20 -> 34 [size =\"42065920\"]\n  20 -> 38 [size =\"42065920\"]\n  21 [size=\"34065920\", alpha=\"0.15\", expect_size=\"13626368\"] \n  21 -> 30 [size =\"13626368\"]\n  21 -> 34 [size =\"13626368\"]\n  21 -> 34 [size =\"13626368\"]\n  21 -> 35 [size =\"13626368\"]\n  22 [size=\"60572160\", alpha=\"0.10\", expect_size=\"24228864\"] \n  22 -> 31 [size =\"24228864\"]\n  22 -> 36 [size =\"24228864\"]\n  22 -> 38 [size =\"24228864\"]\n  23 [size=\"35031040\", alpha=\"0.03\", expect_size=\"14012416\"] \n  23 -> 30 [size =\"14012416\"]\n  23 -> 32 [size =\"14012416\"]\n  23 -> 35 [size =\"14012416\"]\n  23 -> 36 [size =\"14012416\"]\n  24 [size=\"112499200\", alpha=\"0.01\", expect_size=\"44999680\"] \n  24 -> 32 [size =\"44999680\"]\n  24 -> 34 [size =\"44999680\"]\n  24 -> 35 [size =\"44999680\"]\n  24 -> 36 [size =\"44999680\"]\n  24 -> 37 [size =\"44999680\"]\n  25 [size=\"17543680\", alpha=\"0.04\", expect_size=\"7017472\"] \n  25 -> 30 [size =\"7017472\"]\n  25 -> 32 [size =\"7017472\"]\n  25 -> 34 [size =\"7017472\"]\n  25 -> 36 [size =\"7017472\"]\n  25 -> 37 [size =\"7017472\"]\n  25 -> 38 [size =\"7017472\"]\n  25 -> 40 [size =\"7017472\"]\n  26 [size=\"23196160\", alpha=\"0.01\", expect_size=\"9278464\"] \n  26 -> 30 [size =\"9278464\"]\n  26 -> 33 [size =\"9278464\"]\n  26 -> 36 [size =\"9278464\"]\n  26 -> 37 [size =\"9278464\"]\n  26 -> 38 [size =\"9278464\"]\n  26 -> 40 [size =\"9278464\"]\n  27 [size=\"119413760\", alpha=\"0.10\", expect_size=\"47765504\"] \n  27 -> 30 [size =\"47765504\"]\n  27 -> 36 [size =\"47765504\"]\n  27 -> 39 [size =\"47765504\"]\n  27 -> 40 [size =\"47765504\"]\n  28 [size=\"53821440\", alpha=\"0.12\", expect_size=\"21528576\"] \n  28 -> 30 [size =\"21528576\"]\n  28 -> 32 [size =\"21528576\"]\n  28 -> 35 [size =\"21528576\"]\n  28 -> 37 [size =\"21528576\"]\n  28 -> 40 [size =\"21528576\"]\n  29 [size=\"75507200\", alpha=\"0.15\", expect_size=\"30202880\"] \n  29 -> 30 [size =\"30202880\"]\n  29 -> 32 [size =\"30202880\"]\n  29 -> 34 [size =\"30202880\"]\n  29 -> 36 [size =\"30202880\"]\n  29 -> 40 [size =\"30202880\"]\n  30 [size=\"112330240\", alpha=\"0.02\", expect_size=\"44932096\"] \n  31 [size=\"58613760\", alpha=\"0.00\", expect_size=\"23445504\"] \n  32 [size=\"28126720\", alpha=\"0.07\", expect_size=\"11250688\"] \n  33 [size=\"86469120\", alpha=\"0.02\", expect_size=\"34587648\"] \n  34 [size=\"101793280\", alpha=\"0.08\", expect_size=\"40717312\"] \n  35 [size=\"107776000\", alpha=\"0.19\", expect_size=\"43110400\"] \n  36 [size=\"13199360\", alpha=\"0.07\", expect_size=\"5279744\"] \n  37 [size=\"19292160\", alpha=\"0.08\", expect_size=\"7716864\"] \n  38 [size=\"77931520\", alpha=\"0.10\", expect_size=\"31172608\"] \n  39 [size=\"31754240\", alpha=\"0.19\", expect_size=\"12701696\"] \n  40 [size=\"121016320\", alpha=\"0.04\", expect_size=\"48406528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16234496\", alpha=\"0.05\", expect_size=\"8117248\"] \n  1 -> 22 [size =\"8117248\"]\n  1 -> 28 [size =\"8117248\"]\n  1 -> 29 [size =\"8117248\"]\n  1 -> 37 [size =\"8117248\"]\n  1 -> 38 [size =\"8117248\"]\n  1 -> 40 [size =\"8117248\"]\n  2 [size=\"103661568\", alpha=\"0.01\", expect_size=\"51830784\"] \n  2 -> 22 [size =\"51830784\"]\n  2 -> 23 [size =\"51830784\"]\n  2 -> 24 [size =\"51830784\"]\n  2 -> 36 [size =\"51830784\"]\n  2 -> 39 [size =\"51830784\"]\n  3 [size=\"55869440\", alpha=\"0.12\", expect_size=\"27934720\"] \n  3 -> 21 [size =\"27934720\"]\n  3 -> 24 [size =\"27934720\"]\n  3 -> 26 [size =\"27934720\"]\n  3 -> 28 [size =\"27934720\"]\n  3 -> 31 [size =\"27934720\"]\n  3 -> 35 [size =\"27934720\"]\n  3 -> 37 [size =\"27934720\"]\n  3 -> 38 [size =\"27934720\"]\n  3 -> 39 [size =\"27934720\"]\n  4 [size=\"66600960\", alpha=\"0.08\", expect_size=\"33300480\"] \n  4 -> 39 [size =\"33300480\"]\n  4 -> 40 [size =\"33300480\"]\n  5 [size=\"75837440\", alpha=\"0.07\", expect_size=\"37918720\"] \n  5 -> 27 [size =\"37918720\"]\n  5 -> 36 [size =\"37918720\"]\n  5 -> 38 [size =\"37918720\"]\n  6 [size=\"77846528\", alpha=\"0.02\", expect_size=\"38923264\"] \n  6 -> 27 [size =\"38923264\"]\n  6 -> 28 [size =\"38923264\"]\n  6 -> 31 [size =\"38923264\"]\n  6 -> 36 [size =\"38923264\"]\n  7 [size=\"30517248\", alpha=\"0.17\", expect_size=\"15258624\"] \n  7 -> 21 [size =\"15258624\"]\n  7 -> 22 [size =\"15258624\"]\n  7 -> 24 [size =\"15258624\"]\n  7 -> 26 [size =\"15258624\"]\n  7 -> 29 [size =\"15258624\"]\n  7 -> 32 [size =\"15258624\"]\n  7 -> 34 [size =\"15258624\"]\n  7 -> 37 [size =\"15258624\"]\n  7 -> 39 [size =\"15258624\"]\n  7 -> 40 [size =\"15258624\"]\n  8 [size=\"93458432\", alpha=\"0.02\", expect_size=\"46729216\"] \n  8 -> 21 [size =\"46729216\"]\n  8 -> 24 [size =\"46729216\"]\n  8 -> 30 [size =\"46729216\"]\n  8 -> 35 [size =\"46729216\"]\n  8 -> 37 [size =\"46729216\"]\n  8 -> 39 [size =\"46729216\"]\n  9 [size=\"97468416\", alpha=\"0.03\", expect_size=\"48734208\"] \n  9 -> 21 [size =\"48734208\"]\n  9 -> 22 [size =\"48734208\"]\n  9 -> 24 [size =\"48734208\"]\n  9 -> 27 [size =\"48734208\"]\n  9 -> 29 [size =\"48734208\"]\n  9 -> 31 [size =\"48734208\"]\n  9 -> 35 [size =\"48734208\"]\n  9 -> 36 [size =\"48734208\"]\n  9 -> 40 [size =\"48734208\"]\n  10 [size=\"85266432\", alpha=\"0.05\", expect_size=\"42633216\"] \n  10 -> 24 [size =\"42633216\"]\n  10 -> 27 [size =\"42633216\"]\n  10 -> 30 [size =\"42633216\"]\n  10 -> 31 [size =\"42633216\"]\n  10 -> 32 [size =\"42633216\"]\n  10 -> 37 [size =\"42633216\"]\n  10 -> 39 [size =\"42633216\"]\n  11 [size=\"53055488\", alpha=\"0.14\", expect_size=\"26527744\"] \n  11 -> 21 [size =\"26527744\"]\n  11 -> 22 [size =\"26527744\"]\n  11 -> 23 [size =\"26527744\"]\n  11 -> 26 [size =\"26527744\"]\n  11 -> 27 [size =\"26527744\"]\n  11 -> 32 [size =\"26527744\"]\n  11 -> 35 [size =\"26527744\"]\n  11 -> 36 [size =\"26527744\"]\n  11 -> 39 [size =\"26527744\"]\n  12 [size=\"78131200\", alpha=\"0.10\", expect_size=\"39065600\"] \n  12 -> 22 [size =\"39065600\"]\n  12 -> 23 [size =\"39065600\"]\n  12 -> 26 [size =\"39065600\"]\n  12 -> 30 [size =\"39065600\"]\n  12 -> 31 [size =\"39065600\"]\n  12 -> 38 [size =\"39065600\"]\n  12 -> 39 [size =\"39065600\"]\n  13 [size=\"81416192\", alpha=\"0.00\", expect_size=\"40708096\"] \n  13 -> 22 [size =\"40708096\"]\n  13 -> 23 [size =\"40708096\"]\n  13 -> 24 [size =\"40708096\"]\n  13 -> 27 [size =\"40708096\"]\n  13 -> 30 [size =\"40708096\"]\n  13 -> 31 [size =\"40708096\"]\n  13 -> 36 [size =\"40708096\"]\n  13 -> 38 [size =\"40708096\"]\n  14 [size=\"44359680\", alpha=\"0.17\", expect_size=\"22179840\"] \n  14 -> 27 [size =\"22179840\"]\n  14 -> 28 [size =\"22179840\"]\n  14 -> 29 [size =\"22179840\"]\n  14 -> 33 [size =\"22179840\"]\n  14 -> 36 [size =\"22179840\"]\n  14 -> 37 [size =\"22179840\"]\n  14 -> 38 [size =\"22179840\"]\n  14 -> 40 [size =\"22179840\"]\n  15 [size=\"80289792\", alpha=\"0.12\", expect_size=\"40144896\"] \n  15 -> 22 [size =\"40144896\"]\n  15 -> 27 [size =\"40144896\"]\n  15 -> 29 [size =\"40144896\"]\n  15 -> 31 [size =\"40144896\"]\n  15 -> 36 [size =\"40144896\"]\n  15 -> 39 [size =\"40144896\"]\n  16 [size=\"19822592\", alpha=\"0.14\", expect_size=\"9911296\"] \n  16 -> 21 [size =\"9911296\"]\n  16 -> 22 [size =\"9911296\"]\n  16 -> 31 [size =\"9911296\"]\n  16 -> 38 [size =\"9911296\"]\n  17 [size=\"30369792\", alpha=\"0.09\", expect_size=\"15184896\"] \n  17 -> 21 [size =\"15184896\"]\n  17 -> 29 [size =\"15184896\"]\n  17 -> 31 [size =\"15184896\"]\n  17 -> 38 [size =\"15184896\"]\n  17 -> 39 [size =\"15184896\"]\n  18 [size=\"18204672\", alpha=\"0.02\", expect_size=\"9102336\"] \n  18 -> 21 [size =\"9102336\"]\n  18 -> 22 [size =\"9102336\"]\n  18 -> 25 [size =\"9102336\"]\n  18 -> 28 [size =\"9102336\"]\n  18 -> 37 [size =\"9102336\"]\n  18 -> 38 [size =\"9102336\"]\n  19 [size=\"28203008\", alpha=\"0.12\", expect_size=\"14101504\"] \n  19 -> 24 [size =\"14101504\"]\n  19 -> 26 [size =\"14101504\"]\n  19 -> 29 [size =\"14101504\"]\n  19 -> 32 [size =\"14101504\"]\n  19 -> 39 [size =\"14101504\"]\n  20 [size=\"40251392\", alpha=\"0.10\", expect_size=\"20125696\"] \n  20 -> 22 [size =\"20125696\"]\n  20 -> 24 [size =\"20125696\"]\n  20 -> 29 [size =\"20125696\"]\n  20 -> 31 [size =\"20125696\"]\n  20 -> 34 [size =\"20125696\"]\n  20 -> 37 [size =\"20125696\"]\n  20 -> 39 [size =\"20125696\"]\n  20 -> 40 [size =\"20125696\"]\n  21 [size=\"64155648\", alpha=\"0.10\", expect_size=\"32077824\"] \n  22 [size=\"36960256\", alpha=\"0.09\", expect_size=\"18480128\"] \n  23 [size=\"82421760\", alpha=\"0.18\", expect_size=\"41210880\"] \n  24 [size=\"83480576\", alpha=\"0.19\", expect_size=\"41740288\"] \n  25 [size=\"68057088\", alpha=\"0.14\", expect_size=\"34028544\"] \n  26 [size=\"29362176\", alpha=\"0.02\", expect_size=\"14681088\"] \n  27 [size=\"97484800\", alpha=\"0.16\", expect_size=\"48742400\"] \n  28 [size=\"43886592\", alpha=\"0.07\", expect_size=\"21943296\"] \n  29 [size=\"53264384\", alpha=\"0.16\", expect_size=\"26632192\"] \n  30 [size=\"13705216\", alpha=\"0.01\", expect_size=\"6852608\"] \n  31 [size=\"60907520\", alpha=\"0.15\", expect_size=\"30453760\"] \n  32 [size=\"11874304\", alpha=\"0.03\", expect_size=\"5937152\"] \n  33 [size=\"54153216\", alpha=\"0.07\", expect_size=\"27076608\"] \n  34 [size=\"44388352\", alpha=\"0.18\", expect_size=\"22194176\"] \n  35 [size=\"38694912\", alpha=\"0.03\", expect_size=\"19347456\"] \n  36 [size=\"102426624\", alpha=\"0.11\", expect_size=\"51213312\"] \n  37 [size=\"19828736\", alpha=\"0.02\", expect_size=\"9914368\"] \n  38 [size=\"94050304\", alpha=\"0.16\", expect_size=\"47025152\"] \n  39 [size=\"30576640\", alpha=\"0.13\", expect_size=\"15288320\"] \n  40 [size=\"10766336\", alpha=\"0.16\", expect_size=\"5383168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88563200\", alpha=\"0.10\", expect_size=\"35425280\"] \n  1 -> 17 [size =\"35425280\"]\n  1 -> 18 [size =\"35425280\"]\n  1 -> 19 [size =\"35425280\"]\n  2 [size=\"87669760\", alpha=\"0.04\", expect_size=\"35067904\"] \n  2 -> 18 [size =\"35067904\"]\n  3 [size=\"88038400\", alpha=\"0.13\", expect_size=\"35215360\"] \n  3 -> 13 [size =\"35215360\"]\n  3 -> 21 [size =\"35215360\"]\n  3 -> 22 [size =\"35215360\"]\n  4 [size=\"130513920\", alpha=\"0.04\", expect_size=\"52205568\"] \n  4 -> 13 [size =\"52205568\"]\n  4 -> 18 [size =\"52205568\"]\n  4 -> 20 [size =\"52205568\"]\n  5 [size=\"99932160\", alpha=\"0.01\", expect_size=\"39972864\"] \n  5 -> 13 [size =\"39972864\"]\n  5 -> 17 [size =\"39972864\"]\n  5 -> 20 [size =\"39972864\"]\n  6 [size=\"125422080\", alpha=\"0.17\", expect_size=\"50168832\"] \n  6 -> 20 [size =\"50168832\"]\n  6 -> 23 [size =\"50168832\"]\n  7 [size=\"48163840\", alpha=\"0.03\", expect_size=\"19265536\"] \n  7 -> 16 [size =\"19265536\"]\n  7 -> 17 [size =\"19265536\"]\n  7 -> 20 [size =\"19265536\"]\n  7 -> 23 [size =\"19265536\"]\n  8 [size=\"82657280\", alpha=\"0.08\", expect_size=\"33062912\"] \n  8 -> 12 [size =\"33062912\"]\n  8 -> 14 [size =\"33062912\"]\n  8 -> 15 [size =\"33062912\"]\n  8 -> 17 [size =\"33062912\"]\n  8 -> 23 [size =\"33062912\"]\n  9 [size=\"112581120\", alpha=\"0.14\", expect_size=\"45032448\"] \n  9 -> 23 [size =\"45032448\"]\n  10 [size=\"35776000\", alpha=\"0.07\", expect_size=\"14310400\"] \n  10 -> 13 [size =\"14310400\"]\n  10 -> 18 [size =\"14310400\"]\n  10 -> 23 [size =\"14310400\"]\n  11 [size=\"48343040\", alpha=\"0.16\", expect_size=\"19337216\"] \n  11 -> 13 [size =\"19337216\"]\n  11 -> 23 [size =\"19337216\"]\n  12 [size=\"107471360\", alpha=\"0.18\", expect_size=\"42988544\"] \n  12 -> 34 [size =\"42988544\"]\n  12 -> 37 [size =\"42988544\"]\n  13 [size=\"14264320\", alpha=\"0.06\", expect_size=\"5705728\"] \n  13 -> 28 [size =\"5705728\"]\n  14 [size=\"89881600\", alpha=\"0.00\", expect_size=\"35952640\"] \n  14 -> 25 [size =\"35952640\"]\n  14 -> 27 [size =\"35952640\"]\n  14 -> 28 [size =\"35952640\"]\n  14 -> 32 [size =\"35952640\"]\n  14 -> 33 [size =\"35952640\"]\n  14 -> 34 [size =\"35952640\"]\n  15 [size=\"112071680\", alpha=\"0.15\", expect_size=\"44828672\"] \n  15 -> 25 [size =\"44828672\"]\n  15 -> 31 [size =\"44828672\"]\n  15 -> 34 [size =\"44828672\"]\n  16 [size=\"116380160\", alpha=\"0.13\", expect_size=\"46552064\"] \n  16 -> 24 [size =\"46552064\"]\n  16 -> 29 [size =\"46552064\"]\n  16 -> 30 [size =\"46552064\"]\n  17 [size=\"97520640\", alpha=\"0.15\", expect_size=\"39008256\"] \n  17 -> 24 [size =\"39008256\"]\n  17 -> 28 [size =\"39008256\"]\n  17 -> 29 [size =\"39008256\"]\n  17 -> 31 [size =\"39008256\"]\n  17 -> 33 [size =\"39008256\"]\n  17 -> 36 [size =\"39008256\"]\n  17 -> 37 [size =\"39008256\"]\n  18 [size=\"115409920\", alpha=\"0.03\", expect_size=\"46163968\"] \n  18 -> 25 [size =\"46163968\"]\n  18 -> 27 [size =\"46163968\"]\n  18 -> 31 [size =\"46163968\"]\n  18 -> 33 [size =\"46163968\"]\n  18 -> 36 [size =\"46163968\"]\n  18 -> 37 [size =\"46163968\"]\n  19 [size=\"44851200\", alpha=\"0.01\", expect_size=\"17940480\"] \n  19 -> 28 [size =\"17940480\"]\n  19 -> 31 [size =\"17940480\"]\n  19 -> 32 [size =\"17940480\"]\n  19 -> 37 [size =\"17940480\"]\n  20 [size=\"125734400\", alpha=\"0.10\", expect_size=\"50293760\"] \n  20 -> 25 [size =\"50293760\"]\n  20 -> 28 [size =\"50293760\"]\n  20 -> 33 [size =\"50293760\"]\n  20 -> 35 [size =\"50293760\"]\n  21 [size=\"49937920\", alpha=\"0.12\", expect_size=\"19975168\"] \n  21 -> 30 [size =\"19975168\"]\n  21 -> 34 [size =\"19975168\"]\n  21 -> 37 [size =\"19975168\"]\n  22 [size=\"25507840\", alpha=\"0.06\", expect_size=\"10203136\"] \n  22 -> 24 [size =\"10203136\"]\n  22 -> 26 [size =\"10203136\"]\n  22 -> 27 [size =\"10203136\"]\n  23 [size=\"130764800\", alpha=\"0.13\", expect_size=\"52305920\"] \n  23 -> 25 [size =\"52305920\"]\n  23 -> 26 [size =\"52305920\"]\n  23 -> 32 [size =\"52305920\"]\n  23 -> 36 [size =\"52305920\"]\n  24 [size=\"50483200\", alpha=\"0.19\", expect_size=\"20193280\"] \n  24 -> 39 [size =\"20193280\"]\n  25 [size=\"51120640\", alpha=\"0.01\", expect_size=\"20448256\"] \n  25 -> 39 [size =\"20448256\"]\n  26 [size=\"22773760\", alpha=\"0.01\", expect_size=\"9109504\"] \n  27 [size=\"97190400\", alpha=\"0.08\", expect_size=\"38876160\"] \n  27 -> 39 [size =\"38876160\"]\n  28 [size=\"69946880\", alpha=\"0.06\", expect_size=\"27978752\"] \n  28 -> 38 [size =\"27978752\"]\n  29 [size=\"85309440\", alpha=\"0.01\", expect_size=\"34123776\"] \n  29 -> 40 [size =\"34123776\"]\n  30 [size=\"94056960\", alpha=\"0.20\", expect_size=\"37622784\"] \n  30 -> 38 [size =\"37622784\"]\n  30 -> 40 [size =\"37622784\"]\n  31 [size=\"35975680\", alpha=\"0.05\", expect_size=\"14390272\"] \n  31 -> 38 [size =\"14390272\"]\n  31 -> 40 [size =\"14390272\"]\n  32 [size=\"104491520\", alpha=\"0.06\", expect_size=\"41796608\"] \n  32 -> 38 [size =\"41796608\"]\n  32 -> 40 [size =\"41796608\"]\n  33 [size=\"20272640\", alpha=\"0.07\", expect_size=\"8109056\"] \n  33 -> 38 [size =\"8109056\"]\n  34 [size=\"94182400\", alpha=\"0.01\", expect_size=\"37672960\"] \n  34 -> 38 [size =\"37672960\"]\n  34 -> 40 [size =\"37672960\"]\n  35 [size=\"89733120\", alpha=\"0.12\", expect_size=\"35893248\"] \n  35 -> 38 [size =\"35893248\"]\n  36 [size=\"93754880\", alpha=\"0.00\", expect_size=\"37501952\"] \n  37 [size=\"100595200\", alpha=\"0.03\", expect_size=\"40238080\"] \n  38 [size=\"27351040\", alpha=\"0.03\", expect_size=\"10940416\"] \n  39 [size=\"61537280\", alpha=\"0.08\", expect_size=\"24614912\"] \n  40 [size=\"66700800\", alpha=\"0.13\", expect_size=\"26680320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33122987\", alpha=\"0.18\", expect_size=\"9936896\"] \n  1 -> 3 [size =\"9936896\"]\n  1 -> 4 [size =\"9936896\"]\n  1 -> 5 [size =\"9936896\"]\n  2 [size=\"60825600\", alpha=\"0.19\", expect_size=\"18247680\"] \n  2 -> 3 [size =\"18247680\"]\n  2 -> 4 [size =\"18247680\"]\n  2 -> 5 [size =\"18247680\"]\n  3 [size=\"49257813\", alpha=\"0.12\", expect_size=\"14777344\"] \n  4 [size=\"103454720\", alpha=\"0.06\", expect_size=\"31036416\"] \n  4 -> 6 [size =\"31036416\"]\n  5 [size=\"100160853\", alpha=\"0.08\", expect_size=\"30048256\"] \n  5 -> 7 [size =\"30048256\"]\n  5 -> 8 [size =\"30048256\"]\n  6 [size=\"110260907\", alpha=\"0.04\", expect_size=\"33078272\"] \n  6 -> 9 [size =\"33078272\"]\n  6 -> 11 [size =\"33078272\"]\n  7 [size=\"70147413\", alpha=\"0.11\", expect_size=\"21044224\"] \n  7 -> 9 [size =\"21044224\"]\n  7 -> 10 [size =\"21044224\"]\n  7 -> 11 [size =\"21044224\"]\n  8 [size=\"26275840\", alpha=\"0.05\", expect_size=\"7882752\"] \n  8 -> 9 [size =\"7882752\"]\n  8 -> 10 [size =\"7882752\"]\n  8 -> 11 [size =\"7882752\"]\n  9 [size=\"164143787\", alpha=\"0.01\", expect_size=\"49243136\"] \n  9 -> 12 [size =\"49243136\"]\n  9 -> 13 [size =\"49243136\"]\n  10 [size=\"76130987\", alpha=\"0.04\", expect_size=\"22839296\"] \n  10 -> 13 [size =\"22839296\"]\n  11 [size=\"171072853\", alpha=\"0.20\", expect_size=\"51321856\"] \n  11 -> 12 [size =\"51321856\"]\n  11 -> 13 [size =\"51321856\"]\n  12 [size=\"158286507\", alpha=\"0.10\", expect_size=\"47485952\"] \n  12 -> 14 [size =\"47485952\"]\n  12 -> 15 [size =\"47485952\"]\n  13 [size=\"149445973\", alpha=\"0.08\", expect_size=\"44833792\"] \n  13 -> 14 [size =\"44833792\"]\n  13 -> 15 [size =\"44833792\"]\n  14 [size=\"87391573\", alpha=\"0.03\", expect_size=\"26217472\"] \n  14 -> 16 [size =\"26217472\"]\n  14 -> 17 [size =\"26217472\"]\n  14 -> 18 [size =\"26217472\"]\n  15 [size=\"132522667\", alpha=\"0.15\", expect_size=\"39756800\"] \n  15 -> 16 [size =\"39756800\"]\n  15 -> 18 [size =\"39756800\"]\n  16 [size=\"39918933\", alpha=\"0.03\", expect_size=\"11975680\"] \n  16 -> 20 [size =\"11975680\"]\n  17 [size=\"69464747\", alpha=\"0.11\", expect_size=\"20839424\"] \n  17 -> 19 [size =\"20839424\"]\n  17 -> 20 [size =\"20839424\"]\n  18 [size=\"158259200\", alpha=\"0.03\", expect_size=\"47477760\"] \n  18 -> 20 [size =\"47477760\"]\n  19 [size=\"44182187\", alpha=\"0.09\", expect_size=\"13254656\"] \n  19 -> 22 [size =\"13254656\"]\n  19 -> 23 [size =\"13254656\"]\n  20 [size=\"48237227\", alpha=\"0.16\", expect_size=\"14471168\"] \n  20 -> 21 [size =\"14471168\"]\n  20 -> 22 [size =\"14471168\"]\n  20 -> 23 [size =\"14471168\"]\n  21 [size=\"78967467\", alpha=\"0.06\", expect_size=\"23690240\"] \n  21 -> 25 [size =\"23690240\"]\n  21 -> 26 [size =\"23690240\"]\n  22 [size=\"75673600\", alpha=\"0.01\", expect_size=\"22702080\"] \n  22 -> 25 [size =\"22702080\"]\n  22 -> 26 [size =\"22702080\"]\n  23 [size=\"153736533\", alpha=\"0.20\", expect_size=\"46120960\"] \n  23 -> 24 [size =\"46120960\"]\n  23 -> 25 [size =\"46120960\"]\n  23 -> 26 [size =\"46120960\"]\n  24 [size=\"56016213\", alpha=\"0.10\", expect_size=\"16804864\"] \n  24 -> 27 [size =\"16804864\"]\n  24 -> 28 [size =\"16804864\"]\n  24 -> 29 [size =\"16804864\"]\n  25 [size=\"81510400\", alpha=\"0.10\", expect_size=\"24453120\"] \n  25 -> 28 [size =\"24453120\"]\n  25 -> 29 [size =\"24453120\"]\n  26 [size=\"40154453\", alpha=\"0.03\", expect_size=\"12046336\"] \n  26 -> 27 [size =\"12046336\"]\n  26 -> 29 [size =\"12046336\"]\n  27 [size=\"60381867\", alpha=\"0.02\", expect_size=\"18114560\"] \n  27 -> 31 [size =\"18114560\"]\n  27 -> 32 [size =\"18114560\"]\n  28 [size=\"143530667\", alpha=\"0.02\", expect_size=\"43059200\"] \n  28 -> 30 [size =\"43059200\"]\n  28 -> 31 [size =\"43059200\"]\n  28 -> 32 [size =\"43059200\"]\n  29 [size=\"167379627\", alpha=\"0.01\", expect_size=\"50213888\"] \n  29 -> 31 [size =\"50213888\"]\n  29 -> 32 [size =\"50213888\"]\n  30 [size=\"77636267\", alpha=\"0.07\", expect_size=\"23290880\"] \n  30 -> 33 [size =\"23290880\"]\n  30 -> 34 [size =\"23290880\"]\n  31 [size=\"47216640\", alpha=\"0.13\", expect_size=\"14164992\"] \n  31 -> 33 [size =\"14164992\"]\n  31 -> 34 [size =\"14164992\"]\n  32 [size=\"91760640\", alpha=\"0.16\", expect_size=\"27528192\"] \n  32 -> 34 [size =\"27528192\"]\n  33 [size=\"97341440\", alpha=\"0.17\", expect_size=\"29202432\"] \n  33 -> 36 [size =\"29202432\"]\n  34 [size=\"95733760\", alpha=\"0.06\", expect_size=\"28720128\"] \n  34 -> 35 [size =\"28720128\"]\n  34 -> 36 [size =\"28720128\"]\n  35 [size=\"172922880\", alpha=\"0.10\", expect_size=\"51876864\"] \n  35 -> 37 [size =\"51876864\"]\n  35 -> 38 [size =\"51876864\"]\n  36 [size=\"97020587\", alpha=\"0.17\", expect_size=\"29106176\"] \n  37 [size=\"118101333\", alpha=\"0.11\", expect_size=\"35430400\"] \n  37 -> 39 [size =\"35430400\"]\n  37 -> 40 [size =\"35430400\"]\n  38 [size=\"131546453\", alpha=\"0.02\", expect_size=\"39463936\"] \n  38 -> 39 [size =\"39463936\"]\n  38 -> 40 [size =\"39463936\"]\n  39 [size=\"146165760\", alpha=\"0.17\", expect_size=\"43849728\"] \n  40 [size=\"151333547\", alpha=\"0.15\", expect_size=\"45400064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24255147\", alpha=\"0.07\", expect_size=\"7276544\"] \n  1 -> 3 [size =\"7276544\"]\n  1 -> 4 [size =\"7276544\"]\n  2 [size=\"73072640\", alpha=\"0.19\", expect_size=\"21921792\"] \n  3 [size=\"127873707\", alpha=\"0.16\", expect_size=\"38362112\"] \n  4 [size=\"58429440\", alpha=\"0.06\", expect_size=\"17528832\"] \n  4 -> 5 [size =\"17528832\"]\n  4 -> 6 [size =\"17528832\"]\n  5 [size=\"84910080\", alpha=\"0.14\", expect_size=\"25473024\"] \n  5 -> 8 [size =\"25473024\"]\n  5 -> 9 [size =\"25473024\"]\n  6 [size=\"139414187\", alpha=\"0.08\", expect_size=\"41824256\"] \n  6 -> 7 [size =\"41824256\"]\n  6 -> 8 [size =\"41824256\"]\n  6 -> 9 [size =\"41824256\"]\n  7 [size=\"84206933\", alpha=\"0.14\", expect_size=\"25262080\"] \n  7 -> 10 [size =\"25262080\"]\n  7 -> 12 [size =\"25262080\"]\n  8 [size=\"80114347\", alpha=\"0.12\", expect_size=\"24034304\"] \n  8 -> 11 [size =\"24034304\"]\n  8 -> 12 [size =\"24034304\"]\n  9 [size=\"31102293\", alpha=\"0.13\", expect_size=\"9330688\"] \n  10 [size=\"56651093\", alpha=\"0.16\", expect_size=\"16995328\"] \n  10 -> 14 [size =\"16995328\"]\n  11 [size=\"37157547\", alpha=\"0.10\", expect_size=\"11147264\"] \n  11 -> 13 [size =\"11147264\"]\n  12 [size=\"95880533\", alpha=\"0.06\", expect_size=\"28764160\"] \n  13 [size=\"87947947\", alpha=\"0.10\", expect_size=\"26384384\"] \n  14 [size=\"53207040\", alpha=\"0.08\", expect_size=\"15962112\"] \n  14 -> 15 [size =\"15962112\"]\n  14 -> 16 [size =\"15962112\"]\n  15 [size=\"101635413\", alpha=\"0.19\", expect_size=\"30490624\"] \n  15 -> 17 [size =\"30490624\"]\n  15 -> 19 [size =\"30490624\"]\n  16 [size=\"57565867\", alpha=\"0.19\", expect_size=\"17269760\"] \n  16 -> 17 [size =\"17269760\"]\n  16 -> 18 [size =\"17269760\"]\n  17 [size=\"116906667\", alpha=\"0.02\", expect_size=\"35072000\"] \n  17 -> 20 [size =\"35072000\"]\n  18 [size=\"69847040\", alpha=\"0.05\", expect_size=\"20954112\"] \n  18 -> 20 [size =\"20954112\"]\n  18 -> 21 [size =\"20954112\"]\n  19 [size=\"166778880\", alpha=\"0.15\", expect_size=\"50033664\"] \n  20 [size=\"110370133\", alpha=\"0.18\", expect_size=\"33111040\"] \n  20 -> 22 [size =\"33111040\"]\n  20 -> 23 [size =\"33111040\"]\n  21 [size=\"78496427\", alpha=\"0.01\", expect_size=\"23548928\"] \n  21 -> 22 [size =\"23548928\"]\n  21 -> 23 [size =\"23548928\"]\n  21 -> 24 [size =\"23548928\"]\n  22 [size=\"156395520\", alpha=\"0.12\", expect_size=\"46918656\"] \n  22 -> 25 [size =\"46918656\"]\n  22 -> 27 [size =\"46918656\"]\n  23 [size=\"46404267\", alpha=\"0.16\", expect_size=\"13921280\"] \n  24 [size=\"121388373\", alpha=\"0.06\", expect_size=\"36416512\"] \n  24 -> 26 [size =\"36416512\"]\n  24 -> 27 [size =\"36416512\"]\n  25 [size=\"28938240\", alpha=\"0.04\", expect_size=\"8681472\"] \n  26 [size=\"24883200\", alpha=\"0.18\", expect_size=\"7464960\"] \n  26 -> 29 [size =\"7464960\"]\n  27 [size=\"19534507\", alpha=\"0.00\", expect_size=\"5860352\"] \n  27 -> 28 [size =\"5860352\"]\n  27 -> 29 [size =\"5860352\"]\n  28 [size=\"36635307\", alpha=\"0.10\", expect_size=\"10990592\"] \n  28 -> 31 [size =\"10990592\"]\n  29 [size=\"79308800\", alpha=\"0.02\", expect_size=\"23792640\"] \n  29 -> 30 [size =\"23792640\"]\n  30 [size=\"42929493\", alpha=\"0.19\", expect_size=\"12878848\"] \n  30 -> 32 [size =\"12878848\"]\n  31 [size=\"26361173\", alpha=\"0.19\", expect_size=\"7908352\"] \n  31 -> 33 [size =\"7908352\"]\n  32 [size=\"36392960\", alpha=\"0.08\", expect_size=\"10917888\"] \n  32 -> 34 [size =\"10917888\"]\n  33 [size=\"128617813\", alpha=\"0.07\", expect_size=\"38585344\"] \n  33 -> 34 [size =\"38585344\"]\n  33 -> 35 [size =\"38585344\"]\n  33 -> 36 [size =\"38585344\"]\n  34 [size=\"98867200\", alpha=\"0.10\", expect_size=\"29660160\"] \n  34 -> 37 [size =\"29660160\"]\n  35 [size=\"145377280\", alpha=\"0.03\", expect_size=\"43613184\"] \n  35 -> 38 [size =\"43613184\"]\n  36 [size=\"21015893\", alpha=\"0.02\", expect_size=\"6304768\"] \n  36 -> 37 [size =\"6304768\"]\n  36 -> 38 [size =\"6304768\"]\n  37 [size=\"162286933\", alpha=\"0.13\", expect_size=\"48686080\"] \n  37 -> 39 [size =\"48686080\"]\n  38 [size=\"164068693\", alpha=\"0.11\", expect_size=\"49220608\"] \n  38 -> 39 [size =\"49220608\"]\n  38 -> 40 [size =\"49220608\"]\n  39 [size=\"89006080\", alpha=\"0.08\", expect_size=\"26701824\"] \n  40 [size=\"108004693\", alpha=\"0.17\", expect_size=\"32401408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156907520\", alpha=\"0.15\", expect_size=\"47072256\"] \n  1 -> 2 [size =\"47072256\"]\n  2 [size=\"38461440\", alpha=\"0.08\", expect_size=\"11538432\"] \n  2 -> 3 [size =\"11538432\"]\n  3 [size=\"121405440\", alpha=\"0.04\", expect_size=\"36421632\"] \n  3 -> 4 [size =\"36421632\"]\n  4 [size=\"91562667\", alpha=\"0.18\", expect_size=\"27468800\"] \n  4 -> 5 [size =\"27468800\"]\n  5 [size=\"22056960\", alpha=\"0.00\", expect_size=\"6617088\"] \n  5 -> 6 [size =\"6617088\"]\n  6 [size=\"33266347\", alpha=\"0.04\", expect_size=\"9979904\"] \n  6 -> 7 [size =\"9979904\"]\n  7 [size=\"62409387\", alpha=\"0.08\", expect_size=\"18722816\"] \n  7 -> 8 [size =\"18722816\"]\n  8 [size=\"86234453\", alpha=\"0.05\", expect_size=\"25870336\"] \n  8 -> 9 [size =\"25870336\"]\n  9 [size=\"170243413\", alpha=\"0.20\", expect_size=\"51073024\"] \n  9 -> 10 [size =\"51073024\"]\n  10 [size=\"68532907\", alpha=\"0.01\", expect_size=\"20559872\"] \n  10 -> 11 [size =\"20559872\"]\n  11 [size=\"17479680\", alpha=\"0.05\", expect_size=\"5243904\"] \n  11 -> 12 [size =\"5243904\"]\n  12 [size=\"135649280\", alpha=\"0.04\", expect_size=\"40694784\"] \n  12 -> 13 [size =\"40694784\"]\n  13 [size=\"42100053\", alpha=\"0.01\", expect_size=\"12630016\"] \n  13 -> 14 [size =\"12630016\"]\n  14 [size=\"76523520\", alpha=\"0.01\", expect_size=\"22957056\"] \n  14 -> 15 [size =\"22957056\"]\n  15 [size=\"58033493\", alpha=\"0.14\", expect_size=\"17410048\"] \n  15 -> 16 [size =\"17410048\"]\n  16 [size=\"59473920\", alpha=\"0.06\", expect_size=\"17842176\"] \n  16 -> 17 [size =\"17842176\"]\n  17 [size=\"93224960\", alpha=\"0.03\", expect_size=\"27967488\"] \n  17 -> 18 [size =\"27967488\"]\n  18 [size=\"159371947\", alpha=\"0.20\", expect_size=\"47811584\"] \n  18 -> 19 [size =\"47811584\"]\n  19 [size=\"44574720\", alpha=\"0.14\", expect_size=\"13372416\"] \n  19 -> 20 [size =\"13372416\"]\n  20 [size=\"44206080\", alpha=\"0.06\", expect_size=\"13261824\"] \n  20 -> 21 [size =\"13261824\"]\n  21 [size=\"50472960\", alpha=\"0.15\", expect_size=\"15141888\"] \n  21 -> 22 [size =\"15141888\"]\n  22 [size=\"91067733\", alpha=\"0.07\", expect_size=\"27320320\"] \n  22 -> 23 [size =\"27320320\"]\n  23 [size=\"119726080\", alpha=\"0.12\", expect_size=\"35917824\"] \n  23 -> 24 [size =\"35917824\"]\n  24 [size=\"131181227\", alpha=\"0.07\", expect_size=\"39354368\"] \n  24 -> 25 [size =\"39354368\"]\n  25 [size=\"141830827\", alpha=\"0.02\", expect_size=\"42549248\"] \n  25 -> 26 [size =\"42549248\"]\n  26 [size=\"90941440\", alpha=\"0.19\", expect_size=\"27282432\"] \n  26 -> 27 [size =\"27282432\"]\n  27 [size=\"137854293\", alpha=\"0.02\", expect_size=\"41356288\"] \n  27 -> 28 [size =\"41356288\"]\n  28 [size=\"159945387\", alpha=\"0.13\", expect_size=\"47983616\"] \n  28 -> 29 [size =\"47983616\"]\n  29 [size=\"157771093\", alpha=\"0.04\", expect_size=\"47331328\"] \n  29 -> 30 [size =\"47331328\"]\n  30 [size=\"114206720\", alpha=\"0.02\", expect_size=\"34262016\"] \n  30 -> 31 [size =\"34262016\"]\n  31 [size=\"160945493\", alpha=\"0.19\", expect_size=\"48283648\"] \n  31 -> 32 [size =\"48283648\"]\n  32 [size=\"122842453\", alpha=\"0.12\", expect_size=\"36852736\"] \n  32 -> 33 [size =\"36852736\"]\n  33 [size=\"20879360\", alpha=\"0.07\", expect_size=\"6263808\"] \n  33 -> 34 [size =\"6263808\"]\n  34 [size=\"116282027\", alpha=\"0.10\", expect_size=\"34884608\"] \n  34 -> 35 [size =\"34884608\"]\n  35 [size=\"168564053\", alpha=\"0.19\", expect_size=\"50569216\"] \n  35 -> 36 [size =\"50569216\"]\n  36 [size=\"25016320\", alpha=\"0.12\", expect_size=\"7504896\"] \n  36 -> 37 [size =\"7504896\"]\n  37 [size=\"173294933\", alpha=\"0.16\", expect_size=\"51988480\"] \n  37 -> 38 [size =\"51988480\"]\n  38 [size=\"29187413\", alpha=\"0.17\", expect_size=\"8756224\"] \n  38 -> 39 [size =\"8756224\"]\n  39 [size=\"133311147\", alpha=\"0.02\", expect_size=\"39993344\"] \n  39 -> 40 [size =\"39993344\"]\n  40 [size=\"166580907\", alpha=\"0.10\", expect_size=\"49974272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70632960\", alpha=\"0.15\", expect_size=\"28253184\"] \n  1 -> 36 [size =\"28253184\"]\n  2 [size=\"43829760\", alpha=\"0.08\", expect_size=\"17531904\"] \n  2 -> 32 [size =\"17531904\"]\n  2 -> 34 [size =\"17531904\"]\n  2 -> 36 [size =\"17531904\"]\n  2 -> 39 [size =\"17531904\"]\n  3 [size=\"64135680\", alpha=\"0.14\", expect_size=\"25654272\"] \n  3 -> 33 [size =\"25654272\"]\n  3 -> 36 [size =\"25654272\"]\n  3 -> 40 [size =\"25654272\"]\n  4 [size=\"60175360\", alpha=\"0.16\", expect_size=\"24070144\"] \n  4 -> 31 [size =\"24070144\"]\n  5 [size=\"88171520\", alpha=\"0.17\", expect_size=\"35268608\"] \n  5 -> 31 [size =\"35268608\"]\n  5 -> 34 [size =\"35268608\"]\n  5 -> 36 [size =\"35268608\"]\n  5 -> 39 [size =\"35268608\"]\n  6 [size=\"53340160\", alpha=\"0.19\", expect_size=\"21336064\"] \n  6 -> 30 [size =\"21336064\"]\n  6 -> 36 [size =\"21336064\"]\n  6 -> 40 [size =\"21336064\"]\n  7 [size=\"108298240\", alpha=\"0.10\", expect_size=\"43319296\"] \n  7 -> 31 [size =\"43319296\"]\n  7 -> 35 [size =\"43319296\"]\n  8 [size=\"115399680\", alpha=\"0.09\", expect_size=\"46159872\"] \n  8 -> 37 [size =\"46159872\"]\n  9 [size=\"27578880\", alpha=\"0.18\", expect_size=\"11031552\"] \n  9 -> 35 [size =\"11031552\"]\n  9 -> 37 [size =\"11031552\"]\n  9 -> 38 [size =\"11031552\"]\n  9 -> 40 [size =\"11031552\"]\n  10 [size=\"111098880\", alpha=\"0.18\", expect_size=\"44439552\"] \n  10 -> 30 [size =\"44439552\"]\n  10 -> 31 [size =\"44439552\"]\n  10 -> 33 [size =\"44439552\"]\n  10 -> 36 [size =\"44439552\"]\n  10 -> 39 [size =\"44439552\"]\n  11 [size=\"48465920\", alpha=\"0.19\", expect_size=\"19386368\"] \n  11 -> 30 [size =\"19386368\"]\n  11 -> 34 [size =\"19386368\"]\n  11 -> 37 [size =\"19386368\"]\n  11 -> 40 [size =\"19386368\"]\n  12 [size=\"18383360\", alpha=\"0.12\", expect_size=\"7353344\"] \n  12 -> 30 [size =\"7353344\"]\n  12 -> 31 [size =\"7353344\"]\n  12 -> 32 [size =\"7353344\"]\n  12 -> 34 [size =\"7353344\"]\n  13 [size=\"65994240\", alpha=\"0.16\", expect_size=\"26397696\"] \n  13 -> 34 [size =\"26397696\"]\n  13 -> 37 [size =\"26397696\"]\n  13 -> 38 [size =\"26397696\"]\n  14 [size=\"29849600\", alpha=\"0.17\", expect_size=\"11939840\"] \n  14 -> 34 [size =\"11939840\"]\n  14 -> 36 [size =\"11939840\"]\n  15 [size=\"125137920\", alpha=\"0.16\", expect_size=\"50055168\"] \n  15 -> 34 [size =\"50055168\"]\n  15 -> 36 [size =\"50055168\"]\n  15 -> 37 [size =\"50055168\"]\n  16 [size=\"104832000\", alpha=\"0.00\", expect_size=\"41932800\"] \n  16 -> 36 [size =\"41932800\"]\n  16 -> 40 [size =\"41932800\"]\n  17 [size=\"96064000\", alpha=\"0.13\", expect_size=\"38425600\"] \n  17 -> 30 [size =\"38425600\"]\n  17 -> 33 [size =\"38425600\"]\n  17 -> 36 [size =\"38425600\"]\n  17 -> 39 [size =\"38425600\"]\n  18 [size=\"39088640\", alpha=\"0.14\", expect_size=\"15635456\"] \n  18 -> 30 [size =\"15635456\"]\n  18 -> 36 [size =\"15635456\"]\n  19 [size=\"94384640\", alpha=\"0.15\", expect_size=\"37753856\"] \n  19 -> 33 [size =\"37753856\"]\n  19 -> 35 [size =\"37753856\"]\n  19 -> 37 [size =\"37753856\"]\n  20 [size=\"82833920\", alpha=\"0.13\", expect_size=\"33133568\"] \n  20 -> 37 [size =\"33133568\"]\n  21 [size=\"71206400\", alpha=\"0.01\", expect_size=\"28482560\"] \n  21 -> 31 [size =\"28482560\"]\n  21 -> 34 [size =\"28482560\"]\n  21 -> 36 [size =\"28482560\"]\n  22 [size=\"62799360\", alpha=\"0.13\", expect_size=\"25119744\"] \n  22 -> 30 [size =\"25119744\"]\n  22 -> 34 [size =\"25119744\"]\n  22 -> 36 [size =\"25119744\"]\n  23 [size=\"15157760\", alpha=\"0.14\", expect_size=\"6063104\"] \n  23 -> 36 [size =\"6063104\"]\n  24 [size=\"111185920\", alpha=\"0.04\", expect_size=\"44474368\"] \n  24 -> 36 [size =\"44474368\"]\n  25 [size=\"94999040\", alpha=\"0.06\", expect_size=\"37999616\"] \n  25 -> 34 [size =\"37999616\"]\n  26 [size=\"72414720\", alpha=\"0.14\", expect_size=\"28965888\"] \n  26 -> 30 [size =\"28965888\"]\n  26 -> 31 [size =\"28965888\"]\n  26 -> 34 [size =\"28965888\"]\n  27 [size=\"72929280\", alpha=\"0.19\", expect_size=\"29171712\"] \n  27 -> 31 [size =\"29171712\"]\n  27 -> 36 [size =\"29171712\"]\n  27 -> 37 [size =\"29171712\"]\n  27 -> 40 [size =\"29171712\"]\n  28 [size=\"34004480\", alpha=\"0.02\", expect_size=\"13601792\"] \n  28 -> 33 [size =\"13601792\"]\n  28 -> 37 [size =\"13601792\"]\n  28 -> 40 [size =\"13601792\"]\n  29 [size=\"116523520\", alpha=\"0.06\", expect_size=\"46609408\"] \n  29 -> 34 [size =\"46609408\"]\n  29 -> 36 [size =\"46609408\"]\n  29 -> 37 [size =\"46609408\"]\n  29 -> 40 [size =\"46609408\"]\n  30 [size=\"89950720\", alpha=\"0.08\", expect_size=\"35980288\"] \n  31 [size=\"49489920\", alpha=\"0.15\", expect_size=\"19795968\"] \n  32 [size=\"52669440\", alpha=\"0.03\", expect_size=\"21067776\"] \n  33 [size=\"130211840\", alpha=\"0.00\", expect_size=\"52084736\"] \n  34 [size=\"97216000\", alpha=\"0.00\", expect_size=\"38886400\"] \n  35 [size=\"118720000\", alpha=\"0.19\", expect_size=\"47488000\"] \n  36 [size=\"33861120\", alpha=\"0.14\", expect_size=\"13544448\"] \n  37 [size=\"118796800\", alpha=\"0.03\", expect_size=\"47518720\"] \n  38 [size=\"114831360\", alpha=\"0.16\", expect_size=\"45932544\"] \n  39 [size=\"124254720\", alpha=\"0.03\", expect_size=\"49701888\"] \n  40 [size=\"43576320\", alpha=\"0.01\", expect_size=\"17430528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24122880\", alpha=\"0.02\", expect_size=\"9649152\"] \n  1 -> 21 [size =\"9649152\"]\n  1 -> 25 [size =\"9649152\"]\n  1 -> 27 [size =\"9649152\"]\n  1 -> 28 [size =\"9649152\"]\n  1 -> 31 [size =\"9649152\"]\n  1 -> 35 [size =\"9649152\"]\n  2 [size=\"36992000\", alpha=\"0.10\", expect_size=\"14796800\"] \n  2 -> 23 [size =\"14796800\"]\n  2 -> 26 [size =\"14796800\"]\n  2 -> 27 [size =\"14796800\"]\n  2 -> 29 [size =\"14796800\"]\n  2 -> 31 [size =\"14796800\"]\n  2 -> 32 [size =\"14796800\"]\n  2 -> 34 [size =\"14796800\"]\n  3 [size=\"77263360\", alpha=\"0.14\", expect_size=\"30905344\"] \n  3 -> 23 [size =\"30905344\"]\n  3 -> 29 [size =\"30905344\"]\n  3 -> 31 [size =\"30905344\"]\n  3 -> 33 [size =\"30905344\"]\n  3 -> 34 [size =\"30905344\"]\n  3 -> 35 [size =\"30905344\"]\n  3 -> 36 [size =\"30905344\"]\n  4 [size=\"39416320\", alpha=\"0.18\", expect_size=\"15766528\"] \n  4 -> 25 [size =\"15766528\"]\n  4 -> 26 [size =\"15766528\"]\n  4 -> 27 [size =\"15766528\"]\n  4 -> 34 [size =\"15766528\"]\n  4 -> 34 [size =\"15766528\"]\n  4 -> 35 [size =\"15766528\"]\n  4 -> 36 [size =\"15766528\"]\n  4 -> 37 [size =\"15766528\"]\n  4 -> 38 [size =\"15766528\"]\n  5 [size=\"27223040\", alpha=\"0.14\", expect_size=\"10889216\"] \n  5 -> 21 [size =\"10889216\"]\n  5 -> 23 [size =\"10889216\"]\n  5 -> 24 [size =\"10889216\"]\n  5 -> 25 [size =\"10889216\"]\n  5 -> 27 [size =\"10889216\"]\n  5 -> 28 [size =\"10889216\"]\n  5 -> 29 [size =\"10889216\"]\n  5 -> 32 [size =\"10889216\"]\n  5 -> 33 [size =\"10889216\"]\n  5 -> 34 [size =\"10889216\"]\n  5 -> 36 [size =\"10889216\"]\n  5 -> 39 [size =\"10889216\"]\n  6 [size=\"56711680\", alpha=\"0.05\", expect_size=\"22684672\"] \n  6 -> 21 [size =\"22684672\"]\n  6 -> 27 [size =\"22684672\"]\n  6 -> 29 [size =\"22684672\"]\n  6 -> 31 [size =\"22684672\"]\n  6 -> 32 [size =\"22684672\"]\n  6 -> 33 [size =\"22684672\"]\n  6 -> 34 [size =\"22684672\"]\n  6 -> 35 [size =\"22684672\"]\n  6 -> 36 [size =\"22684672\"]\n  6 -> 38 [size =\"22684672\"]\n  6 -> 39 [size =\"22684672\"]\n  6 -> 39 [size =\"22684672\"]\n  7 [size=\"125365760\", alpha=\"0.19\", expect_size=\"50146304\"] \n  7 -> 23 [size =\"50146304\"]\n  7 -> 26 [size =\"50146304\"]\n  7 -> 27 [size =\"50146304\"]\n  7 -> 33 [size =\"50146304\"]\n  7 -> 36 [size =\"50146304\"]\n  7 -> 38 [size =\"50146304\"]\n  7 -> 39 [size =\"50146304\"]\n  7 -> 40 [size =\"50146304\"]\n  8 [size=\"84981760\", alpha=\"0.09\", expect_size=\"33992704\"] \n  8 -> 22 [size =\"33992704\"]\n  8 -> 23 [size =\"33992704\"]\n  8 -> 26 [size =\"33992704\"]\n  8 -> 27 [size =\"33992704\"]\n  8 -> 33 [size =\"33992704\"]\n  8 -> 35 [size =\"33992704\"]\n  9 [size=\"18076160\", alpha=\"0.12\", expect_size=\"7230464\"] \n  9 -> 20 [size =\"7230464\"]\n  9 -> 21 [size =\"7230464\"]\n  9 -> 22 [size =\"7230464\"]\n  9 -> 23 [size =\"7230464\"]\n  9 -> 26 [size =\"7230464\"]\n  9 -> 31 [size =\"7230464\"]\n  9 -> 32 [size =\"7230464\"]\n  9 -> 33 [size =\"7230464\"]\n  9 -> 36 [size =\"7230464\"]\n  9 -> 39 [size =\"7230464\"]\n  10 [size=\"67176960\", alpha=\"0.16\", expect_size=\"26870784\"] \n  10 -> 22 [size =\"26870784\"]\n  10 -> 23 [size =\"26870784\"]\n  10 -> 24 [size =\"26870784\"]\n  10 -> 26 [size =\"26870784\"]\n  10 -> 32 [size =\"26870784\"]\n  10 -> 34 [size =\"26870784\"]\n  10 -> 39 [size =\"26870784\"]\n  11 [size=\"102021120\", alpha=\"0.10\", expect_size=\"40808448\"] \n  11 -> 21 [size =\"40808448\"]\n  11 -> 22 [size =\"40808448\"]\n  11 -> 23 [size =\"40808448\"]\n  11 -> 24 [size =\"40808448\"]\n  11 -> 25 [size =\"40808448\"]\n  11 -> 26 [size =\"40808448\"]\n  11 -> 28 [size =\"40808448\"]\n  11 -> 29 [size =\"40808448\"]\n  11 -> 30 [size =\"40808448\"]\n  11 -> 31 [size =\"40808448\"]\n  11 -> 32 [size =\"40808448\"]\n  11 -> 34 [size =\"40808448\"]\n  11 -> 35 [size =\"40808448\"]\n  12 [size=\"115402240\", alpha=\"0.07\", expect_size=\"46160896\"] \n  12 -> 22 [size =\"46160896\"]\n  12 -> 23 [size =\"46160896\"]\n  12 -> 23 [size =\"46160896\"]\n  12 -> 24 [size =\"46160896\"]\n  12 -> 26 [size =\"46160896\"]\n  12 -> 27 [size =\"46160896\"]\n  12 -> 29 [size =\"46160896\"]\n  12 -> 33 [size =\"46160896\"]\n  12 -> 34 [size =\"46160896\"]\n  12 -> 35 [size =\"46160896\"]\n  12 -> 36 [size =\"46160896\"]\n  12 -> 38 [size =\"46160896\"]\n  12 -> 39 [size =\"46160896\"]\n  13 [size=\"55746560\", alpha=\"0.05\", expect_size=\"22298624\"] \n  13 -> 22 [size =\"22298624\"]\n  13 -> 23 [size =\"22298624\"]\n  13 -> 24 [size =\"22298624\"]\n  13 -> 24 [size =\"22298624\"]\n  13 -> 26 [size =\"22298624\"]\n  13 -> 27 [size =\"22298624\"]\n  13 -> 34 [size =\"22298624\"]\n  13 -> 35 [size =\"22298624\"]\n  13 -> 39 [size =\"22298624\"]\n  13 -> 40 [size =\"22298624\"]\n  14 [size=\"21954560\", alpha=\"0.12\", expect_size=\"8781824\"] \n  14 -> 24 [size =\"8781824\"]\n  14 -> 25 [size =\"8781824\"]\n  14 -> 26 [size =\"8781824\"]\n  14 -> 27 [size =\"8781824\"]\n  14 -> 33 [size =\"8781824\"]\n  14 -> 34 [size =\"8781824\"]\n  14 -> 35 [size =\"8781824\"]\n  14 -> 36 [size =\"8781824\"]\n  14 -> 39 [size =\"8781824\"]\n  15 [size=\"129633280\", alpha=\"0.20\", expect_size=\"51853312\"] \n  15 -> 21 [size =\"51853312\"]\n  15 -> 25 [size =\"51853312\"]\n  15 -> 26 [size =\"51853312\"]\n  15 -> 27 [size =\"51853312\"]\n  15 -> 33 [size =\"51853312\"]\n  15 -> 35 [size =\"51853312\"]\n  15 -> 38 [size =\"51853312\"]\n  16 [size=\"93437440\", alpha=\"0.11\", expect_size=\"37374976\"] \n  16 -> 21 [size =\"37374976\"]\n  16 -> 23 [size =\"37374976\"]\n  16 -> 29 [size =\"37374976\"]\n  16 -> 32 [size =\"37374976\"]\n  16 -> 33 [size =\"37374976\"]\n  16 -> 39 [size =\"37374976\"]\n  17 [size=\"123194880\", alpha=\"0.17\", expect_size=\"49277952\"] \n  17 -> 21 [size =\"49277952\"]\n  17 -> 25 [size =\"49277952\"]\n  17 -> 26 [size =\"49277952\"]\n  17 -> 29 [size =\"49277952\"]\n  17 -> 32 [size =\"49277952\"]\n  17 -> 34 [size =\"49277952\"]\n  17 -> 36 [size =\"49277952\"]\n  17 -> 40 [size =\"49277952\"]\n  18 [size=\"114529280\", alpha=\"0.17\", expect_size=\"45811712\"] \n  18 -> 21 [size =\"45811712\"]\n  18 -> 25 [size =\"45811712\"]\n  18 -> 26 [size =\"45811712\"]\n  18 -> 29 [size =\"45811712\"]\n  18 -> 33 [size =\"45811712\"]\n  18 -> 38 [size =\"45811712\"]\n  18 -> 39 [size =\"45811712\"]\n  19 [size=\"47585280\", alpha=\"0.16\", expect_size=\"19034112\"] \n  19 -> 21 [size =\"19034112\"]\n  19 -> 27 [size =\"19034112\"]\n  19 -> 31 [size =\"19034112\"]\n  19 -> 32 [size =\"19034112\"]\n  19 -> 35 [size =\"19034112\"]\n  19 -> 39 [size =\"19034112\"]\n  20 [size=\"117629440\", alpha=\"0.09\", expect_size=\"47051776\"] \n  21 [size=\"95406080\", alpha=\"0.03\", expect_size=\"38162432\"] \n  22 [size=\"34204160\", alpha=\"0.01\", expect_size=\"13681664\"] \n  23 [size=\"78213120\", alpha=\"0.11\", expect_size=\"31285248\"] \n  24 [size=\"109255680\", alpha=\"0.04\", expect_size=\"43702272\"] \n  25 [size=\"64171520\", alpha=\"0.00\", expect_size=\"25668608\"] \n  26 [size=\"62592000\", alpha=\"0.04\", expect_size=\"25036800\"] \n  27 [size=\"130216960\", alpha=\"0.06\", expect_size=\"52086784\"] \n  28 [size=\"112793600\", alpha=\"0.01\", expect_size=\"45117440\"] \n  29 [size=\"94691840\", alpha=\"0.17\", expect_size=\"37876736\"] \n  30 [size=\"73328640\", alpha=\"0.01\", expect_size=\"29331456\"] \n  31 [size=\"125214720\", alpha=\"0.01\", expect_size=\"50085888\"] \n  32 [size=\"25441280\", alpha=\"0.18\", expect_size=\"10176512\"] \n  33 [size=\"33817600\", alpha=\"0.02\", expect_size=\"13527040\"] \n  34 [size=\"96540160\", alpha=\"0.08\", expect_size=\"38616064\"] \n  35 [size=\"121953280\", alpha=\"0.14\", expect_size=\"48781312\"] \n  36 [size=\"124175360\", alpha=\"0.13\", expect_size=\"49670144\"] \n  37 [size=\"28846080\", alpha=\"0.11\", expect_size=\"11538432\"] \n  38 [size=\"66191360\", alpha=\"0.06\", expect_size=\"26476544\"] \n  39 [size=\"72156160\", alpha=\"0.07\", expect_size=\"28862464\"] \n  40 [size=\"51709440\", alpha=\"0.06\", expect_size=\"20683776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91878400\", alpha=\"0.17\", expect_size=\"36751360\"] \n  1 -> 2 [size =\"36751360\"]\n  2 [size=\"109708800\", alpha=\"0.09\", expect_size=\"43883520\"] \n  2 -> 3 [size =\"43883520\"]\n  3 [size=\"83855360\", alpha=\"0.07\", expect_size=\"33542144\"] \n  3 -> 4 [size =\"33542144\"]\n  4 [size=\"20702720\", alpha=\"0.19\", expect_size=\"8281088\"] \n  4 -> 5 [size =\"8281088\"]\n  5 [size=\"124244480\", alpha=\"0.16\", expect_size=\"49697792\"] \n  5 -> 6 [size =\"49697792\"]\n  6 [size=\"117409280\", alpha=\"0.05\", expect_size=\"46963712\"] \n  6 -> 7 [size =\"46963712\"]\n  7 [size=\"40747520\", alpha=\"0.17\", expect_size=\"16299008\"] \n  7 -> 8 [size =\"16299008\"]\n  8 [size=\"80581120\", alpha=\"0.11\", expect_size=\"32232448\"] \n  8 -> 9 [size =\"32232448\"]\n  9 [size=\"84577280\", alpha=\"0.14\", expect_size=\"33830912\"] \n  9 -> 10 [size =\"33830912\"]\n  10 [size=\"105244160\", alpha=\"0.09\", expect_size=\"42097664\"] \n  10 -> 11 [size =\"42097664\"]\n  11 [size=\"25838080\", alpha=\"0.19\", expect_size=\"10335232\"] \n  11 -> 12 [size =\"10335232\"]\n  12 [size=\"128473600\", alpha=\"0.09\", expect_size=\"51389440\"] \n  12 -> 13 [size =\"51389440\"]\n  13 [size=\"65809920\", alpha=\"0.10\", expect_size=\"26323968\"] \n  13 -> 14 [size =\"26323968\"]\n  14 [size=\"108544000\", alpha=\"0.02\", expect_size=\"43417600\"] \n  14 -> 15 [size =\"43417600\"]\n  15 [size=\"103014400\", alpha=\"0.01\", expect_size=\"41205760\"] \n  15 -> 16 [size =\"41205760\"]\n  16 [size=\"79219200\", alpha=\"0.08\", expect_size=\"31687680\"] \n  16 -> 17 [size =\"31687680\"]\n  17 [size=\"109002240\", alpha=\"0.20\", expect_size=\"43600896\"] \n  17 -> 18 [size =\"43600896\"]\n  18 [size=\"88908800\", alpha=\"0.15\", expect_size=\"35563520\"] \n  18 -> 19 [size =\"35563520\"]\n  19 [size=\"33072640\", alpha=\"0.01\", expect_size=\"13229056\"] \n  19 -> 20 [size =\"13229056\"]\n  20 [size=\"116006400\", alpha=\"0.09\", expect_size=\"46402560\"] \n  20 -> 21 [size =\"46402560\"]\n  21 [size=\"52428800\", alpha=\"0.11\", expect_size=\"20971520\"] \n  21 -> 22 [size =\"20971520\"]\n  22 [size=\"46312960\", alpha=\"0.09\", expect_size=\"18525184\"] \n  22 -> 23 [size =\"18525184\"]\n  23 [size=\"99082240\", alpha=\"0.18\", expect_size=\"39632896\"] \n  23 -> 24 [size =\"39632896\"]\n  24 [size=\"39815680\", alpha=\"0.10\", expect_size=\"15926272\"] \n  24 -> 25 [size =\"15926272\"]\n  25 [size=\"53637120\", alpha=\"0.20\", expect_size=\"21454848\"] \n  25 -> 26 [size =\"21454848\"]\n  26 [size=\"60800000\", alpha=\"0.07\", expect_size=\"24320000\"] \n  26 -> 27 [size =\"24320000\"]\n  27 [size=\"106229760\", alpha=\"0.20\", expect_size=\"42491904\"] \n  27 -> 28 [size =\"42491904\"]\n  28 [size=\"103367680\", alpha=\"0.03\", expect_size=\"41347072\"] \n  28 -> 29 [size =\"41347072\"]\n  29 [size=\"75537920\", alpha=\"0.19\", expect_size=\"30215168\"] \n  29 -> 30 [size =\"30215168\"]\n  30 [size=\"82188800\", alpha=\"0.11\", expect_size=\"32875520\"] \n  30 -> 31 [size =\"32875520\"]\n  31 [size=\"18746880\", alpha=\"0.04\", expect_size=\"7498752\"] \n  31 -> 32 [size =\"7498752\"]\n  32 [size=\"81945600\", alpha=\"0.18\", expect_size=\"32778240\"] \n  32 -> 33 [size =\"32778240\"]\n  33 [size=\"14494720\", alpha=\"0.20\", expect_size=\"5797888\"] \n  33 -> 34 [size =\"5797888\"]\n  34 [size=\"123077120\", alpha=\"0.18\", expect_size=\"49230848\"] \n  34 -> 35 [size =\"49230848\"]\n  35 [size=\"61388800\", alpha=\"0.12\", expect_size=\"24555520\"] \n  35 -> 36 [size =\"24555520\"]\n  36 [size=\"58539520\", alpha=\"0.17\", expect_size=\"23415808\"] \n  36 -> 37 [size =\"23415808\"]\n  37 [size=\"100864000\", alpha=\"0.18\", expect_size=\"40345600\"] \n  37 -> 38 [size =\"40345600\"]\n  38 [size=\"98040320\", alpha=\"0.12\", expect_size=\"39216128\"] \n  38 -> 39 [size =\"39216128\"]\n  39 [size=\"117542400\", alpha=\"0.09\", expect_size=\"47016960\"] \n  39 -> 40 [size =\"47016960\"]\n  40 [size=\"112878080\", alpha=\"0.04\", expect_size=\"45151232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86411264\", alpha=\"0.07\", expect_size=\"43205632\"] \n  1 -> 32 [size =\"43205632\"]\n  1 -> 39 [size =\"43205632\"]\n  2 [size=\"18663424\", alpha=\"0.03\", expect_size=\"9331712\"] \n  2 -> 32 [size =\"9331712\"]\n  2 -> 34 [size =\"9331712\"]\n  2 -> 36 [size =\"9331712\"]\n  3 [size=\"35694592\", alpha=\"0.15\", expect_size=\"17847296\"] \n  3 -> 32 [size =\"17847296\"]\n  4 [size=\"45631488\", alpha=\"0.02\", expect_size=\"22815744\"] \n  4 -> 35 [size =\"22815744\"]\n  5 [size=\"66019328\", alpha=\"0.08\", expect_size=\"33009664\"] \n  5 -> 34 [size =\"33009664\"]\n  5 -> 35 [size =\"33009664\"]\n  5 -> 37 [size =\"33009664\"]\n  5 -> 38 [size =\"33009664\"]\n  5 -> 40 [size =\"33009664\"]\n  6 [size=\"98226176\", alpha=\"0.08\", expect_size=\"49113088\"] \n  6 -> 33 [size =\"49113088\"]\n  6 -> 34 [size =\"49113088\"]\n  6 -> 38 [size =\"49113088\"]\n  7 [size=\"80777216\", alpha=\"0.15\", expect_size=\"40388608\"] \n  7 -> 32 [size =\"40388608\"]\n  7 -> 35 [size =\"40388608\"]\n  7 -> 36 [size =\"40388608\"]\n  7 -> 37 [size =\"40388608\"]\n  7 -> 39 [size =\"40388608\"]\n  7 -> 40 [size =\"40388608\"]\n  8 [size=\"66951168\", alpha=\"0.17\", expect_size=\"33475584\"] \n  8 -> 32 [size =\"33475584\"]\n  8 -> 33 [size =\"33475584\"]\n  8 -> 35 [size =\"33475584\"]\n  8 -> 38 [size =\"33475584\"]\n  9 [size=\"46966784\", alpha=\"0.09\", expect_size=\"23483392\"] \n  9 -> 32 [size =\"23483392\"]\n  9 -> 35 [size =\"23483392\"]\n  9 -> 36 [size =\"23483392\"]\n  9 -> 38 [size =\"23483392\"]\n  9 -> 39 [size =\"23483392\"]\n  10 [size=\"31242240\", alpha=\"0.02\", expect_size=\"15621120\"] \n  10 -> 36 [size =\"15621120\"]\n  11 [size=\"26382336\", alpha=\"0.11\", expect_size=\"13191168\"] \n  11 -> 35 [size =\"13191168\"]\n  11 -> 39 [size =\"13191168\"]\n  12 [size=\"59439104\", alpha=\"0.18\", expect_size=\"29719552\"] \n  12 -> 32 [size =\"29719552\"]\n  12 -> 33 [size =\"29719552\"]\n  12 -> 38 [size =\"29719552\"]\n  13 [size=\"75952128\", alpha=\"0.02\", expect_size=\"37976064\"] \n  13 -> 33 [size =\"37976064\"]\n  13 -> 39 [size =\"37976064\"]\n  14 [size=\"52527104\", alpha=\"0.12\", expect_size=\"26263552\"] \n  14 -> 33 [size =\"26263552\"]\n  14 -> 35 [size =\"26263552\"]\n  14 -> 40 [size =\"26263552\"]\n  15 [size=\"63846400\", alpha=\"0.06\", expect_size=\"31923200\"] \n  15 -> 36 [size =\"31923200\"]\n  15 -> 39 [size =\"31923200\"]\n  15 -> 40 [size =\"31923200\"]\n  16 [size=\"103407616\", alpha=\"0.03\", expect_size=\"51703808\"] \n  16 -> 34 [size =\"51703808\"]\n  16 -> 40 [size =\"51703808\"]\n  17 [size=\"46661632\", alpha=\"0.13\", expect_size=\"23330816\"] \n  17 -> 32 [size =\"23330816\"]\n  17 -> 33 [size =\"23330816\"]\n  17 -> 40 [size =\"23330816\"]\n  18 [size=\"21762048\", alpha=\"0.11\", expect_size=\"10881024\"] \n  18 -> 35 [size =\"10881024\"]\n  18 -> 40 [size =\"10881024\"]\n  19 [size=\"101707776\", alpha=\"0.16\", expect_size=\"50853888\"] \n  19 -> 32 [size =\"50853888\"]\n  19 -> 33 [size =\"50853888\"]\n  19 -> 37 [size =\"50853888\"]\n  19 -> 38 [size =\"50853888\"]\n  19 -> 39 [size =\"50853888\"]\n  20 [size=\"50755584\", alpha=\"0.07\", expect_size=\"25377792\"] \n  20 -> 32 [size =\"25377792\"]\n  20 -> 39 [size =\"25377792\"]\n  20 -> 40 [size =\"25377792\"]\n  21 [size=\"61124608\", alpha=\"0.15\", expect_size=\"30562304\"] \n  21 -> 38 [size =\"30562304\"]\n  22 [size=\"19415040\", alpha=\"0.05\", expect_size=\"9707520\"] \n  22 -> 38 [size =\"9707520\"]\n  22 -> 39 [size =\"9707520\"]\n  23 [size=\"103577600\", alpha=\"0.20\", expect_size=\"51788800\"] \n  23 -> 32 [size =\"51788800\"]\n  23 -> 35 [size =\"51788800\"]\n  23 -> 37 [size =\"51788800\"]\n  23 -> 38 [size =\"51788800\"]\n  23 -> 40 [size =\"51788800\"]\n  24 [size=\"20348928\", alpha=\"0.02\", expect_size=\"10174464\"] \n  24 -> 37 [size =\"10174464\"]\n  24 -> 38 [size =\"10174464\"]\n  24 -> 40 [size =\"10174464\"]\n  25 [size=\"74633216\", alpha=\"0.16\", expect_size=\"37316608\"] \n  25 -> 39 [size =\"37316608\"]\n  25 -> 40 [size =\"37316608\"]\n  26 [size=\"101009408\", alpha=\"0.08\", expect_size=\"50504704\"] \n  26 -> 33 [size =\"50504704\"]\n  26 -> 40 [size =\"50504704\"]\n  27 [size=\"19464192\", alpha=\"0.16\", expect_size=\"9732096\"] \n  27 -> 32 [size =\"9732096\"]\n  27 -> 36 [size =\"9732096\"]\n  27 -> 37 [size =\"9732096\"]\n  27 -> 39 [size =\"9732096\"]\n  27 -> 40 [size =\"9732096\"]\n  28 [size=\"78809088\", alpha=\"0.15\", expect_size=\"39404544\"] \n  28 -> 36 [size =\"39404544\"]\n  28 -> 40 [size =\"39404544\"]\n  29 [size=\"35256320\", alpha=\"0.03\", expect_size=\"17628160\"] \n  29 -> 36 [size =\"17628160\"]\n  29 -> 39 [size =\"17628160\"]\n  29 -> 40 [size =\"17628160\"]\n  30 [size=\"15454208\", alpha=\"0.14\", expect_size=\"7727104\"] \n  30 -> 39 [size =\"7727104\"]\n  31 [size=\"50647040\", alpha=\"0.09\", expect_size=\"25323520\"] \n  31 -> 32 [size =\"25323520\"]\n  31 -> 36 [size =\"25323520\"]\n  31 -> 38 [size =\"25323520\"]\n  32 [size=\"28018688\", alpha=\"0.15\", expect_size=\"14009344\"] \n  33 [size=\"50120704\", alpha=\"0.14\", expect_size=\"25060352\"] \n  34 [size=\"47788032\", alpha=\"0.02\", expect_size=\"23894016\"] \n  35 [size=\"56168448\", alpha=\"0.02\", expect_size=\"28084224\"] \n  36 [size=\"36427776\", alpha=\"0.01\", expect_size=\"18213888\"] \n  37 [size=\"76304384\", alpha=\"0.08\", expect_size=\"38152192\"] \n  38 [size=\"57348096\", alpha=\"0.17\", expect_size=\"28674048\"] \n  39 [size=\"36026368\", alpha=\"0.05\", expect_size=\"18013184\"] \n  40 [size=\"48818176\", alpha=\"0.02\", expect_size=\"24409088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49059840\", alpha=\"0.04\", expect_size=\"24529920\"] \n  1 -> 33 [size =\"24529920\"]\n  1 -> 40 [size =\"24529920\"]\n  2 [size=\"13029376\", alpha=\"0.05\", expect_size=\"6514688\"] \n  2 -> 28 [size =\"6514688\"]\n  2 -> 38 [size =\"6514688\"]\n  2 -> 39 [size =\"6514688\"]\n  2 -> 40 [size =\"6514688\"]\n  3 [size=\"93200384\", alpha=\"0.05\", expect_size=\"46600192\"] \n  3 -> 27 [size =\"46600192\"]\n  3 -> 28 [size =\"46600192\"]\n  3 -> 33 [size =\"46600192\"]\n  4 [size=\"28815360\", alpha=\"0.04\", expect_size=\"14407680\"] \n  4 -> 27 [size =\"14407680\"]\n  4 -> 29 [size =\"14407680\"]\n  4 -> 30 [size =\"14407680\"]\n  4 -> 33 [size =\"14407680\"]\n  4 -> 39 [size =\"14407680\"]\n  5 [size=\"17027072\", alpha=\"0.16\", expect_size=\"8513536\"] \n  5 -> 27 [size =\"8513536\"]\n  5 -> 30 [size =\"8513536\"]\n  5 -> 37 [size =\"8513536\"]\n  5 -> 39 [size =\"8513536\"]\n  6 [size=\"53471232\", alpha=\"0.04\", expect_size=\"26735616\"] \n  6 -> 27 [size =\"26735616\"]\n  6 -> 30 [size =\"26735616\"]\n  6 -> 37 [size =\"26735616\"]\n  6 -> 40 [size =\"26735616\"]\n  7 [size=\"46940160\", alpha=\"0.03\", expect_size=\"23470080\"] \n  7 -> 32 [size =\"23470080\"]\n  7 -> 34 [size =\"23470080\"]\n  7 -> 35 [size =\"23470080\"]\n  8 [size=\"42266624\", alpha=\"0.16\", expect_size=\"21133312\"] \n  8 -> 27 [size =\"21133312\"]\n  8 -> 28 [size =\"21133312\"]\n  8 -> 37 [size =\"21133312\"]\n  9 [size=\"86142976\", alpha=\"0.03\", expect_size=\"43071488\"] \n  9 -> 27 [size =\"43071488\"]\n  9 -> 40 [size =\"43071488\"]\n  10 [size=\"42813440\", alpha=\"0.10\", expect_size=\"21406720\"] \n  10 -> 27 [size =\"21406720\"]\n  10 -> 30 [size =\"21406720\"]\n  10 -> 38 [size =\"21406720\"]\n  10 -> 40 [size =\"21406720\"]\n  11 [size=\"68665344\", alpha=\"0.12\", expect_size=\"34332672\"] \n  11 -> 34 [size =\"34332672\"]\n  11 -> 38 [size =\"34332672\"]\n  11 -> 39 [size =\"34332672\"]\n  11 -> 40 [size =\"34332672\"]\n  12 [size=\"89198592\", alpha=\"0.03\", expect_size=\"44599296\"] \n  12 -> 34 [size =\"44599296\"]\n  12 -> 35 [size =\"44599296\"]\n  12 -> 39 [size =\"44599296\"]\n  13 [size=\"19763200\", alpha=\"0.11\", expect_size=\"9881600\"] \n  13 -> 27 [size =\"9881600\"]\n  13 -> 28 [size =\"9881600\"]\n  13 -> 30 [size =\"9881600\"]\n  13 -> 33 [size =\"9881600\"]\n  14 [size=\"45234176\", alpha=\"0.06\", expect_size=\"22617088\"] \n  14 -> 27 [size =\"22617088\"]\n  14 -> 28 [size =\"22617088\"]\n  14 -> 29 [size =\"22617088\"]\n  14 -> 30 [size =\"22617088\"]\n  14 -> 34 [size =\"22617088\"]\n  15 [size=\"66244608\", alpha=\"0.09\", expect_size=\"33122304\"] \n  15 -> 27 [size =\"33122304\"]\n  15 -> 30 [size =\"33122304\"]\n  15 -> 31 [size =\"33122304\"]\n  15 -> 34 [size =\"33122304\"]\n  15 -> 40 [size =\"33122304\"]\n  16 [size=\"45633536\", alpha=\"0.03\", expect_size=\"22816768\"] \n  16 -> 27 [size =\"22816768\"]\n  16 -> 28 [size =\"22816768\"]\n  16 -> 30 [size =\"22816768\"]\n  16 -> 33 [size =\"22816768\"]\n  17 [size=\"66545664\", alpha=\"0.06\", expect_size=\"33272832\"] \n  17 -> 27 [size =\"33272832\"]\n  17 -> 28 [size =\"33272832\"]\n  17 -> 30 [size =\"33272832\"]\n  17 -> 33 [size =\"33272832\"]\n  18 [size=\"79855616\", alpha=\"0.03\", expect_size=\"39927808\"] \n  18 -> 27 [size =\"39927808\"]\n  18 -> 28 [size =\"39927808\"]\n  18 -> 38 [size =\"39927808\"]\n  18 -> 39 [size =\"39927808\"]\n  18 -> 40 [size =\"39927808\"]\n  19 [size=\"61456384\", alpha=\"0.06\", expect_size=\"30728192\"] \n  19 -> 28 [size =\"30728192\"]\n  19 -> 30 [size =\"30728192\"]\n  20 [size=\"75094016\", alpha=\"0.02\", expect_size=\"37547008\"] \n  20 -> 35 [size =\"37547008\"]\n  20 -> 40 [size =\"37547008\"]\n  21 [size=\"28948480\", alpha=\"0.06\", expect_size=\"14474240\"] \n  21 -> 30 [size =\"14474240\"]\n  21 -> 34 [size =\"14474240\"]\n  21 -> 35 [size =\"14474240\"]\n  21 -> 36 [size =\"14474240\"]\n  22 [size=\"85504000\", alpha=\"0.11\", expect_size=\"42752000\"] \n  22 -> 28 [size =\"42752000\"]\n  22 -> 30 [size =\"42752000\"]\n  22 -> 35 [size =\"42752000\"]\n  22 -> 40 [size =\"42752000\"]\n  23 [size=\"100132864\", alpha=\"0.14\", expect_size=\"50066432\"] \n  23 -> 27 [size =\"50066432\"]\n  23 -> 28 [size =\"50066432\"]\n  23 -> 30 [size =\"50066432\"]\n  24 [size=\"57698304\", alpha=\"0.00\", expect_size=\"28849152\"] \n  24 -> 28 [size =\"28849152\"]\n  24 -> 30 [size =\"28849152\"]\n  25 [size=\"86927360\", alpha=\"0.08\", expect_size=\"43463680\"] \n  25 -> 28 [size =\"43463680\"]\n  25 -> 33 [size =\"43463680\"]\n  25 -> 35 [size =\"43463680\"]\n  26 [size=\"33390592\", alpha=\"0.05\", expect_size=\"16695296\"] \n  26 -> 27 [size =\"16695296\"]\n  26 -> 28 [size =\"16695296\"]\n  26 -> 39 [size =\"16695296\"]\n  27 [size=\"49883136\", alpha=\"0.09\", expect_size=\"24941568\"] \n  28 [size=\"75839488\", alpha=\"0.01\", expect_size=\"37919744\"] \n  29 [size=\"89272320\", alpha=\"0.08\", expect_size=\"44636160\"] \n  30 [size=\"21592064\", alpha=\"0.02\", expect_size=\"10796032\"] \n  31 [size=\"30525440\", alpha=\"0.09\", expect_size=\"15262720\"] \n  32 [size=\"60278784\", alpha=\"0.12\", expect_size=\"30139392\"] \n  33 [size=\"19021824\", alpha=\"0.17\", expect_size=\"9510912\"] \n  34 [size=\"83841024\", alpha=\"0.10\", expect_size=\"41920512\"] \n  35 [size=\"84326400\", alpha=\"0.14\", expect_size=\"42163200\"] \n  36 [size=\"27021312\", alpha=\"0.06\", expect_size=\"13510656\"] \n  37 [size=\"49281024\", alpha=\"0.10\", expect_size=\"24640512\"] \n  38 [size=\"93192192\", alpha=\"0.08\", expect_size=\"46596096\"] \n  39 [size=\"96163840\", alpha=\"0.17\", expect_size=\"48081920\"] \n  40 [size=\"39483392\", alpha=\"0.00\", expect_size=\"19741696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119067307\", alpha=\"0.13\", expect_size=\"35720192\"] \n  1 -> 3 [size =\"35720192\"]\n  1 -> 4 [size =\"35720192\"]\n  2 [size=\"24838827\", alpha=\"0.04\", expect_size=\"7451648\"] \n  2 -> 3 [size =\"7451648\"]\n  3 [size=\"25152853\", alpha=\"0.07\", expect_size=\"7545856\"] \n  3 -> 5 [size =\"7545856\"]\n  3 -> 6 [size =\"7545856\"]\n  4 [size=\"138042027\", alpha=\"0.11\", expect_size=\"41412608\"] \n  4 -> 6 [size =\"41412608\"]\n  5 [size=\"148544853\", alpha=\"0.01\", expect_size=\"44563456\"] \n  5 -> 7 [size =\"44563456\"]\n  5 -> 8 [size =\"44563456\"]\n  6 [size=\"161802240\", alpha=\"0.01\", expect_size=\"48540672\"] \n  6 -> 7 [size =\"48540672\"]\n  6 -> 8 [size =\"48540672\"]\n  7 [size=\"40645973\", alpha=\"0.11\", expect_size=\"12193792\"] \n  7 -> 9 [size =\"12193792\"]\n  7 -> 10 [size =\"12193792\"]\n  7 -> 11 [size =\"12193792\"]\n  8 [size=\"163198293\", alpha=\"0.10\", expect_size=\"48959488\"] \n  8 -> 9 [size =\"48959488\"]\n  8 -> 10 [size =\"48959488\"]\n  8 -> 11 [size =\"48959488\"]\n  9 [size=\"173639680\", alpha=\"0.11\", expect_size=\"52091904\"] \n  9 -> 12 [size =\"52091904\"]\n  9 -> 13 [size =\"52091904\"]\n  10 [size=\"105048747\", alpha=\"0.02\", expect_size=\"31514624\"] \n  10 -> 12 [size =\"31514624\"]\n  10 -> 13 [size =\"31514624\"]\n  11 [size=\"112049493\", alpha=\"0.11\", expect_size=\"33614848\"] \n  11 -> 12 [size =\"33614848\"]\n  11 -> 13 [size =\"33614848\"]\n  12 [size=\"54029653\", alpha=\"0.12\", expect_size=\"16208896\"] \n  12 -> 15 [size =\"16208896\"]\n  12 -> 16 [size =\"16208896\"]\n  13 [size=\"87336960\", alpha=\"0.04\", expect_size=\"26201088\"] \n  13 -> 14 [size =\"26201088\"]\n  13 -> 15 [size =\"26201088\"]\n  13 -> 16 [size =\"26201088\"]\n  14 [size=\"139229867\", alpha=\"0.18\", expect_size=\"41768960\"] \n  14 -> 17 [size =\"41768960\"]\n  14 -> 18 [size =\"41768960\"]\n  14 -> 19 [size =\"41768960\"]\n  15 [size=\"66136747\", alpha=\"0.07\", expect_size=\"19841024\"] \n  15 -> 19 [size =\"19841024\"]\n  16 [size=\"73690453\", alpha=\"0.19\", expect_size=\"22107136\"] \n  16 -> 17 [size =\"22107136\"]\n  16 -> 19 [size =\"22107136\"]\n  17 [size=\"83493547\", alpha=\"0.02\", expect_size=\"25048064\"] \n  17 -> 20 [size =\"25048064\"]\n  17 -> 21 [size =\"25048064\"]\n  17 -> 22 [size =\"25048064\"]\n  18 [size=\"167031467\", alpha=\"0.02\", expect_size=\"50109440\"] \n  18 -> 20 [size =\"50109440\"]\n  18 -> 21 [size =\"50109440\"]\n  18 -> 22 [size =\"50109440\"]\n  19 [size=\"91337387\", alpha=\"0.18\", expect_size=\"27401216\"] \n  19 -> 20 [size =\"27401216\"]\n  19 -> 21 [size =\"27401216\"]\n  19 -> 22 [size =\"27401216\"]\n  20 [size=\"18496853\", alpha=\"0.11\", expect_size=\"5549056\"] \n  20 -> 23 [size =\"5549056\"]\n  20 -> 24 [size =\"5549056\"]\n  21 [size=\"32566613\", alpha=\"0.16\", expect_size=\"9769984\"] \n  21 -> 23 [size =\"9769984\"]\n  22 [size=\"122760533\", alpha=\"0.03\", expect_size=\"36828160\"] \n  22 -> 23 [size =\"36828160\"]\n  22 -> 24 [size =\"36828160\"]\n  23 [size=\"60525227\", alpha=\"0.10\", expect_size=\"18157568\"] \n  23 -> 25 [size =\"18157568\"]\n  23 -> 26 [size =\"18157568\"]\n  23 -> 27 [size =\"18157568\"]\n  24 [size=\"89326933\", alpha=\"0.13\", expect_size=\"26798080\"] \n  24 -> 25 [size =\"26798080\"]\n  24 -> 26 [size =\"26798080\"]\n  24 -> 27 [size =\"26798080\"]\n  25 [size=\"74243413\", alpha=\"0.12\", expect_size=\"22273024\"] \n  25 -> 29 [size =\"22273024\"]\n  26 [size=\"133072213\", alpha=\"0.10\", expect_size=\"39921664\"] \n  26 -> 29 [size =\"39921664\"]\n  27 [size=\"124276053\", alpha=\"0.10\", expect_size=\"37282816\"] \n  27 -> 28 [size =\"37282816\"]\n  28 [size=\"139987627\", alpha=\"0.10\", expect_size=\"41996288\"] \n  28 -> 30 [size =\"41996288\"]\n  28 -> 31 [size =\"41996288\"]\n  28 -> 32 [size =\"41996288\"]\n  29 [size=\"157330773\", alpha=\"0.09\", expect_size=\"47199232\"] \n  29 -> 30 [size =\"47199232\"]\n  29 -> 31 [size =\"47199232\"]\n  30 [size=\"143155200\", alpha=\"0.19\", expect_size=\"42946560\"] \n  30 -> 34 [size =\"42946560\"]\n  31 [size=\"70239573\", alpha=\"0.01\", expect_size=\"21071872\"] \n  31 -> 33 [size =\"21071872\"]\n  31 -> 34 [size =\"21071872\"]\n  31 -> 35 [size =\"21071872\"]\n  32 [size=\"40171520\", alpha=\"0.08\", expect_size=\"12051456\"] \n  32 -> 33 [size =\"12051456\"]\n  32 -> 35 [size =\"12051456\"]\n  32 -> 35 [size =\"12051456\"]\n  33 [size=\"60320427\", alpha=\"0.04\", expect_size=\"18096128\"] \n  33 -> 36 [size =\"18096128\"]\n  33 -> 38 [size =\"18096128\"]\n  34 [size=\"138362880\", alpha=\"0.15\", expect_size=\"41508864\"] \n  34 -> 36 [size =\"41508864\"]\n  34 -> 37 [size =\"41508864\"]\n  34 -> 38 [size =\"41508864\"]\n  35 [size=\"80288427\", alpha=\"0.12\", expect_size=\"24086528\"] \n  35 -> 38 [size =\"24086528\"]\n  36 [size=\"174458880\", alpha=\"0.17\", expect_size=\"52337664\"] \n  36 -> 39 [size =\"52337664\"]\n  37 [size=\"93337600\", alpha=\"0.10\", expect_size=\"28001280\"] \n  37 -> 39 [size =\"28001280\"]\n  37 -> 40 [size =\"28001280\"]\n  38 [size=\"174677333\", alpha=\"0.02\", expect_size=\"52403200\"] \n  38 -> 39 [size =\"52403200\"]\n  38 -> 40 [size =\"52403200\"]\n  39 [size=\"92330667\", alpha=\"0.03\", expect_size=\"27699200\"] \n  40 [size=\"159754240\", alpha=\"0.05\", expect_size=\"47926272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162140160\", alpha=\"0.15\", expect_size=\"48642048\"] \n  1 -> 2 [size =\"48642048\"]\n  2 [size=\"140912640\", alpha=\"0.16\", expect_size=\"42273792\"] \n  2 -> 3 [size =\"42273792\"]\n  3 [size=\"134956373\", alpha=\"0.16\", expect_size=\"40486912\"] \n  3 -> 4 [size =\"40486912\"]\n  4 [size=\"58815147\", alpha=\"0.20\", expect_size=\"17644544\"] \n  4 -> 5 [size =\"17644544\"]\n  5 [size=\"30276267\", alpha=\"0.16\", expect_size=\"9082880\"] \n  5 -> 6 [size =\"9082880\"]\n  6 [size=\"154139307\", alpha=\"0.19\", expect_size=\"46241792\"] \n  6 -> 7 [size =\"46241792\"]\n  7 [size=\"63668907\", alpha=\"0.11\", expect_size=\"19100672\"] \n  7 -> 8 [size =\"19100672\"]\n  8 [size=\"107516587\", alpha=\"0.02\", expect_size=\"32254976\"] \n  8 -> 9 [size =\"32254976\"]\n  9 [size=\"170216107\", alpha=\"0.01\", expect_size=\"51064832\"] \n  9 -> 10 [size =\"51064832\"]\n  10 [size=\"140264107\", alpha=\"0.20\", expect_size=\"42079232\"] \n  10 -> 11 [size =\"42079232\"]\n  11 [size=\"125924693\", alpha=\"0.14\", expect_size=\"37777408\"] \n  11 -> 12 [size =\"37777408\"]\n  12 [size=\"86865920\", alpha=\"0.18\", expect_size=\"26059776\"] \n  12 -> 13 [size =\"26059776\"]\n  13 [size=\"53623467\", alpha=\"0.11\", expect_size=\"16087040\"] \n  13 -> 14 [size =\"16087040\"]\n  14 [size=\"22596267\", alpha=\"0.12\", expect_size=\"6778880\"] \n  14 -> 15 [size =\"6778880\"]\n  15 [size=\"19496960\", alpha=\"0.02\", expect_size=\"5849088\"] \n  15 -> 16 [size =\"5849088\"]\n  16 [size=\"145899520\", alpha=\"0.16\", expect_size=\"43769856\"] \n  16 -> 17 [size =\"43769856\"]\n  17 [size=\"137557333\", alpha=\"0.01\", expect_size=\"41267200\"] \n  17 -> 18 [size =\"41267200\"]\n  18 [size=\"66430293\", alpha=\"0.12\", expect_size=\"19929088\"] \n  18 -> 19 [size =\"19929088\"]\n  19 [size=\"78274560\", alpha=\"0.17\", expect_size=\"23482368\"] \n  19 -> 20 [size =\"23482368\"]\n  20 [size=\"87248213\", alpha=\"0.16\", expect_size=\"26174464\"] \n  20 -> 21 [size =\"26174464\"]\n  21 [size=\"84671147\", alpha=\"0.12\", expect_size=\"25401344\"] \n  21 -> 22 [size =\"25401344\"]\n  22 [size=\"40410453\", alpha=\"0.05\", expect_size=\"12123136\"] \n  22 -> 23 [size =\"12123136\"]\n  23 [size=\"22169600\", alpha=\"0.13\", expect_size=\"6650880\"] \n  23 -> 24 [size =\"6650880\"]\n  24 [size=\"109987840\", alpha=\"0.05\", expect_size=\"32996352\"] \n  24 -> 25 [size =\"32996352\"]\n  25 [size=\"47472640\", alpha=\"0.20\", expect_size=\"14241792\"] \n  25 -> 26 [size =\"14241792\"]\n  26 [size=\"63242240\", alpha=\"0.12\", expect_size=\"18972672\"] \n  26 -> 27 [size =\"18972672\"]\n  27 [size=\"35188053\", alpha=\"0.09\", expect_size=\"10556416\"] \n  27 -> 28 [size =\"10556416\"]\n  28 [size=\"44509867\", alpha=\"0.18\", expect_size=\"13352960\"] \n  28 -> 29 [size =\"13352960\"]\n  29 [size=\"140980907\", alpha=\"0.07\", expect_size=\"42294272\"] \n  29 -> 30 [size =\"42294272\"]\n  30 [size=\"117818027\", alpha=\"0.11\", expect_size=\"35345408\"] \n  30 -> 31 [size =\"35345408\"]\n  31 [size=\"82824533\", alpha=\"0.09\", expect_size=\"24847360\"] \n  31 -> 32 [size =\"24847360\"]\n  32 [size=\"23381333\", alpha=\"0.16\", expect_size=\"7014400\"] \n  32 -> 33 [size =\"7014400\"]\n  33 [size=\"62924800\", alpha=\"0.07\", expect_size=\"18877440\"] \n  33 -> 34 [size =\"18877440\"]\n  34 [size=\"161648640\", alpha=\"0.19\", expect_size=\"48494592\"] \n  34 -> 35 [size =\"48494592\"]\n  35 [size=\"46318933\", alpha=\"0.11\", expect_size=\"13895680\"] \n  35 -> 36 [size =\"13895680\"]\n  36 [size=\"44318720\", alpha=\"0.20\", expect_size=\"13295616\"] \n  36 -> 37 [size =\"13295616\"]\n  37 [size=\"135014400\", alpha=\"0.04\", expect_size=\"40504320\"] \n  37 -> 38 [size =\"40504320\"]\n  38 [size=\"50036053\", alpha=\"0.14\", expect_size=\"15010816\"] \n  38 -> 39 [size =\"15010816\"]\n  39 [size=\"36706987\", alpha=\"0.12\", expect_size=\"11012096\"] \n  39 -> 40 [size =\"11012096\"]\n  40 [size=\"90480640\", alpha=\"0.18\", expect_size=\"27144192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87941120\", alpha=\"0.14\", expect_size=\"43970560\"] \n  1 -> 25 [size =\"43970560\"]\n  2 [size=\"60803072\", alpha=\"0.18\", expect_size=\"30401536\"] \n  2 -> 14 [size =\"30401536\"]\n  2 -> 15 [size =\"30401536\"]\n  2 -> 18 [size =\"30401536\"]\n  2 -> 21 [size =\"30401536\"]\n  2 -> 23 [size =\"30401536\"]\n  3 [size=\"88369152\", alpha=\"0.03\", expect_size=\"44184576\"] \n  3 -> 16 [size =\"44184576\"]\n  3 -> 19 [size =\"44184576\"]\n  3 -> 20 [size =\"44184576\"]\n  3 -> 25 [size =\"44184576\"]\n  4 [size=\"60653568\", alpha=\"0.18\", expect_size=\"30326784\"] \n  4 -> 16 [size =\"30326784\"]\n  4 -> 19 [size =\"30326784\"]\n  4 -> 20 [size =\"30326784\"]\n  4 -> 21 [size =\"30326784\"]\n  4 -> 22 [size =\"30326784\"]\n  5 [size=\"45332480\", alpha=\"0.18\", expect_size=\"22666240\"] \n  5 -> 15 [size =\"22666240\"]\n  5 -> 18 [size =\"22666240\"]\n  5 -> 20 [size =\"22666240\"]\n  5 -> 21 [size =\"22666240\"]\n  6 [size=\"75624448\", alpha=\"0.08\", expect_size=\"37812224\"] \n  6 -> 20 [size =\"37812224\"]\n  6 -> 22 [size =\"37812224\"]\n  6 -> 23 [size =\"37812224\"]\n  7 [size=\"91174912\", alpha=\"0.15\", expect_size=\"45587456\"] \n  7 -> 14 [size =\"45587456\"]\n  7 -> 15 [size =\"45587456\"]\n  7 -> 22 [size =\"45587456\"]\n  7 -> 23 [size =\"45587456\"]\n  7 -> 24 [size =\"45587456\"]\n  7 -> 25 [size =\"45587456\"]\n  8 [size=\"74401792\", alpha=\"0.06\", expect_size=\"37200896\"] \n  8 -> 22 [size =\"37200896\"]\n  8 -> 24 [size =\"37200896\"]\n  9 [size=\"28901376\", alpha=\"0.10\", expect_size=\"14450688\"] \n  9 -> 19 [size =\"14450688\"]\n  9 -> 20 [size =\"14450688\"]\n  9 -> 21 [size =\"14450688\"]\n  9 -> 22 [size =\"14450688\"]\n  10 [size=\"77541376\", alpha=\"0.04\", expect_size=\"38770688\"] \n  10 -> 14 [size =\"38770688\"]\n  10 -> 22 [size =\"38770688\"]\n  11 [size=\"78219264\", alpha=\"0.11\", expect_size=\"39109632\"] \n  11 -> 14 [size =\"39109632\"]\n  11 -> 18 [size =\"39109632\"]\n  11 -> 24 [size =\"39109632\"]\n  11 -> 25 [size =\"39109632\"]\n  12 [size=\"51761152\", alpha=\"0.16\", expect_size=\"25880576\"] \n  12 -> 17 [size =\"25880576\"]\n  12 -> 19 [size =\"25880576\"]\n  12 -> 21 [size =\"25880576\"]\n  12 -> 23 [size =\"25880576\"]\n  12 -> 25 [size =\"25880576\"]\n  13 [size=\"42389504\", alpha=\"0.09\", expect_size=\"21194752\"] \n  13 -> 15 [size =\"21194752\"]\n  13 -> 18 [size =\"21194752\"]\n  13 -> 20 [size =\"21194752\"]\n  13 -> 21 [size =\"21194752\"]\n  13 -> 22 [size =\"21194752\"]\n  14 [size=\"57856000\", alpha=\"0.19\", expect_size=\"28928000\"] \n  14 -> 27 [size =\"28928000\"]\n  14 -> 29 [size =\"28928000\"]\n  14 -> 37 [size =\"28928000\"]\n  14 -> 38 [size =\"28928000\"]\n  15 [size=\"46225408\", alpha=\"0.20\", expect_size=\"23112704\"] \n  15 -> 31 [size =\"23112704\"]\n  15 -> 37 [size =\"23112704\"]\n  16 [size=\"36478976\", alpha=\"0.16\", expect_size=\"18239488\"] \n  16 -> 27 [size =\"18239488\"]\n  16 -> 28 [size =\"18239488\"]\n  16 -> 30 [size =\"18239488\"]\n  16 -> 34 [size =\"18239488\"]\n  17 [size=\"76134400\", alpha=\"0.07\", expect_size=\"38067200\"] \n  17 -> 28 [size =\"38067200\"]\n  17 -> 36 [size =\"38067200\"]\n  18 [size=\"51449856\", alpha=\"0.08\", expect_size=\"25724928\"] \n  18 -> 27 [size =\"25724928\"]\n  19 [size=\"80306176\", alpha=\"0.13\", expect_size=\"40153088\"] \n  19 -> 26 [size =\"40153088\"]\n  19 -> 28 [size =\"40153088\"]\n  19 -> 31 [size =\"40153088\"]\n  19 -> 37 [size =\"40153088\"]\n  20 [size=\"32999424\", alpha=\"0.02\", expect_size=\"16499712\"] \n  20 -> 28 [size =\"16499712\"]\n  20 -> 33 [size =\"16499712\"]\n  20 -> 35 [size =\"16499712\"]\n  20 -> 36 [size =\"16499712\"]\n  21 [size=\"53891072\", alpha=\"0.08\", expect_size=\"26945536\"] \n  21 -> 27 [size =\"26945536\"]\n  21 -> 36 [size =\"26945536\"]\n  21 -> 38 [size =\"26945536\"]\n  22 [size=\"13404160\", alpha=\"0.05\", expect_size=\"6702080\"] \n  22 -> 32 [size =\"6702080\"]\n  22 -> 34 [size =\"6702080\"]\n  22 -> 36 [size =\"6702080\"]\n  22 -> 38 [size =\"6702080\"]\n  23 [size=\"86806528\", alpha=\"0.18\", expect_size=\"43403264\"] \n  23 -> 36 [size =\"43403264\"]\n  23 -> 37 [size =\"43403264\"]\n  24 [size=\"34004992\", alpha=\"0.01\", expect_size=\"17002496\"] \n  24 -> 29 [size =\"17002496\"]\n  24 -> 36 [size =\"17002496\"]\n  25 [size=\"29868032\", alpha=\"0.12\", expect_size=\"14934016\"] \n  25 -> 38 [size =\"14934016\"]\n  26 [size=\"29257728\", alpha=\"0.17\", expect_size=\"14628864\"] \n  27 [size=\"11307008\", alpha=\"0.19\", expect_size=\"5653504\"] \n  27 -> 39 [size =\"5653504\"]\n  27 -> 40 [size =\"5653504\"]\n  28 [size=\"46088192\", alpha=\"0.15\", expect_size=\"23044096\"] \n  29 [size=\"86054912\", alpha=\"0.14\", expect_size=\"43027456\"] \n  30 [size=\"52367360\", alpha=\"0.07\", expect_size=\"26183680\"] \n  31 [size=\"63137792\", alpha=\"0.15\", expect_size=\"31568896\"] \n  31 -> 39 [size =\"31568896\"]\n  32 [size=\"101447680\", alpha=\"0.12\", expect_size=\"50723840\"] \n  33 [size=\"28872704\", alpha=\"0.16\", expect_size=\"14436352\"] \n  33 -> 40 [size =\"14436352\"]\n  34 [size=\"17668096\", alpha=\"0.09\", expect_size=\"8834048\"] \n  34 -> 39 [size =\"8834048\"]\n  35 [size=\"23633920\", alpha=\"0.10\", expect_size=\"11816960\"] \n  36 [size=\"81614848\", alpha=\"0.17\", expect_size=\"40807424\"] \n  36 -> 40 [size =\"40807424\"]\n  37 [size=\"68007936\", alpha=\"0.17\", expect_size=\"34003968\"] \n  37 -> 39 [size =\"34003968\"]\n  38 [size=\"63502336\", alpha=\"0.06\", expect_size=\"31751168\"] \n  39 [size=\"37642240\", alpha=\"0.10\", expect_size=\"18821120\"] \n  40 [size=\"103217152\", alpha=\"0.19\", expect_size=\"51608576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46660267\", alpha=\"0.09\", expect_size=\"13998080\"] \n  1 -> 11 [size =\"13998080\"]\n  1 -> 12 [size =\"13998080\"]\n  1 -> 14 [size =\"13998080\"]\n  1 -> 15 [size =\"13998080\"]\n  1 -> 16 [size =\"13998080\"]\n  1 -> 18 [size =\"13998080\"]\n  1 -> 19 [size =\"13998080\"]\n  1 -> 21 [size =\"13998080\"]\n  1 -> 23 [size =\"13998080\"]\n  2 [size=\"36253013\", alpha=\"0.11\", expect_size=\"10875904\"] \n  2 -> 11 [size =\"10875904\"]\n  2 -> 14 [size =\"10875904\"]\n  2 -> 15 [size =\"10875904\"]\n  2 -> 16 [size =\"10875904\"]\n  2 -> 19 [size =\"10875904\"]\n  2 -> 23 [size =\"10875904\"]\n  3 [size=\"149555200\", alpha=\"0.09\", expect_size=\"44866560\"] \n  3 -> 11 [size =\"44866560\"]\n  3 -> 17 [size =\"44866560\"]\n  3 -> 19 [size =\"44866560\"]\n  3 -> 21 [size =\"44866560\"]\n  4 [size=\"116565333\", alpha=\"0.06\", expect_size=\"34969600\"] \n  4 -> 12 [size =\"34969600\"]\n  4 -> 13 [size =\"34969600\"]\n  4 -> 14 [size =\"34969600\"]\n  4 -> 17 [size =\"34969600\"]\n  4 -> 19 [size =\"34969600\"]\n  4 -> 20 [size =\"34969600\"]\n  4 -> 22 [size =\"34969600\"]\n  5 [size=\"131761493\", alpha=\"0.16\", expect_size=\"39528448\"] \n  5 -> 11 [size =\"39528448\"]\n  5 -> 13 [size =\"39528448\"]\n  5 -> 14 [size =\"39528448\"]\n  5 -> 15 [size =\"39528448\"]\n  5 -> 17 [size =\"39528448\"]\n  5 -> 23 [size =\"39528448\"]\n  6 [size=\"97283413\", alpha=\"0.01\", expect_size=\"29185024\"] \n  6 -> 13 [size =\"29185024\"]\n  6 -> 14 [size =\"29185024\"]\n  6 -> 16 [size =\"29185024\"]\n  7 [size=\"135990613\", alpha=\"0.04\", expect_size=\"40797184\"] \n  7 -> 11 [size =\"40797184\"]\n  7 -> 13 [size =\"40797184\"]\n  7 -> 14 [size =\"40797184\"]\n  7 -> 16 [size =\"40797184\"]\n  7 -> 17 [size =\"40797184\"]\n  7 -> 19 [size =\"40797184\"]\n  7 -> 23 [size =\"40797184\"]\n  8 [size=\"37638827\", alpha=\"0.04\", expect_size=\"11291648\"] \n  8 -> 14 [size =\"11291648\"]\n  8 -> 15 [size =\"11291648\"]\n  8 -> 16 [size =\"11291648\"]\n  8 -> 17 [size =\"11291648\"]\n  8 -> 17 [size =\"11291648\"]\n  8 -> 19 [size =\"11291648\"]\n  9 [size=\"154634240\", alpha=\"0.15\", expect_size=\"46390272\"] \n  9 -> 12 [size =\"46390272\"]\n  9 -> 15 [size =\"46390272\"]\n  9 -> 17 [size =\"46390272\"]\n  9 -> 19 [size =\"46390272\"]\n  9 -> 22 [size =\"46390272\"]\n  9 -> 23 [size =\"46390272\"]\n  10 [size=\"33809067\", alpha=\"0.01\", expect_size=\"10142720\"] \n  10 -> 11 [size =\"10142720\"]\n  10 -> 15 [size =\"10142720\"]\n  10 -> 19 [size =\"10142720\"]\n  10 -> 23 [size =\"10142720\"]\n  11 [size=\"56971947\", alpha=\"0.07\", expect_size=\"17091584\"] \n  11 -> 29 [size =\"17091584\"]\n  11 -> 30 [size =\"17091584\"]\n  11 -> 32 [size =\"17091584\"]\n  12 [size=\"126464000\", alpha=\"0.13\", expect_size=\"37939200\"] \n  12 -> 29 [size =\"37939200\"]\n  12 -> 30 [size =\"37939200\"]\n  12 -> 32 [size =\"37939200\"]\n  12 -> 34 [size =\"37939200\"]\n  13 [size=\"58917547\", alpha=\"0.03\", expect_size=\"17675264\"] \n  13 -> 24 [size =\"17675264\"]\n  13 -> 26 [size =\"17675264\"]\n  13 -> 30 [size =\"17675264\"]\n  13 -> 31 [size =\"17675264\"]\n  13 -> 32 [size =\"17675264\"]\n  14 [size=\"132447573\", alpha=\"0.03\", expect_size=\"39734272\"] \n  14 -> 24 [size =\"39734272\"]\n  14 -> 25 [size =\"39734272\"]\n  14 -> 26 [size =\"39734272\"]\n  14 -> 27 [size =\"39734272\"]\n  14 -> 29 [size =\"39734272\"]\n  14 -> 30 [size =\"39734272\"]\n  14 -> 31 [size =\"39734272\"]\n  14 -> 32 [size =\"39734272\"]\n  15 [size=\"21957973\", alpha=\"0.14\", expect_size=\"6587392\"] \n  15 -> 26 [size =\"6587392\"]\n  15 -> 29 [size =\"6587392\"]\n  15 -> 30 [size =\"6587392\"]\n  15 -> 31 [size =\"6587392\"]\n  15 -> 32 [size =\"6587392\"]\n  15 -> 34 [size =\"6587392\"]\n  16 [size=\"145489920\", alpha=\"0.04\", expect_size=\"43646976\"] \n  16 -> 25 [size =\"43646976\"]\n  16 -> 27 [size =\"43646976\"]\n  16 -> 29 [size =\"43646976\"]\n  16 -> 30 [size =\"43646976\"]\n  16 -> 31 [size =\"43646976\"]\n  16 -> 32 [size =\"43646976\"]\n  16 -> 33 [size =\"43646976\"]\n  16 -> 34 [size =\"43646976\"]\n  17 [size=\"150473387\", alpha=\"0.10\", expect_size=\"45142016\"] \n  17 -> 25 [size =\"45142016\"]\n  17 -> 29 [size =\"45142016\"]\n  17 -> 30 [size =\"45142016\"]\n  17 -> 30 [size =\"45142016\"]\n  17 -> 31 [size =\"45142016\"]\n  17 -> 34 [size =\"45142016\"]\n  18 [size=\"24876373\", alpha=\"0.19\", expect_size=\"7462912\"] \n  18 -> 27 [size =\"7462912\"]\n  18 -> 29 [size =\"7462912\"]\n  18 -> 31 [size =\"7462912\"]\n  18 -> 32 [size =\"7462912\"]\n  18 -> 34 [size =\"7462912\"]\n  19 [size=\"56565760\", alpha=\"0.16\", expect_size=\"16969728\"] \n  19 -> 27 [size =\"16969728\"]\n  19 -> 29 [size =\"16969728\"]\n  19 -> 30 [size =\"16969728\"]\n  19 -> 31 [size =\"16969728\"]\n  19 -> 32 [size =\"16969728\"]\n  20 [size=\"172369920\", alpha=\"0.04\", expect_size=\"51710976\"] \n  20 -> 24 [size =\"51710976\"]\n  20 -> 27 [size =\"51710976\"]\n  20 -> 29 [size =\"51710976\"]\n  20 -> 30 [size =\"51710976\"]\n  20 -> 31 [size =\"51710976\"]\n  20 -> 32 [size =\"51710976\"]\n  21 [size=\"25292800\", alpha=\"0.16\", expect_size=\"7587840\"] \n  21 -> 26 [size =\"7587840\"]\n  21 -> 29 [size =\"7587840\"]\n  21 -> 29 [size =\"7587840\"]\n  21 -> 31 [size =\"7587840\"]\n  21 -> 31 [size =\"7587840\"]\n  21 -> 32 [size =\"7587840\"]\n  22 [size=\"81394347\", alpha=\"0.10\", expect_size=\"24418304\"] \n  22 -> 27 [size =\"24418304\"]\n  22 -> 28 [size =\"24418304\"]\n  22 -> 31 [size =\"24418304\"]\n  22 -> 32 [size =\"24418304\"]\n  23 [size=\"30231893\", alpha=\"0.02\", expect_size=\"9069568\"] \n  23 -> 30 [size =\"9069568\"]\n  23 -> 32 [size =\"9069568\"]\n  24 [size=\"55562240\", alpha=\"0.05\", expect_size=\"16668672\"] \n  24 -> 35 [size =\"16668672\"]\n  24 -> 38 [size =\"16668672\"]\n  24 -> 40 [size =\"16668672\"]\n  25 [size=\"80595627\", alpha=\"0.04\", expect_size=\"24178688\"] \n  25 -> 35 [size =\"24178688\"]\n  25 -> 38 [size =\"24178688\"]\n  25 -> 40 [size =\"24178688\"]\n  26 [size=\"37106347\", alpha=\"0.12\", expect_size=\"11131904\"] \n  26 -> 35 [size =\"11131904\"]\n  26 -> 38 [size =\"11131904\"]\n  26 -> 39 [size =\"11131904\"]\n  26 -> 40 [size =\"11131904\"]\n  27 [size=\"65706667\", alpha=\"0.16\", expect_size=\"19712000\"] \n  27 -> 35 [size =\"19712000\"]\n  27 -> 38 [size =\"19712000\"]\n  27 -> 39 [size =\"19712000\"]\n  27 -> 40 [size =\"19712000\"]\n  28 [size=\"141011627\", alpha=\"0.02\", expect_size=\"42303488\"] \n  28 -> 35 [size =\"42303488\"]\n  28 -> 37 [size =\"42303488\"]\n  28 -> 38 [size =\"42303488\"]\n  28 -> 39 [size =\"42303488\"]\n  29 [size=\"132751360\", alpha=\"0.05\", expect_size=\"39825408\"] \n  29 -> 35 [size =\"39825408\"]\n  29 -> 38 [size =\"39825408\"]\n  29 -> 38 [size =\"39825408\"]\n  29 -> 39 [size =\"39825408\"]\n  30 [size=\"99194880\", alpha=\"0.11\", expect_size=\"29758464\"] \n  30 -> 35 [size =\"29758464\"]\n  30 -> 39 [size =\"29758464\"]\n  30 -> 40 [size =\"29758464\"]\n  31 [size=\"130785280\", alpha=\"0.02\", expect_size=\"39235584\"] \n  31 -> 35 [size =\"39235584\"]\n  31 -> 38 [size =\"39235584\"]\n  31 -> 39 [size =\"39235584\"]\n  31 -> 40 [size =\"39235584\"]\n  32 [size=\"99420160\", alpha=\"0.06\", expect_size=\"29826048\"] \n  32 -> 35 [size =\"29826048\"]\n  32 -> 36 [size =\"29826048\"]\n  33 [size=\"23883093\", alpha=\"0.16\", expect_size=\"7164928\"] \n  33 -> 35 [size =\"7164928\"]\n  33 -> 37 [size =\"7164928\"]\n  33 -> 40 [size =\"7164928\"]\n  34 [size=\"36249600\", alpha=\"0.00\", expect_size=\"10874880\"] \n  34 -> 38 [size =\"10874880\"]\n  34 -> 40 [size =\"10874880\"]\n  34 -> 40 [size =\"10874880\"]\n  35 [size=\"78325760\", alpha=\"0.05\", expect_size=\"23497728\"] \n  36 [size=\"107113813\", alpha=\"0.06\", expect_size=\"32134144\"] \n  37 [size=\"45134507\", alpha=\"0.04\", expect_size=\"13540352\"] \n  38 [size=\"168192000\", alpha=\"0.04\", expect_size=\"50457600\"] \n  39 [size=\"24596480\", alpha=\"0.08\", expect_size=\"7378944\"] \n  40 [size=\"66075307\", alpha=\"0.11\", expect_size=\"19822592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79472640\", alpha=\"0.01\", expect_size=\"39736320\"] \n  1 -> 5 [size =\"39736320\"]\n  2 [size=\"75329536\", alpha=\"0.08\", expect_size=\"37664768\"] \n  2 -> 4 [size =\"37664768\"]\n  2 -> 6 [size =\"37664768\"]\n  3 [size=\"90071040\", alpha=\"0.02\", expect_size=\"45035520\"] \n  3 -> 4 [size =\"45035520\"]\n  4 [size=\"31567872\", alpha=\"0.06\", expect_size=\"15783936\"] \n  5 [size=\"102561792\", alpha=\"0.05\", expect_size=\"51280896\"] \n  5 -> 7 [size =\"51280896\"]\n  5 -> 8 [size =\"51280896\"]\n  6 [size=\"67170304\", alpha=\"0.06\", expect_size=\"33585152\"] \n  6 -> 7 [size =\"33585152\"]\n  6 -> 8 [size =\"33585152\"]\n  7 [size=\"47656960\", alpha=\"0.08\", expect_size=\"23828480\"] \n  7 -> 11 [size =\"23828480\"]\n  8 [size=\"51445760\", alpha=\"0.10\", expect_size=\"25722880\"] \n  8 -> 9 [size =\"25722880\"]\n  8 -> 10 [size =\"25722880\"]\n  9 [size=\"58832896\", alpha=\"0.03\", expect_size=\"29416448\"] \n  9 -> 13 [size =\"29416448\"]\n  9 -> 14 [size =\"29416448\"]\n  10 [size=\"89014272\", alpha=\"0.05\", expect_size=\"44507136\"] \n  10 -> 13 [size =\"44507136\"]\n  11 [size=\"48033792\", alpha=\"0.07\", expect_size=\"24016896\"] \n  11 -> 12 [size =\"24016896\"]\n  11 -> 14 [size =\"24016896\"]\n  12 [size=\"54921216\", alpha=\"0.16\", expect_size=\"27460608\"] \n  13 [size=\"92698624\", alpha=\"0.05\", expect_size=\"46349312\"] \n  13 -> 15 [size =\"46349312\"]\n  13 -> 16 [size =\"46349312\"]\n  14 [size=\"103931904\", alpha=\"0.08\", expect_size=\"51965952\"] \n  14 -> 16 [size =\"51965952\"]\n  15 [size=\"38535168\", alpha=\"0.09\", expect_size=\"19267584\"] \n  15 -> 17 [size =\"19267584\"]\n  15 -> 18 [size =\"19267584\"]\n  16 [size=\"64096256\", alpha=\"0.03\", expect_size=\"32048128\"] \n  17 [size=\"92536832\", alpha=\"0.07\", expect_size=\"46268416\"] \n  17 -> 19 [size =\"46268416\"]\n  17 -> 20 [size =\"46268416\"]\n  17 -> 21 [size =\"46268416\"]\n  18 [size=\"34840576\", alpha=\"0.03\", expect_size=\"17420288\"] \n  18 -> 19 [size =\"17420288\"]\n  19 [size=\"83271680\", alpha=\"0.03\", expect_size=\"41635840\"] \n  19 -> 22 [size =\"41635840\"]\n  20 [size=\"98783232\", alpha=\"0.17\", expect_size=\"49391616\"] \n  21 [size=\"29657088\", alpha=\"0.07\", expect_size=\"14828544\"] \n  21 -> 23 [size =\"14828544\"]\n  22 [size=\"60706816\", alpha=\"0.10\", expect_size=\"30353408\"] \n  22 -> 24 [size =\"30353408\"]\n  23 [size=\"43272192\", alpha=\"0.10\", expect_size=\"21636096\"] \n  23 -> 25 [size =\"21636096\"]\n  24 [size=\"66433024\", alpha=\"0.14\", expect_size=\"33216512\"] \n  24 -> 26 [size =\"33216512\"]\n  24 -> 27 [size =\"33216512\"]\n  25 [size=\"10643456\", alpha=\"0.18\", expect_size=\"5321728\"] \n  25 -> 26 [size =\"5321728\"]\n  25 -> 27 [size =\"5321728\"]\n  26 [size=\"52723712\", alpha=\"0.14\", expect_size=\"26361856\"] \n  26 -> 29 [size =\"26361856\"]\n  26 -> 30 [size =\"26361856\"]\n  27 [size=\"67084288\", alpha=\"0.18\", expect_size=\"33542144\"] \n  27 -> 28 [size =\"33542144\"]\n  28 [size=\"102141952\", alpha=\"0.11\", expect_size=\"51070976\"] \n  28 -> 32 [size =\"51070976\"]\n  29 [size=\"21917696\", alpha=\"0.14\", expect_size=\"10958848\"] \n  29 -> 32 [size =\"10958848\"]\n  30 [size=\"34179072\", alpha=\"0.13\", expect_size=\"17089536\"] \n  30 -> 31 [size =\"17089536\"]\n  31 [size=\"21815296\", alpha=\"0.01\", expect_size=\"10907648\"] \n  31 -> 34 [size =\"10907648\"]\n  31 -> 35 [size =\"10907648\"]\n  32 [size=\"53815296\", alpha=\"0.17\", expect_size=\"26907648\"] \n  32 -> 33 [size =\"26907648\"]\n  33 [size=\"100648960\", alpha=\"0.12\", expect_size=\"50324480\"] \n  33 -> 36 [size =\"50324480\"]\n  33 -> 37 [size =\"50324480\"]\n  34 [size=\"53164032\", alpha=\"0.06\", expect_size=\"26582016\"] \n  34 -> 36 [size =\"26582016\"]\n  35 [size=\"26810368\", alpha=\"0.06\", expect_size=\"13405184\"] \n  36 [size=\"19292160\", alpha=\"0.17\", expect_size=\"9646080\"] \n  37 [size=\"87300096\", alpha=\"0.06\", expect_size=\"43650048\"] \n  37 -> 38 [size =\"43650048\"]\n  37 -> 39 [size =\"43650048\"]\n  37 -> 40 [size =\"43650048\"]\n  38 [size=\"79257600\", alpha=\"0.20\", expect_size=\"39628800\"] \n  39 [size=\"36128768\", alpha=\"0.09\", expect_size=\"18064384\"] \n  40 [size=\"100630528\", alpha=\"0.17\", expect_size=\"50315264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164222293\", alpha=\"0.01\", expect_size=\"49266688\"] \n  1 -> 40 [size =\"49266688\"]\n  2 [size=\"54050133\", alpha=\"0.04\", expect_size=\"16215040\"] \n  2 -> 40 [size =\"16215040\"]\n  3 [size=\"84831573\", alpha=\"0.07\", expect_size=\"25449472\"] \n  3 -> 40 [size =\"25449472\"]\n  4 [size=\"144793600\", alpha=\"0.15\", expect_size=\"43438080\"] \n  4 -> 40 [size =\"43438080\"]\n  5 [size=\"93115733\", alpha=\"0.12\", expect_size=\"27934720\"] \n  6 [size=\"110714880\", alpha=\"0.17\", expect_size=\"33214464\"] \n  6 -> 40 [size =\"33214464\"]\n  7 [size=\"112380587\", alpha=\"0.13\", expect_size=\"33714176\"] \n  8 [size=\"23777280\", alpha=\"0.12\", expect_size=\"7133184\"] \n  9 [size=\"157416107\", alpha=\"0.01\", expect_size=\"47224832\"] \n  10 [size=\"91265707\", alpha=\"0.00\", expect_size=\"27379712\"] \n  11 [size=\"154497707\", alpha=\"0.16\", expect_size=\"46349312\"] \n  11 -> 40 [size =\"46349312\"]\n  12 [size=\"163085653\", alpha=\"0.19\", expect_size=\"48925696\"] \n  13 [size=\"38912000\", alpha=\"0.14\", expect_size=\"11673600\"] \n  14 [size=\"95501653\", alpha=\"0.09\", expect_size=\"28650496\"] \n  14 -> 40 [size =\"28650496\"]\n  15 [size=\"53766827\", alpha=\"0.03\", expect_size=\"16130048\"] \n  16 [size=\"146711893\", alpha=\"0.07\", expect_size=\"44013568\"] \n  17 [size=\"120289280\", alpha=\"0.09\", expect_size=\"36086784\"] \n  18 [size=\"66781867\", alpha=\"0.03\", expect_size=\"20034560\"] \n  19 [size=\"159115947\", alpha=\"0.14\", expect_size=\"47734784\"] \n  20 [size=\"168028160\", alpha=\"0.04\", expect_size=\"50408448\"] \n  20 -> 40 [size =\"50408448\"]\n  21 [size=\"168693760\", alpha=\"0.11\", expect_size=\"50608128\"] \n  21 -> 40 [size =\"50608128\"]\n  22 [size=\"135731200\", alpha=\"0.04\", expect_size=\"40719360\"] \n  22 -> 40 [size =\"40719360\"]\n  23 [size=\"128276480\", alpha=\"0.05\", expect_size=\"38482944\"] \n  23 -> 40 [size =\"38482944\"]\n  24 [size=\"79575040\", alpha=\"0.02\", expect_size=\"23872512\"] \n  24 -> 40 [size =\"23872512\"]\n  25 [size=\"151579307\", alpha=\"0.09\", expect_size=\"45473792\"] \n  25 -> 40 [size =\"45473792\"]\n  26 [size=\"21244587\", alpha=\"0.08\", expect_size=\"6373376\"] \n  26 -> 40 [size =\"6373376\"]\n  27 [size=\"74618880\", alpha=\"0.19\", expect_size=\"22385664\"] \n  27 -> 40 [size =\"22385664\"]\n  28 [size=\"149323093\", alpha=\"0.11\", expect_size=\"44796928\"] \n  29 [size=\"169823573\", alpha=\"0.20\", expect_size=\"50947072\"] \n  29 -> 40 [size =\"50947072\"]\n  30 [size=\"125272747\", alpha=\"0.19\", expect_size=\"37581824\"] \n  30 -> 40 [size =\"37581824\"]\n  31 [size=\"153289387\", alpha=\"0.15\", expect_size=\"45986816\"] \n  31 -> 40 [size =\"45986816\"]\n  32 [size=\"86046720\", alpha=\"0.10\", expect_size=\"25814016\"] \n  33 [size=\"117411840\", alpha=\"0.07\", expect_size=\"35223552\"] \n  33 -> 40 [size =\"35223552\"]\n  34 [size=\"157446827\", alpha=\"0.15\", expect_size=\"47234048\"] \n  34 -> 40 [size =\"47234048\"]\n  35 [size=\"18903040\", alpha=\"0.07\", expect_size=\"5670912\"] \n  35 -> 40 [size =\"5670912\"]\n  36 [size=\"91989333\", alpha=\"0.15\", expect_size=\"27596800\"] \n  37 [size=\"155374933\", alpha=\"0.17\", expect_size=\"46612480\"] \n  37 -> 40 [size =\"46612480\"]\n  38 [size=\"146681173\", alpha=\"0.04\", expect_size=\"44004352\"] \n  38 -> 40 [size =\"44004352\"]\n  39 [size=\"72205653\", alpha=\"0.10\", expect_size=\"21661696\"] \n  39 -> 40 [size =\"21661696\"]\n  40 [size=\"71891627\", alpha=\"0.15\", expect_size=\"21567488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102659413\", alpha=\"0.09\", expect_size=\"30797824\"] \n  1 -> 24 [size =\"30797824\"]\n  1 -> 27 [size =\"30797824\"]\n  1 -> 29 [size =\"30797824\"]\n  1 -> 30 [size =\"30797824\"]\n  1 -> 33 [size =\"30797824\"]\n  1 -> 39 [size =\"30797824\"]\n  1 -> 40 [size =\"30797824\"]\n  2 [size=\"124129280\", alpha=\"0.16\", expect_size=\"37238784\"] \n  2 -> 18 [size =\"37238784\"]\n  2 -> 21 [size =\"37238784\"]\n  2 -> 22 [size =\"37238784\"]\n  2 -> 24 [size =\"37238784\"]\n  2 -> 25 [size =\"37238784\"]\n  2 -> 26 [size =\"37238784\"]\n  2 -> 27 [size =\"37238784\"]\n  2 -> 34 [size =\"37238784\"]\n  2 -> 37 [size =\"37238784\"]\n  2 -> 38 [size =\"37238784\"]\n  2 -> 39 [size =\"37238784\"]\n  3 [size=\"24371200\", alpha=\"0.08\", expect_size=\"7311360\"] \n  3 -> 21 [size =\"7311360\"]\n  3 -> 22 [size =\"7311360\"]\n  3 -> 24 [size =\"7311360\"]\n  3 -> 37 [size =\"7311360\"]\n  3 -> 39 [size =\"7311360\"]\n  3 -> 40 [size =\"7311360\"]\n  4 [size=\"117937493\", alpha=\"0.17\", expect_size=\"35381248\"] \n  4 -> 20 [size =\"35381248\"]\n  4 -> 21 [size =\"35381248\"]\n  4 -> 27 [size =\"35381248\"]\n  4 -> 30 [size =\"35381248\"]\n  4 -> 31 [size =\"35381248\"]\n  4 -> 33 [size =\"35381248\"]\n  4 -> 34 [size =\"35381248\"]\n  4 -> 37 [size =\"35381248\"]\n  4 -> 39 [size =\"35381248\"]\n  4 -> 40 [size =\"35381248\"]\n  5 [size=\"170123947\", alpha=\"0.09\", expect_size=\"51037184\"] \n  5 -> 18 [size =\"51037184\"]\n  5 -> 24 [size =\"51037184\"]\n  5 -> 25 [size =\"51037184\"]\n  5 -> 29 [size =\"51037184\"]\n  5 -> 33 [size =\"51037184\"]\n  5 -> 34 [size =\"51037184\"]\n  5 -> 35 [size =\"51037184\"]\n  5 -> 37 [size =\"51037184\"]\n  6 [size=\"116384427\", alpha=\"0.13\", expect_size=\"34915328\"] \n  6 -> 24 [size =\"34915328\"]\n  6 -> 25 [size =\"34915328\"]\n  6 -> 25 [size =\"34915328\"]\n  6 -> 29 [size =\"34915328\"]\n  6 -> 30 [size =\"34915328\"]\n  6 -> 33 [size =\"34915328\"]\n  6 -> 39 [size =\"34915328\"]\n  7 [size=\"136523093\", alpha=\"0.01\", expect_size=\"40956928\"] \n  7 -> 22 [size =\"40956928\"]\n  7 -> 23 [size =\"40956928\"]\n  7 -> 24 [size =\"40956928\"]\n  7 -> 25 [size =\"40956928\"]\n  7 -> 30 [size =\"40956928\"]\n  7 -> 33 [size =\"40956928\"]\n  7 -> 35 [size =\"40956928\"]\n  8 [size=\"63488000\", alpha=\"0.11\", expect_size=\"19046400\"] \n  8 -> 19 [size =\"19046400\"]\n  8 -> 22 [size =\"19046400\"]\n  8 -> 23 [size =\"19046400\"]\n  8 -> 25 [size =\"19046400\"]\n  8 -> 29 [size =\"19046400\"]\n  8 -> 30 [size =\"19046400\"]\n  8 -> 35 [size =\"19046400\"]\n  8 -> 38 [size =\"19046400\"]\n  8 -> 39 [size =\"19046400\"]\n  9 [size=\"67986773\", alpha=\"0.15\", expect_size=\"20396032\"] \n  9 -> 18 [size =\"20396032\"]\n  9 -> 24 [size =\"20396032\"]\n  9 -> 25 [size =\"20396032\"]\n  9 -> 30 [size =\"20396032\"]\n  9 -> 32 [size =\"20396032\"]\n  9 -> 37 [size =\"20396032\"]\n  9 -> 39 [size =\"20396032\"]\n  10 [size=\"113520640\", alpha=\"0.18\", expect_size=\"34056192\"] \n  10 -> 18 [size =\"34056192\"]\n  10 -> 25 [size =\"34056192\"]\n  10 -> 30 [size =\"34056192\"]\n  10 -> 35 [size =\"34056192\"]\n  10 -> 38 [size =\"34056192\"]\n  10 -> 39 [size =\"34056192\"]\n  11 [size=\"71113387\", alpha=\"0.17\", expect_size=\"21334016\"] \n  11 -> 20 [size =\"21334016\"]\n  11 -> 29 [size =\"21334016\"]\n  11 -> 30 [size =\"21334016\"]\n  11 -> 36 [size =\"21334016\"]\n  12 [size=\"137994240\", alpha=\"0.05\", expect_size=\"41398272\"] \n  12 -> 21 [size =\"41398272\"]\n  12 -> 24 [size =\"41398272\"]\n  12 -> 25 [size =\"41398272\"]\n  12 -> 26 [size =\"41398272\"]\n  12 -> 33 [size =\"41398272\"]\n  12 -> 34 [size =\"41398272\"]\n  12 -> 35 [size =\"41398272\"]\n  13 [size=\"107093333\", alpha=\"0.03\", expect_size=\"32128000\"] \n  13 -> 18 [size =\"32128000\"]\n  13 -> 24 [size =\"32128000\"]\n  13 -> 30 [size =\"32128000\"]\n  13 -> 35 [size =\"32128000\"]\n  14 [size=\"167208960\", alpha=\"0.14\", expect_size=\"50162688\"] \n  14 -> 18 [size =\"50162688\"]\n  14 -> 20 [size =\"50162688\"]\n  14 -> 23 [size =\"50162688\"]\n  14 -> 37 [size =\"50162688\"]\n  14 -> 40 [size =\"50162688\"]\n  15 [size=\"142407680\", alpha=\"0.17\", expect_size=\"42722304\"] \n  15 -> 18 [size =\"42722304\"]\n  15 -> 29 [size =\"42722304\"]\n  15 -> 32 [size =\"42722304\"]\n  15 -> 40 [size =\"42722304\"]\n  16 [size=\"57316693\", alpha=\"0.08\", expect_size=\"17195008\"] \n  16 -> 26 [size =\"17195008\"]\n  16 -> 29 [size =\"17195008\"]\n  16 -> 30 [size =\"17195008\"]\n  16 -> 32 [size =\"17195008\"]\n  16 -> 34 [size =\"17195008\"]\n  16 -> 39 [size =\"17195008\"]\n  17 [size=\"161361920\", alpha=\"0.13\", expect_size=\"48408576\"] \n  17 -> 24 [size =\"48408576\"]\n  17 -> 25 [size =\"48408576\"]\n  17 -> 28 [size =\"48408576\"]\n  17 -> 30 [size =\"48408576\"]\n  17 -> 32 [size =\"48408576\"]\n  17 -> 33 [size =\"48408576\"]\n  17 -> 34 [size =\"48408576\"]\n  17 -> 37 [size =\"48408576\"]\n  17 -> 39 [size =\"48408576\"]\n  17 -> 40 [size =\"48408576\"]\n  18 [size=\"172748800\", alpha=\"0.16\", expect_size=\"51824640\"] \n  19 [size=\"102604800\", alpha=\"0.06\", expect_size=\"30781440\"] \n  20 [size=\"63566507\", alpha=\"0.00\", expect_size=\"19069952\"] \n  21 [size=\"50701653\", alpha=\"0.05\", expect_size=\"15210496\"] \n  22 [size=\"26664960\", alpha=\"0.04\", expect_size=\"7999488\"] \n  23 [size=\"63552853\", alpha=\"0.03\", expect_size=\"19065856\"] \n  24 [size=\"86439253\", alpha=\"0.15\", expect_size=\"25931776\"] \n  25 [size=\"42458453\", alpha=\"0.07\", expect_size=\"12737536\"] \n  26 [size=\"20299093\", alpha=\"0.11\", expect_size=\"6089728\"] \n  27 [size=\"86497280\", alpha=\"0.11\", expect_size=\"25949184\"] \n  28 [size=\"35222187\", alpha=\"0.16\", expect_size=\"10566656\"] \n  29 [size=\"160996693\", alpha=\"0.07\", expect_size=\"48299008\"] \n  30 [size=\"49404587\", alpha=\"0.11\", expect_size=\"14821376\"] \n  31 [size=\"49442133\", alpha=\"0.02\", expect_size=\"14832640\"] \n  32 [size=\"89006080\", alpha=\"0.08\", expect_size=\"26701824\"] \n  33 [size=\"117469867\", alpha=\"0.05\", expect_size=\"35240960\"] \n  34 [size=\"141725013\", alpha=\"0.02\", expect_size=\"42517504\"] \n  35 [size=\"104946347\", alpha=\"0.14\", expect_size=\"31483904\"] \n  36 [size=\"159784960\", alpha=\"0.11\", expect_size=\"47935488\"] \n  37 [size=\"90579627\", alpha=\"0.07\", expect_size=\"27173888\"] \n  38 [size=\"173663573\", alpha=\"0.03\", expect_size=\"52099072\"] \n  39 [size=\"140475733\", alpha=\"0.09\", expect_size=\"42142720\"] \n  40 [size=\"41530027\", alpha=\"0.01\", expect_size=\"12459008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33945600\", alpha=\"0.17\", expect_size=\"10183680\"] \n  1 -> 2 [size =\"10183680\"]\n  2 [size=\"172769280\", alpha=\"0.06\", expect_size=\"51830784\"] \n  2 -> 3 [size =\"51830784\"]\n  3 [size=\"25582933\", alpha=\"0.10\", expect_size=\"7674880\"] \n  3 -> 4 [size =\"7674880\"]\n  4 [size=\"18623147\", alpha=\"0.08\", expect_size=\"5586944\"] \n  4 -> 5 [size =\"5586944\"]\n  5 [size=\"155576320\", alpha=\"0.19\", expect_size=\"46672896\"] \n  5 -> 6 [size =\"46672896\"]\n  6 [size=\"170656427\", alpha=\"0.14\", expect_size=\"51196928\"] \n  6 -> 7 [size =\"51196928\"]\n  7 [size=\"75516587\", alpha=\"0.09\", expect_size=\"22654976\"] \n  7 -> 8 [size =\"22654976\"]\n  8 [size=\"147496960\", alpha=\"0.05\", expect_size=\"44249088\"] \n  8 -> 9 [size =\"44249088\"]\n  9 [size=\"164416853\", alpha=\"0.17\", expect_size=\"49325056\"] \n  9 -> 10 [size =\"49325056\"]\n  10 [size=\"122105173\", alpha=\"0.07\", expect_size=\"36631552\"] \n  10 -> 11 [size =\"36631552\"]\n  11 [size=\"104823467\", alpha=\"0.06\", expect_size=\"31447040\"] \n  11 -> 12 [size =\"31447040\"]\n  12 [size=\"82462720\", alpha=\"0.03\", expect_size=\"24738816\"] \n  12 -> 13 [size =\"24738816\"]\n  13 [size=\"132430507\", alpha=\"0.17\", expect_size=\"39729152\"] \n  13 -> 14 [size =\"39729152\"]\n  14 [size=\"51015680\", alpha=\"0.00\", expect_size=\"15304704\"] \n  14 -> 15 [size =\"15304704\"]\n  15 [size=\"112773120\", alpha=\"0.14\", expect_size=\"33831936\"] \n  15 -> 16 [size =\"33831936\"]\n  16 [size=\"102963200\", alpha=\"0.18\", expect_size=\"30888960\"] \n  16 -> 17 [size =\"30888960\"]\n  17 [size=\"54272000\", alpha=\"0.10\", expect_size=\"16281600\"] \n  17 -> 18 [size =\"16281600\"]\n  18 [size=\"123962027\", alpha=\"0.20\", expect_size=\"37188608\"] \n  18 -> 19 [size =\"37188608\"]\n  19 [size=\"164044800\", alpha=\"0.18\", expect_size=\"49213440\"] \n  19 -> 20 [size =\"49213440\"]\n  20 [size=\"142489600\", alpha=\"0.16\", expect_size=\"42746880\"] \n  20 -> 21 [size =\"42746880\"]\n  21 [size=\"43127467\", alpha=\"0.16\", expect_size=\"12938240\"] \n  21 -> 22 [size =\"12938240\"]\n  22 [size=\"87026347\", alpha=\"0.16\", expect_size=\"26107904\"] \n  22 -> 23 [size =\"26107904\"]\n  23 [size=\"109192533\", alpha=\"0.17\", expect_size=\"32757760\"] \n  23 -> 24 [size =\"32757760\"]\n  24 [size=\"82626560\", alpha=\"0.18\", expect_size=\"24787968\"] \n  24 -> 25 [size =\"24787968\"]\n  25 [size=\"84797440\", alpha=\"0.17\", expect_size=\"25439232\"] \n  25 -> 26 [size =\"25439232\"]\n  26 [size=\"34993493\", alpha=\"0.15\", expect_size=\"10498048\"] \n  26 -> 27 [size =\"10498048\"]\n  27 [size=\"172789760\", alpha=\"0.00\", expect_size=\"51836928\"] \n  27 -> 28 [size =\"51836928\"]\n  28 [size=\"97017173\", alpha=\"0.02\", expect_size=\"29105152\"] \n  28 -> 29 [size =\"29105152\"]\n  29 [size=\"96320853\", alpha=\"0.03\", expect_size=\"28896256\"] \n  29 -> 30 [size =\"28896256\"]\n  30 [size=\"77451947\", alpha=\"0.17\", expect_size=\"23235584\"] \n  30 -> 31 [size =\"23235584\"]\n  31 [size=\"43578027\", alpha=\"0.02\", expect_size=\"13073408\"] \n  31 -> 32 [size =\"13073408\"]\n  32 [size=\"168461653\", alpha=\"0.16\", expect_size=\"50538496\"] \n  32 -> 33 [size =\"50538496\"]\n  33 [size=\"135533227\", alpha=\"0.04\", expect_size=\"40659968\"] \n  33 -> 34 [size =\"40659968\"]\n  34 [size=\"110189227\", alpha=\"0.16\", expect_size=\"33056768\"] \n  34 -> 35 [size =\"33056768\"]\n  35 [size=\"93576533\", alpha=\"0.00\", expect_size=\"28072960\"] \n  35 -> 36 [size =\"28072960\"]\n  36 [size=\"66515627\", alpha=\"0.16\", expect_size=\"19954688\"] \n  36 -> 37 [size =\"19954688\"]\n  37 [size=\"24893440\", alpha=\"0.16\", expect_size=\"7468032\"] \n  37 -> 38 [size =\"7468032\"]\n  38 [size=\"26757120\", alpha=\"0.09\", expect_size=\"8027136\"] \n  38 -> 39 [size =\"8027136\"]\n  39 [size=\"44840960\", alpha=\"0.01\", expect_size=\"13452288\"] \n  39 -> 40 [size =\"13452288\"]\n  40 [size=\"68799147\", alpha=\"0.09\", expect_size=\"20639744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125648213\", alpha=\"0.07\", expect_size=\"37694464\"] \n  2 [size=\"145152000\", alpha=\"0.09\", expect_size=\"43545600\"] \n  2 -> 4 [size =\"43545600\"]\n  2 -> 5 [size =\"43545600\"]\n  3 [size=\"157003093\", alpha=\"0.01\", expect_size=\"47100928\"] \n  3 -> 5 [size =\"47100928\"]\n  4 [size=\"92241920\", alpha=\"0.15\", expect_size=\"27672576\"] \n  4 -> 7 [size =\"27672576\"]\n  4 -> 8 [size =\"27672576\"]\n  5 [size=\"116046507\", alpha=\"0.03\", expect_size=\"34813952\"] \n  5 -> 6 [size =\"34813952\"]\n  6 [size=\"53217280\", alpha=\"0.19\", expect_size=\"15965184\"] \n  7 [size=\"164891307\", alpha=\"0.20\", expect_size=\"49467392\"] \n  7 -> 9 [size =\"49467392\"]\n  7 -> 10 [size =\"49467392\"]\n  8 [size=\"59839147\", alpha=\"0.15\", expect_size=\"17951744\"] \n  8 -> 11 [size =\"17951744\"]\n  9 [size=\"20568747\", alpha=\"0.11\", expect_size=\"6170624\"] \n  10 [size=\"48991573\", alpha=\"0.20\", expect_size=\"14697472\"] \n  10 -> 13 [size =\"14697472\"]\n  11 [size=\"45513387\", alpha=\"0.03\", expect_size=\"13654016\"] \n  11 -> 12 [size =\"13654016\"]\n  12 [size=\"98256213\", alpha=\"0.14\", expect_size=\"29476864\"] \n  12 -> 14 [size =\"29476864\"]\n  13 [size=\"172308480\", alpha=\"0.20\", expect_size=\"51692544\"] \n  13 -> 14 [size =\"51692544\"]\n  13 -> 15 [size =\"51692544\"]\n  14 [size=\"22070613\", alpha=\"0.03\", expect_size=\"6621184\"] \n  15 [size=\"143745707\", alpha=\"0.10\", expect_size=\"43123712\"] \n  15 -> 16 [size =\"43123712\"]\n  15 -> 17 [size =\"43123712\"]\n  16 [size=\"171182080\", alpha=\"0.05\", expect_size=\"51354624\"] \n  16 -> 19 [size =\"51354624\"]\n  17 [size=\"159600640\", alpha=\"0.04\", expect_size=\"47880192\"] \n  17 -> 18 [size =\"47880192\"]\n  17 -> 19 [size =\"47880192\"]\n  17 -> 20 [size =\"47880192\"]\n  18 [size=\"157634560\", alpha=\"0.02\", expect_size=\"47290368\"] \n  18 -> 22 [size =\"47290368\"]\n  18 -> 23 [size =\"47290368\"]\n  19 [size=\"118801067\", alpha=\"0.08\", expect_size=\"35640320\"] \n  19 -> 22 [size =\"35640320\"]\n  20 [size=\"46329173\", alpha=\"0.15\", expect_size=\"13898752\"] \n  20 -> 21 [size =\"13898752\"]\n  21 [size=\"42577920\", alpha=\"0.17\", expect_size=\"12773376\"] \n  21 -> 24 [size =\"12773376\"]\n  21 -> 25 [size =\"12773376\"]\n  21 -> 26 [size =\"12773376\"]\n  22 [size=\"68089173\", alpha=\"0.14\", expect_size=\"20426752\"] \n  22 -> 25 [size =\"20426752\"]\n  22 -> 26 [size =\"20426752\"]\n  23 [size=\"22302720\", alpha=\"0.09\", expect_size=\"6690816\"] \n  24 [size=\"20200107\", alpha=\"0.14\", expect_size=\"6060032\"] \n  24 -> 28 [size =\"6060032\"]\n  25 [size=\"43482453\", alpha=\"0.11\", expect_size=\"13044736\"] \n  26 [size=\"124603733\", alpha=\"0.13\", expect_size=\"37381120\"] \n  26 -> 27 [size =\"37381120\"]\n  26 -> 28 [size =\"37381120\"]\n  27 [size=\"166594560\", alpha=\"0.13\", expect_size=\"49978368\"] \n  27 -> 30 [size =\"49978368\"]\n  27 -> 31 [size =\"49978368\"]\n  28 [size=\"37690027\", alpha=\"0.19\", expect_size=\"11307008\"] \n  28 -> 29 [size =\"11307008\"]\n  28 -> 30 [size =\"11307008\"]\n  29 [size=\"50083840\", alpha=\"0.05\", expect_size=\"15025152\"] \n  30 [size=\"112803840\", alpha=\"0.16\", expect_size=\"33841152\"] \n  30 -> 32 [size =\"33841152\"]\n  30 -> 33 [size =\"33841152\"]\n  31 [size=\"76632747\", alpha=\"0.10\", expect_size=\"22989824\"] \n  31 -> 33 [size =\"22989824\"]\n  32 [size=\"49749333\", alpha=\"0.14\", expect_size=\"14924800\"] \n  32 -> 35 [size =\"14924800\"]\n  33 [size=\"159822507\", alpha=\"0.17\", expect_size=\"47946752\"] \n  33 -> 34 [size =\"47946752\"]\n  33 -> 35 [size =\"47946752\"]\n  34 [size=\"74533547\", alpha=\"0.02\", expect_size=\"22360064\"] \n  34 -> 36 [size =\"22360064\"]\n  34 -> 37 [size =\"22360064\"]\n  35 [size=\"25927680\", alpha=\"0.02\", expect_size=\"7778304\"] \n  35 -> 37 [size =\"7778304\"]\n  36 [size=\"112578560\", alpha=\"0.02\", expect_size=\"33773568\"] \n  36 -> 39 [size =\"33773568\"]\n  36 -> 40 [size =\"33773568\"]\n  37 [size=\"55661227\", alpha=\"0.00\", expect_size=\"16698368\"] \n  37 -> 38 [size =\"16698368\"]\n  37 -> 39 [size =\"16698368\"]\n  38 [size=\"159877120\", alpha=\"0.16\", expect_size=\"47963136\"] \n  39 [size=\"153016320\", alpha=\"0.05\", expect_size=\"45904896\"] \n  40 [size=\"38174720\", alpha=\"0.17\", expect_size=\"11452416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93364224\", alpha=\"0.19\", expect_size=\"46682112\"] \n  1 -> 8 [size =\"46682112\"]\n  1 -> 11 [size =\"46682112\"]\n  1 -> 12 [size =\"46682112\"]\n  2 [size=\"21032960\", alpha=\"0.03\", expect_size=\"10516480\"] \n  2 -> 8 [size =\"10516480\"]\n  3 [size=\"50323456\", alpha=\"0.01\", expect_size=\"25161728\"] \n  3 -> 7 [size =\"25161728\"]\n  3 -> 8 [size =\"25161728\"]\n  3 -> 11 [size =\"25161728\"]\n  4 [size=\"78131200\", alpha=\"0.03\", expect_size=\"39065600\"] \n  4 -> 9 [size =\"39065600\"]\n  4 -> 10 [size =\"39065600\"]\n  4 -> 12 [size =\"39065600\"]\n  5 [size=\"28782592\", alpha=\"0.06\", expect_size=\"14391296\"] \n  5 -> 12 [size =\"14391296\"]\n  6 [size=\"12621824\", alpha=\"0.19\", expect_size=\"6310912\"] \n  6 -> 9 [size =\"6310912\"]\n  6 -> 10 [size =\"6310912\"]\n  6 -> 11 [size =\"6310912\"]\n  6 -> 12 [size =\"6310912\"]\n  7 [size=\"18395136\", alpha=\"0.06\", expect_size=\"9197568\"] \n  7 -> 13 [size =\"9197568\"]\n  7 -> 14 [size =\"9197568\"]\n  7 -> 16 [size =\"9197568\"]\n  7 -> 17 [size =\"9197568\"]\n  8 [size=\"57538560\", alpha=\"0.03\", expect_size=\"28769280\"] \n  8 -> 14 [size =\"28769280\"]\n  8 -> 18 [size =\"28769280\"]\n  9 [size=\"30156800\", alpha=\"0.10\", expect_size=\"15078400\"] \n  9 -> 14 [size =\"15078400\"]\n  9 -> 18 [size =\"15078400\"]\n  10 [size=\"33050624\", alpha=\"0.01\", expect_size=\"16525312\"] \n  10 -> 14 [size =\"16525312\"]\n  10 -> 15 [size =\"16525312\"]\n  10 -> 18 [size =\"16525312\"]\n  11 [size=\"87343104\", alpha=\"0.19\", expect_size=\"43671552\"] \n  11 -> 15 [size =\"43671552\"]\n  12 [size=\"81780736\", alpha=\"0.09\", expect_size=\"40890368\"] \n  12 -> 15 [size =\"40890368\"]\n  13 [size=\"96458752\", alpha=\"0.17\", expect_size=\"48229376\"] \n  13 -> 20 [size =\"48229376\"]\n  13 -> 23 [size =\"48229376\"]\n  14 [size=\"101357568\", alpha=\"0.11\", expect_size=\"50678784\"] \n  14 -> 20 [size =\"50678784\"]\n  14 -> 23 [size =\"50678784\"]\n  15 [size=\"19886080\", alpha=\"0.03\", expect_size=\"9943040\"] \n  15 -> 22 [size =\"9943040\"]\n  16 [size=\"47679488\", alpha=\"0.13\", expect_size=\"23839744\"] \n  16 -> 19 [size =\"23839744\"]\n  16 -> 21 [size =\"23839744\"]\n  17 [size=\"41670656\", alpha=\"0.07\", expect_size=\"20835328\"] \n  17 -> 19 [size =\"20835328\"]\n  17 -> 20 [size =\"20835328\"]\n  17 -> 23 [size =\"20835328\"]\n  18 [size=\"71391232\", alpha=\"0.05\", expect_size=\"35695616\"] \n  18 -> 19 [size =\"35695616\"]\n  18 -> 20 [size =\"35695616\"]\n  18 -> 23 [size =\"35695616\"]\n  19 [size=\"83959808\", alpha=\"0.01\", expect_size=\"41979904\"] \n  19 -> 24 [size =\"41979904\"]\n  19 -> 25 [size =\"41979904\"]\n  19 -> 27 [size =\"41979904\"]\n  19 -> 28 [size =\"41979904\"]\n  20 [size=\"35325952\", alpha=\"0.16\", expect_size=\"17662976\"] \n  20 -> 24 [size =\"17662976\"]\n  20 -> 28 [size =\"17662976\"]\n  21 [size=\"39131136\", alpha=\"0.09\", expect_size=\"19565568\"] \n  21 -> 26 [size =\"19565568\"]\n  21 -> 28 [size =\"19565568\"]\n  22 [size=\"35540992\", alpha=\"0.05\", expect_size=\"17770496\"] \n  22 -> 24 [size =\"17770496\"]\n  22 -> 27 [size =\"17770496\"]\n  23 [size=\"77795328\", alpha=\"0.08\", expect_size=\"38897664\"] \n  23 -> 25 [size =\"38897664\"]\n  24 [size=\"63442944\", alpha=\"0.06\", expect_size=\"31721472\"] \n  24 -> 31 [size =\"31721472\"]\n  24 -> 32 [size =\"31721472\"]\n  24 -> 33 [size =\"31721472\"]\n  25 [size=\"23187456\", alpha=\"0.08\", expect_size=\"11593728\"] \n  25 -> 32 [size =\"11593728\"]\n  26 [size=\"38035456\", alpha=\"0.11\", expect_size=\"19017728\"] \n  26 -> 30 [size =\"19017728\"]\n  27 [size=\"100976640\", alpha=\"0.15\", expect_size=\"50488320\"] \n  27 -> 32 [size =\"50488320\"]\n  27 -> 33 [size =\"50488320\"]\n  28 [size=\"38522880\", alpha=\"0.09\", expect_size=\"19261440\"] \n  28 -> 29 [size =\"19261440\"]\n  29 [size=\"62359552\", alpha=\"0.07\", expect_size=\"31179776\"] \n  29 -> 39 [size =\"31179776\"]\n  30 [size=\"64763904\", alpha=\"0.10\", expect_size=\"32381952\"] \n  30 -> 34 [size =\"32381952\"]\n  30 -> 35 [size =\"32381952\"]\n  30 -> 38 [size =\"32381952\"]\n  31 [size=\"46139392\", alpha=\"0.10\", expect_size=\"23069696\"] \n  31 -> 34 [size =\"23069696\"]\n  31 -> 35 [size =\"23069696\"]\n  31 -> 36 [size =\"23069696\"]\n  31 -> 39 [size =\"23069696\"]\n  32 [size=\"89360384\", alpha=\"0.04\", expect_size=\"44680192\"] \n  32 -> 36 [size =\"44680192\"]\n  33 [size=\"16234496\", alpha=\"0.17\", expect_size=\"8117248\"] \n  33 -> 34 [size =\"8117248\"]\n  33 -> 37 [size =\"8117248\"]\n  34 [size=\"55345152\", alpha=\"0.09\", expect_size=\"27672576\"] \n  35 [size=\"85594112\", alpha=\"0.03\", expect_size=\"42797056\"] \n  36 [size=\"30906368\", alpha=\"0.05\", expect_size=\"15453184\"] \n  36 -> 40 [size =\"15453184\"]\n  37 [size=\"82163712\", alpha=\"0.13\", expect_size=\"41081856\"] \n  38 [size=\"58533888\", alpha=\"0.14\", expect_size=\"29266944\"] \n  38 -> 40 [size =\"29266944\"]\n  39 [size=\"101439488\", alpha=\"0.11\", expect_size=\"50719744\"] \n  40 [size=\"41807872\", alpha=\"0.13\", expect_size=\"20903936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129930240\", alpha=\"0.19\", expect_size=\"51972096\"] \n  1 -> 10 [size =\"51972096\"]\n  2 [size=\"64650240\", alpha=\"0.05\", expect_size=\"25860096\"] \n  2 -> 7 [size =\"25860096\"]\n  2 -> 11 [size =\"25860096\"]\n  3 [size=\"61117440\", alpha=\"0.18\", expect_size=\"24446976\"] \n  3 -> 10 [size =\"24446976\"]\n  4 [size=\"101268480\", alpha=\"0.09\", expect_size=\"40507392\"] \n  4 -> 7 [size =\"40507392\"]\n  4 -> 8 [size =\"40507392\"]\n  4 -> 9 [size =\"40507392\"]\n  4 -> 11 [size =\"40507392\"]\n  5 [size=\"53340160\", alpha=\"0.04\", expect_size=\"21336064\"] \n  5 -> 7 [size =\"21336064\"]\n  5 -> 11 [size =\"21336064\"]\n  6 [size=\"44710400\", alpha=\"0.08\", expect_size=\"17884160\"] \n  6 -> 8 [size =\"17884160\"]\n  6 -> 9 [size =\"17884160\"]\n  7 [size=\"72924160\", alpha=\"0.10\", expect_size=\"29169664\"] \n  8 [size=\"87531520\", alpha=\"0.01\", expect_size=\"35012608\"] \n  8 -> 13 [size =\"35012608\"]\n  8 -> 15 [size =\"35012608\"]\n  8 -> 16 [size =\"35012608\"]\n  9 [size=\"91911680\", alpha=\"0.01\", expect_size=\"36764672\"] \n  10 [size=\"21148160\", alpha=\"0.06\", expect_size=\"8459264\"] \n  10 -> 16 [size =\"8459264\"]\n  11 [size=\"99845120\", alpha=\"0.18\", expect_size=\"39938048\"] \n  11 -> 12 [size =\"39938048\"]\n  11 -> 14 [size =\"39938048\"]\n  11 -> 15 [size =\"39938048\"]\n  12 [size=\"95383040\", alpha=\"0.04\", expect_size=\"38153216\"] \n  12 -> 17 [size =\"38153216\"]\n  12 -> 18 [size =\"38153216\"]\n  12 -> 22 [size =\"38153216\"]\n  12 -> 22 [size =\"38153216\"]\n  13 [size=\"126264320\", alpha=\"0.10\", expect_size=\"50505728\"] \n  14 [size=\"116646400\", alpha=\"0.03\", expect_size=\"46658560\"] \n  15 [size=\"53480960\", alpha=\"0.17\", expect_size=\"21392384\"] \n  15 -> 18 [size =\"21392384\"]\n  15 -> 19 [size =\"21392384\"]\n  15 -> 21 [size =\"21392384\"]\n  16 [size=\"77683200\", alpha=\"0.16\", expect_size=\"31073280\"] \n  16 -> 19 [size =\"31073280\"]\n  16 -> 20 [size =\"31073280\"]\n  16 -> 21 [size =\"31073280\"]\n  16 -> 22 [size =\"31073280\"]\n  17 [size=\"124999680\", alpha=\"0.18\", expect_size=\"49999872\"] \n  17 -> 25 [size =\"49999872\"]\n  18 [size=\"66890240\", alpha=\"0.01\", expect_size=\"26756096\"] \n  18 -> 24 [size =\"26756096\"]\n  18 -> 25 [size =\"26756096\"]\n  18 -> 26 [size =\"26756096\"]\n  19 [size=\"72064000\", alpha=\"0.13\", expect_size=\"28825600\"] \n  19 -> 27 [size =\"28825600\"]\n  20 [size=\"76449280\", alpha=\"0.14\", expect_size=\"30579712\"] \n  20 -> 25 [size =\"30579712\"]\n  21 [size=\"113825280\", alpha=\"0.15\", expect_size=\"45530112\"] \n  21 -> 23 [size =\"45530112\"]\n  22 [size=\"103208960\", alpha=\"0.05\", expect_size=\"41283584\"] \n  22 -> 27 [size =\"41283584\"]\n  23 [size=\"126919680\", alpha=\"0.03\", expect_size=\"50767872\"] \n  23 -> 28 [size =\"50767872\"]\n  23 -> 30 [size =\"50767872\"]\n  23 -> 31 [size =\"50767872\"]\n  23 -> 32 [size =\"50767872\"]\n  24 [size=\"70696960\", alpha=\"0.16\", expect_size=\"28278784\"] \n  24 -> 28 [size =\"28278784\"]\n  24 -> 31 [size =\"28278784\"]\n  25 [size=\"87075840\", alpha=\"0.16\", expect_size=\"34830336\"] \n  25 -> 28 [size =\"34830336\"]\n  25 -> 29 [size =\"34830336\"]\n  25 -> 30 [size =\"34830336\"]\n  25 -> 32 [size =\"34830336\"]\n  26 [size=\"67642880\", alpha=\"0.01\", expect_size=\"27057152\"] \n  26 -> 31 [size =\"27057152\"]\n  27 [size=\"45081600\", alpha=\"0.16\", expect_size=\"18032640\"] \n  27 -> 29 [size =\"18032640\"]\n  28 [size=\"30502400\", alpha=\"0.04\", expect_size=\"12200960\"] \n  28 -> 34 [size =\"12200960\"]\n  28 -> 36 [size =\"12200960\"]\n  29 [size=\"33922560\", alpha=\"0.05\", expect_size=\"13569024\"] \n  29 -> 37 [size =\"13569024\"]\n  30 [size=\"110151680\", alpha=\"0.08\", expect_size=\"44060672\"] \n  30 -> 33 [size =\"44060672\"]\n  31 [size=\"75973120\", alpha=\"0.05\", expect_size=\"30389248\"] \n  31 -> 34 [size =\"30389248\"]\n  32 [size=\"48215040\", alpha=\"0.16\", expect_size=\"19286016\"] \n  32 -> 35 [size =\"19286016\"]\n  32 -> 36 [size =\"19286016\"]\n  32 -> 37 [size =\"19286016\"]\n  33 [size=\"78420480\", alpha=\"0.07\", expect_size=\"31368192\"] \n  33 -> 40 [size =\"31368192\"]\n  34 [size=\"96632320\", alpha=\"0.15\", expect_size=\"38652928\"] \n  35 [size=\"73052160\", alpha=\"0.09\", expect_size=\"29220864\"] \n  36 [size=\"47912960\", alpha=\"0.15\", expect_size=\"19165184\"] \n  36 -> 38 [size =\"19165184\"]\n  36 -> 39 [size =\"19165184\"]\n  36 -> 40 [size =\"19165184\"]\n  37 [size=\"52820480\", alpha=\"0.20\", expect_size=\"21128192\"] \n  37 -> 40 [size =\"21128192\"]\n  38 [size=\"29626880\", alpha=\"0.14\", expect_size=\"11850752\"] \n  39 [size=\"52756480\", alpha=\"0.18\", expect_size=\"21102592\"] \n  40 [size=\"83056640\", alpha=\"0.12\", expect_size=\"33222656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112355840\", alpha=\"0.04\", expect_size=\"44942336\"] \n  1 -> 2 [size =\"44942336\"]\n  2 [size=\"123279360\", alpha=\"0.02\", expect_size=\"49311744\"] \n  2 -> 3 [size =\"49311744\"]\n  3 [size=\"33671680\", alpha=\"0.17\", expect_size=\"13468672\"] \n  3 -> 4 [size =\"13468672\"]\n  4 [size=\"33712640\", alpha=\"0.07\", expect_size=\"13485056\"] \n  4 -> 5 [size =\"13485056\"]\n  5 [size=\"69450240\", alpha=\"0.17\", expect_size=\"27780096\"] \n  5 -> 6 [size =\"27780096\"]\n  6 [size=\"120215040\", alpha=\"0.06\", expect_size=\"48086016\"] \n  6 -> 7 [size =\"48086016\"]\n  7 [size=\"114995200\", alpha=\"0.01\", expect_size=\"45998080\"] \n  7 -> 8 [size =\"45998080\"]\n  8 [size=\"41984000\", alpha=\"0.03\", expect_size=\"16793600\"] \n  8 -> 9 [size =\"16793600\"]\n  9 [size=\"95088640\", alpha=\"0.11\", expect_size=\"38035456\"] \n  9 -> 10 [size =\"38035456\"]\n  10 [size=\"75950080\", alpha=\"0.04\", expect_size=\"30380032\"] \n  10 -> 11 [size =\"30380032\"]\n  11 [size=\"127621120\", alpha=\"0.06\", expect_size=\"51048448\"] \n  11 -> 12 [size =\"51048448\"]\n  12 [size=\"32970240\", alpha=\"0.06\", expect_size=\"13188096\"] \n  12 -> 13 [size =\"13188096\"]\n  13 [size=\"43184640\", alpha=\"0.02\", expect_size=\"17273856\"] \n  13 -> 14 [size =\"17273856\"]\n  14 [size=\"26808320\", alpha=\"0.13\", expect_size=\"10723328\"] \n  14 -> 15 [size =\"10723328\"]\n  15 [size=\"67571200\", alpha=\"0.16\", expect_size=\"27028480\"] \n  15 -> 16 [size =\"27028480\"]\n  16 [size=\"50375680\", alpha=\"0.07\", expect_size=\"20150272\"] \n  16 -> 17 [size =\"20150272\"]\n  17 [size=\"83328000\", alpha=\"0.02\", expect_size=\"33331200\"] \n  17 -> 18 [size =\"33331200\"]\n  18 [size=\"87621120\", alpha=\"0.05\", expect_size=\"35048448\"] \n  18 -> 19 [size =\"35048448\"]\n  19 [size=\"106104320\", alpha=\"0.20\", expect_size=\"42441728\"] \n  19 -> 20 [size =\"42441728\"]\n  20 [size=\"52451840\", alpha=\"0.17\", expect_size=\"20980736\"] \n  20 -> 21 [size =\"20980736\"]\n  21 [size=\"74972160\", alpha=\"0.10\", expect_size=\"29988864\"] \n  21 -> 22 [size =\"29988864\"]\n  22 [size=\"112460800\", alpha=\"0.02\", expect_size=\"44984320\"] \n  22 -> 23 [size =\"44984320\"]\n  23 [size=\"31078400\", alpha=\"0.18\", expect_size=\"12431360\"] \n  23 -> 24 [size =\"12431360\"]\n  24 [size=\"41011200\", alpha=\"0.17\", expect_size=\"16404480\"] \n  24 -> 25 [size =\"16404480\"]\n  25 [size=\"117294080\", alpha=\"0.05\", expect_size=\"46917632\"] \n  25 -> 26 [size =\"46917632\"]\n  26 [size=\"96061440\", alpha=\"0.12\", expect_size=\"38424576\"] \n  26 -> 27 [size =\"38424576\"]\n  27 [size=\"19752960\", alpha=\"0.16\", expect_size=\"7901184\"] \n  27 -> 28 [size =\"7901184\"]\n  28 [size=\"29027840\", alpha=\"0.05\", expect_size=\"11611136\"] \n  28 -> 29 [size =\"11611136\"]\n  29 [size=\"58452480\", alpha=\"0.08\", expect_size=\"23380992\"] \n  29 -> 30 [size =\"23380992\"]\n  30 [size=\"58293760\", alpha=\"0.01\", expect_size=\"23317504\"] \n  30 -> 31 [size =\"23317504\"]\n  31 [size=\"37939200\", alpha=\"0.14\", expect_size=\"15175680\"] \n  31 -> 32 [size =\"15175680\"]\n  32 [size=\"96640000\", alpha=\"0.11\", expect_size=\"38656000\"] \n  32 -> 33 [size =\"38656000\"]\n  33 [size=\"108641280\", alpha=\"0.12\", expect_size=\"43456512\"] \n  33 -> 34 [size =\"43456512\"]\n  34 [size=\"94504960\", alpha=\"0.16\", expect_size=\"37801984\"] \n  34 -> 35 [size =\"37801984\"]\n  35 [size=\"74836480\", alpha=\"0.09\", expect_size=\"29934592\"] \n  35 -> 36 [size =\"29934592\"]\n  36 [size=\"105986560\", alpha=\"0.08\", expect_size=\"42394624\"] \n  36 -> 37 [size =\"42394624\"]\n  37 [size=\"59128320\", alpha=\"0.19\", expect_size=\"23651328\"] \n  37 -> 38 [size =\"23651328\"]\n  38 [size=\"36154880\", alpha=\"0.03\", expect_size=\"14461952\"] \n  38 -> 39 [size =\"14461952\"]\n  39 [size=\"65943040\", alpha=\"0.02\", expect_size=\"26377216\"] \n  39 -> 40 [size =\"26377216\"]\n  40 [size=\"112512000\", alpha=\"0.09\", expect_size=\"45004800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53455360\", alpha=\"0.09\", expect_size=\"21382144\"] \n  1 -> 6 [size =\"21382144\"]\n  1 -> 8 [size =\"21382144\"]\n  1 -> 12 [size =\"21382144\"]\n  2 [size=\"130362880\", alpha=\"0.18\", expect_size=\"52145152\"] \n  2 -> 6 [size =\"52145152\"]\n  2 -> 11 [size =\"52145152\"]\n  3 [size=\"126568960\", alpha=\"0.03\", expect_size=\"50627584\"] \n  3 -> 6 [size =\"50627584\"]\n  3 -> 9 [size =\"50627584\"]\n  3 -> 10 [size =\"50627584\"]\n  4 [size=\"29232640\", alpha=\"0.18\", expect_size=\"11693056\"] \n  4 -> 7 [size =\"11693056\"]\n  4 -> 9 [size =\"11693056\"]\n  4 -> 10 [size =\"11693056\"]\n  5 [size=\"25187840\", alpha=\"0.18\", expect_size=\"10075136\"] \n  5 -> 7 [size =\"10075136\"]\n  5 -> 8 [size =\"10075136\"]\n  5 -> 9 [size =\"10075136\"]\n  6 [size=\"13754880\", alpha=\"0.08\", expect_size=\"5501952\"] \n  6 -> 14 [size =\"5501952\"]\n  6 -> 15 [size =\"5501952\"]\n  7 [size=\"108149760\", alpha=\"0.07\", expect_size=\"43259904\"] \n  7 -> 13 [size =\"43259904\"]\n  7 -> 15 [size =\"43259904\"]\n  7 -> 16 [size =\"43259904\"]\n  8 [size=\"114895360\", alpha=\"0.12\", expect_size=\"45958144\"] \n  8 -> 14 [size =\"45958144\"]\n  8 -> 16 [size =\"45958144\"]\n  9 [size=\"52083200\", alpha=\"0.06\", expect_size=\"20833280\"] \n  9 -> 13 [size =\"20833280\"]\n  9 -> 16 [size =\"20833280\"]\n  9 -> 17 [size =\"20833280\"]\n  10 [size=\"25059840\", alpha=\"0.12\", expect_size=\"10023936\"] \n  10 -> 13 [size =\"10023936\"]\n  10 -> 14 [size =\"10023936\"]\n  11 [size=\"51061760\", alpha=\"0.16\", expect_size=\"20424704\"] \n  11 -> 13 [size =\"20424704\"]\n  11 -> 16 [size =\"20424704\"]\n  11 -> 18 [size =\"20424704\"]\n  12 [size=\"101544960\", alpha=\"0.18\", expect_size=\"40617984\"] \n  12 -> 14 [size =\"40617984\"]\n  12 -> 17 [size =\"40617984\"]\n  12 -> 19 [size =\"40617984\"]\n  13 [size=\"88760320\", alpha=\"0.05\", expect_size=\"35504128\"] \n  13 -> 22 [size =\"35504128\"]\n  13 -> 22 [size =\"35504128\"]\n  13 -> 24 [size =\"35504128\"]\n  14 [size=\"107100160\", alpha=\"0.11\", expect_size=\"42840064\"] \n  15 [size=\"93181440\", alpha=\"0.03\", expect_size=\"37272576\"] \n  15 -> 21 [size =\"37272576\"]\n  15 -> 24 [size =\"37272576\"]\n  15 -> 26 [size =\"37272576\"]\n  16 [size=\"82076160\", alpha=\"0.18\", expect_size=\"32830464\"] \n  16 -> 20 [size =\"32830464\"]\n  16 -> 23 [size =\"32830464\"]\n  17 [size=\"127247360\", alpha=\"0.15\", expect_size=\"50898944\"] \n  17 -> 21 [size =\"50898944\"]\n  17 -> 22 [size =\"50898944\"]\n  17 -> 24 [size =\"50898944\"]\n  17 -> 26 [size =\"50898944\"]\n  18 [size=\"49256960\", alpha=\"0.12\", expect_size=\"19702784\"] \n  18 -> 21 [size =\"19702784\"]\n  18 -> 22 [size =\"19702784\"]\n  18 -> 25 [size =\"19702784\"]\n  19 [size=\"120448000\", alpha=\"0.03\", expect_size=\"48179200\"] \n  19 -> 21 [size =\"48179200\"]\n  19 -> 22 [size =\"48179200\"]\n  19 -> 23 [size =\"48179200\"]\n  19 -> 26 [size =\"48179200\"]\n  20 [size=\"35002880\", alpha=\"0.07\", expect_size=\"14001152\"] \n  20 -> 27 [size =\"14001152\"]\n  20 -> 30 [size =\"14001152\"]\n  20 -> 31 [size =\"14001152\"]\n  20 -> 32 [size =\"14001152\"]\n  21 [size=\"106022400\", alpha=\"0.18\", expect_size=\"42408960\"] \n  21 -> 27 [size =\"42408960\"]\n  21 -> 28 [size =\"42408960\"]\n  21 -> 32 [size =\"42408960\"]\n  22 [size=\"83578880\", alpha=\"0.08\", expect_size=\"33431552\"] \n  22 -> 27 [size =\"33431552\"]\n  22 -> 29 [size =\"33431552\"]\n  22 -> 31 [size =\"33431552\"]\n  22 -> 32 [size =\"33431552\"]\n  23 [size=\"70443520\", alpha=\"0.18\", expect_size=\"28177408\"] \n  23 -> 28 [size =\"28177408\"]\n  23 -> 29 [size =\"28177408\"]\n  23 -> 30 [size =\"28177408\"]\n  23 -> 31 [size =\"28177408\"]\n  24 [size=\"100544000\", alpha=\"0.10\", expect_size=\"40217600\"] \n  24 -> 29 [size =\"40217600\"]\n  25 [size=\"47603200\", alpha=\"0.05\", expect_size=\"19041280\"] \n  25 -> 29 [size =\"19041280\"]\n  25 -> 30 [size =\"19041280\"]\n  26 [size=\"67840000\", alpha=\"0.19\", expect_size=\"27136000\"] \n  26 -> 27 [size =\"27136000\"]\n  26 -> 29 [size =\"27136000\"]\n  26 -> 30 [size =\"27136000\"]\n  27 [size=\"57405440\", alpha=\"0.10\", expect_size=\"22962176\"] \n  27 -> 34 [size =\"22962176\"]\n  27 -> 35 [size =\"22962176\"]\n  27 -> 36 [size =\"22962176\"]\n  28 [size=\"27054080\", alpha=\"0.18\", expect_size=\"10821632\"] \n  28 -> 33 [size =\"10821632\"]\n  28 -> 36 [size =\"10821632\"]\n  29 [size=\"99112960\", alpha=\"0.12\", expect_size=\"39645184\"] \n  29 -> 33 [size =\"39645184\"]\n  29 -> 35 [size =\"39645184\"]\n  29 -> 36 [size =\"39645184\"]\n  30 [size=\"118540800\", alpha=\"0.09\", expect_size=\"47416320\"] \n  30 -> 34 [size =\"47416320\"]\n  30 -> 35 [size =\"47416320\"]\n  30 -> 36 [size =\"47416320\"]\n  31 [size=\"41914880\", alpha=\"0.12\", expect_size=\"16765952\"] \n  31 -> 34 [size =\"16765952\"]\n  32 [size=\"27543040\", alpha=\"0.10\", expect_size=\"11017216\"] \n  32 -> 33 [size =\"11017216\"]\n  33 [size=\"74721280\", alpha=\"0.01\", expect_size=\"29888512\"] \n  33 -> 38 [size =\"29888512\"]\n  34 [size=\"60979200\", alpha=\"0.07\", expect_size=\"24391680\"] \n  34 -> 39 [size =\"24391680\"]\n  35 [size=\"120407040\", alpha=\"0.08\", expect_size=\"48162816\"] \n  35 -> 38 [size =\"48162816\"]\n  36 [size=\"29160960\", alpha=\"0.20\", expect_size=\"11664384\"] \n  36 -> 37 [size =\"11664384\"]\n  36 -> 38 [size =\"11664384\"]\n  36 -> 40 [size =\"11664384\"]\n  37 [size=\"23815680\", alpha=\"0.11\", expect_size=\"9526272\"] \n  38 [size=\"81454080\", alpha=\"0.09\", expect_size=\"32581632\"] \n  39 [size=\"67932160\", alpha=\"0.04\", expect_size=\"27172864\"] \n  40 [size=\"22228480\", alpha=\"0.04\", expect_size=\"8891392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77547520\", alpha=\"0.03\", expect_size=\"38773760\"] \n  1 -> 2 [size =\"38773760\"]\n  2 [size=\"49139712\", alpha=\"0.10\", expect_size=\"24569856\"] \n  2 -> 3 [size =\"24569856\"]\n  3 [size=\"103919616\", alpha=\"0.07\", expect_size=\"51959808\"] \n  3 -> 4 [size =\"51959808\"]\n  4 [size=\"35543040\", alpha=\"0.02\", expect_size=\"17771520\"] \n  4 -> 5 [size =\"17771520\"]\n  5 [size=\"84891648\", alpha=\"0.12\", expect_size=\"42445824\"] \n  5 -> 6 [size =\"42445824\"]\n  6 [size=\"70983680\", alpha=\"0.17\", expect_size=\"35491840\"] \n  6 -> 7 [size =\"35491840\"]\n  7 [size=\"46704640\", alpha=\"0.18\", expect_size=\"23352320\"] \n  7 -> 8 [size =\"23352320\"]\n  8 [size=\"79855616\", alpha=\"0.08\", expect_size=\"39927808\"] \n  8 -> 9 [size =\"39927808\"]\n  9 [size=\"45148160\", alpha=\"0.19\", expect_size=\"22574080\"] \n  9 -> 10 [size =\"22574080\"]\n  10 [size=\"83326976\", alpha=\"0.09\", expect_size=\"41663488\"] \n  10 -> 11 [size =\"41663488\"]\n  11 [size=\"10514432\", alpha=\"0.08\", expect_size=\"5257216\"] \n  11 -> 12 [size =\"5257216\"]\n  12 [size=\"23496704\", alpha=\"0.20\", expect_size=\"11748352\"] \n  12 -> 13 [size =\"11748352\"]\n  13 [size=\"70223872\", alpha=\"0.01\", expect_size=\"35111936\"] \n  13 -> 14 [size =\"35111936\"]\n  14 [size=\"101298176\", alpha=\"0.01\", expect_size=\"50649088\"] \n  14 -> 15 [size =\"50649088\"]\n  15 [size=\"16912384\", alpha=\"0.20\", expect_size=\"8456192\"] \n  15 -> 16 [size =\"8456192\"]\n  16 [size=\"73725952\", alpha=\"0.04\", expect_size=\"36862976\"] \n  16 -> 17 [size =\"36862976\"]\n  17 [size=\"61401088\", alpha=\"0.20\", expect_size=\"30700544\"] \n  17 -> 18 [size =\"30700544\"]\n  18 [size=\"50573312\", alpha=\"0.20\", expect_size=\"25286656\"] \n  18 -> 19 [size =\"25286656\"]\n  19 [size=\"89909248\", alpha=\"0.14\", expect_size=\"44954624\"] \n  19 -> 20 [size =\"44954624\"]\n  20 [size=\"85456896\", alpha=\"0.10\", expect_size=\"42728448\"] \n  20 -> 21 [size =\"42728448\"]\n  21 [size=\"31307776\", alpha=\"0.20\", expect_size=\"15653888\"] \n  21 -> 22 [size =\"15653888\"]\n  22 [size=\"70815744\", alpha=\"0.18\", expect_size=\"35407872\"] \n  22 -> 23 [size =\"35407872\"]\n  23 [size=\"69267456\", alpha=\"0.16\", expect_size=\"34633728\"] \n  23 -> 24 [size =\"34633728\"]\n  24 [size=\"74625024\", alpha=\"0.19\", expect_size=\"37312512\"] \n  24 -> 25 [size =\"37312512\"]\n  25 [size=\"80824320\", alpha=\"0.19\", expect_size=\"40412160\"] \n  25 -> 26 [size =\"40412160\"]\n  26 [size=\"80537600\", alpha=\"0.11\", expect_size=\"40268800\"] \n  26 -> 27 [size =\"40268800\"]\n  27 [size=\"99934208\", alpha=\"0.10\", expect_size=\"49967104\"] \n  27 -> 28 [size =\"49967104\"]\n  28 [size=\"97775616\", alpha=\"0.05\", expect_size=\"48887808\"] \n  28 -> 29 [size =\"48887808\"]\n  29 [size=\"97624064\", alpha=\"0.06\", expect_size=\"48812032\"] \n  29 -> 30 [size =\"48812032\"]\n  30 [size=\"67737600\", alpha=\"0.04\", expect_size=\"33868800\"] \n  30 -> 31 [size =\"33868800\"]\n  31 [size=\"18436096\", alpha=\"0.01\", expect_size=\"9218048\"] \n  31 -> 32 [size =\"9218048\"]\n  32 [size=\"16783360\", alpha=\"0.01\", expect_size=\"8391680\"] \n  32 -> 33 [size =\"8391680\"]\n  33 [size=\"101435392\", alpha=\"0.13\", expect_size=\"50717696\"] \n  33 -> 34 [size =\"50717696\"]\n  34 [size=\"82708480\", alpha=\"0.05\", expect_size=\"41354240\"] \n  34 -> 35 [size =\"41354240\"]\n  35 [size=\"80035840\", alpha=\"0.18\", expect_size=\"40017920\"] \n  35 -> 36 [size =\"40017920\"]\n  36 [size=\"73449472\", alpha=\"0.05\", expect_size=\"36724736\"] \n  36 -> 37 [size =\"36724736\"]\n  37 [size=\"29075456\", alpha=\"0.02\", expect_size=\"14537728\"] \n  37 -> 38 [size =\"14537728\"]\n  38 [size=\"77508608\", alpha=\"0.08\", expect_size=\"38754304\"] \n  38 -> 39 [size =\"38754304\"]\n  39 [size=\"99377152\", alpha=\"0.11\", expect_size=\"49688576\"] \n  39 -> 40 [size =\"49688576\"]\n  40 [size=\"34971648\", alpha=\"0.09\", expect_size=\"17485824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38940672\", alpha=\"0.10\", expect_size=\"19470336\"] \n  1 -> 14 [size =\"19470336\"]\n  1 -> 15 [size =\"19470336\"]\n  1 -> 16 [size =\"19470336\"]\n  1 -> 17 [size =\"19470336\"]\n  1 -> 19 [size =\"19470336\"]\n  1 -> 21 [size =\"19470336\"]\n  2 [size=\"87527424\", alpha=\"0.17\", expect_size=\"43763712\"] \n  2 -> 14 [size =\"43763712\"]\n  2 -> 15 [size =\"43763712\"]\n  2 -> 19 [size =\"43763712\"]\n  3 [size=\"14270464\", alpha=\"0.18\", expect_size=\"7135232\"] \n  3 -> 13 [size =\"7135232\"]\n  4 [size=\"31143936\", alpha=\"0.19\", expect_size=\"15571968\"] \n  4 -> 12 [size =\"15571968\"]\n  4 -> 13 [size =\"15571968\"]\n  4 -> 14 [size =\"15571968\"]\n  4 -> 16 [size =\"15571968\"]\n  4 -> 18 [size =\"15571968\"]\n  4 -> 19 [size =\"15571968\"]\n  4 -> 21 [size =\"15571968\"]\n  5 [size=\"61652992\", alpha=\"0.07\", expect_size=\"30826496\"] \n  5 -> 13 [size =\"30826496\"]\n  5 -> 14 [size =\"30826496\"]\n  6 [size=\"49000448\", alpha=\"0.18\", expect_size=\"24500224\"] \n  6 -> 18 [size =\"24500224\"]\n  6 -> 21 [size =\"24500224\"]\n  7 [size=\"59072512\", alpha=\"0.10\", expect_size=\"29536256\"] \n  7 -> 12 [size =\"29536256\"]\n  7 -> 16 [size =\"29536256\"]\n  7 -> 17 [size =\"29536256\"]\n  7 -> 19 [size =\"29536256\"]\n  7 -> 21 [size =\"29536256\"]\n  7 -> 22 [size =\"29536256\"]\n  8 [size=\"76156928\", alpha=\"0.16\", expect_size=\"38078464\"] \n  8 -> 18 [size =\"38078464\"]\n  8 -> 20 [size =\"38078464\"]\n  8 -> 22 [size =\"38078464\"]\n  9 [size=\"87599104\", alpha=\"0.13\", expect_size=\"43799552\"] \n  9 -> 13 [size =\"43799552\"]\n  9 -> 16 [size =\"43799552\"]\n  9 -> 17 [size =\"43799552\"]\n  9 -> 22 [size =\"43799552\"]\n  10 [size=\"17455104\", alpha=\"0.17\", expect_size=\"8727552\"] \n  10 -> 12 [size =\"8727552\"]\n  10 -> 13 [size =\"8727552\"]\n  10 -> 16 [size =\"8727552\"]\n  10 -> 17 [size =\"8727552\"]\n  10 -> 21 [size =\"8727552\"]\n  10 -> 22 [size =\"8727552\"]\n  11 [size=\"52199424\", alpha=\"0.06\", expect_size=\"26099712\"] \n  11 -> 13 [size =\"26099712\"]\n  11 -> 14 [size =\"26099712\"]\n  11 -> 15 [size =\"26099712\"]\n  11 -> 16 [size =\"26099712\"]\n  11 -> 17 [size =\"26099712\"]\n  11 -> 20 [size =\"26099712\"]\n  11 -> 21 [size =\"26099712\"]\n  11 -> 22 [size =\"26099712\"]\n  12 [size=\"101414912\", alpha=\"0.10\", expect_size=\"50707456\"] \n  12 -> 24 [size =\"50707456\"]\n  12 -> 25 [size =\"50707456\"]\n  12 -> 27 [size =\"50707456\"]\n  13 [size=\"86933504\", alpha=\"0.18\", expect_size=\"43466752\"] \n  13 -> 25 [size =\"43466752\"]\n  13 -> 26 [size =\"43466752\"]\n  13 -> 28 [size =\"43466752\"]\n  14 [size=\"76787712\", alpha=\"0.05\", expect_size=\"38393856\"] \n  14 -> 28 [size =\"38393856\"]\n  14 -> 29 [size =\"38393856\"]\n  14 -> 31 [size =\"38393856\"]\n  15 [size=\"71786496\", alpha=\"0.07\", expect_size=\"35893248\"] \n  15 -> 23 [size =\"35893248\"]\n  15 -> 26 [size =\"35893248\"]\n  15 -> 27 [size =\"35893248\"]\n  15 -> 29 [size =\"35893248\"]\n  15 -> 31 [size =\"35893248\"]\n  16 [size=\"103929856\", alpha=\"0.06\", expect_size=\"51964928\"] \n  16 -> 30 [size =\"51964928\"]\n  16 -> 31 [size =\"51964928\"]\n  17 [size=\"96235520\", alpha=\"0.18\", expect_size=\"48117760\"] \n  17 -> 23 [size =\"48117760\"]\n  17 -> 25 [size =\"48117760\"]\n  17 -> 30 [size =\"48117760\"]\n  17 -> 31 [size =\"48117760\"]\n  18 [size=\"51054592\", alpha=\"0.06\", expect_size=\"25527296\"] \n  18 -> 25 [size =\"25527296\"]\n  18 -> 30 [size =\"25527296\"]\n  19 [size=\"32692224\", alpha=\"0.05\", expect_size=\"16346112\"] \n  19 -> 26 [size =\"16346112\"]\n  19 -> 28 [size =\"16346112\"]\n  20 [size=\"96043008\", alpha=\"0.08\", expect_size=\"48021504\"] \n  20 -> 25 [size =\"48021504\"]\n  20 -> 31 [size =\"48021504\"]\n  20 -> 32 [size =\"48021504\"]\n  21 [size=\"82364416\", alpha=\"0.18\", expect_size=\"41182208\"] \n  21 -> 23 [size =\"41182208\"]\n  21 -> 26 [size =\"41182208\"]\n  21 -> 27 [size =\"41182208\"]\n  21 -> 31 [size =\"41182208\"]\n  22 [size=\"14780416\", alpha=\"0.04\", expect_size=\"7390208\"] \n  22 -> 24 [size =\"7390208\"]\n  22 -> 26 [size =\"7390208\"]\n  22 -> 27 [size =\"7390208\"]\n  22 -> 31 [size =\"7390208\"]\n  23 [size=\"63598592\", alpha=\"0.11\", expect_size=\"31799296\"] \n  23 -> 38 [size =\"31799296\"]\n  23 -> 39 [size =\"31799296\"]\n  24 [size=\"54532096\", alpha=\"0.02\", expect_size=\"27266048\"] \n  24 -> 33 [size =\"27266048\"]\n  24 -> 35 [size =\"27266048\"]\n  24 -> 37 [size =\"27266048\"]\n  24 -> 38 [size =\"27266048\"]\n  24 -> 39 [size =\"27266048\"]\n  25 [size=\"75935744\", alpha=\"0.04\", expect_size=\"37967872\"] \n  25 -> 34 [size =\"37967872\"]\n  25 -> 35 [size =\"37967872\"]\n  25 -> 38 [size =\"37967872\"]\n  25 -> 39 [size =\"37967872\"]\n  25 -> 39 [size =\"37967872\"]\n  25 -> 40 [size =\"37967872\"]\n  26 [size=\"13887488\", alpha=\"0.15\", expect_size=\"6943744\"] \n  26 -> 33 [size =\"6943744\"]\n  26 -> 34 [size =\"6943744\"]\n  26 -> 35 [size =\"6943744\"]\n  26 -> 37 [size =\"6943744\"]\n  26 -> 39 [size =\"6943744\"]\n  27 [size=\"44369920\", alpha=\"0.15\", expect_size=\"22184960\"] \n  27 -> 33 [size =\"22184960\"]\n  27 -> 35 [size =\"22184960\"]\n  27 -> 37 [size =\"22184960\"]\n  27 -> 40 [size =\"22184960\"]\n  28 [size=\"36536320\", alpha=\"0.10\", expect_size=\"18268160\"] \n  28 -> 34 [size =\"18268160\"]\n  28 -> 37 [size =\"18268160\"]\n  28 -> 40 [size =\"18268160\"]\n  29 [size=\"64411648\", alpha=\"0.01\", expect_size=\"32205824\"] \n  29 -> 33 [size =\"32205824\"]\n  29 -> 37 [size =\"32205824\"]\n  29 -> 40 [size =\"32205824\"]\n  30 [size=\"86208512\", alpha=\"0.13\", expect_size=\"43104256\"] \n  30 -> 37 [size =\"43104256\"]\n  31 [size=\"31223808\", alpha=\"0.14\", expect_size=\"15611904\"] \n  31 -> 33 [size =\"15611904\"]\n  31 -> 36 [size =\"15611904\"]\n  32 [size=\"22290432\", alpha=\"0.14\", expect_size=\"11145216\"] \n  32 -> 39 [size =\"11145216\"]\n  33 [size=\"42072064\", alpha=\"0.11\", expect_size=\"21036032\"] \n  34 [size=\"94359552\", alpha=\"0.02\", expect_size=\"47179776\"] \n  35 [size=\"11063296\", alpha=\"0.05\", expect_size=\"5531648\"] \n  36 [size=\"32098304\", alpha=\"0.09\", expect_size=\"16049152\"] \n  37 [size=\"101609472\", alpha=\"0.11\", expect_size=\"50804736\"] \n  38 [size=\"79437824\", alpha=\"0.01\", expect_size=\"39718912\"] \n  39 [size=\"31256576\", alpha=\"0.16\", expect_size=\"15628288\"] \n  40 [size=\"34179072\", alpha=\"0.09\", expect_size=\"17089536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94528853\", alpha=\"0.02\", expect_size=\"28358656\"] \n  2 [size=\"90603520\", alpha=\"0.13\", expect_size=\"27181056\"] \n  2 -> 3 [size =\"27181056\"]\n  2 -> 4 [size =\"27181056\"]\n  2 -> 5 [size =\"27181056\"]\n  3 [size=\"98461013\", alpha=\"0.03\", expect_size=\"29538304\"] \n  3 -> 6 [size =\"29538304\"]\n  3 -> 7 [size =\"29538304\"]\n  4 [size=\"109482667\", alpha=\"0.02\", expect_size=\"32844800\"] \n  4 -> 7 [size =\"32844800\"]\n  5 [size=\"128423253\", alpha=\"0.03\", expect_size=\"38526976\"] \n  6 [size=\"19176107\", alpha=\"0.03\", expect_size=\"5752832\"] \n  6 -> 8 [size =\"5752832\"]\n  6 -> 9 [size =\"5752832\"]\n  6 -> 10 [size =\"5752832\"]\n  7 [size=\"40622080\", alpha=\"0.01\", expect_size=\"12186624\"] \n  8 [size=\"123883520\", alpha=\"0.04\", expect_size=\"37165056\"] \n  8 -> 11 [size =\"37165056\"]\n  8 -> 12 [size =\"37165056\"]\n  9 [size=\"161017173\", alpha=\"0.18\", expect_size=\"48305152\"] \n  9 -> 13 [size =\"48305152\"]\n  10 [size=\"157177173\", alpha=\"0.16\", expect_size=\"47153152\"] \n  10 -> 11 [size =\"47153152\"]\n  11 [size=\"92221440\", alpha=\"0.18\", expect_size=\"27666432\"] \n  11 -> 14 [size =\"27666432\"]\n  12 [size=\"106519893\", alpha=\"0.08\", expect_size=\"31955968\"] \n  12 -> 16 [size =\"31955968\"]\n  13 [size=\"48663893\", alpha=\"0.03\", expect_size=\"14599168\"] \n  13 -> 15 [size =\"14599168\"]\n  13 -> 16 [size =\"14599168\"]\n  14 [size=\"76025173\", alpha=\"0.17\", expect_size=\"22807552\"] \n  14 -> 17 [size =\"22807552\"]\n  15 [size=\"89425920\", alpha=\"0.01\", expect_size=\"26827776\"] \n  15 -> 19 [size =\"26827776\"]\n  16 [size=\"115828053\", alpha=\"0.11\", expect_size=\"34748416\"] \n  16 -> 17 [size =\"34748416\"]\n  16 -> 18 [size =\"34748416\"]\n  17 [size=\"141701120\", alpha=\"0.20\", expect_size=\"42510336\"] \n  17 -> 21 [size =\"42510336\"]\n  18 [size=\"149128533\", alpha=\"0.04\", expect_size=\"44738560\"] \n  18 -> 20 [size =\"44738560\"]\n  19 [size=\"23101440\", alpha=\"0.04\", expect_size=\"6930432\"] \n  20 [size=\"168151040\", alpha=\"0.16\", expect_size=\"50445312\"] \n  20 -> 22 [size =\"50445312\"]\n  21 [size=\"134918827\", alpha=\"0.17\", expect_size=\"40475648\"] \n  21 -> 23 [size =\"40475648\"]\n  22 [size=\"117295787\", alpha=\"0.09\", expect_size=\"35188736\"] \n  22 -> 25 [size =\"35188736\"]\n  23 [size=\"23736320\", alpha=\"0.10\", expect_size=\"7120896\"] \n  23 -> 24 [size =\"7120896\"]\n  23 -> 26 [size =\"7120896\"]\n  24 [size=\"49237333\", alpha=\"0.03\", expect_size=\"14771200\"] \n  24 -> 28 [size =\"14771200\"]\n  24 -> 29 [size =\"14771200\"]\n  25 [size=\"26289493\", alpha=\"0.10\", expect_size=\"7886848\"] \n  25 -> 27 [size =\"7886848\"]\n  26 [size=\"30545920\", alpha=\"0.17\", expect_size=\"9163776\"] \n  26 -> 28 [size =\"9163776\"]\n  27 [size=\"116165973\", alpha=\"0.08\", expect_size=\"34849792\"] \n  27 -> 31 [size =\"34849792\"]\n  27 -> 32 [size =\"34849792\"]\n  28 [size=\"115858773\", alpha=\"0.12\", expect_size=\"34757632\"] \n  28 -> 30 [size =\"34757632\"]\n  28 -> 32 [size =\"34757632\"]\n  29 [size=\"150046720\", alpha=\"0.14\", expect_size=\"45014016\"] \n  30 [size=\"22357333\", alpha=\"0.14\", expect_size=\"6707200\"] \n  30 -> 33 [size =\"6707200\"]\n  30 -> 34 [size =\"6707200\"]\n  30 -> 35 [size =\"6707200\"]\n  31 [size=\"145954133\", alpha=\"0.03\", expect_size=\"43786240\"] \n  31 -> 34 [size =\"43786240\"]\n  32 [size=\"126030507\", alpha=\"0.04\", expect_size=\"37809152\"] \n  32 -> 33 [size =\"37809152\"]\n  33 [size=\"35720533\", alpha=\"0.08\", expect_size=\"10716160\"] \n  33 -> 37 [size =\"10716160\"]\n  33 -> 38 [size =\"10716160\"]\n  34 [size=\"113295360\", alpha=\"0.00\", expect_size=\"33988608\"] \n  34 -> 36 [size =\"33988608\"]\n  34 -> 37 [size =\"33988608\"]\n  35 [size=\"136192000\", alpha=\"0.02\", expect_size=\"40857600\"] \n  35 -> 36 [size =\"40857600\"]\n  36 [size=\"58067627\", alpha=\"0.15\", expect_size=\"17420288\"] \n  37 [size=\"37911893\", alpha=\"0.05\", expect_size=\"11373568\"] \n  37 -> 40 [size =\"11373568\"]\n  38 [size=\"98867200\", alpha=\"0.11\", expect_size=\"29660160\"] \n  38 -> 39 [size =\"29660160\"]\n  38 -> 40 [size =\"29660160\"]\n  39 [size=\"32778240\", alpha=\"0.18\", expect_size=\"9833472\"] \n  40 [size=\"140472320\", alpha=\"0.04\", expect_size=\"42141696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106529280\", alpha=\"0.13\", expect_size=\"42611712\"] \n  2 [size=\"57198080\", alpha=\"0.08\", expect_size=\"22879232\"] \n  2 -> 39 [size =\"22879232\"]\n  3 [size=\"54184960\", alpha=\"0.01\", expect_size=\"21673984\"] \n  3 -> 36 [size =\"21673984\"]\n  4 [size=\"38458880\", alpha=\"0.17\", expect_size=\"15383552\"] \n  4 -> 36 [size =\"15383552\"]\n  5 [size=\"108810240\", alpha=\"0.08\", expect_size=\"43524096\"] \n  5 -> 36 [size =\"43524096\"]\n  5 -> 38 [size =\"43524096\"]\n  6 [size=\"30848000\", alpha=\"0.05\", expect_size=\"12339200\"] \n  7 [size=\"28738560\", alpha=\"0.09\", expect_size=\"11495424\"] \n  7 -> 38 [size =\"11495424\"]\n  7 -> 39 [size =\"11495424\"]\n  8 [size=\"53800960\", alpha=\"0.13\", expect_size=\"21520384\"] \n  8 -> 36 [size =\"21520384\"]\n  8 -> 38 [size =\"21520384\"]\n  9 [size=\"108464640\", alpha=\"0.10\", expect_size=\"43385856\"] \n  9 -> 38 [size =\"43385856\"]\n  9 -> 40 [size =\"43385856\"]\n  10 [size=\"81047040\", alpha=\"0.10\", expect_size=\"32418816\"] \n  10 -> 36 [size =\"32418816\"]\n  10 -> 40 [size =\"32418816\"]\n  11 [size=\"90447360\", alpha=\"0.00\", expect_size=\"36178944\"] \n  11 -> 36 [size =\"36178944\"]\n  12 [size=\"51873280\", alpha=\"0.05\", expect_size=\"20749312\"] \n  13 [size=\"100318720\", alpha=\"0.06\", expect_size=\"40127488\"] \n  14 [size=\"107909120\", alpha=\"0.10\", expect_size=\"43163648\"] \n  14 -> 39 [size =\"43163648\"]\n  15 [size=\"87746560\", alpha=\"0.07\", expect_size=\"35098624\"] \n  15 -> 36 [size =\"35098624\"]\n  16 [size=\"18580480\", alpha=\"0.12\", expect_size=\"7432192\"] \n  16 -> 35 [size =\"7432192\"]\n  16 -> 38 [size =\"7432192\"]\n  17 [size=\"47132160\", alpha=\"0.03\", expect_size=\"18852864\"] \n  17 -> 36 [size =\"18852864\"]\n  17 -> 39 [size =\"18852864\"]\n  18 [size=\"98222080\", alpha=\"0.13\", expect_size=\"39288832\"] \n  18 -> 36 [size =\"39288832\"]\n  18 -> 39 [size =\"39288832\"]\n  19 [size=\"59297280\", alpha=\"0.07\", expect_size=\"23718912\"] \n  19 -> 35 [size =\"23718912\"]\n  19 -> 36 [size =\"23718912\"]\n  19 -> 40 [size =\"23718912\"]\n  20 [size=\"120778240\", alpha=\"0.05\", expect_size=\"48311296\"] \n  20 -> 35 [size =\"48311296\"]\n  20 -> 36 [size =\"48311296\"]\n  21 [size=\"61644800\", alpha=\"0.20\", expect_size=\"24657920\"] \n  21 -> 36 [size =\"24657920\"]\n  21 -> 37 [size =\"24657920\"]\n  22 [size=\"63050240\", alpha=\"0.01\", expect_size=\"25220096\"] \n  23 [size=\"93857280\", alpha=\"0.10\", expect_size=\"37542912\"] \n  24 [size=\"127329280\", alpha=\"0.03\", expect_size=\"50931712\"] \n  25 [size=\"66780160\", alpha=\"0.13\", expect_size=\"26712064\"] \n  25 -> 38 [size =\"26712064\"]\n  26 [size=\"109506560\", alpha=\"0.05\", expect_size=\"43802624\"] \n  26 -> 35 [size =\"43802624\"]\n  27 [size=\"62318080\", alpha=\"0.20\", expect_size=\"24927232\"] \n  28 [size=\"78773760\", alpha=\"0.02\", expect_size=\"31509504\"] \n  28 -> 38 [size =\"31509504\"]\n  28 -> 40 [size =\"31509504\"]\n  29 [size=\"35660800\", alpha=\"0.19\", expect_size=\"14264320\"] \n  29 -> 36 [size =\"14264320\"]\n  29 -> 38 [size =\"14264320\"]\n  29 -> 40 [size =\"14264320\"]\n  30 [size=\"76692480\", alpha=\"0.09\", expect_size=\"30676992\"] \n  30 -> 36 [size =\"30676992\"]\n  30 -> 38 [size =\"30676992\"]\n  31 [size=\"108610560\", alpha=\"0.12\", expect_size=\"43444224\"] \n  31 -> 38 [size =\"43444224\"]\n  31 -> 39 [size =\"43444224\"]\n  31 -> 40 [size =\"43444224\"]\n  32 [size=\"106877440\", alpha=\"0.01\", expect_size=\"42750976\"] \n  32 -> 35 [size =\"42750976\"]\n  32 -> 38 [size =\"42750976\"]\n  33 [size=\"115581440\", alpha=\"0.05\", expect_size=\"46232576\"] \n  33 -> 36 [size =\"46232576\"]\n  33 -> 37 [size =\"46232576\"]\n  34 [size=\"57840640\", alpha=\"0.05\", expect_size=\"23136256\"] \n  34 -> 38 [size =\"23136256\"]\n  35 [size=\"76971520\", alpha=\"0.18\", expect_size=\"30788608\"] \n  36 [size=\"32747520\", alpha=\"0.11\", expect_size=\"13099008\"] \n  37 [size=\"60879360\", alpha=\"0.11\", expect_size=\"24351744\"] \n  38 [size=\"59031040\", alpha=\"0.04\", expect_size=\"23612416\"] \n  39 [size=\"67904000\", alpha=\"0.06\", expect_size=\"27161600\"] \n  40 [size=\"64888320\", alpha=\"0.06\", expect_size=\"25955328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129979733\", alpha=\"0.17\", expect_size=\"38993920\"] \n  1 -> 2 [size =\"38993920\"]\n  2 [size=\"52090880\", alpha=\"0.13\", expect_size=\"15627264\"] \n  2 -> 3 [size =\"15627264\"]\n  3 [size=\"98324480\", alpha=\"0.17\", expect_size=\"29497344\"] \n  3 -> 4 [size =\"29497344\"]\n  4 [size=\"39116800\", alpha=\"0.03\", expect_size=\"11735040\"] \n  4 -> 5 [size =\"11735040\"]\n  5 [size=\"140957013\", alpha=\"0.04\", expect_size=\"42287104\"] \n  5 -> 6 [size =\"42287104\"]\n  6 [size=\"55084373\", alpha=\"0.09\", expect_size=\"16525312\"] \n  6 -> 7 [size =\"16525312\"]\n  7 [size=\"150173013\", alpha=\"0.13\", expect_size=\"45051904\"] \n  7 -> 8 [size =\"45051904\"]\n  8 [size=\"174656853\", alpha=\"0.16\", expect_size=\"52397056\"] \n  8 -> 9 [size =\"52397056\"]\n  9 [size=\"104458240\", alpha=\"0.19\", expect_size=\"31337472\"] \n  9 -> 10 [size =\"31337472\"]\n  10 [size=\"84032853\", alpha=\"0.12\", expect_size=\"25209856\"] \n  10 -> 11 [size =\"25209856\"]\n  11 [size=\"136062293\", alpha=\"0.07\", expect_size=\"40818688\"] \n  11 -> 12 [size =\"40818688\"]\n  12 [size=\"115831467\", alpha=\"0.01\", expect_size=\"34749440\"] \n  12 -> 13 [size =\"34749440\"]\n  13 [size=\"63651840\", alpha=\"0.10\", expect_size=\"19095552\"] \n  13 -> 14 [size =\"19095552\"]\n  14 [size=\"40093013\", alpha=\"0.00\", expect_size=\"12027904\"] \n  14 -> 15 [size =\"12027904\"]\n  15 [size=\"60726613\", alpha=\"0.08\", expect_size=\"18217984\"] \n  15 -> 16 [size =\"18217984\"]\n  16 [size=\"95791787\", alpha=\"0.07\", expect_size=\"28737536\"] \n  16 -> 17 [size =\"28737536\"]\n  17 [size=\"167567360\", alpha=\"0.01\", expect_size=\"50270208\"] \n  17 -> 18 [size =\"50270208\"]\n  18 [size=\"115107840\", alpha=\"0.13\", expect_size=\"34532352\"] \n  18 -> 19 [size =\"34532352\"]\n  19 [size=\"81063253\", alpha=\"0.17\", expect_size=\"24318976\"] \n  19 -> 20 [size =\"24318976\"]\n  20 [size=\"72079360\", alpha=\"0.10\", expect_size=\"21623808\"] \n  20 -> 21 [size =\"21623808\"]\n  21 [size=\"167116800\", alpha=\"0.18\", expect_size=\"50135040\"] \n  21 -> 22 [size =\"50135040\"]\n  22 [size=\"64907947\", alpha=\"0.10\", expect_size=\"19472384\"] \n  22 -> 23 [size =\"19472384\"]\n  23 [size=\"69632000\", alpha=\"0.13\", expect_size=\"20889600\"] \n  23 -> 24 [size =\"20889600\"]\n  24 [size=\"146397867\", alpha=\"0.18\", expect_size=\"43919360\"] \n  24 -> 25 [size =\"43919360\"]\n  25 [size=\"148449280\", alpha=\"0.19\", expect_size=\"44534784\"] \n  25 -> 26 [size =\"44534784\"]\n  26 [size=\"50589013\", alpha=\"0.05\", expect_size=\"15176704\"] \n  26 -> 27 [size =\"15176704\"]\n  27 [size=\"109120853\", alpha=\"0.08\", expect_size=\"32736256\"] \n  27 -> 28 [size =\"32736256\"]\n  28 [size=\"120634027\", alpha=\"0.10\", expect_size=\"36190208\"] \n  28 -> 29 [size =\"36190208\"]\n  29 [size=\"69495467\", alpha=\"0.04\", expect_size=\"20848640\"] \n  29 -> 30 [size =\"20848640\"]\n  30 [size=\"42765653\", alpha=\"0.06\", expect_size=\"12829696\"] \n  30 -> 31 [size =\"12829696\"]\n  31 [size=\"122876587\", alpha=\"0.04\", expect_size=\"36862976\"] \n  31 -> 32 [size =\"36862976\"]\n  32 [size=\"107762347\", alpha=\"0.13\", expect_size=\"32328704\"] \n  32 -> 33 [size =\"32328704\"]\n  33 [size=\"32037547\", alpha=\"0.09\", expect_size=\"9611264\"] \n  33 -> 34 [size =\"9611264\"]\n  34 [size=\"133836800\", alpha=\"0.08\", expect_size=\"40151040\"] \n  34 -> 35 [size =\"40151040\"]\n  35 [size=\"120234667\", alpha=\"0.12\", expect_size=\"36070400\"] \n  35 -> 36 [size =\"36070400\"]\n  36 [size=\"114705067\", alpha=\"0.06\", expect_size=\"34411520\"] \n  36 -> 37 [size =\"34411520\"]\n  37 [size=\"154866347\", alpha=\"0.19\", expect_size=\"46459904\"] \n  37 -> 38 [size =\"46459904\"]\n  38 [size=\"58839040\", alpha=\"0.04\", expect_size=\"17651712\"] \n  38 -> 39 [size =\"17651712\"]\n  39 [size=\"141096960\", alpha=\"0.18\", expect_size=\"42329088\"] \n  39 -> 40 [size =\"42329088\"]\n  40 [size=\"174045867\", alpha=\"0.18\", expect_size=\"52213760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39608320\", alpha=\"0.01\", expect_size=\"11882496\"] \n  1 -> 2 [size =\"11882496\"]\n  2 [size=\"166280533\", alpha=\"0.17\", expect_size=\"49884160\"] \n  2 -> 3 [size =\"49884160\"]\n  3 [size=\"42127360\", alpha=\"0.01\", expect_size=\"12638208\"] \n  3 -> 4 [size =\"12638208\"]\n  4 [size=\"121859413\", alpha=\"0.10\", expect_size=\"36557824\"] \n  4 -> 5 [size =\"36557824\"]\n  5 [size=\"82892800\", alpha=\"0.16\", expect_size=\"24867840\"] \n  5 -> 6 [size =\"24867840\"]\n  6 [size=\"68536320\", alpha=\"0.09\", expect_size=\"20560896\"] \n  6 -> 7 [size =\"20560896\"]\n  7 [size=\"66973013\", alpha=\"0.16\", expect_size=\"20091904\"] \n  7 -> 8 [size =\"20091904\"]\n  8 [size=\"126907733\", alpha=\"0.17\", expect_size=\"38072320\"] \n  8 -> 9 [size =\"38072320\"]\n  9 [size=\"29842773\", alpha=\"0.17\", expect_size=\"8952832\"] \n  9 -> 10 [size =\"8952832\"]\n  10 [size=\"51756373\", alpha=\"0.08\", expect_size=\"15526912\"] \n  10 -> 11 [size =\"15526912\"]\n  11 [size=\"84619947\", alpha=\"0.01\", expect_size=\"25385984\"] \n  11 -> 12 [size =\"25385984\"]\n  12 [size=\"95788373\", alpha=\"0.15\", expect_size=\"28736512\"] \n  12 -> 13 [size =\"28736512\"]\n  13 [size=\"71959893\", alpha=\"0.12\", expect_size=\"21587968\"] \n  13 -> 14 [size =\"21587968\"]\n  14 [size=\"80759467\", alpha=\"0.07\", expect_size=\"24227840\"] \n  14 -> 15 [size =\"24227840\"]\n  15 [size=\"155968853\", alpha=\"0.16\", expect_size=\"46790656\"] \n  15 -> 16 [size =\"46790656\"]\n  16 [size=\"125808640\", alpha=\"0.08\", expect_size=\"37742592\"] \n  16 -> 17 [size =\"37742592\"]\n  17 [size=\"40342187\", alpha=\"0.07\", expect_size=\"12102656\"] \n  17 -> 18 [size =\"12102656\"]\n  18 [size=\"164485120\", alpha=\"0.12\", expect_size=\"49345536\"] \n  18 -> 19 [size =\"49345536\"]\n  19 [size=\"141574827\", alpha=\"0.18\", expect_size=\"42472448\"] \n  19 -> 20 [size =\"42472448\"]\n  20 [size=\"114653867\", alpha=\"0.01\", expect_size=\"34396160\"] \n  20 -> 21 [size =\"34396160\"]\n  21 [size=\"19408213\", alpha=\"0.06\", expect_size=\"5822464\"] \n  21 -> 22 [size =\"5822464\"]\n  22 [size=\"29238613\", alpha=\"0.10\", expect_size=\"8771584\"] \n  22 -> 23 [size =\"8771584\"]\n  23 [size=\"149831680\", alpha=\"0.18\", expect_size=\"44949504\"] \n  23 -> 24 [size =\"44949504\"]\n  24 [size=\"88620373\", alpha=\"0.18\", expect_size=\"26586112\"] \n  24 -> 25 [size =\"26586112\"]\n  25 [size=\"142697813\", alpha=\"0.07\", expect_size=\"42809344\"] \n  25 -> 26 [size =\"42809344\"]\n  26 [size=\"114401280\", alpha=\"0.02\", expect_size=\"34320384\"] \n  26 -> 27 [size =\"34320384\"]\n  27 [size=\"174475947\", alpha=\"0.04\", expect_size=\"52342784\"] \n  27 -> 28 [size =\"52342784\"]\n  28 [size=\"69485227\", alpha=\"0.20\", expect_size=\"20845568\"] \n  28 -> 29 [size =\"20845568\"]\n  29 [size=\"160942080\", alpha=\"0.17\", expect_size=\"48282624\"] \n  29 -> 30 [size =\"48282624\"]\n  30 [size=\"148510720\", alpha=\"0.18\", expect_size=\"44553216\"] \n  30 -> 31 [size =\"44553216\"]\n  31 [size=\"155159893\", alpha=\"0.08\", expect_size=\"46547968\"] \n  31 -> 32 [size =\"46547968\"]\n  32 [size=\"45738667\", alpha=\"0.08\", expect_size=\"13721600\"] \n  32 -> 33 [size =\"13721600\"]\n  33 [size=\"126341120\", alpha=\"0.15\", expect_size=\"37902336\"] \n  33 -> 34 [size =\"37902336\"]\n  34 [size=\"107042133\", alpha=\"0.10\", expect_size=\"32112640\"] \n  34 -> 35 [size =\"32112640\"]\n  35 [size=\"92231680\", alpha=\"0.03\", expect_size=\"27669504\"] \n  35 -> 36 [size =\"27669504\"]\n  36 [size=\"147329707\", alpha=\"0.09\", expect_size=\"44198912\"] \n  36 -> 37 [size =\"44198912\"]\n  37 [size=\"166103040\", alpha=\"0.19\", expect_size=\"49830912\"] \n  37 -> 38 [size =\"49830912\"]\n  38 [size=\"40768853\", alpha=\"0.07\", expect_size=\"12230656\"] \n  38 -> 39 [size =\"12230656\"]\n  39 [size=\"38048427\", alpha=\"0.10\", expect_size=\"11414528\"] \n  39 -> 40 [size =\"11414528\"]\n  40 [size=\"170308267\", alpha=\"0.06\", expect_size=\"51092480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29064533\", alpha=\"0.06\", expect_size=\"8719360\"] \n  1 -> 2 [size =\"8719360\"]\n  2 [size=\"124566187\", alpha=\"0.11\", expect_size=\"37369856\"] \n  2 -> 3 [size =\"37369856\"]\n  3 [size=\"144844800\", alpha=\"0.06\", expect_size=\"43453440\"] \n  3 -> 4 [size =\"43453440\"]\n  4 [size=\"127883947\", alpha=\"0.17\", expect_size=\"38365184\"] \n  4 -> 5 [size =\"38365184\"]\n  5 [size=\"105745067\", alpha=\"0.08\", expect_size=\"31723520\"] \n  5 -> 6 [size =\"31723520\"]\n  6 [size=\"84698453\", alpha=\"0.20\", expect_size=\"25409536\"] \n  6 -> 7 [size =\"25409536\"]\n  7 [size=\"65669120\", alpha=\"0.09\", expect_size=\"19700736\"] \n  7 -> 8 [size =\"19700736\"]\n  8 [size=\"161713493\", alpha=\"0.19\", expect_size=\"48514048\"] \n  8 -> 9 [size =\"48514048\"]\n  9 [size=\"38604800\", alpha=\"0.15\", expect_size=\"11581440\"] \n  9 -> 10 [size =\"11581440\"]\n  10 [size=\"103864320\", alpha=\"0.05\", expect_size=\"31159296\"] \n  10 -> 11 [size =\"31159296\"]\n  11 [size=\"40168107\", alpha=\"0.17\", expect_size=\"12050432\"] \n  11 -> 12 [size =\"12050432\"]\n  12 [size=\"84285440\", alpha=\"0.02\", expect_size=\"25285632\"] \n  12 -> 13 [size =\"25285632\"]\n  13 [size=\"169349120\", alpha=\"0.07\", expect_size=\"50804736\"] \n  13 -> 14 [size =\"50804736\"]\n  14 [size=\"55565653\", alpha=\"0.16\", expect_size=\"16669696\"] \n  14 -> 15 [size =\"16669696\"]\n  15 [size=\"30941867\", alpha=\"0.08\", expect_size=\"9282560\"] \n  15 -> 16 [size =\"9282560\"]\n  16 [size=\"96358400\", alpha=\"0.01\", expect_size=\"28907520\"] \n  16 -> 17 [size =\"28907520\"]\n  17 [size=\"93880320\", alpha=\"0.06\", expect_size=\"28164096\"] \n  17 -> 18 [size =\"28164096\"]\n  18 [size=\"163928747\", alpha=\"0.14\", expect_size=\"49178624\"] \n  18 -> 19 [size =\"49178624\"]\n  19 [size=\"158487893\", alpha=\"0.06\", expect_size=\"47546368\"] \n  19 -> 20 [size =\"47546368\"]\n  20 [size=\"121292800\", alpha=\"0.08\", expect_size=\"36387840\"] \n  20 -> 21 [size =\"36387840\"]\n  21 [size=\"159566507\", alpha=\"0.12\", expect_size=\"47869952\"] \n  21 -> 22 [size =\"47869952\"]\n  22 [size=\"135219200\", alpha=\"0.09\", expect_size=\"40565760\"] \n  22 -> 23 [size =\"40565760\"]\n  23 [size=\"149002240\", alpha=\"0.02\", expect_size=\"44700672\"] \n  23 -> 24 [size =\"44700672\"]\n  24 [size=\"44253867\", alpha=\"0.10\", expect_size=\"13276160\"] \n  24 -> 25 [size =\"13276160\"]\n  25 [size=\"169127253\", alpha=\"0.09\", expect_size=\"50738176\"] \n  25 -> 26 [size =\"50738176\"]\n  26 [size=\"75362987\", alpha=\"0.16\", expect_size=\"22608896\"] \n  26 -> 27 [size =\"22608896\"]\n  27 [size=\"84643840\", alpha=\"0.09\", expect_size=\"25393152\"] \n  27 -> 28 [size =\"25393152\"]\n  28 [size=\"130092373\", alpha=\"0.01\", expect_size=\"39027712\"] \n  28 -> 29 [size =\"39027712\"]\n  29 [size=\"86053547\", alpha=\"0.16\", expect_size=\"25816064\"] \n  29 -> 30 [size =\"25816064\"]\n  30 [size=\"130751147\", alpha=\"0.01\", expect_size=\"39225344\"] \n  30 -> 31 [size =\"39225344\"]\n  31 [size=\"35502080\", alpha=\"0.09\", expect_size=\"10650624\"] \n  31 -> 32 [size =\"10650624\"]\n  32 [size=\"126464000\", alpha=\"0.06\", expect_size=\"37939200\"] \n  32 -> 33 [size =\"37939200\"]\n  33 [size=\"38874453\", alpha=\"0.02\", expect_size=\"11662336\"] \n  33 -> 34 [size =\"11662336\"]\n  34 [size=\"57391787\", alpha=\"0.03\", expect_size=\"17217536\"] \n  34 -> 35 [size =\"17217536\"]\n  35 [size=\"135133867\", alpha=\"0.06\", expect_size=\"40540160\"] \n  35 -> 36 [size =\"40540160\"]\n  36 [size=\"45800107\", alpha=\"0.19\", expect_size=\"13740032\"] \n  36 -> 37 [size =\"13740032\"]\n  37 [size=\"171192320\", alpha=\"0.01\", expect_size=\"51357696\"] \n  37 -> 38 [size =\"51357696\"]\n  38 [size=\"87644160\", alpha=\"0.02\", expect_size=\"26293248\"] \n  38 -> 39 [size =\"26293248\"]\n  39 [size=\"96675840\", alpha=\"0.01\", expect_size=\"29002752\"] \n  39 -> 40 [size =\"29002752\"]\n  40 [size=\"62143147\", alpha=\"0.13\", expect_size=\"18642944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80486400\", alpha=\"0.03\", expect_size=\"32194560\"] \n  1 -> 25 [size =\"32194560\"]\n  2 [size=\"28899840\", alpha=\"0.16\", expect_size=\"11559936\"] \n  2 -> 19 [size =\"11559936\"]\n  2 -> 22 [size =\"11559936\"]\n  2 -> 25 [size =\"11559936\"]\n  2 -> 26 [size =\"11559936\"]\n  3 [size=\"95173120\", alpha=\"0.00\", expect_size=\"38069248\"] \n  3 -> 17 [size =\"38069248\"]\n  3 -> 25 [size =\"38069248\"]\n  3 -> 26 [size =\"38069248\"]\n  4 [size=\"120253440\", alpha=\"0.05\", expect_size=\"48101376\"] \n  4 -> 16 [size =\"48101376\"]\n  4 -> 25 [size =\"48101376\"]\n  4 -> 26 [size =\"48101376\"]\n  5 [size=\"77562880\", alpha=\"0.15\", expect_size=\"31025152\"] \n  5 -> 21 [size =\"31025152\"]\n  5 -> 25 [size =\"31025152\"]\n  5 -> 26 [size =\"31025152\"]\n  6 [size=\"45726720\", alpha=\"0.14\", expect_size=\"18290688\"] \n  6 -> 16 [size =\"18290688\"]\n  6 -> 18 [size =\"18290688\"]\n  6 -> 19 [size =\"18290688\"]\n  6 -> 22 [size =\"18290688\"]\n  6 -> 25 [size =\"18290688\"]\n  7 [size=\"67983360\", alpha=\"0.06\", expect_size=\"27193344\"] \n  7 -> 16 [size =\"27193344\"]\n  7 -> 17 [size =\"27193344\"]\n  7 -> 18 [size =\"27193344\"]\n  7 -> 23 [size =\"27193344\"]\n  7 -> 25 [size =\"27193344\"]\n  8 [size=\"51120640\", alpha=\"0.10\", expect_size=\"20448256\"] \n  8 -> 18 [size =\"20448256\"]\n  8 -> 21 [size =\"20448256\"]\n  8 -> 25 [size =\"20448256\"]\n  9 [size=\"103472640\", alpha=\"0.12\", expect_size=\"41389056\"] \n  9 -> 18 [size =\"41389056\"]\n  9 -> 20 [size =\"41389056\"]\n  9 -> 23 [size =\"41389056\"]\n  9 -> 26 [size =\"41389056\"]\n  10 [size=\"111910400\", alpha=\"0.19\", expect_size=\"44764160\"] \n  10 -> 16 [size =\"44764160\"]\n  10 -> 17 [size =\"44764160\"]\n  10 -> 18 [size =\"44764160\"]\n  10 -> 20 [size =\"44764160\"]\n  10 -> 23 [size =\"44764160\"]\n  10 -> 24 [size =\"44764160\"]\n  10 -> 27 [size =\"44764160\"]\n  11 [size=\"77752320\", alpha=\"0.12\", expect_size=\"31100928\"] \n  11 -> 16 [size =\"31100928\"]\n  11 -> 17 [size =\"31100928\"]\n  11 -> 18 [size =\"31100928\"]\n  11 -> 20 [size =\"31100928\"]\n  11 -> 23 [size =\"31100928\"]\n  11 -> 24 [size =\"31100928\"]\n  12 [size=\"93944320\", alpha=\"0.17\", expect_size=\"37577728\"] \n  12 -> 18 [size =\"37577728\"]\n  12 -> 20 [size =\"37577728\"]\n  12 -> 21 [size =\"37577728\"]\n  12 -> 22 [size =\"37577728\"]\n  12 -> 23 [size =\"37577728\"]\n  12 -> 24 [size =\"37577728\"]\n  13 [size=\"69009920\", alpha=\"0.00\", expect_size=\"27603968\"] \n  13 -> 20 [size =\"27603968\"]\n  13 -> 23 [size =\"27603968\"]\n  13 -> 24 [size =\"27603968\"]\n  14 [size=\"69726720\", alpha=\"0.15\", expect_size=\"27890688\"] \n  14 -> 16 [size =\"27890688\"]\n  14 -> 20 [size =\"27890688\"]\n  14 -> 24 [size =\"27890688\"]\n  15 [size=\"97986560\", alpha=\"0.12\", expect_size=\"39194624\"] \n  15 -> 20 [size =\"39194624\"]\n  15 -> 24 [size =\"39194624\"]\n  16 [size=\"69598720\", alpha=\"0.13\", expect_size=\"27839488\"] \n  16 -> 28 [size =\"27839488\"]\n  16 -> 30 [size =\"27839488\"]\n  16 -> 31 [size =\"27839488\"]\n  16 -> 38 [size =\"27839488\"]\n  16 -> 39 [size =\"27839488\"]\n  16 -> 40 [size =\"27839488\"]\n  17 [size=\"34856960\", alpha=\"0.04\", expect_size=\"13942784\"] \n  17 -> 33 [size =\"13942784\"]\n  17 -> 37 [size =\"13942784\"]\n  17 -> 38 [size =\"13942784\"]\n  17 -> 39 [size =\"13942784\"]\n  18 [size=\"71091200\", alpha=\"0.14\", expect_size=\"28436480\"] \n  18 -> 28 [size =\"28436480\"]\n  18 -> 29 [size =\"28436480\"]\n  18 -> 30 [size =\"28436480\"]\n  18 -> 31 [size =\"28436480\"]\n  18 -> 34 [size =\"28436480\"]\n  19 [size=\"127559680\", alpha=\"0.19\", expect_size=\"51023872\"] \n  19 -> 28 [size =\"51023872\"]\n  19 -> 31 [size =\"51023872\"]\n  19 -> 33 [size =\"51023872\"]\n  19 -> 38 [size =\"51023872\"]\n  19 -> 40 [size =\"51023872\"]\n  20 [size=\"77731840\", alpha=\"0.01\", expect_size=\"31092736\"] \n  20 -> 28 [size =\"31092736\"]\n  20 -> 35 [size =\"31092736\"]\n  21 [size=\"73062400\", alpha=\"0.14\", expect_size=\"29224960\"] \n  21 -> 33 [size =\"29224960\"]\n  21 -> 37 [size =\"29224960\"]\n  22 [size=\"26324480\", alpha=\"0.10\", expect_size=\"10529792\"] \n  22 -> 28 [size =\"10529792\"]\n  22 -> 31 [size =\"10529792\"]\n  22 -> 36 [size =\"10529792\"]\n  22 -> 37 [size =\"10529792\"]\n  22 -> 39 [size =\"10529792\"]\n  23 [size=\"129244160\", alpha=\"0.00\", expect_size=\"51697664\"] \n  23 -> 28 [size =\"51697664\"]\n  23 -> 30 [size =\"51697664\"]\n  23 -> 35 [size =\"51697664\"]\n  23 -> 38 [size =\"51697664\"]\n  23 -> 39 [size =\"51697664\"]\n  24 [size=\"130411520\", alpha=\"0.08\", expect_size=\"52164608\"] \n  24 -> 29 [size =\"52164608\"]\n  24 -> 30 [size =\"52164608\"]\n  24 -> 33 [size =\"52164608\"]\n  24 -> 35 [size =\"52164608\"]\n  24 -> 37 [size =\"52164608\"]\n  24 -> 40 [size =\"52164608\"]\n  25 [size=\"100910080\", alpha=\"0.07\", expect_size=\"40364032\"] \n  25 -> 29 [size =\"40364032\"]\n  25 -> 31 [size =\"40364032\"]\n  25 -> 33 [size =\"40364032\"]\n  25 -> 35 [size =\"40364032\"]\n  25 -> 36 [size =\"40364032\"]\n  25 -> 37 [size =\"40364032\"]\n  25 -> 39 [size =\"40364032\"]\n  26 [size=\"55201280\", alpha=\"0.12\", expect_size=\"22080512\"] \n  26 -> 35 [size =\"22080512\"]\n  26 -> 39 [size =\"22080512\"]\n  27 [size=\"13273600\", alpha=\"0.05\", expect_size=\"5309440\"] \n  27 -> 30 [size =\"5309440\"]\n  27 -> 32 [size =\"5309440\"]\n  27 -> 35 [size =\"5309440\"]\n  28 [size=\"36211200\", alpha=\"0.06\", expect_size=\"14484480\"] \n  29 [size=\"117829120\", alpha=\"0.01\", expect_size=\"47131648\"] \n  30 [size=\"111288320\", alpha=\"0.14\", expect_size=\"44515328\"] \n  31 [size=\"115944960\", alpha=\"0.17\", expect_size=\"46377984\"] \n  32 [size=\"81213440\", alpha=\"0.14\", expect_size=\"32485376\"] \n  33 [size=\"22888960\", alpha=\"0.01\", expect_size=\"9155584\"] \n  34 [size=\"23040000\", alpha=\"0.17\", expect_size=\"9216000\"] \n  35 [size=\"70848000\", alpha=\"0.07\", expect_size=\"28339200\"] \n  36 [size=\"112806400\", alpha=\"0.07\", expect_size=\"45122560\"] \n  37 [size=\"63567360\", alpha=\"0.11\", expect_size=\"25426944\"] \n  38 [size=\"95976960\", alpha=\"0.05\", expect_size=\"38390784\"] \n  39 [size=\"130083840\", alpha=\"0.18\", expect_size=\"52033536\"] \n  40 [size=\"20321280\", alpha=\"0.02\", expect_size=\"8128512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40552448\", alpha=\"0.00\", expect_size=\"20276224\"] \n  1 -> 35 [size =\"20276224\"]\n  1 -> 39 [size =\"20276224\"]\n  1 -> 39 [size =\"20276224\"]\n  2 [size=\"18262016\", alpha=\"0.17\", expect_size=\"9131008\"] \n  2 -> 28 [size =\"9131008\"]\n  2 -> 30 [size =\"9131008\"]\n  2 -> 31 [size =\"9131008\"]\n  2 -> 35 [size =\"9131008\"]\n  2 -> 38 [size =\"9131008\"]\n  2 -> 39 [size =\"9131008\"]\n  3 [size=\"95784960\", alpha=\"0.13\", expect_size=\"47892480\"] \n  3 -> 28 [size =\"47892480\"]\n  3 -> 30 [size =\"47892480\"]\n  3 -> 31 [size =\"47892480\"]\n  3 -> 33 [size =\"47892480\"]\n  3 -> 34 [size =\"47892480\"]\n  3 -> 35 [size =\"47892480\"]\n  3 -> 37 [size =\"47892480\"]\n  3 -> 40 [size =\"47892480\"]\n  4 [size=\"42102784\", alpha=\"0.07\", expect_size=\"21051392\"] \n  4 -> 28 [size =\"21051392\"]\n  4 -> 30 [size =\"21051392\"]\n  4 -> 31 [size =\"21051392\"]\n  4 -> 34 [size =\"21051392\"]\n  4 -> 35 [size =\"21051392\"]\n  4 -> 37 [size =\"21051392\"]\n  4 -> 39 [size =\"21051392\"]\n  4 -> 40 [size =\"21051392\"]\n  5 [size=\"32102400\", alpha=\"0.15\", expect_size=\"16051200\"] \n  5 -> 28 [size =\"16051200\"]\n  5 -> 30 [size =\"16051200\"]\n  5 -> 33 [size =\"16051200\"]\n  5 -> 34 [size =\"16051200\"]\n  5 -> 37 [size =\"16051200\"]\n  5 -> 39 [size =\"16051200\"]\n  5 -> 40 [size =\"16051200\"]\n  5 -> 40 [size =\"16051200\"]\n  6 [size=\"38367232\", alpha=\"0.17\", expect_size=\"19183616\"] \n  6 -> 29 [size =\"19183616\"]\n  6 -> 31 [size =\"19183616\"]\n  6 -> 34 [size =\"19183616\"]\n  6 -> 34 [size =\"19183616\"]\n  6 -> 35 [size =\"19183616\"]\n  6 -> 37 [size =\"19183616\"]\n  7 [size=\"44394496\", alpha=\"0.19\", expect_size=\"22197248\"] \n  7 -> 35 [size =\"22197248\"]\n  7 -> 36 [size =\"22197248\"]\n  7 -> 37 [size =\"22197248\"]\n  7 -> 39 [size =\"22197248\"]\n  8 [size=\"16177152\", alpha=\"0.19\", expect_size=\"8088576\"] \n  8 -> 33 [size =\"8088576\"]\n  8 -> 35 [size =\"8088576\"]\n  8 -> 39 [size =\"8088576\"]\n  9 [size=\"49299456\", alpha=\"0.19\", expect_size=\"24649728\"] \n  9 -> 30 [size =\"24649728\"]\n  9 -> 38 [size =\"24649728\"]\n  9 -> 39 [size =\"24649728\"]\n  10 [size=\"78516224\", alpha=\"0.10\", expect_size=\"39258112\"] \n  10 -> 30 [size =\"39258112\"]\n  10 -> 31 [size =\"39258112\"]\n  10 -> 34 [size =\"39258112\"]\n  10 -> 35 [size =\"39258112\"]\n  10 -> 38 [size =\"39258112\"]\n  11 [size=\"51324928\", alpha=\"0.04\", expect_size=\"25662464\"] \n  11 -> 38 [size =\"25662464\"]\n  11 -> 39 [size =\"25662464\"]\n  12 [size=\"52731904\", alpha=\"0.02\", expect_size=\"26365952\"] \n  12 -> 29 [size =\"26365952\"]\n  12 -> 39 [size =\"26365952\"]\n  13 [size=\"39778304\", alpha=\"0.19\", expect_size=\"19889152\"] \n  13 -> 28 [size =\"19889152\"]\n  13 -> 30 [size =\"19889152\"]\n  13 -> 33 [size =\"19889152\"]\n  13 -> 37 [size =\"19889152\"]\n  13 -> 38 [size =\"19889152\"]\n  14 [size=\"102164480\", alpha=\"0.13\", expect_size=\"51082240\"] \n  14 -> 40 [size =\"51082240\"]\n  15 [size=\"40736768\", alpha=\"0.13\", expect_size=\"20368384\"] \n  15 -> 28 [size =\"20368384\"]\n  15 -> 32 [size =\"20368384\"]\n  15 -> 33 [size =\"20368384\"]\n  15 -> 34 [size =\"20368384\"]\n  15 -> 35 [size =\"20368384\"]\n  15 -> 39 [size =\"20368384\"]\n  16 [size=\"15470592\", alpha=\"0.06\", expect_size=\"7735296\"] \n  16 -> 30 [size =\"7735296\"]\n  16 -> 32 [size =\"7735296\"]\n  16 -> 33 [size =\"7735296\"]\n  16 -> 38 [size =\"7735296\"]\n  16 -> 39 [size =\"7735296\"]\n  16 -> 39 [size =\"7735296\"]\n  17 [size=\"96937984\", alpha=\"0.18\", expect_size=\"48468992\"] \n  17 -> 29 [size =\"48468992\"]\n  17 -> 32 [size =\"48468992\"]\n  17 -> 38 [size =\"48468992\"]\n  18 [size=\"93575168\", alpha=\"0.14\", expect_size=\"46787584\"] \n  18 -> 29 [size =\"46787584\"]\n  18 -> 31 [size =\"46787584\"]\n  18 -> 32 [size =\"46787584\"]\n  18 -> 38 [size =\"46787584\"]\n  18 -> 40 [size =\"46787584\"]\n  19 [size=\"90404864\", alpha=\"0.07\", expect_size=\"45202432\"] \n  19 -> 28 [size =\"45202432\"]\n  19 -> 30 [size =\"45202432\"]\n  19 -> 32 [size =\"45202432\"]\n  19 -> 34 [size =\"45202432\"]\n  19 -> 35 [size =\"45202432\"]\n  19 -> 39 [size =\"45202432\"]\n  20 [size=\"85671936\", alpha=\"0.09\", expect_size=\"42835968\"] \n  20 -> 28 [size =\"42835968\"]\n  20 -> 29 [size =\"42835968\"]\n  20 -> 33 [size =\"42835968\"]\n  20 -> 37 [size =\"42835968\"]\n  21 [size=\"39514112\", alpha=\"0.17\", expect_size=\"19757056\"] \n  21 -> 28 [size =\"19757056\"]\n  21 -> 29 [size =\"19757056\"]\n  21 -> 36 [size =\"19757056\"]\n  22 [size=\"60721152\", alpha=\"0.06\", expect_size=\"30360576\"] \n  22 -> 28 [size =\"30360576\"]\n  22 -> 30 [size =\"30360576\"]\n  22 -> 31 [size =\"30360576\"]\n  23 [size=\"68603904\", alpha=\"0.14\", expect_size=\"34301952\"] \n  23 -> 30 [size =\"34301952\"]\n  23 -> 31 [size =\"34301952\"]\n  23 -> 32 [size =\"34301952\"]\n  23 -> 34 [size =\"34301952\"]\n  23 -> 39 [size =\"34301952\"]\n  24 [size=\"64077824\", alpha=\"0.09\", expect_size=\"32038912\"] \n  24 -> 31 [size =\"32038912\"]\n  24 -> 32 [size =\"32038912\"]\n  24 -> 39 [size =\"32038912\"]\n  25 [size=\"32665600\", alpha=\"0.08\", expect_size=\"16332800\"] \n  25 -> 31 [size =\"16332800\"]\n  25 -> 34 [size =\"16332800\"]\n  25 -> 35 [size =\"16332800\"]\n  25 -> 39 [size =\"16332800\"]\n  26 [size=\"92862464\", alpha=\"0.13\", expect_size=\"46431232\"] \n  26 -> 31 [size =\"46431232\"]\n  26 -> 32 [size =\"46431232\"]\n  26 -> 39 [size =\"46431232\"]\n  27 [size=\"27465728\", alpha=\"0.05\", expect_size=\"13732864\"] \n  27 -> 35 [size =\"13732864\"]\n  27 -> 37 [size =\"13732864\"]\n  27 -> 39 [size =\"13732864\"]\n  27 -> 40 [size =\"13732864\"]\n  28 [size=\"16924672\", alpha=\"0.18\", expect_size=\"8462336\"] \n  29 [size=\"81002496\", alpha=\"0.20\", expect_size=\"40501248\"] \n  30 [size=\"19406848\", alpha=\"0.16\", expect_size=\"9703424\"] \n  31 [size=\"60047360\", alpha=\"0.00\", expect_size=\"30023680\"] \n  32 [size=\"44249088\", alpha=\"0.14\", expect_size=\"22124544\"] \n  33 [size=\"74158080\", alpha=\"0.14\", expect_size=\"37079040\"] \n  34 [size=\"46333952\", alpha=\"0.13\", expect_size=\"23166976\"] \n  35 [size=\"86767616\", alpha=\"0.19\", expect_size=\"43383808\"] \n  36 [size=\"28332032\", alpha=\"0.05\", expect_size=\"14166016\"] \n  37 [size=\"87654400\", alpha=\"0.10\", expect_size=\"43827200\"] \n  38 [size=\"15527936\", alpha=\"0.13\", expect_size=\"7763968\"] \n  39 [size=\"100761600\", alpha=\"0.13\", expect_size=\"50380800\"] \n  40 [size=\"99053568\", alpha=\"0.08\", expect_size=\"49526784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31375360\", alpha=\"0.01\", expect_size=\"9412608\"] \n  1 -> 3 [size =\"9412608\"]\n  1 -> 4 [size =\"9412608\"]\n  1 -> 5 [size =\"9412608\"]\n  2 [size=\"124204373\", alpha=\"0.14\", expect_size=\"37261312\"] \n  2 -> 3 [size =\"37261312\"]\n  2 -> 5 [size =\"37261312\"]\n  3 [size=\"152763733\", alpha=\"0.15\", expect_size=\"45829120\"] \n  3 -> 6 [size =\"45829120\"]\n  3 -> 7 [size =\"45829120\"]\n  4 [size=\"161157120\", alpha=\"0.01\", expect_size=\"48347136\"] \n  4 -> 7 [size =\"48347136\"]\n  5 [size=\"115220480\", alpha=\"0.16\", expect_size=\"34566144\"] \n  5 -> 6 [size =\"34566144\"]\n  6 [size=\"158559573\", alpha=\"0.05\", expect_size=\"47567872\"] \n  6 -> 8 [size =\"47567872\"]\n  6 -> 9 [size =\"47567872\"]\n  6 -> 10 [size =\"47567872\"]\n  6 -> 11 [size =\"47567872\"]\n  7 [size=\"135191893\", alpha=\"0.15\", expect_size=\"40557568\"] \n  8 [size=\"147445760\", alpha=\"0.05\", expect_size=\"44233728\"] \n  8 -> 12 [size =\"44233728\"]\n  8 -> 13 [size =\"44233728\"]\n  9 [size=\"74222933\", alpha=\"0.18\", expect_size=\"22266880\"] \n  9 -> 13 [size =\"22266880\"]\n  10 [size=\"155050667\", alpha=\"0.03\", expect_size=\"46515200\"] \n  11 [size=\"137058987\", alpha=\"0.09\", expect_size=\"41117696\"] \n  11 -> 12 [size =\"41117696\"]\n  12 [size=\"145029120\", alpha=\"0.09\", expect_size=\"43508736\"] \n  12 -> 15 [size =\"43508736\"]\n  13 [size=\"95341227\", alpha=\"0.05\", expect_size=\"28602368\"] \n  13 -> 14 [size =\"28602368\"]\n  13 -> 15 [size =\"28602368\"]\n  13 -> 16 [size =\"28602368\"]\n  14 [size=\"54992213\", alpha=\"0.01\", expect_size=\"16497664\"] \n  15 [size=\"63143253\", alpha=\"0.08\", expect_size=\"18942976\"] \n  15 -> 17 [size =\"18942976\"]\n  16 [size=\"32723627\", alpha=\"0.05\", expect_size=\"9817088\"] \n  16 -> 17 [size =\"9817088\"]\n  17 [size=\"68717227\", alpha=\"0.10\", expect_size=\"20615168\"] \n  17 -> 18 [size =\"20615168\"]\n  17 -> 19 [size =\"20615168\"]\n  18 [size=\"29525333\", alpha=\"0.04\", expect_size=\"8857600\"] \n  18 -> 21 [size =\"8857600\"]\n  19 [size=\"70912000\", alpha=\"0.02\", expect_size=\"21273600\"] \n  19 -> 20 [size =\"21273600\"]\n  19 -> 21 [size =\"21273600\"]\n  19 -> 22 [size =\"21273600\"]\n  20 [size=\"58139307\", alpha=\"0.08\", expect_size=\"17441792\"] \n  20 -> 23 [size =\"17441792\"]\n  20 -> 25 [size =\"17441792\"]\n  21 [size=\"78124373\", alpha=\"0.16\", expect_size=\"23437312\"] \n  21 -> 23 [size =\"23437312\"]\n  21 -> 24 [size =\"23437312\"]\n  22 [size=\"148288853\", alpha=\"0.18\", expect_size=\"44486656\"] \n  22 -> 24 [size =\"44486656\"]\n  22 -> 25 [size =\"44486656\"]\n  23 [size=\"60818773\", alpha=\"0.17\", expect_size=\"18245632\"] \n  23 -> 27 [size =\"18245632\"]\n  24 [size=\"98358613\", alpha=\"0.14\", expect_size=\"29507584\"] \n  24 -> 26 [size =\"29507584\"]\n  25 [size=\"107758933\", alpha=\"0.04\", expect_size=\"32327680\"] \n  25 -> 26 [size =\"32327680\"]\n  26 [size=\"170086400\", alpha=\"0.12\", expect_size=\"51025920\"] \n  26 -> 30 [size =\"51025920\"]\n  27 [size=\"54937600\", alpha=\"0.14\", expect_size=\"16481280\"] \n  27 -> 28 [size =\"16481280\"]\n  27 -> 29 [size =\"16481280\"]\n  28 [size=\"136570880\", alpha=\"0.13\", expect_size=\"40971264\"] \n  28 -> 31 [size =\"40971264\"]\n  28 -> 32 [size =\"40971264\"]\n  29 [size=\"170967040\", alpha=\"0.20\", expect_size=\"51290112\"] \n  29 -> 33 [size =\"51290112\"]\n  30 [size=\"28364800\", alpha=\"0.04\", expect_size=\"8509440\"] \n  30 -> 31 [size =\"8509440\"]\n  30 -> 33 [size =\"8509440\"]\n  31 [size=\"93576533\", alpha=\"0.03\", expect_size=\"28072960\"] \n  32 [size=\"65938773\", alpha=\"0.18\", expect_size=\"19781632\"] \n  32 -> 34 [size =\"19781632\"]\n  32 -> 35 [size =\"19781632\"]\n  33 [size=\"52172800\", alpha=\"0.03\", expect_size=\"15651840\"] \n  34 [size=\"30286507\", alpha=\"0.13\", expect_size=\"9085952\"] \n  34 -> 37 [size =\"9085952\"]\n  35 [size=\"143957333\", alpha=\"0.09\", expect_size=\"43187200\"] \n  35 -> 36 [size =\"43187200\"]\n  35 -> 37 [size =\"43187200\"]\n  36 [size=\"19077120\", alpha=\"0.06\", expect_size=\"5723136\"] \n  36 -> 38 [size =\"5723136\"]\n  36 -> 39 [size =\"5723136\"]\n  36 -> 40 [size =\"5723136\"]\n  37 [size=\"111298560\", alpha=\"0.10\", expect_size=\"33389568\"] \n  38 [size=\"66481493\", alpha=\"0.16\", expect_size=\"19944448\"] \n  39 [size=\"171881813\", alpha=\"0.09\", expect_size=\"51564544\"] \n  40 [size=\"169676800\", alpha=\"0.06\", expect_size=\"50903040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63034027\", alpha=\"0.03\", expect_size=\"18910208\"] \n  1 -> 2 [size =\"18910208\"]\n  2 [size=\"112738987\", alpha=\"0.16\", expect_size=\"33821696\"] \n  2 -> 3 [size =\"33821696\"]\n  3 [size=\"160617813\", alpha=\"0.03\", expect_size=\"48185344\"] \n  3 -> 4 [size =\"48185344\"]\n  4 [size=\"150657707\", alpha=\"0.06\", expect_size=\"45197312\"] \n  4 -> 5 [size =\"45197312\"]\n  5 [size=\"117971627\", alpha=\"0.07\", expect_size=\"35391488\"] \n  5 -> 6 [size =\"35391488\"]\n  6 [size=\"149794133\", alpha=\"0.02\", expect_size=\"44938240\"] \n  6 -> 7 [size =\"44938240\"]\n  7 [size=\"140748800\", alpha=\"0.01\", expect_size=\"42224640\"] \n  7 -> 8 [size =\"42224640\"]\n  8 [size=\"68116480\", alpha=\"0.17\", expect_size=\"20434944\"] \n  8 -> 9 [size =\"20434944\"]\n  9 [size=\"78434987\", alpha=\"0.09\", expect_size=\"23530496\"] \n  9 -> 10 [size =\"23530496\"]\n  10 [size=\"82998613\", alpha=\"0.11\", expect_size=\"24899584\"] \n  10 -> 11 [size =\"24899584\"]\n  11 [size=\"28252160\", alpha=\"0.17\", expect_size=\"8475648\"] \n  11 -> 12 [size =\"8475648\"]\n  12 [size=\"48844800\", alpha=\"0.14\", expect_size=\"14653440\"] \n  12 -> 13 [size =\"14653440\"]\n  13 [size=\"20811093\", alpha=\"0.10\", expect_size=\"6243328\"] \n  13 -> 14 [size =\"6243328\"]\n  14 [size=\"47305387\", alpha=\"0.06\", expect_size=\"14191616\"] \n  14 -> 15 [size =\"14191616\"]\n  15 [size=\"96037547\", alpha=\"0.07\", expect_size=\"28811264\"] \n  15 -> 16 [size =\"28811264\"]\n  16 [size=\"150353920\", alpha=\"0.16\", expect_size=\"45106176\"] \n  16 -> 17 [size =\"45106176\"]\n  17 [size=\"163563520\", alpha=\"0.00\", expect_size=\"49069056\"] \n  17 -> 18 [size =\"49069056\"]\n  18 [size=\"170731520\", alpha=\"0.01\", expect_size=\"51219456\"] \n  18 -> 19 [size =\"51219456\"]\n  19 [size=\"149927253\", alpha=\"0.07\", expect_size=\"44978176\"] \n  19 -> 20 [size =\"44978176\"]\n  20 [size=\"61303467\", alpha=\"0.15\", expect_size=\"18391040\"] \n  20 -> 21 [size =\"18391040\"]\n  21 [size=\"146694827\", alpha=\"0.09\", expect_size=\"44008448\"] \n  21 -> 22 [size =\"44008448\"]\n  22 [size=\"121832107\", alpha=\"0.15\", expect_size=\"36549632\"] \n  22 -> 23 [size =\"36549632\"]\n  23 [size=\"73011200\", alpha=\"0.19\", expect_size=\"21903360\"] \n  23 -> 24 [size =\"21903360\"]\n  24 [size=\"149640533\", alpha=\"0.00\", expect_size=\"44892160\"] \n  24 -> 25 [size =\"44892160\"]\n  25 [size=\"37188267\", alpha=\"0.14\", expect_size=\"11156480\"] \n  25 -> 26 [size =\"11156480\"]\n  26 [size=\"91685547\", alpha=\"0.05\", expect_size=\"27505664\"] \n  26 -> 27 [size =\"27505664\"]\n  27 [size=\"56688640\", alpha=\"0.11\", expect_size=\"17006592\"] \n  27 -> 28 [size =\"17006592\"]\n  28 [size=\"58610347\", alpha=\"0.04\", expect_size=\"17583104\"] \n  28 -> 29 [size =\"17583104\"]\n  29 [size=\"65293653\", alpha=\"0.05\", expect_size=\"19588096\"] \n  29 -> 30 [size =\"19588096\"]\n  30 [size=\"121845760\", alpha=\"0.14\", expect_size=\"36553728\"] \n  30 -> 31 [size =\"36553728\"]\n  31 [size=\"84561920\", alpha=\"0.04\", expect_size=\"25368576\"] \n  31 -> 32 [size =\"25368576\"]\n  32 [size=\"156286293\", alpha=\"0.18\", expect_size=\"46885888\"] \n  32 -> 33 [size =\"46885888\"]\n  33 [size=\"117705387\", alpha=\"0.13\", expect_size=\"35311616\"] \n  33 -> 34 [size =\"35311616\"]\n  34 [size=\"111967573\", alpha=\"0.11\", expect_size=\"33590272\"] \n  34 -> 35 [size =\"33590272\"]\n  35 [size=\"114964480\", alpha=\"0.20\", expect_size=\"34489344\"] \n  35 -> 36 [size =\"34489344\"]\n  36 [size=\"69908480\", alpha=\"0.05\", expect_size=\"20972544\"] \n  36 -> 37 [size =\"20972544\"]\n  37 [size=\"109117440\", alpha=\"0.09\", expect_size=\"32735232\"] \n  37 -> 38 [size =\"32735232\"]\n  38 [size=\"41294507\", alpha=\"0.13\", expect_size=\"12388352\"] \n  38 -> 39 [size =\"12388352\"]\n  39 [size=\"74362880\", alpha=\"0.13\", expect_size=\"22308864\"] \n  39 -> 40 [size =\"22308864\"]\n  40 [size=\"112005120\", alpha=\"0.19\", expect_size=\"33601536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79609856\", alpha=\"0.07\", expect_size=\"39804928\"] \n  1 -> 2 [size =\"39804928\"]\n  2 [size=\"43732992\", alpha=\"0.00\", expect_size=\"21866496\"] \n  2 -> 3 [size =\"21866496\"]\n  3 [size=\"64948224\", alpha=\"0.08\", expect_size=\"32474112\"] \n  3 -> 4 [size =\"32474112\"]\n  4 [size=\"48359424\", alpha=\"0.13\", expect_size=\"24179712\"] \n  4 -> 5 [size =\"24179712\"]\n  5 [size=\"39069696\", alpha=\"0.19\", expect_size=\"19534848\"] \n  5 -> 6 [size =\"19534848\"]\n  6 [size=\"101554176\", alpha=\"0.02\", expect_size=\"50777088\"] \n  6 -> 7 [size =\"50777088\"]\n  7 [size=\"85852160\", alpha=\"0.04\", expect_size=\"42926080\"] \n  7 -> 8 [size =\"42926080\"]\n  8 [size=\"64118784\", alpha=\"0.19\", expect_size=\"32059392\"] \n  8 -> 9 [size =\"32059392\"]\n  9 [size=\"54816768\", alpha=\"0.07\", expect_size=\"27408384\"] \n  9 -> 10 [size =\"27408384\"]\n  10 [size=\"83625984\", alpha=\"0.07\", expect_size=\"41812992\"] \n  10 -> 11 [size =\"41812992\"]\n  11 [size=\"87189504\", alpha=\"0.12\", expect_size=\"43594752\"] \n  11 -> 12 [size =\"43594752\"]\n  12 [size=\"24786944\", alpha=\"0.19\", expect_size=\"12393472\"] \n  12 -> 13 [size =\"12393472\"]\n  13 [size=\"25808896\", alpha=\"0.03\", expect_size=\"12904448\"] \n  13 -> 14 [size =\"12904448\"]\n  14 [size=\"62021632\", alpha=\"0.14\", expect_size=\"31010816\"] \n  14 -> 15 [size =\"31010816\"]\n  15 [size=\"30621696\", alpha=\"0.18\", expect_size=\"15310848\"] \n  15 -> 16 [size =\"15310848\"]\n  16 [size=\"25165824\", alpha=\"0.08\", expect_size=\"12582912\"] \n  16 -> 17 [size =\"12582912\"]\n  17 [size=\"34355200\", alpha=\"0.19\", expect_size=\"17177600\"] \n  17 -> 18 [size =\"17177600\"]\n  18 [size=\"51681280\", alpha=\"0.03\", expect_size=\"25840640\"] \n  18 -> 19 [size =\"25840640\"]\n  19 [size=\"47583232\", alpha=\"0.14\", expect_size=\"23791616\"] \n  19 -> 20 [size =\"23791616\"]\n  20 [size=\"80095232\", alpha=\"0.13\", expect_size=\"40047616\"] \n  20 -> 21 [size =\"40047616\"]\n  21 [size=\"19746816\", alpha=\"0.06\", expect_size=\"9873408\"] \n  21 -> 22 [size =\"9873408\"]\n  22 [size=\"75329536\", alpha=\"0.06\", expect_size=\"37664768\"] \n  22 -> 23 [size =\"37664768\"]\n  23 [size=\"72577024\", alpha=\"0.17\", expect_size=\"36288512\"] \n  23 -> 24 [size =\"36288512\"]\n  24 [size=\"88391680\", alpha=\"0.17\", expect_size=\"44195840\"] \n  24 -> 25 [size =\"44195840\"]\n  25 [size=\"59193344\", alpha=\"0.03\", expect_size=\"29596672\"] \n  25 -> 26 [size =\"29596672\"]\n  26 [size=\"48431104\", alpha=\"0.08\", expect_size=\"24215552\"] \n  26 -> 27 [size =\"24215552\"]\n  27 [size=\"87453696\", alpha=\"0.09\", expect_size=\"43726848\"] \n  27 -> 28 [size =\"43726848\"]\n  28 [size=\"81285120\", alpha=\"0.01\", expect_size=\"40642560\"] \n  28 -> 29 [size =\"40642560\"]\n  29 [size=\"96301056\", alpha=\"0.03\", expect_size=\"48150528\"] \n  29 -> 30 [size =\"48150528\"]\n  30 [size=\"69822464\", alpha=\"0.00\", expect_size=\"34911232\"] \n  30 -> 31 [size =\"34911232\"]\n  31 [size=\"35688448\", alpha=\"0.14\", expect_size=\"17844224\"] \n  31 -> 32 [size =\"17844224\"]\n  32 [size=\"63023104\", alpha=\"0.10\", expect_size=\"31511552\"] \n  32 -> 33 [size =\"31511552\"]\n  33 [size=\"90703872\", alpha=\"0.10\", expect_size=\"45351936\"] \n  33 -> 34 [size =\"45351936\"]\n  34 [size=\"78821376\", alpha=\"0.01\", expect_size=\"39410688\"] \n  34 -> 35 [size =\"39410688\"]\n  35 [size=\"65249280\", alpha=\"0.16\", expect_size=\"32624640\"] \n  35 -> 36 [size =\"32624640\"]\n  36 [size=\"78573568\", alpha=\"0.14\", expect_size=\"39286784\"] \n  36 -> 37 [size =\"39286784\"]\n  37 [size=\"21116928\", alpha=\"0.17\", expect_size=\"10558464\"] \n  37 -> 38 [size =\"10558464\"]\n  38 [size=\"62619648\", alpha=\"0.09\", expect_size=\"31309824\"] \n  38 -> 39 [size =\"31309824\"]\n  39 [size=\"67973120\", alpha=\"0.08\", expect_size=\"33986560\"] \n  39 -> 40 [size =\"33986560\"]\n  40 [size=\"81506304\", alpha=\"0.03\", expect_size=\"40753152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53409280\", alpha=\"0.15\", expect_size=\"21363712\"] \n  1 -> 8 [size =\"21363712\"]\n  2 [size=\"27578880\", alpha=\"0.15\", expect_size=\"11031552\"] \n  2 -> 7 [size =\"11031552\"]\n  2 -> 8 [size =\"11031552\"]\n  3 [size=\"90096640\", alpha=\"0.03\", expect_size=\"36038656\"] \n  3 -> 7 [size =\"36038656\"]\n  4 [size=\"60088320\", alpha=\"0.03\", expect_size=\"24035328\"] \n  4 -> 6 [size =\"24035328\"]\n  4 -> 8 [size =\"24035328\"]\n  5 [size=\"63165440\", alpha=\"0.11\", expect_size=\"25266176\"] \n  5 -> 6 [size =\"25266176\"]\n  6 [size=\"14561280\", alpha=\"0.16\", expect_size=\"5824512\"] \n  6 -> 9 [size =\"5824512\"]\n  6 -> 10 [size =\"5824512\"]\n  6 -> 11 [size =\"5824512\"]\n  6 -> 12 [size =\"5824512\"]\n  7 [size=\"80197120\", alpha=\"0.03\", expect_size=\"32078848\"] \n  7 -> 9 [size =\"32078848\"]\n  7 -> 10 [size =\"32078848\"]\n  8 [size=\"37457920\", alpha=\"0.12\", expect_size=\"14983168\"] \n  9 [size=\"38763520\", alpha=\"0.17\", expect_size=\"15505408\"] \n  9 -> 13 [size =\"15505408\"]\n  9 -> 14 [size =\"15505408\"]\n  10 [size=\"36487680\", alpha=\"0.12\", expect_size=\"14595072\"] \n  10 -> 14 [size =\"14595072\"]\n  11 [size=\"61888000\", alpha=\"0.03\", expect_size=\"24755200\"] \n  11 -> 13 [size =\"24755200\"]\n  11 -> 14 [size =\"24755200\"]\n  11 -> 16 [size =\"24755200\"]\n  12 [size=\"29783040\", alpha=\"0.11\", expect_size=\"11913216\"] \n  12 -> 15 [size =\"11913216\"]\n  13 [size=\"118581760\", alpha=\"0.14\", expect_size=\"47432704\"] \n  13 -> 17 [size =\"47432704\"]\n  13 -> 18 [size =\"47432704\"]\n  13 -> 23 [size =\"47432704\"]\n  13 -> 24 [size =\"47432704\"]\n  14 [size=\"21012480\", alpha=\"0.08\", expect_size=\"8404992\"] \n  14 -> 18 [size =\"8404992\"]\n  14 -> 19 [size =\"8404992\"]\n  14 -> 20 [size =\"8404992\"]\n  14 -> 24 [size =\"8404992\"]\n  15 [size=\"37975040\", alpha=\"0.18\", expect_size=\"15190016\"] \n  15 -> 17 [size =\"15190016\"]\n  15 -> 20 [size =\"15190016\"]\n  15 -> 21 [size =\"15190016\"]\n  16 [size=\"105269760\", alpha=\"0.01\", expect_size=\"42107904\"] \n  16 -> 18 [size =\"42107904\"]\n  16 -> 20 [size =\"42107904\"]\n  16 -> 22 [size =\"42107904\"]\n  16 -> 23 [size =\"42107904\"]\n  16 -> 24 [size =\"42107904\"]\n  17 [size=\"79534080\", alpha=\"0.15\", expect_size=\"31813632\"] \n  17 -> 29 [size =\"31813632\"]\n  18 [size=\"99356160\", alpha=\"0.05\", expect_size=\"39742464\"] \n  18 -> 25 [size =\"39742464\"]\n  18 -> 26 [size =\"39742464\"]\n  19 [size=\"51269120\", alpha=\"0.19\", expect_size=\"20507648\"] \n  19 -> 25 [size =\"20507648\"]\n  19 -> 26 [size =\"20507648\"]\n  19 -> 29 [size =\"20507648\"]\n  20 [size=\"35077120\", alpha=\"0.01\", expect_size=\"14030848\"] \n  20 -> 25 [size =\"14030848\"]\n  20 -> 28 [size =\"14030848\"]\n  21 [size=\"106406400\", alpha=\"0.09\", expect_size=\"42562560\"] \n  22 [size=\"123479040\", alpha=\"0.20\", expect_size=\"49391616\"] \n  22 -> 25 [size =\"49391616\"]\n  22 -> 28 [size =\"49391616\"]\n  23 [size=\"71984640\", alpha=\"0.04\", expect_size=\"28793856\"] \n  23 -> 25 [size =\"28793856\"]\n  23 -> 26 [size =\"28793856\"]\n  24 [size=\"36989440\", alpha=\"0.16\", expect_size=\"14795776\"] \n  24 -> 27 [size =\"14795776\"]\n  24 -> 28 [size =\"14795776\"]\n  24 -> 29 [size =\"14795776\"]\n  25 [size=\"85265920\", alpha=\"0.16\", expect_size=\"34106368\"] \n  25 -> 30 [size =\"34106368\"]\n  25 -> 31 [size =\"34106368\"]\n  25 -> 32 [size =\"34106368\"]\n  26 [size=\"75110400\", alpha=\"0.16\", expect_size=\"30044160\"] \n  26 -> 36 [size =\"30044160\"]\n  27 [size=\"78545920\", alpha=\"0.08\", expect_size=\"31418368\"] \n  27 -> 31 [size =\"31418368\"]\n  27 -> 36 [size =\"31418368\"]\n  28 [size=\"48675840\", alpha=\"0.04\", expect_size=\"19470336\"] \n  28 -> 30 [size =\"19470336\"]\n  28 -> 33 [size =\"19470336\"]\n  28 -> 35 [size =\"19470336\"]\n  29 [size=\"77056000\", alpha=\"0.05\", expect_size=\"30822400\"] \n  29 -> 30 [size =\"30822400\"]\n  29 -> 31 [size =\"30822400\"]\n  29 -> 33 [size =\"30822400\"]\n  29 -> 34 [size =\"30822400\"]\n  29 -> 36 [size =\"30822400\"]\n  30 [size=\"73528320\", alpha=\"0.09\", expect_size=\"29411328\"] \n  30 -> 39 [size =\"29411328\"]\n  31 [size=\"78671360\", alpha=\"0.01\", expect_size=\"31468544\"] \n  31 -> 37 [size =\"31468544\"]\n  32 [size=\"14824960\", alpha=\"0.17\", expect_size=\"5929984\"] \n  32 -> 39 [size =\"5929984\"]\n  33 [size=\"14425600\", alpha=\"0.10\", expect_size=\"5770240\"] \n  33 -> 38 [size =\"5770240\"]\n  33 -> 39 [size =\"5770240\"]\n  33 -> 40 [size =\"5770240\"]\n  34 [size=\"36503040\", alpha=\"0.05\", expect_size=\"14601216\"] \n  34 -> 38 [size =\"14601216\"]\n  34 -> 40 [size =\"14601216\"]\n  35 [size=\"128035840\", alpha=\"0.04\", expect_size=\"51214336\"] \n  35 -> 38 [size =\"51214336\"]\n  36 [size=\"103155200\", alpha=\"0.18\", expect_size=\"41262080\"] \n  36 -> 40 [size =\"41262080\"]\n  37 [size=\"81280000\", alpha=\"0.04\", expect_size=\"32512000\"] \n  38 [size=\"129505280\", alpha=\"0.04\", expect_size=\"51802112\"] \n  39 [size=\"36249600\", alpha=\"0.11\", expect_size=\"14499840\"] \n  40 [size=\"63098880\", alpha=\"0.02\", expect_size=\"25239552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55664640\", alpha=\"0.15\", expect_size=\"16699392\"] \n  1 -> 29 [size =\"16699392\"]\n  1 -> 32 [size =\"16699392\"]\n  1 -> 38 [size =\"16699392\"]\n  2 [size=\"91791360\", alpha=\"0.15\", expect_size=\"27537408\"] \n  2 -> 29 [size =\"27537408\"]\n  2 -> 31 [size =\"27537408\"]\n  2 -> 32 [size =\"27537408\"]\n  2 -> 33 [size =\"27537408\"]\n  2 -> 38 [size =\"27537408\"]\n  2 -> 40 [size =\"27537408\"]\n  3 [size=\"72355840\", alpha=\"0.15\", expect_size=\"21706752\"] \n  3 -> 29 [size =\"21706752\"]\n  3 -> 32 [size =\"21706752\"]\n  3 -> 35 [size =\"21706752\"]\n  4 [size=\"64925013\", alpha=\"0.09\", expect_size=\"19477504\"] \n  4 -> 29 [size =\"19477504\"]\n  4 -> 34 [size =\"19477504\"]\n  4 -> 35 [size =\"19477504\"]\n  4 -> 38 [size =\"19477504\"]\n  5 [size=\"107618987\", alpha=\"0.09\", expect_size=\"32285696\"] \n  5 -> 29 [size =\"32285696\"]\n  5 -> 35 [size =\"32285696\"]\n  5 -> 40 [size =\"32285696\"]\n  6 [size=\"115462827\", alpha=\"0.07\", expect_size=\"34638848\"] \n  6 -> 36 [size =\"34638848\"]\n  6 -> 40 [size =\"34638848\"]\n  7 [size=\"61713067\", alpha=\"0.03\", expect_size=\"18513920\"] \n  7 -> 34 [size =\"18513920\"]\n  7 -> 38 [size =\"18513920\"]\n  7 -> 39 [size =\"18513920\"]\n  7 -> 40 [size =\"18513920\"]\n  8 [size=\"162420053\", alpha=\"0.03\", expect_size=\"48726016\"] \n  8 -> 29 [size =\"48726016\"]\n  8 -> 34 [size =\"48726016\"]\n  8 -> 36 [size =\"48726016\"]\n  8 -> 37 [size =\"48726016\"]\n  8 -> 38 [size =\"48726016\"]\n  8 -> 40 [size =\"48726016\"]\n  9 [size=\"19230720\", alpha=\"0.07\", expect_size=\"5769216\"] \n  9 -> 32 [size =\"5769216\"]\n  9 -> 34 [size =\"5769216\"]\n  9 -> 35 [size =\"5769216\"]\n  9 -> 36 [size =\"5769216\"]\n  9 -> 37 [size =\"5769216\"]\n  9 -> 38 [size =\"5769216\"]\n  9 -> 40 [size =\"5769216\"]\n  10 [size=\"143813973\", alpha=\"0.18\", expect_size=\"43144192\"] \n  10 -> 29 [size =\"43144192\"]\n  10 -> 32 [size =\"43144192\"]\n  10 -> 35 [size =\"43144192\"]\n  10 -> 36 [size =\"43144192\"]\n  11 [size=\"116176213\", alpha=\"0.10\", expect_size=\"34852864\"] \n  11 -> 29 [size =\"34852864\"]\n  11 -> 33 [size =\"34852864\"]\n  11 -> 35 [size =\"34852864\"]\n  11 -> 40 [size =\"34852864\"]\n  12 [size=\"77250560\", alpha=\"0.10\", expect_size=\"23175168\"] \n  12 -> 29 [size =\"23175168\"]\n  12 -> 34 [size =\"23175168\"]\n  12 -> 38 [size =\"23175168\"]\n  13 [size=\"36908373\", alpha=\"0.18\", expect_size=\"11072512\"] \n  13 -> 29 [size =\"11072512\"]\n  13 -> 34 [size =\"11072512\"]\n  13 -> 35 [size =\"11072512\"]\n  13 -> 40 [size =\"11072512\"]\n  14 [size=\"154030080\", alpha=\"0.17\", expect_size=\"46209024\"] \n  14 -> 36 [size =\"46209024\"]\n  14 -> 40 [size =\"46209024\"]\n  15 [size=\"71082667\", alpha=\"0.15\", expect_size=\"21324800\"] \n  15 -> 34 [size =\"21324800\"]\n  15 -> 38 [size =\"21324800\"]\n  16 [size=\"144285013\", alpha=\"0.12\", expect_size=\"43285504\"] \n  16 -> 29 [size =\"43285504\"]\n  16 -> 34 [size =\"43285504\"]\n  16 -> 36 [size =\"43285504\"]\n  16 -> 37 [size =\"43285504\"]\n  16 -> 39 [size =\"43285504\"]\n  17 [size=\"41140907\", alpha=\"0.15\", expect_size=\"12342272\"] \n  18 [size=\"67317760\", alpha=\"0.16\", expect_size=\"20195328\"] \n  18 -> 29 [size =\"20195328\"]\n  18 -> 34 [size =\"20195328\"]\n  19 [size=\"91685547\", alpha=\"0.08\", expect_size=\"27505664\"] \n  19 -> 29 [size =\"27505664\"]\n  19 -> 34 [size =\"27505664\"]\n  20 [size=\"148773547\", alpha=\"0.13\", expect_size=\"44632064\"] \n  20 -> 30 [size =\"44632064\"]\n  20 -> 34 [size =\"44632064\"]\n  20 -> 36 [size =\"44632064\"]\n  20 -> 38 [size =\"44632064\"]\n  21 [size=\"136922453\", alpha=\"0.02\", expect_size=\"41076736\"] \n  21 -> 32 [size =\"41076736\"]\n  21 -> 34 [size =\"41076736\"]\n  21 -> 36 [size =\"41076736\"]\n  22 [size=\"58589867\", alpha=\"0.02\", expect_size=\"17576960\"] \n  22 -> 36 [size =\"17576960\"]\n  22 -> 38 [size =\"17576960\"]\n  23 [size=\"135734613\", alpha=\"0.08\", expect_size=\"40720384\"] \n  23 -> 36 [size =\"40720384\"]\n  23 -> 38 [size =\"40720384\"]\n  24 [size=\"121941333\", alpha=\"0.00\", expect_size=\"36582400\"] \n  24 -> 32 [size =\"36582400\"]\n  24 -> 35 [size =\"36582400\"]\n  24 -> 36 [size =\"36582400\"]\n  25 [size=\"97235627\", alpha=\"0.04\", expect_size=\"29170688\"] \n  25 -> 29 [size =\"29170688\"]\n  25 -> 32 [size =\"29170688\"]\n  25 -> 35 [size =\"29170688\"]\n  25 -> 37 [size =\"29170688\"]\n  26 [size=\"58477227\", alpha=\"0.00\", expect_size=\"17543168\"] \n  26 -> 33 [size =\"17543168\"]\n  26 -> 38 [size =\"17543168\"]\n  27 [size=\"153931093\", alpha=\"0.02\", expect_size=\"46179328\"] \n  27 -> 38 [size =\"46179328\"]\n  28 [size=\"111882240\", alpha=\"0.02\", expect_size=\"33564672\"] \n  28 -> 36 [size =\"33564672\"]\n  28 -> 38 [size =\"33564672\"]\n  29 [size=\"77260800\", alpha=\"0.03\", expect_size=\"23178240\"] \n  30 [size=\"137052160\", alpha=\"0.19\", expect_size=\"41115648\"] \n  31 [size=\"78510080\", alpha=\"0.08\", expect_size=\"23553024\"] \n  32 [size=\"97116160\", alpha=\"0.05\", expect_size=\"29134848\"] \n  33 [size=\"109902507\", alpha=\"0.04\", expect_size=\"32970752\"] \n  34 [size=\"171741867\", alpha=\"0.01\", expect_size=\"51522560\"] \n  35 [size=\"172806827\", alpha=\"0.04\", expect_size=\"51842048\"] \n  36 [size=\"45953707\", alpha=\"0.03\", expect_size=\"13786112\"] \n  37 [size=\"46458880\", alpha=\"0.06\", expect_size=\"13937664\"] \n  38 [size=\"61269333\", alpha=\"0.15\", expect_size=\"18380800\"] \n  39 [size=\"78049280\", alpha=\"0.13\", expect_size=\"23414784\"] \n  40 [size=\"98549760\", alpha=\"0.08\", expect_size=\"29564928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61605888\", alpha=\"0.02\", expect_size=\"30802944\"] \n  1 -> 6 [size =\"30802944\"]\n  2 [size=\"102434816\", alpha=\"0.02\", expect_size=\"51217408\"] \n  2 -> 4 [size =\"51217408\"]\n  2 -> 5 [size =\"51217408\"]\n  3 [size=\"56203264\", alpha=\"0.12\", expect_size=\"28101632\"] \n  3 -> 6 [size =\"28101632\"]\n  4 [size=\"81326080\", alpha=\"0.02\", expect_size=\"40663040\"] \n  4 -> 7 [size =\"40663040\"]\n  5 [size=\"92162048\", alpha=\"0.05\", expect_size=\"46081024\"] \n  5 -> 7 [size =\"46081024\"]\n  5 -> 8 [size =\"46081024\"]\n  5 -> 9 [size =\"46081024\"]\n  6 [size=\"58537984\", alpha=\"0.02\", expect_size=\"29268992\"] \n  6 -> 9 [size =\"29268992\"]\n  7 [size=\"97579008\", alpha=\"0.17\", expect_size=\"48789504\"] \n  7 -> 10 [size =\"48789504\"]\n  7 -> 11 [size =\"48789504\"]\n  8 [size=\"47349760\", alpha=\"0.17\", expect_size=\"23674880\"] \n  8 -> 11 [size =\"23674880\"]\n  9 [size=\"67532800\", alpha=\"0.06\", expect_size=\"33766400\"] \n  10 [size=\"88934400\", alpha=\"0.18\", expect_size=\"44467200\"] \n  10 -> 12 [size =\"44467200\"]\n  10 -> 13 [size =\"44467200\"]\n  10 -> 14 [size =\"44467200\"]\n  11 [size=\"47937536\", alpha=\"0.17\", expect_size=\"23968768\"] \n  12 [size=\"57382912\", alpha=\"0.09\", expect_size=\"28691456\"] \n  12 -> 15 [size =\"28691456\"]\n  13 [size=\"68931584\", alpha=\"0.04\", expect_size=\"34465792\"] \n  13 -> 15 [size =\"34465792\"]\n  13 -> 16 [size =\"34465792\"]\n  13 -> 17 [size =\"34465792\"]\n  14 [size=\"29806592\", alpha=\"0.04\", expect_size=\"14903296\"] \n  15 [size=\"41289728\", alpha=\"0.11\", expect_size=\"20644864\"] \n  15 -> 18 [size =\"20644864\"]\n  15 -> 19 [size =\"20644864\"]\n  16 [size=\"64051200\", alpha=\"0.14\", expect_size=\"32025600\"] \n  16 -> 19 [size =\"32025600\"]\n  17 [size=\"72058880\", alpha=\"0.15\", expect_size=\"36029440\"] \n  18 [size=\"60131328\", alpha=\"0.02\", expect_size=\"30065664\"] \n  18 -> 20 [size =\"30065664\"]\n  18 -> 21 [size =\"30065664\"]\n  19 [size=\"44077056\", alpha=\"0.14\", expect_size=\"22038528\"] \n  20 [size=\"70559744\", alpha=\"0.13\", expect_size=\"35279872\"] \n  20 -> 22 [size =\"35279872\"]\n  20 -> 23 [size =\"35279872\"]\n  21 [size=\"63150080\", alpha=\"0.03\", expect_size=\"31575040\"] \n  21 -> 24 [size =\"31575040\"]\n  22 [size=\"49387520\", alpha=\"0.12\", expect_size=\"24693760\"] \n  22 -> 25 [size =\"24693760\"]\n  22 -> 26 [size =\"24693760\"]\n  23 [size=\"89982976\", alpha=\"0.12\", expect_size=\"44991488\"] \n  23 -> 26 [size =\"44991488\"]\n  24 [size=\"13815808\", alpha=\"0.06\", expect_size=\"6907904\"] \n  25 [size=\"31821824\", alpha=\"0.17\", expect_size=\"15910912\"] \n  25 -> 27 [size =\"15910912\"]\n  25 -> 28 [size =\"15910912\"]\n  26 [size=\"82432000\", alpha=\"0.19\", expect_size=\"41216000\"] \n  27 [size=\"56113152\", alpha=\"0.19\", expect_size=\"28056576\"] \n  27 -> 29 [size =\"28056576\"]\n  28 [size=\"33208320\", alpha=\"0.07\", expect_size=\"16604160\"] \n  28 -> 30 [size =\"16604160\"]\n  29 [size=\"42827776\", alpha=\"0.07\", expect_size=\"21413888\"] \n  29 -> 32 [size =\"21413888\"]\n  30 [size=\"14241792\", alpha=\"0.03\", expect_size=\"7120896\"] \n  30 -> 31 [size =\"7120896\"]\n  31 [size=\"75884544\", alpha=\"0.08\", expect_size=\"37942272\"] \n  31 -> 34 [size =\"37942272\"]\n  32 [size=\"90130432\", alpha=\"0.03\", expect_size=\"45065216\"] \n  32 -> 33 [size =\"45065216\"]\n  33 [size=\"54558720\", alpha=\"0.09\", expect_size=\"27279360\"] \n  33 -> 35 [size =\"27279360\"]\n  33 -> 37 [size =\"27279360\"]\n  34 [size=\"14888960\", alpha=\"0.00\", expect_size=\"7444480\"] \n  34 -> 36 [size =\"7444480\"]\n  35 [size=\"41961472\", alpha=\"0.18\", expect_size=\"20980736\"] \n  36 [size=\"28706816\", alpha=\"0.07\", expect_size=\"14353408\"] \n  36 -> 38 [size =\"14353408\"]\n  36 -> 39 [size =\"14353408\"]\n  36 -> 40 [size =\"14353408\"]\n  37 [size=\"23181312\", alpha=\"0.09\", expect_size=\"11590656\"] \n  38 [size=\"18104320\", alpha=\"0.01\", expect_size=\"9052160\"] \n  39 [size=\"50339840\", alpha=\"0.01\", expect_size=\"25169920\"] \n  40 [size=\"82569216\", alpha=\"0.13\", expect_size=\"41284608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99995648\", alpha=\"0.04\", expect_size=\"49997824\"] \n  1 -> 29 [size =\"49997824\"]\n  1 -> 30 [size =\"49997824\"]\n  1 -> 31 [size =\"49997824\"]\n  1 -> 34 [size =\"49997824\"]\n  1 -> 35 [size =\"49997824\"]\n  1 -> 39 [size =\"49997824\"]\n  2 [size=\"79366144\", alpha=\"0.08\", expect_size=\"39683072\"] \n  2 -> 32 [size =\"39683072\"]\n  2 -> 33 [size =\"39683072\"]\n  2 -> 35 [size =\"39683072\"]\n  2 -> 36 [size =\"39683072\"]\n  2 -> 38 [size =\"39683072\"]\n  2 -> 39 [size =\"39683072\"]\n  2 -> 40 [size =\"39683072\"]\n  3 [size=\"16787456\", alpha=\"0.15\", expect_size=\"8393728\"] \n  3 -> 29 [size =\"8393728\"]\n  3 -> 35 [size =\"8393728\"]\n  3 -> 38 [size =\"8393728\"]\n  3 -> 39 [size =\"8393728\"]\n  4 [size=\"83544064\", alpha=\"0.19\", expect_size=\"41772032\"] \n  4 -> 29 [size =\"41772032\"]\n  4 -> 34 [size =\"41772032\"]\n  4 -> 35 [size =\"41772032\"]\n  4 -> 39 [size =\"41772032\"]\n  4 -> 40 [size =\"41772032\"]\n  5 [size=\"69363712\", alpha=\"0.18\", expect_size=\"34681856\"] \n  5 -> 29 [size =\"34681856\"]\n  5 -> 34 [size =\"34681856\"]\n  5 -> 35 [size =\"34681856\"]\n  5 -> 38 [size =\"34681856\"]\n  5 -> 39 [size =\"34681856\"]\n  5 -> 40 [size =\"34681856\"]\n  6 [size=\"101210112\", alpha=\"0.16\", expect_size=\"50605056\"] \n  6 -> 36 [size =\"50605056\"]\n  6 -> 40 [size =\"50605056\"]\n  7 [size=\"78555136\", alpha=\"0.18\", expect_size=\"39277568\"] \n  7 -> 33 [size =\"39277568\"]\n  7 -> 36 [size =\"39277568\"]\n  8 [size=\"11071488\", alpha=\"0.14\", expect_size=\"5535744\"] \n  9 [size=\"97265664\", alpha=\"0.11\", expect_size=\"48632832\"] \n  9 -> 34 [size =\"48632832\"]\n  9 -> 36 [size =\"48632832\"]\n  10 [size=\"55451648\", alpha=\"0.08\", expect_size=\"27725824\"] \n  10 -> 30 [size =\"27725824\"]\n  10 -> 35 [size =\"27725824\"]\n  10 -> 40 [size =\"27725824\"]\n  11 [size=\"71217152\", alpha=\"0.20\", expect_size=\"35608576\"] \n  11 -> 30 [size =\"35608576\"]\n  11 -> 31 [size =\"35608576\"]\n  11 -> 34 [size =\"35608576\"]\n  11 -> 38 [size =\"35608576\"]\n  11 -> 39 [size =\"35608576\"]\n  12 [size=\"92108800\", alpha=\"0.03\", expect_size=\"46054400\"] \n  12 -> 30 [size =\"46054400\"]\n  12 -> 31 [size =\"46054400\"]\n  12 -> 34 [size =\"46054400\"]\n  12 -> 35 [size =\"46054400\"]\n  12 -> 38 [size =\"46054400\"]\n  12 -> 40 [size =\"46054400\"]\n  13 [size=\"35584000\", alpha=\"0.11\", expect_size=\"17792000\"] \n  13 -> 31 [size =\"17792000\"]\n  13 -> 34 [size =\"17792000\"]\n  13 -> 39 [size =\"17792000\"]\n  14 [size=\"14125056\", alpha=\"0.02\", expect_size=\"7062528\"] \n  14 -> 30 [size =\"7062528\"]\n  14 -> 32 [size =\"7062528\"]\n  14 -> 34 [size =\"7062528\"]\n  14 -> 37 [size =\"7062528\"]\n  14 -> 39 [size =\"7062528\"]\n  14 -> 40 [size =\"7062528\"]\n  15 [size=\"11132928\", alpha=\"0.11\", expect_size=\"5566464\"] \n  15 -> 30 [size =\"5566464\"]\n  15 -> 33 [size =\"5566464\"]\n  15 -> 38 [size =\"5566464\"]\n  15 -> 39 [size =\"5566464\"]\n  15 -> 40 [size =\"5566464\"]\n  16 [size=\"96976896\", alpha=\"0.11\", expect_size=\"48488448\"] \n  16 -> 29 [size =\"48488448\"]\n  16 -> 30 [size =\"48488448\"]\n  16 -> 31 [size =\"48488448\"]\n  16 -> 32 [size =\"48488448\"]\n  16 -> 33 [size =\"48488448\"]\n  16 -> 34 [size =\"48488448\"]\n  16 -> 38 [size =\"48488448\"]\n  17 [size=\"78452736\", alpha=\"0.16\", expect_size=\"39226368\"] \n  17 -> 29 [size =\"39226368\"]\n  17 -> 30 [size =\"39226368\"]\n  17 -> 33 [size =\"39226368\"]\n  17 -> 35 [size =\"39226368\"]\n  17 -> 38 [size =\"39226368\"]\n  17 -> 39 [size =\"39226368\"]\n  17 -> 40 [size =\"39226368\"]\n  18 [size=\"68716544\", alpha=\"0.07\", expect_size=\"34358272\"] \n  18 -> 29 [size =\"34358272\"]\n  18 -> 30 [size =\"34358272\"]\n  18 -> 33 [size =\"34358272\"]\n  18 -> 39 [size =\"34358272\"]\n  19 [size=\"42031104\", alpha=\"0.07\", expect_size=\"21015552\"] \n  19 -> 30 [size =\"21015552\"]\n  19 -> 30 [size =\"21015552\"]\n  19 -> 31 [size =\"21015552\"]\n  19 -> 34 [size =\"21015552\"]\n  19 -> 35 [size =\"21015552\"]\n  19 -> 38 [size =\"21015552\"]\n  19 -> 39 [size =\"21015552\"]\n  19 -> 40 [size =\"21015552\"]\n  20 [size=\"94859264\", alpha=\"0.16\", expect_size=\"47429632\"] \n  20 -> 29 [size =\"47429632\"]\n  20 -> 30 [size =\"47429632\"]\n  20 -> 31 [size =\"47429632\"]\n  20 -> 35 [size =\"47429632\"]\n  20 -> 38 [size =\"47429632\"]\n  20 -> 40 [size =\"47429632\"]\n  21 [size=\"40271872\", alpha=\"0.05\", expect_size=\"20135936\"] \n  21 -> 29 [size =\"20135936\"]\n  21 -> 30 [size =\"20135936\"]\n  21 -> 31 [size =\"20135936\"]\n  21 -> 33 [size =\"20135936\"]\n  21 -> 34 [size =\"20135936\"]\n  21 -> 35 [size =\"20135936\"]\n  22 [size=\"38090752\", alpha=\"0.08\", expect_size=\"19045376\"] \n  22 -> 30 [size =\"19045376\"]\n  22 -> 31 [size =\"19045376\"]\n  22 -> 33 [size =\"19045376\"]\n  22 -> 34 [size =\"19045376\"]\n  22 -> 34 [size =\"19045376\"]\n  22 -> 35 [size =\"19045376\"]\n  22 -> 38 [size =\"19045376\"]\n  22 -> 39 [size =\"19045376\"]\n  23 [size=\"53952512\", alpha=\"0.12\", expect_size=\"26976256\"] \n  23 -> 29 [size =\"26976256\"]\n  23 -> 31 [size =\"26976256\"]\n  23 -> 37 [size =\"26976256\"]\n  23 -> 38 [size =\"26976256\"]\n  23 -> 40 [size =\"26976256\"]\n  24 [size=\"11743232\", alpha=\"0.12\", expect_size=\"5871616\"] \n  24 -> 29 [size =\"5871616\"]\n  24 -> 31 [size =\"5871616\"]\n  24 -> 33 [size =\"5871616\"]\n  24 -> 35 [size =\"5871616\"]\n  24 -> 40 [size =\"5871616\"]\n  25 [size=\"19623936\", alpha=\"0.04\", expect_size=\"9811968\"] \n  25 -> 34 [size =\"9811968\"]\n  25 -> 35 [size =\"9811968\"]\n  25 -> 38 [size =\"9811968\"]\n  25 -> 40 [size =\"9811968\"]\n  25 -> 40 [size =\"9811968\"]\n  26 [size=\"73383936\", alpha=\"0.16\", expect_size=\"36691968\"] \n  26 -> 29 [size =\"36691968\"]\n  26 -> 31 [size =\"36691968\"]\n  26 -> 34 [size =\"36691968\"]\n  26 -> 36 [size =\"36691968\"]\n  26 -> 40 [size =\"36691968\"]\n  27 [size=\"31612928\", alpha=\"0.02\", expect_size=\"15806464\"] \n  27 -> 40 [size =\"15806464\"]\n  28 [size=\"11732992\", alpha=\"0.08\", expect_size=\"5866496\"] \n  28 -> 29 [size =\"5866496\"]\n  28 -> 30 [size =\"5866496\"]\n  29 [size=\"43327488\", alpha=\"0.13\", expect_size=\"21663744\"] \n  30 [size=\"76175360\", alpha=\"0.07\", expect_size=\"38087680\"] \n  31 [size=\"59326464\", alpha=\"0.14\", expect_size=\"29663232\"] \n  32 [size=\"82294784\", alpha=\"0.18\", expect_size=\"41147392\"] \n  33 [size=\"25217024\", alpha=\"0.07\", expect_size=\"12608512\"] \n  34 [size=\"83138560\", alpha=\"0.18\", expect_size=\"41569280\"] \n  35 [size=\"46004224\", alpha=\"0.08\", expect_size=\"23002112\"] \n  36 [size=\"67065856\", alpha=\"0.17\", expect_size=\"33532928\"] \n  37 [size=\"48304128\", alpha=\"0.20\", expect_size=\"24152064\"] \n  38 [size=\"57788416\", alpha=\"0.15\", expect_size=\"28894208\"] \n  39 [size=\"96106496\", alpha=\"0.18\", expect_size=\"48053248\"] \n  40 [size=\"61294592\", alpha=\"0.18\", expect_size=\"30647296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26228053\", alpha=\"0.02\", expect_size=\"7868416\"] \n  1 -> 16 [size =\"7868416\"]\n  1 -> 18 [size =\"7868416\"]\n  1 -> 19 [size =\"7868416\"]\n  1 -> 21 [size =\"7868416\"]\n  1 -> 24 [size =\"7868416\"]\n  1 -> 26 [size =\"7868416\"]\n  1 -> 27 [size =\"7868416\"]\n  1 -> 31 [size =\"7868416\"]\n  1 -> 34 [size =\"7868416\"]\n  1 -> 36 [size =\"7868416\"]\n  1 -> 38 [size =\"7868416\"]\n  1 -> 39 [size =\"7868416\"]\n  1 -> 40 [size =\"7868416\"]\n  2 [size=\"44793173\", alpha=\"0.10\", expect_size=\"13437952\"] \n  2 -> 16 [size =\"13437952\"]\n  2 -> 19 [size =\"13437952\"]\n  2 -> 21 [size =\"13437952\"]\n  2 -> 23 [size =\"13437952\"]\n  2 -> 24 [size =\"13437952\"]\n  2 -> 26 [size =\"13437952\"]\n  2 -> 27 [size =\"13437952\"]\n  2 -> 29 [size =\"13437952\"]\n  2 -> 39 [size =\"13437952\"]\n  3 [size=\"124470613\", alpha=\"0.06\", expect_size=\"37341184\"] \n  3 -> 16 [size =\"37341184\"]\n  3 -> 17 [size =\"37341184\"]\n  3 -> 18 [size =\"37341184\"]\n  3 -> 19 [size =\"37341184\"]\n  3 -> 21 [size =\"37341184\"]\n  3 -> 23 [size =\"37341184\"]\n  3 -> 24 [size =\"37341184\"]\n  3 -> 26 [size =\"37341184\"]\n  3 -> 27 [size =\"37341184\"]\n  3 -> 29 [size =\"37341184\"]\n  3 -> 32 [size =\"37341184\"]\n  3 -> 33 [size =\"37341184\"]\n  3 -> 36 [size =\"37341184\"]\n  3 -> 37 [size =\"37341184\"]\n  3 -> 39 [size =\"37341184\"]\n  4 [size=\"33324373\", alpha=\"0.11\", expect_size=\"9997312\"] \n  4 -> 16 [size =\"9997312\"]\n  4 -> 18 [size =\"9997312\"]\n  4 -> 21 [size =\"9997312\"]\n  4 -> 24 [size =\"9997312\"]\n  4 -> 26 [size =\"9997312\"]\n  4 -> 27 [size =\"9997312\"]\n  4 -> 32 [size =\"9997312\"]\n  4 -> 33 [size =\"9997312\"]\n  4 -> 36 [size =\"9997312\"]\n  4 -> 37 [size =\"9997312\"]\n  5 [size=\"113462613\", alpha=\"0.05\", expect_size=\"34038784\"] \n  5 -> 19 [size =\"34038784\"]\n  5 -> 21 [size =\"34038784\"]\n  5 -> 24 [size =\"34038784\"]\n  5 -> 24 [size =\"34038784\"]\n  5 -> 25 [size =\"34038784\"]\n  5 -> 26 [size =\"34038784\"]\n  5 -> 27 [size =\"34038784\"]\n  5 -> 29 [size =\"34038784\"]\n  5 -> 35 [size =\"34038784\"]\n  5 -> 37 [size =\"34038784\"]\n  6 [size=\"95074987\", alpha=\"0.03\", expect_size=\"28522496\"] \n  6 -> 16 [size =\"28522496\"]\n  6 -> 19 [size =\"28522496\"]\n  6 -> 20 [size =\"28522496\"]\n  6 -> 26 [size =\"28522496\"]\n  6 -> 27 [size =\"28522496\"]\n  6 -> 28 [size =\"28522496\"]\n  6 -> 29 [size =\"28522496\"]\n  6 -> 30 [size =\"28522496\"]\n  6 -> 34 [size =\"28522496\"]\n  6 -> 36 [size =\"28522496\"]\n  6 -> 37 [size =\"28522496\"]\n  7 [size=\"154286080\", alpha=\"0.06\", expect_size=\"46285824\"] \n  7 -> 16 [size =\"46285824\"]\n  7 -> 19 [size =\"46285824\"]\n  7 -> 20 [size =\"46285824\"]\n  7 -> 22 [size =\"46285824\"]\n  7 -> 23 [size =\"46285824\"]\n  7 -> 26 [size =\"46285824\"]\n  7 -> 27 [size =\"46285824\"]\n  7 -> 29 [size =\"46285824\"]\n  7 -> 30 [size =\"46285824\"]\n  7 -> 32 [size =\"46285824\"]\n  7 -> 33 [size =\"46285824\"]\n  7 -> 34 [size =\"46285824\"]\n  7 -> 36 [size =\"46285824\"]\n  7 -> 39 [size =\"46285824\"]\n  7 -> 40 [size =\"46285824\"]\n  8 [size=\"135837013\", alpha=\"0.13\", expect_size=\"40751104\"] \n  8 -> 16 [size =\"40751104\"]\n  8 -> 19 [size =\"40751104\"]\n  8 -> 20 [size =\"40751104\"]\n  8 -> 26 [size =\"40751104\"]\n  8 -> 27 [size =\"40751104\"]\n  8 -> 28 [size =\"40751104\"]\n  8 -> 29 [size =\"40751104\"]\n  8 -> 34 [size =\"40751104\"]\n  8 -> 39 [size =\"40751104\"]\n  9 [size=\"150128640\", alpha=\"0.15\", expect_size=\"45038592\"] \n  9 -> 16 [size =\"45038592\"]\n  9 -> 19 [size =\"45038592\"]\n  9 -> 26 [size =\"45038592\"]\n  9 -> 26 [size =\"45038592\"]\n  9 -> 30 [size =\"45038592\"]\n  9 -> 33 [size =\"45038592\"]\n  9 -> 34 [size =\"45038592\"]\n  9 -> 39 [size =\"45038592\"]\n  9 -> 39 [size =\"45038592\"]\n  9 -> 40 [size =\"45038592\"]\n  10 [size=\"113199787\", alpha=\"0.16\", expect_size=\"33959936\"] \n  10 -> 16 [size =\"33959936\"]\n  10 -> 17 [size =\"33959936\"]\n  10 -> 19 [size =\"33959936\"]\n  10 -> 20 [size =\"33959936\"]\n  10 -> 21 [size =\"33959936\"]\n  10 -> 24 [size =\"33959936\"]\n  10 -> 28 [size =\"33959936\"]\n  10 -> 29 [size =\"33959936\"]\n  10 -> 32 [size =\"33959936\"]\n  10 -> 35 [size =\"33959936\"]\n  10 -> 40 [size =\"33959936\"]\n  11 [size=\"33488213\", alpha=\"0.10\", expect_size=\"10046464\"] \n  11 -> 16 [size =\"10046464\"]\n  11 -> 19 [size =\"10046464\"]\n  11 -> 19 [size =\"10046464\"]\n  11 -> 21 [size =\"10046464\"]\n  11 -> 24 [size =\"10046464\"]\n  11 -> 24 [size =\"10046464\"]\n  11 -> 27 [size =\"10046464\"]\n  11 -> 29 [size =\"10046464\"]\n  11 -> 38 [size =\"10046464\"]\n  11 -> 39 [size =\"10046464\"]\n  11 -> 40 [size =\"10046464\"]\n  12 [size=\"47544320\", alpha=\"0.09\", expect_size=\"14263296\"] \n  12 -> 16 [size =\"14263296\"]\n  12 -> 17 [size =\"14263296\"]\n  12 -> 19 [size =\"14263296\"]\n  12 -> 21 [size =\"14263296\"]\n  12 -> 22 [size =\"14263296\"]\n  12 -> 24 [size =\"14263296\"]\n  12 -> 25 [size =\"14263296\"]\n  12 -> 26 [size =\"14263296\"]\n  12 -> 27 [size =\"14263296\"]\n  12 -> 35 [size =\"14263296\"]\n  12 -> 36 [size =\"14263296\"]\n  12 -> 40 [size =\"14263296\"]\n  13 [size=\"124750507\", alpha=\"0.10\", expect_size=\"37425152\"] \n  13 -> 16 [size =\"37425152\"]\n  13 -> 17 [size =\"37425152\"]\n  13 -> 19 [size =\"37425152\"]\n  13 -> 20 [size =\"37425152\"]\n  13 -> 24 [size =\"37425152\"]\n  13 -> 25 [size =\"37425152\"]\n  13 -> 26 [size =\"37425152\"]\n  13 -> 28 [size =\"37425152\"]\n  13 -> 30 [size =\"37425152\"]\n  13 -> 33 [size =\"37425152\"]\n  13 -> 37 [size =\"37425152\"]\n  13 -> 38 [size =\"37425152\"]\n  13 -> 39 [size =\"37425152\"]\n  14 [size=\"170547200\", alpha=\"0.06\", expect_size=\"51164160\"] \n  14 -> 16 [size =\"51164160\"]\n  14 -> 17 [size =\"51164160\"]\n  14 -> 18 [size =\"51164160\"]\n  14 -> 21 [size =\"51164160\"]\n  14 -> 23 [size =\"51164160\"]\n  14 -> 24 [size =\"51164160\"]\n  14 -> 26 [size =\"51164160\"]\n  14 -> 28 [size =\"51164160\"]\n  14 -> 29 [size =\"51164160\"]\n  14 -> 30 [size =\"51164160\"]\n  14 -> 33 [size =\"51164160\"]\n  14 -> 36 [size =\"51164160\"]\n  14 -> 37 [size =\"51164160\"]\n  14 -> 38 [size =\"51164160\"]\n  14 -> 40 [size =\"51164160\"]\n  15 [size=\"103120213\", alpha=\"0.05\", expect_size=\"30936064\"] \n  15 -> 16 [size =\"30936064\"]\n  15 -> 17 [size =\"30936064\"]\n  15 -> 22 [size =\"30936064\"]\n  15 -> 23 [size =\"30936064\"]\n  15 -> 24 [size =\"30936064\"]\n  15 -> 28 [size =\"30936064\"]\n  15 -> 29 [size =\"30936064\"]\n  15 -> 32 [size =\"30936064\"]\n  15 -> 37 [size =\"30936064\"]\n  15 -> 38 [size =\"30936064\"]\n  15 -> 39 [size =\"30936064\"]\n  15 -> 40 [size =\"30936064\"]\n  16 [size=\"145926827\", alpha=\"0.02\", expect_size=\"43778048\"] \n  17 [size=\"165836800\", alpha=\"0.09\", expect_size=\"49751040\"] \n  18 [size=\"55985493\", alpha=\"0.19\", expect_size=\"16795648\"] \n  19 [size=\"162143573\", alpha=\"0.07\", expect_size=\"48643072\"] \n  20 [size=\"121873067\", alpha=\"0.02\", expect_size=\"36561920\"] \n  21 [size=\"93979307\", alpha=\"0.17\", expect_size=\"28193792\"] \n  22 [size=\"18247680\", alpha=\"0.16\", expect_size=\"5474304\"] \n  23 [size=\"86244693\", alpha=\"0.08\", expect_size=\"25873408\"] \n  24 [size=\"162884267\", alpha=\"0.03\", expect_size=\"48865280\"] \n  25 [size=\"56248320\", alpha=\"0.10\", expect_size=\"16874496\"] \n  26 [size=\"92334080\", alpha=\"0.06\", expect_size=\"27700224\"] \n  27 [size=\"109073067\", alpha=\"0.00\", expect_size=\"32721920\"] \n  28 [size=\"22664533\", alpha=\"0.09\", expect_size=\"6799360\"] \n  29 [size=\"173704533\", alpha=\"0.15\", expect_size=\"52111360\"] \n  30 [size=\"74758827\", alpha=\"0.13\", expect_size=\"22427648\"] \n  31 [size=\"88040107\", alpha=\"0.13\", expect_size=\"26412032\"] \n  32 [size=\"65010347\", alpha=\"0.17\", expect_size=\"19503104\"] \n  33 [size=\"32989867\", alpha=\"0.14\", expect_size=\"9896960\"] \n  34 [size=\"98969600\", alpha=\"0.11\", expect_size=\"29690880\"] \n  35 [size=\"121521493\", alpha=\"0.19\", expect_size=\"36456448\"] \n  36 [size=\"39342080\", alpha=\"0.04\", expect_size=\"11802624\"] \n  37 [size=\"87319893\", alpha=\"0.07\", expect_size=\"26195968\"] \n  38 [size=\"87695360\", alpha=\"0.15\", expect_size=\"26308608\"] \n  39 [size=\"158829227\", alpha=\"0.01\", expect_size=\"47648768\"] \n  40 [size=\"118804480\", alpha=\"0.01\", expect_size=\"35641344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63764480\", alpha=\"0.02\", expect_size=\"19129344\"] \n  1 -> 3 [size =\"19129344\"]\n  1 -> 4 [size =\"19129344\"]\n  2 [size=\"32675840\", alpha=\"0.18\", expect_size=\"9802752\"] \n  2 -> 3 [size =\"9802752\"]\n  2 -> 4 [size =\"9802752\"]\n  3 [size=\"76847787\", alpha=\"0.02\", expect_size=\"23054336\"] \n  3 -> 5 [size =\"23054336\"]\n  3 -> 6 [size =\"23054336\"]\n  3 -> 7 [size =\"23054336\"]\n  4 [size=\"172625920\", alpha=\"0.11\", expect_size=\"51787776\"] \n  4 -> 5 [size =\"51787776\"]\n  4 -> 6 [size =\"51787776\"]\n  5 [size=\"106547200\", alpha=\"0.14\", expect_size=\"31964160\"] \n  5 -> 8 [size =\"31964160\"]\n  5 -> 10 [size =\"31964160\"]\n  6 [size=\"143544320\", alpha=\"0.07\", expect_size=\"43063296\"] \n  6 -> 8 [size =\"43063296\"]\n  6 -> 9 [size =\"43063296\"]\n  6 -> 10 [size =\"43063296\"]\n  7 [size=\"126962347\", alpha=\"0.07\", expect_size=\"38088704\"] \n  7 -> 8 [size =\"38088704\"]\n  7 -> 9 [size =\"38088704\"]\n  7 -> 10 [size =\"38088704\"]\n  8 [size=\"29361493\", alpha=\"0.03\", expect_size=\"8808448\"] \n  8 -> 11 [size =\"8808448\"]\n  8 -> 12 [size =\"8808448\"]\n  8 -> 13 [size =\"8808448\"]\n  9 [size=\"80250880\", alpha=\"0.04\", expect_size=\"24075264\"] \n  9 -> 12 [size =\"24075264\"]\n  10 [size=\"116602880\", alpha=\"0.10\", expect_size=\"34980864\"] \n  10 -> 12 [size =\"34980864\"]\n  11 [size=\"88606720\", alpha=\"0.19\", expect_size=\"26582016\"] \n  11 -> 14 [size =\"26582016\"]\n  11 -> 15 [size =\"26582016\"]\n  12 [size=\"107134293\", alpha=\"0.04\", expect_size=\"32140288\"] \n  12 -> 14 [size =\"32140288\"]\n  13 [size=\"93992960\", alpha=\"0.18\", expect_size=\"28197888\"] \n  13 -> 14 [size =\"28197888\"]\n  13 -> 15 [size =\"28197888\"]\n  14 [size=\"112885760\", alpha=\"0.08\", expect_size=\"33865728\"] \n  14 -> 16 [size =\"33865728\"]\n  14 -> 17 [size =\"33865728\"]\n  14 -> 18 [size =\"33865728\"]\n  15 [size=\"38929067\", alpha=\"0.20\", expect_size=\"11678720\"] \n  15 -> 16 [size =\"11678720\"]\n  15 -> 18 [size =\"11678720\"]\n  16 [size=\"146619733\", alpha=\"0.11\", expect_size=\"43985920\"] \n  16 -> 19 [size =\"43985920\"]\n  16 -> 20 [size =\"43985920\"]\n  17 [size=\"43144533\", alpha=\"0.08\", expect_size=\"12943360\"] \n  17 -> 19 [size =\"12943360\"]\n  17 -> 20 [size =\"12943360\"]\n  18 [size=\"96720213\", alpha=\"0.18\", expect_size=\"29016064\"] \n  18 -> 19 [size =\"29016064\"]\n  18 -> 20 [size =\"29016064\"]\n  19 [size=\"120562347\", alpha=\"0.09\", expect_size=\"36168704\"] \n  19 -> 21 [size =\"36168704\"]\n  19 -> 23 [size =\"36168704\"]\n  20 [size=\"150896640\", alpha=\"0.03\", expect_size=\"45268992\"] \n  20 -> 21 [size =\"45268992\"]\n  20 -> 22 [size =\"45268992\"]\n  21 [size=\"69492053\", alpha=\"0.02\", expect_size=\"20847616\"] \n  21 -> 24 [size =\"20847616\"]\n  21 -> 25 [size =\"20847616\"]\n  21 -> 26 [size =\"20847616\"]\n  22 [size=\"60596907\", alpha=\"0.03\", expect_size=\"18179072\"] \n  22 -> 24 [size =\"18179072\"]\n  22 -> 25 [size =\"18179072\"]\n  23 [size=\"92996267\", alpha=\"0.12\", expect_size=\"27898880\"] \n  23 -> 24 [size =\"27898880\"]\n  23 -> 25 [size =\"27898880\"]\n  23 -> 26 [size =\"27898880\"]\n  24 [size=\"79110827\", alpha=\"0.20\", expect_size=\"23733248\"] \n  24 -> 27 [size =\"23733248\"]\n  24 -> 28 [size =\"23733248\"]\n  25 [size=\"144878933\", alpha=\"0.20\", expect_size=\"43463680\"] \n  25 -> 27 [size =\"43463680\"]\n  25 -> 28 [size =\"43463680\"]\n  26 [size=\"143534080\", alpha=\"0.15\", expect_size=\"43060224\"] \n  26 -> 27 [size =\"43060224\"]\n  26 -> 28 [size =\"43060224\"]\n  27 [size=\"69812907\", alpha=\"0.05\", expect_size=\"20943872\"] \n  27 -> 29 [size =\"20943872\"]\n  27 -> 30 [size =\"20943872\"]\n  28 [size=\"134447787\", alpha=\"0.16\", expect_size=\"40334336\"] \n  28 -> 29 [size =\"40334336\"]\n  28 -> 30 [size =\"40334336\"]\n  29 [size=\"117439147\", alpha=\"0.15\", expect_size=\"35231744\"] \n  29 -> 32 [size =\"35231744\"]\n  30 [size=\"33252693\", alpha=\"0.07\", expect_size=\"9975808\"] \n  30 -> 31 [size =\"9975808\"]\n  31 [size=\"53613227\", alpha=\"0.08\", expect_size=\"16083968\"] \n  31 -> 33 [size =\"16083968\"]\n  31 -> 34 [size =\"16083968\"]\n  32 [size=\"67525973\", alpha=\"0.00\", expect_size=\"20257792\"] \n  32 -> 33 [size =\"20257792\"]\n  32 -> 34 [size =\"20257792\"]\n  33 [size=\"90190507\", alpha=\"0.02\", expect_size=\"27057152\"] \n  33 -> 35 [size =\"27057152\"]\n  33 -> 36 [size =\"27057152\"]\n  34 [size=\"23691947\", alpha=\"0.16\", expect_size=\"7107584\"] \n  34 -> 35 [size =\"7107584\"]\n  34 -> 36 [size =\"7107584\"]\n  35 [size=\"23183360\", alpha=\"0.13\", expect_size=\"6955008\"] \n  35 -> 37 [size =\"6955008\"]\n  35 -> 38 [size =\"6955008\"]\n  36 [size=\"20452693\", alpha=\"0.06\", expect_size=\"6135808\"] \n  36 -> 37 [size =\"6135808\"]\n  36 -> 38 [size =\"6135808\"]\n  37 [size=\"141571413\", alpha=\"0.03\", expect_size=\"42471424\"] \n  37 -> 39 [size =\"42471424\"]\n  38 [size=\"24159573\", alpha=\"0.09\", expect_size=\"7247872\"] \n  38 -> 39 [size =\"7247872\"]\n  38 -> 40 [size =\"7247872\"]\n  39 [size=\"151971840\", alpha=\"0.09\", expect_size=\"45591552\"] \n  40 [size=\"115916800\", alpha=\"0.06\", expect_size=\"34775040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82061312\", alpha=\"0.14\", expect_size=\"41030656\"] \n  1 -> 17 [size =\"41030656\"]\n  1 -> 27 [size =\"41030656\"]\n  2 [size=\"54331392\", alpha=\"0.20\", expect_size=\"27165696\"] \n  2 -> 17 [size =\"27165696\"]\n  2 -> 18 [size =\"27165696\"]\n  2 -> 21 [size =\"27165696\"]\n  2 -> 23 [size =\"27165696\"]\n  2 -> 28 [size =\"27165696\"]\n  3 [size=\"42260480\", alpha=\"0.17\", expect_size=\"21130240\"] \n  3 -> 17 [size =\"21130240\"]\n  3 -> 20 [size =\"21130240\"]\n  3 -> 21 [size =\"21130240\"]\n  3 -> 22 [size =\"21130240\"]\n  3 -> 25 [size =\"21130240\"]\n  3 -> 27 [size =\"21130240\"]\n  4 [size=\"41426944\", alpha=\"0.14\", expect_size=\"20713472\"] \n  4 -> 17 [size =\"20713472\"]\n  4 -> 20 [size =\"20713472\"]\n  4 -> 21 [size =\"20713472\"]\n  4 -> 22 [size =\"20713472\"]\n  4 -> 23 [size =\"20713472\"]\n  4 -> 25 [size =\"20713472\"]\n  4 -> 28 [size =\"20713472\"]\n  5 [size=\"74399744\", alpha=\"0.17\", expect_size=\"37199872\"] \n  5 -> 18 [size =\"37199872\"]\n  5 -> 19 [size =\"37199872\"]\n  5 -> 20 [size =\"37199872\"]\n  5 -> 21 [size =\"37199872\"]\n  5 -> 25 [size =\"37199872\"]\n  5 -> 27 [size =\"37199872\"]\n  6 [size=\"98449408\", alpha=\"0.17\", expect_size=\"49224704\"] \n  6 -> 19 [size =\"49224704\"]\n  6 -> 20 [size =\"49224704\"]\n  6 -> 22 [size =\"49224704\"]\n  6 -> 24 [size =\"49224704\"]\n  7 [size=\"87025664\", alpha=\"0.03\", expect_size=\"43512832\"] \n  7 -> 17 [size =\"43512832\"]\n  7 -> 20 [size =\"43512832\"]\n  7 -> 21 [size =\"43512832\"]\n  7 -> 22 [size =\"43512832\"]\n  7 -> 27 [size =\"43512832\"]\n  8 [size=\"16685056\", alpha=\"0.18\", expect_size=\"8342528\"] \n  8 -> 16 [size =\"8342528\"]\n  8 -> 26 [size =\"8342528\"]\n  8 -> 27 [size =\"8342528\"]\n  9 [size=\"76490752\", alpha=\"0.16\", expect_size=\"38245376\"] \n  9 -> 20 [size =\"38245376\"]\n  9 -> 27 [size =\"38245376\"]\n  10 [size=\"64100352\", alpha=\"0.17\", expect_size=\"32050176\"] \n  10 -> 16 [size =\"32050176\"]\n  10 -> 24 [size =\"32050176\"]\n  10 -> 26 [size =\"32050176\"]\n  11 [size=\"91858944\", alpha=\"0.13\", expect_size=\"45929472\"] \n  11 -> 16 [size =\"45929472\"]\n  11 -> 17 [size =\"45929472\"]\n  11 -> 21 [size =\"45929472\"]\n  11 -> 26 [size =\"45929472\"]\n  11 -> 27 [size =\"45929472\"]\n  12 [size=\"65083392\", alpha=\"0.07\", expect_size=\"32541696\"] \n  12 -> 17 [size =\"32541696\"]\n  12 -> 19 [size =\"32541696\"]\n  12 -> 20 [size =\"32541696\"]\n  12 -> 25 [size =\"32541696\"]\n  13 [size=\"62740480\", alpha=\"0.15\", expect_size=\"31370240\"] \n  13 -> 18 [size =\"31370240\"]\n  13 -> 19 [size =\"31370240\"]\n  14 [size=\"47427584\", alpha=\"0.16\", expect_size=\"23713792\"] \n  14 -> 16 [size =\"23713792\"]\n  14 -> 20 [size =\"23713792\"]\n  14 -> 23 [size =\"23713792\"]\n  15 [size=\"19249152\", alpha=\"0.03\", expect_size=\"9624576\"] \n  15 -> 20 [size =\"9624576\"]\n  16 [size=\"98383872\", alpha=\"0.17\", expect_size=\"49191936\"] \n  16 -> 29 [size =\"49191936\"]\n  16 -> 30 [size =\"49191936\"]\n  16 -> 34 [size =\"49191936\"]\n  17 [size=\"85198848\", alpha=\"0.09\", expect_size=\"42599424\"] \n  17 -> 32 [size =\"42599424\"]\n  17 -> 33 [size =\"42599424\"]\n  17 -> 35 [size =\"42599424\"]\n  17 -> 37 [size =\"42599424\"]\n  18 [size=\"99545088\", alpha=\"0.07\", expect_size=\"49772544\"] \n  18 -> 33 [size =\"49772544\"]\n  18 -> 35 [size =\"49772544\"]\n  19 [size=\"88397824\", alpha=\"0.11\", expect_size=\"44198912\"] \n  19 -> 30 [size =\"44198912\"]\n  19 -> 31 [size =\"44198912\"]\n  19 -> 34 [size =\"44198912\"]\n  19 -> 35 [size =\"44198912\"]\n  20 [size=\"68251648\", alpha=\"0.05\", expect_size=\"34125824\"] \n  20 -> 31 [size =\"34125824\"]\n  21 [size=\"54507520\", alpha=\"0.15\", expect_size=\"27253760\"] \n  21 -> 30 [size =\"27253760\"]\n  21 -> 37 [size =\"27253760\"]\n  22 [size=\"19691520\", alpha=\"0.14\", expect_size=\"9845760\"] \n  22 -> 32 [size =\"9845760\"]\n  22 -> 34 [size =\"9845760\"]\n  22 -> 35 [size =\"9845760\"]\n  23 [size=\"51550208\", alpha=\"0.20\", expect_size=\"25775104\"] \n  23 -> 30 [size =\"25775104\"]\n  23 -> 32 [size =\"25775104\"]\n  23 -> 33 [size =\"25775104\"]\n  24 [size=\"27631616\", alpha=\"0.12\", expect_size=\"13815808\"] \n  24 -> 30 [size =\"13815808\"]\n  24 -> 32 [size =\"13815808\"]\n  25 [size=\"104396800\", alpha=\"0.18\", expect_size=\"52198400\"] \n  25 -> 30 [size =\"52198400\"]\n  25 -> 31 [size =\"52198400\"]\n  25 -> 32 [size =\"52198400\"]\n  25 -> 36 [size =\"52198400\"]\n  26 [size=\"21968896\", alpha=\"0.03\", expect_size=\"10984448\"] \n  26 -> 32 [size =\"10984448\"]\n  26 -> 35 [size =\"10984448\"]\n  27 [size=\"102791168\", alpha=\"0.04\", expect_size=\"51395584\"] \n  27 -> 32 [size =\"51395584\"]\n  27 -> 33 [size =\"51395584\"]\n  27 -> 35 [size =\"51395584\"]\n  28 [size=\"52064256\", alpha=\"0.06\", expect_size=\"26032128\"] \n  28 -> 30 [size =\"26032128\"]\n  28 -> 32 [size =\"26032128\"]\n  28 -> 33 [size =\"26032128\"]\n  28 -> 35 [size =\"26032128\"]\n  28 -> 37 [size =\"26032128\"]\n  29 [size=\"85301248\", alpha=\"0.02\", expect_size=\"42650624\"] \n  29 -> 39 [size =\"42650624\"]\n  29 -> 40 [size =\"42650624\"]\n  30 [size=\"40658944\", alpha=\"0.09\", expect_size=\"20329472\"] \n  30 -> 38 [size =\"20329472\"]\n  30 -> 39 [size =\"20329472\"]\n  31 [size=\"65146880\", alpha=\"0.14\", expect_size=\"32573440\"] \n  31 -> 38 [size =\"32573440\"]\n  31 -> 39 [size =\"32573440\"]\n  32 [size=\"41605120\", alpha=\"0.10\", expect_size=\"20802560\"] \n  32 -> 40 [size =\"20802560\"]\n  33 [size=\"13873152\", alpha=\"0.18\", expect_size=\"6936576\"] \n  33 -> 38 [size =\"6936576\"]\n  34 [size=\"13731840\", alpha=\"0.13\", expect_size=\"6865920\"] \n  34 -> 38 [size =\"6865920\"]\n  34 -> 39 [size =\"6865920\"]\n  34 -> 40 [size =\"6865920\"]\n  35 [size=\"72120320\", alpha=\"0.10\", expect_size=\"36060160\"] \n  36 [size=\"64210944\", alpha=\"0.06\", expect_size=\"32105472\"] \n  37 [size=\"77967360\", alpha=\"0.17\", expect_size=\"38983680\"] \n  37 -> 38 [size =\"38983680\"]\n  37 -> 39 [size =\"38983680\"]\n  38 [size=\"95559680\", alpha=\"0.08\", expect_size=\"47779840\"] \n  39 [size=\"28815360\", alpha=\"0.15\", expect_size=\"14407680\"] \n  40 [size=\"38111232\", alpha=\"0.14\", expect_size=\"19055616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21657600\", alpha=\"0.14\", expect_size=\"6497280\"] \n  1 -> 3 [size =\"6497280\"]\n  1 -> 5 [size =\"6497280\"]\n  2 [size=\"55108267\", alpha=\"0.19\", expect_size=\"16532480\"] \n  2 -> 4 [size =\"16532480\"]\n  3 [size=\"127092053\", alpha=\"0.02\", expect_size=\"38127616\"] \n  4 [size=\"96211627\", alpha=\"0.15\", expect_size=\"28863488\"] \n  4 -> 6 [size =\"28863488\"]\n  4 -> 8 [size =\"28863488\"]\n  5 [size=\"152094720\", alpha=\"0.20\", expect_size=\"45628416\"] \n  5 -> 7 [size =\"45628416\"]\n  6 [size=\"164584107\", alpha=\"0.13\", expect_size=\"49375232\"] \n  6 -> 9 [size =\"49375232\"]\n  7 [size=\"74448213\", alpha=\"0.17\", expect_size=\"22334464\"] \n  7 -> 9 [size =\"22334464\"]\n  8 [size=\"141960533\", alpha=\"0.03\", expect_size=\"42588160\"] \n  8 -> 10 [size =\"42588160\"]\n  9 [size=\"84292267\", alpha=\"0.07\", expect_size=\"25287680\"] \n  9 -> 13 [size =\"25287680\"]\n  10 [size=\"104222720\", alpha=\"0.08\", expect_size=\"31266816\"] \n  10 -> 11 [size =\"31266816\"]\n  10 -> 12 [size =\"31266816\"]\n  11 [size=\"41946453\", alpha=\"0.15\", expect_size=\"12583936\"] \n  12 [size=\"152801280\", alpha=\"0.12\", expect_size=\"45840384\"] \n  12 -> 14 [size =\"45840384\"]\n  13 [size=\"144039253\", alpha=\"0.08\", expect_size=\"43211776\"] \n  13 -> 15 [size =\"43211776\"]\n  14 [size=\"156869973\", alpha=\"0.14\", expect_size=\"47060992\"] \n  14 -> 16 [size =\"47060992\"]\n  14 -> 17 [size =\"47060992\"]\n  15 [size=\"115507200\", alpha=\"0.09\", expect_size=\"34652160\"] \n  16 [size=\"111626240\", alpha=\"0.02\", expect_size=\"33487872\"] \n  16 -> 19 [size =\"33487872\"]\n  16 -> 20 [size =\"33487872\"]\n  17 [size=\"54947840\", alpha=\"0.07\", expect_size=\"16484352\"] \n  17 -> 18 [size =\"16484352\"]\n  18 [size=\"30962347\", alpha=\"0.03\", expect_size=\"9288704\"] \n  19 [size=\"54975147\", alpha=\"0.16\", expect_size=\"16492544\"] \n  19 -> 21 [size =\"16492544\"]\n  20 [size=\"113322667\", alpha=\"0.08\", expect_size=\"33996800\"] \n  20 -> 22 [size =\"33996800\"]\n  21 [size=\"19585707\", alpha=\"0.20\", expect_size=\"5875712\"] \n  21 -> 23 [size =\"5875712\"]\n  21 -> 24 [size =\"5875712\"]\n  21 -> 25 [size =\"5875712\"]\n  22 [size=\"133751467\", alpha=\"0.17\", expect_size=\"40125440\"] \n  23 [size=\"67249493\", alpha=\"0.07\", expect_size=\"20174848\"] \n  23 -> 28 [size =\"20174848\"]\n  24 [size=\"129908053\", alpha=\"0.08\", expect_size=\"38972416\"] \n  24 -> 26 [size =\"38972416\"]\n  25 [size=\"78950400\", alpha=\"0.06\", expect_size=\"23685120\"] \n  25 -> 26 [size =\"23685120\"]\n  25 -> 27 [size =\"23685120\"]\n  26 [size=\"148401493\", alpha=\"0.03\", expect_size=\"44520448\"] \n  26 -> 29 [size =\"44520448\"]\n  27 [size=\"161764693\", alpha=\"0.06\", expect_size=\"48529408\"] \n  27 -> 30 [size =\"48529408\"]\n  28 [size=\"59166720\", alpha=\"0.06\", expect_size=\"17750016\"] \n  28 -> 30 [size =\"17750016\"]\n  29 [size=\"83814400\", alpha=\"0.14\", expect_size=\"25144320\"] \n  29 -> 31 [size =\"25144320\"]\n  30 [size=\"54159360\", alpha=\"0.13\", expect_size=\"16247808\"] \n  30 -> 32 [size =\"16247808\"]\n  31 [size=\"114858667\", alpha=\"0.16\", expect_size=\"34457600\"] \n  31 -> 34 [size =\"34457600\"]\n  32 [size=\"112814080\", alpha=\"0.15\", expect_size=\"33844224\"] \n  32 -> 33 [size =\"33844224\"]\n  32 -> 35 [size =\"33844224\"]\n  33 [size=\"85661013\", alpha=\"0.11\", expect_size=\"25698304\"] \n  33 -> 36 [size =\"25698304\"]\n  33 -> 37 [size =\"25698304\"]\n  34 [size=\"143011840\", alpha=\"0.04\", expect_size=\"42903552\"] \n  35 [size=\"49032533\", alpha=\"0.10\", expect_size=\"14709760\"] \n  35 -> 37 [size =\"14709760\"]\n  36 [size=\"95638187\", alpha=\"0.08\", expect_size=\"28691456\"] \n  36 -> 38 [size =\"28691456\"]\n  36 -> 39 [size =\"28691456\"]\n  36 -> 40 [size =\"28691456\"]\n  37 [size=\"115360427\", alpha=\"0.10\", expect_size=\"34608128\"] \n  38 [size=\"165174613\", alpha=\"0.14\", expect_size=\"49552384\"] \n  39 [size=\"54992213\", alpha=\"0.03\", expect_size=\"16497664\"] \n  40 [size=\"166212267\", alpha=\"0.05\", expect_size=\"49863680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85312853\", alpha=\"0.08\", expect_size=\"25593856\"] \n  1 -> 6 [size =\"25593856\"]\n  1 -> 9 [size =\"25593856\"]\n  2 [size=\"26920960\", alpha=\"0.11\", expect_size=\"8076288\"] \n  3 [size=\"23394987\", alpha=\"0.18\", expect_size=\"7018496\"] \n  4 [size=\"155194027\", alpha=\"0.12\", expect_size=\"46558208\"] \n  4 -> 7 [size =\"46558208\"]\n  4 -> 10 [size =\"46558208\"]\n  5 [size=\"21555200\", alpha=\"0.13\", expect_size=\"6466560\"] \n  5 -> 8 [size =\"6466560\"]\n  6 [size=\"33003520\", alpha=\"0.10\", expect_size=\"9901056\"] \n  6 -> 12 [size =\"9901056\"]\n  6 -> 13 [size =\"9901056\"]\n  6 -> 14 [size =\"9901056\"]\n  6 -> 15 [size =\"9901056\"]\n  7 [size=\"133686613\", alpha=\"0.02\", expect_size=\"40105984\"] \n  7 -> 11 [size =\"40105984\"]\n  7 -> 12 [size =\"40105984\"]\n  7 -> 13 [size =\"40105984\"]\n  7 -> 14 [size =\"40105984\"]\n  7 -> 15 [size =\"40105984\"]\n  8 [size=\"165710507\", alpha=\"0.08\", expect_size=\"49713152\"] \n  8 -> 14 [size =\"49713152\"]\n  9 [size=\"41905493\", alpha=\"0.19\", expect_size=\"12571648\"] \n  9 -> 13 [size =\"12571648\"]\n  9 -> 14 [size =\"12571648\"]\n  10 [size=\"120217600\", alpha=\"0.03\", expect_size=\"36065280\"] \n  11 [size=\"143609173\", alpha=\"0.19\", expect_size=\"43082752\"] \n  11 -> 17 [size =\"43082752\"]\n  11 -> 18 [size =\"43082752\"]\n  11 -> 21 [size =\"43082752\"]\n  12 [size=\"45994667\", alpha=\"0.08\", expect_size=\"13798400\"] \n  12 -> 16 [size =\"13798400\"]\n  12 -> 17 [size =\"13798400\"]\n  12 -> 19 [size =\"13798400\"]\n  12 -> 20 [size =\"13798400\"]\n  12 -> 21 [size =\"13798400\"]\n  13 [size=\"131041280\", alpha=\"0.09\", expect_size=\"39312384\"] \n  13 -> 16 [size =\"39312384\"]\n  13 -> 17 [size =\"39312384\"]\n  13 -> 18 [size =\"39312384\"]\n  13 -> 19 [size =\"39312384\"]\n  13 -> 20 [size =\"39312384\"]\n  13 -> 21 [size =\"39312384\"]\n  14 [size=\"116974933\", alpha=\"0.01\", expect_size=\"35092480\"] \n  14 -> 16 [size =\"35092480\"]\n  14 -> 19 [size =\"35092480\"]\n  14 -> 20 [size =\"35092480\"]\n  15 [size=\"52118187\", alpha=\"0.13\", expect_size=\"15635456\"] \n  15 -> 17 [size =\"15635456\"]\n  15 -> 18 [size =\"15635456\"]\n  15 -> 19 [size =\"15635456\"]\n  15 -> 21 [size =\"15635456\"]\n  16 [size=\"151534933\", alpha=\"0.14\", expect_size=\"45460480\"] \n  16 -> 23 [size =\"45460480\"]\n  17 [size=\"72021333\", alpha=\"0.08\", expect_size=\"21606400\"] \n  17 -> 26 [size =\"21606400\"]\n  18 [size=\"85090987\", alpha=\"0.03\", expect_size=\"25527296\"] \n  18 -> 22 [size =\"25527296\"]\n  18 -> 26 [size =\"25527296\"]\n  19 [size=\"146042880\", alpha=\"0.04\", expect_size=\"43812864\"] \n  19 -> 22 [size =\"43812864\"]\n  20 [size=\"140485973\", alpha=\"0.18\", expect_size=\"42145792\"] \n  21 [size=\"160617813\", alpha=\"0.01\", expect_size=\"48185344\"] \n  21 -> 23 [size =\"48185344\"]\n  21 -> 24 [size =\"48185344\"]\n  21 -> 25 [size =\"48185344\"]\n  22 [size=\"152005973\", alpha=\"0.05\", expect_size=\"45601792\"] \n  22 -> 30 [size =\"45601792\"]\n  22 -> 31 [size =\"45601792\"]\n  23 [size=\"56405333\", alpha=\"0.09\", expect_size=\"16921600\"] \n  23 -> 27 [size =\"16921600\"]\n  23 -> 29 [size =\"16921600\"]\n  23 -> 30 [size =\"16921600\"]\n  24 [size=\"125105493\", alpha=\"0.11\", expect_size=\"37531648\"] \n  24 -> 27 [size =\"37531648\"]\n  25 [size=\"133553493\", alpha=\"0.14\", expect_size=\"40066048\"] \n  25 -> 27 [size =\"40066048\"]\n  25 -> 28 [size =\"40066048\"]\n  25 -> 32 [size =\"40066048\"]\n  26 [size=\"76550827\", alpha=\"0.19\", expect_size=\"22965248\"] \n  26 -> 28 [size =\"22965248\"]\n  26 -> 29 [size =\"22965248\"]\n  27 [size=\"31849813\", alpha=\"0.18\", expect_size=\"9554944\"] \n  27 -> 34 [size =\"9554944\"]\n  27 -> 35 [size =\"9554944\"]\n  27 -> 37 [size =\"9554944\"]\n  27 -> 37 [size =\"9554944\"]\n  28 [size=\"93023573\", alpha=\"0.16\", expect_size=\"27907072\"] \n  28 -> 34 [size =\"27907072\"]\n  28 -> 35 [size =\"27907072\"]\n  29 [size=\"116688213\", alpha=\"0.18\", expect_size=\"35006464\"] \n  29 -> 35 [size =\"35006464\"]\n  29 -> 35 [size =\"35006464\"]\n  29 -> 37 [size =\"35006464\"]\n  30 [size=\"146930347\", alpha=\"0.12\", expect_size=\"44079104\"] \n  30 -> 33 [size =\"44079104\"]\n  31 [size=\"130638507\", alpha=\"0.03\", expect_size=\"39191552\"] \n  31 -> 33 [size =\"39191552\"]\n  32 [size=\"135642453\", alpha=\"0.17\", expect_size=\"40692736\"] \n  32 -> 33 [size =\"40692736\"]\n  32 -> 34 [size =\"40692736\"]\n  32 -> 36 [size =\"40692736\"]\n  32 -> 37 [size =\"40692736\"]\n  33 [size=\"171397120\", alpha=\"0.06\", expect_size=\"51419136\"] \n  33 -> 38 [size =\"51419136\"]\n  33 -> 39 [size =\"51419136\"]\n  34 [size=\"86531413\", alpha=\"0.07\", expect_size=\"25959424\"] \n  34 -> 39 [size =\"25959424\"]\n  34 -> 39 [size =\"25959424\"]\n  34 -> 40 [size =\"25959424\"]\n  35 [size=\"18766507\", alpha=\"0.12\", expect_size=\"5629952\"] \n  36 [size=\"129464320\", alpha=\"0.15\", expect_size=\"38839296\"] \n  36 -> 38 [size =\"38839296\"]\n  36 -> 40 [size =\"38839296\"]\n  37 [size=\"119582720\", alpha=\"0.05\", expect_size=\"35874816\"] \n  37 -> 38 [size =\"35874816\"]\n  37 -> 39 [size =\"35874816\"]\n  38 [size=\"105328640\", alpha=\"0.03\", expect_size=\"31598592\"] \n  39 [size=\"77660160\", alpha=\"0.17\", expect_size=\"23298048\"] \n  40 [size=\"61003093\", alpha=\"0.08\", expect_size=\"18300928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77165227\", alpha=\"0.07\", expect_size=\"23149568\"] \n  1 -> 26 [size =\"23149568\"]\n  1 -> 27 [size =\"23149568\"]\n  1 -> 29 [size =\"23149568\"]\n  1 -> 32 [size =\"23149568\"]\n  1 -> 33 [size =\"23149568\"]\n  1 -> 34 [size =\"23149568\"]\n  1 -> 35 [size =\"23149568\"]\n  1 -> 40 [size =\"23149568\"]\n  2 [size=\"32689493\", alpha=\"0.05\", expect_size=\"9806848\"] \n  2 -> 26 [size =\"9806848\"]\n  2 -> 29 [size =\"9806848\"]\n  2 -> 30 [size =\"9806848\"]\n  2 -> 32 [size =\"9806848\"]\n  2 -> 37 [size =\"9806848\"]\n  2 -> 40 [size =\"9806848\"]\n  3 [size=\"101434027\", alpha=\"0.18\", expect_size=\"30430208\"] \n  3 -> 27 [size =\"30430208\"]\n  3 -> 28 [size =\"30430208\"]\n  3 -> 29 [size =\"30430208\"]\n  3 -> 32 [size =\"30430208\"]\n  3 -> 33 [size =\"30430208\"]\n  3 -> 34 [size =\"30430208\"]\n  3 -> 37 [size =\"30430208\"]\n  3 -> 40 [size =\"30430208\"]\n  4 [size=\"76274347\", alpha=\"0.13\", expect_size=\"22882304\"] \n  4 -> 28 [size =\"22882304\"]\n  4 -> 28 [size =\"22882304\"]\n  4 -> 29 [size =\"22882304\"]\n  4 -> 31 [size =\"22882304\"]\n  4 -> 32 [size =\"22882304\"]\n  4 -> 33 [size =\"22882304\"]\n  4 -> 34 [size =\"22882304\"]\n  4 -> 39 [size =\"22882304\"]\n  4 -> 40 [size =\"22882304\"]\n  5 [size=\"18892800\", alpha=\"0.05\", expect_size=\"5667840\"] \n  5 -> 26 [size =\"5667840\"]\n  5 -> 28 [size =\"5667840\"]\n  5 -> 32 [size =\"5667840\"]\n  5 -> 33 [size =\"5667840\"]\n  5 -> 34 [size =\"5667840\"]\n  5 -> 40 [size =\"5667840\"]\n  6 [size=\"78841173\", alpha=\"0.18\", expect_size=\"23652352\"] \n  6 -> 26 [size =\"23652352\"]\n  6 -> 28 [size =\"23652352\"]\n  6 -> 33 [size =\"23652352\"]\n  6 -> 33 [size =\"23652352\"]\n  6 -> 34 [size =\"23652352\"]\n  6 -> 37 [size =\"23652352\"]\n  6 -> 40 [size =\"23652352\"]\n  7 [size=\"41717760\", alpha=\"0.00\", expect_size=\"12515328\"] \n  7 -> 26 [size =\"12515328\"]\n  7 -> 29 [size =\"12515328\"]\n  7 -> 32 [size =\"12515328\"]\n  7 -> 34 [size =\"12515328\"]\n  7 -> 38 [size =\"12515328\"]\n  7 -> 39 [size =\"12515328\"]\n  8 [size=\"146667520\", alpha=\"0.09\", expect_size=\"44000256\"] \n  8 -> 25 [size =\"44000256\"]\n  8 -> 27 [size =\"44000256\"]\n  8 -> 28 [size =\"44000256\"]\n  8 -> 31 [size =\"44000256\"]\n  8 -> 32 [size =\"44000256\"]\n  8 -> 33 [size =\"44000256\"]\n  8 -> 34 [size =\"44000256\"]\n  8 -> 35 [size =\"44000256\"]\n  8 -> 38 [size =\"44000256\"]\n  8 -> 39 [size =\"44000256\"]\n  9 [size=\"117377707\", alpha=\"0.15\", expect_size=\"35213312\"] \n  9 -> 25 [size =\"35213312\"]\n  9 -> 28 [size =\"35213312\"]\n  9 -> 28 [size =\"35213312\"]\n  9 -> 32 [size =\"35213312\"]\n  9 -> 33 [size =\"35213312\"]\n  9 -> 33 [size =\"35213312\"]\n  9 -> 34 [size =\"35213312\"]\n  9 -> 38 [size =\"35213312\"]\n  9 -> 39 [size =\"35213312\"]\n  9 -> 40 [size =\"35213312\"]\n  10 [size=\"102806187\", alpha=\"0.15\", expect_size=\"30841856\"] \n  10 -> 25 [size =\"30841856\"]\n  10 -> 28 [size =\"30841856\"]\n  10 -> 29 [size =\"30841856\"]\n  10 -> 31 [size =\"30841856\"]\n  10 -> 32 [size =\"30841856\"]\n  10 -> 33 [size =\"30841856\"]\n  10 -> 34 [size =\"30841856\"]\n  10 -> 38 [size =\"30841856\"]\n  10 -> 40 [size =\"30841856\"]\n  11 [size=\"29477547\", alpha=\"0.09\", expect_size=\"8843264\"] \n  11 -> 26 [size =\"8843264\"]\n  11 -> 34 [size =\"8843264\"]\n  11 -> 36 [size =\"8843264\"]\n  11 -> 37 [size =\"8843264\"]\n  12 [size=\"86043307\", alpha=\"0.07\", expect_size=\"25812992\"] \n  12 -> 33 [size =\"25812992\"]\n  12 -> 34 [size =\"25812992\"]\n  12 -> 35 [size =\"25812992\"]\n  12 -> 37 [size =\"25812992\"]\n  12 -> 38 [size =\"25812992\"]\n  12 -> 40 [size =\"25812992\"]\n  13 [size=\"122405547\", alpha=\"0.06\", expect_size=\"36721664\"] \n  13 -> 25 [size =\"36721664\"]\n  13 -> 29 [size =\"36721664\"]\n  13 -> 32 [size =\"36721664\"]\n  13 -> 33 [size =\"36721664\"]\n  13 -> 37 [size =\"36721664\"]\n  13 -> 38 [size =\"36721664\"]\n  13 -> 40 [size =\"36721664\"]\n  14 [size=\"104980480\", alpha=\"0.11\", expect_size=\"31494144\"] \n  14 -> 25 [size =\"31494144\"]\n  14 -> 26 [size =\"31494144\"]\n  14 -> 32 [size =\"31494144\"]\n  14 -> 33 [size =\"31494144\"]\n  14 -> 35 [size =\"31494144\"]\n  14 -> 38 [size =\"31494144\"]\n  14 -> 39 [size =\"31494144\"]\n  15 [size=\"47308800\", alpha=\"0.00\", expect_size=\"14192640\"] \n  15 -> 25 [size =\"14192640\"]\n  15 -> 28 [size =\"14192640\"]\n  15 -> 29 [size =\"14192640\"]\n  15 -> 32 [size =\"14192640\"]\n  15 -> 34 [size =\"14192640\"]\n  15 -> 36 [size =\"14192640\"]\n  15 -> 38 [size =\"14192640\"]\n  15 -> 39 [size =\"14192640\"]\n  15 -> 40 [size =\"14192640\"]\n  16 [size=\"88299520\", alpha=\"0.20\", expect_size=\"26489856\"] \n  16 -> 25 [size =\"26489856\"]\n  16 -> 26 [size =\"26489856\"]\n  16 -> 28 [size =\"26489856\"]\n  16 -> 29 [size =\"26489856\"]\n  16 -> 32 [size =\"26489856\"]\n  16 -> 33 [size =\"26489856\"]\n  16 -> 34 [size =\"26489856\"]\n  16 -> 36 [size =\"26489856\"]\n  16 -> 38 [size =\"26489856\"]\n  17 [size=\"71867733\", alpha=\"0.03\", expect_size=\"21560320\"] \n  17 -> 25 [size =\"21560320\"]\n  17 -> 28 [size =\"21560320\"]\n  17 -> 29 [size =\"21560320\"]\n  17 -> 32 [size =\"21560320\"]\n  17 -> 33 [size =\"21560320\"]\n  17 -> 34 [size =\"21560320\"]\n  17 -> 35 [size =\"21560320\"]\n  17 -> 36 [size =\"21560320\"]\n  17 -> 38 [size =\"21560320\"]\n  17 -> 40 [size =\"21560320\"]\n  18 [size=\"74806613\", alpha=\"0.04\", expect_size=\"22441984\"] \n  18 -> 25 [size =\"22441984\"]\n  18 -> 28 [size =\"22441984\"]\n  18 -> 29 [size =\"22441984\"]\n  18 -> 30 [size =\"22441984\"]\n  18 -> 32 [size =\"22441984\"]\n  18 -> 33 [size =\"22441984\"]\n  18 -> 34 [size =\"22441984\"]\n  18 -> 38 [size =\"22441984\"]\n  18 -> 38 [size =\"22441984\"]\n  19 [size=\"142472533\", alpha=\"0.04\", expect_size=\"42741760\"] \n  19 -> 25 [size =\"42741760\"]\n  19 -> 30 [size =\"42741760\"]\n  19 -> 32 [size =\"42741760\"]\n  19 -> 34 [size =\"42741760\"]\n  19 -> 35 [size =\"42741760\"]\n  19 -> 37 [size =\"42741760\"]\n  19 -> 39 [size =\"42741760\"]\n  19 -> 40 [size =\"42741760\"]\n  20 [size=\"101676373\", alpha=\"0.14\", expect_size=\"30502912\"] \n  20 -> 25 [size =\"30502912\"]\n  20 -> 27 [size =\"30502912\"]\n  20 -> 28 [size =\"30502912\"]\n  20 -> 30 [size =\"30502912\"]\n  20 -> 33 [size =\"30502912\"]\n  20 -> 34 [size =\"30502912\"]\n  20 -> 37 [size =\"30502912\"]\n  20 -> 38 [size =\"30502912\"]\n  20 -> 39 [size =\"30502912\"]\n  20 -> 40 [size =\"30502912\"]\n  21 [size=\"63327573\", alpha=\"0.10\", expect_size=\"18998272\"] \n  21 -> 25 [size =\"18998272\"]\n  21 -> 26 [size =\"18998272\"]\n  21 -> 28 [size =\"18998272\"]\n  21 -> 29 [size =\"18998272\"]\n  21 -> 30 [size =\"18998272\"]\n  21 -> 34 [size =\"18998272\"]\n  21 -> 36 [size =\"18998272\"]\n  21 -> 38 [size =\"18998272\"]\n  21 -> 39 [size =\"18998272\"]\n  21 -> 40 [size =\"18998272\"]\n  22 [size=\"136744960\", alpha=\"0.09\", expect_size=\"41023488\"] \n  22 -> 25 [size =\"41023488\"]\n  22 -> 28 [size =\"41023488\"]\n  22 -> 32 [size =\"41023488\"]\n  22 -> 33 [size =\"41023488\"]\n  22 -> 34 [size =\"41023488\"]\n  22 -> 36 [size =\"41023488\"]\n  22 -> 37 [size =\"41023488\"]\n  22 -> 38 [size =\"41023488\"]\n  22 -> 39 [size =\"41023488\"]\n  22 -> 40 [size =\"41023488\"]\n  23 [size=\"33566720\", alpha=\"0.19\", expect_size=\"10070016\"] \n  23 -> 25 [size =\"10070016\"]\n  23 -> 28 [size =\"10070016\"]\n  23 -> 29 [size =\"10070016\"]\n  23 -> 30 [size =\"10070016\"]\n  23 -> 32 [size =\"10070016\"]\n  23 -> 33 [size =\"10070016\"]\n  23 -> 34 [size =\"10070016\"]\n  23 -> 37 [size =\"10070016\"]\n  23 -> 38 [size =\"10070016\"]\n  24 [size=\"84043093\", alpha=\"0.16\", expect_size=\"25212928\"] \n  24 -> 32 [size =\"25212928\"]\n  24 -> 39 [size =\"25212928\"]\n  24 -> 40 [size =\"25212928\"]\n  25 [size=\"171950080\", alpha=\"0.13\", expect_size=\"51585024\"] \n  26 [size=\"173356373\", alpha=\"0.17\", expect_size=\"52006912\"] \n  27 [size=\"172728320\", alpha=\"0.05\", expect_size=\"51818496\"] \n  28 [size=\"42007893\", alpha=\"0.10\", expect_size=\"12602368\"] \n  29 [size=\"70840320\", alpha=\"0.07\", expect_size=\"21252096\"] \n  30 [size=\"105458347\", alpha=\"0.15\", expect_size=\"31637504\"] \n  31 [size=\"55319893\", alpha=\"0.04\", expect_size=\"16595968\"] \n  32 [size=\"137403733\", alpha=\"0.03\", expect_size=\"41221120\"] \n  33 [size=\"52346880\", alpha=\"0.14\", expect_size=\"15704064\"] \n  34 [size=\"41396907\", alpha=\"0.17\", expect_size=\"12419072\"] \n  35 [size=\"163355307\", alpha=\"0.03\", expect_size=\"49006592\"] \n  36 [size=\"105065813\", alpha=\"0.19\", expect_size=\"31519744\"] \n  37 [size=\"85183147\", alpha=\"0.01\", expect_size=\"25554944\"] \n  38 [size=\"127948800\", alpha=\"0.11\", expect_size=\"38384640\"] \n  39 [size=\"47981227\", alpha=\"0.16\", expect_size=\"14394368\"] \n  40 [size=\"102471680\", alpha=\"0.13\", expect_size=\"30741504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119613440\", alpha=\"0.08\", expect_size=\"35884032\"] \n  1 -> 8 [size =\"35884032\"]\n  1 -> 9 [size =\"35884032\"]\n  1 -> 10 [size =\"35884032\"]\n  1 -> 11 [size =\"35884032\"]\n  2 [size=\"49394347\", alpha=\"0.15\", expect_size=\"14818304\"] \n  2 -> 7 [size =\"14818304\"]\n  2 -> 8 [size =\"14818304\"]\n  2 -> 10 [size =\"14818304\"]\n  2 -> 11 [size =\"14818304\"]\n  3 [size=\"95863467\", alpha=\"0.13\", expect_size=\"28759040\"] \n  3 -> 8 [size =\"28759040\"]\n  3 -> 11 [size =\"28759040\"]\n  4 [size=\"84452693\", alpha=\"0.15\", expect_size=\"25335808\"] \n  4 -> 6 [size =\"25335808\"]\n  4 -> 7 [size =\"25335808\"]\n  4 -> 8 [size =\"25335808\"]\n  4 -> 12 [size =\"25335808\"]\n  5 [size=\"65788587\", alpha=\"0.19\", expect_size=\"19736576\"] \n  5 -> 7 [size =\"19736576\"]\n  5 -> 11 [size =\"19736576\"]\n  5 -> 12 [size =\"19736576\"]\n  6 [size=\"107656533\", alpha=\"0.18\", expect_size=\"32296960\"] \n  6 -> 17 [size =\"32296960\"]\n  6 -> 18 [size =\"32296960\"]\n  7 [size=\"27880107\", alpha=\"0.09\", expect_size=\"8364032\"] \n  7 -> 13 [size =\"8364032\"]\n  7 -> 16 [size =\"8364032\"]\n  7 -> 19 [size =\"8364032\"]\n  8 [size=\"125020160\", alpha=\"0.14\", expect_size=\"37506048\"] \n  8 -> 13 [size =\"37506048\"]\n  8 -> 16 [size =\"37506048\"]\n  8 -> 18 [size =\"37506048\"]\n  8 -> 19 [size =\"37506048\"]\n  9 [size=\"103389867\", alpha=\"0.01\", expect_size=\"31016960\"] \n  9 -> 13 [size =\"31016960\"]\n  9 -> 15 [size =\"31016960\"]\n  9 -> 19 [size =\"31016960\"]\n  10 [size=\"139700907\", alpha=\"0.03\", expect_size=\"41910272\"] \n  10 -> 13 [size =\"41910272\"]\n  10 -> 15 [size =\"41910272\"]\n  10 -> 17 [size =\"41910272\"]\n  10 -> 18 [size =\"41910272\"]\n  10 -> 19 [size =\"41910272\"]\n  11 [size=\"33549653\", alpha=\"0.16\", expect_size=\"10064896\"] \n  11 -> 16 [size =\"10064896\"]\n  11 -> 17 [size =\"10064896\"]\n  11 -> 19 [size =\"10064896\"]\n  12 [size=\"98505387\", alpha=\"0.07\", expect_size=\"29551616\"] \n  12 -> 13 [size =\"29551616\"]\n  12 -> 14 [size =\"29551616\"]\n  12 -> 16 [size =\"29551616\"]\n  12 -> 17 [size =\"29551616\"]\n  13 [size=\"58060800\", alpha=\"0.04\", expect_size=\"17418240\"] \n  13 -> 22 [size =\"17418240\"]\n  14 [size=\"157351253\", alpha=\"0.02\", expect_size=\"47205376\"] \n  14 -> 20 [size =\"47205376\"]\n  15 [size=\"114640213\", alpha=\"0.18\", expect_size=\"34392064\"] \n  15 -> 24 [size =\"34392064\"]\n  16 [size=\"104540160\", alpha=\"0.18\", expect_size=\"31362048\"] \n  16 -> 21 [size =\"31362048\"]\n  16 -> 24 [size =\"31362048\"]\n  17 [size=\"89279147\", alpha=\"0.17\", expect_size=\"26783744\"] \n  17 -> 24 [size =\"26783744\"]\n  18 [size=\"158976000\", alpha=\"0.11\", expect_size=\"47692800\"] \n  18 -> 23 [size =\"47692800\"]\n  19 [size=\"108537173\", alpha=\"0.05\", expect_size=\"32561152\"] \n  19 -> 20 [size =\"32561152\"]\n  19 -> 23 [size =\"32561152\"]\n  20 [size=\"114008747\", alpha=\"0.10\", expect_size=\"34202624\"] \n  20 -> 25 [size =\"34202624\"]\n  20 -> 27 [size =\"34202624\"]\n  20 -> 29 [size =\"34202624\"]\n  21 [size=\"135983787\", alpha=\"0.08\", expect_size=\"40795136\"] \n  21 -> 25 [size =\"40795136\"]\n  21 -> 26 [size =\"40795136\"]\n  21 -> 28 [size =\"40795136\"]\n  21 -> 29 [size =\"40795136\"]\n  22 [size=\"103379627\", alpha=\"0.10\", expect_size=\"31013888\"] \n  22 -> 25 [size =\"31013888\"]\n  22 -> 28 [size =\"31013888\"]\n  22 -> 29 [size =\"31013888\"]\n  23 [size=\"157064533\", alpha=\"0.02\", expect_size=\"47119360\"] \n  23 -> 26 [size =\"47119360\"]\n  23 -> 27 [size =\"47119360\"]\n  24 [size=\"34402987\", alpha=\"0.02\", expect_size=\"10320896\"] \n  24 -> 26 [size =\"10320896\"]\n  24 -> 27 [size =\"10320896\"]\n  24 -> 28 [size =\"10320896\"]\n  24 -> 29 [size =\"10320896\"]\n  25 [size=\"50906453\", alpha=\"0.09\", expect_size=\"15271936\"] \n  25 -> 31 [size =\"15271936\"]\n  25 -> 32 [size =\"15271936\"]\n  25 -> 33 [size =\"15271936\"]\n  25 -> 34 [size =\"15271936\"]\n  26 [size=\"35130027\", alpha=\"0.07\", expect_size=\"10539008\"] \n  26 -> 31 [size =\"10539008\"]\n  26 -> 32 [size =\"10539008\"]\n  26 -> 33 [size =\"10539008\"]\n  26 -> 35 [size =\"10539008\"]\n  27 [size=\"17684480\", alpha=\"0.06\", expect_size=\"5305344\"] \n  27 -> 32 [size =\"5305344\"]\n  27 -> 35 [size =\"5305344\"]\n  28 [size=\"149070507\", alpha=\"0.19\", expect_size=\"44721152\"] \n  28 -> 32 [size =\"44721152\"]\n  28 -> 33 [size =\"44721152\"]\n  28 -> 34 [size =\"44721152\"]\n  29 [size=\"78298453\", alpha=\"0.03\", expect_size=\"23489536\"] \n  29 -> 30 [size =\"23489536\"]\n  29 -> 31 [size =\"23489536\"]\n  29 -> 33 [size =\"23489536\"]\n  29 -> 34 [size =\"23489536\"]\n  29 -> 35 [size =\"23489536\"]\n  30 [size=\"118097920\", alpha=\"0.03\", expect_size=\"35429376\"] \n  30 -> 36 [size =\"35429376\"]\n  30 -> 37 [size =\"35429376\"]\n  30 -> 38 [size =\"35429376\"]\n  30 -> 39 [size =\"35429376\"]\n  31 [size=\"39202133\", alpha=\"0.04\", expect_size=\"11760640\"] \n  31 -> 38 [size =\"11760640\"]\n  31 -> 39 [size =\"11760640\"]\n  32 [size=\"101034667\", alpha=\"0.16\", expect_size=\"30310400\"] \n  32 -> 38 [size =\"30310400\"]\n  33 [size=\"20947627\", alpha=\"0.13\", expect_size=\"6284288\"] \n  33 -> 38 [size =\"6284288\"]\n  34 [size=\"34614613\", alpha=\"0.08\", expect_size=\"10384384\"] \n  34 -> 36 [size =\"10384384\"]\n  34 -> 39 [size =\"10384384\"]\n  35 [size=\"51722240\", alpha=\"0.15\", expect_size=\"15516672\"] \n  35 -> 36 [size =\"15516672\"]\n  35 -> 37 [size =\"15516672\"]\n  35 -> 38 [size =\"15516672\"]\n  35 -> 39 [size =\"15516672\"]\n  36 [size=\"120593067\", alpha=\"0.13\", expect_size=\"36177920\"] \n  36 -> 40 [size =\"36177920\"]\n  37 [size=\"174120960\", alpha=\"0.01\", expect_size=\"52236288\"] \n  38 [size=\"65419947\", alpha=\"0.06\", expect_size=\"19625984\"] \n  39 [size=\"59327147\", alpha=\"0.03\", expect_size=\"17798144\"] \n  39 -> 40 [size =\"17798144\"]\n  40 [size=\"84469760\", alpha=\"0.12\", expect_size=\"25340928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79718400\", alpha=\"0.11\", expect_size=\"23915520\"] \n  1 -> 34 [size =\"23915520\"]\n  1 -> 35 [size =\"23915520\"]\n  2 [size=\"128262827\", alpha=\"0.04\", expect_size=\"38478848\"] \n  2 -> 33 [size =\"38478848\"]\n  2 -> 35 [size =\"38478848\"]\n  2 -> 40 [size =\"38478848\"]\n  3 [size=\"27760640\", alpha=\"0.09\", expect_size=\"8328192\"] \n  3 -> 39 [size =\"8328192\"]\n  4 [size=\"47076693\", alpha=\"0.18\", expect_size=\"14123008\"] \n  4 -> 37 [size =\"14123008\"]\n  5 [size=\"170468693\", alpha=\"0.03\", expect_size=\"51140608\"] \n  5 -> 33 [size =\"51140608\"]\n  5 -> 37 [size =\"51140608\"]\n  5 -> 39 [size =\"51140608\"]\n  6 [size=\"130413227\", alpha=\"0.04\", expect_size=\"39123968\"] \n  6 -> 33 [size =\"39123968\"]\n  6 -> 38 [size =\"39123968\"]\n  7 [size=\"21166080\", alpha=\"0.11\", expect_size=\"6349824\"] \n  7 -> 38 [size =\"6349824\"]\n  7 -> 39 [size =\"6349824\"]\n  8 [size=\"125306880\", alpha=\"0.17\", expect_size=\"37592064\"] \n  8 -> 34 [size =\"37592064\"]\n  8 -> 39 [size =\"37592064\"]\n  9 [size=\"47950507\", alpha=\"0.14\", expect_size=\"14385152\"] \n  9 -> 35 [size =\"14385152\"]\n  9 -> 37 [size =\"14385152\"]\n  9 -> 39 [size =\"14385152\"]\n  10 [size=\"36785493\", alpha=\"0.10\", expect_size=\"11035648\"] \n  10 -> 34 [size =\"11035648\"]\n  10 -> 35 [size =\"11035648\"]\n  10 -> 38 [size =\"11035648\"]\n  10 -> 39 [size =\"11035648\"]\n  10 -> 40 [size =\"11035648\"]\n  11 [size=\"131239253\", alpha=\"0.17\", expect_size=\"39371776\"] \n  11 -> 33 [size =\"39371776\"]\n  11 -> 34 [size =\"39371776\"]\n  11 -> 35 [size =\"39371776\"]\n  11 -> 40 [size =\"39371776\"]\n  12 [size=\"57524907\", alpha=\"0.00\", expect_size=\"17257472\"] \n  12 -> 38 [size =\"17257472\"]\n  12 -> 39 [size =\"17257472\"]\n  12 -> 40 [size =\"17257472\"]\n  13 [size=\"90238293\", alpha=\"0.18\", expect_size=\"27071488\"] \n  13 -> 34 [size =\"27071488\"]\n  13 -> 37 [size =\"27071488\"]\n  13 -> 39 [size =\"27071488\"]\n  14 [size=\"159204693\", alpha=\"0.13\", expect_size=\"47761408\"] \n  14 -> 39 [size =\"47761408\"]\n  15 [size=\"142592000\", alpha=\"0.08\", expect_size=\"42777600\"] \n  15 -> 37 [size =\"42777600\"]\n  15 -> 39 [size =\"42777600\"]\n  16 [size=\"169530027\", alpha=\"0.18\", expect_size=\"50859008\"] \n  17 [size=\"44936533\", alpha=\"0.12\", expect_size=\"13480960\"] \n  17 -> 37 [size =\"13480960\"]\n  17 -> 39 [size =\"13480960\"]\n  18 [size=\"129327787\", alpha=\"0.15\", expect_size=\"38798336\"] \n  18 -> 35 [size =\"38798336\"]\n  18 -> 39 [size =\"38798336\"]\n  19 [size=\"102806187\", alpha=\"0.06\", expect_size=\"30841856\"] \n  19 -> 39 [size =\"30841856\"]\n  19 -> 40 [size =\"30841856\"]\n  20 [size=\"57036800\", alpha=\"0.17\", expect_size=\"17111040\"] \n  20 -> 39 [size =\"17111040\"]\n  20 -> 40 [size =\"17111040\"]\n  21 [size=\"138461867\", alpha=\"0.16\", expect_size=\"41538560\"] \n  21 -> 35 [size =\"41538560\"]\n  21 -> 40 [size =\"41538560\"]\n  22 [size=\"111786667\", alpha=\"0.09\", expect_size=\"33536000\"] \n  22 -> 34 [size =\"33536000\"]\n  22 -> 36 [size =\"33536000\"]\n  22 -> 37 [size =\"33536000\"]\n  22 -> 38 [size =\"33536000\"]\n  22 -> 39 [size =\"33536000\"]\n  22 -> 40 [size =\"33536000\"]\n  23 [size=\"114128213\", alpha=\"0.03\", expect_size=\"34238464\"] \n  23 -> 36 [size =\"34238464\"]\n  23 -> 38 [size =\"34238464\"]\n  23 -> 39 [size =\"34238464\"]\n  23 -> 40 [size =\"34238464\"]\n  24 [size=\"101212160\", alpha=\"0.01\", expect_size=\"30363648\"] \n  24 -> 35 [size =\"30363648\"]\n  24 -> 37 [size =\"30363648\"]\n  25 [size=\"48667307\", alpha=\"0.19\", expect_size=\"14600192\"] \n  25 -> 34 [size =\"14600192\"]\n  25 -> 40 [size =\"14600192\"]\n  26 [size=\"114517333\", alpha=\"0.11\", expect_size=\"34355200\"] \n  26 -> 34 [size =\"34355200\"]\n  26 -> 36 [size =\"34355200\"]\n  26 -> 38 [size =\"34355200\"]\n  26 -> 39 [size =\"34355200\"]\n  27 [size=\"95290027\", alpha=\"0.04\", expect_size=\"28587008\"] \n  27 -> 36 [size =\"28587008\"]\n  27 -> 38 [size =\"28587008\"]\n  27 -> 39 [size =\"28587008\"]\n  28 [size=\"29139627\", alpha=\"0.10\", expect_size=\"8741888\"] \n  28 -> 34 [size =\"8741888\"]\n  28 -> 38 [size =\"8741888\"]\n  28 -> 39 [size =\"8741888\"]\n  29 [size=\"147322880\", alpha=\"0.20\", expect_size=\"44196864\"] \n  29 -> 37 [size =\"44196864\"]\n  29 -> 38 [size =\"44196864\"]\n  30 [size=\"33693013\", alpha=\"0.12\", expect_size=\"10107904\"] \n  30 -> 36 [size =\"10107904\"]\n  30 -> 38 [size =\"10107904\"]\n  31 [size=\"164761600\", alpha=\"0.19\", expect_size=\"49428480\"] \n  31 -> 38 [size =\"49428480\"]\n  31 -> 38 [size =\"49428480\"]\n  32 [size=\"130918400\", alpha=\"0.11\", expect_size=\"39275520\"] \n  32 -> 38 [size =\"39275520\"]\n  33 [size=\"42946560\", alpha=\"0.13\", expect_size=\"12883968\"] \n  34 [size=\"68427093\", alpha=\"0.12\", expect_size=\"20528128\"] \n  35 [size=\"79667200\", alpha=\"0.07\", expect_size=\"23900160\"] \n  36 [size=\"72379733\", alpha=\"0.02\", expect_size=\"21713920\"] \n  37 [size=\"159501653\", alpha=\"0.20\", expect_size=\"47850496\"] \n  38 [size=\"30149973\", alpha=\"0.12\", expect_size=\"9044992\"] \n  39 [size=\"106731520\", alpha=\"0.15\", expect_size=\"32019456\"] \n  40 [size=\"105147733\", alpha=\"0.04\", expect_size=\"31544320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59631616\", alpha=\"0.06\", expect_size=\"29815808\"] \n  1 -> 3 [size =\"29815808\"]\n  1 -> 4 [size =\"29815808\"]\n  2 [size=\"50726912\", alpha=\"0.16\", expect_size=\"25363456\"] \n  2 -> 5 [size =\"25363456\"]\n  3 [size=\"68685824\", alpha=\"0.02\", expect_size=\"34342912\"] \n  4 [size=\"79038464\", alpha=\"0.19\", expect_size=\"39519232\"] \n  4 -> 7 [size =\"39519232\"]\n  5 [size=\"14815232\", alpha=\"0.04\", expect_size=\"7407616\"] \n  5 -> 6 [size =\"7407616\"]\n  5 -> 7 [size =\"7407616\"]\n  6 [size=\"55054336\", alpha=\"0.04\", expect_size=\"27527168\"] \n  6 -> 10 [size =\"27527168\"]\n  7 [size=\"48670720\", alpha=\"0.04\", expect_size=\"24335360\"] \n  7 -> 8 [size =\"24335360\"]\n  7 -> 9 [size =\"24335360\"]\n  8 [size=\"21897216\", alpha=\"0.13\", expect_size=\"10948608\"] \n  8 -> 12 [size =\"10948608\"]\n  8 -> 13 [size =\"10948608\"]\n  9 [size=\"70971392\", alpha=\"0.01\", expect_size=\"35485696\"] \n  9 -> 11 [size =\"35485696\"]\n  10 [size=\"76994560\", alpha=\"0.01\", expect_size=\"38497280\"] \n  10 -> 12 [size =\"38497280\"]\n  10 -> 13 [size =\"38497280\"]\n  11 [size=\"78034944\", alpha=\"0.09\", expect_size=\"39017472\"] \n  11 -> 16 [size =\"39017472\"]\n  12 [size=\"12484608\", alpha=\"0.19\", expect_size=\"6242304\"] \n  13 [size=\"88330240\", alpha=\"0.02\", expect_size=\"44165120\"] \n  13 -> 14 [size =\"44165120\"]\n  13 -> 15 [size =\"44165120\"]\n  13 -> 16 [size =\"44165120\"]\n  14 [size=\"98220032\", alpha=\"0.04\", expect_size=\"49110016\"] \n  14 -> 18 [size =\"49110016\"]\n  14 -> 19 [size =\"49110016\"]\n  15 [size=\"91613184\", alpha=\"0.14\", expect_size=\"45806592\"] \n  15 -> 17 [size =\"45806592\"]\n  16 [size=\"17063936\", alpha=\"0.00\", expect_size=\"8531968\"] \n  16 -> 19 [size =\"8531968\"]\n  17 [size=\"37511168\", alpha=\"0.01\", expect_size=\"18755584\"] \n  18 [size=\"57143296\", alpha=\"0.19\", expect_size=\"28571648\"] \n  18 -> 20 [size =\"28571648\"]\n  18 -> 22 [size =\"28571648\"]\n  19 [size=\"26298368\", alpha=\"0.12\", expect_size=\"13149184\"] \n  19 -> 21 [size =\"13149184\"]\n  19 -> 22 [size =\"13149184\"]\n  20 [size=\"31754240\", alpha=\"0.11\", expect_size=\"15877120\"] \n  20 -> 23 [size =\"15877120\"]\n  21 [size=\"38273024\", alpha=\"0.00\", expect_size=\"19136512\"] \n  22 [size=\"80885760\", alpha=\"0.18\", expect_size=\"40442880\"] \n  22 -> 24 [size =\"40442880\"]\n  23 [size=\"78176256\", alpha=\"0.09\", expect_size=\"39088128\"] \n  24 [size=\"87205888\", alpha=\"0.13\", expect_size=\"43602944\"] \n  24 -> 25 [size =\"43602944\"]\n  24 -> 26 [size =\"43602944\"]\n  24 -> 27 [size =\"43602944\"]\n  25 [size=\"11710464\", alpha=\"0.19\", expect_size=\"5855232\"] \n  26 [size=\"76322816\", alpha=\"0.14\", expect_size=\"38161408\"] \n  26 -> 28 [size =\"38161408\"]\n  26 -> 30 [size =\"38161408\"]\n  27 [size=\"77623296\", alpha=\"0.17\", expect_size=\"38811648\"] \n  27 -> 28 [size =\"38811648\"]\n  27 -> 29 [size =\"38811648\"]\n  28 [size=\"80080896\", alpha=\"0.03\", expect_size=\"40040448\"] \n  28 -> 31 [size =\"40040448\"]\n  29 [size=\"74481664\", alpha=\"0.01\", expect_size=\"37240832\"] \n  29 -> 31 [size =\"37240832\"]\n  29 -> 32 [size =\"37240832\"]\n  30 [size=\"37447680\", alpha=\"0.14\", expect_size=\"18723840\"] \n  31 [size=\"89778176\", alpha=\"0.01\", expect_size=\"44889088\"] \n  31 -> 33 [size =\"44889088\"]\n  31 -> 34 [size =\"44889088\"]\n  32 [size=\"91875328\", alpha=\"0.08\", expect_size=\"45937664\"] \n  33 [size=\"83984384\", alpha=\"0.12\", expect_size=\"41992192\"] \n  33 -> 35 [size =\"41992192\"]\n  34 [size=\"29933568\", alpha=\"0.14\", expect_size=\"14966784\"] \n  34 -> 36 [size =\"14966784\"]\n  35 [size=\"92649472\", alpha=\"0.14\", expect_size=\"46324736\"] \n  36 [size=\"87717888\", alpha=\"0.15\", expect_size=\"43858944\"] \n  36 -> 37 [size =\"43858944\"]\n  36 -> 38 [size =\"43858944\"]\n  37 [size=\"59709440\", alpha=\"0.01\", expect_size=\"29854720\"] \n  37 -> 39 [size =\"29854720\"]\n  37 -> 40 [size =\"29854720\"]\n  38 [size=\"46807040\", alpha=\"0.18\", expect_size=\"23403520\"] \n  39 [size=\"60424192\", alpha=\"0.18\", expect_size=\"30212096\"] \n  40 [size=\"66674688\", alpha=\"0.02\", expect_size=\"33337344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139724800\", alpha=\"0.13\", expect_size=\"41917440\"] \n  1 -> 5 [size =\"41917440\"]\n  2 [size=\"38382933\", alpha=\"0.16\", expect_size=\"11514880\"] \n  2 -> 6 [size =\"11514880\"]\n  3 [size=\"98665813\", alpha=\"0.19\", expect_size=\"29599744\"] \n  3 -> 7 [size =\"29599744\"]\n  3 -> 8 [size =\"29599744\"]\n  4 [size=\"70481920\", alpha=\"0.01\", expect_size=\"21144576\"] \n  4 -> 5 [size =\"21144576\"]\n  4 -> 8 [size =\"21144576\"]\n  5 [size=\"140745387\", alpha=\"0.15\", expect_size=\"42223616\"] \n  5 -> 10 [size =\"42223616\"]\n  6 [size=\"33788587\", alpha=\"0.04\", expect_size=\"10136576\"] \n  6 -> 9 [size =\"10136576\"]\n  6 -> 11 [size =\"10136576\"]\n  6 -> 12 [size =\"10136576\"]\n  7 [size=\"41676800\", alpha=\"0.12\", expect_size=\"12503040\"] \n  7 -> 9 [size =\"12503040\"]\n  7 -> 10 [size =\"12503040\"]\n  8 [size=\"63668907\", alpha=\"0.16\", expect_size=\"19100672\"] \n  8 -> 9 [size =\"19100672\"]\n  9 [size=\"70181547\", alpha=\"0.08\", expect_size=\"21054464\"] \n  9 -> 15 [size =\"21054464\"]\n  10 [size=\"82169173\", alpha=\"0.14\", expect_size=\"24650752\"] \n  10 -> 15 [size =\"24650752\"]\n  11 [size=\"110738773\", alpha=\"0.10\", expect_size=\"33221632\"] \n  11 -> 13 [size =\"33221632\"]\n  11 -> 14 [size =\"33221632\"]\n  11 -> 15 [size =\"33221632\"]\n  11 -> 16 [size =\"33221632\"]\n  12 [size=\"54391467\", alpha=\"0.01\", expect_size=\"16317440\"] \n  12 -> 13 [size =\"16317440\"]\n  13 [size=\"22688427\", alpha=\"0.19\", expect_size=\"6806528\"] \n  13 -> 17 [size =\"6806528\"]\n  14 [size=\"171161600\", alpha=\"0.20\", expect_size=\"51348480\"] \n  14 -> 17 [size =\"51348480\"]\n  14 -> 20 [size =\"51348480\"]\n  15 [size=\"22056960\", alpha=\"0.00\", expect_size=\"6617088\"] \n  15 -> 18 [size =\"6617088\"]\n  16 [size=\"140427947\", alpha=\"0.04\", expect_size=\"42128384\"] \n  16 -> 17 [size =\"42128384\"]\n  16 -> 19 [size =\"42128384\"]\n  16 -> 20 [size =\"42128384\"]\n  17 [size=\"172957013\", alpha=\"0.19\", expect_size=\"51887104\"] \n  17 -> 21 [size =\"51887104\"]\n  17 -> 22 [size =\"51887104\"]\n  17 -> 23 [size =\"51887104\"]\n  17 -> 24 [size =\"51887104\"]\n  17 -> 26 [size =\"51887104\"]\n  18 [size=\"113172480\", alpha=\"0.15\", expect_size=\"33951744\"] \n  18 -> 22 [size =\"33951744\"]\n  18 -> 23 [size =\"33951744\"]\n  18 -> 26 [size =\"33951744\"]\n  19 [size=\"77844480\", alpha=\"0.13\", expect_size=\"23353344\"] \n  19 -> 23 [size =\"23353344\"]\n  19 -> 24 [size =\"23353344\"]\n  19 -> 25 [size =\"23353344\"]\n  20 [size=\"143254187\", alpha=\"0.13\", expect_size=\"42976256\"] \n  20 -> 21 [size =\"42976256\"]\n  20 -> 22 [size =\"42976256\"]\n  20 -> 24 [size =\"42976256\"]\n  20 -> 25 [size =\"42976256\"]\n  20 -> 26 [size =\"42976256\"]\n  21 [size=\"94136320\", alpha=\"0.09\", expect_size=\"28240896\"] \n  21 -> 28 [size =\"28240896\"]\n  21 -> 30 [size =\"28240896\"]\n  22 [size=\"170048853\", alpha=\"0.08\", expect_size=\"51014656\"] \n  23 [size=\"18944000\", alpha=\"0.17\", expect_size=\"5683200\"] \n  23 -> 29 [size =\"5683200\"]\n  24 [size=\"170755413\", alpha=\"0.13\", expect_size=\"51226624\"] \n  24 -> 27 [size =\"51226624\"]\n  24 -> 28 [size =\"51226624\"]\n  25 [size=\"166853973\", alpha=\"0.04\", expect_size=\"50056192\"] \n  25 -> 29 [size =\"50056192\"]\n  26 [size=\"170547200\", alpha=\"0.17\", expect_size=\"51164160\"] \n  26 -> 28 [size =\"51164160\"]\n  26 -> 29 [size =\"51164160\"]\n  27 [size=\"41472000\", alpha=\"0.14\", expect_size=\"12441600\"] \n  27 -> 31 [size =\"12441600\"]\n  28 [size=\"32320853\", alpha=\"0.16\", expect_size=\"9696256\"] \n  28 -> 31 [size =\"9696256\"]\n  28 -> 32 [size =\"9696256\"]\n  28 -> 33 [size =\"9696256\"]\n  28 -> 34 [size =\"9696256\"]\n  29 [size=\"153494187\", alpha=\"0.05\", expect_size=\"46048256\"] \n  29 -> 31 [size =\"46048256\"]\n  29 -> 33 [size =\"46048256\"]\n  29 -> 34 [size =\"46048256\"]\n  30 [size=\"99485013\", alpha=\"0.02\", expect_size=\"29845504\"] \n  30 -> 33 [size =\"29845504\"]\n  30 -> 34 [size =\"29845504\"]\n  31 [size=\"48363520\", alpha=\"0.11\", expect_size=\"14509056\"] \n  31 -> 35 [size =\"14509056\"]\n  31 -> 39 [size =\"14509056\"]\n  32 [size=\"122374827\", alpha=\"0.05\", expect_size=\"36712448\"] \n  32 -> 35 [size =\"36712448\"]\n  32 -> 36 [size =\"36712448\"]\n  32 -> 37 [size =\"36712448\"]\n  33 [size=\"27856213\", alpha=\"0.20\", expect_size=\"8356864\"] \n  33 -> 35 [size =\"8356864\"]\n  34 [size=\"160573440\", alpha=\"0.14\", expect_size=\"48172032\"] \n  34 -> 37 [size =\"48172032\"]\n  34 -> 38 [size =\"48172032\"]\n  34 -> 39 [size =\"48172032\"]\n  35 [size=\"101672960\", alpha=\"0.08\", expect_size=\"30501888\"] \n  36 [size=\"131713707\", alpha=\"0.19\", expect_size=\"39514112\"] \n  37 [size=\"109721600\", alpha=\"0.09\", expect_size=\"32916480\"] \n  37 -> 40 [size =\"32916480\"]\n  38 [size=\"59893760\", alpha=\"0.11\", expect_size=\"17968128\"] \n  39 [size=\"28429653\", alpha=\"0.01\", expect_size=\"8528896\"] \n  39 -> 40 [size =\"8528896\"]\n  40 [size=\"68037973\", alpha=\"0.06\", expect_size=\"20411392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74835968\", alpha=\"0.05\", expect_size=\"37417984\"] \n  1 -> 6 [size =\"37417984\"]\n  2 [size=\"44210176\", alpha=\"0.04\", expect_size=\"22105088\"] \n  2 -> 4 [size =\"22105088\"]\n  3 [size=\"41086976\", alpha=\"0.09\", expect_size=\"20543488\"] \n  3 -> 4 [size =\"20543488\"]\n  3 -> 5 [size =\"20543488\"]\n  4 [size=\"71628800\", alpha=\"0.02\", expect_size=\"35814400\"] \n  4 -> 9 [size =\"35814400\"]\n  5 [size=\"98899968\", alpha=\"0.05\", expect_size=\"49449984\"] \n  5 -> 8 [size =\"49449984\"]\n  6 [size=\"39827456\", alpha=\"0.04\", expect_size=\"19913728\"] \n  6 -> 7 [size =\"19913728\"]\n  6 -> 8 [size =\"19913728\"]\n  6 -> 9 [size =\"19913728\"]\n  7 [size=\"87470080\", alpha=\"0.02\", expect_size=\"43735040\"] \n  7 -> 11 [size =\"43735040\"]\n  7 -> 12 [size =\"43735040\"]\n  8 [size=\"101662720\", alpha=\"0.18\", expect_size=\"50831360\"] \n  8 -> 12 [size =\"50831360\"]\n  9 [size=\"24403968\", alpha=\"0.17\", expect_size=\"12201984\"] \n  9 -> 10 [size =\"12201984\"]\n  10 [size=\"73256960\", alpha=\"0.17\", expect_size=\"36628480\"] \n  10 -> 14 [size =\"36628480\"]\n  10 -> 15 [size =\"36628480\"]\n  11 [size=\"22519808\", alpha=\"0.08\", expect_size=\"11259904\"] \n  11 -> 13 [size =\"11259904\"]\n  12 [size=\"46485504\", alpha=\"0.19\", expect_size=\"23242752\"] \n  12 -> 14 [size =\"23242752\"]\n  13 [size=\"63156224\", alpha=\"0.08\", expect_size=\"31578112\"] \n  13 -> 16 [size =\"31578112\"]\n  13 -> 17 [size =\"31578112\"]\n  14 [size=\"104445952\", alpha=\"0.14\", expect_size=\"52222976\"] \n  14 -> 16 [size =\"52222976\"]\n  15 [size=\"21821440\", alpha=\"0.02\", expect_size=\"10910720\"] \n  16 [size=\"46682112\", alpha=\"0.01\", expect_size=\"23341056\"] \n  17 [size=\"64827392\", alpha=\"0.19\", expect_size=\"32413696\"] \n  17 -> 18 [size =\"32413696\"]\n  17 -> 19 [size =\"32413696\"]\n  18 [size=\"73730048\", alpha=\"0.05\", expect_size=\"36865024\"] \n  18 -> 20 [size =\"36865024\"]\n  18 -> 21 [size =\"36865024\"]\n  19 [size=\"63885312\", alpha=\"0.03\", expect_size=\"31942656\"] \n  19 -> 21 [size =\"31942656\"]\n  19 -> 22 [size =\"31942656\"]\n  20 [size=\"50411520\", alpha=\"0.12\", expect_size=\"25205760\"] \n  20 -> 24 [size =\"25205760\"]\n  21 [size=\"37228544\", alpha=\"0.14\", expect_size=\"18614272\"] \n  21 -> 23 [size =\"18614272\"]\n  22 [size=\"75094016\", alpha=\"0.04\", expect_size=\"37547008\"] \n  22 -> 24 [size =\"37547008\"]\n  23 [size=\"69519360\", alpha=\"0.00\", expect_size=\"34759680\"] \n  23 -> 25 [size =\"34759680\"]\n  23 -> 26 [size =\"34759680\"]\n  23 -> 27 [size =\"34759680\"]\n  24 [size=\"12263424\", alpha=\"0.09\", expect_size=\"6131712\"] \n  24 -> 26 [size =\"6131712\"]\n  24 -> 27 [size =\"6131712\"]\n  25 [size=\"77957120\", alpha=\"0.17\", expect_size=\"38978560\"] \n  25 -> 29 [size =\"38978560\"]\n  25 -> 30 [size =\"38978560\"]\n  26 [size=\"87967744\", alpha=\"0.11\", expect_size=\"43983872\"] \n  26 -> 28 [size =\"43983872\"]\n  27 [size=\"92243968\", alpha=\"0.02\", expect_size=\"46121984\"] \n  27 -> 28 [size =\"46121984\"]\n  27 -> 29 [size =\"46121984\"]\n  27 -> 30 [size =\"46121984\"]\n  28 [size=\"86786048\", alpha=\"0.12\", expect_size=\"43393024\"] \n  28 -> 32 [size =\"43393024\"]\n  29 [size=\"16115712\", alpha=\"0.04\", expect_size=\"8057856\"] \n  29 -> 31 [size =\"8057856\"]\n  29 -> 33 [size =\"8057856\"]\n  30 [size=\"29263872\", alpha=\"0.10\", expect_size=\"14631936\"] \n  30 -> 31 [size =\"14631936\"]\n  31 [size=\"84600832\", alpha=\"0.19\", expect_size=\"42300416\"] \n  31 -> 34 [size =\"42300416\"]\n  31 -> 36 [size =\"42300416\"]\n  32 [size=\"57737216\", alpha=\"0.15\", expect_size=\"28868608\"] \n  32 -> 35 [size =\"28868608\"]\n  33 [size=\"76769280\", alpha=\"0.03\", expect_size=\"38384640\"] \n  33 -> 35 [size =\"38384640\"]\n  33 -> 36 [size =\"38384640\"]\n  34 [size=\"77924352\", alpha=\"0.10\", expect_size=\"38962176\"] \n  35 [size=\"27975680\", alpha=\"0.19\", expect_size=\"13987840\"] \n  36 [size=\"15341568\", alpha=\"0.17\", expect_size=\"7670784\"] \n  36 -> 37 [size =\"7670784\"]\n  36 -> 38 [size =\"7670784\"]\n  37 [size=\"69365760\", alpha=\"0.06\", expect_size=\"34682880\"] \n  38 [size=\"78286848\", alpha=\"0.08\", expect_size=\"39143424\"] \n  38 -> 39 [size =\"39143424\"]\n  38 -> 40 [size =\"39143424\"]\n  39 [size=\"38912000\", alpha=\"0.02\", expect_size=\"19456000\"] \n  40 [size=\"59531264\", alpha=\"0.04\", expect_size=\"29765632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34082133\", alpha=\"0.05\", expect_size=\"10224640\"] \n  1 -> 24 [size =\"10224640\"]\n  1 -> 29 [size =\"10224640\"]\n  1 -> 31 [size =\"10224640\"]\n  1 -> 36 [size =\"10224640\"]\n  2 [size=\"31122773\", alpha=\"0.18\", expect_size=\"9336832\"] \n  2 -> 23 [size =\"9336832\"]\n  2 -> 25 [size =\"9336832\"]\n  2 -> 28 [size =\"9336832\"]\n  2 -> 29 [size =\"9336832\"]\n  2 -> 30 [size =\"9336832\"]\n  2 -> 34 [size =\"9336832\"]\n  2 -> 38 [size =\"9336832\"]\n  3 [size=\"141158400\", alpha=\"0.20\", expect_size=\"42347520\"] \n  3 -> 25 [size =\"42347520\"]\n  3 -> 28 [size =\"42347520\"]\n  3 -> 29 [size =\"42347520\"]\n  3 -> 38 [size =\"42347520\"]\n  3 -> 39 [size =\"42347520\"]\n  4 [size=\"70120107\", alpha=\"0.12\", expect_size=\"21036032\"] \n  4 -> 24 [size =\"21036032\"]\n  4 -> 25 [size =\"21036032\"]\n  4 -> 29 [size =\"21036032\"]\n  4 -> 38 [size =\"21036032\"]\n  4 -> 39 [size =\"21036032\"]\n  5 [size=\"165014187\", alpha=\"0.18\", expect_size=\"49504256\"] \n  5 -> 24 [size =\"49504256\"]\n  5 -> 27 [size =\"49504256\"]\n  5 -> 30 [size =\"49504256\"]\n  5 -> 38 [size =\"49504256\"]\n  5 -> 40 [size =\"49504256\"]\n  6 [size=\"60583253\", alpha=\"0.07\", expect_size=\"18174976\"] \n  6 -> 24 [size =\"18174976\"]\n  6 -> 27 [size =\"18174976\"]\n  6 -> 30 [size =\"18174976\"]\n  6 -> 38 [size =\"18174976\"]\n  6 -> 39 [size =\"18174976\"]\n  7 [size=\"66556587\", alpha=\"0.17\", expect_size=\"19966976\"] \n  7 -> 24 [size =\"19966976\"]\n  7 -> 27 [size =\"19966976\"]\n  7 -> 30 [size =\"19966976\"]\n  7 -> 31 [size =\"19966976\"]\n  7 -> 32 [size =\"19966976\"]\n  7 -> 37 [size =\"19966976\"]\n  7 -> 39 [size =\"19966976\"]\n  8 [size=\"44141227\", alpha=\"0.05\", expect_size=\"13242368\"] \n  8 -> 24 [size =\"13242368\"]\n  8 -> 30 [size =\"13242368\"]\n  8 -> 30 [size =\"13242368\"]\n  8 -> 37 [size =\"13242368\"]\n  8 -> 39 [size =\"13242368\"]\n  9 [size=\"22640640\", alpha=\"0.12\", expect_size=\"6792192\"] \n  9 -> 24 [size =\"6792192\"]\n  9 -> 28 [size =\"6792192\"]\n  9 -> 31 [size =\"6792192\"]\n  9 -> 36 [size =\"6792192\"]\n  9 -> 37 [size =\"6792192\"]\n  9 -> 39 [size =\"6792192\"]\n  10 [size=\"155723093\", alpha=\"0.17\", expect_size=\"46716928\"] \n  10 -> 27 [size =\"46716928\"]\n  10 -> 37 [size =\"46716928\"]\n  10 -> 38 [size =\"46716928\"]\n  10 -> 39 [size =\"46716928\"]\n  11 [size=\"117022720\", alpha=\"0.19\", expect_size=\"35106816\"] \n  11 -> 24 [size =\"35106816\"]\n  11 -> 27 [size =\"35106816\"]\n  11 -> 28 [size =\"35106816\"]\n  11 -> 30 [size =\"35106816\"]\n  11 -> 32 [size =\"35106816\"]\n  11 -> 36 [size =\"35106816\"]\n  11 -> 37 [size =\"35106816\"]\n  12 [size=\"159334400\", alpha=\"0.11\", expect_size=\"47800320\"] \n  12 -> 26 [size =\"47800320\"]\n  12 -> 27 [size =\"47800320\"]\n  12 -> 28 [size =\"47800320\"]\n  12 -> 29 [size =\"47800320\"]\n  12 -> 33 [size =\"47800320\"]\n  12 -> 36 [size =\"47800320\"]\n  12 -> 37 [size =\"47800320\"]\n  12 -> 39 [size =\"47800320\"]\n  13 [size=\"142066347\", alpha=\"0.06\", expect_size=\"42619904\"] \n  13 -> 24 [size =\"42619904\"]\n  13 -> 27 [size =\"42619904\"]\n  13 -> 28 [size =\"42619904\"]\n  13 -> 33 [size =\"42619904\"]\n  13 -> 38 [size =\"42619904\"]\n  13 -> 39 [size =\"42619904\"]\n  14 [size=\"138779307\", alpha=\"0.13\", expect_size=\"41633792\"] \n  14 -> 23 [size =\"41633792\"]\n  14 -> 27 [size =\"41633792\"]\n  14 -> 30 [size =\"41633792\"]\n  14 -> 31 [size =\"41633792\"]\n  14 -> 37 [size =\"41633792\"]\n  14 -> 38 [size =\"41633792\"]\n  15 [size=\"76660053\", alpha=\"0.15\", expect_size=\"22998016\"] \n  15 -> 26 [size =\"22998016\"]\n  15 -> 27 [size =\"22998016\"]\n  15 -> 30 [size =\"22998016\"]\n  15 -> 36 [size =\"22998016\"]\n  15 -> 39 [size =\"22998016\"]\n  16 [size=\"61279573\", alpha=\"0.20\", expect_size=\"18383872\"] \n  16 -> 25 [size =\"18383872\"]\n  16 -> 26 [size =\"18383872\"]\n  16 -> 27 [size =\"18383872\"]\n  16 -> 35 [size =\"18383872\"]\n  17 [size=\"118050133\", alpha=\"0.18\", expect_size=\"35415040\"] \n  17 -> 26 [size =\"35415040\"]\n  17 -> 27 [size =\"35415040\"]\n  17 -> 30 [size =\"35415040\"]\n  17 -> 36 [size =\"35415040\"]\n  18 [size=\"95221760\", alpha=\"0.10\", expect_size=\"28566528\"] \n  18 -> 25 [size =\"28566528\"]\n  18 -> 29 [size =\"28566528\"]\n  18 -> 30 [size =\"28566528\"]\n  18 -> 31 [size =\"28566528\"]\n  18 -> 32 [size =\"28566528\"]\n  18 -> 36 [size =\"28566528\"]\n  18 -> 38 [size =\"28566528\"]\n  19 [size=\"135676587\", alpha=\"0.16\", expect_size=\"40702976\"] \n  19 -> 25 [size =\"40702976\"]\n  19 -> 29 [size =\"40702976\"]\n  19 -> 30 [size =\"40702976\"]\n  19 -> 39 [size =\"40702976\"]\n  19 -> 40 [size =\"40702976\"]\n  20 [size=\"71089493\", alpha=\"0.17\", expect_size=\"21326848\"] \n  20 -> 25 [size =\"21326848\"]\n  20 -> 28 [size =\"21326848\"]\n  20 -> 29 [size =\"21326848\"]\n  20 -> 30 [size =\"21326848\"]\n  20 -> 37 [size =\"21326848\"]\n  21 [size=\"44875093\", alpha=\"0.19\", expect_size=\"13462528\"] \n  21 -> 25 [size =\"13462528\"]\n  21 -> 26 [size =\"13462528\"]\n  21 -> 27 [size =\"13462528\"]\n  21 -> 28 [size =\"13462528\"]\n  21 -> 29 [size =\"13462528\"]\n  21 -> 33 [size =\"13462528\"]\n  22 [size=\"33607680\", alpha=\"0.03\", expect_size=\"10082304\"] \n  22 -> 23 [size =\"10082304\"]\n  22 -> 24 [size =\"10082304\"]\n  22 -> 25 [size =\"10082304\"]\n  22 -> 26 [size =\"10082304\"]\n  22 -> 29 [size =\"10082304\"]\n  22 -> 38 [size =\"10082304\"]\n  22 -> 39 [size =\"10082304\"]\n  23 [size=\"121521493\", alpha=\"0.03\", expect_size=\"36456448\"] \n  24 [size=\"169137493\", alpha=\"0.10\", expect_size=\"50741248\"] \n  25 [size=\"115370667\", alpha=\"0.16\", expect_size=\"34611200\"] \n  26 [size=\"76301653\", alpha=\"0.06\", expect_size=\"22890496\"] \n  27 [size=\"74069333\", alpha=\"0.04\", expect_size=\"22220800\"] \n  28 [size=\"59374933\", alpha=\"0.04\", expect_size=\"17812480\"] \n  29 [size=\"137857707\", alpha=\"0.05\", expect_size=\"41357312\"] \n  30 [size=\"107793067\", alpha=\"0.04\", expect_size=\"32337920\"] \n  31 [size=\"81046187\", alpha=\"0.16\", expect_size=\"24313856\"] \n  32 [size=\"74222933\", alpha=\"0.05\", expect_size=\"22266880\"] \n  33 [size=\"100973227\", alpha=\"0.11\", expect_size=\"30291968\"] \n  34 [size=\"127692800\", alpha=\"0.11\", expect_size=\"38307840\"] \n  35 [size=\"49742507\", alpha=\"0.20\", expect_size=\"14922752\"] \n  36 [size=\"171946667\", alpha=\"0.13\", expect_size=\"51584000\"] \n  37 [size=\"65559893\", alpha=\"0.00\", expect_size=\"19667968\"] \n  38 [size=\"94235307\", alpha=\"0.17\", expect_size=\"28270592\"] \n  39 [size=\"127354880\", alpha=\"0.08\", expect_size=\"38206464\"] \n  40 [size=\"170082987\", alpha=\"0.07\", expect_size=\"51024896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82444288\", alpha=\"0.12\", expect_size=\"41222144\"] \n  1 -> 2 [size =\"41222144\"]\n  2 [size=\"50759680\", alpha=\"0.00\", expect_size=\"25379840\"] \n  2 -> 3 [size =\"25379840\"]\n  3 [size=\"99848192\", alpha=\"0.06\", expect_size=\"49924096\"] \n  3 -> 4 [size =\"49924096\"]\n  4 [size=\"64894976\", alpha=\"0.05\", expect_size=\"32447488\"] \n  4 -> 5 [size =\"32447488\"]\n  5 [size=\"68667392\", alpha=\"0.14\", expect_size=\"34333696\"] \n  5 -> 6 [size =\"34333696\"]\n  6 [size=\"74735616\", alpha=\"0.03\", expect_size=\"37367808\"] \n  6 -> 7 [size =\"37367808\"]\n  7 [size=\"95105024\", alpha=\"0.03\", expect_size=\"47552512\"] \n  7 -> 8 [size =\"47552512\"]\n  8 [size=\"73455616\", alpha=\"0.05\", expect_size=\"36727808\"] \n  8 -> 9 [size =\"36727808\"]\n  9 [size=\"24780800\", alpha=\"0.20\", expect_size=\"12390400\"] \n  9 -> 10 [size =\"12390400\"]\n  10 [size=\"26267648\", alpha=\"0.04\", expect_size=\"13133824\"] \n  10 -> 11 [size =\"13133824\"]\n  11 [size=\"18397184\", alpha=\"0.09\", expect_size=\"9198592\"] \n  11 -> 12 [size =\"9198592\"]\n  12 [size=\"73041920\", alpha=\"0.07\", expect_size=\"36520960\"] \n  12 -> 13 [size =\"36520960\"]\n  13 [size=\"73480192\", alpha=\"0.11\", expect_size=\"36740096\"] \n  13 -> 14 [size =\"36740096\"]\n  14 [size=\"102940672\", alpha=\"0.09\", expect_size=\"51470336\"] \n  14 -> 15 [size =\"51470336\"]\n  15 [size=\"34471936\", alpha=\"0.12\", expect_size=\"17235968\"] \n  15 -> 16 [size =\"17235968\"]\n  16 [size=\"99819520\", alpha=\"0.20\", expect_size=\"49909760\"] \n  16 -> 17 [size =\"49909760\"]\n  17 [size=\"19775488\", alpha=\"0.03\", expect_size=\"9887744\"] \n  17 -> 18 [size =\"9887744\"]\n  18 [size=\"35479552\", alpha=\"0.11\", expect_size=\"17739776\"] \n  18 -> 19 [size =\"17739776\"]\n  19 [size=\"60231680\", alpha=\"0.09\", expect_size=\"30115840\"] \n  19 -> 20 [size =\"30115840\"]\n  20 [size=\"59922432\", alpha=\"0.14\", expect_size=\"29961216\"] \n  20 -> 21 [size =\"29961216\"]\n  21 [size=\"80048128\", alpha=\"0.14\", expect_size=\"40024064\"] \n  21 -> 22 [size =\"40024064\"]\n  22 [size=\"26275840\", alpha=\"0.03\", expect_size=\"13137920\"] \n  22 -> 23 [size =\"13137920\"]\n  23 [size=\"60141568\", alpha=\"0.10\", expect_size=\"30070784\"] \n  23 -> 24 [size =\"30070784\"]\n  24 [size=\"18327552\", alpha=\"0.10\", expect_size=\"9163776\"] \n  24 -> 25 [size =\"9163776\"]\n  25 [size=\"60299264\", alpha=\"0.01\", expect_size=\"30149632\"] \n  25 -> 26 [size =\"30149632\"]\n  26 [size=\"22517760\", alpha=\"0.06\", expect_size=\"11258880\"] \n  26 -> 27 [size =\"11258880\"]\n  27 [size=\"20523008\", alpha=\"0.09\", expect_size=\"10261504\"] \n  27 -> 28 [size =\"10261504\"]\n  28 [size=\"34043904\", alpha=\"0.06\", expect_size=\"17021952\"] \n  28 -> 29 [size =\"17021952\"]\n  29 [size=\"86552576\", alpha=\"0.05\", expect_size=\"43276288\"] \n  29 -> 30 [size =\"43276288\"]\n  30 [size=\"35303424\", alpha=\"0.08\", expect_size=\"17651712\"] \n  30 -> 31 [size =\"17651712\"]\n  31 [size=\"101527552\", alpha=\"0.12\", expect_size=\"50763776\"] \n  31 -> 32 [size =\"50763776\"]\n  32 [size=\"74067968\", alpha=\"0.10\", expect_size=\"37033984\"] \n  32 -> 33 [size =\"37033984\"]\n  33 [size=\"87568384\", alpha=\"0.01\", expect_size=\"43784192\"] \n  33 -> 34 [size =\"43784192\"]\n  34 [size=\"42653696\", alpha=\"0.12\", expect_size=\"21326848\"] \n  34 -> 35 [size =\"21326848\"]\n  35 [size=\"88102912\", alpha=\"0.07\", expect_size=\"44051456\"] \n  35 -> 36 [size =\"44051456\"]\n  36 [size=\"93353984\", alpha=\"0.02\", expect_size=\"46676992\"] \n  36 -> 37 [size =\"46676992\"]\n  37 [size=\"28289024\", alpha=\"0.19\", expect_size=\"14144512\"] \n  37 -> 38 [size =\"14144512\"]\n  38 [size=\"71897088\", alpha=\"0.00\", expect_size=\"35948544\"] \n  38 -> 39 [size =\"35948544\"]\n  39 [size=\"98408448\", alpha=\"0.13\", expect_size=\"49204224\"] \n  39 -> 40 [size =\"49204224\"]\n  40 [size=\"27742208\", alpha=\"0.16\", expect_size=\"13871104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28139520\", alpha=\"0.16\", expect_size=\"14069760\"] \n  1 -> 2 [size =\"14069760\"]\n  2 [size=\"24784896\", alpha=\"0.04\", expect_size=\"12392448\"] \n  2 -> 3 [size =\"12392448\"]\n  3 [size=\"18812928\", alpha=\"0.11\", expect_size=\"9406464\"] \n  3 -> 4 [size =\"9406464\"]\n  4 [size=\"20056064\", alpha=\"0.13\", expect_size=\"10028032\"] \n  4 -> 5 [size =\"10028032\"]\n  5 [size=\"80969728\", alpha=\"0.16\", expect_size=\"40484864\"] \n  5 -> 6 [size =\"40484864\"]\n  6 [size=\"82900992\", alpha=\"0.14\", expect_size=\"41450496\"] \n  6 -> 7 [size =\"41450496\"]\n  7 [size=\"45516800\", alpha=\"0.07\", expect_size=\"22758400\"] \n  7 -> 8 [size =\"22758400\"]\n  8 [size=\"45508608\", alpha=\"0.18\", expect_size=\"22754304\"] \n  8 -> 9 [size =\"22754304\"]\n  9 [size=\"75636736\", alpha=\"0.09\", expect_size=\"37818368\"] \n  9 -> 10 [size =\"37818368\"]\n  10 [size=\"56115200\", alpha=\"0.12\", expect_size=\"28057600\"] \n  10 -> 11 [size =\"28057600\"]\n  11 [size=\"84998144\", alpha=\"0.15\", expect_size=\"42499072\"] \n  11 -> 12 [size =\"42499072\"]\n  12 [size=\"65540096\", alpha=\"0.05\", expect_size=\"32770048\"] \n  12 -> 13 [size =\"32770048\"]\n  13 [size=\"84865024\", alpha=\"0.17\", expect_size=\"42432512\"] \n  13 -> 14 [size =\"42432512\"]\n  14 [size=\"41793536\", alpha=\"0.09\", expect_size=\"20896768\"] \n  14 -> 15 [size =\"20896768\"]\n  15 [size=\"103526400\", alpha=\"0.05\", expect_size=\"51763200\"] \n  15 -> 16 [size =\"51763200\"]\n  16 [size=\"86423552\", alpha=\"0.15\", expect_size=\"43211776\"] \n  16 -> 17 [size =\"43211776\"]\n  17 [size=\"58398720\", alpha=\"0.14\", expect_size=\"29199360\"] \n  17 -> 18 [size =\"29199360\"]\n  18 [size=\"91590656\", alpha=\"0.16\", expect_size=\"45795328\"] \n  18 -> 19 [size =\"45795328\"]\n  19 [size=\"82995200\", alpha=\"0.08\", expect_size=\"41497600\"] \n  19 -> 20 [size =\"41497600\"]\n  20 [size=\"33335296\", alpha=\"0.02\", expect_size=\"16667648\"] \n  20 -> 21 [size =\"16667648\"]\n  21 [size=\"91080704\", alpha=\"0.00\", expect_size=\"45540352\"] \n  21 -> 22 [size =\"45540352\"]\n  22 [size=\"69408768\", alpha=\"0.01\", expect_size=\"34704384\"] \n  22 -> 23 [size =\"34704384\"]\n  23 [size=\"92514304\", alpha=\"0.04\", expect_size=\"46257152\"] \n  23 -> 24 [size =\"46257152\"]\n  24 [size=\"78585856\", alpha=\"0.09\", expect_size=\"39292928\"] \n  24 -> 25 [size =\"39292928\"]\n  25 [size=\"28909568\", alpha=\"0.09\", expect_size=\"14454784\"] \n  25 -> 26 [size =\"14454784\"]\n  26 [size=\"54112256\", alpha=\"0.04\", expect_size=\"27056128\"] \n  26 -> 27 [size =\"27056128\"]\n  27 [size=\"29792256\", alpha=\"0.07\", expect_size=\"14896128\"] \n  27 -> 28 [size =\"14896128\"]\n  28 [size=\"94496768\", alpha=\"0.17\", expect_size=\"47248384\"] \n  28 -> 29 [size =\"47248384\"]\n  29 [size=\"73369600\", alpha=\"0.01\", expect_size=\"36684800\"] \n  29 -> 30 [size =\"36684800\"]\n  30 [size=\"15912960\", alpha=\"0.14\", expect_size=\"7956480\"] \n  30 -> 31 [size =\"7956480\"]\n  31 [size=\"26087424\", alpha=\"0.03\", expect_size=\"13043712\"] \n  31 -> 32 [size =\"13043712\"]\n  32 [size=\"27170816\", alpha=\"0.04\", expect_size=\"13585408\"] \n  32 -> 33 [size =\"13585408\"]\n  33 [size=\"33468416\", alpha=\"0.01\", expect_size=\"16734208\"] \n  33 -> 34 [size =\"16734208\"]\n  34 [size=\"53303296\", alpha=\"0.04\", expect_size=\"26651648\"] \n  34 -> 35 [size =\"26651648\"]\n  35 [size=\"96249856\", alpha=\"0.08\", expect_size=\"48124928\"] \n  35 -> 36 [size =\"48124928\"]\n  36 [size=\"44048384\", alpha=\"0.07\", expect_size=\"22024192\"] \n  36 -> 37 [size =\"22024192\"]\n  37 [size=\"63488000\", alpha=\"0.16\", expect_size=\"31744000\"] \n  37 -> 38 [size =\"31744000\"]\n  38 [size=\"95225856\", alpha=\"0.03\", expect_size=\"47612928\"] \n  38 -> 39 [size =\"47612928\"]\n  39 [size=\"79915008\", alpha=\"0.04\", expect_size=\"39957504\"] \n  39 -> 40 [size =\"39957504\"]\n  40 [size=\"82710528\", alpha=\"0.11\", expect_size=\"41355264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32424960\", alpha=\"0.15\", expect_size=\"12969984\"] \n  1 -> 7 [size =\"12969984\"]\n  1 -> 9 [size =\"12969984\"]\n  1 -> 11 [size =\"12969984\"]\n  2 [size=\"76825600\", alpha=\"0.05\", expect_size=\"30730240\"] \n  3 [size=\"62766080\", alpha=\"0.17\", expect_size=\"25106432\"] \n  3 -> 7 [size =\"25106432\"]\n  4 [size=\"71912960\", alpha=\"0.18\", expect_size=\"28765184\"] \n  4 -> 7 [size =\"28765184\"]\n  4 -> 10 [size =\"28765184\"]\n  4 -> 11 [size =\"28765184\"]\n  5 [size=\"112232960\", alpha=\"0.15\", expect_size=\"44893184\"] \n  5 -> 10 [size =\"44893184\"]\n  5 -> 10 [size =\"44893184\"]\n  6 [size=\"22801920\", alpha=\"0.20\", expect_size=\"9120768\"] \n  6 -> 8 [size =\"9120768\"]\n  6 -> 11 [size =\"9120768\"]\n  6 -> 12 [size =\"9120768\"]\n  7 [size=\"89318400\", alpha=\"0.10\", expect_size=\"35727360\"] \n  7 -> 13 [size =\"35727360\"]\n  8 [size=\"32058880\", alpha=\"0.05\", expect_size=\"12823552\"] \n  8 -> 15 [size =\"12823552\"]\n  8 -> 18 [size =\"12823552\"]\n  9 [size=\"20008960\", alpha=\"0.03\", expect_size=\"8003584\"] \n  9 -> 15 [size =\"8003584\"]\n  9 -> 16 [size =\"8003584\"]\n  9 -> 17 [size =\"8003584\"]\n  10 [size=\"81361920\", alpha=\"0.02\", expect_size=\"32544768\"] \n  10 -> 17 [size =\"32544768\"]\n  10 -> 18 [size =\"32544768\"]\n  11 [size=\"116986880\", alpha=\"0.14\", expect_size=\"46794752\"] \n  11 -> 15 [size =\"46794752\"]\n  11 -> 17 [size =\"46794752\"]\n  11 -> 18 [size =\"46794752\"]\n  12 [size=\"88468480\", alpha=\"0.10\", expect_size=\"35387392\"] \n  12 -> 14 [size =\"35387392\"]\n  13 [size=\"120437760\", alpha=\"0.18\", expect_size=\"48175104\"] \n  14 [size=\"103984640\", alpha=\"0.06\", expect_size=\"41593856\"] \n  14 -> 20 [size =\"41593856\"]\n  14 -> 22 [size =\"41593856\"]\n  15 [size=\"92753920\", alpha=\"0.01\", expect_size=\"37101568\"] \n  15 -> 19 [size =\"37101568\"]\n  15 -> 21 [size =\"37101568\"]\n  15 -> 22 [size =\"37101568\"]\n  16 [size=\"64412160\", alpha=\"0.19\", expect_size=\"25764864\"] \n  16 -> 19 [size =\"25764864\"]\n  16 -> 23 [size =\"25764864\"]\n  17 [size=\"62776320\", alpha=\"0.15\", expect_size=\"25110528\"] \n  17 -> 19 [size =\"25110528\"]\n  17 -> 20 [size =\"25110528\"]\n  17 -> 21 [size =\"25110528\"]\n  17 -> 23 [size =\"25110528\"]\n  17 -> 24 [size =\"25110528\"]\n  18 [size=\"121986560\", alpha=\"0.10\", expect_size=\"48794624\"] \n  18 -> 20 [size =\"48794624\"]\n  18 -> 21 [size =\"48794624\"]\n  18 -> 22 [size =\"48794624\"]\n  18 -> 23 [size =\"48794624\"]\n  19 [size=\"32276480\", alpha=\"0.00\", expect_size=\"12910592\"] \n  19 -> 26 [size =\"12910592\"]\n  19 -> 27 [size =\"12910592\"]\n  19 -> 30 [size =\"12910592\"]\n  20 [size=\"51681280\", alpha=\"0.08\", expect_size=\"20672512\"] \n  20 -> 30 [size =\"20672512\"]\n  21 [size=\"61148160\", alpha=\"0.19\", expect_size=\"24459264\"] \n  21 -> 26 [size =\"24459264\"]\n  22 [size=\"26255360\", alpha=\"0.01\", expect_size=\"10502144\"] \n  22 -> 25 [size =\"10502144\"]\n  22 -> 27 [size =\"10502144\"]\n  22 -> 28 [size =\"10502144\"]\n  22 -> 29 [size =\"10502144\"]\n  23 [size=\"87083520\", alpha=\"0.11\", expect_size=\"34833408\"] \n  23 -> 25 [size =\"34833408\"]\n  24 [size=\"76405760\", alpha=\"0.11\", expect_size=\"30562304\"] \n  24 -> 27 [size =\"30562304\"]\n  25 [size=\"108997120\", alpha=\"0.08\", expect_size=\"43598848\"] \n  25 -> 34 [size =\"43598848\"]\n  25 -> 35 [size =\"43598848\"]\n  26 [size=\"112627200\", alpha=\"0.07\", expect_size=\"45050880\"] \n  26 -> 32 [size =\"45050880\"]\n  27 [size=\"105146880\", alpha=\"0.19\", expect_size=\"42058752\"] \n  27 -> 33 [size =\"42058752\"]\n  28 [size=\"74378240\", alpha=\"0.13\", expect_size=\"29751296\"] \n  28 -> 34 [size =\"29751296\"]\n  29 [size=\"17064960\", alpha=\"0.09\", expect_size=\"6825984\"] \n  29 -> 31 [size =\"6825984\"]\n  29 -> 32 [size =\"6825984\"]\n  29 -> 33 [size =\"6825984\"]\n  29 -> 35 [size =\"6825984\"]\n  30 [size=\"19875840\", alpha=\"0.17\", expect_size=\"7950336\"] \n  30 -> 32 [size =\"7950336\"]\n  30 -> 35 [size =\"7950336\"]\n  30 -> 36 [size =\"7950336\"]\n  31 [size=\"68175360\", alpha=\"0.02\", expect_size=\"27270144\"] \n  31 -> 38 [size =\"27270144\"]\n  32 [size=\"63316480\", alpha=\"0.20\", expect_size=\"25326592\"] \n  32 -> 40 [size =\"25326592\"]\n  33 [size=\"69020160\", alpha=\"0.16\", expect_size=\"27608064\"] \n  33 -> 39 [size =\"27608064\"]\n  34 [size=\"16980480\", alpha=\"0.07\", expect_size=\"6792192\"] \n  35 [size=\"83968000\", alpha=\"0.12\", expect_size=\"33587200\"] \n  35 -> 38 [size =\"33587200\"]\n  35 -> 39 [size =\"33587200\"]\n  35 -> 40 [size =\"33587200\"]\n  36 [size=\"15216640\", alpha=\"0.06\", expect_size=\"6086656\"] \n  36 -> 37 [size =\"6086656\"]\n  36 -> 39 [size =\"6086656\"]\n  37 [size=\"56353280\", alpha=\"0.08\", expect_size=\"22541312\"] \n  38 [size=\"47659520\", alpha=\"0.09\", expect_size=\"19063808\"] \n  39 [size=\"126051840\", alpha=\"0.13\", expect_size=\"50420736\"] \n  40 [size=\"62504960\", alpha=\"0.03\", expect_size=\"25001984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21353813\", alpha=\"0.04\", expect_size=\"6406144\"] \n  1 -> 2 [size =\"6406144\"]\n  2 [size=\"110056107\", alpha=\"0.11\", expect_size=\"33016832\"] \n  2 -> 3 [size =\"33016832\"]\n  3 [size=\"152248320\", alpha=\"0.09\", expect_size=\"45674496\"] \n  3 -> 4 [size =\"45674496\"]\n  4 [size=\"38635520\", alpha=\"0.06\", expect_size=\"11590656\"] \n  4 -> 5 [size =\"11590656\"]\n  5 [size=\"94037333\", alpha=\"0.19\", expect_size=\"28211200\"] \n  5 -> 6 [size =\"28211200\"]\n  6 [size=\"82479787\", alpha=\"0.03\", expect_size=\"24743936\"] \n  6 -> 7 [size =\"24743936\"]\n  7 [size=\"140800000\", alpha=\"0.11\", expect_size=\"42240000\"] \n  7 -> 8 [size =\"42240000\"]\n  8 [size=\"132225707\", alpha=\"0.10\", expect_size=\"39667712\"] \n  8 -> 9 [size =\"39667712\"]\n  9 [size=\"49039360\", alpha=\"0.13\", expect_size=\"14711808\"] \n  9 -> 10 [size =\"14711808\"]\n  10 [size=\"21217280\", alpha=\"0.02\", expect_size=\"6365184\"] \n  10 -> 11 [size =\"6365184\"]\n  11 [size=\"107994453\", alpha=\"0.11\", expect_size=\"32398336\"] \n  11 -> 12 [size =\"32398336\"]\n  12 [size=\"136239787\", alpha=\"0.01\", expect_size=\"40871936\"] \n  12 -> 13 [size =\"40871936\"]\n  13 [size=\"65136640\", alpha=\"0.18\", expect_size=\"19540992\"] \n  13 -> 14 [size =\"19540992\"]\n  14 [size=\"133259947\", alpha=\"0.18\", expect_size=\"39977984\"] \n  14 -> 15 [size =\"39977984\"]\n  15 [size=\"26357760\", alpha=\"0.18\", expect_size=\"7907328\"] \n  15 -> 16 [size =\"7907328\"]\n  16 [size=\"19165867\", alpha=\"0.19\", expect_size=\"5749760\"] \n  16 -> 17 [size =\"5749760\"]\n  17 [size=\"44267520\", alpha=\"0.16\", expect_size=\"13280256\"] \n  17 -> 18 [size =\"13280256\"]\n  18 [size=\"129563307\", alpha=\"0.13\", expect_size=\"38868992\"] \n  18 -> 19 [size =\"38868992\"]\n  19 [size=\"48093867\", alpha=\"0.11\", expect_size=\"14428160\"] \n  19 -> 20 [size =\"14428160\"]\n  20 [size=\"152067413\", alpha=\"0.11\", expect_size=\"45620224\"] \n  20 -> 21 [size =\"45620224\"]\n  21 [size=\"165939200\", alpha=\"0.12\", expect_size=\"49781760\"] \n  21 -> 22 [size =\"49781760\"]\n  22 [size=\"97918293\", alpha=\"0.04\", expect_size=\"29375488\"] \n  22 -> 23 [size =\"29375488\"]\n  23 [size=\"107827200\", alpha=\"0.14\", expect_size=\"32348160\"] \n  23 -> 24 [size =\"32348160\"]\n  24 [size=\"93665280\", alpha=\"0.06\", expect_size=\"28099584\"] \n  24 -> 25 [size =\"28099584\"]\n  25 [size=\"79278080\", alpha=\"0.08\", expect_size=\"23783424\"] \n  25 -> 26 [size =\"23783424\"]\n  26 [size=\"60388693\", alpha=\"0.18\", expect_size=\"18116608\"] \n  26 -> 27 [size =\"18116608\"]\n  27 [size=\"50578773\", alpha=\"0.04\", expect_size=\"15173632\"] \n  27 -> 28 [size =\"15173632\"]\n  28 [size=\"22104747\", alpha=\"0.04\", expect_size=\"6631424\"] \n  28 -> 29 [size =\"6631424\"]\n  29 [size=\"121777493\", alpha=\"0.09\", expect_size=\"36533248\"] \n  29 -> 30 [size =\"36533248\"]\n  30 [size=\"48872107\", alpha=\"0.14\", expect_size=\"14661632\"] \n  30 -> 31 [size =\"14661632\"]\n  31 [size=\"134512640\", alpha=\"0.11\", expect_size=\"40353792\"] \n  31 -> 32 [size =\"40353792\"]\n  32 [size=\"68003840\", alpha=\"0.02\", expect_size=\"20401152\"] \n  32 -> 33 [size =\"20401152\"]\n  33 [size=\"99215360\", alpha=\"0.20\", expect_size=\"29764608\"] \n  33 -> 34 [size =\"29764608\"]\n  34 [size=\"48349867\", alpha=\"0.12\", expect_size=\"14504960\"] \n  34 -> 35 [size =\"14504960\"]\n  35 [size=\"93853013\", alpha=\"0.06\", expect_size=\"28155904\"] \n  35 -> 36 [size =\"28155904\"]\n  36 [size=\"155006293\", alpha=\"0.20\", expect_size=\"46501888\"] \n  36 -> 37 [size =\"46501888\"]\n  37 [size=\"139526827\", alpha=\"0.17\", expect_size=\"41858048\"] \n  37 -> 38 [size =\"41858048\"]\n  38 [size=\"170738347\", alpha=\"0.08\", expect_size=\"51221504\"] \n  38 -> 39 [size =\"51221504\"]\n  39 [size=\"48820907\", alpha=\"0.04\", expect_size=\"14646272\"] \n  39 -> 40 [size =\"14646272\"]\n  40 [size=\"119910400\", alpha=\"0.16\", expect_size=\"35973120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51511296\", alpha=\"0.07\", expect_size=\"25755648\"] \n  1 -> 2 [size =\"25755648\"]\n  2 [size=\"38475776\", alpha=\"0.04\", expect_size=\"19237888\"] \n  2 -> 3 [size =\"19237888\"]\n  3 [size=\"102819840\", alpha=\"0.12\", expect_size=\"51409920\"] \n  3 -> 4 [size =\"51409920\"]\n  4 [size=\"70465536\", alpha=\"0.03\", expect_size=\"35232768\"] \n  4 -> 5 [size =\"35232768\"]\n  5 [size=\"65959936\", alpha=\"0.20\", expect_size=\"32979968\"] \n  5 -> 6 [size =\"32979968\"]\n  6 [size=\"101384192\", alpha=\"0.12\", expect_size=\"50692096\"] \n  6 -> 7 [size =\"50692096\"]\n  7 [size=\"30523392\", alpha=\"0.12\", expect_size=\"15261696\"] \n  7 -> 8 [size =\"15261696\"]\n  8 [size=\"45811712\", alpha=\"0.19\", expect_size=\"22905856\"] \n  8 -> 9 [size =\"22905856\"]\n  9 [size=\"25937920\", alpha=\"0.19\", expect_size=\"12968960\"] \n  9 -> 10 [size =\"12968960\"]\n  10 [size=\"33368064\", alpha=\"0.15\", expect_size=\"16684032\"] \n  10 -> 11 [size =\"16684032\"]\n  11 [size=\"25176064\", alpha=\"0.13\", expect_size=\"12588032\"] \n  11 -> 12 [size =\"12588032\"]\n  12 [size=\"59021312\", alpha=\"0.13\", expect_size=\"29510656\"] \n  12 -> 13 [size =\"29510656\"]\n  13 [size=\"78166016\", alpha=\"0.17\", expect_size=\"39083008\"] \n  13 -> 14 [size =\"39083008\"]\n  14 [size=\"41152512\", alpha=\"0.10\", expect_size=\"20576256\"] \n  14 -> 15 [size =\"20576256\"]\n  15 [size=\"53352448\", alpha=\"0.01\", expect_size=\"26676224\"] \n  15 -> 16 [size =\"26676224\"]\n  16 [size=\"52699136\", alpha=\"0.12\", expect_size=\"26349568\"] \n  16 -> 17 [size =\"26349568\"]\n  17 [size=\"15263744\", alpha=\"0.14\", expect_size=\"7631872\"] \n  17 -> 18 [size =\"7631872\"]\n  18 [size=\"71557120\", alpha=\"0.01\", expect_size=\"35778560\"] \n  18 -> 19 [size =\"35778560\"]\n  19 [size=\"68702208\", alpha=\"0.11\", expect_size=\"34351104\"] \n  19 -> 20 [size =\"34351104\"]\n  20 [size=\"63690752\", alpha=\"0.19\", expect_size=\"31845376\"] \n  20 -> 21 [size =\"31845376\"]\n  21 [size=\"40863744\", alpha=\"0.14\", expect_size=\"20431872\"] \n  21 -> 22 [size =\"20431872\"]\n  22 [size=\"100859904\", alpha=\"0.16\", expect_size=\"50429952\"] \n  22 -> 23 [size =\"50429952\"]\n  23 [size=\"65712128\", alpha=\"0.17\", expect_size=\"32856064\"] \n  23 -> 24 [size =\"32856064\"]\n  24 [size=\"49461248\", alpha=\"0.11\", expect_size=\"24730624\"] \n  24 -> 25 [size =\"24730624\"]\n  25 [size=\"96268288\", alpha=\"0.17\", expect_size=\"48134144\"] \n  25 -> 26 [size =\"48134144\"]\n  26 [size=\"99483648\", alpha=\"0.02\", expect_size=\"49741824\"] \n  26 -> 27 [size =\"49741824\"]\n  27 [size=\"62418944\", alpha=\"0.11\", expect_size=\"31209472\"] \n  27 -> 28 [size =\"31209472\"]\n  28 [size=\"31975424\", alpha=\"0.08\", expect_size=\"15987712\"] \n  28 -> 29 [size =\"15987712\"]\n  29 [size=\"38488064\", alpha=\"0.08\", expect_size=\"19244032\"] \n  29 -> 30 [size =\"19244032\"]\n  30 [size=\"92686336\", alpha=\"0.13\", expect_size=\"46343168\"] \n  30 -> 31 [size =\"46343168\"]\n  31 [size=\"86022144\", alpha=\"0.01\", expect_size=\"43011072\"] \n  31 -> 32 [size =\"43011072\"]\n  32 [size=\"59523072\", alpha=\"0.19\", expect_size=\"29761536\"] \n  32 -> 33 [size =\"29761536\"]\n  33 [size=\"41179136\", alpha=\"0.12\", expect_size=\"20589568\"] \n  33 -> 34 [size =\"20589568\"]\n  34 [size=\"28952576\", alpha=\"0.11\", expect_size=\"14476288\"] \n  34 -> 35 [size =\"14476288\"]\n  35 [size=\"82827264\", alpha=\"0.19\", expect_size=\"41413632\"] \n  35 -> 36 [size =\"41413632\"]\n  36 [size=\"69533696\", alpha=\"0.17\", expect_size=\"34766848\"] \n  36 -> 37 [size =\"34766848\"]\n  37 [size=\"79970304\", alpha=\"0.15\", expect_size=\"39985152\"] \n  37 -> 38 [size =\"39985152\"]\n  38 [size=\"39800832\", alpha=\"0.06\", expect_size=\"19900416\"] \n  38 -> 39 [size =\"19900416\"]\n  39 [size=\"78727168\", alpha=\"0.09\", expect_size=\"39363584\"] \n  39 -> 40 [size =\"39363584\"]\n  40 [size=\"23459840\", alpha=\"0.04\", expect_size=\"11729920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163734187\", alpha=\"0.15\", expect_size=\"49120256\"] \n  1 -> 5 [size =\"49120256\"]\n  1 -> 6 [size =\"49120256\"]\n  1 -> 8 [size =\"49120256\"]\n  1 -> 10 [size =\"49120256\"]\n  2 [size=\"31945387\", alpha=\"0.13\", expect_size=\"9583616\"] \n  2 -> 5 [size =\"9583616\"]\n  2 -> 9 [size =\"9583616\"]\n  2 -> 10 [size =\"9583616\"]\n  3 [size=\"52947627\", alpha=\"0.12\", expect_size=\"15884288\"] \n  3 -> 7 [size =\"15884288\"]\n  4 [size=\"108810240\", alpha=\"0.11\", expect_size=\"32643072\"] \n  4 -> 9 [size =\"32643072\"]\n  5 [size=\"143663787\", alpha=\"0.11\", expect_size=\"43099136\"] \n  5 -> 14 [size =\"43099136\"]\n  6 [size=\"141431467\", alpha=\"0.17\", expect_size=\"42429440\"] \n  6 -> 13 [size =\"42429440\"]\n  6 -> 14 [size =\"42429440\"]\n  7 [size=\"18821120\", alpha=\"0.03\", expect_size=\"5646336\"] \n  7 -> 13 [size =\"5646336\"]\n  8 [size=\"48878933\", alpha=\"0.08\", expect_size=\"14663680\"] \n  8 -> 15 [size =\"14663680\"]\n  9 [size=\"55886507\", alpha=\"0.13\", expect_size=\"16765952\"] \n  9 -> 11 [size =\"16765952\"]\n  9 -> 12 [size =\"16765952\"]\n  9 -> 15 [size =\"16765952\"]\n  10 [size=\"45902507\", alpha=\"0.08\", expect_size=\"13770752\"] \n  10 -> 14 [size =\"13770752\"]\n  10 -> 15 [size =\"13770752\"]\n  11 [size=\"40103253\", alpha=\"0.07\", expect_size=\"12030976\"] \n  11 -> 16 [size =\"12030976\"]\n  11 -> 17 [size =\"12030976\"]\n  11 -> 18 [size =\"12030976\"]\n  11 -> 20 [size =\"12030976\"]\n  11 -> 22 [size =\"12030976\"]\n  12 [size=\"159709867\", alpha=\"0.13\", expect_size=\"47912960\"] \n  12 -> 18 [size =\"47912960\"]\n  12 -> 19 [size =\"47912960\"]\n  13 [size=\"108127573\", alpha=\"0.19\", expect_size=\"32438272\"] \n  13 -> 17 [size =\"32438272\"]\n  13 -> 19 [size =\"32438272\"]\n  14 [size=\"46848000\", alpha=\"0.18\", expect_size=\"14054400\"] \n  14 -> 21 [size =\"14054400\"]\n  14 -> 22 [size =\"14054400\"]\n  15 [size=\"134161067\", alpha=\"0.02\", expect_size=\"40248320\"] \n  15 -> 16 [size =\"40248320\"]\n  15 -> 17 [size =\"40248320\"]\n  15 -> 21 [size =\"40248320\"]\n  16 [size=\"67304107\", alpha=\"0.14\", expect_size=\"20191232\"] \n  16 -> 23 [size =\"20191232\"]\n  16 -> 24 [size =\"20191232\"]\n  16 -> 25 [size =\"20191232\"]\n  17 [size=\"44028587\", alpha=\"0.15\", expect_size=\"13208576\"] \n  17 -> 23 [size =\"13208576\"]\n  17 -> 24 [size =\"13208576\"]\n  18 [size=\"69427200\", alpha=\"0.18\", expect_size=\"20828160\"] \n  18 -> 23 [size =\"20828160\"]\n  18 -> 24 [size =\"20828160\"]\n  19 [size=\"135505920\", alpha=\"0.16\", expect_size=\"40651776\"] \n  19 -> 25 [size =\"40651776\"]\n  20 [size=\"81769813\", alpha=\"0.02\", expect_size=\"24530944\"] \n  20 -> 23 [size =\"24530944\"]\n  21 [size=\"144059733\", alpha=\"0.07\", expect_size=\"43217920\"] \n  21 -> 27 [size =\"43217920\"]\n  22 [size=\"41734827\", alpha=\"0.15\", expect_size=\"12520448\"] \n  22 -> 24 [size =\"12520448\"]\n  22 -> 25 [size =\"12520448\"]\n  22 -> 26 [size =\"12520448\"]\n  23 [size=\"140547413\", alpha=\"0.06\", expect_size=\"42164224\"] \n  23 -> 29 [size =\"42164224\"]\n  23 -> 30 [size =\"42164224\"]\n  23 -> 32 [size =\"42164224\"]\n  24 [size=\"135355733\", alpha=\"0.09\", expect_size=\"40606720\"] \n  24 -> 29 [size =\"40606720\"]\n  24 -> 30 [size =\"40606720\"]\n  24 -> 31 [size =\"40606720\"]\n  25 [size=\"121804800\", alpha=\"0.09\", expect_size=\"36541440\"] \n  25 -> 33 [size =\"36541440\"]\n  26 [size=\"136888320\", alpha=\"0.04\", expect_size=\"41066496\"] \n  26 -> 31 [size =\"41066496\"]\n  26 -> 32 [size =\"41066496\"]\n  27 [size=\"92934827\", alpha=\"0.19\", expect_size=\"27880448\"] \n  27 -> 28 [size =\"27880448\"]\n  27 -> 32 [size =\"27880448\"]\n  27 -> 33 [size =\"27880448\"]\n  28 [size=\"57105067\", alpha=\"0.18\", expect_size=\"17131520\"] \n  28 -> 34 [size =\"17131520\"]\n  28 -> 36 [size =\"17131520\"]\n  28 -> 37 [size =\"17131520\"]\n  29 [size=\"44305067\", alpha=\"0.02\", expect_size=\"13291520\"] \n  29 -> 39 [size =\"13291520\"]\n  29 -> 40 [size =\"13291520\"]\n  30 [size=\"166297600\", alpha=\"0.10\", expect_size=\"49889280\"] \n  30 -> 35 [size =\"49889280\"]\n  30 -> 37 [size =\"49889280\"]\n  31 [size=\"26228053\", alpha=\"0.01\", expect_size=\"7868416\"] \n  31 -> 35 [size =\"7868416\"]\n  31 -> 38 [size =\"7868416\"]\n  31 -> 39 [size =\"7868416\"]\n  32 [size=\"84930560\", alpha=\"0.09\", expect_size=\"25479168\"] \n  32 -> 35 [size =\"25479168\"]\n  32 -> 37 [size =\"25479168\"]\n  33 [size=\"42304853\", alpha=\"0.09\", expect_size=\"12691456\"] \n  33 -> 36 [size =\"12691456\"]\n  34 [size=\"91105280\", alpha=\"0.13\", expect_size=\"27331584\"] \n  35 [size=\"165382827\", alpha=\"0.12\", expect_size=\"49614848\"] \n  36 [size=\"76755627\", alpha=\"0.17\", expect_size=\"23026688\"] \n  37 [size=\"106465280\", alpha=\"0.06\", expect_size=\"31939584\"] \n  38 [size=\"98573653\", alpha=\"0.01\", expect_size=\"29572096\"] \n  39 [size=\"84480000\", alpha=\"0.11\", expect_size=\"25344000\"] \n  40 [size=\"102601387\", alpha=\"0.09\", expect_size=\"30780416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21506560\", alpha=\"0.12\", expect_size=\"8602624\"] \n  1 -> 7 [size =\"8602624\"]\n  1 -> 8 [size =\"8602624\"]\n  1 -> 11 [size =\"8602624\"]\n  1 -> 12 [size =\"8602624\"]\n  2 [size=\"26165760\", alpha=\"0.07\", expect_size=\"10466304\"] \n  2 -> 7 [size =\"10466304\"]\n  2 -> 8 [size =\"10466304\"]\n  2 -> 9 [size =\"10466304\"]\n  2 -> 11 [size =\"10466304\"]\n  2 -> 12 [size =\"10466304\"]\n  3 [size=\"52224000\", alpha=\"0.09\", expect_size=\"20889600\"] \n  3 -> 7 [size =\"20889600\"]\n  3 -> 8 [size =\"20889600\"]\n  3 -> 9 [size =\"20889600\"]\n  3 -> 12 [size =\"20889600\"]\n  4 [size=\"70528000\", alpha=\"0.13\", expect_size=\"28211200\"] \n  4 -> 7 [size =\"28211200\"]\n  4 -> 8 [size =\"28211200\"]\n  4 -> 9 [size =\"28211200\"]\n  4 -> 10 [size =\"28211200\"]\n  4 -> 11 [size =\"28211200\"]\n  4 -> 12 [size =\"28211200\"]\n  5 [size=\"112212480\", alpha=\"0.04\", expect_size=\"44884992\"] \n  5 -> 7 [size =\"44884992\"]\n  5 -> 9 [size =\"44884992\"]\n  5 -> 11 [size =\"44884992\"]\n  5 -> 12 [size =\"44884992\"]\n  6 [size=\"117209600\", alpha=\"0.10\", expect_size=\"46883840\"] \n  6 -> 7 [size =\"46883840\"]\n  6 -> 8 [size =\"46883840\"]\n  6 -> 9 [size =\"46883840\"]\n  6 -> 12 [size =\"46883840\"]\n  7 [size=\"70827520\", alpha=\"0.18\", expect_size=\"28331008\"] \n  8 [size=\"47923200\", alpha=\"0.13\", expect_size=\"19169280\"] \n  8 -> 13 [size =\"19169280\"]\n  8 -> 17 [size =\"19169280\"]\n  9 [size=\"111616000\", alpha=\"0.15\", expect_size=\"44646400\"] \n  9 -> 13 [size =\"44646400\"]\n  9 -> 14 [size =\"44646400\"]\n  9 -> 15 [size =\"44646400\"]\n  9 -> 16 [size =\"44646400\"]\n  9 -> 17 [size =\"44646400\"]\n  10 [size=\"93754880\", alpha=\"0.19\", expect_size=\"37501952\"] \n  10 -> 13 [size =\"37501952\"]\n  10 -> 14 [size =\"37501952\"]\n  10 -> 15 [size =\"37501952\"]\n  10 -> 16 [size =\"37501952\"]\n  10 -> 17 [size =\"37501952\"]\n  11 [size=\"96593920\", alpha=\"0.07\", expect_size=\"38637568\"] \n  11 -> 13 [size =\"38637568\"]\n  12 [size=\"51246080\", alpha=\"0.07\", expect_size=\"20498432\"] \n  12 -> 13 [size =\"20498432\"]\n  12 -> 17 [size =\"20498432\"]\n  13 [size=\"90690560\", alpha=\"0.18\", expect_size=\"36276224\"] \n  13 -> 19 [size =\"36276224\"]\n  14 [size=\"25802240\", alpha=\"0.17\", expect_size=\"10320896\"] \n  14 -> 19 [size =\"10320896\"]\n  15 [size=\"100464640\", alpha=\"0.10\", expect_size=\"40185856\"] \n  15 -> 19 [size =\"40185856\"]\n  15 -> 21 [size =\"40185856\"]\n  16 [size=\"124264960\", alpha=\"0.07\", expect_size=\"49705984\"] \n  16 -> 19 [size =\"49705984\"]\n  16 -> 20 [size =\"49705984\"]\n  17 [size=\"62515200\", alpha=\"0.08\", expect_size=\"25006080\"] \n  17 -> 18 [size =\"25006080\"]\n  17 -> 19 [size =\"25006080\"]\n  17 -> 21 [size =\"25006080\"]\n  18 [size=\"50209280\", alpha=\"0.12\", expect_size=\"20083712\"] \n  18 -> 22 [size =\"20083712\"]\n  18 -> 23 [size =\"20083712\"]\n  18 -> 26 [size =\"20083712\"]\n  18 -> 27 [size =\"20083712\"]\n  19 [size=\"127946240\", alpha=\"0.02\", expect_size=\"51178496\"] \n  19 -> 22 [size =\"51178496\"]\n  19 -> 23 [size =\"51178496\"]\n  19 -> 27 [size =\"51178496\"]\n  20 [size=\"97062400\", alpha=\"0.16\", expect_size=\"38824960\"] \n  20 -> 22 [size =\"38824960\"]\n  20 -> 23 [size =\"38824960\"]\n  20 -> 24 [size =\"38824960\"]\n  20 -> 25 [size =\"38824960\"]\n  20 -> 26 [size =\"38824960\"]\n  20 -> 27 [size =\"38824960\"]\n  20 -> 28 [size =\"38824960\"]\n  21 [size=\"88391680\", alpha=\"0.12\", expect_size=\"35356672\"] \n  21 -> 22 [size =\"35356672\"]\n  21 -> 23 [size =\"35356672\"]\n  21 -> 24 [size =\"35356672\"]\n  21 -> 27 [size =\"35356672\"]\n  21 -> 28 [size =\"35356672\"]\n  22 [size=\"130887680\", alpha=\"0.10\", expect_size=\"52355072\"] \n  22 -> 29 [size =\"52355072\"]\n  23 [size=\"53022720\", alpha=\"0.14\", expect_size=\"21209088\"] \n  23 -> 29 [size =\"21209088\"]\n  23 -> 31 [size =\"21209088\"]\n  24 [size=\"38394880\", alpha=\"0.08\", expect_size=\"15357952\"] \n  24 -> 31 [size =\"15357952\"]\n  24 -> 32 [size =\"15357952\"]\n  25 [size=\"17835520\", alpha=\"0.19\", expect_size=\"7134208\"] \n  25 -> 31 [size =\"7134208\"]\n  25 -> 32 [size =\"7134208\"]\n  26 [size=\"79114240\", alpha=\"0.07\", expect_size=\"31645696\"] \n  26 -> 29 [size =\"31645696\"]\n  26 -> 30 [size =\"31645696\"]\n  26 -> 31 [size =\"31645696\"]\n  26 -> 32 [size =\"31645696\"]\n  27 [size=\"119659520\", alpha=\"0.06\", expect_size=\"47863808\"] \n  27 -> 29 [size =\"47863808\"]\n  27 -> 31 [size =\"47863808\"]\n  27 -> 31 [size =\"47863808\"]\n  27 -> 32 [size =\"47863808\"]\n  28 [size=\"50347520\", alpha=\"0.10\", expect_size=\"20139008\"] \n  28 -> 29 [size =\"20139008\"]\n  28 -> 30 [size =\"20139008\"]\n  28 -> 31 [size =\"20139008\"]\n  28 -> 32 [size =\"20139008\"]\n  29 [size=\"119334400\", alpha=\"0.11\", expect_size=\"47733760\"] \n  29 -> 34 [size =\"47733760\"]\n  29 -> 34 [size =\"47733760\"]\n  29 -> 36 [size =\"47733760\"]\n  30 [size=\"13803520\", alpha=\"0.06\", expect_size=\"5521408\"] \n  30 -> 33 [size =\"5521408\"]\n  30 -> 36 [size =\"5521408\"]\n  31 [size=\"109470720\", alpha=\"0.14\", expect_size=\"43788288\"] \n  31 -> 33 [size =\"43788288\"]\n  31 -> 35 [size =\"43788288\"]\n  31 -> 36 [size =\"43788288\"]\n  32 [size=\"60843520\", alpha=\"0.10\", expect_size=\"24337408\"] \n  32 -> 33 [size =\"24337408\"]\n  32 -> 34 [size =\"24337408\"]\n  32 -> 36 [size =\"24337408\"]\n  33 [size=\"116910080\", alpha=\"0.18\", expect_size=\"46764032\"] \n  33 -> 37 [size =\"46764032\"]\n  33 -> 39 [size =\"46764032\"]\n  33 -> 40 [size =\"46764032\"]\n  34 [size=\"80855040\", alpha=\"0.09\", expect_size=\"32342016\"] \n  34 -> 37 [size =\"32342016\"]\n  34 -> 39 [size =\"32342016\"]\n  35 [size=\"128069120\", alpha=\"0.14\", expect_size=\"51227648\"] \n  35 -> 37 [size =\"51227648\"]\n  35 -> 38 [size =\"51227648\"]\n  35 -> 39 [size =\"51227648\"]\n  35 -> 40 [size =\"51227648\"]\n  36 [size=\"121722880\", alpha=\"0.18\", expect_size=\"48689152\"] \n  36 -> 37 [size =\"48689152\"]\n  36 -> 38 [size =\"48689152\"]\n  36 -> 39 [size =\"48689152\"]\n  36 -> 40 [size =\"48689152\"]\n  37 [size=\"47964160\", alpha=\"0.11\", expect_size=\"19185664\"] \n  38 [size=\"82472960\", alpha=\"0.10\", expect_size=\"32989184\"] \n  39 [size=\"24140800\", alpha=\"0.08\", expect_size=\"9656320\"] \n  40 [size=\"89438720\", alpha=\"0.01\", expect_size=\"35775488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134246400\", alpha=\"0.11\", expect_size=\"40273920\"] \n  1 -> 2 [size =\"40273920\"]\n  2 [size=\"98461013\", alpha=\"0.17\", expect_size=\"29538304\"] \n  2 -> 3 [size =\"29538304\"]\n  3 [size=\"89562453\", alpha=\"0.07\", expect_size=\"26868736\"] \n  3 -> 4 [size =\"26868736\"]\n  4 [size=\"140175360\", alpha=\"0.06\", expect_size=\"42052608\"] \n  4 -> 5 [size =\"42052608\"]\n  5 [size=\"27678720\", alpha=\"0.18\", expect_size=\"8303616\"] \n  5 -> 6 [size =\"8303616\"]\n  6 [size=\"68922027\", alpha=\"0.05\", expect_size=\"20676608\"] \n  6 -> 7 [size =\"20676608\"]\n  7 [size=\"137171627\", alpha=\"0.13\", expect_size=\"41151488\"] \n  7 -> 8 [size =\"41151488\"]\n  8 [size=\"38536533\", alpha=\"0.18\", expect_size=\"11560960\"] \n  8 -> 9 [size =\"11560960\"]\n  9 [size=\"167430827\", alpha=\"0.07\", expect_size=\"50229248\"] \n  9 -> 10 [size =\"50229248\"]\n  10 [size=\"157634560\", alpha=\"0.19\", expect_size=\"47290368\"] \n  10 -> 11 [size =\"47290368\"]\n  11 [size=\"96252587\", alpha=\"0.12\", expect_size=\"28875776\"] \n  11 -> 12 [size =\"28875776\"]\n  12 [size=\"22647467\", alpha=\"0.14\", expect_size=\"6794240\"] \n  12 -> 13 [size =\"6794240\"]\n  13 [size=\"153535147\", alpha=\"0.13\", expect_size=\"46060544\"] \n  13 -> 14 [size =\"46060544\"]\n  14 [size=\"48138240\", alpha=\"0.10\", expect_size=\"14441472\"] \n  14 -> 15 [size =\"14441472\"]\n  15 [size=\"94344533\", alpha=\"0.18\", expect_size=\"28303360\"] \n  15 -> 16 [size =\"28303360\"]\n  16 [size=\"77598720\", alpha=\"0.06\", expect_size=\"23279616\"] \n  16 -> 17 [size =\"23279616\"]\n  17 [size=\"120490667\", alpha=\"0.14\", expect_size=\"36147200\"] \n  17 -> 18 [size =\"36147200\"]\n  18 [size=\"67058347\", alpha=\"0.02\", expect_size=\"20117504\"] \n  18 -> 19 [size =\"20117504\"]\n  19 [size=\"52507307\", alpha=\"0.16\", expect_size=\"15752192\"] \n  19 -> 20 [size =\"15752192\"]\n  20 [size=\"109725013\", alpha=\"0.03\", expect_size=\"32917504\"] \n  20 -> 21 [size =\"32917504\"]\n  21 [size=\"97986560\", alpha=\"0.04\", expect_size=\"29395968\"] \n  21 -> 22 [size =\"29395968\"]\n  22 [size=\"36833280\", alpha=\"0.16\", expect_size=\"11049984\"] \n  22 -> 23 [size =\"11049984\"]\n  23 [size=\"150545067\", alpha=\"0.17\", expect_size=\"45163520\"] \n  23 -> 24 [size =\"45163520\"]\n  24 [size=\"92958720\", alpha=\"0.13\", expect_size=\"27887616\"] \n  24 -> 25 [size =\"27887616\"]\n  25 [size=\"169263787\", alpha=\"0.11\", expect_size=\"50779136\"] \n  25 -> 26 [size =\"50779136\"]\n  26 [size=\"157426347\", alpha=\"0.15\", expect_size=\"47227904\"] \n  26 -> 27 [size =\"47227904\"]\n  27 [size=\"43748693\", alpha=\"0.15\", expect_size=\"13124608\"] \n  27 -> 28 [size =\"13124608\"]\n  28 [size=\"151391573\", alpha=\"0.17\", expect_size=\"45417472\"] \n  28 -> 29 [size =\"45417472\"]\n  29 [size=\"170509653\", alpha=\"0.18\", expect_size=\"51152896\"] \n  29 -> 30 [size =\"51152896\"]\n  30 [size=\"139448320\", alpha=\"0.17\", expect_size=\"41834496\"] \n  30 -> 31 [size =\"41834496\"]\n  31 [size=\"160047787\", alpha=\"0.07\", expect_size=\"48014336\"] \n  31 -> 32 [size =\"48014336\"]\n  32 [size=\"34501973\", alpha=\"0.16\", expect_size=\"10350592\"] \n  32 -> 33 [size =\"10350592\"]\n  33 [size=\"158375253\", alpha=\"0.03\", expect_size=\"47512576\"] \n  33 -> 34 [size =\"47512576\"]\n  34 [size=\"131898027\", alpha=\"0.14\", expect_size=\"39569408\"] \n  34 -> 35 [size =\"39569408\"]\n  35 [size=\"77765973\", alpha=\"0.15\", expect_size=\"23329792\"] \n  35 -> 36 [size =\"23329792\"]\n  36 [size=\"163474773\", alpha=\"0.04\", expect_size=\"49042432\"] \n  36 -> 37 [size =\"49042432\"]\n  37 [size=\"125893973\", alpha=\"0.05\", expect_size=\"37768192\"] \n  37 -> 38 [size =\"37768192\"]\n  38 [size=\"84718933\", alpha=\"0.13\", expect_size=\"25415680\"] \n  38 -> 39 [size =\"25415680\"]\n  39 [size=\"61016747\", alpha=\"0.05\", expect_size=\"18305024\"] \n  39 -> 40 [size =\"18305024\"]\n  40 [size=\"47452160\", alpha=\"0.09\", expect_size=\"14235648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102036480\", alpha=\"0.18\", expect_size=\"40814592\"] \n  1 -> 23 [size =\"40814592\"]\n  1 -> 27 [size =\"40814592\"]\n  1 -> 28 [size =\"40814592\"]\n  1 -> 30 [size =\"40814592\"]\n  1 -> 31 [size =\"40814592\"]\n  1 -> 34 [size =\"40814592\"]\n  1 -> 34 [size =\"40814592\"]\n  1 -> 35 [size =\"40814592\"]\n  1 -> 36 [size =\"40814592\"]\n  1 -> 38 [size =\"40814592\"]\n  1 -> 39 [size =\"40814592\"]\n  1 -> 40 [size =\"40814592\"]\n  2 [size=\"80821760\", alpha=\"0.04\", expect_size=\"32328704\"] \n  2 -> 23 [size =\"32328704\"]\n  2 -> 25 [size =\"32328704\"]\n  2 -> 26 [size =\"32328704\"]\n  2 -> 27 [size =\"32328704\"]\n  2 -> 28 [size =\"32328704\"]\n  2 -> 29 [size =\"32328704\"]\n  2 -> 30 [size =\"32328704\"]\n  2 -> 32 [size =\"32328704\"]\n  2 -> 35 [size =\"32328704\"]\n  2 -> 36 [size =\"32328704\"]\n  2 -> 38 [size =\"32328704\"]\n  2 -> 39 [size =\"32328704\"]\n  3 [size=\"116124160\", alpha=\"0.16\", expect_size=\"46449664\"] \n  3 -> 23 [size =\"46449664\"]\n  3 -> 24 [size =\"46449664\"]\n  3 -> 26 [size =\"46449664\"]\n  3 -> 29 [size =\"46449664\"]\n  3 -> 35 [size =\"46449664\"]\n  3 -> 36 [size =\"46449664\"]\n  3 -> 38 [size =\"46449664\"]\n  4 [size=\"25784320\", alpha=\"0.15\", expect_size=\"10313728\"] \n  4 -> 23 [size =\"10313728\"]\n  4 -> 24 [size =\"10313728\"]\n  4 -> 26 [size =\"10313728\"]\n  4 -> 27 [size =\"10313728\"]\n  4 -> 29 [size =\"10313728\"]\n  4 -> 34 [size =\"10313728\"]\n  4 -> 35 [size =\"10313728\"]\n  4 -> 36 [size =\"10313728\"]\n  4 -> 38 [size =\"10313728\"]\n  4 -> 39 [size =\"10313728\"]\n  5 [size=\"16253440\", alpha=\"0.17\", expect_size=\"6501376\"] \n  5 -> 24 [size =\"6501376\"]\n  5 -> 26 [size =\"6501376\"]\n  5 -> 26 [size =\"6501376\"]\n  5 -> 27 [size =\"6501376\"]\n  5 -> 28 [size =\"6501376\"]\n  5 -> 29 [size =\"6501376\"]\n  5 -> 31 [size =\"6501376\"]\n  5 -> 32 [size =\"6501376\"]\n  5 -> 34 [size =\"6501376\"]\n  5 -> 40 [size =\"6501376\"]\n  6 [size=\"123863040\", alpha=\"0.03\", expect_size=\"49545216\"] \n  6 -> 24 [size =\"49545216\"]\n  6 -> 25 [size =\"49545216\"]\n  6 -> 26 [size =\"49545216\"]\n  6 -> 27 [size =\"49545216\"]\n  6 -> 28 [size =\"49545216\"]\n  6 -> 30 [size =\"49545216\"]\n  6 -> 31 [size =\"49545216\"]\n  6 -> 33 [size =\"49545216\"]\n  6 -> 34 [size =\"49545216\"]\n  6 -> 35 [size =\"49545216\"]\n  6 -> 36 [size =\"49545216\"]\n  6 -> 37 [size =\"49545216\"]\n  6 -> 38 [size =\"49545216\"]\n  6 -> 39 [size =\"49545216\"]\n  6 -> 40 [size =\"49545216\"]\n  7 [size=\"88181760\", alpha=\"0.13\", expect_size=\"35272704\"] \n  7 -> 24 [size =\"35272704\"]\n  7 -> 26 [size =\"35272704\"]\n  7 -> 27 [size =\"35272704\"]\n  7 -> 28 [size =\"35272704\"]\n  7 -> 30 [size =\"35272704\"]\n  7 -> 33 [size =\"35272704\"]\n  7 -> 34 [size =\"35272704\"]\n  7 -> 36 [size =\"35272704\"]\n  7 -> 38 [size =\"35272704\"]\n  7 -> 39 [size =\"35272704\"]\n  7 -> 40 [size =\"35272704\"]\n  8 [size=\"44838400\", alpha=\"0.01\", expect_size=\"17935360\"] \n  8 -> 23 [size =\"17935360\"]\n  8 -> 24 [size =\"17935360\"]\n  8 -> 25 [size =\"17935360\"]\n  8 -> 26 [size =\"17935360\"]\n  8 -> 27 [size =\"17935360\"]\n  8 -> 28 [size =\"17935360\"]\n  8 -> 30 [size =\"17935360\"]\n  8 -> 31 [size =\"17935360\"]\n  8 -> 37 [size =\"17935360\"]\n  8 -> 40 [size =\"17935360\"]\n  8 -> 40 [size =\"17935360\"]\n  9 [size=\"77985280\", alpha=\"0.16\", expect_size=\"31194112\"] \n  9 -> 23 [size =\"31194112\"]\n  9 -> 24 [size =\"31194112\"]\n  9 -> 25 [size =\"31194112\"]\n  9 -> 27 [size =\"31194112\"]\n  9 -> 28 [size =\"31194112\"]\n  9 -> 31 [size =\"31194112\"]\n  9 -> 32 [size =\"31194112\"]\n  9 -> 34 [size =\"31194112\"]\n  9 -> 35 [size =\"31194112\"]\n  9 -> 36 [size =\"31194112\"]\n  9 -> 37 [size =\"31194112\"]\n  9 -> 38 [size =\"31194112\"]\n  9 -> 40 [size =\"31194112\"]\n  10 [size=\"55585280\", alpha=\"0.03\", expect_size=\"22234112\"] \n  10 -> 24 [size =\"22234112\"]\n  10 -> 25 [size =\"22234112\"]\n  10 -> 27 [size =\"22234112\"]\n  10 -> 28 [size =\"22234112\"]\n  10 -> 28 [size =\"22234112\"]\n  10 -> 30 [size =\"22234112\"]\n  10 -> 31 [size =\"22234112\"]\n  10 -> 32 [size =\"22234112\"]\n  10 -> 35 [size =\"22234112\"]\n  10 -> 36 [size =\"22234112\"]\n  10 -> 37 [size =\"22234112\"]\n  10 -> 38 [size =\"22234112\"]\n  11 [size=\"42224640\", alpha=\"0.07\", expect_size=\"16889856\"] \n  11 -> 28 [size =\"16889856\"]\n  11 -> 30 [size =\"16889856\"]\n  11 -> 31 [size =\"16889856\"]\n  11 -> 32 [size =\"16889856\"]\n  11 -> 35 [size =\"16889856\"]\n  11 -> 36 [size =\"16889856\"]\n  11 -> 37 [size =\"16889856\"]\n  11 -> 40 [size =\"16889856\"]\n  12 [size=\"32680960\", alpha=\"0.12\", expect_size=\"13072384\"] \n  12 -> 25 [size =\"13072384\"]\n  12 -> 26 [size =\"13072384\"]\n  12 -> 30 [size =\"13072384\"]\n  12 -> 31 [size =\"13072384\"]\n  12 -> 32 [size =\"13072384\"]\n  12 -> 34 [size =\"13072384\"]\n  12 -> 36 [size =\"13072384\"]\n  12 -> 37 [size =\"13072384\"]\n  12 -> 38 [size =\"13072384\"]\n  12 -> 40 [size =\"13072384\"]\n  13 [size=\"57955840\", alpha=\"0.19\", expect_size=\"23182336\"] \n  13 -> 23 [size =\"23182336\"]\n  13 -> 24 [size =\"23182336\"]\n  13 -> 25 [size =\"23182336\"]\n  13 -> 26 [size =\"23182336\"]\n  13 -> 30 [size =\"23182336\"]\n  13 -> 31 [size =\"23182336\"]\n  13 -> 32 [size =\"23182336\"]\n  13 -> 33 [size =\"23182336\"]\n  13 -> 36 [size =\"23182336\"]\n  13 -> 37 [size =\"23182336\"]\n  13 -> 38 [size =\"23182336\"]\n  13 -> 39 [size =\"23182336\"]\n  13 -> 40 [size =\"23182336\"]\n  14 [size=\"32791040\", alpha=\"0.08\", expect_size=\"13116416\"] \n  14 -> 23 [size =\"13116416\"]\n  14 -> 24 [size =\"13116416\"]\n  14 -> 26 [size =\"13116416\"]\n  14 -> 29 [size =\"13116416\"]\n  14 -> 31 [size =\"13116416\"]\n  14 -> 31 [size =\"13116416\"]\n  14 -> 32 [size =\"13116416\"]\n  14 -> 33 [size =\"13116416\"]\n  14 -> 36 [size =\"13116416\"]\n  14 -> 37 [size =\"13116416\"]\n  14 -> 38 [size =\"13116416\"]\n  14 -> 40 [size =\"13116416\"]\n  15 [size=\"118323200\", alpha=\"0.02\", expect_size=\"47329280\"] \n  15 -> 26 [size =\"47329280\"]\n  15 -> 27 [size =\"47329280\"]\n  15 -> 28 [size =\"47329280\"]\n  15 -> 31 [size =\"47329280\"]\n  15 -> 31 [size =\"47329280\"]\n  15 -> 32 [size =\"47329280\"]\n  15 -> 35 [size =\"47329280\"]\n  15 -> 39 [size =\"47329280\"]\n  15 -> 40 [size =\"47329280\"]\n  16 [size=\"102481920\", alpha=\"0.08\", expect_size=\"40992768\"] \n  16 -> 23 [size =\"40992768\"]\n  16 -> 26 [size =\"40992768\"]\n  16 -> 27 [size =\"40992768\"]\n  16 -> 28 [size =\"40992768\"]\n  16 -> 31 [size =\"40992768\"]\n  16 -> 32 [size =\"40992768\"]\n  16 -> 35 [size =\"40992768\"]\n  16 -> 36 [size =\"40992768\"]\n  16 -> 39 [size =\"40992768\"]\n  16 -> 40 [size =\"40992768\"]\n  17 [size=\"119495680\", alpha=\"0.11\", expect_size=\"47798272\"] \n  17 -> 25 [size =\"47798272\"]\n  17 -> 26 [size =\"47798272\"]\n  17 -> 27 [size =\"47798272\"]\n  17 -> 28 [size =\"47798272\"]\n  17 -> 29 [size =\"47798272\"]\n  17 -> 33 [size =\"47798272\"]\n  17 -> 34 [size =\"47798272\"]\n  17 -> 38 [size =\"47798272\"]\n  17 -> 39 [size =\"47798272\"]\n  18 [size=\"80506880\", alpha=\"0.15\", expect_size=\"32202752\"] \n  18 -> 26 [size =\"32202752\"]\n  18 -> 27 [size =\"32202752\"]\n  18 -> 27 [size =\"32202752\"]\n  18 -> 28 [size =\"32202752\"]\n  18 -> 31 [size =\"32202752\"]\n  18 -> 37 [size =\"32202752\"]\n  18 -> 40 [size =\"32202752\"]\n  19 [size=\"85035520\", alpha=\"0.06\", expect_size=\"34014208\"] \n  19 -> 23 [size =\"34014208\"]\n  19 -> 24 [size =\"34014208\"]\n  19 -> 25 [size =\"34014208\"]\n  19 -> 26 [size =\"34014208\"]\n  19 -> 27 [size =\"34014208\"]\n  19 -> 28 [size =\"34014208\"]\n  19 -> 29 [size =\"34014208\"]\n  19 -> 30 [size =\"34014208\"]\n  19 -> 31 [size =\"34014208\"]\n  19 -> 32 [size =\"34014208\"]\n  19 -> 34 [size =\"34014208\"]\n  19 -> 35 [size =\"34014208\"]\n  19 -> 36 [size =\"34014208\"]\n  19 -> 40 [size =\"34014208\"]\n  20 [size=\"62627840\", alpha=\"0.12\", expect_size=\"25051136\"] \n  20 -> 23 [size =\"25051136\"]\n  20 -> 26 [size =\"25051136\"]\n  20 -> 27 [size =\"25051136\"]\n  20 -> 29 [size =\"25051136\"]\n  20 -> 30 [size =\"25051136\"]\n  20 -> 31 [size =\"25051136\"]\n  20 -> 32 [size =\"25051136\"]\n  20 -> 33 [size =\"25051136\"]\n  20 -> 34 [size =\"25051136\"]\n  20 -> 37 [size =\"25051136\"]\n  20 -> 40 [size =\"25051136\"]\n  21 [size=\"81569280\", alpha=\"0.14\", expect_size=\"32627712\"] \n  21 -> 23 [size =\"32627712\"]\n  21 -> 24 [size =\"32627712\"]\n  21 -> 26 [size =\"32627712\"]\n  21 -> 27 [size =\"32627712\"]\n  21 -> 28 [size =\"32627712\"]\n  21 -> 29 [size =\"32627712\"]\n  21 -> 32 [size =\"32627712\"]\n  21 -> 34 [size =\"32627712\"]\n  21 -> 34 [size =\"32627712\"]\n  21 -> 37 [size =\"32627712\"]\n  21 -> 38 [size =\"32627712\"]\n  21 -> 40 [size =\"32627712\"]\n  22 [size=\"121077760\", alpha=\"0.07\", expect_size=\"48431104\"] \n  22 -> 23 [size =\"48431104\"]\n  22 -> 24 [size =\"48431104\"]\n  22 -> 25 [size =\"48431104\"]\n  22 -> 27 [size =\"48431104\"]\n  22 -> 28 [size =\"48431104\"]\n  22 -> 29 [size =\"48431104\"]\n  22 -> 34 [size =\"48431104\"]\n  22 -> 34 [size =\"48431104\"]\n  22 -> 37 [size =\"48431104\"]\n  22 -> 38 [size =\"48431104\"]\n  22 -> 39 [size =\"48431104\"]\n  22 -> 40 [size =\"48431104\"]\n  23 [size=\"76769280\", alpha=\"0.17\", expect_size=\"30707712\"] \n  24 [size=\"72616960\", alpha=\"0.09\", expect_size=\"29046784\"] \n  25 [size=\"119393280\", alpha=\"0.02\", expect_size=\"47757312\"] \n  26 [size=\"13109760\", alpha=\"0.14\", expect_size=\"5243904\"] \n  27 [size=\"61639680\", alpha=\"0.19\", expect_size=\"24655872\"] \n  28 [size=\"126561280\", alpha=\"0.09\", expect_size=\"50624512\"] \n  29 [size=\"95472640\", alpha=\"0.10\", expect_size=\"38189056\"] \n  30 [size=\"13342720\", alpha=\"0.18\", expect_size=\"5337088\"] \n  31 [size=\"86410240\", alpha=\"0.11\", expect_size=\"34564096\"] \n  32 [size=\"49715200\", alpha=\"0.07\", expect_size=\"19886080\"] \n  33 [size=\"88936960\", alpha=\"0.11\", expect_size=\"35574784\"] \n  34 [size=\"71160320\", alpha=\"0.18\", expect_size=\"28464128\"] \n  35 [size=\"127029760\", alpha=\"0.04\", expect_size=\"50811904\"] \n  36 [size=\"23761920\", alpha=\"0.04\", expect_size=\"9504768\"] \n  37 [size=\"108049920\", alpha=\"0.02\", expect_size=\"43219968\"] \n  38 [size=\"101068800\", alpha=\"0.12\", expect_size=\"40427520\"] \n  39 [size=\"34554880\", alpha=\"0.14\", expect_size=\"13821952\"] \n  40 [size=\"91351040\", alpha=\"0.04\", expect_size=\"36540416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41480192\", alpha=\"0.06\", expect_size=\"20740096\"] \n  1 -> 3 [size =\"20740096\"]\n  1 -> 5 [size =\"20740096\"]\n  2 [size=\"49070080\", alpha=\"0.14\", expect_size=\"24535040\"] \n  2 -> 3 [size =\"24535040\"]\n  2 -> 4 [size =\"24535040\"]\n  2 -> 5 [size =\"24535040\"]\n  3 [size=\"29966336\", alpha=\"0.15\", expect_size=\"14983168\"] \n  3 -> 8 [size =\"14983168\"]\n  4 [size=\"54077440\", alpha=\"0.11\", expect_size=\"27038720\"] \n  4 -> 6 [size =\"27038720\"]\n  5 [size=\"60858368\", alpha=\"0.07\", expect_size=\"30429184\"] \n  5 -> 7 [size =\"30429184\"]\n  5 -> 8 [size =\"30429184\"]\n  6 [size=\"80066560\", alpha=\"0.19\", expect_size=\"40033280\"] \n  6 -> 9 [size =\"40033280\"]\n  6 -> 11 [size =\"40033280\"]\n  7 [size=\"66684928\", alpha=\"0.10\", expect_size=\"33342464\"] \n  7 -> 9 [size =\"33342464\"]\n  8 [size=\"93614080\", alpha=\"0.09\", expect_size=\"46807040\"] \n  8 -> 10 [size =\"46807040\"]\n  8 -> 11 [size =\"46807040\"]\n  9 [size=\"55332864\", alpha=\"0.03\", expect_size=\"27666432\"] \n  9 -> 12 [size =\"27666432\"]\n  9 -> 14 [size =\"27666432\"]\n  10 [size=\"94525440\", alpha=\"0.15\", expect_size=\"47262720\"] \n  10 -> 13 [size =\"47262720\"]\n  11 [size=\"74153984\", alpha=\"0.02\", expect_size=\"37076992\"] \n  11 -> 12 [size =\"37076992\"]\n  12 [size=\"102651904\", alpha=\"0.00\", expect_size=\"51325952\"] \n  12 -> 15 [size =\"51325952\"]\n  13 [size=\"73875456\", alpha=\"0.05\", expect_size=\"36937728\"] \n  13 -> 15 [size =\"36937728\"]\n  14 [size=\"48439296\", alpha=\"0.02\", expect_size=\"24219648\"] \n  14 -> 16 [size =\"24219648\"]\n  15 [size=\"98428928\", alpha=\"0.09\", expect_size=\"49214464\"] \n  15 -> 18 [size =\"49214464\"]\n  16 [size=\"37556224\", alpha=\"0.17\", expect_size=\"18778112\"] \n  16 -> 17 [size =\"18778112\"]\n  16 -> 18 [size =\"18778112\"]\n  17 [size=\"33712128\", alpha=\"0.19\", expect_size=\"16856064\"] \n  17 -> 20 [size =\"16856064\"]\n  18 [size=\"78716928\", alpha=\"0.10\", expect_size=\"39358464\"] \n  18 -> 19 [size =\"39358464\"]\n  18 -> 21 [size =\"39358464\"]\n  19 [size=\"29151232\", alpha=\"0.09\", expect_size=\"14575616\"] \n  19 -> 23 [size =\"14575616\"]\n  20 [size=\"42008576\", alpha=\"0.07\", expect_size=\"21004288\"] \n  20 -> 22 [size =\"21004288\"]\n  20 -> 23 [size =\"21004288\"]\n  20 -> 24 [size =\"21004288\"]\n  21 [size=\"16312320\", alpha=\"0.12\", expect_size=\"8156160\"] \n  21 -> 24 [size =\"8156160\"]\n  22 [size=\"24203264\", alpha=\"0.05\", expect_size=\"12101632\"] \n  22 -> 26 [size =\"12101632\"]\n  23 [size=\"26396672\", alpha=\"0.02\", expect_size=\"13198336\"] \n  24 [size=\"48662528\", alpha=\"0.08\", expect_size=\"24331264\"] \n  24 -> 25 [size =\"24331264\"]\n  25 [size=\"58574848\", alpha=\"0.05\", expect_size=\"29287424\"] \n  25 -> 27 [size =\"29287424\"]\n  25 -> 28 [size =\"29287424\"]\n  25 -> 29 [size =\"29287424\"]\n  26 [size=\"101814272\", alpha=\"0.17\", expect_size=\"50907136\"] \n  26 -> 27 [size =\"50907136\"]\n  26 -> 28 [size =\"50907136\"]\n  27 [size=\"89057280\", alpha=\"0.01\", expect_size=\"44528640\"] \n  27 -> 30 [size =\"44528640\"]\n  27 -> 31 [size =\"44528640\"]\n  28 [size=\"84240384\", alpha=\"0.02\", expect_size=\"42120192\"] \n  28 -> 31 [size =\"42120192\"]\n  29 [size=\"39282688\", alpha=\"0.13\", expect_size=\"19641344\"] \n  30 [size=\"81907712\", alpha=\"0.01\", expect_size=\"40953856\"] \n  30 -> 32 [size =\"40953856\"]\n  30 -> 33 [size =\"40953856\"]\n  31 [size=\"21639168\", alpha=\"0.03\", expect_size=\"10819584\"] \n  31 -> 33 [size =\"10819584\"]\n  31 -> 34 [size =\"10819584\"]\n  32 [size=\"78217216\", alpha=\"0.05\", expect_size=\"39108608\"] \n  33 [size=\"101480448\", alpha=\"0.20\", expect_size=\"50740224\"] \n  33 -> 36 [size =\"50740224\"]\n  34 [size=\"16539648\", alpha=\"0.03\", expect_size=\"8269824\"] \n  34 -> 35 [size =\"8269824\"]\n  34 -> 37 [size =\"8269824\"]\n  35 [size=\"55732224\", alpha=\"0.05\", expect_size=\"27866112\"] \n  35 -> 39 [size =\"27866112\"]\n  36 [size=\"80687104\", alpha=\"0.12\", expect_size=\"40343552\"] \n  36 -> 40 [size =\"40343552\"]\n  37 [size=\"66613248\", alpha=\"0.05\", expect_size=\"33306624\"] \n  37 -> 38 [size =\"33306624\"]\n  37 -> 39 [size =\"33306624\"]\n  38 [size=\"69711872\", alpha=\"0.11\", expect_size=\"34855936\"] \n  39 [size=\"78739456\", alpha=\"0.02\", expect_size=\"39369728\"] \n  40 [size=\"44169216\", alpha=\"0.20\", expect_size=\"22084608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48166912\", alpha=\"0.20\", expect_size=\"24083456\"] \n  1 -> 4 [size =\"24083456\"]\n  1 -> 5 [size =\"24083456\"]\n  2 [size=\"97675264\", alpha=\"0.02\", expect_size=\"48837632\"] \n  2 -> 4 [size =\"48837632\"]\n  2 -> 5 [size =\"48837632\"]\n  3 [size=\"40708096\", alpha=\"0.13\", expect_size=\"20354048\"] \n  3 -> 4 [size =\"20354048\"]\n  3 -> 5 [size =\"20354048\"]\n  4 [size=\"39421952\", alpha=\"0.02\", expect_size=\"19710976\"] \n  4 -> 6 [size =\"19710976\"]\n  5 [size=\"70039552\", alpha=\"0.02\", expect_size=\"35019776\"] \n  5 -> 6 [size =\"35019776\"]\n  5 -> 7 [size =\"35019776\"]\n  6 [size=\"35067904\", alpha=\"0.07\", expect_size=\"17533952\"] \n  6 -> 8 [size =\"17533952\"]\n  6 -> 9 [size =\"17533952\"]\n  7 [size=\"48179200\", alpha=\"0.06\", expect_size=\"24089600\"] \n  7 -> 8 [size =\"24089600\"]\n  7 -> 9 [size =\"24089600\"]\n  8 [size=\"102440960\", alpha=\"0.06\", expect_size=\"51220480\"] \n  8 -> 10 [size =\"51220480\"]\n  8 -> 11 [size =\"51220480\"]\n  9 [size=\"65556480\", alpha=\"0.04\", expect_size=\"32778240\"] \n  9 -> 10 [size =\"32778240\"]\n  9 -> 11 [size =\"32778240\"]\n  9 -> 12 [size =\"32778240\"]\n  10 [size=\"83267584\", alpha=\"0.09\", expect_size=\"41633792\"] \n  10 -> 13 [size =\"41633792\"]\n  10 -> 14 [size =\"41633792\"]\n  10 -> 15 [size =\"41633792\"]\n  11 [size=\"55889920\", alpha=\"0.01\", expect_size=\"27944960\"] \n  11 -> 14 [size =\"27944960\"]\n  11 -> 15 [size =\"27944960\"]\n  12 [size=\"55097344\", alpha=\"0.20\", expect_size=\"27548672\"] \n  12 -> 13 [size =\"27548672\"]\n  13 [size=\"66682880\", alpha=\"0.16\", expect_size=\"33341440\"] \n  13 -> 17 [size =\"33341440\"]\n  13 -> 18 [size =\"33341440\"]\n  14 [size=\"34115584\", alpha=\"0.09\", expect_size=\"17057792\"] \n  14 -> 16 [size =\"17057792\"]\n  14 -> 17 [size =\"17057792\"]\n  14 -> 18 [size =\"17057792\"]\n  15 [size=\"45899776\", alpha=\"0.15\", expect_size=\"22949888\"] \n  15 -> 16 [size =\"22949888\"]\n  15 -> 18 [size =\"22949888\"]\n  16 [size=\"54425600\", alpha=\"0.08\", expect_size=\"27212800\"] \n  16 -> 20 [size =\"27212800\"]\n  16 -> 20 [size =\"27212800\"]\n  16 -> 21 [size =\"27212800\"]\n  17 [size=\"88078336\", alpha=\"0.17\", expect_size=\"44039168\"] \n  17 -> 19 [size =\"44039168\"]\n  17 -> 21 [size =\"44039168\"]\n  18 [size=\"22425600\", alpha=\"0.04\", expect_size=\"11212800\"] \n  18 -> 19 [size =\"11212800\"]\n  18 -> 20 [size =\"11212800\"]\n  18 -> 21 [size =\"11212800\"]\n  19 [size=\"52137984\", alpha=\"0.04\", expect_size=\"26068992\"] \n  19 -> 23 [size =\"26068992\"]\n  20 [size=\"72445952\", alpha=\"0.19\", expect_size=\"36222976\"] \n  20 -> 22 [size =\"36222976\"]\n  20 -> 23 [size =\"36222976\"]\n  21 [size=\"22716416\", alpha=\"0.03\", expect_size=\"11358208\"] \n  21 -> 23 [size =\"11358208\"]\n  22 [size=\"28966912\", alpha=\"0.05\", expect_size=\"14483456\"] \n  22 -> 24 [size =\"14483456\"]\n  22 -> 25 [size =\"14483456\"]\n  22 -> 26 [size =\"14483456\"]\n  23 [size=\"26712064\", alpha=\"0.13\", expect_size=\"13356032\"] \n  23 -> 24 [size =\"13356032\"]\n  23 -> 25 [size =\"13356032\"]\n  23 -> 26 [size =\"13356032\"]\n  24 [size=\"103806976\", alpha=\"0.07\", expect_size=\"51903488\"] \n  24 -> 27 [size =\"51903488\"]\n  24 -> 28 [size =\"51903488\"]\n  24 -> 29 [size =\"51903488\"]\n  25 [size=\"53975040\", alpha=\"0.14\", expect_size=\"26987520\"] \n  25 -> 27 [size =\"26987520\"]\n  25 -> 28 [size =\"26987520\"]\n  25 -> 29 [size =\"26987520\"]\n  26 [size=\"31647744\", alpha=\"0.06\", expect_size=\"15823872\"] \n  26 -> 28 [size =\"15823872\"]\n  26 -> 29 [size =\"15823872\"]\n  27 [size=\"69128192\", alpha=\"0.06\", expect_size=\"34564096\"] \n  27 -> 30 [size =\"34564096\"]\n  27 -> 31 [size =\"34564096\"]\n  27 -> 32 [size =\"34564096\"]\n  28 [size=\"54900736\", alpha=\"0.06\", expect_size=\"27450368\"] \n  28 -> 30 [size =\"27450368\"]\n  28 -> 31 [size =\"27450368\"]\n  29 [size=\"72155136\", alpha=\"0.17\", expect_size=\"36077568\"] \n  29 -> 30 [size =\"36077568\"]\n  29 -> 32 [size =\"36077568\"]\n  30 [size=\"91478016\", alpha=\"0.04\", expect_size=\"45739008\"] \n  30 -> 33 [size =\"45739008\"]\n  30 -> 34 [size =\"45739008\"]\n  31 [size=\"88829952\", alpha=\"0.01\", expect_size=\"44414976\"] \n  31 -> 33 [size =\"44414976\"]\n  32 [size=\"101894144\", alpha=\"0.06\", expect_size=\"50947072\"] \n  32 -> 33 [size =\"50947072\"]\n  33 [size=\"29114368\", alpha=\"0.04\", expect_size=\"14557184\"] \n  33 -> 36 [size =\"14557184\"]\n  34 [size=\"89458688\", alpha=\"0.07\", expect_size=\"44729344\"] \n  34 -> 35 [size =\"44729344\"]\n  34 -> 36 [size =\"44729344\"]\n  34 -> 37 [size =\"44729344\"]\n  35 [size=\"28749824\", alpha=\"0.17\", expect_size=\"14374912\"] \n  36 [size=\"95285248\", alpha=\"0.17\", expect_size=\"47642624\"] \n  36 -> 38 [size =\"47642624\"]\n  37 [size=\"30533632\", alpha=\"0.13\", expect_size=\"15266816\"] \n  37 -> 38 [size =\"15266816\"]\n  37 -> 39 [size =\"15266816\"]\n  38 [size=\"60932096\", alpha=\"0.11\", expect_size=\"30466048\"] \n  38 -> 40 [size =\"30466048\"]\n  39 [size=\"89692160\", alpha=\"0.19\", expect_size=\"44846080\"] \n  39 -> 40 [size =\"44846080\"]\n  40 [size=\"77514752\", alpha=\"0.19\", expect_size=\"38757376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85271040\", alpha=\"0.04\", expect_size=\"34108416\"] \n  1 -> 6 [size =\"34108416\"]\n  1 -> 7 [size =\"34108416\"]\n  1 -> 8 [size =\"34108416\"]\n  1 -> 9 [size =\"34108416\"]\n  1 -> 11 [size =\"34108416\"]\n  2 [size=\"38187520\", alpha=\"0.17\", expect_size=\"15275008\"] \n  2 -> 6 [size =\"15275008\"]\n  2 -> 7 [size =\"15275008\"]\n  2 -> 9 [size =\"15275008\"]\n  2 -> 10 [size =\"15275008\"]\n  2 -> 11 [size =\"15275008\"]\n  3 [size=\"98920960\", alpha=\"0.15\", expect_size=\"39568384\"] \n  3 -> 8 [size =\"39568384\"]\n  3 -> 9 [size =\"39568384\"]\n  4 [size=\"84544000\", alpha=\"0.15\", expect_size=\"33817600\"] \n  4 -> 10 [size =\"33817600\"]\n  4 -> 11 [size =\"33817600\"]\n  5 [size=\"17305600\", alpha=\"0.14\", expect_size=\"6922240\"] \n  5 -> 9 [size =\"6922240\"]\n  5 -> 10 [size =\"6922240\"]\n  6 [size=\"20249600\", alpha=\"0.05\", expect_size=\"8099840\"] \n  6 -> 12 [size =\"8099840\"]\n  6 -> 13 [size =\"8099840\"]\n  6 -> 14 [size =\"8099840\"]\n  6 -> 15 [size =\"8099840\"]\n  7 [size=\"18769920\", alpha=\"0.16\", expect_size=\"7507968\"] \n  7 -> 12 [size =\"7507968\"]\n  8 [size=\"117831680\", alpha=\"0.03\", expect_size=\"47132672\"] \n  8 -> 15 [size =\"47132672\"]\n  9 [size=\"78044160\", alpha=\"0.08\", expect_size=\"31217664\"] \n  9 -> 15 [size =\"31217664\"]\n  9 -> 16 [size =\"31217664\"]\n  10 [size=\"99235840\", alpha=\"0.04\", expect_size=\"39694336\"] \n  10 -> 12 [size =\"39694336\"]\n  10 -> 15 [size =\"39694336\"]\n  11 [size=\"94937600\", alpha=\"0.19\", expect_size=\"37975040\"] \n  11 -> 13 [size =\"37975040\"]\n  12 [size=\"118264320\", alpha=\"0.19\", expect_size=\"47305728\"] \n  12 -> 18 [size =\"47305728\"]\n  12 -> 20 [size =\"47305728\"]\n  13 [size=\"99097600\", alpha=\"0.11\", expect_size=\"39639040\"] \n  13 -> 18 [size =\"39639040\"]\n  14 [size=\"69498880\", alpha=\"0.08\", expect_size=\"27799552\"] \n  14 -> 19 [size =\"27799552\"]\n  14 -> 20 [size =\"27799552\"]\n  15 [size=\"37834240\", alpha=\"0.13\", expect_size=\"15133696\"] \n  15 -> 18 [size =\"15133696\"]\n  15 -> 19 [size =\"15133696\"]\n  15 -> 21 [size =\"15133696\"]\n  16 [size=\"121216000\", alpha=\"0.14\", expect_size=\"48486400\"] \n  16 -> 17 [size =\"48486400\"]\n  16 -> 19 [size =\"48486400\"]\n  16 -> 21 [size =\"48486400\"]\n  17 [size=\"31851520\", alpha=\"0.04\", expect_size=\"12740608\"] \n  17 -> 22 [size =\"12740608\"]\n  17 -> 24 [size =\"12740608\"]\n  17 -> 25 [size =\"12740608\"]\n  18 [size=\"124904960\", alpha=\"0.20\", expect_size=\"49961984\"] \n  18 -> 23 [size =\"49961984\"]\n  18 -> 24 [size =\"49961984\"]\n  19 [size=\"22220800\", alpha=\"0.03\", expect_size=\"8888320\"] \n  19 -> 22 [size =\"8888320\"]\n  19 -> 24 [size =\"8888320\"]\n  19 -> 25 [size =\"8888320\"]\n  20 [size=\"69647360\", alpha=\"0.04\", expect_size=\"27858944\"] \n  20 -> 23 [size =\"27858944\"]\n  20 -> 24 [size =\"27858944\"]\n  21 [size=\"92188160\", alpha=\"0.16\", expect_size=\"36875264\"] \n  21 -> 22 [size =\"36875264\"]\n  21 -> 25 [size =\"36875264\"]\n  22 [size=\"87462400\", alpha=\"0.14\", expect_size=\"34984960\"] \n  22 -> 26 [size =\"34984960\"]\n  22 -> 27 [size =\"34984960\"]\n  22 -> 29 [size =\"34984960\"]\n  22 -> 31 [size =\"34984960\"]\n  23 [size=\"80222720\", alpha=\"0.05\", expect_size=\"32089088\"] \n  23 -> 27 [size =\"32089088\"]\n  23 -> 29 [size =\"32089088\"]\n  23 -> 30 [size =\"32089088\"]\n  23 -> 31 [size =\"32089088\"]\n  23 -> 32 [size =\"32089088\"]\n  24 [size=\"27586560\", alpha=\"0.09\", expect_size=\"11034624\"] \n  24 -> 28 [size =\"11034624\"]\n  24 -> 29 [size =\"11034624\"]\n  24 -> 30 [size =\"11034624\"]\n  24 -> 32 [size =\"11034624\"]\n  25 [size=\"76559360\", alpha=\"0.14\", expect_size=\"30623744\"] \n  25 -> 27 [size =\"30623744\"]\n  25 -> 28 [size =\"30623744\"]\n  25 -> 31 [size =\"30623744\"]\n  26 [size=\"32473600\", alpha=\"0.19\", expect_size=\"12989440\"] \n  26 -> 33 [size =\"12989440\"]\n  27 [size=\"116971520\", alpha=\"0.06\", expect_size=\"46788608\"] \n  27 -> 35 [size =\"46788608\"]\n  27 -> 36 [size =\"46788608\"]\n  28 [size=\"22988800\", alpha=\"0.11\", expect_size=\"9195520\"] \n  28 -> 35 [size =\"9195520\"]\n  28 -> 37 [size =\"9195520\"]\n  28 -> 39 [size =\"9195520\"]\n  29 [size=\"21931520\", alpha=\"0.06\", expect_size=\"8772608\"] \n  29 -> 33 [size =\"8772608\"]\n  29 -> 35 [size =\"8772608\"]\n  29 -> 36 [size =\"8772608\"]\n  29 -> 37 [size =\"8772608\"]\n  29 -> 39 [size =\"8772608\"]\n  30 [size=\"38848000\", alpha=\"0.16\", expect_size=\"15539200\"] \n  30 -> 33 [size =\"15539200\"]\n  30 -> 35 [size =\"15539200\"]\n  30 -> 36 [size =\"15539200\"]\n  30 -> 37 [size =\"15539200\"]\n  30 -> 39 [size =\"15539200\"]\n  31 [size=\"59724800\", alpha=\"0.00\", expect_size=\"23889920\"] \n  31 -> 33 [size =\"23889920\"]\n  31 -> 35 [size =\"23889920\"]\n  31 -> 36 [size =\"23889920\"]\n  31 -> 38 [size =\"23889920\"]\n  31 -> 39 [size =\"23889920\"]\n  32 [size=\"38758400\", alpha=\"0.02\", expect_size=\"15503360\"] \n  32 -> 33 [size =\"15503360\"]\n  32 -> 34 [size =\"15503360\"]\n  32 -> 36 [size =\"15503360\"]\n  32 -> 37 [size =\"15503360\"]\n  32 -> 39 [size =\"15503360\"]\n  33 [size=\"118999040\", alpha=\"0.18\", expect_size=\"47599616\"] \n  34 [size=\"32363520\", alpha=\"0.04\", expect_size=\"12945408\"] \n  34 -> 40 [size =\"12945408\"]\n  35 [size=\"86218240\", alpha=\"0.14\", expect_size=\"34487296\"] \n  36 [size=\"48837120\", alpha=\"0.03\", expect_size=\"19534848\"] \n  36 -> 40 [size =\"19534848\"]\n  37 [size=\"45327360\", alpha=\"0.14\", expect_size=\"18130944\"] \n  37 -> 40 [size =\"18130944\"]\n  38 [size=\"81349120\", alpha=\"0.05\", expect_size=\"32539648\"] \n  38 -> 40 [size =\"32539648\"]\n  39 [size=\"25704960\", alpha=\"0.17\", expect_size=\"10281984\"] \n  40 [size=\"61294080\", alpha=\"0.19\", expect_size=\"24517632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116524373\", alpha=\"0.05\", expect_size=\"34957312\"] \n  1 -> 4 [size =\"34957312\"]\n  1 -> 6 [size =\"34957312\"]\n  2 [size=\"29426347\", alpha=\"0.17\", expect_size=\"8827904\"] \n  2 -> 4 [size =\"8827904\"]\n  2 -> 5 [size =\"8827904\"]\n  2 -> 6 [size =\"8827904\"]\n  3 [size=\"117688320\", alpha=\"0.12\", expect_size=\"35306496\"] \n  3 -> 5 [size =\"35306496\"]\n  4 [size=\"132379307\", alpha=\"0.18\", expect_size=\"39713792\"] \n  4 -> 8 [size =\"39713792\"]\n  5 [size=\"97566720\", alpha=\"0.01\", expect_size=\"29270016\"] \n  5 -> 7 [size =\"29270016\"]\n  6 [size=\"29071360\", alpha=\"0.11\", expect_size=\"8721408\"] \n  6 -> 7 [size =\"8721408\"]\n  7 [size=\"95344640\", alpha=\"0.18\", expect_size=\"28603392\"] \n  7 -> 9 [size =\"28603392\"]\n  7 -> 10 [size =\"28603392\"]\n  8 [size=\"98740907\", alpha=\"0.12\", expect_size=\"29622272\"] \n  8 -> 10 [size =\"29622272\"]\n  9 [size=\"91047253\", alpha=\"0.14\", expect_size=\"27314176\"] \n  9 -> 12 [size =\"27314176\"]\n  10 [size=\"59122347\", alpha=\"0.08\", expect_size=\"17736704\"] \n  10 -> 11 [size =\"17736704\"]\n  10 -> 12 [size =\"17736704\"]\n  10 -> 13 [size =\"17736704\"]\n  11 [size=\"146206720\", alpha=\"0.01\", expect_size=\"43862016\"] \n  12 [size=\"31583573\", alpha=\"0.16\", expect_size=\"9475072\"] \n  12 -> 14 [size =\"9475072\"]\n  12 -> 15 [size =\"9475072\"]\n  13 [size=\"165007360\", alpha=\"0.02\", expect_size=\"49502208\"] \n  13 -> 14 [size =\"49502208\"]\n  14 [size=\"99580587\", alpha=\"0.02\", expect_size=\"29874176\"] \n  14 -> 16 [size =\"29874176\"]\n  15 [size=\"87033173\", alpha=\"0.14\", expect_size=\"26109952\"] \n  15 -> 17 [size =\"26109952\"]\n  16 [size=\"98170880\", alpha=\"0.05\", expect_size=\"29451264\"] \n  16 -> 18 [size =\"29451264\"]\n  16 -> 19 [size =\"29451264\"]\n  16 -> 20 [size =\"29451264\"]\n  17 [size=\"27579733\", alpha=\"0.07\", expect_size=\"8273920\"] \n  17 -> 18 [size =\"8273920\"]\n  17 -> 19 [size =\"8273920\"]\n  18 [size=\"167004160\", alpha=\"0.01\", expect_size=\"50101248\"] \n  18 -> 22 [size =\"50101248\"]\n  18 -> 23 [size =\"50101248\"]\n  19 [size=\"107847680\", alpha=\"0.19\", expect_size=\"32354304\"] \n  19 -> 21 [size =\"32354304\"]\n  19 -> 23 [size =\"32354304\"]\n  20 [size=\"57166507\", alpha=\"0.16\", expect_size=\"17149952\"] \n  20 -> 22 [size =\"17149952\"]\n  21 [size=\"121497600\", alpha=\"0.06\", expect_size=\"36449280\"] \n  21 -> 24 [size =\"36449280\"]\n  21 -> 26 [size =\"36449280\"]\n  22 [size=\"132096000\", alpha=\"0.17\", expect_size=\"39628800\"] \n  23 [size=\"96897707\", alpha=\"0.02\", expect_size=\"29069312\"] \n  23 -> 25 [size =\"29069312\"]\n  23 -> 26 [size =\"29069312\"]\n  24 [size=\"114589013\", alpha=\"0.00\", expect_size=\"34376704\"] \n  24 -> 27 [size =\"34376704\"]\n  25 [size=\"133338453\", alpha=\"0.09\", expect_size=\"40001536\"] \n  25 -> 27 [size =\"40001536\"]\n  25 -> 28 [size =\"40001536\"]\n  26 [size=\"83094187\", alpha=\"0.20\", expect_size=\"24928256\"] \n  27 [size=\"120616960\", alpha=\"0.20\", expect_size=\"36185088\"] \n  27 -> 29 [size =\"36185088\"]\n  27 -> 30 [size =\"36185088\"]\n  28 [size=\"18909867\", alpha=\"0.11\", expect_size=\"5672960\"] \n  28 -> 29 [size =\"5672960\"]\n  28 -> 30 [size =\"5672960\"]\n  29 [size=\"24009387\", alpha=\"0.11\", expect_size=\"7202816\"] \n  29 -> 32 [size =\"7202816\"]\n  29 -> 33 [size =\"7202816\"]\n  30 [size=\"171967147\", alpha=\"0.16\", expect_size=\"51590144\"] \n  30 -> 31 [size =\"51590144\"]\n  30 -> 33 [size =\"51590144\"]\n  31 [size=\"141257387\", alpha=\"0.18\", expect_size=\"42377216\"] \n  31 -> 34 [size =\"42377216\"]\n  32 [size=\"30931627\", alpha=\"0.01\", expect_size=\"9279488\"] \n  32 -> 35 [size =\"9279488\"]\n  33 [size=\"167509333\", alpha=\"0.03\", expect_size=\"50252800\"] \n  33 -> 35 [size =\"50252800\"]\n  33 -> 36 [size =\"50252800\"]\n  34 [size=\"22063787\", alpha=\"0.16\", expect_size=\"6619136\"] \n  34 -> 37 [size =\"6619136\"]\n  34 -> 38 [size =\"6619136\"]\n  35 [size=\"24070827\", alpha=\"0.17\", expect_size=\"7221248\"] \n  35 -> 39 [size =\"7221248\"]\n  36 [size=\"96331093\", alpha=\"0.09\", expect_size=\"28899328\"] \n  36 -> 38 [size =\"28899328\"]\n  37 [size=\"93160107\", alpha=\"0.02\", expect_size=\"27948032\"] \n  38 [size=\"92422827\", alpha=\"0.14\", expect_size=\"27726848\"] \n  38 -> 40 [size =\"27726848\"]\n  39 [size=\"18104320\", alpha=\"0.18\", expect_size=\"5431296\"] \n  39 -> 40 [size =\"5431296\"]\n  40 [size=\"101058560\", alpha=\"0.06\", expect_size=\"30317568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89806848\", alpha=\"0.15\", expect_size=\"44903424\"] \n  1 -> 6 [size =\"44903424\"]\n  1 -> 7 [size =\"44903424\"]\n  1 -> 8 [size =\"44903424\"]\n  1 -> 10 [size =\"44903424\"]\n  2 [size=\"92436480\", alpha=\"0.01\", expect_size=\"46218240\"] \n  2 -> 6 [size =\"46218240\"]\n  2 -> 7 [size =\"46218240\"]\n  2 -> 8 [size =\"46218240\"]\n  2 -> 11 [size =\"46218240\"]\n  3 [size=\"29708288\", alpha=\"0.10\", expect_size=\"14854144\"] \n  3 -> 8 [size =\"14854144\"]\n  3 -> 10 [size =\"14854144\"]\n  3 -> 11 [size =\"14854144\"]\n  3 -> 11 [size =\"14854144\"]\n  4 [size=\"74127360\", alpha=\"0.18\", expect_size=\"37063680\"] \n  4 -> 7 [size =\"37063680\"]\n  4 -> 8 [size =\"37063680\"]\n  4 -> 9 [size =\"37063680\"]\n  4 -> 10 [size =\"37063680\"]\n  5 [size=\"42475520\", alpha=\"0.11\", expect_size=\"21237760\"] \n  5 -> 9 [size =\"21237760\"]\n  6 [size=\"16295936\", alpha=\"0.03\", expect_size=\"8147968\"] \n  6 -> 13 [size =\"8147968\"]\n  6 -> 15 [size =\"8147968\"]\n  7 [size=\"96040960\", alpha=\"0.03\", expect_size=\"48020480\"] \n  7 -> 13 [size =\"48020480\"]\n  8 [size=\"26159104\", alpha=\"0.09\", expect_size=\"13079552\"] \n  8 -> 13 [size =\"13079552\"]\n  8 -> 14 [size =\"13079552\"]\n  8 -> 15 [size =\"13079552\"]\n  9 [size=\"103448576\", alpha=\"0.10\", expect_size=\"51724288\"] \n  9 -> 15 [size =\"51724288\"]\n  10 [size=\"48746496\", alpha=\"0.15\", expect_size=\"24373248\"] \n  10 -> 15 [size =\"24373248\"]\n  10 -> 16 [size =\"24373248\"]\n  11 [size=\"62801920\", alpha=\"0.07\", expect_size=\"31400960\"] \n  11 -> 12 [size =\"31400960\"]\n  11 -> 15 [size =\"31400960\"]\n  12 [size=\"38430720\", alpha=\"0.09\", expect_size=\"19215360\"] \n  12 -> 17 [size =\"19215360\"]\n  12 -> 19 [size =\"19215360\"]\n  12 -> 21 [size =\"19215360\"]\n  13 [size=\"43311104\", alpha=\"0.08\", expect_size=\"21655552\"] \n  13 -> 20 [size =\"21655552\"]\n  14 [size=\"88965120\", alpha=\"0.11\", expect_size=\"44482560\"] \n  14 -> 20 [size =\"44482560\"]\n  14 -> 21 [size =\"44482560\"]\n  15 [size=\"78454784\", alpha=\"0.10\", expect_size=\"39227392\"] \n  15 -> 18 [size =\"39227392\"]\n  15 -> 20 [size =\"39227392\"]\n  15 -> 21 [size =\"39227392\"]\n  16 [size=\"34041856\", alpha=\"0.00\", expect_size=\"17020928\"] \n  16 -> 17 [size =\"17020928\"]\n  16 -> 18 [size =\"17020928\"]\n  16 -> 19 [size =\"17020928\"]\n  16 -> 21 [size =\"17020928\"]\n  17 [size=\"50364416\", alpha=\"0.06\", expect_size=\"25182208\"] \n  17 -> 22 [size =\"25182208\"]\n  17 -> 23 [size =\"25182208\"]\n  18 [size=\"66834432\", alpha=\"0.01\", expect_size=\"33417216\"] \n  18 -> 22 [size =\"33417216\"]\n  18 -> 26 [size =\"33417216\"]\n  19 [size=\"15065088\", alpha=\"0.19\", expect_size=\"7532544\"] \n  19 -> 23 [size =\"7532544\"]\n  19 -> 24 [size =\"7532544\"]\n  20 [size=\"62971904\", alpha=\"0.11\", expect_size=\"31485952\"] \n  21 [size=\"38877184\", alpha=\"0.00\", expect_size=\"19438592\"] \n  21 -> 22 [size =\"19438592\"]\n  21 -> 23 [size =\"19438592\"]\n  21 -> 25 [size =\"19438592\"]\n  22 [size=\"72579072\", alpha=\"0.07\", expect_size=\"36289536\"] \n  22 -> 27 [size =\"36289536\"]\n  22 -> 30 [size =\"36289536\"]\n  22 -> 32 [size =\"36289536\"]\n  23 [size=\"20389888\", alpha=\"0.18\", expect_size=\"10194944\"] \n  23 -> 27 [size =\"10194944\"]\n  23 -> 29 [size =\"10194944\"]\n  23 -> 30 [size =\"10194944\"]\n  23 -> 31 [size =\"10194944\"]\n  23 -> 32 [size =\"10194944\"]\n  24 [size=\"58902528\", alpha=\"0.02\", expect_size=\"29451264\"] \n  24 -> 29 [size =\"29451264\"]\n  24 -> 32 [size =\"29451264\"]\n  25 [size=\"16580608\", alpha=\"0.13\", expect_size=\"8290304\"] \n  25 -> 30 [size =\"8290304\"]\n  25 -> 31 [size =\"8290304\"]\n  26 [size=\"62932992\", alpha=\"0.05\", expect_size=\"31466496\"] \n  26 -> 28 [size =\"31466496\"]\n  26 -> 30 [size =\"31466496\"]\n  27 [size=\"64235520\", alpha=\"0.15\", expect_size=\"32117760\"] \n  27 -> 35 [size =\"32117760\"]\n  28 [size=\"92579840\", alpha=\"0.09\", expect_size=\"46289920\"] \n  28 -> 34 [size =\"46289920\"]\n  28 -> 36 [size =\"46289920\"]\n  29 [size=\"99532800\", alpha=\"0.02\", expect_size=\"49766400\"] \n  29 -> 35 [size =\"49766400\"]\n  29 -> 36 [size =\"49766400\"]\n  29 -> 37 [size =\"49766400\"]\n  30 [size=\"92631040\", alpha=\"0.04\", expect_size=\"46315520\"] \n  30 -> 35 [size =\"46315520\"]\n  30 -> 36 [size =\"46315520\"]\n  30 -> 37 [size =\"46315520\"]\n  31 [size=\"50180096\", alpha=\"0.16\", expect_size=\"25090048\"] \n  31 -> 35 [size =\"25090048\"]\n  31 -> 36 [size =\"25090048\"]\n  32 [size=\"51499008\", alpha=\"0.15\", expect_size=\"25749504\"] \n  32 -> 33 [size =\"25749504\"]\n  33 [size=\"84170752\", alpha=\"0.00\", expect_size=\"42085376\"] \n  33 -> 38 [size =\"42085376\"]\n  34 [size=\"73043968\", alpha=\"0.03\", expect_size=\"36521984\"] \n  35 [size=\"81764352\", alpha=\"0.19\", expect_size=\"40882176\"] \n  35 -> 38 [size =\"40882176\"]\n  35 -> 39 [size =\"40882176\"]\n  35 -> 40 [size =\"40882176\"]\n  36 [size=\"47949824\", alpha=\"0.00\", expect_size=\"23974912\"] \n  36 -> 40 [size =\"23974912\"]\n  37 [size=\"71784448\", alpha=\"0.10\", expect_size=\"35892224\"] \n  37 -> 38 [size =\"35892224\"]\n  37 -> 40 [size =\"35892224\"]\n  38 [size=\"50079744\", alpha=\"0.12\", expect_size=\"25039872\"] \n  39 [size=\"92880896\", alpha=\"0.15\", expect_size=\"46440448\"] \n  40 [size=\"104411136\", alpha=\"0.09\", expect_size=\"52205568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101283840\", alpha=\"0.13\", expect_size=\"30385152\"] \n  1 -> 2 [size =\"30385152\"]\n  2 [size=\"148292267\", alpha=\"0.07\", expect_size=\"44487680\"] \n  2 -> 3 [size =\"44487680\"]\n  3 [size=\"45407573\", alpha=\"0.16\", expect_size=\"13622272\"] \n  3 -> 4 [size =\"13622272\"]\n  4 [size=\"81582080\", alpha=\"0.08\", expect_size=\"24474624\"] \n  4 -> 5 [size =\"24474624\"]\n  5 [size=\"138253653\", alpha=\"0.11\", expect_size=\"41476096\"] \n  5 -> 6 [size =\"41476096\"]\n  6 [size=\"172957013\", alpha=\"0.12\", expect_size=\"51887104\"] \n  6 -> 7 [size =\"51887104\"]\n  7 [size=\"154637653\", alpha=\"0.04\", expect_size=\"46391296\"] \n  7 -> 8 [size =\"46391296\"]\n  8 [size=\"96945493\", alpha=\"0.08\", expect_size=\"29083648\"] \n  8 -> 9 [size =\"29083648\"]\n  9 [size=\"37556907\", alpha=\"0.16\", expect_size=\"11267072\"] \n  9 -> 10 [size =\"11267072\"]\n  10 [size=\"46448640\", alpha=\"0.14\", expect_size=\"13934592\"] \n  10 -> 11 [size =\"13934592\"]\n  11 [size=\"96023893\", alpha=\"0.08\", expect_size=\"28807168\"] \n  11 -> 12 [size =\"28807168\"]\n  12 [size=\"44308480\", alpha=\"0.17\", expect_size=\"13292544\"] \n  12 -> 13 [size =\"13292544\"]\n  13 [size=\"99655680\", alpha=\"0.16\", expect_size=\"29896704\"] \n  13 -> 14 [size =\"29896704\"]\n  14 [size=\"71584427\", alpha=\"0.02\", expect_size=\"21475328\"] \n  14 -> 15 [size =\"21475328\"]\n  15 [size=\"131437227\", alpha=\"0.12\", expect_size=\"39431168\"] \n  15 -> 16 [size =\"39431168\"]\n  16 [size=\"62057813\", alpha=\"0.04\", expect_size=\"18617344\"] \n  16 -> 17 [size =\"18617344\"]\n  17 [size=\"156269227\", alpha=\"0.15\", expect_size=\"46880768\"] \n  17 -> 18 [size =\"46880768\"]\n  18 [size=\"32276480\", alpha=\"0.12\", expect_size=\"9682944\"] \n  18 -> 19 [size =\"9682944\"]\n  19 [size=\"92651520\", alpha=\"0.07\", expect_size=\"27795456\"] \n  19 -> 20 [size =\"27795456\"]\n  20 [size=\"58064213\", alpha=\"0.04\", expect_size=\"17419264\"] \n  20 -> 21 [size =\"17419264\"]\n  21 [size=\"170134187\", alpha=\"0.12\", expect_size=\"51040256\"] \n  21 -> 22 [size =\"51040256\"]\n  22 [size=\"78571520\", alpha=\"0.17\", expect_size=\"23571456\"] \n  22 -> 23 [size =\"23571456\"]\n  23 [size=\"52439040\", alpha=\"0.06\", expect_size=\"15731712\"] \n  23 -> 24 [size =\"15731712\"]\n  24 [size=\"18329600\", alpha=\"0.02\", expect_size=\"5498880\"] \n  24 -> 25 [size =\"5498880\"]\n  25 [size=\"36031147\", alpha=\"0.14\", expect_size=\"10809344\"] \n  25 -> 26 [size =\"10809344\"]\n  26 [size=\"128409600\", alpha=\"0.06\", expect_size=\"38522880\"] \n  26 -> 27 [size =\"38522880\"]\n  27 [size=\"157108907\", alpha=\"0.15\", expect_size=\"47132672\"] \n  27 -> 28 [size =\"47132672\"]\n  28 [size=\"116459520\", alpha=\"0.14\", expect_size=\"34937856\"] \n  28 -> 29 [size =\"34937856\"]\n  29 [size=\"56562347\", alpha=\"0.16\", expect_size=\"16968704\"] \n  29 -> 30 [size =\"16968704\"]\n  30 [size=\"109264213\", alpha=\"0.01\", expect_size=\"32779264\"] \n  30 -> 31 [size =\"32779264\"]\n  31 [size=\"142769493\", alpha=\"0.17\", expect_size=\"42830848\"] \n  31 -> 32 [size =\"42830848\"]\n  32 [size=\"83599360\", alpha=\"0.16\", expect_size=\"25079808\"] \n  32 -> 33 [size =\"25079808\"]\n  33 [size=\"62573227\", alpha=\"0.05\", expect_size=\"18771968\"] \n  33 -> 34 [size =\"18771968\"]\n  34 [size=\"107618987\", alpha=\"0.01\", expect_size=\"32285696\"] \n  34 -> 35 [size =\"32285696\"]\n  35 [size=\"125559467\", alpha=\"0.12\", expect_size=\"37667840\"] \n  35 -> 36 [size =\"37667840\"]\n  36 [size=\"79892480\", alpha=\"0.08\", expect_size=\"23967744\"] \n  36 -> 37 [size =\"23967744\"]\n  37 [size=\"126095360\", alpha=\"0.02\", expect_size=\"37828608\"] \n  37 -> 38 [size =\"37828608\"]\n  38 [size=\"86760107\", alpha=\"0.18\", expect_size=\"26028032\"] \n  38 -> 39 [size =\"26028032\"]\n  39 [size=\"41359360\", alpha=\"0.04\", expect_size=\"12407808\"] \n  39 -> 40 [size =\"12407808\"]\n  40 [size=\"167256747\", alpha=\"0.14\", expect_size=\"50177024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66095104\", alpha=\"0.12\", expect_size=\"33047552\"] \n  1 -> 31 [size =\"33047552\"]\n  1 -> 33 [size =\"33047552\"]\n  1 -> 37 [size =\"33047552\"]\n  1 -> 39 [size =\"33047552\"]\n  2 [size=\"92538880\", alpha=\"0.12\", expect_size=\"46269440\"] \n  2 -> 26 [size =\"46269440\"]\n  2 -> 31 [size =\"46269440\"]\n  2 -> 32 [size =\"46269440\"]\n  2 -> 33 [size =\"46269440\"]\n  2 -> 35 [size =\"46269440\"]\n  2 -> 39 [size =\"46269440\"]\n  3 [size=\"91854848\", alpha=\"0.16\", expect_size=\"45927424\"] \n  3 -> 29 [size =\"45927424\"]\n  3 -> 30 [size =\"45927424\"]\n  3 -> 31 [size =\"45927424\"]\n  3 -> 33 [size =\"45927424\"]\n  4 [size=\"26611712\", alpha=\"0.06\", expect_size=\"13305856\"] \n  4 -> 25 [size =\"13305856\"]\n  4 -> 28 [size =\"13305856\"]\n  4 -> 29 [size =\"13305856\"]\n  4 -> 33 [size =\"13305856\"]\n  4 -> 37 [size =\"13305856\"]\n  5 [size=\"72132608\", alpha=\"0.08\", expect_size=\"36066304\"] \n  5 -> 25 [size =\"36066304\"]\n  5 -> 26 [size =\"36066304\"]\n  5 -> 28 [size =\"36066304\"]\n  5 -> 29 [size =\"36066304\"]\n  5 -> 32 [size =\"36066304\"]\n  5 -> 33 [size =\"36066304\"]\n  5 -> 34 [size =\"36066304\"]\n  5 -> 35 [size =\"36066304\"]\n  5 -> 37 [size =\"36066304\"]\n  6 [size=\"103483392\", alpha=\"0.14\", expect_size=\"51741696\"] \n  6 -> 25 [size =\"51741696\"]\n  6 -> 26 [size =\"51741696\"]\n  6 -> 29 [size =\"51741696\"]\n  6 -> 29 [size =\"51741696\"]\n  6 -> 30 [size =\"51741696\"]\n  6 -> 33 [size =\"51741696\"]\n  6 -> 38 [size =\"51741696\"]\n  6 -> 40 [size =\"51741696\"]\n  7 [size=\"75446272\", alpha=\"0.01\", expect_size=\"37723136\"] \n  7 -> 25 [size =\"37723136\"]\n  7 -> 26 [size =\"37723136\"]\n  7 -> 29 [size =\"37723136\"]\n  7 -> 31 [size =\"37723136\"]\n  7 -> 33 [size =\"37723136\"]\n  7 -> 33 [size =\"37723136\"]\n  7 -> 36 [size =\"37723136\"]\n  7 -> 38 [size =\"37723136\"]\n  8 [size=\"95623168\", alpha=\"0.01\", expect_size=\"47811584\"] \n  8 -> 29 [size =\"47811584\"]\n  8 -> 31 [size =\"47811584\"]\n  8 -> 33 [size =\"47811584\"]\n  8 -> 34 [size =\"47811584\"]\n  8 -> 37 [size =\"47811584\"]\n  9 [size=\"98940928\", alpha=\"0.12\", expect_size=\"49470464\"] \n  9 -> 26 [size =\"49470464\"]\n  9 -> 32 [size =\"49470464\"]\n  9 -> 33 [size =\"49470464\"]\n  9 -> 34 [size =\"49470464\"]\n  9 -> 39 [size =\"49470464\"]\n  10 [size=\"30633984\", alpha=\"0.14\", expect_size=\"15316992\"] \n  10 -> 25 [size =\"15316992\"]\n  10 -> 26 [size =\"15316992\"]\n  10 -> 28 [size =\"15316992\"]\n  10 -> 29 [size =\"15316992\"]\n  10 -> 34 [size =\"15316992\"]\n  10 -> 38 [size =\"15316992\"]\n  11 [size=\"19310592\", alpha=\"0.07\", expect_size=\"9655296\"] \n  11 -> 25 [size =\"9655296\"]\n  11 -> 27 [size =\"9655296\"]\n  11 -> 28 [size =\"9655296\"]\n  11 -> 29 [size =\"9655296\"]\n  11 -> 33 [size =\"9655296\"]\n  11 -> 37 [size =\"9655296\"]\n  11 -> 38 [size =\"9655296\"]\n  11 -> 40 [size =\"9655296\"]\n  12 [size=\"74549248\", alpha=\"0.08\", expect_size=\"37274624\"] \n  12 -> 26 [size =\"37274624\"]\n  12 -> 29 [size =\"37274624\"]\n  12 -> 32 [size =\"37274624\"]\n  12 -> 33 [size =\"37274624\"]\n  12 -> 38 [size =\"37274624\"]\n  12 -> 40 [size =\"37274624\"]\n  13 [size=\"38502400\", alpha=\"0.18\", expect_size=\"19251200\"] \n  13 -> 28 [size =\"19251200\"]\n  13 -> 31 [size =\"19251200\"]\n  13 -> 34 [size =\"19251200\"]\n  14 [size=\"17928192\", alpha=\"0.20\", expect_size=\"8964096\"] \n  14 -> 26 [size =\"8964096\"]\n  14 -> 31 [size =\"8964096\"]\n  14 -> 34 [size =\"8964096\"]\n  14 -> 39 [size =\"8964096\"]\n  15 [size=\"46458880\", alpha=\"0.15\", expect_size=\"23229440\"] \n  15 -> 25 [size =\"23229440\"]\n  15 -> 26 [size =\"23229440\"]\n  15 -> 31 [size =\"23229440\"]\n  15 -> 32 [size =\"23229440\"]\n  15 -> 36 [size =\"23229440\"]\n  15 -> 37 [size =\"23229440\"]\n  15 -> 40 [size =\"23229440\"]\n  16 [size=\"82530304\", alpha=\"0.17\", expect_size=\"41265152\"] \n  16 -> 25 [size =\"41265152\"]\n  16 -> 26 [size =\"41265152\"]\n  16 -> 29 [size =\"41265152\"]\n  16 -> 31 [size =\"41265152\"]\n  16 -> 34 [size =\"41265152\"]\n  17 [size=\"52965376\", alpha=\"0.16\", expect_size=\"26482688\"] \n  17 -> 25 [size =\"26482688\"]\n  17 -> 29 [size =\"26482688\"]\n  17 -> 31 [size =\"26482688\"]\n  17 -> 32 [size =\"26482688\"]\n  17 -> 34 [size =\"26482688\"]\n  17 -> 36 [size =\"26482688\"]\n  17 -> 37 [size =\"26482688\"]\n  17 -> 39 [size =\"26482688\"]\n  18 [size=\"55853056\", alpha=\"0.19\", expect_size=\"27926528\"] \n  18 -> 25 [size =\"27926528\"]\n  18 -> 29 [size =\"27926528\"]\n  18 -> 31 [size =\"27926528\"]\n  18 -> 32 [size =\"27926528\"]\n  18 -> 33 [size =\"27926528\"]\n  18 -> 35 [size =\"27926528\"]\n  18 -> 37 [size =\"27926528\"]\n  19 [size=\"61003776\", alpha=\"0.14\", expect_size=\"30501888\"] \n  19 -> 25 [size =\"30501888\"]\n  19 -> 28 [size =\"30501888\"]\n  19 -> 31 [size =\"30501888\"]\n  20 [size=\"25126912\", alpha=\"0.11\", expect_size=\"12563456\"] \n  20 -> 26 [size =\"12563456\"]\n  20 -> 31 [size =\"12563456\"]\n  20 -> 31 [size =\"12563456\"]\n  20 -> 32 [size =\"12563456\"]\n  20 -> 33 [size =\"12563456\"]\n  20 -> 34 [size =\"12563456\"]\n  20 -> 35 [size =\"12563456\"]\n  20 -> 38 [size =\"12563456\"]\n  21 [size=\"89831424\", alpha=\"0.20\", expect_size=\"44915712\"] \n  21 -> 25 [size =\"44915712\"]\n  21 -> 29 [size =\"44915712\"]\n  21 -> 31 [size =\"44915712\"]\n  21 -> 32 [size =\"44915712\"]\n  21 -> 34 [size =\"44915712\"]\n  21 -> 37 [size =\"44915712\"]\n  21 -> 39 [size =\"44915712\"]\n  22 [size=\"27439104\", alpha=\"0.05\", expect_size=\"13719552\"] \n  22 -> 25 [size =\"13719552\"]\n  22 -> 28 [size =\"13719552\"]\n  22 -> 34 [size =\"13719552\"]\n  22 -> 37 [size =\"13719552\"]\n  23 [size=\"63004672\", alpha=\"0.09\", expect_size=\"31502336\"] \n  23 -> 34 [size =\"31502336\"]\n  23 -> 37 [size =\"31502336\"]\n  23 -> 38 [size =\"31502336\"]\n  24 [size=\"54298624\", alpha=\"0.15\", expect_size=\"27149312\"] \n  24 -> 28 [size =\"27149312\"]\n  24 -> 31 [size =\"27149312\"]\n  24 -> 33 [size =\"27149312\"]\n  24 -> 34 [size =\"27149312\"]\n  24 -> 37 [size =\"27149312\"]\n  24 -> 38 [size =\"27149312\"]\n  24 -> 39 [size =\"27149312\"]\n  25 [size=\"54140928\", alpha=\"0.15\", expect_size=\"27070464\"] \n  26 [size=\"30611456\", alpha=\"0.14\", expect_size=\"15305728\"] \n  27 [size=\"16658432\", alpha=\"0.07\", expect_size=\"8329216\"] \n  28 [size=\"92467200\", alpha=\"0.18\", expect_size=\"46233600\"] \n  29 [size=\"88926208\", alpha=\"0.08\", expect_size=\"44463104\"] \n  30 [size=\"61810688\", alpha=\"0.02\", expect_size=\"30905344\"] \n  31 [size=\"19269632\", alpha=\"0.18\", expect_size=\"9634816\"] \n  32 [size=\"16912384\", alpha=\"0.08\", expect_size=\"8456192\"] \n  33 [size=\"42420224\", alpha=\"0.04\", expect_size=\"21210112\"] \n  34 [size=\"82794496\", alpha=\"0.01\", expect_size=\"41397248\"] \n  35 [size=\"59785216\", alpha=\"0.06\", expect_size=\"29892608\"] \n  36 [size=\"35043328\", alpha=\"0.06\", expect_size=\"17521664\"] \n  37 [size=\"101566464\", alpha=\"0.15\", expect_size=\"50783232\"] \n  38 [size=\"41199616\", alpha=\"0.13\", expect_size=\"20599808\"] \n  39 [size=\"33454080\", alpha=\"0.03\", expect_size=\"16727040\"] \n  40 [size=\"72411136\", alpha=\"0.15\", expect_size=\"36205568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129617920\", alpha=\"0.10\", expect_size=\"38885376\"] \n  2 [size=\"81739093\", alpha=\"0.03\", expect_size=\"24521728\"] \n  2 -> 7 [size =\"24521728\"]\n  3 [size=\"47373653\", alpha=\"0.01\", expect_size=\"14212096\"] \n  3 -> 7 [size =\"14212096\"]\n  4 [size=\"19073707\", alpha=\"0.17\", expect_size=\"5722112\"] \n  4 -> 5 [size =\"5722112\"]\n  4 -> 6 [size =\"5722112\"]\n  4 -> 8 [size =\"5722112\"]\n  5 [size=\"109707947\", alpha=\"0.03\", expect_size=\"32912384\"] \n  5 -> 10 [size =\"32912384\"]\n  5 -> 11 [size =\"32912384\"]\n  5 -> 12 [size =\"32912384\"]\n  6 [size=\"119784107\", alpha=\"0.08\", expect_size=\"35935232\"] \n  6 -> 9 [size =\"35935232\"]\n  6 -> 11 [size =\"35935232\"]\n  6 -> 12 [size =\"35935232\"]\n  7 [size=\"45728427\", alpha=\"0.08\", expect_size=\"13718528\"] \n  7 -> 9 [size =\"13718528\"]\n  7 -> 10 [size =\"13718528\"]\n  7 -> 13 [size =\"13718528\"]\n  7 -> 14 [size =\"13718528\"]\n  8 [size=\"114135040\", alpha=\"0.12\", expect_size=\"34240512\"] \n  8 -> 15 [size =\"34240512\"]\n  9 [size=\"67481600\", alpha=\"0.01\", expect_size=\"20244480\"] \n  9 -> 16 [size =\"20244480\"]\n  9 -> 18 [size =\"20244480\"]\n  9 -> 20 [size =\"20244480\"]\n  9 -> 22 [size =\"20244480\"]\n  10 [size=\"118067200\", alpha=\"0.06\", expect_size=\"35420160\"] \n  11 [size=\"115810987\", alpha=\"0.02\", expect_size=\"34743296\"] \n  12 [size=\"38652587\", alpha=\"0.10\", expect_size=\"11595776\"] \n  12 -> 19 [size =\"11595776\"]\n  12 -> 22 [size =\"11595776\"]\n  13 [size=\"62866773\", alpha=\"0.05\", expect_size=\"18860032\"] \n  13 -> 18 [size =\"18860032\"]\n  13 -> 20 [size =\"18860032\"]\n  14 [size=\"68324693\", alpha=\"0.16\", expect_size=\"20497408\"] \n  14 -> 21 [size =\"20497408\"]\n  14 -> 22 [size =\"20497408\"]\n  15 [size=\"45933227\", alpha=\"0.15\", expect_size=\"13779968\"] \n  15 -> 17 [size =\"13779968\"]\n  15 -> 20 [size =\"13779968\"]\n  15 -> 21 [size =\"13779968\"]\n  15 -> 22 [size =\"13779968\"]\n  16 [size=\"73216000\", alpha=\"0.16\", expect_size=\"21964800\"] \n  16 -> 24 [size =\"21964800\"]\n  17 [size=\"134754987\", alpha=\"0.03\", expect_size=\"40426496\"] \n  17 -> 26 [size =\"40426496\"]\n  18 [size=\"37539840\", alpha=\"0.16\", expect_size=\"11261952\"] \n  18 -> 25 [size =\"11261952\"]\n  19 [size=\"131222187\", alpha=\"0.04\", expect_size=\"39366656\"] \n  19 -> 23 [size =\"39366656\"]\n  19 -> 25 [size =\"39366656\"]\n  20 [size=\"140332373\", alpha=\"0.19\", expect_size=\"42099712\"] \n  21 [size=\"26555733\", alpha=\"0.07\", expect_size=\"7966720\"] \n  21 -> 25 [size =\"7966720\"]\n  22 [size=\"40744960\", alpha=\"0.03\", expect_size=\"12223488\"] \n  22 -> 27 [size =\"12223488\"]\n  23 [size=\"121146027\", alpha=\"0.04\", expect_size=\"36343808\"] \n  23 -> 29 [size =\"36343808\"]\n  23 -> 30 [size =\"36343808\"]\n  23 -> 31 [size =\"36343808\"]\n  24 [size=\"164345173\", alpha=\"0.04\", expect_size=\"49303552\"] \n  25 [size=\"133928960\", alpha=\"0.17\", expect_size=\"40178688\"] \n  25 -> 31 [size =\"40178688\"]\n  26 [size=\"97546240\", alpha=\"0.02\", expect_size=\"29263872\"] \n  26 -> 28 [size =\"29263872\"]\n  26 -> 30 [size =\"29263872\"]\n  27 [size=\"68106240\", alpha=\"0.11\", expect_size=\"20431872\"] \n  27 -> 30 [size =\"20431872\"]\n  28 [size=\"92460373\", alpha=\"0.12\", expect_size=\"27738112\"] \n  28 -> 33 [size =\"27738112\"]\n  29 [size=\"58910720\", alpha=\"0.19\", expect_size=\"17673216\"] \n  29 -> 34 [size =\"17673216\"]\n  30 [size=\"93644800\", alpha=\"0.20\", expect_size=\"28093440\"] \n  30 -> 33 [size =\"28093440\"]\n  31 [size=\"81950720\", alpha=\"0.12\", expect_size=\"24585216\"] \n  31 -> 32 [size =\"24585216\"]\n  31 -> 35 [size =\"24585216\"]\n  32 [size=\"135970133\", alpha=\"0.08\", expect_size=\"40791040\"] \n  32 -> 36 [size =\"40791040\"]\n  32 -> 37 [size =\"40791040\"]\n  33 [size=\"162682880\", alpha=\"0.09\", expect_size=\"48804864\"] \n  34 [size=\"34696533\", alpha=\"0.17\", expect_size=\"10408960\"] \n  34 -> 39 [size =\"10408960\"]\n  35 [size=\"68188160\", alpha=\"0.08\", expect_size=\"20456448\"] \n  35 -> 38 [size =\"20456448\"]\n  35 -> 39 [size =\"20456448\"]\n  36 [size=\"40813227\", alpha=\"0.07\", expect_size=\"12243968\"] \n  37 [size=\"54889813\", alpha=\"0.00\", expect_size=\"16466944\"] \n  37 -> 40 [size =\"16466944\"]\n  38 [size=\"138663253\", alpha=\"0.16\", expect_size=\"41598976\"] \n  39 [size=\"74229760\", alpha=\"0.06\", expect_size=\"22268928\"] \n  39 -> 40 [size =\"22268928\"]\n  40 [size=\"68877653\", alpha=\"0.12\", expect_size=\"20663296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77130240\", alpha=\"0.17\", expect_size=\"30852096\"] \n  1 -> 4 [size =\"30852096\"]\n  2 [size=\"128522240\", alpha=\"0.07\", expect_size=\"51408896\"] \n  3 [size=\"117824000\", alpha=\"0.10\", expect_size=\"47129600\"] \n  3 -> 4 [size =\"47129600\"]\n  4 [size=\"104893440\", alpha=\"0.20\", expect_size=\"41957376\"] \n  4 -> 5 [size =\"41957376\"]\n  4 -> 6 [size =\"41957376\"]\n  4 -> 7 [size =\"41957376\"]\n  5 [size=\"68720640\", alpha=\"0.10\", expect_size=\"27488256\"] \n  5 -> 11 [size =\"27488256\"]\n  6 [size=\"72663040\", alpha=\"0.09\", expect_size=\"29065216\"] \n  6 -> 9 [size =\"29065216\"]\n  6 -> 10 [size =\"29065216\"]\n  7 [size=\"51770880\", alpha=\"0.18\", expect_size=\"20708352\"] \n  7 -> 8 [size =\"20708352\"]\n  7 -> 10 [size =\"20708352\"]\n  7 -> 11 [size =\"20708352\"]\n  8 [size=\"87152640\", alpha=\"0.16\", expect_size=\"34861056\"] \n  8 -> 12 [size =\"34861056\"]\n  8 -> 14 [size =\"34861056\"]\n  9 [size=\"66168320\", alpha=\"0.10\", expect_size=\"26467328\"] \n  9 -> 12 [size =\"26467328\"]\n  9 -> 14 [size =\"26467328\"]\n  10 [size=\"126589440\", alpha=\"0.11\", expect_size=\"50635776\"] \n  10 -> 14 [size =\"50635776\"]\n  11 [size=\"80826880\", alpha=\"0.19\", expect_size=\"32330752\"] \n  11 -> 12 [size =\"32330752\"]\n  11 -> 13 [size =\"32330752\"]\n  12 [size=\"61742080\", alpha=\"0.12\", expect_size=\"24696832\"] \n  12 -> 15 [size =\"24696832\"]\n  12 -> 16 [size =\"24696832\"]\n  12 -> 17 [size =\"24696832\"]\n  13 [size=\"102658560\", alpha=\"0.04\", expect_size=\"41063424\"] \n  13 -> 17 [size =\"41063424\"]\n  14 [size=\"41044480\", alpha=\"0.15\", expect_size=\"16417792\"] \n  14 -> 16 [size =\"16417792\"]\n  14 -> 17 [size =\"16417792\"]\n  15 [size=\"40670720\", alpha=\"0.01\", expect_size=\"16268288\"] \n  15 -> 18 [size =\"16268288\"]\n  15 -> 19 [size =\"16268288\"]\n  16 [size=\"99312640\", alpha=\"0.03\", expect_size=\"39725056\"] \n  16 -> 18 [size =\"39725056\"]\n  17 [size=\"32281600\", alpha=\"0.20\", expect_size=\"12912640\"] \n  17 -> 18 [size =\"12912640\"]\n  17 -> 19 [size =\"12912640\"]\n  18 [size=\"22241280\", alpha=\"0.19\", expect_size=\"8896512\"] \n  18 -> 20 [size =\"8896512\"]\n  18 -> 21 [size =\"8896512\"]\n  19 [size=\"114905600\", alpha=\"0.04\", expect_size=\"45962240\"] \n  19 -> 20 [size =\"45962240\"]\n  19 -> 21 [size =\"45962240\"]\n  20 [size=\"53854720\", alpha=\"0.11\", expect_size=\"21541888\"] \n  20 -> 22 [size =\"21541888\"]\n  21 [size=\"121617920\", alpha=\"0.10\", expect_size=\"48647168\"] \n  21 -> 22 [size =\"48647168\"]\n  22 [size=\"115714560\", alpha=\"0.07\", expect_size=\"46285824\"] \n  22 -> 23 [size =\"46285824\"]\n  22 -> 24 [size =\"46285824\"]\n  22 -> 25 [size =\"46285824\"]\n  22 -> 26 [size =\"46285824\"]\n  23 [size=\"70807040\", alpha=\"0.03\", expect_size=\"28322816\"] \n  23 -> 27 [size =\"28322816\"]\n  24 [size=\"94182400\", alpha=\"0.14\", expect_size=\"37672960\"] \n  24 -> 27 [size =\"37672960\"]\n  24 -> 29 [size =\"37672960\"]\n  25 [size=\"62517760\", alpha=\"0.15\", expect_size=\"25007104\"] \n  25 -> 27 [size =\"25007104\"]\n  25 -> 28 [size =\"25007104\"]\n  25 -> 29 [size =\"25007104\"]\n  26 [size=\"66447360\", alpha=\"0.06\", expect_size=\"26578944\"] \n  26 -> 29 [size =\"26578944\"]\n  27 [size=\"82324480\", alpha=\"0.03\", expect_size=\"32929792\"] \n  27 -> 30 [size =\"32929792\"]\n  28 [size=\"80952320\", alpha=\"0.13\", expect_size=\"32380928\"] \n  29 [size=\"72232960\", alpha=\"0.12\", expect_size=\"28893184\"] \n  29 -> 31 [size =\"28893184\"]\n  30 [size=\"93719040\", alpha=\"0.10\", expect_size=\"37487616\"] \n  30 -> 32 [size =\"37487616\"]\n  30 -> 33 [size =\"37487616\"]\n  30 -> 34 [size =\"37487616\"]\n  31 [size=\"41556480\", alpha=\"0.20\", expect_size=\"16622592\"] \n  31 -> 33 [size =\"16622592\"]\n  31 -> 34 [size =\"16622592\"]\n  32 [size=\"97738240\", alpha=\"0.18\", expect_size=\"39095296\"] \n  32 -> 37 [size =\"39095296\"]\n  33 [size=\"23779840\", alpha=\"0.11\", expect_size=\"9511936\"] \n  33 -> 35 [size =\"9511936\"]\n  33 -> 37 [size =\"9511936\"]\n  34 [size=\"42368000\", alpha=\"0.08\", expect_size=\"16947200\"] \n  34 -> 36 [size =\"16947200\"]\n  35 [size=\"127326720\", alpha=\"0.11\", expect_size=\"50930688\"] \n  36 [size=\"98339840\", alpha=\"0.08\", expect_size=\"39335936\"] \n  36 -> 38 [size =\"39335936\"]\n  37 [size=\"14965760\", alpha=\"0.08\", expect_size=\"5986304\"] \n  37 -> 38 [size =\"5986304\"]\n  38 [size=\"33832960\", alpha=\"0.10\", expect_size=\"13533184\"] \n  38 -> 39 [size =\"13533184\"]\n  39 [size=\"111024640\", alpha=\"0.09\", expect_size=\"44409856\"] \n  39 -> 40 [size =\"44409856\"]\n  40 [size=\"63674880\", alpha=\"0.15\", expect_size=\"25469952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93194240\", alpha=\"0.05\", expect_size=\"27958272\"] \n  1 -> 3 [size =\"27958272\"]\n  1 -> 4 [size =\"27958272\"]\n  1 -> 5 [size =\"27958272\"]\n  2 [size=\"44151467\", alpha=\"0.06\", expect_size=\"13245440\"] \n  2 -> 3 [size =\"13245440\"]\n  2 -> 4 [size =\"13245440\"]\n  2 -> 5 [size =\"13245440\"]\n  3 [size=\"58702507\", alpha=\"0.01\", expect_size=\"17610752\"] \n  3 -> 6 [size =\"17610752\"]\n  3 -> 7 [size =\"17610752\"]\n  3 -> 8 [size =\"17610752\"]\n  4 [size=\"166638933\", alpha=\"0.19\", expect_size=\"49991680\"] \n  4 -> 7 [size =\"49991680\"]\n  4 -> 7 [size =\"49991680\"]\n  4 -> 8 [size =\"49991680\"]\n  5 [size=\"48452267\", alpha=\"0.11\", expect_size=\"14535680\"] \n  5 -> 6 [size =\"14535680\"]\n  5 -> 8 [size =\"14535680\"]\n  6 [size=\"83159040\", alpha=\"0.09\", expect_size=\"24947712\"] \n  6 -> 11 [size =\"24947712\"]\n  7 [size=\"174284800\", alpha=\"0.13\", expect_size=\"52285440\"] \n  7 -> 9 [size =\"52285440\"]\n  7 -> 10 [size =\"52285440\"]\n  7 -> 11 [size =\"52285440\"]\n  8 [size=\"128781653\", alpha=\"0.17\", expect_size=\"38634496\"] \n  9 [size=\"57483947\", alpha=\"0.10\", expect_size=\"17245184\"] \n  9 -> 14 [size =\"17245184\"]\n  10 [size=\"58695680\", alpha=\"0.02\", expect_size=\"17608704\"] \n  10 -> 12 [size =\"17608704\"]\n  10 -> 13 [size =\"17608704\"]\n  10 -> 14 [size =\"17608704\"]\n  11 [size=\"140660053\", alpha=\"0.14\", expect_size=\"42198016\"] \n  11 -> 12 [size =\"42198016\"]\n  11 -> 13 [size =\"42198016\"]\n  12 [size=\"26463573\", alpha=\"0.17\", expect_size=\"7939072\"] \n  12 -> 16 [size =\"7939072\"]\n  12 -> 16 [size =\"7939072\"]\n  13 [size=\"72427520\", alpha=\"0.10\", expect_size=\"21728256\"] \n  14 [size=\"81111040\", alpha=\"0.04\", expect_size=\"24333312\"] \n  14 -> 15 [size =\"24333312\"]\n  14 -> 16 [size =\"24333312\"]\n  15 [size=\"72430933\", alpha=\"0.06\", expect_size=\"21729280\"] \n  15 -> 17 [size =\"21729280\"]\n  15 -> 18 [size =\"21729280\"]\n  15 -> 19 [size =\"21729280\"]\n  16 [size=\"160177493\", alpha=\"0.06\", expect_size=\"48053248\"] \n  16 -> 17 [size =\"48053248\"]\n  16 -> 18 [size =\"48053248\"]\n  16 -> 19 [size =\"48053248\"]\n  17 [size=\"76332373\", alpha=\"0.19\", expect_size=\"22899712\"] \n  17 -> 20 [size =\"22899712\"]\n  17 -> 21 [size =\"22899712\"]\n  18 [size=\"23777280\", alpha=\"0.00\", expect_size=\"7133184\"] \n  18 -> 20 [size =\"7133184\"]\n  18 -> 21 [size =\"7133184\"]\n  19 [size=\"160034133\", alpha=\"0.08\", expect_size=\"48010240\"] \n  19 -> 20 [size =\"48010240\"]\n  19 -> 21 [size =\"48010240\"]\n  20 [size=\"83701760\", alpha=\"0.09\", expect_size=\"25110528\"] \n  20 -> 22 [size =\"25110528\"]\n  20 -> 23 [size =\"25110528\"]\n  21 [size=\"103321600\", alpha=\"0.19\", expect_size=\"30996480\"] \n  21 -> 22 [size =\"30996480\"]\n  21 -> 23 [size =\"30996480\"]\n  22 [size=\"56804693\", alpha=\"0.13\", expect_size=\"17041408\"] \n  22 -> 25 [size =\"17041408\"]\n  22 -> 26 [size =\"17041408\"]\n  23 [size=\"31129600\", alpha=\"0.11\", expect_size=\"9338880\"] \n  23 -> 24 [size =\"9338880\"]\n  23 -> 26 [size =\"9338880\"]\n  24 [size=\"106222933\", alpha=\"0.09\", expect_size=\"31866880\"] \n  25 [size=\"135700480\", alpha=\"0.11\", expect_size=\"40710144\"] \n  26 [size=\"25712640\", alpha=\"0.01\", expect_size=\"7713792\"] \n  26 -> 27 [size =\"7713792\"]\n  26 -> 28 [size =\"7713792\"]\n  27 [size=\"69092693\", alpha=\"0.11\", expect_size=\"20727808\"] \n  27 -> 29 [size =\"20727808\"]\n  27 -> 30 [size =\"20727808\"]\n  28 [size=\"60364800\", alpha=\"0.15\", expect_size=\"18109440\"] \n  28 -> 29 [size =\"18109440\"]\n  28 -> 30 [size =\"18109440\"]\n  28 -> 31 [size =\"18109440\"]\n  29 [size=\"61378560\", alpha=\"0.04\", expect_size=\"18413568\"] \n  30 [size=\"126399147\", alpha=\"0.19\", expect_size=\"37919744\"] \n  30 -> 33 [size =\"37919744\"]\n  31 [size=\"38485333\", alpha=\"0.09\", expect_size=\"11545600\"] \n  31 -> 32 [size =\"11545600\"]\n  32 [size=\"30641493\", alpha=\"0.00\", expect_size=\"9192448\"] \n  32 -> 34 [size =\"9192448\"]\n  32 -> 35 [size =\"9192448\"]\n  32 -> 36 [size =\"9192448\"]\n  33 [size=\"129542827\", alpha=\"0.19\", expect_size=\"38862848\"] \n  33 -> 34 [size =\"38862848\"]\n  33 -> 35 [size =\"38862848\"]\n  33 -> 36 [size =\"38862848\"]\n  34 [size=\"61849600\", alpha=\"0.05\", expect_size=\"18554880\"] \n  34 -> 38 [size =\"18554880\"]\n  35 [size=\"134014293\", alpha=\"0.18\", expect_size=\"40204288\"] \n  35 -> 37 [size =\"40204288\"]\n  35 -> 38 [size =\"40204288\"]\n  35 -> 39 [size =\"40204288\"]\n  36 [size=\"62433280\", alpha=\"0.10\", expect_size=\"18729984\"] \n  36 -> 37 [size =\"18729984\"]\n  36 -> 38 [size =\"18729984\"]\n  37 [size=\"70085973\", alpha=\"0.09\", expect_size=\"21025792\"] \n  37 -> 40 [size =\"21025792\"]\n  38 [size=\"156494507\", alpha=\"0.09\", expect_size=\"46948352\"] \n  38 -> 40 [size =\"46948352\"]\n  39 [size=\"118391467\", alpha=\"0.07\", expect_size=\"35517440\"] \n  40 [size=\"153077760\", alpha=\"0.13\", expect_size=\"45923328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70778880\", alpha=\"0.16\", expect_size=\"28311552\"] \n  1 -> 7 [size =\"28311552\"]\n  1 -> 11 [size =\"28311552\"]\n  2 [size=\"123589120\", alpha=\"0.07\", expect_size=\"49435648\"] \n  2 -> 6 [size =\"49435648\"]\n  2 -> 7 [size =\"49435648\"]\n  2 -> 10 [size =\"49435648\"]\n  3 [size=\"73976320\", alpha=\"0.05\", expect_size=\"29590528\"] \n  3 -> 6 [size =\"29590528\"]\n  3 -> 7 [size =\"29590528\"]\n  3 -> 8 [size =\"29590528\"]\n  3 -> 9 [size =\"29590528\"]\n  3 -> 10 [size =\"29590528\"]\n  3 -> 11 [size =\"29590528\"]\n  4 [size=\"69079040\", alpha=\"0.10\", expect_size=\"27631616\"] \n  4 -> 9 [size =\"27631616\"]\n  4 -> 10 [size =\"27631616\"]\n  4 -> 11 [size =\"27631616\"]\n  5 [size=\"106216960\", alpha=\"0.02\", expect_size=\"42486784\"] \n  5 -> 7 [size =\"42486784\"]\n  5 -> 10 [size =\"42486784\"]\n  5 -> 11 [size =\"42486784\"]\n  6 [size=\"74531840\", alpha=\"0.00\", expect_size=\"29812736\"] \n  6 -> 12 [size =\"29812736\"]\n  6 -> 15 [size =\"29812736\"]\n  7 [size=\"128778240\", alpha=\"0.00\", expect_size=\"51511296\"] \n  7 -> 13 [size =\"51511296\"]\n  7 -> 14 [size =\"51511296\"]\n  7 -> 15 [size =\"51511296\"]\n  8 [size=\"13196800\", alpha=\"0.02\", expect_size=\"5278720\"] \n  8 -> 12 [size =\"5278720\"]\n  8 -> 15 [size =\"5278720\"]\n  9 [size=\"97571840\", alpha=\"0.08\", expect_size=\"39028736\"] \n  9 -> 12 [size =\"39028736\"]\n  9 -> 14 [size =\"39028736\"]\n  10 [size=\"13826560\", alpha=\"0.18\", expect_size=\"5530624\"] \n  10 -> 13 [size =\"5530624\"]\n  11 [size=\"50152960\", alpha=\"0.19\", expect_size=\"20061184\"] \n  11 -> 15 [size =\"20061184\"]\n  11 -> 16 [size =\"20061184\"]\n  11 -> 17 [size =\"20061184\"]\n  12 [size=\"27755520\", alpha=\"0.04\", expect_size=\"11102208\"] \n  12 -> 18 [size =\"11102208\"]\n  12 -> 19 [size =\"11102208\"]\n  12 -> 21 [size =\"11102208\"]\n  12 -> 22 [size =\"11102208\"]\n  13 [size=\"67189760\", alpha=\"0.16\", expect_size=\"26875904\"] \n  13 -> 22 [size =\"26875904\"]\n  14 [size=\"95029760\", alpha=\"0.00\", expect_size=\"38011904\"] \n  15 [size=\"33303040\", alpha=\"0.06\", expect_size=\"13321216\"] \n  15 -> 19 [size =\"13321216\"]\n  16 [size=\"43468800\", alpha=\"0.19\", expect_size=\"17387520\"] \n  16 -> 18 [size =\"17387520\"]\n  16 -> 20 [size =\"17387520\"]\n  16 -> 21 [size =\"17387520\"]\n  17 [size=\"44733440\", alpha=\"0.08\", expect_size=\"17893376\"] \n  17 -> 18 [size =\"17893376\"]\n  17 -> 19 [size =\"17893376\"]\n  17 -> 20 [size =\"17893376\"]\n  17 -> 21 [size =\"17893376\"]\n  18 [size=\"46156800\", alpha=\"0.20\", expect_size=\"18462720\"] \n  18 -> 25 [size =\"18462720\"]\n  19 [size=\"55979520\", alpha=\"0.08\", expect_size=\"22391808\"] \n  19 -> 24 [size =\"22391808\"]\n  20 [size=\"103467520\", alpha=\"0.17\", expect_size=\"41387008\"] \n  20 -> 27 [size =\"41387008\"]\n  21 [size=\"94000640\", alpha=\"0.16\", expect_size=\"37600256\"] \n  21 -> 23 [size =\"37600256\"]\n  21 -> 26 [size =\"37600256\"]\n  22 [size=\"86492160\", alpha=\"0.14\", expect_size=\"34596864\"] \n  22 -> 23 [size =\"34596864\"]\n  22 -> 25 [size =\"34596864\"]\n  23 [size=\"107586560\", alpha=\"0.02\", expect_size=\"43034624\"] \n  23 -> 29 [size =\"43034624\"]\n  23 -> 31 [size =\"43034624\"]\n  23 -> 32 [size =\"43034624\"]\n  24 [size=\"85207040\", alpha=\"0.19\", expect_size=\"34082816\"] \n  24 -> 29 [size =\"34082816\"]\n  24 -> 30 [size =\"34082816\"]\n  24 -> 32 [size =\"34082816\"]\n  25 [size=\"87644160\", alpha=\"0.12\", expect_size=\"35057664\"] \n  25 -> 28 [size =\"35057664\"]\n  25 -> 31 [size =\"35057664\"]\n  26 [size=\"120880640\", alpha=\"0.16\", expect_size=\"48352256\"] \n  26 -> 29 [size =\"48352256\"]\n  26 -> 31 [size =\"48352256\"]\n  27 [size=\"114183680\", alpha=\"0.19\", expect_size=\"45673472\"] \n  27 -> 29 [size =\"45673472\"]\n  27 -> 30 [size =\"45673472\"]\n  27 -> 31 [size =\"45673472\"]\n  27 -> 32 [size =\"45673472\"]\n  28 [size=\"45811200\", alpha=\"0.02\", expect_size=\"18324480\"] \n  28 -> 35 [size =\"18324480\"]\n  29 [size=\"44651520\", alpha=\"0.20\", expect_size=\"17860608\"] \n  29 -> 34 [size =\"17860608\"]\n  29 -> 36 [size =\"17860608\"]\n  30 [size=\"94502400\", alpha=\"0.17\", expect_size=\"37800960\"] \n  30 -> 33 [size =\"37800960\"]\n  30 -> 36 [size =\"37800960\"]\n  30 -> 37 [size =\"37800960\"]\n  31 [size=\"79728640\", alpha=\"0.01\", expect_size=\"31891456\"] \n  31 -> 36 [size =\"31891456\"]\n  31 -> 38 [size =\"31891456\"]\n  32 [size=\"58004480\", alpha=\"0.08\", expect_size=\"23201792\"] \n  32 -> 33 [size =\"23201792\"]\n  32 -> 36 [size =\"23201792\"]\n  32 -> 38 [size =\"23201792\"]\n  33 [size=\"21844480\", alpha=\"0.03\", expect_size=\"8737792\"] \n  33 -> 40 [size =\"8737792\"]\n  34 [size=\"32125440\", alpha=\"0.13\", expect_size=\"12850176\"] \n  34 -> 40 [size =\"12850176\"]\n  35 [size=\"26854400\", alpha=\"0.06\", expect_size=\"10741760\"] \n  35 -> 40 [size =\"10741760\"]\n  36 [size=\"99138560\", alpha=\"0.04\", expect_size=\"39655424\"] \n  37 [size=\"74472960\", alpha=\"0.07\", expect_size=\"29789184\"] \n  37 -> 40 [size =\"29789184\"]\n  38 [size=\"68536320\", alpha=\"0.16\", expect_size=\"27414528\"] \n  38 -> 39 [size =\"27414528\"]\n  38 -> 40 [size =\"27414528\"]\n  39 [size=\"81415680\", alpha=\"0.12\", expect_size=\"32566272\"] \n  40 [size=\"79613440\", alpha=\"0.04\", expect_size=\"31845376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44847787\", alpha=\"0.02\", expect_size=\"13454336\"] \n  1 -> 2 [size =\"13454336\"]\n  1 -> 3 [size =\"13454336\"]\n  2 [size=\"116186453\", alpha=\"0.19\", expect_size=\"34855936\"] \n  3 [size=\"51264853\", alpha=\"0.17\", expect_size=\"15379456\"] \n  3 -> 4 [size =\"15379456\"]\n  4 [size=\"131112960\", alpha=\"0.16\", expect_size=\"39333888\"] \n  4 -> 5 [size =\"39333888\"]\n  4 -> 6 [size =\"39333888\"]\n  4 -> 7 [size =\"39333888\"]\n  4 -> 8 [size =\"39333888\"]\n  5 [size=\"148619947\", alpha=\"0.10\", expect_size=\"44585984\"] \n  5 -> 9 [size =\"44585984\"]\n  6 [size=\"152654507\", alpha=\"0.10\", expect_size=\"45796352\"] \n  6 -> 10 [size =\"45796352\"]\n  6 -> 11 [size =\"45796352\"]\n  6 -> 12 [size =\"45796352\"]\n  7 [size=\"140994560\", alpha=\"0.08\", expect_size=\"42298368\"] \n  7 -> 10 [size =\"42298368\"]\n  8 [size=\"70072320\", alpha=\"0.05\", expect_size=\"21021696\"] \n  8 -> 11 [size =\"21021696\"]\n  9 [size=\"81090560\", alpha=\"0.17\", expect_size=\"24327168\"] \n  9 -> 14 [size =\"24327168\"]\n  9 -> 16 [size =\"24327168\"]\n  10 [size=\"133335040\", alpha=\"0.17\", expect_size=\"40000512\"] \n  10 -> 13 [size =\"40000512\"]\n  10 -> 16 [size =\"40000512\"]\n  11 [size=\"62112427\", alpha=\"0.03\", expect_size=\"18633728\"] \n  11 -> 15 [size =\"18633728\"]\n  11 -> 16 [size =\"18633728\"]\n  12 [size=\"78721707\", alpha=\"0.03\", expect_size=\"23616512\"] \n  12 -> 15 [size =\"23616512\"]\n  13 [size=\"72263680\", alpha=\"0.05\", expect_size=\"21679104\"] \n  14 [size=\"45482667\", alpha=\"0.10\", expect_size=\"13644800\"] \n  14 -> 19 [size =\"13644800\"]\n  15 [size=\"173540693\", alpha=\"0.09\", expect_size=\"52062208\"] \n  15 -> 17 [size =\"52062208\"]\n  15 -> 18 [size =\"52062208\"]\n  16 [size=\"91446613\", alpha=\"0.13\", expect_size=\"27433984\"] \n  17 [size=\"173878613\", alpha=\"0.16\", expect_size=\"52163584\"] \n  17 -> 21 [size =\"52163584\"]\n  17 -> 22 [size =\"52163584\"]\n  17 -> 23 [size =\"52163584\"]\n  18 [size=\"76229973\", alpha=\"0.18\", expect_size=\"22868992\"] \n  18 -> 20 [size =\"22868992\"]\n  19 [size=\"116049920\", alpha=\"0.09\", expect_size=\"34814976\"] \n  19 -> 20 [size =\"34814976\"]\n  19 -> 22 [size =\"34814976\"]\n  20 [size=\"93037227\", alpha=\"0.15\", expect_size=\"27911168\"] \n  20 -> 27 [size =\"27911168\"]\n  21 [size=\"73280853\", alpha=\"0.04\", expect_size=\"21984256\"] \n  21 -> 25 [size =\"21984256\"]\n  21 -> 27 [size =\"21984256\"]\n  22 [size=\"95129600\", alpha=\"0.07\", expect_size=\"28538880\"] \n  23 [size=\"119739733\", alpha=\"0.13\", expect_size=\"35921920\"] \n  23 -> 24 [size =\"35921920\"]\n  23 -> 26 [size =\"35921920\"]\n  24 [size=\"162327893\", alpha=\"0.14\", expect_size=\"48698368\"] \n  25 [size=\"87166293\", alpha=\"0.11\", expect_size=\"26149888\"] \n  26 [size=\"154886827\", alpha=\"0.06\", expect_size=\"46466048\"] \n  26 -> 28 [size =\"46466048\"]\n  27 [size=\"101932373\", alpha=\"0.17\", expect_size=\"30579712\"] \n  28 [size=\"71229440\", alpha=\"0.14\", expect_size=\"21368832\"] \n  28 -> 29 [size =\"21368832\"]\n  28 -> 30 [size =\"21368832\"]\n  29 [size=\"53565440\", alpha=\"0.19\", expect_size=\"16069632\"] \n  29 -> 32 [size =\"16069632\"]\n  30 [size=\"122559147\", alpha=\"0.19\", expect_size=\"36767744\"] \n  30 -> 31 [size =\"36767744\"]\n  30 -> 32 [size =\"36767744\"]\n  30 -> 33 [size =\"36767744\"]\n  31 [size=\"82107733\", alpha=\"0.04\", expect_size=\"24632320\"] \n  31 -> 34 [size =\"24632320\"]\n  31 -> 35 [size =\"24632320\"]\n  32 [size=\"116862293\", alpha=\"0.18\", expect_size=\"35058688\"] \n  32 -> 35 [size =\"35058688\"]\n  33 [size=\"168256853\", alpha=\"0.18\", expect_size=\"50477056\"] \n  33 -> 34 [size =\"50477056\"]\n  34 [size=\"112786773\", alpha=\"0.02\", expect_size=\"33836032\"] \n  34 -> 36 [size =\"33836032\"]\n  34 -> 38 [size =\"33836032\"]\n  35 [size=\"64095573\", alpha=\"0.06\", expect_size=\"19228672\"] \n  35 -> 36 [size =\"19228672\"]\n  35 -> 37 [size =\"19228672\"]\n  35 -> 38 [size =\"19228672\"]\n  36 [size=\"153326933\", alpha=\"0.19\", expect_size=\"45998080\"] \n  36 -> 39 [size =\"45998080\"]\n  37 [size=\"43799893\", alpha=\"0.12\", expect_size=\"13139968\"] \n  37 -> 39 [size =\"13139968\"]\n  38 [size=\"173608960\", alpha=\"0.13\", expect_size=\"52082688\"] \n  39 [size=\"123484160\", alpha=\"0.06\", expect_size=\"37045248\"] \n  39 -> 40 [size =\"37045248\"]\n  40 [size=\"114333013\", alpha=\"0.08\", expect_size=\"34299904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63989760\", alpha=\"0.01\", expect_size=\"19196928\"] \n  1 -> 2 [size =\"19196928\"]\n  2 [size=\"162628267\", alpha=\"0.00\", expect_size=\"48788480\"] \n  2 -> 3 [size =\"48788480\"]\n  3 [size=\"155941547\", alpha=\"0.16\", expect_size=\"46782464\"] \n  3 -> 4 [size =\"46782464\"]\n  4 [size=\"74407253\", alpha=\"0.19\", expect_size=\"22322176\"] \n  4 -> 5 [size =\"22322176\"]\n  5 [size=\"161740800\", alpha=\"0.06\", expect_size=\"48522240\"] \n  5 -> 6 [size =\"48522240\"]\n  6 [size=\"47656960\", alpha=\"0.19\", expect_size=\"14297088\"] \n  6 -> 7 [size =\"14297088\"]\n  7 [size=\"77291520\", alpha=\"0.09\", expect_size=\"23187456\"] \n  7 -> 8 [size =\"23187456\"]\n  8 [size=\"28593493\", alpha=\"0.13\", expect_size=\"8578048\"] \n  8 -> 9 [size =\"8578048\"]\n  9 [size=\"81759573\", alpha=\"0.11\", expect_size=\"24527872\"] \n  9 -> 10 [size =\"24527872\"]\n  10 [size=\"102270293\", alpha=\"0.11\", expect_size=\"30681088\"] \n  10 -> 11 [size =\"30681088\"]\n  11 [size=\"119599787\", alpha=\"0.09\", expect_size=\"35879936\"] \n  11 -> 12 [size =\"35879936\"]\n  12 [size=\"124037120\", alpha=\"0.05\", expect_size=\"37211136\"] \n  12 -> 13 [size =\"37211136\"]\n  13 [size=\"127904427\", alpha=\"0.11\", expect_size=\"38371328\"] \n  13 -> 14 [size =\"38371328\"]\n  14 [size=\"97792000\", alpha=\"0.17\", expect_size=\"29337600\"] \n  14 -> 15 [size =\"29337600\"]\n  15 [size=\"91473920\", alpha=\"0.04\", expect_size=\"27442176\"] \n  15 -> 16 [size =\"27442176\"]\n  16 [size=\"139137707\", alpha=\"0.14\", expect_size=\"41741312\"] \n  16 -> 17 [size =\"41741312\"]\n  17 [size=\"132498773\", alpha=\"0.05\", expect_size=\"39749632\"] \n  17 -> 18 [size =\"39749632\"]\n  18 [size=\"49817600\", alpha=\"0.20\", expect_size=\"14945280\"] \n  18 -> 19 [size =\"14945280\"]\n  19 [size=\"150043307\", alpha=\"0.11\", expect_size=\"45012992\"] \n  19 -> 20 [size =\"45012992\"]\n  20 [size=\"82684587\", alpha=\"0.03\", expect_size=\"24805376\"] \n  20 -> 21 [size =\"24805376\"]\n  21 [size=\"166321493\", alpha=\"0.01\", expect_size=\"49896448\"] \n  21 -> 22 [size =\"49896448\"]\n  22 [size=\"83176107\", alpha=\"0.18\", expect_size=\"24952832\"] \n  22 -> 23 [size =\"24952832\"]\n  23 [size=\"123900587\", alpha=\"0.12\", expect_size=\"37170176\"] \n  23 -> 24 [size =\"37170176\"]\n  24 [size=\"56763733\", alpha=\"0.14\", expect_size=\"17029120\"] \n  24 -> 25 [size =\"17029120\"]\n  25 [size=\"29412693\", alpha=\"0.14\", expect_size=\"8823808\"] \n  25 -> 26 [size =\"8823808\"]\n  26 [size=\"58429440\", alpha=\"0.17\", expect_size=\"17528832\"] \n  26 -> 27 [size =\"17528832\"]\n  27 [size=\"169489067\", alpha=\"0.09\", expect_size=\"50846720\"] \n  27 -> 28 [size =\"50846720\"]\n  28 [size=\"47643307\", alpha=\"0.01\", expect_size=\"14292992\"] \n  28 -> 29 [size =\"14292992\"]\n  29 [size=\"44574720\", alpha=\"0.02\", expect_size=\"13372416\"] \n  29 -> 30 [size =\"13372416\"]\n  30 [size=\"128406187\", alpha=\"0.14\", expect_size=\"38521856\"] \n  30 -> 31 [size =\"38521856\"]\n  31 [size=\"151732907\", alpha=\"0.19\", expect_size=\"45519872\"] \n  31 -> 32 [size =\"45519872\"]\n  32 [size=\"161071787\", alpha=\"0.17\", expect_size=\"48321536\"] \n  32 -> 33 [size =\"48321536\"]\n  33 [size=\"144291840\", alpha=\"0.09\", expect_size=\"43287552\"] \n  33 -> 34 [size =\"43287552\"]\n  34 [size=\"82571947\", alpha=\"0.12\", expect_size=\"24771584\"] \n  34 -> 35 [size =\"24771584\"]\n  35 [size=\"32846507\", alpha=\"0.03\", expect_size=\"9853952\"] \n  35 -> 36 [size =\"9853952\"]\n  36 [size=\"139376640\", alpha=\"0.11\", expect_size=\"41812992\"] \n  36 -> 37 [size =\"41812992\"]\n  37 [size=\"117773653\", alpha=\"0.13\", expect_size=\"35332096\"] \n  37 -> 38 [size =\"35332096\"]\n  38 [size=\"27852800\", alpha=\"0.19\", expect_size=\"8355840\"] \n  38 -> 39 [size =\"8355840\"]\n  39 [size=\"38017707\", alpha=\"0.02\", expect_size=\"11405312\"] \n  39 -> 40 [size =\"11405312\"]\n  40 [size=\"55268693\", alpha=\"0.13\", expect_size=\"16580608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52828160\", alpha=\"0.18\", expect_size=\"26414080\"] \n  1 -> 5 [size =\"26414080\"]\n  1 -> 6 [size =\"26414080\"]\n  1 -> 7 [size =\"26414080\"]\n  2 [size=\"47015936\", alpha=\"0.17\", expect_size=\"23507968\"] \n  2 -> 7 [size =\"23507968\"]\n  3 [size=\"82165760\", alpha=\"0.13\", expect_size=\"41082880\"] \n  3 -> 5 [size =\"41082880\"]\n  3 -> 7 [size =\"41082880\"]\n  3 -> 8 [size =\"41082880\"]\n  4 [size=\"11272192\", alpha=\"0.05\", expect_size=\"5636096\"] \n  4 -> 7 [size =\"5636096\"]\n  5 [size=\"21735424\", alpha=\"0.02\", expect_size=\"10867712\"] \n  5 -> 9 [size =\"10867712\"]\n  5 -> 10 [size =\"10867712\"]\n  6 [size=\"74674176\", alpha=\"0.08\", expect_size=\"37337088\"] \n  6 -> 10 [size =\"37337088\"]\n  6 -> 11 [size =\"37337088\"]\n  7 [size=\"70449152\", alpha=\"0.03\", expect_size=\"35224576\"] \n  7 -> 10 [size =\"35224576\"]\n  8 [size=\"89481216\", alpha=\"0.18\", expect_size=\"44740608\"] \n  8 -> 10 [size =\"44740608\"]\n  9 [size=\"41132032\", alpha=\"0.10\", expect_size=\"20566016\"] \n  9 -> 12 [size =\"20566016\"]\n  9 -> 13 [size =\"20566016\"]\n  10 [size=\"31899648\", alpha=\"0.04\", expect_size=\"15949824\"] \n  10 -> 13 [size =\"15949824\"]\n  10 -> 13 [size =\"15949824\"]\n  11 [size=\"25247744\", alpha=\"0.14\", expect_size=\"12623872\"] \n  12 [size=\"13568000\", alpha=\"0.00\", expect_size=\"6784000\"] \n  12 -> 14 [size =\"6784000\"]\n  12 -> 15 [size =\"6784000\"]\n  12 -> 16 [size =\"6784000\"]\n  13 [size=\"95399936\", alpha=\"0.06\", expect_size=\"47699968\"] \n  13 -> 14 [size =\"47699968\"]\n  13 -> 15 [size =\"47699968\"]\n  13 -> 16 [size =\"47699968\"]\n  14 [size=\"63520768\", alpha=\"0.07\", expect_size=\"31760384\"] \n  14 -> 18 [size =\"31760384\"]\n  14 -> 19 [size =\"31760384\"]\n  15 [size=\"85364736\", alpha=\"0.09\", expect_size=\"42682368\"] \n  15 -> 19 [size =\"42682368\"]\n  16 [size=\"92518400\", alpha=\"0.11\", expect_size=\"46259200\"] \n  16 -> 17 [size =\"46259200\"]\n  16 -> 19 [size =\"46259200\"]\n  17 [size=\"37517312\", alpha=\"0.13\", expect_size=\"18758656\"] \n  17 -> 20 [size =\"18758656\"]\n  17 -> 21 [size =\"18758656\"]\n  18 [size=\"53360640\", alpha=\"0.08\", expect_size=\"26680320\"] \n  18 -> 20 [size =\"26680320\"]\n  18 -> 21 [size =\"26680320\"]\n  19 [size=\"43837440\", alpha=\"0.15\", expect_size=\"21918720\"] \n  19 -> 20 [size =\"21918720\"]\n  19 -> 21 [size =\"21918720\"]\n  20 [size=\"89724928\", alpha=\"0.02\", expect_size=\"44862464\"] \n  20 -> 22 [size =\"44862464\"]\n  20 -> 23 [size =\"44862464\"]\n  20 -> 24 [size =\"44862464\"]\n  21 [size=\"16461824\", alpha=\"0.18\", expect_size=\"8230912\"] \n  21 -> 24 [size =\"8230912\"]\n  22 [size=\"82313216\", alpha=\"0.02\", expect_size=\"41156608\"] \n  22 -> 25 [size =\"41156608\"]\n  22 -> 26 [size =\"41156608\"]\n  23 [size=\"82659328\", alpha=\"0.00\", expect_size=\"41329664\"] \n  23 -> 25 [size =\"41329664\"]\n  23 -> 26 [size =\"41329664\"]\n  23 -> 27 [size =\"41329664\"]\n  24 [size=\"15812608\", alpha=\"0.20\", expect_size=\"7906304\"] \n  24 -> 26 [size =\"7906304\"]\n  25 [size=\"50501632\", alpha=\"0.01\", expect_size=\"25250816\"] \n  25 -> 30 [size =\"25250816\"]\n  26 [size=\"91138048\", alpha=\"0.16\", expect_size=\"45569024\"] \n  26 -> 28 [size =\"45569024\"]\n  26 -> 29 [size =\"45569024\"]\n  26 -> 30 [size =\"45569024\"]\n  27 [size=\"49764352\", alpha=\"0.04\", expect_size=\"24882176\"] \n  27 -> 28 [size =\"24882176\"]\n  27 -> 29 [size =\"24882176\"]\n  27 -> 30 [size =\"24882176\"]\n  27 -> 31 [size =\"24882176\"]\n  28 [size=\"17950720\", alpha=\"0.08\", expect_size=\"8975360\"] \n  28 -> 32 [size =\"8975360\"]\n  28 -> 33 [size =\"8975360\"]\n  28 -> 34 [size =\"8975360\"]\n  28 -> 35 [size =\"8975360\"]\n  29 [size=\"55855104\", alpha=\"0.19\", expect_size=\"27927552\"] \n  29 -> 32 [size =\"27927552\"]\n  29 -> 34 [size =\"27927552\"]\n  29 -> 35 [size =\"27927552\"]\n  30 [size=\"32573440\", alpha=\"0.15\", expect_size=\"16286720\"] \n  30 -> 32 [size =\"16286720\"]\n  30 -> 35 [size =\"16286720\"]\n  31 [size=\"42100736\", alpha=\"0.13\", expect_size=\"21050368\"] \n  31 -> 33 [size =\"21050368\"]\n  31 -> 34 [size =\"21050368\"]\n  31 -> 35 [size =\"21050368\"]\n  32 [size=\"32407552\", alpha=\"0.12\", expect_size=\"16203776\"] \n  32 -> 36 [size =\"16203776\"]\n  32 -> 37 [size =\"16203776\"]\n  32 -> 38 [size =\"16203776\"]\n  33 [size=\"40024064\", alpha=\"0.10\", expect_size=\"20012032\"] \n  33 -> 36 [size =\"20012032\"]\n  33 -> 38 [size =\"20012032\"]\n  33 -> 38 [size =\"20012032\"]\n  34 [size=\"42262528\", alpha=\"0.18\", expect_size=\"21131264\"] \n  35 [size=\"39905280\", alpha=\"0.03\", expect_size=\"19952640\"] \n  35 -> 36 [size =\"19952640\"]\n  35 -> 38 [size =\"19952640\"]\n  36 [size=\"44206080\", alpha=\"0.04\", expect_size=\"22103040\"] \n  36 -> 40 [size =\"22103040\"]\n  37 [size=\"24979456\", alpha=\"0.12\", expect_size=\"12489728\"] \n  37 -> 39 [size =\"12489728\"]\n  37 -> 40 [size =\"12489728\"]\n  38 [size=\"42192896\", alpha=\"0.08\", expect_size=\"21096448\"] \n  38 -> 40 [size =\"21096448\"]\n  39 [size=\"80467968\", alpha=\"0.12\", expect_size=\"40233984\"] \n  40 [size=\"76081152\", alpha=\"0.13\", expect_size=\"38040576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11307008\", alpha=\"0.04\", expect_size=\"5653504\"] \n  1 -> 13 [size =\"5653504\"]\n  1 -> 14 [size =\"5653504\"]\n  1 -> 17 [size =\"5653504\"]\n  1 -> 22 [size =\"5653504\"]\n  1 -> 24 [size =\"5653504\"]\n  2 [size=\"77166592\", alpha=\"0.11\", expect_size=\"38583296\"] \n  2 -> 13 [size =\"38583296\"]\n  2 -> 14 [size =\"38583296\"]\n  2 -> 15 [size =\"38583296\"]\n  2 -> 16 [size =\"38583296\"]\n  2 -> 17 [size =\"38583296\"]\n  2 -> 18 [size =\"38583296\"]\n  2 -> 22 [size =\"38583296\"]\n  2 -> 24 [size =\"38583296\"]\n  3 [size=\"59447296\", alpha=\"0.05\", expect_size=\"29723648\"] \n  3 -> 13 [size =\"29723648\"]\n  3 -> 14 [size =\"29723648\"]\n  3 -> 17 [size =\"29723648\"]\n  3 -> 18 [size =\"29723648\"]\n  3 -> 19 [size =\"29723648\"]\n  3 -> 22 [size =\"29723648\"]\n  3 -> 23 [size =\"29723648\"]\n  3 -> 24 [size =\"29723648\"]\n  4 [size=\"15824896\", alpha=\"0.16\", expect_size=\"7912448\"] \n  4 -> 13 [size =\"7912448\"]\n  4 -> 14 [size =\"7912448\"]\n  4 -> 17 [size =\"7912448\"]\n  4 -> 18 [size =\"7912448\"]\n  4 -> 22 [size =\"7912448\"]\n  4 -> 23 [size =\"7912448\"]\n  4 -> 24 [size =\"7912448\"]\n  5 [size=\"81745920\", alpha=\"0.15\", expect_size=\"40872960\"] \n  5 -> 13 [size =\"40872960\"]\n  5 -> 15 [size =\"40872960\"]\n  5 -> 17 [size =\"40872960\"]\n  5 -> 18 [size =\"40872960\"]\n  5 -> 22 [size =\"40872960\"]\n  5 -> 24 [size =\"40872960\"]\n  5 -> 24 [size =\"40872960\"]\n  6 [size=\"66027520\", alpha=\"0.16\", expect_size=\"33013760\"] \n  6 -> 13 [size =\"33013760\"]\n  6 -> 15 [size =\"33013760\"]\n  6 -> 16 [size =\"33013760\"]\n  6 -> 18 [size =\"33013760\"]\n  6 -> 22 [size =\"33013760\"]\n  7 [size=\"97296384\", alpha=\"0.14\", expect_size=\"48648192\"] \n  7 -> 13 [size =\"48648192\"]\n  7 -> 14 [size =\"48648192\"]\n  7 -> 17 [size =\"48648192\"]\n  7 -> 18 [size =\"48648192\"]\n  7 -> 21 [size =\"48648192\"]\n  7 -> 22 [size =\"48648192\"]\n  7 -> 24 [size =\"48648192\"]\n  8 [size=\"65642496\", alpha=\"0.10\", expect_size=\"32821248\"] \n  8 -> 13 [size =\"32821248\"]\n  8 -> 16 [size =\"32821248\"]\n  8 -> 17 [size =\"32821248\"]\n  8 -> 18 [size =\"32821248\"]\n  8 -> 22 [size =\"32821248\"]\n  8 -> 22 [size =\"32821248\"]\n  8 -> 24 [size =\"32821248\"]\n  9 [size=\"45660160\", alpha=\"0.03\", expect_size=\"22830080\"] \n  9 -> 14 [size =\"22830080\"]\n  9 -> 15 [size =\"22830080\"]\n  9 -> 16 [size =\"22830080\"]\n  9 -> 17 [size =\"22830080\"]\n  9 -> 18 [size =\"22830080\"]\n  9 -> 20 [size =\"22830080\"]\n  10 [size=\"61992960\", alpha=\"0.10\", expect_size=\"30996480\"] \n  10 -> 13 [size =\"30996480\"]\n  10 -> 14 [size =\"30996480\"]\n  10 -> 15 [size =\"30996480\"]\n  10 -> 17 [size =\"30996480\"]\n  10 -> 18 [size =\"30996480\"]\n  10 -> 21 [size =\"30996480\"]\n  10 -> 22 [size =\"30996480\"]\n  11 [size=\"47198208\", alpha=\"0.04\", expect_size=\"23599104\"] \n  11 -> 15 [size =\"23599104\"]\n  11 -> 17 [size =\"23599104\"]\n  11 -> 18 [size =\"23599104\"]\n  11 -> 19 [size =\"23599104\"]\n  11 -> 21 [size =\"23599104\"]\n  12 [size=\"67155968\", alpha=\"0.18\", expect_size=\"33577984\"] \n  12 -> 15 [size =\"33577984\"]\n  12 -> 16 [size =\"33577984\"]\n  12 -> 17 [size =\"33577984\"]\n  12 -> 18 [size =\"33577984\"]\n  12 -> 21 [size =\"33577984\"]\n  13 [size=\"26941440\", alpha=\"0.09\", expect_size=\"13470720\"] \n  13 -> 26 [size =\"13470720\"]\n  13 -> 27 [size =\"13470720\"]\n  13 -> 30 [size =\"13470720\"]\n  13 -> 32 [size =\"13470720\"]\n  13 -> 34 [size =\"13470720\"]\n  13 -> 35 [size =\"13470720\"]\n  14 [size=\"49139712\", alpha=\"0.19\", expect_size=\"24569856\"] \n  14 -> 26 [size =\"24569856\"]\n  14 -> 27 [size =\"24569856\"]\n  14 -> 29 [size =\"24569856\"]\n  14 -> 32 [size =\"24569856\"]\n  14 -> 35 [size =\"24569856\"]\n  15 [size=\"30228480\", alpha=\"0.16\", expect_size=\"15114240\"] \n  15 -> 26 [size =\"15114240\"]\n  15 -> 29 [size =\"15114240\"]\n  15 -> 30 [size =\"15114240\"]\n  16 [size=\"101859328\", alpha=\"0.05\", expect_size=\"50929664\"] \n  16 -> 26 [size =\"50929664\"]\n  16 -> 32 [size =\"50929664\"]\n  16 -> 34 [size =\"50929664\"]\n  16 -> 35 [size =\"50929664\"]\n  17 [size=\"80891904\", alpha=\"0.11\", expect_size=\"40445952\"] \n  17 -> 26 [size =\"40445952\"]\n  17 -> 27 [size =\"40445952\"]\n  17 -> 29 [size =\"40445952\"]\n  17 -> 30 [size =\"40445952\"]\n  17 -> 33 [size =\"40445952\"]\n  17 -> 35 [size =\"40445952\"]\n  18 [size=\"52580352\", alpha=\"0.01\", expect_size=\"26290176\"] \n  18 -> 26 [size =\"26290176\"]\n  18 -> 27 [size =\"26290176\"]\n  18 -> 28 [size =\"26290176\"]\n  18 -> 30 [size =\"26290176\"]\n  18 -> 32 [size =\"26290176\"]\n  18 -> 34 [size =\"26290176\"]\n  18 -> 35 [size =\"26290176\"]\n  19 [size=\"97765376\", alpha=\"0.07\", expect_size=\"48882688\"] \n  19 -> 25 [size =\"48882688\"]\n  19 -> 26 [size =\"48882688\"]\n  19 -> 30 [size =\"48882688\"]\n  19 -> 32 [size =\"48882688\"]\n  19 -> 35 [size =\"48882688\"]\n  20 [size=\"18917376\", alpha=\"0.18\", expect_size=\"9458688\"] \n  20 -> 26 [size =\"9458688\"]\n  20 -> 26 [size =\"9458688\"]\n  20 -> 29 [size =\"9458688\"]\n  20 -> 30 [size =\"9458688\"]\n  20 -> 31 [size =\"9458688\"]\n  20 -> 32 [size =\"9458688\"]\n  20 -> 34 [size =\"9458688\"]\n  21 [size=\"68413440\", alpha=\"0.10\", expect_size=\"34206720\"] \n  21 -> 26 [size =\"34206720\"]\n  21 -> 30 [size =\"34206720\"]\n  21 -> 34 [size =\"34206720\"]\n  22 [size=\"87496704\", alpha=\"0.16\", expect_size=\"43748352\"] \n  22 -> 33 [size =\"43748352\"]\n  22 -> 34 [size =\"43748352\"]\n  22 -> 35 [size =\"43748352\"]\n  23 [size=\"78651392\", alpha=\"0.12\", expect_size=\"39325696\"] \n  23 -> 29 [size =\"39325696\"]\n  23 -> 30 [size =\"39325696\"]\n  23 -> 34 [size =\"39325696\"]\n  23 -> 35 [size =\"39325696\"]\n  24 [size=\"29075456\", alpha=\"0.09\", expect_size=\"14537728\"] \n  24 -> 26 [size =\"14537728\"]\n  24 -> 29 [size =\"14537728\"]\n  24 -> 30 [size =\"14537728\"]\n  24 -> 32 [size =\"14537728\"]\n  24 -> 34 [size =\"14537728\"]\n  24 -> 35 [size =\"14537728\"]\n  24 -> 36 [size =\"14537728\"]\n  25 [size=\"23465984\", alpha=\"0.02\", expect_size=\"11732992\"] \n  26 [size=\"97566720\", alpha=\"0.06\", expect_size=\"48783360\"] \n  26 -> 37 [size =\"48783360\"]\n  27 [size=\"24899584\", alpha=\"0.09\", expect_size=\"12449792\"] \n  27 -> 37 [size =\"12449792\"]\n  27 -> 38 [size =\"12449792\"]\n  28 [size=\"77971456\", alpha=\"0.03\", expect_size=\"38985728\"] \n  28 -> 37 [size =\"38985728\"]\n  28 -> 40 [size =\"38985728\"]\n  29 [size=\"83771392\", alpha=\"0.05\", expect_size=\"41885696\"] \n  29 -> 38 [size =\"41885696\"]\n  29 -> 39 [size =\"41885696\"]\n  30 [size=\"21422080\", alpha=\"0.18\", expect_size=\"10711040\"] \n  31 [size=\"13553664\", alpha=\"0.18\", expect_size=\"6776832\"] \n  31 -> 38 [size =\"6776832\"]\n  31 -> 39 [size =\"6776832\"]\n  32 [size=\"60985344\", alpha=\"0.11\", expect_size=\"30492672\"] \n  33 [size=\"41660416\", alpha=\"0.07\", expect_size=\"20830208\"] \n  34 [size=\"98910208\", alpha=\"0.11\", expect_size=\"49455104\"] \n  35 [size=\"49334272\", alpha=\"0.19\", expect_size=\"24667136\"] \n  35 -> 38 [size =\"24667136\"]\n  35 -> 39 [size =\"24667136\"]\n  36 [size=\"58562560\", alpha=\"0.07\", expect_size=\"29281280\"] \n  36 -> 37 [size =\"29281280\"]\n  36 -> 40 [size =\"29281280\"]\n  37 [size=\"87767040\", alpha=\"0.09\", expect_size=\"43883520\"] \n  38 [size=\"35014656\", alpha=\"0.01\", expect_size=\"17507328\"] \n  39 [size=\"49836032\", alpha=\"0.11\", expect_size=\"24918016\"] \n  40 [size=\"73035776\", alpha=\"0.03\", expect_size=\"36517888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142062933\", alpha=\"0.05\", expect_size=\"42618880\"] \n  1 -> 7 [size =\"42618880\"]\n  1 -> 9 [size =\"42618880\"]\n  2 [size=\"101205333\", alpha=\"0.01\", expect_size=\"30361600\"] \n  2 -> 6 [size =\"30361600\"]\n  2 -> 8 [size =\"30361600\"]\n  2 -> 9 [size =\"30361600\"]\n  2 -> 11 [size =\"30361600\"]\n  3 [size=\"120279040\", alpha=\"0.14\", expect_size=\"36083712\"] \n  3 -> 6 [size =\"36083712\"]\n  3 -> 10 [size =\"36083712\"]\n  4 [size=\"34860373\", alpha=\"0.13\", expect_size=\"10458112\"] \n  4 -> 8 [size =\"10458112\"]\n  4 -> 10 [size =\"10458112\"]\n  4 -> 11 [size =\"10458112\"]\n  5 [size=\"159488000\", alpha=\"0.07\", expect_size=\"47846400\"] \n  6 [size=\"66911573\", alpha=\"0.03\", expect_size=\"20073472\"] \n  6 -> 15 [size =\"20073472\"]\n  6 -> 18 [size =\"20073472\"]\n  7 [size=\"100778667\", alpha=\"0.07\", expect_size=\"30233600\"] \n  7 -> 13 [size =\"30233600\"]\n  7 -> 14 [size =\"30233600\"]\n  7 -> 17 [size =\"30233600\"]\n  8 [size=\"102666240\", alpha=\"0.08\", expect_size=\"30799872\"] \n  8 -> 13 [size =\"30799872\"]\n  8 -> 15 [size =\"30799872\"]\n  8 -> 16 [size =\"30799872\"]\n  9 [size=\"163454293\", alpha=\"0.07\", expect_size=\"49036288\"] \n  9 -> 12 [size =\"49036288\"]\n  9 -> 13 [size =\"49036288\"]\n  10 [size=\"160221867\", alpha=\"0.09\", expect_size=\"48066560\"] \n  10 -> 12 [size =\"48066560\"]\n  10 -> 16 [size =\"48066560\"]\n  10 -> 17 [size =\"48066560\"]\n  11 [size=\"70365867\", alpha=\"0.05\", expect_size=\"21109760\"] \n  11 -> 15 [size =\"21109760\"]\n  11 -> 16 [size =\"21109760\"]\n  11 -> 19 [size =\"21109760\"]\n  12 [size=\"107714560\", alpha=\"0.13\", expect_size=\"32314368\"] \n  12 -> 22 [size =\"32314368\"]\n  12 -> 24 [size =\"32314368\"]\n  12 -> 25 [size =\"32314368\"]\n  13 [size=\"112585387\", alpha=\"0.12\", expect_size=\"33775616\"] \n  14 [size=\"67078827\", alpha=\"0.09\", expect_size=\"20123648\"] \n  14 -> 20 [size =\"20123648\"]\n  14 -> 26 [size =\"20123648\"]\n  15 [size=\"167072427\", alpha=\"0.11\", expect_size=\"50121728\"] \n  16 [size=\"68734293\", alpha=\"0.02\", expect_size=\"20620288\"] \n  16 -> 20 [size =\"20620288\"]\n  16 -> 23 [size =\"20620288\"]\n  16 -> 25 [size =\"20620288\"]\n  16 -> 26 [size =\"20620288\"]\n  17 [size=\"91620693\", alpha=\"0.10\", expect_size=\"27486208\"] \n  17 -> 26 [size =\"27486208\"]\n  18 [size=\"147230720\", alpha=\"0.18\", expect_size=\"44169216\"] \n  19 [size=\"49271467\", alpha=\"0.18\", expect_size=\"14781440\"] \n  19 -> 21 [size =\"14781440\"]\n  19 -> 27 [size =\"14781440\"]\n  20 [size=\"102560427\", alpha=\"0.06\", expect_size=\"30768128\"] \n  21 [size=\"173933227\", alpha=\"0.09\", expect_size=\"52179968\"] \n  21 -> 28 [size =\"52179968\"]\n  22 [size=\"58122240\", alpha=\"0.03\", expect_size=\"17436672\"] \n  22 -> 29 [size =\"17436672\"]\n  22 -> 30 [size =\"17436672\"]\n  23 [size=\"160320853\", alpha=\"0.11\", expect_size=\"48096256\"] \n  23 -> 28 [size =\"48096256\"]\n  24 [size=\"96105813\", alpha=\"0.00\", expect_size=\"28831744\"] \n  24 -> 31 [size =\"28831744\"]\n  24 -> 32 [size =\"28831744\"]\n  25 [size=\"167891627\", alpha=\"0.08\", expect_size=\"50367488\"] \n  25 -> 31 [size =\"50367488\"]\n  26 [size=\"94897493\", alpha=\"0.01\", expect_size=\"28469248\"] \n  26 -> 30 [size =\"28469248\"]\n  26 -> 32 [size =\"28469248\"]\n  27 [size=\"110411093\", alpha=\"0.06\", expect_size=\"33123328\"] \n  27 -> 28 [size =\"33123328\"]\n  27 -> 30 [size =\"33123328\"]\n  28 [size=\"32273067\", alpha=\"0.01\", expect_size=\"9681920\"] \n  28 -> 33 [size =\"9681920\"]\n  29 [size=\"172581547\", alpha=\"0.15\", expect_size=\"51774464\"] \n  29 -> 35 [size =\"51774464\"]\n  30 [size=\"157375147\", alpha=\"0.07\", expect_size=\"47212544\"] \n  30 -> 34 [size =\"47212544\"]\n  31 [size=\"45322240\", alpha=\"0.05\", expect_size=\"13596672\"] \n  32 [size=\"118295893\", alpha=\"0.16\", expect_size=\"35488768\"] \n  33 [size=\"145452373\", alpha=\"0.18\", expect_size=\"43635712\"] \n  33 -> 36 [size =\"43635712\"]\n  34 [size=\"72314880\", alpha=\"0.06\", expect_size=\"21694464\"] \n  34 -> 38 [size =\"21694464\"]\n  35 [size=\"73553920\", alpha=\"0.14\", expect_size=\"22066176\"] \n  35 -> 37 [size =\"22066176\"]\n  35 -> 39 [size =\"22066176\"]\n  35 -> 40 [size =\"22066176\"]\n  36 [size=\"133898240\", alpha=\"0.08\", expect_size=\"40169472\"] \n  37 [size=\"145496747\", alpha=\"0.12\", expect_size=\"43649024\"] \n  38 [size=\"34368853\", alpha=\"0.12\", expect_size=\"10310656\"] \n  39 [size=\"42994347\", alpha=\"0.16\", expect_size=\"12898304\"] \n  40 [size=\"160064853\", alpha=\"0.11\", expect_size=\"48019456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128230400\", alpha=\"0.12\", expect_size=\"51292160\"] \n  1 -> 2 [size =\"51292160\"]\n  2 [size=\"26997760\", alpha=\"0.00\", expect_size=\"10799104\"] \n  2 -> 3 [size =\"10799104\"]\n  3 [size=\"33559040\", alpha=\"0.09\", expect_size=\"13423616\"] \n  3 -> 4 [size =\"13423616\"]\n  4 [size=\"23656960\", alpha=\"0.16\", expect_size=\"9462784\"] \n  4 -> 5 [size =\"9462784\"]\n  5 [size=\"35486720\", alpha=\"0.17\", expect_size=\"14194688\"] \n  5 -> 6 [size =\"14194688\"]\n  6 [size=\"103165440\", alpha=\"0.12\", expect_size=\"41266176\"] \n  6 -> 7 [size =\"41266176\"]\n  7 [size=\"120478720\", alpha=\"0.16\", expect_size=\"48191488\"] \n  7 -> 8 [size =\"48191488\"]\n  8 [size=\"44285440\", alpha=\"0.04\", expect_size=\"17714176\"] \n  8 -> 9 [size =\"17714176\"]\n  9 [size=\"106570240\", alpha=\"0.05\", expect_size=\"42628096\"] \n  9 -> 10 [size =\"42628096\"]\n  10 [size=\"50938880\", alpha=\"0.06\", expect_size=\"20375552\"] \n  10 -> 11 [size =\"20375552\"]\n  11 [size=\"117337600\", alpha=\"0.08\", expect_size=\"46935040\"] \n  11 -> 12 [size =\"46935040\"]\n  12 [size=\"70120960\", alpha=\"0.07\", expect_size=\"28048384\"] \n  12 -> 13 [size =\"28048384\"]\n  13 [size=\"71554560\", alpha=\"0.14\", expect_size=\"28621824\"] \n  13 -> 14 [size =\"28621824\"]\n  14 [size=\"123335680\", alpha=\"0.01\", expect_size=\"49334272\"] \n  14 -> 15 [size =\"49334272\"]\n  15 [size=\"101427200\", alpha=\"0.11\", expect_size=\"40570880\"] \n  15 -> 16 [size =\"40570880\"]\n  16 [size=\"86033920\", alpha=\"0.11\", expect_size=\"34413568\"] \n  16 -> 17 [size =\"34413568\"]\n  17 [size=\"41597440\", alpha=\"0.19\", expect_size=\"16638976\"] \n  17 -> 18 [size =\"16638976\"]\n  18 [size=\"15674880\", alpha=\"0.12\", expect_size=\"6269952\"] \n  18 -> 19 [size =\"6269952\"]\n  19 [size=\"41059840\", alpha=\"0.06\", expect_size=\"16423936\"] \n  19 -> 20 [size =\"16423936\"]\n  20 [size=\"72115200\", alpha=\"0.08\", expect_size=\"28846080\"] \n  20 -> 21 [size =\"28846080\"]\n  21 [size=\"106147840\", alpha=\"0.09\", expect_size=\"42459136\"] \n  21 -> 22 [size =\"42459136\"]\n  22 [size=\"34201600\", alpha=\"0.12\", expect_size=\"13680640\"] \n  22 -> 23 [size =\"13680640\"]\n  23 [size=\"76651520\", alpha=\"0.19\", expect_size=\"30660608\"] \n  23 -> 24 [size =\"30660608\"]\n  24 [size=\"38392320\", alpha=\"0.07\", expect_size=\"15356928\"] \n  24 -> 25 [size =\"15356928\"]\n  25 [size=\"44618240\", alpha=\"0.20\", expect_size=\"17847296\"] \n  25 -> 26 [size =\"17847296\"]\n  26 [size=\"111710720\", alpha=\"0.08\", expect_size=\"44684288\"] \n  26 -> 27 [size =\"44684288\"]\n  27 [size=\"58332160\", alpha=\"0.14\", expect_size=\"23332864\"] \n  27 -> 28 [size =\"23332864\"]\n  28 [size=\"53245440\", alpha=\"0.05\", expect_size=\"21298176\"] \n  28 -> 29 [size =\"21298176\"]\n  29 [size=\"126410240\", alpha=\"0.12\", expect_size=\"50564096\"] \n  29 -> 30 [size =\"50564096\"]\n  30 [size=\"43980800\", alpha=\"0.05\", expect_size=\"17592320\"] \n  30 -> 31 [size =\"17592320\"]\n  31 [size=\"88460800\", alpha=\"0.16\", expect_size=\"35384320\"] \n  31 -> 32 [size =\"35384320\"]\n  32 [size=\"21081600\", alpha=\"0.17\", expect_size=\"8432640\"] \n  32 -> 33 [size =\"8432640\"]\n  33 [size=\"91660800\", alpha=\"0.08\", expect_size=\"36664320\"] \n  33 -> 34 [size =\"36664320\"]\n  34 [size=\"84725760\", alpha=\"0.17\", expect_size=\"33890304\"] \n  34 -> 35 [size =\"33890304\"]\n  35 [size=\"128791040\", alpha=\"0.02\", expect_size=\"51516416\"] \n  35 -> 36 [size =\"51516416\"]\n  36 [size=\"128271360\", alpha=\"0.18\", expect_size=\"51308544\"] \n  36 -> 37 [size =\"51308544\"]\n  37 [size=\"55260160\", alpha=\"0.20\", expect_size=\"22104064\"] \n  37 -> 38 [size =\"22104064\"]\n  38 [size=\"17134080\", alpha=\"0.02\", expect_size=\"6853632\"] \n  38 -> 39 [size =\"6853632\"]\n  39 [size=\"45068800\", alpha=\"0.09\", expect_size=\"18027520\"] \n  39 -> 40 [size =\"18027520\"]\n  40 [size=\"114565120\", alpha=\"0.05\", expect_size=\"45826048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117765120\", alpha=\"0.16\", expect_size=\"47106048\"] \n  1 -> 2 [size =\"47106048\"]\n  2 [size=\"110602240\", alpha=\"0.14\", expect_size=\"44240896\"] \n  2 -> 3 [size =\"44240896\"]\n  3 [size=\"106928640\", alpha=\"0.03\", expect_size=\"42771456\"] \n  3 -> 4 [size =\"42771456\"]\n  4 [size=\"82816000\", alpha=\"0.13\", expect_size=\"33126400\"] \n  4 -> 5 [size =\"33126400\"]\n  5 [size=\"47534080\", alpha=\"0.19\", expect_size=\"19013632\"] \n  5 -> 6 [size =\"19013632\"]\n  6 [size=\"50373120\", alpha=\"0.13\", expect_size=\"20149248\"] \n  6 -> 7 [size =\"20149248\"]\n  7 [size=\"53657600\", alpha=\"0.08\", expect_size=\"21463040\"] \n  7 -> 8 [size =\"21463040\"]\n  8 [size=\"62512640\", alpha=\"0.06\", expect_size=\"25005056\"] \n  8 -> 9 [size =\"25005056\"]\n  9 [size=\"104161280\", alpha=\"0.04\", expect_size=\"41664512\"] \n  9 -> 10 [size =\"41664512\"]\n  10 [size=\"79846400\", alpha=\"0.12\", expect_size=\"31938560\"] \n  10 -> 11 [size =\"31938560\"]\n  11 [size=\"13568000\", alpha=\"0.03\", expect_size=\"5427200\"] \n  11 -> 12 [size =\"5427200\"]\n  12 [size=\"107668480\", alpha=\"0.13\", expect_size=\"43067392\"] \n  12 -> 13 [size =\"43067392\"]\n  13 [size=\"71367680\", alpha=\"0.17\", expect_size=\"28547072\"] \n  13 -> 14 [size =\"28547072\"]\n  14 [size=\"88673280\", alpha=\"0.19\", expect_size=\"35469312\"] \n  14 -> 15 [size =\"35469312\"]\n  15 [size=\"49264640\", alpha=\"0.01\", expect_size=\"19705856\"] \n  15 -> 16 [size =\"19705856\"]\n  16 [size=\"44864000\", alpha=\"0.02\", expect_size=\"17945600\"] \n  16 -> 17 [size =\"17945600\"]\n  17 [size=\"119808000\", alpha=\"0.05\", expect_size=\"47923200\"] \n  17 -> 18 [size =\"47923200\"]\n  18 [size=\"51299840\", alpha=\"0.11\", expect_size=\"20519936\"] \n  18 -> 19 [size =\"20519936\"]\n  19 [size=\"87523840\", alpha=\"0.08\", expect_size=\"35009536\"] \n  19 -> 20 [size =\"35009536\"]\n  20 [size=\"108252160\", alpha=\"0.17\", expect_size=\"43300864\"] \n  20 -> 21 [size =\"43300864\"]\n  21 [size=\"62348800\", alpha=\"0.05\", expect_size=\"24939520\"] \n  21 -> 22 [size =\"24939520\"]\n  22 [size=\"78878720\", alpha=\"0.09\", expect_size=\"31551488\"] \n  22 -> 23 [size =\"31551488\"]\n  23 [size=\"36334080\", alpha=\"0.08\", expect_size=\"14533632\"] \n  23 -> 24 [size =\"14533632\"]\n  24 [size=\"18086400\", alpha=\"0.00\", expect_size=\"7234560\"] \n  24 -> 25 [size =\"7234560\"]\n  25 [size=\"128122880\", alpha=\"0.17\", expect_size=\"51249152\"] \n  25 -> 26 [size =\"51249152\"]\n  26 [size=\"17231360\", alpha=\"0.01\", expect_size=\"6892544\"] \n  26 -> 27 [size =\"6892544\"]\n  27 [size=\"29281280\", alpha=\"0.12\", expect_size=\"11712512\"] \n  27 -> 28 [size =\"11712512\"]\n  28 [size=\"58964480\", alpha=\"0.11\", expect_size=\"23585792\"] \n  28 -> 29 [size =\"23585792\"]\n  29 [size=\"123368960\", alpha=\"0.05\", expect_size=\"49347584\"] \n  29 -> 30 [size =\"49347584\"]\n  30 [size=\"50938880\", alpha=\"0.11\", expect_size=\"20375552\"] \n  30 -> 31 [size =\"20375552\"]\n  31 [size=\"35271680\", alpha=\"0.17\", expect_size=\"14108672\"] \n  31 -> 32 [size =\"14108672\"]\n  32 [size=\"63063040\", alpha=\"0.19\", expect_size=\"25225216\"] \n  32 -> 33 [size =\"25225216\"]\n  33 [size=\"113845760\", alpha=\"0.11\", expect_size=\"45538304\"] \n  33 -> 34 [size =\"45538304\"]\n  34 [size=\"45516800\", alpha=\"0.15\", expect_size=\"18206720\"] \n  34 -> 35 [size =\"18206720\"]\n  35 [size=\"45744640\", alpha=\"0.06\", expect_size=\"18297856\"] \n  35 -> 36 [size =\"18297856\"]\n  36 [size=\"30999040\", alpha=\"0.02\", expect_size=\"12399616\"] \n  36 -> 37 [size =\"12399616\"]\n  37 [size=\"38543360\", alpha=\"0.16\", expect_size=\"15417344\"] \n  37 -> 38 [size =\"15417344\"]\n  38 [size=\"108930560\", alpha=\"0.17\", expect_size=\"43572224\"] \n  38 -> 39 [size =\"43572224\"]\n  39 [size=\"55636480\", alpha=\"0.10\", expect_size=\"22254592\"] \n  39 -> 40 [size =\"22254592\"]\n  40 [size=\"87680000\", alpha=\"0.20\", expect_size=\"35072000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65593344\", alpha=\"0.14\", expect_size=\"32796672\"] \n  1 -> 3 [size =\"32796672\"]\n  1 -> 4 [size =\"32796672\"]\n  1 -> 5 [size =\"32796672\"]\n  1 -> 6 [size =\"32796672\"]\n  2 [size=\"78659584\", alpha=\"0.17\", expect_size=\"39329792\"] \n  2 -> 3 [size =\"39329792\"]\n  2 -> 4 [size =\"39329792\"]\n  2 -> 5 [size =\"39329792\"]\n  2 -> 6 [size =\"39329792\"]\n  3 [size=\"54521856\", alpha=\"0.10\", expect_size=\"27260928\"] \n  3 -> 8 [size =\"27260928\"]\n  4 [size=\"48216064\", alpha=\"0.19\", expect_size=\"24108032\"] \n  4 -> 7 [size =\"24108032\"]\n  5 [size=\"41113600\", alpha=\"0.17\", expect_size=\"20556800\"] \n  5 -> 7 [size =\"20556800\"]\n  6 [size=\"65798144\", alpha=\"0.05\", expect_size=\"32899072\"] \n  7 [size=\"23314432\", alpha=\"0.13\", expect_size=\"11657216\"] \n  7 -> 9 [size =\"11657216\"]\n  7 -> 11 [size =\"11657216\"]\n  8 [size=\"101468160\", alpha=\"0.08\", expect_size=\"50734080\"] \n  8 -> 9 [size =\"50734080\"]\n  8 -> 10 [size =\"50734080\"]\n  8 -> 11 [size =\"50734080\"]\n  9 [size=\"94689280\", alpha=\"0.02\", expect_size=\"47344640\"] \n  9 -> 13 [size =\"47344640\"]\n  10 [size=\"71780352\", alpha=\"0.10\", expect_size=\"35890176\"] \n  11 [size=\"15767552\", alpha=\"0.10\", expect_size=\"7883776\"] \n  11 -> 12 [size =\"7883776\"]\n  12 [size=\"82202624\", alpha=\"0.03\", expect_size=\"41101312\"] \n  12 -> 14 [size =\"41101312\"]\n  12 -> 15 [size =\"41101312\"]\n  13 [size=\"66674688\", alpha=\"0.04\", expect_size=\"33337344\"] \n  13 -> 14 [size =\"33337344\"]\n  13 -> 15 [size =\"33337344\"]\n  14 [size=\"20828160\", alpha=\"0.07\", expect_size=\"10414080\"] \n  14 -> 16 [size =\"10414080\"]\n  14 -> 18 [size =\"10414080\"]\n  15 [size=\"16611328\", alpha=\"0.06\", expect_size=\"8305664\"] \n  15 -> 16 [size =\"8305664\"]\n  15 -> 17 [size =\"8305664\"]\n  15 -> 18 [size =\"8305664\"]\n  16 [size=\"96829440\", alpha=\"0.03\", expect_size=\"48414720\"] \n  17 [size=\"25171968\", alpha=\"0.08\", expect_size=\"12585984\"] \n  17 -> 19 [size =\"12585984\"]\n  18 [size=\"84783104\", alpha=\"0.16\", expect_size=\"42391552\"] \n  19 [size=\"27850752\", alpha=\"0.06\", expect_size=\"13925376\"] \n  19 -> 20 [size =\"13925376\"]\n  19 -> 21 [size =\"13925376\"]\n  19 -> 22 [size =\"13925376\"]\n  20 [size=\"36483072\", alpha=\"0.08\", expect_size=\"18241536\"] \n  20 -> 23 [size =\"18241536\"]\n  20 -> 25 [size =\"18241536\"]\n  21 [size=\"82012160\", alpha=\"0.02\", expect_size=\"41006080\"] \n  21 -> 23 [size =\"41006080\"]\n  21 -> 24 [size =\"41006080\"]\n  21 -> 25 [size =\"41006080\"]\n  21 -> 26 [size =\"41006080\"]\n  22 [size=\"32999424\", alpha=\"0.10\", expect_size=\"16499712\"] \n  22 -> 23 [size =\"16499712\"]\n  22 -> 26 [size =\"16499712\"]\n  23 [size=\"48322560\", alpha=\"0.07\", expect_size=\"24161280\"] \n  23 -> 27 [size =\"24161280\"]\n  24 [size=\"69277696\", alpha=\"0.13\", expect_size=\"34638848\"] \n  25 [size=\"101214208\", alpha=\"0.05\", expect_size=\"50607104\"] \n  26 [size=\"33112064\", alpha=\"0.08\", expect_size=\"16556032\"] \n  26 -> 27 [size =\"16556032\"]\n  27 [size=\"47597568\", alpha=\"0.15\", expect_size=\"23798784\"] \n  27 -> 28 [size =\"23798784\"]\n  27 -> 29 [size =\"23798784\"]\n  27 -> 30 [size =\"23798784\"]\n  28 [size=\"83802112\", alpha=\"0.01\", expect_size=\"41901056\"] \n  28 -> 31 [size =\"41901056\"]\n  28 -> 32 [size =\"41901056\"]\n  28 -> 33 [size =\"41901056\"]\n  29 [size=\"62838784\", alpha=\"0.04\", expect_size=\"31419392\"] \n  29 -> 31 [size =\"31419392\"]\n  29 -> 32 [size =\"31419392\"]\n  29 -> 33 [size =\"31419392\"]\n  30 [size=\"90617856\", alpha=\"0.01\", expect_size=\"45308928\"] \n  30 -> 31 [size =\"45308928\"]\n  30 -> 33 [size =\"45308928\"]\n  31 [size=\"33591296\", alpha=\"0.18\", expect_size=\"16795648\"] \n  31 -> 35 [size =\"16795648\"]\n  31 -> 36 [size =\"16795648\"]\n  32 [size=\"41240576\", alpha=\"0.11\", expect_size=\"20620288\"] \n  33 [size=\"87367680\", alpha=\"0.16\", expect_size=\"43683840\"] \n  33 -> 34 [size =\"43683840\"]\n  33 -> 35 [size =\"43683840\"]\n  34 [size=\"27265024\", alpha=\"0.03\", expect_size=\"13632512\"] \n  34 -> 37 [size =\"13632512\"]\n  34 -> 38 [size =\"13632512\"]\n  35 [size=\"87408640\", alpha=\"0.11\", expect_size=\"43704320\"] \n  36 [size=\"15312896\", alpha=\"0.18\", expect_size=\"7656448\"] \n  36 -> 37 [size =\"7656448\"]\n  37 [size=\"55031808\", alpha=\"0.07\", expect_size=\"27515904\"] \n  37 -> 40 [size =\"27515904\"]\n  38 [size=\"30656512\", alpha=\"0.13\", expect_size=\"15328256\"] \n  38 -> 39 [size =\"15328256\"]\n  38 -> 40 [size =\"15328256\"]\n  39 [size=\"33167360\", alpha=\"0.02\", expect_size=\"16583680\"] \n  40 [size=\"52400128\", alpha=\"0.16\", expect_size=\"26200064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83146240\", alpha=\"0.02\", expect_size=\"33258496\"] \n  1 -> 2 [size =\"33258496\"]\n  2 [size=\"96202240\", alpha=\"0.00\", expect_size=\"38480896\"] \n  2 -> 3 [size =\"38480896\"]\n  3 [size=\"130452480\", alpha=\"0.05\", expect_size=\"52180992\"] \n  3 -> 4 [size =\"52180992\"]\n  4 [size=\"40010240\", alpha=\"0.13\", expect_size=\"16004096\"] \n  4 -> 5 [size =\"16004096\"]\n  5 [size=\"56023040\", alpha=\"0.00\", expect_size=\"22409216\"] \n  5 -> 6 [size =\"22409216\"]\n  6 [size=\"47882240\", alpha=\"0.10\", expect_size=\"19152896\"] \n  6 -> 7 [size =\"19152896\"]\n  7 [size=\"59143680\", alpha=\"0.15\", expect_size=\"23657472\"] \n  7 -> 8 [size =\"23657472\"]\n  8 [size=\"100705280\", alpha=\"0.07\", expect_size=\"40282112\"] \n  8 -> 9 [size =\"40282112\"]\n  9 [size=\"97510400\", alpha=\"0.09\", expect_size=\"39004160\"] \n  9 -> 10 [size =\"39004160\"]\n  10 [size=\"78371840\", alpha=\"0.10\", expect_size=\"31348736\"] \n  10 -> 11 [size =\"31348736\"]\n  11 [size=\"75776000\", alpha=\"0.03\", expect_size=\"30310400\"] \n  11 -> 12 [size =\"30310400\"]\n  12 [size=\"85153280\", alpha=\"0.11\", expect_size=\"34061312\"] \n  12 -> 13 [size =\"34061312\"]\n  13 [size=\"87536640\", alpha=\"0.20\", expect_size=\"35014656\"] \n  13 -> 14 [size =\"35014656\"]\n  14 [size=\"116369920\", alpha=\"0.01\", expect_size=\"46547968\"] \n  14 -> 15 [size =\"46547968\"]\n  15 [size=\"77480960\", alpha=\"0.12\", expect_size=\"30992384\"] \n  15 -> 16 [size =\"30992384\"]\n  16 [size=\"78241280\", alpha=\"0.08\", expect_size=\"31296512\"] \n  16 -> 17 [size =\"31296512\"]\n  17 [size=\"19809280\", alpha=\"0.17\", expect_size=\"7923712\"] \n  17 -> 18 [size =\"7923712\"]\n  18 [size=\"106324480\", alpha=\"0.06\", expect_size=\"42529792\"] \n  18 -> 19 [size =\"42529792\"]\n  19 [size=\"32110080\", alpha=\"0.09\", expect_size=\"12844032\"] \n  19 -> 20 [size =\"12844032\"]\n  20 [size=\"82286080\", alpha=\"0.07\", expect_size=\"32914432\"] \n  20 -> 21 [size =\"32914432\"]\n  21 [size=\"20474880\", alpha=\"0.17\", expect_size=\"8189952\"] \n  21 -> 22 [size =\"8189952\"]\n  22 [size=\"35855360\", alpha=\"0.02\", expect_size=\"14342144\"] \n  22 -> 23 [size =\"14342144\"]\n  23 [size=\"100615680\", alpha=\"0.06\", expect_size=\"40246272\"] \n  23 -> 24 [size =\"40246272\"]\n  24 [size=\"98260480\", alpha=\"0.14\", expect_size=\"39304192\"] \n  24 -> 25 [size =\"39304192\"]\n  25 [size=\"102023680\", alpha=\"0.10\", expect_size=\"40809472\"] \n  25 -> 26 [size =\"40809472\"]\n  26 [size=\"52080640\", alpha=\"0.12\", expect_size=\"20832256\"] \n  26 -> 27 [size =\"20832256\"]\n  27 [size=\"101788160\", alpha=\"0.01\", expect_size=\"40715264\"] \n  27 -> 28 [size =\"40715264\"]\n  28 [size=\"86899200\", alpha=\"0.06\", expect_size=\"34759680\"] \n  28 -> 29 [size =\"34759680\"]\n  29 [size=\"125096960\", alpha=\"0.05\", expect_size=\"50038784\"] \n  29 -> 30 [size =\"50038784\"]\n  30 [size=\"61184000\", alpha=\"0.14\", expect_size=\"24473600\"] \n  30 -> 31 [size =\"24473600\"]\n  31 [size=\"104560640\", alpha=\"0.15\", expect_size=\"41824256\"] \n  31 -> 32 [size =\"41824256\"]\n  32 [size=\"89336320\", alpha=\"0.08\", expect_size=\"35734528\"] \n  32 -> 33 [size =\"35734528\"]\n  33 [size=\"98608640\", alpha=\"0.13\", expect_size=\"39443456\"] \n  33 -> 34 [size =\"39443456\"]\n  34 [size=\"13793280\", alpha=\"0.16\", expect_size=\"5517312\"] \n  34 -> 35 [size =\"5517312\"]\n  35 [size=\"97722880\", alpha=\"0.09\", expect_size=\"39089152\"] \n  35 -> 36 [size =\"39089152\"]\n  36 [size=\"39421440\", alpha=\"0.14\", expect_size=\"15768576\"] \n  36 -> 37 [size =\"15768576\"]\n  37 [size=\"109593600\", alpha=\"0.20\", expect_size=\"43837440\"] \n  37 -> 38 [size =\"43837440\"]\n  38 [size=\"118346240\", alpha=\"0.02\", expect_size=\"47338496\"] \n  38 -> 39 [size =\"47338496\"]\n  39 [size=\"35317760\", alpha=\"0.07\", expect_size=\"14127104\"] \n  39 -> 40 [size =\"14127104\"]\n  40 [size=\"62873600\", alpha=\"0.03\", expect_size=\"25149440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98217984\", alpha=\"0.08\", expect_size=\"49108992\"] \n  1 -> 2 [size =\"49108992\"]\n  1 -> 3 [size =\"49108992\"]\n  2 [size=\"34963456\", alpha=\"0.19\", expect_size=\"17481728\"] \n  2 -> 4 [size =\"17481728\"]\n  2 -> 5 [size =\"17481728\"]\n  2 -> 6 [size =\"17481728\"]\n  3 [size=\"65060864\", alpha=\"0.08\", expect_size=\"32530432\"] \n  3 -> 4 [size =\"32530432\"]\n  3 -> 5 [size =\"32530432\"]\n  4 [size=\"65900544\", alpha=\"0.05\", expect_size=\"32950272\"] \n  4 -> 9 [size =\"32950272\"]\n  5 [size=\"98068480\", alpha=\"0.06\", expect_size=\"49034240\"] \n  5 -> 7 [size =\"49034240\"]\n  5 -> 8 [size =\"49034240\"]\n  6 [size=\"92430336\", alpha=\"0.08\", expect_size=\"46215168\"] \n  6 -> 7 [size =\"46215168\"]\n  6 -> 8 [size =\"46215168\"]\n  7 [size=\"20420608\", alpha=\"0.05\", expect_size=\"10210304\"] \n  7 -> 11 [size =\"10210304\"]\n  8 [size=\"94728192\", alpha=\"0.11\", expect_size=\"47364096\"] \n  8 -> 10 [size =\"47364096\"]\n  9 [size=\"55959552\", alpha=\"0.11\", expect_size=\"27979776\"] \n  9 -> 10 [size =\"27979776\"]\n  9 -> 12 [size =\"27979776\"]\n  10 [size=\"20680704\", alpha=\"0.10\", expect_size=\"10340352\"] \n  10 -> 13 [size =\"10340352\"]\n  10 -> 15 [size =\"10340352\"]\n  11 [size=\"102981632\", alpha=\"0.14\", expect_size=\"51490816\"] \n  11 -> 14 [size =\"51490816\"]\n  12 [size=\"44574720\", alpha=\"0.16\", expect_size=\"22287360\"] \n  12 -> 13 [size =\"22287360\"]\n  12 -> 15 [size =\"22287360\"]\n  13 [size=\"39960576\", alpha=\"0.12\", expect_size=\"19980288\"] \n  13 -> 16 [size =\"19980288\"]\n  14 [size=\"78342144\", alpha=\"0.10\", expect_size=\"39171072\"] \n  15 [size=\"103710720\", alpha=\"0.20\", expect_size=\"51855360\"] \n  15 -> 17 [size =\"51855360\"]\n  16 [size=\"38144000\", alpha=\"0.12\", expect_size=\"19072000\"] \n  16 -> 18 [size =\"19072000\"]\n  16 -> 19 [size =\"19072000\"]\n  17 [size=\"77295616\", alpha=\"0.18\", expect_size=\"38647808\"] \n  17 -> 18 [size =\"38647808\"]\n  17 -> 19 [size =\"38647808\"]\n  17 -> 20 [size =\"38647808\"]\n  18 [size=\"100446208\", alpha=\"0.01\", expect_size=\"50223104\"] \n  19 [size=\"59144192\", alpha=\"0.19\", expect_size=\"29572096\"] \n  19 -> 21 [size =\"29572096\"]\n  19 -> 22 [size =\"29572096\"]\n  19 -> 23 [size =\"29572096\"]\n  20 [size=\"17199104\", alpha=\"0.06\", expect_size=\"8599552\"] \n  20 -> 22 [size =\"8599552\"]\n  21 [size=\"62035968\", alpha=\"0.11\", expect_size=\"31017984\"] \n  21 -> 25 [size =\"31017984\"]\n  21 -> 27 [size =\"31017984\"]\n  22 [size=\"32997376\", alpha=\"0.01\", expect_size=\"16498688\"] \n  22 -> 24 [size =\"16498688\"]\n  22 -> 26 [size =\"16498688\"]\n  23 [size=\"16125952\", alpha=\"0.03\", expect_size=\"8062976\"] \n  23 -> 26 [size =\"8062976\"]\n  23 -> 27 [size =\"8062976\"]\n  24 [size=\"70529024\", alpha=\"0.17\", expect_size=\"35264512\"] \n  24 -> 29 [size =\"35264512\"]\n  25 [size=\"21442560\", alpha=\"0.09\", expect_size=\"10721280\"] \n  25 -> 28 [size =\"10721280\"]\n  25 -> 29 [size =\"10721280\"]\n  26 [size=\"19744768\", alpha=\"0.19\", expect_size=\"9872384\"] \n  26 -> 28 [size =\"9872384\"]\n  26 -> 29 [size =\"9872384\"]\n  26 -> 30 [size =\"9872384\"]\n  27 [size=\"74942464\", alpha=\"0.10\", expect_size=\"37471232\"] \n  27 -> 28 [size =\"37471232\"]\n  27 -> 30 [size =\"37471232\"]\n  27 -> 30 [size =\"37471232\"]\n  28 [size=\"67102720\", alpha=\"0.20\", expect_size=\"33551360\"] \n  28 -> 31 [size =\"33551360\"]\n  28 -> 32 [size =\"33551360\"]\n  29 [size=\"72683520\", alpha=\"0.19\", expect_size=\"36341760\"] \n  30 [size=\"68618240\", alpha=\"0.00\", expect_size=\"34309120\"] \n  30 -> 31 [size =\"34309120\"]\n  30 -> 32 [size =\"34309120\"]\n  31 [size=\"95510528\", alpha=\"0.01\", expect_size=\"47755264\"] \n  31 -> 33 [size =\"47755264\"]\n  31 -> 34 [size =\"47755264\"]\n  31 -> 35 [size =\"47755264\"]\n  31 -> 36 [size =\"47755264\"]\n  32 [size=\"52353024\", alpha=\"0.09\", expect_size=\"26176512\"] \n  32 -> 33 [size =\"26176512\"]\n  32 -> 34 [size =\"26176512\"]\n  32 -> 35 [size =\"26176512\"]\n  32 -> 36 [size =\"26176512\"]\n  33 [size=\"57995264\", alpha=\"0.04\", expect_size=\"28997632\"] \n  33 -> 37 [size =\"28997632\"]\n  33 -> 38 [size =\"28997632\"]\n  34 [size=\"72642560\", alpha=\"0.13\", expect_size=\"36321280\"] \n  34 -> 40 [size =\"36321280\"]\n  35 [size=\"57335808\", alpha=\"0.01\", expect_size=\"28667904\"] \n  35 -> 39 [size =\"28667904\"]\n  35 -> 40 [size =\"28667904\"]\n  36 [size=\"99661824\", alpha=\"0.16\", expect_size=\"49830912\"] \n  36 -> 38 [size =\"49830912\"]\n  36 -> 39 [size =\"49830912\"]\n  37 [size=\"92823552\", alpha=\"0.04\", expect_size=\"46411776\"] \n  38 [size=\"46753792\", alpha=\"0.12\", expect_size=\"23376896\"] \n  39 [size=\"45697024\", alpha=\"0.10\", expect_size=\"22848512\"] \n  40 [size=\"40759296\", alpha=\"0.09\", expect_size=\"20379648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20170752\", alpha=\"0.17\", expect_size=\"10085376\"] \n  1 -> 8 [size =\"10085376\"]\n  1 -> 10 [size =\"10085376\"]\n  1 -> 10 [size =\"10085376\"]\n  2 [size=\"35383296\", alpha=\"0.09\", expect_size=\"17691648\"] \n  3 [size=\"58005504\", alpha=\"0.12\", expect_size=\"29002752\"] \n  4 [size=\"58458112\", alpha=\"0.16\", expect_size=\"29229056\"] \n  4 -> 8 [size =\"29229056\"]\n  5 [size=\"52060160\", alpha=\"0.20\", expect_size=\"26030080\"] \n  6 [size=\"83230720\", alpha=\"0.19\", expect_size=\"41615360\"] \n  6 -> 8 [size =\"41615360\"]\n  6 -> 9 [size =\"41615360\"]\n  6 -> 10 [size =\"41615360\"]\n  7 [size=\"96325632\", alpha=\"0.14\", expect_size=\"48162816\"] \n  7 -> 8 [size =\"48162816\"]\n  7 -> 9 [size =\"48162816\"]\n  7 -> 10 [size =\"48162816\"]\n  8 [size=\"70860800\", alpha=\"0.10\", expect_size=\"35430400\"] \n  8 -> 11 [size =\"35430400\"]\n  9 [size=\"74964992\", alpha=\"0.19\", expect_size=\"37482496\"] \n  9 -> 12 [size =\"37482496\"]\n  9 -> 13 [size =\"37482496\"]\n  9 -> 14 [size =\"37482496\"]\n  10 [size=\"90105856\", alpha=\"0.14\", expect_size=\"45052928\"] \n  10 -> 11 [size =\"45052928\"]\n  10 -> 13 [size =\"45052928\"]\n  10 -> 15 [size =\"45052928\"]\n  11 [size=\"80723968\", alpha=\"0.08\", expect_size=\"40361984\"] \n  11 -> 17 [size =\"40361984\"]\n  11 -> 18 [size =\"40361984\"]\n  11 -> 19 [size =\"40361984\"]\n  12 [size=\"64862208\", alpha=\"0.18\", expect_size=\"32431104\"] \n  12 -> 18 [size =\"32431104\"]\n  12 -> 20 [size =\"32431104\"]\n  13 [size=\"12107776\", alpha=\"0.09\", expect_size=\"6053888\"] \n  13 -> 18 [size =\"6053888\"]\n  13 -> 19 [size =\"6053888\"]\n  13 -> 20 [size =\"6053888\"]\n  14 [size=\"68984832\", alpha=\"0.11\", expect_size=\"34492416\"] \n  14 -> 16 [size =\"34492416\"]\n  15 [size=\"50505728\", alpha=\"0.09\", expect_size=\"25252864\"] \n  15 -> 17 [size =\"25252864\"]\n  16 [size=\"50118656\", alpha=\"0.11\", expect_size=\"25059328\"] \n  16 -> 21 [size =\"25059328\"]\n  17 [size=\"47642624\", alpha=\"0.19\", expect_size=\"23821312\"] \n  17 -> 22 [size =\"23821312\"]\n  17 -> 23 [size =\"23821312\"]\n  18 [size=\"19509248\", alpha=\"0.05\", expect_size=\"9754624\"] \n  18 -> 22 [size =\"9754624\"]\n  19 [size=\"65765376\", alpha=\"0.00\", expect_size=\"32882688\"] \n  20 [size=\"61042688\", alpha=\"0.05\", expect_size=\"30521344\"] \n  20 -> 23 [size =\"30521344\"]\n  21 [size=\"31748096\", alpha=\"0.12\", expect_size=\"15874048\"] \n  21 -> 26 [size =\"15874048\"]\n  21 -> 27 [size =\"15874048\"]\n  22 [size=\"67235840\", alpha=\"0.04\", expect_size=\"33617920\"] \n  22 -> 24 [size =\"33617920\"]\n  22 -> 26 [size =\"33617920\"]\n  23 [size=\"59858944\", alpha=\"0.06\", expect_size=\"29929472\"] \n  23 -> 25 [size =\"29929472\"]\n  23 -> 27 [size =\"29929472\"]\n  23 -> 28 [size =\"29929472\"]\n  24 [size=\"104548352\", alpha=\"0.19\", expect_size=\"52274176\"] \n  24 -> 30 [size =\"52274176\"]\n  24 -> 31 [size =\"52274176\"]\n  24 -> 34 [size =\"52274176\"]\n  25 [size=\"64135168\", alpha=\"0.00\", expect_size=\"32067584\"] \n  25 -> 29 [size =\"32067584\"]\n  25 -> 33 [size =\"32067584\"]\n  25 -> 35 [size =\"32067584\"]\n  26 [size=\"11608064\", alpha=\"0.17\", expect_size=\"5804032\"] \n  26 -> 35 [size =\"5804032\"]\n  27 [size=\"65107968\", alpha=\"0.11\", expect_size=\"32553984\"] \n  27 -> 29 [size =\"32553984\"]\n  27 -> 31 [size =\"32553984\"]\n  27 -> 33 [size =\"32553984\"]\n  28 [size=\"59353088\", alpha=\"0.19\", expect_size=\"29676544\"] \n  28 -> 29 [size =\"29676544\"]\n  28 -> 30 [size =\"29676544\"]\n  28 -> 32 [size =\"29676544\"]\n  28 -> 33 [size =\"29676544\"]\n  29 [size=\"82573312\", alpha=\"0.00\", expect_size=\"41286656\"] \n  29 -> 36 [size =\"41286656\"]\n  30 [size=\"84721664\", alpha=\"0.18\", expect_size=\"42360832\"] \n  31 [size=\"15165440\", alpha=\"0.11\", expect_size=\"7582720\"] \n  31 -> 37 [size =\"7582720\"]\n  31 -> 38 [size =\"7582720\"]\n  31 -> 39 [size =\"7582720\"]\n  32 [size=\"72337408\", alpha=\"0.16\", expect_size=\"36168704\"] \n  32 -> 37 [size =\"36168704\"]\n  32 -> 39 [size =\"36168704\"]\n  32 -> 39 [size =\"36168704\"]\n  33 [size=\"92389376\", alpha=\"0.01\", expect_size=\"46194688\"] \n  33 -> 37 [size =\"46194688\"]\n  33 -> 38 [size =\"46194688\"]\n  33 -> 40 [size =\"46194688\"]\n  34 [size=\"28473344\", alpha=\"0.18\", expect_size=\"14236672\"] \n  35 [size=\"22933504\", alpha=\"0.04\", expect_size=\"11466752\"] \n  35 -> 38 [size =\"11466752\"]\n  35 -> 39 [size =\"11466752\"]\n  36 [size=\"22974464\", alpha=\"0.18\", expect_size=\"11487232\"] \n  37 [size=\"101339136\", alpha=\"0.00\", expect_size=\"50669568\"] \n  38 [size=\"60758016\", alpha=\"0.04\", expect_size=\"30379008\"] \n  39 [size=\"55977984\", alpha=\"0.20\", expect_size=\"27988992\"] \n  40 [size=\"57106432\", alpha=\"0.06\", expect_size=\"28553216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127554560\", alpha=\"0.05\", expect_size=\"51021824\"] \n  1 -> 25 [size =\"51021824\"]\n  1 -> 26 [size =\"51021824\"]\n  1 -> 27 [size =\"51021824\"]\n  1 -> 28 [size =\"51021824\"]\n  1 -> 31 [size =\"51021824\"]\n  1 -> 32 [size =\"51021824\"]\n  1 -> 33 [size =\"51021824\"]\n  2 [size=\"76631040\", alpha=\"0.17\", expect_size=\"30652416\"] \n  2 -> 25 [size =\"30652416\"]\n  3 [size=\"32192000\", alpha=\"0.15\", expect_size=\"12876800\"] \n  3 -> 24 [size =\"12876800\"]\n  3 -> 28 [size =\"12876800\"]\n  3 -> 30 [size =\"12876800\"]\n  3 -> 32 [size =\"12876800\"]\n  3 -> 33 [size =\"12876800\"]\n  3 -> 34 [size =\"12876800\"]\n  4 [size=\"98191360\", alpha=\"0.18\", expect_size=\"39276544\"] \n  4 -> 28 [size =\"39276544\"]\n  4 -> 30 [size =\"39276544\"]\n  4 -> 32 [size =\"39276544\"]\n  4 -> 33 [size =\"39276544\"]\n  5 [size=\"88053760\", alpha=\"0.06\", expect_size=\"35221504\"] \n  5 -> 25 [size =\"35221504\"]\n  5 -> 26 [size =\"35221504\"]\n  5 -> 29 [size =\"35221504\"]\n  5 -> 30 [size =\"35221504\"]\n  5 -> 31 [size =\"35221504\"]\n  5 -> 32 [size =\"35221504\"]\n  5 -> 33 [size =\"35221504\"]\n  5 -> 34 [size =\"35221504\"]\n  6 [size=\"73751040\", alpha=\"0.04\", expect_size=\"29500416\"] \n  6 -> 24 [size =\"29500416\"]\n  6 -> 26 [size =\"29500416\"]\n  6 -> 29 [size =\"29500416\"]\n  6 -> 30 [size =\"29500416\"]\n  6 -> 31 [size =\"29500416\"]\n  6 -> 34 [size =\"29500416\"]\n  6 -> 36 [size =\"29500416\"]\n  7 [size=\"114816000\", alpha=\"0.07\", expect_size=\"45926400\"] \n  7 -> 24 [size =\"45926400\"]\n  7 -> 27 [size =\"45926400\"]\n  7 -> 29 [size =\"45926400\"]\n  7 -> 30 [size =\"45926400\"]\n  7 -> 32 [size =\"45926400\"]\n  8 [size=\"55664640\", alpha=\"0.17\", expect_size=\"22265856\"] \n  8 -> 24 [size =\"22265856\"]\n  8 -> 29 [size =\"22265856\"]\n  8 -> 29 [size =\"22265856\"]\n  8 -> 34 [size =\"22265856\"]\n  9 [size=\"118215680\", alpha=\"0.20\", expect_size=\"47286272\"] \n  9 -> 24 [size =\"47286272\"]\n  9 -> 29 [size =\"47286272\"]\n  9 -> 34 [size =\"47286272\"]\n  10 [size=\"52313600\", alpha=\"0.01\", expect_size=\"20925440\"] \n  10 -> 23 [size =\"20925440\"]\n  10 -> 24 [size =\"20925440\"]\n  10 -> 25 [size =\"20925440\"]\n  10 -> 26 [size =\"20925440\"]\n  10 -> 29 [size =\"20925440\"]\n  10 -> 30 [size =\"20925440\"]\n  10 -> 32 [size =\"20925440\"]\n  10 -> 33 [size =\"20925440\"]\n  10 -> 34 [size =\"20925440\"]\n  11 [size=\"91701760\", alpha=\"0.14\", expect_size=\"36680704\"] \n  11 -> 26 [size =\"36680704\"]\n  11 -> 29 [size =\"36680704\"]\n  11 -> 30 [size =\"36680704\"]\n  11 -> 36 [size =\"36680704\"]\n  12 [size=\"121338880\", alpha=\"0.18\", expect_size=\"48535552\"] \n  12 -> 23 [size =\"48535552\"]\n  12 -> 26 [size =\"48535552\"]\n  12 -> 29 [size =\"48535552\"]\n  12 -> 30 [size =\"48535552\"]\n  12 -> 34 [size =\"48535552\"]\n  12 -> 35 [size =\"48535552\"]\n  13 [size=\"105515520\", alpha=\"0.01\", expect_size=\"42206208\"] \n  13 -> 26 [size =\"42206208\"]\n  13 -> 30 [size =\"42206208\"]\n  13 -> 33 [size =\"42206208\"]\n  13 -> 34 [size =\"42206208\"]\n  13 -> 35 [size =\"42206208\"]\n  14 [size=\"76421120\", alpha=\"0.00\", expect_size=\"30568448\"] \n  14 -> 24 [size =\"30568448\"]\n  14 -> 28 [size =\"30568448\"]\n  14 -> 31 [size =\"30568448\"]\n  14 -> 36 [size =\"30568448\"]\n  15 [size=\"66050560\", alpha=\"0.15\", expect_size=\"26420224\"] \n  15 -> 24 [size =\"26420224\"]\n  15 -> 28 [size =\"26420224\"]\n  15 -> 34 [size =\"26420224\"]\n  16 [size=\"99916800\", alpha=\"0.11\", expect_size=\"39966720\"] \n  16 -> 24 [size =\"39966720\"]\n  16 -> 27 [size =\"39966720\"]\n  16 -> 34 [size =\"39966720\"]\n  16 -> 37 [size =\"39966720\"]\n  17 [size=\"126120960\", alpha=\"0.17\", expect_size=\"50448384\"] \n  17 -> 23 [size =\"50448384\"]\n  17 -> 24 [size =\"50448384\"]\n  17 -> 26 [size =\"50448384\"]\n  17 -> 29 [size =\"50448384\"]\n  17 -> 30 [size =\"50448384\"]\n  17 -> 31 [size =\"50448384\"]\n  17 -> 36 [size =\"50448384\"]\n  18 [size=\"46906880\", alpha=\"0.11\", expect_size=\"18762752\"] \n  18 -> 26 [size =\"18762752\"]\n  18 -> 30 [size =\"18762752\"]\n  18 -> 31 [size =\"18762752\"]\n  18 -> 33 [size =\"18762752\"]\n  19 [size=\"28810240\", alpha=\"0.01\", expect_size=\"11524096\"] \n  19 -> 25 [size =\"11524096\"]\n  19 -> 29 [size =\"11524096\"]\n  19 -> 31 [size =\"11524096\"]\n  19 -> 32 [size =\"11524096\"]\n  19 -> 33 [size =\"11524096\"]\n  19 -> 34 [size =\"11524096\"]\n  19 -> 37 [size =\"11524096\"]\n  20 [size=\"28213760\", alpha=\"0.18\", expect_size=\"11285504\"] \n  20 -> 24 [size =\"11285504\"]\n  20 -> 30 [size =\"11285504\"]\n  20 -> 33 [size =\"11285504\"]\n  20 -> 37 [size =\"11285504\"]\n  21 [size=\"35051520\", alpha=\"0.13\", expect_size=\"14020608\"] \n  21 -> 28 [size =\"14020608\"]\n  21 -> 30 [size =\"14020608\"]\n  21 -> 33 [size =\"14020608\"]\n  22 [size=\"119198720\", alpha=\"0.20\", expect_size=\"47679488\"] \n  22 -> 23 [size =\"47679488\"]\n  22 -> 31 [size =\"47679488\"]\n  22 -> 32 [size =\"47679488\"]\n  22 -> 33 [size =\"47679488\"]\n  23 [size=\"106511360\", alpha=\"0.09\", expect_size=\"42604544\"] \n  23 -> 39 [size =\"42604544\"]\n  24 [size=\"110922240\", alpha=\"0.14\", expect_size=\"44368896\"] \n  25 [size=\"112440320\", alpha=\"0.10\", expect_size=\"44976128\"] \n  25 -> 39 [size =\"44976128\"]\n  26 [size=\"83768320\", alpha=\"0.18\", expect_size=\"33507328\"] \n  26 -> 40 [size =\"33507328\"]\n  27 [size=\"28490240\", alpha=\"0.02\", expect_size=\"11396096\"] \n  27 -> 38 [size =\"11396096\"]\n  28 [size=\"127976960\", alpha=\"0.14\", expect_size=\"51190784\"] \n  28 -> 39 [size =\"51190784\"]\n  29 [size=\"77281280\", alpha=\"0.03\", expect_size=\"30912512\"] \n  29 -> 38 [size =\"30912512\"]\n  30 [size=\"84334080\", alpha=\"0.19\", expect_size=\"33733632\"] \n  30 -> 40 [size =\"33733632\"]\n  31 [size=\"69632000\", alpha=\"0.08\", expect_size=\"27852800\"] \n  31 -> 39 [size =\"27852800\"]\n  32 [size=\"29657600\", alpha=\"0.16\", expect_size=\"11863040\"] \n  32 -> 40 [size =\"11863040\"]\n  33 [size=\"27942400\", alpha=\"0.20\", expect_size=\"11176960\"] \n  33 -> 40 [size =\"11176960\"]\n  34 [size=\"83566080\", alpha=\"0.14\", expect_size=\"33426432\"] \n  35 [size=\"45685760\", alpha=\"0.17\", expect_size=\"18274304\"] \n  35 -> 39 [size =\"18274304\"]\n  36 [size=\"107217920\", alpha=\"0.15\", expect_size=\"42887168\"] \n  37 [size=\"92874240\", alpha=\"0.12\", expect_size=\"37149696\"] \n  37 -> 39 [size =\"37149696\"]\n  38 [size=\"104368640\", alpha=\"0.14\", expect_size=\"41747456\"] \n  39 [size=\"66291200\", alpha=\"0.20\", expect_size=\"26516480\"] \n  40 [size=\"83755520\", alpha=\"0.08\", expect_size=\"33502208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21102592\", alpha=\"0.14\", expect_size=\"10551296\"] \n  1 -> 14 [size =\"10551296\"]\n  1 -> 17 [size =\"10551296\"]\n  1 -> 19 [size =\"10551296\"]\n  1 -> 22 [size =\"10551296\"]\n  1 -> 23 [size =\"10551296\"]\n  1 -> 24 [size =\"10551296\"]\n  1 -> 25 [size =\"10551296\"]\n  2 [size=\"35321856\", alpha=\"0.20\", expect_size=\"17660928\"] \n  2 -> 15 [size =\"17660928\"]\n  2 -> 17 [size =\"17660928\"]\n  2 -> 19 [size =\"17660928\"]\n  2 -> 24 [size =\"17660928\"]\n  3 [size=\"42045440\", alpha=\"0.12\", expect_size=\"21022720\"] \n  3 -> 15 [size =\"21022720\"]\n  3 -> 17 [size =\"21022720\"]\n  4 [size=\"13125632\", alpha=\"0.08\", expect_size=\"6562816\"] \n  4 -> 15 [size =\"6562816\"]\n  4 -> 22 [size =\"6562816\"]\n  4 -> 23 [size =\"6562816\"]\n  5 [size=\"63297536\", alpha=\"0.06\", expect_size=\"31648768\"] \n  5 -> 14 [size =\"31648768\"]\n  5 -> 17 [size =\"31648768\"]\n  5 -> 20 [size =\"31648768\"]\n  5 -> 21 [size =\"31648768\"]\n  5 -> 24 [size =\"31648768\"]\n  5 -> 25 [size =\"31648768\"]\n  6 [size=\"96051200\", alpha=\"0.17\", expect_size=\"48025600\"] \n  6 -> 14 [size =\"48025600\"]\n  6 -> 23 [size =\"48025600\"]\n  6 -> 24 [size =\"48025600\"]\n  7 [size=\"55611392\", alpha=\"0.01\", expect_size=\"27805696\"] \n  7 -> 17 [size =\"27805696\"]\n  7 -> 19 [size =\"27805696\"]\n  7 -> 23 [size =\"27805696\"]\n  7 -> 25 [size =\"27805696\"]\n  8 [size=\"41531392\", alpha=\"0.15\", expect_size=\"20765696\"] \n  8 -> 16 [size =\"20765696\"]\n  8 -> 20 [size =\"20765696\"]\n  9 [size=\"85295104\", alpha=\"0.03\", expect_size=\"42647552\"] \n  9 -> 22 [size =\"42647552\"]\n  9 -> 24 [size =\"42647552\"]\n  10 [size=\"64935936\", alpha=\"0.10\", expect_size=\"32467968\"] \n  10 -> 14 [size =\"32467968\"]\n  10 -> 17 [size =\"32467968\"]\n  10 -> 22 [size =\"32467968\"]\n  11 [size=\"59389952\", alpha=\"0.01\", expect_size=\"29694976\"] \n  11 -> 21 [size =\"29694976\"]\n  12 [size=\"30617600\", alpha=\"0.16\", expect_size=\"15308800\"] \n  12 -> 21 [size =\"15308800\"]\n  12 -> 23 [size =\"15308800\"]\n  12 -> 25 [size =\"15308800\"]\n  13 [size=\"28665856\", alpha=\"0.19\", expect_size=\"14332928\"] \n  13 -> 15 [size =\"14332928\"]\n  13 -> 17 [size =\"14332928\"]\n  13 -> 18 [size =\"14332928\"]\n  13 -> 19 [size =\"14332928\"]\n  13 -> 22 [size =\"14332928\"]\n  13 -> 23 [size =\"14332928\"]\n  14 [size=\"83388416\", alpha=\"0.11\", expect_size=\"41694208\"] \n  14 -> 33 [size =\"41694208\"]\n  14 -> 34 [size =\"41694208\"]\n  15 [size=\"26601472\", alpha=\"0.03\", expect_size=\"13300736\"] \n  15 -> 27 [size =\"13300736\"]\n  15 -> 30 [size =\"13300736\"]\n  15 -> 32 [size =\"13300736\"]\n  15 -> 33 [size =\"13300736\"]\n  15 -> 34 [size =\"13300736\"]\n  16 [size=\"56688640\", alpha=\"0.05\", expect_size=\"28344320\"] \n  16 -> 27 [size =\"28344320\"]\n  16 -> 29 [size =\"28344320\"]\n  16 -> 34 [size =\"28344320\"]\n  16 -> 36 [size =\"28344320\"]\n  17 [size=\"44449792\", alpha=\"0.10\", expect_size=\"22224896\"] \n  17 -> 26 [size =\"22224896\"]\n  17 -> 33 [size =\"22224896\"]\n  17 -> 40 [size =\"22224896\"]\n  18 [size=\"51472384\", alpha=\"0.13\", expect_size=\"25736192\"] \n  18 -> 31 [size =\"25736192\"]\n  18 -> 32 [size =\"25736192\"]\n  18 -> 37 [size =\"25736192\"]\n  18 -> 40 [size =\"25736192\"]\n  19 [size=\"29773824\", alpha=\"0.07\", expect_size=\"14886912\"] \n  19 -> 32 [size =\"14886912\"]\n  19 -> 39 [size =\"14886912\"]\n  20 [size=\"41746432\", alpha=\"0.12\", expect_size=\"20873216\"] \n  20 -> 29 [size =\"20873216\"]\n  20 -> 30 [size =\"20873216\"]\n  20 -> 34 [size =\"20873216\"]\n  20 -> 35 [size =\"20873216\"]\n  20 -> 39 [size =\"20873216\"]\n  20 -> 40 [size =\"20873216\"]\n  21 [size=\"90474496\", alpha=\"0.18\", expect_size=\"45237248\"] \n  21 -> 27 [size =\"45237248\"]\n  21 -> 28 [size =\"45237248\"]\n  21 -> 29 [size =\"45237248\"]\n  21 -> 34 [size =\"45237248\"]\n  21 -> 35 [size =\"45237248\"]\n  21 -> 37 [size =\"45237248\"]\n  21 -> 39 [size =\"45237248\"]\n  21 -> 40 [size =\"45237248\"]\n  22 [size=\"94265344\", alpha=\"0.10\", expect_size=\"47132672\"] \n  22 -> 31 [size =\"47132672\"]\n  22 -> 32 [size =\"47132672\"]\n  22 -> 36 [size =\"47132672\"]\n  22 -> 37 [size =\"47132672\"]\n  23 [size=\"76324864\", alpha=\"0.09\", expect_size=\"38162432\"] \n  23 -> 27 [size =\"38162432\"]\n  23 -> 28 [size =\"38162432\"]\n  23 -> 33 [size =\"38162432\"]\n  23 -> 37 [size =\"38162432\"]\n  23 -> 40 [size =\"38162432\"]\n  24 [size=\"73920512\", alpha=\"0.08\", expect_size=\"36960256\"] \n  24 -> 26 [size =\"36960256\"]\n  24 -> 33 [size =\"36960256\"]\n  24 -> 34 [size =\"36960256\"]\n  24 -> 37 [size =\"36960256\"]\n  24 -> 39 [size =\"36960256\"]\n  24 -> 40 [size =\"36960256\"]\n  25 [size=\"31885312\", alpha=\"0.19\", expect_size=\"15942656\"] \n  25 -> 30 [size =\"15942656\"]\n  25 -> 33 [size =\"15942656\"]\n  25 -> 37 [size =\"15942656\"]\n  25 -> 38 [size =\"15942656\"]\n  26 [size=\"47296512\", alpha=\"0.07\", expect_size=\"23648256\"] \n  27 [size=\"72163328\", alpha=\"0.05\", expect_size=\"36081664\"] \n  28 [size=\"23459840\", alpha=\"0.10\", expect_size=\"11729920\"] \n  29 [size=\"86996992\", alpha=\"0.11\", expect_size=\"43498496\"] \n  30 [size=\"25942016\", alpha=\"0.03\", expect_size=\"12971008\"] \n  31 [size=\"80416768\", alpha=\"0.05\", expect_size=\"40208384\"] \n  32 [size=\"72298496\", alpha=\"0.12\", expect_size=\"36149248\"] \n  33 [size=\"26421248\", alpha=\"0.03\", expect_size=\"13210624\"] \n  34 [size=\"68718592\", alpha=\"0.09\", expect_size=\"34359296\"] \n  35 [size=\"13088768\", alpha=\"0.18\", expect_size=\"6544384\"] \n  36 [size=\"101089280\", alpha=\"0.17\", expect_size=\"50544640\"] \n  37 [size=\"40798208\", alpha=\"0.04\", expect_size=\"20399104\"] \n  38 [size=\"66086912\", alpha=\"0.19\", expect_size=\"33043456\"] \n  39 [size=\"19259392\", alpha=\"0.18\", expect_size=\"9629696\"] \n  40 [size=\"69496832\", alpha=\"0.04\", expect_size=\"34748416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152142507\", alpha=\"0.10\", expect_size=\"45642752\"] \n  1 -> 7 [size =\"45642752\"]\n  1 -> 9 [size =\"45642752\"]\n  2 [size=\"45666987\", alpha=\"0.06\", expect_size=\"13700096\"] \n  2 -> 6 [size =\"13700096\"]\n  2 -> 9 [size =\"13700096\"]\n  3 [size=\"124180480\", alpha=\"0.19\", expect_size=\"37254144\"] \n  3 -> 7 [size =\"37254144\"]\n  3 -> 9 [size =\"37254144\"]\n  3 -> 10 [size =\"37254144\"]\n  4 [size=\"169359360\", alpha=\"0.16\", expect_size=\"50807808\"] \n  4 -> 6 [size =\"50807808\"]\n  4 -> 7 [size =\"50807808\"]\n  4 -> 9 [size =\"50807808\"]\n  4 -> 10 [size =\"50807808\"]\n  4 -> 11 [size =\"50807808\"]\n  5 [size=\"82940587\", alpha=\"0.11\", expect_size=\"24882176\"] \n  5 -> 7 [size =\"24882176\"]\n  5 -> 8 [size =\"24882176\"]\n  5 -> 10 [size =\"24882176\"]\n  6 [size=\"114466133\", alpha=\"0.05\", expect_size=\"34339840\"] \n  6 -> 12 [size =\"34339840\"]\n  7 [size=\"38939307\", alpha=\"0.13\", expect_size=\"11681792\"] \n  7 -> 12 [size =\"11681792\"]\n  7 -> 14 [size =\"11681792\"]\n  8 [size=\"151268693\", alpha=\"0.06\", expect_size=\"45380608\"] \n  8 -> 13 [size =\"45380608\"]\n  8 -> 14 [size =\"45380608\"]\n  8 -> 15 [size =\"45380608\"]\n  9 [size=\"34536107\", alpha=\"0.07\", expect_size=\"10360832\"] \n  9 -> 12 [size =\"10360832\"]\n  9 -> 16 [size =\"10360832\"]\n  10 [size=\"152272213\", alpha=\"0.19\", expect_size=\"45681664\"] \n  10 -> 12 [size =\"45681664\"]\n  10 -> 14 [size =\"45681664\"]\n  11 [size=\"149138773\", alpha=\"0.11\", expect_size=\"44741632\"] \n  11 -> 13 [size =\"44741632\"]\n  12 [size=\"70092800\", alpha=\"0.19\", expect_size=\"21027840\"] \n  12 -> 18 [size =\"21027840\"]\n  12 -> 21 [size =\"21027840\"]\n  12 -> 22 [size =\"21027840\"]\n  13 [size=\"120879787\", alpha=\"0.06\", expect_size=\"36263936\"] \n  13 -> 18 [size =\"36263936\"]\n  13 -> 20 [size =\"36263936\"]\n  14 [size=\"116084053\", alpha=\"0.13\", expect_size=\"34825216\"] \n  14 -> 18 [size =\"34825216\"]\n  14 -> 19 [size =\"34825216\"]\n  14 -> 21 [size =\"34825216\"]\n  14 -> 22 [size =\"34825216\"]\n  15 [size=\"81769813\", alpha=\"0.03\", expect_size=\"24530944\"] \n  15 -> 17 [size =\"24530944\"]\n  15 -> 21 [size =\"24530944\"]\n  15 -> 22 [size =\"24530944\"]\n  16 [size=\"171902293\", alpha=\"0.09\", expect_size=\"51570688\"] \n  16 -> 17 [size =\"51570688\"]\n  16 -> 21 [size =\"51570688\"]\n  17 [size=\"57378133\", alpha=\"0.03\", expect_size=\"17213440\"] \n  17 -> 28 [size =\"17213440\"]\n  18 [size=\"161843200\", alpha=\"0.07\", expect_size=\"48552960\"] \n  18 -> 24 [size =\"48552960\"]\n  18 -> 25 [size =\"48552960\"]\n  18 -> 27 [size =\"48552960\"]\n  18 -> 28 [size =\"48552960\"]\n  19 [size=\"49486507\", alpha=\"0.07\", expect_size=\"14845952\"] \n  19 -> 27 [size =\"14845952\"]\n  19 -> 28 [size =\"14845952\"]\n  20 [size=\"101027840\", alpha=\"0.03\", expect_size=\"30308352\"] \n  20 -> 27 [size =\"30308352\"]\n  21 [size=\"94614187\", alpha=\"0.17\", expect_size=\"28384256\"] \n  21 -> 23 [size =\"28384256\"]\n  21 -> 25 [size =\"28384256\"]\n  21 -> 27 [size =\"28384256\"]\n  21 -> 28 [size =\"28384256\"]\n  22 [size=\"22807893\", alpha=\"0.15\", expect_size=\"6842368\"] \n  22 -> 26 [size =\"6842368\"]\n  22 -> 28 [size =\"6842368\"]\n  23 [size=\"170680320\", alpha=\"0.06\", expect_size=\"51204096\"] \n  23 -> 29 [size =\"51204096\"]\n  23 -> 32 [size =\"51204096\"]\n  24 [size=\"62713173\", alpha=\"0.16\", expect_size=\"18813952\"] \n  24 -> 31 [size =\"18813952\"]\n  24 -> 33 [size =\"18813952\"]\n  25 [size=\"165212160\", alpha=\"0.15\", expect_size=\"49563648\"] \n  25 -> 30 [size =\"49563648\"]\n  26 [size=\"32474453\", alpha=\"0.06\", expect_size=\"9742336\"] \n  27 [size=\"104908800\", alpha=\"0.20\", expect_size=\"31472640\"] \n  27 -> 34 [size =\"31472640\"]\n  28 [size=\"126310400\", alpha=\"0.11\", expect_size=\"37893120\"] \n  28 -> 33 [size =\"37893120\"]\n  28 -> 34 [size =\"37893120\"]\n  29 [size=\"27907413\", alpha=\"0.04\", expect_size=\"8372224\"] \n  29 -> 35 [size =\"8372224\"]\n  29 -> 37 [size =\"8372224\"]\n  29 -> 39 [size =\"8372224\"]\n  29 -> 40 [size =\"8372224\"]\n  30 [size=\"79148373\", alpha=\"0.14\", expect_size=\"23744512\"] \n  30 -> 35 [size =\"23744512\"]\n  30 -> 36 [size =\"23744512\"]\n  30 -> 39 [size =\"23744512\"]\n  31 [size=\"105270613\", alpha=\"0.01\", expect_size=\"31581184\"] \n  31 -> 35 [size =\"31581184\"]\n  31 -> 37 [size =\"31581184\"]\n  32 [size=\"83650560\", alpha=\"0.14\", expect_size=\"25095168\"] \n  32 -> 40 [size =\"25095168\"]\n  33 [size=\"42485760\", alpha=\"0.01\", expect_size=\"12745728\"] \n  33 -> 37 [size =\"12745728\"]\n  34 [size=\"88480427\", alpha=\"0.20\", expect_size=\"26544128\"] \n  34 -> 38 [size =\"26544128\"]\n  34 -> 39 [size =\"26544128\"]\n  34 -> 40 [size =\"26544128\"]\n  35 [size=\"58948267\", alpha=\"0.07\", expect_size=\"17684480\"] \n  36 [size=\"19353600\", alpha=\"0.14\", expect_size=\"5806080\"] \n  37 [size=\"66689707\", alpha=\"0.07\", expect_size=\"20006912\"] \n  38 [size=\"65140053\", alpha=\"0.17\", expect_size=\"19542016\"] \n  39 [size=\"148490240\", alpha=\"0.12\", expect_size=\"44547072\"] \n  40 [size=\"19237547\", alpha=\"0.17\", expect_size=\"5771264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30968320\", alpha=\"0.05\", expect_size=\"12387328\"] \n  1 -> 34 [size =\"12387328\"]\n  1 -> 40 [size =\"12387328\"]\n  2 [size=\"22328320\", alpha=\"0.19\", expect_size=\"8931328\"] \n  2 -> 29 [size =\"8931328\"]\n  2 -> 36 [size =\"8931328\"]\n  2 -> 39 [size =\"8931328\"]\n  3 [size=\"95833600\", alpha=\"0.04\", expect_size=\"38333440\"] \n  3 -> 27 [size =\"38333440\"]\n  3 -> 30 [size =\"38333440\"]\n  3 -> 34 [size =\"38333440\"]\n  3 -> 39 [size =\"38333440\"]\n  4 [size=\"98961920\", alpha=\"0.16\", expect_size=\"39584768\"] \n  4 -> 31 [size =\"39584768\"]\n  4 -> 35 [size =\"39584768\"]\n  4 -> 36 [size =\"39584768\"]\n  4 -> 37 [size =\"39584768\"]\n  4 -> 39 [size =\"39584768\"]\n  5 [size=\"115202560\", alpha=\"0.17\", expect_size=\"46081024\"] \n  5 -> 29 [size =\"46081024\"]\n  5 -> 30 [size =\"46081024\"]\n  5 -> 31 [size =\"46081024\"]\n  5 -> 32 [size =\"46081024\"]\n  5 -> 34 [size =\"46081024\"]\n  5 -> 36 [size =\"46081024\"]\n  6 [size=\"116595200\", alpha=\"0.15\", expect_size=\"46638080\"] \n  6 -> 29 [size =\"46638080\"]\n  6 -> 30 [size =\"46638080\"]\n  6 -> 31 [size =\"46638080\"]\n  6 -> 36 [size =\"46638080\"]\n  6 -> 38 [size =\"46638080\"]\n  6 -> 40 [size =\"46638080\"]\n  7 [size=\"91184640\", alpha=\"0.01\", expect_size=\"36473856\"] \n  7 -> 29 [size =\"36473856\"]\n  7 -> 30 [size =\"36473856\"]\n  7 -> 36 [size =\"36473856\"]\n  7 -> 36 [size =\"36473856\"]\n  8 [size=\"20410880\", alpha=\"0.12\", expect_size=\"8164352\"] \n  8 -> 32 [size =\"8164352\"]\n  8 -> 33 [size =\"8164352\"]\n  8 -> 34 [size =\"8164352\"]\n  8 -> 36 [size =\"8164352\"]\n  8 -> 38 [size =\"8164352\"]\n  9 [size=\"85445120\", alpha=\"0.11\", expect_size=\"34178048\"] \n  9 -> 31 [size =\"34178048\"]\n  9 -> 33 [size =\"34178048\"]\n  9 -> 34 [size =\"34178048\"]\n  9 -> 38 [size =\"34178048\"]\n  10 [size=\"58821120\", alpha=\"0.01\", expect_size=\"23528448\"] \n  10 -> 29 [size =\"23528448\"]\n  10 -> 30 [size =\"23528448\"]\n  10 -> 31 [size =\"23528448\"]\n  10 -> 36 [size =\"23528448\"]\n  11 [size=\"122903040\", alpha=\"0.08\", expect_size=\"49161216\"] \n  11 -> 30 [size =\"49161216\"]\n  11 -> 34 [size =\"49161216\"]\n  11 -> 35 [size =\"49161216\"]\n  11 -> 36 [size =\"49161216\"]\n  11 -> 37 [size =\"49161216\"]\n  12 [size=\"35796480\", alpha=\"0.13\", expect_size=\"14318592\"] \n  12 -> 27 [size =\"14318592\"]\n  12 -> 31 [size =\"14318592\"]\n  12 -> 34 [size =\"14318592\"]\n  12 -> 35 [size =\"14318592\"]\n  12 -> 36 [size =\"14318592\"]\n  12 -> 40 [size =\"14318592\"]\n  13 [size=\"30092800\", alpha=\"0.16\", expect_size=\"12037120\"] \n  13 -> 31 [size =\"12037120\"]\n  13 -> 35 [size =\"12037120\"]\n  13 -> 36 [size =\"12037120\"]\n  13 -> 38 [size =\"12037120\"]\n  13 -> 40 [size =\"12037120\"]\n  14 [size=\"54215680\", alpha=\"0.09\", expect_size=\"21686272\"] \n  14 -> 27 [size =\"21686272\"]\n  14 -> 31 [size =\"21686272\"]\n  14 -> 34 [size =\"21686272\"]\n  14 -> 36 [size =\"21686272\"]\n  14 -> 40 [size =\"21686272\"]\n  15 [size=\"29365760\", alpha=\"0.17\", expect_size=\"11746304\"] \n  15 -> 28 [size =\"11746304\"]\n  15 -> 31 [size =\"11746304\"]\n  15 -> 35 [size =\"11746304\"]\n  15 -> 36 [size =\"11746304\"]\n  15 -> 39 [size =\"11746304\"]\n  16 [size=\"128158720\", alpha=\"0.10\", expect_size=\"51263488\"] \n  16 -> 27 [size =\"51263488\"]\n  16 -> 30 [size =\"51263488\"]\n  16 -> 31 [size =\"51263488\"]\n  16 -> 32 [size =\"51263488\"]\n  16 -> 34 [size =\"51263488\"]\n  17 [size=\"98664960\", alpha=\"0.04\", expect_size=\"39465984\"] \n  17 -> 29 [size =\"39465984\"]\n  17 -> 30 [size =\"39465984\"]\n  17 -> 31 [size =\"39465984\"]\n  17 -> 32 [size =\"39465984\"]\n  17 -> 33 [size =\"39465984\"]\n  18 [size=\"102686720\", alpha=\"0.09\", expect_size=\"41074688\"] \n  18 -> 30 [size =\"41074688\"]\n  18 -> 36 [size =\"41074688\"]\n  18 -> 40 [size =\"41074688\"]\n  19 [size=\"56550400\", alpha=\"0.10\", expect_size=\"22620160\"] \n  19 -> 27 [size =\"22620160\"]\n  19 -> 30 [size =\"22620160\"]\n  19 -> 31 [size =\"22620160\"]\n  20 [size=\"121648640\", alpha=\"0.01\", expect_size=\"48659456\"] \n  20 -> 27 [size =\"48659456\"]\n  20 -> 29 [size =\"48659456\"]\n  20 -> 33 [size =\"48659456\"]\n  20 -> 40 [size =\"48659456\"]\n  21 [size=\"125094400\", alpha=\"0.15\", expect_size=\"50037760\"] \n  21 -> 29 [size =\"50037760\"]\n  21 -> 33 [size =\"50037760\"]\n  21 -> 36 [size =\"50037760\"]\n  22 [size=\"56819200\", alpha=\"0.10\", expect_size=\"22727680\"] \n  22 -> 27 [size =\"22727680\"]\n  22 -> 29 [size =\"22727680\"]\n  22 -> 32 [size =\"22727680\"]\n  22 -> 33 [size =\"22727680\"]\n  22 -> 36 [size =\"22727680\"]\n  22 -> 40 [size =\"22727680\"]\n  23 [size=\"130813440\", alpha=\"0.19\", expect_size=\"52325376\"] \n  23 -> 29 [size =\"52325376\"]\n  23 -> 29 [size =\"52325376\"]\n  23 -> 32 [size =\"52325376\"]\n  24 [size=\"107074560\", alpha=\"0.03\", expect_size=\"42829824\"] \n  24 -> 29 [size =\"42829824\"]\n  24 -> 30 [size =\"42829824\"]\n  24 -> 31 [size =\"42829824\"]\n  24 -> 35 [size =\"42829824\"]\n  24 -> 37 [size =\"42829824\"]\n  25 [size=\"39833600\", alpha=\"0.04\", expect_size=\"15933440\"] \n  25 -> 27 [size =\"15933440\"]\n  25 -> 29 [size =\"15933440\"]\n  25 -> 30 [size =\"15933440\"]\n  25 -> 31 [size =\"15933440\"]\n  25 -> 32 [size =\"15933440\"]\n  25 -> 37 [size =\"15933440\"]\n  26 [size=\"19271680\", alpha=\"0.03\", expect_size=\"7708672\"] \n  26 -> 27 [size =\"7708672\"]\n  26 -> 29 [size =\"7708672\"]\n  26 -> 31 [size =\"7708672\"]\n  26 -> 34 [size =\"7708672\"]\n  26 -> 35 [size =\"7708672\"]\n  26 -> 37 [size =\"7708672\"]\n  26 -> 38 [size =\"7708672\"]\n  27 [size=\"78543360\", alpha=\"0.15\", expect_size=\"31417344\"] \n  28 [size=\"101475840\", alpha=\"0.08\", expect_size=\"40590336\"] \n  29 [size=\"35200000\", alpha=\"0.14\", expect_size=\"14080000\"] \n  30 [size=\"95234560\", alpha=\"0.07\", expect_size=\"38093824\"] \n  31 [size=\"100618240\", alpha=\"0.19\", expect_size=\"40247296\"] \n  32 [size=\"69209600\", alpha=\"0.15\", expect_size=\"27683840\"] \n  33 [size=\"128194560\", alpha=\"0.13\", expect_size=\"51277824\"] \n  34 [size=\"124375040\", alpha=\"0.19\", expect_size=\"49750016\"] \n  35 [size=\"25640960\", alpha=\"0.07\", expect_size=\"10256384\"] \n  36 [size=\"52055040\", alpha=\"0.15\", expect_size=\"20822016\"] \n  37 [size=\"71173120\", alpha=\"0.17\", expect_size=\"28469248\"] \n  38 [size=\"43112960\", alpha=\"0.15\", expect_size=\"17245184\"] \n  39 [size=\"93143040\", alpha=\"0.20\", expect_size=\"37257216\"] \n  40 [size=\"57671680\", alpha=\"0.03\", expect_size=\"23068672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43013120\", alpha=\"0.13\", expect_size=\"17205248\"] \n  1 -> 33 [size =\"17205248\"]\n  1 -> 36 [size =\"17205248\"]\n  1 -> 38 [size =\"17205248\"]\n  2 [size=\"73984000\", alpha=\"0.11\", expect_size=\"29593600\"] \n  2 -> 31 [size =\"29593600\"]\n  2 -> 33 [size =\"29593600\"]\n  2 -> 35 [size =\"29593600\"]\n  2 -> 37 [size =\"29593600\"]\n  2 -> 38 [size =\"29593600\"]\n  2 -> 39 [size =\"29593600\"]\n  3 [size=\"49423360\", alpha=\"0.04\", expect_size=\"19769344\"] \n  3 -> 31 [size =\"19769344\"]\n  3 -> 33 [size =\"19769344\"]\n  3 -> 34 [size =\"19769344\"]\n  3 -> 35 [size =\"19769344\"]\n  3 -> 37 [size =\"19769344\"]\n  3 -> 38 [size =\"19769344\"]\n  3 -> 39 [size =\"19769344\"]\n  3 -> 40 [size =\"19769344\"]\n  4 [size=\"18585600\", alpha=\"0.18\", expect_size=\"7434240\"] \n  4 -> 33 [size =\"7434240\"]\n  4 -> 34 [size =\"7434240\"]\n  4 -> 34 [size =\"7434240\"]\n  4 -> 35 [size =\"7434240\"]\n  4 -> 36 [size =\"7434240\"]\n  4 -> 37 [size =\"7434240\"]\n  4 -> 38 [size =\"7434240\"]\n  4 -> 39 [size =\"7434240\"]\n  5 [size=\"53537280\", alpha=\"0.04\", expect_size=\"21414912\"] \n  5 -> 35 [size =\"21414912\"]\n  5 -> 36 [size =\"21414912\"]\n  5 -> 38 [size =\"21414912\"]\n  5 -> 39 [size =\"21414912\"]\n  6 [size=\"119150080\", alpha=\"0.11\", expect_size=\"47660032\"] \n  6 -> 35 [size =\"47660032\"]\n  6 -> 39 [size =\"47660032\"]\n  6 -> 40 [size =\"47660032\"]\n  7 [size=\"107325440\", alpha=\"0.09\", expect_size=\"42930176\"] \n  7 -> 31 [size =\"42930176\"]\n  7 -> 33 [size =\"42930176\"]\n  7 -> 35 [size =\"42930176\"]\n  7 -> 36 [size =\"42930176\"]\n  7 -> 37 [size =\"42930176\"]\n  7 -> 38 [size =\"42930176\"]\n  7 -> 39 [size =\"42930176\"]\n  8 [size=\"47920640\", alpha=\"0.11\", expect_size=\"19168256\"] \n  8 -> 31 [size =\"19168256\"]\n  8 -> 33 [size =\"19168256\"]\n  8 -> 36 [size =\"19168256\"]\n  8 -> 37 [size =\"19168256\"]\n  8 -> 38 [size =\"19168256\"]\n  8 -> 38 [size =\"19168256\"]\n  8 -> 39 [size =\"19168256\"]\n  9 [size=\"15756800\", alpha=\"0.15\", expect_size=\"6302720\"] \n  9 -> 31 [size =\"6302720\"]\n  9 -> 32 [size =\"6302720\"]\n  9 -> 33 [size =\"6302720\"]\n  9 -> 36 [size =\"6302720\"]\n  9 -> 37 [size =\"6302720\"]\n  9 -> 38 [size =\"6302720\"]\n  9 -> 40 [size =\"6302720\"]\n  10 [size=\"72504320\", alpha=\"0.08\", expect_size=\"29001728\"] \n  10 -> 33 [size =\"29001728\"]\n  10 -> 34 [size =\"29001728\"]\n  10 -> 36 [size =\"29001728\"]\n  10 -> 36 [size =\"29001728\"]\n  10 -> 38 [size =\"29001728\"]\n  10 -> 40 [size =\"29001728\"]\n  11 [size=\"115893760\", alpha=\"0.19\", expect_size=\"46357504\"] \n  11 -> 31 [size =\"46357504\"]\n  11 -> 33 [size =\"46357504\"]\n  11 -> 34 [size =\"46357504\"]\n  11 -> 38 [size =\"46357504\"]\n  11 -> 38 [size =\"46357504\"]\n  12 [size=\"72000000\", alpha=\"0.08\", expect_size=\"28800000\"] \n  12 -> 31 [size =\"28800000\"]\n  12 -> 33 [size =\"28800000\"]\n  12 -> 34 [size =\"28800000\"]\n  12 -> 36 [size =\"28800000\"]\n  12 -> 38 [size =\"28800000\"]\n  12 -> 40 [size =\"28800000\"]\n  13 [size=\"17707520\", alpha=\"0.04\", expect_size=\"7083008\"] \n  13 -> 33 [size =\"7083008\"]\n  13 -> 34 [size =\"7083008\"]\n  13 -> 36 [size =\"7083008\"]\n  13 -> 36 [size =\"7083008\"]\n  13 -> 38 [size =\"7083008\"]\n  14 [size=\"43806720\", alpha=\"0.13\", expect_size=\"17522688\"] \n  14 -> 33 [size =\"17522688\"]\n  14 -> 36 [size =\"17522688\"]\n  14 -> 37 [size =\"17522688\"]\n  14 -> 38 [size =\"17522688\"]\n  14 -> 38 [size =\"17522688\"]\n  15 [size=\"30878720\", alpha=\"0.19\", expect_size=\"12351488\"] \n  15 -> 32 [size =\"12351488\"]\n  15 -> 33 [size =\"12351488\"]\n  15 -> 34 [size =\"12351488\"]\n  15 -> 35 [size =\"12351488\"]\n  15 -> 37 [size =\"12351488\"]\n  16 [size=\"54218240\", alpha=\"0.00\", expect_size=\"21687296\"] \n  16 -> 32 [size =\"21687296\"]\n  16 -> 33 [size =\"21687296\"]\n  16 -> 34 [size =\"21687296\"]\n  16 -> 40 [size =\"21687296\"]\n  17 [size=\"121502720\", alpha=\"0.16\", expect_size=\"48601088\"] \n  17 -> 33 [size =\"48601088\"]\n  17 -> 34 [size =\"48601088\"]\n  17 -> 35 [size =\"48601088\"]\n  17 -> 36 [size =\"48601088\"]\n  17 -> 39 [size =\"48601088\"]\n  18 [size=\"54952960\", alpha=\"0.00\", expect_size=\"21981184\"] \n  18 -> 31 [size =\"21981184\"]\n  18 -> 32 [size =\"21981184\"]\n  18 -> 36 [size =\"21981184\"]\n  18 -> 38 [size =\"21981184\"]\n  19 [size=\"121349120\", alpha=\"0.19\", expect_size=\"48539648\"] \n  19 -> 32 [size =\"48539648\"]\n  19 -> 33 [size =\"48539648\"]\n  19 -> 34 [size =\"48539648\"]\n  19 -> 36 [size =\"48539648\"]\n  19 -> 37 [size =\"48539648\"]\n  19 -> 38 [size =\"48539648\"]\n  19 -> 40 [size =\"48539648\"]\n  20 [size=\"89646080\", alpha=\"0.14\", expect_size=\"35858432\"] \n  20 -> 32 [size =\"35858432\"]\n  20 -> 34 [size =\"35858432\"]\n  20 -> 35 [size =\"35858432\"]\n  20 -> 36 [size =\"35858432\"]\n  21 [size=\"21693440\", alpha=\"0.14\", expect_size=\"8677376\"] \n  21 -> 31 [size =\"8677376\"]\n  21 -> 34 [size =\"8677376\"]\n  21 -> 35 [size =\"8677376\"]\n  21 -> 36 [size =\"8677376\"]\n  21 -> 37 [size =\"8677376\"]\n  21 -> 40 [size =\"8677376\"]\n  22 [size=\"16314880\", alpha=\"0.05\", expect_size=\"6525952\"] \n  22 -> 31 [size =\"6525952\"]\n  22 -> 34 [size =\"6525952\"]\n  22 -> 35 [size =\"6525952\"]\n  22 -> 36 [size =\"6525952\"]\n  22 -> 37 [size =\"6525952\"]\n  22 -> 40 [size =\"6525952\"]\n  23 [size=\"61160960\", alpha=\"0.01\", expect_size=\"24464384\"] \n  23 -> 35 [size =\"24464384\"]\n  23 -> 36 [size =\"24464384\"]\n  23 -> 38 [size =\"24464384\"]\n  23 -> 40 [size =\"24464384\"]\n  24 [size=\"86881280\", alpha=\"0.19\", expect_size=\"34752512\"] \n  24 -> 31 [size =\"34752512\"]\n  24 -> 33 [size =\"34752512\"]\n  24 -> 35 [size =\"34752512\"]\n  24 -> 36 [size =\"34752512\"]\n  24 -> 38 [size =\"34752512\"]\n  25 [size=\"45368320\", alpha=\"0.03\", expect_size=\"18147328\"] \n  25 -> 31 [size =\"18147328\"]\n  25 -> 33 [size =\"18147328\"]\n  25 -> 34 [size =\"18147328\"]\n  25 -> 36 [size =\"18147328\"]\n  25 -> 37 [size =\"18147328\"]\n  25 -> 38 [size =\"18147328\"]\n  25 -> 40 [size =\"18147328\"]\n  26 [size=\"40448000\", alpha=\"0.06\", expect_size=\"16179200\"] \n  26 -> 33 [size =\"16179200\"]\n  26 -> 36 [size =\"16179200\"]\n  26 -> 38 [size =\"16179200\"]\n  26 -> 40 [size =\"16179200\"]\n  27 [size=\"42280960\", alpha=\"0.04\", expect_size=\"16912384\"] \n  27 -> 31 [size =\"16912384\"]\n  27 -> 36 [size =\"16912384\"]\n  27 -> 38 [size =\"16912384\"]\n  27 -> 40 [size =\"16912384\"]\n  28 [size=\"19699200\", alpha=\"0.09\", expect_size=\"7879680\"] \n  28 -> 36 [size =\"7879680\"]\n  28 -> 37 [size =\"7879680\"]\n  28 -> 38 [size =\"7879680\"]\n  28 -> 40 [size =\"7879680\"]\n  29 [size=\"19980800\", alpha=\"0.13\", expect_size=\"7992320\"] \n  29 -> 33 [size =\"7992320\"]\n  29 -> 34 [size =\"7992320\"]\n  29 -> 36 [size =\"7992320\"]\n  29 -> 38 [size =\"7992320\"]\n  30 [size=\"14415360\", alpha=\"0.08\", expect_size=\"5766144\"] \n  30 -> 33 [size =\"5766144\"]\n  30 -> 36 [size =\"5766144\"]\n  30 -> 38 [size =\"5766144\"]\n  30 -> 40 [size =\"5766144\"]\n  31 [size=\"97891840\", alpha=\"0.00\", expect_size=\"39156736\"] \n  32 [size=\"64384000\", alpha=\"0.03\", expect_size=\"25753600\"] \n  33 [size=\"92738560\", alpha=\"0.06\", expect_size=\"37095424\"] \n  34 [size=\"101306880\", alpha=\"0.14\", expect_size=\"40522752\"] \n  35 [size=\"95564800\", alpha=\"0.05\", expect_size=\"38225920\"] \n  36 [size=\"115950080\", alpha=\"0.03\", expect_size=\"46380032\"] \n  37 [size=\"32570880\", alpha=\"0.20\", expect_size=\"13028352\"] \n  38 [size=\"57615360\", alpha=\"0.03\", expect_size=\"23046144\"] \n  39 [size=\"107934720\", alpha=\"0.05\", expect_size=\"43173888\"] \n  40 [size=\"68211200\", alpha=\"0.00\", expect_size=\"27284480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50679808\", alpha=\"0.08\", expect_size=\"25339904\"] \n  2 [size=\"99305472\", alpha=\"0.07\", expect_size=\"49652736\"] \n  2 -> 4 [size =\"49652736\"]\n  3 [size=\"13713408\", alpha=\"0.10\", expect_size=\"6856704\"] \n  3 -> 4 [size =\"6856704\"]\n  3 -> 5 [size =\"6856704\"]\n  4 [size=\"51783680\", alpha=\"0.18\", expect_size=\"25891840\"] \n  4 -> 6 [size =\"25891840\"]\n  5 [size=\"22302720\", alpha=\"0.16\", expect_size=\"11151360\"] \n  5 -> 7 [size =\"11151360\"]\n  5 -> 8 [size =\"11151360\"]\n  6 [size=\"40413184\", alpha=\"0.10\", expect_size=\"20206592\"] \n  6 -> 9 [size =\"20206592\"]\n  6 -> 11 [size =\"20206592\"]\n  7 [size=\"86970368\", alpha=\"0.13\", expect_size=\"43485184\"] \n  7 -> 10 [size =\"43485184\"]\n  8 [size=\"98910208\", alpha=\"0.13\", expect_size=\"49455104\"] \n  9 [size=\"74006528\", alpha=\"0.17\", expect_size=\"37003264\"] \n  10 [size=\"25780224\", alpha=\"0.02\", expect_size=\"12890112\"] \n  11 [size=\"30973952\", alpha=\"0.11\", expect_size=\"15486976\"] \n  11 -> 12 [size =\"15486976\"]\n  11 -> 13 [size =\"15486976\"]\n  12 [size=\"67479552\", alpha=\"0.09\", expect_size=\"33739776\"] \n  12 -> 14 [size =\"33739776\"]\n  12 -> 15 [size =\"33739776\"]\n  12 -> 16 [size =\"33739776\"]\n  13 [size=\"98889728\", alpha=\"0.01\", expect_size=\"49444864\"] \n  14 [size=\"52768768\", alpha=\"0.08\", expect_size=\"26384384\"] \n  14 -> 17 [size =\"26384384\"]\n  15 [size=\"43741184\", alpha=\"0.08\", expect_size=\"21870592\"] \n  16 [size=\"25978880\", alpha=\"0.05\", expect_size=\"12989440\"] \n  16 -> 18 [size =\"12989440\"]\n  17 [size=\"71297024\", alpha=\"0.01\", expect_size=\"35648512\"] \n  17 -> 19 [size =\"35648512\"]\n  18 [size=\"35958784\", alpha=\"0.05\", expect_size=\"17979392\"] \n  18 -> 20 [size =\"17979392\"]\n  19 [size=\"95424512\", alpha=\"0.17\", expect_size=\"47712256\"] \n  19 -> 22 [size =\"47712256\"]\n  20 [size=\"82204672\", alpha=\"0.05\", expect_size=\"41102336\"] \n  20 -> 21 [size =\"41102336\"]\n  21 [size=\"90353664\", alpha=\"0.02\", expect_size=\"45176832\"] \n  22 [size=\"45711360\", alpha=\"0.17\", expect_size=\"22855680\"] \n  22 -> 23 [size =\"22855680\"]\n  22 -> 24 [size =\"22855680\"]\n  23 [size=\"85839872\", alpha=\"0.14\", expect_size=\"42919936\"] \n  24 [size=\"92915712\", alpha=\"0.19\", expect_size=\"46457856\"] \n  24 -> 25 [size =\"46457856\"]\n  24 -> 26 [size =\"46457856\"]\n  24 -> 27 [size =\"46457856\"]\n  25 [size=\"37521408\", alpha=\"0.06\", expect_size=\"18760704\"] \n  26 [size=\"74926080\", alpha=\"0.00\", expect_size=\"37463040\"] \n  26 -> 29 [size =\"37463040\"]\n  27 [size=\"97409024\", alpha=\"0.10\", expect_size=\"48704512\"] \n  27 -> 28 [size =\"48704512\"]\n  28 [size=\"100945920\", alpha=\"0.19\", expect_size=\"50472960\"] \n  28 -> 31 [size =\"50472960\"]\n  29 [size=\"30646272\", alpha=\"0.01\", expect_size=\"15323136\"] \n  29 -> 30 [size =\"15323136\"]\n  30 [size=\"15749120\", alpha=\"0.07\", expect_size=\"7874560\"] \n  30 -> 32 [size =\"7874560\"]\n  31 [size=\"39729152\", alpha=\"0.17\", expect_size=\"19864576\"] \n  31 -> 33 [size =\"19864576\"]\n  32 [size=\"48408576\", alpha=\"0.19\", expect_size=\"24204288\"] \n  32 -> 34 [size =\"24204288\"]\n  32 -> 35 [size =\"24204288\"]\n  32 -> 36 [size =\"24204288\"]\n  33 [size=\"36235264\", alpha=\"0.19\", expect_size=\"18117632\"] \n  34 [size=\"100810752\", alpha=\"0.09\", expect_size=\"50405376\"] \n  34 -> 37 [size =\"50405376\"]\n  35 [size=\"94689280\", alpha=\"0.06\", expect_size=\"47344640\"] \n  35 -> 38 [size =\"47344640\"]\n  36 [size=\"29685760\", alpha=\"0.06\", expect_size=\"14842880\"] \n  36 -> 38 [size =\"14842880\"]\n  37 [size=\"30103552\", alpha=\"0.18\", expect_size=\"15051776\"] \n  38 [size=\"78053376\", alpha=\"0.17\", expect_size=\"39026688\"] \n  38 -> 39 [size =\"39026688\"]\n  38 -> 40 [size =\"39026688\"]\n  39 [size=\"73216000\", alpha=\"0.13\", expect_size=\"36608000\"] \n  40 [size=\"79116288\", alpha=\"0.04\", expect_size=\"39558144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18055168\", alpha=\"0.06\", expect_size=\"9027584\"] \n  1 -> 2 [size =\"9027584\"]\n  2 [size=\"68560896\", alpha=\"0.13\", expect_size=\"34280448\"] \n  2 -> 3 [size =\"34280448\"]\n  3 [size=\"35430400\", alpha=\"0.12\", expect_size=\"17715200\"] \n  3 -> 4 [size =\"17715200\"]\n  4 [size=\"19478528\", alpha=\"0.04\", expect_size=\"9739264\"] \n  4 -> 5 [size =\"9739264\"]\n  5 [size=\"67747840\", alpha=\"0.09\", expect_size=\"33873920\"] \n  5 -> 6 [size =\"33873920\"]\n  6 [size=\"31383552\", alpha=\"0.17\", expect_size=\"15691776\"] \n  6 -> 7 [size =\"15691776\"]\n  7 [size=\"100835328\", alpha=\"0.12\", expect_size=\"50417664\"] \n  7 -> 8 [size =\"50417664\"]\n  8 [size=\"27572224\", alpha=\"0.08\", expect_size=\"13786112\"] \n  8 -> 9 [size =\"13786112\"]\n  9 [size=\"92610560\", alpha=\"0.00\", expect_size=\"46305280\"] \n  9 -> 10 [size =\"46305280\"]\n  10 [size=\"101124096\", alpha=\"0.18\", expect_size=\"50562048\"] \n  10 -> 11 [size =\"50562048\"]\n  11 [size=\"65456128\", alpha=\"0.10\", expect_size=\"32728064\"] \n  11 -> 12 [size =\"32728064\"]\n  12 [size=\"95508480\", alpha=\"0.05\", expect_size=\"47754240\"] \n  12 -> 13 [size =\"47754240\"]\n  13 [size=\"60622848\", alpha=\"0.08\", expect_size=\"30311424\"] \n  13 -> 14 [size =\"30311424\"]\n  14 [size=\"21876736\", alpha=\"0.05\", expect_size=\"10938368\"] \n  14 -> 15 [size =\"10938368\"]\n  15 [size=\"38959104\", alpha=\"0.07\", expect_size=\"19479552\"] \n  15 -> 16 [size =\"19479552\"]\n  16 [size=\"82788352\", alpha=\"0.09\", expect_size=\"41394176\"] \n  16 -> 17 [size =\"41394176\"]\n  17 [size=\"66742272\", alpha=\"0.12\", expect_size=\"33371136\"] \n  17 -> 18 [size =\"33371136\"]\n  18 [size=\"28338176\", alpha=\"0.10\", expect_size=\"14169088\"] \n  18 -> 19 [size =\"14169088\"]\n  19 [size=\"63852544\", alpha=\"0.19\", expect_size=\"31926272\"] \n  19 -> 20 [size =\"31926272\"]\n  20 [size=\"66064384\", alpha=\"0.06\", expect_size=\"33032192\"] \n  20 -> 21 [size =\"33032192\"]\n  21 [size=\"55693312\", alpha=\"0.15\", expect_size=\"27846656\"] \n  21 -> 22 [size =\"27846656\"]\n  22 [size=\"104327168\", alpha=\"0.16\", expect_size=\"52163584\"] \n  22 -> 23 [size =\"52163584\"]\n  23 [size=\"32339968\", alpha=\"0.02\", expect_size=\"16169984\"] \n  23 -> 24 [size =\"16169984\"]\n  24 [size=\"68403200\", alpha=\"0.10\", expect_size=\"34201600\"] \n  24 -> 25 [size =\"34201600\"]\n  25 [size=\"91371520\", alpha=\"0.10\", expect_size=\"45685760\"] \n  25 -> 26 [size =\"45685760\"]\n  26 [size=\"30007296\", alpha=\"0.14\", expect_size=\"15003648\"] \n  26 -> 27 [size =\"15003648\"]\n  27 [size=\"70963200\", alpha=\"0.18\", expect_size=\"35481600\"] \n  27 -> 28 [size =\"35481600\"]\n  28 [size=\"34799616\", alpha=\"0.06\", expect_size=\"17399808\"] \n  28 -> 29 [size =\"17399808\"]\n  29 [size=\"84240384\", alpha=\"0.10\", expect_size=\"42120192\"] \n  29 -> 30 [size =\"42120192\"]\n  30 [size=\"80994304\", alpha=\"0.14\", expect_size=\"40497152\"] \n  30 -> 31 [size =\"40497152\"]\n  31 [size=\"16001024\", alpha=\"0.10\", expect_size=\"8000512\"] \n  31 -> 32 [size =\"8000512\"]\n  32 [size=\"85573632\", alpha=\"0.03\", expect_size=\"42786816\"] \n  32 -> 33 [size =\"42786816\"]\n  33 [size=\"64675840\", alpha=\"0.08\", expect_size=\"32337920\"] \n  33 -> 34 [size =\"32337920\"]\n  34 [size=\"72620032\", alpha=\"0.14\", expect_size=\"36310016\"] \n  34 -> 35 [size =\"36310016\"]\n  35 [size=\"24029184\", alpha=\"0.07\", expect_size=\"12014592\"] \n  35 -> 36 [size =\"12014592\"]\n  36 [size=\"70539264\", alpha=\"0.15\", expect_size=\"35269632\"] \n  36 -> 37 [size =\"35269632\"]\n  37 [size=\"44304384\", alpha=\"0.15\", expect_size=\"22152192\"] \n  37 -> 38 [size =\"22152192\"]\n  38 [size=\"35676160\", alpha=\"0.19\", expect_size=\"17838080\"] \n  38 -> 39 [size =\"17838080\"]\n  39 [size=\"61739008\", alpha=\"0.14\", expect_size=\"30869504\"] \n  39 -> 40 [size =\"30869504\"]\n  40 [size=\"15876096\", alpha=\"0.01\", expect_size=\"7938048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104232960\", alpha=\"0.00\", expect_size=\"52116480\"] \n  1 -> 2 [size =\"52116480\"]\n  2 [size=\"88539136\", alpha=\"0.16\", expect_size=\"44269568\"] \n  2 -> 3 [size =\"44269568\"]\n  3 [size=\"94507008\", alpha=\"0.15\", expect_size=\"47253504\"] \n  3 -> 4 [size =\"47253504\"]\n  4 [size=\"67276800\", alpha=\"0.10\", expect_size=\"33638400\"] \n  4 -> 5 [size =\"33638400\"]\n  5 [size=\"30732288\", alpha=\"0.00\", expect_size=\"15366144\"] \n  5 -> 6 [size =\"15366144\"]\n  6 [size=\"84070400\", alpha=\"0.06\", expect_size=\"42035200\"] \n  6 -> 7 [size =\"42035200\"]\n  7 [size=\"47869952\", alpha=\"0.13\", expect_size=\"23934976\"] \n  7 -> 8 [size =\"23934976\"]\n  8 [size=\"42481664\", alpha=\"0.18\", expect_size=\"21240832\"] \n  8 -> 9 [size =\"21240832\"]\n  9 [size=\"43513856\", alpha=\"0.17\", expect_size=\"21756928\"] \n  9 -> 10 [size =\"21756928\"]\n  10 [size=\"29382656\", alpha=\"0.12\", expect_size=\"14691328\"] \n  10 -> 11 [size =\"14691328\"]\n  11 [size=\"75538432\", alpha=\"0.13\", expect_size=\"37769216\"] \n  11 -> 12 [size =\"37769216\"]\n  12 [size=\"75966464\", alpha=\"0.07\", expect_size=\"37983232\"] \n  12 -> 13 [size =\"37983232\"]\n  13 [size=\"56520704\", alpha=\"0.17\", expect_size=\"28260352\"] \n  13 -> 14 [size =\"28260352\"]\n  14 [size=\"35274752\", alpha=\"0.08\", expect_size=\"17637376\"] \n  14 -> 15 [size =\"17637376\"]\n  15 [size=\"82767872\", alpha=\"0.02\", expect_size=\"41383936\"] \n  15 -> 16 [size =\"41383936\"]\n  16 [size=\"84604928\", alpha=\"0.14\", expect_size=\"42302464\"] \n  16 -> 17 [size =\"42302464\"]\n  17 [size=\"17928192\", alpha=\"0.12\", expect_size=\"8964096\"] \n  17 -> 18 [size =\"8964096\"]\n  18 [size=\"81262592\", alpha=\"0.02\", expect_size=\"40631296\"] \n  18 -> 19 [size =\"40631296\"]\n  19 [size=\"71137280\", alpha=\"0.03\", expect_size=\"35568640\"] \n  19 -> 20 [size =\"35568640\"]\n  20 [size=\"56369152\", alpha=\"0.07\", expect_size=\"28184576\"] \n  20 -> 21 [size =\"28184576\"]\n  21 [size=\"18683904\", alpha=\"0.12\", expect_size=\"9341952\"] \n  21 -> 22 [size =\"9341952\"]\n  22 [size=\"78284800\", alpha=\"0.12\", expect_size=\"39142400\"] \n  22 -> 23 [size =\"39142400\"]\n  23 [size=\"17715200\", alpha=\"0.11\", expect_size=\"8857600\"] \n  23 -> 24 [size =\"8857600\"]\n  24 [size=\"99438592\", alpha=\"0.01\", expect_size=\"49719296\"] \n  24 -> 25 [size =\"49719296\"]\n  25 [size=\"43538432\", alpha=\"0.16\", expect_size=\"21769216\"] \n  25 -> 26 [size =\"21769216\"]\n  26 [size=\"52324352\", alpha=\"0.07\", expect_size=\"26162176\"] \n  26 -> 27 [size =\"26162176\"]\n  27 [size=\"24633344\", alpha=\"0.05\", expect_size=\"12316672\"] \n  27 -> 28 [size =\"12316672\"]\n  28 [size=\"80676864\", alpha=\"0.10\", expect_size=\"40338432\"] \n  28 -> 29 [size =\"40338432\"]\n  29 [size=\"89683968\", alpha=\"0.02\", expect_size=\"44841984\"] \n  29 -> 30 [size =\"44841984\"]\n  30 [size=\"104749056\", alpha=\"0.19\", expect_size=\"52374528\"] \n  30 -> 31 [size =\"52374528\"]\n  31 [size=\"45764608\", alpha=\"0.09\", expect_size=\"22882304\"] \n  31 -> 32 [size =\"22882304\"]\n  32 [size=\"100851712\", alpha=\"0.12\", expect_size=\"50425856\"] \n  32 -> 33 [size =\"50425856\"]\n  33 [size=\"64952320\", alpha=\"0.06\", expect_size=\"32476160\"] \n  33 -> 34 [size =\"32476160\"]\n  34 [size=\"22083584\", alpha=\"0.05\", expect_size=\"11041792\"] \n  34 -> 35 [size =\"11041792\"]\n  35 [size=\"29040640\", alpha=\"0.19\", expect_size=\"14520320\"] \n  35 -> 36 [size =\"14520320\"]\n  36 [size=\"11698176\", alpha=\"0.09\", expect_size=\"5849088\"] \n  36 -> 37 [size =\"5849088\"]\n  37 [size=\"43642880\", alpha=\"0.00\", expect_size=\"21821440\"] \n  37 -> 38 [size =\"21821440\"]\n  38 [size=\"67885056\", alpha=\"0.07\", expect_size=\"33942528\"] \n  38 -> 39 [size =\"33942528\"]\n  39 [size=\"22052864\", alpha=\"0.06\", expect_size=\"11026432\"] \n  39 -> 40 [size =\"11026432\"]\n  40 [size=\"33546240\", alpha=\"0.15\", expect_size=\"16773120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24504320\", alpha=\"0.16\", expect_size=\"9801728\"] \n  1 -> 14 [size =\"9801728\"]\n  1 -> 16 [size =\"9801728\"]\n  1 -> 18 [size =\"9801728\"]\n  1 -> 19 [size =\"9801728\"]\n  1 -> 23 [size =\"9801728\"]\n  1 -> 25 [size =\"9801728\"]\n  2 [size=\"59786240\", alpha=\"0.00\", expect_size=\"23914496\"] \n  2 -> 18 [size =\"23914496\"]\n  2 -> 20 [size =\"23914496\"]\n  2 -> 22 [size =\"23914496\"]\n  2 -> 23 [size =\"23914496\"]\n  2 -> 25 [size =\"23914496\"]\n  3 [size=\"47541760\", alpha=\"0.03\", expect_size=\"19016704\"] \n  3 -> 15 [size =\"19016704\"]\n  3 -> 17 [size =\"19016704\"]\n  3 -> 18 [size =\"19016704\"]\n  3 -> 23 [size =\"19016704\"]\n  4 [size=\"48325120\", alpha=\"0.20\", expect_size=\"19330048\"] \n  4 -> 15 [size =\"19330048\"]\n  4 -> 17 [size =\"19330048\"]\n  4 -> 18 [size =\"19330048\"]\n  4 -> 19 [size =\"19330048\"]\n  4 -> 23 [size =\"19330048\"]\n  4 -> 25 [size =\"19330048\"]\n  5 [size=\"30049280\", alpha=\"0.02\", expect_size=\"12019712\"] \n  5 -> 17 [size =\"12019712\"]\n  5 -> 18 [size =\"12019712\"]\n  5 -> 21 [size =\"12019712\"]\n  5 -> 23 [size =\"12019712\"]\n  5 -> 23 [size =\"12019712\"]\n  5 -> 24 [size =\"12019712\"]\n  6 [size=\"55201280\", alpha=\"0.04\", expect_size=\"22080512\"] \n  6 -> 16 [size =\"22080512\"]\n  6 -> 19 [size =\"22080512\"]\n  6 -> 22 [size =\"22080512\"]\n  6 -> 23 [size =\"22080512\"]\n  7 [size=\"77841920\", alpha=\"0.00\", expect_size=\"31136768\"] \n  7 -> 19 [size =\"31136768\"]\n  7 -> 19 [size =\"31136768\"]\n  7 -> 23 [size =\"31136768\"]\n  8 [size=\"58659840\", alpha=\"0.10\", expect_size=\"23463936\"] \n  8 -> 21 [size =\"23463936\"]\n  8 -> 23 [size =\"23463936\"]\n  9 [size=\"126177280\", alpha=\"0.14\", expect_size=\"50470912\"] \n  9 -> 19 [size =\"50470912\"]\n  9 -> 23 [size =\"50470912\"]\n  9 -> 25 [size =\"50470912\"]\n  10 [size=\"73971200\", alpha=\"0.07\", expect_size=\"29588480\"] \n  10 -> 15 [size =\"29588480\"]\n  10 -> 16 [size =\"29588480\"]\n  10 -> 17 [size =\"29588480\"]\n  10 -> 25 [size =\"29588480\"]\n  11 [size=\"25446400\", alpha=\"0.13\", expect_size=\"10178560\"] \n  11 -> 15 [size =\"10178560\"]\n  11 -> 18 [size =\"10178560\"]\n  11 -> 19 [size =\"10178560\"]\n  11 -> 20 [size =\"10178560\"]\n  11 -> 22 [size =\"10178560\"]\n  11 -> 25 [size =\"10178560\"]\n  12 [size=\"121105920\", alpha=\"0.08\", expect_size=\"48442368\"] \n  12 -> 18 [size =\"48442368\"]\n  12 -> 20 [size =\"48442368\"]\n  12 -> 21 [size =\"48442368\"]\n  13 [size=\"122501120\", alpha=\"0.04\", expect_size=\"49000448\"] \n  13 -> 15 [size =\"49000448\"]\n  13 -> 16 [size =\"49000448\"]\n  13 -> 18 [size =\"49000448\"]\n  14 [size=\"20659200\", alpha=\"0.10\", expect_size=\"8263680\"] \n  14 -> 26 [size =\"8263680\"]\n  14 -> 29 [size =\"8263680\"]\n  14 -> 29 [size =\"8263680\"]\n  14 -> 31 [size =\"8263680\"]\n  14 -> 32 [size =\"8263680\"]\n  14 -> 33 [size =\"8263680\"]\n  15 [size=\"18641920\", alpha=\"0.10\", expect_size=\"7456768\"] \n  15 -> 26 [size =\"7456768\"]\n  15 -> 29 [size =\"7456768\"]\n  15 -> 32 [size =\"7456768\"]\n  15 -> 33 [size =\"7456768\"]\n  15 -> 35 [size =\"7456768\"]\n  16 [size=\"30248960\", alpha=\"0.07\", expect_size=\"12099584\"] \n  16 -> 29 [size =\"12099584\"]\n  16 -> 31 [size =\"12099584\"]\n  16 -> 32 [size =\"12099584\"]\n  16 -> 33 [size =\"12099584\"]\n  16 -> 34 [size =\"12099584\"]\n  16 -> 37 [size =\"12099584\"]\n  17 [size=\"56414720\", alpha=\"0.12\", expect_size=\"22565888\"] \n  17 -> 26 [size =\"22565888\"]\n  17 -> 30 [size =\"22565888\"]\n  17 -> 31 [size =\"22565888\"]\n  17 -> 32 [size =\"22565888\"]\n  17 -> 34 [size =\"22565888\"]\n  17 -> 36 [size =\"22565888\"]\n  18 [size=\"59361280\", alpha=\"0.16\", expect_size=\"23744512\"] \n  18 -> 26 [size =\"23744512\"]\n  18 -> 27 [size =\"23744512\"]\n  18 -> 28 [size =\"23744512\"]\n  18 -> 31 [size =\"23744512\"]\n  18 -> 33 [size =\"23744512\"]\n  18 -> 34 [size =\"23744512\"]\n  18 -> 38 [size =\"23744512\"]\n  19 [size=\"119285760\", alpha=\"0.16\", expect_size=\"47714304\"] \n  19 -> 28 [size =\"47714304\"]\n  19 -> 29 [size =\"47714304\"]\n  19 -> 31 [size =\"47714304\"]\n  19 -> 34 [size =\"47714304\"]\n  20 [size=\"80995840\", alpha=\"0.20\", expect_size=\"32398336\"] \n  20 -> 26 [size =\"32398336\"]\n  20 -> 27 [size =\"32398336\"]\n  20 -> 28 [size =\"32398336\"]\n  20 -> 29 [size =\"32398336\"]\n  20 -> 31 [size =\"32398336\"]\n  20 -> 36 [size =\"32398336\"]\n  21 [size=\"122101760\", alpha=\"0.05\", expect_size=\"48840704\"] \n  21 -> 27 [size =\"48840704\"]\n  21 -> 27 [size =\"48840704\"]\n  21 -> 28 [size =\"48840704\"]\n  21 -> 33 [size =\"48840704\"]\n  21 -> 35 [size =\"48840704\"]\n  21 -> 36 [size =\"48840704\"]\n  21 -> 38 [size =\"48840704\"]\n  22 [size=\"78341120\", alpha=\"0.18\", expect_size=\"31336448\"] \n  22 -> 26 [size =\"31336448\"]\n  22 -> 31 [size =\"31336448\"]\n  22 -> 32 [size =\"31336448\"]\n  22 -> 33 [size =\"31336448\"]\n  22 -> 34 [size =\"31336448\"]\n  22 -> 35 [size =\"31336448\"]\n  23 [size=\"122969600\", alpha=\"0.18\", expect_size=\"49187840\"] \n  23 -> 27 [size =\"49187840\"]\n  23 -> 31 [size =\"49187840\"]\n  23 -> 34 [size =\"49187840\"]\n  23 -> 35 [size =\"49187840\"]\n  23 -> 36 [size =\"49187840\"]\n  24 [size=\"30581760\", alpha=\"0.03\", expect_size=\"12232704\"] \n  24 -> 27 [size =\"12232704\"]\n  24 -> 29 [size =\"12232704\"]\n  24 -> 32 [size =\"12232704\"]\n  24 -> 34 [size =\"12232704\"]\n  24 -> 35 [size =\"12232704\"]\n  24 -> 36 [size =\"12232704\"]\n  24 -> 38 [size =\"12232704\"]\n  25 [size=\"88207360\", alpha=\"0.11\", expect_size=\"35282944\"] \n  25 -> 26 [size =\"35282944\"]\n  25 -> 27 [size =\"35282944\"]\n  25 -> 29 [size =\"35282944\"]\n  25 -> 31 [size =\"35282944\"]\n  25 -> 33 [size =\"35282944\"]\n  25 -> 35 [size =\"35282944\"]\n  25 -> 36 [size =\"35282944\"]\n  26 [size=\"28846080\", alpha=\"0.06\", expect_size=\"11538432\"] \n  26 -> 39 [size =\"11538432\"]\n  27 [size=\"72302080\", alpha=\"0.12\", expect_size=\"28920832\"] \n  27 -> 39 [size =\"28920832\"]\n  27 -> 40 [size =\"28920832\"]\n  28 [size=\"28057600\", alpha=\"0.06\", expect_size=\"11223040\"] \n  28 -> 39 [size =\"11223040\"]\n  29 [size=\"124331520\", alpha=\"0.19\", expect_size=\"49732608\"] \n  30 [size=\"102932480\", alpha=\"0.02\", expect_size=\"41172992\"] \n  30 -> 40 [size =\"41172992\"]\n  31 [size=\"101829120\", alpha=\"0.07\", expect_size=\"40731648\"] \n  31 -> 40 [size =\"40731648\"]\n  32 [size=\"14451200\", alpha=\"0.11\", expect_size=\"5780480\"] \n  32 -> 40 [size =\"5780480\"]\n  33 [size=\"123404800\", alpha=\"0.13\", expect_size=\"49361920\"] \n  33 -> 40 [size =\"49361920\"]\n  34 [size=\"109237760\", alpha=\"0.17\", expect_size=\"43695104\"] \n  34 -> 40 [size =\"43695104\"]\n  35 [size=\"125127680\", alpha=\"0.01\", expect_size=\"50051072\"] \n  35 -> 39 [size =\"50051072\"]\n  36 [size=\"70056960\", alpha=\"0.09\", expect_size=\"28022784\"] \n  36 -> 39 [size =\"28022784\"]\n  37 [size=\"104084480\", alpha=\"0.03\", expect_size=\"41633792\"] \n  37 -> 39 [size =\"41633792\"]\n  38 [size=\"56017920\", alpha=\"0.06\", expect_size=\"22407168\"] \n  38 -> 39 [size =\"22407168\"]\n  39 [size=\"89377280\", alpha=\"0.06\", expect_size=\"35750912\"] \n  40 [size=\"81300480\", alpha=\"0.19\", expect_size=\"32520192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59045888\", alpha=\"0.10\", expect_size=\"29522944\"] \n  1 -> 3 [size =\"29522944\"]\n  1 -> 4 [size =\"29522944\"]\n  1 -> 5 [size =\"29522944\"]\n  2 [size=\"75569152\", alpha=\"0.17\", expect_size=\"37784576\"] \n  2 -> 3 [size =\"37784576\"]\n  2 -> 4 [size =\"37784576\"]\n  3 [size=\"101570560\", alpha=\"0.20\", expect_size=\"50785280\"] \n  3 -> 7 [size =\"50785280\"]\n  3 -> 8 [size =\"50785280\"]\n  4 [size=\"44220416\", alpha=\"0.18\", expect_size=\"22110208\"] \n  4 -> 8 [size =\"22110208\"]\n  5 [size=\"72626176\", alpha=\"0.18\", expect_size=\"36313088\"] \n  5 -> 6 [size =\"36313088\"]\n  6 [size=\"98744320\", alpha=\"0.14\", expect_size=\"49372160\"] \n  6 -> 10 [size =\"49372160\"]\n  7 [size=\"73441280\", alpha=\"0.19\", expect_size=\"36720640\"] \n  7 -> 9 [size =\"36720640\"]\n  7 -> 10 [size =\"36720640\"]\n  8 [size=\"29698048\", alpha=\"0.16\", expect_size=\"14849024\"] \n  8 -> 11 [size =\"14849024\"]\n  9 [size=\"94375936\", alpha=\"0.09\", expect_size=\"47187968\"] \n  10 [size=\"41926656\", alpha=\"0.04\", expect_size=\"20963328\"] \n  10 -> 12 [size =\"20963328\"]\n  11 [size=\"33251328\", alpha=\"0.05\", expect_size=\"16625664\"] \n  11 -> 13 [size =\"16625664\"]\n  12 [size=\"79673344\", alpha=\"0.16\", expect_size=\"39836672\"] \n  12 -> 15 [size =\"39836672\"]\n  13 [size=\"64460800\", alpha=\"0.16\", expect_size=\"32230400\"] \n  13 -> 14 [size =\"32230400\"]\n  13 -> 15 [size =\"32230400\"]\n  14 [size=\"63934464\", alpha=\"0.09\", expect_size=\"31967232\"] \n  14 -> 17 [size =\"31967232\"]\n  14 -> 18 [size =\"31967232\"]\n  15 [size=\"55560192\", alpha=\"0.01\", expect_size=\"27780096\"] \n  15 -> 16 [size =\"27780096\"]\n  15 -> 17 [size =\"27780096\"]\n  15 -> 18 [size =\"27780096\"]\n  16 [size=\"48218112\", alpha=\"0.14\", expect_size=\"24109056\"] \n  16 -> 20 [size =\"24109056\"]\n  17 [size=\"20228096\", alpha=\"0.17\", expect_size=\"10114048\"] \n  18 [size=\"13545472\", alpha=\"0.09\", expect_size=\"6772736\"] \n  18 -> 19 [size =\"6772736\"]\n  18 -> 20 [size =\"6772736\"]\n  19 [size=\"88451072\", alpha=\"0.07\", expect_size=\"44225536\"] \n  19 -> 21 [size =\"44225536\"]\n  19 -> 22 [size =\"44225536\"]\n  19 -> 23 [size =\"44225536\"]\n  20 [size=\"37609472\", alpha=\"0.04\", expect_size=\"18804736\"] \n  20 -> 21 [size =\"18804736\"]\n  20 -> 22 [size =\"18804736\"]\n  20 -> 23 [size =\"18804736\"]\n  21 [size=\"58607616\", alpha=\"0.11\", expect_size=\"29303808\"] \n  21 -> 24 [size =\"29303808\"]\n  21 -> 25 [size =\"29303808\"]\n  21 -> 26 [size =\"29303808\"]\n  22 [size=\"83808256\", alpha=\"0.11\", expect_size=\"41904128\"] \n  23 [size=\"64243712\", alpha=\"0.11\", expect_size=\"32121856\"] \n  23 -> 24 [size =\"32121856\"]\n  24 [size=\"45631488\", alpha=\"0.18\", expect_size=\"22815744\"] \n  24 -> 27 [size =\"22815744\"]\n  25 [size=\"85942272\", alpha=\"0.19\", expect_size=\"42971136\"] \n  25 -> 27 [size =\"42971136\"]\n  26 [size=\"92903424\", alpha=\"0.18\", expect_size=\"46451712\"] \n  26 -> 28 [size =\"46451712\"]\n  27 [size=\"66418688\", alpha=\"0.10\", expect_size=\"33209344\"] \n  27 -> 29 [size =\"33209344\"]\n  27 -> 31 [size =\"33209344\"]\n  28 [size=\"50712576\", alpha=\"0.07\", expect_size=\"25356288\"] \n  28 -> 29 [size =\"25356288\"]\n  28 -> 30 [size =\"25356288\"]\n  28 -> 31 [size =\"25356288\"]\n  29 [size=\"92065792\", alpha=\"0.01\", expect_size=\"46032896\"] \n  29 -> 33 [size =\"46032896\"]\n  30 [size=\"31594496\", alpha=\"0.02\", expect_size=\"15797248\"] \n  30 -> 32 [size =\"15797248\"]\n  31 [size=\"49420288\", alpha=\"0.07\", expect_size=\"24710144\"] \n  31 -> 33 [size =\"24710144\"]\n  32 [size=\"99731456\", alpha=\"0.08\", expect_size=\"49865728\"] \n  32 -> 34 [size =\"49865728\"]\n  32 -> 35 [size =\"49865728\"]\n  32 -> 36 [size =\"49865728\"]\n  33 [size=\"58871808\", alpha=\"0.19\", expect_size=\"29435904\"] \n  33 -> 34 [size =\"29435904\"]\n  33 -> 35 [size =\"29435904\"]\n  33 -> 36 [size =\"29435904\"]\n  34 [size=\"17926144\", alpha=\"0.03\", expect_size=\"8963072\"] \n  34 -> 38 [size =\"8963072\"]\n  34 -> 39 [size =\"8963072\"]\n  35 [size=\"10627072\", alpha=\"0.15\", expect_size=\"5313536\"] \n  35 -> 37 [size =\"5313536\"]\n  35 -> 38 [size =\"5313536\"]\n  35 -> 39 [size =\"5313536\"]\n  36 [size=\"99119104\", alpha=\"0.16\", expect_size=\"49559552\"] \n  36 -> 37 [size =\"49559552\"]\n  36 -> 39 [size =\"49559552\"]\n  37 [size=\"88545280\", alpha=\"0.19\", expect_size=\"44272640\"] \n  38 [size=\"41863168\", alpha=\"0.02\", expect_size=\"20931584\"] \n  39 [size=\"72658944\", alpha=\"0.02\", expect_size=\"36329472\"] \n  39 -> 40 [size =\"36329472\"]\n  40 [size=\"76077056\", alpha=\"0.08\", expect_size=\"38038528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83880960\", alpha=\"0.08\", expect_size=\"33552384\"] \n  1 -> 15 [size =\"33552384\"]\n  1 -> 17 [size =\"33552384\"]\n  1 -> 22 [size =\"33552384\"]\n  1 -> 24 [size =\"33552384\"]\n  1 -> 26 [size =\"33552384\"]\n  2 [size=\"126545920\", alpha=\"0.04\", expect_size=\"50618368\"] \n  2 -> 14 [size =\"50618368\"]\n  2 -> 15 [size =\"50618368\"]\n  2 -> 19 [size =\"50618368\"]\n  2 -> 21 [size =\"50618368\"]\n  3 [size=\"55068160\", alpha=\"0.12\", expect_size=\"22027264\"] \n  3 -> 15 [size =\"22027264\"]\n  3 -> 17 [size =\"22027264\"]\n  3 -> 20 [size =\"22027264\"]\n  4 [size=\"54190080\", alpha=\"0.10\", expect_size=\"21676032\"] \n  4 -> 14 [size =\"21676032\"]\n  4 -> 15 [size =\"21676032\"]\n  4 -> 16 [size =\"21676032\"]\n  4 -> 23 [size =\"21676032\"]\n  4 -> 24 [size =\"21676032\"]\n  4 -> 25 [size =\"21676032\"]\n  4 -> 26 [size =\"21676032\"]\n  5 [size=\"68636160\", alpha=\"0.11\", expect_size=\"27454464\"] \n  5 -> 15 [size =\"27454464\"]\n  5 -> 15 [size =\"27454464\"]\n  5 -> 22 [size =\"27454464\"]\n  5 -> 23 [size =\"27454464\"]\n  5 -> 24 [size =\"27454464\"]\n  6 [size=\"70223360\", alpha=\"0.12\", expect_size=\"28089344\"] \n  6 -> 19 [size =\"28089344\"]\n  6 -> 20 [size =\"28089344\"]\n  6 -> 25 [size =\"28089344\"]\n  7 [size=\"69644800\", alpha=\"0.10\", expect_size=\"27857920\"] \n  7 -> 16 [size =\"27857920\"]\n  7 -> 24 [size =\"27857920\"]\n  7 -> 25 [size =\"27857920\"]\n  8 [size=\"22696960\", alpha=\"0.06\", expect_size=\"9078784\"] \n  8 -> 17 [size =\"9078784\"]\n  8 -> 22 [size =\"9078784\"]\n  8 -> 23 [size =\"9078784\"]\n  9 [size=\"102853120\", alpha=\"0.15\", expect_size=\"41141248\"] \n  9 -> 16 [size =\"41141248\"]\n  9 -> 19 [size =\"41141248\"]\n  9 -> 22 [size =\"41141248\"]\n  9 -> 28 [size =\"41141248\"]\n  10 [size=\"76275200\", alpha=\"0.12\", expect_size=\"30510080\"] \n  10 -> 25 [size =\"30510080\"]\n  11 [size=\"25917440\", alpha=\"0.03\", expect_size=\"10366976\"] \n  11 -> 21 [size =\"10366976\"]\n  11 -> 22 [size =\"10366976\"]\n  11 -> 24 [size =\"10366976\"]\n  11 -> 26 [size =\"10366976\"]\n  12 [size=\"73425920\", alpha=\"0.13\", expect_size=\"29370368\"] \n  12 -> 17 [size =\"29370368\"]\n  12 -> 18 [size =\"29370368\"]\n  12 -> 21 [size =\"29370368\"]\n  12 -> 25 [size =\"29370368\"]\n  13 [size=\"98252800\", alpha=\"0.10\", expect_size=\"39301120\"] \n  13 -> 14 [size =\"39301120\"]\n  13 -> 17 [size =\"39301120\"]\n  13 -> 22 [size =\"39301120\"]\n  13 -> 27 [size =\"39301120\"]\n  14 [size=\"49128960\", alpha=\"0.00\", expect_size=\"19651584\"] \n  14 -> 30 [size =\"19651584\"]\n  14 -> 33 [size =\"19651584\"]\n  14 -> 37 [size =\"19651584\"]\n  14 -> 38 [size =\"19651584\"]\n  15 [size=\"105943040\", alpha=\"0.10\", expect_size=\"42377216\"] \n  15 -> 34 [size =\"42377216\"]\n  15 -> 37 [size =\"42377216\"]\n  16 [size=\"50554880\", alpha=\"0.02\", expect_size=\"20221952\"] \n  16 -> 39 [size =\"20221952\"]\n  17 [size=\"118661120\", alpha=\"0.10\", expect_size=\"47464448\"] \n  17 -> 38 [size =\"47464448\"]\n  17 -> 39 [size =\"47464448\"]\n  18 [size=\"60075520\", alpha=\"0.09\", expect_size=\"24030208\"] \n  18 -> 29 [size =\"24030208\"]\n  18 -> 34 [size =\"24030208\"]\n  18 -> 35 [size =\"24030208\"]\n  18 -> 37 [size =\"24030208\"]\n  18 -> 39 [size =\"24030208\"]\n  19 [size=\"97512960\", alpha=\"0.16\", expect_size=\"39005184\"] \n  19 -> 30 [size =\"39005184\"]\n  19 -> 32 [size =\"39005184\"]\n  19 -> 34 [size =\"39005184\"]\n  19 -> 35 [size =\"39005184\"]\n  19 -> 36 [size =\"39005184\"]\n  19 -> 39 [size =\"39005184\"]\n  19 -> 40 [size =\"39005184\"]\n  20 [size=\"68408320\", alpha=\"0.14\", expect_size=\"27363328\"] \n  20 -> 30 [size =\"27363328\"]\n  20 -> 34 [size =\"27363328\"]\n  20 -> 35 [size =\"27363328\"]\n  20 -> 35 [size =\"27363328\"]\n  20 -> 36 [size =\"27363328\"]\n  20 -> 37 [size =\"27363328\"]\n  20 -> 38 [size =\"27363328\"]\n  20 -> 39 [size =\"27363328\"]\n  21 [size=\"23605760\", alpha=\"0.04\", expect_size=\"9442304\"] \n  21 -> 30 [size =\"9442304\"]\n  21 -> 36 [size =\"9442304\"]\n  21 -> 37 [size =\"9442304\"]\n  21 -> 38 [size =\"9442304\"]\n  21 -> 39 [size =\"9442304\"]\n  22 [size=\"40788480\", alpha=\"0.13\", expect_size=\"16315392\"] \n  22 -> 30 [size =\"16315392\"]\n  22 -> 33 [size =\"16315392\"]\n  22 -> 35 [size =\"16315392\"]\n  22 -> 36 [size =\"16315392\"]\n  23 [size=\"115450880\", alpha=\"0.09\", expect_size=\"46180352\"] \n  23 -> 29 [size =\"46180352\"]\n  23 -> 36 [size =\"46180352\"]\n  23 -> 37 [size =\"46180352\"]\n  23 -> 39 [size =\"46180352\"]\n  23 -> 40 [size =\"46180352\"]\n  24 [size=\"54115840\", alpha=\"0.12\", expect_size=\"21646336\"] \n  24 -> 32 [size =\"21646336\"]\n  24 -> 37 [size =\"21646336\"]\n  24 -> 40 [size =\"21646336\"]\n  25 [size=\"56537600\", alpha=\"0.04\", expect_size=\"22615040\"] \n  25 -> 32 [size =\"22615040\"]\n  25 -> 33 [size =\"22615040\"]\n  25 -> 34 [size =\"22615040\"]\n  25 -> 35 [size =\"22615040\"]\n  25 -> 36 [size =\"22615040\"]\n  25 -> 37 [size =\"22615040\"]\n  26 [size=\"113410560\", alpha=\"0.06\", expect_size=\"45364224\"] \n  26 -> 29 [size =\"45364224\"]\n  26 -> 33 [size =\"45364224\"]\n  26 -> 34 [size =\"45364224\"]\n  26 -> 35 [size =\"45364224\"]\n  27 [size=\"125847040\", alpha=\"0.18\", expect_size=\"50338816\"] \n  27 -> 30 [size =\"50338816\"]\n  27 -> 31 [size =\"50338816\"]\n  27 -> 32 [size =\"50338816\"]\n  27 -> 34 [size =\"50338816\"]\n  28 [size=\"67123200\", alpha=\"0.12\", expect_size=\"26849280\"] \n  28 -> 31 [size =\"26849280\"]\n  28 -> 36 [size =\"26849280\"]\n  29 [size=\"117806080\", alpha=\"0.00\", expect_size=\"47122432\"] \n  30 [size=\"95580160\", alpha=\"0.19\", expect_size=\"38232064\"] \n  31 [size=\"60003840\", alpha=\"0.01\", expect_size=\"24001536\"] \n  32 [size=\"81856000\", alpha=\"0.13\", expect_size=\"32742400\"] \n  33 [size=\"38643200\", alpha=\"0.19\", expect_size=\"15457280\"] \n  34 [size=\"90296320\", alpha=\"0.11\", expect_size=\"36118528\"] \n  35 [size=\"41971200\", alpha=\"0.19\", expect_size=\"16788480\"] \n  36 [size=\"67159040\", alpha=\"0.13\", expect_size=\"26863616\"] \n  37 [size=\"105016320\", alpha=\"0.05\", expect_size=\"42006528\"] \n  38 [size=\"94113280\", alpha=\"0.06\", expect_size=\"37645312\"] \n  39 [size=\"44044800\", alpha=\"0.00\", expect_size=\"17617920\"] \n  40 [size=\"44554240\", alpha=\"0.04\", expect_size=\"17821696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127974400\", alpha=\"0.07\", expect_size=\"51189760\"] \n  1 -> 7 [size =\"51189760\"]\n  2 [size=\"70799360\", alpha=\"0.10\", expect_size=\"28319744\"] \n  2 -> 8 [size =\"28319744\"]\n  3 [size=\"41610240\", alpha=\"0.07\", expect_size=\"16644096\"] \n  3 -> 7 [size =\"16644096\"]\n  3 -> 9 [size =\"16644096\"]\n  3 -> 11 [size =\"16644096\"]\n  4 [size=\"80284160\", alpha=\"0.10\", expect_size=\"32113664\"] \n  4 -> 7 [size =\"32113664\"]\n  4 -> 9 [size =\"32113664\"]\n  4 -> 10 [size =\"32113664\"]\n  4 -> 11 [size =\"32113664\"]\n  5 [size=\"91658240\", alpha=\"0.07\", expect_size=\"36663296\"] \n  5 -> 7 [size =\"36663296\"]\n  5 -> 9 [size =\"36663296\"]\n  6 [size=\"42219520\", alpha=\"0.06\", expect_size=\"16887808\"] \n  6 -> 8 [size =\"16887808\"]\n  6 -> 9 [size =\"16887808\"]\n  6 -> 11 [size =\"16887808\"]\n  7 [size=\"76456960\", alpha=\"0.07\", expect_size=\"30582784\"] \n  7 -> 15 [size =\"30582784\"]\n  8 [size=\"44469760\", alpha=\"0.07\", expect_size=\"17787904\"] \n  8 -> 12 [size =\"17787904\"]\n  8 -> 13 [size =\"17787904\"]\n  8 -> 14 [size =\"17787904\"]\n  9 [size=\"82606080\", alpha=\"0.04\", expect_size=\"33042432\"] \n  9 -> 12 [size =\"33042432\"]\n  9 -> 13 [size =\"33042432\"]\n  9 -> 14 [size =\"33042432\"]\n  9 -> 15 [size =\"33042432\"]\n  9 -> 16 [size =\"33042432\"]\n  10 [size=\"122065920\", alpha=\"0.19\", expect_size=\"48826368\"] \n  10 -> 12 [size =\"48826368\"]\n  10 -> 14 [size =\"48826368\"]\n  10 -> 14 [size =\"48826368\"]\n  10 -> 16 [size =\"48826368\"]\n  11 [size=\"72276480\", alpha=\"0.16\", expect_size=\"28910592\"] \n  11 -> 12 [size =\"28910592\"]\n  12 [size=\"111482880\", alpha=\"0.11\", expect_size=\"44593152\"] \n  12 -> 17 [size =\"44593152\"]\n  12 -> 18 [size =\"44593152\"]\n  12 -> 19 [size =\"44593152\"]\n  12 -> 21 [size =\"44593152\"]\n  12 -> 22 [size =\"44593152\"]\n  13 [size=\"53539840\", alpha=\"0.08\", expect_size=\"21415936\"] \n  13 -> 18 [size =\"21415936\"]\n  13 -> 18 [size =\"21415936\"]\n  13 -> 19 [size =\"21415936\"]\n  13 -> 20 [size =\"21415936\"]\n  13 -> 21 [size =\"21415936\"]\n  13 -> 22 [size =\"21415936\"]\n  14 [size=\"97651200\", alpha=\"0.15\", expect_size=\"39060480\"] \n  14 -> 19 [size =\"39060480\"]\n  14 -> 22 [size =\"39060480\"]\n  15 [size=\"39728640\", alpha=\"0.04\", expect_size=\"15891456\"] \n  15 -> 20 [size =\"15891456\"]\n  15 -> 21 [size =\"15891456\"]\n  15 -> 22 [size =\"15891456\"]\n  16 [size=\"82892800\", alpha=\"0.13\", expect_size=\"33157120\"] \n  16 -> 17 [size =\"33157120\"]\n  16 -> 18 [size =\"33157120\"]\n  16 -> 19 [size =\"33157120\"]\n  16 -> 20 [size =\"33157120\"]\n  16 -> 21 [size =\"33157120\"]\n  17 [size=\"119534080\", alpha=\"0.09\", expect_size=\"47813632\"] \n  17 -> 24 [size =\"47813632\"]\n  17 -> 25 [size =\"47813632\"]\n  17 -> 26 [size =\"47813632\"]\n  18 [size=\"41372160\", alpha=\"0.12\", expect_size=\"16548864\"] \n  19 [size=\"80322560\", alpha=\"0.03\", expect_size=\"32129024\"] \n  19 -> 25 [size =\"32129024\"]\n  20 [size=\"104087040\", alpha=\"0.07\", expect_size=\"41634816\"] \n  20 -> 23 [size =\"41634816\"]\n  20 -> 24 [size =\"41634816\"]\n  20 -> 25 [size =\"41634816\"]\n  20 -> 27 [size =\"41634816\"]\n  21 [size=\"99256320\", alpha=\"0.10\", expect_size=\"39702528\"] \n  21 -> 25 [size =\"39702528\"]\n  21 -> 27 [size =\"39702528\"]\n  22 [size=\"77166080\", alpha=\"0.04\", expect_size=\"30866432\"] \n  22 -> 23 [size =\"30866432\"]\n  22 -> 24 [size =\"30866432\"]\n  22 -> 25 [size =\"30866432\"]\n  23 [size=\"25077760\", alpha=\"0.02\", expect_size=\"10031104\"] \n  24 [size=\"70428160\", alpha=\"0.11\", expect_size=\"28171264\"] \n  24 -> 29 [size =\"28171264\"]\n  24 -> 33 [size =\"28171264\"]\n  25 [size=\"42270720\", alpha=\"0.14\", expect_size=\"16908288\"] \n  26 [size=\"66670080\", alpha=\"0.02\", expect_size=\"26668032\"] \n  27 [size=\"26362880\", alpha=\"0.01\", expect_size=\"10545152\"] \n  27 -> 28 [size =\"10545152\"]\n  27 -> 29 [size =\"10545152\"]\n  27 -> 30 [size =\"10545152\"]\n  27 -> 31 [size =\"10545152\"]\n  27 -> 32 [size =\"10545152\"]\n  28 [size=\"80381440\", alpha=\"0.04\", expect_size=\"32152576\"] \n  28 -> 35 [size =\"32152576\"]\n  28 -> 36 [size =\"32152576\"]\n  28 -> 37 [size =\"32152576\"]\n  28 -> 39 [size =\"32152576\"]\n  29 [size=\"34229760\", alpha=\"0.00\", expect_size=\"13691904\"] \n  29 -> 34 [size =\"13691904\"]\n  29 -> 35 [size =\"13691904\"]\n  29 -> 37 [size =\"13691904\"]\n  29 -> 39 [size =\"13691904\"]\n  30 [size=\"51340800\", alpha=\"0.14\", expect_size=\"20536320\"] \n  30 -> 34 [size =\"20536320\"]\n  30 -> 36 [size =\"20536320\"]\n  31 [size=\"92318720\", alpha=\"0.18\", expect_size=\"36927488\"] \n  31 -> 34 [size =\"36927488\"]\n  31 -> 37 [size =\"36927488\"]\n  31 -> 39 [size =\"36927488\"]\n  32 [size=\"36103680\", alpha=\"0.19\", expect_size=\"14441472\"] \n  32 -> 36 [size =\"14441472\"]\n  32 -> 37 [size =\"14441472\"]\n  32 -> 38 [size =\"14441472\"]\n  33 [size=\"58355200\", alpha=\"0.07\", expect_size=\"23342080\"] \n  33 -> 36 [size =\"23342080\"]\n  33 -> 38 [size =\"23342080\"]\n  34 [size=\"69614080\", alpha=\"0.09\", expect_size=\"27845632\"] \n  34 -> 40 [size =\"27845632\"]\n  35 [size=\"19089920\", alpha=\"0.15\", expect_size=\"7635968\"] \n  35 -> 40 [size =\"7635968\"]\n  36 [size=\"103301120\", alpha=\"0.14\", expect_size=\"41320448\"] \n  36 -> 40 [size =\"41320448\"]\n  37 [size=\"115435520\", alpha=\"0.10\", expect_size=\"46174208\"] \n  37 -> 40 [size =\"46174208\"]\n  38 [size=\"118842880\", alpha=\"0.11\", expect_size=\"47537152\"] \n  39 [size=\"26920960\", alpha=\"0.04\", expect_size=\"10768384\"] \n  40 [size=\"27141120\", alpha=\"0.12\", expect_size=\"10856448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28549120\", alpha=\"0.11\", expect_size=\"11419648\"] \n  1 -> 2 [size =\"11419648\"]\n  2 [size=\"127710720\", alpha=\"0.15\", expect_size=\"51084288\"] \n  2 -> 3 [size =\"51084288\"]\n  3 [size=\"27706880\", alpha=\"0.07\", expect_size=\"11082752\"] \n  3 -> 4 [size =\"11082752\"]\n  4 [size=\"43668480\", alpha=\"0.06\", expect_size=\"17467392\"] \n  4 -> 5 [size =\"17467392\"]\n  5 [size=\"119808000\", alpha=\"0.00\", expect_size=\"47923200\"] \n  5 -> 6 [size =\"47923200\"]\n  6 [size=\"102100480\", alpha=\"0.17\", expect_size=\"40840192\"] \n  6 -> 7 [size =\"40840192\"]\n  7 [size=\"49968640\", alpha=\"0.08\", expect_size=\"19987456\"] \n  7 -> 8 [size =\"19987456\"]\n  8 [size=\"119237120\", alpha=\"0.07\", expect_size=\"47694848\"] \n  8 -> 9 [size =\"47694848\"]\n  9 [size=\"81285120\", alpha=\"0.08\", expect_size=\"32514048\"] \n  9 -> 10 [size =\"32514048\"]\n  10 [size=\"48468480\", alpha=\"0.04\", expect_size=\"19387392\"] \n  10 -> 11 [size =\"19387392\"]\n  11 [size=\"37949440\", alpha=\"0.17\", expect_size=\"15179776\"] \n  11 -> 12 [size =\"15179776\"]\n  12 [size=\"101619200\", alpha=\"0.14\", expect_size=\"40647680\"] \n  12 -> 13 [size =\"40647680\"]\n  13 [size=\"70799360\", alpha=\"0.13\", expect_size=\"28319744\"] \n  13 -> 14 [size =\"28319744\"]\n  14 [size=\"112652800\", alpha=\"0.15\", expect_size=\"45061120\"] \n  14 -> 15 [size =\"45061120\"]\n  15 [size=\"29824000\", alpha=\"0.10\", expect_size=\"11929600\"] \n  15 -> 16 [size =\"11929600\"]\n  16 [size=\"31567360\", alpha=\"0.20\", expect_size=\"12626944\"] \n  16 -> 17 [size =\"12626944\"]\n  17 [size=\"16701440\", alpha=\"0.13\", expect_size=\"6680576\"] \n  17 -> 18 [size =\"6680576\"]\n  18 [size=\"60966400\", alpha=\"0.08\", expect_size=\"24386560\"] \n  18 -> 19 [size =\"24386560\"]\n  19 [size=\"102067200\", alpha=\"0.18\", expect_size=\"40826880\"] \n  19 -> 20 [size =\"40826880\"]\n  20 [size=\"29834240\", alpha=\"0.18\", expect_size=\"11933696\"] \n  20 -> 21 [size =\"11933696\"]\n  21 [size=\"51010560\", alpha=\"0.19\", expect_size=\"20404224\"] \n  21 -> 22 [size =\"20404224\"]\n  22 [size=\"31541760\", alpha=\"0.01\", expect_size=\"12616704\"] \n  22 -> 23 [size =\"12616704\"]\n  23 [size=\"113896960\", alpha=\"0.05\", expect_size=\"45558784\"] \n  23 -> 24 [size =\"45558784\"]\n  24 [size=\"72826880\", alpha=\"0.14\", expect_size=\"29130752\"] \n  24 -> 25 [size =\"29130752\"]\n  25 [size=\"43320320\", alpha=\"0.01\", expect_size=\"17328128\"] \n  25 -> 26 [size =\"17328128\"]\n  26 [size=\"103531520\", alpha=\"0.03\", expect_size=\"41412608\"] \n  26 -> 27 [size =\"41412608\"]\n  27 [size=\"101271040\", alpha=\"0.11\", expect_size=\"40508416\"] \n  27 -> 28 [size =\"40508416\"]\n  28 [size=\"58447360\", alpha=\"0.17\", expect_size=\"23378944\"] \n  28 -> 29 [size =\"23378944\"]\n  29 [size=\"105640960\", alpha=\"0.15\", expect_size=\"42256384\"] \n  29 -> 30 [size =\"42256384\"]\n  30 [size=\"95718400\", alpha=\"0.19\", expect_size=\"38287360\"] \n  30 -> 31 [size =\"38287360\"]\n  31 [size=\"81431040\", alpha=\"0.08\", expect_size=\"32572416\"] \n  31 -> 32 [size =\"32572416\"]\n  32 [size=\"78223360\", alpha=\"0.11\", expect_size=\"31289344\"] \n  32 -> 33 [size =\"31289344\"]\n  33 [size=\"82736640\", alpha=\"0.04\", expect_size=\"33094656\"] \n  33 -> 34 [size =\"33094656\"]\n  34 [size=\"109570560\", alpha=\"0.13\", expect_size=\"43828224\"] \n  34 -> 35 [size =\"43828224\"]\n  35 [size=\"71321600\", alpha=\"0.06\", expect_size=\"28528640\"] \n  35 -> 36 [size =\"28528640\"]\n  36 [size=\"74690560\", alpha=\"0.02\", expect_size=\"29876224\"] \n  36 -> 37 [size =\"29876224\"]\n  37 [size=\"90711040\", alpha=\"0.18\", expect_size=\"36284416\"] \n  37 -> 38 [size =\"36284416\"]\n  38 [size=\"38274560\", alpha=\"0.03\", expect_size=\"15309824\"] \n  38 -> 39 [size =\"15309824\"]\n  39 [size=\"23516160\", alpha=\"0.02\", expect_size=\"9406464\"] \n  39 -> 40 [size =\"9406464\"]\n  40 [size=\"114613760\", alpha=\"0.05\", expect_size=\"45845504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144493227\", alpha=\"0.03\", expect_size=\"43347968\"] \n  1 -> 12 [size =\"43347968\"]\n  1 -> 15 [size =\"43347968\"]\n  2 [size=\"86521173\", alpha=\"0.01\", expect_size=\"25956352\"] \n  2 -> 12 [size =\"25956352\"]\n  2 -> 15 [size =\"25956352\"]\n  2 -> 17 [size =\"25956352\"]\n  2 -> 18 [size =\"25956352\"]\n  3 [size=\"160440320\", alpha=\"0.19\", expect_size=\"48132096\"] \n  3 -> 12 [size =\"48132096\"]\n  3 -> 13 [size =\"48132096\"]\n  3 -> 18 [size =\"48132096\"]\n  3 -> 19 [size =\"48132096\"]\n  4 [size=\"84138667\", alpha=\"0.00\", expect_size=\"25241600\"] \n  4 -> 12 [size =\"25241600\"]\n  4 -> 15 [size =\"25241600\"]\n  5 [size=\"147650560\", alpha=\"0.08\", expect_size=\"44295168\"] \n  5 -> 16 [size =\"44295168\"]\n  5 -> 18 [size =\"44295168\"]\n  6 [size=\"65382400\", alpha=\"0.18\", expect_size=\"19614720\"] \n  7 [size=\"173076480\", alpha=\"0.16\", expect_size=\"51922944\"] \n  7 -> 14 [size =\"51922944\"]\n  7 -> 15 [size =\"51922944\"]\n  7 -> 18 [size =\"51922944\"]\n  7 -> 19 [size =\"51922944\"]\n  8 [size=\"119063893\", alpha=\"0.17\", expect_size=\"35719168\"] \n  8 -> 14 [size =\"35719168\"]\n  8 -> 16 [size =\"35719168\"]\n  8 -> 17 [size =\"35719168\"]\n  9 [size=\"108445013\", alpha=\"0.12\", expect_size=\"32533504\"] \n  9 -> 12 [size =\"32533504\"]\n  9 -> 17 [size =\"32533504\"]\n  10 [size=\"164980053\", alpha=\"0.18\", expect_size=\"49494016\"] \n  10 -> 15 [size =\"49494016\"]\n  10 -> 17 [size =\"49494016\"]\n  11 [size=\"75601920\", alpha=\"0.06\", expect_size=\"22680576\"] \n  11 -> 15 [size =\"22680576\"]\n  11 -> 16 [size =\"22680576\"]\n  12 [size=\"98467840\", alpha=\"0.05\", expect_size=\"29540352\"] \n  12 -> 21 [size =\"29540352\"]\n  12 -> 24 [size =\"29540352\"]\n  13 [size=\"103294293\", alpha=\"0.01\", expect_size=\"30988288\"] \n  13 -> 22 [size =\"30988288\"]\n  13 -> 23 [size =\"30988288\"]\n  13 -> 25 [size =\"30988288\"]\n  13 -> 26 [size =\"30988288\"]\n  14 [size=\"96358400\", alpha=\"0.04\", expect_size=\"28907520\"] \n  14 -> 22 [size =\"28907520\"]\n  14 -> 23 [size =\"28907520\"]\n  14 -> 24 [size =\"28907520\"]\n  14 -> 29 [size =\"28907520\"]\n  15 [size=\"96832853\", alpha=\"0.08\", expect_size=\"29049856\"] \n  15 -> 20 [size =\"29049856\"]\n  15 -> 24 [size =\"29049856\"]\n  15 -> 29 [size =\"29049856\"]\n  16 [size=\"163389440\", alpha=\"0.03\", expect_size=\"49016832\"] \n  16 -> 21 [size =\"49016832\"]\n  16 -> 23 [size =\"49016832\"]\n  16 -> 29 [size =\"49016832\"]\n  17 [size=\"144605867\", alpha=\"0.07\", expect_size=\"43381760\"] \n  17 -> 20 [size =\"43381760\"]\n  17 -> 28 [size =\"43381760\"]\n  18 [size=\"111619413\", alpha=\"0.12\", expect_size=\"33485824\"] \n  18 -> 22 [size =\"33485824\"]\n  18 -> 26 [size =\"33485824\"]\n  19 [size=\"90634240\", alpha=\"0.07\", expect_size=\"27190272\"] \n  19 -> 21 [size =\"27190272\"]\n  19 -> 25 [size =\"27190272\"]\n  19 -> 27 [size =\"27190272\"]\n  19 -> 29 [size =\"27190272\"]\n  20 [size=\"25050453\", alpha=\"0.06\", expect_size=\"7515136\"] \n  20 -> 31 [size =\"7515136\"]\n  20 -> 32 [size =\"7515136\"]\n  20 -> 36 [size =\"7515136\"]\n  20 -> 38 [size =\"7515136\"]\n  20 -> 39 [size =\"7515136\"]\n  21 [size=\"165157547\", alpha=\"0.20\", expect_size=\"49547264\"] \n  21 -> 30 [size =\"49547264\"]\n  21 -> 39 [size =\"49547264\"]\n  22 [size=\"58961920\", alpha=\"0.03\", expect_size=\"17688576\"] \n  22 -> 30 [size =\"17688576\"]\n  22 -> 38 [size =\"17688576\"]\n  23 [size=\"97382400\", alpha=\"0.04\", expect_size=\"29214720\"] \n  23 -> 36 [size =\"29214720\"]\n  24 [size=\"102225920\", alpha=\"0.14\", expect_size=\"30667776\"] \n  24 -> 33 [size =\"30667776\"]\n  24 -> 37 [size =\"30667776\"]\n  24 -> 40 [size =\"30667776\"]\n  25 [size=\"134952960\", alpha=\"0.01\", expect_size=\"40485888\"] \n  25 -> 30 [size =\"40485888\"]\n  25 -> 32 [size =\"40485888\"]\n  25 -> 35 [size =\"40485888\"]\n  25 -> 37 [size =\"40485888\"]\n  25 -> 39 [size =\"40485888\"]\n  25 -> 40 [size =\"40485888\"]\n  26 [size=\"39799467\", alpha=\"0.13\", expect_size=\"11939840\"] \n  26 -> 34 [size =\"11939840\"]\n  26 -> 37 [size =\"11939840\"]\n  26 -> 40 [size =\"11939840\"]\n  27 [size=\"62433280\", alpha=\"0.05\", expect_size=\"18729984\"] \n  27 -> 30 [size =\"18729984\"]\n  27 -> 33 [size =\"18729984\"]\n  27 -> 36 [size =\"18729984\"]\n  27 -> 37 [size =\"18729984\"]\n  27 -> 39 [size =\"18729984\"]\n  28 [size=\"119749973\", alpha=\"0.11\", expect_size=\"35924992\"] \n  28 -> 31 [size =\"35924992\"]\n  28 -> 34 [size =\"35924992\"]\n  28 -> 36 [size =\"35924992\"]\n  28 -> 37 [size =\"35924992\"]\n  29 [size=\"54500693\", alpha=\"0.07\", expect_size=\"16350208\"] \n  29 -> 34 [size =\"16350208\"]\n  29 -> 36 [size =\"16350208\"]\n  29 -> 38 [size =\"16350208\"]\n  30 [size=\"112397653\", alpha=\"0.03\", expect_size=\"33719296\"] \n  31 [size=\"156405760\", alpha=\"0.06\", expect_size=\"46921728\"] \n  32 [size=\"156252160\", alpha=\"0.19\", expect_size=\"46875648\"] \n  33 [size=\"23702187\", alpha=\"0.03\", expect_size=\"7110656\"] \n  34 [size=\"59006293\", alpha=\"0.17\", expect_size=\"17701888\"] \n  35 [size=\"171540480\", alpha=\"0.01\", expect_size=\"51462144\"] \n  36 [size=\"19623253\", alpha=\"0.04\", expect_size=\"5886976\"] \n  37 [size=\"123016533\", alpha=\"0.03\", expect_size=\"36904960\"] \n  38 [size=\"165471573\", alpha=\"0.14\", expect_size=\"49641472\"] \n  39 [size=\"91286187\", alpha=\"0.14\", expect_size=\"27385856\"] \n  40 [size=\"148718933\", alpha=\"0.15\", expect_size=\"44615680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49577984\", alpha=\"0.04\", expect_size=\"24788992\"] \n  1 -> 32 [size =\"24788992\"]\n  1 -> 34 [size =\"24788992\"]\n  1 -> 38 [size =\"24788992\"]\n  1 -> 40 [size =\"24788992\"]\n  2 [size=\"93251584\", alpha=\"0.11\", expect_size=\"46625792\"] \n  2 -> 28 [size =\"46625792\"]\n  2 -> 32 [size =\"46625792\"]\n  2 -> 34 [size =\"46625792\"]\n  2 -> 36 [size =\"46625792\"]\n  2 -> 38 [size =\"46625792\"]\n  2 -> 39 [size =\"46625792\"]\n  3 [size=\"60686336\", alpha=\"0.09\", expect_size=\"30343168\"] \n  3 -> 28 [size =\"30343168\"]\n  3 -> 32 [size =\"30343168\"]\n  3 -> 34 [size =\"30343168\"]\n  3 -> 36 [size =\"30343168\"]\n  3 -> 37 [size =\"30343168\"]\n  3 -> 38 [size =\"30343168\"]\n  3 -> 39 [size =\"30343168\"]\n  4 [size=\"21053440\", alpha=\"0.11\", expect_size=\"10526720\"] \n  4 -> 28 [size =\"10526720\"]\n  4 -> 29 [size =\"10526720\"]\n  4 -> 34 [size =\"10526720\"]\n  4 -> 36 [size =\"10526720\"]\n  4 -> 38 [size =\"10526720\"]\n  5 [size=\"72996864\", alpha=\"0.14\", expect_size=\"36498432\"] \n  5 -> 29 [size =\"36498432\"]\n  5 -> 30 [size =\"36498432\"]\n  5 -> 36 [size =\"36498432\"]\n  5 -> 37 [size =\"36498432\"]\n  5 -> 39 [size =\"36498432\"]\n  5 -> 40 [size =\"36498432\"]\n  6 [size=\"78221312\", alpha=\"0.03\", expect_size=\"39110656\"] \n  6 -> 31 [size =\"39110656\"]\n  6 -> 38 [size =\"39110656\"]\n  7 [size=\"95057920\", alpha=\"0.18\", expect_size=\"47528960\"] \n  7 -> 29 [size =\"47528960\"]\n  7 -> 38 [size =\"47528960\"]\n  8 [size=\"54450176\", alpha=\"0.12\", expect_size=\"27225088\"] \n  8 -> 31 [size =\"27225088\"]\n  8 -> 32 [size =\"27225088\"]\n  8 -> 34 [size =\"27225088\"]\n  8 -> 36 [size =\"27225088\"]\n  8 -> 38 [size =\"27225088\"]\n  8 -> 40 [size =\"27225088\"]\n  9 [size=\"71256064\", alpha=\"0.15\", expect_size=\"35628032\"] \n  9 -> 28 [size =\"35628032\"]\n  9 -> 34 [size =\"35628032\"]\n  9 -> 35 [size =\"35628032\"]\n  9 -> 36 [size =\"35628032\"]\n  9 -> 40 [size =\"35628032\"]\n  10 [size=\"96849920\", alpha=\"0.07\", expect_size=\"48424960\"] \n  10 -> 35 [size =\"48424960\"]\n  10 -> 36 [size =\"48424960\"]\n  10 -> 37 [size =\"48424960\"]\n  10 -> 38 [size =\"48424960\"]\n  11 [size=\"45502464\", alpha=\"0.19\", expect_size=\"22751232\"] \n  11 -> 32 [size =\"22751232\"]\n  11 -> 36 [size =\"22751232\"]\n  11 -> 40 [size =\"22751232\"]\n  12 [size=\"62203904\", alpha=\"0.16\", expect_size=\"31101952\"] \n  12 -> 28 [size =\"31101952\"]\n  12 -> 36 [size =\"31101952\"]\n  12 -> 37 [size =\"31101952\"]\n  12 -> 38 [size =\"31101952\"]\n  12 -> 39 [size =\"31101952\"]\n  12 -> 40 [size =\"31101952\"]\n  13 [size=\"17924096\", alpha=\"0.10\", expect_size=\"8962048\"] \n  13 -> 28 [size =\"8962048\"]\n  13 -> 31 [size =\"8962048\"]\n  13 -> 32 [size =\"8962048\"]\n  13 -> 37 [size =\"8962048\"]\n  13 -> 38 [size =\"8962048\"]\n  13 -> 40 [size =\"8962048\"]\n  14 [size=\"58519552\", alpha=\"0.05\", expect_size=\"29259776\"] \n  14 -> 28 [size =\"29259776\"]\n  14 -> 31 [size =\"29259776\"]\n  14 -> 36 [size =\"29259776\"]\n  15 [size=\"14192640\", alpha=\"0.14\", expect_size=\"7096320\"] \n  15 -> 31 [size =\"7096320\"]\n  15 -> 32 [size =\"7096320\"]\n  15 -> 38 [size =\"7096320\"]\n  16 [size=\"79745024\", alpha=\"0.00\", expect_size=\"39872512\"] \n  16 -> 28 [size =\"39872512\"]\n  16 -> 31 [size =\"39872512\"]\n  17 [size=\"92301312\", alpha=\"0.00\", expect_size=\"46150656\"] \n  17 -> 28 [size =\"46150656\"]\n  17 -> 31 [size =\"46150656\"]\n  17 -> 38 [size =\"46150656\"]\n  18 [size=\"82956288\", alpha=\"0.15\", expect_size=\"41478144\"] \n  18 -> 28 [size =\"41478144\"]\n  18 -> 32 [size =\"41478144\"]\n  18 -> 38 [size =\"41478144\"]\n  19 [size=\"46348288\", alpha=\"0.00\", expect_size=\"23174144\"] \n  19 -> 39 [size =\"23174144\"]\n  19 -> 40 [size =\"23174144\"]\n  20 [size=\"24909824\", alpha=\"0.17\", expect_size=\"12454912\"] \n  20 -> 39 [size =\"12454912\"]\n  20 -> 40 [size =\"12454912\"]\n  21 [size=\"58048512\", alpha=\"0.02\", expect_size=\"29024256\"] \n  21 -> 32 [size =\"29024256\"]\n  21 -> 37 [size =\"29024256\"]\n  22 [size=\"51032064\", alpha=\"0.04\", expect_size=\"25516032\"] \n  22 -> 36 [size =\"25516032\"]\n  22 -> 38 [size =\"25516032\"]\n  23 [size=\"31784960\", alpha=\"0.17\", expect_size=\"15892480\"] \n  23 -> 31 [size =\"15892480\"]\n  23 -> 32 [size =\"15892480\"]\n  23 -> 33 [size =\"15892480\"]\n  23 -> 38 [size =\"15892480\"]\n  23 -> 39 [size =\"15892480\"]\n  24 [size=\"78931968\", alpha=\"0.12\", expect_size=\"39465984\"] \n  24 -> 32 [size =\"39465984\"]\n  24 -> 38 [size =\"39465984\"]\n  24 -> 39 [size =\"39465984\"]\n  25 [size=\"103677952\", alpha=\"0.01\", expect_size=\"51838976\"] \n  25 -> 28 [size =\"51838976\"]\n  25 -> 30 [size =\"51838976\"]\n  25 -> 31 [size =\"51838976\"]\n  25 -> 32 [size =\"51838976\"]\n  25 -> 37 [size =\"51838976\"]\n  25 -> 39 [size =\"51838976\"]\n  26 [size=\"74354688\", alpha=\"0.03\", expect_size=\"37177344\"] \n  26 -> 32 [size =\"37177344\"]\n  26 -> 37 [size =\"37177344\"]\n  27 [size=\"74774528\", alpha=\"0.04\", expect_size=\"37387264\"] \n  27 -> 31 [size =\"37387264\"]\n  27 -> 32 [size =\"37387264\"]\n  27 -> 33 [size =\"37387264\"]\n  27 -> 40 [size =\"37387264\"]\n  28 [size=\"74776576\", alpha=\"0.14\", expect_size=\"37388288\"] \n  29 [size=\"51841024\", alpha=\"0.17\", expect_size=\"25920512\"] \n  30 [size=\"54020096\", alpha=\"0.18\", expect_size=\"27010048\"] \n  31 [size=\"39663616\", alpha=\"0.07\", expect_size=\"19831808\"] \n  32 [size=\"47865856\", alpha=\"0.07\", expect_size=\"23932928\"] \n  33 [size=\"67020800\", alpha=\"0.08\", expect_size=\"33510400\"] \n  34 [size=\"52959232\", alpha=\"0.19\", expect_size=\"26479616\"] \n  35 [size=\"16248832\", alpha=\"0.11\", expect_size=\"8124416\"] \n  36 [size=\"19404800\", alpha=\"0.18\", expect_size=\"9702400\"] \n  37 [size=\"35790848\", alpha=\"0.02\", expect_size=\"17895424\"] \n  38 [size=\"55609344\", alpha=\"0.02\", expect_size=\"27804672\"] \n  39 [size=\"28452864\", alpha=\"0.09\", expect_size=\"14226432\"] \n  40 [size=\"15093760\", alpha=\"0.19\", expect_size=\"7546880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77723648\", alpha=\"0.01\", expect_size=\"38861824\"] \n  1 -> 6 [size =\"38861824\"]\n  1 -> 11 [size =\"38861824\"]\n  2 [size=\"102023168\", alpha=\"0.17\", expect_size=\"51011584\"] \n  2 -> 6 [size =\"51011584\"]\n  2 -> 7 [size =\"51011584\"]\n  3 [size=\"33118208\", alpha=\"0.15\", expect_size=\"16559104\"] \n  3 -> 6 [size =\"16559104\"]\n  3 -> 7 [size =\"16559104\"]\n  3 -> 8 [size =\"16559104\"]\n  3 -> 9 [size =\"16559104\"]\n  4 [size=\"97691648\", alpha=\"0.12\", expect_size=\"48845824\"] \n  4 -> 8 [size =\"48845824\"]\n  4 -> 11 [size =\"48845824\"]\n  5 [size=\"84498432\", alpha=\"0.04\", expect_size=\"42249216\"] \n  5 -> 6 [size =\"42249216\"]\n  5 -> 7 [size =\"42249216\"]\n  5 -> 10 [size =\"42249216\"]\n  6 [size=\"78159872\", alpha=\"0.04\", expect_size=\"39079936\"] \n  6 -> 12 [size =\"39079936\"]\n  6 -> 14 [size =\"39079936\"]\n  7 [size=\"61016064\", alpha=\"0.11\", expect_size=\"30508032\"] \n  7 -> 12 [size =\"30508032\"]\n  7 -> 14 [size =\"30508032\"]\n  8 [size=\"24702976\", alpha=\"0.06\", expect_size=\"12351488\"] \n  8 -> 14 [size =\"12351488\"]\n  8 -> 15 [size =\"12351488\"]\n  9 [size=\"25993216\", alpha=\"0.19\", expect_size=\"12996608\"] \n  9 -> 14 [size =\"12996608\"]\n  9 -> 15 [size =\"12996608\"]\n  9 -> 17 [size =\"12996608\"]\n  10 [size=\"12515328\", alpha=\"0.04\", expect_size=\"6257664\"] \n  10 -> 16 [size =\"6257664\"]\n  10 -> 17 [size =\"6257664\"]\n  11 [size=\"89645056\", alpha=\"0.19\", expect_size=\"44822528\"] \n  11 -> 12 [size =\"44822528\"]\n  11 -> 13 [size =\"44822528\"]\n  11 -> 16 [size =\"44822528\"]\n  12 [size=\"93958144\", alpha=\"0.04\", expect_size=\"46979072\"] \n  12 -> 18 [size =\"46979072\"]\n  12 -> 19 [size =\"46979072\"]\n  12 -> 21 [size =\"46979072\"]\n  12 -> 23 [size =\"46979072\"]\n  13 [size=\"81889280\", alpha=\"0.07\", expect_size=\"40944640\"] \n  13 -> 18 [size =\"40944640\"]\n  13 -> 20 [size =\"40944640\"]\n  13 -> 22 [size =\"40944640\"]\n  14 [size=\"60258304\", alpha=\"0.02\", expect_size=\"30129152\"] \n  14 -> 18 [size =\"30129152\"]\n  14 -> 21 [size =\"30129152\"]\n  15 [size=\"21993472\", alpha=\"0.06\", expect_size=\"10996736\"] \n  15 -> 19 [size =\"10996736\"]\n  15 -> 20 [size =\"10996736\"]\n  15 -> 21 [size =\"10996736\"]\n  16 [size=\"42790912\", alpha=\"0.05\", expect_size=\"21395456\"] \n  16 -> 20 [size =\"21395456\"]\n  16 -> 21 [size =\"21395456\"]\n  16 -> 23 [size =\"21395456\"]\n  17 [size=\"60241920\", alpha=\"0.05\", expect_size=\"30120960\"] \n  17 -> 18 [size =\"30120960\"]\n  17 -> 19 [size =\"30120960\"]\n  17 -> 20 [size =\"30120960\"]\n  18 [size=\"18671616\", alpha=\"0.19\", expect_size=\"9335808\"] \n  18 -> 24 [size =\"9335808\"]\n  18 -> 27 [size =\"9335808\"]\n  18 -> 28 [size =\"9335808\"]\n  18 -> 29 [size =\"9335808\"]\n  19 [size=\"47208448\", alpha=\"0.05\", expect_size=\"23604224\"] \n  19 -> 25 [size =\"23604224\"]\n  19 -> 27 [size =\"23604224\"]\n  19 -> 29 [size =\"23604224\"]\n  20 [size=\"40552448\", alpha=\"0.09\", expect_size=\"20276224\"] \n  20 -> 24 [size =\"20276224\"]\n  20 -> 26 [size =\"20276224\"]\n  21 [size=\"58707968\", alpha=\"0.07\", expect_size=\"29353984\"] \n  21 -> 24 [size =\"29353984\"]\n  21 -> 28 [size =\"29353984\"]\n  22 [size=\"53923840\", alpha=\"0.05\", expect_size=\"26961920\"] \n  22 -> 24 [size =\"26961920\"]\n  22 -> 28 [size =\"26961920\"]\n  23 [size=\"73961472\", alpha=\"0.07\", expect_size=\"36980736\"] \n  23 -> 24 [size =\"36980736\"]\n  23 -> 25 [size =\"36980736\"]\n  23 -> 26 [size =\"36980736\"]\n  23 -> 28 [size =\"36980736\"]\n  24 [size=\"12156928\", alpha=\"0.08\", expect_size=\"6078464\"] \n  24 -> 31 [size =\"6078464\"]\n  25 [size=\"23900160\", alpha=\"0.05\", expect_size=\"11950080\"] \n  25 -> 30 [size =\"11950080\"]\n  25 -> 31 [size =\"11950080\"]\n  25 -> 32 [size =\"11950080\"]\n  25 -> 33 [size =\"11950080\"]\n  25 -> 34 [size =\"11950080\"]\n  26 [size=\"53645312\", alpha=\"0.16\", expect_size=\"26822656\"] \n  26 -> 30 [size =\"26822656\"]\n  26 -> 32 [size =\"26822656\"]\n  26 -> 33 [size =\"26822656\"]\n  27 [size=\"79257600\", alpha=\"0.17\", expect_size=\"39628800\"] \n  27 -> 30 [size =\"39628800\"]\n  27 -> 31 [size =\"39628800\"]\n  27 -> 34 [size =\"39628800\"]\n  28 [size=\"103901184\", alpha=\"0.02\", expect_size=\"51950592\"] \n  28 -> 30 [size =\"51950592\"]\n  29 [size=\"98172928\", alpha=\"0.10\", expect_size=\"49086464\"] \n  29 -> 32 [size =\"49086464\"]\n  30 [size=\"25202688\", alpha=\"0.18\", expect_size=\"12601344\"] \n  30 -> 35 [size =\"12601344\"]\n  30 -> 36 [size =\"12601344\"]\n  31 [size=\"65656832\", alpha=\"0.04\", expect_size=\"32828416\"] \n  31 -> 35 [size =\"32828416\"]\n  31 -> 37 [size =\"32828416\"]\n  32 [size=\"98031616\", alpha=\"0.07\", expect_size=\"49015808\"] \n  32 -> 35 [size =\"49015808\"]\n  32 -> 37 [size =\"49015808\"]\n  32 -> 38 [size =\"49015808\"]\n  32 -> 39 [size =\"49015808\"]\n  33 [size=\"25122816\", alpha=\"0.05\", expect_size=\"12561408\"] \n  33 -> 37 [size =\"12561408\"]\n  33 -> 39 [size =\"12561408\"]\n  33 -> 40 [size =\"12561408\"]\n  34 [size=\"58308608\", alpha=\"0.13\", expect_size=\"29154304\"] \n  35 [size=\"96047104\", alpha=\"0.04\", expect_size=\"48023552\"] \n  36 [size=\"23613440\", alpha=\"0.02\", expect_size=\"11806720\"] \n  37 [size=\"97421312\", alpha=\"0.11\", expect_size=\"48710656\"] \n  38 [size=\"84889600\", alpha=\"0.01\", expect_size=\"42444800\"] \n  39 [size=\"94607360\", alpha=\"0.19\", expect_size=\"47303680\"] \n  40 [size=\"47710208\", alpha=\"0.03\", expect_size=\"23855104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78940160\", alpha=\"0.06\", expect_size=\"39470080\"] \n  1 -> 29 [size =\"39470080\"]\n  1 -> 34 [size =\"39470080\"]\n  1 -> 37 [size =\"39470080\"]\n  2 [size=\"29014016\", alpha=\"0.06\", expect_size=\"14507008\"] \n  2 -> 23 [size =\"14507008\"]\n  2 -> 28 [size =\"14507008\"]\n  2 -> 33 [size =\"14507008\"]\n  2 -> 34 [size =\"14507008\"]\n  2 -> 38 [size =\"14507008\"]\n  3 [size=\"44298240\", alpha=\"0.10\", expect_size=\"22149120\"] \n  3 -> 25 [size =\"22149120\"]\n  3 -> 31 [size =\"22149120\"]\n  3 -> 33 [size =\"22149120\"]\n  4 [size=\"64811008\", alpha=\"0.17\", expect_size=\"32405504\"] \n  4 -> 23 [size =\"32405504\"]\n  4 -> 27 [size =\"32405504\"]\n  4 -> 28 [size =\"32405504\"]\n  4 -> 31 [size =\"32405504\"]\n  4 -> 33 [size =\"32405504\"]\n  4 -> 39 [size =\"32405504\"]\n  5 [size=\"67391488\", alpha=\"0.06\", expect_size=\"33695744\"] \n  5 -> 32 [size =\"33695744\"]\n  5 -> 39 [size =\"33695744\"]\n  6 [size=\"38117376\", alpha=\"0.02\", expect_size=\"19058688\"] \n  6 -> 20 [size =\"19058688\"]\n  6 -> 23 [size =\"19058688\"]\n  6 -> 29 [size =\"19058688\"]\n  6 -> 31 [size =\"19058688\"]\n  6 -> 32 [size =\"19058688\"]\n  6 -> 34 [size =\"19058688\"]\n  6 -> 37 [size =\"19058688\"]\n  6 -> 39 [size =\"19058688\"]\n  7 [size=\"40495104\", alpha=\"0.12\", expect_size=\"20247552\"] \n  7 -> 23 [size =\"20247552\"]\n  7 -> 34 [size =\"20247552\"]\n  7 -> 36 [size =\"20247552\"]\n  7 -> 37 [size =\"20247552\"]\n  7 -> 38 [size =\"20247552\"]\n  7 -> 40 [size =\"20247552\"]\n  8 [size=\"27301888\", alpha=\"0.19\", expect_size=\"13650944\"] \n  8 -> 20 [size =\"13650944\"]\n  8 -> 23 [size =\"13650944\"]\n  8 -> 24 [size =\"13650944\"]\n  8 -> 34 [size =\"13650944\"]\n  8 -> 37 [size =\"13650944\"]\n  9 [size=\"46886912\", alpha=\"0.16\", expect_size=\"23443456\"] \n  9 -> 20 [size =\"23443456\"]\n  9 -> 28 [size =\"23443456\"]\n  9 -> 30 [size =\"23443456\"]\n  9 -> 40 [size =\"23443456\"]\n  10 [size=\"36767744\", alpha=\"0.01\", expect_size=\"18383872\"] \n  10 -> 20 [size =\"18383872\"]\n  10 -> 22 [size =\"18383872\"]\n  10 -> 32 [size =\"18383872\"]\n  11 [size=\"30255104\", alpha=\"0.11\", expect_size=\"15127552\"] \n  11 -> 20 [size =\"15127552\"]\n  11 -> 23 [size =\"15127552\"]\n  11 -> 32 [size =\"15127552\"]\n  11 -> 37 [size =\"15127552\"]\n  11 -> 39 [size =\"15127552\"]\n  12 [size=\"56414208\", alpha=\"0.01\", expect_size=\"28207104\"] \n  12 -> 24 [size =\"28207104\"]\n  12 -> 32 [size =\"28207104\"]\n  12 -> 34 [size =\"28207104\"]\n  12 -> 39 [size =\"28207104\"]\n  13 [size=\"84371456\", alpha=\"0.15\", expect_size=\"42185728\"] \n  13 -> 23 [size =\"42185728\"]\n  13 -> 34 [size =\"42185728\"]\n  13 -> 37 [size =\"42185728\"]\n  13 -> 38 [size =\"42185728\"]\n  13 -> 39 [size =\"42185728\"]\n  14 [size=\"35434496\", alpha=\"0.19\", expect_size=\"17717248\"] \n  14 -> 22 [size =\"17717248\"]\n  14 -> 23 [size =\"17717248\"]\n  14 -> 33 [size =\"17717248\"]\n  14 -> 39 [size =\"17717248\"]\n  15 [size=\"19806208\", alpha=\"0.12\", expect_size=\"9903104\"] \n  15 -> 27 [size =\"9903104\"]\n  15 -> 28 [size =\"9903104\"]\n  15 -> 29 [size =\"9903104\"]\n  15 -> 32 [size =\"9903104\"]\n  15 -> 33 [size =\"9903104\"]\n  15 -> 38 [size =\"9903104\"]\n  16 [size=\"45899776\", alpha=\"0.11\", expect_size=\"22949888\"] \n  16 -> 23 [size =\"22949888\"]\n  16 -> 28 [size =\"22949888\"]\n  16 -> 29 [size =\"22949888\"]\n  16 -> 32 [size =\"22949888\"]\n  16 -> 33 [size =\"22949888\"]\n  16 -> 38 [size =\"22949888\"]\n  17 [size=\"54857728\", alpha=\"0.08\", expect_size=\"27428864\"] \n  17 -> 26 [size =\"27428864\"]\n  17 -> 28 [size =\"27428864\"]\n  17 -> 32 [size =\"27428864\"]\n  17 -> 35 [size =\"27428864\"]\n  17 -> 38 [size =\"27428864\"]\n  18 [size=\"17764352\", alpha=\"0.20\", expect_size=\"8882176\"] \n  18 -> 27 [size =\"8882176\"]\n  18 -> 33 [size =\"8882176\"]\n  18 -> 36 [size =\"8882176\"]\n  18 -> 39 [size =\"8882176\"]\n  19 [size=\"15392768\", alpha=\"0.18\", expect_size=\"7696384\"] \n  19 -> 20 [size =\"7696384\"]\n  19 -> 21 [size =\"7696384\"]\n  19 -> 28 [size =\"7696384\"]\n  19 -> 32 [size =\"7696384\"]\n  19 -> 38 [size =\"7696384\"]\n  19 -> 39 [size =\"7696384\"]\n  19 -> 40 [size =\"7696384\"]\n  20 [size=\"92047360\", alpha=\"0.18\", expect_size=\"46023680\"] \n  21 [size=\"95578112\", alpha=\"0.13\", expect_size=\"47789056\"] \n  22 [size=\"51064832\", alpha=\"0.11\", expect_size=\"25532416\"] \n  23 [size=\"56700928\", alpha=\"0.17\", expect_size=\"28350464\"] \n  24 [size=\"34525184\", alpha=\"0.14\", expect_size=\"17262592\"] \n  25 [size=\"27721728\", alpha=\"0.03\", expect_size=\"13860864\"] \n  26 [size=\"84684800\", alpha=\"0.18\", expect_size=\"42342400\"] \n  27 [size=\"43841536\", alpha=\"0.19\", expect_size=\"21920768\"] \n  28 [size=\"79247360\", alpha=\"0.04\", expect_size=\"39623680\"] \n  29 [size=\"78698496\", alpha=\"0.17\", expect_size=\"39349248\"] \n  30 [size=\"70637568\", alpha=\"0.15\", expect_size=\"35318784\"] \n  31 [size=\"62423040\", alpha=\"0.17\", expect_size=\"31211520\"] \n  32 [size=\"28137472\", alpha=\"0.10\", expect_size=\"14068736\"] \n  33 [size=\"80680960\", alpha=\"0.17\", expect_size=\"40340480\"] \n  34 [size=\"65126400\", alpha=\"0.10\", expect_size=\"32563200\"] \n  35 [size=\"35799040\", alpha=\"0.05\", expect_size=\"17899520\"] \n  36 [size=\"49602560\", alpha=\"0.08\", expect_size=\"24801280\"] \n  37 [size=\"39800832\", alpha=\"0.00\", expect_size=\"19900416\"] \n  38 [size=\"36401152\", alpha=\"0.14\", expect_size=\"18200576\"] \n  39 [size=\"56225792\", alpha=\"0.08\", expect_size=\"28112896\"] \n  40 [size=\"41299968\", alpha=\"0.20\", expect_size=\"20649984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52236800\", alpha=\"0.13\", expect_size=\"20894720\"] \n  1 -> 29 [size =\"20894720\"]\n  1 -> 32 [size =\"20894720\"]\n  1 -> 40 [size =\"20894720\"]\n  2 [size=\"29519360\", alpha=\"0.18\", expect_size=\"11807744\"] \n  2 -> 29 [size =\"11807744\"]\n  2 -> 31 [size =\"11807744\"]\n  2 -> 32 [size =\"11807744\"]\n  2 -> 38 [size =\"11807744\"]\n  2 -> 39 [size =\"11807744\"]\n  2 -> 40 [size =\"11807744\"]\n  3 [size=\"127600640\", alpha=\"0.00\", expect_size=\"51040256\"] \n  3 -> 35 [size =\"51040256\"]\n  3 -> 36 [size =\"51040256\"]\n  3 -> 37 [size =\"51040256\"]\n  4 [size=\"119383040\", alpha=\"0.19\", expect_size=\"47753216\"] \n  4 -> 29 [size =\"47753216\"]\n  4 -> 30 [size =\"47753216\"]\n  4 -> 35 [size =\"47753216\"]\n  5 [size=\"82455040\", alpha=\"0.13\", expect_size=\"32982016\"] \n  5 -> 28 [size =\"32982016\"]\n  5 -> 34 [size =\"32982016\"]\n  5 -> 37 [size =\"32982016\"]\n  6 [size=\"51243520\", alpha=\"0.08\", expect_size=\"20497408\"] \n  6 -> 30 [size =\"20497408\"]\n  6 -> 33 [size =\"20497408\"]\n  6 -> 35 [size =\"20497408\"]\n  6 -> 38 [size =\"20497408\"]\n  7 [size=\"126947840\", alpha=\"0.00\", expect_size=\"50779136\"] \n  7 -> 29 [size =\"50779136\"]\n  7 -> 34 [size =\"50779136\"]\n  7 -> 35 [size =\"50779136\"]\n  7 -> 37 [size =\"50779136\"]\n  7 -> 38 [size =\"50779136\"]\n  7 -> 39 [size =\"50779136\"]\n  8 [size=\"122014720\", alpha=\"0.09\", expect_size=\"48805888\"] \n  8 -> 27 [size =\"48805888\"]\n  8 -> 34 [size =\"48805888\"]\n  8 -> 37 [size =\"48805888\"]\n  8 -> 38 [size =\"48805888\"]\n  8 -> 40 [size =\"48805888\"]\n  9 [size=\"108503040\", alpha=\"0.10\", expect_size=\"43401216\"] \n  9 -> 36 [size =\"43401216\"]\n  9 -> 37 [size =\"43401216\"]\n  9 -> 37 [size =\"43401216\"]\n  10 [size=\"61521920\", alpha=\"0.19\", expect_size=\"24608768\"] \n  10 -> 29 [size =\"24608768\"]\n  10 -> 30 [size =\"24608768\"]\n  10 -> 35 [size =\"24608768\"]\n  10 -> 37 [size =\"24608768\"]\n  10 -> 38 [size =\"24608768\"]\n  10 -> 40 [size =\"24608768\"]\n  11 [size=\"32998400\", alpha=\"0.02\", expect_size=\"13199360\"] \n  11 -> 37 [size =\"13199360\"]\n  11 -> 40 [size =\"13199360\"]\n  12 [size=\"109281280\", alpha=\"0.17\", expect_size=\"43712512\"] \n  12 -> 35 [size =\"43712512\"]\n  12 -> 40 [size =\"43712512\"]\n  13 [size=\"96084480\", alpha=\"0.14\", expect_size=\"38433792\"] \n  13 -> 37 [size =\"38433792\"]\n  13 -> 40 [size =\"38433792\"]\n  14 [size=\"96407040\", alpha=\"0.14\", expect_size=\"38562816\"] \n  14 -> 34 [size =\"38562816\"]\n  14 -> 40 [size =\"38562816\"]\n  15 [size=\"89448960\", alpha=\"0.06\", expect_size=\"35779584\"] \n  15 -> 36 [size =\"35779584\"]\n  15 -> 40 [size =\"35779584\"]\n  16 [size=\"47411200\", alpha=\"0.13\", expect_size=\"18964480\"] \n  16 -> 29 [size =\"18964480\"]\n  17 [size=\"97379840\", alpha=\"0.01\", expect_size=\"38951936\"] \n  17 -> 29 [size =\"38951936\"]\n  17 -> 30 [size =\"38951936\"]\n  17 -> 33 [size =\"38951936\"]\n  17 -> 34 [size =\"38951936\"]\n  17 -> 37 [size =\"38951936\"]\n  18 [size=\"99604480\", alpha=\"0.03\", expect_size=\"39841792\"] \n  18 -> 29 [size =\"39841792\"]\n  18 -> 30 [size =\"39841792\"]\n  18 -> 31 [size =\"39841792\"]\n  18 -> 33 [size =\"39841792\"]\n  18 -> 35 [size =\"39841792\"]\n  18 -> 37 [size =\"39841792\"]\n  18 -> 38 [size =\"39841792\"]\n  18 -> 40 [size =\"39841792\"]\n  19 [size=\"33699840\", alpha=\"0.19\", expect_size=\"13479936\"] \n  19 -> 29 [size =\"13479936\"]\n  19 -> 30 [size =\"13479936\"]\n  19 -> 31 [size =\"13479936\"]\n  19 -> 35 [size =\"13479936\"]\n  20 [size=\"93509120\", alpha=\"0.14\", expect_size=\"37403648\"] \n  20 -> 29 [size =\"37403648\"]\n  20 -> 35 [size =\"37403648\"]\n  20 -> 37 [size =\"37403648\"]\n  21 [size=\"87736320\", alpha=\"0.16\", expect_size=\"35094528\"] \n  21 -> 31 [size =\"35094528\"]\n  21 -> 35 [size =\"35094528\"]\n  21 -> 40 [size =\"35094528\"]\n  22 [size=\"97730560\", alpha=\"0.20\", expect_size=\"39092224\"] \n  22 -> 30 [size =\"39092224\"]\n  22 -> 31 [size =\"39092224\"]\n  22 -> 40 [size =\"39092224\"]\n  23 [size=\"78986240\", alpha=\"0.03\", expect_size=\"31594496\"] \n  23 -> 29 [size =\"31594496\"]\n  23 -> 33 [size =\"31594496\"]\n  23 -> 35 [size =\"31594496\"]\n  24 [size=\"45862400\", alpha=\"0.05\", expect_size=\"18344960\"] \n  24 -> 29 [size =\"18344960\"]\n  24 -> 30 [size =\"18344960\"]\n  25 [size=\"127106560\", alpha=\"0.18\", expect_size=\"50842624\"] \n  25 -> 31 [size =\"50842624\"]\n  25 -> 33 [size =\"50842624\"]\n  25 -> 35 [size =\"50842624\"]\n  26 [size=\"43146240\", alpha=\"0.18\", expect_size=\"17258496\"] \n  26 -> 33 [size =\"17258496\"]\n  26 -> 35 [size =\"17258496\"]\n  26 -> 38 [size =\"17258496\"]\n  26 -> 40 [size =\"17258496\"]\n  27 [size=\"119083520\", alpha=\"0.18\", expect_size=\"47633408\"] \n  28 [size=\"126906880\", alpha=\"0.15\", expect_size=\"50762752\"] \n  29 [size=\"26823680\", alpha=\"0.09\", expect_size=\"10729472\"] \n  30 [size=\"23403520\", alpha=\"0.11\", expect_size=\"9361408\"] \n  31 [size=\"107212800\", alpha=\"0.16\", expect_size=\"42885120\"] \n  32 [size=\"81451520\", alpha=\"0.18\", expect_size=\"32580608\"] \n  33 [size=\"80496640\", alpha=\"0.14\", expect_size=\"32198656\"] \n  34 [size=\"100876800\", alpha=\"0.04\", expect_size=\"40350720\"] \n  35 [size=\"130908160\", alpha=\"0.06\", expect_size=\"52363264\"] \n  36 [size=\"121973760\", alpha=\"0.15\", expect_size=\"48789504\"] \n  37 [size=\"112209920\", alpha=\"0.18\", expect_size=\"44883968\"] \n  38 [size=\"97497600\", alpha=\"0.16\", expect_size=\"38999040\"] \n  39 [size=\"68782080\", alpha=\"0.17\", expect_size=\"27512832\"] \n  40 [size=\"121454080\", alpha=\"0.11\", expect_size=\"48581632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82552320\", alpha=\"0.00\", expect_size=\"33020928\"] \n  1 -> 5 [size =\"33020928\"]\n  1 -> 7 [size =\"33020928\"]\n  1 -> 8 [size =\"33020928\"]\n  2 [size=\"40634880\", alpha=\"0.11\", expect_size=\"16253952\"] \n  2 -> 8 [size =\"16253952\"]\n  3 [size=\"22717440\", alpha=\"0.10\", expect_size=\"9086976\"] \n  3 -> 7 [size =\"9086976\"]\n  4 [size=\"56061440\", alpha=\"0.05\", expect_size=\"22424576\"] \n  4 -> 5 [size =\"22424576\"]\n  4 -> 6 [size =\"22424576\"]\n  5 [size=\"86737920\", alpha=\"0.09\", expect_size=\"34695168\"] \n  5 -> 9 [size =\"34695168\"]\n  5 -> 10 [size =\"34695168\"]\n  6 [size=\"93583360\", alpha=\"0.08\", expect_size=\"37433344\"] \n  6 -> 9 [size =\"37433344\"]\n  6 -> 13 [size =\"37433344\"]\n  7 [size=\"42296320\", alpha=\"0.14\", expect_size=\"16918528\"] \n  7 -> 11 [size =\"16918528\"]\n  7 -> 12 [size =\"16918528\"]\n  8 [size=\"79165440\", alpha=\"0.17\", expect_size=\"31666176\"] \n  8 -> 12 [size =\"31666176\"]\n  9 [size=\"89441280\", alpha=\"0.13\", expect_size=\"35776512\"] \n  9 -> 14 [size =\"35776512\"]\n  9 -> 19 [size =\"35776512\"]\n  10 [size=\"91512320\", alpha=\"0.12\", expect_size=\"36604928\"] \n  10 -> 15 [size =\"36604928\"]\n  10 -> 18 [size =\"36604928\"]\n  11 [size=\"30289920\", alpha=\"0.13\", expect_size=\"12115968\"] \n  11 -> 19 [size =\"12115968\"]\n  12 [size=\"33177600\", alpha=\"0.09\", expect_size=\"13271040\"] \n  12 -> 14 [size =\"13271040\"]\n  12 -> 15 [size =\"13271040\"]\n  12 -> 16 [size =\"13271040\"]\n  12 -> 17 [size =\"13271040\"]\n  12 -> 19 [size =\"13271040\"]\n  13 [size=\"97730560\", alpha=\"0.09\", expect_size=\"39092224\"] \n  13 -> 17 [size =\"39092224\"]\n  14 [size=\"39846400\", alpha=\"0.14\", expect_size=\"15938560\"] \n  14 -> 20 [size =\"15938560\"]\n  14 -> 22 [size =\"15938560\"]\n  15 [size=\"69273600\", alpha=\"0.05\", expect_size=\"27709440\"] \n  15 -> 20 [size =\"27709440\"]\n  15 -> 21 [size =\"27709440\"]\n  15 -> 22 [size =\"27709440\"]\n  15 -> 23 [size =\"27709440\"]\n  16 [size=\"119564800\", alpha=\"0.16\", expect_size=\"47825920\"] \n  16 -> 23 [size =\"47825920\"]\n  17 [size=\"48944640\", alpha=\"0.00\", expect_size=\"19577856\"] \n  17 -> 23 [size =\"19577856\"]\n  18 [size=\"130700800\", alpha=\"0.10\", expect_size=\"52280320\"] \n  18 -> 22 [size =\"52280320\"]\n  18 -> 23 [size =\"52280320\"]\n  19 [size=\"113408000\", alpha=\"0.08\", expect_size=\"45363200\"] \n  19 -> 21 [size =\"45363200\"]\n  20 [size=\"69399040\", alpha=\"0.19\", expect_size=\"27759616\"] \n  20 -> 25 [size =\"27759616\"]\n  20 -> 26 [size =\"27759616\"]\n  20 -> 27 [size =\"27759616\"]\n  20 -> 28 [size =\"27759616\"]\n  20 -> 29 [size =\"27759616\"]\n  21 [size=\"22830080\", alpha=\"0.01\", expect_size=\"9132032\"] \n  21 -> 24 [size =\"9132032\"]\n  21 -> 26 [size =\"9132032\"]\n  21 -> 27 [size =\"9132032\"]\n  21 -> 29 [size =\"9132032\"]\n  22 [size=\"99855360\", alpha=\"0.07\", expect_size=\"39942144\"] \n  22 -> 24 [size =\"39942144\"]\n  22 -> 25 [size =\"39942144\"]\n  22 -> 28 [size =\"39942144\"]\n  23 [size=\"32143360\", alpha=\"0.16\", expect_size=\"12857344\"] \n  23 -> 26 [size =\"12857344\"]\n  23 -> 29 [size =\"12857344\"]\n  24 [size=\"84830720\", alpha=\"0.11\", expect_size=\"33932288\"] \n  25 [size=\"48458240\", alpha=\"0.19\", expect_size=\"19383296\"] \n  25 -> 31 [size =\"19383296\"]\n  25 -> 34 [size =\"19383296\"]\n  25 -> 35 [size =\"19383296\"]\n  26 [size=\"75320320\", alpha=\"0.01\", expect_size=\"30128128\"] \n  26 -> 30 [size =\"30128128\"]\n  26 -> 31 [size =\"30128128\"]\n  26 -> 33 [size =\"30128128\"]\n  26 -> 35 [size =\"30128128\"]\n  27 [size=\"49303040\", alpha=\"0.08\", expect_size=\"19721216\"] \n  27 -> 30 [size =\"19721216\"]\n  28 [size=\"49326080\", alpha=\"0.06\", expect_size=\"19730432\"] \n  28 -> 30 [size =\"19730432\"]\n  28 -> 31 [size =\"19730432\"]\n  28 -> 32 [size =\"19730432\"]\n  28 -> 35 [size =\"19730432\"]\n  29 [size=\"106631680\", alpha=\"0.17\", expect_size=\"42652672\"] \n  29 -> 31 [size =\"42652672\"]\n  29 -> 32 [size =\"42652672\"]\n  29 -> 36 [size =\"42652672\"]\n  30 [size=\"37393920\", alpha=\"0.01\", expect_size=\"14957568\"] \n  30 -> 37 [size =\"14957568\"]\n  30 -> 38 [size =\"14957568\"]\n  30 -> 39 [size =\"14957568\"]\n  31 [size=\"28782080\", alpha=\"0.08\", expect_size=\"11512832\"] \n  32 [size=\"32279040\", alpha=\"0.18\", expect_size=\"12911616\"] \n  32 -> 39 [size =\"12911616\"]\n  32 -> 40 [size =\"12911616\"]\n  33 [size=\"75409920\", alpha=\"0.03\", expect_size=\"30163968\"] \n  34 [size=\"49822720\", alpha=\"0.12\", expect_size=\"19929088\"] \n  34 -> 39 [size =\"19929088\"]\n  35 [size=\"116433920\", alpha=\"0.11\", expect_size=\"46573568\"] \n  36 [size=\"112952320\", alpha=\"0.08\", expect_size=\"45180928\"] \n  36 -> 38 [size =\"45180928\"]\n  36 -> 40 [size =\"45180928\"]\n  37 [size=\"119851520\", alpha=\"0.11\", expect_size=\"47940608\"] \n  38 [size=\"48358400\", alpha=\"0.14\", expect_size=\"19343360\"] \n  39 [size=\"82496000\", alpha=\"0.14\", expect_size=\"32998400\"] \n  40 [size=\"62671360\", alpha=\"0.04\", expect_size=\"25068544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87472640\", alpha=\"0.15\", expect_size=\"34989056\"] \n  1 -> 3 [size =\"34989056\"]\n  1 -> 4 [size =\"34989056\"]\n  2 [size=\"88952320\", alpha=\"0.08\", expect_size=\"35580928\"] \n  2 -> 3 [size =\"35580928\"]\n  2 -> 4 [size =\"35580928\"]\n  3 [size=\"73121280\", alpha=\"0.13\", expect_size=\"29248512\"] \n  3 -> 5 [size =\"29248512\"]\n  3 -> 6 [size =\"29248512\"]\n  4 [size=\"84907520\", alpha=\"0.14\", expect_size=\"33963008\"] \n  4 -> 6 [size =\"33963008\"]\n  5 [size=\"97267200\", alpha=\"0.02\", expect_size=\"38906880\"] \n  5 -> 7 [size =\"38906880\"]\n  5 -> 8 [size =\"38906880\"]\n  6 [size=\"102638080\", alpha=\"0.10\", expect_size=\"41055232\"] \n  6 -> 8 [size =\"41055232\"]\n  7 [size=\"105756160\", alpha=\"0.11\", expect_size=\"42302464\"] \n  7 -> 9 [size =\"42302464\"]\n  7 -> 10 [size =\"42302464\"]\n  8 [size=\"129054720\", alpha=\"0.12\", expect_size=\"51621888\"] \n  9 [size=\"17520640\", alpha=\"0.05\", expect_size=\"7008256\"] \n  9 -> 11 [size =\"7008256\"]\n  9 -> 12 [size =\"7008256\"]\n  10 [size=\"83765760\", alpha=\"0.02\", expect_size=\"33506304\"] \n  10 -> 12 [size =\"33506304\"]\n  11 [size=\"70671360\", alpha=\"0.14\", expect_size=\"28268544\"] \n  11 -> 13 [size =\"28268544\"]\n  11 -> 14 [size =\"28268544\"]\n  12 [size=\"42908160\", alpha=\"0.00\", expect_size=\"17163264\"] \n  12 -> 13 [size =\"17163264\"]\n  12 -> 14 [size =\"17163264\"]\n  13 [size=\"92400640\", alpha=\"0.18\", expect_size=\"36960256\"] \n  13 -> 15 [size =\"36960256\"]\n  14 [size=\"52454400\", alpha=\"0.05\", expect_size=\"20981760\"] \n  14 -> 16 [size =\"20981760\"]\n  15 [size=\"14860800\", alpha=\"0.00\", expect_size=\"5944320\"] \n  15 -> 17 [size =\"5944320\"]\n  15 -> 18 [size =\"5944320\"]\n  16 [size=\"25925120\", alpha=\"0.04\", expect_size=\"10370048\"] \n  16 -> 18 [size =\"10370048\"]\n  17 [size=\"82385920\", alpha=\"0.11\", expect_size=\"32954368\"] \n  17 -> 19 [size =\"32954368\"]\n  17 -> 20 [size =\"32954368\"]\n  18 [size=\"29168640\", alpha=\"0.03\", expect_size=\"11667456\"] \n  19 [size=\"98949120\", alpha=\"0.16\", expect_size=\"39579648\"] \n  19 -> 21 [size =\"39579648\"]\n  19 -> 22 [size =\"39579648\"]\n  20 [size=\"127444480\", alpha=\"0.18\", expect_size=\"50977792\"] \n  20 -> 21 [size =\"50977792\"]\n  21 [size=\"22863360\", alpha=\"0.13\", expect_size=\"9145344\"] \n  21 -> 23 [size =\"9145344\"]\n  21 -> 24 [size =\"9145344\"]\n  22 [size=\"103795200\", alpha=\"0.00\", expect_size=\"41518080\"] \n  22 -> 23 [size =\"41518080\"]\n  23 [size=\"105879040\", alpha=\"0.18\", expect_size=\"42351616\"] \n  23 -> 25 [size =\"42351616\"]\n  23 -> 26 [size =\"42351616\"]\n  24 [size=\"91417600\", alpha=\"0.08\", expect_size=\"36567040\"] \n  24 -> 26 [size =\"36567040\"]\n  25 [size=\"121551360\", alpha=\"0.12\", expect_size=\"48620544\"] \n  25 -> 27 [size =\"48620544\"]\n  25 -> 28 [size =\"48620544\"]\n  26 [size=\"122810880\", alpha=\"0.11\", expect_size=\"49124352\"] \n  26 -> 27 [size =\"49124352\"]\n  26 -> 28 [size =\"49124352\"]\n  26 -> 29 [size =\"49124352\"]\n  27 [size=\"26035200\", alpha=\"0.06\", expect_size=\"10414080\"] \n  27 -> 32 [size =\"10414080\"]\n  28 [size=\"90780160\", alpha=\"0.00\", expect_size=\"36312064\"] \n  28 -> 31 [size =\"36312064\"]\n  29 [size=\"106693120\", alpha=\"0.16\", expect_size=\"42677248\"] \n  29 -> 30 [size =\"42677248\"]\n  30 [size=\"82649600\", alpha=\"0.03\", expect_size=\"33059840\"] \n  31 [size=\"70453760\", alpha=\"0.00\", expect_size=\"28181504\"] \n  31 -> 33 [size =\"28181504\"]\n  31 -> 34 [size =\"28181504\"]\n  32 [size=\"26508800\", alpha=\"0.03\", expect_size=\"10603520\"] \n  33 [size=\"26662400\", alpha=\"0.18\", expect_size=\"10664960\"] \n  33 -> 35 [size =\"10664960\"]\n  33 -> 36 [size =\"10664960\"]\n  33 -> 37 [size =\"10664960\"]\n  34 [size=\"130923520\", alpha=\"0.00\", expect_size=\"52369408\"] \n  34 -> 36 [size =\"52369408\"]\n  34 -> 37 [size =\"52369408\"]\n  35 [size=\"57208320\", alpha=\"0.03\", expect_size=\"22883328\"] \n  35 -> 38 [size =\"22883328\"]\n  35 -> 39 [size =\"22883328\"]\n  36 [size=\"125601280\", alpha=\"0.08\", expect_size=\"50240512\"] \n  36 -> 38 [size =\"50240512\"]\n  36 -> 39 [size =\"50240512\"]\n  36 -> 40 [size =\"50240512\"]\n  37 [size=\"71744000\", alpha=\"0.04\", expect_size=\"28697600\"] \n  37 -> 38 [size =\"28697600\"]\n  38 [size=\"106247680\", alpha=\"0.04\", expect_size=\"42499072\"] \n  39 [size=\"109137920\", alpha=\"0.17\", expect_size=\"43655168\"] \n  40 [size=\"84823040\", alpha=\"0.11\", expect_size=\"33929216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96466944\", alpha=\"0.18\", expect_size=\"48233472\"] \n  1 -> 2 [size =\"48233472\"]\n  1 -> 3 [size =\"48233472\"]\n  2 [size=\"95571968\", alpha=\"0.05\", expect_size=\"47785984\"] \n  2 -> 4 [size =\"47785984\"]\n  3 [size=\"72060928\", alpha=\"0.16\", expect_size=\"36030464\"] \n  4 [size=\"17078272\", alpha=\"0.11\", expect_size=\"8539136\"] \n  4 -> 5 [size =\"8539136\"]\n  5 [size=\"85602304\", alpha=\"0.13\", expect_size=\"42801152\"] \n  5 -> 6 [size =\"42801152\"]\n  5 -> 7 [size =\"42801152\"]\n  5 -> 8 [size =\"42801152\"]\n  6 [size=\"13541376\", alpha=\"0.14\", expect_size=\"6770688\"] \n  6 -> 9 [size =\"6770688\"]\n  7 [size=\"84355072\", alpha=\"0.13\", expect_size=\"42177536\"] \n  7 -> 11 [size =\"42177536\"]\n  8 [size=\"52039680\", alpha=\"0.10\", expect_size=\"26019840\"] \n  8 -> 9 [size =\"26019840\"]\n  8 -> 10 [size =\"26019840\"]\n  8 -> 12 [size =\"26019840\"]\n  9 [size=\"104753152\", alpha=\"0.18\", expect_size=\"52376576\"] \n  9 -> 15 [size =\"52376576\"]\n  10 [size=\"81190912\", alpha=\"0.05\", expect_size=\"40595456\"] \n  10 -> 13 [size =\"40595456\"]\n  10 -> 16 [size =\"40595456\"]\n  11 [size=\"55863296\", alpha=\"0.15\", expect_size=\"27931648\"] \n  11 -> 14 [size =\"27931648\"]\n  12 [size=\"45727744\", alpha=\"0.10\", expect_size=\"22863872\"] \n  12 -> 16 [size =\"22863872\"]\n  13 [size=\"67743744\", alpha=\"0.10\", expect_size=\"33871872\"] \n  13 -> 17 [size =\"33871872\"]\n  14 [size=\"50214912\", alpha=\"0.19\", expect_size=\"25107456\"] \n  15 [size=\"102944768\", alpha=\"0.18\", expect_size=\"51472384\"] \n  16 [size=\"70135808\", alpha=\"0.20\", expect_size=\"35067904\"] \n  16 -> 18 [size =\"35067904\"]\n  16 -> 19 [size =\"35067904\"]\n  17 [size=\"42385408\", alpha=\"0.01\", expect_size=\"21192704\"] \n  17 -> 20 [size =\"21192704\"]\n  17 -> 21 [size =\"21192704\"]\n  18 [size=\"101623808\", alpha=\"0.08\", expect_size=\"50811904\"] \n  19 [size=\"55685120\", alpha=\"0.03\", expect_size=\"27842560\"] \n  20 [size=\"45309952\", alpha=\"0.18\", expect_size=\"22654976\"] \n  20 -> 22 [size =\"22654976\"]\n  20 -> 23 [size =\"22654976\"]\n  20 -> 24 [size =\"22654976\"]\n  20 -> 25 [size =\"22654976\"]\n  21 [size=\"68636672\", alpha=\"0.12\", expect_size=\"34318336\"] \n  21 -> 24 [size =\"34318336\"]\n  21 -> 25 [size =\"34318336\"]\n  22 [size=\"46198784\", alpha=\"0.04\", expect_size=\"23099392\"] \n  22 -> 28 [size =\"23099392\"]\n  23 [size=\"94439424\", alpha=\"0.08\", expect_size=\"47219712\"] \n  23 -> 26 [size =\"47219712\"]\n  24 [size=\"44961792\", alpha=\"0.14\", expect_size=\"22480896\"] \n  24 -> 28 [size =\"22480896\"]\n  25 [size=\"42199040\", alpha=\"0.16\", expect_size=\"21099520\"] \n  25 -> 26 [size =\"21099520\"]\n  25 -> 27 [size =\"21099520\"]\n  25 -> 28 [size =\"21099520\"]\n  26 [size=\"33693696\", alpha=\"0.19\", expect_size=\"16846848\"] \n  26 -> 29 [size =\"16846848\"]\n  26 -> 30 [size =\"16846848\"]\n  27 [size=\"33468416\", alpha=\"0.18\", expect_size=\"16734208\"] \n  28 [size=\"38246400\", alpha=\"0.05\", expect_size=\"19123200\"] \n  28 -> 30 [size =\"19123200\"]\n  29 [size=\"76808192\", alpha=\"0.12\", expect_size=\"38404096\"] \n  29 -> 31 [size =\"38404096\"]\n  29 -> 32 [size =\"38404096\"]\n  30 [size=\"90077184\", alpha=\"0.14\", expect_size=\"45038592\"] \n  31 [size=\"81774592\", alpha=\"0.06\", expect_size=\"40887296\"] \n  31 -> 34 [size =\"40887296\"]\n  31 -> 35 [size =\"40887296\"]\n  32 [size=\"43513856\", alpha=\"0.05\", expect_size=\"21756928\"] \n  32 -> 33 [size =\"21756928\"]\n  33 [size=\"60377088\", alpha=\"0.16\", expect_size=\"30188544\"] \n  34 [size=\"99571712\", alpha=\"0.16\", expect_size=\"49785856\"] \n  34 -> 36 [size =\"49785856\"]\n  35 [size=\"73320448\", alpha=\"0.15\", expect_size=\"36660224\"] \n  35 -> 36 [size =\"36660224\"]\n  36 [size=\"56737792\", alpha=\"0.07\", expect_size=\"28368896\"] \n  36 -> 37 [size =\"28368896\"]\n  36 -> 38 [size =\"28368896\"]\n  37 [size=\"52881408\", alpha=\"0.06\", expect_size=\"26440704\"] \n  37 -> 39 [size =\"26440704\"]\n  37 -> 40 [size =\"26440704\"]\n  38 [size=\"41250816\", alpha=\"0.04\", expect_size=\"20625408\"] \n  38 -> 39 [size =\"20625408\"]\n  38 -> 40 [size =\"20625408\"]\n  39 [size=\"63399936\", alpha=\"0.12\", expect_size=\"31699968\"] \n  40 [size=\"24854528\", alpha=\"0.07\", expect_size=\"12427264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50078720\", alpha=\"0.17\", expect_size=\"20031488\"] \n  1 -> 4 [size =\"20031488\"]\n  1 -> 6 [size =\"20031488\"]\n  2 [size=\"123202560\", alpha=\"0.11\", expect_size=\"49281024\"] \n  2 -> 4 [size =\"49281024\"]\n  3 [size=\"46835200\", alpha=\"0.00\", expect_size=\"18734080\"] \n  3 -> 4 [size =\"18734080\"]\n  3 -> 5 [size =\"18734080\"]\n  3 -> 6 [size =\"18734080\"]\n  4 [size=\"56309760\", alpha=\"0.03\", expect_size=\"22523904\"] \n  4 -> 8 [size =\"22523904\"]\n  5 [size=\"77171200\", alpha=\"0.15\", expect_size=\"30868480\"] \n  6 [size=\"43760640\", alpha=\"0.18\", expect_size=\"17504256\"] \n  6 -> 7 [size =\"17504256\"]\n  7 [size=\"71400960\", alpha=\"0.15\", expect_size=\"28560384\"] \n  7 -> 9 [size =\"28560384\"]\n  8 [size=\"33254400\", alpha=\"0.11\", expect_size=\"13301760\"] \n  8 -> 10 [size =\"13301760\"]\n  9 [size=\"35223040\", alpha=\"0.09\", expect_size=\"14089216\"] \n  9 -> 11 [size =\"14089216\"]\n  9 -> 12 [size =\"14089216\"]\n  10 [size=\"110827520\", alpha=\"0.18\", expect_size=\"44331008\"] \n  10 -> 11 [size =\"44331008\"]\n  11 [size=\"96448000\", alpha=\"0.19\", expect_size=\"38579200\"] \n  11 -> 13 [size =\"38579200\"]\n  11 -> 14 [size =\"38579200\"]\n  11 -> 15 [size =\"38579200\"]\n  11 -> 16 [size =\"38579200\"]\n  12 [size=\"79534080\", alpha=\"0.14\", expect_size=\"31813632\"] \n  12 -> 14 [size =\"31813632\"]\n  12 -> 15 [size =\"31813632\"]\n  13 [size=\"28945920\", alpha=\"0.08\", expect_size=\"11578368\"] \n  14 [size=\"31408640\", alpha=\"0.12\", expect_size=\"12563456\"] \n  14 -> 17 [size =\"12563456\"]\n  15 [size=\"46574080\", alpha=\"0.10\", expect_size=\"18629632\"] \n  15 -> 17 [size =\"18629632\"]\n  15 -> 18 [size =\"18629632\"]\n  16 [size=\"15905280\", alpha=\"0.01\", expect_size=\"6362112\"] \n  16 -> 19 [size =\"6362112\"]\n  17 [size=\"123645440\", alpha=\"0.19\", expect_size=\"49458176\"] \n  17 -> 20 [size =\"49458176\"]\n  18 [size=\"94348800\", alpha=\"0.19\", expect_size=\"37739520\"] \n  18 -> 20 [size =\"37739520\"]\n  19 [size=\"43146240\", alpha=\"0.17\", expect_size=\"17258496\"] \n  20 [size=\"97991680\", alpha=\"0.17\", expect_size=\"39196672\"] \n  20 -> 21 [size =\"39196672\"]\n  20 -> 22 [size =\"39196672\"]\n  20 -> 23 [size =\"39196672\"]\n  21 [size=\"88537600\", alpha=\"0.03\", expect_size=\"35415040\"] \n  21 -> 24 [size =\"35415040\"]\n  22 [size=\"84656640\", alpha=\"0.08\", expect_size=\"33862656\"] \n  22 -> 24 [size =\"33862656\"]\n  23 [size=\"46348800\", alpha=\"0.18\", expect_size=\"18539520\"] \n  24 [size=\"94051840\", alpha=\"0.16\", expect_size=\"37620736\"] \n  24 -> 25 [size =\"37620736\"]\n  24 -> 26 [size =\"37620736\"]\n  24 -> 27 [size =\"37620736\"]\n  24 -> 28 [size =\"37620736\"]\n  25 [size=\"49423360\", alpha=\"0.05\", expect_size=\"19769344\"] \n  25 -> 29 [size =\"19769344\"]\n  25 -> 30 [size =\"19769344\"]\n  26 [size=\"105966080\", alpha=\"0.19\", expect_size=\"42386432\"] \n  26 -> 31 [size =\"42386432\"]\n  27 [size=\"108979200\", alpha=\"0.03\", expect_size=\"43591680\"] \n  27 -> 31 [size =\"43591680\"]\n  27 -> 32 [size =\"43591680\"]\n  28 [size=\"104243200\", alpha=\"0.10\", expect_size=\"41697280\"] \n  28 -> 29 [size =\"41697280\"]\n  28 -> 30 [size =\"41697280\"]\n  28 -> 31 [size =\"41697280\"]\n  28 -> 32 [size =\"41697280\"]\n  29 [size=\"100111360\", alpha=\"0.01\", expect_size=\"40044544\"] \n  29 -> 33 [size =\"40044544\"]\n  29 -> 35 [size =\"40044544\"]\n  30 [size=\"79864320\", alpha=\"0.09\", expect_size=\"31945728\"] \n  30 -> 33 [size =\"31945728\"]\n  31 [size=\"59374080\", alpha=\"0.11\", expect_size=\"23749632\"] \n  32 [size=\"75614720\", alpha=\"0.04\", expect_size=\"30245888\"] \n  32 -> 33 [size =\"30245888\"]\n  32 -> 34 [size =\"30245888\"]\n  32 -> 35 [size =\"30245888\"]\n  33 [size=\"120719360\", alpha=\"0.19\", expect_size=\"48287744\"] \n  33 -> 36 [size =\"48287744\"]\n  34 [size=\"110451200\", alpha=\"0.18\", expect_size=\"44180480\"] \n  35 [size=\"88017920\", alpha=\"0.03\", expect_size=\"35207168\"] \n  35 -> 36 [size =\"35207168\"]\n  36 [size=\"117483520\", alpha=\"0.07\", expect_size=\"46993408\"] \n  36 -> 37 [size =\"46993408\"]\n  36 -> 38 [size =\"46993408\"]\n  37 [size=\"111541760\", alpha=\"0.11\", expect_size=\"44616704\"] \n  37 -> 39 [size =\"44616704\"]\n  37 -> 40 [size =\"44616704\"]\n  38 [size=\"128481280\", alpha=\"0.09\", expect_size=\"51392512\"] \n  38 -> 40 [size =\"51392512\"]\n  39 [size=\"70489600\", alpha=\"0.11\", expect_size=\"28195840\"] \n  40 [size=\"77647360\", alpha=\"0.08\", expect_size=\"31058944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102233600\", alpha=\"0.12\", expect_size=\"40893440\"] \n  1 -> 32 [size =\"40893440\"]\n  1 -> 36 [size =\"40893440\"]\n  1 -> 39 [size =\"40893440\"]\n  1 -> 40 [size =\"40893440\"]\n  2 [size=\"61360640\", alpha=\"0.15\", expect_size=\"24544256\"] \n  2 -> 24 [size =\"24544256\"]\n  2 -> 26 [size =\"24544256\"]\n  2 -> 27 [size =\"24544256\"]\n  2 -> 30 [size =\"24544256\"]\n  2 -> 31 [size =\"24544256\"]\n  2 -> 32 [size =\"24544256\"]\n  2 -> 35 [size =\"24544256\"]\n  2 -> 38 [size =\"24544256\"]\n  2 -> 40 [size =\"24544256\"]\n  3 [size=\"62492160\", alpha=\"0.02\", expect_size=\"24996864\"] \n  3 -> 26 [size =\"24996864\"]\n  3 -> 29 [size =\"24996864\"]\n  3 -> 30 [size =\"24996864\"]\n  3 -> 32 [size =\"24996864\"]\n  3 -> 33 [size =\"24996864\"]\n  3 -> 38 [size =\"24996864\"]\n  4 [size=\"95825920\", alpha=\"0.17\", expect_size=\"38330368\"] \n  4 -> 26 [size =\"38330368\"]\n  4 -> 28 [size =\"38330368\"]\n  4 -> 31 [size =\"38330368\"]\n  4 -> 33 [size =\"38330368\"]\n  4 -> 38 [size =\"38330368\"]\n  4 -> 39 [size =\"38330368\"]\n  5 [size=\"16294400\", alpha=\"0.12\", expect_size=\"6517760\"] \n  5 -> 26 [size =\"6517760\"]\n  5 -> 28 [size =\"6517760\"]\n  5 -> 29 [size =\"6517760\"]\n  5 -> 31 [size =\"6517760\"]\n  5 -> 38 [size =\"6517760\"]\n  5 -> 39 [size =\"6517760\"]\n  5 -> 40 [size =\"6517760\"]\n  6 [size=\"124595200\", alpha=\"0.04\", expect_size=\"49838080\"] \n  6 -> 26 [size =\"49838080\"]\n  6 -> 30 [size =\"49838080\"]\n  6 -> 31 [size =\"49838080\"]\n  6 -> 32 [size =\"49838080\"]\n  6 -> 33 [size =\"49838080\"]\n  6 -> 34 [size =\"49838080\"]\n  6 -> 39 [size =\"49838080\"]\n  7 [size=\"19379200\", alpha=\"0.13\", expect_size=\"7751680\"] \n  7 -> 30 [size =\"7751680\"]\n  7 -> 31 [size =\"7751680\"]\n  7 -> 33 [size =\"7751680\"]\n  7 -> 34 [size =\"7751680\"]\n  7 -> 37 [size =\"7751680\"]\n  8 [size=\"60672000\", alpha=\"0.06\", expect_size=\"24268800\"] \n  8 -> 24 [size =\"24268800\"]\n  8 -> 31 [size =\"24268800\"]\n  8 -> 32 [size =\"24268800\"]\n  8 -> 33 [size =\"24268800\"]\n  8 -> 34 [size =\"24268800\"]\n  9 [size=\"72074240\", alpha=\"0.15\", expect_size=\"28829696\"] \n  9 -> 24 [size =\"28829696\"]\n  9 -> 26 [size =\"28829696\"]\n  9 -> 27 [size =\"28829696\"]\n  9 -> 28 [size =\"28829696\"]\n  9 -> 29 [size =\"28829696\"]\n  9 -> 33 [size =\"28829696\"]\n  9 -> 39 [size =\"28829696\"]\n  10 [size=\"123581440\", alpha=\"0.01\", expect_size=\"49432576\"] \n  10 -> 28 [size =\"49432576\"]\n  10 -> 29 [size =\"49432576\"]\n  10 -> 32 [size =\"49432576\"]\n  10 -> 37 [size =\"49432576\"]\n  10 -> 38 [size =\"49432576\"]\n  10 -> 39 [size =\"49432576\"]\n  11 [size=\"13329920\", alpha=\"0.05\", expect_size=\"5331968\"] \n  11 -> 24 [size =\"5331968\"]\n  11 -> 26 [size =\"5331968\"]\n  11 -> 29 [size =\"5331968\"]\n  11 -> 30 [size =\"5331968\"]\n  11 -> 31 [size =\"5331968\"]\n  11 -> 33 [size =\"5331968\"]\n  11 -> 39 [size =\"5331968\"]\n  12 [size=\"86679040\", alpha=\"0.18\", expect_size=\"34671616\"] \n  12 -> 30 [size =\"34671616\"]\n  12 -> 31 [size =\"34671616\"]\n  12 -> 32 [size =\"34671616\"]\n  12 -> 37 [size =\"34671616\"]\n  13 [size=\"57372160\", alpha=\"0.19\", expect_size=\"22948864\"] \n  13 -> 30 [size =\"22948864\"]\n  13 -> 32 [size =\"22948864\"]\n  13 -> 33 [size =\"22948864\"]\n  13 -> 36 [size =\"22948864\"]\n  13 -> 38 [size =\"22948864\"]\n  14 [size=\"67059200\", alpha=\"0.03\", expect_size=\"26823680\"] \n  14 -> 28 [size =\"26823680\"]\n  14 -> 33 [size =\"26823680\"]\n  14 -> 37 [size =\"26823680\"]\n  15 [size=\"50462720\", alpha=\"0.19\", expect_size=\"20185088\"] \n  15 -> 28 [size =\"20185088\"]\n  15 -> 29 [size =\"20185088\"]\n  15 -> 30 [size =\"20185088\"]\n  15 -> 32 [size =\"20185088\"]\n  16 [size=\"121374720\", alpha=\"0.07\", expect_size=\"48549888\"] \n  16 -> 25 [size =\"48549888\"]\n  16 -> 29 [size =\"48549888\"]\n  16 -> 30 [size =\"48549888\"]\n  16 -> 32 [size =\"48549888\"]\n  16 -> 33 [size =\"48549888\"]\n  16 -> 39 [size =\"48549888\"]\n  17 [size=\"29785600\", alpha=\"0.04\", expect_size=\"11914240\"] \n  17 -> 29 [size =\"11914240\"]\n  17 -> 29 [size =\"11914240\"]\n  17 -> 32 [size =\"11914240\"]\n  17 -> 33 [size =\"11914240\"]\n  17 -> 40 [size =\"11914240\"]\n  18 [size=\"106155520\", alpha=\"0.12\", expect_size=\"42462208\"] \n  18 -> 25 [size =\"42462208\"]\n  18 -> 29 [size =\"42462208\"]\n  18 -> 30 [size =\"42462208\"]\n  18 -> 33 [size =\"42462208\"]\n  18 -> 34 [size =\"42462208\"]\n  18 -> 35 [size =\"42462208\"]\n  18 -> 39 [size =\"42462208\"]\n  19 [size=\"21524480\", alpha=\"0.00\", expect_size=\"8609792\"] \n  19 -> 25 [size =\"8609792\"]\n  19 -> 26 [size =\"8609792\"]\n  19 -> 28 [size =\"8609792\"]\n  19 -> 29 [size =\"8609792\"]\n  19 -> 30 [size =\"8609792\"]\n  19 -> 34 [size =\"8609792\"]\n  19 -> 36 [size =\"8609792\"]\n  19 -> 39 [size =\"8609792\"]\n  20 [size=\"110581760\", alpha=\"0.14\", expect_size=\"44232704\"] \n  20 -> 26 [size =\"44232704\"]\n  20 -> 27 [size =\"44232704\"]\n  20 -> 28 [size =\"44232704\"]\n  20 -> 30 [size =\"44232704\"]\n  20 -> 33 [size =\"44232704\"]\n  20 -> 34 [size =\"44232704\"]\n  20 -> 36 [size =\"44232704\"]\n  20 -> 37 [size =\"44232704\"]\n  21 [size=\"118469120\", alpha=\"0.03\", expect_size=\"47387648\"] \n  21 -> 24 [size =\"47387648\"]\n  21 -> 26 [size =\"47387648\"]\n  21 -> 29 [size =\"47387648\"]\n  21 -> 33 [size =\"47387648\"]\n  21 -> 34 [size =\"47387648\"]\n  21 -> 36 [size =\"47387648\"]\n  21 -> 39 [size =\"47387648\"]\n  22 [size=\"31452160\", alpha=\"0.19\", expect_size=\"12580864\"] \n  22 -> 26 [size =\"12580864\"]\n  22 -> 26 [size =\"12580864\"]\n  22 -> 28 [size =\"12580864\"]\n  22 -> 34 [size =\"12580864\"]\n  22 -> 38 [size =\"12580864\"]\n  22 -> 39 [size =\"12580864\"]\n  23 [size=\"20613120\", alpha=\"0.05\", expect_size=\"8245248\"] \n  23 -> 26 [size =\"8245248\"]\n  23 -> 28 [size =\"8245248\"]\n  23 -> 31 [size =\"8245248\"]\n  24 [size=\"16504320\", alpha=\"0.04\", expect_size=\"6601728\"] \n  25 [size=\"33866240\", alpha=\"0.04\", expect_size=\"13546496\"] \n  26 [size=\"25195520\", alpha=\"0.02\", expect_size=\"10078208\"] \n  27 [size=\"64302080\", alpha=\"0.02\", expect_size=\"25720832\"] \n  28 [size=\"87091200\", alpha=\"0.10\", expect_size=\"34836480\"] \n  29 [size=\"42506240\", alpha=\"0.08\", expect_size=\"17002496\"] \n  30 [size=\"44190720\", alpha=\"0.04\", expect_size=\"17676288\"] \n  31 [size=\"125949440\", alpha=\"0.01\", expect_size=\"50379776\"] \n  32 [size=\"23009280\", alpha=\"0.10\", expect_size=\"9203712\"] \n  33 [size=\"19560960\", alpha=\"0.07\", expect_size=\"7824384\"] \n  34 [size=\"47024640\", alpha=\"0.12\", expect_size=\"18809856\"] \n  35 [size=\"70156800\", alpha=\"0.04\", expect_size=\"28062720\"] \n  36 [size=\"92142080\", alpha=\"0.15\", expect_size=\"36856832\"] \n  37 [size=\"106508800\", alpha=\"0.08\", expect_size=\"42603520\"] \n  38 [size=\"119526400\", alpha=\"0.17\", expect_size=\"47810560\"] \n  39 [size=\"60800000\", alpha=\"0.08\", expect_size=\"24320000\"] \n  40 [size=\"107256320\", alpha=\"0.15\", expect_size=\"42902528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94419627\", alpha=\"0.07\", expect_size=\"28325888\"] \n  1 -> 13 [size =\"28325888\"]\n  1 -> 14 [size =\"28325888\"]\n  1 -> 15 [size =\"28325888\"]\n  1 -> 16 [size =\"28325888\"]\n  1 -> 18 [size =\"28325888\"]\n  2 [size=\"71079253\", alpha=\"0.04\", expect_size=\"21323776\"] \n  2 -> 10 [size =\"21323776\"]\n  2 -> 11 [size =\"21323776\"]\n  2 -> 16 [size =\"21323776\"]\n  2 -> 17 [size =\"21323776\"]\n  3 [size=\"111848107\", alpha=\"0.10\", expect_size=\"33554432\"] \n  3 -> 10 [size =\"33554432\"]\n  3 -> 12 [size =\"33554432\"]\n  3 -> 13 [size =\"33554432\"]\n  3 -> 15 [size =\"33554432\"]\n  3 -> 17 [size =\"33554432\"]\n  3 -> 18 [size =\"33554432\"]\n  4 [size=\"168700587\", alpha=\"0.04\", expect_size=\"50610176\"] \n  4 -> 10 [size =\"50610176\"]\n  4 -> 11 [size =\"50610176\"]\n  4 -> 12 [size =\"50610176\"]\n  4 -> 16 [size =\"50610176\"]\n  4 -> 18 [size =\"50610176\"]\n  4 -> 20 [size =\"50610176\"]\n  5 [size=\"168881493\", alpha=\"0.06\", expect_size=\"50664448\"] \n  5 -> 11 [size =\"50664448\"]\n  5 -> 15 [size =\"50664448\"]\n  5 -> 18 [size =\"50664448\"]\n  6 [size=\"103208960\", alpha=\"0.19\", expect_size=\"30962688\"] \n  6 -> 10 [size =\"30962688\"]\n  6 -> 12 [size =\"30962688\"]\n  6 -> 14 [size =\"30962688\"]\n  6 -> 17 [size =\"30962688\"]\n  6 -> 19 [size =\"30962688\"]\n  6 -> 21 [size =\"30962688\"]\n  7 [size=\"104017920\", alpha=\"0.08\", expect_size=\"31205376\"] \n  7 -> 12 [size =\"31205376\"]\n  7 -> 14 [size =\"31205376\"]\n  7 -> 16 [size =\"31205376\"]\n  7 -> 20 [size =\"31205376\"]\n  8 [size=\"133498880\", alpha=\"0.16\", expect_size=\"40049664\"] \n  8 -> 10 [size =\"40049664\"]\n  8 -> 13 [size =\"40049664\"]\n  8 -> 18 [size =\"40049664\"]\n  8 -> 20 [size =\"40049664\"]\n  9 [size=\"164621653\", alpha=\"0.08\", expect_size=\"49386496\"] \n  9 -> 12 [size =\"49386496\"]\n  9 -> 15 [size =\"49386496\"]\n  9 -> 16 [size =\"49386496\"]\n  9 -> 17 [size =\"49386496\"]\n  9 -> 18 [size =\"49386496\"]\n  9 -> 20 [size =\"49386496\"]\n  10 [size=\"168939520\", alpha=\"0.15\", expect_size=\"50681856\"] \n  10 -> 23 [size =\"50681856\"]\n  10 -> 24 [size =\"50681856\"]\n  10 -> 26 [size =\"50681856\"]\n  10 -> 28 [size =\"50681856\"]\n  11 [size=\"64221867\", alpha=\"0.12\", expect_size=\"19266560\"] \n  11 -> 25 [size =\"19266560\"]\n  11 -> 26 [size =\"19266560\"]\n  11 -> 28 [size =\"19266560\"]\n  11 -> 31 [size =\"19266560\"]\n  12 [size=\"121791147\", alpha=\"0.13\", expect_size=\"36537344\"] \n  12 -> 27 [size =\"36537344\"]\n  12 -> 28 [size =\"36537344\"]\n  12 -> 31 [size =\"36537344\"]\n  13 [size=\"157061120\", alpha=\"0.03\", expect_size=\"47118336\"] \n  13 -> 24 [size =\"47118336\"]\n  13 -> 26 [size =\"47118336\"]\n  13 -> 28 [size =\"47118336\"]\n  14 [size=\"75598507\", alpha=\"0.13\", expect_size=\"22679552\"] \n  14 -> 23 [size =\"22679552\"]\n  14 -> 26 [size =\"22679552\"]\n  14 -> 27 [size =\"22679552\"]\n  14 -> 28 [size =\"22679552\"]\n  14 -> 29 [size =\"22679552\"]\n  14 -> 30 [size =\"22679552\"]\n  14 -> 31 [size =\"22679552\"]\n  14 -> 32 [size =\"22679552\"]\n  15 [size=\"106356053\", alpha=\"0.03\", expect_size=\"31906816\"] \n  15 -> 23 [size =\"31906816\"]\n  15 -> 28 [size =\"31906816\"]\n  15 -> 31 [size =\"31906816\"]\n  15 -> 32 [size =\"31906816\"]\n  16 [size=\"151650987\", alpha=\"0.07\", expect_size=\"45495296\"] \n  16 -> 23 [size =\"45495296\"]\n  16 -> 26 [size =\"45495296\"]\n  16 -> 29 [size =\"45495296\"]\n  16 -> 31 [size =\"45495296\"]\n  17 [size=\"146315947\", alpha=\"0.10\", expect_size=\"43894784\"] \n  17 -> 23 [size =\"43894784\"]\n  17 -> 29 [size =\"43894784\"]\n  17 -> 31 [size =\"43894784\"]\n  17 -> 31 [size =\"43894784\"]\n  18 [size=\"49332907\", alpha=\"0.18\", expect_size=\"14799872\"] \n  18 -> 23 [size =\"14799872\"]\n  18 -> 29 [size =\"14799872\"]\n  19 [size=\"171677013\", alpha=\"0.19\", expect_size=\"51503104\"] \n  19 -> 23 [size =\"51503104\"]\n  19 -> 26 [size =\"51503104\"]\n  19 -> 27 [size =\"51503104\"]\n  19 -> 29 [size =\"51503104\"]\n  19 -> 30 [size =\"51503104\"]\n  20 [size=\"78025387\", alpha=\"0.08\", expect_size=\"23407616\"] \n  20 -> 26 [size =\"23407616\"]\n  20 -> 27 [size =\"23407616\"]\n  20 -> 28 [size =\"23407616\"]\n  20 -> 29 [size =\"23407616\"]\n  20 -> 31 [size =\"23407616\"]\n  21 [size=\"40970240\", alpha=\"0.07\", expect_size=\"12291072\"] \n  21 -> 22 [size =\"12291072\"]\n  21 -> 25 [size =\"12291072\"]\n  21 -> 29 [size =\"12291072\"]\n  21 -> 30 [size =\"12291072\"]\n  22 [size=\"137540267\", alpha=\"0.13\", expect_size=\"41262080\"] \n  23 [size=\"81288533\", alpha=\"0.10\", expect_size=\"24386560\"] \n  23 -> 34 [size =\"24386560\"]\n  23 -> 36 [size =\"24386560\"]\n  23 -> 37 [size =\"24386560\"]\n  23 -> 38 [size =\"24386560\"]\n  24 [size=\"107400533\", alpha=\"0.07\", expect_size=\"32220160\"] \n  24 -> 34 [size =\"32220160\"]\n  24 -> 35 [size =\"32220160\"]\n  25 [size=\"56234667\", alpha=\"0.03\", expect_size=\"16870400\"] \n  25 -> 34 [size =\"16870400\"]\n  26 [size=\"79301973\", alpha=\"0.10\", expect_size=\"23790592\"] \n  26 -> 33 [size =\"23790592\"]\n  26 -> 34 [size =\"23790592\"]\n  26 -> 36 [size =\"23790592\"]\n  27 [size=\"133191680\", alpha=\"0.09\", expect_size=\"39957504\"] \n  27 -> 34 [size =\"39957504\"]\n  27 -> 36 [size =\"39957504\"]\n  27 -> 36 [size =\"39957504\"]\n  28 [size=\"52333227\", alpha=\"0.01\", expect_size=\"15699968\"] \n  28 -> 34 [size =\"15699968\"]\n  28 -> 36 [size =\"15699968\"]\n  28 -> 38 [size =\"15699968\"]\n  28 -> 39 [size =\"15699968\"]\n  29 [size=\"37058560\", alpha=\"0.13\", expect_size=\"11117568\"] \n  29 -> 35 [size =\"11117568\"]\n  30 [size=\"31433387\", alpha=\"0.04\", expect_size=\"9430016\"] \n  30 -> 39 [size =\"9430016\"]\n  31 [size=\"96959147\", alpha=\"0.00\", expect_size=\"29087744\"] \n  31 -> 36 [size =\"29087744\"]\n  31 -> 38 [size =\"29087744\"]\n  31 -> 40 [size =\"29087744\"]\n  32 [size=\"153296213\", alpha=\"0.10\", expect_size=\"45988864\"] \n  32 -> 33 [size =\"45988864\"]\n  33 [size=\"96764587\", alpha=\"0.18\", expect_size=\"29029376\"] \n  34 [size=\"21729280\", alpha=\"0.13\", expect_size=\"6518784\"] \n  35 [size=\"79424853\", alpha=\"0.19\", expect_size=\"23827456\"] \n  36 [size=\"106683733\", alpha=\"0.03\", expect_size=\"32005120\"] \n  37 [size=\"31948800\", alpha=\"0.03\", expect_size=\"9584640\"] \n  38 [size=\"99051520\", alpha=\"0.07\", expect_size=\"29715456\"] \n  39 [size=\"109448533\", alpha=\"0.10\", expect_size=\"32834560\"] \n  40 [size=\"52995413\", alpha=\"0.01\", expect_size=\"15898624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36099413\", alpha=\"0.00\", expect_size=\"10829824\"] \n  2 [size=\"45605547\", alpha=\"0.17\", expect_size=\"13681664\"] \n  2 -> 4 [size =\"13681664\"]\n  2 -> 5 [size =\"13681664\"]\n  3 [size=\"30050987\", alpha=\"0.18\", expect_size=\"9015296\"] \n  4 [size=\"72379733\", alpha=\"0.17\", expect_size=\"21713920\"] \n  4 -> 8 [size =\"21713920\"]\n  4 -> 9 [size =\"21713920\"]\n  5 [size=\"45236907\", alpha=\"0.14\", expect_size=\"13571072\"] \n  5 -> 6 [size =\"13571072\"]\n  5 -> 7 [size =\"13571072\"]\n  5 -> 8 [size =\"13571072\"]\n  6 [size=\"40369493\", alpha=\"0.18\", expect_size=\"12110848\"] \n  6 -> 10 [size =\"12110848\"]\n  7 [size=\"35095893\", alpha=\"0.15\", expect_size=\"10528768\"] \n  7 -> 11 [size =\"10528768\"]\n  8 [size=\"159771307\", alpha=\"0.04\", expect_size=\"47931392\"] \n  8 -> 11 [size =\"47931392\"]\n  9 [size=\"103294293\", alpha=\"0.06\", expect_size=\"30988288\"] \n  10 [size=\"79554560\", alpha=\"0.18\", expect_size=\"23866368\"] \n  10 -> 12 [size =\"23866368\"]\n  10 -> 13 [size =\"23866368\"]\n  10 -> 14 [size =\"23866368\"]\n  10 -> 15 [size =\"23866368\"]\n  11 [size=\"157194240\", alpha=\"0.04\", expect_size=\"47158272\"] \n  11 -> 13 [size =\"47158272\"]\n  12 [size=\"157542400\", alpha=\"0.02\", expect_size=\"47262720\"] \n  12 -> 16 [size =\"47262720\"]\n  12 -> 17 [size =\"47262720\"]\n  13 [size=\"132768427\", alpha=\"0.11\", expect_size=\"39830528\"] \n  13 -> 16 [size =\"39830528\"]\n  13 -> 17 [size =\"39830528\"]\n  14 [size=\"115042987\", alpha=\"0.15\", expect_size=\"34512896\"] \n  15 [size=\"89593173\", alpha=\"0.07\", expect_size=\"26877952\"] \n  15 -> 16 [size =\"26877952\"]\n  15 -> 17 [size =\"26877952\"]\n  15 -> 18 [size =\"26877952\"]\n  16 [size=\"40939520\", alpha=\"0.14\", expect_size=\"12281856\"] \n  17 [size=\"26429440\", alpha=\"0.11\", expect_size=\"7928832\"] \n  17 -> 19 [size =\"7928832\"]\n  18 [size=\"146746027\", alpha=\"0.10\", expect_size=\"44023808\"] \n  19 [size=\"20244480\", alpha=\"0.07\", expect_size=\"6073344\"] \n  19 -> 20 [size =\"6073344\"]\n  19 -> 21 [size =\"6073344\"]\n  20 [size=\"69744640\", alpha=\"0.19\", expect_size=\"20923392\"] \n  20 -> 22 [size =\"20923392\"]\n  21 [size=\"50858667\", alpha=\"0.14\", expect_size=\"15257600\"] \n  21 -> 23 [size =\"15257600\"]\n  21 -> 24 [size =\"15257600\"]\n  22 [size=\"83288747\", alpha=\"0.12\", expect_size=\"24986624\"] \n  22 -> 28 [size =\"24986624\"]\n  23 [size=\"95201280\", alpha=\"0.12\", expect_size=\"28560384\"] \n  23 -> 25 [size =\"28560384\"]\n  24 [size=\"21732693\", alpha=\"0.19\", expect_size=\"6519808\"] \n  24 -> 25 [size =\"6519808\"]\n  24 -> 26 [size =\"6519808\"]\n  24 -> 27 [size =\"6519808\"]\n  25 [size=\"136734720\", alpha=\"0.09\", expect_size=\"41020416\"] \n  26 [size=\"35229013\", alpha=\"0.03\", expect_size=\"10568704\"] \n  27 [size=\"149015893\", alpha=\"0.18\", expect_size=\"44704768\"] \n  27 -> 29 [size =\"44704768\"]\n  28 [size=\"81093973\", alpha=\"0.12\", expect_size=\"24328192\"] \n  29 [size=\"160170667\", alpha=\"0.16\", expect_size=\"48051200\"] \n  29 -> 30 [size =\"48051200\"]\n  29 -> 31 [size =\"48051200\"]\n  29 -> 32 [size =\"48051200\"]\n  29 -> 33 [size =\"48051200\"]\n  30 [size=\"55302827\", alpha=\"0.09\", expect_size=\"16590848\"] \n  31 [size=\"47656960\", alpha=\"0.19\", expect_size=\"14297088\"] \n  31 -> 34 [size =\"14297088\"]\n  31 -> 35 [size =\"14297088\"]\n  31 -> 36 [size =\"14297088\"]\n  32 [size=\"155849387\", alpha=\"0.07\", expect_size=\"46754816\"] \n  32 -> 34 [size =\"46754816\"]\n  33 [size=\"93446827\", alpha=\"0.10\", expect_size=\"28034048\"] \n  33 -> 34 [size =\"28034048\"]\n  33 -> 35 [size =\"28034048\"]\n  34 [size=\"30310400\", alpha=\"0.05\", expect_size=\"9093120\"] \n  34 -> 38 [size =\"9093120\"]\n  35 [size=\"21336747\", alpha=\"0.09\", expect_size=\"6401024\"] \n  35 -> 39 [size =\"6401024\"]\n  36 [size=\"94300160\", alpha=\"0.17\", expect_size=\"28290048\"] \n  36 -> 37 [size =\"28290048\"]\n  36 -> 39 [size =\"28290048\"]\n  37 [size=\"114800640\", alpha=\"0.05\", expect_size=\"34440192\"] \n  38 [size=\"100468053\", alpha=\"0.10\", expect_size=\"30140416\"] \n  38 -> 40 [size =\"30140416\"]\n  39 [size=\"36307627\", alpha=\"0.15\", expect_size=\"10892288\"] \n  40 [size=\"165430613\", alpha=\"0.07\", expect_size=\"49629184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130819413\", alpha=\"0.16\", expect_size=\"39245824\"] \n  1 -> 13 [size =\"39245824\"]\n  1 -> 17 [size =\"39245824\"]\n  1 -> 18 [size =\"39245824\"]\n  1 -> 19 [size =\"39245824\"]\n  1 -> 20 [size =\"39245824\"]\n  1 -> 23 [size =\"39245824\"]\n  2 [size=\"98542933\", alpha=\"0.01\", expect_size=\"29562880\"] \n  2 -> 19 [size =\"29562880\"]\n  2 -> 22 [size =\"29562880\"]\n  2 -> 23 [size =\"29562880\"]\n  3 [size=\"38150827\", alpha=\"0.02\", expect_size=\"11445248\"] \n  3 -> 15 [size =\"11445248\"]\n  3 -> 16 [size =\"11445248\"]\n  3 -> 22 [size =\"11445248\"]\n  4 [size=\"121456640\", alpha=\"0.01\", expect_size=\"36436992\"] \n  4 -> 16 [size =\"36436992\"]\n  4 -> 23 [size =\"36436992\"]\n  5 [size=\"124484267\", alpha=\"0.01\", expect_size=\"37345280\"] \n  5 -> 15 [size =\"37345280\"]\n  5 -> 16 [size =\"37345280\"]\n  5 -> 17 [size =\"37345280\"]\n  5 -> 20 [size =\"37345280\"]\n  6 [size=\"124798293\", alpha=\"0.13\", expect_size=\"37439488\"] \n  6 -> 15 [size =\"37439488\"]\n  6 -> 16 [size =\"37439488\"]\n  6 -> 17 [size =\"37439488\"]\n  6 -> 19 [size =\"37439488\"]\n  6 -> 20 [size =\"37439488\"]\n  6 -> 23 [size =\"37439488\"]\n  7 [size=\"72485547\", alpha=\"0.06\", expect_size=\"21745664\"] \n  7 -> 14 [size =\"21745664\"]\n  7 -> 16 [size =\"21745664\"]\n  7 -> 17 [size =\"21745664\"]\n  7 -> 18 [size =\"21745664\"]\n  7 -> 22 [size =\"21745664\"]\n  7 -> 23 [size =\"21745664\"]\n  8 [size=\"118333440\", alpha=\"0.11\", expect_size=\"35500032\"] \n  8 -> 13 [size =\"35500032\"]\n  8 -> 16 [size =\"35500032\"]\n  8 -> 17 [size =\"35500032\"]\n  8 -> 20 [size =\"35500032\"]\n  8 -> 21 [size =\"35500032\"]\n  9 [size=\"63037440\", alpha=\"0.07\", expect_size=\"18911232\"] \n  9 -> 23 [size =\"18911232\"]\n  10 [size=\"135092907\", alpha=\"0.08\", expect_size=\"40527872\"] \n  10 -> 14 [size =\"40527872\"]\n  10 -> 16 [size =\"40527872\"]\n  10 -> 19 [size =\"40527872\"]\n  10 -> 20 [size =\"40527872\"]\n  10 -> 22 [size =\"40527872\"]\n  10 -> 23 [size =\"40527872\"]\n  11 [size=\"73956693\", alpha=\"0.13\", expect_size=\"22187008\"] \n  11 -> 15 [size =\"22187008\"]\n  11 -> 21 [size =\"22187008\"]\n  11 -> 22 [size =\"22187008\"]\n  12 [size=\"43455147\", alpha=\"0.18\", expect_size=\"13036544\"] \n  12 -> 14 [size =\"13036544\"]\n  12 -> 19 [size =\"13036544\"]\n  12 -> 20 [size =\"13036544\"]\n  12 -> 22 [size =\"13036544\"]\n  12 -> 23 [size =\"13036544\"]\n  13 [size=\"52592640\", alpha=\"0.01\", expect_size=\"15777792\"] \n  13 -> 24 [size =\"15777792\"]\n  13 -> 26 [size =\"15777792\"]\n  13 -> 32 [size =\"15777792\"]\n  13 -> 34 [size =\"15777792\"]\n  14 [size=\"65423360\", alpha=\"0.10\", expect_size=\"19627008\"] \n  14 -> 24 [size =\"19627008\"]\n  14 -> 26 [size =\"19627008\"]\n  14 -> 27 [size =\"19627008\"]\n  14 -> 28 [size =\"19627008\"]\n  14 -> 29 [size =\"19627008\"]\n  14 -> 31 [size =\"19627008\"]\n  15 [size=\"69700267\", alpha=\"0.01\", expect_size=\"20910080\"] \n  15 -> 30 [size =\"20910080\"]\n  16 [size=\"77994667\", alpha=\"0.00\", expect_size=\"23398400\"] \n  16 -> 25 [size =\"23398400\"]\n  16 -> 28 [size =\"23398400\"]\n  17 [size=\"26610347\", alpha=\"0.13\", expect_size=\"7983104\"] \n  17 -> 24 [size =\"7983104\"]\n  17 -> 26 [size =\"7983104\"]\n  17 -> 27 [size =\"7983104\"]\n  17 -> 28 [size =\"7983104\"]\n  17 -> 30 [size =\"7983104\"]\n  17 -> 32 [size =\"7983104\"]\n  18 [size=\"72239787\", alpha=\"0.17\", expect_size=\"21671936\"] \n  18 -> 25 [size =\"21671936\"]\n  18 -> 28 [size =\"21671936\"]\n  18 -> 31 [size =\"21671936\"]\n  18 -> 33 [size =\"21671936\"]\n  18 -> 34 [size =\"21671936\"]\n  19 [size=\"158071467\", alpha=\"0.03\", expect_size=\"47421440\"] \n  19 -> 25 [size =\"47421440\"]\n  19 -> 31 [size =\"47421440\"]\n  19 -> 31 [size =\"47421440\"]\n  19 -> 33 [size =\"47421440\"]\n  20 [size=\"56064000\", alpha=\"0.10\", expect_size=\"16819200\"] \n  20 -> 26 [size =\"16819200\"]\n  20 -> 27 [size =\"16819200\"]\n  20 -> 29 [size =\"16819200\"]\n  20 -> 33 [size =\"16819200\"]\n  21 [size=\"121808213\", alpha=\"0.11\", expect_size=\"36542464\"] \n  21 -> 24 [size =\"36542464\"]\n  21 -> 25 [size =\"36542464\"]\n  21 -> 26 [size =\"36542464\"]\n  21 -> 27 [size =\"36542464\"]\n  21 -> 29 [size =\"36542464\"]\n  21 -> 31 [size =\"36542464\"]\n  21 -> 34 [size =\"36542464\"]\n  22 [size=\"66150400\", alpha=\"0.02\", expect_size=\"19845120\"] \n  22 -> 25 [size =\"19845120\"]\n  22 -> 25 [size =\"19845120\"]\n  22 -> 27 [size =\"19845120\"]\n  22 -> 27 [size =\"19845120\"]\n  22 -> 31 [size =\"19845120\"]\n  22 -> 31 [size =\"19845120\"]\n  22 -> 34 [size =\"19845120\"]\n  23 [size=\"48971093\", alpha=\"0.17\", expect_size=\"14691328\"] \n  23 -> 24 [size =\"14691328\"]\n  23 -> 28 [size =\"14691328\"]\n  24 [size=\"57634133\", alpha=\"0.04\", expect_size=\"17290240\"] \n  24 -> 38 [size =\"17290240\"]\n  24 -> 40 [size =\"17290240\"]\n  25 [size=\"139714560\", alpha=\"0.05\", expect_size=\"41914368\"] \n  25 -> 39 [size =\"41914368\"]\n  26 [size=\"146135040\", alpha=\"0.19\", expect_size=\"43840512\"] \n  26 -> 37 [size =\"43840512\"]\n  26 -> 38 [size =\"43840512\"]\n  26 -> 39 [size =\"43840512\"]\n  27 [size=\"148370773\", alpha=\"0.01\", expect_size=\"44511232\"] \n  27 -> 37 [size =\"44511232\"]\n  27 -> 38 [size =\"44511232\"]\n  28 [size=\"89784320\", alpha=\"0.15\", expect_size=\"26935296\"] \n  28 -> 37 [size =\"26935296\"]\n  29 [size=\"68737707\", alpha=\"0.15\", expect_size=\"20621312\"] \n  29 -> 35 [size =\"20621312\"]\n  29 -> 36 [size =\"20621312\"]\n  29 -> 38 [size =\"20621312\"]\n  29 -> 39 [size =\"20621312\"]\n  30 [size=\"94248960\", alpha=\"0.10\", expect_size=\"28274688\"] \n  30 -> 37 [size =\"28274688\"]\n  30 -> 39 [size =\"28274688\"]\n  31 [size=\"172503040\", alpha=\"0.13\", expect_size=\"51750912\"] \n  31 -> 39 [size =\"51750912\"]\n  32 [size=\"102273707\", alpha=\"0.18\", expect_size=\"30682112\"] \n  32 -> 39 [size =\"30682112\"]\n  33 [size=\"121917440\", alpha=\"0.08\", expect_size=\"36575232\"] \n  33 -> 38 [size =\"36575232\"]\n  33 -> 40 [size =\"36575232\"]\n  34 [size=\"94815573\", alpha=\"0.04\", expect_size=\"28444672\"] \n  34 -> 38 [size =\"28444672\"]\n  34 -> 39 [size =\"28444672\"]\n  34 -> 40 [size =\"28444672\"]\n  35 [size=\"124951893\", alpha=\"0.07\", expect_size=\"37485568\"] \n  36 [size=\"162051413\", alpha=\"0.18\", expect_size=\"48615424\"] \n  37 [size=\"156149760\", alpha=\"0.09\", expect_size=\"46844928\"] \n  38 [size=\"162256213\", alpha=\"0.08\", expect_size=\"48676864\"] \n  39 [size=\"123948373\", alpha=\"0.04\", expect_size=\"37184512\"] \n  40 [size=\"86784000\", alpha=\"0.06\", expect_size=\"26035200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23703040\", alpha=\"0.11\", expect_size=\"9481216\"] \n  1 -> 13 [size =\"9481216\"]\n  1 -> 14 [size =\"9481216\"]\n  1 -> 15 [size =\"9481216\"]\n  1 -> 16 [size =\"9481216\"]\n  1 -> 21 [size =\"9481216\"]\n  1 -> 22 [size =\"9481216\"]\n  1 -> 23 [size =\"9481216\"]\n  2 [size=\"25712640\", alpha=\"0.05\", expect_size=\"10285056\"] \n  2 -> 13 [size =\"10285056\"]\n  2 -> 14 [size =\"10285056\"]\n  2 -> 22 [size =\"10285056\"]\n  2 -> 23 [size =\"10285056\"]\n  2 -> 24 [size =\"10285056\"]\n  3 [size=\"31052800\", alpha=\"0.18\", expect_size=\"12421120\"] \n  3 -> 13 [size =\"12421120\"]\n  3 -> 14 [size =\"12421120\"]\n  3 -> 16 [size =\"12421120\"]\n  3 -> 22 [size =\"12421120\"]\n  3 -> 23 [size =\"12421120\"]\n  3 -> 24 [size =\"12421120\"]\n  4 [size=\"103562240\", alpha=\"0.09\", expect_size=\"41424896\"] \n  4 -> 13 [size =\"41424896\"]\n  4 -> 14 [size =\"41424896\"]\n  4 -> 16 [size =\"41424896\"]\n  4 -> 17 [size =\"41424896\"]\n  4 -> 21 [size =\"41424896\"]\n  4 -> 23 [size =\"41424896\"]\n  5 [size=\"18562560\", alpha=\"0.09\", expect_size=\"7425024\"] \n  5 -> 15 [size =\"7425024\"]\n  5 -> 17 [size =\"7425024\"]\n  5 -> 18 [size =\"7425024\"]\n  6 [size=\"14215680\", alpha=\"0.16\", expect_size=\"5686272\"] \n  6 -> 16 [size =\"5686272\"]\n  6 -> 17 [size =\"5686272\"]\n  6 -> 18 [size =\"5686272\"]\n  6 -> 19 [size =\"5686272\"]\n  6 -> 20 [size =\"5686272\"]\n  6 -> 23 [size =\"5686272\"]\n  7 [size=\"102709760\", alpha=\"0.05\", expect_size=\"41083904\"] \n  7 -> 18 [size =\"41083904\"]\n  7 -> 22 [size =\"41083904\"]\n  7 -> 24 [size =\"41083904\"]\n  8 [size=\"84480000\", alpha=\"0.19\", expect_size=\"33792000\"] \n  8 -> 13 [size =\"33792000\"]\n  8 -> 18 [size =\"33792000\"]\n  9 [size=\"69862400\", alpha=\"0.12\", expect_size=\"27944960\"] \n  9 -> 17 [size =\"27944960\"]\n  9 -> 24 [size =\"27944960\"]\n  10 [size=\"90657280\", alpha=\"0.05\", expect_size=\"36262912\"] \n  10 -> 13 [size =\"36262912\"]\n  10 -> 14 [size =\"36262912\"]\n  10 -> 17 [size =\"36262912\"]\n  10 -> 18 [size =\"36262912\"]\n  10 -> 19 [size =\"36262912\"]\n  10 -> 24 [size =\"36262912\"]\n  11 [size=\"120524800\", alpha=\"0.19\", expect_size=\"48209920\"] \n  11 -> 14 [size =\"48209920\"]\n  11 -> 23 [size =\"48209920\"]\n  12 [size=\"65098240\", alpha=\"0.16\", expect_size=\"26039296\"] \n  12 -> 14 [size =\"26039296\"]\n  12 -> 15 [size =\"26039296\"]\n  12 -> 16 [size =\"26039296\"]\n  12 -> 18 [size =\"26039296\"]\n  12 -> 21 [size =\"26039296\"]\n  12 -> 23 [size =\"26039296\"]\n  13 [size=\"92213760\", alpha=\"0.06\", expect_size=\"36885504\"] \n  13 -> 26 [size =\"36885504\"]\n  13 -> 28 [size =\"36885504\"]\n  13 -> 29 [size =\"36885504\"]\n  13 -> 33 [size =\"36885504\"]\n  14 [size=\"78894080\", alpha=\"0.15\", expect_size=\"31557632\"] \n  14 -> 27 [size =\"31557632\"]\n  14 -> 29 [size =\"31557632\"]\n  14 -> 30 [size =\"31557632\"]\n  14 -> 32 [size =\"31557632\"]\n  15 [size=\"14003200\", alpha=\"0.16\", expect_size=\"5601280\"] \n  15 -> 25 [size =\"5601280\"]\n  15 -> 27 [size =\"5601280\"]\n  15 -> 28 [size =\"5601280\"]\n  15 -> 29 [size =\"5601280\"]\n  15 -> 35 [size =\"5601280\"]\n  15 -> 36 [size =\"5601280\"]\n  16 [size=\"66301440\", alpha=\"0.18\", expect_size=\"26520576\"] \n  16 -> 25 [size =\"26520576\"]\n  16 -> 27 [size =\"26520576\"]\n  16 -> 28 [size =\"26520576\"]\n  16 -> 29 [size =\"26520576\"]\n  16 -> 30 [size =\"26520576\"]\n  16 -> 32 [size =\"26520576\"]\n  17 [size=\"41144320\", alpha=\"0.15\", expect_size=\"16457728\"] \n  17 -> 25 [size =\"16457728\"]\n  17 -> 32 [size =\"16457728\"]\n  18 [size=\"71247360\", alpha=\"0.19\", expect_size=\"28498944\"] \n  18 -> 27 [size =\"28498944\"]\n  18 -> 28 [size =\"28498944\"]\n  18 -> 29 [size =\"28498944\"]\n  18 -> 33 [size =\"28498944\"]\n  19 [size=\"64599040\", alpha=\"0.07\", expect_size=\"25839616\"] \n  19 -> 27 [size =\"25839616\"]\n  19 -> 33 [size =\"25839616\"]\n  20 [size=\"16419840\", alpha=\"0.03\", expect_size=\"6567936\"] \n  20 -> 26 [size =\"6567936\"]\n  20 -> 28 [size =\"6567936\"]\n  20 -> 30 [size =\"6567936\"]\n  20 -> 31 [size =\"6567936\"]\n  20 -> 36 [size =\"6567936\"]\n  21 [size=\"47644160\", alpha=\"0.01\", expect_size=\"19057664\"] \n  21 -> 26 [size =\"19057664\"]\n  21 -> 30 [size =\"19057664\"]\n  21 -> 31 [size =\"19057664\"]\n  21 -> 32 [size =\"19057664\"]\n  21 -> 34 [size =\"19057664\"]\n  21 -> 36 [size =\"19057664\"]\n  21 -> 37 [size =\"19057664\"]\n  22 [size=\"40087040\", alpha=\"0.01\", expect_size=\"16034816\"] \n  22 -> 27 [size =\"16034816\"]\n  22 -> 28 [size =\"16034816\"]\n  22 -> 30 [size =\"16034816\"]\n  22 -> 32 [size =\"16034816\"]\n  22 -> 34 [size =\"16034816\"]\n  22 -> 35 [size =\"16034816\"]\n  22 -> 37 [size =\"16034816\"]\n  23 [size=\"15700480\", alpha=\"0.03\", expect_size=\"6280192\"] \n  23 -> 26 [size =\"6280192\"]\n  23 -> 30 [size =\"6280192\"]\n  23 -> 32 [size =\"6280192\"]\n  23 -> 34 [size =\"6280192\"]\n  24 [size=\"49123840\", alpha=\"0.02\", expect_size=\"19649536\"] \n  24 -> 26 [size =\"19649536\"]\n  24 -> 29 [size =\"19649536\"]\n  24 -> 30 [size =\"19649536\"]\n  24 -> 33 [size =\"19649536\"]\n  25 [size=\"17937920\", alpha=\"0.01\", expect_size=\"7175168\"] \n  25 -> 39 [size =\"7175168\"]\n  26 [size=\"110638080\", alpha=\"0.00\", expect_size=\"44255232\"] \n  26 -> 39 [size =\"44255232\"]\n  27 [size=\"99673600\", alpha=\"0.15\", expect_size=\"39869440\"] \n  27 -> 38 [size =\"39869440\"]\n  28 [size=\"72107520\", alpha=\"0.01\", expect_size=\"28843008\"] \n  28 -> 39 [size =\"28843008\"]\n  29 [size=\"63713280\", alpha=\"0.18\", expect_size=\"25485312\"] \n  29 -> 39 [size =\"25485312\"]\n  30 [size=\"105902080\", alpha=\"0.07\", expect_size=\"42360832\"] \n  30 -> 40 [size =\"42360832\"]\n  31 [size=\"123934720\", alpha=\"0.15\", expect_size=\"49573888\"] \n  31 -> 39 [size =\"49573888\"]\n  32 [size=\"128409600\", alpha=\"0.11\", expect_size=\"51363840\"] \n  33 [size=\"13967360\", alpha=\"0.01\", expect_size=\"5586944\"] \n  33 -> 39 [size =\"5586944\"]\n  34 [size=\"34483200\", alpha=\"0.02\", expect_size=\"13793280\"] \n  35 [size=\"44487680\", alpha=\"0.03\", expect_size=\"17795072\"] \n  35 -> 39 [size =\"17795072\"]\n  36 [size=\"49438720\", alpha=\"0.13\", expect_size=\"19775488\"] \n  36 -> 39 [size =\"19775488\"]\n  37 [size=\"50442240\", alpha=\"0.08\", expect_size=\"20176896\"] \n  38 [size=\"19138560\", alpha=\"0.13\", expect_size=\"7655424\"] \n  39 [size=\"26903040\", alpha=\"0.06\", expect_size=\"10761216\"] \n  40 [size=\"130490880\", alpha=\"0.00\", expect_size=\"52196352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95342080\", alpha=\"0.18\", expect_size=\"38136832\"] \n  2 [size=\"92270080\", alpha=\"0.04\", expect_size=\"36908032\"] \n  2 -> 7 [size =\"36908032\"]\n  2 -> 10 [size =\"36908032\"]\n  2 -> 11 [size =\"36908032\"]\n  3 [size=\"115755520\", alpha=\"0.17\", expect_size=\"46302208\"] \n  3 -> 9 [size =\"46302208\"]\n  3 -> 10 [size =\"46302208\"]\n  4 [size=\"61360640\", alpha=\"0.07\", expect_size=\"24544256\"] \n  4 -> 7 [size =\"24544256\"]\n  4 -> 8 [size =\"24544256\"]\n  4 -> 9 [size =\"24544256\"]\n  5 [size=\"52318720\", alpha=\"0.18\", expect_size=\"20927488\"] \n  5 -> 6 [size =\"20927488\"]\n  5 -> 11 [size =\"20927488\"]\n  6 [size=\"91471360\", alpha=\"0.14\", expect_size=\"36588544\"] \n  6 -> 12 [size =\"36588544\"]\n  6 -> 13 [size =\"36588544\"]\n  7 [size=\"20482560\", alpha=\"0.17\", expect_size=\"8193024\"] \n  7 -> 12 [size =\"8193024\"]\n  7 -> 13 [size =\"8193024\"]\n  7 -> 15 [size =\"8193024\"]\n  7 -> 16 [size =\"8193024\"]\n  8 [size=\"91540480\", alpha=\"0.17\", expect_size=\"36616192\"] \n  8 -> 12 [size =\"36616192\"]\n  8 -> 14 [size =\"36616192\"]\n  8 -> 15 [size =\"36616192\"]\n  9 [size=\"19924480\", alpha=\"0.02\", expect_size=\"7969792\"] \n  9 -> 12 [size =\"7969792\"]\n  9 -> 14 [size =\"7969792\"]\n  9 -> 15 [size =\"7969792\"]\n  10 [size=\"125319680\", alpha=\"0.05\", expect_size=\"50127872\"] \n  10 -> 14 [size =\"50127872\"]\n  11 [size=\"96115200\", alpha=\"0.04\", expect_size=\"38446080\"] \n  11 -> 12 [size =\"38446080\"]\n  11 -> 13 [size =\"38446080\"]\n  11 -> 14 [size =\"38446080\"]\n  11 -> 16 [size =\"38446080\"]\n  12 [size=\"84300800\", alpha=\"0.10\", expect_size=\"33720320\"] \n  12 -> 18 [size =\"33720320\"]\n  12 -> 19 [size =\"33720320\"]\n  12 -> 20 [size =\"33720320\"]\n  12 -> 21 [size =\"33720320\"]\n  12 -> 22 [size =\"33720320\"]\n  12 -> 23 [size =\"33720320\"]\n  13 [size=\"106805760\", alpha=\"0.09\", expect_size=\"42722304\"] \n  14 [size=\"91578880\", alpha=\"0.01\", expect_size=\"36631552\"] \n  14 -> 18 [size =\"36631552\"]\n  15 [size=\"130792960\", alpha=\"0.16\", expect_size=\"52317184\"] \n  15 -> 17 [size =\"52317184\"]\n  15 -> 18 [size =\"52317184\"]\n  16 [size=\"118876160\", alpha=\"0.08\", expect_size=\"47550464\"] \n  16 -> 17 [size =\"47550464\"]\n  16 -> 21 [size =\"47550464\"]\n  16 -> 22 [size =\"47550464\"]\n  17 [size=\"85795840\", alpha=\"0.00\", expect_size=\"34318336\"] \n  17 -> 27 [size =\"34318336\"]\n  17 -> 30 [size =\"34318336\"]\n  18 [size=\"67097600\", alpha=\"0.11\", expect_size=\"26839040\"] \n  18 -> 26 [size =\"26839040\"]\n  18 -> 29 [size =\"26839040\"]\n  18 -> 30 [size =\"26839040\"]\n  19 [size=\"47339520\", alpha=\"0.17\", expect_size=\"18935808\"] \n  19 -> 30 [size =\"18935808\"]\n  20 [size=\"60705280\", alpha=\"0.01\", expect_size=\"24282112\"] \n  20 -> 29 [size =\"24282112\"]\n  20 -> 30 [size =\"24282112\"]\n  21 [size=\"87720960\", alpha=\"0.19\", expect_size=\"35088384\"] \n  21 -> 25 [size =\"35088384\"]\n  21 -> 27 [size =\"35088384\"]\n  21 -> 28 [size =\"35088384\"]\n  21 -> 30 [size =\"35088384\"]\n  22 [size=\"111390720\", alpha=\"0.11\", expect_size=\"44556288\"] \n  22 -> 27 [size =\"44556288\"]\n  22 -> 27 [size =\"44556288\"]\n  23 [size=\"54579200\", alpha=\"0.20\", expect_size=\"21831680\"] \n  23 -> 24 [size =\"21831680\"]\n  23 -> 27 [size =\"21831680\"]\n  24 [size=\"108654080\", alpha=\"0.17\", expect_size=\"43461632\"] \n  24 -> 31 [size =\"43461632\"]\n  24 -> 32 [size =\"43461632\"]\n  25 [size=\"113630720\", alpha=\"0.01\", expect_size=\"45452288\"] \n  25 -> 31 [size =\"45452288\"]\n  25 -> 32 [size =\"45452288\"]\n  25 -> 33 [size =\"45452288\"]\n  26 [size=\"91676160\", alpha=\"0.18\", expect_size=\"36670464\"] \n  26 -> 31 [size =\"36670464\"]\n  26 -> 33 [size =\"36670464\"]\n  27 [size=\"23462400\", alpha=\"0.17\", expect_size=\"9384960\"] \n  27 -> 33 [size =\"9384960\"]\n  28 [size=\"24734720\", alpha=\"0.08\", expect_size=\"9893888\"] \n  28 -> 31 [size =\"9893888\"]\n  28 -> 32 [size =\"9893888\"]\n  28 -> 33 [size =\"9893888\"]\n  28 -> 34 [size =\"9893888\"]\n  29 [size=\"92533760\", alpha=\"0.01\", expect_size=\"37013504\"] \n  29 -> 33 [size =\"37013504\"]\n  29 -> 34 [size =\"37013504\"]\n  30 [size=\"72693760\", alpha=\"0.13\", expect_size=\"29077504\"] \n  31 [size=\"78248960\", alpha=\"0.19\", expect_size=\"31299584\"] \n  31 -> 35 [size =\"31299584\"]\n  31 -> 39 [size =\"31299584\"]\n  31 -> 39 [size =\"31299584\"]\n  32 [size=\"73469440\", alpha=\"0.17\", expect_size=\"29387776\"] \n  32 -> 37 [size =\"29387776\"]\n  32 -> 38 [size =\"29387776\"]\n  33 [size=\"19560960\", alpha=\"0.11\", expect_size=\"7824384\"] \n  33 -> 35 [size =\"7824384\"]\n  33 -> 36 [size =\"7824384\"]\n  33 -> 40 [size =\"7824384\"]\n  34 [size=\"19169280\", alpha=\"0.19\", expect_size=\"7667712\"] \n  34 -> 36 [size =\"7667712\"]\n  34 -> 38 [size =\"7667712\"]\n  34 -> 39 [size =\"7667712\"]\n  35 [size=\"120545280\", alpha=\"0.06\", expect_size=\"48218112\"] \n  36 [size=\"126976000\", alpha=\"0.11\", expect_size=\"50790400\"] \n  37 [size=\"116825600\", alpha=\"0.08\", expect_size=\"46730240\"] \n  38 [size=\"97469440\", alpha=\"0.15\", expect_size=\"38987776\"] \n  39 [size=\"29378560\", alpha=\"0.07\", expect_size=\"11751424\"] \n  40 [size=\"37332480\", alpha=\"0.08\", expect_size=\"14932992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110717440\", alpha=\"0.10\", expect_size=\"44286976\"] \n  1 -> 17 [size =\"44286976\"]\n  1 -> 18 [size =\"44286976\"]\n  1 -> 20 [size =\"44286976\"]\n  1 -> 21 [size =\"44286976\"]\n  1 -> 23 [size =\"44286976\"]\n  1 -> 26 [size =\"44286976\"]\n  2 [size=\"47162880\", alpha=\"0.01\", expect_size=\"18865152\"] \n  2 -> 14 [size =\"18865152\"]\n  2 -> 23 [size =\"18865152\"]\n  2 -> 26 [size =\"18865152\"]\n  3 [size=\"35758080\", alpha=\"0.20\", expect_size=\"14303232\"] \n  3 -> 14 [size =\"14303232\"]\n  3 -> 18 [size =\"14303232\"]\n  3 -> 21 [size =\"14303232\"]\n  3 -> 23 [size =\"14303232\"]\n  3 -> 26 [size =\"14303232\"]\n  4 [size=\"128273920\", alpha=\"0.06\", expect_size=\"51309568\"] \n  4 -> 14 [size =\"51309568\"]\n  4 -> 18 [size =\"51309568\"]\n  4 -> 19 [size =\"51309568\"]\n  4 -> 24 [size =\"51309568\"]\n  5 [size=\"104596480\", alpha=\"0.14\", expect_size=\"41838592\"] \n  5 -> 17 [size =\"41838592\"]\n  5 -> 18 [size =\"41838592\"]\n  5 -> 19 [size =\"41838592\"]\n  5 -> 21 [size =\"41838592\"]\n  6 [size=\"91002880\", alpha=\"0.00\", expect_size=\"36401152\"] \n  6 -> 18 [size =\"36401152\"]\n  6 -> 23 [size =\"36401152\"]\n  7 [size=\"21987840\", alpha=\"0.14\", expect_size=\"8795136\"] \n  7 -> 18 [size =\"8795136\"]\n  7 -> 20 [size =\"8795136\"]\n  7 -> 21 [size =\"8795136\"]\n  7 -> 22 [size =\"8795136\"]\n  7 -> 23 [size =\"8795136\"]\n  7 -> 26 [size =\"8795136\"]\n  8 [size=\"16389120\", alpha=\"0.05\", expect_size=\"6555648\"] \n  8 -> 15 [size =\"6555648\"]\n  8 -> 16 [size =\"6555648\"]\n  8 -> 23 [size =\"6555648\"]\n  8 -> 24 [size =\"6555648\"]\n  8 -> 26 [size =\"6555648\"]\n  9 [size=\"114347520\", alpha=\"0.11\", expect_size=\"45739008\"] \n  9 -> 14 [size =\"45739008\"]\n  9 -> 15 [size =\"45739008\"]\n  9 -> 18 [size =\"45739008\"]\n  9 -> 19 [size =\"45739008\"]\n  9 -> 21 [size =\"45739008\"]\n  9 -> 23 [size =\"45739008\"]\n  9 -> 24 [size =\"45739008\"]\n  9 -> 26 [size =\"45739008\"]\n  10 [size=\"68515840\", alpha=\"0.19\", expect_size=\"27406336\"] \n  10 -> 15 [size =\"27406336\"]\n  10 -> 19 [size =\"27406336\"]\n  10 -> 23 [size =\"27406336\"]\n  10 -> 26 [size =\"27406336\"]\n  11 [size=\"13760000\", alpha=\"0.00\", expect_size=\"5504000\"] \n  11 -> 14 [size =\"5504000\"]\n  11 -> 17 [size =\"5504000\"]\n  11 -> 18 [size =\"5504000\"]\n  11 -> 23 [size =\"5504000\"]\n  11 -> 26 [size =\"5504000\"]\n  12 [size=\"70028800\", alpha=\"0.02\", expect_size=\"28011520\"] \n  12 -> 15 [size =\"28011520\"]\n  12 -> 18 [size =\"28011520\"]\n  12 -> 21 [size =\"28011520\"]\n  12 -> 24 [size =\"28011520\"]\n  13 [size=\"78538240\", alpha=\"0.05\", expect_size=\"31415296\"] \n  13 -> 17 [size =\"31415296\"]\n  13 -> 20 [size =\"31415296\"]\n  13 -> 21 [size =\"31415296\"]\n  13 -> 24 [size =\"31415296\"]\n  13 -> 25 [size =\"31415296\"]\n  13 -> 26 [size =\"31415296\"]\n  14 [size=\"78161920\", alpha=\"0.03\", expect_size=\"31264768\"] \n  14 -> 28 [size =\"31264768\"]\n  14 -> 29 [size =\"31264768\"]\n  14 -> 33 [size =\"31264768\"]\n  14 -> 35 [size =\"31264768\"]\n  14 -> 35 [size =\"31264768\"]\n  14 -> 38 [size =\"31264768\"]\n  15 [size=\"112860160\", alpha=\"0.16\", expect_size=\"45144064\"] \n  15 -> 28 [size =\"45144064\"]\n  15 -> 29 [size =\"45144064\"]\n  15 -> 31 [size =\"45144064\"]\n  15 -> 32 [size =\"45144064\"]\n  15 -> 35 [size =\"45144064\"]\n  15 -> 37 [size =\"45144064\"]\n  16 [size=\"80235520\", alpha=\"0.14\", expect_size=\"32094208\"] \n  16 -> 27 [size =\"32094208\"]\n  16 -> 29 [size =\"32094208\"]\n  16 -> 30 [size =\"32094208\"]\n  16 -> 32 [size =\"32094208\"]\n  16 -> 33 [size =\"32094208\"]\n  17 [size=\"81740800\", alpha=\"0.11\", expect_size=\"32696320\"] \n  17 -> 28 [size =\"32696320\"]\n  17 -> 29 [size =\"32696320\"]\n  17 -> 32 [size =\"32696320\"]\n  17 -> 35 [size =\"32696320\"]\n  17 -> 38 [size =\"32696320\"]\n  18 [size=\"44559360\", alpha=\"0.11\", expect_size=\"17823744\"] \n  18 -> 28 [size =\"17823744\"]\n  18 -> 29 [size =\"17823744\"]\n  18 -> 30 [size =\"17823744\"]\n  18 -> 31 [size =\"17823744\"]\n  18 -> 33 [size =\"17823744\"]\n  18 -> 35 [size =\"17823744\"]\n  18 -> 36 [size =\"17823744\"]\n  18 -> 37 [size =\"17823744\"]\n  19 [size=\"72793600\", alpha=\"0.05\", expect_size=\"29117440\"] \n  19 -> 30 [size =\"29117440\"]\n  19 -> 31 [size =\"29117440\"]\n  19 -> 35 [size =\"29117440\"]\n  19 -> 37 [size =\"29117440\"]\n  20 [size=\"22336000\", alpha=\"0.09\", expect_size=\"8934400\"] \n  20 -> 28 [size =\"8934400\"]\n  20 -> 31 [size =\"8934400\"]\n  20 -> 35 [size =\"8934400\"]\n  20 -> 37 [size =\"8934400\"]\n  21 [size=\"17520640\", alpha=\"0.10\", expect_size=\"7008256\"] \n  21 -> 29 [size =\"7008256\"]\n  21 -> 30 [size =\"7008256\"]\n  21 -> 31 [size =\"7008256\"]\n  21 -> 37 [size =\"7008256\"]\n  22 [size=\"19586560\", alpha=\"0.17\", expect_size=\"7834624\"] \n  22 -> 28 [size =\"7834624\"]\n  22 -> 34 [size =\"7834624\"]\n  22 -> 37 [size =\"7834624\"]\n  23 [size=\"31521280\", alpha=\"0.07\", expect_size=\"12608512\"] \n  23 -> 30 [size =\"12608512\"]\n  23 -> 31 [size =\"12608512\"]\n  23 -> 32 [size =\"12608512\"]\n  23 -> 38 [size =\"12608512\"]\n  24 [size=\"60293120\", alpha=\"0.17\", expect_size=\"24117248\"] \n  24 -> 30 [size =\"24117248\"]\n  24 -> 33 [size =\"24117248\"]\n  24 -> 36 [size =\"24117248\"]\n  24 -> 37 [size =\"24117248\"]\n  25 [size=\"80163840\", alpha=\"0.03\", expect_size=\"32065536\"] \n  25 -> 27 [size =\"32065536\"]\n  25 -> 28 [size =\"32065536\"]\n  25 -> 30 [size =\"32065536\"]\n  25 -> 35 [size =\"32065536\"]\n  25 -> 36 [size =\"32065536\"]\n  25 -> 37 [size =\"32065536\"]\n  26 [size=\"54489600\", alpha=\"0.02\", expect_size=\"21795840\"] \n  26 -> 28 [size =\"21795840\"]\n  26 -> 29 [size =\"21795840\"]\n  26 -> 30 [size =\"21795840\"]\n  26 -> 31 [size =\"21795840\"]\n  26 -> 35 [size =\"21795840\"]\n  26 -> 37 [size =\"21795840\"]\n  27 [size=\"19174400\", alpha=\"0.02\", expect_size=\"7669760\"] \n  28 [size=\"84403200\", alpha=\"0.03\", expect_size=\"33761280\"] \n  29 [size=\"33000960\", alpha=\"0.01\", expect_size=\"13200384\"] \n  29 -> 40 [size =\"13200384\"]\n  30 [size=\"63595520\", alpha=\"0.08\", expect_size=\"25438208\"] \n  30 -> 40 [size =\"25438208\"]\n  31 [size=\"119569920\", alpha=\"0.15\", expect_size=\"47827968\"] \n  32 [size=\"62607360\", alpha=\"0.12\", expect_size=\"25042944\"] \n  33 [size=\"44730880\", alpha=\"0.01\", expect_size=\"17892352\"] \n  33 -> 39 [size =\"17892352\"]\n  34 [size=\"88593920\", alpha=\"0.20\", expect_size=\"35437568\"] \n  35 [size=\"73431040\", alpha=\"0.16\", expect_size=\"29372416\"] \n  36 [size=\"90734080\", alpha=\"0.03\", expect_size=\"36293632\"] \n  36 -> 40 [size =\"36293632\"]\n  37 [size=\"100436480\", alpha=\"0.03\", expect_size=\"40174592\"] \n  38 [size=\"111418880\", alpha=\"0.07\", expect_size=\"44567552\"] \n  39 [size=\"126963200\", alpha=\"0.02\", expect_size=\"50785280\"] \n  40 [size=\"130350080\", alpha=\"0.18\", expect_size=\"52140032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56434688\", alpha=\"0.04\", expect_size=\"28217344\"] \n  1 -> 27 [size =\"28217344\"]\n  1 -> 28 [size =\"28217344\"]\n  1 -> 33 [size =\"28217344\"]\n  1 -> 37 [size =\"28217344\"]\n  1 -> 39 [size =\"28217344\"]\n  1 -> 40 [size =\"28217344\"]\n  2 [size=\"57081856\", alpha=\"0.17\", expect_size=\"28540928\"] \n  2 -> 36 [size =\"28540928\"]\n  3 [size=\"75358208\", alpha=\"0.14\", expect_size=\"37679104\"] \n  3 -> 25 [size =\"37679104\"]\n  3 -> 29 [size =\"37679104\"]\n  3 -> 30 [size =\"37679104\"]\n  3 -> 36 [size =\"37679104\"]\n  3 -> 39 [size =\"37679104\"]\n  4 [size=\"100904960\", alpha=\"0.01\", expect_size=\"50452480\"] \n  4 -> 25 [size =\"50452480\"]\n  4 -> 26 [size =\"50452480\"]\n  4 -> 27 [size =\"50452480\"]\n  4 -> 28 [size =\"50452480\"]\n  5 [size=\"48044032\", alpha=\"0.03\", expect_size=\"24022016\"] \n  5 -> 26 [size =\"24022016\"]\n  5 -> 34 [size =\"24022016\"]\n  6 [size=\"70045696\", alpha=\"0.09\", expect_size=\"35022848\"] \n  6 -> 26 [size =\"35022848\"]\n  6 -> 32 [size =\"35022848\"]\n  6 -> 33 [size =\"35022848\"]\n  6 -> 35 [size =\"35022848\"]\n  7 [size=\"62371840\", alpha=\"0.19\", expect_size=\"31185920\"] \n  7 -> 26 [size =\"31185920\"]\n  7 -> 27 [size =\"31185920\"]\n  7 -> 33 [size =\"31185920\"]\n  7 -> 34 [size =\"31185920\"]\n  7 -> 40 [size =\"31185920\"]\n  8 [size=\"17963008\", alpha=\"0.19\", expect_size=\"8981504\"] \n  8 -> 28 [size =\"8981504\"]\n  8 -> 35 [size =\"8981504\"]\n  8 -> 39 [size =\"8981504\"]\n  8 -> 40 [size =\"8981504\"]\n  9 [size=\"49459200\", alpha=\"0.10\", expect_size=\"24729600\"] \n  9 -> 26 [size =\"24729600\"]\n  9 -> 28 [size =\"24729600\"]\n  9 -> 34 [size =\"24729600\"]\n  9 -> 38 [size =\"24729600\"]\n  9 -> 39 [size =\"24729600\"]\n  10 [size=\"38973440\", alpha=\"0.17\", expect_size=\"19486720\"] \n  10 -> 26 [size =\"19486720\"]\n  10 -> 34 [size =\"19486720\"]\n  10 -> 35 [size =\"19486720\"]\n  10 -> 37 [size =\"19486720\"]\n  10 -> 39 [size =\"19486720\"]\n  11 [size=\"24125440\", alpha=\"0.10\", expect_size=\"12062720\"] \n  11 -> 32 [size =\"12062720\"]\n  11 -> 34 [size =\"12062720\"]\n  11 -> 36 [size =\"12062720\"]\n  11 -> 38 [size =\"12062720\"]\n  12 [size=\"42174464\", alpha=\"0.14\", expect_size=\"21087232\"] \n  12 -> 26 [size =\"21087232\"]\n  12 -> 37 [size =\"21087232\"]\n  12 -> 40 [size =\"21087232\"]\n  13 [size=\"30248960\", alpha=\"0.09\", expect_size=\"15124480\"] \n  13 -> 25 [size =\"15124480\"]\n  13 -> 26 [size =\"15124480\"]\n  13 -> 27 [size =\"15124480\"]\n  13 -> 28 [size =\"15124480\"]\n  13 -> 40 [size =\"15124480\"]\n  14 [size=\"96759808\", alpha=\"0.15\", expect_size=\"48379904\"] \n  14 -> 37 [size =\"48379904\"]\n  14 -> 40 [size =\"48379904\"]\n  15 [size=\"103591936\", alpha=\"0.19\", expect_size=\"51795968\"] \n  15 -> 27 [size =\"51795968\"]\n  15 -> 34 [size =\"51795968\"]\n  15 -> 37 [size =\"51795968\"]\n  15 -> 40 [size =\"51795968\"]\n  16 [size=\"21467136\", alpha=\"0.01\", expect_size=\"10733568\"] \n  16 -> 25 [size =\"10733568\"]\n  16 -> 31 [size =\"10733568\"]\n  16 -> 36 [size =\"10733568\"]\n  16 -> 37 [size =\"10733568\"]\n  16 -> 40 [size =\"10733568\"]\n  17 [size=\"66109440\", alpha=\"0.13\", expect_size=\"33054720\"] \n  17 -> 29 [size =\"33054720\"]\n  17 -> 32 [size =\"33054720\"]\n  17 -> 37 [size =\"33054720\"]\n  18 [size=\"63051776\", alpha=\"0.15\", expect_size=\"31525888\"] \n  18 -> 26 [size =\"31525888\"]\n  18 -> 33 [size =\"31525888\"]\n  18 -> 34 [size =\"31525888\"]\n  19 [size=\"60241920\", alpha=\"0.17\", expect_size=\"30120960\"] \n  19 -> 33 [size =\"30120960\"]\n  19 -> 33 [size =\"30120960\"]\n  19 -> 35 [size =\"30120960\"]\n  19 -> 36 [size =\"30120960\"]\n  19 -> 37 [size =\"30120960\"]\n  20 [size=\"15271936\", alpha=\"0.03\", expect_size=\"7635968\"] \n  20 -> 28 [size =\"7635968\"]\n  20 -> 34 [size =\"7635968\"]\n  20 -> 38 [size =\"7635968\"]\n  20 -> 40 [size =\"7635968\"]\n  21 [size=\"95229952\", alpha=\"0.18\", expect_size=\"47614976\"] \n  21 -> 34 [size =\"47614976\"]\n  21 -> 34 [size =\"47614976\"]\n  21 -> 40 [size =\"47614976\"]\n  22 [size=\"49731584\", alpha=\"0.03\", expect_size=\"24865792\"] \n  22 -> 26 [size =\"24865792\"]\n  22 -> 32 [size =\"24865792\"]\n  22 -> 33 [size =\"24865792\"]\n  22 -> 34 [size =\"24865792\"]\n  22 -> 36 [size =\"24865792\"]\n  22 -> 38 [size =\"24865792\"]\n  23 [size=\"22394880\", alpha=\"0.02\", expect_size=\"11197440\"] \n  23 -> 26 [size =\"11197440\"]\n  23 -> 29 [size =\"11197440\"]\n  23 -> 33 [size =\"11197440\"]\n  23 -> 38 [size =\"11197440\"]\n  24 [size=\"64276480\", alpha=\"0.00\", expect_size=\"32138240\"] \n  24 -> 26 [size =\"32138240\"]\n  24 -> 32 [size =\"32138240\"]\n  24 -> 35 [size =\"32138240\"]\n  24 -> 39 [size =\"32138240\"]\n  25 [size=\"39133184\", alpha=\"0.06\", expect_size=\"19566592\"] \n  26 [size=\"33030144\", alpha=\"0.05\", expect_size=\"16515072\"] \n  27 [size=\"35985408\", alpha=\"0.14\", expect_size=\"17992704\"] \n  28 [size=\"95993856\", alpha=\"0.06\", expect_size=\"47996928\"] \n  29 [size=\"73351168\", alpha=\"0.05\", expect_size=\"36675584\"] \n  30 [size=\"60776448\", alpha=\"0.11\", expect_size=\"30388224\"] \n  31 [size=\"74266624\", alpha=\"0.19\", expect_size=\"37133312\"] \n  32 [size=\"65398784\", alpha=\"0.14\", expect_size=\"32699392\"] \n  33 [size=\"80771072\", alpha=\"0.13\", expect_size=\"40385536\"] \n  34 [size=\"90882048\", alpha=\"0.11\", expect_size=\"45441024\"] \n  35 [size=\"91781120\", alpha=\"0.08\", expect_size=\"45890560\"] \n  36 [size=\"26656768\", alpha=\"0.08\", expect_size=\"13328384\"] \n  37 [size=\"49442816\", alpha=\"0.19\", expect_size=\"24721408\"] \n  38 [size=\"23277568\", alpha=\"0.02\", expect_size=\"11638784\"] \n  39 [size=\"50016256\", alpha=\"0.15\", expect_size=\"25008128\"] \n  40 [size=\"74256384\", alpha=\"0.09\", expect_size=\"37128192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79692800\", alpha=\"0.18\", expect_size=\"31877120\"] \n  1 -> 15 [size =\"31877120\"]\n  2 [size=\"127534080\", alpha=\"0.18\", expect_size=\"51013632\"] \n  2 -> 14 [size =\"51013632\"]\n  2 -> 16 [size =\"51013632\"]\n  2 -> 18 [size =\"51013632\"]\n  2 -> 20 [size =\"51013632\"]\n  2 -> 21 [size =\"51013632\"]\n  2 -> 22 [size =\"51013632\"]\n  3 [size=\"99399680\", alpha=\"0.12\", expect_size=\"39759872\"] \n  3 -> 18 [size =\"39759872\"]\n  3 -> 21 [size =\"39759872\"]\n  4 [size=\"34995200\", alpha=\"0.03\", expect_size=\"13998080\"] \n  4 -> 20 [size =\"13998080\"]\n  4 -> 26 [size =\"13998080\"]\n  5 [size=\"72660480\", alpha=\"0.10\", expect_size=\"29064192\"] \n  5 -> 16 [size =\"29064192\"]\n  5 -> 18 [size =\"29064192\"]\n  5 -> 20 [size =\"29064192\"]\n  5 -> 22 [size =\"29064192\"]\n  5 -> 23 [size =\"29064192\"]\n  5 -> 24 [size =\"29064192\"]\n  6 [size=\"49832960\", alpha=\"0.15\", expect_size=\"19933184\"] \n  6 -> 22 [size =\"19933184\"]\n  7 [size=\"118231040\", alpha=\"0.02\", expect_size=\"47292416\"] \n  7 -> 14 [size =\"47292416\"]\n  7 -> 20 [size =\"47292416\"]\n  7 -> 22 [size =\"47292416\"]\n  8 [size=\"125263360\", alpha=\"0.10\", expect_size=\"50105344\"] \n  8 -> 17 [size =\"50105344\"]\n  8 -> 19 [size =\"50105344\"]\n  8 -> 21 [size =\"50105344\"]\n  8 -> 22 [size =\"50105344\"]\n  9 [size=\"99845120\", alpha=\"0.11\", expect_size=\"39938048\"] \n  9 -> 22 [size =\"39938048\"]\n  9 -> 26 [size =\"39938048\"]\n  10 [size=\"46325760\", alpha=\"0.13\", expect_size=\"18530304\"] \n  10 -> 15 [size =\"18530304\"]\n  10 -> 18 [size =\"18530304\"]\n  10 -> 20 [size =\"18530304\"]\n  11 [size=\"24824320\", alpha=\"0.02\", expect_size=\"9929728\"] \n  11 -> 14 [size =\"9929728\"]\n  11 -> 18 [size =\"9929728\"]\n  11 -> 20 [size =\"9929728\"]\n  11 -> 21 [size =\"9929728\"]\n  11 -> 24 [size =\"9929728\"]\n  11 -> 26 [size =\"9929728\"]\n  12 [size=\"15708160\", alpha=\"0.18\", expect_size=\"6283264\"] \n  12 -> 14 [size =\"6283264\"]\n  12 -> 16 [size =\"6283264\"]\n  12 -> 20 [size =\"6283264\"]\n  12 -> 24 [size =\"6283264\"]\n  13 [size=\"123363840\", alpha=\"0.03\", expect_size=\"49345536\"] \n  13 -> 14 [size =\"49345536\"]\n  13 -> 19 [size =\"49345536\"]\n  13 -> 21 [size =\"49345536\"]\n  13 -> 22 [size =\"49345536\"]\n  13 -> 25 [size =\"49345536\"]\n  14 [size=\"76651520\", alpha=\"0.11\", expect_size=\"30660608\"] \n  14 -> 27 [size =\"30660608\"]\n  14 -> 28 [size =\"30660608\"]\n  14 -> 29 [size =\"30660608\"]\n  14 -> 30 [size =\"30660608\"]\n  14 -> 35 [size =\"30660608\"]\n  14 -> 36 [size =\"30660608\"]\n  15 [size=\"92551680\", alpha=\"0.05\", expect_size=\"37020672\"] \n  15 -> 28 [size =\"37020672\"]\n  15 -> 28 [size =\"37020672\"]\n  15 -> 29 [size =\"37020672\"]\n  15 -> 30 [size =\"37020672\"]\n  15 -> 33 [size =\"37020672\"]\n  15 -> 34 [size =\"37020672\"]\n  15 -> 35 [size =\"37020672\"]\n  15 -> 36 [size =\"37020672\"]\n  16 [size=\"33418240\", alpha=\"0.19\", expect_size=\"13367296\"] \n  16 -> 27 [size =\"13367296\"]\n  16 -> 28 [size =\"13367296\"]\n  16 -> 29 [size =\"13367296\"]\n  16 -> 30 [size =\"13367296\"]\n  16 -> 31 [size =\"13367296\"]\n  17 [size=\"119802880\", alpha=\"0.16\", expect_size=\"47921152\"] \n  17 -> 27 [size =\"47921152\"]\n  17 -> 30 [size =\"47921152\"]\n  18 [size=\"14338560\", alpha=\"0.03\", expect_size=\"5735424\"] \n  18 -> 27 [size =\"5735424\"]\n  18 -> 29 [size =\"5735424\"]\n  18 -> 30 [size =\"5735424\"]\n  18 -> 31 [size =\"5735424\"]\n  18 -> 33 [size =\"5735424\"]\n  19 [size=\"76175360\", alpha=\"0.12\", expect_size=\"30470144\"] \n  19 -> 27 [size =\"30470144\"]\n  19 -> 30 [size =\"30470144\"]\n  19 -> 31 [size =\"30470144\"]\n  19 -> 33 [size =\"30470144\"]\n  19 -> 33 [size =\"30470144\"]\n  20 [size=\"21813760\", alpha=\"0.14\", expect_size=\"8725504\"] \n  20 -> 27 [size =\"8725504\"]\n  21 [size=\"96893440\", alpha=\"0.08\", expect_size=\"38757376\"] \n  21 -> 29 [size =\"38757376\"]\n  21 -> 32 [size =\"38757376\"]\n  21 -> 35 [size =\"38757376\"]\n  21 -> 36 [size =\"38757376\"]\n  22 [size=\"106063360\", alpha=\"0.01\", expect_size=\"42425344\"] \n  22 -> 37 [size =\"42425344\"]\n  23 [size=\"92259840\", alpha=\"0.09\", expect_size=\"36903936\"] \n  23 -> 27 [size =\"36903936\"]\n  23 -> 29 [size =\"36903936\"]\n  23 -> 30 [size =\"36903936\"]\n  23 -> 32 [size =\"36903936\"]\n  23 -> 33 [size =\"36903936\"]\n  23 -> 36 [size =\"36903936\"]\n  23 -> 37 [size =\"36903936\"]\n  24 [size=\"112650240\", alpha=\"0.00\", expect_size=\"45060096\"] \n  24 -> 27 [size =\"45060096\"]\n  24 -> 29 [size =\"45060096\"]\n  24 -> 36 [size =\"45060096\"]\n  25 [size=\"61143040\", alpha=\"0.02\", expect_size=\"24457216\"] \n  25 -> 32 [size =\"24457216\"]\n  25 -> 34 [size =\"24457216\"]\n  25 -> 36 [size =\"24457216\"]\n  26 [size=\"88734720\", alpha=\"0.10\", expect_size=\"35493888\"] \n  26 -> 28 [size =\"35493888\"]\n  26 -> 29 [size =\"35493888\"]\n  26 -> 32 [size =\"35493888\"]\n  26 -> 35 [size =\"35493888\"]\n  27 [size=\"81807360\", alpha=\"0.15\", expect_size=\"32722944\"] \n  27 -> 39 [size =\"32722944\"]\n  28 [size=\"55603200\", alpha=\"0.00\", expect_size=\"22241280\"] \n  28 -> 40 [size =\"22241280\"]\n  29 [size=\"70743040\", alpha=\"0.19\", expect_size=\"28297216\"] \n  29 -> 40 [size =\"28297216\"]\n  30 [size=\"21114880\", alpha=\"0.04\", expect_size=\"8445952\"] \n  30 -> 40 [size =\"8445952\"]\n  31 [size=\"104074240\", alpha=\"0.11\", expect_size=\"41629696\"] \n  31 -> 38 [size =\"41629696\"]\n  31 -> 39 [size =\"41629696\"]\n  31 -> 40 [size =\"41629696\"]\n  32 [size=\"32314880\", alpha=\"0.19\", expect_size=\"12925952\"] \n  32 -> 39 [size =\"12925952\"]\n  33 [size=\"38228480\", alpha=\"0.05\", expect_size=\"15291392\"] \n  34 [size=\"90147840\", alpha=\"0.02\", expect_size=\"36059136\"] \n  34 -> 39 [size =\"36059136\"]\n  35 [size=\"91996160\", alpha=\"0.12\", expect_size=\"36798464\"] \n  35 -> 39 [size =\"36798464\"]\n  36 [size=\"103326720\", alpha=\"0.06\", expect_size=\"41330688\"] \n  36 -> 39 [size =\"41330688\"]\n  36 -> 40 [size =\"41330688\"]\n  37 [size=\"42900480\", alpha=\"0.18\", expect_size=\"17160192\"] \n  37 -> 38 [size =\"17160192\"]\n  37 -> 39 [size =\"17160192\"]\n  37 -> 40 [size =\"17160192\"]\n  38 [size=\"15843840\", alpha=\"0.10\", expect_size=\"6337536\"] \n  39 [size=\"16345600\", alpha=\"0.13\", expect_size=\"6538240\"] \n  40 [size=\"13184000\", alpha=\"0.17\", expect_size=\"5273600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73274027\", alpha=\"0.08\", expect_size=\"21982208\"] \n  1 -> 2 [size =\"21982208\"]\n  2 [size=\"58142720\", alpha=\"0.05\", expect_size=\"17442816\"] \n  2 -> 3 [size =\"17442816\"]\n  3 [size=\"66164053\", alpha=\"0.19\", expect_size=\"19849216\"] \n  3 -> 4 [size =\"19849216\"]\n  4 [size=\"126255787\", alpha=\"0.07\", expect_size=\"37876736\"] \n  4 -> 5 [size =\"37876736\"]\n  5 [size=\"100724053\", alpha=\"0.08\", expect_size=\"30217216\"] \n  5 -> 6 [size =\"30217216\"]\n  6 [size=\"31870293\", alpha=\"0.14\", expect_size=\"9561088\"] \n  6 -> 7 [size =\"9561088\"]\n  7 [size=\"18131627\", alpha=\"0.15\", expect_size=\"5439488\"] \n  7 -> 8 [size =\"5439488\"]\n  8 [size=\"139120640\", alpha=\"0.07\", expect_size=\"41736192\"] \n  8 -> 9 [size =\"41736192\"]\n  9 [size=\"56169813\", alpha=\"0.08\", expect_size=\"16850944\"] \n  9 -> 10 [size =\"16850944\"]\n  10 [size=\"33641813\", alpha=\"0.19\", expect_size=\"10092544\"] \n  10 -> 11 [size =\"10092544\"]\n  11 [size=\"76837547\", alpha=\"0.16\", expect_size=\"23051264\"] \n  11 -> 12 [size =\"23051264\"]\n  12 [size=\"138260480\", alpha=\"0.08\", expect_size=\"41478144\"] \n  12 -> 13 [size =\"41478144\"]\n  13 [size=\"22978560\", alpha=\"0.08\", expect_size=\"6893568\"] \n  13 -> 14 [size =\"6893568\"]\n  14 [size=\"18206720\", alpha=\"0.00\", expect_size=\"5462016\"] \n  14 -> 15 [size =\"5462016\"]\n  15 [size=\"69488640\", alpha=\"0.08\", expect_size=\"20846592\"] \n  15 -> 16 [size =\"20846592\"]\n  16 [size=\"133983573\", alpha=\"0.15\", expect_size=\"40195072\"] \n  16 -> 17 [size =\"40195072\"]\n  17 [size=\"84599467\", alpha=\"0.20\", expect_size=\"25379840\"] \n  17 -> 18 [size =\"25379840\"]\n  18 [size=\"48663893\", alpha=\"0.18\", expect_size=\"14599168\"] \n  18 -> 19 [size =\"14599168\"]\n  19 [size=\"104809813\", alpha=\"0.19\", expect_size=\"31442944\"] \n  19 -> 20 [size =\"31442944\"]\n  20 [size=\"163891200\", alpha=\"0.05\", expect_size=\"49167360\"] \n  20 -> 21 [size =\"49167360\"]\n  21 [size=\"156791467\", alpha=\"0.19\", expect_size=\"47037440\"] \n  21 -> 22 [size =\"47037440\"]\n  22 [size=\"122944853\", alpha=\"0.17\", expect_size=\"36883456\"] \n  22 -> 23 [size =\"36883456\"]\n  23 [size=\"29143040\", alpha=\"0.02\", expect_size=\"8742912\"] \n  23 -> 24 [size =\"8742912\"]\n  24 [size=\"90456747\", alpha=\"0.01\", expect_size=\"27137024\"] \n  24 -> 25 [size =\"27137024\"]\n  25 [size=\"91962027\", alpha=\"0.10\", expect_size=\"27588608\"] \n  25 -> 26 [size =\"27588608\"]\n  26 [size=\"158621013\", alpha=\"0.01\", expect_size=\"47586304\"] \n  26 -> 27 [size =\"47586304\"]\n  27 [size=\"118360747\", alpha=\"0.13\", expect_size=\"35508224\"] \n  27 -> 28 [size =\"35508224\"]\n  28 [size=\"115179520\", alpha=\"0.19\", expect_size=\"34553856\"] \n  28 -> 29 [size =\"34553856\"]\n  29 [size=\"98276693\", alpha=\"0.11\", expect_size=\"29483008\"] \n  29 -> 30 [size =\"29483008\"]\n  30 [size=\"88545280\", alpha=\"0.05\", expect_size=\"26563584\"] \n  30 -> 31 [size =\"26563584\"]\n  31 [size=\"129303893\", alpha=\"0.06\", expect_size=\"38791168\"] \n  31 -> 32 [size =\"38791168\"]\n  32 [size=\"119060480\", alpha=\"0.02\", expect_size=\"35718144\"] \n  32 -> 33 [size =\"35718144\"]\n  33 [size=\"98488320\", alpha=\"0.20\", expect_size=\"29546496\"] \n  33 -> 34 [size =\"29546496\"]\n  34 [size=\"116275200\", alpha=\"0.17\", expect_size=\"34882560\"] \n  34 -> 35 [size =\"34882560\"]\n  35 [size=\"123914240\", alpha=\"0.01\", expect_size=\"37174272\"] \n  35 -> 36 [size =\"37174272\"]\n  36 [size=\"47363413\", alpha=\"0.20\", expect_size=\"14209024\"] \n  36 -> 37 [size =\"14209024\"]\n  37 [size=\"58313387\", alpha=\"0.07\", expect_size=\"17494016\"] \n  37 -> 38 [size =\"17494016\"]\n  38 [size=\"157416107\", alpha=\"0.18\", expect_size=\"47224832\"] \n  38 -> 39 [size =\"47224832\"]\n  39 [size=\"151743147\", alpha=\"0.01\", expect_size=\"45522944\"] \n  39 -> 40 [size =\"45522944\"]\n  40 [size=\"79991467\", alpha=\"0.02\", expect_size=\"23997440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36868096\", alpha=\"0.15\", expect_size=\"18434048\"] \n  1 -> 35 [size =\"18434048\"]\n  1 -> 39 [size =\"18434048\"]\n  1 -> 39 [size =\"18434048\"]\n  2 [size=\"84207616\", alpha=\"0.03\", expect_size=\"42103808\"] \n  3 [size=\"97949696\", alpha=\"0.18\", expect_size=\"48974848\"] \n  3 -> 35 [size =\"48974848\"]\n  3 -> 40 [size =\"48974848\"]\n  4 [size=\"31686656\", alpha=\"0.05\", expect_size=\"15843328\"] \n  4 -> 39 [size =\"15843328\"]\n  5 [size=\"99237888\", alpha=\"0.04\", expect_size=\"49618944\"] \n  5 -> 39 [size =\"49618944\"]\n  5 -> 40 [size =\"49618944\"]\n  6 [size=\"65097728\", alpha=\"0.05\", expect_size=\"32548864\"] \n  6 -> 38 [size =\"32548864\"]\n  6 -> 39 [size =\"32548864\"]\n  7 [size=\"91310080\", alpha=\"0.14\", expect_size=\"45655040\"] \n  7 -> 37 [size =\"45655040\"]\n  7 -> 40 [size =\"45655040\"]\n  8 [size=\"102567936\", alpha=\"0.17\", expect_size=\"51283968\"] \n  8 -> 39 [size =\"51283968\"]\n  9 [size=\"23902208\", alpha=\"0.15\", expect_size=\"11951104\"] \n  9 -> 35 [size =\"11951104\"]\n  10 [size=\"56899584\", alpha=\"0.13\", expect_size=\"28449792\"] \n  11 [size=\"58417152\", alpha=\"0.11\", expect_size=\"29208576\"] \n  11 -> 36 [size =\"29208576\"]\n  11 -> 38 [size =\"29208576\"]\n  12 [size=\"35561472\", alpha=\"0.09\", expect_size=\"17780736\"] \n  12 -> 35 [size =\"17780736\"]\n  12 -> 38 [size =\"17780736\"]\n  12 -> 39 [size =\"17780736\"]\n  12 -> 40 [size =\"17780736\"]\n  13 [size=\"50921472\", alpha=\"0.03\", expect_size=\"25460736\"] \n  13 -> 40 [size =\"25460736\"]\n  14 [size=\"39546880\", alpha=\"0.02\", expect_size=\"19773440\"] \n  14 -> 38 [size =\"19773440\"]\n  15 [size=\"62275584\", alpha=\"0.08\", expect_size=\"31137792\"] \n  15 -> 38 [size =\"31137792\"]\n  15 -> 39 [size =\"31137792\"]\n  16 [size=\"79243264\", alpha=\"0.12\", expect_size=\"39621632\"] \n  16 -> 37 [size =\"39621632\"]\n  16 -> 39 [size =\"39621632\"]\n  16 -> 40 [size =\"39621632\"]\n  17 [size=\"103852032\", alpha=\"0.06\", expect_size=\"51926016\"] \n  17 -> 39 [size =\"51926016\"]\n  17 -> 39 [size =\"51926016\"]\n  18 [size=\"75159552\", alpha=\"0.06\", expect_size=\"37579776\"] \n  18 -> 39 [size =\"37579776\"]\n  19 [size=\"59119616\", alpha=\"0.16\", expect_size=\"29559808\"] \n  19 -> 36 [size =\"29559808\"]\n  19 -> 37 [size =\"29559808\"]\n  19 -> 39 [size =\"29559808\"]\n  19 -> 40 [size =\"29559808\"]\n  20 [size=\"34031616\", alpha=\"0.06\", expect_size=\"17015808\"] \n  20 -> 40 [size =\"17015808\"]\n  21 [size=\"97128448\", alpha=\"0.01\", expect_size=\"48564224\"] \n  21 -> 35 [size =\"48564224\"]\n  21 -> 38 [size =\"48564224\"]\n  22 [size=\"54108160\", alpha=\"0.12\", expect_size=\"27054080\"] \n  22 -> 40 [size =\"27054080\"]\n  23 [size=\"96012288\", alpha=\"0.01\", expect_size=\"48006144\"] \n  23 -> 35 [size =\"48006144\"]\n  23 -> 39 [size =\"48006144\"]\n  23 -> 40 [size =\"48006144\"]\n  24 [size=\"14043136\", alpha=\"0.15\", expect_size=\"7021568\"] \n  24 -> 35 [size =\"7021568\"]\n  24 -> 39 [size =\"7021568\"]\n  24 -> 40 [size =\"7021568\"]\n  25 [size=\"21270528\", alpha=\"0.07\", expect_size=\"10635264\"] \n  25 -> 38 [size =\"10635264\"]\n  26 [size=\"56743936\", alpha=\"0.11\", expect_size=\"28371968\"] \n  26 -> 38 [size =\"28371968\"]\n  27 [size=\"21004288\", alpha=\"0.13\", expect_size=\"10502144\"] \n  27 -> 37 [size =\"10502144\"]\n  27 -> 38 [size =\"10502144\"]\n  27 -> 40 [size =\"10502144\"]\n  28 [size=\"49668096\", alpha=\"0.14\", expect_size=\"24834048\"] \n  28 -> 35 [size =\"24834048\"]\n  28 -> 38 [size =\"24834048\"]\n  28 -> 40 [size =\"24834048\"]\n  29 [size=\"76777472\", alpha=\"0.17\", expect_size=\"38388736\"] \n  29 -> 38 [size =\"38388736\"]\n  29 -> 40 [size =\"38388736\"]\n  30 [size=\"58935296\", alpha=\"0.11\", expect_size=\"29467648\"] \n  30 -> 39 [size =\"29467648\"]\n  30 -> 40 [size =\"29467648\"]\n  31 [size=\"86114304\", alpha=\"0.14\", expect_size=\"43057152\"] \n  31 -> 37 [size =\"43057152\"]\n  31 -> 39 [size =\"43057152\"]\n  31 -> 40 [size =\"43057152\"]\n  32 [size=\"90324992\", alpha=\"0.03\", expect_size=\"45162496\"] \n  32 -> 37 [size =\"45162496\"]\n  32 -> 40 [size =\"45162496\"]\n  33 [size=\"50917376\", alpha=\"0.01\", expect_size=\"25458688\"] \n  33 -> 40 [size =\"25458688\"]\n  34 [size=\"55359488\", alpha=\"0.05\", expect_size=\"27679744\"] \n  34 -> 37 [size =\"27679744\"]\n  34 -> 38 [size =\"27679744\"]\n  34 -> 39 [size =\"27679744\"]\n  35 [size=\"30478336\", alpha=\"0.19\", expect_size=\"15239168\"] \n  36 [size=\"65028096\", alpha=\"0.09\", expect_size=\"32514048\"] \n  37 [size=\"24877056\", alpha=\"0.18\", expect_size=\"12438528\"] \n  38 [size=\"85225472\", alpha=\"0.00\", expect_size=\"42612736\"] \n  39 [size=\"55040000\", alpha=\"0.13\", expect_size=\"27520000\"] \n  40 [size=\"42108928\", alpha=\"0.11\", expect_size=\"21054464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102381568\", alpha=\"0.15\", expect_size=\"51190784\"] \n  1 -> 3 [size =\"51190784\"]\n  1 -> 5 [size =\"51190784\"]\n  2 [size=\"36200448\", alpha=\"0.20\", expect_size=\"18100224\"] \n  2 -> 4 [size =\"18100224\"]\n  3 [size=\"100200448\", alpha=\"0.16\", expect_size=\"50100224\"] \n  3 -> 7 [size =\"50100224\"]\n  3 -> 8 [size =\"50100224\"]\n  4 [size=\"12980224\", alpha=\"0.04\", expect_size=\"6490112\"] \n  4 -> 6 [size =\"6490112\"]\n  5 [size=\"39649280\", alpha=\"0.04\", expect_size=\"19824640\"] \n  5 -> 7 [size =\"19824640\"]\n  6 [size=\"11143168\", alpha=\"0.01\", expect_size=\"5571584\"] \n  6 -> 9 [size =\"5571584\"]\n  7 [size=\"87472128\", alpha=\"0.17\", expect_size=\"43736064\"] \n  7 -> 10 [size =\"43736064\"]\n  8 [size=\"71026688\", alpha=\"0.10\", expect_size=\"35513344\"] \n  8 -> 9 [size =\"35513344\"]\n  9 [size=\"73728000\", alpha=\"0.15\", expect_size=\"36864000\"] \n  9 -> 11 [size =\"36864000\"]\n  9 -> 12 [size =\"36864000\"]\n  9 -> 13 [size =\"36864000\"]\n  10 [size=\"67989504\", alpha=\"0.13\", expect_size=\"33994752\"] \n  11 [size=\"54681600\", alpha=\"0.08\", expect_size=\"27340800\"] \n  11 -> 14 [size =\"27340800\"]\n  11 -> 16 [size =\"27340800\"]\n  12 [size=\"29204480\", alpha=\"0.17\", expect_size=\"14602240\"] \n  12 -> 14 [size =\"14602240\"]\n  12 -> 15 [size =\"14602240\"]\n  13 [size=\"29165568\", alpha=\"0.01\", expect_size=\"14582784\"] \n  13 -> 15 [size =\"14582784\"]\n  14 [size=\"12587008\", alpha=\"0.08\", expect_size=\"6293504\"] \n  14 -> 17 [size =\"6293504\"]\n  15 [size=\"30816256\", alpha=\"0.00\", expect_size=\"15408128\"] \n  16 [size=\"50667520\", alpha=\"0.02\", expect_size=\"25333760\"] \n  16 -> 18 [size =\"25333760\"]\n  17 [size=\"54069248\", alpha=\"0.06\", expect_size=\"27034624\"] \n  17 -> 21 [size =\"27034624\"]\n  18 [size=\"38688768\", alpha=\"0.17\", expect_size=\"19344384\"] \n  18 -> 19 [size =\"19344384\"]\n  18 -> 20 [size =\"19344384\"]\n  19 [size=\"84692992\", alpha=\"0.03\", expect_size=\"42346496\"] \n  19 -> 23 [size =\"42346496\"]\n  20 [size=\"61775872\", alpha=\"0.03\", expect_size=\"30887936\"] \n  20 -> 23 [size =\"30887936\"]\n  21 [size=\"28751872\", alpha=\"0.03\", expect_size=\"14375936\"] \n  21 -> 22 [size =\"14375936\"]\n  22 [size=\"64759808\", alpha=\"0.08\", expect_size=\"32379904\"] \n  22 -> 25 [size =\"32379904\"]\n  22 -> 26 [size =\"32379904\"]\n  23 [size=\"49698816\", alpha=\"0.12\", expect_size=\"24849408\"] \n  23 -> 24 [size =\"24849408\"]\n  24 [size=\"53755904\", alpha=\"0.17\", expect_size=\"26877952\"] \n  25 [size=\"92551168\", alpha=\"0.07\", expect_size=\"46275584\"] \n  26 [size=\"94119936\", alpha=\"0.18\", expect_size=\"47059968\"] \n  26 -> 27 [size =\"47059968\"]\n  26 -> 28 [size =\"47059968\"]\n  27 [size=\"103729152\", alpha=\"0.06\", expect_size=\"51864576\"] \n  27 -> 29 [size =\"51864576\"]\n  28 [size=\"36261888\", alpha=\"0.06\", expect_size=\"18130944\"] \n  28 -> 30 [size =\"18130944\"]\n  28 -> 31 [size =\"18130944\"]\n  29 [size=\"20703232\", alpha=\"0.20\", expect_size=\"10351616\"] \n  29 -> 32 [size =\"10351616\"]\n  30 [size=\"33589248\", alpha=\"0.05\", expect_size=\"16794624\"] \n  30 -> 33 [size =\"16794624\"]\n  31 [size=\"47499264\", alpha=\"0.00\", expect_size=\"23749632\"] \n  31 -> 34 [size =\"23749632\"]\n  32 [size=\"59957248\", alpha=\"0.19\", expect_size=\"29978624\"] \n  32 -> 36 [size =\"29978624\"]\n  32 -> 37 [size =\"29978624\"]\n  33 [size=\"96681984\", alpha=\"0.02\", expect_size=\"48340992\"] \n  34 [size=\"58642432\", alpha=\"0.06\", expect_size=\"29321216\"] \n  34 -> 35 [size =\"29321216\"]\n  34 -> 37 [size =\"29321216\"]\n  35 [size=\"42708992\", alpha=\"0.14\", expect_size=\"21354496\"] \n  35 -> 38 [size =\"21354496\"]\n  35 -> 39 [size =\"21354496\"]\n  35 -> 40 [size =\"21354496\"]\n  36 [size=\"78041088\", alpha=\"0.10\", expect_size=\"39020544\"] \n  36 -> 38 [size =\"39020544\"]\n  36 -> 39 [size =\"39020544\"]\n  36 -> 40 [size =\"39020544\"]\n  37 [size=\"70926336\", alpha=\"0.16\", expect_size=\"35463168\"] \n  38 [size=\"98353152\", alpha=\"0.07\", expect_size=\"49176576\"] \n  39 [size=\"32120832\", alpha=\"0.14\", expect_size=\"16060416\"] \n  40 [size=\"29841408\", alpha=\"0.12\", expect_size=\"14920704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44735147\", alpha=\"0.12\", expect_size=\"13420544\"] \n  1 -> 18 [size =\"13420544\"]\n  1 -> 19 [size =\"13420544\"]\n  1 -> 20 [size =\"13420544\"]\n  1 -> 22 [size =\"13420544\"]\n  2 [size=\"56091307\", alpha=\"0.08\", expect_size=\"16827392\"] \n  2 -> 13 [size =\"16827392\"]\n  2 -> 15 [size =\"16827392\"]\n  2 -> 19 [size =\"16827392\"]\n  2 -> 20 [size =\"16827392\"]\n  2 -> 22 [size =\"16827392\"]\n  3 [size=\"63788373\", alpha=\"0.10\", expect_size=\"19136512\"] \n  3 -> 15 [size =\"19136512\"]\n  3 -> 18 [size =\"19136512\"]\n  3 -> 24 [size =\"19136512\"]\n  4 [size=\"17967787\", alpha=\"0.08\", expect_size=\"5390336\"] \n  4 -> 14 [size =\"5390336\"]\n  4 -> 15 [size =\"5390336\"]\n  4 -> 17 [size =\"5390336\"]\n  4 -> 18 [size =\"5390336\"]\n  4 -> 19 [size =\"5390336\"]\n  4 -> 24 [size =\"5390336\"]\n  5 [size=\"33570133\", alpha=\"0.03\", expect_size=\"10071040\"] \n  5 -> 14 [size =\"10071040\"]\n  5 -> 15 [size =\"10071040\"]\n  5 -> 16 [size =\"10071040\"]\n  5 -> 17 [size =\"10071040\"]\n  5 -> 18 [size =\"10071040\"]\n  5 -> 20 [size =\"10071040\"]\n  5 -> 22 [size =\"10071040\"]\n  5 -> 24 [size =\"10071040\"]\n  6 [size=\"141922987\", alpha=\"0.01\", expect_size=\"42576896\"] \n  6 -> 15 [size =\"42576896\"]\n  6 -> 15 [size =\"42576896\"]\n  6 -> 16 [size =\"42576896\"]\n  6 -> 18 [size =\"42576896\"]\n  6 -> 18 [size =\"42576896\"]\n  6 -> 19 [size =\"42576896\"]\n  6 -> 20 [size =\"42576896\"]\n  6 -> 24 [size =\"42576896\"]\n  7 [size=\"36024320\", alpha=\"0.10\", expect_size=\"10807296\"] \n  7 -> 15 [size =\"10807296\"]\n  7 -> 16 [size =\"10807296\"]\n  7 -> 17 [size =\"10807296\"]\n  7 -> 19 [size =\"10807296\"]\n  7 -> 21 [size =\"10807296\"]\n  7 -> 24 [size =\"10807296\"]\n  8 [size=\"70570667\", alpha=\"0.04\", expect_size=\"21171200\"] \n  8 -> 16 [size =\"21171200\"]\n  8 -> 21 [size =\"21171200\"]\n  8 -> 24 [size =\"21171200\"]\n  9 [size=\"65058133\", alpha=\"0.05\", expect_size=\"19517440\"] \n  9 -> 17 [size =\"19517440\"]\n  9 -> 18 [size =\"19517440\"]\n  9 -> 19 [size =\"19517440\"]\n  9 -> 21 [size =\"19517440\"]\n  9 -> 23 [size =\"19517440\"]\n  10 [size=\"96129707\", alpha=\"0.13\", expect_size=\"28838912\"] \n  10 -> 13 [size =\"28838912\"]\n  10 -> 17 [size =\"28838912\"]\n  10 -> 19 [size =\"28838912\"]\n  10 -> 21 [size =\"28838912\"]\n  11 [size=\"55128747\", alpha=\"0.19\", expect_size=\"16538624\"] \n  11 -> 14 [size =\"16538624\"]\n  11 -> 16 [size =\"16538624\"]\n  11 -> 18 [size =\"16538624\"]\n  11 -> 22 [size =\"16538624\"]\n  12 [size=\"147906560\", alpha=\"0.01\", expect_size=\"44371968\"] \n  12 -> 15 [size =\"44371968\"]\n  12 -> 16 [size =\"44371968\"]\n  12 -> 17 [size =\"44371968\"]\n  12 -> 18 [size =\"44371968\"]\n  12 -> 21 [size =\"44371968\"]\n  12 -> 22 [size =\"44371968\"]\n  13 [size=\"56954880\", alpha=\"0.07\", expect_size=\"17086464\"] \n  13 -> 26 [size =\"17086464\"]\n  13 -> 30 [size =\"17086464\"]\n  13 -> 31 [size =\"17086464\"]\n  13 -> 33 [size =\"17086464\"]\n  13 -> 35 [size =\"17086464\"]\n  13 -> 36 [size =\"17086464\"]\n  14 [size=\"137663147\", alpha=\"0.04\", expect_size=\"41298944\"] \n  14 -> 26 [size =\"41298944\"]\n  14 -> 29 [size =\"41298944\"]\n  14 -> 31 [size =\"41298944\"]\n  14 -> 33 [size =\"41298944\"]\n  14 -> 35 [size =\"41298944\"]\n  15 [size=\"42366293\", alpha=\"0.09\", expect_size=\"12709888\"] \n  15 -> 36 [size =\"12709888\"]\n  16 [size=\"67556693\", alpha=\"0.02\", expect_size=\"20267008\"] \n  16 -> 31 [size =\"20267008\"]\n  16 -> 35 [size =\"20267008\"]\n  17 [size=\"77090133\", alpha=\"0.03\", expect_size=\"23127040\"] \n  17 -> 26 [size =\"23127040\"]\n  17 -> 27 [size =\"23127040\"]\n  17 -> 31 [size =\"23127040\"]\n  17 -> 32 [size =\"23127040\"]\n  17 -> 35 [size =\"23127040\"]\n  17 -> 36 [size =\"23127040\"]\n  18 [size=\"153763840\", alpha=\"0.06\", expect_size=\"46129152\"] \n  18 -> 26 [size =\"46129152\"]\n  18 -> 27 [size =\"46129152\"]\n  18 -> 28 [size =\"46129152\"]\n  18 -> 31 [size =\"46129152\"]\n  18 -> 32 [size =\"46129152\"]\n  19 [size=\"28317013\", alpha=\"0.13\", expect_size=\"8495104\"] \n  19 -> 26 [size =\"8495104\"]\n  19 -> 28 [size =\"8495104\"]\n  19 -> 31 [size =\"8495104\"]\n  19 -> 32 [size =\"8495104\"]\n  20 [size=\"66416640\", alpha=\"0.03\", expect_size=\"19924992\"] \n  20 -> 25 [size =\"19924992\"]\n  20 -> 26 [size =\"19924992\"]\n  20 -> 32 [size =\"19924992\"]\n  20 -> 33 [size =\"19924992\"]\n  20 -> 36 [size =\"19924992\"]\n  21 [size=\"169823573\", alpha=\"0.17\", expect_size=\"50947072\"] \n  21 -> 28 [size =\"50947072\"]\n  21 -> 31 [size =\"50947072\"]\n  21 -> 32 [size =\"50947072\"]\n  21 -> 33 [size =\"50947072\"]\n  21 -> 36 [size =\"50947072\"]\n  22 [size=\"158255787\", alpha=\"0.15\", expect_size=\"47476736\"] \n  22 -> 27 [size =\"47476736\"]\n  22 -> 32 [size =\"47476736\"]\n  22 -> 36 [size =\"47476736\"]\n  23 [size=\"169004373\", alpha=\"0.20\", expect_size=\"50701312\"] \n  23 -> 30 [size =\"50701312\"]\n  23 -> 32 [size =\"50701312\"]\n  23 -> 33 [size =\"50701312\"]\n  23 -> 34 [size =\"50701312\"]\n  23 -> 35 [size =\"50701312\"]\n  24 [size=\"64324267\", alpha=\"0.04\", expect_size=\"19297280\"] \n  24 -> 26 [size =\"19297280\"]\n  24 -> 27 [size =\"19297280\"]\n  24 -> 31 [size =\"19297280\"]\n  24 -> 33 [size =\"19297280\"]\n  25 [size=\"92777813\", alpha=\"0.11\", expect_size=\"27833344\"] \n  25 -> 40 [size =\"27833344\"]\n  26 [size=\"162785280\", alpha=\"0.13\", expect_size=\"48835584\"] \n  27 [size=\"20718933\", alpha=\"0.18\", expect_size=\"6215680\"] \n  27 -> 40 [size =\"6215680\"]\n  28 [size=\"47889067\", alpha=\"0.09\", expect_size=\"14366720\"] \n  28 -> 40 [size =\"14366720\"]\n  29 [size=\"94672213\", alpha=\"0.07\", expect_size=\"28401664\"] \n  29 -> 39 [size =\"28401664\"]\n  29 -> 40 [size =\"28401664\"]\n  30 [size=\"39703893\", alpha=\"0.14\", expect_size=\"11911168\"] \n  30 -> 39 [size =\"11911168\"]\n  31 [size=\"64727040\", alpha=\"0.07\", expect_size=\"19418112\"] \n  31 -> 38 [size =\"19418112\"]\n  31 -> 39 [size =\"19418112\"]\n  31 -> 40 [size =\"19418112\"]\n  32 [size=\"39717547\", alpha=\"0.16\", expect_size=\"11915264\"] \n  32 -> 39 [size =\"11915264\"]\n  32 -> 39 [size =\"11915264\"]\n  33 [size=\"160576853\", alpha=\"0.10\", expect_size=\"48173056\"] \n  34 [size=\"159047680\", alpha=\"0.19\", expect_size=\"47714304\"] \n  34 -> 39 [size =\"47714304\"]\n  35 [size=\"35621547\", alpha=\"0.11\", expect_size=\"10686464\"] \n  35 -> 37 [size =\"10686464\"]\n  35 -> 39 [size =\"10686464\"]\n  36 [size=\"120965120\", alpha=\"0.10\", expect_size=\"36289536\"] \n  36 -> 39 [size =\"36289536\"]\n  36 -> 40 [size =\"36289536\"]\n  37 [size=\"67672747\", alpha=\"0.16\", expect_size=\"20301824\"] \n  38 [size=\"51572053\", alpha=\"0.20\", expect_size=\"15471616\"] \n  39 [size=\"125767680\", alpha=\"0.05\", expect_size=\"37730304\"] \n  40 [size=\"23265280\", alpha=\"0.16\", expect_size=\"6979584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81914880\", alpha=\"0.02\", expect_size=\"32765952\"] \n  1 -> 6 [size =\"32765952\"]\n  1 -> 7 [size =\"32765952\"]\n  1 -> 8 [size =\"32765952\"]\n  1 -> 9 [size =\"32765952\"]\n  1 -> 10 [size =\"32765952\"]\n  2 [size=\"49264640\", alpha=\"0.06\", expect_size=\"19705856\"] \n  3 [size=\"48785920\", alpha=\"0.06\", expect_size=\"19514368\"] \n  3 -> 8 [size =\"19514368\"]\n  3 -> 9 [size =\"19514368\"]\n  4 [size=\"76065280\", alpha=\"0.16\", expect_size=\"30426112\"] \n  4 -> 6 [size =\"30426112\"]\n  4 -> 7 [size =\"30426112\"]\n  4 -> 10 [size =\"30426112\"]\n  5 [size=\"90227200\", alpha=\"0.06\", expect_size=\"36090880\"] \n  5 -> 6 [size =\"36090880\"]\n  5 -> 7 [size =\"36090880\"]\n  5 -> 8 [size =\"36090880\"]\n  6 [size=\"122634240\", alpha=\"0.10\", expect_size=\"49053696\"] \n  6 -> 11 [size =\"49053696\"]\n  6 -> 12 [size =\"49053696\"]\n  6 -> 13 [size =\"49053696\"]\n  7 [size=\"80547840\", alpha=\"0.09\", expect_size=\"32219136\"] \n  7 -> 12 [size =\"32219136\"]\n  7 -> 13 [size =\"32219136\"]\n  7 -> 15 [size =\"32219136\"]\n  8 [size=\"65984000\", alpha=\"0.19\", expect_size=\"26393600\"] \n  8 -> 12 [size =\"26393600\"]\n  8 -> 13 [size =\"26393600\"]\n  9 [size=\"126768640\", alpha=\"0.19\", expect_size=\"50707456\"] \n  9 -> 11 [size =\"50707456\"]\n  9 -> 16 [size =\"50707456\"]\n  10 [size=\"32906240\", alpha=\"0.06\", expect_size=\"13162496\"] \n  10 -> 11 [size =\"13162496\"]\n  10 -> 12 [size =\"13162496\"]\n  10 -> 13 [size =\"13162496\"]\n  10 -> 14 [size =\"13162496\"]\n  10 -> 15 [size =\"13162496\"]\n  10 -> 16 [size =\"13162496\"]\n  11 [size=\"61834240\", alpha=\"0.02\", expect_size=\"24733696\"] \n  11 -> 18 [size =\"24733696\"]\n  11 -> 24 [size =\"24733696\"]\n  12 [size=\"71354880\", alpha=\"0.04\", expect_size=\"28541952\"] \n  12 -> 17 [size =\"28541952\"]\n  12 -> 19 [size =\"28541952\"]\n  12 -> 21 [size =\"28541952\"]\n  13 [size=\"108928000\", alpha=\"0.03\", expect_size=\"43571200\"] \n  13 -> 21 [size =\"43571200\"]\n  14 [size=\"23910400\", alpha=\"0.05\", expect_size=\"9564160\"] \n  14 -> 21 [size =\"9564160\"]\n  14 -> 23 [size =\"9564160\"]\n  15 [size=\"115947520\", alpha=\"0.05\", expect_size=\"46379008\"] \n  15 -> 19 [size =\"46379008\"]\n  15 -> 20 [size =\"46379008\"]\n  15 -> 21 [size =\"46379008\"]\n  15 -> 22 [size =\"46379008\"]\n  16 [size=\"33221120\", alpha=\"0.00\", expect_size=\"13288448\"] \n  16 -> 18 [size =\"13288448\"]\n  17 [size=\"94650880\", alpha=\"0.20\", expect_size=\"37860352\"] \n  17 -> 27 [size =\"37860352\"]\n  18 [size=\"30067200\", alpha=\"0.07\", expect_size=\"12026880\"] \n  18 -> 25 [size =\"12026880\"]\n  18 -> 26 [size =\"12026880\"]\n  19 [size=\"21629440\", alpha=\"0.12\", expect_size=\"8651776\"] \n  19 -> 25 [size =\"8651776\"]\n  20 [size=\"17269760\", alpha=\"0.03\", expect_size=\"6907904\"] \n  20 -> 25 [size =\"6907904\"]\n  20 -> 27 [size =\"6907904\"]\n  21 [size=\"51545600\", alpha=\"0.06\", expect_size=\"20618240\"] \n  21 -> 25 [size =\"20618240\"]\n  21 -> 26 [size =\"20618240\"]\n  21 -> 27 [size =\"20618240\"]\n  22 [size=\"62676480\", alpha=\"0.14\", expect_size=\"25070592\"] \n  23 [size=\"85056000\", alpha=\"0.09\", expect_size=\"34022400\"] \n  24 [size=\"101788160\", alpha=\"0.15\", expect_size=\"40715264\"] \n  25 [size=\"130209280\", alpha=\"0.13\", expect_size=\"52083712\"] \n  25 -> 31 [size =\"52083712\"]\n  26 [size=\"41244160\", alpha=\"0.11\", expect_size=\"16497664\"] \n  26 -> 28 [size =\"16497664\"]\n  26 -> 31 [size =\"16497664\"]\n  27 [size=\"43601920\", alpha=\"0.19\", expect_size=\"17440768\"] \n  27 -> 29 [size =\"17440768\"]\n  27 -> 30 [size =\"17440768\"]\n  27 -> 31 [size =\"17440768\"]\n  28 [size=\"41433600\", alpha=\"0.17\", expect_size=\"16573440\"] \n  28 -> 32 [size =\"16573440\"]\n  28 -> 33 [size =\"16573440\"]\n  29 [size=\"83051520\", alpha=\"0.14\", expect_size=\"33220608\"] \n  29 -> 32 [size =\"33220608\"]\n  29 -> 34 [size =\"33220608\"]\n  30 [size=\"35627520\", alpha=\"0.14\", expect_size=\"14251008\"] \n  31 [size=\"53140480\", alpha=\"0.02\", expect_size=\"21256192\"] \n  31 -> 35 [size =\"21256192\"]\n  32 [size=\"86438400\", alpha=\"0.01\", expect_size=\"34575360\"] \n  32 -> 36 [size =\"34575360\"]\n  32 -> 37 [size =\"34575360\"]\n  32 -> 39 [size =\"34575360\"]\n  33 [size=\"53713920\", alpha=\"0.15\", expect_size=\"21485568\"] \n  33 -> 37 [size =\"21485568\"]\n  33 -> 38 [size =\"21485568\"]\n  33 -> 39 [size =\"21485568\"]\n  34 [size=\"108613120\", alpha=\"0.12\", expect_size=\"43445248\"] \n  34 -> 36 [size =\"43445248\"]\n  34 -> 37 [size =\"43445248\"]\n  34 -> 38 [size =\"43445248\"]\n  35 [size=\"78161920\", alpha=\"0.06\", expect_size=\"31264768\"] \n  35 -> 38 [size =\"31264768\"]\n  36 [size=\"39488000\", alpha=\"0.03\", expect_size=\"15795200\"] \n  36 -> 40 [size =\"15795200\"]\n  37 [size=\"102113280\", alpha=\"0.14\", expect_size=\"40845312\"] \n  37 -> 40 [size =\"40845312\"]\n  38 [size=\"97556480\", alpha=\"0.08\", expect_size=\"39022592\"] \n  39 [size=\"78694400\", alpha=\"0.03\", expect_size=\"31477760\"] \n  40 [size=\"41221120\", alpha=\"0.19\", expect_size=\"16488448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86497280\", alpha=\"0.08\", expect_size=\"34598912\"] \n  1 -> 22 [size =\"34598912\"]\n  1 -> 26 [size =\"34598912\"]\n  1 -> 32 [size =\"34598912\"]\n  1 -> 34 [size =\"34598912\"]\n  1 -> 38 [size =\"34598912\"]\n  1 -> 39 [size =\"34598912\"]\n  1 -> 39 [size =\"34598912\"]\n  1 -> 40 [size =\"34598912\"]\n  2 [size=\"89528320\", alpha=\"0.08\", expect_size=\"35811328\"] \n  2 -> 21 [size =\"35811328\"]\n  2 -> 22 [size =\"35811328\"]\n  2 -> 23 [size =\"35811328\"]\n  2 -> 29 [size =\"35811328\"]\n  2 -> 33 [size =\"35811328\"]\n  2 -> 39 [size =\"35811328\"]\n  2 -> 40 [size =\"35811328\"]\n  3 [size=\"55390720\", alpha=\"0.17\", expect_size=\"22156288\"] \n  3 -> 29 [size =\"22156288\"]\n  3 -> 33 [size =\"22156288\"]\n  3 -> 35 [size =\"22156288\"]\n  3 -> 36 [size =\"22156288\"]\n  3 -> 38 [size =\"22156288\"]\n  4 [size=\"61140480\", alpha=\"0.04\", expect_size=\"24456192\"] \n  4 -> 21 [size =\"24456192\"]\n  4 -> 22 [size =\"24456192\"]\n  4 -> 30 [size =\"24456192\"]\n  4 -> 33 [size =\"24456192\"]\n  4 -> 34 [size =\"24456192\"]\n  4 -> 36 [size =\"24456192\"]\n  4 -> 37 [size =\"24456192\"]\n  4 -> 40 [size =\"24456192\"]\n  5 [size=\"49077760\", alpha=\"0.06\", expect_size=\"19631104\"] \n  5 -> 26 [size =\"19631104\"]\n  5 -> 29 [size =\"19631104\"]\n  5 -> 33 [size =\"19631104\"]\n  5 -> 35 [size =\"19631104\"]\n  5 -> 36 [size =\"19631104\"]\n  5 -> 39 [size =\"19631104\"]\n  5 -> 40 [size =\"19631104\"]\n  6 [size=\"49876480\", alpha=\"0.09\", expect_size=\"19950592\"] \n  6 -> 29 [size =\"19950592\"]\n  6 -> 33 [size =\"19950592\"]\n  6 -> 35 [size =\"19950592\"]\n  6 -> 38 [size =\"19950592\"]\n  6 -> 40 [size =\"19950592\"]\n  7 [size=\"122759680\", alpha=\"0.08\", expect_size=\"49103872\"] \n  7 -> 22 [size =\"49103872\"]\n  7 -> 26 [size =\"49103872\"]\n  7 -> 27 [size =\"49103872\"]\n  7 -> 29 [size =\"49103872\"]\n  7 -> 30 [size =\"49103872\"]\n  7 -> 35 [size =\"49103872\"]\n  7 -> 36 [size =\"49103872\"]\n  8 [size=\"18590720\", alpha=\"0.15\", expect_size=\"7436288\"] \n  8 -> 26 [size =\"7436288\"]\n  8 -> 29 [size =\"7436288\"]\n  8 -> 35 [size =\"7436288\"]\n  8 -> 37 [size =\"7436288\"]\n  8 -> 38 [size =\"7436288\"]\n  8 -> 39 [size =\"7436288\"]\n  9 [size=\"124805120\", alpha=\"0.03\", expect_size=\"49922048\"] \n  9 -> 21 [size =\"49922048\"]\n  9 -> 26 [size =\"49922048\"]\n  9 -> 29 [size =\"49922048\"]\n  9 -> 34 [size =\"49922048\"]\n  9 -> 35 [size =\"49922048\"]\n  9 -> 37 [size =\"49922048\"]\n  9 -> 38 [size =\"49922048\"]\n  9 -> 39 [size =\"49922048\"]\n  10 [size=\"23500800\", alpha=\"0.06\", expect_size=\"9400320\"] \n  10 -> 25 [size =\"9400320\"]\n  10 -> 27 [size =\"9400320\"]\n  10 -> 31 [size =\"9400320\"]\n  10 -> 34 [size =\"9400320\"]\n  10 -> 35 [size =\"9400320\"]\n  10 -> 39 [size =\"9400320\"]\n  11 [size=\"118302720\", alpha=\"0.06\", expect_size=\"47321088\"] \n  11 -> 22 [size =\"47321088\"]\n  11 -> 27 [size =\"47321088\"]\n  11 -> 28 [size =\"47321088\"]\n  11 -> 31 [size =\"47321088\"]\n  11 -> 32 [size =\"47321088\"]\n  11 -> 33 [size =\"47321088\"]\n  11 -> 34 [size =\"47321088\"]\n  11 -> 35 [size =\"47321088\"]\n  11 -> 36 [size =\"47321088\"]\n  11 -> 38 [size =\"47321088\"]\n  11 -> 39 [size =\"47321088\"]\n  12 [size=\"48056320\", alpha=\"0.07\", expect_size=\"19222528\"] \n  12 -> 21 [size =\"19222528\"]\n  12 -> 22 [size =\"19222528\"]\n  12 -> 24 [size =\"19222528\"]\n  12 -> 27 [size =\"19222528\"]\n  12 -> 30 [size =\"19222528\"]\n  12 -> 34 [size =\"19222528\"]\n  12 -> 34 [size =\"19222528\"]\n  12 -> 36 [size =\"19222528\"]\n  12 -> 39 [size =\"19222528\"]\n  13 [size=\"97574400\", alpha=\"0.12\", expect_size=\"39029760\"] \n  13 -> 21 [size =\"39029760\"]\n  13 -> 22 [size =\"39029760\"]\n  13 -> 26 [size =\"39029760\"]\n  13 -> 28 [size =\"39029760\"]\n  13 -> 30 [size =\"39029760\"]\n  13 -> 31 [size =\"39029760\"]\n  13 -> 34 [size =\"39029760\"]\n  13 -> 37 [size =\"39029760\"]\n  13 -> 38 [size =\"39029760\"]\n  13 -> 39 [size =\"39029760\"]\n  14 [size=\"76979200\", alpha=\"0.04\", expect_size=\"30791680\"] \n  14 -> 21 [size =\"30791680\"]\n  14 -> 29 [size =\"30791680\"]\n  14 -> 30 [size =\"30791680\"]\n  14 -> 34 [size =\"30791680\"]\n  14 -> 35 [size =\"30791680\"]\n  14 -> 36 [size =\"30791680\"]\n  14 -> 37 [size =\"30791680\"]\n  14 -> 39 [size =\"30791680\"]\n  15 [size=\"100820480\", alpha=\"0.08\", expect_size=\"40328192\"] \n  15 -> 21 [size =\"40328192\"]\n  15 -> 22 [size =\"40328192\"]\n  15 -> 24 [size =\"40328192\"]\n  15 -> 25 [size =\"40328192\"]\n  15 -> 27 [size =\"40328192\"]\n  15 -> 30 [size =\"40328192\"]\n  15 -> 34 [size =\"40328192\"]\n  15 -> 35 [size =\"40328192\"]\n  15 -> 37 [size =\"40328192\"]\n  15 -> 38 [size =\"40328192\"]\n  15 -> 40 [size =\"40328192\"]\n  16 [size=\"20510720\", alpha=\"0.07\", expect_size=\"8204288\"] \n  16 -> 21 [size =\"8204288\"]\n  16 -> 24 [size =\"8204288\"]\n  16 -> 30 [size =\"8204288\"]\n  16 -> 33 [size =\"8204288\"]\n  16 -> 34 [size =\"8204288\"]\n  16 -> 35 [size =\"8204288\"]\n  16 -> 36 [size =\"8204288\"]\n  16 -> 37 [size =\"8204288\"]\n  16 -> 38 [size =\"8204288\"]\n  16 -> 38 [size =\"8204288\"]\n  16 -> 40 [size =\"8204288\"]\n  17 [size=\"70929920\", alpha=\"0.02\", expect_size=\"28371968\"] \n  17 -> 22 [size =\"28371968\"]\n  17 -> 23 [size =\"28371968\"]\n  17 -> 25 [size =\"28371968\"]\n  17 -> 34 [size =\"28371968\"]\n  17 -> 35 [size =\"28371968\"]\n  17 -> 35 [size =\"28371968\"]\n  17 -> 36 [size =\"28371968\"]\n  17 -> 37 [size =\"28371968\"]\n  17 -> 38 [size =\"28371968\"]\n  18 [size=\"120012800\", alpha=\"0.00\", expect_size=\"48005120\"] \n  18 -> 21 [size =\"48005120\"]\n  18 -> 22 [size =\"48005120\"]\n  18 -> 27 [size =\"48005120\"]\n  18 -> 28 [size =\"48005120\"]\n  18 -> 32 [size =\"48005120\"]\n  18 -> 36 [size =\"48005120\"]\n  18 -> 38 [size =\"48005120\"]\n  18 -> 40 [size =\"48005120\"]\n  19 [size=\"89282560\", alpha=\"0.20\", expect_size=\"35713024\"] \n  19 -> 21 [size =\"35713024\"]\n  19 -> 22 [size =\"35713024\"]\n  19 -> 27 [size =\"35713024\"]\n  19 -> 34 [size =\"35713024\"]\n  19 -> 36 [size =\"35713024\"]\n  19 -> 37 [size =\"35713024\"]\n  19 -> 38 [size =\"35713024\"]\n  19 -> 39 [size =\"35713024\"]\n  20 [size=\"107525120\", alpha=\"0.13\", expect_size=\"43010048\"] \n  20 -> 22 [size =\"43010048\"]\n  20 -> 22 [size =\"43010048\"]\n  20 -> 27 [size =\"43010048\"]\n  20 -> 28 [size =\"43010048\"]\n  20 -> 34 [size =\"43010048\"]\n  20 -> 35 [size =\"43010048\"]\n  20 -> 39 [size =\"43010048\"]\n  20 -> 39 [size =\"43010048\"]\n  21 [size=\"22886400\", alpha=\"0.20\", expect_size=\"9154560\"] \n  22 [size=\"58094080\", alpha=\"0.19\", expect_size=\"23237632\"] \n  23 [size=\"96780800\", alpha=\"0.05\", expect_size=\"38712320\"] \n  24 [size=\"47600640\", alpha=\"0.20\", expect_size=\"19040256\"] \n  25 [size=\"70632960\", alpha=\"0.00\", expect_size=\"28253184\"] \n  26 [size=\"120243200\", alpha=\"0.07\", expect_size=\"48097280\"] \n  27 [size=\"42979840\", alpha=\"0.12\", expect_size=\"17191936\"] \n  28 [size=\"56245760\", alpha=\"0.19\", expect_size=\"22498304\"] \n  29 [size=\"56998400\", alpha=\"0.04\", expect_size=\"22799360\"] \n  30 [size=\"54223360\", alpha=\"0.11\", expect_size=\"21689344\"] \n  31 [size=\"14776320\", alpha=\"0.16\", expect_size=\"5910528\"] \n  32 [size=\"130004480\", alpha=\"0.07\", expect_size=\"52001792\"] \n  33 [size=\"122439680\", alpha=\"0.12\", expect_size=\"48975872\"] \n  34 [size=\"34365440\", alpha=\"0.08\", expect_size=\"13746176\"] \n  35 [size=\"31782400\", alpha=\"0.19\", expect_size=\"12712960\"] \n  36 [size=\"32693760\", alpha=\"0.11\", expect_size=\"13077504\"] \n  37 [size=\"73868800\", alpha=\"0.13\", expect_size=\"29547520\"] \n  38 [size=\"29035520\", alpha=\"0.13\", expect_size=\"11614208\"] \n  39 [size=\"21642240\", alpha=\"0.06\", expect_size=\"8656896\"] \n  40 [size=\"45422080\", alpha=\"0.15\", expect_size=\"18168832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100843520\", alpha=\"0.09\", expect_size=\"30253056\"] \n  1 -> 2 [size =\"30253056\"]\n  2 [size=\"87842133\", alpha=\"0.05\", expect_size=\"26352640\"] \n  2 -> 3 [size =\"26352640\"]\n  3 [size=\"111076693\", alpha=\"0.12\", expect_size=\"33323008\"] \n  3 -> 4 [size =\"33323008\"]\n  4 [size=\"81960960\", alpha=\"0.04\", expect_size=\"24588288\"] \n  4 -> 5 [size =\"24588288\"]\n  5 [size=\"141858133\", alpha=\"0.09\", expect_size=\"42557440\"] \n  5 -> 6 [size =\"42557440\"]\n  6 [size=\"119709013\", alpha=\"0.07\", expect_size=\"35912704\"] \n  6 -> 7 [size =\"35912704\"]\n  7 [size=\"99041280\", alpha=\"0.11\", expect_size=\"29712384\"] \n  7 -> 8 [size =\"29712384\"]\n  8 [size=\"88074240\", alpha=\"0.19\", expect_size=\"26422272\"] \n  8 -> 9 [size =\"26422272\"]\n  9 [size=\"34546347\", alpha=\"0.11\", expect_size=\"10363904\"] \n  9 -> 10 [size =\"10363904\"]\n  10 [size=\"152753493\", alpha=\"0.14\", expect_size=\"45826048\"] \n  10 -> 11 [size =\"45826048\"]\n  11 [size=\"109322240\", alpha=\"0.04\", expect_size=\"32796672\"] \n  11 -> 12 [size =\"32796672\"]\n  12 [size=\"24128853\", alpha=\"0.20\", expect_size=\"7238656\"] \n  12 -> 13 [size =\"7238656\"]\n  13 [size=\"63566507\", alpha=\"0.20\", expect_size=\"19069952\"] \n  13 -> 14 [size =\"19069952\"]\n  14 [size=\"157313707\", alpha=\"0.05\", expect_size=\"47194112\"] \n  14 -> 15 [size =\"47194112\"]\n  15 [size=\"27767467\", alpha=\"0.06\", expect_size=\"8330240\"] \n  15 -> 16 [size =\"8330240\"]\n  16 [size=\"102058667\", alpha=\"0.11\", expect_size=\"30617600\"] \n  16 -> 17 [size =\"30617600\"]\n  17 [size=\"156682240\", alpha=\"0.14\", expect_size=\"47004672\"] \n  17 -> 18 [size =\"47004672\"]\n  18 [size=\"89555627\", alpha=\"0.00\", expect_size=\"26866688\"] \n  18 -> 19 [size =\"26866688\"]\n  19 [size=\"78660267\", alpha=\"0.13\", expect_size=\"23598080\"] \n  19 -> 20 [size =\"23598080\"]\n  20 [size=\"167195307\", alpha=\"0.09\", expect_size=\"50158592\"] \n  20 -> 21 [size =\"50158592\"]\n  21 [size=\"121156267\", alpha=\"0.15\", expect_size=\"36346880\"] \n  21 -> 22 [size =\"36346880\"]\n  22 [size=\"152429227\", alpha=\"0.09\", expect_size=\"45728768\"] \n  22 -> 23 [size =\"45728768\"]\n  23 [size=\"152316587\", alpha=\"0.16\", expect_size=\"45694976\"] \n  23 -> 24 [size =\"45694976\"]\n  24 [size=\"150101333\", alpha=\"0.11\", expect_size=\"45030400\"] \n  24 -> 25 [size =\"45030400\"]\n  25 [size=\"28692480\", alpha=\"0.02\", expect_size=\"8607744\"] \n  25 -> 26 [size =\"8607744\"]\n  26 [size=\"75431253\", alpha=\"0.06\", expect_size=\"22629376\"] \n  26 -> 27 [size =\"22629376\"]\n  27 [size=\"165147307\", alpha=\"0.20\", expect_size=\"49544192\"] \n  27 -> 28 [size =\"49544192\"]\n  28 [size=\"116459520\", alpha=\"0.03\", expect_size=\"34937856\"] \n  28 -> 29 [size =\"34937856\"]\n  29 [size=\"116947627\", alpha=\"0.08\", expect_size=\"35084288\"] \n  29 -> 30 [size =\"35084288\"]\n  30 [size=\"64409600\", alpha=\"0.11\", expect_size=\"19322880\"] \n  30 -> 31 [size =\"19322880\"]\n  31 [size=\"132403200\", alpha=\"0.05\", expect_size=\"39720960\"] \n  31 -> 32 [size =\"39720960\"]\n  32 [size=\"89726293\", alpha=\"0.00\", expect_size=\"26917888\"] \n  32 -> 33 [size =\"26917888\"]\n  33 [size=\"164031147\", alpha=\"0.01\", expect_size=\"49209344\"] \n  33 -> 34 [size =\"49209344\"]\n  34 [size=\"134345387\", alpha=\"0.20\", expect_size=\"40303616\"] \n  34 -> 35 [size =\"40303616\"]\n  35 [size=\"65157120\", alpha=\"0.20\", expect_size=\"19547136\"] \n  35 -> 36 [size =\"19547136\"]\n  36 [size=\"80851627\", alpha=\"0.10\", expect_size=\"24255488\"] \n  36 -> 37 [size =\"24255488\"]\n  37 [size=\"126371840\", alpha=\"0.19\", expect_size=\"37911552\"] \n  37 -> 38 [size =\"37911552\"]\n  38 [size=\"125999787\", alpha=\"0.17\", expect_size=\"37799936\"] \n  38 -> 39 [size =\"37799936\"]\n  39 [size=\"150340267\", alpha=\"0.02\", expect_size=\"45102080\"] \n  39 -> 40 [size =\"45102080\"]\n  40 [size=\"59173547\", alpha=\"0.06\", expect_size=\"17752064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118060373\", alpha=\"0.09\", expect_size=\"35418112\"] \n  1 -> 14 [size =\"35418112\"]\n  1 -> 16 [size =\"35418112\"]\n  1 -> 19 [size =\"35418112\"]\n  2 [size=\"32972800\", alpha=\"0.12\", expect_size=\"9891840\"] \n  2 -> 15 [size =\"9891840\"]\n  2 -> 20 [size =\"9891840\"]\n  2 -> 22 [size =\"9891840\"]\n  2 -> 24 [size =\"9891840\"]\n  3 [size=\"153009493\", alpha=\"0.14\", expect_size=\"45902848\"] \n  3 -> 13 [size =\"45902848\"]\n  3 -> 14 [size =\"45902848\"]\n  3 -> 17 [size =\"45902848\"]\n  3 -> 20 [size =\"45902848\"]\n  3 -> 22 [size =\"45902848\"]\n  4 [size=\"81551360\", alpha=\"0.01\", expect_size=\"24465408\"] \n  4 -> 12 [size =\"24465408\"]\n  4 -> 14 [size =\"24465408\"]\n  4 -> 17 [size =\"24465408\"]\n  4 -> 19 [size =\"24465408\"]\n  4 -> 21 [size =\"24465408\"]\n  4 -> 25 [size =\"24465408\"]\n  5 [size=\"102990507\", alpha=\"0.04\", expect_size=\"30897152\"] \n  5 -> 13 [size =\"30897152\"]\n  5 -> 21 [size =\"30897152\"]\n  5 -> 22 [size =\"30897152\"]\n  5 -> 24 [size =\"30897152\"]\n  6 [size=\"28914347\", alpha=\"0.20\", expect_size=\"8674304\"] \n  6 -> 12 [size =\"8674304\"]\n  6 -> 13 [size =\"8674304\"]\n  6 -> 15 [size =\"8674304\"]\n  6 -> 17 [size =\"8674304\"]\n  6 -> 19 [size =\"8674304\"]\n  6 -> 20 [size =\"8674304\"]\n  6 -> 21 [size =\"8674304\"]\n  6 -> 22 [size =\"8674304\"]\n  6 -> 23 [size =\"8674304\"]\n  7 [size=\"131563520\", alpha=\"0.16\", expect_size=\"39469056\"] \n  7 -> 12 [size =\"39469056\"]\n  7 -> 14 [size =\"39469056\"]\n  7 -> 15 [size =\"39469056\"]\n  7 -> 19 [size =\"39469056\"]\n  7 -> 24 [size =\"39469056\"]\n  7 -> 25 [size =\"39469056\"]\n  8 [size=\"120473600\", alpha=\"0.15\", expect_size=\"36142080\"] \n  8 -> 12 [size =\"36142080\"]\n  8 -> 14 [size =\"36142080\"]\n  8 -> 19 [size =\"36142080\"]\n  8 -> 20 [size =\"36142080\"]\n  8 -> 21 [size =\"36142080\"]\n  8 -> 22 [size =\"36142080\"]\n  8 -> 23 [size =\"36142080\"]\n  9 [size=\"21128533\", alpha=\"0.13\", expect_size=\"6338560\"] \n  9 -> 13 [size =\"6338560\"]\n  9 -> 14 [size =\"6338560\"]\n  9 -> 15 [size =\"6338560\"]\n  9 -> 17 [size =\"6338560\"]\n  9 -> 19 [size =\"6338560\"]\n  9 -> 20 [size =\"6338560\"]\n  9 -> 23 [size =\"6338560\"]\n  9 -> 25 [size =\"6338560\"]\n  10 [size=\"30842880\", alpha=\"0.10\", expect_size=\"9252864\"] \n  10 -> 14 [size =\"9252864\"]\n  10 -> 15 [size =\"9252864\"]\n  10 -> 16 [size =\"9252864\"]\n  10 -> 17 [size =\"9252864\"]\n  10 -> 20 [size =\"9252864\"]\n  10 -> 20 [size =\"9252864\"]\n  10 -> 21 [size =\"9252864\"]\n  10 -> 23 [size =\"9252864\"]\n  10 -> 24 [size =\"9252864\"]\n  10 -> 25 [size =\"9252864\"]\n  11 [size=\"156218027\", alpha=\"0.01\", expect_size=\"46865408\"] \n  11 -> 12 [size =\"46865408\"]\n  11 -> 13 [size =\"46865408\"]\n  11 -> 15 [size =\"46865408\"]\n  11 -> 16 [size =\"46865408\"]\n  11 -> 17 [size =\"46865408\"]\n  11 -> 18 [size =\"46865408\"]\n  11 -> 19 [size =\"46865408\"]\n  11 -> 25 [size =\"46865408\"]\n  12 [size=\"73584640\", alpha=\"0.12\", expect_size=\"22075392\"] \n  12 -> 30 [size =\"22075392\"]\n  12 -> 32 [size =\"22075392\"]\n  13 [size=\"167236267\", alpha=\"0.03\", expect_size=\"50170880\"] \n  13 -> 30 [size =\"50170880\"]\n  13 -> 32 [size =\"50170880\"]\n  13 -> 34 [size =\"50170880\"]\n  13 -> 37 [size =\"50170880\"]\n  13 -> 38 [size =\"50170880\"]\n  14 [size=\"123122347\", alpha=\"0.09\", expect_size=\"36936704\"] \n  14 -> 26 [size =\"36936704\"]\n  14 -> 28 [size =\"36936704\"]\n  14 -> 30 [size =\"36936704\"]\n  14 -> 33 [size =\"36936704\"]\n  14 -> 35 [size =\"36936704\"]\n  14 -> 37 [size =\"36936704\"]\n  14 -> 38 [size =\"36936704\"]\n  15 [size=\"133614933\", alpha=\"0.16\", expect_size=\"40084480\"] \n  15 -> 28 [size =\"40084480\"]\n  15 -> 33 [size =\"40084480\"]\n  15 -> 36 [size =\"40084480\"]\n  15 -> 38 [size =\"40084480\"]\n  16 [size=\"165270187\", alpha=\"0.01\", expect_size=\"49581056\"] \n  16 -> 26 [size =\"49581056\"]\n  16 -> 33 [size =\"49581056\"]\n  16 -> 37 [size =\"49581056\"]\n  16 -> 38 [size =\"49581056\"]\n  17 [size=\"163607893\", alpha=\"0.11\", expect_size=\"49082368\"] \n  17 -> 26 [size =\"49082368\"]\n  17 -> 30 [size =\"49082368\"]\n  17 -> 31 [size =\"49082368\"]\n  17 -> 35 [size =\"49082368\"]\n  17 -> 37 [size =\"49082368\"]\n  17 -> 38 [size =\"49082368\"]\n  18 [size=\"135082667\", alpha=\"0.17\", expect_size=\"40524800\"] \n  18 -> 26 [size =\"40524800\"]\n  18 -> 29 [size =\"40524800\"]\n  18 -> 30 [size =\"40524800\"]\n  18 -> 32 [size =\"40524800\"]\n  18 -> 33 [size =\"40524800\"]\n  18 -> 36 [size =\"40524800\"]\n  18 -> 37 [size =\"40524800\"]\n  19 [size=\"97324373\", alpha=\"0.04\", expect_size=\"29197312\"] \n  19 -> 26 [size =\"29197312\"]\n  19 -> 35 [size =\"29197312\"]\n  19 -> 36 [size =\"29197312\"]\n  19 -> 37 [size =\"29197312\"]\n  19 -> 38 [size =\"29197312\"]\n  20 [size=\"44247040\", alpha=\"0.10\", expect_size=\"13274112\"] \n  20 -> 27 [size =\"13274112\"]\n  20 -> 33 [size =\"13274112\"]\n  20 -> 35 [size =\"13274112\"]\n  20 -> 38 [size =\"13274112\"]\n  21 [size=\"122395307\", alpha=\"0.09\", expect_size=\"36718592\"] \n  21 -> 27 [size =\"36718592\"]\n  21 -> 28 [size =\"36718592\"]\n  21 -> 32 [size =\"36718592\"]\n  21 -> 34 [size =\"36718592\"]\n  21 -> 38 [size =\"36718592\"]\n  22 [size=\"127068160\", alpha=\"0.09\", expect_size=\"38120448\"] \n  22 -> 26 [size =\"38120448\"]\n  22 -> 27 [size =\"38120448\"]\n  22 -> 28 [size =\"38120448\"]\n  22 -> 33 [size =\"38120448\"]\n  23 [size=\"66030933\", alpha=\"0.07\", expect_size=\"19809280\"] \n  23 -> 26 [size =\"19809280\"]\n  23 -> 30 [size =\"19809280\"]\n  23 -> 32 [size =\"19809280\"]\n  24 [size=\"92549120\", alpha=\"0.13\", expect_size=\"27764736\"] \n  24 -> 32 [size =\"27764736\"]\n  24 -> 33 [size =\"27764736\"]\n  24 -> 37 [size =\"27764736\"]\n  24 -> 38 [size =\"27764736\"]\n  25 [size=\"162044587\", alpha=\"0.10\", expect_size=\"48613376\"] \n  25 -> 27 [size =\"48613376\"]\n  25 -> 28 [size =\"48613376\"]\n  25 -> 30 [size =\"48613376\"]\n  25 -> 32 [size =\"48613376\"]\n  25 -> 37 [size =\"48613376\"]\n  26 [size=\"132543147\", alpha=\"0.09\", expect_size=\"39762944\"] \n  26 -> 39 [size =\"39762944\"]\n  27 [size=\"137745067\", alpha=\"0.02\", expect_size=\"41323520\"] \n  27 -> 39 [size =\"41323520\"]\n  28 [size=\"69379413\", alpha=\"0.08\", expect_size=\"20813824\"] \n  28 -> 40 [size =\"20813824\"]\n  29 [size=\"46124373\", alpha=\"0.14\", expect_size=\"13837312\"] \n  29 -> 39 [size =\"13837312\"]\n  30 [size=\"76916053\", alpha=\"0.03\", expect_size=\"23074816\"] \n  30 -> 39 [size =\"23074816\"]\n  31 [size=\"154692267\", alpha=\"0.08\", expect_size=\"46407680\"] \n  31 -> 39 [size =\"46407680\"]\n  32 [size=\"65460907\", alpha=\"0.01\", expect_size=\"19638272\"] \n  33 [size=\"139294720\", alpha=\"0.14\", expect_size=\"41788416\"] \n  34 [size=\"39867733\", alpha=\"0.19\", expect_size=\"11960320\"] \n  35 [size=\"145827840\", alpha=\"0.19\", expect_size=\"43748352\"] \n  35 -> 40 [size =\"43748352\"]\n  36 [size=\"70833493\", alpha=\"0.18\", expect_size=\"21250048\"] \n  37 [size=\"140895573\", alpha=\"0.16\", expect_size=\"42268672\"] \n  38 [size=\"155531947\", alpha=\"0.08\", expect_size=\"46659584\"] \n  38 -> 40 [size =\"46659584\"]\n  39 [size=\"60456960\", alpha=\"0.11\", expect_size=\"18137088\"] \n  40 [size=\"173888853\", alpha=\"0.17\", expect_size=\"52166656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24422400\", alpha=\"0.17\", expect_size=\"9768960\"] \n  1 -> 5 [size =\"9768960\"]\n  1 -> 6 [size =\"9768960\"]\n  2 [size=\"25827840\", alpha=\"0.06\", expect_size=\"10331136\"] \n  2 -> 4 [size =\"10331136\"]\n  2 -> 5 [size =\"10331136\"]\n  3 [size=\"47293440\", alpha=\"0.14\", expect_size=\"18917376\"] \n  3 -> 5 [size =\"18917376\"]\n  4 [size=\"91581440\", alpha=\"0.20\", expect_size=\"36632576\"] \n  4 -> 7 [size =\"36632576\"]\n  4 -> 8 [size =\"36632576\"]\n  5 [size=\"120650240\", alpha=\"0.15\", expect_size=\"48260096\"] \n  5 -> 7 [size =\"48260096\"]\n  5 -> 8 [size =\"48260096\"]\n  6 [size=\"54924800\", alpha=\"0.06\", expect_size=\"21969920\"] \n  6 -> 7 [size =\"21969920\"]\n  7 [size=\"111347200\", alpha=\"0.19\", expect_size=\"44538880\"] \n  7 -> 9 [size =\"44538880\"]\n  7 -> 10 [size =\"44538880\"]\n  8 [size=\"75691520\", alpha=\"0.17\", expect_size=\"30276608\"] \n  8 -> 9 [size =\"30276608\"]\n  8 -> 10 [size =\"30276608\"]\n  9 [size=\"121205760\", alpha=\"0.17\", expect_size=\"48482304\"] \n  9 -> 12 [size =\"48482304\"]\n  9 -> 13 [size =\"48482304\"]\n  10 [size=\"34247680\", alpha=\"0.06\", expect_size=\"13699072\"] \n  10 -> 11 [size =\"13699072\"]\n  10 -> 12 [size =\"13699072\"]\n  10 -> 13 [size =\"13699072\"]\n  11 [size=\"82219520\", alpha=\"0.14\", expect_size=\"32887808\"] \n  12 [size=\"67389440\", alpha=\"0.07\", expect_size=\"26955776\"] \n  12 -> 14 [size =\"26955776\"]\n  12 -> 15 [size =\"26955776\"]\n  13 [size=\"101022720\", alpha=\"0.19\", expect_size=\"40409088\"] \n  13 -> 15 [size =\"40409088\"]\n  14 [size=\"67857920\", alpha=\"0.14\", expect_size=\"27143168\"] \n  14 -> 16 [size =\"27143168\"]\n  14 -> 17 [size =\"27143168\"]\n  15 [size=\"66222080\", alpha=\"0.04\", expect_size=\"26488832\"] \n  15 -> 16 [size =\"26488832\"]\n  15 -> 17 [size =\"26488832\"]\n  16 [size=\"39096320\", alpha=\"0.03\", expect_size=\"15638528\"] \n  16 -> 18 [size =\"15638528\"]\n  16 -> 19 [size =\"15638528\"]\n  16 -> 20 [size =\"15638528\"]\n  17 [size=\"72225280\", alpha=\"0.05\", expect_size=\"28890112\"] \n  17 -> 18 [size =\"28890112\"]\n  17 -> 19 [size =\"28890112\"]\n  17 -> 20 [size =\"28890112\"]\n  18 [size=\"69066240\", alpha=\"0.14\", expect_size=\"27626496\"] \n  18 -> 21 [size =\"27626496\"]\n  18 -> 22 [size =\"27626496\"]\n  19 [size=\"52364800\", alpha=\"0.03\", expect_size=\"20945920\"] \n  19 -> 21 [size =\"20945920\"]\n  19 -> 22 [size =\"20945920\"]\n  20 [size=\"37596160\", alpha=\"0.01\", expect_size=\"15038464\"] \n  20 -> 21 [size =\"15038464\"]\n  20 -> 22 [size =\"15038464\"]\n  20 -> 23 [size =\"15038464\"]\n  21 [size=\"71595520\", alpha=\"0.02\", expect_size=\"28638208\"] \n  21 -> 24 [size =\"28638208\"]\n  21 -> 25 [size =\"28638208\"]\n  22 [size=\"35315200\", alpha=\"0.05\", expect_size=\"14126080\"] \n  23 [size=\"74577920\", alpha=\"0.13\", expect_size=\"29831168\"] \n  23 -> 24 [size =\"29831168\"]\n  23 -> 25 [size =\"29831168\"]\n  24 [size=\"69573120\", alpha=\"0.15\", expect_size=\"27829248\"] \n  24 -> 26 [size =\"27829248\"]\n  24 -> 27 [size =\"27829248\"]\n  24 -> 28 [size =\"27829248\"]\n  24 -> 29 [size =\"27829248\"]\n  25 [size=\"31754240\", alpha=\"0.15\", expect_size=\"12701696\"] \n  25 -> 26 [size =\"12701696\"]\n  25 -> 27 [size =\"12701696\"]\n  25 -> 28 [size =\"12701696\"]\n  25 -> 29 [size =\"12701696\"]\n  26 [size=\"53273600\", alpha=\"0.02\", expect_size=\"21309440\"] \n  26 -> 31 [size =\"21309440\"]\n  27 [size=\"68139520\", alpha=\"0.06\", expect_size=\"27255808\"] \n  27 -> 30 [size =\"27255808\"]\n  27 -> 31 [size =\"27255808\"]\n  28 [size=\"100011520\", alpha=\"0.01\", expect_size=\"40004608\"] \n  28 -> 31 [size =\"40004608\"]\n  29 [size=\"62707200\", alpha=\"0.13\", expect_size=\"25082880\"] \n  29 -> 31 [size =\"25082880\"]\n  30 [size=\"77468160\", alpha=\"0.10\", expect_size=\"30987264\"] \n  30 -> 32 [size =\"30987264\"]\n  31 [size=\"84464640\", alpha=\"0.18\", expect_size=\"33785856\"] \n  31 -> 32 [size =\"33785856\"]\n  32 [size=\"95011840\", alpha=\"0.15\", expect_size=\"38004736\"] \n  32 -> 33 [size =\"38004736\"]\n  33 [size=\"121830400\", alpha=\"0.07\", expect_size=\"48732160\"] \n  33 -> 34 [size =\"48732160\"]\n  33 -> 35 [size =\"48732160\"]\n  34 [size=\"81141760\", alpha=\"0.09\", expect_size=\"32456704\"] \n  34 -> 36 [size =\"32456704\"]\n  34 -> 37 [size =\"32456704\"]\n  35 [size=\"51425280\", alpha=\"0.19\", expect_size=\"20570112\"] \n  35 -> 37 [size =\"20570112\"]\n  36 [size=\"22259200\", alpha=\"0.14\", expect_size=\"8903680\"] \n  36 -> 38 [size =\"8903680\"]\n  36 -> 39 [size =\"8903680\"]\n  37 [size=\"35458560\", alpha=\"0.19\", expect_size=\"14183424\"] \n  37 -> 38 [size =\"14183424\"]\n  37 -> 39 [size =\"14183424\"]\n  38 [size=\"71306240\", alpha=\"0.13\", expect_size=\"28522496\"] \n  38 -> 40 [size =\"28522496\"]\n  39 [size=\"74419200\", alpha=\"0.14\", expect_size=\"29767680\"] \n  40 [size=\"34936320\", alpha=\"0.20\", expect_size=\"13974528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139728213\", alpha=\"0.20\", expect_size=\"41918464\"] \n  1 -> 3 [size =\"41918464\"]\n  2 [size=\"53497173\", alpha=\"0.14\", expect_size=\"16049152\"] \n  2 -> 4 [size =\"16049152\"]\n  2 -> 5 [size =\"16049152\"]\n  3 [size=\"24978773\", alpha=\"0.15\", expect_size=\"7493632\"] \n  3 -> 6 [size =\"7493632\"]\n  3 -> 7 [size =\"7493632\"]\n  4 [size=\"109612373\", alpha=\"0.11\", expect_size=\"32883712\"] \n  4 -> 6 [size =\"32883712\"]\n  4 -> 8 [size =\"32883712\"]\n  5 [size=\"81988267\", alpha=\"0.13\", expect_size=\"24596480\"] \n  5 -> 8 [size =\"24596480\"]\n  6 [size=\"160460800\", alpha=\"0.04\", expect_size=\"48138240\"] \n  6 -> 9 [size =\"48138240\"]\n  6 -> 10 [size =\"48138240\"]\n  6 -> 11 [size =\"48138240\"]\n  7 [size=\"94692693\", alpha=\"0.12\", expect_size=\"28407808\"] \n  7 -> 9 [size =\"28407808\"]\n  8 [size=\"82711893\", alpha=\"0.08\", expect_size=\"24813568\"] \n  8 -> 11 [size =\"24813568\"]\n  9 [size=\"151944533\", alpha=\"0.03\", expect_size=\"45583360\"] \n  10 [size=\"125504853\", alpha=\"0.17\", expect_size=\"37651456\"] \n  10 -> 12 [size =\"37651456\"]\n  10 -> 13 [size =\"37651456\"]\n  11 [size=\"111926613\", alpha=\"0.16\", expect_size=\"33577984\"] \n  11 -> 13 [size =\"33577984\"]\n  12 [size=\"109428053\", alpha=\"0.16\", expect_size=\"32828416\"] \n  12 -> 14 [size =\"32828416\"]\n  13 [size=\"65092267\", alpha=\"0.07\", expect_size=\"19527680\"] \n  13 -> 15 [size =\"19527680\"]\n  14 [size=\"25890133\", alpha=\"0.20\", expect_size=\"7767040\"] \n  14 -> 16 [size =\"7767040\"]\n  14 -> 17 [size =\"7767040\"]\n  14 -> 18 [size =\"7767040\"]\n  15 [size=\"113633280\", alpha=\"0.02\", expect_size=\"34089984\"] \n  16 [size=\"57797973\", alpha=\"0.16\", expect_size=\"17339392\"] \n  16 -> 19 [size =\"17339392\"]\n  16 -> 20 [size =\"17339392\"]\n  17 [size=\"88087893\", alpha=\"0.18\", expect_size=\"26426368\"] \n  18 [size=\"27019947\", alpha=\"0.06\", expect_size=\"8105984\"] \n  18 -> 19 [size =\"8105984\"]\n  18 -> 20 [size =\"8105984\"]\n  19 [size=\"92992853\", alpha=\"0.02\", expect_size=\"27897856\"] \n  19 -> 21 [size =\"27897856\"]\n  19 -> 22 [size =\"27897856\"]\n  20 [size=\"113087147\", alpha=\"0.10\", expect_size=\"33926144\"] \n  20 -> 23 [size =\"33926144\"]\n  21 [size=\"92975787\", alpha=\"0.13\", expect_size=\"27892736\"] \n  21 -> 24 [size =\"27892736\"]\n  22 [size=\"62361600\", alpha=\"0.01\", expect_size=\"18708480\"] \n  22 -> 25 [size =\"18708480\"]\n  23 [size=\"34355200\", alpha=\"0.11\", expect_size=\"10306560\"] \n  23 -> 25 [size =\"10306560\"]\n  24 [size=\"88855893\", alpha=\"0.12\", expect_size=\"26656768\"] \n  24 -> 27 [size =\"26656768\"]\n  25 [size=\"85968213\", alpha=\"0.01\", expect_size=\"25790464\"] \n  25 -> 26 [size =\"25790464\"]\n  26 [size=\"100403200\", alpha=\"0.08\", expect_size=\"30120960\"] \n  26 -> 30 [size =\"30120960\"]\n  27 [size=\"70775467\", alpha=\"0.05\", expect_size=\"21232640\"] \n  27 -> 28 [size =\"21232640\"]\n  27 -> 29 [size =\"21232640\"]\n  28 [size=\"56623787\", alpha=\"0.10\", expect_size=\"16987136\"] \n  28 -> 31 [size =\"16987136\"]\n  28 -> 33 [size =\"16987136\"]\n  29 [size=\"102338560\", alpha=\"0.13\", expect_size=\"30701568\"] \n  30 [size=\"114203307\", alpha=\"0.09\", expect_size=\"34260992\"] \n  30 -> 32 [size =\"34260992\"]\n  31 [size=\"32481280\", alpha=\"0.17\", expect_size=\"9744384\"] \n  31 -> 34 [size =\"9744384\"]\n  31 -> 36 [size =\"9744384\"]\n  32 [size=\"136710827\", alpha=\"0.17\", expect_size=\"41013248\"] \n  32 -> 35 [size =\"41013248\"]\n  33 [size=\"148346880\", alpha=\"0.03\", expect_size=\"44504064\"] \n  33 -> 34 [size =\"44504064\"]\n  33 -> 35 [size =\"44504064\"]\n  34 [size=\"74888533\", alpha=\"0.10\", expect_size=\"22466560\"] \n  34 -> 38 [size =\"22466560\"]\n  34 -> 39 [size =\"22466560\"]\n  35 [size=\"165765120\", alpha=\"0.10\", expect_size=\"49729536\"] \n  35 -> 37 [size =\"49729536\"]\n  35 -> 38 [size =\"49729536\"]\n  35 -> 39 [size =\"49729536\"]\n  36 [size=\"170912427\", alpha=\"0.14\", expect_size=\"51273728\"] \n  37 [size=\"76035413\", alpha=\"0.07\", expect_size=\"22810624\"] \n  38 [size=\"115630080\", alpha=\"0.02\", expect_size=\"34689024\"] \n  38 -> 40 [size =\"34689024\"]\n  39 [size=\"40366080\", alpha=\"0.06\", expect_size=\"12109824\"] \n  39 -> 40 [size =\"12109824\"]\n  40 [size=\"142001493\", alpha=\"0.03\", expect_size=\"42600448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82124800\", alpha=\"0.08\", expect_size=\"24637440\"] \n  1 -> 8 [size =\"24637440\"]\n  1 -> 10 [size =\"24637440\"]\n  2 [size=\"21125120\", alpha=\"0.04\", expect_size=\"6337536\"] \n  2 -> 8 [size =\"6337536\"]\n  2 -> 9 [size =\"6337536\"]\n  2 -> 11 [size =\"6337536\"]\n  3 [size=\"130286933\", alpha=\"0.13\", expect_size=\"39086080\"] \n  3 -> 7 [size =\"39086080\"]\n  4 [size=\"88190293\", alpha=\"0.11\", expect_size=\"26457088\"] \n  4 -> 9 [size =\"26457088\"]\n  4 -> 11 [size =\"26457088\"]\n  5 [size=\"119258453\", alpha=\"0.09\", expect_size=\"35777536\"] \n  5 -> 9 [size =\"35777536\"]\n  5 -> 10 [size =\"35777536\"]\n  6 [size=\"135454720\", alpha=\"0.00\", expect_size=\"40636416\"] \n  6 -> 7 [size =\"40636416\"]\n  6 -> 10 [size =\"40636416\"]\n  6 -> 11 [size =\"40636416\"]\n  7 [size=\"22981973\", alpha=\"0.11\", expect_size=\"6894592\"] \n  7 -> 16 [size =\"6894592\"]\n  7 -> 17 [size =\"6894592\"]\n  8 [size=\"129873920\", alpha=\"0.06\", expect_size=\"38962176\"] \n  8 -> 15 [size =\"38962176\"]\n  9 [size=\"40461653\", alpha=\"0.20\", expect_size=\"12138496\"] \n  9 -> 13 [size =\"12138496\"]\n  9 -> 14 [size =\"12138496\"]\n  10 [size=\"78428160\", alpha=\"0.03\", expect_size=\"23528448\"] \n  10 -> 12 [size =\"23528448\"]\n  10 -> 13 [size =\"23528448\"]\n  10 -> 14 [size =\"23528448\"]\n  10 -> 16 [size =\"23528448\"]\n  10 -> 17 [size =\"23528448\"]\n  11 [size=\"135994027\", alpha=\"0.05\", expect_size=\"40798208\"] \n  11 -> 15 [size =\"40798208\"]\n  11 -> 16 [size =\"40798208\"]\n  12 [size=\"44042240\", alpha=\"0.17\", expect_size=\"13212672\"] \n  12 -> 18 [size =\"13212672\"]\n  13 [size=\"77769387\", alpha=\"0.14\", expect_size=\"23330816\"] \n  13 -> 20 [size =\"23330816\"]\n  13 -> 21 [size =\"23330816\"]\n  14 [size=\"19438933\", alpha=\"0.01\", expect_size=\"5831680\"] \n  14 -> 19 [size =\"5831680\"]\n  14 -> 20 [size =\"5831680\"]\n  14 -> 21 [size =\"5831680\"]\n  14 -> 22 [size =\"5831680\"]\n  15 [size=\"104202240\", alpha=\"0.17\", expect_size=\"31260672\"] \n  15 -> 19 [size =\"31260672\"]\n  15 -> 20 [size =\"31260672\"]\n  16 [size=\"172868267\", alpha=\"0.01\", expect_size=\"51860480\"] \n  16 -> 21 [size =\"51860480\"]\n  16 -> 23 [size =\"51860480\"]\n  17 [size=\"19350187\", alpha=\"0.19\", expect_size=\"5805056\"] \n  18 [size=\"109056000\", alpha=\"0.06\", expect_size=\"32716800\"] \n  18 -> 24 [size =\"32716800\"]\n  19 [size=\"153183573\", alpha=\"0.06\", expect_size=\"45955072\"] \n  19 -> 26 [size =\"45955072\"]\n  20 [size=\"152565760\", alpha=\"0.03\", expect_size=\"45769728\"] \n  20 -> 25 [size =\"45769728\"]\n  20 -> 27 [size =\"45769728\"]\n  21 [size=\"173646507\", alpha=\"0.08\", expect_size=\"52093952\"] \n  21 -> 24 [size =\"52093952\"]\n  21 -> 26 [size =\"52093952\"]\n  22 [size=\"53176320\", alpha=\"0.13\", expect_size=\"15952896\"] \n  22 -> 28 [size =\"15952896\"]\n  23 [size=\"30720000\", alpha=\"0.13\", expect_size=\"9216000\"] \n  24 [size=\"137147733\", alpha=\"0.02\", expect_size=\"41144320\"] \n  24 -> 33 [size =\"41144320\"]\n  25 [size=\"142052693\", alpha=\"0.04\", expect_size=\"42615808\"] \n  25 -> 29 [size =\"42615808\"]\n  25 -> 31 [size =\"42615808\"]\n  25 -> 32 [size =\"42615808\"]\n  26 [size=\"116701867\", alpha=\"0.01\", expect_size=\"35010560\"] \n  26 -> 29 [size =\"35010560\"]\n  26 -> 30 [size =\"35010560\"]\n  26 -> 33 [size =\"35010560\"]\n  27 [size=\"120849067\", alpha=\"0.19\", expect_size=\"36254720\"] \n  27 -> 30 [size =\"36254720\"]\n  27 -> 31 [size =\"36254720\"]\n  27 -> 34 [size =\"36254720\"]\n  28 [size=\"112790187\", alpha=\"0.11\", expect_size=\"33837056\"] \n  28 -> 29 [size =\"33837056\"]\n  28 -> 33 [size =\"33837056\"]\n  29 [size=\"159122773\", alpha=\"0.06\", expect_size=\"47736832\"] \n  30 [size=\"47073280\", alpha=\"0.08\", expect_size=\"14121984\"] \n  30 -> 37 [size =\"14121984\"]\n  30 -> 39 [size =\"14121984\"]\n  31 [size=\"68297387\", alpha=\"0.06\", expect_size=\"20489216\"] \n  31 -> 37 [size =\"20489216\"]\n  32 [size=\"130157227\", alpha=\"0.07\", expect_size=\"39047168\"] \n  32 -> 35 [size =\"39047168\"]\n  32 -> 37 [size =\"39047168\"]\n  32 -> 38 [size =\"39047168\"]\n  33 [size=\"79018667\", alpha=\"0.16\", expect_size=\"23705600\"] \n  33 -> 36 [size =\"23705600\"]\n  33 -> 38 [size =\"23705600\"]\n  33 -> 39 [size =\"23705600\"]\n  34 [size=\"27692373\", alpha=\"0.05\", expect_size=\"8307712\"] \n  35 [size=\"46892373\", alpha=\"0.04\", expect_size=\"14067712\"] \n  35 -> 40 [size =\"14067712\"]\n  36 [size=\"81121280\", alpha=\"0.04\", expect_size=\"24336384\"] \n  37 [size=\"91067733\", alpha=\"0.04\", expect_size=\"27320320\"] \n  38 [size=\"82244267\", alpha=\"0.16\", expect_size=\"24673280\"] \n  38 -> 40 [size =\"24673280\"]\n  39 [size=\"167048533\", alpha=\"0.05\", expect_size=\"50114560\"] \n  40 [size=\"53896533\", alpha=\"0.11\", expect_size=\"16168960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97776640\", alpha=\"0.01\", expect_size=\"39110656\"] \n  1 -> 2 [size =\"39110656\"]\n  2 [size=\"90211840\", alpha=\"0.05\", expect_size=\"36084736\"] \n  2 -> 3 [size =\"36084736\"]\n  3 [size=\"119779840\", alpha=\"0.15\", expect_size=\"47911936\"] \n  3 -> 4 [size =\"47911936\"]\n  4 [size=\"31936000\", alpha=\"0.11\", expect_size=\"12774400\"] \n  4 -> 5 [size =\"12774400\"]\n  5 [size=\"24051200\", alpha=\"0.01\", expect_size=\"9620480\"] \n  5 -> 6 [size =\"9620480\"]\n  6 [size=\"102740480\", alpha=\"0.01\", expect_size=\"41096192\"] \n  6 -> 7 [size =\"41096192\"]\n  7 [size=\"24581120\", alpha=\"0.08\", expect_size=\"9832448\"] \n  7 -> 8 [size =\"9832448\"]\n  8 [size=\"96102400\", alpha=\"0.11\", expect_size=\"38440960\"] \n  8 -> 9 [size =\"38440960\"]\n  9 [size=\"80043520\", alpha=\"0.05\", expect_size=\"32017408\"] \n  9 -> 10 [size =\"32017408\"]\n  10 [size=\"40616960\", alpha=\"0.19\", expect_size=\"16246784\"] \n  10 -> 11 [size =\"16246784\"]\n  11 [size=\"122577920\", alpha=\"0.02\", expect_size=\"49031168\"] \n  11 -> 12 [size =\"49031168\"]\n  12 [size=\"128486400\", alpha=\"0.12\", expect_size=\"51394560\"] \n  12 -> 13 [size =\"51394560\"]\n  13 [size=\"41223680\", alpha=\"0.11\", expect_size=\"16489472\"] \n  13 -> 14 [size =\"16489472\"]\n  14 [size=\"129687040\", alpha=\"0.08\", expect_size=\"51874816\"] \n  14 -> 15 [size =\"51874816\"]\n  15 [size=\"77237760\", alpha=\"0.03\", expect_size=\"30895104\"] \n  15 -> 16 [size =\"30895104\"]\n  16 [size=\"84764160\", alpha=\"0.07\", expect_size=\"33905664\"] \n  16 -> 17 [size =\"33905664\"]\n  17 [size=\"89182720\", alpha=\"0.17\", expect_size=\"35673088\"] \n  17 -> 18 [size =\"35673088\"]\n  18 [size=\"18688000\", alpha=\"0.01\", expect_size=\"7475200\"] \n  18 -> 19 [size =\"7475200\"]\n  19 [size=\"81136640\", alpha=\"0.16\", expect_size=\"32454656\"] \n  19 -> 20 [size =\"32454656\"]\n  20 [size=\"113098240\", alpha=\"0.01\", expect_size=\"45239296\"] \n  20 -> 21 [size =\"45239296\"]\n  21 [size=\"110133760\", alpha=\"0.19\", expect_size=\"44053504\"] \n  21 -> 22 [size =\"44053504\"]\n  22 [size=\"124369920\", alpha=\"0.11\", expect_size=\"49747968\"] \n  22 -> 23 [size =\"49747968\"]\n  23 [size=\"76436480\", alpha=\"0.01\", expect_size=\"30574592\"] \n  23 -> 24 [size =\"30574592\"]\n  24 [size=\"25728000\", alpha=\"0.14\", expect_size=\"10291200\"] \n  24 -> 25 [size =\"10291200\"]\n  25 [size=\"75596800\", alpha=\"0.09\", expect_size=\"30238720\"] \n  25 -> 26 [size =\"30238720\"]\n  26 [size=\"91397120\", alpha=\"0.19\", expect_size=\"36558848\"] \n  26 -> 27 [size =\"36558848\"]\n  27 [size=\"14428160\", alpha=\"0.11\", expect_size=\"5771264\"] \n  27 -> 28 [size =\"5771264\"]\n  28 [size=\"113579520\", alpha=\"0.17\", expect_size=\"45431808\"] \n  28 -> 29 [size =\"45431808\"]\n  29 [size=\"118860800\", alpha=\"0.15\", expect_size=\"47544320\"] \n  29 -> 30 [size =\"47544320\"]\n  30 [size=\"97856000\", alpha=\"0.17\", expect_size=\"39142400\"] \n  30 -> 31 [size =\"39142400\"]\n  31 [size=\"102466560\", alpha=\"0.18\", expect_size=\"40986624\"] \n  31 -> 32 [size =\"40986624\"]\n  32 [size=\"99399680\", alpha=\"0.18\", expect_size=\"39759872\"] \n  32 -> 33 [size =\"39759872\"]\n  33 [size=\"47790080\", alpha=\"0.03\", expect_size=\"19116032\"] \n  33 -> 34 [size =\"19116032\"]\n  34 [size=\"54315520\", alpha=\"0.08\", expect_size=\"21726208\"] \n  34 -> 35 [size =\"21726208\"]\n  35 [size=\"19840000\", alpha=\"0.03\", expect_size=\"7936000\"] \n  35 -> 36 [size =\"7936000\"]\n  36 [size=\"73272320\", alpha=\"0.11\", expect_size=\"29308928\"] \n  36 -> 37 [size =\"29308928\"]\n  37 [size=\"68318720\", alpha=\"0.12\", expect_size=\"27327488\"] \n  37 -> 38 [size =\"27327488\"]\n  38 [size=\"16455680\", alpha=\"0.14\", expect_size=\"6582272\"] \n  38 -> 39 [size =\"6582272\"]\n  39 [size=\"118643200\", alpha=\"0.07\", expect_size=\"47457280\"] \n  39 -> 40 [size =\"47457280\"]\n  40 [size=\"87925760\", alpha=\"0.17\", expect_size=\"35170304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78506667\", alpha=\"0.13\", expect_size=\"23552000\"] \n  1 -> 37 [size =\"23552000\"]\n  2 [size=\"53131947\", alpha=\"0.05\", expect_size=\"15939584\"] \n  2 -> 37 [size =\"15939584\"]\n  2 -> 38 [size =\"15939584\"]\n  2 -> 39 [size =\"15939584\"]\n  2 -> 40 [size =\"15939584\"]\n  3 [size=\"102792533\", alpha=\"0.18\", expect_size=\"30837760\"] \n  3 -> 32 [size =\"30837760\"]\n  3 -> 34 [size =\"30837760\"]\n  3 -> 38 [size =\"30837760\"]\n  3 -> 39 [size =\"30837760\"]\n  4 [size=\"25968640\", alpha=\"0.07\", expect_size=\"7790592\"] \n  4 -> 32 [size =\"7790592\"]\n  4 -> 37 [size =\"7790592\"]\n  4 -> 38 [size =\"7790592\"]\n  4 -> 39 [size =\"7790592\"]\n  5 [size=\"85145600\", alpha=\"0.11\", expect_size=\"25543680\"] \n  5 -> 35 [size =\"25543680\"]\n  5 -> 36 [size =\"25543680\"]\n  5 -> 38 [size =\"25543680\"]\n  5 -> 40 [size =\"25543680\"]\n  6 [size=\"35560107\", alpha=\"0.12\", expect_size=\"10668032\"] \n  6 -> 32 [size =\"10668032\"]\n  6 -> 34 [size =\"10668032\"]\n  6 -> 35 [size =\"10668032\"]\n  6 -> 37 [size =\"10668032\"]\n  6 -> 38 [size =\"10668032\"]\n  7 [size=\"19077120\", alpha=\"0.02\", expect_size=\"5723136\"] \n  7 -> 35 [size =\"5723136\"]\n  7 -> 37 [size =\"5723136\"]\n  7 -> 40 [size =\"5723136\"]\n  8 [size=\"132044800\", alpha=\"0.06\", expect_size=\"39613440\"] \n  8 -> 37 [size =\"39613440\"]\n  9 [size=\"29057707\", alpha=\"0.08\", expect_size=\"8717312\"] \n  9 -> 35 [size =\"8717312\"]\n  9 -> 40 [size =\"8717312\"]\n  10 [size=\"38406827\", alpha=\"0.01\", expect_size=\"11522048\"] \n  10 -> 38 [size =\"11522048\"]\n  11 [size=\"171158187\", alpha=\"0.02\", expect_size=\"51347456\"] \n  11 -> 32 [size =\"51347456\"]\n  11 -> 36 [size =\"51347456\"]\n  11 -> 38 [size =\"51347456\"]\n  11 -> 39 [size =\"51347456\"]\n  11 -> 40 [size =\"51347456\"]\n  12 [size=\"112602453\", alpha=\"0.14\", expect_size=\"33780736\"] \n  12 -> 36 [size =\"33780736\"]\n  12 -> 38 [size =\"33780736\"]\n  13 [size=\"152668160\", alpha=\"0.11\", expect_size=\"45800448\"] \n  13 -> 35 [size =\"45800448\"]\n  13 -> 36 [size =\"45800448\"]\n  13 -> 39 [size =\"45800448\"]\n  14 [size=\"137007787\", alpha=\"0.06\", expect_size=\"41102336\"] \n  14 -> 37 [size =\"41102336\"]\n  15 [size=\"34218667\", alpha=\"0.11\", expect_size=\"10265600\"] \n  15 -> 33 [size =\"10265600\"]\n  15 -> 37 [size =\"10265600\"]\n  15 -> 39 [size =\"10265600\"]\n  16 [size=\"119971840\", alpha=\"0.04\", expect_size=\"35991552\"] \n  16 -> 33 [size =\"35991552\"]\n  16 -> 35 [size =\"35991552\"]\n  16 -> 37 [size =\"35991552\"]\n  16 -> 39 [size =\"35991552\"]\n  17 [size=\"54971733\", alpha=\"0.19\", expect_size=\"16491520\"] \n  17 -> 32 [size =\"16491520\"]\n  17 -> 37 [size =\"16491520\"]\n  17 -> 39 [size =\"16491520\"]\n  17 -> 39 [size =\"16491520\"]\n  18 [size=\"71335253\", alpha=\"0.08\", expect_size=\"21400576\"] \n  18 -> 32 [size =\"21400576\"]\n  18 -> 35 [size =\"21400576\"]\n  18 -> 37 [size =\"21400576\"]\n  18 -> 39 [size =\"21400576\"]\n  18 -> 40 [size =\"21400576\"]\n  19 [size=\"117149013\", alpha=\"0.17\", expect_size=\"35144704\"] \n  19 -> 35 [size =\"35144704\"]\n  19 -> 36 [size =\"35144704\"]\n  20 [size=\"26262187\", alpha=\"0.11\", expect_size=\"7878656\"] \n  20 -> 32 [size =\"7878656\"]\n  20 -> 39 [size =\"7878656\"]\n  21 [size=\"37857280\", alpha=\"0.14\", expect_size=\"11357184\"] \n  21 -> 32 [size =\"11357184\"]\n  21 -> 40 [size =\"11357184\"]\n  22 [size=\"52026027\", alpha=\"0.00\", expect_size=\"15607808\"] \n  22 -> 32 [size =\"15607808\"]\n  22 -> 39 [size =\"15607808\"]\n  22 -> 40 [size =\"15607808\"]\n  23 [size=\"164157440\", alpha=\"0.18\", expect_size=\"49247232\"] \n  23 -> 35 [size =\"49247232\"]\n  23 -> 37 [size =\"49247232\"]\n  23 -> 40 [size =\"49247232\"]\n  24 [size=\"96679253\", alpha=\"0.16\", expect_size=\"29003776\"] \n  24 -> 33 [size =\"29003776\"]\n  24 -> 35 [size =\"29003776\"]\n  24 -> 37 [size =\"29003776\"]\n  24 -> 40 [size =\"29003776\"]\n  25 [size=\"147121493\", alpha=\"0.04\", expect_size=\"44136448\"] \n  25 -> 35 [size =\"44136448\"]\n  25 -> 35 [size =\"44136448\"]\n  25 -> 36 [size =\"44136448\"]\n  25 -> 40 [size =\"44136448\"]\n  26 [size=\"75086507\", alpha=\"0.13\", expect_size=\"22525952\"] \n  26 -> 32 [size =\"22525952\"]\n  26 -> 35 [size =\"22525952\"]\n  26 -> 37 [size =\"22525952\"]\n  26 -> 39 [size =\"22525952\"]\n  27 [size=\"103031467\", alpha=\"0.03\", expect_size=\"30909440\"] \n  27 -> 32 [size =\"30909440\"]\n  27 -> 35 [size =\"30909440\"]\n  27 -> 36 [size =\"30909440\"]\n  27 -> 37 [size =\"30909440\"]\n  27 -> 38 [size =\"30909440\"]\n  27 -> 39 [size =\"30909440\"]\n  28 [size=\"98914987\", alpha=\"0.07\", expect_size=\"29674496\"] \n  28 -> 32 [size =\"29674496\"]\n  28 -> 34 [size =\"29674496\"]\n  28 -> 38 [size =\"29674496\"]\n  29 [size=\"165529600\", alpha=\"0.13\", expect_size=\"49658880\"] \n  29 -> 32 [size =\"49658880\"]\n  29 -> 35 [size =\"49658880\"]\n  29 -> 37 [size =\"49658880\"]\n  29 -> 38 [size =\"49658880\"]\n  30 [size=\"141523627\", alpha=\"0.02\", expect_size=\"42457088\"] \n  30 -> 32 [size =\"42457088\"]\n  30 -> 37 [size =\"42457088\"]\n  31 [size=\"73611947\", alpha=\"0.10\", expect_size=\"22083584\"] \n  31 -> 32 [size =\"22083584\"]\n  31 -> 35 [size =\"22083584\"]\n  31 -> 36 [size =\"22083584\"]\n  31 -> 37 [size =\"22083584\"]\n  31 -> 40 [size =\"22083584\"]\n  32 [size=\"22831787\", alpha=\"0.10\", expect_size=\"6849536\"] \n  33 [size=\"24835413\", alpha=\"0.07\", expect_size=\"7450624\"] \n  34 [size=\"164942507\", alpha=\"0.19\", expect_size=\"49482752\"] \n  35 [size=\"137069227\", alpha=\"0.14\", expect_size=\"41120768\"] \n  36 [size=\"166181547\", alpha=\"0.02\", expect_size=\"49854464\"] \n  37 [size=\"113073493\", alpha=\"0.14\", expect_size=\"33922048\"] \n  38 [size=\"136635733\", alpha=\"0.13\", expect_size=\"40990720\"] \n  39 [size=\"36860587\", alpha=\"0.05\", expect_size=\"11058176\"] \n  40 [size=\"139909120\", alpha=\"0.18\", expect_size=\"41972736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44380160\", alpha=\"0.20\", expect_size=\"22190080\"] \n  1 -> 26 [size =\"22190080\"]\n  1 -> 27 [size =\"22190080\"]\n  1 -> 29 [size =\"22190080\"]\n  1 -> 34 [size =\"22190080\"]\n  1 -> 34 [size =\"22190080\"]\n  1 -> 38 [size =\"22190080\"]\n  1 -> 39 [size =\"22190080\"]\n  1 -> 39 [size =\"22190080\"]\n  2 [size=\"80242688\", alpha=\"0.11\", expect_size=\"40121344\"] \n  2 -> 27 [size =\"40121344\"]\n  2 -> 27 [size =\"40121344\"]\n  2 -> 29 [size =\"40121344\"]\n  2 -> 32 [size =\"40121344\"]\n  2 -> 34 [size =\"40121344\"]\n  2 -> 37 [size =\"40121344\"]\n  2 -> 38 [size =\"40121344\"]\n  2 -> 39 [size =\"40121344\"]\n  3 [size=\"23220224\", alpha=\"0.09\", expect_size=\"11610112\"] \n  3 -> 27 [size =\"11610112\"]\n  3 -> 28 [size =\"11610112\"]\n  3 -> 29 [size =\"11610112\"]\n  3 -> 30 [size =\"11610112\"]\n  3 -> 31 [size =\"11610112\"]\n  3 -> 34 [size =\"11610112\"]\n  3 -> 38 [size =\"11610112\"]\n  3 -> 39 [size =\"11610112\"]\n  4 [size=\"74008576\", alpha=\"0.18\", expect_size=\"37004288\"] \n  4 -> 27 [size =\"37004288\"]\n  4 -> 29 [size =\"37004288\"]\n  4 -> 34 [size =\"37004288\"]\n  4 -> 36 [size =\"37004288\"]\n  5 [size=\"28076032\", alpha=\"0.17\", expect_size=\"14038016\"] \n  5 -> 26 [size =\"14038016\"]\n  5 -> 27 [size =\"14038016\"]\n  5 -> 29 [size =\"14038016\"]\n  5 -> 32 [size =\"14038016\"]\n  5 -> 34 [size =\"14038016\"]\n  5 -> 37 [size =\"14038016\"]\n  5 -> 39 [size =\"14038016\"]\n  6 [size=\"11419648\", alpha=\"0.04\", expect_size=\"5709824\"] \n  6 -> 26 [size =\"5709824\"]\n  6 -> 27 [size =\"5709824\"]\n  6 -> 30 [size =\"5709824\"]\n  6 -> 32 [size =\"5709824\"]\n  6 -> 33 [size =\"5709824\"]\n  6 -> 34 [size =\"5709824\"]\n  6 -> 35 [size =\"5709824\"]\n  6 -> 39 [size =\"5709824\"]\n  7 [size=\"99227648\", alpha=\"0.15\", expect_size=\"49613824\"] \n  7 -> 29 [size =\"49613824\"]\n  7 -> 30 [size =\"49613824\"]\n  7 -> 34 [size =\"49613824\"]\n  7 -> 38 [size =\"49613824\"]\n  7 -> 39 [size =\"49613824\"]\n  8 [size=\"33036288\", alpha=\"0.09\", expect_size=\"16518144\"] \n  8 -> 26 [size =\"16518144\"]\n  8 -> 30 [size =\"16518144\"]\n  8 -> 34 [size =\"16518144\"]\n  8 -> 35 [size =\"16518144\"]\n  8 -> 36 [size =\"16518144\"]\n  8 -> 39 [size =\"16518144\"]\n  9 [size=\"46264320\", alpha=\"0.19\", expect_size=\"23132160\"] \n  9 -> 27 [size =\"23132160\"]\n  9 -> 30 [size =\"23132160\"]\n  9 -> 31 [size =\"23132160\"]\n  9 -> 34 [size =\"23132160\"]\n  9 -> 38 [size =\"23132160\"]\n  9 -> 39 [size =\"23132160\"]\n  9 -> 40 [size =\"23132160\"]\n  10 [size=\"55382016\", alpha=\"0.02\", expect_size=\"27691008\"] \n  10 -> 26 [size =\"27691008\"]\n  10 -> 27 [size =\"27691008\"]\n  10 -> 30 [size =\"27691008\"]\n  10 -> 34 [size =\"27691008\"]\n  10 -> 36 [size =\"27691008\"]\n  10 -> 37 [size =\"27691008\"]\n  10 -> 39 [size =\"27691008\"]\n  11 [size=\"16183296\", alpha=\"0.02\", expect_size=\"8091648\"] \n  11 -> 26 [size =\"8091648\"]\n  11 -> 30 [size =\"8091648\"]\n  11 -> 30 [size =\"8091648\"]\n  11 -> 31 [size =\"8091648\"]\n  11 -> 32 [size =\"8091648\"]\n  11 -> 37 [size =\"8091648\"]\n  11 -> 39 [size =\"8091648\"]\n  12 [size=\"14143488\", alpha=\"0.13\", expect_size=\"7071744\"] \n  12 -> 27 [size =\"7071744\"]\n  12 -> 28 [size =\"7071744\"]\n  12 -> 30 [size =\"7071744\"]\n  12 -> 32 [size =\"7071744\"]\n  12 -> 35 [size =\"7071744\"]\n  12 -> 36 [size =\"7071744\"]\n  12 -> 39 [size =\"7071744\"]\n  13 [size=\"65771520\", alpha=\"0.12\", expect_size=\"32885760\"] \n  13 -> 26 [size =\"32885760\"]\n  13 -> 27 [size =\"32885760\"]\n  13 -> 28 [size =\"32885760\"]\n  13 -> 29 [size =\"32885760\"]\n  13 -> 30 [size =\"32885760\"]\n  13 -> 35 [size =\"32885760\"]\n  13 -> 37 [size =\"32885760\"]\n  13 -> 38 [size =\"32885760\"]\n  13 -> 39 [size =\"32885760\"]\n  13 -> 40 [size =\"32885760\"]\n  14 [size=\"14278656\", alpha=\"0.07\", expect_size=\"7139328\"] \n  14 -> 27 [size =\"7139328\"]\n  14 -> 27 [size =\"7139328\"]\n  14 -> 30 [size =\"7139328\"]\n  14 -> 33 [size =\"7139328\"]\n  14 -> 38 [size =\"7139328\"]\n  14 -> 39 [size =\"7139328\"]\n  14 -> 40 [size =\"7139328\"]\n  15 [size=\"101361664\", alpha=\"0.10\", expect_size=\"50680832\"] \n  15 -> 27 [size =\"50680832\"]\n  15 -> 28 [size =\"50680832\"]\n  15 -> 30 [size =\"50680832\"]\n  15 -> 33 [size =\"50680832\"]\n  15 -> 34 [size =\"50680832\"]\n  15 -> 36 [size =\"50680832\"]\n  15 -> 39 [size =\"50680832\"]\n  16 [size=\"87871488\", alpha=\"0.13\", expect_size=\"43935744\"] \n  16 -> 28 [size =\"43935744\"]\n  16 -> 30 [size =\"43935744\"]\n  16 -> 30 [size =\"43935744\"]\n  16 -> 37 [size =\"43935744\"]\n  16 -> 40 [size =\"43935744\"]\n  17 [size=\"11241472\", alpha=\"0.03\", expect_size=\"5620736\"] \n  17 -> 26 [size =\"5620736\"]\n  17 -> 34 [size =\"5620736\"]\n  17 -> 37 [size =\"5620736\"]\n  17 -> 38 [size =\"5620736\"]\n  18 [size=\"82010112\", alpha=\"0.15\", expect_size=\"41005056\"] \n  18 -> 28 [size =\"41005056\"]\n  18 -> 30 [size =\"41005056\"]\n  18 -> 33 [size =\"41005056\"]\n  18 -> 35 [size =\"41005056\"]\n  18 -> 36 [size =\"41005056\"]\n  18 -> 39 [size =\"41005056\"]\n  19 [size=\"29509632\", alpha=\"0.09\", expect_size=\"14754816\"] \n  19 -> 27 [size =\"14754816\"]\n  19 -> 31 [size =\"14754816\"]\n  19 -> 32 [size =\"14754816\"]\n  19 -> 33 [size =\"14754816\"]\n  19 -> 35 [size =\"14754816\"]\n  19 -> 36 [size =\"14754816\"]\n  19 -> 37 [size =\"14754816\"]\n  19 -> 39 [size =\"14754816\"]\n  20 [size=\"24170496\", alpha=\"0.06\", expect_size=\"12085248\"] \n  20 -> 27 [size =\"12085248\"]\n  20 -> 29 [size =\"12085248\"]\n  20 -> 30 [size =\"12085248\"]\n  20 -> 32 [size =\"12085248\"]\n  20 -> 33 [size =\"12085248\"]\n  20 -> 37 [size =\"12085248\"]\n  20 -> 37 [size =\"12085248\"]\n  20 -> 39 [size =\"12085248\"]\n  21 [size=\"32442368\", alpha=\"0.09\", expect_size=\"16221184\"] \n  21 -> 26 [size =\"16221184\"]\n  21 -> 27 [size =\"16221184\"]\n  21 -> 30 [size =\"16221184\"]\n  21 -> 33 [size =\"16221184\"]\n  21 -> 34 [size =\"16221184\"]\n  21 -> 35 [size =\"16221184\"]\n  21 -> 37 [size =\"16221184\"]\n  21 -> 38 [size =\"16221184\"]\n  21 -> 39 [size =\"16221184\"]\n  22 [size=\"40392704\", alpha=\"0.08\", expect_size=\"20196352\"] \n  22 -> 26 [size =\"20196352\"]\n  22 -> 27 [size =\"20196352\"]\n  22 -> 30 [size =\"20196352\"]\n  22 -> 36 [size =\"20196352\"]\n  22 -> 38 [size =\"20196352\"]\n  22 -> 40 [size =\"20196352\"]\n  23 [size=\"103352320\", alpha=\"0.09\", expect_size=\"51676160\"] \n  23 -> 27 [size =\"51676160\"]\n  23 -> 27 [size =\"51676160\"]\n  23 -> 29 [size =\"51676160\"]\n  23 -> 30 [size =\"51676160\"]\n  23 -> 32 [size =\"51676160\"]\n  23 -> 33 [size =\"51676160\"]\n  23 -> 34 [size =\"51676160\"]\n  23 -> 35 [size =\"51676160\"]\n  23 -> 36 [size =\"51676160\"]\n  23 -> 37 [size =\"51676160\"]\n  23 -> 39 [size =\"51676160\"]\n  23 -> 40 [size =\"51676160\"]\n  24 [size=\"66254848\", alpha=\"0.03\", expect_size=\"33127424\"] \n  24 -> 29 [size =\"33127424\"]\n  24 -> 31 [size =\"33127424\"]\n  24 -> 32 [size =\"33127424\"]\n  24 -> 34 [size =\"33127424\"]\n  24 -> 36 [size =\"33127424\"]\n  24 -> 38 [size =\"33127424\"]\n  24 -> 39 [size =\"33127424\"]\n  24 -> 40 [size =\"33127424\"]\n  25 [size=\"98033664\", alpha=\"0.01\", expect_size=\"49016832\"] \n  25 -> 26 [size =\"49016832\"]\n  25 -> 27 [size =\"49016832\"]\n  25 -> 29 [size =\"49016832\"]\n  25 -> 32 [size =\"49016832\"]\n  25 -> 34 [size =\"49016832\"]\n  25 -> 36 [size =\"49016832\"]\n  25 -> 37 [size =\"49016832\"]\n  25 -> 39 [size =\"49016832\"]\n  25 -> 40 [size =\"49016832\"]\n  26 [size=\"50520064\", alpha=\"0.20\", expect_size=\"25260032\"] \n  27 [size=\"15269888\", alpha=\"0.17\", expect_size=\"7634944\"] \n  28 [size=\"29831168\", alpha=\"0.19\", expect_size=\"14915584\"] \n  29 [size=\"101978112\", alpha=\"0.08\", expect_size=\"50989056\"] \n  30 [size=\"52353024\", alpha=\"0.07\", expect_size=\"26176512\"] \n  31 [size=\"79777792\", alpha=\"0.08\", expect_size=\"39888896\"] \n  32 [size=\"29403136\", alpha=\"0.09\", expect_size=\"14701568\"] \n  33 [size=\"65357824\", alpha=\"0.02\", expect_size=\"32678912\"] \n  34 [size=\"11632640\", alpha=\"0.15\", expect_size=\"5816320\"] \n  35 [size=\"26126336\", alpha=\"0.08\", expect_size=\"13063168\"] \n  36 [size=\"32055296\", alpha=\"0.17\", expect_size=\"16027648\"] \n  37 [size=\"30353408\", alpha=\"0.07\", expect_size=\"15176704\"] \n  38 [size=\"15396864\", alpha=\"0.11\", expect_size=\"7698432\"] \n  39 [size=\"104103936\", alpha=\"0.20\", expect_size=\"52051968\"] \n  40 [size=\"49143808\", alpha=\"0.11\", expect_size=\"24571904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29534720\", alpha=\"0.12\", expect_size=\"11813888\"] \n  2 [size=\"128235520\", alpha=\"0.01\", expect_size=\"51294208\"] \n  2 -> 6 [size =\"51294208\"]\n  2 -> 7 [size =\"51294208\"]\n  2 -> 8 [size =\"51294208\"]\n  2 -> 10 [size =\"51294208\"]\n  3 [size=\"75578880\", alpha=\"0.02\", expect_size=\"30231552\"] \n  3 -> 7 [size =\"30231552\"]\n  3 -> 10 [size =\"30231552\"]\n  4 [size=\"98539520\", alpha=\"0.10\", expect_size=\"39415808\"] \n  4 -> 6 [size =\"39415808\"]\n  4 -> 7 [size =\"39415808\"]\n  4 -> 9 [size =\"39415808\"]\n  4 -> 10 [size =\"39415808\"]\n  5 [size=\"74035200\", alpha=\"0.13\", expect_size=\"29614080\"] \n  6 [size=\"91110400\", alpha=\"0.11\", expect_size=\"36444160\"] \n  6 -> 11 [size =\"36444160\"]\n  6 -> 12 [size =\"36444160\"]\n  6 -> 15 [size =\"36444160\"]\n  6 -> 15 [size =\"36444160\"]\n  6 -> 16 [size =\"36444160\"]\n  6 -> 17 [size =\"36444160\"]\n  6 -> 18 [size =\"36444160\"]\n  7 [size=\"61355520\", alpha=\"0.02\", expect_size=\"24542208\"] \n  7 -> 16 [size =\"24542208\"]\n  7 -> 17 [size =\"24542208\"]\n  8 [size=\"88166400\", alpha=\"0.01\", expect_size=\"35266560\"] \n  8 -> 13 [size =\"35266560\"]\n  8 -> 16 [size =\"35266560\"]\n  8 -> 17 [size =\"35266560\"]\n  9 [size=\"130882560\", alpha=\"0.00\", expect_size=\"52353024\"] \n  9 -> 11 [size =\"52353024\"]\n  9 -> 13 [size =\"52353024\"]\n  9 -> 14 [size =\"52353024\"]\n  9 -> 17 [size =\"52353024\"]\n  9 -> 18 [size =\"52353024\"]\n  10 [size=\"88174080\", alpha=\"0.04\", expect_size=\"35269632\"] \n  10 -> 11 [size =\"35269632\"]\n  10 -> 13 [size =\"35269632\"]\n  10 -> 14 [size =\"35269632\"]\n  10 -> 15 [size =\"35269632\"]\n  10 -> 16 [size =\"35269632\"]\n  10 -> 17 [size =\"35269632\"]\n  10 -> 18 [size =\"35269632\"]\n  11 [size=\"124285440\", alpha=\"0.09\", expect_size=\"49714176\"] \n  11 -> 20 [size =\"49714176\"]\n  11 -> 21 [size =\"49714176\"]\n  11 -> 22 [size =\"49714176\"]\n  11 -> 22 [size =\"49714176\"]\n  11 -> 23 [size =\"49714176\"]\n  11 -> 24 [size =\"49714176\"]\n  12 [size=\"78318080\", alpha=\"0.19\", expect_size=\"31327232\"] \n  12 -> 20 [size =\"31327232\"]\n  12 -> 23 [size =\"31327232\"]\n  12 -> 24 [size =\"31327232\"]\n  13 [size=\"82288640\", alpha=\"0.02\", expect_size=\"32915456\"] \n  13 -> 20 [size =\"32915456\"]\n  13 -> 21 [size =\"32915456\"]\n  13 -> 22 [size =\"32915456\"]\n  13 -> 23 [size =\"32915456\"]\n  13 -> 24 [size =\"32915456\"]\n  14 [size=\"91747840\", alpha=\"0.13\", expect_size=\"36699136\"] \n  14 -> 19 [size =\"36699136\"]\n  14 -> 21 [size =\"36699136\"]\n  14 -> 22 [size =\"36699136\"]\n  14 -> 23 [size =\"36699136\"]\n  14 -> 24 [size =\"36699136\"]\n  15 [size=\"34828800\", alpha=\"0.15\", expect_size=\"13931520\"] \n  15 -> 19 [size =\"13931520\"]\n  15 -> 21 [size =\"13931520\"]\n  15 -> 22 [size =\"13931520\"]\n  15 -> 23 [size =\"13931520\"]\n  16 [size=\"110016000\", alpha=\"0.04\", expect_size=\"44006400\"] \n  16 -> 19 [size =\"44006400\"]\n  16 -> 21 [size =\"44006400\"]\n  16 -> 22 [size =\"44006400\"]\n  16 -> 23 [size =\"44006400\"]\n  17 [size=\"59325440\", alpha=\"0.10\", expect_size=\"23730176\"] \n  17 -> 19 [size =\"23730176\"]\n  17 -> 21 [size =\"23730176\"]\n  17 -> 22 [size =\"23730176\"]\n  17 -> 23 [size =\"23730176\"]\n  18 [size=\"71290880\", alpha=\"0.02\", expect_size=\"28516352\"] \n  18 -> 19 [size =\"28516352\"]\n  18 -> 20 [size =\"28516352\"]\n  18 -> 21 [size =\"28516352\"]\n  18 -> 22 [size =\"28516352\"]\n  18 -> 23 [size =\"28516352\"]\n  19 [size=\"77068800\", alpha=\"0.03\", expect_size=\"30827520\"] \n  19 -> 25 [size =\"30827520\"]\n  19 -> 31 [size =\"30827520\"]\n  20 [size=\"78617600\", alpha=\"0.00\", expect_size=\"31447040\"] \n  20 -> 25 [size =\"31447040\"]\n  20 -> 26 [size =\"31447040\"]\n  20 -> 29 [size =\"31447040\"]\n  20 -> 31 [size =\"31447040\"]\n  20 -> 32 [size =\"31447040\"]\n  21 [size=\"101457920\", alpha=\"0.00\", expect_size=\"40583168\"] \n  21 -> 25 [size =\"40583168\"]\n  21 -> 26 [size =\"40583168\"]\n  21 -> 27 [size =\"40583168\"]\n  21 -> 29 [size =\"40583168\"]\n  21 -> 31 [size =\"40583168\"]\n  22 [size=\"35315200\", alpha=\"0.20\", expect_size=\"14126080\"] \n  22 -> 26 [size =\"14126080\"]\n  22 -> 27 [size =\"14126080\"]\n  22 -> 27 [size =\"14126080\"]\n  22 -> 29 [size =\"14126080\"]\n  22 -> 30 [size =\"14126080\"]\n  22 -> 31 [size =\"14126080\"]\n  23 [size=\"27770880\", alpha=\"0.10\", expect_size=\"11108352\"] \n  23 -> 27 [size =\"11108352\"]\n  23 -> 28 [size =\"11108352\"]\n  23 -> 29 [size =\"11108352\"]\n  23 -> 29 [size =\"11108352\"]\n  23 -> 31 [size =\"11108352\"]\n  24 [size=\"40238080\", alpha=\"0.15\", expect_size=\"16095232\"] \n  24 -> 25 [size =\"16095232\"]\n  24 -> 27 [size =\"16095232\"]\n  24 -> 28 [size =\"16095232\"]\n  24 -> 29 [size =\"16095232\"]\n  25 [size=\"116257280\", alpha=\"0.10\", expect_size=\"46502912\"] \n  25 -> 33 [size =\"46502912\"]\n  25 -> 35 [size =\"46502912\"]\n  26 [size=\"84433920\", alpha=\"0.18\", expect_size=\"33773568\"] \n  26 -> 34 [size =\"33773568\"]\n  26 -> 35 [size =\"33773568\"]\n  26 -> 36 [size =\"33773568\"]\n  27 [size=\"109529600\", alpha=\"0.15\", expect_size=\"43811840\"] \n  27 -> 33 [size =\"43811840\"]\n  27 -> 35 [size =\"43811840\"]\n  27 -> 36 [size =\"43811840\"]\n  28 [size=\"52139520\", alpha=\"0.04\", expect_size=\"20855808\"] \n  28 -> 35 [size =\"20855808\"]\n  28 -> 35 [size =\"20855808\"]\n  28 -> 36 [size =\"20855808\"]\n  29 [size=\"66301440\", alpha=\"0.13\", expect_size=\"26520576\"] \n  29 -> 34 [size =\"26520576\"]\n  30 [size=\"82667520\", alpha=\"0.15\", expect_size=\"33067008\"] \n  30 -> 33 [size =\"33067008\"]\n  30 -> 36 [size =\"33067008\"]\n  31 [size=\"83322880\", alpha=\"0.16\", expect_size=\"33329152\"] \n  31 -> 33 [size =\"33329152\"]\n  31 -> 35 [size =\"33329152\"]\n  31 -> 36 [size =\"33329152\"]\n  32 [size=\"84695040\", alpha=\"0.07\", expect_size=\"33878016\"] \n  32 -> 33 [size =\"33878016\"]\n  32 -> 35 [size =\"33878016\"]\n  32 -> 36 [size =\"33878016\"]\n  33 [size=\"83950080\", alpha=\"0.11\", expect_size=\"33580032\"] \n  33 -> 37 [size =\"33580032\"]\n  33 -> 38 [size =\"33580032\"]\n  33 -> 39 [size =\"33580032\"]\n  34 [size=\"25600000\", alpha=\"0.08\", expect_size=\"10240000\"] \n  34 -> 37 [size =\"10240000\"]\n  34 -> 40 [size =\"10240000\"]\n  35 [size=\"113041920\", alpha=\"0.08\", expect_size=\"45216768\"] \n  35 -> 37 [size =\"45216768\"]\n  35 -> 39 [size =\"45216768\"]\n  36 [size=\"53312000\", alpha=\"0.05\", expect_size=\"21324800\"] \n  36 -> 37 [size =\"21324800\"]\n  36 -> 38 [size =\"21324800\"]\n  36 -> 39 [size =\"21324800\"]\n  37 [size=\"42378240\", alpha=\"0.10\", expect_size=\"16951296\"] \n  38 [size=\"128491520\", alpha=\"0.05\", expect_size=\"51396608\"] \n  39 [size=\"32814080\", alpha=\"0.10\", expect_size=\"13125632\"] \n  40 [size=\"109056000\", alpha=\"0.07\", expect_size=\"43622400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32242347\", alpha=\"0.08\", expect_size=\"9672704\"] \n  1 -> 4 [size =\"9672704\"]\n  2 [size=\"72168107\", alpha=\"0.05\", expect_size=\"21650432\"] \n  2 -> 5 [size =\"21650432\"]\n  2 -> 6 [size =\"21650432\"]\n  3 [size=\"29392213\", alpha=\"0.01\", expect_size=\"8817664\"] \n  4 [size=\"76953600\", alpha=\"0.10\", expect_size=\"23086080\"] \n  4 -> 7 [size =\"23086080\"]\n  4 -> 8 [size =\"23086080\"]\n  5 [size=\"69990400\", alpha=\"0.06\", expect_size=\"20997120\"] \n  5 -> 9 [size =\"20997120\"]\n  6 [size=\"161419947\", alpha=\"0.18\", expect_size=\"48425984\"] \n  6 -> 9 [size =\"48425984\"]\n  7 [size=\"127003307\", alpha=\"0.00\", expect_size=\"38100992\"] \n  7 -> 12 [size =\"38100992\"]\n  8 [size=\"53381120\", alpha=\"0.07\", expect_size=\"16014336\"] \n  8 -> 10 [size =\"16014336\"]\n  8 -> 11 [size =\"16014336\"]\n  8 -> 12 [size =\"16014336\"]\n  9 [size=\"98106027\", alpha=\"0.04\", expect_size=\"29431808\"] \n  9 -> 10 [size =\"29431808\"]\n  10 [size=\"73274027\", alpha=\"0.07\", expect_size=\"21982208\"] \n  10 -> 13 [size =\"21982208\"]\n  10 -> 14 [size =\"21982208\"]\n  11 [size=\"74332160\", alpha=\"0.19\", expect_size=\"22299648\"] \n  11 -> 13 [size =\"22299648\"]\n  12 [size=\"139304960\", alpha=\"0.04\", expect_size=\"41791488\"] \n  12 -> 14 [size =\"41791488\"]\n  13 [size=\"22469973\", alpha=\"0.18\", expect_size=\"6740992\"] \n  13 -> 15 [size =\"6740992\"]\n  14 [size=\"29323947\", alpha=\"0.03\", expect_size=\"8797184\"] \n  14 -> 16 [size =\"8797184\"]\n  15 [size=\"109503147\", alpha=\"0.18\", expect_size=\"32850944\"] \n  16 [size=\"157040640\", alpha=\"0.08\", expect_size=\"47112192\"] \n  16 -> 17 [size =\"47112192\"]\n  16 -> 18 [size =\"47112192\"]\n  16 -> 19 [size =\"47112192\"]\n  17 [size=\"137584640\", alpha=\"0.02\", expect_size=\"41275392\"] \n  17 -> 21 [size =\"41275392\"]\n  18 [size=\"138205867\", alpha=\"0.11\", expect_size=\"41461760\"] \n  18 -> 21 [size =\"41461760\"]\n  18 -> 22 [size =\"41461760\"]\n  19 [size=\"38669653\", alpha=\"0.00\", expect_size=\"11600896\"] \n  19 -> 20 [size =\"11600896\"]\n  20 [size=\"69420373\", alpha=\"0.12\", expect_size=\"20826112\"] \n  21 [size=\"125665280\", alpha=\"0.06\", expect_size=\"37699584\"] \n  21 -> 23 [size =\"37699584\"]\n  21 -> 24 [size =\"37699584\"]\n  22 [size=\"115554987\", alpha=\"0.06\", expect_size=\"34666496\"] \n  23 [size=\"143701333\", alpha=\"0.08\", expect_size=\"43110400\"] \n  24 [size=\"130897920\", alpha=\"0.18\", expect_size=\"39269376\"] \n  24 -> 25 [size =\"39269376\"]\n  24 -> 26 [size =\"39269376\"]\n  25 [size=\"155463680\", alpha=\"0.14\", expect_size=\"46639104\"] \n  25 -> 27 [size =\"46639104\"]\n  26 [size=\"141393920\", alpha=\"0.09\", expect_size=\"42418176\"] \n  26 -> 28 [size =\"42418176\"]\n  26 -> 29 [size =\"42418176\"]\n  27 [size=\"48015360\", alpha=\"0.18\", expect_size=\"14404608\"] \n  27 -> 30 [size =\"14404608\"]\n  27 -> 31 [size =\"14404608\"]\n  27 -> 32 [size =\"14404608\"]\n  28 [size=\"67194880\", alpha=\"0.11\", expect_size=\"20158464\"] \n  28 -> 30 [size =\"20158464\"]\n  28 -> 32 [size =\"20158464\"]\n  29 [size=\"157009920\", alpha=\"0.14\", expect_size=\"47102976\"] \n  30 [size=\"160133120\", alpha=\"0.05\", expect_size=\"48039936\"] \n  30 -> 34 [size =\"48039936\"]\n  30 -> 35 [size =\"48039936\"]\n  31 [size=\"98372267\", alpha=\"0.02\", expect_size=\"29511680\"] \n  31 -> 33 [size =\"29511680\"]\n  31 -> 34 [size =\"29511680\"]\n  32 [size=\"143786667\", alpha=\"0.16\", expect_size=\"43136000\"] \n  33 [size=\"36495360\", alpha=\"0.09\", expect_size=\"10948608\"] \n  33 -> 37 [size =\"10948608\"]\n  34 [size=\"102987093\", alpha=\"0.05\", expect_size=\"30896128\"] \n  34 -> 36 [size =\"30896128\"]\n  35 [size=\"88169813\", alpha=\"0.12\", expect_size=\"26450944\"] \n  35 -> 37 [size =\"26450944\"]\n  36 [size=\"44561067\", alpha=\"0.17\", expect_size=\"13368320\"] \n  36 -> 38 [size =\"13368320\"]\n  36 -> 39 [size =\"13368320\"]\n  37 [size=\"116104533\", alpha=\"0.17\", expect_size=\"34831360\"] \n  37 -> 39 [size =\"34831360\"]\n  38 [size=\"97754453\", alpha=\"0.12\", expect_size=\"29326336\"] \n  38 -> 40 [size =\"29326336\"]\n  39 [size=\"25422507\", alpha=\"0.10\", expect_size=\"7626752\"] \n  39 -> 40 [size =\"7626752\"]\n  40 [size=\"137021440\", alpha=\"0.15\", expect_size=\"41106432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74328064\", alpha=\"0.12\", expect_size=\"37164032\"] \n  2 [size=\"16709632\", alpha=\"0.06\", expect_size=\"8354816\"] \n  2 -> 35 [size =\"8354816\"]\n  2 -> 37 [size =\"8354816\"]\n  2 -> 40 [size =\"8354816\"]\n  3 [size=\"102047744\", alpha=\"0.10\", expect_size=\"51023872\"] \n  3 -> 35 [size =\"51023872\"]\n  3 -> 40 [size =\"51023872\"]\n  3 -> 40 [size =\"51023872\"]\n  4 [size=\"24399872\", alpha=\"0.15\", expect_size=\"12199936\"] \n  4 -> 39 [size =\"12199936\"]\n  4 -> 40 [size =\"12199936\"]\n  5 [size=\"70858752\", alpha=\"0.09\", expect_size=\"35429376\"] \n  5 -> 39 [size =\"35429376\"]\n  6 [size=\"67123200\", alpha=\"0.03\", expect_size=\"33561600\"] \n  6 -> 37 [size =\"33561600\"]\n  6 -> 38 [size =\"33561600\"]\n  6 -> 39 [size =\"33561600\"]\n  6 -> 40 [size =\"33561600\"]\n  7 [size=\"93558784\", alpha=\"0.19\", expect_size=\"46779392\"] \n  7 -> 40 [size =\"46779392\"]\n  8 [size=\"102291456\", alpha=\"0.07\", expect_size=\"51145728\"] \n  8 -> 35 [size =\"51145728\"]\n  8 -> 40 [size =\"51145728\"]\n  9 [size=\"24307712\", alpha=\"0.10\", expect_size=\"12153856\"] \n  9 -> 35 [size =\"12153856\"]\n  9 -> 37 [size =\"12153856\"]\n  10 [size=\"92538880\", alpha=\"0.06\", expect_size=\"46269440\"] \n  10 -> 40 [size =\"46269440\"]\n  11 [size=\"98709504\", alpha=\"0.04\", expect_size=\"49354752\"] \n  12 [size=\"59570176\", alpha=\"0.19\", expect_size=\"29785088\"] \n  12 -> 39 [size =\"29785088\"]\n  12 -> 40 [size =\"29785088\"]\n  13 [size=\"89812992\", alpha=\"0.18\", expect_size=\"44906496\"] \n  13 -> 36 [size =\"44906496\"]\n  13 -> 40 [size =\"44906496\"]\n  14 [size=\"44042240\", alpha=\"0.11\", expect_size=\"22021120\"] \n  14 -> 35 [size =\"22021120\"]\n  15 [size=\"19312640\", alpha=\"0.10\", expect_size=\"9656320\"] \n  15 -> 36 [size =\"9656320\"]\n  16 [size=\"61974528\", alpha=\"0.16\", expect_size=\"30987264\"] \n  16 -> 40 [size =\"30987264\"]\n  17 [size=\"77588480\", alpha=\"0.03\", expect_size=\"38794240\"] \n  18 [size=\"75165696\", alpha=\"0.13\", expect_size=\"37582848\"] \n  18 -> 36 [size =\"37582848\"]\n  18 -> 40 [size =\"37582848\"]\n  19 [size=\"11780096\", alpha=\"0.10\", expect_size=\"5890048\"] \n  19 -> 35 [size =\"5890048\"]\n  19 -> 38 [size =\"5890048\"]\n  20 [size=\"59803648\", alpha=\"0.01\", expect_size=\"29901824\"] \n  20 -> 36 [size =\"29901824\"]\n  20 -> 39 [size =\"29901824\"]\n  20 -> 40 [size =\"29901824\"]\n  21 [size=\"88571904\", alpha=\"0.05\", expect_size=\"44285952\"] \n  21 -> 39 [size =\"44285952\"]\n  21 -> 39 [size =\"44285952\"]\n  21 -> 40 [size =\"44285952\"]\n  22 [size=\"15319040\", alpha=\"0.10\", expect_size=\"7659520\"] \n  22 -> 36 [size =\"7659520\"]\n  23 [size=\"12929024\", alpha=\"0.15\", expect_size=\"6464512\"] \n  24 [size=\"100196352\", alpha=\"0.02\", expect_size=\"50098176\"] \n  24 -> 35 [size =\"50098176\"]\n  24 -> 39 [size =\"50098176\"]\n  25 [size=\"59142144\", alpha=\"0.03\", expect_size=\"29571072\"] \n  25 -> 36 [size =\"29571072\"]\n  25 -> 40 [size =\"29571072\"]\n  26 [size=\"10598400\", alpha=\"0.15\", expect_size=\"5299200\"] \n  26 -> 35 [size =\"5299200\"]\n  26 -> 39 [size =\"5299200\"]\n  27 [size=\"84080640\", alpha=\"0.05\", expect_size=\"42040320\"] \n  27 -> 39 [size =\"42040320\"]\n  27 -> 40 [size =\"42040320\"]\n  28 [size=\"96970752\", alpha=\"0.15\", expect_size=\"48485376\"] \n  28 -> 35 [size =\"48485376\"]\n  28 -> 36 [size =\"48485376\"]\n  28 -> 38 [size =\"48485376\"]\n  28 -> 40 [size =\"48485376\"]\n  29 [size=\"62058496\", alpha=\"0.07\", expect_size=\"31029248\"] \n  30 [size=\"16723968\", alpha=\"0.17\", expect_size=\"8361984\"] \n  30 -> 35 [size =\"8361984\"]\n  30 -> 36 [size =\"8361984\"]\n  30 -> 38 [size =\"8361984\"]\n  31 [size=\"20535296\", alpha=\"0.05\", expect_size=\"10267648\"] \n  31 -> 35 [size =\"10267648\"]\n  31 -> 36 [size =\"10267648\"]\n  31 -> 38 [size =\"10267648\"]\n  32 [size=\"42967040\", alpha=\"0.04\", expect_size=\"21483520\"] \n  32 -> 36 [size =\"21483520\"]\n  32 -> 40 [size =\"21483520\"]\n  33 [size=\"90243072\", alpha=\"0.20\", expect_size=\"45121536\"] \n  33 -> 35 [size =\"45121536\"]\n  34 [size=\"65181696\", alpha=\"0.03\", expect_size=\"32590848\"] \n  35 [size=\"76070912\", alpha=\"0.07\", expect_size=\"38035456\"] \n  36 [size=\"88911872\", alpha=\"0.03\", expect_size=\"44455936\"] \n  37 [size=\"65970176\", alpha=\"0.13\", expect_size=\"32985088\"] \n  38 [size=\"90318848\", alpha=\"0.16\", expect_size=\"45159424\"] \n  39 [size=\"65019904\", alpha=\"0.00\", expect_size=\"32509952\"] \n  40 [size=\"98269184\", alpha=\"0.14\", expect_size=\"49134592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48037888\", alpha=\"0.13\", expect_size=\"24018944\"] \n  1 -> 2 [size =\"24018944\"]\n  2 [size=\"90613760\", alpha=\"0.05\", expect_size=\"45306880\"] \n  2 -> 3 [size =\"45306880\"]\n  3 [size=\"29237248\", alpha=\"0.18\", expect_size=\"14618624\"] \n  3 -> 4 [size =\"14618624\"]\n  4 [size=\"94449664\", alpha=\"0.19\", expect_size=\"47224832\"] \n  4 -> 5 [size =\"47224832\"]\n  5 [size=\"45369344\", alpha=\"0.03\", expect_size=\"22684672\"] \n  5 -> 6 [size =\"22684672\"]\n  6 [size=\"89573376\", alpha=\"0.05\", expect_size=\"44786688\"] \n  6 -> 7 [size =\"44786688\"]\n  7 [size=\"70590464\", alpha=\"0.05\", expect_size=\"35295232\"] \n  7 -> 8 [size =\"35295232\"]\n  8 [size=\"96444416\", alpha=\"0.03\", expect_size=\"48222208\"] \n  8 -> 9 [size =\"48222208\"]\n  9 [size=\"54816768\", alpha=\"0.10\", expect_size=\"27408384\"] \n  9 -> 10 [size =\"27408384\"]\n  10 [size=\"14245888\", alpha=\"0.15\", expect_size=\"7122944\"] \n  10 -> 11 [size =\"7122944\"]\n  11 [size=\"28907520\", alpha=\"0.12\", expect_size=\"14453760\"] \n  11 -> 12 [size =\"14453760\"]\n  12 [size=\"88481792\", alpha=\"0.15\", expect_size=\"44240896\"] \n  12 -> 13 [size =\"44240896\"]\n  13 [size=\"18604032\", alpha=\"0.04\", expect_size=\"9302016\"] \n  13 -> 14 [size =\"9302016\"]\n  14 [size=\"103012352\", alpha=\"0.14\", expect_size=\"51506176\"] \n  14 -> 15 [size =\"51506176\"]\n  15 [size=\"96088064\", alpha=\"0.02\", expect_size=\"48044032\"] \n  15 -> 16 [size =\"48044032\"]\n  16 [size=\"15880192\", alpha=\"0.15\", expect_size=\"7940096\"] \n  16 -> 17 [size =\"7940096\"]\n  17 [size=\"37214208\", alpha=\"0.03\", expect_size=\"18607104\"] \n  17 -> 18 [size =\"18607104\"]\n  18 [size=\"59398144\", alpha=\"0.15\", expect_size=\"29699072\"] \n  18 -> 19 [size =\"29699072\"]\n  19 [size=\"72419328\", alpha=\"0.03\", expect_size=\"36209664\"] \n  19 -> 20 [size =\"36209664\"]\n  20 [size=\"24967168\", alpha=\"0.07\", expect_size=\"12483584\"] \n  20 -> 21 [size =\"12483584\"]\n  21 [size=\"97695744\", alpha=\"0.18\", expect_size=\"48847872\"] \n  21 -> 22 [size =\"48847872\"]\n  22 [size=\"58320896\", alpha=\"0.07\", expect_size=\"29160448\"] \n  22 -> 23 [size =\"29160448\"]\n  23 [size=\"34002944\", alpha=\"0.19\", expect_size=\"17001472\"] \n  23 -> 24 [size =\"17001472\"]\n  24 [size=\"55197696\", alpha=\"0.10\", expect_size=\"27598848\"] \n  24 -> 25 [size =\"27598848\"]\n  25 [size=\"27392000\", alpha=\"0.07\", expect_size=\"13696000\"] \n  25 -> 26 [size =\"13696000\"]\n  26 [size=\"34729984\", alpha=\"0.02\", expect_size=\"17364992\"] \n  26 -> 27 [size =\"17364992\"]\n  27 [size=\"11288576\", alpha=\"0.09\", expect_size=\"5644288\"] \n  27 -> 28 [size =\"5644288\"]\n  28 [size=\"24250368\", alpha=\"0.14\", expect_size=\"12125184\"] \n  28 -> 29 [size =\"12125184\"]\n  29 [size=\"95199232\", alpha=\"0.09\", expect_size=\"47599616\"] \n  29 -> 30 [size =\"47599616\"]\n  30 [size=\"15831040\", alpha=\"0.05\", expect_size=\"7915520\"] \n  30 -> 31 [size =\"7915520\"]\n  31 [size=\"47706112\", alpha=\"0.04\", expect_size=\"23853056\"] \n  31 -> 32 [size =\"23853056\"]\n  32 [size=\"39632896\", alpha=\"0.00\", expect_size=\"19816448\"] \n  32 -> 33 [size =\"19816448\"]\n  33 [size=\"71741440\", alpha=\"0.18\", expect_size=\"35870720\"] \n  33 -> 34 [size =\"35870720\"]\n  34 [size=\"68409344\", alpha=\"0.15\", expect_size=\"34204672\"] \n  34 -> 35 [size =\"34204672\"]\n  35 [size=\"19236864\", alpha=\"0.11\", expect_size=\"9618432\"] \n  35 -> 36 [size =\"9618432\"]\n  36 [size=\"53473280\", alpha=\"0.07\", expect_size=\"26736640\"] \n  36 -> 37 [size =\"26736640\"]\n  37 [size=\"61466624\", alpha=\"0.10\", expect_size=\"30733312\"] \n  37 -> 38 [size =\"30733312\"]\n  38 [size=\"103323648\", alpha=\"0.02\", expect_size=\"51661824\"] \n  38 -> 39 [size =\"51661824\"]\n  39 [size=\"76257280\", alpha=\"0.08\", expect_size=\"38128640\"] \n  39 -> 40 [size =\"38128640\"]\n  40 [size=\"24602624\", alpha=\"0.17\", expect_size=\"12301312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22259200\", alpha=\"0.04\", expect_size=\"8903680\"] \n  2 [size=\"23554560\", alpha=\"0.09\", expect_size=\"9421824\"] \n  2 -> 3 [size =\"9421824\"]\n  2 -> 4 [size =\"9421824\"]\n  2 -> 5 [size =\"9421824\"]\n  3 [size=\"63582720\", alpha=\"0.10\", expect_size=\"25433088\"] \n  3 -> 6 [size =\"25433088\"]\n  4 [size=\"94533120\", alpha=\"0.03\", expect_size=\"37813248\"] \n  4 -> 6 [size =\"37813248\"]\n  5 [size=\"13885440\", alpha=\"0.17\", expect_size=\"5554176\"] \n  5 -> 7 [size =\"5554176\"]\n  6 [size=\"59950080\", alpha=\"0.04\", expect_size=\"23980032\"] \n  6 -> 9 [size =\"23980032\"]\n  7 [size=\"54433280\", alpha=\"0.04\", expect_size=\"21773312\"] \n  7 -> 8 [size =\"21773312\"]\n  7 -> 10 [size =\"21773312\"]\n  8 [size=\"77657600\", alpha=\"0.15\", expect_size=\"31063040\"] \n  8 -> 12 [size =\"31063040\"]\n  9 [size=\"54133760\", alpha=\"0.04\", expect_size=\"21653504\"] \n  10 [size=\"67438080\", alpha=\"0.08\", expect_size=\"26975232\"] \n  10 -> 11 [size =\"26975232\"]\n  11 [size=\"86919680\", alpha=\"0.04\", expect_size=\"34767872\"] \n  11 -> 16 [size =\"34767872\"]\n  12 [size=\"108065280\", alpha=\"0.00\", expect_size=\"43226112\"] \n  12 -> 13 [size =\"43226112\"]\n  12 -> 14 [size =\"43226112\"]\n  12 -> 15 [size =\"43226112\"]\n  13 [size=\"45399040\", alpha=\"0.16\", expect_size=\"18159616\"] \n  13 -> 19 [size =\"18159616\"]\n  14 [size=\"104314880\", alpha=\"0.04\", expect_size=\"41725952\"] \n  15 [size=\"121026560\", alpha=\"0.16\", expect_size=\"48410624\"] \n  15 -> 17 [size =\"48410624\"]\n  16 [size=\"104862720\", alpha=\"0.03\", expect_size=\"41945088\"] \n  16 -> 18 [size =\"41945088\"]\n  17 [size=\"127137280\", alpha=\"0.04\", expect_size=\"50854912\"] \n  17 -> 20 [size =\"50854912\"]\n  18 [size=\"32158720\", alpha=\"0.11\", expect_size=\"12863488\"] \n  19 [size=\"121157120\", alpha=\"0.03\", expect_size=\"48462848\"] \n  19 -> 20 [size =\"48462848\"]\n  20 [size=\"27701760\", alpha=\"0.20\", expect_size=\"11080704\"] \n  20 -> 21 [size =\"11080704\"]\n  20 -> 22 [size =\"11080704\"]\n  21 [size=\"74455040\", alpha=\"0.19\", expect_size=\"29782016\"] \n  21 -> 23 [size =\"29782016\"]\n  22 [size=\"100590080\", alpha=\"0.19\", expect_size=\"40236032\"] \n  22 -> 24 [size =\"40236032\"]\n  23 [size=\"103206400\", alpha=\"0.08\", expect_size=\"41282560\"] \n  24 [size=\"77969920\", alpha=\"0.11\", expect_size=\"31187968\"] \n  24 -> 25 [size =\"31187968\"]\n  24 -> 26 [size =\"31187968\"]\n  24 -> 27 [size =\"31187968\"]\n  25 [size=\"100044800\", alpha=\"0.14\", expect_size=\"40017920\"] \n  25 -> 30 [size =\"40017920\"]\n  26 [size=\"79057920\", alpha=\"0.05\", expect_size=\"31623168\"] \n  27 [size=\"98117120\", alpha=\"0.03\", expect_size=\"39246848\"] \n  27 -> 28 [size =\"39246848\"]\n  27 -> 29 [size =\"39246848\"]\n  27 -> 30 [size =\"39246848\"]\n  28 [size=\"121963520\", alpha=\"0.12\", expect_size=\"48785408\"] \n  28 -> 32 [size =\"48785408\"]\n  29 [size=\"67532800\", alpha=\"0.08\", expect_size=\"27013120\"] \n  29 -> 31 [size =\"27013120\"]\n  30 [size=\"82744320\", alpha=\"0.13\", expect_size=\"33097728\"] \n  30 -> 32 [size =\"33097728\"]\n  31 [size=\"81361920\", alpha=\"0.10\", expect_size=\"32544768\"] \n  31 -> 34 [size =\"32544768\"]\n  32 [size=\"72545280\", alpha=\"0.04\", expect_size=\"29018112\"] \n  32 -> 33 [size =\"29018112\"]\n  33 [size=\"66739200\", alpha=\"0.03\", expect_size=\"26695680\"] \n  34 [size=\"114421760\", alpha=\"0.18\", expect_size=\"45768704\"] \n  34 -> 35 [size =\"45768704\"]\n  35 [size=\"61089280\", alpha=\"0.11\", expect_size=\"24435712\"] \n  35 -> 36 [size =\"24435712\"]\n  35 -> 37 [size =\"24435712\"]\n  36 [size=\"25489920\", alpha=\"0.19\", expect_size=\"10195968\"] \n  36 -> 38 [size =\"10195968\"]\n  36 -> 39 [size =\"10195968\"]\n  37 [size=\"54464000\", alpha=\"0.07\", expect_size=\"21785600\"] \n  38 [size=\"71375360\", alpha=\"0.18\", expect_size=\"28550144\"] \n  38 -> 40 [size =\"28550144\"]\n  39 [size=\"22807040\", alpha=\"0.07\", expect_size=\"9122816\"] \n  40 [size=\"67758080\", alpha=\"0.19\", expect_size=\"27103232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15390720\", alpha=\"0.19\", expect_size=\"7695360\"] \n  2 [size=\"71708672\", alpha=\"0.04\", expect_size=\"35854336\"] \n  2 -> 3 [size =\"35854336\"]\n  2 -> 4 [size =\"35854336\"]\n  3 [size=\"77090816\", alpha=\"0.18\", expect_size=\"38545408\"] \n  3 -> 6 [size =\"38545408\"]\n  3 -> 7 [size =\"38545408\"]\n  4 [size=\"78567424\", alpha=\"0.02\", expect_size=\"39283712\"] \n  4 -> 5 [size =\"39283712\"]\n  5 [size=\"18446336\", alpha=\"0.05\", expect_size=\"9223168\"] \n  5 -> 8 [size =\"9223168\"]\n  6 [size=\"60882944\", alpha=\"0.05\", expect_size=\"30441472\"] \n  7 [size=\"93300736\", alpha=\"0.03\", expect_size=\"46650368\"] \n  7 -> 9 [size =\"46650368\"]\n  8 [size=\"85909504\", alpha=\"0.09\", expect_size=\"42954752\"] \n  9 [size=\"82458624\", alpha=\"0.01\", expect_size=\"41229312\"] \n  9 -> 10 [size =\"41229312\"]\n  9 -> 11 [size =\"41229312\"]\n  9 -> 12 [size =\"41229312\"]\n  10 [size=\"40413184\", alpha=\"0.13\", expect_size=\"20206592\"] \n  10 -> 14 [size =\"20206592\"]\n  11 [size=\"10772480\", alpha=\"0.17\", expect_size=\"5386240\"] \n  11 -> 13 [size =\"5386240\"]\n  11 -> 15 [size =\"5386240\"]\n  12 [size=\"101505024\", alpha=\"0.14\", expect_size=\"50752512\"] \n  13 [size=\"25460736\", alpha=\"0.08\", expect_size=\"12730368\"] \n  13 -> 18 [size =\"12730368\"]\n  14 [size=\"14518272\", alpha=\"0.16\", expect_size=\"7259136\"] \n  15 [size=\"21884928\", alpha=\"0.12\", expect_size=\"10942464\"] \n  15 -> 16 [size =\"10942464\"]\n  15 -> 17 [size =\"10942464\"]\n  16 [size=\"44093440\", alpha=\"0.08\", expect_size=\"22046720\"] \n  16 -> 20 [size =\"22046720\"]\n  17 [size=\"65898496\", alpha=\"0.18\", expect_size=\"32949248\"] \n  17 -> 19 [size =\"32949248\"]\n  18 [size=\"77793280\", alpha=\"0.01\", expect_size=\"38896640\"] \n  18 -> 21 [size =\"38896640\"]\n  19 [size=\"24395776\", alpha=\"0.04\", expect_size=\"12197888\"] \n  19 -> 22 [size =\"12197888\"]\n  19 -> 23 [size =\"12197888\"]\n  20 [size=\"29972480\", alpha=\"0.09\", expect_size=\"14986240\"] \n  20 -> 22 [size =\"14986240\"]\n  21 [size=\"91875328\", alpha=\"0.15\", expect_size=\"45937664\"] \n  22 [size=\"77801472\", alpha=\"0.14\", expect_size=\"38900736\"] \n  23 [size=\"47269888\", alpha=\"0.07\", expect_size=\"23634944\"] \n  23 -> 24 [size =\"23634944\"]\n  23 -> 25 [size =\"23634944\"]\n  23 -> 26 [size =\"23634944\"]\n  24 [size=\"84039680\", alpha=\"0.15\", expect_size=\"42019840\"] \n  25 [size=\"66228224\", alpha=\"0.04\", expect_size=\"33114112\"] \n  25 -> 27 [size =\"33114112\"]\n  26 [size=\"26955776\", alpha=\"0.04\", expect_size=\"13477888\"] \n  26 -> 27 [size =\"13477888\"]\n  26 -> 28 [size =\"13477888\"]\n  27 [size=\"65132544\", alpha=\"0.02\", expect_size=\"32566272\"] \n  27 -> 29 [size =\"32566272\"]\n  27 -> 31 [size =\"32566272\"]\n  28 [size=\"57550848\", alpha=\"0.15\", expect_size=\"28775424\"] \n  28 -> 30 [size =\"28775424\"]\n  29 [size=\"60520448\", alpha=\"0.04\", expect_size=\"30260224\"] \n  29 -> 33 [size =\"30260224\"]\n  29 -> 34 [size =\"30260224\"]\n  30 [size=\"81500160\", alpha=\"0.19\", expect_size=\"40750080\"] \n  30 -> 32 [size =\"40750080\"]\n  30 -> 33 [size =\"40750080\"]\n  31 [size=\"31514624\", alpha=\"0.14\", expect_size=\"15757312\"] \n  31 -> 32 [size =\"15757312\"]\n  32 [size=\"104216576\", alpha=\"0.08\", expect_size=\"52108288\"] \n  33 [size=\"77709312\", alpha=\"0.06\", expect_size=\"38854656\"] \n  34 [size=\"18601984\", alpha=\"0.04\", expect_size=\"9300992\"] \n  34 -> 35 [size =\"9300992\"]\n  34 -> 36 [size =\"9300992\"]\n  35 [size=\"89348096\", alpha=\"0.05\", expect_size=\"44674048\"] \n  35 -> 38 [size =\"44674048\"]\n  36 [size=\"14794752\", alpha=\"0.13\", expect_size=\"7397376\"] \n  36 -> 37 [size =\"7397376\"]\n  36 -> 39 [size =\"7397376\"]\n  37 [size=\"34082816\", alpha=\"0.12\", expect_size=\"17041408\"] \n  38 [size=\"41285632\", alpha=\"0.06\", expect_size=\"20642816\"] \n  39 [size=\"17455104\", alpha=\"0.03\", expect_size=\"8727552\"] \n  39 -> 40 [size =\"8727552\"]\n  40 [size=\"34566144\", alpha=\"0.04\", expect_size=\"17283072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15972352\", alpha=\"0.03\", expect_size=\"7986176\"] \n  1 -> 16 [size =\"7986176\"]\n  1 -> 17 [size =\"7986176\"]\n  2 [size=\"27617280\", alpha=\"0.03\", expect_size=\"13808640\"] \n  2 -> 14 [size =\"13808640\"]\n  2 -> 15 [size =\"13808640\"]\n  2 -> 21 [size =\"13808640\"]\n  2 -> 23 [size =\"13808640\"]\n  3 [size=\"19165184\", alpha=\"0.17\", expect_size=\"9582592\"] \n  3 -> 13 [size =\"9582592\"]\n  3 -> 16 [size =\"9582592\"]\n  3 -> 17 [size =\"9582592\"]\n  3 -> 19 [size =\"9582592\"]\n  4 [size=\"25001984\", alpha=\"0.12\", expect_size=\"12500992\"] \n  4 -> 16 [size =\"12500992\"]\n  4 -> 19 [size =\"12500992\"]\n  5 [size=\"48918528\", alpha=\"0.17\", expect_size=\"24459264\"] \n  5 -> 16 [size =\"24459264\"]\n  5 -> 18 [size =\"24459264\"]\n  5 -> 19 [size =\"24459264\"]\n  6 [size=\"54214656\", alpha=\"0.16\", expect_size=\"27107328\"] \n  6 -> 14 [size =\"27107328\"]\n  6 -> 16 [size =\"27107328\"]\n  6 -> 17 [size =\"27107328\"]\n  6 -> 19 [size =\"27107328\"]\n  6 -> 22 [size =\"27107328\"]\n  7 [size=\"20029440\", alpha=\"0.07\", expect_size=\"10014720\"] \n  7 -> 13 [size =\"10014720\"]\n  7 -> 16 [size =\"10014720\"]\n  7 -> 17 [size =\"10014720\"]\n  8 [size=\"26378240\", alpha=\"0.09\", expect_size=\"13189120\"] \n  8 -> 17 [size =\"13189120\"]\n  8 -> 19 [size =\"13189120\"]\n  8 -> 22 [size =\"13189120\"]\n  9 [size=\"34670592\", alpha=\"0.19\", expect_size=\"17335296\"] \n  9 -> 15 [size =\"17335296\"]\n  9 -> 19 [size =\"17335296\"]\n  9 -> 24 [size =\"17335296\"]\n  10 [size=\"50212864\", alpha=\"0.01\", expect_size=\"25106432\"] \n  10 -> 19 [size =\"25106432\"]\n  10 -> 24 [size =\"25106432\"]\n  11 [size=\"95680512\", alpha=\"0.08\", expect_size=\"47840256\"] \n  11 -> 18 [size =\"47840256\"]\n  11 -> 20 [size =\"47840256\"]\n  11 -> 24 [size =\"47840256\"]\n  12 [size=\"14667776\", alpha=\"0.06\", expect_size=\"7333888\"] \n  12 -> 13 [size =\"7333888\"]\n  12 -> 14 [size =\"7333888\"]\n  12 -> 16 [size =\"7333888\"]\n  12 -> 22 [size =\"7333888\"]\n  12 -> 24 [size =\"7333888\"]\n  13 [size=\"26970112\", alpha=\"0.15\", expect_size=\"13485056\"] \n  13 -> 26 [size =\"13485056\"]\n  14 [size=\"13219840\", alpha=\"0.07\", expect_size=\"6609920\"] \n  14 -> 28 [size =\"6609920\"]\n  15 [size=\"70027264\", alpha=\"0.01\", expect_size=\"35013632\"] \n  15 -> 26 [size =\"35013632\"]\n  15 -> 28 [size =\"35013632\"]\n  15 -> 34 [size =\"35013632\"]\n  16 [size=\"55320576\", alpha=\"0.00\", expect_size=\"27660288\"] \n  16 -> 26 [size =\"27660288\"]\n  16 -> 27 [size =\"27660288\"]\n  16 -> 32 [size =\"27660288\"]\n  16 -> 33 [size =\"27660288\"]\n  16 -> 35 [size =\"27660288\"]\n  17 [size=\"36284416\", alpha=\"0.19\", expect_size=\"18142208\"] \n  17 -> 25 [size =\"18142208\"]\n  17 -> 28 [size =\"18142208\"]\n  17 -> 29 [size =\"18142208\"]\n  17 -> 32 [size =\"18142208\"]\n  17 -> 35 [size =\"18142208\"]\n  18 [size=\"68179968\", alpha=\"0.16\", expect_size=\"34089984\"] \n  18 -> 30 [size =\"34089984\"]\n  18 -> 32 [size =\"34089984\"]\n  18 -> 33 [size =\"34089984\"]\n  18 -> 35 [size =\"34089984\"]\n  19 [size=\"17463296\", alpha=\"0.13\", expect_size=\"8731648\"] \n  19 -> 28 [size =\"8731648\"]\n  19 -> 29 [size =\"8731648\"]\n  19 -> 30 [size =\"8731648\"]\n  19 -> 32 [size =\"8731648\"]\n  19 -> 35 [size =\"8731648\"]\n  20 [size=\"13621248\", alpha=\"0.18\", expect_size=\"6810624\"] \n  20 -> 25 [size =\"6810624\"]\n  20 -> 26 [size =\"6810624\"]\n  20 -> 28 [size =\"6810624\"]\n  20 -> 32 [size =\"6810624\"]\n  21 [size=\"19107840\", alpha=\"0.04\", expect_size=\"9553920\"] \n  21 -> 25 [size =\"9553920\"]\n  21 -> 26 [size =\"9553920\"]\n  21 -> 31 [size =\"9553920\"]\n  21 -> 32 [size =\"9553920\"]\n  22 [size=\"56100864\", alpha=\"0.14\", expect_size=\"28050432\"] \n  22 -> 26 [size =\"28050432\"]\n  22 -> 31 [size =\"28050432\"]\n  23 [size=\"85123072\", alpha=\"0.06\", expect_size=\"42561536\"] \n  23 -> 25 [size =\"42561536\"]\n  23 -> 28 [size =\"42561536\"]\n  23 -> 35 [size =\"42561536\"]\n  24 [size=\"61693952\", alpha=\"0.01\", expect_size=\"30846976\"] \n  24 -> 25 [size =\"30846976\"]\n  24 -> 27 [size =\"30846976\"]\n  25 [size=\"92461056\", alpha=\"0.04\", expect_size=\"46230528\"] \n  25 -> 36 [size =\"46230528\"]\n  25 -> 37 [size =\"46230528\"]\n  25 -> 38 [size =\"46230528\"]\n  26 [size=\"96446464\", alpha=\"0.16\", expect_size=\"48223232\"] \n  26 -> 36 [size =\"48223232\"]\n  26 -> 37 [size =\"48223232\"]\n  26 -> 38 [size =\"48223232\"]\n  26 -> 39 [size =\"48223232\"]\n  27 [size=\"96782336\", alpha=\"0.10\", expect_size=\"48391168\"] \n  27 -> 36 [size =\"48391168\"]\n  27 -> 38 [size =\"48391168\"]\n  28 [size=\"91846656\", alpha=\"0.08\", expect_size=\"45923328\"] \n  28 -> 39 [size =\"45923328\"]\n  29 [size=\"70615040\", alpha=\"0.10\", expect_size=\"35307520\"] \n  29 -> 38 [size =\"35307520\"]\n  29 -> 39 [size =\"35307520\"]\n  30 [size=\"38367232\", alpha=\"0.02\", expect_size=\"19183616\"] \n  30 -> 36 [size =\"19183616\"]\n  30 -> 37 [size =\"19183616\"]\n  30 -> 38 [size =\"19183616\"]\n  30 -> 39 [size =\"19183616\"]\n  30 -> 40 [size =\"19183616\"]\n  31 [size=\"30066688\", alpha=\"0.11\", expect_size=\"15033344\"] \n  31 -> 37 [size =\"15033344\"]\n  31 -> 38 [size =\"15033344\"]\n  31 -> 40 [size =\"15033344\"]\n  32 [size=\"51197952\", alpha=\"0.01\", expect_size=\"25598976\"] \n  32 -> 37 [size =\"25598976\"]\n  32 -> 39 [size =\"25598976\"]\n  32 -> 40 [size =\"25598976\"]\n  33 [size=\"24524800\", alpha=\"0.14\", expect_size=\"12262400\"] \n  33 -> 36 [size =\"12262400\"]\n  33 -> 37 [size =\"12262400\"]\n  34 [size=\"53098496\", alpha=\"0.09\", expect_size=\"26549248\"] \n  34 -> 38 [size =\"26549248\"]\n  34 -> 40 [size =\"26549248\"]\n  35 [size=\"57067520\", alpha=\"0.15\", expect_size=\"28533760\"] \n  35 -> 39 [size =\"28533760\"]\n  35 -> 40 [size =\"28533760\"]\n  36 [size=\"74862592\", alpha=\"0.12\", expect_size=\"37431296\"] \n  37 [size=\"55844864\", alpha=\"0.13\", expect_size=\"27922432\"] \n  38 [size=\"103931904\", alpha=\"0.07\", expect_size=\"51965952\"] \n  39 [size=\"46270464\", alpha=\"0.03\", expect_size=\"23135232\"] \n  40 [size=\"95789056\", alpha=\"0.19\", expect_size=\"47894528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34088960\", alpha=\"0.20\", expect_size=\"10226688\"] \n  1 -> 2 [size =\"10226688\"]\n  2 [size=\"58763947\", alpha=\"0.11\", expect_size=\"17629184\"] \n  2 -> 3 [size =\"17629184\"]\n  3 [size=\"62146560\", alpha=\"0.16\", expect_size=\"18643968\"] \n  3 -> 4 [size =\"18643968\"]\n  4 [size=\"19903147\", alpha=\"0.18\", expect_size=\"5970944\"] \n  4 -> 5 [size =\"5970944\"]\n  5 [size=\"162764800\", alpha=\"0.02\", expect_size=\"48829440\"] \n  5 -> 6 [size =\"48829440\"]\n  6 [size=\"131246080\", alpha=\"0.07\", expect_size=\"39373824\"] \n  6 -> 7 [size =\"39373824\"]\n  7 [size=\"30136320\", alpha=\"0.17\", expect_size=\"9040896\"] \n  7 -> 8 [size =\"9040896\"]\n  8 [size=\"139666773\", alpha=\"0.12\", expect_size=\"41900032\"] \n  8 -> 9 [size =\"41900032\"]\n  9 [size=\"45646507\", alpha=\"0.05\", expect_size=\"13693952\"] \n  9 -> 10 [size =\"13693952\"]\n  10 [size=\"73939627\", alpha=\"0.03\", expect_size=\"22181888\"] \n  10 -> 11 [size =\"22181888\"]\n  11 [size=\"28173653\", alpha=\"0.13\", expect_size=\"8452096\"] \n  11 -> 12 [size =\"8452096\"]\n  12 [size=\"25060693\", alpha=\"0.19\", expect_size=\"7518208\"] \n  12 -> 13 [size =\"7518208\"]\n  13 [size=\"110233600\", alpha=\"0.00\", expect_size=\"33070080\"] \n  13 -> 14 [size =\"33070080\"]\n  14 [size=\"77318827\", alpha=\"0.07\", expect_size=\"23195648\"] \n  14 -> 15 [size =\"23195648\"]\n  15 [size=\"61904213\", alpha=\"0.04\", expect_size=\"18571264\"] \n  15 -> 16 [size =\"18571264\"]\n  16 [size=\"76752213\", alpha=\"0.04\", expect_size=\"23025664\"] \n  16 -> 17 [size =\"23025664\"]\n  17 [size=\"131498667\", alpha=\"0.12\", expect_size=\"39449600\"] \n  17 -> 18 [size =\"39449600\"]\n  18 [size=\"110527147\", alpha=\"0.07\", expect_size=\"33158144\"] \n  18 -> 19 [size =\"33158144\"]\n  19 [size=\"44895573\", alpha=\"0.10\", expect_size=\"13468672\"] \n  19 -> 20 [size =\"13468672\"]\n  20 [size=\"80407893\", alpha=\"0.20\", expect_size=\"24122368\"] \n  20 -> 21 [size =\"24122368\"]\n  21 [size=\"102608213\", alpha=\"0.12\", expect_size=\"30782464\"] \n  21 -> 22 [size =\"30782464\"]\n  22 [size=\"50391040\", alpha=\"0.09\", expect_size=\"15117312\"] \n  22 -> 23 [size =\"15117312\"]\n  23 [size=\"42953387\", alpha=\"0.12\", expect_size=\"12886016\"] \n  23 -> 24 [size =\"12886016\"]\n  24 [size=\"44236800\", alpha=\"0.15\", expect_size=\"13271040\"] \n  24 -> 25 [size =\"13271040\"]\n  25 [size=\"99392853\", alpha=\"0.16\", expect_size=\"29817856\"] \n  25 -> 26 [size =\"29817856\"]\n  26 [size=\"130802347\", alpha=\"0.12\", expect_size=\"39240704\"] \n  26 -> 27 [size =\"39240704\"]\n  27 [size=\"158344533\", alpha=\"0.10\", expect_size=\"47503360\"] \n  27 -> 28 [size =\"47503360\"]\n  28 [size=\"94003200\", alpha=\"0.03\", expect_size=\"28200960\"] \n  28 -> 29 [size =\"28200960\"]\n  29 [size=\"145605973\", alpha=\"0.20\", expect_size=\"43681792\"] \n  29 -> 30 [size =\"43681792\"]\n  30 [size=\"68256427\", alpha=\"0.04\", expect_size=\"20476928\"] \n  30 -> 31 [size =\"20476928\"]\n  31 [size=\"67396267\", alpha=\"0.09\", expect_size=\"20218880\"] \n  31 -> 32 [size =\"20218880\"]\n  32 [size=\"159638187\", alpha=\"0.15\", expect_size=\"47891456\"] \n  32 -> 33 [size =\"47891456\"]\n  33 [size=\"71697067\", alpha=\"0.13\", expect_size=\"21509120\"] \n  33 -> 34 [size =\"21509120\"]\n  34 [size=\"162816000\", alpha=\"0.19\", expect_size=\"48844800\"] \n  34 -> 35 [size =\"48844800\"]\n  35 [size=\"120855893\", alpha=\"0.10\", expect_size=\"36256768\"] \n  35 -> 36 [size =\"36256768\"]\n  36 [size=\"91098453\", alpha=\"0.09\", expect_size=\"27329536\"] \n  36 -> 37 [size =\"27329536\"]\n  37 [size=\"30037333\", alpha=\"0.02\", expect_size=\"9011200\"] \n  37 -> 38 [size =\"9011200\"]\n  38 [size=\"107612160\", alpha=\"0.08\", expect_size=\"32283648\"] \n  38 -> 39 [size =\"32283648\"]\n  39 [size=\"131447467\", alpha=\"0.16\", expect_size=\"39434240\"] \n  39 -> 40 [size =\"39434240\"]\n  40 [size=\"129713493\", alpha=\"0.13\", expect_size=\"38914048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14824960\", alpha=\"0.03\", expect_size=\"5929984\"] \n  1 -> 2 [size =\"5929984\"]\n  2 [size=\"68469760\", alpha=\"0.04\", expect_size=\"27387904\"] \n  2 -> 3 [size =\"27387904\"]\n  3 [size=\"119782400\", alpha=\"0.19\", expect_size=\"47912960\"] \n  3 -> 4 [size =\"47912960\"]\n  4 [size=\"73871360\", alpha=\"0.04\", expect_size=\"29548544\"] \n  4 -> 5 [size =\"29548544\"]\n  5 [size=\"74826240\", alpha=\"0.13\", expect_size=\"29930496\"] \n  5 -> 6 [size =\"29930496\"]\n  6 [size=\"104104960\", alpha=\"0.16\", expect_size=\"41641984\"] \n  6 -> 7 [size =\"41641984\"]\n  7 [size=\"72852480\", alpha=\"0.18\", expect_size=\"29140992\"] \n  7 -> 8 [size =\"29140992\"]\n  8 [size=\"62497280\", alpha=\"0.01\", expect_size=\"24998912\"] \n  8 -> 9 [size =\"24998912\"]\n  9 [size=\"29416960\", alpha=\"0.20\", expect_size=\"11766784\"] \n  9 -> 10 [size =\"11766784\"]\n  10 [size=\"80637440\", alpha=\"0.06\", expect_size=\"32254976\"] \n  10 -> 11 [size =\"32254976\"]\n  11 [size=\"88739840\", alpha=\"0.14\", expect_size=\"35495936\"] \n  11 -> 12 [size =\"35495936\"]\n  12 [size=\"107243520\", alpha=\"0.20\", expect_size=\"42897408\"] \n  12 -> 13 [size =\"42897408\"]\n  13 [size=\"130032640\", alpha=\"0.18\", expect_size=\"52013056\"] \n  13 -> 14 [size =\"52013056\"]\n  14 [size=\"125450240\", alpha=\"0.08\", expect_size=\"50180096\"] \n  14 -> 15 [size =\"50180096\"]\n  15 [size=\"31720960\", alpha=\"0.06\", expect_size=\"12688384\"] \n  15 -> 16 [size =\"12688384\"]\n  16 [size=\"105589760\", alpha=\"0.16\", expect_size=\"42235904\"] \n  16 -> 17 [size =\"42235904\"]\n  17 [size=\"79984640\", alpha=\"0.08\", expect_size=\"31993856\"] \n  17 -> 18 [size =\"31993856\"]\n  18 [size=\"69340160\", alpha=\"0.14\", expect_size=\"27736064\"] \n  18 -> 19 [size =\"27736064\"]\n  19 [size=\"76026880\", alpha=\"0.09\", expect_size=\"30410752\"] \n  19 -> 20 [size =\"30410752\"]\n  20 [size=\"75399680\", alpha=\"0.16\", expect_size=\"30159872\"] \n  20 -> 21 [size =\"30159872\"]\n  21 [size=\"109655040\", alpha=\"0.02\", expect_size=\"43862016\"] \n  21 -> 22 [size =\"43862016\"]\n  22 [size=\"75584000\", alpha=\"0.18\", expect_size=\"30233600\"] \n  22 -> 23 [size =\"30233600\"]\n  23 [size=\"74073600\", alpha=\"0.13\", expect_size=\"29629440\"] \n  23 -> 24 [size =\"29629440\"]\n  24 [size=\"61109760\", alpha=\"0.17\", expect_size=\"24443904\"] \n  24 -> 25 [size =\"24443904\"]\n  25 [size=\"107778560\", alpha=\"0.12\", expect_size=\"43111424\"] \n  25 -> 26 [size =\"43111424\"]\n  26 [size=\"25661440\", alpha=\"0.02\", expect_size=\"10264576\"] \n  26 -> 27 [size =\"10264576\"]\n  27 [size=\"118417920\", alpha=\"0.03\", expect_size=\"47367168\"] \n  27 -> 28 [size =\"47367168\"]\n  28 [size=\"45463040\", alpha=\"0.12\", expect_size=\"18185216\"] \n  28 -> 29 [size =\"18185216\"]\n  29 [size=\"126289920\", alpha=\"0.03\", expect_size=\"50515968\"] \n  29 -> 30 [size =\"50515968\"]\n  30 [size=\"62156800\", alpha=\"0.06\", expect_size=\"24862720\"] \n  30 -> 31 [size =\"24862720\"]\n  31 [size=\"35873280\", alpha=\"0.02\", expect_size=\"14349312\"] \n  31 -> 32 [size =\"14349312\"]\n  32 [size=\"49157120\", alpha=\"0.14\", expect_size=\"19662848\"] \n  32 -> 33 [size =\"19662848\"]\n  33 [size=\"39403520\", alpha=\"0.06\", expect_size=\"15761408\"] \n  33 -> 34 [size =\"15761408\"]\n  34 [size=\"113290240\", alpha=\"0.17\", expect_size=\"45316096\"] \n  34 -> 35 [size =\"45316096\"]\n  35 [size=\"95654400\", alpha=\"0.11\", expect_size=\"38261760\"] \n  35 -> 36 [size =\"38261760\"]\n  36 [size=\"48217600\", alpha=\"0.00\", expect_size=\"19287040\"] \n  36 -> 37 [size =\"19287040\"]\n  37 [size=\"61975040\", alpha=\"0.01\", expect_size=\"24790016\"] \n  37 -> 38 [size =\"24790016\"]\n  38 [size=\"78709760\", alpha=\"0.12\", expect_size=\"31483904\"] \n  38 -> 39 [size =\"31483904\"]\n  39 [size=\"29847040\", alpha=\"0.13\", expect_size=\"11938816\"] \n  39 -> 40 [size =\"11938816\"]\n  40 [size=\"49664000\", alpha=\"0.04\", expect_size=\"19865600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96378880\", alpha=\"0.10\", expect_size=\"48189440\"] \n  1 -> 5 [size =\"48189440\"]\n  2 [size=\"49420288\", alpha=\"0.08\", expect_size=\"24710144\"] \n  3 [size=\"58830848\", alpha=\"0.08\", expect_size=\"29415424\"] \n  3 -> 5 [size =\"29415424\"]\n  3 -> 6 [size =\"29415424\"]\n  4 [size=\"34363392\", alpha=\"0.16\", expect_size=\"17181696\"] \n  4 -> 5 [size =\"17181696\"]\n  5 [size=\"68132864\", alpha=\"0.19\", expect_size=\"34066432\"] \n  6 [size=\"55754752\", alpha=\"0.09\", expect_size=\"27877376\"] \n  6 -> 7 [size =\"27877376\"]\n  6 -> 8 [size =\"27877376\"]\n  7 [size=\"23392256\", alpha=\"0.02\", expect_size=\"11696128\"] \n  7 -> 9 [size =\"11696128\"]\n  7 -> 11 [size =\"11696128\"]\n  8 [size=\"55984128\", alpha=\"0.15\", expect_size=\"27992064\"] \n  8 -> 10 [size =\"27992064\"]\n  9 [size=\"58613760\", alpha=\"0.13\", expect_size=\"29306880\"] \n  9 -> 13 [size =\"29306880\"]\n  10 [size=\"63584256\", alpha=\"0.01\", expect_size=\"31792128\"] \n  10 -> 12 [size =\"31792128\"]\n  11 [size=\"76873728\", alpha=\"0.14\", expect_size=\"38436864\"] \n  11 -> 12 [size =\"38436864\"]\n  11 -> 13 [size =\"38436864\"]\n  12 [size=\"31791104\", alpha=\"0.17\", expect_size=\"15895552\"] \n  12 -> 14 [size =\"15895552\"]\n  12 -> 15 [size =\"15895552\"]\n  12 -> 16 [size =\"15895552\"]\n  13 [size=\"69978112\", alpha=\"0.06\", expect_size=\"34989056\"] \n  14 [size=\"14174208\", alpha=\"0.16\", expect_size=\"7087104\"] \n  14 -> 18 [size =\"7087104\"]\n  15 [size=\"91027456\", alpha=\"0.12\", expect_size=\"45513728\"] \n  15 -> 18 [size =\"45513728\"]\n  16 [size=\"86499328\", alpha=\"0.10\", expect_size=\"43249664\"] \n  16 -> 17 [size =\"43249664\"]\n  17 [size=\"34105344\", alpha=\"0.19\", expect_size=\"17052672\"] \n  17 -> 21 [size =\"17052672\"]\n  17 -> 22 [size =\"17052672\"]\n  18 [size=\"44724224\", alpha=\"0.04\", expect_size=\"22362112\"] \n  18 -> 19 [size =\"22362112\"]\n  18 -> 20 [size =\"22362112\"]\n  18 -> 22 [size =\"22362112\"]\n  19 [size=\"22571008\", alpha=\"0.18\", expect_size=\"11285504\"] \n  20 [size=\"83185664\", alpha=\"0.11\", expect_size=\"41592832\"] \n  20 -> 23 [size =\"41592832\"]\n  20 -> 24 [size =\"41592832\"]\n  20 -> 25 [size =\"41592832\"]\n  21 [size=\"88375296\", alpha=\"0.02\", expect_size=\"44187648\"] \n  21 -> 24 [size =\"44187648\"]\n  22 [size=\"59850752\", alpha=\"0.01\", expect_size=\"29925376\"] \n  22 -> 23 [size =\"29925376\"]\n  23 [size=\"45879296\", alpha=\"0.11\", expect_size=\"22939648\"] \n  24 [size=\"76267520\", alpha=\"0.06\", expect_size=\"38133760\"] \n  25 [size=\"58793984\", alpha=\"0.13\", expect_size=\"29396992\"] \n  25 -> 26 [size =\"29396992\"]\n  26 [size=\"18737152\", alpha=\"0.09\", expect_size=\"9368576\"] \n  26 -> 27 [size =\"9368576\"]\n  26 -> 28 [size =\"9368576\"]\n  27 [size=\"66572288\", alpha=\"0.08\", expect_size=\"33286144\"] \n  27 -> 31 [size =\"33286144\"]\n  27 -> 32 [size =\"33286144\"]\n  28 [size=\"60399616\", alpha=\"0.17\", expect_size=\"30199808\"] \n  28 -> 29 [size =\"30199808\"]\n  28 -> 30 [size =\"30199808\"]\n  29 [size=\"80021504\", alpha=\"0.16\", expect_size=\"40010752\"] \n  29 -> 33 [size =\"40010752\"]\n  30 [size=\"70748160\", alpha=\"0.06\", expect_size=\"35374080\"] \n  31 [size=\"27990016\", alpha=\"0.11\", expect_size=\"13995008\"] \n  32 [size=\"37644288\", alpha=\"0.20\", expect_size=\"18822144\"] \n  33 [size=\"44275712\", alpha=\"0.01\", expect_size=\"22137856\"] \n  33 -> 34 [size =\"22137856\"]\n  33 -> 35 [size =\"22137856\"]\n  33 -> 36 [size =\"22137856\"]\n  33 -> 37 [size =\"22137856\"]\n  34 [size=\"96227328\", alpha=\"0.04\", expect_size=\"48113664\"] \n  34 -> 38 [size =\"48113664\"]\n  35 [size=\"28637184\", alpha=\"0.03\", expect_size=\"14318592\"] \n  35 -> 39 [size =\"14318592\"]\n  36 [size=\"87896064\", alpha=\"0.18\", expect_size=\"43948032\"] \n  37 [size=\"36157440\", alpha=\"0.19\", expect_size=\"18078720\"] \n  38 [size=\"75073536\", alpha=\"0.07\", expect_size=\"37536768\"] \n  38 -> 40 [size =\"37536768\"]\n  39 [size=\"61399040\", alpha=\"0.17\", expect_size=\"30699520\"] \n  40 [size=\"43261952\", alpha=\"0.03\", expect_size=\"21630976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80709632\", alpha=\"0.13\", expect_size=\"40354816\"] \n  1 -> 6 [size =\"40354816\"]\n  1 -> 7 [size =\"40354816\"]\n  1 -> 8 [size =\"40354816\"]\n  1 -> 10 [size =\"40354816\"]\n  2 [size=\"49217536\", alpha=\"0.19\", expect_size=\"24608768\"] \n  2 -> 8 [size =\"24608768\"]\n  2 -> 10 [size =\"24608768\"]\n  3 [size=\"12171264\", alpha=\"0.10\", expect_size=\"6085632\"] \n  4 [size=\"38291456\", alpha=\"0.18\", expect_size=\"19145728\"] \n  4 -> 7 [size =\"19145728\"]\n  4 -> 9 [size =\"19145728\"]\n  5 [size=\"94189568\", alpha=\"0.16\", expect_size=\"47094784\"] \n  5 -> 7 [size =\"47094784\"]\n  5 -> 10 [size =\"47094784\"]\n  6 [size=\"25653248\", alpha=\"0.01\", expect_size=\"12826624\"] \n  6 -> 14 [size =\"12826624\"]\n  7 [size=\"17438720\", alpha=\"0.16\", expect_size=\"8719360\"] \n  7 -> 11 [size =\"8719360\"]\n  7 -> 13 [size =\"8719360\"]\n  7 -> 15 [size =\"8719360\"]\n  8 [size=\"81416192\", alpha=\"0.02\", expect_size=\"40708096\"] \n  8 -> 13 [size =\"40708096\"]\n  8 -> 14 [size =\"40708096\"]\n  9 [size=\"19679232\", alpha=\"0.00\", expect_size=\"9839616\"] \n  9 -> 11 [size =\"9839616\"]\n  9 -> 12 [size =\"9839616\"]\n  10 [size=\"34643968\", alpha=\"0.16\", expect_size=\"17321984\"] \n  10 -> 14 [size =\"17321984\"]\n  11 [size=\"76834816\", alpha=\"0.09\", expect_size=\"38417408\"] \n  11 -> 17 [size =\"38417408\"]\n  11 -> 18 [size =\"38417408\"]\n  11 -> 19 [size =\"38417408\"]\n  11 -> 20 [size =\"38417408\"]\n  12 [size=\"43159552\", alpha=\"0.14\", expect_size=\"21579776\"] \n  12 -> 20 [size =\"21579776\"]\n  13 [size=\"39161856\", alpha=\"0.11\", expect_size=\"19580928\"] \n  13 -> 16 [size =\"19580928\"]\n  13 -> 20 [size =\"19580928\"]\n  14 [size=\"85276672\", alpha=\"0.01\", expect_size=\"42638336\"] \n  14 -> 21 [size =\"42638336\"]\n  15 [size=\"78147584\", alpha=\"0.13\", expect_size=\"39073792\"] \n  15 -> 16 [size =\"39073792\"]\n  15 -> 17 [size =\"39073792\"]\n  16 [size=\"59842560\", alpha=\"0.17\", expect_size=\"29921280\"] \n  16 -> 23 [size =\"29921280\"]\n  17 [size=\"62656512\", alpha=\"0.09\", expect_size=\"31328256\"] \n  17 -> 22 [size =\"31328256\"]\n  17 -> 23 [size =\"31328256\"]\n  18 [size=\"43218944\", alpha=\"0.02\", expect_size=\"21609472\"] \n  18 -> 22 [size =\"21609472\"]\n  18 -> 25 [size =\"21609472\"]\n  19 [size=\"53155840\", alpha=\"0.03\", expect_size=\"26577920\"] \n  19 -> 24 [size =\"26577920\"]\n  19 -> 25 [size =\"26577920\"]\n  20 [size=\"53469184\", alpha=\"0.07\", expect_size=\"26734592\"] \n  20 -> 26 [size =\"26734592\"]\n  21 [size=\"35139584\", alpha=\"0.06\", expect_size=\"17569792\"] \n  21 -> 22 [size =\"17569792\"]\n  22 [size=\"76476416\", alpha=\"0.13\", expect_size=\"38238208\"] \n  22 -> 27 [size =\"38238208\"]\n  22 -> 30 [size =\"38238208\"]\n  23 [size=\"47499264\", alpha=\"0.01\", expect_size=\"23749632\"] \n  23 -> 28 [size =\"23749632\"]\n  23 -> 29 [size =\"23749632\"]\n  24 [size=\"98861056\", alpha=\"0.14\", expect_size=\"49430528\"] \n  24 -> 28 [size =\"49430528\"]\n  24 -> 31 [size =\"49430528\"]\n  25 [size=\"102455296\", alpha=\"0.06\", expect_size=\"51227648\"] \n  25 -> 27 [size =\"51227648\"]\n  25 -> 29 [size =\"51227648\"]\n  25 -> 31 [size =\"51227648\"]\n  26 [size=\"69488640\", alpha=\"0.20\", expect_size=\"34744320\"] \n  26 -> 27 [size =\"34744320\"]\n  26 -> 29 [size =\"34744320\"]\n  26 -> 30 [size =\"34744320\"]\n  27 [size=\"55652352\", alpha=\"0.16\", expect_size=\"27826176\"] \n  27 -> 34 [size =\"27826176\"]\n  27 -> 36 [size =\"27826176\"]\n  28 [size=\"100382720\", alpha=\"0.07\", expect_size=\"50191360\"] \n  28 -> 32 [size =\"50191360\"]\n  28 -> 34 [size =\"50191360\"]\n  28 -> 35 [size =\"50191360\"]\n  28 -> 36 [size =\"50191360\"]\n  28 -> 37 [size =\"50191360\"]\n  29 [size=\"16568320\", alpha=\"0.20\", expect_size=\"8284160\"] \n  29 -> 33 [size =\"8284160\"]\n  29 -> 34 [size =\"8284160\"]\n  29 -> 36 [size =\"8284160\"]\n  30 [size=\"31791104\", alpha=\"0.18\", expect_size=\"15895552\"] \n  31 [size=\"66308096\", alpha=\"0.10\", expect_size=\"33154048\"] \n  31 -> 32 [size =\"33154048\"]\n  31 -> 37 [size =\"33154048\"]\n  32 [size=\"95969280\", alpha=\"0.08\", expect_size=\"47984640\"] \n  32 -> 38 [size =\"47984640\"]\n  33 [size=\"65138688\", alpha=\"0.14\", expect_size=\"32569344\"] \n  33 -> 38 [size =\"32569344\"]\n  34 [size=\"69871616\", alpha=\"0.14\", expect_size=\"34935808\"] \n  35 [size=\"43603968\", alpha=\"0.10\", expect_size=\"21801984\"] \n  35 -> 40 [size =\"21801984\"]\n  36 [size=\"70039552\", alpha=\"0.15\", expect_size=\"35019776\"] \n  36 -> 39 [size =\"35019776\"]\n  37 [size=\"69976064\", alpha=\"0.12\", expect_size=\"34988032\"] \n  37 -> 38 [size =\"34988032\"]\n  37 -> 39 [size =\"34988032\"]\n  37 -> 40 [size =\"34988032\"]\n  38 [size=\"50366464\", alpha=\"0.16\", expect_size=\"25183232\"] \n  39 [size=\"82141184\", alpha=\"0.08\", expect_size=\"41070592\"] \n  40 [size=\"80125952\", alpha=\"0.10\", expect_size=\"40062976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43911168\", alpha=\"0.03\", expect_size=\"21955584\"] \n  1 -> 8 [size =\"21955584\"]\n  1 -> 11 [size =\"21955584\"]\n  2 [size=\"32481280\", alpha=\"0.01\", expect_size=\"16240640\"] \n  2 -> 7 [size =\"16240640\"]\n  2 -> 8 [size =\"16240640\"]\n  2 -> 11 [size =\"16240640\"]\n  3 [size=\"104828928\", alpha=\"0.07\", expect_size=\"52414464\"] \n  3 -> 8 [size =\"52414464\"]\n  3 -> 9 [size =\"52414464\"]\n  3 -> 10 [size =\"52414464\"]\n  3 -> 11 [size =\"52414464\"]\n  4 [size=\"88012800\", alpha=\"0.05\", expect_size=\"44006400\"] \n  4 -> 7 [size =\"44006400\"]\n  4 -> 10 [size =\"44006400\"]\n  5 [size=\"60473344\", alpha=\"0.04\", expect_size=\"30236672\"] \n  5 -> 7 [size =\"30236672\"]\n  5 -> 8 [size =\"30236672\"]\n  5 -> 10 [size =\"30236672\"]\n  5 -> 11 [size =\"30236672\"]\n  5 -> 12 [size =\"30236672\"]\n  6 [size=\"48291840\", alpha=\"0.10\", expect_size=\"24145920\"] \n  6 -> 10 [size =\"24145920\"]\n  6 -> 11 [size =\"24145920\"]\n  7 [size=\"103958528\", alpha=\"0.10\", expect_size=\"51979264\"] \n  7 -> 13 [size =\"51979264\"]\n  7 -> 17 [size =\"51979264\"]\n  8 [size=\"93165568\", alpha=\"0.00\", expect_size=\"46582784\"] \n  8 -> 14 [size =\"46582784\"]\n  8 -> 15 [size =\"46582784\"]\n  8 -> 17 [size =\"46582784\"]\n  9 [size=\"62164992\", alpha=\"0.11\", expect_size=\"31082496\"] \n  9 -> 13 [size =\"31082496\"]\n  9 -> 15 [size =\"31082496\"]\n  9 -> 17 [size =\"31082496\"]\n  10 [size=\"17446912\", alpha=\"0.11\", expect_size=\"8723456\"] \n  10 -> 13 [size =\"8723456\"]\n  10 -> 14 [size =\"8723456\"]\n  10 -> 17 [size =\"8723456\"]\n  11 [size=\"20908032\", alpha=\"0.17\", expect_size=\"10454016\"] \n  11 -> 16 [size =\"10454016\"]\n  11 -> 17 [size =\"10454016\"]\n  12 [size=\"36165632\", alpha=\"0.19\", expect_size=\"18082816\"] \n  12 -> 13 [size =\"18082816\"]\n  12 -> 15 [size =\"18082816\"]\n  12 -> 16 [size =\"18082816\"]\n  13 [size=\"41908224\", alpha=\"0.04\", expect_size=\"20954112\"] \n  13 -> 18 [size =\"20954112\"]\n  14 [size=\"75091968\", alpha=\"0.12\", expect_size=\"37545984\"] \n  14 -> 19 [size =\"37545984\"]\n  14 -> 20 [size =\"37545984\"]\n  14 -> 22 [size =\"37545984\"]\n  15 [size=\"98502656\", alpha=\"0.16\", expect_size=\"49251328\"] \n  15 -> 21 [size =\"49251328\"]\n  15 -> 22 [size =\"49251328\"]\n  15 -> 23 [size =\"49251328\"]\n  16 [size=\"24119296\", alpha=\"0.19\", expect_size=\"12059648\"] \n  16 -> 21 [size =\"12059648\"]\n  16 -> 22 [size =\"12059648\"]\n  17 [size=\"70252544\", alpha=\"0.10\", expect_size=\"35126272\"] \n  17 -> 18 [size =\"35126272\"]\n  17 -> 21 [size =\"35126272\"]\n  18 [size=\"21157888\", alpha=\"0.07\", expect_size=\"10578944\"] \n  18 -> 25 [size =\"10578944\"]\n  18 -> 26 [size =\"10578944\"]\n  19 [size=\"21921792\", alpha=\"0.05\", expect_size=\"10960896\"] \n  19 -> 27 [size =\"10960896\"]\n  19 -> 28 [size =\"10960896\"]\n  20 [size=\"73510912\", alpha=\"0.04\", expect_size=\"36755456\"] \n  20 -> 24 [size =\"36755456\"]\n  20 -> 28 [size =\"36755456\"]\n  20 -> 29 [size =\"36755456\"]\n  21 [size=\"33073152\", alpha=\"0.11\", expect_size=\"16536576\"] \n  21 -> 24 [size =\"16536576\"]\n  21 -> 27 [size =\"16536576\"]\n  21 -> 28 [size =\"16536576\"]\n  21 -> 29 [size =\"16536576\"]\n  22 [size=\"21131264\", alpha=\"0.02\", expect_size=\"10565632\"] \n  22 -> 24 [size =\"10565632\"]\n  22 -> 25 [size =\"10565632\"]\n  22 -> 26 [size =\"10565632\"]\n  23 [size=\"14653440\", alpha=\"0.14\", expect_size=\"7326720\"] \n  23 -> 25 [size =\"7326720\"]\n  23 -> 28 [size =\"7326720\"]\n  23 -> 29 [size =\"7326720\"]\n  24 [size=\"33740800\", alpha=\"0.02\", expect_size=\"16870400\"] \n  24 -> 30 [size =\"16870400\"]\n  24 -> 32 [size =\"16870400\"]\n  24 -> 33 [size =\"16870400\"]\n  25 [size=\"88750080\", alpha=\"0.20\", expect_size=\"44375040\"] \n  25 -> 30 [size =\"44375040\"]\n  26 [size=\"70273024\", alpha=\"0.06\", expect_size=\"35136512\"] \n  26 -> 30 [size =\"35136512\"]\n  26 -> 34 [size =\"35136512\"]\n  27 [size=\"67092480\", alpha=\"0.13\", expect_size=\"33546240\"] \n  27 -> 30 [size =\"33546240\"]\n  28 [size=\"17815552\", alpha=\"0.16\", expect_size=\"8907776\"] \n  28 -> 33 [size =\"8907776\"]\n  28 -> 34 [size =\"8907776\"]\n  29 [size=\"50593792\", alpha=\"0.11\", expect_size=\"25296896\"] \n  29 -> 30 [size =\"25296896\"]\n  29 -> 31 [size =\"25296896\"]\n  30 [size=\"72595456\", alpha=\"0.07\", expect_size=\"36297728\"] \n  30 -> 35 [size =\"36297728\"]\n  30 -> 38 [size =\"36297728\"]\n  30 -> 39 [size =\"36297728\"]\n  31 [size=\"92874752\", alpha=\"0.06\", expect_size=\"46437376\"] \n  31 -> 36 [size =\"46437376\"]\n  32 [size=\"50487296\", alpha=\"0.09\", expect_size=\"25243648\"] \n  32 -> 36 [size =\"25243648\"]\n  33 [size=\"61800448\", alpha=\"0.20\", expect_size=\"30900224\"] \n  33 -> 35 [size =\"30900224\"]\n  33 -> 36 [size =\"30900224\"]\n  33 -> 39 [size =\"30900224\"]\n  34 [size=\"32413696\", alpha=\"0.04\", expect_size=\"16206848\"] \n  34 -> 35 [size =\"16206848\"]\n  34 -> 36 [size =\"16206848\"]\n  34 -> 37 [size =\"16206848\"]\n  34 -> 38 [size =\"16206848\"]\n  34 -> 39 [size =\"16206848\"]\n  35 [size=\"39860224\", alpha=\"0.07\", expect_size=\"19930112\"] \n  36 [size=\"39755776\", alpha=\"0.13\", expect_size=\"19877888\"] \n  37 [size=\"69906432\", alpha=\"0.11\", expect_size=\"34953216\"] \n  37 -> 40 [size =\"34953216\"]\n  38 [size=\"35041280\", alpha=\"0.12\", expect_size=\"17520640\"] \n  38 -> 40 [size =\"17520640\"]\n  39 [size=\"17840128\", alpha=\"0.15\", expect_size=\"8920064\"] \n  40 [size=\"69986304\", alpha=\"0.11\", expect_size=\"34993152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90791253\", alpha=\"0.04\", expect_size=\"27237376\"] \n  1 -> 6 [size =\"27237376\"]\n  1 -> 9 [size =\"27237376\"]\n  1 -> 10 [size =\"27237376\"]\n  1 -> 11 [size =\"27237376\"]\n  2 [size=\"26658133\", alpha=\"0.03\", expect_size=\"7997440\"] \n  2 -> 11 [size =\"7997440\"]\n  2 -> 12 [size =\"7997440\"]\n  3 [size=\"172421120\", alpha=\"0.04\", expect_size=\"51726336\"] \n  3 -> 8 [size =\"51726336\"]\n  3 -> 9 [size =\"51726336\"]\n  3 -> 12 [size =\"51726336\"]\n  4 [size=\"151661227\", alpha=\"0.02\", expect_size=\"45498368\"] \n  4 -> 11 [size =\"45498368\"]\n  5 [size=\"45564587\", alpha=\"0.02\", expect_size=\"13669376\"] \n  5 -> 7 [size =\"13669376\"]\n  5 -> 9 [size =\"13669376\"]\n  5 -> 10 [size =\"13669376\"]\n  6 [size=\"40806400\", alpha=\"0.09\", expect_size=\"12241920\"] \n  7 [size=\"83070293\", alpha=\"0.03\", expect_size=\"24921088\"] \n  7 -> 16 [size =\"24921088\"]\n  8 [size=\"98109440\", alpha=\"0.08\", expect_size=\"29432832\"] \n  8 -> 13 [size =\"29432832\"]\n  8 -> 14 [size =\"29432832\"]\n  8 -> 15 [size =\"29432832\"]\n  8 -> 16 [size =\"29432832\"]\n  9 [size=\"98078720\", alpha=\"0.12\", expect_size=\"29423616\"] \n  9 -> 16 [size =\"29423616\"]\n  10 [size=\"160467627\", alpha=\"0.17\", expect_size=\"48140288\"] \n  10 -> 17 [size =\"48140288\"]\n  10 -> 18 [size =\"48140288\"]\n  11 [size=\"23548587\", alpha=\"0.16\", expect_size=\"7064576\"] \n  11 -> 17 [size =\"7064576\"]\n  11 -> 18 [size =\"7064576\"]\n  12 [size=\"52442453\", alpha=\"0.13\", expect_size=\"15732736\"] \n  12 -> 18 [size =\"15732736\"]\n  13 [size=\"78834347\", alpha=\"0.07\", expect_size=\"23650304\"] \n  14 [size=\"113206613\", alpha=\"0.12\", expect_size=\"33961984\"] \n  14 -> 19 [size =\"33961984\"]\n  15 [size=\"125112320\", alpha=\"0.19\", expect_size=\"37533696\"] \n  15 -> 19 [size =\"37533696\"]\n  15 -> 21 [size =\"37533696\"]\n  16 [size=\"144233813\", alpha=\"0.01\", expect_size=\"43270144\"] \n  16 -> 20 [size =\"43270144\"]\n  16 -> 21 [size =\"43270144\"]\n  17 [size=\"57982293\", alpha=\"0.09\", expect_size=\"17394688\"] \n  18 [size=\"84558507\", alpha=\"0.11\", expect_size=\"25367552\"] \n  18 -> 19 [size =\"25367552\"]\n  18 -> 21 [size =\"25367552\"]\n  18 -> 22 [size =\"25367552\"]\n  19 [size=\"149633707\", alpha=\"0.06\", expect_size=\"44890112\"] \n  19 -> 25 [size =\"44890112\"]\n  19 -> 27 [size =\"44890112\"]\n  20 [size=\"85466453\", alpha=\"0.11\", expect_size=\"25639936\"] \n  20 -> 27 [size =\"25639936\"]\n  21 [size=\"60016640\", alpha=\"0.05\", expect_size=\"18004992\"] \n  21 -> 24 [size =\"18004992\"]\n  21 -> 26 [size =\"18004992\"]\n  22 [size=\"29893973\", alpha=\"0.01\", expect_size=\"8968192\"] \n  22 -> 23 [size =\"8968192\"]\n  23 [size=\"134918827\", alpha=\"0.17\", expect_size=\"40475648\"] \n  23 -> 32 [size =\"40475648\"]\n  23 -> 33 [size =\"40475648\"]\n  24 [size=\"33686187\", alpha=\"0.09\", expect_size=\"10105856\"] \n  24 -> 28 [size =\"10105856\"]\n  24 -> 29 [size =\"10105856\"]\n  24 -> 30 [size =\"10105856\"]\n  25 [size=\"131461120\", alpha=\"0.05\", expect_size=\"39438336\"] \n  25 -> 31 [size =\"39438336\"]\n  25 -> 33 [size =\"39438336\"]\n  26 [size=\"123514880\", alpha=\"0.04\", expect_size=\"37054464\"] \n  26 -> 33 [size =\"37054464\"]\n  27 [size=\"134311253\", alpha=\"0.11\", expect_size=\"40293376\"] \n  27 -> 28 [size =\"40293376\"]\n  27 -> 31 [size =\"40293376\"]\n  28 [size=\"50793813\", alpha=\"0.09\", expect_size=\"15238144\"] \n  28 -> 38 [size =\"15238144\"]\n  29 [size=\"140209493\", alpha=\"0.17\", expect_size=\"42062848\"] \n  29 -> 38 [size =\"42062848\"]\n  30 [size=\"28504747\", alpha=\"0.03\", expect_size=\"8551424\"] \n  30 -> 34 [size =\"8551424\"]\n  31 [size=\"114885973\", alpha=\"0.10\", expect_size=\"34465792\"] \n  31 -> 34 [size =\"34465792\"]\n  31 -> 35 [size =\"34465792\"]\n  31 -> 36 [size =\"34465792\"]\n  32 [size=\"158105600\", alpha=\"0.01\", expect_size=\"47431680\"] \n  32 -> 36 [size =\"47431680\"]\n  32 -> 37 [size =\"47431680\"]\n  32 -> 38 [size =\"47431680\"]\n  33 [size=\"167345493\", alpha=\"0.20\", expect_size=\"50203648\"] \n  33 -> 36 [size =\"50203648\"]\n  34 [size=\"140267520\", alpha=\"0.11\", expect_size=\"42080256\"] \n  34 -> 39 [size =\"42080256\"]\n  34 -> 40 [size =\"42080256\"]\n  35 [size=\"53770240\", alpha=\"0.16\", expect_size=\"16131072\"] \n  35 -> 39 [size =\"16131072\"]\n  36 [size=\"93228373\", alpha=\"0.17\", expect_size=\"27968512\"] \n  36 -> 40 [size =\"27968512\"]\n  37 [size=\"124692480\", alpha=\"0.03\", expect_size=\"37407744\"] \n  37 -> 40 [size =\"37407744\"]\n  38 [size=\"56470187\", alpha=\"0.18\", expect_size=\"16941056\"] \n  39 [size=\"126477653\", alpha=\"0.09\", expect_size=\"37943296\"] \n  40 [size=\"100754773\", alpha=\"0.09\", expect_size=\"30226432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82616320\", alpha=\"0.03\", expect_size=\"33046528\"] \n  2 [size=\"120337920\", alpha=\"0.19\", expect_size=\"48135168\"] \n  2 -> 3 [size =\"48135168\"]\n  2 -> 4 [size =\"48135168\"]\n  2 -> 5 [size =\"48135168\"]\n  3 [size=\"17758720\", alpha=\"0.02\", expect_size=\"7103488\"] \n  3 -> 6 [size =\"7103488\"]\n  3 -> 8 [size =\"7103488\"]\n  4 [size=\"63331840\", alpha=\"0.16\", expect_size=\"25332736\"] \n  4 -> 7 [size =\"25332736\"]\n  4 -> 8 [size =\"25332736\"]\n  5 [size=\"116154880\", alpha=\"0.07\", expect_size=\"46461952\"] \n  5 -> 7 [size =\"46461952\"]\n  6 [size=\"53207040\", alpha=\"0.02\", expect_size=\"21282816\"] \n  6 -> 10 [size =\"21282816\"]\n  7 [size=\"32491520\", alpha=\"0.01\", expect_size=\"12996608\"] \n  7 -> 10 [size =\"12996608\"]\n  7 -> 11 [size =\"12996608\"]\n  8 [size=\"88560640\", alpha=\"0.03\", expect_size=\"35424256\"] \n  8 -> 9 [size =\"35424256\"]\n  8 -> 11 [size =\"35424256\"]\n  9 [size=\"47052800\", alpha=\"0.01\", expect_size=\"18821120\"] \n  10 [size=\"67348480\", alpha=\"0.10\", expect_size=\"26939392\"] \n  10 -> 13 [size =\"26939392\"]\n  11 [size=\"81497600\", alpha=\"0.18\", expect_size=\"32599040\"] \n  11 -> 12 [size =\"32599040\"]\n  11 -> 13 [size =\"32599040\"]\n  12 [size=\"101079040\", alpha=\"0.05\", expect_size=\"40431616\"] \n  12 -> 16 [size =\"40431616\"]\n  13 [size=\"95549440\", alpha=\"0.13\", expect_size=\"38219776\"] \n  13 -> 14 [size =\"38219776\"]\n  13 -> 15 [size =\"38219776\"]\n  14 [size=\"107110400\", alpha=\"0.20\", expect_size=\"42844160\"] \n  15 [size=\"85196800\", alpha=\"0.03\", expect_size=\"34078720\"] \n  16 [size=\"127416320\", alpha=\"0.02\", expect_size=\"50966528\"] \n  16 -> 17 [size =\"50966528\"]\n  16 -> 18 [size =\"50966528\"]\n  17 [size=\"19942400\", alpha=\"0.07\", expect_size=\"7976960\"] \n  17 -> 19 [size =\"7976960\"]\n  17 -> 20 [size =\"7976960\"]\n  18 [size=\"28564480\", alpha=\"0.17\", expect_size=\"11425792\"] \n  18 -> 19 [size =\"11425792\"]\n  18 -> 20 [size =\"11425792\"]\n  19 [size=\"46863360\", alpha=\"0.00\", expect_size=\"18745344\"] \n  19 -> 21 [size =\"18745344\"]\n  19 -> 22 [size =\"18745344\"]\n  20 [size=\"51911680\", alpha=\"0.19\", expect_size=\"20764672\"] \n  21 [size=\"112934400\", alpha=\"0.10\", expect_size=\"45173760\"] \n  21 -> 23 [size =\"45173760\"]\n  21 -> 24 [size =\"45173760\"]\n  22 [size=\"101839360\", alpha=\"0.19\", expect_size=\"40735744\"] \n  22 -> 24 [size =\"40735744\"]\n  22 -> 25 [size =\"40735744\"]\n  23 [size=\"129815040\", alpha=\"0.09\", expect_size=\"51926016\"] \n  23 -> 27 [size =\"51926016\"]\n  23 -> 28 [size =\"51926016\"]\n  24 [size=\"86960640\", alpha=\"0.08\", expect_size=\"34784256\"] \n  24 -> 26 [size =\"34784256\"]\n  24 -> 27 [size =\"34784256\"]\n  25 [size=\"85038080\", alpha=\"0.03\", expect_size=\"34015232\"] \n  25 -> 26 [size =\"34015232\"]\n  25 -> 28 [size =\"34015232\"]\n  26 [size=\"101099520\", alpha=\"0.06\", expect_size=\"40439808\"] \n  26 -> 30 [size =\"40439808\"]\n  27 [size=\"114869760\", alpha=\"0.12\", expect_size=\"45947904\"] \n  27 -> 31 [size =\"45947904\"]\n  28 [size=\"39936000\", alpha=\"0.11\", expect_size=\"15974400\"] \n  28 -> 29 [size =\"15974400\"]\n  29 [size=\"20579840\", alpha=\"0.15\", expect_size=\"8231936\"] \n  29 -> 32 [size =\"8231936\"]\n  30 [size=\"22254080\", alpha=\"0.09\", expect_size=\"8901632\"] \n  30 -> 33 [size =\"8901632\"]\n  31 [size=\"18677760\", alpha=\"0.14\", expect_size=\"7471104\"] \n  32 [size=\"79362560\", alpha=\"0.14\", expect_size=\"31745024\"] \n  32 -> 34 [size =\"31745024\"]\n  32 -> 36 [size =\"31745024\"]\n  33 [size=\"75607040\", alpha=\"0.09\", expect_size=\"30242816\"] \n  33 -> 35 [size =\"30242816\"]\n  34 [size=\"130032640\", alpha=\"0.19\", expect_size=\"52013056\"] \n  35 [size=\"56936960\", alpha=\"0.01\", expect_size=\"22774784\"] \n  35 -> 37 [size =\"22774784\"]\n  35 -> 38 [size =\"22774784\"]\n  36 [size=\"77329920\", alpha=\"0.03\", expect_size=\"30931968\"] \n  36 -> 37 [size =\"30931968\"]\n  37 [size=\"113349120\", alpha=\"0.06\", expect_size=\"45339648\"] \n  37 -> 40 [size =\"45339648\"]\n  38 [size=\"66414080\", alpha=\"0.11\", expect_size=\"26565632\"] \n  38 -> 39 [size =\"26565632\"]\n  38 -> 40 [size =\"26565632\"]\n  39 [size=\"129948160\", alpha=\"0.02\", expect_size=\"51979264\"] \n  40 [size=\"101967360\", alpha=\"0.00\", expect_size=\"40786944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87902720\", alpha=\"0.04\", expect_size=\"35161088\"] \n  1 -> 16 [size =\"35161088\"]\n  1 -> 18 [size =\"35161088\"]\n  1 -> 20 [size =\"35161088\"]\n  1 -> 25 [size =\"35161088\"]\n  2 [size=\"49838080\", alpha=\"0.06\", expect_size=\"19935232\"] \n  2 -> 14 [size =\"19935232\"]\n  2 -> 15 [size =\"19935232\"]\n  2 -> 22 [size =\"19935232\"]\n  2 -> 25 [size =\"19935232\"]\n  3 [size=\"39531520\", alpha=\"0.09\", expect_size=\"15812608\"] \n  3 -> 14 [size =\"15812608\"]\n  3 -> 15 [size =\"15812608\"]\n  3 -> 16 [size =\"15812608\"]\n  3 -> 22 [size =\"15812608\"]\n  3 -> 24 [size =\"15812608\"]\n  3 -> 25 [size =\"15812608\"]\n  4 [size=\"57715200\", alpha=\"0.11\", expect_size=\"23086080\"] \n  4 -> 15 [size =\"23086080\"]\n  4 -> 16 [size =\"23086080\"]\n  4 -> 17 [size =\"23086080\"]\n  4 -> 22 [size =\"23086080\"]\n  5 [size=\"66109440\", alpha=\"0.01\", expect_size=\"26443776\"] \n  5 -> 16 [size =\"26443776\"]\n  5 -> 21 [size =\"26443776\"]\n  5 -> 25 [size =\"26443776\"]\n  6 [size=\"99074560\", alpha=\"0.11\", expect_size=\"39629824\"] \n  6 -> 16 [size =\"39629824\"]\n  6 -> 18 [size =\"39629824\"]\n  6 -> 20 [size =\"39629824\"]\n  6 -> 23 [size =\"39629824\"]\n  6 -> 24 [size =\"39629824\"]\n  7 [size=\"65026560\", alpha=\"0.01\", expect_size=\"26010624\"] \n  7 -> 13 [size =\"26010624\"]\n  7 -> 18 [size =\"26010624\"]\n  7 -> 20 [size =\"26010624\"]\n  7 -> 22 [size =\"26010624\"]\n  7 -> 25 [size =\"26010624\"]\n  8 [size=\"57715200\", alpha=\"0.04\", expect_size=\"23086080\"] \n  8 -> 13 [size =\"23086080\"]\n  8 -> 18 [size =\"23086080\"]\n  8 -> 20 [size =\"23086080\"]\n  8 -> 24 [size =\"23086080\"]\n  9 [size=\"19087360\", alpha=\"0.01\", expect_size=\"7634944\"] \n  9 -> 15 [size =\"7634944\"]\n  9 -> 18 [size =\"7634944\"]\n  9 -> 21 [size =\"7634944\"]\n  9 -> 22 [size =\"7634944\"]\n  9 -> 24 [size =\"7634944\"]\n  9 -> 25 [size =\"7634944\"]\n  10 [size=\"40430080\", alpha=\"0.18\", expect_size=\"16172032\"] \n  10 -> 13 [size =\"16172032\"]\n  10 -> 18 [size =\"16172032\"]\n  10 -> 20 [size =\"16172032\"]\n  11 [size=\"94909440\", alpha=\"0.17\", expect_size=\"37963776\"] \n  11 -> 13 [size =\"37963776\"]\n  11 -> 19 [size =\"37963776\"]\n  12 [size=\"117775360\", alpha=\"0.00\", expect_size=\"47110144\"] \n  12 -> 20 [size =\"47110144\"]\n  12 -> 24 [size =\"47110144\"]\n  13 [size=\"36748800\", alpha=\"0.04\", expect_size=\"14699520\"] \n  13 -> 26 [size =\"14699520\"]\n  13 -> 34 [size =\"14699520\"]\n  13 -> 35 [size =\"14699520\"]\n  13 -> 36 [size =\"14699520\"]\n  14 [size=\"92103680\", alpha=\"0.14\", expect_size=\"36841472\"] \n  14 -> 26 [size =\"36841472\"]\n  14 -> 27 [size =\"36841472\"]\n  14 -> 32 [size =\"36841472\"]\n  14 -> 33 [size =\"36841472\"]\n  14 -> 36 [size =\"36841472\"]\n  14 -> 37 [size =\"36841472\"]\n  15 [size=\"36966400\", alpha=\"0.12\", expect_size=\"14786560\"] \n  15 -> 26 [size =\"14786560\"]\n  15 -> 31 [size =\"14786560\"]\n  15 -> 35 [size =\"14786560\"]\n  15 -> 37 [size =\"14786560\"]\n  16 [size=\"42206720\", alpha=\"0.01\", expect_size=\"16882688\"] \n  16 -> 26 [size =\"16882688\"]\n  16 -> 27 [size =\"16882688\"]\n  16 -> 28 [size =\"16882688\"]\n  16 -> 30 [size =\"16882688\"]\n  16 -> 32 [size =\"16882688\"]\n  16 -> 33 [size =\"16882688\"]\n  16 -> 37 [size =\"16882688\"]\n  17 [size=\"107310080\", alpha=\"0.14\", expect_size=\"42924032\"] \n  17 -> 32 [size =\"42924032\"]\n  17 -> 36 [size =\"42924032\"]\n  18 [size=\"112680960\", alpha=\"0.09\", expect_size=\"45072384\"] \n  18 -> 32 [size =\"45072384\"]\n  18 -> 33 [size =\"45072384\"]\n  18 -> 38 [size =\"45072384\"]\n  19 [size=\"17272320\", alpha=\"0.14\", expect_size=\"6908928\"] \n  19 -> 27 [size =\"6908928\"]\n  19 -> 34 [size =\"6908928\"]\n  20 [size=\"25904640\", alpha=\"0.13\", expect_size=\"10361856\"] \n  20 -> 28 [size =\"10361856\"]\n  20 -> 35 [size =\"10361856\"]\n  20 -> 38 [size =\"10361856\"]\n  21 [size=\"14848000\", alpha=\"0.04\", expect_size=\"5939200\"] \n  21 -> 27 [size =\"5939200\"]\n  21 -> 28 [size =\"5939200\"]\n  21 -> 37 [size =\"5939200\"]\n  22 [size=\"112563200\", alpha=\"0.01\", expect_size=\"45025280\"] \n  22 -> 28 [size =\"45025280\"]\n  22 -> 30 [size =\"45025280\"]\n  22 -> 32 [size =\"45025280\"]\n  22 -> 33 [size =\"45025280\"]\n  23 [size=\"114580480\", alpha=\"0.03\", expect_size=\"45832192\"] \n  23 -> 28 [size =\"45832192\"]\n  23 -> 32 [size =\"45832192\"]\n  23 -> 34 [size =\"45832192\"]\n  24 [size=\"23011840\", alpha=\"0.13\", expect_size=\"9204736\"] \n  24 -> 26 [size =\"9204736\"]\n  24 -> 29 [size =\"9204736\"]\n  24 -> 33 [size =\"9204736\"]\n  24 -> 36 [size =\"9204736\"]\n  24 -> 37 [size =\"9204736\"]\n  25 [size=\"102758400\", alpha=\"0.11\", expect_size=\"41103360\"] \n  25 -> 26 [size =\"41103360\"]\n  25 -> 30 [size =\"41103360\"]\n  25 -> 32 [size =\"41103360\"]\n  25 -> 35 [size =\"41103360\"]\n  25 -> 36 [size =\"41103360\"]\n  26 [size=\"54046720\", alpha=\"0.04\", expect_size=\"21618688\"] \n  27 [size=\"60661760\", alpha=\"0.06\", expect_size=\"24264704\"] \n  28 [size=\"24107520\", alpha=\"0.15\", expect_size=\"9643008\"] \n  28 -> 40 [size =\"9643008\"]\n  29 [size=\"76948480\", alpha=\"0.06\", expect_size=\"30779392\"] \n  29 -> 40 [size =\"30779392\"]\n  30 [size=\"43714560\", alpha=\"0.00\", expect_size=\"17485824\"] \n  30 -> 40 [size =\"17485824\"]\n  31 [size=\"119403520\", alpha=\"0.09\", expect_size=\"47761408\"] \n  31 -> 39 [size =\"47761408\"]\n  31 -> 40 [size =\"47761408\"]\n  32 [size=\"24913920\", alpha=\"0.16\", expect_size=\"9965568\"] \n  33 [size=\"32911360\", alpha=\"0.07\", expect_size=\"13164544\"] \n  34 [size=\"51852800\", alpha=\"0.11\", expect_size=\"20741120\"] \n  35 [size=\"126351360\", alpha=\"0.19\", expect_size=\"50540544\"] \n  35 -> 39 [size =\"50540544\"]\n  35 -> 40 [size =\"50540544\"]\n  36 [size=\"73477120\", alpha=\"0.12\", expect_size=\"29390848\"] \n  37 [size=\"97164800\", alpha=\"0.01\", expect_size=\"38865920\"] \n  37 -> 40 [size =\"38865920\"]\n  38 [size=\"13406720\", alpha=\"0.06\", expect_size=\"5362688\"] \n  39 [size=\"102740480\", alpha=\"0.13\", expect_size=\"41096192\"] \n  40 [size=\"17251840\", alpha=\"0.02\", expect_size=\"6900736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39157760\", alpha=\"0.05\", expect_size=\"19578880\"] \n  1 -> 6 [size =\"19578880\"]\n  1 -> 8 [size =\"19578880\"]\n  1 -> 11 [size =\"19578880\"]\n  2 [size=\"60971008\", alpha=\"0.20\", expect_size=\"30485504\"] \n  2 -> 7 [size =\"30485504\"]\n  2 -> 9 [size =\"30485504\"]\n  2 -> 11 [size =\"30485504\"]\n  3 [size=\"99233792\", alpha=\"0.06\", expect_size=\"49616896\"] \n  3 -> 7 [size =\"49616896\"]\n  3 -> 10 [size =\"49616896\"]\n  4 [size=\"52467712\", alpha=\"0.01\", expect_size=\"26233856\"] \n  4 -> 9 [size =\"26233856\"]\n  4 -> 10 [size =\"26233856\"]\n  5 [size=\"21747712\", alpha=\"0.07\", expect_size=\"10873856\"] \n  5 -> 7 [size =\"10873856\"]\n  5 -> 8 [size =\"10873856\"]\n  6 [size=\"93730816\", alpha=\"0.07\", expect_size=\"46865408\"] \n  6 -> 14 [size =\"46865408\"]\n  6 -> 16 [size =\"46865408\"]\n  7 [size=\"27774976\", alpha=\"0.15\", expect_size=\"13887488\"] \n  7 -> 14 [size =\"13887488\"]\n  7 -> 16 [size =\"13887488\"]\n  8 [size=\"48594944\", alpha=\"0.03\", expect_size=\"24297472\"] \n  8 -> 12 [size =\"24297472\"]\n  8 -> 13 [size =\"24297472\"]\n  8 -> 15 [size =\"24297472\"]\n  9 [size=\"46606336\", alpha=\"0.15\", expect_size=\"23303168\"] \n  9 -> 14 [size =\"23303168\"]\n  10 [size=\"46766080\", alpha=\"0.03\", expect_size=\"23383040\"] \n  10 -> 12 [size =\"23383040\"]\n  10 -> 16 [size =\"23383040\"]\n  11 [size=\"84590592\", alpha=\"0.13\", expect_size=\"42295296\"] \n  11 -> 13 [size =\"42295296\"]\n  12 [size=\"13068288\", alpha=\"0.08\", expect_size=\"6534144\"] \n  12 -> 18 [size =\"6534144\"]\n  12 -> 20 [size =\"6534144\"]\n  13 [size=\"11249664\", alpha=\"0.07\", expect_size=\"5624832\"] \n  13 -> 17 [size =\"5624832\"]\n  13 -> 19 [size =\"5624832\"]\n  14 [size=\"40640512\", alpha=\"0.16\", expect_size=\"20320256\"] \n  14 -> 21 [size =\"20320256\"]\n  15 [size=\"45488128\", alpha=\"0.20\", expect_size=\"22744064\"] \n  15 -> 18 [size =\"22744064\"]\n  15 -> 21 [size =\"22744064\"]\n  16 [size=\"78028800\", alpha=\"0.20\", expect_size=\"39014400\"] \n  16 -> 18 [size =\"39014400\"]\n  16 -> 22 [size =\"39014400\"]\n  17 [size=\"15378432\", alpha=\"0.12\", expect_size=\"7689216\"] \n  17 -> 26 [size =\"7689216\"]\n  18 [size=\"84809728\", alpha=\"0.18\", expect_size=\"42404864\"] \n  18 -> 23 [size =\"42404864\"]\n  19 [size=\"97480704\", alpha=\"0.13\", expect_size=\"48740352\"] \n  20 [size=\"72724480\", alpha=\"0.16\", expect_size=\"36362240\"] \n  20 -> 24 [size =\"36362240\"]\n  20 -> 27 [size =\"36362240\"]\n  21 [size=\"87398400\", alpha=\"0.05\", expect_size=\"43699200\"] \n  21 -> 23 [size =\"43699200\"]\n  21 -> 25 [size =\"43699200\"]\n  21 -> 27 [size =\"43699200\"]\n  22 [size=\"53489664\", alpha=\"0.04\", expect_size=\"26744832\"] \n  22 -> 24 [size =\"26744832\"]\n  22 -> 27 [size =\"26744832\"]\n  23 [size=\"92774400\", alpha=\"0.02\", expect_size=\"46387200\"] \n  23 -> 28 [size =\"46387200\"]\n  23 -> 29 [size =\"46387200\"]\n  24 [size=\"33605632\", alpha=\"0.09\", expect_size=\"16802816\"] \n  24 -> 31 [size =\"16802816\"]\n  25 [size=\"15706112\", alpha=\"0.19\", expect_size=\"7853056\"] \n  25 -> 29 [size =\"7853056\"]\n  25 -> 30 [size =\"7853056\"]\n  25 -> 32 [size =\"7853056\"]\n  26 [size=\"13723648\", alpha=\"0.06\", expect_size=\"6861824\"] \n  26 -> 30 [size =\"6861824\"]\n  26 -> 30 [size =\"6861824\"]\n  26 -> 31 [size =\"6861824\"]\n  26 -> 32 [size =\"6861824\"]\n  27 [size=\"13168640\", alpha=\"0.17\", expect_size=\"6584320\"] \n  27 -> 28 [size =\"6584320\"]\n  27 -> 29 [size =\"6584320\"]\n  28 [size=\"68782080\", alpha=\"0.16\", expect_size=\"34391040\"] \n  28 -> 36 [size =\"34391040\"]\n  28 -> 37 [size =\"34391040\"]\n  29 [size=\"60319744\", alpha=\"0.02\", expect_size=\"30159872\"] \n  29 -> 33 [size =\"30159872\"]\n  30 [size=\"29460480\", alpha=\"0.16\", expect_size=\"14730240\"] \n  30 -> 34 [size =\"14730240\"]\n  31 [size=\"10872832\", alpha=\"0.06\", expect_size=\"5436416\"] \n  31 -> 37 [size =\"5436416\"]\n  32 [size=\"33228800\", alpha=\"0.17\", expect_size=\"16614400\"] \n  32 -> 35 [size =\"16614400\"]\n  32 -> 36 [size =\"16614400\"]\n  32 -> 37 [size =\"16614400\"]\n  33 [size=\"52645888\", alpha=\"0.07\", expect_size=\"26322944\"] \n  33 -> 38 [size =\"26322944\"]\n  34 [size=\"63500288\", alpha=\"0.04\", expect_size=\"31750144\"] \n  34 -> 39 [size =\"31750144\"]\n  35 [size=\"13402112\", alpha=\"0.09\", expect_size=\"6701056\"] \n  35 -> 38 [size =\"6701056\"]\n  35 -> 39 [size =\"6701056\"]\n  36 [size=\"102359040\", alpha=\"0.07\", expect_size=\"51179520\"] \n  37 [size=\"36128768\", alpha=\"0.07\", expect_size=\"18064384\"] \n  37 -> 38 [size =\"18064384\"]\n  37 -> 40 [size =\"18064384\"]\n  38 [size=\"20746240\", alpha=\"0.03\", expect_size=\"10373120\"] \n  39 [size=\"94322688\", alpha=\"0.17\", expect_size=\"47161344\"] \n  40 [size=\"104235008\", alpha=\"0.04\", expect_size=\"52117504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62167040\", alpha=\"0.13\", expect_size=\"31083520\"] \n  1 -> 2 [size =\"31083520\"]\n  2 [size=\"68970496\", alpha=\"0.12\", expect_size=\"34485248\"] \n  2 -> 3 [size =\"34485248\"]\n  3 [size=\"56590336\", alpha=\"0.01\", expect_size=\"28295168\"] \n  3 -> 4 [size =\"28295168\"]\n  4 [size=\"86349824\", alpha=\"0.06\", expect_size=\"43174912\"] \n  4 -> 5 [size =\"43174912\"]\n  5 [size=\"17207296\", alpha=\"0.09\", expect_size=\"8603648\"] \n  5 -> 6 [size =\"8603648\"]\n  6 [size=\"60907520\", alpha=\"0.01\", expect_size=\"30453760\"] \n  6 -> 7 [size =\"30453760\"]\n  7 [size=\"58374144\", alpha=\"0.01\", expect_size=\"29187072\"] \n  7 -> 8 [size =\"29187072\"]\n  8 [size=\"61974528\", alpha=\"0.08\", expect_size=\"30987264\"] \n  8 -> 9 [size =\"30987264\"]\n  9 [size=\"22609920\", alpha=\"0.02\", expect_size=\"11304960\"] \n  9 -> 10 [size =\"11304960\"]\n  10 [size=\"12183552\", alpha=\"0.05\", expect_size=\"6091776\"] \n  10 -> 11 [size =\"6091776\"]\n  11 [size=\"87844864\", alpha=\"0.04\", expect_size=\"43922432\"] \n  11 -> 12 [size =\"43922432\"]\n  12 [size=\"55539712\", alpha=\"0.05\", expect_size=\"27769856\"] \n  12 -> 13 [size =\"27769856\"]\n  13 [size=\"15738880\", alpha=\"0.19\", expect_size=\"7869440\"] \n  13 -> 14 [size =\"7869440\"]\n  14 [size=\"20297728\", alpha=\"0.00\", expect_size=\"10148864\"] \n  14 -> 15 [size =\"10148864\"]\n  15 [size=\"49428480\", alpha=\"0.17\", expect_size=\"24714240\"] \n  15 -> 16 [size =\"24714240\"]\n  16 [size=\"89909248\", alpha=\"0.19\", expect_size=\"44954624\"] \n  16 -> 17 [size =\"44954624\"]\n  17 [size=\"92463104\", alpha=\"0.09\", expect_size=\"46231552\"] \n  17 -> 18 [size =\"46231552\"]\n  18 [size=\"97490944\", alpha=\"0.09\", expect_size=\"48745472\"] \n  18 -> 19 [size =\"48745472\"]\n  19 [size=\"39319552\", alpha=\"0.05\", expect_size=\"19659776\"] \n  19 -> 20 [size =\"19659776\"]\n  20 [size=\"47095808\", alpha=\"0.09\", expect_size=\"23547904\"] \n  20 -> 21 [size =\"23547904\"]\n  21 [size=\"72617984\", alpha=\"0.04\", expect_size=\"36308992\"] \n  21 -> 22 [size =\"36308992\"]\n  22 [size=\"93124608\", alpha=\"0.11\", expect_size=\"46562304\"] \n  22 -> 23 [size =\"46562304\"]\n  23 [size=\"21919744\", alpha=\"0.08\", expect_size=\"10959872\"] \n  23 -> 24 [size =\"10959872\"]\n  24 [size=\"16685056\", alpha=\"0.01\", expect_size=\"8342528\"] \n  24 -> 25 [size =\"8342528\"]\n  25 [size=\"17967104\", alpha=\"0.16\", expect_size=\"8983552\"] \n  25 -> 26 [size =\"8983552\"]\n  26 [size=\"95975424\", alpha=\"0.01\", expect_size=\"47987712\"] \n  26 -> 27 [size =\"47987712\"]\n  27 [size=\"88995840\", alpha=\"0.16\", expect_size=\"44497920\"] \n  27 -> 28 [size =\"44497920\"]\n  28 [size=\"35737600\", alpha=\"0.02\", expect_size=\"17868800\"] \n  28 -> 29 [size =\"17868800\"]\n  29 [size=\"79884288\", alpha=\"0.11\", expect_size=\"39942144\"] \n  29 -> 30 [size =\"39942144\"]\n  30 [size=\"104667136\", alpha=\"0.00\", expect_size=\"52333568\"] \n  30 -> 31 [size =\"52333568\"]\n  31 [size=\"53293056\", alpha=\"0.06\", expect_size=\"26646528\"] \n  31 -> 32 [size =\"26646528\"]\n  32 [size=\"71819264\", alpha=\"0.01\", expect_size=\"35909632\"] \n  32 -> 33 [size =\"35909632\"]\n  33 [size=\"29986816\", alpha=\"0.17\", expect_size=\"14993408\"] \n  33 -> 34 [size =\"14993408\"]\n  34 [size=\"68274176\", alpha=\"0.15\", expect_size=\"34137088\"] \n  34 -> 35 [size =\"34137088\"]\n  35 [size=\"73801728\", alpha=\"0.02\", expect_size=\"36900864\"] \n  35 -> 36 [size =\"36900864\"]\n  36 [size=\"53288960\", alpha=\"0.05\", expect_size=\"26644480\"] \n  36 -> 37 [size =\"26644480\"]\n  37 [size=\"57159680\", alpha=\"0.06\", expect_size=\"28579840\"] \n  37 -> 38 [size =\"28579840\"]\n  38 [size=\"38930432\", alpha=\"0.05\", expect_size=\"19465216\"] \n  38 -> 39 [size =\"19465216\"]\n  39 [size=\"50092032\", alpha=\"0.11\", expect_size=\"25046016\"] \n  39 -> 40 [size =\"25046016\"]\n  40 [size=\"102766592\", alpha=\"0.04\", expect_size=\"51383296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130905600\", alpha=\"0.14\", expect_size=\"52362240\"] \n  1 -> 4 [size =\"52362240\"]\n  1 -> 5 [size =\"52362240\"]\n  2 [size=\"60928000\", alpha=\"0.03\", expect_size=\"24371200\"] \n  2 -> 3 [size =\"24371200\"]\n  2 -> 4 [size =\"24371200\"]\n  2 -> 5 [size =\"24371200\"]\n  3 [size=\"55951360\", alpha=\"0.15\", expect_size=\"22380544\"] \n  3 -> 6 [size =\"22380544\"]\n  3 -> 7 [size =\"22380544\"]\n  3 -> 8 [size =\"22380544\"]\n  4 [size=\"15339520\", alpha=\"0.12\", expect_size=\"6135808\"] \n  4 -> 6 [size =\"6135808\"]\n  4 -> 7 [size =\"6135808\"]\n  4 -> 8 [size =\"6135808\"]\n  5 [size=\"90485760\", alpha=\"0.19\", expect_size=\"36194304\"] \n  5 -> 6 [size =\"36194304\"]\n  5 -> 7 [size =\"36194304\"]\n  5 -> 8 [size =\"36194304\"]\n  6 [size=\"46999040\", alpha=\"0.16\", expect_size=\"18799616\"] \n  6 -> 11 [size =\"18799616\"]\n  7 [size=\"16089600\", alpha=\"0.03\", expect_size=\"6435840\"] \n  7 -> 9 [size =\"6435840\"]\n  7 -> 10 [size =\"6435840\"]\n  8 [size=\"25648640\", alpha=\"0.20\", expect_size=\"10259456\"] \n  8 -> 10 [size =\"10259456\"]\n  9 [size=\"58688000\", alpha=\"0.07\", expect_size=\"23475200\"] \n  9 -> 12 [size =\"23475200\"]\n  9 -> 13 [size =\"23475200\"]\n  9 -> 14 [size =\"23475200\"]\n  10 [size=\"80839680\", alpha=\"0.13\", expect_size=\"32335872\"] \n  10 -> 12 [size =\"32335872\"]\n  10 -> 13 [size =\"32335872\"]\n  10 -> 14 [size =\"32335872\"]\n  11 [size=\"85273600\", alpha=\"0.07\", expect_size=\"34109440\"] \n  11 -> 13 [size =\"34109440\"]\n  11 -> 14 [size =\"34109440\"]\n  12 [size=\"49656320\", alpha=\"0.05\", expect_size=\"19862528\"] \n  12 -> 15 [size =\"19862528\"]\n  13 [size=\"67929600\", alpha=\"0.03\", expect_size=\"27171840\"] \n  13 -> 15 [size =\"27171840\"]\n  14 [size=\"38597120\", alpha=\"0.01\", expect_size=\"15438848\"] \n  14 -> 15 [size =\"15438848\"]\n  14 -> 16 [size =\"15438848\"]\n  15 [size=\"109688320\", alpha=\"0.16\", expect_size=\"43875328\"] \n  15 -> 17 [size =\"43875328\"]\n  15 -> 18 [size =\"43875328\"]\n  16 [size=\"101788160\", alpha=\"0.04\", expect_size=\"40715264\"] \n  16 -> 17 [size =\"40715264\"]\n  16 -> 18 [size =\"40715264\"]\n  17 [size=\"79918080\", alpha=\"0.18\", expect_size=\"31967232\"] \n  17 -> 20 [size =\"31967232\"]\n  18 [size=\"100398080\", alpha=\"0.12\", expect_size=\"40159232\"] \n  18 -> 19 [size =\"40159232\"]\n  19 [size=\"99671040\", alpha=\"0.19\", expect_size=\"39868416\"] \n  19 -> 21 [size =\"39868416\"]\n  19 -> 22 [size =\"39868416\"]\n  20 [size=\"25359360\", alpha=\"0.15\", expect_size=\"10143744\"] \n  20 -> 21 [size =\"10143744\"]\n  20 -> 22 [size =\"10143744\"]\n  21 [size=\"103175680\", alpha=\"0.10\", expect_size=\"41270272\"] \n  21 -> 23 [size =\"41270272\"]\n  21 -> 25 [size =\"41270272\"]\n  22 [size=\"28037120\", alpha=\"0.14\", expect_size=\"11214848\"] \n  22 -> 23 [size =\"11214848\"]\n  22 -> 24 [size =\"11214848\"]\n  22 -> 25 [size =\"11214848\"]\n  23 [size=\"56404480\", alpha=\"0.05\", expect_size=\"22561792\"] \n  23 -> 26 [size =\"22561792\"]\n  23 -> 27 [size =\"22561792\"]\n  24 [size=\"75786240\", alpha=\"0.16\", expect_size=\"30314496\"] \n  24 -> 26 [size =\"30314496\"]\n  25 [size=\"79321600\", alpha=\"0.00\", expect_size=\"31728640\"] \n  25 -> 27 [size =\"31728640\"]\n  26 [size=\"55902720\", alpha=\"0.10\", expect_size=\"22361088\"] \n  26 -> 28 [size =\"22361088\"]\n  26 -> 29 [size =\"22361088\"]\n  27 [size=\"82176000\", alpha=\"0.01\", expect_size=\"32870400\"] \n  27 -> 28 [size =\"32870400\"]\n  27 -> 29 [size =\"32870400\"]\n  27 -> 30 [size =\"32870400\"]\n  28 [size=\"69432320\", alpha=\"0.14\", expect_size=\"27772928\"] \n  28 -> 31 [size =\"27772928\"]\n  29 [size=\"20369920\", alpha=\"0.14\", expect_size=\"8147968\"] \n  29 -> 31 [size =\"8147968\"]\n  29 -> 32 [size =\"8147968\"]\n  30 [size=\"15142400\", alpha=\"0.06\", expect_size=\"6056960\"] \n  30 -> 31 [size =\"6056960\"]\n  30 -> 32 [size =\"6056960\"]\n  31 [size=\"101360640\", alpha=\"0.10\", expect_size=\"40544256\"] \n  31 -> 33 [size =\"40544256\"]\n  31 -> 34 [size =\"40544256\"]\n  32 [size=\"42931200\", alpha=\"0.00\", expect_size=\"17172480\"] \n  32 -> 34 [size =\"17172480\"]\n  33 [size=\"123601920\", alpha=\"0.00\", expect_size=\"49440768\"] \n  33 -> 35 [size =\"49440768\"]\n  33 -> 36 [size =\"49440768\"]\n  34 [size=\"32325120\", alpha=\"0.04\", expect_size=\"12930048\"] \n  34 -> 36 [size =\"12930048\"]\n  35 [size=\"125232640\", alpha=\"0.04\", expect_size=\"50093056\"] \n  35 -> 37 [size =\"50093056\"]\n  36 [size=\"125806080\", alpha=\"0.20\", expect_size=\"50322432\"] \n  36 -> 37 [size =\"50322432\"]\n  36 -> 38 [size =\"50322432\"]\n  37 [size=\"67942400\", alpha=\"0.07\", expect_size=\"27176960\"] \n  37 -> 40 [size =\"27176960\"]\n  38 [size=\"72591360\", alpha=\"0.08\", expect_size=\"29036544\"] \n  38 -> 39 [size =\"29036544\"]\n  38 -> 40 [size =\"29036544\"]\n  39 [size=\"34327040\", alpha=\"0.04\", expect_size=\"13730816\"] \n  40 [size=\"116702720\", alpha=\"0.03\", expect_size=\"46681088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12474368\", alpha=\"0.04\", expect_size=\"6237184\"] \n  1 -> 16 [size =\"6237184\"]\n  1 -> 17 [size =\"6237184\"]\n  1 -> 19 [size =\"6237184\"]\n  1 -> 22 [size =\"6237184\"]\n  1 -> 24 [size =\"6237184\"]\n  1 -> 25 [size =\"6237184\"]\n  1 -> 26 [size =\"6237184\"]\n  1 -> 31 [size =\"6237184\"]\n  2 [size=\"65243136\", alpha=\"0.13\", expect_size=\"32621568\"] \n  2 -> 17 [size =\"32621568\"]\n  2 -> 20 [size =\"32621568\"]\n  2 -> 22 [size =\"32621568\"]\n  2 -> 24 [size =\"32621568\"]\n  2 -> 30 [size =\"32621568\"]\n  3 [size=\"56596480\", alpha=\"0.10\", expect_size=\"28298240\"] \n  3 -> 19 [size =\"28298240\"]\n  3 -> 25 [size =\"28298240\"]\n  3 -> 29 [size =\"28298240\"]\n  4 [size=\"27258880\", alpha=\"0.18\", expect_size=\"13629440\"] \n  4 -> 17 [size =\"13629440\"]\n  4 -> 19 [size =\"13629440\"]\n  4 -> 21 [size =\"13629440\"]\n  4 -> 22 [size =\"13629440\"]\n  5 [size=\"77262848\", alpha=\"0.00\", expect_size=\"38631424\"] \n  5 -> 19 [size =\"38631424\"]\n  5 -> 28 [size =\"38631424\"]\n  6 [size=\"66015232\", alpha=\"0.01\", expect_size=\"33007616\"] \n  6 -> 17 [size =\"33007616\"]\n  6 -> 18 [size =\"33007616\"]\n  6 -> 20 [size =\"33007616\"]\n  6 -> 23 [size =\"33007616\"]\n  6 -> 24 [size =\"33007616\"]\n  6 -> 28 [size =\"33007616\"]\n  7 [size=\"56184832\", alpha=\"0.12\", expect_size=\"28092416\"] \n  7 -> 15 [size =\"28092416\"]\n  7 -> 16 [size =\"28092416\"]\n  7 -> 17 [size =\"28092416\"]\n  7 -> 20 [size =\"28092416\"]\n  7 -> 24 [size =\"28092416\"]\n  7 -> 28 [size =\"28092416\"]\n  7 -> 30 [size =\"28092416\"]\n  7 -> 31 [size =\"28092416\"]\n  8 [size=\"93636608\", alpha=\"0.09\", expect_size=\"46818304\"] \n  8 -> 16 [size =\"46818304\"]\n  8 -> 17 [size =\"46818304\"]\n  8 -> 22 [size =\"46818304\"]\n  8 -> 24 [size =\"46818304\"]\n  8 -> 24 [size =\"46818304\"]\n  8 -> 28 [size =\"46818304\"]\n  8 -> 31 [size =\"46818304\"]\n  9 [size=\"34484224\", alpha=\"0.06\", expect_size=\"17242112\"] \n  9 -> 21 [size =\"17242112\"]\n  9 -> 22 [size =\"17242112\"]\n  9 -> 23 [size =\"17242112\"]\n  9 -> 26 [size =\"17242112\"]\n  9 -> 28 [size =\"17242112\"]\n  9 -> 30 [size =\"17242112\"]\n  9 -> 31 [size =\"17242112\"]\n  10 [size=\"10549248\", alpha=\"0.05\", expect_size=\"5274624\"] \n  10 -> 20 [size =\"5274624\"]\n  10 -> 26 [size =\"5274624\"]\n  10 -> 27 [size =\"5274624\"]\n  10 -> 30 [size =\"5274624\"]\n  10 -> 31 [size =\"5274624\"]\n  11 [size=\"34543616\", alpha=\"0.07\", expect_size=\"17271808\"] \n  11 -> 18 [size =\"17271808\"]\n  11 -> 21 [size =\"17271808\"]\n  11 -> 22 [size =\"17271808\"]\n  11 -> 26 [size =\"17271808\"]\n  11 -> 28 [size =\"17271808\"]\n  11 -> 30 [size =\"17271808\"]\n  11 -> 31 [size =\"17271808\"]\n  12 [size=\"52348928\", alpha=\"0.10\", expect_size=\"26174464\"] \n  12 -> 19 [size =\"26174464\"]\n  12 -> 20 [size =\"26174464\"]\n  12 -> 25 [size =\"26174464\"]\n  12 -> 28 [size =\"26174464\"]\n  12 -> 30 [size =\"26174464\"]\n  12 -> 30 [size =\"26174464\"]\n  13 [size=\"17682432\", alpha=\"0.16\", expect_size=\"8841216\"] \n  13 -> 14 [size =\"8841216\"]\n  13 -> 20 [size =\"8841216\"]\n  13 -> 22 [size =\"8841216\"]\n  13 -> 23 [size =\"8841216\"]\n  13 -> 26 [size =\"8841216\"]\n  14 [size=\"65036288\", alpha=\"0.02\", expect_size=\"32518144\"] \n  14 -> 33 [size =\"32518144\"]\n  14 -> 37 [size =\"32518144\"]\n  14 -> 40 [size =\"32518144\"]\n  15 [size=\"54179840\", alpha=\"0.10\", expect_size=\"27089920\"] \n  15 -> 32 [size =\"27089920\"]\n  15 -> 33 [size =\"27089920\"]\n  15 -> 36 [size =\"27089920\"]\n  15 -> 37 [size =\"27089920\"]\n  16 [size=\"56522752\", alpha=\"0.10\", expect_size=\"28261376\"] \n  16 -> 32 [size =\"28261376\"]\n  16 -> 34 [size =\"28261376\"]\n  17 [size=\"60983296\", alpha=\"0.11\", expect_size=\"30491648\"] \n  17 -> 32 [size =\"30491648\"]\n  17 -> 33 [size =\"30491648\"]\n  17 -> 35 [size =\"30491648\"]\n  17 -> 36 [size =\"30491648\"]\n  18 [size=\"23416832\", alpha=\"0.06\", expect_size=\"11708416\"] \n  18 -> 32 [size =\"11708416\"]\n  18 -> 37 [size =\"11708416\"]\n  18 -> 40 [size =\"11708416\"]\n  19 [size=\"64391168\", alpha=\"0.01\", expect_size=\"32195584\"] \n  19 -> 33 [size =\"32195584\"]\n  19 -> 36 [size =\"32195584\"]\n  20 [size=\"90662912\", alpha=\"0.08\", expect_size=\"45331456\"] \n  20 -> 33 [size =\"45331456\"]\n  20 -> 39 [size =\"45331456\"]\n  21 [size=\"18444288\", alpha=\"0.15\", expect_size=\"9222144\"] \n  22 [size=\"50472960\", alpha=\"0.13\", expect_size=\"25236480\"] \n  22 -> 32 [size =\"25236480\"]\n  22 -> 37 [size =\"25236480\"]\n  22 -> 38 [size =\"25236480\"]\n  23 [size=\"98500608\", alpha=\"0.02\", expect_size=\"49250304\"] \n  23 -> 36 [size =\"49250304\"]\n  23 -> 37 [size =\"49250304\"]\n  24 [size=\"80197632\", alpha=\"0.14\", expect_size=\"40098816\"] \n  24 -> 36 [size =\"40098816\"]\n  24 -> 37 [size =\"40098816\"]\n  25 [size=\"89188352\", alpha=\"0.20\", expect_size=\"44594176\"] \n  25 -> 37 [size =\"44594176\"]\n  25 -> 37 [size =\"44594176\"]\n  25 -> 39 [size =\"44594176\"]\n  26 [size=\"41396224\", alpha=\"0.18\", expect_size=\"20698112\"] \n  26 -> 32 [size =\"20698112\"]\n  26 -> 39 [size =\"20698112\"]\n  26 -> 39 [size =\"20698112\"]\n  27 [size=\"89767936\", alpha=\"0.05\", expect_size=\"44883968\"] \n  27 -> 33 [size =\"44883968\"]\n  27 -> 36 [size =\"44883968\"]\n  27 -> 37 [size =\"44883968\"]\n  27 -> 38 [size =\"44883968\"]\n  28 [size=\"49180672\", alpha=\"0.11\", expect_size=\"24590336\"] \n  28 -> 32 [size =\"24590336\"]\n  28 -> 38 [size =\"24590336\"]\n  29 [size=\"75253760\", alpha=\"0.01\", expect_size=\"37626880\"] \n  29 -> 36 [size =\"37626880\"]\n  29 -> 38 [size =\"37626880\"]\n  30 [size=\"80906240\", alpha=\"0.11\", expect_size=\"40453120\"] \n  30 -> 37 [size =\"40453120\"]\n  30 -> 39 [size =\"40453120\"]\n  31 [size=\"23341056\", alpha=\"0.06\", expect_size=\"11670528\"] \n  31 -> 33 [size =\"11670528\"]\n  31 -> 37 [size =\"11670528\"]\n  32 [size=\"93290496\", alpha=\"0.11\", expect_size=\"46645248\"] \n  33 [size=\"62402560\", alpha=\"0.17\", expect_size=\"31201280\"] \n  34 [size=\"71155712\", alpha=\"0.14\", expect_size=\"35577856\"] \n  35 [size=\"41953280\", alpha=\"0.00\", expect_size=\"20976640\"] \n  36 [size=\"41576448\", alpha=\"0.17\", expect_size=\"20788224\"] \n  37 [size=\"31180800\", alpha=\"0.04\", expect_size=\"15590400\"] \n  38 [size=\"56465408\", alpha=\"0.14\", expect_size=\"28232704\"] \n  39 [size=\"11841536\", alpha=\"0.15\", expect_size=\"5920768\"] \n  40 [size=\"15681536\", alpha=\"0.13\", expect_size=\"7840768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68748800\", alpha=\"0.16\", expect_size=\"27499520\"] \n  1 -> 12 [size =\"27499520\"]\n  1 -> 14 [size =\"27499520\"]\n  1 -> 25 [size =\"27499520\"]\n  2 [size=\"43550720\", alpha=\"0.03\", expect_size=\"17420288\"] \n  2 -> 11 [size =\"17420288\"]\n  2 -> 12 [size =\"17420288\"]\n  2 -> 14 [size =\"17420288\"]\n  2 -> 17 [size =\"17420288\"]\n  2 -> 21 [size =\"17420288\"]\n  2 -> 22 [size =\"17420288\"]\n  2 -> 23 [size =\"17420288\"]\n  2 -> 24 [size =\"17420288\"]\n  2 -> 25 [size =\"17420288\"]\n  3 [size=\"50158080\", alpha=\"0.10\", expect_size=\"20063232\"] \n  3 -> 12 [size =\"20063232\"]\n  3 -> 14 [size =\"20063232\"]\n  3 -> 15 [size =\"20063232\"]\n  3 -> 17 [size =\"20063232\"]\n  3 -> 18 [size =\"20063232\"]\n  3 -> 24 [size =\"20063232\"]\n  3 -> 25 [size =\"20063232\"]\n  4 [size=\"59120640\", alpha=\"0.12\", expect_size=\"23648256\"] \n  4 -> 14 [size =\"23648256\"]\n  4 -> 15 [size =\"23648256\"]\n  4 -> 19 [size =\"23648256\"]\n  4 -> 20 [size =\"23648256\"]\n  4 -> 21 [size =\"23648256\"]\n  4 -> 23 [size =\"23648256\"]\n  5 [size=\"102538240\", alpha=\"0.09\", expect_size=\"41015296\"] \n  5 -> 10 [size =\"41015296\"]\n  5 -> 16 [size =\"41015296\"]\n  5 -> 20 [size =\"41015296\"]\n  5 -> 25 [size =\"41015296\"]\n  6 [size=\"53015040\", alpha=\"0.12\", expect_size=\"21206016\"] \n  6 -> 13 [size =\"21206016\"]\n  6 -> 14 [size =\"21206016\"]\n  6 -> 15 [size =\"21206016\"]\n  6 -> 17 [size =\"21206016\"]\n  7 [size=\"126064640\", alpha=\"0.07\", expect_size=\"50425856\"] \n  7 -> 15 [size =\"50425856\"]\n  7 -> 16 [size =\"50425856\"]\n  7 -> 21 [size =\"50425856\"]\n  7 -> 22 [size =\"50425856\"]\n  7 -> 24 [size =\"50425856\"]\n  8 [size=\"90764800\", alpha=\"0.03\", expect_size=\"36305920\"] \n  8 -> 10 [size =\"36305920\"]\n  8 -> 12 [size =\"36305920\"]\n  8 -> 22 [size =\"36305920\"]\n  9 [size=\"126417920\", alpha=\"0.05\", expect_size=\"50567168\"] \n  9 -> 10 [size =\"50567168\"]\n  9 -> 15 [size =\"50567168\"]\n  9 -> 22 [size =\"50567168\"]\n  9 -> 24 [size =\"50567168\"]\n  9 -> 25 [size =\"50567168\"]\n  10 [size=\"39313920\", alpha=\"0.12\", expect_size=\"15725568\"] \n  10 -> 26 [size =\"15725568\"]\n  10 -> 33 [size =\"15725568\"]\n  10 -> 36 [size =\"15725568\"]\n  11 [size=\"117104640\", alpha=\"0.04\", expect_size=\"46841856\"] \n  11 -> 29 [size =\"46841856\"]\n  11 -> 35 [size =\"46841856\"]\n  12 [size=\"93539840\", alpha=\"0.19\", expect_size=\"37415936\"] \n  12 -> 26 [size =\"37415936\"]\n  12 -> 27 [size =\"37415936\"]\n  12 -> 31 [size =\"37415936\"]\n  12 -> 35 [size =\"37415936\"]\n  12 -> 36 [size =\"37415936\"]\n  13 [size=\"111915520\", alpha=\"0.16\", expect_size=\"44766208\"] \n  13 -> 33 [size =\"44766208\"]\n  14 [size=\"50347520\", alpha=\"0.13\", expect_size=\"20139008\"] \n  14 -> 27 [size =\"20139008\"]\n  14 -> 29 [size =\"20139008\"]\n  14 -> 32 [size =\"20139008\"]\n  14 -> 34 [size =\"20139008\"]\n  14 -> 35 [size =\"20139008\"]\n  15 [size=\"124021760\", alpha=\"0.04\", expect_size=\"49608704\"] \n  15 -> 32 [size =\"49608704\"]\n  15 -> 33 [size =\"49608704\"]\n  15 -> 35 [size =\"49608704\"]\n  16 [size=\"61808640\", alpha=\"0.08\", expect_size=\"24723456\"] \n  16 -> 35 [size =\"24723456\"]\n  16 -> 36 [size =\"24723456\"]\n  17 [size=\"13521920\", alpha=\"0.15\", expect_size=\"5408768\"] \n  17 -> 31 [size =\"5408768\"]\n  17 -> 32 [size =\"5408768\"]\n  17 -> 33 [size =\"5408768\"]\n  18 [size=\"53455360\", alpha=\"0.02\", expect_size=\"21382144\"] \n  18 -> 32 [size =\"21382144\"]\n  19 [size=\"70430720\", alpha=\"0.00\", expect_size=\"28172288\"] \n  19 -> 27 [size =\"28172288\"]\n  19 -> 29 [size =\"28172288\"]\n  19 -> 30 [size =\"28172288\"]\n  19 -> 36 [size =\"28172288\"]\n  20 [size=\"97779200\", alpha=\"0.14\", expect_size=\"39111680\"] \n  20 -> 29 [size =\"39111680\"]\n  20 -> 36 [size =\"39111680\"]\n  21 [size=\"49651200\", alpha=\"0.17\", expect_size=\"19860480\"] \n  21 -> 26 [size =\"19860480\"]\n  21 -> 28 [size =\"19860480\"]\n  21 -> 33 [size =\"19860480\"]\n  22 [size=\"75965440\", alpha=\"0.06\", expect_size=\"30386176\"] \n  22 -> 30 [size =\"30386176\"]\n  22 -> 33 [size =\"30386176\"]\n  23 [size=\"72153600\", alpha=\"0.00\", expect_size=\"28861440\"] \n  23 -> 35 [size =\"28861440\"]\n  24 [size=\"47892480\", alpha=\"0.03\", expect_size=\"19156992\"] \n  24 -> 28 [size =\"19156992\"]\n  24 -> 31 [size =\"19156992\"]\n  24 -> 35 [size =\"19156992\"]\n  25 [size=\"126195200\", alpha=\"0.00\", expect_size=\"50478080\"] \n  25 -> 30 [size =\"50478080\"]\n  25 -> 31 [size =\"50478080\"]\n  25 -> 34 [size =\"50478080\"]\n  26 [size=\"34007040\", alpha=\"0.05\", expect_size=\"13602816\"] \n  26 -> 37 [size =\"13602816\"]\n  26 -> 38 [size =\"13602816\"]\n  26 -> 40 [size =\"13602816\"]\n  27 [size=\"82598400\", alpha=\"0.08\", expect_size=\"33039360\"] \n  27 -> 40 [size =\"33039360\"]\n  28 [size=\"53982720\", alpha=\"0.05\", expect_size=\"21593088\"] \n  28 -> 39 [size =\"21593088\"]\n  29 [size=\"67223040\", alpha=\"0.01\", expect_size=\"26889216\"] \n  29 -> 40 [size =\"26889216\"]\n  30 [size=\"69468160\", alpha=\"0.01\", expect_size=\"27787264\"] \n  30 -> 40 [size =\"27787264\"]\n  31 [size=\"34974720\", alpha=\"0.19\", expect_size=\"13989888\"] \n  32 [size=\"19389440\", alpha=\"0.11\", expect_size=\"7755776\"] \n  32 -> 37 [size =\"7755776\"]\n  32 -> 38 [size =\"7755776\"]\n  32 -> 40 [size =\"7755776\"]\n  33 [size=\"53155840\", alpha=\"0.19\", expect_size=\"21262336\"] \n  33 -> 37 [size =\"21262336\"]\n  33 -> 39 [size =\"21262336\"]\n  33 -> 40 [size =\"21262336\"]\n  34 [size=\"55362560\", alpha=\"0.14\", expect_size=\"22145024\"] \n  34 -> 37 [size =\"22145024\"]\n  34 -> 39 [size =\"22145024\"]\n  35 [size=\"72023040\", alpha=\"0.07\", expect_size=\"28809216\"] \n  35 -> 37 [size =\"28809216\"]\n  36 [size=\"74608640\", alpha=\"0.09\", expect_size=\"29843456\"] \n  36 -> 39 [size =\"29843456\"]\n  37 [size=\"103027200\", alpha=\"0.11\", expect_size=\"41210880\"] \n  38 [size=\"34306560\", alpha=\"0.20\", expect_size=\"13722624\"] \n  39 [size=\"64071680\", alpha=\"0.18\", expect_size=\"25628672\"] \n  40 [size=\"69706240\", alpha=\"0.11\", expect_size=\"27882496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143595520\", alpha=\"0.12\", expect_size=\"43078656\"] \n  1 -> 21 [size =\"43078656\"]\n  1 -> 23 [size =\"43078656\"]\n  1 -> 32 [size =\"43078656\"]\n  1 -> 36 [size =\"43078656\"]\n  1 -> 38 [size =\"43078656\"]\n  2 [size=\"28921173\", alpha=\"0.15\", expect_size=\"8676352\"] \n  2 -> 22 [size =\"8676352\"]\n  2 -> 28 [size =\"8676352\"]\n  2 -> 29 [size =\"8676352\"]\n  2 -> 30 [size =\"8676352\"]\n  2 -> 33 [size =\"8676352\"]\n  3 [size=\"128133120\", alpha=\"0.14\", expect_size=\"38439936\"] \n  3 -> 29 [size =\"38439936\"]\n  3 -> 30 [size =\"38439936\"]\n  3 -> 32 [size =\"38439936\"]\n  3 -> 36 [size =\"38439936\"]\n  4 [size=\"153176747\", alpha=\"0.08\", expect_size=\"45953024\"] \n  4 -> 24 [size =\"45953024\"]\n  4 -> 28 [size =\"45953024\"]\n  4 -> 31 [size =\"45953024\"]\n  4 -> 38 [size =\"45953024\"]\n  5 [size=\"106949973\", alpha=\"0.04\", expect_size=\"32084992\"] \n  5 -> 21 [size =\"32084992\"]\n  5 -> 23 [size =\"32084992\"]\n  5 -> 28 [size =\"32084992\"]\n  5 -> 29 [size =\"32084992\"]\n  5 -> 30 [size =\"32084992\"]\n  5 -> 38 [size =\"32084992\"]\n  6 [size=\"162034347\", alpha=\"0.16\", expect_size=\"48610304\"] \n  6 -> 21 [size =\"48610304\"]\n  6 -> 28 [size =\"48610304\"]\n  6 -> 32 [size =\"48610304\"]\n  6 -> 33 [size =\"48610304\"]\n  7 [size=\"100106240\", alpha=\"0.14\", expect_size=\"30031872\"] \n  7 -> 21 [size =\"30031872\"]\n  7 -> 26 [size =\"30031872\"]\n  7 -> 28 [size =\"30031872\"]\n  7 -> 29 [size =\"30031872\"]\n  7 -> 30 [size =\"30031872\"]\n  7 -> 35 [size =\"30031872\"]\n  7 -> 36 [size =\"30031872\"]\n  7 -> 38 [size =\"30031872\"]\n  8 [size=\"156241920\", alpha=\"0.09\", expect_size=\"46872576\"] \n  8 -> 21 [size =\"46872576\"]\n  8 -> 24 [size =\"46872576\"]\n  8 -> 28 [size =\"46872576\"]\n  8 -> 29 [size =\"46872576\"]\n  8 -> 30 [size =\"46872576\"]\n  8 -> 37 [size =\"46872576\"]\n  8 -> 38 [size =\"46872576\"]\n  9 [size=\"52428800\", alpha=\"0.18\", expect_size=\"15728640\"] \n  9 -> 21 [size =\"15728640\"]\n  9 -> 28 [size =\"15728640\"]\n  9 -> 29 [size =\"15728640\"]\n  9 -> 30 [size =\"15728640\"]\n  9 -> 32 [size =\"15728640\"]\n  9 -> 34 [size =\"15728640\"]\n  9 -> 36 [size =\"15728640\"]\n  10 [size=\"128180907\", alpha=\"0.18\", expect_size=\"38454272\"] \n  10 -> 22 [size =\"38454272\"]\n  10 -> 29 [size =\"38454272\"]\n  10 -> 31 [size =\"38454272\"]\n  10 -> 38 [size =\"38454272\"]\n  11 [size=\"144134827\", alpha=\"0.15\", expect_size=\"43240448\"] \n  11 -> 21 [size =\"43240448\"]\n  11 -> 29 [size =\"43240448\"]\n  11 -> 33 [size =\"43240448\"]\n  12 [size=\"83319467\", alpha=\"0.14\", expect_size=\"24995840\"] \n  12 -> 21 [size =\"24995840\"]\n  12 -> 28 [size =\"24995840\"]\n  12 -> 29 [size =\"24995840\"]\n  12 -> 30 [size =\"24995840\"]\n  13 [size=\"46899200\", alpha=\"0.13\", expect_size=\"14069760\"] \n  13 -> 21 [size =\"14069760\"]\n  13 -> 24 [size =\"14069760\"]\n  13 -> 28 [size =\"14069760\"]\n  13 -> 36 [size =\"14069760\"]\n  13 -> 38 [size =\"14069760\"]\n  14 [size=\"158023680\", alpha=\"0.14\", expect_size=\"47407104\"] \n  14 -> 21 [size =\"47407104\"]\n  14 -> 23 [size =\"47407104\"]\n  14 -> 24 [size =\"47407104\"]\n  14 -> 28 [size =\"47407104\"]\n  14 -> 29 [size =\"47407104\"]\n  14 -> 32 [size =\"47407104\"]\n  14 -> 38 [size =\"47407104\"]\n  15 [size=\"64068267\", alpha=\"0.10\", expect_size=\"19220480\"] \n  15 -> 21 [size =\"19220480\"]\n  15 -> 23 [size =\"19220480\"]\n  15 -> 24 [size =\"19220480\"]\n  15 -> 26 [size =\"19220480\"]\n  15 -> 29 [size =\"19220480\"]\n  15 -> 30 [size =\"19220480\"]\n  15 -> 36 [size =\"19220480\"]\n  15 -> 38 [size =\"19220480\"]\n  16 [size=\"92282880\", alpha=\"0.05\", expect_size=\"27684864\"] \n  16 -> 22 [size =\"27684864\"]\n  16 -> 23 [size =\"27684864\"]\n  16 -> 24 [size =\"27684864\"]\n  16 -> 25 [size =\"27684864\"]\n  16 -> 27 [size =\"27684864\"]\n  16 -> 29 [size =\"27684864\"]\n  16 -> 30 [size =\"27684864\"]\n  16 -> 32 [size =\"27684864\"]\n  16 -> 33 [size =\"27684864\"]\n  16 -> 34 [size =\"27684864\"]\n  16 -> 38 [size =\"27684864\"]\n  17 [size=\"62190933\", alpha=\"0.14\", expect_size=\"18657280\"] \n  17 -> 23 [size =\"18657280\"]\n  17 -> 23 [size =\"18657280\"]\n  17 -> 24 [size =\"18657280\"]\n  17 -> 28 [size =\"18657280\"]\n  17 -> 31 [size =\"18657280\"]\n  17 -> 34 [size =\"18657280\"]\n  18 [size=\"18783573\", alpha=\"0.08\", expect_size=\"5635072\"] \n  18 -> 21 [size =\"5635072\"]\n  18 -> 23 [size =\"5635072\"]\n  18 -> 28 [size =\"5635072\"]\n  18 -> 32 [size =\"5635072\"]\n  18 -> 33 [size =\"5635072\"]\n  18 -> 34 [size =\"5635072\"]\n  19 [size=\"85862400\", alpha=\"0.15\", expect_size=\"25758720\"] \n  19 -> 21 [size =\"25758720\"]\n  19 -> 23 [size =\"25758720\"]\n  19 -> 32 [size =\"25758720\"]\n  19 -> 34 [size =\"25758720\"]\n  19 -> 37 [size =\"25758720\"]\n  19 -> 38 [size =\"25758720\"]\n  20 [size=\"70987093\", alpha=\"0.03\", expect_size=\"21296128\"] \n  20 -> 21 [size =\"21296128\"]\n  20 -> 24 [size =\"21296128\"]\n  20 -> 29 [size =\"21296128\"]\n  20 -> 32 [size =\"21296128\"]\n  20 -> 33 [size =\"21296128\"]\n  20 -> 37 [size =\"21296128\"]\n  20 -> 38 [size =\"21296128\"]\n  21 [size=\"56159573\", alpha=\"0.07\", expect_size=\"16847872\"] \n  21 -> 39 [size =\"16847872\"]\n  22 [size=\"20688213\", alpha=\"0.12\", expect_size=\"6206464\"] \n  23 [size=\"133208747\", alpha=\"0.12\", expect_size=\"39962624\"] \n  24 [size=\"79902720\", alpha=\"0.09\", expect_size=\"23970816\"] \n  24 -> 40 [size =\"23970816\"]\n  25 [size=\"36457813\", alpha=\"0.17\", expect_size=\"10937344\"] \n  25 -> 39 [size =\"10937344\"]\n  26 [size=\"116121600\", alpha=\"0.04\", expect_size=\"34836480\"] \n  26 -> 39 [size =\"34836480\"]\n  27 [size=\"156084907\", alpha=\"0.01\", expect_size=\"46825472\"] \n  28 [size=\"106646187\", alpha=\"0.16\", expect_size=\"31993856\"] \n  29 [size=\"171728213\", alpha=\"0.15\", expect_size=\"51518464\"] \n  30 [size=\"129181013\", alpha=\"0.09\", expect_size=\"38754304\"] \n  30 -> 39 [size =\"38754304\"]\n  31 [size=\"150364160\", alpha=\"0.18\", expect_size=\"45109248\"] \n  32 [size=\"46820693\", alpha=\"0.16\", expect_size=\"14046208\"] \n  32 -> 40 [size =\"14046208\"]\n  33 [size=\"144578560\", alpha=\"0.18\", expect_size=\"43373568\"] \n  33 -> 40 [size =\"43373568\"]\n  34 [size=\"82428587\", alpha=\"0.17\", expect_size=\"24728576\"] \n  35 [size=\"153367893\", alpha=\"0.02\", expect_size=\"46010368\"] \n  35 -> 39 [size =\"46010368\"]\n  36 [size=\"132293973\", alpha=\"0.17\", expect_size=\"39688192\"] \n  37 [size=\"163764907\", alpha=\"0.18\", expect_size=\"49129472\"] \n  38 [size=\"173131093\", alpha=\"0.19\", expect_size=\"51939328\"] \n  38 -> 39 [size =\"51939328\"]\n  38 -> 40 [size =\"51939328\"]\n  39 [size=\"141868373\", alpha=\"0.08\", expect_size=\"42560512\"] \n  40 [size=\"104929280\", alpha=\"0.04\", expect_size=\"31478784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151179947\", alpha=\"0.07\", expect_size=\"45353984\"] \n  1 -> 7 [size =\"45353984\"]\n  1 -> 9 [size =\"45353984\"]\n  2 [size=\"148882773\", alpha=\"0.16\", expect_size=\"44664832\"] \n  2 -> 7 [size =\"44664832\"]\n  2 -> 8 [size =\"44664832\"]\n  2 -> 9 [size =\"44664832\"]\n  2 -> 11 [size =\"44664832\"]\n  3 [size=\"95590400\", alpha=\"0.11\", expect_size=\"28677120\"] \n  3 -> 6 [size =\"28677120\"]\n  3 -> 7 [size =\"28677120\"]\n  3 -> 8 [size =\"28677120\"]\n  3 -> 10 [size =\"28677120\"]\n  3 -> 11 [size =\"28677120\"]\n  4 [size=\"37143893\", alpha=\"0.17\", expect_size=\"11143168\"] \n  4 -> 6 [size =\"11143168\"]\n  5 [size=\"122303147\", alpha=\"0.04\", expect_size=\"36690944\"] \n  5 -> 6 [size =\"36690944\"]\n  6 [size=\"75444907\", alpha=\"0.16\", expect_size=\"22633472\"] \n  6 -> 13 [size =\"22633472\"]\n  6 -> 14 [size =\"22633472\"]\n  6 -> 15 [size =\"22633472\"]\n  7 [size=\"115514027\", alpha=\"0.11\", expect_size=\"34654208\"] \n  8 [size=\"120193707\", alpha=\"0.19\", expect_size=\"36058112\"] \n  8 -> 12 [size =\"36058112\"]\n  8 -> 16 [size =\"36058112\"]\n  9 [size=\"38321493\", alpha=\"0.09\", expect_size=\"11496448\"] \n  9 -> 13 [size =\"11496448\"]\n  9 -> 15 [size =\"11496448\"]\n  10 [size=\"164287147\", alpha=\"0.00\", expect_size=\"49286144\"] \n  10 -> 12 [size =\"49286144\"]\n  10 -> 13 [size =\"49286144\"]\n  11 [size=\"89347413\", alpha=\"0.17\", expect_size=\"26804224\"] \n  11 -> 12 [size =\"26804224\"]\n  11 -> 13 [size =\"26804224\"]\n  11 -> 14 [size =\"26804224\"]\n  11 -> 15 [size =\"26804224\"]\n  12 [size=\"140690773\", alpha=\"0.00\", expect_size=\"42207232\"] \n  12 -> 21 [size =\"42207232\"]\n  12 -> 22 [size =\"42207232\"]\n  13 [size=\"106407253\", alpha=\"0.07\", expect_size=\"31922176\"] \n  13 -> 18 [size =\"31922176\"]\n  13 -> 21 [size =\"31922176\"]\n  13 -> 22 [size =\"31922176\"]\n  14 [size=\"34863787\", alpha=\"0.19\", expect_size=\"10459136\"] \n  14 -> 18 [size =\"10459136\"]\n  14 -> 20 [size =\"10459136\"]\n  14 -> 22 [size =\"10459136\"]\n  15 [size=\"170199040\", alpha=\"0.16\", expect_size=\"51059712\"] \n  15 -> 19 [size =\"51059712\"]\n  16 [size=\"44448427\", alpha=\"0.07\", expect_size=\"13334528\"] \n  16 -> 17 [size =\"13334528\"]\n  16 -> 18 [size =\"13334528\"]\n  17 [size=\"170127360\", alpha=\"0.03\", expect_size=\"51038208\"] \n  17 -> 23 [size =\"51038208\"]\n  17 -> 24 [size =\"51038208\"]\n  18 [size=\"97163947\", alpha=\"0.04\", expect_size=\"29149184\"] \n  18 -> 24 [size =\"29149184\"]\n  18 -> 26 [size =\"29149184\"]\n  19 [size=\"91644587\", alpha=\"0.17\", expect_size=\"27493376\"] \n  19 -> 28 [size =\"27493376\"]\n  20 [size=\"159300267\", alpha=\"0.06\", expect_size=\"47790080\"] \n  20 -> 23 [size =\"47790080\"]\n  20 -> 27 [size =\"47790080\"]\n  20 -> 28 [size =\"47790080\"]\n  21 [size=\"159706453\", alpha=\"0.13\", expect_size=\"47911936\"] \n  21 -> 25 [size =\"47911936\"]\n  21 -> 27 [size =\"47911936\"]\n  21 -> 28 [size =\"47911936\"]\n  22 [size=\"137362773\", alpha=\"0.17\", expect_size=\"41208832\"] \n  22 -> 24 [size =\"41208832\"]\n  22 -> 25 [size =\"41208832\"]\n  22 -> 28 [size =\"41208832\"]\n  23 [size=\"138663253\", alpha=\"0.10\", expect_size=\"41598976\"] \n  23 -> 31 [size =\"41598976\"]\n  23 -> 34 [size =\"41598976\"]\n  24 [size=\"38144000\", alpha=\"0.06\", expect_size=\"11443200\"] \n  24 -> 29 [size =\"11443200\"]\n  24 -> 31 [size =\"11443200\"]\n  25 [size=\"29402453\", alpha=\"0.15\", expect_size=\"8820736\"] \n  25 -> 30 [size =\"8820736\"]\n  25 -> 32 [size =\"8820736\"]\n  26 [size=\"152579413\", alpha=\"0.12\", expect_size=\"45773824\"] \n  26 -> 32 [size =\"45773824\"]\n  26 -> 32 [size =\"45773824\"]\n  27 [size=\"53800960\", alpha=\"0.01\", expect_size=\"16140288\"] \n  27 -> 30 [size =\"16140288\"]\n  27 -> 32 [size =\"16140288\"]\n  28 [size=\"77096960\", alpha=\"0.03\", expect_size=\"23129088\"] \n  28 -> 33 [size =\"23129088\"]\n  28 -> 34 [size =\"23129088\"]\n  29 [size=\"106236587\", alpha=\"0.08\", expect_size=\"31870976\"] \n  30 [size=\"79742293\", alpha=\"0.11\", expect_size=\"23922688\"] \n  30 -> 38 [size =\"23922688\"]\n  30 -> 40 [size =\"23922688\"]\n  31 [size=\"129938773\", alpha=\"0.04\", expect_size=\"38981632\"] \n  31 -> 37 [size =\"38981632\"]\n  32 [size=\"75956907\", alpha=\"0.12\", expect_size=\"22787072\"] \n  32 -> 38 [size =\"22787072\"]\n  32 -> 39 [size =\"22787072\"]\n  33 [size=\"49206613\", alpha=\"0.12\", expect_size=\"14761984\"] \n  33 -> 35 [size =\"14761984\"]\n  33 -> 39 [size =\"14761984\"]\n  34 [size=\"127802027\", alpha=\"0.13\", expect_size=\"38340608\"] \n  34 -> 35 [size =\"38340608\"]\n  34 -> 36 [size =\"38340608\"]\n  34 -> 37 [size =\"38340608\"]\n  34 -> 39 [size =\"38340608\"]\n  34 -> 40 [size =\"38340608\"]\n  35 [size=\"174127787\", alpha=\"0.14\", expect_size=\"52238336\"] \n  36 [size=\"135720960\", alpha=\"0.19\", expect_size=\"40716288\"] \n  37 [size=\"70553600\", alpha=\"0.03\", expect_size=\"21166080\"] \n  38 [size=\"76666880\", alpha=\"0.17\", expect_size=\"23000064\"] \n  39 [size=\"99491840\", alpha=\"0.01\", expect_size=\"29847552\"] \n  40 [size=\"159877120\", alpha=\"0.03\", expect_size=\"47963136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26762240\", alpha=\"0.10\", expect_size=\"10704896\"] \n  1 -> 3 [size =\"10704896\"]\n  1 -> 4 [size =\"10704896\"]\n  2 [size=\"129605120\", alpha=\"0.06\", expect_size=\"51842048\"] \n  2 -> 3 [size =\"51842048\"]\n  3 [size=\"52710400\", alpha=\"0.02\", expect_size=\"21084160\"] \n  3 -> 5 [size =\"21084160\"]\n  3 -> 6 [size =\"21084160\"]\n  3 -> 7 [size =\"21084160\"]\n  4 [size=\"36800000\", alpha=\"0.17\", expect_size=\"14720000\"] \n  4 -> 5 [size =\"14720000\"]\n  5 [size=\"92218880\", alpha=\"0.01\", expect_size=\"36887552\"] \n  5 -> 9 [size =\"36887552\"]\n  6 [size=\"25697280\", alpha=\"0.10\", expect_size=\"10278912\"] \n  6 -> 8 [size =\"10278912\"]\n  7 [size=\"50506240\", alpha=\"0.05\", expect_size=\"20202496\"] \n  7 -> 8 [size =\"20202496\"]\n  7 -> 9 [size =\"20202496\"]\n  8 [size=\"43584000\", alpha=\"0.15\", expect_size=\"17433600\"] \n  8 -> 11 [size =\"17433600\"]\n  9 [size=\"85570560\", alpha=\"0.16\", expect_size=\"34228224\"] \n  9 -> 10 [size =\"34228224\"]\n  9 -> 11 [size =\"34228224\"]\n  10 [size=\"38638080\", alpha=\"0.06\", expect_size=\"15455232\"] \n  10 -> 12 [size =\"15455232\"]\n  11 [size=\"96537600\", alpha=\"0.01\", expect_size=\"38615040\"] \n  11 -> 12 [size =\"38615040\"]\n  11 -> 13 [size =\"38615040\"]\n  12 [size=\"36784640\", alpha=\"0.17\", expect_size=\"14713856\"] \n  12 -> 14 [size =\"14713856\"]\n  13 [size=\"69634560\", alpha=\"0.03\", expect_size=\"27853824\"] \n  13 -> 15 [size =\"27853824\"]\n  13 -> 16 [size =\"27853824\"]\n  14 [size=\"79951360\", alpha=\"0.11\", expect_size=\"31980544\"] \n  14 -> 19 [size =\"31980544\"]\n  15 [size=\"61690880\", alpha=\"0.06\", expect_size=\"24676352\"] \n  15 -> 18 [size =\"24676352\"]\n  16 [size=\"66798080\", alpha=\"0.11\", expect_size=\"26719232\"] \n  16 -> 17 [size =\"26719232\"]\n  16 -> 18 [size =\"26719232\"]\n  17 [size=\"124211200\", alpha=\"0.17\", expect_size=\"49684480\"] \n  17 -> 21 [size =\"49684480\"]\n  18 [size=\"33984000\", alpha=\"0.13\", expect_size=\"13593600\"] \n  18 -> 20 [size =\"13593600\"]\n  19 [size=\"120622080\", alpha=\"0.07\", expect_size=\"48248832\"] \n  19 -> 20 [size =\"48248832\"]\n  20 [size=\"99783680\", alpha=\"0.19\", expect_size=\"39913472\"] \n  20 -> 22 [size =\"39913472\"]\n  21 [size=\"16378880\", alpha=\"0.13\", expect_size=\"6551552\"] \n  21 -> 23 [size =\"6551552\"]\n  22 [size=\"21826560\", alpha=\"0.07\", expect_size=\"8730624\"] \n  22 -> 24 [size =\"8730624\"]\n  22 -> 25 [size =\"8730624\"]\n  23 [size=\"123601920\", alpha=\"0.07\", expect_size=\"49440768\"] \n  23 -> 24 [size =\"49440768\"]\n  24 [size=\"20984320\", alpha=\"0.12\", expect_size=\"8393728\"] \n  25 [size=\"87987200\", alpha=\"0.10\", expect_size=\"35194880\"] \n  25 -> 26 [size =\"35194880\"]\n  25 -> 27 [size =\"35194880\"]\n  25 -> 28 [size =\"35194880\"]\n  26 [size=\"120737280\", alpha=\"0.10\", expect_size=\"48294912\"] \n  26 -> 29 [size =\"48294912\"]\n  27 [size=\"68812800\", alpha=\"0.16\", expect_size=\"27525120\"] \n  27 -> 30 [size =\"27525120\"]\n  28 [size=\"52119040\", alpha=\"0.08\", expect_size=\"20847616\"] \n  28 -> 30 [size =\"20847616\"]\n  29 [size=\"125977600\", alpha=\"0.11\", expect_size=\"50391040\"] \n  29 -> 31 [size =\"50391040\"]\n  29 -> 32 [size =\"50391040\"]\n  29 -> 33 [size =\"50391040\"]\n  30 [size=\"51755520\", alpha=\"0.20\", expect_size=\"20702208\"] \n  30 -> 31 [size =\"20702208\"]\n  31 [size=\"46410240\", alpha=\"0.02\", expect_size=\"18564096\"] \n  31 -> 35 [size =\"18564096\"]\n  31 -> 36 [size =\"18564096\"]\n  32 [size=\"123594240\", alpha=\"0.08\", expect_size=\"49437696\"] \n  32 -> 34 [size =\"49437696\"]\n  32 -> 35 [size =\"49437696\"]\n  33 [size=\"45918720\", alpha=\"0.04\", expect_size=\"18367488\"] \n  34 [size=\"88911360\", alpha=\"0.11\", expect_size=\"35564544\"] \n  34 -> 37 [size =\"35564544\"]\n  35 [size=\"40343040\", alpha=\"0.07\", expect_size=\"16137216\"] \n  36 [size=\"97287680\", alpha=\"0.11\", expect_size=\"38915072\"] \n  36 -> 38 [size =\"38915072\"]\n  37 [size=\"36410880\", alpha=\"0.15\", expect_size=\"14564352\"] \n  37 -> 39 [size =\"14564352\"]\n  38 [size=\"131038720\", alpha=\"0.02\", expect_size=\"52415488\"] \n  38 -> 40 [size =\"52415488\"]\n  39 [size=\"57761280\", alpha=\"0.07\", expect_size=\"23104512\"] \n  40 [size=\"124968960\", alpha=\"0.07\", expect_size=\"49987584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60772352\", alpha=\"0.03\", expect_size=\"30386176\"] \n  1 -> 10 [size =\"30386176\"]\n  2 [size=\"46034944\", alpha=\"0.08\", expect_size=\"23017472\"] \n  2 -> 9 [size =\"23017472\"]\n  2 -> 11 [size =\"23017472\"]\n  3 [size=\"77297664\", alpha=\"0.18\", expect_size=\"38648832\"] \n  3 -> 10 [size =\"38648832\"]\n  3 -> 12 [size =\"38648832\"]\n  4 [size=\"91344896\", alpha=\"0.13\", expect_size=\"45672448\"] \n  4 -> 12 [size =\"45672448\"]\n  4 -> 13 [size =\"45672448\"]\n  5 [size=\"87922688\", alpha=\"0.09\", expect_size=\"43961344\"] \n  6 [size=\"75438080\", alpha=\"0.15\", expect_size=\"37719040\"] \n  7 [size=\"62488576\", alpha=\"0.07\", expect_size=\"31244288\"] \n  7 -> 11 [size =\"31244288\"]\n  7 -> 13 [size =\"31244288\"]\n  7 -> 14 [size =\"31244288\"]\n  8 [size=\"61087744\", alpha=\"0.09\", expect_size=\"30543872\"] \n  8 -> 13 [size =\"30543872\"]\n  8 -> 13 [size =\"30543872\"]\n  8 -> 15 [size =\"30543872\"]\n  9 [size=\"53153792\", alpha=\"0.02\", expect_size=\"26576896\"] \n  9 -> 16 [size =\"26576896\"]\n  9 -> 18 [size =\"26576896\"]\n  9 -> 19 [size =\"26576896\"]\n  9 -> 20 [size =\"26576896\"]\n  10 [size=\"13971456\", alpha=\"0.02\", expect_size=\"6985728\"] \n  10 -> 16 [size =\"6985728\"]\n  10 -> 17 [size =\"6985728\"]\n  10 -> 18 [size =\"6985728\"]\n  10 -> 19 [size =\"6985728\"]\n  10 -> 20 [size =\"6985728\"]\n  11 [size=\"11315200\", alpha=\"0.03\", expect_size=\"5657600\"] \n  11 -> 16 [size =\"5657600\"]\n  11 -> 21 [size =\"5657600\"]\n  12 [size=\"27377664\", alpha=\"0.09\", expect_size=\"13688832\"] \n  12 -> 16 [size =\"13688832\"]\n  12 -> 17 [size =\"13688832\"]\n  13 [size=\"64495616\", alpha=\"0.16\", expect_size=\"32247808\"] \n  13 -> 16 [size =\"32247808\"]\n  13 -> 17 [size =\"32247808\"]\n  13 -> 19 [size =\"32247808\"]\n  13 -> 20 [size =\"32247808\"]\n  14 [size=\"54198272\", alpha=\"0.09\", expect_size=\"27099136\"] \n  14 -> 19 [size =\"27099136\"]\n  14 -> 22 [size =\"27099136\"]\n  15 [size=\"20410368\", alpha=\"0.01\", expect_size=\"10205184\"] \n  15 -> 19 [size =\"10205184\"]\n  16 [size=\"60776448\", alpha=\"0.13\", expect_size=\"30388224\"] \n  16 -> 23 [size =\"30388224\"]\n  16 -> 26 [size =\"30388224\"]\n  16 -> 28 [size =\"30388224\"]\n  17 [size=\"35258368\", alpha=\"0.15\", expect_size=\"17629184\"] \n  17 -> 26 [size =\"17629184\"]\n  17 -> 26 [size =\"17629184\"]\n  18 [size=\"66625536\", alpha=\"0.01\", expect_size=\"33312768\"] \n  18 -> 25 [size =\"33312768\"]\n  18 -> 26 [size =\"33312768\"]\n  18 -> 27 [size =\"33312768\"]\n  19 [size=\"14303232\", alpha=\"0.03\", expect_size=\"7151616\"] \n  19 -> 25 [size =\"7151616\"]\n  19 -> 26 [size =\"7151616\"]\n  20 [size=\"25995264\", alpha=\"0.06\", expect_size=\"12997632\"] \n  20 -> 25 [size =\"12997632\"]\n  21 [size=\"33783808\", alpha=\"0.19\", expect_size=\"16891904\"] \n  21 -> 24 [size =\"16891904\"]\n  21 -> 25 [size =\"16891904\"]\n  21 -> 28 [size =\"16891904\"]\n  22 [size=\"49178624\", alpha=\"0.00\", expect_size=\"24589312\"] \n  22 -> 24 [size =\"24589312\"]\n  22 -> 25 [size =\"24589312\"]\n  22 -> 28 [size =\"24589312\"]\n  23 [size=\"93046784\", alpha=\"0.16\", expect_size=\"46523392\"] \n  24 [size=\"73064448\", alpha=\"0.08\", expect_size=\"36532224\"] \n  24 -> 31 [size =\"36532224\"]\n  25 [size=\"19642368\", alpha=\"0.17\", expect_size=\"9821184\"] \n  25 -> 29 [size =\"9821184\"]\n  26 [size=\"26054656\", alpha=\"0.19\", expect_size=\"13027328\"] \n  26 -> 29 [size =\"13027328\"]\n  27 [size=\"87218176\", alpha=\"0.13\", expect_size=\"43609088\"] \n  27 -> 29 [size =\"43609088\"]\n  27 -> 30 [size =\"43609088\"]\n  28 [size=\"65636352\", alpha=\"0.17\", expect_size=\"32818176\"] \n  29 [size=\"72548352\", alpha=\"0.11\", expect_size=\"36274176\"] \n  29 -> 35 [size =\"36274176\"]\n  29 -> 36 [size =\"36274176\"]\n  30 [size=\"85608448\", alpha=\"0.05\", expect_size=\"42804224\"] \n  30 -> 32 [size =\"42804224\"]\n  30 -> 33 [size =\"42804224\"]\n  30 -> 34 [size =\"42804224\"]\n  30 -> 36 [size =\"42804224\"]\n  30 -> 37 [size =\"42804224\"]\n  30 -> 38 [size =\"42804224\"]\n  30 -> 39 [size =\"42804224\"]\n  31 [size=\"17948672\", alpha=\"0.19\", expect_size=\"8974336\"] \n  31 -> 32 [size =\"8974336\"]\n  31 -> 34 [size =\"8974336\"]\n  31 -> 38 [size =\"8974336\"]\n  32 [size=\"14231552\", alpha=\"0.17\", expect_size=\"7115776\"] \n  32 -> 40 [size =\"7115776\"]\n  33 [size=\"15634432\", alpha=\"0.06\", expect_size=\"7817216\"] \n  33 -> 40 [size =\"7817216\"]\n  34 [size=\"88971264\", alpha=\"0.05\", expect_size=\"44485632\"] \n  35 [size=\"31985664\", alpha=\"0.05\", expect_size=\"15992832\"] \n  36 [size=\"16488448\", alpha=\"0.16\", expect_size=\"8244224\"] \n  37 [size=\"13058048\", alpha=\"0.13\", expect_size=\"6529024\"] \n  37 -> 40 [size =\"6529024\"]\n  38 [size=\"73701376\", alpha=\"0.02\", expect_size=\"36850688\"] \n  39 [size=\"60276736\", alpha=\"0.11\", expect_size=\"30138368\"] \n  40 [size=\"15452160\", alpha=\"0.03\", expect_size=\"7726080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69490688\", alpha=\"0.07\", expect_size=\"34745344\"] \n  1 -> 9 [size =\"34745344\"]\n  1 -> 10 [size =\"34745344\"]\n  1 -> 11 [size =\"34745344\"]\n  2 [size=\"95268864\", alpha=\"0.14\", expect_size=\"47634432\"] \n  2 -> 7 [size =\"47634432\"]\n  2 -> 8 [size =\"47634432\"]\n  2 -> 10 [size =\"47634432\"]\n  2 -> 11 [size =\"47634432\"]\n  3 [size=\"87377920\", alpha=\"0.16\", expect_size=\"43688960\"] \n  3 -> 8 [size =\"43688960\"]\n  3 -> 8 [size =\"43688960\"]\n  3 -> 12 [size =\"43688960\"]\n  4 [size=\"78802944\", alpha=\"0.11\", expect_size=\"39401472\"] \n  4 -> 9 [size =\"39401472\"]\n  5 [size=\"24535040\", alpha=\"0.11\", expect_size=\"12267520\"] \n  5 -> 7 [size =\"12267520\"]\n  5 -> 11 [size =\"12267520\"]\n  6 [size=\"19865600\", alpha=\"0.04\", expect_size=\"9932800\"] \n  6 -> 7 [size =\"9932800\"]\n  6 -> 9 [size =\"9932800\"]\n  6 -> 10 [size =\"9932800\"]\n  7 [size=\"59197440\", alpha=\"0.15\", expect_size=\"29598720\"] \n  7 -> 14 [size =\"29598720\"]\n  7 -> 15 [size =\"29598720\"]\n  7 -> 16 [size =\"29598720\"]\n  7 -> 17 [size =\"29598720\"]\n  8 [size=\"79280128\", alpha=\"0.04\", expect_size=\"39640064\"] \n  8 -> 17 [size =\"39640064\"]\n  8 -> 18 [size =\"39640064\"]\n  9 [size=\"44740608\", alpha=\"0.19\", expect_size=\"22370304\"] \n  9 -> 13 [size =\"22370304\"]\n  9 -> 16 [size =\"22370304\"]\n  10 [size=\"18939904\", alpha=\"0.07\", expect_size=\"9469952\"] \n  10 -> 14 [size =\"9469952\"]\n  10 -> 16 [size =\"9469952\"]\n  10 -> 19 [size =\"9469952\"]\n  11 [size=\"84600832\", alpha=\"0.01\", expect_size=\"42300416\"] \n  11 -> 15 [size =\"42300416\"]\n  12 [size=\"22480896\", alpha=\"0.14\", expect_size=\"11240448\"] \n  13 [size=\"88408064\", alpha=\"0.00\", expect_size=\"44204032\"] \n  13 -> 20 [size =\"44204032\"]\n  13 -> 23 [size =\"44204032\"]\n  13 -> 25 [size =\"44204032\"]\n  14 [size=\"70789120\", alpha=\"0.14\", expect_size=\"35394560\"] \n  14 -> 23 [size =\"35394560\"]\n  14 -> 25 [size =\"35394560\"]\n  15 [size=\"26646528\", alpha=\"0.09\", expect_size=\"13323264\"] \n  15 -> 20 [size =\"13323264\"]\n  15 -> 22 [size =\"13323264\"]\n  15 -> 25 [size =\"13323264\"]\n  16 [size=\"77686784\", alpha=\"0.16\", expect_size=\"38843392\"] \n  17 [size=\"96030720\", alpha=\"0.17\", expect_size=\"48015360\"] \n  17 -> 20 [size =\"48015360\"]\n  18 [size=\"70557696\", alpha=\"0.06\", expect_size=\"35278848\"] \n  18 -> 20 [size =\"35278848\"]\n  18 -> 21 [size =\"35278848\"]\n  18 -> 24 [size =\"35278848\"]\n  19 [size=\"88078336\", alpha=\"0.06\", expect_size=\"44039168\"] \n  19 -> 25 [size =\"44039168\"]\n  20 [size=\"85319680\", alpha=\"0.16\", expect_size=\"42659840\"] \n  20 -> 27 [size =\"42659840\"]\n  20 -> 29 [size =\"42659840\"]\n  21 [size=\"26136576\", alpha=\"0.18\", expect_size=\"13068288\"] \n  21 -> 26 [size =\"13068288\"]\n  21 -> 28 [size =\"13068288\"]\n  22 [size=\"32430080\", alpha=\"0.18\", expect_size=\"16215040\"] \n  22 -> 26 [size =\"16215040\"]\n  22 -> 28 [size =\"16215040\"]\n  23 [size=\"98007040\", alpha=\"0.14\", expect_size=\"49003520\"] \n  23 -> 26 [size =\"49003520\"]\n  23 -> 28 [size =\"49003520\"]\n  24 [size=\"98461696\", alpha=\"0.05\", expect_size=\"49230848\"] \n  24 -> 30 [size =\"49230848\"]\n  25 [size=\"68540416\", alpha=\"0.19\", expect_size=\"34270208\"] \n  25 -> 27 [size =\"34270208\"]\n  26 [size=\"18188288\", alpha=\"0.15\", expect_size=\"9094144\"] \n  26 -> 31 [size =\"9094144\"]\n  26 -> 32 [size =\"9094144\"]\n  26 -> 33 [size =\"9094144\"]\n  27 [size=\"93179904\", alpha=\"0.01\", expect_size=\"46589952\"] \n  27 -> 34 [size =\"46589952\"]\n  27 -> 35 [size =\"46589952\"]\n  28 [size=\"78487552\", alpha=\"0.01\", expect_size=\"39243776\"] \n  28 -> 31 [size =\"39243776\"]\n  28 -> 34 [size =\"39243776\"]\n  29 [size=\"10749952\", alpha=\"0.09\", expect_size=\"5374976\"] \n  29 -> 31 [size =\"5374976\"]\n  29 -> 32 [size =\"5374976\"]\n  29 -> 34 [size =\"5374976\"]\n  29 -> 35 [size =\"5374976\"]\n  30 [size=\"40112128\", alpha=\"0.19\", expect_size=\"20056064\"] \n  30 -> 33 [size =\"20056064\"]\n  30 -> 35 [size =\"20056064\"]\n  31 [size=\"20258816\", alpha=\"0.05\", expect_size=\"10129408\"] \n  31 -> 37 [size =\"10129408\"]\n  32 [size=\"104564736\", alpha=\"0.13\", expect_size=\"52282368\"] \n  33 [size=\"94701568\", alpha=\"0.17\", expect_size=\"47350784\"] \n  33 -> 36 [size =\"47350784\"]\n  33 -> 40 [size =\"47350784\"]\n  34 [size=\"67557376\", alpha=\"0.14\", expect_size=\"33778688\"] \n  34 -> 38 [size =\"33778688\"]\n  34 -> 39 [size =\"33778688\"]\n  35 [size=\"91455488\", alpha=\"0.15\", expect_size=\"45727744\"] \n  35 -> 36 [size =\"45727744\"]\n  35 -> 40 [size =\"45727744\"]\n  36 [size=\"86067200\", alpha=\"0.10\", expect_size=\"43033600\"] \n  37 [size=\"60778496\", alpha=\"0.03\", expect_size=\"30389248\"] \n  38 [size=\"64296960\", alpha=\"0.09\", expect_size=\"32148480\"] \n  39 [size=\"71049216\", alpha=\"0.11\", expect_size=\"35524608\"] \n  40 [size=\"20918272\", alpha=\"0.09\", expect_size=\"10459136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130010453\", alpha=\"0.00\", expect_size=\"39003136\"] \n  1 -> 11 [size =\"39003136\"]\n  1 -> 12 [size =\"39003136\"]\n  2 [size=\"161768107\", alpha=\"0.10\", expect_size=\"48530432\"] \n  2 -> 7 [size =\"48530432\"]\n  2 -> 10 [size =\"48530432\"]\n  2 -> 13 [size =\"48530432\"]\n  3 [size=\"83258027\", alpha=\"0.05\", expect_size=\"24977408\"] \n  3 -> 8 [size =\"24977408\"]\n  3 -> 10 [size =\"24977408\"]\n  3 -> 12 [size =\"24977408\"]\n  4 [size=\"109786453\", alpha=\"0.08\", expect_size=\"32935936\"] \n  4 -> 6 [size =\"32935936\"]\n  4 -> 9 [size =\"32935936\"]\n  4 -> 10 [size =\"32935936\"]\n  4 -> 13 [size =\"32935936\"]\n  5 [size=\"91740160\", alpha=\"0.03\", expect_size=\"27522048\"] \n  5 -> 6 [size =\"27522048\"]\n  5 -> 11 [size =\"27522048\"]\n  6 [size=\"18182827\", alpha=\"0.03\", expect_size=\"5454848\"] \n  6 -> 14 [size =\"5454848\"]\n  6 -> 15 [size =\"5454848\"]\n  7 [size=\"170693973\", alpha=\"0.13\", expect_size=\"51208192\"] \n  7 -> 15 [size =\"51208192\"]\n  7 -> 15 [size =\"51208192\"]\n  8 [size=\"82476373\", alpha=\"0.08\", expect_size=\"24742912\"] \n  9 [size=\"137639253\", alpha=\"0.16\", expect_size=\"41291776\"] \n  9 -> 17 [size =\"41291776\"]\n  9 -> 18 [size =\"41291776\"]\n  10 [size=\"116698453\", alpha=\"0.03\", expect_size=\"35009536\"] \n  10 -> 17 [size =\"35009536\"]\n  11 [size=\"103806293\", alpha=\"0.19\", expect_size=\"31141888\"] \n  11 -> 16 [size =\"31141888\"]\n  12 [size=\"105625600\", alpha=\"0.18\", expect_size=\"31687680\"] \n  12 -> 15 [size =\"31687680\"]\n  13 [size=\"27299840\", alpha=\"0.14\", expect_size=\"8189952\"] \n  13 -> 18 [size =\"8189952\"]\n  14 [size=\"64085333\", alpha=\"0.09\", expect_size=\"19225600\"] \n  14 -> 21 [size =\"19225600\"]\n  14 -> 23 [size =\"19225600\"]\n  14 -> 25 [size =\"19225600\"]\n  14 -> 26 [size =\"19225600\"]\n  15 [size=\"130252800\", alpha=\"0.17\", expect_size=\"39075840\"] \n  15 -> 20 [size =\"39075840\"]\n  15 -> 22 [size =\"39075840\"]\n  15 -> 25 [size =\"39075840\"]\n  16 [size=\"154187093\", alpha=\"0.09\", expect_size=\"46256128\"] \n  16 -> 19 [size =\"46256128\"]\n  16 -> 20 [size =\"46256128\"]\n  16 -> 21 [size =\"46256128\"]\n  16 -> 24 [size =\"46256128\"]\n  16 -> 25 [size =\"46256128\"]\n  16 -> 26 [size =\"46256128\"]\n  17 [size=\"21671253\", alpha=\"0.18\", expect_size=\"6501376\"] \n  17 -> 22 [size =\"6501376\"]\n  17 -> 24 [size =\"6501376\"]\n  17 -> 26 [size =\"6501376\"]\n  18 [size=\"120173227\", alpha=\"0.20\", expect_size=\"36051968\"] \n  18 -> 21 [size =\"36051968\"]\n  18 -> 23 [size =\"36051968\"]\n  18 -> 24 [size =\"36051968\"]\n  19 [size=\"29644800\", alpha=\"0.19\", expect_size=\"8893440\"] \n  19 -> 30 [size =\"8893440\"]\n  20 [size=\"158085120\", alpha=\"0.16\", expect_size=\"47425536\"] \n  20 -> 30 [size =\"47425536\"]\n  21 [size=\"26357760\", alpha=\"0.06\", expect_size=\"7907328\"] \n  21 -> 29 [size =\"7907328\"]\n  21 -> 30 [size =\"7907328\"]\n  21 -> 31 [size =\"7907328\"]\n  22 [size=\"21609813\", alpha=\"0.15\", expect_size=\"6482944\"] \n  22 -> 29 [size =\"6482944\"]\n  22 -> 33 [size =\"6482944\"]\n  23 [size=\"167058773\", alpha=\"0.12\", expect_size=\"50117632\"] \n  23 -> 27 [size =\"50117632\"]\n  23 -> 29 [size =\"50117632\"]\n  23 -> 30 [size =\"50117632\"]\n  23 -> 31 [size =\"50117632\"]\n  24 [size=\"123221333\", alpha=\"0.01\", expect_size=\"36966400\"] \n  24 -> 27 [size =\"36966400\"]\n  24 -> 29 [size =\"36966400\"]\n  24 -> 32 [size =\"36966400\"]\n  25 [size=\"33853440\", alpha=\"0.19\", expect_size=\"10156032\"] \n  25 -> 27 [size =\"10156032\"]\n  25 -> 29 [size =\"10156032\"]\n  26 [size=\"169816747\", alpha=\"0.18\", expect_size=\"50945024\"] \n  26 -> 28 [size =\"50945024\"]\n  26 -> 30 [size =\"50945024\"]\n  26 -> 31 [size =\"50945024\"]\n  26 -> 32 [size =\"50945024\"]\n  27 [size=\"81694720\", alpha=\"0.16\", expect_size=\"24508416\"] \n  27 -> 35 [size =\"24508416\"]\n  27 -> 36 [size =\"24508416\"]\n  27 -> 37 [size =\"24508416\"]\n  28 [size=\"68208640\", alpha=\"0.02\", expect_size=\"20462592\"] \n  28 -> 36 [size =\"20462592\"]\n  29 [size=\"65945600\", alpha=\"0.03\", expect_size=\"19783680\"] \n  29 -> 35 [size =\"19783680\"]\n  30 [size=\"61934933\", alpha=\"0.17\", expect_size=\"18580480\"] \n  30 -> 34 [size =\"18580480\"]\n  31 [size=\"27538773\", alpha=\"0.02\", expect_size=\"8261632\"] \n  31 -> 36 [size =\"8261632\"]\n  31 -> 38 [size =\"8261632\"]\n  32 [size=\"75287893\", alpha=\"0.19\", expect_size=\"22586368\"] \n  32 -> 36 [size =\"22586368\"]\n  32 -> 37 [size =\"22586368\"]\n  32 -> 38 [size =\"22586368\"]\n  33 [size=\"34904747\", alpha=\"0.16\", expect_size=\"10471424\"] \n  33 -> 35 [size =\"10471424\"]\n  34 [size=\"129460907\", alpha=\"0.20\", expect_size=\"38838272\"] \n  35 [size=\"136690347\", alpha=\"0.17\", expect_size=\"41007104\"] \n  35 -> 39 [size =\"41007104\"]\n  36 [size=\"130867200\", alpha=\"0.13\", expect_size=\"39260160\"] \n  37 [size=\"112691200\", alpha=\"0.08\", expect_size=\"33807360\"] \n  37 -> 40 [size =\"33807360\"]\n  38 [size=\"78097067\", alpha=\"0.17\", expect_size=\"23429120\"] \n  38 -> 39 [size =\"23429120\"]\n  39 [size=\"92088320\", alpha=\"0.07\", expect_size=\"27626496\"] \n  40 [size=\"117541547\", alpha=\"0.15\", expect_size=\"35262464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130513920\", alpha=\"0.14\", expect_size=\"52205568\"] \n  1 -> 30 [size =\"52205568\"]\n  1 -> 36 [size =\"52205568\"]\n  1 -> 38 [size =\"52205568\"]\n  1 -> 39 [size =\"52205568\"]\n  2 [size=\"105692160\", alpha=\"0.16\", expect_size=\"42276864\"] \n  2 -> 30 [size =\"42276864\"]\n  2 -> 36 [size =\"42276864\"]\n  2 -> 39 [size =\"42276864\"]\n  3 [size=\"62074880\", alpha=\"0.09\", expect_size=\"24829952\"] \n  3 -> 32 [size =\"24829952\"]\n  3 -> 37 [size =\"24829952\"]\n  3 -> 39 [size =\"24829952\"]\n  4 [size=\"104527360\", alpha=\"0.00\", expect_size=\"41810944\"] \n  4 -> 39 [size =\"41810944\"]\n  5 [size=\"45588480\", alpha=\"0.09\", expect_size=\"18235392\"] \n  5 -> 28 [size =\"18235392\"]\n  5 -> 30 [size =\"18235392\"]\n  5 -> 32 [size =\"18235392\"]\n  5 -> 35 [size =\"18235392\"]\n  5 -> 39 [size =\"18235392\"]\n  6 [size=\"40711680\", alpha=\"0.16\", expect_size=\"16284672\"] \n  6 -> 28 [size =\"16284672\"]\n  6 -> 32 [size =\"16284672\"]\n  6 -> 34 [size =\"16284672\"]\n  6 -> 36 [size =\"16284672\"]\n  6 -> 39 [size =\"16284672\"]\n  6 -> 40 [size =\"16284672\"]\n  7 [size=\"80524800\", alpha=\"0.08\", expect_size=\"32209920\"] \n  7 -> 32 [size =\"32209920\"]\n  7 -> 33 [size =\"32209920\"]\n  7 -> 35 [size =\"32209920\"]\n  8 [size=\"49779200\", alpha=\"0.19\", expect_size=\"19911680\"] \n  8 -> 30 [size =\"19911680\"]\n  8 -> 32 [size =\"19911680\"]\n  8 -> 35 [size =\"19911680\"]\n  9 [size=\"117690880\", alpha=\"0.12\", expect_size=\"47076352\"] \n  9 -> 28 [size =\"47076352\"]\n  9 -> 30 [size =\"47076352\"]\n  9 -> 35 [size =\"47076352\"]\n  9 -> 38 [size =\"47076352\"]\n  10 [size=\"94576640\", alpha=\"0.03\", expect_size=\"37830656\"] \n  10 -> 28 [size =\"37830656\"]\n  10 -> 29 [size =\"37830656\"]\n  10 -> 30 [size =\"37830656\"]\n  10 -> 35 [size =\"37830656\"]\n  10 -> 37 [size =\"37830656\"]\n  10 -> 39 [size =\"37830656\"]\n  10 -> 40 [size =\"37830656\"]\n  11 [size=\"64227840\", alpha=\"0.13\", expect_size=\"25691136\"] \n  11 -> 30 [size =\"25691136\"]\n  11 -> 31 [size =\"25691136\"]\n  11 -> 33 [size =\"25691136\"]\n  11 -> 35 [size =\"25691136\"]\n  11 -> 37 [size =\"25691136\"]\n  12 [size=\"27069440\", alpha=\"0.16\", expect_size=\"10827776\"] \n  12 -> 35 [size =\"10827776\"]\n  13 [size=\"121978880\", alpha=\"0.20\", expect_size=\"48791552\"] \n  13 -> 30 [size =\"48791552\"]\n  13 -> 34 [size =\"48791552\"]\n  13 -> 37 [size =\"48791552\"]\n  14 [size=\"55370240\", alpha=\"0.06\", expect_size=\"22148096\"] \n  14 -> 32 [size =\"22148096\"]\n  14 -> 39 [size =\"22148096\"]\n  15 [size=\"57832960\", alpha=\"0.09\", expect_size=\"23133184\"] \n  15 -> 28 [size =\"23133184\"]\n  15 -> 32 [size =\"23133184\"]\n  15 -> 36 [size =\"23133184\"]\n  15 -> 38 [size =\"23133184\"]\n  16 [size=\"110824960\", alpha=\"0.05\", expect_size=\"44329984\"] \n  16 -> 29 [size =\"44329984\"]\n  16 -> 31 [size =\"44329984\"]\n  16 -> 37 [size =\"44329984\"]\n  17 [size=\"86645760\", alpha=\"0.10\", expect_size=\"34658304\"] \n  17 -> 37 [size =\"34658304\"]\n  17 -> 40 [size =\"34658304\"]\n  18 [size=\"16967680\", alpha=\"0.02\", expect_size=\"6787072\"] \n  18 -> 28 [size =\"6787072\"]\n  18 -> 33 [size =\"6787072\"]\n  18 -> 37 [size =\"6787072\"]\n  18 -> 39 [size =\"6787072\"]\n  19 [size=\"126909440\", alpha=\"0.13\", expect_size=\"50763776\"] \n  19 -> 28 [size =\"50763776\"]\n  19 -> 30 [size =\"50763776\"]\n  19 -> 32 [size =\"50763776\"]\n  20 [size=\"79429120\", alpha=\"0.06\", expect_size=\"31771648\"] \n  20 -> 32 [size =\"31771648\"]\n  20 -> 34 [size =\"31771648\"]\n  20 -> 35 [size =\"31771648\"]\n  20 -> 38 [size =\"31771648\"]\n  21 [size=\"98864640\", alpha=\"0.18\", expect_size=\"39545856\"] \n  21 -> 30 [size =\"39545856\"]\n  21 -> 31 [size =\"39545856\"]\n  21 -> 32 [size =\"39545856\"]\n  21 -> 33 [size =\"39545856\"]\n  21 -> 36 [size =\"39545856\"]\n  22 [size=\"60108800\", alpha=\"0.07\", expect_size=\"24043520\"] \n  22 -> 28 [size =\"24043520\"]\n  22 -> 29 [size =\"24043520\"]\n  22 -> 32 [size =\"24043520\"]\n  22 -> 36 [size =\"24043520\"]\n  22 -> 39 [size =\"24043520\"]\n  23 [size=\"37803520\", alpha=\"0.04\", expect_size=\"15121408\"] \n  23 -> 28 [size =\"15121408\"]\n  23 -> 33 [size =\"15121408\"]\n  23 -> 37 [size =\"15121408\"]\n  23 -> 39 [size =\"15121408\"]\n  24 [size=\"36730880\", alpha=\"0.16\", expect_size=\"14692352\"] \n  24 -> 33 [size =\"14692352\"]\n  24 -> 35 [size =\"14692352\"]\n  24 -> 37 [size =\"14692352\"]\n  25 [size=\"71436800\", alpha=\"0.14\", expect_size=\"28574720\"] \n  25 -> 35 [size =\"28574720\"]\n  25 -> 35 [size =\"28574720\"]\n  25 -> 36 [size =\"28574720\"]\n  25 -> 37 [size =\"28574720\"]\n  25 -> 40 [size =\"28574720\"]\n  26 [size=\"123983360\", alpha=\"0.17\", expect_size=\"49593344\"] \n  26 -> 29 [size =\"49593344\"]\n  26 -> 30 [size =\"49593344\"]\n  26 -> 31 [size =\"49593344\"]\n  26 -> 35 [size =\"49593344\"]\n  26 -> 36 [size =\"49593344\"]\n  26 -> 37 [size =\"49593344\"]\n  27 [size=\"35514880\", alpha=\"0.11\", expect_size=\"14205952\"] \n  27 -> 35 [size =\"14205952\"]\n  27 -> 37 [size =\"14205952\"]\n  27 -> 38 [size =\"14205952\"]\n  27 -> 39 [size =\"14205952\"]\n  28 [size=\"95354880\", alpha=\"0.11\", expect_size=\"38141952\"] \n  29 [size=\"109450240\", alpha=\"0.09\", expect_size=\"43780096\"] \n  30 [size=\"65902080\", alpha=\"0.01\", expect_size=\"26360832\"] \n  31 [size=\"98890240\", alpha=\"0.01\", expect_size=\"39556096\"] \n  32 [size=\"89891840\", alpha=\"0.04\", expect_size=\"35956736\"] \n  33 [size=\"13527040\", alpha=\"0.05\", expect_size=\"5410816\"] \n  34 [size=\"36733440\", alpha=\"0.14\", expect_size=\"14693376\"] \n  35 [size=\"14999040\", alpha=\"0.10\", expect_size=\"5999616\"] \n  36 [size=\"98772480\", alpha=\"0.02\", expect_size=\"39508992\"] \n  37 [size=\"79728640\", alpha=\"0.07\", expect_size=\"31891456\"] \n  38 [size=\"25287680\", alpha=\"0.13\", expect_size=\"10115072\"] \n  39 [size=\"90091520\", alpha=\"0.18\", expect_size=\"36036608\"] \n  40 [size=\"24824320\", alpha=\"0.14\", expect_size=\"9929728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19124224\", alpha=\"0.11\", expect_size=\"9562112\"] \n  1 -> 29 [size =\"9562112\"]\n  1 -> 30 [size =\"9562112\"]\n  1 -> 32 [size =\"9562112\"]\n  1 -> 34 [size =\"9562112\"]\n  1 -> 35 [size =\"9562112\"]\n  1 -> 36 [size =\"9562112\"]\n  1 -> 37 [size =\"9562112\"]\n  1 -> 38 [size =\"9562112\"]\n  1 -> 39 [size =\"9562112\"]\n  2 [size=\"30853120\", alpha=\"0.18\", expect_size=\"15426560\"] \n  2 -> 29 [size =\"15426560\"]\n  2 -> 30 [size =\"15426560\"]\n  2 -> 31 [size =\"15426560\"]\n  2 -> 36 [size =\"15426560\"]\n  2 -> 37 [size =\"15426560\"]\n  2 -> 38 [size =\"15426560\"]\n  2 -> 39 [size =\"15426560\"]\n  3 [size=\"58945536\", alpha=\"0.19\", expect_size=\"29472768\"] \n  3 -> 29 [size =\"29472768\"]\n  3 -> 30 [size =\"29472768\"]\n  3 -> 31 [size =\"29472768\"]\n  3 -> 33 [size =\"29472768\"]\n  3 -> 34 [size =\"29472768\"]\n  3 -> 35 [size =\"29472768\"]\n  3 -> 36 [size =\"29472768\"]\n  3 -> 38 [size =\"29472768\"]\n  4 [size=\"18409472\", alpha=\"0.02\", expect_size=\"9204736\"] \n  4 -> 29 [size =\"9204736\"]\n  4 -> 30 [size =\"9204736\"]\n  4 -> 31 [size =\"9204736\"]\n  4 -> 33 [size =\"9204736\"]\n  4 -> 34 [size =\"9204736\"]\n  4 -> 36 [size =\"9204736\"]\n  4 -> 38 [size =\"9204736\"]\n  4 -> 38 [size =\"9204736\"]\n  5 [size=\"80431104\", alpha=\"0.06\", expect_size=\"40215552\"] \n  5 -> 29 [size =\"40215552\"]\n  5 -> 30 [size =\"40215552\"]\n  5 -> 32 [size =\"40215552\"]\n  5 -> 33 [size =\"40215552\"]\n  5 -> 34 [size =\"40215552\"]\n  5 -> 38 [size =\"40215552\"]\n  6 [size=\"80523264\", alpha=\"0.12\", expect_size=\"40261632\"] \n  6 -> 29 [size =\"40261632\"]\n  6 -> 30 [size =\"40261632\"]\n  6 -> 32 [size =\"40261632\"]\n  6 -> 34 [size =\"40261632\"]\n  6 -> 34 [size =\"40261632\"]\n  6 -> 36 [size =\"40261632\"]\n  6 -> 38 [size =\"40261632\"]\n  7 [size=\"75825152\", alpha=\"0.06\", expect_size=\"37912576\"] \n  7 -> 29 [size =\"37912576\"]\n  7 -> 30 [size =\"37912576\"]\n  7 -> 32 [size =\"37912576\"]\n  7 -> 34 [size =\"37912576\"]\n  7 -> 36 [size =\"37912576\"]\n  7 -> 38 [size =\"37912576\"]\n  7 -> 38 [size =\"37912576\"]\n  7 -> 39 [size =\"37912576\"]\n  8 [size=\"12863488\", alpha=\"0.07\", expect_size=\"6431744\"] \n  8 -> 29 [size =\"6431744\"]\n  8 -> 30 [size =\"6431744\"]\n  8 -> 34 [size =\"6431744\"]\n  8 -> 38 [size =\"6431744\"]\n  8 -> 40 [size =\"6431744\"]\n  9 [size=\"83476480\", alpha=\"0.05\", expect_size=\"41738240\"] \n  9 -> 29 [size =\"41738240\"]\n  9 -> 30 [size =\"41738240\"]\n  9 -> 32 [size =\"41738240\"]\n  9 -> 34 [size =\"41738240\"]\n  9 -> 35 [size =\"41738240\"]\n  9 -> 36 [size =\"41738240\"]\n  9 -> 37 [size =\"41738240\"]\n  9 -> 38 [size =\"41738240\"]\n  10 [size=\"36923392\", alpha=\"0.01\", expect_size=\"18461696\"] \n  10 -> 29 [size =\"18461696\"]\n  10 -> 30 [size =\"18461696\"]\n  10 -> 31 [size =\"18461696\"]\n  10 -> 32 [size =\"18461696\"]\n  10 -> 33 [size =\"18461696\"]\n  10 -> 34 [size =\"18461696\"]\n  10 -> 36 [size =\"18461696\"]\n  10 -> 40 [size =\"18461696\"]\n  11 [size=\"90001408\", alpha=\"0.13\", expect_size=\"45000704\"] \n  11 -> 29 [size =\"45000704\"]\n  11 -> 30 [size =\"45000704\"]\n  11 -> 31 [size =\"45000704\"]\n  12 [size=\"47108096\", alpha=\"0.00\", expect_size=\"23554048\"] \n  12 -> 29 [size =\"23554048\"]\n  12 -> 30 [size =\"23554048\"]\n  12 -> 31 [size =\"23554048\"]\n  12 -> 32 [size =\"23554048\"]\n  12 -> 34 [size =\"23554048\"]\n  12 -> 37 [size =\"23554048\"]\n  12 -> 38 [size =\"23554048\"]\n  12 -> 40 [size =\"23554048\"]\n  13 [size=\"36323328\", alpha=\"0.17\", expect_size=\"18161664\"] \n  13 -> 29 [size =\"18161664\"]\n  13 -> 30 [size =\"18161664\"]\n  13 -> 31 [size =\"18161664\"]\n  13 -> 34 [size =\"18161664\"]\n  13 -> 36 [size =\"18161664\"]\n  13 -> 37 [size =\"18161664\"]\n  13 -> 38 [size =\"18161664\"]\n  14 [size=\"31021056\", alpha=\"0.09\", expect_size=\"15510528\"] \n  14 -> 29 [size =\"15510528\"]\n  14 -> 30 [size =\"15510528\"]\n  14 -> 31 [size =\"15510528\"]\n  14 -> 34 [size =\"15510528\"]\n  14 -> 36 [size =\"15510528\"]\n  14 -> 37 [size =\"15510528\"]\n  15 [size=\"41590784\", alpha=\"0.00\", expect_size=\"20795392\"] \n  15 -> 29 [size =\"20795392\"]\n  15 -> 30 [size =\"20795392\"]\n  15 -> 31 [size =\"20795392\"]\n  15 -> 32 [size =\"20795392\"]\n  15 -> 35 [size =\"20795392\"]\n  15 -> 36 [size =\"20795392\"]\n  15 -> 39 [size =\"20795392\"]\n  16 [size=\"69687296\", alpha=\"0.13\", expect_size=\"34843648\"] \n  16 -> 30 [size =\"34843648\"]\n  16 -> 31 [size =\"34843648\"]\n  16 -> 36 [size =\"34843648\"]\n  17 [size=\"32049152\", alpha=\"0.10\", expect_size=\"16024576\"] \n  17 -> 29 [size =\"16024576\"]\n  17 -> 30 [size =\"16024576\"]\n  17 -> 31 [size =\"16024576\"]\n  17 -> 32 [size =\"16024576\"]\n  17 -> 33 [size =\"16024576\"]\n  17 -> 34 [size =\"16024576\"]\n  17 -> 36 [size =\"16024576\"]\n  18 [size=\"59795456\", alpha=\"0.01\", expect_size=\"29897728\"] \n  18 -> 29 [size =\"29897728\"]\n  18 -> 30 [size =\"29897728\"]\n  18 -> 31 [size =\"29897728\"]\n  18 -> 32 [size =\"29897728\"]\n  18 -> 34 [size =\"29897728\"]\n  18 -> 35 [size =\"29897728\"]\n  18 -> 36 [size =\"29897728\"]\n  18 -> 38 [size =\"29897728\"]\n  19 [size=\"94285824\", alpha=\"0.08\", expect_size=\"47142912\"] \n  19 -> 29 [size =\"47142912\"]\n  19 -> 31 [size =\"47142912\"]\n  19 -> 31 [size =\"47142912\"]\n  19 -> 32 [size =\"47142912\"]\n  19 -> 33 [size =\"47142912\"]\n  19 -> 38 [size =\"47142912\"]\n  19 -> 39 [size =\"47142912\"]\n  20 [size=\"23724032\", alpha=\"0.15\", expect_size=\"11862016\"] \n  20 -> 29 [size =\"11862016\"]\n  20 -> 32 [size =\"11862016\"]\n  20 -> 34 [size =\"11862016\"]\n  20 -> 37 [size =\"11862016\"]\n  20 -> 38 [size =\"11862016\"]\n  20 -> 38 [size =\"11862016\"]\n  20 -> 39 [size =\"11862016\"]\n  21 [size=\"26552320\", alpha=\"0.04\", expect_size=\"13276160\"] \n  21 -> 29 [size =\"13276160\"]\n  21 -> 30 [size =\"13276160\"]\n  21 -> 32 [size =\"13276160\"]\n  21 -> 34 [size =\"13276160\"]\n  21 -> 37 [size =\"13276160\"]\n  21 -> 38 [size =\"13276160\"]\n  22 [size=\"89698304\", alpha=\"0.17\", expect_size=\"44849152\"] \n  22 -> 29 [size =\"44849152\"]\n  22 -> 30 [size =\"44849152\"]\n  22 -> 34 [size =\"44849152\"]\n  22 -> 36 [size =\"44849152\"]\n  22 -> 38 [size =\"44849152\"]\n  22 -> 38 [size =\"44849152\"]\n  22 -> 40 [size =\"44849152\"]\n  23 [size=\"91695104\", alpha=\"0.20\", expect_size=\"45847552\"] \n  23 -> 29 [size =\"45847552\"]\n  23 -> 30 [size =\"45847552\"]\n  23 -> 31 [size =\"45847552\"]\n  23 -> 34 [size =\"45847552\"]\n  24 [size=\"78381056\", alpha=\"0.05\", expect_size=\"39190528\"] \n  24 -> 29 [size =\"39190528\"]\n  24 -> 31 [size =\"39190528\"]\n  24 -> 33 [size =\"39190528\"]\n  24 -> 37 [size =\"39190528\"]\n  24 -> 38 [size =\"39190528\"]\n  24 -> 39 [size =\"39190528\"]\n  25 [size=\"26544128\", alpha=\"0.04\", expect_size=\"13272064\"] \n  25 -> 29 [size =\"13272064\"]\n  25 -> 31 [size =\"13272064\"]\n  25 -> 32 [size =\"13272064\"]\n  25 -> 34 [size =\"13272064\"]\n  25 -> 36 [size =\"13272064\"]\n  25 -> 37 [size =\"13272064\"]\n  25 -> 38 [size =\"13272064\"]\n  26 [size=\"26925056\", alpha=\"0.19\", expect_size=\"13462528\"] \n  26 -> 29 [size =\"13462528\"]\n  26 -> 30 [size =\"13462528\"]\n  26 -> 31 [size =\"13462528\"]\n  26 -> 36 [size =\"13462528\"]\n  26 -> 38 [size =\"13462528\"]\n  26 -> 39 [size =\"13462528\"]\n  27 [size=\"90558464\", alpha=\"0.07\", expect_size=\"45279232\"] \n  27 -> 30 [size =\"45279232\"]\n  27 -> 30 [size =\"45279232\"]\n  27 -> 31 [size =\"45279232\"]\n  27 -> 36 [size =\"45279232\"]\n  27 -> 38 [size =\"45279232\"]\n  28 [size=\"44767232\", alpha=\"0.16\", expect_size=\"22383616\"] \n  28 -> 30 [size =\"22383616\"]\n  28 -> 31 [size =\"22383616\"]\n  28 -> 32 [size =\"22383616\"]\n  28 -> 34 [size =\"22383616\"]\n  28 -> 36 [size =\"22383616\"]\n  28 -> 37 [size =\"22383616\"]\n  28 -> 38 [size =\"22383616\"]\n  28 -> 39 [size =\"22383616\"]\n  29 [size=\"50026496\", alpha=\"0.00\", expect_size=\"25013248\"] \n  30 [size=\"89790464\", alpha=\"0.10\", expect_size=\"44895232\"] \n  31 [size=\"66945024\", alpha=\"0.17\", expect_size=\"33472512\"] \n  32 [size=\"84498432\", alpha=\"0.11\", expect_size=\"42249216\"] \n  33 [size=\"68448256\", alpha=\"0.11\", expect_size=\"34224128\"] \n  34 [size=\"67258368\", alpha=\"0.16\", expect_size=\"33629184\"] \n  35 [size=\"88852480\", alpha=\"0.07\", expect_size=\"44426240\"] \n  36 [size=\"14430208\", alpha=\"0.10\", expect_size=\"7215104\"] \n  37 [size=\"102776832\", alpha=\"0.18\", expect_size=\"51388416\"] \n  38 [size=\"41746432\", alpha=\"0.17\", expect_size=\"20873216\"] \n  39 [size=\"22456320\", alpha=\"0.13\", expect_size=\"11228160\"] \n  40 [size=\"23529472\", alpha=\"0.12\", expect_size=\"11764736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97370112\", alpha=\"0.12\", expect_size=\"48685056\"] \n  1 -> 19 [size =\"48685056\"]\n  1 -> 21 [size =\"48685056\"]\n  1 -> 24 [size =\"48685056\"]\n  2 [size=\"103354368\", alpha=\"0.10\", expect_size=\"51677184\"] \n  2 -> 13 [size =\"51677184\"]\n  2 -> 15 [size =\"51677184\"]\n  2 -> 18 [size =\"51677184\"]\n  2 -> 23 [size =\"51677184\"]\n  2 -> 24 [size =\"51677184\"]\n  3 [size=\"102266880\", alpha=\"0.18\", expect_size=\"51133440\"] \n  3 -> 15 [size =\"51133440\"]\n  3 -> 15 [size =\"51133440\"]\n  3 -> 18 [size =\"51133440\"]\n  3 -> 19 [size =\"51133440\"]\n  3 -> 21 [size =\"51133440\"]\n  3 -> 23 [size =\"51133440\"]\n  3 -> 24 [size =\"51133440\"]\n  4 [size=\"79110144\", alpha=\"0.10\", expect_size=\"39555072\"] \n  4 -> 12 [size =\"39555072\"]\n  4 -> 13 [size =\"39555072\"]\n  4 -> 15 [size =\"39555072\"]\n  4 -> 22 [size =\"39555072\"]\n  4 -> 23 [size =\"39555072\"]\n  4 -> 23 [size =\"39555072\"]\n  4 -> 25 [size =\"39555072\"]\n  5 [size=\"74168320\", alpha=\"0.02\", expect_size=\"37084160\"] \n  5 -> 15 [size =\"37084160\"]\n  5 -> 16 [size =\"37084160\"]\n  5 -> 21 [size =\"37084160\"]\n  6 [size=\"52152320\", alpha=\"0.10\", expect_size=\"26076160\"] \n  6 -> 12 [size =\"26076160\"]\n  6 -> 15 [size =\"26076160\"]\n  6 -> 17 [size =\"26076160\"]\n  6 -> 24 [size =\"26076160\"]\n  7 [size=\"31221760\", alpha=\"0.01\", expect_size=\"15610880\"] \n  7 -> 15 [size =\"15610880\"]\n  7 -> 21 [size =\"15610880\"]\n  7 -> 23 [size =\"15610880\"]\n  8 [size=\"43364352\", alpha=\"0.16\", expect_size=\"21682176\"] \n  8 -> 15 [size =\"21682176\"]\n  8 -> 19 [size =\"21682176\"]\n  8 -> 21 [size =\"21682176\"]\n  8 -> 23 [size =\"21682176\"]\n  8 -> 24 [size =\"21682176\"]\n  9 [size=\"101732352\", alpha=\"0.02\", expect_size=\"50866176\"] \n  9 -> 18 [size =\"50866176\"]\n  9 -> 21 [size =\"50866176\"]\n  9 -> 21 [size =\"50866176\"]\n  10 [size=\"101808128\", alpha=\"0.16\", expect_size=\"50904064\"] \n  10 -> 13 [size =\"50904064\"]\n  10 -> 14 [size =\"50904064\"]\n  10 -> 23 [size =\"50904064\"]\n  11 [size=\"81733632\", alpha=\"0.20\", expect_size=\"40866816\"] \n  11 -> 13 [size =\"40866816\"]\n  11 -> 20 [size =\"40866816\"]\n  11 -> 21 [size =\"40866816\"]\n  11 -> 23 [size =\"40866816\"]\n  12 [size=\"42457088\", alpha=\"0.03\", expect_size=\"21228544\"] \n  12 -> 27 [size =\"21228544\"]\n  12 -> 28 [size =\"21228544\"]\n  12 -> 28 [size =\"21228544\"]\n  12 -> 30 [size =\"21228544\"]\n  12 -> 31 [size =\"21228544\"]\n  12 -> 32 [size =\"21228544\"]\n  12 -> 35 [size =\"21228544\"]\n  12 -> 37 [size =\"21228544\"]\n  12 -> 38 [size =\"21228544\"]\n  13 [size=\"91445248\", alpha=\"0.11\", expect_size=\"45722624\"] \n  13 -> 26 [size =\"45722624\"]\n  13 -> 28 [size =\"45722624\"]\n  13 -> 29 [size =\"45722624\"]\n  13 -> 30 [size =\"45722624\"]\n  13 -> 31 [size =\"45722624\"]\n  13 -> 36 [size =\"45722624\"]\n  13 -> 37 [size =\"45722624\"]\n  13 -> 37 [size =\"45722624\"]\n  13 -> 38 [size =\"45722624\"]\n  14 [size=\"82872320\", alpha=\"0.06\", expect_size=\"41436160\"] \n  14 -> 26 [size =\"41436160\"]\n  14 -> 27 [size =\"41436160\"]\n  14 -> 28 [size =\"41436160\"]\n  14 -> 29 [size =\"41436160\"]\n  14 -> 30 [size =\"41436160\"]\n  14 -> 31 [size =\"41436160\"]\n  14 -> 34 [size =\"41436160\"]\n  14 -> 35 [size =\"41436160\"]\n  14 -> 36 [size =\"41436160\"]\n  14 -> 37 [size =\"41436160\"]\n  14 -> 38 [size =\"41436160\"]\n  15 [size=\"34807808\", alpha=\"0.02\", expect_size=\"17403904\"] \n  15 -> 27 [size =\"17403904\"]\n  15 -> 28 [size =\"17403904\"]\n  15 -> 28 [size =\"17403904\"]\n  15 -> 29 [size =\"17403904\"]\n  15 -> 30 [size =\"17403904\"]\n  15 -> 31 [size =\"17403904\"]\n  15 -> 32 [size =\"17403904\"]\n  15 -> 37 [size =\"17403904\"]\n  15 -> 38 [size =\"17403904\"]\n  16 [size=\"42248192\", alpha=\"0.19\", expect_size=\"21124096\"] \n  16 -> 26 [size =\"21124096\"]\n  16 -> 27 [size =\"21124096\"]\n  16 -> 29 [size =\"21124096\"]\n  16 -> 29 [size =\"21124096\"]\n  16 -> 30 [size =\"21124096\"]\n  16 -> 31 [size =\"21124096\"]\n  16 -> 32 [size =\"21124096\"]\n  16 -> 37 [size =\"21124096\"]\n  16 -> 38 [size =\"21124096\"]\n  17 [size=\"87175168\", alpha=\"0.05\", expect_size=\"43587584\"] \n  17 -> 28 [size =\"43587584\"]\n  17 -> 29 [size =\"43587584\"]\n  17 -> 30 [size =\"43587584\"]\n  17 -> 31 [size =\"43587584\"]\n  17 -> 32 [size =\"43587584\"]\n  17 -> 35 [size =\"43587584\"]\n  17 -> 37 [size =\"43587584\"]\n  17 -> 37 [size =\"43587584\"]\n  18 [size=\"90292224\", alpha=\"0.19\", expect_size=\"45146112\"] \n  18 -> 26 [size =\"45146112\"]\n  18 -> 29 [size =\"45146112\"]\n  18 -> 30 [size =\"45146112\"]\n  18 -> 31 [size =\"45146112\"]\n  18 -> 32 [size =\"45146112\"]\n  18 -> 36 [size =\"45146112\"]\n  19 [size=\"71079936\", alpha=\"0.18\", expect_size=\"35539968\"] \n  19 -> 26 [size =\"35539968\"]\n  19 -> 27 [size =\"35539968\"]\n  19 -> 28 [size =\"35539968\"]\n  19 -> 29 [size =\"35539968\"]\n  19 -> 30 [size =\"35539968\"]\n  19 -> 32 [size =\"35539968\"]\n  19 -> 36 [size =\"35539968\"]\n  20 [size=\"82077696\", alpha=\"0.15\", expect_size=\"41038848\"] \n  20 -> 26 [size =\"41038848\"]\n  20 -> 29 [size =\"41038848\"]\n  20 -> 30 [size =\"41038848\"]\n  20 -> 31 [size =\"41038848\"]\n  20 -> 32 [size =\"41038848\"]\n  20 -> 34 [size =\"41038848\"]\n  20 -> 35 [size =\"41038848\"]\n  20 -> 36 [size =\"41038848\"]\n  21 [size=\"65368064\", alpha=\"0.10\", expect_size=\"32684032\"] \n  21 -> 30 [size =\"32684032\"]\n  21 -> 36 [size =\"32684032\"]\n  21 -> 37 [size =\"32684032\"]\n  21 -> 38 [size =\"32684032\"]\n  22 [size=\"64585728\", alpha=\"0.05\", expect_size=\"32292864\"] \n  22 -> 26 [size =\"32292864\"]\n  22 -> 28 [size =\"32292864\"]\n  22 -> 29 [size =\"32292864\"]\n  22 -> 30 [size =\"32292864\"]\n  22 -> 31 [size =\"32292864\"]\n  22 -> 34 [size =\"32292864\"]\n  22 -> 36 [size =\"32292864\"]\n  23 [size=\"76797952\", alpha=\"0.20\", expect_size=\"38398976\"] \n  23 -> 26 [size =\"38398976\"]\n  23 -> 28 [size =\"38398976\"]\n  23 -> 31 [size =\"38398976\"]\n  23 -> 33 [size =\"38398976\"]\n  23 -> 36 [size =\"38398976\"]\n  23 -> 38 [size =\"38398976\"]\n  24 [size=\"34582528\", alpha=\"0.09\", expect_size=\"17291264\"] \n  24 -> 26 [size =\"17291264\"]\n  24 -> 30 [size =\"17291264\"]\n  24 -> 31 [size =\"17291264\"]\n  24 -> 32 [size =\"17291264\"]\n  24 -> 33 [size =\"17291264\"]\n  24 -> 36 [size =\"17291264\"]\n  24 -> 37 [size =\"17291264\"]\n  25 [size=\"62435328\", alpha=\"0.11\", expect_size=\"31217664\"] \n  25 -> 26 [size =\"31217664\"]\n  25 -> 27 [size =\"31217664\"]\n  25 -> 28 [size =\"31217664\"]\n  25 -> 30 [size =\"31217664\"]\n  25 -> 31 [size =\"31217664\"]\n  25 -> 32 [size =\"31217664\"]\n  25 -> 37 [size =\"31217664\"]\n  26 [size=\"70637568\", alpha=\"0.02\", expect_size=\"35318784\"] \n  26 -> 40 [size =\"35318784\"]\n  27 [size=\"65775616\", alpha=\"0.18\", expect_size=\"32887808\"] \n  27 -> 39 [size =\"32887808\"]\n  28 [size=\"88840192\", alpha=\"0.00\", expect_size=\"44420096\"] \n  28 -> 40 [size =\"44420096\"]\n  29 [size=\"86042624\", alpha=\"0.02\", expect_size=\"43021312\"] \n  30 [size=\"78159872\", alpha=\"0.04\", expect_size=\"39079936\"] \n  30 -> 39 [size =\"39079936\"]\n  30 -> 40 [size =\"39079936\"]\n  31 [size=\"55248896\", alpha=\"0.00\", expect_size=\"27624448\"] \n  31 -> 39 [size =\"27624448\"]\n  31 -> 40 [size =\"27624448\"]\n  32 [size=\"104194048\", alpha=\"0.03\", expect_size=\"52097024\"] \n  32 -> 39 [size =\"52097024\"]\n  32 -> 40 [size =\"52097024\"]\n  33 [size=\"34752512\", alpha=\"0.03\", expect_size=\"17376256\"] \n  33 -> 39 [size =\"17376256\"]\n  33 -> 40 [size =\"17376256\"]\n  34 [size=\"33079296\", alpha=\"0.19\", expect_size=\"16539648\"] \n  35 [size=\"73424896\", alpha=\"0.20\", expect_size=\"36712448\"] \n  35 -> 40 [size =\"36712448\"]\n  36 [size=\"30734336\", alpha=\"0.08\", expect_size=\"15367168\"] \n  36 -> 40 [size =\"15367168\"]\n  37 [size=\"41041920\", alpha=\"0.11\", expect_size=\"20520960\"] \n  37 -> 39 [size =\"20520960\"]\n  37 -> 40 [size =\"20520960\"]\n  38 [size=\"30715904\", alpha=\"0.12\", expect_size=\"15357952\"] \n  38 -> 40 [size =\"15357952\"]\n  38 -> 40 [size =\"15357952\"]\n  39 [size=\"32632832\", alpha=\"0.06\", expect_size=\"16316416\"] \n  40 [size=\"43669504\", alpha=\"0.14\", expect_size=\"21834752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134178133\", alpha=\"0.20\", expect_size=\"40253440\"] \n  1 -> 8 [size =\"40253440\"]\n  2 [size=\"133751467\", alpha=\"0.16\", expect_size=\"40125440\"] \n  2 -> 11 [size =\"40125440\"]\n  3 [size=\"51561813\", alpha=\"0.11\", expect_size=\"15468544\"] \n  4 [size=\"66228907\", alpha=\"0.15\", expect_size=\"19868672\"] \n  4 -> 10 [size =\"19868672\"]\n  5 [size=\"95238827\", alpha=\"0.12\", expect_size=\"28571648\"] \n  5 -> 9 [size =\"28571648\"]\n  5 -> 10 [size =\"28571648\"]\n  5 -> 11 [size =\"28571648\"]\n  6 [size=\"99952640\", alpha=\"0.16\", expect_size=\"29985792\"] \n  6 -> 7 [size =\"29985792\"]\n  6 -> 11 [size =\"29985792\"]\n  7 [size=\"37864107\", alpha=\"0.03\", expect_size=\"11359232\"] \n  7 -> 16 [size =\"11359232\"]\n  8 [size=\"26183680\", alpha=\"0.17\", expect_size=\"7855104\"] \n  8 -> 12 [size =\"7855104\"]\n  9 [size=\"60446720\", alpha=\"0.15\", expect_size=\"18134016\"] \n  9 -> 13 [size =\"18134016\"]\n  9 -> 14 [size =\"18134016\"]\n  9 -> 15 [size =\"18134016\"]\n  10 [size=\"26661547\", alpha=\"0.01\", expect_size=\"7998464\"] \n  10 -> 12 [size =\"7998464\"]\n  10 -> 14 [size =\"7998464\"]\n  10 -> 15 [size =\"7998464\"]\n  10 -> 17 [size =\"7998464\"]\n  11 [size=\"116295680\", alpha=\"0.05\", expect_size=\"34888704\"] \n  11 -> 15 [size =\"34888704\"]\n  12 [size=\"114155520\", alpha=\"0.19\", expect_size=\"34246656\"] \n  12 -> 20 [size =\"34246656\"]\n  12 -> 23 [size =\"34246656\"]\n  13 [size=\"86558720\", alpha=\"0.17\", expect_size=\"25967616\"] \n  13 -> 19 [size =\"25967616\"]\n  13 -> 20 [size =\"25967616\"]\n  14 [size=\"170001067\", alpha=\"0.06\", expect_size=\"51000320\"] \n  14 -> 18 [size =\"51000320\"]\n  14 -> 19 [size =\"51000320\"]\n  15 [size=\"131628373\", alpha=\"0.08\", expect_size=\"39488512\"] \n  15 -> 21 [size =\"39488512\"]\n  15 -> 22 [size =\"39488512\"]\n  16 [size=\"70939307\", alpha=\"0.07\", expect_size=\"21281792\"] \n  16 -> 19 [size =\"21281792\"]\n  16 -> 21 [size =\"21281792\"]\n  16 -> 22 [size =\"21281792\"]\n  16 -> 23 [size =\"21281792\"]\n  17 [size=\"38417067\", alpha=\"0.00\", expect_size=\"11525120\"] \n  17 -> 18 [size =\"11525120\"]\n  17 -> 21 [size =\"11525120\"]\n  17 -> 22 [size =\"11525120\"]\n  17 -> 23 [size =\"11525120\"]\n  18 [size=\"59651413\", alpha=\"0.07\", expect_size=\"17895424\"] \n  18 -> 28 [size =\"17895424\"]\n  19 [size=\"35833173\", alpha=\"0.09\", expect_size=\"10749952\"] \n  19 -> 24 [size =\"10749952\"]\n  19 -> 29 [size =\"10749952\"]\n  20 [size=\"157125973\", alpha=\"0.14\", expect_size=\"47137792\"] \n  20 -> 26 [size =\"47137792\"]\n  20 -> 27 [size =\"47137792\"]\n  21 [size=\"168290987\", alpha=\"0.13\", expect_size=\"50487296\"] \n  21 -> 29 [size =\"50487296\"]\n  22 [size=\"50650453\", alpha=\"0.08\", expect_size=\"15195136\"] \n  22 -> 26 [size =\"15195136\"]\n  23 [size=\"43557547\", alpha=\"0.06\", expect_size=\"13067264\"] \n  23 -> 25 [size =\"13067264\"]\n  23 -> 28 [size =\"13067264\"]\n  23 -> 29 [size =\"13067264\"]\n  24 [size=\"20596053\", alpha=\"0.11\", expect_size=\"6178816\"] \n  24 -> 32 [size =\"6178816\"]\n  25 [size=\"68775253\", alpha=\"0.06\", expect_size=\"20632576\"] \n  26 [size=\"127798613\", alpha=\"0.11\", expect_size=\"38339584\"] \n  26 -> 30 [size =\"38339584\"]\n  26 -> 33 [size =\"38339584\"]\n  27 [size=\"25378133\", alpha=\"0.19\", expect_size=\"7613440\"] \n  27 -> 32 [size =\"7613440\"]\n  27 -> 34 [size =\"7613440\"]\n  28 [size=\"27583147\", alpha=\"0.08\", expect_size=\"8274944\"] \n  28 -> 31 [size =\"8274944\"]\n  29 [size=\"80448853\", alpha=\"0.02\", expect_size=\"24134656\"] \n  29 -> 30 [size =\"24134656\"]\n  30 [size=\"153572693\", alpha=\"0.18\", expect_size=\"46071808\"] \n  30 -> 35 [size =\"46071808\"]\n  30 -> 36 [size =\"46071808\"]\n  30 -> 39 [size =\"46071808\"]\n  31 [size=\"106113707\", alpha=\"0.06\", expect_size=\"31834112\"] \n  31 -> 35 [size =\"31834112\"]\n  31 -> 38 [size =\"31834112\"]\n  31 -> 39 [size =\"31834112\"]\n  32 [size=\"54780587\", alpha=\"0.06\", expect_size=\"16434176\"] \n  33 [size=\"115845120\", alpha=\"0.15\", expect_size=\"34753536\"] \n  33 -> 36 [size =\"34753536\"]\n  33 -> 38 [size =\"34753536\"]\n  34 [size=\"166109867\", alpha=\"0.04\", expect_size=\"49832960\"] \n  34 -> 35 [size =\"49832960\"]\n  34 -> 36 [size =\"49832960\"]\n  34 -> 37 [size =\"49832960\"]\n  35 [size=\"97044480\", alpha=\"0.07\", expect_size=\"29113344\"] \n  36 [size=\"143694507\", alpha=\"0.17\", expect_size=\"43108352\"] \n  36 -> 40 [size =\"43108352\"]\n  37 [size=\"73970347\", alpha=\"0.10\", expect_size=\"22191104\"] \n  38 [size=\"65549653\", alpha=\"0.07\", expect_size=\"19664896\"] \n  39 [size=\"127139840\", alpha=\"0.08\", expect_size=\"38141952\"] \n  40 [size=\"144431787\", alpha=\"0.06\", expect_size=\"43329536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91170816\", alpha=\"0.11\", expect_size=\"45585408\"] \n  1 -> 6 [size =\"45585408\"]\n  1 -> 7 [size =\"45585408\"]\n  1 -> 8 [size =\"45585408\"]\n  1 -> 9 [size =\"45585408\"]\n  1 -> 11 [size =\"45585408\"]\n  2 [size=\"58695680\", alpha=\"0.14\", expect_size=\"29347840\"] \n  2 -> 11 [size =\"29347840\"]\n  3 [size=\"88317952\", alpha=\"0.17\", expect_size=\"44158976\"] \n  3 -> 10 [size =\"44158976\"]\n  3 -> 11 [size =\"44158976\"]\n  4 [size=\"90345472\", alpha=\"0.13\", expect_size=\"45172736\"] \n  4 -> 9 [size =\"45172736\"]\n  5 [size=\"28057600\", alpha=\"0.15\", expect_size=\"14028800\"] \n  5 -> 6 [size =\"14028800\"]\n  5 -> 7 [size =\"14028800\"]\n  5 -> 10 [size =\"14028800\"]\n  6 [size=\"99481600\", alpha=\"0.11\", expect_size=\"49740800\"] \n  6 -> 12 [size =\"49740800\"]\n  6 -> 15 [size =\"49740800\"]\n  6 -> 16 [size =\"49740800\"]\n  7 [size=\"64094208\", alpha=\"0.14\", expect_size=\"32047104\"] \n  8 [size=\"16885760\", alpha=\"0.05\", expect_size=\"8442880\"] \n  8 -> 12 [size =\"8442880\"]\n  8 -> 14 [size =\"8442880\"]\n  8 -> 16 [size =\"8442880\"]\n  9 [size=\"55949312\", alpha=\"0.08\", expect_size=\"27974656\"] \n  9 -> 14 [size =\"27974656\"]\n  9 -> 15 [size =\"27974656\"]\n  10 [size=\"60518400\", alpha=\"0.01\", expect_size=\"30259200\"] \n  10 -> 13 [size =\"30259200\"]\n  10 -> 14 [size =\"30259200\"]\n  11 [size=\"94062592\", alpha=\"0.01\", expect_size=\"47031296\"] \n  11 -> 12 [size =\"47031296\"]\n  11 -> 13 [size =\"47031296\"]\n  11 -> 16 [size =\"47031296\"]\n  12 [size=\"53094400\", alpha=\"0.10\", expect_size=\"26547200\"] \n  12 -> 17 [size =\"26547200\"]\n  12 -> 19 [size =\"26547200\"]\n  12 -> 20 [size =\"26547200\"]\n  13 [size=\"25077760\", alpha=\"0.18\", expect_size=\"12538880\"] \n  13 -> 17 [size =\"12538880\"]\n  13 -> 21 [size =\"12538880\"]\n  14 [size=\"104556544\", alpha=\"0.20\", expect_size=\"52278272\"] \n  14 -> 18 [size =\"52278272\"]\n  14 -> 20 [size =\"52278272\"]\n  14 -> 21 [size =\"52278272\"]\n  15 [size=\"70903808\", alpha=\"0.10\", expect_size=\"35451904\"] \n  15 -> 22 [size =\"35451904\"]\n  16 [size=\"49348608\", alpha=\"0.05\", expect_size=\"24674304\"] \n  16 -> 18 [size =\"24674304\"]\n  16 -> 19 [size =\"24674304\"]\n  16 -> 22 [size =\"24674304\"]\n  17 [size=\"101726208\", alpha=\"0.12\", expect_size=\"50863104\"] \n  18 [size=\"72468480\", alpha=\"0.07\", expect_size=\"36234240\"] \n  18 -> 24 [size =\"36234240\"]\n  18 -> 25 [size =\"36234240\"]\n  19 [size=\"94679040\", alpha=\"0.14\", expect_size=\"47339520\"] \n  19 -> 23 [size =\"47339520\"]\n  19 -> 24 [size =\"47339520\"]\n  19 -> 25 [size =\"47339520\"]\n  20 [size=\"37146624\", alpha=\"0.01\", expect_size=\"18573312\"] \n  20 -> 25 [size =\"18573312\"]\n  21 [size=\"42104832\", alpha=\"0.05\", expect_size=\"21052416\"] \n  21 -> 23 [size =\"21052416\"]\n  21 -> 24 [size =\"21052416\"]\n  22 [size=\"47833088\", alpha=\"0.20\", expect_size=\"23916544\"] \n  22 -> 23 [size =\"23916544\"]\n  22 -> 24 [size =\"23916544\"]\n  22 -> 25 [size =\"23916544\"]\n  23 [size=\"94308352\", alpha=\"0.11\", expect_size=\"47154176\"] \n  23 -> 27 [size =\"47154176\"]\n  24 [size=\"84006912\", alpha=\"0.18\", expect_size=\"42003456\"] \n  24 -> 26 [size =\"42003456\"]\n  24 -> 28 [size =\"42003456\"]\n  25 [size=\"81786880\", alpha=\"0.10\", expect_size=\"40893440\"] \n  25 -> 26 [size =\"40893440\"]\n  25 -> 27 [size =\"40893440\"]\n  25 -> 28 [size =\"40893440\"]\n  26 [size=\"34949120\", alpha=\"0.00\", expect_size=\"17474560\"] \n  26 -> 30 [size =\"17474560\"]\n  27 [size=\"59944960\", alpha=\"0.02\", expect_size=\"29972480\"] \n  27 -> 30 [size =\"29972480\"]\n  27 -> 31 [size =\"29972480\"]\n  28 [size=\"21866496\", alpha=\"0.05\", expect_size=\"10933248\"] \n  28 -> 29 [size =\"10933248\"]\n  28 -> 31 [size =\"10933248\"]\n  29 [size=\"55951360\", alpha=\"0.18\", expect_size=\"27975680\"] \n  29 -> 32 [size =\"27975680\"]\n  29 -> 34 [size =\"27975680\"]\n  29 -> 36 [size =\"27975680\"]\n  29 -> 37 [size =\"27975680\"]\n  30 [size=\"26873856\", alpha=\"0.02\", expect_size=\"13436928\"] \n  30 -> 35 [size =\"13436928\"]\n  31 [size=\"31428608\", alpha=\"0.03\", expect_size=\"15714304\"] \n  31 -> 33 [size =\"15714304\"]\n  31 -> 34 [size =\"15714304\"]\n  31 -> 36 [size =\"15714304\"]\n  32 [size=\"55934976\", alpha=\"0.13\", expect_size=\"27967488\"] \n  32 -> 38 [size =\"27967488\"]\n  32 -> 39 [size =\"27967488\"]\n  33 [size=\"54226944\", alpha=\"0.06\", expect_size=\"27113472\"] \n  33 -> 40 [size =\"27113472\"]\n  34 [size=\"104142848\", alpha=\"0.19\", expect_size=\"52071424\"] \n  34 -> 40 [size =\"52071424\"]\n  35 [size=\"96796672\", alpha=\"0.05\", expect_size=\"48398336\"] \n  35 -> 40 [size =\"48398336\"]\n  36 [size=\"49764352\", alpha=\"0.20\", expect_size=\"24882176\"] \n  36 -> 38 [size =\"24882176\"]\n  36 -> 40 [size =\"24882176\"]\n  37 [size=\"52039680\", alpha=\"0.13\", expect_size=\"26019840\"] \n  37 -> 38 [size =\"26019840\"]\n  38 [size=\"62863360\", alpha=\"0.20\", expect_size=\"31431680\"] \n  39 [size=\"88635392\", alpha=\"0.04\", expect_size=\"44317696\"] \n  40 [size=\"80445440\", alpha=\"0.15\", expect_size=\"40222720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26084693\", alpha=\"0.19\", expect_size=\"7825408\"] \n  1 -> 12 [size =\"7825408\"]\n  1 -> 19 [size =\"7825408\"]\n  2 [size=\"174219947\", alpha=\"0.14\", expect_size=\"52265984\"] \n  2 -> 16 [size =\"52265984\"]\n  2 -> 17 [size =\"52265984\"]\n  3 [size=\"139560960\", alpha=\"0.17\", expect_size=\"41868288\"] \n  3 -> 12 [size =\"41868288\"]\n  3 -> 13 [size =\"41868288\"]\n  3 -> 16 [size =\"41868288\"]\n  3 -> 17 [size =\"41868288\"]\n  3 -> 19 [size =\"41868288\"]\n  4 [size=\"157392213\", alpha=\"0.19\", expect_size=\"47217664\"] \n  4 -> 11 [size =\"47217664\"]\n  4 -> 16 [size =\"47217664\"]\n  4 -> 19 [size =\"47217664\"]\n  5 [size=\"79008427\", alpha=\"0.04\", expect_size=\"23702528\"] \n  5 -> 13 [size =\"23702528\"]\n  5 -> 17 [size =\"23702528\"]\n  5 -> 19 [size =\"23702528\"]\n  6 [size=\"136833707\", alpha=\"0.09\", expect_size=\"41050112\"] \n  6 -> 11 [size =\"41050112\"]\n  6 -> 13 [size =\"41050112\"]\n  6 -> 17 [size =\"41050112\"]\n  6 -> 19 [size =\"41050112\"]\n  7 [size=\"22671360\", alpha=\"0.02\", expect_size=\"6801408\"] \n  7 -> 14 [size =\"6801408\"]\n  7 -> 18 [size =\"6801408\"]\n  7 -> 19 [size =\"6801408\"]\n  8 [size=\"48629760\", alpha=\"0.07\", expect_size=\"14588928\"] \n  8 -> 13 [size =\"14588928\"]\n  8 -> 16 [size =\"14588928\"]\n  8 -> 18 [size =\"14588928\"]\n  9 [size=\"56302933\", alpha=\"0.19\", expect_size=\"16890880\"] \n  9 -> 11 [size =\"16890880\"]\n  9 -> 12 [size =\"16890880\"]\n  9 -> 15 [size =\"16890880\"]\n  9 -> 16 [size =\"16890880\"]\n  9 -> 20 [size =\"16890880\"]\n  10 [size=\"79366827\", alpha=\"0.02\", expect_size=\"23810048\"] \n  10 -> 11 [size =\"23810048\"]\n  10 -> 12 [size =\"23810048\"]\n  11 [size=\"170103467\", alpha=\"0.00\", expect_size=\"51031040\"] \n  11 -> 21 [size =\"51031040\"]\n  11 -> 23 [size =\"51031040\"]\n  11 -> 28 [size =\"51031040\"]\n  12 [size=\"161235627\", alpha=\"0.02\", expect_size=\"48370688\"] \n  12 -> 21 [size =\"48370688\"]\n  12 -> 22 [size =\"48370688\"]\n  12 -> 26 [size =\"48370688\"]\n  12 -> 28 [size =\"48370688\"]\n  12 -> 30 [size =\"48370688\"]\n  13 [size=\"113390933\", alpha=\"0.16\", expect_size=\"34017280\"] \n  13 -> 22 [size =\"34017280\"]\n  13 -> 30 [size =\"34017280\"]\n  14 [size=\"93631147\", alpha=\"0.06\", expect_size=\"28089344\"] \n  14 -> 24 [size =\"28089344\"]\n  15 [size=\"84179627\", alpha=\"0.05\", expect_size=\"25253888\"] \n  15 -> 25 [size =\"25253888\"]\n  15 -> 26 [size =\"25253888\"]\n  15 -> 29 [size =\"25253888\"]\n  15 -> 30 [size =\"25253888\"]\n  16 [size=\"116206933\", alpha=\"0.18\", expect_size=\"34862080\"] \n  16 -> 21 [size =\"34862080\"]\n  16 -> 22 [size =\"34862080\"]\n  16 -> 23 [size =\"34862080\"]\n  16 -> 24 [size =\"34862080\"]\n  16 -> 26 [size =\"34862080\"]\n  17 [size=\"25995947\", alpha=\"0.16\", expect_size=\"7798784\"] \n  17 -> 21 [size =\"7798784\"]\n  17 -> 23 [size =\"7798784\"]\n  17 -> 23 [size =\"7798784\"]\n  17 -> 24 [size =\"7798784\"]\n  17 -> 26 [size =\"7798784\"]\n  17 -> 30 [size =\"7798784\"]\n  18 [size=\"38782293\", alpha=\"0.17\", expect_size=\"11634688\"] \n  18 -> 21 [size =\"11634688\"]\n  18 -> 23 [size =\"11634688\"]\n  18 -> 24 [size =\"11634688\"]\n  18 -> 27 [size =\"11634688\"]\n  18 -> 29 [size =\"11634688\"]\n  18 -> 30 [size =\"11634688\"]\n  19 [size=\"92538880\", alpha=\"0.09\", expect_size=\"27761664\"] \n  19 -> 21 [size =\"27761664\"]\n  19 -> 24 [size =\"27761664\"]\n  20 [size=\"87340373\", alpha=\"0.06\", expect_size=\"26202112\"] \n  20 -> 23 [size =\"26202112\"]\n  20 -> 24 [size =\"26202112\"]\n  20 -> 29 [size =\"26202112\"]\n  21 [size=\"100488533\", alpha=\"0.03\", expect_size=\"30146560\"] \n  21 -> 31 [size =\"30146560\"]\n  21 -> 32 [size =\"30146560\"]\n  21 -> 35 [size =\"30146560\"]\n  21 -> 36 [size =\"30146560\"]\n  22 [size=\"103973547\", alpha=\"0.20\", expect_size=\"31192064\"] \n  22 -> 31 [size =\"31192064\"]\n  22 -> 35 [size =\"31192064\"]\n  22 -> 38 [size =\"31192064\"]\n  22 -> 40 [size =\"31192064\"]\n  23 [size=\"120442880\", alpha=\"0.12\", expect_size=\"36132864\"] \n  23 -> 31 [size =\"36132864\"]\n  23 -> 35 [size =\"36132864\"]\n  23 -> 37 [size =\"36132864\"]\n  23 -> 38 [size =\"36132864\"]\n  24 [size=\"92248747\", alpha=\"0.03\", expect_size=\"27674624\"] \n  24 -> 31 [size =\"27674624\"]\n  24 -> 34 [size =\"27674624\"]\n  24 -> 38 [size =\"27674624\"]\n  24 -> 40 [size =\"27674624\"]\n  25 [size=\"143202987\", alpha=\"0.01\", expect_size=\"42960896\"] \n  25 -> 32 [size =\"42960896\"]\n  26 [size=\"24483840\", alpha=\"0.15\", expect_size=\"7345152\"] \n  26 -> 31 [size =\"7345152\"]\n  26 -> 36 [size =\"7345152\"]\n  27 [size=\"169427627\", alpha=\"0.09\", expect_size=\"50828288\"] \n  27 -> 37 [size =\"50828288\"]\n  28 [size=\"138270720\", alpha=\"0.07\", expect_size=\"41481216\"] \n  28 -> 32 [size =\"41481216\"]\n  28 -> 33 [size =\"41481216\"]\n  28 -> 37 [size =\"41481216\"]\n  28 -> 40 [size =\"41481216\"]\n  29 [size=\"113377280\", alpha=\"0.10\", expect_size=\"34013184\"] \n  29 -> 31 [size =\"34013184\"]\n  29 -> 32 [size =\"34013184\"]\n  29 -> 34 [size =\"34013184\"]\n  29 -> 40 [size =\"34013184\"]\n  30 [size=\"30419627\", alpha=\"0.01\", expect_size=\"9125888\"] \n  30 -> 32 [size =\"9125888\"]\n  30 -> 32 [size =\"9125888\"]\n  30 -> 34 [size =\"9125888\"]\n  30 -> 35 [size =\"9125888\"]\n  30 -> 39 [size =\"9125888\"]\n  31 [size=\"73987413\", alpha=\"0.11\", expect_size=\"22196224\"] \n  32 [size=\"95406080\", alpha=\"0.19\", expect_size=\"28621824\"] \n  33 [size=\"94136320\", alpha=\"0.00\", expect_size=\"28240896\"] \n  34 [size=\"34979840\", alpha=\"0.11\", expect_size=\"10493952\"] \n  35 [size=\"57849173\", alpha=\"0.10\", expect_size=\"17354752\"] \n  36 [size=\"66996907\", alpha=\"0.01\", expect_size=\"20099072\"] \n  37 [size=\"24490667\", alpha=\"0.14\", expect_size=\"7347200\"] \n  38 [size=\"92818773\", alpha=\"0.09\", expect_size=\"27845632\"] \n  39 [size=\"145844907\", alpha=\"0.14\", expect_size=\"43753472\"] \n  40 [size=\"65112747\", alpha=\"0.07\", expect_size=\"19533824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159614293\", alpha=\"0.02\", expect_size=\"47884288\"] \n  1 -> 2 [size =\"47884288\"]\n  2 [size=\"106571093\", alpha=\"0.09\", expect_size=\"31971328\"] \n  2 -> 3 [size =\"31971328\"]\n  3 [size=\"104202240\", alpha=\"0.13\", expect_size=\"31260672\"] \n  3 -> 4 [size =\"31260672\"]\n  4 [size=\"151661227\", alpha=\"0.02\", expect_size=\"45498368\"] \n  4 -> 5 [size =\"45498368\"]\n  5 [size=\"171991040\", alpha=\"0.12\", expect_size=\"51597312\"] \n  5 -> 6 [size =\"51597312\"]\n  6 [size=\"146179413\", alpha=\"0.18\", expect_size=\"43853824\"] \n  6 -> 7 [size =\"43853824\"]\n  7 [size=\"84282027\", alpha=\"0.19\", expect_size=\"25284608\"] \n  7 -> 8 [size =\"25284608\"]\n  8 [size=\"151545173\", alpha=\"0.16\", expect_size=\"45463552\"] \n  8 -> 9 [size =\"45463552\"]\n  9 [size=\"172380160\", alpha=\"0.08\", expect_size=\"51714048\"] \n  9 -> 10 [size =\"51714048\"]\n  10 [size=\"122862933\", alpha=\"0.10\", expect_size=\"36858880\"] \n  10 -> 11 [size =\"36858880\"]\n  11 [size=\"132597760\", alpha=\"0.01\", expect_size=\"39779328\"] \n  11 -> 12 [size =\"39779328\"]\n  12 [size=\"146578773\", alpha=\"0.06\", expect_size=\"43973632\"] \n  12 -> 13 [size =\"43973632\"]\n  13 [size=\"63351467\", alpha=\"0.04\", expect_size=\"19005440\"] \n  13 -> 14 [size =\"19005440\"]\n  14 [size=\"169386667\", alpha=\"0.03\", expect_size=\"50816000\"] \n  14 -> 15 [size =\"50816000\"]\n  15 [size=\"31290027\", alpha=\"0.18\", expect_size=\"9387008\"] \n  15 -> 16 [size =\"9387008\"]\n  16 [size=\"122791253\", alpha=\"0.07\", expect_size=\"36837376\"] \n  16 -> 17 [size =\"36837376\"]\n  17 [size=\"110209707\", alpha=\"0.17\", expect_size=\"33062912\"] \n  17 -> 18 [size =\"33062912\"]\n  18 [size=\"101399893\", alpha=\"0.02\", expect_size=\"30419968\"] \n  18 -> 19 [size =\"30419968\"]\n  19 [size=\"68805973\", alpha=\"0.12\", expect_size=\"20641792\"] \n  19 -> 20 [size =\"20641792\"]\n  20 [size=\"128017067\", alpha=\"0.12\", expect_size=\"38405120\"] \n  20 -> 21 [size =\"38405120\"]\n  21 [size=\"47626240\", alpha=\"0.11\", expect_size=\"14287872\"] \n  21 -> 22 [size =\"14287872\"]\n  22 [size=\"57600000\", alpha=\"0.01\", expect_size=\"17280000\"] \n  22 -> 23 [size =\"17280000\"]\n  23 [size=\"104963413\", alpha=\"0.02\", expect_size=\"31489024\"] \n  23 -> 24 [size =\"31489024\"]\n  24 [size=\"133485227\", alpha=\"0.20\", expect_size=\"40045568\"] \n  24 -> 25 [size =\"40045568\"]\n  25 [size=\"153739947\", alpha=\"0.17\", expect_size=\"46121984\"] \n  25 -> 26 [size =\"46121984\"]\n  26 [size=\"139386880\", alpha=\"0.11\", expect_size=\"41816064\"] \n  26 -> 27 [size =\"41816064\"]\n  27 [size=\"40294400\", alpha=\"0.14\", expect_size=\"12088320\"] \n  27 -> 28 [size =\"12088320\"]\n  28 [size=\"170141013\", alpha=\"0.14\", expect_size=\"51042304\"] \n  28 -> 29 [size =\"51042304\"]\n  29 [size=\"25507840\", alpha=\"0.13\", expect_size=\"7652352\"] \n  29 -> 30 [size =\"7652352\"]\n  30 [size=\"115991893\", alpha=\"0.06\", expect_size=\"34797568\"] \n  30 -> 31 [size =\"34797568\"]\n  31 [size=\"53562027\", alpha=\"0.13\", expect_size=\"16068608\"] \n  31 -> 32 [size =\"16068608\"]\n  32 [size=\"137649493\", alpha=\"0.17\", expect_size=\"41294848\"] \n  32 -> 33 [size =\"41294848\"]\n  33 [size=\"142769493\", alpha=\"0.06\", expect_size=\"42830848\"] \n  33 -> 34 [size =\"42830848\"]\n  34 [size=\"155661653\", alpha=\"0.15\", expect_size=\"46698496\"] \n  34 -> 35 [size =\"46698496\"]\n  35 [size=\"153221120\", alpha=\"0.06\", expect_size=\"45966336\"] \n  35 -> 36 [size =\"45966336\"]\n  36 [size=\"132676267\", alpha=\"0.10\", expect_size=\"39802880\"] \n  36 -> 37 [size =\"39802880\"]\n  37 [size=\"65447253\", alpha=\"0.06\", expect_size=\"19634176\"] \n  37 -> 38 [size =\"19634176\"]\n  38 [size=\"18343253\", alpha=\"0.12\", expect_size=\"5502976\"] \n  38 -> 39 [size =\"5502976\"]\n  39 [size=\"125429760\", alpha=\"0.05\", expect_size=\"37628928\"] \n  39 -> 40 [size =\"37628928\"]\n  40 [size=\"69758293\", alpha=\"0.12\", expect_size=\"20927488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126261760\", alpha=\"0.10\", expect_size=\"50504704\"] \n  2 [size=\"117061120\", alpha=\"0.11\", expect_size=\"46824448\"] \n  2 -> 8 [size =\"46824448\"]\n  2 -> 10 [size =\"46824448\"]\n  3 [size=\"92897280\", alpha=\"0.05\", expect_size=\"37158912\"] \n  3 -> 6 [size =\"37158912\"]\n  4 [size=\"114439680\", alpha=\"0.08\", expect_size=\"45775872\"] \n  4 -> 7 [size =\"45775872\"]\n  4 -> 9 [size =\"45775872\"]\n  5 [size=\"104445440\", alpha=\"0.18\", expect_size=\"41778176\"] \n  5 -> 8 [size =\"41778176\"]\n  5 -> 11 [size =\"41778176\"]\n  6 [size=\"71790080\", alpha=\"0.14\", expect_size=\"28716032\"] \n  6 -> 12 [size =\"28716032\"]\n  6 -> 14 [size =\"28716032\"]\n  6 -> 16 [size =\"28716032\"]\n  7 [size=\"125777920\", alpha=\"0.10\", expect_size=\"50311168\"] \n  7 -> 12 [size =\"50311168\"]\n  7 -> 14 [size =\"50311168\"]\n  7 -> 15 [size =\"50311168\"]\n  8 [size=\"47856640\", alpha=\"0.13\", expect_size=\"19142656\"] \n  8 -> 16 [size =\"19142656\"]\n  9 [size=\"32179200\", alpha=\"0.07\", expect_size=\"12871680\"] \n  9 -> 15 [size =\"12871680\"]\n  9 -> 16 [size =\"12871680\"]\n  10 [size=\"93253120\", alpha=\"0.12\", expect_size=\"37301248\"] \n  10 -> 12 [size =\"37301248\"]\n  10 -> 13 [size =\"37301248\"]\n  10 -> 15 [size =\"37301248\"]\n  10 -> 16 [size =\"37301248\"]\n  11 [size=\"63265280\", alpha=\"0.02\", expect_size=\"25306112\"] \n  11 -> 12 [size =\"25306112\"]\n  11 -> 15 [size =\"25306112\"]\n  11 -> 16 [size =\"25306112\"]\n  12 [size=\"124526080\", alpha=\"0.08\", expect_size=\"49810432\"] \n  12 -> 17 [size =\"49810432\"]\n  12 -> 19 [size =\"49810432\"]\n  12 -> 20 [size =\"49810432\"]\n  13 [size=\"68595200\", alpha=\"0.13\", expect_size=\"27438080\"] \n  13 -> 20 [size =\"27438080\"]\n  13 -> 22 [size =\"27438080\"]\n  14 [size=\"98106880\", alpha=\"0.07\", expect_size=\"39242752\"] \n  14 -> 18 [size =\"39242752\"]\n  14 -> 20 [size =\"39242752\"]\n  14 -> 21 [size =\"39242752\"]\n  15 [size=\"26800640\", alpha=\"0.12\", expect_size=\"10720256\"] \n  15 -> 18 [size =\"10720256\"]\n  15 -> 21 [size =\"10720256\"]\n  15 -> 22 [size =\"10720256\"]\n  16 [size=\"16913920\", alpha=\"0.10\", expect_size=\"6765568\"] \n  16 -> 17 [size =\"6765568\"]\n  16 -> 20 [size =\"6765568\"]\n  16 -> 21 [size =\"6765568\"]\n  17 [size=\"99448320\", alpha=\"0.19\", expect_size=\"39779328\"] \n  17 -> 26 [size =\"39779328\"]\n  17 -> 28 [size =\"39779328\"]\n  18 [size=\"39562240\", alpha=\"0.14\", expect_size=\"15824896\"] \n  18 -> 26 [size =\"15824896\"]\n  18 -> 28 [size =\"15824896\"]\n  19 [size=\"114705920\", alpha=\"0.10\", expect_size=\"45882368\"] \n  19 -> 23 [size =\"45882368\"]\n  19 -> 24 [size =\"45882368\"]\n  20 [size=\"36505600\", alpha=\"0.15\", expect_size=\"14602240\"] \n  20 -> 23 [size =\"14602240\"]\n  21 [size=\"104629760\", alpha=\"0.20\", expect_size=\"41851904\"] \n  21 -> 23 [size =\"41851904\"]\n  21 -> 24 [size =\"41851904\"]\n  21 -> 26 [size =\"41851904\"]\n  21 -> 28 [size =\"41851904\"]\n  22 [size=\"115601920\", alpha=\"0.02\", expect_size=\"46240768\"] \n  22 -> 23 [size =\"46240768\"]\n  22 -> 25 [size =\"46240768\"]\n  22 -> 26 [size =\"46240768\"]\n  22 -> 27 [size =\"46240768\"]\n  23 [size=\"44354560\", alpha=\"0.18\", expect_size=\"17741824\"] \n  24 [size=\"118389760\", alpha=\"0.11\", expect_size=\"47355904\"] \n  24 -> 30 [size =\"47355904\"]\n  24 -> 32 [size =\"47355904\"]\n  24 -> 33 [size =\"47355904\"]\n  25 [size=\"41190400\", alpha=\"0.19\", expect_size=\"16476160\"] \n  25 -> 29 [size =\"16476160\"]\n  25 -> 31 [size =\"16476160\"]\n  25 -> 32 [size =\"16476160\"]\n  26 [size=\"114672640\", alpha=\"0.17\", expect_size=\"45869056\"] \n  26 -> 29 [size =\"45869056\"]\n  26 -> 30 [size =\"45869056\"]\n  26 -> 31 [size =\"45869056\"]\n  26 -> 32 [size =\"45869056\"]\n  26 -> 33 [size =\"45869056\"]\n  27 [size=\"56240640\", alpha=\"0.15\", expect_size=\"22496256\"] \n  27 -> 29 [size =\"22496256\"]\n  27 -> 30 [size =\"22496256\"]\n  28 [size=\"49105920\", alpha=\"0.18\", expect_size=\"19642368\"] \n  28 -> 29 [size =\"19642368\"]\n  28 -> 30 [size =\"19642368\"]\n  28 -> 31 [size =\"19642368\"]\n  28 -> 32 [size =\"19642368\"]\n  29 [size=\"14986240\", alpha=\"0.05\", expect_size=\"5994496\"] \n  29 -> 35 [size =\"5994496\"]\n  29 -> 36 [size =\"5994496\"]\n  30 [size=\"73505280\", alpha=\"0.05\", expect_size=\"29402112\"] \n  30 -> 35 [size =\"29402112\"]\n  30 -> 36 [size =\"29402112\"]\n  30 -> 37 [size =\"29402112\"]\n  31 [size=\"45816320\", alpha=\"0.14\", expect_size=\"18326528\"] \n  31 -> 34 [size =\"18326528\"]\n  31 -> 35 [size =\"18326528\"]\n  32 [size=\"45073920\", alpha=\"0.01\", expect_size=\"18029568\"] \n  32 -> 36 [size =\"18029568\"]\n  32 -> 38 [size =\"18029568\"]\n  33 [size=\"57269760\", alpha=\"0.18\", expect_size=\"22907904\"] \n  33 -> 35 [size =\"22907904\"]\n  34 [size=\"44229120\", alpha=\"0.09\", expect_size=\"17691648\"] \n  35 [size=\"107289600\", alpha=\"0.03\", expect_size=\"42915840\"] \n  36 [size=\"101854720\", alpha=\"0.17\", expect_size=\"40741888\"] \n  36 -> 39 [size =\"40741888\"]\n  36 -> 40 [size =\"40741888\"]\n  37 [size=\"86609920\", alpha=\"0.06\", expect_size=\"34643968\"] \n  38 [size=\"56263680\", alpha=\"0.20\", expect_size=\"22505472\"] \n  39 [size=\"45565440\", alpha=\"0.11\", expect_size=\"18226176\"] \n  40 [size=\"73592320\", alpha=\"0.05\", expect_size=\"29436928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52648960\", alpha=\"0.04\", expect_size=\"21059584\"] \n  1 -> 13 [size =\"21059584\"]\n  2 [size=\"17536000\", alpha=\"0.02\", expect_size=\"7014400\"] \n  2 -> 8 [size =\"7014400\"]\n  2 -> 13 [size =\"7014400\"]\n  3 [size=\"87267840\", alpha=\"0.03\", expect_size=\"34907136\"] \n  3 -> 9 [size =\"34907136\"]\n  4 [size=\"85381120\", alpha=\"0.02\", expect_size=\"34152448\"] \n  4 -> 8 [size =\"34152448\"]\n  4 -> 10 [size =\"34152448\"]\n  4 -> 12 [size =\"34152448\"]\n  5 [size=\"97876480\", alpha=\"0.18\", expect_size=\"39150592\"] \n  5 -> 8 [size =\"39150592\"]\n  5 -> 12 [size =\"39150592\"]\n  6 [size=\"51025920\", alpha=\"0.07\", expect_size=\"20410368\"] \n  6 -> 8 [size =\"20410368\"]\n  6 -> 11 [size =\"20410368\"]\n  6 -> 13 [size =\"20410368\"]\n  7 [size=\"90754560\", alpha=\"0.17\", expect_size=\"36301824\"] \n  7 -> 8 [size =\"36301824\"]\n  7 -> 9 [size =\"36301824\"]\n  7 -> 13 [size =\"36301824\"]\n  8 [size=\"93076480\", alpha=\"0.00\", expect_size=\"37230592\"] \n  8 -> 18 [size =\"37230592\"]\n  9 [size=\"76812800\", alpha=\"0.13\", expect_size=\"30725120\"] \n  10 [size=\"58091520\", alpha=\"0.01\", expect_size=\"23236608\"] \n  10 -> 16 [size =\"23236608\"]\n  10 -> 17 [size =\"23236608\"]\n  10 -> 18 [size =\"23236608\"]\n  10 -> 19 [size =\"23236608\"]\n  11 [size=\"53824000\", alpha=\"0.03\", expect_size=\"21529600\"] \n  11 -> 14 [size =\"21529600\"]\n  11 -> 15 [size =\"21529600\"]\n  11 -> 16 [size =\"21529600\"]\n  11 -> 17 [size =\"21529600\"]\n  12 [size=\"75850240\", alpha=\"0.07\", expect_size=\"30340096\"] \n  12 -> 16 [size =\"30340096\"]\n  12 -> 17 [size =\"30340096\"]\n  13 [size=\"88591360\", alpha=\"0.20\", expect_size=\"35436544\"] \n  13 -> 17 [size =\"35436544\"]\n  14 [size=\"106746880\", alpha=\"0.18\", expect_size=\"42698752\"] \n  14 -> 21 [size =\"42698752\"]\n  14 -> 23 [size =\"42698752\"]\n  14 -> 25 [size =\"42698752\"]\n  15 [size=\"119528960\", alpha=\"0.16\", expect_size=\"47811584\"] \n  15 -> 20 [size =\"47811584\"]\n  15 -> 22 [size =\"47811584\"]\n  15 -> 23 [size =\"47811584\"]\n  15 -> 26 [size =\"47811584\"]\n  16 [size=\"106636800\", alpha=\"0.01\", expect_size=\"42654720\"] \n  16 -> 20 [size =\"42654720\"]\n  16 -> 21 [size =\"42654720\"]\n  16 -> 22 [size =\"42654720\"]\n  16 -> 24 [size =\"42654720\"]\n  16 -> 25 [size =\"42654720\"]\n  16 -> 26 [size =\"42654720\"]\n  17 [size=\"29603840\", alpha=\"0.09\", expect_size=\"11841536\"] \n  17 -> 21 [size =\"11841536\"]\n  17 -> 24 [size =\"11841536\"]\n  17 -> 26 [size =\"11841536\"]\n  18 [size=\"127887360\", alpha=\"0.17\", expect_size=\"51154944\"] \n  18 -> 20 [size =\"51154944\"]\n  18 -> 21 [size =\"51154944\"]\n  18 -> 24 [size =\"51154944\"]\n  18 -> 25 [size =\"51154944\"]\n  19 [size=\"129297920\", alpha=\"0.19\", expect_size=\"51719168\"] \n  19 -> 23 [size =\"51719168\"]\n  19 -> 25 [size =\"51719168\"]\n  20 [size=\"85972480\", alpha=\"0.19\", expect_size=\"34388992\"] \n  20 -> 28 [size =\"34388992\"]\n  20 -> 30 [size =\"34388992\"]\n  20 -> 31 [size =\"34388992\"]\n  21 [size=\"93032960\", alpha=\"0.06\", expect_size=\"37213184\"] \n  21 -> 28 [size =\"37213184\"]\n  21 -> 30 [size =\"37213184\"]\n  21 -> 33 [size =\"37213184\"]\n  22 [size=\"108574720\", alpha=\"0.14\", expect_size=\"43429888\"] \n  22 -> 32 [size =\"43429888\"]\n  22 -> 33 [size =\"43429888\"]\n  23 [size=\"30545920\", alpha=\"0.14\", expect_size=\"12218368\"] \n  23 -> 28 [size =\"12218368\"]\n  23 -> 33 [size =\"12218368\"]\n  24 [size=\"30540800\", alpha=\"0.06\", expect_size=\"12216320\"] \n  24 -> 27 [size =\"12216320\"]\n  24 -> 28 [size =\"12216320\"]\n  24 -> 29 [size =\"12216320\"]\n  24 -> 33 [size =\"12216320\"]\n  25 [size=\"17484800\", alpha=\"0.13\", expect_size=\"6993920\"] \n  25 -> 30 [size =\"6993920\"]\n  26 [size=\"113044480\", alpha=\"0.06\", expect_size=\"45217792\"] \n  26 -> 28 [size =\"45217792\"]\n  26 -> 30 [size =\"45217792\"]\n  26 -> 31 [size =\"45217792\"]\n  27 [size=\"119109120\", alpha=\"0.12\", expect_size=\"47643648\"] \n  27 -> 35 [size =\"47643648\"]\n  27 -> 36 [size =\"47643648\"]\n  28 [size=\"51571200\", alpha=\"0.12\", expect_size=\"20628480\"] \n  28 -> 34 [size =\"20628480\"]\n  28 -> 35 [size =\"20628480\"]\n  28 -> 38 [size =\"20628480\"]\n  29 [size=\"33971200\", alpha=\"0.02\", expect_size=\"13588480\"] \n  29 -> 34 [size =\"13588480\"]\n  29 -> 35 [size =\"13588480\"]\n  29 -> 36 [size =\"13588480\"]\n  29 -> 38 [size =\"13588480\"]\n  30 [size=\"30077440\", alpha=\"0.01\", expect_size=\"12030976\"] \n  30 -> 35 [size =\"12030976\"]\n  30 -> 36 [size =\"12030976\"]\n  30 -> 38 [size =\"12030976\"]\n  30 -> 38 [size =\"12030976\"]\n  31 [size=\"26352640\", alpha=\"0.06\", expect_size=\"10541056\"] \n  31 -> 36 [size =\"10541056\"]\n  31 -> 37 [size =\"10541056\"]\n  32 [size=\"62338560\", alpha=\"0.02\", expect_size=\"24935424\"] \n  32 -> 37 [size =\"24935424\"]\n  32 -> 38 [size =\"24935424\"]\n  33 [size=\"24501760\", alpha=\"0.10\", expect_size=\"9800704\"] \n  33 -> 36 [size =\"9800704\"]\n  34 [size=\"104970240\", alpha=\"0.15\", expect_size=\"41988096\"] \n  35 [size=\"22123520\", alpha=\"0.17\", expect_size=\"8849408\"] \n  36 [size=\"96663040\", alpha=\"0.16\", expect_size=\"38665216\"] \n  36 -> 39 [size =\"38665216\"]\n  37 [size=\"130575360\", alpha=\"0.17\", expect_size=\"52230144\"] \n  37 -> 40 [size =\"52230144\"]\n  38 [size=\"83545600\", alpha=\"0.18\", expect_size=\"33418240\"] \n  38 -> 40 [size =\"33418240\"]\n  39 [size=\"35545600\", alpha=\"0.18\", expect_size=\"14218240\"] \n  40 [size=\"50278400\", alpha=\"0.11\", expect_size=\"20111360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42974720\", alpha=\"0.04\", expect_size=\"17189888\"] \n  1 -> 14 [size =\"17189888\"]\n  1 -> 18 [size =\"17189888\"]\n  1 -> 19 [size =\"17189888\"]\n  1 -> 22 [size =\"17189888\"]\n  1 -> 23 [size =\"17189888\"]\n  2 [size=\"63237120\", alpha=\"0.07\", expect_size=\"25294848\"] \n  2 -> 14 [size =\"25294848\"]\n  2 -> 15 [size =\"25294848\"]\n  2 -> 20 [size =\"25294848\"]\n  2 -> 22 [size =\"25294848\"]\n  3 [size=\"19706880\", alpha=\"0.08\", expect_size=\"7882752\"] \n  3 -> 18 [size =\"7882752\"]\n  3 -> 19 [size =\"7882752\"]\n  4 [size=\"40401920\", alpha=\"0.01\", expect_size=\"16160768\"] \n  4 -> 15 [size =\"16160768\"]\n  4 -> 20 [size =\"16160768\"]\n  4 -> 23 [size =\"16160768\"]\n  4 -> 24 [size =\"16160768\"]\n  5 [size=\"69112320\", alpha=\"0.10\", expect_size=\"27644928\"] \n  5 -> 14 [size =\"27644928\"]\n  5 -> 15 [size =\"27644928\"]\n  5 -> 21 [size =\"27644928\"]\n  5 -> 24 [size =\"27644928\"]\n  6 [size=\"76902400\", alpha=\"0.00\", expect_size=\"30760960\"] \n  6 -> 13 [size =\"30760960\"]\n  6 -> 15 [size =\"30760960\"]\n  6 -> 18 [size =\"30760960\"]\n  7 [size=\"98659840\", alpha=\"0.06\", expect_size=\"39463936\"] \n  7 -> 13 [size =\"39463936\"]\n  7 -> 14 [size =\"39463936\"]\n  7 -> 15 [size =\"39463936\"]\n  7 -> 17 [size =\"39463936\"]\n  7 -> 18 [size =\"39463936\"]\n  7 -> 19 [size =\"39463936\"]\n  7 -> 23 [size =\"39463936\"]\n  7 -> 24 [size =\"39463936\"]\n  8 [size=\"26629120\", alpha=\"0.15\", expect_size=\"10651648\"] \n  8 -> 14 [size =\"10651648\"]\n  8 -> 15 [size =\"10651648\"]\n  8 -> 16 [size =\"10651648\"]\n  8 -> 17 [size =\"10651648\"]\n  8 -> 18 [size =\"10651648\"]\n  8 -> 20 [size =\"10651648\"]\n  8 -> 24 [size =\"10651648\"]\n  9 [size=\"55616000\", alpha=\"0.05\", expect_size=\"22246400\"] \n  9 -> 12 [size =\"22246400\"]\n  9 -> 15 [size =\"22246400\"]\n  9 -> 17 [size =\"22246400\"]\n  9 -> 18 [size =\"22246400\"]\n  9 -> 19 [size =\"22246400\"]\n  9 -> 22 [size =\"22246400\"]\n  9 -> 23 [size =\"22246400\"]\n  9 -> 24 [size =\"22246400\"]\n  10 [size=\"64872960\", alpha=\"0.20\", expect_size=\"25949184\"] \n  10 -> 13 [size =\"25949184\"]\n  10 -> 14 [size =\"25949184\"]\n  10 -> 19 [size =\"25949184\"]\n  10 -> 24 [size =\"25949184\"]\n  11 [size=\"62656000\", alpha=\"0.07\", expect_size=\"25062400\"] \n  11 -> 12 [size =\"25062400\"]\n  11 -> 15 [size =\"25062400\"]\n  11 -> 18 [size =\"25062400\"]\n  11 -> 19 [size =\"25062400\"]\n  11 -> 21 [size =\"25062400\"]\n  11 -> 22 [size =\"25062400\"]\n  12 [size=\"84551680\", alpha=\"0.11\", expect_size=\"33820672\"] \n  12 -> 26 [size =\"33820672\"]\n  12 -> 27 [size =\"33820672\"]\n  12 -> 31 [size =\"33820672\"]\n  12 -> 33 [size =\"33820672\"]\n  12 -> 36 [size =\"33820672\"]\n  12 -> 37 [size =\"33820672\"]\n  13 [size=\"126551040\", alpha=\"0.01\", expect_size=\"50620416\"] \n  13 -> 26 [size =\"50620416\"]\n  13 -> 27 [size =\"50620416\"]\n  13 -> 28 [size =\"50620416\"]\n  13 -> 33 [size =\"50620416\"]\n  13 -> 35 [size =\"50620416\"]\n  14 [size=\"57054720\", alpha=\"0.14\", expect_size=\"22821888\"] \n  14 -> 25 [size =\"22821888\"]\n  14 -> 26 [size =\"22821888\"]\n  14 -> 27 [size =\"22821888\"]\n  14 -> 32 [size =\"22821888\"]\n  14 -> 33 [size =\"22821888\"]\n  14 -> 35 [size =\"22821888\"]\n  14 -> 37 [size =\"22821888\"]\n  15 [size=\"65758720\", alpha=\"0.13\", expect_size=\"26303488\"] \n  15 -> 26 [size =\"26303488\"]\n  15 -> 27 [size =\"26303488\"]\n  15 -> 28 [size =\"26303488\"]\n  15 -> 29 [size =\"26303488\"]\n  15 -> 30 [size =\"26303488\"]\n  15 -> 32 [size =\"26303488\"]\n  15 -> 33 [size =\"26303488\"]\n  15 -> 35 [size =\"26303488\"]\n  15 -> 37 [size =\"26303488\"]\n  16 [size=\"124267520\", alpha=\"0.04\", expect_size=\"49707008\"] \n  16 -> 25 [size =\"49707008\"]\n  16 -> 26 [size =\"49707008\"]\n  16 -> 28 [size =\"49707008\"]\n  16 -> 33 [size =\"49707008\"]\n  16 -> 35 [size =\"49707008\"]\n  17 [size=\"124398080\", alpha=\"0.14\", expect_size=\"49759232\"] \n  17 -> 25 [size =\"49759232\"]\n  17 -> 28 [size =\"49759232\"]\n  17 -> 30 [size =\"49759232\"]\n  17 -> 35 [size =\"49759232\"]\n  17 -> 37 [size =\"49759232\"]\n  18 [size=\"42885120\", alpha=\"0.10\", expect_size=\"17154048\"] \n  18 -> 26 [size =\"17154048\"]\n  18 -> 28 [size =\"17154048\"]\n  18 -> 34 [size =\"17154048\"]\n  18 -> 35 [size =\"17154048\"]\n  19 [size=\"128770560\", alpha=\"0.01\", expect_size=\"51508224\"] \n  19 -> 26 [size =\"51508224\"]\n  19 -> 30 [size =\"51508224\"]\n  19 -> 32 [size =\"51508224\"]\n  19 -> 34 [size =\"51508224\"]\n  20 [size=\"40207360\", alpha=\"0.02\", expect_size=\"16082944\"] \n  20 -> 25 [size =\"16082944\"]\n  20 -> 29 [size =\"16082944\"]\n  20 -> 32 [size =\"16082944\"]\n  20 -> 36 [size =\"16082944\"]\n  20 -> 37 [size =\"16082944\"]\n  21 [size=\"37468160\", alpha=\"0.09\", expect_size=\"14987264\"] \n  21 -> 27 [size =\"14987264\"]\n  21 -> 29 [size =\"14987264\"]\n  21 -> 32 [size =\"14987264\"]\n  21 -> 35 [size =\"14987264\"]\n  21 -> 37 [size =\"14987264\"]\n  22 [size=\"78448640\", alpha=\"0.04\", expect_size=\"31379456\"] \n  22 -> 26 [size =\"31379456\"]\n  22 -> 28 [size =\"31379456\"]\n  22 -> 32 [size =\"31379456\"]\n  22 -> 35 [size =\"31379456\"]\n  23 [size=\"23285760\", alpha=\"0.00\", expect_size=\"9314304\"] \n  23 -> 34 [size =\"9314304\"]\n  23 -> 35 [size =\"9314304\"]\n  24 [size=\"31006720\", alpha=\"0.01\", expect_size=\"12402688\"] \n  24 -> 26 [size =\"12402688\"]\n  24 -> 27 [size =\"12402688\"]\n  24 -> 31 [size =\"12402688\"]\n  25 [size=\"115110400\", alpha=\"0.11\", expect_size=\"46044160\"] \n  26 [size=\"71943680\", alpha=\"0.12\", expect_size=\"28777472\"] \n  27 [size=\"95905280\", alpha=\"0.08\", expect_size=\"38362112\"] \n  27 -> 40 [size =\"38362112\"]\n  28 [size=\"59407360\", alpha=\"0.06\", expect_size=\"23762944\"] \n  29 [size=\"117253120\", alpha=\"0.11\", expect_size=\"46901248\"] \n  29 -> 39 [size =\"46901248\"]\n  30 [size=\"122649600\", alpha=\"0.05\", expect_size=\"49059840\"] \n  30 -> 38 [size =\"49059840\"]\n  31 [size=\"18859520\", alpha=\"0.07\", expect_size=\"7543808\"] \n  31 -> 38 [size =\"7543808\"]\n  32 [size=\"71682560\", alpha=\"0.02\", expect_size=\"28673024\"] \n  33 [size=\"95313920\", alpha=\"0.15\", expect_size=\"38125568\"] \n  33 -> 38 [size =\"38125568\"]\n  34 [size=\"96360960\", alpha=\"0.16\", expect_size=\"38544384\"] \n  34 -> 38 [size =\"38544384\"]\n  35 [size=\"102113280\", alpha=\"0.06\", expect_size=\"40845312\"] \n  36 [size=\"50618880\", alpha=\"0.15\", expect_size=\"20247552\"] \n  37 [size=\"123635200\", alpha=\"0.03\", expect_size=\"49454080\"] \n  37 -> 40 [size =\"49454080\"]\n  38 [size=\"52823040\", alpha=\"0.16\", expect_size=\"21129216\"] \n  39 [size=\"87628800\", alpha=\"0.08\", expect_size=\"35051520\"] \n  40 [size=\"34639360\", alpha=\"0.05\", expect_size=\"13855744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87869440\", alpha=\"0.07\", expect_size=\"35147776\"] \n  1 -> 6 [size =\"35147776\"]\n  2 [size=\"66618880\", alpha=\"0.07\", expect_size=\"26647552\"] \n  2 -> 4 [size =\"26647552\"]\n  2 -> 5 [size =\"26647552\"]\n  2 -> 7 [size =\"26647552\"]\n  3 [size=\"38932480\", alpha=\"0.13\", expect_size=\"15572992\"] \n  3 -> 4 [size =\"15572992\"]\n  3 -> 7 [size =\"15572992\"]\n  4 [size=\"40985600\", alpha=\"0.02\", expect_size=\"16394240\"] \n  4 -> 8 [size =\"16394240\"]\n  4 -> 9 [size =\"16394240\"]\n  4 -> 10 [size =\"16394240\"]\n  4 -> 11 [size =\"16394240\"]\n  5 [size=\"98951680\", alpha=\"0.01\", expect_size=\"39580672\"] \n  6 [size=\"94945280\", alpha=\"0.17\", expect_size=\"37978112\"] \n  7 [size=\"77009920\", alpha=\"0.20\", expect_size=\"30803968\"] \n  7 -> 11 [size =\"30803968\"]\n  8 [size=\"32732160\", alpha=\"0.18\", expect_size=\"13092864\"] \n  9 [size=\"93969920\", alpha=\"0.08\", expect_size=\"37587968\"] \n  9 -> 12 [size =\"37587968\"]\n  10 [size=\"44408320\", alpha=\"0.03\", expect_size=\"17763328\"] \n  10 -> 12 [size =\"17763328\"]\n  11 [size=\"84623360\", alpha=\"0.13\", expect_size=\"33849344\"] \n  11 -> 12 [size =\"33849344\"]\n  12 [size=\"125332480\", alpha=\"0.00\", expect_size=\"50132992\"] \n  12 -> 13 [size =\"50132992\"]\n  12 -> 14 [size =\"50132992\"]\n  12 -> 15 [size =\"50132992\"]\n  13 [size=\"51358720\", alpha=\"0.13\", expect_size=\"20543488\"] \n  13 -> 16 [size =\"20543488\"]\n  14 [size=\"126952960\", alpha=\"0.08\", expect_size=\"50781184\"] \n  14 -> 17 [size =\"50781184\"]\n  15 [size=\"19000320\", alpha=\"0.01\", expect_size=\"7600128\"] \n  15 -> 17 [size =\"7600128\"]\n  16 [size=\"25953280\", alpha=\"0.00\", expect_size=\"10381312\"] \n  16 -> 19 [size =\"10381312\"]\n  16 -> 20 [size =\"10381312\"]\n  16 -> 21 [size =\"10381312\"]\n  17 [size=\"126958080\", alpha=\"0.17\", expect_size=\"50783232\"] \n  17 -> 18 [size =\"50783232\"]\n  17 -> 19 [size =\"50783232\"]\n  17 -> 21 [size =\"50783232\"]\n  18 [size=\"124592640\", alpha=\"0.20\", expect_size=\"49837056\"] \n  18 -> 22 [size =\"49837056\"]\n  18 -> 23 [size =\"49837056\"]\n  19 [size=\"111633920\", alpha=\"0.08\", expect_size=\"44653568\"] \n  20 [size=\"43018240\", alpha=\"0.14\", expect_size=\"17207296\"] \n  20 -> 24 [size =\"17207296\"]\n  21 [size=\"58941440\", alpha=\"0.13\", expect_size=\"23576576\"] \n  22 [size=\"15475200\", alpha=\"0.00\", expect_size=\"6190080\"] \n  22 -> 26 [size =\"6190080\"]\n  23 [size=\"17597440\", alpha=\"0.12\", expect_size=\"7038976\"] \n  23 -> 25 [size =\"7038976\"]\n  23 -> 26 [size =\"7038976\"]\n  24 [size=\"92165120\", alpha=\"0.09\", expect_size=\"36866048\"] \n  24 -> 25 [size =\"36866048\"]\n  25 [size=\"22036480\", alpha=\"0.00\", expect_size=\"8814592\"] \n  25 -> 27 [size =\"8814592\"]\n  25 -> 28 [size =\"8814592\"]\n  25 -> 29 [size =\"8814592\"]\n  26 [size=\"25640960\", alpha=\"0.05\", expect_size=\"10256384\"] \n  26 -> 28 [size =\"10256384\"]\n  26 -> 29 [size =\"10256384\"]\n  27 [size=\"27850240\", alpha=\"0.01\", expect_size=\"11140096\"] \n  27 -> 32 [size =\"11140096\"]\n  28 [size=\"127037440\", alpha=\"0.01\", expect_size=\"50814976\"] \n  28 -> 30 [size =\"50814976\"]\n  29 [size=\"124277760\", alpha=\"0.14\", expect_size=\"49711104\"] \n  29 -> 30 [size =\"49711104\"]\n  29 -> 31 [size =\"49711104\"]\n  29 -> 32 [size =\"49711104\"]\n  30 [size=\"54696960\", alpha=\"0.12\", expect_size=\"21878784\"] \n  30 -> 33 [size =\"21878784\"]\n  30 -> 35 [size =\"21878784\"]\n  31 [size=\"19658240\", alpha=\"0.02\", expect_size=\"7863296\"] \n  31 -> 35 [size =\"7863296\"]\n  32 [size=\"93921280\", alpha=\"0.12\", expect_size=\"37568512\"] \n  32 -> 33 [size =\"37568512\"]\n  32 -> 34 [size =\"37568512\"]\n  32 -> 36 [size =\"37568512\"]\n  33 [size=\"95070720\", alpha=\"0.08\", expect_size=\"38028288\"] \n  34 [size=\"48936960\", alpha=\"0.03\", expect_size=\"19574784\"] \n  34 -> 38 [size =\"19574784\"]\n  34 -> 39 [size =\"19574784\"]\n  35 [size=\"101360640\", alpha=\"0.19\", expect_size=\"40544256\"] \n  35 -> 37 [size =\"40544256\"]\n  35 -> 38 [size =\"40544256\"]\n  36 [size=\"102261760\", alpha=\"0.18\", expect_size=\"40904704\"] \n  36 -> 37 [size =\"40904704\"]\n  36 -> 39 [size =\"40904704\"]\n  37 [size=\"15511040\", alpha=\"0.15\", expect_size=\"6204416\"] \n  38 [size=\"22978560\", alpha=\"0.12\", expect_size=\"9191424\"] \n  38 -> 40 [size =\"9191424\"]\n  39 [size=\"26324480\", alpha=\"0.05\", expect_size=\"10529792\"] \n  40 [size=\"106414080\", alpha=\"0.04\", expect_size=\"42565632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56952320\", alpha=\"0.11\", expect_size=\"22780928\"] \n  1 -> 2 [size =\"22780928\"]\n  2 [size=\"118612480\", alpha=\"0.13\", expect_size=\"47444992\"] \n  2 -> 3 [size =\"47444992\"]\n  3 [size=\"50199040\", alpha=\"0.13\", expect_size=\"20079616\"] \n  3 -> 4 [size =\"20079616\"]\n  4 [size=\"24025600\", alpha=\"0.10\", expect_size=\"9610240\"] \n  4 -> 5 [size =\"9610240\"]\n  5 [size=\"110039040\", alpha=\"0.10\", expect_size=\"44015616\"] \n  5 -> 6 [size =\"44015616\"]\n  6 [size=\"20469760\", alpha=\"0.13\", expect_size=\"8187904\"] \n  6 -> 7 [size =\"8187904\"]\n  7 [size=\"23549440\", alpha=\"0.00\", expect_size=\"9419776\"] \n  7 -> 8 [size =\"9419776\"]\n  8 [size=\"50997760\", alpha=\"0.11\", expect_size=\"20399104\"] \n  8 -> 9 [size =\"20399104\"]\n  9 [size=\"71616000\", alpha=\"0.01\", expect_size=\"28646400\"] \n  9 -> 10 [size =\"28646400\"]\n  10 [size=\"63792640\", alpha=\"0.13\", expect_size=\"25517056\"] \n  10 -> 11 [size =\"25517056\"]\n  11 [size=\"104711680\", alpha=\"0.18\", expect_size=\"41884672\"] \n  11 -> 12 [size =\"41884672\"]\n  12 [size=\"49891840\", alpha=\"0.11\", expect_size=\"19956736\"] \n  12 -> 13 [size =\"19956736\"]\n  13 [size=\"127616000\", alpha=\"0.09\", expect_size=\"51046400\"] \n  13 -> 14 [size =\"51046400\"]\n  14 [size=\"86218240\", alpha=\"0.11\", expect_size=\"34487296\"] \n  14 -> 15 [size =\"34487296\"]\n  15 [size=\"29877760\", alpha=\"0.14\", expect_size=\"11951104\"] \n  15 -> 16 [size =\"11951104\"]\n  16 [size=\"90350080\", alpha=\"0.08\", expect_size=\"36140032\"] \n  16 -> 17 [size =\"36140032\"]\n  17 [size=\"51875840\", alpha=\"0.08\", expect_size=\"20750336\"] \n  17 -> 18 [size =\"20750336\"]\n  18 [size=\"53278720\", alpha=\"0.02\", expect_size=\"21311488\"] \n  18 -> 19 [size =\"21311488\"]\n  19 [size=\"115466240\", alpha=\"0.18\", expect_size=\"46186496\"] \n  19 -> 20 [size =\"46186496\"]\n  20 [size=\"120035840\", alpha=\"0.06\", expect_size=\"48014336\"] \n  20 -> 21 [size =\"48014336\"]\n  21 [size=\"80355840\", alpha=\"0.03\", expect_size=\"32142336\"] \n  21 -> 22 [size =\"32142336\"]\n  22 [size=\"67624960\", alpha=\"0.17\", expect_size=\"27049984\"] \n  22 -> 23 [size =\"27049984\"]\n  23 [size=\"16960000\", alpha=\"0.17\", expect_size=\"6784000\"] \n  23 -> 24 [size =\"6784000\"]\n  24 [size=\"71639040\", alpha=\"0.19\", expect_size=\"28655616\"] \n  24 -> 25 [size =\"28655616\"]\n  25 [size=\"19791360\", alpha=\"0.18\", expect_size=\"7916544\"] \n  25 -> 26 [size =\"7916544\"]\n  26 [size=\"103810560\", alpha=\"0.18\", expect_size=\"41524224\"] \n  26 -> 27 [size =\"41524224\"]\n  27 [size=\"35056640\", alpha=\"0.20\", expect_size=\"14022656\"] \n  27 -> 28 [size =\"14022656\"]\n  28 [size=\"79557120\", alpha=\"0.08\", expect_size=\"31822848\"] \n  28 -> 29 [size =\"31822848\"]\n  29 [size=\"92316160\", alpha=\"0.06\", expect_size=\"36926464\"] \n  29 -> 30 [size =\"36926464\"]\n  30 [size=\"77665280\", alpha=\"0.12\", expect_size=\"31066112\"] \n  30 -> 31 [size =\"31066112\"]\n  31 [size=\"114798080\", alpha=\"0.14\", expect_size=\"45919232\"] \n  31 -> 32 [size =\"45919232\"]\n  32 [size=\"129597440\", alpha=\"0.03\", expect_size=\"51838976\"] \n  32 -> 33 [size =\"51838976\"]\n  33 [size=\"109606400\", alpha=\"0.11\", expect_size=\"43842560\"] \n  33 -> 34 [size =\"43842560\"]\n  34 [size=\"91916800\", alpha=\"0.11\", expect_size=\"36766720\"] \n  34 -> 35 [size =\"36766720\"]\n  35 [size=\"87447040\", alpha=\"0.14\", expect_size=\"34978816\"] \n  35 -> 36 [size =\"34978816\"]\n  36 [size=\"75166720\", alpha=\"0.10\", expect_size=\"30066688\"] \n  36 -> 37 [size =\"30066688\"]\n  37 [size=\"62438400\", alpha=\"0.13\", expect_size=\"24975360\"] \n  37 -> 38 [size =\"24975360\"]\n  38 [size=\"59704320\", alpha=\"0.02\", expect_size=\"23881728\"] \n  38 -> 39 [size =\"23881728\"]\n  39 [size=\"104857600\", alpha=\"0.09\", expect_size=\"41943040\"] \n  39 -> 40 [size =\"41943040\"]\n  40 [size=\"20477440\", alpha=\"0.14\", expect_size=\"8190976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12445696\", alpha=\"0.02\", expect_size=\"6222848\"] \n  1 -> 8 [size =\"6222848\"]\n  1 -> 10 [size =\"6222848\"]\n  1 -> 11 [size =\"6222848\"]\n  2 [size=\"11253760\", alpha=\"0.11\", expect_size=\"5626880\"] \n  2 -> 6 [size =\"5626880\"]\n  2 -> 9 [size =\"5626880\"]\n  3 [size=\"67291136\", alpha=\"0.02\", expect_size=\"33645568\"] \n  3 -> 6 [size =\"33645568\"]\n  3 -> 7 [size =\"33645568\"]\n  3 -> 9 [size =\"33645568\"]\n  3 -> 11 [size =\"33645568\"]\n  4 [size=\"11712512\", alpha=\"0.11\", expect_size=\"5856256\"] \n  4 -> 6 [size =\"5856256\"]\n  4 -> 7 [size =\"5856256\"]\n  4 -> 9 [size =\"5856256\"]\n  4 -> 10 [size =\"5856256\"]\n  4 -> 11 [size =\"5856256\"]\n  5 [size=\"58742784\", alpha=\"0.19\", expect_size=\"29371392\"] \n  5 -> 10 [size =\"29371392\"]\n  6 [size=\"78872576\", alpha=\"0.10\", expect_size=\"39436288\"] \n  6 -> 12 [size =\"39436288\"]\n  6 -> 14 [size =\"39436288\"]\n  6 -> 15 [size =\"39436288\"]\n  6 -> 16 [size =\"39436288\"]\n  7 [size=\"64440320\", alpha=\"0.09\", expect_size=\"32220160\"] \n  7 -> 16 [size =\"32220160\"]\n  8 [size=\"53463040\", alpha=\"0.13\", expect_size=\"26731520\"] \n  8 -> 15 [size =\"26731520\"]\n  8 -> 16 [size =\"26731520\"]\n  8 -> 17 [size =\"26731520\"]\n  9 [size=\"100829184\", alpha=\"0.02\", expect_size=\"50414592\"] \n  9 -> 15 [size =\"50414592\"]\n  10 [size=\"40697856\", alpha=\"0.09\", expect_size=\"20348928\"] \n  10 -> 13 [size =\"20348928\"]\n  10 -> 15 [size =\"20348928\"]\n  11 [size=\"12550144\", alpha=\"0.06\", expect_size=\"6275072\"] \n  11 -> 12 [size =\"6275072\"]\n  11 -> 14 [size =\"6275072\"]\n  12 [size=\"23949312\", alpha=\"0.02\", expect_size=\"11974656\"] \n  12 -> 18 [size =\"11974656\"]\n  12 -> 19 [size =\"11974656\"]\n  12 -> 20 [size =\"11974656\"]\n  12 -> 21 [size =\"11974656\"]\n  12 -> 22 [size =\"11974656\"]\n  13 [size=\"76017664\", alpha=\"0.19\", expect_size=\"38008832\"] \n  13 -> 20 [size =\"38008832\"]\n  13 -> 22 [size =\"38008832\"]\n  14 [size=\"83191808\", alpha=\"0.02\", expect_size=\"41595904\"] \n  14 -> 22 [size =\"41595904\"]\n  15 [size=\"38432768\", alpha=\"0.19\", expect_size=\"19216384\"] \n  15 -> 20 [size =\"19216384\"]\n  16 [size=\"34523136\", alpha=\"0.13\", expect_size=\"17261568\"] \n  16 -> 20 [size =\"17261568\"]\n  17 [size=\"82634752\", alpha=\"0.01\", expect_size=\"41317376\"] \n  18 [size=\"29607936\", alpha=\"0.10\", expect_size=\"14803968\"] \n  18 -> 24 [size =\"14803968\"]\n  18 -> 25 [size =\"14803968\"]\n  19 [size=\"92868608\", alpha=\"0.11\", expect_size=\"46434304\"] \n  19 -> 23 [size =\"46434304\"]\n  19 -> 24 [size =\"46434304\"]\n  19 -> 27 [size =\"46434304\"]\n  20 [size=\"100040704\", alpha=\"0.15\", expect_size=\"50020352\"] \n  20 -> 24 [size =\"50020352\"]\n  20 -> 26 [size =\"50020352\"]\n  21 [size=\"46442496\", alpha=\"0.19\", expect_size=\"23221248\"] \n  21 -> 26 [size =\"23221248\"]\n  22 [size=\"74835968\", alpha=\"0.04\", expect_size=\"37417984\"] \n  22 -> 23 [size =\"37417984\"]\n  22 -> 25 [size =\"37417984\"]\n  23 [size=\"86624256\", alpha=\"0.00\", expect_size=\"43312128\"] \n  23 -> 28 [size =\"43312128\"]\n  23 -> 29 [size =\"43312128\"]\n  23 -> 30 [size =\"43312128\"]\n  23 -> 32 [size =\"43312128\"]\n  24 [size=\"83079168\", alpha=\"0.17\", expect_size=\"41539584\"] \n  24 -> 29 [size =\"41539584\"]\n  25 [size=\"94836736\", alpha=\"0.04\", expect_size=\"47418368\"] \n  25 -> 32 [size =\"47418368\"]\n  26 [size=\"90963968\", alpha=\"0.06\", expect_size=\"45481984\"] \n  26 -> 28 [size =\"45481984\"]\n  26 -> 31 [size =\"45481984\"]\n  27 [size=\"58365952\", alpha=\"0.19\", expect_size=\"29182976\"] \n  27 -> 28 [size =\"29182976\"]\n  27 -> 29 [size =\"29182976\"]\n  27 -> 32 [size =\"29182976\"]\n  28 [size=\"64587776\", alpha=\"0.01\", expect_size=\"32293888\"] \n  28 -> 34 [size =\"32293888\"]\n  28 -> 35 [size =\"32293888\"]\n  28 -> 36 [size =\"32293888\"]\n  28 -> 37 [size =\"32293888\"]\n  29 [size=\"19587072\", alpha=\"0.02\", expect_size=\"9793536\"] \n  29 -> 33 [size =\"9793536\"]\n  29 -> 34 [size =\"9793536\"]\n  29 -> 35 [size =\"9793536\"]\n  30 [size=\"69177344\", alpha=\"0.10\", expect_size=\"34588672\"] \n  31 [size=\"43272192\", alpha=\"0.18\", expect_size=\"21636096\"] \n  32 [size=\"38207488\", alpha=\"0.09\", expect_size=\"19103744\"] \n  32 -> 36 [size =\"19103744\"]\n  33 [size=\"54749184\", alpha=\"0.14\", expect_size=\"27374592\"] \n  33 -> 39 [size =\"27374592\"]\n  34 [size=\"55332864\", alpha=\"0.14\", expect_size=\"27666432\"] \n  34 -> 38 [size =\"27666432\"]\n  34 -> 39 [size =\"27666432\"]\n  35 [size=\"41187328\", alpha=\"0.00\", expect_size=\"20593664\"] \n  35 -> 38 [size =\"20593664\"]\n  35 -> 40 [size =\"20593664\"]\n  36 [size=\"60567552\", alpha=\"0.12\", expect_size=\"30283776\"] \n  36 -> 40 [size =\"30283776\"]\n  37 [size=\"87490560\", alpha=\"0.18\", expect_size=\"43745280\"] \n  37 -> 38 [size =\"43745280\"]\n  38 [size=\"81543168\", alpha=\"0.09\", expect_size=\"40771584\"] \n  39 [size=\"85700608\", alpha=\"0.17\", expect_size=\"42850304\"] \n  40 [size=\"95938560\", alpha=\"0.04\", expect_size=\"47969280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24941227\", alpha=\"0.07\", expect_size=\"7482368\"] \n  1 -> 3 [size =\"7482368\"]\n  2 [size=\"121797973\", alpha=\"0.17\", expect_size=\"36539392\"] \n  2 -> 4 [size =\"36539392\"]\n  3 [size=\"92269227\", alpha=\"0.19\", expect_size=\"27680768\"] \n  3 -> 5 [size =\"27680768\"]\n  3 -> 7 [size =\"27680768\"]\n  4 [size=\"96361813\", alpha=\"0.03\", expect_size=\"28908544\"] \n  4 -> 6 [size =\"28908544\"]\n  5 [size=\"111100587\", alpha=\"0.12\", expect_size=\"33330176\"] \n  6 [size=\"163041280\", alpha=\"0.13\", expect_size=\"48912384\"] \n  6 -> 8 [size =\"48912384\"]\n  6 -> 9 [size =\"48912384\"]\n  7 [size=\"121091413\", alpha=\"0.04\", expect_size=\"36327424\"] \n  7 -> 8 [size =\"36327424\"]\n  8 [size=\"88773973\", alpha=\"0.05\", expect_size=\"26632192\"] \n  8 -> 10 [size =\"26632192\"]\n  8 -> 11 [size =\"26632192\"]\n  8 -> 12 [size =\"26632192\"]\n  9 [size=\"111233707\", alpha=\"0.07\", expect_size=\"33370112\"] \n  10 [size=\"136198827\", alpha=\"0.13\", expect_size=\"40859648\"] \n  11 [size=\"48605867\", alpha=\"0.14\", expect_size=\"14581760\"] \n  11 -> 13 [size =\"14581760\"]\n  11 -> 14 [size =\"14581760\"]\n  12 [size=\"104239787\", alpha=\"0.03\", expect_size=\"31271936\"] \n  12 -> 14 [size =\"31271936\"]\n  12 -> 15 [size =\"31271936\"]\n  13 [size=\"83636907\", alpha=\"0.16\", expect_size=\"25091072\"] \n  13 -> 16 [size =\"25091072\"]\n  13 -> 18 [size =\"25091072\"]\n  14 [size=\"79513600\", alpha=\"0.02\", expect_size=\"23854080\"] \n  15 [size=\"99826347\", alpha=\"0.16\", expect_size=\"29947904\"] \n  15 -> 17 [size =\"29947904\"]\n  16 [size=\"33576960\", alpha=\"0.03\", expect_size=\"10073088\"] \n  16 -> 19 [size =\"10073088\"]\n  16 -> 20 [size =\"10073088\"]\n  16 -> 21 [size =\"10073088\"]\n  17 [size=\"131956053\", alpha=\"0.03\", expect_size=\"39586816\"] \n  17 -> 19 [size =\"39586816\"]\n  17 -> 21 [size =\"39586816\"]\n  18 [size=\"164119893\", alpha=\"0.15\", expect_size=\"49235968\"] \n  18 -> 20 [size =\"49235968\"]\n  19 [size=\"45189120\", alpha=\"0.04\", expect_size=\"13556736\"] \n  19 -> 24 [size =\"13556736\"]\n  20 [size=\"103703893\", alpha=\"0.15\", expect_size=\"31111168\"] \n  21 [size=\"45632853\", alpha=\"0.07\", expect_size=\"13689856\"] \n  21 -> 22 [size =\"13689856\"]\n  21 -> 23 [size =\"13689856\"]\n  22 [size=\"152907093\", alpha=\"0.13\", expect_size=\"45872128\"] \n  22 -> 26 [size =\"45872128\"]\n  23 [size=\"173090133\", alpha=\"0.07\", expect_size=\"51927040\"] \n  24 [size=\"139697493\", alpha=\"0.12\", expect_size=\"41909248\"] \n  24 -> 25 [size =\"41909248\"]\n  25 [size=\"154791253\", alpha=\"0.09\", expect_size=\"46437376\"] \n  25 -> 28 [size =\"46437376\"]\n  26 [size=\"122197333\", alpha=\"0.04\", expect_size=\"36659200\"] \n  26 -> 27 [size =\"36659200\"]\n  27 [size=\"144544427\", alpha=\"0.13\", expect_size=\"43363328\"] \n  27 -> 29 [size =\"43363328\"]\n  27 -> 30 [size =\"43363328\"]\n  28 [size=\"165512533\", alpha=\"0.10\", expect_size=\"49653760\"] \n  28 -> 31 [size =\"49653760\"]\n  29 [size=\"127689387\", alpha=\"0.19\", expect_size=\"38306816\"] \n  29 -> 32 [size =\"38306816\"]\n  30 [size=\"162549760\", alpha=\"0.04\", expect_size=\"48764928\"] \n  30 -> 32 [size =\"48764928\"]\n  30 -> 33 [size =\"48764928\"]\n  31 [size=\"126972587\", alpha=\"0.12\", expect_size=\"38091776\"] \n  31 -> 33 [size =\"38091776\"]\n  32 [size=\"28426240\", alpha=\"0.12\", expect_size=\"8527872\"] \n  32 -> 35 [size =\"8527872\"]\n  33 [size=\"128518827\", alpha=\"0.20\", expect_size=\"38555648\"] \n  33 -> 34 [size =\"38555648\"]\n  34 [size=\"30187520\", alpha=\"0.15\", expect_size=\"9056256\"] \n  35 [size=\"126890667\", alpha=\"0.02\", expect_size=\"38067200\"] \n  35 -> 36 [size =\"38067200\"]\n  35 -> 37 [size =\"38067200\"]\n  36 [size=\"40393387\", alpha=\"0.10\", expect_size=\"12118016\"] \n  36 -> 38 [size =\"12118016\"]\n  36 -> 39 [size =\"12118016\"]\n  37 [size=\"73550507\", alpha=\"0.13\", expect_size=\"22065152\"] \n  38 [size=\"172697600\", alpha=\"0.14\", expect_size=\"51809280\"] \n  38 -> 40 [size =\"51809280\"]\n  39 [size=\"94552747\", alpha=\"0.19\", expect_size=\"28365824\"] \n  40 [size=\"90170027\", alpha=\"0.15\", expect_size=\"27051008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26122240\", alpha=\"0.13\", expect_size=\"13061120\"] \n  1 -> 2 [size =\"13061120\"]\n  2 [size=\"19314688\", alpha=\"0.14\", expect_size=\"9657344\"] \n  2 -> 3 [size =\"9657344\"]\n  3 [size=\"35764224\", alpha=\"0.06\", expect_size=\"17882112\"] \n  3 -> 4 [size =\"17882112\"]\n  4 [size=\"29444096\", alpha=\"0.12\", expect_size=\"14722048\"] \n  4 -> 5 [size =\"14722048\"]\n  5 [size=\"34064384\", alpha=\"0.16\", expect_size=\"17032192\"] \n  5 -> 6 [size =\"17032192\"]\n  6 [size=\"44566528\", alpha=\"0.04\", expect_size=\"22283264\"] \n  6 -> 7 [size =\"22283264\"]\n  7 [size=\"62515200\", alpha=\"0.08\", expect_size=\"31257600\"] \n  7 -> 8 [size =\"31257600\"]\n  8 [size=\"101924864\", alpha=\"0.16\", expect_size=\"50962432\"] \n  8 -> 9 [size =\"50962432\"]\n  9 [size=\"71028736\", alpha=\"0.05\", expect_size=\"35514368\"] \n  9 -> 10 [size =\"35514368\"]\n  10 [size=\"94898176\", alpha=\"0.02\", expect_size=\"47449088\"] \n  10 -> 11 [size =\"47449088\"]\n  11 [size=\"94427136\", alpha=\"0.02\", expect_size=\"47213568\"] \n  11 -> 12 [size =\"47213568\"]\n  12 [size=\"61413376\", alpha=\"0.18\", expect_size=\"30706688\"] \n  12 -> 13 [size =\"30706688\"]\n  13 [size=\"34807808\", alpha=\"0.09\", expect_size=\"17403904\"] \n  13 -> 14 [size =\"17403904\"]\n  14 [size=\"61974528\", alpha=\"0.04\", expect_size=\"30987264\"] \n  14 -> 15 [size =\"30987264\"]\n  15 [size=\"23154688\", alpha=\"0.04\", expect_size=\"11577344\"] \n  15 -> 16 [size =\"11577344\"]\n  16 [size=\"98467840\", alpha=\"0.13\", expect_size=\"49233920\"] \n  16 -> 17 [size =\"49233920\"]\n  17 [size=\"23871488\", alpha=\"0.18\", expect_size=\"11935744\"] \n  17 -> 18 [size =\"11935744\"]\n  18 [size=\"63645696\", alpha=\"0.13\", expect_size=\"31822848\"] \n  18 -> 19 [size =\"31822848\"]\n  19 [size=\"43657216\", alpha=\"0.01\", expect_size=\"21828608\"] \n  19 -> 20 [size =\"21828608\"]\n  20 [size=\"67676160\", alpha=\"0.08\", expect_size=\"33838080\"] \n  20 -> 21 [size =\"33838080\"]\n  21 [size=\"77438976\", alpha=\"0.18\", expect_size=\"38719488\"] \n  21 -> 22 [size =\"38719488\"]\n  22 [size=\"88000512\", alpha=\"0.10\", expect_size=\"44000256\"] \n  22 -> 23 [size =\"44000256\"]\n  23 [size=\"76691456\", alpha=\"0.08\", expect_size=\"38345728\"] \n  23 -> 24 [size =\"38345728\"]\n  24 [size=\"24969216\", alpha=\"0.09\", expect_size=\"12484608\"] \n  24 -> 25 [size =\"12484608\"]\n  25 [size=\"43649024\", alpha=\"0.16\", expect_size=\"21824512\"] \n  25 -> 26 [size =\"21824512\"]\n  26 [size=\"63932416\", alpha=\"0.09\", expect_size=\"31966208\"] \n  26 -> 27 [size =\"31966208\"]\n  27 [size=\"31856640\", alpha=\"0.14\", expect_size=\"15928320\"] \n  27 -> 28 [size =\"15928320\"]\n  28 [size=\"23785472\", alpha=\"0.18\", expect_size=\"11892736\"] \n  28 -> 29 [size =\"11892736\"]\n  29 [size=\"84496384\", alpha=\"0.15\", expect_size=\"42248192\"] \n  29 -> 30 [size =\"42248192\"]\n  30 [size=\"87535616\", alpha=\"0.10\", expect_size=\"43767808\"] \n  30 -> 31 [size =\"43767808\"]\n  31 [size=\"29059072\", alpha=\"0.03\", expect_size=\"14529536\"] \n  31 -> 32 [size =\"14529536\"]\n  32 [size=\"19079168\", alpha=\"0.06\", expect_size=\"9539584\"] \n  32 -> 33 [size =\"9539584\"]\n  33 [size=\"66420736\", alpha=\"0.15\", expect_size=\"33210368\"] \n  33 -> 34 [size =\"33210368\"]\n  34 [size=\"101992448\", alpha=\"0.14\", expect_size=\"50996224\"] \n  34 -> 35 [size =\"50996224\"]\n  35 [size=\"50382848\", alpha=\"0.17\", expect_size=\"25191424\"] \n  35 -> 36 [size =\"25191424\"]\n  36 [size=\"29542400\", alpha=\"0.17\", expect_size=\"14771200\"] \n  36 -> 37 [size =\"14771200\"]\n  37 [size=\"73551872\", alpha=\"0.01\", expect_size=\"36775936\"] \n  37 -> 38 [size =\"36775936\"]\n  38 [size=\"45697024\", alpha=\"0.16\", expect_size=\"22848512\"] \n  38 -> 39 [size =\"22848512\"]\n  39 [size=\"37421056\", alpha=\"0.18\", expect_size=\"18710528\"] \n  39 -> 40 [size =\"18710528\"]\n  40 [size=\"14893056\", alpha=\"0.12\", expect_size=\"7446528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114432000\", alpha=\"0.14\", expect_size=\"45772800\"] \n  1 -> 9 [size =\"45772800\"]\n  1 -> 9 [size =\"45772800\"]\n  2 [size=\"70412800\", alpha=\"0.17\", expect_size=\"28165120\"] \n  2 -> 8 [size =\"28165120\"]\n  3 [size=\"79050240\", alpha=\"0.13\", expect_size=\"31620096\"] \n  3 -> 6 [size =\"31620096\"]\n  4 [size=\"84759040\", alpha=\"0.10\", expect_size=\"33903616\"] \n  4 -> 7 [size =\"33903616\"]\n  4 -> 9 [size =\"33903616\"]\n  5 [size=\"125867520\", alpha=\"0.14\", expect_size=\"50347008\"] \n  5 -> 7 [size =\"50347008\"]\n  5 -> 9 [size =\"50347008\"]\n  5 -> 10 [size =\"50347008\"]\n  6 [size=\"67781120\", alpha=\"0.08\", expect_size=\"27112448\"] \n  6 -> 11 [size =\"27112448\"]\n  6 -> 13 [size =\"27112448\"]\n  6 -> 14 [size =\"27112448\"]\n  6 -> 15 [size =\"27112448\"]\n  7 [size=\"112716800\", alpha=\"0.10\", expect_size=\"45086720\"] \n  7 -> 13 [size =\"45086720\"]\n  8 [size=\"113932800\", alpha=\"0.18\", expect_size=\"45573120\"] \n  8 -> 12 [size =\"45573120\"]\n  8 -> 14 [size =\"45573120\"]\n  9 [size=\"52922880\", alpha=\"0.04\", expect_size=\"21169152\"] \n  9 -> 13 [size =\"21169152\"]\n  9 -> 14 [size =\"21169152\"]\n  9 -> 15 [size =\"21169152\"]\n  10 [size=\"108334080\", alpha=\"0.15\", expect_size=\"43333632\"] \n  10 -> 13 [size =\"43333632\"]\n  10 -> 14 [size =\"43333632\"]\n  11 [size=\"46394880\", alpha=\"0.12\", expect_size=\"18557952\"] \n  11 -> 17 [size =\"18557952\"]\n  11 -> 18 [size =\"18557952\"]\n  11 -> 20 [size =\"18557952\"]\n  12 [size=\"126732800\", alpha=\"0.07\", expect_size=\"50693120\"] \n  12 -> 16 [size =\"50693120\"]\n  12 -> 20 [size =\"50693120\"]\n  13 [size=\"110958080\", alpha=\"0.19\", expect_size=\"44383232\"] \n  13 -> 17 [size =\"44383232\"]\n  13 -> 19 [size =\"44383232\"]\n  14 [size=\"72048640\", alpha=\"0.16\", expect_size=\"28819456\"] \n  14 -> 16 [size =\"28819456\"]\n  14 -> 17 [size =\"28819456\"]\n  15 [size=\"13294080\", alpha=\"0.09\", expect_size=\"5317632\"] \n  15 -> 16 [size =\"5317632\"]\n  15 -> 19 [size =\"5317632\"]\n  16 [size=\"93688320\", alpha=\"0.01\", expect_size=\"37475328\"] \n  16 -> 23 [size =\"37475328\"]\n  16 -> 25 [size =\"37475328\"]\n  17 [size=\"22054400\", alpha=\"0.13\", expect_size=\"8821760\"] \n  17 -> 21 [size =\"8821760\"]\n  17 -> 23 [size =\"8821760\"]\n  18 [size=\"81226240\", alpha=\"0.06\", expect_size=\"32490496\"] \n  18 -> 21 [size =\"32490496\"]\n  18 -> 22 [size =\"32490496\"]\n  19 [size=\"67714560\", alpha=\"0.07\", expect_size=\"27085824\"] \n  19 -> 21 [size =\"27085824\"]\n  19 -> 22 [size =\"27085824\"]\n  20 [size=\"92907520\", alpha=\"0.18\", expect_size=\"37163008\"] \n  20 -> 21 [size =\"37163008\"]\n  20 -> 23 [size =\"37163008\"]\n  20 -> 24 [size =\"37163008\"]\n  21 [size=\"61992960\", alpha=\"0.06\", expect_size=\"24797184\"] \n  21 -> 27 [size =\"24797184\"]\n  21 -> 29 [size =\"24797184\"]\n  21 -> 31 [size =\"24797184\"]\n  22 [size=\"16890880\", alpha=\"0.04\", expect_size=\"6756352\"] \n  22 -> 31 [size =\"6756352\"]\n  23 [size=\"58557440\", alpha=\"0.14\", expect_size=\"23422976\"] \n  23 -> 26 [size =\"23422976\"]\n  23 -> 28 [size =\"23422976\"]\n  23 -> 31 [size =\"23422976\"]\n  24 [size=\"53048320\", alpha=\"0.15\", expect_size=\"21219328\"] \n  24 -> 26 [size =\"21219328\"]\n  24 -> 29 [size =\"21219328\"]\n  24 -> 30 [size =\"21219328\"]\n  25 [size=\"27225600\", alpha=\"0.16\", expect_size=\"10890240\"] \n  25 -> 27 [size =\"10890240\"]\n  25 -> 29 [size =\"10890240\"]\n  26 [size=\"80192000\", alpha=\"0.06\", expect_size=\"32076800\"] \n  26 -> 35 [size =\"32076800\"]\n  26 -> 37 [size =\"32076800\"]\n  27 [size=\"84034560\", alpha=\"0.12\", expect_size=\"33613824\"] \n  27 -> 32 [size =\"33613824\"]\n  27 -> 33 [size =\"33613824\"]\n  27 -> 35 [size =\"33613824\"]\n  28 [size=\"40384000\", alpha=\"0.16\", expect_size=\"16153600\"] \n  28 -> 37 [size =\"16153600\"]\n  29 [size=\"75712000\", alpha=\"0.07\", expect_size=\"30284800\"] \n  29 -> 32 [size =\"30284800\"]\n  29 -> 35 [size =\"30284800\"]\n  29 -> 37 [size =\"30284800\"]\n  30 [size=\"115061760\", alpha=\"0.13\", expect_size=\"46024704\"] \n  30 -> 34 [size =\"46024704\"]\n  30 -> 36 [size =\"46024704\"]\n  31 [size=\"102635520\", alpha=\"0.06\", expect_size=\"41054208\"] \n  31 -> 32 [size =\"41054208\"]\n  31 -> 37 [size =\"41054208\"]\n  32 [size=\"21790720\", alpha=\"0.17\", expect_size=\"8716288\"] \n  32 -> 38 [size =\"8716288\"]\n  33 [size=\"47802880\", alpha=\"0.06\", expect_size=\"19121152\"] \n  33 -> 39 [size =\"19121152\"]\n  34 [size=\"128647680\", alpha=\"0.04\", expect_size=\"51459072\"] \n  35 [size=\"100055040\", alpha=\"0.02\", expect_size=\"40022016\"] \n  36 [size=\"74780160\", alpha=\"0.14\", expect_size=\"29912064\"] \n  36 -> 38 [size =\"29912064\"]\n  36 -> 40 [size =\"29912064\"]\n  37 [size=\"107502080\", alpha=\"0.07\", expect_size=\"43000832\"] \n  37 -> 38 [size =\"43000832\"]\n  38 [size=\"61903360\", alpha=\"0.12\", expect_size=\"24761344\"] \n  39 [size=\"38807040\", alpha=\"0.06\", expect_size=\"15522816\"] \n  40 [size=\"78028800\", alpha=\"0.14\", expect_size=\"31211520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68249600\", alpha=\"0.17\", expect_size=\"27299840\"] \n  1 -> 31 [size =\"27299840\"]\n  1 -> 32 [size =\"27299840\"]\n  1 -> 37 [size =\"27299840\"]\n  1 -> 38 [size =\"27299840\"]\n  1 -> 39 [size =\"27299840\"]\n  2 [size=\"68044800\", alpha=\"0.11\", expect_size=\"27217920\"] \n  2 -> 23 [size =\"27217920\"]\n  2 -> 25 [size =\"27217920\"]\n  2 -> 26 [size =\"27217920\"]\n  2 -> 27 [size =\"27217920\"]\n  2 -> 29 [size =\"27217920\"]\n  2 -> 30 [size =\"27217920\"]\n  2 -> 31 [size =\"27217920\"]\n  2 -> 37 [size =\"27217920\"]\n  3 [size=\"127111680\", alpha=\"0.14\", expect_size=\"50844672\"] \n  3 -> 22 [size =\"50844672\"]\n  3 -> 24 [size =\"50844672\"]\n  3 -> 25 [size =\"50844672\"]\n  3 -> 26 [size =\"50844672\"]\n  3 -> 31 [size =\"50844672\"]\n  3 -> 32 [size =\"50844672\"]\n  3 -> 37 [size =\"50844672\"]\n  3 -> 38 [size =\"50844672\"]\n  3 -> 39 [size =\"50844672\"]\n  4 [size=\"108121600\", alpha=\"0.09\", expect_size=\"43248640\"] \n  4 -> 24 [size =\"43248640\"]\n  4 -> 26 [size =\"43248640\"]\n  4 -> 27 [size =\"43248640\"]\n  4 -> 29 [size =\"43248640\"]\n  4 -> 30 [size =\"43248640\"]\n  4 -> 32 [size =\"43248640\"]\n  4 -> 35 [size =\"43248640\"]\n  4 -> 38 [size =\"43248640\"]\n  4 -> 39 [size =\"43248640\"]\n  4 -> 40 [size =\"43248640\"]\n  5 [size=\"76495360\", alpha=\"0.01\", expect_size=\"30598144\"] \n  5 -> 22 [size =\"30598144\"]\n  5 -> 26 [size =\"30598144\"]\n  5 -> 28 [size =\"30598144\"]\n  5 -> 29 [size =\"30598144\"]\n  5 -> 31 [size =\"30598144\"]\n  5 -> 35 [size =\"30598144\"]\n  5 -> 35 [size =\"30598144\"]\n  5 -> 37 [size =\"30598144\"]\n  5 -> 38 [size =\"30598144\"]\n  5 -> 39 [size =\"30598144\"]\n  6 [size=\"28464640\", alpha=\"0.06\", expect_size=\"11385856\"] \n  6 -> 21 [size =\"11385856\"]\n  6 -> 24 [size =\"11385856\"]\n  6 -> 26 [size =\"11385856\"]\n  6 -> 28 [size =\"11385856\"]\n  6 -> 30 [size =\"11385856\"]\n  6 -> 31 [size =\"11385856\"]\n  6 -> 32 [size =\"11385856\"]\n  6 -> 35 [size =\"11385856\"]\n  6 -> 36 [size =\"11385856\"]\n  6 -> 37 [size =\"11385856\"]\n  6 -> 38 [size =\"11385856\"]\n  6 -> 39 [size =\"11385856\"]\n  6 -> 40 [size =\"11385856\"]\n  7 [size=\"83159040\", alpha=\"0.02\", expect_size=\"33263616\"] \n  7 -> 28 [size =\"33263616\"]\n  7 -> 30 [size =\"33263616\"]\n  7 -> 32 [size =\"33263616\"]\n  7 -> 34 [size =\"33263616\"]\n  7 -> 35 [size =\"33263616\"]\n  7 -> 38 [size =\"33263616\"]\n  7 -> 39 [size =\"33263616\"]\n  8 [size=\"95421440\", alpha=\"0.17\", expect_size=\"38168576\"] \n  8 -> 22 [size =\"38168576\"]\n  8 -> 28 [size =\"38168576\"]\n  8 -> 30 [size =\"38168576\"]\n  8 -> 31 [size =\"38168576\"]\n  8 -> 37 [size =\"38168576\"]\n  8 -> 38 [size =\"38168576\"]\n  9 [size=\"43146240\", alpha=\"0.04\", expect_size=\"17258496\"] \n  9 -> 22 [size =\"17258496\"]\n  9 -> 24 [size =\"17258496\"]\n  9 -> 28 [size =\"17258496\"]\n  9 -> 30 [size =\"17258496\"]\n  9 -> 31 [size =\"17258496\"]\n  9 -> 34 [size =\"17258496\"]\n  9 -> 38 [size =\"17258496\"]\n  10 [size=\"127715840\", alpha=\"0.06\", expect_size=\"51086336\"] \n  10 -> 22 [size =\"51086336\"]\n  10 -> 28 [size =\"51086336\"]\n  10 -> 30 [size =\"51086336\"]\n  10 -> 34 [size =\"51086336\"]\n  10 -> 35 [size =\"51086336\"]\n  10 -> 36 [size =\"51086336\"]\n  10 -> 37 [size =\"51086336\"]\n  10 -> 38 [size =\"51086336\"]\n  10 -> 40 [size =\"51086336\"]\n  11 [size=\"45985280\", alpha=\"0.05\", expect_size=\"18394112\"] \n  11 -> 22 [size =\"18394112\"]\n  11 -> 29 [size =\"18394112\"]\n  11 -> 31 [size =\"18394112\"]\n  11 -> 33 [size =\"18394112\"]\n  11 -> 34 [size =\"18394112\"]\n  11 -> 36 [size =\"18394112\"]\n  11 -> 37 [size =\"18394112\"]\n  11 -> 40 [size =\"18394112\"]\n  12 [size=\"26606080\", alpha=\"0.10\", expect_size=\"10642432\"] \n  12 -> 26 [size =\"10642432\"]\n  12 -> 27 [size =\"10642432\"]\n  12 -> 29 [size =\"10642432\"]\n  12 -> 31 [size =\"10642432\"]\n  12 -> 32 [size =\"10642432\"]\n  12 -> 36 [size =\"10642432\"]\n  12 -> 37 [size =\"10642432\"]\n  12 -> 40 [size =\"10642432\"]\n  13 [size=\"92976640\", alpha=\"0.11\", expect_size=\"37190656\"] \n  13 -> 27 [size =\"37190656\"]\n  13 -> 28 [size =\"37190656\"]\n  13 -> 29 [size =\"37190656\"]\n  13 -> 36 [size =\"37190656\"]\n  13 -> 39 [size =\"37190656\"]\n  13 -> 40 [size =\"37190656\"]\n  14 [size=\"57264640\", alpha=\"0.01\", expect_size=\"22905856\"] \n  14 -> 27 [size =\"22905856\"]\n  14 -> 33 [size =\"22905856\"]\n  14 -> 36 [size =\"22905856\"]\n  14 -> 38 [size =\"22905856\"]\n  14 -> 39 [size =\"22905856\"]\n  15 [size=\"112317440\", alpha=\"0.12\", expect_size=\"44926976\"] \n  15 -> 22 [size =\"44926976\"]\n  15 -> 24 [size =\"44926976\"]\n  15 -> 26 [size =\"44926976\"]\n  15 -> 33 [size =\"44926976\"]\n  15 -> 35 [size =\"44926976\"]\n  15 -> 38 [size =\"44926976\"]\n  16 [size=\"115829760\", alpha=\"0.06\", expect_size=\"46331904\"] \n  16 -> 29 [size =\"46331904\"]\n  16 -> 31 [size =\"46331904\"]\n  16 -> 32 [size =\"46331904\"]\n  16 -> 33 [size =\"46331904\"]\n  16 -> 35 [size =\"46331904\"]\n  16 -> 38 [size =\"46331904\"]\n  16 -> 39 [size =\"46331904\"]\n  16 -> 40 [size =\"46331904\"]\n  17 [size=\"35788800\", alpha=\"0.11\", expect_size=\"14315520\"] \n  17 -> 29 [size =\"14315520\"]\n  17 -> 32 [size =\"14315520\"]\n  17 -> 40 [size =\"14315520\"]\n  18 [size=\"45498880\", alpha=\"0.02\", expect_size=\"18199552\"] \n  18 -> 28 [size =\"18199552\"]\n  18 -> 32 [size =\"18199552\"]\n  18 -> 33 [size =\"18199552\"]\n  18 -> 37 [size =\"18199552\"]\n  18 -> 39 [size =\"18199552\"]\n  19 [size=\"27299840\", alpha=\"0.12\", expect_size=\"10919936\"] \n  19 -> 21 [size =\"10919936\"]\n  19 -> 24 [size =\"10919936\"]\n  19 -> 25 [size =\"10919936\"]\n  19 -> 28 [size =\"10919936\"]\n  19 -> 30 [size =\"10919936\"]\n  19 -> 32 [size =\"10919936\"]\n  19 -> 37 [size =\"10919936\"]\n  20 [size=\"48535040\", alpha=\"0.09\", expect_size=\"19414016\"] \n  20 -> 25 [size =\"19414016\"]\n  20 -> 28 [size =\"19414016\"]\n  20 -> 29 [size =\"19414016\"]\n  20 -> 31 [size =\"19414016\"]\n  20 -> 32 [size =\"19414016\"]\n  20 -> 33 [size =\"19414016\"]\n  20 -> 37 [size =\"19414016\"]\n  21 [size=\"81484800\", alpha=\"0.17\", expect_size=\"32593920\"] \n  22 [size=\"110504960\", alpha=\"0.13\", expect_size=\"44201984\"] \n  23 [size=\"50391040\", alpha=\"0.09\", expect_size=\"20156416\"] \n  24 [size=\"113735680\", alpha=\"0.01\", expect_size=\"45494272\"] \n  25 [size=\"122242560\", alpha=\"0.04\", expect_size=\"48897024\"] \n  26 [size=\"73597440\", alpha=\"0.09\", expect_size=\"29438976\"] \n  27 [size=\"108659200\", alpha=\"0.06\", expect_size=\"43463680\"] \n  28 [size=\"57689600\", alpha=\"0.17\", expect_size=\"23075840\"] \n  29 [size=\"69926400\", alpha=\"0.13\", expect_size=\"27970560\"] \n  30 [size=\"20802560\", alpha=\"0.09\", expect_size=\"8321024\"] \n  31 [size=\"76792320\", alpha=\"0.10\", expect_size=\"30716928\"] \n  32 [size=\"57100800\", alpha=\"0.14\", expect_size=\"22840320\"] \n  33 [size=\"16673280\", alpha=\"0.11\", expect_size=\"6669312\"] \n  34 [size=\"69514240\", alpha=\"0.15\", expect_size=\"27805696\"] \n  35 [size=\"74705920\", alpha=\"0.17\", expect_size=\"29882368\"] \n  36 [size=\"95641600\", alpha=\"0.15\", expect_size=\"38256640\"] \n  37 [size=\"29711360\", alpha=\"0.18\", expect_size=\"11884544\"] \n  38 [size=\"64934400\", alpha=\"0.06\", expect_size=\"25973760\"] \n  39 [size=\"47695360\", alpha=\"0.16\", expect_size=\"19078144\"] \n  40 [size=\"126000640\", alpha=\"0.13\", expect_size=\"50400256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34283520\", alpha=\"0.10\", expect_size=\"10285056\"] \n  1 -> 15 [size =\"10285056\"]\n  1 -> 20 [size =\"10285056\"]\n  1 -> 23 [size =\"10285056\"]\n  2 [size=\"36857173\", alpha=\"0.11\", expect_size=\"11057152\"] \n  3 [size=\"172567893\", alpha=\"0.19\", expect_size=\"51770368\"] \n  3 -> 12 [size =\"51770368\"]\n  3 -> 13 [size =\"51770368\"]\n  3 -> 14 [size =\"51770368\"]\n  3 -> 16 [size =\"51770368\"]\n  3 -> 21 [size =\"51770368\"]\n  3 -> 23 [size =\"51770368\"]\n  4 [size=\"60334080\", alpha=\"0.08\", expect_size=\"18100224\"] \n  4 -> 16 [size =\"18100224\"]\n  5 [size=\"98034347\", alpha=\"0.14\", expect_size=\"29410304\"] \n  5 -> 13 [size =\"29410304\"]\n  5 -> 14 [size =\"29410304\"]\n  5 -> 21 [size =\"29410304\"]\n  6 [size=\"158760960\", alpha=\"0.15\", expect_size=\"47628288\"] \n  6 -> 14 [size =\"47628288\"]\n  6 -> 16 [size =\"47628288\"]\n  6 -> 21 [size =\"47628288\"]\n  7 [size=\"56258560\", alpha=\"0.06\", expect_size=\"16877568\"] \n  7 -> 13 [size =\"16877568\"]\n  7 -> 19 [size =\"16877568\"]\n  8 [size=\"119623680\", alpha=\"0.00\", expect_size=\"35887104\"] \n  8 -> 14 [size =\"35887104\"]\n  8 -> 15 [size =\"35887104\"]\n  8 -> 20 [size =\"35887104\"]\n  8 -> 21 [size =\"35887104\"]\n  8 -> 23 [size =\"35887104\"]\n  8 -> 24 [size =\"35887104\"]\n  9 [size=\"126054400\", alpha=\"0.03\", expect_size=\"37816320\"] \n  9 -> 15 [size =\"37816320\"]\n  9 -> 16 [size =\"37816320\"]\n  9 -> 20 [size =\"37816320\"]\n  9 -> 22 [size =\"37816320\"]\n  9 -> 23 [size =\"37816320\"]\n  10 [size=\"129727147\", alpha=\"0.20\", expect_size=\"38918144\"] \n  10 -> 16 [size =\"38918144\"]\n  10 -> 16 [size =\"38918144\"]\n  10 -> 17 [size =\"38918144\"]\n  10 -> 19 [size =\"38918144\"]\n  10 -> 20 [size =\"38918144\"]\n  10 -> 23 [size =\"38918144\"]\n  11 [size=\"64095573\", alpha=\"0.20\", expect_size=\"19228672\"] \n  11 -> 15 [size =\"19228672\"]\n  11 -> 18 [size =\"19228672\"]\n  11 -> 23 [size =\"19228672\"]\n  12 [size=\"145476267\", alpha=\"0.10\", expect_size=\"43642880\"] \n  12 -> 26 [size =\"43642880\"]\n  12 -> 31 [size =\"43642880\"]\n  12 -> 33 [size =\"43642880\"]\n  12 -> 34 [size =\"43642880\"]\n  12 -> 35 [size =\"43642880\"]\n  12 -> 36 [size =\"43642880\"]\n  13 [size=\"73594880\", alpha=\"0.07\", expect_size=\"22078464\"] \n  13 -> 25 [size =\"22078464\"]\n  13 -> 26 [size =\"22078464\"]\n  13 -> 27 [size =\"22078464\"]\n  13 -> 31 [size =\"22078464\"]\n  13 -> 34 [size =\"22078464\"]\n  13 -> 36 [size =\"22078464\"]\n  14 [size=\"68720640\", alpha=\"0.04\", expect_size=\"20616192\"] \n  14 -> 25 [size =\"20616192\"]\n  14 -> 28 [size =\"20616192\"]\n  14 -> 31 [size =\"20616192\"]\n  15 [size=\"133014187\", alpha=\"0.19\", expect_size=\"39904256\"] \n  15 -> 32 [size =\"39904256\"]\n  16 [size=\"84889600\", alpha=\"0.01\", expect_size=\"25466880\"] \n  16 -> 28 [size =\"25466880\"]\n  16 -> 33 [size =\"25466880\"]\n  17 [size=\"44803413\", alpha=\"0.05\", expect_size=\"13441024\"] \n  17 -> 28 [size =\"13441024\"]\n  17 -> 34 [size =\"13441024\"]\n  17 -> 36 [size =\"13441024\"]\n  18 [size=\"92699307\", alpha=\"0.01\", expect_size=\"27809792\"] \n  18 -> 25 [size =\"27809792\"]\n  18 -> 29 [size =\"27809792\"]\n  19 [size=\"94167040\", alpha=\"0.04\", expect_size=\"28250112\"] \n  19 -> 25 [size =\"28250112\"]\n  19 -> 29 [size =\"28250112\"]\n  19 -> 34 [size =\"28250112\"]\n  20 [size=\"121623893\", alpha=\"0.01\", expect_size=\"36487168\"] \n  20 -> 25 [size =\"36487168\"]\n  20 -> 29 [size =\"36487168\"]\n  20 -> 32 [size =\"36487168\"]\n  20 -> 33 [size =\"36487168\"]\n  20 -> 35 [size =\"36487168\"]\n  21 [size=\"119794347\", alpha=\"0.20\", expect_size=\"35938304\"] \n  21 -> 26 [size =\"35938304\"]\n  21 -> 28 [size =\"35938304\"]\n  21 -> 30 [size =\"35938304\"]\n  21 -> 31 [size =\"35938304\"]\n  21 -> 33 [size =\"35938304\"]\n  21 -> 37 [size =\"35938304\"]\n  22 [size=\"117790720\", alpha=\"0.01\", expect_size=\"35337216\"] \n  22 -> 29 [size =\"35337216\"]\n  22 -> 31 [size =\"35337216\"]\n  22 -> 33 [size =\"35337216\"]\n  23 [size=\"36078933\", alpha=\"0.02\", expect_size=\"10823680\"] \n  23 -> 26 [size =\"10823680\"]\n  23 -> 29 [size =\"10823680\"]\n  23 -> 31 [size =\"10823680\"]\n  24 [size=\"89248427\", alpha=\"0.08\", expect_size=\"26774528\"] \n  24 -> 26 [size =\"26774528\"]\n  24 -> 30 [size =\"26774528\"]\n  24 -> 31 [size =\"26774528\"]\n  24 -> 36 [size =\"26774528\"]\n  24 -> 37 [size =\"26774528\"]\n  25 [size=\"122504533\", alpha=\"0.04\", expect_size=\"36751360\"] \n  25 -> 38 [size =\"36751360\"]\n  26 [size=\"115131733\", alpha=\"0.19\", expect_size=\"34539520\"] \n  27 [size=\"124183893\", alpha=\"0.18\", expect_size=\"37255168\"] \n  27 -> 40 [size =\"37255168\"]\n  28 [size=\"167226027\", alpha=\"0.11\", expect_size=\"50167808\"] \n  29 [size=\"17513813\", alpha=\"0.17\", expect_size=\"5254144\"] \n  30 [size=\"52049920\", alpha=\"0.17\", expect_size=\"15614976\"] \n  31 [size=\"59180373\", alpha=\"0.04\", expect_size=\"17754112\"] \n  31 -> 38 [size =\"17754112\"]\n  31 -> 39 [size =\"17754112\"]\n  32 [size=\"55715840\", alpha=\"0.07\", expect_size=\"16714752\"] \n  33 [size=\"61044053\", alpha=\"0.16\", expect_size=\"18313216\"] \n  34 [size=\"72966827\", alpha=\"0.13\", expect_size=\"21890048\"] \n  34 -> 38 [size =\"21890048\"]\n  35 [size=\"134345387\", alpha=\"0.04\", expect_size=\"40303616\"] \n  35 -> 39 [size =\"40303616\"]\n  35 -> 40 [size =\"40303616\"]\n  36 [size=\"168451413\", alpha=\"0.03\", expect_size=\"50535424\"] \n  36 -> 38 [size =\"50535424\"]\n  36 -> 40 [size =\"50535424\"]\n  37 [size=\"159290027\", alpha=\"0.06\", expect_size=\"47787008\"] \n  37 -> 38 [size =\"47787008\"]\n  37 -> 39 [size =\"47787008\"]\n  37 -> 40 [size =\"47787008\"]\n  38 [size=\"145636693\", alpha=\"0.19\", expect_size=\"43691008\"] \n  39 [size=\"72362667\", alpha=\"0.02\", expect_size=\"21708800\"] \n  40 [size=\"48042667\", alpha=\"0.17\", expect_size=\"14412800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17217536\", alpha=\"0.14\", expect_size=\"8608768\"] \n  1 -> 35 [size =\"8608768\"]\n  1 -> 37 [size =\"8608768\"]\n  1 -> 39 [size =\"8608768\"]\n  2 [size=\"48760832\", alpha=\"0.13\", expect_size=\"24380416\"] \n  2 -> 35 [size =\"24380416\"]\n  2 -> 37 [size =\"24380416\"]\n  2 -> 40 [size =\"24380416\"]\n  3 [size=\"64770048\", alpha=\"0.04\", expect_size=\"32385024\"] \n  3 -> 35 [size =\"32385024\"]\n  3 -> 37 [size =\"32385024\"]\n  4 [size=\"69615616\", alpha=\"0.01\", expect_size=\"34807808\"] \n  4 -> 35 [size =\"34807808\"]\n  4 -> 37 [size =\"34807808\"]\n  4 -> 40 [size =\"34807808\"]\n  5 [size=\"12122112\", alpha=\"0.08\", expect_size=\"6061056\"] \n  5 -> 35 [size =\"6061056\"]\n  5 -> 37 [size =\"6061056\"]\n  5 -> 38 [size =\"6061056\"]\n  5 -> 40 [size =\"6061056\"]\n  6 [size=\"72288256\", alpha=\"0.03\", expect_size=\"36144128\"] \n  6 -> 35 [size =\"36144128\"]\n  6 -> 39 [size =\"36144128\"]\n  7 [size=\"79761408\", alpha=\"0.10\", expect_size=\"39880704\"] \n  7 -> 34 [size =\"39880704\"]\n  7 -> 35 [size =\"39880704\"]\n  8 [size=\"98705408\", alpha=\"0.06\", expect_size=\"49352704\"] \n  8 -> 35 [size =\"49352704\"]\n  8 -> 36 [size =\"49352704\"]\n  8 -> 39 [size =\"49352704\"]\n  8 -> 40 [size =\"49352704\"]\n  9 [size=\"26357760\", alpha=\"0.07\", expect_size=\"13178880\"] \n  9 -> 35 [size =\"13178880\"]\n  10 [size=\"66396160\", alpha=\"0.04\", expect_size=\"33198080\"] \n  10 -> 33 [size =\"33198080\"]\n  10 -> 35 [size =\"33198080\"]\n  10 -> 37 [size =\"33198080\"]\n  10 -> 38 [size =\"33198080\"]\n  11 [size=\"31717376\", alpha=\"0.06\", expect_size=\"15858688\"] \n  11 -> 33 [size =\"15858688\"]\n  11 -> 35 [size =\"15858688\"]\n  11 -> 36 [size =\"15858688\"]\n  11 -> 37 [size =\"15858688\"]\n  12 [size=\"98060288\", alpha=\"0.15\", expect_size=\"49030144\"] \n  12 -> 37 [size =\"49030144\"]\n  13 [size=\"65218560\", alpha=\"0.09\", expect_size=\"32609280\"] \n  13 -> 38 [size =\"32609280\"]\n  13 -> 40 [size =\"32609280\"]\n  14 [size=\"85565440\", alpha=\"0.06\", expect_size=\"42782720\"] \n  14 -> 40 [size =\"42782720\"]\n  15 [size=\"92155904\", alpha=\"0.15\", expect_size=\"46077952\"] \n  15 -> 40 [size =\"46077952\"]\n  16 [size=\"34856960\", alpha=\"0.07\", expect_size=\"17428480\"] \n  16 -> 34 [size =\"17428480\"]\n  16 -> 35 [size =\"17428480\"]\n  16 -> 37 [size =\"17428480\"]\n  16 -> 40 [size =\"17428480\"]\n  17 [size=\"48572416\", alpha=\"0.14\", expect_size=\"24286208\"] \n  17 -> 38 [size =\"24286208\"]\n  17 -> 40 [size =\"24286208\"]\n  18 [size=\"94679040\", alpha=\"0.04\", expect_size=\"47339520\"] \n  18 -> 35 [size =\"47339520\"]\n  18 -> 39 [size =\"47339520\"]\n  18 -> 40 [size =\"47339520\"]\n  19 [size=\"29130752\", alpha=\"0.12\", expect_size=\"14565376\"] \n  19 -> 35 [size =\"14565376\"]\n  19 -> 37 [size =\"14565376\"]\n  19 -> 39 [size =\"14565376\"]\n  19 -> 40 [size =\"14565376\"]\n  20 [size=\"63739904\", alpha=\"0.14\", expect_size=\"31869952\"] \n  20 -> 33 [size =\"31869952\"]\n  20 -> 35 [size =\"31869952\"]\n  21 [size=\"81041408\", alpha=\"0.18\", expect_size=\"40520704\"] \n  21 -> 39 [size =\"40520704\"]\n  22 [size=\"14116864\", alpha=\"0.10\", expect_size=\"7058432\"] \n  22 -> 39 [size =\"7058432\"]\n  22 -> 40 [size =\"7058432\"]\n  23 [size=\"85641216\", alpha=\"0.13\", expect_size=\"42820608\"] \n  23 -> 33 [size =\"42820608\"]\n  23 -> 34 [size =\"42820608\"]\n  23 -> 35 [size =\"42820608\"]\n  23 -> 39 [size =\"42820608\"]\n  24 [size=\"36034560\", alpha=\"0.09\", expect_size=\"18017280\"] \n  24 -> 34 [size =\"18017280\"]\n  24 -> 34 [size =\"18017280\"]\n  24 -> 37 [size =\"18017280\"]\n  24 -> 39 [size =\"18017280\"]\n  25 [size=\"65533952\", alpha=\"0.06\", expect_size=\"32766976\"] \n  25 -> 37 [size =\"32766976\"]\n  25 -> 39 [size =\"32766976\"]\n  26 [size=\"41719808\", alpha=\"0.15\", expect_size=\"20859904\"] \n  26 -> 37 [size =\"20859904\"]\n  26 -> 39 [size =\"20859904\"]\n  26 -> 40 [size =\"20859904\"]\n  27 [size=\"74166272\", alpha=\"0.19\", expect_size=\"37083136\"] \n  27 -> 39 [size =\"37083136\"]\n  27 -> 40 [size =\"37083136\"]\n  27 -> 40 [size =\"37083136\"]\n  28 [size=\"47998976\", alpha=\"0.02\", expect_size=\"23999488\"] \n  29 [size=\"68474880\", alpha=\"0.08\", expect_size=\"34237440\"] \n  29 -> 34 [size =\"34237440\"]\n  29 -> 37 [size =\"34237440\"]\n  29 -> 40 [size =\"34237440\"]\n  30 [size=\"29433856\", alpha=\"0.06\", expect_size=\"14716928\"] \n  30 -> 39 [size =\"14716928\"]\n  30 -> 40 [size =\"14716928\"]\n  31 [size=\"96137216\", alpha=\"0.09\", expect_size=\"48068608\"] \n  31 -> 35 [size =\"48068608\"]\n  31 -> 37 [size =\"48068608\"]\n  31 -> 39 [size =\"48068608\"]\n  31 -> 40 [size =\"48068608\"]\n  32 [size=\"86575104\", alpha=\"0.10\", expect_size=\"43287552\"] \n  32 -> 37 [size =\"43287552\"]\n  32 -> 39 [size =\"43287552\"]\n  32 -> 39 [size =\"43287552\"]\n  33 [size=\"39026688\", alpha=\"0.03\", expect_size=\"19513344\"] \n  34 [size=\"102146048\", alpha=\"0.11\", expect_size=\"51073024\"] \n  35 [size=\"51951616\", alpha=\"0.17\", expect_size=\"25975808\"] \n  36 [size=\"78823424\", alpha=\"0.08\", expect_size=\"39411712\"] \n  37 [size=\"55820288\", alpha=\"0.07\", expect_size=\"27910144\"] \n  38 [size=\"52217856\", alpha=\"0.04\", expect_size=\"26108928\"] \n  39 [size=\"61868032\", alpha=\"0.05\", expect_size=\"30934016\"] \n  40 [size=\"100644864\", alpha=\"0.17\", expect_size=\"50322432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125637973\", alpha=\"0.19\", expect_size=\"37691392\"] \n  1 -> 4 [size =\"37691392\"]\n  1 -> 5 [size =\"37691392\"]\n  2 [size=\"156508160\", alpha=\"0.18\", expect_size=\"46952448\"] \n  2 -> 4 [size =\"46952448\"]\n  3 [size=\"46301867\", alpha=\"0.05\", expect_size=\"13890560\"] \n  4 [size=\"32443733\", alpha=\"0.11\", expect_size=\"9733120\"] \n  4 -> 6 [size =\"9733120\"]\n  4 -> 7 [size =\"9733120\"]\n  4 -> 8 [size =\"9733120\"]\n  5 [size=\"132136960\", alpha=\"0.02\", expect_size=\"39641088\"] \n  6 [size=\"47247360\", alpha=\"0.17\", expect_size=\"14174208\"] \n  6 -> 10 [size =\"14174208\"]\n  6 -> 11 [size =\"14174208\"]\n  7 [size=\"58716160\", alpha=\"0.01\", expect_size=\"17614848\"] \n  8 [size=\"97112747\", alpha=\"0.08\", expect_size=\"29133824\"] \n  8 -> 9 [size =\"29133824\"]\n  8 -> 11 [size =\"29133824\"]\n  9 [size=\"134376107\", alpha=\"0.11\", expect_size=\"40312832\"] \n  9 -> 13 [size =\"40312832\"]\n  10 [size=\"162071893\", alpha=\"0.18\", expect_size=\"48621568\"] \n  10 -> 13 [size =\"48621568\"]\n  11 [size=\"45537280\", alpha=\"0.18\", expect_size=\"13661184\"] \n  11 -> 12 [size =\"13661184\"]\n  12 [size=\"41209173\", alpha=\"0.18\", expect_size=\"12362752\"] \n  12 -> 15 [size =\"12362752\"]\n  13 [size=\"25180160\", alpha=\"0.07\", expect_size=\"7554048\"] \n  13 -> 14 [size =\"7554048\"]\n  13 -> 16 [size =\"7554048\"]\n  14 [size=\"67399680\", alpha=\"0.12\", expect_size=\"20219904\"] \n  14 -> 18 [size =\"20219904\"]\n  15 [size=\"154965333\", alpha=\"0.19\", expect_size=\"46489600\"] \n  15 -> 17 [size =\"46489600\"]\n  15 -> 18 [size =\"46489600\"]\n  16 [size=\"169229653\", alpha=\"0.00\", expect_size=\"50768896\"] \n  17 [size=\"143916373\", alpha=\"0.18\", expect_size=\"43174912\"] \n  18 [size=\"148476587\", alpha=\"0.19\", expect_size=\"44542976\"] \n  18 -> 19 [size =\"44542976\"]\n  18 -> 20 [size =\"44542976\"]\n  19 [size=\"56586240\", alpha=\"0.20\", expect_size=\"16975872\"] \n  20 [size=\"144325973\", alpha=\"0.10\", expect_size=\"43297792\"] \n  20 -> 21 [size =\"43297792\"]\n  20 -> 22 [size =\"43297792\"]\n  21 [size=\"130761387\", alpha=\"0.15\", expect_size=\"39228416\"] \n  21 -> 23 [size =\"39228416\"]\n  21 -> 24 [size =\"39228416\"]\n  22 [size=\"114783573\", alpha=\"0.17\", expect_size=\"34435072\"] \n  23 [size=\"97239040\", alpha=\"0.03\", expect_size=\"29171712\"] \n  23 -> 26 [size =\"29171712\"]\n  24 [size=\"151558827\", alpha=\"0.10\", expect_size=\"45467648\"] \n  24 -> 25 [size =\"45467648\"]\n  25 [size=\"90234880\", alpha=\"0.12\", expect_size=\"27070464\"] \n  25 -> 29 [size =\"27070464\"]\n  26 [size=\"85244587\", alpha=\"0.18\", expect_size=\"25573376\"] \n  26 -> 27 [size =\"25573376\"]\n  26 -> 28 [size =\"25573376\"]\n  27 [size=\"85957973\", alpha=\"0.10\", expect_size=\"25787392\"] \n  27 -> 31 [size =\"25787392\"]\n  28 [size=\"68628480\", alpha=\"0.11\", expect_size=\"20588544\"] \n  28 -> 31 [size =\"20588544\"]\n  29 [size=\"62904320\", alpha=\"0.07\", expect_size=\"18871296\"] \n  29 -> 30 [size =\"18871296\"]\n  30 [size=\"61416107\", alpha=\"0.02\", expect_size=\"18424832\"] \n  30 -> 33 [size =\"18424832\"]\n  31 [size=\"143441920\", alpha=\"0.20\", expect_size=\"43032576\"] \n  31 -> 32 [size =\"43032576\"]\n  32 [size=\"102570667\", alpha=\"0.01\", expect_size=\"30771200\"] \n  32 -> 35 [size =\"30771200\"]\n  32 -> 36 [size =\"30771200\"]\n  33 [size=\"77830827\", alpha=\"0.03\", expect_size=\"23349248\"] \n  33 -> 34 [size =\"23349248\"]\n  34 [size=\"98054827\", alpha=\"0.12\", expect_size=\"29416448\"] \n  34 -> 37 [size =\"29416448\"]\n  34 -> 38 [size =\"29416448\"]\n  35 [size=\"20920320\", alpha=\"0.18\", expect_size=\"6276096\"] \n  36 [size=\"118381227\", alpha=\"0.03\", expect_size=\"35514368\"] \n  36 -> 38 [size =\"35514368\"]\n  37 [size=\"105632427\", alpha=\"0.05\", expect_size=\"31689728\"] \n  37 -> 39 [size =\"31689728\"]\n  37 -> 40 [size =\"31689728\"]\n  38 [size=\"23917227\", alpha=\"0.03\", expect_size=\"7175168\"] \n  39 [size=\"110155093\", alpha=\"0.06\", expect_size=\"33046528\"] \n  40 [size=\"166683307\", alpha=\"0.05\", expect_size=\"50004992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123904000\", alpha=\"0.08\", expect_size=\"49561600\"] \n  1 -> 13 [size =\"49561600\"]\n  1 -> 14 [size =\"49561600\"]\n  1 -> 16 [size =\"49561600\"]\n  1 -> 18 [size =\"49561600\"]\n  2 [size=\"111249920\", alpha=\"0.01\", expect_size=\"44499968\"] \n  2 -> 16 [size =\"44499968\"]\n  3 [size=\"101946880\", alpha=\"0.19\", expect_size=\"40778752\"] \n  3 -> 12 [size =\"40778752\"]\n  3 -> 13 [size =\"40778752\"]\n  3 -> 16 [size =\"40778752\"]\n  4 [size=\"104670720\", alpha=\"0.15\", expect_size=\"41868288\"] \n  4 -> 12 [size =\"41868288\"]\n  4 -> 15 [size =\"41868288\"]\n  4 -> 17 [size =\"41868288\"]\n  4 -> 19 [size =\"41868288\"]\n  5 [size=\"27036160\", alpha=\"0.07\", expect_size=\"10814464\"] \n  5 -> 11 [size =\"10814464\"]\n  5 -> 14 [size =\"10814464\"]\n  6 [size=\"47434240\", alpha=\"0.02\", expect_size=\"18973696\"] \n  6 -> 12 [size =\"18973696\"]\n  6 -> 14 [size =\"18973696\"]\n  7 [size=\"48192000\", alpha=\"0.08\", expect_size=\"19276800\"] \n  7 -> 12 [size =\"19276800\"]\n  7 -> 13 [size =\"19276800\"]\n  7 -> 18 [size =\"19276800\"]\n  8 [size=\"38993920\", alpha=\"0.13\", expect_size=\"15597568\"] \n  8 -> 11 [size =\"15597568\"]\n  8 -> 17 [size =\"15597568\"]\n  8 -> 19 [size =\"15597568\"]\n  9 [size=\"40547840\", alpha=\"0.02\", expect_size=\"16219136\"] \n  9 -> 10 [size =\"16219136\"]\n  9 -> 11 [size =\"16219136\"]\n  9 -> 12 [size =\"16219136\"]\n  9 -> 13 [size =\"16219136\"]\n  9 -> 14 [size =\"16219136\"]\n  9 -> 16 [size =\"16219136\"]\n  10 [size=\"69903360\", alpha=\"0.17\", expect_size=\"27961344\"] \n  10 -> 21 [size =\"27961344\"]\n  10 -> 23 [size =\"27961344\"]\n  10 -> 23 [size =\"27961344\"]\n  10 -> 29 [size =\"27961344\"]\n  10 -> 31 [size =\"27961344\"]\n  10 -> 32 [size =\"27961344\"]\n  10 -> 35 [size =\"27961344\"]\n  11 [size=\"115489280\", alpha=\"0.03\", expect_size=\"46195712\"] \n  11 -> 20 [size =\"46195712\"]\n  11 -> 29 [size =\"46195712\"]\n  11 -> 32 [size =\"46195712\"]\n  11 -> 34 [size =\"46195712\"]\n  12 [size=\"45826560\", alpha=\"0.19\", expect_size=\"18330624\"] \n  12 -> 21 [size =\"18330624\"]\n  12 -> 24 [size =\"18330624\"]\n  12 -> 25 [size =\"18330624\"]\n  12 -> 28 [size =\"18330624\"]\n  12 -> 31 [size =\"18330624\"]\n  13 [size=\"52116480\", alpha=\"0.05\", expect_size=\"20846592\"] \n  13 -> 20 [size =\"20846592\"]\n  13 -> 25 [size =\"20846592\"]\n  13 -> 28 [size =\"20846592\"]\n  13 -> 29 [size =\"20846592\"]\n  13 -> 30 [size =\"20846592\"]\n  13 -> 31 [size =\"20846592\"]\n  13 -> 33 [size =\"20846592\"]\n  13 -> 34 [size =\"20846592\"]\n  13 -> 35 [size =\"20846592\"]\n  14 [size=\"45212160\", alpha=\"0.04\", expect_size=\"18084864\"] \n  14 -> 21 [size =\"18084864\"]\n  14 -> 24 [size =\"18084864\"]\n  14 -> 25 [size =\"18084864\"]\n  14 -> 29 [size =\"18084864\"]\n  15 [size=\"18265600\", alpha=\"0.09\", expect_size=\"7306240\"] \n  15 -> 24 [size =\"7306240\"]\n  15 -> 26 [size =\"7306240\"]\n  15 -> 28 [size =\"7306240\"]\n  15 -> 31 [size =\"7306240\"]\n  15 -> 32 [size =\"7306240\"]\n  16 [size=\"61568000\", alpha=\"0.19\", expect_size=\"24627200\"] \n  16 -> 21 [size =\"24627200\"]\n  16 -> 27 [size =\"24627200\"]\n  16 -> 31 [size =\"24627200\"]\n  16 -> 34 [size =\"24627200\"]\n  17 [size=\"72670720\", alpha=\"0.18\", expect_size=\"29068288\"] \n  17 -> 22 [size =\"29068288\"]\n  17 -> 23 [size =\"29068288\"]\n  17 -> 25 [size =\"29068288\"]\n  17 -> 26 [size =\"29068288\"]\n  17 -> 30 [size =\"29068288\"]\n  17 -> 31 [size =\"29068288\"]\n  17 -> 32 [size =\"29068288\"]\n  17 -> 33 [size =\"29068288\"]\n  17 -> 34 [size =\"29068288\"]\n  18 [size=\"121175040\", alpha=\"0.18\", expect_size=\"48470016\"] \n  18 -> 22 [size =\"48470016\"]\n  18 -> 23 [size =\"48470016\"]\n  18 -> 28 [size =\"48470016\"]\n  18 -> 30 [size =\"48470016\"]\n  18 -> 32 [size =\"48470016\"]\n  18 -> 34 [size =\"48470016\"]\n  19 [size=\"79923200\", alpha=\"0.15\", expect_size=\"31969280\"] \n  19 -> 21 [size =\"31969280\"]\n  19 -> 22 [size =\"31969280\"]\n  19 -> 23 [size =\"31969280\"]\n  19 -> 29 [size =\"31969280\"]\n  19 -> 32 [size =\"31969280\"]\n  19 -> 34 [size =\"31969280\"]\n  20 [size=\"89848320\", alpha=\"0.18\", expect_size=\"35939328\"] \n  20 -> 36 [size =\"35939328\"]\n  21 [size=\"74127360\", alpha=\"0.19\", expect_size=\"29650944\"] \n  21 -> 36 [size =\"29650944\"]\n  21 -> 38 [size =\"29650944\"]\n  22 [size=\"92587520\", alpha=\"0.17\", expect_size=\"37035008\"] \n  22 -> 36 [size =\"37035008\"]\n  22 -> 38 [size =\"37035008\"]\n  22 -> 39 [size =\"37035008\"]\n  23 [size=\"87270400\", alpha=\"0.11\", expect_size=\"34908160\"] \n  23 -> 36 [size =\"34908160\"]\n  23 -> 38 [size =\"34908160\"]\n  24 [size=\"114475520\", alpha=\"0.19\", expect_size=\"45790208\"] \n  25 [size=\"22031360\", alpha=\"0.10\", expect_size=\"8812544\"] \n  25 -> 36 [size =\"8812544\"]\n  25 -> 37 [size =\"8812544\"]\n  25 -> 39 [size =\"8812544\"]\n  25 -> 40 [size =\"8812544\"]\n  26 [size=\"72842240\", alpha=\"0.07\", expect_size=\"29136896\"] \n  26 -> 39 [size =\"29136896\"]\n  27 [size=\"67776000\", alpha=\"0.10\", expect_size=\"27110400\"] \n  28 [size=\"53583360\", alpha=\"0.17\", expect_size=\"21433344\"] \n  28 -> 36 [size =\"21433344\"]\n  28 -> 38 [size =\"21433344\"]\n  28 -> 39 [size =\"21433344\"]\n  29 [size=\"40683520\", alpha=\"0.09\", expect_size=\"16273408\"] \n  29 -> 36 [size =\"16273408\"]\n  29 -> 40 [size =\"16273408\"]\n  30 [size=\"128281600\", alpha=\"0.11\", expect_size=\"51312640\"] \n  30 -> 36 [size =\"51312640\"]\n  30 -> 38 [size =\"51312640\"]\n  30 -> 39 [size =\"51312640\"]\n  31 [size=\"114076160\", alpha=\"0.10\", expect_size=\"45630464\"] \n  31 -> 36 [size =\"45630464\"]\n  31 -> 38 [size =\"45630464\"]\n  31 -> 39 [size =\"45630464\"]\n  32 [size=\"108864000\", alpha=\"0.14\", expect_size=\"43545600\"] \n  32 -> 38 [size =\"43545600\"]\n  33 [size=\"92823040\", alpha=\"0.05\", expect_size=\"37129216\"] \n  33 -> 37 [size =\"37129216\"]\n  33 -> 38 [size =\"37129216\"]\n  34 [size=\"36833280\", alpha=\"0.02\", expect_size=\"14733312\"] \n  34 -> 38 [size =\"14733312\"]\n  35 [size=\"32455680\", alpha=\"0.19\", expect_size=\"12982272\"] \n  35 -> 36 [size =\"12982272\"]\n  36 [size=\"93619200\", alpha=\"0.05\", expect_size=\"37447680\"] \n  37 [size=\"18723840\", alpha=\"0.01\", expect_size=\"7489536\"] \n  38 [size=\"78786560\", alpha=\"0.15\", expect_size=\"31514624\"] \n  39 [size=\"63764480\", alpha=\"0.20\", expect_size=\"25505792\"] \n  40 [size=\"119065600\", alpha=\"0.18\", expect_size=\"47626240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143571627\", alpha=\"0.03\", expect_size=\"43071488\"] \n  1 -> 16 [size =\"43071488\"]\n  1 -> 18 [size =\"43071488\"]\n  1 -> 21 [size =\"43071488\"]\n  1 -> 24 [size =\"43071488\"]\n  2 [size=\"161481387\", alpha=\"0.04\", expect_size=\"48444416\"] \n  2 -> 19 [size =\"48444416\"]\n  2 -> 21 [size =\"48444416\"]\n  3 [size=\"59098453\", alpha=\"0.15\", expect_size=\"17729536\"] \n  3 -> 18 [size =\"17729536\"]\n  3 -> 21 [size =\"17729536\"]\n  4 [size=\"154518187\", alpha=\"0.04\", expect_size=\"46355456\"] \n  4 -> 16 [size =\"46355456\"]\n  4 -> 21 [size =\"46355456\"]\n  4 -> 25 [size =\"46355456\"]\n  5 [size=\"91668480\", alpha=\"0.05\", expect_size=\"27500544\"] \n  5 -> 16 [size =\"27500544\"]\n  5 -> 18 [size =\"27500544\"]\n  5 -> 19 [size =\"27500544\"]\n  5 -> 21 [size =\"27500544\"]\n  5 -> 22 [size =\"27500544\"]\n  5 -> 23 [size =\"27500544\"]\n  5 -> 24 [size =\"27500544\"]\n  5 -> 25 [size =\"27500544\"]\n  6 [size=\"112448853\", alpha=\"0.14\", expect_size=\"33734656\"] \n  6 -> 19 [size =\"33734656\"]\n  6 -> 21 [size =\"33734656\"]\n  6 -> 23 [size =\"33734656\"]\n  6 -> 25 [size =\"33734656\"]\n  7 [size=\"126132907\", alpha=\"0.07\", expect_size=\"37839872\"] \n  7 -> 16 [size =\"37839872\"]\n  7 -> 19 [size =\"37839872\"]\n  7 -> 21 [size =\"37839872\"]\n  7 -> 22 [size =\"37839872\"]\n  8 [size=\"121958400\", alpha=\"0.01\", expect_size=\"36587520\"] \n  8 -> 15 [size =\"36587520\"]\n  8 -> 16 [size =\"36587520\"]\n  8 -> 21 [size =\"36587520\"]\n  8 -> 22 [size =\"36587520\"]\n  8 -> 23 [size =\"36587520\"]\n  8 -> 24 [size =\"36587520\"]\n  9 [size=\"80732160\", alpha=\"0.16\", expect_size=\"24219648\"] \n  9 -> 16 [size =\"24219648\"]\n  9 -> 16 [size =\"24219648\"]\n  9 -> 17 [size =\"24219648\"]\n  9 -> 19 [size =\"24219648\"]\n  9 -> 20 [size =\"24219648\"]\n  9 -> 21 [size =\"24219648\"]\n  9 -> 23 [size =\"24219648\"]\n  9 -> 24 [size =\"24219648\"]\n  9 -> 25 [size =\"24219648\"]\n  10 [size=\"75004587\", alpha=\"0.14\", expect_size=\"22501376\"] \n  10 -> 15 [size =\"22501376\"]\n  10 -> 16 [size =\"22501376\"]\n  10 -> 17 [size =\"22501376\"]\n  10 -> 19 [size =\"22501376\"]\n  10 -> 21 [size =\"22501376\"]\n  10 -> 21 [size =\"22501376\"]\n  10 -> 22 [size =\"22501376\"]\n  10 -> 24 [size =\"22501376\"]\n  10 -> 25 [size =\"22501376\"]\n  11 [size=\"157470720\", alpha=\"0.08\", expect_size=\"47241216\"] \n  11 -> 15 [size =\"47241216\"]\n  11 -> 16 [size =\"47241216\"]\n  11 -> 19 [size =\"47241216\"]\n  11 -> 21 [size =\"47241216\"]\n  12 [size=\"20442453\", alpha=\"0.16\", expect_size=\"6132736\"] \n  12 -> 16 [size =\"6132736\"]\n  12 -> 18 [size =\"6132736\"]\n  12 -> 22 [size =\"6132736\"]\n  12 -> 23 [size =\"6132736\"]\n  12 -> 25 [size =\"6132736\"]\n  13 [size=\"54964907\", alpha=\"0.08\", expect_size=\"16489472\"] \n  13 -> 16 [size =\"16489472\"]\n  13 -> 19 [size =\"16489472\"]\n  13 -> 22 [size =\"16489472\"]\n  13 -> 23 [size =\"16489472\"]\n  13 -> 24 [size =\"16489472\"]\n  14 [size=\"171397120\", alpha=\"0.17\", expect_size=\"51419136\"] \n  14 -> 15 [size =\"51419136\"]\n  14 -> 16 [size =\"51419136\"]\n  14 -> 19 [size =\"51419136\"]\n  14 -> 22 [size =\"51419136\"]\n  14 -> 23 [size =\"51419136\"]\n  15 [size=\"43407360\", alpha=\"0.12\", expect_size=\"13022208\"] \n  15 -> 29 [size =\"13022208\"]\n  15 -> 31 [size =\"13022208\"]\n  15 -> 32 [size =\"13022208\"]\n  15 -> 35 [size =\"13022208\"]\n  15 -> 37 [size =\"13022208\"]\n  16 [size=\"82404693\", alpha=\"0.15\", expect_size=\"24721408\"] \n  16 -> 27 [size =\"24721408\"]\n  16 -> 28 [size =\"24721408\"]\n  16 -> 29 [size =\"24721408\"]\n  16 -> 30 [size =\"24721408\"]\n  16 -> 32 [size =\"24721408\"]\n  16 -> 34 [size =\"24721408\"]\n  17 [size=\"34546347\", alpha=\"0.18\", expect_size=\"10363904\"] \n  17 -> 27 [size =\"10363904\"]\n  17 -> 29 [size =\"10363904\"]\n  17 -> 30 [size =\"10363904\"]\n  17 -> 30 [size =\"10363904\"]\n  17 -> 31 [size =\"10363904\"]\n  17 -> 34 [size =\"10363904\"]\n  17 -> 35 [size =\"10363904\"]\n  17 -> 36 [size =\"10363904\"]\n  18 [size=\"91456853\", alpha=\"0.16\", expect_size=\"27437056\"] \n  18 -> 27 [size =\"27437056\"]\n  18 -> 28 [size =\"27437056\"]\n  18 -> 29 [size =\"27437056\"]\n  18 -> 34 [size =\"27437056\"]\n  19 [size=\"96266240\", alpha=\"0.05\", expect_size=\"28879872\"] \n  19 -> 26 [size =\"28879872\"]\n  19 -> 28 [size =\"28879872\"]\n  19 -> 29 [size =\"28879872\"]\n  19 -> 38 [size =\"28879872\"]\n  20 [size=\"65211733\", alpha=\"0.17\", expect_size=\"19563520\"] \n  20 -> 27 [size =\"19563520\"]\n  20 -> 30 [size =\"19563520\"]\n  20 -> 32 [size =\"19563520\"]\n  20 -> 33 [size =\"19563520\"]\n  21 [size=\"173226667\", alpha=\"0.04\", expect_size=\"51968000\"] \n  21 -> 26 [size =\"51968000\"]\n  21 -> 27 [size =\"51968000\"]\n  21 -> 28 [size =\"51968000\"]\n  21 -> 30 [size =\"51968000\"]\n  21 -> 34 [size =\"51968000\"]\n  21 -> 38 [size =\"51968000\"]\n  22 [size=\"80971093\", alpha=\"0.10\", expect_size=\"24291328\"] \n  22 -> 27 [size =\"24291328\"]\n  22 -> 28 [size =\"24291328\"]\n  22 -> 28 [size =\"24291328\"]\n  22 -> 29 [size =\"24291328\"]\n  22 -> 32 [size =\"24291328\"]\n  22 -> 34 [size =\"24291328\"]\n  22 -> 35 [size =\"24291328\"]\n  22 -> 36 [size =\"24291328\"]\n  23 [size=\"52183040\", alpha=\"0.00\", expect_size=\"15654912\"] \n  23 -> 27 [size =\"15654912\"]\n  23 -> 28 [size =\"15654912\"]\n  23 -> 29 [size =\"15654912\"]\n  23 -> 29 [size =\"15654912\"]\n  23 -> 30 [size =\"15654912\"]\n  23 -> 31 [size =\"15654912\"]\n  23 -> 34 [size =\"15654912\"]\n  23 -> 35 [size =\"15654912\"]\n  23 -> 37 [size =\"15654912\"]\n  24 [size=\"116534613\", alpha=\"0.09\", expect_size=\"34960384\"] \n  24 -> 27 [size =\"34960384\"]\n  24 -> 29 [size =\"34960384\"]\n  24 -> 31 [size =\"34960384\"]\n  24 -> 32 [size =\"34960384\"]\n  24 -> 38 [size =\"34960384\"]\n  25 [size=\"95924907\", alpha=\"0.06\", expect_size=\"28777472\"] \n  25 -> 26 [size =\"28777472\"]\n  25 -> 27 [size =\"28777472\"]\n  25 -> 30 [size =\"28777472\"]\n  25 -> 31 [size =\"28777472\"]\n  25 -> 32 [size =\"28777472\"]\n  25 -> 34 [size =\"28777472\"]\n  25 -> 35 [size =\"28777472\"]\n  25 -> 37 [size =\"28777472\"]\n  25 -> 38 [size =\"28777472\"]\n  26 [size=\"33112747\", alpha=\"0.16\", expect_size=\"9933824\"] \n  26 -> 40 [size =\"9933824\"]\n  27 [size=\"152333653\", alpha=\"0.20\", expect_size=\"45700096\"] \n  27 -> 40 [size =\"45700096\"]\n  28 [size=\"137567573\", alpha=\"0.17\", expect_size=\"41270272\"] \n  28 -> 40 [size =\"41270272\"]\n  29 [size=\"108687360\", alpha=\"0.02\", expect_size=\"32606208\"] \n  29 -> 39 [size =\"32606208\"]\n  29 -> 40 [size =\"32606208\"]\n  30 [size=\"151405227\", alpha=\"0.14\", expect_size=\"45421568\"] \n  30 -> 39 [size =\"45421568\"]\n  30 -> 40 [size =\"45421568\"]\n  31 [size=\"125163520\", alpha=\"0.04\", expect_size=\"37549056\"] \n  31 -> 40 [size =\"37549056\"]\n  31 -> 40 [size =\"37549056\"]\n  32 [size=\"156064427\", alpha=\"0.14\", expect_size=\"46819328\"] \n  33 [size=\"73540267\", alpha=\"0.10\", expect_size=\"22062080\"] \n  34 [size=\"76496213\", alpha=\"0.04\", expect_size=\"22948864\"] \n  34 -> 39 [size =\"22948864\"]\n  34 -> 40 [size =\"22948864\"]\n  35 [size=\"144694613\", alpha=\"0.03\", expect_size=\"43408384\"] \n  36 [size=\"37751467\", alpha=\"0.09\", expect_size=\"11325440\"] \n  36 -> 40 [size =\"11325440\"]\n  37 [size=\"165215573\", alpha=\"0.17\", expect_size=\"49564672\"] \n  37 -> 39 [size =\"49564672\"]\n  37 -> 40 [size =\"49564672\"]\n  38 [size=\"163887787\", alpha=\"0.15\", expect_size=\"49166336\"] \n  38 -> 40 [size =\"49166336\"]\n  39 [size=\"138257067\", alpha=\"0.03\", expect_size=\"41477120\"] \n  40 [size=\"151572480\", alpha=\"0.17\", expect_size=\"45471744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45332480\", alpha=\"0.17\", expect_size=\"13599744\"] \n  1 -> 11 [size =\"13599744\"]\n  1 -> 15 [size =\"13599744\"]\n  1 -> 17 [size =\"13599744\"]\n  1 -> 19 [size =\"13599744\"]\n  1 -> 21 [size =\"13599744\"]\n  2 [size=\"98382507\", alpha=\"0.08\", expect_size=\"29514752\"] \n  2 -> 11 [size =\"29514752\"]\n  2 -> 15 [size =\"29514752\"]\n  2 -> 18 [size =\"29514752\"]\n  2 -> 19 [size =\"29514752\"]\n  2 -> 20 [size =\"29514752\"]\n  2 -> 22 [size =\"29514752\"]\n  3 [size=\"63720107\", alpha=\"0.11\", expect_size=\"19116032\"] \n  3 -> 11 [size =\"19116032\"]\n  3 -> 12 [size =\"19116032\"]\n  3 -> 19 [size =\"19116032\"]\n  3 -> 20 [size =\"19116032\"]\n  4 [size=\"94115840\", alpha=\"0.12\", expect_size=\"28234752\"] \n  4 -> 11 [size =\"28234752\"]\n  4 -> 12 [size =\"28234752\"]\n  4 -> 14 [size =\"28234752\"]\n  4 -> 15 [size =\"28234752\"]\n  4 -> 19 [size =\"28234752\"]\n  5 [size=\"151111680\", alpha=\"0.03\", expect_size=\"45333504\"] \n  5 -> 11 [size =\"45333504\"]\n  5 -> 12 [size =\"45333504\"]\n  5 -> 13 [size =\"45333504\"]\n  5 -> 14 [size =\"45333504\"]\n  5 -> 15 [size =\"45333504\"]\n  5 -> 22 [size =\"45333504\"]\n  6 [size=\"87456427\", alpha=\"0.16\", expect_size=\"26236928\"] \n  6 -> 11 [size =\"26236928\"]\n  6 -> 12 [size =\"26236928\"]\n  6 -> 22 [size =\"26236928\"]\n  7 [size=\"114517333\", alpha=\"0.17\", expect_size=\"34355200\"] \n  7 -> 11 [size =\"34355200\"]\n  7 -> 15 [size =\"34355200\"]\n  7 -> 17 [size =\"34355200\"]\n  7 -> 18 [size =\"34355200\"]\n  8 [size=\"119244800\", alpha=\"0.09\", expect_size=\"35773440\"] \n  8 -> 11 [size =\"35773440\"]\n  8 -> 15 [size =\"35773440\"]\n  8 -> 16 [size =\"35773440\"]\n  8 -> 17 [size =\"35773440\"]\n  9 [size=\"35645440\", alpha=\"0.01\", expect_size=\"10693632\"] \n  9 -> 12 [size =\"10693632\"]\n  9 -> 15 [size =\"10693632\"]\n  9 -> 17 [size =\"10693632\"]\n  9 -> 18 [size =\"10693632\"]\n  10 [size=\"64764587\", alpha=\"0.01\", expect_size=\"19429376\"] \n  10 -> 12 [size =\"19429376\"]\n  10 -> 15 [size =\"19429376\"]\n  10 -> 19 [size =\"19429376\"]\n  10 -> 20 [size =\"19429376\"]\n  11 [size=\"170161493\", alpha=\"0.05\", expect_size=\"51048448\"] \n  11 -> 23 [size =\"51048448\"]\n  11 -> 24 [size =\"51048448\"]\n  11 -> 27 [size =\"51048448\"]\n  11 -> 28 [size =\"51048448\"]\n  11 -> 29 [size =\"51048448\"]\n  11 -> 30 [size =\"51048448\"]\n  11 -> 36 [size =\"51048448\"]\n  12 [size=\"147712000\", alpha=\"0.05\", expect_size=\"44313600\"] \n  12 -> 24 [size =\"44313600\"]\n  12 -> 24 [size =\"44313600\"]\n  12 -> 25 [size =\"44313600\"]\n  12 -> 27 [size =\"44313600\"]\n  12 -> 29 [size =\"44313600\"]\n  12 -> 30 [size =\"44313600\"]\n  12 -> 33 [size =\"44313600\"]\n  12 -> 35 [size =\"44313600\"]\n  12 -> 36 [size =\"44313600\"]\n  12 -> 37 [size =\"44313600\"]\n  13 [size=\"52763307\", alpha=\"0.03\", expect_size=\"15828992\"] \n  13 -> 25 [size =\"15828992\"]\n  13 -> 26 [size =\"15828992\"]\n  13 -> 27 [size =\"15828992\"]\n  13 -> 29 [size =\"15828992\"]\n  13 -> 33 [size =\"15828992\"]\n  13 -> 34 [size =\"15828992\"]\n  13 -> 35 [size =\"15828992\"]\n  13 -> 36 [size =\"15828992\"]\n  13 -> 36 [size =\"15828992\"]\n  13 -> 38 [size =\"15828992\"]\n  14 [size=\"139533653\", alpha=\"0.03\", expect_size=\"41860096\"] \n  14 -> 26 [size =\"41860096\"]\n  14 -> 29 [size =\"41860096\"]\n  14 -> 32 [size =\"41860096\"]\n  14 -> 35 [size =\"41860096\"]\n  14 -> 38 [size =\"41860096\"]\n  15 [size=\"79104000\", alpha=\"0.08\", expect_size=\"23731200\"] \n  15 -> 24 [size =\"23731200\"]\n  15 -> 27 [size =\"23731200\"]\n  15 -> 28 [size =\"23731200\"]\n  15 -> 29 [size =\"23731200\"]\n  15 -> 33 [size =\"23731200\"]\n  15 -> 36 [size =\"23731200\"]\n  16 [size=\"102150827\", alpha=\"0.04\", expect_size=\"30645248\"] \n  16 -> 24 [size =\"30645248\"]\n  16 -> 27 [size =\"30645248\"]\n  16 -> 28 [size =\"30645248\"]\n  16 -> 30 [size =\"30645248\"]\n  16 -> 33 [size =\"30645248\"]\n  16 -> 34 [size =\"30645248\"]\n  16 -> 37 [size =\"30645248\"]\n  16 -> 38 [size =\"30645248\"]\n  17 [size=\"73615360\", alpha=\"0.03\", expect_size=\"22084608\"] \n  17 -> 24 [size =\"22084608\"]\n  17 -> 25 [size =\"22084608\"]\n  17 -> 27 [size =\"22084608\"]\n  17 -> 28 [size =\"22084608\"]\n  17 -> 30 [size =\"22084608\"]\n  17 -> 33 [size =\"22084608\"]\n  17 -> 34 [size =\"22084608\"]\n  17 -> 36 [size =\"22084608\"]\n  18 [size=\"48148480\", alpha=\"0.20\", expect_size=\"14444544\"] \n  18 -> 26 [size =\"14444544\"]\n  18 -> 27 [size =\"14444544\"]\n  18 -> 29 [size =\"14444544\"]\n  18 -> 34 [size =\"14444544\"]\n  18 -> 35 [size =\"14444544\"]\n  19 [size=\"117640533\", alpha=\"0.12\", expect_size=\"35292160\"] \n  19 -> 24 [size =\"35292160\"]\n  19 -> 25 [size =\"35292160\"]\n  19 -> 26 [size =\"35292160\"]\n  19 -> 27 [size =\"35292160\"]\n  19 -> 34 [size =\"35292160\"]\n  19 -> 35 [size =\"35292160\"]\n  20 [size=\"126880427\", alpha=\"0.13\", expect_size=\"38064128\"] \n  20 -> 24 [size =\"38064128\"]\n  20 -> 25 [size =\"38064128\"]\n  20 -> 27 [size =\"38064128\"]\n  20 -> 28 [size =\"38064128\"]\n  20 -> 29 [size =\"38064128\"]\n  20 -> 31 [size =\"38064128\"]\n  20 -> 32 [size =\"38064128\"]\n  20 -> 34 [size =\"38064128\"]\n  20 -> 36 [size =\"38064128\"]\n  21 [size=\"135191893\", alpha=\"0.17\", expect_size=\"40557568\"] \n  21 -> 23 [size =\"40557568\"]\n  21 -> 24 [size =\"40557568\"]\n  21 -> 26 [size =\"40557568\"]\n  21 -> 27 [size =\"40557568\"]\n  21 -> 34 [size =\"40557568\"]\n  21 -> 37 [size =\"40557568\"]\n  22 [size=\"170881707\", alpha=\"0.12\", expect_size=\"51264512\"] \n  22 -> 24 [size =\"51264512\"]\n  22 -> 26 [size =\"51264512\"]\n  22 -> 26 [size =\"51264512\"]\n  22 -> 28 [size =\"51264512\"]\n  22 -> 32 [size =\"51264512\"]\n  22 -> 36 [size =\"51264512\"]\n  22 -> 37 [size =\"51264512\"]\n  23 [size=\"52660907\", alpha=\"0.13\", expect_size=\"15798272\"] \n  24 [size=\"79851520\", alpha=\"0.03\", expect_size=\"23955456\"] \n  24 -> 40 [size =\"23955456\"]\n  25 [size=\"99734187\", alpha=\"0.11\", expect_size=\"29920256\"] \n  26 [size=\"162570240\", alpha=\"0.07\", expect_size=\"48771072\"] \n  26 -> 39 [size =\"48771072\"]\n  27 [size=\"39468373\", alpha=\"0.16\", expect_size=\"11840512\"] \n  28 [size=\"59436373\", alpha=\"0.18\", expect_size=\"17830912\"] \n  28 -> 40 [size =\"17830912\"]\n  29 [size=\"56333653\", alpha=\"0.01\", expect_size=\"16900096\"] \n  30 [size=\"149411840\", alpha=\"0.11\", expect_size=\"44823552\"] \n  30 -> 39 [size =\"44823552\"]\n  31 [size=\"93095253\", alpha=\"0.01\", expect_size=\"27928576\"] \n  31 -> 39 [size =\"27928576\"]\n  32 [size=\"72533333\", alpha=\"0.07\", expect_size=\"21760000\"] \n  32 -> 40 [size =\"21760000\"]\n  33 [size=\"168628907\", alpha=\"0.17\", expect_size=\"50588672\"] \n  34 [size=\"113056427\", alpha=\"0.03\", expect_size=\"33916928\"] \n  35 [size=\"139745280\", alpha=\"0.17\", expect_size=\"41923584\"] \n  35 -> 39 [size =\"41923584\"]\n  36 [size=\"67758080\", alpha=\"0.01\", expect_size=\"20327424\"] \n  36 -> 39 [size =\"20327424\"]\n  36 -> 40 [size =\"20327424\"]\n  37 [size=\"124364800\", alpha=\"0.13\", expect_size=\"37309440\"] \n  38 [size=\"92030293\", alpha=\"0.09\", expect_size=\"27609088\"] \n  39 [size=\"72529920\", alpha=\"0.17\", expect_size=\"21758976\"] \n  40 [size=\"84036267\", alpha=\"0.19\", expect_size=\"25210880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83248640\", alpha=\"0.01\", expect_size=\"33299456\"] \n  1 -> 27 [size =\"33299456\"]\n  1 -> 30 [size =\"33299456\"]\n  1 -> 31 [size =\"33299456\"]\n  1 -> 35 [size =\"33299456\"]\n  1 -> 37 [size =\"33299456\"]\n  1 -> 40 [size =\"33299456\"]\n  2 [size=\"26086400\", alpha=\"0.02\", expect_size=\"10434560\"] \n  2 -> 27 [size =\"10434560\"]\n  2 -> 30 [size =\"10434560\"]\n  2 -> 31 [size =\"10434560\"]\n  2 -> 33 [size =\"10434560\"]\n  2 -> 34 [size =\"10434560\"]\n  2 -> 36 [size =\"10434560\"]\n  2 -> 37 [size =\"10434560\"]\n  2 -> 39 [size =\"10434560\"]\n  2 -> 40 [size =\"10434560\"]\n  3 [size=\"27937280\", alpha=\"0.06\", expect_size=\"11174912\"] \n  3 -> 27 [size =\"11174912\"]\n  3 -> 28 [size =\"11174912\"]\n  3 -> 29 [size =\"11174912\"]\n  3 -> 30 [size =\"11174912\"]\n  3 -> 31 [size =\"11174912\"]\n  3 -> 33 [size =\"11174912\"]\n  3 -> 35 [size =\"11174912\"]\n  3 -> 36 [size =\"11174912\"]\n  3 -> 38 [size =\"11174912\"]\n  3 -> 40 [size =\"11174912\"]\n  4 [size=\"41461760\", alpha=\"0.02\", expect_size=\"16584704\"] \n  4 -> 28 [size =\"16584704\"]\n  4 -> 30 [size =\"16584704\"]\n  5 [size=\"122498560\", alpha=\"0.04\", expect_size=\"48999424\"] \n  5 -> 27 [size =\"48999424\"]\n  5 -> 28 [size =\"48999424\"]\n  5 -> 30 [size =\"48999424\"]\n  5 -> 33 [size =\"48999424\"]\n  6 [size=\"47365120\", alpha=\"0.05\", expect_size=\"18946048\"] \n  6 -> 28 [size =\"18946048\"]\n  6 -> 28 [size =\"18946048\"]\n  6 -> 30 [size =\"18946048\"]\n  6 -> 33 [size =\"18946048\"]\n  6 -> 37 [size =\"18946048\"]\n  6 -> 39 [size =\"18946048\"]\n  6 -> 40 [size =\"18946048\"]\n  7 [size=\"66094080\", alpha=\"0.00\", expect_size=\"26437632\"] \n  7 -> 27 [size =\"26437632\"]\n  7 -> 28 [size =\"26437632\"]\n  7 -> 29 [size =\"26437632\"]\n  7 -> 30 [size =\"26437632\"]\n  7 -> 40 [size =\"26437632\"]\n  8 [size=\"29132800\", alpha=\"0.12\", expect_size=\"11653120\"] \n  8 -> 27 [size =\"11653120\"]\n  8 -> 28 [size =\"11653120\"]\n  8 -> 29 [size =\"11653120\"]\n  8 -> 30 [size =\"11653120\"]\n  8 -> 31 [size =\"11653120\"]\n  8 -> 34 [size =\"11653120\"]\n  8 -> 40 [size =\"11653120\"]\n  9 [size=\"102010880\", alpha=\"0.16\", expect_size=\"40804352\"] \n  9 -> 27 [size =\"40804352\"]\n  9 -> 28 [size =\"40804352\"]\n  9 -> 29 [size =\"40804352\"]\n  9 -> 30 [size =\"40804352\"]\n  9 -> 37 [size =\"40804352\"]\n  9 -> 38 [size =\"40804352\"]\n  9 -> 40 [size =\"40804352\"]\n  10 [size=\"38602240\", alpha=\"0.03\", expect_size=\"15440896\"] \n  10 -> 27 [size =\"15440896\"]\n  10 -> 30 [size =\"15440896\"]\n  10 -> 35 [size =\"15440896\"]\n  10 -> 37 [size =\"15440896\"]\n  10 -> 38 [size =\"15440896\"]\n  10 -> 38 [size =\"15440896\"]\n  10 -> 39 [size =\"15440896\"]\n  10 -> 40 [size =\"15440896\"]\n  11 [size=\"128273920\", alpha=\"0.10\", expect_size=\"51309568\"] \n  11 -> 27 [size =\"51309568\"]\n  11 -> 30 [size =\"51309568\"]\n  11 -> 33 [size =\"51309568\"]\n  11 -> 35 [size =\"51309568\"]\n  11 -> 36 [size =\"51309568\"]\n  11 -> 40 [size =\"51309568\"]\n  12 [size=\"14968320\", alpha=\"0.11\", expect_size=\"5987328\"] \n  12 -> 27 [size =\"5987328\"]\n  12 -> 29 [size =\"5987328\"]\n  12 -> 30 [size =\"5987328\"]\n  12 -> 31 [size =\"5987328\"]\n  12 -> 34 [size =\"5987328\"]\n  12 -> 35 [size =\"5987328\"]\n  12 -> 36 [size =\"5987328\"]\n  13 [size=\"26478080\", alpha=\"0.12\", expect_size=\"10591232\"] \n  13 -> 27 [size =\"10591232\"]\n  13 -> 30 [size =\"10591232\"]\n  13 -> 33 [size =\"10591232\"]\n  13 -> 34 [size =\"10591232\"]\n  13 -> 34 [size =\"10591232\"]\n  13 -> 35 [size =\"10591232\"]\n  13 -> 37 [size =\"10591232\"]\n  13 -> 38 [size =\"10591232\"]\n  14 [size=\"62417920\", alpha=\"0.09\", expect_size=\"24967168\"] \n  14 -> 27 [size =\"24967168\"]\n  14 -> 28 [size =\"24967168\"]\n  14 -> 29 [size =\"24967168\"]\n  14 -> 31 [size =\"24967168\"]\n  14 -> 33 [size =\"24967168\"]\n  14 -> 35 [size =\"24967168\"]\n  14 -> 38 [size =\"24967168\"]\n  14 -> 39 [size =\"24967168\"]\n  15 [size=\"71948800\", alpha=\"0.09\", expect_size=\"28779520\"] \n  15 -> 27 [size =\"28779520\"]\n  15 -> 28 [size =\"28779520\"]\n  15 -> 29 [size =\"28779520\"]\n  15 -> 30 [size =\"28779520\"]\n  15 -> 33 [size =\"28779520\"]\n  15 -> 35 [size =\"28779520\"]\n  15 -> 36 [size =\"28779520\"]\n  15 -> 37 [size =\"28779520\"]\n  15 -> 39 [size =\"28779520\"]\n  15 -> 40 [size =\"28779520\"]\n  16 [size=\"95633920\", alpha=\"0.10\", expect_size=\"38253568\"] \n  16 -> 27 [size =\"38253568\"]\n  16 -> 30 [size =\"38253568\"]\n  16 -> 33 [size =\"38253568\"]\n  16 -> 34 [size =\"38253568\"]\n  16 -> 39 [size =\"38253568\"]\n  16 -> 40 [size =\"38253568\"]\n  17 [size=\"125603840\", alpha=\"0.18\", expect_size=\"50241536\"] \n  17 -> 27 [size =\"50241536\"]\n  17 -> 31 [size =\"50241536\"]\n  18 [size=\"126213120\", alpha=\"0.14\", expect_size=\"50485248\"] \n  18 -> 27 [size =\"50485248\"]\n  18 -> 32 [size =\"50485248\"]\n  18 -> 36 [size =\"50485248\"]\n  18 -> 37 [size =\"50485248\"]\n  18 -> 38 [size =\"50485248\"]\n  19 [size=\"77219840\", alpha=\"0.20\", expect_size=\"30887936\"] \n  19 -> 27 [size =\"30887936\"]\n  19 -> 28 [size =\"30887936\"]\n  19 -> 29 [size =\"30887936\"]\n  19 -> 30 [size =\"30887936\"]\n  19 -> 33 [size =\"30887936\"]\n  19 -> 36 [size =\"30887936\"]\n  20 [size=\"50728960\", alpha=\"0.15\", expect_size=\"20291584\"] \n  20 -> 27 [size =\"20291584\"]\n  20 -> 30 [size =\"20291584\"]\n  20 -> 32 [size =\"20291584\"]\n  20 -> 33 [size =\"20291584\"]\n  20 -> 34 [size =\"20291584\"]\n  20 -> 36 [size =\"20291584\"]\n  20 -> 39 [size =\"20291584\"]\n  20 -> 40 [size =\"20291584\"]\n  21 [size=\"71047680\", alpha=\"0.02\", expect_size=\"28419072\"] \n  21 -> 27 [size =\"28419072\"]\n  21 -> 29 [size =\"28419072\"]\n  21 -> 30 [size =\"28419072\"]\n  21 -> 31 [size =\"28419072\"]\n  21 -> 32 [size =\"28419072\"]\n  21 -> 34 [size =\"28419072\"]\n  21 -> 36 [size =\"28419072\"]\n  21 -> 38 [size =\"28419072\"]\n  21 -> 39 [size =\"28419072\"]\n  22 [size=\"127260160\", alpha=\"0.12\", expect_size=\"50904064\"] \n  22 -> 27 [size =\"50904064\"]\n  22 -> 30 [size =\"50904064\"]\n  22 -> 31 [size =\"50904064\"]\n  22 -> 33 [size =\"50904064\"]\n  22 -> 34 [size =\"50904064\"]\n  22 -> 36 [size =\"50904064\"]\n  22 -> 39 [size =\"50904064\"]\n  23 [size=\"74024960\", alpha=\"0.04\", expect_size=\"29609984\"] \n  23 -> 27 [size =\"29609984\"]\n  23 -> 30 [size =\"29609984\"]\n  23 -> 31 [size =\"29609984\"]\n  23 -> 35 [size =\"29609984\"]\n  23 -> 36 [size =\"29609984\"]\n  23 -> 40 [size =\"29609984\"]\n  24 [size=\"27540480\", alpha=\"0.00\", expect_size=\"11016192\"] \n  24 -> 28 [size =\"11016192\"]\n  24 -> 30 [size =\"11016192\"]\n  24 -> 31 [size =\"11016192\"]\n  24 -> 33 [size =\"11016192\"]\n  24 -> 34 [size =\"11016192\"]\n  24 -> 39 [size =\"11016192\"]\n  24 -> 40 [size =\"11016192\"]\n  25 [size=\"80650240\", alpha=\"0.16\", expect_size=\"32260096\"] \n  25 -> 30 [size =\"32260096\"]\n  25 -> 30 [size =\"32260096\"]\n  25 -> 31 [size =\"32260096\"]\n  25 -> 34 [size =\"32260096\"]\n  25 -> 39 [size =\"32260096\"]\n  25 -> 39 [size =\"32260096\"]\n  26 [size=\"18539520\", alpha=\"0.17\", expect_size=\"7415808\"] \n  26 -> 27 [size =\"7415808\"]\n  26 -> 28 [size =\"7415808\"]\n  26 -> 30 [size =\"7415808\"]\n  26 -> 40 [size =\"7415808\"]\n  27 [size=\"76651520\", alpha=\"0.07\", expect_size=\"30660608\"] \n  28 [size=\"65254400\", alpha=\"0.19\", expect_size=\"26101760\"] \n  29 [size=\"27686400\", alpha=\"0.07\", expect_size=\"11074560\"] \n  30 [size=\"26723840\", alpha=\"0.19\", expect_size=\"10689536\"] \n  31 [size=\"115914240\", alpha=\"0.11\", expect_size=\"46365696\"] \n  32 [size=\"129474560\", alpha=\"0.03\", expect_size=\"51789824\"] \n  33 [size=\"80378880\", alpha=\"0.17\", expect_size=\"32151552\"] \n  34 [size=\"101429760\", alpha=\"0.20\", expect_size=\"40571904\"] \n  35 [size=\"103014400\", alpha=\"0.12\", expect_size=\"41205760\"] \n  36 [size=\"76564480\", alpha=\"0.19\", expect_size=\"30625792\"] \n  37 [size=\"56332800\", alpha=\"0.05\", expect_size=\"22533120\"] \n  38 [size=\"95311360\", alpha=\"0.10\", expect_size=\"38124544\"] \n  39 [size=\"91560960\", alpha=\"0.05\", expect_size=\"36624384\"] \n  40 [size=\"16020480\", alpha=\"0.07\", expect_size=\"6408192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79142400\", alpha=\"0.02\", expect_size=\"31656960\"] \n  1 -> 2 [size =\"31656960\"]\n  2 [size=\"97072640\", alpha=\"0.10\", expect_size=\"38829056\"] \n  2 -> 3 [size =\"38829056\"]\n  3 [size=\"91033600\", alpha=\"0.06\", expect_size=\"36413440\"] \n  3 -> 4 [size =\"36413440\"]\n  4 [size=\"21826560\", alpha=\"0.18\", expect_size=\"8730624\"] \n  4 -> 5 [size =\"8730624\"]\n  5 [size=\"25213440\", alpha=\"0.16\", expect_size=\"10085376\"] \n  5 -> 6 [size =\"10085376\"]\n  6 [size=\"113551360\", alpha=\"0.20\", expect_size=\"45420544\"] \n  6 -> 7 [size =\"45420544\"]\n  7 [size=\"79946240\", alpha=\"0.17\", expect_size=\"31978496\"] \n  7 -> 8 [size =\"31978496\"]\n  8 [size=\"81454080\", alpha=\"0.16\", expect_size=\"32581632\"] \n  8 -> 9 [size =\"32581632\"]\n  9 [size=\"47918080\", alpha=\"0.03\", expect_size=\"19167232\"] \n  9 -> 10 [size =\"19167232\"]\n  10 [size=\"79872000\", alpha=\"0.13\", expect_size=\"31948800\"] \n  10 -> 11 [size =\"31948800\"]\n  11 [size=\"22254080\", alpha=\"0.01\", expect_size=\"8901632\"] \n  11 -> 12 [size =\"8901632\"]\n  12 [size=\"31728640\", alpha=\"0.02\", expect_size=\"12691456\"] \n  12 -> 13 [size =\"12691456\"]\n  13 [size=\"90247680\", alpha=\"0.14\", expect_size=\"36099072\"] \n  13 -> 14 [size =\"36099072\"]\n  14 [size=\"128107520\", alpha=\"0.18\", expect_size=\"51243008\"] \n  14 -> 15 [size =\"51243008\"]\n  15 [size=\"118855680\", alpha=\"0.01\", expect_size=\"47542272\"] \n  15 -> 16 [size =\"47542272\"]\n  16 [size=\"96120320\", alpha=\"0.14\", expect_size=\"38448128\"] \n  16 -> 17 [size =\"38448128\"]\n  17 [size=\"94830080\", alpha=\"0.17\", expect_size=\"37932032\"] \n  17 -> 18 [size =\"37932032\"]\n  18 [size=\"76264960\", alpha=\"0.11\", expect_size=\"30505984\"] \n  18 -> 19 [size =\"30505984\"]\n  19 [size=\"50759680\", alpha=\"0.06\", expect_size=\"20303872\"] \n  19 -> 20 [size =\"20303872\"]\n  20 [size=\"66570240\", alpha=\"0.18\", expect_size=\"26628096\"] \n  20 -> 21 [size =\"26628096\"]\n  21 [size=\"28080640\", alpha=\"0.01\", expect_size=\"11232256\"] \n  21 -> 22 [size =\"11232256\"]\n  22 [size=\"32701440\", alpha=\"0.18\", expect_size=\"13080576\"] \n  22 -> 23 [size =\"13080576\"]\n  23 [size=\"43514880\", alpha=\"0.08\", expect_size=\"17405952\"] \n  23 -> 24 [size =\"17405952\"]\n  24 [size=\"127436800\", alpha=\"0.20\", expect_size=\"50974720\"] \n  24 -> 25 [size =\"50974720\"]\n  25 [size=\"117189120\", alpha=\"0.13\", expect_size=\"46875648\"] \n  25 -> 26 [size =\"46875648\"]\n  26 [size=\"120819200\", alpha=\"0.04\", expect_size=\"48327680\"] \n  26 -> 27 [size =\"48327680\"]\n  27 [size=\"85232640\", alpha=\"0.06\", expect_size=\"34093056\"] \n  27 -> 28 [size =\"34093056\"]\n  28 [size=\"65725440\", alpha=\"0.00\", expect_size=\"26290176\"] \n  28 -> 29 [size =\"26290176\"]\n  29 [size=\"13271040\", alpha=\"0.20\", expect_size=\"5308416\"] \n  29 -> 30 [size =\"5308416\"]\n  30 [size=\"49564160\", alpha=\"0.11\", expect_size=\"19825664\"] \n  30 -> 31 [size =\"19825664\"]\n  31 [size=\"36480000\", alpha=\"0.03\", expect_size=\"14592000\"] \n  31 -> 32 [size =\"14592000\"]\n  32 [size=\"40056320\", alpha=\"0.19\", expect_size=\"16022528\"] \n  32 -> 33 [size =\"16022528\"]\n  33 [size=\"26291200\", alpha=\"0.08\", expect_size=\"10516480\"] \n  33 -> 34 [size =\"10516480\"]\n  34 [size=\"73113600\", alpha=\"0.16\", expect_size=\"29245440\"] \n  34 -> 35 [size =\"29245440\"]\n  35 [size=\"71280640\", alpha=\"0.02\", expect_size=\"28512256\"] \n  35 -> 36 [size =\"28512256\"]\n  36 [size=\"32901120\", alpha=\"0.03\", expect_size=\"13160448\"] \n  36 -> 37 [size =\"13160448\"]\n  37 [size=\"58416640\", alpha=\"0.17\", expect_size=\"23366656\"] \n  37 -> 38 [size =\"23366656\"]\n  38 [size=\"96709120\", alpha=\"0.02\", expect_size=\"38683648\"] \n  38 -> 39 [size =\"38683648\"]\n  39 [size=\"98155520\", alpha=\"0.13\", expect_size=\"39262208\"] \n  39 -> 40 [size =\"39262208\"]\n  40 [size=\"97571840\", alpha=\"0.13\", expect_size=\"39028736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49456640\", alpha=\"0.16\", expect_size=\"19782656\"] \n  1 -> 33 [size =\"19782656\"]\n  1 -> 34 [size =\"19782656\"]\n  1 -> 36 [size =\"19782656\"]\n  2 [size=\"71705600\", alpha=\"0.06\", expect_size=\"28682240\"] \n  2 -> 33 [size =\"28682240\"]\n  2 -> 36 [size =\"28682240\"]\n  2 -> 37 [size =\"28682240\"]\n  3 [size=\"113569280\", alpha=\"0.17\", expect_size=\"45427712\"] \n  3 -> 34 [size =\"45427712\"]\n  3 -> 35 [size =\"45427712\"]\n  3 -> 38 [size =\"45427712\"]\n  4 [size=\"59412480\", alpha=\"0.16\", expect_size=\"23764992\"] \n  4 -> 33 [size =\"23764992\"]\n  4 -> 36 [size =\"23764992\"]\n  4 -> 39 [size =\"23764992\"]\n  5 [size=\"119162880\", alpha=\"0.19\", expect_size=\"47665152\"] \n  5 -> 35 [size =\"47665152\"]\n  6 [size=\"54827520\", alpha=\"0.18\", expect_size=\"21931008\"] \n  6 -> 34 [size =\"21931008\"]\n  6 -> 35 [size =\"21931008\"]\n  7 [size=\"42109440\", alpha=\"0.17\", expect_size=\"16843776\"] \n  7 -> 35 [size =\"16843776\"]\n  7 -> 40 [size =\"16843776\"]\n  8 [size=\"28300800\", alpha=\"0.00\", expect_size=\"11320320\"] \n  8 -> 39 [size =\"11320320\"]\n  8 -> 40 [size =\"11320320\"]\n  9 [size=\"25216000\", alpha=\"0.13\", expect_size=\"10086400\"] \n  9 -> 34 [size =\"10086400\"]\n  9 -> 38 [size =\"10086400\"]\n  10 [size=\"129090560\", alpha=\"0.10\", expect_size=\"51636224\"] \n  10 -> 37 [size =\"51636224\"]\n  10 -> 38 [size =\"51636224\"]\n  10 -> 40 [size =\"51636224\"]\n  11 [size=\"60037120\", alpha=\"0.12\", expect_size=\"24014848\"] \n  11 -> 34 [size =\"24014848\"]\n  12 [size=\"33879040\", alpha=\"0.12\", expect_size=\"13551616\"] \n  12 -> 33 [size =\"13551616\"]\n  12 -> 34 [size =\"13551616\"]\n  12 -> 37 [size =\"13551616\"]\n  12 -> 38 [size =\"13551616\"]\n  12 -> 40 [size =\"13551616\"]\n  13 [size=\"67018240\", alpha=\"0.10\", expect_size=\"26807296\"] \n  13 -> 35 [size =\"26807296\"]\n  13 -> 38 [size =\"26807296\"]\n  13 -> 39 [size =\"26807296\"]\n  14 [size=\"48916480\", alpha=\"0.09\", expect_size=\"19566592\"] \n  14 -> 35 [size =\"19566592\"]\n  14 -> 37 [size =\"19566592\"]\n  14 -> 38 [size =\"19566592\"]\n  15 [size=\"24481280\", alpha=\"0.07\", expect_size=\"9792512\"] \n  15 -> 33 [size =\"9792512\"]\n  15 -> 35 [size =\"9792512\"]\n  16 [size=\"16622080\", alpha=\"0.13\", expect_size=\"6648832\"] \n  16 -> 35 [size =\"6648832\"]\n  16 -> 40 [size =\"6648832\"]\n  17 [size=\"123868160\", alpha=\"0.15\", expect_size=\"49547264\"] \n  17 -> 33 [size =\"49547264\"]\n  18 [size=\"103334400\", alpha=\"0.20\", expect_size=\"41333760\"] \n  18 -> 35 [size =\"41333760\"]\n  18 -> 37 [size =\"41333760\"]\n  19 [size=\"104947200\", alpha=\"0.02\", expect_size=\"41978880\"] \n  19 -> 36 [size =\"41978880\"]\n  19 -> 37 [size =\"41978880\"]\n  20 [size=\"64837120\", alpha=\"0.17\", expect_size=\"25934848\"] \n  20 -> 33 [size =\"25934848\"]\n  21 [size=\"123051520\", alpha=\"0.18\", expect_size=\"49220608\"] \n  21 -> 33 [size =\"49220608\"]\n  21 -> 37 [size =\"49220608\"]\n  22 [size=\"73738240\", alpha=\"0.09\", expect_size=\"29495296\"] \n  22 -> 38 [size =\"29495296\"]\n  23 [size=\"26885120\", alpha=\"0.17\", expect_size=\"10754048\"] \n  23 -> 38 [size =\"10754048\"]\n  23 -> 40 [size =\"10754048\"]\n  24 [size=\"86361600\", alpha=\"0.13\", expect_size=\"34544640\"] \n  24 -> 39 [size =\"34544640\"]\n  24 -> 40 [size =\"34544640\"]\n  25 [size=\"22691840\", alpha=\"0.07\", expect_size=\"9076736\"] \n  25 -> 33 [size =\"9076736\"]\n  25 -> 39 [size =\"9076736\"]\n  25 -> 40 [size =\"9076736\"]\n  26 [size=\"61606400\", alpha=\"0.08\", expect_size=\"24642560\"] \n  26 -> 33 [size =\"24642560\"]\n  26 -> 34 [size =\"24642560\"]\n  26 -> 35 [size =\"24642560\"]\n  27 [size=\"18114560\", alpha=\"0.14\", expect_size=\"7245824\"] \n  27 -> 33 [size =\"7245824\"]\n  27 -> 34 [size =\"7245824\"]\n  27 -> 36 [size =\"7245824\"]\n  27 -> 40 [size =\"7245824\"]\n  28 [size=\"108984320\", alpha=\"0.02\", expect_size=\"43593728\"] \n  28 -> 33 [size =\"43593728\"]\n  28 -> 38 [size =\"43593728\"]\n  29 [size=\"106654720\", alpha=\"0.13\", expect_size=\"42661888\"] \n  29 -> 33 [size =\"42661888\"]\n  29 -> 37 [size =\"42661888\"]\n  29 -> 38 [size =\"42661888\"]\n  30 [size=\"117073920\", alpha=\"0.03\", expect_size=\"46829568\"] \n  30 -> 38 [size =\"46829568\"]\n  30 -> 39 [size =\"46829568\"]\n  30 -> 40 [size =\"46829568\"]\n  31 [size=\"97623040\", alpha=\"0.01\", expect_size=\"39049216\"] \n  31 -> 35 [size =\"39049216\"]\n  31 -> 38 [size =\"39049216\"]\n  32 [size=\"84651520\", alpha=\"0.03\", expect_size=\"33860608\"] \n  32 -> 33 [size =\"33860608\"]\n  32 -> 35 [size =\"33860608\"]\n  32 -> 36 [size =\"33860608\"]\n  32 -> 38 [size =\"33860608\"]\n  32 -> 40 [size =\"33860608\"]\n  33 [size=\"18795520\", alpha=\"0.13\", expect_size=\"7518208\"] \n  34 [size=\"118481920\", alpha=\"0.10\", expect_size=\"47392768\"] \n  35 [size=\"76124160\", alpha=\"0.09\", expect_size=\"30449664\"] \n  36 [size=\"115742720\", alpha=\"0.08\", expect_size=\"46297088\"] \n  37 [size=\"43130880\", alpha=\"0.07\", expect_size=\"17252352\"] \n  38 [size=\"123220480\", alpha=\"0.00\", expect_size=\"49288192\"] \n  39 [size=\"17313280\", alpha=\"0.09\", expect_size=\"6925312\"] \n  40 [size=\"91412480\", alpha=\"0.07\", expect_size=\"36564992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75455147\", alpha=\"0.11\", expect_size=\"22636544\"] \n  1 -> 6 [size =\"22636544\"]\n  1 -> 8 [size =\"22636544\"]\n  1 -> 9 [size =\"22636544\"]\n  1 -> 10 [size =\"22636544\"]\n  2 [size=\"74509653\", alpha=\"0.15\", expect_size=\"22352896\"] \n  2 -> 6 [size =\"22352896\"]\n  2 -> 10 [size =\"22352896\"]\n  3 [size=\"157917867\", alpha=\"0.16\", expect_size=\"47375360\"] \n  3 -> 6 [size =\"47375360\"]\n  3 -> 7 [size =\"47375360\"]\n  3 -> 9 [size =\"47375360\"]\n  4 [size=\"142103893\", alpha=\"0.14\", expect_size=\"42631168\"] \n  4 -> 7 [size =\"42631168\"]\n  4 -> 9 [size =\"42631168\"]\n  4 -> 11 [size =\"42631168\"]\n  5 [size=\"53282133\", alpha=\"0.05\", expect_size=\"15984640\"] \n  5 -> 6 [size =\"15984640\"]\n  5 -> 11 [size =\"15984640\"]\n  6 [size=\"52916907\", alpha=\"0.03\", expect_size=\"15875072\"] \n  6 -> 13 [size =\"15875072\"]\n  6 -> 14 [size =\"15875072\"]\n  6 -> 17 [size =\"15875072\"]\n  7 [size=\"169205760\", alpha=\"0.20\", expect_size=\"50761728\"] \n  8 [size=\"70294187\", alpha=\"0.09\", expect_size=\"21088256\"] \n  8 -> 14 [size =\"21088256\"]\n  8 -> 16 [size =\"21088256\"]\n  9 [size=\"77875200\", alpha=\"0.08\", expect_size=\"23362560\"] \n  9 -> 12 [size =\"23362560\"]\n  9 -> 13 [size =\"23362560\"]\n  9 -> 14 [size =\"23362560\"]\n  9 -> 16 [size =\"23362560\"]\n  10 [size=\"34819413\", alpha=\"0.06\", expect_size=\"10445824\"] \n  10 -> 12 [size =\"10445824\"]\n  10 -> 13 [size =\"10445824\"]\n  10 -> 15 [size =\"10445824\"]\n  11 [size=\"151203840\", alpha=\"0.06\", expect_size=\"45361152\"] \n  11 -> 12 [size =\"45361152\"]\n  11 -> 14 [size =\"45361152\"]\n  11 -> 15 [size =\"45361152\"]\n  12 [size=\"83131733\", alpha=\"0.10\", expect_size=\"24939520\"] \n  12 -> 18 [size =\"24939520\"]\n  12 -> 23 [size =\"24939520\"]\n  13 [size=\"44523520\", alpha=\"0.17\", expect_size=\"13357056\"] \n  13 -> 19 [size =\"13357056\"]\n  13 -> 22 [size =\"13357056\"]\n  14 [size=\"167830187\", alpha=\"0.15\", expect_size=\"50349056\"] \n  14 -> 18 [size =\"50349056\"]\n  14 -> 19 [size =\"50349056\"]\n  14 -> 20 [size =\"50349056\"]\n  14 -> 22 [size =\"50349056\"]\n  14 -> 23 [size =\"50349056\"]\n  15 [size=\"117838507\", alpha=\"0.03\", expect_size=\"35351552\"] \n  15 -> 20 [size =\"35351552\"]\n  15 -> 22 [size =\"35351552\"]\n  15 -> 23 [size =\"35351552\"]\n  16 [size=\"155709440\", alpha=\"0.10\", expect_size=\"46712832\"] \n  16 -> 21 [size =\"46712832\"]\n  16 -> 22 [size =\"46712832\"]\n  17 [size=\"23790933\", alpha=\"0.00\", expect_size=\"7137280\"] \n  17 -> 23 [size =\"7137280\"]\n  18 [size=\"22200320\", alpha=\"0.02\", expect_size=\"6660096\"] \n  18 -> 24 [size =\"6660096\"]\n  18 -> 25 [size =\"6660096\"]\n  18 -> 26 [size =\"6660096\"]\n  18 -> 28 [size =\"6660096\"]\n  18 -> 29 [size =\"6660096\"]\n  19 [size=\"95815680\", alpha=\"0.19\", expect_size=\"28744704\"] \n  19 -> 24 [size =\"28744704\"]\n  19 -> 25 [size =\"28744704\"]\n  19 -> 27 [size =\"28744704\"]\n  20 [size=\"155514880\", alpha=\"0.09\", expect_size=\"46654464\"] \n  20 -> 24 [size =\"46654464\"]\n  20 -> 29 [size =\"46654464\"]\n  21 [size=\"47882240\", alpha=\"0.06\", expect_size=\"14364672\"] \n  21 -> 24 [size =\"14364672\"]\n  21 -> 27 [size =\"14364672\"]\n  21 -> 28 [size =\"14364672\"]\n  22 [size=\"91245227\", alpha=\"0.10\", expect_size=\"27373568\"] \n  22 -> 25 [size =\"27373568\"]\n  22 -> 28 [size =\"27373568\"]\n  22 -> 29 [size =\"27373568\"]\n  23 [size=\"168157867\", alpha=\"0.13\", expect_size=\"50447360\"] \n  23 -> 24 [size =\"50447360\"]\n  23 -> 26 [size =\"50447360\"]\n  23 -> 27 [size =\"50447360\"]\n  24 [size=\"147353600\", alpha=\"0.11\", expect_size=\"44206080\"] \n  24 -> 32 [size =\"44206080\"]\n  24 -> 33 [size =\"44206080\"]\n  24 -> 35 [size =\"44206080\"]\n  25 [size=\"107366400\", alpha=\"0.13\", expect_size=\"32209920\"] \n  25 -> 30 [size =\"32209920\"]\n  25 -> 32 [size =\"32209920\"]\n  25 -> 33 [size =\"32209920\"]\n  26 [size=\"128040960\", alpha=\"0.00\", expect_size=\"38412288\"] \n  26 -> 31 [size =\"38412288\"]\n  26 -> 33 [size =\"38412288\"]\n  26 -> 34 [size =\"38412288\"]\n  27 [size=\"48882347\", alpha=\"0.07\", expect_size=\"14664704\"] \n  27 -> 35 [size =\"14664704\"]\n  28 [size=\"50786987\", alpha=\"0.20\", expect_size=\"15236096\"] \n  28 -> 30 [size =\"15236096\"]\n  28 -> 35 [size =\"15236096\"]\n  29 [size=\"68853760\", alpha=\"0.01\", expect_size=\"20656128\"] \n  29 -> 32 [size =\"20656128\"]\n  29 -> 33 [size =\"20656128\"]\n  29 -> 35 [size =\"20656128\"]\n  30 [size=\"62061227\", alpha=\"0.04\", expect_size=\"18618368\"] \n  30 -> 39 [size =\"18618368\"]\n  30 -> 40 [size =\"18618368\"]\n  31 [size=\"131764907\", alpha=\"0.04\", expect_size=\"39529472\"] \n  31 -> 37 [size =\"39529472\"]\n  31 -> 38 [size =\"39529472\"]\n  31 -> 39 [size =\"39529472\"]\n  32 [size=\"21370880\", alpha=\"0.12\", expect_size=\"6411264\"] \n  32 -> 36 [size =\"6411264\"]\n  32 -> 38 [size =\"6411264\"]\n  32 -> 39 [size =\"6411264\"]\n  32 -> 40 [size =\"6411264\"]\n  33 [size=\"102488747\", alpha=\"0.04\", expect_size=\"30746624\"] \n  33 -> 37 [size =\"30746624\"]\n  34 [size=\"43704320\", alpha=\"0.15\", expect_size=\"13111296\"] \n  34 -> 38 [size =\"13111296\"]\n  35 [size=\"126931627\", alpha=\"0.18\", expect_size=\"38079488\"] \n  35 -> 36 [size =\"38079488\"]\n  35 -> 37 [size =\"38079488\"]\n  35 -> 38 [size =\"38079488\"]\n  36 [size=\"73403733\", alpha=\"0.20\", expect_size=\"22021120\"] \n  37 [size=\"75854507\", alpha=\"0.02\", expect_size=\"22756352\"] \n  38 [size=\"128720213\", alpha=\"0.04\", expect_size=\"38616064\"] \n  39 [size=\"127542613\", alpha=\"0.17\", expect_size=\"38262784\"] \n  40 [size=\"132713813\", alpha=\"0.07\", expect_size=\"39814144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29040640\", alpha=\"0.08\", expect_size=\"8712192\"] \n  1 -> 12 [size =\"8712192\"]\n  2 [size=\"102427307\", alpha=\"0.20\", expect_size=\"30728192\"] \n  2 -> 7 [size =\"30728192\"]\n  2 -> 9 [size =\"30728192\"]\n  2 -> 10 [size =\"30728192\"]\n  2 -> 12 [size =\"30728192\"]\n  3 [size=\"153610240\", alpha=\"0.03\", expect_size=\"46083072\"] \n  3 -> 7 [size =\"46083072\"]\n  3 -> 8 [size =\"46083072\"]\n  3 -> 9 [size =\"46083072\"]\n  4 [size=\"160740693\", alpha=\"0.11\", expect_size=\"48222208\"] \n  4 -> 9 [size =\"48222208\"]\n  5 [size=\"23060480\", alpha=\"0.03\", expect_size=\"6918144\"] \n  5 -> 11 [size =\"6918144\"]\n  6 [size=\"35338240\", alpha=\"0.09\", expect_size=\"10601472\"] \n  7 [size=\"87009280\", alpha=\"0.01\", expect_size=\"26102784\"] \n  7 -> 14 [size =\"26102784\"]\n  7 -> 18 [size =\"26102784\"]\n  8 [size=\"55067307\", alpha=\"0.16\", expect_size=\"16520192\"] \n  8 -> 14 [size =\"16520192\"]\n  8 -> 17 [size =\"16520192\"]\n  9 [size=\"144240640\", alpha=\"0.03\", expect_size=\"43272192\"] \n  9 -> 13 [size =\"43272192\"]\n  9 -> 14 [size =\"43272192\"]\n  9 -> 17 [size =\"43272192\"]\n  10 [size=\"67860480\", alpha=\"0.13\", expect_size=\"20358144\"] \n  10 -> 15 [size =\"20358144\"]\n  10 -> 17 [size =\"20358144\"]\n  11 [size=\"140369920\", alpha=\"0.17\", expect_size=\"42110976\"] \n  11 -> 18 [size =\"42110976\"]\n  12 [size=\"43533653\", alpha=\"0.09\", expect_size=\"13060096\"] \n  12 -> 16 [size =\"13060096\"]\n  12 -> 18 [size =\"13060096\"]\n  13 [size=\"43506347\", alpha=\"0.13\", expect_size=\"13051904\"] \n  14 [size=\"68614827\", alpha=\"0.14\", expect_size=\"20584448\"] \n  14 -> 19 [size =\"20584448\"]\n  14 -> 20 [size =\"20584448\"]\n  14 -> 21 [size =\"20584448\"]\n  15 [size=\"156105387\", alpha=\"0.11\", expect_size=\"46831616\"] \n  15 -> 19 [size =\"46831616\"]\n  15 -> 20 [size =\"46831616\"]\n  15 -> 22 [size =\"46831616\"]\n  16 [size=\"20350293\", alpha=\"0.14\", expect_size=\"6105088\"] \n  16 -> 21 [size =\"6105088\"]\n  16 -> 23 [size =\"6105088\"]\n  17 [size=\"88053760\", alpha=\"0.12\", expect_size=\"26416128\"] \n  17 -> 20 [size =\"26416128\"]\n  17 -> 21 [size =\"26416128\"]\n  17 -> 22 [size =\"26416128\"]\n  18 [size=\"92692480\", alpha=\"0.06\", expect_size=\"27807744\"] \n  18 -> 19 [size =\"27807744\"]\n  18 -> 23 [size =\"27807744\"]\n  19 [size=\"60627627\", alpha=\"0.10\", expect_size=\"18188288\"] \n  19 -> 24 [size =\"18188288\"]\n  19 -> 26 [size =\"18188288\"]\n  20 [size=\"86528000\", alpha=\"0.03\", expect_size=\"25958400\"] \n  20 -> 26 [size =\"25958400\"]\n  20 -> 28 [size =\"25958400\"]\n  20 -> 29 [size =\"25958400\"]\n  21 [size=\"28190720\", alpha=\"0.16\", expect_size=\"8457216\"] \n  21 -> 25 [size =\"8457216\"]\n  21 -> 27 [size =\"8457216\"]\n  21 -> 29 [size =\"8457216\"]\n  22 [size=\"164802560\", alpha=\"0.01\", expect_size=\"49440768\"] \n  22 -> 24 [size =\"49440768\"]\n  22 -> 29 [size =\"49440768\"]\n  23 [size=\"75025067\", alpha=\"0.02\", expect_size=\"22507520\"] \n  23 -> 24 [size =\"22507520\"]\n  23 -> 27 [size =\"22507520\"]\n  24 [size=\"17872213\", alpha=\"0.02\", expect_size=\"5361664\"] \n  24 -> 30 [size =\"5361664\"]\n  24 -> 34 [size =\"5361664\"]\n  25 [size=\"129590613\", alpha=\"0.03\", expect_size=\"38877184\"] \n  25 -> 34 [size =\"38877184\"]\n  26 [size=\"61265920\", alpha=\"0.06\", expect_size=\"18379776\"] \n  26 -> 31 [size =\"18379776\"]\n  26 -> 34 [size =\"18379776\"]\n  27 [size=\"170321920\", alpha=\"0.18\", expect_size=\"51096576\"] \n  27 -> 31 [size =\"51096576\"]\n  27 -> 32 [size =\"51096576\"]\n  27 -> 33 [size =\"51096576\"]\n  28 [size=\"104717653\", alpha=\"0.14\", expect_size=\"31415296\"] \n  28 -> 31 [size =\"31415296\"]\n  29 [size=\"150838613\", alpha=\"0.07\", expect_size=\"45251584\"] \n  29 -> 30 [size =\"45251584\"]\n  30 [size=\"75683840\", alpha=\"0.06\", expect_size=\"22705152\"] \n  30 -> 37 [size =\"22705152\"]\n  31 [size=\"96296960\", alpha=\"0.01\", expect_size=\"28889088\"] \n  31 -> 38 [size =\"28889088\"]\n  31 -> 39 [size =\"28889088\"]\n  32 [size=\"66962773\", alpha=\"0.19\", expect_size=\"20088832\"] \n  32 -> 35 [size =\"20088832\"]\n  32 -> 39 [size =\"20088832\"]\n  33 [size=\"72628907\", alpha=\"0.00\", expect_size=\"21788672\"] \n  33 -> 36 [size =\"21788672\"]\n  34 [size=\"92149760\", alpha=\"0.08\", expect_size=\"27644928\"] \n  34 -> 36 [size =\"27644928\"]\n  34 -> 37 [size =\"27644928\"]\n  35 [size=\"111506773\", alpha=\"0.14\", expect_size=\"33452032\"] \n  36 [size=\"136284160\", alpha=\"0.20\", expect_size=\"40885248\"] \n  37 [size=\"27060907\", alpha=\"0.14\", expect_size=\"8118272\"] \n  37 -> 40 [size =\"8118272\"]\n  38 [size=\"167942827\", alpha=\"0.19\", expect_size=\"50382848\"] \n  38 -> 40 [size =\"50382848\"]\n  39 [size=\"124665173\", alpha=\"0.09\", expect_size=\"37399552\"] \n  40 [size=\"23992320\", alpha=\"0.07\", expect_size=\"7197696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110579200\", alpha=\"0.05\", expect_size=\"44231680\"] \n  1 -> 5 [size =\"44231680\"]\n  2 [size=\"22351360\", alpha=\"0.05\", expect_size=\"8940544\"] \n  2 -> 5 [size =\"8940544\"]\n  2 -> 7 [size =\"8940544\"]\n  3 [size=\"113507840\", alpha=\"0.19\", expect_size=\"45403136\"] \n  3 -> 4 [size =\"45403136\"]\n  3 -> 6 [size =\"45403136\"]\n  3 -> 7 [size =\"45403136\"]\n  4 [size=\"43852800\", alpha=\"0.04\", expect_size=\"17541120\"] \n  4 -> 8 [size =\"17541120\"]\n  4 -> 11 [size =\"17541120\"]\n  5 [size=\"59886080\", alpha=\"0.06\", expect_size=\"23954432\"] \n  5 -> 8 [size =\"23954432\"]\n  5 -> 9 [size =\"23954432\"]\n  5 -> 10 [size =\"23954432\"]\n  6 [size=\"119495680\", alpha=\"0.05\", expect_size=\"47798272\"] \n  6 -> 10 [size =\"47798272\"]\n  7 [size=\"109806080\", alpha=\"0.15\", expect_size=\"43922432\"] \n  7 -> 11 [size =\"43922432\"]\n  8 [size=\"43624960\", alpha=\"0.19\", expect_size=\"17449984\"] \n  8 -> 13 [size =\"17449984\"]\n  9 [size=\"55690240\", alpha=\"0.09\", expect_size=\"22276096\"] \n  10 [size=\"76810240\", alpha=\"0.17\", expect_size=\"30724096\"] \n  11 [size=\"59553280\", alpha=\"0.04\", expect_size=\"23821312\"] \n  11 -> 12 [size =\"23821312\"]\n  12 [size=\"91018240\", alpha=\"0.08\", expect_size=\"36407296\"] \n  12 -> 14 [size =\"36407296\"]\n  12 -> 15 [size =\"36407296\"]\n  13 [size=\"119912960\", alpha=\"0.11\", expect_size=\"47965184\"] \n  14 [size=\"114393600\", alpha=\"0.14\", expect_size=\"45757440\"] \n  14 -> 16 [size =\"45757440\"]\n  15 [size=\"18595840\", alpha=\"0.01\", expect_size=\"7438336\"] \n  15 -> 17 [size =\"7438336\"]\n  16 [size=\"53007360\", alpha=\"0.03\", expect_size=\"21202944\"] \n  16 -> 19 [size =\"21202944\"]\n  16 -> 20 [size =\"21202944\"]\n  17 [size=\"84953600\", alpha=\"0.10\", expect_size=\"33981440\"] \n  17 -> 18 [size =\"33981440\"]\n  18 [size=\"54766080\", alpha=\"0.11\", expect_size=\"21906432\"] \n  18 -> 22 [size =\"21906432\"]\n  19 [size=\"49512960\", alpha=\"0.07\", expect_size=\"19805184\"] \n  19 -> 21 [size =\"19805184\"]\n  20 [size=\"103569920\", alpha=\"0.18\", expect_size=\"41427968\"] \n  20 -> 21 [size =\"41427968\"]\n  21 [size=\"83727360\", alpha=\"0.05\", expect_size=\"33490944\"] \n  21 -> 23 [size =\"33490944\"]\n  22 [size=\"107829760\", alpha=\"0.15\", expect_size=\"43131904\"] \n  22 -> 23 [size =\"43131904\"]\n  23 [size=\"39774720\", alpha=\"0.01\", expect_size=\"15909888\"] \n  23 -> 24 [size =\"15909888\"]\n  23 -> 25 [size =\"15909888\"]\n  23 -> 26 [size =\"15909888\"]\n  24 [size=\"107207680\", alpha=\"0.12\", expect_size=\"42883072\"] \n  24 -> 28 [size =\"42883072\"]\n  24 -> 29 [size =\"42883072\"]\n  25 [size=\"68938240\", alpha=\"0.11\", expect_size=\"27575296\"] \n  25 -> 29 [size =\"27575296\"]\n  26 [size=\"74393600\", alpha=\"0.09\", expect_size=\"29757440\"] \n  26 -> 27 [size =\"29757440\"]\n  26 -> 28 [size =\"29757440\"]\n  27 [size=\"92835840\", alpha=\"0.02\", expect_size=\"37134336\"] \n  27 -> 30 [size =\"37134336\"]\n  28 [size=\"32494080\", alpha=\"0.01\", expect_size=\"12997632\"] \n  28 -> 31 [size =\"12997632\"]\n  29 [size=\"98442240\", alpha=\"0.07\", expect_size=\"39376896\"] \n  30 [size=\"20672000\", alpha=\"0.04\", expect_size=\"8268800\"] \n  30 -> 32 [size =\"8268800\"]\n  30 -> 33 [size =\"8268800\"]\n  30 -> 34 [size =\"8268800\"]\n  31 [size=\"125967360\", alpha=\"0.09\", expect_size=\"50386944\"] \n  31 -> 33 [size =\"50386944\"]\n  31 -> 34 [size =\"50386944\"]\n  32 [size=\"39941120\", alpha=\"0.07\", expect_size=\"15976448\"] \n  32 -> 36 [size =\"15976448\"]\n  33 [size=\"125731840\", alpha=\"0.03\", expect_size=\"50292736\"] \n  33 -> 35 [size =\"50292736\"]\n  34 [size=\"129848320\", alpha=\"0.17\", expect_size=\"51939328\"] \n  34 -> 35 [size =\"51939328\"]\n  34 -> 36 [size =\"51939328\"]\n  35 [size=\"83033600\", alpha=\"0.11\", expect_size=\"33213440\"] \n  35 -> 39 [size =\"33213440\"]\n  35 -> 40 [size =\"33213440\"]\n  36 [size=\"32074240\", alpha=\"0.12\", expect_size=\"12829696\"] \n  36 -> 37 [size =\"12829696\"]\n  36 -> 38 [size =\"12829696\"]\n  36 -> 39 [size =\"12829696\"]\n  37 [size=\"83356160\", alpha=\"0.05\", expect_size=\"33342464\"] \n  38 [size=\"97648640\", alpha=\"0.05\", expect_size=\"39059456\"] \n  39 [size=\"105469440\", alpha=\"0.12\", expect_size=\"42187776\"] \n  40 [size=\"31439360\", alpha=\"0.13\", expect_size=\"12575744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29429760\", alpha=\"0.19\", expect_size=\"11771904\"] \n  2 [size=\"128066560\", alpha=\"0.14\", expect_size=\"51226624\"] \n  2 -> 4 [size =\"51226624\"]\n  3 [size=\"69905920\", alpha=\"0.18\", expect_size=\"27962368\"] \n  3 -> 4 [size =\"27962368\"]\n  3 -> 5 [size =\"27962368\"]\n  4 [size=\"84907520\", alpha=\"0.08\", expect_size=\"33963008\"] \n  4 -> 6 [size =\"33963008\"]\n  4 -> 7 [size =\"33963008\"]\n  5 [size=\"108313600\", alpha=\"0.08\", expect_size=\"43325440\"] \n  5 -> 6 [size =\"43325440\"]\n  5 -> 7 [size =\"43325440\"]\n  5 -> 8 [size =\"43325440\"]\n  6 [size=\"128087040\", alpha=\"0.16\", expect_size=\"51234816\"] \n  6 -> 9 [size =\"51234816\"]\n  6 -> 10 [size =\"51234816\"]\n  7 [size=\"84536320\", alpha=\"0.14\", expect_size=\"33814528\"] \n  7 -> 11 [size =\"33814528\"]\n  8 [size=\"64465920\", alpha=\"0.15\", expect_size=\"25786368\"] \n  8 -> 11 [size =\"25786368\"]\n  9 [size=\"28421120\", alpha=\"0.03\", expect_size=\"11368448\"] \n  9 -> 12 [size =\"11368448\"]\n  9 -> 13 [size =\"11368448\"]\n  9 -> 14 [size =\"11368448\"]\n  10 [size=\"72744960\", alpha=\"0.15\", expect_size=\"29097984\"] \n  10 -> 12 [size =\"29097984\"]\n  11 [size=\"56563200\", alpha=\"0.06\", expect_size=\"22625280\"] \n  12 [size=\"51381760\", alpha=\"0.14\", expect_size=\"20552704\"] \n  12 -> 15 [size =\"20552704\"]\n  12 -> 16 [size =\"20552704\"]\n  12 -> 17 [size =\"20552704\"]\n  13 [size=\"15984640\", alpha=\"0.05\", expect_size=\"6393856\"] \n  14 [size=\"119682560\", alpha=\"0.13\", expect_size=\"47873024\"] \n  14 -> 15 [size =\"47873024\"]\n  14 -> 16 [size =\"47873024\"]\n  15 [size=\"47603200\", alpha=\"0.08\", expect_size=\"19041280\"] \n  15 -> 19 [size =\"19041280\"]\n  15 -> 20 [size =\"19041280\"]\n  16 [size=\"94643200\", alpha=\"0.03\", expect_size=\"37857280\"] \n  16 -> 18 [size =\"37857280\"]\n  17 [size=\"70737920\", alpha=\"0.07\", expect_size=\"28295168\"] \n  17 -> 18 [size =\"28295168\"]\n  17 -> 19 [size =\"28295168\"]\n  18 [size=\"33717760\", alpha=\"0.06\", expect_size=\"13487104\"] \n  18 -> 21 [size =\"13487104\"]\n  18 -> 22 [size =\"13487104\"]\n  19 [size=\"121559040\", alpha=\"0.03\", expect_size=\"48623616\"] \n  20 [size=\"22059520\", alpha=\"0.07\", expect_size=\"8823808\"] \n  20 -> 22 [size =\"8823808\"]\n  21 [size=\"112888320\", alpha=\"0.15\", expect_size=\"45155328\"] \n  21 -> 23 [size =\"45155328\"]\n  21 -> 24 [size =\"45155328\"]\n  21 -> 25 [size =\"45155328\"]\n  22 [size=\"30855680\", alpha=\"0.01\", expect_size=\"12342272\"] \n  22 -> 23 [size =\"12342272\"]\n  22 -> 25 [size =\"12342272\"]\n  23 [size=\"113233920\", alpha=\"0.18\", expect_size=\"45293568\"] \n  23 -> 26 [size =\"45293568\"]\n  24 [size=\"25605120\", alpha=\"0.06\", expect_size=\"10242048\"] \n  24 -> 26 [size =\"10242048\"]\n  24 -> 28 [size =\"10242048\"]\n  25 [size=\"104107520\", alpha=\"0.11\", expect_size=\"41643008\"] \n  25 -> 26 [size =\"41643008\"]\n  25 -> 27 [size =\"41643008\"]\n  25 -> 28 [size =\"41643008\"]\n  26 [size=\"33661440\", alpha=\"0.15\", expect_size=\"13464576\"] \n  26 -> 29 [size =\"13464576\"]\n  27 [size=\"48742400\", alpha=\"0.11\", expect_size=\"19496960\"] \n  28 [size=\"92014080\", alpha=\"0.16\", expect_size=\"36805632\"] \n  28 -> 29 [size =\"36805632\"]\n  28 -> 30 [size =\"36805632\"]\n  29 [size=\"127237120\", alpha=\"0.03\", expect_size=\"50894848\"] \n  29 -> 32 [size =\"50894848\"]\n  30 [size=\"26606080\", alpha=\"0.01\", expect_size=\"10642432\"] \n  30 -> 31 [size =\"10642432\"]\n  31 [size=\"70026240\", alpha=\"0.06\", expect_size=\"28010496\"] \n  31 -> 33 [size =\"28010496\"]\n  31 -> 34 [size =\"28010496\"]\n  32 [size=\"37895680\", alpha=\"0.18\", expect_size=\"15158272\"] \n  33 [size=\"45168640\", alpha=\"0.10\", expect_size=\"18067456\"] \n  33 -> 35 [size =\"18067456\"]\n  33 -> 36 [size =\"18067456\"]\n  33 -> 37 [size =\"18067456\"]\n  34 [size=\"30686720\", alpha=\"0.20\", expect_size=\"12274688\"] \n  34 -> 36 [size =\"12274688\"]\n  34 -> 37 [size =\"12274688\"]\n  35 [size=\"66247680\", alpha=\"0.16\", expect_size=\"26499072\"] \n  35 -> 38 [size =\"26499072\"]\n  36 [size=\"129098240\", alpha=\"0.05\", expect_size=\"51639296\"] \n  36 -> 39 [size =\"51639296\"]\n  36 -> 40 [size =\"51639296\"]\n  37 [size=\"98286080\", alpha=\"0.05\", expect_size=\"39314432\"] \n  37 -> 39 [size =\"39314432\"]\n  38 [size=\"45245440\", alpha=\"0.08\", expect_size=\"18098176\"] \n  39 [size=\"21337600\", alpha=\"0.09\", expect_size=\"8535040\"] \n  40 [size=\"41873920\", alpha=\"0.12\", expect_size=\"16749568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71274496\", alpha=\"0.02\", expect_size=\"35637248\"] \n  1 -> 8 [size =\"35637248\"]\n  1 -> 9 [size =\"35637248\"]\n  1 -> 11 [size =\"35637248\"]\n  1 -> 12 [size =\"35637248\"]\n  1 -> 13 [size =\"35637248\"]\n  1 -> 14 [size =\"35637248\"]\n  2 [size=\"97828864\", alpha=\"0.03\", expect_size=\"48914432\"] \n  2 -> 9 [size =\"48914432\"]\n  2 -> 9 [size =\"48914432\"]\n  2 -> 11 [size =\"48914432\"]\n  2 -> 14 [size =\"48914432\"]\n  3 [size=\"30353408\", alpha=\"0.11\", expect_size=\"15176704\"] \n  3 -> 8 [size =\"15176704\"]\n  3 -> 11 [size =\"15176704\"]\n  3 -> 12 [size =\"15176704\"]\n  3 -> 13 [size =\"15176704\"]\n  3 -> 14 [size =\"15176704\"]\n  4 [size=\"47290368\", alpha=\"0.07\", expect_size=\"23645184\"] \n  4 -> 8 [size =\"23645184\"]\n  4 -> 10 [size =\"23645184\"]\n  4 -> 11 [size =\"23645184\"]\n  4 -> 13 [size =\"23645184\"]\n  4 -> 14 [size =\"23645184\"]\n  5 [size=\"77297664\", alpha=\"0.12\", expect_size=\"38648832\"] \n  5 -> 9 [size =\"38648832\"]\n  5 -> 13 [size =\"38648832\"]\n  6 [size=\"53231616\", alpha=\"0.11\", expect_size=\"26615808\"] \n  6 -> 9 [size =\"26615808\"]\n  6 -> 13 [size =\"26615808\"]\n  6 -> 14 [size =\"26615808\"]\n  7 [size=\"90990592\", alpha=\"0.04\", expect_size=\"45495296\"] \n  7 -> 9 [size =\"45495296\"]\n  7 -> 10 [size =\"45495296\"]\n  7 -> 13 [size =\"45495296\"]\n  8 [size=\"48764928\", alpha=\"0.14\", expect_size=\"24382464\"] \n  8 -> 16 [size =\"24382464\"]\n  8 -> 20 [size =\"24382464\"]\n  9 [size=\"20537344\", alpha=\"0.08\", expect_size=\"10268672\"] \n  9 -> 16 [size =\"10268672\"]\n  9 -> 20 [size =\"10268672\"]\n  9 -> 21 [size =\"10268672\"]\n  10 [size=\"34684928\", alpha=\"0.14\", expect_size=\"17342464\"] \n  10 -> 15 [size =\"17342464\"]\n  10 -> 16 [size =\"17342464\"]\n  10 -> 18 [size =\"17342464\"]\n  11 [size=\"26171392\", alpha=\"0.20\", expect_size=\"13085696\"] \n  12 [size=\"33714176\", alpha=\"0.14\", expect_size=\"16857088\"] \n  12 -> 17 [size =\"16857088\"]\n  12 -> 21 [size =\"16857088\"]\n  13 [size=\"49596416\", alpha=\"0.10\", expect_size=\"24798208\"] \n  13 -> 17 [size =\"24798208\"]\n  13 -> 21 [size =\"24798208\"]\n  14 [size=\"101429248\", alpha=\"0.00\", expect_size=\"50714624\"] \n  14 -> 15 [size =\"50714624\"]\n  14 -> 19 [size =\"50714624\"]\n  14 -> 20 [size =\"50714624\"]\n  14 -> 21 [size =\"50714624\"]\n  15 [size=\"40192000\", alpha=\"0.17\", expect_size=\"20096000\"] \n  15 -> 22 [size =\"20096000\"]\n  15 -> 23 [size =\"20096000\"]\n  15 -> 24 [size =\"20096000\"]\n  16 [size=\"94775296\", alpha=\"0.09\", expect_size=\"47387648\"] \n  16 -> 22 [size =\"47387648\"]\n  16 -> 23 [size =\"47387648\"]\n  16 -> 24 [size =\"47387648\"]\n  17 [size=\"52713472\", alpha=\"0.05\", expect_size=\"26356736\"] \n  17 -> 23 [size =\"26356736\"]\n  18 [size=\"69900288\", alpha=\"0.15\", expect_size=\"34950144\"] \n  18 -> 22 [size =\"34950144\"]\n  18 -> 23 [size =\"34950144\"]\n  19 [size=\"40456192\", alpha=\"0.20\", expect_size=\"20228096\"] \n  19 -> 22 [size =\"20228096\"]\n  19 -> 23 [size =\"20228096\"]\n  20 [size=\"80162816\", alpha=\"0.10\", expect_size=\"40081408\"] \n  20 -> 22 [size =\"40081408\"]\n  20 -> 23 [size =\"40081408\"]\n  20 -> 24 [size =\"40081408\"]\n  21 [size=\"50753536\", alpha=\"0.12\", expect_size=\"25376768\"] \n  21 -> 24 [size =\"25376768\"]\n  22 [size=\"49733632\", alpha=\"0.13\", expect_size=\"24866816\"] \n  22 -> 25 [size =\"24866816\"]\n  22 -> 26 [size =\"24866816\"]\n  22 -> 27 [size =\"24866816\"]\n  22 -> 28 [size =\"24866816\"]\n  23 [size=\"19853312\", alpha=\"0.19\", expect_size=\"9926656\"] \n  23 -> 25 [size =\"9926656\"]\n  23 -> 26 [size =\"9926656\"]\n  23 -> 27 [size =\"9926656\"]\n  24 [size=\"69220352\", alpha=\"0.12\", expect_size=\"34610176\"] \n  24 -> 26 [size =\"34610176\"]\n  24 -> 27 [size =\"34610176\"]\n  24 -> 28 [size =\"34610176\"]\n  25 [size=\"69249024\", alpha=\"0.19\", expect_size=\"34624512\"] \n  25 -> 30 [size =\"34624512\"]\n  25 -> 32 [size =\"34624512\"]\n  26 [size=\"53790720\", alpha=\"0.15\", expect_size=\"26895360\"] \n  26 -> 29 [size =\"26895360\"]\n  26 -> 30 [size =\"26895360\"]\n  26 -> 31 [size =\"26895360\"]\n  26 -> 32 [size =\"26895360\"]\n  27 [size=\"95983616\", alpha=\"0.09\", expect_size=\"47991808\"] \n  27 -> 29 [size =\"47991808\"]\n  27 -> 30 [size =\"47991808\"]\n  27 -> 31 [size =\"47991808\"]\n  27 -> 32 [size =\"47991808\"]\n  28 [size=\"24561664\", alpha=\"0.10\", expect_size=\"12280832\"] \n  28 -> 30 [size =\"12280832\"]\n  28 -> 31 [size =\"12280832\"]\n  28 -> 31 [size =\"12280832\"]\n  28 -> 32 [size =\"12280832\"]\n  29 [size=\"95797248\", alpha=\"0.14\", expect_size=\"47898624\"] \n  29 -> 33 [size =\"47898624\"]\n  29 -> 35 [size =\"47898624\"]\n  29 -> 36 [size =\"47898624\"]\n  29 -> 38 [size =\"47898624\"]\n  30 [size=\"94693376\", alpha=\"0.03\", expect_size=\"47346688\"] \n  30 -> 33 [size =\"47346688\"]\n  30 -> 36 [size =\"47346688\"]\n  30 -> 37 [size =\"47346688\"]\n  30 -> 39 [size =\"47346688\"]\n  30 -> 40 [size =\"47346688\"]\n  31 [size=\"45152256\", alpha=\"0.15\", expect_size=\"22576128\"] \n  31 -> 33 [size =\"22576128\"]\n  31 -> 36 [size =\"22576128\"]\n  31 -> 39 [size =\"22576128\"]\n  31 -> 40 [size =\"22576128\"]\n  32 [size=\"102334464\", alpha=\"0.12\", expect_size=\"51167232\"] \n  32 -> 33 [size =\"51167232\"]\n  32 -> 34 [size =\"51167232\"]\n  32 -> 35 [size =\"51167232\"]\n  32 -> 36 [size =\"51167232\"]\n  32 -> 37 [size =\"51167232\"]\n  32 -> 40 [size =\"51167232\"]\n  33 [size=\"70471680\", alpha=\"0.17\", expect_size=\"35235840\"] \n  34 [size=\"63803392\", alpha=\"0.02\", expect_size=\"31901696\"] \n  35 [size=\"24762368\", alpha=\"0.13\", expect_size=\"12381184\"] \n  36 [size=\"20164608\", alpha=\"0.02\", expect_size=\"10082304\"] \n  37 [size=\"92753920\", alpha=\"0.19\", expect_size=\"46376960\"] \n  38 [size=\"39921664\", alpha=\"0.10\", expect_size=\"19960832\"] \n  39 [size=\"88690688\", alpha=\"0.06\", expect_size=\"44345344\"] \n  40 [size=\"60370944\", alpha=\"0.18\", expect_size=\"30185472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22198272\", alpha=\"0.13\", expect_size=\"11099136\"] \n  1 -> 14 [size =\"11099136\"]\n  1 -> 16 [size =\"11099136\"]\n  1 -> 21 [size =\"11099136\"]\n  1 -> 22 [size =\"11099136\"]\n  2 [size=\"80111616\", alpha=\"0.15\", expect_size=\"40055808\"] \n  2 -> 13 [size =\"40055808\"]\n  2 -> 14 [size =\"40055808\"]\n  2 -> 17 [size =\"40055808\"]\n  2 -> 21 [size =\"40055808\"]\n  2 -> 22 [size =\"40055808\"]\n  3 [size=\"100052992\", alpha=\"0.10\", expect_size=\"50026496\"] \n  3 -> 14 [size =\"50026496\"]\n  3 -> 15 [size =\"50026496\"]\n  3 -> 21 [size =\"50026496\"]\n  4 [size=\"40687616\", alpha=\"0.10\", expect_size=\"20343808\"] \n  4 -> 13 [size =\"20343808\"]\n  4 -> 14 [size =\"20343808\"]\n  4 -> 15 [size =\"20343808\"]\n  4 -> 20 [size =\"20343808\"]\n  5 [size=\"35102720\", alpha=\"0.05\", expect_size=\"17551360\"] \n  5 -> 14 [size =\"17551360\"]\n  5 -> 15 [size =\"17551360\"]\n  5 -> 18 [size =\"17551360\"]\n  5 -> 19 [size =\"17551360\"]\n  5 -> 20 [size =\"17551360\"]\n  6 [size=\"14389248\", alpha=\"0.14\", expect_size=\"7194624\"] \n  6 -> 13 [size =\"7194624\"]\n  6 -> 17 [size =\"7194624\"]\n  6 -> 21 [size =\"7194624\"]\n  7 [size=\"92674048\", alpha=\"0.01\", expect_size=\"46337024\"] \n  7 -> 17 [size =\"46337024\"]\n  7 -> 20 [size =\"46337024\"]\n  8 [size=\"88541184\", alpha=\"0.12\", expect_size=\"44270592\"] \n  8 -> 15 [size =\"44270592\"]\n  8 -> 19 [size =\"44270592\"]\n  8 -> 20 [size =\"44270592\"]\n  8 -> 23 [size =\"44270592\"]\n  9 [size=\"68044800\", alpha=\"0.19\", expect_size=\"34022400\"] \n  9 -> 20 [size =\"34022400\"]\n  10 [size=\"13512704\", alpha=\"0.16\", expect_size=\"6756352\"] \n  10 -> 14 [size =\"6756352\"]\n  10 -> 18 [size =\"6756352\"]\n  11 [size=\"41404416\", alpha=\"0.10\", expect_size=\"20702208\"] \n  11 -> 16 [size =\"20702208\"]\n  11 -> 17 [size =\"20702208\"]\n  11 -> 20 [size =\"20702208\"]\n  12 [size=\"101640192\", alpha=\"0.08\", expect_size=\"50820096\"] \n  12 -> 17 [size =\"50820096\"]\n  13 [size=\"78698496\", alpha=\"0.09\", expect_size=\"39349248\"] \n  13 -> 25 [size =\"39349248\"]\n  13 -> 30 [size =\"39349248\"]\n  14 [size=\"29614080\", alpha=\"0.15\", expect_size=\"14807040\"] \n  14 -> 30 [size =\"14807040\"]\n  14 -> 32 [size =\"14807040\"]\n  14 -> 36 [size =\"14807040\"]\n  15 [size=\"74817536\", alpha=\"0.15\", expect_size=\"37408768\"] \n  15 -> 24 [size =\"37408768\"]\n  15 -> 26 [size =\"37408768\"]\n  15 -> 28 [size =\"37408768\"]\n  15 -> 35 [size =\"37408768\"]\n  15 -> 36 [size =\"37408768\"]\n  16 [size=\"98394112\", alpha=\"0.15\", expect_size=\"49197056\"] \n  16 -> 25 [size =\"49197056\"]\n  16 -> 29 [size =\"49197056\"]\n  16 -> 33 [size =\"49197056\"]\n  17 [size=\"70191104\", alpha=\"0.12\", expect_size=\"35095552\"] \n  17 -> 27 [size =\"35095552\"]\n  17 -> 29 [size =\"35095552\"]\n  17 -> 32 [size =\"35095552\"]\n  18 [size=\"73021440\", alpha=\"0.17\", expect_size=\"36510720\"] \n  18 -> 24 [size =\"36510720\"]\n  18 -> 29 [size =\"36510720\"]\n  18 -> 31 [size =\"36510720\"]\n  18 -> 32 [size =\"36510720\"]\n  18 -> 33 [size =\"36510720\"]\n  19 [size=\"34525184\", alpha=\"0.20\", expect_size=\"17262592\"] \n  19 -> 24 [size =\"17262592\"]\n  19 -> 27 [size =\"17262592\"]\n  19 -> 34 [size =\"17262592\"]\n  20 [size=\"29020160\", alpha=\"0.04\", expect_size=\"14510080\"] \n  20 -> 24 [size =\"14510080\"]\n  20 -> 25 [size =\"14510080\"]\n  20 -> 27 [size =\"14510080\"]\n  20 -> 31 [size =\"14510080\"]\n  20 -> 32 [size =\"14510080\"]\n  20 -> 34 [size =\"14510080\"]\n  21 [size=\"102877184\", alpha=\"0.10\", expect_size=\"51438592\"] \n  21 -> 24 [size =\"51438592\"]\n  21 -> 26 [size =\"51438592\"]\n  21 -> 33 [size =\"51438592\"]\n  22 [size=\"55232512\", alpha=\"0.12\", expect_size=\"27616256\"] \n  22 -> 28 [size =\"27616256\"]\n  22 -> 30 [size =\"27616256\"]\n  23 [size=\"93976576\", alpha=\"0.12\", expect_size=\"46988288\"] \n  23 -> 25 [size =\"46988288\"]\n  23 -> 29 [size =\"46988288\"]\n  23 -> 32 [size =\"46988288\"]\n  23 -> 33 [size =\"46988288\"]\n  24 [size=\"40429568\", alpha=\"0.18\", expect_size=\"20214784\"] \n  25 [size=\"17790976\", alpha=\"0.10\", expect_size=\"8895488\"] \n  25 -> 38 [size =\"8895488\"]\n  25 -> 40 [size =\"8895488\"]\n  26 [size=\"90558464\", alpha=\"0.03\", expect_size=\"45279232\"] \n  26 -> 39 [size =\"45279232\"]\n  26 -> 40 [size =\"45279232\"]\n  27 [size=\"67694592\", alpha=\"0.13\", expect_size=\"33847296\"] \n  27 -> 40 [size =\"33847296\"]\n  28 [size=\"31635456\", alpha=\"0.19\", expect_size=\"15817728\"] \n  28 -> 39 [size =\"15817728\"]\n  29 [size=\"16713728\", alpha=\"0.18\", expect_size=\"8356864\"] \n  29 -> 37 [size =\"8356864\"]\n  29 -> 40 [size =\"8356864\"]\n  30 [size=\"15882240\", alpha=\"0.18\", expect_size=\"7941120\"] \n  31 [size=\"33867776\", alpha=\"0.04\", expect_size=\"16933888\"] \n  31 -> 39 [size =\"16933888\"]\n  31 -> 40 [size =\"16933888\"]\n  32 [size=\"82388992\", alpha=\"0.09\", expect_size=\"41194496\"] \n  32 -> 38 [size =\"41194496\"]\n  32 -> 39 [size =\"41194496\"]\n  33 [size=\"42323968\", alpha=\"0.09\", expect_size=\"21161984\"] \n  33 -> 38 [size =\"21161984\"]\n  33 -> 39 [size =\"21161984\"]\n  33 -> 40 [size =\"21161984\"]\n  34 [size=\"97615872\", alpha=\"0.13\", expect_size=\"48807936\"] \n  34 -> 39 [size =\"48807936\"]\n  35 [size=\"89720832\", alpha=\"0.10\", expect_size=\"44860416\"] \n  35 -> 38 [size =\"44860416\"]\n  36 [size=\"43261952\", alpha=\"0.06\", expect_size=\"21630976\"] \n  36 -> 39 [size =\"21630976\"]\n  37 [size=\"56512512\", alpha=\"0.15\", expect_size=\"28256256\"] \n  38 [size=\"22919168\", alpha=\"0.17\", expect_size=\"11459584\"] \n  39 [size=\"20535296\", alpha=\"0.04\", expect_size=\"10267648\"] \n  40 [size=\"12552192\", alpha=\"0.15\", expect_size=\"6276096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87272960\", alpha=\"0.03\", expect_size=\"34909184\"] \n  1 -> 2 [size =\"34909184\"]\n  2 [size=\"119895040\", alpha=\"0.19\", expect_size=\"47958016\"] \n  2 -> 3 [size =\"47958016\"]\n  3 [size=\"48104960\", alpha=\"0.10\", expect_size=\"19241984\"] \n  3 -> 4 [size =\"19241984\"]\n  4 [size=\"122247680\", alpha=\"0.02\", expect_size=\"48899072\"] \n  4 -> 5 [size =\"48899072\"]\n  5 [size=\"98754560\", alpha=\"0.14\", expect_size=\"39501824\"] \n  5 -> 6 [size =\"39501824\"]\n  6 [size=\"37340160\", alpha=\"0.07\", expect_size=\"14936064\"] \n  6 -> 7 [size =\"14936064\"]\n  7 [size=\"34055680\", alpha=\"0.13\", expect_size=\"13622272\"] \n  7 -> 8 [size =\"13622272\"]\n  8 [size=\"53120000\", alpha=\"0.06\", expect_size=\"21248000\"] \n  8 -> 9 [size =\"21248000\"]\n  9 [size=\"65697280\", alpha=\"0.08\", expect_size=\"26278912\"] \n  9 -> 10 [size =\"26278912\"]\n  10 [size=\"37324800\", alpha=\"0.18\", expect_size=\"14929920\"] \n  10 -> 11 [size =\"14929920\"]\n  11 [size=\"70901760\", alpha=\"0.16\", expect_size=\"28360704\"] \n  11 -> 12 [size =\"28360704\"]\n  12 [size=\"86144000\", alpha=\"0.03\", expect_size=\"34457600\"] \n  12 -> 13 [size =\"34457600\"]\n  13 [size=\"78917120\", alpha=\"0.13\", expect_size=\"31566848\"] \n  13 -> 14 [size =\"31566848\"]\n  14 [size=\"17218560\", alpha=\"0.10\", expect_size=\"6887424\"] \n  14 -> 15 [size =\"6887424\"]\n  15 [size=\"29852160\", alpha=\"0.12\", expect_size=\"11940864\"] \n  15 -> 16 [size =\"11940864\"]\n  16 [size=\"113387520\", alpha=\"0.19\", expect_size=\"45355008\"] \n  16 -> 17 [size =\"45355008\"]\n  17 [size=\"36715520\", alpha=\"0.03\", expect_size=\"14686208\"] \n  17 -> 18 [size =\"14686208\"]\n  18 [size=\"110446080\", alpha=\"0.14\", expect_size=\"44178432\"] \n  18 -> 19 [size =\"44178432\"]\n  19 [size=\"24990720\", alpha=\"0.03\", expect_size=\"9996288\"] \n  19 -> 20 [size =\"9996288\"]\n  20 [size=\"74222080\", alpha=\"0.06\", expect_size=\"29688832\"] \n  20 -> 21 [size =\"29688832\"]\n  21 [size=\"60707840\", alpha=\"0.01\", expect_size=\"24283136\"] \n  21 -> 22 [size =\"24283136\"]\n  22 [size=\"39413760\", alpha=\"0.15\", expect_size=\"15765504\"] \n  22 -> 23 [size =\"15765504\"]\n  23 [size=\"59962880\", alpha=\"0.14\", expect_size=\"23985152\"] \n  23 -> 24 [size =\"23985152\"]\n  24 [size=\"18565120\", alpha=\"0.12\", expect_size=\"7426048\"] \n  24 -> 25 [size =\"7426048\"]\n  25 [size=\"75630080\", alpha=\"0.05\", expect_size=\"30252032\"] \n  25 -> 26 [size =\"30252032\"]\n  26 [size=\"27041280\", alpha=\"0.02\", expect_size=\"10816512\"] \n  26 -> 27 [size =\"10816512\"]\n  27 [size=\"23418880\", alpha=\"0.02\", expect_size=\"9367552\"] \n  27 -> 28 [size =\"9367552\"]\n  28 [size=\"39244800\", alpha=\"0.09\", expect_size=\"15697920\"] \n  28 -> 29 [size =\"15697920\"]\n  29 [size=\"124006400\", alpha=\"0.05\", expect_size=\"49602560\"] \n  29 -> 30 [size =\"49602560\"]\n  30 [size=\"24266240\", alpha=\"0.05\", expect_size=\"9706496\"] \n  30 -> 31 [size =\"9706496\"]\n  31 [size=\"59422720\", alpha=\"0.14\", expect_size=\"23769088\"] \n  31 -> 32 [size =\"23769088\"]\n  32 [size=\"67714560\", alpha=\"0.16\", expect_size=\"27085824\"] \n  32 -> 33 [size =\"27085824\"]\n  33 [size=\"37967360\", alpha=\"0.10\", expect_size=\"15186944\"] \n  33 -> 34 [size =\"15186944\"]\n  34 [size=\"123143680\", alpha=\"0.04\", expect_size=\"49257472\"] \n  34 -> 35 [size =\"49257472\"]\n  35 [size=\"78489600\", alpha=\"0.01\", expect_size=\"31395840\"] \n  35 -> 36 [size =\"31395840\"]\n  36 [size=\"107617280\", alpha=\"0.14\", expect_size=\"43046912\"] \n  36 -> 37 [size =\"43046912\"]\n  37 [size=\"116800000\", alpha=\"0.12\", expect_size=\"46720000\"] \n  37 -> 38 [size =\"46720000\"]\n  38 [size=\"126983680\", alpha=\"0.07\", expect_size=\"50793472\"] \n  38 -> 39 [size =\"50793472\"]\n  39 [size=\"60218880\", alpha=\"0.03\", expect_size=\"24087552\"] \n  39 -> 40 [size =\"24087552\"]\n  40 [size=\"87060480\", alpha=\"0.10\", expect_size=\"34824192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123248640\", alpha=\"0.10\", expect_size=\"49299456\"] \n  1 -> 8 [size =\"49299456\"]\n  2 [size=\"50959360\", alpha=\"0.01\", expect_size=\"20383744\"] \n  2 -> 9 [size =\"20383744\"]\n  3 [size=\"104322560\", alpha=\"0.03\", expect_size=\"41729024\"] \n  3 -> 9 [size =\"41729024\"]\n  4 [size=\"50629120\", alpha=\"0.17\", expect_size=\"20251648\"] \n  4 -> 9 [size =\"20251648\"]\n  5 [size=\"52270080\", alpha=\"0.17\", expect_size=\"20908032\"] \n  5 -> 9 [size =\"20908032\"]\n  6 [size=\"95290880\", alpha=\"0.14\", expect_size=\"38116352\"] \n  6 -> 8 [size =\"38116352\"]\n  6 -> 10 [size =\"38116352\"]\n  7 [size=\"42670080\", alpha=\"0.11\", expect_size=\"17068032\"] \n  7 -> 8 [size =\"17068032\"]\n  7 -> 10 [size =\"17068032\"]\n  8 [size=\"94812160\", alpha=\"0.05\", expect_size=\"37924864\"] \n  8 -> 12 [size =\"37924864\"]\n  8 -> 13 [size =\"37924864\"]\n  8 -> 15 [size =\"37924864\"]\n  9 [size=\"107911680\", alpha=\"0.13\", expect_size=\"43164672\"] \n  9 -> 11 [size =\"43164672\"]\n  9 -> 13 [size =\"43164672\"]\n  9 -> 14 [size =\"43164672\"]\n  10 [size=\"83018240\", alpha=\"0.12\", expect_size=\"33207296\"] \n  11 [size=\"48401920\", alpha=\"0.05\", expect_size=\"19360768\"] \n  11 -> 18 [size =\"19360768\"]\n  11 -> 19 [size =\"19360768\"]\n  12 [size=\"106053120\", alpha=\"0.14\", expect_size=\"42421248\"] \n  12 -> 17 [size =\"42421248\"]\n  12 -> 19 [size =\"42421248\"]\n  13 [size=\"114260480\", alpha=\"0.10\", expect_size=\"45704192\"] \n  13 -> 19 [size =\"45704192\"]\n  13 -> 20 [size =\"45704192\"]\n  14 [size=\"14878720\", alpha=\"0.14\", expect_size=\"5951488\"] \n  14 -> 16 [size =\"5951488\"]\n  14 -> 17 [size =\"5951488\"]\n  14 -> 18 [size =\"5951488\"]\n  14 -> 20 [size =\"5951488\"]\n  15 [size=\"113589760\", alpha=\"0.08\", expect_size=\"45435904\"] \n  15 -> 17 [size =\"45435904\"]\n  15 -> 18 [size =\"45435904\"]\n  15 -> 20 [size =\"45435904\"]\n  16 [size=\"98032640\", alpha=\"0.01\", expect_size=\"39213056\"] \n  16 -> 21 [size =\"39213056\"]\n  16 -> 24 [size =\"39213056\"]\n  17 [size=\"63001600\", alpha=\"0.11\", expect_size=\"25200640\"] \n  17 -> 25 [size =\"25200640\"]\n  18 [size=\"127559680\", alpha=\"0.11\", expect_size=\"51023872\"] \n  18 -> 26 [size =\"51023872\"]\n  19 [size=\"39731200\", alpha=\"0.18\", expect_size=\"15892480\"] \n  19 -> 22 [size =\"15892480\"]\n  19 -> 23 [size =\"15892480\"]\n  20 [size=\"115742720\", alpha=\"0.11\", expect_size=\"46297088\"] \n  20 -> 23 [size =\"46297088\"]\n  20 -> 24 [size =\"46297088\"]\n  20 -> 25 [size =\"46297088\"]\n  20 -> 27 [size =\"46297088\"]\n  21 [size=\"66076160\", alpha=\"0.02\", expect_size=\"26430464\"] \n  21 -> 28 [size =\"26430464\"]\n  21 -> 30 [size =\"26430464\"]\n  22 [size=\"95403520\", alpha=\"0.00\", expect_size=\"38161408\"] \n  23 [size=\"62632960\", alpha=\"0.13\", expect_size=\"25053184\"] \n  23 -> 31 [size =\"25053184\"]\n  24 [size=\"119723520\", alpha=\"0.13\", expect_size=\"47889408\"] \n  24 -> 29 [size =\"47889408\"]\n  24 -> 31 [size =\"47889408\"]\n  25 [size=\"82163200\", alpha=\"0.20\", expect_size=\"32865280\"] \n  25 -> 28 [size =\"32865280\"]\n  26 [size=\"127244800\", alpha=\"0.20\", expect_size=\"50897920\"] \n  27 [size=\"13324800\", alpha=\"0.05\", expect_size=\"5329920\"] \n  27 -> 28 [size =\"5329920\"]\n  27 -> 31 [size =\"5329920\"]\n  28 [size=\"80936960\", alpha=\"0.04\", expect_size=\"32374784\"] \n  28 -> 38 [size =\"32374784\"]\n  28 -> 39 [size =\"32374784\"]\n  29 [size=\"28856320\", alpha=\"0.20\", expect_size=\"11542528\"] \n  29 -> 34 [size =\"11542528\"]\n  29 -> 36 [size =\"11542528\"]\n  30 [size=\"16023040\", alpha=\"0.07\", expect_size=\"6409216\"] \n  30 -> 32 [size =\"6409216\"]\n  30 -> 34 [size =\"6409216\"]\n  30 -> 35 [size =\"6409216\"]\n  30 -> 37 [size =\"6409216\"]\n  30 -> 38 [size =\"6409216\"]\n  31 [size=\"78848000\", alpha=\"0.20\", expect_size=\"31539200\"] \n  31 -> 33 [size =\"31539200\"]\n  31 -> 39 [size =\"31539200\"]\n  32 [size=\"91545600\", alpha=\"0.09\", expect_size=\"36618240\"] \n  33 [size=\"91965440\", alpha=\"0.15\", expect_size=\"36786176\"] \n  34 [size=\"53358080\", alpha=\"0.01\", expect_size=\"21343232\"] \n  34 -> 40 [size =\"21343232\"]\n  35 [size=\"13248000\", alpha=\"0.04\", expect_size=\"5299200\"] \n  35 -> 40 [size =\"5299200\"]\n  36 [size=\"128765440\", alpha=\"0.02\", expect_size=\"51506176\"] \n  36 -> 40 [size =\"51506176\"]\n  37 [size=\"128199680\", alpha=\"0.08\", expect_size=\"51279872\"] \n  37 -> 40 [size =\"51279872\"]\n  38 [size=\"41113600\", alpha=\"0.14\", expect_size=\"16445440\"] \n  38 -> 40 [size =\"16445440\"]\n  39 [size=\"67182080\", alpha=\"0.04\", expect_size=\"26872832\"] \n  40 [size=\"65274880\", alpha=\"0.12\", expect_size=\"26109952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30593024\", alpha=\"0.13\", expect_size=\"15296512\"] \n  1 -> 2 [size =\"15296512\"]\n  2 [size=\"57260032\", alpha=\"0.18\", expect_size=\"28630016\"] \n  2 -> 3 [size =\"28630016\"]\n  3 [size=\"75063296\", alpha=\"0.05\", expect_size=\"37531648\"] \n  3 -> 4 [size =\"37531648\"]\n  4 [size=\"83865600\", alpha=\"0.05\", expect_size=\"41932800\"] \n  4 -> 5 [size =\"41932800\"]\n  5 [size=\"66881536\", alpha=\"0.14\", expect_size=\"33440768\"] \n  5 -> 6 [size =\"33440768\"]\n  6 [size=\"78626816\", alpha=\"0.18\", expect_size=\"39313408\"] \n  6 -> 7 [size =\"39313408\"]\n  7 [size=\"73482240\", alpha=\"0.14\", expect_size=\"36741120\"] \n  7 -> 8 [size =\"36741120\"]\n  8 [size=\"48556032\", alpha=\"0.10\", expect_size=\"24278016\"] \n  8 -> 9 [size =\"24278016\"]\n  9 [size=\"19472384\", alpha=\"0.08\", expect_size=\"9736192\"] \n  9 -> 10 [size =\"9736192\"]\n  10 [size=\"61560832\", alpha=\"0.13\", expect_size=\"30780416\"] \n  10 -> 11 [size =\"30780416\"]\n  11 [size=\"13922304\", alpha=\"0.08\", expect_size=\"6961152\"] \n  11 -> 12 [size =\"6961152\"]\n  12 [size=\"74813440\", alpha=\"0.07\", expect_size=\"37406720\"] \n  12 -> 13 [size =\"37406720\"]\n  13 [size=\"66129920\", alpha=\"0.16\", expect_size=\"33064960\"] \n  13 -> 14 [size =\"33064960\"]\n  14 [size=\"90853376\", alpha=\"0.08\", expect_size=\"45426688\"] \n  14 -> 15 [size =\"45426688\"]\n  15 [size=\"19830784\", alpha=\"0.16\", expect_size=\"9915392\"] \n  15 -> 16 [size =\"9915392\"]\n  16 [size=\"85571584\", alpha=\"0.18\", expect_size=\"42785792\"] \n  16 -> 17 [size =\"42785792\"]\n  17 [size=\"74141696\", alpha=\"0.04\", expect_size=\"37070848\"] \n  17 -> 18 [size =\"37070848\"]\n  18 [size=\"47104000\", alpha=\"0.04\", expect_size=\"23552000\"] \n  18 -> 19 [size =\"23552000\"]\n  19 [size=\"93153280\", alpha=\"0.19\", expect_size=\"46576640\"] \n  19 -> 20 [size =\"46576640\"]\n  20 [size=\"38662144\", alpha=\"0.10\", expect_size=\"19331072\"] \n  20 -> 21 [size =\"19331072\"]\n  21 [size=\"100722688\", alpha=\"0.06\", expect_size=\"50361344\"] \n  21 -> 22 [size =\"50361344\"]\n  22 [size=\"44562432\", alpha=\"0.12\", expect_size=\"22281216\"] \n  22 -> 23 [size =\"22281216\"]\n  23 [size=\"75782144\", alpha=\"0.11\", expect_size=\"37891072\"] \n  23 -> 24 [size =\"37891072\"]\n  24 [size=\"55420928\", alpha=\"0.06\", expect_size=\"27710464\"] \n  24 -> 25 [size =\"27710464\"]\n  25 [size=\"93763584\", alpha=\"0.13\", expect_size=\"46881792\"] \n  25 -> 26 [size =\"46881792\"]\n  26 [size=\"76025856\", alpha=\"0.14\", expect_size=\"38012928\"] \n  26 -> 27 [size =\"38012928\"]\n  27 [size=\"65783808\", alpha=\"0.09\", expect_size=\"32891904\"] \n  27 -> 28 [size =\"32891904\"]\n  28 [size=\"86349824\", alpha=\"0.12\", expect_size=\"43174912\"] \n  28 -> 29 [size =\"43174912\"]\n  29 [size=\"12670976\", alpha=\"0.17\", expect_size=\"6335488\"] \n  29 -> 30 [size =\"6335488\"]\n  30 [size=\"100282368\", alpha=\"0.12\", expect_size=\"50141184\"] \n  30 -> 31 [size =\"50141184\"]\n  31 [size=\"53684224\", alpha=\"0.08\", expect_size=\"26842112\"] \n  31 -> 32 [size =\"26842112\"]\n  32 [size=\"81727488\", alpha=\"0.18\", expect_size=\"40863744\"] \n  32 -> 33 [size =\"40863744\"]\n  33 [size=\"42446848\", alpha=\"0.20\", expect_size=\"21223424\"] \n  33 -> 34 [size =\"21223424\"]\n  34 [size=\"94791680\", alpha=\"0.19\", expect_size=\"47395840\"] \n  34 -> 35 [size =\"47395840\"]\n  35 [size=\"29024256\", alpha=\"0.19\", expect_size=\"14512128\"] \n  35 -> 36 [size =\"14512128\"]\n  36 [size=\"90290176\", alpha=\"0.16\", expect_size=\"45145088\"] \n  36 -> 37 [size =\"45145088\"]\n  37 [size=\"63610880\", alpha=\"0.06\", expect_size=\"31805440\"] \n  37 -> 38 [size =\"31805440\"]\n  38 [size=\"11984896\", alpha=\"0.04\", expect_size=\"5992448\"] \n  38 -> 39 [size =\"5992448\"]\n  39 [size=\"67856384\", alpha=\"0.19\", expect_size=\"33928192\"] \n  39 -> 40 [size =\"33928192\"]\n  40 [size=\"51468288\", alpha=\"0.00\", expect_size=\"25734144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91077973\", alpha=\"0.12\", expect_size=\"27323392\"] \n  2 [size=\"82711893\", alpha=\"0.04\", expect_size=\"24813568\"] \n  2 -> 4 [size =\"24813568\"]\n  3 [size=\"28105387\", alpha=\"0.12\", expect_size=\"8431616\"] \n  3 -> 5 [size =\"8431616\"]\n  3 -> 6 [size =\"8431616\"]\n  4 [size=\"67444053\", alpha=\"0.09\", expect_size=\"20233216\"] \n  4 -> 8 [size =\"20233216\"]\n  5 [size=\"166253227\", alpha=\"0.04\", expect_size=\"49875968\"] \n  5 -> 7 [size =\"49875968\"]\n  5 -> 8 [size =\"49875968\"]\n  5 -> 9 [size =\"49875968\"]\n  6 [size=\"96645120\", alpha=\"0.05\", expect_size=\"28993536\"] \n  7 [size=\"126743893\", alpha=\"0.02\", expect_size=\"38023168\"] \n  7 -> 12 [size =\"38023168\"]\n  8 [size=\"151121920\", alpha=\"0.03\", expect_size=\"45336576\"] \n  8 -> 10 [size =\"45336576\"]\n  8 -> 11 [size =\"45336576\"]\n  8 -> 12 [size =\"45336576\"]\n  9 [size=\"67399680\", alpha=\"0.08\", expect_size=\"20219904\"] \n  9 -> 11 [size =\"20219904\"]\n  10 [size=\"104953173\", alpha=\"0.16\", expect_size=\"31485952\"] \n  10 -> 13 [size =\"31485952\"]\n  11 [size=\"85149013\", alpha=\"0.16\", expect_size=\"25544704\"] \n  12 [size=\"25395200\", alpha=\"0.19\", expect_size=\"7618560\"] \n  12 -> 13 [size =\"7618560\"]\n  13 [size=\"53623467\", alpha=\"0.11\", expect_size=\"16087040\"] \n  13 -> 14 [size =\"16087040\"]\n  13 -> 15 [size =\"16087040\"]\n  14 [size=\"146029227\", alpha=\"0.10\", expect_size=\"43808768\"] \n  14 -> 17 [size =\"43808768\"]\n  15 [size=\"58760533\", alpha=\"0.01\", expect_size=\"17628160\"] \n  15 -> 16 [size =\"17628160\"]\n  15 -> 17 [size =\"17628160\"]\n  16 [size=\"91422720\", alpha=\"0.05\", expect_size=\"27426816\"] \n  16 -> 18 [size =\"27426816\"]\n  16 -> 19 [size =\"27426816\"]\n  16 -> 21 [size =\"27426816\"]\n  17 [size=\"127860053\", alpha=\"0.17\", expect_size=\"38358016\"] \n  17 -> 19 [size =\"38358016\"]\n  17 -> 20 [size =\"38358016\"]\n  18 [size=\"146247680\", alpha=\"0.19\", expect_size=\"43874304\"] \n  19 [size=\"168540160\", alpha=\"0.03\", expect_size=\"50562048\"] \n  20 [size=\"76718080\", alpha=\"0.08\", expect_size=\"23015424\"] \n  21 [size=\"44868267\", alpha=\"0.03\", expect_size=\"13460480\"] \n  21 -> 22 [size =\"13460480\"]\n  22 [size=\"167297707\", alpha=\"0.06\", expect_size=\"50189312\"] \n  22 -> 23 [size =\"50189312\"]\n  22 -> 24 [size =\"50189312\"]\n  22 -> 25 [size =\"50189312\"]\n  23 [size=\"160040960\", alpha=\"0.11\", expect_size=\"48012288\"] \n  23 -> 26 [size =\"48012288\"]\n  24 [size=\"92313600\", alpha=\"0.02\", expect_size=\"27694080\"] \n  25 [size=\"167980373\", alpha=\"0.12\", expect_size=\"50394112\"] \n  25 -> 26 [size =\"50394112\"]\n  26 [size=\"173206187\", alpha=\"0.12\", expect_size=\"51961856\"] \n  26 -> 27 [size =\"51961856\"]\n  26 -> 28 [size =\"51961856\"]\n  27 [size=\"55746560\", alpha=\"0.05\", expect_size=\"16723968\"] \n  27 -> 29 [size =\"16723968\"]\n  28 [size=\"32191147\", alpha=\"0.16\", expect_size=\"9657344\"] \n  28 -> 29 [size =\"9657344\"]\n  29 [size=\"24903680\", alpha=\"0.13\", expect_size=\"7471104\"] \n  29 -> 30 [size =\"7471104\"]\n  29 -> 31 [size =\"7471104\"]\n  30 [size=\"45943467\", alpha=\"0.02\", expect_size=\"13783040\"] \n  30 -> 32 [size =\"13783040\"]\n  30 -> 33 [size =\"13783040\"]\n  31 [size=\"110708053\", alpha=\"0.18\", expect_size=\"33212416\"] \n  32 [size=\"135509333\", alpha=\"0.16\", expect_size=\"40652800\"] \n  32 -> 34 [size =\"40652800\"]\n  33 [size=\"28303360\", alpha=\"0.19\", expect_size=\"8491008\"] \n  34 [size=\"114292053\", alpha=\"0.18\", expect_size=\"34287616\"] \n  34 -> 35 [size =\"34287616\"]\n  34 -> 36 [size =\"34287616\"]\n  35 [size=\"128870400\", alpha=\"0.02\", expect_size=\"38661120\"] \n  35 -> 37 [size =\"38661120\"]\n  35 -> 39 [size =\"38661120\"]\n  36 [size=\"63532373\", alpha=\"0.15\", expect_size=\"19059712\"] \n  36 -> 38 [size =\"19059712\"]\n  36 -> 40 [size =\"19059712\"]\n  37 [size=\"154729813\", alpha=\"0.03\", expect_size=\"46418944\"] \n  38 [size=\"39874560\", alpha=\"0.07\", expect_size=\"11962368\"] \n  39 [size=\"167185067\", alpha=\"0.10\", expect_size=\"50155520\"] \n  40 [size=\"114728960\", alpha=\"0.00\", expect_size=\"34418688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120642560\", alpha=\"0.06\", expect_size=\"48257024\"] \n  1 -> 3 [size =\"48257024\"]\n  2 [size=\"45619200\", alpha=\"0.12\", expect_size=\"18247680\"] \n  3 [size=\"64378880\", alpha=\"0.12\", expect_size=\"25751552\"] \n  3 -> 4 [size =\"25751552\"]\n  3 -> 5 [size =\"25751552\"]\n  3 -> 6 [size =\"25751552\"]\n  4 [size=\"15759360\", alpha=\"0.12\", expect_size=\"6303744\"] \n  4 -> 8 [size =\"6303744\"]\n  5 [size=\"82854400\", alpha=\"0.19\", expect_size=\"33141760\"] \n  5 -> 7 [size =\"33141760\"]\n  5 -> 8 [size =\"33141760\"]\n  6 [size=\"93726720\", alpha=\"0.06\", expect_size=\"37490688\"] \n  6 -> 7 [size =\"37490688\"]\n  7 [size=\"81479680\", alpha=\"0.08\", expect_size=\"32591872\"] \n  7 -> 9 [size =\"32591872\"]\n  7 -> 12 [size =\"32591872\"]\n  8 [size=\"20154880\", alpha=\"0.01\", expect_size=\"8061952\"] \n  8 -> 10 [size =\"8061952\"]\n  8 -> 11 [size =\"8061952\"]\n  9 [size=\"25994240\", alpha=\"0.19\", expect_size=\"10397696\"] \n  9 -> 13 [size =\"10397696\"]\n  9 -> 14 [size =\"10397696\"]\n  10 [size=\"130362880\", alpha=\"0.20\", expect_size=\"52145152\"] \n  10 -> 13 [size =\"52145152\"]\n  10 -> 14 [size =\"52145152\"]\n  11 [size=\"42178560\", alpha=\"0.17\", expect_size=\"16871424\"] \n  11 -> 15 [size =\"16871424\"]\n  12 [size=\"79211520\", alpha=\"0.17\", expect_size=\"31684608\"] \n  13 [size=\"31098880\", alpha=\"0.18\", expect_size=\"12439552\"] \n  13 -> 16 [size =\"12439552\"]\n  14 [size=\"100362240\", alpha=\"0.13\", expect_size=\"40144896\"] \n  15 [size=\"54602240\", alpha=\"0.07\", expect_size=\"21840896\"] \n  16 [size=\"51297280\", alpha=\"0.14\", expect_size=\"20518912\"] \n  16 -> 17 [size =\"20518912\"]\n  16 -> 18 [size =\"20518912\"]\n  17 [size=\"84715520\", alpha=\"0.14\", expect_size=\"33886208\"] \n  18 [size=\"130273280\", alpha=\"0.19\", expect_size=\"52109312\"] \n  18 -> 19 [size =\"52109312\"]\n  18 -> 20 [size =\"52109312\"]\n  19 [size=\"20157440\", alpha=\"0.01\", expect_size=\"8062976\"] \n  19 -> 23 [size =\"8062976\"]\n  20 [size=\"14420480\", alpha=\"0.16\", expect_size=\"5768192\"] \n  20 -> 21 [size =\"5768192\"]\n  20 -> 22 [size =\"5768192\"]\n  21 [size=\"129454080\", alpha=\"0.11\", expect_size=\"51781632\"] \n  21 -> 24 [size =\"51781632\"]\n  22 [size=\"110300160\", alpha=\"0.10\", expect_size=\"44120064\"] \n  23 [size=\"95047680\", alpha=\"0.19\", expect_size=\"38019072\"] \n  24 [size=\"84357120\", alpha=\"0.08\", expect_size=\"33742848\"] \n  24 -> 25 [size =\"33742848\"]\n  24 -> 26 [size =\"33742848\"]\n  24 -> 27 [size =\"33742848\"]\n  25 [size=\"40998400\", alpha=\"0.08\", expect_size=\"16399360\"] \n  25 -> 29 [size =\"16399360\"]\n  26 [size=\"79659520\", alpha=\"0.03\", expect_size=\"31863808\"] \n  26 -> 28 [size =\"31863808\"]\n  26 -> 29 [size =\"31863808\"]\n  26 -> 30 [size =\"31863808\"]\n  26 -> 31 [size =\"31863808\"]\n  27 [size=\"43008000\", alpha=\"0.08\", expect_size=\"17203200\"] \n  27 -> 30 [size =\"17203200\"]\n  27 -> 31 [size =\"17203200\"]\n  28 [size=\"124183040\", alpha=\"0.16\", expect_size=\"49673216\"] \n  28 -> 34 [size =\"49673216\"]\n  28 -> 35 [size =\"49673216\"]\n  29 [size=\"119239680\", alpha=\"0.05\", expect_size=\"47695872\"] \n  29 -> 32 [size =\"47695872\"]\n  29 -> 33 [size =\"47695872\"]\n  29 -> 34 [size =\"47695872\"]\n  29 -> 35 [size =\"47695872\"]\n  30 [size=\"122278400\", alpha=\"0.14\", expect_size=\"48911360\"] \n  30 -> 32 [size =\"48911360\"]\n  30 -> 33 [size =\"48911360\"]\n  31 [size=\"101388800\", alpha=\"0.08\", expect_size=\"40555520\"] \n  32 [size=\"46141440\", alpha=\"0.13\", expect_size=\"18456576\"] \n  32 -> 36 [size =\"18456576\"]\n  33 [size=\"107015680\", alpha=\"0.02\", expect_size=\"42806272\"] \n  33 -> 37 [size =\"42806272\"]\n  34 [size=\"99356160\", alpha=\"0.05\", expect_size=\"39742464\"] \n  34 -> 37 [size =\"39742464\"]\n  34 -> 38 [size =\"39742464\"]\n  35 [size=\"25815040\", alpha=\"0.15\", expect_size=\"10326016\"] \n  35 -> 38 [size =\"10326016\"]\n  36 [size=\"74109440\", alpha=\"0.12\", expect_size=\"29643776\"] \n  37 [size=\"88924160\", alpha=\"0.01\", expect_size=\"35569664\"] \n  38 [size=\"20674560\", alpha=\"0.09\", expect_size=\"8269824\"] \n  38 -> 39 [size =\"8269824\"]\n  39 [size=\"112335360\", alpha=\"0.19\", expect_size=\"44934144\"] \n  39 -> 40 [size =\"44934144\"]\n  40 [size=\"22899200\", alpha=\"0.09\", expect_size=\"9159680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44247040\", alpha=\"0.07\", expect_size=\"17698816\"] \n  1 -> 8 [size =\"17698816\"]\n  1 -> 11 [size =\"17698816\"]\n  1 -> 13 [size =\"17698816\"]\n  1 -> 14 [size =\"17698816\"]\n  1 -> 17 [size =\"17698816\"]\n  2 [size=\"80353280\", alpha=\"0.17\", expect_size=\"32141312\"] \n  2 -> 13 [size =\"32141312\"]\n  2 -> 14 [size =\"32141312\"]\n  2 -> 16 [size =\"32141312\"]\n  3 [size=\"80163840\", alpha=\"0.04\", expect_size=\"32065536\"] \n  3 -> 9 [size =\"32065536\"]\n  3 -> 10 [size =\"32065536\"]\n  3 -> 18 [size =\"32065536\"]\n  4 [size=\"129720320\", alpha=\"0.19\", expect_size=\"51888128\"] \n  4 -> 9 [size =\"51888128\"]\n  4 -> 10 [size =\"51888128\"]\n  4 -> 11 [size =\"51888128\"]\n  4 -> 14 [size =\"51888128\"]\n  4 -> 17 [size =\"51888128\"]\n  5 [size=\"26813440\", alpha=\"0.15\", expect_size=\"10725376\"] \n  5 -> 8 [size =\"10725376\"]\n  5 -> 9 [size =\"10725376\"]\n  5 -> 11 [size =\"10725376\"]\n  5 -> 12 [size =\"10725376\"]\n  5 -> 16 [size =\"10725376\"]\n  6 [size=\"29445120\", alpha=\"0.13\", expect_size=\"11778048\"] \n  6 -> 11 [size =\"11778048\"]\n  6 -> 13 [size =\"11778048\"]\n  6 -> 15 [size =\"11778048\"]\n  6 -> 16 [size =\"11778048\"]\n  6 -> 18 [size =\"11778048\"]\n  7 [size=\"71982080\", alpha=\"0.20\", expect_size=\"28792832\"] \n  7 -> 13 [size =\"28792832\"]\n  7 -> 18 [size =\"28792832\"]\n  8 [size=\"18721280\", alpha=\"0.12\", expect_size=\"7488512\"] \n  8 -> 20 [size =\"7488512\"]\n  8 -> 21 [size =\"7488512\"]\n  8 -> 28 [size =\"7488512\"]\n  9 [size=\"48440320\", alpha=\"0.09\", expect_size=\"19376128\"] \n  9 -> 19 [size =\"19376128\"]\n  9 -> 21 [size =\"19376128\"]\n  10 [size=\"57546240\", alpha=\"0.14\", expect_size=\"23018496\"] \n  10 -> 20 [size =\"23018496\"]\n  10 -> 22 [size =\"23018496\"]\n  10 -> 27 [size =\"23018496\"]\n  10 -> 28 [size =\"23018496\"]\n  11 [size=\"51896320\", alpha=\"0.15\", expect_size=\"20758528\"] \n  11 -> 19 [size =\"20758528\"]\n  11 -> 20 [size =\"20758528\"]\n  11 -> 24 [size =\"20758528\"]\n  11 -> 25 [size =\"20758528\"]\n  11 -> 28 [size =\"20758528\"]\n  12 [size=\"90296320\", alpha=\"0.13\", expect_size=\"36118528\"] \n  12 -> 25 [size =\"36118528\"]\n  13 [size=\"72627200\", alpha=\"0.15\", expect_size=\"29050880\"] \n  13 -> 24 [size =\"29050880\"]\n  13 -> 25 [size =\"29050880\"]\n  13 -> 26 [size =\"29050880\"]\n  13 -> 27 [size =\"29050880\"]\n  14 [size=\"94794240\", alpha=\"0.20\", expect_size=\"37917696\"] \n  14 -> 20 [size =\"37917696\"]\n  14 -> 24 [size =\"37917696\"]\n  14 -> 26 [size =\"37917696\"]\n  15 [size=\"88115200\", alpha=\"0.08\", expect_size=\"35246080\"] \n  15 -> 19 [size =\"35246080\"]\n  15 -> 20 [size =\"35246080\"]\n  15 -> 21 [size =\"35246080\"]\n  15 -> 24 [size =\"35246080\"]\n  15 -> 26 [size =\"35246080\"]\n  15 -> 27 [size =\"35246080\"]\n  16 [size=\"58519040\", alpha=\"0.17\", expect_size=\"23407616\"] \n  16 -> 19 [size =\"23407616\"]\n  16 -> 21 [size =\"23407616\"]\n  16 -> 23 [size =\"23407616\"]\n  17 [size=\"16225280\", alpha=\"0.00\", expect_size=\"6490112\"] \n  17 -> 20 [size =\"6490112\"]\n  17 -> 26 [size =\"6490112\"]\n  17 -> 27 [size =\"6490112\"]\n  18 [size=\"15918080\", alpha=\"0.09\", expect_size=\"6367232\"] \n  18 -> 21 [size =\"6367232\"]\n  18 -> 24 [size =\"6367232\"]\n  18 -> 27 [size =\"6367232\"]\n  18 -> 28 [size =\"6367232\"]\n  19 [size=\"88238080\", alpha=\"0.13\", expect_size=\"35295232\"] \n  19 -> 30 [size =\"35295232\"]\n  19 -> 32 [size =\"35295232\"]\n  19 -> 36 [size =\"35295232\"]\n  20 [size=\"20477440\", alpha=\"0.06\", expect_size=\"8190976\"] \n  20 -> 29 [size =\"8190976\"]\n  20 -> 32 [size =\"8190976\"]\n  20 -> 35 [size =\"8190976\"]\n  20 -> 40 [size =\"8190976\"]\n  21 [size=\"102592000\", alpha=\"0.04\", expect_size=\"41036800\"] \n  21 -> 29 [size =\"41036800\"]\n  21 -> 36 [size =\"41036800\"]\n  22 [size=\"75898880\", alpha=\"0.13\", expect_size=\"30359552\"] \n  22 -> 29 [size =\"30359552\"]\n  22 -> 31 [size =\"30359552\"]\n  22 -> 32 [size =\"30359552\"]\n  22 -> 34 [size =\"30359552\"]\n  22 -> 35 [size =\"30359552\"]\n  22 -> 40 [size =\"30359552\"]\n  23 [size=\"35118080\", alpha=\"0.14\", expect_size=\"14047232\"] \n  23 -> 29 [size =\"14047232\"]\n  23 -> 32 [size =\"14047232\"]\n  23 -> 40 [size =\"14047232\"]\n  24 [size=\"126415360\", alpha=\"0.14\", expect_size=\"50566144\"] \n  24 -> 29 [size =\"50566144\"]\n  24 -> 34 [size =\"50566144\"]\n  24 -> 35 [size =\"50566144\"]\n  24 -> 36 [size =\"50566144\"]\n  24 -> 38 [size =\"50566144\"]\n  24 -> 40 [size =\"50566144\"]\n  25 [size=\"124579840\", alpha=\"0.17\", expect_size=\"49831936\"] \n  25 -> 29 [size =\"49831936\"]\n  25 -> 32 [size =\"49831936\"]\n  25 -> 35 [size =\"49831936\"]\n  25 -> 36 [size =\"49831936\"]\n  25 -> 37 [size =\"49831936\"]\n  25 -> 39 [size =\"49831936\"]\n  26 [size=\"56399360\", alpha=\"0.03\", expect_size=\"22559744\"] \n  26 -> 30 [size =\"22559744\"]\n  26 -> 32 [size =\"22559744\"]\n  26 -> 33 [size =\"22559744\"]\n  26 -> 34 [size =\"22559744\"]\n  27 [size=\"37460480\", alpha=\"0.18\", expect_size=\"14984192\"] \n  27 -> 30 [size =\"14984192\"]\n  27 -> 33 [size =\"14984192\"]\n  27 -> 37 [size =\"14984192\"]\n  28 [size=\"39001600\", alpha=\"0.15\", expect_size=\"15600640\"] \n  28 -> 35 [size =\"15600640\"]\n  29 [size=\"92247040\", alpha=\"0.17\", expect_size=\"36898816\"] \n  30 [size=\"52879360\", alpha=\"0.07\", expect_size=\"21151744\"] \n  31 [size=\"88168960\", alpha=\"0.04\", expect_size=\"35267584\"] \n  32 [size=\"111293440\", alpha=\"0.14\", expect_size=\"44517376\"] \n  33 [size=\"71536640\", alpha=\"0.14\", expect_size=\"28614656\"] \n  34 [size=\"35955200\", alpha=\"0.07\", expect_size=\"14382080\"] \n  35 [size=\"121167360\", alpha=\"0.14\", expect_size=\"48466944\"] \n  36 [size=\"104947200\", alpha=\"0.08\", expect_size=\"41978880\"] \n  37 [size=\"121600000\", alpha=\"0.02\", expect_size=\"48640000\"] \n  38 [size=\"112038400\", alpha=\"0.17\", expect_size=\"44815360\"] \n  39 [size=\"81881600\", alpha=\"0.05\", expect_size=\"32752640\"] \n  40 [size=\"66460160\", alpha=\"0.14\", expect_size=\"26584064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24040960\", alpha=\"0.00\", expect_size=\"9616384\"] \n  1 -> 13 [size =\"9616384\"]\n  1 -> 13 [size =\"9616384\"]\n  1 -> 14 [size =\"9616384\"]\n  1 -> 18 [size =\"9616384\"]\n  1 -> 24 [size =\"9616384\"]\n  2 [size=\"18787840\", alpha=\"0.20\", expect_size=\"7515136\"] \n  2 -> 16 [size =\"7515136\"]\n  2 -> 20 [size =\"7515136\"]\n  2 -> 21 [size =\"7515136\"]\n  2 -> 23 [size =\"7515136\"]\n  2 -> 24 [size =\"7515136\"]\n  3 [size=\"15518720\", alpha=\"0.19\", expect_size=\"6207488\"] \n  3 -> 17 [size =\"6207488\"]\n  3 -> 18 [size =\"6207488\"]\n  3 -> 19 [size =\"6207488\"]\n  3 -> 20 [size =\"6207488\"]\n  3 -> 21 [size =\"6207488\"]\n  3 -> 23 [size =\"6207488\"]\n  3 -> 25 [size =\"6207488\"]\n  4 [size=\"71111680\", alpha=\"0.14\", expect_size=\"28444672\"] \n  4 -> 17 [size =\"28444672\"]\n  4 -> 19 [size =\"28444672\"]\n  4 -> 23 [size =\"28444672\"]\n  4 -> 24 [size =\"28444672\"]\n  4 -> 25 [size =\"28444672\"]\n  5 [size=\"115056640\", alpha=\"0.09\", expect_size=\"46022656\"] \n  5 -> 12 [size =\"46022656\"]\n  5 -> 23 [size =\"46022656\"]\n  5 -> 24 [size =\"46022656\"]\n  5 -> 25 [size =\"46022656\"]\n  6 [size=\"88330240\", alpha=\"0.11\", expect_size=\"35332096\"] \n  6 -> 14 [size =\"35332096\"]\n  6 -> 19 [size =\"35332096\"]\n  6 -> 24 [size =\"35332096\"]\n  7 [size=\"101893120\", alpha=\"0.18\", expect_size=\"40757248\"] \n  8 [size=\"126359040\", alpha=\"0.17\", expect_size=\"50543616\"] \n  8 -> 13 [size =\"50543616\"]\n  8 -> 15 [size =\"50543616\"]\n  8 -> 19 [size =\"50543616\"]\n  8 -> 21 [size =\"50543616\"]\n  8 -> 23 [size =\"50543616\"]\n  9 [size=\"14080000\", alpha=\"0.17\", expect_size=\"5632000\"] \n  9 -> 16 [size =\"5632000\"]\n  9 -> 18 [size =\"5632000\"]\n  9 -> 19 [size =\"5632000\"]\n  9 -> 21 [size =\"5632000\"]\n  9 -> 25 [size =\"5632000\"]\n  10 [size=\"91274240\", alpha=\"0.12\", expect_size=\"36509696\"] \n  10 -> 15 [size =\"36509696\"]\n  10 -> 16 [size =\"36509696\"]\n  10 -> 20 [size =\"36509696\"]\n  10 -> 22 [size =\"36509696\"]\n  10 -> 25 [size =\"36509696\"]\n  11 [size=\"76720640\", alpha=\"0.14\", expect_size=\"30688256\"] \n  11 -> 12 [size =\"30688256\"]\n  11 -> 13 [size =\"30688256\"]\n  11 -> 16 [size =\"30688256\"]\n  11 -> 19 [size =\"30688256\"]\n  11 -> 21 [size =\"30688256\"]\n  12 [size=\"79098880\", alpha=\"0.18\", expect_size=\"31639552\"] \n  12 -> 29 [size =\"31639552\"]\n  12 -> 34 [size =\"31639552\"]\n  13 [size=\"78210560\", alpha=\"0.09\", expect_size=\"31284224\"] \n  13 -> 27 [size =\"31284224\"]\n  13 -> 31 [size =\"31284224\"]\n  13 -> 33 [size =\"31284224\"]\n  13 -> 34 [size =\"31284224\"]\n  13 -> 35 [size =\"31284224\"]\n  13 -> 36 [size =\"31284224\"]\n  13 -> 37 [size =\"31284224\"]\n  14 [size=\"71649280\", alpha=\"0.11\", expect_size=\"28659712\"] \n  14 -> 27 [size =\"28659712\"]\n  14 -> 29 [size =\"28659712\"]\n  14 -> 34 [size =\"28659712\"]\n  15 [size=\"35627520\", alpha=\"0.01\", expect_size=\"14251008\"] \n  15 -> 35 [size =\"14251008\"]\n  15 -> 36 [size =\"14251008\"]\n  15 -> 38 [size =\"14251008\"]\n  16 [size=\"90713600\", alpha=\"0.10\", expect_size=\"36285440\"] \n  16 -> 29 [size =\"36285440\"]\n  16 -> 30 [size =\"36285440\"]\n  16 -> 35 [size =\"36285440\"]\n  16 -> 38 [size =\"36285440\"]\n  16 -> 40 [size =\"36285440\"]\n  17 [size=\"39150080\", alpha=\"0.18\", expect_size=\"15660032\"] \n  17 -> 28 [size =\"15660032\"]\n  17 -> 29 [size =\"15660032\"]\n  17 -> 33 [size =\"15660032\"]\n  17 -> 35 [size =\"15660032\"]\n  18 [size=\"29283840\", alpha=\"0.08\", expect_size=\"11713536\"] \n  18 -> 28 [size =\"11713536\"]\n  18 -> 30 [size =\"11713536\"]\n  18 -> 31 [size =\"11713536\"]\n  18 -> 32 [size =\"11713536\"]\n  18 -> 34 [size =\"11713536\"]\n  18 -> 37 [size =\"11713536\"]\n  19 [size=\"130508800\", alpha=\"0.08\", expect_size=\"52203520\"] \n  19 -> 28 [size =\"52203520\"]\n  19 -> 30 [size =\"52203520\"]\n  19 -> 31 [size =\"52203520\"]\n  19 -> 33 [size =\"52203520\"]\n  19 -> 37 [size =\"52203520\"]\n  19 -> 38 [size =\"52203520\"]\n  19 -> 40 [size =\"52203520\"]\n  20 [size=\"111918080\", alpha=\"0.13\", expect_size=\"44767232\"] \n  20 -> 31 [size =\"44767232\"]\n  20 -> 37 [size =\"44767232\"]\n  21 [size=\"63083520\", alpha=\"0.01\", expect_size=\"25233408\"] \n  21 -> 27 [size =\"25233408\"]\n  21 -> 31 [size =\"25233408\"]\n  21 -> 33 [size =\"25233408\"]\n  21 -> 35 [size =\"25233408\"]\n  21 -> 37 [size =\"25233408\"]\n  21 -> 38 [size =\"25233408\"]\n  22 [size=\"29752320\", alpha=\"0.09\", expect_size=\"11900928\"] \n  22 -> 31 [size =\"11900928\"]\n  22 -> 38 [size =\"11900928\"]\n  23 [size=\"15216640\", alpha=\"0.18\", expect_size=\"6086656\"] \n  23 -> 27 [size =\"6086656\"]\n  23 -> 32 [size =\"6086656\"]\n  23 -> 37 [size =\"6086656\"]\n  24 [size=\"69862400\", alpha=\"0.16\", expect_size=\"27944960\"] \n  24 -> 27 [size =\"27944960\"]\n  24 -> 28 [size =\"27944960\"]\n  24 -> 34 [size =\"27944960\"]\n  24 -> 36 [size =\"27944960\"]\n  24 -> 39 [size =\"27944960\"]\n  25 [size=\"17287680\", alpha=\"0.12\", expect_size=\"6915072\"] \n  25 -> 26 [size =\"6915072\"]\n  25 -> 28 [size =\"6915072\"]\n  25 -> 29 [size =\"6915072\"]\n  25 -> 32 [size =\"6915072\"]\n  25 -> 35 [size =\"6915072\"]\n  25 -> 37 [size =\"6915072\"]\n  25 -> 40 [size =\"6915072\"]\n  26 [size=\"21135360\", alpha=\"0.01\", expect_size=\"8454144\"] \n  27 [size=\"79367680\", alpha=\"0.05\", expect_size=\"31747072\"] \n  28 [size=\"67240960\", alpha=\"0.08\", expect_size=\"26896384\"] \n  29 [size=\"114703360\", alpha=\"0.11\", expect_size=\"45881344\"] \n  30 [size=\"42270720\", alpha=\"0.07\", expect_size=\"16908288\"] \n  31 [size=\"120583680\", alpha=\"0.14\", expect_size=\"48233472\"] \n  32 [size=\"124643840\", alpha=\"0.12\", expect_size=\"49857536\"] \n  33 [size=\"60134400\", alpha=\"0.02\", expect_size=\"24053760\"] \n  34 [size=\"47434240\", alpha=\"0.01\", expect_size=\"18973696\"] \n  35 [size=\"26583040\", alpha=\"0.04\", expect_size=\"10633216\"] \n  36 [size=\"99532800\", alpha=\"0.00\", expect_size=\"39813120\"] \n  37 [size=\"105576960\", alpha=\"0.01\", expect_size=\"42230784\"] \n  38 [size=\"15539200\", alpha=\"0.04\", expect_size=\"6215680\"] \n  39 [size=\"60636160\", alpha=\"0.08\", expect_size=\"24254464\"] \n  40 [size=\"123880960\", alpha=\"0.08\", expect_size=\"49552384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33728000\", alpha=\"0.14\", expect_size=\"13491200\"] \n  1 -> 2 [size =\"13491200\"]\n  2 [size=\"41364480\", alpha=\"0.01\", expect_size=\"16545792\"] \n  2 -> 3 [size =\"16545792\"]\n  3 [size=\"69186560\", alpha=\"0.06\", expect_size=\"27674624\"] \n  3 -> 4 [size =\"27674624\"]\n  4 [size=\"63664640\", alpha=\"0.14\", expect_size=\"25465856\"] \n  4 -> 5 [size =\"25465856\"]\n  5 [size=\"116229120\", alpha=\"0.07\", expect_size=\"46491648\"] \n  5 -> 6 [size =\"46491648\"]\n  6 [size=\"81195520\", alpha=\"0.19\", expect_size=\"32478208\"] \n  6 -> 7 [size =\"32478208\"]\n  7 [size=\"112724480\", alpha=\"0.07\", expect_size=\"45089792\"] \n  7 -> 8 [size =\"45089792\"]\n  8 [size=\"125639680\", alpha=\"0.01\", expect_size=\"50255872\"] \n  8 -> 9 [size =\"50255872\"]\n  9 [size=\"81704960\", alpha=\"0.02\", expect_size=\"32681984\"] \n  9 -> 10 [size =\"32681984\"]\n  10 [size=\"81955840\", alpha=\"0.08\", expect_size=\"32782336\"] \n  10 -> 11 [size =\"32782336\"]\n  11 [size=\"47528960\", alpha=\"0.15\", expect_size=\"19011584\"] \n  11 -> 12 [size =\"19011584\"]\n  12 [size=\"130388480\", alpha=\"0.01\", expect_size=\"52155392\"] \n  12 -> 13 [size =\"52155392\"]\n  13 [size=\"15856640\", alpha=\"0.12\", expect_size=\"6342656\"] \n  13 -> 14 [size =\"6342656\"]\n  14 [size=\"52692480\", alpha=\"0.03\", expect_size=\"21076992\"] \n  14 -> 15 [size =\"21076992\"]\n  15 [size=\"15828480\", alpha=\"0.15\", expect_size=\"6331392\"] \n  15 -> 16 [size =\"6331392\"]\n  16 [size=\"58990080\", alpha=\"0.08\", expect_size=\"23596032\"] \n  16 -> 17 [size =\"23596032\"]\n  17 [size=\"53457920\", alpha=\"0.12\", expect_size=\"21383168\"] \n  17 -> 18 [size =\"21383168\"]\n  18 [size=\"94574080\", alpha=\"0.06\", expect_size=\"37829632\"] \n  18 -> 19 [size =\"37829632\"]\n  19 [size=\"99863040\", alpha=\"0.16\", expect_size=\"39945216\"] \n  19 -> 20 [size =\"39945216\"]\n  20 [size=\"108979200\", alpha=\"0.03\", expect_size=\"43591680\"] \n  20 -> 21 [size =\"43591680\"]\n  21 [size=\"38796800\", alpha=\"0.13\", expect_size=\"15518720\"] \n  21 -> 22 [size =\"15518720\"]\n  22 [size=\"126960640\", alpha=\"0.08\", expect_size=\"50784256\"] \n  22 -> 23 [size =\"50784256\"]\n  23 [size=\"15869440\", alpha=\"0.12\", expect_size=\"6347776\"] \n  23 -> 24 [size =\"6347776\"]\n  24 [size=\"86049280\", alpha=\"0.05\", expect_size=\"34419712\"] \n  24 -> 25 [size =\"34419712\"]\n  25 [size=\"105180160\", alpha=\"0.15\", expect_size=\"42072064\"] \n  25 -> 26 [size =\"42072064\"]\n  26 [size=\"78008320\", alpha=\"0.17\", expect_size=\"31203328\"] \n  26 -> 27 [size =\"31203328\"]\n  27 [size=\"127925760\", alpha=\"0.16\", expect_size=\"51170304\"] \n  27 -> 28 [size =\"51170304\"]\n  28 [size=\"82237440\", alpha=\"0.14\", expect_size=\"32894976\"] \n  28 -> 29 [size =\"32894976\"]\n  29 [size=\"116520960\", alpha=\"0.03\", expect_size=\"46608384\"] \n  29 -> 30 [size =\"46608384\"]\n  30 [size=\"94658560\", alpha=\"0.04\", expect_size=\"37863424\"] \n  30 -> 31 [size =\"37863424\"]\n  31 [size=\"111142400\", alpha=\"0.11\", expect_size=\"44456960\"] \n  31 -> 32 [size =\"44456960\"]\n  32 [size=\"68628480\", alpha=\"0.18\", expect_size=\"27451392\"] \n  32 -> 33 [size =\"27451392\"]\n  33 [size=\"113344000\", alpha=\"0.06\", expect_size=\"45337600\"] \n  33 -> 34 [size =\"45337600\"]\n  34 [size=\"65438720\", alpha=\"0.20\", expect_size=\"26175488\"] \n  34 -> 35 [size =\"26175488\"]\n  35 [size=\"93434880\", alpha=\"0.14\", expect_size=\"37373952\"] \n  35 -> 36 [size =\"37373952\"]\n  36 [size=\"64524800\", alpha=\"0.16\", expect_size=\"25809920\"] \n  36 -> 37 [size =\"25809920\"]\n  37 [size=\"46796800\", alpha=\"0.06\", expect_size=\"18718720\"] \n  37 -> 38 [size =\"18718720\"]\n  38 [size=\"21905920\", alpha=\"0.09\", expect_size=\"8762368\"] \n  38 -> 39 [size =\"8762368\"]\n  39 [size=\"102387200\", alpha=\"0.06\", expect_size=\"40954880\"] \n  39 -> 40 [size =\"40954880\"]\n  40 [size=\"120903680\", alpha=\"0.00\", expect_size=\"48361472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116055040\", alpha=\"0.04\", expect_size=\"46422016\"] \n  1 -> 2 [size =\"46422016\"]\n  2 [size=\"91786240\", alpha=\"0.18\", expect_size=\"36714496\"] \n  2 -> 3 [size =\"36714496\"]\n  3 [size=\"125248000\", alpha=\"0.08\", expect_size=\"50099200\"] \n  3 -> 4 [size =\"50099200\"]\n  4 [size=\"128158720\", alpha=\"0.02\", expect_size=\"51263488\"] \n  4 -> 5 [size =\"51263488\"]\n  5 [size=\"52925440\", alpha=\"0.06\", expect_size=\"21170176\"] \n  5 -> 6 [size =\"21170176\"]\n  6 [size=\"102594560\", alpha=\"0.11\", expect_size=\"41037824\"] \n  6 -> 7 [size =\"41037824\"]\n  7 [size=\"91036160\", alpha=\"0.01\", expect_size=\"36414464\"] \n  7 -> 8 [size =\"36414464\"]\n  8 [size=\"20098560\", alpha=\"0.02\", expect_size=\"8039424\"] \n  8 -> 9 [size =\"8039424\"]\n  9 [size=\"124149760\", alpha=\"0.13\", expect_size=\"49659904\"] \n  9 -> 10 [size =\"49659904\"]\n  10 [size=\"46978560\", alpha=\"0.09\", expect_size=\"18791424\"] \n  10 -> 11 [size =\"18791424\"]\n  11 [size=\"41274880\", alpha=\"0.07\", expect_size=\"16509952\"] \n  11 -> 12 [size =\"16509952\"]\n  12 [size=\"67566080\", alpha=\"0.09\", expect_size=\"27026432\"] \n  12 -> 13 [size =\"27026432\"]\n  13 [size=\"56291840\", alpha=\"0.18\", expect_size=\"22516736\"] \n  13 -> 14 [size =\"22516736\"]\n  14 [size=\"104005120\", alpha=\"0.13\", expect_size=\"41602048\"] \n  14 -> 15 [size =\"41602048\"]\n  15 [size=\"117870080\", alpha=\"0.14\", expect_size=\"47148032\"] \n  15 -> 16 [size =\"47148032\"]\n  16 [size=\"33241600\", alpha=\"0.14\", expect_size=\"13296640\"] \n  16 -> 17 [size =\"13296640\"]\n  17 [size=\"100224000\", alpha=\"0.08\", expect_size=\"40089600\"] \n  17 -> 18 [size =\"40089600\"]\n  18 [size=\"105740800\", alpha=\"0.05\", expect_size=\"42296320\"] \n  18 -> 19 [size =\"42296320\"]\n  19 [size=\"117160960\", alpha=\"0.00\", expect_size=\"46864384\"] \n  19 -> 20 [size =\"46864384\"]\n  20 [size=\"75607040\", alpha=\"0.09\", expect_size=\"30242816\"] \n  20 -> 21 [size =\"30242816\"]\n  21 [size=\"128634880\", alpha=\"0.16\", expect_size=\"51453952\"] \n  21 -> 22 [size =\"51453952\"]\n  22 [size=\"52930560\", alpha=\"0.16\", expect_size=\"21172224\"] \n  22 -> 23 [size =\"21172224\"]\n  23 [size=\"107563520\", alpha=\"0.15\", expect_size=\"43025408\"] \n  23 -> 24 [size =\"43025408\"]\n  24 [size=\"97067520\", alpha=\"0.13\", expect_size=\"38827008\"] \n  24 -> 25 [size =\"38827008\"]\n  25 [size=\"55206400\", alpha=\"0.18\", expect_size=\"22082560\"] \n  25 -> 26 [size =\"22082560\"]\n  26 [size=\"18621440\", alpha=\"0.19\", expect_size=\"7448576\"] \n  26 -> 27 [size =\"7448576\"]\n  27 [size=\"101148160\", alpha=\"0.12\", expect_size=\"40459264\"] \n  27 -> 28 [size =\"40459264\"]\n  28 [size=\"27909120\", alpha=\"0.07\", expect_size=\"11163648\"] \n  28 -> 29 [size =\"11163648\"]\n  29 [size=\"56133120\", alpha=\"0.01\", expect_size=\"22453248\"] \n  29 -> 30 [size =\"22453248\"]\n  30 [size=\"57612800\", alpha=\"0.00\", expect_size=\"23045120\"] \n  30 -> 31 [size =\"23045120\"]\n  31 [size=\"112931840\", alpha=\"0.04\", expect_size=\"45172736\"] \n  31 -> 32 [size =\"45172736\"]\n  32 [size=\"89111040\", alpha=\"0.18\", expect_size=\"35644416\"] \n  32 -> 33 [size =\"35644416\"]\n  33 [size=\"64829440\", alpha=\"0.18\", expect_size=\"25931776\"] \n  33 -> 34 [size =\"25931776\"]\n  34 [size=\"34268160\", alpha=\"0.14\", expect_size=\"13707264\"] \n  34 -> 35 [size =\"13707264\"]\n  35 [size=\"112481280\", alpha=\"0.08\", expect_size=\"44992512\"] \n  35 -> 36 [size =\"44992512\"]\n  36 [size=\"103352320\", alpha=\"0.05\", expect_size=\"41340928\"] \n  36 -> 37 [size =\"41340928\"]\n  37 [size=\"96376320\", alpha=\"0.17\", expect_size=\"38550528\"] \n  37 -> 38 [size =\"38550528\"]\n  38 [size=\"51514880\", alpha=\"0.05\", expect_size=\"20605952\"] \n  38 -> 39 [size =\"20605952\"]\n  39 [size=\"93726720\", alpha=\"0.10\", expect_size=\"37490688\"] \n  39 -> 40 [size =\"37490688\"]\n  40 [size=\"98124800\", alpha=\"0.06\", expect_size=\"39249920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31051093\", alpha=\"0.07\", expect_size=\"9315328\"] \n  1 -> 34 [size =\"9315328\"]\n  1 -> 35 [size =\"9315328\"]\n  1 -> 37 [size =\"9315328\"]\n  1 -> 39 [size =\"9315328\"]\n  2 [size=\"80735573\", alpha=\"0.07\", expect_size=\"24220672\"] \n  2 -> 35 [size =\"24220672\"]\n  2 -> 37 [size =\"24220672\"]\n  2 -> 39 [size =\"24220672\"]\n  3 [size=\"129576960\", alpha=\"0.12\", expect_size=\"38873088\"] \n  3 -> 37 [size =\"38873088\"]\n  4 [size=\"110226773\", alpha=\"0.06\", expect_size=\"33068032\"] \n  4 -> 34 [size =\"33068032\"]\n  4 -> 36 [size =\"33068032\"]\n  5 [size=\"120968533\", alpha=\"0.14\", expect_size=\"36290560\"] \n  5 -> 39 [size =\"36290560\"]\n  6 [size=\"99263147\", alpha=\"0.12\", expect_size=\"29778944\"] \n  6 -> 34 [size =\"29778944\"]\n  7 [size=\"150691840\", alpha=\"0.04\", expect_size=\"45207552\"] \n  7 -> 36 [size =\"45207552\"]\n  7 -> 40 [size =\"45207552\"]\n  8 [size=\"79418027\", alpha=\"0.08\", expect_size=\"23825408\"] \n  9 [size=\"47059627\", alpha=\"0.17\", expect_size=\"14117888\"] \n  9 -> 36 [size =\"14117888\"]\n  10 [size=\"109666987\", alpha=\"0.11\", expect_size=\"32900096\"] \n  10 -> 37 [size =\"32900096\"]\n  10 -> 39 [size =\"32900096\"]\n  11 [size=\"171441493\", alpha=\"0.19\", expect_size=\"51432448\"] \n  11 -> 34 [size =\"51432448\"]\n  11 -> 39 [size =\"51432448\"]\n  12 [size=\"71359147\", alpha=\"0.09\", expect_size=\"21407744\"] \n  12 -> 39 [size =\"21407744\"]\n  13 [size=\"124020053\", alpha=\"0.16\", expect_size=\"37206016\"] \n  13 -> 34 [size =\"37206016\"]\n  14 [size=\"64071680\", alpha=\"0.18\", expect_size=\"19221504\"] \n  14 -> 39 [size =\"19221504\"]\n  15 [size=\"109943467\", alpha=\"0.12\", expect_size=\"32983040\"] \n  15 -> 39 [size =\"32983040\"]\n  15 -> 40 [size =\"32983040\"]\n  16 [size=\"62306987\", alpha=\"0.20\", expect_size=\"18692096\"] \n  16 -> 40 [size =\"18692096\"]\n  16 -> 40 [size =\"18692096\"]\n  17 [size=\"156610560\", alpha=\"0.09\", expect_size=\"46983168\"] \n  18 [size=\"31515307\", alpha=\"0.17\", expect_size=\"9454592\"] \n  18 -> 35 [size =\"9454592\"]\n  18 -> 37 [size =\"9454592\"]\n  19 [size=\"96116053\", alpha=\"0.12\", expect_size=\"28834816\"] \n  19 -> 35 [size =\"28834816\"]\n  20 [size=\"71028053\", alpha=\"0.15\", expect_size=\"21308416\"] \n  20 -> 34 [size =\"21308416\"]\n  20 -> 35 [size =\"21308416\"]\n  20 -> 36 [size =\"21308416\"]\n  21 [size=\"160098987\", alpha=\"0.19\", expect_size=\"48029696\"] \n  22 [size=\"150251520\", alpha=\"0.11\", expect_size=\"45075456\"] \n  23 [size=\"60183893\", alpha=\"0.18\", expect_size=\"18055168\"] \n  23 -> 36 [size =\"18055168\"]\n  23 -> 39 [size =\"18055168\"]\n  24 [size=\"26231467\", alpha=\"0.16\", expect_size=\"7869440\"] \n  24 -> 34 [size =\"7869440\"]\n  24 -> 37 [size =\"7869440\"]\n  25 [size=\"164410027\", alpha=\"0.07\", expect_size=\"49323008\"] \n  25 -> 34 [size =\"49323008\"]\n  26 [size=\"98129920\", alpha=\"0.09\", expect_size=\"29438976\"] \n  26 -> 34 [size =\"29438976\"]\n  26 -> 36 [size =\"29438976\"]\n  26 -> 40 [size =\"29438976\"]\n  27 [size=\"95986347\", alpha=\"0.08\", expect_size=\"28795904\"] \n  28 [size=\"167253333\", alpha=\"0.15\", expect_size=\"50176000\"] \n  28 -> 35 [size =\"50176000\"]\n  28 -> 40 [size =\"50176000\"]\n  29 [size=\"140277760\", alpha=\"0.05\", expect_size=\"42083328\"] \n  29 -> 37 [size =\"42083328\"]\n  30 [size=\"79776427\", alpha=\"0.07\", expect_size=\"23932928\"] \n  30 -> 34 [size =\"23932928\"]\n  30 -> 36 [size =\"23932928\"]\n  30 -> 39 [size =\"23932928\"]\n  31 [size=\"38587733\", alpha=\"0.09\", expect_size=\"11576320\"] \n  31 -> 34 [size =\"11576320\"]\n  31 -> 36 [size =\"11576320\"]\n  32 [size=\"30289920\", alpha=\"0.17\", expect_size=\"9086976\"] \n  32 -> 34 [size =\"9086976\"]\n  32 -> 36 [size =\"9086976\"]\n  32 -> 37 [size =\"9086976\"]\n  33 [size=\"118142293\", alpha=\"0.20\", expect_size=\"35442688\"] \n  33 -> 35 [size =\"35442688\"]\n  33 -> 38 [size =\"35442688\"]\n  33 -> 39 [size =\"35442688\"]\n  34 [size=\"99672747\", alpha=\"0.08\", expect_size=\"29901824\"] \n  35 [size=\"67638613\", alpha=\"0.07\", expect_size=\"20291584\"] \n  36 [size=\"125532160\", alpha=\"0.13\", expect_size=\"37659648\"] \n  37 [size=\"40564053\", alpha=\"0.16\", expect_size=\"12169216\"] \n  38 [size=\"103236267\", alpha=\"0.01\", expect_size=\"30970880\"] \n  39 [size=\"60928000\", alpha=\"0.16\", expect_size=\"18278400\"] \n  40 [size=\"100502187\", alpha=\"0.18\", expect_size=\"30150656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53708800\", alpha=\"0.14\", expect_size=\"16112640\"] \n  1 -> 20 [size =\"16112640\"]\n  1 -> 21 [size =\"16112640\"]\n  1 -> 25 [size =\"16112640\"]\n  1 -> 26 [size =\"16112640\"]\n  2 [size=\"84053333\", alpha=\"0.00\", expect_size=\"25216000\"] \n  2 -> 13 [size =\"25216000\"]\n  2 -> 15 [size =\"25216000\"]\n  2 -> 19 [size =\"25216000\"]\n  2 -> 23 [size =\"25216000\"]\n  2 -> 26 [size =\"25216000\"]\n  3 [size=\"38864213\", alpha=\"0.08\", expect_size=\"11659264\"] \n  3 -> 14 [size =\"11659264\"]\n  3 -> 15 [size =\"11659264\"]\n  3 -> 17 [size =\"11659264\"]\n  3 -> 19 [size =\"11659264\"]\n  3 -> 20 [size =\"11659264\"]\n  3 -> 23 [size =\"11659264\"]\n  3 -> 25 [size =\"11659264\"]\n  3 -> 26 [size =\"11659264\"]\n  4 [size=\"79308800\", alpha=\"0.12\", expect_size=\"23792640\"] \n  4 -> 14 [size =\"23792640\"]\n  4 -> 16 [size =\"23792640\"]\n  4 -> 19 [size =\"23792640\"]\n  4 -> 20 [size =\"23792640\"]\n  4 -> 20 [size =\"23792640\"]\n  4 -> 21 [size =\"23792640\"]\n  4 -> 25 [size =\"23792640\"]\n  5 [size=\"105226240\", alpha=\"0.16\", expect_size=\"31567872\"] \n  5 -> 14 [size =\"31567872\"]\n  5 -> 19 [size =\"31567872\"]\n  5 -> 21 [size =\"31567872\"]\n  5 -> 22 [size =\"31567872\"]\n  5 -> 24 [size =\"31567872\"]\n  5 -> 25 [size =\"31567872\"]\n  6 [size=\"162242560\", alpha=\"0.11\", expect_size=\"48672768\"] \n  6 -> 13 [size =\"48672768\"]\n  6 -> 14 [size =\"48672768\"]\n  6 -> 21 [size =\"48672768\"]\n  6 -> 25 [size =\"48672768\"]\n  6 -> 26 [size =\"48672768\"]\n  6 -> 27 [size =\"48672768\"]\n  7 [size=\"112933547\", alpha=\"0.17\", expect_size=\"33880064\"] \n  7 -> 14 [size =\"33880064\"]\n  7 -> 15 [size =\"33880064\"]\n  7 -> 17 [size =\"33880064\"]\n  7 -> 20 [size =\"33880064\"]\n  7 -> 21 [size =\"33880064\"]\n  7 -> 23 [size =\"33880064\"]\n  7 -> 25 [size =\"33880064\"]\n  8 [size=\"74922667\", alpha=\"0.03\", expect_size=\"22476800\"] \n  8 -> 15 [size =\"22476800\"]\n  8 -> 16 [size =\"22476800\"]\n  8 -> 17 [size =\"22476800\"]\n  8 -> 20 [size =\"22476800\"]\n  8 -> 22 [size =\"22476800\"]\n  8 -> 24 [size =\"22476800\"]\n  9 [size=\"99348480\", alpha=\"0.17\", expect_size=\"29804544\"] \n  9 -> 15 [size =\"29804544\"]\n  9 -> 16 [size =\"29804544\"]\n  9 -> 17 [size =\"29804544\"]\n  9 -> 18 [size =\"29804544\"]\n  9 -> 19 [size =\"29804544\"]\n  9 -> 20 [size =\"29804544\"]\n  9 -> 22 [size =\"29804544\"]\n  9 -> 25 [size =\"29804544\"]\n  9 -> 26 [size =\"29804544\"]\n  9 -> 27 [size =\"29804544\"]\n  10 [size=\"168768853\", alpha=\"0.01\", expect_size=\"50630656\"] \n  10 -> 13 [size =\"50630656\"]\n  10 -> 14 [size =\"50630656\"]\n  10 -> 15 [size =\"50630656\"]\n  10 -> 19 [size =\"50630656\"]\n  10 -> 21 [size =\"50630656\"]\n  10 -> 24 [size =\"50630656\"]\n  10 -> 26 [size =\"50630656\"]\n  11 [size=\"170298027\", alpha=\"0.07\", expect_size=\"51089408\"] \n  11 -> 14 [size =\"51089408\"]\n  11 -> 15 [size =\"51089408\"]\n  11 -> 17 [size =\"51089408\"]\n  11 -> 19 [size =\"51089408\"]\n  11 -> 22 [size =\"51089408\"]\n  11 -> 23 [size =\"51089408\"]\n  11 -> 24 [size =\"51089408\"]\n  11 -> 26 [size =\"51089408\"]\n  12 [size=\"124695893\", alpha=\"0.04\", expect_size=\"37408768\"] \n  12 -> 20 [size =\"37408768\"]\n  12 -> 21 [size =\"37408768\"]\n  12 -> 23 [size =\"37408768\"]\n  12 -> 26 [size =\"37408768\"]\n  13 [size=\"128406187\", alpha=\"0.02\", expect_size=\"38521856\"] \n  13 -> 29 [size =\"38521856\"]\n  13 -> 31 [size =\"38521856\"]\n  13 -> 32 [size =\"38521856\"]\n  13 -> 34 [size =\"38521856\"]\n  13 -> 35 [size =\"38521856\"]\n  14 [size=\"33075200\", alpha=\"0.05\", expect_size=\"9922560\"] \n  14 -> 31 [size =\"9922560\"]\n  14 -> 33 [size =\"9922560\"]\n  14 -> 34 [size =\"9922560\"]\n  15 [size=\"129877333\", alpha=\"0.16\", expect_size=\"38963200\"] \n  16 [size=\"96768000\", alpha=\"0.05\", expect_size=\"29030400\"] \n  16 -> 29 [size =\"29030400\"]\n  16 -> 31 [size =\"29030400\"]\n  16 -> 32 [size =\"29030400\"]\n  16 -> 34 [size =\"29030400\"]\n  16 -> 35 [size =\"29030400\"]\n  17 [size=\"29037227\", alpha=\"0.08\", expect_size=\"8711168\"] \n  17 -> 28 [size =\"8711168\"]\n  17 -> 29 [size =\"8711168\"]\n  17 -> 31 [size =\"8711168\"]\n  17 -> 32 [size =\"8711168\"]\n  17 -> 34 [size =\"8711168\"]\n  18 [size=\"159184213\", alpha=\"0.00\", expect_size=\"47755264\"] \n  18 -> 32 [size =\"47755264\"]\n  18 -> 34 [size =\"47755264\"]\n  19 [size=\"28504747\", alpha=\"0.04\", expect_size=\"8551424\"] \n  19 -> 34 [size =\"8551424\"]\n  20 [size=\"161286827\", alpha=\"0.03\", expect_size=\"48386048\"] \n  20 -> 30 [size =\"48386048\"]\n  20 -> 31 [size =\"48386048\"]\n  21 [size=\"166553600\", alpha=\"0.06\", expect_size=\"49966080\"] \n  21 -> 32 [size =\"49966080\"]\n  22 [size=\"68184747\", alpha=\"0.17\", expect_size=\"20455424\"] \n  22 -> 29 [size =\"20455424\"]\n  22 -> 33 [size =\"20455424\"]\n  23 [size=\"98867200\", alpha=\"0.11\", expect_size=\"29660160\"] \n  23 -> 31 [size =\"29660160\"]\n  23 -> 34 [size =\"29660160\"]\n  24 [size=\"115357013\", alpha=\"0.14\", expect_size=\"34607104\"] \n  24 -> 34 [size =\"34607104\"]\n  24 -> 35 [size =\"34607104\"]\n  25 [size=\"153374720\", alpha=\"0.07\", expect_size=\"46012416\"] \n  25 -> 30 [size =\"46012416\"]\n  25 -> 31 [size =\"46012416\"]\n  26 [size=\"119596373\", alpha=\"0.19\", expect_size=\"35878912\"] \n  26 -> 29 [size =\"35878912\"]\n  26 -> 34 [size =\"35878912\"]\n  26 -> 35 [size =\"35878912\"]\n  27 [size=\"162256213\", alpha=\"0.02\", expect_size=\"48676864\"] \n  27 -> 31 [size =\"48676864\"]\n  27 -> 32 [size =\"48676864\"]\n  28 [size=\"68003840\", alpha=\"0.13\", expect_size=\"20401152\"] \n  28 -> 36 [size =\"20401152\"]\n  28 -> 37 [size =\"20401152\"]\n  28 -> 39 [size =\"20401152\"]\n  28 -> 40 [size =\"20401152\"]\n  29 [size=\"68140373\", alpha=\"0.15\", expect_size=\"20442112\"] \n  29 -> 36 [size =\"20442112\"]\n  29 -> 37 [size =\"20442112\"]\n  29 -> 38 [size =\"20442112\"]\n  29 -> 39 [size =\"20442112\"]\n  30 [size=\"100563627\", alpha=\"0.16\", expect_size=\"30169088\"] \n  30 -> 37 [size =\"30169088\"]\n  31 [size=\"120872960\", alpha=\"0.16\", expect_size=\"36261888\"] \n  32 [size=\"165304320\", alpha=\"0.10\", expect_size=\"49591296\"] \n  32 -> 36 [size =\"49591296\"]\n  32 -> 38 [size =\"49591296\"]\n  32 -> 39 [size =\"49591296\"]\n  32 -> 40 [size =\"49591296\"]\n  33 [size=\"143148373\", alpha=\"0.18\", expect_size=\"42944512\"] \n  33 -> 37 [size =\"42944512\"]\n  33 -> 38 [size =\"42944512\"]\n  33 -> 39 [size =\"42944512\"]\n  33 -> 40 [size =\"42944512\"]\n  34 [size=\"75793067\", alpha=\"0.08\", expect_size=\"22737920\"] \n  34 -> 37 [size =\"22737920\"]\n  34 -> 39 [size =\"22737920\"]\n  34 -> 40 [size =\"22737920\"]\n  35 [size=\"25077760\", alpha=\"0.12\", expect_size=\"7523328\"] \n  35 -> 37 [size =\"7523328\"]\n  36 [size=\"78752427\", alpha=\"0.06\", expect_size=\"23625728\"] \n  37 [size=\"67010560\", alpha=\"0.02\", expect_size=\"20103168\"] \n  38 [size=\"85316267\", alpha=\"0.16\", expect_size=\"25594880\"] \n  39 [size=\"33826133\", alpha=\"0.11\", expect_size=\"10147840\"] \n  40 [size=\"151705600\", alpha=\"0.04\", expect_size=\"45511680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85599573\", alpha=\"0.03\", expect_size=\"25679872\"] \n  1 -> 6 [size =\"25679872\"]\n  1 -> 7 [size =\"25679872\"]\n  1 -> 8 [size =\"25679872\"]\n  1 -> 9 [size =\"25679872\"]\n  1 -> 10 [size =\"25679872\"]\n  2 [size=\"133184853\", alpha=\"0.00\", expect_size=\"39955456\"] \n  2 -> 7 [size =\"39955456\"]\n  2 -> 11 [size =\"39955456\"]\n  3 [size=\"36795733\", alpha=\"0.09\", expect_size=\"11038720\"] \n  3 -> 6 [size =\"11038720\"]\n  4 [size=\"108014933\", alpha=\"0.15\", expect_size=\"32404480\"] \n  4 -> 8 [size =\"32404480\"]\n  4 -> 9 [size =\"32404480\"]\n  4 -> 10 [size =\"32404480\"]\n  5 [size=\"117387947\", alpha=\"0.00\", expect_size=\"35216384\"] \n  5 -> 8 [size =\"35216384\"]\n  5 -> 10 [size =\"35216384\"]\n  6 [size=\"76861440\", alpha=\"0.07\", expect_size=\"23058432\"] \n  6 -> 12 [size =\"23058432\"]\n  7 [size=\"100369067\", alpha=\"0.04\", expect_size=\"30110720\"] \n  7 -> 12 [size =\"30110720\"]\n  7 -> 15 [size =\"30110720\"]\n  7 -> 16 [size =\"30110720\"]\n  8 [size=\"149951147\", alpha=\"0.08\", expect_size=\"44985344\"] \n  8 -> 14 [size =\"44985344\"]\n  8 -> 15 [size =\"44985344\"]\n  8 -> 16 [size =\"44985344\"]\n  9 [size=\"78574933\", alpha=\"0.11\", expect_size=\"23572480\"] \n  9 -> 13 [size =\"23572480\"]\n  9 -> 14 [size =\"23572480\"]\n  9 -> 16 [size =\"23572480\"]\n  10 [size=\"173151573\", alpha=\"0.19\", expect_size=\"51945472\"] \n  10 -> 12 [size =\"51945472\"]\n  10 -> 13 [size =\"51945472\"]\n  10 -> 15 [size =\"51945472\"]\n  10 -> 16 [size =\"51945472\"]\n  11 [size=\"97157120\", alpha=\"0.03\", expect_size=\"29147136\"] \n  11 -> 12 [size =\"29147136\"]\n  11 -> 13 [size =\"29147136\"]\n  12 [size=\"122180267\", alpha=\"0.17\", expect_size=\"36654080\"] \n  12 -> 19 [size =\"36654080\"]\n  13 [size=\"122446507\", alpha=\"0.18\", expect_size=\"36733952\"] \n  13 -> 17 [size =\"36733952\"]\n  13 -> 21 [size =\"36733952\"]\n  14 [size=\"32334507\", alpha=\"0.01\", expect_size=\"9700352\"] \n  14 -> 18 [size =\"9700352\"]\n  14 -> 20 [size =\"9700352\"]\n  15 [size=\"150480213\", alpha=\"0.05\", expect_size=\"45144064\"] \n  15 -> 17 [size =\"45144064\"]\n  15 -> 18 [size =\"45144064\"]\n  15 -> 21 [size =\"45144064\"]\n  16 [size=\"153760427\", alpha=\"0.01\", expect_size=\"46128128\"] \n  16 -> 18 [size =\"46128128\"]\n  17 [size=\"48940373\", alpha=\"0.12\", expect_size=\"14682112\"] \n  17 -> 24 [size =\"14682112\"]\n  18 [size=\"83053227\", alpha=\"0.04\", expect_size=\"24915968\"] \n  18 -> 22 [size =\"24915968\"]\n  18 -> 26 [size =\"24915968\"]\n  18 -> 27 [size =\"24915968\"]\n  19 [size=\"142301867\", alpha=\"0.01\", expect_size=\"42690560\"] \n  19 -> 22 [size =\"42690560\"]\n  19 -> 23 [size =\"42690560\"]\n  20 [size=\"68147200\", alpha=\"0.05\", expect_size=\"20444160\"] \n  20 -> 23 [size =\"20444160\"]\n  20 -> 27 [size =\"20444160\"]\n  21 [size=\"62286507\", alpha=\"0.17\", expect_size=\"18685952\"] \n  21 -> 22 [size =\"18685952\"]\n  21 -> 23 [size =\"18685952\"]\n  21 -> 24 [size =\"18685952\"]\n  21 -> 25 [size =\"18685952\"]\n  21 -> 26 [size =\"18685952\"]\n  22 [size=\"87145813\", alpha=\"0.03\", expect_size=\"26143744\"] \n  22 -> 28 [size =\"26143744\"]\n  23 [size=\"64682667\", alpha=\"0.12\", expect_size=\"19404800\"] \n  23 -> 28 [size =\"19404800\"]\n  24 [size=\"48138240\", alpha=\"0.13\", expect_size=\"14441472\"] \n  24 -> 30 [size =\"14441472\"]\n  25 [size=\"59801600\", alpha=\"0.06\", expect_size=\"17940480\"] \n  25 -> 30 [size =\"17940480\"]\n  25 -> 31 [size =\"17940480\"]\n  26 [size=\"100044800\", alpha=\"0.07\", expect_size=\"30013440\"] \n  26 -> 28 [size =\"30013440\"]\n  26 -> 29 [size =\"30013440\"]\n  26 -> 30 [size =\"30013440\"]\n  27 [size=\"107438080\", alpha=\"0.18\", expect_size=\"32231424\"] \n  27 -> 28 [size =\"32231424\"]\n  27 -> 30 [size =\"32231424\"]\n  27 -> 32 [size =\"32231424\"]\n  28 [size=\"46458880\", alpha=\"0.07\", expect_size=\"13937664\"] \n  28 -> 34 [size =\"13937664\"]\n  28 -> 37 [size =\"13937664\"]\n  29 [size=\"77062827\", alpha=\"0.03\", expect_size=\"23118848\"] \n  30 [size=\"88442880\", alpha=\"0.18\", expect_size=\"26532864\"] \n  30 -> 33 [size =\"26532864\"]\n  30 -> 35 [size =\"26532864\"]\n  31 [size=\"125276160\", alpha=\"0.04\", expect_size=\"37582848\"] \n  31 -> 33 [size =\"37582848\"]\n  31 -> 34 [size =\"37582848\"]\n  31 -> 35 [size =\"37582848\"]\n  31 -> 37 [size =\"37582848\"]\n  32 [size=\"98399573\", alpha=\"0.04\", expect_size=\"29519872\"] \n  32 -> 33 [size =\"29519872\"]\n  32 -> 36 [size =\"29519872\"]\n  32 -> 37 [size =\"29519872\"]\n  33 [size=\"123521707\", alpha=\"0.16\", expect_size=\"37056512\"] \n  33 -> 40 [size =\"37056512\"]\n  34 [size=\"62679040\", alpha=\"0.11\", expect_size=\"18803712\"] \n  34 -> 40 [size =\"18803712\"]\n  35 [size=\"163693227\", alpha=\"0.02\", expect_size=\"49107968\"] \n  36 [size=\"54623573\", alpha=\"0.11\", expect_size=\"16387072\"] \n  36 -> 38 [size =\"16387072\"]\n  37 [size=\"109424640\", alpha=\"0.03\", expect_size=\"32827392\"] \n  37 -> 39 [size =\"32827392\"]\n  37 -> 40 [size =\"32827392\"]\n  38 [size=\"96430080\", alpha=\"0.04\", expect_size=\"28929024\"] \n  39 [size=\"148104533\", alpha=\"0.01\", expect_size=\"44431360\"] \n  40 [size=\"168267093\", alpha=\"0.05\", expect_size=\"50480128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64320853\", alpha=\"0.12\", expect_size=\"19296256\"] \n  2 [size=\"30617600\", alpha=\"0.06\", expect_size=\"9185280\"] \n  2 -> 5 [size =\"9185280\"]\n  2 -> 6 [size =\"9185280\"]\n  2 -> 7 [size =\"9185280\"]\n  3 [size=\"164799147\", alpha=\"0.15\", expect_size=\"49439744\"] \n  3 -> 5 [size =\"49439744\"]\n  3 -> 7 [size =\"49439744\"]\n  4 [size=\"65307307\", alpha=\"0.09\", expect_size=\"19592192\"] \n  4 -> 6 [size =\"19592192\"]\n  4 -> 8 [size =\"19592192\"]\n  5 [size=\"82903040\", alpha=\"0.17\", expect_size=\"24870912\"] \n  5 -> 9 [size =\"24870912\"]\n  5 -> 10 [size =\"24870912\"]\n  5 -> 11 [size =\"24870912\"]\n  6 [size=\"63887360\", alpha=\"0.15\", expect_size=\"19166208\"] \n  6 -> 10 [size =\"19166208\"]\n  7 [size=\"110318933\", alpha=\"0.20\", expect_size=\"33095680\"] \n  8 [size=\"56872960\", alpha=\"0.01\", expect_size=\"17061888\"] \n  8 -> 9 [size =\"17061888\"]\n  8 -> 11 [size =\"17061888\"]\n  8 -> 12 [size =\"17061888\"]\n  9 [size=\"114995200\", alpha=\"0.02\", expect_size=\"34498560\"] \n  9 -> 13 [size =\"34498560\"]\n  10 [size=\"37591040\", alpha=\"0.14\", expect_size=\"11277312\"] \n  10 -> 14 [size =\"11277312\"]\n  11 [size=\"32020480\", alpha=\"0.17\", expect_size=\"9606144\"] \n  12 [size=\"122525013\", alpha=\"0.12\", expect_size=\"36757504\"] \n  12 -> 13 [size =\"36757504\"]\n  13 [size=\"170065920\", alpha=\"0.15\", expect_size=\"51019776\"] \n  13 -> 15 [size =\"51019776\"]\n  13 -> 16 [size =\"51019776\"]\n  14 [size=\"133160960\", alpha=\"0.15\", expect_size=\"39948288\"] \n  15 [size=\"50582187\", alpha=\"0.04\", expect_size=\"15174656\"] \n  15 -> 17 [size =\"15174656\"]\n  16 [size=\"24989013\", alpha=\"0.12\", expect_size=\"7496704\"] \n  16 -> 18 [size =\"7496704\"]\n  17 [size=\"141902507\", alpha=\"0.09\", expect_size=\"42570752\"] \n  17 -> 21 [size =\"42570752\"]\n  18 [size=\"138007893\", alpha=\"0.08\", expect_size=\"41402368\"] \n  18 -> 19 [size =\"41402368\"]\n  18 -> 20 [size =\"41402368\"]\n  19 [size=\"142233600\", alpha=\"0.11\", expect_size=\"42670080\"] \n  19 -> 22 [size =\"42670080\"]\n  20 [size=\"157224960\", alpha=\"0.06\", expect_size=\"47167488\"] \n  21 [size=\"111930027\", alpha=\"0.07\", expect_size=\"33579008\"] \n  22 [size=\"85005653\", alpha=\"0.09\", expect_size=\"25501696\"] \n  22 -> 23 [size =\"25501696\"]\n  23 [size=\"25815040\", alpha=\"0.11\", expect_size=\"7744512\"] \n  23 -> 24 [size =\"7744512\"]\n  23 -> 25 [size =\"7744512\"]\n  24 [size=\"145500160\", alpha=\"0.18\", expect_size=\"43650048\"] \n  24 -> 26 [size =\"43650048\"]\n  25 [size=\"102707200\", alpha=\"0.14\", expect_size=\"30812160\"] \n  25 -> 27 [size =\"30812160\"]\n  26 [size=\"137567573\", alpha=\"0.16\", expect_size=\"41270272\"] \n  26 -> 28 [size =\"41270272\"]\n  27 [size=\"73321813\", alpha=\"0.09\", expect_size=\"21996544\"] \n  28 [size=\"141765973\", alpha=\"0.08\", expect_size=\"42529792\"] \n  28 -> 29 [size =\"42529792\"]\n  28 -> 30 [size =\"42529792\"]\n  28 -> 31 [size =\"42529792\"]\n  29 [size=\"45922987\", alpha=\"0.18\", expect_size=\"13776896\"] \n  29 -> 32 [size =\"13776896\"]\n  30 [size=\"129262933\", alpha=\"0.12\", expect_size=\"38778880\"] \n  30 -> 34 [size =\"38778880\"]\n  31 [size=\"173438293\", alpha=\"0.07\", expect_size=\"52031488\"] \n  31 -> 32 [size =\"52031488\"]\n  31 -> 33 [size =\"52031488\"]\n  31 -> 34 [size =\"52031488\"]\n  32 [size=\"68000427\", alpha=\"0.16\", expect_size=\"20400128\"] \n  32 -> 35 [size =\"20400128\"]\n  33 [size=\"140673707\", alpha=\"0.04\", expect_size=\"42202112\"] \n  33 -> 36 [size =\"42202112\"]\n  34 [size=\"66918400\", alpha=\"0.07\", expect_size=\"20075520\"] \n  34 -> 35 [size =\"20075520\"]\n  34 -> 36 [size =\"20075520\"]\n  34 -> 37 [size =\"20075520\"]\n  35 [size=\"51851947\", alpha=\"0.14\", expect_size=\"15555584\"] \n  35 -> 39 [size =\"15555584\"]\n  35 -> 40 [size =\"15555584\"]\n  36 [size=\"160904533\", alpha=\"0.02\", expect_size=\"48271360\"] \n  36 -> 38 [size =\"48271360\"]\n  37 [size=\"125914453\", alpha=\"0.05\", expect_size=\"37774336\"] \n  37 -> 38 [size =\"37774336\"]\n  38 [size=\"39727787\", alpha=\"0.05\", expect_size=\"11918336\"] \n  39 [size=\"99031040\", alpha=\"0.19\", expect_size=\"29709312\"] \n  40 [size=\"86763520\", alpha=\"0.12\", expect_size=\"26029056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25765888\", alpha=\"0.14\", expect_size=\"12882944\"] \n  1 -> 8 [size =\"12882944\"]\n  2 [size=\"94617600\", alpha=\"0.04\", expect_size=\"47308800\"] \n  2 -> 9 [size =\"47308800\"]\n  2 -> 10 [size =\"47308800\"]\n  3 [size=\"19838976\", alpha=\"0.03\", expect_size=\"9919488\"] \n  3 -> 7 [size =\"9919488\"]\n  3 -> 10 [size =\"9919488\"]\n  4 [size=\"71303168\", alpha=\"0.08\", expect_size=\"35651584\"] \n  4 -> 9 [size =\"35651584\"]\n  4 -> 10 [size =\"35651584\"]\n  5 [size=\"99067904\", alpha=\"0.07\", expect_size=\"49533952\"] \n  5 -> 7 [size =\"49533952\"]\n  5 -> 9 [size =\"49533952\"]\n  6 [size=\"93396992\", alpha=\"0.15\", expect_size=\"46698496\"] \n  6 -> 9 [size =\"46698496\"]\n  7 [size=\"94056448\", alpha=\"0.02\", expect_size=\"47028224\"] \n  7 -> 11 [size =\"47028224\"]\n  7 -> 12 [size =\"47028224\"]\n  7 -> 13 [size =\"47028224\"]\n  8 [size=\"21850112\", alpha=\"0.14\", expect_size=\"10925056\"] \n  8 -> 11 [size =\"10925056\"]\n  8 -> 13 [size =\"10925056\"]\n  8 -> 14 [size =\"10925056\"]\n  9 [size=\"40947712\", alpha=\"0.13\", expect_size=\"20473856\"] \n  9 -> 13 [size =\"20473856\"]\n  9 -> 14 [size =\"20473856\"]\n  10 [size=\"26023936\", alpha=\"0.10\", expect_size=\"13011968\"] \n  10 -> 11 [size =\"13011968\"]\n  11 [size=\"45088768\", alpha=\"0.01\", expect_size=\"22544384\"] \n  11 -> 15 [size =\"22544384\"]\n  11 -> 16 [size =\"22544384\"]\n  11 -> 18 [size =\"22544384\"]\n  11 -> 19 [size =\"22544384\"]\n  11 -> 20 [size =\"22544384\"]\n  11 -> 21 [size =\"22544384\"]\n  12 [size=\"17043456\", alpha=\"0.07\", expect_size=\"8521728\"] \n  12 -> 15 [size =\"8521728\"]\n  12 -> 16 [size =\"8521728\"]\n  12 -> 17 [size =\"8521728\"]\n  12 -> 19 [size =\"8521728\"]\n  12 -> 21 [size =\"8521728\"]\n  13 [size=\"37384192\", alpha=\"0.05\", expect_size=\"18692096\"] \n  13 -> 17 [size =\"18692096\"]\n  14 [size=\"52611072\", alpha=\"0.14\", expect_size=\"26305536\"] \n  14 -> 15 [size =\"26305536\"]\n  14 -> 19 [size =\"26305536\"]\n  14 -> 20 [size =\"26305536\"]\n  14 -> 21 [size =\"26305536\"]\n  15 [size=\"91080704\", alpha=\"0.02\", expect_size=\"45540352\"] \n  15 -> 22 [size =\"45540352\"]\n  15 -> 23 [size =\"45540352\"]\n  15 -> 25 [size =\"45540352\"]\n  16 [size=\"29059072\", alpha=\"0.07\", expect_size=\"14529536\"] \n  16 -> 22 [size =\"14529536\"]\n  16 -> 23 [size =\"14529536\"]\n  16 -> 24 [size =\"14529536\"]\n  16 -> 28 [size =\"14529536\"]\n  17 [size=\"101095424\", alpha=\"0.14\", expect_size=\"50547712\"] \n  17 -> 22 [size =\"50547712\"]\n  17 -> 25 [size =\"50547712\"]\n  17 -> 28 [size =\"50547712\"]\n  18 [size=\"16318464\", alpha=\"0.05\", expect_size=\"8159232\"] \n  18 -> 23 [size =\"8159232\"]\n  18 -> 25 [size =\"8159232\"]\n  18 -> 28 [size =\"8159232\"]\n  19 [size=\"82147328\", alpha=\"0.17\", expect_size=\"41073664\"] \n  19 -> 23 [size =\"41073664\"]\n  19 -> 24 [size =\"41073664\"]\n  19 -> 26 [size =\"41073664\"]\n  19 -> 28 [size =\"41073664\"]\n  20 [size=\"47501312\", alpha=\"0.12\", expect_size=\"23750656\"] \n  20 -> 24 [size =\"23750656\"]\n  20 -> 26 [size =\"23750656\"]\n  20 -> 27 [size =\"23750656\"]\n  20 -> 28 [size =\"23750656\"]\n  21 [size=\"96102400\", alpha=\"0.10\", expect_size=\"48051200\"] \n  21 -> 22 [size =\"48051200\"]\n  21 -> 23 [size =\"48051200\"]\n  22 [size=\"101160960\", alpha=\"0.06\", expect_size=\"50580480\"] \n  22 -> 29 [size =\"50580480\"]\n  22 -> 30 [size =\"50580480\"]\n  22 -> 31 [size =\"50580480\"]\n  22 -> 32 [size =\"50580480\"]\n  23 [size=\"41119744\", alpha=\"0.05\", expect_size=\"20559872\"] \n  23 -> 30 [size =\"20559872\"]\n  23 -> 30 [size =\"20559872\"]\n  24 [size=\"64440320\", alpha=\"0.15\", expect_size=\"32220160\"] \n  24 -> 30 [size =\"32220160\"]\n  25 [size=\"36919296\", alpha=\"0.05\", expect_size=\"18459648\"] \n  26 [size=\"48084992\", alpha=\"0.13\", expect_size=\"24042496\"] \n  26 -> 30 [size =\"24042496\"]\n  27 [size=\"80349184\", alpha=\"0.18\", expect_size=\"40174592\"] \n  27 -> 31 [size =\"40174592\"]\n  28 [size=\"52656128\", alpha=\"0.05\", expect_size=\"26328064\"] \n  29 [size=\"78530560\", alpha=\"0.19\", expect_size=\"39265280\"] \n  29 -> 39 [size =\"39265280\"]\n  30 [size=\"64622592\", alpha=\"0.16\", expect_size=\"32311296\"] \n  30 -> 39 [size =\"32311296\"]\n  31 [size=\"27256832\", alpha=\"0.01\", expect_size=\"13628416\"] \n  31 -> 35 [size =\"13628416\"]\n  31 -> 36 [size =\"13628416\"]\n  31 -> 37 [size =\"13628416\"]\n  32 [size=\"76085248\", alpha=\"0.06\", expect_size=\"38042624\"] \n  32 -> 33 [size =\"38042624\"]\n  32 -> 34 [size =\"38042624\"]\n  32 -> 35 [size =\"38042624\"]\n  32 -> 37 [size =\"38042624\"]\n  32 -> 38 [size =\"38042624\"]\n  32 -> 39 [size =\"38042624\"]\n  33 [size=\"12122112\", alpha=\"0.18\", expect_size=\"6061056\"] \n  34 [size=\"33470464\", alpha=\"0.19\", expect_size=\"16735232\"] \n  35 [size=\"12199936\", alpha=\"0.16\", expect_size=\"6099968\"] \n  35 -> 40 [size =\"6099968\"]\n  36 [size=\"36898816\", alpha=\"0.18\", expect_size=\"18449408\"] \n  36 -> 40 [size =\"18449408\"]\n  37 [size=\"96102400\", alpha=\"0.19\", expect_size=\"48051200\"] \n  37 -> 40 [size =\"48051200\"]\n  38 [size=\"84643840\", alpha=\"0.01\", expect_size=\"42321920\"] \n  38 -> 40 [size =\"42321920\"]\n  39 [size=\"13885440\", alpha=\"0.18\", expect_size=\"6942720\"] \n  39 -> 40 [size =\"6942720\"]\n  40 [size=\"103034880\", alpha=\"0.03\", expect_size=\"51517440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26457600\", alpha=\"0.04\", expect_size=\"10583040\"] \n  1 -> 26 [size =\"10583040\"]\n  1 -> 27 [size =\"10583040\"]\n  1 -> 29 [size =\"10583040\"]\n  1 -> 37 [size =\"10583040\"]\n  2 [size=\"26211840\", alpha=\"0.06\", expect_size=\"10484736\"] \n  2 -> 27 [size =\"10484736\"]\n  2 -> 28 [size =\"10484736\"]\n  2 -> 30 [size =\"10484736\"]\n  2 -> 36 [size =\"10484736\"]\n  2 -> 38 [size =\"10484736\"]\n  3 [size=\"44805120\", alpha=\"0.14\", expect_size=\"17922048\"] \n  3 -> 26 [size =\"17922048\"]\n  3 -> 28 [size =\"17922048\"]\n  3 -> 31 [size =\"17922048\"]\n  3 -> 35 [size =\"17922048\"]\n  3 -> 37 [size =\"17922048\"]\n  3 -> 38 [size =\"17922048\"]\n  4 [size=\"96901120\", alpha=\"0.16\", expect_size=\"38760448\"] \n  4 -> 29 [size =\"38760448\"]\n  4 -> 31 [size =\"38760448\"]\n  4 -> 33 [size =\"38760448\"]\n  4 -> 34 [size =\"38760448\"]\n  4 -> 37 [size =\"38760448\"]\n  4 -> 39 [size =\"38760448\"]\n  4 -> 40 [size =\"38760448\"]\n  5 [size=\"81116160\", alpha=\"0.00\", expect_size=\"32446464\"] \n  5 -> 31 [size =\"32446464\"]\n  5 -> 34 [size =\"32446464\"]\n  5 -> 39 [size =\"32446464\"]\n  6 [size=\"91701760\", alpha=\"0.05\", expect_size=\"36680704\"] \n  6 -> 28 [size =\"36680704\"]\n  6 -> 35 [size =\"36680704\"]\n  7 [size=\"81006080\", alpha=\"0.15\", expect_size=\"32402432\"] \n  7 -> 28 [size =\"32402432\"]\n  7 -> 34 [size =\"32402432\"]\n  7 -> 38 [size =\"32402432\"]\n  8 [size=\"26304000\", alpha=\"0.14\", expect_size=\"10521600\"] \n  8 -> 26 [size =\"10521600\"]\n  8 -> 28 [size =\"10521600\"]\n  8 -> 31 [size =\"10521600\"]\n  8 -> 37 [size =\"10521600\"]\n  8 -> 40 [size =\"10521600\"]\n  9 [size=\"47895040\", alpha=\"0.16\", expect_size=\"19158016\"] \n  9 -> 27 [size =\"19158016\"]\n  9 -> 29 [size =\"19158016\"]\n  9 -> 31 [size =\"19158016\"]\n  9 -> 37 [size =\"19158016\"]\n  10 [size=\"99998720\", alpha=\"0.02\", expect_size=\"39999488\"] \n  10 -> 26 [size =\"39999488\"]\n  10 -> 27 [size =\"39999488\"]\n  10 -> 28 [size =\"39999488\"]\n  10 -> 29 [size =\"39999488\"]\n  10 -> 34 [size =\"39999488\"]\n  10 -> 37 [size =\"39999488\"]\n  11 [size=\"103196160\", alpha=\"0.03\", expect_size=\"41278464\"] \n  11 -> 26 [size =\"41278464\"]\n  11 -> 27 [size =\"41278464\"]\n  11 -> 28 [size =\"41278464\"]\n  11 -> 34 [size =\"41278464\"]\n  12 [size=\"127779840\", alpha=\"0.15\", expect_size=\"51111936\"] \n  12 -> 26 [size =\"51111936\"]\n  12 -> 27 [size =\"51111936\"]\n  12 -> 28 [size =\"51111936\"]\n  12 -> 34 [size =\"51111936\"]\n  12 -> 36 [size =\"51111936\"]\n  12 -> 37 [size =\"51111936\"]\n  13 [size=\"44080640\", alpha=\"0.10\", expect_size=\"17632256\"] \n  13 -> 26 [size =\"17632256\"]\n  13 -> 28 [size =\"17632256\"]\n  13 -> 36 [size =\"17632256\"]\n  13 -> 37 [size =\"17632256\"]\n  14 [size=\"129026560\", alpha=\"0.02\", expect_size=\"51610624\"] \n  14 -> 26 [size =\"51610624\"]\n  14 -> 27 [size =\"51610624\"]\n  14 -> 28 [size =\"51610624\"]\n  14 -> 29 [size =\"51610624\"]\n  14 -> 31 [size =\"51610624\"]\n  14 -> 37 [size =\"51610624\"]\n  15 [size=\"107479040\", alpha=\"0.08\", expect_size=\"42991616\"] \n  15 -> 27 [size =\"42991616\"]\n  15 -> 28 [size =\"42991616\"]\n  15 -> 28 [size =\"42991616\"]\n  15 -> 29 [size =\"42991616\"]\n  15 -> 36 [size =\"42991616\"]\n  15 -> 37 [size =\"42991616\"]\n  16 [size=\"110164480\", alpha=\"0.05\", expect_size=\"44065792\"] \n  16 -> 27 [size =\"44065792\"]\n  16 -> 28 [size =\"44065792\"]\n  16 -> 31 [size =\"44065792\"]\n  16 -> 37 [size =\"44065792\"]\n  17 [size=\"19264000\", alpha=\"0.05\", expect_size=\"7705600\"] \n  17 -> 26 [size =\"7705600\"]\n  17 -> 27 [size =\"7705600\"]\n  17 -> 28 [size =\"7705600\"]\n  17 -> 29 [size =\"7705600\"]\n  17 -> 31 [size =\"7705600\"]\n  17 -> 33 [size =\"7705600\"]\n  17 -> 40 [size =\"7705600\"]\n  18 [size=\"107315200\", alpha=\"0.08\", expect_size=\"42926080\"] \n  18 -> 27 [size =\"42926080\"]\n  18 -> 28 [size =\"42926080\"]\n  18 -> 28 [size =\"42926080\"]\n  18 -> 32 [size =\"42926080\"]\n  18 -> 33 [size =\"42926080\"]\n  18 -> 37 [size =\"42926080\"]\n  19 [size=\"74252800\", alpha=\"0.03\", expect_size=\"29701120\"] \n  19 -> 26 [size =\"29701120\"]\n  19 -> 34 [size =\"29701120\"]\n  20 [size=\"48798720\", alpha=\"0.09\", expect_size=\"19519488\"] \n  20 -> 26 [size =\"19519488\"]\n  20 -> 27 [size =\"19519488\"]\n  20 -> 29 [size =\"19519488\"]\n  20 -> 31 [size =\"19519488\"]\n  20 -> 33 [size =\"19519488\"]\n  20 -> 34 [size =\"19519488\"]\n  20 -> 35 [size =\"19519488\"]\n  20 -> 37 [size =\"19519488\"]\n  21 [size=\"60157440\", alpha=\"0.17\", expect_size=\"24062976\"] \n  21 -> 26 [size =\"24062976\"]\n  21 -> 27 [size =\"24062976\"]\n  21 -> 28 [size =\"24062976\"]\n  21 -> 29 [size =\"24062976\"]\n  21 -> 34 [size =\"24062976\"]\n  21 -> 37 [size =\"24062976\"]\n  21 -> 40 [size =\"24062976\"]\n  22 [size=\"80335360\", alpha=\"0.08\", expect_size=\"32134144\"] \n  22 -> 26 [size =\"32134144\"]\n  22 -> 27 [size =\"32134144\"]\n  22 -> 29 [size =\"32134144\"]\n  22 -> 35 [size =\"32134144\"]\n  22 -> 38 [size =\"32134144\"]\n  23 [size=\"53685760\", alpha=\"0.03\", expect_size=\"21474304\"] \n  23 -> 26 [size =\"21474304\"]\n  23 -> 27 [size =\"21474304\"]\n  23 -> 34 [size =\"21474304\"]\n  23 -> 35 [size =\"21474304\"]\n  23 -> 37 [size =\"21474304\"]\n  23 -> 40 [size =\"21474304\"]\n  24 [size=\"110366720\", alpha=\"0.13\", expect_size=\"44146688\"] \n  24 -> 26 [size =\"44146688\"]\n  24 -> 29 [size =\"44146688\"]\n  24 -> 34 [size =\"44146688\"]\n  24 -> 35 [size =\"44146688\"]\n  24 -> 37 [size =\"44146688\"]\n  24 -> 38 [size =\"44146688\"]\n  25 [size=\"121113600\", alpha=\"0.14\", expect_size=\"48445440\"] \n  25 -> 26 [size =\"48445440\"]\n  25 -> 27 [size =\"48445440\"]\n  25 -> 34 [size =\"48445440\"]\n  25 -> 37 [size =\"48445440\"]\n  25 -> 39 [size =\"48445440\"]\n  25 -> 40 [size =\"48445440\"]\n  26 [size=\"49249280\", alpha=\"0.09\", expect_size=\"19699712\"] \n  27 [size=\"76928000\", alpha=\"0.15\", expect_size=\"30771200\"] \n  28 [size=\"106191360\", alpha=\"0.04\", expect_size=\"42476544\"] \n  29 [size=\"38282240\", alpha=\"0.18\", expect_size=\"15312896\"] \n  30 [size=\"58524160\", alpha=\"0.07\", expect_size=\"23409664\"] \n  31 [size=\"112849920\", alpha=\"0.12\", expect_size=\"45139968\"] \n  32 [size=\"96645120\", alpha=\"0.15\", expect_size=\"38658048\"] \n  33 [size=\"23016960\", alpha=\"0.04\", expect_size=\"9206784\"] \n  34 [size=\"41630720\", alpha=\"0.13\", expect_size=\"16652288\"] \n  35 [size=\"118312960\", alpha=\"0.18\", expect_size=\"47325184\"] \n  36 [size=\"85145600\", alpha=\"0.19\", expect_size=\"34058240\"] \n  37 [size=\"20725760\", alpha=\"0.01\", expect_size=\"8290304\"] \n  38 [size=\"110914560\", alpha=\"0.19\", expect_size=\"44365824\"] \n  39 [size=\"15019520\", alpha=\"0.08\", expect_size=\"6007808\"] \n  40 [size=\"121722880\", alpha=\"0.02\", expect_size=\"48689152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98188800\", alpha=\"0.12\", expect_size=\"39275520\"] \n  1 -> 29 [size =\"39275520\"]\n  1 -> 31 [size =\"39275520\"]\n  1 -> 35 [size =\"39275520\"]\n  1 -> 36 [size =\"39275520\"]\n  1 -> 37 [size =\"39275520\"]\n  2 [size=\"19709440\", alpha=\"0.18\", expect_size=\"7883776\"] \n  2 -> 31 [size =\"7883776\"]\n  2 -> 32 [size =\"7883776\"]\n  2 -> 35 [size =\"7883776\"]\n  2 -> 40 [size =\"7883776\"]\n  3 [size=\"58344960\", alpha=\"0.05\", expect_size=\"23337984\"] \n  3 -> 28 [size =\"23337984\"]\n  3 -> 32 [size =\"23337984\"]\n  3 -> 33 [size =\"23337984\"]\n  3 -> 38 [size =\"23337984\"]\n  4 [size=\"17658880\", alpha=\"0.09\", expect_size=\"7063552\"] \n  4 -> 33 [size =\"7063552\"]\n  4 -> 34 [size =\"7063552\"]\n  4 -> 35 [size =\"7063552\"]\n  4 -> 36 [size =\"7063552\"]\n  5 [size=\"20774400\", alpha=\"0.08\", expect_size=\"8309760\"] \n  5 -> 33 [size =\"8309760\"]\n  5 -> 35 [size =\"8309760\"]\n  5 -> 36 [size =\"8309760\"]\n  5 -> 38 [size =\"8309760\"]\n  6 [size=\"95797760\", alpha=\"0.11\", expect_size=\"38319104\"] \n  6 -> 33 [size =\"38319104\"]\n  6 -> 36 [size =\"38319104\"]\n  7 [size=\"39959040\", alpha=\"0.03\", expect_size=\"15983616\"] \n  7 -> 28 [size =\"15983616\"]\n  7 -> 30 [size =\"15983616\"]\n  7 -> 32 [size =\"15983616\"]\n  8 [size=\"55902720\", alpha=\"0.04\", expect_size=\"22361088\"] \n  8 -> 28 [size =\"22361088\"]\n  8 -> 30 [size =\"22361088\"]\n  8 -> 31 [size =\"22361088\"]\n  8 -> 32 [size =\"22361088\"]\n  8 -> 36 [size =\"22361088\"]\n  9 [size=\"98598400\", alpha=\"0.10\", expect_size=\"39439360\"] \n  9 -> 34 [size =\"39439360\"]\n  9 -> 38 [size =\"39439360\"]\n  9 -> 40 [size =\"39439360\"]\n  10 [size=\"57518080\", alpha=\"0.00\", expect_size=\"23007232\"] \n  10 -> 28 [size =\"23007232\"]\n  10 -> 29 [size =\"23007232\"]\n  10 -> 31 [size =\"23007232\"]\n  10 -> 32 [size =\"23007232\"]\n  10 -> 33 [size =\"23007232\"]\n  10 -> 38 [size =\"23007232\"]\n  11 [size=\"40481280\", alpha=\"0.15\", expect_size=\"16192512\"] \n  11 -> 30 [size =\"16192512\"]\n  11 -> 31 [size =\"16192512\"]\n  11 -> 34 [size =\"16192512\"]\n  11 -> 36 [size =\"16192512\"]\n  12 [size=\"108815360\", alpha=\"0.01\", expect_size=\"43526144\"] \n  12 -> 30 [size =\"43526144\"]\n  12 -> 35 [size =\"43526144\"]\n  12 -> 39 [size =\"43526144\"]\n  13 [size=\"95124480\", alpha=\"0.09\", expect_size=\"38049792\"] \n  13 -> 30 [size =\"38049792\"]\n  13 -> 34 [size =\"38049792\"]\n  13 -> 39 [size =\"38049792\"]\n  14 [size=\"123814400\", alpha=\"0.07\", expect_size=\"49525760\"] \n  14 -> 29 [size =\"49525760\"]\n  14 -> 30 [size =\"49525760\"]\n  14 -> 32 [size =\"49525760\"]\n  14 -> 34 [size =\"49525760\"]\n  14 -> 39 [size =\"49525760\"]\n  15 [size=\"56097280\", alpha=\"0.02\", expect_size=\"22438912\"] \n  15 -> 28 [size =\"22438912\"]\n  15 -> 30 [size =\"22438912\"]\n  15 -> 36 [size =\"22438912\"]\n  16 [size=\"102361600\", alpha=\"0.07\", expect_size=\"40944640\"] \n  16 -> 29 [size =\"40944640\"]\n  16 -> 36 [size =\"40944640\"]\n  17 [size=\"50536960\", alpha=\"0.09\", expect_size=\"20214784\"] \n  17 -> 34 [size =\"20214784\"]\n  17 -> 35 [size =\"20214784\"]\n  17 -> 40 [size =\"20214784\"]\n  18 [size=\"69557760\", alpha=\"0.02\", expect_size=\"27823104\"] \n  18 -> 29 [size =\"27823104\"]\n  18 -> 33 [size =\"27823104\"]\n  18 -> 35 [size =\"27823104\"]\n  18 -> 37 [size =\"27823104\"]\n  19 [size=\"91919360\", alpha=\"0.15\", expect_size=\"36767744\"] \n  19 -> 30 [size =\"36767744\"]\n  19 -> 36 [size =\"36767744\"]\n  19 -> 38 [size =\"36767744\"]\n  19 -> 39 [size =\"36767744\"]\n  20 [size=\"30917120\", alpha=\"0.16\", expect_size=\"12366848\"] \n  20 -> 28 [size =\"12366848\"]\n  20 -> 30 [size =\"12366848\"]\n  20 -> 32 [size =\"12366848\"]\n  20 -> 36 [size =\"12366848\"]\n  20 -> 39 [size =\"12366848\"]\n  21 [size=\"32629760\", alpha=\"0.11\", expect_size=\"13051904\"] \n  21 -> 31 [size =\"13051904\"]\n  21 -> 32 [size =\"13051904\"]\n  22 [size=\"119086080\", alpha=\"0.07\", expect_size=\"47634432\"] \n  22 -> 29 [size =\"47634432\"]\n  22 -> 32 [size =\"47634432\"]\n  22 -> 33 [size =\"47634432\"]\n  22 -> 38 [size =\"47634432\"]\n  22 -> 39 [size =\"47634432\"]\n  23 [size=\"126400000\", alpha=\"0.11\", expect_size=\"50560000\"] \n  23 -> 30 [size =\"50560000\"]\n  23 -> 31 [size =\"50560000\"]\n  23 -> 32 [size =\"50560000\"]\n  23 -> 33 [size =\"50560000\"]\n  23 -> 36 [size =\"50560000\"]\n  24 [size=\"60643840\", alpha=\"0.16\", expect_size=\"24257536\"] \n  24 -> 32 [size =\"24257536\"]\n  24 -> 33 [size =\"24257536\"]\n  24 -> 36 [size =\"24257536\"]\n  24 -> 38 [size =\"24257536\"]\n  25 [size=\"103296000\", alpha=\"0.02\", expect_size=\"41318400\"] \n  25 -> 28 [size =\"41318400\"]\n  25 -> 30 [size =\"41318400\"]\n  25 -> 33 [size =\"41318400\"]\n  25 -> 34 [size =\"41318400\"]\n  25 -> 36 [size =\"41318400\"]\n  26 [size=\"113607680\", alpha=\"0.02\", expect_size=\"45443072\"] \n  26 -> 28 [size =\"45443072\"]\n  26 -> 32 [size =\"45443072\"]\n  26 -> 33 [size =\"45443072\"]\n  26 -> 36 [size =\"45443072\"]\n  27 [size=\"34088960\", alpha=\"0.07\", expect_size=\"13635584\"] \n  27 -> 35 [size =\"13635584\"]\n  27 -> 36 [size =\"13635584\"]\n  27 -> 39 [size =\"13635584\"]\n  28 [size=\"88071680\", alpha=\"0.19\", expect_size=\"35228672\"] \n  29 [size=\"100418560\", alpha=\"0.05\", expect_size=\"40167424\"] \n  30 [size=\"71713280\", alpha=\"0.19\", expect_size=\"28685312\"] \n  31 [size=\"47390720\", alpha=\"0.17\", expect_size=\"18956288\"] \n  32 [size=\"112529920\", alpha=\"0.12\", expect_size=\"45011968\"] \n  33 [size=\"37806080\", alpha=\"0.01\", expect_size=\"15122432\"] \n  34 [size=\"104389120\", alpha=\"0.08\", expect_size=\"41755648\"] \n  35 [size=\"80901120\", alpha=\"0.03\", expect_size=\"32360448\"] \n  36 [size=\"92976640\", alpha=\"0.13\", expect_size=\"37190656\"] \n  37 [size=\"105341440\", alpha=\"0.09\", expect_size=\"42136576\"] \n  38 [size=\"26885120\", alpha=\"0.15\", expect_size=\"10754048\"] \n  39 [size=\"18368000\", alpha=\"0.14\", expect_size=\"7347200\"] \n  40 [size=\"47316480\", alpha=\"0.16\", expect_size=\"18926592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68184747\", alpha=\"0.19\", expect_size=\"20455424\"] \n  1 -> 36 [size =\"20455424\"]\n  1 -> 36 [size =\"20455424\"]\n  1 -> 37 [size =\"20455424\"]\n  1 -> 40 [size =\"20455424\"]\n  2 [size=\"94979413\", alpha=\"0.19\", expect_size=\"28493824\"] \n  2 -> 36 [size =\"28493824\"]\n  2 -> 39 [size =\"28493824\"]\n  2 -> 40 [size =\"28493824\"]\n  2 -> 40 [size =\"28493824\"]\n  3 [size=\"172980907\", alpha=\"0.05\", expect_size=\"51894272\"] \n  3 -> 36 [size =\"51894272\"]\n  3 -> 40 [size =\"51894272\"]\n  4 [size=\"73386667\", alpha=\"0.10\", expect_size=\"22016000\"] \n  4 -> 35 [size =\"22016000\"]\n  4 -> 36 [size =\"22016000\"]\n  4 -> 37 [size =\"22016000\"]\n  4 -> 39 [size =\"22016000\"]\n  5 [size=\"23746560\", alpha=\"0.05\", expect_size=\"7123968\"] \n  5 -> 35 [size =\"7123968\"]\n  5 -> 36 [size =\"7123968\"]\n  5 -> 37 [size =\"7123968\"]\n  6 [size=\"51988480\", alpha=\"0.17\", expect_size=\"15596544\"] \n  6 -> 36 [size =\"15596544\"]\n  6 -> 37 [size =\"15596544\"]\n  6 -> 40 [size =\"15596544\"]\n  7 [size=\"152756907\", alpha=\"0.11\", expect_size=\"45827072\"] \n  7 -> 37 [size =\"45827072\"]\n  7 -> 39 [size =\"45827072\"]\n  8 [size=\"31634773\", alpha=\"0.02\", expect_size=\"9490432\"] \n  8 -> 36 [size =\"9490432\"]\n  8 -> 39 [size =\"9490432\"]\n  9 [size=\"37270187\", alpha=\"0.13\", expect_size=\"11181056\"] \n  9 -> 36 [size =\"11181056\"]\n  9 -> 37 [size =\"11181056\"]\n  10 [size=\"171861333\", alpha=\"0.08\", expect_size=\"51558400\"] \n  10 -> 36 [size =\"51558400\"]\n  10 -> 37 [size =\"51558400\"]\n  11 [size=\"42335573\", alpha=\"0.05\", expect_size=\"12700672\"] \n  11 -> 36 [size =\"12700672\"]\n  11 -> 37 [size =\"12700672\"]\n  11 -> 39 [size =\"12700672\"]\n  11 -> 40 [size =\"12700672\"]\n  12 [size=\"33037653\", alpha=\"0.05\", expect_size=\"9911296\"] \n  12 -> 36 [size =\"9911296\"]\n  12 -> 39 [size =\"9911296\"]\n  13 [size=\"27702613\", alpha=\"0.06\", expect_size=\"8310784\"] \n  13 -> 36 [size =\"8310784\"]\n  13 -> 39 [size =\"8310784\"]\n  13 -> 40 [size =\"8310784\"]\n  14 [size=\"67406507\", alpha=\"0.11\", expect_size=\"20221952\"] \n  14 -> 36 [size =\"20221952\"]\n  15 [size=\"148828160\", alpha=\"0.03\", expect_size=\"44648448\"] \n  15 -> 37 [size =\"44648448\"]\n  15 -> 39 [size =\"44648448\"]\n  16 [size=\"29450240\", alpha=\"0.15\", expect_size=\"8835072\"] \n  16 -> 35 [size =\"8835072\"]\n  16 -> 39 [size =\"8835072\"]\n  16 -> 40 [size =\"8835072\"]\n  17 [size=\"165812907\", alpha=\"0.10\", expect_size=\"49743872\"] \n  17 -> 35 [size =\"49743872\"]\n  17 -> 36 [size =\"49743872\"]\n  17 -> 37 [size =\"49743872\"]\n  17 -> 38 [size =\"49743872\"]\n  17 -> 40 [size =\"49743872\"]\n  18 [size=\"94388907\", alpha=\"0.02\", expect_size=\"28316672\"] \n  18 -> 35 [size =\"28316672\"]\n  18 -> 37 [size =\"28316672\"]\n  18 -> 39 [size =\"28316672\"]\n  18 -> 40 [size =\"28316672\"]\n  18 -> 40 [size =\"28316672\"]\n  19 [size=\"113732267\", alpha=\"0.02\", expect_size=\"34119680\"] \n  19 -> 35 [size =\"34119680\"]\n  19 -> 37 [size =\"34119680\"]\n  19 -> 40 [size =\"34119680\"]\n  20 [size=\"56753493\", alpha=\"0.07\", expect_size=\"17026048\"] \n  20 -> 35 [size =\"17026048\"]\n  20 -> 37 [size =\"17026048\"]\n  21 [size=\"116558507\", alpha=\"0.18\", expect_size=\"34967552\"] \n  21 -> 37 [size =\"34967552\"]\n  21 -> 37 [size =\"34967552\"]\n  21 -> 39 [size =\"34967552\"]\n  22 [size=\"153033387\", alpha=\"0.19\", expect_size=\"45910016\"] \n  22 -> 36 [size =\"45910016\"]\n  22 -> 37 [size =\"45910016\"]\n  23 [size=\"38997333\", alpha=\"0.00\", expect_size=\"11699200\"] \n  23 -> 35 [size =\"11699200\"]\n  23 -> 40 [size =\"11699200\"]\n  24 [size=\"88627200\", alpha=\"0.08\", expect_size=\"26588160\"] \n  24 -> 35 [size =\"26588160\"]\n  24 -> 39 [size =\"26588160\"]\n  24 -> 40 [size =\"26588160\"]\n  25 [size=\"171407360\", alpha=\"0.17\", expect_size=\"51422208\"] \n  25 -> 35 [size =\"51422208\"]\n  25 -> 39 [size =\"51422208\"]\n  25 -> 40 [size =\"51422208\"]\n  26 [size=\"39106560\", alpha=\"0.11\", expect_size=\"11731968\"] \n  26 -> 35 [size =\"11731968\"]\n  26 -> 39 [size =\"11731968\"]\n  26 -> 40 [size =\"11731968\"]\n  27 [size=\"160122880\", alpha=\"0.01\", expect_size=\"48036864\"] \n  27 -> 35 [size =\"48036864\"]\n  27 -> 36 [size =\"48036864\"]\n  27 -> 37 [size =\"48036864\"]\n  27 -> 39 [size =\"48036864\"]\n  27 -> 40 [size =\"48036864\"]\n  28 [size=\"80370347\", alpha=\"0.13\", expect_size=\"24111104\"] \n  28 -> 35 [size =\"24111104\"]\n  28 -> 37 [size =\"24111104\"]\n  28 -> 39 [size =\"24111104\"]\n  28 -> 39 [size =\"24111104\"]\n  28 -> 40 [size =\"24111104\"]\n  29 [size=\"92968960\", alpha=\"0.08\", expect_size=\"27890688\"] \n  29 -> 34 [size =\"27890688\"]\n  29 -> 35 [size =\"27890688\"]\n  29 -> 37 [size =\"27890688\"]\n  29 -> 39 [size =\"27890688\"]\n  29 -> 40 [size =\"27890688\"]\n  30 [size=\"108868267\", alpha=\"0.02\", expect_size=\"32660480\"] \n  30 -> 34 [size =\"32660480\"]\n  30 -> 35 [size =\"32660480\"]\n  30 -> 36 [size =\"32660480\"]\n  30 -> 40 [size =\"32660480\"]\n  30 -> 40 [size =\"32660480\"]\n  31 [size=\"163092480\", alpha=\"0.20\", expect_size=\"48927744\"] \n  31 -> 36 [size =\"48927744\"]\n  31 -> 40 [size =\"48927744\"]\n  32 [size=\"149067093\", alpha=\"0.19\", expect_size=\"44720128\"] \n  32 -> 35 [size =\"44720128\"]\n  32 -> 36 [size =\"44720128\"]\n  32 -> 39 [size =\"44720128\"]\n  32 -> 40 [size =\"44720128\"]\n  33 [size=\"144298667\", alpha=\"0.00\", expect_size=\"43289600\"] \n  33 -> 35 [size =\"43289600\"]\n  33 -> 36 [size =\"43289600\"]\n  33 -> 38 [size =\"43289600\"]\n  33 -> 39 [size =\"43289600\"]\n  34 [size=\"147008853\", alpha=\"0.07\", expect_size=\"44102656\"] \n  35 [size=\"55821653\", alpha=\"0.11\", expect_size=\"16746496\"] \n  36 [size=\"34293760\", alpha=\"0.17\", expect_size=\"10288128\"] \n  37 [size=\"116944213\", alpha=\"0.01\", expect_size=\"35083264\"] \n  38 [size=\"124477440\", alpha=\"0.15\", expect_size=\"37343232\"] \n  39 [size=\"71055360\", alpha=\"0.01\", expect_size=\"21316608\"] \n  40 [size=\"133765120\", alpha=\"0.13\", expect_size=\"40129536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19773440\", alpha=\"0.05\", expect_size=\"9886720\"] \n  1 -> 6 [size =\"9886720\"]\n  1 -> 7 [size =\"9886720\"]\n  2 [size=\"27273216\", alpha=\"0.12\", expect_size=\"13636608\"] \n  2 -> 6 [size =\"13636608\"]\n  2 -> 9 [size =\"13636608\"]\n  3 [size=\"12521472\", alpha=\"0.12\", expect_size=\"6260736\"] \n  3 -> 8 [size =\"6260736\"]\n  4 [size=\"80920576\", alpha=\"0.14\", expect_size=\"40460288\"] \n  4 -> 9 [size =\"40460288\"]\n  5 [size=\"10778624\", alpha=\"0.09\", expect_size=\"5389312\"] \n  5 -> 6 [size =\"5389312\"]\n  5 -> 7 [size =\"5389312\"]\n  6 [size=\"41678848\", alpha=\"0.12\", expect_size=\"20839424\"] \n  6 -> 12 [size =\"20839424\"]\n  6 -> 13 [size =\"20839424\"]\n  6 -> 14 [size =\"20839424\"]\n  7 [size=\"14608384\", alpha=\"0.07\", expect_size=\"7304192\"] \n  8 [size=\"67827712\", alpha=\"0.16\", expect_size=\"33913856\"] \n  8 -> 13 [size =\"33913856\"]\n  9 [size=\"68096000\", alpha=\"0.16\", expect_size=\"34048000\"] \n  9 -> 10 [size =\"34048000\"]\n  9 -> 11 [size =\"34048000\"]\n  9 -> 12 [size =\"34048000\"]\n  9 -> 13 [size =\"34048000\"]\n  10 [size=\"97282048\", alpha=\"0.01\", expect_size=\"48641024\"] \n  10 -> 15 [size =\"48641024\"]\n  10 -> 18 [size =\"48641024\"]\n  10 -> 19 [size =\"48641024\"]\n  10 -> 20 [size =\"48641024\"]\n  11 [size=\"102621184\", alpha=\"0.05\", expect_size=\"51310592\"] \n  11 -> 15 [size =\"51310592\"]\n  11 -> 16 [size =\"51310592\"]\n  11 -> 18 [size =\"51310592\"]\n  11 -> 20 [size =\"51310592\"]\n  12 [size=\"33921024\", alpha=\"0.15\", expect_size=\"16960512\"] \n  12 -> 15 [size =\"16960512\"]\n  12 -> 17 [size =\"16960512\"]\n  12 -> 18 [size =\"16960512\"]\n  12 -> 19 [size =\"16960512\"]\n  13 [size=\"92628992\", alpha=\"0.16\", expect_size=\"46314496\"] \n  13 -> 19 [size =\"46314496\"]\n  13 -> 21 [size =\"46314496\"]\n  14 [size=\"55382016\", alpha=\"0.16\", expect_size=\"27691008\"] \n  14 -> 17 [size =\"27691008\"]\n  14 -> 19 [size =\"27691008\"]\n  14 -> 20 [size =\"27691008\"]\n  14 -> 21 [size =\"27691008\"]\n  15 [size=\"26320896\", alpha=\"0.03\", expect_size=\"13160448\"] \n  16 [size=\"69097472\", alpha=\"0.14\", expect_size=\"34548736\"] \n  16 -> 23 [size =\"34548736\"]\n  17 [size=\"29800448\", alpha=\"0.12\", expect_size=\"14900224\"] \n  17 -> 22 [size =\"14900224\"]\n  17 -> 23 [size =\"14900224\"]\n  17 -> 24 [size =\"14900224\"]\n  17 -> 25 [size =\"14900224\"]\n  17 -> 26 [size =\"14900224\"]\n  18 [size=\"60483584\", alpha=\"0.01\", expect_size=\"30241792\"] \n  18 -> 23 [size =\"30241792\"]\n  19 [size=\"40153088\", alpha=\"0.19\", expect_size=\"20076544\"] \n  20 [size=\"19070976\", alpha=\"0.16\", expect_size=\"9535488\"] \n  20 -> 24 [size =\"9535488\"]\n  21 [size=\"23013376\", alpha=\"0.15\", expect_size=\"11506688\"] \n  21 -> 22 [size =\"11506688\"]\n  21 -> 24 [size =\"11506688\"]\n  22 [size=\"46755840\", alpha=\"0.17\", expect_size=\"23377920\"] \n  22 -> 27 [size =\"23377920\"]\n  22 -> 28 [size =\"23377920\"]\n  23 [size=\"24545280\", alpha=\"0.19\", expect_size=\"12272640\"] \n  23 -> 29 [size =\"12272640\"]\n  23 -> 32 [size =\"12272640\"]\n  24 [size=\"101548032\", alpha=\"0.17\", expect_size=\"50774016\"] \n  24 -> 29 [size =\"50774016\"]\n  24 -> 30 [size =\"50774016\"]\n  25 [size=\"83816448\", alpha=\"0.15\", expect_size=\"41908224\"] \n  25 -> 27 [size =\"41908224\"]\n  25 -> 31 [size =\"41908224\"]\n  26 [size=\"97310720\", alpha=\"0.19\", expect_size=\"48655360\"] \n  26 -> 27 [size =\"48655360\"]\n  26 -> 28 [size =\"48655360\"]\n  26 -> 29 [size =\"48655360\"]\n  26 -> 33 [size =\"48655360\"]\n  27 [size=\"67840000\", alpha=\"0.04\", expect_size=\"33920000\"] \n  27 -> 34 [size =\"33920000\"]\n  27 -> 36 [size =\"33920000\"]\n  28 [size=\"29855744\", alpha=\"0.01\", expect_size=\"14927872\"] \n  28 -> 35 [size =\"14927872\"]\n  28 -> 37 [size =\"14927872\"]\n  29 [size=\"36487168\", alpha=\"0.11\", expect_size=\"18243584\"] \n  29 -> 35 [size =\"18243584\"]\n  29 -> 36 [size =\"18243584\"]\n  29 -> 37 [size =\"18243584\"]\n  29 -> 38 [size =\"18243584\"]\n  30 [size=\"33638400\", alpha=\"0.18\", expect_size=\"16819200\"] \n  30 -> 36 [size =\"16819200\"]\n  30 -> 36 [size =\"16819200\"]\n  30 -> 38 [size =\"16819200\"]\n  31 [size=\"15017984\", alpha=\"0.06\", expect_size=\"7508992\"] \n  32 [size=\"84285440\", alpha=\"0.18\", expect_size=\"42142720\"] \n  33 [size=\"69488640\", alpha=\"0.08\", expect_size=\"34744320\"] \n  33 -> 34 [size =\"34744320\"]\n  34 [size=\"67033088\", alpha=\"0.07\", expect_size=\"33516544\"] \n  34 -> 40 [size =\"33516544\"]\n  35 [size=\"52983808\", alpha=\"0.10\", expect_size=\"26491904\"] \n  35 -> 39 [size =\"26491904\"]\n  35 -> 40 [size =\"26491904\"]\n  36 [size=\"27633664\", alpha=\"0.05\", expect_size=\"13816832\"] \n  36 -> 39 [size =\"13816832\"]\n  36 -> 40 [size =\"13816832\"]\n  37 [size=\"22181888\", alpha=\"0.04\", expect_size=\"11090944\"] \n  38 [size=\"40749056\", alpha=\"0.14\", expect_size=\"20374528\"] \n  38 -> 39 [size =\"20374528\"]\n  38 -> 40 [size =\"20374528\"]\n  39 [size=\"46305280\", alpha=\"0.10\", expect_size=\"23152640\"] \n  40 [size=\"96464896\", alpha=\"0.08\", expect_size=\"48232448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40296448\", alpha=\"0.17\", expect_size=\"20148224\"] \n  1 -> 4 [size =\"20148224\"]\n  2 [size=\"12840960\", alpha=\"0.09\", expect_size=\"6420480\"] \n  2 -> 4 [size =\"6420480\"]\n  3 [size=\"50741248\", alpha=\"0.10\", expect_size=\"25370624\"] \n  3 -> 4 [size =\"25370624\"]\n  4 [size=\"58976256\", alpha=\"0.15\", expect_size=\"29488128\"] \n  4 -> 5 [size =\"29488128\"]\n  5 [size=\"13465600\", alpha=\"0.08\", expect_size=\"6732800\"] \n  5 -> 6 [size =\"6732800\"]\n  5 -> 7 [size =\"6732800\"]\n  5 -> 8 [size =\"6732800\"]\n  6 [size=\"25612288\", alpha=\"0.18\", expect_size=\"12806144\"] \n  6 -> 9 [size =\"12806144\"]\n  7 [size=\"45078528\", alpha=\"0.12\", expect_size=\"22539264\"] \n  7 -> 10 [size =\"22539264\"]\n  8 [size=\"34498560\", alpha=\"0.03\", expect_size=\"17249280\"] \n  9 [size=\"37951488\", alpha=\"0.00\", expect_size=\"18975744\"] \n  9 -> 11 [size =\"18975744\"]\n  10 [size=\"45119488\", alpha=\"0.03\", expect_size=\"22559744\"] \n  10 -> 11 [size =\"22559744\"]\n  10 -> 12 [size =\"22559744\"]\n  11 [size=\"101142528\", alpha=\"0.10\", expect_size=\"50571264\"] \n  11 -> 13 [size =\"50571264\"]\n  11 -> 14 [size =\"50571264\"]\n  12 [size=\"87934976\", alpha=\"0.11\", expect_size=\"43967488\"] \n  12 -> 13 [size =\"43967488\"]\n  12 -> 15 [size =\"43967488\"]\n  13 [size=\"36302848\", alpha=\"0.05\", expect_size=\"18151424\"] \n  13 -> 18 [size =\"18151424\"]\n  13 -> 19 [size =\"18151424\"]\n  14 [size=\"84733952\", alpha=\"0.08\", expect_size=\"42366976\"] \n  14 -> 19 [size =\"42366976\"]\n  15 [size=\"59400192\", alpha=\"0.15\", expect_size=\"29700096\"] \n  15 -> 16 [size =\"29700096\"]\n  15 -> 17 [size =\"29700096\"]\n  15 -> 18 [size =\"29700096\"]\n  15 -> 19 [size =\"29700096\"]\n  16 [size=\"97409024\", alpha=\"0.05\", expect_size=\"48704512\"] \n  16 -> 20 [size =\"48704512\"]\n  17 [size=\"88279040\", alpha=\"0.01\", expect_size=\"44139520\"] \n  17 -> 21 [size =\"44139520\"]\n  18 [size=\"48951296\", alpha=\"0.03\", expect_size=\"24475648\"] \n  18 -> 20 [size =\"24475648\"]\n  19 [size=\"61218816\", alpha=\"0.02\", expect_size=\"30609408\"] \n  20 [size=\"61372416\", alpha=\"0.17\", expect_size=\"30686208\"] \n  20 -> 22 [size =\"30686208\"]\n  20 -> 23 [size =\"30686208\"]\n  21 [size=\"76640256\", alpha=\"0.18\", expect_size=\"38320128\"] \n  21 -> 24 [size =\"38320128\"]\n  22 [size=\"30158848\", alpha=\"0.20\", expect_size=\"15079424\"] \n  22 -> 25 [size =\"15079424\"]\n  23 [size=\"83826688\", alpha=\"0.10\", expect_size=\"41913344\"] \n  23 -> 25 [size =\"41913344\"]\n  24 [size=\"12042240\", alpha=\"0.11\", expect_size=\"6021120\"] \n  24 -> 25 [size =\"6021120\"]\n  25 [size=\"50501632\", alpha=\"0.12\", expect_size=\"25250816\"] \n  25 -> 26 [size =\"25250816\"]\n  25 -> 27 [size =\"25250816\"]\n  25 -> 28 [size =\"25250816\"]\n  26 [size=\"27914240\", alpha=\"0.17\", expect_size=\"13957120\"] \n  26 -> 30 [size =\"13957120\"]\n  26 -> 31 [size =\"13957120\"]\n  26 -> 32 [size =\"13957120\"]\n  27 [size=\"50470912\", alpha=\"0.09\", expect_size=\"25235456\"] \n  27 -> 32 [size =\"25235456\"]\n  28 [size=\"53850112\", alpha=\"0.05\", expect_size=\"26925056\"] \n  28 -> 29 [size =\"26925056\"]\n  28 -> 30 [size =\"26925056\"]\n  28 -> 31 [size =\"26925056\"]\n  29 [size=\"68214784\", alpha=\"0.08\", expect_size=\"34107392\"] \n  29 -> 33 [size =\"34107392\"]\n  30 [size=\"76673024\", alpha=\"0.18\", expect_size=\"38336512\"] \n  31 [size=\"61624320\", alpha=\"0.08\", expect_size=\"30812160\"] \n  32 [size=\"52883456\", alpha=\"0.13\", expect_size=\"26441728\"] \n  32 -> 33 [size =\"26441728\"]\n  33 [size=\"52801536\", alpha=\"0.04\", expect_size=\"26400768\"] \n  33 -> 34 [size =\"26400768\"]\n  33 -> 35 [size =\"26400768\"]\n  33 -> 36 [size =\"26400768\"]\n  34 [size=\"101640192\", alpha=\"0.11\", expect_size=\"50820096\"] \n  35 [size=\"59142144\", alpha=\"0.09\", expect_size=\"29571072\"] \n  35 -> 37 [size =\"29571072\"]\n  36 [size=\"22663168\", alpha=\"0.04\", expect_size=\"11331584\"] \n  37 [size=\"101699584\", alpha=\"0.16\", expect_size=\"50849792\"] \n  37 -> 38 [size =\"50849792\"]\n  37 -> 39 [size =\"50849792\"]\n  37 -> 40 [size =\"50849792\"]\n  38 [size=\"47734784\", alpha=\"0.17\", expect_size=\"23867392\"] \n  39 [size=\"73523200\", alpha=\"0.08\", expect_size=\"36761600\"] \n  40 [size=\"17788928\", alpha=\"0.10\", expect_size=\"8894464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55906304\", alpha=\"0.08\", expect_size=\"27953152\"] \n  1 -> 3 [size =\"27953152\"]\n  1 -> 5 [size =\"27953152\"]\n  2 [size=\"60604416\", alpha=\"0.19\", expect_size=\"30302208\"] \n  2 -> 3 [size =\"30302208\"]\n  2 -> 4 [size =\"30302208\"]\n  2 -> 5 [size =\"30302208\"]\n  3 [size=\"93288448\", alpha=\"0.01\", expect_size=\"46644224\"] \n  4 [size=\"16578560\", alpha=\"0.17\", expect_size=\"8289280\"] \n  4 -> 6 [size =\"8289280\"]\n  5 [size=\"61173760\", alpha=\"0.15\", expect_size=\"30586880\"] \n  5 -> 7 [size =\"30586880\"]\n  6 [size=\"78321664\", alpha=\"0.16\", expect_size=\"39160832\"] \n  6 -> 8 [size =\"39160832\"]\n  6 -> 9 [size =\"39160832\"]\n  7 [size=\"91424768\", alpha=\"0.13\", expect_size=\"45712384\"] \n  7 -> 8 [size =\"45712384\"]\n  7 -> 9 [size =\"45712384\"]\n  8 [size=\"43782144\", alpha=\"0.18\", expect_size=\"21891072\"] \n  8 -> 10 [size =\"21891072\"]\n  8 -> 11 [size =\"21891072\"]\n  8 -> 12 [size =\"21891072\"]\n  9 [size=\"33282048\", alpha=\"0.18\", expect_size=\"16641024\"] \n  9 -> 10 [size =\"16641024\"]\n  9 -> 11 [size =\"16641024\"]\n  9 -> 12 [size =\"16641024\"]\n  10 [size=\"16973824\", alpha=\"0.08\", expect_size=\"8486912\"] \n  10 -> 13 [size =\"8486912\"]\n  10 -> 14 [size =\"8486912\"]\n  10 -> 15 [size =\"8486912\"]\n  11 [size=\"15497216\", alpha=\"0.14\", expect_size=\"7748608\"] \n  11 -> 14 [size =\"7748608\"]\n  11 -> 15 [size =\"7748608\"]\n  12 [size=\"53174272\", alpha=\"0.07\", expect_size=\"26587136\"] \n  12 -> 13 [size =\"26587136\"]\n  12 -> 14 [size =\"26587136\"]\n  12 -> 15 [size =\"26587136\"]\n  13 [size=\"49330176\", alpha=\"0.19\", expect_size=\"24665088\"] \n  13 -> 16 [size =\"24665088\"]\n  13 -> 17 [size =\"24665088\"]\n  14 [size=\"51949568\", alpha=\"0.19\", expect_size=\"25974784\"] \n  14 -> 16 [size =\"25974784\"]\n  15 [size=\"35827712\", alpha=\"0.04\", expect_size=\"17913856\"] \n  15 -> 17 [size =\"17913856\"]\n  16 [size=\"11161600\", alpha=\"0.06\", expect_size=\"5580800\"] \n  16 -> 18 [size =\"5580800\"]\n  17 [size=\"84486144\", alpha=\"0.02\", expect_size=\"42243072\"] \n  17 -> 18 [size =\"42243072\"]\n  17 -> 19 [size =\"42243072\"]\n  18 [size=\"52340736\", alpha=\"0.00\", expect_size=\"26170368\"] \n  18 -> 20 [size =\"26170368\"]\n  18 -> 21 [size =\"26170368\"]\n  19 [size=\"40785920\", alpha=\"0.15\", expect_size=\"20392960\"] \n  19 -> 20 [size =\"20392960\"]\n  19 -> 21 [size =\"20392960\"]\n  20 [size=\"30365696\", alpha=\"0.04\", expect_size=\"15182848\"] \n  20 -> 22 [size =\"15182848\"]\n  20 -> 23 [size =\"15182848\"]\n  20 -> 24 [size =\"15182848\"]\n  21 [size=\"68737024\", alpha=\"0.04\", expect_size=\"34368512\"] \n  21 -> 23 [size =\"34368512\"]\n  21 -> 24 [size =\"34368512\"]\n  22 [size=\"40036352\", alpha=\"0.13\", expect_size=\"20018176\"] \n  22 -> 26 [size =\"20018176\"]\n  22 -> 27 [size =\"20018176\"]\n  23 [size=\"74080256\", alpha=\"0.00\", expect_size=\"37040128\"] \n  23 -> 25 [size =\"37040128\"]\n  23 -> 27 [size =\"37040128\"]\n  24 [size=\"69701632\", alpha=\"0.09\", expect_size=\"34850816\"] \n  24 -> 27 [size =\"34850816\"]\n  25 [size=\"64090112\", alpha=\"0.08\", expect_size=\"32045056\"] \n  25 -> 28 [size =\"32045056\"]\n  25 -> 29 [size =\"32045056\"]\n  26 [size=\"83333120\", alpha=\"0.02\", expect_size=\"41666560\"] \n  26 -> 28 [size =\"41666560\"]\n  27 [size=\"17405952\", alpha=\"0.13\", expect_size=\"8702976\"] \n  27 -> 28 [size =\"8702976\"]\n  27 -> 29 [size =\"8702976\"]\n  28 [size=\"25182208\", alpha=\"0.10\", expect_size=\"12591104\"] \n  28 -> 30 [size =\"12591104\"]\n  28 -> 31 [size =\"12591104\"]\n  28 -> 32 [size =\"12591104\"]\n  29 [size=\"26818560\", alpha=\"0.13\", expect_size=\"13409280\"] \n  29 -> 30 [size =\"13409280\"]\n  29 -> 31 [size =\"13409280\"]\n  29 -> 32 [size =\"13409280\"]\n  30 [size=\"97792000\", alpha=\"0.17\", expect_size=\"48896000\"] \n  30 -> 33 [size =\"48896000\"]\n  30 -> 34 [size =\"48896000\"]\n  30 -> 35 [size =\"48896000\"]\n  31 [size=\"24465408\", alpha=\"0.02\", expect_size=\"12232704\"] \n  31 -> 33 [size =\"12232704\"]\n  31 -> 34 [size =\"12232704\"]\n  31 -> 35 [size =\"12232704\"]\n  32 [size=\"41000960\", alpha=\"0.16\", expect_size=\"20500480\"] \n  32 -> 34 [size =\"20500480\"]\n  32 -> 35 [size =\"20500480\"]\n  33 [size=\"103151616\", alpha=\"0.19\", expect_size=\"51575808\"] \n  33 -> 36 [size =\"51575808\"]\n  34 [size=\"10602496\", alpha=\"0.10\", expect_size=\"5301248\"] \n  34 -> 36 [size =\"5301248\"]\n  34 -> 37 [size =\"5301248\"]\n  34 -> 38 [size =\"5301248\"]\n  35 [size=\"52563968\", alpha=\"0.06\", expect_size=\"26281984\"] \n  35 -> 36 [size =\"26281984\"]\n  35 -> 37 [size =\"26281984\"]\n  35 -> 38 [size =\"26281984\"]\n  36 [size=\"90978304\", alpha=\"0.03\", expect_size=\"45489152\"] \n  36 -> 39 [size =\"45489152\"]\n  36 -> 40 [size =\"45489152\"]\n  37 [size=\"99313664\", alpha=\"0.15\", expect_size=\"49656832\"] \n  37 -> 39 [size =\"49656832\"]\n  37 -> 40 [size =\"49656832\"]\n  38 [size=\"64137216\", alpha=\"0.17\", expect_size=\"32068608\"] \n  38 -> 39 [size =\"32068608\"]\n  38 -> 40 [size =\"32068608\"]\n  39 [size=\"18747392\", alpha=\"0.04\", expect_size=\"9373696\"] \n  40 [size=\"80312320\", alpha=\"0.16\", expect_size=\"40156160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103075840\", alpha=\"0.04\", expect_size=\"30922752\"] \n  1 -> 15 [size =\"30922752\"]\n  1 -> 19 [size =\"30922752\"]\n  1 -> 21 [size =\"30922752\"]\n  1 -> 22 [size =\"30922752\"]\n  2 [size=\"133130240\", alpha=\"0.11\", expect_size=\"39939072\"] \n  2 -> 20 [size =\"39939072\"]\n  2 -> 21 [size =\"39939072\"]\n  2 -> 21 [size =\"39939072\"]\n  2 -> 22 [size =\"39939072\"]\n  3 [size=\"144609280\", alpha=\"0.02\", expect_size=\"43382784\"] \n  3 -> 15 [size =\"43382784\"]\n  3 -> 16 [size =\"43382784\"]\n  3 -> 21 [size =\"43382784\"]\n  3 -> 22 [size =\"43382784\"]\n  4 [size=\"147599360\", alpha=\"0.08\", expect_size=\"44279808\"] \n  4 -> 15 [size =\"44279808\"]\n  4 -> 21 [size =\"44279808\"]\n  4 -> 21 [size =\"44279808\"]\n  4 -> 22 [size =\"44279808\"]\n  5 [size=\"147961173\", alpha=\"0.05\", expect_size=\"44388352\"] \n  5 -> 15 [size =\"44388352\"]\n  5 -> 16 [size =\"44388352\"]\n  5 -> 18 [size =\"44388352\"]\n  5 -> 21 [size =\"44388352\"]\n  5 -> 22 [size =\"44388352\"]\n  5 -> 26 [size =\"44388352\"]\n  6 [size=\"149111467\", alpha=\"0.11\", expect_size=\"44733440\"] \n  6 -> 15 [size =\"44733440\"]\n  6 -> 16 [size =\"44733440\"]\n  6 -> 21 [size =\"44733440\"]\n  6 -> 22 [size =\"44733440\"]\n  6 -> 22 [size =\"44733440\"]\n  6 -> 24 [size =\"44733440\"]\n  6 -> 26 [size =\"44733440\"]\n  7 [size=\"137270613\", alpha=\"0.19\", expect_size=\"41181184\"] \n  7 -> 15 [size =\"41181184\"]\n  7 -> 17 [size =\"41181184\"]\n  7 -> 21 [size =\"41181184\"]\n  7 -> 22 [size =\"41181184\"]\n  7 -> 26 [size =\"41181184\"]\n  8 [size=\"95720107\", alpha=\"0.14\", expect_size=\"28716032\"] \n  8 -> 15 [size =\"28716032\"]\n  8 -> 21 [size =\"28716032\"]\n  8 -> 22 [size =\"28716032\"]\n  8 -> 22 [size =\"28716032\"]\n  8 -> 24 [size =\"28716032\"]\n  8 -> 25 [size =\"28716032\"]\n  8 -> 26 [size =\"28716032\"]\n  9 [size=\"47561387\", alpha=\"0.19\", expect_size=\"14268416\"] \n  9 -> 15 [size =\"14268416\"]\n  9 -> 16 [size =\"14268416\"]\n  9 -> 22 [size =\"14268416\"]\n  9 -> 26 [size =\"14268416\"]\n  10 [size=\"30593707\", alpha=\"0.11\", expect_size=\"9178112\"] \n  10 -> 15 [size =\"9178112\"]\n  10 -> 16 [size =\"9178112\"]\n  10 -> 18 [size =\"9178112\"]\n  10 -> 23 [size =\"9178112\"]\n  10 -> 25 [size =\"9178112\"]\n  10 -> 26 [size =\"9178112\"]\n  11 [size=\"151937707\", alpha=\"0.08\", expect_size=\"45581312\"] \n  11 -> 15 [size =\"45581312\"]\n  11 -> 23 [size =\"45581312\"]\n  11 -> 24 [size =\"45581312\"]\n  11 -> 26 [size =\"45581312\"]\n  12 [size=\"27374933\", alpha=\"0.04\", expect_size=\"8212480\"] \n  12 -> 15 [size =\"8212480\"]\n  12 -> 16 [size =\"8212480\"]\n  12 -> 17 [size =\"8212480\"]\n  12 -> 21 [size =\"8212480\"]\n  12 -> 23 [size =\"8212480\"]\n  12 -> 24 [size =\"8212480\"]\n  12 -> 25 [size =\"8212480\"]\n  12 -> 26 [size =\"8212480\"]\n  13 [size=\"113421653\", alpha=\"0.11\", expect_size=\"34026496\"] \n  13 -> 15 [size =\"34026496\"]\n  13 -> 16 [size =\"34026496\"]\n  13 -> 20 [size =\"34026496\"]\n  13 -> 21 [size =\"34026496\"]\n  13 -> 23 [size =\"34026496\"]\n  13 -> 26 [size =\"34026496\"]\n  14 [size=\"131764907\", alpha=\"0.10\", expect_size=\"39529472\"] \n  14 -> 15 [size =\"39529472\"]\n  14 -> 19 [size =\"39529472\"]\n  14 -> 21 [size =\"39529472\"]\n  14 -> 23 [size =\"39529472\"]\n  15 [size=\"35478187\", alpha=\"0.16\", expect_size=\"10643456\"] \n  15 -> 27 [size =\"10643456\"]\n  15 -> 28 [size =\"10643456\"]\n  15 -> 29 [size =\"10643456\"]\n  15 -> 30 [size =\"10643456\"]\n  15 -> 32 [size =\"10643456\"]\n  15 -> 33 [size =\"10643456\"]\n  15 -> 34 [size =\"10643456\"]\n  15 -> 37 [size =\"10643456\"]\n  15 -> 39 [size =\"10643456\"]\n  16 [size=\"77445120\", alpha=\"0.02\", expect_size=\"23233536\"] \n  16 -> 27 [size =\"23233536\"]\n  16 -> 28 [size =\"23233536\"]\n  16 -> 29 [size =\"23233536\"]\n  16 -> 30 [size =\"23233536\"]\n  16 -> 31 [size =\"23233536\"]\n  16 -> 32 [size =\"23233536\"]\n  16 -> 37 [size =\"23233536\"]\n  16 -> 38 [size =\"23233536\"]\n  16 -> 39 [size =\"23233536\"]\n  17 [size=\"163205120\", alpha=\"0.18\", expect_size=\"48961536\"] \n  17 -> 27 [size =\"48961536\"]\n  17 -> 28 [size =\"48961536\"]\n  17 -> 30 [size =\"48961536\"]\n  17 -> 31 [size =\"48961536\"]\n  17 -> 33 [size =\"48961536\"]\n  17 -> 37 [size =\"48961536\"]\n  17 -> 39 [size =\"48961536\"]\n  18 [size=\"156934827\", alpha=\"0.16\", expect_size=\"47080448\"] \n  18 -> 27 [size =\"47080448\"]\n  18 -> 28 [size =\"47080448\"]\n  18 -> 29 [size =\"47080448\"]\n  18 -> 30 [size =\"47080448\"]\n  18 -> 31 [size =\"47080448\"]\n  18 -> 33 [size =\"47080448\"]\n  18 -> 35 [size =\"47080448\"]\n  18 -> 39 [size =\"47080448\"]\n  19 [size=\"107888640\", alpha=\"0.03\", expect_size=\"32366592\"] \n  19 -> 27 [size =\"32366592\"]\n  19 -> 29 [size =\"32366592\"]\n  19 -> 30 [size =\"32366592\"]\n  19 -> 30 [size =\"32366592\"]\n  19 -> 34 [size =\"32366592\"]\n  19 -> 35 [size =\"32366592\"]\n  19 -> 38 [size =\"32366592\"]\n  19 -> 39 [size =\"32366592\"]\n  20 [size=\"97273173\", alpha=\"0.13\", expect_size=\"29181952\"] \n  20 -> 27 [size =\"29181952\"]\n  20 -> 31 [size =\"29181952\"]\n  20 -> 32 [size =\"29181952\"]\n  20 -> 33 [size =\"29181952\"]\n  20 -> 34 [size =\"29181952\"]\n  20 -> 35 [size =\"29181952\"]\n  20 -> 36 [size =\"29181952\"]\n  20 -> 37 [size =\"29181952\"]\n  21 [size=\"29446827\", alpha=\"0.14\", expect_size=\"8834048\"] \n  21 -> 27 [size =\"8834048\"]\n  21 -> 29 [size =\"8834048\"]\n  21 -> 33 [size =\"8834048\"]\n  21 -> 34 [size =\"8834048\"]\n  21 -> 35 [size =\"8834048\"]\n  21 -> 37 [size =\"8834048\"]\n  21 -> 39 [size =\"8834048\"]\n  22 [size=\"89859413\", alpha=\"0.10\", expect_size=\"26957824\"] \n  22 -> 27 [size =\"26957824\"]\n  22 -> 30 [size =\"26957824\"]\n  22 -> 31 [size =\"26957824\"]\n  22 -> 33 [size =\"26957824\"]\n  22 -> 34 [size =\"26957824\"]\n  22 -> 36 [size =\"26957824\"]\n  22 -> 37 [size =\"26957824\"]\n  23 [size=\"121784320\", alpha=\"0.02\", expect_size=\"36535296\"] \n  23 -> 27 [size =\"36535296\"]\n  23 -> 28 [size =\"36535296\"]\n  23 -> 30 [size =\"36535296\"]\n  23 -> 32 [size =\"36535296\"]\n  23 -> 33 [size =\"36535296\"]\n  23 -> 34 [size =\"36535296\"]\n  23 -> 37 [size =\"36535296\"]\n  23 -> 39 [size =\"36535296\"]\n  24 [size=\"47329280\", alpha=\"0.11\", expect_size=\"14198784\"] \n  24 -> 28 [size =\"14198784\"]\n  24 -> 29 [size =\"14198784\"]\n  24 -> 30 [size =\"14198784\"]\n  24 -> 32 [size =\"14198784\"]\n  24 -> 33 [size =\"14198784\"]\n  24 -> 34 [size =\"14198784\"]\n  24 -> 35 [size =\"14198784\"]\n  24 -> 37 [size =\"14198784\"]\n  24 -> 39 [size =\"14198784\"]\n  25 [size=\"127935147\", alpha=\"0.16\", expect_size=\"38380544\"] \n  25 -> 29 [size =\"38380544\"]\n  25 -> 30 [size =\"38380544\"]\n  25 -> 32 [size =\"38380544\"]\n  25 -> 34 [size =\"38380544\"]\n  25 -> 37 [size =\"38380544\"]\n  25 -> 39 [size =\"38380544\"]\n  26 [size=\"98583893\", alpha=\"0.18\", expect_size=\"29575168\"] \n  26 -> 27 [size =\"29575168\"]\n  26 -> 28 [size =\"29575168\"]\n  26 -> 29 [size =\"29575168\"]\n  26 -> 31 [size =\"29575168\"]\n  26 -> 34 [size =\"29575168\"]\n  26 -> 37 [size =\"29575168\"]\n  26 -> 38 [size =\"29575168\"]\n  26 -> 39 [size =\"29575168\"]\n  27 [size=\"114776747\", alpha=\"0.15\", expect_size=\"34433024\"] \n  28 [size=\"101314560\", alpha=\"0.02\", expect_size=\"30394368\"] \n  28 -> 40 [size =\"30394368\"]\n  29 [size=\"68741120\", alpha=\"0.13\", expect_size=\"20622336\"] \n  30 [size=\"92474027\", alpha=\"0.05\", expect_size=\"27742208\"] \n  31 [size=\"39468373\", alpha=\"0.15\", expect_size=\"11840512\"] \n  32 [size=\"152613547\", alpha=\"0.06\", expect_size=\"45784064\"] \n  33 [size=\"75707733\", alpha=\"0.09\", expect_size=\"22712320\"] \n  34 [size=\"93173760\", alpha=\"0.07\", expect_size=\"27952128\"] \n  35 [size=\"20558507\", alpha=\"0.07\", expect_size=\"6167552\"] \n  36 [size=\"145640107\", alpha=\"0.14\", expect_size=\"43692032\"] \n  37 [size=\"128191147\", alpha=\"0.00\", expect_size=\"38457344\"] \n  38 [size=\"88012800\", alpha=\"0.04\", expect_size=\"26403840\"] \n  39 [size=\"103345493\", alpha=\"0.19\", expect_size=\"31003648\"] \n  40 [size=\"46987947\", alpha=\"0.05\", expect_size=\"14096384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113510400\", alpha=\"0.16\", expect_size=\"34053120\"] \n  1 -> 2 [size =\"34053120\"]\n  2 [size=\"103021227\", alpha=\"0.16\", expect_size=\"30906368\"] \n  2 -> 3 [size =\"30906368\"]\n  3 [size=\"75342507\", alpha=\"0.13\", expect_size=\"22602752\"] \n  3 -> 4 [size =\"22602752\"]\n  4 [size=\"24012800\", alpha=\"0.12\", expect_size=\"7203840\"] \n  4 -> 5 [size =\"7203840\"]\n  5 [size=\"130689707\", alpha=\"0.04\", expect_size=\"39206912\"] \n  5 -> 6 [size =\"39206912\"]\n  6 [size=\"122613760\", alpha=\"0.00\", expect_size=\"36784128\"] \n  6 -> 7 [size =\"36784128\"]\n  7 [size=\"140578133\", alpha=\"0.01\", expect_size=\"42173440\"] \n  7 -> 8 [size =\"42173440\"]\n  8 [size=\"173015040\", alpha=\"0.11\", expect_size=\"51904512\"] \n  8 -> 9 [size =\"51904512\"]\n  9 [size=\"87388160\", alpha=\"0.09\", expect_size=\"26216448\"] \n  9 -> 10 [size =\"26216448\"]\n  10 [size=\"122258773\", alpha=\"0.14\", expect_size=\"36677632\"] \n  10 -> 11 [size =\"36677632\"]\n  11 [size=\"69140480\", alpha=\"0.16\", expect_size=\"20742144\"] \n  11 -> 12 [size =\"20742144\"]\n  12 [size=\"41202347\", alpha=\"0.17\", expect_size=\"12360704\"] \n  12 -> 13 [size =\"12360704\"]\n  13 [size=\"168011093\", alpha=\"0.02\", expect_size=\"50403328\"] \n  13 -> 14 [size =\"50403328\"]\n  14 [size=\"113438720\", alpha=\"0.10\", expect_size=\"34031616\"] \n  14 -> 15 [size =\"34031616\"]\n  15 [size=\"51732480\", alpha=\"0.03\", expect_size=\"15519744\"] \n  15 -> 16 [size =\"15519744\"]\n  16 [size=\"80882347\", alpha=\"0.15\", expect_size=\"24264704\"] \n  16 -> 17 [size =\"24264704\"]\n  17 [size=\"82684587\", alpha=\"0.15\", expect_size=\"24805376\"] \n  17 -> 18 [size =\"24805376\"]\n  18 [size=\"87429120\", alpha=\"0.05\", expect_size=\"26228736\"] \n  18 -> 19 [size =\"26228736\"]\n  19 [size=\"171581440\", alpha=\"0.04\", expect_size=\"51474432\"] \n  19 -> 20 [size =\"51474432\"]\n  20 [size=\"86521173\", alpha=\"0.11\", expect_size=\"25956352\"] \n  20 -> 21 [size =\"25956352\"]\n  21 [size=\"42031787\", alpha=\"0.11\", expect_size=\"12609536\"] \n  21 -> 22 [size =\"12609536\"]\n  22 [size=\"169796267\", alpha=\"0.01\", expect_size=\"50938880\"] \n  22 -> 23 [size =\"50938880\"]\n  23 [size=\"146271573\", alpha=\"0.18\", expect_size=\"43881472\"] \n  23 -> 24 [size =\"43881472\"]\n  24 [size=\"161365333\", alpha=\"0.16\", expect_size=\"48409600\"] \n  24 -> 25 [size =\"48409600\"]\n  25 [size=\"85821440\", alpha=\"0.09\", expect_size=\"25746432\"] \n  25 -> 26 [size =\"25746432\"]\n  26 [size=\"106594987\", alpha=\"0.15\", expect_size=\"31978496\"] \n  26 -> 27 [size =\"31978496\"]\n  27 [size=\"63556267\", alpha=\"0.17\", expect_size=\"19066880\"] \n  27 -> 28 [size =\"19066880\"]\n  28 [size=\"20821333\", alpha=\"0.18\", expect_size=\"6246400\"] \n  28 -> 29 [size =\"6246400\"]\n  29 [size=\"60675413\", alpha=\"0.09\", expect_size=\"18202624\"] \n  29 -> 30 [size =\"18202624\"]\n  30 [size=\"95470933\", alpha=\"0.12\", expect_size=\"28641280\"] \n  30 -> 31 [size =\"28641280\"]\n  31 [size=\"28088320\", alpha=\"0.03\", expect_size=\"8426496\"] \n  31 -> 32 [size =\"8426496\"]\n  32 [size=\"111851520\", alpha=\"0.16\", expect_size=\"33555456\"] \n  32 -> 33 [size =\"33555456\"]\n  33 [size=\"117732693\", alpha=\"0.08\", expect_size=\"35319808\"] \n  33 -> 34 [size =\"35319808\"]\n  34 [size=\"103601493\", alpha=\"0.13\", expect_size=\"31080448\"] \n  34 -> 35 [size =\"31080448\"]\n  35 [size=\"75994453\", alpha=\"0.02\", expect_size=\"22798336\"] \n  35 -> 36 [size =\"22798336\"]\n  36 [size=\"148125013\", alpha=\"0.19\", expect_size=\"44437504\"] \n  36 -> 37 [size =\"44437504\"]\n  37 [size=\"110564693\", alpha=\"0.04\", expect_size=\"33169408\"] \n  37 -> 38 [size =\"33169408\"]\n  38 [size=\"86411947\", alpha=\"0.19\", expect_size=\"25923584\"] \n  38 -> 39 [size =\"25923584\"]\n  39 [size=\"73925973\", alpha=\"0.13\", expect_size=\"22177792\"] \n  39 -> 40 [size =\"22177792\"]\n  40 [size=\"143015253\", alpha=\"0.15\", expect_size=\"42904576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103301120\", alpha=\"0.07\", expect_size=\"30990336\"] \n  1 -> 9 [size =\"30990336\"]\n  2 [size=\"92494507\", alpha=\"0.11\", expect_size=\"27748352\"] \n  2 -> 8 [size =\"27748352\"]\n  2 -> 10 [size =\"27748352\"]\n  2 -> 12 [size =\"27748352\"]\n  3 [size=\"168311467\", alpha=\"0.11\", expect_size=\"50493440\"] \n  3 -> 10 [size =\"50493440\"]\n  3 -> 11 [size =\"50493440\"]\n  3 -> 12 [size =\"50493440\"]\n  4 [size=\"75011413\", alpha=\"0.10\", expect_size=\"22503424\"] \n  4 -> 8 [size =\"22503424\"]\n  4 -> 10 [size =\"22503424\"]\n  4 -> 11 [size =\"22503424\"]\n  4 -> 12 [size =\"22503424\"]\n  5 [size=\"31330987\", alpha=\"0.02\", expect_size=\"9399296\"] \n  5 -> 8 [size =\"9399296\"]\n  5 -> 10 [size =\"9399296\"]\n  5 -> 11 [size =\"9399296\"]\n  5 -> 12 [size =\"9399296\"]\n  6 [size=\"65672533\", alpha=\"0.08\", expect_size=\"19701760\"] \n  6 -> 10 [size =\"19701760\"]\n  6 -> 11 [size =\"19701760\"]\n  6 -> 11 [size =\"19701760\"]\n  7 [size=\"132229120\", alpha=\"0.11\", expect_size=\"39668736\"] \n  7 -> 10 [size =\"39668736\"]\n  7 -> 11 [size =\"39668736\"]\n  7 -> 12 [size =\"39668736\"]\n  8 [size=\"116094293\", alpha=\"0.08\", expect_size=\"34828288\"] \n  8 -> 13 [size =\"34828288\"]\n  8 -> 14 [size =\"34828288\"]\n  8 -> 15 [size =\"34828288\"]\n  8 -> 16 [size =\"34828288\"]\n  9 [size=\"164590933\", alpha=\"0.09\", expect_size=\"49377280\"] \n  9 -> 14 [size =\"49377280\"]\n  9 -> 16 [size =\"49377280\"]\n  9 -> 17 [size =\"49377280\"]\n  10 [size=\"51718827\", alpha=\"0.02\", expect_size=\"15515648\"] \n  10 -> 14 [size =\"15515648\"]\n  10 -> 15 [size =\"15515648\"]\n  10 -> 16 [size =\"15515648\"]\n  10 -> 17 [size =\"15515648\"]\n  11 [size=\"38768640\", alpha=\"0.10\", expect_size=\"11630592\"] \n  11 -> 14 [size =\"11630592\"]\n  11 -> 16 [size =\"11630592\"]\n  11 -> 17 [size =\"11630592\"]\n  11 -> 17 [size =\"11630592\"]\n  12 [size=\"93607253\", alpha=\"0.14\", expect_size=\"28082176\"] \n  12 -> 13 [size =\"28082176\"]\n  12 -> 14 [size =\"28082176\"]\n  13 [size=\"20817920\", alpha=\"0.19\", expect_size=\"6245376\"] \n  13 -> 18 [size =\"6245376\"]\n  13 -> 19 [size =\"6245376\"]\n  13 -> 20 [size =\"6245376\"]\n  13 -> 21 [size =\"6245376\"]\n  14 [size=\"108779520\", alpha=\"0.10\", expect_size=\"32633856\"] \n  14 -> 18 [size =\"32633856\"]\n  14 -> 19 [size =\"32633856\"]\n  14 -> 20 [size =\"32633856\"]\n  14 -> 21 [size =\"32633856\"]\n  15 [size=\"28252160\", alpha=\"0.05\", expect_size=\"8475648\"] \n  15 -> 18 [size =\"8475648\"]\n  15 -> 19 [size =\"8475648\"]\n  15 -> 20 [size =\"8475648\"]\n  15 -> 21 [size =\"8475648\"]\n  16 [size=\"40403627\", alpha=\"0.03\", expect_size=\"12121088\"] \n  16 -> 18 [size =\"12121088\"]\n  16 -> 19 [size =\"12121088\"]\n  16 -> 20 [size =\"12121088\"]\n  17 [size=\"106441387\", alpha=\"0.13\", expect_size=\"31932416\"] \n  17 -> 18 [size =\"31932416\"]\n  17 -> 20 [size =\"31932416\"]\n  17 -> 21 [size =\"31932416\"]\n  18 [size=\"38423893\", alpha=\"0.01\", expect_size=\"11527168\"] \n  18 -> 22 [size =\"11527168\"]\n  18 -> 24 [size =\"11527168\"]\n  19 [size=\"100457813\", alpha=\"0.16\", expect_size=\"30137344\"] \n  19 -> 22 [size =\"30137344\"]\n  19 -> 24 [size =\"30137344\"]\n  19 -> 25 [size =\"30137344\"]\n  19 -> 26 [size =\"30137344\"]\n  20 [size=\"170898773\", alpha=\"0.05\", expect_size=\"51269632\"] \n  20 -> 22 [size =\"51269632\"]\n  20 -> 23 [size =\"51269632\"]\n  20 -> 26 [size =\"51269632\"]\n  21 [size=\"29655040\", alpha=\"0.06\", expect_size=\"8896512\"] \n  21 -> 22 [size =\"8896512\"]\n  21 -> 23 [size =\"8896512\"]\n  21 -> 24 [size =\"8896512\"]\n  21 -> 25 [size =\"8896512\"]\n  21 -> 26 [size =\"8896512\"]\n  22 [size=\"106789547\", alpha=\"0.15\", expect_size=\"32036864\"] \n  22 -> 27 [size =\"32036864\"]\n  22 -> 29 [size =\"32036864\"]\n  22 -> 32 [size =\"32036864\"]\n  22 -> 32 [size =\"32036864\"]\n  23 [size=\"62078293\", alpha=\"0.04\", expect_size=\"18623488\"] \n  23 -> 27 [size =\"18623488\"]\n  23 -> 29 [size =\"18623488\"]\n  24 [size=\"53678080\", alpha=\"0.01\", expect_size=\"16103424\"] \n  24 -> 27 [size =\"16103424\"]\n  24 -> 28 [size =\"16103424\"]\n  24 -> 29 [size =\"16103424\"]\n  24 -> 31 [size =\"16103424\"]\n  25 [size=\"131095893\", alpha=\"0.19\", expect_size=\"39328768\"] \n  25 -> 27 [size =\"39328768\"]\n  25 -> 29 [size =\"39328768\"]\n  25 -> 31 [size =\"39328768\"]\n  25 -> 31 [size =\"39328768\"]\n  26 [size=\"172308480\", alpha=\"0.03\", expect_size=\"51692544\"] \n  26 -> 27 [size =\"51692544\"]\n  26 -> 29 [size =\"51692544\"]\n  26 -> 30 [size =\"51692544\"]\n  26 -> 32 [size =\"51692544\"]\n  27 [size=\"38662827\", alpha=\"0.01\", expect_size=\"11598848\"] \n  28 [size=\"138171733\", alpha=\"0.13\", expect_size=\"41451520\"] \n  28 -> 35 [size =\"41451520\"]\n  28 -> 37 [size =\"41451520\"]\n  29 [size=\"145158827\", alpha=\"0.03\", expect_size=\"43547648\"] \n  29 -> 36 [size =\"43547648\"]\n  29 -> 38 [size =\"43547648\"]\n  30 [size=\"114715307\", alpha=\"0.17\", expect_size=\"34414592\"] \n  30 -> 33 [size =\"34414592\"]\n  30 -> 36 [size =\"34414592\"]\n  31 [size=\"157358080\", alpha=\"0.14\", expect_size=\"47207424\"] \n  31 -> 34 [size =\"47207424\"]\n  32 [size=\"44339200\", alpha=\"0.01\", expect_size=\"13301760\"] \n  32 -> 33 [size =\"13301760\"]\n  32 -> 35 [size =\"13301760\"]\n  32 -> 37 [size =\"13301760\"]\n  33 [size=\"165256533\", alpha=\"0.08\", expect_size=\"49576960\"] \n  33 -> 39 [size =\"49576960\"]\n  33 -> 40 [size =\"49576960\"]\n  34 [size=\"41799680\", alpha=\"0.07\", expect_size=\"12539904\"] \n  34 -> 39 [size =\"12539904\"]\n  34 -> 40 [size =\"12539904\"]\n  35 [size=\"46076587\", alpha=\"0.07\", expect_size=\"13822976\"] \n  35 -> 39 [size =\"13822976\"]\n  35 -> 40 [size =\"13822976\"]\n  36 [size=\"34655573\", alpha=\"0.10\", expect_size=\"10396672\"] \n  36 -> 39 [size =\"10396672\"]\n  36 -> 40 [size =\"10396672\"]\n  37 [size=\"55736320\", alpha=\"0.04\", expect_size=\"16720896\"] \n  37 -> 39 [size =\"16720896\"]\n  37 -> 40 [size =\"16720896\"]\n  38 [size=\"66785280\", alpha=\"0.01\", expect_size=\"20035584\"] \n  39 [size=\"166423893\", alpha=\"0.09\", expect_size=\"49927168\"] \n  40 [size=\"29904213\", alpha=\"0.16\", expect_size=\"8971264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24999936\", alpha=\"0.07\", expect_size=\"12499968\"] \n  1 -> 9 [size =\"12499968\"]\n  2 [size=\"38539264\", alpha=\"0.13\", expect_size=\"19269632\"] \n  2 -> 9 [size =\"19269632\"]\n  3 [size=\"98998272\", alpha=\"0.18\", expect_size=\"49499136\"] \n  3 -> 7 [size =\"49499136\"]\n  3 -> 8 [size =\"49499136\"]\n  4 [size=\"94392320\", alpha=\"0.06\", expect_size=\"47196160\"] \n  5 [size=\"79046656\", alpha=\"0.10\", expect_size=\"39523328\"] \n  6 [size=\"61546496\", alpha=\"0.17\", expect_size=\"30773248\"] \n  6 -> 7 [size =\"30773248\"]\n  6 -> 9 [size =\"30773248\"]\n  7 [size=\"70885376\", alpha=\"0.15\", expect_size=\"35442688\"] \n  7 -> 13 [size =\"35442688\"]\n  7 -> 14 [size =\"35442688\"]\n  8 [size=\"33499136\", alpha=\"0.06\", expect_size=\"16749568\"] \n  8 -> 12 [size =\"16749568\"]\n  8 -> 13 [size =\"16749568\"]\n  9 [size=\"46002176\", alpha=\"0.20\", expect_size=\"23001088\"] \n  9 -> 10 [size =\"23001088\"]\n  9 -> 11 [size =\"23001088\"]\n  10 [size=\"12797952\", alpha=\"0.07\", expect_size=\"6398976\"] \n  10 -> 17 [size =\"6398976\"]\n  11 [size=\"13285376\", alpha=\"0.18\", expect_size=\"6642688\"] \n  11 -> 16 [size =\"6642688\"]\n  12 [size=\"47704064\", alpha=\"0.19\", expect_size=\"23852032\"] \n  12 -> 16 [size =\"23852032\"]\n  12 -> 17 [size =\"23852032\"]\n  13 [size=\"13498368\", alpha=\"0.02\", expect_size=\"6749184\"] \n  13 -> 15 [size =\"6749184\"]\n  13 -> 18 [size =\"6749184\"]\n  13 -> 19 [size =\"6749184\"]\n  13 -> 20 [size =\"6749184\"]\n  14 [size=\"100212736\", alpha=\"0.10\", expect_size=\"50106368\"] \n  14 -> 18 [size =\"50106368\"]\n  14 -> 21 [size =\"50106368\"]\n  15 [size=\"34883584\", alpha=\"0.08\", expect_size=\"17441792\"] \n  16 [size=\"80041984\", alpha=\"0.05\", expect_size=\"40020992\"] \n  16 -> 25 [size =\"40020992\"]\n  17 [size=\"68118528\", alpha=\"0.12\", expect_size=\"34059264\"] \n  17 -> 22 [size =\"34059264\"]\n  17 -> 23 [size =\"34059264\"]\n  18 [size=\"44267520\", alpha=\"0.05\", expect_size=\"22133760\"] \n  18 -> 23 [size =\"22133760\"]\n  18 -> 24 [size =\"22133760\"]\n  19 [size=\"71653376\", alpha=\"0.07\", expect_size=\"35826688\"] \n  19 -> 27 [size =\"35826688\"]\n  20 [size=\"70053888\", alpha=\"0.01\", expect_size=\"35026944\"] \n  20 -> 22 [size =\"35026944\"]\n  21 [size=\"103868416\", alpha=\"0.19\", expect_size=\"51934208\"] \n  21 -> 26 [size =\"51934208\"]\n  22 [size=\"95836160\", alpha=\"0.03\", expect_size=\"47918080\"] \n  23 [size=\"90302464\", alpha=\"0.05\", expect_size=\"45151232\"] \n  23 -> 28 [size =\"45151232\"]\n  23 -> 29 [size =\"45151232\"]\n  23 -> 30 [size =\"45151232\"]\n  23 -> 32 [size =\"45151232\"]\n  24 [size=\"98762752\", alpha=\"0.06\", expect_size=\"49381376\"] \n  24 -> 28 [size =\"49381376\"]\n  25 [size=\"53415936\", alpha=\"0.00\", expect_size=\"26707968\"] \n  26 [size=\"90685440\", alpha=\"0.06\", expect_size=\"45342720\"] \n  26 -> 29 [size =\"45342720\"]\n  26 -> 31 [size =\"45342720\"]\n  26 -> 33 [size =\"45342720\"]\n  27 [size=\"18845696\", alpha=\"0.04\", expect_size=\"9422848\"] \n  27 -> 28 [size =\"9422848\"]\n  27 -> 33 [size =\"9422848\"]\n  28 [size=\"76175360\", alpha=\"0.08\", expect_size=\"38087680\"] \n  28 -> 37 [size =\"38087680\"]\n  28 -> 38 [size =\"38087680\"]\n  29 [size=\"99317760\", alpha=\"0.18\", expect_size=\"49658880\"] \n  30 [size=\"36722688\", alpha=\"0.10\", expect_size=\"18361344\"] \n  30 -> 34 [size =\"18361344\"]\n  30 -> 35 [size =\"18361344\"]\n  30 -> 36 [size =\"18361344\"]\n  30 -> 37 [size =\"18361344\"]\n  31 [size=\"43354112\", alpha=\"0.01\", expect_size=\"21677056\"] \n  31 -> 34 [size =\"21677056\"]\n  31 -> 35 [size =\"21677056\"]\n  31 -> 37 [size =\"21677056\"]\n  31 -> 38 [size =\"21677056\"]\n  32 [size=\"39354368\", alpha=\"0.01\", expect_size=\"19677184\"] \n  32 -> 34 [size =\"19677184\"]\n  32 -> 35 [size =\"19677184\"]\n  33 [size=\"52776960\", alpha=\"0.02\", expect_size=\"26388480\"] \n  33 -> 38 [size =\"26388480\"]\n  34 [size=\"77766656\", alpha=\"0.01\", expect_size=\"38883328\"] \n  35 [size=\"103858176\", alpha=\"0.06\", expect_size=\"51929088\"] \n  35 -> 39 [size =\"51929088\"]\n  35 -> 40 [size =\"51929088\"]\n  36 [size=\"10868736\", alpha=\"0.05\", expect_size=\"5434368\"] \n  36 -> 40 [size =\"5434368\"]\n  37 [size=\"38604800\", alpha=\"0.17\", expect_size=\"19302400\"] \n  38 [size=\"58722304\", alpha=\"0.15\", expect_size=\"29361152\"] \n  38 -> 39 [size =\"29361152\"]\n  39 [size=\"94238720\", alpha=\"0.07\", expect_size=\"47119360\"] \n  40 [size=\"86294528\", alpha=\"0.11\", expect_size=\"43147264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73656320\", alpha=\"0.18\", expect_size=\"22096896\"] \n  1 -> 2 [size =\"22096896\"]\n  2 [size=\"125463893\", alpha=\"0.06\", expect_size=\"37639168\"] \n  2 -> 3 [size =\"37639168\"]\n  3 [size=\"57449813\", alpha=\"0.05\", expect_size=\"17234944\"] \n  3 -> 4 [size =\"17234944\"]\n  4 [size=\"107147947\", alpha=\"0.12\", expect_size=\"32144384\"] \n  4 -> 5 [size =\"32144384\"]\n  5 [size=\"104519680\", alpha=\"0.08\", expect_size=\"31355904\"] \n  5 -> 6 [size =\"31355904\"]\n  6 [size=\"73359360\", alpha=\"0.19\", expect_size=\"22007808\"] \n  6 -> 7 [size =\"22007808\"]\n  7 [size=\"113940480\", alpha=\"0.06\", expect_size=\"34182144\"] \n  7 -> 8 [size =\"34182144\"]\n  8 [size=\"93074773\", alpha=\"0.13\", expect_size=\"27922432\"] \n  8 -> 9 [size =\"27922432\"]\n  9 [size=\"81356800\", alpha=\"0.00\", expect_size=\"24407040\"] \n  9 -> 10 [size =\"24407040\"]\n  10 [size=\"161297067\", alpha=\"0.19\", expect_size=\"48389120\"] \n  10 -> 11 [size =\"48389120\"]\n  11 [size=\"125446827\", alpha=\"0.16\", expect_size=\"37634048\"] \n  11 -> 12 [size =\"37634048\"]\n  12 [size=\"108482560\", alpha=\"0.17\", expect_size=\"32544768\"] \n  12 -> 13 [size =\"32544768\"]\n  13 [size=\"157620907\", alpha=\"0.14\", expect_size=\"47286272\"] \n  13 -> 14 [size =\"47286272\"]\n  14 [size=\"36406613\", alpha=\"0.04\", expect_size=\"10921984\"] \n  14 -> 15 [size =\"10921984\"]\n  15 [size=\"130809173\", alpha=\"0.12\", expect_size=\"39242752\"] \n  15 -> 16 [size =\"39242752\"]\n  16 [size=\"33843200\", alpha=\"0.17\", expect_size=\"10152960\"] \n  16 -> 17 [size =\"10152960\"]\n  17 [size=\"24995840\", alpha=\"0.10\", expect_size=\"7498752\"] \n  17 -> 18 [size =\"7498752\"]\n  18 [size=\"74827093\", alpha=\"0.17\", expect_size=\"22448128\"] \n  18 -> 19 [size =\"22448128\"]\n  19 [size=\"19725653\", alpha=\"0.05\", expect_size=\"5917696\"] \n  19 -> 20 [size =\"5917696\"]\n  20 [size=\"19752960\", alpha=\"0.16\", expect_size=\"5925888\"] \n  20 -> 21 [size =\"5925888\"]\n  21 [size=\"168823467\", alpha=\"0.13\", expect_size=\"50647040\"] \n  21 -> 22 [size =\"50647040\"]\n  22 [size=\"134427307\", alpha=\"0.05\", expect_size=\"40328192\"] \n  22 -> 23 [size =\"40328192\"]\n  23 [size=\"112209920\", alpha=\"0.01\", expect_size=\"33662976\"] \n  23 -> 24 [size =\"33662976\"]\n  24 [size=\"68444160\", alpha=\"0.09\", expect_size=\"20533248\"] \n  24 -> 25 [size =\"20533248\"]\n  25 [size=\"103079253\", alpha=\"0.08\", expect_size=\"30923776\"] \n  25 -> 26 [size =\"30923776\"]\n  26 [size=\"41373013\", alpha=\"0.14\", expect_size=\"12411904\"] \n  26 -> 27 [size =\"12411904\"]\n  27 [size=\"172393813\", alpha=\"0.13\", expect_size=\"51718144\"] \n  27 -> 28 [size =\"51718144\"]\n  28 [size=\"93293227\", alpha=\"0.00\", expect_size=\"27987968\"] \n  28 -> 29 [size =\"27987968\"]\n  29 [size=\"71318187\", alpha=\"0.17\", expect_size=\"21395456\"] \n  29 -> 30 [size =\"21395456\"]\n  30 [size=\"111646720\", alpha=\"0.11\", expect_size=\"33494016\"] \n  30 -> 31 [size =\"33494016\"]\n  31 [size=\"77564587\", alpha=\"0.19\", expect_size=\"23269376\"] \n  31 -> 32 [size =\"23269376\"]\n  32 [size=\"25258667\", alpha=\"0.19\", expect_size=\"7577600\"] \n  32 -> 33 [size =\"7577600\"]\n  33 [size=\"62713173\", alpha=\"0.16\", expect_size=\"18813952\"] \n  33 -> 34 [size =\"18813952\"]\n  34 [size=\"72622080\", alpha=\"0.16\", expect_size=\"21786624\"] \n  34 -> 35 [size =\"21786624\"]\n  35 [size=\"144653653\", alpha=\"0.10\", expect_size=\"43396096\"] \n  35 -> 36 [size =\"43396096\"]\n  36 [size=\"51285333\", alpha=\"0.07\", expect_size=\"15385600\"] \n  36 -> 37 [size =\"15385600\"]\n  37 [size=\"162973013\", alpha=\"0.04\", expect_size=\"48891904\"] \n  37 -> 38 [size =\"48891904\"]\n  38 [size=\"104321707\", alpha=\"0.09\", expect_size=\"31296512\"] \n  38 -> 39 [size =\"31296512\"]\n  39 [size=\"108223147\", alpha=\"0.14\", expect_size=\"32466944\"] \n  39 -> 40 [size =\"32466944\"]\n  40 [size=\"81268053\", alpha=\"0.19\", expect_size=\"24380416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103716864\", alpha=\"0.19\", expect_size=\"51858432\"] \n  1 -> 5 [size =\"51858432\"]\n  1 -> 6 [size =\"51858432\"]\n  2 [size=\"76926976\", alpha=\"0.10\", expect_size=\"38463488\"] \n  3 [size=\"19359744\", alpha=\"0.01\", expect_size=\"9679872\"] \n  4 [size=\"82606080\", alpha=\"0.10\", expect_size=\"41303040\"] \n  4 -> 6 [size =\"41303040\"]\n  5 [size=\"24940544\", alpha=\"0.00\", expect_size=\"12470272\"] \n  5 -> 7 [size =\"12470272\"]\n  5 -> 8 [size =\"12470272\"]\n  5 -> 9 [size =\"12470272\"]\n  6 [size=\"67565568\", alpha=\"0.06\", expect_size=\"33782784\"] \n  6 -> 7 [size =\"33782784\"]\n  6 -> 8 [size =\"33782784\"]\n  6 -> 9 [size =\"33782784\"]\n  7 [size=\"35952640\", alpha=\"0.04\", expect_size=\"17976320\"] \n  7 -> 12 [size =\"17976320\"]\n  7 -> 13 [size =\"17976320\"]\n  8 [size=\"38432768\", alpha=\"0.17\", expect_size=\"19216384\"] \n  8 -> 10 [size =\"19216384\"]\n  8 -> 11 [size =\"19216384\"]\n  8 -> 13 [size =\"19216384\"]\n  9 [size=\"26839040\", alpha=\"0.06\", expect_size=\"13419520\"] \n  9 -> 10 [size =\"13419520\"]\n  9 -> 11 [size =\"13419520\"]\n  10 [size=\"68999168\", alpha=\"0.03\", expect_size=\"34499584\"] \n  10 -> 14 [size =\"34499584\"]\n  10 -> 16 [size =\"34499584\"]\n  11 [size=\"13031424\", alpha=\"0.16\", expect_size=\"6515712\"] \n  11 -> 14 [size =\"6515712\"]\n  11 -> 17 [size =\"6515712\"]\n  12 [size=\"102649856\", alpha=\"0.05\", expect_size=\"51324928\"] \n  12 -> 15 [size =\"51324928\"]\n  12 -> 17 [size =\"51324928\"]\n  13 [size=\"57395200\", alpha=\"0.11\", expect_size=\"28697600\"] \n  13 -> 16 [size =\"28697600\"]\n  14 [size=\"60358656\", alpha=\"0.17\", expect_size=\"30179328\"] \n  14 -> 18 [size =\"30179328\"]\n  15 [size=\"11902976\", alpha=\"0.09\", expect_size=\"5951488\"] \n  16 [size=\"12716032\", alpha=\"0.01\", expect_size=\"6358016\"] \n  16 -> 18 [size =\"6358016\"]\n  17 [size=\"40624128\", alpha=\"0.13\", expect_size=\"20312064\"] \n  17 -> 18 [size =\"20312064\"]\n  18 [size=\"57874432\", alpha=\"0.01\", expect_size=\"28937216\"] \n  18 -> 19 [size =\"28937216\"]\n  18 -> 20 [size =\"28937216\"]\n  18 -> 21 [size =\"28937216\"]\n  19 [size=\"45725696\", alpha=\"0.17\", expect_size=\"22862848\"] \n  19 -> 22 [size =\"22862848\"]\n  19 -> 23 [size =\"22862848\"]\n  19 -> 24 [size =\"22862848\"]\n  20 [size=\"71931904\", alpha=\"0.15\", expect_size=\"35965952\"] \n  20 -> 24 [size =\"35965952\"]\n  21 [size=\"83896320\", alpha=\"0.13\", expect_size=\"41948160\"] \n  21 -> 22 [size =\"41948160\"]\n  21 -> 23 [size =\"41948160\"]\n  22 [size=\"62873600\", alpha=\"0.06\", expect_size=\"31436800\"] \n  22 -> 26 [size =\"31436800\"]\n  22 -> 27 [size =\"31436800\"]\n  23 [size=\"85364736\", alpha=\"0.00\", expect_size=\"42682368\"] \n  23 -> 25 [size =\"42682368\"]\n  23 -> 27 [size =\"42682368\"]\n  23 -> 28 [size =\"42682368\"]\n  24 [size=\"41476096\", alpha=\"0.10\", expect_size=\"20738048\"] \n  24 -> 25 [size =\"20738048\"]\n  24 -> 28 [size =\"20738048\"]\n  25 [size=\"25772032\", alpha=\"0.02\", expect_size=\"12886016\"] \n  26 [size=\"69154816\", alpha=\"0.07\", expect_size=\"34577408\"] \n  26 -> 30 [size =\"34577408\"]\n  27 [size=\"75116544\", alpha=\"0.17\", expect_size=\"37558272\"] \n  27 -> 29 [size =\"37558272\"]\n  28 [size=\"41222144\", alpha=\"0.13\", expect_size=\"20611072\"] \n  29 [size=\"44883968\", alpha=\"0.13\", expect_size=\"22441984\"] \n  29 -> 31 [size =\"22441984\"]\n  30 [size=\"29120512\", alpha=\"0.04\", expect_size=\"14560256\"] \n  30 -> 31 [size =\"14560256\"]\n  30 -> 32 [size =\"14560256\"]\n  31 [size=\"100837376\", alpha=\"0.17\", expect_size=\"50418688\"] \n  31 -> 33 [size =\"50418688\"]\n  32 [size=\"70148096\", alpha=\"0.09\", expect_size=\"35074048\"] \n  32 -> 34 [size =\"35074048\"]\n  33 [size=\"97865728\", alpha=\"0.11\", expect_size=\"48932864\"] \n  33 -> 35 [size =\"48932864\"]\n  34 [size=\"98494464\", alpha=\"0.03\", expect_size=\"49247232\"] \n  34 -> 35 [size =\"49247232\"]\n  35 [size=\"49784832\", alpha=\"0.16\", expect_size=\"24892416\"] \n  35 -> 36 [size =\"24892416\"]\n  35 -> 37 [size =\"24892416\"]\n  35 -> 38 [size =\"24892416\"]\n  35 -> 39 [size =\"24892416\"]\n  36 [size=\"60563456\", alpha=\"0.09\", expect_size=\"30281728\"] \n  37 [size=\"93540352\", alpha=\"0.09\", expect_size=\"46770176\"] \n  37 -> 40 [size =\"46770176\"]\n  38 [size=\"79808512\", alpha=\"0.19\", expect_size=\"39904256\"] \n  38 -> 40 [size =\"39904256\"]\n  39 [size=\"47319040\", alpha=\"0.16\", expect_size=\"23659520\"] \n  40 [size=\"12423168\", alpha=\"0.06\", expect_size=\"6211584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82851840\", alpha=\"0.05\", expect_size=\"41425920\"] \n  1 -> 31 [size =\"41425920\"]\n  1 -> 32 [size =\"41425920\"]\n  1 -> 33 [size =\"41425920\"]\n  1 -> 37 [size =\"41425920\"]\n  1 -> 40 [size =\"41425920\"]\n  2 [size=\"101441536\", alpha=\"0.05\", expect_size=\"50720768\"] \n  2 -> 31 [size =\"50720768\"]\n  2 -> 32 [size =\"50720768\"]\n  2 -> 33 [size =\"50720768\"]\n  2 -> 34 [size =\"50720768\"]\n  2 -> 37 [size =\"50720768\"]\n  2 -> 38 [size =\"50720768\"]\n  2 -> 40 [size =\"50720768\"]\n  3 [size=\"103272448\", alpha=\"0.18\", expect_size=\"51636224\"] \n  3 -> 31 [size =\"51636224\"]\n  3 -> 32 [size =\"51636224\"]\n  3 -> 33 [size =\"51636224\"]\n  3 -> 37 [size =\"51636224\"]\n  3 -> 40 [size =\"51636224\"]\n  4 [size=\"82649088\", alpha=\"0.09\", expect_size=\"41324544\"] \n  4 -> 31 [size =\"41324544\"]\n  4 -> 32 [size =\"41324544\"]\n  4 -> 34 [size =\"41324544\"]\n  4 -> 37 [size =\"41324544\"]\n  4 -> 39 [size =\"41324544\"]\n  5 [size=\"46639104\", alpha=\"0.10\", expect_size=\"23319552\"] \n  5 -> 32 [size =\"23319552\"]\n  5 -> 32 [size =\"23319552\"]\n  5 -> 33 [size =\"23319552\"]\n  5 -> 34 [size =\"23319552\"]\n  5 -> 37 [size =\"23319552\"]\n  6 [size=\"102000640\", alpha=\"0.05\", expect_size=\"51000320\"] \n  6 -> 31 [size =\"51000320\"]\n  6 -> 32 [size =\"51000320\"]\n  6 -> 34 [size =\"51000320\"]\n  6 -> 37 [size =\"51000320\"]\n  6 -> 39 [size =\"51000320\"]\n  6 -> 40 [size =\"51000320\"]\n  7 [size=\"25116672\", alpha=\"0.14\", expect_size=\"12558336\"] \n  7 -> 32 [size =\"12558336\"]\n  7 -> 32 [size =\"12558336\"]\n  7 -> 33 [size =\"12558336\"]\n  7 -> 34 [size =\"12558336\"]\n  7 -> 37 [size =\"12558336\"]\n  7 -> 38 [size =\"12558336\"]\n  7 -> 39 [size =\"12558336\"]\n  8 [size=\"35151872\", alpha=\"0.05\", expect_size=\"17575936\"] \n  8 -> 31 [size =\"17575936\"]\n  8 -> 32 [size =\"17575936\"]\n  8 -> 34 [size =\"17575936\"]\n  8 -> 37 [size =\"17575936\"]\n  8 -> 38 [size =\"17575936\"]\n  8 -> 39 [size =\"17575936\"]\n  9 [size=\"94599168\", alpha=\"0.06\", expect_size=\"47299584\"] \n  9 -> 32 [size =\"47299584\"]\n  9 -> 33 [size =\"47299584\"]\n  9 -> 37 [size =\"47299584\"]\n  9 -> 37 [size =\"47299584\"]\n  9 -> 39 [size =\"47299584\"]\n  10 [size=\"21661696\", alpha=\"0.20\", expect_size=\"10830848\"] \n  10 -> 32 [size =\"10830848\"]\n  10 -> 33 [size =\"10830848\"]\n  10 -> 34 [size =\"10830848\"]\n  10 -> 37 [size =\"10830848\"]\n  10 -> 38 [size =\"10830848\"]\n  10 -> 39 [size =\"10830848\"]\n  11 [size=\"79179776\", alpha=\"0.12\", expect_size=\"39589888\"] \n  11 -> 33 [size =\"39589888\"]\n  11 -> 33 [size =\"39589888\"]\n  11 -> 34 [size =\"39589888\"]\n  11 -> 36 [size =\"39589888\"]\n  11 -> 37 [size =\"39589888\"]\n  11 -> 39 [size =\"39589888\"]\n  12 [size=\"102825984\", alpha=\"0.03\", expect_size=\"51412992\"] \n  12 -> 32 [size =\"51412992\"]\n  12 -> 33 [size =\"51412992\"]\n  12 -> 34 [size =\"51412992\"]\n  12 -> 37 [size =\"51412992\"]\n  12 -> 38 [size =\"51412992\"]\n  12 -> 39 [size =\"51412992\"]\n  13 [size=\"34224128\", alpha=\"0.04\", expect_size=\"17112064\"] \n  13 -> 31 [size =\"17112064\"]\n  13 -> 32 [size =\"17112064\"]\n  13 -> 33 [size =\"17112064\"]\n  13 -> 34 [size =\"17112064\"]\n  13 -> 37 [size =\"17112064\"]\n  14 [size=\"26552320\", alpha=\"0.02\", expect_size=\"13276160\"] \n  14 -> 31 [size =\"13276160\"]\n  14 -> 32 [size =\"13276160\"]\n  14 -> 33 [size =\"13276160\"]\n  14 -> 34 [size =\"13276160\"]\n  14 -> 37 [size =\"13276160\"]\n  14 -> 39 [size =\"13276160\"]\n  15 [size=\"68515840\", alpha=\"0.00\", expect_size=\"34257920\"] \n  15 -> 32 [size =\"34257920\"]\n  15 -> 33 [size =\"34257920\"]\n  15 -> 33 [size =\"34257920\"]\n  15 -> 34 [size =\"34257920\"]\n  16 [size=\"21719040\", alpha=\"0.12\", expect_size=\"10859520\"] \n  16 -> 31 [size =\"10859520\"]\n  16 -> 33 [size =\"10859520\"]\n  16 -> 34 [size =\"10859520\"]\n  16 -> 39 [size =\"10859520\"]\n  17 [size=\"47513600\", alpha=\"0.16\", expect_size=\"23756800\"] \n  17 -> 34 [size =\"23756800\"]\n  17 -> 38 [size =\"23756800\"]\n  17 -> 39 [size =\"23756800\"]\n  18 [size=\"18124800\", alpha=\"0.20\", expect_size=\"9062400\"] \n  18 -> 32 [size =\"9062400\"]\n  18 -> 34 [size =\"9062400\"]\n  18 -> 37 [size =\"9062400\"]\n  19 [size=\"40865792\", alpha=\"0.01\", expect_size=\"20432896\"] \n  19 -> 32 [size =\"20432896\"]\n  19 -> 33 [size =\"20432896\"]\n  19 -> 34 [size =\"20432896\"]\n  19 -> 37 [size =\"20432896\"]\n  19 -> 40 [size =\"20432896\"]\n  20 [size=\"68397056\", alpha=\"0.07\", expect_size=\"34198528\"] \n  20 -> 32 [size =\"34198528\"]\n  20 -> 34 [size =\"34198528\"]\n  20 -> 37 [size =\"34198528\"]\n  20 -> 39 [size =\"34198528\"]\n  20 -> 40 [size =\"34198528\"]\n  21 [size=\"66703360\", alpha=\"0.09\", expect_size=\"33351680\"] \n  21 -> 33 [size =\"33351680\"]\n  21 -> 34 [size =\"33351680\"]\n  21 -> 37 [size =\"33351680\"]\n  21 -> 38 [size =\"33351680\"]\n  21 -> 40 [size =\"33351680\"]\n  22 [size=\"28205056\", alpha=\"0.10\", expect_size=\"14102528\"] \n  22 -> 33 [size =\"14102528\"]\n  22 -> 34 [size =\"14102528\"]\n  22 -> 37 [size =\"14102528\"]\n  22 -> 38 [size =\"14102528\"]\n  22 -> 39 [size =\"14102528\"]\n  23 [size=\"40392704\", alpha=\"0.10\", expect_size=\"20196352\"] \n  23 -> 32 [size =\"20196352\"]\n  23 -> 33 [size =\"20196352\"]\n  23 -> 37 [size =\"20196352\"]\n  23 -> 38 [size =\"20196352\"]\n  24 [size=\"58187776\", alpha=\"0.06\", expect_size=\"29093888\"] \n  24 -> 31 [size =\"29093888\"]\n  24 -> 32 [size =\"29093888\"]\n  24 -> 34 [size =\"29093888\"]\n  24 -> 37 [size =\"29093888\"]\n  24 -> 38 [size =\"29093888\"]\n  24 -> 39 [size =\"29093888\"]\n  25 [size=\"69203968\", alpha=\"0.10\", expect_size=\"34601984\"] \n  25 -> 33 [size =\"34601984\"]\n  25 -> 34 [size =\"34601984\"]\n  25 -> 37 [size =\"34601984\"]\n  25 -> 38 [size =\"34601984\"]\n  25 -> 39 [size =\"34601984\"]\n  26 [size=\"70658048\", alpha=\"0.13\", expect_size=\"35329024\"] \n  26 -> 31 [size =\"35329024\"]\n  26 -> 34 [size =\"35329024\"]\n  26 -> 35 [size =\"35329024\"]\n  26 -> 37 [size =\"35329024\"]\n  26 -> 38 [size =\"35329024\"]\n  26 -> 39 [size =\"35329024\"]\n  26 -> 40 [size =\"35329024\"]\n  27 [size=\"32532480\", alpha=\"0.19\", expect_size=\"16266240\"] \n  27 -> 32 [size =\"16266240\"]\n  27 -> 33 [size =\"16266240\"]\n  27 -> 37 [size =\"16266240\"]\n  27 -> 37 [size =\"16266240\"]\n  27 -> 40 [size =\"16266240\"]\n  28 [size=\"12427264\", alpha=\"0.10\", expect_size=\"6213632\"] \n  28 -> 31 [size =\"6213632\"]\n  28 -> 32 [size =\"6213632\"]\n  28 -> 34 [size =\"6213632\"]\n  28 -> 37 [size =\"6213632\"]\n  28 -> 39 [size =\"6213632\"]\n  29 [size=\"12128256\", alpha=\"0.19\", expect_size=\"6064128\"] \n  29 -> 33 [size =\"6064128\"]\n  29 -> 34 [size =\"6064128\"]\n  29 -> 34 [size =\"6064128\"]\n  29 -> 39 [size =\"6064128\"]\n  30 [size=\"14493696\", alpha=\"0.11\", expect_size=\"7246848\"] \n  30 -> 32 [size =\"7246848\"]\n  30 -> 33 [size =\"7246848\"]\n  31 [size=\"46878720\", alpha=\"0.17\", expect_size=\"23439360\"] \n  32 [size=\"87281664\", alpha=\"0.02\", expect_size=\"43640832\"] \n  33 [size=\"37914624\", alpha=\"0.13\", expect_size=\"18957312\"] \n  34 [size=\"85938176\", alpha=\"0.07\", expect_size=\"42969088\"] \n  35 [size=\"20402176\", alpha=\"0.14\", expect_size=\"10201088\"] \n  36 [size=\"66203648\", alpha=\"0.02\", expect_size=\"33101824\"] \n  37 [size=\"31744000\", alpha=\"0.19\", expect_size=\"15872000\"] \n  38 [size=\"26025984\", alpha=\"0.17\", expect_size=\"13012992\"] \n  39 [size=\"73717760\", alpha=\"0.02\", expect_size=\"36858880\"] \n  40 [size=\"70189056\", alpha=\"0.19\", expect_size=\"35094528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43450880\", alpha=\"0.08\", expect_size=\"17380352\"] \n  1 -> 12 [size =\"17380352\"]\n  2 [size=\"44661760\", alpha=\"0.12\", expect_size=\"17864704\"] \n  2 -> 16 [size =\"17864704\"]\n  3 [size=\"41272320\", alpha=\"0.02\", expect_size=\"16508928\"] \n  3 -> 15 [size =\"16508928\"]\n  3 -> 21 [size =\"16508928\"]\n  4 [size=\"41730560\", alpha=\"0.08\", expect_size=\"16692224\"] \n  4 -> 17 [size =\"16692224\"]\n  4 -> 18 [size =\"16692224\"]\n  5 [size=\"111267840\", alpha=\"0.00\", expect_size=\"44507136\"] \n  5 -> 13 [size =\"44507136\"]\n  6 [size=\"129177600\", alpha=\"0.06\", expect_size=\"51671040\"] \n  6 -> 19 [size =\"51671040\"]\n  6 -> 23 [size =\"51671040\"]\n  7 [size=\"50803200\", alpha=\"0.00\", expect_size=\"20321280\"] \n  7 -> 12 [size =\"20321280\"]\n  7 -> 14 [size =\"20321280\"]\n  7 -> 19 [size =\"20321280\"]\n  7 -> 22 [size =\"20321280\"]\n  7 -> 23 [size =\"20321280\"]\n  8 [size=\"94858240\", alpha=\"0.07\", expect_size=\"37943296\"] \n  8 -> 14 [size =\"37943296\"]\n  9 [size=\"65917440\", alpha=\"0.06\", expect_size=\"26366976\"] \n  9 -> 12 [size =\"26366976\"]\n  9 -> 16 [size =\"26366976\"]\n  9 -> 17 [size =\"26366976\"]\n  9 -> 20 [size =\"26366976\"]\n  10 [size=\"81981440\", alpha=\"0.14\", expect_size=\"32792576\"] \n  10 -> 12 [size =\"32792576\"]\n  10 -> 14 [size =\"32792576\"]\n  10 -> 15 [size =\"32792576\"]\n  10 -> 19 [size =\"32792576\"]\n  10 -> 20 [size =\"32792576\"]\n  11 [size=\"67624960\", alpha=\"0.07\", expect_size=\"27049984\"] \n  11 -> 12 [size =\"27049984\"]\n  11 -> 13 [size =\"27049984\"]\n  11 -> 14 [size =\"27049984\"]\n  11 -> 18 [size =\"27049984\"]\n  11 -> 20 [size =\"27049984\"]\n  12 [size=\"116318720\", alpha=\"0.14\", expect_size=\"46527488\"] \n  12 -> 24 [size =\"46527488\"]\n  12 -> 28 [size =\"46527488\"]\n  12 -> 32 [size =\"46527488\"]\n  12 -> 37 [size =\"46527488\"]\n  12 -> 38 [size =\"46527488\"]\n  12 -> 40 [size =\"46527488\"]\n  13 [size=\"69470720\", alpha=\"0.03\", expect_size=\"27788288\"] \n  13 -> 25 [size =\"27788288\"]\n  13 -> 29 [size =\"27788288\"]\n  13 -> 30 [size =\"27788288\"]\n  13 -> 35 [size =\"27788288\"]\n  13 -> 40 [size =\"27788288\"]\n  14 [size=\"81121280\", alpha=\"0.04\", expect_size=\"32448512\"] \n  14 -> 26 [size =\"32448512\"]\n  14 -> 27 [size =\"32448512\"]\n  14 -> 29 [size =\"32448512\"]\n  14 -> 35 [size =\"32448512\"]\n  14 -> 40 [size =\"32448512\"]\n  15 [size=\"125775360\", alpha=\"0.02\", expect_size=\"50310144\"] \n  15 -> 28 [size =\"50310144\"]\n  15 -> 29 [size =\"50310144\"]\n  15 -> 30 [size =\"50310144\"]\n  15 -> 40 [size =\"50310144\"]\n  16 [size=\"127283200\", alpha=\"0.04\", expect_size=\"50913280\"] \n  16 -> 24 [size =\"50913280\"]\n  16 -> 26 [size =\"50913280\"]\n  16 -> 28 [size =\"50913280\"]\n  16 -> 32 [size =\"50913280\"]\n  16 -> 35 [size =\"50913280\"]\n  16 -> 38 [size =\"50913280\"]\n  16 -> 39 [size =\"50913280\"]\n  16 -> 40 [size =\"50913280\"]\n  17 [size=\"46717440\", alpha=\"0.07\", expect_size=\"18686976\"] \n  17 -> 28 [size =\"18686976\"]\n  17 -> 29 [size =\"18686976\"]\n  17 -> 30 [size =\"18686976\"]\n  17 -> 31 [size =\"18686976\"]\n  17 -> 32 [size =\"18686976\"]\n  17 -> 38 [size =\"18686976\"]\n  17 -> 39 [size =\"18686976\"]\n  18 [size=\"49571840\", alpha=\"0.01\", expect_size=\"19828736\"] \n  18 -> 24 [size =\"19828736\"]\n  18 -> 28 [size =\"19828736\"]\n  18 -> 30 [size =\"19828736\"]\n  18 -> 35 [size =\"19828736\"]\n  18 -> 37 [size =\"19828736\"]\n  18 -> 38 [size =\"19828736\"]\n  18 -> 39 [size =\"19828736\"]\n  18 -> 40 [size =\"19828736\"]\n  19 [size=\"89128960\", alpha=\"0.11\", expect_size=\"35651584\"] \n  19 -> 27 [size =\"35651584\"]\n  19 -> 37 [size =\"35651584\"]\n  19 -> 39 [size =\"35651584\"]\n  19 -> 40 [size =\"35651584\"]\n  20 [size=\"121605120\", alpha=\"0.10\", expect_size=\"48642048\"] \n  20 -> 24 [size =\"48642048\"]\n  20 -> 27 [size =\"48642048\"]\n  20 -> 30 [size =\"48642048\"]\n  20 -> 34 [size =\"48642048\"]\n  20 -> 35 [size =\"48642048\"]\n  20 -> 37 [size =\"48642048\"]\n  20 -> 39 [size =\"48642048\"]\n  21 [size=\"88176640\", alpha=\"0.13\", expect_size=\"35270656\"] \n  21 -> 24 [size =\"35270656\"]\n  21 -> 27 [size =\"35270656\"]\n  21 -> 28 [size =\"35270656\"]\n  21 -> 30 [size =\"35270656\"]\n  21 -> 31 [size =\"35270656\"]\n  21 -> 33 [size =\"35270656\"]\n  21 -> 37 [size =\"35270656\"]\n  21 -> 39 [size =\"35270656\"]\n  22 [size=\"128524800\", alpha=\"0.02\", expect_size=\"51409920\"] \n  22 -> 28 [size =\"51409920\"]\n  22 -> 29 [size =\"51409920\"]\n  22 -> 33 [size =\"51409920\"]\n  22 -> 36 [size =\"51409920\"]\n  22 -> 37 [size =\"51409920\"]\n  22 -> 39 [size =\"51409920\"]\n  22 -> 40 [size =\"51409920\"]\n  23 [size=\"94704640\", alpha=\"0.16\", expect_size=\"37881856\"] \n  23 -> 32 [size =\"37881856\"]\n  23 -> 33 [size =\"37881856\"]\n  23 -> 35 [size =\"37881856\"]\n  24 [size=\"113666560\", alpha=\"0.14\", expect_size=\"45466624\"] \n  25 [size=\"21747200\", alpha=\"0.09\", expect_size=\"8698880\"] \n  26 [size=\"33817600\", alpha=\"0.04\", expect_size=\"13527040\"] \n  27 [size=\"59351040\", alpha=\"0.05\", expect_size=\"23740416\"] \n  28 [size=\"98429440\", alpha=\"0.01\", expect_size=\"39371776\"] \n  29 [size=\"104990720\", alpha=\"0.05\", expect_size=\"41996288\"] \n  30 [size=\"53335040\", alpha=\"0.00\", expect_size=\"21334016\"] \n  31 [size=\"110149120\", alpha=\"0.05\", expect_size=\"44059648\"] \n  32 [size=\"69841920\", alpha=\"0.08\", expect_size=\"27936768\"] \n  33 [size=\"81937920\", alpha=\"0.20\", expect_size=\"32775168\"] \n  34 [size=\"56634880\", alpha=\"0.03\", expect_size=\"22653952\"] \n  35 [size=\"22558720\", alpha=\"0.06\", expect_size=\"9023488\"] \n  36 [size=\"77870080\", alpha=\"0.08\", expect_size=\"31148032\"] \n  37 [size=\"102712320\", alpha=\"0.16\", expect_size=\"41084928\"] \n  38 [size=\"16814080\", alpha=\"0.10\", expect_size=\"6725632\"] \n  39 [size=\"19898880\", alpha=\"0.16\", expect_size=\"7959552\"] \n  40 [size=\"46807040\", alpha=\"0.01\", expect_size=\"18722816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71208960\", alpha=\"0.10\", expect_size=\"28483584\"] \n  1 -> 15 [size =\"28483584\"]\n  1 -> 16 [size =\"28483584\"]\n  1 -> 17 [size =\"28483584\"]\n  1 -> 18 [size =\"28483584\"]\n  2 [size=\"67399680\", alpha=\"0.08\", expect_size=\"26959872\"] \n  2 -> 14 [size =\"26959872\"]\n  2 -> 15 [size =\"26959872\"]\n  2 -> 18 [size =\"26959872\"]\n  2 -> 20 [size =\"26959872\"]\n  3 [size=\"126960640\", alpha=\"0.01\", expect_size=\"50784256\"] \n  3 -> 14 [size =\"50784256\"]\n  3 -> 20 [size =\"50784256\"]\n  4 [size=\"91215360\", alpha=\"0.05\", expect_size=\"36486144\"] \n  4 -> 14 [size =\"36486144\"]\n  4 -> 17 [size =\"36486144\"]\n  4 -> 20 [size =\"36486144\"]\n  4 -> 21 [size =\"36486144\"]\n  4 -> 22 [size =\"36486144\"]\n  4 -> 25 [size =\"36486144\"]\n  4 -> 26 [size =\"36486144\"]\n  5 [size=\"100771840\", alpha=\"0.07\", expect_size=\"40308736\"] \n  5 -> 14 [size =\"40308736\"]\n  5 -> 16 [size =\"40308736\"]\n  5 -> 18 [size =\"40308736\"]\n  5 -> 20 [size =\"40308736\"]\n  5 -> 25 [size =\"40308736\"]\n  6 [size=\"64532480\", alpha=\"0.19\", expect_size=\"25812992\"] \n  6 -> 17 [size =\"25812992\"]\n  6 -> 18 [size =\"25812992\"]\n  6 -> 23 [size =\"25812992\"]\n  7 [size=\"15267840\", alpha=\"0.03\", expect_size=\"6107136\"] \n  7 -> 17 [size =\"6107136\"]\n  7 -> 18 [size =\"6107136\"]\n  7 -> 23 [size =\"6107136\"]\n  7 -> 26 [size =\"6107136\"]\n  8 [size=\"34401280\", alpha=\"0.17\", expect_size=\"13760512\"] \n  8 -> 14 [size =\"13760512\"]\n  8 -> 25 [size =\"13760512\"]\n  9 [size=\"94356480\", alpha=\"0.16\", expect_size=\"37742592\"] \n  9 -> 20 [size =\"37742592\"]\n  9 -> 22 [size =\"37742592\"]\n  9 -> 23 [size =\"37742592\"]\n  10 [size=\"50618880\", alpha=\"0.06\", expect_size=\"20247552\"] \n  10 -> 14 [size =\"20247552\"]\n  10 -> 20 [size =\"20247552\"]\n  10 -> 25 [size =\"20247552\"]\n  11 [size=\"38451200\", alpha=\"0.03\", expect_size=\"15380480\"] \n  11 -> 15 [size =\"15380480\"]\n  11 -> 17 [size =\"15380480\"]\n  11 -> 18 [size =\"15380480\"]\n  11 -> 23 [size =\"15380480\"]\n  11 -> 25 [size =\"15380480\"]\n  12 [size=\"96115200\", alpha=\"0.17\", expect_size=\"38446080\"] \n  12 -> 15 [size =\"38446080\"]\n  12 -> 18 [size =\"38446080\"]\n  12 -> 21 [size =\"38446080\"]\n  12 -> 23 [size =\"38446080\"]\n  12 -> 24 [size =\"38446080\"]\n  12 -> 25 [size =\"38446080\"]\n  12 -> 26 [size =\"38446080\"]\n  13 [size=\"26193920\", alpha=\"0.06\", expect_size=\"10477568\"] \n  13 -> 15 [size =\"10477568\"]\n  13 -> 16 [size =\"10477568\"]\n  13 -> 18 [size =\"10477568\"]\n  13 -> 19 [size =\"10477568\"]\n  13 -> 21 [size =\"10477568\"]\n  13 -> 25 [size =\"10477568\"]\n  14 [size=\"31413760\", alpha=\"0.13\", expect_size=\"12565504\"] \n  14 -> 28 [size =\"12565504\"]\n  14 -> 29 [size =\"12565504\"]\n  14 -> 37 [size =\"12565504\"]\n  15 [size=\"60925440\", alpha=\"0.14\", expect_size=\"24370176\"] \n  15 -> 32 [size =\"24370176\"]\n  16 [size=\"104453120\", alpha=\"0.13\", expect_size=\"41781248\"] \n  16 -> 28 [size =\"41781248\"]\n  16 -> 29 [size =\"41781248\"]\n  16 -> 30 [size =\"41781248\"]\n  16 -> 31 [size =\"41781248\"]\n  16 -> 32 [size =\"41781248\"]\n  16 -> 38 [size =\"41781248\"]\n  17 [size=\"95764480\", alpha=\"0.18\", expect_size=\"38305792\"] \n  17 -> 27 [size =\"38305792\"]\n  17 -> 29 [size =\"38305792\"]\n  17 -> 32 [size =\"38305792\"]\n  17 -> 33 [size =\"38305792\"]\n  17 -> 37 [size =\"38305792\"]\n  17 -> 38 [size =\"38305792\"]\n  18 [size=\"113484800\", alpha=\"0.13\", expect_size=\"45393920\"] \n  18 -> 27 [size =\"45393920\"]\n  18 -> 33 [size =\"45393920\"]\n  18 -> 34 [size =\"45393920\"]\n  18 -> 35 [size =\"45393920\"]\n  18 -> 38 [size =\"45393920\"]\n  18 -> 38 [size =\"45393920\"]\n  19 [size=\"94161920\", alpha=\"0.11\", expect_size=\"37664768\"] \n  19 -> 27 [size =\"37664768\"]\n  19 -> 32 [size =\"37664768\"]\n  19 -> 35 [size =\"37664768\"]\n  19 -> 36 [size =\"37664768\"]\n  19 -> 38 [size =\"37664768\"]\n  20 [size=\"72081920\", alpha=\"0.04\", expect_size=\"28832768\"] \n  20 -> 27 [size =\"28832768\"]\n  20 -> 28 [size =\"28832768\"]\n  20 -> 29 [size =\"28832768\"]\n  20 -> 34 [size =\"28832768\"]\n  20 -> 37 [size =\"28832768\"]\n  21 [size=\"106954240\", alpha=\"0.08\", expect_size=\"42781696\"] \n  21 -> 27 [size =\"42781696\"]\n  21 -> 28 [size =\"42781696\"]\n  21 -> 29 [size =\"42781696\"]\n  21 -> 31 [size =\"42781696\"]\n  22 [size=\"124533760\", alpha=\"0.20\", expect_size=\"49813504\"] \n  22 -> 28 [size =\"49813504\"]\n  22 -> 31 [size =\"49813504\"]\n  22 -> 32 [size =\"49813504\"]\n  22 -> 37 [size =\"49813504\"]\n  23 [size=\"108216320\", alpha=\"0.12\", expect_size=\"43286528\"] \n  23 -> 27 [size =\"43286528\"]\n  23 -> 28 [size =\"43286528\"]\n  23 -> 29 [size =\"43286528\"]\n  23 -> 30 [size =\"43286528\"]\n  23 -> 32 [size =\"43286528\"]\n  23 -> 33 [size =\"43286528\"]\n  23 -> 37 [size =\"43286528\"]\n  24 [size=\"23610880\", alpha=\"0.17\", expect_size=\"9444352\"] \n  24 -> 29 [size =\"9444352\"]\n  24 -> 31 [size =\"9444352\"]\n  24 -> 35 [size =\"9444352\"]\n  24 -> 36 [size =\"9444352\"]\n  24 -> 37 [size =\"9444352\"]\n  24 -> 38 [size =\"9444352\"]\n  25 [size=\"99438080\", alpha=\"0.16\", expect_size=\"39775232\"] \n  25 -> 31 [size =\"39775232\"]\n  25 -> 34 [size =\"39775232\"]\n  25 -> 36 [size =\"39775232\"]\n  25 -> 37 [size =\"39775232\"]\n  25 -> 38 [size =\"39775232\"]\n  26 [size=\"61931520\", alpha=\"0.05\", expect_size=\"24772608\"] \n  26 -> 27 [size =\"24772608\"]\n  26 -> 29 [size =\"24772608\"]\n  26 -> 30 [size =\"24772608\"]\n  26 -> 31 [size =\"24772608\"]\n  26 -> 32 [size =\"24772608\"]\n  26 -> 34 [size =\"24772608\"]\n  27 [size=\"19622400\", alpha=\"0.14\", expect_size=\"7848960\"] \n  27 -> 39 [size =\"7848960\"]\n  28 [size=\"126359040\", alpha=\"0.06\", expect_size=\"50543616\"] \n  28 -> 39 [size =\"50543616\"]\n  28 -> 40 [size =\"50543616\"]\n  29 [size=\"85800960\", alpha=\"0.12\", expect_size=\"34320384\"] \n  29 -> 39 [size =\"34320384\"]\n  30 [size=\"33308160\", alpha=\"0.05\", expect_size=\"13323264\"] \n  30 -> 39 [size =\"13323264\"]\n  31 [size=\"59322880\", alpha=\"0.02\", expect_size=\"23729152\"] \n  31 -> 39 [size =\"23729152\"]\n  32 [size=\"103979520\", alpha=\"0.13\", expect_size=\"41591808\"] \n  32 -> 39 [size =\"41591808\"]\n  33 [size=\"103610880\", alpha=\"0.06\", expect_size=\"41444352\"] \n  33 -> 39 [size =\"41444352\"]\n  34 [size=\"54108160\", alpha=\"0.02\", expect_size=\"21643264\"] \n  35 [size=\"33576960\", alpha=\"0.07\", expect_size=\"13430784\"] \n  36 [size=\"129684480\", alpha=\"0.07\", expect_size=\"51873792\"] \n  37 [size=\"39964160\", alpha=\"0.01\", expect_size=\"15985664\"] \n  38 [size=\"120471040\", alpha=\"0.11\", expect_size=\"48188416\"] \n  38 -> 40 [size =\"48188416\"]\n  39 [size=\"38604800\", alpha=\"0.16\", expect_size=\"15441920\"] \n  40 [size=\"111549440\", alpha=\"0.11\", expect_size=\"44619776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150562133\", alpha=\"0.14\", expect_size=\"45168640\"] \n  1 -> 4 [size =\"45168640\"]\n  2 [size=\"123156480\", alpha=\"0.17\", expect_size=\"36946944\"] \n  2 -> 3 [size =\"36946944\"]\n  3 [size=\"44455253\", alpha=\"0.09\", expect_size=\"13336576\"] \n  3 -> 6 [size =\"13336576\"]\n  4 [size=\"86155947\", alpha=\"0.08\", expect_size=\"25846784\"] \n  4 -> 5 [size =\"25846784\"]\n  5 [size=\"43134293\", alpha=\"0.16\", expect_size=\"12940288\"] \n  6 [size=\"114763093\", alpha=\"0.19\", expect_size=\"34428928\"] \n  6 -> 7 [size =\"34428928\"]\n  6 -> 8 [size =\"34428928\"]\n  7 [size=\"126535680\", alpha=\"0.07\", expect_size=\"37960704\"] \n  7 -> 10 [size =\"37960704\"]\n  8 [size=\"44485973\", alpha=\"0.11\", expect_size=\"13345792\"] \n  8 -> 9 [size =\"13345792\"]\n  9 [size=\"131898027\", alpha=\"0.05\", expect_size=\"39569408\"] \n  9 -> 11 [size =\"39569408\"]\n  10 [size=\"81486507\", alpha=\"0.06\", expect_size=\"24445952\"] \n  10 -> 12 [size =\"24445952\"]\n  10 -> 13 [size =\"24445952\"]\n  11 [size=\"74646187\", alpha=\"0.11\", expect_size=\"22393856\"] \n  12 [size=\"24780800\", alpha=\"0.04\", expect_size=\"7434240\"] \n  13 [size=\"159604053\", alpha=\"0.07\", expect_size=\"47881216\"] \n  13 -> 14 [size =\"47881216\"]\n  13 -> 15 [size =\"47881216\"]\n  14 [size=\"76199253\", alpha=\"0.18\", expect_size=\"22859776\"] \n  14 -> 17 [size =\"22859776\"]\n  15 [size=\"141250560\", alpha=\"0.09\", expect_size=\"42375168\"] \n  15 -> 16 [size =\"42375168\"]\n  16 [size=\"109854720\", alpha=\"0.06\", expect_size=\"32956416\"] \n  16 -> 20 [size =\"32956416\"]\n  17 [size=\"100358827\", alpha=\"0.17\", expect_size=\"30107648\"] \n  17 -> 18 [size =\"30107648\"]\n  17 -> 19 [size =\"30107648\"]\n  18 [size=\"153835520\", alpha=\"0.07\", expect_size=\"46150656\"] \n  19 [size=\"83705173\", alpha=\"0.00\", expect_size=\"25111552\"] \n  19 -> 22 [size =\"25111552\"]\n  20 [size=\"119268693\", alpha=\"0.09\", expect_size=\"35780608\"] \n  20 -> 21 [size =\"35780608\"]\n  21 [size=\"166939307\", alpha=\"0.15\", expect_size=\"50081792\"] \n  21 -> 23 [size =\"50081792\"]\n  21 -> 25 [size =\"50081792\"]\n  22 [size=\"93409280\", alpha=\"0.14\", expect_size=\"28022784\"] \n  22 -> 24 [size =\"28022784\"]\n  23 [size=\"124767573\", alpha=\"0.17\", expect_size=\"37430272\"] \n  24 [size=\"18814293\", alpha=\"0.09\", expect_size=\"5644288\"] \n  24 -> 27 [size =\"5644288\"]\n  25 [size=\"157641387\", alpha=\"0.03\", expect_size=\"47292416\"] \n  25 -> 26 [size =\"47292416\"]\n  26 [size=\"73489067\", alpha=\"0.10\", expect_size=\"22046720\"] \n  26 -> 28 [size =\"22046720\"]\n  26 -> 29 [size =\"22046720\"]\n  27 [size=\"117217280\", alpha=\"0.11\", expect_size=\"35165184\"] \n  27 -> 30 [size =\"35165184\"]\n  28 [size=\"93859840\", alpha=\"0.16\", expect_size=\"28157952\"] \n  28 -> 31 [size =\"28157952\"]\n  29 [size=\"149879467\", alpha=\"0.15\", expect_size=\"44963840\"] \n  29 -> 32 [size =\"44963840\"]\n  30 [size=\"150920533\", alpha=\"0.02\", expect_size=\"45276160\"] \n  30 -> 31 [size =\"45276160\"]\n  30 -> 33 [size =\"45276160\"]\n  31 [size=\"65211733\", alpha=\"0.16\", expect_size=\"19563520\"] \n  31 -> 34 [size =\"19563520\"]\n  32 [size=\"25832107\", alpha=\"0.12\", expect_size=\"7749632\"] \n  32 -> 35 [size =\"7749632\"]\n  32 -> 36 [size =\"7749632\"]\n  33 [size=\"138472107\", alpha=\"0.05\", expect_size=\"41541632\"] \n  33 -> 34 [size =\"41541632\"]\n  34 [size=\"115531093\", alpha=\"0.06\", expect_size=\"34659328\"] \n  35 [size=\"25695573\", alpha=\"0.03\", expect_size=\"7708672\"] \n  35 -> 37 [size =\"7708672\"]\n  36 [size=\"51906560\", alpha=\"0.11\", expect_size=\"15571968\"] \n  36 -> 38 [size =\"15571968\"]\n  37 [size=\"134171307\", alpha=\"0.10\", expect_size=\"40251392\"] \n  37 -> 40 [size =\"40251392\"]\n  38 [size=\"66973013\", alpha=\"0.06\", expect_size=\"20091904\"] \n  38 -> 39 [size =\"20091904\"]\n  39 [size=\"34611200\", alpha=\"0.11\", expect_size=\"10383360\"] \n  40 [size=\"151511040\", alpha=\"0.08\", expect_size=\"45453312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149988693\", alpha=\"0.02\", expect_size=\"44996608\"] \n  1 -> 6 [size =\"44996608\"]\n  1 -> 7 [size =\"44996608\"]\n  2 [size=\"28050773\", alpha=\"0.05\", expect_size=\"8415232\"] \n  3 [size=\"112431787\", alpha=\"0.09\", expect_size=\"33729536\"] \n  3 -> 5 [size =\"33729536\"]\n  4 [size=\"97034240\", alpha=\"0.03\", expect_size=\"29110272\"] \n  4 -> 7 [size =\"29110272\"]\n  5 [size=\"44448427\", alpha=\"0.08\", expect_size=\"13334528\"] \n  5 -> 8 [size =\"13334528\"]\n  6 [size=\"100485120\", alpha=\"0.04\", expect_size=\"30145536\"] \n  7 [size=\"36573867\", alpha=\"0.15\", expect_size=\"10972160\"] \n  8 [size=\"172096853\", alpha=\"0.09\", expect_size=\"51629056\"] \n  8 -> 9 [size =\"51629056\"]\n  8 -> 10 [size =\"51629056\"]\n  8 -> 11 [size =\"51629056\"]\n  9 [size=\"22923947\", alpha=\"0.01\", expect_size=\"6877184\"] \n  9 -> 15 [size =\"6877184\"]\n  10 [size=\"20657493\", alpha=\"0.18\", expect_size=\"6197248\"] \n  10 -> 12 [size =\"6197248\"]\n  10 -> 13 [size =\"6197248\"]\n  10 -> 14 [size =\"6197248\"]\n  11 [size=\"141370027\", alpha=\"0.11\", expect_size=\"42411008\"] \n  11 -> 12 [size =\"42411008\"]\n  11 -> 14 [size =\"42411008\"]\n  12 [size=\"158419627\", alpha=\"0.16\", expect_size=\"47525888\"] \n  12 -> 18 [size =\"47525888\"]\n  13 [size=\"42332160\", alpha=\"0.17\", expect_size=\"12699648\"] \n  13 -> 16 [size =\"12699648\"]\n  13 -> 18 [size =\"12699648\"]\n  14 [size=\"109417813\", alpha=\"0.09\", expect_size=\"32825344\"] \n  14 -> 16 [size =\"32825344\"]\n  15 [size=\"131734187\", alpha=\"0.04\", expect_size=\"39520256\"] \n  15 -> 17 [size =\"39520256\"]\n  16 [size=\"33696427\", alpha=\"0.14\", expect_size=\"10108928\"] \n  16 -> 19 [size =\"10108928\"]\n  16 -> 21 [size =\"10108928\"]\n  17 [size=\"68710400\", alpha=\"0.07\", expect_size=\"20613120\"] \n  17 -> 19 [size =\"20613120\"]\n  17 -> 20 [size =\"20613120\"]\n  18 [size=\"30870187\", alpha=\"0.15\", expect_size=\"9261056\"] \n  19 [size=\"104768853\", alpha=\"0.00\", expect_size=\"31430656\"] \n  19 -> 22 [size =\"31430656\"]\n  20 [size=\"111960747\", alpha=\"0.00\", expect_size=\"33588224\"] \n  21 [size=\"94904320\", alpha=\"0.17\", expect_size=\"28471296\"] \n  21 -> 22 [size =\"28471296\"]\n  22 [size=\"25627307\", alpha=\"0.15\", expect_size=\"7688192\"] \n  22 -> 23 [size =\"7688192\"]\n  22 -> 24 [size =\"7688192\"]\n  22 -> 25 [size =\"7688192\"]\n  23 [size=\"153521493\", alpha=\"0.05\", expect_size=\"46056448\"] \n  23 -> 27 [size =\"46056448\"]\n  24 [size=\"129249280\", alpha=\"0.05\", expect_size=\"38774784\"] \n  24 -> 26 [size =\"38774784\"]\n  25 [size=\"43089920\", alpha=\"0.08\", expect_size=\"12926976\"] \n  25 -> 26 [size =\"12926976\"]\n  25 -> 28 [size =\"12926976\"]\n  26 [size=\"70761813\", alpha=\"0.03\", expect_size=\"21228544\"] \n  26 -> 30 [size =\"21228544\"]\n  26 -> 32 [size =\"21228544\"]\n  27 [size=\"26183680\", alpha=\"0.19\", expect_size=\"7855104\"] \n  27 -> 29 [size =\"7855104\"]\n  27 -> 31 [size =\"7855104\"]\n  27 -> 32 [size =\"7855104\"]\n  28 [size=\"80366933\", alpha=\"0.15\", expect_size=\"24110080\"] \n  28 -> 31 [size =\"24110080\"]\n  29 [size=\"43646293\", alpha=\"0.12\", expect_size=\"13093888\"] \n  30 [size=\"45434880\", alpha=\"0.10\", expect_size=\"13630464\"] \n  30 -> 34 [size =\"13630464\"]\n  30 -> 35 [size =\"13630464\"]\n  31 [size=\"45479253\", alpha=\"0.03\", expect_size=\"13643776\"] \n  31 -> 34 [size =\"13643776\"]\n  32 [size=\"19002027\", alpha=\"0.14\", expect_size=\"5700608\"] \n  32 -> 33 [size =\"5700608\"]\n  32 -> 35 [size =\"5700608\"]\n  33 [size=\"133870933\", alpha=\"0.08\", expect_size=\"40161280\"] \n  33 -> 36 [size =\"40161280\"]\n  33 -> 37 [size =\"40161280\"]\n  33 -> 39 [size =\"40161280\"]\n  34 [size=\"170465280\", alpha=\"0.14\", expect_size=\"51139584\"] \n  34 -> 38 [size =\"51139584\"]\n  34 -> 39 [size =\"51139584\"]\n  35 [size=\"51060053\", alpha=\"0.14\", expect_size=\"15318016\"] \n  36 [size=\"117200213\", alpha=\"0.17\", expect_size=\"35160064\"] \n  36 -> 40 [size =\"35160064\"]\n  37 [size=\"137325227\", alpha=\"0.06\", expect_size=\"41197568\"] \n  38 [size=\"130532693\", alpha=\"0.16\", expect_size=\"39159808\"] \n  39 [size=\"94160213\", alpha=\"0.18\", expect_size=\"28248064\"] \n  40 [size=\"33655467\", alpha=\"0.12\", expect_size=\"10096640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123586560\", alpha=\"0.10\", expect_size=\"49434624\"] \n  2 [size=\"21506560\", alpha=\"0.07\", expect_size=\"8602624\"] \n  2 -> 8 [size =\"8602624\"]\n  3 [size=\"110976000\", alpha=\"0.19\", expect_size=\"44390400\"] \n  3 -> 6 [size =\"44390400\"]\n  3 -> 7 [size =\"44390400\"]\n  3 -> 8 [size =\"44390400\"]\n  3 -> 9 [size =\"44390400\"]\n  4 [size=\"83929600\", alpha=\"0.12\", expect_size=\"33571840\"] \n  4 -> 5 [size =\"33571840\"]\n  4 -> 6 [size =\"33571840\"]\n  4 -> 9 [size =\"33571840\"]\n  5 [size=\"43043840\", alpha=\"0.17\", expect_size=\"17217536\"] \n  5 -> 10 [size =\"17217536\"]\n  5 -> 13 [size =\"17217536\"]\n  6 [size=\"102077440\", alpha=\"0.02\", expect_size=\"40830976\"] \n  7 [size=\"83658240\", alpha=\"0.01\", expect_size=\"33463296\"] \n  7 -> 10 [size =\"33463296\"]\n  7 -> 15 [size =\"33463296\"]\n  8 [size=\"91371520\", alpha=\"0.03\", expect_size=\"36548608\"] \n  8 -> 10 [size =\"36548608\"]\n  8 -> 15 [size =\"36548608\"]\n  9 [size=\"23052800\", alpha=\"0.16\", expect_size=\"9221120\"] \n  9 -> 10 [size =\"9221120\"]\n  9 -> 11 [size =\"9221120\"]\n  9 -> 12 [size =\"9221120\"]\n  9 -> 14 [size =\"9221120\"]\n  10 [size=\"50283520\", alpha=\"0.05\", expect_size=\"20113408\"] \n  10 -> 17 [size =\"20113408\"]\n  10 -> 19 [size =\"20113408\"]\n  11 [size=\"126115840\", alpha=\"0.10\", expect_size=\"50446336\"] \n  11 -> 18 [size =\"50446336\"]\n  12 [size=\"67829760\", alpha=\"0.03\", expect_size=\"27131904\"] \n  12 -> 18 [size =\"27131904\"]\n  13 [size=\"111769600\", alpha=\"0.15\", expect_size=\"44707840\"] \n  13 -> 16 [size =\"44707840\"]\n  13 -> 19 [size =\"44707840\"]\n  13 -> 20 [size =\"44707840\"]\n  14 [size=\"108620800\", alpha=\"0.17\", expect_size=\"43448320\"] \n  14 -> 17 [size =\"43448320\"]\n  14 -> 18 [size =\"43448320\"]\n  14 -> 19 [size =\"43448320\"]\n  15 [size=\"59962880\", alpha=\"0.00\", expect_size=\"23985152\"] \n  15 -> 21 [size =\"23985152\"]\n  16 [size=\"40427520\", alpha=\"0.12\", expect_size=\"16171008\"] \n  16 -> 23 [size =\"16171008\"]\n  17 [size=\"52590080\", alpha=\"0.04\", expect_size=\"21036032\"] \n  17 -> 22 [size =\"21036032\"]\n  17 -> 24 [size =\"21036032\"]\n  17 -> 25 [size =\"21036032\"]\n  18 [size=\"60241920\", alpha=\"0.20\", expect_size=\"24096768\"] \n  18 -> 22 [size =\"24096768\"]\n  18 -> 23 [size =\"24096768\"]\n  18 -> 26 [size =\"24096768\"]\n  19 [size=\"75353600\", alpha=\"0.09\", expect_size=\"30141440\"] \n  19 -> 22 [size =\"30141440\"]\n  19 -> 23 [size =\"30141440\"]\n  20 [size=\"52462080\", alpha=\"0.04\", expect_size=\"20984832\"] \n  20 -> 22 [size =\"20984832\"]\n  20 -> 23 [size =\"20984832\"]\n  21 [size=\"80709120\", alpha=\"0.17\", expect_size=\"32283648\"] \n  21 -> 22 [size =\"32283648\"]\n  22 [size=\"20080640\", alpha=\"0.11\", expect_size=\"8032256\"] \n  23 [size=\"36162560\", alpha=\"0.02\", expect_size=\"14465024\"] \n  23 -> 27 [size =\"14465024\"]\n  23 -> 28 [size =\"14465024\"]\n  23 -> 29 [size =\"14465024\"]\n  24 [size=\"121804800\", alpha=\"0.05\", expect_size=\"48721920\"] \n  24 -> 28 [size =\"48721920\"]\n  25 [size=\"106378240\", alpha=\"0.13\", expect_size=\"42551296\"] \n  25 -> 27 [size =\"42551296\"]\n  25 -> 29 [size =\"42551296\"]\n  25 -> 30 [size =\"42551296\"]\n  26 [size=\"108072960\", alpha=\"0.16\", expect_size=\"43229184\"] \n  26 -> 30 [size =\"43229184\"]\n  26 -> 31 [size =\"43229184\"]\n  27 [size=\"59169280\", alpha=\"0.11\", expect_size=\"23667712\"] \n  27 -> 35 [size =\"23667712\"]\n  27 -> 36 [size =\"23667712\"]\n  28 [size=\"83573760\", alpha=\"0.20\", expect_size=\"33429504\"] \n  28 -> 32 [size =\"33429504\"]\n  28 -> 33 [size =\"33429504\"]\n  28 -> 34 [size =\"33429504\"]\n  28 -> 35 [size =\"33429504\"]\n  29 [size=\"82158080\", alpha=\"0.10\", expect_size=\"32863232\"] \n  29 -> 32 [size =\"32863232\"]\n  29 -> 33 [size =\"32863232\"]\n  29 -> 34 [size =\"32863232\"]\n  30 [size=\"18880000\", alpha=\"0.06\", expect_size=\"7552000\"] \n  30 -> 33 [size =\"7552000\"]\n  30 -> 34 [size =\"7552000\"]\n  31 [size=\"39805440\", alpha=\"0.02\", expect_size=\"15922176\"] \n  31 -> 35 [size =\"15922176\"]\n  32 [size=\"19484160\", alpha=\"0.07\", expect_size=\"7793664\"] \n  32 -> 37 [size =\"7793664\"]\n  32 -> 38 [size =\"7793664\"]\n  32 -> 40 [size =\"7793664\"]\n  33 [size=\"84282880\", alpha=\"0.08\", expect_size=\"33713152\"] \n  33 -> 39 [size =\"33713152\"]\n  34 [size=\"96138240\", alpha=\"0.06\", expect_size=\"38455296\"] \n  34 -> 38 [size =\"38455296\"]\n  34 -> 39 [size =\"38455296\"]\n  35 [size=\"125877760\", alpha=\"0.12\", expect_size=\"50351104\"] \n  36 [size=\"85473280\", alpha=\"0.02\", expect_size=\"34189312\"] \n  37 [size=\"63897600\", alpha=\"0.19\", expect_size=\"25559040\"] \n  38 [size=\"13736960\", alpha=\"0.04\", expect_size=\"5494784\"] \n  39 [size=\"13253120\", alpha=\"0.20\", expect_size=\"5301248\"] \n  40 [size=\"72399360\", alpha=\"0.02\", expect_size=\"28959744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161536000\", alpha=\"0.08\", expect_size=\"48460800\"] \n  1 -> 8 [size =\"48460800\"]\n  1 -> 9 [size =\"48460800\"]\n  2 [size=\"88671573\", alpha=\"0.16\", expect_size=\"26601472\"] \n  2 -> 8 [size =\"26601472\"]\n  2 -> 11 [size =\"26601472\"]\n  3 [size=\"18800640\", alpha=\"0.13\", expect_size=\"5640192\"] \n  3 -> 9 [size =\"5640192\"]\n  4 [size=\"100652373\", alpha=\"0.18\", expect_size=\"30195712\"] \n  4 -> 8 [size =\"30195712\"]\n  4 -> 9 [size =\"30195712\"]\n  4 -> 11 [size =\"30195712\"]\n  5 [size=\"57159680\", alpha=\"0.10\", expect_size=\"17147904\"] \n  5 -> 11 [size =\"17147904\"]\n  6 [size=\"100573867\", alpha=\"0.10\", expect_size=\"30172160\"] \n  6 -> 10 [size =\"30172160\"]\n  6 -> 11 [size =\"30172160\"]\n  7 [size=\"18995200\", alpha=\"0.16\", expect_size=\"5698560\"] \n  7 -> 9 [size =\"5698560\"]\n  7 -> 11 [size =\"5698560\"]\n  8 [size=\"97573547\", alpha=\"0.01\", expect_size=\"29272064\"] \n  8 -> 12 [size =\"29272064\"]\n  8 -> 14 [size =\"29272064\"]\n  9 [size=\"144496640\", alpha=\"0.03\", expect_size=\"43348992\"] \n  9 -> 12 [size =\"43348992\"]\n  10 [size=\"172506453\", alpha=\"0.07\", expect_size=\"51751936\"] \n  10 -> 13 [size =\"51751936\"]\n  10 -> 14 [size =\"51751936\"]\n  10 -> 15 [size =\"51751936\"]\n  11 [size=\"101007360\", alpha=\"0.18\", expect_size=\"30302208\"] \n  11 -> 12 [size =\"30302208\"]\n  11 -> 13 [size =\"30302208\"]\n  11 -> 14 [size =\"30302208\"]\n  12 [size=\"162740907\", alpha=\"0.07\", expect_size=\"48822272\"] \n  12 -> 17 [size =\"48822272\"]\n  12 -> 19 [size =\"48822272\"]\n  13 [size=\"132843520\", alpha=\"0.04\", expect_size=\"39853056\"] \n  14 [size=\"73943040\", alpha=\"0.02\", expect_size=\"22182912\"] \n  15 [size=\"57364480\", alpha=\"0.17\", expect_size=\"17209344\"] \n  15 -> 16 [size =\"17209344\"]\n  15 -> 17 [size =\"17209344\"]\n  15 -> 18 [size =\"17209344\"]\n  15 -> 19 [size =\"17209344\"]\n  16 [size=\"134754987\", alpha=\"0.08\", expect_size=\"40426496\"] \n  16 -> 20 [size =\"40426496\"]\n  16 -> 21 [size =\"40426496\"]\n  17 [size=\"58101760\", alpha=\"0.03\", expect_size=\"17430528\"] \n  17 -> 22 [size =\"17430528\"]\n  18 [size=\"24388267\", alpha=\"0.14\", expect_size=\"7316480\"] \n  18 -> 20 [size =\"7316480\"]\n  19 [size=\"29443413\", alpha=\"0.11\", expect_size=\"8833024\"] \n  19 -> 20 [size =\"8833024\"]\n  19 -> 21 [size =\"8833024\"]\n  20 [size=\"49978027\", alpha=\"0.01\", expect_size=\"14993408\"] \n  20 -> 26 [size =\"14993408\"]\n  21 [size=\"107079680\", alpha=\"0.09\", expect_size=\"32123904\"] \n  21 -> 25 [size =\"32123904\"]\n  22 [size=\"89398613\", alpha=\"0.07\", expect_size=\"26819584\"] \n  22 -> 23 [size =\"26819584\"]\n  22 -> 24 [size =\"26819584\"]\n  22 -> 25 [size =\"26819584\"]\n  23 [size=\"146565120\", alpha=\"0.05\", expect_size=\"43969536\"] \n  23 -> 30 [size =\"43969536\"]\n  23 -> 32 [size =\"43969536\"]\n  24 [size=\"20736000\", alpha=\"0.13\", expect_size=\"6220800\"] \n  24 -> 27 [size =\"6220800\"]\n  24 -> 28 [size =\"6220800\"]\n  24 -> 29 [size =\"6220800\"]\n  24 -> 31 [size =\"6220800\"]\n  25 [size=\"38273707\", alpha=\"0.06\", expect_size=\"11482112\"] \n  25 -> 28 [size =\"11482112\"]\n  25 -> 32 [size =\"11482112\"]\n  26 [size=\"172288000\", alpha=\"0.10\", expect_size=\"51686400\"] \n  26 -> 28 [size =\"51686400\"]\n  26 -> 30 [size =\"51686400\"]\n  26 -> 32 [size =\"51686400\"]\n  27 [size=\"80220160\", alpha=\"0.14\", expect_size=\"24066048\"] \n  27 -> 34 [size =\"24066048\"]\n  28 [size=\"106280960\", alpha=\"0.08\", expect_size=\"31884288\"] \n  28 -> 34 [size =\"31884288\"]\n  29 [size=\"58624000\", alpha=\"0.19\", expect_size=\"17587200\"] \n  29 -> 34 [size =\"17587200\"]\n  29 -> 35 [size =\"17587200\"]\n  29 -> 36 [size =\"17587200\"]\n  30 [size=\"144588800\", alpha=\"0.09\", expect_size=\"43376640\"] \n  31 [size=\"152733013\", alpha=\"0.09\", expect_size=\"45819904\"] \n  31 -> 35 [size =\"45819904\"]\n  32 [size=\"69826560\", alpha=\"0.08\", expect_size=\"20947968\"] \n  32 -> 33 [size =\"20947968\"]\n  32 -> 35 [size =\"20947968\"]\n  33 [size=\"124357973\", alpha=\"0.02\", expect_size=\"37307392\"] \n  33 -> 37 [size =\"37307392\"]\n  33 -> 38 [size =\"37307392\"]\n  33 -> 39 [size =\"37307392\"]\n  34 [size=\"160368640\", alpha=\"0.03\", expect_size=\"48110592\"] \n  34 -> 37 [size =\"48110592\"]\n  34 -> 40 [size =\"48110592\"]\n  35 [size=\"103744853\", alpha=\"0.09\", expect_size=\"31123456\"] \n  35 -> 39 [size =\"31123456\"]\n  36 [size=\"151456427\", alpha=\"0.10\", expect_size=\"45436928\"] \n  36 -> 37 [size =\"45436928\"]\n  36 -> 38 [size =\"45436928\"]\n  36 -> 39 [size =\"45436928\"]\n  37 [size=\"72034987\", alpha=\"0.17\", expect_size=\"21610496\"] \n  38 [size=\"24282453\", alpha=\"0.04\", expect_size=\"7284736\"] \n  39 [size=\"88299520\", alpha=\"0.12\", expect_size=\"26489856\"] \n  40 [size=\"76533760\", alpha=\"0.05\", expect_size=\"22960128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25192448\", alpha=\"0.11\", expect_size=\"12596224\"] \n  1 -> 6 [size =\"12596224\"]\n  1 -> 8 [size =\"12596224\"]\n  2 [size=\"78012416\", alpha=\"0.12\", expect_size=\"39006208\"] \n  2 -> 9 [size =\"39006208\"]\n  3 [size=\"38049792\", alpha=\"0.14\", expect_size=\"19024896\"] \n  3 -> 6 [size =\"19024896\"]\n  3 -> 9 [size =\"19024896\"]\n  3 -> 10 [size =\"19024896\"]\n  4 [size=\"72077312\", alpha=\"0.05\", expect_size=\"36038656\"] \n  4 -> 7 [size =\"36038656\"]\n  4 -> 9 [size =\"36038656\"]\n  5 [size=\"14024704\", alpha=\"0.03\", expect_size=\"7012352\"] \n  5 -> 8 [size =\"7012352\"]\n  6 [size=\"79558656\", alpha=\"0.00\", expect_size=\"39779328\"] \n  6 -> 14 [size =\"39779328\"]\n  7 [size=\"50987008\", alpha=\"0.19\", expect_size=\"25493504\"] \n  7 -> 11 [size =\"25493504\"]\n  7 -> 12 [size =\"25493504\"]\n  7 -> 13 [size =\"25493504\"]\n  8 [size=\"49135616\", alpha=\"0.09\", expect_size=\"24567808\"] \n  8 -> 11 [size =\"24567808\"]\n  8 -> 12 [size =\"24567808\"]\n  8 -> 13 [size =\"24567808\"]\n  8 -> 15 [size =\"24567808\"]\n  9 [size=\"55904256\", alpha=\"0.08\", expect_size=\"27952128\"] \n  9 -> 11 [size =\"27952128\"]\n  9 -> 12 [size =\"27952128\"]\n  9 -> 13 [size =\"27952128\"]\n  9 -> 15 [size =\"27952128\"]\n  10 [size=\"52639744\", alpha=\"0.05\", expect_size=\"26319872\"] \n  10 -> 15 [size =\"26319872\"]\n  11 [size=\"82962432\", alpha=\"0.17\", expect_size=\"41481216\"] \n  11 -> 16 [size =\"41481216\"]\n  11 -> 20 [size =\"41481216\"]\n  12 [size=\"39745536\", alpha=\"0.12\", expect_size=\"19872768\"] \n  12 -> 19 [size =\"19872768\"]\n  13 [size=\"94279680\", alpha=\"0.01\", expect_size=\"47139840\"] \n  13 -> 16 [size =\"47139840\"]\n  13 -> 21 [size =\"47139840\"]\n  14 [size=\"65781760\", alpha=\"0.09\", expect_size=\"32890880\"] \n  14 -> 20 [size =\"32890880\"]\n  15 [size=\"87797760\", alpha=\"0.16\", expect_size=\"43898880\"] \n  15 -> 17 [size =\"43898880\"]\n  15 -> 18 [size =\"43898880\"]\n  16 [size=\"101406720\", alpha=\"0.06\", expect_size=\"50703360\"] \n  16 -> 25 [size =\"50703360\"]\n  16 -> 27 [size =\"50703360\"]\n  17 [size=\"103206912\", alpha=\"0.14\", expect_size=\"51603456\"] \n  17 -> 22 [size =\"51603456\"]\n  17 -> 23 [size =\"51603456\"]\n  18 [size=\"96968704\", alpha=\"0.19\", expect_size=\"48484352\"] \n  18 -> 24 [size =\"48484352\"]\n  18 -> 26 [size =\"48484352\"]\n  19 [size=\"43251712\", alpha=\"0.12\", expect_size=\"21625856\"] \n  19 -> 24 [size =\"21625856\"]\n  19 -> 25 [size =\"21625856\"]\n  19 -> 27 [size =\"21625856\"]\n  20 [size=\"79978496\", alpha=\"0.07\", expect_size=\"39989248\"] \n  20 -> 23 [size =\"39989248\"]\n  20 -> 25 [size =\"39989248\"]\n  20 -> 27 [size =\"39989248\"]\n  21 [size=\"10786816\", alpha=\"0.05\", expect_size=\"5393408\"] \n  21 -> 23 [size =\"5393408\"]\n  21 -> 25 [size =\"5393408\"]\n  21 -> 26 [size =\"5393408\"]\n  21 -> 27 [size =\"5393408\"]\n  22 [size=\"91199488\", alpha=\"0.18\", expect_size=\"45599744\"] \n  22 -> 32 [size =\"45599744\"]\n  23 [size=\"54149120\", alpha=\"0.17\", expect_size=\"27074560\"] \n  23 -> 28 [size =\"27074560\"]\n  23 -> 31 [size =\"27074560\"]\n  24 [size=\"57475072\", alpha=\"0.08\", expect_size=\"28737536\"] \n  24 -> 29 [size =\"28737536\"]\n  24 -> 31 [size =\"28737536\"]\n  25 [size=\"100012032\", alpha=\"0.01\", expect_size=\"50006016\"] \n  25 -> 30 [size =\"50006016\"]\n  26 [size=\"82255872\", alpha=\"0.08\", expect_size=\"41127936\"] \n  26 -> 29 [size =\"41127936\"]\n  26 -> 32 [size =\"41127936\"]\n  27 [size=\"16175104\", alpha=\"0.03\", expect_size=\"8087552\"] \n  27 -> 32 [size =\"8087552\"]\n  28 [size=\"82317312\", alpha=\"0.07\", expect_size=\"41158656\"] \n  28 -> 37 [size =\"41158656\"]\n  29 [size=\"76890112\", alpha=\"0.00\", expect_size=\"38445056\"] \n  29 -> 36 [size =\"38445056\"]\n  29 -> 37 [size =\"38445056\"]\n  29 -> 38 [size =\"38445056\"]\n  30 [size=\"37967872\", alpha=\"0.03\", expect_size=\"18983936\"] \n  30 -> 33 [size =\"18983936\"]\n  30 -> 36 [size =\"18983936\"]\n  31 [size=\"71180288\", alpha=\"0.00\", expect_size=\"35590144\"] \n  31 -> 34 [size =\"35590144\"]\n  32 [size=\"96866304\", alpha=\"0.04\", expect_size=\"48433152\"] \n  32 -> 34 [size =\"48433152\"]\n  32 -> 35 [size =\"48433152\"]\n  33 [size=\"88182784\", alpha=\"0.06\", expect_size=\"44091392\"] \n  34 [size=\"72691712\", alpha=\"0.19\", expect_size=\"36345856\"] \n  35 [size=\"17614848\", alpha=\"0.09\", expect_size=\"8807424\"] \n  35 -> 39 [size =\"8807424\"]\n  35 -> 40 [size =\"8807424\"]\n  36 [size=\"20865024\", alpha=\"0.18\", expect_size=\"10432512\"] \n  36 -> 39 [size =\"10432512\"]\n  36 -> 40 [size =\"10432512\"]\n  37 [size=\"57143296\", alpha=\"0.07\", expect_size=\"28571648\"] \n  37 -> 39 [size =\"28571648\"]\n  38 [size=\"72581120\", alpha=\"0.14\", expect_size=\"36290560\"] \n  39 [size=\"11458560\", alpha=\"0.08\", expect_size=\"5729280\"] \n  40 [size=\"13565952\", alpha=\"0.16\", expect_size=\"6782976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137325227\", alpha=\"0.07\", expect_size=\"41197568\"] \n  1 -> 2 [size =\"41197568\"]\n  2 [size=\"145786880\", alpha=\"0.02\", expect_size=\"43736064\"] \n  2 -> 3 [size =\"43736064\"]\n  3 [size=\"120989013\", alpha=\"0.16\", expect_size=\"36296704\"] \n  3 -> 4 [size =\"36296704\"]\n  4 [size=\"88995840\", alpha=\"0.09\", expect_size=\"26698752\"] \n  4 -> 5 [size =\"26698752\"]\n  5 [size=\"161897813\", alpha=\"0.19\", expect_size=\"48569344\"] \n  5 -> 6 [size =\"48569344\"]\n  6 [size=\"73850880\", alpha=\"0.15\", expect_size=\"22155264\"] \n  6 -> 7 [size =\"22155264\"]\n  7 [size=\"39905280\", alpha=\"0.06\", expect_size=\"11971584\"] \n  7 -> 8 [size =\"11971584\"]\n  8 [size=\"112981333\", alpha=\"0.05\", expect_size=\"33894400\"] \n  8 -> 9 [size =\"33894400\"]\n  9 [size=\"29907627\", alpha=\"0.10\", expect_size=\"8972288\"] \n  9 -> 10 [size =\"8972288\"]\n  10 [size=\"113448960\", alpha=\"0.03\", expect_size=\"34034688\"] \n  10 -> 11 [size =\"34034688\"]\n  11 [size=\"81353387\", alpha=\"0.17\", expect_size=\"24406016\"] \n  11 -> 12 [size =\"24406016\"]\n  12 [size=\"133703680\", alpha=\"0.05\", expect_size=\"40111104\"] \n  12 -> 13 [size =\"40111104\"]\n  13 [size=\"150251520\", alpha=\"0.14\", expect_size=\"45075456\"] \n  13 -> 14 [size =\"45075456\"]\n  14 [size=\"116090880\", alpha=\"0.04\", expect_size=\"34827264\"] \n  14 -> 15 [size =\"34827264\"]\n  15 [size=\"31262720\", alpha=\"0.05\", expect_size=\"9378816\"] \n  15 -> 16 [size =\"9378816\"]\n  16 [size=\"20165973\", alpha=\"0.16\", expect_size=\"6049792\"] \n  16 -> 17 [size =\"6049792\"]\n  17 [size=\"141509973\", alpha=\"0.18\", expect_size=\"42452992\"] \n  17 -> 18 [size =\"42452992\"]\n  18 [size=\"31474347\", alpha=\"0.07\", expect_size=\"9442304\"] \n  18 -> 19 [size =\"9442304\"]\n  19 [size=\"66897920\", alpha=\"0.14\", expect_size=\"20069376\"] \n  19 -> 20 [size =\"20069376\"]\n  20 [size=\"142544213\", alpha=\"0.01\", expect_size=\"42763264\"] \n  20 -> 21 [size =\"42763264\"]\n  21 [size=\"165348693\", alpha=\"0.04\", expect_size=\"49604608\"] \n  21 -> 22 [size =\"49604608\"]\n  22 [size=\"144295253\", alpha=\"0.03\", expect_size=\"43288576\"] \n  22 -> 23 [size =\"43288576\"]\n  23 [size=\"28555947\", alpha=\"0.15\", expect_size=\"8566784\"] \n  23 -> 24 [size =\"8566784\"]\n  24 [size=\"141434880\", alpha=\"0.16\", expect_size=\"42430464\"] \n  24 -> 25 [size =\"42430464\"]\n  25 [size=\"18974720\", alpha=\"0.15\", expect_size=\"5692416\"] \n  25 -> 26 [size =\"5692416\"]\n  26 [size=\"60928000\", alpha=\"0.02\", expect_size=\"18278400\"] \n  26 -> 27 [size =\"18278400\"]\n  27 [size=\"26309973\", alpha=\"0.11\", expect_size=\"7892992\"] \n  27 -> 28 [size =\"7892992\"]\n  28 [size=\"167915520\", alpha=\"0.13\", expect_size=\"50374656\"] \n  28 -> 29 [size =\"50374656\"]\n  29 [size=\"63976107\", alpha=\"0.16\", expect_size=\"19192832\"] \n  29 -> 30 [size =\"19192832\"]\n  30 [size=\"172895573\", alpha=\"0.11\", expect_size=\"51868672\"] \n  30 -> 31 [size =\"51868672\"]\n  31 [size=\"24535040\", alpha=\"0.15\", expect_size=\"7360512\"] \n  31 -> 32 [size =\"7360512\"]\n  32 [size=\"53319680\", alpha=\"0.13\", expect_size=\"15995904\"] \n  32 -> 33 [size =\"15995904\"]\n  33 [size=\"72987307\", alpha=\"0.08\", expect_size=\"21896192\"] \n  33 -> 34 [size =\"21896192\"]\n  34 [size=\"29771093\", alpha=\"0.16\", expect_size=\"8931328\"] \n  34 -> 35 [size =\"8931328\"]\n  35 [size=\"152473600\", alpha=\"0.06\", expect_size=\"45742080\"] \n  35 -> 36 [size =\"45742080\"]\n  36 [size=\"113660587\", alpha=\"0.16\", expect_size=\"34098176\"] \n  36 -> 37 [size =\"34098176\"]\n  37 [size=\"126993067\", alpha=\"0.01\", expect_size=\"38097920\"] \n  37 -> 38 [size =\"38097920\"]\n  38 [size=\"57613653\", alpha=\"0.09\", expect_size=\"17284096\"] \n  38 -> 39 [size =\"17284096\"]\n  39 [size=\"158320640\", alpha=\"0.02\", expect_size=\"47496192\"] \n  39 -> 40 [size =\"47496192\"]\n  40 [size=\"126976000\", alpha=\"0.12\", expect_size=\"38092800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95221760\", alpha=\"0.16\", expect_size=\"38088704\"] \n  1 -> 20 [size =\"38088704\"]\n  1 -> 24 [size =\"38088704\"]\n  2 [size=\"130452480\", alpha=\"0.18\", expect_size=\"52180992\"] \n  2 -> 13 [size =\"52180992\"]\n  2 -> 20 [size =\"52180992\"]\n  2 -> 22 [size =\"52180992\"]\n  2 -> 23 [size =\"52180992\"]\n  2 -> 25 [size =\"52180992\"]\n  2 -> 26 [size =\"52180992\"]\n  3 [size=\"80560640\", alpha=\"0.07\", expect_size=\"32224256\"] \n  3 -> 13 [size =\"32224256\"]\n  3 -> 17 [size =\"32224256\"]\n  3 -> 23 [size =\"32224256\"]\n  4 [size=\"104540160\", alpha=\"0.15\", expect_size=\"41816064\"] \n  4 -> 13 [size =\"41816064\"]\n  4 -> 14 [size =\"41816064\"]\n  4 -> 16 [size =\"41816064\"]\n  4 -> 17 [size =\"41816064\"]\n  4 -> 20 [size =\"41816064\"]\n  4 -> 23 [size =\"41816064\"]\n  4 -> 24 [size =\"41816064\"]\n  4 -> 25 [size =\"41816064\"]\n  4 -> 26 [size =\"41816064\"]\n  5 [size=\"61770240\", alpha=\"0.14\", expect_size=\"24708096\"] \n  5 -> 16 [size =\"24708096\"]\n  5 -> 17 [size =\"24708096\"]\n  5 -> 18 [size =\"24708096\"]\n  5 -> 20 [size =\"24708096\"]\n  5 -> 22 [size =\"24708096\"]\n  5 -> 24 [size =\"24708096\"]\n  6 [size=\"56314880\", alpha=\"0.01\", expect_size=\"22525952\"] \n  6 -> 13 [size =\"22525952\"]\n  6 -> 14 [size =\"22525952\"]\n  6 -> 17 [size =\"22525952\"]\n  6 -> 18 [size =\"22525952\"]\n  6 -> 20 [size =\"22525952\"]\n  6 -> 22 [size =\"22525952\"]\n  7 [size=\"123781120\", alpha=\"0.08\", expect_size=\"49512448\"] \n  7 -> 15 [size =\"49512448\"]\n  7 -> 17 [size =\"49512448\"]\n  7 -> 17 [size =\"49512448\"]\n  7 -> 18 [size =\"49512448\"]\n  7 -> 21 [size =\"49512448\"]\n  7 -> 23 [size =\"49512448\"]\n  8 [size=\"121118720\", alpha=\"0.03\", expect_size=\"48447488\"] \n  8 -> 19 [size =\"48447488\"]\n  8 -> 23 [size =\"48447488\"]\n  8 -> 25 [size =\"48447488\"]\n  9 [size=\"105036800\", alpha=\"0.04\", expect_size=\"42014720\"] \n  9 -> 16 [size =\"42014720\"]\n  9 -> 17 [size =\"42014720\"]\n  9 -> 18 [size =\"42014720\"]\n  9 -> 19 [size =\"42014720\"]\n  9 -> 20 [size =\"42014720\"]\n  9 -> 26 [size =\"42014720\"]\n  10 [size=\"37271040\", alpha=\"0.16\", expect_size=\"14908416\"] \n  10 -> 14 [size =\"14908416\"]\n  10 -> 16 [size =\"14908416\"]\n  10 -> 17 [size =\"14908416\"]\n  10 -> 19 [size =\"14908416\"]\n  10 -> 22 [size =\"14908416\"]\n  10 -> 23 [size =\"14908416\"]\n  10 -> 24 [size =\"14908416\"]\n  11 [size=\"123755520\", alpha=\"0.06\", expect_size=\"49502208\"] \n  11 -> 16 [size =\"49502208\"]\n  11 -> 18 [size =\"49502208\"]\n  11 -> 19 [size =\"49502208\"]\n  11 -> 22 [size =\"49502208\"]\n  11 -> 23 [size =\"49502208\"]\n  12 [size=\"101944320\", alpha=\"0.13\", expect_size=\"40777728\"] \n  12 -> 13 [size =\"40777728\"]\n  12 -> 14 [size =\"40777728\"]\n  12 -> 18 [size =\"40777728\"]\n  13 [size=\"92065280\", alpha=\"0.10\", expect_size=\"36826112\"] \n  13 -> 29 [size =\"36826112\"]\n  13 -> 29 [size =\"36826112\"]\n  13 -> 30 [size =\"36826112\"]\n  13 -> 32 [size =\"36826112\"]\n  13 -> 33 [size =\"36826112\"]\n  13 -> 36 [size =\"36826112\"]\n  13 -> 37 [size =\"36826112\"]\n  13 -> 38 [size =\"36826112\"]\n  14 [size=\"15585280\", alpha=\"0.06\", expect_size=\"6234112\"] \n  14 -> 30 [size =\"6234112\"]\n  14 -> 32 [size =\"6234112\"]\n  14 -> 35 [size =\"6234112\"]\n  14 -> 37 [size =\"6234112\"]\n  14 -> 38 [size =\"6234112\"]\n  14 -> 39 [size =\"6234112\"]\n  15 [size=\"104775680\", alpha=\"0.20\", expect_size=\"41910272\"] \n  15 -> 27 [size =\"41910272\"]\n  15 -> 30 [size =\"41910272\"]\n  15 -> 32 [size =\"41910272\"]\n  15 -> 34 [size =\"41910272\"]\n  15 -> 38 [size =\"41910272\"]\n  15 -> 39 [size =\"41910272\"]\n  16 [size=\"66631680\", alpha=\"0.16\", expect_size=\"26652672\"] \n  16 -> 27 [size =\"26652672\"]\n  16 -> 28 [size =\"26652672\"]\n  16 -> 29 [size =\"26652672\"]\n  16 -> 30 [size =\"26652672\"]\n  16 -> 32 [size =\"26652672\"]\n  16 -> 36 [size =\"26652672\"]\n  16 -> 39 [size =\"26652672\"]\n  17 [size=\"74252800\", alpha=\"0.20\", expect_size=\"29701120\"] \n  17 -> 27 [size =\"29701120\"]\n  17 -> 33 [size =\"29701120\"]\n  17 -> 36 [size =\"29701120\"]\n  17 -> 39 [size =\"29701120\"]\n  18 [size=\"120360960\", alpha=\"0.15\", expect_size=\"48144384\"] \n  18 -> 29 [size =\"48144384\"]\n  18 -> 33 [size =\"48144384\"]\n  18 -> 34 [size =\"48144384\"]\n  18 -> 39 [size =\"48144384\"]\n  19 [size=\"21888000\", alpha=\"0.08\", expect_size=\"8755200\"] \n  19 -> 27 [size =\"8755200\"]\n  19 -> 28 [size =\"8755200\"]\n  19 -> 30 [size =\"8755200\"]\n  19 -> 31 [size =\"8755200\"]\n  19 -> 32 [size =\"8755200\"]\n  19 -> 36 [size =\"8755200\"]\n  19 -> 39 [size =\"8755200\"]\n  20 [size=\"43709440\", alpha=\"0.15\", expect_size=\"17483776\"] \n  20 -> 29 [size =\"17483776\"]\n  20 -> 30 [size =\"17483776\"]\n  20 -> 36 [size =\"17483776\"]\n  20 -> 38 [size =\"17483776\"]\n  20 -> 39 [size =\"17483776\"]\n  21 [size=\"19578880\", alpha=\"0.16\", expect_size=\"7831552\"] \n  21 -> 27 [size =\"7831552\"]\n  21 -> 30 [size =\"7831552\"]\n  21 -> 39 [size =\"7831552\"]\n  22 [size=\"54251520\", alpha=\"0.18\", expect_size=\"21700608\"] \n  22 -> 28 [size =\"21700608\"]\n  22 -> 29 [size =\"21700608\"]\n  22 -> 32 [size =\"21700608\"]\n  22 -> 34 [size =\"21700608\"]\n  22 -> 36 [size =\"21700608\"]\n  22 -> 37 [size =\"21700608\"]\n  23 [size=\"14937600\", alpha=\"0.10\", expect_size=\"5975040\"] \n  23 -> 29 [size =\"5975040\"]\n  23 -> 30 [size =\"5975040\"]\n  23 -> 34 [size =\"5975040\"]\n  23 -> 35 [size =\"5975040\"]\n  23 -> 36 [size =\"5975040\"]\n  23 -> 38 [size =\"5975040\"]\n  24 [size=\"76743680\", alpha=\"0.18\", expect_size=\"30697472\"] \n  24 -> 27 [size =\"30697472\"]\n  24 -> 36 [size =\"30697472\"]\n  24 -> 38 [size =\"30697472\"]\n  25 [size=\"109214720\", alpha=\"0.14\", expect_size=\"43685888\"] \n  25 -> 27 [size =\"43685888\"]\n  25 -> 31 [size =\"43685888\"]\n  25 -> 32 [size =\"43685888\"]\n  25 -> 38 [size =\"43685888\"]\n  26 [size=\"106424320\", alpha=\"0.18\", expect_size=\"42569728\"] \n  26 -> 27 [size =\"42569728\"]\n  26 -> 29 [size =\"42569728\"]\n  26 -> 31 [size =\"42569728\"]\n  26 -> 32 [size =\"42569728\"]\n  26 -> 35 [size =\"42569728\"]\n  26 -> 37 [size =\"42569728\"]\n  26 -> 38 [size =\"42569728\"]\n  27 [size=\"81981440\", alpha=\"0.01\", expect_size=\"32792576\"] \n  28 [size=\"81553920\", alpha=\"0.01\", expect_size=\"32621568\"] \n  29 [size=\"51934720\", alpha=\"0.18\", expect_size=\"20773888\"] \n  29 -> 40 [size =\"20773888\"]\n  30 [size=\"98478080\", alpha=\"0.18\", expect_size=\"39391232\"] \n  30 -> 40 [size =\"39391232\"]\n  31 [size=\"70146560\", alpha=\"0.17\", expect_size=\"28058624\"] \n  32 [size=\"49054720\", alpha=\"0.11\", expect_size=\"19621888\"] \n  33 [size=\"34580480\", alpha=\"0.19\", expect_size=\"13832192\"] \n  34 [size=\"94182400\", alpha=\"0.07\", expect_size=\"37672960\"] \n  35 [size=\"83361280\", alpha=\"0.11\", expect_size=\"33344512\"] \n  36 [size=\"50780160\", alpha=\"0.03\", expect_size=\"20312064\"] \n  37 [size=\"39654400\", alpha=\"0.06\", expect_size=\"15861760\"] \n  38 [size=\"42688000\", alpha=\"0.07\", expect_size=\"17075200\"] \n  39 [size=\"49932800\", alpha=\"0.10\", expect_size=\"19973120\"] \n  40 [size=\"35356160\", alpha=\"0.18\", expect_size=\"14142464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41280000\", alpha=\"0.04\", expect_size=\"16512000\"] \n  1 -> 6 [size =\"16512000\"]\n  2 [size=\"68800000\", alpha=\"0.17\", expect_size=\"27520000\"] \n  2 -> 4 [size =\"27520000\"]\n  2 -> 5 [size =\"27520000\"]\n  2 -> 6 [size =\"27520000\"]\n  3 [size=\"67235840\", alpha=\"0.18\", expect_size=\"26894336\"] \n  3 -> 4 [size =\"26894336\"]\n  3 -> 6 [size =\"26894336\"]\n  4 [size=\"94223360\", alpha=\"0.10\", expect_size=\"37689344\"] \n  4 -> 7 [size =\"37689344\"]\n  4 -> 8 [size =\"37689344\"]\n  5 [size=\"47549440\", alpha=\"0.03\", expect_size=\"19019776\"] \n  5 -> 8 [size =\"19019776\"]\n  6 [size=\"112368640\", alpha=\"0.10\", expect_size=\"44947456\"] \n  6 -> 7 [size =\"44947456\"]\n  6 -> 8 [size =\"44947456\"]\n  7 [size=\"61488640\", alpha=\"0.11\", expect_size=\"24595456\"] \n  7 -> 9 [size =\"24595456\"]\n  7 -> 10 [size =\"24595456\"]\n  8 [size=\"72148480\", alpha=\"0.13\", expect_size=\"28859392\"] \n  8 -> 9 [size =\"28859392\"]\n  8 -> 10 [size =\"28859392\"]\n  9 [size=\"83650560\", alpha=\"0.06\", expect_size=\"33460224\"] \n  9 -> 11 [size =\"33460224\"]\n  9 -> 12 [size =\"33460224\"]\n  9 -> 13 [size =\"33460224\"]\n  10 [size=\"129290240\", alpha=\"0.20\", expect_size=\"51716096\"] \n  10 -> 11 [size =\"51716096\"]\n  10 -> 12 [size =\"51716096\"]\n  10 -> 13 [size =\"51716096\"]\n  11 [size=\"45040640\", alpha=\"0.01\", expect_size=\"18016256\"] \n  11 -> 14 [size =\"18016256\"]\n  11 -> 15 [size =\"18016256\"]\n  12 [size=\"68899840\", alpha=\"0.05\", expect_size=\"27559936\"] \n  12 -> 14 [size =\"27559936\"]\n  12 -> 15 [size =\"27559936\"]\n  13 [size=\"52239360\", alpha=\"0.13\", expect_size=\"20895744\"] \n  13 -> 14 [size =\"20895744\"]\n  13 -> 15 [size =\"20895744\"]\n  14 [size=\"39544320\", alpha=\"0.04\", expect_size=\"15817728\"] \n  14 -> 16 [size =\"15817728\"]\n  15 [size=\"96908800\", alpha=\"0.03\", expect_size=\"38763520\"] \n  15 -> 16 [size =\"38763520\"]\n  15 -> 17 [size =\"38763520\"]\n  16 [size=\"112606720\", alpha=\"0.06\", expect_size=\"45042688\"] \n  16 -> 19 [size =\"45042688\"]\n  17 [size=\"55006720\", alpha=\"0.18\", expect_size=\"22002688\"] \n  17 -> 18 [size =\"22002688\"]\n  17 -> 19 [size =\"22002688\"]\n  18 [size=\"120501760\", alpha=\"0.00\", expect_size=\"48200704\"] \n  18 -> 20 [size =\"48200704\"]\n  18 -> 21 [size =\"48200704\"]\n  19 [size=\"79011840\", alpha=\"0.16\", expect_size=\"31604736\"] \n  19 -> 20 [size =\"31604736\"]\n  19 -> 21 [size =\"31604736\"]\n  20 [size=\"115750400\", alpha=\"0.06\", expect_size=\"46300160\"] \n  20 -> 22 [size =\"46300160\"]\n  20 -> 23 [size =\"46300160\"]\n  21 [size=\"115425280\", alpha=\"0.02\", expect_size=\"46170112\"] \n  21 -> 23 [size =\"46170112\"]\n  22 [size=\"124008960\", alpha=\"0.06\", expect_size=\"49603584\"] \n  22 -> 25 [size =\"49603584\"]\n  23 [size=\"36774400\", alpha=\"0.00\", expect_size=\"14709760\"] \n  23 -> 24 [size =\"14709760\"]\n  24 [size=\"110835200\", alpha=\"0.08\", expect_size=\"44334080\"] \n  24 -> 26 [size =\"44334080\"]\n  24 -> 27 [size =\"44334080\"]\n  24 -> 28 [size =\"44334080\"]\n  25 [size=\"16980480\", alpha=\"0.01\", expect_size=\"6792192\"] \n  25 -> 26 [size =\"6792192\"]\n  25 -> 27 [size =\"6792192\"]\n  25 -> 28 [size =\"6792192\"]\n  26 [size=\"34112000\", alpha=\"0.12\", expect_size=\"13644800\"] \n  26 -> 29 [size =\"13644800\"]\n  26 -> 30 [size =\"13644800\"]\n  26 -> 31 [size =\"13644800\"]\n  27 [size=\"70195200\", alpha=\"0.10\", expect_size=\"28078080\"] \n  27 -> 29 [size =\"28078080\"]\n  27 -> 30 [size =\"28078080\"]\n  27 -> 31 [size =\"28078080\"]\n  28 [size=\"59745280\", alpha=\"0.19\", expect_size=\"23898112\"] \n  28 -> 30 [size =\"23898112\"]\n  28 -> 31 [size =\"23898112\"]\n  29 [size=\"60487680\", alpha=\"0.19\", expect_size=\"24195072\"] \n  29 -> 32 [size =\"24195072\"]\n  29 -> 33 [size =\"24195072\"]\n  30 [size=\"35568640\", alpha=\"0.19\", expect_size=\"14227456\"] \n  30 -> 33 [size =\"14227456\"]\n  31 [size=\"72558080\", alpha=\"0.05\", expect_size=\"29023232\"] \n  31 -> 33 [size =\"29023232\"]\n  32 [size=\"81664000\", alpha=\"0.20\", expect_size=\"32665600\"] \n  32 -> 35 [size =\"32665600\"]\n  32 -> 36 [size =\"32665600\"]\n  33 [size=\"118579200\", alpha=\"0.02\", expect_size=\"47431680\"] \n  33 -> 34 [size =\"47431680\"]\n  33 -> 35 [size =\"47431680\"]\n  33 -> 36 [size =\"47431680\"]\n  34 [size=\"119470080\", alpha=\"0.08\", expect_size=\"47788032\"] \n  34 -> 37 [size =\"47788032\"]\n  34 -> 38 [size =\"47788032\"]\n  35 [size=\"47488000\", alpha=\"0.08\", expect_size=\"18995200\"] \n  35 -> 38 [size =\"18995200\"]\n  35 -> 39 [size =\"18995200\"]\n  36 [size=\"55040000\", alpha=\"0.05\", expect_size=\"22016000\"] \n  36 -> 37 [size =\"22016000\"]\n  36 -> 38 [size =\"22016000\"]\n  37 [size=\"123425280\", alpha=\"0.10\", expect_size=\"49370112\"] \n  37 -> 40 [size =\"49370112\"]\n  38 [size=\"65095680\", alpha=\"0.12\", expect_size=\"26038272\"] \n  38 -> 40 [size =\"26038272\"]\n  39 [size=\"57059840\", alpha=\"0.06\", expect_size=\"22823936\"] \n  39 -> 40 [size =\"22823936\"]\n  40 [size=\"51893760\", alpha=\"0.17\", expect_size=\"20757504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41232384\", alpha=\"0.19\", expect_size=\"20616192\"] \n  1 -> 38 [size =\"20616192\"]\n  1 -> 40 [size =\"20616192\"]\n  2 [size=\"94248960\", alpha=\"0.04\", expect_size=\"47124480\"] \n  2 -> 25 [size =\"47124480\"]\n  2 -> 26 [size =\"47124480\"]\n  2 -> 30 [size =\"47124480\"]\n  2 -> 32 [size =\"47124480\"]\n  2 -> 34 [size =\"47124480\"]\n  3 [size=\"67289088\", alpha=\"0.02\", expect_size=\"33644544\"] \n  3 -> 28 [size =\"33644544\"]\n  3 -> 32 [size =\"33644544\"]\n  3 -> 34 [size =\"33644544\"]\n  3 -> 36 [size =\"33644544\"]\n  3 -> 40 [size =\"33644544\"]\n  4 [size=\"58939392\", alpha=\"0.20\", expect_size=\"29469696\"] \n  4 -> 34 [size =\"29469696\"]\n  4 -> 35 [size =\"29469696\"]\n  5 [size=\"32028672\", alpha=\"0.03\", expect_size=\"16014336\"] \n  5 -> 25 [size =\"16014336\"]\n  5 -> 35 [size =\"16014336\"]\n  5 -> 36 [size =\"16014336\"]\n  5 -> 40 [size =\"16014336\"]\n  6 [size=\"36042752\", alpha=\"0.01\", expect_size=\"18021376\"] \n  6 -> 29 [size =\"18021376\"]\n  6 -> 32 [size =\"18021376\"]\n  6 -> 34 [size =\"18021376\"]\n  6 -> 35 [size =\"18021376\"]\n  6 -> 36 [size =\"18021376\"]\n  7 [size=\"21917696\", alpha=\"0.15\", expect_size=\"10958848\"] \n  7 -> 32 [size =\"10958848\"]\n  7 -> 34 [size =\"10958848\"]\n  7 -> 34 [size =\"10958848\"]\n  7 -> 36 [size =\"10958848\"]\n  7 -> 40 [size =\"10958848\"]\n  8 [size=\"77139968\", alpha=\"0.17\", expect_size=\"38569984\"] \n  8 -> 28 [size =\"38569984\"]\n  8 -> 29 [size =\"38569984\"]\n  8 -> 33 [size =\"38569984\"]\n  8 -> 40 [size =\"38569984\"]\n  9 [size=\"68368384\", alpha=\"0.03\", expect_size=\"34184192\"] \n  9 -> 33 [size =\"34184192\"]\n  9 -> 35 [size =\"34184192\"]\n  10 [size=\"97953792\", alpha=\"0.11\", expect_size=\"48976896\"] \n  10 -> 24 [size =\"48976896\"]\n  10 -> 25 [size =\"48976896\"]\n  10 -> 34 [size =\"48976896\"]\n  11 [size=\"86312960\", alpha=\"0.01\", expect_size=\"43156480\"] \n  11 -> 25 [size =\"43156480\"]\n  11 -> 25 [size =\"43156480\"]\n  11 -> 28 [size =\"43156480\"]\n  11 -> 30 [size =\"43156480\"]\n  11 -> 35 [size =\"43156480\"]\n  11 -> 36 [size =\"43156480\"]\n  11 -> 37 [size =\"43156480\"]\n  11 -> 40 [size =\"43156480\"]\n  12 [size=\"80435200\", alpha=\"0.06\", expect_size=\"40217600\"] \n  12 -> 24 [size =\"40217600\"]\n  12 -> 25 [size =\"40217600\"]\n  12 -> 26 [size =\"40217600\"]\n  12 -> 29 [size =\"40217600\"]\n  12 -> 36 [size =\"40217600\"]\n  12 -> 38 [size =\"40217600\"]\n  13 [size=\"97538048\", alpha=\"0.01\", expect_size=\"48769024\"] \n  13 -> 24 [size =\"48769024\"]\n  13 -> 25 [size =\"48769024\"]\n  13 -> 26 [size =\"48769024\"]\n  13 -> 28 [size =\"48769024\"]\n  13 -> 31 [size =\"48769024\"]\n  13 -> 34 [size =\"48769024\"]\n  13 -> 35 [size =\"48769024\"]\n  14 [size=\"14215168\", alpha=\"0.01\", expect_size=\"7107584\"] \n  14 -> 26 [size =\"7107584\"]\n  14 -> 27 [size =\"7107584\"]\n  15 [size=\"13344768\", alpha=\"0.13\", expect_size=\"6672384\"] \n  15 -> 27 [size =\"6672384\"]\n  15 -> 29 [size =\"6672384\"]\n  15 -> 33 [size =\"6672384\"]\n  15 -> 34 [size =\"6672384\"]\n  15 -> 38 [size =\"6672384\"]\n  16 [size=\"27398144\", alpha=\"0.02\", expect_size=\"13699072\"] \n  16 -> 32 [size =\"13699072\"]\n  16 -> 34 [size =\"13699072\"]\n  16 -> 35 [size =\"13699072\"]\n  16 -> 40 [size =\"13699072\"]\n  17 [size=\"29782016\", alpha=\"0.08\", expect_size=\"14891008\"] \n  17 -> 28 [size =\"14891008\"]\n  17 -> 34 [size =\"14891008\"]\n  17 -> 35 [size =\"14891008\"]\n  17 -> 40 [size =\"14891008\"]\n  18 [size=\"101783552\", alpha=\"0.14\", expect_size=\"50891776\"] \n  18 -> 24 [size =\"50891776\"]\n  18 -> 25 [size =\"50891776\"]\n  18 -> 27 [size =\"50891776\"]\n  18 -> 32 [size =\"50891776\"]\n  18 -> 35 [size =\"50891776\"]\n  18 -> 36 [size =\"50891776\"]\n  18 -> 37 [size =\"50891776\"]\n  19 [size=\"87494656\", alpha=\"0.04\", expect_size=\"43747328\"] \n  19 -> 25 [size =\"43747328\"]\n  19 -> 28 [size =\"43747328\"]\n  19 -> 30 [size =\"43747328\"]\n  19 -> 35 [size =\"43747328\"]\n  19 -> 36 [size =\"43747328\"]\n  19 -> 37 [size =\"43747328\"]\n  19 -> 40 [size =\"43747328\"]\n  20 [size=\"103323648\", alpha=\"0.17\", expect_size=\"51661824\"] \n  20 -> 24 [size =\"51661824\"]\n  20 -> 25 [size =\"51661824\"]\n  20 -> 28 [size =\"51661824\"]\n  20 -> 33 [size =\"51661824\"]\n  20 -> 36 [size =\"51661824\"]\n  20 -> 39 [size =\"51661824\"]\n  21 [size=\"58943488\", alpha=\"0.17\", expect_size=\"29471744\"] \n  21 -> 30 [size =\"29471744\"]\n  21 -> 31 [size =\"29471744\"]\n  21 -> 32 [size =\"29471744\"]\n  21 -> 37 [size =\"29471744\"]\n  22 [size=\"63358976\", alpha=\"0.15\", expect_size=\"31679488\"] \n  22 -> 30 [size =\"31679488\"]\n  22 -> 35 [size =\"31679488\"]\n  22 -> 36 [size =\"31679488\"]\n  22 -> 37 [size =\"31679488\"]\n  22 -> 38 [size =\"31679488\"]\n  22 -> 39 [size =\"31679488\"]\n  22 -> 40 [size =\"31679488\"]\n  23 [size=\"92633088\", alpha=\"0.04\", expect_size=\"46316544\"] \n  23 -> 25 [size =\"46316544\"]\n  23 -> 30 [size =\"46316544\"]\n  23 -> 33 [size =\"46316544\"]\n  23 -> 34 [size =\"46316544\"]\n  23 -> 35 [size =\"46316544\"]\n  23 -> 36 [size =\"46316544\"]\n  23 -> 37 [size =\"46316544\"]\n  23 -> 40 [size =\"46316544\"]\n  24 [size=\"99260416\", alpha=\"0.04\", expect_size=\"49630208\"] \n  25 [size=\"102404096\", alpha=\"0.09\", expect_size=\"51202048\"] \n  26 [size=\"68003840\", alpha=\"0.19\", expect_size=\"34001920\"] \n  27 [size=\"76916736\", alpha=\"0.11\", expect_size=\"38458368\"] \n  28 [size=\"19124224\", alpha=\"0.18\", expect_size=\"9562112\"] \n  29 [size=\"86245376\", alpha=\"0.17\", expect_size=\"43122688\"] \n  30 [size=\"102871040\", alpha=\"0.14\", expect_size=\"51435520\"] \n  31 [size=\"88426496\", alpha=\"0.07\", expect_size=\"44213248\"] \n  32 [size=\"73658368\", alpha=\"0.15\", expect_size=\"36829184\"] \n  33 [size=\"47962112\", alpha=\"0.02\", expect_size=\"23981056\"] \n  34 [size=\"68139008\", alpha=\"0.10\", expect_size=\"34069504\"] \n  35 [size=\"88272896\", alpha=\"0.18\", expect_size=\"44136448\"] \n  36 [size=\"35536896\", alpha=\"0.09\", expect_size=\"17768448\"] \n  37 [size=\"29857792\", alpha=\"0.05\", expect_size=\"14928896\"] \n  38 [size=\"82671616\", alpha=\"0.00\", expect_size=\"41335808\"] \n  39 [size=\"71888896\", alpha=\"0.12\", expect_size=\"35944448\"] \n  40 [size=\"55394304\", alpha=\"0.03\", expect_size=\"27697152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59275264\", alpha=\"0.07\", expect_size=\"29637632\"] \n  1 -> 4 [size =\"29637632\"]\n  2 [size=\"44019712\", alpha=\"0.18\", expect_size=\"22009856\"] \n  2 -> 3 [size =\"22009856\"]\n  3 [size=\"27181056\", alpha=\"0.16\", expect_size=\"13590528\"] \n  3 -> 6 [size =\"13590528\"]\n  3 -> 7 [size =\"13590528\"]\n  4 [size=\"87668736\", alpha=\"0.17\", expect_size=\"43834368\"] \n  4 -> 5 [size =\"43834368\"]\n  5 [size=\"92233728\", alpha=\"0.08\", expect_size=\"46116864\"] \n  5 -> 8 [size =\"46116864\"]\n  5 -> 9 [size =\"46116864\"]\n  6 [size=\"99977216\", alpha=\"0.07\", expect_size=\"49988608\"] \n  7 [size=\"67999744\", alpha=\"0.14\", expect_size=\"33999872\"] \n  7 -> 10 [size =\"33999872\"]\n  8 [size=\"19867648\", alpha=\"0.18\", expect_size=\"9933824\"] \n  8 -> 12 [size =\"9933824\"]\n  8 -> 13 [size =\"9933824\"]\n  9 [size=\"60889088\", alpha=\"0.15\", expect_size=\"30444544\"] \n  9 -> 13 [size =\"30444544\"]\n  10 [size=\"39354368\", alpha=\"0.19\", expect_size=\"19677184\"] \n  10 -> 11 [size =\"19677184\"]\n  10 -> 12 [size =\"19677184\"]\n  11 [size=\"89219072\", alpha=\"0.05\", expect_size=\"44609536\"] \n  11 -> 15 [size =\"44609536\"]\n  12 [size=\"28194816\", alpha=\"0.10\", expect_size=\"14097408\"] \n  13 [size=\"19765248\", alpha=\"0.19\", expect_size=\"9882624\"] \n  13 -> 14 [size =\"9882624\"]\n  13 -> 15 [size =\"9882624\"]\n  14 [size=\"94595072\", alpha=\"0.10\", expect_size=\"47297536\"] \n  14 -> 16 [size =\"47297536\"]\n  15 [size=\"82053120\", alpha=\"0.01\", expect_size=\"41026560\"] \n  15 -> 16 [size =\"41026560\"]\n  15 -> 17 [size =\"41026560\"]\n  16 [size=\"26851328\", alpha=\"0.16\", expect_size=\"13425664\"] \n  16 -> 18 [size =\"13425664\"]\n  16 -> 19 [size =\"13425664\"]\n  16 -> 20 [size =\"13425664\"]\n  17 [size=\"59615232\", alpha=\"0.08\", expect_size=\"29807616\"] \n  17 -> 18 [size =\"29807616\"]\n  17 -> 20 [size =\"29807616\"]\n  18 [size=\"29171712\", alpha=\"0.14\", expect_size=\"14585856\"] \n  18 -> 22 [size =\"14585856\"]\n  19 [size=\"18911232\", alpha=\"0.04\", expect_size=\"9455616\"] \n  19 -> 21 [size =\"9455616\"]\n  20 [size=\"87752704\", alpha=\"0.06\", expect_size=\"43876352\"] \n  20 -> 22 [size =\"43876352\"]\n  21 [size=\"82274304\", alpha=\"0.17\", expect_size=\"41137152\"] \n  21 -> 24 [size =\"41137152\"]\n  22 [size=\"10768384\", alpha=\"0.16\", expect_size=\"5384192\"] \n  22 -> 23 [size =\"5384192\"]\n  22 -> 24 [size =\"5384192\"]\n  23 [size=\"58830848\", alpha=\"0.19\", expect_size=\"29415424\"] \n  23 -> 25 [size =\"29415424\"]\n  23 -> 26 [size =\"29415424\"]\n  24 [size=\"54976512\", alpha=\"0.18\", expect_size=\"27488256\"] \n  25 [size=\"101574656\", alpha=\"0.14\", expect_size=\"50787328\"] \n  25 -> 27 [size =\"50787328\"]\n  25 -> 29 [size =\"50787328\"]\n  26 [size=\"11976704\", alpha=\"0.09\", expect_size=\"5988352\"] \n  26 -> 28 [size =\"5988352\"]\n  27 [size=\"88524800\", alpha=\"0.17\", expect_size=\"44262400\"] \n  27 -> 30 [size =\"44262400\"]\n  27 -> 31 [size =\"44262400\"]\n  28 [size=\"29896704\", alpha=\"0.06\", expect_size=\"14948352\"] \n  28 -> 30 [size =\"14948352\"]\n  28 -> 31 [size =\"14948352\"]\n  28 -> 32 [size =\"14948352\"]\n  29 [size=\"97808384\", alpha=\"0.06\", expect_size=\"48904192\"] \n  30 [size=\"22226944\", alpha=\"0.12\", expect_size=\"11113472\"] \n  30 -> 34 [size =\"11113472\"]\n  31 [size=\"48324608\", alpha=\"0.15\", expect_size=\"24162304\"] \n  31 -> 33 [size =\"24162304\"]\n  31 -> 35 [size =\"24162304\"]\n  32 [size=\"36153344\", alpha=\"0.02\", expect_size=\"18076672\"] \n  32 -> 33 [size =\"18076672\"]\n  32 -> 34 [size =\"18076672\"]\n  32 -> 35 [size =\"18076672\"]\n  33 [size=\"19243008\", alpha=\"0.10\", expect_size=\"9621504\"] \n  34 [size=\"14295040\", alpha=\"0.17\", expect_size=\"7147520\"] \n  34 -> 36 [size =\"7147520\"]\n  34 -> 37 [size =\"7147520\"]\n  35 [size=\"98492416\", alpha=\"0.18\", expect_size=\"49246208\"] \n  35 -> 37 [size =\"49246208\"]\n  36 [size=\"70465536\", alpha=\"0.03\", expect_size=\"35232768\"] \n  36 -> 40 [size =\"35232768\"]\n  37 [size=\"19712000\", alpha=\"0.19\", expect_size=\"9856000\"] \n  37 -> 38 [size =\"9856000\"]\n  37 -> 39 [size =\"9856000\"]\n  38 [size=\"98113536\", alpha=\"0.18\", expect_size=\"49056768\"] \n  39 [size=\"31942656\", alpha=\"0.19\", expect_size=\"15971328\"] \n  40 [size=\"60344320\", alpha=\"0.17\", expect_size=\"30172160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40792064\", alpha=\"0.03\", expect_size=\"20396032\"] \n  1 -> 5 [size =\"20396032\"]\n  1 -> 6 [size =\"20396032\"]\n  2 [size=\"25354240\", alpha=\"0.04\", expect_size=\"12677120\"] \n  2 -> 5 [size =\"12677120\"]\n  2 -> 7 [size =\"12677120\"]\n  3 [size=\"75636736\", alpha=\"0.17\", expect_size=\"37818368\"] \n  3 -> 5 [size =\"37818368\"]\n  3 -> 6 [size =\"37818368\"]\n  3 -> 7 [size =\"37818368\"]\n  4 [size=\"40929280\", alpha=\"0.13\", expect_size=\"20464640\"] \n  5 [size=\"95813632\", alpha=\"0.01\", expect_size=\"47906816\"] \n  5 -> 9 [size =\"47906816\"]\n  6 [size=\"74952704\", alpha=\"0.05\", expect_size=\"37476352\"] \n  6 -> 10 [size =\"37476352\"]\n  7 [size=\"52326400\", alpha=\"0.11\", expect_size=\"26163200\"] \n  7 -> 8 [size =\"26163200\"]\n  7 -> 9 [size =\"26163200\"]\n  8 [size=\"73869312\", alpha=\"0.17\", expect_size=\"36934656\"] \n  8 -> 14 [size =\"36934656\"]\n  8 -> 15 [size =\"36934656\"]\n  9 [size=\"76445696\", alpha=\"0.13\", expect_size=\"38222848\"] \n  9 -> 11 [size =\"38222848\"]\n  9 -> 13 [size =\"38222848\"]\n  9 -> 14 [size =\"38222848\"]\n  10 [size=\"92692480\", alpha=\"0.07\", expect_size=\"46346240\"] \n  10 -> 12 [size =\"46346240\"]\n  10 -> 13 [size =\"46346240\"]\n  10 -> 16 [size =\"46346240\"]\n  10 -> 17 [size =\"46346240\"]\n  11 [size=\"79443968\", alpha=\"0.09\", expect_size=\"39721984\"] \n  11 -> 19 [size =\"39721984\"]\n  11 -> 20 [size =\"39721984\"]\n  11 -> 21 [size =\"39721984\"]\n  12 [size=\"93911040\", alpha=\"0.00\", expect_size=\"46955520\"] \n  12 -> 19 [size =\"46955520\"]\n  13 [size=\"18069504\", alpha=\"0.19\", expect_size=\"9034752\"] \n  13 -> 18 [size =\"9034752\"]\n  13 -> 20 [size =\"9034752\"]\n  13 -> 21 [size =\"9034752\"]\n  14 [size=\"100560896\", alpha=\"0.04\", expect_size=\"50280448\"] \n  14 -> 20 [size =\"50280448\"]\n  15 [size=\"69586944\", alpha=\"0.04\", expect_size=\"34793472\"] \n  15 -> 18 [size =\"34793472\"]\n  16 [size=\"76566528\", alpha=\"0.19\", expect_size=\"38283264\"] \n  16 -> 20 [size =\"38283264\"]\n  17 [size=\"101691392\", alpha=\"0.14\", expect_size=\"50845696\"] \n  17 -> 20 [size =\"50845696\"]\n  17 -> 21 [size =\"50845696\"]\n  18 [size=\"58198016\", alpha=\"0.06\", expect_size=\"29099008\"] \n  18 -> 26 [size =\"29099008\"]\n  19 [size=\"42678272\", alpha=\"0.20\", expect_size=\"21339136\"] \n  19 -> 26 [size =\"21339136\"]\n  19 -> 28 [size =\"21339136\"]\n  20 [size=\"102518784\", alpha=\"0.09\", expect_size=\"51259392\"] \n  20 -> 23 [size =\"51259392\"]\n  20 -> 24 [size =\"51259392\"]\n  20 -> 25 [size =\"51259392\"]\n  20 -> 26 [size =\"51259392\"]\n  20 -> 27 [size =\"51259392\"]\n  21 [size=\"40493056\", alpha=\"0.04\", expect_size=\"20246528\"] \n  21 -> 22 [size =\"20246528\"]\n  21 -> 23 [size =\"20246528\"]\n  21 -> 24 [size =\"20246528\"]\n  21 -> 25 [size =\"20246528\"]\n  21 -> 27 [size =\"20246528\"]\n  21 -> 28 [size =\"20246528\"]\n  22 [size=\"82276352\", alpha=\"0.02\", expect_size=\"41138176\"] \n  22 -> 29 [size =\"41138176\"]\n  22 -> 34 [size =\"41138176\"]\n  23 [size=\"83449856\", alpha=\"0.14\", expect_size=\"41724928\"] \n  23 -> 31 [size =\"41724928\"]\n  23 -> 34 [size =\"41724928\"]\n  24 [size=\"79153152\", alpha=\"0.13\", expect_size=\"39576576\"] \n  24 -> 35 [size =\"39576576\"]\n  25 [size=\"96862208\", alpha=\"0.09\", expect_size=\"48431104\"] \n  26 [size=\"21264384\", alpha=\"0.20\", expect_size=\"10632192\"] \n  26 -> 30 [size =\"10632192\"]\n  26 -> 34 [size =\"10632192\"]\n  27 [size=\"15773696\", alpha=\"0.19\", expect_size=\"7886848\"] \n  27 -> 29 [size =\"7886848\"]\n  27 -> 30 [size =\"7886848\"]\n  27 -> 33 [size =\"7886848\"]\n  28 [size=\"80783360\", alpha=\"0.12\", expect_size=\"40391680\"] \n  28 -> 29 [size =\"40391680\"]\n  28 -> 30 [size =\"40391680\"]\n  28 -> 32 [size =\"40391680\"]\n  28 -> 33 [size =\"40391680\"]\n  28 -> 34 [size =\"40391680\"]\n  29 [size=\"16875520\", alpha=\"0.18\", expect_size=\"8437760\"] \n  29 -> 37 [size =\"8437760\"]\n  29 -> 40 [size =\"8437760\"]\n  30 [size=\"16078848\", alpha=\"0.02\", expect_size=\"8039424\"] \n  30 -> 36 [size =\"8039424\"]\n  30 -> 37 [size =\"8039424\"]\n  30 -> 39 [size =\"8039424\"]\n  30 -> 40 [size =\"8039424\"]\n  31 [size=\"56569856\", alpha=\"0.01\", expect_size=\"28284928\"] \n  31 -> 38 [size =\"28284928\"]\n  32 [size=\"74283008\", alpha=\"0.17\", expect_size=\"37141504\"] \n  32 -> 36 [size =\"37141504\"]\n  32 -> 37 [size =\"37141504\"]\n  33 [size=\"84086784\", alpha=\"0.15\", expect_size=\"42043392\"] \n  33 -> 36 [size =\"42043392\"]\n  33 -> 39 [size =\"42043392\"]\n  34 [size=\"56762368\", alpha=\"0.12\", expect_size=\"28381184\"] \n  34 -> 37 [size =\"28381184\"]\n  34 -> 40 [size =\"28381184\"]\n  35 [size=\"22755328\", alpha=\"0.02\", expect_size=\"11377664\"] \n  35 -> 39 [size =\"11377664\"]\n  36 [size=\"67391488\", alpha=\"0.05\", expect_size=\"33695744\"] \n  37 [size=\"66394112\", alpha=\"0.08\", expect_size=\"33197056\"] \n  38 [size=\"61607936\", alpha=\"0.01\", expect_size=\"30803968\"] \n  39 [size=\"22044672\", alpha=\"0.01\", expect_size=\"11022336\"] \n  40 [size=\"13664256\", alpha=\"0.00\", expect_size=\"6832128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17943040\", alpha=\"0.01\", expect_size=\"7177216\"] \n  1 -> 6 [size =\"7177216\"]\n  1 -> 7 [size =\"7177216\"]\n  1 -> 8 [size =\"7177216\"]\n  1 -> 9 [size =\"7177216\"]\n  1 -> 10 [size =\"7177216\"]\n  2 [size=\"68316160\", alpha=\"0.16\", expect_size=\"27326464\"] \n  2 -> 6 [size =\"27326464\"]\n  2 -> 9 [size =\"27326464\"]\n  2 -> 10 [size =\"27326464\"]\n  2 -> 11 [size =\"27326464\"]\n  3 [size=\"105024000\", alpha=\"0.06\", expect_size=\"42009600\"] \n  3 -> 6 [size =\"42009600\"]\n  3 -> 9 [size =\"42009600\"]\n  3 -> 10 [size =\"42009600\"]\n  3 -> 11 [size =\"42009600\"]\n  4 [size=\"115985920\", alpha=\"0.00\", expect_size=\"46394368\"] \n  4 -> 8 [size =\"46394368\"]\n  4 -> 9 [size =\"46394368\"]\n  4 -> 10 [size =\"46394368\"]\n  4 -> 11 [size =\"46394368\"]\n  5 [size=\"109056000\", alpha=\"0.05\", expect_size=\"43622400\"] \n  5 -> 6 [size =\"43622400\"]\n  5 -> 8 [size =\"43622400\"]\n  5 -> 9 [size =\"43622400\"]\n  5 -> 11 [size =\"43622400\"]\n  6 [size=\"120422400\", alpha=\"0.19\", expect_size=\"48168960\"] \n  6 -> 13 [size =\"48168960\"]\n  6 -> 14 [size =\"48168960\"]\n  6 -> 15 [size =\"48168960\"]\n  6 -> 16 [size =\"48168960\"]\n  7 [size=\"113518080\", alpha=\"0.12\", expect_size=\"45407232\"] \n  7 -> 12 [size =\"45407232\"]\n  7 -> 13 [size =\"45407232\"]\n  7 -> 14 [size =\"45407232\"]\n  7 -> 15 [size =\"45407232\"]\n  7 -> 16 [size =\"45407232\"]\n  8 [size=\"46694400\", alpha=\"0.14\", expect_size=\"18677760\"] \n  8 -> 12 [size =\"18677760\"]\n  8 -> 13 [size =\"18677760\"]\n  8 -> 14 [size =\"18677760\"]\n  8 -> 16 [size =\"18677760\"]\n  8 -> 16 [size =\"18677760\"]\n  9 [size=\"20776960\", alpha=\"0.20\", expect_size=\"8310784\"] \n  9 -> 14 [size =\"8310784\"]\n  10 [size=\"72852480\", alpha=\"0.02\", expect_size=\"29140992\"] \n  10 -> 14 [size =\"29140992\"]\n  10 -> 15 [size =\"29140992\"]\n  11 [size=\"80729600\", alpha=\"0.20\", expect_size=\"32291840\"] \n  11 -> 14 [size =\"32291840\"]\n  11 -> 15 [size =\"32291840\"]\n  11 -> 16 [size =\"32291840\"]\n  12 [size=\"89326080\", alpha=\"0.09\", expect_size=\"35730432\"] \n  12 -> 17 [size =\"35730432\"]\n  12 -> 19 [size =\"35730432\"]\n  12 -> 20 [size =\"35730432\"]\n  13 [size=\"63500800\", alpha=\"0.09\", expect_size=\"25400320\"] \n  13 -> 17 [size =\"25400320\"]\n  13 -> 18 [size =\"25400320\"]\n  13 -> 19 [size =\"25400320\"]\n  13 -> 20 [size =\"25400320\"]\n  13 -> 21 [size =\"25400320\"]\n  14 [size=\"100971520\", alpha=\"0.11\", expect_size=\"40388608\"] \n  14 -> 17 [size =\"40388608\"]\n  14 -> 18 [size =\"40388608\"]\n  14 -> 19 [size =\"40388608\"]\n  14 -> 20 [size =\"40388608\"]\n  14 -> 21 [size =\"40388608\"]\n  15 [size=\"101493760\", alpha=\"0.07\", expect_size=\"40597504\"] \n  15 -> 17 [size =\"40597504\"]\n  15 -> 18 [size =\"40597504\"]\n  15 -> 19 [size =\"40597504\"]\n  15 -> 20 [size =\"40597504\"]\n  15 -> 21 [size =\"40597504\"]\n  16 [size=\"14261760\", alpha=\"0.19\", expect_size=\"5704704\"] \n  16 -> 17 [size =\"5704704\"]\n  16 -> 19 [size =\"5704704\"]\n  16 -> 20 [size =\"5704704\"]\n  17 [size=\"123496960\", alpha=\"0.18\", expect_size=\"49398784\"] \n  17 -> 22 [size =\"49398784\"]\n  18 [size=\"75873280\", alpha=\"0.04\", expect_size=\"30349312\"] \n  19 [size=\"40460800\", alpha=\"0.17\", expect_size=\"16184320\"] \n  19 -> 22 [size =\"16184320\"]\n  19 -> 23 [size =\"16184320\"]\n  19 -> 24 [size =\"16184320\"]\n  19 -> 25 [size =\"16184320\"]\n  19 -> 26 [size =\"16184320\"]\n  20 [size=\"38016000\", alpha=\"0.04\", expect_size=\"15206400\"] \n  20 -> 23 [size =\"15206400\"]\n  20 -> 24 [size =\"15206400\"]\n  20 -> 25 [size =\"15206400\"]\n  20 -> 25 [size =\"15206400\"]\n  20 -> 26 [size =\"15206400\"]\n  21 [size=\"50014720\", alpha=\"0.12\", expect_size=\"20005888\"] \n  22 [size=\"48276480\", alpha=\"0.09\", expect_size=\"19310592\"] \n  22 -> 28 [size =\"19310592\"]\n  22 -> 30 [size =\"19310592\"]\n  23 [size=\"102535680\", alpha=\"0.02\", expect_size=\"41014272\"] \n  23 -> 28 [size =\"41014272\"]\n  23 -> 30 [size =\"41014272\"]\n  23 -> 31 [size =\"41014272\"]\n  24 [size=\"38400000\", alpha=\"0.12\", expect_size=\"15360000\"] \n  24 -> 27 [size =\"15360000\"]\n  24 -> 28 [size =\"15360000\"]\n  24 -> 30 [size =\"15360000\"]\n  24 -> 31 [size =\"15360000\"]\n  24 -> 32 [size =\"15360000\"]\n  25 [size=\"105914880\", alpha=\"0.18\", expect_size=\"42365952\"] \n  25 -> 27 [size =\"42365952\"]\n  25 -> 28 [size =\"42365952\"]\n  25 -> 29 [size =\"42365952\"]\n  25 -> 30 [size =\"42365952\"]\n  26 [size=\"28979200\", alpha=\"0.03\", expect_size=\"11591680\"] \n  26 -> 27 [size =\"11591680\"]\n  26 -> 28 [size =\"11591680\"]\n  26 -> 29 [size =\"11591680\"]\n  26 -> 30 [size =\"11591680\"]\n  27 [size=\"21194240\", alpha=\"0.05\", expect_size=\"8477696\"] \n  27 -> 33 [size =\"8477696\"]\n  27 -> 34 [size =\"8477696\"]\n  27 -> 36 [size =\"8477696\"]\n  27 -> 37 [size =\"8477696\"]\n  28 [size=\"125135360\", alpha=\"0.12\", expect_size=\"50054144\"] \n  28 -> 33 [size =\"50054144\"]\n  28 -> 34 [size =\"50054144\"]\n  28 -> 36 [size =\"50054144\"]\n  28 -> 37 [size =\"50054144\"]\n  29 [size=\"30164480\", alpha=\"0.01\", expect_size=\"12065792\"] \n  29 -> 33 [size =\"12065792\"]\n  29 -> 34 [size =\"12065792\"]\n  29 -> 37 [size =\"12065792\"]\n  29 -> 37 [size =\"12065792\"]\n  30 [size=\"129738240\", alpha=\"0.20\", expect_size=\"51895296\"] \n  30 -> 33 [size =\"51895296\"]\n  30 -> 34 [size =\"51895296\"]\n  31 [size=\"34716160\", alpha=\"0.10\", expect_size=\"13886464\"] \n  31 -> 33 [size =\"13886464\"]\n  31 -> 35 [size =\"13886464\"]\n  31 -> 36 [size =\"13886464\"]\n  32 [size=\"103825920\", alpha=\"0.13\", expect_size=\"41530368\"] \n  32 -> 33 [size =\"41530368\"]\n  32 -> 34 [size =\"41530368\"]\n  32 -> 35 [size =\"41530368\"]\n  32 -> 36 [size =\"41530368\"]\n  32 -> 37 [size =\"41530368\"]\n  33 [size=\"38389760\", alpha=\"0.05\", expect_size=\"15355904\"] \n  33 -> 38 [size =\"15355904\"]\n  33 -> 39 [size =\"15355904\"]\n  33 -> 40 [size =\"15355904\"]\n  34 [size=\"48284160\", alpha=\"0.12\", expect_size=\"19313664\"] \n  34 -> 38 [size =\"19313664\"]\n  34 -> 40 [size =\"19313664\"]\n  35 [size=\"118423040\", alpha=\"0.13\", expect_size=\"47369216\"] \n  35 -> 38 [size =\"47369216\"]\n  36 [size=\"108830720\", alpha=\"0.15\", expect_size=\"43532288\"] \n  36 -> 38 [size =\"43532288\"]\n  36 -> 39 [size =\"43532288\"]\n  36 -> 40 [size =\"43532288\"]\n  37 [size=\"126822400\", alpha=\"0.16\", expect_size=\"50728960\"] \n  37 -> 38 [size =\"50728960\"]\n  37 -> 39 [size =\"50728960\"]\n  37 -> 40 [size =\"50728960\"]\n  38 [size=\"36881920\", alpha=\"0.07\", expect_size=\"14752768\"] \n  39 [size=\"108526080\", alpha=\"0.03\", expect_size=\"43410432\"] \n  40 [size=\"113497600\", alpha=\"0.03\", expect_size=\"45399040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100179968\", alpha=\"0.05\", expect_size=\"50089984\"] \n  1 -> 7 [size =\"50089984\"]\n  1 -> 8 [size =\"50089984\"]\n  1 -> 9 [size =\"50089984\"]\n  1 -> 10 [size =\"50089984\"]\n  1 -> 13 [size =\"50089984\"]\n  2 [size=\"74016768\", alpha=\"0.17\", expect_size=\"37008384\"] \n  2 -> 7 [size =\"37008384\"]\n  2 -> 9 [size =\"37008384\"]\n  3 [size=\"86091776\", alpha=\"0.17\", expect_size=\"43045888\"] \n  3 -> 7 [size =\"43045888\"]\n  3 -> 9 [size =\"43045888\"]\n  3 -> 10 [size =\"43045888\"]\n  3 -> 11 [size =\"43045888\"]\n  4 [size=\"33032192\", alpha=\"0.12\", expect_size=\"16516096\"] \n  4 -> 7 [size =\"16516096\"]\n  4 -> 10 [size =\"16516096\"]\n  4 -> 11 [size =\"16516096\"]\n  4 -> 12 [size =\"16516096\"]\n  4 -> 13 [size =\"16516096\"]\n  5 [size=\"57436160\", alpha=\"0.02\", expect_size=\"28718080\"] \n  5 -> 9 [size =\"28718080\"]\n  5 -> 11 [size =\"28718080\"]\n  5 -> 13 [size =\"28718080\"]\n  6 [size=\"103172096\", alpha=\"0.04\", expect_size=\"51586048\"] \n  6 -> 7 [size =\"51586048\"]\n  6 -> 10 [size =\"51586048\"]\n  6 -> 13 [size =\"51586048\"]\n  6 -> 14 [size =\"51586048\"]\n  7 [size=\"79192064\", alpha=\"0.13\", expect_size=\"39596032\"] \n  7 -> 17 [size =\"39596032\"]\n  7 -> 18 [size =\"39596032\"]\n  8 [size=\"32010240\", alpha=\"0.17\", expect_size=\"16005120\"] \n  8 -> 17 [size =\"16005120\"]\n  8 -> 20 [size =\"16005120\"]\n  9 [size=\"80517120\", alpha=\"0.10\", expect_size=\"40258560\"] \n  9 -> 15 [size =\"40258560\"]\n  9 -> 17 [size =\"40258560\"]\n  9 -> 18 [size =\"40258560\"]\n  9 -> 19 [size =\"40258560\"]\n  10 [size=\"27641856\", alpha=\"0.14\", expect_size=\"13820928\"] \n  10 -> 18 [size =\"13820928\"]\n  11 [size=\"21207040\", alpha=\"0.13\", expect_size=\"10603520\"] \n  11 -> 20 [size =\"10603520\"]\n  12 [size=\"46749696\", alpha=\"0.13\", expect_size=\"23374848\"] \n  12 -> 16 [size =\"23374848\"]\n  12 -> 18 [size =\"23374848\"]\n  12 -> 19 [size =\"23374848\"]\n  12 -> 20 [size =\"23374848\"]\n  13 [size=\"34840576\", alpha=\"0.16\", expect_size=\"17420288\"] \n  13 -> 15 [size =\"17420288\"]\n  13 -> 17 [size =\"17420288\"]\n  13 -> 18 [size =\"17420288\"]\n  13 -> 19 [size =\"17420288\"]\n  14 [size=\"21919744\", alpha=\"0.03\", expect_size=\"10959872\"] \n  14 -> 17 [size =\"10959872\"]\n  14 -> 17 [size =\"10959872\"]\n  14 -> 18 [size =\"10959872\"]\n  14 -> 19 [size =\"10959872\"]\n  15 [size=\"80594944\", alpha=\"0.14\", expect_size=\"40297472\"] \n  15 -> 22 [size =\"40297472\"]\n  15 -> 25 [size =\"40297472\"]\n  16 [size=\"92137472\", alpha=\"0.03\", expect_size=\"46068736\"] \n  16 -> 21 [size =\"46068736\"]\n  17 [size=\"17108992\", alpha=\"0.00\", expect_size=\"8554496\"] \n  17 -> 21 [size =\"8554496\"]\n  17 -> 22 [size =\"8554496\"]\n  17 -> 24 [size =\"8554496\"]\n  17 -> 25 [size =\"8554496\"]\n  18 [size=\"77645824\", alpha=\"0.16\", expect_size=\"38822912\"] \n  18 -> 23 [size =\"38822912\"]\n  18 -> 25 [size =\"38822912\"]\n  19 [size=\"65363968\", alpha=\"0.09\", expect_size=\"32681984\"] \n  19 -> 21 [size =\"32681984\"]\n  19 -> 24 [size =\"32681984\"]\n  19 -> 25 [size =\"32681984\"]\n  20 [size=\"19161088\", alpha=\"0.13\", expect_size=\"9580544\"] \n  20 -> 21 [size =\"9580544\"]\n  20 -> 22 [size =\"9580544\"]\n  21 [size=\"87236608\", alpha=\"0.16\", expect_size=\"43618304\"] \n  21 -> 27 [size =\"43618304\"]\n  21 -> 28 [size =\"43618304\"]\n  21 -> 29 [size =\"43618304\"]\n  22 [size=\"54593536\", alpha=\"0.12\", expect_size=\"27296768\"] \n  22 -> 26 [size =\"27296768\"]\n  22 -> 27 [size =\"27296768\"]\n  22 -> 28 [size =\"27296768\"]\n  22 -> 31 [size =\"27296768\"]\n  23 [size=\"20254720\", alpha=\"0.05\", expect_size=\"10127360\"] \n  23 -> 29 [size =\"10127360\"]\n  23 -> 30 [size =\"10127360\"]\n  24 [size=\"96749568\", alpha=\"0.02\", expect_size=\"48374784\"] \n  24 -> 27 [size =\"48374784\"]\n  24 -> 29 [size =\"48374784\"]\n  25 [size=\"17731584\", alpha=\"0.09\", expect_size=\"8865792\"] \n  25 -> 27 [size =\"8865792\"]\n  25 -> 29 [size =\"8865792\"]\n  25 -> 30 [size =\"8865792\"]\n  26 [size=\"84994048\", alpha=\"0.16\", expect_size=\"42497024\"] \n  26 -> 35 [size =\"42497024\"]\n  27 [size=\"98160640\", alpha=\"0.17\", expect_size=\"49080320\"] \n  27 -> 32 [size =\"49080320\"]\n  27 -> 34 [size =\"49080320\"]\n  27 -> 35 [size =\"49080320\"]\n  28 [size=\"98547712\", alpha=\"0.03\", expect_size=\"49273856\"] \n  29 [size=\"80193536\", alpha=\"0.04\", expect_size=\"40096768\"] \n  30 [size=\"29308928\", alpha=\"0.08\", expect_size=\"14654464\"] \n  30 -> 34 [size =\"14654464\"]\n  30 -> 35 [size =\"14654464\"]\n  31 [size=\"91305984\", alpha=\"0.15\", expect_size=\"45652992\"] \n  31 -> 33 [size =\"45652992\"]\n  31 -> 34 [size =\"45652992\"]\n  31 -> 35 [size =\"45652992\"]\n  32 [size=\"72765440\", alpha=\"0.09\", expect_size=\"36382720\"] \n  32 -> 36 [size =\"36382720\"]\n  32 -> 37 [size =\"36382720\"]\n  32 -> 39 [size =\"36382720\"]\n  33 [size=\"37216256\", alpha=\"0.09\", expect_size=\"18608128\"] \n  33 -> 36 [size =\"18608128\"]\n  33 -> 37 [size =\"18608128\"]\n  33 -> 38 [size =\"18608128\"]\n  33 -> 40 [size =\"18608128\"]\n  34 [size=\"60268544\", alpha=\"0.11\", expect_size=\"30134272\"] \n  34 -> 36 [size =\"30134272\"]\n  34 -> 38 [size =\"30134272\"]\n  35 [size=\"70100992\", alpha=\"0.08\", expect_size=\"35050496\"] \n  35 -> 37 [size =\"35050496\"]\n  35 -> 40 [size =\"35050496\"]\n  36 [size=\"19288064\", alpha=\"0.02\", expect_size=\"9644032\"] \n  37 [size=\"94894080\", alpha=\"0.17\", expect_size=\"47447040\"] \n  38 [size=\"82505728\", alpha=\"0.07\", expect_size=\"41252864\"] \n  39 [size=\"98023424\", alpha=\"0.08\", expect_size=\"49011712\"] \n  40 [size=\"22734848\", alpha=\"0.12\", expect_size=\"11367424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119507627\", alpha=\"0.11\", expect_size=\"35852288\"] \n  1 -> 10 [size =\"35852288\"]\n  1 -> 15 [size =\"35852288\"]\n  1 -> 17 [size =\"35852288\"]\n  2 [size=\"102290773\", alpha=\"0.14\", expect_size=\"30687232\"] \n  2 -> 12 [size =\"30687232\"]\n  2 -> 13 [size =\"30687232\"]\n  2 -> 14 [size =\"30687232\"]\n  2 -> 17 [size =\"30687232\"]\n  3 [size=\"143407787\", alpha=\"0.18\", expect_size=\"43022336\"] \n  3 -> 13 [size =\"43022336\"]\n  3 -> 17 [size =\"43022336\"]\n  4 [size=\"41318400\", alpha=\"0.02\", expect_size=\"12395520\"] \n  4 -> 10 [size =\"12395520\"]\n  4 -> 13 [size =\"12395520\"]\n  5 [size=\"76233387\", alpha=\"0.06\", expect_size=\"22870016\"] \n  5 -> 10 [size =\"22870016\"]\n  5 -> 13 [size =\"22870016\"]\n  6 [size=\"46796800\", alpha=\"0.07\", expect_size=\"14039040\"] \n  6 -> 16 [size =\"14039040\"]\n  7 [size=\"121139200\", alpha=\"0.13\", expect_size=\"36341760\"] \n  7 -> 11 [size =\"36341760\"]\n  7 -> 15 [size =\"36341760\"]\n  7 -> 16 [size =\"36341760\"]\n  8 [size=\"138943147\", alpha=\"0.08\", expect_size=\"41682944\"] \n  8 -> 14 [size =\"41682944\"]\n  8 -> 15 [size =\"41682944\"]\n  8 -> 17 [size =\"41682944\"]\n  9 [size=\"161358507\", alpha=\"0.12\", expect_size=\"48407552\"] \n  9 -> 11 [size =\"48407552\"]\n  9 -> 14 [size =\"48407552\"]\n  9 -> 17 [size =\"48407552\"]\n  10 [size=\"31928320\", alpha=\"0.14\", expect_size=\"9578496\"] \n  10 -> 18 [size =\"9578496\"]\n  10 -> 26 [size =\"9578496\"]\n  11 [size=\"95648427\", alpha=\"0.07\", expect_size=\"28694528\"] \n  11 -> 19 [size =\"28694528\"]\n  11 -> 26 [size =\"28694528\"]\n  12 [size=\"22647467\", alpha=\"0.16\", expect_size=\"6794240\"] \n  12 -> 18 [size =\"6794240\"]\n  12 -> 24 [size =\"6794240\"]\n  13 [size=\"130611200\", alpha=\"0.19\", expect_size=\"39183360\"] \n  13 -> 19 [size =\"39183360\"]\n  13 -> 25 [size =\"39183360\"]\n  13 -> 26 [size =\"39183360\"]\n  14 [size=\"114503680\", alpha=\"0.04\", expect_size=\"34351104\"] \n  14 -> 21 [size =\"34351104\"]\n  14 -> 22 [size =\"34351104\"]\n  14 -> 26 [size =\"34351104\"]\n  15 [size=\"129191253\", alpha=\"0.14\", expect_size=\"38757376\"] \n  15 -> 22 [size =\"38757376\"]\n  16 [size=\"20729173\", alpha=\"0.09\", expect_size=\"6218752\"] \n  16 -> 21 [size =\"6218752\"]\n  16 -> 22 [size =\"6218752\"]\n  17 [size=\"79639893\", alpha=\"0.12\", expect_size=\"23891968\"] \n  17 -> 18 [size =\"23891968\"]\n  17 -> 20 [size =\"23891968\"]\n  17 -> 23 [size =\"23891968\"]\n  17 -> 25 [size =\"23891968\"]\n  18 [size=\"27811840\", alpha=\"0.02\", expect_size=\"8343552\"] \n  18 -> 29 [size =\"8343552\"]\n  18 -> 32 [size =\"8343552\"]\n  18 -> 33 [size =\"8343552\"]\n  19 [size=\"89685333\", alpha=\"0.13\", expect_size=\"26905600\"] \n  19 -> 27 [size =\"26905600\"]\n  19 -> 32 [size =\"26905600\"]\n  20 [size=\"29890560\", alpha=\"0.10\", expect_size=\"8967168\"] \n  20 -> 28 [size =\"8967168\"]\n  20 -> 33 [size =\"8967168\"]\n  21 [size=\"139144533\", alpha=\"0.19\", expect_size=\"41743360\"] \n  21 -> 27 [size =\"41743360\"]\n  21 -> 28 [size =\"41743360\"]\n  21 -> 33 [size =\"41743360\"]\n  22 [size=\"35703467\", alpha=\"0.20\", expect_size=\"10711040\"] \n  22 -> 28 [size =\"10711040\"]\n  22 -> 29 [size =\"10711040\"]\n  22 -> 32 [size =\"10711040\"]\n  22 -> 33 [size =\"10711040\"]\n  23 [size=\"157624320\", alpha=\"0.16\", expect_size=\"47287296\"] \n  23 -> 28 [size =\"47287296\"]\n  24 [size=\"148677973\", alpha=\"0.15\", expect_size=\"44603392\"] \n  24 -> 27 [size =\"44603392\"]\n  24 -> 28 [size =\"44603392\"]\n  25 [size=\"25289387\", alpha=\"0.02\", expect_size=\"7586816\"] \n  26 [size=\"137304747\", alpha=\"0.12\", expect_size=\"41191424\"] \n  26 -> 30 [size =\"41191424\"]\n  26 -> 31 [size =\"41191424\"]\n  26 -> 33 [size =\"41191424\"]\n  27 [size=\"47585280\", alpha=\"0.16\", expect_size=\"14275584\"] \n  27 -> 34 [size =\"14275584\"]\n  27 -> 38 [size =\"14275584\"]\n  28 [size=\"138540373\", alpha=\"0.15\", expect_size=\"41562112\"] \n  28 -> 36 [size =\"41562112\"]\n  28 -> 39 [size =\"41562112\"]\n  28 -> 40 [size =\"41562112\"]\n  29 [size=\"153128960\", alpha=\"0.13\", expect_size=\"45938688\"] \n  29 -> 38 [size =\"45938688\"]\n  29 -> 40 [size =\"45938688\"]\n  30 [size=\"101826560\", alpha=\"0.12\", expect_size=\"30547968\"] \n  30 -> 37 [size =\"30547968\"]\n  31 [size=\"22773760\", alpha=\"0.01\", expect_size=\"6832128\"] \n  31 -> 35 [size =\"6832128\"]\n  31 -> 36 [size =\"6832128\"]\n  31 -> 37 [size =\"6832128\"]\n  31 -> 40 [size =\"6832128\"]\n  32 [size=\"18001920\", alpha=\"0.11\", expect_size=\"5400576\"] \n  32 -> 34 [size =\"5400576\"]\n  32 -> 36 [size =\"5400576\"]\n  32 -> 37 [size =\"5400576\"]\n  32 -> 38 [size =\"5400576\"]\n  32 -> 39 [size =\"5400576\"]\n  32 -> 40 [size =\"5400576\"]\n  33 [size=\"172328960\", alpha=\"0.15\", expect_size=\"51698688\"] \n  33 -> 34 [size =\"51698688\"]\n  33 -> 35 [size =\"51698688\"]\n  33 -> 37 [size =\"51698688\"]\n  33 -> 39 [size =\"51698688\"]\n  34 [size=\"139830613\", alpha=\"0.12\", expect_size=\"41949184\"] \n  35 [size=\"101632000\", alpha=\"0.02\", expect_size=\"30489600\"] \n  36 [size=\"116497067\", alpha=\"0.13\", expect_size=\"34949120\"] \n  37 [size=\"56456533\", alpha=\"0.13\", expect_size=\"16936960\"] \n  38 [size=\"25183573\", alpha=\"0.13\", expect_size=\"7555072\"] \n  39 [size=\"144138240\", alpha=\"0.03\", expect_size=\"43241472\"] \n  40 [size=\"85350400\", alpha=\"0.14\", expect_size=\"25605120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31270912\", alpha=\"0.02\", expect_size=\"15635456\"] \n  1 -> 18 [size =\"15635456\"]\n  1 -> 20 [size =\"15635456\"]\n  1 -> 21 [size =\"15635456\"]\n  1 -> 25 [size =\"15635456\"]\n  1 -> 26 [size =\"15635456\"]\n  1 -> 27 [size =\"15635456\"]\n  1 -> 28 [size =\"15635456\"]\n  1 -> 29 [size =\"15635456\"]\n  2 [size=\"45987840\", alpha=\"0.13\", expect_size=\"22993920\"] \n  2 -> 18 [size =\"22993920\"]\n  2 -> 19 [size =\"22993920\"]\n  2 -> 20 [size =\"22993920\"]\n  2 -> 27 [size =\"22993920\"]\n  2 -> 28 [size =\"22993920\"]\n  2 -> 29 [size =\"22993920\"]\n  3 [size=\"68044800\", alpha=\"0.13\", expect_size=\"34022400\"] \n  3 -> 19 [size =\"34022400\"]\n  3 -> 19 [size =\"34022400\"]\n  3 -> 20 [size =\"34022400\"]\n  3 -> 21 [size =\"34022400\"]\n  3 -> 22 [size =\"34022400\"]\n  3 -> 26 [size =\"34022400\"]\n  3 -> 27 [size =\"34022400\"]\n  3 -> 28 [size =\"34022400\"]\n  3 -> 29 [size =\"34022400\"]\n  4 [size=\"102973440\", alpha=\"0.03\", expect_size=\"51486720\"] \n  4 -> 17 [size =\"51486720\"]\n  4 -> 18 [size =\"51486720\"]\n  4 -> 19 [size =\"51486720\"]\n  4 -> 20 [size =\"51486720\"]\n  4 -> 21 [size =\"51486720\"]\n  4 -> 25 [size =\"51486720\"]\n  4 -> 26 [size =\"51486720\"]\n  4 -> 27 [size =\"51486720\"]\n  4 -> 28 [size =\"51486720\"]\n  5 [size=\"76843008\", alpha=\"0.18\", expect_size=\"38421504\"] \n  5 -> 17 [size =\"38421504\"]\n  5 -> 18 [size =\"38421504\"]\n  5 -> 20 [size =\"38421504\"]\n  5 -> 21 [size =\"38421504\"]\n  5 -> 24 [size =\"38421504\"]\n  5 -> 25 [size =\"38421504\"]\n  5 -> 26 [size =\"38421504\"]\n  5 -> 27 [size =\"38421504\"]\n  5 -> 29 [size =\"38421504\"]\n  6 [size=\"95141888\", alpha=\"0.17\", expect_size=\"47570944\"] \n  6 -> 17 [size =\"47570944\"]\n  6 -> 18 [size =\"47570944\"]\n  6 -> 19 [size =\"47570944\"]\n  6 -> 20 [size =\"47570944\"]\n  6 -> 22 [size =\"47570944\"]\n  6 -> 23 [size =\"47570944\"]\n  6 -> 25 [size =\"47570944\"]\n  6 -> 26 [size =\"47570944\"]\n  6 -> 27 [size =\"47570944\"]\n  6 -> 28 [size =\"47570944\"]\n  7 [size=\"42829824\", alpha=\"0.18\", expect_size=\"21414912\"] \n  7 -> 17 [size =\"21414912\"]\n  7 -> 18 [size =\"21414912\"]\n  7 -> 26 [size =\"21414912\"]\n  7 -> 29 [size =\"21414912\"]\n  8 [size=\"69773312\", alpha=\"0.14\", expect_size=\"34886656\"] \n  8 -> 17 [size =\"34886656\"]\n  8 -> 19 [size =\"34886656\"]\n  8 -> 20 [size =\"34886656\"]\n  8 -> 25 [size =\"34886656\"]\n  8 -> 26 [size =\"34886656\"]\n  8 -> 29 [size =\"34886656\"]\n  9 [size=\"51062784\", alpha=\"0.01\", expect_size=\"25531392\"] \n  9 -> 17 [size =\"25531392\"]\n  9 -> 19 [size =\"25531392\"]\n  9 -> 20 [size =\"25531392\"]\n  9 -> 26 [size =\"25531392\"]\n  9 -> 28 [size =\"25531392\"]\n  9 -> 29 [size =\"25531392\"]\n  10 [size=\"42801152\", alpha=\"0.11\", expect_size=\"21400576\"] \n  10 -> 17 [size =\"21400576\"]\n  10 -> 18 [size =\"21400576\"]\n  10 -> 19 [size =\"21400576\"]\n  10 -> 21 [size =\"21400576\"]\n  10 -> 24 [size =\"21400576\"]\n  10 -> 25 [size =\"21400576\"]\n  10 -> 26 [size =\"21400576\"]\n  10 -> 27 [size =\"21400576\"]\n  10 -> 28 [size =\"21400576\"]\n  10 -> 29 [size =\"21400576\"]\n  11 [size=\"76156928\", alpha=\"0.17\", expect_size=\"38078464\"] \n  11 -> 17 [size =\"38078464\"]\n  11 -> 19 [size =\"38078464\"]\n  11 -> 19 [size =\"38078464\"]\n  11 -> 21 [size =\"38078464\"]\n  11 -> 26 [size =\"38078464\"]\n  11 -> 27 [size =\"38078464\"]\n  11 -> 28 [size =\"38078464\"]\n  11 -> 29 [size =\"38078464\"]\n  12 [size=\"85313536\", alpha=\"0.20\", expect_size=\"42656768\"] \n  12 -> 17 [size =\"42656768\"]\n  12 -> 19 [size =\"42656768\"]\n  12 -> 20 [size =\"42656768\"]\n  12 -> 21 [size =\"42656768\"]\n  12 -> 22 [size =\"42656768\"]\n  12 -> 24 [size =\"42656768\"]\n  12 -> 25 [size =\"42656768\"]\n  12 -> 26 [size =\"42656768\"]\n  12 -> 27 [size =\"42656768\"]\n  12 -> 29 [size =\"42656768\"]\n  13 [size=\"53045248\", alpha=\"0.14\", expect_size=\"26522624\"] \n  13 -> 17 [size =\"26522624\"]\n  13 -> 19 [size =\"26522624\"]\n  13 -> 20 [size =\"26522624\"]\n  13 -> 21 [size =\"26522624\"]\n  13 -> 22 [size =\"26522624\"]\n  13 -> 24 [size =\"26522624\"]\n  13 -> 25 [size =\"26522624\"]\n  13 -> 26 [size =\"26522624\"]\n  13 -> 27 [size =\"26522624\"]\n  13 -> 29 [size =\"26522624\"]\n  14 [size=\"18477056\", alpha=\"0.04\", expect_size=\"9238528\"] \n  14 -> 17 [size =\"9238528\"]\n  14 -> 19 [size =\"9238528\"]\n  14 -> 21 [size =\"9238528\"]\n  14 -> 22 [size =\"9238528\"]\n  14 -> 23 [size =\"9238528\"]\n  14 -> 25 [size =\"9238528\"]\n  14 -> 26 [size =\"9238528\"]\n  14 -> 27 [size =\"9238528\"]\n  14 -> 29 [size =\"9238528\"]\n  15 [size=\"32223232\", alpha=\"0.13\", expect_size=\"16111616\"] \n  15 -> 17 [size =\"16111616\"]\n  15 -> 18 [size =\"16111616\"]\n  15 -> 22 [size =\"16111616\"]\n  15 -> 27 [size =\"16111616\"]\n  15 -> 28 [size =\"16111616\"]\n  15 -> 29 [size =\"16111616\"]\n  16 [size=\"24184832\", alpha=\"0.16\", expect_size=\"12092416\"] \n  16 -> 17 [size =\"12092416\"]\n  16 -> 19 [size =\"12092416\"]\n  16 -> 20 [size =\"12092416\"]\n  16 -> 21 [size =\"12092416\"]\n  16 -> 22 [size =\"12092416\"]\n  16 -> 25 [size =\"12092416\"]\n  16 -> 29 [size =\"12092416\"]\n  17 [size=\"104030208\", alpha=\"0.02\", expect_size=\"52015104\"] \n  17 -> 30 [size =\"52015104\"]\n  17 -> 33 [size =\"52015104\"]\n  17 -> 33 [size =\"52015104\"]\n  18 [size=\"96364544\", alpha=\"0.15\", expect_size=\"48182272\"] \n  18 -> 30 [size =\"48182272\"]\n  18 -> 31 [size =\"48182272\"]\n  19 [size=\"69206016\", alpha=\"0.17\", expect_size=\"34603008\"] \n  19 -> 30 [size =\"34603008\"]\n  19 -> 31 [size =\"34603008\"]\n  19 -> 32 [size =\"34603008\"]\n  19 -> 40 [size =\"34603008\"]\n  20 [size=\"75470848\", alpha=\"0.18\", expect_size=\"37735424\"] \n  20 -> 32 [size =\"37735424\"]\n  20 -> 37 [size =\"37735424\"]\n  21 [size=\"35241984\", alpha=\"0.03\", expect_size=\"17620992\"] \n  21 -> 30 [size =\"17620992\"]\n  21 -> 32 [size =\"17620992\"]\n  21 -> 36 [size =\"17620992\"]\n  21 -> 37 [size =\"17620992\"]\n  22 [size=\"21252096\", alpha=\"0.16\", expect_size=\"10626048\"] \n  22 -> 30 [size =\"10626048\"]\n  22 -> 35 [size =\"10626048\"]\n  23 [size=\"19685376\", alpha=\"0.01\", expect_size=\"9842688\"] \n  23 -> 30 [size =\"9842688\"]\n  23 -> 31 [size =\"9842688\"]\n  23 -> 32 [size =\"9842688\"]\n  23 -> 33 [size =\"9842688\"]\n  24 [size=\"85327872\", alpha=\"0.06\", expect_size=\"42663936\"] \n  24 -> 30 [size =\"42663936\"]\n  24 -> 33 [size =\"42663936\"]\n  24 -> 38 [size =\"42663936\"]\n  25 [size=\"104665088\", alpha=\"0.05\", expect_size=\"52332544\"] \n  25 -> 30 [size =\"52332544\"]\n  25 -> 32 [size =\"52332544\"]\n  25 -> 33 [size =\"52332544\"]\n  25 -> 35 [size =\"52332544\"]\n  25 -> 37 [size =\"52332544\"]\n  26 [size=\"73644032\", alpha=\"0.01\", expect_size=\"36822016\"] \n  26 -> 30 [size =\"36822016\"]\n  26 -> 32 [size =\"36822016\"]\n  26 -> 33 [size =\"36822016\"]\n  26 -> 35 [size =\"36822016\"]\n  26 -> 37 [size =\"36822016\"]\n  26 -> 38 [size =\"36822016\"]\n  27 [size=\"56393728\", alpha=\"0.05\", expect_size=\"28196864\"] \n  27 -> 30 [size =\"28196864\"]\n  27 -> 32 [size =\"28196864\"]\n  27 -> 33 [size =\"28196864\"]\n  27 -> 34 [size =\"28196864\"]\n  27 -> 37 [size =\"28196864\"]\n  27 -> 39 [size =\"28196864\"]\n  28 [size=\"66928640\", alpha=\"0.01\", expect_size=\"33464320\"] \n  28 -> 30 [size =\"33464320\"]\n  28 -> 32 [size =\"33464320\"]\n  28 -> 33 [size =\"33464320\"]\n  28 -> 37 [size =\"33464320\"]\n  28 -> 39 [size =\"33464320\"]\n  28 -> 39 [size =\"33464320\"]\n  29 [size=\"44085248\", alpha=\"0.06\", expect_size=\"22042624\"] \n  29 -> 30 [size =\"22042624\"]\n  29 -> 32 [size =\"22042624\"]\n  29 -> 33 [size =\"22042624\"]\n  29 -> 37 [size =\"22042624\"]\n  30 [size=\"30613504\", alpha=\"0.17\", expect_size=\"15306752\"] \n  31 [size=\"21557248\", alpha=\"0.03\", expect_size=\"10778624\"] \n  32 [size=\"37707776\", alpha=\"0.04\", expect_size=\"18853888\"] \n  33 [size=\"20193280\", alpha=\"0.14\", expect_size=\"10096640\"] \n  34 [size=\"26576896\", alpha=\"0.06\", expect_size=\"13288448\"] \n  35 [size=\"54970368\", alpha=\"0.03\", expect_size=\"27485184\"] \n  36 [size=\"77365248\", alpha=\"0.03\", expect_size=\"38682624\"] \n  37 [size=\"84041728\", alpha=\"0.02\", expect_size=\"42020864\"] \n  38 [size=\"12978176\", alpha=\"0.19\", expect_size=\"6489088\"] \n  39 [size=\"17831936\", alpha=\"0.09\", expect_size=\"8915968\"] \n  40 [size=\"44812288\", alpha=\"0.13\", expect_size=\"22406144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42813440\", alpha=\"0.15\", expect_size=\"12844032\"] \n  1 -> 2 [size =\"12844032\"]\n  2 [size=\"86265173\", alpha=\"0.17\", expect_size=\"25879552\"] \n  2 -> 3 [size =\"25879552\"]\n  3 [size=\"25623893\", alpha=\"0.06\", expect_size=\"7687168\"] \n  3 -> 4 [size =\"7687168\"]\n  4 [size=\"147319467\", alpha=\"0.16\", expect_size=\"44195840\"] \n  4 -> 5 [size =\"44195840\"]\n  5 [size=\"137758720\", alpha=\"0.19\", expect_size=\"41327616\"] \n  5 -> 6 [size =\"41327616\"]\n  6 [size=\"70557013\", alpha=\"0.01\", expect_size=\"21167104\"] \n  6 -> 7 [size =\"21167104\"]\n  7 [size=\"39577600\", alpha=\"0.15\", expect_size=\"11873280\"] \n  7 -> 8 [size =\"11873280\"]\n  8 [size=\"126508373\", alpha=\"0.05\", expect_size=\"37952512\"] \n  8 -> 9 [size =\"37952512\"]\n  9 [size=\"127576747\", alpha=\"0.18\", expect_size=\"38273024\"] \n  9 -> 10 [size =\"38273024\"]\n  10 [size=\"55224320\", alpha=\"0.05\", expect_size=\"16567296\"] \n  10 -> 11 [size =\"16567296\"]\n  11 [size=\"24197120\", alpha=\"0.17\", expect_size=\"7259136\"] \n  11 -> 12 [size =\"7259136\"]\n  12 [size=\"142612480\", alpha=\"0.11\", expect_size=\"42783744\"] \n  12 -> 13 [size =\"42783744\"]\n  13 [size=\"122668373\", alpha=\"0.02\", expect_size=\"36800512\"] \n  13 -> 14 [size =\"36800512\"]\n  14 [size=\"170915840\", alpha=\"0.02\", expect_size=\"51274752\"] \n  14 -> 15 [size =\"51274752\"]\n  15 [size=\"137301333\", alpha=\"0.06\", expect_size=\"41190400\"] \n  15 -> 16 [size =\"41190400\"]\n  16 [size=\"126986240\", alpha=\"0.11\", expect_size=\"38095872\"] \n  16 -> 17 [size =\"38095872\"]\n  17 [size=\"135082667\", alpha=\"0.02\", expect_size=\"40524800\"] \n  17 -> 18 [size =\"40524800\"]\n  18 [size=\"92419413\", alpha=\"0.12\", expect_size=\"27725824\"] \n  18 -> 19 [size =\"27725824\"]\n  19 [size=\"129723733\", alpha=\"0.18\", expect_size=\"38917120\"] \n  19 -> 20 [size =\"38917120\"]\n  20 [size=\"112261120\", alpha=\"0.02\", expect_size=\"33678336\"] \n  20 -> 21 [size =\"33678336\"]\n  21 [size=\"153067520\", alpha=\"0.08\", expect_size=\"45920256\"] \n  21 -> 22 [size =\"45920256\"]\n  22 [size=\"130645333\", alpha=\"0.04\", expect_size=\"39193600\"] \n  22 -> 23 [size =\"39193600\"]\n  23 [size=\"62091947\", alpha=\"0.00\", expect_size=\"18627584\"] \n  23 -> 24 [size =\"18627584\"]\n  24 [size=\"77117440\", alpha=\"0.13\", expect_size=\"23135232\"] \n  24 -> 25 [size =\"23135232\"]\n  25 [size=\"91374933\", alpha=\"0.01\", expect_size=\"27412480\"] \n  25 -> 26 [size =\"27412480\"]\n  26 [size=\"135222613\", alpha=\"0.16\", expect_size=\"40566784\"] \n  26 -> 27 [size =\"40566784\"]\n  27 [size=\"66532693\", alpha=\"0.14\", expect_size=\"19959808\"] \n  27 -> 28 [size =\"19959808\"]\n  28 [size=\"85657600\", alpha=\"0.06\", expect_size=\"25697280\"] \n  28 -> 29 [size =\"25697280\"]\n  29 [size=\"25173333\", alpha=\"0.12\", expect_size=\"7552000\"] \n  29 -> 30 [size =\"7552000\"]\n  30 [size=\"167058773\", alpha=\"0.02\", expect_size=\"50117632\"] \n  30 -> 31 [size =\"50117632\"]\n  31 [size=\"21674667\", alpha=\"0.14\", expect_size=\"6502400\"] \n  31 -> 32 [size =\"6502400\"]\n  32 [size=\"86217387\", alpha=\"0.01\", expect_size=\"25865216\"] \n  32 -> 33 [size =\"25865216\"]\n  33 [size=\"114909867\", alpha=\"0.01\", expect_size=\"34472960\"] \n  33 -> 34 [size =\"34472960\"]\n  34 [size=\"115899733\", alpha=\"0.02\", expect_size=\"34769920\"] \n  34 -> 35 [size =\"34769920\"]\n  35 [size=\"61743787\", alpha=\"0.17\", expect_size=\"18523136\"] \n  35 -> 36 [size =\"18523136\"]\n  36 [size=\"72727893\", alpha=\"0.06\", expect_size=\"21818368\"] \n  36 -> 37 [size =\"21818368\"]\n  37 [size=\"44646400\", alpha=\"0.11\", expect_size=\"13393920\"] \n  37 -> 38 [size =\"13393920\"]\n  38 [size=\"156887040\", alpha=\"0.04\", expect_size=\"47066112\"] \n  38 -> 39 [size =\"47066112\"]\n  39 [size=\"46626133\", alpha=\"0.13\", expect_size=\"13987840\"] \n  39 -> 40 [size =\"13987840\"]\n  40 [size=\"138543787\", alpha=\"0.13\", expect_size=\"41563136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39366656\", alpha=\"0.19\", expect_size=\"19683328\"] \n  1 -> 7 [size =\"19683328\"]\n  1 -> 8 [size =\"19683328\"]\n  1 -> 9 [size =\"19683328\"]\n  1 -> 10 [size =\"19683328\"]\n  1 -> 11 [size =\"19683328\"]\n  2 [size=\"80644096\", alpha=\"0.12\", expect_size=\"40322048\"] \n  2 -> 6 [size =\"40322048\"]\n  2 -> 7 [size =\"40322048\"]\n  2 -> 8 [size =\"40322048\"]\n  2 -> 10 [size =\"40322048\"]\n  3 [size=\"77369344\", alpha=\"0.01\", expect_size=\"38684672\"] \n  3 -> 7 [size =\"38684672\"]\n  3 -> 7 [size =\"38684672\"]\n  3 -> 8 [size =\"38684672\"]\n  3 -> 10 [size =\"38684672\"]\n  3 -> 11 [size =\"38684672\"]\n  4 [size=\"75026432\", alpha=\"0.03\", expect_size=\"37513216\"] \n  4 -> 7 [size =\"37513216\"]\n  4 -> 8 [size =\"37513216\"]\n  4 -> 9 [size =\"37513216\"]\n  4 -> 10 [size =\"37513216\"]\n  4 -> 11 [size =\"37513216\"]\n  5 [size=\"84367360\", alpha=\"0.01\", expect_size=\"42183680\"] \n  5 -> 6 [size =\"42183680\"]\n  5 -> 9 [size =\"42183680\"]\n  5 -> 9 [size =\"42183680\"]\n  5 -> 10 [size =\"42183680\"]\n  5 -> 11 [size =\"42183680\"]\n  6 [size=\"19310592\", alpha=\"0.01\", expect_size=\"9655296\"] \n  6 -> 14 [size =\"9655296\"]\n  6 -> 15 [size =\"9655296\"]\n  7 [size=\"62314496\", alpha=\"0.14\", expect_size=\"31157248\"] \n  7 -> 14 [size =\"31157248\"]\n  7 -> 17 [size =\"31157248\"]\n  8 [size=\"53176320\", alpha=\"0.06\", expect_size=\"26588160\"] \n  8 -> 12 [size =\"26588160\"]\n  8 -> 14 [size =\"26588160\"]\n  8 -> 15 [size =\"26588160\"]\n  8 -> 17 [size =\"26588160\"]\n  9 [size=\"88813568\", alpha=\"0.17\", expect_size=\"44406784\"] \n  9 -> 12 [size =\"44406784\"]\n  9 -> 13 [size =\"44406784\"]\n  9 -> 16 [size =\"44406784\"]\n  10 [size=\"88481792\", alpha=\"0.16\", expect_size=\"44240896\"] \n  10 -> 15 [size =\"44240896\"]\n  11 [size=\"23844864\", alpha=\"0.14\", expect_size=\"11922432\"] \n  11 -> 13 [size =\"11922432\"]\n  12 [size=\"18393088\", alpha=\"0.19\", expect_size=\"9196544\"] \n  12 -> 21 [size =\"9196544\"]\n  12 -> 22 [size =\"9196544\"]\n  12 -> 23 [size =\"9196544\"]\n  13 [size=\"72882176\", alpha=\"0.11\", expect_size=\"36441088\"] \n  13 -> 18 [size =\"36441088\"]\n  13 -> 19 [size =\"36441088\"]\n  13 -> 20 [size =\"36441088\"]\n  13 -> 21 [size =\"36441088\"]\n  13 -> 22 [size =\"36441088\"]\n  14 [size=\"75900928\", alpha=\"0.10\", expect_size=\"37950464\"] \n  14 -> 21 [size =\"37950464\"]\n  14 -> 22 [size =\"37950464\"]\n  14 -> 23 [size =\"37950464\"]\n  15 [size=\"90826752\", alpha=\"0.03\", expect_size=\"45413376\"] \n  15 -> 18 [size =\"45413376\"]\n  16 [size=\"95102976\", alpha=\"0.10\", expect_size=\"47551488\"] \n  16 -> 18 [size =\"47551488\"]\n  16 -> 20 [size =\"47551488\"]\n  16 -> 22 [size =\"47551488\"]\n  16 -> 23 [size =\"47551488\"]\n  17 [size=\"97847296\", alpha=\"0.11\", expect_size=\"48923648\"] \n  17 -> 18 [size =\"48923648\"]\n  17 -> 22 [size =\"48923648\"]\n  18 [size=\"68638720\", alpha=\"0.17\", expect_size=\"34319360\"] \n  18 -> 26 [size =\"34319360\"]\n  18 -> 27 [size =\"34319360\"]\n  18 -> 29 [size =\"34319360\"]\n  19 [size=\"95088640\", alpha=\"0.16\", expect_size=\"47544320\"] \n  19 -> 26 [size =\"47544320\"]\n  19 -> 29 [size =\"47544320\"]\n  19 -> 29 [size =\"47544320\"]\n  20 [size=\"79841280\", alpha=\"0.05\", expect_size=\"39920640\"] \n  20 -> 26 [size =\"39920640\"]\n  20 -> 28 [size =\"39920640\"]\n  20 -> 29 [size =\"39920640\"]\n  21 [size=\"62070784\", alpha=\"0.00\", expect_size=\"31035392\"] \n  21 -> 24 [size =\"31035392\"]\n  21 -> 25 [size =\"31035392\"]\n  21 -> 26 [size =\"31035392\"]\n  21 -> 27 [size =\"31035392\"]\n  21 -> 28 [size =\"31035392\"]\n  22 [size=\"32192512\", alpha=\"0.11\", expect_size=\"16096256\"] \n  22 -> 29 [size =\"16096256\"]\n  23 [size=\"27926528\", alpha=\"0.15\", expect_size=\"13963264\"] \n  23 -> 26 [size =\"13963264\"]\n  23 -> 28 [size =\"13963264\"]\n  23 -> 29 [size =\"13963264\"]\n  24 [size=\"80322560\", alpha=\"0.13\", expect_size=\"40161280\"] \n  24 -> 32 [size =\"40161280\"]\n  24 -> 33 [size =\"40161280\"]\n  25 [size=\"34400256\", alpha=\"0.07\", expect_size=\"17200128\"] \n  25 -> 32 [size =\"17200128\"]\n  25 -> 34 [size =\"17200128\"]\n  26 [size=\"46929920\", alpha=\"0.02\", expect_size=\"23464960\"] \n  27 [size=\"95733760\", alpha=\"0.09\", expect_size=\"47866880\"] \n  27 -> 32 [size =\"47866880\"]\n  27 -> 33 [size =\"47866880\"]\n  28 [size=\"52924416\", alpha=\"0.05\", expect_size=\"26462208\"] \n  28 -> 31 [size =\"26462208\"]\n  28 -> 34 [size =\"26462208\"]\n  28 -> 35 [size =\"26462208\"]\n  29 [size=\"38047744\", alpha=\"0.17\", expect_size=\"19023872\"] \n  29 -> 30 [size =\"19023872\"]\n  29 -> 32 [size =\"19023872\"]\n  29 -> 35 [size =\"19023872\"]\n  30 [size=\"18579456\", alpha=\"0.05\", expect_size=\"9289728\"] \n  30 -> 36 [size =\"9289728\"]\n  30 -> 40 [size =\"9289728\"]\n  31 [size=\"42575872\", alpha=\"0.17\", expect_size=\"21287936\"] \n  31 -> 37 [size =\"21287936\"]\n  31 -> 40 [size =\"21287936\"]\n  32 [size=\"44546048\", alpha=\"0.10\", expect_size=\"22273024\"] \n  32 -> 40 [size =\"22273024\"]\n  33 [size=\"94648320\", alpha=\"0.17\", expect_size=\"47324160\"] \n  33 -> 36 [size =\"47324160\"]\n  33 -> 37 [size =\"47324160\"]\n  33 -> 38 [size =\"47324160\"]\n  33 -> 39 [size =\"47324160\"]\n  34 [size=\"71026688\", alpha=\"0.17\", expect_size=\"35513344\"] \n  34 -> 36 [size =\"35513344\"]\n  34 -> 38 [size =\"35513344\"]\n  34 -> 40 [size =\"35513344\"]\n  35 [size=\"38219776\", alpha=\"0.14\", expect_size=\"19109888\"] \n  35 -> 36 [size =\"19109888\"]\n  35 -> 38 [size =\"19109888\"]\n  35 -> 39 [size =\"19109888\"]\n  35 -> 40 [size =\"19109888\"]\n  36 [size=\"70113280\", alpha=\"0.10\", expect_size=\"35056640\"] \n  37 [size=\"81160192\", alpha=\"0.04\", expect_size=\"40580096\"] \n  38 [size=\"28819456\", alpha=\"0.10\", expect_size=\"14409728\"] \n  39 [size=\"50153472\", alpha=\"0.14\", expect_size=\"25076736\"] \n  40 [size=\"34750464\", alpha=\"0.13\", expect_size=\"17375232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61878272\", alpha=\"0.04\", expect_size=\"30939136\"] \n  1 -> 2 [size =\"30939136\"]\n  2 [size=\"51034112\", alpha=\"0.16\", expect_size=\"25517056\"] \n  2 -> 3 [size =\"25517056\"]\n  3 [size=\"47034368\", alpha=\"0.06\", expect_size=\"23517184\"] \n  3 -> 4 [size =\"23517184\"]\n  4 [size=\"99188736\", alpha=\"0.12\", expect_size=\"49594368\"] \n  4 -> 5 [size =\"49594368\"]\n  5 [size=\"67471360\", alpha=\"0.05\", expect_size=\"33735680\"] \n  5 -> 6 [size =\"33735680\"]\n  6 [size=\"20379648\", alpha=\"0.04\", expect_size=\"10189824\"] \n  6 -> 7 [size =\"10189824\"]\n  7 [size=\"29577216\", alpha=\"0.13\", expect_size=\"14788608\"] \n  7 -> 8 [size =\"14788608\"]\n  8 [size=\"32616448\", alpha=\"0.02\", expect_size=\"16308224\"] \n  8 -> 9 [size =\"16308224\"]\n  9 [size=\"51533824\", alpha=\"0.18\", expect_size=\"25766912\"] \n  9 -> 10 [size =\"25766912\"]\n  10 [size=\"62980096\", alpha=\"0.03\", expect_size=\"31490048\"] \n  10 -> 11 [size =\"31490048\"]\n  11 [size=\"26286080\", alpha=\"0.02\", expect_size=\"13143040\"] \n  11 -> 12 [size =\"13143040\"]\n  12 [size=\"46592000\", alpha=\"0.18\", expect_size=\"23296000\"] \n  12 -> 13 [size =\"23296000\"]\n  13 [size=\"28604416\", alpha=\"0.06\", expect_size=\"14302208\"] \n  13 -> 14 [size =\"14302208\"]\n  14 [size=\"57755648\", alpha=\"0.05\", expect_size=\"28877824\"] \n  14 -> 15 [size =\"28877824\"]\n  15 [size=\"18905088\", alpha=\"0.05\", expect_size=\"9452544\"] \n  15 -> 16 [size =\"9452544\"]\n  16 [size=\"40912896\", alpha=\"0.05\", expect_size=\"20456448\"] \n  16 -> 17 [size =\"20456448\"]\n  17 [size=\"60127232\", alpha=\"0.19\", expect_size=\"30063616\"] \n  17 -> 18 [size =\"30063616\"]\n  18 [size=\"27367424\", alpha=\"0.17\", expect_size=\"13683712\"] \n  18 -> 19 [size =\"13683712\"]\n  19 [size=\"35678208\", alpha=\"0.03\", expect_size=\"17839104\"] \n  19 -> 20 [size =\"17839104\"]\n  20 [size=\"26781696\", alpha=\"0.08\", expect_size=\"13390848\"] \n  20 -> 21 [size =\"13390848\"]\n  21 [size=\"38610944\", alpha=\"0.03\", expect_size=\"19305472\"] \n  21 -> 22 [size =\"19305472\"]\n  22 [size=\"49369088\", alpha=\"0.07\", expect_size=\"24684544\"] \n  22 -> 23 [size =\"24684544\"]\n  23 [size=\"42065920\", alpha=\"0.19\", expect_size=\"21032960\"] \n  23 -> 24 [size =\"21032960\"]\n  24 [size=\"69152768\", alpha=\"0.10\", expect_size=\"34576384\"] \n  24 -> 25 [size =\"34576384\"]\n  25 [size=\"94441472\", alpha=\"0.13\", expect_size=\"47220736\"] \n  25 -> 26 [size =\"47220736\"]\n  26 [size=\"24551424\", alpha=\"0.17\", expect_size=\"12275712\"] \n  26 -> 27 [size =\"12275712\"]\n  27 [size=\"50196480\", alpha=\"0.06\", expect_size=\"25098240\"] \n  27 -> 28 [size =\"25098240\"]\n  28 [size=\"44201984\", alpha=\"0.20\", expect_size=\"22100992\"] \n  28 -> 29 [size =\"22100992\"]\n  29 [size=\"30068736\", alpha=\"0.02\", expect_size=\"15034368\"] \n  29 -> 30 [size =\"15034368\"]\n  30 [size=\"44455936\", alpha=\"0.15\", expect_size=\"22227968\"] \n  30 -> 31 [size =\"22227968\"]\n  31 [size=\"80658432\", alpha=\"0.12\", expect_size=\"40329216\"] \n  31 -> 32 [size =\"40329216\"]\n  32 [size=\"95694848\", alpha=\"0.17\", expect_size=\"47847424\"] \n  32 -> 33 [size =\"47847424\"]\n  33 [size=\"35745792\", alpha=\"0.05\", expect_size=\"17872896\"] \n  33 -> 34 [size =\"17872896\"]\n  34 [size=\"31733760\", alpha=\"0.03\", expect_size=\"15866880\"] \n  34 -> 35 [size =\"15866880\"]\n  35 [size=\"77987840\", alpha=\"0.03\", expect_size=\"38993920\"] \n  35 -> 36 [size =\"38993920\"]\n  36 [size=\"42754048\", alpha=\"0.10\", expect_size=\"21377024\"] \n  36 -> 37 [size =\"21377024\"]\n  37 [size=\"30300160\", alpha=\"0.07\", expect_size=\"15150080\"] \n  37 -> 38 [size =\"15150080\"]\n  38 [size=\"59715584\", alpha=\"0.07\", expect_size=\"29857792\"] \n  38 -> 39 [size =\"29857792\"]\n  39 [size=\"58761216\", alpha=\"0.13\", expect_size=\"29380608\"] \n  39 -> 40 [size =\"29380608\"]\n  40 [size=\"68487168\", alpha=\"0.02\", expect_size=\"34243584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138540373\", alpha=\"0.05\", expect_size=\"41562112\"] \n  1 -> 33 [size =\"41562112\"]\n  1 -> 35 [size =\"41562112\"]\n  1 -> 38 [size =\"41562112\"]\n  1 -> 39 [size =\"41562112\"]\n  1 -> 40 [size =\"41562112\"]\n  2 [size=\"73755307\", alpha=\"0.10\", expect_size=\"22126592\"] \n  2 -> 33 [size =\"22126592\"]\n  2 -> 34 [size =\"22126592\"]\n  2 -> 35 [size =\"22126592\"]\n  2 -> 39 [size =\"22126592\"]\n  3 [size=\"32457387\", alpha=\"0.16\", expect_size=\"9737216\"] \n  3 -> 33 [size =\"9737216\"]\n  3 -> 34 [size =\"9737216\"]\n  3 -> 35 [size =\"9737216\"]\n  3 -> 36 [size =\"9737216\"]\n  3 -> 37 [size =\"9737216\"]\n  3 -> 40 [size =\"9737216\"]\n  4 [size=\"83698347\", alpha=\"0.08\", expect_size=\"25109504\"] \n  4 -> 33 [size =\"25109504\"]\n  4 -> 35 [size =\"25109504\"]\n  4 -> 35 [size =\"25109504\"]\n  4 -> 38 [size =\"25109504\"]\n  5 [size=\"107042133\", alpha=\"0.18\", expect_size=\"32112640\"] \n  5 -> 33 [size =\"32112640\"]\n  5 -> 35 [size =\"32112640\"]\n  5 -> 36 [size =\"32112640\"]\n  6 [size=\"20404907\", alpha=\"0.19\", expect_size=\"6121472\"] \n  6 -> 33 [size =\"6121472\"]\n  6 -> 35 [size =\"6121472\"]\n  6 -> 36 [size =\"6121472\"]\n  7 [size=\"161102507\", alpha=\"0.08\", expect_size=\"48330752\"] \n  7 -> 33 [size =\"48330752\"]\n  7 -> 35 [size =\"48330752\"]\n  7 -> 36 [size =\"48330752\"]\n  8 [size=\"76359680\", alpha=\"0.10\", expect_size=\"22907904\"] \n  8 -> 33 [size =\"22907904\"]\n  8 -> 36 [size =\"22907904\"]\n  8 -> 36 [size =\"22907904\"]\n  8 -> 38 [size =\"22907904\"]\n  8 -> 39 [size =\"22907904\"]\n  9 [size=\"155139413\", alpha=\"0.07\", expect_size=\"46541824\"] \n  9 -> 33 [size =\"46541824\"]\n  9 -> 34 [size =\"46541824\"]\n  9 -> 35 [size =\"46541824\"]\n  9 -> 36 [size =\"46541824\"]\n  9 -> 39 [size =\"46541824\"]\n  9 -> 40 [size =\"46541824\"]\n  10 [size=\"105574400\", alpha=\"0.03\", expect_size=\"31672320\"] \n  10 -> 33 [size =\"31672320\"]\n  10 -> 36 [size =\"31672320\"]\n  11 [size=\"154309973\", alpha=\"0.19\", expect_size=\"46292992\"] \n  11 -> 33 [size =\"46292992\"]\n  11 -> 34 [size =\"46292992\"]\n  11 -> 35 [size =\"46292992\"]\n  12 [size=\"36031147\", alpha=\"0.04\", expect_size=\"10809344\"] \n  12 -> 33 [size =\"10809344\"]\n  12 -> 35 [size =\"10809344\"]\n  12 -> 35 [size =\"10809344\"]\n  12 -> 40 [size =\"10809344\"]\n  13 [size=\"113008640\", alpha=\"0.19\", expect_size=\"33902592\"] \n  13 -> 33 [size =\"33902592\"]\n  13 -> 35 [size =\"33902592\"]\n  14 [size=\"79230293\", alpha=\"0.03\", expect_size=\"23769088\"] \n  14 -> 36 [size =\"23769088\"]\n  14 -> 39 [size =\"23769088\"]\n  14 -> 40 [size =\"23769088\"]\n  15 [size=\"145380693\", alpha=\"0.11\", expect_size=\"43614208\"] \n  15 -> 34 [size =\"43614208\"]\n  15 -> 35 [size =\"43614208\"]\n  15 -> 36 [size =\"43614208\"]\n  15 -> 40 [size =\"43614208\"]\n  16 [size=\"132174507\", alpha=\"0.19\", expect_size=\"39652352\"] \n  16 -> 35 [size =\"39652352\"]\n  16 -> 35 [size =\"39652352\"]\n  16 -> 36 [size =\"39652352\"]\n  16 -> 40 [size =\"39652352\"]\n  17 [size=\"122272427\", alpha=\"0.05\", expect_size=\"36681728\"] \n  17 -> 35 [size =\"36681728\"]\n  17 -> 36 [size =\"36681728\"]\n  17 -> 39 [size =\"36681728\"]\n  17 -> 40 [size =\"36681728\"]\n  18 [size=\"29924693\", alpha=\"0.04\", expect_size=\"8977408\"] \n  18 -> 33 [size =\"8977408\"]\n  18 -> 34 [size =\"8977408\"]\n  18 -> 35 [size =\"8977408\"]\n  18 -> 36 [size =\"8977408\"]\n  18 -> 40 [size =\"8977408\"]\n  19 [size=\"104789333\", alpha=\"0.13\", expect_size=\"31436800\"] \n  19 -> 33 [size =\"31436800\"]\n  19 -> 34 [size =\"31436800\"]\n  19 -> 35 [size =\"31436800\"]\n  19 -> 40 [size =\"31436800\"]\n  19 -> 40 [size =\"31436800\"]\n  20 [size=\"157265920\", alpha=\"0.08\", expect_size=\"47179776\"] \n  20 -> 34 [size =\"47179776\"]\n  20 -> 35 [size =\"47179776\"]\n  20 -> 38 [size =\"47179776\"]\n  20 -> 39 [size =\"47179776\"]\n  20 -> 40 [size =\"47179776\"]\n  21 [size=\"23016107\", alpha=\"0.19\", expect_size=\"6904832\"] \n  21 -> 33 [size =\"6904832\"]\n  21 -> 35 [size =\"6904832\"]\n  21 -> 36 [size =\"6904832\"]\n  21 -> 40 [size =\"6904832\"]\n  21 -> 40 [size =\"6904832\"]\n  22 [size=\"168557227\", alpha=\"0.16\", expect_size=\"50567168\"] \n  22 -> 33 [size =\"50567168\"]\n  22 -> 35 [size =\"50567168\"]\n  22 -> 40 [size =\"50567168\"]\n  22 -> 40 [size =\"50567168\"]\n  23 [size=\"40628907\", alpha=\"0.16\", expect_size=\"12188672\"] \n  23 -> 35 [size =\"12188672\"]\n  23 -> 37 [size =\"12188672\"]\n  23 -> 40 [size =\"12188672\"]\n  24 [size=\"35908267\", alpha=\"0.04\", expect_size=\"10772480\"] \n  24 -> 33 [size =\"10772480\"]\n  24 -> 35 [size =\"10772480\"]\n  24 -> 36 [size =\"10772480\"]\n  24 -> 40 [size =\"10772480\"]\n  25 [size=\"60347733\", alpha=\"0.03\", expect_size=\"18104320\"] \n  25 -> 36 [size =\"18104320\"]\n  25 -> 39 [size =\"18104320\"]\n  25 -> 40 [size =\"18104320\"]\n  25 -> 40 [size =\"18104320\"]\n  26 [size=\"143554560\", alpha=\"0.03\", expect_size=\"43066368\"] \n  26 -> 36 [size =\"43066368\"]\n  26 -> 38 [size =\"43066368\"]\n  26 -> 40 [size =\"43066368\"]\n  27 [size=\"137854293\", alpha=\"0.00\", expect_size=\"41356288\"] \n  27 -> 34 [size =\"41356288\"]\n  27 -> 36 [size =\"41356288\"]\n  27 -> 38 [size =\"41356288\"]\n  27 -> 39 [size =\"41356288\"]\n  27 -> 40 [size =\"41356288\"]\n  28 [size=\"174083413\", alpha=\"0.06\", expect_size=\"52225024\"] \n  28 -> 33 [size =\"52225024\"]\n  28 -> 34 [size =\"52225024\"]\n  28 -> 36 [size =\"52225024\"]\n  28 -> 39 [size =\"52225024\"]\n  28 -> 40 [size =\"52225024\"]\n  29 [size=\"45557760\", alpha=\"0.09\", expect_size=\"13667328\"] \n  29 -> 33 [size =\"13667328\"]\n  29 -> 36 [size =\"13667328\"]\n  29 -> 36 [size =\"13667328\"]\n  29 -> 38 [size =\"13667328\"]\n  29 -> 39 [size =\"13667328\"]\n  30 [size=\"149551787\", alpha=\"0.03\", expect_size=\"44865536\"] \n  30 -> 33 [size =\"44865536\"]\n  30 -> 36 [size =\"44865536\"]\n  30 -> 38 [size =\"44865536\"]\n  30 -> 40 [size =\"44865536\"]\n  31 [size=\"57115307\", alpha=\"0.14\", expect_size=\"17134592\"] \n  31 -> 33 [size =\"17134592\"]\n  31 -> 34 [size =\"17134592\"]\n  31 -> 38 [size =\"17134592\"]\n  31 -> 40 [size =\"17134592\"]\n  32 [size=\"46602240\", alpha=\"0.08\", expect_size=\"13980672\"] \n  32 -> 33 [size =\"13980672\"]\n  32 -> 34 [size =\"13980672\"]\n  32 -> 35 [size =\"13980672\"]\n  32 -> 36 [size =\"13980672\"]\n  32 -> 39 [size =\"13980672\"]\n  32 -> 40 [size =\"13980672\"]\n  33 [size=\"174288213\", alpha=\"0.14\", expect_size=\"52286464\"] \n  34 [size=\"140584960\", alpha=\"0.08\", expect_size=\"42175488\"] \n  35 [size=\"169004373\", alpha=\"0.18\", expect_size=\"50701312\"] \n  36 [size=\"34542933\", alpha=\"0.03\", expect_size=\"10362880\"] \n  37 [size=\"54698667\", alpha=\"0.01\", expect_size=\"16409600\"] \n  38 [size=\"58531840\", alpha=\"0.01\", expect_size=\"17559552\"] \n  39 [size=\"104925867\", alpha=\"0.12\", expect_size=\"31477760\"] \n  40 [size=\"174257493\", alpha=\"0.00\", expect_size=\"52277248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96422400\", alpha=\"0.16\", expect_size=\"38568960\"] \n  1 -> 6 [size =\"38568960\"]\n  1 -> 7 [size =\"38568960\"]\n  1 -> 8 [size =\"38568960\"]\n  1 -> 9 [size =\"38568960\"]\n  1 -> 10 [size =\"38568960\"]\n  2 [size=\"41968640\", alpha=\"0.10\", expect_size=\"16787456\"] \n  2 -> 8 [size =\"16787456\"]\n  3 [size=\"19266560\", alpha=\"0.06\", expect_size=\"7706624\"] \n  3 -> 6 [size =\"7706624\"]\n  3 -> 7 [size =\"7706624\"]\n  3 -> 8 [size =\"7706624\"]\n  3 -> 10 [size =\"7706624\"]\n  4 [size=\"77557760\", alpha=\"0.15\", expect_size=\"31023104\"] \n  4 -> 11 [size =\"31023104\"]\n  5 [size=\"78771200\", alpha=\"0.06\", expect_size=\"31508480\"] \n  5 -> 6 [size =\"31508480\"]\n  5 -> 7 [size =\"31508480\"]\n  5 -> 9 [size =\"31508480\"]\n  5 -> 11 [size =\"31508480\"]\n  6 [size=\"85637120\", alpha=\"0.09\", expect_size=\"34254848\"] \n  7 [size=\"106577920\", alpha=\"0.10\", expect_size=\"42631168\"] \n  7 -> 12 [size =\"42631168\"]\n  7 -> 13 [size =\"42631168\"]\n  7 -> 14 [size =\"42631168\"]\n  7 -> 16 [size =\"42631168\"]\n  8 [size=\"93867520\", alpha=\"0.11\", expect_size=\"37547008\"] \n  8 -> 15 [size =\"37547008\"]\n  9 [size=\"50826240\", alpha=\"0.09\", expect_size=\"20330496\"] \n  9 -> 15 [size =\"20330496\"]\n  10 [size=\"123384320\", alpha=\"0.19\", expect_size=\"49353728\"] \n  11 [size=\"73651200\", alpha=\"0.08\", expect_size=\"29460480\"] \n  12 [size=\"50419200\", alpha=\"0.08\", expect_size=\"20167680\"] \n  12 -> 19 [size =\"20167680\"]\n  12 -> 20 [size =\"20167680\"]\n  12 -> 22 [size =\"20167680\"]\n  13 [size=\"112115200\", alpha=\"0.04\", expect_size=\"44846080\"] \n  13 -> 17 [size =\"44846080\"]\n  13 -> 18 [size =\"44846080\"]\n  14 [size=\"26969600\", alpha=\"0.10\", expect_size=\"10787840\"] \n  14 -> 17 [size =\"10787840\"]\n  14 -> 21 [size =\"10787840\"]\n  15 [size=\"116608000\", alpha=\"0.18\", expect_size=\"46643200\"] \n  15 -> 19 [size =\"46643200\"]\n  15 -> 22 [size =\"46643200\"]\n  16 [size=\"36144640\", alpha=\"0.06\", expect_size=\"14457856\"] \n  16 -> 20 [size =\"14457856\"]\n  16 -> 21 [size =\"14457856\"]\n  17 [size=\"87390720\", alpha=\"0.14\", expect_size=\"34956288\"] \n  17 -> 23 [size =\"34956288\"]\n  17 -> 24 [size =\"34956288\"]\n  17 -> 25 [size =\"34956288\"]\n  17 -> 27 [size =\"34956288\"]\n  17 -> 28 [size =\"34956288\"]\n  18 [size=\"30661120\", alpha=\"0.03\", expect_size=\"12264448\"] \n  18 -> 24 [size =\"12264448\"]\n  18 -> 25 [size =\"12264448\"]\n  19 [size=\"95472640\", alpha=\"0.01\", expect_size=\"38189056\"] \n  19 -> 23 [size =\"38189056\"]\n  20 [size=\"32883200\", alpha=\"0.04\", expect_size=\"13153280\"] \n  20 -> 23 [size =\"13153280\"]\n  21 [size=\"27461120\", alpha=\"0.01\", expect_size=\"10984448\"] \n  21 -> 25 [size =\"10984448\"]\n  21 -> 27 [size =\"10984448\"]\n  21 -> 28 [size =\"10984448\"]\n  22 [size=\"75617280\", alpha=\"0.04\", expect_size=\"30246912\"] \n  22 -> 23 [size =\"30246912\"]\n  22 -> 26 [size =\"30246912\"]\n  22 -> 27 [size =\"30246912\"]\n  22 -> 28 [size =\"30246912\"]\n  23 [size=\"122580480\", alpha=\"0.07\", expect_size=\"49032192\"] \n  23 -> 31 [size =\"49032192\"]\n  24 [size=\"27420160\", alpha=\"0.01\", expect_size=\"10968064\"] \n  24 -> 30 [size =\"10968064\"]\n  24 -> 31 [size =\"10968064\"]\n  25 [size=\"88437760\", alpha=\"0.07\", expect_size=\"35375104\"] \n  25 -> 32 [size =\"35375104\"]\n  26 [size=\"76121600\", alpha=\"0.04\", expect_size=\"30448640\"] \n  26 -> 31 [size =\"30448640\"]\n  26 -> 33 [size =\"30448640\"]\n  27 [size=\"112819200\", alpha=\"0.18\", expect_size=\"45127680\"] \n  27 -> 31 [size =\"45127680\"]\n  27 -> 33 [size =\"45127680\"]\n  28 [size=\"75624960\", alpha=\"0.05\", expect_size=\"30249984\"] \n  28 -> 29 [size =\"30249984\"]\n  28 -> 32 [size =\"30249984\"]\n  28 -> 33 [size =\"30249984\"]\n  29 [size=\"95984640\", alpha=\"0.19\", expect_size=\"38393856\"] \n  29 -> 34 [size =\"38393856\"]\n  29 -> 36 [size =\"38393856\"]\n  30 [size=\"100206080\", alpha=\"0.11\", expect_size=\"40082432\"] \n  30 -> 37 [size =\"40082432\"]\n  30 -> 38 [size =\"40082432\"]\n  31 [size=\"123637760\", alpha=\"0.14\", expect_size=\"49455104\"] \n  31 -> 37 [size =\"49455104\"]\n  31 -> 38 [size =\"49455104\"]\n  32 [size=\"13667840\", alpha=\"0.02\", expect_size=\"5467136\"] \n  32 -> 34 [size =\"5467136\"]\n  32 -> 35 [size =\"5467136\"]\n  32 -> 36 [size =\"5467136\"]\n  33 [size=\"35084800\", alpha=\"0.08\", expect_size=\"14033920\"] \n  33 -> 35 [size =\"14033920\"]\n  33 -> 36 [size =\"14033920\"]\n  33 -> 38 [size =\"14033920\"]\n  34 [size=\"76088320\", alpha=\"0.16\", expect_size=\"30435328\"] \n  35 [size=\"83166720\", alpha=\"0.02\", expect_size=\"33266688\"] \n  35 -> 39 [size =\"33266688\"]\n  36 [size=\"121984000\", alpha=\"0.11\", expect_size=\"48793600\"] \n  36 -> 39 [size =\"48793600\"]\n  37 [size=\"29140480\", alpha=\"0.13\", expect_size=\"11656192\"] \n  37 -> 39 [size =\"11656192\"]\n  37 -> 40 [size =\"11656192\"]\n  38 [size=\"16074240\", alpha=\"0.18\", expect_size=\"6429696\"] \n  38 -> 40 [size =\"6429696\"]\n  39 [size=\"45580800\", alpha=\"0.17\", expect_size=\"18232320\"] \n  40 [size=\"37416960\", alpha=\"0.20\", expect_size=\"14966784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147083947\", alpha=\"0.17\", expect_size=\"44125184\"] \n  1 -> 7 [size =\"44125184\"]\n  2 [size=\"29538987\", alpha=\"0.03\", expect_size=\"8861696\"] \n  2 -> 9 [size =\"8861696\"]\n  3 [size=\"24613547\", alpha=\"0.13\", expect_size=\"7384064\"] \n  3 -> 6 [size =\"7384064\"]\n  3 -> 8 [size =\"7384064\"]\n  4 [size=\"109776213\", alpha=\"0.02\", expect_size=\"32932864\"] \n  4 -> 6 [size =\"32932864\"]\n  4 -> 7 [size =\"32932864\"]\n  4 -> 10 [size =\"32932864\"]\n  5 [size=\"130027520\", alpha=\"0.05\", expect_size=\"39008256\"] \n  5 -> 7 [size =\"39008256\"]\n  5 -> 9 [size =\"39008256\"]\n  6 [size=\"76288000\", alpha=\"0.18\", expect_size=\"22886400\"] \n  6 -> 11 [size =\"22886400\"]\n  6 -> 12 [size =\"22886400\"]\n  7 [size=\"132567040\", alpha=\"0.14\", expect_size=\"39770112\"] \n  7 -> 12 [size =\"39770112\"]\n  8 [size=\"148893013\", alpha=\"0.19\", expect_size=\"44667904\"] \n  8 -> 11 [size =\"44667904\"]\n  9 [size=\"64768000\", alpha=\"0.11\", expect_size=\"19430400\"] \n  9 -> 14 [size =\"19430400\"]\n  9 -> 15 [size =\"19430400\"]\n  10 [size=\"62798507\", alpha=\"0.15\", expect_size=\"18839552\"] \n  10 -> 13 [size =\"18839552\"]\n  11 [size=\"90057387\", alpha=\"0.17\", expect_size=\"27017216\"] \n  11 -> 19 [size =\"27017216\"]\n  11 -> 21 [size =\"27017216\"]\n  12 [size=\"62917973\", alpha=\"0.03\", expect_size=\"18875392\"] \n  12 -> 21 [size =\"18875392\"]\n  13 [size=\"83783680\", alpha=\"0.08\", expect_size=\"25135104\"] \n  13 -> 19 [size =\"25135104\"]\n  14 [size=\"28460373\", alpha=\"0.02\", expect_size=\"8538112\"] \n  14 -> 16 [size =\"8538112\"]\n  14 -> 17 [size =\"8538112\"]\n  14 -> 20 [size =\"8538112\"]\n  15 [size=\"42810027\", alpha=\"0.02\", expect_size=\"12843008\"] \n  15 -> 16 [size =\"12843008\"]\n  15 -> 18 [size =\"12843008\"]\n  15 -> 21 [size =\"12843008\"]\n  16 [size=\"79329280\", alpha=\"0.19\", expect_size=\"23798784\"] \n  16 -> 22 [size =\"23798784\"]\n  16 -> 23 [size =\"23798784\"]\n  16 -> 26 [size =\"23798784\"]\n  16 -> 28 [size =\"23798784\"]\n  17 [size=\"64037547\", alpha=\"0.05\", expect_size=\"19211264\"] \n  17 -> 23 [size =\"19211264\"]\n  17 -> 25 [size =\"19211264\"]\n  17 -> 27 [size =\"19211264\"]\n  18 [size=\"19247787\", alpha=\"0.20\", expect_size=\"5774336\"] \n  18 -> 22 [size =\"5774336\"]\n  18 -> 26 [size =\"5774336\"]\n  19 [size=\"170850987\", alpha=\"0.04\", expect_size=\"51255296\"] \n  19 -> 24 [size =\"51255296\"]\n  20 [size=\"96290133\", alpha=\"0.14\", expect_size=\"28887040\"] \n  20 -> 22 [size =\"28887040\"]\n  20 -> 28 [size =\"28887040\"]\n  21 [size=\"54606507\", alpha=\"0.20\", expect_size=\"16381952\"] \n  21 -> 25 [size =\"16381952\"]\n  21 -> 26 [size =\"16381952\"]\n  21 -> 27 [size =\"16381952\"]\n  21 -> 28 [size =\"16381952\"]\n  22 [size=\"32832853\", alpha=\"0.07\", expect_size=\"9849856\"] \n  22 -> 29 [size =\"9849856\"]\n  22 -> 31 [size =\"9849856\"]\n  22 -> 32 [size =\"9849856\"]\n  23 [size=\"57675093\", alpha=\"0.15\", expect_size=\"17302528\"] \n  23 -> 30 [size =\"17302528\"]\n  23 -> 31 [size =\"17302528\"]\n  23 -> 33 [size =\"17302528\"]\n  24 [size=\"117032960\", alpha=\"0.15\", expect_size=\"35109888\"] \n  24 -> 29 [size =\"35109888\"]\n  24 -> 33 [size =\"35109888\"]\n  25 [size=\"131860480\", alpha=\"0.10\", expect_size=\"39558144\"] \n  25 -> 29 [size =\"39558144\"]\n  25 -> 32 [size =\"39558144\"]\n  26 [size=\"145930240\", alpha=\"0.11\", expect_size=\"43779072\"] \n  27 [size=\"141991253\", alpha=\"0.08\", expect_size=\"42597376\"] \n  27 -> 33 [size =\"42597376\"]\n  28 [size=\"24555520\", alpha=\"0.01\", expect_size=\"7366656\"] \n  28 -> 31 [size =\"7366656\"]\n  29 [size=\"23098027\", alpha=\"0.00\", expect_size=\"6929408\"] \n  29 -> 34 [size =\"6929408\"]\n  29 -> 35 [size =\"6929408\"]\n  30 [size=\"56637440\", alpha=\"0.05\", expect_size=\"16991232\"] \n  30 -> 34 [size =\"16991232\"]\n  31 [size=\"163993600\", alpha=\"0.19\", expect_size=\"49198080\"] \n  31 -> 34 [size =\"49198080\"]\n  31 -> 37 [size =\"49198080\"]\n  32 [size=\"160208213\", alpha=\"0.19\", expect_size=\"48062464\"] \n  32 -> 36 [size =\"48062464\"]\n  32 -> 37 [size =\"48062464\"]\n  33 [size=\"57344000\", alpha=\"0.08\", expect_size=\"17203200\"] \n  34 [size=\"19824640\", alpha=\"0.18\", expect_size=\"5947392\"] \n  34 -> 40 [size =\"5947392\"]\n  35 [size=\"139950080\", alpha=\"0.11\", expect_size=\"41985024\"] \n  35 -> 39 [size =\"41985024\"]\n  36 [size=\"58419200\", alpha=\"0.12\", expect_size=\"17525760\"] \n  36 -> 38 [size =\"17525760\"]\n  36 -> 39 [size =\"17525760\"]\n  37 [size=\"148616533\", alpha=\"0.18\", expect_size=\"44584960\"] \n  37 -> 40 [size =\"44584960\"]\n  38 [size=\"53780480\", alpha=\"0.05\", expect_size=\"16134144\"] \n  39 [size=\"62610773\", alpha=\"0.12\", expect_size=\"18783232\"] \n  40 [size=\"65116160\", alpha=\"0.08\", expect_size=\"19534848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65841152\", alpha=\"0.07\", expect_size=\"32920576\"] \n  1 -> 31 [size =\"32920576\"]\n  1 -> 32 [size =\"32920576\"]\n  1 -> 35 [size =\"32920576\"]\n  1 -> 37 [size =\"32920576\"]\n  2 [size=\"75028480\", alpha=\"0.15\", expect_size=\"37514240\"] \n  2 -> 31 [size =\"37514240\"]\n  2 -> 32 [size =\"37514240\"]\n  2 -> 35 [size =\"37514240\"]\n  2 -> 38 [size =\"37514240\"]\n  3 [size=\"98215936\", alpha=\"0.17\", expect_size=\"49107968\"] \n  3 -> 31 [size =\"49107968\"]\n  3 -> 32 [size =\"49107968\"]\n  3 -> 36 [size =\"49107968\"]\n  4 [size=\"47679488\", alpha=\"0.15\", expect_size=\"23839744\"] \n  4 -> 30 [size =\"23839744\"]\n  4 -> 31 [size =\"23839744\"]\n  4 -> 32 [size =\"23839744\"]\n  4 -> 34 [size =\"23839744\"]\n  4 -> 38 [size =\"23839744\"]\n  5 [size=\"12474368\", alpha=\"0.00\", expect_size=\"6237184\"] \n  5 -> 31 [size =\"6237184\"]\n  5 -> 31 [size =\"6237184\"]\n  5 -> 32 [size =\"6237184\"]\n  5 -> 34 [size =\"6237184\"]\n  5 -> 35 [size =\"6237184\"]\n  5 -> 37 [size =\"6237184\"]\n  5 -> 38 [size =\"6237184\"]\n  6 [size=\"20535296\", alpha=\"0.18\", expect_size=\"10267648\"] \n  6 -> 31 [size =\"10267648\"]\n  6 -> 32 [size =\"10267648\"]\n  6 -> 32 [size =\"10267648\"]\n  6 -> 34 [size =\"10267648\"]\n  6 -> 35 [size =\"10267648\"]\n  6 -> 37 [size =\"10267648\"]\n  6 -> 38 [size =\"10267648\"]\n  7 [size=\"90687488\", alpha=\"0.03\", expect_size=\"45343744\"] \n  7 -> 31 [size =\"45343744\"]\n  7 -> 32 [size =\"45343744\"]\n  7 -> 34 [size =\"45343744\"]\n  7 -> 34 [size =\"45343744\"]\n  7 -> 35 [size =\"45343744\"]\n  7 -> 37 [size =\"45343744\"]\n  7 -> 38 [size =\"45343744\"]\n  8 [size=\"20285440\", alpha=\"0.17\", expect_size=\"10142720\"] \n  8 -> 31 [size =\"10142720\"]\n  8 -> 32 [size =\"10142720\"]\n  8 -> 36 [size =\"10142720\"]\n  8 -> 37 [size =\"10142720\"]\n  8 -> 38 [size =\"10142720\"]\n  9 [size=\"70578176\", alpha=\"0.08\", expect_size=\"35289088\"] \n  9 -> 31 [size =\"35289088\"]\n  9 -> 32 [size =\"35289088\"]\n  9 -> 34 [size =\"35289088\"]\n  9 -> 35 [size =\"35289088\"]\n  9 -> 37 [size =\"35289088\"]\n  9 -> 38 [size =\"35289088\"]\n  10 [size=\"99772416\", alpha=\"0.07\", expect_size=\"49886208\"] \n  10 -> 30 [size =\"49886208\"]\n  10 -> 31 [size =\"49886208\"]\n  10 -> 32 [size =\"49886208\"]\n  10 -> 35 [size =\"49886208\"]\n  10 -> 37 [size =\"49886208\"]\n  11 [size=\"79788032\", alpha=\"0.01\", expect_size=\"39894016\"] \n  11 -> 30 [size =\"39894016\"]\n  11 -> 31 [size =\"39894016\"]\n  11 -> 32 [size =\"39894016\"]\n  11 -> 37 [size =\"39894016\"]\n  11 -> 37 [size =\"39894016\"]\n  11 -> 38 [size =\"39894016\"]\n  12 [size=\"18628608\", alpha=\"0.09\", expect_size=\"9314304\"] \n  12 -> 30 [size =\"9314304\"]\n  12 -> 32 [size =\"9314304\"]\n  12 -> 32 [size =\"9314304\"]\n  12 -> 36 [size =\"9314304\"]\n  12 -> 37 [size =\"9314304\"]\n  12 -> 39 [size =\"9314304\"]\n  13 [size=\"90267648\", alpha=\"0.15\", expect_size=\"45133824\"] \n  13 -> 31 [size =\"45133824\"]\n  13 -> 32 [size =\"45133824\"]\n  13 -> 34 [size =\"45133824\"]\n  13 -> 36 [size =\"45133824\"]\n  13 -> 37 [size =\"45133824\"]\n  13 -> 38 [size =\"45133824\"]\n  14 [size=\"75294720\", alpha=\"0.07\", expect_size=\"37647360\"] \n  14 -> 31 [size =\"37647360\"]\n  14 -> 32 [size =\"37647360\"]\n  14 -> 33 [size =\"37647360\"]\n  14 -> 36 [size =\"37647360\"]\n  14 -> 37 [size =\"37647360\"]\n  15 [size=\"49838080\", alpha=\"0.20\", expect_size=\"24919040\"] \n  15 -> 30 [size =\"24919040\"]\n  15 -> 31 [size =\"24919040\"]\n  15 -> 35 [size =\"24919040\"]\n  15 -> 36 [size =\"24919040\"]\n  15 -> 37 [size =\"24919040\"]\n  15 -> 38 [size =\"24919040\"]\n  16 [size=\"50255872\", alpha=\"0.12\", expect_size=\"25127936\"] \n  16 -> 30 [size =\"25127936\"]\n  16 -> 31 [size =\"25127936\"]\n  16 -> 35 [size =\"25127936\"]\n  16 -> 36 [size =\"25127936\"]\n  16 -> 37 [size =\"25127936\"]\n  16 -> 38 [size =\"25127936\"]\n  17 [size=\"41433088\", alpha=\"0.04\", expect_size=\"20716544\"] \n  17 -> 30 [size =\"20716544\"]\n  17 -> 31 [size =\"20716544\"]\n  17 -> 34 [size =\"20716544\"]\n  17 -> 36 [size =\"20716544\"]\n  17 -> 38 [size =\"20716544\"]\n  17 -> 38 [size =\"20716544\"]\n  18 [size=\"53497856\", alpha=\"0.10\", expect_size=\"26748928\"] \n  18 -> 32 [size =\"26748928\"]\n  18 -> 34 [size =\"26748928\"]\n  18 -> 34 [size =\"26748928\"]\n  19 [size=\"39292928\", alpha=\"0.03\", expect_size=\"19646464\"] \n  19 -> 37 [size =\"19646464\"]\n  19 -> 38 [size =\"19646464\"]\n  20 [size=\"75720704\", alpha=\"0.12\", expect_size=\"37860352\"] \n  20 -> 35 [size =\"37860352\"]\n  20 -> 37 [size =\"37860352\"]\n  21 [size=\"14233600\", alpha=\"0.13\", expect_size=\"7116800\"] \n  21 -> 30 [size =\"7116800\"]\n  21 -> 31 [size =\"7116800\"]\n  21 -> 33 [size =\"7116800\"]\n  21 -> 35 [size =\"7116800\"]\n  21 -> 37 [size =\"7116800\"]\n  21 -> 38 [size =\"7116800\"]\n  22 [size=\"18692096\", alpha=\"0.07\", expect_size=\"9346048\"] \n  22 -> 30 [size =\"9346048\"]\n  22 -> 35 [size =\"9346048\"]\n  22 -> 37 [size =\"9346048\"]\n  22 -> 38 [size =\"9346048\"]\n  22 -> 39 [size =\"9346048\"]\n  23 [size=\"63424512\", alpha=\"0.00\", expect_size=\"31712256\"] \n  23 -> 32 [size =\"31712256\"]\n  23 -> 33 [size =\"31712256\"]\n  23 -> 34 [size =\"31712256\"]\n  23 -> 35 [size =\"31712256\"]\n  23 -> 38 [size =\"31712256\"]\n  23 -> 39 [size =\"31712256\"]\n  24 [size=\"41222144\", alpha=\"0.01\", expect_size=\"20611072\"] \n  24 -> 30 [size =\"20611072\"]\n  24 -> 31 [size =\"20611072\"]\n  24 -> 33 [size =\"20611072\"]\n  24 -> 34 [size =\"20611072\"]\n  24 -> 35 [size =\"20611072\"]\n  24 -> 36 [size =\"20611072\"]\n  24 -> 37 [size =\"20611072\"]\n  24 -> 38 [size =\"20611072\"]\n  24 -> 40 [size =\"20611072\"]\n  25 [size=\"74954752\", alpha=\"0.03\", expect_size=\"37477376\"] \n  25 -> 30 [size =\"37477376\"]\n  25 -> 32 [size =\"37477376\"]\n  25 -> 33 [size =\"37477376\"]\n  25 -> 35 [size =\"37477376\"]\n  25 -> 35 [size =\"37477376\"]\n  25 -> 37 [size =\"37477376\"]\n  25 -> 38 [size =\"37477376\"]\n  26 [size=\"73877504\", alpha=\"0.06\", expect_size=\"36938752\"] \n  26 -> 30 [size =\"36938752\"]\n  26 -> 31 [size =\"36938752\"]\n  26 -> 32 [size =\"36938752\"]\n  26 -> 34 [size =\"36938752\"]\n  26 -> 35 [size =\"36938752\"]\n  26 -> 36 [size =\"36938752\"]\n  26 -> 37 [size =\"36938752\"]\n  26 -> 38 [size =\"36938752\"]\n  26 -> 39 [size =\"36938752\"]\n  27 [size=\"34508800\", alpha=\"0.07\", expect_size=\"17254400\"] \n  27 -> 30 [size =\"17254400\"]\n  27 -> 32 [size =\"17254400\"]\n  27 -> 35 [size =\"17254400\"]\n  27 -> 36 [size =\"17254400\"]\n  27 -> 37 [size =\"17254400\"]\n  27 -> 38 [size =\"17254400\"]\n  28 [size=\"51083264\", alpha=\"0.09\", expect_size=\"25541632\"] \n  28 -> 32 [size =\"25541632\"]\n  28 -> 35 [size =\"25541632\"]\n  28 -> 35 [size =\"25541632\"]\n  28 -> 37 [size =\"25541632\"]\n  28 -> 37 [size =\"25541632\"]\n  28 -> 38 [size =\"25541632\"]\n  29 [size=\"98953216\", alpha=\"0.04\", expect_size=\"49476608\"] \n  29 -> 31 [size =\"49476608\"]\n  29 -> 32 [size =\"49476608\"]\n  29 -> 37 [size =\"49476608\"]\n  29 -> 38 [size =\"49476608\"]\n  30 [size=\"19773440\", alpha=\"0.18\", expect_size=\"9886720\"] \n  31 [size=\"77486080\", alpha=\"0.07\", expect_size=\"38743040\"] \n  32 [size=\"44331008\", alpha=\"0.18\", expect_size=\"22165504\"] \n  33 [size=\"79226880\", alpha=\"0.05\", expect_size=\"39613440\"] \n  34 [size=\"81158144\", alpha=\"0.07\", expect_size=\"40579072\"] \n  35 [size=\"87322624\", alpha=\"0.16\", expect_size=\"43661312\"] \n  36 [size=\"99706880\", alpha=\"0.14\", expect_size=\"49853440\"] \n  37 [size=\"33992704\", alpha=\"0.19\", expect_size=\"16996352\"] \n  38 [size=\"64751616\", alpha=\"0.13\", expect_size=\"32375808\"] \n  39 [size=\"13045760\", alpha=\"0.12\", expect_size=\"6522880\"] \n  40 [size=\"33337344\", alpha=\"0.06\", expect_size=\"16668672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64560640\", alpha=\"0.16\", expect_size=\"25824256\"] \n  1 -> 33 [size =\"25824256\"]\n  1 -> 34 [size =\"25824256\"]\n  1 -> 35 [size =\"25824256\"]\n  1 -> 36 [size =\"25824256\"]\n  1 -> 39 [size =\"25824256\"]\n  2 [size=\"88309760\", alpha=\"0.03\", expect_size=\"35323904\"] \n  2 -> 39 [size =\"35323904\"]\n  3 [size=\"89267200\", alpha=\"0.12\", expect_size=\"35706880\"] \n  3 -> 37 [size =\"35706880\"]\n  4 [size=\"105617920\", alpha=\"0.18\", expect_size=\"42247168\"] \n  4 -> 33 [size =\"42247168\"]\n  4 -> 34 [size =\"42247168\"]\n  4 -> 37 [size =\"42247168\"]\n  4 -> 39 [size =\"42247168\"]\n  5 [size=\"101977600\", alpha=\"0.13\", expect_size=\"40791040\"] \n  5 -> 34 [size =\"40791040\"]\n  5 -> 39 [size =\"40791040\"]\n  6 [size=\"59095040\", alpha=\"0.16\", expect_size=\"23638016\"] \n  6 -> 34 [size =\"23638016\"]\n  6 -> 37 [size =\"23638016\"]\n  7 [size=\"124608000\", alpha=\"0.03\", expect_size=\"49843200\"] \n  7 -> 34 [size =\"49843200\"]\n  7 -> 40 [size =\"49843200\"]\n  8 [size=\"29214720\", alpha=\"0.07\", expect_size=\"11685888\"] \n  8 -> 33 [size =\"11685888\"]\n  8 -> 34 [size =\"11685888\"]\n  8 -> 37 [size =\"11685888\"]\n  9 [size=\"101849600\", alpha=\"0.05\", expect_size=\"40739840\"] \n  10 [size=\"118131200\", alpha=\"0.02\", expect_size=\"47252480\"] \n  10 -> 33 [size =\"47252480\"]\n  10 -> 37 [size =\"47252480\"]\n  10 -> 39 [size =\"47252480\"]\n  11 [size=\"71185920\", alpha=\"0.20\", expect_size=\"28474368\"] \n  11 -> 33 [size =\"28474368\"]\n  11 -> 34 [size =\"28474368\"]\n  11 -> 38 [size =\"28474368\"]\n  11 -> 39 [size =\"28474368\"]\n  12 [size=\"48094720\", alpha=\"0.17\", expect_size=\"19237888\"] \n  12 -> 35 [size =\"19237888\"]\n  12 -> 38 [size =\"19237888\"]\n  12 -> 39 [size =\"19237888\"]\n  13 [size=\"65848320\", alpha=\"0.17\", expect_size=\"26339328\"] \n  14 [size=\"16806400\", alpha=\"0.03\", expect_size=\"6722560\"] \n  14 -> 34 [size =\"6722560\"]\n  14 -> 39 [size =\"6722560\"]\n  15 [size=\"120094720\", alpha=\"0.01\", expect_size=\"48037888\"] \n  15 -> 35 [size =\"48037888\"]\n  16 [size=\"81169920\", alpha=\"0.11\", expect_size=\"32467968\"] \n  16 -> 38 [size =\"32467968\"]\n  17 [size=\"59368960\", alpha=\"0.18\", expect_size=\"23747584\"] \n  17 -> 33 [size =\"23747584\"]\n  17 -> 35 [size =\"23747584\"]\n  17 -> 40 [size =\"23747584\"]\n  18 [size=\"77153280\", alpha=\"0.19\", expect_size=\"30861312\"] \n  19 [size=\"120353280\", alpha=\"0.05\", expect_size=\"48141312\"] \n  19 -> 39 [size =\"48141312\"]\n  19 -> 40 [size =\"48141312\"]\n  20 [size=\"32988160\", alpha=\"0.16\", expect_size=\"13195264\"] \n  20 -> 39 [size =\"13195264\"]\n  21 [size=\"41879040\", alpha=\"0.15\", expect_size=\"16751616\"] \n  21 -> 40 [size =\"16751616\"]\n  22 [size=\"40693760\", alpha=\"0.07\", expect_size=\"16277504\"] \n  22 -> 33 [size =\"16277504\"]\n  22 -> 39 [size =\"16277504\"]\n  23 [size=\"20449280\", alpha=\"0.11\", expect_size=\"8179712\"] \n  23 -> 37 [size =\"8179712\"]\n  24 [size=\"123555840\", alpha=\"0.12\", expect_size=\"49422336\"] \n  24 -> 35 [size =\"49422336\"]\n  24 -> 37 [size =\"49422336\"]\n  24 -> 38 [size =\"49422336\"]\n  25 [size=\"22440960\", alpha=\"0.08\", expect_size=\"8976384\"] \n  25 -> 35 [size =\"8976384\"]\n  25 -> 37 [size =\"8976384\"]\n  25 -> 38 [size =\"8976384\"]\n  25 -> 39 [size =\"8976384\"]\n  26 [size=\"28142080\", alpha=\"0.11\", expect_size=\"11256832\"] \n  26 -> 34 [size =\"11256832\"]\n  26 -> 35 [size =\"11256832\"]\n  26 -> 38 [size =\"11256832\"]\n  26 -> 39 [size =\"11256832\"]\n  27 [size=\"91706880\", alpha=\"0.13\", expect_size=\"36682752\"] \n  27 -> 35 [size =\"36682752\"]\n  27 -> 36 [size =\"36682752\"]\n  27 -> 37 [size =\"36682752\"]\n  27 -> 38 [size =\"36682752\"]\n  28 [size=\"80942080\", alpha=\"0.18\", expect_size=\"32376832\"] \n  28 -> 34 [size =\"32376832\"]\n  28 -> 35 [size =\"32376832\"]\n  28 -> 36 [size =\"32376832\"]\n  28 -> 37 [size =\"32376832\"]\n  28 -> 38 [size =\"32376832\"]\n  29 [size=\"73561600\", alpha=\"0.18\", expect_size=\"29424640\"] \n  29 -> 40 [size =\"29424640\"]\n  30 [size=\"103738880\", alpha=\"0.16\", expect_size=\"41495552\"] \n  30 -> 39 [size =\"41495552\"]\n  31 [size=\"77570560\", alpha=\"0.04\", expect_size=\"31028224\"] \n  31 -> 35 [size =\"31028224\"]\n  31 -> 37 [size =\"31028224\"]\n  31 -> 39 [size =\"31028224\"]\n  31 -> 40 [size =\"31028224\"]\n  32 [size=\"46515200\", alpha=\"0.18\", expect_size=\"18606080\"] \n  32 -> 37 [size =\"18606080\"]\n  32 -> 38 [size =\"18606080\"]\n  33 [size=\"85772800\", alpha=\"0.00\", expect_size=\"34309120\"] \n  34 [size=\"35578880\", alpha=\"0.03\", expect_size=\"14231552\"] \n  35 [size=\"106406400\", alpha=\"0.05\", expect_size=\"42562560\"] \n  36 [size=\"33233920\", alpha=\"0.18\", expect_size=\"13293568\"] \n  37 [size=\"97978880\", alpha=\"0.18\", expect_size=\"39191552\"] \n  38 [size=\"58250240\", alpha=\"0.10\", expect_size=\"23300096\"] \n  39 [size=\"48122880\", alpha=\"0.20\", expect_size=\"19249152\"] \n  40 [size=\"38374400\", alpha=\"0.13\", expect_size=\"15349760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56660480\", alpha=\"0.20\", expect_size=\"22664192\"] \n  2 [size=\"40504320\", alpha=\"0.14\", expect_size=\"16201728\"] \n  2 -> 3 [size =\"16201728\"]\n  3 [size=\"17367040\", alpha=\"0.06\", expect_size=\"6946816\"] \n  3 -> 4 [size =\"6946816\"]\n  3 -> 5 [size =\"6946816\"]\n  3 -> 6 [size =\"6946816\"]\n  4 [size=\"49848320\", alpha=\"0.11\", expect_size=\"19939328\"] \n  4 -> 7 [size =\"19939328\"]\n  4 -> 9 [size =\"19939328\"]\n  4 -> 10 [size =\"19939328\"]\n  5 [size=\"21995520\", alpha=\"0.14\", expect_size=\"8798208\"] \n  5 -> 7 [size =\"8798208\"]\n  5 -> 9 [size =\"8798208\"]\n  5 -> 10 [size =\"8798208\"]\n  6 [size=\"43266560\", alpha=\"0.08\", expect_size=\"17306624\"] \n  6 -> 8 [size =\"17306624\"]\n  7 [size=\"24435200\", alpha=\"0.10\", expect_size=\"9774080\"] \n  7 -> 11 [size =\"9774080\"]\n  7 -> 12 [size =\"9774080\"]\n  8 [size=\"101171200\", alpha=\"0.01\", expect_size=\"40468480\"] \n  8 -> 12 [size =\"40468480\"]\n  9 [size=\"37724160\", alpha=\"0.15\", expect_size=\"15089664\"] \n  9 -> 11 [size =\"15089664\"]\n  10 [size=\"84659200\", alpha=\"0.16\", expect_size=\"33863680\"] \n  11 [size=\"31992320\", alpha=\"0.18\", expect_size=\"12796928\"] \n  12 [size=\"30167040\", alpha=\"0.08\", expect_size=\"12066816\"] \n  12 -> 13 [size =\"12066816\"]\n  13 [size=\"113441280\", alpha=\"0.15\", expect_size=\"45376512\"] \n  13 -> 14 [size =\"45376512\"]\n  13 -> 15 [size =\"45376512\"]\n  13 -> 16 [size =\"45376512\"]\n  14 [size=\"30448640\", alpha=\"0.06\", expect_size=\"12179456\"] \n  14 -> 17 [size =\"12179456\"]\n  14 -> 18 [size =\"12179456\"]\n  15 [size=\"95495680\", alpha=\"0.08\", expect_size=\"38198272\"] \n  15 -> 17 [size =\"38198272\"]\n  15 -> 18 [size =\"38198272\"]\n  16 [size=\"58984960\", alpha=\"0.12\", expect_size=\"23593984\"] \n  17 [size=\"104243200\", alpha=\"0.00\", expect_size=\"41697280\"] \n  17 -> 19 [size =\"41697280\"]\n  17 -> 21 [size =\"41697280\"]\n  18 [size=\"46525440\", alpha=\"0.15\", expect_size=\"18610176\"] \n  18 -> 19 [size =\"18610176\"]\n  18 -> 20 [size =\"18610176\"]\n  18 -> 21 [size =\"18610176\"]\n  19 [size=\"52776960\", alpha=\"0.08\", expect_size=\"21110784\"] \n  19 -> 22 [size =\"21110784\"]\n  19 -> 23 [size =\"21110784\"]\n  20 [size=\"25976320\", alpha=\"0.17\", expect_size=\"10390528\"] \n  20 -> 23 [size =\"10390528\"]\n  21 [size=\"117900800\", alpha=\"0.14\", expect_size=\"47160320\"] \n  22 [size=\"108072960\", alpha=\"0.15\", expect_size=\"43229184\"] \n  22 -> 24 [size =\"43229184\"]\n  22 -> 26 [size =\"43229184\"]\n  22 -> 27 [size =\"43229184\"]\n  23 [size=\"38947840\", alpha=\"0.17\", expect_size=\"15579136\"] \n  23 -> 25 [size =\"15579136\"]\n  23 -> 27 [size =\"15579136\"]\n  24 [size=\"128977920\", alpha=\"0.05\", expect_size=\"51591168\"] \n  24 -> 29 [size =\"51591168\"]\n  24 -> 30 [size =\"51591168\"]\n  25 [size=\"49111040\", alpha=\"0.15\", expect_size=\"19644416\"] \n  25 -> 28 [size =\"19644416\"]\n  26 [size=\"96378880\", alpha=\"0.09\", expect_size=\"38551552\"] \n  26 -> 28 [size =\"38551552\"]\n  27 [size=\"48407040\", alpha=\"0.06\", expect_size=\"19362816\"] \n  27 -> 29 [size =\"19362816\"]\n  28 [size=\"49187840\", alpha=\"0.18\", expect_size=\"19675136\"] \n  28 -> 31 [size =\"19675136\"]\n  28 -> 32 [size =\"19675136\"]\n  29 [size=\"22036480\", alpha=\"0.14\", expect_size=\"8814592\"] \n  29 -> 31 [size =\"8814592\"]\n  29 -> 32 [size =\"8814592\"]\n  30 [size=\"68551680\", alpha=\"0.02\", expect_size=\"27420672\"] \n  30 -> 31 [size =\"27420672\"]\n  31 [size=\"51312640\", alpha=\"0.13\", expect_size=\"20525056\"] \n  31 -> 33 [size =\"20525056\"]\n  31 -> 34 [size =\"20525056\"]\n  31 -> 35 [size =\"20525056\"]\n  31 -> 36 [size =\"20525056\"]\n  32 [size=\"13870080\", alpha=\"0.07\", expect_size=\"5548032\"] \n  32 -> 33 [size =\"5548032\"]\n  32 -> 35 [size =\"5548032\"]\n  33 [size=\"101591040\", alpha=\"0.18\", expect_size=\"40636416\"] \n  34 [size=\"82800640\", alpha=\"0.12\", expect_size=\"33120256\"] \n  34 -> 37 [size =\"33120256\"]\n  35 [size=\"112212480\", alpha=\"0.20\", expect_size=\"44884992\"] \n  36 [size=\"80750080\", alpha=\"0.16\", expect_size=\"32300032\"] \n  37 [size=\"18572800\", alpha=\"0.07\", expect_size=\"7429120\"] \n  37 -> 38 [size =\"7429120\"]\n  37 -> 39 [size =\"7429120\"]\n  37 -> 40 [size =\"7429120\"]\n  38 [size=\"54976000\", alpha=\"0.04\", expect_size=\"21990400\"] \n  39 [size=\"42096640\", alpha=\"0.07\", expect_size=\"16838656\"] \n  40 [size=\"122516480\", alpha=\"0.13\", expect_size=\"49006592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42151253\", alpha=\"0.11\", expect_size=\"12645376\"] \n  1 -> 3 [size =\"12645376\"]\n  1 -> 4 [size =\"12645376\"]\n  2 [size=\"116800853\", alpha=\"0.09\", expect_size=\"35040256\"] \n  2 -> 4 [size =\"35040256\"]\n  3 [size=\"29928107\", alpha=\"0.15\", expect_size=\"8978432\"] \n  3 -> 5 [size =\"8978432\"]\n  3 -> 6 [size =\"8978432\"]\n  4 [size=\"90617173\", alpha=\"0.05\", expect_size=\"27185152\"] \n  4 -> 5 [size =\"27185152\"]\n  4 -> 6 [size =\"27185152\"]\n  4 -> 7 [size =\"27185152\"]\n  5 [size=\"125801813\", alpha=\"0.13\", expect_size=\"37740544\"] \n  6 [size=\"37434027\", alpha=\"0.02\", expect_size=\"11230208\"] \n  6 -> 8 [size =\"11230208\"]\n  6 -> 9 [size =\"11230208\"]\n  7 [size=\"50831360\", alpha=\"0.10\", expect_size=\"15249408\"] \n  7 -> 8 [size =\"15249408\"]\n  8 [size=\"119371093\", alpha=\"0.12\", expect_size=\"35811328\"] \n  8 -> 10 [size =\"35811328\"]\n  8 -> 11 [size =\"35811328\"]\n  9 [size=\"99717120\", alpha=\"0.16\", expect_size=\"29915136\"] \n  9 -> 11 [size =\"29915136\"]\n  10 [size=\"89070933\", alpha=\"0.15\", expect_size=\"26721280\"] \n  10 -> 13 [size =\"26721280\"]\n  10 -> 14 [size =\"26721280\"]\n  11 [size=\"124422827\", alpha=\"0.02\", expect_size=\"37326848\"] \n  11 -> 12 [size =\"37326848\"]\n  11 -> 13 [size =\"37326848\"]\n  11 -> 14 [size =\"37326848\"]\n  12 [size=\"53101227\", alpha=\"0.08\", expect_size=\"15930368\"] \n  12 -> 16 [size =\"15930368\"]\n  13 [size=\"120777387\", alpha=\"0.03\", expect_size=\"36233216\"] \n  14 [size=\"82397867\", alpha=\"0.02\", expect_size=\"24719360\"] \n  14 -> 15 [size =\"24719360\"]\n  15 [size=\"120640853\", alpha=\"0.20\", expect_size=\"36192256\"] \n  15 -> 17 [size =\"36192256\"]\n  16 [size=\"63423147\", alpha=\"0.13\", expect_size=\"19026944\"] \n  16 -> 17 [size =\"19026944\"]\n  16 -> 18 [size =\"19026944\"]\n  17 [size=\"81029120\", alpha=\"0.18\", expect_size=\"24308736\"] \n  17 -> 19 [size =\"24308736\"]\n  17 -> 20 [size =\"24308736\"]\n  18 [size=\"156306773\", alpha=\"0.07\", expect_size=\"46892032\"] \n  18 -> 20 [size =\"46892032\"]\n  19 [size=\"93863253\", alpha=\"0.05\", expect_size=\"28158976\"] \n  19 -> 21 [size =\"28158976\"]\n  20 [size=\"61607253\", alpha=\"0.04\", expect_size=\"18482176\"] \n  20 -> 21 [size =\"18482176\"]\n  20 -> 22 [size =\"18482176\"]\n  21 [size=\"23456427\", alpha=\"0.05\", expect_size=\"7036928\"] \n  21 -> 23 [size =\"7036928\"]\n  22 [size=\"41734827\", alpha=\"0.20\", expect_size=\"12520448\"] \n  22 -> 23 [size =\"12520448\"]\n  22 -> 24 [size =\"12520448\"]\n  22 -> 25 [size =\"12520448\"]\n  23 [size=\"107182080\", alpha=\"0.15\", expect_size=\"32154624\"] \n  23 -> 26 [size =\"32154624\"]\n  24 [size=\"131495253\", alpha=\"0.00\", expect_size=\"39448576\"] \n  24 -> 27 [size =\"39448576\"]\n  25 [size=\"143544320\", alpha=\"0.19\", expect_size=\"43063296\"] \n  25 -> 27 [size =\"43063296\"]\n  25 -> 28 [size =\"43063296\"]\n  26 [size=\"139625813\", alpha=\"0.01\", expect_size=\"41887744\"] \n  26 -> 29 [size =\"41887744\"]\n  27 [size=\"87347200\", alpha=\"0.06\", expect_size=\"26204160\"] \n  27 -> 29 [size =\"26204160\"]\n  28 [size=\"75356160\", alpha=\"0.05\", expect_size=\"22606848\"] \n  28 -> 30 [size =\"22606848\"]\n  29 [size=\"126836053\", alpha=\"0.14\", expect_size=\"38050816\"] \n  29 -> 32 [size =\"38050816\"]\n  29 -> 33 [size =\"38050816\"]\n  30 [size=\"168936107\", alpha=\"0.12\", expect_size=\"50680832\"] \n  30 -> 31 [size =\"50680832\"]\n  30 -> 32 [size =\"50680832\"]\n  30 -> 33 [size =\"50680832\"]\n  31 [size=\"41499307\", alpha=\"0.04\", expect_size=\"12449792\"] \n  31 -> 34 [size =\"12449792\"]\n  31 -> 35 [size =\"12449792\"]\n  31 -> 36 [size =\"12449792\"]\n  32 [size=\"83780267\", alpha=\"0.00\", expect_size=\"25134080\"] \n  32 -> 34 [size =\"25134080\"]\n  33 [size=\"80530773\", alpha=\"0.10\", expect_size=\"24159232\"] \n  33 -> 35 [size =\"24159232\"]\n  34 [size=\"44206080\", alpha=\"0.07\", expect_size=\"13261824\"] \n  34 -> 39 [size =\"13261824\"]\n  35 [size=\"47947093\", alpha=\"0.18\", expect_size=\"14384128\"] \n  36 [size=\"42799787\", alpha=\"0.15\", expect_size=\"12839936\"] \n  36 -> 37 [size =\"12839936\"]\n  36 -> 38 [size =\"12839936\"]\n  37 [size=\"48718507\", alpha=\"0.20\", expect_size=\"14615552\"] \n  38 [size=\"99061760\", alpha=\"0.02\", expect_size=\"29718528\"] \n  38 -> 40 [size =\"29718528\"]\n  39 [size=\"138441387\", alpha=\"0.14\", expect_size=\"41532416\"] \n  39 -> 40 [size =\"41532416\"]\n  40 [size=\"91808427\", alpha=\"0.12\", expect_size=\"27542528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80299520\", alpha=\"0.18\", expect_size=\"32119808\"] \n  1 -> 10 [size =\"32119808\"]\n  2 [size=\"16545280\", alpha=\"0.02\", expect_size=\"6618112\"] \n  2 -> 10 [size =\"6618112\"]\n  3 [size=\"67870720\", alpha=\"0.06\", expect_size=\"27148288\"] \n  3 -> 9 [size =\"27148288\"]\n  3 -> 10 [size =\"27148288\"]\n  4 [size=\"67194880\", alpha=\"0.11\", expect_size=\"26877952\"] \n  4 -> 9 [size =\"26877952\"]\n  4 -> 12 [size =\"26877952\"]\n  5 [size=\"55426560\", alpha=\"0.11\", expect_size=\"22170624\"] \n  5 -> 10 [size =\"22170624\"]\n  6 [size=\"96184320\", alpha=\"0.04\", expect_size=\"38473728\"] \n  7 [size=\"84817920\", alpha=\"0.11\", expect_size=\"33927168\"] \n  7 -> 11 [size =\"33927168\"]\n  8 [size=\"30325760\", alpha=\"0.10\", expect_size=\"12130304\"] \n  8 -> 10 [size =\"12130304\"]\n  9 [size=\"51555840\", alpha=\"0.19\", expect_size=\"20622336\"] \n  9 -> 15 [size =\"20622336\"]\n  9 -> 16 [size =\"20622336\"]\n  10 [size=\"97605120\", alpha=\"0.18\", expect_size=\"39042048\"] \n  10 -> 13 [size =\"39042048\"]\n  11 [size=\"76912640\", alpha=\"0.06\", expect_size=\"30765056\"] \n  11 -> 14 [size =\"30765056\"]\n  12 [size=\"66063360\", alpha=\"0.04\", expect_size=\"26425344\"] \n  13 [size=\"77066240\", alpha=\"0.11\", expect_size=\"30826496\"] \n  13 -> 19 [size =\"30826496\"]\n  13 -> 20 [size =\"30826496\"]\n  13 -> 21 [size =\"30826496\"]\n  14 [size=\"109688320\", alpha=\"0.20\", expect_size=\"43875328\"] \n  14 -> 19 [size =\"43875328\"]\n  14 -> 20 [size =\"43875328\"]\n  14 -> 21 [size =\"43875328\"]\n  15 [size=\"55511040\", alpha=\"0.04\", expect_size=\"22204416\"] \n  15 -> 17 [size =\"22204416\"]\n  15 -> 20 [size =\"22204416\"]\n  16 [size=\"120325120\", alpha=\"0.03\", expect_size=\"48130048\"] \n  16 -> 17 [size =\"48130048\"]\n  16 -> 18 [size =\"48130048\"]\n  16 -> 19 [size =\"48130048\"]\n  17 [size=\"26805760\", alpha=\"0.14\", expect_size=\"10722304\"] \n  17 -> 22 [size =\"10722304\"]\n  17 -> 23 [size =\"10722304\"]\n  17 -> 24 [size =\"10722304\"]\n  17 -> 25 [size =\"10722304\"]\n  17 -> 26 [size =\"10722304\"]\n  18 [size=\"90173440\", alpha=\"0.09\", expect_size=\"36069376\"] \n  18 -> 22 [size =\"36069376\"]\n  18 -> 23 [size =\"36069376\"]\n  18 -> 24 [size =\"36069376\"]\n  18 -> 25 [size =\"36069376\"]\n  19 [size=\"32273920\", alpha=\"0.09\", expect_size=\"12909568\"] \n  19 -> 24 [size =\"12909568\"]\n  19 -> 26 [size =\"12909568\"]\n  20 [size=\"26360320\", alpha=\"0.13\", expect_size=\"10544128\"] \n  21 [size=\"15183360\", alpha=\"0.09\", expect_size=\"6073344\"] \n  21 -> 22 [size =\"6073344\"]\n  21 -> 23 [size =\"6073344\"]\n  21 -> 25 [size =\"6073344\"]\n  22 [size=\"49456640\", alpha=\"0.05\", expect_size=\"19782656\"] \n  22 -> 28 [size =\"19782656\"]\n  22 -> 29 [size =\"19782656\"]\n  22 -> 30 [size =\"19782656\"]\n  23 [size=\"72427520\", alpha=\"0.10\", expect_size=\"28971008\"] \n  23 -> 28 [size =\"28971008\"]\n  23 -> 29 [size =\"28971008\"]\n  24 [size=\"18900480\", alpha=\"0.05\", expect_size=\"7560192\"] \n  25 [size=\"18536960\", alpha=\"0.07\", expect_size=\"7414784\"] \n  25 -> 27 [size =\"7414784\"]\n  25 -> 29 [size =\"7414784\"]\n  25 -> 30 [size =\"7414784\"]\n  26 [size=\"44989440\", alpha=\"0.03\", expect_size=\"17995776\"] \n  26 -> 28 [size =\"17995776\"]\n  27 [size=\"64936960\", alpha=\"0.11\", expect_size=\"25974784\"] \n  28 [size=\"29383680\", alpha=\"0.01\", expect_size=\"11753472\"] \n  28 -> 32 [size =\"11753472\"]\n  28 -> 34 [size =\"11753472\"]\n  28 -> 36 [size =\"11753472\"]\n  29 [size=\"84815360\", alpha=\"0.19\", expect_size=\"33926144\"] \n  29 -> 31 [size =\"33926144\"]\n  29 -> 37 [size =\"33926144\"]\n  29 -> 38 [size =\"33926144\"]\n  30 [size=\"19642880\", alpha=\"0.11\", expect_size=\"7857152\"] \n  30 -> 33 [size =\"7857152\"]\n  30 -> 34 [size =\"7857152\"]\n  30 -> 35 [size =\"7857152\"]\n  31 [size=\"97054720\", alpha=\"0.13\", expect_size=\"38821888\"] \n  32 [size=\"30348800\", alpha=\"0.05\", expect_size=\"12139520\"] \n  33 [size=\"58895360\", alpha=\"0.07\", expect_size=\"23558144\"] \n  33 -> 40 [size =\"23558144\"]\n  34 [size=\"119495680\", alpha=\"0.06\", expect_size=\"47798272\"] \n  35 [size=\"30305280\", alpha=\"0.12\", expect_size=\"12122112\"] \n  35 -> 40 [size =\"12122112\"]\n  36 [size=\"69580800\", alpha=\"0.16\", expect_size=\"27832320\"] \n  37 [size=\"84464640\", alpha=\"0.03\", expect_size=\"33785856\"] \n  37 -> 39 [size =\"33785856\"]\n  38 [size=\"28710400\", alpha=\"0.02\", expect_size=\"11484160\"] \n  38 -> 40 [size =\"11484160\"]\n  39 [size=\"37498880\", alpha=\"0.05\", expect_size=\"14999552\"] \n  40 [size=\"31316480\", alpha=\"0.10\", expect_size=\"12526592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85836800\", alpha=\"0.04\", expect_size=\"34334720\"] \n  1 -> 28 [size =\"34334720\"]\n  1 -> 30 [size =\"34334720\"]\n  1 -> 31 [size =\"34334720\"]\n  1 -> 34 [size =\"34334720\"]\n  2 [size=\"118848000\", alpha=\"0.04\", expect_size=\"47539200\"] \n  2 -> 30 [size =\"47539200\"]\n  2 -> 35 [size =\"47539200\"]\n  2 -> 38 [size =\"47539200\"]\n  3 [size=\"129845760\", alpha=\"0.09\", expect_size=\"51938304\"] \n  3 -> 28 [size =\"51938304\"]\n  3 -> 29 [size =\"51938304\"]\n  3 -> 30 [size =\"51938304\"]\n  3 -> 31 [size =\"51938304\"]\n  3 -> 34 [size =\"51938304\"]\n  3 -> 36 [size =\"51938304\"]\n  4 [size=\"74352640\", alpha=\"0.15\", expect_size=\"29741056\"] \n  4 -> 29 [size =\"29741056\"]\n  4 -> 34 [size =\"29741056\"]\n  4 -> 37 [size =\"29741056\"]\n  4 -> 38 [size =\"29741056\"]\n  4 -> 40 [size =\"29741056\"]\n  5 [size=\"124515840\", alpha=\"0.07\", expect_size=\"49806336\"] \n  5 -> 28 [size =\"49806336\"]\n  5 -> 29 [size =\"49806336\"]\n  5 -> 32 [size =\"49806336\"]\n  5 -> 34 [size =\"49806336\"]\n  5 -> 35 [size =\"49806336\"]\n  5 -> 36 [size =\"49806336\"]\n  6 [size=\"102507520\", alpha=\"0.11\", expect_size=\"41003008\"] \n  6 -> 30 [size =\"41003008\"]\n  6 -> 31 [size =\"41003008\"]\n  6 -> 34 [size =\"41003008\"]\n  6 -> 35 [size =\"41003008\"]\n  6 -> 35 [size =\"41003008\"]\n  6 -> 36 [size =\"41003008\"]\n  7 [size=\"22991360\", alpha=\"0.13\", expect_size=\"9196544\"] \n  7 -> 28 [size =\"9196544\"]\n  7 -> 33 [size =\"9196544\"]\n  7 -> 34 [size =\"9196544\"]\n  7 -> 36 [size =\"9196544\"]\n  7 -> 38 [size =\"9196544\"]\n  7 -> 40 [size =\"9196544\"]\n  8 [size=\"51709440\", alpha=\"0.03\", expect_size=\"20683776\"] \n  8 -> 31 [size =\"20683776\"]\n  8 -> 33 [size =\"20683776\"]\n  8 -> 34 [size =\"20683776\"]\n  8 -> 36 [size =\"20683776\"]\n  8 -> 38 [size =\"20683776\"]\n  9 [size=\"101432320\", alpha=\"0.06\", expect_size=\"40572928\"] \n  9 -> 29 [size =\"40572928\"]\n  9 -> 30 [size =\"40572928\"]\n  9 -> 32 [size =\"40572928\"]\n  9 -> 34 [size =\"40572928\"]\n  9 -> 35 [size =\"40572928\"]\n  9 -> 36 [size =\"40572928\"]\n  10 [size=\"84037120\", alpha=\"0.17\", expect_size=\"33614848\"] \n  10 -> 28 [size =\"33614848\"]\n  10 -> 29 [size =\"33614848\"]\n  10 -> 30 [size =\"33614848\"]\n  10 -> 34 [size =\"33614848\"]\n  10 -> 36 [size =\"33614848\"]\n  10 -> 36 [size =\"33614848\"]\n  10 -> 40 [size =\"33614848\"]\n  11 [size=\"15828480\", alpha=\"0.06\", expect_size=\"6331392\"] \n  11 -> 28 [size =\"6331392\"]\n  11 -> 29 [size =\"6331392\"]\n  11 -> 30 [size =\"6331392\"]\n  11 -> 31 [size =\"6331392\"]\n  11 -> 32 [size =\"6331392\"]\n  11 -> 33 [size =\"6331392\"]\n  11 -> 34 [size =\"6331392\"]\n  11 -> 36 [size =\"6331392\"]\n  12 [size=\"38886400\", alpha=\"0.16\", expect_size=\"15554560\"] \n  12 -> 29 [size =\"15554560\"]\n  12 -> 31 [size =\"15554560\"]\n  12 -> 36 [size =\"15554560\"]\n  12 -> 38 [size =\"15554560\"]\n  13 [size=\"64028160\", alpha=\"0.09\", expect_size=\"25611264\"] \n  13 -> 28 [size =\"25611264\"]\n  13 -> 30 [size =\"25611264\"]\n  13 -> 35 [size =\"25611264\"]\n  13 -> 36 [size =\"25611264\"]\n  13 -> 38 [size =\"25611264\"]\n  14 [size=\"115985920\", alpha=\"0.01\", expect_size=\"46394368\"] \n  14 -> 28 [size =\"46394368\"]\n  14 -> 30 [size =\"46394368\"]\n  14 -> 31 [size =\"46394368\"]\n  14 -> 36 [size =\"46394368\"]\n  14 -> 38 [size =\"46394368\"]\n  15 [size=\"86871040\", alpha=\"0.06\", expect_size=\"34748416\"] \n  15 -> 28 [size =\"34748416\"]\n  15 -> 29 [size =\"34748416\"]\n  15 -> 30 [size =\"34748416\"]\n  15 -> 31 [size =\"34748416\"]\n  15 -> 34 [size =\"34748416\"]\n  15 -> 36 [size =\"34748416\"]\n  15 -> 37 [size =\"34748416\"]\n  15 -> 38 [size =\"34748416\"]\n  15 -> 40 [size =\"34748416\"]\n  16 [size=\"125406720\", alpha=\"0.17\", expect_size=\"50162688\"] \n  16 -> 28 [size =\"50162688\"]\n  16 -> 30 [size =\"50162688\"]\n  16 -> 31 [size =\"50162688\"]\n  16 -> 31 [size =\"50162688\"]\n  16 -> 33 [size =\"50162688\"]\n  16 -> 34 [size =\"50162688\"]\n  16 -> 35 [size =\"50162688\"]\n  16 -> 40 [size =\"50162688\"]\n  17 [size=\"70243840\", alpha=\"0.20\", expect_size=\"28097536\"] \n  17 -> 28 [size =\"28097536\"]\n  17 -> 29 [size =\"28097536\"]\n  17 -> 31 [size =\"28097536\"]\n  17 -> 32 [size =\"28097536\"]\n  17 -> 33 [size =\"28097536\"]\n  17 -> 34 [size =\"28097536\"]\n  17 -> 35 [size =\"28097536\"]\n  17 -> 36 [size =\"28097536\"]\n  18 [size=\"30714880\", alpha=\"0.12\", expect_size=\"12285952\"] \n  18 -> 28 [size =\"12285952\"]\n  18 -> 29 [size =\"12285952\"]\n  18 -> 33 [size =\"12285952\"]\n  18 -> 35 [size =\"12285952\"]\n  18 -> 37 [size =\"12285952\"]\n  18 -> 40 [size =\"12285952\"]\n  19 [size=\"48793600\", alpha=\"0.05\", expect_size=\"19517440\"] \n  19 -> 28 [size =\"19517440\"]\n  19 -> 29 [size =\"19517440\"]\n  19 -> 34 [size =\"19517440\"]\n  19 -> 35 [size =\"19517440\"]\n  19 -> 37 [size =\"19517440\"]\n  19 -> 38 [size =\"19517440\"]\n  19 -> 39 [size =\"19517440\"]\n  20 [size=\"87019520\", alpha=\"0.07\", expect_size=\"34807808\"] \n  20 -> 28 [size =\"34807808\"]\n  20 -> 34 [size =\"34807808\"]\n  20 -> 35 [size =\"34807808\"]\n  20 -> 39 [size =\"34807808\"]\n  21 [size=\"71979520\", alpha=\"0.02\", expect_size=\"28791808\"] \n  21 -> 28 [size =\"28791808\"]\n  21 -> 34 [size =\"28791808\"]\n  21 -> 35 [size =\"28791808\"]\n  21 -> 37 [size =\"28791808\"]\n  22 [size=\"104424960\", alpha=\"0.15\", expect_size=\"41769984\"] \n  22 -> 34 [size =\"41769984\"]\n  22 -> 34 [size =\"41769984\"]\n  22 -> 35 [size =\"41769984\"]\n  22 -> 37 [size =\"41769984\"]\n  22 -> 38 [size =\"41769984\"]\n  23 [size=\"82634240\", alpha=\"0.08\", expect_size=\"33053696\"] \n  23 -> 31 [size =\"33053696\"]\n  23 -> 34 [size =\"33053696\"]\n  23 -> 35 [size =\"33053696\"]\n  23 -> 37 [size =\"33053696\"]\n  23 -> 38 [size =\"33053696\"]\n  24 [size=\"18549760\", alpha=\"0.11\", expect_size=\"7419904\"] \n  24 -> 30 [size =\"7419904\"]\n  24 -> 31 [size =\"7419904\"]\n  24 -> 34 [size =\"7419904\"]\n  24 -> 35 [size =\"7419904\"]\n  24 -> 36 [size =\"7419904\"]\n  24 -> 37 [size =\"7419904\"]\n  25 [size=\"26513920\", alpha=\"0.13\", expect_size=\"10605568\"] \n  25 -> 29 [size =\"10605568\"]\n  25 -> 34 [size =\"10605568\"]\n  25 -> 34 [size =\"10605568\"]\n  25 -> 35 [size =\"10605568\"]\n  25 -> 36 [size =\"10605568\"]\n  25 -> 38 [size =\"10605568\"]\n  25 -> 40 [size =\"10605568\"]\n  26 [size=\"62039040\", alpha=\"0.10\", expect_size=\"24815616\"] \n  26 -> 31 [size =\"24815616\"]\n  26 -> 32 [size =\"24815616\"]\n  26 -> 34 [size =\"24815616\"]\n  26 -> 35 [size =\"24815616\"]\n  26 -> 36 [size =\"24815616\"]\n  26 -> 38 [size =\"24815616\"]\n  27 [size=\"42641920\", alpha=\"0.09\", expect_size=\"17056768\"] \n  27 -> 28 [size =\"17056768\"]\n  27 -> 32 [size =\"17056768\"]\n  27 -> 33 [size =\"17056768\"]\n  27 -> 34 [size =\"17056768\"]\n  27 -> 35 [size =\"17056768\"]\n  28 [size=\"40368640\", alpha=\"0.14\", expect_size=\"16147456\"] \n  29 [size=\"113602560\", alpha=\"0.14\", expect_size=\"45441024\"] \n  30 [size=\"24514560\", alpha=\"0.06\", expect_size=\"9805824\"] \n  31 [size=\"68638720\", alpha=\"0.19\", expect_size=\"27455488\"] \n  32 [size=\"82780160\", alpha=\"0.16\", expect_size=\"33112064\"] \n  33 [size=\"54712320\", alpha=\"0.02\", expect_size=\"21884928\"] \n  34 [size=\"101176320\", alpha=\"0.05\", expect_size=\"40470528\"] \n  35 [size=\"47488000\", alpha=\"0.01\", expect_size=\"18995200\"] \n  36 [size=\"123020800\", alpha=\"0.16\", expect_size=\"49208320\"] \n  37 [size=\"63285760\", alpha=\"0.00\", expect_size=\"25314304\"] \n  38 [size=\"114096640\", alpha=\"0.08\", expect_size=\"45638656\"] \n  39 [size=\"78120960\", alpha=\"0.01\", expect_size=\"31248384\"] \n  40 [size=\"43691520\", alpha=\"0.07\", expect_size=\"17476608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16688640\", alpha=\"0.00\", expect_size=\"6675456\"] \n  1 -> 2 [size =\"6675456\"]\n  2 [size=\"104755200\", alpha=\"0.15\", expect_size=\"41902080\"] \n  2 -> 3 [size =\"41902080\"]\n  2 -> 4 [size =\"41902080\"]\n  2 -> 5 [size =\"41902080\"]\n  3 [size=\"61754880\", alpha=\"0.01\", expect_size=\"24701952\"] \n  3 -> 6 [size =\"24701952\"]\n  3 -> 7 [size =\"24701952\"]\n  4 [size=\"112775680\", alpha=\"0.11\", expect_size=\"45110272\"] \n  4 -> 7 [size =\"45110272\"]\n  5 [size=\"13570560\", alpha=\"0.14\", expect_size=\"5428224\"] \n  5 -> 6 [size =\"5428224\"]\n  5 -> 7 [size =\"5428224\"]\n  6 [size=\"31777280\", alpha=\"0.01\", expect_size=\"12710912\"] \n  6 -> 8 [size =\"12710912\"]\n  6 -> 10 [size =\"12710912\"]\n  6 -> 11 [size =\"12710912\"]\n  7 [size=\"30574080\", alpha=\"0.03\", expect_size=\"12229632\"] \n  7 -> 9 [size =\"12229632\"]\n  7 -> 10 [size =\"12229632\"]\n  8 [size=\"41095680\", alpha=\"0.11\", expect_size=\"16438272\"] \n  8 -> 12 [size =\"16438272\"]\n  9 [size=\"36180480\", alpha=\"0.07\", expect_size=\"14472192\"] \n  9 -> 12 [size =\"14472192\"]\n  10 [size=\"82926080\", alpha=\"0.09\", expect_size=\"33170432\"] \n  10 -> 12 [size =\"33170432\"]\n  11 [size=\"125063680\", alpha=\"0.11\", expect_size=\"50025472\"] \n  11 -> 12 [size =\"50025472\"]\n  12 [size=\"125199360\", alpha=\"0.12\", expect_size=\"50079744\"] \n  12 -> 13 [size =\"50079744\"]\n  13 [size=\"96143360\", alpha=\"0.08\", expect_size=\"38457344\"] \n  13 -> 14 [size =\"38457344\"]\n  14 [size=\"104156160\", alpha=\"0.01\", expect_size=\"41662464\"] \n  14 -> 15 [size =\"41662464\"]\n  14 -> 16 [size =\"41662464\"]\n  14 -> 17 [size =\"41662464\"]\n  14 -> 18 [size =\"41662464\"]\n  15 [size=\"53908480\", alpha=\"0.10\", expect_size=\"21563392\"] \n  15 -> 19 [size =\"21563392\"]\n  16 [size=\"17607680\", alpha=\"0.09\", expect_size=\"7043072\"] \n  16 -> 19 [size =\"7043072\"]\n  16 -> 20 [size =\"7043072\"]\n  17 [size=\"23339520\", alpha=\"0.09\", expect_size=\"9335808\"] \n  17 -> 19 [size =\"9335808\"]\n  18 [size=\"42675200\", alpha=\"0.07\", expect_size=\"17070080\"] \n  18 -> 19 [size =\"17070080\"]\n  19 [size=\"107507200\", alpha=\"0.05\", expect_size=\"43002880\"] \n  19 -> 22 [size =\"43002880\"]\n  19 -> 23 [size =\"43002880\"]\n  19 -> 24 [size =\"43002880\"]\n  20 [size=\"31106560\", alpha=\"0.01\", expect_size=\"12442624\"] \n  20 -> 21 [size =\"12442624\"]\n  20 -> 23 [size =\"12442624\"]\n  20 -> 24 [size =\"12442624\"]\n  21 [size=\"84221440\", alpha=\"0.17\", expect_size=\"33688576\"] \n  21 -> 26 [size =\"33688576\"]\n  21 -> 27 [size =\"33688576\"]\n  21 -> 28 [size =\"33688576\"]\n  22 [size=\"30730240\", alpha=\"0.09\", expect_size=\"12292096\"] \n  22 -> 28 [size =\"12292096\"]\n  23 [size=\"99476480\", alpha=\"0.09\", expect_size=\"39790592\"] \n  23 -> 25 [size =\"39790592\"]\n  23 -> 26 [size =\"39790592\"]\n  23 -> 27 [size =\"39790592\"]\n  23 -> 28 [size =\"39790592\"]\n  24 [size=\"26961920\", alpha=\"0.06\", expect_size=\"10784768\"] \n  24 -> 25 [size =\"10784768\"]\n  24 -> 26 [size =\"10784768\"]\n  24 -> 27 [size =\"10784768\"]\n  24 -> 28 [size =\"10784768\"]\n  25 [size=\"34470400\", alpha=\"0.03\", expect_size=\"13788160\"] \n  25 -> 30 [size =\"13788160\"]\n  26 [size=\"93667840\", alpha=\"0.04\", expect_size=\"37467136\"] \n  26 -> 30 [size =\"37467136\"]\n  26 -> 31 [size =\"37467136\"]\n  27 [size=\"29493760\", alpha=\"0.07\", expect_size=\"11797504\"] \n  27 -> 29 [size =\"11797504\"]\n  27 -> 30 [size =\"11797504\"]\n  27 -> 31 [size =\"11797504\"]\n  28 [size=\"83614720\", alpha=\"0.15\", expect_size=\"33445888\"] \n  28 -> 30 [size =\"33445888\"]\n  28 -> 31 [size =\"33445888\"]\n  29 [size=\"125552640\", alpha=\"0.07\", expect_size=\"50221056\"] \n  29 -> 32 [size =\"50221056\"]\n  30 [size=\"36208640\", alpha=\"0.11\", expect_size=\"14483456\"] \n  30 -> 32 [size =\"14483456\"]\n  30 -> 33 [size =\"14483456\"]\n  31 [size=\"39961600\", alpha=\"0.13\", expect_size=\"15984640\"] \n  31 -> 32 [size =\"15984640\"]\n  32 [size=\"22428160\", alpha=\"0.15\", expect_size=\"8971264\"] \n  32 -> 34 [size =\"8971264\"]\n  32 -> 35 [size =\"8971264\"]\n  32 -> 36 [size =\"8971264\"]\n  32 -> 37 [size =\"8971264\"]\n  33 [size=\"75261440\", alpha=\"0.11\", expect_size=\"30104576\"] \n  33 -> 34 [size =\"30104576\"]\n  33 -> 35 [size =\"30104576\"]\n  34 [size=\"129139200\", alpha=\"0.02\", expect_size=\"51655680\"] \n  34 -> 38 [size =\"51655680\"]\n  35 [size=\"47805440\", alpha=\"0.01\", expect_size=\"19122176\"] \n  35 -> 38 [size =\"19122176\"]\n  36 [size=\"67653120\", alpha=\"0.20\", expect_size=\"27061248\"] \n  37 [size=\"89384960\", alpha=\"0.00\", expect_size=\"35753984\"] \n  38 [size=\"130472960\", alpha=\"0.06\", expect_size=\"52189184\"] \n  38 -> 39 [size =\"52189184\"]\n  38 -> 40 [size =\"52189184\"]\n  39 [size=\"100940800\", alpha=\"0.08\", expect_size=\"40376320\"] \n  40 [size=\"23861760\", alpha=\"0.12\", expect_size=\"9544704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20736000\", alpha=\"0.11\", expect_size=\"6220800\"] \n  1 -> 6 [size =\"6220800\"]\n  2 [size=\"172796587\", alpha=\"0.19\", expect_size=\"51838976\"] \n  2 -> 5 [size =\"51838976\"]\n  3 [size=\"119848960\", alpha=\"0.13\", expect_size=\"35954688\"] \n  3 -> 6 [size =\"35954688\"]\n  4 [size=\"59880107\", alpha=\"0.05\", expect_size=\"17964032\"] \n  4 -> 5 [size =\"17964032\"]\n  4 -> 6 [size =\"17964032\"]\n  5 [size=\"29938347\", alpha=\"0.03\", expect_size=\"8981504\"] \n  5 -> 7 [size =\"8981504\"]\n  5 -> 8 [size =\"8981504\"]\n  5 -> 9 [size =\"8981504\"]\n  6 [size=\"46168747\", alpha=\"0.12\", expect_size=\"13850624\"] \n  6 -> 7 [size =\"13850624\"]\n  7 [size=\"144291840\", alpha=\"0.09\", expect_size=\"43287552\"] \n  8 [size=\"64587093\", alpha=\"0.03\", expect_size=\"19376128\"] \n  8 -> 10 [size =\"19376128\"]\n  8 -> 11 [size =\"19376128\"]\n  9 [size=\"65880747\", alpha=\"0.03\", expect_size=\"19764224\"] \n  9 -> 10 [size =\"19764224\"]\n  9 -> 11 [size =\"19764224\"]\n  10 [size=\"115889493\", alpha=\"0.13\", expect_size=\"34766848\"] \n  10 -> 12 [size =\"34766848\"]\n  10 -> 13 [size =\"34766848\"]\n  10 -> 14 [size =\"34766848\"]\n  11 [size=\"98495147\", alpha=\"0.07\", expect_size=\"29548544\"] \n  11 -> 13 [size =\"29548544\"]\n  11 -> 14 [size =\"29548544\"]\n  11 -> 15 [size =\"29548544\"]\n  12 [size=\"29822293\", alpha=\"0.03\", expect_size=\"8946688\"] \n  12 -> 16 [size =\"8946688\"]\n  13 [size=\"18254507\", alpha=\"0.17\", expect_size=\"5476352\"] \n  13 -> 16 [size =\"5476352\"]\n  13 -> 17 [size =\"5476352\"]\n  14 [size=\"122009600\", alpha=\"0.07\", expect_size=\"36602880\"] \n  14 -> 17 [size =\"36602880\"]\n  15 [size=\"164420267\", alpha=\"0.02\", expect_size=\"49326080\"] \n  16 [size=\"28654933\", alpha=\"0.14\", expect_size=\"8596480\"] \n  16 -> 18 [size =\"8596480\"]\n  16 -> 19 [size =\"8596480\"]\n  16 -> 20 [size =\"8596480\"]\n  17 [size=\"125733547\", alpha=\"0.16\", expect_size=\"37720064\"] \n  17 -> 19 [size =\"37720064\"]\n  17 -> 20 [size =\"37720064\"]\n  17 -> 21 [size =\"37720064\"]\n  18 [size=\"43130880\", alpha=\"0.15\", expect_size=\"12939264\"] \n  19 [size=\"67290453\", alpha=\"0.04\", expect_size=\"20187136\"] \n  19 -> 22 [size =\"20187136\"]\n  19 -> 23 [size =\"20187136\"]\n  19 -> 24 [size =\"20187136\"]\n  20 [size=\"87784107\", alpha=\"0.16\", expect_size=\"26335232\"] \n  20 -> 22 [size =\"26335232\"]\n  20 -> 23 [size =\"26335232\"]\n  21 [size=\"29480960\", alpha=\"0.09\", expect_size=\"8844288\"] \n  22 [size=\"84353707\", alpha=\"0.01\", expect_size=\"25306112\"] \n  22 -> 25 [size =\"25306112\"]\n  23 [size=\"111520427\", alpha=\"0.06\", expect_size=\"33456128\"] \n  23 -> 25 [size =\"33456128\"]\n  24 [size=\"84961280\", alpha=\"0.16\", expect_size=\"25488384\"] \n  25 [size=\"141096960\", alpha=\"0.08\", expect_size=\"42329088\"] \n  25 -> 26 [size =\"42329088\"]\n  25 -> 27 [size =\"42329088\"]\n  25 -> 28 [size =\"42329088\"]\n  26 [size=\"159279787\", alpha=\"0.04\", expect_size=\"47783936\"] \n  26 -> 30 [size =\"47783936\"]\n  26 -> 32 [size =\"47783936\"]\n  27 [size=\"113636693\", alpha=\"0.16\", expect_size=\"34091008\"] \n  27 -> 29 [size =\"34091008\"]\n  27 -> 30 [size =\"34091008\"]\n  27 -> 31 [size =\"34091008\"]\n  27 -> 32 [size =\"34091008\"]\n  28 [size=\"82408107\", alpha=\"0.14\", expect_size=\"24722432\"] \n  29 [size=\"40215893\", alpha=\"0.18\", expect_size=\"12064768\"] \n  30 [size=\"74659840\", alpha=\"0.14\", expect_size=\"22397952\"] \n  30 -> 33 [size =\"22397952\"]\n  31 [size=\"45441707\", alpha=\"0.01\", expect_size=\"13632512\"] \n  31 -> 34 [size =\"13632512\"]\n  32 [size=\"113104213\", alpha=\"0.09\", expect_size=\"33931264\"] \n  32 -> 33 [size =\"33931264\"]\n  33 [size=\"118398293\", alpha=\"0.18\", expect_size=\"35519488\"] \n  34 [size=\"163696640\", alpha=\"0.20\", expect_size=\"49108992\"] \n  34 -> 35 [size =\"49108992\"]\n  35 [size=\"134120107\", alpha=\"0.00\", expect_size=\"40236032\"] \n  35 -> 36 [size =\"40236032\"]\n  35 -> 37 [size =\"40236032\"]\n  36 [size=\"42127360\", alpha=\"0.02\", expect_size=\"12638208\"] \n  36 -> 38 [size =\"12638208\"]\n  36 -> 39 [size =\"12638208\"]\n  37 [size=\"73697280\", alpha=\"0.18\", expect_size=\"22109184\"] \n  37 -> 40 [size =\"22109184\"]\n  38 [size=\"41079467\", alpha=\"0.16\", expect_size=\"12323840\"] \n  39 [size=\"148664320\", alpha=\"0.02\", expect_size=\"44599296\"] \n  40 [size=\"130290347\", alpha=\"0.16\", expect_size=\"39087104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79325184\", alpha=\"0.11\", expect_size=\"39662592\"] \n  1 -> 15 [size =\"39662592\"]\n  1 -> 17 [size =\"39662592\"]\n  1 -> 18 [size =\"39662592\"]\n  1 -> 20 [size =\"39662592\"]\n  2 [size=\"83480576\", alpha=\"0.05\", expect_size=\"41740288\"] \n  2 -> 18 [size =\"41740288\"]\n  2 -> 19 [size =\"41740288\"]\n  2 -> 20 [size =\"41740288\"]\n  2 -> 21 [size =\"41740288\"]\n  3 [size=\"57788416\", alpha=\"0.08\", expect_size=\"28894208\"] \n  3 -> 14 [size =\"28894208\"]\n  3 -> 15 [size =\"28894208\"]\n  3 -> 16 [size =\"28894208\"]\n  3 -> 20 [size =\"28894208\"]\n  3 -> 22 [size =\"28894208\"]\n  3 -> 23 [size =\"28894208\"]\n  3 -> 24 [size =\"28894208\"]\n  4 [size=\"20805632\", alpha=\"0.09\", expect_size=\"10402816\"] \n  4 -> 14 [size =\"10402816\"]\n  4 -> 15 [size =\"10402816\"]\n  4 -> 22 [size =\"10402816\"]\n  5 [size=\"66242560\", alpha=\"0.08\", expect_size=\"33121280\"] \n  5 -> 14 [size =\"33121280\"]\n  5 -> 15 [size =\"33121280\"]\n  5 -> 22 [size =\"33121280\"]\n  5 -> 25 [size =\"33121280\"]\n  6 [size=\"25315328\", alpha=\"0.15\", expect_size=\"12657664\"] \n  6 -> 14 [size =\"12657664\"]\n  6 -> 15 [size =\"12657664\"]\n  6 -> 17 [size =\"12657664\"]\n  6 -> 22 [size =\"12657664\"]\n  6 -> 23 [size =\"12657664\"]\n  6 -> 24 [size =\"12657664\"]\n  6 -> 25 [size =\"12657664\"]\n  7 [size=\"17590272\", alpha=\"0.15\", expect_size=\"8795136\"] \n  7 -> 14 [size =\"8795136\"]\n  7 -> 17 [size =\"8795136\"]\n  7 -> 17 [size =\"8795136\"]\n  7 -> 21 [size =\"8795136\"]\n  8 [size=\"57436160\", alpha=\"0.19\", expect_size=\"28718080\"] \n  8 -> 14 [size =\"28718080\"]\n  8 -> 15 [size =\"28718080\"]\n  8 -> 20 [size =\"28718080\"]\n  8 -> 24 [size =\"28718080\"]\n  9 [size=\"100980736\", alpha=\"0.18\", expect_size=\"50490368\"] \n  9 -> 20 [size =\"50490368\"]\n  10 [size=\"58933248\", alpha=\"0.03\", expect_size=\"29466624\"] \n  10 -> 14 [size =\"29466624\"]\n  10 -> 22 [size =\"29466624\"]\n  10 -> 24 [size =\"29466624\"]\n  11 [size=\"24958976\", alpha=\"0.02\", expect_size=\"12479488\"] \n  11 -> 14 [size =\"12479488\"]\n  11 -> 15 [size =\"12479488\"]\n  11 -> 17 [size =\"12479488\"]\n  11 -> 19 [size =\"12479488\"]\n  11 -> 22 [size =\"12479488\"]\n  11 -> 23 [size =\"12479488\"]\n  12 [size=\"78112768\", alpha=\"0.04\", expect_size=\"39056384\"] \n  12 -> 15 [size =\"39056384\"]\n  12 -> 17 [size =\"39056384\"]\n  12 -> 18 [size =\"39056384\"]\n  12 -> 19 [size =\"39056384\"]\n  12 -> 22 [size =\"39056384\"]\n  13 [size=\"99721216\", alpha=\"0.07\", expect_size=\"49860608\"] \n  13 -> 15 [size =\"49860608\"]\n  13 -> 17 [size =\"49860608\"]\n  13 -> 18 [size =\"49860608\"]\n  13 -> 22 [size =\"49860608\"]\n  13 -> 24 [size =\"49860608\"]\n  14 [size=\"44369920\", alpha=\"0.14\", expect_size=\"22184960\"] \n  14 -> 27 [size =\"22184960\"]\n  14 -> 28 [size =\"22184960\"]\n  14 -> 29 [size =\"22184960\"]\n  14 -> 35 [size =\"22184960\"]\n  15 [size=\"86181888\", alpha=\"0.16\", expect_size=\"43090944\"] \n  15 -> 27 [size =\"43090944\"]\n  15 -> 28 [size =\"43090944\"]\n  15 -> 34 [size =\"43090944\"]\n  15 -> 36 [size =\"43090944\"]\n  15 -> 37 [size =\"43090944\"]\n  16 [size=\"27410432\", alpha=\"0.08\", expect_size=\"13705216\"] \n  16 -> 27 [size =\"13705216\"]\n  16 -> 28 [size =\"13705216\"]\n  16 -> 31 [size =\"13705216\"]\n  16 -> 32 [size =\"13705216\"]\n  16 -> 33 [size =\"13705216\"]\n  17 [size=\"99403776\", alpha=\"0.16\", expect_size=\"49701888\"] \n  17 -> 28 [size =\"49701888\"]\n  17 -> 28 [size =\"49701888\"]\n  17 -> 29 [size =\"49701888\"]\n  17 -> 30 [size =\"49701888\"]\n  17 -> 33 [size =\"49701888\"]\n  18 [size=\"74170368\", alpha=\"0.10\", expect_size=\"37085184\"] \n  18 -> 28 [size =\"37085184\"]\n  18 -> 32 [size =\"37085184\"]\n  18 -> 36 [size =\"37085184\"]\n  18 -> 37 [size =\"37085184\"]\n  19 [size=\"71751680\", alpha=\"0.05\", expect_size=\"35875840\"] \n  19 -> 27 [size =\"35875840\"]\n  19 -> 30 [size =\"35875840\"]\n  19 -> 32 [size =\"35875840\"]\n  19 -> 33 [size =\"35875840\"]\n  19 -> 34 [size =\"35875840\"]\n  19 -> 37 [size =\"35875840\"]\n  20 [size=\"64110592\", alpha=\"0.07\", expect_size=\"32055296\"] \n  20 -> 29 [size =\"32055296\"]\n  20 -> 32 [size =\"32055296\"]\n  20 -> 37 [size =\"32055296\"]\n  21 [size=\"78139392\", alpha=\"0.03\", expect_size=\"39069696\"] \n  21 -> 27 [size =\"39069696\"]\n  21 -> 29 [size =\"39069696\"]\n  21 -> 31 [size =\"39069696\"]\n  21 -> 32 [size =\"39069696\"]\n  21 -> 34 [size =\"39069696\"]\n  21 -> 36 [size =\"39069696\"]\n  22 [size=\"86093824\", alpha=\"0.15\", expect_size=\"43046912\"] \n  22 -> 27 [size =\"43046912\"]\n  22 -> 28 [size =\"43046912\"]\n  22 -> 29 [size =\"43046912\"]\n  22 -> 31 [size =\"43046912\"]\n  22 -> 32 [size =\"43046912\"]\n  22 -> 34 [size =\"43046912\"]\n  23 [size=\"11032576\", alpha=\"0.17\", expect_size=\"5516288\"] \n  23 -> 27 [size =\"5516288\"]\n  23 -> 28 [size =\"5516288\"]\n  23 -> 29 [size =\"5516288\"]\n  23 -> 30 [size =\"5516288\"]\n  23 -> 31 [size =\"5516288\"]\n  23 -> 32 [size =\"5516288\"]\n  23 -> 34 [size =\"5516288\"]\n  23 -> 36 [size =\"5516288\"]\n  23 -> 37 [size =\"5516288\"]\n  24 [size=\"43870208\", alpha=\"0.01\", expect_size=\"21935104\"] \n  24 -> 26 [size =\"21935104\"]\n  24 -> 27 [size =\"21935104\"]\n  24 -> 28 [size =\"21935104\"]\n  24 -> 29 [size =\"21935104\"]\n  24 -> 31 [size =\"21935104\"]\n  24 -> 32 [size =\"21935104\"]\n  24 -> 34 [size =\"21935104\"]\n  24 -> 37 [size =\"21935104\"]\n  25 [size=\"17713152\", alpha=\"0.17\", expect_size=\"8856576\"] \n  25 -> 29 [size =\"8856576\"]\n  25 -> 30 [size =\"8856576\"]\n  25 -> 34 [size =\"8856576\"]\n  26 [size=\"94902272\", alpha=\"0.16\", expect_size=\"47451136\"] \n  26 -> 38 [size =\"47451136\"]\n  26 -> 39 [size =\"47451136\"]\n  26 -> 40 [size =\"47451136\"]\n  27 [size=\"37660672\", alpha=\"0.16\", expect_size=\"18830336\"] \n  27 -> 39 [size =\"18830336\"]\n  27 -> 39 [size =\"18830336\"]\n  27 -> 40 [size =\"18830336\"]\n  28 [size=\"18905088\", alpha=\"0.06\", expect_size=\"9452544\"] \n  28 -> 39 [size =\"9452544\"]\n  28 -> 40 [size =\"9452544\"]\n  28 -> 40 [size =\"9452544\"]\n  29 [size=\"65929216\", alpha=\"0.16\", expect_size=\"32964608\"] \n  29 -> 38 [size =\"32964608\"]\n  29 -> 39 [size =\"32964608\"]\n  30 [size=\"91705344\", alpha=\"0.16\", expect_size=\"45852672\"] \n  30 -> 38 [size =\"45852672\"]\n  31 [size=\"31080448\", alpha=\"0.19\", expect_size=\"15540224\"] \n  31 -> 38 [size =\"15540224\"]\n  31 -> 40 [size =\"15540224\"]\n  32 [size=\"47265792\", alpha=\"0.16\", expect_size=\"23632896\"] \n  32 -> 40 [size =\"23632896\"]\n  33 [size=\"24514560\", alpha=\"0.12\", expect_size=\"12257280\"] \n  33 -> 38 [size =\"12257280\"]\n  33 -> 39 [size =\"12257280\"]\n  33 -> 40 [size =\"12257280\"]\n  34 [size=\"104501248\", alpha=\"0.15\", expect_size=\"52250624\"] \n  34 -> 39 [size =\"52250624\"]\n  35 [size=\"14432256\", alpha=\"0.15\", expect_size=\"7216128\"] \n  35 -> 38 [size =\"7216128\"]\n  36 [size=\"93179904\", alpha=\"0.18\", expect_size=\"46589952\"] \n  36 -> 38 [size =\"46589952\"]\n  36 -> 39 [size =\"46589952\"]\n  37 [size=\"72460288\", alpha=\"0.19\", expect_size=\"36230144\"] \n  37 -> 38 [size =\"36230144\"]\n  37 -> 40 [size =\"36230144\"]\n  38 [size=\"53747712\", alpha=\"0.15\", expect_size=\"26873856\"] \n  39 [size=\"83994624\", alpha=\"0.03\", expect_size=\"41997312\"] \n  40 [size=\"64952320\", alpha=\"0.03\", expect_size=\"32476160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71185067\", alpha=\"0.12\", expect_size=\"21355520\"] \n  1 -> 29 [size =\"21355520\"]\n  1 -> 31 [size =\"21355520\"]\n  1 -> 32 [size =\"21355520\"]\n  1 -> 35 [size =\"21355520\"]\n  1 -> 36 [size =\"21355520\"]\n  1 -> 39 [size =\"21355520\"]\n  2 [size=\"156685653\", alpha=\"0.17\", expect_size=\"47005696\"] \n  2 -> 30 [size =\"47005696\"]\n  2 -> 31 [size =\"47005696\"]\n  2 -> 32 [size =\"47005696\"]\n  2 -> 33 [size =\"47005696\"]\n  2 -> 39 [size =\"47005696\"]\n  2 -> 39 [size =\"47005696\"]\n  2 -> 40 [size =\"47005696\"]\n  3 [size=\"55313067\", alpha=\"0.01\", expect_size=\"16593920\"] \n  3 -> 29 [size =\"16593920\"]\n  3 -> 32 [size =\"16593920\"]\n  3 -> 32 [size =\"16593920\"]\n  3 -> 33 [size =\"16593920\"]\n  3 -> 38 [size =\"16593920\"]\n  3 -> 39 [size =\"16593920\"]\n  4 [size=\"92682240\", alpha=\"0.04\", expect_size=\"27804672\"] \n  4 -> 29 [size =\"27804672\"]\n  4 -> 32 [size =\"27804672\"]\n  4 -> 34 [size =\"27804672\"]\n  4 -> 35 [size =\"27804672\"]\n  4 -> 36 [size =\"27804672\"]\n  4 -> 37 [size =\"27804672\"]\n  4 -> 38 [size =\"27804672\"]\n  4 -> 39 [size =\"27804672\"]\n  5 [size=\"154501120\", alpha=\"0.19\", expect_size=\"46350336\"] \n  5 -> 29 [size =\"46350336\"]\n  5 -> 30 [size =\"46350336\"]\n  5 -> 32 [size =\"46350336\"]\n  5 -> 34 [size =\"46350336\"]\n  5 -> 35 [size =\"46350336\"]\n  5 -> 36 [size =\"46350336\"]\n  5 -> 37 [size =\"46350336\"]\n  5 -> 39 [size =\"46350336\"]\n  6 [size=\"118005760\", alpha=\"0.10\", expect_size=\"35401728\"] \n  6 -> 29 [size =\"35401728\"]\n  6 -> 31 [size =\"35401728\"]\n  6 -> 33 [size =\"35401728\"]\n  6 -> 39 [size =\"35401728\"]\n  7 [size=\"133655893\", alpha=\"0.20\", expect_size=\"40096768\"] \n  7 -> 29 [size =\"40096768\"]\n  7 -> 33 [size =\"40096768\"]\n  7 -> 36 [size =\"40096768\"]\n  7 -> 37 [size =\"40096768\"]\n  7 -> 39 [size =\"40096768\"]\n  8 [size=\"123149653\", alpha=\"0.10\", expect_size=\"36944896\"] \n  8 -> 31 [size =\"36944896\"]\n  8 -> 33 [size =\"36944896\"]\n  8 -> 35 [size =\"36944896\"]\n  8 -> 39 [size =\"36944896\"]\n  8 -> 39 [size =\"36944896\"]\n  9 [size=\"118507520\", alpha=\"0.03\", expect_size=\"35552256\"] \n  9 -> 33 [size =\"35552256\"]\n  9 -> 35 [size =\"35552256\"]\n  9 -> 36 [size =\"35552256\"]\n  9 -> 37 [size =\"35552256\"]\n  9 -> 39 [size =\"35552256\"]\n  10 [size=\"164232533\", alpha=\"0.19\", expect_size=\"49269760\"] \n  10 -> 29 [size =\"49269760\"]\n  10 -> 36 [size =\"49269760\"]\n  11 [size=\"107816960\", alpha=\"0.05\", expect_size=\"32345088\"] \n  11 -> 32 [size =\"32345088\"]\n  11 -> 33 [size =\"32345088\"]\n  11 -> 35 [size =\"32345088\"]\n  11 -> 37 [size =\"32345088\"]\n  11 -> 38 [size =\"32345088\"]\n  12 [size=\"45547520\", alpha=\"0.01\", expect_size=\"13664256\"] \n  12 -> 29 [size =\"13664256\"]\n  12 -> 37 [size =\"13664256\"]\n  12 -> 38 [size =\"13664256\"]\n  13 [size=\"25309867\", alpha=\"0.19\", expect_size=\"7592960\"] \n  13 -> 29 [size =\"7592960\"]\n  13 -> 31 [size =\"7592960\"]\n  13 -> 33 [size =\"7592960\"]\n  13 -> 35 [size =\"7592960\"]\n  13 -> 39 [size =\"7592960\"]\n  14 [size=\"29938347\", alpha=\"0.13\", expect_size=\"8981504\"] \n  14 -> 29 [size =\"8981504\"]\n  14 -> 32 [size =\"8981504\"]\n  14 -> 33 [size =\"8981504\"]\n  14 -> 35 [size =\"8981504\"]\n  14 -> 36 [size =\"8981504\"]\n  14 -> 37 [size =\"8981504\"]\n  15 [size=\"65157120\", alpha=\"0.11\", expect_size=\"19547136\"] \n  15 -> 29 [size =\"19547136\"]\n  15 -> 33 [size =\"19547136\"]\n  15 -> 34 [size =\"19547136\"]\n  15 -> 35 [size =\"19547136\"]\n  15 -> 36 [size =\"19547136\"]\n  15 -> 37 [size =\"19547136\"]\n  15 -> 38 [size =\"19547136\"]\n  15 -> 40 [size =\"19547136\"]\n  16 [size=\"59989333\", alpha=\"0.06\", expect_size=\"17996800\"] \n  16 -> 29 [size =\"17996800\"]\n  16 -> 33 [size =\"17996800\"]\n  16 -> 35 [size =\"17996800\"]\n  16 -> 35 [size =\"17996800\"]\n  16 -> 37 [size =\"17996800\"]\n  16 -> 38 [size =\"17996800\"]\n  16 -> 40 [size =\"17996800\"]\n  17 [size=\"138072747\", alpha=\"0.14\", expect_size=\"41421824\"] \n  17 -> 29 [size =\"41421824\"]\n  17 -> 31 [size =\"41421824\"]\n  17 -> 32 [size =\"41421824\"]\n  17 -> 35 [size =\"41421824\"]\n  17 -> 36 [size =\"41421824\"]\n  17 -> 37 [size =\"41421824\"]\n  17 -> 39 [size =\"41421824\"]\n  17 -> 40 [size =\"41421824\"]\n  18 [size=\"138004480\", alpha=\"0.08\", expect_size=\"41401344\"] \n  18 -> 29 [size =\"41401344\"]\n  18 -> 32 [size =\"41401344\"]\n  18 -> 35 [size =\"41401344\"]\n  18 -> 36 [size =\"41401344\"]\n  18 -> 37 [size =\"41401344\"]\n  18 -> 40 [size =\"41401344\"]\n  19 [size=\"55968427\", alpha=\"0.06\", expect_size=\"16790528\"] \n  19 -> 29 [size =\"16790528\"]\n  19 -> 32 [size =\"16790528\"]\n  19 -> 35 [size =\"16790528\"]\n  19 -> 37 [size =\"16790528\"]\n  19 -> 40 [size =\"16790528\"]\n  20 [size=\"82804053\", alpha=\"0.10\", expect_size=\"24841216\"] \n  20 -> 29 [size =\"24841216\"]\n  20 -> 31 [size =\"24841216\"]\n  20 -> 35 [size =\"24841216\"]\n  20 -> 37 [size =\"24841216\"]\n  20 -> 38 [size =\"24841216\"]\n  20 -> 40 [size =\"24841216\"]\n  21 [size=\"74472107\", alpha=\"0.00\", expect_size=\"22341632\"] \n  21 -> 29 [size =\"22341632\"]\n  21 -> 36 [size =\"22341632\"]\n  21 -> 37 [size =\"22341632\"]\n  21 -> 38 [size =\"22341632\"]\n  21 -> 40 [size =\"22341632\"]\n  22 [size=\"111199573\", alpha=\"0.09\", expect_size=\"33359872\"] \n  22 -> 29 [size =\"33359872\"]\n  22 -> 31 [size =\"33359872\"]\n  22 -> 37 [size =\"33359872\"]\n  22 -> 38 [size =\"33359872\"]\n  22 -> 39 [size =\"33359872\"]\n  23 [size=\"115333120\", alpha=\"0.02\", expect_size=\"34599936\"] \n  23 -> 29 [size =\"34599936\"]\n  23 -> 32 [size =\"34599936\"]\n  23 -> 33 [size =\"34599936\"]\n  23 -> 35 [size =\"34599936\"]\n  23 -> 37 [size =\"34599936\"]\n  23 -> 38 [size =\"34599936\"]\n  23 -> 39 [size =\"34599936\"]\n  24 [size=\"104901973\", alpha=\"0.04\", expect_size=\"31470592\"] \n  24 -> 29 [size =\"31470592\"]\n  24 -> 31 [size =\"31470592\"]\n  24 -> 33 [size =\"31470592\"]\n  24 -> 35 [size =\"31470592\"]\n  24 -> 37 [size =\"31470592\"]\n  24 -> 38 [size =\"31470592\"]\n  24 -> 39 [size =\"31470592\"]\n  25 [size=\"51537920\", alpha=\"0.04\", expect_size=\"15461376\"] \n  25 -> 29 [size =\"15461376\"]\n  25 -> 33 [size =\"15461376\"]\n  25 -> 33 [size =\"15461376\"]\n  25 -> 35 [size =\"15461376\"]\n  25 -> 37 [size =\"15461376\"]\n  25 -> 38 [size =\"15461376\"]\n  25 -> 39 [size =\"15461376\"]\n  26 [size=\"135877973\", alpha=\"0.17\", expect_size=\"40763392\"] \n  26 -> 29 [size =\"40763392\"]\n  26 -> 33 [size =\"40763392\"]\n  26 -> 34 [size =\"40763392\"]\n  26 -> 35 [size =\"40763392\"]\n  26 -> 37 [size =\"40763392\"]\n  26 -> 38 [size =\"40763392\"]\n  27 [size=\"28262400\", alpha=\"0.05\", expect_size=\"8478720\"] \n  27 -> 29 [size =\"8478720\"]\n  27 -> 33 [size =\"8478720\"]\n  27 -> 35 [size =\"8478720\"]\n  27 -> 37 [size =\"8478720\"]\n  27 -> 37 [size =\"8478720\"]\n  28 [size=\"139369813\", alpha=\"0.06\", expect_size=\"41810944\"] \n  28 -> 29 [size =\"41810944\"]\n  28 -> 32 [size =\"41810944\"]\n  28 -> 37 [size =\"41810944\"]\n  28 -> 37 [size =\"41810944\"]\n  29 [size=\"48360107\", alpha=\"0.20\", expect_size=\"14508032\"] \n  30 [size=\"97843200\", alpha=\"0.12\", expect_size=\"29352960\"] \n  31 [size=\"19049813\", alpha=\"0.16\", expect_size=\"5714944\"] \n  32 [size=\"22975147\", alpha=\"0.04\", expect_size=\"6892544\"] \n  33 [size=\"91549013\", alpha=\"0.12\", expect_size=\"27464704\"] \n  34 [size=\"105318400\", alpha=\"0.02\", expect_size=\"31595520\"] \n  35 [size=\"139492693\", alpha=\"0.19\", expect_size=\"41847808\"] \n  36 [size=\"173810347\", alpha=\"0.00\", expect_size=\"52143104\"] \n  37 [size=\"151521280\", alpha=\"0.17\", expect_size=\"45456384\"] \n  38 [size=\"31518720\", alpha=\"0.10\", expect_size=\"9455616\"] \n  39 [size=\"76765867\", alpha=\"0.07\", expect_size=\"23029760\"] \n  40 [size=\"73721173\", alpha=\"0.12\", expect_size=\"22116352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52379648\", alpha=\"0.19\", expect_size=\"26189824\"] \n  1 -> 28 [size =\"26189824\"]\n  1 -> 29 [size =\"26189824\"]\n  2 [size=\"41003008\", alpha=\"0.19\", expect_size=\"20501504\"] \n  2 -> 35 [size =\"20501504\"]\n  2 -> 38 [size =\"20501504\"]\n  2 -> 39 [size =\"20501504\"]\n  2 -> 40 [size =\"20501504\"]\n  3 [size=\"43286528\", alpha=\"0.01\", expect_size=\"21643264\"] \n  3 -> 28 [size =\"21643264\"]\n  3 -> 31 [size =\"21643264\"]\n  3 -> 34 [size =\"21643264\"]\n  3 -> 38 [size =\"21643264\"]\n  3 -> 39 [size =\"21643264\"]\n  3 -> 40 [size =\"21643264\"]\n  4 [size=\"85716992\", alpha=\"0.06\", expect_size=\"42858496\"] \n  4 -> 34 [size =\"42858496\"]\n  4 -> 35 [size =\"42858496\"]\n  4 -> 38 [size =\"42858496\"]\n  5 [size=\"43388928\", alpha=\"0.06\", expect_size=\"21694464\"] \n  5 -> 27 [size =\"21694464\"]\n  5 -> 28 [size =\"21694464\"]\n  5 -> 32 [size =\"21694464\"]\n  5 -> 37 [size =\"21694464\"]\n  6 [size=\"72839168\", alpha=\"0.06\", expect_size=\"36419584\"] \n  6 -> 28 [size =\"36419584\"]\n  6 -> 29 [size =\"36419584\"]\n  6 -> 32 [size =\"36419584\"]\n  6 -> 34 [size =\"36419584\"]\n  6 -> 36 [size =\"36419584\"]\n  6 -> 37 [size =\"36419584\"]\n  6 -> 38 [size =\"36419584\"]\n  7 [size=\"93046784\", alpha=\"0.08\", expect_size=\"46523392\"] \n  7 -> 28 [size =\"46523392\"]\n  7 -> 29 [size =\"46523392\"]\n  7 -> 32 [size =\"46523392\"]\n  7 -> 34 [size =\"46523392\"]\n  7 -> 37 [size =\"46523392\"]\n  7 -> 37 [size =\"46523392\"]\n  7 -> 38 [size =\"46523392\"]\n  7 -> 40 [size =\"46523392\"]\n  8 [size=\"95760384\", alpha=\"0.18\", expect_size=\"47880192\"] \n  8 -> 29 [size =\"47880192\"]\n  8 -> 32 [size =\"47880192\"]\n  8 -> 33 [size =\"47880192\"]\n  8 -> 37 [size =\"47880192\"]\n  9 [size=\"62287872\", alpha=\"0.17\", expect_size=\"31143936\"] \n  9 -> 29 [size =\"31143936\"]\n  9 -> 33 [size =\"31143936\"]\n  9 -> 35 [size =\"31143936\"]\n  9 -> 36 [size =\"31143936\"]\n  9 -> 38 [size =\"31143936\"]\n  10 [size=\"14698496\", alpha=\"0.06\", expect_size=\"7349248\"] \n  10 -> 27 [size =\"7349248\"]\n  10 -> 29 [size =\"7349248\"]\n  10 -> 30 [size =\"7349248\"]\n  10 -> 34 [size =\"7349248\"]\n  10 -> 37 [size =\"7349248\"]\n  10 -> 40 [size =\"7349248\"]\n  11 [size=\"58447872\", alpha=\"0.15\", expect_size=\"29223936\"] \n  11 -> 27 [size =\"29223936\"]\n  11 -> 33 [size =\"29223936\"]\n  11 -> 40 [size =\"29223936\"]\n  12 [size=\"55363584\", alpha=\"0.15\", expect_size=\"27681792\"] \n  12 -> 27 [size =\"27681792\"]\n  12 -> 30 [size =\"27681792\"]\n  12 -> 35 [size =\"27681792\"]\n  12 -> 37 [size =\"27681792\"]\n  12 -> 38 [size =\"27681792\"]\n  12 -> 39 [size =\"27681792\"]\n  13 [size=\"51154944\", alpha=\"0.16\", expect_size=\"25577472\"] \n  13 -> 27 [size =\"25577472\"]\n  13 -> 28 [size =\"25577472\"]\n  13 -> 30 [size =\"25577472\"]\n  13 -> 35 [size =\"25577472\"]\n  13 -> 37 [size =\"25577472\"]\n  14 [size=\"55023616\", alpha=\"0.07\", expect_size=\"27511808\"] \n  14 -> 27 [size =\"27511808\"]\n  14 -> 28 [size =\"27511808\"]\n  14 -> 29 [size =\"27511808\"]\n  14 -> 30 [size =\"27511808\"]\n  14 -> 31 [size =\"27511808\"]\n  14 -> 33 [size =\"27511808\"]\n  14 -> 34 [size =\"27511808\"]\n  14 -> 35 [size =\"27511808\"]\n  14 -> 38 [size =\"27511808\"]\n  14 -> 39 [size =\"27511808\"]\n  15 [size=\"85075968\", alpha=\"0.13\", expect_size=\"42537984\"] \n  15 -> 28 [size =\"42537984\"]\n  15 -> 30 [size =\"42537984\"]\n  15 -> 33 [size =\"42537984\"]\n  15 -> 38 [size =\"42537984\"]\n  15 -> 39 [size =\"42537984\"]\n  15 -> 40 [size =\"42537984\"]\n  16 [size=\"20840448\", alpha=\"0.06\", expect_size=\"10420224\"] \n  16 -> 30 [size =\"10420224\"]\n  16 -> 36 [size =\"10420224\"]\n  16 -> 38 [size =\"10420224\"]\n  16 -> 38 [size =\"10420224\"]\n  17 [size=\"49793024\", alpha=\"0.15\", expect_size=\"24896512\"] \n  17 -> 34 [size =\"24896512\"]\n  17 -> 36 [size =\"24896512\"]\n  17 -> 38 [size =\"24896512\"]\n  18 [size=\"86511616\", alpha=\"0.09\", expect_size=\"43255808\"] \n  18 -> 27 [size =\"43255808\"]\n  18 -> 28 [size =\"43255808\"]\n  18 -> 32 [size =\"43255808\"]\n  18 -> 33 [size =\"43255808\"]\n  18 -> 35 [size =\"43255808\"]\n  18 -> 36 [size =\"43255808\"]\n  18 -> 38 [size =\"43255808\"]\n  19 [size=\"78743552\", alpha=\"0.14\", expect_size=\"39371776\"] \n  19 -> 27 [size =\"39371776\"]\n  19 -> 28 [size =\"39371776\"]\n  19 -> 29 [size =\"39371776\"]\n  19 -> 36 [size =\"39371776\"]\n  19 -> 38 [size =\"39371776\"]\n  20 [size=\"62932992\", alpha=\"0.12\", expect_size=\"31466496\"] \n  20 -> 27 [size =\"31466496\"]\n  20 -> 28 [size =\"31466496\"]\n  20 -> 29 [size =\"31466496\"]\n  20 -> 33 [size =\"31466496\"]\n  21 [size=\"93237248\", alpha=\"0.19\", expect_size=\"46618624\"] \n  21 -> 27 [size =\"46618624\"]\n  21 -> 32 [size =\"46618624\"]\n  21 -> 33 [size =\"46618624\"]\n  21 -> 34 [size =\"46618624\"]\n  21 -> 37 [size =\"46618624\"]\n  21 -> 38 [size =\"46618624\"]\n  22 [size=\"68933632\", alpha=\"0.12\", expect_size=\"34466816\"] \n  22 -> 27 [size =\"34466816\"]\n  22 -> 31 [size =\"34466816\"]\n  22 -> 32 [size =\"34466816\"]\n  23 [size=\"45451264\", alpha=\"0.12\", expect_size=\"22725632\"] \n  23 -> 28 [size =\"22725632\"]\n  23 -> 31 [size =\"22725632\"]\n  23 -> 34 [size =\"22725632\"]\n  23 -> 36 [size =\"22725632\"]\n  23 -> 39 [size =\"22725632\"]\n  23 -> 40 [size =\"22725632\"]\n  24 [size=\"28545024\", alpha=\"0.09\", expect_size=\"14272512\"] \n  24 -> 28 [size =\"14272512\"]\n  24 -> 31 [size =\"14272512\"]\n  24 -> 37 [size =\"14272512\"]\n  24 -> 38 [size =\"14272512\"]\n  25 [size=\"60850176\", alpha=\"0.12\", expect_size=\"30425088\"] \n  25 -> 27 [size =\"30425088\"]\n  25 -> 28 [size =\"30425088\"]\n  25 -> 35 [size =\"30425088\"]\n  25 -> 37 [size =\"30425088\"]\n  25 -> 40 [size =\"30425088\"]\n  26 [size=\"25716736\", alpha=\"0.08\", expect_size=\"12858368\"] \n  26 -> 27 [size =\"12858368\"]\n  26 -> 28 [size =\"12858368\"]\n  26 -> 29 [size =\"12858368\"]\n  26 -> 31 [size =\"12858368\"]\n  26 -> 37 [size =\"12858368\"]\n  26 -> 40 [size =\"12858368\"]\n  27 [size=\"52430848\", alpha=\"0.02\", expect_size=\"26215424\"] \n  28 [size=\"30720000\", alpha=\"0.14\", expect_size=\"15360000\"] \n  29 [size=\"71317504\", alpha=\"0.17\", expect_size=\"35658752\"] \n  30 [size=\"42860544\", alpha=\"0.01\", expect_size=\"21430272\"] \n  31 [size=\"99166208\", alpha=\"0.15\", expect_size=\"49583104\"] \n  32 [size=\"93384704\", alpha=\"0.18\", expect_size=\"46692352\"] \n  33 [size=\"56033280\", alpha=\"0.10\", expect_size=\"28016640\"] \n  34 [size=\"19914752\", alpha=\"0.12\", expect_size=\"9957376\"] \n  35 [size=\"60262400\", alpha=\"0.09\", expect_size=\"30131200\"] \n  36 [size=\"21233664\", alpha=\"0.09\", expect_size=\"10616832\"] \n  37 [size=\"59559936\", alpha=\"0.17\", expect_size=\"29779968\"] \n  38 [size=\"69056512\", alpha=\"0.01\", expect_size=\"34528256\"] \n  39 [size=\"40628224\", alpha=\"0.19\", expect_size=\"20314112\"] \n  40 [size=\"26077184\", alpha=\"0.09\", expect_size=\"13038592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24313856\", alpha=\"0.02\", expect_size=\"12156928\"] \n  2 [size=\"40130560\", alpha=\"0.13\", expect_size=\"20065280\"] \n  2 -> 4 [size =\"20065280\"]\n  3 [size=\"48201728\", alpha=\"0.04\", expect_size=\"24100864\"] \n  3 -> 4 [size =\"24100864\"]\n  3 -> 5 [size =\"24100864\"]\n  4 [size=\"14790656\", alpha=\"0.13\", expect_size=\"7395328\"] \n  4 -> 6 [size =\"7395328\"]\n  5 [size=\"81881088\", alpha=\"0.14\", expect_size=\"40940544\"] \n  6 [size=\"88317952\", alpha=\"0.20\", expect_size=\"44158976\"] \n  6 -> 7 [size =\"44158976\"]\n  7 [size=\"16459776\", alpha=\"0.09\", expect_size=\"8229888\"] \n  7 -> 8 [size =\"8229888\"]\n  7 -> 9 [size =\"8229888\"]\n  8 [size=\"87074816\", alpha=\"0.02\", expect_size=\"43537408\"] \n  9 [size=\"24326144\", alpha=\"0.18\", expect_size=\"12163072\"] \n  9 -> 10 [size =\"12163072\"]\n  9 -> 11 [size =\"12163072\"]\n  10 [size=\"92049408\", alpha=\"0.13\", expect_size=\"46024704\"] \n  10 -> 13 [size =\"46024704\"]\n  11 [size=\"97447936\", alpha=\"0.13\", expect_size=\"48723968\"] \n  11 -> 12 [size =\"48723968\"]\n  12 [size=\"13795328\", alpha=\"0.06\", expect_size=\"6897664\"] \n  12 -> 14 [size =\"6897664\"]\n  13 [size=\"74285056\", alpha=\"0.16\", expect_size=\"37142528\"] \n  14 [size=\"91715584\", alpha=\"0.10\", expect_size=\"45857792\"] \n  14 -> 15 [size =\"45857792\"]\n  14 -> 16 [size =\"45857792\"]\n  15 [size=\"59641856\", alpha=\"0.10\", expect_size=\"29820928\"] \n  16 [size=\"32708608\", alpha=\"0.17\", expect_size=\"16354304\"] \n  16 -> 17 [size =\"16354304\"]\n  16 -> 18 [size =\"16354304\"]\n  16 -> 19 [size =\"16354304\"]\n  17 [size=\"31373312\", alpha=\"0.04\", expect_size=\"15686656\"] \n  17 -> 20 [size =\"15686656\"]\n  18 [size=\"74006528\", alpha=\"0.14\", expect_size=\"37003264\"] \n  18 -> 20 [size =\"37003264\"]\n  19 [size=\"81694720\", alpha=\"0.11\", expect_size=\"40847360\"] \n  20 [size=\"74496000\", alpha=\"0.13\", expect_size=\"37248000\"] \n  20 -> 21 [size =\"37248000\"]\n  20 -> 22 [size =\"37248000\"]\n  20 -> 23 [size =\"37248000\"]\n  21 [size=\"39139328\", alpha=\"0.18\", expect_size=\"19569664\"] \n  21 -> 24 [size =\"19569664\"]\n  21 -> 25 [size =\"19569664\"]\n  22 [size=\"101394432\", alpha=\"0.09\", expect_size=\"50697216\"] \n  22 -> 24 [size =\"50697216\"]\n  23 [size=\"37521408\", alpha=\"0.08\", expect_size=\"18760704\"] \n  24 [size=\"19851264\", alpha=\"0.07\", expect_size=\"9925632\"] \n  24 -> 26 [size =\"9925632\"]\n  24 -> 27 [size =\"9925632\"]\n  25 [size=\"68024320\", alpha=\"0.02\", expect_size=\"34012160\"] \n  25 -> 26 [size =\"34012160\"]\n  26 [size=\"21121024\", alpha=\"0.14\", expect_size=\"10560512\"] \n  26 -> 28 [size =\"10560512\"]\n  26 -> 29 [size =\"10560512\"]\n  26 -> 30 [size =\"10560512\"]\n  26 -> 31 [size =\"10560512\"]\n  27 [size=\"100120576\", alpha=\"0.06\", expect_size=\"50060288\"] \n  27 -> 29 [size =\"50060288\"]\n  27 -> 30 [size =\"50060288\"]\n  28 [size=\"26902528\", alpha=\"0.15\", expect_size=\"13451264\"] \n  29 [size=\"91097088\", alpha=\"0.07\", expect_size=\"45548544\"] \n  29 -> 32 [size =\"45548544\"]\n  30 [size=\"50448384\", alpha=\"0.16\", expect_size=\"25224192\"] \n  30 -> 33 [size =\"25224192\"]\n  30 -> 34 [size =\"25224192\"]\n  31 [size=\"17809408\", alpha=\"0.04\", expect_size=\"8904704\"] \n  31 -> 34 [size =\"8904704\"]\n  32 [size=\"101382144\", alpha=\"0.12\", expect_size=\"50691072\"] \n  32 -> 36 [size =\"50691072\"]\n  33 [size=\"47699968\", alpha=\"0.14\", expect_size=\"23849984\"] \n  34 [size=\"83216384\", alpha=\"0.13\", expect_size=\"41608192\"] \n  34 -> 35 [size =\"41608192\"]\n  34 -> 36 [size =\"41608192\"]\n  35 [size=\"23498752\", alpha=\"0.03\", expect_size=\"11749376\"] \n  35 -> 37 [size =\"11749376\"]\n  35 -> 38 [size =\"11749376\"]\n  35 -> 39 [size =\"11749376\"]\n  36 [size=\"34314240\", alpha=\"0.17\", expect_size=\"17157120\"] \n  36 -> 38 [size =\"17157120\"]\n  36 -> 39 [size =\"17157120\"]\n  37 [size=\"99123200\", alpha=\"0.15\", expect_size=\"49561600\"] \n  37 -> 40 [size =\"49561600\"]\n  38 [size=\"35158016\", alpha=\"0.07\", expect_size=\"17579008\"] \n  39 [size=\"13379584\", alpha=\"0.14\", expect_size=\"6689792\"] \n  39 -> 40 [size =\"6689792\"]\n  40 [size=\"47630336\", alpha=\"0.15\", expect_size=\"23815168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65081344\", alpha=\"0.15\", expect_size=\"32540672\"] \n  1 -> 9 [size =\"32540672\"]\n  1 -> 11 [size =\"32540672\"]\n  1 -> 16 [size =\"32540672\"]\n  1 -> 17 [size =\"32540672\"]\n  2 [size=\"81809408\", alpha=\"0.02\", expect_size=\"40904704\"] \n  2 -> 7 [size =\"40904704\"]\n  2 -> 8 [size =\"40904704\"]\n  2 -> 10 [size =\"40904704\"]\n  2 -> 12 [size =\"40904704\"]\n  3 [size=\"20580352\", alpha=\"0.10\", expect_size=\"10290176\"] \n  3 -> 9 [size =\"10290176\"]\n  3 -> 14 [size =\"10290176\"]\n  4 [size=\"32692224\", alpha=\"0.11\", expect_size=\"16346112\"] \n  4 -> 9 [size =\"16346112\"]\n  4 -> 11 [size =\"16346112\"]\n  5 [size=\"97019904\", alpha=\"0.03\", expect_size=\"48509952\"] \n  5 -> 8 [size =\"48509952\"]\n  5 -> 13 [size =\"48509952\"]\n  5 -> 16 [size =\"48509952\"]\n  5 -> 18 [size =\"48509952\"]\n  6 [size=\"18825216\", alpha=\"0.01\", expect_size=\"9412608\"] \n  6 -> 8 [size =\"9412608\"]\n  6 -> 10 [size =\"9412608\"]\n  6 -> 11 [size =\"9412608\"]\n  6 -> 14 [size =\"9412608\"]\n  6 -> 15 [size =\"9412608\"]\n  7 [size=\"93267968\", alpha=\"0.17\", expect_size=\"46633984\"] \n  8 [size=\"26558464\", alpha=\"0.19\", expect_size=\"13279232\"] \n  8 -> 20 [size =\"13279232\"]\n  8 -> 23 [size =\"13279232\"]\n  9 [size=\"12070912\", alpha=\"0.20\", expect_size=\"6035456\"] \n  9 -> 24 [size =\"6035456\"]\n  10 [size=\"52535296\", alpha=\"0.11\", expect_size=\"26267648\"] \n  11 [size=\"21698560\", alpha=\"0.12\", expect_size=\"10849280\"] \n  11 -> 20 [size =\"10849280\"]\n  11 -> 21 [size =\"10849280\"]\n  12 [size=\"91721728\", alpha=\"0.17\", expect_size=\"45860864\"] \n  12 -> 22 [size =\"45860864\"]\n  12 -> 23 [size =\"45860864\"]\n  12 -> 24 [size =\"45860864\"]\n  12 -> 25 [size =\"45860864\"]\n  13 [size=\"101654528\", alpha=\"0.08\", expect_size=\"50827264\"] \n  13 -> 19 [size =\"50827264\"]\n  13 -> 20 [size =\"50827264\"]\n  14 [size=\"52766720\", alpha=\"0.05\", expect_size=\"26383360\"] \n  14 -> 22 [size =\"26383360\"]\n  15 [size=\"103452672\", alpha=\"0.12\", expect_size=\"51726336\"] \n  15 -> 20 [size =\"51726336\"]\n  16 [size=\"22661120\", alpha=\"0.12\", expect_size=\"11330560\"] \n  17 [size=\"28590080\", alpha=\"0.12\", expect_size=\"14295040\"] \n  17 -> 22 [size =\"14295040\"]\n  17 -> 24 [size =\"14295040\"]\n  17 -> 25 [size =\"14295040\"]\n  18 [size=\"12830720\", alpha=\"0.06\", expect_size=\"6415360\"] \n  18 -> 20 [size =\"6415360\"]\n  18 -> 24 [size =\"6415360\"]\n  19 [size=\"102916096\", alpha=\"0.11\", expect_size=\"51458048\"] \n  19 -> 28 [size =\"51458048\"]\n  19 -> 34 [size =\"51458048\"]\n  19 -> 35 [size =\"51458048\"]\n  20 [size=\"101926912\", alpha=\"0.17\", expect_size=\"50963456\"] \n  20 -> 27 [size =\"50963456\"]\n  20 -> 28 [size =\"50963456\"]\n  20 -> 29 [size =\"50963456\"]\n  20 -> 30 [size =\"50963456\"]\n  20 -> 32 [size =\"50963456\"]\n  20 -> 36 [size =\"50963456\"]\n  20 -> 38 [size =\"50963456\"]\n  21 [size=\"59160576\", alpha=\"0.15\", expect_size=\"29580288\"] \n  21 -> 27 [size =\"29580288\"]\n  21 -> 29 [size =\"29580288\"]\n  21 -> 30 [size =\"29580288\"]\n  21 -> 36 [size =\"29580288\"]\n  22 [size=\"22368256\", alpha=\"0.07\", expect_size=\"11184128\"] \n  22 -> 30 [size =\"11184128\"]\n  22 -> 33 [size =\"11184128\"]\n  22 -> 37 [size =\"11184128\"]\n  23 [size=\"100532224\", alpha=\"0.02\", expect_size=\"50266112\"] \n  23 -> 28 [size =\"50266112\"]\n  23 -> 30 [size =\"50266112\"]\n  23 -> 36 [size =\"50266112\"]\n  24 [size=\"44206080\", alpha=\"0.02\", expect_size=\"22103040\"] \n  24 -> 26 [size =\"22103040\"]\n  24 -> 28 [size =\"22103040\"]\n  24 -> 29 [size =\"22103040\"]\n  24 -> 31 [size =\"22103040\"]\n  24 -> 32 [size =\"22103040\"]\n  24 -> 38 [size =\"22103040\"]\n  25 [size=\"66060288\", alpha=\"0.20\", expect_size=\"33030144\"] \n  25 -> 29 [size =\"33030144\"]\n  25 -> 34 [size =\"33030144\"]\n  25 -> 38 [size =\"33030144\"]\n  26 [size=\"29497344\", alpha=\"0.19\", expect_size=\"14748672\"] \n  26 -> 39 [size =\"14748672\"]\n  26 -> 40 [size =\"14748672\"]\n  27 [size=\"85659648\", alpha=\"0.16\", expect_size=\"42829824\"] \n  28 [size=\"46718976\", alpha=\"0.17\", expect_size=\"23359488\"] \n  28 -> 40 [size =\"23359488\"]\n  29 [size=\"75128832\", alpha=\"0.18\", expect_size=\"37564416\"] \n  29 -> 40 [size =\"37564416\"]\n  30 [size=\"33566720\", alpha=\"0.08\", expect_size=\"16783360\"] \n  30 -> 40 [size =\"16783360\"]\n  31 [size=\"20281344\", alpha=\"0.20\", expect_size=\"10140672\"] \n  31 -> 40 [size =\"10140672\"]\n  32 [size=\"89866240\", alpha=\"0.09\", expect_size=\"44933120\"] \n  32 -> 40 [size =\"44933120\"]\n  33 [size=\"30531584\", alpha=\"0.18\", expect_size=\"15265792\"] \n  33 -> 39 [size =\"15265792\"]\n  34 [size=\"41115648\", alpha=\"0.16\", expect_size=\"20557824\"] \n  34 -> 39 [size =\"20557824\"]\n  34 -> 40 [size =\"20557824\"]\n  35 [size=\"49453056\", alpha=\"0.13\", expect_size=\"24726528\"] \n  35 -> 39 [size =\"24726528\"]\n  36 [size=\"47710208\", alpha=\"0.13\", expect_size=\"23855104\"] \n  37 [size=\"44222464\", alpha=\"0.17\", expect_size=\"22111232\"] \n  38 [size=\"27404288\", alpha=\"0.01\", expect_size=\"13702144\"] \n  39 [size=\"13328384\", alpha=\"0.05\", expect_size=\"6664192\"] \n  40 [size=\"97951744\", alpha=\"0.09\", expect_size=\"48975872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120200533\", alpha=\"0.14\", expect_size=\"36060160\"] \n  1 -> 29 [size =\"36060160\"]\n  1 -> 31 [size =\"36060160\"]\n  1 -> 33 [size =\"36060160\"]\n  1 -> 37 [size =\"36060160\"]\n  1 -> 37 [size =\"36060160\"]\n  2 [size=\"128378880\", alpha=\"0.13\", expect_size=\"38513664\"] \n  2 -> 28 [size =\"38513664\"]\n  2 -> 29 [size =\"38513664\"]\n  2 -> 33 [size =\"38513664\"]\n  2 -> 35 [size =\"38513664\"]\n  2 -> 37 [size =\"38513664\"]\n  2 -> 40 [size =\"38513664\"]\n  3 [size=\"28153173\", alpha=\"0.12\", expect_size=\"8445952\"] \n  3 -> 28 [size =\"8445952\"]\n  3 -> 29 [size =\"8445952\"]\n  3 -> 33 [size =\"8445952\"]\n  3 -> 36 [size =\"8445952\"]\n  3 -> 37 [size =\"8445952\"]\n  3 -> 39 [size =\"8445952\"]\n  4 [size=\"165809493\", alpha=\"0.01\", expect_size=\"49742848\"] \n  4 -> 27 [size =\"49742848\"]\n  4 -> 29 [size =\"49742848\"]\n  4 -> 37 [size =\"49742848\"]\n  4 -> 39 [size =\"49742848\"]\n  5 [size=\"145418240\", alpha=\"0.11\", expect_size=\"43625472\"] \n  5 -> 27 [size =\"43625472\"]\n  5 -> 28 [size =\"43625472\"]\n  5 -> 35 [size =\"43625472\"]\n  6 [size=\"130140160\", alpha=\"0.09\", expect_size=\"39042048\"] \n  6 -> 28 [size =\"39042048\"]\n  6 -> 29 [size =\"39042048\"]\n  6 -> 32 [size =\"39042048\"]\n  6 -> 33 [size =\"39042048\"]\n  6 -> 34 [size =\"39042048\"]\n  6 -> 37 [size =\"39042048\"]\n  6 -> 40 [size =\"39042048\"]\n  7 [size=\"43127467\", alpha=\"0.04\", expect_size=\"12938240\"] \n  7 -> 28 [size =\"12938240\"]\n  7 -> 29 [size =\"12938240\"]\n  7 -> 30 [size =\"12938240\"]\n  7 -> 32 [size =\"12938240\"]\n  7 -> 34 [size =\"12938240\"]\n  7 -> 40 [size =\"12938240\"]\n  8 [size=\"157044053\", alpha=\"0.07\", expect_size=\"47113216\"] \n  8 -> 33 [size =\"47113216\"]\n  8 -> 35 [size =\"47113216\"]\n  8 -> 36 [size =\"47113216\"]\n  8 -> 38 [size =\"47113216\"]\n  9 [size=\"78493013\", alpha=\"0.14\", expect_size=\"23547904\"] \n  9 -> 31 [size =\"23547904\"]\n  9 -> 33 [size =\"23547904\"]\n  9 -> 39 [size =\"23547904\"]\n  10 [size=\"143452160\", alpha=\"0.03\", expect_size=\"43035648\"] \n  10 -> 27 [size =\"43035648\"]\n  10 -> 28 [size =\"43035648\"]\n  10 -> 29 [size =\"43035648\"]\n  10 -> 31 [size =\"43035648\"]\n  10 -> 32 [size =\"43035648\"]\n  10 -> 34 [size =\"43035648\"]\n  10 -> 35 [size =\"43035648\"]\n  11 [size=\"83240960\", alpha=\"0.07\", expect_size=\"24972288\"] \n  11 -> 27 [size =\"24972288\"]\n  11 -> 29 [size =\"24972288\"]\n  11 -> 36 [size =\"24972288\"]\n  11 -> 40 [size =\"24972288\"]\n  12 [size=\"36864000\", alpha=\"0.16\", expect_size=\"11059200\"] \n  12 -> 27 [size =\"11059200\"]\n  12 -> 29 [size =\"11059200\"]\n  12 -> 34 [size =\"11059200\"]\n  12 -> 38 [size =\"11059200\"]\n  13 [size=\"137161387\", alpha=\"0.14\", expect_size=\"41148416\"] \n  13 -> 27 [size =\"41148416\"]\n  13 -> 29 [size =\"41148416\"]\n  13 -> 35 [size =\"41148416\"]\n  13 -> 38 [size =\"41148416\"]\n  14 [size=\"71352320\", alpha=\"0.16\", expect_size=\"21405696\"] \n  14 -> 27 [size =\"21405696\"]\n  14 -> 29 [size =\"21405696\"]\n  14 -> 35 [size =\"21405696\"]\n  14 -> 36 [size =\"21405696\"]\n  14 -> 39 [size =\"21405696\"]\n  15 [size=\"75895467\", alpha=\"0.19\", expect_size=\"22768640\"] \n  15 -> 27 [size =\"22768640\"]\n  15 -> 34 [size =\"22768640\"]\n  15 -> 37 [size =\"22768640\"]\n  15 -> 39 [size =\"22768640\"]\n  16 [size=\"162379093\", alpha=\"0.17\", expect_size=\"48713728\"] \n  16 -> 28 [size =\"48713728\"]\n  16 -> 29 [size =\"48713728\"]\n  16 -> 32 [size =\"48713728\"]\n  16 -> 35 [size =\"48713728\"]\n  16 -> 39 [size =\"48713728\"]\n  17 [size=\"77291520\", alpha=\"0.12\", expect_size=\"23187456\"] \n  17 -> 29 [size =\"23187456\"]\n  17 -> 35 [size =\"23187456\"]\n  17 -> 39 [size =\"23187456\"]\n  18 [size=\"109711360\", alpha=\"0.03\", expect_size=\"32913408\"] \n  18 -> 28 [size =\"32913408\"]\n  18 -> 29 [size =\"32913408\"]\n  18 -> 35 [size =\"32913408\"]\n  18 -> 36 [size =\"32913408\"]\n  18 -> 38 [size =\"32913408\"]\n  19 [size=\"163430400\", alpha=\"0.14\", expect_size=\"49029120\"] \n  19 -> 32 [size =\"49029120\"]\n  19 -> 33 [size =\"49029120\"]\n  19 -> 37 [size =\"49029120\"]\n  19 -> 38 [size =\"49029120\"]\n  19 -> 39 [size =\"49029120\"]\n  20 [size=\"117828267\", alpha=\"0.11\", expect_size=\"35348480\"] \n  20 -> 28 [size =\"35348480\"]\n  20 -> 33 [size =\"35348480\"]\n  20 -> 37 [size =\"35348480\"]\n  20 -> 38 [size =\"35348480\"]\n  20 -> 39 [size =\"35348480\"]\n  20 -> 40 [size =\"35348480\"]\n  21 [size=\"138734933\", alpha=\"0.01\", expect_size=\"41620480\"] \n  21 -> 33 [size =\"41620480\"]\n  21 -> 37 [size =\"41620480\"]\n  21 -> 37 [size =\"41620480\"]\n  21 -> 40 [size =\"41620480\"]\n  22 [size=\"34187947\", alpha=\"0.06\", expect_size=\"10256384\"] \n  22 -> 32 [size =\"10256384\"]\n  22 -> 33 [size =\"10256384\"]\n  22 -> 35 [size =\"10256384\"]\n  22 -> 36 [size =\"10256384\"]\n  22 -> 38 [size =\"10256384\"]\n  23 [size=\"158204587\", alpha=\"0.11\", expect_size=\"47461376\"] \n  23 -> 28 [size =\"47461376\"]\n  23 -> 37 [size =\"47461376\"]\n  23 -> 38 [size =\"47461376\"]\n  23 -> 39 [size =\"47461376\"]\n  23 -> 40 [size =\"47461376\"]\n  24 [size=\"110544213\", alpha=\"0.16\", expect_size=\"33163264\"] \n  24 -> 29 [size =\"33163264\"]\n  24 -> 32 [size =\"33163264\"]\n  24 -> 33 [size =\"33163264\"]\n  24 -> 35 [size =\"33163264\"]\n  24 -> 37 [size =\"33163264\"]\n  24 -> 40 [size =\"33163264\"]\n  25 [size=\"82783573\", alpha=\"0.17\", expect_size=\"24835072\"] \n  25 -> 31 [size =\"24835072\"]\n  25 -> 32 [size =\"24835072\"]\n  25 -> 37 [size =\"24835072\"]\n  26 [size=\"74410667\", alpha=\"0.12\", expect_size=\"22323200\"] \n  26 -> 31 [size =\"22323200\"]\n  26 -> 32 [size =\"22323200\"]\n  26 -> 35 [size =\"22323200\"]\n  26 -> 36 [size =\"22323200\"]\n  26 -> 37 [size =\"22323200\"]\n  26 -> 38 [size =\"22323200\"]\n  27 [size=\"54582613\", alpha=\"0.10\", expect_size=\"16374784\"] \n  28 [size=\"145199787\", alpha=\"0.06\", expect_size=\"43559936\"] \n  29 [size=\"169164800\", alpha=\"0.10\", expect_size=\"50749440\"] \n  30 [size=\"121879893\", alpha=\"0.10\", expect_size=\"36563968\"] \n  31 [size=\"52234240\", alpha=\"0.19\", expect_size=\"15670272\"] \n  32 [size=\"62952107\", alpha=\"0.09\", expect_size=\"18885632\"] \n  33 [size=\"107653120\", alpha=\"0.15\", expect_size=\"32295936\"] \n  34 [size=\"39731200\", alpha=\"0.08\", expect_size=\"11919360\"] \n  35 [size=\"164805973\", alpha=\"0.08\", expect_size=\"49441792\"] \n  36 [size=\"138967040\", alpha=\"0.07\", expect_size=\"41690112\"] \n  37 [size=\"74878293\", alpha=\"0.13\", expect_size=\"22463488\"] \n  38 [size=\"155477333\", alpha=\"0.11\", expect_size=\"46643200\"] \n  39 [size=\"48479573\", alpha=\"0.08\", expect_size=\"14543872\"] \n  40 [size=\"129477973\", alpha=\"0.17\", expect_size=\"38843392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28474880\", alpha=\"0.19\", expect_size=\"11389952\"] \n  1 -> 2 [size =\"11389952\"]\n  2 [size=\"20147200\", alpha=\"0.15\", expect_size=\"8058880\"] \n  2 -> 3 [size =\"8058880\"]\n  3 [size=\"84172800\", alpha=\"0.19\", expect_size=\"33669120\"] \n  3 -> 4 [size =\"33669120\"]\n  4 [size=\"62202880\", alpha=\"0.15\", expect_size=\"24881152\"] \n  4 -> 5 [size =\"24881152\"]\n  5 [size=\"98836480\", alpha=\"0.18\", expect_size=\"39534592\"] \n  5 -> 6 [size =\"39534592\"]\n  6 [size=\"43991040\", alpha=\"0.04\", expect_size=\"17596416\"] \n  6 -> 7 [size =\"17596416\"]\n  7 [size=\"36569600\", alpha=\"0.12\", expect_size=\"14627840\"] \n  7 -> 8 [size =\"14627840\"]\n  8 [size=\"46973440\", alpha=\"0.20\", expect_size=\"18789376\"] \n  8 -> 9 [size =\"18789376\"]\n  9 [size=\"87728640\", alpha=\"0.08\", expect_size=\"35091456\"] \n  9 -> 10 [size =\"35091456\"]\n  10 [size=\"27660800\", alpha=\"0.12\", expect_size=\"11064320\"] \n  10 -> 11 [size =\"11064320\"]\n  11 [size=\"47454720\", alpha=\"0.07\", expect_size=\"18981888\"] \n  11 -> 12 [size =\"18981888\"]\n  12 [size=\"39467520\", alpha=\"0.05\", expect_size=\"15787008\"] \n  12 -> 13 [size =\"15787008\"]\n  13 [size=\"125109760\", alpha=\"0.01\", expect_size=\"50043904\"] \n  13 -> 14 [size =\"50043904\"]\n  14 [size=\"121236480\", alpha=\"0.02\", expect_size=\"48494592\"] \n  14 -> 15 [size =\"48494592\"]\n  15 [size=\"94167040\", alpha=\"0.06\", expect_size=\"37666816\"] \n  15 -> 16 [size =\"37666816\"]\n  16 [size=\"81745920\", alpha=\"0.06\", expect_size=\"32698368\"] \n  16 -> 17 [size =\"32698368\"]\n  17 [size=\"104834560\", alpha=\"0.04\", expect_size=\"41933824\"] \n  17 -> 18 [size =\"41933824\"]\n  18 [size=\"59617280\", alpha=\"0.02\", expect_size=\"23846912\"] \n  18 -> 19 [size =\"23846912\"]\n  19 [size=\"57218560\", alpha=\"0.18\", expect_size=\"22887424\"] \n  19 -> 20 [size =\"22887424\"]\n  20 [size=\"106104320\", alpha=\"0.15\", expect_size=\"42441728\"] \n  20 -> 21 [size =\"42441728\"]\n  21 [size=\"56005120\", alpha=\"0.14\", expect_size=\"22402048\"] \n  21 -> 22 [size =\"22402048\"]\n  22 [size=\"95534080\", alpha=\"0.15\", expect_size=\"38213632\"] \n  22 -> 23 [size =\"38213632\"]\n  23 [size=\"122150400\", alpha=\"0.08\", expect_size=\"48860160\"] \n  23 -> 24 [size =\"48860160\"]\n  24 [size=\"125399040\", alpha=\"0.09\", expect_size=\"50159616\"] \n  24 -> 25 [size =\"50159616\"]\n  25 [size=\"20469760\", alpha=\"0.05\", expect_size=\"8187904\"] \n  25 -> 26 [size =\"8187904\"]\n  26 [size=\"56294400\", alpha=\"0.06\", expect_size=\"22517760\"] \n  26 -> 27 [size =\"22517760\"]\n  27 [size=\"91169280\", alpha=\"0.11\", expect_size=\"36467712\"] \n  27 -> 28 [size =\"36467712\"]\n  28 [size=\"112586240\", alpha=\"0.01\", expect_size=\"45034496\"] \n  28 -> 29 [size =\"45034496\"]\n  29 [size=\"124528640\", alpha=\"0.05\", expect_size=\"49811456\"] \n  29 -> 30 [size =\"49811456\"]\n  30 [size=\"112448000\", alpha=\"0.10\", expect_size=\"44979200\"] \n  30 -> 31 [size =\"44979200\"]\n  31 [size=\"82493440\", alpha=\"0.02\", expect_size=\"32997376\"] \n  31 -> 32 [size =\"32997376\"]\n  32 [size=\"50035200\", alpha=\"0.18\", expect_size=\"20014080\"] \n  32 -> 33 [size =\"20014080\"]\n  33 [size=\"22115840\", alpha=\"0.13\", expect_size=\"8846336\"] \n  33 -> 34 [size =\"8846336\"]\n  34 [size=\"69798400\", alpha=\"0.06\", expect_size=\"27919360\"] \n  34 -> 35 [size =\"27919360\"]\n  35 [size=\"124218880\", alpha=\"0.14\", expect_size=\"49687552\"] \n  35 -> 36 [size =\"49687552\"]\n  36 [size=\"35174400\", alpha=\"0.12\", expect_size=\"14069760\"] \n  36 -> 37 [size =\"14069760\"]\n  37 [size=\"69483520\", alpha=\"0.07\", expect_size=\"27793408\"] \n  37 -> 38 [size =\"27793408\"]\n  38 [size=\"14676480\", alpha=\"0.09\", expect_size=\"5870592\"] \n  38 -> 39 [size =\"5870592\"]\n  39 [size=\"22584320\", alpha=\"0.18\", expect_size=\"9033728\"] \n  39 -> 40 [size =\"9033728\"]\n  40 [size=\"49863680\", alpha=\"0.04\", expect_size=\"19945472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124518400\", alpha=\"0.08\", expect_size=\"49807360\"] \n  1 -> 20 [size =\"49807360\"]\n  1 -> 25 [size =\"49807360\"]\n  1 -> 26 [size =\"49807360\"]\n  2 [size=\"51023360\", alpha=\"0.15\", expect_size=\"20409344\"] \n  2 -> 17 [size =\"20409344\"]\n  2 -> 20 [size =\"20409344\"]\n  2 -> 26 [size =\"20409344\"]\n  3 [size=\"86681600\", alpha=\"0.05\", expect_size=\"34672640\"] \n  3 -> 25 [size =\"34672640\"]\n  3 -> 26 [size =\"34672640\"]\n  4 [size=\"41523200\", alpha=\"0.19\", expect_size=\"16609280\"] \n  4 -> 20 [size =\"16609280\"]\n  4 -> 23 [size =\"16609280\"]\n  4 -> 24 [size =\"16609280\"]\n  5 [size=\"46382080\", alpha=\"0.14\", expect_size=\"18552832\"] \n  5 -> 19 [size =\"18552832\"]\n  5 -> 23 [size =\"18552832\"]\n  5 -> 24 [size =\"18552832\"]\n  6 [size=\"85450240\", alpha=\"0.09\", expect_size=\"34180096\"] \n  6 -> 18 [size =\"34180096\"]\n  6 -> 19 [size =\"34180096\"]\n  6 -> 20 [size =\"34180096\"]\n  6 -> 23 [size =\"34180096\"]\n  6 -> 24 [size =\"34180096\"]\n  7 [size=\"16120320\", alpha=\"0.00\", expect_size=\"6448128\"] \n  7 -> 17 [size =\"6448128\"]\n  7 -> 21 [size =\"6448128\"]\n  7 -> 23 [size =\"6448128\"]\n  8 [size=\"103769600\", alpha=\"0.07\", expect_size=\"41507840\"] \n  8 -> 16 [size =\"41507840\"]\n  8 -> 20 [size =\"41507840\"]\n  8 -> 24 [size =\"41507840\"]\n  9 [size=\"23956480\", alpha=\"0.07\", expect_size=\"9582592\"] \n  9 -> 19 [size =\"9582592\"]\n  9 -> 20 [size =\"9582592\"]\n  9 -> 23 [size =\"9582592\"]\n  9 -> 24 [size =\"9582592\"]\n  10 [size=\"125250560\", alpha=\"0.14\", expect_size=\"50100224\"] \n  10 -> 16 [size =\"50100224\"]\n  10 -> 25 [size =\"50100224\"]\n  10 -> 26 [size =\"50100224\"]\n  11 [size=\"123571200\", alpha=\"0.06\", expect_size=\"49428480\"] \n  11 -> 26 [size =\"49428480\"]\n  12 [size=\"52899840\", alpha=\"0.12\", expect_size=\"21159936\"] \n  12 -> 19 [size =\"21159936\"]\n  12 -> 21 [size =\"21159936\"]\n  12 -> 22 [size =\"21159936\"]\n  12 -> 23 [size =\"21159936\"]\n  12 -> 25 [size =\"21159936\"]\n  13 [size=\"23616000\", alpha=\"0.04\", expect_size=\"9446400\"] \n  13 -> 19 [size =\"9446400\"]\n  13 -> 21 [size =\"9446400\"]\n  14 [size=\"51627520\", alpha=\"0.10\", expect_size=\"20651008\"] \n  14 -> 17 [size =\"20651008\"]\n  14 -> 19 [size =\"20651008\"]\n  14 -> 23 [size =\"20651008\"]\n  15 [size=\"47966720\", alpha=\"0.15\", expect_size=\"19186688\"] \n  15 -> 20 [size =\"19186688\"]\n  15 -> 23 [size =\"19186688\"]\n  16 [size=\"13649920\", alpha=\"0.05\", expect_size=\"5459968\"] \n  16 -> 29 [size =\"5459968\"]\n  16 -> 30 [size =\"5459968\"]\n  16 -> 32 [size =\"5459968\"]\n  16 -> 34 [size =\"5459968\"]\n  16 -> 35 [size =\"5459968\"]\n  17 [size=\"64417280\", alpha=\"0.12\", expect_size=\"25766912\"] \n  17 -> 28 [size =\"25766912\"]\n  17 -> 34 [size =\"25766912\"]\n  17 -> 37 [size =\"25766912\"]\n  18 [size=\"65436160\", alpha=\"0.07\", expect_size=\"26174464\"] \n  18 -> 28 [size =\"26174464\"]\n  18 -> 30 [size =\"26174464\"]\n  18 -> 35 [size =\"26174464\"]\n  19 [size=\"106268160\", alpha=\"0.19\", expect_size=\"42507264\"] \n  19 -> 27 [size =\"42507264\"]\n  19 -> 30 [size =\"42507264\"]\n  19 -> 32 [size =\"42507264\"]\n  19 -> 35 [size =\"42507264\"]\n  19 -> 36 [size =\"42507264\"]\n  20 [size=\"28746240\", alpha=\"0.16\", expect_size=\"11498496\"] \n  20 -> 30 [size =\"11498496\"]\n  20 -> 31 [size =\"11498496\"]\n  20 -> 32 [size =\"11498496\"]\n  20 -> 35 [size =\"11498496\"]\n  21 [size=\"112604160\", alpha=\"0.12\", expect_size=\"45041664\"] \n  21 -> 29 [size =\"45041664\"]\n  21 -> 31 [size =\"45041664\"]\n  21 -> 32 [size =\"45041664\"]\n  21 -> 36 [size =\"45041664\"]\n  21 -> 37 [size =\"45041664\"]\n  22 [size=\"30558720\", alpha=\"0.14\", expect_size=\"12223488\"] \n  23 [size=\"101396480\", alpha=\"0.08\", expect_size=\"40558592\"] \n  23 -> 29 [size =\"40558592\"]\n  23 -> 36 [size =\"40558592\"]\n  24 [size=\"124805120\", alpha=\"0.08\", expect_size=\"49922048\"] \n  24 -> 27 [size =\"49922048\"]\n  24 -> 28 [size =\"49922048\"]\n  24 -> 29 [size =\"49922048\"]\n  24 -> 33 [size =\"49922048\"]\n  25 [size=\"64276480\", alpha=\"0.13\", expect_size=\"25710592\"] \n  25 -> 29 [size =\"25710592\"]\n  25 -> 36 [size =\"25710592\"]\n  26 [size=\"37181440\", alpha=\"0.11\", expect_size=\"14872576\"] \n  26 -> 29 [size =\"14872576\"]\n  26 -> 30 [size =\"14872576\"]\n  26 -> 32 [size =\"14872576\"]\n  26 -> 36 [size =\"14872576\"]\n  27 [size=\"64852480\", alpha=\"0.09\", expect_size=\"25940992\"] \n  27 -> 39 [size =\"25940992\"]\n  27 -> 40 [size =\"25940992\"]\n  28 [size=\"20034560\", alpha=\"0.02\", expect_size=\"8013824\"] \n  29 [size=\"62842880\", alpha=\"0.17\", expect_size=\"25137152\"] \n  29 -> 38 [size =\"25137152\"]\n  29 -> 40 [size =\"25137152\"]\n  30 [size=\"55464960\", alpha=\"0.11\", expect_size=\"22185984\"] \n  30 -> 38 [size =\"22185984\"]\n  31 [size=\"30026240\", alpha=\"0.04\", expect_size=\"12010496\"] \n  32 [size=\"97935360\", alpha=\"0.04\", expect_size=\"39174144\"] \n  32 -> 40 [size =\"39174144\"]\n  33 [size=\"61178880\", alpha=\"0.05\", expect_size=\"24471552\"] \n  33 -> 39 [size =\"24471552\"]\n  34 [size=\"111301120\", alpha=\"0.13\", expect_size=\"44520448\"] \n  34 -> 40 [size =\"44520448\"]\n  35 [size=\"40788480\", alpha=\"0.07\", expect_size=\"16315392\"] \n  36 [size=\"118845440\", alpha=\"0.01\", expect_size=\"47538176\"] \n  36 -> 38 [size =\"47538176\"]\n  37 [size=\"63923200\", alpha=\"0.04\", expect_size=\"25569280\"] \n  37 -> 38 [size =\"25569280\"]\n  37 -> 40 [size =\"25569280\"]\n  38 [size=\"114964480\", alpha=\"0.15\", expect_size=\"45985792\"] \n  39 [size=\"126704640\", alpha=\"0.03\", expect_size=\"50681856\"] \n  40 [size=\"109992960\", alpha=\"0.13\", expect_size=\"43997184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49342464\", alpha=\"0.08\", expect_size=\"24671232\"] \n  1 -> 4 [size =\"24671232\"]\n  1 -> 5 [size =\"24671232\"]\n  2 [size=\"13230080\", alpha=\"0.15\", expect_size=\"6615040\"] \n  2 -> 6 [size =\"6615040\"]\n  3 [size=\"93081600\", alpha=\"0.16\", expect_size=\"46540800\"] \n  3 -> 5 [size =\"46540800\"]\n  3 -> 6 [size =\"46540800\"]\n  4 [size=\"65241088\", alpha=\"0.12\", expect_size=\"32620544\"] \n  4 -> 8 [size =\"32620544\"]\n  4 -> 9 [size =\"32620544\"]\n  5 [size=\"59623424\", alpha=\"0.12\", expect_size=\"29811712\"] \n  5 -> 9 [size =\"29811712\"]\n  5 -> 10 [size =\"29811712\"]\n  5 -> 11 [size =\"29811712\"]\n  6 [size=\"99786752\", alpha=\"0.03\", expect_size=\"49893376\"] \n  6 -> 7 [size =\"49893376\"]\n  7 [size=\"30441472\", alpha=\"0.13\", expect_size=\"15220736\"] \n  7 -> 12 [size =\"15220736\"]\n  7 -> 15 [size =\"15220736\"]\n  8 [size=\"61837312\", alpha=\"0.15\", expect_size=\"30918656\"] \n  8 -> 12 [size =\"30918656\"]\n  8 -> 15 [size =\"30918656\"]\n  8 -> 16 [size =\"30918656\"]\n  8 -> 17 [size =\"30918656\"]\n  9 [size=\"11552768\", alpha=\"0.11\", expect_size=\"5776384\"] \n  9 -> 13 [size =\"5776384\"]\n  10 [size=\"14172160\", alpha=\"0.09\", expect_size=\"7086080\"] \n  10 -> 12 [size =\"7086080\"]\n  10 -> 16 [size =\"7086080\"]\n  10 -> 17 [size =\"7086080\"]\n  11 [size=\"51724288\", alpha=\"0.02\", expect_size=\"25862144\"] \n  11 -> 13 [size =\"25862144\"]\n  11 -> 14 [size =\"25862144\"]\n  11 -> 15 [size =\"25862144\"]\n  11 -> 17 [size =\"25862144\"]\n  12 [size=\"90486784\", alpha=\"0.09\", expect_size=\"45243392\"] \n  12 -> 18 [size =\"45243392\"]\n  13 [size=\"67678208\", alpha=\"0.11\", expect_size=\"33839104\"] \n  13 -> 22 [size =\"33839104\"]\n  13 -> 23 [size =\"33839104\"]\n  13 -> 24 [size =\"33839104\"]\n  14 [size=\"48410624\", alpha=\"0.19\", expect_size=\"24205312\"] \n  14 -> 19 [size =\"24205312\"]\n  14 -> 21 [size =\"24205312\"]\n  14 -> 22 [size =\"24205312\"]\n  14 -> 24 [size =\"24205312\"]\n  15 [size=\"104038400\", alpha=\"0.18\", expect_size=\"52019200\"] \n  15 -> 19 [size =\"52019200\"]\n  15 -> 21 [size =\"52019200\"]\n  15 -> 22 [size =\"52019200\"]\n  16 [size=\"66678784\", alpha=\"0.02\", expect_size=\"33339392\"] \n  16 -> 20 [size =\"33339392\"]\n  16 -> 21 [size =\"33339392\"]\n  16 -> 24 [size =\"33339392\"]\n  17 [size=\"79306752\", alpha=\"0.17\", expect_size=\"39653376\"] \n  17 -> 21 [size =\"39653376\"]\n  17 -> 22 [size =\"39653376\"]\n  17 -> 24 [size =\"39653376\"]\n  18 [size=\"47962112\", alpha=\"0.13\", expect_size=\"23981056\"] \n  19 [size=\"25239552\", alpha=\"0.01\", expect_size=\"12619776\"] \n  19 -> 25 [size =\"12619776\"]\n  20 [size=\"78405632\", alpha=\"0.12\", expect_size=\"39202816\"] \n  21 [size=\"27901952\", alpha=\"0.12\", expect_size=\"13950976\"] \n  22 [size=\"36925440\", alpha=\"0.11\", expect_size=\"18462720\"] \n  22 -> 25 [size =\"18462720\"]\n  22 -> 27 [size =\"18462720\"]\n  23 [size=\"77131776\", alpha=\"0.09\", expect_size=\"38565888\"] \n  23 -> 25 [size =\"38565888\"]\n  23 -> 26 [size =\"38565888\"]\n  23 -> 27 [size =\"38565888\"]\n  24 [size=\"35108864\", alpha=\"0.18\", expect_size=\"17554432\"] \n  24 -> 27 [size =\"17554432\"]\n  25 [size=\"32473088\", alpha=\"0.17\", expect_size=\"16236544\"] \n  25 -> 29 [size =\"16236544\"]\n  26 [size=\"21161984\", alpha=\"0.15\", expect_size=\"10580992\"] \n  26 -> 28 [size =\"10580992\"]\n  26 -> 29 [size =\"10580992\"]\n  26 -> 30 [size =\"10580992\"]\n  27 [size=\"28725248\", alpha=\"0.18\", expect_size=\"14362624\"] \n  27 -> 29 [size =\"14362624\"]\n  28 [size=\"12224512\", alpha=\"0.11\", expect_size=\"6112256\"] \n  28 -> 32 [size =\"6112256\"]\n  28 -> 34 [size =\"6112256\"]\n  28 -> 35 [size =\"6112256\"]\n  28 -> 36 [size =\"6112256\"]\n  28 -> 37 [size =\"6112256\"]\n  28 -> 38 [size =\"6112256\"]\n  29 [size=\"72609792\", alpha=\"0.05\", expect_size=\"36304896\"] \n  29 -> 31 [size =\"36304896\"]\n  29 -> 32 [size =\"36304896\"]\n  29 -> 33 [size =\"36304896\"]\n  29 -> 36 [size =\"36304896\"]\n  30 [size=\"79575040\", alpha=\"0.19\", expect_size=\"39787520\"] \n  30 -> 31 [size =\"39787520\"]\n  30 -> 32 [size =\"39787520\"]\n  30 -> 34 [size =\"39787520\"]\n  30 -> 37 [size =\"39787520\"]\n  31 [size=\"43978752\", alpha=\"0.02\", expect_size=\"21989376\"] \n  32 [size=\"99051520\", alpha=\"0.02\", expect_size=\"49525760\"] \n  32 -> 39 [size =\"49525760\"]\n  33 [size=\"58793984\", alpha=\"0.14\", expect_size=\"29396992\"] \n  34 [size=\"100173824\", alpha=\"0.15\", expect_size=\"50086912\"] \n  35 [size=\"89202688\", alpha=\"0.15\", expect_size=\"44601344\"] \n  36 [size=\"75022336\", alpha=\"0.07\", expect_size=\"37511168\"] \n  36 -> 39 [size =\"37511168\"]\n  37 [size=\"52563968\", alpha=\"0.13\", expect_size=\"26281984\"] \n  37 -> 39 [size =\"26281984\"]\n  38 [size=\"41781248\", alpha=\"0.08\", expect_size=\"20890624\"] \n  38 -> 39 [size =\"20890624\"]\n  38 -> 40 [size =\"20890624\"]\n  39 [size=\"94029824\", alpha=\"0.05\", expect_size=\"47014912\"] \n  40 [size=\"21630976\", alpha=\"0.17\", expect_size=\"10815488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78639787\", alpha=\"0.11\", expect_size=\"23591936\"] \n  1 -> 2 [size =\"23591936\"]\n  2 [size=\"52203520\", alpha=\"0.16\", expect_size=\"15661056\"] \n  2 -> 3 [size =\"15661056\"]\n  3 [size=\"19909973\", alpha=\"0.12\", expect_size=\"5972992\"] \n  3 -> 4 [size =\"5972992\"]\n  4 [size=\"93323947\", alpha=\"0.17\", expect_size=\"27997184\"] \n  4 -> 5 [size =\"27997184\"]\n  5 [size=\"34976427\", alpha=\"0.13\", expect_size=\"10492928\"] \n  5 -> 6 [size =\"10492928\"]\n  6 [size=\"20012373\", alpha=\"0.14\", expect_size=\"6003712\"] \n  6 -> 7 [size =\"6003712\"]\n  7 [size=\"35911680\", alpha=\"0.20\", expect_size=\"10773504\"] \n  7 -> 8 [size =\"10773504\"]\n  8 [size=\"157597013\", alpha=\"0.04\", expect_size=\"47279104\"] \n  8 -> 9 [size =\"47279104\"]\n  9 [size=\"54480213\", alpha=\"0.11\", expect_size=\"16344064\"] \n  9 -> 10 [size =\"16344064\"]\n  10 [size=\"103464960\", alpha=\"0.08\", expect_size=\"31039488\"] \n  10 -> 11 [size =\"31039488\"]\n  11 [size=\"153361067\", alpha=\"0.18\", expect_size=\"46008320\"] \n  11 -> 12 [size =\"46008320\"]\n  12 [size=\"82227200\", alpha=\"0.06\", expect_size=\"24668160\"] \n  12 -> 13 [size =\"24668160\"]\n  13 [size=\"48261120\", alpha=\"0.05\", expect_size=\"14478336\"] \n  13 -> 14 [size =\"14478336\"]\n  14 [size=\"142923093\", alpha=\"0.08\", expect_size=\"42876928\"] \n  14 -> 15 [size =\"42876928\"]\n  15 [size=\"115834880\", alpha=\"0.07\", expect_size=\"34750464\"] \n  15 -> 16 [size =\"34750464\"]\n  16 [size=\"62976000\", alpha=\"0.09\", expect_size=\"18892800\"] \n  16 -> 17 [size =\"18892800\"]\n  17 [size=\"173837653\", alpha=\"0.10\", expect_size=\"52151296\"] \n  17 -> 18 [size =\"52151296\"]\n  18 [size=\"171520000\", alpha=\"0.05\", expect_size=\"51456000\"] \n  18 -> 19 [size =\"51456000\"]\n  19 [size=\"42574507\", alpha=\"0.09\", expect_size=\"12772352\"] \n  19 -> 20 [size =\"12772352\"]\n  20 [size=\"128119467\", alpha=\"0.19\", expect_size=\"38435840\"] \n  20 -> 21 [size =\"38435840\"]\n  21 [size=\"33010347\", alpha=\"0.18\", expect_size=\"9903104\"] \n  21 -> 22 [size =\"9903104\"]\n  22 [size=\"173339307\", alpha=\"0.00\", expect_size=\"52001792\"] \n  22 -> 23 [size =\"52001792\"]\n  23 [size=\"66136747\", alpha=\"0.03\", expect_size=\"19841024\"] \n  23 -> 24 [size =\"19841024\"]\n  24 [size=\"102567253\", alpha=\"0.16\", expect_size=\"30770176\"] \n  24 -> 25 [size =\"30770176\"]\n  25 [size=\"162426880\", alpha=\"0.11\", expect_size=\"48728064\"] \n  25 -> 26 [size =\"48728064\"]\n  26 [size=\"58275840\", alpha=\"0.06\", expect_size=\"17482752\"] \n  26 -> 27 [size =\"17482752\"]\n  27 [size=\"128747520\", alpha=\"0.03\", expect_size=\"38624256\"] \n  27 -> 28 [size =\"38624256\"]\n  28 [size=\"47370240\", alpha=\"0.19\", expect_size=\"14211072\"] \n  28 -> 29 [size =\"14211072\"]\n  29 [size=\"83234133\", alpha=\"0.19\", expect_size=\"24970240\"] \n  29 -> 30 [size =\"24970240\"]\n  30 [size=\"153029973\", alpha=\"0.10\", expect_size=\"45908992\"] \n  30 -> 31 [size =\"45908992\"]\n  31 [size=\"147848533\", alpha=\"0.18\", expect_size=\"44354560\"] \n  31 -> 32 [size =\"44354560\"]\n  32 [size=\"128853333\", alpha=\"0.14\", expect_size=\"38656000\"] \n  32 -> 33 [size =\"38656000\"]\n  33 [size=\"130771627\", alpha=\"0.15\", expect_size=\"39231488\"] \n  33 -> 34 [size =\"39231488\"]\n  34 [size=\"156043947\", alpha=\"0.11\", expect_size=\"46813184\"] \n  34 -> 35 [size =\"46813184\"]\n  35 [size=\"123228160\", alpha=\"0.20\", expect_size=\"36968448\"] \n  35 -> 36 [size =\"36968448\"]\n  36 [size=\"49831253\", alpha=\"0.15\", expect_size=\"14949376\"] \n  36 -> 37 [size =\"14949376\"]\n  37 [size=\"95672320\", alpha=\"0.09\", expect_size=\"28701696\"] \n  37 -> 38 [size =\"28701696\"]\n  38 [size=\"121907200\", alpha=\"0.03\", expect_size=\"36572160\"] \n  38 -> 39 [size =\"36572160\"]\n  39 [size=\"111373653\", alpha=\"0.01\", expect_size=\"33412096\"] \n  39 -> 40 [size =\"33412096\"]\n  40 [size=\"101075627\", alpha=\"0.12\", expect_size=\"30322688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102212267\", alpha=\"0.11\", expect_size=\"30663680\"] \n  1 -> 14 [size =\"30663680\"]\n  1 -> 22 [size =\"30663680\"]\n  2 [size=\"108704427\", alpha=\"0.05\", expect_size=\"32611328\"] \n  2 -> 25 [size =\"32611328\"]\n  2 -> 27 [size =\"32611328\"]\n  3 [size=\"43745280\", alpha=\"0.13\", expect_size=\"13123584\"] \n  3 -> 18 [size =\"13123584\"]\n  3 -> 19 [size =\"13123584\"]\n  3 -> 20 [size =\"13123584\"]\n  3 -> 26 [size =\"13123584\"]\n  4 [size=\"23121920\", alpha=\"0.04\", expect_size=\"6936576\"] \n  4 -> 14 [size =\"6936576\"]\n  4 -> 16 [size =\"6936576\"]\n  4 -> 19 [size =\"6936576\"]\n  4 -> 21 [size =\"6936576\"]\n  4 -> 22 [size =\"6936576\"]\n  4 -> 24 [size =\"6936576\"]\n  4 -> 27 [size =\"6936576\"]\n  5 [size=\"73099947\", alpha=\"0.07\", expect_size=\"21929984\"] \n  5 -> 22 [size =\"21929984\"]\n  6 [size=\"106103467\", alpha=\"0.05\", expect_size=\"31831040\"] \n  6 -> 14 [size =\"31831040\"]\n  6 -> 19 [size =\"31831040\"]\n  6 -> 26 [size =\"31831040\"]\n  7 [size=\"51838293\", alpha=\"0.17\", expect_size=\"15551488\"] \n  7 -> 16 [size =\"15551488\"]\n  7 -> 17 [size =\"15551488\"]\n  7 -> 18 [size =\"15551488\"]\n  7 -> 23 [size =\"15551488\"]\n  7 -> 26 [size =\"15551488\"]\n  8 [size=\"114490027\", alpha=\"0.20\", expect_size=\"34347008\"] \n  8 -> 16 [size =\"34347008\"]\n  8 -> 18 [size =\"34347008\"]\n  8 -> 19 [size =\"34347008\"]\n  8 -> 21 [size =\"34347008\"]\n  8 -> 22 [size =\"34347008\"]\n  8 -> 24 [size =\"34347008\"]\n  8 -> 27 [size =\"34347008\"]\n  9 [size=\"114257920\", alpha=\"0.10\", expect_size=\"34277376\"] \n  9 -> 16 [size =\"34277376\"]\n  9 -> 19 [size =\"34277376\"]\n  9 -> 23 [size =\"34277376\"]\n  9 -> 24 [size =\"34277376\"]\n  9 -> 26 [size =\"34277376\"]\n  9 -> 27 [size =\"34277376\"]\n  10 [size=\"36225707\", alpha=\"0.14\", expect_size=\"10867712\"] \n  10 -> 20 [size =\"10867712\"]\n  10 -> 23 [size =\"10867712\"]\n  10 -> 24 [size =\"10867712\"]\n  11 [size=\"20575573\", alpha=\"0.02\", expect_size=\"6172672\"] \n  11 -> 19 [size =\"6172672\"]\n  11 -> 22 [size =\"6172672\"]\n  12 [size=\"108677120\", alpha=\"0.04\", expect_size=\"32603136\"] \n  12 -> 15 [size =\"32603136\"]\n  12 -> 18 [size =\"32603136\"]\n  12 -> 23 [size =\"32603136\"]\n  12 -> 26 [size =\"32603136\"]\n  12 -> 27 [size =\"32603136\"]\n  13 [size=\"148254720\", alpha=\"0.15\", expect_size=\"44476416\"] \n  13 -> 19 [size =\"44476416\"]\n  13 -> 22 [size =\"44476416\"]\n  14 [size=\"90951680\", alpha=\"0.10\", expect_size=\"27285504\"] \n  14 -> 30 [size =\"27285504\"]\n  14 -> 31 [size =\"27285504\"]\n  14 -> 32 [size =\"27285504\"]\n  14 -> 33 [size =\"27285504\"]\n  14 -> 36 [size =\"27285504\"]\n  15 [size=\"124811947\", alpha=\"0.07\", expect_size=\"37443584\"] \n  15 -> 28 [size =\"37443584\"]\n  15 -> 31 [size =\"37443584\"]\n  15 -> 33 [size =\"37443584\"]\n  15 -> 37 [size =\"37443584\"]\n  16 [size=\"23343787\", alpha=\"0.04\", expect_size=\"7003136\"] \n  16 -> 29 [size =\"7003136\"]\n  16 -> 35 [size =\"7003136\"]\n  17 [size=\"61030400\", alpha=\"0.16\", expect_size=\"18309120\"] \n  17 -> 30 [size =\"18309120\"]\n  17 -> 31 [size =\"18309120\"]\n  18 [size=\"40062293\", alpha=\"0.05\", expect_size=\"12018688\"] \n  18 -> 29 [size =\"12018688\"]\n  18 -> 37 [size =\"12018688\"]\n  19 [size=\"39335253\", alpha=\"0.14\", expect_size=\"11800576\"] \n  19 -> 28 [size =\"11800576\"]\n  19 -> 29 [size =\"11800576\"]\n  19 -> 31 [size =\"11800576\"]\n  19 -> 37 [size =\"11800576\"]\n  20 [size=\"119517867\", alpha=\"0.17\", expect_size=\"35855360\"] \n  20 -> 29 [size =\"35855360\"]\n  20 -> 30 [size =\"35855360\"]\n  20 -> 34 [size =\"35855360\"]\n  20 -> 36 [size =\"35855360\"]\n  20 -> 37 [size =\"35855360\"]\n  21 [size=\"70256640\", alpha=\"0.11\", expect_size=\"21076992\"] \n  21 -> 31 [size =\"21076992\"]\n  21 -> 32 [size =\"21076992\"]\n  21 -> 37 [size =\"21076992\"]\n  22 [size=\"85480107\", alpha=\"0.16\", expect_size=\"25644032\"] \n  22 -> 28 [size =\"25644032\"]\n  22 -> 31 [size =\"25644032\"]\n  23 [size=\"119326720\", alpha=\"0.05\", expect_size=\"35798016\"] \n  23 -> 28 [size =\"35798016\"]\n  23 -> 29 [size =\"35798016\"]\n  23 -> 32 [size =\"35798016\"]\n  23 -> 33 [size =\"35798016\"]\n  23 -> 35 [size =\"35798016\"]\n  24 [size=\"83397973\", alpha=\"0.15\", expect_size=\"25019392\"] \n  24 -> 29 [size =\"25019392\"]\n  24 -> 29 [size =\"25019392\"]\n  24 -> 31 [size =\"25019392\"]\n  24 -> 33 [size =\"25019392\"]\n  24 -> 35 [size =\"25019392\"]\n  24 -> 37 [size =\"25019392\"]\n  25 [size=\"161061547\", alpha=\"0.11\", expect_size=\"48318464\"] \n  25 -> 28 [size =\"48318464\"]\n  25 -> 30 [size =\"48318464\"]\n  25 -> 33 [size =\"48318464\"]\n  25 -> 34 [size =\"48318464\"]\n  26 [size=\"57791147\", alpha=\"0.19\", expect_size=\"17337344\"] \n  26 -> 28 [size =\"17337344\"]\n  26 -> 33 [size =\"17337344\"]\n  27 [size=\"92122453\", alpha=\"0.12\", expect_size=\"27636736\"] \n  27 -> 37 [size =\"27636736\"]\n  28 [size=\"60955307\", alpha=\"0.16\", expect_size=\"18286592\"] \n  29 [size=\"103208960\", alpha=\"0.13\", expect_size=\"30962688\"] \n  29 -> 39 [size =\"30962688\"]\n  30 [size=\"53585920\", alpha=\"0.13\", expect_size=\"16075776\"] \n  30 -> 38 [size =\"16075776\"]\n  30 -> 39 [size =\"16075776\"]\n  30 -> 40 [size =\"16075776\"]\n  31 [size=\"28846080\", alpha=\"0.12\", expect_size=\"8653824\"] \n  31 -> 39 [size =\"8653824\"]\n  31 -> 40 [size =\"8653824\"]\n  32 [size=\"113722027\", alpha=\"0.04\", expect_size=\"34116608\"] \n  33 [size=\"84875947\", alpha=\"0.12\", expect_size=\"25462784\"] \n  34 [size=\"125863253\", alpha=\"0.09\", expect_size=\"37758976\"] \n  34 -> 39 [size =\"37758976\"]\n  35 [size=\"85046613\", alpha=\"0.20\", expect_size=\"25513984\"] \n  36 [size=\"18049707\", alpha=\"0.12\", expect_size=\"5414912\"] \n  36 -> 38 [size =\"5414912\"]\n  36 -> 40 [size =\"5414912\"]\n  37 [size=\"170786133\", alpha=\"0.09\", expect_size=\"51235840\"] \n  37 -> 38 [size =\"51235840\"]\n  37 -> 39 [size =\"51235840\"]\n  37 -> 40 [size =\"51235840\"]\n  38 [size=\"105765547\", alpha=\"0.09\", expect_size=\"31729664\"] \n  39 [size=\"77281280\", alpha=\"0.12\", expect_size=\"23184384\"] \n  40 [size=\"24832000\", alpha=\"0.08\", expect_size=\"7449600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64320853\", alpha=\"0.01\", expect_size=\"19296256\"] \n  1 -> 2 [size =\"19296256\"]\n  2 [size=\"134120107\", alpha=\"0.05\", expect_size=\"40236032\"] \n  2 -> 3 [size =\"40236032\"]\n  3 [size=\"156320427\", alpha=\"0.03\", expect_size=\"46896128\"] \n  3 -> 4 [size =\"46896128\"]\n  4 [size=\"116899840\", alpha=\"0.03\", expect_size=\"35069952\"] \n  4 -> 5 [size =\"35069952\"]\n  5 [size=\"173195947\", alpha=\"0.10\", expect_size=\"51958784\"] \n  5 -> 6 [size =\"51958784\"]\n  6 [size=\"69068800\", alpha=\"0.18\", expect_size=\"20720640\"] \n  6 -> 7 [size =\"20720640\"]\n  7 [size=\"132171093\", alpha=\"0.20\", expect_size=\"39651328\"] \n  7 -> 8 [size =\"39651328\"]\n  8 [size=\"173069653\", alpha=\"0.13\", expect_size=\"51920896\"] \n  8 -> 9 [size =\"51920896\"]\n  9 [size=\"101737813\", alpha=\"0.14\", expect_size=\"30521344\"] \n  9 -> 10 [size =\"30521344\"]\n  10 [size=\"86514347\", alpha=\"0.08\", expect_size=\"25954304\"] \n  10 -> 11 [size =\"25954304\"]\n  11 [size=\"108363093\", alpha=\"0.17\", expect_size=\"32508928\"] \n  11 -> 12 [size =\"32508928\"]\n  12 [size=\"112592213\", alpha=\"0.08\", expect_size=\"33777664\"] \n  12 -> 13 [size =\"33777664\"]\n  13 [size=\"150630400\", alpha=\"0.14\", expect_size=\"45189120\"] \n  13 -> 14 [size =\"45189120\"]\n  14 [size=\"171345920\", alpha=\"0.18\", expect_size=\"51403776\"] \n  14 -> 15 [size =\"51403776\"]\n  15 [size=\"40086187\", alpha=\"0.05\", expect_size=\"12025856\"] \n  15 -> 16 [size =\"12025856\"]\n  16 [size=\"120060587\", alpha=\"0.03\", expect_size=\"36018176\"] \n  16 -> 17 [size =\"36018176\"]\n  17 [size=\"106772480\", alpha=\"0.08\", expect_size=\"32031744\"] \n  17 -> 18 [size =\"32031744\"]\n  18 [size=\"104250027\", alpha=\"0.04\", expect_size=\"31275008\"] \n  18 -> 19 [size =\"31275008\"]\n  19 [size=\"45380267\", alpha=\"0.12\", expect_size=\"13614080\"] \n  19 -> 20 [size =\"13614080\"]\n  20 [size=\"152330240\", alpha=\"0.07\", expect_size=\"45699072\"] \n  20 -> 21 [size =\"45699072\"]\n  21 [size=\"59678720\", alpha=\"0.08\", expect_size=\"17903616\"] \n  21 -> 22 [size =\"17903616\"]\n  22 [size=\"33812480\", alpha=\"0.03\", expect_size=\"10143744\"] \n  22 -> 23 [size =\"10143744\"]\n  23 [size=\"98075307\", alpha=\"0.17\", expect_size=\"29422592\"] \n  23 -> 24 [size =\"29422592\"]\n  24 [size=\"52264960\", alpha=\"0.03\", expect_size=\"15679488\"] \n  24 -> 25 [size =\"15679488\"]\n  25 [size=\"37812907\", alpha=\"0.09\", expect_size=\"11343872\"] \n  25 -> 26 [size =\"11343872\"]\n  26 [size=\"76404053\", alpha=\"0.01\", expect_size=\"22921216\"] \n  26 -> 27 [size =\"22921216\"]\n  27 [size=\"103778987\", alpha=\"0.08\", expect_size=\"31133696\"] \n  27 -> 28 [size =\"31133696\"]\n  28 [size=\"170079573\", alpha=\"0.15\", expect_size=\"51023872\"] \n  28 -> 29 [size =\"51023872\"]\n  29 [size=\"46028800\", alpha=\"0.12\", expect_size=\"13808640\"] \n  29 -> 30 [size =\"13808640\"]\n  30 [size=\"138414080\", alpha=\"0.19\", expect_size=\"41524224\"] \n  30 -> 31 [size =\"41524224\"]\n  31 [size=\"33928533\", alpha=\"0.17\", expect_size=\"10178560\"] \n  31 -> 32 [size =\"10178560\"]\n  32 [size=\"93999787\", alpha=\"0.06\", expect_size=\"28199936\"] \n  32 -> 33 [size =\"28199936\"]\n  33 [size=\"120695467\", alpha=\"0.13\", expect_size=\"36208640\"] \n  33 -> 34 [size =\"36208640\"]\n  34 [size=\"95576747\", alpha=\"0.20\", expect_size=\"28673024\"] \n  34 -> 35 [size =\"28673024\"]\n  35 [size=\"118074027\", alpha=\"0.09\", expect_size=\"35422208\"] \n  35 -> 36 [size =\"35422208\"]\n  36 [size=\"29334187\", alpha=\"0.11\", expect_size=\"8800256\"] \n  36 -> 37 [size =\"8800256\"]\n  37 [size=\"38239573\", alpha=\"0.05\", expect_size=\"11471872\"] \n  37 -> 38 [size =\"11471872\"]\n  38 [size=\"102195200\", alpha=\"0.10\", expect_size=\"30658560\"] \n  38 -> 39 [size =\"30658560\"]\n  39 [size=\"62228480\", alpha=\"0.18\", expect_size=\"18668544\"] \n  39 -> 40 [size =\"18668544\"]\n  40 [size=\"159887360\", alpha=\"0.04\", expect_size=\"47966208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95109120\", alpha=\"0.04\", expect_size=\"38043648\"] \n  1 -> 26 [size =\"38043648\"]\n  1 -> 29 [size =\"38043648\"]\n  1 -> 30 [size =\"38043648\"]\n  1 -> 31 [size =\"38043648\"]\n  1 -> 32 [size =\"38043648\"]\n  1 -> 35 [size =\"38043648\"]\n  1 -> 39 [size =\"38043648\"]\n  2 [size=\"74455040\", alpha=\"0.01\", expect_size=\"29782016\"] \n  2 -> 26 [size =\"29782016\"]\n  2 -> 29 [size =\"29782016\"]\n  2 -> 30 [size =\"29782016\"]\n  2 -> 31 [size =\"29782016\"]\n  2 -> 32 [size =\"29782016\"]\n  2 -> 34 [size =\"29782016\"]\n  2 -> 35 [size =\"29782016\"]\n  2 -> 37 [size =\"29782016\"]\n  2 -> 39 [size =\"29782016\"]\n  3 [size=\"31178240\", alpha=\"0.05\", expect_size=\"12471296\"] \n  3 -> 26 [size =\"12471296\"]\n  3 -> 28 [size =\"12471296\"]\n  3 -> 30 [size =\"12471296\"]\n  3 -> 31 [size =\"12471296\"]\n  3 -> 32 [size =\"12471296\"]\n  3 -> 33 [size =\"12471296\"]\n  3 -> 35 [size =\"12471296\"]\n  3 -> 38 [size =\"12471296\"]\n  3 -> 39 [size =\"12471296\"]\n  3 -> 40 [size =\"12471296\"]\n  4 [size=\"57331200\", alpha=\"0.16\", expect_size=\"22932480\"] \n  4 -> 30 [size =\"22932480\"]\n  4 -> 31 [size =\"22932480\"]\n  4 -> 32 [size =\"22932480\"]\n  4 -> 35 [size =\"22932480\"]\n  4 -> 38 [size =\"22932480\"]\n  4 -> 39 [size =\"22932480\"]\n  4 -> 40 [size =\"22932480\"]\n  5 [size=\"35676160\", alpha=\"0.16\", expect_size=\"14270464\"] \n  5 -> 26 [size =\"14270464\"]\n  5 -> 30 [size =\"14270464\"]\n  5 -> 31 [size =\"14270464\"]\n  5 -> 32 [size =\"14270464\"]\n  5 -> 33 [size =\"14270464\"]\n  5 -> 35 [size =\"14270464\"]\n  5 -> 39 [size =\"14270464\"]\n  6 [size=\"34887680\", alpha=\"0.08\", expect_size=\"13955072\"] \n  6 -> 31 [size =\"13955072\"]\n  6 -> 32 [size =\"13955072\"]\n  6 -> 33 [size =\"13955072\"]\n  6 -> 37 [size =\"13955072\"]\n  6 -> 39 [size =\"13955072\"]\n  7 [size=\"43000320\", alpha=\"0.05\", expect_size=\"17200128\"] \n  7 -> 26 [size =\"17200128\"]\n  7 -> 28 [size =\"17200128\"]\n  7 -> 30 [size =\"17200128\"]\n  7 -> 31 [size =\"17200128\"]\n  7 -> 33 [size =\"17200128\"]\n  7 -> 39 [size =\"17200128\"]\n  8 [size=\"67335680\", alpha=\"0.01\", expect_size=\"26934272\"] \n  8 -> 29 [size =\"26934272\"]\n  8 -> 30 [size =\"26934272\"]\n  8 -> 31 [size =\"26934272\"]\n  8 -> 31 [size =\"26934272\"]\n  8 -> 33 [size =\"26934272\"]\n  8 -> 39 [size =\"26934272\"]\n  8 -> 40 [size =\"26934272\"]\n  9 [size=\"76889600\", alpha=\"0.02\", expect_size=\"30755840\"] \n  9 -> 26 [size =\"30755840\"]\n  9 -> 30 [size =\"30755840\"]\n  9 -> 33 [size =\"30755840\"]\n  9 -> 38 [size =\"30755840\"]\n  9 -> 39 [size =\"30755840\"]\n  9 -> 39 [size =\"30755840\"]\n  9 -> 40 [size =\"30755840\"]\n  10 [size=\"73937920\", alpha=\"0.08\", expect_size=\"29575168\"] \n  10 -> 26 [size =\"29575168\"]\n  10 -> 29 [size =\"29575168\"]\n  10 -> 31 [size =\"29575168\"]\n  10 -> 32 [size =\"29575168\"]\n  10 -> 33 [size =\"29575168\"]\n  10 -> 35 [size =\"29575168\"]\n  10 -> 38 [size =\"29575168\"]\n  10 -> 39 [size =\"29575168\"]\n  11 [size=\"111014400\", alpha=\"0.08\", expect_size=\"44405760\"] \n  11 -> 26 [size =\"44405760\"]\n  11 -> 29 [size =\"44405760\"]\n  11 -> 32 [size =\"44405760\"]\n  11 -> 32 [size =\"44405760\"]\n  11 -> 33 [size =\"44405760\"]\n  11 -> 35 [size =\"44405760\"]\n  11 -> 36 [size =\"44405760\"]\n  11 -> 37 [size =\"44405760\"]\n  12 [size=\"18631680\", alpha=\"0.06\", expect_size=\"7452672\"] \n  12 -> 27 [size =\"7452672\"]\n  12 -> 29 [size =\"7452672\"]\n  12 -> 30 [size =\"7452672\"]\n  12 -> 31 [size =\"7452672\"]\n  12 -> 33 [size =\"7452672\"]\n  12 -> 35 [size =\"7452672\"]\n  12 -> 36 [size =\"7452672\"]\n  12 -> 37 [size =\"7452672\"]\n  12 -> 38 [size =\"7452672\"]\n  12 -> 39 [size =\"7452672\"]\n  12 -> 40 [size =\"7452672\"]\n  13 [size=\"26260480\", alpha=\"0.19\", expect_size=\"10504192\"] \n  13 -> 26 [size =\"10504192\"]\n  13 -> 31 [size =\"10504192\"]\n  13 -> 36 [size =\"10504192\"]\n  13 -> 38 [size =\"10504192\"]\n  13 -> 39 [size =\"10504192\"]\n  14 [size=\"52892160\", alpha=\"0.13\", expect_size=\"21156864\"] \n  14 -> 30 [size =\"21156864\"]\n  14 -> 32 [size =\"21156864\"]\n  14 -> 34 [size =\"21156864\"]\n  14 -> 36 [size =\"21156864\"]\n  14 -> 38 [size =\"21156864\"]\n  14 -> 39 [size =\"21156864\"]\n  15 [size=\"30284800\", alpha=\"0.03\", expect_size=\"12113920\"] \n  15 -> 26 [size =\"12113920\"]\n  15 -> 32 [size =\"12113920\"]\n  15 -> 36 [size =\"12113920\"]\n  15 -> 38 [size =\"12113920\"]\n  15 -> 38 [size =\"12113920\"]\n  15 -> 39 [size =\"12113920\"]\n  16 [size=\"122042880\", alpha=\"0.10\", expect_size=\"48817152\"] \n  16 -> 26 [size =\"48817152\"]\n  16 -> 31 [size =\"48817152\"]\n  16 -> 34 [size =\"48817152\"]\n  16 -> 36 [size =\"48817152\"]\n  16 -> 38 [size =\"48817152\"]\n  16 -> 39 [size =\"48817152\"]\n  17 [size=\"50306560\", alpha=\"0.15\", expect_size=\"20122624\"] \n  17 -> 26 [size =\"20122624\"]\n  17 -> 30 [size =\"20122624\"]\n  17 -> 34 [size =\"20122624\"]\n  17 -> 36 [size =\"20122624\"]\n  17 -> 40 [size =\"20122624\"]\n  18 [size=\"80422400\", alpha=\"0.06\", expect_size=\"32168960\"] \n  18 -> 26 [size =\"32168960\"]\n  18 -> 31 [size =\"32168960\"]\n  18 -> 35 [size =\"32168960\"]\n  18 -> 36 [size =\"32168960\"]\n  19 [size=\"85160960\", alpha=\"0.16\", expect_size=\"34064384\"] \n  19 -> 26 [size =\"34064384\"]\n  19 -> 31 [size =\"34064384\"]\n  19 -> 32 [size =\"34064384\"]\n  19 -> 33 [size =\"34064384\"]\n  19 -> 36 [size =\"34064384\"]\n  19 -> 37 [size =\"34064384\"]\n  19 -> 39 [size =\"34064384\"]\n  20 [size=\"98083840\", alpha=\"0.08\", expect_size=\"39233536\"] \n  20 -> 26 [size =\"39233536\"]\n  20 -> 32 [size =\"39233536\"]\n  20 -> 35 [size =\"39233536\"]\n  20 -> 36 [size =\"39233536\"]\n  20 -> 39 [size =\"39233536\"]\n  21 [size=\"28561920\", alpha=\"0.14\", expect_size=\"11424768\"] \n  21 -> 26 [size =\"11424768\"]\n  21 -> 31 [size =\"11424768\"]\n  21 -> 35 [size =\"11424768\"]\n  21 -> 39 [size =\"11424768\"]\n  22 [size=\"77857280\", alpha=\"0.11\", expect_size=\"31142912\"] \n  22 -> 32 [size =\"31142912\"]\n  22 -> 35 [size =\"31142912\"]\n  22 -> 35 [size =\"31142912\"]\n  23 [size=\"112102400\", alpha=\"0.11\", expect_size=\"44840960\"] \n  23 -> 29 [size =\"44840960\"]\n  23 -> 33 [size =\"44840960\"]\n  23 -> 35 [size =\"44840960\"]\n  23 -> 39 [size =\"44840960\"]\n  23 -> 40 [size =\"44840960\"]\n  24 [size=\"108989440\", alpha=\"0.18\", expect_size=\"43595776\"] \n  24 -> 26 [size =\"43595776\"]\n  24 -> 30 [size =\"43595776\"]\n  24 -> 31 [size =\"43595776\"]\n  24 -> 32 [size =\"43595776\"]\n  24 -> 35 [size =\"43595776\"]\n  24 -> 39 [size =\"43595776\"]\n  25 [size=\"64821760\", alpha=\"0.09\", expect_size=\"25928704\"] \n  25 -> 26 [size =\"25928704\"]\n  25 -> 30 [size =\"25928704\"]\n  25 -> 31 [size =\"25928704\"]\n  25 -> 32 [size =\"25928704\"]\n  25 -> 35 [size =\"25928704\"]\n  26 [size=\"82562560\", alpha=\"0.04\", expect_size=\"33025024\"] \n  27 [size=\"21800960\", alpha=\"0.03\", expect_size=\"8720384\"] \n  28 [size=\"111654400\", alpha=\"0.12\", expect_size=\"44661760\"] \n  29 [size=\"28533760\", alpha=\"0.12\", expect_size=\"11413504\"] \n  30 [size=\"121812480\", alpha=\"0.02\", expect_size=\"48724992\"] \n  31 [size=\"51893760\", alpha=\"0.09\", expect_size=\"20757504\"] \n  32 [size=\"18744320\", alpha=\"0.17\", expect_size=\"7497728\"] \n  33 [size=\"83717120\", alpha=\"0.07\", expect_size=\"33486848\"] \n  34 [size=\"28956160\", alpha=\"0.03\", expect_size=\"11582464\"] \n  35 [size=\"16650240\", alpha=\"0.03\", expect_size=\"6660096\"] \n  36 [size=\"69368320\", alpha=\"0.01\", expect_size=\"27747328\"] \n  37 [size=\"90928640\", alpha=\"0.05\", expect_size=\"36371456\"] \n  38 [size=\"111224320\", alpha=\"0.01\", expect_size=\"44489728\"] \n  39 [size=\"66519040\", alpha=\"0.09\", expect_size=\"26607616\"] \n  40 [size=\"20597760\", alpha=\"0.11\", expect_size=\"8239104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18655232\", alpha=\"0.12\", expect_size=\"9327616\"] \n  1 -> 17 [size =\"9327616\"]\n  1 -> 18 [size =\"9327616\"]\n  1 -> 21 [size =\"9327616\"]\n  1 -> 22 [size =\"9327616\"]\n  1 -> 24 [size =\"9327616\"]\n  1 -> 25 [size =\"9327616\"]\n  1 -> 26 [size =\"9327616\"]\n  1 -> 27 [size =\"9327616\"]\n  2 [size=\"72456192\", alpha=\"0.17\", expect_size=\"36228096\"] \n  2 -> 16 [size =\"36228096\"]\n  2 -> 23 [size =\"36228096\"]\n  2 -> 24 [size =\"36228096\"]\n  2 -> 25 [size =\"36228096\"]\n  2 -> 26 [size =\"36228096\"]\n  3 [size=\"33792000\", alpha=\"0.09\", expect_size=\"16896000\"] \n  3 -> 14 [size =\"16896000\"]\n  3 -> 17 [size =\"16896000\"]\n  3 -> 19 [size =\"16896000\"]\n  3 -> 20 [size =\"16896000\"]\n  3 -> 22 [size =\"16896000\"]\n  3 -> 25 [size =\"16896000\"]\n  4 [size=\"49608704\", alpha=\"0.09\", expect_size=\"24804352\"] \n  4 -> 14 [size =\"24804352\"]\n  4 -> 15 [size =\"24804352\"]\n  4 -> 18 [size =\"24804352\"]\n  4 -> 21 [size =\"24804352\"]\n  4 -> 23 [size =\"24804352\"]\n  4 -> 24 [size =\"24804352\"]\n  5 [size=\"24092672\", alpha=\"0.14\", expect_size=\"12046336\"] \n  5 -> 14 [size =\"12046336\"]\n  5 -> 20 [size =\"12046336\"]\n  5 -> 25 [size =\"12046336\"]\n  6 [size=\"78362624\", alpha=\"0.08\", expect_size=\"39181312\"] \n  6 -> 19 [size =\"39181312\"]\n  6 -> 20 [size =\"39181312\"]\n  6 -> 25 [size =\"39181312\"]\n  6 -> 27 [size =\"39181312\"]\n  7 [size=\"73269248\", alpha=\"0.10\", expect_size=\"36634624\"] \n  7 -> 14 [size =\"36634624\"]\n  7 -> 20 [size =\"36634624\"]\n  7 -> 24 [size =\"36634624\"]\n  7 -> 26 [size =\"36634624\"]\n  7 -> 27 [size =\"36634624\"]\n  8 [size=\"10858496\", alpha=\"0.08\", expect_size=\"5429248\"] \n  8 -> 14 [size =\"5429248\"]\n  8 -> 18 [size =\"5429248\"]\n  8 -> 19 [size =\"5429248\"]\n  8 -> 21 [size =\"5429248\"]\n  8 -> 22 [size =\"5429248\"]\n  8 -> 24 [size =\"5429248\"]\n  8 -> 27 [size =\"5429248\"]\n  9 [size=\"86048768\", alpha=\"0.07\", expect_size=\"43024384\"] \n  9 -> 14 [size =\"43024384\"]\n  9 -> 19 [size =\"43024384\"]\n  9 -> 21 [size =\"43024384\"]\n  9 -> 27 [size =\"43024384\"]\n  10 [size=\"40652800\", alpha=\"0.13\", expect_size=\"20326400\"] \n  10 -> 15 [size =\"20326400\"]\n  10 -> 23 [size =\"20326400\"]\n  10 -> 25 [size =\"20326400\"]\n  11 [size=\"101875712\", alpha=\"0.02\", expect_size=\"50937856\"] \n  11 -> 14 [size =\"50937856\"]\n  11 -> 15 [size =\"50937856\"]\n  11 -> 21 [size =\"50937856\"]\n  11 -> 23 [size =\"50937856\"]\n  12 [size=\"63752192\", alpha=\"0.18\", expect_size=\"31876096\"] \n  12 -> 17 [size =\"31876096\"]\n  12 -> 20 [size =\"31876096\"]\n  12 -> 27 [size =\"31876096\"]\n  13 [size=\"50030592\", alpha=\"0.02\", expect_size=\"25015296\"] \n  13 -> 19 [size =\"25015296\"]\n  13 -> 20 [size =\"25015296\"]\n  13 -> 21 [size =\"25015296\"]\n  13 -> 23 [size =\"25015296\"]\n  13 -> 24 [size =\"25015296\"]\n  13 -> 25 [size =\"25015296\"]\n  13 -> 27 [size =\"25015296\"]\n  14 [size=\"93153280\", alpha=\"0.05\", expect_size=\"46576640\"] \n  14 -> 32 [size =\"46576640\"]\n  15 [size=\"40966144\", alpha=\"0.20\", expect_size=\"20483072\"] \n  15 -> 31 [size =\"20483072\"]\n  15 -> 32 [size =\"20483072\"]\n  15 -> 34 [size =\"20483072\"]\n  16 [size=\"14972928\", alpha=\"0.08\", expect_size=\"7486464\"] \n  16 -> 29 [size =\"7486464\"]\n  16 -> 31 [size =\"7486464\"]\n  16 -> 34 [size =\"7486464\"]\n  16 -> 35 [size =\"7486464\"]\n  17 [size=\"51757056\", alpha=\"0.12\", expect_size=\"25878528\"] \n  17 -> 28 [size =\"25878528\"]\n  17 -> 30 [size =\"25878528\"]\n  17 -> 32 [size =\"25878528\"]\n  17 -> 38 [size =\"25878528\"]\n  18 [size=\"98793472\", alpha=\"0.01\", expect_size=\"49396736\"] \n  18 -> 31 [size =\"49396736\"]\n  19 [size=\"41525248\", alpha=\"0.04\", expect_size=\"20762624\"] \n  19 -> 32 [size =\"20762624\"]\n  19 -> 34 [size =\"20762624\"]\n  20 [size=\"75204608\", alpha=\"0.00\", expect_size=\"37602304\"] \n  20 -> 31 [size =\"37602304\"]\n  21 [size=\"43028480\", alpha=\"0.18\", expect_size=\"21514240\"] \n  22 [size=\"54622208\", alpha=\"0.09\", expect_size=\"27311104\"] \n  22 -> 32 [size =\"27311104\"]\n  22 -> 38 [size =\"27311104\"]\n  23 [size=\"44199936\", alpha=\"0.04\", expect_size=\"22099968\"] \n  23 -> 31 [size =\"22099968\"]\n  23 -> 32 [size =\"22099968\"]\n  23 -> 38 [size =\"22099968\"]\n  24 [size=\"52811776\", alpha=\"0.08\", expect_size=\"26405888\"] \n  24 -> 29 [size =\"26405888\"]\n  24 -> 34 [size =\"26405888\"]\n  24 -> 37 [size =\"26405888\"]\n  25 [size=\"78235648\", alpha=\"0.15\", expect_size=\"39117824\"] \n  25 -> 33 [size =\"39117824\"]\n  25 -> 34 [size =\"39117824\"]\n  25 -> 37 [size =\"39117824\"]\n  26 [size=\"76998656\", alpha=\"0.16\", expect_size=\"38499328\"] \n  26 -> 31 [size =\"38499328\"]\n  26 -> 32 [size =\"38499328\"]\n  26 -> 33 [size =\"38499328\"]\n  26 -> 34 [size =\"38499328\"]\n  26 -> 35 [size =\"38499328\"]\n  26 -> 37 [size =\"38499328\"]\n  27 [size=\"19445760\", alpha=\"0.11\", expect_size=\"9722880\"] \n  27 -> 29 [size =\"9722880\"]\n  27 -> 35 [size =\"9722880\"]\n  27 -> 36 [size =\"9722880\"]\n  28 [size=\"75892736\", alpha=\"0.05\", expect_size=\"37946368\"] \n  28 -> 39 [size =\"37946368\"]\n  29 [size=\"82073600\", alpha=\"0.16\", expect_size=\"41036800\"] \n  29 -> 39 [size =\"41036800\"]\n  29 -> 40 [size =\"41036800\"]\n  30 [size=\"102578176\", alpha=\"0.13\", expect_size=\"51289088\"] \n  30 -> 40 [size =\"51289088\"]\n  31 [size=\"103608320\", alpha=\"0.10\", expect_size=\"51804160\"] \n  31 -> 39 [size =\"51804160\"]\n  31 -> 40 [size =\"51804160\"]\n  32 [size=\"93337600\", alpha=\"0.17\", expect_size=\"46668800\"] \n  32 -> 40 [size =\"46668800\"]\n  33 [size=\"39368704\", alpha=\"0.13\", expect_size=\"19684352\"] \n  33 -> 39 [size =\"19684352\"]\n  34 [size=\"59375616\", alpha=\"0.07\", expect_size=\"29687808\"] \n  34 -> 40 [size =\"29687808\"]\n  35 [size=\"98113536\", alpha=\"0.07\", expect_size=\"49056768\"] \n  35 -> 39 [size =\"49056768\"]\n  36 [size=\"74817536\", alpha=\"0.08\", expect_size=\"37408768\"] \n  36 -> 39 [size =\"37408768\"]\n  36 -> 40 [size =\"37408768\"]\n  37 [size=\"57364480\", alpha=\"0.18\", expect_size=\"28682240\"] \n  38 [size=\"14170112\", alpha=\"0.06\", expect_size=\"7085056\"] \n  39 [size=\"39974912\", alpha=\"0.01\", expect_size=\"19987456\"] \n  40 [size=\"21604352\", alpha=\"0.10\", expect_size=\"10802176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50373120\", alpha=\"0.08\", expect_size=\"20149248\"] \n  1 -> 8 [size =\"20149248\"]\n  1 -> 12 [size =\"20149248\"]\n  1 -> 13 [size =\"20149248\"]\n  1 -> 15 [size =\"20149248\"]\n  2 [size=\"74641920\", alpha=\"0.11\", expect_size=\"29856768\"] \n  2 -> 9 [size =\"29856768\"]\n  2 -> 11 [size =\"29856768\"]\n  2 -> 14 [size =\"29856768\"]\n  2 -> 15 [size =\"29856768\"]\n  3 [size=\"102428160\", alpha=\"0.03\", expect_size=\"40971264\"] \n  3 -> 8 [size =\"40971264\"]\n  3 -> 9 [size =\"40971264\"]\n  3 -> 10 [size =\"40971264\"]\n  3 -> 11 [size =\"40971264\"]\n  3 -> 13 [size =\"40971264\"]\n  3 -> 15 [size =\"40971264\"]\n  4 [size=\"56033280\", alpha=\"0.05\", expect_size=\"22413312\"] \n  4 -> 8 [size =\"22413312\"]\n  4 -> 9 [size =\"22413312\"]\n  4 -> 13 [size =\"22413312\"]\n  4 -> 14 [size =\"22413312\"]\n  5 [size=\"25943040\", alpha=\"0.01\", expect_size=\"10377216\"] \n  5 -> 8 [size =\"10377216\"]\n  5 -> 9 [size =\"10377216\"]\n  5 -> 11 [size =\"10377216\"]\n  5 -> 13 [size =\"10377216\"]\n  6 [size=\"130634240\", alpha=\"0.09\", expect_size=\"52253696\"] \n  6 -> 9 [size =\"52253696\"]\n  6 -> 11 [size =\"52253696\"]\n  6 -> 14 [size =\"52253696\"]\n  6 -> 15 [size =\"52253696\"]\n  7 [size=\"66910720\", alpha=\"0.18\", expect_size=\"26764288\"] \n  7 -> 8 [size =\"26764288\"]\n  7 -> 11 [size =\"26764288\"]\n  7 -> 14 [size =\"26764288\"]\n  7 -> 15 [size =\"26764288\"]\n  8 [size=\"105500160\", alpha=\"0.06\", expect_size=\"42200064\"] \n  9 [size=\"23572480\", alpha=\"0.05\", expect_size=\"9428992\"] \n  9 -> 19 [size =\"9428992\"]\n  9 -> 20 [size =\"9428992\"]\n  10 [size=\"130726400\", alpha=\"0.04\", expect_size=\"52290560\"] \n  10 -> 16 [size =\"52290560\"]\n  10 -> 17 [size =\"52290560\"]\n  10 -> 20 [size =\"52290560\"]\n  10 -> 21 [size =\"52290560\"]\n  11 [size=\"60723200\", alpha=\"0.09\", expect_size=\"24289280\"] \n  11 -> 16 [size =\"24289280\"]\n  11 -> 18 [size =\"24289280\"]\n  11 -> 19 [size =\"24289280\"]\n  11 -> 22 [size =\"24289280\"]\n  12 [size=\"105436160\", alpha=\"0.04\", expect_size=\"42174464\"] \n  12 -> 16 [size =\"42174464\"]\n  12 -> 17 [size =\"42174464\"]\n  12 -> 19 [size =\"42174464\"]\n  13 [size=\"49653760\", alpha=\"0.05\", expect_size=\"19861504\"] \n  13 -> 17 [size =\"19861504\"]\n  13 -> 19 [size =\"19861504\"]\n  13 -> 19 [size =\"19861504\"]\n  13 -> 20 [size =\"19861504\"]\n  13 -> 22 [size =\"19861504\"]\n  13 -> 23 [size =\"19861504\"]\n  14 [size=\"68904960\", alpha=\"0.15\", expect_size=\"27561984\"] \n  14 -> 18 [size =\"27561984\"]\n  14 -> 20 [size =\"27561984\"]\n  14 -> 22 [size =\"27561984\"]\n  15 [size=\"98165760\", alpha=\"0.05\", expect_size=\"39266304\"] \n  15 -> 20 [size =\"39266304\"]\n  15 -> 20 [size =\"39266304\"]\n  16 [size=\"104079360\", alpha=\"0.17\", expect_size=\"41631744\"] \n  16 -> 24 [size =\"41631744\"]\n  16 -> 26 [size =\"41631744\"]\n  16 -> 28 [size =\"41631744\"]\n  17 [size=\"39482880\", alpha=\"0.16\", expect_size=\"15793152\"] \n  17 -> 24 [size =\"15793152\"]\n  17 -> 27 [size =\"15793152\"]\n  17 -> 28 [size =\"15793152\"]\n  17 -> 30 [size =\"15793152\"]\n  18 [size=\"26380800\", alpha=\"0.05\", expect_size=\"10552320\"] \n  18 -> 24 [size =\"10552320\"]\n  18 -> 27 [size =\"10552320\"]\n  18 -> 29 [size =\"10552320\"]\n  18 -> 30 [size =\"10552320\"]\n  19 [size=\"59540480\", alpha=\"0.10\", expect_size=\"23816192\"] \n  19 -> 26 [size =\"23816192\"]\n  19 -> 27 [size =\"23816192\"]\n  19 -> 30 [size =\"23816192\"]\n  20 [size=\"88855040\", alpha=\"0.10\", expect_size=\"35542016\"] \n  20 -> 27 [size =\"35542016\"]\n  20 -> 28 [size =\"35542016\"]\n  21 [size=\"112701440\", alpha=\"0.16\", expect_size=\"45080576\"] \n  21 -> 24 [size =\"45080576\"]\n  22 [size=\"47511040\", alpha=\"0.12\", expect_size=\"19004416\"] \n  22 -> 24 [size =\"19004416\"]\n  22 -> 26 [size =\"19004416\"]\n  22 -> 30 [size =\"19004416\"]\n  23 [size=\"72430080\", alpha=\"0.04\", expect_size=\"28972032\"] \n  23 -> 24 [size =\"28972032\"]\n  23 -> 25 [size =\"28972032\"]\n  23 -> 26 [size =\"28972032\"]\n  23 -> 27 [size =\"28972032\"]\n  23 -> 30 [size =\"28972032\"]\n  24 [size=\"99156480\", alpha=\"0.03\", expect_size=\"39662592\"] \n  24 -> 34 [size =\"39662592\"]\n  25 [size=\"67351040\", alpha=\"0.05\", expect_size=\"26940416\"] \n  25 -> 31 [size =\"26940416\"]\n  25 -> 33 [size =\"26940416\"]\n  26 [size=\"99051520\", alpha=\"0.06\", expect_size=\"39620608\"] \n  26 -> 31 [size =\"39620608\"]\n  26 -> 35 [size =\"39620608\"]\n  26 -> 36 [size =\"39620608\"]\n  27 [size=\"79457280\", alpha=\"0.16\", expect_size=\"31782912\"] \n  27 -> 31 [size =\"31782912\"]\n  27 -> 33 [size =\"31782912\"]\n  27 -> 37 [size =\"31782912\"]\n  28 [size=\"54607360\", alpha=\"0.02\", expect_size=\"21842944\"] \n  28 -> 31 [size =\"21842944\"]\n  28 -> 35 [size =\"21842944\"]\n  29 [size=\"86039040\", alpha=\"0.10\", expect_size=\"34415616\"] \n  29 -> 33 [size =\"34415616\"]\n  29 -> 35 [size =\"34415616\"]\n  29 -> 37 [size =\"34415616\"]\n  30 [size=\"24396800\", alpha=\"0.18\", expect_size=\"9758720\"] \n  30 -> 32 [size =\"9758720\"]\n  30 -> 36 [size =\"9758720\"]\n  30 -> 38 [size =\"9758720\"]\n  31 [size=\"80483840\", alpha=\"0.14\", expect_size=\"32193536\"] \n  31 -> 40 [size =\"32193536\"]\n  32 [size=\"55633920\", alpha=\"0.05\", expect_size=\"22253568\"] \n  32 -> 39 [size =\"22253568\"]\n  32 -> 40 [size =\"22253568\"]\n  33 [size=\"129349120\", alpha=\"0.03\", expect_size=\"51739648\"] \n  33 -> 39 [size =\"51739648\"]\n  34 [size=\"37056000\", alpha=\"0.10\", expect_size=\"14822400\"] \n  34 -> 40 [size =\"14822400\"]\n  35 [size=\"57615360\", alpha=\"0.12\", expect_size=\"23046144\"] \n  35 -> 39 [size =\"23046144\"]\n  35 -> 40 [size =\"23046144\"]\n  36 [size=\"85898240\", alpha=\"0.09\", expect_size=\"34359296\"] \n  36 -> 39 [size =\"34359296\"]\n  37 [size=\"121466880\", alpha=\"0.10\", expect_size=\"48586752\"] \n  38 [size=\"100165120\", alpha=\"0.14\", expect_size=\"40066048\"] \n  38 -> 39 [size =\"40066048\"]\n  39 [size=\"114383360\", alpha=\"0.05\", expect_size=\"45753344\"] \n  40 [size=\"56624640\", alpha=\"0.10\", expect_size=\"22649856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93030400\", alpha=\"0.13\", expect_size=\"27909120\"] \n  1 -> 14 [size =\"27909120\"]\n  1 -> 15 [size =\"27909120\"]\n  1 -> 16 [size =\"27909120\"]\n  1 -> 17 [size =\"27909120\"]\n  1 -> 19 [size =\"27909120\"]\n  1 -> 20 [size =\"27909120\"]\n  1 -> 21 [size =\"27909120\"]\n  1 -> 25 [size =\"27909120\"]\n  2 [size=\"117012480\", alpha=\"0.10\", expect_size=\"35103744\"] \n  2 -> 15 [size =\"35103744\"]\n  2 -> 19 [size =\"35103744\"]\n  2 -> 23 [size =\"35103744\"]\n  2 -> 25 [size =\"35103744\"]\n  2 -> 26 [size =\"35103744\"]\n  3 [size=\"118190080\", alpha=\"0.06\", expect_size=\"35457024\"] \n  3 -> 15 [size =\"35457024\"]\n  3 -> 19 [size =\"35457024\"]\n  3 -> 23 [size =\"35457024\"]\n  3 -> 25 [size =\"35457024\"]\n  3 -> 26 [size =\"35457024\"]\n  4 [size=\"40277333\", alpha=\"0.14\", expect_size=\"12083200\"] \n  4 -> 14 [size =\"12083200\"]\n  4 -> 15 [size =\"12083200\"]\n  4 -> 20 [size =\"12083200\"]\n  4 -> 21 [size =\"12083200\"]\n  4 -> 23 [size =\"12083200\"]\n  4 -> 25 [size =\"12083200\"]\n  4 -> 26 [size =\"12083200\"]\n  5 [size=\"110397440\", alpha=\"0.19\", expect_size=\"33119232\"] \n  5 -> 14 [size =\"33119232\"]\n  5 -> 15 [size =\"33119232\"]\n  5 -> 17 [size =\"33119232\"]\n  5 -> 18 [size =\"33119232\"]\n  5 -> 19 [size =\"33119232\"]\n  5 -> 21 [size =\"33119232\"]\n  5 -> 23 [size =\"33119232\"]\n  5 -> 25 [size =\"33119232\"]\n  5 -> 26 [size =\"33119232\"]\n  6 [size=\"118094507\", alpha=\"0.08\", expect_size=\"35428352\"] \n  6 -> 17 [size =\"35428352\"]\n  6 -> 19 [size =\"35428352\"]\n  6 -> 20 [size =\"35428352\"]\n  6 -> 21 [size =\"35428352\"]\n  6 -> 25 [size =\"35428352\"]\n  7 [size=\"46298453\", alpha=\"0.04\", expect_size=\"13889536\"] \n  7 -> 19 [size =\"13889536\"]\n  7 -> 20 [size =\"13889536\"]\n  7 -> 21 [size =\"13889536\"]\n  7 -> 21 [size =\"13889536\"]\n  7 -> 26 [size =\"13889536\"]\n  8 [size=\"62279680\", alpha=\"0.06\", expect_size=\"18683904\"] \n  8 -> 15 [size =\"18683904\"]\n  8 -> 19 [size =\"18683904\"]\n  8 -> 20 [size =\"18683904\"]\n  8 -> 21 [size =\"18683904\"]\n  8 -> 22 [size =\"18683904\"]\n  8 -> 25 [size =\"18683904\"]\n  9 [size=\"135195307\", alpha=\"0.13\", expect_size=\"40558592\"] \n  9 -> 15 [size =\"40558592\"]\n  9 -> 16 [size =\"40558592\"]\n  9 -> 19 [size =\"40558592\"]\n  9 -> 20 [size =\"40558592\"]\n  9 -> 21 [size =\"40558592\"]\n  9 -> 25 [size =\"40558592\"]\n  9 -> 26 [size =\"40558592\"]\n  10 [size=\"74291200\", alpha=\"0.02\", expect_size=\"22287360\"] \n  10 -> 15 [size =\"22287360\"]\n  10 -> 17 [size =\"22287360\"]\n  10 -> 19 [size =\"22287360\"]\n  10 -> 20 [size =\"22287360\"]\n  10 -> 21 [size =\"22287360\"]\n  11 [size=\"77581653\", alpha=\"0.17\", expect_size=\"23274496\"] \n  11 -> 14 [size =\"23274496\"]\n  11 -> 15 [size =\"23274496\"]\n  11 -> 17 [size =\"23274496\"]\n  11 -> 19 [size =\"23274496\"]\n  11 -> 20 [size =\"23274496\"]\n  11 -> 21 [size =\"23274496\"]\n  11 -> 24 [size =\"23274496\"]\n  11 -> 25 [size =\"23274496\"]\n  12 [size=\"22586027\", alpha=\"0.00\", expect_size=\"6775808\"] \n  12 -> 18 [size =\"6775808\"]\n  12 -> 19 [size =\"6775808\"]\n  12 -> 21 [size =\"6775808\"]\n  12 -> 23 [size =\"6775808\"]\n  13 [size=\"97624747\", alpha=\"0.12\", expect_size=\"29287424\"] \n  13 -> 17 [size =\"29287424\"]\n  13 -> 19 [size =\"29287424\"]\n  13 -> 20 [size =\"29287424\"]\n  13 -> 25 [size =\"29287424\"]\n  13 -> 26 [size =\"29287424\"]\n  14 [size=\"142421333\", alpha=\"0.07\", expect_size=\"42726400\"] \n  14 -> 30 [size =\"42726400\"]\n  14 -> 33 [size =\"42726400\"]\n  14 -> 34 [size =\"42726400\"]\n  14 -> 36 [size =\"42726400\"]\n  14 -> 38 [size =\"42726400\"]\n  15 [size=\"97563307\", alpha=\"0.11\", expect_size=\"29268992\"] \n  15 -> 27 [size =\"29268992\"]\n  15 -> 33 [size =\"29268992\"]\n  15 -> 36 [size =\"29268992\"]\n  15 -> 38 [size =\"29268992\"]\n  15 -> 38 [size =\"29268992\"]\n  16 [size=\"92839253\", alpha=\"0.17\", expect_size=\"27851776\"] \n  16 -> 27 [size =\"27851776\"]\n  16 -> 28 [size =\"27851776\"]\n  16 -> 35 [size =\"27851776\"]\n  16 -> 38 [size =\"27851776\"]\n  17 [size=\"156832427\", alpha=\"0.18\", expect_size=\"47049728\"] \n  17 -> 38 [size =\"47049728\"]\n  18 [size=\"30286507\", alpha=\"0.14\", expect_size=\"9085952\"] \n  18 -> 36 [size =\"9085952\"]\n  18 -> 37 [size =\"9085952\"]\n  18 -> 38 [size =\"9085952\"]\n  19 [size=\"80295253\", alpha=\"0.14\", expect_size=\"24088576\"] \n  19 -> 28 [size =\"24088576\"]\n  19 -> 29 [size =\"24088576\"]\n  19 -> 30 [size =\"24088576\"]\n  19 -> 31 [size =\"24088576\"]\n  19 -> 32 [size =\"24088576\"]\n  19 -> 37 [size =\"24088576\"]\n  20 [size=\"21862400\", alpha=\"0.07\", expect_size=\"6558720\"] \n  20 -> 27 [size =\"6558720\"]\n  20 -> 28 [size =\"6558720\"]\n  20 -> 29 [size =\"6558720\"]\n  20 -> 30 [size =\"6558720\"]\n  20 -> 33 [size =\"6558720\"]\n  20 -> 36 [size =\"6558720\"]\n  20 -> 37 [size =\"6558720\"]\n  20 -> 38 [size =\"6558720\"]\n  21 [size=\"34822827\", alpha=\"0.10\", expect_size=\"10446848\"] \n  21 -> 30 [size =\"10446848\"]\n  21 -> 31 [size =\"10446848\"]\n  21 -> 33 [size =\"10446848\"]\n  21 -> 36 [size =\"10446848\"]\n  22 [size=\"165270187\", alpha=\"0.05\", expect_size=\"49581056\"] \n  22 -> 27 [size =\"49581056\"]\n  22 -> 29 [size =\"49581056\"]\n  22 -> 31 [size =\"49581056\"]\n  22 -> 33 [size =\"49581056\"]\n  22 -> 36 [size =\"49581056\"]\n  23 [size=\"166662827\", alpha=\"0.13\", expect_size=\"49998848\"] \n  23 -> 29 [size =\"49998848\"]\n  23 -> 29 [size =\"49998848\"]\n  23 -> 31 [size =\"49998848\"]\n  23 -> 32 [size =\"49998848\"]\n  23 -> 33 [size =\"49998848\"]\n  23 -> 36 [size =\"49998848\"]\n  23 -> 37 [size =\"49998848\"]\n  24 [size=\"105366187\", alpha=\"0.04\", expect_size=\"31609856\"] \n  24 -> 28 [size =\"31609856\"]\n  24 -> 29 [size =\"31609856\"]\n  24 -> 31 [size =\"31609856\"]\n  24 -> 33 [size =\"31609856\"]\n  24 -> 34 [size =\"31609856\"]\n  24 -> 36 [size =\"31609856\"]\n  24 -> 37 [size =\"31609856\"]\n  25 [size=\"157419520\", alpha=\"0.07\", expect_size=\"47225856\"] \n  25 -> 28 [size =\"47225856\"]\n  25 -> 29 [size =\"47225856\"]\n  25 -> 31 [size =\"47225856\"]\n  25 -> 33 [size =\"47225856\"]\n  25 -> 36 [size =\"47225856\"]\n  25 -> 37 [size =\"47225856\"]\n  25 -> 37 [size =\"47225856\"]\n  25 -> 38 [size =\"47225856\"]\n  26 [size=\"87166293\", alpha=\"0.03\", expect_size=\"26149888\"] \n  26 -> 28 [size =\"26149888\"]\n  26 -> 29 [size =\"26149888\"]\n  26 -> 33 [size =\"26149888\"]\n  26 -> 33 [size =\"26149888\"]\n  26 -> 36 [size =\"26149888\"]\n  26 -> 37 [size =\"26149888\"]\n  26 -> 38 [size =\"26149888\"]\n  26 -> 38 [size =\"26149888\"]\n  27 [size=\"67331413\", alpha=\"0.02\", expect_size=\"20199424\"] \n  27 -> 39 [size =\"20199424\"]\n  28 [size=\"48831147\", alpha=\"0.07\", expect_size=\"14649344\"] \n  28 -> 39 [size =\"14649344\"]\n  28 -> 40 [size =\"14649344\"]\n  29 [size=\"159433387\", alpha=\"0.07\", expect_size=\"47830016\"] \n  29 -> 39 [size =\"47830016\"]\n  30 [size=\"110127787\", alpha=\"0.15\", expect_size=\"33038336\"] \n  30 -> 39 [size =\"33038336\"]\n  30 -> 40 [size =\"33038336\"]\n  31 [size=\"163952640\", alpha=\"0.09\", expect_size=\"49185792\"] \n  31 -> 39 [size =\"49185792\"]\n  31 -> 40 [size =\"49185792\"]\n  32 [size=\"81892693\", alpha=\"0.05\", expect_size=\"24567808\"] \n  32 -> 39 [size =\"24567808\"]\n  32 -> 40 [size =\"24567808\"]\n  33 [size=\"120773973\", alpha=\"0.11\", expect_size=\"36232192\"] \n  34 [size=\"66740907\", alpha=\"0.12\", expect_size=\"20022272\"] \n  34 -> 39 [size =\"20022272\"]\n  35 [size=\"99874133\", alpha=\"0.04\", expect_size=\"29962240\"] \n  35 -> 39 [size =\"29962240\"]\n  36 [size=\"155818667\", alpha=\"0.05\", expect_size=\"46745600\"] \n  36 -> 39 [size =\"46745600\"]\n  36 -> 40 [size =\"46745600\"]\n  37 [size=\"20619947\", alpha=\"0.05\", expect_size=\"6185984\"] \n  37 -> 40 [size =\"6185984\"]\n  38 [size=\"37672960\", alpha=\"0.05\", expect_size=\"11301888\"] \n  38 -> 39 [size =\"11301888\"]\n  39 [size=\"94498133\", alpha=\"0.14\", expect_size=\"28349440\"] \n  40 [size=\"151528107\", alpha=\"0.03\", expect_size=\"45458432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11532288\", alpha=\"0.06\", expect_size=\"5766144\"] \n  1 -> 35 [size =\"5766144\"]\n  1 -> 38 [size =\"5766144\"]\n  2 [size=\"43038720\", alpha=\"0.17\", expect_size=\"21519360\"] \n  3 [size=\"103526400\", alpha=\"0.16\", expect_size=\"51763200\"] \n  4 [size=\"90300416\", alpha=\"0.02\", expect_size=\"45150208\"] \n  4 -> 40 [size =\"45150208\"]\n  5 [size=\"70885376\", alpha=\"0.17\", expect_size=\"35442688\"] \n  5 -> 35 [size =\"35442688\"]\n  5 -> 36 [size =\"35442688\"]\n  5 -> 38 [size =\"35442688\"]\n  5 -> 39 [size =\"35442688\"]\n  6 [size=\"83032064\", alpha=\"0.17\", expect_size=\"41516032\"] \n  6 -> 35 [size =\"41516032\"]\n  6 -> 38 [size =\"41516032\"]\n  7 [size=\"27971584\", alpha=\"0.09\", expect_size=\"13985792\"] \n  7 -> 38 [size =\"13985792\"]\n  7 -> 39 [size =\"13985792\"]\n  8 [size=\"74950656\", alpha=\"0.18\", expect_size=\"37475328\"] \n  8 -> 38 [size =\"37475328\"]\n  9 [size=\"85475328\", alpha=\"0.13\", expect_size=\"42737664\"] \n  9 -> 36 [size =\"42737664\"]\n  9 -> 38 [size =\"42737664\"]\n  10 [size=\"47507456\", alpha=\"0.12\", expect_size=\"23753728\"] \n  10 -> 38 [size =\"23753728\"]\n  11 [size=\"27744256\", alpha=\"0.11\", expect_size=\"13872128\"] \n  11 -> 36 [size =\"13872128\"]\n  11 -> 38 [size =\"13872128\"]\n  12 [size=\"57786368\", alpha=\"0.11\", expect_size=\"28893184\"] \n  13 [size=\"41887744\", alpha=\"0.05\", expect_size=\"20943872\"] \n  14 [size=\"20998144\", alpha=\"0.06\", expect_size=\"10499072\"] \n  14 -> 38 [size =\"10499072\"]\n  14 -> 40 [size =\"10499072\"]\n  15 [size=\"31789056\", alpha=\"0.12\", expect_size=\"15894528\"] \n  15 -> 38 [size =\"15894528\"]\n  16 [size=\"18774016\", alpha=\"0.02\", expect_size=\"9387008\"] \n  16 -> 35 [size =\"9387008\"]\n  17 [size=\"99627008\", alpha=\"0.04\", expect_size=\"49813504\"] \n  17 -> 38 [size =\"49813504\"]\n  17 -> 40 [size =\"49813504\"]\n  18 [size=\"49149952\", alpha=\"0.02\", expect_size=\"24574976\"] \n  18 -> 38 [size =\"24574976\"]\n  19 [size=\"40472576\", alpha=\"0.06\", expect_size=\"20236288\"] \n  19 -> 39 [size =\"20236288\"]\n  20 [size=\"102356992\", alpha=\"0.02\", expect_size=\"51178496\"] \n  21 [size=\"65169408\", alpha=\"0.18\", expect_size=\"32584704\"] \n  21 -> 35 [size =\"32584704\"]\n  21 -> 40 [size =\"32584704\"]\n  22 [size=\"21061632\", alpha=\"0.02\", expect_size=\"10530816\"] \n  22 -> 35 [size =\"10530816\"]\n  23 [size=\"74844160\", alpha=\"0.05\", expect_size=\"37422080\"] \n  23 -> 35 [size =\"37422080\"]\n  24 [size=\"99387392\", alpha=\"0.05\", expect_size=\"49693696\"] \n  24 -> 35 [size =\"49693696\"]\n  24 -> 36 [size =\"49693696\"]\n  25 [size=\"35100672\", alpha=\"0.18\", expect_size=\"17550336\"] \n  25 -> 35 [size =\"17550336\"]\n  25 -> 38 [size =\"17550336\"]\n  26 [size=\"91770880\", alpha=\"0.06\", expect_size=\"45885440\"] \n  26 -> 38 [size =\"45885440\"]\n  27 [size=\"100618240\", alpha=\"0.18\", expect_size=\"50309120\"] \n  28 [size=\"24727552\", alpha=\"0.03\", expect_size=\"12363776\"] \n  28 -> 38 [size =\"12363776\"]\n  29 [size=\"34865152\", alpha=\"0.05\", expect_size=\"17432576\"] \n  29 -> 35 [size =\"17432576\"]\n  30 [size=\"60958720\", alpha=\"0.14\", expect_size=\"30479360\"] \n  31 [size=\"69474304\", alpha=\"0.07\", expect_size=\"34737152\"] \n  31 -> 35 [size =\"34737152\"]\n  32 [size=\"61460480\", alpha=\"0.10\", expect_size=\"30730240\"] \n  32 -> 35 [size =\"30730240\"]\n  32 -> 37 [size =\"30730240\"]\n  33 [size=\"69470208\", alpha=\"0.20\", expect_size=\"34735104\"] \n  33 -> 35 [size =\"34735104\"]\n  34 [size=\"92174336\", alpha=\"0.12\", expect_size=\"46087168\"] \n  34 -> 37 [size =\"46087168\"]\n  34 -> 38 [size =\"46087168\"]\n  34 -> 40 [size =\"46087168\"]\n  35 [size=\"20645888\", alpha=\"0.08\", expect_size=\"10322944\"] \n  36 [size=\"104028160\", alpha=\"0.06\", expect_size=\"52014080\"] \n  37 [size=\"37384192\", alpha=\"0.03\", expect_size=\"18692096\"] \n  38 [size=\"26941440\", alpha=\"0.08\", expect_size=\"13470720\"] \n  39 [size=\"42797056\", alpha=\"0.00\", expect_size=\"21398528\"] \n  40 [size=\"65568768\", alpha=\"0.11\", expect_size=\"32784384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114090667\", alpha=\"0.14\", expect_size=\"34227200\"] \n  1 -> 35 [size =\"34227200\"]\n  1 -> 39 [size =\"34227200\"]\n  1 -> 39 [size =\"34227200\"]\n  2 [size=\"140813653\", alpha=\"0.18\", expect_size=\"42244096\"] \n  2 -> 28 [size =\"42244096\"]\n  2 -> 29 [size =\"42244096\"]\n  2 -> 39 [size =\"42244096\"]\n  3 [size=\"32276480\", alpha=\"0.06\", expect_size=\"9682944\"] \n  3 -> 29 [size =\"9682944\"]\n  3 -> 31 [size =\"9682944\"]\n  3 -> 39 [size =\"9682944\"]\n  4 [size=\"122292907\", alpha=\"0.14\", expect_size=\"36687872\"] \n  4 -> 29 [size =\"36687872\"]\n  4 -> 31 [size =\"36687872\"]\n  4 -> 33 [size =\"36687872\"]\n  4 -> 34 [size =\"36687872\"]\n  4 -> 36 [size =\"36687872\"]\n  4 -> 39 [size =\"36687872\"]\n  5 [size=\"114937173\", alpha=\"0.14\", expect_size=\"34481152\"] \n  5 -> 31 [size =\"34481152\"]\n  5 -> 33 [size =\"34481152\"]\n  5 -> 34 [size =\"34481152\"]\n  5 -> 37 [size =\"34481152\"]\n  5 -> 39 [size =\"34481152\"]\n  5 -> 39 [size =\"34481152\"]\n  5 -> 40 [size =\"34481152\"]\n  6 [size=\"142237013\", alpha=\"0.04\", expect_size=\"42671104\"] \n  6 -> 39 [size =\"42671104\"]\n  6 -> 40 [size =\"42671104\"]\n  7 [size=\"68659200\", alpha=\"0.17\", expect_size=\"20597760\"] \n  7 -> 28 [size =\"20597760\"]\n  7 -> 31 [size =\"20597760\"]\n  7 -> 35 [size =\"20597760\"]\n  7 -> 39 [size =\"20597760\"]\n  7 -> 40 [size =\"20597760\"]\n  8 [size=\"83554987\", alpha=\"0.17\", expect_size=\"25066496\"] \n  8 -> 29 [size =\"25066496\"]\n  8 -> 30 [size =\"25066496\"]\n  8 -> 31 [size =\"25066496\"]\n  8 -> 33 [size =\"25066496\"]\n  8 -> 35 [size =\"25066496\"]\n  8 -> 39 [size =\"25066496\"]\n  9 [size=\"50227200\", alpha=\"0.07\", expect_size=\"15068160\"] \n  9 -> 28 [size =\"15068160\"]\n  9 -> 35 [size =\"15068160\"]\n  9 -> 38 [size =\"15068160\"]\n  10 [size=\"19551573\", alpha=\"0.20\", expect_size=\"5865472\"] \n  10 -> 28 [size =\"5865472\"]\n  10 -> 29 [size =\"5865472\"]\n  10 -> 31 [size =\"5865472\"]\n  10 -> 38 [size =\"5865472\"]\n  10 -> 40 [size =\"5865472\"]\n  11 [size=\"116394667\", alpha=\"0.11\", expect_size=\"34918400\"] \n  11 -> 28 [size =\"34918400\"]\n  11 -> 31 [size =\"34918400\"]\n  11 -> 31 [size =\"34918400\"]\n  11 -> 33 [size =\"34918400\"]\n  11 -> 34 [size =\"34918400\"]\n  11 -> 38 [size =\"34918400\"]\n  11 -> 40 [size =\"34918400\"]\n  12 [size=\"66874027\", alpha=\"0.16\", expect_size=\"20062208\"] \n  12 -> 28 [size =\"20062208\"]\n  12 -> 29 [size =\"20062208\"]\n  12 -> 33 [size =\"20062208\"]\n  12 -> 33 [size =\"20062208\"]\n  12 -> 34 [size =\"20062208\"]\n  12 -> 37 [size =\"20062208\"]\n  12 -> 40 [size =\"20062208\"]\n  13 [size=\"54309547\", alpha=\"0.14\", expect_size=\"16292864\"] \n  13 -> 33 [size =\"16292864\"]\n  13 -> 35 [size =\"16292864\"]\n  13 -> 37 [size =\"16292864\"]\n  13 -> 40 [size =\"16292864\"]\n  14 [size=\"100829867\", alpha=\"0.11\", expect_size=\"30248960\"] \n  14 -> 28 [size =\"30248960\"]\n  14 -> 30 [size =\"30248960\"]\n  14 -> 32 [size =\"30248960\"]\n  14 -> 37 [size =\"30248960\"]\n  14 -> 38 [size =\"30248960\"]\n  14 -> 40 [size =\"30248960\"]\n  15 [size=\"56108373\", alpha=\"0.15\", expect_size=\"16832512\"] \n  15 -> 28 [size =\"16832512\"]\n  15 -> 29 [size =\"16832512\"]\n  15 -> 30 [size =\"16832512\"]\n  15 -> 35 [size =\"16832512\"]\n  15 -> 37 [size =\"16832512\"]\n  15 -> 40 [size =\"16832512\"]\n  16 [size=\"169758720\", alpha=\"0.02\", expect_size=\"50927616\"] \n  16 -> 28 [size =\"50927616\"]\n  16 -> 29 [size =\"50927616\"]\n  16 -> 33 [size =\"50927616\"]\n  16 -> 34 [size =\"50927616\"]\n  16 -> 35 [size =\"50927616\"]\n  16 -> 37 [size =\"50927616\"]\n  17 [size=\"40314880\", alpha=\"0.06\", expect_size=\"12094464\"] \n  17 -> 29 [size =\"12094464\"]\n  17 -> 29 [size =\"12094464\"]\n  17 -> 30 [size =\"12094464\"]\n  17 -> 31 [size =\"12094464\"]\n  17 -> 37 [size =\"12094464\"]\n  17 -> 39 [size =\"12094464\"]\n  18 [size=\"19319467\", alpha=\"0.03\", expect_size=\"5795840\"] \n  18 -> 31 [size =\"5795840\"]\n  18 -> 33 [size =\"5795840\"]\n  18 -> 37 [size =\"5795840\"]\n  18 -> 39 [size =\"5795840\"]\n  19 [size=\"154801493\", alpha=\"0.04\", expect_size=\"46440448\"] \n  19 -> 29 [size =\"46440448\"]\n  19 -> 31 [size =\"46440448\"]\n  19 -> 32 [size =\"46440448\"]\n  19 -> 40 [size =\"46440448\"]\n  20 [size=\"50073600\", alpha=\"0.15\", expect_size=\"15022080\"] \n  20 -> 29 [size =\"15022080\"]\n  20 -> 31 [size =\"15022080\"]\n  20 -> 33 [size =\"15022080\"]\n  20 -> 36 [size =\"15022080\"]\n  20 -> 37 [size =\"15022080\"]\n  20 -> 40 [size =\"15022080\"]\n  21 [size=\"49974613\", alpha=\"0.18\", expect_size=\"14992384\"] \n  21 -> 30 [size =\"14992384\"]\n  21 -> 33 [size =\"14992384\"]\n  21 -> 34 [size =\"14992384\"]\n  21 -> 35 [size =\"14992384\"]\n  21 -> 38 [size =\"14992384\"]\n  21 -> 40 [size =\"14992384\"]\n  22 [size=\"138690560\", alpha=\"0.17\", expect_size=\"41607168\"] \n  22 -> 29 [size =\"41607168\"]\n  22 -> 32 [size =\"41607168\"]\n  22 -> 37 [size =\"41607168\"]\n  22 -> 39 [size =\"41607168\"]\n  22 -> 40 [size =\"41607168\"]\n  23 [size=\"110493013\", alpha=\"0.17\", expect_size=\"33147904\"] \n  23 -> 29 [size =\"33147904\"]\n  23 -> 30 [size =\"33147904\"]\n  23 -> 34 [size =\"33147904\"]\n  23 -> 35 [size =\"33147904\"]\n  23 -> 37 [size =\"33147904\"]\n  24 [size=\"59678720\", alpha=\"0.11\", expect_size=\"17903616\"] \n  24 -> 30 [size =\"17903616\"]\n  24 -> 34 [size =\"17903616\"]\n  24 -> 34 [size =\"17903616\"]\n  24 -> 35 [size =\"17903616\"]\n  24 -> 37 [size =\"17903616\"]\n  24 -> 39 [size =\"17903616\"]\n  25 [size=\"143711573\", alpha=\"0.17\", expect_size=\"43113472\"] \n  25 -> 31 [size =\"43113472\"]\n  25 -> 34 [size =\"43113472\"]\n  25 -> 39 [size =\"43113472\"]\n  25 -> 40 [size =\"43113472\"]\n  26 [size=\"101304320\", alpha=\"0.20\", expect_size=\"30391296\"] \n  26 -> 30 [size =\"30391296\"]\n  26 -> 31 [size =\"30391296\"]\n  26 -> 32 [size =\"30391296\"]\n  26 -> 35 [size =\"30391296\"]\n  26 -> 37 [size =\"30391296\"]\n  26 -> 39 [size =\"30391296\"]\n  26 -> 40 [size =\"30391296\"]\n  27 [size=\"117712213\", alpha=\"0.08\", expect_size=\"35313664\"] \n  27 -> 31 [size =\"35313664\"]\n  27 -> 36 [size =\"35313664\"]\n  27 -> 39 [size =\"35313664\"]\n  28 [size=\"166154240\", alpha=\"0.05\", expect_size=\"49846272\"] \n  29 [size=\"35703467\", alpha=\"0.06\", expect_size=\"10711040\"] \n  30 [size=\"70464853\", alpha=\"0.08\", expect_size=\"21139456\"] \n  31 [size=\"31979520\", alpha=\"0.02\", expect_size=\"9593856\"] \n  32 [size=\"174148267\", alpha=\"0.02\", expect_size=\"52244480\"] \n  33 [size=\"148452693\", alpha=\"0.07\", expect_size=\"44535808\"] \n  34 [size=\"126982827\", alpha=\"0.03\", expect_size=\"38094848\"] \n  35 [size=\"57265493\", alpha=\"0.03\", expect_size=\"17179648\"] \n  36 [size=\"36771840\", alpha=\"0.03\", expect_size=\"11031552\"] \n  37 [size=\"32972800\", alpha=\"0.06\", expect_size=\"9891840\"] \n  38 [size=\"97054720\", alpha=\"0.09\", expect_size=\"29116416\"] \n  39 [size=\"137816747\", alpha=\"0.10\", expect_size=\"41345024\"] \n  40 [size=\"30720000\", alpha=\"0.14\", expect_size=\"9216000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17600512\", alpha=\"0.18\", expect_size=\"8800256\"] \n  1 -> 2 [size =\"8800256\"]\n  2 [size=\"32118784\", alpha=\"0.10\", expect_size=\"16059392\"] \n  2 -> 3 [size =\"16059392\"]\n  3 [size=\"89524224\", alpha=\"0.16\", expect_size=\"44762112\"] \n  3 -> 4 [size =\"44762112\"]\n  4 [size=\"66144256\", alpha=\"0.15\", expect_size=\"33072128\"] \n  4 -> 5 [size =\"33072128\"]\n  5 [size=\"47529984\", alpha=\"0.08\", expect_size=\"23764992\"] \n  5 -> 6 [size =\"23764992\"]\n  6 [size=\"29687808\", alpha=\"0.10\", expect_size=\"14843904\"] \n  6 -> 7 [size =\"14843904\"]\n  7 [size=\"70148096\", alpha=\"0.03\", expect_size=\"35074048\"] \n  7 -> 8 [size =\"35074048\"]\n  8 [size=\"93884416\", alpha=\"0.04\", expect_size=\"46942208\"] \n  8 -> 9 [size =\"46942208\"]\n  9 [size=\"43720704\", alpha=\"0.06\", expect_size=\"21860352\"] \n  9 -> 10 [size =\"21860352\"]\n  10 [size=\"61753344\", alpha=\"0.19\", expect_size=\"30876672\"] \n  10 -> 11 [size =\"30876672\"]\n  11 [size=\"98781184\", alpha=\"0.07\", expect_size=\"49390592\"] \n  11 -> 12 [size =\"49390592\"]\n  12 [size=\"87263232\", alpha=\"0.02\", expect_size=\"43631616\"] \n  12 -> 13 [size =\"43631616\"]\n  13 [size=\"37738496\", alpha=\"0.18\", expect_size=\"18869248\"] \n  13 -> 14 [size =\"18869248\"]\n  14 [size=\"17938432\", alpha=\"0.05\", expect_size=\"8969216\"] \n  14 -> 15 [size =\"8969216\"]\n  15 [size=\"88909824\", alpha=\"0.06\", expect_size=\"44454912\"] \n  15 -> 16 [size =\"44454912\"]\n  16 [size=\"32688128\", alpha=\"0.13\", expect_size=\"16344064\"] \n  16 -> 17 [size =\"16344064\"]\n  17 [size=\"81721344\", alpha=\"0.11\", expect_size=\"40860672\"] \n  17 -> 18 [size =\"40860672\"]\n  18 [size=\"95422464\", alpha=\"0.16\", expect_size=\"47711232\"] \n  18 -> 19 [size =\"47711232\"]\n  19 [size=\"20797440\", alpha=\"0.02\", expect_size=\"10398720\"] \n  19 -> 20 [size =\"10398720\"]\n  20 [size=\"51214336\", alpha=\"0.00\", expect_size=\"25607168\"] \n  20 -> 21 [size =\"25607168\"]\n  21 [size=\"45594624\", alpha=\"0.19\", expect_size=\"22797312\"] \n  21 -> 22 [size =\"22797312\"]\n  22 [size=\"80240640\", alpha=\"0.03\", expect_size=\"40120320\"] \n  22 -> 23 [size =\"40120320\"]\n  23 [size=\"90202112\", alpha=\"0.04\", expect_size=\"45101056\"] \n  23 -> 24 [size =\"45101056\"]\n  24 [size=\"82737152\", alpha=\"0.16\", expect_size=\"41368576\"] \n  24 -> 25 [size =\"41368576\"]\n  25 [size=\"104087552\", alpha=\"0.16\", expect_size=\"52043776\"] \n  25 -> 26 [size =\"52043776\"]\n  26 [size=\"37181440\", alpha=\"0.01\", expect_size=\"18590720\"] \n  26 -> 27 [size =\"18590720\"]\n  27 [size=\"99534848\", alpha=\"0.18\", expect_size=\"49767424\"] \n  27 -> 28 [size =\"49767424\"]\n  28 [size=\"55341056\", alpha=\"0.12\", expect_size=\"27670528\"] \n  28 -> 29 [size =\"27670528\"]\n  29 [size=\"34826240\", alpha=\"0.14\", expect_size=\"17413120\"] \n  29 -> 30 [size =\"17413120\"]\n  30 [size=\"45623296\", alpha=\"0.06\", expect_size=\"22811648\"] \n  30 -> 31 [size =\"22811648\"]\n  31 [size=\"45748224\", alpha=\"0.18\", expect_size=\"22874112\"] \n  31 -> 32 [size =\"22874112\"]\n  32 [size=\"42315776\", alpha=\"0.05\", expect_size=\"21157888\"] \n  32 -> 33 [size =\"21157888\"]\n  33 [size=\"56956928\", alpha=\"0.18\", expect_size=\"28478464\"] \n  33 -> 34 [size =\"28478464\"]\n  34 [size=\"74344448\", alpha=\"0.13\", expect_size=\"37172224\"] \n  34 -> 35 [size =\"37172224\"]\n  35 [size=\"55760896\", alpha=\"0.05\", expect_size=\"27880448\"] \n  35 -> 36 [size =\"27880448\"]\n  36 [size=\"38256640\", alpha=\"0.01\", expect_size=\"19128320\"] \n  36 -> 37 [size =\"19128320\"]\n  37 [size=\"41031680\", alpha=\"0.12\", expect_size=\"20515840\"] \n  37 -> 38 [size =\"20515840\"]\n  38 [size=\"29376512\", alpha=\"0.01\", expect_size=\"14688256\"] \n  38 -> 39 [size =\"14688256\"]\n  39 [size=\"86693888\", alpha=\"0.13\", expect_size=\"43346944\"] \n  39 -> 40 [size =\"43346944\"]\n  40 [size=\"57475072\", alpha=\"0.13\", expect_size=\"28737536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53463040\", alpha=\"0.13\", expect_size=\"26731520\"] \n  1 -> 4 [size =\"26731520\"]\n  1 -> 5 [size =\"26731520\"]\n  1 -> 6 [size =\"26731520\"]\n  2 [size=\"89028608\", alpha=\"0.09\", expect_size=\"44514304\"] \n  2 -> 5 [size =\"44514304\"]\n  3 [size=\"75366400\", alpha=\"0.16\", expect_size=\"37683200\"] \n  3 -> 5 [size =\"37683200\"]\n  4 [size=\"37908480\", alpha=\"0.07\", expect_size=\"18954240\"] \n  4 -> 7 [size =\"18954240\"]\n  4 -> 8 [size =\"18954240\"]\n  5 [size=\"78342144\", alpha=\"0.10\", expect_size=\"39171072\"] \n  5 -> 8 [size =\"39171072\"]\n  6 [size=\"40787968\", alpha=\"0.07\", expect_size=\"20393984\"] \n  6 -> 8 [size =\"20393984\"]\n  6 -> 9 [size =\"20393984\"]\n  7 [size=\"26556416\", alpha=\"0.00\", expect_size=\"13278208\"] \n  7 -> 11 [size =\"13278208\"]\n  7 -> 12 [size =\"13278208\"]\n  8 [size=\"45975552\", alpha=\"0.17\", expect_size=\"22987776\"] \n  8 -> 10 [size =\"22987776\"]\n  8 -> 11 [size =\"22987776\"]\n  8 -> 12 [size =\"22987776\"]\n  9 [size=\"64954368\", alpha=\"0.13\", expect_size=\"32477184\"] \n  9 -> 10 [size =\"32477184\"]\n  9 -> 11 [size =\"32477184\"]\n  9 -> 12 [size =\"32477184\"]\n  10 [size=\"14950400\", alpha=\"0.15\", expect_size=\"7475200\"] \n  10 -> 13 [size =\"7475200\"]\n  10 -> 14 [size =\"7475200\"]\n  11 [size=\"66277376\", alpha=\"0.12\", expect_size=\"33138688\"] \n  11 -> 13 [size =\"33138688\"]\n  11 -> 14 [size =\"33138688\"]\n  12 [size=\"34021376\", alpha=\"0.05\", expect_size=\"17010688\"] \n  12 -> 13 [size =\"17010688\"]\n  12 -> 14 [size =\"17010688\"]\n  13 [size=\"75020288\", alpha=\"0.13\", expect_size=\"37510144\"] \n  13 -> 15 [size =\"37510144\"]\n  13 -> 16 [size =\"37510144\"]\n  14 [size=\"55932928\", alpha=\"0.04\", expect_size=\"27966464\"] \n  14 -> 15 [size =\"27966464\"]\n  14 -> 16 [size =\"27966464\"]\n  14 -> 17 [size =\"27966464\"]\n  15 [size=\"89198592\", alpha=\"0.00\", expect_size=\"44599296\"] \n  15 -> 18 [size =\"44599296\"]\n  16 [size=\"44122112\", alpha=\"0.11\", expect_size=\"22061056\"] \n  16 -> 19 [size =\"22061056\"]\n  17 [size=\"77299712\", alpha=\"0.11\", expect_size=\"38649856\"] \n  18 [size=\"79577088\", alpha=\"0.13\", expect_size=\"39788544\"] \n  18 -> 20 [size =\"39788544\"]\n  18 -> 21 [size =\"39788544\"]\n  19 [size=\"65056768\", alpha=\"0.01\", expect_size=\"32528384\"] \n  19 -> 20 [size =\"32528384\"]\n  20 [size=\"33632256\", alpha=\"0.18\", expect_size=\"16816128\"] \n  20 -> 22 [size =\"16816128\"]\n  20 -> 24 [size =\"16816128\"]\n  21 [size=\"11085824\", alpha=\"0.04\", expect_size=\"5542912\"] \n  21 -> 22 [size =\"5542912\"]\n  21 -> 23 [size =\"5542912\"]\n  22 [size=\"69654528\", alpha=\"0.07\", expect_size=\"34827264\"] \n  22 -> 25 [size =\"34827264\"]\n  22 -> 26 [size =\"34827264\"]\n  23 [size=\"92887040\", alpha=\"0.03\", expect_size=\"46443520\"] \n  23 -> 25 [size =\"46443520\"]\n  23 -> 26 [size =\"46443520\"]\n  24 [size=\"61095936\", alpha=\"0.06\", expect_size=\"30547968\"] \n  24 -> 25 [size =\"30547968\"]\n  24 -> 26 [size =\"30547968\"]\n  25 [size=\"82298880\", alpha=\"0.02\", expect_size=\"41149440\"] \n  25 -> 27 [size =\"41149440\"]\n  25 -> 28 [size =\"41149440\"]\n  26 [size=\"83210240\", alpha=\"0.05\", expect_size=\"41605120\"] \n  26 -> 27 [size =\"41605120\"]\n  26 -> 28 [size =\"41605120\"]\n  27 [size=\"42186752\", alpha=\"0.12\", expect_size=\"21093376\"] \n  27 -> 29 [size =\"21093376\"]\n  27 -> 31 [size =\"21093376\"]\n  28 [size=\"93638656\", alpha=\"0.06\", expect_size=\"46819328\"] \n  28 -> 29 [size =\"46819328\"]\n  28 -> 30 [size =\"46819328\"]\n  28 -> 31 [size =\"46819328\"]\n  29 [size=\"58624000\", alpha=\"0.12\", expect_size=\"29312000\"] \n  29 -> 32 [size =\"29312000\"]\n  30 [size=\"63410176\", alpha=\"0.18\", expect_size=\"31705088\"] \n  30 -> 32 [size =\"31705088\"]\n  30 -> 33 [size =\"31705088\"]\n  31 [size=\"54022144\", alpha=\"0.17\", expect_size=\"27011072\"] \n  31 -> 32 [size =\"27011072\"]\n  32 [size=\"73433088\", alpha=\"0.20\", expect_size=\"36716544\"] \n  32 -> 34 [size =\"36716544\"]\n  32 -> 35 [size =\"36716544\"]\n  33 [size=\"11448320\", alpha=\"0.17\", expect_size=\"5724160\"] \n  33 -> 34 [size =\"5724160\"]\n  33 -> 35 [size =\"5724160\"]\n  34 [size=\"27320320\", alpha=\"0.04\", expect_size=\"13660160\"] \n  34 -> 36 [size =\"13660160\"]\n  34 -> 37 [size =\"13660160\"]\n  35 [size=\"54102016\", alpha=\"0.07\", expect_size=\"27051008\"] \n  35 -> 37 [size =\"27051008\"]\n  36 [size=\"65277952\", alpha=\"0.17\", expect_size=\"32638976\"] \n  36 -> 38 [size =\"32638976\"]\n  36 -> 39 [size =\"32638976\"]\n  36 -> 40 [size =\"32638976\"]\n  37 [size=\"91150336\", alpha=\"0.02\", expect_size=\"45575168\"] \n  37 -> 39 [size =\"45575168\"]\n  37 -> 40 [size =\"45575168\"]\n  38 [size=\"53420032\", alpha=\"0.01\", expect_size=\"26710016\"] \n  39 [size=\"81950720\", alpha=\"0.12\", expect_size=\"40975360\"] \n  40 [size=\"42467328\", alpha=\"0.08\", expect_size=\"21233664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63226880\", alpha=\"0.17\", expect_size=\"25290752\"] \n  1 -> 11 [size =\"25290752\"]\n  1 -> 13 [size =\"25290752\"]\n  2 [size=\"29068800\", alpha=\"0.00\", expect_size=\"11627520\"] \n  2 -> 12 [size =\"11627520\"]\n  2 -> 13 [size =\"11627520\"]\n  3 [size=\"79930880\", alpha=\"0.06\", expect_size=\"31972352\"] \n  3 -> 9 [size =\"31972352\"]\n  3 -> 11 [size =\"31972352\"]\n  4 [size=\"116400640\", alpha=\"0.13\", expect_size=\"46560256\"] \n  4 -> 8 [size =\"46560256\"]\n  4 -> 9 [size =\"46560256\"]\n  5 [size=\"43294720\", alpha=\"0.12\", expect_size=\"17317888\"] \n  5 -> 12 [size =\"17317888\"]\n  6 [size=\"29923840\", alpha=\"0.15\", expect_size=\"11969536\"] \n  6 -> 9 [size =\"11969536\"]\n  6 -> 10 [size =\"11969536\"]\n  6 -> 12 [size =\"11969536\"]\n  7 [size=\"126563840\", alpha=\"0.08\", expect_size=\"50625536\"] \n  7 -> 8 [size =\"50625536\"]\n  7 -> 9 [size =\"50625536\"]\n  7 -> 13 [size =\"50625536\"]\n  8 [size=\"59143680\", alpha=\"0.04\", expect_size=\"23657472\"] \n  8 -> 15 [size =\"23657472\"]\n  8 -> 16 [size =\"23657472\"]\n  8 -> 17 [size =\"23657472\"]\n  8 -> 18 [size =\"23657472\"]\n  9 [size=\"129095680\", alpha=\"0.14\", expect_size=\"51638272\"] \n  9 -> 14 [size =\"51638272\"]\n  9 -> 16 [size =\"51638272\"]\n  9 -> 19 [size =\"51638272\"]\n  9 -> 20 [size =\"51638272\"]\n  10 [size=\"45089280\", alpha=\"0.02\", expect_size=\"18035712\"] \n  10 -> 15 [size =\"18035712\"]\n  10 -> 16 [size =\"18035712\"]\n  10 -> 19 [size =\"18035712\"]\n  10 -> 20 [size =\"18035712\"]\n  11 [size=\"126302720\", alpha=\"0.09\", expect_size=\"50521088\"] \n  11 -> 14 [size =\"50521088\"]\n  11 -> 15 [size =\"50521088\"]\n  11 -> 16 [size =\"50521088\"]\n  11 -> 19 [size =\"50521088\"]\n  12 [size=\"108643840\", alpha=\"0.14\", expect_size=\"43457536\"] \n  12 -> 14 [size =\"43457536\"]\n  12 -> 20 [size =\"43457536\"]\n  13 [size=\"111421440\", alpha=\"0.13\", expect_size=\"44568576\"] \n  13 -> 14 [size =\"44568576\"]\n  13 -> 19 [size =\"44568576\"]\n  14 [size=\"29885440\", alpha=\"0.14\", expect_size=\"11954176\"] \n  14 -> 21 [size =\"11954176\"]\n  14 -> 23 [size =\"11954176\"]\n  14 -> 24 [size =\"11954176\"]\n  15 [size=\"105848320\", alpha=\"0.14\", expect_size=\"42339328\"] \n  15 -> 22 [size =\"42339328\"]\n  15 -> 24 [size =\"42339328\"]\n  15 -> 24 [size =\"42339328\"]\n  15 -> 25 [size =\"42339328\"]\n  16 [size=\"56115200\", alpha=\"0.19\", expect_size=\"22446080\"] \n  16 -> 22 [size =\"22446080\"]\n  16 -> 23 [size =\"22446080\"]\n  16 -> 24 [size =\"22446080\"]\n  17 [size=\"24389120\", alpha=\"0.13\", expect_size=\"9755648\"] \n  17 -> 22 [size =\"9755648\"]\n  17 -> 23 [size =\"9755648\"]\n  18 [size=\"69427200\", alpha=\"0.08\", expect_size=\"27770880\"] \n  18 -> 22 [size =\"27770880\"]\n  19 [size=\"92472320\", alpha=\"0.01\", expect_size=\"36988928\"] \n  20 [size=\"54538240\", alpha=\"0.16\", expect_size=\"21815296\"] \n  20 -> 22 [size =\"21815296\"]\n  21 [size=\"66150400\", alpha=\"0.20\", expect_size=\"26460160\"] \n  21 -> 29 [size =\"26460160\"]\n  21 -> 30 [size =\"26460160\"]\n  22 [size=\"120345600\", alpha=\"0.06\", expect_size=\"48138240\"] \n  22 -> 28 [size =\"48138240\"]\n  23 [size=\"87403520\", alpha=\"0.04\", expect_size=\"34961408\"] \n  23 -> 27 [size =\"34961408\"]\n  24 [size=\"48486400\", alpha=\"0.19\", expect_size=\"19394560\"] \n  24 -> 26 [size =\"19394560\"]\n  24 -> 28 [size =\"19394560\"]\n  24 -> 29 [size =\"19394560\"]\n  24 -> 30 [size =\"19394560\"]\n  25 [size=\"130851840\", alpha=\"0.19\", expect_size=\"52340736\"] \n  25 -> 29 [size =\"52340736\"]\n  25 -> 30 [size =\"52340736\"]\n  26 [size=\"97996800\", alpha=\"0.02\", expect_size=\"39198720\"] \n  26 -> 32 [size =\"39198720\"]\n  26 -> 33 [size =\"39198720\"]\n  26 -> 34 [size =\"39198720\"]\n  27 [size=\"92684800\", alpha=\"0.05\", expect_size=\"37073920\"] \n  27 -> 33 [size =\"37073920\"]\n  28 [size=\"53831680\", alpha=\"0.15\", expect_size=\"21532672\"] \n  28 -> 31 [size =\"21532672\"]\n  29 [size=\"100078080\", alpha=\"0.05\", expect_size=\"40031232\"] \n  29 -> 32 [size =\"40031232\"]\n  29 -> 33 [size =\"40031232\"]\n  30 [size=\"105018880\", alpha=\"0.00\", expect_size=\"42007552\"] \n  30 -> 33 [size =\"42007552\"]\n  31 [size=\"81295360\", alpha=\"0.15\", expect_size=\"32518144\"] \n  31 -> 36 [size =\"32518144\"]\n  31 -> 37 [size =\"32518144\"]\n  32 [size=\"79034880\", alpha=\"0.05\", expect_size=\"31613952\"] \n  33 [size=\"114196480\", alpha=\"0.13\", expect_size=\"45678592\"] \n  33 -> 36 [size =\"45678592\"]\n  33 -> 38 [size =\"45678592\"]\n  33 -> 39 [size =\"45678592\"]\n  34 [size=\"17679360\", alpha=\"0.03\", expect_size=\"7071744\"] \n  34 -> 35 [size =\"7071744\"]\n  34 -> 36 [size =\"7071744\"]\n  34 -> 37 [size =\"7071744\"]\n  34 -> 39 [size =\"7071744\"]\n  35 [size=\"128701440\", alpha=\"0.09\", expect_size=\"51480576\"] \n  36 [size=\"123563520\", alpha=\"0.02\", expect_size=\"49425408\"] \n  36 -> 40 [size =\"49425408\"]\n  37 [size=\"19077120\", alpha=\"0.17\", expect_size=\"7630848\"] \n  37 -> 40 [size =\"7630848\"]\n  38 [size=\"46671360\", alpha=\"0.02\", expect_size=\"18668544\"] \n  38 -> 40 [size =\"18668544\"]\n  39 [size=\"16450560\", alpha=\"0.20\", expect_size=\"6580224\"] \n  39 -> 40 [size =\"6580224\"]\n  40 [size=\"44410880\", alpha=\"0.05\", expect_size=\"17764352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13942784\", alpha=\"0.07\", expect_size=\"6971392\"] \n  1 -> 6 [size =\"6971392\"]\n  1 -> 7 [size =\"6971392\"]\n  1 -> 9 [size =\"6971392\"]\n  1 -> 11 [size =\"6971392\"]\n  2 [size=\"101074944\", alpha=\"0.03\", expect_size=\"50537472\"] \n  2 -> 7 [size =\"50537472\"]\n  2 -> 8 [size =\"50537472\"]\n  2 -> 9 [size =\"50537472\"]\n  3 [size=\"62437376\", alpha=\"0.03\", expect_size=\"31218688\"] \n  3 -> 8 [size =\"31218688\"]\n  3 -> 10 [size =\"31218688\"]\n  4 [size=\"48701440\", alpha=\"0.09\", expect_size=\"24350720\"] \n  4 -> 7 [size =\"24350720\"]\n  4 -> 10 [size =\"24350720\"]\n  5 [size=\"95551488\", alpha=\"0.10\", expect_size=\"47775744\"] \n  5 -> 6 [size =\"47775744\"]\n  5 -> 7 [size =\"47775744\"]\n  5 -> 11 [size =\"47775744\"]\n  6 [size=\"46868480\", alpha=\"0.04\", expect_size=\"23434240\"] \n  6 -> 13 [size =\"23434240\"]\n  6 -> 15 [size =\"23434240\"]\n  7 [size=\"46534656\", alpha=\"0.11\", expect_size=\"23267328\"] \n  7 -> 15 [size =\"23267328\"]\n  8 [size=\"59420672\", alpha=\"0.12\", expect_size=\"29710336\"] \n  8 -> 13 [size =\"29710336\"]\n  8 -> 14 [size =\"29710336\"]\n  9 [size=\"51783680\", alpha=\"0.04\", expect_size=\"25891840\"] \n  9 -> 13 [size =\"25891840\"]\n  9 -> 14 [size =\"25891840\"]\n  9 -> 15 [size =\"25891840\"]\n  9 -> 16 [size =\"25891840\"]\n  10 [size=\"66494464\", alpha=\"0.17\", expect_size=\"33247232\"] \n  10 -> 14 [size =\"33247232\"]\n  11 [size=\"45590528\", alpha=\"0.18\", expect_size=\"22795264\"] \n  11 -> 12 [size =\"22795264\"]\n  11 -> 13 [size =\"22795264\"]\n  11 -> 14 [size =\"22795264\"]\n  12 [size=\"80445440\", alpha=\"0.09\", expect_size=\"40222720\"] \n  12 -> 18 [size =\"40222720\"]\n  12 -> 20 [size =\"40222720\"]\n  12 -> 21 [size =\"40222720\"]\n  12 -> 22 [size =\"40222720\"]\n  13 [size=\"92463104\", alpha=\"0.17\", expect_size=\"46231552\"] \n  13 -> 22 [size =\"46231552\"]\n  14 [size=\"14370816\", alpha=\"0.15\", expect_size=\"7185408\"] \n  14 -> 19 [size =\"7185408\"]\n  14 -> 21 [size =\"7185408\"]\n  15 [size=\"58578944\", alpha=\"0.08\", expect_size=\"29289472\"] \n  15 -> 20 [size =\"29289472\"]\n  15 -> 22 [size =\"29289472\"]\n  16 [size=\"104374272\", alpha=\"0.02\", expect_size=\"52187136\"] \n  16 -> 17 [size =\"52187136\"]\n  16 -> 20 [size =\"52187136\"]\n  16 -> 22 [size =\"52187136\"]\n  17 [size=\"28073984\", alpha=\"0.04\", expect_size=\"14036992\"] \n  17 -> 23 [size =\"14036992\"]\n  17 -> 25 [size =\"14036992\"]\n  17 -> 26 [size =\"14036992\"]\n  17 -> 27 [size =\"14036992\"]\n  18 [size=\"81805312\", alpha=\"0.03\", expect_size=\"40902656\"] \n  18 -> 23 [size =\"40902656\"]\n  18 -> 24 [size =\"40902656\"]\n  18 -> 26 [size =\"40902656\"]\n  18 -> 27 [size =\"40902656\"]\n  19 [size=\"44109824\", alpha=\"0.03\", expect_size=\"22054912\"] \n  19 -> 23 [size =\"22054912\"]\n  19 -> 25 [size =\"22054912\"]\n  19 -> 26 [size =\"22054912\"]\n  20 [size=\"65333248\", alpha=\"0.14\", expect_size=\"32666624\"] \n  20 -> 23 [size =\"32666624\"]\n  20 -> 24 [size =\"32666624\"]\n  20 -> 25 [size =\"32666624\"]\n  21 [size=\"52903936\", alpha=\"0.05\", expect_size=\"26451968\"] \n  21 -> 25 [size =\"26451968\"]\n  21 -> 26 [size =\"26451968\"]\n  21 -> 27 [size =\"26451968\"]\n  22 [size=\"43491328\", alpha=\"0.16\", expect_size=\"21745664\"] \n  22 -> 25 [size =\"21745664\"]\n  22 -> 27 [size =\"21745664\"]\n  23 [size=\"87484416\", alpha=\"0.18\", expect_size=\"43742208\"] \n  23 -> 31 [size =\"43742208\"]\n  23 -> 32 [size =\"43742208\"]\n  23 -> 33 [size =\"43742208\"]\n  24 [size=\"72120320\", alpha=\"0.08\", expect_size=\"36060160\"] \n  24 -> 31 [size =\"36060160\"]\n  24 -> 32 [size =\"36060160\"]\n  25 [size=\"48975872\", alpha=\"0.16\", expect_size=\"24487936\"] \n  25 -> 28 [size =\"24487936\"]\n  25 -> 29 [size =\"24487936\"]\n  25 -> 30 [size =\"24487936\"]\n  25 -> 32 [size =\"24487936\"]\n  26 [size=\"85780480\", alpha=\"0.12\", expect_size=\"42890240\"] \n  26 -> 29 [size =\"42890240\"]\n  26 -> 32 [size =\"42890240\"]\n  27 [size=\"93982720\", alpha=\"0.15\", expect_size=\"46991360\"] \n  27 -> 29 [size =\"46991360\"]\n  27 -> 32 [size =\"46991360\"]\n  28 [size=\"18339840\", alpha=\"0.08\", expect_size=\"9169920\"] \n  28 -> 34 [size =\"9169920\"]\n  28 -> 36 [size =\"9169920\"]\n  28 -> 37 [size =\"9169920\"]\n  28 -> 38 [size =\"9169920\"]\n  29 [size=\"33204224\", alpha=\"0.11\", expect_size=\"16602112\"] \n  29 -> 34 [size =\"16602112\"]\n  29 -> 36 [size =\"16602112\"]\n  29 -> 37 [size =\"16602112\"]\n  29 -> 38 [size =\"16602112\"]\n  30 [size=\"47458304\", alpha=\"0.05\", expect_size=\"23729152\"] \n  30 -> 34 [size =\"23729152\"]\n  30 -> 36 [size =\"23729152\"]\n  30 -> 37 [size =\"23729152\"]\n  30 -> 38 [size =\"23729152\"]\n  30 -> 39 [size =\"23729152\"]\n  31 [size=\"18591744\", alpha=\"0.07\", expect_size=\"9295872\"] \n  31 -> 34 [size =\"9295872\"]\n  31 -> 36 [size =\"9295872\"]\n  31 -> 37 [size =\"9295872\"]\n  31 -> 38 [size =\"9295872\"]\n  32 [size=\"44439552\", alpha=\"0.03\", expect_size=\"22219776\"] \n  32 -> 34 [size =\"22219776\"]\n  32 -> 35 [size =\"22219776\"]\n  32 -> 36 [size =\"22219776\"]\n  32 -> 38 [size =\"22219776\"]\n  33 [size=\"26841088\", alpha=\"0.17\", expect_size=\"13420544\"] \n  33 -> 34 [size =\"13420544\"]\n  33 -> 35 [size =\"13420544\"]\n  33 -> 38 [size =\"13420544\"]\n  34 [size=\"17754112\", alpha=\"0.12\", expect_size=\"8877056\"] \n  34 -> 40 [size =\"8877056\"]\n  35 [size=\"55394304\", alpha=\"0.17\", expect_size=\"27697152\"] \n  36 [size=\"36083712\", alpha=\"0.02\", expect_size=\"18041856\"] \n  36 -> 40 [size =\"18041856\"]\n  37 [size=\"90576896\", alpha=\"0.10\", expect_size=\"45288448\"] \n  38 [size=\"66183168\", alpha=\"0.14\", expect_size=\"33091584\"] \n  39 [size=\"11835392\", alpha=\"0.05\", expect_size=\"5917696\"] \n  39 -> 40 [size =\"5917696\"]\n  40 [size=\"63205376\", alpha=\"0.07\", expect_size=\"31602688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40282112\", alpha=\"0.04\", expect_size=\"20141056\"] \n  1 -> 2 [size =\"20141056\"]\n  2 [size=\"74676224\", alpha=\"0.15\", expect_size=\"37338112\"] \n  2 -> 3 [size =\"37338112\"]\n  3 [size=\"54407168\", alpha=\"0.04\", expect_size=\"27203584\"] \n  3 -> 4 [size =\"27203584\"]\n  4 [size=\"82509824\", alpha=\"0.04\", expect_size=\"41254912\"] \n  4 -> 5 [size =\"41254912\"]\n  5 [size=\"104792064\", alpha=\"0.17\", expect_size=\"52396032\"] \n  5 -> 6 [size =\"52396032\"]\n  6 [size=\"24266752\", alpha=\"0.12\", expect_size=\"12133376\"] \n  6 -> 7 [size =\"12133376\"]\n  7 [size=\"23422976\", alpha=\"0.05\", expect_size=\"11711488\"] \n  7 -> 8 [size =\"11711488\"]\n  8 [size=\"87308288\", alpha=\"0.13\", expect_size=\"43654144\"] \n  8 -> 9 [size =\"43654144\"]\n  9 [size=\"22525952\", alpha=\"0.01\", expect_size=\"11262976\"] \n  9 -> 10 [size =\"11262976\"]\n  10 [size=\"98109440\", alpha=\"0.06\", expect_size=\"49054720\"] \n  10 -> 11 [size =\"49054720\"]\n  11 [size=\"92825600\", alpha=\"0.09\", expect_size=\"46412800\"] \n  11 -> 12 [size =\"46412800\"]\n  12 [size=\"19439616\", alpha=\"0.16\", expect_size=\"9719808\"] \n  12 -> 13 [size =\"9719808\"]\n  13 [size=\"90198016\", alpha=\"0.04\", expect_size=\"45099008\"] \n  13 -> 14 [size =\"45099008\"]\n  14 [size=\"12427264\", alpha=\"0.08\", expect_size=\"6213632\"] \n  14 -> 15 [size =\"6213632\"]\n  15 [size=\"32567296\", alpha=\"0.20\", expect_size=\"16283648\"] \n  15 -> 16 [size =\"16283648\"]\n  16 [size=\"16631808\", alpha=\"0.04\", expect_size=\"8315904\"] \n  16 -> 17 [size =\"8315904\"]\n  17 [size=\"75237376\", alpha=\"0.04\", expect_size=\"37618688\"] \n  17 -> 18 [size =\"37618688\"]\n  18 [size=\"99176448\", alpha=\"0.03\", expect_size=\"49588224\"] \n  18 -> 19 [size =\"49588224\"]\n  19 [size=\"64206848\", alpha=\"0.07\", expect_size=\"32103424\"] \n  19 -> 20 [size =\"32103424\"]\n  20 [size=\"66725888\", alpha=\"0.04\", expect_size=\"33362944\"] \n  20 -> 21 [size =\"33362944\"]\n  21 [size=\"94064640\", alpha=\"0.07\", expect_size=\"47032320\"] \n  21 -> 22 [size =\"47032320\"]\n  22 [size=\"41005056\", alpha=\"0.03\", expect_size=\"20502528\"] \n  22 -> 23 [size =\"20502528\"]\n  23 [size=\"23353344\", alpha=\"0.09\", expect_size=\"11676672\"] \n  23 -> 24 [size =\"11676672\"]\n  24 [size=\"44079104\", alpha=\"0.10\", expect_size=\"22039552\"] \n  24 -> 25 [size =\"22039552\"]\n  25 [size=\"83089408\", alpha=\"0.12\", expect_size=\"41544704\"] \n  25 -> 26 [size =\"41544704\"]\n  26 [size=\"82354176\", alpha=\"0.16\", expect_size=\"41177088\"] \n  26 -> 27 [size =\"41177088\"]\n  27 [size=\"102572032\", alpha=\"0.02\", expect_size=\"51286016\"] \n  27 -> 28 [size =\"51286016\"]\n  28 [size=\"25419776\", alpha=\"0.06\", expect_size=\"12709888\"] \n  28 -> 29 [size =\"12709888\"]\n  29 [size=\"38934528\", alpha=\"0.11\", expect_size=\"19467264\"] \n  29 -> 30 [size =\"19467264\"]\n  30 [size=\"72798208\", alpha=\"0.15\", expect_size=\"36399104\"] \n  30 -> 31 [size =\"36399104\"]\n  31 [size=\"90931200\", alpha=\"0.17\", expect_size=\"45465600\"] \n  31 -> 32 [size =\"45465600\"]\n  32 [size=\"28764160\", alpha=\"0.01\", expect_size=\"14382080\"] \n  32 -> 33 [size =\"14382080\"]\n  33 [size=\"44853248\", alpha=\"0.01\", expect_size=\"22426624\"] \n  33 -> 34 [size =\"22426624\"]\n  34 [size=\"88754176\", alpha=\"0.02\", expect_size=\"44377088\"] \n  34 -> 35 [size =\"44377088\"]\n  35 [size=\"43747328\", alpha=\"0.07\", expect_size=\"21873664\"] \n  35 -> 36 [size =\"21873664\"]\n  36 [size=\"98510848\", alpha=\"0.14\", expect_size=\"49255424\"] \n  36 -> 37 [size =\"49255424\"]\n  37 [size=\"78084096\", alpha=\"0.15\", expect_size=\"39042048\"] \n  37 -> 38 [size =\"39042048\"]\n  38 [size=\"89776128\", alpha=\"0.14\", expect_size=\"44888064\"] \n  38 -> 39 [size =\"44888064\"]\n  39 [size=\"21665792\", alpha=\"0.05\", expect_size=\"10832896\"] \n  39 -> 40 [size =\"10832896\"]\n  40 [size=\"74541056\", alpha=\"0.08\", expect_size=\"37270528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54556672\", alpha=\"0.08\", expect_size=\"27278336\"] \n  1 -> 8 [size =\"27278336\"]\n  1 -> 11 [size =\"27278336\"]\n  2 [size=\"97054720\", alpha=\"0.14\", expect_size=\"48527360\"] \n  2 -> 8 [size =\"48527360\"]\n  2 -> 9 [size =\"48527360\"]\n  2 -> 11 [size =\"48527360\"]\n  3 [size=\"43194368\", alpha=\"0.04\", expect_size=\"21597184\"] \n  3 -> 9 [size =\"21597184\"]\n  3 -> 10 [size =\"21597184\"]\n  4 [size=\"96696320\", alpha=\"0.14\", expect_size=\"48348160\"] \n  4 -> 10 [size =\"48348160\"]\n  5 [size=\"70246400\", alpha=\"0.17\", expect_size=\"35123200\"] \n  5 -> 7 [size =\"35123200\"]\n  5 -> 12 [size =\"35123200\"]\n  6 [size=\"40433664\", alpha=\"0.03\", expect_size=\"20216832\"] \n  7 [size=\"23080960\", alpha=\"0.08\", expect_size=\"11540480\"] \n  7 -> 15 [size =\"11540480\"]\n  7 -> 17 [size =\"11540480\"]\n  7 -> 18 [size =\"11540480\"]\n  8 [size=\"54724608\", alpha=\"0.09\", expect_size=\"27362304\"] \n  8 -> 13 [size =\"27362304\"]\n  8 -> 16 [size =\"27362304\"]\n  8 -> 18 [size =\"27362304\"]\n  9 [size=\"51884032\", alpha=\"0.04\", expect_size=\"25942016\"] \n  9 -> 17 [size =\"25942016\"]\n  9 -> 18 [size =\"25942016\"]\n  10 [size=\"90648576\", alpha=\"0.03\", expect_size=\"45324288\"] \n  10 -> 13 [size =\"45324288\"]\n  10 -> 16 [size =\"45324288\"]\n  11 [size=\"99565568\", alpha=\"0.08\", expect_size=\"49782784\"] \n  11 -> 14 [size =\"49782784\"]\n  12 [size=\"40937472\", alpha=\"0.00\", expect_size=\"20468736\"] \n  12 -> 13 [size =\"20468736\"]\n  12 -> 16 [size =\"20468736\"]\n  12 -> 17 [size =\"20468736\"]\n  13 [size=\"10797056\", alpha=\"0.01\", expect_size=\"5398528\"] \n  13 -> 19 [size =\"5398528\"]\n  13 -> 20 [size =\"5398528\"]\n  13 -> 23 [size =\"5398528\"]\n  14 [size=\"31612928\", alpha=\"0.00\", expect_size=\"15806464\"] \n  14 -> 20 [size =\"15806464\"]\n  14 -> 23 [size =\"15806464\"]\n  15 [size=\"97994752\", alpha=\"0.14\", expect_size=\"48997376\"] \n  16 [size=\"85485568\", alpha=\"0.02\", expect_size=\"42742784\"] \n  16 -> 22 [size =\"42742784\"]\n  17 [size=\"98058240\", alpha=\"0.07\", expect_size=\"49029120\"] \n  17 -> 19 [size =\"49029120\"]\n  17 -> 21 [size =\"49029120\"]\n  17 -> 22 [size =\"49029120\"]\n  18 [size=\"42813440\", alpha=\"0.13\", expect_size=\"21406720\"] \n  18 -> 19 [size =\"21406720\"]\n  19 [size=\"85078016\", alpha=\"0.11\", expect_size=\"42539008\"] \n  20 [size=\"103686144\", alpha=\"0.06\", expect_size=\"51843072\"] \n  20 -> 25 [size =\"51843072\"]\n  20 -> 26 [size =\"51843072\"]\n  20 -> 28 [size =\"51843072\"]\n  21 [size=\"22075392\", alpha=\"0.11\", expect_size=\"11037696\"] \n  21 -> 24 [size =\"11037696\"]\n  21 -> 25 [size =\"11037696\"]\n  21 -> 27 [size =\"11037696\"]\n  22 [size=\"59832320\", alpha=\"0.14\", expect_size=\"29916160\"] \n  22 -> 24 [size =\"29916160\"]\n  22 -> 27 [size =\"29916160\"]\n  22 -> 28 [size =\"29916160\"]\n  22 -> 29 [size =\"29916160\"]\n  23 [size=\"61274112\", alpha=\"0.04\", expect_size=\"30637056\"] \n  23 -> 24 [size =\"30637056\"]\n  24 [size=\"65200128\", alpha=\"0.13\", expect_size=\"32600064\"] \n  24 -> 31 [size =\"32600064\"]\n  24 -> 32 [size =\"32600064\"]\n  24 -> 35 [size =\"32600064\"]\n  25 [size=\"66627584\", alpha=\"0.14\", expect_size=\"33313792\"] \n  26 [size=\"40210432\", alpha=\"0.01\", expect_size=\"20105216\"] \n  26 -> 30 [size =\"20105216\"]\n  27 [size=\"50343936\", alpha=\"0.11\", expect_size=\"25171968\"] \n  27 -> 32 [size =\"25171968\"]\n  27 -> 33 [size =\"25171968\"]\n  27 -> 34 [size =\"25171968\"]\n  27 -> 35 [size =\"25171968\"]\n  28 [size=\"83339264\", alpha=\"0.11\", expect_size=\"41669632\"] \n  28 -> 35 [size =\"41669632\"]\n  29 [size=\"50253824\", alpha=\"0.19\", expect_size=\"25126912\"] \n  29 -> 32 [size =\"25126912\"]\n  30 [size=\"99926016\", alpha=\"0.04\", expect_size=\"49963008\"] \n  30 -> 39 [size =\"49963008\"]\n  31 [size=\"34074624\", alpha=\"0.08\", expect_size=\"17037312\"] \n  31 -> 36 [size =\"17037312\"]\n  31 -> 38 [size =\"17037312\"]\n  32 [size=\"85512192\", alpha=\"0.19\", expect_size=\"42756096\"] \n  32 -> 38 [size =\"42756096\"]\n  33 [size=\"57694208\", alpha=\"0.09\", expect_size=\"28847104\"] \n  34 [size=\"77703168\", alpha=\"0.05\", expect_size=\"38851584\"] \n  34 -> 36 [size =\"38851584\"]\n  34 -> 40 [size =\"38851584\"]\n  35 [size=\"43008000\", alpha=\"0.18\", expect_size=\"21504000\"] \n  35 -> 36 [size =\"21504000\"]\n  35 -> 37 [size =\"21504000\"]\n  36 [size=\"13367296\", alpha=\"0.08\", expect_size=\"6683648\"] \n  37 [size=\"18731008\", alpha=\"0.16\", expect_size=\"9365504\"] \n  38 [size=\"71698432\", alpha=\"0.11\", expect_size=\"35849216\"] \n  39 [size=\"27762688\", alpha=\"0.02\", expect_size=\"13881344\"] \n  40 [size=\"22695936\", alpha=\"0.12\", expect_size=\"11347968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94296747\", alpha=\"0.09\", expect_size=\"28289024\"] \n  2 [size=\"148555093\", alpha=\"0.04\", expect_size=\"44566528\"] \n  2 -> 3 [size =\"44566528\"]\n  2 -> 4 [size =\"44566528\"]\n  3 [size=\"34795520\", alpha=\"0.11\", expect_size=\"10438656\"] \n  3 -> 5 [size =\"10438656\"]\n  3 -> 6 [size =\"10438656\"]\n  4 [size=\"117906773\", alpha=\"0.12\", expect_size=\"35372032\"] \n  4 -> 5 [size =\"35372032\"]\n  4 -> 6 [size =\"35372032\"]\n  5 [size=\"80332800\", alpha=\"0.16\", expect_size=\"24099840\"] \n  5 -> 7 [size =\"24099840\"]\n  6 [size=\"142885547\", alpha=\"0.17\", expect_size=\"42865664\"] \n  6 -> 7 [size =\"42865664\"]\n  6 -> 8 [size =\"42865664\"]\n  7 [size=\"105181867\", alpha=\"0.03\", expect_size=\"31554560\"] \n  7 -> 9 [size =\"31554560\"]\n  7 -> 10 [size =\"31554560\"]\n  7 -> 11 [size =\"31554560\"]\n  8 [size=\"34232320\", alpha=\"0.14\", expect_size=\"10269696\"] \n  8 -> 9 [size =\"10269696\"]\n  8 -> 10 [size =\"10269696\"]\n  8 -> 11 [size =\"10269696\"]\n  9 [size=\"101311147\", alpha=\"0.13\", expect_size=\"30393344\"] \n  9 -> 12 [size =\"30393344\"]\n  9 -> 13 [size =\"30393344\"]\n  9 -> 14 [size =\"30393344\"]\n  10 [size=\"170253653\", alpha=\"0.16\", expect_size=\"51076096\"] \n  10 -> 12 [size =\"51076096\"]\n  10 -> 13 [size =\"51076096\"]\n  10 -> 14 [size =\"51076096\"]\n  11 [size=\"132901547\", alpha=\"0.07\", expect_size=\"39870464\"] \n  11 -> 12 [size =\"39870464\"]\n  11 -> 13 [size =\"39870464\"]\n  11 -> 14 [size =\"39870464\"]\n  12 [size=\"44793173\", alpha=\"0.06\", expect_size=\"13437952\"] \n  12 -> 15 [size =\"13437952\"]\n  12 -> 16 [size =\"13437952\"]\n  13 [size=\"76625920\", alpha=\"0.08\", expect_size=\"22987776\"] \n  13 -> 15 [size =\"22987776\"]\n  14 [size=\"165864107\", alpha=\"0.03\", expect_size=\"49759232\"] \n  14 -> 15 [size =\"49759232\"]\n  15 [size=\"106745173\", alpha=\"0.06\", expect_size=\"32023552\"] \n  15 -> 17 [size =\"32023552\"]\n  15 -> 18 [size =\"32023552\"]\n  15 -> 19 [size =\"32023552\"]\n  16 [size=\"76045653\", alpha=\"0.16\", expect_size=\"22813696\"] \n  16 -> 17 [size =\"22813696\"]\n  16 -> 18 [size =\"22813696\"]\n  17 [size=\"52244480\", alpha=\"0.04\", expect_size=\"15673344\"] \n  17 -> 20 [size =\"15673344\"]\n  17 -> 21 [size =\"15673344\"]\n  18 [size=\"76898987\", alpha=\"0.18\", expect_size=\"23069696\"] \n  18 -> 20 [size =\"23069696\"]\n  19 [size=\"28900693\", alpha=\"0.12\", expect_size=\"8670208\"] \n  19 -> 20 [size =\"8670208\"]\n  20 [size=\"133683200\", alpha=\"0.15\", expect_size=\"40104960\"] \n  20 -> 22 [size =\"40104960\"]\n  20 -> 23 [size =\"40104960\"]\n  20 -> 24 [size =\"40104960\"]\n  21 [size=\"100969813\", alpha=\"0.08\", expect_size=\"30290944\"] \n  21 -> 22 [size =\"30290944\"]\n  21 -> 23 [size =\"30290944\"]\n  21 -> 24 [size =\"30290944\"]\n  22 [size=\"158429867\", alpha=\"0.18\", expect_size=\"47528960\"] \n  23 [size=\"51759787\", alpha=\"0.10\", expect_size=\"15527936\"] \n  23 -> 25 [size =\"15527936\"]\n  23 -> 26 [size =\"15527936\"]\n  24 [size=\"113305600\", alpha=\"0.14\", expect_size=\"33991680\"] \n  25 [size=\"140021760\", alpha=\"0.07\", expect_size=\"42006528\"] \n  25 -> 27 [size =\"42006528\"]\n  25 -> 28 [size =\"42006528\"]\n  25 -> 29 [size =\"42006528\"]\n  26 [size=\"32723627\", alpha=\"0.16\", expect_size=\"9817088\"] \n  26 -> 27 [size =\"9817088\"]\n  26 -> 28 [size =\"9817088\"]\n  27 [size=\"160843093\", alpha=\"0.16\", expect_size=\"48252928\"] \n  27 -> 30 [size =\"48252928\"]\n  27 -> 31 [size =\"48252928\"]\n  27 -> 32 [size =\"48252928\"]\n  28 [size=\"32508587\", alpha=\"0.18\", expect_size=\"9752576\"] \n  28 -> 30 [size =\"9752576\"]\n  28 -> 31 [size =\"9752576\"]\n  29 [size=\"20125013\", alpha=\"0.10\", expect_size=\"6037504\"] \n  29 -> 30 [size =\"6037504\"]\n  30 [size=\"112578560\", alpha=\"0.02\", expect_size=\"33773568\"] \n  30 -> 33 [size =\"33773568\"]\n  30 -> 34 [size =\"33773568\"]\n  31 [size=\"73622187\", alpha=\"0.09\", expect_size=\"22086656\"] \n  31 -> 33 [size =\"22086656\"]\n  32 [size=\"137366187\", alpha=\"0.19\", expect_size=\"41209856\"] \n  32 -> 33 [size =\"41209856\"]\n  33 [size=\"120316587\", alpha=\"0.17\", expect_size=\"36094976\"] \n  33 -> 35 [size =\"36094976\"]\n  33 -> 36 [size =\"36094976\"]\n  34 [size=\"39799467\", alpha=\"0.13\", expect_size=\"11939840\"] \n  34 -> 35 [size =\"11939840\"]\n  34 -> 36 [size =\"11939840\"]\n  35 [size=\"153531733\", alpha=\"0.01\", expect_size=\"46059520\"] \n  35 -> 37 [size =\"46059520\"]\n  35 -> 38 [size =\"46059520\"]\n  36 [size=\"52510720\", alpha=\"0.16\", expect_size=\"15753216\"] \n  36 -> 38 [size =\"15753216\"]\n  37 [size=\"19432107\", alpha=\"0.16\", expect_size=\"5829632\"] \n  37 -> 39 [size =\"5829632\"]\n  37 -> 40 [size =\"5829632\"]\n  38 [size=\"142008320\", alpha=\"0.04\", expect_size=\"42602496\"] \n  38 -> 40 [size =\"42602496\"]\n  39 [size=\"122426027\", alpha=\"0.12\", expect_size=\"36727808\"] \n  40 [size=\"44513280\", alpha=\"0.16\", expect_size=\"13353984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94156800\", alpha=\"0.09\", expect_size=\"37662720\"] \n  1 -> 2 [size =\"37662720\"]\n  2 [size=\"68920320\", alpha=\"0.19\", expect_size=\"27568128\"] \n  2 -> 3 [size =\"27568128\"]\n  3 [size=\"75947520\", alpha=\"0.19\", expect_size=\"30379008\"] \n  3 -> 4 [size =\"30379008\"]\n  4 [size=\"14272000\", alpha=\"0.19\", expect_size=\"5708800\"] \n  4 -> 5 [size =\"5708800\"]\n  5 [size=\"83368960\", alpha=\"0.07\", expect_size=\"33347584\"] \n  5 -> 6 [size =\"33347584\"]\n  6 [size=\"89676800\", alpha=\"0.08\", expect_size=\"35870720\"] \n  6 -> 7 [size =\"35870720\"]\n  7 [size=\"54172160\", alpha=\"0.09\", expect_size=\"21668864\"] \n  7 -> 8 [size =\"21668864\"]\n  8 [size=\"44134400\", alpha=\"0.05\", expect_size=\"17653760\"] \n  8 -> 9 [size =\"17653760\"]\n  9 [size=\"88409600\", alpha=\"0.04\", expect_size=\"35363840\"] \n  9 -> 10 [size =\"35363840\"]\n  10 [size=\"52684800\", alpha=\"0.15\", expect_size=\"21073920\"] \n  10 -> 11 [size =\"21073920\"]\n  11 [size=\"15475200\", alpha=\"0.05\", expect_size=\"6190080\"] \n  11 -> 12 [size =\"6190080\"]\n  12 [size=\"68311040\", alpha=\"0.07\", expect_size=\"27324416\"] \n  12 -> 13 [size =\"27324416\"]\n  13 [size=\"61370880\", alpha=\"0.01\", expect_size=\"24548352\"] \n  13 -> 14 [size =\"24548352\"]\n  14 [size=\"58096640\", alpha=\"0.00\", expect_size=\"23238656\"] \n  14 -> 15 [size =\"23238656\"]\n  15 [size=\"54200320\", alpha=\"0.13\", expect_size=\"21680128\"] \n  15 -> 16 [size =\"21680128\"]\n  16 [size=\"94177280\", alpha=\"0.16\", expect_size=\"37670912\"] \n  16 -> 17 [size =\"37670912\"]\n  17 [size=\"25758720\", alpha=\"0.16\", expect_size=\"10303488\"] \n  17 -> 18 [size =\"10303488\"]\n  18 [size=\"81740800\", alpha=\"0.01\", expect_size=\"32696320\"] \n  18 -> 19 [size =\"32696320\"]\n  19 [size=\"112166400\", alpha=\"0.14\", expect_size=\"44866560\"] \n  19 -> 20 [size =\"44866560\"]\n  20 [size=\"14922240\", alpha=\"0.07\", expect_size=\"5968896\"] \n  20 -> 21 [size =\"5968896\"]\n  21 [size=\"102159360\", alpha=\"0.14\", expect_size=\"40863744\"] \n  21 -> 22 [size =\"40863744\"]\n  22 [size=\"14571520\", alpha=\"0.10\", expect_size=\"5828608\"] \n  22 -> 23 [size =\"5828608\"]\n  23 [size=\"53245440\", alpha=\"0.16\", expect_size=\"21298176\"] \n  23 -> 24 [size =\"21298176\"]\n  24 [size=\"57574400\", alpha=\"0.03\", expect_size=\"23029760\"] \n  24 -> 25 [size =\"23029760\"]\n  25 [size=\"60459520\", alpha=\"0.02\", expect_size=\"24183808\"] \n  25 -> 26 [size =\"24183808\"]\n  26 [size=\"17881600\", alpha=\"0.14\", expect_size=\"7152640\"] \n  26 -> 27 [size =\"7152640\"]\n  27 [size=\"112532480\", alpha=\"0.12\", expect_size=\"45012992\"] \n  27 -> 28 [size =\"45012992\"]\n  28 [size=\"89231360\", alpha=\"0.16\", expect_size=\"35692544\"] \n  28 -> 29 [size =\"35692544\"]\n  29 [size=\"94254080\", alpha=\"0.13\", expect_size=\"37701632\"] \n  29 -> 30 [size =\"37701632\"]\n  30 [size=\"60487680\", alpha=\"0.17\", expect_size=\"24195072\"] \n  30 -> 31 [size =\"24195072\"]\n  31 [size=\"102305280\", alpha=\"0.01\", expect_size=\"40922112\"] \n  31 -> 32 [size =\"40922112\"]\n  32 [size=\"64829440\", alpha=\"0.14\", expect_size=\"25931776\"] \n  32 -> 33 [size =\"25931776\"]\n  33 [size=\"121835520\", alpha=\"0.15\", expect_size=\"48734208\"] \n  33 -> 34 [size =\"48734208\"]\n  34 [size=\"100241920\", alpha=\"0.04\", expect_size=\"40096768\"] \n  34 -> 35 [size =\"40096768\"]\n  35 [size=\"119175680\", alpha=\"0.00\", expect_size=\"47670272\"] \n  35 -> 36 [size =\"47670272\"]\n  36 [size=\"130933760\", alpha=\"0.10\", expect_size=\"52373504\"] \n  36 -> 37 [size =\"52373504\"]\n  37 [size=\"94126080\", alpha=\"0.02\", expect_size=\"37650432\"] \n  37 -> 38 [size =\"37650432\"]\n  38 [size=\"49815040\", alpha=\"0.05\", expect_size=\"19926016\"] \n  38 -> 39 [size =\"19926016\"]\n  39 [size=\"29030400\", alpha=\"0.06\", expect_size=\"11612160\"] \n  39 -> 40 [size =\"11612160\"]\n  40 [size=\"107077120\", alpha=\"0.06\", expect_size=\"42830848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17681067\", alpha=\"0.20\", expect_size=\"5304320\"] \n  1 -> 2 [size =\"5304320\"]\n  2 [size=\"44144640\", alpha=\"0.09\", expect_size=\"13243392\"] \n  2 -> 3 [size =\"13243392\"]\n  3 [size=\"99010560\", alpha=\"0.08\", expect_size=\"29703168\"] \n  3 -> 4 [size =\"29703168\"]\n  4 [size=\"111254187\", alpha=\"0.04\", expect_size=\"33376256\"] \n  4 -> 5 [size =\"33376256\"]\n  5 [size=\"114479787\", alpha=\"0.17\", expect_size=\"34343936\"] \n  5 -> 6 [size =\"34343936\"]\n  6 [size=\"118179840\", alpha=\"0.05\", expect_size=\"35453952\"] \n  6 -> 7 [size =\"35453952\"]\n  7 [size=\"151647573\", alpha=\"0.00\", expect_size=\"45494272\"] \n  7 -> 8 [size =\"45494272\"]\n  8 [size=\"100604587\", alpha=\"0.05\", expect_size=\"30181376\"] \n  8 -> 9 [size =\"30181376\"]\n  9 [size=\"83814400\", alpha=\"0.18\", expect_size=\"25144320\"] \n  9 -> 10 [size =\"25144320\"]\n  10 [size=\"126057813\", alpha=\"0.03\", expect_size=\"37817344\"] \n  10 -> 11 [size =\"37817344\"]\n  11 [size=\"40567467\", alpha=\"0.04\", expect_size=\"12170240\"] \n  11 -> 12 [size =\"12170240\"]\n  12 [size=\"38946133\", alpha=\"0.14\", expect_size=\"11683840\"] \n  12 -> 13 [size =\"11683840\"]\n  13 [size=\"112629760\", alpha=\"0.19\", expect_size=\"33788928\"] \n  13 -> 14 [size =\"33788928\"]\n  14 [size=\"19715413\", alpha=\"0.06\", expect_size=\"5914624\"] \n  14 -> 15 [size =\"5914624\"]\n  15 [size=\"54282240\", alpha=\"0.11\", expect_size=\"16284672\"] \n  15 -> 16 [size =\"16284672\"]\n  16 [size=\"27538773\", alpha=\"0.19\", expect_size=\"8261632\"] \n  16 -> 17 [size =\"8261632\"]\n  17 [size=\"70741333\", alpha=\"0.15\", expect_size=\"21222400\"] \n  17 -> 18 [size =\"21222400\"]\n  18 [size=\"73226240\", alpha=\"0.06\", expect_size=\"21967872\"] \n  18 -> 19 [size =\"21967872\"]\n  19 [size=\"113080320\", alpha=\"0.18\", expect_size=\"33924096\"] \n  19 -> 20 [size =\"33924096\"]\n  20 [size=\"98891093\", alpha=\"0.02\", expect_size=\"29667328\"] \n  20 -> 21 [size =\"29667328\"]\n  21 [size=\"122152960\", alpha=\"0.06\", expect_size=\"36645888\"] \n  21 -> 22 [size =\"36645888\"]\n  22 [size=\"149715627\", alpha=\"0.14\", expect_size=\"44914688\"] \n  22 -> 23 [size =\"44914688\"]\n  23 [size=\"100720640\", alpha=\"0.12\", expect_size=\"30216192\"] \n  23 -> 24 [size =\"30216192\"]\n  24 [size=\"92446720\", alpha=\"0.02\", expect_size=\"27734016\"] \n  24 -> 25 [size =\"27734016\"]\n  25 [size=\"136198827\", alpha=\"0.04\", expect_size=\"40859648\"] \n  25 -> 26 [size =\"40859648\"]\n  26 [size=\"62999893\", alpha=\"0.19\", expect_size=\"18899968\"] \n  26 -> 27 [size =\"18899968\"]\n  27 [size=\"52299093\", alpha=\"0.11\", expect_size=\"15689728\"] \n  27 -> 28 [size =\"15689728\"]\n  28 [size=\"169000960\", alpha=\"0.14\", expect_size=\"50700288\"] \n  28 -> 29 [size =\"50700288\"]\n  29 [size=\"62648320\", alpha=\"0.05\", expect_size=\"18794496\"] \n  29 -> 30 [size =\"18794496\"]\n  30 [size=\"45284693\", alpha=\"0.10\", expect_size=\"13585408\"] \n  30 -> 31 [size =\"13585408\"]\n  31 [size=\"60825600\", alpha=\"0.18\", expect_size=\"18247680\"] \n  31 -> 32 [size =\"18247680\"]\n  32 [size=\"109479253\", alpha=\"0.08\", expect_size=\"32843776\"] \n  32 -> 33 [size =\"32843776\"]\n  33 [size=\"60631040\", alpha=\"0.11\", expect_size=\"18189312\"] \n  33 -> 34 [size =\"18189312\"]\n  34 [size=\"153105067\", alpha=\"0.14\", expect_size=\"45931520\"] \n  34 -> 35 [size =\"45931520\"]\n  35 [size=\"166103040\", alpha=\"0.01\", expect_size=\"49830912\"] \n  35 -> 36 [size =\"49830912\"]\n  36 [size=\"39352320\", alpha=\"0.10\", expect_size=\"11805696\"] \n  36 -> 37 [size =\"11805696\"]\n  37 [size=\"30839467\", alpha=\"0.06\", expect_size=\"9251840\"] \n  37 -> 38 [size =\"9251840\"]\n  38 [size=\"117449387\", alpha=\"0.09\", expect_size=\"35234816\"] \n  38 -> 39 [size =\"35234816\"]\n  39 [size=\"67741013\", alpha=\"0.04\", expect_size=\"20322304\"] \n  39 -> 40 [size =\"20322304\"]\n  40 [size=\"105338880\", alpha=\"0.09\", expect_size=\"31601664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73086293\", alpha=\"0.18\", expect_size=\"21925888\"] \n  1 -> 19 [size =\"21925888\"]\n  1 -> 22 [size =\"21925888\"]\n  2 [size=\"53500587\", alpha=\"0.13\", expect_size=\"16050176\"] \n  2 -> 18 [size =\"16050176\"]\n  2 -> 21 [size =\"16050176\"]\n  3 [size=\"122320213\", alpha=\"0.12\", expect_size=\"36696064\"] \n  3 -> 18 [size =\"36696064\"]\n  3 -> 20 [size =\"36696064\"]\n  4 [size=\"57941333\", alpha=\"0.13\", expect_size=\"17382400\"] \n  4 -> 14 [size =\"17382400\"]\n  4 -> 16 [size =\"17382400\"]\n  4 -> 17 [size =\"17382400\"]\n  4 -> 22 [size =\"17382400\"]\n  5 [size=\"169178453\", alpha=\"0.17\", expect_size=\"50753536\"] \n  5 -> 21 [size =\"50753536\"]\n  5 -> 22 [size =\"50753536\"]\n  6 [size=\"92351147\", alpha=\"0.01\", expect_size=\"27705344\"] \n  7 [size=\"112489813\", alpha=\"0.13\", expect_size=\"33746944\"] \n  7 -> 17 [size =\"33746944\"]\n  8 [size=\"137287680\", alpha=\"0.05\", expect_size=\"41186304\"] \n  8 -> 20 [size =\"41186304\"]\n  8 -> 23 [size =\"41186304\"]\n  9 [size=\"167758507\", alpha=\"0.08\", expect_size=\"50327552\"] \n  10 [size=\"141643093\", alpha=\"0.19\", expect_size=\"42492928\"] \n  10 -> 15 [size =\"42492928\"]\n  10 -> 17 [size =\"42492928\"]\n  10 -> 18 [size =\"42492928\"]\n  10 -> 23 [size =\"42492928\"]\n  10 -> 24 [size =\"42492928\"]\n  11 [size=\"167823360\", alpha=\"0.03\", expect_size=\"50347008\"] \n  11 -> 18 [size =\"50347008\"]\n  11 -> 20 [size =\"50347008\"]\n  12 [size=\"148759893\", alpha=\"0.09\", expect_size=\"44627968\"] \n  12 -> 17 [size =\"44627968\"]\n  12 -> 19 [size =\"44627968\"]\n  12 -> 20 [size =\"44627968\"]\n  12 -> 22 [size =\"44627968\"]\n  12 -> 23 [size =\"44627968\"]\n  12 -> 24 [size =\"44627968\"]\n  13 [size=\"94358187\", alpha=\"0.08\", expect_size=\"28307456\"] \n  13 -> 21 [size =\"28307456\"]\n  13 -> 23 [size =\"28307456\"]\n  14 [size=\"30931627\", alpha=\"0.12\", expect_size=\"9279488\"] \n  14 -> 29 [size =\"9279488\"]\n  14 -> 30 [size =\"9279488\"]\n  14 -> 33 [size =\"9279488\"]\n  14 -> 34 [size =\"9279488\"]\n  14 -> 37 [size =\"9279488\"]\n  15 [size=\"132420267\", alpha=\"0.17\", expect_size=\"39726080\"] \n  15 -> 26 [size =\"39726080\"]\n  15 -> 29 [size =\"39726080\"]\n  15 -> 32 [size =\"39726080\"]\n  15 -> 37 [size =\"39726080\"]\n  16 [size=\"111957333\", alpha=\"0.07\", expect_size=\"33587200\"] \n  16 -> 30 [size =\"33587200\"]\n  16 -> 31 [size =\"33587200\"]\n  17 [size=\"116923733\", alpha=\"0.12\", expect_size=\"35077120\"] \n  17 -> 25 [size =\"35077120\"]\n  17 -> 27 [size =\"35077120\"]\n  17 -> 30 [size =\"35077120\"]\n  17 -> 37 [size =\"35077120\"]\n  18 [size=\"65669120\", alpha=\"0.07\", expect_size=\"19700736\"] \n  18 -> 26 [size =\"19700736\"]\n  18 -> 29 [size =\"19700736\"]\n  18 -> 30 [size =\"19700736\"]\n  18 -> 33 [size =\"19700736\"]\n  18 -> 37 [size =\"19700736\"]\n  19 [size=\"102198613\", alpha=\"0.20\", expect_size=\"30659584\"] \n  19 -> 25 [size =\"30659584\"]\n  19 -> 31 [size =\"30659584\"]\n  19 -> 33 [size =\"30659584\"]\n  19 -> 35 [size =\"30659584\"]\n  20 [size=\"163283627\", alpha=\"0.13\", expect_size=\"48985088\"] \n  20 -> 30 [size =\"48985088\"]\n  20 -> 36 [size =\"48985088\"]\n  21 [size=\"155866453\", alpha=\"0.13\", expect_size=\"46759936\"] \n  21 -> 29 [size =\"46759936\"]\n  21 -> 30 [size =\"46759936\"]\n  21 -> 36 [size =\"46759936\"]\n  22 [size=\"21807787\", alpha=\"0.17\", expect_size=\"6542336\"] \n  22 -> 27 [size =\"6542336\"]\n  22 -> 33 [size =\"6542336\"]\n  22 -> 36 [size =\"6542336\"]\n  23 [size=\"91886933\", alpha=\"0.15\", expect_size=\"27566080\"] \n  23 -> 27 [size =\"27566080\"]\n  23 -> 28 [size =\"27566080\"]\n  23 -> 29 [size =\"27566080\"]\n  23 -> 31 [size =\"27566080\"]\n  23 -> 34 [size =\"27566080\"]\n  23 -> 36 [size =\"27566080\"]\n  24 [size=\"151579307\", alpha=\"0.18\", expect_size=\"45473792\"] \n  24 -> 32 [size =\"45473792\"]\n  24 -> 36 [size =\"45473792\"]\n  24 -> 37 [size =\"45473792\"]\n  25 [size=\"87678293\", alpha=\"0.20\", expect_size=\"26303488\"] \n  25 -> 40 [size =\"26303488\"]\n  26 [size=\"65163947\", alpha=\"0.11\", expect_size=\"19549184\"] \n  26 -> 39 [size =\"19549184\"]\n  27 [size=\"118101333\", alpha=\"0.15\", expect_size=\"35430400\"] \n  27 -> 38 [size =\"35430400\"]\n  28 [size=\"55866027\", alpha=\"0.14\", expect_size=\"16759808\"] \n  29 [size=\"113247573\", alpha=\"0.12\", expect_size=\"33974272\"] \n  30 [size=\"113186133\", alpha=\"0.06\", expect_size=\"33955840\"] \n  31 [size=\"56128853\", alpha=\"0.19\", expect_size=\"16838656\"] \n  31 -> 39 [size =\"16838656\"]\n  32 [size=\"154978987\", alpha=\"0.09\", expect_size=\"46493696\"] \n  33 [size=\"131184640\", alpha=\"0.09\", expect_size=\"39355392\"] \n  34 [size=\"89593173\", alpha=\"0.10\", expect_size=\"26877952\"] \n  34 -> 39 [size =\"26877952\"]\n  35 [size=\"70673067\", alpha=\"0.06\", expect_size=\"21201920\"] \n  35 -> 39 [size =\"21201920\"]\n  35 -> 40 [size =\"21201920\"]\n  36 [size=\"68843520\", alpha=\"0.13\", expect_size=\"20653056\"] \n  37 [size=\"158976000\", alpha=\"0.14\", expect_size=\"47692800\"] \n  38 [size=\"121518080\", alpha=\"0.00\", expect_size=\"36455424\"] \n  39 [size=\"76277760\", alpha=\"0.18\", expect_size=\"22883328\"] \n  40 [size=\"173540693\", alpha=\"0.14\", expect_size=\"52062208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20321280\", alpha=\"0.20\", expect_size=\"8128512\"] \n  1 -> 33 [size =\"8128512\"]\n  1 -> 34 [size =\"8128512\"]\n  1 -> 37 [size =\"8128512\"]\n  1 -> 38 [size =\"8128512\"]\n  2 [size=\"102543360\", alpha=\"0.05\", expect_size=\"41017344\"] \n  2 -> 35 [size =\"41017344\"]\n  2 -> 39 [size =\"41017344\"]\n  3 [size=\"82961920\", alpha=\"0.19\", expect_size=\"33184768\"] \n  3 -> 32 [size =\"33184768\"]\n  3 -> 34 [size =\"33184768\"]\n  4 [size=\"81512960\", alpha=\"0.13\", expect_size=\"32605184\"] \n  4 -> 32 [size =\"32605184\"]\n  4 -> 34 [size =\"32605184\"]\n  4 -> 35 [size =\"32605184\"]\n  4 -> 39 [size =\"32605184\"]\n  5 [size=\"68321280\", alpha=\"0.10\", expect_size=\"27328512\"] \n  5 -> 33 [size =\"27328512\"]\n  5 -> 37 [size =\"27328512\"]\n  5 -> 38 [size =\"27328512\"]\n  5 -> 40 [size =\"27328512\"]\n  6 [size=\"77969920\", alpha=\"0.02\", expect_size=\"31187968\"] \n  6 -> 34 [size =\"31187968\"]\n  6 -> 37 [size =\"31187968\"]\n  7 [size=\"87203840\", alpha=\"0.10\", expect_size=\"34881536\"] \n  7 -> 30 [size =\"34881536\"]\n  7 -> 36 [size =\"34881536\"]\n  7 -> 39 [size =\"34881536\"]\n  8 [size=\"84008960\", alpha=\"0.20\", expect_size=\"33603584\"] \n  8 -> 33 [size =\"33603584\"]\n  9 [size=\"129356800\", alpha=\"0.10\", expect_size=\"51742720\"] \n  9 -> 30 [size =\"51742720\"]\n  9 -> 35 [size =\"51742720\"]\n  9 -> 39 [size =\"51742720\"]\n  10 [size=\"32527360\", alpha=\"0.02\", expect_size=\"13010944\"] \n  10 -> 30 [size =\"13010944\"]\n  10 -> 32 [size =\"13010944\"]\n  10 -> 35 [size =\"13010944\"]\n  10 -> 39 [size =\"13010944\"]\n  10 -> 40 [size =\"13010944\"]\n  11 [size=\"97664000\", alpha=\"0.09\", expect_size=\"39065600\"] \n  11 -> 30 [size =\"39065600\"]\n  11 -> 34 [size =\"39065600\"]\n  11 -> 35 [size =\"39065600\"]\n  11 -> 39 [size =\"39065600\"]\n  12 [size=\"97553920\", alpha=\"0.04\", expect_size=\"39021568\"] \n  12 -> 34 [size =\"39021568\"]\n  12 -> 39 [size =\"39021568\"]\n  13 [size=\"124961280\", alpha=\"0.12\", expect_size=\"49984512\"] \n  13 -> 33 [size =\"49984512\"]\n  13 -> 34 [size =\"49984512\"]\n  14 [size=\"121236480\", alpha=\"0.03\", expect_size=\"48494592\"] \n  14 -> 32 [size =\"48494592\"]\n  14 -> 33 [size =\"48494592\"]\n  14 -> 34 [size =\"48494592\"]\n  14 -> 38 [size =\"48494592\"]\n  15 [size=\"80002560\", alpha=\"0.13\", expect_size=\"32001024\"] \n  15 -> 28 [size =\"32001024\"]\n  15 -> 30 [size =\"32001024\"]\n  15 -> 33 [size =\"32001024\"]\n  15 -> 38 [size =\"32001024\"]\n  15 -> 39 [size =\"32001024\"]\n  15 -> 40 [size =\"32001024\"]\n  16 [size=\"20444160\", alpha=\"0.10\", expect_size=\"8177664\"] \n  16 -> 29 [size =\"8177664\"]\n  16 -> 31 [size =\"8177664\"]\n  16 -> 33 [size =\"8177664\"]\n  16 -> 35 [size =\"8177664\"]\n  16 -> 40 [size =\"8177664\"]\n  17 [size=\"31626240\", alpha=\"0.03\", expect_size=\"12650496\"] \n  17 -> 31 [size =\"12650496\"]\n  17 -> 31 [size =\"12650496\"]\n  17 -> 32 [size =\"12650496\"]\n  17 -> 33 [size =\"12650496\"]\n  17 -> 39 [size =\"12650496\"]\n  18 [size=\"93314560\", alpha=\"0.03\", expect_size=\"37325824\"] \n  18 -> 28 [size =\"37325824\"]\n  18 -> 31 [size =\"37325824\"]\n  18 -> 32 [size =\"37325824\"]\n  18 -> 33 [size =\"37325824\"]\n  18 -> 37 [size =\"37325824\"]\n  18 -> 40 [size =\"37325824\"]\n  19 [size=\"92828160\", alpha=\"0.05\", expect_size=\"37131264\"] \n  19 -> 31 [size =\"37131264\"]\n  19 -> 32 [size =\"37131264\"]\n  19 -> 33 [size =\"37131264\"]\n  19 -> 35 [size =\"37131264\"]\n  19 -> 37 [size =\"37131264\"]\n  19 -> 40 [size =\"37131264\"]\n  20 [size=\"34769920\", alpha=\"0.17\", expect_size=\"13907968\"] \n  20 -> 34 [size =\"13907968\"]\n  20 -> 35 [size =\"13907968\"]\n  20 -> 40 [size =\"13907968\"]\n  21 [size=\"49477120\", alpha=\"0.11\", expect_size=\"19790848\"] \n  21 -> 32 [size =\"19790848\"]\n  21 -> 35 [size =\"19790848\"]\n  21 -> 38 [size =\"19790848\"]\n  22 [size=\"102801920\", alpha=\"0.20\", expect_size=\"41120768\"] \n  22 -> 31 [size =\"41120768\"]\n  22 -> 35 [size =\"41120768\"]\n  22 -> 37 [size =\"41120768\"]\n  23 [size=\"127313920\", alpha=\"0.01\", expect_size=\"50925568\"] \n  23 -> 30 [size =\"50925568\"]\n  23 -> 31 [size =\"50925568\"]\n  23 -> 37 [size =\"50925568\"]\n  23 -> 38 [size =\"50925568\"]\n  23 -> 39 [size =\"50925568\"]\n  24 [size=\"78801920\", alpha=\"0.13\", expect_size=\"31520768\"] \n  24 -> 31 [size =\"31520768\"]\n  24 -> 31 [size =\"31520768\"]\n  24 -> 37 [size =\"31520768\"]\n  24 -> 38 [size =\"31520768\"]\n  24 -> 39 [size =\"31520768\"]\n  25 [size=\"98885120\", alpha=\"0.15\", expect_size=\"39554048\"] \n  25 -> 31 [size =\"39554048\"]\n  25 -> 33 [size =\"39554048\"]\n  25 -> 38 [size =\"39554048\"]\n  25 -> 39 [size =\"39554048\"]\n  25 -> 40 [size =\"39554048\"]\n  26 [size=\"56453120\", alpha=\"0.07\", expect_size=\"22581248\"] \n  26 -> 28 [size =\"22581248\"]\n  26 -> 31 [size =\"22581248\"]\n  26 -> 32 [size =\"22581248\"]\n  26 -> 33 [size =\"22581248\"]\n  26 -> 35 [size =\"22581248\"]\n  26 -> 38 [size =\"22581248\"]\n  27 [size=\"114644480\", alpha=\"0.13\", expect_size=\"45857792\"] \n  27 -> 31 [size =\"45857792\"]\n  27 -> 33 [size =\"45857792\"]\n  27 -> 37 [size =\"45857792\"]\n  27 -> 38 [size =\"45857792\"]\n  27 -> 39 [size =\"45857792\"]\n  27 -> 40 [size =\"45857792\"]\n  28 [size=\"17282560\", alpha=\"0.10\", expect_size=\"6913024\"] \n  29 [size=\"37555200\", alpha=\"0.07\", expect_size=\"15022080\"] \n  30 [size=\"66245120\", alpha=\"0.07\", expect_size=\"26498048\"] \n  31 [size=\"50641920\", alpha=\"0.02\", expect_size=\"20256768\"] \n  32 [size=\"115924480\", alpha=\"0.11\", expect_size=\"46369792\"] \n  33 [size=\"115604480\", alpha=\"0.18\", expect_size=\"46241792\"] \n  34 [size=\"119534080\", alpha=\"0.05\", expect_size=\"47813632\"] \n  35 [size=\"78156800\", alpha=\"0.02\", expect_size=\"31262720\"] \n  36 [size=\"46686720\", alpha=\"0.01\", expect_size=\"18674688\"] \n  37 [size=\"89986560\", alpha=\"0.03\", expect_size=\"35994624\"] \n  38 [size=\"46225920\", alpha=\"0.19\", expect_size=\"18490368\"] \n  39 [size=\"104273920\", alpha=\"0.08\", expect_size=\"41709568\"] \n  40 [size=\"26485760\", alpha=\"0.00\", expect_size=\"10594304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76666880\", alpha=\"0.20\", expect_size=\"38333440\"] \n  1 -> 7 [size =\"38333440\"]\n  1 -> 9 [size =\"38333440\"]\n  2 [size=\"48371712\", alpha=\"0.05\", expect_size=\"24185856\"] \n  2 -> 6 [size =\"24185856\"]\n  2 -> 9 [size =\"24185856\"]\n  2 -> 10 [size =\"24185856\"]\n  2 -> 11 [size =\"24185856\"]\n  3 [size=\"100007936\", alpha=\"0.07\", expect_size=\"50003968\"] \n  3 -> 10 [size =\"50003968\"]\n  3 -> 12 [size =\"50003968\"]\n  4 [size=\"64757760\", alpha=\"0.18\", expect_size=\"32378880\"] \n  4 -> 7 [size =\"32378880\"]\n  4 -> 8 [size =\"32378880\"]\n  4 -> 10 [size =\"32378880\"]\n  4 -> 11 [size =\"32378880\"]\n  5 [size=\"35846144\", alpha=\"0.18\", expect_size=\"17923072\"] \n  5 -> 6 [size =\"17923072\"]\n  5 -> 8 [size =\"17923072\"]\n  5 -> 9 [size =\"17923072\"]\n  6 [size=\"42385408\", alpha=\"0.19\", expect_size=\"21192704\"] \n  6 -> 13 [size =\"21192704\"]\n  6 -> 16 [size =\"21192704\"]\n  7 [size=\"48068608\", alpha=\"0.13\", expect_size=\"24034304\"] \n  7 -> 15 [size =\"24034304\"]\n  8 [size=\"37246976\", alpha=\"0.00\", expect_size=\"18623488\"] \n  8 -> 14 [size =\"18623488\"]\n  8 -> 15 [size =\"18623488\"]\n  9 [size=\"25520128\", alpha=\"0.09\", expect_size=\"12760064\"] \n  9 -> 14 [size =\"12760064\"]\n  10 [size=\"59852800\", alpha=\"0.19\", expect_size=\"29926400\"] \n  11 [size=\"89876480\", alpha=\"0.10\", expect_size=\"44938240\"] \n  11 -> 14 [size =\"44938240\"]\n  12 [size=\"88176640\", alpha=\"0.07\", expect_size=\"44088320\"] \n  12 -> 14 [size =\"44088320\"]\n  13 [size=\"17137664\", alpha=\"0.05\", expect_size=\"8568832\"] \n  13 -> 21 [size =\"8568832\"]\n  14 [size=\"50163712\", alpha=\"0.09\", expect_size=\"25081856\"] \n  14 -> 17 [size =\"25081856\"]\n  14 -> 19 [size =\"25081856\"]\n  14 -> 20 [size =\"25081856\"]\n  15 [size=\"41494528\", alpha=\"0.15\", expect_size=\"20747264\"] \n  15 -> 17 [size =\"20747264\"]\n  15 -> 18 [size =\"20747264\"]\n  16 [size=\"33558528\", alpha=\"0.04\", expect_size=\"16779264\"] \n  16 -> 18 [size =\"16779264\"]\n  16 -> 19 [size =\"16779264\"]\n  17 [size=\"27805696\", alpha=\"0.13\", expect_size=\"13902848\"] \n  17 -> 23 [size =\"13902848\"]\n  18 [size=\"91430912\", alpha=\"0.10\", expect_size=\"45715456\"] \n  18 -> 24 [size =\"45715456\"]\n  18 -> 26 [size =\"45715456\"]\n  19 [size=\"91801600\", alpha=\"0.10\", expect_size=\"45900800\"] \n  19 -> 22 [size =\"45900800\"]\n  19 -> 24 [size =\"45900800\"]\n  19 -> 25 [size =\"45900800\"]\n  20 [size=\"41506816\", alpha=\"0.04\", expect_size=\"20753408\"] \n  20 -> 23 [size =\"20753408\"]\n  20 -> 25 [size =\"20753408\"]\n  21 [size=\"35815424\", alpha=\"0.12\", expect_size=\"17907712\"] \n  22 [size=\"81504256\", alpha=\"0.09\", expect_size=\"40752128\"] \n  22 -> 27 [size =\"40752128\"]\n  22 -> 29 [size =\"40752128\"]\n  22 -> 32 [size =\"40752128\"]\n  23 [size=\"21252096\", alpha=\"0.04\", expect_size=\"10626048\"] \n  23 -> 27 [size =\"10626048\"]\n  23 -> 28 [size =\"10626048\"]\n  24 [size=\"44218368\", alpha=\"0.10\", expect_size=\"22109184\"] \n  24 -> 27 [size =\"22109184\"]\n  24 -> 31 [size =\"22109184\"]\n  25 [size=\"88991744\", alpha=\"0.02\", expect_size=\"44495872\"] \n  25 -> 30 [size =\"44495872\"]\n  25 -> 31 [size =\"44495872\"]\n  25 -> 32 [size =\"44495872\"]\n  26 [size=\"65869824\", alpha=\"0.01\", expect_size=\"32934912\"] \n  26 -> 32 [size =\"32934912\"]\n  27 [size=\"84844544\", alpha=\"0.08\", expect_size=\"42422272\"] \n  27 -> 33 [size =\"42422272\"]\n  27 -> 34 [size =\"42422272\"]\n  27 -> 35 [size =\"42422272\"]\n  27 -> 37 [size =\"42422272\"]\n  28 [size=\"52008960\", alpha=\"0.01\", expect_size=\"26004480\"] \n  28 -> 33 [size =\"26004480\"]\n  28 -> 34 [size =\"26004480\"]\n  28 -> 37 [size =\"26004480\"]\n  29 [size=\"98816000\", alpha=\"0.16\", expect_size=\"49408000\"] \n  29 -> 35 [size =\"49408000\"]\n  29 -> 36 [size =\"49408000\"]\n  30 [size=\"52097024\", alpha=\"0.02\", expect_size=\"26048512\"] \n  30 -> 33 [size =\"26048512\"]\n  30 -> 34 [size =\"26048512\"]\n  30 -> 35 [size =\"26048512\"]\n  30 -> 36 [size =\"26048512\"]\n  31 [size=\"72112128\", alpha=\"0.05\", expect_size=\"36056064\"] \n  31 -> 36 [size =\"36056064\"]\n  31 -> 37 [size =\"36056064\"]\n  32 [size=\"36298752\", alpha=\"0.05\", expect_size=\"18149376\"] \n  33 [size=\"76920832\", alpha=\"0.05\", expect_size=\"38460416\"] \n  33 -> 39 [size =\"38460416\"]\n  34 [size=\"94750720\", alpha=\"0.15\", expect_size=\"47375360\"] \n  35 [size=\"49692672\", alpha=\"0.10\", expect_size=\"24846336\"] \n  35 -> 39 [size =\"24846336\"]\n  35 -> 40 [size =\"24846336\"]\n  36 [size=\"61480960\", alpha=\"0.11\", expect_size=\"30740480\"] \n  36 -> 38 [size =\"30740480\"]\n  36 -> 39 [size =\"30740480\"]\n  37 [size=\"67641344\", alpha=\"0.15\", expect_size=\"33820672\"] \n  38 [size=\"11388928\", alpha=\"0.17\", expect_size=\"5694464\"] \n  39 [size=\"13854720\", alpha=\"0.16\", expect_size=\"6927360\"] \n  40 [size=\"90075136\", alpha=\"0.01\", expect_size=\"45037568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104245760\", alpha=\"0.15\", expect_size=\"41698304\"] \n  1 -> 30 [size =\"41698304\"]\n  1 -> 31 [size =\"41698304\"]\n  1 -> 32 [size =\"41698304\"]\n  1 -> 38 [size =\"41698304\"]\n  1 -> 39 [size =\"41698304\"]\n  2 [size=\"29916160\", alpha=\"0.08\", expect_size=\"11966464\"] \n  2 -> 31 [size =\"11966464\"]\n  2 -> 31 [size =\"11966464\"]\n  2 -> 38 [size =\"11966464\"]\n  2 -> 38 [size =\"11966464\"]\n  3 [size=\"50311680\", alpha=\"0.10\", expect_size=\"20124672\"] \n  3 -> 29 [size =\"20124672\"]\n  3 -> 30 [size =\"20124672\"]\n  3 -> 32 [size =\"20124672\"]\n  3 -> 38 [size =\"20124672\"]\n  3 -> 40 [size =\"20124672\"]\n  4 [size=\"40115200\", alpha=\"0.07\", expect_size=\"16046080\"] \n  4 -> 29 [size =\"16046080\"]\n  4 -> 35 [size =\"16046080\"]\n  4 -> 36 [size =\"16046080\"]\n  4 -> 38 [size =\"16046080\"]\n  5 [size=\"64558080\", alpha=\"0.14\", expect_size=\"25823232\"] \n  5 -> 29 [size =\"25823232\"]\n  5 -> 31 [size =\"25823232\"]\n  5 -> 35 [size =\"25823232\"]\n  5 -> 38 [size =\"25823232\"]\n  6 [size=\"84915200\", alpha=\"0.05\", expect_size=\"33966080\"] \n  6 -> 28 [size =\"33966080\"]\n  6 -> 29 [size =\"33966080\"]\n  6 -> 30 [size =\"33966080\"]\n  6 -> 31 [size =\"33966080\"]\n  6 -> 34 [size =\"33966080\"]\n  6 -> 38 [size =\"33966080\"]\n  7 [size=\"62586880\", alpha=\"0.17\", expect_size=\"25034752\"] \n  7 -> 35 [size =\"25034752\"]\n  7 -> 37 [size =\"25034752\"]\n  7 -> 39 [size =\"25034752\"]\n  8 [size=\"23406080\", alpha=\"0.18\", expect_size=\"9362432\"] \n  8 -> 29 [size =\"9362432\"]\n  8 -> 30 [size =\"9362432\"]\n  8 -> 31 [size =\"9362432\"]\n  8 -> 37 [size =\"9362432\"]\n  9 [size=\"51571200\", alpha=\"0.17\", expect_size=\"20628480\"] \n  9 -> 29 [size =\"20628480\"]\n  9 -> 30 [size =\"20628480\"]\n  9 -> 31 [size =\"20628480\"]\n  9 -> 33 [size =\"20628480\"]\n  9 -> 35 [size =\"20628480\"]\n  9 -> 36 [size =\"20628480\"]\n  10 [size=\"121756160\", alpha=\"0.08\", expect_size=\"48702464\"] \n  10 -> 29 [size =\"48702464\"]\n  10 -> 30 [size =\"48702464\"]\n  10 -> 31 [size =\"48702464\"]\n  10 -> 32 [size =\"48702464\"]\n  10 -> 36 [size =\"48702464\"]\n  10 -> 37 [size =\"48702464\"]\n  10 -> 38 [size =\"48702464\"]\n  11 [size=\"86796800\", alpha=\"0.00\", expect_size=\"34718720\"] \n  11 -> 29 [size =\"34718720\"]\n  11 -> 30 [size =\"34718720\"]\n  11 -> 37 [size =\"34718720\"]\n  12 [size=\"55413760\", alpha=\"0.04\", expect_size=\"22165504\"] \n  12 -> 29 [size =\"22165504\"]\n  12 -> 32 [size =\"22165504\"]\n  12 -> 33 [size =\"22165504\"]\n  12 -> 35 [size =\"22165504\"]\n  12 -> 40 [size =\"22165504\"]\n  13 [size=\"103864320\", alpha=\"0.19\", expect_size=\"41545728\"] \n  13 -> 28 [size =\"41545728\"]\n  13 -> 30 [size =\"41545728\"]\n  13 -> 31 [size =\"41545728\"]\n  13 -> 33 [size =\"41545728\"]\n  13 -> 34 [size =\"41545728\"]\n  13 -> 35 [size =\"41545728\"]\n  13 -> 36 [size =\"41545728\"]\n  14 [size=\"45350400\", alpha=\"0.12\", expect_size=\"18140160\"] \n  14 -> 28 [size =\"18140160\"]\n  14 -> 30 [size =\"18140160\"]\n  14 -> 31 [size =\"18140160\"]\n  14 -> 33 [size =\"18140160\"]\n  14 -> 34 [size =\"18140160\"]\n  14 -> 35 [size =\"18140160\"]\n  14 -> 40 [size =\"18140160\"]\n  15 [size=\"87168000\", alpha=\"0.09\", expect_size=\"34867200\"] \n  15 -> 28 [size =\"34867200\"]\n  15 -> 29 [size =\"34867200\"]\n  15 -> 31 [size =\"34867200\"]\n  15 -> 32 [size =\"34867200\"]\n  15 -> 33 [size =\"34867200\"]\n  15 -> 35 [size =\"34867200\"]\n  16 [size=\"53862400\", alpha=\"0.11\", expect_size=\"21544960\"] \n  16 -> 28 [size =\"21544960\"]\n  16 -> 32 [size =\"21544960\"]\n  16 -> 33 [size =\"21544960\"]\n  16 -> 35 [size =\"21544960\"]\n  16 -> 37 [size =\"21544960\"]\n  16 -> 38 [size =\"21544960\"]\n  17 [size=\"81850880\", alpha=\"0.19\", expect_size=\"32740352\"] \n  17 -> 28 [size =\"32740352\"]\n  17 -> 32 [size =\"32740352\"]\n  17 -> 35 [size =\"32740352\"]\n  17 -> 37 [size =\"32740352\"]\n  18 [size=\"61585920\", alpha=\"0.07\", expect_size=\"24634368\"] \n  18 -> 28 [size =\"24634368\"]\n  18 -> 29 [size =\"24634368\"]\n  18 -> 36 [size =\"24634368\"]\n  19 [size=\"50467840\", alpha=\"0.04\", expect_size=\"20187136\"] \n  19 -> 28 [size =\"20187136\"]\n  19 -> 29 [size =\"20187136\"]\n  19 -> 35 [size =\"20187136\"]\n  19 -> 37 [size =\"20187136\"]\n  20 [size=\"35025920\", alpha=\"0.06\", expect_size=\"14010368\"] \n  20 -> 28 [size =\"14010368\"]\n  20 -> 30 [size =\"14010368\"]\n  20 -> 31 [size =\"14010368\"]\n  20 -> 33 [size =\"14010368\"]\n  20 -> 35 [size =\"14010368\"]\n  20 -> 37 [size =\"14010368\"]\n  20 -> 38 [size =\"14010368\"]\n  20 -> 39 [size =\"14010368\"]\n  21 [size=\"84293120\", alpha=\"0.03\", expect_size=\"33717248\"] \n  21 -> 32 [size =\"33717248\"]\n  21 -> 33 [size =\"33717248\"]\n  21 -> 36 [size =\"33717248\"]\n  21 -> 38 [size =\"33717248\"]\n  22 [size=\"87057920\", alpha=\"0.03\", expect_size=\"34823168\"] \n  22 -> 29 [size =\"34823168\"]\n  22 -> 30 [size =\"34823168\"]\n  22 -> 33 [size =\"34823168\"]\n  22 -> 38 [size =\"34823168\"]\n  23 [size=\"113141760\", alpha=\"0.10\", expect_size=\"45256704\"] \n  23 -> 29 [size =\"45256704\"]\n  23 -> 31 [size =\"45256704\"]\n  23 -> 33 [size =\"45256704\"]\n  23 -> 36 [size =\"45256704\"]\n  23 -> 37 [size =\"45256704\"]\n  23 -> 38 [size =\"45256704\"]\n  24 [size=\"105886720\", alpha=\"0.01\", expect_size=\"42354688\"] \n  24 -> 29 [size =\"42354688\"]\n  24 -> 30 [size =\"42354688\"]\n  24 -> 33 [size =\"42354688\"]\n  24 -> 34 [size =\"42354688\"]\n  24 -> 35 [size =\"42354688\"]\n  24 -> 37 [size =\"42354688\"]\n  24 -> 40 [size =\"42354688\"]\n  25 [size=\"61399040\", alpha=\"0.00\", expect_size=\"24559616\"] \n  25 -> 28 [size =\"24559616\"]\n  25 -> 29 [size =\"24559616\"]\n  25 -> 30 [size =\"24559616\"]\n  25 -> 32 [size =\"24559616\"]\n  25 -> 33 [size =\"24559616\"]\n  25 -> 35 [size =\"24559616\"]\n  25 -> 37 [size =\"24559616\"]\n  26 [size=\"112023040\", alpha=\"0.12\", expect_size=\"44809216\"] \n  26 -> 28 [size =\"44809216\"]\n  26 -> 29 [size =\"44809216\"]\n  26 -> 30 [size =\"44809216\"]\n  26 -> 35 [size =\"44809216\"]\n  26 -> 38 [size =\"44809216\"]\n  27 [size=\"59287040\", alpha=\"0.13\", expect_size=\"23714816\"] \n  27 -> 29 [size =\"23714816\"]\n  27 -> 30 [size =\"23714816\"]\n  27 -> 31 [size =\"23714816\"]\n  27 -> 32 [size =\"23714816\"]\n  27 -> 33 [size =\"23714816\"]\n  27 -> 37 [size =\"23714816\"]\n  27 -> 38 [size =\"23714816\"]\n  28 [size=\"53337600\", alpha=\"0.15\", expect_size=\"21335040\"] \n  29 [size=\"96271360\", alpha=\"0.03\", expect_size=\"38508544\"] \n  30 [size=\"121840640\", alpha=\"0.10\", expect_size=\"48736256\"] \n  31 [size=\"39915520\", alpha=\"0.09\", expect_size=\"15966208\"] \n  32 [size=\"59607040\", alpha=\"0.16\", expect_size=\"23842816\"] \n  33 [size=\"79759360\", alpha=\"0.18\", expect_size=\"31903744\"] \n  34 [size=\"19612160\", alpha=\"0.06\", expect_size=\"7844864\"] \n  35 [size=\"24140800\", alpha=\"0.06\", expect_size=\"9656320\"] \n  36 [size=\"26833920\", alpha=\"0.12\", expect_size=\"10733568\"] \n  37 [size=\"99496960\", alpha=\"0.11\", expect_size=\"39798784\"] \n  38 [size=\"55682560\", alpha=\"0.18\", expect_size=\"22273024\"] \n  39 [size=\"23656960\", alpha=\"0.11\", expect_size=\"9462784\"] \n  40 [size=\"41884160\", alpha=\"0.08\", expect_size=\"16753664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50515968\", alpha=\"0.00\", expect_size=\"25257984\"] \n  1 -> 12 [size =\"25257984\"]\n  2 [size=\"15210496\", alpha=\"0.09\", expect_size=\"7605248\"] \n  2 -> 8 [size =\"7605248\"]\n  2 -> 10 [size =\"7605248\"]\n  2 -> 12 [size =\"7605248\"]\n  3 [size=\"49760256\", alpha=\"0.12\", expect_size=\"24880128\"] \n  3 -> 7 [size =\"24880128\"]\n  3 -> 8 [size =\"24880128\"]\n  3 -> 10 [size =\"24880128\"]\n  3 -> 11 [size =\"24880128\"]\n  3 -> 12 [size =\"24880128\"]\n  4 [size=\"70268928\", alpha=\"0.11\", expect_size=\"35134464\"] \n  4 -> 8 [size =\"35134464\"]\n  4 -> 9 [size =\"35134464\"]\n  4 -> 10 [size =\"35134464\"]\n  4 -> 12 [size =\"35134464\"]\n  5 [size=\"63311872\", alpha=\"0.05\", expect_size=\"31655936\"] \n  6 [size=\"88293376\", alpha=\"0.07\", expect_size=\"44146688\"] \n  6 -> 12 [size =\"44146688\"]\n  7 [size=\"33114112\", alpha=\"0.01\", expect_size=\"16557056\"] \n  7 -> 13 [size =\"16557056\"]\n  7 -> 14 [size =\"16557056\"]\n  7 -> 15 [size =\"16557056\"]\n  8 [size=\"61646848\", alpha=\"0.16\", expect_size=\"30823424\"] \n  8 -> 13 [size =\"30823424\"]\n  9 [size=\"17199104\", alpha=\"0.11\", expect_size=\"8599552\"] \n  9 -> 15 [size =\"8599552\"]\n  10 [size=\"26757120\", alpha=\"0.10\", expect_size=\"13378560\"] \n  10 -> 16 [size =\"13378560\"]\n  11 [size=\"26761216\", alpha=\"0.17\", expect_size=\"13380608\"] \n  11 -> 17 [size =\"13380608\"]\n  12 [size=\"28862464\", alpha=\"0.17\", expect_size=\"14431232\"] \n  12 -> 13 [size =\"14431232\"]\n  13 [size=\"72040448\", alpha=\"0.02\", expect_size=\"36020224\"] \n  13 -> 21 [size =\"36020224\"]\n  13 -> 22 [size =\"36020224\"]\n  14 [size=\"32458752\", alpha=\"0.12\", expect_size=\"16229376\"] \n  14 -> 20 [size =\"16229376\"]\n  14 -> 23 [size =\"16229376\"]\n  15 [size=\"85391360\", alpha=\"0.02\", expect_size=\"42695680\"] \n  15 -> 20 [size =\"42695680\"]\n  15 -> 23 [size =\"42695680\"]\n  16 [size=\"13111296\", alpha=\"0.19\", expect_size=\"6555648\"] \n  16 -> 18 [size =\"6555648\"]\n  16 -> 20 [size =\"6555648\"]\n  17 [size=\"47556608\", alpha=\"0.04\", expect_size=\"23778304\"] \n  17 -> 19 [size =\"23778304\"]\n  17 -> 20 [size =\"23778304\"]\n  17 -> 22 [size =\"23778304\"]\n  17 -> 23 [size =\"23778304\"]\n  18 [size=\"52764672\", alpha=\"0.11\", expect_size=\"26382336\"] \n  18 -> 28 [size =\"26382336\"]\n  19 [size=\"35856384\", alpha=\"0.05\", expect_size=\"17928192\"] \n  19 -> 26 [size =\"17928192\"]\n  20 [size=\"89389056\", alpha=\"0.00\", expect_size=\"44694528\"] \n  21 [size=\"41003008\", alpha=\"0.04\", expect_size=\"20501504\"] \n  21 -> 26 [size =\"20501504\"]\n  21 -> 27 [size =\"20501504\"]\n  22 [size=\"29134848\", alpha=\"0.09\", expect_size=\"14567424\"] \n  22 -> 24 [size =\"14567424\"]\n  22 -> 27 [size =\"14567424\"]\n  23 [size=\"16054272\", alpha=\"0.02\", expect_size=\"8027136\"] \n  23 -> 25 [size =\"8027136\"]\n  24 [size=\"24246272\", alpha=\"0.08\", expect_size=\"12123136\"] \n  24 -> 31 [size =\"12123136\"]\n  24 -> 33 [size =\"12123136\"]\n  25 [size=\"80560128\", alpha=\"0.06\", expect_size=\"40280064\"] \n  25 -> 29 [size =\"40280064\"]\n  26 [size=\"90093568\", alpha=\"0.19\", expect_size=\"45046784\"] \n  26 -> 31 [size =\"45046784\"]\n  27 [size=\"87568384\", alpha=\"0.18\", expect_size=\"43784192\"] \n  28 [size=\"13477888\", alpha=\"0.07\", expect_size=\"6738944\"] \n  28 -> 30 [size =\"6738944\"]\n  28 -> 32 [size =\"6738944\"]\n  29 [size=\"63731712\", alpha=\"0.18\", expect_size=\"31865856\"] \n  29 -> 35 [size =\"31865856\"]\n  29 -> 39 [size =\"31865856\"]\n  29 -> 39 [size =\"31865856\"]\n  30 [size=\"85112832\", alpha=\"0.12\", expect_size=\"42556416\"] \n  30 -> 35 [size =\"42556416\"]\n  30 -> 38 [size =\"42556416\"]\n  31 [size=\"85395456\", alpha=\"0.10\", expect_size=\"42697728\"] \n  31 -> 34 [size =\"42697728\"]\n  31 -> 35 [size =\"42697728\"]\n  31 -> 38 [size =\"42697728\"]\n  32 [size=\"104609792\", alpha=\"0.11\", expect_size=\"52304896\"] \n  32 -> 34 [size =\"52304896\"]\n  32 -> 36 [size =\"52304896\"]\n  32 -> 37 [size =\"52304896\"]\n  32 -> 38 [size =\"52304896\"]\n  33 [size=\"53108736\", alpha=\"0.06\", expect_size=\"26554368\"] \n  33 -> 37 [size =\"26554368\"]\n  33 -> 38 [size =\"26554368\"]\n  33 -> 39 [size =\"26554368\"]\n  34 [size=\"64540672\", alpha=\"0.05\", expect_size=\"32270336\"] \n  34 -> 40 [size =\"32270336\"]\n  35 [size=\"104318976\", alpha=\"0.00\", expect_size=\"52159488\"] \n  35 -> 40 [size =\"52159488\"]\n  36 [size=\"36526080\", alpha=\"0.16\", expect_size=\"18263040\"] \n  36 -> 40 [size =\"18263040\"]\n  37 [size=\"33343488\", alpha=\"0.19\", expect_size=\"16671744\"] \n  38 [size=\"23025664\", alpha=\"0.12\", expect_size=\"11512832\"] \n  38 -> 40 [size =\"11512832\"]\n  39 [size=\"56737792\", alpha=\"0.10\", expect_size=\"28368896\"] \n  39 -> 40 [size =\"28368896\"]\n  40 [size=\"46823424\", alpha=\"0.04\", expect_size=\"23411712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102184960\", alpha=\"0.03\", expect_size=\"51092480\"] \n  1 -> 17 [size =\"51092480\"]\n  1 -> 23 [size =\"51092480\"]\n  1 -> 27 [size =\"51092480\"]\n  1 -> 27 [size =\"51092480\"]\n  2 [size=\"66426880\", alpha=\"0.01\", expect_size=\"33213440\"] \n  2 -> 19 [size =\"33213440\"]\n  2 -> 20 [size =\"33213440\"]\n  2 -> 21 [size =\"33213440\"]\n  2 -> 22 [size =\"33213440\"]\n  2 -> 27 [size =\"33213440\"]\n  3 [size=\"61849600\", alpha=\"0.16\", expect_size=\"30924800\"] \n  3 -> 17 [size =\"30924800\"]\n  3 -> 18 [size =\"30924800\"]\n  3 -> 19 [size =\"30924800\"]\n  3 -> 21 [size =\"30924800\"]\n  3 -> 23 [size =\"30924800\"]\n  3 -> 24 [size =\"30924800\"]\n  4 [size=\"16584704\", alpha=\"0.13\", expect_size=\"8292352\"] \n  4 -> 18 [size =\"8292352\"]\n  4 -> 18 [size =\"8292352\"]\n  4 -> 19 [size =\"8292352\"]\n  4 -> 21 [size =\"8292352\"]\n  4 -> 24 [size =\"8292352\"]\n  4 -> 25 [size =\"8292352\"]\n  4 -> 27 [size =\"8292352\"]\n  5 [size=\"52752384\", alpha=\"0.08\", expect_size=\"26376192\"] \n  5 -> 22 [size =\"26376192\"]\n  5 -> 24 [size =\"26376192\"]\n  5 -> 27 [size =\"26376192\"]\n  6 [size=\"47233024\", alpha=\"0.02\", expect_size=\"23616512\"] \n  6 -> 19 [size =\"23616512\"]\n  6 -> 21 [size =\"23616512\"]\n  6 -> 23 [size =\"23616512\"]\n  6 -> 24 [size =\"23616512\"]\n  6 -> 25 [size =\"23616512\"]\n  6 -> 27 [size =\"23616512\"]\n  7 [size=\"71391232\", alpha=\"0.17\", expect_size=\"35695616\"] \n  7 -> 17 [size =\"35695616\"]\n  7 -> 19 [size =\"35695616\"]\n  7 -> 21 [size =\"35695616\"]\n  7 -> 22 [size =\"35695616\"]\n  7 -> 23 [size =\"35695616\"]\n  7 -> 24 [size =\"35695616\"]\n  7 -> 25 [size =\"35695616\"]\n  8 [size=\"88846336\", alpha=\"0.13\", expect_size=\"44423168\"] \n  8 -> 21 [size =\"44423168\"]\n  8 -> 23 [size =\"44423168\"]\n  8 -> 24 [size =\"44423168\"]\n  8 -> 27 [size =\"44423168\"]\n  9 [size=\"81102848\", alpha=\"0.01\", expect_size=\"40551424\"] \n  9 -> 19 [size =\"40551424\"]\n  9 -> 21 [size =\"40551424\"]\n  9 -> 23 [size =\"40551424\"]\n  9 -> 24 [size =\"40551424\"]\n  10 [size=\"79591424\", alpha=\"0.11\", expect_size=\"39795712\"] \n  10 -> 19 [size =\"39795712\"]\n  10 -> 21 [size =\"39795712\"]\n  10 -> 23 [size =\"39795712\"]\n  10 -> 24 [size =\"39795712\"]\n  10 -> 25 [size =\"39795712\"]\n  10 -> 26 [size =\"39795712\"]\n  10 -> 27 [size =\"39795712\"]\n  11 [size=\"69076992\", alpha=\"0.12\", expect_size=\"34538496\"] \n  11 -> 19 [size =\"34538496\"]\n  11 -> 21 [size =\"34538496\"]\n  11 -> 24 [size =\"34538496\"]\n  11 -> 24 [size =\"34538496\"]\n  11 -> 27 [size =\"34538496\"]\n  12 [size=\"82718720\", alpha=\"0.12\", expect_size=\"41359360\"] \n  12 -> 21 [size =\"41359360\"]\n  12 -> 24 [size =\"41359360\"]\n  12 -> 25 [size =\"41359360\"]\n  12 -> 27 [size =\"41359360\"]\n  12 -> 27 [size =\"41359360\"]\n  13 [size=\"88328192\", alpha=\"0.20\", expect_size=\"44164096\"] \n  13 -> 17 [size =\"44164096\"]\n  13 -> 19 [size =\"44164096\"]\n  13 -> 21 [size =\"44164096\"]\n  13 -> 24 [size =\"44164096\"]\n  13 -> 25 [size =\"44164096\"]\n  14 [size=\"68857856\", alpha=\"0.08\", expect_size=\"34428928\"] \n  14 -> 21 [size =\"34428928\"]\n  14 -> 23 [size =\"34428928\"]\n  14 -> 24 [size =\"34428928\"]\n  14 -> 26 [size =\"34428928\"]\n  14 -> 27 [size =\"34428928\"]\n  15 [size=\"35792896\", alpha=\"0.01\", expect_size=\"17896448\"] \n  15 -> 21 [size =\"17896448\"]\n  15 -> 23 [size =\"17896448\"]\n  15 -> 24 [size =\"17896448\"]\n  15 -> 27 [size =\"17896448\"]\n  15 -> 27 [size =\"17896448\"]\n  16 [size=\"73787392\", alpha=\"0.06\", expect_size=\"36893696\"] \n  16 -> 17 [size =\"36893696\"]\n  16 -> 21 [size =\"36893696\"]\n  16 -> 24 [size =\"36893696\"]\n  16 -> 27 [size =\"36893696\"]\n  17 [size=\"85170176\", alpha=\"0.17\", expect_size=\"42585088\"] \n  17 -> 28 [size =\"42585088\"]\n  17 -> 29 [size =\"42585088\"]\n  17 -> 32 [size =\"42585088\"]\n  17 -> 33 [size =\"42585088\"]\n  17 -> 35 [size =\"42585088\"]\n  17 -> 38 [size =\"42585088\"]\n  18 [size=\"70184960\", alpha=\"0.11\", expect_size=\"35092480\"] \n  18 -> 28 [size =\"35092480\"]\n  18 -> 29 [size =\"35092480\"]\n  18 -> 33 [size =\"35092480\"]\n  18 -> 33 [size =\"35092480\"]\n  18 -> 35 [size =\"35092480\"]\n  19 [size=\"36657152\", alpha=\"0.04\", expect_size=\"18328576\"] \n  19 -> 28 [size =\"18328576\"]\n  19 -> 29 [size =\"18328576\"]\n  19 -> 30 [size =\"18328576\"]\n  19 -> 32 [size =\"18328576\"]\n  19 -> 33 [size =\"18328576\"]\n  19 -> 38 [size =\"18328576\"]\n  20 [size=\"42741760\", alpha=\"0.05\", expect_size=\"21370880\"] \n  20 -> 28 [size =\"21370880\"]\n  20 -> 29 [size =\"21370880\"]\n  20 -> 31 [size =\"21370880\"]\n  20 -> 32 [size =\"21370880\"]\n  20 -> 33 [size =\"21370880\"]\n  20 -> 34 [size =\"21370880\"]\n  20 -> 35 [size =\"21370880\"]\n  20 -> 36 [size =\"21370880\"]\n  20 -> 37 [size =\"21370880\"]\n  20 -> 38 [size =\"21370880\"]\n  21 [size=\"94597120\", alpha=\"0.05\", expect_size=\"47298560\"] \n  21 -> 28 [size =\"47298560\"]\n  21 -> 29 [size =\"47298560\"]\n  21 -> 30 [size =\"47298560\"]\n  21 -> 32 [size =\"47298560\"]\n  21 -> 33 [size =\"47298560\"]\n  21 -> 36 [size =\"47298560\"]\n  21 -> 38 [size =\"47298560\"]\n  22 [size=\"54708224\", alpha=\"0.18\", expect_size=\"27354112\"] \n  22 -> 28 [size =\"27354112\"]\n  22 -> 30 [size =\"27354112\"]\n  22 -> 32 [size =\"27354112\"]\n  22 -> 33 [size =\"27354112\"]\n  22 -> 36 [size =\"27354112\"]\n  22 -> 37 [size =\"27354112\"]\n  22 -> 38 [size =\"27354112\"]\n  23 [size=\"18573312\", alpha=\"0.00\", expect_size=\"9286656\"] \n  23 -> 31 [size =\"9286656\"]\n  23 -> 32 [size =\"9286656\"]\n  23 -> 33 [size =\"9286656\"]\n  23 -> 35 [size =\"9286656\"]\n  23 -> 36 [size =\"9286656\"]\n  23 -> 38 [size =\"9286656\"]\n  23 -> 38 [size =\"9286656\"]\n  24 [size=\"18235392\", alpha=\"0.05\", expect_size=\"9117696\"] \n  24 -> 29 [size =\"9117696\"]\n  24 -> 36 [size =\"9117696\"]\n  24 -> 38 [size =\"9117696\"]\n  25 [size=\"56195072\", alpha=\"0.18\", expect_size=\"28097536\"] \n  25 -> 29 [size =\"28097536\"]\n  25 -> 30 [size =\"28097536\"]\n  25 -> 34 [size =\"28097536\"]\n  25 -> 35 [size =\"28097536\"]\n  25 -> 36 [size =\"28097536\"]\n  25 -> 37 [size =\"28097536\"]\n  25 -> 39 [size =\"28097536\"]\n  26 [size=\"62971904\", alpha=\"0.19\", expect_size=\"31485952\"] \n  26 -> 28 [size =\"31485952\"]\n  26 -> 29 [size =\"31485952\"]\n  26 -> 33 [size =\"31485952\"]\n  26 -> 36 [size =\"31485952\"]\n  26 -> 38 [size =\"31485952\"]\n  27 [size=\"89876480\", alpha=\"0.13\", expect_size=\"44938240\"] \n  27 -> 28 [size =\"44938240\"]\n  27 -> 29 [size =\"44938240\"]\n  27 -> 30 [size =\"44938240\"]\n  27 -> 31 [size =\"44938240\"]\n  27 -> 32 [size =\"44938240\"]\n  27 -> 33 [size =\"44938240\"]\n  27 -> 35 [size =\"44938240\"]\n  27 -> 36 [size =\"44938240\"]\n  27 -> 38 [size =\"44938240\"]\n  28 [size=\"76859392\", alpha=\"0.04\", expect_size=\"38429696\"] \n  28 -> 40 [size =\"38429696\"]\n  29 [size=\"32813056\", alpha=\"0.09\", expect_size=\"16406528\"] \n  29 -> 40 [size =\"16406528\"]\n  30 [size=\"53270528\", alpha=\"0.09\", expect_size=\"26635264\"] \n  30 -> 40 [size =\"26635264\"]\n  31 [size=\"77576192\", alpha=\"0.02\", expect_size=\"38788096\"] \n  31 -> 40 [size =\"38788096\"]\n  32 [size=\"103057408\", alpha=\"0.10\", expect_size=\"51528704\"] \n  32 -> 40 [size =\"51528704\"]\n  33 [size=\"91283456\", alpha=\"0.14\", expect_size=\"45641728\"] \n  34 [size=\"93618176\", alpha=\"0.11\", expect_size=\"46809088\"] \n  34 -> 40 [size =\"46809088\"]\n  35 [size=\"21788672\", alpha=\"0.13\", expect_size=\"10894336\"] \n  35 -> 40 [size =\"10894336\"]\n  36 [size=\"12433408\", alpha=\"0.08\", expect_size=\"6216704\"] \n  36 -> 40 [size =\"6216704\"]\n  37 [size=\"102301696\", alpha=\"0.20\", expect_size=\"51150848\"] \n  37 -> 40 [size =\"51150848\"]\n  38 [size=\"69185536\", alpha=\"0.04\", expect_size=\"34592768\"] \n  38 -> 40 [size =\"34592768\"]\n  39 [size=\"85815296\", alpha=\"0.13\", expect_size=\"42907648\"] \n  39 -> 40 [size =\"42907648\"]\n  40 [size=\"34066432\", alpha=\"0.10\", expect_size=\"17033216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136151040\", alpha=\"0.04\", expect_size=\"40845312\"] \n  1 -> 2 [size =\"40845312\"]\n  2 [size=\"151323307\", alpha=\"0.02\", expect_size=\"45396992\"] \n  2 -> 3 [size =\"45396992\"]\n  3 [size=\"162239147\", alpha=\"0.16\", expect_size=\"48671744\"] \n  3 -> 4 [size =\"48671744\"]\n  4 [size=\"129211733\", alpha=\"0.13\", expect_size=\"38763520\"] \n  4 -> 5 [size =\"38763520\"]\n  5 [size=\"86852267\", alpha=\"0.10\", expect_size=\"26055680\"] \n  5 -> 6 [size =\"26055680\"]\n  6 [size=\"134468267\", alpha=\"0.02\", expect_size=\"40340480\"] \n  6 -> 7 [size =\"40340480\"]\n  7 [size=\"61945173\", alpha=\"0.08\", expect_size=\"18583552\"] \n  7 -> 8 [size =\"18583552\"]\n  8 [size=\"30607360\", alpha=\"0.08\", expect_size=\"9182208\"] \n  8 -> 9 [size =\"9182208\"]\n  9 [size=\"170936320\", alpha=\"0.15\", expect_size=\"51280896\"] \n  9 -> 10 [size =\"51280896\"]\n  10 [size=\"70754987\", alpha=\"0.15\", expect_size=\"21226496\"] \n  10 -> 11 [size =\"21226496\"]\n  11 [size=\"73171627\", alpha=\"0.07\", expect_size=\"21951488\"] \n  11 -> 12 [size =\"21951488\"]\n  12 [size=\"107816960\", alpha=\"0.02\", expect_size=\"32345088\"] \n  12 -> 13 [size =\"32345088\"]\n  13 [size=\"125317120\", alpha=\"0.03\", expect_size=\"37595136\"] \n  13 -> 14 [size =\"37595136\"]\n  14 [size=\"95675733\", alpha=\"0.18\", expect_size=\"28702720\"] \n  14 -> 15 [size =\"28702720\"]\n  15 [size=\"44066133\", alpha=\"0.14\", expect_size=\"13219840\"] \n  15 -> 16 [size =\"13219840\"]\n  16 [size=\"121681920\", alpha=\"0.07\", expect_size=\"36504576\"] \n  16 -> 17 [size =\"36504576\"]\n  17 [size=\"135301120\", alpha=\"0.07\", expect_size=\"40590336\"] \n  17 -> 18 [size =\"40590336\"]\n  18 [size=\"40939520\", alpha=\"0.11\", expect_size=\"12281856\"] \n  18 -> 19 [size =\"12281856\"]\n  19 [size=\"103335253\", alpha=\"0.07\", expect_size=\"31000576\"] \n  19 -> 20 [size =\"31000576\"]\n  20 [size=\"61282987\", alpha=\"0.04\", expect_size=\"18384896\"] \n  20 -> 21 [size =\"18384896\"]\n  21 [size=\"22080853\", alpha=\"0.16\", expect_size=\"6624256\"] \n  21 -> 22 [size =\"6624256\"]\n  22 [size=\"74178560\", alpha=\"0.05\", expect_size=\"22253568\"] \n  22 -> 23 [size =\"22253568\"]\n  23 [size=\"86555307\", alpha=\"0.13\", expect_size=\"25966592\"] \n  23 -> 24 [size =\"25966592\"]\n  24 [size=\"107915947\", alpha=\"0.15\", expect_size=\"32374784\"] \n  24 -> 25 [size =\"32374784\"]\n  25 [size=\"92856320\", alpha=\"0.05\", expect_size=\"27856896\"] \n  25 -> 26 [size =\"27856896\"]\n  26 [size=\"49070080\", alpha=\"0.10\", expect_size=\"14721024\"] \n  26 -> 27 [size =\"14721024\"]\n  27 [size=\"100263253\", alpha=\"0.02\", expect_size=\"30078976\"] \n  27 -> 28 [size =\"30078976\"]\n  28 [size=\"156873387\", alpha=\"0.14\", expect_size=\"47062016\"] \n  28 -> 29 [size =\"47062016\"]\n  29 [size=\"82203307\", alpha=\"0.07\", expect_size=\"24660992\"] \n  29 -> 30 [size =\"24660992\"]\n  30 [size=\"137256960\", alpha=\"0.06\", expect_size=\"41177088\"] \n  30 -> 31 [size =\"41177088\"]\n  31 [size=\"168806400\", alpha=\"0.12\", expect_size=\"50641920\"] \n  31 -> 32 [size =\"50641920\"]\n  32 [size=\"138243413\", alpha=\"0.09\", expect_size=\"41473024\"] \n  32 -> 33 [size =\"41473024\"]\n  33 [size=\"22128640\", alpha=\"0.01\", expect_size=\"6638592\"] \n  33 -> 34 [size =\"6638592\"]\n  34 [size=\"122514773\", alpha=\"0.02\", expect_size=\"36754432\"] \n  34 -> 35 [size =\"36754432\"]\n  35 [size=\"79281493\", alpha=\"0.07\", expect_size=\"23784448\"] \n  35 -> 36 [size =\"23784448\"]\n  36 [size=\"119094613\", alpha=\"0.05\", expect_size=\"35728384\"] \n  36 -> 37 [size =\"35728384\"]\n  37 [size=\"44369920\", alpha=\"0.17\", expect_size=\"13310976\"] \n  37 -> 38 [size =\"13310976\"]\n  38 [size=\"56862720\", alpha=\"0.13\", expect_size=\"17058816\"] \n  38 -> 39 [size =\"17058816\"]\n  39 [size=\"169714347\", alpha=\"0.00\", expect_size=\"50914304\"] \n  39 -> 40 [size =\"50914304\"]\n  40 [size=\"64525653\", alpha=\"0.13\", expect_size=\"19357696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129561600\", alpha=\"0.14\", expect_size=\"51824640\"] \n  1 -> 5 [size =\"51824640\"]\n  1 -> 7 [size =\"51824640\"]\n  2 [size=\"33679360\", alpha=\"0.10\", expect_size=\"13471744\"] \n  2 -> 6 [size =\"13471744\"]\n  2 -> 7 [size =\"13471744\"]\n  3 [size=\"52776960\", alpha=\"0.01\", expect_size=\"21110784\"] \n  3 -> 6 [size =\"21110784\"]\n  4 [size=\"102530560\", alpha=\"0.00\", expect_size=\"41012224\"] \n  5 [size=\"122191360\", alpha=\"0.09\", expect_size=\"48876544\"] \n  5 -> 8 [size =\"48876544\"]\n  5 -> 9 [size =\"48876544\"]\n  6 [size=\"16166400\", alpha=\"0.19\", expect_size=\"6466560\"] \n  6 -> 8 [size =\"6466560\"]\n  6 -> 9 [size =\"6466560\"]\n  6 -> 10 [size =\"6466560\"]\n  7 [size=\"98109440\", alpha=\"0.13\", expect_size=\"39243776\"] \n  8 [size=\"28508160\", alpha=\"0.18\", expect_size=\"11403264\"] \n  8 -> 11 [size =\"11403264\"]\n  8 -> 12 [size =\"11403264\"]\n  9 [size=\"118192640\", alpha=\"0.00\", expect_size=\"47277056\"] \n  9 -> 13 [size =\"47277056\"]\n  10 [size=\"121159680\", alpha=\"0.15\", expect_size=\"48463872\"] \n  10 -> 11 [size =\"48463872\"]\n  10 -> 12 [size =\"48463872\"]\n  11 [size=\"105838080\", alpha=\"0.19\", expect_size=\"42335232\"] \n  11 -> 14 [size =\"42335232\"]\n  12 [size=\"73287680\", alpha=\"0.10\", expect_size=\"29315072\"] \n  12 -> 14 [size =\"29315072\"]\n  12 -> 15 [size =\"29315072\"]\n  12 -> 16 [size =\"29315072\"]\n  13 [size=\"14261760\", alpha=\"0.09\", expect_size=\"5704704\"] \n  13 -> 16 [size =\"5704704\"]\n  14 [size=\"21071360\", alpha=\"0.14\", expect_size=\"8428544\"] \n  14 -> 17 [size =\"8428544\"]\n  14 -> 18 [size =\"8428544\"]\n  15 [size=\"21754880\", alpha=\"0.06\", expect_size=\"8701952\"] \n  16 [size=\"72901120\", alpha=\"0.17\", expect_size=\"29160448\"] \n  16 -> 17 [size =\"29160448\"]\n  16 -> 18 [size =\"29160448\"]\n  17 [size=\"66073600\", alpha=\"0.01\", expect_size=\"26429440\"] \n  17 -> 19 [size =\"26429440\"]\n  17 -> 20 [size =\"26429440\"]\n  18 [size=\"24645120\", alpha=\"0.16\", expect_size=\"9858048\"] \n  18 -> 19 [size =\"9858048\"]\n  18 -> 21 [size =\"9858048\"]\n  19 [size=\"15252480\", alpha=\"0.10\", expect_size=\"6100992\"] \n  19 -> 22 [size =\"6100992\"]\n  20 [size=\"15380480\", alpha=\"0.12\", expect_size=\"6152192\"] \n  20 -> 22 [size =\"6152192\"]\n  21 [size=\"106355200\", alpha=\"0.13\", expect_size=\"42542080\"] \n  21 -> 23 [size =\"42542080\"]\n  22 [size=\"99722240\", alpha=\"0.18\", expect_size=\"39888896\"] \n  22 -> 24 [size =\"39888896\"]\n  22 -> 26 [size =\"39888896\"]\n  23 [size=\"38220800\", alpha=\"0.10\", expect_size=\"15288320\"] \n  23 -> 24 [size =\"15288320\"]\n  23 -> 25 [size =\"15288320\"]\n  24 [size=\"89331200\", alpha=\"0.17\", expect_size=\"35732480\"] \n  24 -> 27 [size =\"35732480\"]\n  24 -> 28 [size =\"35732480\"]\n  25 [size=\"51422720\", alpha=\"0.02\", expect_size=\"20569088\"] \n  25 -> 27 [size =\"20569088\"]\n  25 -> 28 [size =\"20569088\"]\n  25 -> 29 [size =\"20569088\"]\n  25 -> 30 [size =\"20569088\"]\n  26 [size=\"86179840\", alpha=\"0.08\", expect_size=\"34471936\"] \n  26 -> 30 [size =\"34471936\"]\n  27 [size=\"65861120\", alpha=\"0.08\", expect_size=\"26344448\"] \n  27 -> 31 [size =\"26344448\"]\n  28 [size=\"69335040\", alpha=\"0.11\", expect_size=\"27734016\"] \n  29 [size=\"48015360\", alpha=\"0.12\", expect_size=\"19206144\"] \n  30 [size=\"107768320\", alpha=\"0.11\", expect_size=\"43107328\"] \n  31 [size=\"59632640\", alpha=\"0.05\", expect_size=\"23853056\"] \n  31 -> 32 [size =\"23853056\"]\n  32 [size=\"20060160\", alpha=\"0.10\", expect_size=\"8024064\"] \n  32 -> 33 [size =\"8024064\"]\n  32 -> 34 [size =\"8024064\"]\n  33 [size=\"127587840\", alpha=\"0.15\", expect_size=\"51035136\"] \n  33 -> 35 [size =\"51035136\"]\n  33 -> 37 [size =\"51035136\"]\n  34 [size=\"67996160\", alpha=\"0.02\", expect_size=\"27198464\"] \n  34 -> 36 [size =\"27198464\"]\n  35 [size=\"48670720\", alpha=\"0.10\", expect_size=\"19468288\"] \n  35 -> 38 [size =\"19468288\"]\n  35 -> 40 [size =\"19468288\"]\n  36 [size=\"60733440\", alpha=\"0.08\", expect_size=\"24293376\"] \n  36 -> 38 [size =\"24293376\"]\n  36 -> 39 [size =\"24293376\"]\n  37 [size=\"107248640\", alpha=\"0.15\", expect_size=\"42899456\"] \n  38 [size=\"37283840\", alpha=\"0.04\", expect_size=\"14913536\"] \n  39 [size=\"102174720\", alpha=\"0.13\", expect_size=\"40869888\"] \n  40 [size=\"53112320\", alpha=\"0.03\", expect_size=\"21244928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69502976\", alpha=\"0.13\", expect_size=\"34751488\"] \n  1 -> 2 [size =\"34751488\"]\n  2 [size=\"88522752\", alpha=\"0.10\", expect_size=\"44261376\"] \n  2 -> 3 [size =\"44261376\"]\n  3 [size=\"79775744\", alpha=\"0.05\", expect_size=\"39887872\"] \n  3 -> 4 [size =\"39887872\"]\n  4 [size=\"85598208\", alpha=\"0.17\", expect_size=\"42799104\"] \n  4 -> 5 [size =\"42799104\"]\n  5 [size=\"33275904\", alpha=\"0.03\", expect_size=\"16637952\"] \n  5 -> 6 [size =\"16637952\"]\n  6 [size=\"101025792\", alpha=\"0.12\", expect_size=\"50512896\"] \n  6 -> 7 [size =\"50512896\"]\n  7 [size=\"36487168\", alpha=\"0.03\", expect_size=\"18243584\"] \n  7 -> 8 [size =\"18243584\"]\n  8 [size=\"60829696\", alpha=\"0.11\", expect_size=\"30414848\"] \n  8 -> 9 [size =\"30414848\"]\n  9 [size=\"19040256\", alpha=\"0.10\", expect_size=\"9520128\"] \n  9 -> 10 [size =\"9520128\"]\n  10 [size=\"104726528\", alpha=\"0.07\", expect_size=\"52363264\"] \n  10 -> 11 [size =\"52363264\"]\n  11 [size=\"36601856\", alpha=\"0.05\", expect_size=\"18300928\"] \n  11 -> 12 [size =\"18300928\"]\n  12 [size=\"95649792\", alpha=\"0.11\", expect_size=\"47824896\"] \n  12 -> 13 [size =\"47824896\"]\n  13 [size=\"46325760\", alpha=\"0.18\", expect_size=\"23162880\"] \n  13 -> 14 [size =\"23162880\"]\n  14 [size=\"67833856\", alpha=\"0.12\", expect_size=\"33916928\"] \n  14 -> 15 [size =\"33916928\"]\n  15 [size=\"55558144\", alpha=\"0.13\", expect_size=\"27779072\"] \n  15 -> 16 [size =\"27779072\"]\n  16 [size=\"71325696\", alpha=\"0.08\", expect_size=\"35662848\"] \n  16 -> 17 [size =\"35662848\"]\n  17 [size=\"32559104\", alpha=\"0.09\", expect_size=\"16279552\"] \n  17 -> 18 [size =\"16279552\"]\n  18 [size=\"46413824\", alpha=\"0.20\", expect_size=\"23206912\"] \n  18 -> 19 [size =\"23206912\"]\n  19 [size=\"97249280\", alpha=\"0.15\", expect_size=\"48624640\"] \n  19 -> 20 [size =\"48624640\"]\n  20 [size=\"50522112\", alpha=\"0.01\", expect_size=\"25261056\"] \n  20 -> 21 [size =\"25261056\"]\n  21 [size=\"81885184\", alpha=\"0.19\", expect_size=\"40942592\"] \n  21 -> 22 [size =\"40942592\"]\n  22 [size=\"11974656\", alpha=\"0.14\", expect_size=\"5987328\"] \n  22 -> 23 [size =\"5987328\"]\n  23 [size=\"64792576\", alpha=\"0.04\", expect_size=\"32396288\"] \n  23 -> 24 [size =\"32396288\"]\n  24 [size=\"54984704\", alpha=\"0.10\", expect_size=\"27492352\"] \n  24 -> 25 [size =\"27492352\"]\n  25 [size=\"16433152\", alpha=\"0.01\", expect_size=\"8216576\"] \n  25 -> 26 [size =\"8216576\"]\n  26 [size=\"77590528\", alpha=\"0.11\", expect_size=\"38795264\"] \n  26 -> 27 [size =\"38795264\"]\n  27 [size=\"21899264\", alpha=\"0.06\", expect_size=\"10949632\"] \n  27 -> 28 [size =\"10949632\"]\n  28 [size=\"66695168\", alpha=\"0.12\", expect_size=\"33347584\"] \n  28 -> 29 [size =\"33347584\"]\n  29 [size=\"64509952\", alpha=\"0.20\", expect_size=\"32254976\"] \n  29 -> 30 [size =\"32254976\"]\n  30 [size=\"38643712\", alpha=\"0.07\", expect_size=\"19321856\"] \n  30 -> 31 [size =\"19321856\"]\n  31 [size=\"41732096\", alpha=\"0.01\", expect_size=\"20866048\"] \n  31 -> 32 [size =\"20866048\"]\n  32 [size=\"38422528\", alpha=\"0.12\", expect_size=\"19211264\"] \n  32 -> 33 [size =\"19211264\"]\n  33 [size=\"12378112\", alpha=\"0.11\", expect_size=\"6189056\"] \n  33 -> 34 [size =\"6189056\"]\n  34 [size=\"32894976\", alpha=\"0.02\", expect_size=\"16447488\"] \n  34 -> 35 [size =\"16447488\"]\n  35 [size=\"80711680\", alpha=\"0.03\", expect_size=\"40355840\"] \n  35 -> 36 [size =\"40355840\"]\n  36 [size=\"84250624\", alpha=\"0.16\", expect_size=\"42125312\"] \n  36 -> 37 [size =\"42125312\"]\n  37 [size=\"39677952\", alpha=\"0.15\", expect_size=\"19838976\"] \n  37 -> 38 [size =\"19838976\"]\n  38 [size=\"67368960\", alpha=\"0.00\", expect_size=\"33684480\"] \n  38 -> 39 [size =\"33684480\"]\n  39 [size=\"28923904\", alpha=\"0.05\", expect_size=\"14461952\"] \n  39 -> 40 [size =\"14461952\"]\n  40 [size=\"27271168\", alpha=\"0.17\", expect_size=\"13635584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88463360\", alpha=\"0.06\", expect_size=\"26539008\"] \n  1 -> 17 [size =\"26539008\"]\n  1 -> 17 [size =\"26539008\"]\n  1 -> 19 [size =\"26539008\"]\n  1 -> 20 [size =\"26539008\"]\n  1 -> 20 [size =\"26539008\"]\n  1 -> 22 [size =\"26539008\"]\n  1 -> 23 [size =\"26539008\"]\n  1 -> 26 [size =\"26539008\"]\n  1 -> 27 [size =\"26539008\"]\n  1 -> 28 [size =\"26539008\"]\n  2 [size=\"101604693\", alpha=\"0.20\", expect_size=\"30481408\"] \n  2 -> 16 [size =\"30481408\"]\n  2 -> 19 [size =\"30481408\"]\n  2 -> 20 [size =\"30481408\"]\n  2 -> 20 [size =\"30481408\"]\n  2 -> 22 [size =\"30481408\"]\n  2 -> 22 [size =\"30481408\"]\n  2 -> 27 [size =\"30481408\"]\n  2 -> 29 [size =\"30481408\"]\n  3 [size=\"133761707\", alpha=\"0.14\", expect_size=\"40128512\"] \n  3 -> 16 [size =\"40128512\"]\n  3 -> 18 [size =\"40128512\"]\n  3 -> 20 [size =\"40128512\"]\n  3 -> 21 [size =\"40128512\"]\n  3 -> 22 [size =\"40128512\"]\n  3 -> 23 [size =\"40128512\"]\n  3 -> 24 [size =\"40128512\"]\n  3 -> 25 [size =\"40128512\"]\n  3 -> 28 [size =\"40128512\"]\n  3 -> 29 [size =\"40128512\"]\n  4 [size=\"97235627\", alpha=\"0.17\", expect_size=\"29170688\"] \n  4 -> 18 [size =\"29170688\"]\n  4 -> 20 [size =\"29170688\"]\n  4 -> 23 [size =\"29170688\"]\n  4 -> 25 [size =\"29170688\"]\n  4 -> 29 [size =\"29170688\"]\n  5 [size=\"69413547\", alpha=\"0.16\", expect_size=\"20824064\"] \n  5 -> 16 [size =\"20824064\"]\n  5 -> 17 [size =\"20824064\"]\n  5 -> 18 [size =\"20824064\"]\n  5 -> 23 [size =\"20824064\"]\n  5 -> 24 [size =\"20824064\"]\n  5 -> 25 [size =\"20824064\"]\n  5 -> 26 [size =\"20824064\"]\n  5 -> 28 [size =\"20824064\"]\n  5 -> 29 [size =\"20824064\"]\n  6 [size=\"167335253\", alpha=\"0.06\", expect_size=\"50200576\"] \n  6 -> 16 [size =\"50200576\"]\n  6 -> 18 [size =\"50200576\"]\n  6 -> 22 [size =\"50200576\"]\n  6 -> 23 [size =\"50200576\"]\n  6 -> 25 [size =\"50200576\"]\n  6 -> 26 [size =\"50200576\"]\n  6 -> 27 [size =\"50200576\"]\n  7 [size=\"105547093\", alpha=\"0.01\", expect_size=\"31664128\"] \n  7 -> 16 [size =\"31664128\"]\n  7 -> 18 [size =\"31664128\"]\n  7 -> 22 [size =\"31664128\"]\n  7 -> 25 [size =\"31664128\"]\n  7 -> 28 [size =\"31664128\"]\n  8 [size=\"125156693\", alpha=\"0.07\", expect_size=\"37547008\"] \n  8 -> 16 [size =\"37547008\"]\n  8 -> 17 [size =\"37547008\"]\n  8 -> 18 [size =\"37547008\"]\n  8 -> 22 [size =\"37547008\"]\n  8 -> 23 [size =\"37547008\"]\n  8 -> 25 [size =\"37547008\"]\n  8 -> 27 [size =\"37547008\"]\n  9 [size=\"130194773\", alpha=\"0.14\", expect_size=\"39058432\"] \n  9 -> 16 [size =\"39058432\"]\n  9 -> 17 [size =\"39058432\"]\n  9 -> 18 [size =\"39058432\"]\n  9 -> 22 [size =\"39058432\"]\n  9 -> 27 [size =\"39058432\"]\n  10 [size=\"96440320\", alpha=\"0.07\", expect_size=\"28932096\"] \n  10 -> 16 [size =\"28932096\"]\n  10 -> 17 [size =\"28932096\"]\n  10 -> 18 [size =\"28932096\"]\n  10 -> 22 [size =\"28932096\"]\n  10 -> 23 [size =\"28932096\"]\n  10 -> 25 [size =\"28932096\"]\n  10 -> 28 [size =\"28932096\"]\n  11 [size=\"160563200\", alpha=\"0.06\", expect_size=\"48168960\"] \n  11 -> 16 [size =\"48168960\"]\n  11 -> 17 [size =\"48168960\"]\n  11 -> 18 [size =\"48168960\"]\n  11 -> 20 [size =\"48168960\"]\n  11 -> 23 [size =\"48168960\"]\n  11 -> 26 [size =\"48168960\"]\n  11 -> 27 [size =\"48168960\"]\n  11 -> 28 [size =\"48168960\"]\n  11 -> 29 [size =\"48168960\"]\n  12 [size=\"49882453\", alpha=\"0.15\", expect_size=\"14964736\"] \n  12 -> 16 [size =\"14964736\"]\n  12 -> 17 [size =\"14964736\"]\n  12 -> 18 [size =\"14964736\"]\n  12 -> 22 [size =\"14964736\"]\n  12 -> 23 [size =\"14964736\"]\n  12 -> 25 [size =\"14964736\"]\n  12 -> 27 [size =\"14964736\"]\n  12 -> 29 [size =\"14964736\"]\n  13 [size=\"47684267\", alpha=\"0.08\", expect_size=\"14305280\"] \n  13 -> 16 [size =\"14305280\"]\n  13 -> 17 [size =\"14305280\"]\n  13 -> 19 [size =\"14305280\"]\n  13 -> 22 [size =\"14305280\"]\n  13 -> 23 [size =\"14305280\"]\n  13 -> 25 [size =\"14305280\"]\n  13 -> 26 [size =\"14305280\"]\n  13 -> 28 [size =\"14305280\"]\n  14 [size=\"154231467\", alpha=\"0.18\", expect_size=\"46269440\"] \n  14 -> 16 [size =\"46269440\"]\n  14 -> 17 [size =\"46269440\"]\n  14 -> 19 [size =\"46269440\"]\n  14 -> 20 [size =\"46269440\"]\n  14 -> 22 [size =\"46269440\"]\n  14 -> 25 [size =\"46269440\"]\n  14 -> 27 [size =\"46269440\"]\n  14 -> 28 [size =\"46269440\"]\n  14 -> 29 [size =\"46269440\"]\n  15 [size=\"129426773\", alpha=\"0.06\", expect_size=\"38828032\"] \n  15 -> 16 [size =\"38828032\"]\n  15 -> 17 [size =\"38828032\"]\n  15 -> 18 [size =\"38828032\"]\n  15 -> 19 [size =\"38828032\"]\n  15 -> 20 [size =\"38828032\"]\n  15 -> 22 [size =\"38828032\"]\n  15 -> 23 [size =\"38828032\"]\n  15 -> 27 [size =\"38828032\"]\n  15 -> 28 [size =\"38828032\"]\n  15 -> 29 [size =\"38828032\"]\n  16 [size=\"96116053\", alpha=\"0.09\", expect_size=\"28834816\"] \n  16 -> 30 [size =\"28834816\"]\n  16 -> 34 [size =\"28834816\"]\n  16 -> 37 [size =\"28834816\"]\n  16 -> 40 [size =\"28834816\"]\n  17 [size=\"142950400\", alpha=\"0.15\", expect_size=\"42885120\"] \n  17 -> 35 [size =\"42885120\"]\n  17 -> 37 [size =\"42885120\"]\n  17 -> 37 [size =\"42885120\"]\n  17 -> 40 [size =\"42885120\"]\n  18 [size=\"151251627\", alpha=\"0.18\", expect_size=\"45375488\"] \n  18 -> 37 [size =\"45375488\"]\n  18 -> 40 [size =\"45375488\"]\n  19 [size=\"50223787\", alpha=\"0.18\", expect_size=\"15067136\"] \n  19 -> 30 [size =\"15067136\"]\n  19 -> 33 [size =\"15067136\"]\n  19 -> 36 [size =\"15067136\"]\n  19 -> 37 [size =\"15067136\"]\n  19 -> 38 [size =\"15067136\"]\n  20 [size=\"161020587\", alpha=\"0.16\", expect_size=\"48306176\"] \n  20 -> 36 [size =\"48306176\"]\n  20 -> 37 [size =\"48306176\"]\n  21 [size=\"61682347\", alpha=\"0.02\", expect_size=\"18504704\"] \n  21 -> 31 [size =\"18504704\"]\n  21 -> 32 [size =\"18504704\"]\n  21 -> 34 [size =\"18504704\"]\n  21 -> 36 [size =\"18504704\"]\n  21 -> 37 [size =\"18504704\"]\n  21 -> 39 [size =\"18504704\"]\n  22 [size=\"111213227\", alpha=\"0.18\", expect_size=\"33363968\"] \n  22 -> 30 [size =\"33363968\"]\n  22 -> 33 [size =\"33363968\"]\n  22 -> 34 [size =\"33363968\"]\n  22 -> 36 [size =\"33363968\"]\n  22 -> 37 [size =\"33363968\"]\n  22 -> 40 [size =\"33363968\"]\n  23 [size=\"75185493\", alpha=\"0.10\", expect_size=\"22555648\"] \n  23 -> 30 [size =\"22555648\"]\n  23 -> 33 [size =\"22555648\"]\n  23 -> 34 [size =\"22555648\"]\n  23 -> 36 [size =\"22555648\"]\n  23 -> 37 [size =\"22555648\"]\n  23 -> 39 [size =\"22555648\"]\n  23 -> 40 [size =\"22555648\"]\n  24 [size=\"137256960\", alpha=\"0.12\", expect_size=\"41177088\"] \n  24 -> 30 [size =\"41177088\"]\n  24 -> 31 [size =\"41177088\"]\n  24 -> 34 [size =\"41177088\"]\n  24 -> 35 [size =\"41177088\"]\n  24 -> 38 [size =\"41177088\"]\n  24 -> 40 [size =\"41177088\"]\n  25 [size=\"118046720\", alpha=\"0.20\", expect_size=\"35414016\"] \n  25 -> 31 [size =\"35414016\"]\n  25 -> 33 [size =\"35414016\"]\n  25 -> 35 [size =\"35414016\"]\n  25 -> 38 [size =\"35414016\"]\n  25 -> 40 [size =\"35414016\"]\n  26 [size=\"162703360\", alpha=\"0.07\", expect_size=\"48811008\"] \n  26 -> 30 [size =\"48811008\"]\n  26 -> 35 [size =\"48811008\"]\n  26 -> 35 [size =\"48811008\"]\n  26 -> 40 [size =\"48811008\"]\n  26 -> 40 [size =\"48811008\"]\n  27 [size=\"80035840\", alpha=\"0.06\", expect_size=\"24010752\"] \n  27 -> 30 [size =\"24010752\"]\n  27 -> 31 [size =\"24010752\"]\n  27 -> 33 [size =\"24010752\"]\n  27 -> 36 [size =\"24010752\"]\n  27 -> 37 [size =\"24010752\"]\n  28 [size=\"40710827\", alpha=\"0.18\", expect_size=\"12213248\"] \n  28 -> 30 [size =\"12213248\"]\n  28 -> 31 [size =\"12213248\"]\n  28 -> 33 [size =\"12213248\"]\n  28 -> 34 [size =\"12213248\"]\n  28 -> 36 [size =\"12213248\"]\n  28 -> 37 [size =\"12213248\"]\n  28 -> 40 [size =\"12213248\"]\n  29 [size=\"28736853\", alpha=\"0.05\", expect_size=\"8621056\"] \n  29 -> 30 [size =\"8621056\"]\n  29 -> 31 [size =\"8621056\"]\n  29 -> 34 [size =\"8621056\"]\n  29 -> 36 [size =\"8621056\"]\n  29 -> 37 [size =\"8621056\"]\n  29 -> 37 [size =\"8621056\"]\n  30 [size=\"173933227\", alpha=\"0.01\", expect_size=\"52179968\"] \n  31 [size=\"138543787\", alpha=\"0.16\", expect_size=\"41563136\"] \n  32 [size=\"150848853\", alpha=\"0.15\", expect_size=\"45254656\"] \n  33 [size=\"137690453\", alpha=\"0.18\", expect_size=\"41307136\"] \n  34 [size=\"58074453\", alpha=\"0.18\", expect_size=\"17422336\"] \n  35 [size=\"149046613\", alpha=\"0.12\", expect_size=\"44713984\"] \n  36 [size=\"147968000\", alpha=\"0.17\", expect_size=\"44390400\"] \n  37 [size=\"47421440\", alpha=\"0.17\", expect_size=\"14226432\"] \n  38 [size=\"92757333\", alpha=\"0.14\", expect_size=\"27827200\"] \n  39 [size=\"77090133\", alpha=\"0.16\", expect_size=\"23127040\"] \n  40 [size=\"113138347\", alpha=\"0.16\", expect_size=\"33941504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73282560\", alpha=\"0.06\", expect_size=\"29313024\"] \n  1 -> 27 [size =\"29313024\"]\n  1 -> 28 [size =\"29313024\"]\n  1 -> 30 [size =\"29313024\"]\n  1 -> 31 [size =\"29313024\"]\n  1 -> 32 [size =\"29313024\"]\n  1 -> 33 [size =\"29313024\"]\n  1 -> 35 [size =\"29313024\"]\n  1 -> 40 [size =\"29313024\"]\n  2 [size=\"99758080\", alpha=\"0.11\", expect_size=\"39903232\"] \n  2 -> 25 [size =\"39903232\"]\n  2 -> 28 [size =\"39903232\"]\n  2 -> 31 [size =\"39903232\"]\n  2 -> 32 [size =\"39903232\"]\n  2 -> 35 [size =\"39903232\"]\n  2 -> 37 [size =\"39903232\"]\n  2 -> 38 [size =\"39903232\"]\n  2 -> 39 [size =\"39903232\"]\n  3 [size=\"24071680\", alpha=\"0.13\", expect_size=\"9628672\"] \n  3 -> 27 [size =\"9628672\"]\n  3 -> 28 [size =\"9628672\"]\n  3 -> 35 [size =\"9628672\"]\n  3 -> 37 [size =\"9628672\"]\n  3 -> 40 [size =\"9628672\"]\n  4 [size=\"71667200\", alpha=\"0.12\", expect_size=\"28666880\"] \n  4 -> 28 [size =\"28666880\"]\n  4 -> 36 [size =\"28666880\"]\n  5 [size=\"50841600\", alpha=\"0.05\", expect_size=\"20336640\"] \n  5 -> 27 [size =\"20336640\"]\n  5 -> 28 [size =\"20336640\"]\n  5 -> 29 [size =\"20336640\"]\n  5 -> 31 [size =\"20336640\"]\n  5 -> 35 [size =\"20336640\"]\n  5 -> 38 [size =\"20336640\"]\n  5 -> 40 [size =\"20336640\"]\n  6 [size=\"108679680\", alpha=\"0.00\", expect_size=\"43471872\"] \n  6 -> 27 [size =\"43471872\"]\n  6 -> 28 [size =\"43471872\"]\n  6 -> 29 [size =\"43471872\"]\n  6 -> 31 [size =\"43471872\"]\n  6 -> 33 [size =\"43471872\"]\n  6 -> 35 [size =\"43471872\"]\n  6 -> 36 [size =\"43471872\"]\n  6 -> 39 [size =\"43471872\"]\n  6 -> 40 [size =\"43471872\"]\n  7 [size=\"64404480\", alpha=\"0.04\", expect_size=\"25761792\"] \n  7 -> 25 [size =\"25761792\"]\n  7 -> 27 [size =\"25761792\"]\n  7 -> 28 [size =\"25761792\"]\n  7 -> 29 [size =\"25761792\"]\n  7 -> 30 [size =\"25761792\"]\n  7 -> 32 [size =\"25761792\"]\n  7 -> 35 [size =\"25761792\"]\n  7 -> 36 [size =\"25761792\"]\n  7 -> 37 [size =\"25761792\"]\n  7 -> 38 [size =\"25761792\"]\n  7 -> 40 [size =\"25761792\"]\n  8 [size=\"46865920\", alpha=\"0.03\", expect_size=\"18746368\"] \n  8 -> 27 [size =\"18746368\"]\n  8 -> 28 [size =\"18746368\"]\n  8 -> 28 [size =\"18746368\"]\n  8 -> 30 [size =\"18746368\"]\n  8 -> 31 [size =\"18746368\"]\n  8 -> 33 [size =\"18746368\"]\n  8 -> 35 [size =\"18746368\"]\n  8 -> 36 [size =\"18746368\"]\n  8 -> 37 [size =\"18746368\"]\n  8 -> 38 [size =\"18746368\"]\n  8 -> 40 [size =\"18746368\"]\n  9 [size=\"44608000\", alpha=\"0.14\", expect_size=\"17843200\"] \n  9 -> 25 [size =\"17843200\"]\n  9 -> 26 [size =\"17843200\"]\n  9 -> 27 [size =\"17843200\"]\n  9 -> 28 [size =\"17843200\"]\n  9 -> 29 [size =\"17843200\"]\n  9 -> 33 [size =\"17843200\"]\n  9 -> 35 [size =\"17843200\"]\n  9 -> 36 [size =\"17843200\"]\n  9 -> 37 [size =\"17843200\"]\n  9 -> 40 [size =\"17843200\"]\n  10 [size=\"50908160\", alpha=\"0.15\", expect_size=\"20363264\"] \n  10 -> 25 [size =\"20363264\"]\n  10 -> 26 [size =\"20363264\"]\n  10 -> 27 [size =\"20363264\"]\n  10 -> 28 [size =\"20363264\"]\n  10 -> 29 [size =\"20363264\"]\n  10 -> 30 [size =\"20363264\"]\n  10 -> 32 [size =\"20363264\"]\n  10 -> 33 [size =\"20363264\"]\n  10 -> 35 [size =\"20363264\"]\n  10 -> 36 [size =\"20363264\"]\n  10 -> 37 [size =\"20363264\"]\n  10 -> 38 [size =\"20363264\"]\n  11 [size=\"49548800\", alpha=\"0.17\", expect_size=\"19819520\"] \n  11 -> 27 [size =\"19819520\"]\n  11 -> 28 [size =\"19819520\"]\n  11 -> 29 [size =\"19819520\"]\n  11 -> 30 [size =\"19819520\"]\n  11 -> 31 [size =\"19819520\"]\n  11 -> 33 [size =\"19819520\"]\n  11 -> 35 [size =\"19819520\"]\n  11 -> 36 [size =\"19819520\"]\n  11 -> 38 [size =\"19819520\"]\n  11 -> 40 [size =\"19819520\"]\n  12 [size=\"86438400\", alpha=\"0.02\", expect_size=\"34575360\"] \n  12 -> 26 [size =\"34575360\"]\n  12 -> 28 [size =\"34575360\"]\n  12 -> 30 [size =\"34575360\"]\n  12 -> 31 [size =\"34575360\"]\n  12 -> 32 [size =\"34575360\"]\n  12 -> 33 [size =\"34575360\"]\n  12 -> 35 [size =\"34575360\"]\n  12 -> 36 [size =\"34575360\"]\n  12 -> 37 [size =\"34575360\"]\n  12 -> 38 [size =\"34575360\"]\n  13 [size=\"32652800\", alpha=\"0.20\", expect_size=\"13061120\"] \n  13 -> 27 [size =\"13061120\"]\n  13 -> 28 [size =\"13061120\"]\n  13 -> 30 [size =\"13061120\"]\n  13 -> 33 [size =\"13061120\"]\n  13 -> 36 [size =\"13061120\"]\n  13 -> 38 [size =\"13061120\"]\n  14 [size=\"108193280\", alpha=\"0.06\", expect_size=\"43277312\"] \n  14 -> 27 [size =\"43277312\"]\n  14 -> 28 [size =\"43277312\"]\n  14 -> 30 [size =\"43277312\"]\n  14 -> 31 [size =\"43277312\"]\n  14 -> 33 [size =\"43277312\"]\n  14 -> 34 [size =\"43277312\"]\n  14 -> 36 [size =\"43277312\"]\n  14 -> 40 [size =\"43277312\"]\n  15 [size=\"59148800\", alpha=\"0.01\", expect_size=\"23659520\"] \n  15 -> 25 [size =\"23659520\"]\n  15 -> 26 [size =\"23659520\"]\n  15 -> 28 [size =\"23659520\"]\n  15 -> 30 [size =\"23659520\"]\n  15 -> 33 [size =\"23659520\"]\n  15 -> 36 [size =\"23659520\"]\n  15 -> 38 [size =\"23659520\"]\n  15 -> 39 [size =\"23659520\"]\n  16 [size=\"90583040\", alpha=\"0.18\", expect_size=\"36233216\"] \n  16 -> 27 [size =\"36233216\"]\n  16 -> 29 [size =\"36233216\"]\n  16 -> 33 [size =\"36233216\"]\n  16 -> 36 [size =\"36233216\"]\n  16 -> 37 [size =\"36233216\"]\n  16 -> 38 [size =\"36233216\"]\n  16 -> 38 [size =\"36233216\"]\n  17 [size=\"91886080\", alpha=\"0.01\", expect_size=\"36754432\"] \n  17 -> 27 [size =\"36754432\"]\n  17 -> 28 [size =\"36754432\"]\n  17 -> 29 [size =\"36754432\"]\n  17 -> 30 [size =\"36754432\"]\n  17 -> 31 [size =\"36754432\"]\n  17 -> 32 [size =\"36754432\"]\n  17 -> 33 [size =\"36754432\"]\n  17 -> 35 [size =\"36754432\"]\n  17 -> 37 [size =\"36754432\"]\n  17 -> 38 [size =\"36754432\"]\n  18 [size=\"112839680\", alpha=\"0.04\", expect_size=\"45135872\"] \n  18 -> 26 [size =\"45135872\"]\n  18 -> 27 [size =\"45135872\"]\n  18 -> 29 [size =\"45135872\"]\n  18 -> 30 [size =\"45135872\"]\n  18 -> 31 [size =\"45135872\"]\n  18 -> 33 [size =\"45135872\"]\n  18 -> 33 [size =\"45135872\"]\n  18 -> 34 [size =\"45135872\"]\n  18 -> 36 [size =\"45135872\"]\n  18 -> 37 [size =\"45135872\"]\n  18 -> 38 [size =\"45135872\"]\n  18 -> 40 [size =\"45135872\"]\n  19 [size=\"127984640\", alpha=\"0.16\", expect_size=\"51193856\"] \n  19 -> 25 [size =\"51193856\"]\n  19 -> 27 [size =\"51193856\"]\n  19 -> 28 [size =\"51193856\"]\n  19 -> 29 [size =\"51193856\"]\n  19 -> 30 [size =\"51193856\"]\n  19 -> 33 [size =\"51193856\"]\n  19 -> 34 [size =\"51193856\"]\n  19 -> 35 [size =\"51193856\"]\n  19 -> 36 [size =\"51193856\"]\n  19 -> 37 [size =\"51193856\"]\n  19 -> 40 [size =\"51193856\"]\n  20 [size=\"90168320\", alpha=\"0.00\", expect_size=\"36067328\"] \n  20 -> 27 [size =\"36067328\"]\n  20 -> 27 [size =\"36067328\"]\n  20 -> 28 [size =\"36067328\"]\n  20 -> 29 [size =\"36067328\"]\n  20 -> 32 [size =\"36067328\"]\n  20 -> 33 [size =\"36067328\"]\n  20 -> 35 [size =\"36067328\"]\n  20 -> 36 [size =\"36067328\"]\n  21 [size=\"60423680\", alpha=\"0.15\", expect_size=\"24169472\"] \n  21 -> 25 [size =\"24169472\"]\n  21 -> 27 [size =\"24169472\"]\n  21 -> 28 [size =\"24169472\"]\n  21 -> 29 [size =\"24169472\"]\n  21 -> 31 [size =\"24169472\"]\n  21 -> 32 [size =\"24169472\"]\n  21 -> 33 [size =\"24169472\"]\n  21 -> 35 [size =\"24169472\"]\n  21 -> 37 [size =\"24169472\"]\n  22 [size=\"41323520\", alpha=\"0.04\", expect_size=\"16529408\"] \n  22 -> 25 [size =\"16529408\"]\n  22 -> 28 [size =\"16529408\"]\n  22 -> 29 [size =\"16529408\"]\n  22 -> 33 [size =\"16529408\"]\n  22 -> 34 [size =\"16529408\"]\n  22 -> 35 [size =\"16529408\"]\n  22 -> 37 [size =\"16529408\"]\n  23 [size=\"52334080\", alpha=\"0.15\", expect_size=\"20933632\"] \n  23 -> 25 [size =\"20933632\"]\n  23 -> 29 [size =\"20933632\"]\n  23 -> 31 [size =\"20933632\"]\n  23 -> 32 [size =\"20933632\"]\n  23 -> 33 [size =\"20933632\"]\n  23 -> 35 [size =\"20933632\"]\n  23 -> 36 [size =\"20933632\"]\n  24 [size=\"52313600\", alpha=\"0.17\", expect_size=\"20925440\"] \n  24 -> 25 [size =\"20925440\"]\n  24 -> 26 [size =\"20925440\"]\n  24 -> 31 [size =\"20925440\"]\n  24 -> 34 [size =\"20925440\"]\n  24 -> 35 [size =\"20925440\"]\n  24 -> 37 [size =\"20925440\"]\n  25 [size=\"88496640\", alpha=\"0.04\", expect_size=\"35398656\"] \n  26 [size=\"94699520\", alpha=\"0.08\", expect_size=\"37879808\"] \n  27 [size=\"81400320\", alpha=\"0.00\", expect_size=\"32560128\"] \n  28 [size=\"87290880\", alpha=\"0.18\", expect_size=\"34916352\"] \n  29 [size=\"109299200\", alpha=\"0.02\", expect_size=\"43719680\"] \n  30 [size=\"83955200\", alpha=\"0.12\", expect_size=\"33582080\"] \n  31 [size=\"84887040\", alpha=\"0.08\", expect_size=\"33954816\"] \n  32 [size=\"54310400\", alpha=\"0.16\", expect_size=\"21724160\"] \n  33 [size=\"78876160\", alpha=\"0.08\", expect_size=\"31550464\"] \n  34 [size=\"51586560\", alpha=\"0.16\", expect_size=\"20634624\"] \n  35 [size=\"31001600\", alpha=\"0.12\", expect_size=\"12400640\"] \n  36 [size=\"54858240\", alpha=\"0.01\", expect_size=\"21943296\"] \n  37 [size=\"100764160\", alpha=\"0.03\", expect_size=\"40305664\"] \n  38 [size=\"102051840\", alpha=\"0.02\", expect_size=\"40820736\"] \n  39 [size=\"92485120\", alpha=\"0.01\", expect_size=\"36994048\"] \n  40 [size=\"103564800\", alpha=\"0.13\", expect_size=\"41425920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57766400\", alpha=\"0.01\", expect_size=\"23106560\"] \n  1 -> 2 [size =\"23106560\"]\n  2 [size=\"103782400\", alpha=\"0.04\", expect_size=\"41512960\"] \n  2 -> 3 [size =\"41512960\"]\n  3 [size=\"51089920\", alpha=\"0.10\", expect_size=\"20435968\"] \n  3 -> 4 [size =\"20435968\"]\n  4 [size=\"79746560\", alpha=\"0.12\", expect_size=\"31898624\"] \n  4 -> 5 [size =\"31898624\"]\n  5 [size=\"35379200\", alpha=\"0.12\", expect_size=\"14151680\"] \n  5 -> 6 [size =\"14151680\"]\n  6 [size=\"107806720\", alpha=\"0.15\", expect_size=\"43122688\"] \n  6 -> 7 [size =\"43122688\"]\n  7 [size=\"119610880\", alpha=\"0.10\", expect_size=\"47844352\"] \n  7 -> 8 [size =\"47844352\"]\n  8 [size=\"130536960\", alpha=\"0.11\", expect_size=\"52214784\"] \n  8 -> 9 [size =\"52214784\"]\n  9 [size=\"42874880\", alpha=\"0.17\", expect_size=\"17149952\"] \n  9 -> 10 [size =\"17149952\"]\n  10 [size=\"29529600\", alpha=\"0.19\", expect_size=\"11811840\"] \n  10 -> 11 [size =\"11811840\"]\n  11 [size=\"122498560\", alpha=\"0.14\", expect_size=\"48999424\"] \n  11 -> 12 [size =\"48999424\"]\n  12 [size=\"126848000\", alpha=\"0.17\", expect_size=\"50739200\"] \n  12 -> 13 [size =\"50739200\"]\n  13 [size=\"35279360\", alpha=\"0.06\", expect_size=\"14111744\"] \n  13 -> 14 [size =\"14111744\"]\n  14 [size=\"94627840\", alpha=\"0.10\", expect_size=\"37851136\"] \n  14 -> 15 [size =\"37851136\"]\n  15 [size=\"48980480\", alpha=\"0.05\", expect_size=\"19592192\"] \n  15 -> 16 [size =\"19592192\"]\n  16 [size=\"120476160\", alpha=\"0.04\", expect_size=\"48190464\"] \n  16 -> 17 [size =\"48190464\"]\n  17 [size=\"92894720\", alpha=\"0.05\", expect_size=\"37157888\"] \n  17 -> 18 [size =\"37157888\"]\n  18 [size=\"34536960\", alpha=\"0.09\", expect_size=\"13814784\"] \n  18 -> 19 [size =\"13814784\"]\n  19 [size=\"101693440\", alpha=\"0.03\", expect_size=\"40677376\"] \n  19 -> 20 [size =\"40677376\"]\n  20 [size=\"84008960\", alpha=\"0.18\", expect_size=\"33603584\"] \n  20 -> 21 [size =\"33603584\"]\n  21 [size=\"77432320\", alpha=\"0.00\", expect_size=\"30972928\"] \n  21 -> 22 [size =\"30972928\"]\n  22 [size=\"44060160\", alpha=\"0.18\", expect_size=\"17624064\"] \n  22 -> 23 [size =\"17624064\"]\n  23 [size=\"25497600\", alpha=\"0.02\", expect_size=\"10199040\"] \n  23 -> 24 [size =\"10199040\"]\n  24 [size=\"59261440\", alpha=\"0.18\", expect_size=\"23704576\"] \n  24 -> 25 [size =\"23704576\"]\n  25 [size=\"120353280\", alpha=\"0.18\", expect_size=\"48141312\"] \n  25 -> 26 [size =\"48141312\"]\n  26 [size=\"31329280\", alpha=\"0.13\", expect_size=\"12531712\"] \n  26 -> 27 [size =\"12531712\"]\n  27 [size=\"52139520\", alpha=\"0.07\", expect_size=\"20855808\"] \n  27 -> 28 [size =\"20855808\"]\n  28 [size=\"79011840\", alpha=\"0.00\", expect_size=\"31604736\"] \n  28 -> 29 [size =\"31604736\"]\n  29 [size=\"13652480\", alpha=\"0.19\", expect_size=\"5460992\"] \n  29 -> 30 [size =\"5460992\"]\n  30 [size=\"29265920\", alpha=\"0.20\", expect_size=\"11706368\"] \n  30 -> 31 [size =\"11706368\"]\n  31 [size=\"15290880\", alpha=\"0.20\", expect_size=\"6116352\"] \n  31 -> 32 [size =\"6116352\"]\n  32 [size=\"16386560\", alpha=\"0.19\", expect_size=\"6554624\"] \n  32 -> 33 [size =\"6554624\"]\n  33 [size=\"123230720\", alpha=\"0.02\", expect_size=\"49292288\"] \n  33 -> 34 [size =\"49292288\"]\n  34 [size=\"19914240\", alpha=\"0.18\", expect_size=\"7965696\"] \n  34 -> 35 [size =\"7965696\"]\n  35 [size=\"126968320\", alpha=\"0.01\", expect_size=\"50787328\"] \n  35 -> 36 [size =\"50787328\"]\n  36 [size=\"112773120\", alpha=\"0.02\", expect_size=\"45109248\"] \n  36 -> 37 [size =\"45109248\"]\n  37 [size=\"72030720\", alpha=\"0.17\", expect_size=\"28812288\"] \n  37 -> 38 [size =\"28812288\"]\n  38 [size=\"111247360\", alpha=\"0.15\", expect_size=\"44498944\"] \n  38 -> 39 [size =\"44498944\"]\n  39 [size=\"111923200\", alpha=\"0.08\", expect_size=\"44769280\"] \n  39 -> 40 [size =\"44769280\"]\n  40 [size=\"103825920\", alpha=\"0.13\", expect_size=\"41530368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47439872\", alpha=\"0.05\", expect_size=\"23719936\"] \n  1 -> 2 [size =\"23719936\"]\n  2 [size=\"57034752\", alpha=\"0.01\", expect_size=\"28517376\"] \n  2 -> 3 [size =\"28517376\"]\n  3 [size=\"71749632\", alpha=\"0.07\", expect_size=\"35874816\"] \n  3 -> 4 [size =\"35874816\"]\n  4 [size=\"91600896\", alpha=\"0.09\", expect_size=\"45800448\"] \n  4 -> 5 [size =\"45800448\"]\n  5 [size=\"68818944\", alpha=\"0.19\", expect_size=\"34409472\"] \n  5 -> 6 [size =\"34409472\"]\n  6 [size=\"76470272\", alpha=\"0.12\", expect_size=\"38235136\"] \n  6 -> 7 [size =\"38235136\"]\n  7 [size=\"26671104\", alpha=\"0.01\", expect_size=\"13335552\"] \n  7 -> 8 [size =\"13335552\"]\n  8 [size=\"67672064\", alpha=\"0.06\", expect_size=\"33836032\"] \n  8 -> 9 [size =\"33836032\"]\n  9 [size=\"24848384\", alpha=\"0.14\", expect_size=\"12424192\"] \n  9 -> 10 [size =\"12424192\"]\n  10 [size=\"92614656\", alpha=\"0.05\", expect_size=\"46307328\"] \n  10 -> 11 [size =\"46307328\"]\n  11 [size=\"84768768\", alpha=\"0.19\", expect_size=\"42384384\"] \n  11 -> 12 [size =\"42384384\"]\n  12 [size=\"12193792\", alpha=\"0.06\", expect_size=\"6096896\"] \n  12 -> 13 [size =\"6096896\"]\n  13 [size=\"14716928\", alpha=\"0.06\", expect_size=\"7358464\"] \n  13 -> 14 [size =\"7358464\"]\n  14 [size=\"48384000\", alpha=\"0.03\", expect_size=\"24192000\"] \n  14 -> 15 [size =\"24192000\"]\n  15 [size=\"88571904\", alpha=\"0.01\", expect_size=\"44285952\"] \n  15 -> 16 [size =\"44285952\"]\n  16 [size=\"83068928\", alpha=\"0.10\", expect_size=\"41534464\"] \n  16 -> 17 [size =\"41534464\"]\n  17 [size=\"46557184\", alpha=\"0.06\", expect_size=\"23278592\"] \n  17 -> 18 [size =\"23278592\"]\n  18 [size=\"50608128\", alpha=\"0.04\", expect_size=\"25304064\"] \n  18 -> 19 [size =\"25304064\"]\n  19 [size=\"77369344\", alpha=\"0.20\", expect_size=\"38684672\"] \n  19 -> 20 [size =\"38684672\"]\n  20 [size=\"49088512\", alpha=\"0.12\", expect_size=\"24544256\"] \n  20 -> 21 [size =\"24544256\"]\n  21 [size=\"72261632\", alpha=\"0.12\", expect_size=\"36130816\"] \n  21 -> 22 [size =\"36130816\"]\n  22 [size=\"66910208\", alpha=\"0.01\", expect_size=\"33455104\"] \n  22 -> 23 [size =\"33455104\"]\n  23 [size=\"97163264\", alpha=\"0.04\", expect_size=\"48581632\"] \n  23 -> 24 [size =\"48581632\"]\n  24 [size=\"32768000\", alpha=\"0.04\", expect_size=\"16384000\"] \n  24 -> 25 [size =\"16384000\"]\n  25 [size=\"45746176\", alpha=\"0.16\", expect_size=\"22873088\"] \n  25 -> 26 [size =\"22873088\"]\n  26 [size=\"48240640\", alpha=\"0.03\", expect_size=\"24120320\"] \n  26 -> 27 [size =\"24120320\"]\n  27 [size=\"94029824\", alpha=\"0.12\", expect_size=\"47014912\"] \n  27 -> 28 [size =\"47014912\"]\n  28 [size=\"26839040\", alpha=\"0.14\", expect_size=\"13419520\"] \n  28 -> 29 [size =\"13419520\"]\n  29 [size=\"47216640\", alpha=\"0.19\", expect_size=\"23608320\"] \n  29 -> 30 [size =\"23608320\"]\n  30 [size=\"46714880\", alpha=\"0.01\", expect_size=\"23357440\"] \n  30 -> 31 [size =\"23357440\"]\n  31 [size=\"102946816\", alpha=\"0.19\", expect_size=\"51473408\"] \n  31 -> 32 [size =\"51473408\"]\n  32 [size=\"64120832\", alpha=\"0.17\", expect_size=\"32060416\"] \n  32 -> 33 [size =\"32060416\"]\n  33 [size=\"71159808\", alpha=\"0.17\", expect_size=\"35579904\"] \n  33 -> 34 [size =\"35579904\"]\n  34 [size=\"90957824\", alpha=\"0.04\", expect_size=\"45478912\"] \n  34 -> 35 [size =\"45478912\"]\n  35 [size=\"15884288\", alpha=\"0.08\", expect_size=\"7942144\"] \n  35 -> 36 [size =\"7942144\"]\n  36 [size=\"93020160\", alpha=\"0.07\", expect_size=\"46510080\"] \n  36 -> 37 [size =\"46510080\"]\n  37 [size=\"10860544\", alpha=\"0.14\", expect_size=\"5430272\"] \n  37 -> 38 [size =\"5430272\"]\n  38 [size=\"68710400\", alpha=\"0.09\", expect_size=\"34355200\"] \n  38 -> 39 [size =\"34355200\"]\n  39 [size=\"40638464\", alpha=\"0.19\", expect_size=\"20319232\"] \n  39 -> 40 [size =\"20319232\"]\n  40 [size=\"35383296\", alpha=\"0.16\", expect_size=\"17691648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97812480\", alpha=\"0.11\", expect_size=\"39124992\"] \n  1 -> 27 [size =\"39124992\"]\n  1 -> 32 [size =\"39124992\"]\n  1 -> 33 [size =\"39124992\"]\n  1 -> 34 [size =\"39124992\"]\n  2 [size=\"85611520\", alpha=\"0.04\", expect_size=\"34244608\"] \n  2 -> 27 [size =\"34244608\"]\n  2 -> 31 [size =\"34244608\"]\n  2 -> 33 [size =\"34244608\"]\n  2 -> 34 [size =\"34244608\"]\n  2 -> 35 [size =\"34244608\"]\n  2 -> 37 [size =\"34244608\"]\n  2 -> 38 [size =\"34244608\"]\n  3 [size=\"108779520\", alpha=\"0.03\", expect_size=\"43511808\"] \n  3 -> 27 [size =\"43511808\"]\n  3 -> 29 [size =\"43511808\"]\n  3 -> 34 [size =\"43511808\"]\n  3 -> 35 [size =\"43511808\"]\n  3 -> 37 [size =\"43511808\"]\n  3 -> 38 [size =\"43511808\"]\n  4 [size=\"88527360\", alpha=\"0.16\", expect_size=\"35410944\"] \n  4 -> 29 [size =\"35410944\"]\n  4 -> 31 [size =\"35410944\"]\n  4 -> 32 [size =\"35410944\"]\n  4 -> 34 [size =\"35410944\"]\n  4 -> 37 [size =\"35410944\"]\n  4 -> 38 [size =\"35410944\"]\n  5 [size=\"46218240\", alpha=\"0.20\", expect_size=\"18487296\"] \n  5 -> 33 [size =\"18487296\"]\n  5 -> 34 [size =\"18487296\"]\n  5 -> 37 [size =\"18487296\"]\n  5 -> 38 [size =\"18487296\"]\n  5 -> 40 [size =\"18487296\"]\n  6 [size=\"55636480\", alpha=\"0.03\", expect_size=\"22254592\"] \n  6 -> 31 [size =\"22254592\"]\n  6 -> 34 [size =\"22254592\"]\n  6 -> 38 [size =\"22254592\"]\n  7 [size=\"97594880\", alpha=\"0.20\", expect_size=\"39037952\"] \n  7 -> 27 [size =\"39037952\"]\n  7 -> 35 [size =\"39037952\"]\n  8 [size=\"43891200\", alpha=\"0.11\", expect_size=\"17556480\"] \n  8 -> 31 [size =\"17556480\"]\n  8 -> 35 [size =\"17556480\"]\n  8 -> 36 [size =\"17556480\"]\n  8 -> 37 [size =\"17556480\"]\n  9 [size=\"24253440\", alpha=\"0.01\", expect_size=\"9701376\"] \n  9 -> 29 [size =\"9701376\"]\n  9 -> 32 [size =\"9701376\"]\n  9 -> 35 [size =\"9701376\"]\n  9 -> 40 [size =\"9701376\"]\n  10 [size=\"20410880\", alpha=\"0.11\", expect_size=\"8164352\"] \n  10 -> 28 [size =\"8164352\"]\n  10 -> 31 [size =\"8164352\"]\n  10 -> 33 [size =\"8164352\"]\n  10 -> 35 [size =\"8164352\"]\n  11 [size=\"36697600\", alpha=\"0.08\", expect_size=\"14679040\"] \n  11 -> 30 [size =\"14679040\"]\n  11 -> 33 [size =\"14679040\"]\n  11 -> 34 [size =\"14679040\"]\n  11 -> 35 [size =\"14679040\"]\n  11 -> 36 [size =\"14679040\"]\n  11 -> 37 [size =\"14679040\"]\n  11 -> 38 [size =\"14679040\"]\n  11 -> 39 [size =\"14679040\"]\n  11 -> 40 [size =\"14679040\"]\n  12 [size=\"101063680\", alpha=\"0.02\", expect_size=\"40425472\"] \n  12 -> 31 [size =\"40425472\"]\n  12 -> 33 [size =\"40425472\"]\n  12 -> 34 [size =\"40425472\"]\n  12 -> 35 [size =\"40425472\"]\n  12 -> 37 [size =\"40425472\"]\n  12 -> 38 [size =\"40425472\"]\n  12 -> 40 [size =\"40425472\"]\n  13 [size=\"127065600\", alpha=\"0.07\", expect_size=\"50826240\"] \n  13 -> 34 [size =\"50826240\"]\n  13 -> 35 [size =\"50826240\"]\n  13 -> 36 [size =\"50826240\"]\n  13 -> 40 [size =\"50826240\"]\n  14 [size=\"29608960\", alpha=\"0.15\", expect_size=\"11843584\"] \n  14 -> 30 [size =\"11843584\"]\n  14 -> 32 [size =\"11843584\"]\n  14 -> 34 [size =\"11843584\"]\n  14 -> 35 [size =\"11843584\"]\n  14 -> 38 [size =\"11843584\"]\n  14 -> 40 [size =\"11843584\"]\n  15 [size=\"122355200\", alpha=\"0.07\", expect_size=\"48942080\"] \n  15 -> 27 [size =\"48942080\"]\n  15 -> 28 [size =\"48942080\"]\n  15 -> 29 [size =\"48942080\"]\n  15 -> 33 [size =\"48942080\"]\n  15 -> 34 [size =\"48942080\"]\n  15 -> 37 [size =\"48942080\"]\n  15 -> 38 [size =\"48942080\"]\n  15 -> 40 [size =\"48942080\"]\n  16 [size=\"120814080\", alpha=\"0.19\", expect_size=\"48325632\"] \n  16 -> 27 [size =\"48325632\"]\n  16 -> 31 [size =\"48325632\"]\n  16 -> 33 [size =\"48325632\"]\n  16 -> 34 [size =\"48325632\"]\n  16 -> 35 [size =\"48325632\"]\n  16 -> 37 [size =\"48325632\"]\n  16 -> 38 [size =\"48325632\"]\n  16 -> 40 [size =\"48325632\"]\n  17 [size=\"20723200\", alpha=\"0.16\", expect_size=\"8289280\"] \n  17 -> 34 [size =\"8289280\"]\n  17 -> 38 [size =\"8289280\"]\n  18 [size=\"18467840\", alpha=\"0.17\", expect_size=\"7387136\"] \n  18 -> 34 [size =\"7387136\"]\n  18 -> 38 [size =\"7387136\"]\n  19 [size=\"81733120\", alpha=\"0.15\", expect_size=\"32693248\"] \n  19 -> 27 [size =\"32693248\"]\n  19 -> 35 [size =\"32693248\"]\n  19 -> 37 [size =\"32693248\"]\n  19 -> 38 [size =\"32693248\"]\n  20 [size=\"86292480\", alpha=\"0.08\", expect_size=\"34516992\"] \n  20 -> 27 [size =\"34516992\"]\n  20 -> 35 [size =\"34516992\"]\n  20 -> 40 [size =\"34516992\"]\n  21 [size=\"31866880\", alpha=\"0.16\", expect_size=\"12746752\"] \n  21 -> 27 [size =\"12746752\"]\n  21 -> 30 [size =\"12746752\"]\n  21 -> 33 [size =\"12746752\"]\n  21 -> 34 [size =\"12746752\"]\n  21 -> 35 [size =\"12746752\"]\n  21 -> 40 [size =\"12746752\"]\n  22 [size=\"79869440\", alpha=\"0.16\", expect_size=\"31947776\"] \n  22 -> 30 [size =\"31947776\"]\n  22 -> 31 [size =\"31947776\"]\n  22 -> 32 [size =\"31947776\"]\n  22 -> 33 [size =\"31947776\"]\n  22 -> 39 [size =\"31947776\"]\n  22 -> 40 [size =\"31947776\"]\n  23 [size=\"92072960\", alpha=\"0.12\", expect_size=\"36829184\"] \n  23 -> 40 [size =\"36829184\"]\n  24 [size=\"14837760\", alpha=\"0.02\", expect_size=\"5935104\"] \n  24 -> 29 [size =\"5935104\"]\n  24 -> 31 [size =\"5935104\"]\n  24 -> 32 [size =\"5935104\"]\n  24 -> 36 [size =\"5935104\"]\n  24 -> 40 [size =\"5935104\"]\n  25 [size=\"103715840\", alpha=\"0.16\", expect_size=\"41486336\"] \n  25 -> 31 [size =\"41486336\"]\n  25 -> 31 [size =\"41486336\"]\n  25 -> 32 [size =\"41486336\"]\n  25 -> 38 [size =\"41486336\"]\n  25 -> 40 [size =\"41486336\"]\n  26 [size=\"25039360\", alpha=\"0.18\", expect_size=\"10015744\"] \n  26 -> 28 [size =\"10015744\"]\n  26 -> 29 [size =\"10015744\"]\n  26 -> 30 [size =\"10015744\"]\n  26 -> 31 [size =\"10015744\"]\n  26 -> 32 [size =\"10015744\"]\n  26 -> 37 [size =\"10015744\"]\n  26 -> 38 [size =\"10015744\"]\n  26 -> 39 [size =\"10015744\"]\n  27 [size=\"17372160\", alpha=\"0.15\", expect_size=\"6948864\"] \n  28 [size=\"112691200\", alpha=\"0.16\", expect_size=\"45076480\"] \n  29 [size=\"95595520\", alpha=\"0.20\", expect_size=\"38238208\"] \n  30 [size=\"63288320\", alpha=\"0.04\", expect_size=\"25315328\"] \n  31 [size=\"110632960\", alpha=\"0.13\", expect_size=\"44253184\"] \n  32 [size=\"86405120\", alpha=\"0.17\", expect_size=\"34562048\"] \n  33 [size=\"63109120\", alpha=\"0.19\", expect_size=\"25243648\"] \n  34 [size=\"18457600\", alpha=\"0.05\", expect_size=\"7383040\"] \n  35 [size=\"27870720\", alpha=\"0.09\", expect_size=\"11148288\"] \n  36 [size=\"124462080\", alpha=\"0.12\", expect_size=\"49784832\"] \n  37 [size=\"114828800\", alpha=\"0.16\", expect_size=\"45931520\"] \n  38 [size=\"83458560\", alpha=\"0.00\", expect_size=\"33383424\"] \n  39 [size=\"61140480\", alpha=\"0.17\", expect_size=\"24456192\"] \n  40 [size=\"59020800\", alpha=\"0.05\", expect_size=\"23608320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54714880\", alpha=\"0.10\", expect_size=\"21885952\"] \n  1 -> 4 [size =\"21885952\"]\n  1 -> 6 [size =\"21885952\"]\n  2 [size=\"69506560\", alpha=\"0.10\", expect_size=\"27802624\"] \n  2 -> 5 [size =\"27802624\"]\n  2 -> 6 [size =\"27802624\"]\n  3 [size=\"118074880\", alpha=\"0.00\", expect_size=\"47229952\"] \n  3 -> 4 [size =\"47229952\"]\n  3 -> 7 [size =\"47229952\"]\n  4 [size=\"130913280\", alpha=\"0.05\", expect_size=\"52365312\"] \n  5 [size=\"98977280\", alpha=\"0.18\", expect_size=\"39590912\"] \n  5 -> 8 [size =\"39590912\"]\n  5 -> 10 [size =\"39590912\"]\n  6 [size=\"65615360\", alpha=\"0.15\", expect_size=\"26246144\"] \n  6 -> 8 [size =\"26246144\"]\n  6 -> 9 [size =\"26246144\"]\n  7 [size=\"66690560\", alpha=\"0.16\", expect_size=\"26676224\"] \n  7 -> 9 [size =\"26676224\"]\n  8 [size=\"116144640\", alpha=\"0.14\", expect_size=\"46457856\"] \n  8 -> 11 [size =\"46457856\"]\n  9 [size=\"46781440\", alpha=\"0.04\", expect_size=\"18712576\"] \n  10 [size=\"71759360\", alpha=\"0.19\", expect_size=\"28703744\"] \n  10 -> 11 [size =\"28703744\"]\n  11 [size=\"130759680\", alpha=\"0.17\", expect_size=\"52303872\"] \n  11 -> 12 [size =\"52303872\"]\n  11 -> 13 [size =\"52303872\"]\n  11 -> 14 [size =\"52303872\"]\n  11 -> 15 [size =\"52303872\"]\n  12 [size=\"70604800\", alpha=\"0.04\", expect_size=\"28241920\"] \n  13 [size=\"127654400\", alpha=\"0.04\", expect_size=\"51061760\"] \n  13 -> 16 [size =\"51061760\"]\n  14 [size=\"128714240\", alpha=\"0.05\", expect_size=\"51485696\"] \n  15 [size=\"42068480\", alpha=\"0.19\", expect_size=\"16827392\"] \n  16 [size=\"31641600\", alpha=\"0.12\", expect_size=\"12656640\"] \n  16 -> 17 [size =\"12656640\"]\n  16 -> 18 [size =\"12656640\"]\n  17 [size=\"118469120\", alpha=\"0.03\", expect_size=\"47387648\"] \n  17 -> 19 [size =\"47387648\"]\n  17 -> 20 [size =\"47387648\"]\n  18 [size=\"94126080\", alpha=\"0.11\", expect_size=\"37650432\"] \n  18 -> 19 [size =\"37650432\"]\n  18 -> 20 [size =\"37650432\"]\n  18 -> 21 [size =\"37650432\"]\n  19 [size=\"60787200\", alpha=\"0.13\", expect_size=\"24314880\"] \n  20 [size=\"82332160\", alpha=\"0.02\", expect_size=\"32932864\"] \n  20 -> 22 [size =\"32932864\"]\n  20 -> 23 [size =\"32932864\"]\n  20 -> 25 [size =\"32932864\"]\n  21 [size=\"76336640\", alpha=\"0.19\", expect_size=\"30534656\"] \n  21 -> 22 [size =\"30534656\"]\n  21 -> 24 [size =\"30534656\"]\n  22 [size=\"57638400\", alpha=\"0.05\", expect_size=\"23055360\"] \n  22 -> 27 [size =\"23055360\"]\n  23 [size=\"81989120\", alpha=\"0.09\", expect_size=\"32795648\"] \n  23 -> 27 [size =\"32795648\"]\n  24 [size=\"107292160\", alpha=\"0.13\", expect_size=\"42916864\"] \n  24 -> 26 [size =\"42916864\"]\n  25 [size=\"16977920\", alpha=\"0.11\", expect_size=\"6791168\"] \n  25 -> 26 [size =\"6791168\"]\n  25 -> 27 [size =\"6791168\"]\n  26 [size=\"126807040\", alpha=\"0.19\", expect_size=\"50722816\"] \n  26 -> 29 [size =\"50722816\"]\n  26 -> 30 [size =\"50722816\"]\n  27 [size=\"78822400\", alpha=\"0.15\", expect_size=\"31528960\"] \n  27 -> 28 [size =\"31528960\"]\n  27 -> 29 [size =\"31528960\"]\n  27 -> 30 [size =\"31528960\"]\n  28 [size=\"98951680\", alpha=\"0.09\", expect_size=\"39580672\"] \n  29 [size=\"47080960\", alpha=\"0.09\", expect_size=\"18832384\"] \n  30 [size=\"123133440\", alpha=\"0.18\", expect_size=\"49253376\"] \n  30 -> 31 [size =\"49253376\"]\n  30 -> 32 [size =\"49253376\"]\n  31 [size=\"19461120\", alpha=\"0.08\", expect_size=\"7784448\"] \n  31 -> 33 [size =\"7784448\"]\n  31 -> 34 [size =\"7784448\"]\n  32 [size=\"13603840\", alpha=\"0.07\", expect_size=\"5441536\"] \n  32 -> 33 [size =\"5441536\"]\n  32 -> 34 [size =\"5441536\"]\n  33 [size=\"43996160\", alpha=\"0.06\", expect_size=\"17598464\"] \n  33 -> 35 [size =\"17598464\"]\n  33 -> 36 [size =\"17598464\"]\n  34 [size=\"97643520\", alpha=\"0.04\", expect_size=\"39057408\"] \n  34 -> 36 [size =\"39057408\"]\n  35 [size=\"56419840\", alpha=\"0.08\", expect_size=\"22567936\"] \n  35 -> 38 [size =\"22567936\"]\n  35 -> 39 [size =\"22567936\"]\n  36 [size=\"124162560\", alpha=\"0.14\", expect_size=\"49665024\"] \n  36 -> 37 [size =\"49665024\"]\n  37 [size=\"117450240\", alpha=\"0.18\", expect_size=\"46980096\"] \n  38 [size=\"89871360\", alpha=\"0.16\", expect_size=\"35948544\"] \n  39 [size=\"26496000\", alpha=\"0.02\", expect_size=\"10598400\"] \n  39 -> 40 [size =\"10598400\"]\n  40 [size=\"78965760\", alpha=\"0.20\", expect_size=\"31586304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78145536\", alpha=\"0.08\", expect_size=\"39072768\"] \n  1 -> 2 [size =\"39072768\"]\n  2 [size=\"79702016\", alpha=\"0.13\", expect_size=\"39851008\"] \n  2 -> 3 [size =\"39851008\"]\n  3 [size=\"72374272\", alpha=\"0.02\", expect_size=\"36187136\"] \n  3 -> 4 [size =\"36187136\"]\n  4 [size=\"13916160\", alpha=\"0.12\", expect_size=\"6958080\"] \n  4 -> 5 [size =\"6958080\"]\n  5 [size=\"70291456\", alpha=\"0.17\", expect_size=\"35145728\"] \n  5 -> 6 [size =\"35145728\"]\n  6 [size=\"20742144\", alpha=\"0.16\", expect_size=\"10371072\"] \n  6 -> 7 [size =\"10371072\"]\n  7 [size=\"83488768\", alpha=\"0.12\", expect_size=\"41744384\"] \n  7 -> 8 [size =\"41744384\"]\n  8 [size=\"98007040\", alpha=\"0.15\", expect_size=\"49003520\"] \n  8 -> 9 [size =\"49003520\"]\n  9 [size=\"58886144\", alpha=\"0.12\", expect_size=\"29443072\"] \n  9 -> 10 [size =\"29443072\"]\n  10 [size=\"19884032\", alpha=\"0.08\", expect_size=\"9942016\"] \n  10 -> 11 [size =\"9942016\"]\n  11 [size=\"31539200\", alpha=\"0.18\", expect_size=\"15769600\"] \n  11 -> 12 [size =\"15769600\"]\n  12 [size=\"70670336\", alpha=\"0.18\", expect_size=\"35335168\"] \n  12 -> 13 [size =\"35335168\"]\n  13 [size=\"39180288\", alpha=\"0.12\", expect_size=\"19590144\"] \n  13 -> 14 [size =\"19590144\"]\n  14 [size=\"47564800\", alpha=\"0.13\", expect_size=\"23782400\"] \n  14 -> 15 [size =\"23782400\"]\n  15 [size=\"104165376\", alpha=\"0.19\", expect_size=\"52082688\"] \n  15 -> 16 [size =\"52082688\"]\n  16 [size=\"90068992\", alpha=\"0.14\", expect_size=\"45034496\"] \n  16 -> 17 [size =\"45034496\"]\n  17 [size=\"70223872\", alpha=\"0.17\", expect_size=\"35111936\"] \n  17 -> 18 [size =\"35111936\"]\n  18 [size=\"33650688\", alpha=\"0.07\", expect_size=\"16825344\"] \n  18 -> 19 [size =\"16825344\"]\n  19 [size=\"102098944\", alpha=\"0.07\", expect_size=\"51049472\"] \n  19 -> 20 [size =\"51049472\"]\n  20 [size=\"66185216\", alpha=\"0.09\", expect_size=\"33092608\"] \n  20 -> 21 [size =\"33092608\"]\n  21 [size=\"10831872\", alpha=\"0.06\", expect_size=\"5415936\"] \n  21 -> 22 [size =\"5415936\"]\n  22 [size=\"97495040\", alpha=\"0.18\", expect_size=\"48747520\"] \n  22 -> 23 [size =\"48747520\"]\n  23 [size=\"89511936\", alpha=\"0.02\", expect_size=\"44755968\"] \n  23 -> 24 [size =\"44755968\"]\n  24 [size=\"54091776\", alpha=\"0.08\", expect_size=\"27045888\"] \n  24 -> 25 [size =\"27045888\"]\n  25 [size=\"19320832\", alpha=\"0.06\", expect_size=\"9660416\"] \n  25 -> 26 [size =\"9660416\"]\n  26 [size=\"12656640\", alpha=\"0.06\", expect_size=\"6328320\"] \n  26 -> 27 [size =\"6328320\"]\n  27 [size=\"76808192\", alpha=\"0.02\", expect_size=\"38404096\"] \n  27 -> 28 [size =\"38404096\"]\n  28 [size=\"61554688\", alpha=\"0.16\", expect_size=\"30777344\"] \n  28 -> 29 [size =\"30777344\"]\n  29 [size=\"93573120\", alpha=\"0.01\", expect_size=\"46786560\"] \n  29 -> 30 [size =\"46786560\"]\n  30 [size=\"30556160\", alpha=\"0.07\", expect_size=\"15278080\"] \n  30 -> 31 [size =\"15278080\"]\n  31 [size=\"73916416\", alpha=\"0.18\", expect_size=\"36958208\"] \n  31 -> 32 [size =\"36958208\"]\n  32 [size=\"102569984\", alpha=\"0.02\", expect_size=\"51284992\"] \n  32 -> 33 [size =\"51284992\"]\n  33 [size=\"91363328\", alpha=\"0.12\", expect_size=\"45681664\"] \n  33 -> 34 [size =\"45681664\"]\n  34 [size=\"102184960\", alpha=\"0.09\", expect_size=\"51092480\"] \n  34 -> 35 [size =\"51092480\"]\n  35 [size=\"44097536\", alpha=\"0.07\", expect_size=\"22048768\"] \n  35 -> 36 [size =\"22048768\"]\n  36 [size=\"71274496\", alpha=\"0.01\", expect_size=\"35637248\"] \n  36 -> 37 [size =\"35637248\"]\n  37 [size=\"99604480\", alpha=\"0.08\", expect_size=\"49802240\"] \n  37 -> 38 [size =\"49802240\"]\n  38 [size=\"13346816\", alpha=\"0.00\", expect_size=\"6673408\"] \n  38 -> 39 [size =\"6673408\"]\n  39 [size=\"88766464\", alpha=\"0.12\", expect_size=\"44383232\"] \n  39 -> 40 [size =\"44383232\"]\n  40 [size=\"91152384\", alpha=\"0.15\", expect_size=\"45576192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101679787\", alpha=\"0.13\", expect_size=\"30503936\"] \n  1 -> 32 [size =\"30503936\"]\n  1 -> 39 [size =\"30503936\"]\n  1 -> 39 [size =\"30503936\"]\n  1 -> 40 [size =\"30503936\"]\n  2 [size=\"165522773\", alpha=\"0.20\", expect_size=\"49656832\"] \n  2 -> 32 [size =\"49656832\"]\n  2 -> 40 [size =\"49656832\"]\n  3 [size=\"119074133\", alpha=\"0.05\", expect_size=\"35722240\"] \n  3 -> 40 [size =\"35722240\"]\n  4 [size=\"113892693\", alpha=\"0.12\", expect_size=\"34167808\"] \n  4 -> 31 [size =\"34167808\"]\n  4 -> 33 [size =\"34167808\"]\n  4 -> 35 [size =\"34167808\"]\n  4 -> 39 [size =\"34167808\"]\n  5 [size=\"132747947\", alpha=\"0.11\", expect_size=\"39824384\"] \n  5 -> 33 [size =\"39824384\"]\n  5 -> 34 [size =\"39824384\"]\n  5 -> 35 [size =\"39824384\"]\n  5 -> 36 [size =\"39824384\"]\n  5 -> 39 [size =\"39824384\"]\n  5 -> 40 [size =\"39824384\"]\n  6 [size=\"166727680\", alpha=\"0.12\", expect_size=\"50018304\"] \n  6 -> 30 [size =\"50018304\"]\n  6 -> 32 [size =\"50018304\"]\n  6 -> 33 [size =\"50018304\"]\n  6 -> 35 [size =\"50018304\"]\n  7 [size=\"41594880\", alpha=\"0.04\", expect_size=\"12478464\"] \n  7 -> 30 [size =\"12478464\"]\n  7 -> 32 [size =\"12478464\"]\n  7 -> 33 [size =\"12478464\"]\n  7 -> 35 [size =\"12478464\"]\n  7 -> 36 [size =\"12478464\"]\n  7 -> 39 [size =\"12478464\"]\n  8 [size=\"94661973\", alpha=\"0.08\", expect_size=\"28398592\"] \n  8 -> 33 [size =\"28398592\"]\n  8 -> 35 [size =\"28398592\"]\n  8 -> 40 [size =\"28398592\"]\n  9 [size=\"152118613\", alpha=\"0.12\", expect_size=\"45635584\"] \n  9 -> 33 [size =\"45635584\"]\n  9 -> 40 [size =\"45635584\"]\n  10 [size=\"166519467\", alpha=\"0.05\", expect_size=\"49955840\"] \n  10 -> 33 [size =\"49955840\"]\n  10 -> 37 [size =\"49955840\"]\n  10 -> 40 [size =\"49955840\"]\n  11 [size=\"106110293\", alpha=\"0.00\", expect_size=\"31833088\"] \n  11 -> 30 [size =\"31833088\"]\n  11 -> 39 [size =\"31833088\"]\n  11 -> 40 [size =\"31833088\"]\n  12 [size=\"50882560\", alpha=\"0.08\", expect_size=\"15264768\"] \n  12 -> 34 [size =\"15264768\"]\n  13 [size=\"49182720\", alpha=\"0.03\", expect_size=\"14754816\"] \n  13 -> 31 [size =\"14754816\"]\n  13 -> 32 [size =\"14754816\"]\n  13 -> 35 [size =\"14754816\"]\n  14 [size=\"85166080\", alpha=\"0.09\", expect_size=\"25549824\"] \n  14 -> 32 [size =\"25549824\"]\n  14 -> 35 [size =\"25549824\"]\n  14 -> 38 [size =\"25549824\"]\n  15 [size=\"21374293\", alpha=\"0.16\", expect_size=\"6412288\"] \n  15 -> 30 [size =\"6412288\"]\n  15 -> 32 [size =\"6412288\"]\n  15 -> 34 [size =\"6412288\"]\n  15 -> 39 [size =\"6412288\"]\n  16 [size=\"111575040\", alpha=\"0.01\", expect_size=\"33472512\"] \n  16 -> 30 [size =\"33472512\"]\n  16 -> 35 [size =\"33472512\"]\n  16 -> 38 [size =\"33472512\"]\n  16 -> 40 [size =\"33472512\"]\n  17 [size=\"51609600\", alpha=\"0.05\", expect_size=\"15482880\"] \n  17 -> 30 [size =\"15482880\"]\n  17 -> 38 [size =\"15482880\"]\n  17 -> 38 [size =\"15482880\"]\n  17 -> 40 [size =\"15482880\"]\n  18 [size=\"81988267\", alpha=\"0.13\", expect_size=\"24596480\"] \n  18 -> 37 [size =\"24596480\"]\n  18 -> 38 [size =\"24596480\"]\n  18 -> 40 [size =\"24596480\"]\n  18 -> 40 [size =\"24596480\"]\n  19 [size=\"145943893\", alpha=\"0.14\", expect_size=\"43783168\"] \n  19 -> 40 [size =\"43783168\"]\n  20 [size=\"81035947\", alpha=\"0.12\", expect_size=\"24310784\"] \n  20 -> 34 [size =\"24310784\"]\n  20 -> 35 [size =\"24310784\"]\n  20 -> 36 [size =\"24310784\"]\n  21 [size=\"118203733\", alpha=\"0.00\", expect_size=\"35461120\"] \n  21 -> 30 [size =\"35461120\"]\n  21 -> 31 [size =\"35461120\"]\n  21 -> 33 [size =\"35461120\"]\n  21 -> 40 [size =\"35461120\"]\n  22 [size=\"121978880\", alpha=\"0.07\", expect_size=\"36593664\"] \n  22 -> 30 [size =\"36593664\"]\n  22 -> 38 [size =\"36593664\"]\n  22 -> 40 [size =\"36593664\"]\n  23 [size=\"25313280\", alpha=\"0.07\", expect_size=\"7593984\"] \n  23 -> 30 [size =\"7593984\"]\n  23 -> 37 [size =\"7593984\"]\n  23 -> 38 [size =\"7593984\"]\n  23 -> 40 [size =\"7593984\"]\n  24 [size=\"46407680\", alpha=\"0.19\", expect_size=\"13922304\"] \n  24 -> 30 [size =\"13922304\"]\n  24 -> 33 [size =\"13922304\"]\n  24 -> 34 [size =\"13922304\"]\n  24 -> 38 [size =\"13922304\"]\n  24 -> 40 [size =\"13922304\"]\n  25 [size=\"117053440\", alpha=\"0.06\", expect_size=\"35116032\"] \n  25 -> 35 [size =\"35116032\"]\n  25 -> 38 [size =\"35116032\"]\n  25 -> 40 [size =\"35116032\"]\n  26 [size=\"83387733\", alpha=\"0.12\", expect_size=\"25016320\"] \n  26 -> 30 [size =\"25016320\"]\n  26 -> 33 [size =\"25016320\"]\n  26 -> 39 [size =\"25016320\"]\n  27 [size=\"90821973\", alpha=\"0.01\", expect_size=\"27246592\"] \n  27 -> 30 [size =\"27246592\"]\n  27 -> 33 [size =\"27246592\"]\n  27 -> 34 [size =\"27246592\"]\n  27 -> 35 [size =\"27246592\"]\n  27 -> 39 [size =\"27246592\"]\n  28 [size=\"129597440\", alpha=\"0.20\", expect_size=\"38879232\"] \n  28 -> 38 [size =\"38879232\"]\n  28 -> 39 [size =\"38879232\"]\n  28 -> 40 [size =\"38879232\"]\n  29 [size=\"78168747\", alpha=\"0.16\", expect_size=\"23450624\"] \n  29 -> 35 [size =\"23450624\"]\n  29 -> 38 [size =\"23450624\"]\n  29 -> 39 [size =\"23450624\"]\n  30 [size=\"34140160\", alpha=\"0.10\", expect_size=\"10242048\"] \n  31 [size=\"127842987\", alpha=\"0.17\", expect_size=\"38352896\"] \n  32 [size=\"128914773\", alpha=\"0.07\", expect_size=\"38674432\"] \n  33 [size=\"28108800\", alpha=\"0.01\", expect_size=\"8432640\"] \n  34 [size=\"84316160\", alpha=\"0.04\", expect_size=\"25294848\"] \n  35 [size=\"79380480\", alpha=\"0.08\", expect_size=\"23814144\"] \n  36 [size=\"128576853\", alpha=\"0.03\", expect_size=\"38573056\"] \n  37 [size=\"66580480\", alpha=\"0.03\", expect_size=\"19974144\"] \n  38 [size=\"74806613\", alpha=\"0.11\", expect_size=\"22441984\"] \n  39 [size=\"73147733\", alpha=\"0.15\", expect_size=\"21944320\"] \n  40 [size=\"38966613\", alpha=\"0.08\", expect_size=\"11689984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71075840\", alpha=\"0.00\", expect_size=\"35537920\"] \n  1 -> 27 [size =\"35537920\"]\n  1 -> 28 [size =\"35537920\"]\n  1 -> 29 [size =\"35537920\"]\n  1 -> 30 [size =\"35537920\"]\n  1 -> 31 [size =\"35537920\"]\n  1 -> 34 [size =\"35537920\"]\n  1 -> 36 [size =\"35537920\"]\n  1 -> 39 [size =\"35537920\"]\n  1 -> 40 [size =\"35537920\"]\n  2 [size=\"93945856\", alpha=\"0.12\", expect_size=\"46972928\"] \n  2 -> 26 [size =\"46972928\"]\n  2 -> 27 [size =\"46972928\"]\n  2 -> 29 [size =\"46972928\"]\n  2 -> 30 [size =\"46972928\"]\n  2 -> 33 [size =\"46972928\"]\n  2 -> 35 [size =\"46972928\"]\n  2 -> 36 [size =\"46972928\"]\n  2 -> 38 [size =\"46972928\"]\n  2 -> 39 [size =\"46972928\"]\n  2 -> 40 [size =\"46972928\"]\n  3 [size=\"82065408\", alpha=\"0.05\", expect_size=\"41032704\"] \n  3 -> 26 [size =\"41032704\"]\n  3 -> 27 [size =\"41032704\"]\n  3 -> 28 [size =\"41032704\"]\n  3 -> 29 [size =\"41032704\"]\n  3 -> 30 [size =\"41032704\"]\n  3 -> 33 [size =\"41032704\"]\n  3 -> 36 [size =\"41032704\"]\n  3 -> 37 [size =\"41032704\"]\n  3 -> 38 [size =\"41032704\"]\n  4 [size=\"51861504\", alpha=\"0.04\", expect_size=\"25930752\"] \n  4 -> 26 [size =\"25930752\"]\n  4 -> 27 [size =\"25930752\"]\n  4 -> 28 [size =\"25930752\"]\n  4 -> 29 [size =\"25930752\"]\n  4 -> 30 [size =\"25930752\"]\n  4 -> 33 [size =\"25930752\"]\n  4 -> 34 [size =\"25930752\"]\n  4 -> 36 [size =\"25930752\"]\n  4 -> 37 [size =\"25930752\"]\n  4 -> 38 [size =\"25930752\"]\n  4 -> 40 [size =\"25930752\"]\n  5 [size=\"78229504\", alpha=\"0.19\", expect_size=\"39114752\"] \n  5 -> 26 [size =\"39114752\"]\n  5 -> 27 [size =\"39114752\"]\n  5 -> 28 [size =\"39114752\"]\n  5 -> 29 [size =\"39114752\"]\n  5 -> 30 [size =\"39114752\"]\n  5 -> 33 [size =\"39114752\"]\n  5 -> 34 [size =\"39114752\"]\n  5 -> 36 [size =\"39114752\"]\n  5 -> 37 [size =\"39114752\"]\n  5 -> 40 [size =\"39114752\"]\n  6 [size=\"55724032\", alpha=\"0.19\", expect_size=\"27862016\"] \n  6 -> 26 [size =\"27862016\"]\n  6 -> 27 [size =\"27862016\"]\n  6 -> 28 [size =\"27862016\"]\n  6 -> 29 [size =\"27862016\"]\n  6 -> 30 [size =\"27862016\"]\n  6 -> 34 [size =\"27862016\"]\n  6 -> 35 [size =\"27862016\"]\n  6 -> 36 [size =\"27862016\"]\n  6 -> 39 [size =\"27862016\"]\n  6 -> 40 [size =\"27862016\"]\n  7 [size=\"38813696\", alpha=\"0.02\", expect_size=\"19406848\"] \n  7 -> 26 [size =\"19406848\"]\n  7 -> 27 [size =\"19406848\"]\n  7 -> 28 [size =\"19406848\"]\n  7 -> 33 [size =\"19406848\"]\n  7 -> 36 [size =\"19406848\"]\n  7 -> 37 [size =\"19406848\"]\n  7 -> 40 [size =\"19406848\"]\n  8 [size=\"79884288\", alpha=\"0.07\", expect_size=\"39942144\"] \n  8 -> 27 [size =\"39942144\"]\n  8 -> 27 [size =\"39942144\"]\n  8 -> 28 [size =\"39942144\"]\n  8 -> 29 [size =\"39942144\"]\n  8 -> 32 [size =\"39942144\"]\n  8 -> 39 [size =\"39942144\"]\n  8 -> 40 [size =\"39942144\"]\n  9 [size=\"36759552\", alpha=\"0.06\", expect_size=\"18379776\"] \n  9 -> 26 [size =\"18379776\"]\n  9 -> 27 [size =\"18379776\"]\n  9 -> 28 [size =\"18379776\"]\n  9 -> 29 [size =\"18379776\"]\n  9 -> 33 [size =\"18379776\"]\n  9 -> 34 [size =\"18379776\"]\n  9 -> 37 [size =\"18379776\"]\n  9 -> 40 [size =\"18379776\"]\n  10 [size=\"65099776\", alpha=\"0.13\", expect_size=\"32549888\"] \n  10 -> 26 [size =\"32549888\"]\n  10 -> 27 [size =\"32549888\"]\n  10 -> 28 [size =\"32549888\"]\n  10 -> 29 [size =\"32549888\"]\n  10 -> 30 [size =\"32549888\"]\n  10 -> 33 [size =\"32549888\"]\n  10 -> 34 [size =\"32549888\"]\n  10 -> 36 [size =\"32549888\"]\n  10 -> 38 [size =\"32549888\"]\n  10 -> 39 [size =\"32549888\"]\n  10 -> 40 [size =\"32549888\"]\n  11 [size=\"12529664\", alpha=\"0.12\", expect_size=\"6264832\"] \n  11 -> 26 [size =\"6264832\"]\n  11 -> 28 [size =\"6264832\"]\n  11 -> 29 [size =\"6264832\"]\n  11 -> 29 [size =\"6264832\"]\n  11 -> 30 [size =\"6264832\"]\n  11 -> 33 [size =\"6264832\"]\n  11 -> 34 [size =\"6264832\"]\n  11 -> 36 [size =\"6264832\"]\n  11 -> 40 [size =\"6264832\"]\n  12 [size=\"14241792\", alpha=\"0.03\", expect_size=\"7120896\"] \n  12 -> 26 [size =\"7120896\"]\n  12 -> 27 [size =\"7120896\"]\n  12 -> 33 [size =\"7120896\"]\n  12 -> 34 [size =\"7120896\"]\n  12 -> 38 [size =\"7120896\"]\n  12 -> 40 [size =\"7120896\"]\n  13 [size=\"69064704\", alpha=\"0.02\", expect_size=\"34532352\"] \n  13 -> 25 [size =\"34532352\"]\n  13 -> 26 [size =\"34532352\"]\n  13 -> 27 [size =\"34532352\"]\n  13 -> 30 [size =\"34532352\"]\n  13 -> 33 [size =\"34532352\"]\n  13 -> 34 [size =\"34532352\"]\n  13 -> 37 [size =\"34532352\"]\n  13 -> 40 [size =\"34532352\"]\n  14 [size=\"92663808\", alpha=\"0.04\", expect_size=\"46331904\"] \n  14 -> 26 [size =\"46331904\"]\n  14 -> 26 [size =\"46331904\"]\n  14 -> 28 [size =\"46331904\"]\n  14 -> 29 [size =\"46331904\"]\n  14 -> 34 [size =\"46331904\"]\n  14 -> 34 [size =\"46331904\"]\n  14 -> 36 [size =\"46331904\"]\n  14 -> 40 [size =\"46331904\"]\n  15 [size=\"17272832\", alpha=\"0.10\", expect_size=\"8636416\"] \n  15 -> 26 [size =\"8636416\"]\n  15 -> 27 [size =\"8636416\"]\n  15 -> 30 [size =\"8636416\"]\n  15 -> 33 [size =\"8636416\"]\n  15 -> 34 [size =\"8636416\"]\n  15 -> 35 [size =\"8636416\"]\n  15 -> 36 [size =\"8636416\"]\n  15 -> 38 [size =\"8636416\"]\n  15 -> 40 [size =\"8636416\"]\n  16 [size=\"11694080\", alpha=\"0.13\", expect_size=\"5847040\"] \n  16 -> 27 [size =\"5847040\"]\n  16 -> 30 [size =\"5847040\"]\n  16 -> 31 [size =\"5847040\"]\n  16 -> 36 [size =\"5847040\"]\n  16 -> 38 [size =\"5847040\"]\n  16 -> 40 [size =\"5847040\"]\n  17 [size=\"101156864\", alpha=\"0.09\", expect_size=\"50578432\"] \n  17 -> 27 [size =\"50578432\"]\n  17 -> 29 [size =\"50578432\"]\n  17 -> 30 [size =\"50578432\"]\n  17 -> 33 [size =\"50578432\"]\n  17 -> 36 [size =\"50578432\"]\n  17 -> 38 [size =\"50578432\"]\n  18 [size=\"16787456\", alpha=\"0.07\", expect_size=\"8393728\"] \n  18 -> 28 [size =\"8393728\"]\n  18 -> 29 [size =\"8393728\"]\n  18 -> 30 [size =\"8393728\"]\n  18 -> 32 [size =\"8393728\"]\n  18 -> 33 [size =\"8393728\"]\n  18 -> 34 [size =\"8393728\"]\n  18 -> 36 [size =\"8393728\"]\n  18 -> 39 [size =\"8393728\"]\n  18 -> 40 [size =\"8393728\"]\n  19 [size=\"52127744\", alpha=\"0.16\", expect_size=\"26063872\"] \n  19 -> 27 [size =\"26063872\"]\n  19 -> 28 [size =\"26063872\"]\n  19 -> 29 [size =\"26063872\"]\n  19 -> 30 [size =\"26063872\"]\n  19 -> 33 [size =\"26063872\"]\n  19 -> 34 [size =\"26063872\"]\n  19 -> 35 [size =\"26063872\"]\n  19 -> 36 [size =\"26063872\"]\n  19 -> 39 [size =\"26063872\"]\n  20 [size=\"78938112\", alpha=\"0.08\", expect_size=\"39469056\"] \n  20 -> 26 [size =\"39469056\"]\n  20 -> 28 [size =\"39469056\"]\n  20 -> 29 [size =\"39469056\"]\n  20 -> 30 [size =\"39469056\"]\n  20 -> 33 [size =\"39469056\"]\n  20 -> 38 [size =\"39469056\"]\n  21 [size=\"46170112\", alpha=\"0.14\", expect_size=\"23085056\"] \n  21 -> 28 [size =\"23085056\"]\n  21 -> 28 [size =\"23085056\"]\n  21 -> 30 [size =\"23085056\"]\n  21 -> 30 [size =\"23085056\"]\n  21 -> 33 [size =\"23085056\"]\n  21 -> 34 [size =\"23085056\"]\n  21 -> 36 [size =\"23085056\"]\n  21 -> 38 [size =\"23085056\"]\n  21 -> 40 [size =\"23085056\"]\n  22 [size=\"101302272\", alpha=\"0.17\", expect_size=\"50651136\"] \n  22 -> 26 [size =\"50651136\"]\n  22 -> 27 [size =\"50651136\"]\n  22 -> 28 [size =\"50651136\"]\n  22 -> 30 [size =\"50651136\"]\n  22 -> 36 [size =\"50651136\"]\n  22 -> 39 [size =\"50651136\"]\n  22 -> 40 [size =\"50651136\"]\n  23 [size=\"23144448\", alpha=\"0.15\", expect_size=\"11572224\"] \n  23 -> 26 [size =\"11572224\"]\n  23 -> 28 [size =\"11572224\"]\n  23 -> 30 [size =\"11572224\"]\n  23 -> 32 [size =\"11572224\"]\n  23 -> 33 [size =\"11572224\"]\n  23 -> 34 [size =\"11572224\"]\n  23 -> 36 [size =\"11572224\"]\n  23 -> 37 [size =\"11572224\"]\n  23 -> 40 [size =\"11572224\"]\n  24 [size=\"32086016\", alpha=\"0.02\", expect_size=\"16043008\"] \n  24 -> 29 [size =\"16043008\"]\n  24 -> 30 [size =\"16043008\"]\n  24 -> 30 [size =\"16043008\"]\n  24 -> 34 [size =\"16043008\"]\n  24 -> 36 [size =\"16043008\"]\n  24 -> 37 [size =\"16043008\"]\n  24 -> 40 [size =\"16043008\"]\n  25 [size=\"52670464\", alpha=\"0.03\", expect_size=\"26335232\"] \n  26 [size=\"98050048\", alpha=\"0.14\", expect_size=\"49025024\"] \n  27 [size=\"63733760\", alpha=\"0.10\", expect_size=\"31866880\"] \n  28 [size=\"12111872\", alpha=\"0.02\", expect_size=\"6055936\"] \n  29 [size=\"45037568\", alpha=\"0.19\", expect_size=\"22518784\"] \n  30 [size=\"26015744\", alpha=\"0.08\", expect_size=\"13007872\"] \n  31 [size=\"65562624\", alpha=\"0.17\", expect_size=\"32781312\"] \n  32 [size=\"35526656\", alpha=\"0.07\", expect_size=\"17763328\"] \n  33 [size=\"19367936\", alpha=\"0.09\", expect_size=\"9683968\"] \n  34 [size=\"88668160\", alpha=\"0.09\", expect_size=\"44334080\"] \n  35 [size=\"96059392\", alpha=\"0.10\", expect_size=\"48029696\"] \n  36 [size=\"14915584\", alpha=\"0.11\", expect_size=\"7457792\"] \n  37 [size=\"79220736\", alpha=\"0.12\", expect_size=\"39610368\"] \n  38 [size=\"34187264\", alpha=\"0.14\", expect_size=\"17093632\"] \n  39 [size=\"43585536\", alpha=\"0.05\", expect_size=\"21792768\"] \n  40 [size=\"39321600\", alpha=\"0.10\", expect_size=\"19660800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45357056\", alpha=\"0.15\", expect_size=\"22678528\"] \n  1 -> 5 [size =\"22678528\"]\n  2 [size=\"35270656\", alpha=\"0.06\", expect_size=\"17635328\"] \n  2 -> 5 [size =\"17635328\"]\n  2 -> 6 [size =\"17635328\"]\n  2 -> 8 [size =\"17635328\"]\n  2 -> 9 [size =\"17635328\"]\n  3 [size=\"29536256\", alpha=\"0.16\", expect_size=\"14768128\"] \n  3 -> 6 [size =\"14768128\"]\n  3 -> 8 [size =\"14768128\"]\n  4 [size=\"11354112\", alpha=\"0.15\", expect_size=\"5677056\"] \n  4 -> 7 [size =\"5677056\"]\n  4 -> 8 [size =\"5677056\"]\n  4 -> 10 [size =\"5677056\"]\n  5 [size=\"52649984\", alpha=\"0.00\", expect_size=\"26324992\"] \n  5 -> 12 [size =\"26324992\"]\n  5 -> 13 [size =\"26324992\"]\n  6 [size=\"102981632\", alpha=\"0.17\", expect_size=\"51490816\"] \n  6 -> 15 [size =\"51490816\"]\n  7 [size=\"29464576\", alpha=\"0.19\", expect_size=\"14732288\"] \n  7 -> 11 [size =\"14732288\"]\n  7 -> 12 [size =\"14732288\"]\n  7 -> 13 [size =\"14732288\"]\n  8 [size=\"77512704\", alpha=\"0.01\", expect_size=\"38756352\"] \n  8 -> 13 [size =\"38756352\"]\n  9 [size=\"55781376\", alpha=\"0.02\", expect_size=\"27890688\"] \n  9 -> 11 [size =\"27890688\"]\n  9 -> 13 [size =\"27890688\"]\n  9 -> 14 [size =\"27890688\"]\n  9 -> 15 [size =\"27890688\"]\n  10 [size=\"92278784\", alpha=\"0.18\", expect_size=\"46139392\"] \n  10 -> 12 [size =\"46139392\"]\n  10 -> 14 [size =\"46139392\"]\n  10 -> 15 [size =\"46139392\"]\n  11 [size=\"61263872\", alpha=\"0.10\", expect_size=\"30631936\"] \n  11 -> 16 [size =\"30631936\"]\n  11 -> 19 [size =\"30631936\"]\n  12 [size=\"39471104\", alpha=\"0.19\", expect_size=\"19735552\"] \n  13 [size=\"68192256\", alpha=\"0.12\", expect_size=\"34096128\"] \n  13 -> 17 [size =\"34096128\"]\n  13 -> 18 [size =\"34096128\"]\n  14 [size=\"49618944\", alpha=\"0.13\", expect_size=\"24809472\"] \n  15 [size=\"27908096\", alpha=\"0.01\", expect_size=\"13954048\"] \n  16 [size=\"28743680\", alpha=\"0.08\", expect_size=\"14371840\"] \n  16 -> 23 [size =\"14371840\"]\n  17 [size=\"12605440\", alpha=\"0.15\", expect_size=\"6302720\"] \n  17 -> 20 [size =\"6302720\"]\n  17 -> 23 [size =\"6302720\"]\n  18 [size=\"103514112\", alpha=\"0.12\", expect_size=\"51757056\"] \n  18 -> 22 [size =\"51757056\"]\n  19 [size=\"13533184\", alpha=\"0.14\", expect_size=\"6766592\"] \n  19 -> 20 [size =\"6766592\"]\n  19 -> 21 [size =\"6766592\"]\n  19 -> 22 [size =\"6766592\"]\n  19 -> 24 [size =\"6766592\"]\n  20 [size=\"24432640\", alpha=\"0.12\", expect_size=\"12216320\"] \n  20 -> 29 [size =\"12216320\"]\n  20 -> 31 [size =\"12216320\"]\n  21 [size=\"17059840\", alpha=\"0.18\", expect_size=\"8529920\"] \n  21 -> 25 [size =\"8529920\"]\n  21 -> 26 [size =\"8529920\"]\n  21 -> 27 [size =\"8529920\"]\n  21 -> 28 [size =\"8529920\"]\n  21 -> 31 [size =\"8529920\"]\n  22 [size=\"65220608\", alpha=\"0.09\", expect_size=\"32610304\"] \n  22 -> 26 [size =\"32610304\"]\n  22 -> 30 [size =\"32610304\"]\n  23 [size=\"58787840\", alpha=\"0.04\", expect_size=\"29393920\"] \n  24 [size=\"21858304\", alpha=\"0.19\", expect_size=\"10929152\"] \n  24 -> 25 [size =\"10929152\"]\n  24 -> 29 [size =\"10929152\"]\n  24 -> 31 [size =\"10929152\"]\n  25 [size=\"82714624\", alpha=\"0.03\", expect_size=\"41357312\"] \n  25 -> 34 [size =\"41357312\"]\n  25 -> 36 [size =\"41357312\"]\n  25 -> 37 [size =\"41357312\"]\n  26 [size=\"88713216\", alpha=\"0.07\", expect_size=\"44356608\"] \n  26 -> 32 [size =\"44356608\"]\n  26 -> 34 [size =\"44356608\"]\n  26 -> 35 [size =\"44356608\"]\n  26 -> 36 [size =\"44356608\"]\n  27 [size=\"33183744\", alpha=\"0.15\", expect_size=\"16591872\"] \n  27 -> 32 [size =\"16591872\"]\n  27 -> 34 [size =\"16591872\"]\n  27 -> 35 [size =\"16591872\"]\n  27 -> 38 [size =\"16591872\"]\n  28 [size=\"103450624\", alpha=\"0.17\", expect_size=\"51725312\"] \n  28 -> 34 [size =\"51725312\"]\n  28 -> 35 [size =\"51725312\"]\n  29 [size=\"64675840\", alpha=\"0.08\", expect_size=\"32337920\"] \n  29 -> 38 [size =\"32337920\"]\n  30 [size=\"34537472\", alpha=\"0.17\", expect_size=\"17268736\"] \n  30 -> 32 [size =\"17268736\"]\n  30 -> 33 [size =\"17268736\"]\n  30 -> 38 [size =\"17268736\"]\n  31 [size=\"90968064\", alpha=\"0.17\", expect_size=\"45484032\"] \n  31 -> 32 [size =\"45484032\"]\n  31 -> 35 [size =\"45484032\"]\n  32 [size=\"80097280\", alpha=\"0.03\", expect_size=\"40048640\"] \n  32 -> 40 [size =\"40048640\"]\n  33 [size=\"26710016\", alpha=\"0.01\", expect_size=\"13355008\"] \n  34 [size=\"44230656\", alpha=\"0.07\", expect_size=\"22115328\"] \n  34 -> 39 [size =\"22115328\"]\n  35 [size=\"39155712\", alpha=\"0.17\", expect_size=\"19577856\"] \n  35 -> 39 [size =\"19577856\"]\n  35 -> 40 [size =\"19577856\"]\n  36 [size=\"53649408\", alpha=\"0.11\", expect_size=\"26824704\"] \n  37 [size=\"85835776\", alpha=\"0.05\", expect_size=\"42917888\"] \n  37 -> 40 [size =\"42917888\"]\n  38 [size=\"60325888\", alpha=\"0.19\", expect_size=\"30162944\"] \n  38 -> 40 [size =\"30162944\"]\n  39 [size=\"44142592\", alpha=\"0.14\", expect_size=\"22071296\"] \n  40 [size=\"82585600\", alpha=\"0.12\", expect_size=\"41292800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54417920\", alpha=\"0.15\", expect_size=\"21767168\"] \n  1 -> 24 [size =\"21767168\"]\n  1 -> 25 [size =\"21767168\"]\n  1 -> 27 [size =\"21767168\"]\n  1 -> 29 [size =\"21767168\"]\n  1 -> 39 [size =\"21767168\"]\n  1 -> 40 [size =\"21767168\"]\n  2 [size=\"44369920\", alpha=\"0.05\", expect_size=\"17747968\"] \n  2 -> 35 [size =\"17747968\"]\n  2 -> 39 [size =\"17747968\"]\n  3 [size=\"69447680\", alpha=\"0.06\", expect_size=\"27779072\"] \n  3 -> 24 [size =\"27779072\"]\n  3 -> 28 [size =\"27779072\"]\n  3 -> 35 [size =\"27779072\"]\n  3 -> 37 [size =\"27779072\"]\n  3 -> 40 [size =\"27779072\"]\n  4 [size=\"81879040\", alpha=\"0.08\", expect_size=\"32751616\"] \n  4 -> 28 [size =\"32751616\"]\n  4 -> 30 [size =\"32751616\"]\n  4 -> 37 [size =\"32751616\"]\n  4 -> 39 [size =\"32751616\"]\n  5 [size=\"34462720\", alpha=\"0.13\", expect_size=\"13785088\"] \n  5 -> 24 [size =\"13785088\"]\n  5 -> 34 [size =\"13785088\"]\n  5 -> 37 [size =\"13785088\"]\n  6 [size=\"75983360\", alpha=\"0.12\", expect_size=\"30393344\"] \n  6 -> 25 [size =\"30393344\"]\n  6 -> 29 [size =\"30393344\"]\n  6 -> 30 [size =\"30393344\"]\n  6 -> 31 [size =\"30393344\"]\n  6 -> 32 [size =\"30393344\"]\n  6 -> 33 [size =\"30393344\"]\n  6 -> 37 [size =\"30393344\"]\n  7 [size=\"82232320\", alpha=\"0.08\", expect_size=\"32892928\"] \n  7 -> 29 [size =\"32892928\"]\n  7 -> 30 [size =\"32892928\"]\n  7 -> 32 [size =\"32892928\"]\n  7 -> 37 [size =\"32892928\"]\n  8 [size=\"38581760\", alpha=\"0.16\", expect_size=\"15432704\"] \n  8 -> 26 [size =\"15432704\"]\n  8 -> 27 [size =\"15432704\"]\n  8 -> 28 [size =\"15432704\"]\n  8 -> 39 [size =\"15432704\"]\n  8 -> 40 [size =\"15432704\"]\n  9 [size=\"26465280\", alpha=\"0.03\", expect_size=\"10586112\"] \n  9 -> 28 [size =\"10586112\"]\n  9 -> 32 [size =\"10586112\"]\n  9 -> 34 [size =\"10586112\"]\n  9 -> 35 [size =\"10586112\"]\n  9 -> 38 [size =\"10586112\"]\n  9 -> 39 [size =\"10586112\"]\n  9 -> 40 [size =\"10586112\"]\n  10 [size=\"110950400\", alpha=\"0.09\", expect_size=\"44380160\"] \n  10 -> 25 [size =\"44380160\"]\n  10 -> 27 [size =\"44380160\"]\n  10 -> 29 [size =\"44380160\"]\n  10 -> 34 [size =\"44380160\"]\n  10 -> 40 [size =\"44380160\"]\n  11 [size=\"63132160\", alpha=\"0.03\", expect_size=\"25252864\"] \n  11 -> 40 [size =\"25252864\"]\n  12 [size=\"34045440\", alpha=\"0.14\", expect_size=\"13618176\"] \n  12 -> 34 [size =\"13618176\"]\n  12 -> 39 [size =\"13618176\"]\n  12 -> 40 [size =\"13618176\"]\n  13 [size=\"64704000\", alpha=\"0.09\", expect_size=\"25881600\"] \n  13 -> 25 [size =\"25881600\"]\n  13 -> 27 [size =\"25881600\"]\n  13 -> 29 [size =\"25881600\"]\n  13 -> 33 [size =\"25881600\"]\n  13 -> 34 [size =\"25881600\"]\n  13 -> 40 [size =\"25881600\"]\n  14 [size=\"98478080\", alpha=\"0.03\", expect_size=\"39391232\"] \n  14 -> 24 [size =\"39391232\"]\n  14 -> 25 [size =\"39391232\"]\n  14 -> 34 [size =\"39391232\"]\n  14 -> 39 [size =\"39391232\"]\n  14 -> 40 [size =\"39391232\"]\n  15 [size=\"28410880\", alpha=\"0.15\", expect_size=\"11364352\"] \n  15 -> 28 [size =\"11364352\"]\n  15 -> 34 [size =\"11364352\"]\n  15 -> 39 [size =\"11364352\"]\n  16 [size=\"106780160\", alpha=\"0.03\", expect_size=\"42712064\"] \n  16 -> 34 [size =\"42712064\"]\n  16 -> 39 [size =\"42712064\"]\n  17 [size=\"58572800\", alpha=\"0.04\", expect_size=\"23429120\"] \n  17 -> 25 [size =\"23429120\"]\n  17 -> 27 [size =\"23429120\"]\n  17 -> 29 [size =\"23429120\"]\n  17 -> 39 [size =\"23429120\"]\n  17 -> 40 [size =\"23429120\"]\n  18 [size=\"107166720\", alpha=\"0.20\", expect_size=\"42866688\"] \n  18 -> 27 [size =\"42866688\"]\n  18 -> 29 [size =\"42866688\"]\n  19 [size=\"81766400\", alpha=\"0.04\", expect_size=\"32706560\"] \n  19 -> 27 [size =\"32706560\"]\n  19 -> 34 [size =\"32706560\"]\n  20 [size=\"98869760\", alpha=\"0.06\", expect_size=\"39547904\"] \n  20 -> 24 [size =\"39547904\"]\n  20 -> 28 [size =\"39547904\"]\n  20 -> 29 [size =\"39547904\"]\n  20 -> 34 [size =\"39547904\"]\n  20 -> 36 [size =\"39547904\"]\n  21 [size=\"33318400\", alpha=\"0.14\", expect_size=\"13327360\"] \n  21 -> 27 [size =\"13327360\"]\n  21 -> 29 [size =\"13327360\"]\n  21 -> 30 [size =\"13327360\"]\n  21 -> 31 [size =\"13327360\"]\n  21 -> 32 [size =\"13327360\"]\n  21 -> 34 [size =\"13327360\"]\n  21 -> 35 [size =\"13327360\"]\n  21 -> 40 [size =\"13327360\"]\n  22 [size=\"51317760\", alpha=\"0.08\", expect_size=\"20527104\"] \n  22 -> 34 [size =\"20527104\"]\n  22 -> 35 [size =\"20527104\"]\n  22 -> 38 [size =\"20527104\"]\n  22 -> 40 [size =\"20527104\"]\n  23 [size=\"13557760\", alpha=\"0.11\", expect_size=\"5423104\"] \n  23 -> 25 [size =\"5423104\"]\n  23 -> 29 [size =\"5423104\"]\n  23 -> 35 [size =\"5423104\"]\n  23 -> 37 [size =\"5423104\"]\n  24 [size=\"65018880\", alpha=\"0.06\", expect_size=\"26007552\"] \n  25 [size=\"83717120\", alpha=\"0.04\", expect_size=\"33486848\"] \n  26 [size=\"54481920\", alpha=\"0.14\", expect_size=\"21792768\"] \n  27 [size=\"74741760\", alpha=\"0.14\", expect_size=\"29896704\"] \n  28 [size=\"97751040\", alpha=\"0.20\", expect_size=\"39100416\"] \n  29 [size=\"97451520\", alpha=\"0.07\", expect_size=\"38980608\"] \n  30 [size=\"122849280\", alpha=\"0.11\", expect_size=\"49139712\"] \n  31 [size=\"38407680\", alpha=\"0.04\", expect_size=\"15363072\"] \n  32 [size=\"121369600\", alpha=\"0.20\", expect_size=\"48547840\"] \n  33 [size=\"49103360\", alpha=\"0.05\", expect_size=\"19641344\"] \n  34 [size=\"113884160\", alpha=\"0.04\", expect_size=\"45553664\"] \n  35 [size=\"30589440\", alpha=\"0.06\", expect_size=\"12235776\"] \n  36 [size=\"56501760\", alpha=\"0.04\", expect_size=\"22600704\"] \n  37 [size=\"18575360\", alpha=\"0.09\", expect_size=\"7430144\"] \n  38 [size=\"103895040\", alpha=\"0.11\", expect_size=\"41558016\"] \n  39 [size=\"102010880\", alpha=\"0.04\", expect_size=\"40804352\"] \n  40 [size=\"26283520\", alpha=\"0.11\", expect_size=\"10513408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54018048\", alpha=\"0.13\", expect_size=\"27009024\"] \n  1 -> 25 [size =\"27009024\"]\n  1 -> 26 [size =\"27009024\"]\n  1 -> 27 [size =\"27009024\"]\n  1 -> 29 [size =\"27009024\"]\n  1 -> 32 [size =\"27009024\"]\n  1 -> 33 [size =\"27009024\"]\n  1 -> 34 [size =\"27009024\"]\n  1 -> 35 [size =\"27009024\"]\n  2 [size=\"77821952\", alpha=\"0.07\", expect_size=\"38910976\"] \n  2 -> 25 [size =\"38910976\"]\n  2 -> 26 [size =\"38910976\"]\n  2 -> 29 [size =\"38910976\"]\n  2 -> 29 [size =\"38910976\"]\n  2 -> 34 [size =\"38910976\"]\n  2 -> 36 [size =\"38910976\"]\n  2 -> 37 [size =\"38910976\"]\n  2 -> 39 [size =\"38910976\"]\n  2 -> 40 [size =\"38910976\"]\n  3 [size=\"66799616\", alpha=\"0.16\", expect_size=\"33399808\"] \n  3 -> 25 [size =\"33399808\"]\n  3 -> 26 [size =\"33399808\"]\n  3 -> 28 [size =\"33399808\"]\n  3 -> 32 [size =\"33399808\"]\n  3 -> 33 [size =\"33399808\"]\n  3 -> 35 [size =\"33399808\"]\n  3 -> 36 [size =\"33399808\"]\n  4 [size=\"96972800\", alpha=\"0.10\", expect_size=\"48486400\"] \n  4 -> 25 [size =\"48486400\"]\n  4 -> 26 [size =\"48486400\"]\n  4 -> 27 [size =\"48486400\"]\n  4 -> 28 [size =\"48486400\"]\n  4 -> 32 [size =\"48486400\"]\n  4 -> 36 [size =\"48486400\"]\n  5 [size=\"27070464\", alpha=\"0.01\", expect_size=\"13535232\"] \n  5 -> 25 [size =\"13535232\"]\n  5 -> 26 [size =\"13535232\"]\n  5 -> 28 [size =\"13535232\"]\n  5 -> 29 [size =\"13535232\"]\n  5 -> 30 [size =\"13535232\"]\n  5 -> 34 [size =\"13535232\"]\n  5 -> 37 [size =\"13535232\"]\n  6 [size=\"17588224\", alpha=\"0.09\", expect_size=\"8794112\"] \n  6 -> 25 [size =\"8794112\"]\n  6 -> 28 [size =\"8794112\"]\n  6 -> 29 [size =\"8794112\"]\n  6 -> 29 [size =\"8794112\"]\n  6 -> 32 [size =\"8794112\"]\n  6 -> 34 [size =\"8794112\"]\n  6 -> 38 [size =\"8794112\"]\n  7 [size=\"80990208\", alpha=\"0.17\", expect_size=\"40495104\"] \n  7 -> 25 [size =\"40495104\"]\n  7 -> 29 [size =\"40495104\"]\n  7 -> 29 [size =\"40495104\"]\n  7 -> 30 [size =\"40495104\"]\n  7 -> 32 [size =\"40495104\"]\n  7 -> 33 [size =\"40495104\"]\n  7 -> 34 [size =\"40495104\"]\n  7 -> 37 [size =\"40495104\"]\n  7 -> 39 [size =\"40495104\"]\n  8 [size=\"102760448\", alpha=\"0.05\", expect_size=\"51380224\"] \n  8 -> 25 [size =\"51380224\"]\n  8 -> 27 [size =\"51380224\"]\n  8 -> 29 [size =\"51380224\"]\n  8 -> 30 [size =\"51380224\"]\n  8 -> 32 [size =\"51380224\"]\n  8 -> 34 [size =\"51380224\"]\n  8 -> 40 [size =\"51380224\"]\n  9 [size=\"15792128\", alpha=\"0.17\", expect_size=\"7896064\"] \n  9 -> 25 [size =\"7896064\"]\n  9 -> 28 [size =\"7896064\"]\n  9 -> 29 [size =\"7896064\"]\n  9 -> 32 [size =\"7896064\"]\n  9 -> 32 [size =\"7896064\"]\n  9 -> 33 [size =\"7896064\"]\n  9 -> 34 [size =\"7896064\"]\n  9 -> 35 [size =\"7896064\"]\n  9 -> 36 [size =\"7896064\"]\n  9 -> 40 [size =\"7896064\"]\n  10 [size=\"103460864\", alpha=\"0.18\", expect_size=\"51730432\"] \n  10 -> 25 [size =\"51730432\"]\n  10 -> 28 [size =\"51730432\"]\n  10 -> 30 [size =\"51730432\"]\n  10 -> 32 [size =\"51730432\"]\n  10 -> 36 [size =\"51730432\"]\n  10 -> 40 [size =\"51730432\"]\n  11 [size=\"49332224\", alpha=\"0.15\", expect_size=\"24666112\"] \n  11 -> 25 [size =\"24666112\"]\n  11 -> 26 [size =\"24666112\"]\n  11 -> 27 [size =\"24666112\"]\n  11 -> 29 [size =\"24666112\"]\n  11 -> 32 [size =\"24666112\"]\n  11 -> 34 [size =\"24666112\"]\n  11 -> 35 [size =\"24666112\"]\n  11 -> 40 [size =\"24666112\"]\n  12 [size=\"14254080\", alpha=\"0.10\", expect_size=\"7127040\"] \n  12 -> 25 [size =\"7127040\"]\n  12 -> 26 [size =\"7127040\"]\n  12 -> 28 [size =\"7127040\"]\n  12 -> 30 [size =\"7127040\"]\n  12 -> 32 [size =\"7127040\"]\n  12 -> 35 [size =\"7127040\"]\n  12 -> 37 [size =\"7127040\"]\n  12 -> 38 [size =\"7127040\"]\n  12 -> 40 [size =\"7127040\"]\n  13 [size=\"48054272\", alpha=\"0.19\", expect_size=\"24027136\"] \n  13 -> 25 [size =\"24027136\"]\n  13 -> 27 [size =\"24027136\"]\n  13 -> 31 [size =\"24027136\"]\n  13 -> 32 [size =\"24027136\"]\n  13 -> 32 [size =\"24027136\"]\n  13 -> 34 [size =\"24027136\"]\n  13 -> 36 [size =\"24027136\"]\n  13 -> 38 [size =\"24027136\"]\n  13 -> 40 [size =\"24027136\"]\n  14 [size=\"30615552\", alpha=\"0.19\", expect_size=\"15307776\"] \n  14 -> 27 [size =\"15307776\"]\n  14 -> 28 [size =\"15307776\"]\n  14 -> 29 [size =\"15307776\"]\n  14 -> 31 [size =\"15307776\"]\n  14 -> 32 [size =\"15307776\"]\n  14 -> 33 [size =\"15307776\"]\n  14 -> 37 [size =\"15307776\"]\n  14 -> 38 [size =\"15307776\"]\n  15 [size=\"79839232\", alpha=\"0.10\", expect_size=\"39919616\"] \n  15 -> 27 [size =\"39919616\"]\n  15 -> 28 [size =\"39919616\"]\n  15 -> 29 [size =\"39919616\"]\n  15 -> 31 [size =\"39919616\"]\n  15 -> 34 [size =\"39919616\"]\n  15 -> 37 [size =\"39919616\"]\n  16 [size=\"83814400\", alpha=\"0.06\", expect_size=\"41907200\"] \n  16 -> 25 [size =\"41907200\"]\n  16 -> 28 [size =\"41907200\"]\n  16 -> 30 [size =\"41907200\"]\n  16 -> 31 [size =\"41907200\"]\n  16 -> 32 [size =\"41907200\"]\n  16 -> 36 [size =\"41907200\"]\n  16 -> 37 [size =\"41907200\"]\n  16 -> 40 [size =\"41907200\"]\n  17 [size=\"30265344\", alpha=\"0.19\", expect_size=\"15132672\"] \n  17 -> 25 [size =\"15132672\"]\n  17 -> 26 [size =\"15132672\"]\n  17 -> 28 [size =\"15132672\"]\n  17 -> 29 [size =\"15132672\"]\n  17 -> 32 [size =\"15132672\"]\n  17 -> 33 [size =\"15132672\"]\n  17 -> 37 [size =\"15132672\"]\n  17 -> 38 [size =\"15132672\"]\n  17 -> 39 [size =\"15132672\"]\n  18 [size=\"15048704\", alpha=\"0.05\", expect_size=\"7524352\"] \n  18 -> 28 [size =\"7524352\"]\n  18 -> 29 [size =\"7524352\"]\n  18 -> 32 [size =\"7524352\"]\n  18 -> 33 [size =\"7524352\"]\n  18 -> 34 [size =\"7524352\"]\n  19 [size=\"40415232\", alpha=\"0.08\", expect_size=\"20207616\"] \n  19 -> 28 [size =\"20207616\"]\n  19 -> 29 [size =\"20207616\"]\n  19 -> 31 [size =\"20207616\"]\n  19 -> 33 [size =\"20207616\"]\n  19 -> 34 [size =\"20207616\"]\n  19 -> 40 [size =\"20207616\"]\n  20 [size=\"27265024\", alpha=\"0.05\", expect_size=\"13632512\"] \n  20 -> 25 [size =\"13632512\"]\n  20 -> 28 [size =\"13632512\"]\n  20 -> 29 [size =\"13632512\"]\n  20 -> 30 [size =\"13632512\"]\n  20 -> 33 [size =\"13632512\"]\n  20 -> 34 [size =\"13632512\"]\n  20 -> 36 [size =\"13632512\"]\n  20 -> 37 [size =\"13632512\"]\n  20 -> 40 [size =\"13632512\"]\n  21 [size=\"16203776\", alpha=\"0.10\", expect_size=\"8101888\"] \n  21 -> 25 [size =\"8101888\"]\n  21 -> 27 [size =\"8101888\"]\n  21 -> 28 [size =\"8101888\"]\n  21 -> 33 [size =\"8101888\"]\n  21 -> 36 [size =\"8101888\"]\n  21 -> 37 [size =\"8101888\"]\n  21 -> 38 [size =\"8101888\"]\n  21 -> 40 [size =\"8101888\"]\n  22 [size=\"85893120\", alpha=\"0.11\", expect_size=\"42946560\"] \n  22 -> 25 [size =\"42946560\"]\n  22 -> 28 [size =\"42946560\"]\n  22 -> 28 [size =\"42946560\"]\n  22 -> 30 [size =\"42946560\"]\n  22 -> 34 [size =\"42946560\"]\n  22 -> 35 [size =\"42946560\"]\n  22 -> 37 [size =\"42946560\"]\n  23 [size=\"38359040\", alpha=\"0.03\", expect_size=\"19179520\"] \n  23 -> 25 [size =\"19179520\"]\n  23 -> 29 [size =\"19179520\"]\n  23 -> 32 [size =\"19179520\"]\n  23 -> 33 [size =\"19179520\"]\n  23 -> 34 [size =\"19179520\"]\n  23 -> 36 [size =\"19179520\"]\n  23 -> 37 [size =\"19179520\"]\n  23 -> 40 [size =\"19179520\"]\n  24 [size=\"31948800\", alpha=\"0.13\", expect_size=\"15974400\"] \n  24 -> 29 [size =\"15974400\"]\n  24 -> 30 [size =\"15974400\"]\n  24 -> 33 [size =\"15974400\"]\n  24 -> 34 [size =\"15974400\"]\n  24 -> 37 [size =\"15974400\"]\n  24 -> 40 [size =\"15974400\"]\n  25 [size=\"29009920\", alpha=\"0.07\", expect_size=\"14504960\"] \n  26 [size=\"75808768\", alpha=\"0.02\", expect_size=\"37904384\"] \n  27 [size=\"11509760\", alpha=\"0.13\", expect_size=\"5754880\"] \n  28 [size=\"103073792\", alpha=\"0.03\", expect_size=\"51536896\"] \n  29 [size=\"32792576\", alpha=\"0.14\", expect_size=\"16396288\"] \n  30 [size=\"69763072\", alpha=\"0.05\", expect_size=\"34881536\"] \n  31 [size=\"91023360\", alpha=\"0.04\", expect_size=\"45511680\"] \n  32 [size=\"45735936\", alpha=\"0.04\", expect_size=\"22867968\"] \n  33 [size=\"95608832\", alpha=\"0.11\", expect_size=\"47804416\"] \n  34 [size=\"13842432\", alpha=\"0.03\", expect_size=\"6921216\"] \n  35 [size=\"75665408\", alpha=\"0.10\", expect_size=\"37832704\"] \n  36 [size=\"14553088\", alpha=\"0.12\", expect_size=\"7276544\"] \n  37 [size=\"26349568\", alpha=\"0.19\", expect_size=\"13174784\"] \n  38 [size=\"87187456\", alpha=\"0.06\", expect_size=\"43593728\"] \n  39 [size=\"100599808\", alpha=\"0.00\", expect_size=\"50299904\"] \n  40 [size=\"71895040\", alpha=\"0.17\", expect_size=\"35947520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87326720\", alpha=\"0.02\", expect_size=\"26198016\"] \n  1 -> 11 [size =\"26198016\"]\n  2 [size=\"69239467\", alpha=\"0.07\", expect_size=\"20771840\"] \n  3 [size=\"36184747\", alpha=\"0.19\", expect_size=\"10855424\"] \n  3 -> 8 [size =\"10855424\"]\n  4 [size=\"80029013\", alpha=\"0.04\", expect_size=\"24008704\"] \n  5 [size=\"134956373\", alpha=\"0.05\", expect_size=\"40486912\"] \n  5 -> 10 [size =\"40486912\"]\n  6 [size=\"54108160\", alpha=\"0.05\", expect_size=\"16232448\"] \n  7 [size=\"129672533\", alpha=\"0.00\", expect_size=\"38901760\"] \n  7 -> 9 [size =\"38901760\"]\n  7 -> 10 [size =\"38901760\"]\n  7 -> 11 [size =\"38901760\"]\n  8 [size=\"21947733\", alpha=\"0.01\", expect_size=\"6584320\"] \n  8 -> 13 [size =\"6584320\"]\n  8 -> 15 [size =\"6584320\"]\n  9 [size=\"137543680\", alpha=\"0.12\", expect_size=\"41263104\"] \n  9 -> 12 [size =\"41263104\"]\n  9 -> 15 [size =\"41263104\"]\n  9 -> 16 [size =\"41263104\"]\n  10 [size=\"136147627\", alpha=\"0.05\", expect_size=\"40844288\"] \n  10 -> 13 [size =\"40844288\"]\n  10 -> 14 [size =\"40844288\"]\n  10 -> 15 [size =\"40844288\"]\n  11 [size=\"53439147\", alpha=\"0.09\", expect_size=\"16031744\"] \n  11 -> 12 [size =\"16031744\"]\n  11 -> 13 [size =\"16031744\"]\n  11 -> 14 [size =\"16031744\"]\n  11 -> 17 [size =\"16031744\"]\n  12 [size=\"68884480\", alpha=\"0.14\", expect_size=\"20665344\"] \n  12 -> 19 [size =\"20665344\"]\n  12 -> 21 [size =\"20665344\"]\n  12 -> 25 [size =\"20665344\"]\n  13 [size=\"120975360\", alpha=\"0.07\", expect_size=\"36292608\"] \n  13 -> 18 [size =\"36292608\"]\n  13 -> 19 [size =\"36292608\"]\n  13 -> 20 [size =\"36292608\"]\n  14 [size=\"110991360\", alpha=\"0.09\", expect_size=\"33297408\"] \n  14 -> 22 [size =\"33297408\"]\n  14 -> 23 [size =\"33297408\"]\n  15 [size=\"142080000\", alpha=\"0.16\", expect_size=\"42624000\"] \n  15 -> 22 [size =\"42624000\"]\n  16 [size=\"23558827\", alpha=\"0.11\", expect_size=\"7067648\"] \n  16 -> 21 [size =\"7067648\"]\n  16 -> 22 [size =\"7067648\"]\n  16 -> 24 [size =\"7067648\"]\n  16 -> 25 [size =\"7067648\"]\n  17 [size=\"59456853\", alpha=\"0.20\", expect_size=\"17837056\"] \n  17 -> 21 [size =\"17837056\"]\n  17 -> 22 [size =\"17837056\"]\n  18 [size=\"60825600\", alpha=\"0.12\", expect_size=\"18247680\"] \n  18 -> 26 [size =\"18247680\"]\n  18 -> 28 [size =\"18247680\"]\n  18 -> 33 [size =\"18247680\"]\n  19 [size=\"67672747\", alpha=\"0.09\", expect_size=\"20301824\"] \n  19 -> 27 [size =\"20301824\"]\n  19 -> 29 [size =\"20301824\"]\n  19 -> 33 [size =\"20301824\"]\n  20 [size=\"163031040\", alpha=\"0.06\", expect_size=\"48909312\"] \n  20 -> 26 [size =\"48909312\"]\n  20 -> 27 [size =\"48909312\"]\n  20 -> 30 [size =\"48909312\"]\n  20 -> 32 [size =\"48909312\"]\n  20 -> 33 [size =\"48909312\"]\n  21 [size=\"46168747\", alpha=\"0.11\", expect_size=\"13850624\"] \n  21 -> 30 [size =\"13850624\"]\n  21 -> 31 [size =\"13850624\"]\n  22 [size=\"118456320\", alpha=\"0.04\", expect_size=\"35536896\"] \n  22 -> 26 [size =\"35536896\"]\n  22 -> 30 [size =\"35536896\"]\n  22 -> 31 [size =\"35536896\"]\n  23 [size=\"70314667\", alpha=\"0.18\", expect_size=\"21094400\"] \n  23 -> 26 [size =\"21094400\"]\n  23 -> 30 [size =\"21094400\"]\n  24 [size=\"124743680\", alpha=\"0.01\", expect_size=\"37423104\"] \n  24 -> 26 [size =\"37423104\"]\n  24 -> 32 [size =\"37423104\"]\n  24 -> 33 [size =\"37423104\"]\n  25 [size=\"36966400\", alpha=\"0.18\", expect_size=\"11089920\"] \n  25 -> 30 [size =\"11089920\"]\n  25 -> 33 [size =\"11089920\"]\n  26 [size=\"166656000\", alpha=\"0.01\", expect_size=\"49996800\"] \n  26 -> 36 [size =\"49996800\"]\n  26 -> 39 [size =\"49996800\"]\n  27 [size=\"93327360\", alpha=\"0.17\", expect_size=\"27998208\"] \n  27 -> 36 [size =\"27998208\"]\n  27 -> 38 [size =\"27998208\"]\n  27 -> 39 [size =\"27998208\"]\n  28 [size=\"92846080\", alpha=\"0.14\", expect_size=\"27853824\"] \n  28 -> 34 [size =\"27853824\"]\n  28 -> 35 [size =\"27853824\"]\n  28 -> 38 [size =\"27853824\"]\n  29 [size=\"29139627\", alpha=\"0.07\", expect_size=\"8741888\"] \n  29 -> 34 [size =\"8741888\"]\n  29 -> 35 [size =\"8741888\"]\n  29 -> 36 [size =\"8741888\"]\n  30 [size=\"98788693\", alpha=\"0.14\", expect_size=\"29636608\"] \n  30 -> 39 [size =\"29636608\"]\n  31 [size=\"143407787\", alpha=\"0.06\", expect_size=\"43022336\"] \n  31 -> 34 [size =\"43022336\"]\n  32 [size=\"75564373\", alpha=\"0.04\", expect_size=\"22669312\"] \n  32 -> 37 [size =\"22669312\"]\n  32 -> 39 [size =\"22669312\"]\n  33 [size=\"104304640\", alpha=\"0.16\", expect_size=\"31291392\"] \n  33 -> 36 [size =\"31291392\"]\n  33 -> 39 [size =\"31291392\"]\n  34 [size=\"91057493\", alpha=\"0.20\", expect_size=\"27317248\"] \n  34 -> 40 [size =\"27317248\"]\n  35 [size=\"98375680\", alpha=\"0.19\", expect_size=\"29512704\"] \n  36 [size=\"86456320\", alpha=\"0.19\", expect_size=\"25936896\"] \n  36 -> 40 [size =\"25936896\"]\n  37 [size=\"91934720\", alpha=\"0.05\", expect_size=\"27580416\"] \n  38 [size=\"69724160\", alpha=\"0.16\", expect_size=\"20917248\"] \n  39 [size=\"24296107\", alpha=\"0.13\", expect_size=\"7288832\"] \n  40 [size=\"75721387\", alpha=\"0.09\", expect_size=\"22716416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89311232\", alpha=\"0.06\", expect_size=\"44655616\"] \n  1 -> 2 [size =\"44655616\"]\n  2 [size=\"13625344\", alpha=\"0.19\", expect_size=\"6812672\"] \n  2 -> 3 [size =\"6812672\"]\n  3 [size=\"11646976\", alpha=\"0.15\", expect_size=\"5823488\"] \n  3 -> 4 [size =\"5823488\"]\n  4 [size=\"71782400\", alpha=\"0.11\", expect_size=\"35891200\"] \n  4 -> 5 [size =\"35891200\"]\n  5 [size=\"94607360\", alpha=\"0.05\", expect_size=\"47303680\"] \n  5 -> 6 [size =\"47303680\"]\n  6 [size=\"102586368\", alpha=\"0.17\", expect_size=\"51293184\"] \n  6 -> 7 [size =\"51293184\"]\n  7 [size=\"55836672\", alpha=\"0.05\", expect_size=\"27918336\"] \n  7 -> 8 [size =\"27918336\"]\n  8 [size=\"40802304\", alpha=\"0.05\", expect_size=\"20401152\"] \n  8 -> 9 [size =\"20401152\"]\n  9 [size=\"51472384\", alpha=\"0.08\", expect_size=\"25736192\"] \n  9 -> 10 [size =\"25736192\"]\n  10 [size=\"22024192\", alpha=\"0.08\", expect_size=\"11012096\"] \n  10 -> 11 [size =\"11012096\"]\n  11 [size=\"88451072\", alpha=\"0.03\", expect_size=\"44225536\"] \n  11 -> 12 [size =\"44225536\"]\n  12 [size=\"20572160\", alpha=\"0.06\", expect_size=\"10286080\"] \n  12 -> 13 [size =\"10286080\"]\n  13 [size=\"16396288\", alpha=\"0.04\", expect_size=\"8198144\"] \n  13 -> 14 [size =\"8198144\"]\n  14 [size=\"88993792\", alpha=\"0.03\", expect_size=\"44496896\"] \n  14 -> 15 [size =\"44496896\"]\n  15 [size=\"44677120\", alpha=\"0.01\", expect_size=\"22338560\"] \n  15 -> 16 [size =\"22338560\"]\n  16 [size=\"70451200\", alpha=\"0.02\", expect_size=\"35225600\"] \n  16 -> 17 [size =\"35225600\"]\n  17 [size=\"57362432\", alpha=\"0.20\", expect_size=\"28681216\"] \n  17 -> 18 [size =\"28681216\"]\n  18 [size=\"79818752\", alpha=\"0.09\", expect_size=\"39909376\"] \n  18 -> 19 [size =\"39909376\"]\n  19 [size=\"10661888\", alpha=\"0.09\", expect_size=\"5330944\"] \n  19 -> 20 [size =\"5330944\"]\n  20 [size=\"46821376\", alpha=\"0.15\", expect_size=\"23410688\"] \n  20 -> 21 [size =\"23410688\"]\n  21 [size=\"85020672\", alpha=\"0.19\", expect_size=\"42510336\"] \n  21 -> 22 [size =\"42510336\"]\n  22 [size=\"96983040\", alpha=\"0.03\", expect_size=\"48491520\"] \n  22 -> 23 [size =\"48491520\"]\n  23 [size=\"31713280\", alpha=\"0.07\", expect_size=\"15856640\"] \n  23 -> 24 [size =\"15856640\"]\n  24 [size=\"48267264\", alpha=\"0.04\", expect_size=\"24133632\"] \n  24 -> 25 [size =\"24133632\"]\n  25 [size=\"63318016\", alpha=\"0.19\", expect_size=\"31659008\"] \n  25 -> 26 [size =\"31659008\"]\n  26 [size=\"68173824\", alpha=\"0.14\", expect_size=\"34086912\"] \n  26 -> 27 [size =\"34086912\"]\n  27 [size=\"78905344\", alpha=\"0.18\", expect_size=\"39452672\"] \n  27 -> 28 [size =\"39452672\"]\n  28 [size=\"78098432\", alpha=\"0.08\", expect_size=\"39049216\"] \n  28 -> 29 [size =\"39049216\"]\n  29 [size=\"26208256\", alpha=\"0.08\", expect_size=\"13104128\"] \n  29 -> 30 [size =\"13104128\"]\n  30 [size=\"67209216\", alpha=\"0.09\", expect_size=\"33604608\"] \n  30 -> 31 [size =\"33604608\"]\n  31 [size=\"44986368\", alpha=\"0.08\", expect_size=\"22493184\"] \n  31 -> 32 [size =\"22493184\"]\n  32 [size=\"38367232\", alpha=\"0.08\", expect_size=\"19183616\"] \n  32 -> 33 [size =\"19183616\"]\n  33 [size=\"50491392\", alpha=\"0.10\", expect_size=\"25245696\"] \n  33 -> 34 [size =\"25245696\"]\n  34 [size=\"82522112\", alpha=\"0.08\", expect_size=\"41261056\"] \n  34 -> 35 [size =\"41261056\"]\n  35 [size=\"101386240\", alpha=\"0.13\", expect_size=\"50693120\"] \n  35 -> 36 [size =\"50693120\"]\n  36 [size=\"96831488\", alpha=\"0.12\", expect_size=\"48415744\"] \n  36 -> 37 [size =\"48415744\"]\n  37 [size=\"66590720\", alpha=\"0.20\", expect_size=\"33295360\"] \n  37 -> 38 [size =\"33295360\"]\n  38 [size=\"56014848\", alpha=\"0.03\", expect_size=\"28007424\"] \n  38 -> 39 [size =\"28007424\"]\n  39 [size=\"95420416\", alpha=\"0.06\", expect_size=\"47710208\"] \n  39 -> 40 [size =\"47710208\"]\n  40 [size=\"37054464\", alpha=\"0.16\", expect_size=\"18527232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80494080\", alpha=\"0.07\", expect_size=\"32197632\"] \n  1 -> 3 [size =\"32197632\"]\n  1 -> 5 [size =\"32197632\"]\n  2 [size=\"29596160\", alpha=\"0.04\", expect_size=\"11838464\"] \n  2 -> 4 [size =\"11838464\"]\n  3 [size=\"92615680\", alpha=\"0.18\", expect_size=\"37046272\"] \n  3 -> 7 [size =\"37046272\"]\n  4 [size=\"97648640\", alpha=\"0.16\", expect_size=\"39059456\"] \n  4 -> 6 [size =\"39059456\"]\n  4 -> 7 [size =\"39059456\"]\n  4 -> 8 [size =\"39059456\"]\n  5 [size=\"33136640\", alpha=\"0.09\", expect_size=\"13254656\"] \n  5 -> 8 [size =\"13254656\"]\n  6 [size=\"107829760\", alpha=\"0.11\", expect_size=\"43131904\"] \n  6 -> 9 [size =\"43131904\"]\n  7 [size=\"13288960\", alpha=\"0.17\", expect_size=\"5315584\"] \n  7 -> 10 [size =\"5315584\"]\n  7 -> 11 [size =\"5315584\"]\n  8 [size=\"104189440\", alpha=\"0.19\", expect_size=\"41675776\"] \n  8 -> 9 [size =\"41675776\"]\n  9 [size=\"120419840\", alpha=\"0.01\", expect_size=\"48167936\"] \n  9 -> 12 [size =\"48167936\"]\n  10 [size=\"103959040\", alpha=\"0.14\", expect_size=\"41583616\"] \n  10 -> 13 [size =\"41583616\"]\n  11 [size=\"114560000\", alpha=\"0.04\", expect_size=\"45824000\"] \n  12 [size=\"39293440\", alpha=\"0.13\", expect_size=\"15717376\"] \n  13 [size=\"62397440\", alpha=\"0.11\", expect_size=\"24958976\"] \n  13 -> 14 [size =\"24958976\"]\n  14 [size=\"51737600\", alpha=\"0.06\", expect_size=\"20695040\"] \n  14 -> 15 [size =\"20695040\"]\n  14 -> 16 [size =\"20695040\"]\n  15 [size=\"26636800\", alpha=\"0.12\", expect_size=\"10654720\"] \n  15 -> 17 [size =\"10654720\"]\n  16 [size=\"80547840\", alpha=\"0.05\", expect_size=\"32219136\"] \n  17 [size=\"27617280\", alpha=\"0.19\", expect_size=\"11046912\"] \n  17 -> 18 [size =\"11046912\"]\n  17 -> 19 [size =\"11046912\"]\n  18 [size=\"129881600\", alpha=\"0.20\", expect_size=\"51952640\"] \n  18 -> 21 [size =\"51952640\"]\n  18 -> 22 [size =\"51952640\"]\n  19 [size=\"121292800\", alpha=\"0.15\", expect_size=\"48517120\"] \n  19 -> 20 [size =\"48517120\"]\n  20 [size=\"128929280\", alpha=\"0.16\", expect_size=\"51571712\"] \n  20 -> 23 [size =\"51571712\"]\n  20 -> 24 [size =\"51571712\"]\n  21 [size=\"92523520\", alpha=\"0.08\", expect_size=\"37009408\"] \n  21 -> 23 [size =\"37009408\"]\n  22 [size=\"118586880\", alpha=\"0.03\", expect_size=\"47434752\"] \n  22 -> 24 [size =\"47434752\"]\n  23 [size=\"80204800\", alpha=\"0.11\", expect_size=\"32081920\"] \n  23 -> 25 [size =\"32081920\"]\n  24 [size=\"28226560\", alpha=\"0.14\", expect_size=\"11290624\"] \n  25 [size=\"62074880\", alpha=\"0.20\", expect_size=\"24829952\"] \n  25 -> 26 [size =\"24829952\"]\n  26 [size=\"13742080\", alpha=\"0.02\", expect_size=\"5496832\"] \n  26 -> 27 [size =\"5496832\"]\n  26 -> 28 [size =\"5496832\"]\n  26 -> 29 [size =\"5496832\"]\n  27 [size=\"43755520\", alpha=\"0.04\", expect_size=\"17502208\"] \n  27 -> 30 [size =\"17502208\"]\n  28 [size=\"38149120\", alpha=\"0.01\", expect_size=\"15259648\"] \n  29 [size=\"37964800\", alpha=\"0.17\", expect_size=\"15185920\"] \n  30 [size=\"128424960\", alpha=\"0.08\", expect_size=\"51369984\"] \n  30 -> 31 [size =\"51369984\"]\n  30 -> 32 [size =\"51369984\"]\n  30 -> 33 [size =\"51369984\"]\n  30 -> 34 [size =\"51369984\"]\n  31 [size=\"104412160\", alpha=\"0.17\", expect_size=\"41764864\"] \n  31 -> 35 [size =\"41764864\"]\n  32 [size=\"33310720\", alpha=\"0.10\", expect_size=\"13324288\"] \n  32 -> 35 [size =\"13324288\"]\n  33 [size=\"49579520\", alpha=\"0.11\", expect_size=\"19831808\"] \n  33 -> 36 [size =\"19831808\"]\n  34 [size=\"114764800\", alpha=\"0.18\", expect_size=\"45905920\"] \n  35 [size=\"77480960\", alpha=\"0.08\", expect_size=\"30992384\"] \n  35 -> 39 [size =\"30992384\"]\n  36 [size=\"75719680\", alpha=\"0.10\", expect_size=\"30287872\"] \n  36 -> 37 [size =\"30287872\"]\n  36 -> 38 [size =\"30287872\"]\n  36 -> 39 [size =\"30287872\"]\n  37 [size=\"86243840\", alpha=\"0.14\", expect_size=\"34497536\"] \n  37 -> 40 [size =\"34497536\"]\n  38 [size=\"109235200\", alpha=\"0.17\", expect_size=\"43694080\"] \n  39 [size=\"117816320\", alpha=\"0.19\", expect_size=\"47126528\"] \n  40 [size=\"101335040\", alpha=\"0.01\", expect_size=\"40534016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139106987\", alpha=\"0.15\", expect_size=\"41732096\"] \n  1 -> 34 [size =\"41732096\"]\n  1 -> 36 [size =\"41732096\"]\n  1 -> 37 [size =\"41732096\"]\n  1 -> 40 [size =\"41732096\"]\n  2 [size=\"22801067\", alpha=\"0.02\", expect_size=\"6840320\"] \n  2 -> 30 [size =\"6840320\"]\n  2 -> 34 [size =\"6840320\"]\n  2 -> 35 [size =\"6840320\"]\n  2 -> 36 [size =\"6840320\"]\n  2 -> 40 [size =\"6840320\"]\n  3 [size=\"84196693\", alpha=\"0.07\", expect_size=\"25259008\"] \n  3 -> 32 [size =\"25259008\"]\n  3 -> 33 [size =\"25259008\"]\n  3 -> 34 [size =\"25259008\"]\n  3 -> 38 [size =\"25259008\"]\n  4 [size=\"156095147\", alpha=\"0.06\", expect_size=\"46828544\"] \n  4 -> 33 [size =\"46828544\"]\n  4 -> 34 [size =\"46828544\"]\n  4 -> 36 [size =\"46828544\"]\n  4 -> 37 [size =\"46828544\"]\n  4 -> 38 [size =\"46828544\"]\n  5 [size=\"35976533\", alpha=\"0.02\", expect_size=\"10792960\"] \n  5 -> 31 [size =\"10792960\"]\n  5 -> 34 [size =\"10792960\"]\n  5 -> 36 [size =\"10792960\"]\n  5 -> 37 [size =\"10792960\"]\n  5 -> 39 [size =\"10792960\"]\n  5 -> 40 [size =\"10792960\"]\n  6 [size=\"41325227\", alpha=\"0.18\", expect_size=\"12397568\"] \n  6 -> 31 [size =\"12397568\"]\n  6 -> 32 [size =\"12397568\"]\n  6 -> 34 [size =\"12397568\"]\n  6 -> 38 [size =\"12397568\"]\n  6 -> 39 [size =\"12397568\"]\n  6 -> 40 [size =\"12397568\"]\n  7 [size=\"44250453\", alpha=\"0.01\", expect_size=\"13275136\"] \n  7 -> 33 [size =\"13275136\"]\n  7 -> 36 [size =\"13275136\"]\n  7 -> 40 [size =\"13275136\"]\n  8 [size=\"126211413\", alpha=\"0.13\", expect_size=\"37863424\"] \n  8 -> 32 [size =\"37863424\"]\n  8 -> 34 [size =\"37863424\"]\n  8 -> 35 [size =\"37863424\"]\n  8 -> 37 [size =\"37863424\"]\n  8 -> 38 [size =\"37863424\"]\n  8 -> 39 [size =\"37863424\"]\n  8 -> 40 [size =\"37863424\"]\n  9 [size=\"143155200\", alpha=\"0.08\", expect_size=\"42946560\"] \n  9 -> 31 [size =\"42946560\"]\n  9 -> 32 [size =\"42946560\"]\n  9 -> 34 [size =\"42946560\"]\n  9 -> 39 [size =\"42946560\"]\n  9 -> 40 [size =\"42946560\"]\n  10 [size=\"151067307\", alpha=\"0.01\", expect_size=\"45320192\"] \n  10 -> 31 [size =\"45320192\"]\n  10 -> 33 [size =\"45320192\"]\n  10 -> 34 [size =\"45320192\"]\n  10 -> 39 [size =\"45320192\"]\n  11 [size=\"135512747\", alpha=\"0.17\", expect_size=\"40653824\"] \n  11 -> 37 [size =\"40653824\"]\n  11 -> 39 [size =\"40653824\"]\n  12 [size=\"92723200\", alpha=\"0.05\", expect_size=\"27816960\"] \n  12 -> 33 [size =\"27816960\"]\n  12 -> 37 [size =\"27816960\"]\n  12 -> 38 [size =\"27816960\"]\n  12 -> 39 [size =\"27816960\"]\n  13 [size=\"112056320\", alpha=\"0.04\", expect_size=\"33616896\"] \n  13 -> 38 [size =\"33616896\"]\n  14 [size=\"169553920\", alpha=\"0.03\", expect_size=\"50866176\"] \n  14 -> 35 [size =\"50866176\"]\n  14 -> 36 [size =\"50866176\"]\n  14 -> 38 [size =\"50866176\"]\n  14 -> 40 [size =\"50866176\"]\n  15 [size=\"63317333\", alpha=\"0.18\", expect_size=\"18995200\"] \n  15 -> 31 [size =\"18995200\"]\n  15 -> 32 [size =\"18995200\"]\n  15 -> 35 [size =\"18995200\"]\n  15 -> 40 [size =\"18995200\"]\n  16 [size=\"82612907\", alpha=\"0.18\", expect_size=\"24783872\"] \n  16 -> 35 [size =\"24783872\"]\n  16 -> 38 [size =\"24783872\"]\n  17 [size=\"65761280\", alpha=\"0.07\", expect_size=\"19728384\"] \n  17 -> 36 [size =\"19728384\"]\n  17 -> 40 [size =\"19728384\"]\n  18 [size=\"72512853\", alpha=\"0.20\", expect_size=\"21753856\"] \n  18 -> 31 [size =\"21753856\"]\n  18 -> 33 [size =\"21753856\"]\n  18 -> 36 [size =\"21753856\"]\n  18 -> 39 [size =\"21753856\"]\n  18 -> 40 [size =\"21753856\"]\n  19 [size=\"171533653\", alpha=\"0.16\", expect_size=\"51460096\"] \n  19 -> 31 [size =\"51460096\"]\n  19 -> 35 [size =\"51460096\"]\n  19 -> 39 [size =\"51460096\"]\n  19 -> 40 [size =\"51460096\"]\n  20 [size=\"76834133\", alpha=\"0.16\", expect_size=\"23050240\"] \n  20 -> 31 [size =\"23050240\"]\n  20 -> 33 [size =\"23050240\"]\n  20 -> 38 [size =\"23050240\"]\n  20 -> 40 [size =\"23050240\"]\n  21 [size=\"87333547\", alpha=\"0.12\", expect_size=\"26200064\"] \n  21 -> 33 [size =\"26200064\"]\n  21 -> 34 [size =\"26200064\"]\n  21 -> 39 [size =\"26200064\"]\n  22 [size=\"61986133\", alpha=\"0.08\", expect_size=\"18595840\"] \n  22 -> 32 [size =\"18595840\"]\n  22 -> 33 [size =\"18595840\"]\n  22 -> 34 [size =\"18595840\"]\n  22 -> 35 [size =\"18595840\"]\n  22 -> 36 [size =\"18595840\"]\n  22 -> 38 [size =\"18595840\"]\n  23 [size=\"102536533\", alpha=\"0.13\", expect_size=\"30760960\"] \n  23 -> 32 [size =\"30760960\"]\n  23 -> 34 [size =\"30760960\"]\n  23 -> 36 [size =\"30760960\"]\n  23 -> 37 [size =\"30760960\"]\n  24 [size=\"133307733\", alpha=\"0.15\", expect_size=\"39992320\"] \n  24 -> 31 [size =\"39992320\"]\n  24 -> 32 [size =\"39992320\"]\n  24 -> 33 [size =\"39992320\"]\n  24 -> 34 [size =\"39992320\"]\n  24 -> 35 [size =\"39992320\"]\n  24 -> 36 [size =\"39992320\"]\n  24 -> 38 [size =\"39992320\"]\n  24 -> 40 [size =\"39992320\"]\n  25 [size=\"154265600\", alpha=\"0.00\", expect_size=\"46279680\"] \n  25 -> 32 [size =\"46279680\"]\n  25 -> 33 [size =\"46279680\"]\n  25 -> 34 [size =\"46279680\"]\n  25 -> 34 [size =\"46279680\"]\n  25 -> 35 [size =\"46279680\"]\n  25 -> 36 [size =\"46279680\"]\n  25 -> 38 [size =\"46279680\"]\n  26 [size=\"140066133\", alpha=\"0.08\", expect_size=\"42019840\"] \n  26 -> 30 [size =\"42019840\"]\n  26 -> 32 [size =\"42019840\"]\n  26 -> 33 [size =\"42019840\"]\n  26 -> 34 [size =\"42019840\"]\n  26 -> 36 [size =\"42019840\"]\n  26 -> 36 [size =\"42019840\"]\n  26 -> 38 [size =\"42019840\"]\n  26 -> 40 [size =\"42019840\"]\n  27 [size=\"121535147\", alpha=\"0.19\", expect_size=\"36460544\"] \n  27 -> 30 [size =\"36460544\"]\n  27 -> 33 [size =\"36460544\"]\n  27 -> 36 [size =\"36460544\"]\n  27 -> 38 [size =\"36460544\"]\n  28 [size=\"18964480\", alpha=\"0.04\", expect_size=\"5689344\"] \n  28 -> 33 [size =\"5689344\"]\n  28 -> 34 [size =\"5689344\"]\n  28 -> 36 [size =\"5689344\"]\n  28 -> 38 [size =\"5689344\"]\n  28 -> 40 [size =\"5689344\"]\n  29 [size=\"18520747\", alpha=\"0.05\", expect_size=\"5556224\"] \n  29 -> 31 [size =\"5556224\"]\n  29 -> 34 [size =\"5556224\"]\n  29 -> 37 [size =\"5556224\"]\n  29 -> 38 [size =\"5556224\"]\n  29 -> 39 [size =\"5556224\"]\n  30 [size=\"142919680\", alpha=\"0.04\", expect_size=\"42875904\"] \n  31 [size=\"111738880\", alpha=\"0.17\", expect_size=\"33521664\"] \n  32 [size=\"46612480\", alpha=\"0.19\", expect_size=\"13983744\"] \n  33 [size=\"110151680\", alpha=\"0.14\", expect_size=\"33045504\"] \n  34 [size=\"54507520\", alpha=\"0.08\", expect_size=\"16352256\"] \n  35 [size=\"18305707\", alpha=\"0.08\", expect_size=\"5491712\"] \n  36 [size=\"20043093\", alpha=\"0.16\", expect_size=\"6012928\"] \n  37 [size=\"83572053\", alpha=\"0.10\", expect_size=\"25071616\"] \n  38 [size=\"78380373\", alpha=\"0.11\", expect_size=\"23514112\"] \n  39 [size=\"113213440\", alpha=\"0.12\", expect_size=\"33964032\"] \n  40 [size=\"156460373\", alpha=\"0.01\", expect_size=\"46938112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58073600\", alpha=\"0.02\", expect_size=\"23229440\"] \n  1 -> 30 [size =\"23229440\"]\n  1 -> 31 [size =\"23229440\"]\n  1 -> 32 [size =\"23229440\"]\n  1 -> 38 [size =\"23229440\"]\n  2 [size=\"128532480\", alpha=\"0.14\", expect_size=\"51412992\"] \n  2 -> 37 [size =\"51412992\"]\n  3 [size=\"17658880\", alpha=\"0.08\", expect_size=\"7063552\"] \n  3 -> 33 [size =\"7063552\"]\n  4 [size=\"96747520\", alpha=\"0.09\", expect_size=\"38699008\"] \n  4 -> 30 [size =\"38699008\"]\n  4 -> 32 [size =\"38699008\"]\n  4 -> 40 [size =\"38699008\"]\n  5 [size=\"25530880\", alpha=\"0.20\", expect_size=\"10212352\"] \n  5 -> 30 [size =\"10212352\"]\n  5 -> 31 [size =\"10212352\"]\n  5 -> 32 [size =\"10212352\"]\n  5 -> 33 [size =\"10212352\"]\n  5 -> 39 [size =\"10212352\"]\n  6 [size=\"93946880\", alpha=\"0.14\", expect_size=\"37578752\"] \n  6 -> 30 [size =\"37578752\"]\n  6 -> 33 [size =\"37578752\"]\n  6 -> 37 [size =\"37578752\"]\n  7 [size=\"50951680\", alpha=\"0.09\", expect_size=\"20380672\"] \n  7 -> 33 [size =\"20380672\"]\n  8 [size=\"65041920\", alpha=\"0.02\", expect_size=\"26016768\"] \n  8 -> 38 [size =\"26016768\"]\n  9 [size=\"39797760\", alpha=\"0.12\", expect_size=\"15919104\"] \n  9 -> 33 [size =\"15919104\"]\n  10 [size=\"70417920\", alpha=\"0.10\", expect_size=\"28167168\"] \n  10 -> 30 [size =\"28167168\"]\n  10 -> 33 [size =\"28167168\"]\n  10 -> 34 [size =\"28167168\"]\n  10 -> 37 [size =\"28167168\"]\n  10 -> 38 [size =\"28167168\"]\n  11 [size=\"97384960\", alpha=\"0.18\", expect_size=\"38953984\"] \n  11 -> 31 [size =\"38953984\"]\n  11 -> 33 [size =\"38953984\"]\n  11 -> 37 [size =\"38953984\"]\n  12 [size=\"108902400\", alpha=\"0.01\", expect_size=\"43560960\"] \n  12 -> 39 [size =\"43560960\"]\n  13 [size=\"75271680\", alpha=\"0.03\", expect_size=\"30108672\"] \n  13 -> 33 [size =\"30108672\"]\n  13 -> 38 [size =\"30108672\"]\n  13 -> 40 [size =\"30108672\"]\n  14 [size=\"120911360\", alpha=\"0.08\", expect_size=\"48364544\"] \n  14 -> 30 [size =\"48364544\"]\n  14 -> 31 [size =\"48364544\"]\n  14 -> 38 [size =\"48364544\"]\n  15 [size=\"53795840\", alpha=\"0.12\", expect_size=\"21518336\"] \n  15 -> 30 [size =\"21518336\"]\n  15 -> 33 [size =\"21518336\"]\n  15 -> 35 [size =\"21518336\"]\n  15 -> 37 [size =\"21518336\"]\n  15 -> 38 [size =\"21518336\"]\n  15 -> 39 [size =\"21518336\"]\n  16 [size=\"52561920\", alpha=\"0.19\", expect_size=\"21024768\"] \n  16 -> 30 [size =\"21024768\"]\n  16 -> 33 [size =\"21024768\"]\n  16 -> 38 [size =\"21024768\"]\n  17 [size=\"19668480\", alpha=\"0.11\", expect_size=\"7867392\"] \n  17 -> 30 [size =\"7867392\"]\n  17 -> 33 [size =\"7867392\"]\n  17 -> 36 [size =\"7867392\"]\n  18 [size=\"73259520\", alpha=\"0.13\", expect_size=\"29303808\"] \n  18 -> 30 [size =\"29303808\"]\n  18 -> 35 [size =\"29303808\"]\n  19 [size=\"84508160\", alpha=\"0.17\", expect_size=\"33803264\"] \n  19 -> 36 [size =\"33803264\"]\n  19 -> 37 [size =\"33803264\"]\n  19 -> 39 [size =\"33803264\"]\n  20 [size=\"36367360\", alpha=\"0.12\", expect_size=\"14546944\"] \n  20 -> 30 [size =\"14546944\"]\n  20 -> 36 [size =\"14546944\"]\n  21 [size=\"92948480\", alpha=\"0.15\", expect_size=\"37179392\"] \n  21 -> 34 [size =\"37179392\"]\n  22 [size=\"80517120\", alpha=\"0.18\", expect_size=\"32206848\"] \n  22 -> 34 [size =\"32206848\"]\n  22 -> 36 [size =\"32206848\"]\n  22 -> 37 [size =\"32206848\"]\n  23 [size=\"85099520\", alpha=\"0.01\", expect_size=\"34039808\"] \n  23 -> 35 [size =\"34039808\"]\n  23 -> 38 [size =\"34039808\"]\n  24 [size=\"102791680\", alpha=\"0.18\", expect_size=\"41116672\"] \n  24 -> 33 [size =\"41116672\"]\n  24 -> 36 [size =\"41116672\"]\n  24 -> 40 [size =\"41116672\"]\n  25 [size=\"31429120\", alpha=\"0.17\", expect_size=\"12571648\"] \n  25 -> 30 [size =\"12571648\"]\n  25 -> 33 [size =\"12571648\"]\n  25 -> 36 [size =\"12571648\"]\n  25 -> 38 [size =\"12571648\"]\n  25 -> 40 [size =\"12571648\"]\n  26 [size=\"101824000\", alpha=\"0.10\", expect_size=\"40729600\"] \n  26 -> 37 [size =\"40729600\"]\n  26 -> 38 [size =\"40729600\"]\n  26 -> 40 [size =\"40729600\"]\n  27 [size=\"97433600\", alpha=\"0.10\", expect_size=\"38973440\"] \n  27 -> 30 [size =\"38973440\"]\n  27 -> 36 [size =\"38973440\"]\n  28 [size=\"43840000\", alpha=\"0.18\", expect_size=\"17536000\"] \n  29 [size=\"122245120\", alpha=\"0.11\", expect_size=\"48898048\"] \n  29 -> 30 [size =\"48898048\"]\n  29 -> 33 [size =\"48898048\"]\n  29 -> 35 [size =\"48898048\"]\n  29 -> 37 [size =\"48898048\"]\n  29 -> 38 [size =\"48898048\"]\n  30 [size=\"105945600\", alpha=\"0.14\", expect_size=\"42378240\"] \n  31 [size=\"61058560\", alpha=\"0.11\", expect_size=\"24423424\"] \n  32 [size=\"32552960\", alpha=\"0.04\", expect_size=\"13021184\"] \n  33 [size=\"17891840\", alpha=\"0.07\", expect_size=\"7156736\"] \n  34 [size=\"21629440\", alpha=\"0.09\", expect_size=\"8651776\"] \n  35 [size=\"127408640\", alpha=\"0.18\", expect_size=\"50963456\"] \n  36 [size=\"111720960\", alpha=\"0.14\", expect_size=\"44688384\"] \n  37 [size=\"55408640\", alpha=\"0.10\", expect_size=\"22163456\"] \n  38 [size=\"114286080\", alpha=\"0.17\", expect_size=\"45714432\"] \n  39 [size=\"104355840\", alpha=\"0.16\", expect_size=\"41742336\"] \n  40 [size=\"52311040\", alpha=\"0.19\", expect_size=\"20924416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93115733\", alpha=\"0.09\", expect_size=\"27934720\"] \n  1 -> 28 [size =\"27934720\"]\n  1 -> 29 [size =\"27934720\"]\n  1 -> 30 [size =\"27934720\"]\n  1 -> 31 [size =\"27934720\"]\n  1 -> 33 [size =\"27934720\"]\n  1 -> 34 [size =\"27934720\"]\n  1 -> 38 [size =\"27934720\"]\n  2 [size=\"82548053\", alpha=\"0.16\", expect_size=\"24764416\"] \n  2 -> 31 [size =\"24764416\"]\n  2 -> 32 [size =\"24764416\"]\n  2 -> 34 [size =\"24764416\"]\n  2 -> 35 [size =\"24764416\"]\n  2 -> 36 [size =\"24764416\"]\n  2 -> 39 [size =\"24764416\"]\n  2 -> 40 [size =\"24764416\"]\n  3 [size=\"39850667\", alpha=\"0.08\", expect_size=\"11955200\"] \n  3 -> 28 [size =\"11955200\"]\n  3 -> 31 [size =\"11955200\"]\n  3 -> 34 [size =\"11955200\"]\n  3 -> 38 [size =\"11955200\"]\n  3 -> 39 [size =\"11955200\"]\n  4 [size=\"99969707\", alpha=\"0.01\", expect_size=\"29990912\"] \n  4 -> 28 [size =\"29990912\"]\n  4 -> 30 [size =\"29990912\"]\n  4 -> 31 [size =\"29990912\"]\n  4 -> 34 [size =\"29990912\"]\n  4 -> 38 [size =\"29990912\"]\n  5 [size=\"108544000\", alpha=\"0.07\", expect_size=\"32563200\"] \n  5 -> 28 [size =\"32563200\"]\n  5 -> 31 [size =\"32563200\"]\n  5 -> 34 [size =\"32563200\"]\n  5 -> 39 [size =\"32563200\"]\n  6 [size=\"128044373\", alpha=\"0.01\", expect_size=\"38413312\"] \n  6 -> 28 [size =\"38413312\"]\n  6 -> 30 [size =\"38413312\"]\n  6 -> 31 [size =\"38413312\"]\n  6 -> 32 [size =\"38413312\"]\n  6 -> 34 [size =\"38413312\"]\n  6 -> 38 [size =\"38413312\"]\n  6 -> 40 [size =\"38413312\"]\n  7 [size=\"167393280\", alpha=\"0.07\", expect_size=\"50217984\"] \n  7 -> 31 [size =\"50217984\"]\n  7 -> 32 [size =\"50217984\"]\n  7 -> 34 [size =\"50217984\"]\n  7 -> 38 [size =\"50217984\"]\n  7 -> 39 [size =\"50217984\"]\n  8 [size=\"43953493\", alpha=\"0.01\", expect_size=\"13186048\"] \n  8 -> 28 [size =\"13186048\"]\n  8 -> 31 [size =\"13186048\"]\n  8 -> 33 [size =\"13186048\"]\n  8 -> 34 [size =\"13186048\"]\n  8 -> 35 [size =\"13186048\"]\n  8 -> 38 [size =\"13186048\"]\n  8 -> 39 [size =\"13186048\"]\n  9 [size=\"37847040\", alpha=\"0.05\", expect_size=\"11354112\"] \n  9 -> 30 [size =\"11354112\"]\n  9 -> 31 [size =\"11354112\"]\n  9 -> 34 [size =\"11354112\"]\n  9 -> 34 [size =\"11354112\"]\n  9 -> 35 [size =\"11354112\"]\n  9 -> 38 [size =\"11354112\"]\n  9 -> 40 [size =\"11354112\"]\n  10 [size=\"32382293\", alpha=\"0.17\", expect_size=\"9714688\"] \n  10 -> 30 [size =\"9714688\"]\n  10 -> 38 [size =\"9714688\"]\n  10 -> 40 [size =\"9714688\"]\n  11 [size=\"119169707\", alpha=\"0.08\", expect_size=\"35750912\"] \n  11 -> 30 [size =\"35750912\"]\n  11 -> 35 [size =\"35750912\"]\n  11 -> 38 [size =\"35750912\"]\n  11 -> 40 [size =\"35750912\"]\n  12 [size=\"34566827\", alpha=\"0.15\", expect_size=\"10370048\"] \n  12 -> 28 [size =\"10370048\"]\n  12 -> 33 [size =\"10370048\"]\n  12 -> 34 [size =\"10370048\"]\n  12 -> 36 [size =\"10370048\"]\n  12 -> 38 [size =\"10370048\"]\n  12 -> 39 [size =\"10370048\"]\n  12 -> 40 [size =\"10370048\"]\n  13 [size=\"160491520\", alpha=\"0.01\", expect_size=\"48147456\"] \n  13 -> 34 [size =\"48147456\"]\n  13 -> 38 [size =\"48147456\"]\n  13 -> 40 [size =\"48147456\"]\n  14 [size=\"66194773\", alpha=\"0.11\", expect_size=\"19858432\"] \n  14 -> 28 [size =\"19858432\"]\n  14 -> 31 [size =\"19858432\"]\n  14 -> 32 [size =\"19858432\"]\n  14 -> 34 [size =\"19858432\"]\n  14 -> 40 [size =\"19858432\"]\n  15 [size=\"70604800\", alpha=\"0.04\", expect_size=\"21181440\"] \n  15 -> 30 [size =\"21181440\"]\n  15 -> 32 [size =\"21181440\"]\n  15 -> 33 [size =\"21181440\"]\n  15 -> 34 [size =\"21181440\"]\n  15 -> 35 [size =\"21181440\"]\n  15 -> 36 [size =\"21181440\"]\n  15 -> 38 [size =\"21181440\"]\n  16 [size=\"124808533\", alpha=\"0.18\", expect_size=\"37442560\"] \n  16 -> 31 [size =\"37442560\"]\n  16 -> 32 [size =\"37442560\"]\n  16 -> 34 [size =\"37442560\"]\n  16 -> 38 [size =\"37442560\"]\n  16 -> 40 [size =\"37442560\"]\n  17 [size=\"130269867\", alpha=\"0.02\", expect_size=\"39080960\"] \n  17 -> 30 [size =\"39080960\"]\n  17 -> 31 [size =\"39080960\"]\n  17 -> 32 [size =\"39080960\"]\n  17 -> 34 [size =\"39080960\"]\n  17 -> 37 [size =\"39080960\"]\n  17 -> 38 [size =\"39080960\"]\n  17 -> 40 [size =\"39080960\"]\n  18 [size=\"27620693\", alpha=\"0.13\", expect_size=\"8286208\"] \n  18 -> 30 [size =\"8286208\"]\n  18 -> 31 [size =\"8286208\"]\n  18 -> 32 [size =\"8286208\"]\n  18 -> 34 [size =\"8286208\"]\n  18 -> 35 [size =\"8286208\"]\n  18 -> 40 [size =\"8286208\"]\n  18 -> 40 [size =\"8286208\"]\n  19 [size=\"33645227\", alpha=\"0.04\", expect_size=\"10093568\"] \n  19 -> 28 [size =\"10093568\"]\n  19 -> 30 [size =\"10093568\"]\n  19 -> 33 [size =\"10093568\"]\n  19 -> 40 [size =\"10093568\"]\n  20 [size=\"74137600\", alpha=\"0.13\", expect_size=\"22241280\"] \n  20 -> 28 [size =\"22241280\"]\n  20 -> 30 [size =\"22241280\"]\n  20 -> 33 [size =\"22241280\"]\n  20 -> 38 [size =\"22241280\"]\n  20 -> 39 [size =\"22241280\"]\n  20 -> 40 [size =\"22241280\"]\n  21 [size=\"51660800\", alpha=\"0.12\", expect_size=\"15498240\"] \n  21 -> 28 [size =\"15498240\"]\n  21 -> 32 [size =\"15498240\"]\n  21 -> 36 [size =\"15498240\"]\n  22 [size=\"115565227\", alpha=\"0.19\", expect_size=\"34669568\"] \n  22 -> 32 [size =\"34669568\"]\n  22 -> 35 [size =\"34669568\"]\n  22 -> 36 [size =\"34669568\"]\n  22 -> 38 [size =\"34669568\"]\n  22 -> 39 [size =\"34669568\"]\n  23 [size=\"78636373\", alpha=\"0.09\", expect_size=\"23590912\"] \n  23 -> 35 [size =\"23590912\"]\n  23 -> 38 [size =\"23590912\"]\n  23 -> 39 [size =\"23590912\"]\n  24 [size=\"84415147\", alpha=\"0.09\", expect_size=\"25324544\"] \n  24 -> 29 [size =\"25324544\"]\n  24 -> 32 [size =\"25324544\"]\n  24 -> 34 [size =\"25324544\"]\n  24 -> 40 [size =\"25324544\"]\n  25 [size=\"174629547\", alpha=\"0.01\", expect_size=\"52388864\"] \n  25 -> 32 [size =\"52388864\"]\n  25 -> 33 [size =\"52388864\"]\n  25 -> 39 [size =\"52388864\"]\n  25 -> 40 [size =\"52388864\"]\n  26 [size=\"45871787\", alpha=\"0.08\", expect_size=\"13761536\"] \n  26 -> 31 [size =\"13761536\"]\n  26 -> 33 [size =\"13761536\"]\n  26 -> 34 [size =\"13761536\"]\n  26 -> 39 [size =\"13761536\"]\n  27 [size=\"33000107\", alpha=\"0.13\", expect_size=\"9900032\"] \n  27 -> 28 [size =\"9900032\"]\n  28 [size=\"47284907\", alpha=\"0.01\", expect_size=\"14185472\"] \n  29 [size=\"149002240\", alpha=\"0.12\", expect_size=\"44700672\"] \n  30 [size=\"24507733\", alpha=\"0.05\", expect_size=\"7352320\"] \n  31 [size=\"129419947\", alpha=\"0.11\", expect_size=\"38825984\"] \n  32 [size=\"67515733\", alpha=\"0.19\", expect_size=\"20254720\"] \n  33 [size=\"61163520\", alpha=\"0.05\", expect_size=\"18349056\"] \n  34 [size=\"132730880\", alpha=\"0.18\", expect_size=\"39819264\"] \n  35 [size=\"50141867\", alpha=\"0.17\", expect_size=\"15042560\"] \n  36 [size=\"61757440\", alpha=\"0.10\", expect_size=\"18527232\"] \n  37 [size=\"120855893\", alpha=\"0.17\", expect_size=\"36256768\"] \n  38 [size=\"62781440\", alpha=\"0.05\", expect_size=\"18834432\"] \n  39 [size=\"71301120\", alpha=\"0.16\", expect_size=\"21390336\"] \n  40 [size=\"166782293\", alpha=\"0.14\", expect_size=\"50034688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23529472\", alpha=\"0.02\", expect_size=\"11764736\"] \n  1 -> 3 [size =\"11764736\"]\n  1 -> 4 [size =\"11764736\"]\n  2 [size=\"85876736\", alpha=\"0.08\", expect_size=\"42938368\"] \n  2 -> 3 [size =\"42938368\"]\n  2 -> 4 [size =\"42938368\"]\n  3 [size=\"61081600\", alpha=\"0.11\", expect_size=\"30540800\"] \n  3 -> 5 [size =\"30540800\"]\n  3 -> 6 [size =\"30540800\"]\n  4 [size=\"55556096\", alpha=\"0.15\", expect_size=\"27778048\"] \n  4 -> 6 [size =\"27778048\"]\n  5 [size=\"31215616\", alpha=\"0.02\", expect_size=\"15607808\"] \n  5 -> 7 [size =\"15607808\"]\n  5 -> 8 [size =\"15607808\"]\n  6 [size=\"39815168\", alpha=\"0.09\", expect_size=\"19907584\"] \n  7 [size=\"73889792\", alpha=\"0.17\", expect_size=\"36944896\"] \n  7 -> 9 [size =\"36944896\"]\n  7 -> 10 [size =\"36944896\"]\n  8 [size=\"98408448\", alpha=\"0.06\", expect_size=\"49204224\"] \n  8 -> 9 [size =\"49204224\"]\n  9 [size=\"37623808\", alpha=\"0.08\", expect_size=\"18811904\"] \n  9 -> 11 [size =\"18811904\"]\n  10 [size=\"91514880\", alpha=\"0.13\", expect_size=\"45757440\"] \n  10 -> 11 [size =\"45757440\"]\n  10 -> 12 [size =\"45757440\"]\n  11 [size=\"67147776\", alpha=\"0.00\", expect_size=\"33573888\"] \n  11 -> 13 [size =\"33573888\"]\n  12 [size=\"77512704\", alpha=\"0.16\", expect_size=\"38756352\"] \n  12 -> 13 [size =\"38756352\"]\n  12 -> 14 [size =\"38756352\"]\n  12 -> 15 [size =\"38756352\"]\n  13 [size=\"23207936\", alpha=\"0.16\", expect_size=\"11603968\"] \n  13 -> 16 [size =\"11603968\"]\n  14 [size=\"76572672\", alpha=\"0.15\", expect_size=\"38286336\"] \n  14 -> 17 [size =\"38286336\"]\n  15 [size=\"52203520\", alpha=\"0.01\", expect_size=\"26101760\"] \n  15 -> 17 [size =\"26101760\"]\n  16 [size=\"63832064\", alpha=\"0.10\", expect_size=\"31916032\"] \n  16 -> 19 [size =\"31916032\"]\n  17 [size=\"12654592\", alpha=\"0.12\", expect_size=\"6327296\"] \n  17 -> 18 [size =\"6327296\"]\n  18 [size=\"93210624\", alpha=\"0.12\", expect_size=\"46605312\"] \n  18 -> 22 [size =\"46605312\"]\n  19 [size=\"25217024\", alpha=\"0.20\", expect_size=\"12608512\"] \n  19 -> 20 [size =\"12608512\"]\n  19 -> 21 [size =\"12608512\"]\n  19 -> 22 [size =\"12608512\"]\n  20 [size=\"64761856\", alpha=\"0.18\", expect_size=\"32380928\"] \n  21 [size=\"30476288\", alpha=\"0.19\", expect_size=\"15238144\"] \n  21 -> 23 [size =\"15238144\"]\n  21 -> 24 [size =\"15238144\"]\n  22 [size=\"31158272\", alpha=\"0.16\", expect_size=\"15579136\"] \n  22 -> 24 [size =\"15579136\"]\n  23 [size=\"104310784\", alpha=\"0.03\", expect_size=\"52155392\"] \n  23 -> 25 [size =\"52155392\"]\n  23 -> 26 [size =\"52155392\"]\n  24 [size=\"84537344\", alpha=\"0.01\", expect_size=\"42268672\"] \n  25 [size=\"61470720\", alpha=\"0.02\", expect_size=\"30735360\"] \n  25 -> 27 [size =\"30735360\"]\n  25 -> 28 [size =\"30735360\"]\n  26 [size=\"65441792\", alpha=\"0.10\", expect_size=\"32720896\"] \n  26 -> 27 [size =\"32720896\"]\n  27 [size=\"20525056\", alpha=\"0.11\", expect_size=\"10262528\"] \n  27 -> 29 [size =\"10262528\"]\n  28 [size=\"76613632\", alpha=\"0.11\", expect_size=\"38306816\"] \n  28 -> 30 [size =\"38306816\"]\n  29 [size=\"40208384\", alpha=\"0.17\", expect_size=\"20104192\"] \n  29 -> 31 [size =\"20104192\"]\n  29 -> 32 [size =\"20104192\"]\n  29 -> 33 [size =\"20104192\"]\n  30 [size=\"38711296\", alpha=\"0.20\", expect_size=\"19355648\"] \n  30 -> 31 [size =\"19355648\"]\n  30 -> 32 [size =\"19355648\"]\n  30 -> 33 [size =\"19355648\"]\n  31 [size=\"28669952\", alpha=\"0.14\", expect_size=\"14334976\"] \n  31 -> 35 [size =\"14334976\"]\n  32 [size=\"23132160\", alpha=\"0.03\", expect_size=\"11566080\"] \n  32 -> 34 [size =\"11566080\"]\n  32 -> 36 [size =\"11566080\"]\n  33 [size=\"97488896\", alpha=\"0.15\", expect_size=\"48744448\"] \n  34 [size=\"19222528\", alpha=\"0.01\", expect_size=\"9611264\"] \n  35 [size=\"22145024\", alpha=\"0.15\", expect_size=\"11072512\"] \n  35 -> 37 [size =\"11072512\"]\n  35 -> 38 [size =\"11072512\"]\n  36 [size=\"32620544\", alpha=\"0.01\", expect_size=\"16310272\"] \n  37 [size=\"79976448\", alpha=\"0.08\", expect_size=\"39988224\"] \n  37 -> 39 [size =\"39988224\"]\n  37 -> 40 [size =\"39988224\"]\n  38 [size=\"38873088\", alpha=\"0.12\", expect_size=\"19436544\"] \n  38 -> 39 [size =\"19436544\"]\n  38 -> 40 [size =\"19436544\"]\n  39 [size=\"91611136\", alpha=\"0.19\", expect_size=\"45805568\"] \n  40 [size=\"76580864\", alpha=\"0.17\", expect_size=\"38290432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95311360\", alpha=\"0.16\", expect_size=\"38124544\"] \n  1 -> 15 [size =\"38124544\"]\n  1 -> 16 [size =\"38124544\"]\n  1 -> 17 [size =\"38124544\"]\n  1 -> 18 [size =\"38124544\"]\n  1 -> 19 [size =\"38124544\"]\n  1 -> 22 [size =\"38124544\"]\n  2 [size=\"128599040\", alpha=\"0.12\", expect_size=\"51439616\"] \n  2 -> 13 [size =\"51439616\"]\n  2 -> 14 [size =\"51439616\"]\n  2 -> 16 [size =\"51439616\"]\n  2 -> 17 [size =\"51439616\"]\n  3 [size=\"123566080\", alpha=\"0.03\", expect_size=\"49426432\"] \n  3 -> 13 [size =\"49426432\"]\n  3 -> 14 [size =\"49426432\"]\n  3 -> 16 [size =\"49426432\"]\n  3 -> 17 [size =\"49426432\"]\n  3 -> 20 [size =\"49426432\"]\n  3 -> 21 [size =\"49426432\"]\n  4 [size=\"99553280\", alpha=\"0.09\", expect_size=\"39821312\"] \n  4 -> 12 [size =\"39821312\"]\n  4 -> 13 [size =\"39821312\"]\n  4 -> 14 [size =\"39821312\"]\n  4 -> 15 [size =\"39821312\"]\n  4 -> 16 [size =\"39821312\"]\n  4 -> 17 [size =\"39821312\"]\n  4 -> 18 [size =\"39821312\"]\n  4 -> 19 [size =\"39821312\"]\n  4 -> 20 [size =\"39821312\"]\n  4 -> 21 [size =\"39821312\"]\n  4 -> 22 [size =\"39821312\"]\n  5 [size=\"80158720\", alpha=\"0.10\", expect_size=\"32063488\"] \n  5 -> 12 [size =\"32063488\"]\n  5 -> 13 [size =\"32063488\"]\n  5 -> 16 [size =\"32063488\"]\n  5 -> 17 [size =\"32063488\"]\n  5 -> 18 [size =\"32063488\"]\n  5 -> 19 [size =\"32063488\"]\n  5 -> 22 [size =\"32063488\"]\n  5 -> 23 [size =\"32063488\"]\n  6 [size=\"93222400\", alpha=\"0.08\", expect_size=\"37288960\"] \n  6 -> 13 [size =\"37288960\"]\n  6 -> 13 [size =\"37288960\"]\n  6 -> 14 [size =\"37288960\"]\n  6 -> 15 [size =\"37288960\"]\n  6 -> 16 [size =\"37288960\"]\n  6 -> 17 [size =\"37288960\"]\n  6 -> 19 [size =\"37288960\"]\n  6 -> 22 [size =\"37288960\"]\n  7 [size=\"90424320\", alpha=\"0.10\", expect_size=\"36169728\"] \n  7 -> 13 [size =\"36169728\"]\n  7 -> 17 [size =\"36169728\"]\n  7 -> 18 [size =\"36169728\"]\n  7 -> 20 [size =\"36169728\"]\n  7 -> 22 [size =\"36169728\"]\n  8 [size=\"66442240\", alpha=\"0.17\", expect_size=\"26576896\"] \n  8 -> 12 [size =\"26576896\"]\n  8 -> 16 [size =\"26576896\"]\n  8 -> 18 [size =\"26576896\"]\n  8 -> 20 [size =\"26576896\"]\n  8 -> 21 [size =\"26576896\"]\n  8 -> 22 [size =\"26576896\"]\n  9 [size=\"27735040\", alpha=\"0.19\", expect_size=\"11094016\"] \n  9 -> 12 [size =\"11094016\"]\n  9 -> 13 [size =\"11094016\"]\n  9 -> 14 [size =\"11094016\"]\n  9 -> 15 [size =\"11094016\"]\n  9 -> 16 [size =\"11094016\"]\n  9 -> 18 [size =\"11094016\"]\n  9 -> 19 [size =\"11094016\"]\n  9 -> 20 [size =\"11094016\"]\n  9 -> 21 [size =\"11094016\"]\n  9 -> 22 [size =\"11094016\"]\n  10 [size=\"31628800\", alpha=\"0.12\", expect_size=\"12651520\"] \n  10 -> 16 [size =\"12651520\"]\n  10 -> 18 [size =\"12651520\"]\n  10 -> 19 [size =\"12651520\"]\n  10 -> 20 [size =\"12651520\"]\n  10 -> 21 [size =\"12651520\"]\n  10 -> 22 [size =\"12651520\"]\n  11 [size=\"129495040\", alpha=\"0.08\", expect_size=\"51798016\"] \n  11 -> 12 [size =\"51798016\"]\n  11 -> 13 [size =\"51798016\"]\n  11 -> 15 [size =\"51798016\"]\n  11 -> 16 [size =\"51798016\"]\n  11 -> 18 [size =\"51798016\"]\n  11 -> 19 [size =\"51798016\"]\n  11 -> 20 [size =\"51798016\"]\n  11 -> 22 [size =\"51798016\"]\n  12 [size=\"106283520\", alpha=\"0.06\", expect_size=\"42513408\"] \n  12 -> 24 [size =\"42513408\"]\n  12 -> 26 [size =\"42513408\"]\n  12 -> 29 [size =\"42513408\"]\n  12 -> 30 [size =\"42513408\"]\n  12 -> 35 [size =\"42513408\"]\n  12 -> 36 [size =\"42513408\"]\n  13 [size=\"60362240\", alpha=\"0.09\", expect_size=\"24144896\"] \n  13 -> 25 [size =\"24144896\"]\n  13 -> 27 [size =\"24144896\"]\n  13 -> 29 [size =\"24144896\"]\n  13 -> 30 [size =\"24144896\"]\n  13 -> 32 [size =\"24144896\"]\n  13 -> 36 [size =\"24144896\"]\n  14 [size=\"77219840\", alpha=\"0.10\", expect_size=\"30887936\"] \n  14 -> 29 [size =\"30887936\"]\n  14 -> 30 [size =\"30887936\"]\n  14 -> 31 [size =\"30887936\"]\n  14 -> 35 [size =\"30887936\"]\n  14 -> 36 [size =\"30887936\"]\n  15 [size=\"130030080\", alpha=\"0.05\", expect_size=\"52012032\"] \n  15 -> 24 [size =\"52012032\"]\n  15 -> 25 [size =\"52012032\"]\n  15 -> 30 [size =\"52012032\"]\n  15 -> 33 [size =\"52012032\"]\n  15 -> 35 [size =\"52012032\"]\n  15 -> 36 [size =\"52012032\"]\n  16 [size=\"72427520\", alpha=\"0.10\", expect_size=\"28971008\"] \n  16 -> 25 [size =\"28971008\"]\n  16 -> 34 [size =\"28971008\"]\n  16 -> 36 [size =\"28971008\"]\n  17 [size=\"118709760\", alpha=\"0.13\", expect_size=\"47483904\"] \n  17 -> 24 [size =\"47483904\"]\n  17 -> 26 [size =\"47483904\"]\n  17 -> 28 [size =\"47483904\"]\n  17 -> 29 [size =\"47483904\"]\n  17 -> 32 [size =\"47483904\"]\n  17 -> 36 [size =\"47483904\"]\n  18 [size=\"57128960\", alpha=\"0.03\", expect_size=\"22851584\"] \n  18 -> 24 [size =\"22851584\"]\n  18 -> 28 [size =\"22851584\"]\n  18 -> 29 [size =\"22851584\"]\n  18 -> 32 [size =\"22851584\"]\n  18 -> 33 [size =\"22851584\"]\n  18 -> 35 [size =\"22851584\"]\n  19 [size=\"39244800\", alpha=\"0.20\", expect_size=\"15697920\"] \n  19 -> 24 [size =\"15697920\"]\n  19 -> 29 [size =\"15697920\"]\n  19 -> 29 [size =\"15697920\"]\n  19 -> 32 [size =\"15697920\"]\n  19 -> 34 [size =\"15697920\"]\n  19 -> 35 [size =\"15697920\"]\n  19 -> 36 [size =\"15697920\"]\n  20 [size=\"30778880\", alpha=\"0.01\", expect_size=\"12311552\"] \n  20 -> 29 [size =\"12311552\"]\n  20 -> 29 [size =\"12311552\"]\n  20 -> 31 [size =\"12311552\"]\n  20 -> 32 [size =\"12311552\"]\n  20 -> 33 [size =\"12311552\"]\n  20 -> 34 [size =\"12311552\"]\n  20 -> 35 [size =\"12311552\"]\n  20 -> 36 [size =\"12311552\"]\n  21 [size=\"103992320\", alpha=\"0.16\", expect_size=\"41596928\"] \n  21 -> 24 [size =\"41596928\"]\n  21 -> 29 [size =\"41596928\"]\n  21 -> 30 [size =\"41596928\"]\n  21 -> 32 [size =\"41596928\"]\n  21 -> 33 [size =\"41596928\"]\n  21 -> 35 [size =\"41596928\"]\n  21 -> 36 [size =\"41596928\"]\n  22 [size=\"35417600\", alpha=\"0.10\", expect_size=\"14167040\"] \n  22 -> 25 [size =\"14167040\"]\n  22 -> 28 [size =\"14167040\"]\n  22 -> 34 [size =\"14167040\"]\n  22 -> 35 [size =\"14167040\"]\n  22 -> 36 [size =\"14167040\"]\n  23 [size=\"68904960\", alpha=\"0.03\", expect_size=\"27561984\"] \n  23 -> 29 [size =\"27561984\"]\n  23 -> 30 [size =\"27561984\"]\n  23 -> 32 [size =\"27561984\"]\n  23 -> 34 [size =\"27561984\"]\n  23 -> 35 [size =\"27561984\"]\n  23 -> 36 [size =\"27561984\"]\n  24 [size=\"122808320\", alpha=\"0.11\", expect_size=\"49123328\"] \n  24 -> 37 [size =\"49123328\"]\n  25 [size=\"64209920\", alpha=\"0.11\", expect_size=\"25683968\"] \n  25 -> 37 [size =\"25683968\"]\n  25 -> 39 [size =\"25683968\"]\n  25 -> 40 [size =\"25683968\"]\n  26 [size=\"95352320\", alpha=\"0.03\", expect_size=\"38140928\"] \n  26 -> 37 [size =\"38140928\"]\n  26 -> 39 [size =\"38140928\"]\n  26 -> 40 [size =\"38140928\"]\n  27 [size=\"37194240\", alpha=\"0.09\", expect_size=\"14877696\"] \n  27 -> 38 [size =\"14877696\"]\n  27 -> 40 [size =\"14877696\"]\n  27 -> 40 [size =\"14877696\"]\n  28 [size=\"115020800\", alpha=\"0.05\", expect_size=\"46008320\"] \n  28 -> 37 [size =\"46008320\"]\n  29 [size=\"130086400\", alpha=\"0.02\", expect_size=\"52034560\"] \n  29 -> 39 [size =\"52034560\"]\n  30 [size=\"127296000\", alpha=\"0.03\", expect_size=\"50918400\"] \n  30 -> 38 [size =\"50918400\"]\n  31 [size=\"130600960\", alpha=\"0.03\", expect_size=\"52240384\"] \n  31 -> 37 [size =\"52240384\"]\n  32 [size=\"104240640\", alpha=\"0.19\", expect_size=\"41696256\"] \n  32 -> 37 [size =\"41696256\"]\n  33 [size=\"45742080\", alpha=\"0.03\", expect_size=\"18296832\"] \n  33 -> 37 [size =\"18296832\"]\n  34 [size=\"65569280\", alpha=\"0.19\", expect_size=\"26227712\"] \n  34 -> 37 [size =\"26227712\"]\n  34 -> 39 [size =\"26227712\"]\n  35 [size=\"14233600\", alpha=\"0.13\", expect_size=\"5693440\"] \n  35 -> 37 [size =\"5693440\"]\n  35 -> 39 [size =\"5693440\"]\n  36 [size=\"76753920\", alpha=\"0.18\", expect_size=\"30701568\"] \n  36 -> 37 [size =\"30701568\"]\n  36 -> 39 [size =\"30701568\"]\n  37 [size=\"97318400\", alpha=\"0.01\", expect_size=\"38927360\"] \n  38 [size=\"35281920\", alpha=\"0.12\", expect_size=\"14112768\"] \n  39 [size=\"61941760\", alpha=\"0.06\", expect_size=\"24776704\"] \n  40 [size=\"73960960\", alpha=\"0.04\", expect_size=\"29584384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145698133\", alpha=\"0.13\", expect_size=\"43709440\"] \n  1 -> 2 [size =\"43709440\"]\n  2 [size=\"136495787\", alpha=\"0.03\", expect_size=\"40948736\"] \n  2 -> 3 [size =\"40948736\"]\n  3 [size=\"36140373\", alpha=\"0.09\", expect_size=\"10842112\"] \n  3 -> 4 [size =\"10842112\"]\n  4 [size=\"97805653\", alpha=\"0.16\", expect_size=\"29341696\"] \n  4 -> 5 [size =\"29341696\"]\n  5 [size=\"18121387\", alpha=\"0.04\", expect_size=\"5436416\"] \n  5 -> 6 [size =\"5436416\"]\n  6 [size=\"85445973\", alpha=\"0.12\", expect_size=\"25633792\"] \n  6 -> 7 [size =\"25633792\"]\n  7 [size=\"42693973\", alpha=\"0.11\", expect_size=\"12808192\"] \n  7 -> 8 [size =\"12808192\"]\n  8 [size=\"65730560\", alpha=\"0.01\", expect_size=\"19719168\"] \n  8 -> 9 [size =\"19719168\"]\n  9 [size=\"135103147\", alpha=\"0.12\", expect_size=\"40530944\"] \n  9 -> 10 [size =\"40530944\"]\n  10 [size=\"84285440\", alpha=\"0.04\", expect_size=\"25285632\"] \n  10 -> 11 [size =\"25285632\"]\n  11 [size=\"29009920\", alpha=\"0.05\", expect_size=\"8702976\"] \n  11 -> 12 [size =\"8702976\"]\n  12 [size=\"129675947\", alpha=\"0.13\", expect_size=\"38902784\"] \n  12 -> 13 [size =\"38902784\"]\n  13 [size=\"155337387\", alpha=\"0.10\", expect_size=\"46601216\"] \n  13 -> 14 [size =\"46601216\"]\n  14 [size=\"68020907\", alpha=\"0.06\", expect_size=\"20406272\"] \n  14 -> 15 [size =\"20406272\"]\n  15 [size=\"40290987\", alpha=\"0.14\", expect_size=\"12087296\"] \n  15 -> 16 [size =\"12087296\"]\n  16 [size=\"73045333\", alpha=\"0.10\", expect_size=\"21913600\"] \n  16 -> 17 [size =\"21913600\"]\n  17 [size=\"164816213\", alpha=\"0.01\", expect_size=\"49444864\"] \n  17 -> 18 [size =\"49444864\"]\n  18 [size=\"93327360\", alpha=\"0.04\", expect_size=\"27998208\"] \n  18 -> 19 [size =\"27998208\"]\n  19 [size=\"98717013\", alpha=\"0.17\", expect_size=\"29615104\"] \n  19 -> 20 [size =\"29615104\"]\n  20 [size=\"33481387\", alpha=\"0.01\", expect_size=\"10044416\"] \n  20 -> 21 [size =\"10044416\"]\n  21 [size=\"65276587\", alpha=\"0.01\", expect_size=\"19582976\"] \n  21 -> 22 [size =\"19582976\"]\n  22 [size=\"107851093\", alpha=\"0.16\", expect_size=\"32355328\"] \n  22 -> 23 [size =\"32355328\"]\n  23 [size=\"56173227\", alpha=\"0.13\", expect_size=\"16851968\"] \n  23 -> 24 [size =\"16851968\"]\n  24 [size=\"134649173\", alpha=\"0.01\", expect_size=\"40394752\"] \n  24 -> 25 [size =\"40394752\"]\n  25 [size=\"28276053\", alpha=\"0.09\", expect_size=\"8482816\"] \n  25 -> 26 [size =\"8482816\"]\n  26 [size=\"138847573\", alpha=\"0.05\", expect_size=\"41654272\"] \n  26 -> 27 [size =\"41654272\"]\n  27 [size=\"57910613\", alpha=\"0.05\", expect_size=\"17373184\"] \n  27 -> 28 [size =\"17373184\"]\n  28 [size=\"68590933\", alpha=\"0.11\", expect_size=\"20577280\"] \n  28 -> 29 [size =\"20577280\"]\n  29 [size=\"99809280\", alpha=\"0.11\", expect_size=\"29942784\"] \n  29 -> 30 [size =\"29942784\"]\n  30 [size=\"75407360\", alpha=\"0.01\", expect_size=\"22622208\"] \n  30 -> 31 [size =\"22622208\"]\n  31 [size=\"80076800\", alpha=\"0.11\", expect_size=\"24023040\"] \n  31 -> 32 [size =\"24023040\"]\n  32 [size=\"84746240\", alpha=\"0.16\", expect_size=\"25423872\"] \n  32 -> 33 [size =\"25423872\"]\n  33 [size=\"51155627\", alpha=\"0.19\", expect_size=\"15346688\"] \n  33 -> 34 [size =\"15346688\"]\n  34 [size=\"155252053\", alpha=\"0.08\", expect_size=\"46575616\"] \n  34 -> 35 [size =\"46575616\"]\n  35 [size=\"162798933\", alpha=\"0.20\", expect_size=\"48839680\"] \n  35 -> 36 [size =\"48839680\"]\n  36 [size=\"74441387\", alpha=\"0.19\", expect_size=\"22332416\"] \n  36 -> 37 [size =\"22332416\"]\n  37 [size=\"115438933\", alpha=\"0.16\", expect_size=\"34631680\"] \n  37 -> 38 [size =\"34631680\"]\n  38 [size=\"153719467\", alpha=\"0.03\", expect_size=\"46115840\"] \n  38 -> 39 [size =\"46115840\"]\n  39 [size=\"80261120\", alpha=\"0.01\", expect_size=\"24078336\"] \n  39 -> 40 [size =\"24078336\"]\n  40 [size=\"169970347\", alpha=\"0.01\", expect_size=\"50991104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47255040\", alpha=\"0.18\", expect_size=\"18902016\"] \n  1 -> 2 [size =\"18902016\"]\n  2 [size=\"76984320\", alpha=\"0.19\", expect_size=\"30793728\"] \n  2 -> 3 [size =\"30793728\"]\n  3 [size=\"52328960\", alpha=\"0.05\", expect_size=\"20931584\"] \n  3 -> 4 [size =\"20931584\"]\n  4 [size=\"86617600\", alpha=\"0.06\", expect_size=\"34647040\"] \n  4 -> 5 [size =\"34647040\"]\n  5 [size=\"100413440\", alpha=\"0.19\", expect_size=\"40165376\"] \n  5 -> 6 [size =\"40165376\"]\n  6 [size=\"30333440\", alpha=\"0.06\", expect_size=\"12133376\"] \n  6 -> 7 [size =\"12133376\"]\n  7 [size=\"106104320\", alpha=\"0.18\", expect_size=\"42441728\"] \n  7 -> 8 [size =\"42441728\"]\n  8 [size=\"36154880\", alpha=\"0.08\", expect_size=\"14461952\"] \n  8 -> 9 [size =\"14461952\"]\n  9 [size=\"14146560\", alpha=\"0.16\", expect_size=\"5658624\"] \n  9 -> 10 [size =\"5658624\"]\n  10 [size=\"14010880\", alpha=\"0.18\", expect_size=\"5604352\"] \n  10 -> 11 [size =\"5604352\"]\n  11 [size=\"24757760\", alpha=\"0.19\", expect_size=\"9903104\"] \n  11 -> 12 [size =\"9903104\"]\n  12 [size=\"15080960\", alpha=\"0.09\", expect_size=\"6032384\"] \n  12 -> 13 [size =\"6032384\"]\n  13 [size=\"125762560\", alpha=\"0.15\", expect_size=\"50305024\"] \n  13 -> 14 [size =\"50305024\"]\n  14 [size=\"39086080\", alpha=\"0.08\", expect_size=\"15634432\"] \n  14 -> 15 [size =\"15634432\"]\n  15 [size=\"75499520\", alpha=\"0.01\", expect_size=\"30199808\"] \n  15 -> 16 [size =\"30199808\"]\n  16 [size=\"70681600\", alpha=\"0.11\", expect_size=\"28272640\"] \n  16 -> 17 [size =\"28272640\"]\n  17 [size=\"103938560\", alpha=\"0.11\", expect_size=\"41575424\"] \n  17 -> 18 [size =\"41575424\"]\n  18 [size=\"92689920\", alpha=\"0.10\", expect_size=\"37075968\"] \n  18 -> 19 [size =\"37075968\"]\n  19 [size=\"20267520\", alpha=\"0.02\", expect_size=\"8107008\"] \n  19 -> 20 [size =\"8107008\"]\n  20 [size=\"115153920\", alpha=\"0.10\", expect_size=\"46061568\"] \n  20 -> 21 [size =\"46061568\"]\n  21 [size=\"101749760\", alpha=\"0.04\", expect_size=\"40699904\"] \n  21 -> 22 [size =\"40699904\"]\n  22 [size=\"95587840\", alpha=\"0.08\", expect_size=\"38235136\"] \n  22 -> 23 [size =\"38235136\"]\n  23 [size=\"31306240\", alpha=\"0.20\", expect_size=\"12522496\"] \n  23 -> 24 [size =\"12522496\"]\n  24 [size=\"121446400\", alpha=\"0.03\", expect_size=\"48578560\"] \n  24 -> 25 [size =\"48578560\"]\n  25 [size=\"51571200\", alpha=\"0.02\", expect_size=\"20628480\"] \n  25 -> 26 [size =\"20628480\"]\n  26 [size=\"54771200\", alpha=\"0.04\", expect_size=\"21908480\"] \n  26 -> 27 [size =\"21908480\"]\n  27 [size=\"116889600\", alpha=\"0.01\", expect_size=\"46755840\"] \n  27 -> 28 [size =\"46755840\"]\n  28 [size=\"61736960\", alpha=\"0.02\", expect_size=\"24694784\"] \n  28 -> 29 [size =\"24694784\"]\n  29 [size=\"122265600\", alpha=\"0.04\", expect_size=\"48906240\"] \n  29 -> 30 [size =\"48906240\"]\n  30 [size=\"13826560\", alpha=\"0.05\", expect_size=\"5530624\"] \n  30 -> 31 [size =\"5530624\"]\n  31 [size=\"71073280\", alpha=\"0.09\", expect_size=\"28429312\"] \n  31 -> 32 [size =\"28429312\"]\n  32 [size=\"92229120\", alpha=\"0.13\", expect_size=\"36891648\"] \n  32 -> 33 [size =\"36891648\"]\n  33 [size=\"23206400\", alpha=\"0.15\", expect_size=\"9282560\"] \n  33 -> 34 [size =\"9282560\"]\n  34 [size=\"21191680\", alpha=\"0.03\", expect_size=\"8476672\"] \n  34 -> 35 [size =\"8476672\"]\n  35 [size=\"41733120\", alpha=\"0.01\", expect_size=\"16693248\"] \n  35 -> 36 [size =\"16693248\"]\n  36 [size=\"54172160\", alpha=\"0.09\", expect_size=\"21668864\"] \n  36 -> 37 [size =\"21668864\"]\n  37 [size=\"75735040\", alpha=\"0.12\", expect_size=\"30294016\"] \n  37 -> 38 [size =\"30294016\"]\n  38 [size=\"81459200\", alpha=\"0.08\", expect_size=\"32583680\"] \n  38 -> 39 [size =\"32583680\"]\n  39 [size=\"94392320\", alpha=\"0.06\", expect_size=\"37756928\"] \n  39 -> 40 [size =\"37756928\"]\n  40 [size=\"115571200\", alpha=\"0.01\", expect_size=\"46228480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151033173\", alpha=\"0.17\", expect_size=\"45309952\"] \n  1 -> 3 [size =\"45309952\"]\n  1 -> 4 [size =\"45309952\"]\n  1 -> 5 [size =\"45309952\"]\n  2 [size=\"146984960\", alpha=\"0.11\", expect_size=\"44095488\"] \n  2 -> 3 [size =\"44095488\"]\n  2 -> 4 [size =\"44095488\"]\n  2 -> 5 [size =\"44095488\"]\n  3 [size=\"110069760\", alpha=\"0.12\", expect_size=\"33020928\"] \n  3 -> 6 [size =\"33020928\"]\n  3 -> 7 [size =\"33020928\"]\n  4 [size=\"146995200\", alpha=\"0.15\", expect_size=\"44098560\"] \n  4 -> 6 [size =\"44098560\"]\n  5 [size=\"141878613\", alpha=\"0.15\", expect_size=\"42563584\"] \n  5 -> 6 [size =\"42563584\"]\n  6 [size=\"148968107\", alpha=\"0.02\", expect_size=\"44690432\"] \n  6 -> 8 [size =\"44690432\"]\n  6 -> 9 [size =\"44690432\"]\n  6 -> 10 [size =\"44690432\"]\n  7 [size=\"82032640\", alpha=\"0.19\", expect_size=\"24609792\"] \n  7 -> 8 [size =\"24609792\"]\n  7 -> 9 [size =\"24609792\"]\n  7 -> 10 [size =\"24609792\"]\n  8 [size=\"134751573\", alpha=\"0.19\", expect_size=\"40425472\"] \n  8 -> 11 [size =\"40425472\"]\n  9 [size=\"167649280\", alpha=\"0.05\", expect_size=\"50294784\"] \n  10 [size=\"161187840\", alpha=\"0.05\", expect_size=\"48356352\"] \n  10 -> 11 [size =\"48356352\"]\n  10 -> 12 [size =\"48356352\"]\n  11 [size=\"31163733\", alpha=\"0.07\", expect_size=\"9349120\"] \n  11 -> 13 [size =\"9349120\"]\n  11 -> 14 [size =\"9349120\"]\n  12 [size=\"168686933\", alpha=\"0.03\", expect_size=\"50606080\"] \n  12 -> 13 [size =\"50606080\"]\n  12 -> 14 [size =\"50606080\"]\n  12 -> 15 [size =\"50606080\"]\n  13 [size=\"95436800\", alpha=\"0.08\", expect_size=\"28631040\"] \n  13 -> 16 [size =\"28631040\"]\n  13 -> 17 [size =\"28631040\"]\n  14 [size=\"32522240\", alpha=\"0.07\", expect_size=\"9756672\"] \n  14 -> 16 [size =\"9756672\"]\n  15 [size=\"148090880\", alpha=\"0.18\", expect_size=\"44427264\"] \n  16 [size=\"110605653\", alpha=\"0.02\", expect_size=\"33181696\"] \n  16 -> 18 [size =\"33181696\"]\n  16 -> 19 [size =\"33181696\"]\n  16 -> 20 [size =\"33181696\"]\n  17 [size=\"122651307\", alpha=\"0.10\", expect_size=\"36795392\"] \n  17 -> 19 [size =\"36795392\"]\n  17 -> 20 [size =\"36795392\"]\n  18 [size=\"110868480\", alpha=\"0.09\", expect_size=\"33260544\"] \n  18 -> 21 [size =\"33260544\"]\n  19 [size=\"100556800\", alpha=\"0.18\", expect_size=\"30167040\"] \n  19 -> 21 [size =\"30167040\"]\n  19 -> 22 [size =\"30167040\"]\n  20 [size=\"139513173\", alpha=\"0.19\", expect_size=\"41853952\"] \n  21 [size=\"20531200\", alpha=\"0.18\", expect_size=\"6159360\"] \n  21 -> 23 [size =\"6159360\"]\n  21 -> 24 [size =\"6159360\"]\n  22 [size=\"77810347\", alpha=\"0.12\", expect_size=\"23343104\"] \n  22 -> 23 [size =\"23343104\"]\n  22 -> 24 [size =\"23343104\"]\n  23 [size=\"97587200\", alpha=\"0.19\", expect_size=\"29276160\"] \n  23 -> 25 [size =\"29276160\"]\n  23 -> 27 [size =\"29276160\"]\n  24 [size=\"159051093\", alpha=\"0.02\", expect_size=\"47715328\"] \n  24 -> 25 [size =\"47715328\"]\n  24 -> 26 [size =\"47715328\"]\n  25 [size=\"55930880\", alpha=\"0.01\", expect_size=\"16779264\"] \n  25 -> 29 [size =\"16779264\"]\n  26 [size=\"41861120\", alpha=\"0.16\", expect_size=\"12558336\"] \n  26 -> 29 [size =\"12558336\"]\n  27 [size=\"53691733\", alpha=\"0.00\", expect_size=\"16107520\"] \n  27 -> 28 [size =\"16107520\"]\n  27 -> 29 [size =\"16107520\"]\n  28 [size=\"129140053\", alpha=\"0.19\", expect_size=\"38742016\"] \n  28 -> 30 [size =\"38742016\"]\n  28 -> 31 [size =\"38742016\"]\n  28 -> 32 [size =\"38742016\"]\n  29 [size=\"40110080\", alpha=\"0.17\", expect_size=\"12033024\"] \n  29 -> 30 [size =\"12033024\"]\n  29 -> 31 [size =\"12033024\"]\n  29 -> 32 [size =\"12033024\"]\n  30 [size=\"23995733\", alpha=\"0.13\", expect_size=\"7198720\"] \n  30 -> 33 [size =\"7198720\"]\n  30 -> 34 [size =\"7198720\"]\n  30 -> 35 [size =\"7198720\"]\n  31 [size=\"18377387\", alpha=\"0.11\", expect_size=\"5513216\"] \n  31 -> 33 [size =\"5513216\"]\n  31 -> 34 [size =\"5513216\"]\n  31 -> 35 [size =\"5513216\"]\n  32 [size=\"156815360\", alpha=\"0.08\", expect_size=\"47044608\"] \n  32 -> 33 [size =\"47044608\"]\n  32 -> 35 [size =\"47044608\"]\n  33 [size=\"96959147\", alpha=\"0.14\", expect_size=\"29087744\"] \n  33 -> 36 [size =\"29087744\"]\n  34 [size=\"88695467\", alpha=\"0.03\", expect_size=\"26608640\"] \n  34 -> 36 [size =\"26608640\"]\n  34 -> 37 [size =\"26608640\"]\n  34 -> 38 [size =\"26608640\"]\n  35 [size=\"104256853\", alpha=\"0.09\", expect_size=\"31277056\"] \n  35 -> 36 [size =\"31277056\"]\n  35 -> 37 [size =\"31277056\"]\n  35 -> 38 [size =\"31277056\"]\n  36 [size=\"110759253\", alpha=\"0.06\", expect_size=\"33227776\"] \n  36 -> 39 [size =\"33227776\"]\n  37 [size=\"82418347\", alpha=\"0.17\", expect_size=\"24725504\"] \n  37 -> 40 [size =\"24725504\"]\n  38 [size=\"83783680\", alpha=\"0.19\", expect_size=\"25135104\"] \n  39 [size=\"74854400\", alpha=\"0.12\", expect_size=\"22456320\"] \n  40 [size=\"48513707\", alpha=\"0.01\", expect_size=\"14554112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67672064\", alpha=\"0.01\", expect_size=\"33836032\"] \n  1 -> 17 [size =\"33836032\"]\n  1 -> 19 [size =\"33836032\"]\n  1 -> 19 [size =\"33836032\"]\n  1 -> 22 [size =\"33836032\"]\n  1 -> 24 [size =\"33836032\"]\n  2 [size=\"70672384\", alpha=\"0.18\", expect_size=\"35336192\"] \n  2 -> 17 [size =\"35336192\"]\n  2 -> 20 [size =\"35336192\"]\n  2 -> 21 [size =\"35336192\"]\n  2 -> 27 [size =\"35336192\"]\n  3 [size=\"60114944\", alpha=\"0.05\", expect_size=\"30057472\"] \n  3 -> 16 [size =\"30057472\"]\n  3 -> 17 [size =\"30057472\"]\n  3 -> 23 [size =\"30057472\"]\n  4 [size=\"29743104\", alpha=\"0.12\", expect_size=\"14871552\"] \n  4 -> 17 [size =\"14871552\"]\n  4 -> 20 [size =\"14871552\"]\n  4 -> 22 [size =\"14871552\"]\n  4 -> 26 [size =\"14871552\"]\n  4 -> 27 [size =\"14871552\"]\n  5 [size=\"77430784\", alpha=\"0.05\", expect_size=\"38715392\"] \n  5 -> 18 [size =\"38715392\"]\n  5 -> 20 [size =\"38715392\"]\n  5 -> 21 [size =\"38715392\"]\n  5 -> 22 [size =\"38715392\"]\n  6 [size=\"71231488\", alpha=\"0.03\", expect_size=\"35615744\"] \n  6 -> 17 [size =\"35615744\"]\n  6 -> 21 [size =\"35615744\"]\n  6 -> 21 [size =\"35615744\"]\n  6 -> 24 [size =\"35615744\"]\n  6 -> 26 [size =\"35615744\"]\n  7 [size=\"56770560\", alpha=\"0.11\", expect_size=\"28385280\"] \n  7 -> 17 [size =\"28385280\"]\n  7 -> 22 [size =\"28385280\"]\n  7 -> 25 [size =\"28385280\"]\n  8 [size=\"36677632\", alpha=\"0.02\", expect_size=\"18338816\"] \n  8 -> 16 [size =\"18338816\"]\n  8 -> 17 [size =\"18338816\"]\n  8 -> 19 [size =\"18338816\"]\n  8 -> 22 [size =\"18338816\"]\n  8 -> 23 [size =\"18338816\"]\n  8 -> 25 [size =\"18338816\"]\n  8 -> 27 [size =\"18338816\"]\n  9 [size=\"54900736\", alpha=\"0.10\", expect_size=\"27450368\"] \n  9 -> 16 [size =\"27450368\"]\n  9 -> 18 [size =\"27450368\"]\n  9 -> 20 [size =\"27450368\"]\n  9 -> 23 [size =\"27450368\"]\n  9 -> 25 [size =\"27450368\"]\n  9 -> 25 [size =\"27450368\"]\n  9 -> 26 [size =\"27450368\"]\n  10 [size=\"32319488\", alpha=\"0.18\", expect_size=\"16159744\"] \n  10 -> 20 [size =\"16159744\"]\n  10 -> 24 [size =\"16159744\"]\n  10 -> 25 [size =\"16159744\"]\n  11 [size=\"52439040\", alpha=\"0.14\", expect_size=\"26219520\"] \n  11 -> 16 [size =\"26219520\"]\n  11 -> 21 [size =\"26219520\"]\n  11 -> 22 [size =\"26219520\"]\n  11 -> 25 [size =\"26219520\"]\n  12 [size=\"57665536\", alpha=\"0.16\", expect_size=\"28832768\"] \n  12 -> 18 [size =\"28832768\"]\n  12 -> 20 [size =\"28832768\"]\n  12 -> 21 [size =\"28832768\"]\n  12 -> 24 [size =\"28832768\"]\n  12 -> 25 [size =\"28832768\"]\n  12 -> 26 [size =\"28832768\"]\n  13 [size=\"45975552\", alpha=\"0.19\", expect_size=\"22987776\"] \n  13 -> 18 [size =\"22987776\"]\n  13 -> 19 [size =\"22987776\"]\n  13 -> 20 [size =\"22987776\"]\n  13 -> 22 [size =\"22987776\"]\n  13 -> 25 [size =\"22987776\"]\n  13 -> 26 [size =\"22987776\"]\n  13 -> 27 [size =\"22987776\"]\n  14 [size=\"70375424\", alpha=\"0.08\", expect_size=\"35187712\"] \n  14 -> 17 [size =\"35187712\"]\n  14 -> 18 [size =\"35187712\"]\n  14 -> 19 [size =\"35187712\"]\n  14 -> 26 [size =\"35187712\"]\n  15 [size=\"31567872\", alpha=\"0.11\", expect_size=\"15783936\"] \n  15 -> 16 [size =\"15783936\"]\n  15 -> 17 [size =\"15783936\"]\n  15 -> 19 [size =\"15783936\"]\n  15 -> 20 [size =\"15783936\"]\n  15 -> 21 [size =\"15783936\"]\n  16 [size=\"55730176\", alpha=\"0.19\", expect_size=\"27865088\"] \n  16 -> 29 [size =\"27865088\"]\n  16 -> 32 [size =\"27865088\"]\n  16 -> 36 [size =\"27865088\"]\n  16 -> 38 [size =\"27865088\"]\n  17 [size=\"68642816\", alpha=\"0.09\", expect_size=\"34321408\"] \n  17 -> 30 [size =\"34321408\"]\n  17 -> 32 [size =\"34321408\"]\n  17 -> 34 [size =\"34321408\"]\n  17 -> 36 [size =\"34321408\"]\n  17 -> 39 [size =\"34321408\"]\n  18 [size=\"26345472\", alpha=\"0.16\", expect_size=\"13172736\"] \n  18 -> 31 [size =\"13172736\"]\n  18 -> 34 [size =\"13172736\"]\n  18 -> 34 [size =\"13172736\"]\n  19 [size=\"37341184\", alpha=\"0.20\", expect_size=\"18670592\"] \n  19 -> 28 [size =\"18670592\"]\n  19 -> 31 [size =\"18670592\"]\n  19 -> 36 [size =\"18670592\"]\n  19 -> 39 [size =\"18670592\"]\n  20 [size=\"82851840\", alpha=\"0.12\", expect_size=\"41425920\"] \n  20 -> 32 [size =\"41425920\"]\n  20 -> 38 [size =\"41425920\"]\n  20 -> 39 [size =\"41425920\"]\n  21 [size=\"73379840\", alpha=\"0.16\", expect_size=\"36689920\"] \n  21 -> 28 [size =\"36689920\"]\n  21 -> 29 [size =\"36689920\"]\n  21 -> 30 [size =\"36689920\"]\n  21 -> 31 [size =\"36689920\"]\n  21 -> 33 [size =\"36689920\"]\n  22 [size=\"43790336\", alpha=\"0.13\", expect_size=\"21895168\"] \n  22 -> 29 [size =\"21895168\"]\n  22 -> 30 [size =\"21895168\"]\n  22 -> 32 [size =\"21895168\"]\n  22 -> 37 [size =\"21895168\"]\n  22 -> 39 [size =\"21895168\"]\n  23 [size=\"25186304\", alpha=\"0.01\", expect_size=\"12593152\"] \n  23 -> 30 [size =\"12593152\"]\n  23 -> 31 [size =\"12593152\"]\n  23 -> 36 [size =\"12593152\"]\n  23 -> 38 [size =\"12593152\"]\n  24 [size=\"19070976\", alpha=\"0.12\", expect_size=\"9535488\"] \n  24 -> 30 [size =\"9535488\"]\n  24 -> 31 [size =\"9535488\"]\n  25 [size=\"57649152\", alpha=\"0.18\", expect_size=\"28824576\"] \n  25 -> 29 [size =\"28824576\"]\n  25 -> 31 [size =\"28824576\"]\n  25 -> 35 [size =\"28824576\"]\n  25 -> 37 [size =\"28824576\"]\n  26 [size=\"15331328\", alpha=\"0.17\", expect_size=\"7665664\"] \n  26 -> 31 [size =\"7665664\"]\n  26 -> 32 [size =\"7665664\"]\n  26 -> 35 [size =\"7665664\"]\n  27 [size=\"10651648\", alpha=\"0.05\", expect_size=\"5325824\"] \n  28 [size=\"53037056\", alpha=\"0.19\", expect_size=\"26518528\"] \n  29 [size=\"35321856\", alpha=\"0.03\", expect_size=\"17660928\"] \n  30 [size=\"34826240\", alpha=\"0.11\", expect_size=\"17413120\"] \n  31 [size=\"91467776\", alpha=\"0.08\", expect_size=\"45733888\"] \n  32 [size=\"73687040\", alpha=\"0.15\", expect_size=\"36843520\"] \n  33 [size=\"41672704\", alpha=\"0.09\", expect_size=\"20836352\"] \n  34 [size=\"45056000\", alpha=\"0.16\", expect_size=\"22528000\"] \n  34 -> 40 [size =\"22528000\"]\n  35 [size=\"103094272\", alpha=\"0.08\", expect_size=\"51547136\"] \n  36 [size=\"93990912\", alpha=\"0.09\", expect_size=\"46995456\"] \n  37 [size=\"78491648\", alpha=\"0.02\", expect_size=\"39245824\"] \n  38 [size=\"102883328\", alpha=\"0.19\", expect_size=\"51441664\"] \n  39 [size=\"98988032\", alpha=\"0.02\", expect_size=\"49494016\"] \n  39 -> 40 [size =\"49494016\"]\n  40 [size=\"16846848\", alpha=\"0.20\", expect_size=\"8423424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65218560\", alpha=\"0.00\", expect_size=\"32609280\"] \n  1 -> 13 [size =\"32609280\"]\n  1 -> 14 [size =\"32609280\"]\n  1 -> 15 [size =\"32609280\"]\n  1 -> 17 [size =\"32609280\"]\n  1 -> 20 [size =\"32609280\"]\n  1 -> 22 [size =\"32609280\"]\n  1 -> 23 [size =\"32609280\"]\n  1 -> 24 [size =\"32609280\"]\n  2 [size=\"61108224\", alpha=\"0.12\", expect_size=\"30554112\"] \n  2 -> 20 [size =\"30554112\"]\n  2 -> 23 [size =\"30554112\"]\n  2 -> 24 [size =\"30554112\"]\n  2 -> 27 [size =\"30554112\"]\n  2 -> 28 [size =\"30554112\"]\n  2 -> 29 [size =\"30554112\"]\n  2 -> 31 [size =\"30554112\"]\n  3 [size=\"24838144\", alpha=\"0.08\", expect_size=\"12419072\"] \n  3 -> 13 [size =\"12419072\"]\n  3 -> 15 [size =\"12419072\"]\n  3 -> 18 [size =\"12419072\"]\n  3 -> 24 [size =\"12419072\"]\n  3 -> 25 [size =\"12419072\"]\n  3 -> 31 [size =\"12419072\"]\n  4 [size=\"56979456\", alpha=\"0.13\", expect_size=\"28489728\"] \n  4 -> 16 [size =\"28489728\"]\n  4 -> 17 [size =\"28489728\"]\n  4 -> 19 [size =\"28489728\"]\n  4 -> 22 [size =\"28489728\"]\n  4 -> 23 [size =\"28489728\"]\n  4 -> 27 [size =\"28489728\"]\n  4 -> 31 [size =\"28489728\"]\n  5 [size=\"94382080\", alpha=\"0.17\", expect_size=\"47191040\"] \n  5 -> 13 [size =\"47191040\"]\n  5 -> 15 [size =\"47191040\"]\n  5 -> 17 [size =\"47191040\"]\n  5 -> 19 [size =\"47191040\"]\n  5 -> 21 [size =\"47191040\"]\n  5 -> 22 [size =\"47191040\"]\n  5 -> 23 [size =\"47191040\"]\n  5 -> 25 [size =\"47191040\"]\n  5 -> 30 [size =\"47191040\"]\n  5 -> 31 [size =\"47191040\"]\n  6 [size=\"58892288\", alpha=\"0.08\", expect_size=\"29446144\"] \n  6 -> 15 [size =\"29446144\"]\n  6 -> 18 [size =\"29446144\"]\n  6 -> 19 [size =\"29446144\"]\n  6 -> 23 [size =\"29446144\"]\n  6 -> 26 [size =\"29446144\"]\n  7 [size=\"89567232\", alpha=\"0.10\", expect_size=\"44783616\"] \n  7 -> 13 [size =\"44783616\"]\n  7 -> 15 [size =\"44783616\"]\n  7 -> 17 [size =\"44783616\"]\n  7 -> 18 [size =\"44783616\"]\n  7 -> 19 [size =\"44783616\"]\n  7 -> 25 [size =\"44783616\"]\n  7 -> 28 [size =\"44783616\"]\n  7 -> 31 [size =\"44783616\"]\n  8 [size=\"13275136\", alpha=\"0.10\", expect_size=\"6637568\"] \n  8 -> 16 [size =\"6637568\"]\n  8 -> 21 [size =\"6637568\"]\n  8 -> 24 [size =\"6637568\"]\n  8 -> 25 [size =\"6637568\"]\n  9 [size=\"93470720\", alpha=\"0.10\", expect_size=\"46735360\"] \n  9 -> 19 [size =\"46735360\"]\n  9 -> 23 [size =\"46735360\"]\n  9 -> 24 [size =\"46735360\"]\n  9 -> 26 [size =\"46735360\"]\n  9 -> 27 [size =\"46735360\"]\n  10 [size=\"62775296\", alpha=\"0.09\", expect_size=\"31387648\"] \n  10 -> 15 [size =\"31387648\"]\n  10 -> 16 [size =\"31387648\"]\n  10 -> 19 [size =\"31387648\"]\n  10 -> 28 [size =\"31387648\"]\n  11 [size=\"98158592\", alpha=\"0.08\", expect_size=\"49079296\"] \n  11 -> 13 [size =\"49079296\"]\n  11 -> 15 [size =\"49079296\"]\n  11 -> 19 [size =\"49079296\"]\n  11 -> 20 [size =\"49079296\"]\n  11 -> 22 [size =\"49079296\"]\n  11 -> 27 [size =\"49079296\"]\n  11 -> 28 [size =\"49079296\"]\n  12 [size=\"99430400\", alpha=\"0.18\", expect_size=\"49715200\"] \n  12 -> 17 [size =\"49715200\"]\n  12 -> 18 [size =\"49715200\"]\n  12 -> 20 [size =\"49715200\"]\n  12 -> 22 [size =\"49715200\"]\n  12 -> 23 [size =\"49715200\"]\n  12 -> 24 [size =\"49715200\"]\n  13 [size=\"63893504\", alpha=\"0.13\", expect_size=\"31946752\"] \n  13 -> 34 [size =\"31946752\"]\n  13 -> 36 [size =\"31946752\"]\n  14 [size=\"101332992\", alpha=\"0.04\", expect_size=\"50666496\"] \n  14 -> 34 [size =\"50666496\"]\n  14 -> 35 [size =\"50666496\"]\n  14 -> 37 [size =\"50666496\"]\n  15 [size=\"68659200\", alpha=\"0.05\", expect_size=\"34329600\"] \n  15 -> 40 [size =\"34329600\"]\n  16 [size=\"53266432\", alpha=\"0.13\", expect_size=\"26633216\"] \n  16 -> 34 [size =\"26633216\"]\n  17 [size=\"91000832\", alpha=\"0.19\", expect_size=\"45500416\"] \n  17 -> 34 [size =\"45500416\"]\n  17 -> 37 [size =\"45500416\"]\n  18 [size=\"41728000\", alpha=\"0.02\", expect_size=\"20864000\"] \n  18 -> 38 [size =\"20864000\"]\n  19 [size=\"88848384\", alpha=\"0.01\", expect_size=\"44424192\"] \n  19 -> 38 [size =\"44424192\"]\n  19 -> 40 [size =\"44424192\"]\n  20 [size=\"41111552\", alpha=\"0.10\", expect_size=\"20555776\"] \n  20 -> 34 [size =\"20555776\"]\n  20 -> 36 [size =\"20555776\"]\n  20 -> 38 [size =\"20555776\"]\n  21 [size=\"85534720\", alpha=\"0.11\", expect_size=\"42767360\"] \n  21 -> 32 [size =\"42767360\"]\n  21 -> 38 [size =\"42767360\"]\n  21 -> 38 [size =\"42767360\"]\n  21 -> 40 [size =\"42767360\"]\n  22 [size=\"31051776\", alpha=\"0.03\", expect_size=\"15525888\"] \n  22 -> 35 [size =\"15525888\"]\n  22 -> 38 [size =\"15525888\"]\n  22 -> 39 [size =\"15525888\"]\n  23 [size=\"23011328\", alpha=\"0.17\", expect_size=\"11505664\"] \n  23 -> 32 [size =\"11505664\"]\n  23 -> 36 [size =\"11505664\"]\n  23 -> 37 [size =\"11505664\"]\n  23 -> 40 [size =\"11505664\"]\n  24 [size=\"82423808\", alpha=\"0.02\", expect_size=\"41211904\"] \n  25 [size=\"100067328\", alpha=\"0.04\", expect_size=\"50033664\"] \n  25 -> 38 [size =\"50033664\"]\n  25 -> 39 [size =\"50033664\"]\n  26 [size=\"27246592\", alpha=\"0.17\", expect_size=\"13623296\"] \n  26 -> 33 [size =\"13623296\"]\n  26 -> 34 [size =\"13623296\"]\n  27 [size=\"89530368\", alpha=\"0.06\", expect_size=\"44765184\"] \n  27 -> 35 [size =\"44765184\"]\n  27 -> 36 [size =\"44765184\"]\n  27 -> 40 [size =\"44765184\"]\n  28 [size=\"85966848\", alpha=\"0.16\", expect_size=\"42983424\"] \n  28 -> 32 [size =\"42983424\"]\n  28 -> 34 [size =\"42983424\"]\n  28 -> 36 [size =\"42983424\"]\n  28 -> 38 [size =\"42983424\"]\n  28 -> 40 [size =\"42983424\"]\n  29 [size=\"93243392\", alpha=\"0.03\", expect_size=\"46621696\"] \n  29 -> 33 [size =\"46621696\"]\n  29 -> 35 [size =\"46621696\"]\n  29 -> 36 [size =\"46621696\"]\n  30 [size=\"98928640\", alpha=\"0.02\", expect_size=\"49464320\"] \n  30 -> 34 [size =\"49464320\"]\n  30 -> 35 [size =\"49464320\"]\n  30 -> 36 [size =\"49464320\"]\n  30 -> 38 [size =\"49464320\"]\n  31 [size=\"53786624\", alpha=\"0.19\", expect_size=\"26893312\"] \n  31 -> 34 [size =\"26893312\"]\n  31 -> 36 [size =\"26893312\"]\n  31 -> 37 [size =\"26893312\"]\n  31 -> 38 [size =\"26893312\"]\n  32 [size=\"12550144\", alpha=\"0.15\", expect_size=\"6275072\"] \n  33 [size=\"25845760\", alpha=\"0.02\", expect_size=\"12922880\"] \n  34 [size=\"13651968\", alpha=\"0.08\", expect_size=\"6825984\"] \n  35 [size=\"22464512\", alpha=\"0.07\", expect_size=\"11232256\"] \n  36 [size=\"41811968\", alpha=\"0.15\", expect_size=\"20905984\"] \n  37 [size=\"25724928\", alpha=\"0.00\", expect_size=\"12862464\"] \n  38 [size=\"53288960\", alpha=\"0.12\", expect_size=\"26644480\"] \n  39 [size=\"32919552\", alpha=\"0.20\", expect_size=\"16459776\"] \n  40 [size=\"47603712\", alpha=\"0.15\", expect_size=\"23801856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25769984\", alpha=\"0.19\", expect_size=\"12884992\"] \n  1 -> 3 [size =\"12884992\"]\n  1 -> 4 [size =\"12884992\"]\n  1 -> 5 [size =\"12884992\"]\n  2 [size=\"13549568\", alpha=\"0.08\", expect_size=\"6774784\"] \n  2 -> 3 [size =\"6774784\"]\n  2 -> 4 [size =\"6774784\"]\n  3 [size=\"79163392\", alpha=\"0.14\", expect_size=\"39581696\"] \n  4 [size=\"82874368\", alpha=\"0.13\", expect_size=\"41437184\"] \n  5 [size=\"38000640\", alpha=\"0.02\", expect_size=\"19000320\"] \n  5 -> 6 [size =\"19000320\"]\n  6 [size=\"14006272\", alpha=\"0.09\", expect_size=\"7003136\"] \n  6 -> 7 [size =\"7003136\"]\n  6 -> 8 [size =\"7003136\"]\n  7 [size=\"11177984\", alpha=\"0.15\", expect_size=\"5588992\"] \n  7 -> 9 [size =\"5588992\"]\n  7 -> 11 [size =\"5588992\"]\n  7 -> 12 [size =\"5588992\"]\n  8 [size=\"32235520\", alpha=\"0.06\", expect_size=\"16117760\"] \n  8 -> 10 [size =\"16117760\"]\n  8 -> 11 [size =\"16117760\"]\n  9 [size=\"35948544\", alpha=\"0.07\", expect_size=\"17974272\"] \n  9 -> 13 [size =\"17974272\"]\n  9 -> 14 [size =\"17974272\"]\n  9 -> 15 [size =\"17974272\"]\n  10 [size=\"64372736\", alpha=\"0.17\", expect_size=\"32186368\"] \n  10 -> 13 [size =\"32186368\"]\n  11 [size=\"23328768\", alpha=\"0.09\", expect_size=\"11664384\"] \n  11 -> 14 [size =\"11664384\"]\n  12 [size=\"19421184\", alpha=\"0.04\", expect_size=\"9710592\"] \n  12 -> 13 [size =\"9710592\"]\n  12 -> 15 [size =\"9710592\"]\n  13 [size=\"55826432\", alpha=\"0.14\", expect_size=\"27913216\"] \n  14 [size=\"29782016\", alpha=\"0.14\", expect_size=\"14891008\"] \n  14 -> 16 [size =\"14891008\"]\n  15 [size=\"90308608\", alpha=\"0.18\", expect_size=\"45154304\"] \n  15 -> 16 [size =\"45154304\"]\n  15 -> 17 [size =\"45154304\"]\n  16 [size=\"101271552\", alpha=\"0.02\", expect_size=\"50635776\"] \n  17 [size=\"50909184\", alpha=\"0.01\", expect_size=\"25454592\"] \n  17 -> 18 [size =\"25454592\"]\n  17 -> 19 [size =\"25454592\"]\n  18 [size=\"26359808\", alpha=\"0.14\", expect_size=\"13179904\"] \n  18 -> 21 [size =\"13179904\"]\n  18 -> 22 [size =\"13179904\"]\n  19 [size=\"52846592\", alpha=\"0.16\", expect_size=\"26423296\"] \n  19 -> 20 [size =\"26423296\"]\n  19 -> 22 [size =\"26423296\"]\n  20 [size=\"84568064\", alpha=\"0.18\", expect_size=\"42284032\"] \n  20 -> 23 [size =\"42284032\"]\n  20 -> 24 [size =\"42284032\"]\n  21 [size=\"69216256\", alpha=\"0.02\", expect_size=\"34608128\"] \n  21 -> 23 [size =\"34608128\"]\n  21 -> 25 [size =\"34608128\"]\n  22 [size=\"19349504\", alpha=\"0.07\", expect_size=\"9674752\"] \n  22 -> 25 [size =\"9674752\"]\n  23 [size=\"38881280\", alpha=\"0.07\", expect_size=\"19440640\"] \n  23 -> 26 [size =\"19440640\"]\n  24 [size=\"11132928\", alpha=\"0.02\", expect_size=\"5566464\"] \n  25 [size=\"77096960\", alpha=\"0.03\", expect_size=\"38548480\"] \n  25 -> 26 [size =\"38548480\"]\n  26 [size=\"67248128\", alpha=\"0.04\", expect_size=\"33624064\"] \n  26 -> 27 [size =\"33624064\"]\n  26 -> 28 [size =\"33624064\"]\n  27 [size=\"77742080\", alpha=\"0.06\", expect_size=\"38871040\"] \n  27 -> 29 [size =\"38871040\"]\n  28 [size=\"82522112\", alpha=\"0.12\", expect_size=\"41261056\"] \n  28 -> 29 [size =\"41261056\"]\n  29 [size=\"55343104\", alpha=\"0.04\", expect_size=\"27671552\"] \n  29 -> 30 [size =\"27671552\"]\n  29 -> 31 [size =\"27671552\"]\n  30 [size=\"38635520\", alpha=\"0.07\", expect_size=\"19317760\"] \n  30 -> 32 [size =\"19317760\"]\n  30 -> 33 [size =\"19317760\"]\n  30 -> 34 [size =\"19317760\"]\n  30 -> 35 [size =\"19317760\"]\n  31 [size=\"27580416\", alpha=\"0.13\", expect_size=\"13790208\"] \n  31 -> 32 [size =\"13790208\"]\n  32 [size=\"37468160\", alpha=\"0.01\", expect_size=\"18734080\"] \n  32 -> 37 [size =\"18734080\"]\n  32 -> 38 [size =\"18734080\"]\n  33 [size=\"71360512\", alpha=\"0.18\", expect_size=\"35680256\"] \n  33 -> 36 [size =\"35680256\"]\n  34 [size=\"103565312\", alpha=\"0.19\", expect_size=\"51782656\"] \n  34 -> 38 [size =\"51782656\"]\n  35 [size=\"17727488\", alpha=\"0.18\", expect_size=\"8863744\"] \n  35 -> 36 [size =\"8863744\"]\n  35 -> 38 [size =\"8863744\"]\n  36 [size=\"30107648\", alpha=\"0.15\", expect_size=\"15053824\"] \n  37 [size=\"49854464\", alpha=\"0.02\", expect_size=\"24927232\"] \n  37 -> 39 [size =\"24927232\"]\n  38 [size=\"77662208\", alpha=\"0.11\", expect_size=\"38831104\"] \n  38 -> 39 [size =\"38831104\"]\n  38 -> 40 [size =\"38831104\"]\n  39 [size=\"40908800\", alpha=\"0.10\", expect_size=\"20454400\"] \n  40 [size=\"59430912\", alpha=\"0.04\", expect_size=\"29715456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71570773\", alpha=\"0.10\", expect_size=\"21471232\"] \n  1 -> 15 [size =\"21471232\"]\n  1 -> 16 [size =\"21471232\"]\n  1 -> 19 [size =\"21471232\"]\n  2 [size=\"146452480\", alpha=\"0.14\", expect_size=\"43935744\"] \n  2 -> 11 [size =\"43935744\"]\n  3 [size=\"106540373\", alpha=\"0.17\", expect_size=\"31962112\"] \n  3 -> 16 [size =\"31962112\"]\n  4 [size=\"161256107\", alpha=\"0.19\", expect_size=\"48376832\"] \n  4 -> 15 [size =\"48376832\"]\n  4 -> 16 [size =\"48376832\"]\n  4 -> 18 [size =\"48376832\"]\n  5 [size=\"86579200\", alpha=\"0.11\", expect_size=\"25973760\"] \n  5 -> 11 [size =\"25973760\"]\n  5 -> 13 [size =\"25973760\"]\n  5 -> 15 [size =\"25973760\"]\n  5 -> 17 [size =\"25973760\"]\n  5 -> 19 [size =\"25973760\"]\n  6 [size=\"142578347\", alpha=\"0.17\", expect_size=\"42773504\"] \n  6 -> 13 [size =\"42773504\"]\n  6 -> 13 [size =\"42773504\"]\n  6 -> 14 [size =\"42773504\"]\n  6 -> 16 [size =\"42773504\"]\n  7 [size=\"65757867\", alpha=\"0.20\", expect_size=\"19727360\"] \n  7 -> 11 [size =\"19727360\"]\n  8 [size=\"127767893\", alpha=\"0.08\", expect_size=\"38330368\"] \n  8 -> 12 [size =\"38330368\"]\n  8 -> 19 [size =\"38330368\"]\n  9 [size=\"150954667\", alpha=\"0.19\", expect_size=\"45286400\"] \n  10 [size=\"24480427\", alpha=\"0.02\", expect_size=\"7344128\"] \n  10 -> 13 [size =\"7344128\"]\n  10 -> 15 [size =\"7344128\"]\n  10 -> 19 [size =\"7344128\"]\n  11 [size=\"23814827\", alpha=\"0.05\", expect_size=\"7144448\"] \n  11 -> 25 [size =\"7144448\"]\n  11 -> 28 [size =\"7144448\"]\n  12 [size=\"102789120\", alpha=\"0.12\", expect_size=\"30836736\"] \n  12 -> 21 [size =\"30836736\"]\n  12 -> 22 [size =\"30836736\"]\n  12 -> 23 [size =\"30836736\"]\n  12 -> 27 [size =\"30836736\"]\n  13 [size=\"58460160\", alpha=\"0.18\", expect_size=\"17538048\"] \n  13 -> 21 [size =\"17538048\"]\n  13 -> 23 [size =\"17538048\"]\n  13 -> 26 [size =\"17538048\"]\n  13 -> 28 [size =\"17538048\"]\n  14 [size=\"37690027\", alpha=\"0.17\", expect_size=\"11307008\"] \n  14 -> 23 [size =\"11307008\"]\n  14 -> 26 [size =\"11307008\"]\n  15 [size=\"27077973\", alpha=\"0.01\", expect_size=\"8123392\"] \n  15 -> 21 [size =\"8123392\"]\n  15 -> 27 [size =\"8123392\"]\n  15 -> 29 [size =\"8123392\"]\n  16 [size=\"111312213\", alpha=\"0.05\", expect_size=\"33393664\"] \n  16 -> 24 [size =\"33393664\"]\n  16 -> 25 [size =\"33393664\"]\n  17 [size=\"89610240\", alpha=\"0.05\", expect_size=\"26883072\"] \n  17 -> 23 [size =\"26883072\"]\n  17 -> 25 [size =\"26883072\"]\n  17 -> 26 [size =\"26883072\"]\n  17 -> 28 [size =\"26883072\"]\n  17 -> 29 [size =\"26883072\"]\n  18 [size=\"86528000\", alpha=\"0.09\", expect_size=\"25958400\"] \n  18 -> 28 [size =\"25958400\"]\n  19 [size=\"151173120\", alpha=\"0.18\", expect_size=\"45351936\"] \n  19 -> 20 [size =\"45351936\"]\n  19 -> 22 [size =\"45351936\"]\n  19 -> 27 [size =\"45351936\"]\n  20 [size=\"145104213\", alpha=\"0.08\", expect_size=\"43531264\"] \n  20 -> 32 [size =\"43531264\"]\n  20 -> 36 [size =\"43531264\"]\n  20 -> 40 [size =\"43531264\"]\n  21 [size=\"159631360\", alpha=\"0.06\", expect_size=\"47889408\"] \n  21 -> 30 [size =\"47889408\"]\n  21 -> 34 [size =\"47889408\"]\n  21 -> 35 [size =\"47889408\"]\n  21 -> 38 [size =\"47889408\"]\n  21 -> 39 [size =\"47889408\"]\n  22 [size=\"44178773\", alpha=\"0.20\", expect_size=\"13253632\"] \n  22 -> 34 [size =\"13253632\"]\n  23 [size=\"139871573\", alpha=\"0.05\", expect_size=\"41961472\"] \n  23 -> 35 [size =\"41961472\"]\n  24 [size=\"123060907\", alpha=\"0.08\", expect_size=\"36918272\"] \n  24 -> 33 [size =\"36918272\"]\n  24 -> 34 [size =\"36918272\"]\n  24 -> 36 [size =\"36918272\"]\n  24 -> 37 [size =\"36918272\"]\n  24 -> 38 [size =\"36918272\"]\n  25 [size=\"97689600\", alpha=\"0.00\", expect_size=\"29306880\"] \n  25 -> 31 [size =\"29306880\"]\n  25 -> 33 [size =\"29306880\"]\n  25 -> 37 [size =\"29306880\"]\n  25 -> 37 [size =\"29306880\"]\n  25 -> 38 [size =\"29306880\"]\n  25 -> 39 [size =\"29306880\"]\n  26 [size=\"104762027\", alpha=\"0.08\", expect_size=\"31428608\"] \n  26 -> 32 [size =\"31428608\"]\n  26 -> 33 [size =\"31428608\"]\n  26 -> 37 [size =\"31428608\"]\n  26 -> 40 [size =\"31428608\"]\n  27 [size=\"142622720\", alpha=\"0.03\", expect_size=\"42786816\"] \n  27 -> 35 [size =\"42786816\"]\n  27 -> 36 [size =\"42786816\"]\n  28 [size=\"21896533\", alpha=\"0.11\", expect_size=\"6568960\"] \n  28 -> 32 [size =\"6568960\"]\n  28 -> 34 [size =\"6568960\"]\n  28 -> 35 [size =\"6568960\"]\n  28 -> 36 [size =\"6568960\"]\n  29 [size=\"91815253\", alpha=\"0.16\", expect_size=\"27544576\"] \n  29 -> 34 [size =\"27544576\"]\n  29 -> 35 [size =\"27544576\"]\n  29 -> 36 [size =\"27544576\"]\n  29 -> 38 [size =\"27544576\"]\n  29 -> 39 [size =\"27544576\"]\n  30 [size=\"75076267\", alpha=\"0.02\", expect_size=\"22522880\"] \n  31 [size=\"141062827\", alpha=\"0.09\", expect_size=\"42318848\"] \n  32 [size=\"29300053\", alpha=\"0.07\", expect_size=\"8790016\"] \n  33 [size=\"26053973\", alpha=\"0.10\", expect_size=\"7816192\"] \n  34 [size=\"63102293\", alpha=\"0.16\", expect_size=\"18930688\"] \n  35 [size=\"126935040\", alpha=\"0.02\", expect_size=\"38080512\"] \n  36 [size=\"129378987\", alpha=\"0.01\", expect_size=\"38813696\"] \n  37 [size=\"38246400\", alpha=\"0.09\", expect_size=\"11473920\"] \n  38 [size=\"59108693\", alpha=\"0.06\", expect_size=\"17732608\"] \n  39 [size=\"144974507\", alpha=\"0.19\", expect_size=\"43492352\"] \n  40 [size=\"114746027\", alpha=\"0.09\", expect_size=\"34423808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40748373\", alpha=\"0.01\", expect_size=\"12224512\"] \n  1 -> 2 [size =\"12224512\"]\n  2 [size=\"144650240\", alpha=\"0.10\", expect_size=\"43395072\"] \n  2 -> 3 [size =\"43395072\"]\n  3 [size=\"119463253\", alpha=\"0.14\", expect_size=\"35838976\"] \n  3 -> 4 [size =\"35838976\"]\n  4 [size=\"104966827\", alpha=\"0.11\", expect_size=\"31490048\"] \n  4 -> 5 [size =\"31490048\"]\n  5 [size=\"19046400\", alpha=\"0.05\", expect_size=\"5713920\"] \n  5 -> 6 [size =\"5713920\"]\n  6 [size=\"163720533\", alpha=\"0.17\", expect_size=\"49116160\"] \n  6 -> 7 [size =\"49116160\"]\n  7 [size=\"50261333\", alpha=\"0.08\", expect_size=\"15078400\"] \n  7 -> 8 [size =\"15078400\"]\n  8 [size=\"76366507\", alpha=\"0.08\", expect_size=\"22909952\"] \n  8 -> 9 [size =\"22909952\"]\n  9 [size=\"138868053\", alpha=\"0.11\", expect_size=\"41660416\"] \n  9 -> 10 [size =\"41660416\"]\n  10 [size=\"139963733\", alpha=\"0.02\", expect_size=\"41989120\"] \n  10 -> 11 [size =\"41989120\"]\n  11 [size=\"132713813\", alpha=\"0.05\", expect_size=\"39814144\"] \n  11 -> 12 [size =\"39814144\"]\n  12 [size=\"141359787\", alpha=\"0.09\", expect_size=\"42407936\"] \n  12 -> 13 [size =\"42407936\"]\n  13 [size=\"58801493\", alpha=\"0.18\", expect_size=\"17640448\"] \n  13 -> 14 [size =\"17640448\"]\n  14 [size=\"168898560\", alpha=\"0.19\", expect_size=\"50669568\"] \n  14 -> 15 [size =\"50669568\"]\n  15 [size=\"94795093\", alpha=\"0.14\", expect_size=\"28438528\"] \n  15 -> 16 [size =\"28438528\"]\n  16 [size=\"134027947\", alpha=\"0.02\", expect_size=\"40208384\"] \n  16 -> 17 [size =\"40208384\"]\n  17 [size=\"112848213\", alpha=\"0.01\", expect_size=\"33854464\"] \n  17 -> 18 [size =\"33854464\"]\n  18 [size=\"22203733\", alpha=\"0.17\", expect_size=\"6661120\"] \n  18 -> 19 [size =\"6661120\"]\n  19 [size=\"82261333\", alpha=\"0.15\", expect_size=\"24678400\"] \n  19 -> 20 [size =\"24678400\"]\n  20 [size=\"168448000\", alpha=\"0.08\", expect_size=\"50534400\"] \n  20 -> 21 [size =\"50534400\"]\n  21 [size=\"29931520\", alpha=\"0.05\", expect_size=\"8979456\"] \n  21 -> 22 [size =\"8979456\"]\n  22 [size=\"72389973\", alpha=\"0.17\", expect_size=\"21716992\"] \n  22 -> 23 [size =\"21716992\"]\n  23 [size=\"140171947\", alpha=\"0.02\", expect_size=\"42051584\"] \n  23 -> 24 [size =\"42051584\"]\n  24 [size=\"122176853\", alpha=\"0.19\", expect_size=\"36653056\"] \n  24 -> 25 [size =\"36653056\"]\n  25 [size=\"114053120\", alpha=\"0.15\", expect_size=\"34215936\"] \n  25 -> 26 [size =\"34215936\"]\n  26 [size=\"68471467\", alpha=\"0.11\", expect_size=\"20541440\"] \n  26 -> 27 [size =\"20541440\"]\n  27 [size=\"86606507\", alpha=\"0.10\", expect_size=\"25981952\"] \n  27 -> 28 [size =\"25981952\"]\n  28 [size=\"91910827\", alpha=\"0.17\", expect_size=\"27573248\"] \n  28 -> 29 [size =\"27573248\"]\n  29 [size=\"72004267\", alpha=\"0.19\", expect_size=\"21601280\"] \n  29 -> 30 [size =\"21601280\"]\n  30 [size=\"34996907\", alpha=\"0.17\", expect_size=\"10499072\"] \n  30 -> 31 [size =\"10499072\"]\n  31 [size=\"101806080\", alpha=\"0.10\", expect_size=\"30541824\"] \n  31 -> 32 [size =\"30541824\"]\n  32 [size=\"138424320\", alpha=\"0.18\", expect_size=\"41527296\"] \n  32 -> 33 [size =\"41527296\"]\n  33 [size=\"114742613\", alpha=\"0.11\", expect_size=\"34422784\"] \n  33 -> 34 [size =\"34422784\"]\n  34 [size=\"132741120\", alpha=\"0.04\", expect_size=\"39822336\"] \n  34 -> 35 [size =\"39822336\"]\n  35 [size=\"122634240\", alpha=\"0.07\", expect_size=\"36790272\"] \n  35 -> 36 [size =\"36790272\"]\n  36 [size=\"85988693\", alpha=\"0.04\", expect_size=\"25796608\"] \n  36 -> 37 [size =\"25796608\"]\n  37 [size=\"169055573\", alpha=\"0.14\", expect_size=\"50716672\"] \n  37 -> 38 [size =\"50716672\"]\n  38 [size=\"90047147\", alpha=\"0.04\", expect_size=\"27014144\"] \n  38 -> 39 [size =\"27014144\"]\n  39 [size=\"65140053\", alpha=\"0.03\", expect_size=\"19542016\"] \n  39 -> 40 [size =\"19542016\"]\n  40 [size=\"58443093\", alpha=\"0.00\", expect_size=\"17532928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32969387\", alpha=\"0.06\", expect_size=\"9890816\"] \n  1 -> 2 [size =\"9890816\"]\n  2 [size=\"27917653\", alpha=\"0.14\", expect_size=\"8375296\"] \n  2 -> 3 [size =\"8375296\"]\n  3 [size=\"148203520\", alpha=\"0.09\", expect_size=\"44461056\"] \n  3 -> 4 [size =\"44461056\"]\n  4 [size=\"38260053\", alpha=\"0.18\", expect_size=\"11478016\"] \n  4 -> 5 [size =\"11478016\"]\n  5 [size=\"49295360\", alpha=\"0.18\", expect_size=\"14788608\"] \n  5 -> 6 [size =\"14788608\"]\n  6 [size=\"110363307\", alpha=\"0.08\", expect_size=\"33108992\"] \n  6 -> 7 [size =\"33108992\"]\n  7 [size=\"60081493\", alpha=\"0.12\", expect_size=\"18024448\"] \n  7 -> 8 [size =\"18024448\"]\n  8 [size=\"45950293\", alpha=\"0.10\", expect_size=\"13785088\"] \n  8 -> 9 [size =\"13785088\"]\n  9 [size=\"85002240\", alpha=\"0.00\", expect_size=\"25500672\"] \n  9 -> 10 [size =\"25500672\"]\n  10 [size=\"53708800\", alpha=\"0.10\", expect_size=\"16112640\"] \n  10 -> 11 [size =\"16112640\"]\n  11 [size=\"31761067\", alpha=\"0.11\", expect_size=\"9528320\"] \n  11 -> 12 [size =\"9528320\"]\n  12 [size=\"76858027\", alpha=\"0.15\", expect_size=\"23057408\"] \n  12 -> 13 [size =\"23057408\"]\n  13 [size=\"28327253\", alpha=\"0.12\", expect_size=\"8498176\"] \n  13 -> 14 [size =\"8498176\"]\n  14 [size=\"98488320\", alpha=\"0.08\", expect_size=\"29546496\"] \n  14 -> 15 [size =\"29546496\"]\n  15 [size=\"86016000\", alpha=\"0.16\", expect_size=\"25804800\"] \n  15 -> 16 [size =\"25804800\"]\n  16 [size=\"67809280\", alpha=\"0.06\", expect_size=\"20342784\"] \n  16 -> 17 [size =\"20342784\"]\n  17 [size=\"133898240\", alpha=\"0.00\", expect_size=\"40169472\"] \n  17 -> 18 [size =\"40169472\"]\n  18 [size=\"71983787\", alpha=\"0.11\", expect_size=\"21595136\"] \n  18 -> 19 [size =\"21595136\"]\n  19 [size=\"153480533\", alpha=\"0.03\", expect_size=\"46044160\"] \n  19 -> 20 [size =\"46044160\"]\n  20 [size=\"154381653\", alpha=\"0.17\", expect_size=\"46314496\"] \n  20 -> 21 [size =\"46314496\"]\n  21 [size=\"73915733\", alpha=\"0.13\", expect_size=\"22174720\"] \n  21 -> 22 [size =\"22174720\"]\n  22 [size=\"163467947\", alpha=\"0.10\", expect_size=\"49040384\"] \n  22 -> 23 [size =\"49040384\"]\n  23 [size=\"126446933\", alpha=\"0.03\", expect_size=\"37934080\"] \n  23 -> 24 [size =\"37934080\"]\n  24 [size=\"66310827\", alpha=\"0.20\", expect_size=\"19893248\"] \n  24 -> 25 [size =\"19893248\"]\n  25 [size=\"129867093\", alpha=\"0.20\", expect_size=\"38960128\"] \n  25 -> 26 [size =\"38960128\"]\n  26 [size=\"98071893\", alpha=\"0.12\", expect_size=\"29421568\"] \n  26 -> 27 [size =\"29421568\"]\n  27 [size=\"144841387\", alpha=\"0.09\", expect_size=\"43452416\"] \n  27 -> 28 [size =\"43452416\"]\n  28 [size=\"144960853\", alpha=\"0.11\", expect_size=\"43488256\"] \n  28 -> 29 [size =\"43488256\"]\n  29 [size=\"71792640\", alpha=\"0.00\", expect_size=\"21537792\"] \n  29 -> 30 [size =\"21537792\"]\n  30 [size=\"98928640\", alpha=\"0.15\", expect_size=\"29678592\"] \n  30 -> 31 [size =\"29678592\"]\n  31 [size=\"76335787\", alpha=\"0.11\", expect_size=\"22900736\"] \n  31 -> 32 [size =\"22900736\"]\n  32 [size=\"19510613\", alpha=\"0.15\", expect_size=\"5853184\"] \n  32 -> 33 [size =\"5853184\"]\n  33 [size=\"96184320\", alpha=\"0.20\", expect_size=\"28855296\"] \n  33 -> 34 [size =\"28855296\"]\n  34 [size=\"122507947\", alpha=\"0.15\", expect_size=\"36752384\"] \n  34 -> 35 [size =\"36752384\"]\n  35 [size=\"119268693\", alpha=\"0.19\", expect_size=\"35780608\"] \n  35 -> 36 [size =\"35780608\"]\n  36 [size=\"118285653\", alpha=\"0.10\", expect_size=\"35485696\"] \n  36 -> 37 [size =\"35485696\"]\n  37 [size=\"55162880\", alpha=\"0.15\", expect_size=\"16548864\"] \n  37 -> 38 [size =\"16548864\"]\n  38 [size=\"129795413\", alpha=\"0.07\", expect_size=\"38938624\"] \n  38 -> 39 [size =\"38938624\"]\n  39 [size=\"56087893\", alpha=\"0.17\", expect_size=\"16826368\"] \n  39 -> 40 [size =\"16826368\"]\n  40 [size=\"58852693\", alpha=\"0.04\", expect_size=\"17655808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161245867\", alpha=\"0.10\", expect_size=\"48373760\"] \n  1 -> 18 [size =\"48373760\"]\n  1 -> 19 [size =\"48373760\"]\n  1 -> 23 [size =\"48373760\"]\n  2 [size=\"43496107\", alpha=\"0.13\", expect_size=\"13048832\"] \n  2 -> 19 [size =\"13048832\"]\n  2 -> 20 [size =\"13048832\"]\n  2 -> 22 [size =\"13048832\"]\n  3 [size=\"131167573\", alpha=\"0.05\", expect_size=\"39350272\"] \n  3 -> 18 [size =\"39350272\"]\n  3 -> 19 [size =\"39350272\"]\n  3 -> 22 [size =\"39350272\"]\n  4 [size=\"138885120\", alpha=\"0.08\", expect_size=\"41665536\"] \n  4 -> 22 [size =\"41665536\"]\n  5 [size=\"46701227\", alpha=\"0.16\", expect_size=\"14010368\"] \n  5 -> 17 [size =\"14010368\"]\n  5 -> 19 [size =\"14010368\"]\n  5 -> 21 [size =\"14010368\"]\n  6 [size=\"47342933\", alpha=\"0.03\", expect_size=\"14202880\"] \n  6 -> 19 [size =\"14202880\"]\n  6 -> 21 [size =\"14202880\"]\n  6 -> 21 [size =\"14202880\"]\n  6 -> 22 [size =\"14202880\"]\n  6 -> 23 [size =\"14202880\"]\n  7 [size=\"46097067\", alpha=\"0.14\", expect_size=\"13829120\"] \n  7 -> 21 [size =\"13829120\"]\n  7 -> 24 [size =\"13829120\"]\n  8 [size=\"151480320\", alpha=\"0.19\", expect_size=\"45444096\"] \n  8 -> 16 [size =\"45444096\"]\n  8 -> 19 [size =\"45444096\"]\n  8 -> 22 [size =\"45444096\"]\n  8 -> 24 [size =\"45444096\"]\n  9 [size=\"108291413\", alpha=\"0.17\", expect_size=\"32487424\"] \n  9 -> 18 [size =\"32487424\"]\n  9 -> 19 [size =\"32487424\"]\n  9 -> 21 [size =\"32487424\"]\n  9 -> 24 [size =\"32487424\"]\n  10 [size=\"41110187\", alpha=\"0.18\", expect_size=\"12333056\"] \n  10 -> 18 [size =\"12333056\"]\n  10 -> 19 [size =\"12333056\"]\n  10 -> 21 [size =\"12333056\"]\n  10 -> 22 [size =\"12333056\"]\n  10 -> 24 [size =\"12333056\"]\n  11 [size=\"32617813\", alpha=\"0.17\", expect_size=\"9785344\"] \n  11 -> 16 [size =\"9785344\"]\n  11 -> 18 [size =\"9785344\"]\n  11 -> 21 [size =\"9785344\"]\n  11 -> 22 [size =\"9785344\"]\n  11 -> 24 [size =\"9785344\"]\n  12 [size=\"110902613\", alpha=\"0.09\", expect_size=\"33270784\"] \n  12 -> 16 [size =\"33270784\"]\n  12 -> 21 [size =\"33270784\"]\n  12 -> 22 [size =\"33270784\"]\n  12 -> 22 [size =\"33270784\"]\n  13 [size=\"59733333\", alpha=\"0.01\", expect_size=\"17920000\"] \n  13 -> 16 [size =\"17920000\"]\n  13 -> 19 [size =\"17920000\"]\n  13 -> 21 [size =\"17920000\"]\n  13 -> 22 [size =\"17920000\"]\n  14 [size=\"99918507\", alpha=\"0.15\", expect_size=\"29975552\"] \n  14 -> 16 [size =\"29975552\"]\n  14 -> 21 [size =\"29975552\"]\n  15 [size=\"162013867\", alpha=\"0.06\", expect_size=\"48604160\"] \n  15 -> 18 [size =\"48604160\"]\n  15 -> 21 [size =\"48604160\"]\n  15 -> 22 [size =\"48604160\"]\n  16 [size=\"129239040\", alpha=\"0.11\", expect_size=\"38771712\"] \n  16 -> 25 [size =\"38771712\"]\n  16 -> 27 [size =\"38771712\"]\n  16 -> 29 [size =\"38771712\"]\n  16 -> 33 [size =\"38771712\"]\n  16 -> 36 [size =\"38771712\"]\n  16 -> 38 [size =\"38771712\"]\n  16 -> 39 [size =\"38771712\"]\n  16 -> 40 [size =\"38771712\"]\n  17 [size=\"149667840\", alpha=\"0.02\", expect_size=\"44900352\"] \n  17 -> 26 [size =\"44900352\"]\n  17 -> 27 [size =\"44900352\"]\n  17 -> 28 [size =\"44900352\"]\n  17 -> 33 [size =\"44900352\"]\n  17 -> 36 [size =\"44900352\"]\n  17 -> 37 [size =\"44900352\"]\n  17 -> 38 [size =\"44900352\"]\n  17 -> 39 [size =\"44900352\"]\n  18 [size=\"105413973\", alpha=\"0.13\", expect_size=\"31624192\"] \n  18 -> 25 [size =\"31624192\"]\n  18 -> 26 [size =\"31624192\"]\n  18 -> 27 [size =\"31624192\"]\n  18 -> 28 [size =\"31624192\"]\n  18 -> 33 [size =\"31624192\"]\n  18 -> 36 [size =\"31624192\"]\n  18 -> 39 [size =\"31624192\"]\n  19 [size=\"100857173\", alpha=\"0.01\", expect_size=\"30257152\"] \n  19 -> 27 [size =\"30257152\"]\n  19 -> 29 [size =\"30257152\"]\n  19 -> 30 [size =\"30257152\"]\n  19 -> 31 [size =\"30257152\"]\n  19 -> 32 [size =\"30257152\"]\n  19 -> 34 [size =\"30257152\"]\n  19 -> 38 [size =\"30257152\"]\n  19 -> 39 [size =\"30257152\"]\n  19 -> 40 [size =\"30257152\"]\n  20 [size=\"74530133\", alpha=\"0.06\", expect_size=\"22359040\"] \n  20 -> 26 [size =\"22359040\"]\n  20 -> 31 [size =\"22359040\"]\n  20 -> 33 [size =\"22359040\"]\n  20 -> 34 [size =\"22359040\"]\n  20 -> 37 [size =\"22359040\"]\n  20 -> 39 [size =\"22359040\"]\n  20 -> 40 [size =\"22359040\"]\n  21 [size=\"56910507\", alpha=\"0.09\", expect_size=\"17073152\"] \n  21 -> 30 [size =\"17073152\"]\n  21 -> 31 [size =\"17073152\"]\n  21 -> 34 [size =\"17073152\"]\n  21 -> 34 [size =\"17073152\"]\n  21 -> 36 [size =\"17073152\"]\n  21 -> 37 [size =\"17073152\"]\n  22 [size=\"31112533\", alpha=\"0.16\", expect_size=\"9333760\"] \n  22 -> 27 [size =\"9333760\"]\n  22 -> 30 [size =\"9333760\"]\n  22 -> 31 [size =\"9333760\"]\n  22 -> 33 [size =\"9333760\"]\n  22 -> 34 [size =\"9333760\"]\n  22 -> 36 [size =\"9333760\"]\n  22 -> 37 [size =\"9333760\"]\n  22 -> 38 [size =\"9333760\"]\n  23 [size=\"98088960\", alpha=\"0.16\", expect_size=\"29426688\"] \n  23 -> 27 [size =\"29426688\"]\n  23 -> 31 [size =\"29426688\"]\n  23 -> 37 [size =\"29426688\"]\n  23 -> 39 [size =\"29426688\"]\n  24 [size=\"105683627\", alpha=\"0.13\", expect_size=\"31705088\"] \n  24 -> 30 [size =\"31705088\"]\n  24 -> 33 [size =\"31705088\"]\n  24 -> 35 [size =\"31705088\"]\n  24 -> 36 [size =\"31705088\"]\n  24 -> 37 [size =\"31705088\"]\n  24 -> 40 [size =\"31705088\"]\n  25 [size=\"69833387\", alpha=\"0.13\", expect_size=\"20950016\"] \n  26 [size=\"116947627\", alpha=\"0.17\", expect_size=\"35084288\"] \n  27 [size=\"48346453\", alpha=\"0.04\", expect_size=\"14503936\"] \n  28 [size=\"61678933\", alpha=\"0.09\", expect_size=\"18503680\"] \n  29 [size=\"165140480\", alpha=\"0.05\", expect_size=\"49542144\"] \n  30 [size=\"173974187\", alpha=\"0.04\", expect_size=\"52192256\"] \n  31 [size=\"63689387\", alpha=\"0.05\", expect_size=\"19106816\"] \n  32 [size=\"135338667\", alpha=\"0.18\", expect_size=\"40601600\"] \n  33 [size=\"100375893\", alpha=\"0.16\", expect_size=\"30112768\"] \n  34 [size=\"72488960\", alpha=\"0.05\", expect_size=\"21746688\"] \n  35 [size=\"173090133\", alpha=\"0.12\", expect_size=\"51927040\"] \n  36 [size=\"116834987\", alpha=\"0.13\", expect_size=\"35050496\"] \n  37 [size=\"90880000\", alpha=\"0.11\", expect_size=\"27264000\"] \n  38 [size=\"123842560\", alpha=\"0.01\", expect_size=\"37152768\"] \n  39 [size=\"35160747\", alpha=\"0.01\", expect_size=\"10548224\"] \n  40 [size=\"72932693\", alpha=\"0.08\", expect_size=\"21879808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29788160\", alpha=\"0.16\", expect_size=\"8936448\"] \n  2 [size=\"57951573\", alpha=\"0.02\", expect_size=\"17385472\"] \n  2 -> 4 [size =\"17385472\"]\n  3 [size=\"117957973\", alpha=\"0.01\", expect_size=\"35387392\"] \n  3 -> 4 [size =\"35387392\"]\n  3 -> 5 [size =\"35387392\"]\n  4 [size=\"21070507\", alpha=\"0.14\", expect_size=\"6321152\"] \n  4 -> 7 [size =\"6321152\"]\n  5 [size=\"47486293\", alpha=\"0.10\", expect_size=\"14245888\"] \n  5 -> 6 [size =\"14245888\"]\n  5 -> 7 [size =\"14245888\"]\n  5 -> 8 [size =\"14245888\"]\n  6 [size=\"35358720\", alpha=\"0.07\", expect_size=\"10607616\"] \n  7 [size=\"173554347\", alpha=\"0.01\", expect_size=\"52066304\"] \n  7 -> 9 [size =\"52066304\"]\n  7 -> 10 [size =\"52066304\"]\n  7 -> 11 [size =\"52066304\"]\n  8 [size=\"56152747\", alpha=\"0.13\", expect_size=\"16845824\"] \n  9 [size=\"53469867\", alpha=\"0.18\", expect_size=\"16040960\"] \n  10 [size=\"129457493\", alpha=\"0.05\", expect_size=\"38837248\"] \n  10 -> 12 [size =\"38837248\"]\n  10 -> 13 [size =\"38837248\"]\n  11 [size=\"141001387\", alpha=\"0.07\", expect_size=\"42300416\"] \n  11 -> 12 [size =\"42300416\"]\n  11 -> 13 [size =\"42300416\"]\n  11 -> 14 [size =\"42300416\"]\n  12 [size=\"106383360\", alpha=\"0.04\", expect_size=\"31915008\"] \n  12 -> 15 [size =\"31915008\"]\n  13 [size=\"123204267\", alpha=\"0.01\", expect_size=\"36961280\"] \n  13 -> 17 [size =\"36961280\"]\n  14 [size=\"131884373\", alpha=\"0.03\", expect_size=\"39565312\"] \n  14 -> 16 [size =\"39565312\"]\n  15 [size=\"81670827\", alpha=\"0.09\", expect_size=\"24501248\"] \n  15 -> 19 [size =\"24501248\"]\n  16 [size=\"163126613\", alpha=\"0.00\", expect_size=\"48937984\"] \n  17 [size=\"64795307\", alpha=\"0.07\", expect_size=\"19438592\"] \n  17 -> 18 [size =\"19438592\"]\n  17 -> 19 [size =\"19438592\"]\n  18 [size=\"70830080\", alpha=\"0.03\", expect_size=\"21249024\"] \n  18 -> 20 [size =\"21249024\"]\n  18 -> 21 [size =\"21249024\"]\n  19 [size=\"170448213\", alpha=\"0.12\", expect_size=\"51134464\"] \n  19 -> 21 [size =\"51134464\"]\n  20 [size=\"151401813\", alpha=\"0.19\", expect_size=\"45420544\"] \n  20 -> 24 [size =\"45420544\"]\n  21 [size=\"33983147\", alpha=\"0.08\", expect_size=\"10194944\"] \n  21 -> 22 [size =\"10194944\"]\n  21 -> 23 [size =\"10194944\"]\n  21 -> 24 [size =\"10194944\"]\n  22 [size=\"88026453\", alpha=\"0.02\", expect_size=\"26407936\"] \n  22 -> 26 [size =\"26407936\"]\n  22 -> 27 [size =\"26407936\"]\n  23 [size=\"119029760\", alpha=\"0.08\", expect_size=\"35708928\"] \n  23 -> 25 [size =\"35708928\"]\n  23 -> 27 [size =\"35708928\"]\n  24 [size=\"124798293\", alpha=\"0.15\", expect_size=\"37439488\"] \n  24 -> 25 [size =\"37439488\"]\n  25 [size=\"147732480\", alpha=\"0.06\", expect_size=\"44319744\"] \n  25 -> 29 [size =\"44319744\"]\n  26 [size=\"58122240\", alpha=\"0.19\", expect_size=\"17436672\"] \n  26 -> 28 [size =\"17436672\"]\n  26 -> 30 [size =\"17436672\"]\n  27 [size=\"59880107\", alpha=\"0.12\", expect_size=\"17964032\"] \n  27 -> 28 [size =\"17964032\"]\n  27 -> 30 [size =\"17964032\"]\n  28 [size=\"114070187\", alpha=\"0.10\", expect_size=\"34221056\"] \n  28 -> 31 [size =\"34221056\"]\n  28 -> 32 [size =\"34221056\"]\n  29 [size=\"138564267\", alpha=\"0.12\", expect_size=\"41569280\"] \n  29 -> 32 [size =\"41569280\"]\n  30 [size=\"79032320\", alpha=\"0.09\", expect_size=\"23709696\"] \n  31 [size=\"74485760\", alpha=\"0.01\", expect_size=\"22345728\"] \n  31 -> 33 [size =\"22345728\"]\n  31 -> 34 [size =\"22345728\"]\n  32 [size=\"137229653\", alpha=\"0.04\", expect_size=\"41168896\"] \n  32 -> 33 [size =\"41168896\"]\n  32 -> 34 [size =\"41168896\"]\n  33 [size=\"150459733\", alpha=\"0.02\", expect_size=\"45137920\"] \n  33 -> 35 [size =\"45137920\"]\n  33 -> 36 [size =\"45137920\"]\n  34 [size=\"57371307\", alpha=\"0.13\", expect_size=\"17211392\"] \n  34 -> 35 [size =\"17211392\"]\n  34 -> 37 [size =\"17211392\"]\n  35 [size=\"18855253\", alpha=\"0.13\", expect_size=\"5656576\"] \n  35 -> 39 [size =\"5656576\"]\n  36 [size=\"64914773\", alpha=\"0.11\", expect_size=\"19474432\"] \n  36 -> 38 [size =\"19474432\"]\n  37 [size=\"56152747\", alpha=\"0.16\", expect_size=\"16845824\"] \n  37 -> 38 [size =\"16845824\"]\n  37 -> 39 [size =\"16845824\"]\n  38 [size=\"148647253\", alpha=\"0.07\", expect_size=\"44594176\"] \n  38 -> 40 [size =\"44594176\"]\n  39 [size=\"66501973\", alpha=\"0.17\", expect_size=\"19950592\"] \n  39 -> 40 [size =\"19950592\"]\n  40 [size=\"160286720\", alpha=\"0.05\", expect_size=\"48086016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100229120\", alpha=\"0.12\", expect_size=\"50114560\"] \n  1 -> 18 [size =\"50114560\"]\n  1 -> 22 [size =\"50114560\"]\n  1 -> 25 [size =\"50114560\"]\n  1 -> 27 [size =\"50114560\"]\n  1 -> 30 [size =\"50114560\"]\n  1 -> 33 [size =\"50114560\"]\n  1 -> 36 [size =\"50114560\"]\n  1 -> 38 [size =\"50114560\"]\n  1 -> 39 [size =\"50114560\"]\n  2 [size=\"19146752\", alpha=\"0.11\", expect_size=\"9573376\"] \n  2 -> 19 [size =\"9573376\"]\n  2 -> 22 [size =\"9573376\"]\n  2 -> 26 [size =\"9573376\"]\n  2 -> 33 [size =\"9573376\"]\n  2 -> 34 [size =\"9573376\"]\n  2 -> 38 [size =\"9573376\"]\n  3 [size=\"28407808\", alpha=\"0.13\", expect_size=\"14203904\"] \n  3 -> 19 [size =\"14203904\"]\n  3 -> 27 [size =\"14203904\"]\n  3 -> 33 [size =\"14203904\"]\n  4 [size=\"15224832\", alpha=\"0.09\", expect_size=\"7612416\"] \n  4 -> 19 [size =\"7612416\"]\n  4 -> 28 [size =\"7612416\"]\n  4 -> 30 [size =\"7612416\"]\n  4 -> 35 [size =\"7612416\"]\n  4 -> 38 [size =\"7612416\"]\n  4 -> 39 [size =\"7612416\"]\n  5 [size=\"89280512\", alpha=\"0.18\", expect_size=\"44640256\"] \n  5 -> 27 [size =\"44640256\"]\n  5 -> 32 [size =\"44640256\"]\n  5 -> 35 [size =\"44640256\"]\n  5 -> 36 [size =\"44640256\"]\n  5 -> 39 [size =\"44640256\"]\n  5 -> 40 [size =\"44640256\"]\n  6 [size=\"19113984\", alpha=\"0.11\", expect_size=\"9556992\"] \n  6 -> 19 [size =\"9556992\"]\n  6 -> 28 [size =\"9556992\"]\n  6 -> 32 [size =\"9556992\"]\n  6 -> 33 [size =\"9556992\"]\n  6 -> 34 [size =\"9556992\"]\n  6 -> 37 [size =\"9556992\"]\n  7 [size=\"54433792\", alpha=\"0.10\", expect_size=\"27216896\"] \n  7 -> 18 [size =\"27216896\"]\n  7 -> 19 [size =\"27216896\"]\n  7 -> 21 [size =\"27216896\"]\n  7 -> 28 [size =\"27216896\"]\n  7 -> 31 [size =\"27216896\"]\n  7 -> 33 [size =\"27216896\"]\n  7 -> 37 [size =\"27216896\"]\n  7 -> 39 [size =\"27216896\"]\n  8 [size=\"14542848\", alpha=\"0.09\", expect_size=\"7271424\"] \n  8 -> 19 [size =\"7271424\"]\n  8 -> 27 [size =\"7271424\"]\n  8 -> 28 [size =\"7271424\"]\n  8 -> 29 [size =\"7271424\"]\n  8 -> 31 [size =\"7271424\"]\n  8 -> 35 [size =\"7271424\"]\n  8 -> 37 [size =\"7271424\"]\n  8 -> 39 [size =\"7271424\"]\n  9 [size=\"56006656\", alpha=\"0.06\", expect_size=\"28003328\"] \n  9 -> 18 [size =\"28003328\"]\n  9 -> 28 [size =\"28003328\"]\n  9 -> 31 [size =\"28003328\"]\n  9 -> 35 [size =\"28003328\"]\n  9 -> 36 [size =\"28003328\"]\n  9 -> 38 [size =\"28003328\"]\n  9 -> 39 [size =\"28003328\"]\n  10 [size=\"91348992\", alpha=\"0.09\", expect_size=\"45674496\"] \n  10 -> 20 [size =\"45674496\"]\n  10 -> 22 [size =\"45674496\"]\n  10 -> 27 [size =\"45674496\"]\n  10 -> 28 [size =\"45674496\"]\n  10 -> 39 [size =\"45674496\"]\n  11 [size=\"54726656\", alpha=\"0.19\", expect_size=\"27363328\"] \n  11 -> 24 [size =\"27363328\"]\n  11 -> 35 [size =\"27363328\"]\n  11 -> 39 [size =\"27363328\"]\n  12 [size=\"17709056\", alpha=\"0.08\", expect_size=\"8854528\"] \n  12 -> 19 [size =\"8854528\"]\n  12 -> 22 [size =\"8854528\"]\n  12 -> 23 [size =\"8854528\"]\n  12 -> 25 [size =\"8854528\"]\n  12 -> 26 [size =\"8854528\"]\n  12 -> 28 [size =\"8854528\"]\n  12 -> 30 [size =\"8854528\"]\n  12 -> 33 [size =\"8854528\"]\n  12 -> 35 [size =\"8854528\"]\n  12 -> 37 [size =\"8854528\"]\n  12 -> 38 [size =\"8854528\"]\n  13 [size=\"69869568\", alpha=\"0.11\", expect_size=\"34934784\"] \n  13 -> 21 [size =\"34934784\"]\n  13 -> 22 [size =\"34934784\"]\n  13 -> 26 [size =\"34934784\"]\n  13 -> 27 [size =\"34934784\"]\n  13 -> 31 [size =\"34934784\"]\n  14 [size=\"37349376\", alpha=\"0.16\", expect_size=\"18674688\"] \n  14 -> 20 [size =\"18674688\"]\n  14 -> 27 [size =\"18674688\"]\n  14 -> 28 [size =\"18674688\"]\n  14 -> 35 [size =\"18674688\"]\n  15 [size=\"81305600\", alpha=\"0.16\", expect_size=\"40652800\"] \n  15 -> 25 [size =\"40652800\"]\n  15 -> 27 [size =\"40652800\"]\n  15 -> 35 [size =\"40652800\"]\n  15 -> 37 [size =\"40652800\"]\n  15 -> 40 [size =\"40652800\"]\n  16 [size=\"73361408\", alpha=\"0.09\", expect_size=\"36680704\"] \n  16 -> 20 [size =\"36680704\"]\n  16 -> 25 [size =\"36680704\"]\n  16 -> 28 [size =\"36680704\"]\n  16 -> 32 [size =\"36680704\"]\n  16 -> 35 [size =\"36680704\"]\n  16 -> 38 [size =\"36680704\"]\n  16 -> 40 [size =\"36680704\"]\n  17 [size=\"30937088\", alpha=\"0.12\", expect_size=\"15468544\"] \n  17 -> 21 [size =\"15468544\"]\n  17 -> 22 [size =\"15468544\"]\n  17 -> 24 [size =\"15468544\"]\n  17 -> 26 [size =\"15468544\"]\n  17 -> 30 [size =\"15468544\"]\n  18 [size=\"78888960\", alpha=\"0.12\", expect_size=\"39444480\"] \n  19 [size=\"25864192\", alpha=\"0.02\", expect_size=\"12932096\"] \n  20 [size=\"56463360\", alpha=\"0.16\", expect_size=\"28231680\"] \n  21 [size=\"99303424\", alpha=\"0.09\", expect_size=\"49651712\"] \n  22 [size=\"95617024\", alpha=\"0.04\", expect_size=\"47808512\"] \n  23 [size=\"41107456\", alpha=\"0.02\", expect_size=\"20553728\"] \n  24 [size=\"93753344\", alpha=\"0.02\", expect_size=\"46876672\"] \n  25 [size=\"77096960\", alpha=\"0.18\", expect_size=\"38548480\"] \n  26 [size=\"57487360\", alpha=\"0.16\", expect_size=\"28743680\"] \n  27 [size=\"98074624\", alpha=\"0.03\", expect_size=\"49037312\"] \n  28 [size=\"61415424\", alpha=\"0.11\", expect_size=\"30707712\"] \n  29 [size=\"22298624\", alpha=\"0.09\", expect_size=\"11149312\"] \n  30 [size=\"32585728\", alpha=\"0.04\", expect_size=\"16292864\"] \n  31 [size=\"13836288\", alpha=\"0.09\", expect_size=\"6918144\"] \n  32 [size=\"55797760\", alpha=\"0.14\", expect_size=\"27898880\"] \n  33 [size=\"72755200\", alpha=\"0.13\", expect_size=\"36377600\"] \n  34 [size=\"82636800\", alpha=\"0.17\", expect_size=\"41318400\"] \n  35 [size=\"90179584\", alpha=\"0.16\", expect_size=\"45089792\"] \n  36 [size=\"79806464\", alpha=\"0.09\", expect_size=\"39903232\"] \n  37 [size=\"60145664\", alpha=\"0.06\", expect_size=\"30072832\"] \n  38 [size=\"75149312\", alpha=\"0.17\", expect_size=\"37574656\"] \n  39 [size=\"34504704\", alpha=\"0.12\", expect_size=\"17252352\"] \n  40 [size=\"78102528\", alpha=\"0.16\", expect_size=\"39051264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16711680\", alpha=\"0.04\", expect_size=\"6684672\"] \n  1 -> 2 [size =\"6684672\"]\n  2 [size=\"84692480\", alpha=\"0.01\", expect_size=\"33876992\"] \n  2 -> 3 [size =\"33876992\"]\n  3 [size=\"13608960\", alpha=\"0.03\", expect_size=\"5443584\"] \n  3 -> 4 [size =\"5443584\"]\n  4 [size=\"76771840\", alpha=\"0.06\", expect_size=\"30708736\"] \n  4 -> 5 [size =\"30708736\"]\n  5 [size=\"112509440\", alpha=\"0.12\", expect_size=\"45003776\"] \n  5 -> 6 [size =\"45003776\"]\n  6 [size=\"47429120\", alpha=\"0.10\", expect_size=\"18971648\"] \n  6 -> 7 [size =\"18971648\"]\n  7 [size=\"98396160\", alpha=\"0.10\", expect_size=\"39358464\"] \n  7 -> 8 [size =\"39358464\"]\n  8 [size=\"32880640\", alpha=\"0.19\", expect_size=\"13152256\"] \n  8 -> 9 [size =\"13152256\"]\n  9 [size=\"33336320\", alpha=\"0.07\", expect_size=\"13334528\"] \n  9 -> 10 [size =\"13334528\"]\n  10 [size=\"97118720\", alpha=\"0.18\", expect_size=\"38847488\"] \n  10 -> 11 [size =\"38847488\"]\n  11 [size=\"19904000\", alpha=\"0.03\", expect_size=\"7961600\"] \n  11 -> 12 [size =\"7961600\"]\n  12 [size=\"46312960\", alpha=\"0.09\", expect_size=\"18525184\"] \n  12 -> 13 [size =\"18525184\"]\n  13 [size=\"51870720\", alpha=\"0.01\", expect_size=\"20748288\"] \n  13 -> 14 [size =\"20748288\"]\n  14 [size=\"72273920\", alpha=\"0.11\", expect_size=\"28909568\"] \n  14 -> 15 [size =\"28909568\"]\n  15 [size=\"106516480\", alpha=\"0.09\", expect_size=\"42606592\"] \n  15 -> 16 [size =\"42606592\"]\n  16 [size=\"57395200\", alpha=\"0.16\", expect_size=\"22958080\"] \n  16 -> 17 [size =\"22958080\"]\n  17 [size=\"115793920\", alpha=\"0.13\", expect_size=\"46317568\"] \n  17 -> 18 [size =\"46317568\"]\n  18 [size=\"55751680\", alpha=\"0.07\", expect_size=\"22300672\"] \n  18 -> 19 [size =\"22300672\"]\n  19 [size=\"47185920\", alpha=\"0.02\", expect_size=\"18874368\"] \n  19 -> 20 [size =\"18874368\"]\n  20 [size=\"87592960\", alpha=\"0.02\", expect_size=\"35037184\"] \n  20 -> 21 [size =\"35037184\"]\n  21 [size=\"76282880\", alpha=\"0.02\", expect_size=\"30513152\"] \n  21 -> 22 [size =\"30513152\"]\n  22 [size=\"93358080\", alpha=\"0.14\", expect_size=\"37343232\"] \n  22 -> 23 [size =\"37343232\"]\n  23 [size=\"29726720\", alpha=\"0.07\", expect_size=\"11890688\"] \n  23 -> 24 [size =\"11890688\"]\n  24 [size=\"37148160\", alpha=\"0.10\", expect_size=\"14859264\"] \n  24 -> 25 [size =\"14859264\"]\n  25 [size=\"101877760\", alpha=\"0.10\", expect_size=\"40751104\"] \n  25 -> 26 [size =\"40751104\"]\n  26 [size=\"38167040\", alpha=\"0.16\", expect_size=\"15266816\"] \n  26 -> 27 [size =\"15266816\"]\n  27 [size=\"130457600\", alpha=\"0.16\", expect_size=\"52183040\"] \n  27 -> 28 [size =\"52183040\"]\n  28 [size=\"87037440\", alpha=\"0.19\", expect_size=\"34814976\"] \n  28 -> 29 [size =\"34814976\"]\n  29 [size=\"129410560\", alpha=\"0.07\", expect_size=\"51764224\"] \n  29 -> 30 [size =\"51764224\"]\n  30 [size=\"25149440\", alpha=\"0.08\", expect_size=\"10059776\"] \n  30 -> 31 [size =\"10059776\"]\n  31 [size=\"36011520\", alpha=\"0.10\", expect_size=\"14404608\"] \n  31 -> 32 [size =\"14404608\"]\n  32 [size=\"47636480\", alpha=\"0.18\", expect_size=\"19054592\"] \n  32 -> 33 [size =\"19054592\"]\n  33 [size=\"13644800\", alpha=\"0.13\", expect_size=\"5457920\"] \n  33 -> 34 [size =\"5457920\"]\n  34 [size=\"52505600\", alpha=\"0.18\", expect_size=\"21002240\"] \n  34 -> 35 [size =\"21002240\"]\n  35 [size=\"109921280\", alpha=\"0.18\", expect_size=\"43968512\"] \n  35 -> 36 [size =\"43968512\"]\n  36 [size=\"49367040\", alpha=\"0.06\", expect_size=\"19746816\"] \n  36 -> 37 [size =\"19746816\"]\n  37 [size=\"23129600\", alpha=\"0.12\", expect_size=\"9251840\"] \n  37 -> 38 [size =\"9251840\"]\n  38 [size=\"116497920\", alpha=\"0.04\", expect_size=\"46599168\"] \n  38 -> 39 [size =\"46599168\"]\n  39 [size=\"113323520\", alpha=\"0.03\", expect_size=\"45329408\"] \n  39 -> 40 [size =\"45329408\"]\n  40 [size=\"33832960\", alpha=\"0.14\", expect_size=\"13533184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162618027\", alpha=\"0.04\", expect_size=\"48785408\"] \n  1 -> 7 [size =\"48785408\"]\n  1 -> 8 [size =\"48785408\"]\n  1 -> 12 [size =\"48785408\"]\n  2 [size=\"129327787\", alpha=\"0.04\", expect_size=\"38798336\"] \n  2 -> 7 [size =\"38798336\"]\n  2 -> 8 [size =\"38798336\"]\n  2 -> 11 [size =\"38798336\"]\n  2 -> 12 [size =\"38798336\"]\n  3 [size=\"146077013\", alpha=\"0.03\", expect_size=\"43823104\"] \n  3 -> 8 [size =\"43823104\"]\n  3 -> 9 [size =\"43823104\"]\n  3 -> 12 [size =\"43823104\"]\n  4 [size=\"122593280\", alpha=\"0.04\", expect_size=\"36777984\"] \n  4 -> 7 [size =\"36777984\"]\n  4 -> 8 [size =\"36777984\"]\n  4 -> 10 [size =\"36777984\"]\n  4 -> 12 [size =\"36777984\"]\n  5 [size=\"61399040\", alpha=\"0.07\", expect_size=\"18419712\"] \n  5 -> 7 [size =\"18419712\"]\n  5 -> 8 [size =\"18419712\"]\n  5 -> 10 [size =\"18419712\"]\n  6 [size=\"105045333\", alpha=\"0.18\", expect_size=\"31513600\"] \n  6 -> 7 [size =\"31513600\"]\n  6 -> 8 [size =\"31513600\"]\n  6 -> 10 [size =\"31513600\"]\n  6 -> 12 [size =\"31513600\"]\n  7 [size=\"73608533\", alpha=\"0.05\", expect_size=\"22082560\"] \n  7 -> 14 [size =\"22082560\"]\n  7 -> 15 [size =\"22082560\"]\n  7 -> 16 [size =\"22082560\"]\n  8 [size=\"120504320\", alpha=\"0.16\", expect_size=\"36151296\"] \n  8 -> 15 [size =\"36151296\"]\n  8 -> 15 [size =\"36151296\"]\n  9 [size=\"84807680\", alpha=\"0.12\", expect_size=\"25442304\"] \n  9 -> 15 [size =\"25442304\"]\n  10 [size=\"140540587\", alpha=\"0.00\", expect_size=\"42162176\"] \n  10 -> 14 [size =\"42162176\"]\n  10 -> 15 [size =\"42162176\"]\n  11 [size=\"100471467\", alpha=\"0.10\", expect_size=\"30141440\"] \n  11 -> 14 [size =\"30141440\"]\n  11 -> 16 [size =\"30141440\"]\n  12 [size=\"133188267\", alpha=\"0.18\", expect_size=\"39956480\"] \n  12 -> 13 [size =\"39956480\"]\n  12 -> 14 [size =\"39956480\"]\n  12 -> 15 [size =\"39956480\"]\n  12 -> 16 [size =\"39956480\"]\n  13 [size=\"163116373\", alpha=\"0.04\", expect_size=\"48934912\"] \n  13 -> 19 [size =\"48934912\"]\n  13 -> 20 [size =\"48934912\"]\n  13 -> 21 [size =\"48934912\"]\n  13 -> 23 [size =\"48934912\"]\n  14 [size=\"31440213\", alpha=\"0.03\", expect_size=\"9432064\"] \n  14 -> 18 [size =\"9432064\"]\n  14 -> 21 [size =\"9432064\"]\n  14 -> 22 [size =\"9432064\"]\n  14 -> 23 [size =\"9432064\"]\n  15 [size=\"66375680\", alpha=\"0.01\", expect_size=\"19912704\"] \n  15 -> 17 [size =\"19912704\"]\n  15 -> 18 [size =\"19912704\"]\n  15 -> 20 [size =\"19912704\"]\n  15 -> 22 [size =\"19912704\"]\n  15 -> 23 [size =\"19912704\"]\n  16 [size=\"121105067\", alpha=\"0.19\", expect_size=\"36331520\"] \n  16 -> 18 [size =\"36331520\"]\n  16 -> 18 [size =\"36331520\"]\n  16 -> 19 [size =\"36331520\"]\n  16 -> 20 [size =\"36331520\"]\n  16 -> 22 [size =\"36331520\"]\n  16 -> 23 [size =\"36331520\"]\n  17 [size=\"103639040\", alpha=\"0.06\", expect_size=\"31091712\"] \n  17 -> 25 [size =\"31091712\"]\n  17 -> 26 [size =\"31091712\"]\n  17 -> 27 [size =\"31091712\"]\n  18 [size=\"140407467\", alpha=\"0.20\", expect_size=\"42122240\"] \n  18 -> 24 [size =\"42122240\"]\n  18 -> 26 [size =\"42122240\"]\n  18 -> 27 [size =\"42122240\"]\n  18 -> 28 [size =\"42122240\"]\n  19 [size=\"109520213\", alpha=\"0.17\", expect_size=\"32856064\"] \n  19 -> 24 [size =\"32856064\"]\n  19 -> 26 [size =\"32856064\"]\n  19 -> 27 [size =\"32856064\"]\n  19 -> 28 [size =\"32856064\"]\n  20 [size=\"46421333\", alpha=\"0.04\", expect_size=\"13926400\"] \n  20 -> 24 [size =\"13926400\"]\n  20 -> 25 [size =\"13926400\"]\n  20 -> 26 [size =\"13926400\"]\n  20 -> 27 [size =\"13926400\"]\n  20 -> 28 [size =\"13926400\"]\n  21 [size=\"48544427\", alpha=\"0.10\", expect_size=\"14563328\"] \n  21 -> 24 [size =\"14563328\"]\n  21 -> 27 [size =\"14563328\"]\n  21 -> 28 [size =\"14563328\"]\n  22 [size=\"126924800\", alpha=\"0.09\", expect_size=\"38077440\"] \n  22 -> 24 [size =\"38077440\"]\n  22 -> 26 [size =\"38077440\"]\n  22 -> 27 [size =\"38077440\"]\n  22 -> 28 [size =\"38077440\"]\n  23 [size=\"108339200\", alpha=\"0.05\", expect_size=\"32501760\"] \n  23 -> 25 [size =\"32501760\"]\n  23 -> 27 [size =\"32501760\"]\n  23 -> 28 [size =\"32501760\"]\n  24 [size=\"140427947\", alpha=\"0.14\", expect_size=\"42128384\"] \n  24 -> 29 [size =\"42128384\"]\n  24 -> 30 [size =\"42128384\"]\n  24 -> 31 [size =\"42128384\"]\n  25 [size=\"161286827\", alpha=\"0.09\", expect_size=\"48386048\"] \n  25 -> 29 [size =\"48386048\"]\n  25 -> 31 [size =\"48386048\"]\n  25 -> 33 [size =\"48386048\"]\n  26 [size=\"169530027\", alpha=\"0.15\", expect_size=\"50859008\"] \n  26 -> 31 [size =\"50859008\"]\n  26 -> 32 [size =\"50859008\"]\n  26 -> 33 [size =\"50859008\"]\n  27 [size=\"164867413\", alpha=\"0.09\", expect_size=\"49460224\"] \n  27 -> 29 [size =\"49460224\"]\n  27 -> 33 [size =\"49460224\"]\n  28 [size=\"55787520\", alpha=\"0.15\", expect_size=\"16736256\"] \n  28 -> 29 [size =\"16736256\"]\n  28 -> 30 [size =\"16736256\"]\n  28 -> 31 [size =\"16736256\"]\n  29 [size=\"55743147\", alpha=\"0.10\", expect_size=\"16722944\"] \n  29 -> 34 [size =\"16722944\"]\n  29 -> 35 [size =\"16722944\"]\n  29 -> 38 [size =\"16722944\"]\n  30 [size=\"34003627\", alpha=\"0.00\", expect_size=\"10201088\"] \n  30 -> 37 [size =\"10201088\"]\n  30 -> 38 [size =\"10201088\"]\n  31 [size=\"66693120\", alpha=\"0.01\", expect_size=\"20007936\"] \n  31 -> 34 [size =\"20007936\"]\n  31 -> 35 [size =\"20007936\"]\n  31 -> 36 [size =\"20007936\"]\n  32 [size=\"141670400\", alpha=\"0.17\", expect_size=\"42501120\"] \n  32 -> 34 [size =\"42501120\"]\n  32 -> 35 [size =\"42501120\"]\n  32 -> 36 [size =\"42501120\"]\n  33 [size=\"56214187\", alpha=\"0.11\", expect_size=\"16864256\"] \n  33 -> 34 [size =\"16864256\"]\n  33 -> 35 [size =\"16864256\"]\n  33 -> 37 [size =\"16864256\"]\n  33 -> 38 [size =\"16864256\"]\n  34 [size=\"96215040\", alpha=\"0.07\", expect_size=\"28864512\"] \n  35 [size=\"52213760\", alpha=\"0.10\", expect_size=\"15664128\"] \n  36 [size=\"125426347\", alpha=\"0.05\", expect_size=\"37627904\"] \n  36 -> 40 [size =\"37627904\"]\n  37 [size=\"88849067\", alpha=\"0.11\", expect_size=\"26654720\"] \n  38 [size=\"155900587\", alpha=\"0.13\", expect_size=\"46770176\"] \n  38 -> 39 [size =\"46770176\"]\n  38 -> 40 [size =\"46770176\"]\n  39 [size=\"115042987\", alpha=\"0.07\", expect_size=\"34512896\"] \n  40 [size=\"33604267\", alpha=\"0.05\", expect_size=\"10081280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97740800\", alpha=\"0.04\", expect_size=\"48870400\"] \n  1 -> 2 [size =\"48870400\"]\n  2 [size=\"68112384\", alpha=\"0.20\", expect_size=\"34056192\"] \n  2 -> 3 [size =\"34056192\"]\n  3 [size=\"43708416\", alpha=\"0.04\", expect_size=\"21854208\"] \n  3 -> 4 [size =\"21854208\"]\n  4 [size=\"73445376\", alpha=\"0.02\", expect_size=\"36722688\"] \n  4 -> 5 [size =\"36722688\"]\n  5 [size=\"28928000\", alpha=\"0.18\", expect_size=\"14464000\"] \n  5 -> 6 [size =\"14464000\"]\n  6 [size=\"17324032\", alpha=\"0.03\", expect_size=\"8662016\"] \n  6 -> 7 [size =\"8662016\"]\n  7 [size=\"38721536\", alpha=\"0.09\", expect_size=\"19360768\"] \n  7 -> 8 [size =\"19360768\"]\n  8 [size=\"78761984\", alpha=\"0.06\", expect_size=\"39380992\"] \n  8 -> 9 [size =\"39380992\"]\n  9 [size=\"97400832\", alpha=\"0.18\", expect_size=\"48700416\"] \n  9 -> 10 [size =\"48700416\"]\n  10 [size=\"61710336\", alpha=\"0.16\", expect_size=\"30855168\"] \n  10 -> 11 [size =\"30855168\"]\n  11 [size=\"76222464\", alpha=\"0.09\", expect_size=\"38111232\"] \n  11 -> 12 [size =\"38111232\"]\n  12 [size=\"93794304\", alpha=\"0.08\", expect_size=\"46897152\"] \n  12 -> 13 [size =\"46897152\"]\n  13 [size=\"92260352\", alpha=\"0.07\", expect_size=\"46130176\"] \n  13 -> 14 [size =\"46130176\"]\n  14 [size=\"14524416\", alpha=\"0.17\", expect_size=\"7262208\"] \n  14 -> 15 [size =\"7262208\"]\n  15 [size=\"23463936\", alpha=\"0.01\", expect_size=\"11731968\"] \n  15 -> 16 [size =\"11731968\"]\n  16 [size=\"12771328\", alpha=\"0.13\", expect_size=\"6385664\"] \n  16 -> 17 [size =\"6385664\"]\n  17 [size=\"27328512\", alpha=\"0.03\", expect_size=\"13664256\"] \n  17 -> 18 [size =\"13664256\"]\n  18 [size=\"67532800\", alpha=\"0.07\", expect_size=\"33766400\"] \n  18 -> 19 [size =\"33766400\"]\n  19 [size=\"95320064\", alpha=\"0.04\", expect_size=\"47660032\"] \n  19 -> 20 [size =\"47660032\"]\n  20 [size=\"84221952\", alpha=\"0.06\", expect_size=\"42110976\"] \n  20 -> 21 [size =\"42110976\"]\n  21 [size=\"65564672\", alpha=\"0.06\", expect_size=\"32782336\"] \n  21 -> 22 [size =\"32782336\"]\n  22 [size=\"13223936\", alpha=\"0.19\", expect_size=\"6611968\"] \n  22 -> 23 [size =\"6611968\"]\n  23 [size=\"48900096\", alpha=\"0.19\", expect_size=\"24450048\"] \n  23 -> 24 [size =\"24450048\"]\n  24 [size=\"80238592\", alpha=\"0.12\", expect_size=\"40119296\"] \n  24 -> 25 [size =\"40119296\"]\n  25 [size=\"63895552\", alpha=\"0.09\", expect_size=\"31947776\"] \n  25 -> 26 [size =\"31947776\"]\n  26 [size=\"70467584\", alpha=\"0.07\", expect_size=\"35233792\"] \n  26 -> 27 [size =\"35233792\"]\n  27 [size=\"37828608\", alpha=\"0.12\", expect_size=\"18914304\"] \n  27 -> 28 [size =\"18914304\"]\n  28 [size=\"52099072\", alpha=\"0.10\", expect_size=\"26049536\"] \n  28 -> 29 [size =\"26049536\"]\n  29 [size=\"84869120\", alpha=\"0.08\", expect_size=\"42434560\"] \n  29 -> 30 [size =\"42434560\"]\n  30 [size=\"101597184\", alpha=\"0.16\", expect_size=\"50798592\"] \n  30 -> 31 [size =\"50798592\"]\n  31 [size=\"33445888\", alpha=\"0.18\", expect_size=\"16722944\"] \n  31 -> 32 [size =\"16722944\"]\n  32 [size=\"62040064\", alpha=\"0.18\", expect_size=\"31020032\"] \n  32 -> 33 [size =\"31020032\"]\n  33 [size=\"56264704\", alpha=\"0.15\", expect_size=\"28132352\"] \n  33 -> 34 [size =\"28132352\"]\n  34 [size=\"49342464\", alpha=\"0.13\", expect_size=\"24671232\"] \n  34 -> 35 [size =\"24671232\"]\n  35 [size=\"104235008\", alpha=\"0.14\", expect_size=\"52117504\"] \n  35 -> 36 [size =\"52117504\"]\n  36 [size=\"50642944\", alpha=\"0.15\", expect_size=\"25321472\"] \n  36 -> 37 [size =\"25321472\"]\n  37 [size=\"84148224\", alpha=\"0.20\", expect_size=\"42074112\"] \n  37 -> 38 [size =\"42074112\"]\n  38 [size=\"44242944\", alpha=\"0.16\", expect_size=\"22121472\"] \n  38 -> 39 [size =\"22121472\"]\n  39 [size=\"93577216\", alpha=\"0.11\", expect_size=\"46788608\"] \n  39 -> 40 [size =\"46788608\"]\n  40 [size=\"35952640\", alpha=\"0.02\", expect_size=\"17976320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99934720\", alpha=\"0.05\", expect_size=\"39973888\"] \n  1 -> 7 [size =\"39973888\"]\n  1 -> 8 [size =\"39973888\"]\n  2 [size=\"98311680\", alpha=\"0.03\", expect_size=\"39324672\"] \n  2 -> 5 [size =\"39324672\"]\n  2 -> 6 [size =\"39324672\"]\n  2 -> 7 [size =\"39324672\"]\n  3 [size=\"29493760\", alpha=\"0.18\", expect_size=\"11797504\"] \n  4 [size=\"115453440\", alpha=\"0.05\", expect_size=\"46181376\"] \n  5 [size=\"77647360\", alpha=\"0.14\", expect_size=\"31058944\"] \n  5 -> 9 [size =\"31058944\"]\n  5 -> 12 [size =\"31058944\"]\n  6 [size=\"98416640\", alpha=\"0.02\", expect_size=\"39366656\"] \n  6 -> 9 [size =\"39366656\"]\n  6 -> 10 [size =\"39366656\"]\n  6 -> 13 [size =\"39366656\"]\n  7 [size=\"62960640\", alpha=\"0.04\", expect_size=\"25184256\"] \n  7 -> 11 [size =\"25184256\"]\n  7 -> 13 [size =\"25184256\"]\n  8 [size=\"28047360\", alpha=\"0.08\", expect_size=\"11218944\"] \n  8 -> 11 [size =\"11218944\"]\n  8 -> 12 [size =\"11218944\"]\n  9 [size=\"63923200\", alpha=\"0.02\", expect_size=\"25569280\"] \n  9 -> 14 [size =\"25569280\"]\n  9 -> 15 [size =\"25569280\"]\n  9 -> 17 [size =\"25569280\"]\n  10 [size=\"101905920\", alpha=\"0.17\", expect_size=\"40762368\"] \n  10 -> 16 [size =\"40762368\"]\n  10 -> 19 [size =\"40762368\"]\n  10 -> 20 [size =\"40762368\"]\n  11 [size=\"52928000\", alpha=\"0.14\", expect_size=\"21171200\"] \n  11 -> 14 [size =\"21171200\"]\n  11 -> 18 [size =\"21171200\"]\n  12 [size=\"80916480\", alpha=\"0.10\", expect_size=\"32366592\"] \n  12 -> 20 [size =\"32366592\"]\n  13 [size=\"100456960\", alpha=\"0.06\", expect_size=\"40182784\"] \n  13 -> 16 [size =\"40182784\"]\n  13 -> 18 [size =\"40182784\"]\n  13 -> 19 [size =\"40182784\"]\n  14 [size=\"89927680\", alpha=\"0.05\", expect_size=\"35971072\"] \n  14 -> 23 [size =\"35971072\"]\n  15 [size=\"120977920\", alpha=\"0.04\", expect_size=\"48391168\"] \n  16 [size=\"87708160\", alpha=\"0.14\", expect_size=\"35083264\"] \n  16 -> 23 [size =\"35083264\"]\n  16 -> 24 [size =\"35083264\"]\n  17 [size=\"97881600\", alpha=\"0.09\", expect_size=\"39152640\"] \n  17 -> 22 [size =\"39152640\"]\n  17 -> 24 [size =\"39152640\"]\n  18 [size=\"119598080\", alpha=\"0.05\", expect_size=\"47839232\"] \n  18 -> 23 [size =\"47839232\"]\n  18 -> 24 [size =\"47839232\"]\n  19 [size=\"46794240\", alpha=\"0.11\", expect_size=\"18717696\"] \n  19 -> 21 [size =\"18717696\"]\n  19 -> 23 [size =\"18717696\"]\n  19 -> 24 [size =\"18717696\"]\n  20 [size=\"59466240\", alpha=\"0.16\", expect_size=\"23786496\"] \n  21 [size=\"44254720\", alpha=\"0.15\", expect_size=\"17701888\"] \n  21 -> 26 [size =\"17701888\"]\n  21 -> 28 [size =\"17701888\"]\n  21 -> 30 [size =\"17701888\"]\n  21 -> 31 [size =\"17701888\"]\n  21 -> 32 [size =\"17701888\"]\n  22 [size=\"126648320\", alpha=\"0.09\", expect_size=\"50659328\"] \n  22 -> 25 [size =\"50659328\"]\n  22 -> 26 [size =\"50659328\"]\n  22 -> 27 [size =\"50659328\"]\n  22 -> 29 [size =\"50659328\"]\n  23 [size=\"67745280\", alpha=\"0.06\", expect_size=\"27098112\"] \n  23 -> 29 [size =\"27098112\"]\n  24 [size=\"105128960\", alpha=\"0.00\", expect_size=\"42051584\"] \n  24 -> 32 [size =\"42051584\"]\n  25 [size=\"13754880\", alpha=\"0.05\", expect_size=\"5501952\"] \n  25 -> 34 [size =\"5501952\"]\n  26 [size=\"35253760\", alpha=\"0.05\", expect_size=\"14101504\"] \n  26 -> 34 [size =\"14101504\"]\n  26 -> 36 [size =\"14101504\"]\n  26 -> 37 [size =\"14101504\"]\n  26 -> 39 [size =\"14101504\"]\n  27 [size=\"115793920\", alpha=\"0.12\", expect_size=\"46317568\"] \n  27 -> 34 [size =\"46317568\"]\n  27 -> 38 [size =\"46317568\"]\n  28 [size=\"52828160\", alpha=\"0.03\", expect_size=\"21131264\"] \n  28 -> 33 [size =\"21131264\"]\n  28 -> 35 [size =\"21131264\"]\n  28 -> 38 [size =\"21131264\"]\n  29 [size=\"84321280\", alpha=\"0.02\", expect_size=\"33728512\"] \n  29 -> 35 [size =\"33728512\"]\n  29 -> 38 [size =\"33728512\"]\n  29 -> 39 [size =\"33728512\"]\n  30 [size=\"31165440\", alpha=\"0.16\", expect_size=\"12466176\"] \n  30 -> 33 [size =\"12466176\"]\n  30 -> 37 [size =\"12466176\"]\n  31 [size=\"124180480\", alpha=\"0.17\", expect_size=\"49672192\"] \n  31 -> 33 [size =\"49672192\"]\n  32 [size=\"96299520\", alpha=\"0.09\", expect_size=\"38519808\"] \n  32 -> 34 [size =\"38519808\"]\n  32 -> 39 [size =\"38519808\"]\n  33 [size=\"32729600\", alpha=\"0.17\", expect_size=\"13091840\"] \n  34 [size=\"67822080\", alpha=\"0.17\", expect_size=\"27128832\"] \n  34 -> 40 [size =\"27128832\"]\n  35 [size=\"67993600\", alpha=\"0.15\", expect_size=\"27197440\"] \n  35 -> 40 [size =\"27197440\"]\n  36 [size=\"97786880\", alpha=\"0.07\", expect_size=\"39114752\"] \n  36 -> 40 [size =\"39114752\"]\n  37 [size=\"124546560\", alpha=\"0.12\", expect_size=\"49818624\"] \n  37 -> 40 [size =\"49818624\"]\n  38 [size=\"80161280\", alpha=\"0.16\", expect_size=\"32064512\"] \n  39 [size=\"97541120\", alpha=\"0.05\", expect_size=\"39016448\"] \n  40 [size=\"109539840\", alpha=\"0.02\", expect_size=\"43815936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118425600\", alpha=\"0.05\", expect_size=\"35527680\"] \n  1 -> 6 [size =\"35527680\"]\n  1 -> 7 [size =\"35527680\"]\n  1 -> 10 [size =\"35527680\"]\n  2 [size=\"73314987\", alpha=\"0.18\", expect_size=\"21994496\"] \n  2 -> 7 [size =\"21994496\"]\n  2 -> 8 [size =\"21994496\"]\n  2 -> 9 [size =\"21994496\"]\n  2 -> 10 [size =\"21994496\"]\n  3 [size=\"61422933\", alpha=\"0.08\", expect_size=\"18426880\"] \n  3 -> 6 [size =\"18426880\"]\n  3 -> 7 [size =\"18426880\"]\n  3 -> 9 [size =\"18426880\"]\n  4 [size=\"52022613\", alpha=\"0.07\", expect_size=\"15606784\"] \n  4 -> 6 [size =\"15606784\"]\n  4 -> 9 [size =\"15606784\"]\n  5 [size=\"105813333\", alpha=\"0.03\", expect_size=\"31744000\"] \n  5 -> 6 [size =\"31744000\"]\n  5 -> 7 [size =\"31744000\"]\n  5 -> 9 [size =\"31744000\"]\n  6 [size=\"22603093\", alpha=\"0.06\", expect_size=\"6780928\"] \n  6 -> 13 [size =\"6780928\"]\n  6 -> 16 [size =\"6780928\"]\n  7 [size=\"125296640\", alpha=\"0.02\", expect_size=\"37588992\"] \n  7 -> 11 [size =\"37588992\"]\n  7 -> 13 [size =\"37588992\"]\n  7 -> 15 [size =\"37588992\"]\n  7 -> 16 [size =\"37588992\"]\n  8 [size=\"80056320\", alpha=\"0.02\", expect_size=\"24016896\"] \n  8 -> 11 [size =\"24016896\"]\n  8 -> 12 [size =\"24016896\"]\n  8 -> 14 [size =\"24016896\"]\n  8 -> 16 [size =\"24016896\"]\n  9 [size=\"146578773\", alpha=\"0.04\", expect_size=\"43973632\"] \n  9 -> 11 [size =\"43973632\"]\n  9 -> 14 [size =\"43973632\"]\n  9 -> 15 [size =\"43973632\"]\n  10 [size=\"160375467\", alpha=\"0.01\", expect_size=\"48112640\"] \n  10 -> 11 [size =\"48112640\"]\n  10 -> 13 [size =\"48112640\"]\n  10 -> 14 [size =\"48112640\"]\n  10 -> 15 [size =\"48112640\"]\n  10 -> 16 [size =\"48112640\"]\n  11 [size=\"148148907\", alpha=\"0.07\", expect_size=\"44444672\"] \n  11 -> 17 [size =\"44444672\"]\n  11 -> 20 [size =\"44444672\"]\n  12 [size=\"29006507\", alpha=\"0.17\", expect_size=\"8701952\"] \n  12 -> 17 [size =\"8701952\"]\n  12 -> 19 [size =\"8701952\"]\n  12 -> 20 [size =\"8701952\"]\n  12 -> 21 [size =\"8701952\"]\n  13 [size=\"169567573\", alpha=\"0.00\", expect_size=\"50870272\"] \n  13 -> 18 [size =\"50870272\"]\n  13 -> 21 [size =\"50870272\"]\n  14 [size=\"72878080\", alpha=\"0.14\", expect_size=\"21863424\"] \n  14 -> 18 [size =\"21863424\"]\n  14 -> 21 [size =\"21863424\"]\n  15 [size=\"130327893\", alpha=\"0.07\", expect_size=\"39098368\"] \n  15 -> 18 [size =\"39098368\"]\n  16 [size=\"154668373\", alpha=\"0.04\", expect_size=\"46400512\"] \n  16 -> 17 [size =\"46400512\"]\n  16 -> 18 [size =\"46400512\"]\n  16 -> 20 [size =\"46400512\"]\n  16 -> 21 [size =\"46400512\"]\n  17 [size=\"44813653\", alpha=\"0.06\", expect_size=\"13444096\"] \n  17 -> 22 [size =\"13444096\"]\n  17 -> 24 [size =\"13444096\"]\n  17 -> 26 [size =\"13444096\"]\n  18 [size=\"60392107\", alpha=\"0.19\", expect_size=\"18117632\"] \n  18 -> 23 [size =\"18117632\"]\n  18 -> 25 [size =\"18117632\"]\n  18 -> 26 [size =\"18117632\"]\n  19 [size=\"76465493\", alpha=\"0.10\", expect_size=\"22939648\"] \n  19 -> 22 [size =\"22939648\"]\n  19 -> 23 [size =\"22939648\"]\n  19 -> 26 [size =\"22939648\"]\n  20 [size=\"104383147\", alpha=\"0.07\", expect_size=\"31314944\"] \n  21 [size=\"110039040\", alpha=\"0.18\", expect_size=\"33011712\"] \n  21 -> 23 [size =\"33011712\"]\n  21 -> 26 [size =\"33011712\"]\n  22 [size=\"166519467\", alpha=\"0.16\", expect_size=\"49955840\"] \n  22 -> 30 [size =\"49955840\"]\n  23 [size=\"142503253\", alpha=\"0.20\", expect_size=\"42750976\"] \n  23 -> 29 [size =\"42750976\"]\n  23 -> 31 [size =\"42750976\"]\n  24 [size=\"143660373\", alpha=\"0.07\", expect_size=\"43098112\"] \n  24 -> 29 [size =\"43098112\"]\n  24 -> 30 [size =\"43098112\"]\n  24 -> 31 [size =\"43098112\"]\n  25 [size=\"97730560\", alpha=\"0.06\", expect_size=\"29319168\"] \n  25 -> 29 [size =\"29319168\"]\n  26 [size=\"151767040\", alpha=\"0.06\", expect_size=\"45530112\"] \n  26 -> 27 [size =\"45530112\"]\n  26 -> 28 [size =\"45530112\"]\n  27 [size=\"22504107\", alpha=\"0.20\", expect_size=\"6751232\"] \n  27 -> 34 [size =\"6751232\"]\n  27 -> 35 [size =\"6751232\"]\n  27 -> 36 [size =\"6751232\"]\n  28 [size=\"68710400\", alpha=\"0.01\", expect_size=\"20613120\"] \n  28 -> 32 [size =\"20613120\"]\n  28 -> 33 [size =\"20613120\"]\n  28 -> 35 [size =\"20613120\"]\n  28 -> 36 [size =\"20613120\"]\n  29 [size=\"60426240\", alpha=\"0.19\", expect_size=\"18127872\"] \n  29 -> 32 [size =\"18127872\"]\n  29 -> 33 [size =\"18127872\"]\n  29 -> 35 [size =\"18127872\"]\n  29 -> 37 [size =\"18127872\"]\n  30 [size=\"135693653\", alpha=\"0.15\", expect_size=\"40708096\"] \n  30 -> 34 [size =\"40708096\"]\n  30 -> 37 [size =\"40708096\"]\n  31 [size=\"37355520\", alpha=\"0.07\", expect_size=\"11206656\"] \n  31 -> 33 [size =\"11206656\"]\n  31 -> 35 [size =\"11206656\"]\n  32 [size=\"23644160\", alpha=\"0.02\", expect_size=\"7093248\"] \n  32 -> 40 [size =\"7093248\"]\n  33 [size=\"150401707\", alpha=\"0.15\", expect_size=\"45120512\"] \n  33 -> 38 [size =\"45120512\"]\n  34 [size=\"147005440\", alpha=\"0.15\", expect_size=\"44101632\"] \n  35 [size=\"47994880\", alpha=\"0.10\", expect_size=\"14398464\"] \n  35 -> 40 [size =\"14398464\"]\n  36 [size=\"99003733\", alpha=\"0.02\", expect_size=\"29701120\"] \n  36 -> 39 [size =\"29701120\"]\n  36 -> 40 [size =\"29701120\"]\n  37 [size=\"147869013\", alpha=\"0.18\", expect_size=\"44360704\"] \n  37 -> 38 [size =\"44360704\"]\n  37 -> 40 [size =\"44360704\"]\n  38 [size=\"145128107\", alpha=\"0.19\", expect_size=\"43538432\"] \n  39 [size=\"153361067\", alpha=\"0.08\", expect_size=\"46008320\"] \n  40 [size=\"144384000\", alpha=\"0.08\", expect_size=\"43315200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130143573\", alpha=\"0.06\", expect_size=\"39043072\"] \n  1 -> 20 [size =\"39043072\"]\n  1 -> 23 [size =\"39043072\"]\n  1 -> 24 [size =\"39043072\"]\n  1 -> 27 [size =\"39043072\"]\n  1 -> 29 [size =\"39043072\"]\n  1 -> 30 [size =\"39043072\"]\n  1 -> 35 [size =\"39043072\"]\n  1 -> 36 [size =\"39043072\"]\n  1 -> 38 [size =\"39043072\"]\n  1 -> 39 [size =\"39043072\"]\n  2 [size=\"108905813\", alpha=\"0.15\", expect_size=\"32671744\"] \n  2 -> 20 [size =\"32671744\"]\n  2 -> 21 [size =\"32671744\"]\n  2 -> 24 [size =\"32671744\"]\n  2 -> 25 [size =\"32671744\"]\n  2 -> 28 [size =\"32671744\"]\n  2 -> 29 [size =\"32671744\"]\n  2 -> 30 [size =\"32671744\"]\n  3 [size=\"95074987\", alpha=\"0.14\", expect_size=\"28522496\"] \n  3 -> 20 [size =\"28522496\"]\n  3 -> 22 [size =\"28522496\"]\n  3 -> 23 [size =\"28522496\"]\n  3 -> 24 [size =\"28522496\"]\n  3 -> 27 [size =\"28522496\"]\n  3 -> 29 [size =\"28522496\"]\n  3 -> 30 [size =\"28522496\"]\n  3 -> 35 [size =\"28522496\"]\n  3 -> 37 [size =\"28522496\"]\n  4 [size=\"142004907\", alpha=\"0.05\", expect_size=\"42601472\"] \n  4 -> 20 [size =\"42601472\"]\n  4 -> 22 [size =\"42601472\"]\n  4 -> 24 [size =\"42601472\"]\n  4 -> 27 [size =\"42601472\"]\n  4 -> 27 [size =\"42601472\"]\n  4 -> 34 [size =\"42601472\"]\n  4 -> 36 [size =\"42601472\"]\n  4 -> 39 [size =\"42601472\"]\n  5 [size=\"108731733\", alpha=\"0.05\", expect_size=\"32619520\"] \n  5 -> 20 [size =\"32619520\"]\n  5 -> 23 [size =\"32619520\"]\n  5 -> 27 [size =\"32619520\"]\n  5 -> 29 [size =\"32619520\"]\n  5 -> 31 [size =\"32619520\"]\n  5 -> 32 [size =\"32619520\"]\n  5 -> 34 [size =\"32619520\"]\n  5 -> 38 [size =\"32619520\"]\n  6 [size=\"31327573\", alpha=\"0.14\", expect_size=\"9398272\"] \n  6 -> 23 [size =\"9398272\"]\n  6 -> 27 [size =\"9398272\"]\n  6 -> 30 [size =\"9398272\"]\n  6 -> 32 [size =\"9398272\"]\n  6 -> 34 [size =\"9398272\"]\n  6 -> 35 [size =\"9398272\"]\n  7 [size=\"56009387\", alpha=\"0.06\", expect_size=\"16802816\"] \n  7 -> 20 [size =\"16802816\"]\n  7 -> 24 [size =\"16802816\"]\n  7 -> 25 [size =\"16802816\"]\n  7 -> 27 [size =\"16802816\"]\n  7 -> 29 [size =\"16802816\"]\n  7 -> 33 [size =\"16802816\"]\n  7 -> 36 [size =\"16802816\"]\n  7 -> 38 [size =\"16802816\"]\n  8 [size=\"142486187\", alpha=\"0.02\", expect_size=\"42745856\"] \n  8 -> 20 [size =\"42745856\"]\n  8 -> 22 [size =\"42745856\"]\n  8 -> 24 [size =\"42745856\"]\n  8 -> 27 [size =\"42745856\"]\n  8 -> 30 [size =\"42745856\"]\n  8 -> 36 [size =\"42745856\"]\n  8 -> 39 [size =\"42745856\"]\n  9 [size=\"18657280\", alpha=\"0.01\", expect_size=\"5597184\"] \n  9 -> 24 [size =\"5597184\"]\n  9 -> 27 [size =\"5597184\"]\n  9 -> 30 [size =\"5597184\"]\n  10 [size=\"78243840\", alpha=\"0.06\", expect_size=\"23473152\"] \n  10 -> 24 [size =\"23473152\"]\n  10 -> 25 [size =\"23473152\"]\n  10 -> 28 [size =\"23473152\"]\n  10 -> 30 [size =\"23473152\"]\n  10 -> 34 [size =\"23473152\"]\n  10 -> 37 [size =\"23473152\"]\n  10 -> 38 [size =\"23473152\"]\n  11 [size=\"154173440\", alpha=\"0.15\", expect_size=\"46252032\"] \n  11 -> 24 [size =\"46252032\"]\n  11 -> 25 [size =\"46252032\"]\n  11 -> 30 [size =\"46252032\"]\n  11 -> 30 [size =\"46252032\"]\n  11 -> 31 [size =\"46252032\"]\n  11 -> 34 [size =\"46252032\"]\n  11 -> 35 [size =\"46252032\"]\n  12 [size=\"45076480\", alpha=\"0.15\", expect_size=\"13522944\"] \n  12 -> 23 [size =\"13522944\"]\n  12 -> 27 [size =\"13522944\"]\n  12 -> 34 [size =\"13522944\"]\n  12 -> 37 [size =\"13522944\"]\n  12 -> 39 [size =\"13522944\"]\n  13 [size=\"163437227\", alpha=\"0.00\", expect_size=\"49031168\"] \n  13 -> 23 [size =\"49031168\"]\n  13 -> 26 [size =\"49031168\"]\n  13 -> 29 [size =\"49031168\"]\n  13 -> 30 [size =\"49031168\"]\n  13 -> 34 [size =\"49031168\"]\n  13 -> 36 [size =\"49031168\"]\n  13 -> 38 [size =\"49031168\"]\n  14 [size=\"112875520\", alpha=\"0.00\", expect_size=\"33862656\"] \n  14 -> 21 [size =\"33862656\"]\n  14 -> 22 [size =\"33862656\"]\n  14 -> 23 [size =\"33862656\"]\n  14 -> 24 [size =\"33862656\"]\n  14 -> 25 [size =\"33862656\"]\n  14 -> 27 [size =\"33862656\"]\n  14 -> 30 [size =\"33862656\"]\n  14 -> 31 [size =\"33862656\"]\n  14 -> 36 [size =\"33862656\"]\n  14 -> 38 [size =\"33862656\"]\n  15 [size=\"154142720\", alpha=\"0.05\", expect_size=\"46242816\"] \n  15 -> 20 [size =\"46242816\"]\n  15 -> 23 [size =\"46242816\"]\n  15 -> 25 [size =\"46242816\"]\n  15 -> 28 [size =\"46242816\"]\n  15 -> 29 [size =\"46242816\"]\n  15 -> 30 [size =\"46242816\"]\n  15 -> 36 [size =\"46242816\"]\n  15 -> 37 [size =\"46242816\"]\n  16 [size=\"35867307\", alpha=\"0.19\", expect_size=\"10760192\"] \n  16 -> 20 [size =\"10760192\"]\n  16 -> 23 [size =\"10760192\"]\n  16 -> 27 [size =\"10760192\"]\n  16 -> 28 [size =\"10760192\"]\n  16 -> 33 [size =\"10760192\"]\n  16 -> 36 [size =\"10760192\"]\n  16 -> 37 [size =\"10760192\"]\n  17 [size=\"146964480\", alpha=\"0.10\", expect_size=\"44089344\"] \n  17 -> 20 [size =\"44089344\"]\n  17 -> 27 [size =\"44089344\"]\n  17 -> 28 [size =\"44089344\"]\n  17 -> 28 [size =\"44089344\"]\n  17 -> 29 [size =\"44089344\"]\n  17 -> 33 [size =\"44089344\"]\n  17 -> 34 [size =\"44089344\"]\n  18 [size=\"32942080\", alpha=\"0.06\", expect_size=\"9882624\"] \n  18 -> 28 [size =\"9882624\"]\n  18 -> 35 [size =\"9882624\"]\n  19 [size=\"49544533\", alpha=\"0.01\", expect_size=\"14863360\"] \n  19 -> 23 [size =\"14863360\"]\n  19 -> 34 [size =\"14863360\"]\n  19 -> 35 [size =\"14863360\"]\n  19 -> 36 [size =\"14863360\"]\n  19 -> 37 [size =\"14863360\"]\n  19 -> 39 [size =\"14863360\"]\n  20 [size=\"53712213\", alpha=\"0.02\", expect_size=\"16113664\"] \n  20 -> 40 [size =\"16113664\"]\n  21 [size=\"97150293\", alpha=\"0.16\", expect_size=\"29145088\"] \n  21 -> 40 [size =\"29145088\"]\n  22 [size=\"55115093\", alpha=\"0.02\", expect_size=\"16534528\"] \n  23 [size=\"172465493\", alpha=\"0.18\", expect_size=\"51739648\"] \n  24 [size=\"173858133\", alpha=\"0.10\", expect_size=\"52157440\"] \n  24 -> 40 [size =\"52157440\"]\n  25 [size=\"17790293\", alpha=\"0.13\", expect_size=\"5337088\"] \n  25 -> 40 [size =\"5337088\"]\n  26 [size=\"58422613\", alpha=\"0.19\", expect_size=\"17526784\"] \n  26 -> 40 [size =\"17526784\"]\n  27 [size=\"50534400\", alpha=\"0.09\", expect_size=\"15160320\"] \n  27 -> 40 [size =\"15160320\"]\n  28 [size=\"131287040\", alpha=\"0.15\", expect_size=\"39386112\"] \n  28 -> 40 [size =\"39386112\"]\n  29 [size=\"17636693\", alpha=\"0.01\", expect_size=\"5291008\"] \n  29 -> 40 [size =\"5291008\"]\n  30 [size=\"28026880\", alpha=\"0.15\", expect_size=\"8408064\"] \n  30 -> 40 [size =\"8408064\"]\n  31 [size=\"39874560\", alpha=\"0.06\", expect_size=\"11962368\"] \n  32 [size=\"165847040\", alpha=\"0.01\", expect_size=\"49754112\"] \n  33 [size=\"25518080\", alpha=\"0.14\", expect_size=\"7655424\"] \n  33 -> 40 [size =\"7655424\"]\n  34 [size=\"168345600\", alpha=\"0.20\", expect_size=\"50503680\"] \n  35 [size=\"89719467\", alpha=\"0.02\", expect_size=\"26915840\"] \n  36 [size=\"38178133\", alpha=\"0.08\", expect_size=\"11453440\"] \n  37 [size=\"27583147\", alpha=\"0.09\", expect_size=\"8274944\"] \n  37 -> 40 [size =\"8274944\"]\n  38 [size=\"96460800\", alpha=\"0.13\", expect_size=\"28938240\"] \n  38 -> 40 [size =\"28938240\"]\n  39 [size=\"55255040\", alpha=\"0.01\", expect_size=\"16576512\"] \n  40 [size=\"62436693\", alpha=\"0.13\", expect_size=\"18731008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174165333\", alpha=\"0.05\", expect_size=\"52249600\"] \n  1 -> 3 [size =\"52249600\"]\n  1 -> 4 [size =\"52249600\"]\n  2 [size=\"170226347\", alpha=\"0.07\", expect_size=\"51067904\"] \n  2 -> 5 [size =\"51067904\"]\n  3 [size=\"151176533\", alpha=\"0.10\", expect_size=\"45352960\"] \n  4 [size=\"56876373\", alpha=\"0.10\", expect_size=\"17062912\"] \n  4 -> 7 [size =\"17062912\"]\n  5 [size=\"158235307\", alpha=\"0.13\", expect_size=\"47470592\"] \n  5 -> 6 [size =\"47470592\"]\n  6 [size=\"114152107\", alpha=\"0.04\", expect_size=\"34245632\"] \n  6 -> 8 [size =\"34245632\"]\n  7 [size=\"127955627\", alpha=\"0.01\", expect_size=\"38386688\"] \n  7 -> 9 [size =\"38386688\"]\n  7 -> 10 [size =\"38386688\"]\n  8 [size=\"88258560\", alpha=\"0.13\", expect_size=\"26477568\"] \n  8 -> 11 [size =\"26477568\"]\n  8 -> 13 [size =\"26477568\"]\n  9 [size=\"145336320\", alpha=\"0.18\", expect_size=\"43600896\"] \n  9 -> 12 [size =\"43600896\"]\n  10 [size=\"145561600\", alpha=\"0.10\", expect_size=\"43668480\"] \n  10 -> 11 [size =\"43668480\"]\n  10 -> 12 [size =\"43668480\"]\n  10 -> 13 [size =\"43668480\"]\n  11 [size=\"105335467\", alpha=\"0.12\", expect_size=\"31600640\"] \n  12 [size=\"148527787\", alpha=\"0.13\", expect_size=\"44558336\"] \n  12 -> 14 [size =\"44558336\"]\n  13 [size=\"46021973\", alpha=\"0.12\", expect_size=\"13806592\"] \n  13 -> 15 [size =\"13806592\"]\n  13 -> 16 [size =\"13806592\"]\n  14 [size=\"126767787\", alpha=\"0.06\", expect_size=\"38030336\"] \n  14 -> 18 [size =\"38030336\"]\n  15 [size=\"51220480\", alpha=\"0.15\", expect_size=\"15366144\"] \n  15 -> 17 [size =\"15366144\"]\n  16 [size=\"152961707\", alpha=\"0.13\", expect_size=\"45888512\"] \n  16 -> 17 [size =\"45888512\"]\n  16 -> 18 [size =\"45888512\"]\n  16 -> 19 [size =\"45888512\"]\n  17 [size=\"30306987\", alpha=\"0.08\", expect_size=\"9092096\"] \n  18 [size=\"36864000\", alpha=\"0.19\", expect_size=\"11059200\"] \n  18 -> 20 [size =\"11059200\"]\n  18 -> 22 [size =\"11059200\"]\n  19 [size=\"137717760\", alpha=\"0.03\", expect_size=\"41315328\"] \n  19 -> 21 [size =\"41315328\"]\n  19 -> 22 [size =\"41315328\"]\n  20 [size=\"124832427\", alpha=\"0.19\", expect_size=\"37449728\"] \n  21 [size=\"48496640\", alpha=\"0.15\", expect_size=\"14548992\"] \n  21 -> 23 [size =\"14548992\"]\n  22 [size=\"146237440\", alpha=\"0.11\", expect_size=\"43871232\"] \n  22 -> 24 [size =\"43871232\"]\n  23 [size=\"87760213\", alpha=\"0.03\", expect_size=\"26328064\"] \n  23 -> 27 [size =\"26328064\"]\n  24 [size=\"22869333\", alpha=\"0.00\", expect_size=\"6860800\"] \n  24 -> 25 [size =\"6860800\"]\n  24 -> 26 [size =\"6860800\"]\n  25 [size=\"69785600\", alpha=\"0.16\", expect_size=\"20935680\"] \n  25 -> 28 [size =\"20935680\"]\n  26 [size=\"31771307\", alpha=\"0.03\", expect_size=\"9531392\"] \n  26 -> 29 [size =\"9531392\"]\n  27 [size=\"134543360\", alpha=\"0.05\", expect_size=\"40363008\"] \n  27 -> 28 [size =\"40363008\"]\n  28 [size=\"40584533\", alpha=\"0.15\", expect_size=\"12175360\"] \n  29 [size=\"33112747\", alpha=\"0.02\", expect_size=\"9933824\"] \n  29 -> 30 [size =\"9933824\"]\n  29 -> 31 [size =\"9933824\"]\n  30 [size=\"58620587\", alpha=\"0.05\", expect_size=\"17586176\"] \n  31 [size=\"52824747\", alpha=\"0.20\", expect_size=\"15847424\"] \n  31 -> 32 [size =\"15847424\"]\n  31 -> 33 [size =\"15847424\"]\n  31 -> 34 [size =\"15847424\"]\n  32 [size=\"172417707\", alpha=\"0.11\", expect_size=\"51725312\"] \n  32 -> 35 [size =\"51725312\"]\n  32 -> 37 [size =\"51725312\"]\n  33 [size=\"98293760\", alpha=\"0.05\", expect_size=\"29488128\"] \n  33 -> 36 [size =\"29488128\"]\n  33 -> 37 [size =\"29488128\"]\n  34 [size=\"121436160\", alpha=\"0.14\", expect_size=\"36430848\"] \n  35 [size=\"123962027\", alpha=\"0.07\", expect_size=\"37188608\"] \n  35 -> 39 [size =\"37188608\"]\n  35 -> 40 [size =\"37188608\"]\n  36 [size=\"89347413\", alpha=\"0.17\", expect_size=\"26804224\"] \n  36 -> 38 [size =\"26804224\"]\n  37 [size=\"114271573\", alpha=\"0.09\", expect_size=\"34281472\"] \n  37 -> 39 [size =\"34281472\"]\n  38 [size=\"151927467\", alpha=\"0.03\", expect_size=\"45578240\"] \n  39 [size=\"115810987\", alpha=\"0.12\", expect_size=\"34743296\"] \n  40 [size=\"133792427\", alpha=\"0.15\", expect_size=\"40137728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71532544\", alpha=\"0.01\", expect_size=\"35766272\"] \n  1 -> 2 [size =\"35766272\"]\n  2 [size=\"14329856\", alpha=\"0.15\", expect_size=\"7164928\"] \n  2 -> 3 [size =\"7164928\"]\n  3 [size=\"53532672\", alpha=\"0.01\", expect_size=\"26766336\"] \n  3 -> 4 [size =\"26766336\"]\n  4 [size=\"87273472\", alpha=\"0.11\", expect_size=\"43636736\"] \n  4 -> 5 [size =\"43636736\"]\n  5 [size=\"83355648\", alpha=\"0.16\", expect_size=\"41677824\"] \n  5 -> 6 [size =\"41677824\"]\n  6 [size=\"103147520\", alpha=\"0.15\", expect_size=\"51573760\"] \n  6 -> 7 [size =\"51573760\"]\n  7 [size=\"82956288\", alpha=\"0.11\", expect_size=\"41478144\"] \n  7 -> 8 [size =\"41478144\"]\n  8 [size=\"68511744\", alpha=\"0.04\", expect_size=\"34255872\"] \n  8 -> 9 [size =\"34255872\"]\n  9 [size=\"72302592\", alpha=\"0.12\", expect_size=\"36151296\"] \n  9 -> 10 [size =\"36151296\"]\n  10 [size=\"46796800\", alpha=\"0.13\", expect_size=\"23398400\"] \n  10 -> 11 [size =\"23398400\"]\n  11 [size=\"66058240\", alpha=\"0.00\", expect_size=\"33029120\"] \n  11 -> 12 [size =\"33029120\"]\n  12 [size=\"68892672\", alpha=\"0.11\", expect_size=\"34446336\"] \n  12 -> 13 [size =\"34446336\"]\n  13 [size=\"46108672\", alpha=\"0.02\", expect_size=\"23054336\"] \n  13 -> 14 [size =\"23054336\"]\n  14 [size=\"52070400\", alpha=\"0.19\", expect_size=\"26035200\"] \n  14 -> 15 [size =\"26035200\"]\n  15 [size=\"104742912\", alpha=\"0.04\", expect_size=\"52371456\"] \n  15 -> 16 [size =\"52371456\"]\n  16 [size=\"87410688\", alpha=\"0.02\", expect_size=\"43705344\"] \n  16 -> 17 [size =\"43705344\"]\n  17 [size=\"64655360\", alpha=\"0.13\", expect_size=\"32327680\"] \n  17 -> 18 [size =\"32327680\"]\n  18 [size=\"21022720\", alpha=\"0.10\", expect_size=\"10511360\"] \n  18 -> 19 [size =\"10511360\"]\n  19 [size=\"41496576\", alpha=\"0.03\", expect_size=\"20748288\"] \n  19 -> 20 [size =\"20748288\"]\n  20 [size=\"96901120\", alpha=\"0.03\", expect_size=\"48450560\"] \n  20 -> 21 [size =\"48450560\"]\n  21 [size=\"63703040\", alpha=\"0.15\", expect_size=\"31851520\"] \n  21 -> 22 [size =\"31851520\"]\n  22 [size=\"64352256\", alpha=\"0.08\", expect_size=\"32176128\"] \n  22 -> 23 [size =\"32176128\"]\n  23 [size=\"23545856\", alpha=\"0.10\", expect_size=\"11772928\"] \n  23 -> 24 [size =\"11772928\"]\n  24 [size=\"33030144\", alpha=\"0.09\", expect_size=\"16515072\"] \n  24 -> 25 [size =\"16515072\"]\n  25 [size=\"29855744\", alpha=\"0.03\", expect_size=\"14927872\"] \n  25 -> 26 [size =\"14927872\"]\n  26 [size=\"48719872\", alpha=\"0.16\", expect_size=\"24359936\"] \n  26 -> 27 [size =\"24359936\"]\n  27 [size=\"58720256\", alpha=\"0.05\", expect_size=\"29360128\"] \n  27 -> 28 [size =\"29360128\"]\n  28 [size=\"26675200\", alpha=\"0.06\", expect_size=\"13337600\"] \n  28 -> 29 [size =\"13337600\"]\n  29 [size=\"75315200\", alpha=\"0.01\", expect_size=\"37657600\"] \n  29 -> 30 [size =\"37657600\"]\n  30 [size=\"90910720\", alpha=\"0.03\", expect_size=\"45455360\"] \n  30 -> 31 [size =\"45455360\"]\n  31 [size=\"103444480\", alpha=\"0.17\", expect_size=\"51722240\"] \n  31 -> 32 [size =\"51722240\"]\n  32 [size=\"79589376\", alpha=\"0.03\", expect_size=\"39794688\"] \n  32 -> 33 [size =\"39794688\"]\n  33 [size=\"23191552\", alpha=\"0.17\", expect_size=\"11595776\"] \n  33 -> 34 [size =\"11595776\"]\n  34 [size=\"71671808\", alpha=\"0.19\", expect_size=\"35835904\"] \n  34 -> 35 [size =\"35835904\"]\n  35 [size=\"18704384\", alpha=\"0.02\", expect_size=\"9352192\"] \n  35 -> 36 [size =\"9352192\"]\n  36 [size=\"31531008\", alpha=\"0.01\", expect_size=\"15765504\"] \n  36 -> 37 [size =\"15765504\"]\n  37 [size=\"14069760\", alpha=\"0.11\", expect_size=\"7034880\"] \n  37 -> 38 [size =\"7034880\"]\n  38 [size=\"38795264\", alpha=\"0.03\", expect_size=\"19397632\"] \n  38 -> 39 [size =\"19397632\"]\n  39 [size=\"69361664\", alpha=\"0.02\", expect_size=\"34680832\"] \n  39 -> 40 [size =\"34680832\"]\n  40 [size=\"73213952\", alpha=\"0.20\", expect_size=\"36606976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18731008\", alpha=\"0.05\", expect_size=\"9365504\"] \n  1 -> 2 [size =\"9365504\"]\n  2 [size=\"84494336\", alpha=\"0.19\", expect_size=\"42247168\"] \n  2 -> 3 [size =\"42247168\"]\n  3 [size=\"68925440\", alpha=\"0.06\", expect_size=\"34462720\"] \n  3 -> 4 [size =\"34462720\"]\n  4 [size=\"91996160\", alpha=\"0.19\", expect_size=\"45998080\"] \n  4 -> 5 [size =\"45998080\"]\n  5 [size=\"51183616\", alpha=\"0.09\", expect_size=\"25591808\"] \n  5 -> 6 [size =\"25591808\"]\n  6 [size=\"20015104\", alpha=\"0.06\", expect_size=\"10007552\"] \n  6 -> 7 [size =\"10007552\"]\n  7 [size=\"36823040\", alpha=\"0.15\", expect_size=\"18411520\"] \n  7 -> 8 [size =\"18411520\"]\n  8 [size=\"44414976\", alpha=\"0.17\", expect_size=\"22207488\"] \n  8 -> 9 [size =\"22207488\"]\n  9 [size=\"33038336\", alpha=\"0.11\", expect_size=\"16519168\"] \n  9 -> 10 [size =\"16519168\"]\n  10 [size=\"34111488\", alpha=\"0.01\", expect_size=\"17055744\"] \n  10 -> 11 [size =\"17055744\"]\n  11 [size=\"90523648\", alpha=\"0.17\", expect_size=\"45261824\"] \n  11 -> 12 [size =\"45261824\"]\n  12 [size=\"19646464\", alpha=\"0.10\", expect_size=\"9823232\"] \n  12 -> 13 [size =\"9823232\"]\n  13 [size=\"16117760\", alpha=\"0.19\", expect_size=\"8058880\"] \n  13 -> 14 [size =\"8058880\"]\n  14 [size=\"44273664\", alpha=\"0.01\", expect_size=\"22136832\"] \n  14 -> 15 [size =\"22136832\"]\n  15 [size=\"38748160\", alpha=\"0.09\", expect_size=\"19374080\"] \n  15 -> 16 [size =\"19374080\"]\n  16 [size=\"80861184\", alpha=\"0.09\", expect_size=\"40430592\"] \n  16 -> 17 [size =\"40430592\"]\n  17 [size=\"16111616\", alpha=\"0.07\", expect_size=\"8055808\"] \n  17 -> 18 [size =\"8055808\"]\n  18 [size=\"84746240\", alpha=\"0.08\", expect_size=\"42373120\"] \n  18 -> 19 [size =\"42373120\"]\n  19 [size=\"72388608\", alpha=\"0.06\", expect_size=\"36194304\"] \n  19 -> 20 [size =\"36194304\"]\n  20 [size=\"31969280\", alpha=\"0.17\", expect_size=\"15984640\"] \n  20 -> 21 [size =\"15984640\"]\n  21 [size=\"37412864\", alpha=\"0.08\", expect_size=\"18706432\"] \n  21 -> 22 [size =\"18706432\"]\n  22 [size=\"24465408\", alpha=\"0.16\", expect_size=\"12232704\"] \n  22 -> 23 [size =\"12232704\"]\n  23 [size=\"69445632\", alpha=\"0.16\", expect_size=\"34722816\"] \n  23 -> 24 [size =\"34722816\"]\n  24 [size=\"62777344\", alpha=\"0.13\", expect_size=\"31388672\"] \n  24 -> 25 [size =\"31388672\"]\n  25 [size=\"66803712\", alpha=\"0.19\", expect_size=\"33401856\"] \n  25 -> 26 [size =\"33401856\"]\n  26 [size=\"13367296\", alpha=\"0.07\", expect_size=\"6683648\"] \n  26 -> 27 [size =\"6683648\"]\n  27 [size=\"56875008\", alpha=\"0.00\", expect_size=\"28437504\"] \n  27 -> 28 [size =\"28437504\"]\n  28 [size=\"87754752\", alpha=\"0.01\", expect_size=\"43877376\"] \n  28 -> 29 [size =\"43877376\"]\n  29 [size=\"31283200\", alpha=\"0.06\", expect_size=\"15641600\"] \n  29 -> 30 [size =\"15641600\"]\n  30 [size=\"61411328\", alpha=\"0.17\", expect_size=\"30705664\"] \n  30 -> 31 [size =\"30705664\"]\n  31 [size=\"44931072\", alpha=\"0.04\", expect_size=\"22465536\"] \n  31 -> 32 [size =\"22465536\"]\n  32 [size=\"84463616\", alpha=\"0.13\", expect_size=\"42231808\"] \n  32 -> 33 [size =\"42231808\"]\n  33 [size=\"65273856\", alpha=\"0.04\", expect_size=\"32636928\"] \n  33 -> 34 [size =\"32636928\"]\n  34 [size=\"45803520\", alpha=\"0.02\", expect_size=\"22901760\"] \n  34 -> 35 [size =\"22901760\"]\n  35 [size=\"13191168\", alpha=\"0.05\", expect_size=\"6595584\"] \n  35 -> 36 [size =\"6595584\"]\n  36 [size=\"102506496\", alpha=\"0.04\", expect_size=\"51253248\"] \n  36 -> 37 [size =\"51253248\"]\n  37 [size=\"40167424\", alpha=\"0.04\", expect_size=\"20083712\"] \n  37 -> 38 [size =\"20083712\"]\n  38 [size=\"41254912\", alpha=\"0.19\", expect_size=\"20627456\"] \n  38 -> 39 [size =\"20627456\"]\n  39 [size=\"45326336\", alpha=\"0.08\", expect_size=\"22663168\"] \n  39 -> 40 [size =\"22663168\"]\n  40 [size=\"74936320\", alpha=\"0.01\", expect_size=\"37468160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57883307\", alpha=\"0.17\", expect_size=\"17364992\"] \n  1 -> 4 [size =\"17364992\"]\n  2 [size=\"117241173\", alpha=\"0.16\", expect_size=\"35172352\"] \n  2 -> 6 [size =\"35172352\"]\n  3 [size=\"124484267\", alpha=\"0.05\", expect_size=\"37345280\"] \n  3 -> 5 [size =\"37345280\"]\n  4 [size=\"117234347\", alpha=\"0.06\", expect_size=\"35170304\"] \n  4 -> 7 [size =\"35170304\"]\n  4 -> 8 [size =\"35170304\"]\n  5 [size=\"108011520\", alpha=\"0.01\", expect_size=\"32403456\"] \n  5 -> 7 [size =\"32403456\"]\n  5 -> 8 [size =\"32403456\"]\n  6 [size=\"146486613\", alpha=\"0.12\", expect_size=\"43945984\"] \n  6 -> 7 [size =\"43945984\"]\n  7 [size=\"52998827\", alpha=\"0.10\", expect_size=\"15899648\"] \n  7 -> 10 [size =\"15899648\"]\n  8 [size=\"143431680\", alpha=\"0.08\", expect_size=\"43029504\"] \n  8 -> 9 [size =\"43029504\"]\n  8 -> 10 [size =\"43029504\"]\n  9 [size=\"174708053\", alpha=\"0.05\", expect_size=\"52412416\"] \n  9 -> 12 [size =\"52412416\"]\n  9 -> 13 [size =\"52412416\"]\n  10 [size=\"171011413\", alpha=\"0.03\", expect_size=\"51303424\"] \n  10 -> 11 [size =\"51303424\"]\n  10 -> 12 [size =\"51303424\"]\n  10 -> 13 [size =\"51303424\"]\n  11 [size=\"123572907\", alpha=\"0.17\", expect_size=\"37071872\"] \n  11 -> 15 [size =\"37071872\"]\n  11 -> 16 [size =\"37071872\"]\n  12 [size=\"102447787\", alpha=\"0.07\", expect_size=\"30734336\"] \n  13 [size=\"69273600\", alpha=\"0.10\", expect_size=\"20782080\"] \n  13 -> 14 [size =\"20782080\"]\n  13 -> 15 [size =\"20782080\"]\n  14 [size=\"108291413\", alpha=\"0.02\", expect_size=\"32487424\"] \n  14 -> 17 [size =\"32487424\"]\n  14 -> 18 [size =\"32487424\"]\n  15 [size=\"153552213\", alpha=\"0.12\", expect_size=\"46065664\"] \n  15 -> 17 [size =\"46065664\"]\n  15 -> 18 [size =\"46065664\"]\n  16 [size=\"160023893\", alpha=\"0.15\", expect_size=\"48007168\"] \n  16 -> 17 [size =\"48007168\"]\n  17 [size=\"96320853\", alpha=\"0.02\", expect_size=\"28896256\"] \n  17 -> 19 [size =\"28896256\"]\n  17 -> 20 [size =\"28896256\"]\n  17 -> 21 [size =\"28896256\"]\n  18 [size=\"21299200\", alpha=\"0.19\", expect_size=\"6389760\"] \n  18 -> 19 [size =\"6389760\"]\n  18 -> 20 [size =\"6389760\"]\n  18 -> 21 [size =\"6389760\"]\n  19 [size=\"83486720\", alpha=\"0.10\", expect_size=\"25046016\"] \n  19 -> 22 [size =\"25046016\"]\n  19 -> 23 [size =\"25046016\"]\n  20 [size=\"120009387\", alpha=\"0.10\", expect_size=\"36002816\"] \n  20 -> 23 [size =\"36002816\"]\n  21 [size=\"142513493\", alpha=\"0.16\", expect_size=\"42754048\"] \n  22 [size=\"117930667\", alpha=\"0.14\", expect_size=\"35379200\"] \n  22 -> 24 [size =\"35379200\"]\n  22 -> 26 [size =\"35379200\"]\n  23 [size=\"169284267\", alpha=\"0.06\", expect_size=\"50785280\"] \n  23 -> 24 [size =\"50785280\"]\n  23 -> 25 [size =\"50785280\"]\n  23 -> 26 [size =\"50785280\"]\n  24 [size=\"91962027\", alpha=\"0.11\", expect_size=\"27588608\"] \n  24 -> 27 [size =\"27588608\"]\n  24 -> 28 [size =\"27588608\"]\n  24 -> 29 [size =\"27588608\"]\n  25 [size=\"107991040\", alpha=\"0.07\", expect_size=\"32397312\"] \n  26 [size=\"48991573\", alpha=\"0.20\", expect_size=\"14697472\"] \n  26 -> 29 [size =\"14697472\"]\n  27 [size=\"164498773\", alpha=\"0.17\", expect_size=\"49349632\"] \n  27 -> 30 [size =\"49349632\"]\n  27 -> 31 [size =\"49349632\"]\n  28 [size=\"26074453\", alpha=\"0.10\", expect_size=\"7822336\"] \n  28 -> 30 [size =\"7822336\"]\n  28 -> 31 [size =\"7822336\"]\n  29 [size=\"21944320\", alpha=\"0.03\", expect_size=\"6583296\"] \n  29 -> 30 [size =\"6583296\"]\n  29 -> 31 [size =\"6583296\"]\n  29 -> 32 [size =\"6583296\"]\n  30 [size=\"100171093\", alpha=\"0.15\", expect_size=\"30051328\"] \n  30 -> 35 [size =\"30051328\"]\n  31 [size=\"25043627\", alpha=\"0.01\", expect_size=\"7513088\"] \n  31 -> 33 [size =\"7513088\"]\n  31 -> 34 [size =\"7513088\"]\n  32 [size=\"151552000\", alpha=\"0.18\", expect_size=\"45465600\"] \n  32 -> 33 [size =\"45465600\"]\n  32 -> 34 [size =\"45465600\"]\n  32 -> 35 [size =\"45465600\"]\n  33 [size=\"107598507\", alpha=\"0.02\", expect_size=\"32279552\"] \n  33 -> 36 [size =\"32279552\"]\n  33 -> 37 [size =\"32279552\"]\n  34 [size=\"157480960\", alpha=\"0.17\", expect_size=\"47244288\"] \n  34 -> 36 [size =\"47244288\"]\n  34 -> 37 [size =\"47244288\"]\n  35 [size=\"86384640\", alpha=\"0.09\", expect_size=\"25915392\"] \n  35 -> 36 [size =\"25915392\"]\n  35 -> 37 [size =\"25915392\"]\n  35 -> 38 [size =\"25915392\"]\n  36 [size=\"142131200\", alpha=\"0.20\", expect_size=\"42639360\"] \n  36 -> 39 [size =\"42639360\"]\n  36 -> 40 [size =\"42639360\"]\n  37 [size=\"139168427\", alpha=\"0.00\", expect_size=\"41750528\"] \n  37 -> 39 [size =\"41750528\"]\n  38 [size=\"113012053\", alpha=\"0.01\", expect_size=\"33903616\"] \n  38 -> 39 [size =\"33903616\"]\n  39 [size=\"32341333\", alpha=\"0.10\", expect_size=\"9702400\"] \n  40 [size=\"54381227\", alpha=\"0.13\", expect_size=\"16314368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13144064\", alpha=\"0.19\", expect_size=\"6572032\"] \n  1 -> 4 [size =\"6572032\"]\n  2 [size=\"38594560\", alpha=\"0.10\", expect_size=\"19297280\"] \n  2 -> 4 [size =\"19297280\"]\n  2 -> 5 [size =\"19297280\"]\n  2 -> 6 [size =\"19297280\"]\n  3 [size=\"20340736\", alpha=\"0.04\", expect_size=\"10170368\"] \n  4 [size=\"102963200\", alpha=\"0.04\", expect_size=\"51481600\"] \n  4 -> 7 [size =\"51481600\"]\n  5 [size=\"64126976\", alpha=\"0.01\", expect_size=\"32063488\"] \n  5 -> 8 [size =\"32063488\"]\n  6 [size=\"65470464\", alpha=\"0.17\", expect_size=\"32735232\"] \n  7 [size=\"67422208\", alpha=\"0.07\", expect_size=\"33711104\"] \n  7 -> 10 [size =\"33711104\"]\n  8 [size=\"97128448\", alpha=\"0.14\", expect_size=\"48564224\"] \n  8 -> 9 [size =\"48564224\"]\n  9 [size=\"31660032\", alpha=\"0.04\", expect_size=\"15830016\"] \n  9 -> 11 [size =\"15830016\"]\n  10 [size=\"49483776\", alpha=\"0.06\", expect_size=\"24741888\"] \n  10 -> 12 [size =\"24741888\"]\n  10 -> 13 [size =\"24741888\"]\n  11 [size=\"87513088\", alpha=\"0.02\", expect_size=\"43756544\"] \n  11 -> 14 [size =\"43756544\"]\n  12 [size=\"82262016\", alpha=\"0.14\", expect_size=\"41131008\"] \n  12 -> 15 [size =\"41131008\"]\n  13 [size=\"35356672\", alpha=\"0.15\", expect_size=\"17678336\"] \n  14 [size=\"56352768\", alpha=\"0.10\", expect_size=\"28176384\"] \n  14 -> 16 [size =\"28176384\"]\n  15 [size=\"73996288\", alpha=\"0.00\", expect_size=\"36998144\"] \n  15 -> 17 [size =\"36998144\"]\n  16 [size=\"80644096\", alpha=\"0.19\", expect_size=\"40322048\"] \n  16 -> 18 [size =\"40322048\"]\n  17 [size=\"68433920\", alpha=\"0.02\", expect_size=\"34216960\"] \n  17 -> 19 [size =\"34216960\"]\n  18 [size=\"100315136\", alpha=\"0.12\", expect_size=\"50157568\"] \n  18 -> 21 [size =\"50157568\"]\n  19 [size=\"71929856\", alpha=\"0.08\", expect_size=\"35964928\"] \n  19 -> 20 [size =\"35964928\"]\n  20 [size=\"92717056\", alpha=\"0.07\", expect_size=\"46358528\"] \n  20 -> 22 [size =\"46358528\"]\n  20 -> 23 [size =\"46358528\"]\n  21 [size=\"25888768\", alpha=\"0.07\", expect_size=\"12944384\"] \n  22 [size=\"36030464\", alpha=\"0.13\", expect_size=\"18015232\"] \n  23 [size=\"102627328\", alpha=\"0.02\", expect_size=\"51313664\"] \n  23 -> 24 [size =\"51313664\"]\n  23 -> 25 [size =\"51313664\"]\n  24 [size=\"80955392\", alpha=\"0.09\", expect_size=\"40477696\"] \n  24 -> 27 [size =\"40477696\"]\n  25 [size=\"33122304\", alpha=\"0.08\", expect_size=\"16561152\"] \n  25 -> 26 [size =\"16561152\"]\n  26 [size=\"35168256\", alpha=\"0.19\", expect_size=\"17584128\"] \n  26 -> 28 [size =\"17584128\"]\n  26 -> 29 [size =\"17584128\"]\n  27 [size=\"32284672\", alpha=\"0.02\", expect_size=\"16142336\"] \n  28 [size=\"42770432\", alpha=\"0.03\", expect_size=\"21385216\"] \n  28 -> 30 [size =\"21385216\"]\n  29 [size=\"99022848\", alpha=\"0.09\", expect_size=\"49511424\"] \n  29 -> 31 [size =\"49511424\"]\n  29 -> 32 [size =\"49511424\"]\n  30 [size=\"41476096\", alpha=\"0.03\", expect_size=\"20738048\"] \n  31 [size=\"76072960\", alpha=\"0.13\", expect_size=\"38036480\"] \n  31 -> 33 [size =\"38036480\"]\n  32 [size=\"16730112\", alpha=\"0.19\", expect_size=\"8365056\"] \n  32 -> 34 [size =\"8365056\"]\n  33 [size=\"80302080\", alpha=\"0.09\", expect_size=\"40151040\"] \n  33 -> 35 [size =\"40151040\"]\n  34 [size=\"87902208\", alpha=\"0.10\", expect_size=\"43951104\"] \n  34 -> 36 [size =\"43951104\"]\n  35 [size=\"37636096\", alpha=\"0.04\", expect_size=\"18818048\"] \n  35 -> 38 [size =\"18818048\"]\n  36 [size=\"77518848\", alpha=\"0.13\", expect_size=\"38759424\"] \n  36 -> 37 [size =\"38759424\"]\n  37 [size=\"73793536\", alpha=\"0.14\", expect_size=\"36896768\"] \n  37 -> 40 [size =\"36896768\"]\n  38 [size=\"83394560\", alpha=\"0.14\", expect_size=\"41697280\"] \n  38 -> 39 [size =\"41697280\"]\n  39 [size=\"98598912\", alpha=\"0.07\", expect_size=\"49299456\"] \n  40 [size=\"46204928\", alpha=\"0.17\", expect_size=\"23102464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63139840\", alpha=\"0.19\", expect_size=\"31569920\"] \n  1 -> 18 [size =\"31569920\"]\n  1 -> 20 [size =\"31569920\"]\n  1 -> 23 [size =\"31569920\"]\n  1 -> 25 [size =\"31569920\"]\n  1 -> 27 [size =\"31569920\"]\n  1 -> 28 [size =\"31569920\"]\n  1 -> 29 [size =\"31569920\"]\n  1 -> 30 [size =\"31569920\"]\n  1 -> 31 [size =\"31569920\"]\n  1 -> 33 [size =\"31569920\"]\n  2 [size=\"96751616\", alpha=\"0.08\", expect_size=\"48375808\"] \n  2 -> 15 [size =\"48375808\"]\n  2 -> 17 [size =\"48375808\"]\n  2 -> 23 [size =\"48375808\"]\n  2 -> 27 [size =\"48375808\"]\n  2 -> 28 [size =\"48375808\"]\n  2 -> 29 [size =\"48375808\"]\n  2 -> 31 [size =\"48375808\"]\n  2 -> 33 [size =\"48375808\"]\n  3 [size=\"11462656\", alpha=\"0.13\", expect_size=\"5731328\"] \n  3 -> 16 [size =\"5731328\"]\n  3 -> 17 [size =\"5731328\"]\n  3 -> 19 [size =\"5731328\"]\n  3 -> 21 [size =\"5731328\"]\n  3 -> 23 [size =\"5731328\"]\n  3 -> 28 [size =\"5731328\"]\n  3 -> 30 [size =\"5731328\"]\n  3 -> 33 [size =\"5731328\"]\n  4 [size=\"67954688\", alpha=\"0.13\", expect_size=\"33977344\"] \n  4 -> 17 [size =\"33977344\"]\n  4 -> 19 [size =\"33977344\"]\n  4 -> 20 [size =\"33977344\"]\n  4 -> 22 [size =\"33977344\"]\n  4 -> 23 [size =\"33977344\"]\n  4 -> 27 [size =\"33977344\"]\n  4 -> 28 [size =\"33977344\"]\n  4 -> 29 [size =\"33977344\"]\n  4 -> 30 [size =\"33977344\"]\n  4 -> 33 [size =\"33977344\"]\n  5 [size=\"66930688\", alpha=\"0.09\", expect_size=\"33465344\"] \n  5 -> 17 [size =\"33465344\"]\n  5 -> 33 [size =\"33465344\"]\n  6 [size=\"96409600\", alpha=\"0.12\", expect_size=\"48204800\"] \n  6 -> 19 [size =\"48204800\"]\n  6 -> 24 [size =\"48204800\"]\n  6 -> 26 [size =\"48204800\"]\n  6 -> 27 [size =\"48204800\"]\n  6 -> 28 [size =\"48204800\"]\n  6 -> 30 [size =\"48204800\"]\n  7 [size=\"95543296\", alpha=\"0.05\", expect_size=\"47771648\"] \n  7 -> 16 [size =\"47771648\"]\n  7 -> 17 [size =\"47771648\"]\n  7 -> 20 [size =\"47771648\"]\n  7 -> 25 [size =\"47771648\"]\n  7 -> 27 [size =\"47771648\"]\n  7 -> 28 [size =\"47771648\"]\n  7 -> 29 [size =\"47771648\"]\n  7 -> 30 [size =\"47771648\"]\n  7 -> 32 [size =\"47771648\"]\n  7 -> 33 [size =\"47771648\"]\n  8 [size=\"63102976\", alpha=\"0.03\", expect_size=\"31551488\"] \n  8 -> 18 [size =\"31551488\"]\n  8 -> 28 [size =\"31551488\"]\n  8 -> 29 [size =\"31551488\"]\n  8 -> 31 [size =\"31551488\"]\n  8 -> 32 [size =\"31551488\"]\n  9 [size=\"91981824\", alpha=\"0.06\", expect_size=\"45990912\"] \n  9 -> 23 [size =\"45990912\"]\n  9 -> 26 [size =\"45990912\"]\n  9 -> 27 [size =\"45990912\"]\n  9 -> 28 [size =\"45990912\"]\n  9 -> 32 [size =\"45990912\"]\n  9 -> 33 [size =\"45990912\"]\n  10 [size=\"37992448\", alpha=\"0.10\", expect_size=\"18996224\"] \n  10 -> 17 [size =\"18996224\"]\n  10 -> 19 [size =\"18996224\"]\n  10 -> 25 [size =\"18996224\"]\n  10 -> 26 [size =\"18996224\"]\n  10 -> 27 [size =\"18996224\"]\n  10 -> 31 [size =\"18996224\"]\n  11 [size=\"49088512\", alpha=\"0.04\", expect_size=\"24544256\"] \n  11 -> 17 [size =\"24544256\"]\n  11 -> 19 [size =\"24544256\"]\n  11 -> 20 [size =\"24544256\"]\n  11 -> 23 [size =\"24544256\"]\n  11 -> 24 [size =\"24544256\"]\n  11 -> 26 [size =\"24544256\"]\n  11 -> 27 [size =\"24544256\"]\n  11 -> 29 [size =\"24544256\"]\n  11 -> 31 [size =\"24544256\"]\n  11 -> 33 [size =\"24544256\"]\n  12 [size=\"45314048\", alpha=\"0.15\", expect_size=\"22657024\"] \n  12 -> 17 [size =\"22657024\"]\n  12 -> 18 [size =\"22657024\"]\n  12 -> 19 [size =\"22657024\"]\n  12 -> 24 [size =\"22657024\"]\n  12 -> 26 [size =\"22657024\"]\n  12 -> 26 [size =\"22657024\"]\n  12 -> 27 [size =\"22657024\"]\n  12 -> 29 [size =\"22657024\"]\n  12 -> 30 [size =\"22657024\"]\n  12 -> 31 [size =\"22657024\"]\n  12 -> 33 [size =\"22657024\"]\n  13 [size=\"85235712\", alpha=\"0.12\", expect_size=\"42617856\"] \n  13 -> 20 [size =\"42617856\"]\n  13 -> 24 [size =\"42617856\"]\n  13 -> 26 [size =\"42617856\"]\n  13 -> 29 [size =\"42617856\"]\n  14 [size=\"50022400\", alpha=\"0.05\", expect_size=\"25011200\"] \n  14 -> 20 [size =\"25011200\"]\n  14 -> 24 [size =\"25011200\"]\n  14 -> 26 [size =\"25011200\"]\n  14 -> 32 [size =\"25011200\"]\n  14 -> 33 [size =\"25011200\"]\n  15 [size=\"18720768\", alpha=\"0.13\", expect_size=\"9360384\"] \n  15 -> 34 [size =\"9360384\"]\n  15 -> 36 [size =\"9360384\"]\n  15 -> 38 [size =\"9360384\"]\n  16 [size=\"59033600\", alpha=\"0.16\", expect_size=\"29516800\"] \n  16 -> 34 [size =\"29516800\"]\n  16 -> 35 [size =\"29516800\"]\n  16 -> 36 [size =\"29516800\"]\n  16 -> 38 [size =\"29516800\"]\n  17 [size=\"19773440\", alpha=\"0.16\", expect_size=\"9886720\"] \n  17 -> 37 [size =\"9886720\"]\n  17 -> 38 [size =\"9886720\"]\n  17 -> 39 [size =\"9886720\"]\n  18 [size=\"42354688\", alpha=\"0.07\", expect_size=\"21177344\"] \n  18 -> 39 [size =\"21177344\"]\n  19 [size=\"55109632\", alpha=\"0.15\", expect_size=\"27554816\"] \n  20 [size=\"84051968\", alpha=\"0.03\", expect_size=\"42025984\"] \n  20 -> 36 [size =\"42025984\"]\n  20 -> 38 [size =\"42025984\"]\n  21 [size=\"38283264\", alpha=\"0.03\", expect_size=\"19141632\"] \n  21 -> 35 [size =\"19141632\"]\n  21 -> 39 [size =\"19141632\"]\n  22 [size=\"55437312\", alpha=\"0.01\", expect_size=\"27718656\"] \n  22 -> 35 [size =\"27718656\"]\n  22 -> 39 [size =\"27718656\"]\n  23 [size=\"30650368\", alpha=\"0.19\", expect_size=\"15325184\"] \n  23 -> 36 [size =\"15325184\"]\n  23 -> 39 [size =\"15325184\"]\n  23 -> 40 [size =\"15325184\"]\n  24 [size=\"88754176\", alpha=\"0.09\", expect_size=\"44377088\"] \n  24 -> 37 [size =\"44377088\"]\n  25 [size=\"16838656\", alpha=\"0.11\", expect_size=\"8419328\"] \n  25 -> 36 [size =\"8419328\"]\n  26 [size=\"80074752\", alpha=\"0.12\", expect_size=\"40037376\"] \n  26 -> 37 [size =\"40037376\"]\n  26 -> 39 [size =\"40037376\"]\n  27 [size=\"61782016\", alpha=\"0.10\", expect_size=\"30891008\"] \n  27 -> 37 [size =\"30891008\"]\n  27 -> 38 [size =\"30891008\"]\n  27 -> 39 [size =\"30891008\"]\n  28 [size=\"43503616\", alpha=\"0.20\", expect_size=\"21751808\"] \n  28 -> 37 [size =\"21751808\"]\n  28 -> 40 [size =\"21751808\"]\n  29 [size=\"74186752\", alpha=\"0.07\", expect_size=\"37093376\"] \n  29 -> 36 [size =\"37093376\"]\n  29 -> 38 [size =\"37093376\"]\n  29 -> 39 [size =\"37093376\"]\n  29 -> 40 [size =\"37093376\"]\n  30 [size=\"48478208\", alpha=\"0.20\", expect_size=\"24239104\"] \n  30 -> 36 [size =\"24239104\"]\n  30 -> 37 [size =\"24239104\"]\n  30 -> 39 [size =\"24239104\"]\n  31 [size=\"62767104\", alpha=\"0.01\", expect_size=\"31383552\"] \n  31 -> 40 [size =\"31383552\"]\n  32 [size=\"75331584\", alpha=\"0.09\", expect_size=\"37665792\"] \n  32 -> 36 [size =\"37665792\"]\n  33 [size=\"78071808\", alpha=\"0.13\", expect_size=\"39035904\"] \n  33 -> 36 [size =\"39035904\"]\n  34 [size=\"71962624\", alpha=\"0.06\", expect_size=\"35981312\"] \n  35 [size=\"20103168\", alpha=\"0.20\", expect_size=\"10051584\"] \n  36 [size=\"73314304\", alpha=\"0.04\", expect_size=\"36657152\"] \n  37 [size=\"34400256\", alpha=\"0.11\", expect_size=\"17200128\"] \n  38 [size=\"82796544\", alpha=\"0.04\", expect_size=\"41398272\"] \n  39 [size=\"82376704\", alpha=\"0.07\", expect_size=\"41188352\"] \n  40 [size=\"20264960\", alpha=\"0.05\", expect_size=\"10132480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89139200\", alpha=\"0.06\", expect_size=\"35655680\"] \n  1 -> 4 [size =\"35655680\"]\n  1 -> 6 [size =\"35655680\"]\n  2 [size=\"124833280\", alpha=\"0.09\", expect_size=\"49933312\"] \n  3 [size=\"97827840\", alpha=\"0.08\", expect_size=\"39131136\"] \n  3 -> 5 [size =\"39131136\"]\n  3 -> 6 [size =\"39131136\"]\n  4 [size=\"68395520\", alpha=\"0.19\", expect_size=\"27358208\"] \n  4 -> 7 [size =\"27358208\"]\n  4 -> 9 [size =\"27358208\"]\n  5 [size=\"17707520\", alpha=\"0.11\", expect_size=\"7083008\"] \n  5 -> 8 [size =\"7083008\"]\n  6 [size=\"121077760\", alpha=\"0.06\", expect_size=\"48431104\"] \n  7 [size=\"65684480\", alpha=\"0.00\", expect_size=\"26273792\"] \n  7 -> 10 [size =\"26273792\"]\n  7 -> 11 [size =\"26273792\"]\n  7 -> 12 [size =\"26273792\"]\n  8 [size=\"69219840\", alpha=\"0.03\", expect_size=\"27687936\"] \n  8 -> 10 [size =\"27687936\"]\n  8 -> 12 [size =\"27687936\"]\n  9 [size=\"26736640\", alpha=\"0.16\", expect_size=\"10694656\"] \n  9 -> 11 [size =\"10694656\"]\n  10 [size=\"13816320\", alpha=\"0.14\", expect_size=\"5526528\"] \n  10 -> 13 [size =\"5526528\"]\n  11 [size=\"98493440\", alpha=\"0.15\", expect_size=\"39397376\"] \n  11 -> 14 [size =\"39397376\"]\n  12 [size=\"14261760\", alpha=\"0.10\", expect_size=\"5704704\"] \n  12 -> 13 [size =\"5704704\"]\n  12 -> 14 [size =\"5704704\"]\n  13 [size=\"67210240\", alpha=\"0.00\", expect_size=\"26884096\"] \n  13 -> 15 [size =\"26884096\"]\n  13 -> 17 [size =\"26884096\"]\n  14 [size=\"113574400\", alpha=\"0.00\", expect_size=\"45429760\"] \n  14 -> 16 [size =\"45429760\"]\n  14 -> 17 [size =\"45429760\"]\n  15 [size=\"109160960\", alpha=\"0.05\", expect_size=\"43664384\"] \n  15 -> 19 [size =\"43664384\"]\n  16 [size=\"58470400\", alpha=\"0.06\", expect_size=\"23388160\"] \n  16 -> 18 [size =\"23388160\"]\n  17 [size=\"94512640\", alpha=\"0.00\", expect_size=\"37805056\"] \n  17 -> 19 [size =\"37805056\"]\n  18 [size=\"94563840\", alpha=\"0.13\", expect_size=\"37825536\"] \n  18 -> 21 [size =\"37825536\"]\n  18 -> 22 [size =\"37825536\"]\n  19 [size=\"110228480\", alpha=\"0.16\", expect_size=\"44091392\"] \n  19 -> 20 [size =\"44091392\"]\n  19 -> 22 [size =\"44091392\"]\n  20 [size=\"87590400\", alpha=\"0.18\", expect_size=\"35036160\"] \n  20 -> 23 [size =\"35036160\"]\n  20 -> 25 [size =\"35036160\"]\n  21 [size=\"53916160\", alpha=\"0.13\", expect_size=\"21566464\"] \n  21 -> 23 [size =\"21566464\"]\n  21 -> 25 [size =\"21566464\"]\n  22 [size=\"21580800\", alpha=\"0.07\", expect_size=\"8632320\"] \n  22 -> 24 [size =\"8632320\"]\n  23 [size=\"82429440\", alpha=\"0.15\", expect_size=\"32971776\"] \n  23 -> 26 [size =\"32971776\"]\n  23 -> 28 [size =\"32971776\"]\n  24 [size=\"84474880\", alpha=\"0.12\", expect_size=\"33789952\"] \n  24 -> 26 [size =\"33789952\"]\n  24 -> 27 [size =\"33789952\"]\n  24 -> 28 [size =\"33789952\"]\n  25 [size=\"87342080\", alpha=\"0.11\", expect_size=\"34936832\"] \n  25 -> 27 [size =\"34936832\"]\n  26 [size=\"118858240\", alpha=\"0.08\", expect_size=\"47543296\"] \n  26 -> 30 [size =\"47543296\"]\n  26 -> 31 [size =\"47543296\"]\n  27 [size=\"33520640\", alpha=\"0.13\", expect_size=\"13408256\"] \n  27 -> 29 [size =\"13408256\"]\n  27 -> 31 [size =\"13408256\"]\n  28 [size=\"34209280\", alpha=\"0.08\", expect_size=\"13683712\"] \n  29 [size=\"108879360\", alpha=\"0.06\", expect_size=\"43551744\"] \n  29 -> 33 [size =\"43551744\"]\n  30 [size=\"84049920\", alpha=\"0.03\", expect_size=\"33619968\"] \n  31 [size=\"71201280\", alpha=\"0.15\", expect_size=\"28480512\"] \n  31 -> 32 [size =\"28480512\"]\n  31 -> 33 [size =\"28480512\"]\n  31 -> 34 [size =\"28480512\"]\n  32 [size=\"28398080\", alpha=\"0.07\", expect_size=\"11359232\"] \n  32 -> 35 [size =\"11359232\"]\n  32 -> 36 [size =\"11359232\"]\n  33 [size=\"67368960\", alpha=\"0.09\", expect_size=\"26947584\"] \n  34 [size=\"36907520\", alpha=\"0.07\", expect_size=\"14763008\"] \n  34 -> 36 [size =\"14763008\"]\n  34 -> 37 [size =\"14763008\"]\n  35 [size=\"110266880\", alpha=\"0.02\", expect_size=\"44106752\"] \n  35 -> 39 [size =\"44106752\"]\n  35 -> 40 [size =\"44106752\"]\n  36 [size=\"56122880\", alpha=\"0.04\", expect_size=\"22449152\"] \n  36 -> 38 [size =\"22449152\"]\n  36 -> 39 [size =\"22449152\"]\n  37 [size=\"100410880\", alpha=\"0.01\", expect_size=\"40164352\"] \n  37 -> 38 [size =\"40164352\"]\n  38 [size=\"59781120\", alpha=\"0.11\", expect_size=\"23912448\"] \n  39 [size=\"108308480\", alpha=\"0.17\", expect_size=\"43323392\"] \n  40 [size=\"23697920\", alpha=\"0.16\", expect_size=\"9479168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40990720\", alpha=\"0.08\", expect_size=\"12297216\"] \n  1 -> 12 [size =\"12297216\"]\n  2 [size=\"61474133\", alpha=\"0.07\", expect_size=\"18442240\"] \n  2 -> 8 [size =\"18442240\"]\n  2 -> 9 [size =\"18442240\"]\n  2 -> 12 [size =\"18442240\"]\n  3 [size=\"118282240\", alpha=\"0.13\", expect_size=\"35484672\"] \n  4 [size=\"94771200\", alpha=\"0.06\", expect_size=\"28431360\"] \n  4 -> 8 [size =\"28431360\"]\n  4 -> 11 [size =\"28431360\"]\n  4 -> 12 [size =\"28431360\"]\n  5 [size=\"77537280\", alpha=\"0.06\", expect_size=\"23261184\"] \n  6 [size=\"54231040\", alpha=\"0.19\", expect_size=\"16269312\"] \n  6 -> 7 [size =\"16269312\"]\n  6 -> 8 [size =\"16269312\"]\n  6 -> 10 [size =\"16269312\"]\n  7 [size=\"93893973\", alpha=\"0.06\", expect_size=\"28168192\"] \n  8 [size=\"29395627\", alpha=\"0.05\", expect_size=\"8818688\"] \n  8 -> 13 [size =\"8818688\"]\n  8 -> 14 [size =\"8818688\"]\n  9 [size=\"165157547\", alpha=\"0.12\", expect_size=\"49547264\"] \n  9 -> 13 [size =\"49547264\"]\n  9 -> 15 [size =\"49547264\"]\n  9 -> 17 [size =\"49547264\"]\n  10 [size=\"71717547\", alpha=\"0.19\", expect_size=\"21515264\"] \n  10 -> 13 [size =\"21515264\"]\n  10 -> 17 [size =\"21515264\"]\n  11 [size=\"30726827\", alpha=\"0.16\", expect_size=\"9218048\"] \n  11 -> 15 [size =\"9218048\"]\n  11 -> 16 [size =\"9218048\"]\n  12 [size=\"96911360\", alpha=\"0.01\", expect_size=\"29073408\"] \n  12 -> 15 [size =\"29073408\"]\n  13 [size=\"149596160\", alpha=\"0.19\", expect_size=\"44878848\"] \n  14 [size=\"96979627\", alpha=\"0.13\", expect_size=\"29093888\"] \n  14 -> 21 [size =\"29093888\"]\n  15 [size=\"142909440\", alpha=\"0.06\", expect_size=\"42872832\"] \n  15 -> 18 [size =\"42872832\"]\n  15 -> 19 [size =\"42872832\"]\n  15 -> 20 [size =\"42872832\"]\n  15 -> 21 [size =\"42872832\"]\n  16 [size=\"36259840\", alpha=\"0.06\", expect_size=\"10877952\"] \n  16 -> 18 [size =\"10877952\"]\n  16 -> 19 [size =\"10877952\"]\n  16 -> 22 [size =\"10877952\"]\n  17 [size=\"28238507\", alpha=\"0.09\", expect_size=\"8471552\"] \n  17 -> 18 [size =\"8471552\"]\n  17 -> 19 [size =\"8471552\"]\n  18 [size=\"73615360\", alpha=\"0.05\", expect_size=\"22084608\"] \n  18 -> 23 [size =\"22084608\"]\n  18 -> 26 [size =\"22084608\"]\n  18 -> 27 [size =\"22084608\"]\n  19 [size=\"112424960\", alpha=\"0.07\", expect_size=\"33727488\"] \n  19 -> 25 [size =\"33727488\"]\n  20 [size=\"47817387\", alpha=\"0.16\", expect_size=\"14345216\"] \n  20 -> 25 [size =\"14345216\"]\n  20 -> 26 [size =\"14345216\"]\n  21 [size=\"40335360\", alpha=\"0.08\", expect_size=\"12100608\"] \n  21 -> 24 [size =\"12100608\"]\n  22 [size=\"167338667\", alpha=\"0.06\", expect_size=\"50201600\"] \n  22 -> 25 [size =\"50201600\"]\n  22 -> 26 [size =\"50201600\"]\n  23 [size=\"171871573\", alpha=\"0.16\", expect_size=\"51561472\"] \n  23 -> 28 [size =\"51561472\"]\n  23 -> 32 [size =\"51561472\"]\n  24 [size=\"167785813\", alpha=\"0.16\", expect_size=\"50335744\"] \n  24 -> 28 [size =\"50335744\"]\n  24 -> 30 [size =\"50335744\"]\n  25 [size=\"115524267\", alpha=\"0.04\", expect_size=\"34657280\"] \n  25 -> 30 [size =\"34657280\"]\n  26 [size=\"162447360\", alpha=\"0.17\", expect_size=\"48734208\"] \n  26 -> 30 [size =\"48734208\"]\n  26 -> 31 [size =\"48734208\"]\n  27 [size=\"50616320\", alpha=\"0.19\", expect_size=\"15184896\"] \n  27 -> 28 [size =\"15184896\"]\n  27 -> 29 [size =\"15184896\"]\n  27 -> 31 [size =\"15184896\"]\n  28 [size=\"121692160\", alpha=\"0.03\", expect_size=\"36507648\"] \n  28 -> 34 [size =\"36507648\"]\n  28 -> 35 [size =\"36507648\"]\n  29 [size=\"157521920\", alpha=\"0.06\", expect_size=\"47256576\"] \n  29 -> 33 [size =\"47256576\"]\n  29 -> 35 [size =\"47256576\"]\n  30 [size=\"52964693\", alpha=\"0.15\", expect_size=\"15889408\"] \n  31 [size=\"19916800\", alpha=\"0.07\", expect_size=\"5975040\"] \n  31 -> 34 [size =\"5975040\"]\n  31 -> 36 [size =\"5975040\"]\n  32 [size=\"81896107\", alpha=\"0.08\", expect_size=\"24568832\"] \n  32 -> 33 [size =\"24568832\"]\n  32 -> 35 [size =\"24568832\"]\n  32 -> 37 [size =\"24568832\"]\n  33 [size=\"125610667\", alpha=\"0.06\", expect_size=\"37683200\"] \n  33 -> 40 [size =\"37683200\"]\n  34 [size=\"94586880\", alpha=\"0.14\", expect_size=\"28376064\"] \n  34 -> 38 [size =\"28376064\"]\n  35 [size=\"66116267\", alpha=\"0.19\", expect_size=\"19834880\"] \n  35 -> 38 [size =\"19834880\"]\n  36 [size=\"100263253\", alpha=\"0.05\", expect_size=\"30078976\"] \n  36 -> 39 [size =\"30078976\"]\n  37 [size=\"76496213\", alpha=\"0.13\", expect_size=\"22948864\"] \n  37 -> 39 [size =\"22948864\"]\n  37 -> 40 [size =\"22948864\"]\n  38 [size=\"71236267\", alpha=\"0.08\", expect_size=\"21370880\"] \n  39 [size=\"96409600\", alpha=\"0.15\", expect_size=\"28922880\"] \n  40 [size=\"142404267\", alpha=\"0.06\", expect_size=\"42721280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30252373\", alpha=\"0.14\", expect_size=\"9075712\"] \n  1 -> 28 [size =\"9075712\"]\n  1 -> 31 [size =\"9075712\"]\n  1 -> 32 [size =\"9075712\"]\n  1 -> 33 [size =\"9075712\"]\n  1 -> 37 [size =\"9075712\"]\n  1 -> 39 [size =\"9075712\"]\n  2 [size=\"79056213\", alpha=\"0.13\", expect_size=\"23716864\"] \n  2 -> 32 [size =\"23716864\"]\n  2 -> 34 [size =\"23716864\"]\n  2 -> 36 [size =\"23716864\"]\n  3 [size=\"149445973\", alpha=\"0.15\", expect_size=\"44833792\"] \n  3 -> 27 [size =\"44833792\"]\n  3 -> 28 [size =\"44833792\"]\n  3 -> 30 [size =\"44833792\"]\n  3 -> 31 [size =\"44833792\"]\n  3 -> 32 [size =\"44833792\"]\n  3 -> 34 [size =\"44833792\"]\n  3 -> 36 [size =\"44833792\"]\n  4 [size=\"23237973\", alpha=\"0.05\", expect_size=\"6971392\"] \n  4 -> 32 [size =\"6971392\"]\n  4 -> 34 [size =\"6971392\"]\n  4 -> 36 [size =\"6971392\"]\n  4 -> 38 [size =\"6971392\"]\n  4 -> 39 [size =\"6971392\"]\n  5 [size=\"113568427\", alpha=\"0.05\", expect_size=\"34070528\"] \n  5 -> 34 [size =\"34070528\"]\n  5 -> 34 [size =\"34070528\"]\n  5 -> 36 [size =\"34070528\"]\n  6 [size=\"77690880\", alpha=\"0.11\", expect_size=\"23307264\"] \n  6 -> 30 [size =\"23307264\"]\n  6 -> 35 [size =\"23307264\"]\n  6 -> 36 [size =\"23307264\"]\n  7 [size=\"45154987\", alpha=\"0.12\", expect_size=\"13546496\"] \n  7 -> 31 [size =\"13546496\"]\n  7 -> 32 [size =\"13546496\"]\n  7 -> 35 [size =\"13546496\"]\n  8 [size=\"87698773\", alpha=\"0.00\", expect_size=\"26309632\"] \n  8 -> 29 [size =\"26309632\"]\n  8 -> 30 [size =\"26309632\"]\n  8 -> 31 [size =\"26309632\"]\n  9 [size=\"67717120\", alpha=\"0.07\", expect_size=\"20315136\"] \n  9 -> 31 [size =\"20315136\"]\n  9 -> 32 [size =\"20315136\"]\n  9 -> 33 [size =\"20315136\"]\n  9 -> 35 [size =\"20315136\"]\n  10 [size=\"131826347\", alpha=\"0.15\", expect_size=\"39547904\"] \n  10 -> 30 [size =\"39547904\"]\n  10 -> 32 [size =\"39547904\"]\n  10 -> 33 [size =\"39547904\"]\n  10 -> 35 [size =\"39547904\"]\n  10 -> 36 [size =\"39547904\"]\n  10 -> 40 [size =\"39547904\"]\n  11 [size=\"151439360\", alpha=\"0.02\", expect_size=\"45431808\"] \n  11 -> 30 [size =\"45431808\"]\n  11 -> 34 [size =\"45431808\"]\n  11 -> 35 [size =\"45431808\"]\n  11 -> 36 [size =\"45431808\"]\n  11 -> 39 [size =\"45431808\"]\n  12 [size=\"101621760\", alpha=\"0.12\", expect_size=\"30486528\"] \n  12 -> 31 [size =\"30486528\"]\n  13 [size=\"49186133\", alpha=\"0.01\", expect_size=\"14755840\"] \n  13 -> 28 [size =\"14755840\"]\n  13 -> 33 [size =\"14755840\"]\n  14 [size=\"166553600\", alpha=\"0.13\", expect_size=\"49966080\"] \n  14 -> 27 [size =\"49966080\"]\n  14 -> 28 [size =\"49966080\"]\n  14 -> 30 [size =\"49966080\"]\n  14 -> 33 [size =\"49966080\"]\n  14 -> 34 [size =\"49966080\"]\n  14 -> 37 [size =\"49966080\"]\n  14 -> 40 [size =\"49966080\"]\n  15 [size=\"49704960\", alpha=\"0.18\", expect_size=\"14911488\"] \n  15 -> 28 [size =\"14911488\"]\n  15 -> 30 [size =\"14911488\"]\n  15 -> 33 [size =\"14911488\"]\n  15 -> 39 [size =\"14911488\"]\n  16 [size=\"90494293\", alpha=\"0.13\", expect_size=\"27148288\"] \n  16 -> 31 [size =\"27148288\"]\n  17 [size=\"22739627\", alpha=\"0.04\", expect_size=\"6821888\"] \n  17 -> 34 [size =\"6821888\"]\n  17 -> 39 [size =\"6821888\"]\n  18 [size=\"117476693\", alpha=\"0.03\", expect_size=\"35243008\"] \n  18 -> 27 [size =\"35243008\"]\n  18 -> 29 [size =\"35243008\"]\n  18 -> 31 [size =\"35243008\"]\n  18 -> 34 [size =\"35243008\"]\n  18 -> 36 [size =\"35243008\"]\n  18 -> 37 [size =\"35243008\"]\n  19 [size=\"120497493\", alpha=\"0.16\", expect_size=\"36149248\"] \n  19 -> 27 [size =\"36149248\"]\n  19 -> 30 [size =\"36149248\"]\n  19 -> 32 [size =\"36149248\"]\n  19 -> 36 [size =\"36149248\"]\n  19 -> 37 [size =\"36149248\"]\n  20 [size=\"173711360\", alpha=\"0.16\", expect_size=\"52113408\"] \n  20 -> 28 [size =\"52113408\"]\n  20 -> 30 [size =\"52113408\"]\n  20 -> 32 [size =\"52113408\"]\n  20 -> 34 [size =\"52113408\"]\n  20 -> 37 [size =\"52113408\"]\n  21 [size=\"134007467\", alpha=\"0.17\", expect_size=\"40202240\"] \n  21 -> 32 [size =\"40202240\"]\n  21 -> 33 [size =\"40202240\"]\n  21 -> 34 [size =\"40202240\"]\n  22 [size=\"150517760\", alpha=\"0.07\", expect_size=\"45155328\"] \n  22 -> 27 [size =\"45155328\"]\n  22 -> 39 [size =\"45155328\"]\n  23 [size=\"84746240\", alpha=\"0.13\", expect_size=\"25423872\"] \n  24 [size=\"95470933\", alpha=\"0.00\", expect_size=\"28641280\"] \n  24 -> 28 [size =\"28641280\"]\n  24 -> 32 [size =\"28641280\"]\n  25 [size=\"42110293\", alpha=\"0.19\", expect_size=\"12633088\"] \n  25 -> 28 [size =\"12633088\"]\n  25 -> 30 [size =\"12633088\"]\n  25 -> 39 [size =\"12633088\"]\n  26 [size=\"23511040\", alpha=\"0.06\", expect_size=\"7053312\"] \n  26 -> 28 [size =\"7053312\"]\n  26 -> 30 [size =\"7053312\"]\n  26 -> 34 [size =\"7053312\"]\n  26 -> 35 [size =\"7053312\"]\n  26 -> 39 [size =\"7053312\"]\n  26 -> 40 [size =\"7053312\"]\n  27 [size=\"127279787\", alpha=\"0.17\", expect_size=\"38183936\"] \n  28 [size=\"159549440\", alpha=\"0.16\", expect_size=\"47864832\"] \n  29 [size=\"24514560\", alpha=\"0.02\", expect_size=\"7354368\"] \n  30 [size=\"148534613\", alpha=\"0.02\", expect_size=\"44560384\"] \n  31 [size=\"115346773\", alpha=\"0.19\", expect_size=\"34604032\"] \n  32 [size=\"95016960\", alpha=\"0.07\", expect_size=\"28505088\"] \n  33 [size=\"149128533\", alpha=\"0.19\", expect_size=\"44738560\"] \n  34 [size=\"95081813\", alpha=\"0.10\", expect_size=\"28524544\"] \n  35 [size=\"95928320\", alpha=\"0.05\", expect_size=\"28778496\"] \n  36 [size=\"90470400\", alpha=\"0.09\", expect_size=\"27141120\"] \n  37 [size=\"138929493\", alpha=\"0.14\", expect_size=\"41678848\"] \n  38 [size=\"111701333\", alpha=\"0.12\", expect_size=\"33510400\"] \n  39 [size=\"79001600\", alpha=\"0.03\", expect_size=\"23700480\"] \n  40 [size=\"91077973\", alpha=\"0.14\", expect_size=\"27323392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50946048\", alpha=\"0.15\", expect_size=\"25473024\"] \n  1 -> 34 [size =\"25473024\"]\n  1 -> 35 [size =\"25473024\"]\n  1 -> 37 [size =\"25473024\"]\n  1 -> 38 [size =\"25473024\"]\n  2 [size=\"36849664\", alpha=\"0.16\", expect_size=\"18424832\"] \n  2 -> 32 [size =\"18424832\"]\n  2 -> 33 [size =\"18424832\"]\n  2 -> 34 [size =\"18424832\"]\n  2 -> 35 [size =\"18424832\"]\n  2 -> 37 [size =\"18424832\"]\n  2 -> 38 [size =\"18424832\"]\n  3 [size=\"81207296\", alpha=\"0.19\", expect_size=\"40603648\"] \n  3 -> 32 [size =\"40603648\"]\n  3 -> 34 [size =\"40603648\"]\n  4 [size=\"66213888\", alpha=\"0.08\", expect_size=\"33106944\"] \n  4 -> 32 [size =\"33106944\"]\n  4 -> 33 [size =\"33106944\"]\n  4 -> 34 [size =\"33106944\"]\n  4 -> 37 [size =\"33106944\"]\n  4 -> 38 [size =\"33106944\"]\n  4 -> 40 [size =\"33106944\"]\n  5 [size=\"67940352\", alpha=\"0.00\", expect_size=\"33970176\"] \n  5 -> 32 [size =\"33970176\"]\n  5 -> 34 [size =\"33970176\"]\n  5 -> 34 [size =\"33970176\"]\n  5 -> 37 [size =\"33970176\"]\n  5 -> 38 [size =\"33970176\"]\n  6 [size=\"57853952\", alpha=\"0.02\", expect_size=\"28926976\"] \n  6 -> 32 [size =\"28926976\"]\n  6 -> 33 [size =\"28926976\"]\n  6 -> 37 [size =\"28926976\"]\n  6 -> 40 [size =\"28926976\"]\n  7 [size=\"58171392\", alpha=\"0.04\", expect_size=\"29085696\"] \n  7 -> 32 [size =\"29085696\"]\n  7 -> 33 [size =\"29085696\"]\n  7 -> 34 [size =\"29085696\"]\n  7 -> 37 [size =\"29085696\"]\n  7 -> 38 [size =\"29085696\"]\n  8 [size=\"53022720\", alpha=\"0.18\", expect_size=\"26511360\"] \n  8 -> 36 [size =\"26511360\"]\n  8 -> 37 [size =\"26511360\"]\n  8 -> 38 [size =\"26511360\"]\n  8 -> 40 [size =\"26511360\"]\n  9 [size=\"45924352\", alpha=\"0.19\", expect_size=\"22962176\"] \n  9 -> 33 [size =\"22962176\"]\n  9 -> 34 [size =\"22962176\"]\n  9 -> 35 [size =\"22962176\"]\n  9 -> 37 [size =\"22962176\"]\n  10 [size=\"26331136\", alpha=\"0.12\", expect_size=\"13165568\"] \n  10 -> 32 [size =\"13165568\"]\n  10 -> 33 [size =\"13165568\"]\n  10 -> 37 [size =\"13165568\"]\n  10 -> 38 [size =\"13165568\"]\n  11 [size=\"90736640\", alpha=\"0.02\", expect_size=\"45368320\"] \n  11 -> 33 [size =\"45368320\"]\n  11 -> 33 [size =\"45368320\"]\n  12 [size=\"68626432\", alpha=\"0.13\", expect_size=\"34313216\"] \n  13 [size=\"51585024\", alpha=\"0.13\", expect_size=\"25792512\"] \n  13 -> 34 [size =\"25792512\"]\n  13 -> 37 [size =\"25792512\"]\n  13 -> 38 [size =\"25792512\"]\n  14 [size=\"44748800\", alpha=\"0.13\", expect_size=\"22374400\"] \n  14 -> 32 [size =\"22374400\"]\n  14 -> 37 [size =\"22374400\"]\n  15 [size=\"84744192\", alpha=\"0.00\", expect_size=\"42372096\"] \n  15 -> 32 [size =\"42372096\"]\n  15 -> 33 [size =\"42372096\"]\n  15 -> 35 [size =\"42372096\"]\n  15 -> 37 [size =\"42372096\"]\n  16 [size=\"85766144\", alpha=\"0.11\", expect_size=\"42883072\"] \n  16 -> 32 [size =\"42883072\"]\n  16 -> 34 [size =\"42883072\"]\n  16 -> 37 [size =\"42883072\"]\n  16 -> 40 [size =\"42883072\"]\n  17 [size=\"94644224\", alpha=\"0.06\", expect_size=\"47322112\"] \n  17 -> 32 [size =\"47322112\"]\n  17 -> 34 [size =\"47322112\"]\n  17 -> 38 [size =\"47322112\"]\n  18 [size=\"19279872\", alpha=\"0.04\", expect_size=\"9639936\"] \n  18 -> 32 [size =\"9639936\"]\n  18 -> 38 [size =\"9639936\"]\n  19 [size=\"101941248\", alpha=\"0.04\", expect_size=\"50970624\"] \n  19 -> 35 [size =\"50970624\"]\n  19 -> 37 [size =\"50970624\"]\n  20 [size=\"95821824\", alpha=\"0.04\", expect_size=\"47910912\"] \n  20 -> 33 [size =\"47910912\"]\n  20 -> 34 [size =\"47910912\"]\n  20 -> 35 [size =\"47910912\"]\n  20 -> 36 [size =\"47910912\"]\n  20 -> 40 [size =\"47910912\"]\n  21 [size=\"58271744\", alpha=\"0.11\", expect_size=\"29135872\"] \n  21 -> 32 [size =\"29135872\"]\n  21 -> 33 [size =\"29135872\"]\n  21 -> 36 [size =\"29135872\"]\n  21 -> 38 [size =\"29135872\"]\n  21 -> 39 [size =\"29135872\"]\n  22 [size=\"65361920\", alpha=\"0.05\", expect_size=\"32680960\"] \n  22 -> 34 [size =\"32680960\"]\n  22 -> 37 [size =\"32680960\"]\n  23 [size=\"32215040\", alpha=\"0.13\", expect_size=\"16107520\"] \n  23 -> 34 [size =\"16107520\"]\n  23 -> 37 [size =\"16107520\"]\n  23 -> 38 [size =\"16107520\"]\n  24 [size=\"94431232\", alpha=\"0.13\", expect_size=\"47215616\"] \n  24 -> 37 [size =\"47215616\"]\n  25 [size=\"62984192\", alpha=\"0.06\", expect_size=\"31492096\"] \n  25 -> 33 [size =\"31492096\"]\n  25 -> 34 [size =\"31492096\"]\n  25 -> 38 [size =\"31492096\"]\n  25 -> 40 [size =\"31492096\"]\n  26 [size=\"64083968\", alpha=\"0.08\", expect_size=\"32041984\"] \n  26 -> 33 [size =\"32041984\"]\n  26 -> 36 [size =\"32041984\"]\n  26 -> 39 [size =\"32041984\"]\n  26 -> 40 [size =\"32041984\"]\n  27 [size=\"23377920\", alpha=\"0.01\", expect_size=\"11688960\"] \n  27 -> 32 [size =\"11688960\"]\n  27 -> 33 [size =\"11688960\"]\n  27 -> 35 [size =\"11688960\"]\n  27 -> 37 [size =\"11688960\"]\n  27 -> 38 [size =\"11688960\"]\n  27 -> 40 [size =\"11688960\"]\n  28 [size=\"49838080\", alpha=\"0.02\", expect_size=\"24919040\"] \n  28 -> 34 [size =\"24919040\"]\n  28 -> 38 [size =\"24919040\"]\n  29 [size=\"68517888\", alpha=\"0.11\", expect_size=\"34258944\"] \n  29 -> 33 [size =\"34258944\"]\n  29 -> 34 [size =\"34258944\"]\n  29 -> 37 [size =\"34258944\"]\n  29 -> 40 [size =\"34258944\"]\n  30 [size=\"88688640\", alpha=\"0.04\", expect_size=\"44344320\"] \n  30 -> 32 [size =\"44344320\"]\n  30 -> 33 [size =\"44344320\"]\n  30 -> 34 [size =\"44344320\"]\n  30 -> 38 [size =\"44344320\"]\n  31 [size=\"10999808\", alpha=\"0.13\", expect_size=\"5499904\"] \n  31 -> 34 [size =\"5499904\"]\n  31 -> 38 [size =\"5499904\"]\n  32 [size=\"64655360\", alpha=\"0.15\", expect_size=\"32327680\"] \n  33 [size=\"87279616\", alpha=\"0.06\", expect_size=\"43639808\"] \n  34 [size=\"55220224\", alpha=\"0.03\", expect_size=\"27610112\"] \n  35 [size=\"24207360\", alpha=\"0.17\", expect_size=\"12103680\"] \n  36 [size=\"51697664\", alpha=\"0.06\", expect_size=\"25848832\"] \n  37 [size=\"90687488\", alpha=\"0.13\", expect_size=\"45343744\"] \n  38 [size=\"94490624\", alpha=\"0.03\", expect_size=\"47245312\"] \n  39 [size=\"11278336\", alpha=\"0.11\", expect_size=\"5639168\"] \n  40 [size=\"65226752\", alpha=\"0.18\", expect_size=\"32613376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101829973\", alpha=\"0.13\", expect_size=\"30548992\"] \n  1 -> 29 [size =\"30548992\"]\n  1 -> 32 [size =\"30548992\"]\n  2 [size=\"52623360\", alpha=\"0.08\", expect_size=\"15787008\"] \n  2 -> 32 [size =\"15787008\"]\n  2 -> 32 [size =\"15787008\"]\n  2 -> 38 [size =\"15787008\"]\n  2 -> 39 [size =\"15787008\"]\n  3 [size=\"74567680\", alpha=\"0.19\", expect_size=\"22370304\"] \n  3 -> 29 [size =\"22370304\"]\n  3 -> 30 [size =\"22370304\"]\n  3 -> 32 [size =\"22370304\"]\n  3 -> 33 [size =\"22370304\"]\n  3 -> 34 [size =\"22370304\"]\n  3 -> 36 [size =\"22370304\"]\n  4 [size=\"161720320\", alpha=\"0.01\", expect_size=\"48516096\"] \n  4 -> 31 [size =\"48516096\"]\n  4 -> 34 [size =\"48516096\"]\n  4 -> 36 [size =\"48516096\"]\n  4 -> 38 [size =\"48516096\"]\n  5 [size=\"32416427\", alpha=\"0.18\", expect_size=\"9724928\"] \n  5 -> 33 [size =\"9724928\"]\n  5 -> 34 [size =\"9724928\"]\n  5 -> 36 [size =\"9724928\"]\n  5 -> 40 [size =\"9724928\"]\n  6 [size=\"22770347\", alpha=\"0.08\", expect_size=\"6831104\"] \n  6 -> 29 [size =\"6831104\"]\n  6 -> 34 [size =\"6831104\"]\n  6 -> 35 [size =\"6831104\"]\n  6 -> 36 [size =\"6831104\"]\n  6 -> 38 [size =\"6831104\"]\n  6 -> 39 [size =\"6831104\"]\n  7 [size=\"120261973\", alpha=\"0.12\", expect_size=\"36078592\"] \n  7 -> 27 [size =\"36078592\"]\n  7 -> 29 [size =\"36078592\"]\n  7 -> 33 [size =\"36078592\"]\n  7 -> 35 [size =\"36078592\"]\n  7 -> 36 [size =\"36078592\"]\n  7 -> 37 [size =\"36078592\"]\n  7 -> 40 [size =\"36078592\"]\n  8 [size=\"48435200\", alpha=\"0.17\", expect_size=\"14530560\"] \n  8 -> 33 [size =\"14530560\"]\n  8 -> 35 [size =\"14530560\"]\n  8 -> 36 [size =\"14530560\"]\n  8 -> 37 [size =\"14530560\"]\n  8 -> 39 [size =\"14530560\"]\n  9 [size=\"64573440\", alpha=\"0.13\", expect_size=\"19372032\"] \n  9 -> 29 [size =\"19372032\"]\n  9 -> 36 [size =\"19372032\"]\n  9 -> 36 [size =\"19372032\"]\n  9 -> 37 [size =\"19372032\"]\n  10 [size=\"143418027\", alpha=\"0.00\", expect_size=\"43025408\"] \n  10 -> 35 [size =\"43025408\"]\n  10 -> 39 [size =\"43025408\"]\n  10 -> 40 [size =\"43025408\"]\n  11 [size=\"144933547\", alpha=\"0.13\", expect_size=\"43480064\"] \n  11 -> 31 [size =\"43480064\"]\n  11 -> 33 [size =\"43480064\"]\n  11 -> 34 [size =\"43480064\"]\n  11 -> 35 [size =\"43480064\"]\n  11 -> 36 [size =\"43480064\"]\n  11 -> 37 [size =\"43480064\"]\n  11 -> 38 [size =\"43480064\"]\n  12 [size=\"87558827\", alpha=\"0.19\", expect_size=\"26267648\"] \n  12 -> 31 [size =\"26267648\"]\n  12 -> 34 [size =\"26267648\"]\n  12 -> 36 [size =\"26267648\"]\n  12 -> 37 [size =\"26267648\"]\n  12 -> 39 [size =\"26267648\"]\n  12 -> 40 [size =\"26267648\"]\n  13 [size=\"152279040\", alpha=\"0.13\", expect_size=\"45683712\"] \n  13 -> 34 [size =\"45683712\"]\n  13 -> 37 [size =\"45683712\"]\n  13 -> 39 [size =\"45683712\"]\n  14 [size=\"144302080\", alpha=\"0.09\", expect_size=\"43290624\"] \n  14 -> 33 [size =\"43290624\"]\n  14 -> 37 [size =\"43290624\"]\n  14 -> 38 [size =\"43290624\"]\n  14 -> 39 [size =\"43290624\"]\n  15 [size=\"149196800\", alpha=\"0.04\", expect_size=\"44759040\"] \n  15 -> 29 [size =\"44759040\"]\n  15 -> 30 [size =\"44759040\"]\n  15 -> 34 [size =\"44759040\"]\n  15 -> 37 [size =\"44759040\"]\n  15 -> 39 [size =\"44759040\"]\n  16 [size=\"130187947\", alpha=\"0.03\", expect_size=\"39056384\"] \n  16 -> 34 [size =\"39056384\"]\n  16 -> 36 [size =\"39056384\"]\n  16 -> 38 [size =\"39056384\"]\n  17 [size=\"39673173\", alpha=\"0.10\", expect_size=\"11901952\"] \n  17 -> 29 [size =\"11901952\"]\n  17 -> 34 [size =\"11901952\"]\n  17 -> 37 [size =\"11901952\"]\n  17 -> 38 [size =\"11901952\"]\n  17 -> 40 [size =\"11901952\"]\n  18 [size=\"136543573\", alpha=\"0.08\", expect_size=\"40963072\"] \n  18 -> 29 [size =\"40963072\"]\n  18 -> 34 [size =\"40963072\"]\n  18 -> 37 [size =\"40963072\"]\n  18 -> 40 [size =\"40963072\"]\n  18 -> 40 [size =\"40963072\"]\n  19 [size=\"112319147\", alpha=\"0.06\", expect_size=\"33695744\"] \n  19 -> 29 [size =\"33695744\"]\n  19 -> 34 [size =\"33695744\"]\n  19 -> 36 [size =\"33695744\"]\n  19 -> 37 [size =\"33695744\"]\n  19 -> 38 [size =\"33695744\"]\n  19 -> 40 [size =\"33695744\"]\n  20 [size=\"54893227\", alpha=\"0.11\", expect_size=\"16467968\"] \n  20 -> 33 [size =\"16467968\"]\n  20 -> 36 [size =\"16467968\"]\n  20 -> 37 [size =\"16467968\"]\n  20 -> 40 [size =\"16467968\"]\n  21 [size=\"58419200\", alpha=\"0.06\", expect_size=\"17525760\"] \n  21 -> 34 [size =\"17525760\"]\n  21 -> 39 [size =\"17525760\"]\n  22 [size=\"159133013\", alpha=\"0.05\", expect_size=\"47739904\"] \n  22 -> 34 [size =\"47739904\"]\n  22 -> 37 [size =\"47739904\"]\n  22 -> 39 [size =\"47739904\"]\n  22 -> 40 [size =\"47739904\"]\n  23 [size=\"149944320\", alpha=\"0.12\", expect_size=\"44983296\"] \n  23 -> 31 [size =\"44983296\"]\n  23 -> 32 [size =\"44983296\"]\n  23 -> 36 [size =\"44983296\"]\n  23 -> 37 [size =\"44983296\"]\n  23 -> 38 [size =\"44983296\"]\n  23 -> 39 [size =\"44983296\"]\n  24 [size=\"91450027\", alpha=\"0.17\", expect_size=\"27435008\"] \n  24 -> 32 [size =\"27435008\"]\n  24 -> 33 [size =\"27435008\"]\n  24 -> 35 [size =\"27435008\"]\n  24 -> 36 [size =\"27435008\"]\n  24 -> 38 [size =\"27435008\"]\n  24 -> 40 [size =\"27435008\"]\n  25 [size=\"161611093\", alpha=\"0.04\", expect_size=\"48483328\"] \n  25 -> 30 [size =\"48483328\"]\n  25 -> 36 [size =\"48483328\"]\n  25 -> 39 [size =\"48483328\"]\n  25 -> 40 [size =\"48483328\"]\n  26 [size=\"38843733\", alpha=\"0.12\", expect_size=\"11653120\"] \n  26 -> 28 [size =\"11653120\"]\n  26 -> 29 [size =\"11653120\"]\n  26 -> 32 [size =\"11653120\"]\n  26 -> 37 [size =\"11653120\"]\n  26 -> 38 [size =\"11653120\"]\n  26 -> 39 [size =\"11653120\"]\n  26 -> 40 [size =\"11653120\"]\n  27 [size=\"66170880\", alpha=\"0.12\", expect_size=\"19851264\"] \n  28 [size=\"145838080\", alpha=\"0.17\", expect_size=\"43751424\"] \n  29 [size=\"51111253\", alpha=\"0.08\", expect_size=\"15333376\"] \n  30 [size=\"101614933\", alpha=\"0.14\", expect_size=\"30484480\"] \n  31 [size=\"28460373\", alpha=\"0.17\", expect_size=\"8538112\"] \n  32 [size=\"73291093\", alpha=\"0.09\", expect_size=\"21987328\"] \n  33 [size=\"113974613\", alpha=\"0.18\", expect_size=\"34192384\"] \n  34 [size=\"50309120\", alpha=\"0.03\", expect_size=\"15092736\"] \n  35 [size=\"26545493\", alpha=\"0.05\", expect_size=\"7963648\"] \n  36 [size=\"57623893\", alpha=\"0.01\", expect_size=\"17287168\"] \n  37 [size=\"148834987\", alpha=\"0.20\", expect_size=\"44650496\"] \n  38 [size=\"88401920\", alpha=\"0.14\", expect_size=\"26520576\"] \n  39 [size=\"64570027\", alpha=\"0.20\", expect_size=\"19371008\"] \n  40 [size=\"124433067\", alpha=\"0.11\", expect_size=\"37329920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16803840\", alpha=\"0.19\", expect_size=\"6721536\"] \n  1 -> 2 [size =\"6721536\"]\n  2 [size=\"30192640\", alpha=\"0.00\", expect_size=\"12077056\"] \n  2 -> 3 [size =\"12077056\"]\n  3 [size=\"51929600\", alpha=\"0.01\", expect_size=\"20771840\"] \n  3 -> 4 [size =\"20771840\"]\n  4 [size=\"31974400\", alpha=\"0.17\", expect_size=\"12789760\"] \n  4 -> 5 [size =\"12789760\"]\n  5 [size=\"82670080\", alpha=\"0.16\", expect_size=\"33068032\"] \n  5 -> 6 [size =\"33068032\"]\n  6 [size=\"122432000\", alpha=\"0.10\", expect_size=\"48972800\"] \n  6 -> 7 [size =\"48972800\"]\n  7 [size=\"98705920\", alpha=\"0.19\", expect_size=\"39482368\"] \n  7 -> 8 [size =\"39482368\"]\n  8 [size=\"90211840\", alpha=\"0.14\", expect_size=\"36084736\"] \n  8 -> 9 [size =\"36084736\"]\n  9 [size=\"98109440\", alpha=\"0.09\", expect_size=\"39243776\"] \n  9 -> 10 [size =\"39243776\"]\n  10 [size=\"125135360\", alpha=\"0.04\", expect_size=\"50054144\"] \n  10 -> 11 [size =\"50054144\"]\n  11 [size=\"89722880\", alpha=\"0.19\", expect_size=\"35889152\"] \n  11 -> 12 [size =\"35889152\"]\n  12 [size=\"82309120\", alpha=\"0.06\", expect_size=\"32923648\"] \n  12 -> 13 [size =\"32923648\"]\n  13 [size=\"83663360\", alpha=\"0.18\", expect_size=\"33465344\"] \n  13 -> 14 [size =\"33465344\"]\n  14 [size=\"91852800\", alpha=\"0.04\", expect_size=\"36741120\"] \n  14 -> 15 [size =\"36741120\"]\n  15 [size=\"75688960\", alpha=\"0.01\", expect_size=\"30275584\"] \n  15 -> 16 [size =\"30275584\"]\n  16 [size=\"51727360\", alpha=\"0.04\", expect_size=\"20690944\"] \n  16 -> 17 [size =\"20690944\"]\n  17 [size=\"111884800\", alpha=\"0.03\", expect_size=\"44753920\"] \n  17 -> 18 [size =\"44753920\"]\n  18 [size=\"103825920\", alpha=\"0.10\", expect_size=\"41530368\"] \n  18 -> 19 [size =\"41530368\"]\n  19 [size=\"67028480\", alpha=\"0.11\", expect_size=\"26811392\"] \n  19 -> 20 [size =\"26811392\"]\n  20 [size=\"119677440\", alpha=\"0.15\", expect_size=\"47870976\"] \n  20 -> 21 [size =\"47870976\"]\n  21 [size=\"25799680\", alpha=\"0.20\", expect_size=\"10319872\"] \n  21 -> 22 [size =\"10319872\"]\n  22 [size=\"17277440\", alpha=\"0.07\", expect_size=\"6910976\"] \n  22 -> 23 [size =\"6910976\"]\n  23 [size=\"50626560\", alpha=\"0.02\", expect_size=\"20250624\"] \n  23 -> 24 [size =\"20250624\"]\n  24 [size=\"35957760\", alpha=\"0.19\", expect_size=\"14383104\"] \n  24 -> 25 [size =\"14383104\"]\n  25 [size=\"60871680\", alpha=\"0.08\", expect_size=\"24348672\"] \n  25 -> 26 [size =\"24348672\"]\n  26 [size=\"68065280\", alpha=\"0.16\", expect_size=\"27226112\"] \n  26 -> 27 [size =\"27226112\"]\n  27 [size=\"92359680\", alpha=\"0.18\", expect_size=\"36943872\"] \n  27 -> 28 [size =\"36943872\"]\n  28 [size=\"111104000\", alpha=\"0.14\", expect_size=\"44441600\"] \n  28 -> 29 [size =\"44441600\"]\n  29 [size=\"54574080\", alpha=\"0.03\", expect_size=\"21829632\"] \n  29 -> 30 [size =\"21829632\"]\n  30 [size=\"118947840\", alpha=\"0.12\", expect_size=\"47579136\"] \n  30 -> 31 [size =\"47579136\"]\n  31 [size=\"89692160\", alpha=\"0.14\", expect_size=\"35876864\"] \n  31 -> 32 [size =\"35876864\"]\n  32 [size=\"88471040\", alpha=\"0.07\", expect_size=\"35388416\"] \n  32 -> 33 [size =\"35388416\"]\n  33 [size=\"14407680\", alpha=\"0.13\", expect_size=\"5763072\"] \n  33 -> 34 [size =\"5763072\"]\n  34 [size=\"24289280\", alpha=\"0.12\", expect_size=\"9715712\"] \n  34 -> 35 [size =\"9715712\"]\n  35 [size=\"19020800\", alpha=\"0.01\", expect_size=\"7608320\"] \n  35 -> 36 [size =\"7608320\"]\n  36 [size=\"68165120\", alpha=\"0.17\", expect_size=\"27266048\"] \n  36 -> 37 [size =\"27266048\"]\n  37 [size=\"45117440\", alpha=\"0.10\", expect_size=\"18046976\"] \n  37 -> 38 [size =\"18046976\"]\n  38 [size=\"35476480\", alpha=\"0.18\", expect_size=\"14190592\"] \n  38 -> 39 [size =\"14190592\"]\n  39 [size=\"116349440\", alpha=\"0.15\", expect_size=\"46539776\"] \n  39 -> 40 [size =\"46539776\"]\n  40 [size=\"18844160\", alpha=\"0.10\", expect_size=\"7537664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17735680\", alpha=\"0.04\", expect_size=\"5320704\"] \n  1 -> 2 [size =\"5320704\"]\n  2 [size=\"84558507\", alpha=\"0.15\", expect_size=\"25367552\"] \n  2 -> 3 [size =\"25367552\"]\n  3 [size=\"102502400\", alpha=\"0.07\", expect_size=\"30750720\"] \n  3 -> 4 [size =\"30750720\"]\n  4 [size=\"60057600\", alpha=\"0.16\", expect_size=\"18017280\"] \n  4 -> 5 [size =\"18017280\"]\n  5 [size=\"68502187\", alpha=\"0.10\", expect_size=\"20550656\"] \n  5 -> 6 [size =\"20550656\"]\n  6 [size=\"118016000\", alpha=\"0.13\", expect_size=\"35404800\"] \n  6 -> 7 [size =\"35404800\"]\n  7 [size=\"151350613\", alpha=\"0.04\", expect_size=\"45405184\"] \n  7 -> 8 [size =\"45405184\"]\n  8 [size=\"23347200\", alpha=\"0.19\", expect_size=\"7004160\"] \n  8 -> 9 [size =\"7004160\"]\n  9 [size=\"170407253\", alpha=\"0.11\", expect_size=\"51122176\"] \n  9 -> 10 [size =\"51122176\"]\n  10 [size=\"20046507\", alpha=\"0.15\", expect_size=\"6013952\"] \n  10 -> 11 [size =\"6013952\"]\n  11 [size=\"40772267\", alpha=\"0.18\", expect_size=\"12231680\"] \n  11 -> 12 [size =\"12231680\"]\n  12 [size=\"72192000\", alpha=\"0.17\", expect_size=\"21657600\"] \n  12 -> 13 [size =\"21657600\"]\n  13 [size=\"35252907\", alpha=\"0.07\", expect_size=\"10575872\"] \n  13 -> 14 [size =\"10575872\"]\n  14 [size=\"91965440\", alpha=\"0.19\", expect_size=\"27589632\"] \n  14 -> 15 [size =\"27589632\"]\n  15 [size=\"61924693\", alpha=\"0.20\", expect_size=\"18577408\"] \n  15 -> 16 [size =\"18577408\"]\n  16 [size=\"140049067\", alpha=\"0.06\", expect_size=\"42014720\"] \n  16 -> 17 [size =\"42014720\"]\n  17 [size=\"83824640\", alpha=\"0.12\", expect_size=\"25147392\"] \n  17 -> 18 [size =\"25147392\"]\n  18 [size=\"116391253\", alpha=\"0.05\", expect_size=\"34917376\"] \n  18 -> 19 [size =\"34917376\"]\n  19 [size=\"106106880\", alpha=\"0.12\", expect_size=\"31832064\"] \n  19 -> 20 [size =\"31832064\"]\n  20 [size=\"32942080\", alpha=\"0.09\", expect_size=\"9882624\"] \n  20 -> 21 [size =\"9882624\"]\n  21 [size=\"147438933\", alpha=\"0.06\", expect_size=\"44231680\"] \n  21 -> 22 [size =\"44231680\"]\n  22 [size=\"133246293\", alpha=\"0.11\", expect_size=\"39973888\"] \n  22 -> 23 [size =\"39973888\"]\n  23 [size=\"106738347\", alpha=\"0.07\", expect_size=\"32021504\"] \n  23 -> 24 [size =\"32021504\"]\n  24 [size=\"163457707\", alpha=\"0.09\", expect_size=\"49037312\"] \n  24 -> 25 [size =\"49037312\"]\n  25 [size=\"157764267\", alpha=\"0.17\", expect_size=\"47329280\"] \n  25 -> 26 [size =\"47329280\"]\n  26 [size=\"157231787\", alpha=\"0.18\", expect_size=\"47169536\"] \n  26 -> 27 [size =\"47169536\"]\n  27 [size=\"46431573\", alpha=\"0.16\", expect_size=\"13929472\"] \n  27 -> 28 [size =\"13929472\"]\n  28 [size=\"141257387\", alpha=\"0.15\", expect_size=\"42377216\"] \n  28 -> 29 [size =\"42377216\"]\n  29 [size=\"21749760\", alpha=\"0.13\", expect_size=\"6524928\"] \n  29 -> 30 [size =\"6524928\"]\n  30 [size=\"117142187\", alpha=\"0.11\", expect_size=\"35142656\"] \n  30 -> 31 [size =\"35142656\"]\n  31 [size=\"30320640\", alpha=\"0.13\", expect_size=\"9096192\"] \n  31 -> 32 [size =\"9096192\"]\n  32 [size=\"76117333\", alpha=\"0.01\", expect_size=\"22835200\"] \n  32 -> 33 [size =\"22835200\"]\n  33 [size=\"164331520\", alpha=\"0.12\", expect_size=\"49299456\"] \n  33 -> 34 [size =\"49299456\"]\n  34 [size=\"65416533\", alpha=\"0.12\", expect_size=\"19624960\"] \n  34 -> 35 [size =\"19624960\"]\n  35 [size=\"136526507\", alpha=\"0.17\", expect_size=\"40957952\"] \n  35 -> 36 [size =\"40957952\"]\n  36 [size=\"114117973\", alpha=\"0.19\", expect_size=\"34235392\"] \n  36 -> 37 [size =\"34235392\"]\n  37 [size=\"98734080\", alpha=\"0.08\", expect_size=\"29620224\"] \n  37 -> 38 [size =\"29620224\"]\n  38 [size=\"66962773\", alpha=\"0.11\", expect_size=\"20088832\"] \n  38 -> 39 [size =\"20088832\"]\n  39 [size=\"24678400\", alpha=\"0.04\", expect_size=\"7403520\"] \n  39 -> 40 [size =\"7403520\"]\n  40 [size=\"124815360\", alpha=\"0.20\", expect_size=\"37444608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63211520\", alpha=\"0.18\", expect_size=\"25284608\"] \n  1 -> 2 [size =\"25284608\"]\n  2 [size=\"30661120\", alpha=\"0.09\", expect_size=\"12264448\"] \n  2 -> 3 [size =\"12264448\"]\n  3 [size=\"34096640\", alpha=\"0.11\", expect_size=\"13638656\"] \n  3 -> 4 [size =\"13638656\"]\n  4 [size=\"47239680\", alpha=\"0.03\", expect_size=\"18895872\"] \n  4 -> 5 [size =\"18895872\"]\n  5 [size=\"65628160\", alpha=\"0.01\", expect_size=\"26251264\"] \n  5 -> 6 [size =\"26251264\"]\n  6 [size=\"97054720\", alpha=\"0.03\", expect_size=\"38821888\"] \n  6 -> 7 [size =\"38821888\"]\n  7 [size=\"49141760\", alpha=\"0.06\", expect_size=\"19656704\"] \n  7 -> 8 [size =\"19656704\"]\n  8 [size=\"97192960\", alpha=\"0.00\", expect_size=\"38877184\"] \n  8 -> 9 [size =\"38877184\"]\n  9 [size=\"68802560\", alpha=\"0.18\", expect_size=\"27521024\"] \n  9 -> 10 [size =\"27521024\"]\n  10 [size=\"46120960\", alpha=\"0.10\", expect_size=\"18448384\"] \n  10 -> 11 [size =\"18448384\"]\n  11 [size=\"46571520\", alpha=\"0.03\", expect_size=\"18628608\"] \n  11 -> 12 [size =\"18628608\"]\n  12 [size=\"33927680\", alpha=\"0.12\", expect_size=\"13571072\"] \n  12 -> 13 [size =\"13571072\"]\n  13 [size=\"85629440\", alpha=\"0.00\", expect_size=\"34251776\"] \n  13 -> 14 [size =\"34251776\"]\n  14 [size=\"33600000\", alpha=\"0.06\", expect_size=\"13440000\"] \n  14 -> 15 [size =\"13440000\"]\n  15 [size=\"51128320\", alpha=\"0.19\", expect_size=\"20451328\"] \n  15 -> 16 [size =\"20451328\"]\n  16 [size=\"59950080\", alpha=\"0.07\", expect_size=\"23980032\"] \n  16 -> 17 [size =\"23980032\"]\n  17 [size=\"76026880\", alpha=\"0.18\", expect_size=\"30410752\"] \n  17 -> 18 [size =\"30410752\"]\n  18 [size=\"114296320\", alpha=\"0.04\", expect_size=\"45718528\"] \n  18 -> 19 [size =\"45718528\"]\n  19 [size=\"114490880\", alpha=\"0.15\", expect_size=\"45796352\"] \n  19 -> 20 [size =\"45796352\"]\n  20 [size=\"104985600\", alpha=\"0.11\", expect_size=\"41994240\"] \n  20 -> 21 [size =\"41994240\"]\n  21 [size=\"48360960\", alpha=\"0.15\", expect_size=\"19344384\"] \n  21 -> 22 [size =\"19344384\"]\n  22 [size=\"63457280\", alpha=\"0.03\", expect_size=\"25382912\"] \n  22 -> 23 [size =\"25382912\"]\n  23 [size=\"13798400\", alpha=\"0.14\", expect_size=\"5519360\"] \n  23 -> 24 [size =\"5519360\"]\n  24 [size=\"13826560\", alpha=\"0.10\", expect_size=\"5530624\"] \n  24 -> 25 [size =\"5530624\"]\n  25 [size=\"51384320\", alpha=\"0.16\", expect_size=\"20553728\"] \n  25 -> 26 [size =\"20553728\"]\n  26 [size=\"47915520\", alpha=\"0.16\", expect_size=\"19166208\"] \n  26 -> 27 [size =\"19166208\"]\n  27 [size=\"88696320\", alpha=\"0.01\", expect_size=\"35478528\"] \n  27 -> 28 [size =\"35478528\"]\n  28 [size=\"78272000\", alpha=\"0.02\", expect_size=\"31308800\"] \n  28 -> 29 [size =\"31308800\"]\n  29 [size=\"102502400\", alpha=\"0.11\", expect_size=\"41000960\"] \n  29 -> 30 [size =\"41000960\"]\n  30 [size=\"74746880\", alpha=\"0.06\", expect_size=\"29898752\"] \n  30 -> 31 [size =\"29898752\"]\n  31 [size=\"22333440\", alpha=\"0.07\", expect_size=\"8933376\"] \n  31 -> 32 [size =\"8933376\"]\n  32 [size=\"113333760\", alpha=\"0.12\", expect_size=\"45333504\"] \n  32 -> 33 [size =\"45333504\"]\n  33 [size=\"129369600\", alpha=\"0.08\", expect_size=\"51747840\"] \n  33 -> 34 [size =\"51747840\"]\n  34 [size=\"91435520\", alpha=\"0.08\", expect_size=\"36574208\"] \n  34 -> 35 [size =\"36574208\"]\n  35 [size=\"33661440\", alpha=\"0.15\", expect_size=\"13464576\"] \n  35 -> 36 [size =\"13464576\"]\n  36 [size=\"126535680\", alpha=\"0.10\", expect_size=\"50614272\"] \n  36 -> 37 [size =\"50614272\"]\n  37 [size=\"100113920\", alpha=\"0.15\", expect_size=\"40045568\"] \n  37 -> 38 [size =\"40045568\"]\n  38 [size=\"108398080\", alpha=\"0.17\", expect_size=\"43359232\"] \n  38 -> 39 [size =\"43359232\"]\n  39 [size=\"117506560\", alpha=\"0.17\", expect_size=\"47002624\"] \n  39 -> 40 [size =\"47002624\"]\n  40 [size=\"65175040\", alpha=\"0.12\", expect_size=\"26070016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93519872\", alpha=\"0.13\", expect_size=\"46759936\"] \n  1 -> 2 [size =\"46759936\"]\n  2 [size=\"49303552\", alpha=\"0.13\", expect_size=\"24651776\"] \n  2 -> 3 [size =\"24651776\"]\n  3 [size=\"92164096\", alpha=\"0.16\", expect_size=\"46082048\"] \n  3 -> 4 [size =\"46082048\"]\n  4 [size=\"45436928\", alpha=\"0.11\", expect_size=\"22718464\"] \n  4 -> 5 [size =\"22718464\"]\n  5 [size=\"71182336\", alpha=\"0.15\", expect_size=\"35591168\"] \n  5 -> 6 [size =\"35591168\"]\n  6 [size=\"93429760\", alpha=\"0.15\", expect_size=\"46714880\"] \n  6 -> 7 [size =\"46714880\"]\n  7 [size=\"93134848\", alpha=\"0.01\", expect_size=\"46567424\"] \n  7 -> 8 [size =\"46567424\"]\n  8 [size=\"60448768\", alpha=\"0.04\", expect_size=\"30224384\"] \n  8 -> 9 [size =\"30224384\"]\n  9 [size=\"71155712\", alpha=\"0.09\", expect_size=\"35577856\"] \n  9 -> 10 [size =\"35577856\"]\n  10 [size=\"81197056\", alpha=\"0.09\", expect_size=\"40598528\"] \n  10 -> 11 [size =\"40598528\"]\n  11 [size=\"73351168\", alpha=\"0.11\", expect_size=\"36675584\"] \n  11 -> 12 [size =\"36675584\"]\n  12 [size=\"38766592\", alpha=\"0.11\", expect_size=\"19383296\"] \n  12 -> 13 [size =\"19383296\"]\n  13 [size=\"101691392\", alpha=\"0.08\", expect_size=\"50845696\"] \n  13 -> 14 [size =\"50845696\"]\n  14 [size=\"84815872\", alpha=\"0.09\", expect_size=\"42407936\"] \n  14 -> 15 [size =\"42407936\"]\n  15 [size=\"43440128\", alpha=\"0.05\", expect_size=\"21720064\"] \n  15 -> 16 [size =\"21720064\"]\n  16 [size=\"18620416\", alpha=\"0.15\", expect_size=\"9310208\"] \n  16 -> 17 [size =\"9310208\"]\n  17 [size=\"87144448\", alpha=\"0.03\", expect_size=\"43572224\"] \n  17 -> 18 [size =\"43572224\"]\n  18 [size=\"91983872\", alpha=\"0.14\", expect_size=\"45991936\"] \n  18 -> 19 [size =\"45991936\"]\n  19 [size=\"15851520\", alpha=\"0.11\", expect_size=\"7925760\"] \n  19 -> 20 [size =\"7925760\"]\n  20 [size=\"57905152\", alpha=\"0.18\", expect_size=\"28952576\"] \n  20 -> 21 [size =\"28952576\"]\n  21 [size=\"102553600\", alpha=\"0.03\", expect_size=\"51276800\"] \n  21 -> 22 [size =\"51276800\"]\n  22 [size=\"58159104\", alpha=\"0.16\", expect_size=\"29079552\"] \n  22 -> 23 [size =\"29079552\"]\n  23 [size=\"14376960\", alpha=\"0.07\", expect_size=\"7188480\"] \n  23 -> 24 [size =\"7188480\"]\n  24 [size=\"50235392\", alpha=\"0.05\", expect_size=\"25117696\"] \n  24 -> 25 [size =\"25117696\"]\n  25 [size=\"92665856\", alpha=\"0.16\", expect_size=\"46332928\"] \n  25 -> 26 [size =\"46332928\"]\n  26 [size=\"23324672\", alpha=\"0.04\", expect_size=\"11662336\"] \n  26 -> 27 [size =\"11662336\"]\n  27 [size=\"96010240\", alpha=\"0.10\", expect_size=\"48005120\"] \n  27 -> 28 [size =\"48005120\"]\n  28 [size=\"16797696\", alpha=\"0.06\", expect_size=\"8398848\"] \n  28 -> 29 [size =\"8398848\"]\n  29 [size=\"82161664\", alpha=\"0.15\", expect_size=\"41080832\"] \n  29 -> 30 [size =\"41080832\"]\n  30 [size=\"39376896\", alpha=\"0.20\", expect_size=\"19688448\"] \n  30 -> 31 [size =\"19688448\"]\n  31 [size=\"31275008\", alpha=\"0.17\", expect_size=\"15637504\"] \n  31 -> 32 [size =\"15637504\"]\n  32 [size=\"46520320\", alpha=\"0.01\", expect_size=\"23260160\"] \n  32 -> 33 [size =\"23260160\"]\n  33 [size=\"29558784\", alpha=\"0.04\", expect_size=\"14779392\"] \n  33 -> 34 [size =\"14779392\"]\n  34 [size=\"62068736\", alpha=\"0.03\", expect_size=\"31034368\"] \n  34 -> 35 [size =\"31034368\"]\n  35 [size=\"84631552\", alpha=\"0.08\", expect_size=\"42315776\"] \n  35 -> 36 [size =\"42315776\"]\n  36 [size=\"63574016\", alpha=\"0.16\", expect_size=\"31787008\"] \n  36 -> 37 [size =\"31787008\"]\n  37 [size=\"81840128\", alpha=\"0.19\", expect_size=\"40920064\"] \n  37 -> 38 [size =\"40920064\"]\n  38 [size=\"33335296\", alpha=\"0.00\", expect_size=\"16667648\"] \n  38 -> 39 [size =\"16667648\"]\n  39 [size=\"62398464\", alpha=\"0.02\", expect_size=\"31199232\"] \n  39 -> 40 [size =\"31199232\"]\n  40 [size=\"40955904\", alpha=\"0.14\", expect_size=\"20477952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16207872\", alpha=\"0.19\", expect_size=\"8103936\"] \n  1 -> 27 [size =\"8103936\"]\n  1 -> 28 [size =\"8103936\"]\n  1 -> 32 [size =\"8103936\"]\n  1 -> 33 [size =\"8103936\"]\n  1 -> 34 [size =\"8103936\"]\n  1 -> 35 [size =\"8103936\"]\n  1 -> 36 [size =\"8103936\"]\n  1 -> 38 [size =\"8103936\"]\n  1 -> 39 [size =\"8103936\"]\n  2 [size=\"98179072\", alpha=\"0.07\", expect_size=\"49089536\"] \n  2 -> 27 [size =\"49089536\"]\n  2 -> 28 [size =\"49089536\"]\n  2 -> 30 [size =\"49089536\"]\n  2 -> 33 [size =\"49089536\"]\n  2 -> 34 [size =\"49089536\"]\n  2 -> 35 [size =\"49089536\"]\n  3 [size=\"49661952\", alpha=\"0.11\", expect_size=\"24830976\"] \n  3 -> 27 [size =\"24830976\"]\n  3 -> 28 [size =\"24830976\"]\n  3 -> 29 [size =\"24830976\"]\n  3 -> 30 [size =\"24830976\"]\n  3 -> 32 [size =\"24830976\"]\n  3 -> 33 [size =\"24830976\"]\n  3 -> 35 [size =\"24830976\"]\n  4 [size=\"60784640\", alpha=\"0.11\", expect_size=\"30392320\"] \n  4 -> 28 [size =\"30392320\"]\n  4 -> 28 [size =\"30392320\"]\n  4 -> 29 [size =\"30392320\"]\n  4 -> 30 [size =\"30392320\"]\n  4 -> 32 [size =\"30392320\"]\n  4 -> 36 [size =\"30392320\"]\n  4 -> 39 [size =\"30392320\"]\n  4 -> 40 [size =\"30392320\"]\n  5 [size=\"11204608\", alpha=\"0.04\", expect_size=\"5602304\"] \n  5 -> 28 [size =\"5602304\"]\n  5 -> 29 [size =\"5602304\"]\n  5 -> 30 [size =\"5602304\"]\n  5 -> 30 [size =\"5602304\"]\n  5 -> 32 [size =\"5602304\"]\n  5 -> 34 [size =\"5602304\"]\n  5 -> 35 [size =\"5602304\"]\n  5 -> 39 [size =\"5602304\"]\n  5 -> 40 [size =\"5602304\"]\n  6 [size=\"73955328\", alpha=\"0.11\", expect_size=\"36977664\"] \n  6 -> 28 [size =\"36977664\"]\n  6 -> 29 [size =\"36977664\"]\n  6 -> 30 [size =\"36977664\"]\n  6 -> 32 [size =\"36977664\"]\n  6 -> 32 [size =\"36977664\"]\n  6 -> 34 [size =\"36977664\"]\n  6 -> 35 [size =\"36977664\"]\n  6 -> 36 [size =\"36977664\"]\n  6 -> 37 [size =\"36977664\"]\n  6 -> 38 [size =\"36977664\"]\n  6 -> 39 [size =\"36977664\"]\n  7 [size=\"45674496\", alpha=\"0.03\", expect_size=\"22837248\"] \n  7 -> 28 [size =\"22837248\"]\n  7 -> 29 [size =\"22837248\"]\n  7 -> 30 [size =\"22837248\"]\n  7 -> 33 [size =\"22837248\"]\n  7 -> 34 [size =\"22837248\"]\n  7 -> 36 [size =\"22837248\"]\n  7 -> 38 [size =\"22837248\"]\n  7 -> 39 [size =\"22837248\"]\n  8 [size=\"95727616\", alpha=\"0.13\", expect_size=\"47863808\"] \n  8 -> 28 [size =\"47863808\"]\n  8 -> 29 [size =\"47863808\"]\n  8 -> 33 [size =\"47863808\"]\n  8 -> 33 [size =\"47863808\"]\n  8 -> 35 [size =\"47863808\"]\n  8 -> 36 [size =\"47863808\"]\n  8 -> 38 [size =\"47863808\"]\n  8 -> 40 [size =\"47863808\"]\n  9 [size=\"47448064\", alpha=\"0.01\", expect_size=\"23724032\"] \n  9 -> 28 [size =\"23724032\"]\n  9 -> 29 [size =\"23724032\"]\n  9 -> 30 [size =\"23724032\"]\n  9 -> 33 [size =\"23724032\"]\n  9 -> 34 [size =\"23724032\"]\n  9 -> 35 [size =\"23724032\"]\n  9 -> 36 [size =\"23724032\"]\n  9 -> 40 [size =\"23724032\"]\n  10 [size=\"51339264\", alpha=\"0.10\", expect_size=\"25669632\"] \n  10 -> 27 [size =\"25669632\"]\n  10 -> 28 [size =\"25669632\"]\n  10 -> 29 [size =\"25669632\"]\n  10 -> 30 [size =\"25669632\"]\n  10 -> 33 [size =\"25669632\"]\n  10 -> 34 [size =\"25669632\"]\n  10 -> 35 [size =\"25669632\"]\n  10 -> 36 [size =\"25669632\"]\n  10 -> 37 [size =\"25669632\"]\n  10 -> 40 [size =\"25669632\"]\n  11 [size=\"64495616\", alpha=\"0.17\", expect_size=\"32247808\"] \n  11 -> 28 [size =\"32247808\"]\n  11 -> 29 [size =\"32247808\"]\n  11 -> 33 [size =\"32247808\"]\n  11 -> 34 [size =\"32247808\"]\n  11 -> 35 [size =\"32247808\"]\n  11 -> 36 [size =\"32247808\"]\n  11 -> 37 [size =\"32247808\"]\n  11 -> 38 [size =\"32247808\"]\n  11 -> 40 [size =\"32247808\"]\n  11 -> 40 [size =\"32247808\"]\n  12 [size=\"62068736\", alpha=\"0.15\", expect_size=\"31034368\"] \n  12 -> 28 [size =\"31034368\"]\n  12 -> 29 [size =\"31034368\"]\n  12 -> 35 [size =\"31034368\"]\n  12 -> 36 [size =\"31034368\"]\n  12 -> 38 [size =\"31034368\"]\n  12 -> 40 [size =\"31034368\"]\n  13 [size=\"96067584\", alpha=\"0.16\", expect_size=\"48033792\"] \n  13 -> 29 [size =\"48033792\"]\n  13 -> 30 [size =\"48033792\"]\n  13 -> 35 [size =\"48033792\"]\n  13 -> 36 [size =\"48033792\"]\n  13 -> 40 [size =\"48033792\"]\n  14 [size=\"52858880\", alpha=\"0.02\", expect_size=\"26429440\"] \n  14 -> 28 [size =\"26429440\"]\n  14 -> 33 [size =\"26429440\"]\n  14 -> 34 [size =\"26429440\"]\n  14 -> 36 [size =\"26429440\"]\n  14 -> 40 [size =\"26429440\"]\n  15 [size=\"104448000\", alpha=\"0.09\", expect_size=\"52224000\"] \n  15 -> 28 [size =\"52224000\"]\n  15 -> 29 [size =\"52224000\"]\n  15 -> 32 [size =\"52224000\"]\n  15 -> 33 [size =\"52224000\"]\n  15 -> 34 [size =\"52224000\"]\n  15 -> 35 [size =\"52224000\"]\n  15 -> 39 [size =\"52224000\"]\n  16 [size=\"28248064\", alpha=\"0.07\", expect_size=\"14124032\"] \n  16 -> 27 [size =\"14124032\"]\n  16 -> 28 [size =\"14124032\"]\n  16 -> 29 [size =\"14124032\"]\n  16 -> 30 [size =\"14124032\"]\n  16 -> 33 [size =\"14124032\"]\n  16 -> 34 [size =\"14124032\"]\n  17 [size=\"79185920\", alpha=\"0.04\", expect_size=\"39592960\"] \n  17 -> 28 [size =\"39592960\"]\n  17 -> 29 [size =\"39592960\"]\n  17 -> 29 [size =\"39592960\"]\n  17 -> 30 [size =\"39592960\"]\n  17 -> 31 [size =\"39592960\"]\n  17 -> 32 [size =\"39592960\"]\n  17 -> 33 [size =\"39592960\"]\n  17 -> 34 [size =\"39592960\"]\n  17 -> 35 [size =\"39592960\"]\n  17 -> 36 [size =\"39592960\"]\n  17 -> 39 [size =\"39592960\"]\n  18 [size=\"92411904\", alpha=\"0.08\", expect_size=\"46205952\"] \n  18 -> 29 [size =\"46205952\"]\n  18 -> 32 [size =\"46205952\"]\n  18 -> 33 [size =\"46205952\"]\n  18 -> 34 [size =\"46205952\"]\n  18 -> 35 [size =\"46205952\"]\n  18 -> 36 [size =\"46205952\"]\n  18 -> 40 [size =\"46205952\"]\n  19 [size=\"57899008\", alpha=\"0.05\", expect_size=\"28949504\"] \n  19 -> 30 [size =\"28949504\"]\n  19 -> 32 [size =\"28949504\"]\n  19 -> 33 [size =\"28949504\"]\n  19 -> 35 [size =\"28949504\"]\n  19 -> 36 [size =\"28949504\"]\n  19 -> 36 [size =\"28949504\"]\n  19 -> 38 [size =\"28949504\"]\n  19 -> 40 [size =\"28949504\"]\n  20 [size=\"63008768\", alpha=\"0.03\", expect_size=\"31504384\"] \n  20 -> 29 [size =\"31504384\"]\n  20 -> 30 [size =\"31504384\"]\n  20 -> 32 [size =\"31504384\"]\n  20 -> 33 [size =\"31504384\"]\n  20 -> 36 [size =\"31504384\"]\n  21 [size=\"18053120\", alpha=\"0.01\", expect_size=\"9026560\"] \n  21 -> 28 [size =\"9026560\"]\n  21 -> 30 [size =\"9026560\"]\n  21 -> 32 [size =\"9026560\"]\n  21 -> 33 [size =\"9026560\"]\n  21 -> 36 [size =\"9026560\"]\n  21 -> 38 [size =\"9026560\"]\n  21 -> 40 [size =\"9026560\"]\n  22 [size=\"97353728\", alpha=\"0.18\", expect_size=\"48676864\"] \n  22 -> 28 [size =\"48676864\"]\n  22 -> 29 [size =\"48676864\"]\n  22 -> 30 [size =\"48676864\"]\n  22 -> 32 [size =\"48676864\"]\n  22 -> 33 [size =\"48676864\"]\n  22 -> 36 [size =\"48676864\"]\n  22 -> 40 [size =\"48676864\"]\n  23 [size=\"73658368\", alpha=\"0.04\", expect_size=\"36829184\"] \n  23 -> 28 [size =\"36829184\"]\n  23 -> 29 [size =\"36829184\"]\n  23 -> 30 [size =\"36829184\"]\n  23 -> 32 [size =\"36829184\"]\n  23 -> 35 [size =\"36829184\"]\n  23 -> 36 [size =\"36829184\"]\n  23 -> 39 [size =\"36829184\"]\n  23 -> 40 [size =\"36829184\"]\n  24 [size=\"52770816\", alpha=\"0.20\", expect_size=\"26385408\"] \n  24 -> 28 [size =\"26385408\"]\n  24 -> 29 [size =\"26385408\"]\n  24 -> 32 [size =\"26385408\"]\n  24 -> 35 [size =\"26385408\"]\n  24 -> 36 [size =\"26385408\"]\n  24 -> 36 [size =\"26385408\"]\n  24 -> 40 [size =\"26385408\"]\n  24 -> 40 [size =\"26385408\"]\n  25 [size=\"62734336\", alpha=\"0.16\", expect_size=\"31367168\"] \n  25 -> 27 [size =\"31367168\"]\n  25 -> 28 [size =\"31367168\"]\n  25 -> 29 [size =\"31367168\"]\n  25 -> 32 [size =\"31367168\"]\n  25 -> 33 [size =\"31367168\"]\n  25 -> 39 [size =\"31367168\"]\n  26 [size=\"12744704\", alpha=\"0.05\", expect_size=\"6372352\"] \n  26 -> 29 [size =\"6372352\"]\n  26 -> 32 [size =\"6372352\"]\n  26 -> 33 [size =\"6372352\"]\n  26 -> 34 [size =\"6372352\"]\n  26 -> 35 [size =\"6372352\"]\n  26 -> 36 [size =\"6372352\"]\n  26 -> 37 [size =\"6372352\"]\n  26 -> 40 [size =\"6372352\"]\n  27 [size=\"45885440\", alpha=\"0.03\", expect_size=\"22942720\"] \n  28 [size=\"66635776\", alpha=\"0.18\", expect_size=\"33317888\"] \n  29 [size=\"104355840\", alpha=\"0.01\", expect_size=\"52177920\"] \n  30 [size=\"35407872\", alpha=\"0.12\", expect_size=\"17703936\"] \n  31 [size=\"47976448\", alpha=\"0.15\", expect_size=\"23988224\"] \n  32 [size=\"53411840\", alpha=\"0.10\", expect_size=\"26705920\"] \n  33 [size=\"45037568\", alpha=\"0.02\", expect_size=\"22518784\"] \n  34 [size=\"62029824\", alpha=\"0.03\", expect_size=\"31014912\"] \n  35 [size=\"60317696\", alpha=\"0.04\", expect_size=\"30158848\"] \n  36 [size=\"40622080\", alpha=\"0.09\", expect_size=\"20311040\"] \n  37 [size=\"66412544\", alpha=\"0.08\", expect_size=\"33206272\"] \n  38 [size=\"78508032\", alpha=\"0.05\", expect_size=\"39254016\"] \n  39 [size=\"67776512\", alpha=\"0.12\", expect_size=\"33888256\"] \n  40 [size=\"71186432\", alpha=\"0.10\", expect_size=\"35593216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67422720\", alpha=\"0.08\", expect_size=\"26969088\"] \n  1 -> 16 [size =\"26969088\"]\n  1 -> 20 [size =\"26969088\"]\n  1 -> 20 [size =\"26969088\"]\n  1 -> 23 [size =\"26969088\"]\n  1 -> 24 [size =\"26969088\"]\n  1 -> 29 [size =\"26969088\"]\n  1 -> 31 [size =\"26969088\"]\n  1 -> 34 [size =\"26969088\"]\n  2 [size=\"29027840\", alpha=\"0.01\", expect_size=\"11611136\"] \n  2 -> 16 [size =\"11611136\"]\n  2 -> 19 [size =\"11611136\"]\n  2 -> 22 [size =\"11611136\"]\n  2 -> 23 [size =\"11611136\"]\n  2 -> 25 [size =\"11611136\"]\n  2 -> 29 [size =\"11611136\"]\n  2 -> 31 [size =\"11611136\"]\n  2 -> 34 [size =\"11611136\"]\n  3 [size=\"96197120\", alpha=\"0.17\", expect_size=\"38478848\"] \n  3 -> 16 [size =\"38478848\"]\n  3 -> 19 [size =\"38478848\"]\n  3 -> 23 [size =\"38478848\"]\n  3 -> 24 [size =\"38478848\"]\n  3 -> 25 [size =\"38478848\"]\n  3 -> 27 [size =\"38478848\"]\n  3 -> 28 [size =\"38478848\"]\n  3 -> 29 [size =\"38478848\"]\n  3 -> 31 [size =\"38478848\"]\n  3 -> 34 [size =\"38478848\"]\n  4 [size=\"88120320\", alpha=\"0.10\", expect_size=\"35248128\"] \n  4 -> 16 [size =\"35248128\"]\n  4 -> 19 [size =\"35248128\"]\n  4 -> 20 [size =\"35248128\"]\n  4 -> 25 [size =\"35248128\"]\n  4 -> 26 [size =\"35248128\"]\n  4 -> 31 [size =\"35248128\"]\n  4 -> 32 [size =\"35248128\"]\n  4 -> 34 [size =\"35248128\"]\n  5 [size=\"47528960\", alpha=\"0.04\", expect_size=\"19011584\"] \n  5 -> 16 [size =\"19011584\"]\n  5 -> 19 [size =\"19011584\"]\n  5 -> 20 [size =\"19011584\"]\n  5 -> 22 [size =\"19011584\"]\n  5 -> 23 [size =\"19011584\"]\n  5 -> 24 [size =\"19011584\"]\n  5 -> 27 [size =\"19011584\"]\n  5 -> 31 [size =\"19011584\"]\n  5 -> 32 [size =\"19011584\"]\n  5 -> 33 [size =\"19011584\"]\n  5 -> 34 [size =\"19011584\"]\n  6 [size=\"104750080\", alpha=\"0.11\", expect_size=\"41900032\"] \n  6 -> 18 [size =\"41900032\"]\n  6 -> 19 [size =\"41900032\"]\n  6 -> 20 [size =\"41900032\"]\n  6 -> 22 [size =\"41900032\"]\n  6 -> 27 [size =\"41900032\"]\n  6 -> 28 [size =\"41900032\"]\n  6 -> 31 [size =\"41900032\"]\n  6 -> 31 [size =\"41900032\"]\n  6 -> 32 [size =\"41900032\"]\n  6 -> 34 [size =\"41900032\"]\n  7 [size=\"129756160\", alpha=\"0.03\", expect_size=\"51902464\"] \n  7 -> 19 [size =\"51902464\"]\n  7 -> 20 [size =\"51902464\"]\n  7 -> 21 [size =\"51902464\"]\n  7 -> 22 [size =\"51902464\"]\n  7 -> 26 [size =\"51902464\"]\n  7 -> 27 [size =\"51902464\"]\n  7 -> 28 [size =\"51902464\"]\n  7 -> 29 [size =\"51902464\"]\n  7 -> 32 [size =\"51902464\"]\n  8 [size=\"90165760\", alpha=\"0.17\", expect_size=\"36066304\"] \n  8 -> 17 [size =\"36066304\"]\n  8 -> 19 [size =\"36066304\"]\n  8 -> 22 [size =\"36066304\"]\n  8 -> 23 [size =\"36066304\"]\n  8 -> 26 [size =\"36066304\"]\n  8 -> 27 [size =\"36066304\"]\n  8 -> 32 [size =\"36066304\"]\n  9 [size=\"45895680\", alpha=\"0.12\", expect_size=\"18358272\"] \n  9 -> 16 [size =\"18358272\"]\n  9 -> 22 [size =\"18358272\"]\n  9 -> 22 [size =\"18358272\"]\n  9 -> 23 [size =\"18358272\"]\n  9 -> 28 [size =\"18358272\"]\n  9 -> 29 [size =\"18358272\"]\n  9 -> 34 [size =\"18358272\"]\n  10 [size=\"26872320\", alpha=\"0.11\", expect_size=\"10748928\"] \n  10 -> 16 [size =\"10748928\"]\n  10 -> 19 [size =\"10748928\"]\n  10 -> 20 [size =\"10748928\"]\n  10 -> 21 [size =\"10748928\"]\n  10 -> 22 [size =\"10748928\"]\n  10 -> 23 [size =\"10748928\"]\n  10 -> 24 [size =\"10748928\"]\n  10 -> 26 [size =\"10748928\"]\n  10 -> 27 [size =\"10748928\"]\n  10 -> 29 [size =\"10748928\"]\n  10 -> 32 [size =\"10748928\"]\n  11 [size=\"105930240\", alpha=\"0.08\", expect_size=\"42372096\"] \n  11 -> 19 [size =\"42372096\"]\n  11 -> 21 [size =\"42372096\"]\n  11 -> 23 [size =\"42372096\"]\n  11 -> 26 [size =\"42372096\"]\n  11 -> 27 [size =\"42372096\"]\n  11 -> 29 [size =\"42372096\"]\n  11 -> 30 [size =\"42372096\"]\n  11 -> 31 [size =\"42372096\"]\n  12 [size=\"32320000\", alpha=\"0.07\", expect_size=\"12928000\"] \n  12 -> 16 [size =\"12928000\"]\n  12 -> 20 [size =\"12928000\"]\n  12 -> 23 [size =\"12928000\"]\n  13 [size=\"36119040\", alpha=\"0.18\", expect_size=\"14447616\"] \n  13 -> 16 [size =\"14447616\"]\n  13 -> 19 [size =\"14447616\"]\n  13 -> 21 [size =\"14447616\"]\n  13 -> 29 [size =\"14447616\"]\n  13 -> 34 [size =\"14447616\"]\n  14 [size=\"20085760\", alpha=\"0.02\", expect_size=\"8034304\"] \n  14 -> 16 [size =\"8034304\"]\n  14 -> 20 [size =\"8034304\"]\n  14 -> 21 [size =\"8034304\"]\n  14 -> 22 [size =\"8034304\"]\n  14 -> 23 [size =\"8034304\"]\n  14 -> 28 [size =\"8034304\"]\n  14 -> 29 [size =\"8034304\"]\n  14 -> 31 [size =\"8034304\"]\n  14 -> 32 [size =\"8034304\"]\n  14 -> 34 [size =\"8034304\"]\n  15 [size=\"79009280\", alpha=\"0.03\", expect_size=\"31603712\"] \n  15 -> 16 [size =\"31603712\"]\n  15 -> 19 [size =\"31603712\"]\n  15 -> 20 [size =\"31603712\"]\n  15 -> 21 [size =\"31603712\"]\n  15 -> 22 [size =\"31603712\"]\n  15 -> 23 [size =\"31603712\"]\n  15 -> 24 [size =\"31603712\"]\n  15 -> 26 [size =\"31603712\"]\n  15 -> 27 [size =\"31603712\"]\n  15 -> 29 [size =\"31603712\"]\n  15 -> 34 [size =\"31603712\"]\n  16 [size=\"103943680\", alpha=\"0.00\", expect_size=\"41577472\"] \n  16 -> 35 [size =\"41577472\"]\n  17 [size=\"48478720\", alpha=\"0.01\", expect_size=\"19391488\"] \n  17 -> 36 [size =\"19391488\"]\n  17 -> 40 [size =\"19391488\"]\n  18 [size=\"67345920\", alpha=\"0.03\", expect_size=\"26938368\"] \n  18 -> 39 [size =\"26938368\"]\n  19 [size=\"47086080\", alpha=\"0.09\", expect_size=\"18834432\"] \n  19 -> 35 [size =\"18834432\"]\n  19 -> 38 [size =\"18834432\"]\n  20 [size=\"115589120\", alpha=\"0.07\", expect_size=\"46235648\"] \n  20 -> 35 [size =\"46235648\"]\n  21 [size=\"62484480\", alpha=\"0.16\", expect_size=\"24993792\"] \n  21 -> 36 [size =\"24993792\"]\n  21 -> 39 [size =\"24993792\"]\n  22 [size=\"109240320\", alpha=\"0.06\", expect_size=\"43696128\"] \n  22 -> 35 [size =\"43696128\"]\n  22 -> 39 [size =\"43696128\"]\n  22 -> 40 [size =\"43696128\"]\n  23 [size=\"32744960\", alpha=\"0.11\", expect_size=\"13097984\"] \n  23 -> 40 [size =\"13097984\"]\n  24 [size=\"23114240\", alpha=\"0.09\", expect_size=\"9245696\"] \n  24 -> 35 [size =\"9245696\"]\n  24 -> 39 [size =\"9245696\"]\n  25 [size=\"31997440\", alpha=\"0.12\", expect_size=\"12798976\"] \n  25 -> 36 [size =\"12798976\"]\n  25 -> 39 [size =\"12798976\"]\n  26 [size=\"48399360\", alpha=\"0.11\", expect_size=\"19359744\"] \n  26 -> 39 [size =\"19359744\"]\n  27 [size=\"49797120\", alpha=\"0.10\", expect_size=\"19918848\"] \n  27 -> 36 [size =\"19918848\"]\n  27 -> 38 [size =\"19918848\"]\n  27 -> 39 [size =\"19918848\"]\n  28 [size=\"57909760\", alpha=\"0.02\", expect_size=\"23163904\"] \n  28 -> 35 [size =\"23163904\"]\n  28 -> 36 [size =\"23163904\"]\n  28 -> 38 [size =\"23163904\"]\n  28 -> 39 [size =\"23163904\"]\n  29 [size=\"78535680\", alpha=\"0.19\", expect_size=\"31414272\"] \n  29 -> 37 [size =\"31414272\"]\n  29 -> 39 [size =\"31414272\"]\n  30 [size=\"129231360\", alpha=\"0.19\", expect_size=\"51692544\"] \n  30 -> 39 [size =\"51692544\"]\n  31 [size=\"55365120\", alpha=\"0.14\", expect_size=\"22146048\"] \n  31 -> 35 [size =\"22146048\"]\n  31 -> 39 [size =\"22146048\"]\n  32 [size=\"29217280\", alpha=\"0.13\", expect_size=\"11686912\"] \n  32 -> 38 [size =\"11686912\"]\n  33 [size=\"66711040\", alpha=\"0.16\", expect_size=\"26684416\"] \n  34 [size=\"15004160\", alpha=\"0.19\", expect_size=\"6001664\"] \n  34 -> 36 [size =\"6001664\"]\n  35 [size=\"67079680\", alpha=\"0.14\", expect_size=\"26831872\"] \n  36 [size=\"21429760\", alpha=\"0.05\", expect_size=\"8571904\"] \n  37 [size=\"87662080\", alpha=\"0.01\", expect_size=\"35064832\"] \n  38 [size=\"28533760\", alpha=\"0.07\", expect_size=\"11413504\"] \n  39 [size=\"39070720\", alpha=\"0.18\", expect_size=\"15628288\"] \n  40 [size=\"34096640\", alpha=\"0.07\", expect_size=\"13638656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83425280\", alpha=\"0.06\", expect_size=\"33370112\"] \n  1 -> 14 [size =\"33370112\"]\n  1 -> 16 [size =\"33370112\"]\n  1 -> 17 [size =\"33370112\"]\n  1 -> 22 [size =\"33370112\"]\n  1 -> 23 [size =\"33370112\"]\n  1 -> 24 [size =\"33370112\"]\n  1 -> 26 [size =\"33370112\"]\n  2 [size=\"54581760\", alpha=\"0.13\", expect_size=\"21832704\"] \n  2 -> 14 [size =\"21832704\"]\n  2 -> 16 [size =\"21832704\"]\n  2 -> 17 [size =\"21832704\"]\n  2 -> 18 [size =\"21832704\"]\n  2 -> 22 [size =\"21832704\"]\n  2 -> 24 [size =\"21832704\"]\n  3 [size=\"56435200\", alpha=\"0.14\", expect_size=\"22574080\"] \n  3 -> 16 [size =\"22574080\"]\n  3 -> 16 [size =\"22574080\"]\n  3 -> 21 [size =\"22574080\"]\n  3 -> 24 [size =\"22574080\"]\n  3 -> 25 [size =\"22574080\"]\n  3 -> 27 [size =\"22574080\"]\n  4 [size=\"122920960\", alpha=\"0.09\", expect_size=\"49168384\"] \n  4 -> 26 [size =\"49168384\"]\n  4 -> 27 [size =\"49168384\"]\n  5 [size=\"36935680\", alpha=\"0.15\", expect_size=\"14774272\"] \n  5 -> 14 [size =\"14774272\"]\n  5 -> 15 [size =\"14774272\"]\n  5 -> 16 [size =\"14774272\"]\n  5 -> 18 [size =\"14774272\"]\n  5 -> 19 [size =\"14774272\"]\n  5 -> 21 [size =\"14774272\"]\n  5 -> 24 [size =\"14774272\"]\n  5 -> 25 [size =\"14774272\"]\n  5 -> 26 [size =\"14774272\"]\n  5 -> 27 [size =\"14774272\"]\n  6 [size=\"31106560\", alpha=\"0.03\", expect_size=\"12442624\"] \n  6 -> 13 [size =\"12442624\"]\n  6 -> 21 [size =\"12442624\"]\n  6 -> 22 [size =\"12442624\"]\n  6 -> 27 [size =\"12442624\"]\n  7 [size=\"23083520\", alpha=\"0.18\", expect_size=\"9233408\"] \n  7 -> 12 [size =\"9233408\"]\n  7 -> 13 [size =\"9233408\"]\n  7 -> 14 [size =\"9233408\"]\n  7 -> 15 [size =\"9233408\"]\n  7 -> 17 [size =\"9233408\"]\n  7 -> 20 [size =\"9233408\"]\n  7 -> 27 [size =\"9233408\"]\n  8 [size=\"24573440\", alpha=\"0.05\", expect_size=\"9829376\"] \n  8 -> 12 [size =\"9829376\"]\n  8 -> 13 [size =\"9829376\"]\n  8 -> 14 [size =\"9829376\"]\n  8 -> 15 [size =\"9829376\"]\n  8 -> 16 [size =\"9829376\"]\n  8 -> 17 [size =\"9829376\"]\n  8 -> 20 [size =\"9829376\"]\n  8 -> 23 [size =\"9829376\"]\n  8 -> 27 [size =\"9829376\"]\n  9 [size=\"30886400\", alpha=\"0.14\", expect_size=\"12354560\"] \n  9 -> 12 [size =\"12354560\"]\n  9 -> 13 [size =\"12354560\"]\n  9 -> 15 [size =\"12354560\"]\n  9 -> 17 [size =\"12354560\"]\n  9 -> 18 [size =\"12354560\"]\n  9 -> 19 [size =\"12354560\"]\n  9 -> 27 [size =\"12354560\"]\n  10 [size=\"51660800\", alpha=\"0.10\", expect_size=\"20664320\"] \n  10 -> 12 [size =\"20664320\"]\n  10 -> 19 [size =\"20664320\"]\n  10 -> 20 [size =\"20664320\"]\n  10 -> 22 [size =\"20664320\"]\n  10 -> 23 [size =\"20664320\"]\n  10 -> 26 [size =\"20664320\"]\n  11 [size=\"24647680\", alpha=\"0.14\", expect_size=\"9859072\"] \n  11 -> 12 [size =\"9859072\"]\n  11 -> 15 [size =\"9859072\"]\n  11 -> 16 [size =\"9859072\"]\n  11 -> 17 [size =\"9859072\"]\n  11 -> 22 [size =\"9859072\"]\n  11 -> 23 [size =\"9859072\"]\n  11 -> 26 [size =\"9859072\"]\n  12 [size=\"61478400\", alpha=\"0.04\", expect_size=\"24591360\"] \n  12 -> 28 [size =\"24591360\"]\n  12 -> 29 [size =\"24591360\"]\n  12 -> 32 [size =\"24591360\"]\n  12 -> 37 [size =\"24591360\"]\n  13 [size=\"18618880\", alpha=\"0.16\", expect_size=\"7447552\"] \n  13 -> 29 [size =\"7447552\"]\n  13 -> 35 [size =\"7447552\"]\n  13 -> 36 [size =\"7447552\"]\n  13 -> 38 [size =\"7447552\"]\n  13 -> 40 [size =\"7447552\"]\n  14 [size=\"98836480\", alpha=\"0.11\", expect_size=\"39534592\"] \n  14 -> 28 [size =\"39534592\"]\n  14 -> 29 [size =\"39534592\"]\n  14 -> 38 [size =\"39534592\"]\n  15 [size=\"36697600\", alpha=\"0.09\", expect_size=\"14679040\"] \n  15 -> 28 [size =\"14679040\"]\n  15 -> 29 [size =\"14679040\"]\n  15 -> 37 [size =\"14679040\"]\n  15 -> 38 [size =\"14679040\"]\n  16 [size=\"122639360\", alpha=\"0.03\", expect_size=\"49055744\"] \n  16 -> 29 [size =\"49055744\"]\n  16 -> 31 [size =\"49055744\"]\n  16 -> 39 [size =\"49055744\"]\n  16 -> 40 [size =\"49055744\"]\n  17 [size=\"23646720\", alpha=\"0.02\", expect_size=\"9458688\"] \n  17 -> 31 [size =\"9458688\"]\n  17 -> 36 [size =\"9458688\"]\n  17 -> 37 [size =\"9458688\"]\n  17 -> 38 [size =\"9458688\"]\n  17 -> 40 [size =\"9458688\"]\n  18 [size=\"128128000\", alpha=\"0.03\", expect_size=\"51251200\"] \n  18 -> 28 [size =\"51251200\"]\n  18 -> 29 [size =\"51251200\"]\n  18 -> 32 [size =\"51251200\"]\n  18 -> 34 [size =\"51251200\"]\n  18 -> 36 [size =\"51251200\"]\n  18 -> 40 [size =\"51251200\"]\n  19 [size=\"37061120\", alpha=\"0.11\", expect_size=\"14824448\"] \n  19 -> 32 [size =\"14824448\"]\n  19 -> 36 [size =\"14824448\"]\n  19 -> 40 [size =\"14824448\"]\n  20 [size=\"117824000\", alpha=\"0.08\", expect_size=\"47129600\"] \n  20 -> 28 [size =\"47129600\"]\n  20 -> 32 [size =\"47129600\"]\n  20 -> 38 [size =\"47129600\"]\n  21 [size=\"55915520\", alpha=\"0.16\", expect_size=\"22366208\"] \n  21 -> 32 [size =\"22366208\"]\n  21 -> 36 [size =\"22366208\"]\n  21 -> 37 [size =\"22366208\"]\n  22 [size=\"18659840\", alpha=\"0.11\", expect_size=\"7463936\"] \n  22 -> 30 [size =\"7463936\"]\n  22 -> 36 [size =\"7463936\"]\n  22 -> 37 [size =\"7463936\"]\n  22 -> 38 [size =\"7463936\"]\n  23 [size=\"44938240\", alpha=\"0.14\", expect_size=\"17975296\"] \n  23 -> 28 [size =\"17975296\"]\n  23 -> 31 [size =\"17975296\"]\n  23 -> 36 [size =\"17975296\"]\n  23 -> 40 [size =\"17975296\"]\n  24 [size=\"21419520\", alpha=\"0.15\", expect_size=\"8567808\"] \n  24 -> 29 [size =\"8567808\"]\n  24 -> 38 [size =\"8567808\"]\n  24 -> 39 [size =\"8567808\"]\n  25 [size=\"86517760\", alpha=\"0.01\", expect_size=\"34607104\"] \n  25 -> 29 [size =\"34607104\"]\n  25 -> 33 [size =\"34607104\"]\n  25 -> 38 [size =\"34607104\"]\n  25 -> 39 [size =\"34607104\"]\n  26 [size=\"23733760\", alpha=\"0.09\", expect_size=\"9493504\"] \n  26 -> 29 [size =\"9493504\"]\n  26 -> 35 [size =\"9493504\"]\n  26 -> 38 [size =\"9493504\"]\n  27 [size=\"41587200\", alpha=\"0.19\", expect_size=\"16634880\"] \n  27 -> 28 [size =\"16634880\"]\n  27 -> 29 [size =\"16634880\"]\n  27 -> 32 [size =\"16634880\"]\n  28 [size=\"53224960\", alpha=\"0.11\", expect_size=\"21289984\"] \n  29 [size=\"70379520\", alpha=\"0.07\", expect_size=\"28151808\"] \n  30 [size=\"18969600\", alpha=\"0.08\", expect_size=\"7587840\"] \n  31 [size=\"64394240\", alpha=\"0.12\", expect_size=\"25757696\"] \n  32 [size=\"41044480\", alpha=\"0.03\", expect_size=\"16417792\"] \n  33 [size=\"108357120\", alpha=\"0.16\", expect_size=\"43342848\"] \n  34 [size=\"73735680\", alpha=\"0.03\", expect_size=\"29494272\"] \n  35 [size=\"46991360\", alpha=\"0.15\", expect_size=\"18796544\"] \n  36 [size=\"51955200\", alpha=\"0.04\", expect_size=\"20782080\"] \n  37 [size=\"106624000\", alpha=\"0.16\", expect_size=\"42649600\"] \n  38 [size=\"103014400\", alpha=\"0.07\", expect_size=\"41205760\"] \n  39 [size=\"52590080\", alpha=\"0.02\", expect_size=\"21036032\"] \n  40 [size=\"91100160\", alpha=\"0.15\", expect_size=\"36440064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85888000\", alpha=\"0.20\", expect_size=\"34355200\"] \n  1 -> 2 [size =\"34355200\"]\n  2 [size=\"114467840\", alpha=\"0.09\", expect_size=\"45787136\"] \n  2 -> 3 [size =\"45787136\"]\n  3 [size=\"129991680\", alpha=\"0.14\", expect_size=\"51996672\"] \n  3 -> 4 [size =\"51996672\"]\n  4 [size=\"77056000\", alpha=\"0.11\", expect_size=\"30822400\"] \n  4 -> 5 [size =\"30822400\"]\n  5 [size=\"101539840\", alpha=\"0.14\", expect_size=\"40615936\"] \n  5 -> 6 [size =\"40615936\"]\n  6 [size=\"51238400\", alpha=\"0.07\", expect_size=\"20495360\"] \n  6 -> 7 [size =\"20495360\"]\n  7 [size=\"117537280\", alpha=\"0.04\", expect_size=\"47014912\"] \n  7 -> 8 [size =\"47014912\"]\n  8 [size=\"68328960\", alpha=\"0.13\", expect_size=\"27331584\"] \n  8 -> 9 [size =\"27331584\"]\n  9 [size=\"64023040\", alpha=\"0.14\", expect_size=\"25609216\"] \n  9 -> 10 [size =\"25609216\"]\n  10 [size=\"90273280\", alpha=\"0.17\", expect_size=\"36109312\"] \n  10 -> 11 [size =\"36109312\"]\n  11 [size=\"87488000\", alpha=\"0.03\", expect_size=\"34995200\"] \n  11 -> 12 [size =\"34995200\"]\n  12 [size=\"86026240\", alpha=\"0.16\", expect_size=\"34410496\"] \n  12 -> 13 [size =\"34410496\"]\n  13 [size=\"21504000\", alpha=\"0.14\", expect_size=\"8601600\"] \n  13 -> 14 [size =\"8601600\"]\n  14 [size=\"106542080\", alpha=\"0.13\", expect_size=\"42616832\"] \n  14 -> 15 [size =\"42616832\"]\n  15 [size=\"52206080\", alpha=\"0.20\", expect_size=\"20882432\"] \n  15 -> 16 [size =\"20882432\"]\n  16 [size=\"14809600\", alpha=\"0.17\", expect_size=\"5923840\"] \n  16 -> 17 [size =\"5923840\"]\n  17 [size=\"56023040\", alpha=\"0.07\", expect_size=\"22409216\"] \n  17 -> 18 [size =\"22409216\"]\n  18 [size=\"77780480\", alpha=\"0.01\", expect_size=\"31112192\"] \n  18 -> 19 [size =\"31112192\"]\n  19 [size=\"35412480\", alpha=\"0.16\", expect_size=\"14164992\"] \n  19 -> 20 [size =\"14164992\"]\n  20 [size=\"115622400\", alpha=\"0.12\", expect_size=\"46248960\"] \n  20 -> 21 [size =\"46248960\"]\n  21 [size=\"98455040\", alpha=\"0.20\", expect_size=\"39382016\"] \n  21 -> 22 [size =\"39382016\"]\n  22 [size=\"114257920\", alpha=\"0.05\", expect_size=\"45703168\"] \n  22 -> 23 [size =\"45703168\"]\n  23 [size=\"88069120\", alpha=\"0.11\", expect_size=\"35227648\"] \n  23 -> 24 [size =\"35227648\"]\n  24 [size=\"54213120\", alpha=\"0.07\", expect_size=\"21685248\"] \n  24 -> 25 [size =\"21685248\"]\n  25 [size=\"15206400\", alpha=\"0.18\", expect_size=\"6082560\"] \n  25 -> 26 [size =\"6082560\"]\n  26 [size=\"14686720\", alpha=\"0.15\", expect_size=\"5874688\"] \n  26 -> 27 [size =\"5874688\"]\n  27 [size=\"114649600\", alpha=\"0.11\", expect_size=\"45859840\"] \n  27 -> 28 [size =\"45859840\"]\n  28 [size=\"35279360\", alpha=\"0.15\", expect_size=\"14111744\"] \n  28 -> 29 [size =\"14111744\"]\n  29 [size=\"42150400\", alpha=\"0.09\", expect_size=\"16860160\"] \n  29 -> 30 [size =\"16860160\"]\n  30 [size=\"16471040\", alpha=\"0.15\", expect_size=\"6588416\"] \n  30 -> 31 [size =\"6588416\"]\n  31 [size=\"84805120\", alpha=\"0.14\", expect_size=\"33922048\"] \n  31 -> 32 [size =\"33922048\"]\n  32 [size=\"84006400\", alpha=\"0.05\", expect_size=\"33602560\"] \n  32 -> 33 [size =\"33602560\"]\n  33 [size=\"115438080\", alpha=\"0.18\", expect_size=\"46175232\"] \n  33 -> 34 [size =\"46175232\"]\n  34 [size=\"60055040\", alpha=\"0.07\", expect_size=\"24022016\"] \n  34 -> 35 [size =\"24022016\"]\n  35 [size=\"99770880\", alpha=\"0.02\", expect_size=\"39908352\"] \n  35 -> 36 [size =\"39908352\"]\n  36 [size=\"87091200\", alpha=\"0.17\", expect_size=\"34836480\"] \n  36 -> 37 [size =\"34836480\"]\n  37 [size=\"60149760\", alpha=\"0.00\", expect_size=\"24059904\"] \n  37 -> 38 [size =\"24059904\"]\n  38 [size=\"123379200\", alpha=\"0.14\", expect_size=\"49351680\"] \n  38 -> 39 [size =\"49351680\"]\n  39 [size=\"96069120\", alpha=\"0.12\", expect_size=\"38427648\"] \n  39 -> 40 [size =\"38427648\"]\n  40 [size=\"29140480\", alpha=\"0.06\", expect_size=\"11656192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76042240\", alpha=\"0.01\", expect_size=\"38021120\"] \n  1 -> 32 [size =\"38021120\"]\n  1 -> 36 [size =\"38021120\"]\n  2 [size=\"42854400\", alpha=\"0.15\", expect_size=\"21427200\"] \n  2 -> 30 [size =\"21427200\"]\n  2 -> 31 [size =\"21427200\"]\n  2 -> 36 [size =\"21427200\"]\n  2 -> 37 [size =\"21427200\"]\n  2 -> 39 [size =\"21427200\"]\n  2 -> 40 [size =\"21427200\"]\n  3 [size=\"54069248\", alpha=\"0.06\", expect_size=\"27034624\"] \n  3 -> 31 [size =\"27034624\"]\n  3 -> 33 [size =\"27034624\"]\n  3 -> 34 [size =\"27034624\"]\n  3 -> 35 [size =\"27034624\"]\n  3 -> 36 [size =\"27034624\"]\n  3 -> 37 [size =\"27034624\"]\n  3 -> 40 [size =\"27034624\"]\n  4 [size=\"45838336\", alpha=\"0.07\", expect_size=\"22919168\"] \n  4 -> 31 [size =\"22919168\"]\n  4 -> 33 [size =\"22919168\"]\n  4 -> 36 [size =\"22919168\"]\n  4 -> 37 [size =\"22919168\"]\n  4 -> 39 [size =\"22919168\"]\n  5 [size=\"68155392\", alpha=\"0.13\", expect_size=\"34077696\"] \n  5 -> 35 [size =\"34077696\"]\n  5 -> 36 [size =\"34077696\"]\n  5 -> 40 [size =\"34077696\"]\n  6 [size=\"51218432\", alpha=\"0.08\", expect_size=\"25609216\"] \n  6 -> 31 [size =\"25609216\"]\n  6 -> 35 [size =\"25609216\"]\n  6 -> 38 [size =\"25609216\"]\n  6 -> 40 [size =\"25609216\"]\n  7 [size=\"43026432\", alpha=\"0.01\", expect_size=\"21513216\"] \n  7 -> 30 [size =\"21513216\"]\n  7 -> 32 [size =\"21513216\"]\n  7 -> 35 [size =\"21513216\"]\n  7 -> 36 [size =\"21513216\"]\n  7 -> 40 [size =\"21513216\"]\n  8 [size=\"78182400\", alpha=\"0.10\", expect_size=\"39091200\"] \n  8 -> 32 [size =\"39091200\"]\n  8 -> 34 [size =\"39091200\"]\n  8 -> 37 [size =\"39091200\"]\n  8 -> 39 [size =\"39091200\"]\n  8 -> 40 [size =\"39091200\"]\n  9 [size=\"36241408\", alpha=\"0.01\", expect_size=\"18120704\"] \n  9 -> 30 [size =\"18120704\"]\n  9 -> 35 [size =\"18120704\"]\n  9 -> 40 [size =\"18120704\"]\n  10 [size=\"47751168\", alpha=\"0.14\", expect_size=\"23875584\"] \n  10 -> 33 [size =\"23875584\"]\n  10 -> 35 [size =\"23875584\"]\n  10 -> 37 [size =\"23875584\"]\n  10 -> 40 [size =\"23875584\"]\n  11 [size=\"90986496\", alpha=\"0.14\", expect_size=\"45493248\"] \n  11 -> 31 [size =\"45493248\"]\n  11 -> 33 [size =\"45493248\"]\n  11 -> 35 [size =\"45493248\"]\n  11 -> 40 [size =\"45493248\"]\n  12 [size=\"96630784\", alpha=\"0.18\", expect_size=\"48315392\"] \n  12 -> 32 [size =\"48315392\"]\n  12 -> 34 [size =\"48315392\"]\n  12 -> 35 [size =\"48315392\"]\n  12 -> 36 [size =\"48315392\"]\n  12 -> 37 [size =\"48315392\"]\n  12 -> 40 [size =\"48315392\"]\n  13 [size=\"74606592\", alpha=\"0.01\", expect_size=\"37303296\"] \n  13 -> 32 [size =\"37303296\"]\n  13 -> 35 [size =\"37303296\"]\n  13 -> 35 [size =\"37303296\"]\n  13 -> 37 [size =\"37303296\"]\n  13 -> 40 [size =\"37303296\"]\n  13 -> 40 [size =\"37303296\"]\n  14 [size=\"100724736\", alpha=\"0.19\", expect_size=\"50362368\"] \n  14 -> 32 [size =\"50362368\"]\n  14 -> 40 [size =\"50362368\"]\n  15 [size=\"41674752\", alpha=\"0.12\", expect_size=\"20837376\"] \n  15 -> 32 [size =\"20837376\"]\n  15 -> 37 [size =\"20837376\"]\n  15 -> 38 [size =\"20837376\"]\n  15 -> 39 [size =\"20837376\"]\n  15 -> 40 [size =\"20837376\"]\n  16 [size=\"101931008\", alpha=\"0.06\", expect_size=\"50965504\"] \n  16 -> 30 [size =\"50965504\"]\n  16 -> 33 [size =\"50965504\"]\n  16 -> 34 [size =\"50965504\"]\n  16 -> 35 [size =\"50965504\"]\n  16 -> 36 [size =\"50965504\"]\n  16 -> 37 [size =\"50965504\"]\n  16 -> 40 [size =\"50965504\"]\n  17 [size=\"46411776\", alpha=\"0.10\", expect_size=\"23205888\"] \n  17 -> 31 [size =\"23205888\"]\n  17 -> 32 [size =\"23205888\"]\n  17 -> 38 [size =\"23205888\"]\n  17 -> 40 [size =\"23205888\"]\n  18 [size=\"49242112\", alpha=\"0.08\", expect_size=\"24621056\"] \n  18 -> 31 [size =\"24621056\"]\n  18 -> 34 [size =\"24621056\"]\n  18 -> 35 [size =\"24621056\"]\n  18 -> 37 [size =\"24621056\"]\n  18 -> 38 [size =\"24621056\"]\n  18 -> 40 [size =\"24621056\"]\n  19 [size=\"96790528\", alpha=\"0.19\", expect_size=\"48395264\"] \n  19 -> 30 [size =\"48395264\"]\n  19 -> 35 [size =\"48395264\"]\n  19 -> 36 [size =\"48395264\"]\n  19 -> 38 [size =\"48395264\"]\n  19 -> 39 [size =\"48395264\"]\n  19 -> 40 [size =\"48395264\"]\n  20 [size=\"101894144\", alpha=\"0.05\", expect_size=\"50947072\"] \n  20 -> 30 [size =\"50947072\"]\n  20 -> 31 [size =\"50947072\"]\n  20 -> 33 [size =\"50947072\"]\n  20 -> 34 [size =\"50947072\"]\n  20 -> 35 [size =\"50947072\"]\n  20 -> 39 [size =\"50947072\"]\n  20 -> 40 [size =\"50947072\"]\n  21 [size=\"72226816\", alpha=\"0.04\", expect_size=\"36113408\"] \n  21 -> 35 [size =\"36113408\"]\n  21 -> 40 [size =\"36113408\"]\n  22 [size=\"42964992\", alpha=\"0.10\", expect_size=\"21482496\"] \n  22 -> 31 [size =\"21482496\"]\n  22 -> 32 [size =\"21482496\"]\n  22 -> 33 [size =\"21482496\"]\n  22 -> 37 [size =\"21482496\"]\n  22 -> 40 [size =\"21482496\"]\n  23 [size=\"33234944\", alpha=\"0.06\", expect_size=\"16617472\"] \n  23 -> 30 [size =\"16617472\"]\n  23 -> 31 [size =\"16617472\"]\n  23 -> 37 [size =\"16617472\"]\n  23 -> 40 [size =\"16617472\"]\n  23 -> 40 [size =\"16617472\"]\n  24 [size=\"39118848\", alpha=\"0.09\", expect_size=\"19559424\"] \n  24 -> 31 [size =\"19559424\"]\n  24 -> 32 [size =\"19559424\"]\n  24 -> 33 [size =\"19559424\"]\n  24 -> 34 [size =\"19559424\"]\n  24 -> 36 [size =\"19559424\"]\n  24 -> 38 [size =\"19559424\"]\n  24 -> 40 [size =\"19559424\"]\n  25 [size=\"36227072\", alpha=\"0.04\", expect_size=\"18113536\"] \n  25 -> 31 [size =\"18113536\"]\n  25 -> 33 [size =\"18113536\"]\n  25 -> 35 [size =\"18113536\"]\n  25 -> 37 [size =\"18113536\"]\n  26 [size=\"95117312\", alpha=\"0.08\", expect_size=\"47558656\"] \n  26 -> 30 [size =\"47558656\"]\n  26 -> 31 [size =\"47558656\"]\n  26 -> 32 [size =\"47558656\"]\n  26 -> 33 [size =\"47558656\"]\n  26 -> 35 [size =\"47558656\"]\n  27 [size=\"29626368\", alpha=\"0.18\", expect_size=\"14813184\"] \n  27 -> 31 [size =\"14813184\"]\n  27 -> 31 [size =\"14813184\"]\n  27 -> 32 [size =\"14813184\"]\n  27 -> 35 [size =\"14813184\"]\n  27 -> 35 [size =\"14813184\"]\n  27 -> 36 [size =\"14813184\"]\n  27 -> 40 [size =\"14813184\"]\n  28 [size=\"75046912\", alpha=\"0.03\", expect_size=\"37523456\"] \n  28 -> 30 [size =\"37523456\"]\n  28 -> 31 [size =\"37523456\"]\n  28 -> 32 [size =\"37523456\"]\n  28 -> 33 [size =\"37523456\"]\n  28 -> 39 [size =\"37523456\"]\n  29 [size=\"18696192\", alpha=\"0.14\", expect_size=\"9348096\"] \n  29 -> 31 [size =\"9348096\"]\n  29 -> 31 [size =\"9348096\"]\n  29 -> 32 [size =\"9348096\"]\n  29 -> 33 [size =\"9348096\"]\n  29 -> 36 [size =\"9348096\"]\n  30 [size=\"16115712\", alpha=\"0.12\", expect_size=\"8057856\"] \n  31 [size=\"39116800\", alpha=\"0.07\", expect_size=\"19558400\"] \n  32 [size=\"58886144\", alpha=\"0.01\", expect_size=\"29443072\"] \n  33 [size=\"13418496\", alpha=\"0.08\", expect_size=\"6709248\"] \n  34 [size=\"40673280\", alpha=\"0.15\", expect_size=\"20336640\"] \n  35 [size=\"81633280\", alpha=\"0.08\", expect_size=\"40816640\"] \n  36 [size=\"99594240\", alpha=\"0.00\", expect_size=\"49797120\"] \n  37 [size=\"40921088\", alpha=\"0.00\", expect_size=\"20460544\"] \n  38 [size=\"32524288\", alpha=\"0.08\", expect_size=\"16262144\"] \n  39 [size=\"47732736\", alpha=\"0.15\", expect_size=\"23866368\"] \n  40 [size=\"17928192\", alpha=\"0.01\", expect_size=\"8964096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106625707\", alpha=\"0.05\", expect_size=\"31987712\"] \n  1 -> 2 [size =\"31987712\"]\n  2 [size=\"114049707\", alpha=\"0.14\", expect_size=\"34214912\"] \n  2 -> 3 [size =\"34214912\"]\n  3 [size=\"43861333\", alpha=\"0.10\", expect_size=\"13158400\"] \n  3 -> 4 [size =\"13158400\"]\n  4 [size=\"113288533\", alpha=\"0.19\", expect_size=\"33986560\"] \n  4 -> 5 [size =\"33986560\"]\n  5 [size=\"85101227\", alpha=\"0.07\", expect_size=\"25530368\"] \n  5 -> 6 [size =\"25530368\"]\n  6 [size=\"169861120\", alpha=\"0.19\", expect_size=\"50958336\"] \n  6 -> 7 [size =\"50958336\"]\n  7 [size=\"163706880\", alpha=\"0.09\", expect_size=\"49112064\"] \n  7 -> 8 [size =\"49112064\"]\n  8 [size=\"136178347\", alpha=\"0.17\", expect_size=\"40853504\"] \n  8 -> 9 [size =\"40853504\"]\n  9 [size=\"106861227\", alpha=\"0.15\", expect_size=\"32058368\"] \n  9 -> 10 [size =\"32058368\"]\n  10 [size=\"31010133\", alpha=\"0.07\", expect_size=\"9303040\"] \n  10 -> 11 [size =\"9303040\"]\n  11 [size=\"170519893\", alpha=\"0.12\", expect_size=\"51155968\"] \n  11 -> 12 [size =\"51155968\"]\n  12 [size=\"49012053\", alpha=\"0.17\", expect_size=\"14703616\"] \n  12 -> 13 [size =\"14703616\"]\n  13 [size=\"156422827\", alpha=\"0.04\", expect_size=\"46926848\"] \n  13 -> 14 [size =\"46926848\"]\n  14 [size=\"75827200\", alpha=\"0.09\", expect_size=\"22748160\"] \n  14 -> 15 [size =\"22748160\"]\n  15 [size=\"69703680\", alpha=\"0.19\", expect_size=\"20911104\"] \n  15 -> 16 [size =\"20911104\"]\n  16 [size=\"126214827\", alpha=\"0.10\", expect_size=\"37864448\"] \n  16 -> 17 [size =\"37864448\"]\n  17 [size=\"119947947\", alpha=\"0.06\", expect_size=\"35984384\"] \n  17 -> 18 [size =\"35984384\"]\n  18 [size=\"31993173\", alpha=\"0.06\", expect_size=\"9597952\"] \n  18 -> 19 [size =\"9597952\"]\n  19 [size=\"169205760\", alpha=\"0.17\", expect_size=\"50761728\"] \n  19 -> 20 [size =\"50761728\"]\n  20 [size=\"131235840\", alpha=\"0.15\", expect_size=\"39370752\"] \n  20 -> 21 [size =\"39370752\"]\n  21 [size=\"32894293\", alpha=\"0.04\", expect_size=\"9868288\"] \n  21 -> 22 [size =\"9868288\"]\n  22 [size=\"130399573\", alpha=\"0.06\", expect_size=\"39119872\"] \n  22 -> 23 [size =\"39119872\"]\n  23 [size=\"105076053\", alpha=\"0.11\", expect_size=\"31522816\"] \n  23 -> 24 [size =\"31522816\"]\n  24 [size=\"139475627\", alpha=\"0.08\", expect_size=\"41842688\"] \n  24 -> 25 [size =\"41842688\"]\n  25 [size=\"53104640\", alpha=\"0.14\", expect_size=\"15931392\"] \n  25 -> 26 [size =\"15931392\"]\n  26 [size=\"47885653\", alpha=\"0.19\", expect_size=\"14365696\"] \n  26 -> 27 [size =\"14365696\"]\n  27 [size=\"122787840\", alpha=\"0.02\", expect_size=\"36836352\"] \n  27 -> 28 [size =\"36836352\"]\n  28 [size=\"171393707\", alpha=\"0.01\", expect_size=\"51418112\"] \n  28 -> 29 [size =\"51418112\"]\n  29 [size=\"62324053\", alpha=\"0.11\", expect_size=\"18697216\"] \n  29 -> 30 [size =\"18697216\"]\n  30 [size=\"39045120\", alpha=\"0.03\", expect_size=\"11713536\"] \n  30 -> 31 [size =\"11713536\"]\n  31 [size=\"156846080\", alpha=\"0.14\", expect_size=\"47053824\"] \n  31 -> 32 [size =\"47053824\"]\n  32 [size=\"33013760\", alpha=\"0.10\", expect_size=\"9904128\"] \n  32 -> 33 [size =\"9904128\"]\n  33 [size=\"78704640\", alpha=\"0.03\", expect_size=\"23611392\"] \n  33 -> 34 [size =\"23611392\"]\n  34 [size=\"163010560\", alpha=\"0.03\", expect_size=\"48903168\"] \n  34 -> 35 [size =\"48903168\"]\n  35 [size=\"67177813\", alpha=\"0.10\", expect_size=\"20153344\"] \n  35 -> 36 [size =\"20153344\"]\n  36 [size=\"173404160\", alpha=\"0.11\", expect_size=\"52021248\"] \n  36 -> 37 [size =\"52021248\"]\n  37 [size=\"162215253\", alpha=\"0.05\", expect_size=\"48664576\"] \n  37 -> 38 [size =\"48664576\"]\n  38 [size=\"22565547\", alpha=\"0.01\", expect_size=\"6769664\"] \n  38 -> 39 [size =\"6769664\"]\n  39 [size=\"30436693\", alpha=\"0.16\", expect_size=\"9131008\"] \n  39 -> 40 [size =\"9131008\"]\n  40 [size=\"117930667\", alpha=\"0.05\", expect_size=\"35379200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19396608\", alpha=\"0.06\", expect_size=\"9698304\"] \n  1 -> 36 [size =\"9698304\"]\n  1 -> 37 [size =\"9698304\"]\n  1 -> 40 [size =\"9698304\"]\n  2 [size=\"24301568\", alpha=\"0.06\", expect_size=\"12150784\"] \n  2 -> 31 [size =\"12150784\"]\n  2 -> 36 [size =\"12150784\"]\n  2 -> 37 [size =\"12150784\"]\n  2 -> 38 [size =\"12150784\"]\n  2 -> 39 [size =\"12150784\"]\n  2 -> 40 [size =\"12150784\"]\n  3 [size=\"55867392\", alpha=\"0.03\", expect_size=\"27933696\"] \n  3 -> 35 [size =\"27933696\"]\n  3 -> 37 [size =\"27933696\"]\n  3 -> 37 [size =\"27933696\"]\n  4 [size=\"26064896\", alpha=\"0.01\", expect_size=\"13032448\"] \n  4 -> 30 [size =\"13032448\"]\n  4 -> 31 [size =\"13032448\"]\n  4 -> 34 [size =\"13032448\"]\n  4 -> 39 [size =\"13032448\"]\n  4 -> 40 [size =\"13032448\"]\n  5 [size=\"51957760\", alpha=\"0.10\", expect_size=\"25978880\"] \n  5 -> 33 [size =\"25978880\"]\n  5 -> 34 [size =\"25978880\"]\n  6 [size=\"89198592\", alpha=\"0.13\", expect_size=\"44599296\"] \n  6 -> 29 [size =\"44599296\"]\n  6 -> 30 [size =\"44599296\"]\n  6 -> 33 [size =\"44599296\"]\n  6 -> 34 [size =\"44599296\"]\n  6 -> 40 [size =\"44599296\"]\n  7 [size=\"21708800\", alpha=\"0.04\", expect_size=\"10854400\"] \n  7 -> 29 [size =\"10854400\"]\n  7 -> 32 [size =\"10854400\"]\n  7 -> 33 [size =\"10854400\"]\n  7 -> 34 [size =\"10854400\"]\n  7 -> 35 [size =\"10854400\"]\n  7 -> 38 [size =\"10854400\"]\n  7 -> 39 [size =\"10854400\"]\n  7 -> 40 [size =\"10854400\"]\n  8 [size=\"70977536\", alpha=\"0.19\", expect_size=\"35488768\"] \n  8 -> 30 [size =\"35488768\"]\n  8 -> 31 [size =\"35488768\"]\n  8 -> 33 [size =\"35488768\"]\n  8 -> 34 [size =\"35488768\"]\n  8 -> 38 [size =\"35488768\"]\n  8 -> 39 [size =\"35488768\"]\n  8 -> 40 [size =\"35488768\"]\n  9 [size=\"59609088\", alpha=\"0.00\", expect_size=\"29804544\"] \n  9 -> 33 [size =\"29804544\"]\n  9 -> 38 [size =\"29804544\"]\n  10 [size=\"20662272\", alpha=\"0.11\", expect_size=\"10331136\"] \n  10 -> 29 [size =\"10331136\"]\n  10 -> 31 [size =\"10331136\"]\n  10 -> 32 [size =\"10331136\"]\n  10 -> 33 [size =\"10331136\"]\n  10 -> 36 [size =\"10331136\"]\n  10 -> 38 [size =\"10331136\"]\n  10 -> 39 [size =\"10331136\"]\n  10 -> 40 [size =\"10331136\"]\n  11 [size=\"93913088\", alpha=\"0.12\", expect_size=\"46956544\"] \n  11 -> 29 [size =\"46956544\"]\n  11 -> 38 [size =\"46956544\"]\n  11 -> 39 [size =\"46956544\"]\n  12 [size=\"29878272\", alpha=\"0.02\", expect_size=\"14939136\"] \n  12 -> 30 [size =\"14939136\"]\n  12 -> 38 [size =\"14939136\"]\n  12 -> 40 [size =\"14939136\"]\n  13 [size=\"59918336\", alpha=\"0.20\", expect_size=\"29959168\"] \n  13 -> 31 [size =\"29959168\"]\n  13 -> 35 [size =\"29959168\"]\n  13 -> 37 [size =\"29959168\"]\n  13 -> 38 [size =\"29959168\"]\n  13 -> 40 [size =\"29959168\"]\n  14 [size=\"73670656\", alpha=\"0.17\", expect_size=\"36835328\"] \n  14 -> 31 [size =\"36835328\"]\n  14 -> 33 [size =\"36835328\"]\n  14 -> 35 [size =\"36835328\"]\n  15 [size=\"80707584\", alpha=\"0.16\", expect_size=\"40353792\"] \n  15 -> 28 [size =\"40353792\"]\n  15 -> 31 [size =\"40353792\"]\n  15 -> 35 [size =\"40353792\"]\n  15 -> 38 [size =\"40353792\"]\n  15 -> 39 [size =\"40353792\"]\n  16 [size=\"35438592\", alpha=\"0.03\", expect_size=\"17719296\"] \n  16 -> 37 [size =\"17719296\"]\n  16 -> 39 [size =\"17719296\"]\n  17 [size=\"98824192\", alpha=\"0.01\", expect_size=\"49412096\"] \n  17 -> 30 [size =\"49412096\"]\n  17 -> 31 [size =\"49412096\"]\n  17 -> 34 [size =\"49412096\"]\n  17 -> 35 [size =\"49412096\"]\n  17 -> 37 [size =\"49412096\"]\n  18 [size=\"21813248\", alpha=\"0.11\", expect_size=\"10906624\"] \n  18 -> 31 [size =\"10906624\"]\n  18 -> 35 [size =\"10906624\"]\n  18 -> 37 [size =\"10906624\"]\n  18 -> 40 [size =\"10906624\"]\n  19 [size=\"16670720\", alpha=\"0.08\", expect_size=\"8335360\"] \n  19 -> 31 [size =\"8335360\"]\n  19 -> 33 [size =\"8335360\"]\n  19 -> 34 [size =\"8335360\"]\n  19 -> 35 [size =\"8335360\"]\n  19 -> 36 [size =\"8335360\"]\n  19 -> 39 [size =\"8335360\"]\n  19 -> 40 [size =\"8335360\"]\n  20 [size=\"16721920\", alpha=\"0.19\", expect_size=\"8360960\"] \n  20 -> 29 [size =\"8360960\"]\n  20 -> 31 [size =\"8360960\"]\n  20 -> 36 [size =\"8360960\"]\n  20 -> 38 [size =\"8360960\"]\n  20 -> 40 [size =\"8360960\"]\n  21 [size=\"69298176\", alpha=\"0.12\", expect_size=\"34649088\"] \n  21 -> 29 [size =\"34649088\"]\n  21 -> 33 [size =\"34649088\"]\n  21 -> 35 [size =\"34649088\"]\n  21 -> 36 [size =\"34649088\"]\n  21 -> 37 [size =\"34649088\"]\n  22 [size=\"29558784\", alpha=\"0.08\", expect_size=\"14779392\"] \n  22 -> 35 [size =\"14779392\"]\n  22 -> 36 [size =\"14779392\"]\n  22 -> 37 [size =\"14779392\"]\n  22 -> 39 [size =\"14779392\"]\n  23 [size=\"39249920\", alpha=\"0.14\", expect_size=\"19624960\"] \n  23 -> 31 [size =\"19624960\"]\n  23 -> 35 [size =\"19624960\"]\n  23 -> 36 [size =\"19624960\"]\n  23 -> 37 [size =\"19624960\"]\n  23 -> 40 [size =\"19624960\"]\n  24 [size=\"37877760\", alpha=\"0.03\", expect_size=\"18938880\"] \n  24 -> 29 [size =\"18938880\"]\n  24 -> 35 [size =\"18938880\"]\n  24 -> 36 [size =\"18938880\"]\n  24 -> 37 [size =\"18938880\"]\n  24 -> 38 [size =\"18938880\"]\n  24 -> 40 [size =\"18938880\"]\n  25 [size=\"22145024\", alpha=\"0.00\", expect_size=\"11072512\"] \n  25 -> 31 [size =\"11072512\"]\n  25 -> 35 [size =\"11072512\"]\n  25 -> 36 [size =\"11072512\"]\n  25 -> 37 [size =\"11072512\"]\n  25 -> 39 [size =\"11072512\"]\n  25 -> 40 [size =\"11072512\"]\n  26 [size=\"98052096\", alpha=\"0.15\", expect_size=\"49026048\"] \n  26 -> 29 [size =\"49026048\"]\n  26 -> 31 [size =\"49026048\"]\n  26 -> 35 [size =\"49026048\"]\n  26 -> 36 [size =\"49026048\"]\n  26 -> 37 [size =\"49026048\"]\n  26 -> 39 [size =\"49026048\"]\n  26 -> 40 [size =\"49026048\"]\n  27 [size=\"15976448\", alpha=\"0.11\", expect_size=\"7988224\"] \n  27 -> 29 [size =\"7988224\"]\n  27 -> 30 [size =\"7988224\"]\n  27 -> 31 [size =\"7988224\"]\n  27 -> 35 [size =\"7988224\"]\n  27 -> 36 [size =\"7988224\"]\n  27 -> 37 [size =\"7988224\"]\n  27 -> 39 [size =\"7988224\"]\n  27 -> 40 [size =\"7988224\"]\n  28 [size=\"21438464\", alpha=\"0.01\", expect_size=\"10719232\"] \n  29 [size=\"73771008\", alpha=\"0.01\", expect_size=\"36885504\"] \n  30 [size=\"17653760\", alpha=\"0.03\", expect_size=\"8826880\"] \n  31 [size=\"14043136\", alpha=\"0.03\", expect_size=\"7021568\"] \n  32 [size=\"71849984\", alpha=\"0.07\", expect_size=\"35924992\"] \n  33 [size=\"16146432\", alpha=\"0.01\", expect_size=\"8073216\"] \n  34 [size=\"81061888\", alpha=\"0.09\", expect_size=\"40530944\"] \n  35 [size=\"93431808\", alpha=\"0.11\", expect_size=\"46715904\"] \n  36 [size=\"94728192\", alpha=\"0.19\", expect_size=\"47364096\"] \n  37 [size=\"69294080\", alpha=\"0.06\", expect_size=\"34647040\"] \n  38 [size=\"28354560\", alpha=\"0.15\", expect_size=\"14177280\"] \n  39 [size=\"32399360\", alpha=\"0.05\", expect_size=\"16199680\"] \n  40 [size=\"36182016\", alpha=\"0.17\", expect_size=\"18091008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35240960\", alpha=\"0.05\", expect_size=\"14096384\"] \n  1 -> 20 [size =\"14096384\"]\n  1 -> 21 [size =\"14096384\"]\n  2 [size=\"61050880\", alpha=\"0.01\", expect_size=\"24420352\"] \n  2 -> 14 [size =\"24420352\"]\n  2 -> 21 [size =\"24420352\"]\n  3 [size=\"32309760\", alpha=\"0.03\", expect_size=\"12923904\"] \n  3 -> 14 [size =\"12923904\"]\n  3 -> 20 [size =\"12923904\"]\n  3 -> 21 [size =\"12923904\"]\n  4 [size=\"33914880\", alpha=\"0.18\", expect_size=\"13565952\"] \n  4 -> 16 [size =\"13565952\"]\n  4 -> 21 [size =\"13565952\"]\n  5 [size=\"58181120\", alpha=\"0.04\", expect_size=\"23272448\"] \n  5 -> 16 [size =\"23272448\"]\n  5 -> 19 [size =\"23272448\"]\n  5 -> 22 [size =\"23272448\"]\n  6 [size=\"130408960\", alpha=\"0.01\", expect_size=\"52163584\"] \n  6 -> 15 [size =\"52163584\"]\n  6 -> 19 [size =\"52163584\"]\n  6 -> 20 [size =\"52163584\"]\n  6 -> 21 [size =\"52163584\"]\n  6 -> 22 [size =\"52163584\"]\n  7 [size=\"23639040\", alpha=\"0.09\", expect_size=\"9455616\"] \n  7 -> 12 [size =\"9455616\"]\n  7 -> 14 [size =\"9455616\"]\n  7 -> 17 [size =\"9455616\"]\n  7 -> 18 [size =\"9455616\"]\n  8 [size=\"119828480\", alpha=\"0.15\", expect_size=\"47931392\"] \n  8 -> 18 [size =\"47931392\"]\n  8 -> 23 [size =\"47931392\"]\n  9 [size=\"35200000\", alpha=\"0.06\", expect_size=\"14080000\"] \n  9 -> 14 [size =\"14080000\"]\n  9 -> 16 [size =\"14080000\"]\n  9 -> 19 [size =\"14080000\"]\n  9 -> 23 [size =\"14080000\"]\n  10 [size=\"67601920\", alpha=\"0.10\", expect_size=\"27040768\"] \n  10 -> 13 [size =\"27040768\"]\n  10 -> 20 [size =\"27040768\"]\n  10 -> 23 [size =\"27040768\"]\n  10 -> 24 [size =\"27040768\"]\n  11 [size=\"27921920\", alpha=\"0.12\", expect_size=\"11168768\"] \n  11 -> 14 [size =\"11168768\"]\n  11 -> 19 [size =\"11168768\"]\n  11 -> 20 [size =\"11168768\"]\n  12 [size=\"57154560\", alpha=\"0.13\", expect_size=\"22861824\"] \n  12 -> 28 [size =\"22861824\"]\n  12 -> 34 [size =\"22861824\"]\n  13 [size=\"63564800\", alpha=\"0.13\", expect_size=\"25425920\"] \n  13 -> 26 [size =\"25425920\"]\n  13 -> 30 [size =\"25425920\"]\n  13 -> 31 [size =\"25425920\"]\n  13 -> 33 [size =\"25425920\"]\n  14 [size=\"81620480\", alpha=\"0.01\", expect_size=\"32648192\"] \n  14 -> 26 [size =\"32648192\"]\n  14 -> 30 [size =\"32648192\"]\n  14 -> 31 [size =\"32648192\"]\n  15 [size=\"69012480\", alpha=\"0.19\", expect_size=\"27604992\"] \n  15 -> 26 [size =\"27604992\"]\n  15 -> 30 [size =\"27604992\"]\n  16 [size=\"94440960\", alpha=\"0.04\", expect_size=\"37776384\"] \n  16 -> 25 [size =\"37776384\"]\n  16 -> 26 [size =\"37776384\"]\n  16 -> 28 [size =\"37776384\"]\n  16 -> 29 [size =\"37776384\"]\n  16 -> 30 [size =\"37776384\"]\n  17 [size=\"99077120\", alpha=\"0.11\", expect_size=\"39630848\"] \n  17 -> 27 [size =\"39630848\"]\n  17 -> 29 [size =\"39630848\"]\n  17 -> 33 [size =\"39630848\"]\n  18 [size=\"35274240\", alpha=\"0.20\", expect_size=\"14109696\"] \n  18 -> 27 [size =\"14109696\"]\n  18 -> 29 [size =\"14109696\"]\n  18 -> 32 [size =\"14109696\"]\n  19 [size=\"123138560\", alpha=\"0.04\", expect_size=\"49255424\"] \n  19 -> 25 [size =\"49255424\"]\n  19 -> 29 [size =\"49255424\"]\n  20 [size=\"39490560\", alpha=\"0.01\", expect_size=\"15796224\"] \n  20 -> 25 [size =\"15796224\"]\n  20 -> 28 [size =\"15796224\"]\n  20 -> 33 [size =\"15796224\"]\n  20 -> 34 [size =\"15796224\"]\n  21 [size=\"97251840\", alpha=\"0.01\", expect_size=\"38900736\"] \n  21 -> 25 [size =\"38900736\"]\n  21 -> 26 [size =\"38900736\"]\n  21 -> 28 [size =\"38900736\"]\n  21 -> 29 [size =\"38900736\"]\n  21 -> 31 [size =\"38900736\"]\n  22 [size=\"47257600\", alpha=\"0.10\", expect_size=\"18903040\"] \n  22 -> 25 [size =\"18903040\"]\n  22 -> 26 [size =\"18903040\"]\n  22 -> 30 [size =\"18903040\"]\n  22 -> 31 [size =\"18903040\"]\n  23 [size=\"125824000\", alpha=\"0.01\", expect_size=\"50329600\"] \n  23 -> 26 [size =\"50329600\"]\n  23 -> 28 [size =\"50329600\"]\n  23 -> 32 [size =\"50329600\"]\n  23 -> 33 [size =\"50329600\"]\n  24 [size=\"84787200\", alpha=\"0.16\", expect_size=\"33914880\"] \n  24 -> 28 [size =\"33914880\"]\n  24 -> 29 [size =\"33914880\"]\n  25 [size=\"93178880\", alpha=\"0.19\", expect_size=\"37271552\"] \n  25 -> 35 [size =\"37271552\"]\n  26 [size=\"84815360\", alpha=\"0.02\", expect_size=\"33926144\"] \n  26 -> 35 [size =\"33926144\"]\n  27 [size=\"106864640\", alpha=\"0.06\", expect_size=\"42745856\"] \n  27 -> 35 [size =\"42745856\"]\n  27 -> 37 [size =\"42745856\"]\n  28 [size=\"55311360\", alpha=\"0.09\", expect_size=\"22124544\"] \n  28 -> 36 [size =\"22124544\"]\n  28 -> 37 [size =\"22124544\"]\n  28 -> 40 [size =\"22124544\"]\n  29 [size=\"54645760\", alpha=\"0.15\", expect_size=\"21858304\"] \n  29 -> 36 [size =\"21858304\"]\n  29 -> 40 [size =\"21858304\"]\n  29 -> 40 [size =\"21858304\"]\n  30 [size=\"80540160\", alpha=\"0.11\", expect_size=\"32216064\"] \n  30 -> 36 [size =\"32216064\"]\n  31 [size=\"85875200\", alpha=\"0.09\", expect_size=\"34350080\"] \n  31 -> 37 [size =\"34350080\"]\n  32 [size=\"92787200\", alpha=\"0.15\", expect_size=\"37114880\"] \n  32 -> 35 [size =\"37114880\"]\n  32 -> 38 [size =\"37114880\"]\n  33 [size=\"31252480\", alpha=\"0.09\", expect_size=\"12500992\"] \n  33 -> 36 [size =\"12500992\"]\n  33 -> 38 [size =\"12500992\"]\n  33 -> 39 [size =\"12500992\"]\n  34 [size=\"38443520\", alpha=\"0.14\", expect_size=\"15377408\"] \n  34 -> 35 [size =\"15377408\"]\n  35 [size=\"17203200\", alpha=\"0.10\", expect_size=\"6881280\"] \n  36 [size=\"130572800\", alpha=\"0.19\", expect_size=\"52229120\"] \n  37 [size=\"23992320\", alpha=\"0.02\", expect_size=\"9596928\"] \n  38 [size=\"61890560\", alpha=\"0.09\", expect_size=\"24756224\"] \n  39 [size=\"115059200\", alpha=\"0.15\", expect_size=\"46023680\"] \n  40 [size=\"87631360\", alpha=\"0.06\", expect_size=\"35052544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38975488\", alpha=\"0.01\", expect_size=\"19487744\"] \n  1 -> 27 [size =\"19487744\"]\n  1 -> 32 [size =\"19487744\"]\n  1 -> 34 [size =\"19487744\"]\n  1 -> 35 [size =\"19487744\"]\n  1 -> 37 [size =\"19487744\"]\n  1 -> 39 [size =\"19487744\"]\n  2 [size=\"60106752\", alpha=\"0.20\", expect_size=\"30053376\"] \n  2 -> 29 [size =\"30053376\"]\n  3 [size=\"76367872\", alpha=\"0.14\", expect_size=\"38183936\"] \n  3 -> 29 [size =\"38183936\"]\n  3 -> 30 [size =\"38183936\"]\n  3 -> 33 [size =\"38183936\"]\n  3 -> 34 [size =\"38183936\"]\n  3 -> 35 [size =\"38183936\"]\n  3 -> 38 [size =\"38183936\"]\n  3 -> 39 [size =\"38183936\"]\n  4 [size=\"39448576\", alpha=\"0.06\", expect_size=\"19724288\"] \n  4 -> 27 [size =\"19724288\"]\n  4 -> 29 [size =\"19724288\"]\n  4 -> 34 [size =\"19724288\"]\n  5 [size=\"48132096\", alpha=\"0.05\", expect_size=\"24066048\"] \n  5 -> 30 [size =\"24066048\"]\n  5 -> 33 [size =\"24066048\"]\n  5 -> 34 [size =\"24066048\"]\n  5 -> 35 [size =\"24066048\"]\n  6 [size=\"46616576\", alpha=\"0.06\", expect_size=\"23308288\"] \n  6 -> 29 [size =\"23308288\"]\n  6 -> 31 [size =\"23308288\"]\n  6 -> 34 [size =\"23308288\"]\n  7 [size=\"95281152\", alpha=\"0.10\", expect_size=\"47640576\"] \n  7 -> 29 [size =\"47640576\"]\n  7 -> 36 [size =\"47640576\"]\n  8 [size=\"68419584\", alpha=\"0.07\", expect_size=\"34209792\"] \n  8 -> 29 [size =\"34209792\"]\n  8 -> 33 [size =\"34209792\"]\n  8 -> 34 [size =\"34209792\"]\n  9 [size=\"43147264\", alpha=\"0.07\", expect_size=\"21573632\"] \n  9 -> 29 [size =\"21573632\"]\n  9 -> 33 [size =\"21573632\"]\n  9 -> 34 [size =\"21573632\"]\n  10 [size=\"43282432\", alpha=\"0.17\", expect_size=\"21641216\"] \n  10 -> 29 [size =\"21641216\"]\n  10 -> 33 [size =\"21641216\"]\n  10 -> 34 [size =\"21641216\"]\n  10 -> 38 [size =\"21641216\"]\n  11 [size=\"36311040\", alpha=\"0.03\", expect_size=\"18155520\"] \n  11 -> 29 [size =\"18155520\"]\n  11 -> 30 [size =\"18155520\"]\n  11 -> 33 [size =\"18155520\"]\n  11 -> 40 [size =\"18155520\"]\n  12 [size=\"41502720\", alpha=\"0.03\", expect_size=\"20751360\"] \n  12 -> 29 [size =\"20751360\"]\n  12 -> 30 [size =\"20751360\"]\n  12 -> 31 [size =\"20751360\"]\n  12 -> 32 [size =\"20751360\"]\n  12 -> 35 [size =\"20751360\"]\n  12 -> 36 [size =\"20751360\"]\n  13 [size=\"41091072\", alpha=\"0.17\", expect_size=\"20545536\"] \n  13 -> 28 [size =\"20545536\"]\n  13 -> 32 [size =\"20545536\"]\n  13 -> 34 [size =\"20545536\"]\n  13 -> 35 [size =\"20545536\"]\n  14 [size=\"10954752\", alpha=\"0.06\", expect_size=\"5477376\"] \n  14 -> 32 [size =\"5477376\"]\n  14 -> 36 [size =\"5477376\"]\n  14 -> 38 [size =\"5477376\"]\n  14 -> 40 [size =\"5477376\"]\n  15 [size=\"37244928\", alpha=\"0.12\", expect_size=\"18622464\"] \n  15 -> 31 [size =\"18622464\"]\n  15 -> 33 [size =\"18622464\"]\n  15 -> 34 [size =\"18622464\"]\n  16 [size=\"60231680\", alpha=\"0.14\", expect_size=\"30115840\"] \n  16 -> 29 [size =\"30115840\"]\n  16 -> 35 [size =\"30115840\"]\n  17 [size=\"90034176\", alpha=\"0.07\", expect_size=\"45017088\"] \n  17 -> 27 [size =\"45017088\"]\n  18 [size=\"42088448\", alpha=\"0.15\", expect_size=\"21044224\"] \n  18 -> 29 [size =\"21044224\"]\n  18 -> 30 [size =\"21044224\"]\n  18 -> 35 [size =\"21044224\"]\n  18 -> 38 [size =\"21044224\"]\n  19 [size=\"76009472\", alpha=\"0.08\", expect_size=\"38004736\"] \n  19 -> 30 [size =\"38004736\"]\n  19 -> 34 [size =\"38004736\"]\n  19 -> 39 [size =\"38004736\"]\n  20 [size=\"16297984\", alpha=\"0.18\", expect_size=\"8148992\"] \n  20 -> 31 [size =\"8148992\"]\n  20 -> 33 [size =\"8148992\"]\n  20 -> 34 [size =\"8148992\"]\n  20 -> 36 [size =\"8148992\"]\n  20 -> 39 [size =\"8148992\"]\n  21 [size=\"97185792\", alpha=\"0.14\", expect_size=\"48592896\"] \n  21 -> 32 [size =\"48592896\"]\n  21 -> 34 [size =\"48592896\"]\n  21 -> 38 [size =\"48592896\"]\n  22 [size=\"17813504\", alpha=\"0.01\", expect_size=\"8906752\"] \n  22 -> 32 [size =\"8906752\"]\n  22 -> 33 [size =\"8906752\"]\n  22 -> 34 [size =\"8906752\"]\n  22 -> 36 [size =\"8906752\"]\n  22 -> 38 [size =\"8906752\"]\n  23 [size=\"29728768\", alpha=\"0.02\", expect_size=\"14864384\"] \n  23 -> 33 [size =\"14864384\"]\n  23 -> 39 [size =\"14864384\"]\n  24 [size=\"15269888\", alpha=\"0.09\", expect_size=\"7634944\"] \n  24 -> 31 [size =\"7634944\"]\n  24 -> 32 [size =\"7634944\"]\n  24 -> 38 [size =\"7634944\"]\n  25 [size=\"43448320\", alpha=\"0.03\", expect_size=\"21724160\"] \n  25 -> 32 [size =\"21724160\"]\n  25 -> 33 [size =\"21724160\"]\n  25 -> 39 [size =\"21724160\"]\n  26 [size=\"100663296\", alpha=\"0.06\", expect_size=\"50331648\"] \n  26 -> 29 [size =\"50331648\"]\n  26 -> 31 [size =\"50331648\"]\n  26 -> 33 [size =\"50331648\"]\n  26 -> 35 [size =\"50331648\"]\n  26 -> 38 [size =\"50331648\"]\n  27 [size=\"72593408\", alpha=\"0.06\", expect_size=\"36296704\"] \n  28 [size=\"10641408\", alpha=\"0.19\", expect_size=\"5320704\"] \n  29 [size=\"81774592\", alpha=\"0.19\", expect_size=\"40887296\"] \n  30 [size=\"23259136\", alpha=\"0.05\", expect_size=\"11629568\"] \n  31 [size=\"13012992\", alpha=\"0.18\", expect_size=\"6506496\"] \n  32 [size=\"79529984\", alpha=\"0.16\", expect_size=\"39764992\"] \n  33 [size=\"83685376\", alpha=\"0.01\", expect_size=\"41842688\"] \n  34 [size=\"91365376\", alpha=\"0.07\", expect_size=\"45682688\"] \n  35 [size=\"37158912\", alpha=\"0.18\", expect_size=\"18579456\"] \n  36 [size=\"53086208\", alpha=\"0.19\", expect_size=\"26543104\"] \n  37 [size=\"80906240\", alpha=\"0.18\", expect_size=\"40453120\"] \n  38 [size=\"16672768\", alpha=\"0.03\", expect_size=\"8336384\"] \n  39 [size=\"12693504\", alpha=\"0.02\", expect_size=\"6346752\"] \n  40 [size=\"101627904\", alpha=\"0.02\", expect_size=\"50813952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81937067\", alpha=\"0.09\", expect_size=\"24581120\"] \n  1 -> 24 [size =\"24581120\"]\n  1 -> 28 [size =\"24581120\"]\n  1 -> 34 [size =\"24581120\"]\n  1 -> 36 [size =\"24581120\"]\n  1 -> 37 [size =\"24581120\"]\n  1 -> 38 [size =\"24581120\"]\n  2 [size=\"170151253\", alpha=\"0.12\", expect_size=\"51045376\"] \n  2 -> 24 [size =\"51045376\"]\n  2 -> 27 [size =\"51045376\"]\n  2 -> 28 [size =\"51045376\"]\n  2 -> 32 [size =\"51045376\"]\n  2 -> 35 [size =\"51045376\"]\n  2 -> 37 [size =\"51045376\"]\n  2 -> 38 [size =\"51045376\"]\n  2 -> 40 [size =\"51045376\"]\n  3 [size=\"145349973\", alpha=\"0.04\", expect_size=\"43604992\"] \n  3 -> 25 [size =\"43604992\"]\n  3 -> 28 [size =\"43604992\"]\n  3 -> 28 [size =\"43604992\"]\n  3 -> 30 [size =\"43604992\"]\n  3 -> 32 [size =\"43604992\"]\n  3 -> 33 [size =\"43604992\"]\n  3 -> 37 [size =\"43604992\"]\n  3 -> 38 [size =\"43604992\"]\n  3 -> 40 [size =\"43604992\"]\n  4 [size=\"117422080\", alpha=\"0.18\", expect_size=\"35226624\"] \n  4 -> 23 [size =\"35226624\"]\n  4 -> 25 [size =\"35226624\"]\n  4 -> 28 [size =\"35226624\"]\n  4 -> 36 [size =\"35226624\"]\n  4 -> 38 [size =\"35226624\"]\n  4 -> 39 [size =\"35226624\"]\n  4 -> 40 [size =\"35226624\"]\n  5 [size=\"78486187\", alpha=\"0.02\", expect_size=\"23545856\"] \n  5 -> 28 [size =\"23545856\"]\n  5 -> 30 [size =\"23545856\"]\n  5 -> 35 [size =\"23545856\"]\n  5 -> 36 [size =\"23545856\"]\n  5 -> 37 [size =\"23545856\"]\n  5 -> 38 [size =\"23545856\"]\n  5 -> 39 [size =\"23545856\"]\n  5 -> 40 [size =\"23545856\"]\n  6 [size=\"161921707\", alpha=\"0.13\", expect_size=\"48576512\"] \n  6 -> 24 [size =\"48576512\"]\n  6 -> 28 [size =\"48576512\"]\n  6 -> 30 [size =\"48576512\"]\n  6 -> 31 [size =\"48576512\"]\n  6 -> 33 [size =\"48576512\"]\n  6 -> 34 [size =\"48576512\"]\n  6 -> 35 [size =\"48576512\"]\n  6 -> 36 [size =\"48576512\"]\n  6 -> 38 [size =\"48576512\"]\n  7 [size=\"104246613\", alpha=\"0.08\", expect_size=\"31273984\"] \n  7 -> 24 [size =\"31273984\"]\n  7 -> 25 [size =\"31273984\"]\n  7 -> 28 [size =\"31273984\"]\n  7 -> 32 [size =\"31273984\"]\n  7 -> 34 [size =\"31273984\"]\n  7 -> 34 [size =\"31273984\"]\n  7 -> 35 [size =\"31273984\"]\n  7 -> 36 [size =\"31273984\"]\n  7 -> 38 [size =\"31273984\"]\n  8 [size=\"153733120\", alpha=\"0.07\", expect_size=\"46119936\"] \n  8 -> 24 [size =\"46119936\"]\n  8 -> 28 [size =\"46119936\"]\n  8 -> 29 [size =\"46119936\"]\n  8 -> 32 [size =\"46119936\"]\n  8 -> 34 [size =\"46119936\"]\n  8 -> 35 [size =\"46119936\"]\n  8 -> 36 [size =\"46119936\"]\n  8 -> 38 [size =\"46119936\"]\n  9 [size=\"61173760\", alpha=\"0.11\", expect_size=\"18352128\"] \n  9 -> 27 [size =\"18352128\"]\n  9 -> 30 [size =\"18352128\"]\n  9 -> 32 [size =\"18352128\"]\n  9 -> 32 [size =\"18352128\"]\n  9 -> 35 [size =\"18352128\"]\n  9 -> 36 [size =\"18352128\"]\n  9 -> 37 [size =\"18352128\"]\n  9 -> 40 [size =\"18352128\"]\n  10 [size=\"94518613\", alpha=\"0.15\", expect_size=\"28355584\"] \n  10 -> 24 [size =\"28355584\"]\n  10 -> 28 [size =\"28355584\"]\n  10 -> 32 [size =\"28355584\"]\n  10 -> 33 [size =\"28355584\"]\n  10 -> 36 [size =\"28355584\"]\n  10 -> 37 [size =\"28355584\"]\n  10 -> 40 [size =\"28355584\"]\n  11 [size=\"56005973\", alpha=\"0.14\", expect_size=\"16801792\"] \n  11 -> 25 [size =\"16801792\"]\n  11 -> 26 [size =\"16801792\"]\n  11 -> 28 [size =\"16801792\"]\n  11 -> 31 [size =\"16801792\"]\n  11 -> 36 [size =\"16801792\"]\n  11 -> 37 [size =\"16801792\"]\n  11 -> 39 [size =\"16801792\"]\n  11 -> 40 [size =\"16801792\"]\n  12 [size=\"123077973\", alpha=\"0.08\", expect_size=\"36923392\"] \n  12 -> 25 [size =\"36923392\"]\n  12 -> 29 [size =\"36923392\"]\n  12 -> 31 [size =\"36923392\"]\n  12 -> 32 [size =\"36923392\"]\n  12 -> 35 [size =\"36923392\"]\n  12 -> 36 [size =\"36923392\"]\n  12 -> 39 [size =\"36923392\"]\n  12 -> 40 [size =\"36923392\"]\n  13 [size=\"58538667\", alpha=\"0.16\", expect_size=\"17561600\"] \n  13 -> 31 [size =\"17561600\"]\n  13 -> 32 [size =\"17561600\"]\n  13 -> 33 [size =\"17561600\"]\n  13 -> 34 [size =\"17561600\"]\n  13 -> 40 [size =\"17561600\"]\n  14 [size=\"90668373\", alpha=\"0.11\", expect_size=\"27200512\"] \n  14 -> 24 [size =\"27200512\"]\n  14 -> 25 [size =\"27200512\"]\n  14 -> 32 [size =\"27200512\"]\n  14 -> 33 [size =\"27200512\"]\n  14 -> 35 [size =\"27200512\"]\n  14 -> 36 [size =\"27200512\"]\n  14 -> 38 [size =\"27200512\"]\n  14 -> 40 [size =\"27200512\"]\n  15 [size=\"72994133\", alpha=\"0.16\", expect_size=\"21898240\"] \n  15 -> 24 [size =\"21898240\"]\n  15 -> 30 [size =\"21898240\"]\n  15 -> 31 [size =\"21898240\"]\n  15 -> 33 [size =\"21898240\"]\n  15 -> 34 [size =\"21898240\"]\n  15 -> 35 [size =\"21898240\"]\n  15 -> 36 [size =\"21898240\"]\n  16 [size=\"90804907\", alpha=\"0.06\", expect_size=\"27241472\"] \n  16 -> 23 [size =\"27241472\"]\n  16 -> 24 [size =\"27241472\"]\n  16 -> 27 [size =\"27241472\"]\n  16 -> 28 [size =\"27241472\"]\n  16 -> 29 [size =\"27241472\"]\n  16 -> 30 [size =\"27241472\"]\n  16 -> 32 [size =\"27241472\"]\n  16 -> 35 [size =\"27241472\"]\n  16 -> 38 [size =\"27241472\"]\n  17 [size=\"35297280\", alpha=\"0.11\", expect_size=\"10589184\"] \n  17 -> 23 [size =\"10589184\"]\n  17 -> 24 [size =\"10589184\"]\n  17 -> 28 [size =\"10589184\"]\n  17 -> 30 [size =\"10589184\"]\n  17 -> 33 [size =\"10589184\"]\n  17 -> 34 [size =\"10589184\"]\n  17 -> 36 [size =\"10589184\"]\n  17 -> 40 [size =\"10589184\"]\n  18 [size=\"99235840\", alpha=\"0.08\", expect_size=\"29770752\"] \n  18 -> 23 [size =\"29770752\"]\n  18 -> 24 [size =\"29770752\"]\n  18 -> 25 [size =\"29770752\"]\n  18 -> 27 [size =\"29770752\"]\n  18 -> 28 [size =\"29770752\"]\n  18 -> 29 [size =\"29770752\"]\n  18 -> 32 [size =\"29770752\"]\n  18 -> 34 [size =\"29770752\"]\n  18 -> 35 [size =\"29770752\"]\n  18 -> 38 [size =\"29770752\"]\n  18 -> 40 [size =\"29770752\"]\n  19 [size=\"150910293\", alpha=\"0.09\", expect_size=\"45273088\"] \n  19 -> 23 [size =\"45273088\"]\n  19 -> 24 [size =\"45273088\"]\n  19 -> 28 [size =\"45273088\"]\n  19 -> 32 [size =\"45273088\"]\n  19 -> 36 [size =\"45273088\"]\n  19 -> 37 [size =\"45273088\"]\n  19 -> 38 [size =\"45273088\"]\n  19 -> 39 [size =\"45273088\"]\n  20 [size=\"82435413\", alpha=\"0.14\", expect_size=\"24730624\"] \n  20 -> 23 [size =\"24730624\"]\n  20 -> 24 [size =\"24730624\"]\n  20 -> 25 [size =\"24730624\"]\n  20 -> 31 [size =\"24730624\"]\n  20 -> 33 [size =\"24730624\"]\n  20 -> 36 [size =\"24730624\"]\n  21 [size=\"46779733\", alpha=\"0.07\", expect_size=\"14033920\"] \n  21 -> 23 [size =\"14033920\"]\n  21 -> 24 [size =\"14033920\"]\n  21 -> 25 [size =\"14033920\"]\n  21 -> 28 [size =\"14033920\"]\n  21 -> 32 [size =\"14033920\"]\n  21 -> 34 [size =\"14033920\"]\n  21 -> 35 [size =\"14033920\"]\n  21 -> 36 [size =\"14033920\"]\n  21 -> 40 [size =\"14033920\"]\n  22 [size=\"159679147\", alpha=\"0.00\", expect_size=\"47903744\"] \n  22 -> 23 [size =\"47903744\"]\n  22 -> 28 [size =\"47903744\"]\n  22 -> 34 [size =\"47903744\"]\n  22 -> 36 [size =\"47903744\"]\n  22 -> 40 [size =\"47903744\"]\n  23 [size=\"66887680\", alpha=\"0.09\", expect_size=\"20066304\"] \n  24 [size=\"35959467\", alpha=\"0.11\", expect_size=\"10787840\"] \n  25 [size=\"124337493\", alpha=\"0.00\", expect_size=\"37301248\"] \n  26 [size=\"91900587\", alpha=\"0.08\", expect_size=\"27570176\"] \n  27 [size=\"136342187\", alpha=\"0.07\", expect_size=\"40902656\"] \n  28 [size=\"63873707\", alpha=\"0.03\", expect_size=\"19162112\"] \n  29 [size=\"129546240\", alpha=\"0.05\", expect_size=\"38863872\"] \n  30 [size=\"42318507\", alpha=\"0.16\", expect_size=\"12695552\"] \n  31 [size=\"152715947\", alpha=\"0.13\", expect_size=\"45814784\"] \n  32 [size=\"53340160\", alpha=\"0.03\", expect_size=\"16002048\"] \n  33 [size=\"54152533\", alpha=\"0.18\", expect_size=\"16245760\"] \n  34 [size=\"125740373\", alpha=\"0.02\", expect_size=\"37722112\"] \n  35 [size=\"53483520\", alpha=\"0.14\", expect_size=\"16045056\"] \n  36 [size=\"55678293\", alpha=\"0.15\", expect_size=\"16703488\"] \n  37 [size=\"119483733\", alpha=\"0.18\", expect_size=\"35845120\"] \n  38 [size=\"174390613\", alpha=\"0.11\", expect_size=\"52317184\"] \n  39 [size=\"42079573\", alpha=\"0.01\", expect_size=\"12623872\"] \n  40 [size=\"80824320\", alpha=\"0.00\", expect_size=\"24247296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75012096\", alpha=\"0.15\", expect_size=\"37506048\"] \n  1 -> 2 [size =\"37506048\"]\n  2 [size=\"79892480\", alpha=\"0.12\", expect_size=\"39946240\"] \n  2 -> 3 [size =\"39946240\"]\n  3 [size=\"93110272\", alpha=\"0.11\", expect_size=\"46555136\"] \n  3 -> 4 [size =\"46555136\"]\n  4 [size=\"80105472\", alpha=\"0.14\", expect_size=\"40052736\"] \n  4 -> 5 [size =\"40052736\"]\n  5 [size=\"18751488\", alpha=\"0.06\", expect_size=\"9375744\"] \n  5 -> 6 [size =\"9375744\"]\n  6 [size=\"96069632\", alpha=\"0.10\", expect_size=\"48034816\"] \n  6 -> 7 [size =\"48034816\"]\n  7 [size=\"86376448\", alpha=\"0.11\", expect_size=\"43188224\"] \n  7 -> 8 [size =\"43188224\"]\n  8 [size=\"35676160\", alpha=\"0.15\", expect_size=\"17838080\"] \n  8 -> 9 [size =\"17838080\"]\n  9 [size=\"33107968\", alpha=\"0.14\", expect_size=\"16553984\"] \n  9 -> 10 [size =\"16553984\"]\n  10 [size=\"68870144\", alpha=\"0.16\", expect_size=\"34435072\"] \n  10 -> 11 [size =\"34435072\"]\n  11 [size=\"96751616\", alpha=\"0.03\", expect_size=\"48375808\"] \n  11 -> 12 [size =\"48375808\"]\n  12 [size=\"72747008\", alpha=\"0.09\", expect_size=\"36373504\"] \n  12 -> 13 [size =\"36373504\"]\n  13 [size=\"35543040\", alpha=\"0.05\", expect_size=\"17771520\"] \n  13 -> 14 [size =\"17771520\"]\n  14 [size=\"86441984\", alpha=\"0.09\", expect_size=\"43220992\"] \n  14 -> 15 [size =\"43220992\"]\n  15 [size=\"59983872\", alpha=\"0.20\", expect_size=\"29991936\"] \n  15 -> 16 [size =\"29991936\"]\n  16 [size=\"89108480\", alpha=\"0.06\", expect_size=\"44554240\"] \n  16 -> 17 [size =\"44554240\"]\n  17 [size=\"40249344\", alpha=\"0.16\", expect_size=\"20124672\"] \n  17 -> 18 [size =\"20124672\"]\n  18 [size=\"94148608\", alpha=\"0.09\", expect_size=\"47074304\"] \n  18 -> 19 [size =\"47074304\"]\n  19 [size=\"69173248\", alpha=\"0.16\", expect_size=\"34586624\"] \n  19 -> 20 [size =\"34586624\"]\n  20 [size=\"39622656\", alpha=\"0.16\", expect_size=\"19811328\"] \n  20 -> 21 [size =\"19811328\"]\n  21 [size=\"21659648\", alpha=\"0.10\", expect_size=\"10829824\"] \n  21 -> 22 [size =\"10829824\"]\n  22 [size=\"35389440\", alpha=\"0.19\", expect_size=\"17694720\"] \n  22 -> 23 [size =\"17694720\"]\n  23 [size=\"78845952\", alpha=\"0.04\", expect_size=\"39422976\"] \n  23 -> 24 [size =\"39422976\"]\n  24 [size=\"101283840\", alpha=\"0.05\", expect_size=\"50641920\"] \n  24 -> 25 [size =\"50641920\"]\n  25 [size=\"51167232\", alpha=\"0.08\", expect_size=\"25583616\"] \n  25 -> 26 [size =\"25583616\"]\n  26 [size=\"50460672\", alpha=\"0.08\", expect_size=\"25230336\"] \n  26 -> 27 [size =\"25230336\"]\n  27 [size=\"76871680\", alpha=\"0.05\", expect_size=\"38435840\"] \n  27 -> 28 [size =\"38435840\"]\n  28 [size=\"56995840\", alpha=\"0.07\", expect_size=\"28497920\"] \n  28 -> 29 [size =\"28497920\"]\n  29 [size=\"98672640\", alpha=\"0.14\", expect_size=\"49336320\"] \n  29 -> 30 [size =\"49336320\"]\n  30 [size=\"81250304\", alpha=\"0.13\", expect_size=\"40625152\"] \n  30 -> 31 [size =\"40625152\"]\n  31 [size=\"64098304\", alpha=\"0.10\", expect_size=\"32049152\"] \n  31 -> 32 [size =\"32049152\"]\n  32 [size=\"17371136\", alpha=\"0.01\", expect_size=\"8685568\"] \n  32 -> 33 [size =\"8685568\"]\n  33 [size=\"104845312\", alpha=\"0.17\", expect_size=\"52422656\"] \n  33 -> 34 [size =\"52422656\"]\n  34 [size=\"31664128\", alpha=\"0.09\", expect_size=\"15832064\"] \n  34 -> 35 [size =\"15832064\"]\n  35 [size=\"56188928\", alpha=\"0.12\", expect_size=\"28094464\"] \n  35 -> 36 [size =\"28094464\"]\n  36 [size=\"92315648\", alpha=\"0.11\", expect_size=\"46157824\"] \n  36 -> 37 [size =\"46157824\"]\n  37 [size=\"36884480\", alpha=\"0.16\", expect_size=\"18442240\"] \n  37 -> 38 [size =\"18442240\"]\n  38 [size=\"60160000\", alpha=\"0.20\", expect_size=\"30080000\"] \n  38 -> 39 [size =\"30080000\"]\n  39 [size=\"92960768\", alpha=\"0.15\", expect_size=\"46480384\"] \n  39 -> 40 [size =\"46480384\"]\n  40 [size=\"63541248\", alpha=\"0.17\", expect_size=\"31770624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31156224\", alpha=\"0.17\", expect_size=\"15578112\"] \n  1 -> 15 [size =\"15578112\"]\n  1 -> 22 [size =\"15578112\"]\n  1 -> 23 [size =\"15578112\"]\n  1 -> 24 [size =\"15578112\"]\n  1 -> 25 [size =\"15578112\"]\n  1 -> 27 [size =\"15578112\"]\n  1 -> 29 [size =\"15578112\"]\n  1 -> 30 [size =\"15578112\"]\n  2 [size=\"22689792\", alpha=\"0.01\", expect_size=\"11344896\"] \n  2 -> 15 [size =\"11344896\"]\n  2 -> 16 [size =\"11344896\"]\n  2 -> 26 [size =\"11344896\"]\n  3 [size=\"78782464\", alpha=\"0.15\", expect_size=\"39391232\"] \n  3 -> 15 [size =\"39391232\"]\n  3 -> 16 [size =\"39391232\"]\n  3 -> 18 [size =\"39391232\"]\n  3 -> 22 [size =\"39391232\"]\n  3 -> 26 [size =\"39391232\"]\n  3 -> 29 [size =\"39391232\"]\n  3 -> 32 [size =\"39391232\"]\n  4 [size=\"43880448\", alpha=\"0.17\", expect_size=\"21940224\"] \n  4 -> 15 [size =\"21940224\"]\n  4 -> 17 [size =\"21940224\"]\n  4 -> 18 [size =\"21940224\"]\n  4 -> 19 [size =\"21940224\"]\n  4 -> 22 [size =\"21940224\"]\n  4 -> 23 [size =\"21940224\"]\n  4 -> 25 [size =\"21940224\"]\n  4 -> 27 [size =\"21940224\"]\n  4 -> 30 [size =\"21940224\"]\n  4 -> 31 [size =\"21940224\"]\n  5 [size=\"16019456\", alpha=\"0.19\", expect_size=\"8009728\"] \n  5 -> 18 [size =\"8009728\"]\n  5 -> 21 [size =\"8009728\"]\n  5 -> 22 [size =\"8009728\"]\n  5 -> 23 [size =\"8009728\"]\n  5 -> 24 [size =\"8009728\"]\n  5 -> 28 [size =\"8009728\"]\n  5 -> 31 [size =\"8009728\"]\n  5 -> 32 [size =\"8009728\"]\n  6 [size=\"81053696\", alpha=\"0.06\", expect_size=\"40526848\"] \n  6 -> 15 [size =\"40526848\"]\n  6 -> 18 [size =\"40526848\"]\n  6 -> 21 [size =\"40526848\"]\n  6 -> 23 [size =\"40526848\"]\n  6 -> 27 [size =\"40526848\"]\n  6 -> 28 [size =\"40526848\"]\n  6 -> 29 [size =\"40526848\"]\n  6 -> 30 [size =\"40526848\"]\n  7 [size=\"53630976\", alpha=\"0.07\", expect_size=\"26815488\"] \n  7 -> 18 [size =\"26815488\"]\n  7 -> 22 [size =\"26815488\"]\n  7 -> 23 [size =\"26815488\"]\n  7 -> 27 [size =\"26815488\"]\n  7 -> 29 [size =\"26815488\"]\n  7 -> 30 [size =\"26815488\"]\n  7 -> 32 [size =\"26815488\"]\n  8 [size=\"83814400\", alpha=\"0.02\", expect_size=\"41907200\"] \n  8 -> 19 [size =\"41907200\"]\n  8 -> 20 [size =\"41907200\"]\n  8 -> 23 [size =\"41907200\"]\n  8 -> 30 [size =\"41907200\"]\n  9 [size=\"84697088\", alpha=\"0.14\", expect_size=\"42348544\"] \n  9 -> 15 [size =\"42348544\"]\n  9 -> 17 [size =\"42348544\"]\n  9 -> 20 [size =\"42348544\"]\n  9 -> 22 [size =\"42348544\"]\n  9 -> 23 [size =\"42348544\"]\n  9 -> 26 [size =\"42348544\"]\n  9 -> 29 [size =\"42348544\"]\n  9 -> 31 [size =\"42348544\"]\n  9 -> 32 [size =\"42348544\"]\n  10 [size=\"28633088\", alpha=\"0.12\", expect_size=\"14316544\"] \n  10 -> 17 [size =\"14316544\"]\n  10 -> 18 [size =\"14316544\"]\n  10 -> 22 [size =\"14316544\"]\n  10 -> 25 [size =\"14316544\"]\n  10 -> 28 [size =\"14316544\"]\n  10 -> 29 [size =\"14316544\"]\n  10 -> 32 [size =\"14316544\"]\n  11 [size=\"86632448\", alpha=\"0.05\", expect_size=\"43316224\"] \n  11 -> 19 [size =\"43316224\"]\n  11 -> 23 [size =\"43316224\"]\n  11 -> 26 [size =\"43316224\"]\n  11 -> 28 [size =\"43316224\"]\n  11 -> 29 [size =\"43316224\"]\n  11 -> 32 [size =\"43316224\"]\n  12 [size=\"72185856\", alpha=\"0.01\", expect_size=\"36092928\"] \n  12 -> 17 [size =\"36092928\"]\n  12 -> 20 [size =\"36092928\"]\n  12 -> 21 [size =\"36092928\"]\n  12 -> 26 [size =\"36092928\"]\n  12 -> 29 [size =\"36092928\"]\n  12 -> 32 [size =\"36092928\"]\n  13 [size=\"74686464\", alpha=\"0.15\", expect_size=\"37343232\"] \n  13 -> 15 [size =\"37343232\"]\n  13 -> 19 [size =\"37343232\"]\n  13 -> 26 [size =\"37343232\"]\n  13 -> 27 [size =\"37343232\"]\n  13 -> 28 [size =\"37343232\"]\n  13 -> 30 [size =\"37343232\"]\n  13 -> 32 [size =\"37343232\"]\n  14 [size=\"53250048\", alpha=\"0.07\", expect_size=\"26625024\"] \n  14 -> 15 [size =\"26625024\"]\n  14 -> 18 [size =\"26625024\"]\n  14 -> 25 [size =\"26625024\"]\n  14 -> 26 [size =\"26625024\"]\n  14 -> 28 [size =\"26625024\"]\n  14 -> 29 [size =\"26625024\"]\n  14 -> 30 [size =\"26625024\"]\n  14 -> 32 [size =\"26625024\"]\n  15 [size=\"38344704\", alpha=\"0.13\", expect_size=\"19172352\"] \n  15 -> 35 [size =\"19172352\"]\n  15 -> 39 [size =\"19172352\"]\n  16 [size=\"34637824\", alpha=\"0.19\", expect_size=\"17318912\"] \n  16 -> 33 [size =\"17318912\"]\n  16 -> 39 [size =\"17318912\"]\n  17 [size=\"65163264\", alpha=\"0.13\", expect_size=\"32581632\"] \n  17 -> 38 [size =\"32581632\"]\n  18 [size=\"96264192\", alpha=\"0.17\", expect_size=\"48132096\"] \n  18 -> 37 [size =\"48132096\"]\n  18 -> 38 [size =\"48132096\"]\n  19 [size=\"10520576\", alpha=\"0.06\", expect_size=\"5260288\"] \n  20 [size=\"77965312\", alpha=\"0.07\", expect_size=\"38982656\"] \n  20 -> 33 [size =\"38982656\"]\n  20 -> 35 [size =\"38982656\"]\n  20 -> 37 [size =\"38982656\"]\n  20 -> 38 [size =\"38982656\"]\n  21 [size=\"41736192\", alpha=\"0.12\", expect_size=\"20868096\"] \n  21 -> 34 [size =\"20868096\"]\n  21 -> 39 [size =\"20868096\"]\n  21 -> 40 [size =\"20868096\"]\n  22 [size=\"67356672\", alpha=\"0.20\", expect_size=\"33678336\"] \n  22 -> 37 [size =\"33678336\"]\n  22 -> 38 [size =\"33678336\"]\n  23 [size=\"70449152\", alpha=\"0.02\", expect_size=\"35224576\"] \n  23 -> 33 [size =\"35224576\"]\n  23 -> 38 [size =\"35224576\"]\n  24 [size=\"48259072\", alpha=\"0.11\", expect_size=\"24129536\"] \n  24 -> 39 [size =\"24129536\"]\n  25 [size=\"81076224\", alpha=\"0.02\", expect_size=\"40538112\"] \n  25 -> 38 [size =\"40538112\"]\n  25 -> 39 [size =\"40538112\"]\n  26 [size=\"50257920\", alpha=\"0.08\", expect_size=\"25128960\"] \n  26 -> 33 [size =\"25128960\"]\n  26 -> 38 [size =\"25128960\"]\n  26 -> 40 [size =\"25128960\"]\n  27 [size=\"45678592\", alpha=\"0.02\", expect_size=\"22839296\"] \n  27 -> 38 [size =\"22839296\"]\n  27 -> 39 [size =\"22839296\"]\n  27 -> 40 [size =\"22839296\"]\n  28 [size=\"12640256\", alpha=\"0.13\", expect_size=\"6320128\"] \n  28 -> 36 [size =\"6320128\"]\n  28 -> 38 [size =\"6320128\"]\n  28 -> 39 [size =\"6320128\"]\n  29 [size=\"95016960\", alpha=\"0.18\", expect_size=\"47508480\"] \n  29 -> 39 [size =\"47508480\"]\n  30 [size=\"27144192\", alpha=\"0.08\", expect_size=\"13572096\"] \n  30 -> 40 [size =\"13572096\"]\n  31 [size=\"57901056\", alpha=\"0.14\", expect_size=\"28950528\"] \n  31 -> 35 [size =\"28950528\"]\n  32 [size=\"19212288\", alpha=\"0.13\", expect_size=\"9606144\"] \n  32 -> 33 [size =\"9606144\"]\n  32 -> 38 [size =\"9606144\"]\n  33 [size=\"17655808\", alpha=\"0.06\", expect_size=\"8827904\"] \n  34 [size=\"27160576\", alpha=\"0.08\", expect_size=\"13580288\"] \n  35 [size=\"81121280\", alpha=\"0.15\", expect_size=\"40560640\"] \n  36 [size=\"90701824\", alpha=\"0.08\", expect_size=\"45350912\"] \n  37 [size=\"32096256\", alpha=\"0.12\", expect_size=\"16048128\"] \n  38 [size=\"42829824\", alpha=\"0.15\", expect_size=\"21414912\"] \n  39 [size=\"101853184\", alpha=\"0.17\", expect_size=\"50926592\"] \n  40 [size=\"94640128\", alpha=\"0.14\", expect_size=\"47320064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67182592\", alpha=\"0.14\", expect_size=\"33591296\"] \n  1 -> 2 [size =\"33591296\"]\n  2 [size=\"35674112\", alpha=\"0.11\", expect_size=\"17837056\"] \n  2 -> 3 [size =\"17837056\"]\n  3 [size=\"81844224\", alpha=\"0.01\", expect_size=\"40922112\"] \n  3 -> 4 [size =\"40922112\"]\n  4 [size=\"95772672\", alpha=\"0.01\", expect_size=\"47886336\"] \n  4 -> 5 [size =\"47886336\"]\n  5 [size=\"56270848\", alpha=\"0.02\", expect_size=\"28135424\"] \n  5 -> 6 [size =\"28135424\"]\n  6 [size=\"80310272\", alpha=\"0.03\", expect_size=\"40155136\"] \n  6 -> 7 [size =\"40155136\"]\n  7 [size=\"51912704\", alpha=\"0.10\", expect_size=\"25956352\"] \n  7 -> 8 [size =\"25956352\"]\n  8 [size=\"94357504\", alpha=\"0.02\", expect_size=\"47178752\"] \n  8 -> 9 [size =\"47178752\"]\n  9 [size=\"63582208\", alpha=\"0.04\", expect_size=\"31791104\"] \n  9 -> 10 [size =\"31791104\"]\n  10 [size=\"60512256\", alpha=\"0.14\", expect_size=\"30256128\"] \n  10 -> 11 [size =\"30256128\"]\n  11 [size=\"23787520\", alpha=\"0.09\", expect_size=\"11893760\"] \n  11 -> 12 [size =\"11893760\"]\n  12 [size=\"91215872\", alpha=\"0.08\", expect_size=\"45607936\"] \n  12 -> 13 [size =\"45607936\"]\n  13 [size=\"48564224\", alpha=\"0.10\", expect_size=\"24282112\"] \n  13 -> 14 [size =\"24282112\"]\n  14 [size=\"53016576\", alpha=\"0.05\", expect_size=\"26508288\"] \n  14 -> 15 [size =\"26508288\"]\n  15 [size=\"55576576\", alpha=\"0.03\", expect_size=\"27788288\"] \n  15 -> 16 [size =\"27788288\"]\n  16 [size=\"66240512\", alpha=\"0.14\", expect_size=\"33120256\"] \n  16 -> 17 [size =\"33120256\"]\n  17 [size=\"79536128\", alpha=\"0.18\", expect_size=\"39768064\"] \n  17 -> 18 [size =\"39768064\"]\n  18 [size=\"32688128\", alpha=\"0.01\", expect_size=\"16344064\"] \n  18 -> 19 [size =\"16344064\"]\n  19 [size=\"41938944\", alpha=\"0.11\", expect_size=\"20969472\"] \n  19 -> 20 [size =\"20969472\"]\n  20 [size=\"62797824\", alpha=\"0.06\", expect_size=\"31398912\"] \n  20 -> 21 [size =\"31398912\"]\n  21 [size=\"34633728\", alpha=\"0.12\", expect_size=\"17316864\"] \n  21 -> 22 [size =\"17316864\"]\n  22 [size=\"76230656\", alpha=\"0.03\", expect_size=\"38115328\"] \n  22 -> 23 [size =\"38115328\"]\n  23 [size=\"17309696\", alpha=\"0.10\", expect_size=\"8654848\"] \n  23 -> 24 [size =\"8654848\"]\n  24 [size=\"65513472\", alpha=\"0.15\", expect_size=\"32756736\"] \n  24 -> 25 [size =\"32756736\"]\n  25 [size=\"90179584\", alpha=\"0.09\", expect_size=\"45089792\"] \n  25 -> 26 [size =\"45089792\"]\n  26 [size=\"102705152\", alpha=\"0.18\", expect_size=\"51352576\"] \n  26 -> 27 [size =\"51352576\"]\n  27 [size=\"74948608\", alpha=\"0.16\", expect_size=\"37474304\"] \n  27 -> 28 [size =\"37474304\"]\n  28 [size=\"65175552\", alpha=\"0.12\", expect_size=\"32587776\"] \n  28 -> 29 [size =\"32587776\"]\n  29 [size=\"71139328\", alpha=\"0.19\", expect_size=\"35569664\"] \n  29 -> 30 [size =\"35569664\"]\n  30 [size=\"30681088\", alpha=\"0.17\", expect_size=\"15340544\"] \n  30 -> 31 [size =\"15340544\"]\n  31 [size=\"57008128\", alpha=\"0.17\", expect_size=\"28504064\"] \n  31 -> 32 [size =\"28504064\"]\n  32 [size=\"18073600\", alpha=\"0.15\", expect_size=\"9036800\"] \n  32 -> 33 [size =\"9036800\"]\n  33 [size=\"33439744\", alpha=\"0.00\", expect_size=\"16719872\"] \n  33 -> 34 [size =\"16719872\"]\n  34 [size=\"80095232\", alpha=\"0.15\", expect_size=\"40047616\"] \n  34 -> 35 [size =\"40047616\"]\n  35 [size=\"54579200\", alpha=\"0.19\", expect_size=\"27289600\"] \n  35 -> 36 [size =\"27289600\"]\n  36 [size=\"97052672\", alpha=\"0.15\", expect_size=\"48526336\"] \n  36 -> 37 [size =\"48526336\"]\n  37 [size=\"88596480\", alpha=\"0.06\", expect_size=\"44298240\"] \n  37 -> 38 [size =\"44298240\"]\n  38 [size=\"70637568\", alpha=\"0.01\", expect_size=\"35318784\"] \n  38 -> 39 [size =\"35318784\"]\n  39 [size=\"32677888\", alpha=\"0.03\", expect_size=\"16338944\"] \n  39 -> 40 [size =\"16338944\"]\n  40 [size=\"27811840\", alpha=\"0.16\", expect_size=\"13905920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68037973\", alpha=\"0.09\", expect_size=\"20411392\"] \n  1 -> 19 [size =\"20411392\"]\n  1 -> 24 [size =\"20411392\"]\n  2 [size=\"164829867\", alpha=\"0.01\", expect_size=\"49448960\"] \n  2 -> 17 [size =\"49448960\"]\n  2 -> 19 [size =\"49448960\"]\n  2 -> 23 [size =\"49448960\"]\n  2 -> 24 [size =\"49448960\"]\n  2 -> 28 [size =\"49448960\"]\n  3 [size=\"41096533\", alpha=\"0.02\", expect_size=\"12328960\"] \n  3 -> 18 [size =\"12328960\"]\n  3 -> 22 [size =\"12328960\"]\n  3 -> 23 [size =\"12328960\"]\n  3 -> 26 [size =\"12328960\"]\n  3 -> 27 [size =\"12328960\"]\n  4 [size=\"74792960\", alpha=\"0.16\", expect_size=\"22437888\"] \n  4 -> 17 [size =\"22437888\"]\n  4 -> 20 [size =\"22437888\"]\n  4 -> 21 [size =\"22437888\"]\n  4 -> 26 [size =\"22437888\"]\n  4 -> 27 [size =\"22437888\"]\n  5 [size=\"74400427\", alpha=\"0.16\", expect_size=\"22320128\"] \n  5 -> 26 [size =\"22320128\"]\n  5 -> 28 [size =\"22320128\"]\n  6 [size=\"130805760\", alpha=\"0.04\", expect_size=\"39241728\"] \n  6 -> 22 [size =\"39241728\"]\n  6 -> 24 [size =\"39241728\"]\n  6 -> 26 [size =\"39241728\"]\n  6 -> 28 [size =\"39241728\"]\n  7 [size=\"94057813\", alpha=\"0.14\", expect_size=\"28217344\"] \n  7 -> 25 [size =\"28217344\"]\n  7 -> 26 [size =\"28217344\"]\n  8 [size=\"164662613\", alpha=\"0.03\", expect_size=\"49398784\"] \n  8 -> 17 [size =\"49398784\"]\n  8 -> 24 [size =\"49398784\"]\n  8 -> 26 [size =\"49398784\"]\n  9 [size=\"61091840\", alpha=\"0.06\", expect_size=\"18327552\"] \n  9 -> 17 [size =\"18327552\"]\n  9 -> 18 [size =\"18327552\"]\n  9 -> 28 [size =\"18327552\"]\n  10 [size=\"62928213\", alpha=\"0.15\", expect_size=\"18878464\"] \n  10 -> 22 [size =\"18878464\"]\n  10 -> 26 [size =\"18878464\"]\n  11 [size=\"162239147\", alpha=\"0.02\", expect_size=\"48671744\"] \n  11 -> 17 [size =\"48671744\"]\n  11 -> 18 [size =\"48671744\"]\n  11 -> 23 [size =\"48671744\"]\n  12 [size=\"76574720\", alpha=\"0.17\", expect_size=\"22972416\"] \n  12 -> 20 [size =\"22972416\"]\n  12 -> 24 [size =\"22972416\"]\n  13 [size=\"85869227\", alpha=\"0.02\", expect_size=\"25760768\"] \n  13 -> 22 [size =\"25760768\"]\n  13 -> 24 [size =\"25760768\"]\n  13 -> 27 [size =\"25760768\"]\n  13 -> 28 [size =\"25760768\"]\n  14 [size=\"99778560\", alpha=\"0.09\", expect_size=\"29933568\"] \n  14 -> 22 [size =\"29933568\"]\n  14 -> 26 [size =\"29933568\"]\n  14 -> 27 [size =\"29933568\"]\n  15 [size=\"69471573\", alpha=\"0.04\", expect_size=\"20841472\"] \n  15 -> 17 [size =\"20841472\"]\n  15 -> 19 [size =\"20841472\"]\n  15 -> 23 [size =\"20841472\"]\n  15 -> 26 [size =\"20841472\"]\n  16 [size=\"36522667\", alpha=\"0.16\", expect_size=\"10956800\"] \n  16 -> 19 [size =\"10956800\"]\n  16 -> 20 [size =\"10956800\"]\n  16 -> 24 [size =\"10956800\"]\n  16 -> 28 [size =\"10956800\"]\n  17 [size=\"67211947\", alpha=\"0.10\", expect_size=\"20163584\"] \n  17 -> 37 [size =\"20163584\"]\n  17 -> 38 [size =\"20163584\"]\n  17 -> 40 [size =\"20163584\"]\n  18 [size=\"19496960\", alpha=\"0.03\", expect_size=\"5849088\"] \n  18 -> 34 [size =\"5849088\"]\n  18 -> 37 [size =\"5849088\"]\n  18 -> 38 [size =\"5849088\"]\n  19 [size=\"43636053\", alpha=\"0.10\", expect_size=\"13090816\"] \n  19 -> 30 [size =\"13090816\"]\n  19 -> 31 [size =\"13090816\"]\n  19 -> 34 [size =\"13090816\"]\n  19 -> 37 [size =\"13090816\"]\n  19 -> 38 [size =\"13090816\"]\n  19 -> 40 [size =\"13090816\"]\n  20 [size=\"90675200\", alpha=\"0.16\", expect_size=\"27202560\"] \n  20 -> 30 [size =\"27202560\"]\n  20 -> 35 [size =\"27202560\"]\n  20 -> 37 [size =\"27202560\"]\n  20 -> 40 [size =\"27202560\"]\n  21 [size=\"54186667\", alpha=\"0.09\", expect_size=\"16256000\"] \n  21 -> 30 [size =\"16256000\"]\n  21 -> 35 [size =\"16256000\"]\n  21 -> 36 [size =\"16256000\"]\n  21 -> 39 [size =\"16256000\"]\n  21 -> 40 [size =\"16256000\"]\n  22 [size=\"69287253\", alpha=\"0.00\", expect_size=\"20786176\"] \n  22 -> 38 [size =\"20786176\"]\n  22 -> 39 [size =\"20786176\"]\n  22 -> 40 [size =\"20786176\"]\n  23 [size=\"43356160\", alpha=\"0.15\", expect_size=\"13006848\"] \n  23 -> 29 [size =\"13006848\"]\n  23 -> 30 [size =\"13006848\"]\n  23 -> 35 [size =\"13006848\"]\n  23 -> 36 [size =\"13006848\"]\n  23 -> 37 [size =\"13006848\"]\n  23 -> 38 [size =\"13006848\"]\n  23 -> 40 [size =\"13006848\"]\n  24 [size=\"61866667\", alpha=\"0.16\", expect_size=\"18560000\"] \n  24 -> 29 [size =\"18560000\"]\n  24 -> 31 [size =\"18560000\"]\n  24 -> 33 [size =\"18560000\"]\n  24 -> 35 [size =\"18560000\"]\n  24 -> 37 [size =\"18560000\"]\n  24 -> 40 [size =\"18560000\"]\n  25 [size=\"134679893\", alpha=\"0.05\", expect_size=\"40403968\"] \n  25 -> 31 [size =\"40403968\"]\n  25 -> 33 [size =\"40403968\"]\n  25 -> 33 [size =\"40403968\"]\n  25 -> 35 [size =\"40403968\"]\n  25 -> 36 [size =\"40403968\"]\n  25 -> 38 [size =\"40403968\"]\n  25 -> 39 [size =\"40403968\"]\n  26 [size=\"166256640\", alpha=\"0.09\", expect_size=\"49876992\"] \n  26 -> 30 [size =\"49876992\"]\n  26 -> 31 [size =\"49876992\"]\n  26 -> 35 [size =\"49876992\"]\n  26 -> 35 [size =\"49876992\"]\n  26 -> 39 [size =\"49876992\"]\n  27 [size=\"133662720\", alpha=\"0.02\", expect_size=\"40098816\"] \n  27 -> 30 [size =\"40098816\"]\n  27 -> 32 [size =\"40098816\"]\n  27 -> 35 [size =\"40098816\"]\n  28 [size=\"56736427\", alpha=\"0.13\", expect_size=\"17020928\"] \n  28 -> 30 [size =\"17020928\"]\n  28 -> 34 [size =\"17020928\"]\n  28 -> 36 [size =\"17020928\"]\n  28 -> 37 [size =\"17020928\"]\n  28 -> 38 [size =\"17020928\"]\n  29 [size=\"78312107\", alpha=\"0.11\", expect_size=\"23493632\"] \n  30 [size=\"159423147\", alpha=\"0.14\", expect_size=\"47826944\"] \n  31 [size=\"131867307\", alpha=\"0.15\", expect_size=\"39560192\"] \n  32 [size=\"46213120\", alpha=\"0.04\", expect_size=\"13863936\"] \n  33 [size=\"49814187\", alpha=\"0.02\", expect_size=\"14944256\"] \n  34 [size=\"166294187\", alpha=\"0.10\", expect_size=\"49888256\"] \n  35 [size=\"138397013\", alpha=\"0.05\", expect_size=\"41519104\"] \n  36 [size=\"23046827\", alpha=\"0.02\", expect_size=\"6914048\"] \n  37 [size=\"90862933\", alpha=\"0.06\", expect_size=\"27258880\"] \n  38 [size=\"103857493\", alpha=\"0.09\", expect_size=\"31157248\"] \n  39 [size=\"51923627\", alpha=\"0.16\", expect_size=\"15577088\"] \n  40 [size=\"135973547\", alpha=\"0.13\", expect_size=\"40792064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36324693\", alpha=\"0.03\", expect_size=\"10897408\"] \n  1 -> 7 [size =\"10897408\"]\n  1 -> 9 [size =\"10897408\"]\n  1 -> 11 [size =\"10897408\"]\n  1 -> 12 [size =\"10897408\"]\n  1 -> 14 [size =\"10897408\"]\n  2 [size=\"92654933\", alpha=\"0.06\", expect_size=\"27796480\"] \n  2 -> 9 [size =\"27796480\"]\n  2 -> 10 [size =\"27796480\"]\n  2 -> 11 [size =\"27796480\"]\n  2 -> 12 [size =\"27796480\"]\n  3 [size=\"108247040\", alpha=\"0.00\", expect_size=\"32474112\"] \n  3 -> 8 [size =\"32474112\"]\n  3 -> 10 [size =\"32474112\"]\n  3 -> 11 [size =\"32474112\"]\n  3 -> 13 [size =\"32474112\"]\n  4 [size=\"62436693\", alpha=\"0.06\", expect_size=\"18731008\"] \n  4 -> 8 [size =\"18731008\"]\n  4 -> 10 [size =\"18731008\"]\n  4 -> 15 [size =\"18731008\"]\n  5 [size=\"31327573\", alpha=\"0.12\", expect_size=\"9398272\"] \n  5 -> 9 [size =\"9398272\"]\n  5 -> 10 [size =\"9398272\"]\n  5 -> 12 [size =\"9398272\"]\n  6 [size=\"161918293\", alpha=\"0.17\", expect_size=\"48575488\"] \n  7 [size=\"67478187\", alpha=\"0.12\", expect_size=\"20243456\"] \n  7 -> 17 [size =\"20243456\"]\n  7 -> 18 [size =\"20243456\"]\n  8 [size=\"63573333\", alpha=\"0.04\", expect_size=\"19072000\"] \n  8 -> 16 [size =\"19072000\"]\n  8 -> 18 [size =\"19072000\"]\n  9 [size=\"136065707\", alpha=\"0.04\", expect_size=\"40819712\"] \n  10 [size=\"169434453\", alpha=\"0.10\", expect_size=\"50830336\"] \n  10 -> 17 [size =\"50830336\"]\n  10 -> 18 [size =\"50830336\"]\n  10 -> 22 [size =\"50830336\"]\n  11 [size=\"112042667\", alpha=\"0.00\", expect_size=\"33612800\"] \n  11 -> 16 [size =\"33612800\"]\n  11 -> 17 [size =\"33612800\"]\n  11 -> 18 [size =\"33612800\"]\n  11 -> 20 [size =\"33612800\"]\n  11 -> 21 [size =\"33612800\"]\n  11 -> 22 [size =\"33612800\"]\n  12 [size=\"132587520\", alpha=\"0.18\", expect_size=\"39776256\"] \n  12 -> 17 [size =\"39776256\"]\n  12 -> 21 [size =\"39776256\"]\n  13 [size=\"25473707\", alpha=\"0.10\", expect_size=\"7642112\"] \n  13 -> 17 [size =\"7642112\"]\n  13 -> 18 [size =\"7642112\"]\n  14 [size=\"27146240\", alpha=\"0.05\", expect_size=\"8143872\"] \n  14 -> 17 [size =\"8143872\"]\n  14 -> 19 [size =\"8143872\"]\n  14 -> 20 [size =\"8143872\"]\n  15 [size=\"73557333\", alpha=\"0.01\", expect_size=\"22067200\"] \n  15 -> 18 [size =\"22067200\"]\n  15 -> 19 [size =\"22067200\"]\n  15 -> 20 [size =\"22067200\"]\n  15 -> 22 [size =\"22067200\"]\n  16 [size=\"166799360\", alpha=\"0.19\", expect_size=\"50039808\"] \n  16 -> 23 [size =\"50039808\"]\n  16 -> 24 [size =\"50039808\"]\n  16 -> 30 [size =\"50039808\"]\n  17 [size=\"142465707\", alpha=\"0.02\", expect_size=\"42739712\"] \n  17 -> 23 [size =\"42739712\"]\n  17 -> 24 [size =\"42739712\"]\n  17 -> 25 [size =\"42739712\"]\n  18 [size=\"77462187\", alpha=\"0.10\", expect_size=\"23238656\"] \n  18 -> 23 [size =\"23238656\"]\n  18 -> 31 [size =\"23238656\"]\n  19 [size=\"106287787\", alpha=\"0.13\", expect_size=\"31886336\"] \n  19 -> 24 [size =\"31886336\"]\n  19 -> 26 [size =\"31886336\"]\n  19 -> 29 [size =\"31886336\"]\n  20 [size=\"136823467\", alpha=\"0.17\", expect_size=\"41047040\"] \n  20 -> 27 [size =\"41047040\"]\n  20 -> 30 [size =\"41047040\"]\n  21 [size=\"55323307\", alpha=\"0.03\", expect_size=\"16596992\"] \n  21 -> 26 [size =\"16596992\"]\n  21 -> 31 [size =\"16596992\"]\n  22 [size=\"56661333\", alpha=\"0.19\", expect_size=\"16998400\"] \n  22 -> 28 [size =\"16998400\"]\n  22 -> 29 [size =\"16998400\"]\n  22 -> 31 [size =\"16998400\"]\n  22 -> 32 [size =\"16998400\"]\n  23 [size=\"44124160\", alpha=\"0.06\", expect_size=\"13237248\"] \n  23 -> 34 [size =\"13237248\"]\n  23 -> 39 [size =\"13237248\"]\n  24 [size=\"122333867\", alpha=\"0.19\", expect_size=\"36700160\"] \n  24 -> 35 [size =\"36700160\"]\n  24 -> 36 [size =\"36700160\"]\n  24 -> 37 [size =\"36700160\"]\n  25 [size=\"161293653\", alpha=\"0.14\", expect_size=\"48388096\"] \n  25 -> 33 [size =\"48388096\"]\n  25 -> 35 [size =\"48388096\"]\n  26 [size=\"170533547\", alpha=\"0.08\", expect_size=\"51160064\"] \n  26 -> 33 [size =\"51160064\"]\n  26 -> 35 [size =\"51160064\"]\n  26 -> 38 [size =\"51160064\"]\n  26 -> 39 [size =\"51160064\"]\n  27 [size=\"165901653\", alpha=\"0.07\", expect_size=\"49770496\"] \n  27 -> 33 [size =\"49770496\"]\n  27 -> 36 [size =\"49770496\"]\n  27 -> 38 [size =\"49770496\"]\n  28 [size=\"25712640\", alpha=\"0.13\", expect_size=\"7713792\"] \n  28 -> 38 [size =\"7713792\"]\n  29 [size=\"102406827\", alpha=\"0.13\", expect_size=\"30722048\"] \n  29 -> 38 [size =\"30722048\"]\n  30 [size=\"46001493\", alpha=\"0.13\", expect_size=\"13800448\"] \n  30 -> 33 [size =\"13800448\"]\n  30 -> 34 [size =\"13800448\"]\n  30 -> 36 [size =\"13800448\"]\n  30 -> 38 [size =\"13800448\"]\n  30 -> 39 [size =\"13800448\"]\n  31 [size=\"20247893\", alpha=\"0.05\", expect_size=\"6074368\"] \n  31 -> 33 [size =\"6074368\"]\n  31 -> 37 [size =\"6074368\"]\n  31 -> 38 [size =\"6074368\"]\n  31 -> 39 [size =\"6074368\"]\n  32 [size=\"43997867\", alpha=\"0.11\", expect_size=\"13199360\"] \n  32 -> 33 [size =\"13199360\"]\n  32 -> 40 [size =\"13199360\"]\n  33 [size=\"35143680\", alpha=\"0.19\", expect_size=\"10543104\"] \n  34 [size=\"84462933\", alpha=\"0.08\", expect_size=\"25338880\"] \n  35 [size=\"79626240\", alpha=\"0.04\", expect_size=\"23887872\"] \n  36 [size=\"34495147\", alpha=\"0.19\", expect_size=\"10348544\"] \n  37 [size=\"93504853\", alpha=\"0.09\", expect_size=\"28051456\"] \n  38 [size=\"149381120\", alpha=\"0.08\", expect_size=\"44814336\"] \n  39 [size=\"90931200\", alpha=\"0.17\", expect_size=\"27279360\"] \n  40 [size=\"36747947\", alpha=\"0.02\", expect_size=\"11024384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16281600\", alpha=\"0.19\", expect_size=\"8140800\"] \n  1 -> 5 [size =\"8140800\"]\n  1 -> 6 [size =\"8140800\"]\n  2 [size=\"15507456\", alpha=\"0.09\", expect_size=\"7753728\"] \n  2 -> 6 [size =\"7753728\"]\n  2 -> 6 [size =\"7753728\"]\n  3 [size=\"35516416\", alpha=\"0.19\", expect_size=\"17758208\"] \n  3 -> 5 [size =\"17758208\"]\n  3 -> 6 [size =\"17758208\"]\n  4 [size=\"91482112\", alpha=\"0.13\", expect_size=\"45741056\"] \n  4 -> 5 [size =\"45741056\"]\n  5 [size=\"51380224\", alpha=\"0.20\", expect_size=\"25690112\"] \n  5 -> 7 [size =\"25690112\"]\n  5 -> 8 [size =\"25690112\"]\n  6 [size=\"102000640\", alpha=\"0.05\", expect_size=\"51000320\"] \n  6 -> 8 [size =\"51000320\"]\n  7 [size=\"35254272\", alpha=\"0.14\", expect_size=\"17627136\"] \n  7 -> 9 [size =\"17627136\"]\n  8 [size=\"61294592\", alpha=\"0.11\", expect_size=\"30647296\"] \n  9 [size=\"20000768\", alpha=\"0.06\", expect_size=\"10000384\"] \n  9 -> 10 [size =\"10000384\"]\n  9 -> 11 [size =\"10000384\"]\n  10 [size=\"84738048\", alpha=\"0.06\", expect_size=\"42369024\"] \n  10 -> 12 [size =\"42369024\"]\n  10 -> 13 [size =\"42369024\"]\n  11 [size=\"92243968\", alpha=\"0.16\", expect_size=\"46121984\"] \n  11 -> 12 [size =\"46121984\"]\n  11 -> 13 [size =\"46121984\"]\n  12 [size=\"86829056\", alpha=\"0.10\", expect_size=\"43414528\"] \n  12 -> 14 [size =\"43414528\"]\n  12 -> 15 [size =\"43414528\"]\n  12 -> 16 [size =\"43414528\"]\n  12 -> 17 [size =\"43414528\"]\n  13 [size=\"36696064\", alpha=\"0.18\", expect_size=\"18348032\"] \n  13 -> 15 [size =\"18348032\"]\n  13 -> 16 [size =\"18348032\"]\n  13 -> 17 [size =\"18348032\"]\n  14 [size=\"30568448\", alpha=\"0.07\", expect_size=\"15284224\"] \n  14 -> 18 [size =\"15284224\"]\n  14 -> 20 [size =\"15284224\"]\n  14 -> 21 [size =\"15284224\"]\n  15 [size=\"93186048\", alpha=\"0.11\", expect_size=\"46593024\"] \n  15 -> 20 [size =\"46593024\"]\n  16 [size=\"92100608\", alpha=\"0.13\", expect_size=\"46050304\"] \n  16 -> 18 [size =\"46050304\"]\n  16 -> 19 [size =\"46050304\"]\n  16 -> 20 [size =\"46050304\"]\n  17 [size=\"22908928\", alpha=\"0.17\", expect_size=\"11454464\"] \n  17 -> 18 [size =\"11454464\"]\n  17 -> 19 [size =\"11454464\"]\n  18 [size=\"87810048\", alpha=\"0.19\", expect_size=\"43905024\"] \n  18 -> 22 [size =\"43905024\"]\n  18 -> 23 [size =\"43905024\"]\n  18 -> 24 [size =\"43905024\"]\n  19 [size=\"44046336\", alpha=\"0.18\", expect_size=\"22023168\"] \n  19 -> 22 [size =\"22023168\"]\n  19 -> 24 [size =\"22023168\"]\n  20 [size=\"74483712\", alpha=\"0.01\", expect_size=\"37241856\"] \n  20 -> 22 [size =\"37241856\"]\n  20 -> 23 [size =\"37241856\"]\n  20 -> 24 [size =\"37241856\"]\n  21 [size=\"101787648\", alpha=\"0.05\", expect_size=\"50893824\"] \n  21 -> 22 [size =\"50893824\"]\n  21 -> 23 [size =\"50893824\"]\n  22 [size=\"80850944\", alpha=\"0.10\", expect_size=\"40425472\"] \n  23 [size=\"33517568\", alpha=\"0.01\", expect_size=\"16758784\"] \n  23 -> 25 [size =\"16758784\"]\n  23 -> 26 [size =\"16758784\"]\n  24 [size=\"25624576\", alpha=\"0.08\", expect_size=\"12812288\"] \n  24 -> 27 [size =\"12812288\"]\n  25 [size=\"59406336\", alpha=\"0.05\", expect_size=\"29703168\"] \n  26 [size=\"19052544\", alpha=\"0.00\", expect_size=\"9526272\"] \n  26 -> 28 [size =\"9526272\"]\n  26 -> 29 [size =\"9526272\"]\n  26 -> 30 [size =\"9526272\"]\n  27 [size=\"78551040\", alpha=\"0.01\", expect_size=\"39275520\"] \n  27 -> 28 [size =\"39275520\"]\n  27 -> 30 [size =\"39275520\"]\n  28 [size=\"62261248\", alpha=\"0.13\", expect_size=\"31130624\"] \n  28 -> 32 [size =\"31130624\"]\n  29 [size=\"57202688\", alpha=\"0.07\", expect_size=\"28601344\"] \n  29 -> 31 [size =\"28601344\"]\n  29 -> 32 [size =\"28601344\"]\n  30 [size=\"46987264\", alpha=\"0.16\", expect_size=\"23493632\"] \n  30 -> 32 [size =\"23493632\"]\n  30 -> 33 [size =\"23493632\"]\n  31 [size=\"50429952\", alpha=\"0.03\", expect_size=\"25214976\"] \n  31 -> 34 [size =\"25214976\"]\n  31 -> 35 [size =\"25214976\"]\n  32 [size=\"73330688\", alpha=\"0.06\", expect_size=\"36665344\"] \n  32 -> 34 [size =\"36665344\"]\n  32 -> 35 [size =\"36665344\"]\n  33 [size=\"26335232\", alpha=\"0.15\", expect_size=\"13167616\"] \n  33 -> 34 [size =\"13167616\"]\n  33 -> 35 [size =\"13167616\"]\n  34 [size=\"28852224\", alpha=\"0.07\", expect_size=\"14426112\"] \n  34 -> 36 [size =\"14426112\"]\n  34 -> 37 [size =\"14426112\"]\n  34 -> 38 [size =\"14426112\"]\n  34 -> 39 [size =\"14426112\"]\n  35 [size=\"67506176\", alpha=\"0.18\", expect_size=\"33753088\"] \n  35 -> 36 [size =\"33753088\"]\n  35 -> 37 [size =\"33753088\"]\n  35 -> 38 [size =\"33753088\"]\n  35 -> 39 [size =\"33753088\"]\n  36 [size=\"88819712\", alpha=\"0.05\", expect_size=\"44409856\"] \n  36 -> 40 [size =\"44409856\"]\n  37 [size=\"89935872\", alpha=\"0.16\", expect_size=\"44967936\"] \n  37 -> 40 [size =\"44967936\"]\n  38 [size=\"95625216\", alpha=\"0.02\", expect_size=\"47812608\"] \n  39 [size=\"62326784\", alpha=\"0.16\", expect_size=\"31163392\"] \n  39 -> 40 [size =\"31163392\"]\n  40 [size=\"93927424\", alpha=\"0.03\", expect_size=\"46963712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17643520\", alpha=\"0.14\", expect_size=\"8821760\"] \n  1 -> 2 [size =\"8821760\"]\n  2 [size=\"44345344\", alpha=\"0.10\", expect_size=\"22172672\"] \n  2 -> 3 [size =\"22172672\"]\n  3 [size=\"104009728\", alpha=\"0.07\", expect_size=\"52004864\"] \n  3 -> 4 [size =\"52004864\"]\n  4 [size=\"46886912\", alpha=\"0.00\", expect_size=\"23443456\"] \n  4 -> 5 [size =\"23443456\"]\n  5 [size=\"30824448\", alpha=\"0.09\", expect_size=\"15412224\"] \n  5 -> 6 [size =\"15412224\"]\n  6 [size=\"62332928\", alpha=\"0.08\", expect_size=\"31166464\"] \n  6 -> 7 [size =\"31166464\"]\n  7 [size=\"12720128\", alpha=\"0.02\", expect_size=\"6360064\"] \n  7 -> 8 [size =\"6360064\"]\n  8 [size=\"13948928\", alpha=\"0.05\", expect_size=\"6974464\"] \n  8 -> 9 [size =\"6974464\"]\n  9 [size=\"57806848\", alpha=\"0.17\", expect_size=\"28903424\"] \n  9 -> 10 [size =\"28903424\"]\n  10 [size=\"34232320\", alpha=\"0.19\", expect_size=\"17116160\"] \n  10 -> 11 [size =\"17116160\"]\n  11 [size=\"48236544\", alpha=\"0.18\", expect_size=\"24118272\"] \n  11 -> 12 [size =\"24118272\"]\n  12 [size=\"21395456\", alpha=\"0.01\", expect_size=\"10697728\"] \n  12 -> 13 [size =\"10697728\"]\n  13 [size=\"66818048\", alpha=\"0.00\", expect_size=\"33409024\"] \n  13 -> 14 [size =\"33409024\"]\n  14 [size=\"101552128\", alpha=\"0.01\", expect_size=\"50776064\"] \n  14 -> 15 [size =\"50776064\"]\n  15 [size=\"102508544\", alpha=\"0.11\", expect_size=\"51254272\"] \n  15 -> 16 [size =\"51254272\"]\n  16 [size=\"50501632\", alpha=\"0.12\", expect_size=\"25250816\"] \n  16 -> 17 [size =\"25250816\"]\n  17 [size=\"86337536\", alpha=\"0.11\", expect_size=\"43168768\"] \n  17 -> 18 [size =\"43168768\"]\n  18 [size=\"94318592\", alpha=\"0.12\", expect_size=\"47159296\"] \n  18 -> 19 [size =\"47159296\"]\n  19 [size=\"22757376\", alpha=\"0.19\", expect_size=\"11378688\"] \n  19 -> 20 [size =\"11378688\"]\n  20 [size=\"101746688\", alpha=\"0.14\", expect_size=\"50873344\"] \n  20 -> 21 [size =\"50873344\"]\n  21 [size=\"96927744\", alpha=\"0.10\", expect_size=\"48463872\"] \n  21 -> 22 [size =\"48463872\"]\n  22 [size=\"88354816\", alpha=\"0.14\", expect_size=\"44177408\"] \n  22 -> 23 [size =\"44177408\"]\n  23 [size=\"91779072\", alpha=\"0.17\", expect_size=\"45889536\"] \n  23 -> 24 [size =\"45889536\"]\n  24 [size=\"92182528\", alpha=\"0.09\", expect_size=\"46091264\"] \n  24 -> 25 [size =\"46091264\"]\n  25 [size=\"97060864\", alpha=\"0.04\", expect_size=\"48530432\"] \n  25 -> 26 [size =\"48530432\"]\n  26 [size=\"54972416\", alpha=\"0.11\", expect_size=\"27486208\"] \n  26 -> 27 [size =\"27486208\"]\n  27 [size=\"15566848\", alpha=\"0.17\", expect_size=\"7783424\"] \n  27 -> 28 [size =\"7783424\"]\n  28 [size=\"69689344\", alpha=\"0.05\", expect_size=\"34844672\"] \n  28 -> 29 [size =\"34844672\"]\n  29 [size=\"33226752\", alpha=\"0.03\", expect_size=\"16613376\"] \n  29 -> 30 [size =\"16613376\"]\n  30 [size=\"28655616\", alpha=\"0.06\", expect_size=\"14327808\"] \n  30 -> 31 [size =\"14327808\"]\n  31 [size=\"94535680\", alpha=\"0.16\", expect_size=\"47267840\"] \n  31 -> 32 [size =\"47267840\"]\n  32 [size=\"49278976\", alpha=\"0.09\", expect_size=\"24639488\"] \n  32 -> 33 [size =\"24639488\"]\n  33 [size=\"21118976\", alpha=\"0.14\", expect_size=\"10559488\"] \n  33 -> 34 [size =\"10559488\"]\n  34 [size=\"103583744\", alpha=\"0.19\", expect_size=\"51791872\"] \n  34 -> 35 [size =\"51791872\"]\n  35 [size=\"49956864\", alpha=\"0.02\", expect_size=\"24978432\"] \n  35 -> 36 [size =\"24978432\"]\n  36 [size=\"69324800\", alpha=\"0.15\", expect_size=\"34662400\"] \n  36 -> 37 [size =\"34662400\"]\n  37 [size=\"24788992\", alpha=\"0.03\", expect_size=\"12394496\"] \n  37 -> 38 [size =\"12394496\"]\n  38 [size=\"12959744\", alpha=\"0.09\", expect_size=\"6479872\"] \n  38 -> 39 [size =\"6479872\"]\n  39 [size=\"37300224\", alpha=\"0.18\", expect_size=\"18650112\"] \n  39 -> 40 [size =\"18650112\"]\n  40 [size=\"50761728\", alpha=\"0.06\", expect_size=\"25380864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96385707\", alpha=\"0.17\", expect_size=\"28915712\"] \n  2 [size=\"77602133\", alpha=\"0.05\", expect_size=\"23280640\"] \n  2 -> 9 [size =\"23280640\"]\n  3 [size=\"133683200\", alpha=\"0.14\", expect_size=\"40104960\"] \n  3 -> 6 [size =\"40104960\"]\n  3 -> 7 [size =\"40104960\"]\n  3 -> 9 [size =\"40104960\"]\n  4 [size=\"80940373\", alpha=\"0.08\", expect_size=\"24282112\"] \n  4 -> 7 [size =\"24282112\"]\n  5 [size=\"60436480\", alpha=\"0.17\", expect_size=\"18130944\"] \n  5 -> 6 [size =\"18130944\"]\n  5 -> 7 [size =\"18130944\"]\n  5 -> 8 [size =\"18130944\"]\n  5 -> 10 [size =\"18130944\"]\n  6 [size=\"122098347\", alpha=\"0.09\", expect_size=\"36629504\"] \n  6 -> 11 [size =\"36629504\"]\n  7 [size=\"69676373\", alpha=\"0.13\", expect_size=\"20902912\"] \n  7 -> 11 [size =\"20902912\"]\n  7 -> 14 [size =\"20902912\"]\n  8 [size=\"145035947\", alpha=\"0.19\", expect_size=\"43510784\"] \n  8 -> 13 [size =\"43510784\"]\n  8 -> 14 [size =\"43510784\"]\n  9 [size=\"30979413\", alpha=\"0.06\", expect_size=\"9293824\"] \n  9 -> 11 [size =\"9293824\"]\n  9 -> 12 [size =\"9293824\"]\n  9 -> 14 [size =\"9293824\"]\n  10 [size=\"157112320\", alpha=\"0.03\", expect_size=\"47133696\"] \n  10 -> 12 [size =\"47133696\"]\n  10 -> 13 [size =\"47133696\"]\n  11 [size=\"173086720\", alpha=\"0.09\", expect_size=\"51926016\"] \n  11 -> 16 [size =\"51926016\"]\n  11 -> 17 [size =\"51926016\"]\n  11 -> 19 [size =\"51926016\"]\n  12 [size=\"151251627\", alpha=\"0.11\", expect_size=\"45375488\"] \n  12 -> 16 [size =\"45375488\"]\n  12 -> 18 [size =\"45375488\"]\n  13 [size=\"35345067\", alpha=\"0.12\", expect_size=\"10603520\"] \n  13 -> 17 [size =\"10603520\"]\n  13 -> 18 [size =\"10603520\"]\n  13 -> 19 [size =\"10603520\"]\n  14 [size=\"144701440\", alpha=\"0.17\", expect_size=\"43410432\"] \n  14 -> 15 [size =\"43410432\"]\n  14 -> 17 [size =\"43410432\"]\n  14 -> 18 [size =\"43410432\"]\n  15 [size=\"49134933\", alpha=\"0.15\", expect_size=\"14740480\"] \n  15 -> 20 [size =\"14740480\"]\n  15 -> 22 [size =\"14740480\"]\n  15 -> 24 [size =\"14740480\"]\n  15 -> 25 [size =\"14740480\"]\n  16 [size=\"25166507\", alpha=\"0.11\", expect_size=\"7549952\"] \n  16 -> 20 [size =\"7549952\"]\n  16 -> 22 [size =\"7549952\"]\n  16 -> 24 [size =\"7549952\"]\n  16 -> 26 [size =\"7549952\"]\n  17 [size=\"98928640\", alpha=\"0.08\", expect_size=\"29678592\"] \n  17 -> 22 [size =\"29678592\"]\n  17 -> 26 [size =\"29678592\"]\n  18 [size=\"40492373\", alpha=\"0.12\", expect_size=\"12147712\"] \n  18 -> 20 [size =\"12147712\"]\n  18 -> 21 [size =\"12147712\"]\n  18 -> 23 [size =\"12147712\"]\n  18 -> 24 [size =\"12147712\"]\n  18 -> 26 [size =\"12147712\"]\n  19 [size=\"29074773\", alpha=\"0.17\", expect_size=\"8722432\"] \n  19 -> 23 [size =\"8722432\"]\n  20 [size=\"78001493\", alpha=\"0.07\", expect_size=\"23400448\"] \n  20 -> 27 [size =\"23400448\"]\n  20 -> 30 [size =\"23400448\"]\n  21 [size=\"99614720\", alpha=\"0.07\", expect_size=\"29884416\"] \n  21 -> 29 [size =\"29884416\"]\n  22 [size=\"172950187\", alpha=\"0.14\", expect_size=\"51885056\"] \n  22 -> 27 [size =\"51885056\"]\n  22 -> 29 [size =\"51885056\"]\n  23 [size=\"100959573\", alpha=\"0.17\", expect_size=\"30287872\"] \n  23 -> 27 [size =\"30287872\"]\n  23 -> 28 [size =\"30287872\"]\n  23 -> 29 [size =\"30287872\"]\n  24 [size=\"35263147\", alpha=\"0.07\", expect_size=\"10578944\"] \n  24 -> 28 [size =\"10578944\"]\n  25 [size=\"168898560\", alpha=\"0.03\", expect_size=\"50669568\"] \n  25 -> 29 [size =\"50669568\"]\n  26 [size=\"132932267\", alpha=\"0.12\", expect_size=\"39879680\"] \n  26 -> 27 [size =\"39879680\"]\n  26 -> 28 [size =\"39879680\"]\n  26 -> 30 [size =\"39879680\"]\n  27 [size=\"61296640\", alpha=\"0.08\", expect_size=\"18388992\"] \n  27 -> 31 [size =\"18388992\"]\n  28 [size=\"122026667\", alpha=\"0.19\", expect_size=\"36608000\"] \n  28 -> 33 [size =\"36608000\"]\n  28 -> 36 [size =\"36608000\"]\n  28 -> 37 [size =\"36608000\"]\n  29 [size=\"59555840\", alpha=\"0.13\", expect_size=\"17866752\"] \n  29 -> 32 [size =\"17866752\"]\n  29 -> 34 [size =\"17866752\"]\n  29 -> 37 [size =\"17866752\"]\n  30 [size=\"39270400\", alpha=\"0.05\", expect_size=\"11781120\"] \n  30 -> 32 [size =\"11781120\"]\n  30 -> 35 [size =\"11781120\"]\n  30 -> 37 [size =\"11781120\"]\n  31 [size=\"95887360\", alpha=\"0.16\", expect_size=\"28766208\"] \n  31 -> 38 [size =\"28766208\"]\n  31 -> 40 [size =\"28766208\"]\n  32 [size=\"151029760\", alpha=\"0.04\", expect_size=\"45308928\"] \n  32 -> 39 [size =\"45308928\"]\n  33 [size=\"107537067\", alpha=\"0.14\", expect_size=\"32261120\"] \n  34 [size=\"81623040\", alpha=\"0.01\", expect_size=\"24486912\"] \n  34 -> 38 [size =\"24486912\"]\n  35 [size=\"136748373\", alpha=\"0.12\", expect_size=\"41024512\"] \n  35 -> 39 [size =\"41024512\"]\n  35 -> 40 [size =\"41024512\"]\n  36 [size=\"158593707\", alpha=\"0.03\", expect_size=\"47578112\"] \n  36 -> 38 [size =\"47578112\"]\n  36 -> 40 [size =\"47578112\"]\n  37 [size=\"94494720\", alpha=\"0.05\", expect_size=\"28348416\"] \n  37 -> 38 [size =\"28348416\"]\n  37 -> 40 [size =\"28348416\"]\n  38 [size=\"153934507\", alpha=\"0.10\", expect_size=\"46180352\"] \n  39 [size=\"149899947\", alpha=\"0.17\", expect_size=\"44969984\"] \n  40 [size=\"95901013\", alpha=\"0.11\", expect_size=\"28770304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159218347\", alpha=\"0.12\", expect_size=\"47765504\"] \n  1 -> 2 [size =\"47765504\"]\n  2 [size=\"61607253\", alpha=\"0.16\", expect_size=\"18482176\"] \n  2 -> 3 [size =\"18482176\"]\n  3 [size=\"133966507\", alpha=\"0.05\", expect_size=\"40189952\"] \n  3 -> 4 [size =\"40189952\"]\n  4 [size=\"158276267\", alpha=\"0.03\", expect_size=\"47482880\"] \n  4 -> 5 [size =\"47482880\"]\n  5 [size=\"84486827\", alpha=\"0.01\", expect_size=\"25346048\"] \n  5 -> 6 [size =\"25346048\"]\n  6 [size=\"42482347\", alpha=\"0.16\", expect_size=\"12744704\"] \n  6 -> 7 [size =\"12744704\"]\n  7 [size=\"157713067\", alpha=\"0.14\", expect_size=\"47313920\"] \n  7 -> 8 [size =\"47313920\"]\n  8 [size=\"70918827\", alpha=\"0.05\", expect_size=\"21275648\"] \n  8 -> 9 [size =\"21275648\"]\n  9 [size=\"87272107\", alpha=\"0.09\", expect_size=\"26181632\"] \n  9 -> 10 [size =\"26181632\"]\n  10 [size=\"50305707\", alpha=\"0.07\", expect_size=\"15091712\"] \n  10 -> 11 [size =\"15091712\"]\n  11 [size=\"30774613\", alpha=\"0.02\", expect_size=\"9232384\"] \n  11 -> 12 [size =\"9232384\"]\n  12 [size=\"121931093\", alpha=\"0.05\", expect_size=\"36579328\"] \n  12 -> 13 [size =\"36579328\"]\n  13 [size=\"90258773\", alpha=\"0.08\", expect_size=\"27077632\"] \n  13 -> 14 [size =\"27077632\"]\n  14 [size=\"125955413\", alpha=\"0.17\", expect_size=\"37786624\"] \n  14 -> 15 [size =\"37786624\"]\n  15 [size=\"148008960\", alpha=\"0.20\", expect_size=\"44402688\"] \n  15 -> 16 [size =\"44402688\"]\n  16 [size=\"154620587\", alpha=\"0.11\", expect_size=\"46386176\"] \n  16 -> 17 [size =\"46386176\"]\n  17 [size=\"121067520\", alpha=\"0.09\", expect_size=\"36320256\"] \n  17 -> 18 [size =\"36320256\"]\n  18 [size=\"76608853\", alpha=\"0.04\", expect_size=\"22982656\"] \n  18 -> 19 [size =\"22982656\"]\n  19 [size=\"115548160\", alpha=\"0.05\", expect_size=\"34664448\"] \n  19 -> 20 [size =\"34664448\"]\n  20 [size=\"28446720\", alpha=\"0.15\", expect_size=\"8534016\"] \n  20 -> 21 [size =\"8534016\"]\n  21 [size=\"81117867\", alpha=\"0.02\", expect_size=\"24335360\"] \n  21 -> 22 [size =\"24335360\"]\n  22 [size=\"97146880\", alpha=\"0.16\", expect_size=\"29144064\"] \n  22 -> 23 [size =\"29144064\"]\n  23 [size=\"133922133\", alpha=\"0.04\", expect_size=\"40176640\"] \n  23 -> 24 [size =\"40176640\"]\n  24 [size=\"43089920\", alpha=\"0.09\", expect_size=\"12926976\"] \n  24 -> 25 [size =\"12926976\"]\n  25 [size=\"172963840\", alpha=\"0.04\", expect_size=\"51889152\"] \n  25 -> 26 [size =\"51889152\"]\n  26 [size=\"169936213\", alpha=\"0.02\", expect_size=\"50980864\"] \n  26 -> 27 [size =\"50980864\"]\n  27 [size=\"101085867\", alpha=\"0.17\", expect_size=\"30325760\"] \n  27 -> 28 [size =\"30325760\"]\n  28 [size=\"172898987\", alpha=\"0.19\", expect_size=\"51869696\"] \n  28 -> 29 [size =\"51869696\"]\n  29 [size=\"43888640\", alpha=\"0.10\", expect_size=\"13166592\"] \n  29 -> 30 [size =\"13166592\"]\n  30 [size=\"84203520\", alpha=\"0.06\", expect_size=\"25261056\"] \n  30 -> 31 [size =\"25261056\"]\n  31 [size=\"42547200\", alpha=\"0.03\", expect_size=\"12764160\"] \n  31 -> 32 [size =\"12764160\"]\n  32 [size=\"60661760\", alpha=\"0.13\", expect_size=\"18198528\"] \n  32 -> 33 [size =\"18198528\"]\n  33 [size=\"25391787\", alpha=\"0.13\", expect_size=\"7617536\"] \n  33 -> 34 [size =\"7617536\"]\n  34 [size=\"53230933\", alpha=\"0.06\", expect_size=\"15969280\"] \n  34 -> 35 [size =\"15969280\"]\n  35 [size=\"127699627\", alpha=\"0.16\", expect_size=\"38309888\"] \n  35 -> 36 [size =\"38309888\"]\n  36 [size=\"158518613\", alpha=\"0.03\", expect_size=\"47555584\"] \n  36 -> 37 [size =\"47555584\"]\n  37 [size=\"170697387\", alpha=\"0.04\", expect_size=\"51209216\"] \n  37 -> 38 [size =\"51209216\"]\n  38 [size=\"147189760\", alpha=\"0.12\", expect_size=\"44156928\"] \n  38 -> 39 [size =\"44156928\"]\n  39 [size=\"141438293\", alpha=\"0.12\", expect_size=\"42431488\"] \n  39 -> 40 [size =\"42431488\"]\n  40 [size=\"65955840\", alpha=\"0.14\", expect_size=\"19786752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126248960\", alpha=\"0.11\", expect_size=\"50499584\"] \n  1 -> 5 [size =\"50499584\"]\n  2 [size=\"20280320\", alpha=\"0.13\", expect_size=\"8112128\"] \n  2 -> 4 [size =\"8112128\"]\n  3 [size=\"30494720\", alpha=\"0.08\", expect_size=\"12197888\"] \n  3 -> 5 [size =\"12197888\"]\n  4 [size=\"32934400\", alpha=\"0.10\", expect_size=\"13173760\"] \n  4 -> 6 [size =\"13173760\"]\n  4 -> 7 [size =\"13173760\"]\n  5 [size=\"20500480\", alpha=\"0.04\", expect_size=\"8200192\"] \n  6 [size=\"70763520\", alpha=\"0.08\", expect_size=\"28305408\"] \n  6 -> 9 [size =\"28305408\"]\n  7 [size=\"75092480\", alpha=\"0.03\", expect_size=\"30036992\"] \n  7 -> 8 [size =\"30036992\"]\n  7 -> 9 [size =\"30036992\"]\n  8 [size=\"49134080\", alpha=\"0.06\", expect_size=\"19653632\"] \n  8 -> 10 [size =\"19653632\"]\n  9 [size=\"95951360\", alpha=\"0.10\", expect_size=\"38380544\"] \n  9 -> 10 [size =\"38380544\"]\n  9 -> 11 [size =\"38380544\"]\n  10 [size=\"92119040\", alpha=\"0.07\", expect_size=\"36847616\"] \n  10 -> 12 [size =\"36847616\"]\n  10 -> 13 [size =\"36847616\"]\n  11 [size=\"23513600\", alpha=\"0.18\", expect_size=\"9405440\"] \n  12 [size=\"86722560\", alpha=\"0.11\", expect_size=\"34689024\"] \n  12 -> 15 [size =\"34689024\"]\n  13 [size=\"45916160\", alpha=\"0.05\", expect_size=\"18366464\"] \n  13 -> 14 [size =\"18366464\"]\n  13 -> 15 [size =\"18366464\"]\n  13 -> 16 [size =\"18366464\"]\n  14 [size=\"90792960\", alpha=\"0.07\", expect_size=\"36317184\"] \n  14 -> 17 [size =\"36317184\"]\n  14 -> 19 [size =\"36317184\"]\n  15 [size=\"30824960\", alpha=\"0.11\", expect_size=\"12329984\"] \n  15 -> 17 [size =\"12329984\"]\n  15 -> 18 [size =\"12329984\"]\n  16 [size=\"57077760\", alpha=\"0.19\", expect_size=\"22831104\"] \n  16 -> 18 [size =\"22831104\"]\n  17 [size=\"102481920\", alpha=\"0.10\", expect_size=\"40992768\"] \n  17 -> 21 [size =\"40992768\"]\n  18 [size=\"120563200\", alpha=\"0.05\", expect_size=\"48225280\"] \n  19 [size=\"40158720\", alpha=\"0.01\", expect_size=\"16063488\"] \n  19 -> 20 [size =\"16063488\"]\n  20 [size=\"98790400\", alpha=\"0.11\", expect_size=\"39516160\"] \n  20 -> 22 [size =\"39516160\"]\n  20 -> 23 [size =\"39516160\"]\n  21 [size=\"24773120\", alpha=\"0.00\", expect_size=\"9909248\"] \n  21 -> 22 [size =\"9909248\"]\n  22 [size=\"14092800\", alpha=\"0.11\", expect_size=\"5637120\"] \n  22 -> 25 [size =\"5637120\"]\n  23 [size=\"78333440\", alpha=\"0.04\", expect_size=\"31333376\"] \n  23 -> 24 [size =\"31333376\"]\n  23 -> 25 [size =\"31333376\"]\n  24 [size=\"105738240\", alpha=\"0.01\", expect_size=\"42295296\"] \n  24 -> 27 [size =\"42295296\"]\n  25 [size=\"29253120\", alpha=\"0.18\", expect_size=\"11701248\"] \n  25 -> 26 [size =\"11701248\"]\n  26 [size=\"91499520\", alpha=\"0.06\", expect_size=\"36599808\"] \n  27 [size=\"87385600\", alpha=\"0.04\", expect_size=\"34954240\"] \n  27 -> 28 [size =\"34954240\"]\n  27 -> 29 [size =\"34954240\"]\n  28 [size=\"29094400\", alpha=\"0.09\", expect_size=\"11637760\"] \n  28 -> 30 [size =\"11637760\"]\n  28 -> 31 [size =\"11637760\"]\n  29 [size=\"60871680\", alpha=\"0.07\", expect_size=\"24348672\"] \n  29 -> 30 [size =\"24348672\"]\n  29 -> 32 [size =\"24348672\"]\n  30 [size=\"68154880\", alpha=\"0.19\", expect_size=\"27261952\"] \n  30 -> 33 [size =\"27261952\"]\n  30 -> 34 [size =\"27261952\"]\n  30 -> 35 [size =\"27261952\"]\n  31 [size=\"16035840\", alpha=\"0.12\", expect_size=\"6414336\"] \n  31 -> 34 [size =\"6414336\"]\n  32 [size=\"17658880\", alpha=\"0.18\", expect_size=\"7063552\"] \n  33 [size=\"80199680\", alpha=\"0.10\", expect_size=\"32079872\"] \n  33 -> 36 [size =\"32079872\"]\n  33 -> 38 [size =\"32079872\"]\n  34 [size=\"103078400\", alpha=\"0.14\", expect_size=\"41231360\"] \n  35 [size=\"106124800\", alpha=\"0.02\", expect_size=\"42449920\"] \n  35 -> 37 [size =\"42449920\"]\n  36 [size=\"96734720\", alpha=\"0.17\", expect_size=\"38693888\"] \n  36 -> 39 [size =\"38693888\"]\n  37 [size=\"14602240\", alpha=\"0.07\", expect_size=\"5840896\"] \n  37 -> 40 [size =\"5840896\"]\n  38 [size=\"39674880\", alpha=\"0.16\", expect_size=\"15869952\"] \n  39 [size=\"90014720\", alpha=\"0.09\", expect_size=\"36005888\"] \n  40 [size=\"130506240\", alpha=\"0.17\", expect_size=\"52202496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92841984\", alpha=\"0.08\", expect_size=\"46420992\"] \n  1 -> 31 [size =\"46420992\"]\n  1 -> 35 [size =\"46420992\"]\n  1 -> 36 [size =\"46420992\"]\n  1 -> 37 [size =\"46420992\"]\n  1 -> 40 [size =\"46420992\"]\n  2 [size=\"62576640\", alpha=\"0.08\", expect_size=\"31288320\"] \n  2 -> 31 [size =\"31288320\"]\n  2 -> 34 [size =\"31288320\"]\n  2 -> 38 [size =\"31288320\"]\n  3 [size=\"89966592\", alpha=\"0.08\", expect_size=\"44983296\"] \n  3 -> 28 [size =\"44983296\"]\n  3 -> 40 [size =\"44983296\"]\n  4 [size=\"91895808\", alpha=\"0.12\", expect_size=\"45947904\"] \n  4 -> 28 [size =\"45947904\"]\n  4 -> 34 [size =\"45947904\"]\n  4 -> 38 [size =\"45947904\"]\n  5 [size=\"29278208\", alpha=\"0.06\", expect_size=\"14639104\"] \n  5 -> 29 [size =\"14639104\"]\n  5 -> 36 [size =\"14639104\"]\n  6 [size=\"57831424\", alpha=\"0.07\", expect_size=\"28915712\"] \n  6 -> 27 [size =\"28915712\"]\n  6 -> 29 [size =\"28915712\"]\n  6 -> 30 [size =\"28915712\"]\n  6 -> 32 [size =\"28915712\"]\n  6 -> 35 [size =\"28915712\"]\n  6 -> 37 [size =\"28915712\"]\n  7 [size=\"78632960\", alpha=\"0.12\", expect_size=\"39316480\"] \n  7 -> 29 [size =\"39316480\"]\n  7 -> 30 [size =\"39316480\"]\n  7 -> 31 [size =\"39316480\"]\n  7 -> 33 [size =\"39316480\"]\n  7 -> 35 [size =\"39316480\"]\n  7 -> 37 [size =\"39316480\"]\n  7 -> 39 [size =\"39316480\"]\n  8 [size=\"96292864\", alpha=\"0.07\", expect_size=\"48146432\"] \n  8 -> 29 [size =\"48146432\"]\n  8 -> 34 [size =\"48146432\"]\n  8 -> 36 [size =\"48146432\"]\n  8 -> 38 [size =\"48146432\"]\n  8 -> 39 [size =\"48146432\"]\n  9 [size=\"20936704\", alpha=\"0.14\", expect_size=\"10468352\"] \n  9 -> 32 [size =\"10468352\"]\n  9 -> 36 [size =\"10468352\"]\n  9 -> 38 [size =\"10468352\"]\n  9 -> 39 [size =\"10468352\"]\n  10 [size=\"78211072\", alpha=\"0.03\", expect_size=\"39105536\"] \n  10 -> 27 [size =\"39105536\"]\n  10 -> 29 [size =\"39105536\"]\n  10 -> 31 [size =\"39105536\"]\n  10 -> 34 [size =\"39105536\"]\n  10 -> 36 [size =\"39105536\"]\n  10 -> 37 [size =\"39105536\"]\n  10 -> 38 [size =\"39105536\"]\n  11 [size=\"55289856\", alpha=\"0.09\", expect_size=\"27644928\"] \n  11 -> 31 [size =\"27644928\"]\n  11 -> 35 [size =\"27644928\"]\n  11 -> 37 [size =\"27644928\"]\n  11 -> 38 [size =\"27644928\"]\n  12 [size=\"94031872\", alpha=\"0.19\", expect_size=\"47015936\"] \n  12 -> 29 [size =\"47015936\"]\n  12 -> 35 [size =\"47015936\"]\n  13 [size=\"35221504\", alpha=\"0.06\", expect_size=\"17610752\"] \n  13 -> 29 [size =\"17610752\"]\n  13 -> 31 [size =\"17610752\"]\n  13 -> 34 [size =\"17610752\"]\n  14 [size=\"75223040\", alpha=\"0.06\", expect_size=\"37611520\"] \n  14 -> 27 [size =\"37611520\"]\n  14 -> 29 [size =\"37611520\"]\n  14 -> 30 [size =\"37611520\"]\n  14 -> 31 [size =\"37611520\"]\n  14 -> 32 [size =\"37611520\"]\n  14 -> 37 [size =\"37611520\"]\n  14 -> 38 [size =\"37611520\"]\n  15 [size=\"35651584\", alpha=\"0.12\", expect_size=\"17825792\"] \n  15 -> 27 [size =\"17825792\"]\n  15 -> 30 [size =\"17825792\"]\n  15 -> 31 [size =\"17825792\"]\n  15 -> 31 [size =\"17825792\"]\n  15 -> 32 [size =\"17825792\"]\n  15 -> 33 [size =\"17825792\"]\n  15 -> 36 [size =\"17825792\"]\n  15 -> 37 [size =\"17825792\"]\n  16 [size=\"63307776\", alpha=\"0.01\", expect_size=\"31653888\"] \n  16 -> 27 [size =\"31653888\"]\n  16 -> 29 [size =\"31653888\"]\n  16 -> 31 [size =\"31653888\"]\n  16 -> 38 [size =\"31653888\"]\n  17 [size=\"98519040\", alpha=\"0.16\", expect_size=\"49259520\"] \n  17 -> 27 [size =\"49259520\"]\n  17 -> 31 [size =\"49259520\"]\n  17 -> 31 [size =\"49259520\"]\n  17 -> 33 [size =\"49259520\"]\n  17 -> 37 [size =\"49259520\"]\n  18 [size=\"58507264\", alpha=\"0.19\", expect_size=\"29253632\"] \n  18 -> 27 [size =\"29253632\"]\n  18 -> 29 [size =\"29253632\"]\n  18 -> 32 [size =\"29253632\"]\n  18 -> 37 [size =\"29253632\"]\n  18 -> 37 [size =\"29253632\"]\n  18 -> 38 [size =\"29253632\"]\n  18 -> 39 [size =\"29253632\"]\n  19 [size=\"92340224\", alpha=\"0.00\", expect_size=\"46170112\"] \n  19 -> 27 [size =\"46170112\"]\n  19 -> 29 [size =\"46170112\"]\n  19 -> 30 [size =\"46170112\"]\n  19 -> 34 [size =\"46170112\"]\n  19 -> 38 [size =\"46170112\"]\n  20 [size=\"64028672\", alpha=\"0.09\", expect_size=\"32014336\"] \n  20 -> 28 [size =\"32014336\"]\n  20 -> 33 [size =\"32014336\"]\n  20 -> 34 [size =\"32014336\"]\n  20 -> 36 [size =\"32014336\"]\n  20 -> 38 [size =\"32014336\"]\n  21 [size=\"78399488\", alpha=\"0.15\", expect_size=\"39199744\"] \n  21 -> 29 [size =\"39199744\"]\n  21 -> 33 [size =\"39199744\"]\n  21 -> 34 [size =\"39199744\"]\n  21 -> 36 [size =\"39199744\"]\n  21 -> 38 [size =\"39199744\"]\n  22 [size=\"27473920\", alpha=\"0.12\", expect_size=\"13736960\"] \n  22 -> 27 [size =\"13736960\"]\n  22 -> 29 [size =\"13736960\"]\n  22 -> 32 [size =\"13736960\"]\n  22 -> 34 [size =\"13736960\"]\n  22 -> 37 [size =\"13736960\"]\n  23 [size=\"23459840\", alpha=\"0.06\", expect_size=\"11729920\"] \n  23 -> 34 [size =\"11729920\"]\n  24 [size=\"51777536\", alpha=\"0.18\", expect_size=\"25888768\"] \n  24 -> 30 [size =\"25888768\"]\n  24 -> 31 [size =\"25888768\"]\n  24 -> 32 [size =\"25888768\"]\n  24 -> 34 [size =\"25888768\"]\n  24 -> 35 [size =\"25888768\"]\n  24 -> 36 [size =\"25888768\"]\n  24 -> 38 [size =\"25888768\"]\n  25 [size=\"79247360\", alpha=\"0.13\", expect_size=\"39623680\"] \n  25 -> 34 [size =\"39623680\"]\n  25 -> 35 [size =\"39623680\"]\n  25 -> 36 [size =\"39623680\"]\n  25 -> 37 [size =\"39623680\"]\n  25 -> 39 [size =\"39623680\"]\n  26 [size=\"41281536\", alpha=\"0.18\", expect_size=\"20640768\"] \n  26 -> 27 [size =\"20640768\"]\n  26 -> 31 [size =\"20640768\"]\n  26 -> 34 [size =\"20640768\"]\n  26 -> 35 [size =\"20640768\"]\n  26 -> 37 [size =\"20640768\"]\n  27 [size=\"44632064\", alpha=\"0.18\", expect_size=\"22316032\"] \n  28 [size=\"25421824\", alpha=\"0.16\", expect_size=\"12710912\"] \n  29 [size=\"22065152\", alpha=\"0.16\", expect_size=\"11032576\"] \n  30 [size=\"22067200\", alpha=\"0.11\", expect_size=\"11033600\"] \n  31 [size=\"63449088\", alpha=\"0.15\", expect_size=\"31724544\"] \n  32 [size=\"39823360\", alpha=\"0.17\", expect_size=\"19911680\"] \n  33 [size=\"97654784\", alpha=\"0.04\", expect_size=\"48827392\"] \n  34 [size=\"33310720\", alpha=\"0.05\", expect_size=\"16655360\"] \n  35 [size=\"22571008\", alpha=\"0.11\", expect_size=\"11285504\"] \n  36 [size=\"84232192\", alpha=\"0.08\", expect_size=\"42116096\"] \n  37 [size=\"76898304\", alpha=\"0.04\", expect_size=\"38449152\"] \n  38 [size=\"68714496\", alpha=\"0.10\", expect_size=\"34357248\"] \n  39 [size=\"51122176\", alpha=\"0.13\", expect_size=\"25561088\"] \n  40 [size=\"34568192\", alpha=\"0.08\", expect_size=\"17284096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55142400\", alpha=\"0.05\", expect_size=\"27571200\"] \n  1 -> 23 [size =\"27571200\"]\n  1 -> 24 [size =\"27571200\"]\n  1 -> 26 [size =\"27571200\"]\n  1 -> 27 [size =\"27571200\"]\n  1 -> 32 [size =\"27571200\"]\n  1 -> 40 [size =\"27571200\"]\n  2 [size=\"103714816\", alpha=\"0.19\", expect_size=\"51857408\"] \n  2 -> 18 [size =\"51857408\"]\n  2 -> 21 [size =\"51857408\"]\n  2 -> 23 [size =\"51857408\"]\n  2 -> 24 [size =\"51857408\"]\n  2 -> 26 [size =\"51857408\"]\n  2 -> 30 [size =\"51857408\"]\n  2 -> 36 [size =\"51857408\"]\n  2 -> 38 [size =\"51857408\"]\n  2 -> 39 [size =\"51857408\"]\n  3 [size=\"52606976\", alpha=\"0.09\", expect_size=\"26303488\"] \n  3 -> 18 [size =\"26303488\"]\n  3 -> 19 [size =\"26303488\"]\n  3 -> 20 [size =\"26303488\"]\n  3 -> 21 [size =\"26303488\"]\n  3 -> 30 [size =\"26303488\"]\n  3 -> 31 [size =\"26303488\"]\n  3 -> 34 [size =\"26303488\"]\n  3 -> 36 [size =\"26303488\"]\n  3 -> 37 [size =\"26303488\"]\n  3 -> 38 [size =\"26303488\"]\n  4 [size=\"27314176\", alpha=\"0.04\", expect_size=\"13657088\"] \n  4 -> 19 [size =\"13657088\"]\n  4 -> 20 [size =\"13657088\"]\n  4 -> 21 [size =\"13657088\"]\n  4 -> 24 [size =\"13657088\"]\n  4 -> 30 [size =\"13657088\"]\n  4 -> 38 [size =\"13657088\"]\n  5 [size=\"73971712\", alpha=\"0.03\", expect_size=\"36985856\"] \n  5 -> 18 [size =\"36985856\"]\n  5 -> 19 [size =\"36985856\"]\n  5 -> 21 [size =\"36985856\"]\n  5 -> 22 [size =\"36985856\"]\n  5 -> 23 [size =\"36985856\"]\n  5 -> 24 [size =\"36985856\"]\n  5 -> 26 [size =\"36985856\"]\n  5 -> 30 [size =\"36985856\"]\n  6 [size=\"12269568\", alpha=\"0.14\", expect_size=\"6134784\"] \n  6 -> 20 [size =\"6134784\"]\n  6 -> 22 [size =\"6134784\"]\n  6 -> 26 [size =\"6134784\"]\n  6 -> 28 [size =\"6134784\"]\n  6 -> 32 [size =\"6134784\"]\n  6 -> 40 [size =\"6134784\"]\n  7 [size=\"91033600\", alpha=\"0.19\", expect_size=\"45516800\"] \n  7 -> 19 [size =\"45516800\"]\n  7 -> 20 [size =\"45516800\"]\n  7 -> 22 [size =\"45516800\"]\n  7 -> 24 [size =\"45516800\"]\n  7 -> 27 [size =\"45516800\"]\n  7 -> 30 [size =\"45516800\"]\n  7 -> 38 [size =\"45516800\"]\n  7 -> 39 [size =\"45516800\"]\n  7 -> 40 [size =\"45516800\"]\n  8 [size=\"23308288\", alpha=\"0.06\", expect_size=\"11654144\"] \n  8 -> 18 [size =\"11654144\"]\n  8 -> 19 [size =\"11654144\"]\n  8 -> 21 [size =\"11654144\"]\n  8 -> 22 [size =\"11654144\"]\n  8 -> 24 [size =\"11654144\"]\n  8 -> 38 [size =\"11654144\"]\n  8 -> 40 [size =\"11654144\"]\n  9 [size=\"11620352\", alpha=\"0.07\", expect_size=\"5810176\"] \n  9 -> 19 [size =\"5810176\"]\n  9 -> 20 [size =\"5810176\"]\n  9 -> 21 [size =\"5810176\"]\n  9 -> 22 [size =\"5810176\"]\n  9 -> 23 [size =\"5810176\"]\n  9 -> 26 [size =\"5810176\"]\n  9 -> 28 [size =\"5810176\"]\n  10 [size=\"41066496\", alpha=\"0.11\", expect_size=\"20533248\"] \n  10 -> 20 [size =\"20533248\"]\n  10 -> 20 [size =\"20533248\"]\n  10 -> 21 [size =\"20533248\"]\n  10 -> 22 [size =\"20533248\"]\n  10 -> 24 [size =\"20533248\"]\n  10 -> 25 [size =\"20533248\"]\n  10 -> 26 [size =\"20533248\"]\n  10 -> 28 [size =\"20533248\"]\n  10 -> 30 [size =\"20533248\"]\n  10 -> 33 [size =\"20533248\"]\n  10 -> 40 [size =\"20533248\"]\n  11 [size=\"95782912\", alpha=\"0.10\", expect_size=\"47891456\"] \n  11 -> 18 [size =\"47891456\"]\n  11 -> 20 [size =\"47891456\"]\n  11 -> 21 [size =\"47891456\"]\n  11 -> 22 [size =\"47891456\"]\n  11 -> 25 [size =\"47891456\"]\n  11 -> 26 [size =\"47891456\"]\n  11 -> 27 [size =\"47891456\"]\n  11 -> 30 [size =\"47891456\"]\n  11 -> 30 [size =\"47891456\"]\n  11 -> 35 [size =\"47891456\"]\n  11 -> 40 [size =\"47891456\"]\n  12 [size=\"27320320\", alpha=\"0.04\", expect_size=\"13660160\"] \n  12 -> 18 [size =\"13660160\"]\n  12 -> 20 [size =\"13660160\"]\n  12 -> 26 [size =\"13660160\"]\n  12 -> 27 [size =\"13660160\"]\n  12 -> 29 [size =\"13660160\"]\n  12 -> 30 [size =\"13660160\"]\n  12 -> 31 [size =\"13660160\"]\n  12 -> 36 [size =\"13660160\"]\n  12 -> 38 [size =\"13660160\"]\n  13 [size=\"23758848\", alpha=\"0.04\", expect_size=\"11879424\"] \n  13 -> 18 [size =\"11879424\"]\n  13 -> 20 [size =\"11879424\"]\n  13 -> 22 [size =\"11879424\"]\n  13 -> 26 [size =\"11879424\"]\n  13 -> 27 [size =\"11879424\"]\n  13 -> 28 [size =\"11879424\"]\n  13 -> 30 [size =\"11879424\"]\n  13 -> 38 [size =\"11879424\"]\n  14 [size=\"65046528\", alpha=\"0.10\", expect_size=\"32523264\"] \n  14 -> 18 [size =\"32523264\"]\n  14 -> 19 [size =\"32523264\"]\n  14 -> 20 [size =\"32523264\"]\n  14 -> 27 [size =\"32523264\"]\n  14 -> 29 [size =\"32523264\"]\n  14 -> 34 [size =\"32523264\"]\n  14 -> 39 [size =\"32523264\"]\n  14 -> 40 [size =\"32523264\"]\n  15 [size=\"81850368\", alpha=\"0.04\", expect_size=\"40925184\"] \n  15 -> 19 [size =\"40925184\"]\n  15 -> 20 [size =\"40925184\"]\n  15 -> 22 [size =\"40925184\"]\n  15 -> 24 [size =\"40925184\"]\n  15 -> 26 [size =\"40925184\"]\n  15 -> 31 [size =\"40925184\"]\n  15 -> 32 [size =\"40925184\"]\n  15 -> 34 [size =\"40925184\"]\n  15 -> 38 [size =\"40925184\"]\n  15 -> 39 [size =\"40925184\"]\n  15 -> 40 [size =\"40925184\"]\n  16 [size=\"95928320\", alpha=\"0.11\", expect_size=\"47964160\"] \n  16 -> 21 [size =\"47964160\"]\n  16 -> 22 [size =\"47964160\"]\n  16 -> 25 [size =\"47964160\"]\n  16 -> 26 [size =\"47964160\"]\n  16 -> 31 [size =\"47964160\"]\n  16 -> 37 [size =\"47964160\"]\n  16 -> 38 [size =\"47964160\"]\n  16 -> 39 [size =\"47964160\"]\n  16 -> 40 [size =\"47964160\"]\n  17 [size=\"66537472\", alpha=\"0.08\", expect_size=\"33268736\"] \n  17 -> 24 [size =\"33268736\"]\n  17 -> 25 [size =\"33268736\"]\n  17 -> 26 [size =\"33268736\"]\n  17 -> 30 [size =\"33268736\"]\n  17 -> 33 [size =\"33268736\"]\n  17 -> 38 [size =\"33268736\"]\n  17 -> 39 [size =\"33268736\"]\n  17 -> 40 [size =\"33268736\"]\n  18 [size=\"63897600\", alpha=\"0.20\", expect_size=\"31948800\"] \n  19 [size=\"92760064\", alpha=\"0.18\", expect_size=\"46380032\"] \n  20 [size=\"33468416\", alpha=\"0.11\", expect_size=\"16734208\"] \n  21 [size=\"84254720\", alpha=\"0.14\", expect_size=\"42127360\"] \n  22 [size=\"35489792\", alpha=\"0.16\", expect_size=\"17744896\"] \n  23 [size=\"54220800\", alpha=\"0.07\", expect_size=\"27110400\"] \n  24 [size=\"73617408\", alpha=\"0.02\", expect_size=\"36808704\"] \n  25 [size=\"25782272\", alpha=\"0.10\", expect_size=\"12891136\"] \n  26 [size=\"45744128\", alpha=\"0.18\", expect_size=\"22872064\"] \n  27 [size=\"95436800\", alpha=\"0.04\", expect_size=\"47718400\"] \n  28 [size=\"37369856\", alpha=\"0.12\", expect_size=\"18684928\"] \n  29 [size=\"37175296\", alpha=\"0.01\", expect_size=\"18587648\"] \n  30 [size=\"28438528\", alpha=\"0.16\", expect_size=\"14219264\"] \n  31 [size=\"80992256\", alpha=\"0.09\", expect_size=\"40496128\"] \n  32 [size=\"50751488\", alpha=\"0.06\", expect_size=\"25375744\"] \n  33 [size=\"30943232\", alpha=\"0.05\", expect_size=\"15471616\"] \n  34 [size=\"63692800\", alpha=\"0.16\", expect_size=\"31846400\"] \n  35 [size=\"71454720\", alpha=\"0.02\", expect_size=\"35727360\"] \n  36 [size=\"23345152\", alpha=\"0.07\", expect_size=\"11672576\"] \n  37 [size=\"15519744\", alpha=\"0.03\", expect_size=\"7759872\"] \n  38 [size=\"34156544\", alpha=\"0.10\", expect_size=\"17078272\"] \n  39 [size=\"92076032\", alpha=\"0.15\", expect_size=\"46038016\"] \n  40 [size=\"96045056\", alpha=\"0.05\", expect_size=\"48022528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29385387\", alpha=\"0.13\", expect_size=\"8815616\"] \n  1 -> 31 [size =\"8815616\"]\n  1 -> 38 [size =\"8815616\"]\n  1 -> 39 [size =\"8815616\"]\n  1 -> 40 [size =\"8815616\"]\n  2 [size=\"163150507\", alpha=\"0.01\", expect_size=\"48945152\"] \n  2 -> 28 [size =\"48945152\"]\n  2 -> 30 [size =\"48945152\"]\n  2 -> 40 [size =\"48945152\"]\n  3 [size=\"104499200\", alpha=\"0.09\", expect_size=\"31349760\"] \n  3 -> 26 [size =\"31349760\"]\n  3 -> 29 [size =\"31349760\"]\n  3 -> 30 [size =\"31349760\"]\n  3 -> 31 [size =\"31349760\"]\n  3 -> 32 [size =\"31349760\"]\n  3 -> 34 [size =\"31349760\"]\n  3 -> 39 [size =\"31349760\"]\n  3 -> 40 [size =\"31349760\"]\n  4 [size=\"174325760\", alpha=\"0.16\", expect_size=\"52297728\"] \n  4 -> 26 [size =\"52297728\"]\n  4 -> 27 [size =\"52297728\"]\n  4 -> 30 [size =\"52297728\"]\n  4 -> 34 [size =\"52297728\"]\n  4 -> 35 [size =\"52297728\"]\n  4 -> 36 [size =\"52297728\"]\n  5 [size=\"41076053\", alpha=\"0.10\", expect_size=\"12322816\"] \n  5 -> 26 [size =\"12322816\"]\n  5 -> 29 [size =\"12322816\"]\n  5 -> 30 [size =\"12322816\"]\n  5 -> 34 [size =\"12322816\"]\n  5 -> 35 [size =\"12322816\"]\n  5 -> 39 [size =\"12322816\"]\n  5 -> 40 [size =\"12322816\"]\n  6 [size=\"102464853\", alpha=\"0.00\", expect_size=\"30739456\"] \n  6 -> 28 [size =\"30739456\"]\n  6 -> 30 [size =\"30739456\"]\n  6 -> 32 [size =\"30739456\"]\n  6 -> 34 [size =\"30739456\"]\n  6 -> 38 [size =\"30739456\"]\n  6 -> 39 [size =\"30739456\"]\n  7 [size=\"94498133\", alpha=\"0.07\", expect_size=\"28349440\"] \n  7 -> 29 [size =\"28349440\"]\n  7 -> 30 [size =\"28349440\"]\n  7 -> 31 [size =\"28349440\"]\n  7 -> 34 [size =\"28349440\"]\n  7 -> 35 [size =\"28349440\"]\n  7 -> 36 [size =\"28349440\"]\n  7 -> 38 [size =\"28349440\"]\n  7 -> 40 [size =\"28349440\"]\n  8 [size=\"153975467\", alpha=\"0.05\", expect_size=\"46192640\"] \n  8 -> 27 [size =\"46192640\"]\n  8 -> 28 [size =\"46192640\"]\n  8 -> 29 [size =\"46192640\"]\n  8 -> 31 [size =\"46192640\"]\n  8 -> 32 [size =\"46192640\"]\n  8 -> 33 [size =\"46192640\"]\n  8 -> 34 [size =\"46192640\"]\n  8 -> 35 [size =\"46192640\"]\n  8 -> 37 [size =\"46192640\"]\n  8 -> 40 [size =\"46192640\"]\n  9 [size=\"162054827\", alpha=\"0.01\", expect_size=\"48616448\"] \n  9 -> 27 [size =\"48616448\"]\n  9 -> 28 [size =\"48616448\"]\n  9 -> 29 [size =\"48616448\"]\n  9 -> 30 [size =\"48616448\"]\n  9 -> 32 [size =\"48616448\"]\n  9 -> 38 [size =\"48616448\"]\n  9 -> 40 [size =\"48616448\"]\n  10 [size=\"164836693\", alpha=\"0.08\", expect_size=\"49451008\"] \n  10 -> 27 [size =\"49451008\"]\n  10 -> 28 [size =\"49451008\"]\n  10 -> 29 [size =\"49451008\"]\n  10 -> 30 [size =\"49451008\"]\n  10 -> 32 [size =\"49451008\"]\n  10 -> 35 [size =\"49451008\"]\n  10 -> 38 [size =\"49451008\"]\n  10 -> 40 [size =\"49451008\"]\n  11 [size=\"70939307\", alpha=\"0.10\", expect_size=\"21281792\"] \n  11 -> 26 [size =\"21281792\"]\n  11 -> 27 [size =\"21281792\"]\n  11 -> 28 [size =\"21281792\"]\n  11 -> 29 [size =\"21281792\"]\n  11 -> 34 [size =\"21281792\"]\n  11 -> 35 [size =\"21281792\"]\n  11 -> 36 [size =\"21281792\"]\n  11 -> 38 [size =\"21281792\"]\n  11 -> 39 [size =\"21281792\"]\n  11 -> 40 [size =\"21281792\"]\n  12 [size=\"171465387\", alpha=\"0.19\", expect_size=\"51439616\"] \n  12 -> 27 [size =\"51439616\"]\n  12 -> 27 [size =\"51439616\"]\n  12 -> 29 [size =\"51439616\"]\n  12 -> 29 [size =\"51439616\"]\n  12 -> 30 [size =\"51439616\"]\n  12 -> 34 [size =\"51439616\"]\n  12 -> 35 [size =\"51439616\"]\n  12 -> 36 [size =\"51439616\"]\n  12 -> 38 [size =\"51439616\"]\n  12 -> 39 [size =\"51439616\"]\n  12 -> 40 [size =\"51439616\"]\n  13 [size=\"21760000\", alpha=\"0.02\", expect_size=\"6528000\"] \n  13 -> 27 [size =\"6528000\"]\n  13 -> 28 [size =\"6528000\"]\n  13 -> 29 [size =\"6528000\"]\n  13 -> 31 [size =\"6528000\"]\n  13 -> 34 [size =\"6528000\"]\n  13 -> 34 [size =\"6528000\"]\n  13 -> 36 [size =\"6528000\"]\n  13 -> 38 [size =\"6528000\"]\n  13 -> 38 [size =\"6528000\"]\n  13 -> 39 [size =\"6528000\"]\n  13 -> 40 [size =\"6528000\"]\n  14 [size=\"92788053\", alpha=\"0.04\", expect_size=\"27836416\"] \n  14 -> 27 [size =\"27836416\"]\n  14 -> 30 [size =\"27836416\"]\n  14 -> 31 [size =\"27836416\"]\n  14 -> 32 [size =\"27836416\"]\n  14 -> 34 [size =\"27836416\"]\n  14 -> 35 [size =\"27836416\"]\n  14 -> 36 [size =\"27836416\"]\n  14 -> 38 [size =\"27836416\"]\n  14 -> 39 [size =\"27836416\"]\n  14 -> 39 [size =\"27836416\"]\n  14 -> 40 [size =\"27836416\"]\n  15 [size=\"57541973\", alpha=\"0.17\", expect_size=\"17262592\"] \n  15 -> 27 [size =\"17262592\"]\n  15 -> 29 [size =\"17262592\"]\n  15 -> 30 [size =\"17262592\"]\n  15 -> 31 [size =\"17262592\"]\n  15 -> 34 [size =\"17262592\"]\n  15 -> 35 [size =\"17262592\"]\n  15 -> 36 [size =\"17262592\"]\n  16 [size=\"137079467\", alpha=\"0.01\", expect_size=\"41123840\"] \n  16 -> 27 [size =\"41123840\"]\n  16 -> 28 [size =\"41123840\"]\n  16 -> 30 [size =\"41123840\"]\n  16 -> 32 [size =\"41123840\"]\n  16 -> 35 [size =\"41123840\"]\n  16 -> 36 [size =\"41123840\"]\n  17 [size=\"137768960\", alpha=\"0.10\", expect_size=\"41330688\"] \n  17 -> 27 [size =\"41330688\"]\n  17 -> 28 [size =\"41330688\"]\n  17 -> 32 [size =\"41330688\"]\n  17 -> 35 [size =\"41330688\"]\n  17 -> 36 [size =\"41330688\"]\n  17 -> 38 [size =\"41330688\"]\n  17 -> 39 [size =\"41330688\"]\n  18 [size=\"38434133\", alpha=\"0.01\", expect_size=\"11530240\"] \n  18 -> 26 [size =\"11530240\"]\n  18 -> 28 [size =\"11530240\"]\n  18 -> 29 [size =\"11530240\"]\n  18 -> 30 [size =\"11530240\"]\n  18 -> 31 [size =\"11530240\"]\n  18 -> 35 [size =\"11530240\"]\n  18 -> 38 [size =\"11530240\"]\n  19 [size=\"78329173\", alpha=\"0.07\", expect_size=\"23498752\"] \n  19 -> 27 [size =\"23498752\"]\n  19 -> 29 [size =\"23498752\"]\n  19 -> 34 [size =\"23498752\"]\n  19 -> 36 [size =\"23498752\"]\n  19 -> 37 [size =\"23498752\"]\n  19 -> 38 [size =\"23498752\"]\n  20 [size=\"85258240\", alpha=\"0.04\", expect_size=\"25577472\"] \n  20 -> 27 [size =\"25577472\"]\n  20 -> 28 [size =\"25577472\"]\n  20 -> 30 [size =\"25577472\"]\n  20 -> 31 [size =\"25577472\"]\n  20 -> 34 [size =\"25577472\"]\n  20 -> 38 [size =\"25577472\"]\n  21 [size=\"152101547\", alpha=\"0.03\", expect_size=\"45630464\"] \n  21 -> 27 [size =\"45630464\"]\n  21 -> 28 [size =\"45630464\"]\n  21 -> 29 [size =\"45630464\"]\n  21 -> 30 [size =\"45630464\"]\n  21 -> 31 [size =\"45630464\"]\n  21 -> 34 [size =\"45630464\"]\n  21 -> 35 [size =\"45630464\"]\n  21 -> 36 [size =\"45630464\"]\n  21 -> 38 [size =\"45630464\"]\n  21 -> 40 [size =\"45630464\"]\n  22 [size=\"74649600\", alpha=\"0.00\", expect_size=\"22394880\"] \n  22 -> 29 [size =\"22394880\"]\n  22 -> 31 [size =\"22394880\"]\n  22 -> 36 [size =\"22394880\"]\n  22 -> 39 [size =\"22394880\"]\n  23 [size=\"65460907\", alpha=\"0.09\", expect_size=\"19638272\"] \n  23 -> 27 [size =\"19638272\"]\n  23 -> 28 [size =\"19638272\"]\n  23 -> 29 [size =\"19638272\"]\n  23 -> 31 [size =\"19638272\"]\n  23 -> 35 [size =\"19638272\"]\n  23 -> 37 [size =\"19638272\"]\n  23 -> 39 [size =\"19638272\"]\n  24 [size=\"83418453\", alpha=\"0.17\", expect_size=\"25025536\"] \n  24 -> 27 [size =\"25025536\"]\n  24 -> 28 [size =\"25025536\"]\n  24 -> 29 [size =\"25025536\"]\n  24 -> 36 [size =\"25025536\"]\n  24 -> 38 [size =\"25025536\"]\n  24 -> 39 [size =\"25025536\"]\n  24 -> 40 [size =\"25025536\"]\n  25 [size=\"114845013\", alpha=\"0.09\", expect_size=\"34453504\"] \n  25 -> 29 [size =\"34453504\"]\n  25 -> 35 [size =\"34453504\"]\n  25 -> 38 [size =\"34453504\"]\n  25 -> 39 [size =\"34453504\"]\n  25 -> 40 [size =\"34453504\"]\n  26 [size=\"88432640\", alpha=\"0.11\", expect_size=\"26529792\"] \n  27 [size=\"92699307\", alpha=\"0.03\", expect_size=\"27809792\"] \n  28 [size=\"169161387\", alpha=\"0.12\", expect_size=\"50748416\"] \n  29 [size=\"19664213\", alpha=\"0.00\", expect_size=\"5899264\"] \n  30 [size=\"73000960\", alpha=\"0.07\", expect_size=\"21900288\"] \n  31 [size=\"105639253\", alpha=\"0.20\", expect_size=\"31691776\"] \n  32 [size=\"129491627\", alpha=\"0.13\", expect_size=\"38847488\"] \n  33 [size=\"132945920\", alpha=\"0.06\", expect_size=\"39883776\"] \n  34 [size=\"45745493\", alpha=\"0.09\", expect_size=\"13723648\"] \n  35 [size=\"24736427\", alpha=\"0.17\", expect_size=\"7420928\"] \n  36 [size=\"93525333\", alpha=\"0.01\", expect_size=\"28057600\"] \n  37 [size=\"22528000\", alpha=\"0.19\", expect_size=\"6758400\"] \n  38 [size=\"46052693\", alpha=\"0.00\", expect_size=\"13815808\"] \n  39 [size=\"143315627\", alpha=\"0.09\", expect_size=\"42994688\"] \n  40 [size=\"144322560\", alpha=\"0.07\", expect_size=\"43296768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60450816\", alpha=\"0.12\", expect_size=\"30225408\"] \n  1 -> 2 [size =\"30225408\"]\n  2 [size=\"96819200\", alpha=\"0.05\", expect_size=\"48409600\"] \n  2 -> 3 [size =\"48409600\"]\n  3 [size=\"101367808\", alpha=\"0.06\", expect_size=\"50683904\"] \n  3 -> 4 [size =\"50683904\"]\n  4 [size=\"61523968\", alpha=\"0.09\", expect_size=\"30761984\"] \n  4 -> 5 [size =\"30761984\"]\n  5 [size=\"20303872\", alpha=\"0.01\", expect_size=\"10151936\"] \n  5 -> 6 [size =\"10151936\"]\n  6 [size=\"21979136\", alpha=\"0.08\", expect_size=\"10989568\"] \n  6 -> 7 [size =\"10989568\"]\n  7 [size=\"38488064\", alpha=\"0.09\", expect_size=\"19244032\"] \n  7 -> 8 [size =\"19244032\"]\n  8 [size=\"94529536\", alpha=\"0.14\", expect_size=\"47264768\"] \n  8 -> 9 [size =\"47264768\"]\n  9 [size=\"25976832\", alpha=\"0.10\", expect_size=\"12988416\"] \n  9 -> 10 [size =\"12988416\"]\n  10 [size=\"39174144\", alpha=\"0.19\", expect_size=\"19587072\"] \n  10 -> 11 [size =\"19587072\"]\n  11 [size=\"20504576\", alpha=\"0.06\", expect_size=\"10252288\"] \n  11 -> 12 [size =\"10252288\"]\n  12 [size=\"79091712\", alpha=\"0.12\", expect_size=\"39545856\"] \n  12 -> 13 [size =\"39545856\"]\n  13 [size=\"102791168\", alpha=\"0.04\", expect_size=\"51395584\"] \n  13 -> 14 [size =\"51395584\"]\n  14 [size=\"38270976\", alpha=\"0.03\", expect_size=\"19135488\"] \n  14 -> 15 [size =\"19135488\"]\n  15 [size=\"80377856\", alpha=\"0.18\", expect_size=\"40188928\"] \n  15 -> 16 [size =\"40188928\"]\n  16 [size=\"85151744\", alpha=\"0.06\", expect_size=\"42575872\"] \n  16 -> 17 [size =\"42575872\"]\n  17 [size=\"26859520\", alpha=\"0.19\", expect_size=\"13429760\"] \n  17 -> 18 [size =\"13429760\"]\n  18 [size=\"68212736\", alpha=\"0.08\", expect_size=\"34106368\"] \n  18 -> 19 [size =\"34106368\"]\n  19 [size=\"41904128\", alpha=\"0.08\", expect_size=\"20952064\"] \n  19 -> 20 [size =\"20952064\"]\n  20 [size=\"89933824\", alpha=\"0.12\", expect_size=\"44966912\"] \n  20 -> 21 [size =\"44966912\"]\n  21 [size=\"83507200\", alpha=\"0.06\", expect_size=\"41753600\"] \n  21 -> 22 [size =\"41753600\"]\n  22 [size=\"19507200\", alpha=\"0.18\", expect_size=\"9753600\"] \n  22 -> 23 [size =\"9753600\"]\n  23 [size=\"74895360\", alpha=\"0.10\", expect_size=\"37447680\"] \n  23 -> 24 [size =\"37447680\"]\n  24 [size=\"95262720\", alpha=\"0.13\", expect_size=\"47631360\"] \n  24 -> 25 [size =\"47631360\"]\n  25 [size=\"16631808\", alpha=\"0.18\", expect_size=\"8315904\"] \n  25 -> 26 [size =\"8315904\"]\n  26 [size=\"100130816\", alpha=\"0.05\", expect_size=\"50065408\"] \n  26 -> 27 [size =\"50065408\"]\n  27 [size=\"34709504\", alpha=\"0.18\", expect_size=\"17354752\"] \n  27 -> 28 [size =\"17354752\"]\n  28 [size=\"29816832\", alpha=\"0.09\", expect_size=\"14908416\"] \n  28 -> 29 [size =\"14908416\"]\n  29 [size=\"68028416\", alpha=\"0.03\", expect_size=\"34014208\"] \n  29 -> 30 [size =\"34014208\"]\n  30 [size=\"11210752\", alpha=\"0.03\", expect_size=\"5605376\"] \n  30 -> 31 [size =\"5605376\"]\n  31 [size=\"66045952\", alpha=\"0.05\", expect_size=\"33022976\"] \n  31 -> 32 [size =\"33022976\"]\n  32 [size=\"93755392\", alpha=\"0.02\", expect_size=\"46877696\"] \n  32 -> 33 [size =\"46877696\"]\n  33 [size=\"86302720\", alpha=\"0.19\", expect_size=\"43151360\"] \n  33 -> 34 [size =\"43151360\"]\n  34 [size=\"40198144\", alpha=\"0.01\", expect_size=\"20099072\"] \n  34 -> 35 [size =\"20099072\"]\n  35 [size=\"100851712\", alpha=\"0.18\", expect_size=\"50425856\"] \n  35 -> 36 [size =\"50425856\"]\n  36 [size=\"89344000\", alpha=\"0.11\", expect_size=\"44672000\"] \n  36 -> 37 [size =\"44672000\"]\n  37 [size=\"17164288\", alpha=\"0.08\", expect_size=\"8582144\"] \n  37 -> 38 [size =\"8582144\"]\n  38 [size=\"101060608\", alpha=\"0.17\", expect_size=\"50530304\"] \n  38 -> 39 [size =\"50530304\"]\n  39 [size=\"47595520\", alpha=\"0.12\", expect_size=\"23797760\"] \n  39 -> 40 [size =\"23797760\"]\n  40 [size=\"60999680\", alpha=\"0.04\", expect_size=\"30499840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141339307\", alpha=\"0.17\", expect_size=\"42401792\"] \n  1 -> 27 [size =\"42401792\"]\n  1 -> 29 [size =\"42401792\"]\n  1 -> 31 [size =\"42401792\"]\n  1 -> 38 [size =\"42401792\"]\n  1 -> 39 [size =\"42401792\"]\n  1 -> 40 [size =\"42401792\"]\n  2 [size=\"145008640\", alpha=\"0.15\", expect_size=\"43502592\"] \n  2 -> 28 [size =\"43502592\"]\n  2 -> 31 [size =\"43502592\"]\n  2 -> 33 [size =\"43502592\"]\n  2 -> 36 [size =\"43502592\"]\n  2 -> 37 [size =\"43502592\"]\n  2 -> 38 [size =\"43502592\"]\n  3 [size=\"61006507\", alpha=\"0.20\", expect_size=\"18301952\"] \n  3 -> 28 [size =\"18301952\"]\n  3 -> 33 [size =\"18301952\"]\n  3 -> 34 [size =\"18301952\"]\n  3 -> 35 [size =\"18301952\"]\n  3 -> 37 [size =\"18301952\"]\n  4 [size=\"40516267\", alpha=\"0.20\", expect_size=\"12154880\"] \n  4 -> 29 [size =\"12154880\"]\n  4 -> 33 [size =\"12154880\"]\n  4 -> 35 [size =\"12154880\"]\n  4 -> 37 [size =\"12154880\"]\n  5 [size=\"114718720\", alpha=\"0.15\", expect_size=\"34415616\"] \n  5 -> 28 [size =\"34415616\"]\n  5 -> 29 [size =\"34415616\"]\n  5 -> 31 [size =\"34415616\"]\n  5 -> 32 [size =\"34415616\"]\n  5 -> 33 [size =\"34415616\"]\n  5 -> 34 [size =\"34415616\"]\n  5 -> 35 [size =\"34415616\"]\n  5 -> 39 [size =\"34415616\"]\n  5 -> 40 [size =\"34415616\"]\n  6 [size=\"33085440\", alpha=\"0.13\", expect_size=\"9925632\"] \n  6 -> 27 [size =\"9925632\"]\n  6 -> 28 [size =\"9925632\"]\n  6 -> 29 [size =\"9925632\"]\n  6 -> 30 [size =\"9925632\"]\n  6 -> 31 [size =\"9925632\"]\n  6 -> 33 [size =\"9925632\"]\n  6 -> 34 [size =\"9925632\"]\n  6 -> 37 [size =\"9925632\"]\n  6 -> 39 [size =\"9925632\"]\n  7 [size=\"140311893\", alpha=\"0.14\", expect_size=\"42093568\"] \n  7 -> 29 [size =\"42093568\"]\n  7 -> 30 [size =\"42093568\"]\n  7 -> 33 [size =\"42093568\"]\n  7 -> 34 [size =\"42093568\"]\n  7 -> 36 [size =\"42093568\"]\n  7 -> 38 [size =\"42093568\"]\n  7 -> 39 [size =\"42093568\"]\n  8 [size=\"151801173\", alpha=\"0.13\", expect_size=\"45540352\"] \n  8 -> 28 [size =\"45540352\"]\n  8 -> 30 [size =\"45540352\"]\n  8 -> 33 [size =\"45540352\"]\n  8 -> 34 [size =\"45540352\"]\n  8 -> 35 [size =\"45540352\"]\n  8 -> 37 [size =\"45540352\"]\n  8 -> 39 [size =\"45540352\"]\n  9 [size=\"136970240\", alpha=\"0.08\", expect_size=\"41091072\"] \n  9 -> 29 [size =\"41091072\"]\n  9 -> 33 [size =\"41091072\"]\n  9 -> 33 [size =\"41091072\"]\n  9 -> 34 [size =\"41091072\"]\n  9 -> 36 [size =\"41091072\"]\n  9 -> 39 [size =\"41091072\"]\n  10 [size=\"126522027\", alpha=\"0.14\", expect_size=\"37956608\"] \n  10 -> 27 [size =\"37956608\"]\n  10 -> 29 [size =\"37956608\"]\n  10 -> 31 [size =\"37956608\"]\n  10 -> 33 [size =\"37956608\"]\n  10 -> 34 [size =\"37956608\"]\n  10 -> 37 [size =\"37956608\"]\n  11 [size=\"56473600\", alpha=\"0.12\", expect_size=\"16942080\"] \n  11 -> 27 [size =\"16942080\"]\n  11 -> 28 [size =\"16942080\"]\n  11 -> 29 [size =\"16942080\"]\n  11 -> 31 [size =\"16942080\"]\n  11 -> 33 [size =\"16942080\"]\n  11 -> 34 [size =\"16942080\"]\n  11 -> 36 [size =\"16942080\"]\n  11 -> 37 [size =\"16942080\"]\n  12 [size=\"36710400\", alpha=\"0.19\", expect_size=\"11013120\"] \n  12 -> 27 [size =\"11013120\"]\n  12 -> 28 [size =\"11013120\"]\n  12 -> 29 [size =\"11013120\"]\n  12 -> 31 [size =\"11013120\"]\n  12 -> 32 [size =\"11013120\"]\n  12 -> 33 [size =\"11013120\"]\n  12 -> 34 [size =\"11013120\"]\n  12 -> 37 [size =\"11013120\"]\n  12 -> 38 [size =\"11013120\"]\n  13 [size=\"151074133\", alpha=\"0.20\", expect_size=\"45322240\"] \n  13 -> 29 [size =\"45322240\"]\n  13 -> 30 [size =\"45322240\"]\n  13 -> 31 [size =\"45322240\"]\n  13 -> 32 [size =\"45322240\"]\n  13 -> 33 [size =\"45322240\"]\n  13 -> 40 [size =\"45322240\"]\n  14 [size=\"149176320\", alpha=\"0.13\", expect_size=\"44752896\"] \n  14 -> 27 [size =\"44752896\"]\n  14 -> 28 [size =\"44752896\"]\n  14 -> 29 [size =\"44752896\"]\n  14 -> 33 [size =\"44752896\"]\n  14 -> 35 [size =\"44752896\"]\n  14 -> 37 [size =\"44752896\"]\n  14 -> 39 [size =\"44752896\"]\n  14 -> 40 [size =\"44752896\"]\n  15 [size=\"146210133\", alpha=\"0.03\", expect_size=\"43863040\"] \n  15 -> 27 [size =\"43863040\"]\n  15 -> 29 [size =\"43863040\"]\n  15 -> 29 [size =\"43863040\"]\n  15 -> 32 [size =\"43863040\"]\n  15 -> 33 [size =\"43863040\"]\n  15 -> 36 [size =\"43863040\"]\n  15 -> 37 [size =\"43863040\"]\n  15 -> 39 [size =\"43863040\"]\n  16 [size=\"103724373\", alpha=\"0.02\", expect_size=\"31117312\"] \n  16 -> 26 [size =\"31117312\"]\n  16 -> 27 [size =\"31117312\"]\n  16 -> 30 [size =\"31117312\"]\n  16 -> 31 [size =\"31117312\"]\n  16 -> 32 [size =\"31117312\"]\n  16 -> 33 [size =\"31117312\"]\n  16 -> 34 [size =\"31117312\"]\n  16 -> 36 [size =\"31117312\"]\n  16 -> 37 [size =\"31117312\"]\n  16 -> 38 [size =\"31117312\"]\n  16 -> 40 [size =\"31117312\"]\n  17 [size=\"48537600\", alpha=\"0.16\", expect_size=\"14561280\"] \n  17 -> 26 [size =\"14561280\"]\n  17 -> 33 [size =\"14561280\"]\n  17 -> 36 [size =\"14561280\"]\n  17 -> 37 [size =\"14561280\"]\n  17 -> 38 [size =\"14561280\"]\n  17 -> 40 [size =\"14561280\"]\n  18 [size=\"154975573\", alpha=\"0.05\", expect_size=\"46492672\"] \n  18 -> 26 [size =\"46492672\"]\n  18 -> 28 [size =\"46492672\"]\n  18 -> 29 [size =\"46492672\"]\n  18 -> 30 [size =\"46492672\"]\n  18 -> 31 [size =\"46492672\"]\n  18 -> 33 [size =\"46492672\"]\n  18 -> 34 [size =\"46492672\"]\n  18 -> 38 [size =\"46492672\"]\n  18 -> 39 [size =\"46492672\"]\n  19 [size=\"102676480\", alpha=\"0.07\", expect_size=\"30802944\"] \n  19 -> 28 [size =\"30802944\"]\n  19 -> 29 [size =\"30802944\"]\n  19 -> 33 [size =\"30802944\"]\n  19 -> 34 [size =\"30802944\"]\n  19 -> 36 [size =\"30802944\"]\n  19 -> 37 [size =\"30802944\"]\n  19 -> 38 [size =\"30802944\"]\n  20 [size=\"167229440\", alpha=\"0.04\", expect_size=\"50168832\"] \n  20 -> 27 [size =\"50168832\"]\n  20 -> 28 [size =\"50168832\"]\n  20 -> 29 [size =\"50168832\"]\n  20 -> 31 [size =\"50168832\"]\n  20 -> 33 [size =\"50168832\"]\n  20 -> 37 [size =\"50168832\"]\n  21 [size=\"123880107\", alpha=\"0.16\", expect_size=\"37164032\"] \n  21 -> 26 [size =\"37164032\"]\n  21 -> 27 [size =\"37164032\"]\n  21 -> 29 [size =\"37164032\"]\n  21 -> 30 [size =\"37164032\"]\n  21 -> 32 [size =\"37164032\"]\n  21 -> 33 [size =\"37164032\"]\n  21 -> 36 [size =\"37164032\"]\n  21 -> 37 [size =\"37164032\"]\n  21 -> 38 [size =\"37164032\"]\n  21 -> 40 [size =\"37164032\"]\n  22 [size=\"58934613\", alpha=\"0.05\", expect_size=\"17680384\"] \n  22 -> 26 [size =\"17680384\"]\n  22 -> 29 [size =\"17680384\"]\n  22 -> 29 [size =\"17680384\"]\n  22 -> 30 [size =\"17680384\"]\n  22 -> 32 [size =\"17680384\"]\n  22 -> 34 [size =\"17680384\"]\n  22 -> 35 [size =\"17680384\"]\n  22 -> 36 [size =\"17680384\"]\n  22 -> 37 [size =\"17680384\"]\n  22 -> 39 [size =\"17680384\"]\n  23 [size=\"53425493\", alpha=\"0.19\", expect_size=\"16027648\"] \n  23 -> 26 [size =\"16027648\"]\n  23 -> 29 [size =\"16027648\"]\n  23 -> 30 [size =\"16027648\"]\n  23 -> 30 [size =\"16027648\"]\n  23 -> 31 [size =\"16027648\"]\n  23 -> 32 [size =\"16027648\"]\n  23 -> 33 [size =\"16027648\"]\n  23 -> 34 [size =\"16027648\"]\n  23 -> 35 [size =\"16027648\"]\n  23 -> 36 [size =\"16027648\"]\n  23 -> 37 [size =\"16027648\"]\n  24 [size=\"49684480\", alpha=\"0.16\", expect_size=\"14905344\"] \n  24 -> 26 [size =\"14905344\"]\n  24 -> 28 [size =\"14905344\"]\n  24 -> 29 [size =\"14905344\"]\n  24 -> 31 [size =\"14905344\"]\n  24 -> 32 [size =\"14905344\"]\n  24 -> 32 [size =\"14905344\"]\n  24 -> 33 [size =\"14905344\"]\n  24 -> 34 [size =\"14905344\"]\n  24 -> 36 [size =\"14905344\"]\n  24 -> 39 [size =\"14905344\"]\n  25 [size=\"154658133\", alpha=\"0.06\", expect_size=\"46397440\"] \n  25 -> 26 [size =\"46397440\"]\n  25 -> 28 [size =\"46397440\"]\n  25 -> 29 [size =\"46397440\"]\n  25 -> 34 [size =\"46397440\"]\n  25 -> 37 [size =\"46397440\"]\n  25 -> 38 [size =\"46397440\"]\n  25 -> 39 [size =\"46397440\"]\n  25 -> 40 [size =\"46397440\"]\n  26 [size=\"19220480\", alpha=\"0.17\", expect_size=\"5766144\"] \n  27 [size=\"36242773\", alpha=\"0.05\", expect_size=\"10872832\"] \n  28 [size=\"159918080\", alpha=\"0.09\", expect_size=\"47975424\"] \n  29 [size=\"45277867\", alpha=\"0.08\", expect_size=\"13583360\"] \n  30 [size=\"99829760\", alpha=\"0.02\", expect_size=\"29948928\"] \n  31 [size=\"128863573\", alpha=\"0.20\", expect_size=\"38659072\"] \n  32 [size=\"98955947\", alpha=\"0.01\", expect_size=\"29686784\"] \n  33 [size=\"137646080\", alpha=\"0.18\", expect_size=\"41293824\"] \n  34 [size=\"131177813\", alpha=\"0.13\", expect_size=\"39353344\"] \n  35 [size=\"102597973\", alpha=\"0.03\", expect_size=\"30779392\"] \n  36 [size=\"149145600\", alpha=\"0.05\", expect_size=\"44743680\"] \n  37 [size=\"129150293\", alpha=\"0.11\", expect_size=\"38745088\"] \n  38 [size=\"165447680\", alpha=\"0.14\", expect_size=\"49634304\"] \n  39 [size=\"77796693\", alpha=\"0.08\", expect_size=\"23339008\"] \n  40 [size=\"142977707\", alpha=\"0.01\", expect_size=\"42893312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47593472\", alpha=\"0.15\", expect_size=\"23796736\"] \n  1 -> 29 [size =\"23796736\"]\n  1 -> 30 [size =\"23796736\"]\n  1 -> 32 [size =\"23796736\"]\n  1 -> 33 [size =\"23796736\"]\n  1 -> 35 [size =\"23796736\"]\n  1 -> 36 [size =\"23796736\"]\n  1 -> 37 [size =\"23796736\"]\n  1 -> 38 [size =\"23796736\"]\n  1 -> 39 [size =\"23796736\"]\n  2 [size=\"81559552\", alpha=\"0.06\", expect_size=\"40779776\"] \n  2 -> 32 [size =\"40779776\"]\n  2 -> 33 [size =\"40779776\"]\n  2 -> 35 [size =\"40779776\"]\n  2 -> 36 [size =\"40779776\"]\n  2 -> 37 [size =\"40779776\"]\n  2 -> 38 [size =\"40779776\"]\n  2 -> 40 [size =\"40779776\"]\n  3 [size=\"47167488\", alpha=\"0.10\", expect_size=\"23583744\"] \n  3 -> 28 [size =\"23583744\"]\n  3 -> 30 [size =\"23583744\"]\n  3 -> 31 [size =\"23583744\"]\n  3 -> 33 [size =\"23583744\"]\n  3 -> 35 [size =\"23583744\"]\n  3 -> 36 [size =\"23583744\"]\n  3 -> 37 [size =\"23583744\"]\n  3 -> 38 [size =\"23583744\"]\n  3 -> 40 [size =\"23583744\"]\n  4 [size=\"54992896\", alpha=\"0.12\", expect_size=\"27496448\"] \n  4 -> 31 [size =\"27496448\"]\n  4 -> 33 [size =\"27496448\"]\n  4 -> 37 [size =\"27496448\"]\n  4 -> 39 [size =\"27496448\"]\n  5 [size=\"67416064\", alpha=\"0.12\", expect_size=\"33708032\"] \n  5 -> 29 [size =\"33708032\"]\n  5 -> 31 [size =\"33708032\"]\n  5 -> 32 [size =\"33708032\"]\n  5 -> 33 [size =\"33708032\"]\n  5 -> 36 [size =\"33708032\"]\n  5 -> 37 [size =\"33708032\"]\n  5 -> 39 [size =\"33708032\"]\n  6 [size=\"22767616\", alpha=\"0.19\", expect_size=\"11383808\"] \n  6 -> 32 [size =\"11383808\"]\n  6 -> 33 [size =\"11383808\"]\n  6 -> 35 [size =\"11383808\"]\n  6 -> 36 [size =\"11383808\"]\n  6 -> 37 [size =\"11383808\"]\n  6 -> 37 [size =\"11383808\"]\n  6 -> 39 [size =\"11383808\"]\n  7 [size=\"98131968\", alpha=\"0.02\", expect_size=\"49065984\"] \n  7 -> 32 [size =\"49065984\"]\n  7 -> 33 [size =\"49065984\"]\n  7 -> 35 [size =\"49065984\"]\n  7 -> 36 [size =\"49065984\"]\n  7 -> 37 [size =\"49065984\"]\n  7 -> 39 [size =\"49065984\"]\n  7 -> 39 [size =\"49065984\"]\n  7 -> 40 [size =\"49065984\"]\n  8 [size=\"67119104\", alpha=\"0.03\", expect_size=\"33559552\"] \n  8 -> 30 [size =\"33559552\"]\n  8 -> 32 [size =\"33559552\"]\n  8 -> 35 [size =\"33559552\"]\n  8 -> 36 [size =\"33559552\"]\n  8 -> 37 [size =\"33559552\"]\n  8 -> 38 [size =\"33559552\"]\n  8 -> 39 [size =\"33559552\"]\n  8 -> 40 [size =\"33559552\"]\n  9 [size=\"27852800\", alpha=\"0.12\", expect_size=\"13926400\"] \n  9 -> 29 [size =\"13926400\"]\n  9 -> 30 [size =\"13926400\"]\n  9 -> 31 [size =\"13926400\"]\n  9 -> 32 [size =\"13926400\"]\n  9 -> 33 [size =\"13926400\"]\n  9 -> 35 [size =\"13926400\"]\n  9 -> 36 [size =\"13926400\"]\n  9 -> 37 [size =\"13926400\"]\n  9 -> 38 [size =\"13926400\"]\n  9 -> 40 [size =\"13926400\"]\n  10 [size=\"41324544\", alpha=\"0.03\", expect_size=\"20662272\"] \n  10 -> 29 [size =\"20662272\"]\n  10 -> 30 [size =\"20662272\"]\n  10 -> 31 [size =\"20662272\"]\n  10 -> 32 [size =\"20662272\"]\n  10 -> 34 [size =\"20662272\"]\n  10 -> 35 [size =\"20662272\"]\n  10 -> 36 [size =\"20662272\"]\n  10 -> 37 [size =\"20662272\"]\n  10 -> 40 [size =\"20662272\"]\n  10 -> 40 [size =\"20662272\"]\n  11 [size=\"30187520\", alpha=\"0.03\", expect_size=\"15093760\"] \n  11 -> 31 [size =\"15093760\"]\n  11 -> 32 [size =\"15093760\"]\n  11 -> 33 [size =\"15093760\"]\n  11 -> 35 [size =\"15093760\"]\n  11 -> 40 [size =\"15093760\"]\n  12 [size=\"100374528\", alpha=\"0.05\", expect_size=\"50187264\"] \n  12 -> 30 [size =\"50187264\"]\n  12 -> 32 [size =\"50187264\"]\n  12 -> 35 [size =\"50187264\"]\n  12 -> 37 [size =\"50187264\"]\n  12 -> 39 [size =\"50187264\"]\n  12 -> 40 [size =\"50187264\"]\n  13 [size=\"36067328\", alpha=\"0.08\", expect_size=\"18033664\"] \n  13 -> 31 [size =\"18033664\"]\n  13 -> 32 [size =\"18033664\"]\n  13 -> 33 [size =\"18033664\"]\n  13 -> 35 [size =\"18033664\"]\n  13 -> 36 [size =\"18033664\"]\n  13 -> 39 [size =\"18033664\"]\n  13 -> 40 [size =\"18033664\"]\n  14 [size=\"84049920\", alpha=\"0.08\", expect_size=\"42024960\"] \n  14 -> 29 [size =\"42024960\"]\n  14 -> 31 [size =\"42024960\"]\n  14 -> 33 [size =\"42024960\"]\n  14 -> 35 [size =\"42024960\"]\n  14 -> 36 [size =\"42024960\"]\n  14 -> 37 [size =\"42024960\"]\n  14 -> 39 [size =\"42024960\"]\n  14 -> 40 [size =\"42024960\"]\n  15 [size=\"45010944\", alpha=\"0.16\", expect_size=\"22505472\"] \n  15 -> 28 [size =\"22505472\"]\n  15 -> 33 [size =\"22505472\"]\n  15 -> 37 [size =\"22505472\"]\n  15 -> 39 [size =\"22505472\"]\n  15 -> 40 [size =\"22505472\"]\n  16 [size=\"101144576\", alpha=\"0.03\", expect_size=\"50572288\"] \n  16 -> 33 [size =\"50572288\"]\n  16 -> 33 [size =\"50572288\"]\n  16 -> 36 [size =\"50572288\"]\n  16 -> 37 [size =\"50572288\"]\n  16 -> 39 [size =\"50572288\"]\n  16 -> 40 [size =\"50572288\"]\n  17 [size=\"98746368\", alpha=\"0.09\", expect_size=\"49373184\"] \n  17 -> 32 [size =\"49373184\"]\n  17 -> 33 [size =\"49373184\"]\n  17 -> 35 [size =\"49373184\"]\n  17 -> 37 [size =\"49373184\"]\n  17 -> 39 [size =\"49373184\"]\n  17 -> 40 [size =\"49373184\"]\n  18 [size=\"12310528\", alpha=\"0.18\", expect_size=\"6155264\"] \n  18 -> 28 [size =\"6155264\"]\n  18 -> 33 [size =\"6155264\"]\n  18 -> 35 [size =\"6155264\"]\n  18 -> 39 [size =\"6155264\"]\n  18 -> 39 [size =\"6155264\"]\n  18 -> 40 [size =\"6155264\"]\n  19 [size=\"24369152\", alpha=\"0.07\", expect_size=\"12184576\"] \n  19 -> 30 [size =\"12184576\"]\n  19 -> 32 [size =\"12184576\"]\n  19 -> 33 [size =\"12184576\"]\n  19 -> 39 [size =\"12184576\"]\n  19 -> 40 [size =\"12184576\"]\n  20 [size=\"80707584\", alpha=\"0.08\", expect_size=\"40353792\"] \n  20 -> 29 [size =\"40353792\"]\n  20 -> 31 [size =\"40353792\"]\n  20 -> 33 [size =\"40353792\"]\n  20 -> 37 [size =\"40353792\"]\n  21 [size=\"92727296\", alpha=\"0.17\", expect_size=\"46363648\"] \n  21 -> 30 [size =\"46363648\"]\n  21 -> 33 [size =\"46363648\"]\n  21 -> 35 [size =\"46363648\"]\n  21 -> 36 [size =\"46363648\"]\n  21 -> 39 [size =\"46363648\"]\n  21 -> 40 [size =\"46363648\"]\n  22 [size=\"10606592\", alpha=\"0.02\", expect_size=\"5303296\"] \n  22 -> 29 [size =\"5303296\"]\n  22 -> 35 [size =\"5303296\"]\n  22 -> 38 [size =\"5303296\"]\n  22 -> 40 [size =\"5303296\"]\n  23 [size=\"32231424\", alpha=\"0.14\", expect_size=\"16115712\"] \n  23 -> 28 [size =\"16115712\"]\n  23 -> 30 [size =\"16115712\"]\n  23 -> 32 [size =\"16115712\"]\n  23 -> 37 [size =\"16115712\"]\n  23 -> 40 [size =\"16115712\"]\n  24 [size=\"70828032\", alpha=\"0.15\", expect_size=\"35414016\"] \n  24 -> 28 [size =\"35414016\"]\n  24 -> 30 [size =\"35414016\"]\n  24 -> 32 [size =\"35414016\"]\n  24 -> 33 [size =\"35414016\"]\n  24 -> 37 [size =\"35414016\"]\n  24 -> 39 [size =\"35414016\"]\n  24 -> 40 [size =\"35414016\"]\n  25 [size=\"14387200\", alpha=\"0.09\", expect_size=\"7193600\"] \n  25 -> 30 [size =\"7193600\"]\n  25 -> 35 [size =\"7193600\"]\n  25 -> 36 [size =\"7193600\"]\n  25 -> 37 [size =\"7193600\"]\n  25 -> 38 [size =\"7193600\"]\n  25 -> 40 [size =\"7193600\"]\n  25 -> 40 [size =\"7193600\"]\n  26 [size=\"89104384\", alpha=\"0.05\", expect_size=\"44552192\"] \n  26 -> 30 [size =\"44552192\"]\n  26 -> 31 [size =\"44552192\"]\n  26 -> 32 [size =\"44552192\"]\n  26 -> 33 [size =\"44552192\"]\n  26 -> 36 [size =\"44552192\"]\n  26 -> 37 [size =\"44552192\"]\n  26 -> 38 [size =\"44552192\"]\n  26 -> 39 [size =\"44552192\"]\n  26 -> 40 [size =\"44552192\"]\n  27 [size=\"102926336\", alpha=\"0.20\", expect_size=\"51463168\"] \n  27 -> 31 [size =\"51463168\"]\n  27 -> 32 [size =\"51463168\"]\n  27 -> 33 [size =\"51463168\"]\n  27 -> 35 [size =\"51463168\"]\n  27 -> 37 [size =\"51463168\"]\n  27 -> 37 [size =\"51463168\"]\n  27 -> 38 [size =\"51463168\"]\n  28 [size=\"49324032\", alpha=\"0.07\", expect_size=\"24662016\"] \n  29 [size=\"37543936\", alpha=\"0.17\", expect_size=\"18771968\"] \n  30 [size=\"69734400\", alpha=\"0.14\", expect_size=\"34867200\"] \n  31 [size=\"14096384\", alpha=\"0.15\", expect_size=\"7048192\"] \n  32 [size=\"96483328\", alpha=\"0.15\", expect_size=\"48241664\"] \n  33 [size=\"104855552\", alpha=\"0.01\", expect_size=\"52427776\"] \n  34 [size=\"75890688\", alpha=\"0.02\", expect_size=\"37945344\"] \n  35 [size=\"54097920\", alpha=\"0.11\", expect_size=\"27048960\"] \n  36 [size=\"96409600\", alpha=\"0.19\", expect_size=\"48204800\"] \n  37 [size=\"26365952\", alpha=\"0.05\", expect_size=\"13182976\"] \n  38 [size=\"25987072\", alpha=\"0.12\", expect_size=\"12993536\"] \n  39 [size=\"57532416\", alpha=\"0.02\", expect_size=\"28766208\"] \n  40 [size=\"44001280\", alpha=\"0.06\", expect_size=\"22000640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98701312\", alpha=\"0.12\", expect_size=\"49350656\"] \n  1 -> 2 [size =\"49350656\"]\n  1 -> 3 [size =\"49350656\"]\n  1 -> 4 [size =\"49350656\"]\n  2 [size=\"45213696\", alpha=\"0.13\", expect_size=\"22606848\"] \n  2 -> 5 [size =\"22606848\"]\n  3 [size=\"39806976\", alpha=\"0.11\", expect_size=\"19903488\"] \n  3 -> 6 [size =\"19903488\"]\n  4 [size=\"40331264\", alpha=\"0.02\", expect_size=\"20165632\"] \n  5 [size=\"28608512\", alpha=\"0.14\", expect_size=\"14304256\"] \n  5 -> 9 [size =\"14304256\"]\n  6 [size=\"65970176\", alpha=\"0.10\", expect_size=\"32985088\"] \n  6 -> 7 [size =\"32985088\"]\n  6 -> 8 [size =\"32985088\"]\n  7 [size=\"86257664\", alpha=\"0.08\", expect_size=\"43128832\"] \n  7 -> 11 [size =\"43128832\"]\n  7 -> 12 [size =\"43128832\"]\n  8 [size=\"102318080\", alpha=\"0.14\", expect_size=\"51159040\"] \n  9 [size=\"102866944\", alpha=\"0.16\", expect_size=\"51433472\"] \n  9 -> 10 [size =\"51433472\"]\n  9 -> 11 [size =\"51433472\"]\n  10 [size=\"13955072\", alpha=\"0.03\", expect_size=\"6977536\"] \n  11 [size=\"57851904\", alpha=\"0.03\", expect_size=\"28925952\"] \n  11 -> 14 [size =\"28925952\"]\n  12 [size=\"20680704\", alpha=\"0.10\", expect_size=\"10340352\"] \n  12 -> 13 [size =\"10340352\"]\n  12 -> 14 [size =\"10340352\"]\n  13 [size=\"83744768\", alpha=\"0.07\", expect_size=\"41872384\"] \n  13 -> 15 [size =\"41872384\"]\n  14 [size=\"43352064\", alpha=\"0.05\", expect_size=\"21676032\"] \n  15 [size=\"53043200\", alpha=\"0.04\", expect_size=\"26521600\"] \n  15 -> 16 [size =\"26521600\"]\n  15 -> 17 [size =\"26521600\"]\n  15 -> 18 [size =\"26521600\"]\n  15 -> 19 [size =\"26521600\"]\n  16 [size=\"25131008\", alpha=\"0.19\", expect_size=\"12565504\"] \n  17 [size=\"71346176\", alpha=\"0.16\", expect_size=\"35673088\"] \n  18 [size=\"17006592\", alpha=\"0.03\", expect_size=\"8503296\"] \n  18 -> 20 [size =\"8503296\"]\n  19 [size=\"85379072\", alpha=\"0.10\", expect_size=\"42689536\"] \n  19 -> 21 [size =\"42689536\"]\n  20 [size=\"65474560\", alpha=\"0.17\", expect_size=\"32737280\"] \n  20 -> 22 [size =\"32737280\"]\n  20 -> 23 [size =\"32737280\"]\n  21 [size=\"78161920\", alpha=\"0.02\", expect_size=\"39080960\"] \n  22 [size=\"94259200\", alpha=\"0.15\", expect_size=\"47129600\"] \n  22 -> 25 [size =\"47129600\"]\n  23 [size=\"45664256\", alpha=\"0.14\", expect_size=\"22832128\"] \n  23 -> 24 [size =\"22832128\"]\n  24 [size=\"81025024\", alpha=\"0.19\", expect_size=\"40512512\"] \n  24 -> 26 [size =\"40512512\"]\n  25 [size=\"11374592\", alpha=\"0.08\", expect_size=\"5687296\"] \n  26 [size=\"30965760\", alpha=\"0.09\", expect_size=\"15482880\"] \n  26 -> 27 [size =\"15482880\"]\n  26 -> 28 [size =\"15482880\"]\n  26 -> 29 [size =\"15482880\"]\n  26 -> 30 [size =\"15482880\"]\n  27 [size=\"24356864\", alpha=\"0.06\", expect_size=\"12178432\"] \n  27 -> 31 [size =\"12178432\"]\n  28 [size=\"99270656\", alpha=\"0.02\", expect_size=\"49635328\"] \n  29 [size=\"19079168\", alpha=\"0.18\", expect_size=\"9539584\"] \n  30 [size=\"66744320\", alpha=\"0.15\", expect_size=\"33372160\"] \n  30 -> 31 [size =\"33372160\"]\n  31 [size=\"51300352\", alpha=\"0.01\", expect_size=\"25650176\"] \n  31 -> 32 [size =\"25650176\"]\n  32 [size=\"60968960\", alpha=\"0.10\", expect_size=\"30484480\"] \n  32 -> 33 [size =\"30484480\"]\n  32 -> 34 [size =\"30484480\"]\n  32 -> 35 [size =\"30484480\"]\n  32 -> 36 [size =\"30484480\"]\n  33 [size=\"36102144\", alpha=\"0.14\", expect_size=\"18051072\"] \n  33 -> 38 [size =\"18051072\"]\n  34 [size=\"100399104\", alpha=\"0.06\", expect_size=\"50199552\"] \n  35 [size=\"94961664\", alpha=\"0.06\", expect_size=\"47480832\"] \n  35 -> 37 [size =\"47480832\"]\n  36 [size=\"37910528\", alpha=\"0.10\", expect_size=\"18955264\"] \n  36 -> 37 [size =\"18955264\"]\n  36 -> 38 [size =\"18955264\"]\n  37 [size=\"79110144\", alpha=\"0.06\", expect_size=\"39555072\"] \n  37 -> 40 [size =\"39555072\"]\n  38 [size=\"11212800\", alpha=\"0.04\", expect_size=\"5606400\"] \n  38 -> 39 [size =\"5606400\"]\n  39 [size=\"20426752\", alpha=\"0.17\", expect_size=\"10213376\"] \n  40 [size=\"104761344\", alpha=\"0.03\", expect_size=\"52380672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71920640\", alpha=\"0.02\", expect_size=\"28768256\"] \n  1 -> 34 [size =\"28768256\"]\n  1 -> 37 [size =\"28768256\"]\n  1 -> 39 [size =\"28768256\"]\n  2 [size=\"36083200\", alpha=\"0.08\", expect_size=\"14433280\"] \n  2 -> 34 [size =\"14433280\"]\n  2 -> 37 [size =\"14433280\"]\n  3 [size=\"72046080\", alpha=\"0.11\", expect_size=\"28818432\"] \n  3 -> 34 [size =\"28818432\"]\n  4 [size=\"106928640\", alpha=\"0.14\", expect_size=\"42771456\"] \n  4 -> 34 [size =\"42771456\"]\n  4 -> 37 [size =\"42771456\"]\n  4 -> 39 [size =\"42771456\"]\n  5 [size=\"23301120\", alpha=\"0.09\", expect_size=\"9320448\"] \n  5 -> 34 [size =\"9320448\"]\n  5 -> 37 [size =\"9320448\"]\n  5 -> 39 [size =\"9320448\"]\n  6 [size=\"90808320\", alpha=\"0.06\", expect_size=\"36323328\"] \n  6 -> 34 [size =\"36323328\"]\n  7 [size=\"21783040\", alpha=\"0.20\", expect_size=\"8713216\"] \n  7 -> 34 [size =\"8713216\"]\n  8 [size=\"112506880\", alpha=\"0.02\", expect_size=\"45002752\"] \n  8 -> 36 [size =\"45002752\"]\n  8 -> 39 [size =\"45002752\"]\n  9 [size=\"84375040\", alpha=\"0.06\", expect_size=\"33750016\"] \n  9 -> 39 [size =\"33750016\"]\n  10 [size=\"125824000\", alpha=\"0.01\", expect_size=\"50329600\"] \n  10 -> 34 [size =\"50329600\"]\n  10 -> 39 [size =\"50329600\"]\n  10 -> 40 [size =\"50329600\"]\n  11 [size=\"91473920\", alpha=\"0.04\", expect_size=\"36589568\"] \n  11 -> 40 [size =\"36589568\"]\n  12 [size=\"104773120\", alpha=\"0.00\", expect_size=\"41909248\"] \n  12 -> 34 [size =\"41909248\"]\n  12 -> 40 [size =\"41909248\"]\n  13 [size=\"35166720\", alpha=\"0.17\", expect_size=\"14066688\"] \n  14 [size=\"97582080\", alpha=\"0.03\", expect_size=\"39032832\"] \n  14 -> 40 [size =\"39032832\"]\n  15 [size=\"61268480\", alpha=\"0.19\", expect_size=\"24507392\"] \n  16 [size=\"115650560\", alpha=\"0.14\", expect_size=\"46260224\"] \n  16 -> 34 [size =\"46260224\"]\n  16 -> 39 [size =\"46260224\"]\n  17 [size=\"33318400\", alpha=\"0.12\", expect_size=\"13327360\"] \n  17 -> 37 [size =\"13327360\"]\n  17 -> 39 [size =\"13327360\"]\n  17 -> 40 [size =\"13327360\"]\n  18 [size=\"32673280\", alpha=\"0.00\", expect_size=\"13069312\"] \n  18 -> 39 [size =\"13069312\"]\n  19 [size=\"43568640\", alpha=\"0.08\", expect_size=\"17427456\"] \n  19 -> 39 [size =\"17427456\"]\n  20 [size=\"77703680\", alpha=\"0.04\", expect_size=\"31081472\"] \n  20 -> 39 [size =\"31081472\"]\n  21 [size=\"82193920\", alpha=\"0.10\", expect_size=\"32877568\"] \n  21 -> 34 [size =\"32877568\"]\n  21 -> 35 [size =\"32877568\"]\n  22 [size=\"103715840\", alpha=\"0.20\", expect_size=\"41486336\"] \n  22 -> 34 [size =\"41486336\"]\n  22 -> 35 [size =\"41486336\"]\n  22 -> 37 [size =\"41486336\"]\n  23 [size=\"104399360\", alpha=\"0.20\", expect_size=\"41759744\"] \n  23 -> 37 [size =\"41759744\"]\n  24 [size=\"87559680\", alpha=\"0.16\", expect_size=\"35023872\"] \n  24 -> 39 [size =\"35023872\"]\n  24 -> 40 [size =\"35023872\"]\n  25 [size=\"105879040\", alpha=\"0.13\", expect_size=\"42351616\"] \n  25 -> 37 [size =\"42351616\"]\n  25 -> 39 [size =\"42351616\"]\n  26 [size=\"101998080\", alpha=\"0.04\", expect_size=\"40799232\"] \n  26 -> 34 [size =\"40799232\"]\n  26 -> 39 [size =\"40799232\"]\n  27 [size=\"67952640\", alpha=\"0.16\", expect_size=\"27181056\"] \n  27 -> 39 [size =\"27181056\"]\n  28 [size=\"21808640\", alpha=\"0.05\", expect_size=\"8723456\"] \n  28 -> 35 [size =\"8723456\"]\n  29 [size=\"23557120\", alpha=\"0.06\", expect_size=\"9422848\"] \n  29 -> 35 [size =\"9422848\"]\n  30 [size=\"67878400\", alpha=\"0.07\", expect_size=\"27151360\"] \n  30 -> 34 [size =\"27151360\"]\n  30 -> 39 [size =\"27151360\"]\n  31 [size=\"89251840\", alpha=\"0.00\", expect_size=\"35700736\"] \n  32 [size=\"28526080\", alpha=\"0.09\", expect_size=\"11410432\"] \n  32 -> 40 [size =\"11410432\"]\n  33 [size=\"26647040\", alpha=\"0.02\", expect_size=\"10658816\"] \n  33 -> 38 [size =\"10658816\"]\n  33 -> 40 [size =\"10658816\"]\n  34 [size=\"24586240\", alpha=\"0.10\", expect_size=\"9834496\"] \n  35 [size=\"116170240\", alpha=\"0.05\", expect_size=\"46468096\"] \n  36 [size=\"75663360\", alpha=\"0.18\", expect_size=\"30265344\"] \n  37 [size=\"98734080\", alpha=\"0.14\", expect_size=\"39493632\"] \n  38 [size=\"76090880\", alpha=\"0.13\", expect_size=\"30436352\"] \n  39 [size=\"107141120\", alpha=\"0.18\", expect_size=\"42856448\"] \n  40 [size=\"27223040\", alpha=\"0.13\", expect_size=\"10889216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67375104\", alpha=\"0.10\", expect_size=\"33687552\"] \n  1 -> 38 [size =\"33687552\"]\n  1 -> 39 [size =\"33687552\"]\n  1 -> 40 [size =\"33687552\"]\n  2 [size=\"70424576\", alpha=\"0.10\", expect_size=\"35212288\"] \n  2 -> 38 [size =\"35212288\"]\n  3 [size=\"20774912\", alpha=\"0.01\", expect_size=\"10387456\"] \n  3 -> 38 [size =\"10387456\"]\n  3 -> 40 [size =\"10387456\"]\n  4 [size=\"21544960\", alpha=\"0.06\", expect_size=\"10772480\"] \n  4 -> 38 [size =\"10772480\"]\n  4 -> 40 [size =\"10772480\"]\n  5 [size=\"64014336\", alpha=\"0.16\", expect_size=\"32007168\"] \n  5 -> 38 [size =\"32007168\"]\n  6 [size=\"75059200\", alpha=\"0.12\", expect_size=\"37529600\"] \n  7 [size=\"77930496\", alpha=\"0.18\", expect_size=\"38965248\"] \n  7 -> 38 [size =\"38965248\"]\n  8 [size=\"65265664\", alpha=\"0.11\", expect_size=\"32632832\"] \n  8 -> 38 [size =\"32632832\"]\n  8 -> 40 [size =\"32632832\"]\n  9 [size=\"12214272\", alpha=\"0.19\", expect_size=\"6107136\"] \n  9 -> 38 [size =\"6107136\"]\n  10 [size=\"17723392\", alpha=\"0.19\", expect_size=\"8861696\"] \n  10 -> 38 [size =\"8861696\"]\n  10 -> 39 [size =\"8861696\"]\n  11 [size=\"20895744\", alpha=\"0.14\", expect_size=\"10447872\"] \n  11 -> 40 [size =\"10447872\"]\n  12 [size=\"66119680\", alpha=\"0.15\", expect_size=\"33059840\"] \n  13 [size=\"18757632\", alpha=\"0.16\", expect_size=\"9378816\"] \n  13 -> 36 [size =\"9378816\"]\n  13 -> 40 [size =\"9378816\"]\n  14 [size=\"23089152\", alpha=\"0.18\", expect_size=\"11544576\"] \n  14 -> 37 [size =\"11544576\"]\n  14 -> 40 [size =\"11544576\"]\n  15 [size=\"50763776\", alpha=\"0.02\", expect_size=\"25381888\"] \n  16 [size=\"33906688\", alpha=\"0.05\", expect_size=\"16953344\"] \n  17 [size=\"92655616\", alpha=\"0.15\", expect_size=\"46327808\"] \n  18 [size=\"82888704\", alpha=\"0.02\", expect_size=\"41444352\"] \n  19 [size=\"40120320\", alpha=\"0.07\", expect_size=\"20060160\"] \n  20 [size=\"37257216\", alpha=\"0.08\", expect_size=\"18628608\"] \n  21 [size=\"31064064\", alpha=\"0.00\", expect_size=\"15532032\"] \n  22 [size=\"98836480\", alpha=\"0.06\", expect_size=\"49418240\"] \n  22 -> 38 [size =\"49418240\"]\n  23 [size=\"76425216\", alpha=\"0.14\", expect_size=\"38212608\"] \n  23 -> 38 [size =\"38212608\"]\n  23 -> 39 [size =\"38212608\"]\n  23 -> 40 [size =\"38212608\"]\n  24 [size=\"55867392\", alpha=\"0.03\", expect_size=\"27933696\"] \n  24 -> 38 [size =\"27933696\"]\n  24 -> 40 [size =\"27933696\"]\n  25 [size=\"44679168\", alpha=\"0.05\", expect_size=\"22339584\"] \n  25 -> 38 [size =\"22339584\"]\n  26 [size=\"55146496\", alpha=\"0.20\", expect_size=\"27573248\"] \n  26 -> 38 [size =\"27573248\"]\n  27 [size=\"77772800\", alpha=\"0.09\", expect_size=\"38886400\"] \n  27 -> 40 [size =\"38886400\"]\n  28 [size=\"53561344\", alpha=\"0.10\", expect_size=\"26780672\"] \n  28 -> 40 [size =\"26780672\"]\n  29 [size=\"63565824\", alpha=\"0.11\", expect_size=\"31782912\"] \n  29 -> 37 [size =\"31782912\"]\n  29 -> 38 [size =\"31782912\"]\n  29 -> 40 [size =\"31782912\"]\n  30 [size=\"97034240\", alpha=\"0.14\", expect_size=\"48517120\"] \n  30 -> 35 [size =\"48517120\"]\n  31 [size=\"39294976\", alpha=\"0.19\", expect_size=\"19647488\"] \n  31 -> 39 [size =\"19647488\"]\n  31 -> 40 [size =\"19647488\"]\n  32 [size=\"41609216\", alpha=\"0.16\", expect_size=\"20804608\"] \n  33 [size=\"69543936\", alpha=\"0.14\", expect_size=\"34771968\"] \n  33 -> 35 [size =\"34771968\"]\n  34 [size=\"39020544\", alpha=\"0.16\", expect_size=\"19510272\"] \n  34 -> 38 [size =\"19510272\"]\n  34 -> 39 [size =\"19510272\"]\n  34 -> 40 [size =\"19510272\"]\n  35 [size=\"55470080\", alpha=\"0.05\", expect_size=\"27735040\"] \n  36 [size=\"78049280\", alpha=\"0.20\", expect_size=\"39024640\"] \n  37 [size=\"76961792\", alpha=\"0.12\", expect_size=\"38480896\"] \n  38 [size=\"25280512\", alpha=\"0.20\", expect_size=\"12640256\"] \n  39 [size=\"72159232\", alpha=\"0.13\", expect_size=\"36079616\"] \n  40 [size=\"30582784\", alpha=\"0.13\", expect_size=\"15291392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39910400\", alpha=\"0.15\", expect_size=\"15964160\"] \n  1 -> 2 [size =\"15964160\"]\n  2 [size=\"87592960\", alpha=\"0.16\", expect_size=\"35037184\"] \n  2 -> 3 [size =\"35037184\"]\n  3 [size=\"105492480\", alpha=\"0.10\", expect_size=\"42196992\"] \n  3 -> 4 [size =\"42196992\"]\n  4 [size=\"48793600\", alpha=\"0.18\", expect_size=\"19517440\"] \n  4 -> 5 [size =\"19517440\"]\n  5 [size=\"121640960\", alpha=\"0.14\", expect_size=\"48656384\"] \n  5 -> 6 [size =\"48656384\"]\n  6 [size=\"42462720\", alpha=\"0.04\", expect_size=\"16985088\"] \n  6 -> 7 [size =\"16985088\"]\n  7 [size=\"118996480\", alpha=\"0.08\", expect_size=\"47598592\"] \n  7 -> 8 [size =\"47598592\"]\n  8 [size=\"92720640\", alpha=\"0.10\", expect_size=\"37088256\"] \n  8 -> 9 [size =\"37088256\"]\n  9 [size=\"32386560\", alpha=\"0.08\", expect_size=\"12954624\"] \n  9 -> 10 [size =\"12954624\"]\n  10 [size=\"99532800\", alpha=\"0.09\", expect_size=\"39813120\"] \n  10 -> 11 [size =\"39813120\"]\n  11 [size=\"16248320\", alpha=\"0.11\", expect_size=\"6499328\"] \n  11 -> 12 [size =\"6499328\"]\n  12 [size=\"103636480\", alpha=\"0.11\", expect_size=\"41454592\"] \n  12 -> 13 [size =\"41454592\"]\n  13 [size=\"79836160\", alpha=\"0.14\", expect_size=\"31934464\"] \n  13 -> 14 [size =\"31934464\"]\n  14 [size=\"23152640\", alpha=\"0.07\", expect_size=\"9261056\"] \n  14 -> 15 [size =\"9261056\"]\n  15 [size=\"128017920\", alpha=\"0.06\", expect_size=\"51207168\"] \n  15 -> 16 [size =\"51207168\"]\n  16 [size=\"95408640\", alpha=\"0.15\", expect_size=\"38163456\"] \n  16 -> 17 [size =\"38163456\"]\n  17 [size=\"116103680\", alpha=\"0.07\", expect_size=\"46441472\"] \n  17 -> 18 [size =\"46441472\"]\n  18 [size=\"44879360\", alpha=\"0.16\", expect_size=\"17951744\"] \n  18 -> 19 [size =\"17951744\"]\n  19 [size=\"101434880\", alpha=\"0.01\", expect_size=\"40573952\"] \n  19 -> 20 [size =\"40573952\"]\n  20 [size=\"32168960\", alpha=\"0.06\", expect_size=\"12867584\"] \n  20 -> 21 [size =\"12867584\"]\n  21 [size=\"83804160\", alpha=\"0.16\", expect_size=\"33521664\"] \n  21 -> 22 [size =\"33521664\"]\n  22 [size=\"28487680\", alpha=\"0.18\", expect_size=\"11395072\"] \n  22 -> 23 [size =\"11395072\"]\n  23 [size=\"90447360\", alpha=\"0.16\", expect_size=\"36178944\"] \n  23 -> 24 [size =\"36178944\"]\n  24 [size=\"56051200\", alpha=\"0.01\", expect_size=\"22420480\"] \n  24 -> 25 [size =\"22420480\"]\n  25 [size=\"96481280\", alpha=\"0.03\", expect_size=\"38592512\"] \n  25 -> 26 [size =\"38592512\"]\n  26 [size=\"130058240\", alpha=\"0.11\", expect_size=\"52023296\"] \n  26 -> 27 [size =\"52023296\"]\n  27 [size=\"99148800\", alpha=\"0.16\", expect_size=\"39659520\"] \n  27 -> 28 [size =\"39659520\"]\n  28 [size=\"22807040\", alpha=\"0.15\", expect_size=\"9122816\"] \n  28 -> 29 [size =\"9122816\"]\n  29 [size=\"118530560\", alpha=\"0.17\", expect_size=\"47412224\"] \n  29 -> 30 [size =\"47412224\"]\n  30 [size=\"123118080\", alpha=\"0.14\", expect_size=\"49247232\"] \n  30 -> 31 [size =\"49247232\"]\n  31 [size=\"40878080\", alpha=\"0.12\", expect_size=\"16351232\"] \n  31 -> 32 [size =\"16351232\"]\n  32 [size=\"16578560\", alpha=\"0.05\", expect_size=\"6631424\"] \n  32 -> 33 [size =\"6631424\"]\n  33 [size=\"124707840\", alpha=\"0.09\", expect_size=\"49883136\"] \n  33 -> 34 [size =\"49883136\"]\n  34 [size=\"103759360\", alpha=\"0.15\", expect_size=\"41503744\"] \n  34 -> 35 [size =\"41503744\"]\n  35 [size=\"107384320\", alpha=\"0.20\", expect_size=\"42953728\"] \n  35 -> 36 [size =\"42953728\"]\n  36 [size=\"126151680\", alpha=\"0.19\", expect_size=\"50460672\"] \n  36 -> 37 [size =\"50460672\"]\n  37 [size=\"71459840\", alpha=\"0.16\", expect_size=\"28583936\"] \n  37 -> 38 [size =\"28583936\"]\n  38 [size=\"49192960\", alpha=\"0.18\", expect_size=\"19677184\"] \n  38 -> 39 [size =\"19677184\"]\n  39 [size=\"21004800\", alpha=\"0.15\", expect_size=\"8401920\"] \n  39 -> 40 [size =\"8401920\"]\n  40 [size=\"124142080\", alpha=\"0.15\", expect_size=\"49656832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72853504\", alpha=\"0.19\", expect_size=\"36426752\"] \n  1 -> 2 [size =\"36426752\"]\n  2 [size=\"92327936\", alpha=\"0.20\", expect_size=\"46163968\"] \n  2 -> 3 [size =\"46163968\"]\n  3 [size=\"51771392\", alpha=\"0.05\", expect_size=\"25885696\"] \n  3 -> 4 [size =\"25885696\"]\n  4 [size=\"89960448\", alpha=\"0.05\", expect_size=\"44980224\"] \n  4 -> 5 [size =\"44980224\"]\n  5 [size=\"16762880\", alpha=\"0.16\", expect_size=\"8381440\"] \n  5 -> 6 [size =\"8381440\"]\n  6 [size=\"43724800\", alpha=\"0.13\", expect_size=\"21862400\"] \n  6 -> 7 [size =\"21862400\"]\n  7 [size=\"47173632\", alpha=\"0.00\", expect_size=\"23586816\"] \n  7 -> 8 [size =\"23586816\"]\n  8 [size=\"94824448\", alpha=\"0.01\", expect_size=\"47412224\"] \n  8 -> 9 [size =\"47412224\"]\n  9 [size=\"30646272\", alpha=\"0.06\", expect_size=\"15323136\"] \n  9 -> 10 [size =\"15323136\"]\n  10 [size=\"62773248\", alpha=\"0.14\", expect_size=\"31386624\"] \n  10 -> 11 [size =\"31386624\"]\n  11 [size=\"32004096\", alpha=\"0.15\", expect_size=\"16002048\"] \n  11 -> 12 [size =\"16002048\"]\n  12 [size=\"26519552\", alpha=\"0.05\", expect_size=\"13259776\"] \n  12 -> 13 [size =\"13259776\"]\n  13 [size=\"24580096\", alpha=\"0.17\", expect_size=\"12290048\"] \n  13 -> 14 [size =\"12290048\"]\n  14 [size=\"45867008\", alpha=\"0.14\", expect_size=\"22933504\"] \n  14 -> 15 [size =\"22933504\"]\n  15 [size=\"68098048\", alpha=\"0.15\", expect_size=\"34049024\"] \n  15 -> 16 [size =\"34049024\"]\n  16 [size=\"49944576\", alpha=\"0.15\", expect_size=\"24972288\"] \n  16 -> 17 [size =\"24972288\"]\n  17 [size=\"19146752\", alpha=\"0.13\", expect_size=\"9573376\"] \n  17 -> 18 [size =\"9573376\"]\n  18 [size=\"20660224\", alpha=\"0.05\", expect_size=\"10330112\"] \n  18 -> 19 [size =\"10330112\"]\n  19 [size=\"25030656\", alpha=\"0.14\", expect_size=\"12515328\"] \n  19 -> 20 [size =\"12515328\"]\n  20 [size=\"52799488\", alpha=\"0.19\", expect_size=\"26399744\"] \n  20 -> 21 [size =\"26399744\"]\n  21 [size=\"26664960\", alpha=\"0.17\", expect_size=\"13332480\"] \n  21 -> 22 [size =\"13332480\"]\n  22 [size=\"96376832\", alpha=\"0.12\", expect_size=\"48188416\"] \n  22 -> 23 [size =\"48188416\"]\n  23 [size=\"26376192\", alpha=\"0.16\", expect_size=\"13188096\"] \n  23 -> 24 [size =\"13188096\"]\n  24 [size=\"104671232\", alpha=\"0.17\", expect_size=\"52335616\"] \n  24 -> 25 [size =\"52335616\"]\n  25 [size=\"74065920\", alpha=\"0.19\", expect_size=\"37032960\"] \n  25 -> 26 [size =\"37032960\"]\n  26 [size=\"49051648\", alpha=\"0.08\", expect_size=\"24525824\"] \n  26 -> 27 [size =\"24525824\"]\n  27 [size=\"26820608\", alpha=\"0.05\", expect_size=\"13410304\"] \n  27 -> 28 [size =\"13410304\"]\n  28 [size=\"87304192\", alpha=\"0.20\", expect_size=\"43652096\"] \n  28 -> 29 [size =\"43652096\"]\n  29 [size=\"17790976\", alpha=\"0.19\", expect_size=\"8895488\"] \n  29 -> 30 [size =\"8895488\"]\n  30 [size=\"83593216\", alpha=\"0.09\", expect_size=\"41796608\"] \n  30 -> 31 [size =\"41796608\"]\n  31 [size=\"77193216\", alpha=\"0.04\", expect_size=\"38596608\"] \n  31 -> 32 [size =\"38596608\"]\n  32 [size=\"60958720\", alpha=\"0.02\", expect_size=\"30479360\"] \n  32 -> 33 [size =\"30479360\"]\n  33 [size=\"22362112\", alpha=\"0.04\", expect_size=\"11181056\"] \n  33 -> 34 [size =\"11181056\"]\n  34 [size=\"97060864\", alpha=\"0.12\", expect_size=\"48530432\"] \n  34 -> 35 [size =\"48530432\"]\n  35 [size=\"81414144\", alpha=\"0.13\", expect_size=\"40707072\"] \n  35 -> 36 [size =\"40707072\"]\n  36 [size=\"76072960\", alpha=\"0.02\", expect_size=\"38036480\"] \n  36 -> 37 [size =\"38036480\"]\n  37 [size=\"19904512\", alpha=\"0.13\", expect_size=\"9952256\"] \n  37 -> 38 [size =\"9952256\"]\n  38 [size=\"43970560\", alpha=\"0.07\", expect_size=\"21985280\"] \n  38 -> 39 [size =\"21985280\"]\n  39 [size=\"43864064\", alpha=\"0.03\", expect_size=\"21932032\"] \n  39 -> 40 [size =\"21932032\"]\n  40 [size=\"39747584\", alpha=\"0.08\", expect_size=\"19873792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121474560\", alpha=\"0.12\", expect_size=\"48589824\"] \n  1 -> 31 [size =\"48589824\"]\n  1 -> 34 [size =\"48589824\"]\n  1 -> 36 [size =\"48589824\"]\n  1 -> 38 [size =\"48589824\"]\n  1 -> 39 [size =\"48589824\"]\n  1 -> 40 [size =\"48589824\"]\n  2 [size=\"126343680\", alpha=\"0.05\", expect_size=\"50537472\"] \n  2 -> 31 [size =\"50537472\"]\n  2 -> 36 [size =\"50537472\"]\n  2 -> 37 [size =\"50537472\"]\n  2 -> 38 [size =\"50537472\"]\n  3 [size=\"124193280\", alpha=\"0.02\", expect_size=\"49677312\"] \n  3 -> 32 [size =\"49677312\"]\n  3 -> 34 [size =\"49677312\"]\n  3 -> 36 [size =\"49677312\"]\n  4 [size=\"82488320\", alpha=\"0.12\", expect_size=\"32995328\"] \n  4 -> 32 [size =\"32995328\"]\n  4 -> 33 [size =\"32995328\"]\n  4 -> 34 [size =\"32995328\"]\n  4 -> 36 [size =\"32995328\"]\n  4 -> 40 [size =\"32995328\"]\n  5 [size=\"15024640\", alpha=\"0.08\", expect_size=\"6009856\"] \n  5 -> 32 [size =\"6009856\"]\n  5 -> 36 [size =\"6009856\"]\n  6 [size=\"103828480\", alpha=\"0.12\", expect_size=\"41531392\"] \n  6 -> 32 [size =\"41531392\"]\n  6 -> 39 [size =\"41531392\"]\n  7 [size=\"30538240\", alpha=\"0.12\", expect_size=\"12215296\"] \n  7 -> 31 [size =\"12215296\"]\n  7 -> 32 [size =\"12215296\"]\n  7 -> 34 [size =\"12215296\"]\n  8 [size=\"108162560\", alpha=\"0.18\", expect_size=\"43265024\"] \n  8 -> 32 [size =\"43265024\"]\n  8 -> 32 [size =\"43265024\"]\n  8 -> 36 [size =\"43265024\"]\n  8 -> 37 [size =\"43265024\"]\n  8 -> 38 [size =\"43265024\"]\n  8 -> 39 [size =\"43265024\"]\n  9 [size=\"45565440\", alpha=\"0.11\", expect_size=\"18226176\"] \n  9 -> 32 [size =\"18226176\"]\n  9 -> 34 [size =\"18226176\"]\n  9 -> 37 [size =\"18226176\"]\n  9 -> 39 [size =\"18226176\"]\n  10 [size=\"126059520\", alpha=\"0.03\", expect_size=\"50423808\"] \n  10 -> 32 [size =\"50423808\"]\n  10 -> 33 [size =\"50423808\"]\n  10 -> 34 [size =\"50423808\"]\n  10 -> 36 [size =\"50423808\"]\n  10 -> 37 [size =\"50423808\"]\n  10 -> 39 [size =\"50423808\"]\n  11 [size=\"127421440\", alpha=\"0.07\", expect_size=\"50968576\"] \n  11 -> 32 [size =\"50968576\"]\n  11 -> 33 [size =\"50968576\"]\n  11 -> 34 [size =\"50968576\"]\n  11 -> 36 [size =\"50968576\"]\n  11 -> 39 [size =\"50968576\"]\n  11 -> 40 [size =\"50968576\"]\n  12 [size=\"78205440\", alpha=\"0.11\", expect_size=\"31282176\"] \n  12 -> 32 [size =\"31282176\"]\n  12 -> 34 [size =\"31282176\"]\n  12 -> 36 [size =\"31282176\"]\n  12 -> 40 [size =\"31282176\"]\n  13 [size=\"109780480\", alpha=\"0.12\", expect_size=\"43912192\"] \n  13 -> 32 [size =\"43912192\"]\n  13 -> 34 [size =\"43912192\"]\n  14 [size=\"121820160\", alpha=\"0.12\", expect_size=\"48728064\"] \n  14 -> 32 [size =\"48728064\"]\n  14 -> 34 [size =\"48728064\"]\n  15 [size=\"75023360\", alpha=\"0.02\", expect_size=\"30009344\"] \n  15 -> 31 [size =\"30009344\"]\n  15 -> 32 [size =\"30009344\"]\n  15 -> 33 [size =\"30009344\"]\n  15 -> 34 [size =\"30009344\"]\n  15 -> 40 [size =\"30009344\"]\n  16 [size=\"123453440\", alpha=\"0.07\", expect_size=\"49381376\"] \n  16 -> 34 [size =\"49381376\"]\n  16 -> 36 [size =\"49381376\"]\n  16 -> 38 [size =\"49381376\"]\n  16 -> 39 [size =\"49381376\"]\n  16 -> 40 [size =\"49381376\"]\n  17 [size=\"75479040\", alpha=\"0.04\", expect_size=\"30191616\"] \n  17 -> 33 [size =\"30191616\"]\n  17 -> 34 [size =\"30191616\"]\n  17 -> 37 [size =\"30191616\"]\n  17 -> 38 [size =\"30191616\"]\n  17 -> 40 [size =\"30191616\"]\n  18 [size=\"29872640\", alpha=\"0.19\", expect_size=\"11949056\"] \n  18 -> 32 [size =\"11949056\"]\n  18 -> 34 [size =\"11949056\"]\n  18 -> 38 [size =\"11949056\"]\n  18 -> 38 [size =\"11949056\"]\n  18 -> 39 [size =\"11949056\"]\n  18 -> 40 [size =\"11949056\"]\n  19 [size=\"20792320\", alpha=\"0.07\", expect_size=\"8316928\"] \n  19 -> 31 [size =\"8316928\"]\n  19 -> 32 [size =\"8316928\"]\n  19 -> 33 [size =\"8316928\"]\n  19 -> 34 [size =\"8316928\"]\n  19 -> 36 [size =\"8316928\"]\n  19 -> 38 [size =\"8316928\"]\n  20 [size=\"82798080\", alpha=\"0.12\", expect_size=\"33119232\"] \n  20 -> 32 [size =\"33119232\"]\n  20 -> 32 [size =\"33119232\"]\n  20 -> 33 [size =\"33119232\"]\n  20 -> 34 [size =\"33119232\"]\n  20 -> 36 [size =\"33119232\"]\n  20 -> 38 [size =\"33119232\"]\n  20 -> 39 [size =\"33119232\"]\n  20 -> 40 [size =\"33119232\"]\n  21 [size=\"99427840\", alpha=\"0.15\", expect_size=\"39771136\"] \n  21 -> 31 [size =\"39771136\"]\n  21 -> 37 [size =\"39771136\"]\n  21 -> 40 [size =\"39771136\"]\n  22 [size=\"22264320\", alpha=\"0.17\", expect_size=\"8905728\"] \n  22 -> 33 [size =\"8905728\"]\n  22 -> 34 [size =\"8905728\"]\n  22 -> 36 [size =\"8905728\"]\n  23 [size=\"87971840\", alpha=\"0.18\", expect_size=\"35188736\"] \n  23 -> 36 [size =\"35188736\"]\n  23 -> 39 [size =\"35188736\"]\n  24 [size=\"39060480\", alpha=\"0.11\", expect_size=\"15624192\"] \n  24 -> 31 [size =\"15624192\"]\n  24 -> 33 [size =\"15624192\"]\n  24 -> 36 [size =\"15624192\"]\n  24 -> 38 [size =\"15624192\"]\n  25 [size=\"109063680\", alpha=\"0.04\", expect_size=\"43625472\"] \n  25 -> 33 [size =\"43625472\"]\n  25 -> 37 [size =\"43625472\"]\n  25 -> 38 [size =\"43625472\"]\n  25 -> 40 [size =\"43625472\"]\n  26 [size=\"118712320\", alpha=\"0.13\", expect_size=\"47484928\"] \n  26 -> 35 [size =\"47484928\"]\n  26 -> 40 [size =\"47484928\"]\n  27 [size=\"44567040\", alpha=\"0.04\", expect_size=\"17826816\"] \n  27 -> 31 [size =\"17826816\"]\n  27 -> 34 [size =\"17826816\"]\n  27 -> 36 [size =\"17826816\"]\n  27 -> 37 [size =\"17826816\"]\n  27 -> 39 [size =\"17826816\"]\n  28 [size=\"68451840\", alpha=\"0.12\", expect_size=\"27380736\"] \n  28 -> 34 [size =\"27380736\"]\n  28 -> 36 [size =\"27380736\"]\n  28 -> 37 [size =\"27380736\"]\n  29 [size=\"61952000\", alpha=\"0.05\", expect_size=\"24780800\"] \n  29 -> 32 [size =\"24780800\"]\n  29 -> 33 [size =\"24780800\"]\n  29 -> 36 [size =\"24780800\"]\n  30 [size=\"105492480\", alpha=\"0.17\", expect_size=\"42196992\"] \n  30 -> 38 [size =\"42196992\"]\n  30 -> 40 [size =\"42196992\"]\n  31 [size=\"58485760\", alpha=\"0.09\", expect_size=\"23394304\"] \n  32 [size=\"29299200\", alpha=\"0.12\", expect_size=\"11719680\"] \n  33 [size=\"13201920\", alpha=\"0.11\", expect_size=\"5280768\"] \n  34 [size=\"121287680\", alpha=\"0.08\", expect_size=\"48515072\"] \n  35 [size=\"69040640\", alpha=\"0.16\", expect_size=\"27616256\"] \n  36 [size=\"94310400\", alpha=\"0.03\", expect_size=\"37724160\"] \n  37 [size=\"51891200\", alpha=\"0.00\", expect_size=\"20756480\"] \n  38 [size=\"77181440\", alpha=\"0.00\", expect_size=\"30872576\"] \n  39 [size=\"29306880\", alpha=\"0.02\", expect_size=\"11722752\"] \n  40 [size=\"58695680\", alpha=\"0.15\", expect_size=\"23478272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81899520\", alpha=\"0.16\", expect_size=\"24569856\"] \n  1 -> 5 [size =\"24569856\"]\n  2 [size=\"124207787\", alpha=\"0.06\", expect_size=\"37262336\"] \n  2 -> 3 [size =\"37262336\"]\n  2 -> 4 [size =\"37262336\"]\n  3 [size=\"165713920\", alpha=\"0.11\", expect_size=\"49714176\"] \n  3 -> 7 [size =\"49714176\"]\n  4 [size=\"49780053\", alpha=\"0.14\", expect_size=\"14934016\"] \n  4 -> 6 [size =\"14934016\"]\n  5 [size=\"67795627\", alpha=\"0.12\", expect_size=\"20338688\"] \n  5 -> 6 [size =\"20338688\"]\n  5 -> 7 [size =\"20338688\"]\n  6 [size=\"91456853\", alpha=\"0.09\", expect_size=\"27437056\"] \n  6 -> 8 [size =\"27437056\"]\n  6 -> 10 [size =\"27437056\"]\n  7 [size=\"95457280\", alpha=\"0.08\", expect_size=\"28637184\"] \n  7 -> 8 [size =\"28637184\"]\n  7 -> 9 [size =\"28637184\"]\n  8 [size=\"80278187\", alpha=\"0.15\", expect_size=\"24083456\"] \n  8 -> 12 [size =\"24083456\"]\n  8 -> 13 [size =\"24083456\"]\n  9 [size=\"167601493\", alpha=\"0.18\", expect_size=\"50280448\"] \n  9 -> 13 [size =\"50280448\"]\n  10 [size=\"154255360\", alpha=\"0.02\", expect_size=\"46276608\"] \n  10 -> 11 [size =\"46276608\"]\n  10 -> 12 [size =\"46276608\"]\n  11 [size=\"76171947\", alpha=\"0.07\", expect_size=\"22851584\"] \n  11 -> 15 [size =\"22851584\"]\n  11 -> 16 [size =\"22851584\"]\n  12 [size=\"45141333\", alpha=\"0.06\", expect_size=\"13542400\"] \n  12 -> 14 [size =\"13542400\"]\n  13 [size=\"92156587\", alpha=\"0.16\", expect_size=\"27646976\"] \n  13 -> 14 [size =\"27646976\"]\n  14 [size=\"22319787\", alpha=\"0.04\", expect_size=\"6695936\"] \n  14 -> 17 [size =\"6695936\"]\n  14 -> 19 [size =\"6695936\"]\n  15 [size=\"133120000\", alpha=\"0.09\", expect_size=\"39936000\"] \n  15 -> 18 [size =\"39936000\"]\n  16 [size=\"69758293\", alpha=\"0.20\", expect_size=\"20927488\"] \n  16 -> 17 [size =\"20927488\"]\n  16 -> 18 [size =\"20927488\"]\n  16 -> 19 [size =\"20927488\"]\n  17 [size=\"138557440\", alpha=\"0.08\", expect_size=\"41567232\"] \n  18 [size=\"42810027\", alpha=\"0.14\", expect_size=\"12843008\"] \n  18 -> 21 [size =\"12843008\"]\n  19 [size=\"161163947\", alpha=\"0.15\", expect_size=\"48349184\"] \n  19 -> 20 [size =\"48349184\"]\n  19 -> 21 [size =\"48349184\"]\n  20 [size=\"141902507\", alpha=\"0.12\", expect_size=\"42570752\"] \n  20 -> 23 [size =\"42570752\"]\n  20 -> 24 [size =\"42570752\"]\n  21 [size=\"155910827\", alpha=\"0.17\", expect_size=\"46773248\"] \n  21 -> 22 [size =\"46773248\"]\n  22 [size=\"56538453\", alpha=\"0.16\", expect_size=\"16961536\"] \n  22 -> 25 [size =\"16961536\"]\n  22 -> 26 [size =\"16961536\"]\n  23 [size=\"102365867\", alpha=\"0.13\", expect_size=\"30709760\"] \n  23 -> 25 [size =\"30709760\"]\n  23 -> 27 [size =\"30709760\"]\n  24 [size=\"73646080\", alpha=\"0.15\", expect_size=\"22093824\"] \n  24 -> 26 [size =\"22093824\"]\n  25 [size=\"106202453\", alpha=\"0.03\", expect_size=\"31860736\"] \n  25 -> 28 [size =\"31860736\"]\n  25 -> 29 [size =\"31860736\"]\n  26 [size=\"173312000\", alpha=\"0.00\", expect_size=\"51993600\"] \n  27 [size=\"170089813\", alpha=\"0.07\", expect_size=\"51026944\"] \n  27 -> 29 [size =\"51026944\"]\n  28 [size=\"72355840\", alpha=\"0.03\", expect_size=\"21706752\"] \n  28 -> 30 [size =\"21706752\"]\n  29 [size=\"27084800\", alpha=\"0.17\", expect_size=\"8125440\"] \n  29 -> 31 [size =\"8125440\"]\n  29 -> 32 [size =\"8125440\"]\n  30 [size=\"144250880\", alpha=\"0.09\", expect_size=\"43275264\"] \n  30 -> 33 [size =\"43275264\"]\n  31 [size=\"79769600\", alpha=\"0.08\", expect_size=\"23930880\"] \n  31 -> 34 [size =\"23930880\"]\n  31 -> 35 [size =\"23930880\"]\n  32 [size=\"55354027\", alpha=\"0.11\", expect_size=\"16606208\"] \n  32 -> 33 [size =\"16606208\"]\n  33 [size=\"20449280\", alpha=\"0.03\", expect_size=\"6134784\"] \n  34 [size=\"123293013\", alpha=\"0.16\", expect_size=\"36987904\"] \n  34 -> 36 [size =\"36987904\"]\n  34 -> 37 [size =\"36987904\"]\n  35 [size=\"81626453\", alpha=\"0.04\", expect_size=\"24487936\"] \n  35 -> 36 [size =\"24487936\"]\n  35 -> 37 [size =\"24487936\"]\n  36 [size=\"103048533\", alpha=\"0.18\", expect_size=\"30914560\"] \n  36 -> 38 [size =\"30914560\"]\n  36 -> 39 [size =\"30914560\"]\n  36 -> 40 [size =\"30914560\"]\n  37 [size=\"104256853\", alpha=\"0.08\", expect_size=\"31277056\"] \n  37 -> 40 [size =\"31277056\"]\n  38 [size=\"163239253\", alpha=\"0.01\", expect_size=\"48971776\"] \n  39 [size=\"28221440\", alpha=\"0.12\", expect_size=\"8466432\"] \n  40 [size=\"163908267\", alpha=\"0.19\", expect_size=\"49172480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38085973\", alpha=\"0.16\", expect_size=\"11425792\"] \n  1 -> 31 [size =\"11425792\"]\n  1 -> 32 [size =\"11425792\"]\n  1 -> 33 [size =\"11425792\"]\n  1 -> 34 [size =\"11425792\"]\n  1 -> 37 [size =\"11425792\"]\n  1 -> 40 [size =\"11425792\"]\n  2 [size=\"150469973\", alpha=\"0.09\", expect_size=\"45140992\"] \n  2 -> 26 [size =\"45140992\"]\n  2 -> 31 [size =\"45140992\"]\n  2 -> 32 [size =\"45140992\"]\n  2 -> 33 [size =\"45140992\"]\n  2 -> 36 [size =\"45140992\"]\n  2 -> 37 [size =\"45140992\"]\n  2 -> 40 [size =\"45140992\"]\n  3 [size=\"43697493\", alpha=\"0.03\", expect_size=\"13109248\"] \n  3 -> 20 [size =\"13109248\"]\n  3 -> 23 [size =\"13109248\"]\n  3 -> 26 [size =\"13109248\"]\n  3 -> 27 [size =\"13109248\"]\n  3 -> 33 [size =\"13109248\"]\n  3 -> 36 [size =\"13109248\"]\n  3 -> 40 [size =\"13109248\"]\n  4 [size=\"55169707\", alpha=\"0.16\", expect_size=\"16550912\"] \n  4 -> 22 [size =\"16550912\"]\n  4 -> 27 [size =\"16550912\"]\n  4 -> 29 [size =\"16550912\"]\n  4 -> 33 [size =\"16550912\"]\n  4 -> 37 [size =\"16550912\"]\n  4 -> 40 [size =\"16550912\"]\n  4 -> 40 [size =\"16550912\"]\n  5 [size=\"94177280\", alpha=\"0.13\", expect_size=\"28253184\"] \n  5 -> 21 [size =\"28253184\"]\n  5 -> 27 [size =\"28253184\"]\n  5 -> 30 [size =\"28253184\"]\n  5 -> 33 [size =\"28253184\"]\n  5 -> 34 [size =\"28253184\"]\n  5 -> 38 [size =\"28253184\"]\n  5 -> 39 [size =\"28253184\"]\n  5 -> 40 [size =\"28253184\"]\n  6 [size=\"148394667\", alpha=\"0.15\", expect_size=\"44518400\"] \n  6 -> 27 [size =\"44518400\"]\n  6 -> 32 [size =\"44518400\"]\n  6 -> 37 [size =\"44518400\"]\n  7 [size=\"166109867\", alpha=\"0.09\", expect_size=\"49832960\"] \n  7 -> 20 [size =\"49832960\"]\n  7 -> 29 [size =\"49832960\"]\n  7 -> 30 [size =\"49832960\"]\n  7 -> 35 [size =\"49832960\"]\n  7 -> 37 [size =\"49832960\"]\n  8 [size=\"64641707\", alpha=\"0.17\", expect_size=\"19392512\"] \n  8 -> 20 [size =\"19392512\"]\n  8 -> 25 [size =\"19392512\"]\n  8 -> 31 [size =\"19392512\"]\n  8 -> 34 [size =\"19392512\"]\n  8 -> 35 [size =\"19392512\"]\n  9 [size=\"37283840\", alpha=\"0.18\", expect_size=\"11185152\"] \n  9 -> 20 [size =\"11185152\"]\n  9 -> 26 [size =\"11185152\"]\n  9 -> 28 [size =\"11185152\"]\n  9 -> 30 [size =\"11185152\"]\n  9 -> 31 [size =\"11185152\"]\n  9 -> 34 [size =\"11185152\"]\n  9 -> 37 [size =\"11185152\"]\n  10 [size=\"131840000\", alpha=\"0.19\", expect_size=\"39552000\"] \n  10 -> 30 [size =\"39552000\"]\n  10 -> 34 [size =\"39552000\"]\n  10 -> 35 [size =\"39552000\"]\n  10 -> 37 [size =\"39552000\"]\n  11 [size=\"158064640\", alpha=\"0.09\", expect_size=\"47419392\"] \n  11 -> 23 [size =\"47419392\"]\n  11 -> 25 [size =\"47419392\"]\n  11 -> 26 [size =\"47419392\"]\n  11 -> 30 [size =\"47419392\"]\n  11 -> 32 [size =\"47419392\"]\n  11 -> 34 [size =\"47419392\"]\n  11 -> 37 [size =\"47419392\"]\n  11 -> 38 [size =\"47419392\"]\n  11 -> 40 [size =\"47419392\"]\n  12 [size=\"130109440\", alpha=\"0.12\", expect_size=\"39032832\"] \n  12 -> 24 [size =\"39032832\"]\n  12 -> 30 [size =\"39032832\"]\n  12 -> 32 [size =\"39032832\"]\n  12 -> 34 [size =\"39032832\"]\n  12 -> 36 [size =\"39032832\"]\n  12 -> 38 [size =\"39032832\"]\n  13 [size=\"43857920\", alpha=\"0.09\", expect_size=\"13157376\"] \n  13 -> 35 [size =\"13157376\"]\n  13 -> 40 [size =\"13157376\"]\n  14 [size=\"66566827\", alpha=\"0.12\", expect_size=\"19970048\"] \n  14 -> 29 [size =\"19970048\"]\n  14 -> 30 [size =\"19970048\"]\n  14 -> 32 [size =\"19970048\"]\n  14 -> 35 [size =\"19970048\"]\n  14 -> 36 [size =\"19970048\"]\n  14 -> 38 [size =\"19970048\"]\n  15 [size=\"37536427\", alpha=\"0.08\", expect_size=\"11260928\"] \n  15 -> 20 [size =\"11260928\"]\n  15 -> 21 [size =\"11260928\"]\n  15 -> 32 [size =\"11260928\"]\n  15 -> 34 [size =\"11260928\"]\n  15 -> 35 [size =\"11260928\"]\n  15 -> 38 [size =\"11260928\"]\n  16 [size=\"138625707\", alpha=\"0.19\", expect_size=\"41587712\"] \n  16 -> 20 [size =\"41587712\"]\n  16 -> 28 [size =\"41587712\"]\n  16 -> 30 [size =\"41587712\"]\n  16 -> 31 [size =\"41587712\"]\n  16 -> 32 [size =\"41587712\"]\n  16 -> 35 [size =\"41587712\"]\n  16 -> 36 [size =\"41587712\"]\n  17 [size=\"98856960\", alpha=\"0.11\", expect_size=\"29657088\"] \n  17 -> 25 [size =\"29657088\"]\n  17 -> 26 [size =\"29657088\"]\n  17 -> 30 [size =\"29657088\"]\n  17 -> 34 [size =\"29657088\"]\n  17 -> 35 [size =\"29657088\"]\n  18 [size=\"166799360\", alpha=\"0.04\", expect_size=\"50039808\"] \n  18 -> 20 [size =\"50039808\"]\n  18 -> 23 [size =\"50039808\"]\n  18 -> 26 [size =\"50039808\"]\n  18 -> 27 [size =\"50039808\"]\n  18 -> 31 [size =\"50039808\"]\n  18 -> 33 [size =\"50039808\"]\n  18 -> 34 [size =\"50039808\"]\n  18 -> 37 [size =\"50039808\"]\n  19 [size=\"142964053\", alpha=\"0.18\", expect_size=\"42889216\"] \n  19 -> 25 [size =\"42889216\"]\n  19 -> 33 [size =\"42889216\"]\n  19 -> 36 [size =\"42889216\"]\n  19 -> 38 [size =\"42889216\"]\n  19 -> 40 [size =\"42889216\"]\n  20 [size=\"128003413\", alpha=\"0.12\", expect_size=\"38401024\"] \n  21 [size=\"120869547\", alpha=\"0.09\", expect_size=\"36260864\"] \n  22 [size=\"32935253\", alpha=\"0.02\", expect_size=\"9880576\"] \n  23 [size=\"126870187\", alpha=\"0.19\", expect_size=\"38061056\"] \n  24 [size=\"42806613\", alpha=\"0.01\", expect_size=\"12841984\"] \n  25 [size=\"134082560\", alpha=\"0.13\", expect_size=\"40224768\"] \n  26 [size=\"41123840\", alpha=\"0.01\", expect_size=\"12337152\"] \n  27 [size=\"37027840\", alpha=\"0.08\", expect_size=\"11108352\"] \n  28 [size=\"119606613\", alpha=\"0.01\", expect_size=\"35881984\"] \n  29 [size=\"149473280\", alpha=\"0.16\", expect_size=\"44841984\"] \n  30 [size=\"133959680\", alpha=\"0.06\", expect_size=\"40187904\"] \n  31 [size=\"71768747\", alpha=\"0.14\", expect_size=\"21530624\"] \n  32 [size=\"140796587\", alpha=\"0.17\", expect_size=\"42238976\"] \n  33 [size=\"159470933\", alpha=\"0.02\", expect_size=\"47841280\"] \n  34 [size=\"154009600\", alpha=\"0.14\", expect_size=\"46202880\"] \n  35 [size=\"162106027\", alpha=\"0.08\", expect_size=\"48631808\"] \n  36 [size=\"103178240\", alpha=\"0.18\", expect_size=\"30953472\"] \n  37 [size=\"108144640\", alpha=\"0.19\", expect_size=\"32443392\"] \n  38 [size=\"168355840\", alpha=\"0.18\", expect_size=\"50506752\"] \n  39 [size=\"173687467\", alpha=\"0.13\", expect_size=\"52106240\"] \n  40 [size=\"143953920\", alpha=\"0.02\", expect_size=\"43186176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37133653\", alpha=\"0.06\", expect_size=\"11140096\"] \n  1 -> 20 [size =\"11140096\"]\n  1 -> 27 [size =\"11140096\"]\n  1 -> 28 [size =\"11140096\"]\n  2 [size=\"76701013\", alpha=\"0.15\", expect_size=\"23010304\"] \n  2 -> 20 [size =\"23010304\"]\n  2 -> 23 [size =\"23010304\"]\n  2 -> 27 [size =\"23010304\"]\n  3 [size=\"23070720\", alpha=\"0.11\", expect_size=\"6921216\"] \n  3 -> 26 [size =\"6921216\"]\n  3 -> 27 [size =\"6921216\"]\n  3 -> 27 [size =\"6921216\"]\n  4 [size=\"82739200\", alpha=\"0.09\", expect_size=\"24821760\"] \n  4 -> 21 [size =\"24821760\"]\n  4 -> 28 [size =\"24821760\"]\n  5 [size=\"56016213\", alpha=\"0.17\", expect_size=\"16804864\"] \n  5 -> 23 [size =\"16804864\"]\n  5 -> 28 [size =\"16804864\"]\n  6 [size=\"87927467\", alpha=\"0.12\", expect_size=\"26378240\"] \n  6 -> 20 [size =\"26378240\"]\n  6 -> 24 [size =\"26378240\"]\n  6 -> 26 [size =\"26378240\"]\n  6 -> 27 [size =\"26378240\"]\n  7 [size=\"120545280\", alpha=\"0.01\", expect_size=\"36163584\"] \n  7 -> 18 [size =\"36163584\"]\n  7 -> 20 [size =\"36163584\"]\n  7 -> 22 [size =\"36163584\"]\n  7 -> 26 [size =\"36163584\"]\n  8 [size=\"36177920\", alpha=\"0.11\", expect_size=\"10853376\"] \n  8 -> 17 [size =\"10853376\"]\n  8 -> 18 [size =\"10853376\"]\n  8 -> 20 [size =\"10853376\"]\n  8 -> 22 [size =\"10853376\"]\n  8 -> 24 [size =\"10853376\"]\n  8 -> 26 [size =\"10853376\"]\n  9 [size=\"32576853\", alpha=\"0.17\", expect_size=\"9773056\"] \n  9 -> 18 [size =\"9773056\"]\n  9 -> 23 [size =\"9773056\"]\n  9 -> 24 [size =\"9773056\"]\n  9 -> 26 [size =\"9773056\"]\n  9 -> 27 [size =\"9773056\"]\n  9 -> 28 [size =\"9773056\"]\n  10 [size=\"163307520\", alpha=\"0.07\", expect_size=\"48992256\"] \n  10 -> 19 [size =\"48992256\"]\n  10 -> 23 [size =\"48992256\"]\n  11 [size=\"121494187\", alpha=\"0.00\", expect_size=\"36448256\"] \n  11 -> 17 [size =\"36448256\"]\n  11 -> 19 [size =\"36448256\"]\n  11 -> 24 [size =\"36448256\"]\n  12 [size=\"166236160\", alpha=\"0.11\", expect_size=\"49870848\"] \n  12 -> 24 [size =\"49870848\"]\n  12 -> 26 [size =\"49870848\"]\n  13 [size=\"130727253\", alpha=\"0.14\", expect_size=\"39218176\"] \n  13 -> 19 [size =\"39218176\"]\n  13 -> 20 [size =\"39218176\"]\n  13 -> 21 [size =\"39218176\"]\n  13 -> 25 [size =\"39218176\"]\n  13 -> 28 [size =\"39218176\"]\n  14 [size=\"61388800\", alpha=\"0.13\", expect_size=\"18416640\"] \n  14 -> 18 [size =\"18416640\"]\n  14 -> 20 [size =\"18416640\"]\n  14 -> 24 [size =\"18416640\"]\n  14 -> 25 [size =\"18416640\"]\n  15 [size=\"134611627\", alpha=\"0.13\", expect_size=\"40383488\"] \n  15 -> 19 [size =\"40383488\"]\n  15 -> 25 [size =\"40383488\"]\n  16 [size=\"111697920\", alpha=\"0.04\", expect_size=\"33509376\"] \n  16 -> 19 [size =\"33509376\"]\n  16 -> 21 [size =\"33509376\"]\n  16 -> 23 [size =\"33509376\"]\n  16 -> 28 [size =\"33509376\"]\n  17 [size=\"45899093\", alpha=\"0.10\", expect_size=\"13769728\"] \n  17 -> 31 [size =\"13769728\"]\n  17 -> 33 [size =\"13769728\"]\n  17 -> 36 [size =\"13769728\"]\n  17 -> 37 [size =\"13769728\"]\n  17 -> 39 [size =\"13769728\"]\n  18 [size=\"50971307\", alpha=\"0.06\", expect_size=\"15291392\"] \n  18 -> 31 [size =\"15291392\"]\n  18 -> 32 [size =\"15291392\"]\n  18 -> 37 [size =\"15291392\"]\n  18 -> 39 [size =\"15291392\"]\n  19 [size=\"134884693\", alpha=\"0.08\", expect_size=\"40465408\"] \n  19 -> 31 [size =\"40465408\"]\n  19 -> 34 [size =\"40465408\"]\n  19 -> 37 [size =\"40465408\"]\n  20 [size=\"109769387\", alpha=\"0.05\", expect_size=\"32930816\"] \n  20 -> 34 [size =\"32930816\"]\n  20 -> 39 [size =\"32930816\"]\n  21 [size=\"161716907\", alpha=\"0.04\", expect_size=\"48515072\"] \n  21 -> 29 [size =\"48515072\"]\n  21 -> 30 [size =\"48515072\"]\n  21 -> 31 [size =\"48515072\"]\n  21 -> 32 [size =\"48515072\"]\n  21 -> 35 [size =\"48515072\"]\n  21 -> 36 [size =\"48515072\"]\n  21 -> 38 [size =\"48515072\"]\n  21 -> 40 [size =\"48515072\"]\n  22 [size=\"164423680\", alpha=\"0.11\", expect_size=\"49327104\"] \n  22 -> 32 [size =\"49327104\"]\n  22 -> 33 [size =\"49327104\"]\n  22 -> 34 [size =\"49327104\"]\n  22 -> 37 [size =\"49327104\"]\n  22 -> 38 [size =\"49327104\"]\n  23 [size=\"94416213\", alpha=\"0.19\", expect_size=\"28324864\"] \n  23 -> 32 [size =\"28324864\"]\n  23 -> 34 [size =\"28324864\"]\n  23 -> 37 [size =\"28324864\"]\n  23 -> 38 [size =\"28324864\"]\n  24 [size=\"49384107\", alpha=\"0.15\", expect_size=\"14815232\"] \n  24 -> 30 [size =\"14815232\"]\n  24 -> 32 [size =\"14815232\"]\n  24 -> 33 [size =\"14815232\"]\n  24 -> 37 [size =\"14815232\"]\n  24 -> 39 [size =\"14815232\"]\n  24 -> 40 [size =\"14815232\"]\n  25 [size=\"148070400\", alpha=\"0.16\", expect_size=\"44421120\"] \n  25 -> 30 [size =\"44421120\"]\n  25 -> 35 [size =\"44421120\"]\n  25 -> 36 [size =\"44421120\"]\n  25 -> 38 [size =\"44421120\"]\n  26 [size=\"89473707\", alpha=\"0.06\", expect_size=\"26842112\"] \n  26 -> 30 [size =\"26842112\"]\n  26 -> 31 [size =\"26842112\"]\n  26 -> 34 [size =\"26842112\"]\n  26 -> 35 [size =\"26842112\"]\n  26 -> 39 [size =\"26842112\"]\n  27 [size=\"119603200\", alpha=\"0.08\", expect_size=\"35880960\"] \n  27 -> 29 [size =\"35880960\"]\n  27 -> 30 [size =\"35880960\"]\n  27 -> 34 [size =\"35880960\"]\n  28 [size=\"44352853\", alpha=\"0.14\", expect_size=\"13305856\"] \n  28 -> 29 [size =\"13305856\"]\n  28 -> 33 [size =\"13305856\"]\n  28 -> 39 [size =\"13305856\"]\n  29 [size=\"94696107\", alpha=\"0.01\", expect_size=\"28408832\"] \n  30 [size=\"157661867\", alpha=\"0.07\", expect_size=\"47298560\"] \n  31 [size=\"39028053\", alpha=\"0.06\", expect_size=\"11708416\"] \n  32 [size=\"73028267\", alpha=\"0.04\", expect_size=\"21908480\"] \n  33 [size=\"161604267\", alpha=\"0.16\", expect_size=\"48481280\"] \n  34 [size=\"153067520\", alpha=\"0.14\", expect_size=\"45920256\"] \n  35 [size=\"112680960\", alpha=\"0.07\", expect_size=\"33804288\"] \n  36 [size=\"78984533\", alpha=\"0.11\", expect_size=\"23695360\"] \n  37 [size=\"122436267\", alpha=\"0.20\", expect_size=\"36730880\"] \n  38 [size=\"31528960\", alpha=\"0.12\", expect_size=\"9458688\"] \n  39 [size=\"139540480\", alpha=\"0.20\", expect_size=\"41862144\"] \n  40 [size=\"147005440\", alpha=\"0.19\", expect_size=\"44101632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92524544\", alpha=\"0.17\", expect_size=\"46262272\"] \n  1 -> 3 [size =\"46262272\"]\n  1 -> 4 [size =\"46262272\"]\n  2 [size=\"94937088\", alpha=\"0.15\", expect_size=\"47468544\"] \n  2 -> 5 [size =\"47468544\"]\n  3 [size=\"33492992\", alpha=\"0.02\", expect_size=\"16746496\"] \n  3 -> 7 [size =\"16746496\"]\n  4 [size=\"35637248\", alpha=\"0.10\", expect_size=\"17818624\"] \n  5 [size=\"36540416\", alpha=\"0.13\", expect_size=\"18270208\"] \n  5 -> 6 [size =\"18270208\"]\n  5 -> 7 [size =\"18270208\"]\n  6 [size=\"82165760\", alpha=\"0.00\", expect_size=\"41082880\"] \n  6 -> 8 [size =\"41082880\"]\n  6 -> 9 [size =\"41082880\"]\n  7 [size=\"12986368\", alpha=\"0.05\", expect_size=\"6493184\"] \n  7 -> 8 [size =\"6493184\"]\n  8 [size=\"69664768\", alpha=\"0.13\", expect_size=\"34832384\"] \n  8 -> 10 [size =\"34832384\"]\n  9 [size=\"89223168\", alpha=\"0.00\", expect_size=\"44611584\"] \n  9 -> 10 [size =\"44611584\"]\n  9 -> 11 [size =\"44611584\"]\n  9 -> 12 [size =\"44611584\"]\n  10 [size=\"62824448\", alpha=\"0.19\", expect_size=\"31412224\"] \n  10 -> 13 [size =\"31412224\"]\n  11 [size=\"31449088\", alpha=\"0.17\", expect_size=\"15724544\"] \n  12 [size=\"16189440\", alpha=\"0.02\", expect_size=\"8094720\"] \n  12 -> 13 [size =\"8094720\"]\n  12 -> 14 [size =\"8094720\"]\n  13 [size=\"88719360\", alpha=\"0.07\", expect_size=\"44359680\"] \n  13 -> 15 [size =\"44359680\"]\n  13 -> 16 [size =\"44359680\"]\n  13 -> 17 [size =\"44359680\"]\n  14 [size=\"96641024\", alpha=\"0.17\", expect_size=\"48320512\"] \n  14 -> 15 [size =\"48320512\"]\n  15 [size=\"48902144\", alpha=\"0.06\", expect_size=\"24451072\"] \n  15 -> 20 [size =\"24451072\"]\n  16 [size=\"17565696\", alpha=\"0.12\", expect_size=\"8782848\"] \n  16 -> 18 [size =\"8782848\"]\n  16 -> 19 [size =\"8782848\"]\n  17 [size=\"18448384\", alpha=\"0.10\", expect_size=\"9224192\"] \n  17 -> 18 [size =\"9224192\"]\n  18 [size=\"40898560\", alpha=\"0.19\", expect_size=\"20449280\"] \n  18 -> 21 [size =\"20449280\"]\n  18 -> 22 [size =\"20449280\"]\n  19 [size=\"99993600\", alpha=\"0.13\", expect_size=\"49996800\"] \n  19 -> 21 [size =\"49996800\"]\n  20 [size=\"101220352\", alpha=\"0.17\", expect_size=\"50610176\"] \n  21 [size=\"98060288\", alpha=\"0.18\", expect_size=\"49030144\"] \n  21 -> 23 [size =\"49030144\"]\n  22 [size=\"84408320\", alpha=\"0.17\", expect_size=\"42204160\"] \n  22 -> 23 [size =\"42204160\"]\n  22 -> 24 [size =\"42204160\"]\n  23 [size=\"92813312\", alpha=\"0.01\", expect_size=\"46406656\"] \n  23 -> 26 [size =\"46406656\"]\n  24 [size=\"33599488\", alpha=\"0.11\", expect_size=\"16799744\"] \n  24 -> 25 [size =\"16799744\"]\n  24 -> 26 [size =\"16799744\"]\n  25 [size=\"18180096\", alpha=\"0.06\", expect_size=\"9090048\"] \n  25 -> 27 [size =\"9090048\"]\n  25 -> 28 [size =\"9090048\"]\n  26 [size=\"48189440\", alpha=\"0.16\", expect_size=\"24094720\"] \n  26 -> 27 [size =\"24094720\"]\n  26 -> 28 [size =\"24094720\"]\n  27 [size=\"12163072\", alpha=\"0.06\", expect_size=\"6081536\"] \n  27 -> 31 [size =\"6081536\"]\n  28 [size=\"57161728\", alpha=\"0.09\", expect_size=\"28580864\"] \n  28 -> 29 [size =\"28580864\"]\n  28 -> 30 [size =\"28580864\"]\n  28 -> 31 [size =\"28580864\"]\n  29 [size=\"54050816\", alpha=\"0.09\", expect_size=\"27025408\"] \n  29 -> 33 [size =\"27025408\"]\n  29 -> 34 [size =\"27025408\"]\n  30 [size=\"20021248\", alpha=\"0.00\", expect_size=\"10010624\"] \n  30 -> 32 [size =\"10010624\"]\n  30 -> 34 [size =\"10010624\"]\n  31 [size=\"98762752\", alpha=\"0.16\", expect_size=\"49381376\"] \n  31 -> 32 [size =\"49381376\"]\n  31 -> 33 [size =\"49381376\"]\n  32 [size=\"89200640\", alpha=\"0.12\", expect_size=\"44600320\"] \n  32 -> 35 [size =\"44600320\"]\n  32 -> 36 [size =\"44600320\"]\n  33 [size=\"75786240\", alpha=\"0.05\", expect_size=\"37893120\"] \n  33 -> 35 [size =\"37893120\"]\n  33 -> 37 [size =\"37893120\"]\n  34 [size=\"81524736\", alpha=\"0.17\", expect_size=\"40762368\"] \n  34 -> 37 [size =\"40762368\"]\n  35 [size=\"37199872\", alpha=\"0.16\", expect_size=\"18599936\"] \n  36 [size=\"63240192\", alpha=\"0.18\", expect_size=\"31620096\"] \n  37 [size=\"42579968\", alpha=\"0.00\", expect_size=\"21289984\"] \n  37 -> 38 [size =\"21289984\"]\n  37 -> 39 [size =\"21289984\"]\n  37 -> 40 [size =\"21289984\"]\n  38 [size=\"72095744\", alpha=\"0.10\", expect_size=\"36047872\"] \n  39 [size=\"22222848\", alpha=\"0.18\", expect_size=\"11111424\"] \n  40 [size=\"66072576\", alpha=\"0.05\", expect_size=\"33036288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121978880\", alpha=\"0.06\", expect_size=\"48791552\"] \n  1 -> 10 [size =\"48791552\"]\n  1 -> 15 [size =\"48791552\"]\n  1 -> 17 [size =\"48791552\"]\n  2 [size=\"38766080\", alpha=\"0.17\", expect_size=\"15506432\"] \n  2 -> 10 [size =\"15506432\"]\n  2 -> 16 [size =\"15506432\"]\n  3 [size=\"36234240\", alpha=\"0.00\", expect_size=\"14493696\"] \n  3 -> 16 [size =\"14493696\"]\n  3 -> 17 [size =\"14493696\"]\n  4 [size=\"86238720\", alpha=\"0.02\", expect_size=\"34495488\"] \n  4 -> 10 [size =\"34495488\"]\n  4 -> 11 [size =\"34495488\"]\n  4 -> 12 [size =\"34495488\"]\n  4 -> 17 [size =\"34495488\"]\n  5 [size=\"98644480\", alpha=\"0.14\", expect_size=\"39457792\"] \n  5 -> 16 [size =\"39457792\"]\n  5 -> 17 [size =\"39457792\"]\n  6 [size=\"37839360\", alpha=\"0.17\", expect_size=\"15135744\"] \n  6 -> 14 [size =\"15135744\"]\n  7 [size=\"29483520\", alpha=\"0.11\", expect_size=\"11793408\"] \n  7 -> 10 [size =\"11793408\"]\n  7 -> 14 [size =\"11793408\"]\n  7 -> 15 [size =\"11793408\"]\n  8 [size=\"97159680\", alpha=\"0.08\", expect_size=\"38863872\"] \n  8 -> 13 [size =\"38863872\"]\n  8 -> 14 [size =\"38863872\"]\n  8 -> 17 [size =\"38863872\"]\n  9 [size=\"124725760\", alpha=\"0.08\", expect_size=\"49890304\"] \n  9 -> 10 [size =\"49890304\"]\n  9 -> 11 [size =\"49890304\"]\n  9 -> 14 [size =\"49890304\"]\n  9 -> 16 [size =\"49890304\"]\n  9 -> 17 [size =\"49890304\"]\n  10 [size=\"30056960\", alpha=\"0.07\", expect_size=\"12022784\"] \n  10 -> 24 [size =\"12022784\"]\n  10 -> 25 [size =\"12022784\"]\n  10 -> 28 [size =\"12022784\"]\n  10 -> 29 [size =\"12022784\"]\n  10 -> 31 [size =\"12022784\"]\n  11 [size=\"18731520\", alpha=\"0.10\", expect_size=\"7492608\"] \n  11 -> 22 [size =\"7492608\"]\n  11 -> 23 [size =\"7492608\"]\n  11 -> 25 [size =\"7492608\"]\n  11 -> 27 [size =\"7492608\"]\n  11 -> 29 [size =\"7492608\"]\n  11 -> 32 [size =\"7492608\"]\n  11 -> 33 [size =\"7492608\"]\n  11 -> 35 [size =\"7492608\"]\n  12 [size=\"56366080\", alpha=\"0.20\", expect_size=\"22546432\"] \n  12 -> 18 [size =\"22546432\"]\n  12 -> 20 [size =\"22546432\"]\n  12 -> 24 [size =\"22546432\"]\n  12 -> 25 [size =\"22546432\"]\n  12 -> 26 [size =\"22546432\"]\n  12 -> 27 [size =\"22546432\"]\n  12 -> 30 [size =\"22546432\"]\n  12 -> 35 [size =\"22546432\"]\n  13 [size=\"41320960\", alpha=\"0.04\", expect_size=\"16528384\"] \n  13 -> 18 [size =\"16528384\"]\n  13 -> 19 [size =\"16528384\"]\n  13 -> 23 [size =\"16528384\"]\n  13 -> 26 [size =\"16528384\"]\n  13 -> 27 [size =\"16528384\"]\n  13 -> 30 [size =\"16528384\"]\n  13 -> 32 [size =\"16528384\"]\n  14 [size=\"43466240\", alpha=\"0.03\", expect_size=\"17386496\"] \n  14 -> 18 [size =\"17386496\"]\n  14 -> 20 [size =\"17386496\"]\n  14 -> 28 [size =\"17386496\"]\n  14 -> 30 [size =\"17386496\"]\n  14 -> 34 [size =\"17386496\"]\n  15 [size=\"53073920\", alpha=\"0.01\", expect_size=\"21229568\"] \n  15 -> 18 [size =\"21229568\"]\n  15 -> 21 [size =\"21229568\"]\n  15 -> 25 [size =\"21229568\"]\n  15 -> 31 [size =\"21229568\"]\n  16 [size=\"19893760\", alpha=\"0.19\", expect_size=\"7957504\"] \n  16 -> 19 [size =\"7957504\"]\n  16 -> 21 [size =\"7957504\"]\n  16 -> 22 [size =\"7957504\"]\n  16 -> 24 [size =\"7957504\"]\n  16 -> 25 [size =\"7957504\"]\n  16 -> 26 [size =\"7957504\"]\n  16 -> 28 [size =\"7957504\"]\n  16 -> 29 [size =\"7957504\"]\n  16 -> 34 [size =\"7957504\"]\n  17 [size=\"122552320\", alpha=\"0.09\", expect_size=\"49020928\"] \n  17 -> 20 [size =\"49020928\"]\n  17 -> 22 [size =\"49020928\"]\n  17 -> 23 [size =\"49020928\"]\n  17 -> 24 [size =\"49020928\"]\n  17 -> 26 [size =\"49020928\"]\n  17 -> 26 [size =\"49020928\"]\n  17 -> 29 [size =\"49020928\"]\n  17 -> 32 [size =\"49020928\"]\n  17 -> 33 [size =\"49020928\"]\n  18 [size=\"67750400\", alpha=\"0.06\", expect_size=\"27100160\"] \n  18 -> 37 [size =\"27100160\"]\n  18 -> 38 [size =\"27100160\"]\n  19 [size=\"112148480\", alpha=\"0.08\", expect_size=\"44859392\"] \n  20 [size=\"40174080\", alpha=\"0.13\", expect_size=\"16069632\"] \n  20 -> 38 [size =\"16069632\"]\n  20 -> 39 [size =\"16069632\"]\n  21 [size=\"79680000\", alpha=\"0.16\", expect_size=\"31872000\"] \n  21 -> 36 [size =\"31872000\"]\n  21 -> 39 [size =\"31872000\"]\n  21 -> 40 [size =\"31872000\"]\n  22 [size=\"21061120\", alpha=\"0.04\", expect_size=\"8424448\"] \n  22 -> 37 [size =\"8424448\"]\n  22 -> 38 [size =\"8424448\"]\n  22 -> 39 [size =\"8424448\"]\n  22 -> 40 [size =\"8424448\"]\n  23 [size=\"21053440\", alpha=\"0.16\", expect_size=\"8421376\"] \n  23 -> 38 [size =\"8421376\"]\n  23 -> 38 [size =\"8421376\"]\n  23 -> 39 [size =\"8421376\"]\n  24 [size=\"45532160\", alpha=\"0.19\", expect_size=\"18212864\"] \n  24 -> 37 [size =\"18212864\"]\n  25 [size=\"62115840\", alpha=\"0.18\", expect_size=\"24846336\"] \n  25 -> 36 [size =\"24846336\"]\n  26 [size=\"68408320\", alpha=\"0.01\", expect_size=\"27363328\"] \n  26 -> 37 [size =\"27363328\"]\n  26 -> 39 [size =\"27363328\"]\n  27 [size=\"59686400\", alpha=\"0.06\", expect_size=\"23874560\"] \n  27 -> 39 [size =\"23874560\"]\n  28 [size=\"112145920\", alpha=\"0.06\", expect_size=\"44858368\"] \n  28 -> 40 [size =\"44858368\"]\n  29 [size=\"31856640\", alpha=\"0.04\", expect_size=\"12742656\"] \n  29 -> 37 [size =\"12742656\"]\n  29 -> 38 [size =\"12742656\"]\n  29 -> 39 [size =\"12742656\"]\n  30 [size=\"81085440\", alpha=\"0.06\", expect_size=\"32434176\"] \n  30 -> 39 [size =\"32434176\"]\n  31 [size=\"40691200\", alpha=\"0.08\", expect_size=\"16276480\"] \n  31 -> 37 [size =\"16276480\"]\n  31 -> 38 [size =\"16276480\"]\n  32 [size=\"19545600\", alpha=\"0.18\", expect_size=\"7818240\"] \n  32 -> 39 [size =\"7818240\"]\n  33 [size=\"43307520\", alpha=\"0.12\", expect_size=\"17323008\"] \n  33 -> 36 [size =\"17323008\"]\n  34 [size=\"17141760\", alpha=\"0.12\", expect_size=\"6856704\"] \n  34 -> 37 [size =\"6856704\"]\n  34 -> 38 [size =\"6856704\"]\n  35 [size=\"14182400\", alpha=\"0.18\", expect_size=\"5672960\"] \n  35 -> 37 [size =\"5672960\"]\n  35 -> 38 [size =\"5672960\"]\n  35 -> 39 [size =\"5672960\"]\n  36 [size=\"119961600\", alpha=\"0.06\", expect_size=\"47984640\"] \n  37 [size=\"123289600\", alpha=\"0.12\", expect_size=\"49315840\"] \n  38 [size=\"40540160\", alpha=\"0.08\", expect_size=\"16216064\"] \n  39 [size=\"73735680\", alpha=\"0.20\", expect_size=\"29494272\"] \n  40 [size=\"98562560\", alpha=\"0.17\", expect_size=\"39425024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97679360\", alpha=\"0.03\", expect_size=\"29303808\"] \n  1 -> 29 [size =\"29303808\"]\n  1 -> 31 [size =\"29303808\"]\n  1 -> 34 [size =\"29303808\"]\n  1 -> 35 [size =\"29303808\"]\n  1 -> 36 [size =\"29303808\"]\n  1 -> 36 [size =\"29303808\"]\n  1 -> 39 [size =\"29303808\"]\n  1 -> 40 [size =\"29303808\"]\n  2 [size=\"122395307\", alpha=\"0.11\", expect_size=\"36718592\"] \n  2 -> 29 [size =\"36718592\"]\n  2 -> 34 [size =\"36718592\"]\n  2 -> 40 [size =\"36718592\"]\n  3 [size=\"142308693\", alpha=\"0.17\", expect_size=\"42692608\"] \n  3 -> 29 [size =\"42692608\"]\n  3 -> 34 [size =\"42692608\"]\n  3 -> 35 [size =\"42692608\"]\n  3 -> 40 [size =\"42692608\"]\n  4 [size=\"150319787\", alpha=\"0.14\", expect_size=\"45095936\"] \n  4 -> 29 [size =\"45095936\"]\n  4 -> 34 [size =\"45095936\"]\n  4 -> 36 [size =\"45095936\"]\n  4 -> 37 [size =\"45095936\"]\n  4 -> 39 [size =\"45095936\"]\n  4 -> 40 [size =\"45095936\"]\n  5 [size=\"26760533\", alpha=\"0.05\", expect_size=\"8028160\"] \n  5 -> 28 [size =\"8028160\"]\n  5 -> 34 [size =\"8028160\"]\n  5 -> 35 [size =\"8028160\"]\n  5 -> 36 [size =\"8028160\"]\n  5 -> 37 [size =\"8028160\"]\n  5 -> 39 [size =\"8028160\"]\n  5 -> 40 [size =\"8028160\"]\n  6 [size=\"19862187\", alpha=\"0.18\", expect_size=\"5958656\"] \n  6 -> 30 [size =\"5958656\"]\n  6 -> 31 [size =\"5958656\"]\n  6 -> 32 [size =\"5958656\"]\n  6 -> 36 [size =\"5958656\"]\n  6 -> 37 [size =\"5958656\"]\n  6 -> 38 [size =\"5958656\"]\n  6 -> 39 [size =\"5958656\"]\n  7 [size=\"60975787\", alpha=\"0.05\", expect_size=\"18292736\"] \n  7 -> 26 [size =\"18292736\"]\n  7 -> 27 [size =\"18292736\"]\n  7 -> 32 [size =\"18292736\"]\n  7 -> 33 [size =\"18292736\"]\n  7 -> 39 [size =\"18292736\"]\n  8 [size=\"165522773\", alpha=\"0.18\", expect_size=\"49656832\"] \n  8 -> 26 [size =\"49656832\"]\n  8 -> 28 [size =\"49656832\"]\n  8 -> 29 [size =\"49656832\"]\n  8 -> 32 [size =\"49656832\"]\n  8 -> 35 [size =\"49656832\"]\n  8 -> 37 [size =\"49656832\"]\n  9 [size=\"21930667\", alpha=\"0.02\", expect_size=\"6579200\"] \n  9 -> 27 [size =\"6579200\"]\n  9 -> 28 [size =\"6579200\"]\n  9 -> 29 [size =\"6579200\"]\n  9 -> 32 [size =\"6579200\"]\n  9 -> 36 [size =\"6579200\"]\n  9 -> 37 [size =\"6579200\"]\n  10 [size=\"139267413\", alpha=\"0.08\", expect_size=\"41780224\"] \n  10 -> 26 [size =\"41780224\"]\n  10 -> 27 [size =\"41780224\"]\n  10 -> 28 [size =\"41780224\"]\n  10 -> 37 [size =\"41780224\"]\n  10 -> 40 [size =\"41780224\"]\n  11 [size=\"50589013\", alpha=\"0.16\", expect_size=\"15176704\"] \n  11 -> 28 [size =\"15176704\"]\n  11 -> 33 [size =\"15176704\"]\n  11 -> 34 [size =\"15176704\"]\n  11 -> 35 [size =\"15176704\"]\n  11 -> 37 [size =\"15176704\"]\n  11 -> 40 [size =\"15176704\"]\n  12 [size=\"76339200\", alpha=\"0.14\", expect_size=\"22901760\"] \n  12 -> 26 [size =\"22901760\"]\n  12 -> 28 [size =\"22901760\"]\n  12 -> 29 [size =\"22901760\"]\n  12 -> 32 [size =\"22901760\"]\n  12 -> 34 [size =\"22901760\"]\n  12 -> 35 [size =\"22901760\"]\n  12 -> 36 [size =\"22901760\"]\n  12 -> 37 [size =\"22901760\"]\n  12 -> 39 [size =\"22901760\"]\n  12 -> 40 [size =\"22901760\"]\n  13 [size=\"160740693\", alpha=\"0.07\", expect_size=\"48222208\"] \n  13 -> 27 [size =\"48222208\"]\n  13 -> 28 [size =\"48222208\"]\n  13 -> 29 [size =\"48222208\"]\n  13 -> 32 [size =\"48222208\"]\n  13 -> 36 [size =\"48222208\"]\n  13 -> 40 [size =\"48222208\"]\n  14 [size=\"134567253\", alpha=\"0.14\", expect_size=\"40370176\"] \n  14 -> 26 [size =\"40370176\"]\n  14 -> 28 [size =\"40370176\"]\n  14 -> 32 [size =\"40370176\"]\n  14 -> 35 [size =\"40370176\"]\n  14 -> 37 [size =\"40370176\"]\n  15 [size=\"85060267\", alpha=\"0.02\", expect_size=\"25518080\"] \n  15 -> 26 [size =\"25518080\"]\n  15 -> 27 [size =\"25518080\"]\n  15 -> 29 [size =\"25518080\"]\n  15 -> 32 [size =\"25518080\"]\n  15 -> 36 [size =\"25518080\"]\n  15 -> 40 [size =\"25518080\"]\n  16 [size=\"121064107\", alpha=\"0.09\", expect_size=\"36319232\"] \n  16 -> 29 [size =\"36319232\"]\n  16 -> 34 [size =\"36319232\"]\n  16 -> 35 [size =\"36319232\"]\n  16 -> 36 [size =\"36319232\"]\n  16 -> 40 [size =\"36319232\"]\n  17 [size=\"102823253\", alpha=\"0.19\", expect_size=\"30846976\"] \n  17 -> 26 [size =\"30846976\"]\n  17 -> 30 [size =\"30846976\"]\n  17 -> 31 [size =\"30846976\"]\n  17 -> 34 [size =\"30846976\"]\n  17 -> 39 [size =\"30846976\"]\n  18 [size=\"141967360\", alpha=\"0.15\", expect_size=\"42590208\"] \n  18 -> 26 [size =\"42590208\"]\n  18 -> 29 [size =\"42590208\"]\n  18 -> 30 [size =\"42590208\"]\n  18 -> 34 [size =\"42590208\"]\n  18 -> 37 [size =\"42590208\"]\n  18 -> 39 [size =\"42590208\"]\n  19 [size=\"123480747\", alpha=\"0.10\", expect_size=\"37044224\"] \n  19 -> 30 [size =\"37044224\"]\n  19 -> 32 [size =\"37044224\"]\n  19 -> 35 [size =\"37044224\"]\n  19 -> 40 [size =\"37044224\"]\n  20 [size=\"141250560\", alpha=\"0.09\", expect_size=\"42375168\"] \n  20 -> 26 [size =\"42375168\"]\n  20 -> 27 [size =\"42375168\"]\n  20 -> 29 [size =\"42375168\"]\n  20 -> 30 [size =\"42375168\"]\n  20 -> 32 [size =\"42375168\"]\n  20 -> 35 [size =\"42375168\"]\n  21 [size=\"46209707\", alpha=\"0.19\", expect_size=\"13862912\"] \n  21 -> 30 [size =\"13862912\"]\n  21 -> 32 [size =\"13862912\"]\n  21 -> 36 [size =\"13862912\"]\n  21 -> 37 [size =\"13862912\"]\n  21 -> 40 [size =\"13862912\"]\n  22 [size=\"18169173\", alpha=\"0.02\", expect_size=\"5450752\"] \n  22 -> 27 [size =\"5450752\"]\n  22 -> 29 [size =\"5450752\"]\n  22 -> 30 [size =\"5450752\"]\n  22 -> 32 [size =\"5450752\"]\n  22 -> 35 [size =\"5450752\"]\n  22 -> 36 [size =\"5450752\"]\n  23 [size=\"127638187\", alpha=\"0.01\", expect_size=\"38291456\"] \n  23 -> 29 [size =\"38291456\"]\n  23 -> 32 [size =\"38291456\"]\n  23 -> 36 [size =\"38291456\"]\n  23 -> 39 [size =\"38291456\"]\n  24 [size=\"28678827\", alpha=\"0.16\", expect_size=\"8603648\"] \n  24 -> 32 [size =\"8603648\"]\n  24 -> 33 [size =\"8603648\"]\n  24 -> 34 [size =\"8603648\"]\n  24 -> 36 [size =\"8603648\"]\n  24 -> 37 [size =\"8603648\"]\n  24 -> 40 [size =\"8603648\"]\n  25 [size=\"136755200\", alpha=\"0.13\", expect_size=\"41026560\"] \n  25 -> 29 [size =\"41026560\"]\n  25 -> 31 [size =\"41026560\"]\n  25 -> 32 [size =\"41026560\"]\n  25 -> 33 [size =\"41026560\"]\n  25 -> 34 [size =\"41026560\"]\n  25 -> 36 [size =\"41026560\"]\n  25 -> 38 [size =\"41026560\"]\n  25 -> 39 [size =\"41026560\"]\n  26 [size=\"152671573\", alpha=\"0.10\", expect_size=\"45801472\"] \n  27 [size=\"65276587\", alpha=\"0.13\", expect_size=\"19582976\"] \n  28 [size=\"56958293\", alpha=\"0.14\", expect_size=\"17087488\"] \n  29 [size=\"174684160\", alpha=\"0.17\", expect_size=\"52405248\"] \n  30 [size=\"94993067\", alpha=\"0.14\", expect_size=\"28497920\"] \n  31 [size=\"167720960\", alpha=\"0.16\", expect_size=\"50316288\"] \n  32 [size=\"158494720\", alpha=\"0.05\", expect_size=\"47548416\"] \n  33 [size=\"172240213\", alpha=\"0.13\", expect_size=\"51672064\"] \n  34 [size=\"19213653\", alpha=\"0.15\", expect_size=\"5764096\"] \n  35 [size=\"146841600\", alpha=\"0.06\", expect_size=\"44052480\"] \n  36 [size=\"92542293\", alpha=\"0.10\", expect_size=\"27762688\"] \n  37 [size=\"173277867\", alpha=\"0.05\", expect_size=\"51983360\"] \n  38 [size=\"117981867\", alpha=\"0.16\", expect_size=\"35394560\"] \n  39 [size=\"74700800\", alpha=\"0.00\", expect_size=\"22410240\"] \n  40 [size=\"47889067\", alpha=\"0.00\", expect_size=\"14366720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66549760\", alpha=\"0.12\", expect_size=\"33274880\"] \n  1 -> 4 [size =\"33274880\"]\n  1 -> 5 [size =\"33274880\"]\n  1 -> 6 [size =\"33274880\"]\n  2 [size=\"14284800\", alpha=\"0.10\", expect_size=\"7142400\"] \n  2 -> 4 [size =\"7142400\"]\n  3 [size=\"15460352\", alpha=\"0.00\", expect_size=\"7730176\"] \n  3 -> 4 [size =\"7730176\"]\n  3 -> 6 [size =\"7730176\"]\n  4 [size=\"74752000\", alpha=\"0.16\", expect_size=\"37376000\"] \n  4 -> 8 [size =\"37376000\"]\n  5 [size=\"71165952\", alpha=\"0.13\", expect_size=\"35582976\"] \n  5 -> 7 [size =\"35582976\"]\n  5 -> 8 [size =\"35582976\"]\n  6 [size=\"63275008\", alpha=\"0.14\", expect_size=\"31637504\"] \n  6 -> 7 [size =\"31637504\"]\n  7 [size=\"67686400\", alpha=\"0.06\", expect_size=\"33843200\"] \n  7 -> 9 [size =\"33843200\"]\n  7 -> 10 [size =\"33843200\"]\n  8 [size=\"71843840\", alpha=\"0.08\", expect_size=\"35921920\"] \n  8 -> 9 [size =\"35921920\"]\n  8 -> 10 [size =\"35921920\"]\n  9 [size=\"28938240\", alpha=\"0.19\", expect_size=\"14469120\"] \n  9 -> 12 [size =\"14469120\"]\n  9 -> 13 [size =\"14469120\"]\n  10 [size=\"12421120\", alpha=\"0.07\", expect_size=\"6210560\"] \n  10 -> 11 [size =\"6210560\"]\n  10 -> 12 [size =\"6210560\"]\n  11 [size=\"60143616\", alpha=\"0.06\", expect_size=\"30071808\"] \n  11 -> 14 [size =\"30071808\"]\n  11 -> 15 [size =\"30071808\"]\n  12 [size=\"23447552\", alpha=\"0.17\", expect_size=\"11723776\"] \n  12 -> 14 [size =\"11723776\"]\n  12 -> 15 [size =\"11723776\"]\n  13 [size=\"69296128\", alpha=\"0.12\", expect_size=\"34648064\"] \n  13 -> 16 [size =\"34648064\"]\n  14 [size=\"69595136\", alpha=\"0.08\", expect_size=\"34797568\"] \n  14 -> 17 [size =\"34797568\"]\n  14 -> 18 [size =\"34797568\"]\n  15 [size=\"48596992\", alpha=\"0.03\", expect_size=\"24298496\"] \n  15 -> 17 [size =\"24298496\"]\n  15 -> 18 [size =\"24298496\"]\n  16 [size=\"14055424\", alpha=\"0.17\", expect_size=\"7027712\"] \n  16 -> 17 [size =\"7027712\"]\n  17 [size=\"78845952\", alpha=\"0.07\", expect_size=\"39422976\"] \n  17 -> 19 [size =\"39422976\"]\n  17 -> 20 [size =\"39422976\"]\n  18 [size=\"12695552\", alpha=\"0.03\", expect_size=\"6347776\"] \n  18 -> 19 [size =\"6347776\"]\n  18 -> 20 [size =\"6347776\"]\n  19 [size=\"51396608\", alpha=\"0.14\", expect_size=\"25698304\"] \n  19 -> 21 [size =\"25698304\"]\n  20 [size=\"46243840\", alpha=\"0.19\", expect_size=\"23121920\"] \n  20 -> 21 [size =\"23121920\"]\n  20 -> 22 [size =\"23121920\"]\n  21 [size=\"80816128\", alpha=\"0.16\", expect_size=\"40408064\"] \n  21 -> 23 [size =\"40408064\"]\n  21 -> 24 [size =\"40408064\"]\n  21 -> 25 [size =\"40408064\"]\n  22 [size=\"16013312\", alpha=\"0.14\", expect_size=\"8006656\"] \n  22 -> 23 [size =\"8006656\"]\n  22 -> 24 [size =\"8006656\"]\n  22 -> 25 [size =\"8006656\"]\n  23 [size=\"95055872\", alpha=\"0.13\", expect_size=\"47527936\"] \n  23 -> 27 [size =\"47527936\"]\n  24 [size=\"57933824\", alpha=\"0.06\", expect_size=\"28966912\"] \n  25 [size=\"96692224\", alpha=\"0.11\", expect_size=\"48346112\"] \n  25 -> 26 [size =\"48346112\"]\n  25 -> 28 [size =\"48346112\"]\n  26 [size=\"16297984\", alpha=\"0.08\", expect_size=\"8148992\"] \n  26 -> 31 [size =\"8148992\"]\n  27 [size=\"97114112\", alpha=\"0.17\", expect_size=\"48557056\"] \n  27 -> 29 [size =\"48557056\"]\n  28 [size=\"36562944\", alpha=\"0.18\", expect_size=\"18281472\"] \n  28 -> 30 [size =\"18281472\"]\n  29 [size=\"52731904\", alpha=\"0.04\", expect_size=\"26365952\"] \n  29 -> 32 [size =\"26365952\"]\n  30 [size=\"24733696\", alpha=\"0.10\", expect_size=\"12366848\"] \n  30 -> 34 [size =\"12366848\"]\n  31 [size=\"21301248\", alpha=\"0.07\", expect_size=\"10650624\"] \n  31 -> 33 [size =\"10650624\"]\n  32 [size=\"98500608\", alpha=\"0.06\", expect_size=\"49250304\"] \n  32 -> 35 [size =\"49250304\"]\n  32 -> 36 [size =\"49250304\"]\n  32 -> 37 [size =\"49250304\"]\n  33 [size=\"71385088\", alpha=\"0.18\", expect_size=\"35692544\"] \n  33 -> 36 [size =\"35692544\"]\n  34 [size=\"39305216\", alpha=\"0.02\", expect_size=\"19652608\"] \n  34 -> 37 [size =\"19652608\"]\n  35 [size=\"66523136\", alpha=\"0.14\", expect_size=\"33261568\"] \n  35 -> 38 [size =\"33261568\"]\n  36 [size=\"24981504\", alpha=\"0.08\", expect_size=\"12490752\"] \n  37 [size=\"61837312\", alpha=\"0.15\", expect_size=\"30918656\"] \n  37 -> 39 [size =\"30918656\"]\n  38 [size=\"45551616\", alpha=\"0.03\", expect_size=\"22775808\"] \n  38 -> 40 [size =\"22775808\"]\n  39 [size=\"37484544\", alpha=\"0.00\", expect_size=\"18742272\"] \n  40 [size=\"56084480\", alpha=\"0.05\", expect_size=\"28042240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39367680\", alpha=\"0.15\", expect_size=\"15747072\"] \n  1 -> 7 [size =\"15747072\"]\n  1 -> 8 [size =\"15747072\"]\n  1 -> 9 [size =\"15747072\"]\n  1 -> 12 [size =\"15747072\"]\n  2 [size=\"114539520\", alpha=\"0.17\", expect_size=\"45815808\"] \n  2 -> 8 [size =\"45815808\"]\n  2 -> 10 [size =\"45815808\"]\n  3 [size=\"119892480\", alpha=\"0.09\", expect_size=\"47956992\"] \n  3 -> 13 [size =\"47956992\"]\n  4 [size=\"69365760\", alpha=\"0.17\", expect_size=\"27746304\"] \n  4 -> 7 [size =\"27746304\"]\n  4 -> 8 [size =\"27746304\"]\n  4 -> 13 [size =\"27746304\"]\n  5 [size=\"33264640\", alpha=\"0.09\", expect_size=\"13305856\"] \n  5 -> 13 [size =\"13305856\"]\n  6 [size=\"73720320\", alpha=\"0.13\", expect_size=\"29488128\"] \n  6 -> 11 [size =\"29488128\"]\n  6 -> 12 [size =\"29488128\"]\n  7 [size=\"98854400\", alpha=\"0.17\", expect_size=\"39541760\"] \n  7 -> 14 [size =\"39541760\"]\n  7 -> 15 [size =\"39541760\"]\n  7 -> 16 [size =\"39541760\"]\n  8 [size=\"56688640\", alpha=\"0.09\", expect_size=\"22675456\"] \n  8 -> 15 [size =\"22675456\"]\n  8 -> 16 [size =\"22675456\"]\n  9 [size=\"32883200\", alpha=\"0.13\", expect_size=\"13153280\"] \n  9 -> 14 [size =\"13153280\"]\n  9 -> 16 [size =\"13153280\"]\n  9 -> 17 [size =\"13153280\"]\n  10 [size=\"52162560\", alpha=\"0.09\", expect_size=\"20865024\"] \n  10 -> 14 [size =\"20865024\"]\n  11 [size=\"40709120\", alpha=\"0.03\", expect_size=\"16283648\"] \n  12 [size=\"128043520\", alpha=\"0.15\", expect_size=\"51217408\"] \n  12 -> 14 [size =\"51217408\"]\n  13 [size=\"108551680\", alpha=\"0.04\", expect_size=\"43420672\"] \n  13 -> 15 [size =\"43420672\"]\n  14 [size=\"44948480\", alpha=\"0.14\", expect_size=\"17979392\"] \n  14 -> 21 [size =\"17979392\"]\n  15 [size=\"29399040\", alpha=\"0.16\", expect_size=\"11759616\"] \n  15 -> 20 [size =\"11759616\"]\n  16 [size=\"84065280\", alpha=\"0.05\", expect_size=\"33626112\"] \n  16 -> 19 [size =\"33626112\"]\n  16 -> 20 [size =\"33626112\"]\n  17 [size=\"42257920\", alpha=\"0.19\", expect_size=\"16903168\"] \n  17 -> 18 [size =\"16903168\"]\n  18 [size=\"22804480\", alpha=\"0.16\", expect_size=\"9121792\"] \n  18 -> 22 [size =\"9121792\"]\n  19 [size=\"78169600\", alpha=\"0.17\", expect_size=\"31267840\"] \n  19 -> 23 [size =\"31267840\"]\n  20 [size=\"37772800\", alpha=\"0.08\", expect_size=\"15109120\"] \n  20 -> 22 [size =\"15109120\"]\n  20 -> 24 [size =\"15109120\"]\n  21 [size=\"87907840\", alpha=\"0.04\", expect_size=\"35163136\"] \n  21 -> 25 [size =\"35163136\"]\n  22 [size=\"104565760\", alpha=\"0.18\", expect_size=\"41826304\"] \n  22 -> 26 [size =\"41826304\"]\n  22 -> 27 [size =\"41826304\"]\n  22 -> 28 [size =\"41826304\"]\n  22 -> 31 [size =\"41826304\"]\n  23 [size=\"77488640\", alpha=\"0.09\", expect_size=\"30995456\"] \n  23 -> 29 [size =\"30995456\"]\n  24 [size=\"100756480\", alpha=\"0.10\", expect_size=\"40302592\"] \n  24 -> 29 [size =\"40302592\"]\n  25 [size=\"65003520\", alpha=\"0.14\", expect_size=\"26001408\"] \n  25 -> 26 [size =\"26001408\"]\n  25 -> 27 [size =\"26001408\"]\n  25 -> 30 [size =\"26001408\"]\n  26 [size=\"40652800\", alpha=\"0.09\", expect_size=\"16261120\"] \n  26 -> 36 [size =\"16261120\"]\n  27 [size=\"71150080\", alpha=\"0.18\", expect_size=\"28460032\"] \n  27 -> 32 [size =\"28460032\"]\n  27 -> 35 [size =\"28460032\"]\n  28 [size=\"62891520\", alpha=\"0.15\", expect_size=\"25156608\"] \n  28 -> 33 [size =\"25156608\"]\n  28 -> 34 [size =\"25156608\"]\n  28 -> 35 [size =\"25156608\"]\n  29 [size=\"39211520\", alpha=\"0.15\", expect_size=\"15684608\"] \n  29 -> 34 [size =\"15684608\"]\n  30 [size=\"18769920\", alpha=\"0.01\", expect_size=\"7507968\"] \n  30 -> 33 [size =\"7507968\"]\n  30 -> 34 [size =\"7507968\"]\n  31 [size=\"66992640\", alpha=\"0.12\", expect_size=\"26797056\"] \n  31 -> 33 [size =\"26797056\"]\n  31 -> 37 [size =\"26797056\"]\n  32 [size=\"92175360\", alpha=\"0.03\", expect_size=\"36870144\"] \n  32 -> 40 [size =\"36870144\"]\n  33 [size=\"77785600\", alpha=\"0.10\", expect_size=\"31114240\"] \n  33 -> 39 [size =\"31114240\"]\n  34 [size=\"130608640\", alpha=\"0.02\", expect_size=\"52243456\"] \n  34 -> 38 [size =\"52243456\"]\n  35 [size=\"70976000\", alpha=\"0.17\", expect_size=\"28390400\"] \n  35 -> 38 [size =\"28390400\"]\n  36 [size=\"37012480\", alpha=\"0.04\", expect_size=\"14804992\"] \n  36 -> 38 [size =\"14804992\"]\n  37 [size=\"89333760\", alpha=\"0.16\", expect_size=\"35733504\"] \n  38 [size=\"77754880\", alpha=\"0.10\", expect_size=\"31101952\"] \n  39 [size=\"45862400\", alpha=\"0.15\", expect_size=\"18344960\"] \n  40 [size=\"13432320\", alpha=\"0.03\", expect_size=\"5372928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13160448\", alpha=\"0.10\", expect_size=\"6580224\"] \n  1 -> 23 [size =\"6580224\"]\n  2 [size=\"103847936\", alpha=\"0.08\", expect_size=\"51923968\"] \n  2 -> 23 [size =\"51923968\"]\n  2 -> 26 [size =\"51923968\"]\n  3 [size=\"34547712\", alpha=\"0.09\", expect_size=\"17273856\"] \n  3 -> 16 [size =\"17273856\"]\n  3 -> 18 [size =\"17273856\"]\n  3 -> 19 [size =\"17273856\"]\n  4 [size=\"98562048\", alpha=\"0.17\", expect_size=\"49281024\"] \n  4 -> 16 [size =\"49281024\"]\n  4 -> 18 [size =\"49281024\"]\n  4 -> 19 [size =\"49281024\"]\n  4 -> 23 [size =\"49281024\"]\n  4 -> 24 [size =\"49281024\"]\n  5 [size=\"87697408\", alpha=\"0.18\", expect_size=\"43848704\"] \n  5 -> 16 [size =\"43848704\"]\n  5 -> 18 [size =\"43848704\"]\n  5 -> 22 [size =\"43848704\"]\n  5 -> 24 [size =\"43848704\"]\n  5 -> 25 [size =\"43848704\"]\n  6 [size=\"27940864\", alpha=\"0.14\", expect_size=\"13970432\"] \n  6 -> 16 [size =\"13970432\"]\n  6 -> 18 [size =\"13970432\"]\n  6 -> 20 [size =\"13970432\"]\n  6 -> 22 [size =\"13970432\"]\n  6 -> 25 [size =\"13970432\"]\n  7 [size=\"44548096\", alpha=\"0.18\", expect_size=\"22274048\"] \n  7 -> 15 [size =\"22274048\"]\n  7 -> 18 [size =\"22274048\"]\n  7 -> 22 [size =\"22274048\"]\n  7 -> 26 [size =\"22274048\"]\n  8 [size=\"19419136\", alpha=\"0.11\", expect_size=\"9709568\"] \n  8 -> 18 [size =\"9709568\"]\n  8 -> 18 [size =\"9709568\"]\n  8 -> 20 [size =\"9709568\"]\n  8 -> 22 [size =\"9709568\"]\n  8 -> 24 [size =\"9709568\"]\n  8 -> 25 [size =\"9709568\"]\n  8 -> 26 [size =\"9709568\"]\n  9 [size=\"11317248\", alpha=\"0.12\", expect_size=\"5658624\"] \n  9 -> 16 [size =\"5658624\"]\n  9 -> 19 [size =\"5658624\"]\n  9 -> 21 [size =\"5658624\"]\n  9 -> 26 [size =\"5658624\"]\n  10 [size=\"91420672\", alpha=\"0.07\", expect_size=\"45710336\"] \n  10 -> 16 [size =\"45710336\"]\n  10 -> 17 [size =\"45710336\"]\n  11 [size=\"74975232\", alpha=\"0.17\", expect_size=\"37487616\"] \n  11 -> 14 [size =\"37487616\"]\n  11 -> 16 [size =\"37487616\"]\n  11 -> 18 [size =\"37487616\"]\n  11 -> 26 [size =\"37487616\"]\n  12 [size=\"26488832\", alpha=\"0.03\", expect_size=\"13244416\"] \n  12 -> 22 [size =\"13244416\"]\n  13 [size=\"62498816\", alpha=\"0.07\", expect_size=\"31249408\"] \n  13 -> 16 [size =\"31249408\"]\n  13 -> 17 [size =\"31249408\"]\n  13 -> 19 [size =\"31249408\"]\n  13 -> 22 [size =\"31249408\"]\n  13 -> 23 [size =\"31249408\"]\n  14 [size=\"102801408\", alpha=\"0.05\", expect_size=\"51400704\"] \n  14 -> 28 [size =\"51400704\"]\n  14 -> 31 [size =\"51400704\"]\n  14 -> 34 [size =\"51400704\"]\n  14 -> 37 [size =\"51400704\"]\n  15 [size=\"87717888\", alpha=\"0.15\", expect_size=\"43858944\"] \n  15 -> 27 [size =\"43858944\"]\n  15 -> 28 [size =\"43858944\"]\n  15 -> 29 [size =\"43858944\"]\n  15 -> 31 [size =\"43858944\"]\n  15 -> 32 [size =\"43858944\"]\n  15 -> 34 [size =\"43858944\"]\n  15 -> 35 [size =\"43858944\"]\n  15 -> 39 [size =\"43858944\"]\n  16 [size=\"76302336\", alpha=\"0.01\", expect_size=\"38151168\"] \n  16 -> 27 [size =\"38151168\"]\n  16 -> 29 [size =\"38151168\"]\n  16 -> 31 [size =\"38151168\"]\n  16 -> 33 [size =\"38151168\"]\n  16 -> 37 [size =\"38151168\"]\n  16 -> 39 [size =\"38151168\"]\n  17 [size=\"47667200\", alpha=\"0.16\", expect_size=\"23833600\"] \n  17 -> 27 [size =\"23833600\"]\n  17 -> 29 [size =\"23833600\"]\n  17 -> 33 [size =\"23833600\"]\n  17 -> 34 [size =\"23833600\"]\n  17 -> 35 [size =\"23833600\"]\n  17 -> 37 [size =\"23833600\"]\n  18 [size=\"39534592\", alpha=\"0.18\", expect_size=\"19767296\"] \n  18 -> 29 [size =\"19767296\"]\n  18 -> 30 [size =\"19767296\"]\n  18 -> 34 [size =\"19767296\"]\n  18 -> 38 [size =\"19767296\"]\n  19 [size=\"91426816\", alpha=\"0.08\", expect_size=\"45713408\"] \n  19 -> 27 [size =\"45713408\"]\n  19 -> 30 [size =\"45713408\"]\n  19 -> 31 [size =\"45713408\"]\n  19 -> 33 [size =\"45713408\"]\n  19 -> 39 [size =\"45713408\"]\n  20 [size=\"52365312\", alpha=\"0.10\", expect_size=\"26182656\"] \n  20 -> 28 [size =\"26182656\"]\n  20 -> 31 [size =\"26182656\"]\n  20 -> 34 [size =\"26182656\"]\n  21 [size=\"85041152\", alpha=\"0.13\", expect_size=\"42520576\"] \n  21 -> 28 [size =\"42520576\"]\n  21 -> 29 [size =\"42520576\"]\n  21 -> 31 [size =\"42520576\"]\n  21 -> 36 [size =\"42520576\"]\n  21 -> 39 [size =\"42520576\"]\n  22 [size=\"69806080\", alpha=\"0.15\", expect_size=\"34903040\"] \n  22 -> 27 [size =\"34903040\"]\n  22 -> 28 [size =\"34903040\"]\n  22 -> 29 [size =\"34903040\"]\n  22 -> 33 [size =\"34903040\"]\n  22 -> 37 [size =\"34903040\"]\n  22 -> 39 [size =\"34903040\"]\n  23 [size=\"85610496\", alpha=\"0.03\", expect_size=\"42805248\"] \n  23 -> 27 [size =\"42805248\"]\n  23 -> 28 [size =\"42805248\"]\n  23 -> 29 [size =\"42805248\"]\n  23 -> 35 [size =\"42805248\"]\n  23 -> 37 [size =\"42805248\"]\n  23 -> 39 [size =\"42805248\"]\n  24 [size=\"23848960\", alpha=\"0.09\", expect_size=\"11924480\"] \n  24 -> 27 [size =\"11924480\"]\n  24 -> 31 [size =\"11924480\"]\n  25 [size=\"45307904\", alpha=\"0.11\", expect_size=\"22653952\"] \n  25 -> 27 [size =\"22653952\"]\n  25 -> 32 [size =\"22653952\"]\n  25 -> 34 [size =\"22653952\"]\n  25 -> 36 [size =\"22653952\"]\n  25 -> 37 [size =\"22653952\"]\n  25 -> 38 [size =\"22653952\"]\n  25 -> 39 [size =\"22653952\"]\n  26 [size=\"19357696\", alpha=\"0.18\", expect_size=\"9678848\"] \n  26 -> 28 [size =\"9678848\"]\n  26 -> 31 [size =\"9678848\"]\n  26 -> 34 [size =\"9678848\"]\n  26 -> 36 [size =\"9678848\"]\n  26 -> 37 [size =\"9678848\"]\n  26 -> 39 [size =\"9678848\"]\n  27 [size=\"22321152\", alpha=\"0.11\", expect_size=\"11160576\"] \n  28 [size=\"95606784\", alpha=\"0.06\", expect_size=\"47803392\"] \n  29 [size=\"87126016\", alpha=\"0.02\", expect_size=\"43563008\"] \n  30 [size=\"29759488\", alpha=\"0.15\", expect_size=\"14879744\"] \n  31 [size=\"76548096\", alpha=\"0.01\", expect_size=\"38274048\"] \n  31 -> 40 [size =\"38274048\"]\n  32 [size=\"41422848\", alpha=\"0.11\", expect_size=\"20711424\"] \n  32 -> 40 [size =\"20711424\"]\n  33 [size=\"17747968\", alpha=\"0.11\", expect_size=\"8873984\"] \n  34 [size=\"29585408\", alpha=\"0.12\", expect_size=\"14792704\"] \n  35 [size=\"70641664\", alpha=\"0.09\", expect_size=\"35320832\"] \n  36 [size=\"29384704\", alpha=\"0.19\", expect_size=\"14692352\"] \n  37 [size=\"17643520\", alpha=\"0.18\", expect_size=\"8821760\"] \n  38 [size=\"69480448\", alpha=\"0.02\", expect_size=\"34740224\"] \n  39 [size=\"99461120\", alpha=\"0.04\", expect_size=\"49730560\"] \n  39 -> 40 [size =\"49730560\"]\n  40 [size=\"14043136\", alpha=\"0.15\", expect_size=\"7021568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100805973\", alpha=\"0.02\", expect_size=\"30241792\"] \n  1 -> 2 [size =\"30241792\"]\n  2 [size=\"138506240\", alpha=\"0.10\", expect_size=\"41551872\"] \n  2 -> 3 [size =\"41551872\"]\n  3 [size=\"23947947\", alpha=\"0.01\", expect_size=\"7184384\"] \n  3 -> 4 [size =\"7184384\"]\n  4 [size=\"146705067\", alpha=\"0.10\", expect_size=\"44011520\"] \n  4 -> 5 [size =\"44011520\"]\n  5 [size=\"118910293\", alpha=\"0.00\", expect_size=\"35673088\"] \n  5 -> 6 [size =\"35673088\"]\n  6 [size=\"102420480\", alpha=\"0.02\", expect_size=\"30726144\"] \n  6 -> 7 [size =\"30726144\"]\n  7 [size=\"18684587\", alpha=\"0.05\", expect_size=\"5605376\"] \n  7 -> 8 [size =\"5605376\"]\n  8 [size=\"152418987\", alpha=\"0.06\", expect_size=\"45725696\"] \n  8 -> 9 [size =\"45725696\"]\n  9 [size=\"30064640\", alpha=\"0.16\", expect_size=\"9019392\"] \n  9 -> 10 [size =\"9019392\"]\n  10 [size=\"55780693\", alpha=\"0.18\", expect_size=\"16734208\"] \n  10 -> 11 [size =\"16734208\"]\n  11 [size=\"73417387\", alpha=\"0.05\", expect_size=\"22025216\"] \n  11 -> 12 [size =\"22025216\"]\n  12 [size=\"92968960\", alpha=\"0.13\", expect_size=\"27890688\"] \n  12 -> 13 [size =\"27890688\"]\n  13 [size=\"171827200\", alpha=\"0.04\", expect_size=\"51548160\"] \n  13 -> 14 [size =\"51548160\"]\n  14 [size=\"21084160\", alpha=\"0.17\", expect_size=\"6325248\"] \n  14 -> 15 [size =\"6325248\"]\n  15 [size=\"101147307\", alpha=\"0.04\", expect_size=\"30344192\"] \n  15 -> 16 [size =\"30344192\"]\n  16 [size=\"103584427\", alpha=\"0.14\", expect_size=\"31075328\"] \n  16 -> 17 [size =\"31075328\"]\n  17 [size=\"117862400\", alpha=\"0.17\", expect_size=\"35358720\"] \n  17 -> 18 [size =\"35358720\"]\n  18 [size=\"153436160\", alpha=\"0.16\", expect_size=\"46030848\"] \n  18 -> 19 [size =\"46030848\"]\n  19 [size=\"45482667\", alpha=\"0.01\", expect_size=\"13644800\"] \n  19 -> 20 [size =\"13644800\"]\n  20 [size=\"171690667\", alpha=\"0.15\", expect_size=\"51507200\"] \n  20 -> 21 [size =\"51507200\"]\n  21 [size=\"152234667\", alpha=\"0.19\", expect_size=\"45670400\"] \n  21 -> 22 [size =\"45670400\"]\n  22 [size=\"31272960\", alpha=\"0.19\", expect_size=\"9381888\"] \n  22 -> 23 [size =\"9381888\"]\n  23 [size=\"130450773\", alpha=\"0.19\", expect_size=\"39135232\"] \n  23 -> 24 [size =\"39135232\"]\n  24 [size=\"165249707\", alpha=\"0.16\", expect_size=\"49574912\"] \n  24 -> 25 [size =\"49574912\"]\n  25 [size=\"138861227\", alpha=\"0.06\", expect_size=\"41658368\"] \n  25 -> 26 [size =\"41658368\"]\n  26 [size=\"174069760\", alpha=\"0.07\", expect_size=\"52220928\"] \n  26 -> 27 [size =\"52220928\"]\n  27 [size=\"124648107\", alpha=\"0.08\", expect_size=\"37394432\"] \n  27 -> 28 [size =\"37394432\"]\n  28 [size=\"102970027\", alpha=\"0.06\", expect_size=\"30891008\"] \n  28 -> 29 [size =\"30891008\"]\n  29 [size=\"75141120\", alpha=\"0.05\", expect_size=\"22542336\"] \n  29 -> 30 [size =\"22542336\"]\n  30 [size=\"81394347\", alpha=\"0.10\", expect_size=\"24418304\"] \n  30 -> 31 [size =\"24418304\"]\n  31 [size=\"38485333\", alpha=\"0.01\", expect_size=\"11545600\"] \n  31 -> 32 [size =\"11545600\"]\n  32 [size=\"29747200\", alpha=\"0.02\", expect_size=\"8924160\"] \n  32 -> 33 [size =\"8924160\"]\n  33 [size=\"18923520\", alpha=\"0.03\", expect_size=\"5677056\"] \n  33 -> 34 [size =\"5677056\"]\n  34 [size=\"169779200\", alpha=\"0.05\", expect_size=\"50933760\"] \n  34 -> 35 [size =\"50933760\"]\n  35 [size=\"139677013\", alpha=\"0.16\", expect_size=\"41903104\"] \n  35 -> 36 [size =\"41903104\"]\n  36 [size=\"30061227\", alpha=\"0.19\", expect_size=\"9018368\"] \n  36 -> 37 [size =\"9018368\"]\n  37 [size=\"83159040\", alpha=\"0.15\", expect_size=\"24947712\"] \n  37 -> 38 [size =\"24947712\"]\n  38 [size=\"142892373\", alpha=\"0.08\", expect_size=\"42867712\"] \n  38 -> 39 [size =\"42867712\"]\n  39 [size=\"29634560\", alpha=\"0.04\", expect_size=\"8890368\"] \n  39 -> 40 [size =\"8890368\"]\n  40 [size=\"70550187\", alpha=\"0.00\", expect_size=\"21165056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113029120\", alpha=\"0.18\", expect_size=\"33908736\"] \n  1 -> 18 [size =\"33908736\"]\n  1 -> 23 [size =\"33908736\"]\n  1 -> 27 [size =\"33908736\"]\n  1 -> 28 [size =\"33908736\"]\n  1 -> 29 [size =\"33908736\"]\n  2 [size=\"164061867\", alpha=\"0.01\", expect_size=\"49218560\"] \n  2 -> 16 [size =\"49218560\"]\n  2 -> 21 [size =\"49218560\"]\n  2 -> 24 [size =\"49218560\"]\n  2 -> 27 [size =\"49218560\"]\n  3 [size=\"52432213\", alpha=\"0.17\", expect_size=\"15729664\"] \n  3 -> 20 [size =\"15729664\"]\n  3 -> 21 [size =\"15729664\"]\n  3 -> 24 [size =\"15729664\"]\n  3 -> 26 [size =\"15729664\"]\n  3 -> 27 [size =\"15729664\"]\n  3 -> 30 [size =\"15729664\"]\n  4 [size=\"22930773\", alpha=\"0.07\", expect_size=\"6879232\"] \n  4 -> 20 [size =\"6879232\"]\n  4 -> 27 [size =\"6879232\"]\n  5 [size=\"124682240\", alpha=\"0.01\", expect_size=\"37404672\"] \n  5 -> 17 [size =\"37404672\"]\n  5 -> 19 [size =\"37404672\"]\n  5 -> 26 [size =\"37404672\"]\n  6 [size=\"41936213\", alpha=\"0.12\", expect_size=\"12580864\"] \n  6 -> 20 [size =\"12580864\"]\n  6 -> 22 [size =\"12580864\"]\n  6 -> 23 [size =\"12580864\"]\n  6 -> 24 [size =\"12580864\"]\n  6 -> 25 [size =\"12580864\"]\n  6 -> 30 [size =\"12580864\"]\n  7 [size=\"83203413\", alpha=\"0.05\", expect_size=\"24961024\"] \n  7 -> 17 [size =\"24961024\"]\n  7 -> 19 [size =\"24961024\"]\n  7 -> 23 [size =\"24961024\"]\n  7 -> 24 [size =\"24961024\"]\n  7 -> 25 [size =\"24961024\"]\n  8 [size=\"70553600\", alpha=\"0.10\", expect_size=\"21166080\"] \n  8 -> 19 [size =\"21166080\"]\n  8 -> 23 [size =\"21166080\"]\n  8 -> 25 [size =\"21166080\"]\n  8 -> 30 [size =\"21166080\"]\n  9 [size=\"70652587\", alpha=\"0.05\", expect_size=\"21195776\"] \n  9 -> 17 [size =\"21195776\"]\n  9 -> 21 [size =\"21195776\"]\n  9 -> 23 [size =\"21195776\"]\n  10 [size=\"105147733\", alpha=\"0.00\", expect_size=\"31544320\"] \n  10 -> 17 [size =\"31544320\"]\n  10 -> 22 [size =\"31544320\"]\n  10 -> 29 [size =\"31544320\"]\n  11 [size=\"22074027\", alpha=\"0.06\", expect_size=\"6622208\"] \n  11 -> 16 [size =\"6622208\"]\n  11 -> 17 [size =\"6622208\"]\n  11 -> 20 [size =\"6622208\"]\n  11 -> 30 [size =\"6622208\"]\n  12 [size=\"159982933\", alpha=\"0.09\", expect_size=\"47994880\"] \n  12 -> 18 [size =\"47994880\"]\n  12 -> 20 [size =\"47994880\"]\n  12 -> 21 [size =\"47994880\"]\n  12 -> 22 [size =\"47994880\"]\n  12 -> 30 [size =\"47994880\"]\n  13 [size=\"168205653\", alpha=\"0.05\", expect_size=\"50461696\"] \n  13 -> 18 [size =\"50461696\"]\n  13 -> 20 [size =\"50461696\"]\n  13 -> 22 [size =\"50461696\"]\n  13 -> 22 [size =\"50461696\"]\n  13 -> 23 [size =\"50461696\"]\n  13 -> 26 [size =\"50461696\"]\n  13 -> 29 [size =\"50461696\"]\n  14 [size=\"141042347\", alpha=\"0.18\", expect_size=\"42312704\"] \n  14 -> 17 [size =\"42312704\"]\n  14 -> 18 [size =\"42312704\"]\n  14 -> 23 [size =\"42312704\"]\n  14 -> 25 [size =\"42312704\"]\n  14 -> 29 [size =\"42312704\"]\n  15 [size=\"38833493\", alpha=\"0.09\", expect_size=\"11650048\"] \n  15 -> 16 [size =\"11650048\"]\n  15 -> 18 [size =\"11650048\"]\n  15 -> 29 [size =\"11650048\"]\n  15 -> 30 [size =\"11650048\"]\n  16 [size=\"47790080\", alpha=\"0.15\", expect_size=\"14337024\"] \n  16 -> 34 [size =\"14337024\"]\n  16 -> 35 [size =\"14337024\"]\n  16 -> 37 [size =\"14337024\"]\n  17 [size=\"141912747\", alpha=\"0.19\", expect_size=\"42573824\"] \n  17 -> 36 [size =\"42573824\"]\n  17 -> 39 [size =\"42573824\"]\n  18 [size=\"21227520\", alpha=\"0.19\", expect_size=\"6368256\"] \n  18 -> 33 [size =\"6368256\"]\n  18 -> 37 [size =\"6368256\"]\n  18 -> 39 [size =\"6368256\"]\n  19 [size=\"96133120\", alpha=\"0.07\", expect_size=\"28839936\"] \n  19 -> 32 [size =\"28839936\"]\n  19 -> 37 [size =\"28839936\"]\n  19 -> 38 [size =\"28839936\"]\n  19 -> 39 [size =\"28839936\"]\n  20 [size=\"134130347\", alpha=\"0.10\", expect_size=\"40239104\"] \n  20 -> 37 [size =\"40239104\"]\n  21 [size=\"136697173\", alpha=\"0.06\", expect_size=\"41009152\"] \n  21 -> 35 [size =\"41009152\"]\n  21 -> 36 [size =\"41009152\"]\n  21 -> 40 [size =\"41009152\"]\n  22 [size=\"23719253\", alpha=\"0.20\", expect_size=\"7115776\"] \n  22 -> 31 [size =\"7115776\"]\n  22 -> 33 [size =\"7115776\"]\n  22 -> 37 [size =\"7115776\"]\n  23 [size=\"94853120\", alpha=\"0.19\", expect_size=\"28455936\"] \n  23 -> 31 [size =\"28455936\"]\n  23 -> 32 [size =\"28455936\"]\n  23 -> 38 [size =\"28455936\"]\n  24 [size=\"133632000\", alpha=\"0.18\", expect_size=\"40089600\"] \n  24 -> 31 [size =\"40089600\"]\n  25 [size=\"116125013\", alpha=\"0.11\", expect_size=\"34837504\"] \n  25 -> 32 [size =\"34837504\"]\n  25 -> 35 [size =\"34837504\"]\n  26 [size=\"27344213\", alpha=\"0.07\", expect_size=\"8203264\"] \n  26 -> 33 [size =\"8203264\"]\n  26 -> 40 [size =\"8203264\"]\n  27 [size=\"148561920\", alpha=\"0.11\", expect_size=\"44568576\"] \n  27 -> 32 [size =\"44568576\"]\n  27 -> 33 [size =\"44568576\"]\n  27 -> 35 [size =\"44568576\"]\n  27 -> 40 [size =\"44568576\"]\n  28 [size=\"140141227\", alpha=\"0.02\", expect_size=\"42042368\"] \n  28 -> 33 [size =\"42042368\"]\n  28 -> 35 [size =\"42042368\"]\n  29 [size=\"134280533\", alpha=\"0.00\", expect_size=\"40284160\"] \n  29 -> 33 [size =\"40284160\"]\n  29 -> 35 [size =\"40284160\"]\n  30 [size=\"31590400\", alpha=\"0.09\", expect_size=\"9477120\"] \n  30 -> 31 [size =\"9477120\"]\n  30 -> 33 [size =\"9477120\"]\n  30 -> 37 [size =\"9477120\"]\n  30 -> 40 [size =\"9477120\"]\n  31 [size=\"112578560\", alpha=\"0.19\", expect_size=\"33773568\"] \n  32 [size=\"158235307\", alpha=\"0.07\", expect_size=\"47470592\"] \n  33 [size=\"157853013\", alpha=\"0.14\", expect_size=\"47355904\"] \n  34 [size=\"146394453\", alpha=\"0.16\", expect_size=\"43918336\"] \n  35 [size=\"129310720\", alpha=\"0.02\", expect_size=\"38793216\"] \n  36 [size=\"56524800\", alpha=\"0.11\", expect_size=\"16957440\"] \n  37 [size=\"109786453\", alpha=\"0.16\", expect_size=\"32935936\"] \n  38 [size=\"40246613\", alpha=\"0.01\", expect_size=\"12073984\"] \n  39 [size=\"58272427\", alpha=\"0.17\", expect_size=\"17481728\"] \n  40 [size=\"59753813\", alpha=\"0.07\", expect_size=\"17926144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81354240\", alpha=\"0.13\", expect_size=\"32541696\"] \n  1 -> 28 [size =\"32541696\"]\n  1 -> 31 [size =\"32541696\"]\n  1 -> 33 [size =\"32541696\"]\n  1 -> 36 [size =\"32541696\"]\n  2 [size=\"109831680\", alpha=\"0.15\", expect_size=\"43932672\"] \n  2 -> 28 [size =\"43932672\"]\n  2 -> 31 [size =\"43932672\"]\n  2 -> 32 [size =\"43932672\"]\n  2 -> 33 [size =\"43932672\"]\n  2 -> 36 [size =\"43932672\"]\n  2 -> 39 [size =\"43932672\"]\n  2 -> 40 [size =\"43932672\"]\n  3 [size=\"91527680\", alpha=\"0.16\", expect_size=\"36611072\"] \n  3 -> 31 [size =\"36611072\"]\n  3 -> 33 [size =\"36611072\"]\n  4 [size=\"90091520\", alpha=\"0.05\", expect_size=\"36036608\"] \n  4 -> 33 [size =\"36036608\"]\n  4 -> 34 [size =\"36036608\"]\n  4 -> 40 [size =\"36036608\"]\n  5 [size=\"111585280\", alpha=\"0.18\", expect_size=\"44634112\"] \n  5 -> 33 [size =\"44634112\"]\n  5 -> 37 [size =\"44634112\"]\n  5 -> 40 [size =\"44634112\"]\n  6 [size=\"23342080\", alpha=\"0.03\", expect_size=\"9336832\"] \n  6 -> 28 [size =\"9336832\"]\n  6 -> 30 [size =\"9336832\"]\n  6 -> 33 [size =\"9336832\"]\n  6 -> 34 [size =\"9336832\"]\n  6 -> 36 [size =\"9336832\"]\n  6 -> 40 [size =\"9336832\"]\n  7 [size=\"41917440\", alpha=\"0.12\", expect_size=\"16766976\"] \n  7 -> 28 [size =\"16766976\"]\n  7 -> 31 [size =\"16766976\"]\n  7 -> 33 [size =\"16766976\"]\n  7 -> 36 [size =\"16766976\"]\n  7 -> 36 [size =\"16766976\"]\n  7 -> 40 [size =\"16766976\"]\n  8 [size=\"128207360\", alpha=\"0.10\", expect_size=\"51282944\"] \n  8 -> 28 [size =\"51282944\"]\n  8 -> 29 [size =\"51282944\"]\n  8 -> 31 [size =\"51282944\"]\n  8 -> 33 [size =\"51282944\"]\n  8 -> 34 [size =\"51282944\"]\n  8 -> 35 [size =\"51282944\"]\n  8 -> 37 [size =\"51282944\"]\n  8 -> 40 [size =\"51282944\"]\n  9 [size=\"118817280\", alpha=\"0.01\", expect_size=\"47526912\"] \n  9 -> 28 [size =\"47526912\"]\n  9 -> 29 [size =\"47526912\"]\n  9 -> 30 [size =\"47526912\"]\n  9 -> 32 [size =\"47526912\"]\n  9 -> 33 [size =\"47526912\"]\n  9 -> 36 [size =\"47526912\"]\n  9 -> 37 [size =\"47526912\"]\n  10 [size=\"56645120\", alpha=\"0.11\", expect_size=\"22658048\"] \n  10 -> 28 [size =\"22658048\"]\n  10 -> 31 [size =\"22658048\"]\n  10 -> 33 [size =\"22658048\"]\n  10 -> 34 [size =\"22658048\"]\n  10 -> 36 [size =\"22658048\"]\n  10 -> 36 [size =\"22658048\"]\n  11 [size=\"68472320\", alpha=\"0.06\", expect_size=\"27388928\"] \n  11 -> 28 [size =\"27388928\"]\n  11 -> 33 [size =\"27388928\"]\n  11 -> 35 [size =\"27388928\"]\n  11 -> 36 [size =\"27388928\"]\n  11 -> 36 [size =\"27388928\"]\n  11 -> 40 [size =\"27388928\"]\n  12 [size=\"25152000\", alpha=\"0.10\", expect_size=\"10060800\"] \n  12 -> 28 [size =\"10060800\"]\n  12 -> 31 [size =\"10060800\"]\n  12 -> 32 [size =\"10060800\"]\n  12 -> 33 [size =\"10060800\"]\n  12 -> 34 [size =\"10060800\"]\n  12 -> 36 [size =\"10060800\"]\n  12 -> 37 [size =\"10060800\"]\n  13 [size=\"114785280\", alpha=\"0.17\", expect_size=\"45914112\"] \n  13 -> 28 [size =\"45914112\"]\n  13 -> 33 [size =\"45914112\"]\n  13 -> 34 [size =\"45914112\"]\n  13 -> 36 [size =\"45914112\"]\n  13 -> 37 [size =\"45914112\"]\n  13 -> 40 [size =\"45914112\"]\n  14 [size=\"92659200\", alpha=\"0.04\", expect_size=\"37063680\"] \n  14 -> 32 [size =\"37063680\"]\n  14 -> 34 [size =\"37063680\"]\n  14 -> 36 [size =\"37063680\"]\n  14 -> 36 [size =\"37063680\"]\n  14 -> 38 [size =\"37063680\"]\n  15 [size=\"121564160\", alpha=\"0.16\", expect_size=\"48625664\"] \n  15 -> 28 [size =\"48625664\"]\n  15 -> 31 [size =\"48625664\"]\n  15 -> 32 [size =\"48625664\"]\n  15 -> 33 [size =\"48625664\"]\n  15 -> 36 [size =\"48625664\"]\n  15 -> 38 [size =\"48625664\"]\n  16 [size=\"110891520\", alpha=\"0.07\", expect_size=\"44356608\"] \n  16 -> 28 [size =\"44356608\"]\n  16 -> 30 [size =\"44356608\"]\n  16 -> 32 [size =\"44356608\"]\n  16 -> 33 [size =\"44356608\"]\n  16 -> 36 [size =\"44356608\"]\n  16 -> 37 [size =\"44356608\"]\n  16 -> 39 [size =\"44356608\"]\n  16 -> 40 [size =\"44356608\"]\n  17 [size=\"129607680\", alpha=\"0.08\", expect_size=\"51843072\"] \n  17 -> 30 [size =\"51843072\"]\n  17 -> 32 [size =\"51843072\"]\n  17 -> 36 [size =\"51843072\"]\n  17 -> 37 [size =\"51843072\"]\n  17 -> 40 [size =\"51843072\"]\n  18 [size=\"80258560\", alpha=\"0.04\", expect_size=\"32103424\"] \n  18 -> 28 [size =\"32103424\"]\n  18 -> 31 [size =\"32103424\"]\n  18 -> 32 [size =\"32103424\"]\n  18 -> 33 [size =\"32103424\"]\n  18 -> 34 [size =\"32103424\"]\n  18 -> 35 [size =\"32103424\"]\n  18 -> 36 [size =\"32103424\"]\n  18 -> 37 [size =\"32103424\"]\n  19 [size=\"18434560\", alpha=\"0.19\", expect_size=\"7373824\"] \n  19 -> 28 [size =\"7373824\"]\n  19 -> 30 [size =\"7373824\"]\n  19 -> 32 [size =\"7373824\"]\n  19 -> 33 [size =\"7373824\"]\n  19 -> 36 [size =\"7373824\"]\n  20 [size=\"26856960\", alpha=\"0.15\", expect_size=\"10742784\"] \n  20 -> 30 [size =\"10742784\"]\n  20 -> 32 [size =\"10742784\"]\n  20 -> 33 [size =\"10742784\"]\n  21 [size=\"94430720\", alpha=\"0.02\", expect_size=\"37772288\"] \n  21 -> 28 [size =\"37772288\"]\n  21 -> 32 [size =\"37772288\"]\n  21 -> 33 [size =\"37772288\"]\n  21 -> 35 [size =\"37772288\"]\n  21 -> 37 [size =\"37772288\"]\n  21 -> 40 [size =\"37772288\"]\n  22 [size=\"14476800\", alpha=\"0.06\", expect_size=\"5790720\"] \n  22 -> 29 [size =\"5790720\"]\n  22 -> 32 [size =\"5790720\"]\n  22 -> 33 [size =\"5790720\"]\n  22 -> 40 [size =\"5790720\"]\n  23 [size=\"70904320\", alpha=\"0.04\", expect_size=\"28361728\"] \n  23 -> 31 [size =\"28361728\"]\n  23 -> 32 [size =\"28361728\"]\n  23 -> 33 [size =\"28361728\"]\n  23 -> 34 [size =\"28361728\"]\n  23 -> 39 [size =\"28361728\"]\n  23 -> 40 [size =\"28361728\"]\n  24 [size=\"55879680\", alpha=\"0.14\", expect_size=\"22351872\"] \n  24 -> 32 [size =\"22351872\"]\n  24 -> 32 [size =\"22351872\"]\n  24 -> 34 [size =\"22351872\"]\n  24 -> 36 [size =\"22351872\"]\n  24 -> 40 [size =\"22351872\"]\n  25 [size=\"81044480\", alpha=\"0.01\", expect_size=\"32417792\"] \n  25 -> 32 [size =\"32417792\"]\n  25 -> 33 [size =\"32417792\"]\n  25 -> 35 [size =\"32417792\"]\n  25 -> 36 [size =\"32417792\"]\n  26 [size=\"59617280\", alpha=\"0.10\", expect_size=\"23846912\"] \n  26 -> 28 [size =\"23846912\"]\n  26 -> 32 [size =\"23846912\"]\n  26 -> 33 [size =\"23846912\"]\n  26 -> 35 [size =\"23846912\"]\n  26 -> 36 [size =\"23846912\"]\n  26 -> 40 [size =\"23846912\"]\n  27 [size=\"102730240\", alpha=\"0.03\", expect_size=\"41092096\"] \n  27 -> 36 [size =\"41092096\"]\n  27 -> 40 [size =\"41092096\"]\n  28 [size=\"31726080\", alpha=\"0.16\", expect_size=\"12690432\"] \n  29 [size=\"55577600\", alpha=\"0.07\", expect_size=\"22231040\"] \n  30 [size=\"48509440\", alpha=\"0.06\", expect_size=\"19403776\"] \n  31 [size=\"17807360\", alpha=\"0.14\", expect_size=\"7122944\"] \n  32 [size=\"31715840\", alpha=\"0.04\", expect_size=\"12686336\"] \n  33 [size=\"68999680\", alpha=\"0.11\", expect_size=\"27599872\"] \n  34 [size=\"90109440\", alpha=\"0.11\", expect_size=\"36043776\"] \n  35 [size=\"54069760\", alpha=\"0.10\", expect_size=\"21627904\"] \n  36 [size=\"59358720\", alpha=\"0.06\", expect_size=\"23743488\"] \n  37 [size=\"116208640\", alpha=\"0.01\", expect_size=\"46483456\"] \n  38 [size=\"17505280\", alpha=\"0.08\", expect_size=\"7002112\"] \n  39 [size=\"114275840\", alpha=\"0.16\", expect_size=\"45710336\"] \n  40 [size=\"40373760\", alpha=\"0.05\", expect_size=\"16149504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21094400\", alpha=\"0.12\", expect_size=\"6328320\"] \n  1 -> 3 [size =\"6328320\"]\n  1 -> 4 [size =\"6328320\"]\n  1 -> 5 [size =\"6328320\"]\n  1 -> 6 [size =\"6328320\"]\n  2 [size=\"85497173\", alpha=\"0.18\", expect_size=\"25649152\"] \n  2 -> 5 [size =\"25649152\"]\n  2 -> 6 [size =\"25649152\"]\n  3 [size=\"118203733\", alpha=\"0.05\", expect_size=\"35461120\"] \n  3 -> 9 [size =\"35461120\"]\n  4 [size=\"137533440\", alpha=\"0.07\", expect_size=\"41260032\"] \n  5 [size=\"37894827\", alpha=\"0.10\", expect_size=\"11368448\"] \n  5 -> 7 [size =\"11368448\"]\n  5 -> 9 [size =\"11368448\"]\n  6 [size=\"22824960\", alpha=\"0.09\", expect_size=\"6847488\"] \n  6 -> 8 [size =\"6847488\"]\n  6 -> 9 [size =\"6847488\"]\n  7 [size=\"130676053\", alpha=\"0.09\", expect_size=\"39202816\"] \n  7 -> 10 [size =\"39202816\"]\n  8 [size=\"93573120\", alpha=\"0.06\", expect_size=\"28071936\"] \n  8 -> 10 [size =\"28071936\"]\n  9 [size=\"137475413\", alpha=\"0.03\", expect_size=\"41242624\"] \n  9 -> 11 [size =\"41242624\"]\n  10 [size=\"55804587\", alpha=\"0.10\", expect_size=\"16741376\"] \n  10 -> 12 [size =\"16741376\"]\n  11 [size=\"28050773\", alpha=\"0.15\", expect_size=\"8415232\"] \n  12 [size=\"125924693\", alpha=\"0.05\", expect_size=\"37777408\"] \n  12 -> 13 [size =\"37777408\"]\n  12 -> 14 [size =\"37777408\"]\n  12 -> 15 [size =\"37777408\"]\n  13 [size=\"109810347\", alpha=\"0.05\", expect_size=\"32943104\"] \n  13 -> 16 [size =\"32943104\"]\n  13 -> 19 [size =\"32943104\"]\n  14 [size=\"145742507\", alpha=\"0.13\", expect_size=\"43722752\"] \n  14 -> 16 [size =\"43722752\"]\n  14 -> 18 [size =\"43722752\"]\n  15 [size=\"40089600\", alpha=\"0.09\", expect_size=\"12026880\"] \n  15 -> 17 [size =\"12026880\"]\n  15 -> 19 [size =\"12026880\"]\n  16 [size=\"120582827\", alpha=\"0.08\", expect_size=\"36174848\"] \n  16 -> 21 [size =\"36174848\"]\n  17 [size=\"32634880\", alpha=\"0.15\", expect_size=\"9790464\"] \n  17 -> 22 [size =\"9790464\"]\n  17 -> 23 [size =\"9790464\"]\n  18 [size=\"102553600\", alpha=\"0.00\", expect_size=\"30766080\"] \n  18 -> 23 [size =\"30766080\"]\n  19 [size=\"149343573\", alpha=\"0.16\", expect_size=\"44803072\"] \n  19 -> 20 [size =\"44803072\"]\n  20 [size=\"170123947\", alpha=\"0.05\", expect_size=\"51037184\"] \n  20 -> 24 [size =\"51037184\"]\n  20 -> 25 [size =\"51037184\"]\n  21 [size=\"88971947\", alpha=\"0.15\", expect_size=\"26691584\"] \n  22 [size=\"51247787\", alpha=\"0.13\", expect_size=\"15374336\"] \n  23 [size=\"89907200\", alpha=\"0.04\", expect_size=\"26972160\"] \n  23 -> 25 [size =\"26972160\"]\n  24 [size=\"127064747\", alpha=\"0.10\", expect_size=\"38119424\"] \n  24 -> 27 [size =\"38119424\"]\n  25 [size=\"75717973\", alpha=\"0.18\", expect_size=\"22715392\"] \n  25 -> 26 [size =\"22715392\"]\n  25 -> 28 [size =\"22715392\"]\n  26 [size=\"143711573\", alpha=\"0.08\", expect_size=\"43113472\"] \n  26 -> 29 [size =\"43113472\"]\n  26 -> 30 [size =\"43113472\"]\n  27 [size=\"50674347\", alpha=\"0.12\", expect_size=\"15202304\"] \n  27 -> 30 [size =\"15202304\"]\n  27 -> 31 [size =\"15202304\"]\n  27 -> 32 [size =\"15202304\"]\n  28 [size=\"172315307\", alpha=\"0.05\", expect_size=\"51694592\"] \n  28 -> 29 [size =\"51694592\"]\n  28 -> 32 [size =\"51694592\"]\n  29 [size=\"174725120\", alpha=\"0.14\", expect_size=\"52417536\"] \n  29 -> 34 [size =\"52417536\"]\n  30 [size=\"146360320\", alpha=\"0.07\", expect_size=\"43908096\"] \n  30 -> 34 [size =\"43908096\"]\n  31 [size=\"30914560\", alpha=\"0.02\", expect_size=\"9274368\"] \n  31 -> 33 [size =\"9274368\"]\n  32 [size=\"146582187\", alpha=\"0.11\", expect_size=\"43974656\"] \n  32 -> 34 [size =\"43974656\"]\n  33 [size=\"89521493\", alpha=\"0.11\", expect_size=\"26856448\"] \n  33 -> 36 [size =\"26856448\"]\n  33 -> 37 [size =\"26856448\"]\n  34 [size=\"117749760\", alpha=\"0.08\", expect_size=\"35324928\"] \n  34 -> 35 [size =\"35324928\"]\n  34 -> 36 [size =\"35324928\"]\n  34 -> 37 [size =\"35324928\"]\n  35 [size=\"36754773\", alpha=\"0.08\", expect_size=\"11026432\"] \n  35 -> 39 [size =\"11026432\"]\n  36 [size=\"24244907\", alpha=\"0.01\", expect_size=\"7273472\"] \n  36 -> 38 [size =\"7273472\"]\n  37 [size=\"85568853\", alpha=\"0.15\", expect_size=\"25670656\"] \n  37 -> 39 [size =\"25670656\"]\n  38 [size=\"19360427\", alpha=\"0.01\", expect_size=\"5808128\"] \n  39 [size=\"58999467\", alpha=\"0.03\", expect_size=\"17699840\"] \n  39 -> 40 [size =\"17699840\"]\n  40 [size=\"167205547\", alpha=\"0.05\", expect_size=\"50161664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142093653\", alpha=\"0.17\", expect_size=\"42628096\"] \n  1 -> 28 [size =\"42628096\"]\n  1 -> 29 [size =\"42628096\"]\n  1 -> 37 [size =\"42628096\"]\n  1 -> 38 [size =\"42628096\"]\n  2 [size=\"50063360\", alpha=\"0.09\", expect_size=\"15019008\"] \n  2 -> 36 [size =\"15019008\"]\n  2 -> 38 [size =\"15019008\"]\n  3 [size=\"157719893\", alpha=\"0.17\", expect_size=\"47315968\"] \n  3 -> 32 [size =\"47315968\"]\n  3 -> 36 [size =\"47315968\"]\n  3 -> 37 [size =\"47315968\"]\n  4 [size=\"65645227\", alpha=\"0.19\", expect_size=\"19693568\"] \n  4 -> 27 [size =\"19693568\"]\n  4 -> 32 [size =\"19693568\"]\n  4 -> 37 [size =\"19693568\"]\n  5 [size=\"144667307\", alpha=\"0.13\", expect_size=\"43400192\"] \n  5 -> 27 [size =\"43400192\"]\n  5 -> 29 [size =\"43400192\"]\n  5 -> 32 [size =\"43400192\"]\n  5 -> 36 [size =\"43400192\"]\n  5 -> 37 [size =\"43400192\"]\n  5 -> 38 [size =\"43400192\"]\n  6 [size=\"41526613\", alpha=\"0.16\", expect_size=\"12457984\"] \n  6 -> 32 [size =\"12457984\"]\n  6 -> 35 [size =\"12457984\"]\n  6 -> 36 [size =\"12457984\"]\n  6 -> 37 [size =\"12457984\"]\n  6 -> 38 [size =\"12457984\"]\n  6 -> 39 [size =\"12457984\"]\n  6 -> 40 [size =\"12457984\"]\n  7 [size=\"24497493\", alpha=\"0.08\", expect_size=\"7349248\"] \n  7 -> 36 [size =\"7349248\"]\n  8 [size=\"91931307\", alpha=\"0.08\", expect_size=\"27579392\"] \n  8 -> 28 [size =\"27579392\"]\n  8 -> 29 [size =\"27579392\"]\n  9 [size=\"135587840\", alpha=\"0.19\", expect_size=\"40676352\"] \n  9 -> 26 [size =\"40676352\"]\n  9 -> 30 [size =\"40676352\"]\n  9 -> 33 [size =\"40676352\"]\n  9 -> 35 [size =\"40676352\"]\n  9 -> 38 [size =\"40676352\"]\n  10 [size=\"118637227\", alpha=\"0.08\", expect_size=\"35591168\"] \n  10 -> 27 [size =\"35591168\"]\n  10 -> 28 [size =\"35591168\"]\n  11 [size=\"80257707\", alpha=\"0.18\", expect_size=\"24077312\"] \n  11 -> 27 [size =\"24077312\"]\n  11 -> 35 [size =\"24077312\"]\n  11 -> 38 [size =\"24077312\"]\n  12 [size=\"60245333\", alpha=\"0.10\", expect_size=\"18073600\"] \n  12 -> 31 [size =\"18073600\"]\n  13 [size=\"130140160\", alpha=\"0.15\", expect_size=\"39042048\"] \n  13 -> 28 [size =\"39042048\"]\n  13 -> 36 [size =\"39042048\"]\n  13 -> 37 [size =\"39042048\"]\n  14 [size=\"107393707\", alpha=\"0.04\", expect_size=\"32218112\"] \n  14 -> 28 [size =\"32218112\"]\n  14 -> 32 [size =\"32218112\"]\n  14 -> 34 [size =\"32218112\"]\n  14 -> 40 [size =\"32218112\"]\n  15 [size=\"100771840\", alpha=\"0.13\", expect_size=\"30231552\"] \n  15 -> 28 [size =\"30231552\"]\n  15 -> 29 [size =\"30231552\"]\n  15 -> 38 [size =\"30231552\"]\n  16 [size=\"44544000\", alpha=\"0.10\", expect_size=\"13363200\"] \n  16 -> 28 [size =\"13363200\"]\n  16 -> 29 [size =\"13363200\"]\n  16 -> 32 [size =\"13363200\"]\n  16 -> 35 [size =\"13363200\"]\n  16 -> 38 [size =\"13363200\"]\n  17 [size=\"172496213\", alpha=\"0.05\", expect_size=\"51748864\"] \n  17 -> 27 [size =\"51748864\"]\n  17 -> 28 [size =\"51748864\"]\n  17 -> 29 [size =\"51748864\"]\n  17 -> 31 [size =\"51748864\"]\n  17 -> 32 [size =\"51748864\"]\n  17 -> 34 [size =\"51748864\"]\n  17 -> 38 [size =\"51748864\"]\n  18 [size=\"78349653\", alpha=\"0.19\", expect_size=\"23504896\"] \n  18 -> 28 [size =\"23504896\"]\n  18 -> 29 [size =\"23504896\"]\n  18 -> 31 [size =\"23504896\"]\n  18 -> 35 [size =\"23504896\"]\n  18 -> 38 [size =\"23504896\"]\n  19 [size=\"141704533\", alpha=\"0.20\", expect_size=\"42511360\"] \n  19 -> 26 [size =\"42511360\"]\n  19 -> 29 [size =\"42511360\"]\n  20 [size=\"134232747\", alpha=\"0.05\", expect_size=\"40269824\"] \n  20 -> 26 [size =\"40269824\"]\n  20 -> 32 [size =\"40269824\"]\n  20 -> 35 [size =\"40269824\"]\n  20 -> 38 [size =\"40269824\"]\n  21 [size=\"38109867\", alpha=\"0.07\", expect_size=\"11432960\"] \n  21 -> 27 [size =\"11432960\"]\n  21 -> 30 [size =\"11432960\"]\n  21 -> 32 [size =\"11432960\"]\n  21 -> 35 [size =\"11432960\"]\n  21 -> 40 [size =\"11432960\"]\n  22 [size=\"25579520\", alpha=\"0.12\", expect_size=\"7673856\"] \n  22 -> 30 [size =\"7673856\"]\n  23 [size=\"107776000\", alpha=\"0.16\", expect_size=\"32332800\"] \n  23 -> 28 [size =\"32332800\"]\n  23 -> 29 [size =\"32332800\"]\n  23 -> 30 [size =\"32332800\"]\n  23 -> 31 [size =\"32332800\"]\n  23 -> 37 [size =\"32332800\"]\n  24 [size=\"69713920\", alpha=\"0.05\", expect_size=\"20914176\"] \n  24 -> 27 [size =\"20914176\"]\n  24 -> 28 [size =\"20914176\"]\n  24 -> 29 [size =\"20914176\"]\n  24 -> 33 [size =\"20914176\"]\n  24 -> 37 [size =\"20914176\"]\n  24 -> 38 [size =\"20914176\"]\n  25 [size=\"102266880\", alpha=\"0.11\", expect_size=\"30680064\"] \n  25 -> 29 [size =\"30680064\"]\n  25 -> 35 [size =\"30680064\"]\n  26 [size=\"47909547\", alpha=\"0.20\", expect_size=\"14372864\"] \n  27 [size=\"123306667\", alpha=\"0.09\", expect_size=\"36992000\"] \n  28 [size=\"160317440\", alpha=\"0.08\", expect_size=\"48095232\"] \n  29 [size=\"154968747\", alpha=\"0.02\", expect_size=\"46490624\"] \n  30 [size=\"154368000\", alpha=\"0.09\", expect_size=\"46310400\"] \n  31 [size=\"40004267\", alpha=\"0.04\", expect_size=\"12001280\"] \n  32 [size=\"93781333\", alpha=\"0.05\", expect_size=\"28134400\"] \n  33 [size=\"33720320\", alpha=\"0.19\", expect_size=\"10116096\"] \n  34 [size=\"157351253\", alpha=\"0.05\", expect_size=\"47205376\"] \n  35 [size=\"40987307\", alpha=\"0.02\", expect_size=\"12296192\"] \n  36 [size=\"126395733\", alpha=\"0.02\", expect_size=\"37918720\"] \n  37 [size=\"123050667\", alpha=\"0.02\", expect_size=\"36915200\"] \n  38 [size=\"37973333\", alpha=\"0.10\", expect_size=\"11392000\"] \n  39 [size=\"102912000\", alpha=\"0.13\", expect_size=\"30873600\"] \n  40 [size=\"121408853\", alpha=\"0.12\", expect_size=\"36422656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119441920\", alpha=\"0.03\", expect_size=\"47776768\"] \n  1 -> 8 [size =\"47776768\"]\n  1 -> 9 [size =\"47776768\"]\n  2 [size=\"42301440\", alpha=\"0.06\", expect_size=\"16920576\"] \n  2 -> 9 [size =\"16920576\"]\n  3 [size=\"55769600\", alpha=\"0.13\", expect_size=\"22307840\"] \n  3 -> 8 [size =\"22307840\"]\n  3 -> 9 [size =\"22307840\"]\n  4 [size=\"96314880\", alpha=\"0.14\", expect_size=\"38525952\"] \n  4 -> 8 [size =\"38525952\"]\n  4 -> 9 [size =\"38525952\"]\n  5 [size=\"55232000\", alpha=\"0.04\", expect_size=\"22092800\"] \n  5 -> 8 [size =\"22092800\"]\n  5 -> 9 [size =\"22092800\"]\n  6 [size=\"34460160\", alpha=\"0.03\", expect_size=\"13784064\"] \n  6 -> 7 [size =\"13784064\"]\n  6 -> 8 [size =\"13784064\"]\n  7 [size=\"61524480\", alpha=\"0.15\", expect_size=\"24609792\"] \n  7 -> 10 [size =\"24609792\"]\n  7 -> 11 [size =\"24609792\"]\n  7 -> 13 [size =\"24609792\"]\n  7 -> 14 [size =\"24609792\"]\n  8 [size=\"71582720\", alpha=\"0.17\", expect_size=\"28633088\"] \n  8 -> 10 [size =\"28633088\"]\n  8 -> 11 [size =\"28633088\"]\n  8 -> 13 [size =\"28633088\"]\n  8 -> 14 [size =\"28633088\"]\n  9 [size=\"118154240\", alpha=\"0.02\", expect_size=\"47261696\"] \n  9 -> 10 [size =\"47261696\"]\n  9 -> 11 [size =\"47261696\"]\n  9 -> 12 [size =\"47261696\"]\n  9 -> 13 [size =\"47261696\"]\n  9 -> 14 [size =\"47261696\"]\n  10 [size=\"76334080\", alpha=\"0.02\", expect_size=\"30533632\"] \n  10 -> 15 [size =\"30533632\"]\n  10 -> 17 [size =\"30533632\"]\n  10 -> 18 [size =\"30533632\"]\n  10 -> 19 [size =\"30533632\"]\n  10 -> 20 [size =\"30533632\"]\n  10 -> 21 [size =\"30533632\"]\n  11 [size=\"17198080\", alpha=\"0.20\", expect_size=\"6879232\"] \n  11 -> 16 [size =\"6879232\"]\n  11 -> 17 [size =\"6879232\"]\n  11 -> 18 [size =\"6879232\"]\n  11 -> 19 [size =\"6879232\"]\n  11 -> 21 [size =\"6879232\"]\n  12 [size=\"31989760\", alpha=\"0.11\", expect_size=\"12795904\"] \n  12 -> 15 [size =\"12795904\"]\n  12 -> 18 [size =\"12795904\"]\n  12 -> 20 [size =\"12795904\"]\n  12 -> 21 [size =\"12795904\"]\n  12 -> 21 [size =\"12795904\"]\n  13 [size=\"65771520\", alpha=\"0.01\", expect_size=\"26308608\"] \n  13 -> 15 [size =\"26308608\"]\n  13 -> 16 [size =\"26308608\"]\n  13 -> 17 [size =\"26308608\"]\n  13 -> 18 [size =\"26308608\"]\n  13 -> 20 [size =\"26308608\"]\n  14 [size=\"27432960\", alpha=\"0.03\", expect_size=\"10973184\"] \n  14 -> 15 [size =\"10973184\"]\n  14 -> 18 [size =\"10973184\"]\n  14 -> 21 [size =\"10973184\"]\n  15 [size=\"107857920\", alpha=\"0.09\", expect_size=\"43143168\"] \n  15 -> 22 [size =\"43143168\"]\n  15 -> 23 [size =\"43143168\"]\n  15 -> 25 [size =\"43143168\"]\n  16 [size=\"14282240\", alpha=\"0.17\", expect_size=\"5712896\"] \n  16 -> 22 [size =\"5712896\"]\n  16 -> 24 [size =\"5712896\"]\n  16 -> 25 [size =\"5712896\"]\n  17 [size=\"33169920\", alpha=\"0.19\", expect_size=\"13267968\"] \n  17 -> 24 [size =\"13267968\"]\n  17 -> 24 [size =\"13267968\"]\n  18 [size=\"122667520\", alpha=\"0.15\", expect_size=\"49067008\"] \n  18 -> 23 [size =\"49067008\"]\n  18 -> 24 [size =\"49067008\"]\n  18 -> 25 [size =\"49067008\"]\n  19 [size=\"103649280\", alpha=\"0.04\", expect_size=\"41459712\"] \n  19 -> 24 [size =\"41459712\"]\n  19 -> 25 [size =\"41459712\"]\n  20 [size=\"112755200\", alpha=\"0.19\", expect_size=\"45102080\"] \n  20 -> 24 [size =\"45102080\"]\n  20 -> 25 [size =\"45102080\"]\n  21 [size=\"125591040\", alpha=\"0.13\", expect_size=\"50236416\"] \n  21 -> 24 [size =\"50236416\"]\n  21 -> 25 [size =\"50236416\"]\n  22 [size=\"123212800\", alpha=\"0.11\", expect_size=\"49285120\"] \n  22 -> 26 [size =\"49285120\"]\n  22 -> 27 [size =\"49285120\"]\n  22 -> 28 [size =\"49285120\"]\n  22 -> 29 [size =\"49285120\"]\n  22 -> 30 [size =\"49285120\"]\n  22 -> 31 [size =\"49285120\"]\n  23 [size=\"68641280\", alpha=\"0.17\", expect_size=\"27456512\"] \n  23 -> 26 [size =\"27456512\"]\n  23 -> 29 [size =\"27456512\"]\n  23 -> 31 [size =\"27456512\"]\n  24 [size=\"73195520\", alpha=\"0.16\", expect_size=\"29278208\"] \n  24 -> 26 [size =\"29278208\"]\n  24 -> 29 [size =\"29278208\"]\n  24 -> 31 [size =\"29278208\"]\n  25 [size=\"93301760\", alpha=\"0.03\", expect_size=\"37320704\"] \n  25 -> 26 [size =\"37320704\"]\n  25 -> 27 [size =\"37320704\"]\n  25 -> 28 [size =\"37320704\"]\n  25 -> 29 [size =\"37320704\"]\n  25 -> 31 [size =\"37320704\"]\n  26 [size=\"30924800\", alpha=\"0.14\", expect_size=\"12369920\"] \n  26 -> 32 [size =\"12369920\"]\n  26 -> 33 [size =\"12369920\"]\n  26 -> 35 [size =\"12369920\"]\n  27 [size=\"128263680\", alpha=\"0.12\", expect_size=\"51305472\"] \n  28 [size=\"122810880\", alpha=\"0.01\", expect_size=\"49124352\"] \n  29 [size=\"91394560\", alpha=\"0.07\", expect_size=\"36557824\"] \n  29 -> 35 [size =\"36557824\"]\n  30 [size=\"112985600\", alpha=\"0.05\", expect_size=\"45194240\"] \n  31 [size=\"107550720\", alpha=\"0.02\", expect_size=\"43020288\"] \n  31 -> 32 [size =\"43020288\"]\n  31 -> 34 [size =\"43020288\"]\n  32 [size=\"63457280\", alpha=\"0.03\", expect_size=\"25382912\"] \n  32 -> 36 [size =\"25382912\"]\n  32 -> 38 [size =\"25382912\"]\n  33 [size=\"127866880\", alpha=\"0.13\", expect_size=\"51146752\"] \n  33 -> 36 [size =\"51146752\"]\n  33 -> 38 [size =\"51146752\"]\n  34 [size=\"107512320\", alpha=\"0.06\", expect_size=\"43004928\"] \n  34 -> 36 [size =\"43004928\"]\n  34 -> 38 [size =\"43004928\"]\n  35 [size=\"85601280\", alpha=\"0.14\", expect_size=\"34240512\"] \n  35 -> 36 [size =\"34240512\"]\n  35 -> 37 [size =\"34240512\"]\n  35 -> 38 [size =\"34240512\"]\n  36 [size=\"104263680\", alpha=\"0.03\", expect_size=\"41705472\"] \n  36 -> 40 [size =\"41705472\"]\n  37 [size=\"66882560\", alpha=\"0.15\", expect_size=\"26753024\"] \n  37 -> 39 [size =\"26753024\"]\n  37 -> 40 [size =\"26753024\"]\n  38 [size=\"21882880\", alpha=\"0.06\", expect_size=\"8753152\"] \n  38 -> 40 [size =\"8753152\"]\n  39 [size=\"27737600\", alpha=\"0.12\", expect_size=\"11095040\"] \n  40 [size=\"71528960\", alpha=\"0.15\", expect_size=\"28611584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66551808\", alpha=\"0.17\", expect_size=\"33275904\"] \n  1 -> 2 [size =\"33275904\"]\n  2 [size=\"23869440\", alpha=\"0.13\", expect_size=\"11934720\"] \n  2 -> 3 [size =\"11934720\"]\n  3 [size=\"97310720\", alpha=\"0.17\", expect_size=\"48655360\"] \n  3 -> 4 [size =\"48655360\"]\n  4 [size=\"58507264\", alpha=\"0.03\", expect_size=\"29253632\"] \n  4 -> 5 [size =\"29253632\"]\n  5 [size=\"54947840\", alpha=\"0.12\", expect_size=\"27473920\"] \n  5 -> 6 [size =\"27473920\"]\n  6 [size=\"20656128\", alpha=\"0.14\", expect_size=\"10328064\"] \n  6 -> 7 [size =\"10328064\"]\n  7 [size=\"95924224\", alpha=\"0.02\", expect_size=\"47962112\"] \n  7 -> 8 [size =\"47962112\"]\n  8 [size=\"22644736\", alpha=\"0.07\", expect_size=\"11322368\"] \n  8 -> 9 [size =\"11322368\"]\n  9 [size=\"90898432\", alpha=\"0.15\", expect_size=\"45449216\"] \n  9 -> 10 [size =\"45449216\"]\n  10 [size=\"25780224\", alpha=\"0.06\", expect_size=\"12890112\"] \n  10 -> 11 [size =\"12890112\"]\n  11 [size=\"65349632\", alpha=\"0.04\", expect_size=\"32674816\"] \n  11 -> 12 [size =\"32674816\"]\n  12 [size=\"52905984\", alpha=\"0.15\", expect_size=\"26452992\"] \n  12 -> 13 [size =\"26452992\"]\n  13 [size=\"18690048\", alpha=\"0.14\", expect_size=\"9345024\"] \n  13 -> 14 [size =\"9345024\"]\n  14 [size=\"98023424\", alpha=\"0.01\", expect_size=\"49011712\"] \n  14 -> 15 [size =\"49011712\"]\n  15 [size=\"19394560\", alpha=\"0.03\", expect_size=\"9697280\"] \n  15 -> 16 [size =\"9697280\"]\n  16 [size=\"77473792\", alpha=\"0.11\", expect_size=\"38736896\"] \n  16 -> 17 [size =\"38736896\"]\n  17 [size=\"48644096\", alpha=\"0.15\", expect_size=\"24322048\"] \n  17 -> 18 [size =\"24322048\"]\n  18 [size=\"56211456\", alpha=\"0.03\", expect_size=\"28105728\"] \n  18 -> 19 [size =\"28105728\"]\n  19 [size=\"91287552\", alpha=\"0.10\", expect_size=\"45643776\"] \n  19 -> 20 [size =\"45643776\"]\n  20 [size=\"69502976\", alpha=\"0.08\", expect_size=\"34751488\"] \n  20 -> 21 [size =\"34751488\"]\n  21 [size=\"96641024\", alpha=\"0.17\", expect_size=\"48320512\"] \n  21 -> 22 [size =\"48320512\"]\n  22 [size=\"20662272\", alpha=\"0.10\", expect_size=\"10331136\"] \n  22 -> 23 [size =\"10331136\"]\n  23 [size=\"92575744\", alpha=\"0.01\", expect_size=\"46287872\"] \n  23 -> 24 [size =\"46287872\"]\n  24 [size=\"63477760\", alpha=\"0.02\", expect_size=\"31738880\"] \n  24 -> 25 [size =\"31738880\"]\n  25 [size=\"70510592\", alpha=\"0.12\", expect_size=\"35255296\"] \n  25 -> 26 [size =\"35255296\"]\n  26 [size=\"85678080\", alpha=\"0.05\", expect_size=\"42839040\"] \n  26 -> 27 [size =\"42839040\"]\n  27 [size=\"43737088\", alpha=\"0.16\", expect_size=\"21868544\"] \n  27 -> 28 [size =\"21868544\"]\n  28 [size=\"21012480\", alpha=\"0.09\", expect_size=\"10506240\"] \n  28 -> 29 [size =\"10506240\"]\n  29 [size=\"34070528\", alpha=\"0.19\", expect_size=\"17035264\"] \n  29 -> 30 [size =\"17035264\"]\n  30 [size=\"81373184\", alpha=\"0.13\", expect_size=\"40686592\"] \n  30 -> 31 [size =\"40686592\"]\n  31 [size=\"23760896\", alpha=\"0.18\", expect_size=\"11880448\"] \n  31 -> 32 [size =\"11880448\"]\n  32 [size=\"11671552\", alpha=\"0.13\", expect_size=\"5835776\"] \n  32 -> 33 [size =\"5835776\"]\n  33 [size=\"58492928\", alpha=\"0.08\", expect_size=\"29246464\"] \n  33 -> 34 [size =\"29246464\"]\n  34 [size=\"62306304\", alpha=\"0.03\", expect_size=\"31153152\"] \n  34 -> 35 [size =\"31153152\"]\n  35 [size=\"71131136\", alpha=\"0.19\", expect_size=\"35565568\"] \n  35 -> 36 [size =\"35565568\"]\n  36 [size=\"35061760\", alpha=\"0.10\", expect_size=\"17530880\"] \n  36 -> 37 [size =\"17530880\"]\n  37 [size=\"58642432\", alpha=\"0.09\", expect_size=\"29321216\"] \n  37 -> 38 [size =\"29321216\"]\n  38 [size=\"38565888\", alpha=\"0.17\", expect_size=\"19282944\"] \n  38 -> 39 [size =\"19282944\"]\n  39 [size=\"81364992\", alpha=\"0.03\", expect_size=\"40682496\"] \n  39 -> 40 [size =\"40682496\"]\n  40 [size=\"78710784\", alpha=\"0.01\", expect_size=\"39355392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83614720\", alpha=\"0.19\", expect_size=\"33445888\"] \n  1 -> 3 [size =\"33445888\"]\n  1 -> 4 [size =\"33445888\"]\n  2 [size=\"117204480\", alpha=\"0.12\", expect_size=\"46881792\"] \n  3 [size=\"50375680\", alpha=\"0.19\", expect_size=\"20150272\"] \n  3 -> 6 [size =\"20150272\"]\n  3 -> 7 [size =\"20150272\"]\n  4 [size=\"81697280\", alpha=\"0.02\", expect_size=\"32678912\"] \n  4 -> 5 [size =\"32678912\"]\n  4 -> 6 [size =\"32678912\"]\n  4 -> 7 [size =\"32678912\"]\n  5 [size=\"81113600\", alpha=\"0.18\", expect_size=\"32445440\"] \n  5 -> 8 [size =\"32445440\"]\n  5 -> 10 [size =\"32445440\"]\n  6 [size=\"89625600\", alpha=\"0.14\", expect_size=\"35850240\"] \n  6 -> 8 [size =\"35850240\"]\n  6 -> 9 [size =\"35850240\"]\n  7 [size=\"71659520\", alpha=\"0.00\", expect_size=\"28663808\"] \n  7 -> 9 [size =\"28663808\"]\n  7 -> 10 [size =\"28663808\"]\n  8 [size=\"57059840\", alpha=\"0.16\", expect_size=\"22823936\"] \n  8 -> 13 [size =\"22823936\"]\n  9 [size=\"118492160\", alpha=\"0.03\", expect_size=\"47396864\"] \n  9 -> 11 [size =\"47396864\"]\n  10 [size=\"55170560\", alpha=\"0.02\", expect_size=\"22068224\"] \n  10 -> 12 [size =\"22068224\"]\n  11 [size=\"26734080\", alpha=\"0.11\", expect_size=\"10693632\"] \n  11 -> 14 [size =\"10693632\"]\n  12 [size=\"21232640\", alpha=\"0.00\", expect_size=\"8493056\"] \n  12 -> 14 [size =\"8493056\"]\n  12 -> 15 [size =\"8493056\"]\n  13 [size=\"93888000\", alpha=\"0.07\", expect_size=\"37555200\"] \n  14 [size=\"89996800\", alpha=\"0.04\", expect_size=\"35998720\"] \n  14 -> 17 [size =\"35998720\"]\n  15 [size=\"100006400\", alpha=\"0.00\", expect_size=\"40002560\"] \n  15 -> 16 [size =\"40002560\"]\n  15 -> 18 [size =\"40002560\"]\n  16 [size=\"86400000\", alpha=\"0.04\", expect_size=\"34560000\"] \n  16 -> 19 [size =\"34560000\"]\n  16 -> 20 [size =\"34560000\"]\n  16 -> 21 [size =\"34560000\"]\n  17 [size=\"51351040\", alpha=\"0.03\", expect_size=\"20540416\"] \n  18 [size=\"52997120\", alpha=\"0.15\", expect_size=\"21198848\"] \n  18 -> 20 [size =\"21198848\"]\n  19 [size=\"30080000\", alpha=\"0.13\", expect_size=\"12032000\"] \n  19 -> 22 [size =\"12032000\"]\n  20 [size=\"48271360\", alpha=\"0.13\", expect_size=\"19308544\"] \n  20 -> 23 [size =\"19308544\"]\n  20 -> 24 [size =\"19308544\"]\n  21 [size=\"60759040\", alpha=\"0.04\", expect_size=\"24303616\"] \n  21 -> 22 [size =\"24303616\"]\n  21 -> 23 [size =\"24303616\"]\n  22 [size=\"127144960\", alpha=\"0.14\", expect_size=\"50857984\"] \n  22 -> 25 [size =\"50857984\"]\n  22 -> 26 [size =\"50857984\"]\n  23 [size=\"127505920\", alpha=\"0.09\", expect_size=\"51002368\"] \n  24 [size=\"49372160\", alpha=\"0.17\", expect_size=\"19748864\"] \n  24 -> 25 [size =\"19748864\"]\n  24 -> 26 [size =\"19748864\"]\n  24 -> 27 [size =\"19748864\"]\n  25 [size=\"70661120\", alpha=\"0.15\", expect_size=\"28264448\"] \n  26 [size=\"73454080\", alpha=\"0.07\", expect_size=\"29381632\"] \n  26 -> 29 [size =\"29381632\"]\n  27 [size=\"95221760\", alpha=\"0.09\", expect_size=\"38088704\"] \n  27 -> 28 [size =\"38088704\"]\n  27 -> 29 [size =\"38088704\"]\n  28 [size=\"110136320\", alpha=\"0.18\", expect_size=\"44054528\"] \n  28 -> 31 [size =\"44054528\"]\n  29 [size=\"78666240\", alpha=\"0.05\", expect_size=\"31466496\"] \n  29 -> 30 [size =\"31466496\"]\n  30 [size=\"36206080\", alpha=\"0.19\", expect_size=\"14482432\"] \n  30 -> 32 [size =\"14482432\"]\n  31 [size=\"110146560\", alpha=\"0.16\", expect_size=\"44058624\"] \n  31 -> 32 [size =\"44058624\"]\n  31 -> 33 [size =\"44058624\"]\n  32 [size=\"17108480\", alpha=\"0.14\", expect_size=\"6843392\"] \n  32 -> 34 [size =\"6843392\"]\n  33 [size=\"97113600\", alpha=\"0.05\", expect_size=\"38845440\"] \n  33 -> 34 [size =\"38845440\"]\n  33 -> 35 [size =\"38845440\"]\n  34 [size=\"33541120\", alpha=\"0.10\", expect_size=\"13416448\"] \n  34 -> 36 [size =\"13416448\"]\n  34 -> 37 [size =\"13416448\"]\n  34 -> 38 [size =\"13416448\"]\n  35 [size=\"130913280\", alpha=\"0.09\", expect_size=\"52365312\"] \n  35 -> 36 [size =\"52365312\"]\n  35 -> 37 [size =\"52365312\"]\n  36 [size=\"103342080\", alpha=\"0.01\", expect_size=\"41336832\"] \n  36 -> 39 [size =\"41336832\"]\n  36 -> 40 [size =\"41336832\"]\n  37 [size=\"27345920\", alpha=\"0.19\", expect_size=\"10938368\"] \n  38 [size=\"79447040\", alpha=\"0.04\", expect_size=\"31778816\"] \n  39 [size=\"67663360\", alpha=\"0.12\", expect_size=\"27065344\"] \n  40 [size=\"97387520\", alpha=\"0.06\", expect_size=\"38955008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71782400\", alpha=\"0.03\", expect_size=\"21534720\"] \n  1 -> 4 [size =\"21534720\"]\n  1 -> 8 [size =\"21534720\"]\n  1 -> 10 [size =\"21534720\"]\n  2 [size=\"115042987\", alpha=\"0.01\", expect_size=\"34512896\"] \n  2 -> 5 [size =\"34512896\"]\n  2 -> 9 [size =\"34512896\"]\n  3 [size=\"148821333\", alpha=\"0.11\", expect_size=\"44646400\"] \n  3 -> 5 [size =\"44646400\"]\n  3 -> 6 [size =\"44646400\"]\n  3 -> 7 [size =\"44646400\"]\n  3 -> 8 [size =\"44646400\"]\n  4 [size=\"132594347\", alpha=\"0.09\", expect_size=\"39778304\"] \n  4 -> 13 [size =\"39778304\"]\n  5 [size=\"35437227\", alpha=\"0.04\", expect_size=\"10631168\"] \n  5 -> 11 [size =\"10631168\"]\n  5 -> 13 [size =\"10631168\"]\n  5 -> 15 [size =\"10631168\"]\n  6 [size=\"59060907\", alpha=\"0.19\", expect_size=\"17718272\"] \n  6 -> 12 [size =\"17718272\"]\n  6 -> 13 [size =\"17718272\"]\n  6 -> 15 [size =\"17718272\"]\n  7 [size=\"118261760\", alpha=\"0.08\", expect_size=\"35478528\"] \n  7 -> 11 [size =\"35478528\"]\n  7 -> 12 [size =\"35478528\"]\n  7 -> 13 [size =\"35478528\"]\n  7 -> 15 [size =\"35478528\"]\n  8 [size=\"50087253\", alpha=\"0.04\", expect_size=\"15026176\"] \n  8 -> 12 [size =\"15026176\"]\n  8 -> 14 [size =\"15026176\"]\n  8 -> 15 [size =\"15026176\"]\n  8 -> 15 [size =\"15026176\"]\n  8 -> 16 [size =\"15026176\"]\n  9 [size=\"147107840\", alpha=\"0.04\", expect_size=\"44132352\"] \n  9 -> 13 [size =\"44132352\"]\n  10 [size=\"85889707\", alpha=\"0.17\", expect_size=\"25766912\"] \n  10 -> 12 [size =\"25766912\"]\n  10 -> 16 [size =\"25766912\"]\n  11 [size=\"71301120\", alpha=\"0.14\", expect_size=\"21390336\"] \n  11 -> 17 [size =\"21390336\"]\n  12 [size=\"98293760\", alpha=\"0.20\", expect_size=\"29488128\"] \n  12 -> 19 [size =\"29488128\"]\n  13 [size=\"105567573\", alpha=\"0.02\", expect_size=\"31670272\"] \n  13 -> 17 [size =\"31670272\"]\n  13 -> 18 [size =\"31670272\"]\n  14 [size=\"34573653\", alpha=\"0.06\", expect_size=\"10372096\"] \n  14 -> 17 [size =\"10372096\"]\n  15 [size=\"101778773\", alpha=\"0.19\", expect_size=\"30533632\"] \n  15 -> 17 [size =\"30533632\"]\n  16 [size=\"131778560\", alpha=\"0.06\", expect_size=\"39533568\"] \n  16 -> 18 [size =\"39533568\"]\n  17 [size=\"124938240\", alpha=\"0.02\", expect_size=\"37481472\"] \n  17 -> 21 [size =\"37481472\"]\n  17 -> 22 [size =\"37481472\"]\n  18 [size=\"32512000\", alpha=\"0.18\", expect_size=\"9753600\"] \n  18 -> 21 [size =\"9753600\"]\n  19 [size=\"60293120\", alpha=\"0.16\", expect_size=\"18087936\"] \n  19 -> 20 [size =\"18087936\"]\n  20 [size=\"93416107\", alpha=\"0.15\", expect_size=\"28024832\"] \n  20 -> 23 [size =\"28024832\"]\n  20 -> 27 [size =\"28024832\"]\n  20 -> 28 [size =\"28024832\"]\n  21 [size=\"68208640\", alpha=\"0.01\", expect_size=\"20462592\"] \n  21 -> 24 [size =\"20462592\"]\n  21 -> 25 [size =\"20462592\"]\n  22 [size=\"20251307\", alpha=\"0.20\", expect_size=\"6075392\"] \n  22 -> 23 [size =\"6075392\"]\n  22 -> 24 [size =\"6075392\"]\n  22 -> 26 [size =\"6075392\"]\n  22 -> 27 [size =\"6075392\"]\n  22 -> 28 [size =\"6075392\"]\n  23 [size=\"18216960\", alpha=\"0.15\", expect_size=\"5465088\"] \n  24 [size=\"31238827\", alpha=\"0.05\", expect_size=\"9371648\"] \n  25 [size=\"77574827\", alpha=\"0.18\", expect_size=\"23272448\"] \n  25 -> 30 [size =\"23272448\"]\n  25 -> 31 [size =\"23272448\"]\n  26 [size=\"70290773\", alpha=\"0.15\", expect_size=\"21087232\"] \n  26 -> 29 [size =\"21087232\"]\n  26 -> 31 [size =\"21087232\"]\n  27 [size=\"117469867\", alpha=\"0.06\", expect_size=\"35240960\"] \n  27 -> 29 [size =\"35240960\"]\n  28 [size=\"133795840\", alpha=\"0.00\", expect_size=\"40138752\"] \n  28 -> 31 [size =\"40138752\"]\n  29 [size=\"119302827\", alpha=\"0.11\", expect_size=\"35790848\"] \n  29 -> 32 [size =\"35790848\"]\n  29 -> 33 [size =\"35790848\"]\n  29 -> 35 [size =\"35790848\"]\n  29 -> 36 [size =\"35790848\"]\n  29 -> 37 [size =\"35790848\"]\n  30 [size=\"84524373\", alpha=\"0.11\", expect_size=\"25357312\"] \n  30 -> 32 [size =\"25357312\"]\n  30 -> 37 [size =\"25357312\"]\n  31 [size=\"44752213\", alpha=\"0.17\", expect_size=\"13425664\"] \n  31 -> 34 [size =\"13425664\"]\n  31 -> 36 [size =\"13425664\"]\n  32 [size=\"54302720\", alpha=\"0.14\", expect_size=\"16290816\"] \n  32 -> 39 [size =\"16290816\"]\n  33 [size=\"53452800\", alpha=\"0.02\", expect_size=\"16035840\"] \n  33 -> 39 [size =\"16035840\"]\n  34 [size=\"173554347\", alpha=\"0.13\", expect_size=\"52066304\"] \n  34 -> 38 [size =\"52066304\"]\n  34 -> 39 [size =\"52066304\"]\n  35 [size=\"57859413\", alpha=\"0.14\", expect_size=\"17357824\"] \n  35 -> 38 [size =\"17357824\"]\n  35 -> 40 [size =\"17357824\"]\n  36 [size=\"38905173\", alpha=\"0.09\", expect_size=\"11671552\"] \n  37 [size=\"158279680\", alpha=\"0.18\", expect_size=\"47483904\"] \n  38 [size=\"44909227\", alpha=\"0.09\", expect_size=\"13472768\"] \n  39 [size=\"45974187\", alpha=\"0.06\", expect_size=\"13792256\"] \n  40 [size=\"133826560\", alpha=\"0.12\", expect_size=\"40147968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131570347\", alpha=\"0.19\", expect_size=\"39471104\"] \n  2 [size=\"60955307\", alpha=\"0.01\", expect_size=\"18286592\"] \n  2 -> 4 [size =\"18286592\"]\n  2 -> 5 [size =\"18286592\"]\n  3 [size=\"34556587\", alpha=\"0.12\", expect_size=\"10366976\"] \n  3 -> 5 [size =\"10366976\"]\n  4 [size=\"59439787\", alpha=\"0.04\", expect_size=\"17831936\"] \n  4 -> 6 [size =\"17831936\"]\n  4 -> 7 [size =\"17831936\"]\n  4 -> 8 [size =\"17831936\"]\n  5 [size=\"95030613\", alpha=\"0.19\", expect_size=\"28509184\"] \n  5 -> 6 [size =\"28509184\"]\n  5 -> 7 [size =\"28509184\"]\n  5 -> 8 [size =\"28509184\"]\n  6 [size=\"29446827\", alpha=\"0.11\", expect_size=\"8834048\"] \n  6 -> 9 [size =\"8834048\"]\n  7 [size=\"99846827\", alpha=\"0.11\", expect_size=\"29954048\"] \n  7 -> 9 [size =\"29954048\"]\n  8 [size=\"62518613\", alpha=\"0.06\", expect_size=\"18755584\"] \n  8 -> 10 [size =\"18755584\"]\n  9 [size=\"21056853\", alpha=\"0.01\", expect_size=\"6317056\"] \n  9 -> 11 [size =\"6317056\"]\n  9 -> 12 [size =\"6317056\"]\n  9 -> 13 [size =\"6317056\"]\n  10 [size=\"154453333\", alpha=\"0.06\", expect_size=\"46336000\"] \n  10 -> 12 [size =\"46336000\"]\n  10 -> 13 [size =\"46336000\"]\n  11 [size=\"27750400\", alpha=\"0.11\", expect_size=\"8325120\"] \n  11 -> 14 [size =\"8325120\"]\n  11 -> 15 [size =\"8325120\"]\n  12 [size=\"23237973\", alpha=\"0.20\", expect_size=\"6971392\"] \n  12 -> 14 [size =\"6971392\"]\n  12 -> 15 [size =\"6971392\"]\n  13 [size=\"33563307\", alpha=\"0.04\", expect_size=\"10068992\"] \n  13 -> 14 [size =\"10068992\"]\n  14 [size=\"126242133\", alpha=\"0.13\", expect_size=\"37872640\"] \n  14 -> 17 [size =\"37872640\"]\n  14 -> 18 [size =\"37872640\"]\n  15 [size=\"154583040\", alpha=\"0.04\", expect_size=\"46374912\"] \n  15 -> 16 [size =\"46374912\"]\n  15 -> 18 [size =\"46374912\"]\n  16 [size=\"145930240\", alpha=\"0.18\", expect_size=\"43779072\"] \n  16 -> 19 [size =\"43779072\"]\n  16 -> 21 [size =\"43779072\"]\n  17 [size=\"74728107\", alpha=\"0.12\", expect_size=\"22418432\"] \n  17 -> 19 [size =\"22418432\"]\n  17 -> 20 [size =\"22418432\"]\n  17 -> 21 [size =\"22418432\"]\n  18 [size=\"164788907\", alpha=\"0.01\", expect_size=\"49436672\"] \n  19 [size=\"52988587\", alpha=\"0.17\", expect_size=\"15896576\"] \n  19 -> 22 [size =\"15896576\"]\n  19 -> 23 [size =\"15896576\"]\n  19 -> 24 [size =\"15896576\"]\n  20 [size=\"62057813\", alpha=\"0.19\", expect_size=\"18617344\"] \n  20 -> 22 [size =\"18617344\"]\n  20 -> 24 [size =\"18617344\"]\n  21 [size=\"110080000\", alpha=\"0.16\", expect_size=\"33024000\"] \n  21 -> 22 [size =\"33024000\"]\n  21 -> 24 [size =\"33024000\"]\n  22 [size=\"36416853\", alpha=\"0.17\", expect_size=\"10925056\"] \n  22 -> 25 [size =\"10925056\"]\n  22 -> 26 [size =\"10925056\"]\n  22 -> 27 [size =\"10925056\"]\n  23 [size=\"35867307\", alpha=\"0.01\", expect_size=\"10760192\"] \n  23 -> 25 [size =\"10760192\"]\n  24 [size=\"64273067\", alpha=\"0.11\", expect_size=\"19281920\"] \n  24 -> 27 [size =\"19281920\"]\n  25 [size=\"169943040\", alpha=\"0.10\", expect_size=\"50982912\"] \n  25 -> 28 [size =\"50982912\"]\n  25 -> 29 [size =\"50982912\"]\n  26 [size=\"40506027\", alpha=\"0.11\", expect_size=\"12151808\"] \n  26 -> 29 [size =\"12151808\"]\n  27 [size=\"26931200\", alpha=\"0.02\", expect_size=\"8079360\"] \n  27 -> 28 [size =\"8079360\"]\n  27 -> 29 [size =\"8079360\"]\n  28 [size=\"125030400\", alpha=\"0.19\", expect_size=\"37509120\"] \n  28 -> 30 [size =\"37509120\"]\n  28 -> 31 [size =\"37509120\"]\n  28 -> 32 [size =\"37509120\"]\n  29 [size=\"131966293\", alpha=\"0.16\", expect_size=\"39589888\"] \n  29 -> 30 [size =\"39589888\"]\n  29 -> 32 [size =\"39589888\"]\n  30 [size=\"111810560\", alpha=\"0.11\", expect_size=\"33543168\"] \n  30 -> 33 [size =\"33543168\"]\n  30 -> 34 [size =\"33543168\"]\n  30 -> 35 [size =\"33543168\"]\n  31 [size=\"105905493\", alpha=\"0.07\", expect_size=\"31771648\"] \n  31 -> 34 [size =\"31771648\"]\n  31 -> 35 [size =\"31771648\"]\n  32 [size=\"71048533\", alpha=\"0.04\", expect_size=\"21314560\"] \n  32 -> 33 [size =\"21314560\"]\n  32 -> 34 [size =\"21314560\"]\n  32 -> 35 [size =\"21314560\"]\n  33 [size=\"50732373\", alpha=\"0.03\", expect_size=\"15219712\"] \n  33 -> 36 [size =\"15219712\"]\n  33 -> 37 [size =\"15219712\"]\n  34 [size=\"62033920\", alpha=\"0.16\", expect_size=\"18610176\"] \n  34 -> 37 [size =\"18610176\"]\n  35 [size=\"146916693\", alpha=\"0.06\", expect_size=\"44075008\"] \n  35 -> 36 [size =\"44075008\"]\n  35 -> 37 [size =\"44075008\"]\n  36 [size=\"68365653\", alpha=\"0.12\", expect_size=\"20509696\"] \n  36 -> 38 [size =\"20509696\"]\n  36 -> 39 [size =\"20509696\"]\n  37 [size=\"152924160\", alpha=\"0.06\", expect_size=\"45877248\"] \n  38 [size=\"168393387\", alpha=\"0.19\", expect_size=\"50518016\"] \n  38 -> 40 [size =\"50518016\"]\n  39 [size=\"159822507\", alpha=\"0.16\", expect_size=\"47946752\"] \n  39 -> 40 [size =\"47946752\"]\n  40 [size=\"130792107\", alpha=\"0.18\", expect_size=\"39237632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112148480\", alpha=\"0.10\", expect_size=\"44859392\"] \n  1 -> 13 [size =\"44859392\"]\n  1 -> 21 [size =\"44859392\"]\n  1 -> 22 [size =\"44859392\"]\n  1 -> 24 [size =\"44859392\"]\n  1 -> 25 [size =\"44859392\"]\n  2 [size=\"107274240\", alpha=\"0.18\", expect_size=\"42909696\"] \n  2 -> 22 [size =\"42909696\"]\n  2 -> 24 [size =\"42909696\"]\n  2 -> 25 [size =\"42909696\"]\n  3 [size=\"122076160\", alpha=\"0.03\", expect_size=\"48830464\"] \n  3 -> 16 [size =\"48830464\"]\n  3 -> 18 [size =\"48830464\"]\n  4 [size=\"55984640\", alpha=\"0.12\", expect_size=\"22393856\"] \n  4 -> 16 [size =\"22393856\"]\n  4 -> 17 [size =\"22393856\"]\n  4 -> 18 [size =\"22393856\"]\n  4 -> 25 [size =\"22393856\"]\n  5 [size=\"23175680\", alpha=\"0.07\", expect_size=\"9270272\"] \n  5 -> 14 [size =\"9270272\"]\n  5 -> 15 [size =\"9270272\"]\n  5 -> 18 [size =\"9270272\"]\n  5 -> 24 [size =\"9270272\"]\n  6 [size=\"24496640\", alpha=\"0.03\", expect_size=\"9798656\"] \n  6 -> 15 [size =\"9798656\"]\n  6 -> 20 [size =\"9798656\"]\n  7 [size=\"14323200\", alpha=\"0.01\", expect_size=\"5729280\"] \n  7 -> 13 [size =\"5729280\"]\n  7 -> 15 [size =\"5729280\"]\n  7 -> 19 [size =\"5729280\"]\n  7 -> 20 [size =\"5729280\"]\n  8 [size=\"98181120\", alpha=\"0.01\", expect_size=\"39272448\"] \n  8 -> 13 [size =\"39272448\"]\n  8 -> 20 [size =\"39272448\"]\n  8 -> 21 [size =\"39272448\"]\n  9 [size=\"33587200\", alpha=\"0.04\", expect_size=\"13434880\"] \n  9 -> 16 [size =\"13434880\"]\n  9 -> 18 [size =\"13434880\"]\n  9 -> 24 [size =\"13434880\"]\n  9 -> 25 [size =\"13434880\"]\n  10 [size=\"68920320\", alpha=\"0.08\", expect_size=\"27568128\"] \n  10 -> 20 [size =\"27568128\"]\n  11 [size=\"20272640\", alpha=\"0.17\", expect_size=\"8109056\"] \n  11 -> 19 [size =\"8109056\"]\n  11 -> 23 [size =\"8109056\"]\n  11 -> 24 [size =\"8109056\"]\n  12 [size=\"77437440\", alpha=\"0.14\", expect_size=\"30974976\"] \n  12 -> 18 [size =\"30974976\"]\n  12 -> 25 [size =\"30974976\"]\n  13 [size=\"66319360\", alpha=\"0.05\", expect_size=\"26527744\"] \n  13 -> 26 [size =\"26527744\"]\n  13 -> 31 [size =\"26527744\"]\n  13 -> 32 [size =\"26527744\"]\n  13 -> 37 [size =\"26527744\"]\n  14 [size=\"84116480\", alpha=\"0.10\", expect_size=\"33646592\"] \n  14 -> 32 [size =\"33646592\"]\n  14 -> 34 [size =\"33646592\"]\n  14 -> 35 [size =\"33646592\"]\n  15 [size=\"38589440\", alpha=\"0.15\", expect_size=\"15435776\"] \n  15 -> 26 [size =\"15435776\"]\n  15 -> 27 [size =\"15435776\"]\n  15 -> 33 [size =\"15435776\"]\n  15 -> 35 [size =\"15435776\"]\n  15 -> 36 [size =\"15435776\"]\n  16 [size=\"80860160\", alpha=\"0.07\", expect_size=\"32344064\"] \n  16 -> 26 [size =\"32344064\"]\n  17 [size=\"101498880\", alpha=\"0.06\", expect_size=\"40599552\"] \n  17 -> 27 [size =\"40599552\"]\n  17 -> 29 [size =\"40599552\"]\n  17 -> 30 [size =\"40599552\"]\n  17 -> 32 [size =\"40599552\"]\n  17 -> 34 [size =\"40599552\"]\n  17 -> 35 [size =\"40599552\"]\n  17 -> 36 [size =\"40599552\"]\n  17 -> 37 [size =\"40599552\"]\n  18 [size=\"107340800\", alpha=\"0.14\", expect_size=\"42936320\"] \n  18 -> 26 [size =\"42936320\"]\n  18 -> 28 [size =\"42936320\"]\n  18 -> 29 [size =\"42936320\"]\n  18 -> 30 [size =\"42936320\"]\n  18 -> 31 [size =\"42936320\"]\n  18 -> 34 [size =\"42936320\"]\n  19 [size=\"115886080\", alpha=\"0.06\", expect_size=\"46354432\"] \n  19 -> 26 [size =\"46354432\"]\n  19 -> 27 [size =\"46354432\"]\n  19 -> 30 [size =\"46354432\"]\n  19 -> 32 [size =\"46354432\"]\n  19 -> 33 [size =\"46354432\"]\n  19 -> 37 [size =\"46354432\"]\n  20 [size=\"18964480\", alpha=\"0.10\", expect_size=\"7585792\"] \n  20 -> 27 [size =\"7585792\"]\n  20 -> 31 [size =\"7585792\"]\n  20 -> 33 [size =\"7585792\"]\n  20 -> 34 [size =\"7585792\"]\n  20 -> 35 [size =\"7585792\"]\n  20 -> 37 [size =\"7585792\"]\n  21 [size=\"64488960\", alpha=\"0.10\", expect_size=\"25795584\"] \n  21 -> 33 [size =\"25795584\"]\n  22 [size=\"47098880\", alpha=\"0.07\", expect_size=\"18839552\"] \n  22 -> 28 [size =\"18839552\"]\n  22 -> 29 [size =\"18839552\"]\n  22 -> 30 [size =\"18839552\"]\n  22 -> 32 [size =\"18839552\"]\n  22 -> 34 [size =\"18839552\"]\n  23 [size=\"127280640\", alpha=\"0.02\", expect_size=\"50912256\"] \n  23 -> 28 [size =\"50912256\"]\n  23 -> 33 [size =\"50912256\"]\n  23 -> 36 [size =\"50912256\"]\n  24 [size=\"41303040\", alpha=\"0.04\", expect_size=\"16521216\"] \n  24 -> 26 [size =\"16521216\"]\n  24 -> 28 [size =\"16521216\"]\n  24 -> 29 [size =\"16521216\"]\n  24 -> 32 [size =\"16521216\"]\n  24 -> 34 [size =\"16521216\"]\n  24 -> 35 [size =\"16521216\"]\n  24 -> 37 [size =\"16521216\"]\n  25 [size=\"100387840\", alpha=\"0.08\", expect_size=\"40155136\"] \n  25 -> 31 [size =\"40155136\"]\n  25 -> 33 [size =\"40155136\"]\n  25 -> 35 [size =\"40155136\"]\n  26 [size=\"71367680\", alpha=\"0.14\", expect_size=\"28547072\"] \n  27 [size=\"113968640\", alpha=\"0.20\", expect_size=\"45587456\"] \n  27 -> 38 [size =\"45587456\"]\n  28 [size=\"29529600\", alpha=\"0.00\", expect_size=\"11811840\"] \n  29 [size=\"111001600\", alpha=\"0.04\", expect_size=\"44400640\"] \n  29 -> 38 [size =\"44400640\"]\n  30 [size=\"30540800\", alpha=\"0.17\", expect_size=\"12216320\"] \n  30 -> 38 [size =\"12216320\"]\n  30 -> 39 [size =\"12216320\"]\n  31 [size=\"89658880\", alpha=\"0.12\", expect_size=\"35863552\"] \n  31 -> 38 [size =\"35863552\"]\n  32 [size=\"33505280\", alpha=\"0.17\", expect_size=\"13402112\"] \n  33 [size=\"74214400\", alpha=\"0.12\", expect_size=\"29685760\"] \n  34 [size=\"84825600\", alpha=\"0.19\", expect_size=\"33930240\"] \n  35 [size=\"108218880\", alpha=\"0.09\", expect_size=\"43287552\"] \n  36 [size=\"36500480\", alpha=\"0.12\", expect_size=\"14600192\"] \n  36 -> 40 [size =\"14600192\"]\n  37 [size=\"116986880\", alpha=\"0.09\", expect_size=\"46794752\"] \n  37 -> 38 [size =\"46794752\"]\n  37 -> 39 [size =\"46794752\"]\n  38 [size=\"114969600\", alpha=\"0.02\", expect_size=\"45987840\"] \n  39 [size=\"115520000\", alpha=\"0.13\", expect_size=\"46208000\"] \n  40 [size=\"21155840\", alpha=\"0.05\", expect_size=\"8462336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128645120\", alpha=\"0.14\", expect_size=\"38593536\"] \n  1 -> 10 [size =\"38593536\"]\n  1 -> 14 [size =\"38593536\"]\n  1 -> 20 [size =\"38593536\"]\n  1 -> 21 [size =\"38593536\"]\n  2 [size=\"156992853\", alpha=\"0.01\", expect_size=\"47097856\"] \n  2 -> 10 [size =\"47097856\"]\n  2 -> 12 [size =\"47097856\"]\n  2 -> 14 [size =\"47097856\"]\n  2 -> 16 [size =\"47097856\"]\n  2 -> 18 [size =\"47097856\"]\n  3 [size=\"165457920\", alpha=\"0.09\", expect_size=\"49637376\"] \n  3 -> 11 [size =\"49637376\"]\n  3 -> 12 [size =\"49637376\"]\n  3 -> 18 [size =\"49637376\"]\n  3 -> 21 [size =\"49637376\"]\n  4 [size=\"169175040\", alpha=\"0.01\", expect_size=\"50752512\"] \n  4 -> 10 [size =\"50752512\"]\n  4 -> 12 [size =\"50752512\"]\n  4 -> 18 [size =\"50752512\"]\n  4 -> 21 [size =\"50752512\"]\n  5 [size=\"87493973\", alpha=\"0.05\", expect_size=\"26248192\"] \n  5 -> 10 [size =\"26248192\"]\n  5 -> 12 [size =\"26248192\"]\n  5 -> 14 [size =\"26248192\"]\n  5 -> 20 [size =\"26248192\"]\n  6 [size=\"161512107\", alpha=\"0.06\", expect_size=\"48453632\"] \n  6 -> 11 [size =\"48453632\"]\n  6 -> 19 [size =\"48453632\"]\n  7 [size=\"160638293\", alpha=\"0.10\", expect_size=\"48191488\"] \n  7 -> 13 [size =\"48191488\"]\n  7 -> 16 [size =\"48191488\"]\n  7 -> 17 [size =\"48191488\"]\n  7 -> 19 [size =\"48191488\"]\n  8 [size=\"44608853\", alpha=\"0.09\", expect_size=\"13382656\"] \n  8 -> 11 [size =\"13382656\"]\n  8 -> 17 [size =\"13382656\"]\n  8 -> 19 [size =\"13382656\"]\n  9 [size=\"72454827\", alpha=\"0.18\", expect_size=\"21736448\"] \n  9 -> 10 [size =\"21736448\"]\n  9 -> 12 [size =\"21736448\"]\n  9 -> 15 [size =\"21736448\"]\n  9 -> 16 [size =\"21736448\"]\n  10 [size=\"74666667\", alpha=\"0.14\", expect_size=\"22400000\"] \n  10 -> 25 [size =\"22400000\"]\n  10 -> 28 [size =\"22400000\"]\n  10 -> 28 [size =\"22400000\"]\n  10 -> 30 [size =\"22400000\"]\n  11 [size=\"110090240\", alpha=\"0.13\", expect_size=\"33027072\"] \n  11 -> 23 [size =\"33027072\"]\n  11 -> 30 [size =\"33027072\"]\n  12 [size=\"63484587\", alpha=\"0.11\", expect_size=\"19045376\"] \n  12 -> 27 [size =\"19045376\"]\n  12 -> 30 [size =\"19045376\"]\n  12 -> 34 [size =\"19045376\"]\n  12 -> 35 [size =\"19045376\"]\n  13 [size=\"74769067\", alpha=\"0.10\", expect_size=\"22430720\"] \n  13 -> 22 [size =\"22430720\"]\n  13 -> 24 [size =\"22430720\"]\n  13 -> 32 [size =\"22430720\"]\n  13 -> 33 [size =\"22430720\"]\n  13 -> 34 [size =\"22430720\"]\n  13 -> 36 [size =\"22430720\"]\n  14 [size=\"145513813\", alpha=\"0.14\", expect_size=\"43654144\"] \n  14 -> 23 [size =\"43654144\"]\n  14 -> 26 [size =\"43654144\"]\n  14 -> 29 [size =\"43654144\"]\n  14 -> 30 [size =\"43654144\"]\n  14 -> 31 [size =\"43654144\"]\n  15 [size=\"150108160\", alpha=\"0.10\", expect_size=\"45032448\"] \n  15 -> 31 [size =\"45032448\"]\n  15 -> 34 [size =\"45032448\"]\n  15 -> 36 [size =\"45032448\"]\n  16 [size=\"30638080\", alpha=\"0.05\", expect_size=\"9191424\"] \n  16 -> 25 [size =\"9191424\"]\n  16 -> 30 [size =\"9191424\"]\n  16 -> 32 [size =\"9191424\"]\n  16 -> 34 [size =\"9191424\"]\n  17 [size=\"74492587\", alpha=\"0.08\", expect_size=\"22347776\"] \n  17 -> 26 [size =\"22347776\"]\n  17 -> 27 [size =\"22347776\"]\n  17 -> 34 [size =\"22347776\"]\n  17 -> 36 [size =\"22347776\"]\n  18 [size=\"153757013\", alpha=\"0.04\", expect_size=\"46127104\"] \n  18 -> 22 [size =\"46127104\"]\n  18 -> 25 [size =\"46127104\"]\n  18 -> 26 [size =\"46127104\"]\n  18 -> 27 [size =\"46127104\"]\n  18 -> 32 [size =\"46127104\"]\n  18 -> 35 [size =\"46127104\"]\n  19 [size=\"68597760\", alpha=\"0.10\", expect_size=\"20579328\"] \n  19 -> 22 [size =\"20579328\"]\n  19 -> 26 [size =\"20579328\"]\n  19 -> 27 [size =\"20579328\"]\n  19 -> 27 [size =\"20579328\"]\n  19 -> 28 [size =\"20579328\"]\n  19 -> 29 [size =\"20579328\"]\n  19 -> 31 [size =\"20579328\"]\n  19 -> 35 [size =\"20579328\"]\n  19 -> 36 [size =\"20579328\"]\n  20 [size=\"53739520\", alpha=\"0.02\", expect_size=\"16121856\"] \n  20 -> 22 [size =\"16121856\"]\n  20 -> 26 [size =\"16121856\"]\n  20 -> 27 [size =\"16121856\"]\n  20 -> 29 [size =\"16121856\"]\n  20 -> 31 [size =\"16121856\"]\n  20 -> 35 [size =\"16121856\"]\n  21 [size=\"166737920\", alpha=\"0.09\", expect_size=\"50021376\"] \n  21 -> 22 [size =\"50021376\"]\n  21 -> 23 [size =\"50021376\"]\n  21 -> 28 [size =\"50021376\"]\n  21 -> 29 [size =\"50021376\"]\n  21 -> 30 [size =\"50021376\"]\n  21 -> 31 [size =\"50021376\"]\n  21 -> 32 [size =\"50021376\"]\n  21 -> 34 [size =\"50021376\"]\n  21 -> 36 [size =\"50021376\"]\n  22 [size=\"108059307\", alpha=\"0.14\", expect_size=\"32417792\"] \n  22 -> 39 [size =\"32417792\"]\n  23 [size=\"39703893\", alpha=\"0.17\", expect_size=\"11911168\"] \n  23 -> 39 [size =\"11911168\"]\n  24 [size=\"115394560\", alpha=\"0.20\", expect_size=\"34618368\"] \n  24 -> 37 [size =\"34618368\"]\n  24 -> 38 [size =\"34618368\"]\n  24 -> 39 [size =\"34618368\"]\n  24 -> 40 [size =\"34618368\"]\n  25 [size=\"67396267\", alpha=\"0.12\", expect_size=\"20218880\"] \n  25 -> 38 [size =\"20218880\"]\n  26 [size=\"142486187\", alpha=\"0.02\", expect_size=\"42745856\"] \n  27 [size=\"21418667\", alpha=\"0.10\", expect_size=\"6425600\"] \n  27 -> 37 [size =\"6425600\"]\n  28 [size=\"83800747\", alpha=\"0.01\", expect_size=\"25140224\"] \n  28 -> 38 [size =\"25140224\"]\n  28 -> 39 [size =\"25140224\"]\n  29 [size=\"118954667\", alpha=\"0.20\", expect_size=\"35686400\"] \n  29 -> 38 [size =\"35686400\"]\n  29 -> 40 [size =\"35686400\"]\n  30 [size=\"37034667\", alpha=\"0.06\", expect_size=\"11110400\"] \n  31 [size=\"55336960\", alpha=\"0.03\", expect_size=\"16601088\"] \n  32 [size=\"127750827\", alpha=\"0.07\", expect_size=\"38325248\"] \n  32 -> 38 [size =\"38325248\"]\n  33 [size=\"79216640\", alpha=\"0.18\", expect_size=\"23764992\"] \n  33 -> 37 [size =\"23764992\"]\n  33 -> 38 [size =\"23764992\"]\n  34 [size=\"57719467\", alpha=\"0.05\", expect_size=\"17315840\"] \n  34 -> 38 [size =\"17315840\"]\n  34 -> 39 [size =\"17315840\"]\n  35 [size=\"57678507\", alpha=\"0.09\", expect_size=\"17303552\"] \n  36 [size=\"149111467\", alpha=\"0.14\", expect_size=\"44733440\"] \n  36 -> 37 [size =\"44733440\"]\n  37 [size=\"161488213\", alpha=\"0.07\", expect_size=\"48446464\"] \n  38 [size=\"80680960\", alpha=\"0.17\", expect_size=\"24204288\"] \n  39 [size=\"91108693\", alpha=\"0.14\", expect_size=\"27332608\"] \n  40 [size=\"90473813\", alpha=\"0.15\", expect_size=\"27142144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144790187\", alpha=\"0.03\", expect_size=\"43437056\"] \n  1 -> 3 [size =\"43437056\"]\n  1 -> 4 [size =\"43437056\"]\n  2 [size=\"134004053\", alpha=\"0.08\", expect_size=\"40201216\"] \n  2 -> 3 [size =\"40201216\"]\n  3 [size=\"146090667\", alpha=\"0.19\", expect_size=\"43827200\"] \n  3 -> 7 [size =\"43827200\"]\n  4 [size=\"117125120\", alpha=\"0.07\", expect_size=\"35137536\"] \n  4 -> 5 [size =\"35137536\"]\n  4 -> 6 [size =\"35137536\"]\n  4 -> 7 [size =\"35137536\"]\n  5 [size=\"23408640\", alpha=\"0.03\", expect_size=\"7022592\"] \n  5 -> 8 [size =\"7022592\"]\n  5 -> 9 [size =\"7022592\"]\n  6 [size=\"59832320\", alpha=\"0.01\", expect_size=\"17949696\"] \n  6 -> 8 [size =\"17949696\"]\n  6 -> 10 [size =\"17949696\"]\n  7 [size=\"38813013\", alpha=\"0.18\", expect_size=\"11643904\"] \n  7 -> 9 [size =\"11643904\"]\n  7 -> 10 [size =\"11643904\"]\n  8 [size=\"27299840\", alpha=\"0.19\", expect_size=\"8189952\"] \n  8 -> 12 [size =\"8189952\"]\n  9 [size=\"144066560\", alpha=\"0.14\", expect_size=\"43219968\"] \n  9 -> 11 [size =\"43219968\"]\n  10 [size=\"26716160\", alpha=\"0.18\", expect_size=\"8014848\"] \n  10 -> 11 [size =\"8014848\"]\n  10 -> 13 [size =\"8014848\"]\n  11 [size=\"97536000\", alpha=\"0.14\", expect_size=\"29260800\"] \n  11 -> 14 [size =\"29260800\"]\n  11 -> 15 [size =\"29260800\"]\n  11 -> 16 [size =\"29260800\"]\n  12 [size=\"117828267\", alpha=\"0.02\", expect_size=\"35348480\"] \n  12 -> 14 [size =\"35348480\"]\n  12 -> 15 [size =\"35348480\"]\n  12 -> 16 [size =\"35348480\"]\n  13 [size=\"21852160\", alpha=\"0.00\", expect_size=\"6555648\"] \n  13 -> 14 [size =\"6555648\"]\n  13 -> 15 [size =\"6555648\"]\n  13 -> 16 [size =\"6555648\"]\n  14 [size=\"173800107\", alpha=\"0.15\", expect_size=\"52140032\"] \n  14 -> 18 [size =\"52140032\"]\n  15 [size=\"72021333\", alpha=\"0.13\", expect_size=\"21606400\"] \n  15 -> 17 [size =\"21606400\"]\n  15 -> 18 [size =\"21606400\"]\n  15 -> 19 [size =\"21606400\"]\n  16 [size=\"94252373\", alpha=\"0.15\", expect_size=\"28275712\"] \n  16 -> 17 [size =\"28275712\"]\n  16 -> 18 [size =\"28275712\"]\n  17 [size=\"103676587\", alpha=\"0.08\", expect_size=\"31102976\"] \n  17 -> 20 [size =\"31102976\"]\n  17 -> 21 [size =\"31102976\"]\n  18 [size=\"89593173\", alpha=\"0.11\", expect_size=\"26877952\"] \n  18 -> 20 [size =\"26877952\"]\n  19 [size=\"83360427\", alpha=\"0.13\", expect_size=\"25008128\"] \n  19 -> 20 [size =\"25008128\"]\n  19 -> 21 [size =\"25008128\"]\n  20 [size=\"36239360\", alpha=\"0.07\", expect_size=\"10871808\"] \n  20 -> 22 [size =\"10871808\"]\n  20 -> 23 [size =\"10871808\"]\n  21 [size=\"20159147\", alpha=\"0.16\", expect_size=\"6047744\"] \n  21 -> 22 [size =\"6047744\"]\n  21 -> 23 [size =\"6047744\"]\n  22 [size=\"131741013\", alpha=\"0.01\", expect_size=\"39522304\"] \n  22 -> 24 [size =\"39522304\"]\n  22 -> 25 [size =\"39522304\"]\n  22 -> 26 [size =\"39522304\"]\n  23 [size=\"148667733\", alpha=\"0.02\", expect_size=\"44600320\"] \n  23 -> 24 [size =\"44600320\"]\n  23 -> 25 [size =\"44600320\"]\n  23 -> 26 [size =\"44600320\"]\n  24 [size=\"151323307\", alpha=\"0.15\", expect_size=\"45396992\"] \n  24 -> 27 [size =\"45396992\"]\n  24 -> 28 [size =\"45396992\"]\n  25 [size=\"114220373\", alpha=\"0.09\", expect_size=\"34266112\"] \n  25 -> 27 [size =\"34266112\"]\n  25 -> 28 [size =\"34266112\"]\n  25 -> 29 [size =\"34266112\"]\n  26 [size=\"58914133\", alpha=\"0.09\", expect_size=\"17674240\"] \n  26 -> 28 [size =\"17674240\"]\n  26 -> 29 [size =\"17674240\"]\n  27 [size=\"18100907\", alpha=\"0.11\", expect_size=\"5430272\"] \n  27 -> 30 [size =\"5430272\"]\n  27 -> 32 [size =\"5430272\"]\n  28 [size=\"82251093\", alpha=\"0.15\", expect_size=\"24675328\"] \n  28 -> 30 [size =\"24675328\"]\n  28 -> 31 [size =\"24675328\"]\n  28 -> 32 [size =\"24675328\"]\n  29 [size=\"169171627\", alpha=\"0.15\", expect_size=\"50751488\"] \n  29 -> 30 [size =\"50751488\"]\n  29 -> 31 [size =\"50751488\"]\n  29 -> 32 [size =\"50751488\"]\n  30 [size=\"115343360\", alpha=\"0.16\", expect_size=\"34603008\"] \n  30 -> 34 [size =\"34603008\"]\n  31 [size=\"167516160\", alpha=\"0.07\", expect_size=\"50254848\"] \n  31 -> 33 [size =\"50254848\"]\n  31 -> 34 [size =\"50254848\"]\n  32 [size=\"138427733\", alpha=\"0.11\", expect_size=\"41528320\"] \n  32 -> 33 [size =\"41528320\"]\n  32 -> 34 [size =\"41528320\"]\n  33 [size=\"144612693\", alpha=\"0.15\", expect_size=\"43383808\"] \n  33 -> 35 [size =\"43383808\"]\n  33 -> 36 [size =\"43383808\"]\n  33 -> 37 [size =\"43383808\"]\n  34 [size=\"157395627\", alpha=\"0.19\", expect_size=\"47218688\"] \n  34 -> 35 [size =\"47218688\"]\n  34 -> 36 [size =\"47218688\"]\n  35 [size=\"119145813\", alpha=\"0.10\", expect_size=\"35743744\"] \n  35 -> 39 [size =\"35743744\"]\n  36 [size=\"35795627\", alpha=\"0.11\", expect_size=\"10738688\"] \n  36 -> 39 [size =\"10738688\"]\n  37 [size=\"106984107\", alpha=\"0.03\", expect_size=\"32095232\"] \n  37 -> 38 [size =\"32095232\"]\n  37 -> 39 [size =\"32095232\"]\n  38 [size=\"39482027\", alpha=\"0.04\", expect_size=\"11844608\"] \n  38 -> 40 [size =\"11844608\"]\n  39 [size=\"157685760\", alpha=\"0.14\", expect_size=\"47305728\"] \n  39 -> 40 [size =\"47305728\"]\n  40 [size=\"116329813\", alpha=\"0.06\", expect_size=\"34898944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166379520\", alpha=\"0.03\", expect_size=\"49913856\"] \n  1 -> 18 [size =\"49913856\"]\n  1 -> 19 [size =\"49913856\"]\n  1 -> 20 [size =\"49913856\"]\n  1 -> 22 [size =\"49913856\"]\n  1 -> 24 [size =\"49913856\"]\n  1 -> 25 [size =\"49913856\"]\n  2 [size=\"28791467\", alpha=\"0.08\", expect_size=\"8637440\"] \n  2 -> 19 [size =\"8637440\"]\n  2 -> 20 [size =\"8637440\"]\n  2 -> 22 [size =\"8637440\"]\n  2 -> 25 [size =\"8637440\"]\n  3 [size=\"172369920\", alpha=\"0.11\", expect_size=\"51710976\"] \n  3 -> 19 [size =\"51710976\"]\n  3 -> 24 [size =\"51710976\"]\n  3 -> 25 [size =\"51710976\"]\n  4 [size=\"124306773\", alpha=\"0.08\", expect_size=\"37292032\"] \n  4 -> 18 [size =\"37292032\"]\n  4 -> 19 [size =\"37292032\"]\n  4 -> 25 [size =\"37292032\"]\n  5 [size=\"124610560\", alpha=\"0.00\", expect_size=\"37383168\"] \n  5 -> 17 [size =\"37383168\"]\n  5 -> 19 [size =\"37383168\"]\n  5 -> 20 [size =\"37383168\"]\n  5 -> 22 [size =\"37383168\"]\n  5 -> 29 [size =\"37383168\"]\n  6 [size=\"29276160\", alpha=\"0.00\", expect_size=\"8782848\"] \n  6 -> 19 [size =\"8782848\"]\n  6 -> 19 [size =\"8782848\"]\n  6 -> 22 [size =\"8782848\"]\n  6 -> 22 [size =\"8782848\"]\n  6 -> 25 [size =\"8782848\"]\n  6 -> 27 [size =\"8782848\"]\n  7 [size=\"133266773\", alpha=\"0.19\", expect_size=\"39980032\"] \n  7 -> 19 [size =\"39980032\"]\n  7 -> 20 [size =\"39980032\"]\n  7 -> 23 [size =\"39980032\"]\n  7 -> 25 [size =\"39980032\"]\n  7 -> 25 [size =\"39980032\"]\n  7 -> 27 [size =\"39980032\"]\n  7 -> 28 [size =\"39980032\"]\n  7 -> 29 [size =\"39980032\"]\n  8 [size=\"113076907\", alpha=\"0.15\", expect_size=\"33923072\"] \n  8 -> 26 [size =\"33923072\"]\n  8 -> 27 [size =\"33923072\"]\n  9 [size=\"134137173\", alpha=\"0.08\", expect_size=\"40241152\"] \n  9 -> 18 [size =\"40241152\"]\n  9 -> 20 [size =\"40241152\"]\n  9 -> 24 [size =\"40241152\"]\n  9 -> 27 [size =\"40241152\"]\n  10 [size=\"126610773\", alpha=\"0.08\", expect_size=\"37983232\"] \n  10 -> 17 [size =\"37983232\"]\n  10 -> 18 [size =\"37983232\"]\n  10 -> 22 [size =\"37983232\"]\n  10 -> 27 [size =\"37983232\"]\n  11 [size=\"128348160\", alpha=\"0.14\", expect_size=\"38504448\"] \n  11 -> 19 [size =\"38504448\"]\n  11 -> 22 [size =\"38504448\"]\n  11 -> 27 [size =\"38504448\"]\n  11 -> 27 [size =\"38504448\"]\n  12 [size=\"152579413\", alpha=\"0.17\", expect_size=\"45773824\"] \n  12 -> 22 [size =\"45773824\"]\n  12 -> 25 [size =\"45773824\"]\n  12 -> 27 [size =\"45773824\"]\n  13 [size=\"60999680\", alpha=\"0.19\", expect_size=\"18299904\"] \n  13 -> 18 [size =\"18299904\"]\n  13 -> 27 [size =\"18299904\"]\n  13 -> 28 [size =\"18299904\"]\n  14 [size=\"149630293\", alpha=\"0.13\", expect_size=\"44889088\"] \n  14 -> 20 [size =\"44889088\"]\n  14 -> 21 [size =\"44889088\"]\n  14 -> 25 [size =\"44889088\"]\n  14 -> 27 [size =\"44889088\"]\n  15 [size=\"51729067\", alpha=\"0.19\", expect_size=\"15518720\"] \n  15 -> 17 [size =\"15518720\"]\n  15 -> 20 [size =\"15518720\"]\n  15 -> 22 [size =\"15518720\"]\n  15 -> 24 [size =\"15518720\"]\n  16 [size=\"55616853\", alpha=\"0.10\", expect_size=\"16685056\"] \n  16 -> 19 [size =\"16685056\"]\n  16 -> 27 [size =\"16685056\"]\n  17 [size=\"57026560\", alpha=\"0.04\", expect_size=\"17107968\"] \n  17 -> 30 [size =\"17107968\"]\n  17 -> 34 [size =\"17107968\"]\n  17 -> 37 [size =\"17107968\"]\n  17 -> 38 [size =\"17107968\"]\n  18 [size=\"47196160\", alpha=\"0.07\", expect_size=\"14158848\"] \n  18 -> 31 [size =\"14158848\"]\n  18 -> 38 [size =\"14158848\"]\n  19 [size=\"166400000\", alpha=\"0.18\", expect_size=\"49920000\"] \n  19 -> 33 [size =\"49920000\"]\n  19 -> 35 [size =\"49920000\"]\n  20 [size=\"70345387\", alpha=\"0.19\", expect_size=\"21103616\"] \n  20 -> 30 [size =\"21103616\"]\n  20 -> 35 [size =\"21103616\"]\n  20 -> 37 [size =\"21103616\"]\n  21 [size=\"135669760\", alpha=\"0.19\", expect_size=\"40700928\"] \n  21 -> 34 [size =\"40700928\"]\n  21 -> 35 [size =\"40700928\"]\n  21 -> 36 [size =\"40700928\"]\n  22 [size=\"90060800\", alpha=\"0.00\", expect_size=\"27018240\"] \n  22 -> 30 [size =\"27018240\"]\n  22 -> 32 [size =\"27018240\"]\n  22 -> 34 [size =\"27018240\"]\n  22 -> 36 [size =\"27018240\"]\n  23 [size=\"70215680\", alpha=\"0.02\", expect_size=\"21064704\"] \n  23 -> 30 [size =\"21064704\"]\n  23 -> 32 [size =\"21064704\"]\n  23 -> 35 [size =\"21064704\"]\n  23 -> 36 [size =\"21064704\"]\n  24 [size=\"60958720\", alpha=\"0.17\", expect_size=\"18287616\"] \n  24 -> 32 [size =\"18287616\"]\n  24 -> 36 [size =\"18287616\"]\n  24 -> 38 [size =\"18287616\"]\n  25 [size=\"159392427\", alpha=\"0.05\", expect_size=\"47817728\"] \n  25 -> 33 [size =\"47817728\"]\n  25 -> 34 [size =\"47817728\"]\n  25 -> 35 [size =\"47817728\"]\n  25 -> 36 [size =\"47817728\"]\n  26 [size=\"154832213\", alpha=\"0.15\", expect_size=\"46449664\"] \n  26 -> 33 [size =\"46449664\"]\n  26 -> 36 [size =\"46449664\"]\n  26 -> 37 [size =\"46449664\"]\n  26 -> 38 [size =\"46449664\"]\n  27 [size=\"79336107\", alpha=\"0.20\", expect_size=\"23800832\"] \n  27 -> 30 [size =\"23800832\"]\n  27 -> 31 [size =\"23800832\"]\n  27 -> 36 [size =\"23800832\"]\n  27 -> 37 [size =\"23800832\"]\n  28 [size=\"107489280\", alpha=\"0.17\", expect_size=\"32246784\"] \n  28 -> 30 [size =\"32246784\"]\n  28 -> 31 [size =\"32246784\"]\n  28 -> 32 [size =\"32246784\"]\n  28 -> 36 [size =\"32246784\"]\n  28 -> 37 [size =\"32246784\"]\n  29 [size=\"163324587\", alpha=\"0.08\", expect_size=\"48997376\"] \n  29 -> 30 [size =\"48997376\"]\n  29 -> 31 [size =\"48997376\"]\n  29 -> 37 [size =\"48997376\"]\n  30 [size=\"144192853\", alpha=\"0.14\", expect_size=\"43257856\"] \n  31 [size=\"134536533\", alpha=\"0.14\", expect_size=\"40360960\"] \n  31 -> 39 [size =\"40360960\"]\n  32 [size=\"125979307\", alpha=\"0.10\", expect_size=\"37793792\"] \n  32 -> 39 [size =\"37793792\"]\n  33 [size=\"129832960\", alpha=\"0.13\", expect_size=\"38949888\"] \n  33 -> 40 [size =\"38949888\"]\n  34 [size=\"143704747\", alpha=\"0.12\", expect_size=\"43111424\"] \n  34 -> 40 [size =\"43111424\"]\n  35 [size=\"117142187\", alpha=\"0.16\", expect_size=\"35142656\"] \n  35 -> 39 [size =\"35142656\"]\n  35 -> 40 [size =\"35142656\"]\n  36 [size=\"157282987\", alpha=\"0.04\", expect_size=\"47184896\"] \n  37 [size=\"118633813\", alpha=\"0.17\", expect_size=\"35590144\"] \n  38 [size=\"116995413\", alpha=\"0.15\", expect_size=\"35098624\"] \n  39 [size=\"90678613\", alpha=\"0.11\", expect_size=\"27203584\"] \n  40 [size=\"156347733\", alpha=\"0.14\", expect_size=\"46904320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23246848\", alpha=\"0.16\", expect_size=\"11623424\"] \n  1 -> 23 [size =\"11623424\"]\n  1 -> 24 [size =\"11623424\"]\n  1 -> 25 [size =\"11623424\"]\n  1 -> 26 [size =\"11623424\"]\n  1 -> 27 [size =\"11623424\"]\n  1 -> 28 [size =\"11623424\"]\n  1 -> 31 [size =\"11623424\"]\n  1 -> 35 [size =\"11623424\"]\n  1 -> 36 [size =\"11623424\"]\n  1 -> 38 [size =\"11623424\"]\n  1 -> 39 [size =\"11623424\"]\n  2 [size=\"80429056\", alpha=\"0.03\", expect_size=\"40214528\"] \n  2 -> 24 [size =\"40214528\"]\n  2 -> 25 [size =\"40214528\"]\n  2 -> 25 [size =\"40214528\"]\n  2 -> 27 [size =\"40214528\"]\n  2 -> 28 [size =\"40214528\"]\n  2 -> 36 [size =\"40214528\"]\n  2 -> 38 [size =\"40214528\"]\n  3 [size=\"36970496\", alpha=\"0.10\", expect_size=\"18485248\"] \n  3 -> 24 [size =\"18485248\"]\n  3 -> 25 [size =\"18485248\"]\n  3 -> 26 [size =\"18485248\"]\n  3 -> 32 [size =\"18485248\"]\n  3 -> 35 [size =\"18485248\"]\n  3 -> 36 [size =\"18485248\"]\n  3 -> 38 [size =\"18485248\"]\n  4 [size=\"95246336\", alpha=\"0.16\", expect_size=\"47623168\"] \n  4 -> 23 [size =\"47623168\"]\n  4 -> 24 [size =\"47623168\"]\n  4 -> 25 [size =\"47623168\"]\n  4 -> 27 [size =\"47623168\"]\n  4 -> 28 [size =\"47623168\"]\n  4 -> 35 [size =\"47623168\"]\n  4 -> 36 [size =\"47623168\"]\n  4 -> 38 [size =\"47623168\"]\n  4 -> 39 [size =\"47623168\"]\n  4 -> 40 [size =\"47623168\"]\n  5 [size=\"27129856\", alpha=\"0.01\", expect_size=\"13564928\"] \n  5 -> 23 [size =\"13564928\"]\n  5 -> 27 [size =\"13564928\"]\n  5 -> 28 [size =\"13564928\"]\n  5 -> 29 [size =\"13564928\"]\n  5 -> 30 [size =\"13564928\"]\n  5 -> 36 [size =\"13564928\"]\n  5 -> 39 [size =\"13564928\"]\n  6 [size=\"93888512\", alpha=\"0.08\", expect_size=\"46944256\"] \n  6 -> 22 [size =\"46944256\"]\n  6 -> 23 [size =\"46944256\"]\n  6 -> 25 [size =\"46944256\"]\n  6 -> 28 [size =\"46944256\"]\n  6 -> 29 [size =\"46944256\"]\n  6 -> 34 [size =\"46944256\"]\n  6 -> 35 [size =\"46944256\"]\n  6 -> 36 [size =\"46944256\"]\n  6 -> 38 [size =\"46944256\"]\n  6 -> 39 [size =\"46944256\"]\n  7 [size=\"77072384\", alpha=\"0.03\", expect_size=\"38536192\"] \n  7 -> 22 [size =\"38536192\"]\n  7 -> 24 [size =\"38536192\"]\n  7 -> 27 [size =\"38536192\"]\n  7 -> 29 [size =\"38536192\"]\n  7 -> 30 [size =\"38536192\"]\n  7 -> 35 [size =\"38536192\"]\n  7 -> 36 [size =\"38536192\"]\n  7 -> 36 [size =\"38536192\"]\n  7 -> 39 [size =\"38536192\"]\n  7 -> 39 [size =\"38536192\"]\n  8 [size=\"49659904\", alpha=\"0.01\", expect_size=\"24829952\"] \n  8 -> 22 [size =\"24829952\"]\n  8 -> 25 [size =\"24829952\"]\n  8 -> 28 [size =\"24829952\"]\n  8 -> 35 [size =\"24829952\"]\n  8 -> 36 [size =\"24829952\"]\n  8 -> 38 [size =\"24829952\"]\n  8 -> 39 [size =\"24829952\"]\n  9 [size=\"21022720\", alpha=\"0.09\", expect_size=\"10511360\"] \n  9 -> 22 [size =\"10511360\"]\n  9 -> 23 [size =\"10511360\"]\n  9 -> 27 [size =\"10511360\"]\n  9 -> 28 [size =\"10511360\"]\n  9 -> 35 [size =\"10511360\"]\n  9 -> 36 [size =\"10511360\"]\n  9 -> 37 [size =\"10511360\"]\n  9 -> 39 [size =\"10511360\"]\n  10 [size=\"73682944\", alpha=\"0.12\", expect_size=\"36841472\"] \n  10 -> 23 [size =\"36841472\"]\n  10 -> 24 [size =\"36841472\"]\n  10 -> 26 [size =\"36841472\"]\n  10 -> 27 [size =\"36841472\"]\n  10 -> 28 [size =\"36841472\"]\n  10 -> 32 [size =\"36841472\"]\n  10 -> 35 [size =\"36841472\"]\n  10 -> 36 [size =\"36841472\"]\n  11 [size=\"61011968\", alpha=\"0.15\", expect_size=\"30505984\"] \n  11 -> 23 [size =\"30505984\"]\n  11 -> 26 [size =\"30505984\"]\n  11 -> 27 [size =\"30505984\"]\n  11 -> 28 [size =\"30505984\"]\n  11 -> 28 [size =\"30505984\"]\n  11 -> 30 [size =\"30505984\"]\n  11 -> 36 [size =\"30505984\"]\n  11 -> 39 [size =\"30505984\"]\n  11 -> 40 [size =\"30505984\"]\n  12 [size=\"43812864\", alpha=\"0.13\", expect_size=\"21906432\"] \n  12 -> 26 [size =\"21906432\"]\n  12 -> 27 [size =\"21906432\"]\n  12 -> 28 [size =\"21906432\"]\n  12 -> 29 [size =\"21906432\"]\n  12 -> 35 [size =\"21906432\"]\n  12 -> 36 [size =\"21906432\"]\n  12 -> 37 [size =\"21906432\"]\n  12 -> 39 [size =\"21906432\"]\n  13 [size=\"59402240\", alpha=\"0.14\", expect_size=\"29701120\"] \n  13 -> 23 [size =\"29701120\"]\n  13 -> 24 [size =\"29701120\"]\n  13 -> 26 [size =\"29701120\"]\n  13 -> 27 [size =\"29701120\"]\n  13 -> 28 [size =\"29701120\"]\n  13 -> 29 [size =\"29701120\"]\n  13 -> 35 [size =\"29701120\"]\n  13 -> 36 [size =\"29701120\"]\n  13 -> 37 [size =\"29701120\"]\n  13 -> 38 [size =\"29701120\"]\n  13 -> 39 [size =\"29701120\"]\n  14 [size=\"12894208\", alpha=\"0.12\", expect_size=\"6447104\"] \n  14 -> 22 [size =\"6447104\"]\n  14 -> 23 [size =\"6447104\"]\n  14 -> 24 [size =\"6447104\"]\n  14 -> 26 [size =\"6447104\"]\n  14 -> 27 [size =\"6447104\"]\n  14 -> 29 [size =\"6447104\"]\n  14 -> 34 [size =\"6447104\"]\n  14 -> 35 [size =\"6447104\"]\n  14 -> 36 [size =\"6447104\"]\n  14 -> 37 [size =\"6447104\"]\n  14 -> 38 [size =\"6447104\"]\n  14 -> 39 [size =\"6447104\"]\n  15 [size=\"87115776\", alpha=\"0.08\", expect_size=\"43557888\"] \n  15 -> 22 [size =\"43557888\"]\n  15 -> 24 [size =\"43557888\"]\n  15 -> 25 [size =\"43557888\"]\n  15 -> 26 [size =\"43557888\"]\n  15 -> 27 [size =\"43557888\"]\n  15 -> 36 [size =\"43557888\"]\n  15 -> 37 [size =\"43557888\"]\n  15 -> 38 [size =\"43557888\"]\n  15 -> 39 [size =\"43557888\"]\n  16 [size=\"91682816\", alpha=\"0.06\", expect_size=\"45841408\"] \n  16 -> 22 [size =\"45841408\"]\n  16 -> 24 [size =\"45841408\"]\n  16 -> 25 [size =\"45841408\"]\n  16 -> 27 [size =\"45841408\"]\n  16 -> 27 [size =\"45841408\"]\n  16 -> 28 [size =\"45841408\"]\n  16 -> 35 [size =\"45841408\"]\n  16 -> 36 [size =\"45841408\"]\n  16 -> 38 [size =\"45841408\"]\n  16 -> 39 [size =\"45841408\"]\n  17 [size=\"35346432\", alpha=\"0.19\", expect_size=\"17673216\"] \n  17 -> 24 [size =\"17673216\"]\n  17 -> 24 [size =\"17673216\"]\n  17 -> 25 [size =\"17673216\"]\n  17 -> 27 [size =\"17673216\"]\n  17 -> 29 [size =\"17673216\"]\n  17 -> 35 [size =\"17673216\"]\n  17 -> 37 [size =\"17673216\"]\n  17 -> 39 [size =\"17673216\"]\n  18 [size=\"49176576\", alpha=\"0.07\", expect_size=\"24588288\"] \n  18 -> 23 [size =\"24588288\"]\n  18 -> 24 [size =\"24588288\"]\n  18 -> 25 [size =\"24588288\"]\n  18 -> 26 [size =\"24588288\"]\n  18 -> 27 [size =\"24588288\"]\n  18 -> 28 [size =\"24588288\"]\n  18 -> 29 [size =\"24588288\"]\n  18 -> 37 [size =\"24588288\"]\n  18 -> 38 [size =\"24588288\"]\n  18 -> 39 [size =\"24588288\"]\n  19 [size=\"55934976\", alpha=\"0.10\", expect_size=\"27967488\"] \n  19 -> 24 [size =\"27967488\"]\n  19 -> 24 [size =\"27967488\"]\n  19 -> 25 [size =\"27967488\"]\n  19 -> 27 [size =\"27967488\"]\n  19 -> 29 [size =\"27967488\"]\n  19 -> 30 [size =\"27967488\"]\n  19 -> 34 [size =\"27967488\"]\n  19 -> 35 [size =\"27967488\"]\n  19 -> 38 [size =\"27967488\"]\n  19 -> 39 [size =\"27967488\"]\n  19 -> 40 [size =\"27967488\"]\n  20 [size=\"96753664\", alpha=\"0.13\", expect_size=\"48376832\"] \n  20 -> 23 [size =\"48376832\"]\n  20 -> 24 [size =\"48376832\"]\n  20 -> 25 [size =\"48376832\"]\n  20 -> 26 [size =\"48376832\"]\n  20 -> 27 [size =\"48376832\"]\n  20 -> 29 [size =\"48376832\"]\n  20 -> 33 [size =\"48376832\"]\n  20 -> 37 [size =\"48376832\"]\n  20 -> 38 [size =\"48376832\"]\n  20 -> 39 [size =\"48376832\"]\n  21 [size=\"59205632\", alpha=\"0.18\", expect_size=\"29602816\"] \n  21 -> 23 [size =\"29602816\"]\n  21 -> 25 [size =\"29602816\"]\n  21 -> 26 [size =\"29602816\"]\n  21 -> 27 [size =\"29602816\"]\n  21 -> 28 [size =\"29602816\"]\n  21 -> 39 [size =\"29602816\"]\n  22 [size=\"36024320\", alpha=\"0.18\", expect_size=\"18012160\"] \n  23 [size=\"95643648\", alpha=\"0.04\", expect_size=\"47821824\"] \n  24 [size=\"69281792\", alpha=\"0.08\", expect_size=\"34640896\"] \n  25 [size=\"30523392\", alpha=\"0.15\", expect_size=\"15261696\"] \n  26 [size=\"67289088\", alpha=\"0.00\", expect_size=\"33644544\"] \n  27 [size=\"96120832\", alpha=\"0.19\", expect_size=\"48060416\"] \n  28 [size=\"89452544\", alpha=\"0.07\", expect_size=\"44726272\"] \n  29 [size=\"26648576\", alpha=\"0.17\", expect_size=\"13324288\"] \n  30 [size=\"73316352\", alpha=\"0.20\", expect_size=\"36658176\"] \n  31 [size=\"38418432\", alpha=\"0.13\", expect_size=\"19209216\"] \n  32 [size=\"29083648\", alpha=\"0.14\", expect_size=\"14541824\"] \n  33 [size=\"20887552\", alpha=\"0.05\", expect_size=\"10443776\"] \n  34 [size=\"40314880\", alpha=\"0.17\", expect_size=\"20157440\"] \n  35 [size=\"77758464\", alpha=\"0.05\", expect_size=\"38879232\"] \n  36 [size=\"55486464\", alpha=\"0.10\", expect_size=\"27743232\"] \n  37 [size=\"56905728\", alpha=\"0.01\", expect_size=\"28452864\"] \n  38 [size=\"54233088\", alpha=\"0.19\", expect_size=\"27116544\"] \n  39 [size=\"86642688\", alpha=\"0.08\", expect_size=\"43321344\"] \n  40 [size=\"70299648\", alpha=\"0.14\", expect_size=\"35149824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48537600\", alpha=\"0.14\", expect_size=\"24268800\"] \n  1 -> 5 [size =\"24268800\"]\n  2 [size=\"42532864\", alpha=\"0.01\", expect_size=\"21266432\"] \n  2 -> 3 [size =\"21266432\"]\n  2 -> 4 [size =\"21266432\"]\n  2 -> 5 [size =\"21266432\"]\n  3 [size=\"71333888\", alpha=\"0.01\", expect_size=\"35666944\"] \n  3 -> 6 [size =\"35666944\"]\n  3 -> 7 [size =\"35666944\"]\n  4 [size=\"12044288\", alpha=\"0.12\", expect_size=\"6022144\"] \n  5 [size=\"84129792\", alpha=\"0.20\", expect_size=\"42064896\"] \n  5 -> 7 [size =\"42064896\"]\n  6 [size=\"54806528\", alpha=\"0.06\", expect_size=\"27403264\"] \n  6 -> 8 [size =\"27403264\"]\n  6 -> 9 [size =\"27403264\"]\n  7 [size=\"72069120\", alpha=\"0.08\", expect_size=\"36034560\"] \n  8 [size=\"48676864\", alpha=\"0.13\", expect_size=\"24338432\"] \n  8 -> 10 [size =\"24338432\"]\n  8 -> 11 [size =\"24338432\"]\n  9 [size=\"98002944\", alpha=\"0.06\", expect_size=\"49001472\"] \n  9 -> 10 [size =\"49001472\"]\n  10 [size=\"40087552\", alpha=\"0.01\", expect_size=\"20043776\"] \n  10 -> 14 [size =\"20043776\"]\n  11 [size=\"31365120\", alpha=\"0.17\", expect_size=\"15682560\"] \n  11 -> 12 [size =\"15682560\"]\n  11 -> 13 [size =\"15682560\"]\n  11 -> 14 [size =\"15682560\"]\n  12 [size=\"99536896\", alpha=\"0.01\", expect_size=\"49768448\"] \n  12 -> 15 [size =\"49768448\"]\n  13 [size=\"104011776\", alpha=\"0.18\", expect_size=\"52005888\"] \n  13 -> 16 [size =\"52005888\"]\n  14 [size=\"12003328\", alpha=\"0.19\", expect_size=\"6001664\"] \n  15 [size=\"69738496\", alpha=\"0.06\", expect_size=\"34869248\"] \n  15 -> 18 [size =\"34869248\"]\n  15 -> 19 [size =\"34869248\"]\n  16 [size=\"69486592\", alpha=\"0.18\", expect_size=\"34743296\"] \n  16 -> 17 [size =\"34743296\"]\n  17 [size=\"96729088\", alpha=\"0.03\", expect_size=\"48364544\"] \n  17 -> 20 [size =\"48364544\"]\n  18 [size=\"38848512\", alpha=\"0.07\", expect_size=\"19424256\"] \n  19 [size=\"99532800\", alpha=\"0.14\", expect_size=\"49766400\"] \n  19 -> 21 [size =\"49766400\"]\n  19 -> 22 [size =\"49766400\"]\n  20 [size=\"34578432\", alpha=\"0.04\", expect_size=\"17289216\"] \n  20 -> 24 [size =\"17289216\"]\n  21 [size=\"37212160\", alpha=\"0.03\", expect_size=\"18606080\"] \n  21 -> 23 [size =\"18606080\"]\n  22 [size=\"20774912\", alpha=\"0.08\", expect_size=\"10387456\"] \n  22 -> 23 [size =\"10387456\"]\n  23 [size=\"25718784\", alpha=\"0.07\", expect_size=\"12859392\"] \n  23 -> 25 [size =\"12859392\"]\n  23 -> 26 [size =\"12859392\"]\n  24 [size=\"17154048\", alpha=\"0.05\", expect_size=\"8577024\"] \n  24 -> 26 [size =\"8577024\"]\n  24 -> 27 [size =\"8577024\"]\n  25 [size=\"12484608\", alpha=\"0.19\", expect_size=\"6242304\"] \n  26 [size=\"41334784\", alpha=\"0.03\", expect_size=\"20667392\"] \n  26 -> 28 [size =\"20667392\"]\n  26 -> 29 [size =\"20667392\"]\n  27 [size=\"31694848\", alpha=\"0.20\", expect_size=\"15847424\"] \n  27 -> 28 [size =\"15847424\"]\n  28 [size=\"47591424\", alpha=\"0.04\", expect_size=\"23795712\"] \n  28 -> 31 [size =\"23795712\"]\n  28 -> 32 [size =\"23795712\"]\n  29 [size=\"78295040\", alpha=\"0.08\", expect_size=\"39147520\"] \n  29 -> 30 [size =\"39147520\"]\n  29 -> 31 [size =\"39147520\"]\n  29 -> 32 [size =\"39147520\"]\n  30 [size=\"49780736\", alpha=\"0.17\", expect_size=\"24890368\"] \n  31 [size=\"70760448\", alpha=\"0.11\", expect_size=\"35380224\"] \n  32 [size=\"84916224\", alpha=\"0.04\", expect_size=\"42458112\"] \n  32 -> 33 [size =\"42458112\"]\n  32 -> 34 [size =\"42458112\"]\n  33 [size=\"29923328\", alpha=\"0.17\", expect_size=\"14961664\"] \n  33 -> 35 [size =\"14961664\"]\n  33 -> 36 [size =\"14961664\"]\n  34 [size=\"61003776\", alpha=\"0.09\", expect_size=\"30501888\"] \n  34 -> 36 [size =\"30501888\"]\n  35 [size=\"85344256\", alpha=\"0.15\", expect_size=\"42672128\"] \n  35 -> 37 [size =\"42672128\"]\n  35 -> 38 [size =\"42672128\"]\n  35 -> 39 [size =\"42672128\"]\n  36 [size=\"82219008\", alpha=\"0.13\", expect_size=\"41109504\"] \n  36 -> 37 [size =\"41109504\"]\n  37 [size=\"95948800\", alpha=\"0.09\", expect_size=\"47974400\"] \n  37 -> 40 [size =\"47974400\"]\n  38 [size=\"93749248\", alpha=\"0.12\", expect_size=\"46874624\"] \n  39 [size=\"19435520\", alpha=\"0.13\", expect_size=\"9717760\"] \n  40 [size=\"54902784\", alpha=\"0.19\", expect_size=\"27451392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25637547\", alpha=\"0.16\", expect_size=\"7691264\"] \n  1 -> 12 [size =\"7691264\"]\n  1 -> 18 [size =\"7691264\"]\n  2 [size=\"150118400\", alpha=\"0.19\", expect_size=\"45035520\"] \n  2 -> 12 [size =\"45035520\"]\n  2 -> 16 [size =\"45035520\"]\n  2 -> 17 [size =\"45035520\"]\n  2 -> 18 [size =\"45035520\"]\n  3 [size=\"102894933\", alpha=\"0.09\", expect_size=\"30868480\"] \n  3 -> 16 [size =\"30868480\"]\n  3 -> 16 [size =\"30868480\"]\n  3 -> 20 [size =\"30868480\"]\n  3 -> 21 [size =\"30868480\"]\n  4 [size=\"94805333\", alpha=\"0.13\", expect_size=\"28441600\"] \n  4 -> 15 [size =\"28441600\"]\n  4 -> 21 [size =\"28441600\"]\n  4 -> 22 [size =\"28441600\"]\n  5 [size=\"60409173\", alpha=\"0.04\", expect_size=\"18122752\"] \n  5 -> 13 [size =\"18122752\"]\n  5 -> 15 [size =\"18122752\"]\n  6 [size=\"25128960\", alpha=\"0.07\", expect_size=\"7538688\"] \n  6 -> 12 [size =\"7538688\"]\n  6 -> 14 [size =\"7538688\"]\n  6 -> 17 [size =\"7538688\"]\n  6 -> 18 [size =\"7538688\"]\n  6 -> 20 [size =\"7538688\"]\n  6 -> 22 [size =\"7538688\"]\n  7 [size=\"167864320\", alpha=\"0.16\", expect_size=\"50359296\"] \n  7 -> 13 [size =\"50359296\"]\n  7 -> 20 [size =\"50359296\"]\n  7 -> 22 [size =\"50359296\"]\n  8 [size=\"172748800\", alpha=\"0.09\", expect_size=\"51824640\"] \n  8 -> 15 [size =\"51824640\"]\n  8 -> 17 [size =\"51824640\"]\n  8 -> 22 [size =\"51824640\"]\n  9 [size=\"143441920\", alpha=\"0.12\", expect_size=\"43032576\"] \n  9 -> 14 [size =\"43032576\"]\n  9 -> 17 [size =\"43032576\"]\n  9 -> 21 [size =\"43032576\"]\n  9 -> 22 [size =\"43032576\"]\n  10 [size=\"159593813\", alpha=\"0.19\", expect_size=\"47878144\"] \n  10 -> 12 [size =\"47878144\"]\n  10 -> 16 [size =\"47878144\"]\n  10 -> 17 [size =\"47878144\"]\n  10 -> 19 [size =\"47878144\"]\n  10 -> 21 [size =\"47878144\"]\n  11 [size=\"148882773\", alpha=\"0.01\", expect_size=\"44664832\"] \n  11 -> 12 [size =\"44664832\"]\n  11 -> 16 [size =\"44664832\"]\n  11 -> 20 [size =\"44664832\"]\n  12 [size=\"120616960\", alpha=\"0.11\", expect_size=\"36185088\"] \n  12 -> 24 [size =\"36185088\"]\n  12 -> 26 [size =\"36185088\"]\n  12 -> 30 [size =\"36185088\"]\n  12 -> 32 [size =\"36185088\"]\n  13 [size=\"108950187\", alpha=\"0.12\", expect_size=\"32685056\"] \n  13 -> 24 [size =\"32685056\"]\n  13 -> 25 [size =\"32685056\"]\n  13 -> 26 [size =\"32685056\"]\n  13 -> 28 [size =\"32685056\"]\n  14 [size=\"25787733\", alpha=\"0.14\", expect_size=\"7736320\"] \n  14 -> 23 [size =\"7736320\"]\n  14 -> 25 [size =\"7736320\"]\n  14 -> 26 [size =\"7736320\"]\n  14 -> 27 [size =\"7736320\"]\n  14 -> 29 [size =\"7736320\"]\n  14 -> 30 [size =\"7736320\"]\n  14 -> 32 [size =\"7736320\"]\n  15 [size=\"125692587\", alpha=\"0.13\", expect_size=\"37707776\"] \n  15 -> 25 [size =\"37707776\"]\n  15 -> 25 [size =\"37707776\"]\n  15 -> 30 [size =\"37707776\"]\n  15 -> 31 [size =\"37707776\"]\n  16 [size=\"154617173\", alpha=\"0.03\", expect_size=\"46385152\"] \n  16 -> 27 [size =\"46385152\"]\n  16 -> 28 [size =\"46385152\"]\n  16 -> 29 [size =\"46385152\"]\n  16 -> 31 [size =\"46385152\"]\n  17 [size=\"49902933\", alpha=\"0.00\", expect_size=\"14970880\"] \n  17 -> 24 [size =\"14970880\"]\n  17 -> 25 [size =\"14970880\"]\n  17 -> 31 [size =\"14970880\"]\n  17 -> 33 [size =\"14970880\"]\n  18 [size=\"20797440\", alpha=\"0.09\", expect_size=\"6239232\"] \n  18 -> 23 [size =\"6239232\"]\n  18 -> 26 [size =\"6239232\"]\n  18 -> 29 [size =\"6239232\"]\n  18 -> 31 [size =\"6239232\"]\n  18 -> 34 [size =\"6239232\"]\n  19 [size=\"88531627\", alpha=\"0.07\", expect_size=\"26559488\"] \n  19 -> 26 [size =\"26559488\"]\n  19 -> 27 [size =\"26559488\"]\n  19 -> 28 [size =\"26559488\"]\n  19 -> 30 [size =\"26559488\"]\n  19 -> 33 [size =\"26559488\"]\n  19 -> 34 [size =\"26559488\"]\n  20 [size=\"23265280\", alpha=\"0.06\", expect_size=\"6979584\"] \n  20 -> 30 [size =\"6979584\"]\n  20 -> 31 [size =\"6979584\"]\n  20 -> 34 [size =\"6979584\"]\n  21 [size=\"169004373\", alpha=\"0.05\", expect_size=\"50701312\"] \n  21 -> 25 [size =\"50701312\"]\n  21 -> 27 [size =\"50701312\"]\n  21 -> 28 [size =\"50701312\"]\n  22 [size=\"18933760\", alpha=\"0.02\", expect_size=\"5680128\"] \n  22 -> 26 [size =\"5680128\"]\n  22 -> 27 [size =\"5680128\"]\n  22 -> 28 [size =\"5680128\"]\n  22 -> 30 [size =\"5680128\"]\n  22 -> 32 [size =\"5680128\"]\n  23 [size=\"104236373\", alpha=\"0.09\", expect_size=\"31270912\"] \n  23 -> 38 [size =\"31270912\"]\n  23 -> 40 [size =\"31270912\"]\n  24 [size=\"38304427\", alpha=\"0.06\", expect_size=\"11491328\"] \n  25 [size=\"150787413\", alpha=\"0.09\", expect_size=\"45236224\"] \n  25 -> 37 [size =\"45236224\"]\n  25 -> 38 [size =\"45236224\"]\n  26 [size=\"95126187\", alpha=\"0.12\", expect_size=\"28537856\"] \n  26 -> 36 [size =\"28537856\"]\n  27 [size=\"115544747\", alpha=\"0.15\", expect_size=\"34663424\"] \n  27 -> 36 [size =\"34663424\"]\n  27 -> 38 [size =\"34663424\"]\n  27 -> 40 [size =\"34663424\"]\n  28 [size=\"118135467\", alpha=\"0.17\", expect_size=\"35440640\"] \n  29 [size=\"32020480\", alpha=\"0.16\", expect_size=\"9606144\"] \n  29 -> 35 [size =\"9606144\"]\n  30 [size=\"88808107\", alpha=\"0.12\", expect_size=\"26642432\"] \n  30 -> 35 [size =\"26642432\"]\n  30 -> 38 [size =\"26642432\"]\n  30 -> 40 [size =\"26642432\"]\n  31 [size=\"133748053\", alpha=\"0.05\", expect_size=\"40124416\"] \n  31 -> 37 [size =\"40124416\"]\n  32 [size=\"17718613\", alpha=\"0.12\", expect_size=\"5315584\"] \n  32 -> 36 [size =\"5315584\"]\n  33 [size=\"30644907\", alpha=\"0.09\", expect_size=\"9193472\"] \n  33 -> 36 [size =\"9193472\"]\n  33 -> 39 [size =\"9193472\"]\n  33 -> 40 [size =\"9193472\"]\n  34 [size=\"100662613\", alpha=\"0.08\", expect_size=\"30198784\"] \n  34 -> 36 [size =\"30198784\"]\n  34 -> 40 [size =\"30198784\"]\n  34 -> 40 [size =\"30198784\"]\n  35 [size=\"147817813\", alpha=\"0.01\", expect_size=\"44345344\"] \n  36 [size=\"57753600\", alpha=\"0.11\", expect_size=\"17326080\"] \n  37 [size=\"152702293\", alpha=\"0.06\", expect_size=\"45810688\"] \n  38 [size=\"111192747\", alpha=\"0.00\", expect_size=\"33357824\"] \n  39 [size=\"88500907\", alpha=\"0.04\", expect_size=\"26550272\"] \n  40 [size=\"53302613\", alpha=\"0.09\", expect_size=\"15990784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83135147\", alpha=\"0.11\", expect_size=\"24940544\"] \n  1 -> 15 [size =\"24940544\"]\n  1 -> 18 [size =\"24940544\"]\n  1 -> 19 [size =\"24940544\"]\n  1 -> 20 [size =\"24940544\"]\n  1 -> 22 [size =\"24940544\"]\n  1 -> 23 [size =\"24940544\"]\n  1 -> 23 [size =\"24940544\"]\n  1 -> 25 [size =\"24940544\"]\n  2 [size=\"85118293\", alpha=\"0.12\", expect_size=\"25535488\"] \n  2 -> 16 [size =\"25535488\"]\n  2 -> 17 [size =\"25535488\"]\n  2 -> 18 [size =\"25535488\"]\n  2 -> 24 [size =\"25535488\"]\n  3 [size=\"26552320\", alpha=\"0.05\", expect_size=\"7965696\"] \n  3 -> 13 [size =\"7965696\"]\n  3 -> 17 [size =\"7965696\"]\n  3 -> 18 [size =\"7965696\"]\n  3 -> 20 [size =\"7965696\"]\n  3 -> 22 [size =\"7965696\"]\n  3 -> 24 [size =\"7965696\"]\n  4 [size=\"31569920\", alpha=\"0.11\", expect_size=\"9470976\"] \n  4 -> 13 [size =\"9470976\"]\n  4 -> 14 [size =\"9470976\"]\n  4 -> 15 [size =\"9470976\"]\n  4 -> 17 [size =\"9470976\"]\n  4 -> 19 [size =\"9470976\"]\n  4 -> 21 [size =\"9470976\"]\n  4 -> 22 [size =\"9470976\"]\n  4 -> 23 [size =\"9470976\"]\n  4 -> 24 [size =\"9470976\"]\n  5 [size=\"116415147\", alpha=\"0.01\", expect_size=\"34924544\"] \n  5 -> 13 [size =\"34924544\"]\n  5 -> 17 [size =\"34924544\"]\n  5 -> 19 [size =\"34924544\"]\n  5 -> 21 [size =\"34924544\"]\n  5 -> 22 [size =\"34924544\"]\n  5 -> 23 [size =\"34924544\"]\n  5 -> 24 [size =\"34924544\"]\n  6 [size=\"153262080\", alpha=\"0.19\", expect_size=\"45978624\"] \n  6 -> 13 [size =\"45978624\"]\n  6 -> 14 [size =\"45978624\"]\n  6 -> 17 [size =\"45978624\"]\n  6 -> 19 [size =\"45978624\"]\n  6 -> 20 [size =\"45978624\"]\n  6 -> 21 [size =\"45978624\"]\n  6 -> 23 [size =\"45978624\"]\n  6 -> 24 [size =\"45978624\"]\n  7 [size=\"72587947\", alpha=\"0.05\", expect_size=\"21776384\"] \n  7 -> 13 [size =\"21776384\"]\n  7 -> 17 [size =\"21776384\"]\n  7 -> 19 [size =\"21776384\"]\n  7 -> 19 [size =\"21776384\"]\n  7 -> 20 [size =\"21776384\"]\n  7 -> 22 [size =\"21776384\"]\n  7 -> 23 [size =\"21776384\"]\n  7 -> 24 [size =\"21776384\"]\n  8 [size=\"164010667\", alpha=\"0.06\", expect_size=\"49203200\"] \n  8 -> 17 [size =\"49203200\"]\n  8 -> 19 [size =\"49203200\"]\n  8 -> 19 [size =\"49203200\"]\n  8 -> 20 [size =\"49203200\"]\n  8 -> 21 [size =\"49203200\"]\n  8 -> 24 [size =\"49203200\"]\n  9 [size=\"91146240\", alpha=\"0.16\", expect_size=\"27343872\"] \n  9 -> 19 [size =\"27343872\"]\n  9 -> 22 [size =\"27343872\"]\n  9 -> 24 [size =\"27343872\"]\n  10 [size=\"140752213\", alpha=\"0.05\", expect_size=\"42225664\"] \n  10 -> 13 [size =\"42225664\"]\n  10 -> 17 [size =\"42225664\"]\n  10 -> 18 [size =\"42225664\"]\n  10 -> 19 [size =\"42225664\"]\n  10 -> 23 [size =\"42225664\"]\n  10 -> 24 [size =\"42225664\"]\n  11 [size=\"72693760\", alpha=\"0.06\", expect_size=\"21808128\"] \n  11 -> 13 [size =\"21808128\"]\n  11 -> 18 [size =\"21808128\"]\n  11 -> 20 [size =\"21808128\"]\n  11 -> 22 [size =\"21808128\"]\n  11 -> 23 [size =\"21808128\"]\n  11 -> 24 [size =\"21808128\"]\n  11 -> 25 [size =\"21808128\"]\n  12 [size=\"157112320\", alpha=\"0.08\", expect_size=\"47133696\"] \n  12 -> 13 [size =\"47133696\"]\n  12 -> 17 [size =\"47133696\"]\n  12 -> 18 [size =\"47133696\"]\n  12 -> 19 [size =\"47133696\"]\n  12 -> 20 [size =\"47133696\"]\n  12 -> 22 [size =\"47133696\"]\n  12 -> 23 [size =\"47133696\"]\n  12 -> 24 [size =\"47133696\"]\n  13 [size=\"92412587\", alpha=\"0.05\", expect_size=\"27723776\"] \n  13 -> 29 [size =\"27723776\"]\n  13 -> 30 [size =\"27723776\"]\n  13 -> 30 [size =\"27723776\"]\n  13 -> 31 [size =\"27723776\"]\n  13 -> 32 [size =\"27723776\"]\n  13 -> 34 [size =\"27723776\"]\n  13 -> 35 [size =\"27723776\"]\n  13 -> 36 [size =\"27723776\"]\n  13 -> 37 [size =\"27723776\"]\n  14 [size=\"134304427\", alpha=\"0.18\", expect_size=\"40291328\"] \n  14 -> 29 [size =\"40291328\"]\n  14 -> 30 [size =\"40291328\"]\n  14 -> 32 [size =\"40291328\"]\n  14 -> 34 [size =\"40291328\"]\n  14 -> 35 [size =\"40291328\"]\n  14 -> 36 [size =\"40291328\"]\n  15 [size=\"62870187\", alpha=\"0.07\", expect_size=\"18861056\"] \n  15 -> 27 [size =\"18861056\"]\n  15 -> 32 [size =\"18861056\"]\n  15 -> 34 [size =\"18861056\"]\n  15 -> 36 [size =\"18861056\"]\n  16 [size=\"72403627\", alpha=\"0.19\", expect_size=\"21721088\"] \n  16 -> 26 [size =\"21721088\"]\n  16 -> 30 [size =\"21721088\"]\n  16 -> 33 [size =\"21721088\"]\n  16 -> 34 [size =\"21721088\"]\n  16 -> 36 [size =\"21721088\"]\n  17 [size=\"61668693\", alpha=\"0.02\", expect_size=\"18500608\"] \n  17 -> 30 [size =\"18500608\"]\n  17 -> 34 [size =\"18500608\"]\n  17 -> 36 [size =\"18500608\"]\n  18 [size=\"102857387\", alpha=\"0.09\", expect_size=\"30857216\"] \n  18 -> 28 [size =\"30857216\"]\n  18 -> 29 [size =\"30857216\"]\n  18 -> 32 [size =\"30857216\"]\n  18 -> 33 [size =\"30857216\"]\n  18 -> 34 [size =\"30857216\"]\n  18 -> 35 [size =\"30857216\"]\n  18 -> 36 [size =\"30857216\"]\n  19 [size=\"151292587\", alpha=\"0.19\", expect_size=\"45387776\"] \n  19 -> 28 [size =\"45387776\"]\n  19 -> 32 [size =\"45387776\"]\n  19 -> 34 [size =\"45387776\"]\n  19 -> 36 [size =\"45387776\"]\n  20 [size=\"120115200\", alpha=\"0.07\", expect_size=\"36034560\"] \n  20 -> 29 [size =\"36034560\"]\n  20 -> 32 [size =\"36034560\"]\n  20 -> 34 [size =\"36034560\"]\n  20 -> 35 [size =\"36034560\"]\n  20 -> 36 [size =\"36034560\"]\n  21 [size=\"158941867\", alpha=\"0.03\", expect_size=\"47682560\"] \n  21 -> 28 [size =\"47682560\"]\n  21 -> 29 [size =\"47682560\"]\n  21 -> 30 [size =\"47682560\"]\n  21 -> 32 [size =\"47682560\"]\n  21 -> 33 [size =\"47682560\"]\n  21 -> 35 [size =\"47682560\"]\n  21 -> 36 [size =\"47682560\"]\n  22 [size=\"49769813\", alpha=\"0.07\", expect_size=\"14930944\"] \n  22 -> 28 [size =\"14930944\"]\n  22 -> 29 [size =\"14930944\"]\n  22 -> 30 [size =\"14930944\"]\n  22 -> 32 [size =\"14930944\"]\n  22 -> 33 [size =\"14930944\"]\n  22 -> 34 [size =\"14930944\"]\n  23 [size=\"114459307\", alpha=\"0.12\", expect_size=\"34337792\"] \n  23 -> 28 [size =\"34337792\"]\n  23 -> 29 [size =\"34337792\"]\n  23 -> 30 [size =\"34337792\"]\n  23 -> 35 [size =\"34337792\"]\n  24 [size=\"157132800\", alpha=\"0.20\", expect_size=\"47139840\"] \n  24 -> 28 [size =\"47139840\"]\n  24 -> 29 [size =\"47139840\"]\n  24 -> 30 [size =\"47139840\"]\n  24 -> 34 [size =\"47139840\"]\n  24 -> 36 [size =\"47139840\"]\n  25 [size=\"139250347\", alpha=\"0.20\", expect_size=\"41775104\"] \n  25 -> 29 [size =\"41775104\"]\n  25 -> 29 [size =\"41775104\"]\n  25 -> 30 [size =\"41775104\"]\n  25 -> 32 [size =\"41775104\"]\n  25 -> 33 [size =\"41775104\"]\n  25 -> 34 [size =\"41775104\"]\n  25 -> 35 [size =\"41775104\"]\n  25 -> 36 [size =\"41775104\"]\n  26 [size=\"35894613\", alpha=\"0.17\", expect_size=\"10768384\"] \n  26 -> 39 [size =\"10768384\"]\n  27 [size=\"30839467\", alpha=\"0.01\", expect_size=\"9251840\"] \n  27 -> 40 [size =\"9251840\"]\n  28 [size=\"45404160\", alpha=\"0.04\", expect_size=\"13621248\"] \n  28 -> 40 [size =\"13621248\"]\n  29 [size=\"115080533\", alpha=\"0.16\", expect_size=\"34524160\"] \n  29 -> 38 [size =\"34524160\"]\n  29 -> 40 [size =\"34524160\"]\n  30 [size=\"110783147\", alpha=\"0.04\", expect_size=\"33234944\"] \n  31 [size=\"164700160\", alpha=\"0.19\", expect_size=\"49410048\"] \n  31 -> 38 [size =\"49410048\"]\n  31 -> 39 [size =\"49410048\"]\n  32 [size=\"27910827\", alpha=\"0.11\", expect_size=\"8373248\"] \n  32 -> 38 [size =\"8373248\"]\n  32 -> 39 [size =\"8373248\"]\n  33 [size=\"82643627\", alpha=\"0.13\", expect_size=\"24793088\"] \n  33 -> 38 [size =\"24793088\"]\n  33 -> 39 [size =\"24793088\"]\n  33 -> 40 [size =\"24793088\"]\n  34 [size=\"23394987\", alpha=\"0.10\", expect_size=\"7018496\"] \n  35 [size=\"21548373\", alpha=\"0.13\", expect_size=\"6464512\"] \n  35 -> 38 [size =\"6464512\"]\n  35 -> 39 [size =\"6464512\"]\n  35 -> 40 [size =\"6464512\"]\n  36 [size=\"18759680\", alpha=\"0.03\", expect_size=\"5627904\"] \n  36 -> 38 [size =\"5627904\"]\n  36 -> 39 [size =\"5627904\"]\n  36 -> 40 [size =\"5627904\"]\n  37 [size=\"150814720\", alpha=\"0.18\", expect_size=\"45244416\"] \n  37 -> 38 [size =\"45244416\"]\n  37 -> 39 [size =\"45244416\"]\n  37 -> 40 [size =\"45244416\"]\n  38 [size=\"158255787\", alpha=\"0.04\", expect_size=\"47476736\"] \n  39 [size=\"30334293\", alpha=\"0.08\", expect_size=\"9100288\"] \n  40 [size=\"155293013\", alpha=\"0.04\", expect_size=\"46587904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53022720\", alpha=\"0.10\", expect_size=\"26511360\"] \n  1 -> 2 [size =\"26511360\"]\n  2 [size=\"13199360\", alpha=\"0.03\", expect_size=\"6599680\"] \n  2 -> 3 [size =\"6599680\"]\n  3 [size=\"10911744\", alpha=\"0.02\", expect_size=\"5455872\"] \n  3 -> 4 [size =\"5455872\"]\n  4 [size=\"54292480\", alpha=\"0.08\", expect_size=\"27146240\"] \n  4 -> 5 [size =\"27146240\"]\n  5 [size=\"59484160\", alpha=\"0.15\", expect_size=\"29742080\"] \n  5 -> 6 [size =\"29742080\"]\n  6 [size=\"34785280\", alpha=\"0.01\", expect_size=\"17392640\"] \n  6 -> 7 [size =\"17392640\"]\n  7 [size=\"55435264\", alpha=\"0.04\", expect_size=\"27717632\"] \n  7 -> 8 [size =\"27717632\"]\n  8 [size=\"13600768\", alpha=\"0.01\", expect_size=\"6800384\"] \n  8 -> 9 [size =\"6800384\"]\n  9 [size=\"71194624\", alpha=\"0.13\", expect_size=\"35597312\"] \n  9 -> 10 [size =\"35597312\"]\n  10 [size=\"82003968\", alpha=\"0.06\", expect_size=\"41001984\"] \n  10 -> 11 [size =\"41001984\"]\n  11 [size=\"19234816\", alpha=\"0.11\", expect_size=\"9617408\"] \n  11 -> 12 [size =\"9617408\"]\n  12 [size=\"68599808\", alpha=\"0.09\", expect_size=\"34299904\"] \n  12 -> 13 [size =\"34299904\"]\n  13 [size=\"80504832\", alpha=\"0.08\", expect_size=\"40252416\"] \n  13 -> 14 [size =\"40252416\"]\n  14 [size=\"91523072\", alpha=\"0.10\", expect_size=\"45761536\"] \n  14 -> 15 [size =\"45761536\"]\n  15 [size=\"34203648\", alpha=\"0.08\", expect_size=\"17101824\"] \n  15 -> 16 [size =\"17101824\"]\n  16 [size=\"12177408\", alpha=\"0.14\", expect_size=\"6088704\"] \n  16 -> 17 [size =\"6088704\"]\n  17 [size=\"16388096\", alpha=\"0.03\", expect_size=\"8194048\"] \n  17 -> 18 [size =\"8194048\"]\n  18 [size=\"36337664\", alpha=\"0.06\", expect_size=\"18168832\"] \n  18 -> 19 [size =\"18168832\"]\n  19 [size=\"40722432\", alpha=\"0.18\", expect_size=\"20361216\"] \n  19 -> 20 [size =\"20361216\"]\n  20 [size=\"103884800\", alpha=\"0.13\", expect_size=\"51942400\"] \n  20 -> 21 [size =\"51942400\"]\n  21 [size=\"39258112\", alpha=\"0.18\", expect_size=\"19629056\"] \n  21 -> 22 [size =\"19629056\"]\n  22 [size=\"90363904\", alpha=\"0.03\", expect_size=\"45181952\"] \n  22 -> 23 [size =\"45181952\"]\n  23 [size=\"39976960\", alpha=\"0.08\", expect_size=\"19988480\"] \n  23 -> 24 [size =\"19988480\"]\n  24 [size=\"76720128\", alpha=\"0.02\", expect_size=\"38360064\"] \n  24 -> 25 [size =\"38360064\"]\n  25 [size=\"30289920\", alpha=\"0.07\", expect_size=\"15144960\"] \n  25 -> 26 [size =\"15144960\"]\n  26 [size=\"67420160\", alpha=\"0.17\", expect_size=\"33710080\"] \n  26 -> 27 [size =\"33710080\"]\n  27 [size=\"37494784\", alpha=\"0.17\", expect_size=\"18747392\"] \n  27 -> 28 [size =\"18747392\"]\n  28 [size=\"50997248\", alpha=\"0.17\", expect_size=\"25498624\"] \n  28 -> 29 [size =\"25498624\"]\n  29 [size=\"80306176\", alpha=\"0.10\", expect_size=\"40153088\"] \n  29 -> 30 [size =\"40153088\"]\n  30 [size=\"70686720\", alpha=\"0.18\", expect_size=\"35343360\"] \n  30 -> 31 [size =\"35343360\"]\n  31 [size=\"39616512\", alpha=\"0.08\", expect_size=\"19808256\"] \n  31 -> 32 [size =\"19808256\"]\n  32 [size=\"29632512\", alpha=\"0.10\", expect_size=\"14816256\"] \n  32 -> 33 [size =\"14816256\"]\n  33 [size=\"43452416\", alpha=\"0.08\", expect_size=\"21726208\"] \n  33 -> 34 [size =\"21726208\"]\n  34 [size=\"81498112\", alpha=\"0.02\", expect_size=\"40749056\"] \n  34 -> 35 [size =\"40749056\"]\n  35 [size=\"93212672\", alpha=\"0.01\", expect_size=\"46606336\"] \n  35 -> 36 [size =\"46606336\"]\n  36 [size=\"33218560\", alpha=\"0.01\", expect_size=\"16609280\"] \n  36 -> 37 [size =\"16609280\"]\n  37 [size=\"20189184\", alpha=\"0.02\", expect_size=\"10094592\"] \n  37 -> 38 [size =\"10094592\"]\n  38 [size=\"99078144\", alpha=\"0.08\", expect_size=\"49539072\"] \n  38 -> 39 [size =\"49539072\"]\n  39 [size=\"84254720\", alpha=\"0.01\", expect_size=\"42127360\"] \n  39 -> 40 [size =\"42127360\"]\n  40 [size=\"36429824\", alpha=\"0.14\", expect_size=\"18214912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38348800\", alpha=\"0.00\", expect_size=\"15339520\"] \n  1 -> 8 [size =\"15339520\"]\n  1 -> 10 [size =\"15339520\"]\n  1 -> 13 [size =\"15339520\"]\n  2 [size=\"115517440\", alpha=\"0.08\", expect_size=\"46206976\"] \n  2 -> 8 [size =\"46206976\"]\n  2 -> 13 [size =\"46206976\"]\n  3 [size=\"117893120\", alpha=\"0.15\", expect_size=\"47157248\"] \n  3 -> 9 [size =\"47157248\"]\n  3 -> 11 [size =\"47157248\"]\n  3 -> 13 [size =\"47157248\"]\n  4 [size=\"66237440\", alpha=\"0.12\", expect_size=\"26494976\"] \n  4 -> 9 [size =\"26494976\"]\n  4 -> 10 [size =\"26494976\"]\n  4 -> 11 [size =\"26494976\"]\n  4 -> 13 [size =\"26494976\"]\n  5 [size=\"75084800\", alpha=\"0.04\", expect_size=\"30033920\"] \n  5 -> 9 [size =\"30033920\"]\n  6 [size=\"19338240\", alpha=\"0.14\", expect_size=\"7735296\"] \n  6 -> 8 [size =\"7735296\"]\n  6 -> 12 [size =\"7735296\"]\n  7 [size=\"47403520\", alpha=\"0.00\", expect_size=\"18961408\"] \n  7 -> 8 [size =\"18961408\"]\n  8 [size=\"68794880\", alpha=\"0.18\", expect_size=\"27517952\"] \n  9 [size=\"35013120\", alpha=\"0.13\", expect_size=\"14005248\"] \n  9 -> 16 [size =\"14005248\"]\n  9 -> 20 [size =\"14005248\"]\n  10 [size=\"117967360\", alpha=\"0.04\", expect_size=\"47186944\"] \n  10 -> 18 [size =\"47186944\"]\n  10 -> 19 [size =\"47186944\"]\n  11 [size=\"37096960\", alpha=\"0.14\", expect_size=\"14838784\"] \n  11 -> 14 [size =\"14838784\"]\n  11 -> 17 [size =\"14838784\"]\n  11 -> 18 [size =\"14838784\"]\n  11 -> 19 [size =\"14838784\"]\n  12 [size=\"38131200\", alpha=\"0.04\", expect_size=\"15252480\"] \n  12 -> 19 [size =\"15252480\"]\n  13 [size=\"87191040\", alpha=\"0.04\", expect_size=\"34876416\"] \n  13 -> 14 [size =\"34876416\"]\n  13 -> 15 [size =\"34876416\"]\n  13 -> 16 [size =\"34876416\"]\n  14 [size=\"57200640\", alpha=\"0.05\", expect_size=\"22880256\"] \n  14 -> 21 [size =\"22880256\"]\n  14 -> 25 [size =\"22880256\"]\n  15 [size=\"128931840\", alpha=\"0.07\", expect_size=\"51572736\"] \n  15 -> 24 [size =\"51572736\"]\n  15 -> 27 [size =\"51572736\"]\n  16 [size=\"35773440\", alpha=\"0.05\", expect_size=\"14309376\"] \n  16 -> 22 [size =\"14309376\"]\n  16 -> 24 [size =\"14309376\"]\n  17 [size=\"119367680\", alpha=\"0.12\", expect_size=\"47747072\"] \n  17 -> 21 [size =\"47747072\"]\n  17 -> 23 [size =\"47747072\"]\n  17 -> 26 [size =\"47747072\"]\n  18 [size=\"120993280\", alpha=\"0.12\", expect_size=\"48397312\"] \n  18 -> 21 [size =\"48397312\"]\n  19 [size=\"111272960\", alpha=\"0.05\", expect_size=\"44509184\"] \n  19 -> 21 [size =\"44509184\"]\n  19 -> 24 [size =\"44509184\"]\n  20 [size=\"68241920\", alpha=\"0.05\", expect_size=\"27296768\"] \n  21 [size=\"89735680\", alpha=\"0.09\", expect_size=\"35894272\"] \n  21 -> 30 [size =\"35894272\"]\n  21 -> 32 [size =\"35894272\"]\n  22 [size=\"53634560\", alpha=\"0.11\", expect_size=\"21453824\"] \n  22 -> 29 [size =\"21453824\"]\n  22 -> 32 [size =\"21453824\"]\n  23 [size=\"75072000\", alpha=\"0.10\", expect_size=\"30028800\"] \n  23 -> 28 [size =\"30028800\"]\n  23 -> 29 [size =\"30028800\"]\n  23 -> 31 [size =\"30028800\"]\n  24 [size=\"98908160\", alpha=\"0.19\", expect_size=\"39563264\"] \n  25 [size=\"130572800\", alpha=\"0.18\", expect_size=\"52229120\"] \n  25 -> 28 [size =\"52229120\"]\n  25 -> 29 [size =\"52229120\"]\n  25 -> 32 [size =\"52229120\"]\n  26 [size=\"51264000\", alpha=\"0.18\", expect_size=\"20505600\"] \n  26 -> 28 [size =\"20505600\"]\n  27 [size=\"80235520\", alpha=\"0.04\", expect_size=\"32094208\"] \n  27 -> 29 [size =\"32094208\"]\n  27 -> 30 [size =\"32094208\"]\n  27 -> 31 [size =\"32094208\"]\n  27 -> 32 [size =\"32094208\"]\n  28 [size=\"33505280\", alpha=\"0.19\", expect_size=\"13402112\"] \n  28 -> 36 [size =\"13402112\"]\n  29 [size=\"106984960\", alpha=\"0.18\", expect_size=\"42793984\"] \n  29 -> 33 [size =\"42793984\"]\n  29 -> 38 [size =\"42793984\"]\n  30 [size=\"15984640\", alpha=\"0.15\", expect_size=\"6393856\"] \n  30 -> 34 [size =\"6393856\"]\n  30 -> 35 [size =\"6393856\"]\n  30 -> 36 [size =\"6393856\"]\n  30 -> 37 [size =\"6393856\"]\n  31 [size=\"43338240\", alpha=\"0.16\", expect_size=\"17335296\"] \n  32 [size=\"96317440\", alpha=\"0.01\", expect_size=\"38526976\"] \n  32 -> 35 [size =\"38526976\"]\n  32 -> 37 [size =\"38526976\"]\n  33 [size=\"41405440\", alpha=\"0.18\", expect_size=\"16562176\"] \n  33 -> 39 [size =\"16562176\"]\n  34 [size=\"101355520\", alpha=\"0.03\", expect_size=\"40542208\"] \n  34 -> 39 [size =\"40542208\"]\n  34 -> 40 [size =\"40542208\"]\n  35 [size=\"93368320\", alpha=\"0.08\", expect_size=\"37347328\"] \n  35 -> 40 [size =\"37347328\"]\n  36 [size=\"79421440\", alpha=\"0.17\", expect_size=\"31768576\"] \n  36 -> 40 [size =\"31768576\"]\n  37 [size=\"65745920\", alpha=\"0.03\", expect_size=\"26298368\"] \n  37 -> 39 [size =\"26298368\"]\n  38 [size=\"86640640\", alpha=\"0.08\", expect_size=\"34656256\"] \n  39 [size=\"79825920\", alpha=\"0.10\", expect_size=\"31930368\"] \n  40 [size=\"67212800\", alpha=\"0.01\", expect_size=\"26885120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90101760\", alpha=\"0.10\", expect_size=\"36040704\"] \n  1 -> 14 [size =\"36040704\"]\n  1 -> 16 [size =\"36040704\"]\n  1 -> 17 [size =\"36040704\"]\n  1 -> 19 [size =\"36040704\"]\n  1 -> 20 [size =\"36040704\"]\n  1 -> 24 [size =\"36040704\"]\n  2 [size=\"25996800\", alpha=\"0.19\", expect_size=\"10398720\"] \n  2 -> 14 [size =\"10398720\"]\n  2 -> 16 [size =\"10398720\"]\n  3 [size=\"24284160\", alpha=\"0.17\", expect_size=\"9713664\"] \n  3 -> 14 [size =\"9713664\"]\n  3 -> 16 [size =\"9713664\"]\n  3 -> 18 [size =\"9713664\"]\n  3 -> 24 [size =\"9713664\"]\n  3 -> 26 [size =\"9713664\"]\n  4 [size=\"107008000\", alpha=\"0.18\", expect_size=\"42803200\"] \n  4 -> 13 [size =\"42803200\"]\n  4 -> 14 [size =\"42803200\"]\n  4 -> 18 [size =\"42803200\"]\n  4 -> 19 [size =\"42803200\"]\n  4 -> 20 [size =\"42803200\"]\n  4 -> 23 [size =\"42803200\"]\n  4 -> 25 [size =\"42803200\"]\n  5 [size=\"54986240\", alpha=\"0.17\", expect_size=\"21994496\"] \n  5 -> 17 [size =\"21994496\"]\n  5 -> 21 [size =\"21994496\"]\n  5 -> 23 [size =\"21994496\"]\n  5 -> 24 [size =\"21994496\"]\n  6 [size=\"14359040\", alpha=\"0.13\", expect_size=\"5743616\"] \n  6 -> 16 [size =\"5743616\"]\n  6 -> 18 [size =\"5743616\"]\n  6 -> 24 [size =\"5743616\"]\n  6 -> 26 [size =\"5743616\"]\n  7 [size=\"91217920\", alpha=\"0.14\", expect_size=\"36487168\"] \n  7 -> 16 [size =\"36487168\"]\n  7 -> 20 [size =\"36487168\"]\n  8 [size=\"113384960\", alpha=\"0.02\", expect_size=\"45353984\"] \n  8 -> 15 [size =\"45353984\"]\n  8 -> 23 [size =\"45353984\"]\n  8 -> 26 [size =\"45353984\"]\n  9 [size=\"112268800\", alpha=\"0.15\", expect_size=\"44907520\"] \n  9 -> 13 [size =\"44907520\"]\n  9 -> 14 [size =\"44907520\"]\n  9 -> 16 [size =\"44907520\"]\n  9 -> 18 [size =\"44907520\"]\n  10 [size=\"23784960\", alpha=\"0.09\", expect_size=\"9513984\"] \n  10 -> 15 [size =\"9513984\"]\n  10 -> 24 [size =\"9513984\"]\n  11 [size=\"64960000\", alpha=\"0.07\", expect_size=\"25984000\"] \n  11 -> 18 [size =\"25984000\"]\n  11 -> 22 [size =\"25984000\"]\n  12 [size=\"121863680\", alpha=\"0.14\", expect_size=\"48745472\"] \n  12 -> 14 [size =\"48745472\"]\n  12 -> 16 [size =\"48745472\"]\n  12 -> 18 [size =\"48745472\"]\n  12 -> 23 [size =\"48745472\"]\n  12 -> 24 [size =\"48745472\"]\n  13 [size=\"113512960\", alpha=\"0.14\", expect_size=\"45405184\"] \n  13 -> 30 [size =\"45405184\"]\n  13 -> 35 [size =\"45405184\"]\n  13 -> 39 [size =\"45405184\"]\n  14 [size=\"98631680\", alpha=\"0.06\", expect_size=\"39452672\"] \n  14 -> 28 [size =\"39452672\"]\n  14 -> 29 [size =\"39452672\"]\n  14 -> 35 [size =\"39452672\"]\n  14 -> 36 [size =\"39452672\"]\n  15 [size=\"85301760\", alpha=\"0.06\", expect_size=\"34120704\"] \n  15 -> 28 [size =\"34120704\"]\n  15 -> 31 [size =\"34120704\"]\n  15 -> 33 [size =\"34120704\"]\n  15 -> 34 [size =\"34120704\"]\n  15 -> 35 [size =\"34120704\"]\n  15 -> 36 [size =\"34120704\"]\n  16 [size=\"66035200\", alpha=\"0.14\", expect_size=\"26414080\"] \n  16 -> 34 [size =\"26414080\"]\n  16 -> 36 [size =\"26414080\"]\n  16 -> 39 [size =\"26414080\"]\n  17 [size=\"25029120\", alpha=\"0.16\", expect_size=\"10011648\"] \n  17 -> 34 [size =\"10011648\"]\n  18 [size=\"105768960\", alpha=\"0.10\", expect_size=\"42307584\"] \n  18 -> 30 [size =\"42307584\"]\n  18 -> 37 [size =\"42307584\"]\n  18 -> 39 [size =\"42307584\"]\n  19 [size=\"116920320\", alpha=\"0.16\", expect_size=\"46768128\"] \n  19 -> 28 [size =\"46768128\"]\n  19 -> 30 [size =\"46768128\"]\n  19 -> 33 [size =\"46768128\"]\n  19 -> 36 [size =\"46768128\"]\n  19 -> 38 [size =\"46768128\"]\n  19 -> 39 [size =\"46768128\"]\n  20 [size=\"89873920\", alpha=\"0.01\", expect_size=\"35949568\"] \n  20 -> 28 [size =\"35949568\"]\n  20 -> 30 [size =\"35949568\"]\n  20 -> 31 [size =\"35949568\"]\n  21 [size=\"22213120\", alpha=\"0.20\", expect_size=\"8885248\"] \n  21 -> 27 [size =\"8885248\"]\n  21 -> 30 [size =\"8885248\"]\n  21 -> 32 [size =\"8885248\"]\n  21 -> 34 [size =\"8885248\"]\n  21 -> 35 [size =\"8885248\"]\n  21 -> 39 [size =\"8885248\"]\n  22 [size=\"65694720\", alpha=\"0.00\", expect_size=\"26277888\"] \n  22 -> 34 [size =\"26277888\"]\n  22 -> 35 [size =\"26277888\"]\n  22 -> 36 [size =\"26277888\"]\n  22 -> 39 [size =\"26277888\"]\n  23 [size=\"29780480\", alpha=\"0.03\", expect_size=\"11912192\"] \n  23 -> 29 [size =\"11912192\"]\n  23 -> 35 [size =\"11912192\"]\n  23 -> 38 [size =\"11912192\"]\n  24 [size=\"112655360\", alpha=\"0.01\", expect_size=\"45062144\"] \n  24 -> 28 [size =\"45062144\"]\n  24 -> 29 [size =\"45062144\"]\n  24 -> 34 [size =\"45062144\"]\n  24 -> 37 [size =\"45062144\"]\n  24 -> 38 [size =\"45062144\"]\n  25 [size=\"28065280\", alpha=\"0.07\", expect_size=\"11226112\"] \n  25 -> 28 [size =\"11226112\"]\n  25 -> 34 [size =\"11226112\"]\n  25 -> 36 [size =\"11226112\"]\n  25 -> 38 [size =\"11226112\"]\n  26 [size=\"62883840\", alpha=\"0.13\", expect_size=\"25153536\"] \n  26 -> 36 [size =\"25153536\"]\n  27 [size=\"28400640\", alpha=\"0.12\", expect_size=\"11360256\"] \n  27 -> 40 [size =\"11360256\"]\n  28 [size=\"124469760\", alpha=\"0.08\", expect_size=\"49787904\"] \n  29 [size=\"65564160\", alpha=\"0.01\", expect_size=\"26225664\"] \n  30 [size=\"39818240\", alpha=\"0.16\", expect_size=\"15927296\"] \n  31 [size=\"46274560\", alpha=\"0.19\", expect_size=\"18509824\"] \n  32 [size=\"43960320\", alpha=\"0.01\", expect_size=\"17584128\"] \n  33 [size=\"45767680\", alpha=\"0.20\", expect_size=\"18307072\"] \n  34 [size=\"62876160\", alpha=\"0.13\", expect_size=\"25150464\"] \n  35 [size=\"71221760\", alpha=\"0.19\", expect_size=\"28488704\"] \n  36 [size=\"112686080\", alpha=\"0.14\", expect_size=\"45074432\"] \n  37 [size=\"70558720\", alpha=\"0.10\", expect_size=\"28223488\"] \n  38 [size=\"22952960\", alpha=\"0.03\", expect_size=\"9181184\"] \n  39 [size=\"70144000\", alpha=\"0.13\", expect_size=\"28057600\"] \n  40 [size=\"75371520\", alpha=\"0.16\", expect_size=\"30148608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87408640\", alpha=\"0.02\", expect_size=\"26222592\"] \n  1 -> 6 [size =\"26222592\"]\n  2 [size=\"70758400\", alpha=\"0.08\", expect_size=\"21227520\"] \n  2 -> 8 [size =\"21227520\"]\n  2 -> 9 [size =\"21227520\"]\n  2 -> 10 [size =\"21227520\"]\n  3 [size=\"28986027\", alpha=\"0.15\", expect_size=\"8695808\"] \n  3 -> 7 [size =\"8695808\"]\n  3 -> 9 [size =\"8695808\"]\n  4 [size=\"25695573\", alpha=\"0.07\", expect_size=\"7708672\"] \n  4 -> 7 [size =\"7708672\"]\n  4 -> 9 [size =\"7708672\"]\n  4 -> 10 [size =\"7708672\"]\n  5 [size=\"28637867\", alpha=\"0.02\", expect_size=\"8591360\"] \n  5 -> 6 [size =\"8591360\"]\n  6 [size=\"153589760\", alpha=\"0.07\", expect_size=\"46076928\"] \n  6 -> 12 [size =\"46076928\"]\n  6 -> 13 [size =\"46076928\"]\n  7 [size=\"115858773\", alpha=\"0.01\", expect_size=\"34757632\"] \n  8 [size=\"164113067\", alpha=\"0.10\", expect_size=\"49233920\"] \n  8 -> 14 [size =\"49233920\"]\n  9 [size=\"57569280\", alpha=\"0.00\", expect_size=\"17270784\"] \n  9 -> 11 [size =\"17270784\"]\n  9 -> 15 [size =\"17270784\"]\n  10 [size=\"140339200\", alpha=\"0.04\", expect_size=\"42101760\"] \n  10 -> 11 [size =\"42101760\"]\n  10 -> 16 [size =\"42101760\"]\n  11 [size=\"94078293\", alpha=\"0.17\", expect_size=\"28223488\"] \n  11 -> 19 [size =\"28223488\"]\n  12 [size=\"113186133\", alpha=\"0.10\", expect_size=\"33955840\"] \n  12 -> 18 [size =\"33955840\"]\n  13 [size=\"20210347\", alpha=\"0.17\", expect_size=\"6063104\"] \n  13 -> 18 [size =\"6063104\"]\n  13 -> 19 [size =\"6063104\"]\n  13 -> 21 [size =\"6063104\"]\n  14 [size=\"134929067\", alpha=\"0.11\", expect_size=\"40478720\"] \n  14 -> 17 [size =\"40478720\"]\n  14 -> 19 [size =\"40478720\"]\n  15 [size=\"32314027\", alpha=\"0.17\", expect_size=\"9694208\"] \n  15 -> 17 [size =\"9694208\"]\n  15 -> 21 [size =\"9694208\"]\n  16 [size=\"45469013\", alpha=\"0.10\", expect_size=\"13640704\"] \n  16 -> 18 [size =\"13640704\"]\n  16 -> 20 [size =\"13640704\"]\n  17 [size=\"96993280\", alpha=\"0.10\", expect_size=\"29097984\"] \n  17 -> 23 [size =\"29097984\"]\n  17 -> 26 [size =\"29097984\"]\n  17 -> 27 [size =\"29097984\"]\n  18 [size=\"104567467\", alpha=\"0.01\", expect_size=\"31370240\"] \n  18 -> 23 [size =\"31370240\"]\n  18 -> 25 [size =\"31370240\"]\n  18 -> 26 [size =\"31370240\"]\n  19 [size=\"28921173\", alpha=\"0.07\", expect_size=\"8676352\"] \n  19 -> 24 [size =\"8676352\"]\n  20 [size=\"31013547\", alpha=\"0.10\", expect_size=\"9304064\"] \n  20 -> 22 [size =\"9304064\"]\n  21 [size=\"66194773\", alpha=\"0.03\", expect_size=\"19858432\"] \n  22 [size=\"39348907\", alpha=\"0.02\", expect_size=\"11804672\"] \n  23 [size=\"120227840\", alpha=\"0.03\", expect_size=\"36068352\"] \n  23 -> 28 [size =\"36068352\"]\n  23 -> 30 [size =\"36068352\"]\n  23 -> 33 [size =\"36068352\"]\n  24 [size=\"93573120\", alpha=\"0.05\", expect_size=\"28071936\"] \n  24 -> 30 [size =\"28071936\"]\n  25 [size=\"25265493\", alpha=\"0.08\", expect_size=\"7579648\"] \n  25 -> 30 [size =\"7579648\"]\n  25 -> 31 [size =\"7579648\"]\n  26 [size=\"157538987\", alpha=\"0.08\", expect_size=\"47261696\"] \n  26 -> 29 [size =\"47261696\"]\n  26 -> 32 [size =\"47261696\"]\n  26 -> 33 [size =\"47261696\"]\n  26 -> 34 [size =\"47261696\"]\n  27 [size=\"79185920\", alpha=\"0.02\", expect_size=\"23755776\"] \n  27 -> 29 [size =\"23755776\"]\n  27 -> 32 [size =\"23755776\"]\n  28 [size=\"159078400\", alpha=\"0.13\", expect_size=\"47723520\"] \n  28 -> 35 [size =\"47723520\"]\n  28 -> 36 [size =\"47723520\"]\n  29 [size=\"164618240\", alpha=\"0.10\", expect_size=\"49385472\"] \n  30 [size=\"58948267\", alpha=\"0.02\", expect_size=\"17684480\"] \n  30 -> 37 [size =\"17684480\"]\n  30 -> 38 [size =\"17684480\"]\n  31 [size=\"139243520\", alpha=\"0.05\", expect_size=\"41773056\"] \n  31 -> 38 [size =\"41773056\"]\n  32 [size=\"160863573\", alpha=\"0.19\", expect_size=\"48259072\"] \n  32 -> 38 [size =\"48259072\"]\n  33 [size=\"19810987\", alpha=\"0.14\", expect_size=\"5943296\"] \n  34 [size=\"42164907\", alpha=\"0.03\", expect_size=\"12649472\"] \n  34 -> 36 [size =\"12649472\"]\n  34 -> 38 [size =\"12649472\"]\n  35 [size=\"78865067\", alpha=\"0.15\", expect_size=\"23659520\"] \n  36 [size=\"141073067\", alpha=\"0.10\", expect_size=\"42321920\"] \n  37 [size=\"50333013\", alpha=\"0.15\", expect_size=\"15099904\"] \n  37 -> 39 [size =\"15099904\"]\n  37 -> 40 [size =\"15099904\"]\n  38 [size=\"62313813\", alpha=\"0.11\", expect_size=\"18694144\"] \n  38 -> 39 [size =\"18694144\"]\n  38 -> 40 [size =\"18694144\"]\n  39 [size=\"166365867\", alpha=\"0.09\", expect_size=\"49909760\"] \n  40 [size=\"88016213\", alpha=\"0.08\", expect_size=\"26404864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115932160\", alpha=\"0.18\", expect_size=\"46372864\"] \n  1 -> 25 [size =\"46372864\"]\n  1 -> 26 [size =\"46372864\"]\n  1 -> 27 [size =\"46372864\"]\n  1 -> 28 [size =\"46372864\"]\n  1 -> 29 [size =\"46372864\"]\n  1 -> 30 [size =\"46372864\"]\n  1 -> 35 [size =\"46372864\"]\n  1 -> 36 [size =\"46372864\"]\n  1 -> 38 [size =\"46372864\"]\n  2 [size=\"111249920\", alpha=\"0.06\", expect_size=\"44499968\"] \n  2 -> 22 [size =\"44499968\"]\n  2 -> 25 [size =\"44499968\"]\n  2 -> 29 [size =\"44499968\"]\n  2 -> 30 [size =\"44499968\"]\n  2 -> 35 [size =\"44499968\"]\n  2 -> 39 [size =\"44499968\"]\n  3 [size=\"78784000\", alpha=\"0.13\", expect_size=\"31513600\"] \n  3 -> 25 [size =\"31513600\"]\n  3 -> 25 [size =\"31513600\"]\n  3 -> 27 [size =\"31513600\"]\n  3 -> 29 [size =\"31513600\"]\n  3 -> 30 [size =\"31513600\"]\n  3 -> 32 [size =\"31513600\"]\n  3 -> 34 [size =\"31513600\"]\n  3 -> 35 [size =\"31513600\"]\n  3 -> 40 [size =\"31513600\"]\n  4 [size=\"91432960\", alpha=\"0.00\", expect_size=\"36573184\"] \n  4 -> 25 [size =\"36573184\"]\n  4 -> 28 [size =\"36573184\"]\n  4 -> 29 [size =\"36573184\"]\n  4 -> 30 [size =\"36573184\"]\n  4 -> 33 [size =\"36573184\"]\n  4 -> 34 [size =\"36573184\"]\n  4 -> 36 [size =\"36573184\"]\n  5 [size=\"78947840\", alpha=\"0.12\", expect_size=\"31579136\"] \n  5 -> 25 [size =\"31579136\"]\n  5 -> 26 [size =\"31579136\"]\n  5 -> 27 [size =\"31579136\"]\n  5 -> 29 [size =\"31579136\"]\n  5 -> 30 [size =\"31579136\"]\n  5 -> 32 [size =\"31579136\"]\n  5 -> 35 [size =\"31579136\"]\n  6 [size=\"22886400\", alpha=\"0.13\", expect_size=\"9154560\"] \n  6 -> 25 [size =\"9154560\"]\n  6 -> 26 [size =\"9154560\"]\n  6 -> 27 [size =\"9154560\"]\n  6 -> 29 [size =\"9154560\"]\n  6 -> 34 [size =\"9154560\"]\n  6 -> 35 [size =\"9154560\"]\n  6 -> 38 [size =\"9154560\"]\n  6 -> 40 [size =\"9154560\"]\n  7 [size=\"97830400\", alpha=\"0.20\", expect_size=\"39132160\"] \n  7 -> 23 [size =\"39132160\"]\n  7 -> 25 [size =\"39132160\"]\n  7 -> 26 [size =\"39132160\"]\n  7 -> 27 [size =\"39132160\"]\n  7 -> 28 [size =\"39132160\"]\n  7 -> 32 [size =\"39132160\"]\n  7 -> 34 [size =\"39132160\"]\n  7 -> 39 [size =\"39132160\"]\n  8 [size=\"26155520\", alpha=\"0.06\", expect_size=\"10462208\"] \n  8 -> 28 [size =\"10462208\"]\n  8 -> 30 [size =\"10462208\"]\n  8 -> 31 [size =\"10462208\"]\n  8 -> 32 [size =\"10462208\"]\n  8 -> 35 [size =\"10462208\"]\n  8 -> 39 [size =\"10462208\"]\n  8 -> 40 [size =\"10462208\"]\n  9 [size=\"18831360\", alpha=\"0.05\", expect_size=\"7532544\"] \n  9 -> 26 [size =\"7532544\"]\n  9 -> 27 [size =\"7532544\"]\n  9 -> 28 [size =\"7532544\"]\n  9 -> 29 [size =\"7532544\"]\n  9 -> 35 [size =\"7532544\"]\n  9 -> 38 [size =\"7532544\"]\n  10 [size=\"20661760\", alpha=\"0.08\", expect_size=\"8264704\"] \n  10 -> 22 [size =\"8264704\"]\n  10 -> 24 [size =\"8264704\"]\n  10 -> 27 [size =\"8264704\"]\n  10 -> 28 [size =\"8264704\"]\n  10 -> 34 [size =\"8264704\"]\n  10 -> 38 [size =\"8264704\"]\n  11 [size=\"38282240\", alpha=\"0.01\", expect_size=\"15312896\"] \n  11 -> 28 [size =\"15312896\"]\n  11 -> 33 [size =\"15312896\"]\n  11 -> 34 [size =\"15312896\"]\n  11 -> 38 [size =\"15312896\"]\n  12 [size=\"25889280\", alpha=\"0.20\", expect_size=\"10355712\"] \n  12 -> 22 [size =\"10355712\"]\n  12 -> 25 [size =\"10355712\"]\n  12 -> 28 [size =\"10355712\"]\n  12 -> 33 [size =\"10355712\"]\n  12 -> 35 [size =\"10355712\"]\n  12 -> 36 [size =\"10355712\"]\n  12 -> 38 [size =\"10355712\"]\n  13 [size=\"60879360\", alpha=\"0.15\", expect_size=\"24351744\"] \n  13 -> 22 [size =\"24351744\"]\n  13 -> 27 [size =\"24351744\"]\n  13 -> 29 [size =\"24351744\"]\n  13 -> 33 [size =\"24351744\"]\n  13 -> 35 [size =\"24351744\"]\n  13 -> 36 [size =\"24351744\"]\n  13 -> 38 [size =\"24351744\"]\n  13 -> 39 [size =\"24351744\"]\n  14 [size=\"18547200\", alpha=\"0.05\", expect_size=\"7418880\"] \n  14 -> 22 [size =\"7418880\"]\n  14 -> 29 [size =\"7418880\"]\n  14 -> 32 [size =\"7418880\"]\n  14 -> 34 [size =\"7418880\"]\n  14 -> 36 [size =\"7418880\"]\n  15 [size=\"20103680\", alpha=\"0.10\", expect_size=\"8041472\"] \n  15 -> 22 [size =\"8041472\"]\n  15 -> 26 [size =\"8041472\"]\n  15 -> 28 [size =\"8041472\"]\n  15 -> 29 [size =\"8041472\"]\n  15 -> 32 [size =\"8041472\"]\n  16 [size=\"90101760\", alpha=\"0.02\", expect_size=\"36040704\"] \n  16 -> 22 [size =\"36040704\"]\n  16 -> 26 [size =\"36040704\"]\n  16 -> 29 [size =\"36040704\"]\n  16 -> 32 [size =\"36040704\"]\n  16 -> 34 [size =\"36040704\"]\n  16 -> 36 [size =\"36040704\"]\n  16 -> 39 [size =\"36040704\"]\n  16 -> 40 [size =\"36040704\"]\n  17 [size=\"51425280\", alpha=\"0.20\", expect_size=\"20570112\"] \n  17 -> 28 [size =\"20570112\"]\n  17 -> 29 [size =\"20570112\"]\n  17 -> 34 [size =\"20570112\"]\n  17 -> 36 [size =\"20570112\"]\n  18 [size=\"50268160\", alpha=\"0.12\", expect_size=\"20107264\"] \n  18 -> 22 [size =\"20107264\"]\n  18 -> 24 [size =\"20107264\"]\n  18 -> 29 [size =\"20107264\"]\n  18 -> 30 [size =\"20107264\"]\n  18 -> 33 [size =\"20107264\"]\n  18 -> 36 [size =\"20107264\"]\n  18 -> 39 [size =\"20107264\"]\n  19 [size=\"84142080\", alpha=\"0.10\", expect_size=\"33656832\"] \n  19 -> 30 [size =\"33656832\"]\n  19 -> 33 [size =\"33656832\"]\n  19 -> 34 [size =\"33656832\"]\n  19 -> 36 [size =\"33656832\"]\n  19 -> 39 [size =\"33656832\"]\n  19 -> 40 [size =\"33656832\"]\n  20 [size=\"111769600\", alpha=\"0.06\", expect_size=\"44707840\"] \n  20 -> 30 [size =\"44707840\"]\n  20 -> 33 [size =\"44707840\"]\n  20 -> 34 [size =\"44707840\"]\n  20 -> 36 [size =\"44707840\"]\n  20 -> 37 [size =\"44707840\"]\n  20 -> 39 [size =\"44707840\"]\n  21 [size=\"43571200\", alpha=\"0.18\", expect_size=\"17428480\"] \n  21 -> 26 [size =\"17428480\"]\n  21 -> 28 [size =\"17428480\"]\n  21 -> 31 [size =\"17428480\"]\n  21 -> 32 [size =\"17428480\"]\n  21 -> 33 [size =\"17428480\"]\n  22 [size=\"50219520\", alpha=\"0.08\", expect_size=\"20087808\"] \n  23 [size=\"48898560\", alpha=\"0.08\", expect_size=\"19559424\"] \n  24 [size=\"21048320\", alpha=\"0.02\", expect_size=\"8419328\"] \n  25 [size=\"50734080\", alpha=\"0.07\", expect_size=\"20293632\"] \n  26 [size=\"108254720\", alpha=\"0.13\", expect_size=\"43301888\"] \n  27 [size=\"121213440\", alpha=\"0.14\", expect_size=\"48485376\"] \n  28 [size=\"120573440\", alpha=\"0.17\", expect_size=\"48229376\"] \n  29 [size=\"75281920\", alpha=\"0.01\", expect_size=\"30112768\"] \n  30 [size=\"18078720\", alpha=\"0.07\", expect_size=\"7231488\"] \n  31 [size=\"50757120\", alpha=\"0.16\", expect_size=\"20302848\"] \n  32 [size=\"40209920\", alpha=\"0.08\", expect_size=\"16083968\"] \n  33 [size=\"84579840\", alpha=\"0.08\", expect_size=\"33831936\"] \n  34 [size=\"13619200\", alpha=\"0.09\", expect_size=\"5447680\"] \n  35 [size=\"23621120\", alpha=\"0.11\", expect_size=\"9448448\"] \n  36 [size=\"62456320\", alpha=\"0.06\", expect_size=\"24982528\"] \n  37 [size=\"21946880\", alpha=\"0.08\", expect_size=\"8778752\"] \n  38 [size=\"104780800\", alpha=\"0.15\", expect_size=\"41912320\"] \n  39 [size=\"88079360\", alpha=\"0.15\", expect_size=\"35231744\"] \n  40 [size=\"95531520\", alpha=\"0.12\", expect_size=\"38212608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83941376\", alpha=\"0.06\", expect_size=\"41970688\"] \n  1 -> 20 [size =\"41970688\"]\n  1 -> 25 [size =\"41970688\"]\n  1 -> 29 [size =\"41970688\"]\n  2 [size=\"72667136\", alpha=\"0.03\", expect_size=\"36333568\"] \n  2 -> 19 [size =\"36333568\"]\n  2 -> 32 [size =\"36333568\"]\n  3 [size=\"52924416\", alpha=\"0.20\", expect_size=\"26462208\"] \n  3 -> 18 [size =\"26462208\"]\n  3 -> 20 [size =\"26462208\"]\n  3 -> 25 [size =\"26462208\"]\n  3 -> 32 [size =\"26462208\"]\n  4 [size=\"85665792\", alpha=\"0.01\", expect_size=\"42832896\"] \n  4 -> 18 [size =\"42832896\"]\n  4 -> 20 [size =\"42832896\"]\n  4 -> 32 [size =\"42832896\"]\n  5 [size=\"73027584\", alpha=\"0.02\", expect_size=\"36513792\"] \n  5 -> 18 [size =\"36513792\"]\n  5 -> 20 [size =\"36513792\"]\n  5 -> 22 [size =\"36513792\"]\n  5 -> 29 [size =\"36513792\"]\n  5 -> 32 [size =\"36513792\"]\n  6 [size=\"59338752\", alpha=\"0.07\", expect_size=\"29669376\"] \n  6 -> 17 [size =\"29669376\"]\n  6 -> 22 [size =\"29669376\"]\n  6 -> 25 [size =\"29669376\"]\n  6 -> 27 [size =\"29669376\"]\n  6 -> 30 [size =\"29669376\"]\n  7 [size=\"10850304\", alpha=\"0.17\", expect_size=\"5425152\"] \n  7 -> 22 [size =\"5425152\"]\n  7 -> 24 [size =\"5425152\"]\n  7 -> 25 [size =\"5425152\"]\n  7 -> 28 [size =\"5425152\"]\n  8 [size=\"66480128\", alpha=\"0.10\", expect_size=\"33240064\"] \n  8 -> 19 [size =\"33240064\"]\n  8 -> 20 [size =\"33240064\"]\n  8 -> 24 [size =\"33240064\"]\n  8 -> 32 [size =\"33240064\"]\n  9 [size=\"86450176\", alpha=\"0.14\", expect_size=\"43225088\"] \n  9 -> 20 [size =\"43225088\"]\n  9 -> 26 [size =\"43225088\"]\n  9 -> 30 [size =\"43225088\"]\n  9 -> 32 [size =\"43225088\"]\n  10 [size=\"58757120\", alpha=\"0.14\", expect_size=\"29378560\"] \n  10 -> 17 [size =\"29378560\"]\n  10 -> 23 [size =\"29378560\"]\n  10 -> 26 [size =\"29378560\"]\n  10 -> 27 [size =\"29378560\"]\n  10 -> 29 [size =\"29378560\"]\n  10 -> 32 [size =\"29378560\"]\n  11 [size=\"56864768\", alpha=\"0.09\", expect_size=\"28432384\"] \n  11 -> 18 [size =\"28432384\"]\n  11 -> 22 [size =\"28432384\"]\n  11 -> 23 [size =\"28432384\"]\n  11 -> 24 [size =\"28432384\"]\n  11 -> 25 [size =\"28432384\"]\n  11 -> 27 [size =\"28432384\"]\n  11 -> 29 [size =\"28432384\"]\n  11 -> 30 [size =\"28432384\"]\n  11 -> 32 [size =\"28432384\"]\n  12 [size=\"83015680\", alpha=\"0.07\", expect_size=\"41507840\"] \n  12 -> 17 [size =\"41507840\"]\n  12 -> 18 [size =\"41507840\"]\n  12 -> 20 [size =\"41507840\"]\n  12 -> 21 [size =\"41507840\"]\n  12 -> 23 [size =\"41507840\"]\n  12 -> 24 [size =\"41507840\"]\n  12 -> 25 [size =\"41507840\"]\n  12 -> 27 [size =\"41507840\"]\n  12 -> 30 [size =\"41507840\"]\n  13 [size=\"99229696\", alpha=\"0.10\", expect_size=\"49614848\"] \n  13 -> 17 [size =\"49614848\"]\n  13 -> 18 [size =\"49614848\"]\n  13 -> 19 [size =\"49614848\"]\n  13 -> 24 [size =\"49614848\"]\n  13 -> 27 [size =\"49614848\"]\n  13 -> 31 [size =\"49614848\"]\n  14 [size=\"98523136\", alpha=\"0.02\", expect_size=\"49261568\"] \n  14 -> 22 [size =\"49261568\"]\n  14 -> 27 [size =\"49261568\"]\n  14 -> 29 [size =\"49261568\"]\n  15 [size=\"102952960\", alpha=\"0.12\", expect_size=\"51476480\"] \n  15 -> 17 [size =\"51476480\"]\n  15 -> 23 [size =\"51476480\"]\n  15 -> 24 [size =\"51476480\"]\n  15 -> 27 [size =\"51476480\"]\n  15 -> 29 [size =\"51476480\"]\n  16 [size=\"19716096\", alpha=\"0.02\", expect_size=\"9858048\"] \n  16 -> 17 [size =\"9858048\"]\n  16 -> 18 [size =\"9858048\"]\n  16 -> 20 [size =\"9858048\"]\n  16 -> 24 [size =\"9858048\"]\n  16 -> 27 [size =\"9858048\"]\n  16 -> 29 [size =\"9858048\"]\n  17 [size=\"54693888\", alpha=\"0.10\", expect_size=\"27346944\"] \n  17 -> 34 [size =\"27346944\"]\n  17 -> 39 [size =\"27346944\"]\n  18 [size=\"41664512\", alpha=\"0.15\", expect_size=\"20832256\"] \n  18 -> 33 [size =\"20832256\"]\n  18 -> 36 [size =\"20832256\"]\n  18 -> 37 [size =\"20832256\"]\n  19 [size=\"86849536\", alpha=\"0.14\", expect_size=\"43424768\"] \n  19 -> 37 [size =\"43424768\"]\n  19 -> 39 [size =\"43424768\"]\n  19 -> 40 [size =\"43424768\"]\n  20 [size=\"58955776\", alpha=\"0.11\", expect_size=\"29477888\"] \n  20 -> 34 [size =\"29477888\"]\n  20 -> 36 [size =\"29477888\"]\n  20 -> 40 [size =\"29477888\"]\n  21 [size=\"28981248\", alpha=\"0.03\", expect_size=\"14490624\"] \n  21 -> 34 [size =\"14490624\"]\n  21 -> 37 [size =\"14490624\"]\n  22 [size=\"71286784\", alpha=\"0.09\", expect_size=\"35643392\"] \n  22 -> 33 [size =\"35643392\"]\n  22 -> 37 [size =\"35643392\"]\n  22 -> 38 [size =\"35643392\"]\n  22 -> 39 [size =\"35643392\"]\n  22 -> 40 [size =\"35643392\"]\n  23 [size=\"103231488\", alpha=\"0.03\", expect_size=\"51615744\"] \n  23 -> 34 [size =\"51615744\"]\n  23 -> 36 [size =\"51615744\"]\n  24 [size=\"56322048\", alpha=\"0.14\", expect_size=\"28161024\"] \n  24 -> 33 [size =\"28161024\"]\n  25 [size=\"68118528\", alpha=\"0.17\", expect_size=\"34059264\"] \n  25 -> 33 [size =\"34059264\"]\n  25 -> 35 [size =\"34059264\"]\n  26 [size=\"29245440\", alpha=\"0.11\", expect_size=\"14622720\"] \n  26 -> 33 [size =\"14622720\"]\n  26 -> 37 [size =\"14622720\"]\n  26 -> 39 [size =\"14622720\"]\n  26 -> 40 [size =\"14622720\"]\n  27 [size=\"37914624\", alpha=\"0.06\", expect_size=\"18957312\"] \n  27 -> 36 [size =\"18957312\"]\n  28 [size=\"84856832\", alpha=\"0.12\", expect_size=\"42428416\"] \n  28 -> 38 [size =\"42428416\"]\n  28 -> 39 [size =\"42428416\"]\n  28 -> 40 [size =\"42428416\"]\n  29 [size=\"61745152\", alpha=\"0.14\", expect_size=\"30872576\"] \n  29 -> 34 [size =\"30872576\"]\n  29 -> 37 [size =\"30872576\"]\n  29 -> 40 [size =\"30872576\"]\n  30 [size=\"32380928\", alpha=\"0.06\", expect_size=\"16190464\"] \n  30 -> 37 [size =\"16190464\"]\n  30 -> 39 [size =\"16190464\"]\n  30 -> 40 [size =\"16190464\"]\n  31 [size=\"82407424\", alpha=\"0.08\", expect_size=\"41203712\"] \n  31 -> 34 [size =\"41203712\"]\n  31 -> 38 [size =\"41203712\"]\n  32 [size=\"96534528\", alpha=\"0.06\", expect_size=\"48267264\"] \n  32 -> 34 [size =\"48267264\"]\n  33 [size=\"42573824\", alpha=\"0.02\", expect_size=\"21286912\"] \n  34 [size=\"57339904\", alpha=\"0.17\", expect_size=\"28669952\"] \n  35 [size=\"27269120\", alpha=\"0.12\", expect_size=\"13634560\"] \n  36 [size=\"14901248\", alpha=\"0.09\", expect_size=\"7450624\"] \n  37 [size=\"69093376\", alpha=\"0.15\", expect_size=\"34546688\"] \n  38 [size=\"95838208\", alpha=\"0.07\", expect_size=\"47919104\"] \n  39 [size=\"56758272\", alpha=\"0.16\", expect_size=\"28379136\"] \n  40 [size=\"27820032\", alpha=\"0.15\", expect_size=\"13910016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64710656\", alpha=\"0.02\", expect_size=\"32355328\"] \n  1 -> 18 [size =\"32355328\"]\n  1 -> 20 [size =\"32355328\"]\n  1 -> 21 [size =\"32355328\"]\n  1 -> 30 [size =\"32355328\"]\n  1 -> 31 [size =\"32355328\"]\n  1 -> 32 [size =\"32355328\"]\n  1 -> 38 [size =\"32355328\"]\n  1 -> 39 [size =\"32355328\"]\n  2 [size=\"29935616\", alpha=\"0.19\", expect_size=\"14967808\"] \n  2 -> 18 [size =\"14967808\"]\n  2 -> 20 [size =\"14967808\"]\n  2 -> 25 [size =\"14967808\"]\n  2 -> 27 [size =\"14967808\"]\n  2 -> 28 [size =\"14967808\"]\n  2 -> 30 [size =\"14967808\"]\n  2 -> 31 [size =\"14967808\"]\n  2 -> 34 [size =\"14967808\"]\n  2 -> 36 [size =\"14967808\"]\n  2 -> 38 [size =\"14967808\"]\n  2 -> 39 [size =\"14967808\"]\n  3 [size=\"82944000\", alpha=\"0.13\", expect_size=\"41472000\"] \n  3 -> 22 [size =\"41472000\"]\n  3 -> 34 [size =\"41472000\"]\n  3 -> 35 [size =\"41472000\"]\n  3 -> 37 [size =\"41472000\"]\n  3 -> 40 [size =\"41472000\"]\n  4 [size=\"85841920\", alpha=\"0.04\", expect_size=\"42920960\"] \n  4 -> 18 [size =\"42920960\"]\n  4 -> 25 [size =\"42920960\"]\n  4 -> 26 [size =\"42920960\"]\n  4 -> 29 [size =\"42920960\"]\n  4 -> 33 [size =\"42920960\"]\n  4 -> 34 [size =\"42920960\"]\n  4 -> 35 [size =\"42920960\"]\n  4 -> 38 [size =\"42920960\"]\n  4 -> 40 [size =\"42920960\"]\n  5 [size=\"58519552\", alpha=\"0.16\", expect_size=\"29259776\"] \n  5 -> 22 [size =\"29259776\"]\n  5 -> 25 [size =\"29259776\"]\n  5 -> 26 [size =\"29259776\"]\n  5 -> 27 [size =\"29259776\"]\n  5 -> 29 [size =\"29259776\"]\n  5 -> 33 [size =\"29259776\"]\n  5 -> 34 [size =\"29259776\"]\n  5 -> 35 [size =\"29259776\"]\n  5 -> 37 [size =\"29259776\"]\n  5 -> 38 [size =\"29259776\"]\n  5 -> 39 [size =\"29259776\"]\n  5 -> 40 [size =\"29259776\"]\n  6 [size=\"21940224\", alpha=\"0.06\", expect_size=\"10970112\"] \n  6 -> 18 [size =\"10970112\"]\n  6 -> 20 [size =\"10970112\"]\n  6 -> 22 [size =\"10970112\"]\n  6 -> 26 [size =\"10970112\"]\n  6 -> 29 [size =\"10970112\"]\n  6 -> 33 [size =\"10970112\"]\n  6 -> 34 [size =\"10970112\"]\n  6 -> 35 [size =\"10970112\"]\n  7 [size=\"103485440\", alpha=\"0.06\", expect_size=\"51742720\"] \n  7 -> 17 [size =\"51742720\"]\n  7 -> 18 [size =\"51742720\"]\n  7 -> 20 [size =\"51742720\"]\n  7 -> 24 [size =\"51742720\"]\n  7 -> 27 [size =\"51742720\"]\n  7 -> 30 [size =\"51742720\"]\n  7 -> 31 [size =\"51742720\"]\n  7 -> 32 [size =\"51742720\"]\n  7 -> 33 [size =\"51742720\"]\n  7 -> 34 [size =\"51742720\"]\n  7 -> 35 [size =\"51742720\"]\n  7 -> 40 [size =\"51742720\"]\n  8 [size=\"16959488\", alpha=\"0.04\", expect_size=\"8479744\"] \n  8 -> 20 [size =\"8479744\"]\n  8 -> 24 [size =\"8479744\"]\n  8 -> 27 [size =\"8479744\"]\n  8 -> 29 [size =\"8479744\"]\n  8 -> 33 [size =\"8479744\"]\n  8 -> 34 [size =\"8479744\"]\n  8 -> 37 [size =\"8479744\"]\n  8 -> 38 [size =\"8479744\"]\n  9 [size=\"44079104\", alpha=\"0.01\", expect_size=\"22039552\"] \n  9 -> 18 [size =\"22039552\"]\n  9 -> 27 [size =\"22039552\"]\n  9 -> 27 [size =\"22039552\"]\n  9 -> 28 [size =\"22039552\"]\n  9 -> 29 [size =\"22039552\"]\n  9 -> 32 [size =\"22039552\"]\n  9 -> 33 [size =\"22039552\"]\n  9 -> 34 [size =\"22039552\"]\n  9 -> 35 [size =\"22039552\"]\n  9 -> 37 [size =\"22039552\"]\n  9 -> 38 [size =\"22039552\"]\n  9 -> 40 [size =\"22039552\"]\n  10 [size=\"37066752\", alpha=\"0.04\", expect_size=\"18533376\"] \n  10 -> 18 [size =\"18533376\"]\n  10 -> 22 [size =\"18533376\"]\n  10 -> 29 [size =\"18533376\"]\n  10 -> 31 [size =\"18533376\"]\n  10 -> 32 [size =\"18533376\"]\n  10 -> 35 [size =\"18533376\"]\n  10 -> 37 [size =\"18533376\"]\n  10 -> 38 [size =\"18533376\"]\n  10 -> 40 [size =\"18533376\"]\n  11 [size=\"17664000\", alpha=\"0.12\", expect_size=\"8832000\"] \n  11 -> 19 [size =\"8832000\"]\n  11 -> 31 [size =\"8832000\"]\n  11 -> 32 [size =\"8832000\"]\n  11 -> 35 [size =\"8832000\"]\n  11 -> 38 [size =\"8832000\"]\n  11 -> 39 [size =\"8832000\"]\n  12 [size=\"29214720\", alpha=\"0.09\", expect_size=\"14607360\"] \n  12 -> 22 [size =\"14607360\"]\n  12 -> 27 [size =\"14607360\"]\n  12 -> 31 [size =\"14607360\"]\n  12 -> 33 [size =\"14607360\"]\n  12 -> 37 [size =\"14607360\"]\n  12 -> 39 [size =\"14607360\"]\n  12 -> 40 [size =\"14607360\"]\n  13 [size=\"26046464\", alpha=\"0.01\", expect_size=\"13023232\"] \n  13 -> 26 [size =\"13023232\"]\n  13 -> 27 [size =\"13023232\"]\n  13 -> 30 [size =\"13023232\"]\n  13 -> 31 [size =\"13023232\"]\n  13 -> 32 [size =\"13023232\"]\n  13 -> 33 [size =\"13023232\"]\n  13 -> 39 [size =\"13023232\"]\n  14 [size=\"88975360\", alpha=\"0.03\", expect_size=\"44487680\"] \n  14 -> 18 [size =\"44487680\"]\n  14 -> 21 [size =\"44487680\"]\n  14 -> 22 [size =\"44487680\"]\n  14 -> 23 [size =\"44487680\"]\n  14 -> 27 [size =\"44487680\"]\n  14 -> 30 [size =\"44487680\"]\n  14 -> 31 [size =\"44487680\"]\n  14 -> 32 [size =\"44487680\"]\n  14 -> 34 [size =\"44487680\"]\n  14 -> 35 [size =\"44487680\"]\n  14 -> 39 [size =\"44487680\"]\n  15 [size=\"14024704\", alpha=\"0.14\", expect_size=\"7012352\"] \n  15 -> 26 [size =\"7012352\"]\n  15 -> 27 [size =\"7012352\"]\n  15 -> 28 [size =\"7012352\"]\n  15 -> 31 [size =\"7012352\"]\n  15 -> 32 [size =\"7012352\"]\n  15 -> 37 [size =\"7012352\"]\n  15 -> 39 [size =\"7012352\"]\n  15 -> 40 [size =\"7012352\"]\n  16 [size=\"89769984\", alpha=\"0.02\", expect_size=\"44884992\"] \n  16 -> 20 [size =\"44884992\"]\n  16 -> 26 [size =\"44884992\"]\n  16 -> 28 [size =\"44884992\"]\n  16 -> 30 [size =\"44884992\"]\n  16 -> 31 [size =\"44884992\"]\n  16 -> 32 [size =\"44884992\"]\n  16 -> 35 [size =\"44884992\"]\n  16 -> 37 [size =\"44884992\"]\n  17 [size=\"23627776\", alpha=\"0.03\", expect_size=\"11813888\"] \n  18 [size=\"49797120\", alpha=\"0.03\", expect_size=\"24898560\"] \n  19 [size=\"66381824\", alpha=\"0.16\", expect_size=\"33190912\"] \n  20 [size=\"73015296\", alpha=\"0.10\", expect_size=\"36507648\"] \n  21 [size=\"90462208\", alpha=\"0.15\", expect_size=\"45231104\"] \n  22 [size=\"51955712\", alpha=\"0.05\", expect_size=\"25977856\"] \n  23 [size=\"95289344\", alpha=\"0.09\", expect_size=\"47644672\"] \n  24 [size=\"101122048\", alpha=\"0.10\", expect_size=\"50561024\"] \n  25 [size=\"20103168\", alpha=\"0.01\", expect_size=\"10051584\"] \n  26 [size=\"86173696\", alpha=\"0.14\", expect_size=\"43086848\"] \n  27 [size=\"93390848\", alpha=\"0.07\", expect_size=\"46695424\"] \n  28 [size=\"13723648\", alpha=\"0.02\", expect_size=\"6861824\"] \n  29 [size=\"29677568\", alpha=\"0.03\", expect_size=\"14838784\"] \n  30 [size=\"12531712\", alpha=\"0.10\", expect_size=\"6265856\"] \n  31 [size=\"60305408\", alpha=\"0.19\", expect_size=\"30152704\"] \n  32 [size=\"38481920\", alpha=\"0.12\", expect_size=\"19240960\"] \n  33 [size=\"60887040\", alpha=\"0.08\", expect_size=\"30443520\"] \n  34 [size=\"11233280\", alpha=\"0.00\", expect_size=\"5616640\"] \n  35 [size=\"59250688\", alpha=\"0.14\", expect_size=\"29625344\"] \n  36 [size=\"64227328\", alpha=\"0.04\", expect_size=\"32113664\"] \n  37 [size=\"37619712\", alpha=\"0.17\", expect_size=\"18809856\"] \n  38 [size=\"72427520\", alpha=\"0.18\", expect_size=\"36213760\"] \n  39 [size=\"80752640\", alpha=\"0.11\", expect_size=\"40376320\"] \n  40 [size=\"96190464\", alpha=\"0.17\", expect_size=\"48095232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14732800\", alpha=\"0.15\", expect_size=\"5893120\"] \n  1 -> 2 [size =\"5893120\"]\n  2 [size=\"60305920\", alpha=\"0.05\", expect_size=\"24122368\"] \n  2 -> 3 [size =\"24122368\"]\n  3 [size=\"117237760\", alpha=\"0.08\", expect_size=\"46895104\"] \n  3 -> 4 [size =\"46895104\"]\n  4 [size=\"89909760\", alpha=\"0.01\", expect_size=\"35963904\"] \n  4 -> 5 [size =\"35963904\"]\n  5 [size=\"53841920\", alpha=\"0.17\", expect_size=\"21536768\"] \n  5 -> 6 [size =\"21536768\"]\n  6 [size=\"51466240\", alpha=\"0.13\", expect_size=\"20586496\"] \n  6 -> 7 [size =\"20586496\"]\n  7 [size=\"116193280\", alpha=\"0.11\", expect_size=\"46477312\"] \n  7 -> 8 [size =\"46477312\"]\n  8 [size=\"48896000\", alpha=\"0.12\", expect_size=\"19558400\"] \n  8 -> 9 [size =\"19558400\"]\n  9 [size=\"120913920\", alpha=\"0.02\", expect_size=\"48365568\"] \n  9 -> 10 [size =\"48365568\"]\n  10 [size=\"92536320\", alpha=\"0.04\", expect_size=\"37014528\"] \n  10 -> 11 [size =\"37014528\"]\n  11 [size=\"50004480\", alpha=\"0.19\", expect_size=\"20001792\"] \n  11 -> 12 [size =\"20001792\"]\n  12 [size=\"22062080\", alpha=\"0.01\", expect_size=\"8824832\"] \n  12 -> 13 [size =\"8824832\"]\n  13 [size=\"52349440\", alpha=\"0.16\", expect_size=\"20939776\"] \n  13 -> 14 [size =\"20939776\"]\n  14 [size=\"100510720\", alpha=\"0.13\", expect_size=\"40204288\"] \n  14 -> 15 [size =\"40204288\"]\n  15 [size=\"105251840\", alpha=\"0.04\", expect_size=\"42100736\"] \n  15 -> 16 [size =\"42100736\"]\n  16 [size=\"87912960\", alpha=\"0.09\", expect_size=\"35165184\"] \n  16 -> 17 [size =\"35165184\"]\n  17 [size=\"44362240\", alpha=\"0.18\", expect_size=\"17744896\"] \n  17 -> 18 [size =\"17744896\"]\n  18 [size=\"108403200\", alpha=\"0.19\", expect_size=\"43361280\"] \n  18 -> 19 [size =\"43361280\"]\n  19 [size=\"58393600\", alpha=\"0.03\", expect_size=\"23357440\"] \n  19 -> 20 [size =\"23357440\"]\n  20 [size=\"70251520\", alpha=\"0.02\", expect_size=\"28100608\"] \n  20 -> 21 [size =\"28100608\"]\n  21 [size=\"91788800\", alpha=\"0.02\", expect_size=\"36715520\"] \n  21 -> 22 [size =\"36715520\"]\n  22 [size=\"86115840\", alpha=\"0.09\", expect_size=\"34446336\"] \n  22 -> 23 [size =\"34446336\"]\n  23 [size=\"89966080\", alpha=\"0.14\", expect_size=\"35986432\"] \n  23 -> 24 [size =\"35986432\"]\n  24 [size=\"64245760\", alpha=\"0.12\", expect_size=\"25698304\"] \n  24 -> 25 [size =\"25698304\"]\n  25 [size=\"23879680\", alpha=\"0.16\", expect_size=\"9551872\"] \n  25 -> 26 [size =\"9551872\"]\n  26 [size=\"49989120\", alpha=\"0.08\", expect_size=\"19995648\"] \n  26 -> 27 [size =\"19995648\"]\n  27 [size=\"100175360\", alpha=\"0.17\", expect_size=\"40070144\"] \n  27 -> 28 [size =\"40070144\"]\n  28 [size=\"87518720\", alpha=\"0.11\", expect_size=\"35007488\"] \n  28 -> 29 [size =\"35007488\"]\n  29 [size=\"82393600\", alpha=\"0.05\", expect_size=\"32957440\"] \n  29 -> 30 [size =\"32957440\"]\n  30 [size=\"102054400\", alpha=\"0.11\", expect_size=\"40821760\"] \n  30 -> 31 [size =\"40821760\"]\n  31 [size=\"115645440\", alpha=\"0.04\", expect_size=\"46258176\"] \n  31 -> 32 [size =\"46258176\"]\n  32 [size=\"124787200\", alpha=\"0.19\", expect_size=\"49914880\"] \n  32 -> 33 [size =\"49914880\"]\n  33 [size=\"58721280\", alpha=\"0.20\", expect_size=\"23488512\"] \n  33 -> 34 [size =\"23488512\"]\n  34 [size=\"21575680\", alpha=\"0.15\", expect_size=\"8630272\"] \n  34 -> 35 [size =\"8630272\"]\n  35 [size=\"90150400\", alpha=\"0.07\", expect_size=\"36060160\"] \n  35 -> 36 [size =\"36060160\"]\n  36 [size=\"69258240\", alpha=\"0.11\", expect_size=\"27703296\"] \n  36 -> 37 [size =\"27703296\"]\n  37 [size=\"115217920\", alpha=\"0.01\", expect_size=\"46087168\"] \n  37 -> 38 [size =\"46087168\"]\n  38 [size=\"95191040\", alpha=\"0.06\", expect_size=\"38076416\"] \n  38 -> 39 [size =\"38076416\"]\n  39 [size=\"44963840\", alpha=\"0.20\", expect_size=\"17985536\"] \n  39 -> 40 [size =\"17985536\"]\n  40 [size=\"72345600\", alpha=\"0.03\", expect_size=\"28938240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67384320\", alpha=\"0.00\", expect_size=\"26953728\"] \n  1 -> 2 [size =\"26953728\"]\n  2 [size=\"30988800\", alpha=\"0.20\", expect_size=\"12395520\"] \n  2 -> 3 [size =\"12395520\"]\n  3 [size=\"78778880\", alpha=\"0.03\", expect_size=\"31511552\"] \n  3 -> 4 [size =\"31511552\"]\n  4 [size=\"38556160\", alpha=\"0.19\", expect_size=\"15422464\"] \n  4 -> 5 [size =\"15422464\"]\n  5 [size=\"15925760\", alpha=\"0.00\", expect_size=\"6370304\"] \n  5 -> 6 [size =\"6370304\"]\n  6 [size=\"68544000\", alpha=\"0.15\", expect_size=\"27417600\"] \n  6 -> 7 [size =\"27417600\"]\n  7 [size=\"62474240\", alpha=\"0.16\", expect_size=\"24989696\"] \n  7 -> 8 [size =\"24989696\"]\n  8 [size=\"82849280\", alpha=\"0.16\", expect_size=\"33139712\"] \n  8 -> 9 [size =\"33139712\"]\n  9 [size=\"78343680\", alpha=\"0.03\", expect_size=\"31337472\"] \n  9 -> 10 [size =\"31337472\"]\n  10 [size=\"25940480\", alpha=\"0.03\", expect_size=\"10376192\"] \n  10 -> 11 [size =\"10376192\"]\n  11 [size=\"31948800\", alpha=\"0.18\", expect_size=\"12779520\"] \n  11 -> 12 [size =\"12779520\"]\n  12 [size=\"32358400\", alpha=\"0.01\", expect_size=\"12943360\"] \n  12 -> 13 [size =\"12943360\"]\n  13 [size=\"30755840\", alpha=\"0.15\", expect_size=\"12302336\"] \n  13 -> 14 [size =\"12302336\"]\n  14 [size=\"51253760\", alpha=\"0.17\", expect_size=\"20501504\"] \n  14 -> 15 [size =\"20501504\"]\n  15 [size=\"46438400\", alpha=\"0.12\", expect_size=\"18575360\"] \n  15 -> 16 [size =\"18575360\"]\n  16 [size=\"49338880\", alpha=\"0.09\", expect_size=\"19735552\"] \n  16 -> 17 [size =\"19735552\"]\n  17 [size=\"17971200\", alpha=\"0.15\", expect_size=\"7188480\"] \n  17 -> 18 [size =\"7188480\"]\n  18 [size=\"110945280\", alpha=\"0.11\", expect_size=\"44378112\"] \n  18 -> 19 [size =\"44378112\"]\n  19 [size=\"86389760\", alpha=\"0.01\", expect_size=\"34555904\"] \n  19 -> 20 [size =\"34555904\"]\n  20 [size=\"104970240\", alpha=\"0.11\", expect_size=\"41988096\"] \n  20 -> 21 [size =\"41988096\"]\n  21 [size=\"125480960\", alpha=\"0.10\", expect_size=\"50192384\"] \n  21 -> 22 [size =\"50192384\"]\n  22 [size=\"113661440\", alpha=\"0.13\", expect_size=\"45464576\"] \n  22 -> 23 [size =\"45464576\"]\n  23 [size=\"118906880\", alpha=\"0.06\", expect_size=\"47562752\"] \n  23 -> 24 [size =\"47562752\"]\n  24 [size=\"86499840\", alpha=\"0.04\", expect_size=\"34599936\"] \n  24 -> 25 [size =\"34599936\"]\n  25 [size=\"70113280\", alpha=\"0.03\", expect_size=\"28045312\"] \n  25 -> 26 [size =\"28045312\"]\n  26 [size=\"22425600\", alpha=\"0.11\", expect_size=\"8970240\"] \n  26 -> 27 [size =\"8970240\"]\n  27 [size=\"73827840\", alpha=\"0.07\", expect_size=\"29531136\"] \n  27 -> 28 [size =\"29531136\"]\n  28 [size=\"42112000\", alpha=\"0.15\", expect_size=\"16844800\"] \n  28 -> 29 [size =\"16844800\"]\n  29 [size=\"104990720\", alpha=\"0.14\", expect_size=\"41996288\"] \n  29 -> 30 [size =\"41996288\"]\n  30 [size=\"108838400\", alpha=\"0.15\", expect_size=\"43535360\"] \n  30 -> 31 [size =\"43535360\"]\n  31 [size=\"55237120\", alpha=\"0.20\", expect_size=\"22094848\"] \n  31 -> 32 [size =\"22094848\"]\n  32 [size=\"116428800\", alpha=\"0.07\", expect_size=\"46571520\"] \n  32 -> 33 [size =\"46571520\"]\n  33 [size=\"74365440\", alpha=\"0.18\", expect_size=\"29746176\"] \n  33 -> 34 [size =\"29746176\"]\n  34 [size=\"112688640\", alpha=\"0.15\", expect_size=\"45075456\"] \n  34 -> 35 [size =\"45075456\"]\n  35 [size=\"20915200\", alpha=\"0.18\", expect_size=\"8366080\"] \n  35 -> 36 [size =\"8366080\"]\n  36 [size=\"37795840\", alpha=\"0.07\", expect_size=\"15118336\"] \n  36 -> 37 [size =\"15118336\"]\n  37 [size=\"100802560\", alpha=\"0.17\", expect_size=\"40321024\"] \n  37 -> 38 [size =\"40321024\"]\n  38 [size=\"23377920\", alpha=\"0.03\", expect_size=\"9351168\"] \n  38 -> 39 [size =\"9351168\"]\n  39 [size=\"111191040\", alpha=\"0.02\", expect_size=\"44476416\"] \n  39 -> 40 [size =\"44476416\"]\n  40 [size=\"75589120\", alpha=\"0.16\", expect_size=\"30235648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53565440\", alpha=\"0.11\", expect_size=\"16069632\"] \n  1 -> 12 [size =\"16069632\"]\n  1 -> 18 [size =\"16069632\"]\n  1 -> 20 [size =\"16069632\"]\n  2 [size=\"55210667\", alpha=\"0.12\", expect_size=\"16563200\"] \n  2 -> 14 [size =\"16563200\"]\n  2 -> 18 [size =\"16563200\"]\n  3 [size=\"53254827\", alpha=\"0.10\", expect_size=\"15976448\"] \n  3 -> 13 [size =\"15976448\"]\n  3 -> 20 [size =\"15976448\"]\n  4 [size=\"99416747\", alpha=\"0.06\", expect_size=\"29825024\"] \n  4 -> 17 [size =\"29825024\"]\n  4 -> 21 [size =\"29825024\"]\n  5 [size=\"80011947\", alpha=\"0.01\", expect_size=\"24003584\"] \n  5 -> 13 [size =\"24003584\"]\n  5 -> 17 [size =\"24003584\"]\n  5 -> 18 [size =\"24003584\"]\n  5 -> 19 [size =\"24003584\"]\n  5 -> 21 [size =\"24003584\"]\n  6 [size=\"60962133\", alpha=\"0.08\", expect_size=\"18288640\"] \n  6 -> 12 [size =\"18288640\"]\n  6 -> 18 [size =\"18288640\"]\n  6 -> 19 [size =\"18288640\"]\n  7 [size=\"17735680\", alpha=\"0.08\", expect_size=\"5320704\"] \n  7 -> 12 [size =\"5320704\"]\n  7 -> 19 [size =\"5320704\"]\n  7 -> 19 [size =\"5320704\"]\n  8 [size=\"105622187\", alpha=\"0.07\", expect_size=\"31686656\"] \n  8 -> 17 [size =\"31686656\"]\n  8 -> 20 [size =\"31686656\"]\n  9 [size=\"38850560\", alpha=\"0.18\", expect_size=\"11655168\"] \n  9 -> 15 [size =\"11655168\"]\n  9 -> 16 [size =\"11655168\"]\n  9 -> 17 [size =\"11655168\"]\n  10 [size=\"80793600\", alpha=\"0.06\", expect_size=\"24238080\"] \n  10 -> 15 [size =\"24238080\"]\n  10 -> 17 [size =\"24238080\"]\n  10 -> 21 [size =\"24238080\"]\n  11 [size=\"54033067\", alpha=\"0.07\", expect_size=\"16209920\"] \n  11 -> 12 [size =\"16209920\"]\n  11 -> 20 [size =\"16209920\"]\n  11 -> 22 [size =\"16209920\"]\n  12 [size=\"138332160\", alpha=\"0.09\", expect_size=\"41499648\"] \n  12 -> 24 [size =\"41499648\"]\n  12 -> 30 [size =\"41499648\"]\n  13 [size=\"77602133\", alpha=\"0.14\", expect_size=\"23280640\"] \n  13 -> 29 [size =\"23280640\"]\n  13 -> 34 [size =\"23280640\"]\n  14 [size=\"154907307\", alpha=\"0.13\", expect_size=\"46472192\"] \n  14 -> 23 [size =\"46472192\"]\n  14 -> 26 [size =\"46472192\"]\n  14 -> 27 [size =\"46472192\"]\n  14 -> 28 [size =\"46472192\"]\n  14 -> 29 [size =\"46472192\"]\n  14 -> 30 [size =\"46472192\"]\n  14 -> 32 [size =\"46472192\"]\n  14 -> 33 [size =\"46472192\"]\n  15 [size=\"48165547\", alpha=\"0.18\", expect_size=\"14449664\"] \n  15 -> 26 [size =\"14449664\"]\n  15 -> 29 [size =\"14449664\"]\n  15 -> 31 [size =\"14449664\"]\n  15 -> 34 [size =\"14449664\"]\n  16 [size=\"54770347\", alpha=\"0.16\", expect_size=\"16431104\"] \n  16 -> 26 [size =\"16431104\"]\n  16 -> 27 [size =\"16431104\"]\n  16 -> 31 [size =\"16431104\"]\n  16 -> 32 [size =\"16431104\"]\n  17 [size=\"119674880\", alpha=\"0.02\", expect_size=\"35902464\"] \n  17 -> 26 [size =\"35902464\"]\n  17 -> 28 [size =\"35902464\"]\n  17 -> 31 [size =\"35902464\"]\n  18 [size=\"25408853\", alpha=\"0.05\", expect_size=\"7622656\"] \n  18 -> 29 [size =\"7622656\"]\n  18 -> 30 [size =\"7622656\"]\n  18 -> 31 [size =\"7622656\"]\n  19 [size=\"77998080\", alpha=\"0.09\", expect_size=\"23399424\"] \n  19 -> 24 [size =\"23399424\"]\n  19 -> 26 [size =\"23399424\"]\n  19 -> 31 [size =\"23399424\"]\n  20 [size=\"62078293\", alpha=\"0.18\", expect_size=\"18623488\"] \n  20 -> 24 [size =\"18623488\"]\n  20 -> 30 [size =\"18623488\"]\n  20 -> 32 [size =\"18623488\"]\n  21 [size=\"108049067\", alpha=\"0.11\", expect_size=\"32414720\"] \n  21 -> 25 [size =\"32414720\"]\n  21 -> 33 [size =\"32414720\"]\n  21 -> 34 [size =\"32414720\"]\n  22 [size=\"159467520\", alpha=\"0.10\", expect_size=\"47840256\"] \n  22 -> 27 [size =\"47840256\"]\n  22 -> 30 [size =\"47840256\"]\n  22 -> 34 [size =\"47840256\"]\n  23 [size=\"70130347\", alpha=\"0.13\", expect_size=\"21039104\"] \n  23 -> 35 [size =\"21039104\"]\n  23 -> 37 [size =\"21039104\"]\n  24 [size=\"24070827\", alpha=\"0.06\", expect_size=\"7221248\"] \n  24 -> 37 [size =\"7221248\"]\n  24 -> 40 [size =\"7221248\"]\n  25 [size=\"129774933\", alpha=\"0.08\", expect_size=\"38932480\"] \n  25 -> 35 [size =\"38932480\"]\n  25 -> 40 [size =\"38932480\"]\n  26 [size=\"111930027\", alpha=\"0.15\", expect_size=\"33579008\"] \n  26 -> 35 [size =\"33579008\"]\n  27 [size=\"82851840\", alpha=\"0.02\", expect_size=\"24855552\"] \n  27 -> 35 [size =\"24855552\"]\n  27 -> 38 [size =\"24855552\"]\n  28 [size=\"101884587\", alpha=\"0.20\", expect_size=\"30565376\"] \n  28 -> 35 [size =\"30565376\"]\n  28 -> 38 [size =\"30565376\"]\n  28 -> 40 [size =\"30565376\"]\n  29 [size=\"140902400\", alpha=\"0.01\", expect_size=\"42270720\"] \n  29 -> 36 [size =\"42270720\"]\n  29 -> 38 [size =\"42270720\"]\n  30 [size=\"50845013\", alpha=\"0.10\", expect_size=\"15253504\"] \n  30 -> 36 [size =\"15253504\"]\n  30 -> 39 [size =\"15253504\"]\n  31 [size=\"32310613\", alpha=\"0.03\", expect_size=\"9693184\"] \n  31 -> 36 [size =\"9693184\"]\n  31 -> 37 [size =\"9693184\"]\n  31 -> 39 [size =\"9693184\"]\n  32 [size=\"121381547\", alpha=\"0.12\", expect_size=\"36414464\"] \n  32 -> 36 [size =\"36414464\"]\n  33 [size=\"41229653\", alpha=\"0.09\", expect_size=\"12368896\"] \n  33 -> 36 [size =\"12368896\"]\n  34 [size=\"142206293\", alpha=\"0.03\", expect_size=\"42661888\"] \n  34 -> 36 [size =\"42661888\"]\n  34 -> 37 [size =\"42661888\"]\n  35 [size=\"34392747\", alpha=\"0.01\", expect_size=\"10317824\"] \n  36 [size=\"94900907\", alpha=\"0.04\", expect_size=\"28470272\"] \n  37 [size=\"52650667\", alpha=\"0.19\", expect_size=\"15795200\"] \n  38 [size=\"65184427\", alpha=\"0.16\", expect_size=\"19555328\"] \n  39 [size=\"63365120\", alpha=\"0.00\", expect_size=\"19009536\"] \n  40 [size=\"68570453\", alpha=\"0.11\", expect_size=\"20571136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38497280\", alpha=\"0.15\", expect_size=\"15398912\"] \n  1 -> 10 [size =\"15398912\"]\n  1 -> 11 [size =\"15398912\"]\n  1 -> 13 [size =\"15398912\"]\n  2 [size=\"83609600\", alpha=\"0.02\", expect_size=\"33443840\"] \n  2 -> 9 [size =\"33443840\"]\n  2 -> 10 [size =\"33443840\"]\n  2 -> 11 [size =\"33443840\"]\n  2 -> 13 [size =\"33443840\"]\n  2 -> 14 [size =\"33443840\"]\n  3 [size=\"124738560\", alpha=\"0.15\", expect_size=\"49895424\"] \n  3 -> 9 [size =\"49895424\"]\n  3 -> 12 [size =\"49895424\"]\n  3 -> 13 [size =\"49895424\"]\n  3 -> 14 [size =\"49895424\"]\n  4 [size=\"100464640\", alpha=\"0.12\", expect_size=\"40185856\"] \n  4 -> 9 [size =\"40185856\"]\n  4 -> 10 [size =\"40185856\"]\n  4 -> 13 [size =\"40185856\"]\n  4 -> 14 [size =\"40185856\"]\n  5 [size=\"21360640\", alpha=\"0.08\", expect_size=\"8544256\"] \n  5 -> 9 [size =\"8544256\"]\n  5 -> 10 [size =\"8544256\"]\n  5 -> 13 [size =\"8544256\"]\n  5 -> 14 [size =\"8544256\"]\n  6 [size=\"77258240\", alpha=\"0.10\", expect_size=\"30903296\"] \n  6 -> 9 [size =\"30903296\"]\n  6 -> 10 [size =\"30903296\"]\n  6 -> 11 [size =\"30903296\"]\n  7 [size=\"76930560\", alpha=\"0.06\", expect_size=\"30772224\"] \n  7 -> 9 [size =\"30772224\"]\n  7 -> 10 [size =\"30772224\"]\n  7 -> 12 [size =\"30772224\"]\n  7 -> 14 [size =\"30772224\"]\n  8 [size=\"107486720\", alpha=\"0.06\", expect_size=\"42994688\"] \n  8 -> 9 [size =\"42994688\"]\n  8 -> 10 [size =\"42994688\"]\n  8 -> 12 [size =\"42994688\"]\n  8 -> 13 [size =\"42994688\"]\n  8 -> 14 [size =\"42994688\"]\n  9 [size=\"60282880\", alpha=\"0.15\", expect_size=\"24113152\"] \n  9 -> 15 [size =\"24113152\"]\n  9 -> 16 [size =\"24113152\"]\n  9 -> 17 [size =\"24113152\"]\n  9 -> 19 [size =\"24113152\"]\n  9 -> 21 [size =\"24113152\"]\n  10 [size=\"71564800\", alpha=\"0.01\", expect_size=\"28625920\"] \n  10 -> 18 [size =\"28625920\"]\n  10 -> 20 [size =\"28625920\"]\n  10 -> 22 [size =\"28625920\"]\n  11 [size=\"51256320\", alpha=\"0.16\", expect_size=\"20502528\"] \n  11 -> 16 [size =\"20502528\"]\n  11 -> 18 [size =\"20502528\"]\n  11 -> 19 [size =\"20502528\"]\n  11 -> 20 [size =\"20502528\"]\n  12 [size=\"21071360\", alpha=\"0.02\", expect_size=\"8428544\"] \n  12 -> 15 [size =\"8428544\"]\n  12 -> 16 [size =\"8428544\"]\n  12 -> 18 [size =\"8428544\"]\n  13 [size=\"35463680\", alpha=\"0.17\", expect_size=\"14185472\"] \n  13 -> 16 [size =\"14185472\"]\n  13 -> 18 [size =\"14185472\"]\n  13 -> 19 [size =\"14185472\"]\n  13 -> 22 [size =\"14185472\"]\n  14 [size=\"124904960\", alpha=\"0.16\", expect_size=\"49961984\"] \n  14 -> 16 [size =\"49961984\"]\n  14 -> 18 [size =\"49961984\"]\n  14 -> 19 [size =\"49961984\"]\n  14 -> 21 [size =\"49961984\"]\n  15 [size=\"77422080\", alpha=\"0.16\", expect_size=\"30968832\"] \n  15 -> 23 [size =\"30968832\"]\n  15 -> 27 [size =\"30968832\"]\n  16 [size=\"125153280\", alpha=\"0.13\", expect_size=\"50061312\"] \n  16 -> 25 [size =\"50061312\"]\n  16 -> 26 [size =\"50061312\"]\n  16 -> 27 [size =\"50061312\"]\n  17 [size=\"68121600\", alpha=\"0.18\", expect_size=\"27248640\"] \n  17 -> 24 [size =\"27248640\"]\n  17 -> 27 [size =\"27248640\"]\n  17 -> 27 [size =\"27248640\"]\n  18 [size=\"105717760\", alpha=\"0.11\", expect_size=\"42287104\"] \n  18 -> 24 [size =\"42287104\"]\n  19 [size=\"23434240\", alpha=\"0.03\", expect_size=\"9373696\"] \n  19 -> 23 [size =\"9373696\"]\n  20 [size=\"114634240\", alpha=\"0.05\", expect_size=\"45853696\"] \n  20 -> 23 [size =\"45853696\"]\n  20 -> 24 [size =\"45853696\"]\n  20 -> 25 [size =\"45853696\"]\n  20 -> 27 [size =\"45853696\"]\n  21 [size=\"118392320\", alpha=\"0.12\", expect_size=\"47356928\"] \n  21 -> 23 [size =\"47356928\"]\n  21 -> 25 [size =\"47356928\"]\n  21 -> 26 [size =\"47356928\"]\n  21 -> 27 [size =\"47356928\"]\n  22 [size=\"96691200\", alpha=\"0.10\", expect_size=\"38676480\"] \n  22 -> 24 [size =\"38676480\"]\n  22 -> 27 [size =\"38676480\"]\n  23 [size=\"109831680\", alpha=\"0.08\", expect_size=\"43932672\"] \n  23 -> 28 [size =\"43932672\"]\n  23 -> 29 [size =\"43932672\"]\n  24 [size=\"92549120\", alpha=\"0.20\", expect_size=\"37019648\"] \n  24 -> 29 [size =\"37019648\"]\n  24 -> 29 [size =\"37019648\"]\n  24 -> 30 [size =\"37019648\"]\n  25 [size=\"67038720\", alpha=\"0.13\", expect_size=\"26815488\"] \n  26 [size=\"44270080\", alpha=\"0.18\", expect_size=\"17708032\"] \n  26 -> 29 [size =\"17708032\"]\n  27 [size=\"123215360\", alpha=\"0.13\", expect_size=\"49286144\"] \n  27 -> 28 [size =\"49286144\"]\n  27 -> 29 [size =\"49286144\"]\n  27 -> 30 [size =\"49286144\"]\n  28 [size=\"111075840\", alpha=\"0.04\", expect_size=\"44430336\"] \n  28 -> 31 [size =\"44430336\"]\n  28 -> 32 [size =\"44430336\"]\n  28 -> 34 [size =\"44430336\"]\n  28 -> 35 [size =\"44430336\"]\n  29 [size=\"55687680\", alpha=\"0.03\", expect_size=\"22275072\"] \n  29 -> 32 [size =\"22275072\"]\n  29 -> 35 [size =\"22275072\"]\n  30 [size=\"74836480\", alpha=\"0.13\", expect_size=\"29934592\"] \n  30 -> 32 [size =\"29934592\"]\n  30 -> 33 [size =\"29934592\"]\n  30 -> 35 [size =\"29934592\"]\n  31 [size=\"106690560\", alpha=\"0.08\", expect_size=\"42676224\"] \n  31 -> 36 [size =\"42676224\"]\n  31 -> 37 [size =\"42676224\"]\n  31 -> 38 [size =\"42676224\"]\n  31 -> 39 [size =\"42676224\"]\n  32 [size=\"58670080\", alpha=\"0.05\", expect_size=\"23468032\"] \n  32 -> 36 [size =\"23468032\"]\n  32 -> 37 [size =\"23468032\"]\n  32 -> 39 [size =\"23468032\"]\n  33 [size=\"119249920\", alpha=\"0.06\", expect_size=\"47699968\"] \n  33 -> 36 [size =\"47699968\"]\n  33 -> 37 [size =\"47699968\"]\n  33 -> 38 [size =\"47699968\"]\n  33 -> 39 [size =\"47699968\"]\n  34 [size=\"46167040\", alpha=\"0.06\", expect_size=\"18466816\"] \n  34 -> 37 [size =\"18466816\"]\n  34 -> 38 [size =\"18466816\"]\n  34 -> 39 [size =\"18466816\"]\n  35 [size=\"44741120\", alpha=\"0.16\", expect_size=\"17896448\"] \n  35 -> 37 [size =\"17896448\"]\n  35 -> 38 [size =\"17896448\"]\n  35 -> 39 [size =\"17896448\"]\n  36 [size=\"123230720\", alpha=\"0.06\", expect_size=\"49292288\"] \n  36 -> 40 [size =\"49292288\"]\n  37 [size=\"109859840\", alpha=\"0.05\", expect_size=\"43943936\"] \n  38 [size=\"68446720\", alpha=\"0.20\", expect_size=\"27378688\"] \n  38 -> 40 [size =\"27378688\"]\n  39 [size=\"93376000\", alpha=\"0.16\", expect_size=\"37350400\"] \n  39 -> 40 [size =\"37350400\"]\n  40 [size=\"113861120\", alpha=\"0.10\", expect_size=\"45544448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126835200\", alpha=\"0.20\", expect_size=\"50734080\"] \n  1 -> 10 [size =\"50734080\"]\n  1 -> 11 [size =\"50734080\"]\n  1 -> 13 [size =\"50734080\"]\n  1 -> 18 [size =\"50734080\"]\n  2 [size=\"62466560\", alpha=\"0.19\", expect_size=\"24986624\"] \n  2 -> 17 [size =\"24986624\"]\n  2 -> 20 [size =\"24986624\"]\n  3 [size=\"103198720\", alpha=\"0.02\", expect_size=\"41279488\"] \n  3 -> 12 [size =\"41279488\"]\n  3 -> 16 [size =\"41279488\"]\n  3 -> 19 [size =\"41279488\"]\n  4 [size=\"39815680\", alpha=\"0.13\", expect_size=\"15926272\"] \n  4 -> 10 [size =\"15926272\"]\n  4 -> 12 [size =\"15926272\"]\n  4 -> 13 [size =\"15926272\"]\n  4 -> 14 [size =\"15926272\"]\n  4 -> 16 [size =\"15926272\"]\n  4 -> 18 [size =\"15926272\"]\n  4 -> 19 [size =\"15926272\"]\n  4 -> 20 [size =\"15926272\"]\n  4 -> 21 [size =\"15926272\"]\n  5 [size=\"86533120\", alpha=\"0.06\", expect_size=\"34613248\"] \n  5 -> 10 [size =\"34613248\"]\n  5 -> 12 [size =\"34613248\"]\n  5 -> 15 [size =\"34613248\"]\n  5 -> 16 [size =\"34613248\"]\n  5 -> 16 [size =\"34613248\"]\n  5 -> 18 [size =\"34613248\"]\n  5 -> 20 [size =\"34613248\"]\n  5 -> 21 [size =\"34613248\"]\n  6 [size=\"62935040\", alpha=\"0.13\", expect_size=\"25174016\"] \n  6 -> 12 [size =\"25174016\"]\n  6 -> 13 [size =\"25174016\"]\n  6 -> 17 [size =\"25174016\"]\n  6 -> 18 [size =\"25174016\"]\n  6 -> 20 [size =\"25174016\"]\n  6 -> 21 [size =\"25174016\"]\n  7 [size=\"108858880\", alpha=\"0.16\", expect_size=\"43543552\"] \n  7 -> 11 [size =\"43543552\"]\n  7 -> 14 [size =\"43543552\"]\n  7 -> 18 [size =\"43543552\"]\n  7 -> 21 [size =\"43543552\"]\n  8 [size=\"69340160\", alpha=\"0.02\", expect_size=\"27736064\"] \n  8 -> 10 [size =\"27736064\"]\n  8 -> 11 [size =\"27736064\"]\n  8 -> 12 [size =\"27736064\"]\n  8 -> 13 [size =\"27736064\"]\n  8 -> 15 [size =\"27736064\"]\n  8 -> 21 [size =\"27736064\"]\n  9 [size=\"13744640\", alpha=\"0.07\", expect_size=\"5497856\"] \n  9 -> 13 [size =\"5497856\"]\n  9 -> 15 [size =\"5497856\"]\n  9 -> 17 [size =\"5497856\"]\n  9 -> 21 [size =\"5497856\"]\n  10 [size=\"37388800\", alpha=\"0.09\", expect_size=\"14955520\"] \n  10 -> 22 [size =\"14955520\"]\n  10 -> 24 [size =\"14955520\"]\n  11 [size=\"109424640\", alpha=\"0.08\", expect_size=\"43769856\"] \n  11 -> 23 [size =\"43769856\"]\n  11 -> 24 [size =\"43769856\"]\n  12 [size=\"107107840\", alpha=\"0.14\", expect_size=\"42843136\"] \n  12 -> 23 [size =\"42843136\"]\n  12 -> 24 [size =\"42843136\"]\n  12 -> 25 [size =\"42843136\"]\n  13 [size=\"101555200\", alpha=\"0.12\", expect_size=\"40622080\"] \n  13 -> 24 [size =\"40622080\"]\n  13 -> 28 [size =\"40622080\"]\n  14 [size=\"113003520\", alpha=\"0.11\", expect_size=\"45201408\"] \n  14 -> 26 [size =\"45201408\"]\n  14 -> 28 [size =\"45201408\"]\n  15 [size=\"72908800\", alpha=\"0.16\", expect_size=\"29163520\"] \n  15 -> 22 [size =\"29163520\"]\n  15 -> 26 [size =\"29163520\"]\n  16 [size=\"110072320\", alpha=\"0.01\", expect_size=\"44028928\"] \n  16 -> 25 [size =\"44028928\"]\n  16 -> 26 [size =\"44028928\"]\n  16 -> 28 [size =\"44028928\"]\n  17 [size=\"66375680\", alpha=\"0.06\", expect_size=\"26550272\"] \n  17 -> 22 [size =\"26550272\"]\n  17 -> 26 [size =\"26550272\"]\n  18 [size=\"44994560\", alpha=\"0.16\", expect_size=\"17997824\"] \n  18 -> 26 [size =\"17997824\"]\n  19 [size=\"58608640\", alpha=\"0.04\", expect_size=\"23443456\"] \n  19 -> 22 [size =\"23443456\"]\n  19 -> 23 [size =\"23443456\"]\n  19 -> 24 [size =\"23443456\"]\n  19 -> 28 [size =\"23443456\"]\n  20 [size=\"101207040\", alpha=\"0.01\", expect_size=\"40482816\"] \n  20 -> 22 [size =\"40482816\"]\n  20 -> 27 [size =\"40482816\"]\n  20 -> 28 [size =\"40482816\"]\n  21 [size=\"37959680\", alpha=\"0.17\", expect_size=\"15183872\"] \n  21 -> 22 [size =\"15183872\"]\n  21 -> 24 [size =\"15183872\"]\n  21 -> 28 [size =\"15183872\"]\n  22 [size=\"82798080\", alpha=\"0.02\", expect_size=\"33119232\"] \n  22 -> 30 [size =\"33119232\"]\n  22 -> 38 [size =\"33119232\"]\n  23 [size=\"47994880\", alpha=\"0.02\", expect_size=\"19197952\"] \n  23 -> 29 [size =\"19197952\"]\n  23 -> 34 [size =\"19197952\"]\n  23 -> 38 [size =\"19197952\"]\n  23 -> 40 [size =\"19197952\"]\n  24 [size=\"121722880\", alpha=\"0.07\", expect_size=\"48689152\"] \n  24 -> 30 [size =\"48689152\"]\n  24 -> 33 [size =\"48689152\"]\n  24 -> 36 [size =\"48689152\"]\n  24 -> 40 [size =\"48689152\"]\n  25 [size=\"68989440\", alpha=\"0.04\", expect_size=\"27595776\"] \n  26 [size=\"47805440\", alpha=\"0.09\", expect_size=\"19122176\"] \n  26 -> 29 [size =\"19122176\"]\n  26 -> 31 [size =\"19122176\"]\n  26 -> 32 [size =\"19122176\"]\n  26 -> 33 [size =\"19122176\"]\n  26 -> 36 [size =\"19122176\"]\n  27 [size=\"51755520\", alpha=\"0.11\", expect_size=\"20702208\"] \n  27 -> 30 [size =\"20702208\"]\n  27 -> 32 [size =\"20702208\"]\n  27 -> 33 [size =\"20702208\"]\n  27 -> 35 [size =\"20702208\"]\n  27 -> 36 [size =\"20702208\"]\n  28 [size=\"89259520\", alpha=\"0.02\", expect_size=\"35703808\"] \n  28 -> 29 [size =\"35703808\"]\n  28 -> 30 [size =\"35703808\"]\n  28 -> 33 [size =\"35703808\"]\n  28 -> 37 [size =\"35703808\"]\n  28 -> 39 [size =\"35703808\"]\n  28 -> 40 [size =\"35703808\"]\n  29 [size=\"62947840\", alpha=\"0.13\", expect_size=\"25179136\"] \n  30 [size=\"86935040\", alpha=\"0.08\", expect_size=\"34774016\"] \n  31 [size=\"93544960\", alpha=\"0.00\", expect_size=\"37417984\"] \n  32 [size=\"78538240\", alpha=\"0.08\", expect_size=\"31415296\"] \n  33 [size=\"91276800\", alpha=\"0.11\", expect_size=\"36510720\"] \n  34 [size=\"103887360\", alpha=\"0.10\", expect_size=\"41554944\"] \n  35 [size=\"25116160\", alpha=\"0.20\", expect_size=\"10046464\"] \n  36 [size=\"46356480\", alpha=\"0.06\", expect_size=\"18542592\"] \n  37 [size=\"99471360\", alpha=\"0.01\", expect_size=\"39788544\"] \n  38 [size=\"44285440\", alpha=\"0.02\", expect_size=\"17714176\"] \n  39 [size=\"54996480\", alpha=\"0.10\", expect_size=\"21998592\"] \n  40 [size=\"14279680\", alpha=\"0.13\", expect_size=\"5711872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108446720\", alpha=\"0.04\", expect_size=\"43378688\"] \n  1 -> 9 [size =\"43378688\"]\n  1 -> 12 [size =\"43378688\"]\n  1 -> 13 [size =\"43378688\"]\n  2 [size=\"59384320\", alpha=\"0.15\", expect_size=\"23753728\"] \n  2 -> 8 [size =\"23753728\"]\n  2 -> 9 [size =\"23753728\"]\n  2 -> 10 [size =\"23753728\"]\n  2 -> 11 [size =\"23753728\"]\n  3 [size=\"71889920\", alpha=\"0.13\", expect_size=\"28755968\"] \n  3 -> 8 [size =\"28755968\"]\n  3 -> 9 [size =\"28755968\"]\n  3 -> 10 [size =\"28755968\"]\n  3 -> 12 [size =\"28755968\"]\n  4 [size=\"51046400\", alpha=\"0.00\", expect_size=\"20418560\"] \n  4 -> 8 [size =\"20418560\"]\n  4 -> 9 [size =\"20418560\"]\n  4 -> 10 [size =\"20418560\"]\n  4 -> 11 [size =\"20418560\"]\n  4 -> 12 [size =\"20418560\"]\n  5 [size=\"55449600\", alpha=\"0.17\", expect_size=\"22179840\"] \n  5 -> 10 [size =\"22179840\"]\n  5 -> 13 [size =\"22179840\"]\n  5 -> 14 [size =\"22179840\"]\n  6 [size=\"68618240\", alpha=\"0.04\", expect_size=\"27447296\"] \n  6 -> 9 [size =\"27447296\"]\n  7 [size=\"103247360\", alpha=\"0.08\", expect_size=\"41298944\"] \n  7 -> 8 [size =\"41298944\"]\n  7 -> 9 [size =\"41298944\"]\n  7 -> 12 [size =\"41298944\"]\n  7 -> 14 [size =\"41298944\"]\n  8 [size=\"92738560\", alpha=\"0.03\", expect_size=\"37095424\"] \n  8 -> 15 [size =\"37095424\"]\n  8 -> 17 [size =\"37095424\"]\n  8 -> 18 [size =\"37095424\"]\n  9 [size=\"84958720\", alpha=\"0.10\", expect_size=\"33983488\"] \n  9 -> 15 [size =\"33983488\"]\n  9 -> 17 [size =\"33983488\"]\n  9 -> 18 [size =\"33983488\"]\n  10 [size=\"125975040\", alpha=\"0.10\", expect_size=\"50390016\"] \n  10 -> 15 [size =\"50390016\"]\n  10 -> 16 [size =\"50390016\"]\n  10 -> 18 [size =\"50390016\"]\n  10 -> 19 [size =\"50390016\"]\n  11 [size=\"130872320\", alpha=\"0.12\", expect_size=\"52348928\"] \n  11 -> 15 [size =\"52348928\"]\n  11 -> 18 [size =\"52348928\"]\n  11 -> 19 [size =\"52348928\"]\n  12 [size=\"34611200\", alpha=\"0.08\", expect_size=\"13844480\"] \n  12 -> 15 [size =\"13844480\"]\n  12 -> 18 [size =\"13844480\"]\n  12 -> 19 [size =\"13844480\"]\n  13 [size=\"120168960\", alpha=\"0.09\", expect_size=\"48067584\"] \n  13 -> 15 [size =\"48067584\"]\n  13 -> 18 [size =\"48067584\"]\n  14 [size=\"81589760\", alpha=\"0.11\", expect_size=\"32635904\"] \n  14 -> 15 [size =\"32635904\"]\n  14 -> 17 [size =\"32635904\"]\n  15 [size=\"82027520\", alpha=\"0.15\", expect_size=\"32811008\"] \n  15 -> 20 [size =\"32811008\"]\n  15 -> 21 [size =\"32811008\"]\n  16 [size=\"61903360\", alpha=\"0.08\", expect_size=\"24761344\"] \n  16 -> 20 [size =\"24761344\"]\n  16 -> 21 [size =\"24761344\"]\n  16 -> 22 [size =\"24761344\"]\n  16 -> 23 [size =\"24761344\"]\n  16 -> 24 [size =\"24761344\"]\n  17 [size=\"83156480\", alpha=\"0.04\", expect_size=\"33262592\"] \n  17 -> 21 [size =\"33262592\"]\n  17 -> 22 [size =\"33262592\"]\n  17 -> 24 [size =\"33262592\"]\n  18 [size=\"14609920\", alpha=\"0.17\", expect_size=\"5843968\"] \n  18 -> 20 [size =\"5843968\"]\n  18 -> 21 [size =\"5843968\"]\n  18 -> 23 [size =\"5843968\"]\n  18 -> 24 [size =\"5843968\"]\n  19 [size=\"34181120\", alpha=\"0.09\", expect_size=\"13672448\"] \n  19 -> 20 [size =\"13672448\"]\n  19 -> 21 [size =\"13672448\"]\n  19 -> 24 [size =\"13672448\"]\n  20 [size=\"92116480\", alpha=\"0.15\", expect_size=\"36846592\"] \n  20 -> 25 [size =\"36846592\"]\n  20 -> 26 [size =\"36846592\"]\n  20 -> 27 [size =\"36846592\"]\n  20 -> 28 [size =\"36846592\"]\n  20 -> 30 [size =\"36846592\"]\n  21 [size=\"31065600\", alpha=\"0.18\", expect_size=\"12426240\"] \n  21 -> 25 [size =\"12426240\"]\n  21 -> 26 [size =\"12426240\"]\n  21 -> 27 [size =\"12426240\"]\n  21 -> 28 [size =\"12426240\"]\n  22 [size=\"102827520\", alpha=\"0.09\", expect_size=\"41131008\"] \n  22 -> 25 [size =\"41131008\"]\n  22 -> 27 [size =\"41131008\"]\n  22 -> 28 [size =\"41131008\"]\n  22 -> 28 [size =\"41131008\"]\n  22 -> 29 [size =\"41131008\"]\n  23 [size=\"34831360\", alpha=\"0.10\", expect_size=\"13932544\"] \n  23 -> 25 [size =\"13932544\"]\n  23 -> 26 [size =\"13932544\"]\n  23 -> 27 [size =\"13932544\"]\n  23 -> 28 [size =\"13932544\"]\n  23 -> 29 [size =\"13932544\"]\n  24 [size=\"85736960\", alpha=\"0.17\", expect_size=\"34294784\"] \n  24 -> 25 [size =\"34294784\"]\n  24 -> 26 [size =\"34294784\"]\n  24 -> 27 [size =\"34294784\"]\n  24 -> 29 [size =\"34294784\"]\n  25 [size=\"30494720\", alpha=\"0.12\", expect_size=\"12197888\"] \n  25 -> 31 [size =\"12197888\"]\n  25 -> 33 [size =\"12197888\"]\n  25 -> 34 [size =\"12197888\"]\n  25 -> 36 [size =\"12197888\"]\n  25 -> 37 [size =\"12197888\"]\n  26 [size=\"118023680\", alpha=\"0.16\", expect_size=\"47209472\"] \n  26 -> 34 [size =\"47209472\"]\n  26 -> 36 [size =\"47209472\"]\n  27 [size=\"48407040\", alpha=\"0.15\", expect_size=\"19362816\"] \n  27 -> 31 [size =\"19362816\"]\n  27 -> 34 [size =\"19362816\"]\n  27 -> 35 [size =\"19362816\"]\n  27 -> 36 [size =\"19362816\"]\n  27 -> 37 [size =\"19362816\"]\n  28 [size=\"71649280\", alpha=\"0.07\", expect_size=\"28659712\"] \n  28 -> 31 [size =\"28659712\"]\n  28 -> 32 [size =\"28659712\"]\n  28 -> 34 [size =\"28659712\"]\n  28 -> 35 [size =\"28659712\"]\n  28 -> 36 [size =\"28659712\"]\n  28 -> 37 [size =\"28659712\"]\n  29 [size=\"54579200\", alpha=\"0.12\", expect_size=\"21831680\"] \n  29 -> 34 [size =\"21831680\"]\n  29 -> 37 [size =\"21831680\"]\n  30 [size=\"105187840\", alpha=\"0.16\", expect_size=\"42075136\"] \n  30 -> 31 [size =\"42075136\"]\n  30 -> 34 [size =\"42075136\"]\n  30 -> 35 [size =\"42075136\"]\n  30 -> 36 [size =\"42075136\"]\n  30 -> 37 [size =\"42075136\"]\n  31 [size=\"78264320\", alpha=\"0.00\", expect_size=\"31305728\"] \n  31 -> 38 [size =\"31305728\"]\n  31 -> 39 [size =\"31305728\"]\n  32 [size=\"69143040\", alpha=\"0.08\", expect_size=\"27657216\"] \n  32 -> 38 [size =\"27657216\"]\n  32 -> 40 [size =\"27657216\"]\n  33 [size=\"124106240\", alpha=\"0.13\", expect_size=\"49642496\"] \n  33 -> 38 [size =\"49642496\"]\n  34 [size=\"66009600\", alpha=\"0.11\", expect_size=\"26403840\"] \n  34 -> 38 [size =\"26403840\"]\n  35 [size=\"50759680\", alpha=\"0.20\", expect_size=\"20303872\"] \n  35 -> 38 [size =\"20303872\"]\n  36 [size=\"120696320\", alpha=\"0.17\", expect_size=\"48278528\"] \n  36 -> 39 [size =\"48278528\"]\n  37 [size=\"95408640\", alpha=\"0.06\", expect_size=\"38163456\"] \n  38 [size=\"65029120\", alpha=\"0.16\", expect_size=\"26011648\"] \n  39 [size=\"109196800\", alpha=\"0.09\", expect_size=\"43678720\"] \n  40 [size=\"63831040\", alpha=\"0.15\", expect_size=\"25532416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37455360\", alpha=\"0.18\", expect_size=\"14982144\"] \n  1 -> 2 [size =\"14982144\"]\n  2 [size=\"85278720\", alpha=\"0.16\", expect_size=\"34111488\"] \n  2 -> 3 [size =\"34111488\"]\n  3 [size=\"36510720\", alpha=\"0.02\", expect_size=\"14604288\"] \n  3 -> 4 [size =\"14604288\"]\n  4 [size=\"61355520\", alpha=\"0.10\", expect_size=\"24542208\"] \n  4 -> 5 [size =\"24542208\"]\n  5 [size=\"31800320\", alpha=\"0.10\", expect_size=\"12720128\"] \n  5 -> 6 [size =\"12720128\"]\n  6 [size=\"125237760\", alpha=\"0.08\", expect_size=\"50095104\"] \n  6 -> 7 [size =\"50095104\"]\n  7 [size=\"69071360\", alpha=\"0.10\", expect_size=\"27628544\"] \n  7 -> 8 [size =\"27628544\"]\n  8 [size=\"82572800\", alpha=\"0.06\", expect_size=\"33029120\"] \n  8 -> 9 [size =\"33029120\"]\n  9 [size=\"62172160\", alpha=\"0.19\", expect_size=\"24868864\"] \n  9 -> 10 [size =\"24868864\"]\n  10 [size=\"84625920\", alpha=\"0.03\", expect_size=\"33850368\"] \n  10 -> 11 [size =\"33850368\"]\n  11 [size=\"41280000\", alpha=\"0.02\", expect_size=\"16512000\"] \n  11 -> 12 [size =\"16512000\"]\n  12 [size=\"27573760\", alpha=\"0.18\", expect_size=\"11029504\"] \n  12 -> 13 [size =\"11029504\"]\n  13 [size=\"122380800\", alpha=\"0.14\", expect_size=\"48952320\"] \n  13 -> 14 [size =\"48952320\"]\n  14 [size=\"17361920\", alpha=\"0.14\", expect_size=\"6944768\"] \n  14 -> 15 [size =\"6944768\"]\n  15 [size=\"73889280\", alpha=\"0.10\", expect_size=\"29555712\"] \n  15 -> 16 [size =\"29555712\"]\n  16 [size=\"17177600\", alpha=\"0.14\", expect_size=\"6871040\"] \n  16 -> 17 [size =\"6871040\"]\n  17 [size=\"65920000\", alpha=\"0.12\", expect_size=\"26368000\"] \n  17 -> 18 [size =\"26368000\"]\n  18 [size=\"123115520\", alpha=\"0.02\", expect_size=\"49246208\"] \n  18 -> 19 [size =\"49246208\"]\n  19 [size=\"41886720\", alpha=\"0.00\", expect_size=\"16754688\"] \n  19 -> 20 [size =\"16754688\"]\n  20 [size=\"38684160\", alpha=\"0.20\", expect_size=\"15473664\"] \n  20 -> 21 [size =\"15473664\"]\n  21 [size=\"55902720\", alpha=\"0.03\", expect_size=\"22361088\"] \n  21 -> 22 [size =\"22361088\"]\n  22 [size=\"68328960\", alpha=\"0.19\", expect_size=\"27331584\"] \n  22 -> 23 [size =\"27331584\"]\n  23 [size=\"56394240\", alpha=\"0.19\", expect_size=\"22557696\"] \n  23 -> 24 [size =\"22557696\"]\n  24 [size=\"18979840\", alpha=\"0.07\", expect_size=\"7591936\"] \n  24 -> 25 [size =\"7591936\"]\n  25 [size=\"103764480\", alpha=\"0.18\", expect_size=\"41505792\"] \n  25 -> 26 [size =\"41505792\"]\n  26 [size=\"42275840\", alpha=\"0.09\", expect_size=\"16910336\"] \n  26 -> 27 [size =\"16910336\"]\n  27 [size=\"122777600\", alpha=\"0.08\", expect_size=\"49111040\"] \n  27 -> 28 [size =\"49111040\"]\n  28 [size=\"74009600\", alpha=\"0.20\", expect_size=\"29603840\"] \n  28 -> 29 [size =\"29603840\"]\n  29 [size=\"87068160\", alpha=\"0.20\", expect_size=\"34827264\"] \n  29 -> 30 [size =\"34827264\"]\n  30 [size=\"88058880\", alpha=\"0.12\", expect_size=\"35223552\"] \n  30 -> 31 [size =\"35223552\"]\n  31 [size=\"86374400\", alpha=\"0.08\", expect_size=\"34549760\"] \n  31 -> 32 [size =\"34549760\"]\n  32 [size=\"106362880\", alpha=\"0.08\", expect_size=\"42545152\"] \n  32 -> 33 [size =\"42545152\"]\n  33 [size=\"102231040\", alpha=\"0.05\", expect_size=\"40892416\"] \n  33 -> 34 [size =\"40892416\"]\n  34 [size=\"97382400\", alpha=\"0.04\", expect_size=\"38952960\"] \n  34 -> 35 [size =\"38952960\"]\n  35 [size=\"22105600\", alpha=\"0.12\", expect_size=\"8842240\"] \n  35 -> 36 [size =\"8842240\"]\n  36 [size=\"131023360\", alpha=\"0.02\", expect_size=\"52409344\"] \n  36 -> 37 [size =\"52409344\"]\n  37 [size=\"64404480\", alpha=\"0.00\", expect_size=\"25761792\"] \n  37 -> 38 [size =\"25761792\"]\n  38 [size=\"114147840\", alpha=\"0.17\", expect_size=\"45659136\"] \n  38 -> 39 [size =\"45659136\"]\n  39 [size=\"113789440\", alpha=\"0.19\", expect_size=\"45515776\"] \n  39 -> 40 [size =\"45515776\"]\n  40 [size=\"112394240\", alpha=\"0.05\", expect_size=\"44957696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67399680\", alpha=\"0.14\", expect_size=\"20219904\"] \n  1 -> 36 [size =\"20219904\"]\n  1 -> 39 [size =\"20219904\"]\n  2 [size=\"65358507\", alpha=\"0.02\", expect_size=\"19607552\"] \n  2 -> 27 [size =\"19607552\"]\n  2 -> 29 [size =\"19607552\"]\n  2 -> 30 [size =\"19607552\"]\n  2 -> 31 [size =\"19607552\"]\n  2 -> 33 [size =\"19607552\"]\n  2 -> 34 [size =\"19607552\"]\n  2 -> 35 [size =\"19607552\"]\n  2 -> 36 [size =\"19607552\"]\n  2 -> 38 [size =\"19607552\"]\n  2 -> 39 [size =\"19607552\"]\n  3 [size=\"104417280\", alpha=\"0.06\", expect_size=\"31325184\"] \n  3 -> 28 [size =\"31325184\"]\n  3 -> 32 [size =\"31325184\"]\n  3 -> 34 [size =\"31325184\"]\n  3 -> 37 [size =\"31325184\"]\n  3 -> 38 [size =\"31325184\"]\n  4 [size=\"107864747\", alpha=\"0.09\", expect_size=\"32359424\"] \n  4 -> 31 [size =\"32359424\"]\n  4 -> 33 [size =\"32359424\"]\n  4 -> 35 [size =\"32359424\"]\n  4 -> 38 [size =\"32359424\"]\n  5 [size=\"159484587\", alpha=\"0.07\", expect_size=\"47845376\"] \n  5 -> 29 [size =\"47845376\"]\n  5 -> 30 [size =\"47845376\"]\n  5 -> 31 [size =\"47845376\"]\n  5 -> 32 [size =\"47845376\"]\n  5 -> 35 [size =\"47845376\"]\n  5 -> 36 [size =\"47845376\"]\n  5 -> 38 [size =\"47845376\"]\n  6 [size=\"70109867\", alpha=\"0.12\", expect_size=\"21032960\"] \n  6 -> 28 [size =\"21032960\"]\n  6 -> 31 [size =\"21032960\"]\n  6 -> 36 [size =\"21032960\"]\n  6 -> 38 [size =\"21032960\"]\n  7 [size=\"19763200\", alpha=\"0.03\", expect_size=\"5928960\"] \n  7 -> 27 [size =\"5928960\"]\n  7 -> 28 [size =\"5928960\"]\n  7 -> 31 [size =\"5928960\"]\n  7 -> 35 [size =\"5928960\"]\n  7 -> 38 [size =\"5928960\"]\n  8 [size=\"62023680\", alpha=\"0.18\", expect_size=\"18607104\"] \n  8 -> 32 [size =\"18607104\"]\n  8 -> 35 [size =\"18607104\"]\n  8 -> 38 [size =\"18607104\"]\n  8 -> 39 [size =\"18607104\"]\n  9 [size=\"145674240\", alpha=\"0.08\", expect_size=\"43702272\"] \n  9 -> 27 [size =\"43702272\"]\n  9 -> 28 [size =\"43702272\"]\n  9 -> 29 [size =\"43702272\"]\n  9 -> 31 [size =\"43702272\"]\n  9 -> 33 [size =\"43702272\"]\n  9 -> 35 [size =\"43702272\"]\n  9 -> 36 [size =\"43702272\"]\n  10 [size=\"127866880\", alpha=\"0.11\", expect_size=\"38360064\"] \n  10 -> 27 [size =\"38360064\"]\n  10 -> 28 [size =\"38360064\"]\n  10 -> 31 [size =\"38360064\"]\n  10 -> 34 [size =\"38360064\"]\n  10 -> 35 [size =\"38360064\"]\n  10 -> 36 [size =\"38360064\"]\n  10 -> 38 [size =\"38360064\"]\n  11 [size=\"140796587\", alpha=\"0.18\", expect_size=\"42238976\"] \n  11 -> 28 [size =\"42238976\"]\n  11 -> 29 [size =\"42238976\"]\n  11 -> 35 [size =\"42238976\"]\n  11 -> 38 [size =\"42238976\"]\n  11 -> 39 [size =\"42238976\"]\n  12 [size=\"94313813\", alpha=\"0.07\", expect_size=\"28294144\"] \n  12 -> 27 [size =\"28294144\"]\n  12 -> 31 [size =\"28294144\"]\n  12 -> 35 [size =\"28294144\"]\n  13 [size=\"110602240\", alpha=\"0.13\", expect_size=\"33180672\"] \n  13 -> 27 [size =\"33180672\"]\n  13 -> 28 [size =\"33180672\"]\n  13 -> 30 [size =\"33180672\"]\n  13 -> 37 [size =\"33180672\"]\n  13 -> 40 [size =\"33180672\"]\n  14 [size=\"158969173\", alpha=\"0.17\", expect_size=\"47690752\"] \n  14 -> 27 [size =\"47690752\"]\n  14 -> 28 [size =\"47690752\"]\n  14 -> 29 [size =\"47690752\"]\n  14 -> 33 [size =\"47690752\"]\n  14 -> 35 [size =\"47690752\"]\n  15 [size=\"70966613\", alpha=\"0.17\", expect_size=\"21289984\"] \n  15 -> 28 [size =\"21289984\"]\n  15 -> 32 [size =\"21289984\"]\n  15 -> 33 [size =\"21289984\"]\n  15 -> 33 [size =\"21289984\"]\n  15 -> 36 [size =\"21289984\"]\n  15 -> 37 [size =\"21289984\"]\n  16 [size=\"127139840\", alpha=\"0.09\", expect_size=\"38141952\"] \n  16 -> 28 [size =\"38141952\"]\n  16 -> 29 [size =\"38141952\"]\n  16 -> 33 [size =\"38141952\"]\n  16 -> 38 [size =\"38141952\"]\n  16 -> 39 [size =\"38141952\"]\n  17 [size=\"61009920\", alpha=\"0.06\", expect_size=\"18302976\"] \n  17 -> 28 [size =\"18302976\"]\n  17 -> 31 [size =\"18302976\"]\n  17 -> 38 [size =\"18302976\"]\n  18 [size=\"82179413\", alpha=\"0.11\", expect_size=\"24653824\"] \n  18 -> 27 [size =\"24653824\"]\n  18 -> 28 [size =\"24653824\"]\n  18 -> 31 [size =\"24653824\"]\n  18 -> 35 [size =\"24653824\"]\n  18 -> 39 [size =\"24653824\"]\n  19 [size=\"67669333\", alpha=\"0.10\", expect_size=\"20300800\"] \n  19 -> 26 [size =\"20300800\"]\n  19 -> 30 [size =\"20300800\"]\n  19 -> 36 [size =\"20300800\"]\n  19 -> 40 [size =\"20300800\"]\n  20 [size=\"129310720\", alpha=\"0.17\", expect_size=\"38793216\"] \n  20 -> 30 [size =\"38793216\"]\n  20 -> 31 [size =\"38793216\"]\n  20 -> 32 [size =\"38793216\"]\n  20 -> 36 [size =\"38793216\"]\n  20 -> 37 [size =\"38793216\"]\n  20 -> 40 [size =\"38793216\"]\n  21 [size=\"55203840\", alpha=\"0.10\", expect_size=\"16561152\"] \n  21 -> 27 [size =\"16561152\"]\n  21 -> 30 [size =\"16561152\"]\n  21 -> 31 [size =\"16561152\"]\n  21 -> 33 [size =\"16561152\"]\n  21 -> 35 [size =\"16561152\"]\n  21 -> 37 [size =\"16561152\"]\n  22 [size=\"43168427\", alpha=\"0.09\", expect_size=\"12950528\"] \n  22 -> 28 [size =\"12950528\"]\n  22 -> 30 [size =\"12950528\"]\n  22 -> 31 [size =\"12950528\"]\n  22 -> 36 [size =\"12950528\"]\n  22 -> 37 [size =\"12950528\"]\n  23 [size=\"98577067\", alpha=\"0.20\", expect_size=\"29573120\"] \n  23 -> 26 [size =\"29573120\"]\n  23 -> 32 [size =\"29573120\"]\n  23 -> 35 [size =\"29573120\"]\n  23 -> 39 [size =\"29573120\"]\n  24 [size=\"43380053\", alpha=\"0.02\", expect_size=\"13014016\"] \n  24 -> 26 [size =\"13014016\"]\n  24 -> 28 [size =\"13014016\"]\n  24 -> 29 [size =\"13014016\"]\n  24 -> 31 [size =\"13014016\"]\n  24 -> 34 [size =\"13014016\"]\n  24 -> 38 [size =\"13014016\"]\n  25 [size=\"20995413\", alpha=\"0.02\", expect_size=\"6298624\"] \n  25 -> 30 [size =\"6298624\"]\n  25 -> 34 [size =\"6298624\"]\n  25 -> 38 [size =\"6298624\"]\n  26 [size=\"156890453\", alpha=\"0.08\", expect_size=\"47067136\"] \n  27 [size=\"72171520\", alpha=\"0.15\", expect_size=\"21651456\"] \n  28 [size=\"122412373\", alpha=\"0.08\", expect_size=\"36723712\"] \n  29 [size=\"54882987\", alpha=\"0.17\", expect_size=\"16464896\"] \n  30 [size=\"131188053\", alpha=\"0.20\", expect_size=\"39356416\"] \n  31 [size=\"104594773\", alpha=\"0.18\", expect_size=\"31378432\"] \n  32 [size=\"25023147\", alpha=\"0.07\", expect_size=\"7506944\"] \n  33 [size=\"97648640\", alpha=\"0.07\", expect_size=\"29294592\"] \n  34 [size=\"94842880\", alpha=\"0.05\", expect_size=\"28452864\"] \n  35 [size=\"106990933\", alpha=\"0.10\", expect_size=\"32097280\"] \n  36 [size=\"118814720\", alpha=\"0.09\", expect_size=\"35644416\"] \n  37 [size=\"25668267\", alpha=\"0.14\", expect_size=\"7700480\"] \n  38 [size=\"144407893\", alpha=\"0.06\", expect_size=\"43322368\"] \n  39 [size=\"47725227\", alpha=\"0.05\", expect_size=\"14317568\"] \n  40 [size=\"21104640\", alpha=\"0.19\", expect_size=\"6331392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53060267\", alpha=\"0.20\", expect_size=\"15918080\"] \n  1 -> 3 [size =\"15918080\"]\n  1 -> 4 [size =\"15918080\"]\n  2 [size=\"160669013\", alpha=\"0.19\", expect_size=\"48200704\"] \n  2 -> 3 [size =\"48200704\"]\n  2 -> 4 [size =\"48200704\"]\n  3 [size=\"103799467\", alpha=\"0.04\", expect_size=\"31139840\"] \n  3 -> 6 [size =\"31139840\"]\n  4 [size=\"155361280\", alpha=\"0.16\", expect_size=\"46608384\"] \n  4 -> 5 [size =\"46608384\"]\n  4 -> 6 [size =\"46608384\"]\n  4 -> 7 [size =\"46608384\"]\n  5 [size=\"31501653\", alpha=\"0.12\", expect_size=\"9450496\"] \n  5 -> 8 [size =\"9450496\"]\n  5 -> 9 [size =\"9450496\"]\n  6 [size=\"87466667\", alpha=\"0.10\", expect_size=\"26240000\"] \n  6 -> 8 [size =\"26240000\"]\n  7 [size=\"93327360\", alpha=\"0.05\", expect_size=\"27998208\"] \n  7 -> 9 [size =\"27998208\"]\n  8 [size=\"38826667\", alpha=\"0.08\", expect_size=\"11648000\"] \n  8 -> 10 [size =\"11648000\"]\n  9 [size=\"33972907\", alpha=\"0.16\", expect_size=\"10191872\"] \n  9 -> 10 [size =\"10191872\"]\n  9 -> 11 [size =\"10191872\"]\n  10 [size=\"114903040\", alpha=\"0.14\", expect_size=\"34470912\"] \n  10 -> 12 [size =\"34470912\"]\n  10 -> 13 [size =\"34470912\"]\n  10 -> 14 [size =\"34470912\"]\n  11 [size=\"103775573\", alpha=\"0.01\", expect_size=\"31132672\"] \n  11 -> 13 [size =\"31132672\"]\n  11 -> 14 [size =\"31132672\"]\n  12 [size=\"101874347\", alpha=\"0.05\", expect_size=\"30562304\"] \n  12 -> 15 [size =\"30562304\"]\n  12 -> 16 [size =\"30562304\"]\n  13 [size=\"97338027\", alpha=\"0.15\", expect_size=\"29201408\"] \n  13 -> 16 [size =\"29201408\"]\n  14 [size=\"131235840\", alpha=\"0.00\", expect_size=\"39370752\"] \n  14 -> 15 [size =\"39370752\"]\n  14 -> 17 [size =\"39370752\"]\n  15 [size=\"101529600\", alpha=\"0.07\", expect_size=\"30458880\"] \n  15 -> 18 [size =\"30458880\"]\n  16 [size=\"36113067\", alpha=\"0.02\", expect_size=\"10833920\"] \n  16 -> 19 [size =\"10833920\"]\n  16 -> 20 [size =\"10833920\"]\n  17 [size=\"115927040\", alpha=\"0.18\", expect_size=\"34778112\"] \n  17 -> 19 [size =\"34778112\"]\n  18 [size=\"155938133\", alpha=\"0.09\", expect_size=\"46781440\"] \n  18 -> 21 [size =\"46781440\"]\n  18 -> 22 [size =\"46781440\"]\n  19 [size=\"64580267\", alpha=\"0.16\", expect_size=\"19374080\"] \n  19 -> 21 [size =\"19374080\"]\n  19 -> 22 [size =\"19374080\"]\n  20 [size=\"36113067\", alpha=\"0.04\", expect_size=\"10833920\"] \n  21 [size=\"147295573\", alpha=\"0.16\", expect_size=\"44188672\"] \n  21 -> 23 [size =\"44188672\"]\n  21 -> 24 [size =\"44188672\"]\n  22 [size=\"158685867\", alpha=\"0.07\", expect_size=\"47605760\"] \n  22 -> 23 [size =\"47605760\"]\n  22 -> 24 [size =\"47605760\"]\n  22 -> 25 [size =\"47605760\"]\n  23 [size=\"38335147\", alpha=\"0.08\", expect_size=\"11500544\"] \n  23 -> 26 [size =\"11500544\"]\n  23 -> 28 [size =\"11500544\"]\n  24 [size=\"158559573\", alpha=\"0.08\", expect_size=\"47567872\"] \n  24 -> 27 [size =\"47567872\"]\n  25 [size=\"159245653\", alpha=\"0.09\", expect_size=\"47773696\"] \n  25 -> 26 [size =\"47773696\"]\n  25 -> 27 [size =\"47773696\"]\n  25 -> 28 [size =\"47773696\"]\n  26 [size=\"55572480\", alpha=\"0.18\", expect_size=\"16671744\"] \n  26 -> 30 [size =\"16671744\"]\n  27 [size=\"69376000\", alpha=\"0.18\", expect_size=\"20812800\"] \n  27 -> 29 [size =\"20812800\"]\n  27 -> 30 [size =\"20812800\"]\n  28 [size=\"55176533\", alpha=\"0.00\", expect_size=\"16552960\"] \n  28 -> 29 [size =\"16552960\"]\n  28 -> 30 [size =\"16552960\"]\n  29 [size=\"122569387\", alpha=\"0.05\", expect_size=\"36770816\"] \n  29 -> 32 [size =\"36770816\"]\n  29 -> 33 [size =\"36770816\"]\n  30 [size=\"87592960\", alpha=\"0.01\", expect_size=\"26277888\"] \n  30 -> 31 [size =\"26277888\"]\n  30 -> 32 [size =\"26277888\"]\n  30 -> 33 [size =\"26277888\"]\n  31 [size=\"115213653\", alpha=\"0.09\", expect_size=\"34564096\"] \n  31 -> 34 [size =\"34564096\"]\n  32 [size=\"83732480\", alpha=\"0.07\", expect_size=\"25119744\"] \n  32 -> 34 [size =\"25119744\"]\n  33 [size=\"136345600\", alpha=\"0.16\", expect_size=\"40903680\"] \n  33 -> 34 [size =\"40903680\"]\n  33 -> 35 [size =\"40903680\"]\n  34 [size=\"44806827\", alpha=\"0.19\", expect_size=\"13442048\"] \n  34 -> 36 [size =\"13442048\"]\n  34 -> 37 [size =\"13442048\"]\n  34 -> 38 [size =\"13442048\"]\n  35 [size=\"104287573\", alpha=\"0.13\", expect_size=\"31286272\"] \n  35 -> 36 [size =\"31286272\"]\n  35 -> 38 [size =\"31286272\"]\n  36 [size=\"171526827\", alpha=\"0.09\", expect_size=\"51458048\"] \n  36 -> 39 [size =\"51458048\"]\n  36 -> 40 [size =\"51458048\"]\n  37 [size=\"159242240\", alpha=\"0.18\", expect_size=\"47772672\"] \n  38 [size=\"143278080\", alpha=\"0.04\", expect_size=\"42983424\"] \n  38 -> 39 [size =\"42983424\"]\n  38 -> 40 [size =\"42983424\"]\n  39 [size=\"144988160\", alpha=\"0.16\", expect_size=\"43496448\"] \n  40 [size=\"23582720\", alpha=\"0.11\", expect_size=\"7074816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14825472\", alpha=\"0.01\", expect_size=\"7412736\"] \n  1 -> 2 [size =\"7412736\"]\n  2 [size=\"92098560\", alpha=\"0.08\", expect_size=\"46049280\"] \n  2 -> 3 [size =\"46049280\"]\n  3 [size=\"77981696\", alpha=\"0.16\", expect_size=\"38990848\"] \n  3 -> 4 [size =\"38990848\"]\n  4 [size=\"19142656\", alpha=\"0.02\", expect_size=\"9571328\"] \n  4 -> 5 [size =\"9571328\"]\n  5 [size=\"74065920\", alpha=\"0.17\", expect_size=\"37032960\"] \n  5 -> 6 [size =\"37032960\"]\n  6 [size=\"90798080\", alpha=\"0.01\", expect_size=\"45399040\"] \n  6 -> 7 [size =\"45399040\"]\n  7 [size=\"15757312\", alpha=\"0.10\", expect_size=\"7878656\"] \n  7 -> 8 [size =\"7878656\"]\n  8 [size=\"93032448\", alpha=\"0.14\", expect_size=\"46516224\"] \n  8 -> 9 [size =\"46516224\"]\n  9 [size=\"31442944\", alpha=\"0.07\", expect_size=\"15721472\"] \n  9 -> 10 [size =\"15721472\"]\n  10 [size=\"81991680\", alpha=\"0.15\", expect_size=\"40995840\"] \n  10 -> 11 [size =\"40995840\"]\n  11 [size=\"16963584\", alpha=\"0.11\", expect_size=\"8481792\"] \n  11 -> 12 [size =\"8481792\"]\n  12 [size=\"20168704\", alpha=\"0.09\", expect_size=\"10084352\"] \n  12 -> 13 [size =\"10084352\"]\n  13 [size=\"58308608\", alpha=\"0.20\", expect_size=\"29154304\"] \n  13 -> 14 [size =\"29154304\"]\n  14 [size=\"39161856\", alpha=\"0.05\", expect_size=\"19580928\"] \n  14 -> 15 [size =\"19580928\"]\n  15 [size=\"48863232\", alpha=\"0.19\", expect_size=\"24431616\"] \n  15 -> 16 [size =\"24431616\"]\n  16 [size=\"36866048\", alpha=\"0.20\", expect_size=\"18433024\"] \n  16 -> 17 [size =\"18433024\"]\n  17 [size=\"39725056\", alpha=\"0.16\", expect_size=\"19862528\"] \n  17 -> 18 [size =\"19862528\"]\n  18 [size=\"86163456\", alpha=\"0.20\", expect_size=\"43081728\"] \n  18 -> 19 [size =\"43081728\"]\n  19 [size=\"56915968\", alpha=\"0.04\", expect_size=\"28457984\"] \n  19 -> 20 [size =\"28457984\"]\n  20 [size=\"88147968\", alpha=\"0.16\", expect_size=\"44073984\"] \n  20 -> 21 [size =\"44073984\"]\n  21 [size=\"65355776\", alpha=\"0.09\", expect_size=\"32677888\"] \n  21 -> 22 [size =\"32677888\"]\n  22 [size=\"21499904\", alpha=\"0.20\", expect_size=\"10749952\"] \n  22 -> 23 [size =\"10749952\"]\n  23 [size=\"65357824\", alpha=\"0.05\", expect_size=\"32678912\"] \n  23 -> 24 [size =\"32678912\"]\n  24 [size=\"63860736\", alpha=\"0.11\", expect_size=\"31930368\"] \n  24 -> 25 [size =\"31930368\"]\n  25 [size=\"86376448\", alpha=\"0.11\", expect_size=\"43188224\"] \n  25 -> 26 [size =\"43188224\"]\n  26 [size=\"81557504\", alpha=\"0.08\", expect_size=\"40778752\"] \n  26 -> 27 [size =\"40778752\"]\n  27 [size=\"81250304\", alpha=\"0.06\", expect_size=\"40625152\"] \n  27 -> 28 [size =\"40625152\"]\n  28 [size=\"64425984\", alpha=\"0.02\", expect_size=\"32212992\"] \n  28 -> 29 [size =\"32212992\"]\n  29 [size=\"64180224\", alpha=\"0.02\", expect_size=\"32090112\"] \n  29 -> 30 [size =\"32090112\"]\n  30 [size=\"83269632\", alpha=\"0.18\", expect_size=\"41634816\"] \n  30 -> 31 [size =\"41634816\"]\n  31 [size=\"65642496\", alpha=\"0.14\", expect_size=\"32821248\"] \n  31 -> 32 [size =\"32821248\"]\n  32 [size=\"15640576\", alpha=\"0.13\", expect_size=\"7820288\"] \n  32 -> 33 [size =\"7820288\"]\n  33 [size=\"14876672\", alpha=\"0.02\", expect_size=\"7438336\"] \n  33 -> 34 [size =\"7438336\"]\n  34 [size=\"36476928\", alpha=\"0.17\", expect_size=\"18238464\"] \n  34 -> 35 [size =\"18238464\"]\n  35 [size=\"89098240\", alpha=\"0.20\", expect_size=\"44549120\"] \n  35 -> 36 [size =\"44549120\"]\n  36 [size=\"47581184\", alpha=\"0.08\", expect_size=\"23790592\"] \n  36 -> 37 [size =\"23790592\"]\n  37 [size=\"86607872\", alpha=\"0.03\", expect_size=\"43303936\"] \n  37 -> 38 [size =\"43303936\"]\n  38 [size=\"22708224\", alpha=\"0.14\", expect_size=\"11354112\"] \n  38 -> 39 [size =\"11354112\"]\n  39 [size=\"32802816\", alpha=\"0.15\", expect_size=\"16401408\"] \n  39 -> 40 [size =\"16401408\"]\n  40 [size=\"43476992\", alpha=\"0.12\", expect_size=\"21738496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125934080\", alpha=\"0.14\", expect_size=\"50373632\"] \n  1 -> 7 [size =\"50373632\"]\n  1 -> 10 [size =\"50373632\"]\n  1 -> 11 [size =\"50373632\"]\n  1 -> 12 [size =\"50373632\"]\n  1 -> 13 [size =\"50373632\"]\n  1 -> 14 [size =\"50373632\"]\n  2 [size=\"59123200\", alpha=\"0.04\", expect_size=\"23649280\"] \n  2 -> 7 [size =\"23649280\"]\n  2 -> 8 [size =\"23649280\"]\n  2 -> 9 [size =\"23649280\"]\n  2 -> 10 [size =\"23649280\"]\n  2 -> 13 [size =\"23649280\"]\n  2 -> 14 [size =\"23649280\"]\n  3 [size=\"15267840\", alpha=\"0.07\", expect_size=\"6107136\"] \n  3 -> 7 [size =\"6107136\"]\n  3 -> 8 [size =\"6107136\"]\n  3 -> 10 [size =\"6107136\"]\n  3 -> 11 [size =\"6107136\"]\n  3 -> 12 [size =\"6107136\"]\n  3 -> 13 [size =\"6107136\"]\n  3 -> 14 [size =\"6107136\"]\n  4 [size=\"39562240\", alpha=\"0.14\", expect_size=\"15824896\"] \n  4 -> 8 [size =\"15824896\"]\n  4 -> 9 [size =\"15824896\"]\n  4 -> 10 [size =\"15824896\"]\n  4 -> 11 [size =\"15824896\"]\n  4 -> 12 [size =\"15824896\"]\n  4 -> 14 [size =\"15824896\"]\n  5 [size=\"125237760\", alpha=\"0.10\", expect_size=\"50095104\"] \n  5 -> 7 [size =\"50095104\"]\n  5 -> 9 [size =\"50095104\"]\n  5 -> 10 [size =\"50095104\"]\n  5 -> 12 [size =\"50095104\"]\n  5 -> 14 [size =\"50095104\"]\n  6 [size=\"129702400\", alpha=\"0.18\", expect_size=\"51880960\"] \n  6 -> 7 [size =\"51880960\"]\n  6 -> 9 [size =\"51880960\"]\n  6 -> 10 [size =\"51880960\"]\n  6 -> 11 [size =\"51880960\"]\n  6 -> 12 [size =\"51880960\"]\n  6 -> 14 [size =\"51880960\"]\n  7 [size=\"55454720\", alpha=\"0.06\", expect_size=\"22181888\"] \n  7 -> 16 [size =\"22181888\"]\n  7 -> 17 [size =\"22181888\"]\n  7 -> 22 [size =\"22181888\"]\n  7 -> 22 [size =\"22181888\"]\n  8 [size=\"46522880\", alpha=\"0.18\", expect_size=\"18609152\"] \n  8 -> 15 [size =\"18609152\"]\n  8 -> 16 [size =\"18609152\"]\n  8 -> 19 [size =\"18609152\"]\n  9 [size=\"90690560\", alpha=\"0.17\", expect_size=\"36276224\"] \n  9 -> 16 [size =\"36276224\"]\n  9 -> 16 [size =\"36276224\"]\n  9 -> 17 [size =\"36276224\"]\n  9 -> 18 [size =\"36276224\"]\n  9 -> 19 [size =\"36276224\"]\n  9 -> 20 [size =\"36276224\"]\n  10 [size=\"83023360\", alpha=\"0.02\", expect_size=\"33209344\"] \n  10 -> 16 [size =\"33209344\"]\n  10 -> 19 [size =\"33209344\"]\n  10 -> 22 [size =\"33209344\"]\n  11 [size=\"65210880\", alpha=\"0.16\", expect_size=\"26084352\"] \n  11 -> 15 [size =\"26084352\"]\n  11 -> 16 [size =\"26084352\"]\n  11 -> 21 [size =\"26084352\"]\n  11 -> 22 [size =\"26084352\"]\n  12 [size=\"28608000\", alpha=\"0.13\", expect_size=\"11443200\"] \n  12 -> 16 [size =\"11443200\"]\n  12 -> 20 [size =\"11443200\"]\n  12 -> 22 [size =\"11443200\"]\n  13 [size=\"52928000\", alpha=\"0.09\", expect_size=\"21171200\"] \n  13 -> 16 [size =\"21171200\"]\n  13 -> 21 [size =\"21171200\"]\n  13 -> 22 [size =\"21171200\"]\n  14 [size=\"93271040\", alpha=\"0.02\", expect_size=\"37308416\"] \n  14 -> 15 [size =\"37308416\"]\n  14 -> 20 [size =\"37308416\"]\n  14 -> 21 [size =\"37308416\"]\n  14 -> 22 [size =\"37308416\"]\n  15 [size=\"55761920\", alpha=\"0.06\", expect_size=\"22304768\"] \n  15 -> 23 [size =\"22304768\"]\n  15 -> 24 [size =\"22304768\"]\n  15 -> 26 [size =\"22304768\"]\n  15 -> 27 [size =\"22304768\"]\n  15 -> 28 [size =\"22304768\"]\n  16 [size=\"116887040\", alpha=\"0.07\", expect_size=\"46754816\"] \n  16 -> 25 [size =\"46754816\"]\n  16 -> 27 [size =\"46754816\"]\n  16 -> 28 [size =\"46754816\"]\n  17 [size=\"102461440\", alpha=\"0.02\", expect_size=\"40984576\"] \n  17 -> 24 [size =\"40984576\"]\n  17 -> 27 [size =\"40984576\"]\n  17 -> 28 [size =\"40984576\"]\n  18 [size=\"17479680\", alpha=\"0.13\", expect_size=\"6991872\"] \n  18 -> 23 [size =\"6991872\"]\n  18 -> 24 [size =\"6991872\"]\n  18 -> 28 [size =\"6991872\"]\n  19 [size=\"122982400\", alpha=\"0.17\", expect_size=\"49192960\"] \n  19 -> 24 [size =\"49192960\"]\n  19 -> 26 [size =\"49192960\"]\n  19 -> 28 [size =\"49192960\"]\n  20 [size=\"107363840\", alpha=\"0.13\", expect_size=\"42945536\"] \n  20 -> 25 [size =\"42945536\"]\n  20 -> 28 [size =\"42945536\"]\n  21 [size=\"120309760\", alpha=\"0.09\", expect_size=\"48123904\"] \n  21 -> 23 [size =\"48123904\"]\n  21 -> 24 [size =\"48123904\"]\n  21 -> 25 [size =\"48123904\"]\n  22 [size=\"94126080\", alpha=\"0.12\", expect_size=\"37650432\"] \n  22 -> 24 [size =\"37650432\"]\n  22 -> 25 [size =\"37650432\"]\n  23 [size=\"53009920\", alpha=\"0.16\", expect_size=\"21203968\"] \n  23 -> 30 [size =\"21203968\"]\n  23 -> 30 [size =\"21203968\"]\n  24 [size=\"106593280\", alpha=\"0.04\", expect_size=\"42637312\"] \n  24 -> 29 [size =\"42637312\"]\n  24 -> 30 [size =\"42637312\"]\n  24 -> 31 [size =\"42637312\"]\n  24 -> 32 [size =\"42637312\"]\n  25 [size=\"116349440\", alpha=\"0.12\", expect_size=\"46539776\"] \n  25 -> 30 [size =\"46539776\"]\n  26 [size=\"33259520\", alpha=\"0.19\", expect_size=\"13303808\"] \n  26 -> 30 [size =\"13303808\"]\n  26 -> 32 [size =\"13303808\"]\n  27 [size=\"74654720\", alpha=\"0.13\", expect_size=\"29861888\"] \n  27 -> 31 [size =\"29861888\"]\n  28 [size=\"88258560\", alpha=\"0.13\", expect_size=\"35303424\"] \n  28 -> 29 [size =\"35303424\"]\n  28 -> 30 [size =\"35303424\"]\n  28 -> 31 [size =\"35303424\"]\n  29 [size=\"47802880\", alpha=\"0.06\", expect_size=\"19121152\"] \n  29 -> 33 [size =\"19121152\"]\n  29 -> 34 [size =\"19121152\"]\n  29 -> 35 [size =\"19121152\"]\n  29 -> 37 [size =\"19121152\"]\n  29 -> 39 [size =\"19121152\"]\n  30 [size=\"29498880\", alpha=\"0.11\", expect_size=\"11799552\"] \n  30 -> 33 [size =\"11799552\"]\n  30 -> 34 [size =\"11799552\"]\n  30 -> 35 [size =\"11799552\"]\n  30 -> 36 [size =\"11799552\"]\n  30 -> 37 [size =\"11799552\"]\n  30 -> 38 [size =\"11799552\"]\n  30 -> 39 [size =\"11799552\"]\n  30 -> 40 [size =\"11799552\"]\n  31 [size=\"108369920\", alpha=\"0.04\", expect_size=\"43347968\"] \n  31 -> 33 [size =\"43347968\"]\n  31 -> 34 [size =\"43347968\"]\n  31 -> 35 [size =\"43347968\"]\n  31 -> 37 [size =\"43347968\"]\n  31 -> 39 [size =\"43347968\"]\n  31 -> 40 [size =\"43347968\"]\n  32 [size=\"43345920\", alpha=\"0.01\", expect_size=\"17338368\"] \n  32 -> 33 [size =\"17338368\"]\n  32 -> 34 [size =\"17338368\"]\n  32 -> 35 [size =\"17338368\"]\n  32 -> 37 [size =\"17338368\"]\n  32 -> 38 [size =\"17338368\"]\n  32 -> 39 [size =\"17338368\"]\n  32 -> 40 [size =\"17338368\"]\n  33 [size=\"116377600\", alpha=\"0.04\", expect_size=\"46551040\"] \n  34 [size=\"93690880\", alpha=\"0.01\", expect_size=\"37476352\"] \n  35 [size=\"119710720\", alpha=\"0.05\", expect_size=\"47884288\"] \n  36 [size=\"70638080\", alpha=\"0.06\", expect_size=\"28255232\"] \n  37 [size=\"63068160\", alpha=\"0.03\", expect_size=\"25227264\"] \n  38 [size=\"21386240\", alpha=\"0.00\", expect_size=\"8554496\"] \n  39 [size=\"96972800\", alpha=\"0.16\", expect_size=\"38789120\"] \n  40 [size=\"13521920\", alpha=\"0.08\", expect_size=\"5408768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76753920\", alpha=\"0.02\", expect_size=\"30701568\"] \n  1 -> 29 [size =\"30701568\"]\n  1 -> 32 [size =\"30701568\"]\n  1 -> 35 [size =\"30701568\"]\n  1 -> 36 [size =\"30701568\"]\n  1 -> 36 [size =\"30701568\"]\n  1 -> 37 [size =\"30701568\"]\n  1 -> 38 [size =\"30701568\"]\n  2 [size=\"106275840\", alpha=\"0.15\", expect_size=\"42510336\"] \n  2 -> 29 [size =\"42510336\"]\n  2 -> 32 [size =\"42510336\"]\n  2 -> 34 [size =\"42510336\"]\n  2 -> 36 [size =\"42510336\"]\n  2 -> 37 [size =\"42510336\"]\n  2 -> 40 [size =\"42510336\"]\n  3 [size=\"48460800\", alpha=\"0.18\", expect_size=\"19384320\"] \n  3 -> 29 [size =\"19384320\"]\n  3 -> 31 [size =\"19384320\"]\n  3 -> 32 [size =\"19384320\"]\n  3 -> 36 [size =\"19384320\"]\n  3 -> 40 [size =\"19384320\"]\n  4 [size=\"75484160\", alpha=\"0.18\", expect_size=\"30193664\"] \n  4 -> 29 [size =\"30193664\"]\n  4 -> 31 [size =\"30193664\"]\n  4 -> 32 [size =\"30193664\"]\n  4 -> 36 [size =\"30193664\"]\n  5 [size=\"51292160\", alpha=\"0.20\", expect_size=\"20516864\"] \n  5 -> 29 [size =\"20516864\"]\n  5 -> 30 [size =\"20516864\"]\n  5 -> 32 [size =\"20516864\"]\n  5 -> 33 [size =\"20516864\"]\n  5 -> 36 [size =\"20516864\"]\n  6 [size=\"96704000\", alpha=\"0.11\", expect_size=\"38681600\"] \n  6 -> 29 [size =\"38681600\"]\n  6 -> 32 [size =\"38681600\"]\n  6 -> 33 [size =\"38681600\"]\n  6 -> 35 [size =\"38681600\"]\n  6 -> 36 [size =\"38681600\"]\n  6 -> 40 [size =\"38681600\"]\n  7 [size=\"91015680\", alpha=\"0.09\", expect_size=\"36406272\"] \n  7 -> 29 [size =\"36406272\"]\n  7 -> 30 [size =\"36406272\"]\n  7 -> 32 [size =\"36406272\"]\n  7 -> 34 [size =\"36406272\"]\n  7 -> 36 [size =\"36406272\"]\n  7 -> 37 [size =\"36406272\"]\n  7 -> 40 [size =\"36406272\"]\n  8 [size=\"85862400\", alpha=\"0.14\", expect_size=\"34344960\"] \n  8 -> 29 [size =\"34344960\"]\n  8 -> 30 [size =\"34344960\"]\n  8 -> 31 [size =\"34344960\"]\n  8 -> 34 [size =\"34344960\"]\n  8 -> 35 [size =\"34344960\"]\n  8 -> 36 [size =\"34344960\"]\n  9 [size=\"36103680\", alpha=\"0.04\", expect_size=\"14441472\"] \n  9 -> 29 [size =\"14441472\"]\n  9 -> 30 [size =\"14441472\"]\n  9 -> 34 [size =\"14441472\"]\n  9 -> 37 [size =\"14441472\"]\n  10 [size=\"15060480\", alpha=\"0.02\", expect_size=\"6024192\"] \n  10 -> 30 [size =\"6024192\"]\n  10 -> 30 [size =\"6024192\"]\n  10 -> 33 [size =\"6024192\"]\n  10 -> 37 [size =\"6024192\"]\n  10 -> 40 [size =\"6024192\"]\n  11 [size=\"109153280\", alpha=\"0.07\", expect_size=\"43661312\"] \n  11 -> 30 [size =\"43661312\"]\n  11 -> 31 [size =\"43661312\"]\n  11 -> 37 [size =\"43661312\"]\n  11 -> 40 [size =\"43661312\"]\n  12 [size=\"121899520\", alpha=\"0.10\", expect_size=\"48759808\"] \n  12 -> 29 [size =\"48759808\"]\n  12 -> 30 [size =\"48759808\"]\n  12 -> 32 [size =\"48759808\"]\n  12 -> 33 [size =\"48759808\"]\n  12 -> 34 [size =\"48759808\"]\n  12 -> 36 [size =\"48759808\"]\n  13 [size=\"93063680\", alpha=\"0.12\", expect_size=\"37225472\"] \n  13 -> 29 [size =\"37225472\"]\n  13 -> 30 [size =\"37225472\"]\n  13 -> 31 [size =\"37225472\"]\n  13 -> 32 [size =\"37225472\"]\n  13 -> 34 [size =\"37225472\"]\n  13 -> 36 [size =\"37225472\"]\n  13 -> 37 [size =\"37225472\"]\n  13 -> 40 [size =\"37225472\"]\n  14 [size=\"79953920\", alpha=\"0.18\", expect_size=\"31981568\"] \n  14 -> 30 [size =\"31981568\"]\n  14 -> 30 [size =\"31981568\"]\n  14 -> 35 [size =\"31981568\"]\n  14 -> 37 [size =\"31981568\"]\n  14 -> 38 [size =\"31981568\"]\n  15 [size=\"68385280\", alpha=\"0.11\", expect_size=\"27354112\"] \n  15 -> 29 [size =\"27354112\"]\n  15 -> 30 [size =\"27354112\"]\n  15 -> 31 [size =\"27354112\"]\n  15 -> 35 [size =\"27354112\"]\n  15 -> 38 [size =\"27354112\"]\n  15 -> 40 [size =\"27354112\"]\n  16 [size=\"66775040\", alpha=\"0.17\", expect_size=\"26710016\"] \n  16 -> 29 [size =\"26710016\"]\n  16 -> 30 [size =\"26710016\"]\n  16 -> 32 [size =\"26710016\"]\n  16 -> 33 [size =\"26710016\"]\n  16 -> 37 [size =\"26710016\"]\n  16 -> 38 [size =\"26710016\"]\n  17 [size=\"129303040\", alpha=\"0.19\", expect_size=\"51721216\"] \n  17 -> 29 [size =\"51721216\"]\n  17 -> 30 [size =\"51721216\"]\n  17 -> 32 [size =\"51721216\"]\n  17 -> 35 [size =\"51721216\"]\n  17 -> 37 [size =\"51721216\"]\n  17 -> 40 [size =\"51721216\"]\n  18 [size=\"64768000\", alpha=\"0.05\", expect_size=\"25907200\"] \n  18 -> 29 [size =\"25907200\"]\n  18 -> 30 [size =\"25907200\"]\n  18 -> 31 [size =\"25907200\"]\n  18 -> 32 [size =\"25907200\"]\n  18 -> 33 [size =\"25907200\"]\n  18 -> 35 [size =\"25907200\"]\n  18 -> 36 [size =\"25907200\"]\n  18 -> 40 [size =\"25907200\"]\n  19 [size=\"30958080\", alpha=\"0.09\", expect_size=\"12383232\"] \n  19 -> 29 [size =\"12383232\"]\n  19 -> 30 [size =\"12383232\"]\n  19 -> 32 [size =\"12383232\"]\n  19 -> 33 [size =\"12383232\"]\n  19 -> 33 [size =\"12383232\"]\n  19 -> 35 [size =\"12383232\"]\n  19 -> 36 [size =\"12383232\"]\n  19 -> 38 [size =\"12383232\"]\n  19 -> 40 [size =\"12383232\"]\n  20 [size=\"56348160\", alpha=\"0.07\", expect_size=\"22539264\"] \n  20 -> 29 [size =\"22539264\"]\n  20 -> 30 [size =\"22539264\"]\n  20 -> 32 [size =\"22539264\"]\n  20 -> 33 [size =\"22539264\"]\n  20 -> 34 [size =\"22539264\"]\n  20 -> 37 [size =\"22539264\"]\n  20 -> 38 [size =\"22539264\"]\n  21 [size=\"65287680\", alpha=\"0.15\", expect_size=\"26115072\"] \n  21 -> 29 [size =\"26115072\"]\n  21 -> 30 [size =\"26115072\"]\n  21 -> 31 [size =\"26115072\"]\n  21 -> 32 [size =\"26115072\"]\n  21 -> 33 [size =\"26115072\"]\n  21 -> 34 [size =\"26115072\"]\n  21 -> 37 [size =\"26115072\"]\n  22 [size=\"106490880\", alpha=\"0.19\", expect_size=\"42596352\"] \n  22 -> 29 [size =\"42596352\"]\n  22 -> 30 [size =\"42596352\"]\n  22 -> 32 [size =\"42596352\"]\n  22 -> 32 [size =\"42596352\"]\n  22 -> 34 [size =\"42596352\"]\n  22 -> 34 [size =\"42596352\"]\n  22 -> 35 [size =\"42596352\"]\n  22 -> 36 [size =\"42596352\"]\n  22 -> 40 [size =\"42596352\"]\n  23 [size=\"50437120\", alpha=\"0.09\", expect_size=\"20174848\"] \n  23 -> 29 [size =\"20174848\"]\n  23 -> 30 [size =\"20174848\"]\n  23 -> 32 [size =\"20174848\"]\n  23 -> 34 [size =\"20174848\"]\n  23 -> 34 [size =\"20174848\"]\n  23 -> 35 [size =\"20174848\"]\n  23 -> 36 [size =\"20174848\"]\n  24 [size=\"118955520\", alpha=\"0.10\", expect_size=\"47582208\"] \n  24 -> 29 [size =\"47582208\"]\n  24 -> 30 [size =\"47582208\"]\n  24 -> 31 [size =\"47582208\"]\n  24 -> 33 [size =\"47582208\"]\n  24 -> 34 [size =\"47582208\"]\n  24 -> 35 [size =\"47582208\"]\n  24 -> 36 [size =\"47582208\"]\n  24 -> 40 [size =\"47582208\"]\n  25 [size=\"106920960\", alpha=\"0.18\", expect_size=\"42768384\"] \n  25 -> 31 [size =\"42768384\"]\n  25 -> 32 [size =\"42768384\"]\n  25 -> 33 [size =\"42768384\"]\n  25 -> 35 [size =\"42768384\"]\n  25 -> 36 [size =\"42768384\"]\n  25 -> 39 [size =\"42768384\"]\n  25 -> 40 [size =\"42768384\"]\n  26 [size=\"52336640\", alpha=\"0.19\", expect_size=\"20934656\"] \n  26 -> 29 [size =\"20934656\"]\n  26 -> 30 [size =\"20934656\"]\n  26 -> 31 [size =\"20934656\"]\n  26 -> 32 [size =\"20934656\"]\n  26 -> 35 [size =\"20934656\"]\n  26 -> 36 [size =\"20934656\"]\n  26 -> 37 [size =\"20934656\"]\n  26 -> 40 [size =\"20934656\"]\n  27 [size=\"36961280\", alpha=\"0.14\", expect_size=\"14784512\"] \n  27 -> 30 [size =\"14784512\"]\n  27 -> 32 [size =\"14784512\"]\n  27 -> 34 [size =\"14784512\"]\n  27 -> 35 [size =\"14784512\"]\n  27 -> 36 [size =\"14784512\"]\n  27 -> 36 [size =\"14784512\"]\n  27 -> 40 [size =\"14784512\"]\n  28 [size=\"32417280\", alpha=\"0.01\", expect_size=\"12966912\"] \n  28 -> 30 [size =\"12966912\"]\n  28 -> 32 [size =\"12966912\"]\n  28 -> 34 [size =\"12966912\"]\n  28 -> 35 [size =\"12966912\"]\n  28 -> 36 [size =\"12966912\"]\n  28 -> 37 [size =\"12966912\"]\n  29 [size=\"64757760\", alpha=\"0.12\", expect_size=\"25903104\"] \n  30 [size=\"116945920\", alpha=\"0.03\", expect_size=\"46778368\"] \n  31 [size=\"37381120\", alpha=\"0.10\", expect_size=\"14952448\"] \n  32 [size=\"125644800\", alpha=\"0.16\", expect_size=\"50257920\"] \n  33 [size=\"121008640\", alpha=\"0.16\", expect_size=\"48403456\"] \n  34 [size=\"58828800\", alpha=\"0.07\", expect_size=\"23531520\"] \n  35 [size=\"119444480\", alpha=\"0.07\", expect_size=\"47777792\"] \n  36 [size=\"105116160\", alpha=\"0.16\", expect_size=\"42046464\"] \n  37 [size=\"99440640\", alpha=\"0.05\", expect_size=\"39776256\"] \n  38 [size=\"62359040\", alpha=\"0.03\", expect_size=\"24943616\"] \n  39 [size=\"66634240\", alpha=\"0.04\", expect_size=\"26653696\"] \n  40 [size=\"17295360\", alpha=\"0.12\", expect_size=\"6918144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150036480\", alpha=\"0.04\", expect_size=\"45010944\"] \n  1 -> 7 [size =\"45010944\"]\n  1 -> 8 [size =\"45010944\"]\n  1 -> 11 [size =\"45010944\"]\n  2 [size=\"159747413\", alpha=\"0.12\", expect_size=\"47924224\"] \n  2 -> 7 [size =\"47924224\"]\n  2 -> 8 [size =\"47924224\"]\n  3 [size=\"96375467\", alpha=\"0.01\", expect_size=\"28912640\"] \n  3 -> 9 [size =\"28912640\"]\n  3 -> 11 [size =\"28912640\"]\n  4 [size=\"71748267\", alpha=\"0.04\", expect_size=\"21524480\"] \n  4 -> 8 [size =\"21524480\"]\n  4 -> 10 [size =\"21524480\"]\n  5 [size=\"72287573\", alpha=\"0.14\", expect_size=\"21686272\"] \n  5 -> 10 [size =\"21686272\"]\n  6 [size=\"72898560\", alpha=\"0.15\", expect_size=\"21869568\"] \n  6 -> 7 [size =\"21869568\"]\n  6 -> 8 [size =\"21869568\"]\n  7 [size=\"43380053\", alpha=\"0.01\", expect_size=\"13014016\"] \n  7 -> 17 [size =\"13014016\"]\n  8 [size=\"157716480\", alpha=\"0.02\", expect_size=\"47314944\"] \n  8 -> 14 [size =\"47314944\"]\n  8 -> 17 [size =\"47314944\"]\n  9 [size=\"90965333\", alpha=\"0.15\", expect_size=\"27289600\"] \n  9 -> 16 [size =\"27289600\"]\n  9 -> 17 [size =\"27289600\"]\n  10 [size=\"77073067\", alpha=\"0.09\", expect_size=\"23121920\"] \n  10 -> 12 [size =\"23121920\"]\n  10 -> 13 [size =\"23121920\"]\n  11 [size=\"139212800\", alpha=\"0.18\", expect_size=\"41763840\"] \n  11 -> 15 [size =\"41763840\"]\n  12 [size=\"174189227\", alpha=\"0.05\", expect_size=\"52256768\"] \n  12 -> 19 [size =\"52256768\"]\n  12 -> 20 [size =\"52256768\"]\n  13 [size=\"113807360\", alpha=\"0.11\", expect_size=\"34142208\"] \n  13 -> 18 [size =\"34142208\"]\n  13 -> 23 [size =\"34142208\"]\n  14 [size=\"122320213\", alpha=\"0.05\", expect_size=\"36696064\"] \n  15 [size=\"155907413\", alpha=\"0.01\", expect_size=\"46772224\"] \n  15 -> 19 [size =\"46772224\"]\n  15 -> 21 [size =\"46772224\"]\n  16 [size=\"107765760\", alpha=\"0.18\", expect_size=\"32329728\"] \n  16 -> 18 [size =\"32329728\"]\n  16 -> 19 [size =\"32329728\"]\n  16 -> 20 [size =\"32329728\"]\n  16 -> 22 [size =\"32329728\"]\n  17 [size=\"70676480\", alpha=\"0.00\", expect_size=\"21202944\"] \n  17 -> 20 [size =\"21202944\"]\n  17 -> 23 [size =\"21202944\"]\n  18 [size=\"78533973\", alpha=\"0.13\", expect_size=\"23560192\"] \n  18 -> 24 [size =\"23560192\"]\n  18 -> 27 [size =\"23560192\"]\n  18 -> 29 [size =\"23560192\"]\n  19 [size=\"94877013\", alpha=\"0.08\", expect_size=\"28463104\"] \n  19 -> 25 [size =\"28463104\"]\n  19 -> 27 [size =\"28463104\"]\n  19 -> 28 [size =\"28463104\"]\n  20 [size=\"54975147\", alpha=\"0.03\", expect_size=\"16492544\"] \n  20 -> 25 [size =\"16492544\"]\n  20 -> 28 [size =\"16492544\"]\n  21 [size=\"129658880\", alpha=\"0.14\", expect_size=\"38897664\"] \n  21 -> 25 [size =\"38897664\"]\n  22 [size=\"111104000\", alpha=\"0.04\", expect_size=\"33331200\"] \n  22 -> 24 [size =\"33331200\"]\n  22 -> 25 [size =\"33331200\"]\n  22 -> 28 [size =\"33331200\"]\n  23 [size=\"147353600\", alpha=\"0.03\", expect_size=\"44206080\"] \n  23 -> 24 [size =\"44206080\"]\n  23 -> 26 [size =\"44206080\"]\n  23 -> 27 [size =\"44206080\"]\n  24 [size=\"73816747\", alpha=\"0.10\", expect_size=\"22145024\"] \n  24 -> 30 [size =\"22145024\"]\n  24 -> 32 [size =\"22145024\"]\n  24 -> 34 [size =\"22145024\"]\n  25 [size=\"115316053\", alpha=\"0.03\", expect_size=\"34594816\"] \n  26 [size=\"125088427\", alpha=\"0.03\", expect_size=\"37526528\"] \n  26 -> 32 [size =\"37526528\"]\n  26 -> 35 [size =\"37526528\"]\n  27 [size=\"111404373\", alpha=\"0.07\", expect_size=\"33421312\"] \n  27 -> 31 [size =\"33421312\"]\n  27 -> 33 [size =\"33421312\"]\n  28 [size=\"114216960\", alpha=\"0.09\", expect_size=\"34265088\"] \n  28 -> 30 [size =\"34265088\"]\n  28 -> 34 [size =\"34265088\"]\n  28 -> 35 [size =\"34265088\"]\n  29 [size=\"59286187\", alpha=\"0.20\", expect_size=\"17785856\"] \n  29 -> 30 [size =\"17785856\"]\n  29 -> 34 [size =\"17785856\"]\n  30 [size=\"123057493\", alpha=\"0.18\", expect_size=\"36917248\"] \n  30 -> 39 [size =\"36917248\"]\n  30 -> 40 [size =\"36917248\"]\n  31 [size=\"144107520\", alpha=\"0.12\", expect_size=\"43232256\"] \n  31 -> 36 [size =\"43232256\"]\n  31 -> 38 [size =\"43232256\"]\n  31 -> 40 [size =\"43232256\"]\n  32 [size=\"97710080\", alpha=\"0.06\", expect_size=\"29313024\"] \n  32 -> 36 [size =\"29313024\"]\n  32 -> 38 [size =\"29313024\"]\n  33 [size=\"126143147\", alpha=\"0.12\", expect_size=\"37842944\"] \n  34 [size=\"151012693\", alpha=\"0.12\", expect_size=\"45303808\"] \n  34 -> 37 [size =\"45303808\"]\n  34 -> 40 [size =\"45303808\"]\n  35 [size=\"69314560\", alpha=\"0.09\", expect_size=\"20794368\"] \n  36 [size=\"93146453\", alpha=\"0.18\", expect_size=\"27943936\"] \n  37 [size=\"120640853\", alpha=\"0.13\", expect_size=\"36192256\"] \n  38 [size=\"20418560\", alpha=\"0.16\", expect_size=\"6125568\"] \n  39 [size=\"90009600\", alpha=\"0.09\", expect_size=\"27002880\"] \n  40 [size=\"88333653\", alpha=\"0.07\", expect_size=\"26500096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31082496\", alpha=\"0.02\", expect_size=\"15541248\"] \n  1 -> 3 [size =\"15541248\"]\n  1 -> 4 [size =\"15541248\"]\n  2 [size=\"27856896\", alpha=\"0.16\", expect_size=\"13928448\"] \n  2 -> 3 [size =\"13928448\"]\n  2 -> 5 [size =\"13928448\"]\n  3 [size=\"83359744\", alpha=\"0.15\", expect_size=\"41679872\"] \n  3 -> 7 [size =\"41679872\"]\n  4 [size=\"70907904\", alpha=\"0.09\", expect_size=\"35453952\"] \n  4 -> 6 [size =\"35453952\"]\n  4 -> 7 [size =\"35453952\"]\n  4 -> 8 [size =\"35453952\"]\n  5 [size=\"66807808\", alpha=\"0.17\", expect_size=\"33403904\"] \n  5 -> 6 [size =\"33403904\"]\n  5 -> 7 [size =\"33403904\"]\n  6 [size=\"94750720\", alpha=\"0.12\", expect_size=\"47375360\"] \n  6 -> 9 [size =\"47375360\"]\n  7 [size=\"100065280\", alpha=\"0.06\", expect_size=\"50032640\"] \n  7 -> 10 [size =\"50032640\"]\n  8 [size=\"64423936\", alpha=\"0.06\", expect_size=\"32211968\"] \n  8 -> 9 [size =\"32211968\"]\n  9 [size=\"101974016\", alpha=\"0.20\", expect_size=\"50987008\"] \n  9 -> 11 [size =\"50987008\"]\n  9 -> 12 [size =\"50987008\"]\n  9 -> 13 [size =\"50987008\"]\n  10 [size=\"94994432\", alpha=\"0.06\", expect_size=\"47497216\"] \n  10 -> 11 [size =\"47497216\"]\n  10 -> 12 [size =\"47497216\"]\n  11 [size=\"46120960\", alpha=\"0.11\", expect_size=\"23060480\"] \n  11 -> 14 [size =\"23060480\"]\n  11 -> 15 [size =\"23060480\"]\n  11 -> 16 [size =\"23060480\"]\n  12 [size=\"56535040\", alpha=\"0.10\", expect_size=\"28267520\"] \n  12 -> 14 [size =\"28267520\"]\n  13 [size=\"39057408\", alpha=\"0.12\", expect_size=\"19528704\"] \n  13 -> 14 [size =\"19528704\"]\n  13 -> 16 [size =\"19528704\"]\n  14 [size=\"14348288\", alpha=\"0.13\", expect_size=\"7174144\"] \n  14 -> 17 [size =\"7174144\"]\n  14 -> 19 [size =\"7174144\"]\n  15 [size=\"57622528\", alpha=\"0.19\", expect_size=\"28811264\"] \n  15 -> 17 [size =\"28811264\"]\n  15 -> 18 [size =\"28811264\"]\n  15 -> 19 [size =\"28811264\"]\n  16 [size=\"44111872\", alpha=\"0.03\", expect_size=\"22055936\"] \n  16 -> 17 [size =\"22055936\"]\n  16 -> 19 [size =\"22055936\"]\n  17 [size=\"101529600\", alpha=\"0.05\", expect_size=\"50764800\"] \n  18 [size=\"33892352\", alpha=\"0.15\", expect_size=\"16946176\"] \n  18 -> 21 [size =\"16946176\"]\n  19 [size=\"62871552\", alpha=\"0.14\", expect_size=\"31435776\"] \n  19 -> 20 [size =\"31435776\"]\n  20 [size=\"61550592\", alpha=\"0.05\", expect_size=\"30775296\"] \n  20 -> 22 [size =\"30775296\"]\n  20 -> 23 [size =\"30775296\"]\n  21 [size=\"87910400\", alpha=\"0.01\", expect_size=\"43955200\"] \n  21 -> 22 [size =\"43955200\"]\n  21 -> 23 [size =\"43955200\"]\n  22 [size=\"45344768\", alpha=\"0.00\", expect_size=\"22672384\"] \n  22 -> 24 [size =\"22672384\"]\n  22 -> 25 [size =\"22672384\"]\n  23 [size=\"92874752\", alpha=\"0.15\", expect_size=\"46437376\"] \n  23 -> 24 [size =\"46437376\"]\n  23 -> 25 [size =\"46437376\"]\n  24 [size=\"56143872\", alpha=\"0.03\", expect_size=\"28071936\"] \n  24 -> 26 [size =\"28071936\"]\n  24 -> 27 [size =\"28071936\"]\n  25 [size=\"23310336\", alpha=\"0.02\", expect_size=\"11655168\"] \n  25 -> 26 [size =\"11655168\"]\n  25 -> 27 [size =\"11655168\"]\n  26 [size=\"16979968\", alpha=\"0.19\", expect_size=\"8489984\"] \n  26 -> 28 [size =\"8489984\"]\n  26 -> 29 [size =\"8489984\"]\n  26 -> 30 [size =\"8489984\"]\n  27 [size=\"32622592\", alpha=\"0.16\", expect_size=\"16311296\"] \n  28 [size=\"55767040\", alpha=\"0.04\", expect_size=\"27883520\"] \n  28 -> 31 [size =\"27883520\"]\n  28 -> 32 [size =\"27883520\"]\n  28 -> 33 [size =\"27883520\"]\n  29 [size=\"33437696\", alpha=\"0.11\", expect_size=\"16718848\"] \n  29 -> 32 [size =\"16718848\"]\n  30 [size=\"100632576\", alpha=\"0.16\", expect_size=\"50316288\"] \n  30 -> 33 [size =\"50316288\"]\n  31 [size=\"32135168\", alpha=\"0.08\", expect_size=\"16067584\"] \n  31 -> 36 [size =\"16067584\"]\n  32 [size=\"37287936\", alpha=\"0.11\", expect_size=\"18643968\"] \n  32 -> 35 [size =\"18643968\"]\n  32 -> 36 [size =\"18643968\"]\n  33 [size=\"39088128\", alpha=\"0.19\", expect_size=\"19544064\"] \n  33 -> 34 [size =\"19544064\"]\n  33 -> 35 [size =\"19544064\"]\n  33 -> 36 [size =\"19544064\"]\n  34 [size=\"16041984\", alpha=\"0.08\", expect_size=\"8020992\"] \n  34 -> 38 [size =\"8020992\"]\n  35 [size=\"28573696\", alpha=\"0.08\", expect_size=\"14286848\"] \n  35 -> 38 [size =\"14286848\"]\n  36 [size=\"38631424\", alpha=\"0.14\", expect_size=\"19315712\"] \n  36 -> 37 [size =\"19315712\"]\n  36 -> 38 [size =\"19315712\"]\n  37 [size=\"36114432\", alpha=\"0.20\", expect_size=\"18057216\"] \n  38 [size=\"16228352\", alpha=\"0.10\", expect_size=\"8114176\"] \n  38 -> 39 [size =\"8114176\"]\n  38 -> 40 [size =\"8114176\"]\n  39 [size=\"32915456\", alpha=\"0.12\", expect_size=\"16457728\"] \n  40 [size=\"83290112\", alpha=\"0.04\", expect_size=\"41645056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43028480\", alpha=\"0.03\", expect_size=\"21514240\"] \n  1 -> 2 [size =\"21514240\"]\n  2 [size=\"63483904\", alpha=\"0.18\", expect_size=\"31741952\"] \n  2 -> 3 [size =\"31741952\"]\n  3 [size=\"100034560\", alpha=\"0.04\", expect_size=\"50017280\"] \n  3 -> 4 [size =\"50017280\"]\n  4 [size=\"50989056\", alpha=\"0.16\", expect_size=\"25494528\"] \n  4 -> 5 [size =\"25494528\"]\n  5 [size=\"89106432\", alpha=\"0.02\", expect_size=\"44553216\"] \n  5 -> 6 [size =\"44553216\"]\n  6 [size=\"58408960\", alpha=\"0.01\", expect_size=\"29204480\"] \n  6 -> 7 [size =\"29204480\"]\n  7 [size=\"88899584\", alpha=\"0.19\", expect_size=\"44449792\"] \n  7 -> 8 [size =\"44449792\"]\n  8 [size=\"47185920\", alpha=\"0.02\", expect_size=\"23592960\"] \n  8 -> 9 [size =\"23592960\"]\n  9 [size=\"38662144\", alpha=\"0.10\", expect_size=\"19331072\"] \n  9 -> 10 [size =\"19331072\"]\n  10 [size=\"87750656\", alpha=\"0.17\", expect_size=\"43875328\"] \n  10 -> 11 [size =\"43875328\"]\n  11 [size=\"54532096\", alpha=\"0.04\", expect_size=\"27266048\"] \n  11 -> 12 [size =\"27266048\"]\n  12 [size=\"67999744\", alpha=\"0.15\", expect_size=\"33999872\"] \n  12 -> 13 [size =\"33999872\"]\n  13 [size=\"59492352\", alpha=\"0.07\", expect_size=\"29746176\"] \n  13 -> 14 [size =\"29746176\"]\n  14 [size=\"78096384\", alpha=\"0.09\", expect_size=\"39048192\"] \n  14 -> 15 [size =\"39048192\"]\n  15 [size=\"57690112\", alpha=\"0.15\", expect_size=\"28845056\"] \n  15 -> 16 [size =\"28845056\"]\n  16 [size=\"68835328\", alpha=\"0.12\", expect_size=\"34417664\"] \n  16 -> 17 [size =\"34417664\"]\n  17 [size=\"74598400\", alpha=\"0.13\", expect_size=\"37299200\"] \n  17 -> 18 [size =\"37299200\"]\n  18 [size=\"69726208\", alpha=\"0.01\", expect_size=\"34863104\"] \n  18 -> 19 [size =\"34863104\"]\n  19 [size=\"80070656\", alpha=\"0.17\", expect_size=\"40035328\"] \n  19 -> 20 [size =\"40035328\"]\n  20 [size=\"31041536\", alpha=\"0.19\", expect_size=\"15520768\"] \n  20 -> 21 [size =\"15520768\"]\n  21 [size=\"19120128\", alpha=\"0.08\", expect_size=\"9560064\"] \n  21 -> 22 [size =\"9560064\"]\n  22 [size=\"38797312\", alpha=\"0.08\", expect_size=\"19398656\"] \n  22 -> 23 [size =\"19398656\"]\n  23 [size=\"15282176\", alpha=\"0.07\", expect_size=\"7641088\"] \n  23 -> 24 [size =\"7641088\"]\n  24 [size=\"49522688\", alpha=\"0.15\", expect_size=\"24761344\"] \n  24 -> 25 [size =\"24761344\"]\n  25 [size=\"93693952\", alpha=\"0.19\", expect_size=\"46846976\"] \n  25 -> 26 [size =\"46846976\"]\n  26 [size=\"68536320\", alpha=\"0.14\", expect_size=\"34268160\"] \n  26 -> 27 [size =\"34268160\"]\n  27 [size=\"28510208\", alpha=\"0.05\", expect_size=\"14255104\"] \n  27 -> 28 [size =\"14255104\"]\n  28 [size=\"92082176\", alpha=\"0.04\", expect_size=\"46041088\"] \n  28 -> 29 [size =\"46041088\"]\n  29 [size=\"95258624\", alpha=\"0.08\", expect_size=\"47629312\"] \n  29 -> 30 [size =\"47629312\"]\n  30 [size=\"80670720\", alpha=\"0.10\", expect_size=\"40335360\"] \n  30 -> 31 [size =\"40335360\"]\n  31 [size=\"75462656\", alpha=\"0.00\", expect_size=\"37731328\"] \n  31 -> 32 [size =\"37731328\"]\n  32 [size=\"17811456\", alpha=\"0.03\", expect_size=\"8905728\"] \n  32 -> 33 [size =\"8905728\"]\n  33 [size=\"55085056\", alpha=\"0.16\", expect_size=\"27542528\"] \n  33 -> 34 [size =\"27542528\"]\n  34 [size=\"88090624\", alpha=\"0.04\", expect_size=\"44045312\"] \n  34 -> 35 [size =\"44045312\"]\n  35 [size=\"62961664\", alpha=\"0.01\", expect_size=\"31480832\"] \n  35 -> 36 [size =\"31480832\"]\n  36 [size=\"58316800\", alpha=\"0.11\", expect_size=\"29158400\"] \n  36 -> 37 [size =\"29158400\"]\n  37 [size=\"27713536\", alpha=\"0.14\", expect_size=\"13856768\"] \n  37 -> 38 [size =\"13856768\"]\n  38 [size=\"49563648\", alpha=\"0.10\", expect_size=\"24781824\"] \n  38 -> 39 [size =\"24781824\"]\n  39 [size=\"66199552\", alpha=\"0.01\", expect_size=\"33099776\"] \n  39 -> 40 [size =\"33099776\"]\n  40 [size=\"11423744\", alpha=\"0.16\", expect_size=\"5711872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92962816\", alpha=\"0.05\", expect_size=\"46481408\"] \n  1 -> 4 [size =\"46481408\"]\n  2 [size=\"59592704\", alpha=\"0.12\", expect_size=\"29796352\"] \n  3 [size=\"23945216\", alpha=\"0.17\", expect_size=\"11972608\"] \n  4 [size=\"31576064\", alpha=\"0.10\", expect_size=\"15788032\"] \n  4 -> 5 [size =\"15788032\"]\n  4 -> 6 [size =\"15788032\"]\n  4 -> 7 [size =\"15788032\"]\n  4 -> 8 [size =\"15788032\"]\n  5 [size=\"38803456\", alpha=\"0.12\", expect_size=\"19401728\"] \n  6 [size=\"34793472\", alpha=\"0.14\", expect_size=\"17396736\"] \n  7 [size=\"39759872\", alpha=\"0.16\", expect_size=\"19879936\"] \n  7 -> 9 [size =\"19879936\"]\n  8 [size=\"62343168\", alpha=\"0.06\", expect_size=\"31171584\"] \n  8 -> 10 [size =\"31171584\"]\n  9 [size=\"92446720\", alpha=\"0.12\", expect_size=\"46223360\"] \n  9 -> 11 [size =\"46223360\"]\n  10 [size=\"68943872\", alpha=\"0.11\", expect_size=\"34471936\"] \n  11 [size=\"51632128\", alpha=\"0.17\", expect_size=\"25816064\"] \n  11 -> 12 [size =\"25816064\"]\n  12 [size=\"73564160\", alpha=\"0.09\", expect_size=\"36782080\"] \n  12 -> 13 [size =\"36782080\"]\n  12 -> 14 [size =\"36782080\"]\n  12 -> 15 [size =\"36782080\"]\n  13 [size=\"33751040\", alpha=\"0.20\", expect_size=\"16875520\"] \n  14 [size=\"20994048\", alpha=\"0.09\", expect_size=\"10497024\"] \n  14 -> 16 [size =\"10497024\"]\n  15 [size=\"69918720\", alpha=\"0.13\", expect_size=\"34959360\"] \n  16 [size=\"34064384\", alpha=\"0.03\", expect_size=\"17032192\"] \n  16 -> 17 [size =\"17032192\"]\n  16 -> 18 [size =\"17032192\"]\n  17 [size=\"100112384\", alpha=\"0.04\", expect_size=\"50056192\"] \n  17 -> 20 [size =\"50056192\"]\n  18 [size=\"82677760\", alpha=\"0.01\", expect_size=\"41338880\"] \n  18 -> 19 [size =\"41338880\"]\n  18 -> 21 [size =\"41338880\"]\n  19 [size=\"14698496\", alpha=\"0.17\", expect_size=\"7349248\"] \n  19 -> 23 [size =\"7349248\"]\n  20 [size=\"70926336\", alpha=\"0.00\", expect_size=\"35463168\"] \n  21 [size=\"27066368\", alpha=\"0.01\", expect_size=\"13533184\"] \n  21 -> 22 [size =\"13533184\"]\n  21 -> 23 [size =\"13533184\"]\n  22 [size=\"13910016\", alpha=\"0.12\", expect_size=\"6955008\"] \n  22 -> 24 [size =\"6955008\"]\n  23 [size=\"55136256\", alpha=\"0.06\", expect_size=\"27568128\"] \n  23 -> 25 [size =\"27568128\"]\n  24 [size=\"53784576\", alpha=\"0.04\", expect_size=\"26892288\"] \n  24 -> 26 [size =\"26892288\"]\n  25 [size=\"95514624\", alpha=\"0.08\", expect_size=\"47757312\"] \n  26 [size=\"60200960\", alpha=\"0.17\", expect_size=\"30100480\"] \n  26 -> 27 [size =\"30100480\"]\n  26 -> 28 [size =\"30100480\"]\n  27 [size=\"73707520\", alpha=\"0.13\", expect_size=\"36853760\"] \n  27 -> 29 [size =\"36853760\"]\n  27 -> 30 [size =\"36853760\"]\n  27 -> 31 [size =\"36853760\"]\n  28 [size=\"94748672\", alpha=\"0.19\", expect_size=\"47374336\"] \n  29 [size=\"98002944\", alpha=\"0.03\", expect_size=\"49001472\"] \n  29 -> 32 [size =\"49001472\"]\n  29 -> 33 [size =\"49001472\"]\n  30 [size=\"85848064\", alpha=\"0.20\", expect_size=\"42924032\"] \n  30 -> 33 [size =\"42924032\"]\n  31 [size=\"87828480\", alpha=\"0.05\", expect_size=\"43914240\"] \n  32 [size=\"92049408\", alpha=\"0.03\", expect_size=\"46024704\"] \n  32 -> 34 [size =\"46024704\"]\n  32 -> 35 [size =\"46024704\"]\n  32 -> 36 [size =\"46024704\"]\n  33 [size=\"53248000\", alpha=\"0.06\", expect_size=\"26624000\"] \n  33 -> 37 [size =\"26624000\"]\n  34 [size=\"79255552\", alpha=\"0.12\", expect_size=\"39627776\"] \n  34 -> 40 [size =\"39627776\"]\n  35 [size=\"96794624\", alpha=\"0.10\", expect_size=\"48397312\"] \n  35 -> 39 [size =\"48397312\"]\n  36 [size=\"39811072\", alpha=\"0.13\", expect_size=\"19905536\"] \n  36 -> 38 [size =\"19905536\"]\n  36 -> 39 [size =\"19905536\"]\n  37 [size=\"26982400\", alpha=\"0.15\", expect_size=\"13491200\"] \n  37 -> 40 [size =\"13491200\"]\n  38 [size=\"87588864\", alpha=\"0.13\", expect_size=\"43794432\"] \n  39 [size=\"84744192\", alpha=\"0.11\", expect_size=\"42372096\"] \n  40 [size=\"100407296\", alpha=\"0.02\", expect_size=\"50203648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107424427\", alpha=\"0.02\", expect_size=\"32227328\"] \n  1 -> 2 [size =\"32227328\"]\n  2 [size=\"110394027\", alpha=\"0.12\", expect_size=\"33118208\"] \n  2 -> 3 [size =\"33118208\"]\n  3 [size=\"123228160\", alpha=\"0.14\", expect_size=\"36968448\"] \n  3 -> 4 [size =\"36968448\"]\n  4 [size=\"104007680\", alpha=\"0.01\", expect_size=\"31202304\"] \n  4 -> 5 [size =\"31202304\"]\n  5 [size=\"170618880\", alpha=\"0.09\", expect_size=\"51185664\"] \n  5 -> 6 [size =\"51185664\"]\n  6 [size=\"111267840\", alpha=\"0.13\", expect_size=\"33380352\"] \n  6 -> 7 [size =\"33380352\"]\n  7 [size=\"78322347\", alpha=\"0.18\", expect_size=\"23496704\"] \n  7 -> 8 [size =\"23496704\"]\n  8 [size=\"137383253\", alpha=\"0.19\", expect_size=\"41214976\"] \n  8 -> 9 [size =\"41214976\"]\n  9 [size=\"27661653\", alpha=\"0.11\", expect_size=\"8298496\"] \n  9 -> 10 [size =\"8298496\"]\n  10 [size=\"142677333\", alpha=\"0.02\", expect_size=\"42803200\"] \n  10 -> 11 [size =\"42803200\"]\n  11 [size=\"136925867\", alpha=\"0.11\", expect_size=\"41077760\"] \n  11 -> 12 [size =\"41077760\"]\n  12 [size=\"152190293\", alpha=\"0.12\", expect_size=\"45657088\"] \n  12 -> 13 [size =\"45657088\"]\n  13 [size=\"86439253\", alpha=\"0.16\", expect_size=\"25931776\"] \n  13 -> 14 [size =\"25931776\"]\n  14 [size=\"39792640\", alpha=\"0.14\", expect_size=\"11937792\"] \n  14 -> 15 [size =\"11937792\"]\n  15 [size=\"47653547\", alpha=\"0.09\", expect_size=\"14296064\"] \n  15 -> 16 [size =\"14296064\"]\n  16 [size=\"118456320\", alpha=\"0.18\", expect_size=\"35536896\"] \n  16 -> 17 [size =\"35536896\"]\n  17 [size=\"62634667\", alpha=\"0.04\", expect_size=\"18790400\"] \n  17 -> 18 [size =\"18790400\"]\n  18 [size=\"49575253\", alpha=\"0.20\", expect_size=\"14872576\"] \n  18 -> 19 [size =\"14872576\"]\n  19 [size=\"38195200\", alpha=\"0.15\", expect_size=\"11458560\"] \n  19 -> 20 [size =\"11458560\"]\n  20 [size=\"128133120\", alpha=\"0.04\", expect_size=\"38439936\"] \n  20 -> 21 [size =\"38439936\"]\n  21 [size=\"145404587\", alpha=\"0.05\", expect_size=\"43621376\"] \n  21 -> 22 [size =\"43621376\"]\n  22 [size=\"75178667\", alpha=\"0.18\", expect_size=\"22553600\"] \n  22 -> 23 [size =\"22553600\"]\n  23 [size=\"168325120\", alpha=\"0.04\", expect_size=\"50497536\"] \n  23 -> 24 [size =\"50497536\"]\n  24 [size=\"137997653\", alpha=\"0.02\", expect_size=\"41399296\"] \n  24 -> 25 [size =\"41399296\"]\n  25 [size=\"89900373\", alpha=\"0.18\", expect_size=\"26970112\"] \n  25 -> 26 [size =\"26970112\"]\n  26 [size=\"159788373\", alpha=\"0.07\", expect_size=\"47936512\"] \n  26 -> 27 [size =\"47936512\"]\n  27 [size=\"144230400\", alpha=\"0.04\", expect_size=\"43269120\"] \n  27 -> 28 [size =\"43269120\"]\n  28 [size=\"18100907\", alpha=\"0.15\", expect_size=\"5430272\"] \n  28 -> 29 [size =\"5430272\"]\n  29 [size=\"172503040\", alpha=\"0.08\", expect_size=\"51750912\"] \n  29 -> 30 [size =\"51750912\"]\n  30 [size=\"130717013\", alpha=\"0.17\", expect_size=\"39215104\"] \n  30 -> 31 [size =\"39215104\"]\n  31 [size=\"164253013\", alpha=\"0.01\", expect_size=\"49275904\"] \n  31 -> 32 [size =\"49275904\"]\n  32 [size=\"48482987\", alpha=\"0.02\", expect_size=\"14544896\"] \n  32 -> 33 [size =\"14544896\"]\n  33 [size=\"33614507\", alpha=\"0.12\", expect_size=\"10084352\"] \n  33 -> 34 [size =\"10084352\"]\n  34 [size=\"68116480\", alpha=\"0.05\", expect_size=\"20434944\"] \n  34 -> 35 [size =\"20434944\"]\n  35 [size=\"81237333\", alpha=\"0.02\", expect_size=\"24371200\"] \n  35 -> 36 [size =\"24371200\"]\n  36 [size=\"68829867\", alpha=\"0.11\", expect_size=\"20648960\"] \n  36 -> 37 [size =\"20648960\"]\n  37 [size=\"124689067\", alpha=\"0.06\", expect_size=\"37406720\"] \n  37 -> 38 [size =\"37406720\"]\n  38 [size=\"152378027\", alpha=\"0.06\", expect_size=\"45713408\"] \n  38 -> 39 [size =\"45713408\"]\n  39 [size=\"114520747\", alpha=\"0.08\", expect_size=\"34356224\"] \n  39 -> 40 [size =\"34356224\"]\n  40 [size=\"21299200\", alpha=\"0.04\", expect_size=\"6389760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106076160\", alpha=\"0.19\", expect_size=\"31822848\"] \n  1 -> 38 [size =\"31822848\"]\n  1 -> 39 [size =\"31822848\"]\n  2 [size=\"173929813\", alpha=\"0.14\", expect_size=\"52178944\"] \n  2 -> 35 [size =\"52178944\"]\n  2 -> 36 [size =\"52178944\"]\n  2 -> 40 [size =\"52178944\"]\n  3 [size=\"151272107\", alpha=\"0.20\", expect_size=\"45381632\"] \n  4 [size=\"39983787\", alpha=\"0.08\", expect_size=\"11995136\"] \n  4 -> 35 [size =\"11995136\"]\n  4 -> 40 [size =\"11995136\"]\n  5 [size=\"132986880\", alpha=\"0.16\", expect_size=\"39896064\"] \n  5 -> 35 [size =\"39896064\"]\n  5 -> 36 [size =\"39896064\"]\n  5 -> 40 [size =\"39896064\"]\n  6 [size=\"150422187\", alpha=\"0.13\", expect_size=\"45126656\"] \n  6 -> 35 [size =\"45126656\"]\n  6 -> 36 [size =\"45126656\"]\n  6 -> 38 [size =\"45126656\"]\n  6 -> 40 [size =\"45126656\"]\n  7 [size=\"76803413\", alpha=\"0.20\", expect_size=\"23041024\"] \n  7 -> 35 [size =\"23041024\"]\n  7 -> 36 [size =\"23041024\"]\n  8 [size=\"67863893\", alpha=\"0.10\", expect_size=\"20359168\"] \n  8 -> 35 [size =\"20359168\"]\n  8 -> 36 [size =\"20359168\"]\n  9 [size=\"140834133\", alpha=\"0.03\", expect_size=\"42250240\"] \n  9 -> 35 [size =\"42250240\"]\n  9 -> 36 [size =\"42250240\"]\n  10 [size=\"40444587\", alpha=\"0.02\", expect_size=\"12133376\"] \n  10 -> 35 [size =\"12133376\"]\n  10 -> 36 [size =\"12133376\"]\n  10 -> 37 [size =\"12133376\"]\n  10 -> 40 [size =\"12133376\"]\n  11 [size=\"107752107\", alpha=\"0.01\", expect_size=\"32325632\"] \n  11 -> 35 [size =\"32325632\"]\n  11 -> 36 [size =\"32325632\"]\n  11 -> 40 [size =\"32325632\"]\n  12 [size=\"99587413\", alpha=\"0.17\", expect_size=\"29876224\"] \n  12 -> 35 [size =\"29876224\"]\n  12 -> 36 [size =\"29876224\"]\n  12 -> 37 [size =\"29876224\"]\n  12 -> 40 [size =\"29876224\"]\n  13 [size=\"53329920\", alpha=\"0.05\", expect_size=\"15998976\"] \n  13 -> 36 [size =\"15998976\"]\n  13 -> 36 [size =\"15998976\"]\n  13 -> 40 [size =\"15998976\"]\n  14 [size=\"50827947\", alpha=\"0.12\", expect_size=\"15248384\"] \n  14 -> 35 [size =\"15248384\"]\n  14 -> 36 [size =\"15248384\"]\n  14 -> 38 [size =\"15248384\"]\n  14 -> 40 [size =\"15248384\"]\n  15 [size=\"117019307\", alpha=\"0.17\", expect_size=\"35105792\"] \n  15 -> 35 [size =\"35105792\"]\n  16 [size=\"86244693\", alpha=\"0.12\", expect_size=\"25873408\"] \n  16 -> 35 [size =\"25873408\"]\n  16 -> 36 [size =\"25873408\"]\n  16 -> 39 [size =\"25873408\"]\n  16 -> 40 [size =\"25873408\"]\n  17 [size=\"31416320\", alpha=\"0.14\", expect_size=\"9424896\"] \n  17 -> 36 [size =\"9424896\"]\n  18 [size=\"29081600\", alpha=\"0.17\", expect_size=\"8724480\"] \n  18 -> 35 [size =\"8724480\"]\n  18 -> 36 [size =\"8724480\"]\n  18 -> 40 [size =\"8724480\"]\n  19 [size=\"109585067\", alpha=\"0.19\", expect_size=\"32875520\"] \n  19 -> 39 [size =\"32875520\"]\n  20 [size=\"132744533\", alpha=\"0.20\", expect_size=\"39823360\"] \n  20 -> 35 [size =\"39823360\"]\n  20 -> 36 [size =\"39823360\"]\n  20 -> 39 [size =\"39823360\"]\n  21 [size=\"147329707\", alpha=\"0.12\", expect_size=\"44198912\"] \n  21 -> 36 [size =\"44198912\"]\n  21 -> 39 [size =\"44198912\"]\n  21 -> 40 [size =\"44198912\"]\n  22 [size=\"158102187\", alpha=\"0.04\", expect_size=\"47430656\"] \n  22 -> 35 [size =\"47430656\"]\n  22 -> 36 [size =\"47430656\"]\n  22 -> 39 [size =\"47430656\"]\n  23 [size=\"135342080\", alpha=\"0.13\", expect_size=\"40602624\"] \n  23 -> 36 [size =\"40602624\"]\n  23 -> 39 [size =\"40602624\"]\n  23 -> 40 [size =\"40602624\"]\n  24 [size=\"18786987\", alpha=\"0.05\", expect_size=\"5636096\"] \n  24 -> 35 [size =\"5636096\"]\n  24 -> 36 [size =\"5636096\"]\n  24 -> 37 [size =\"5636096\"]\n  24 -> 40 [size =\"5636096\"]\n  25 [size=\"111564800\", alpha=\"0.11\", expect_size=\"33469440\"] \n  25 -> 35 [size =\"33469440\"]\n  25 -> 36 [size =\"33469440\"]\n  25 -> 40 [size =\"33469440\"]\n  26 [size=\"84152320\", alpha=\"0.14\", expect_size=\"25245696\"] \n  26 -> 36 [size =\"25245696\"]\n  26 -> 36 [size =\"25245696\"]\n  26 -> 40 [size =\"25245696\"]\n  27 [size=\"19712000\", alpha=\"0.05\", expect_size=\"5913600\"] \n  27 -> 36 [size =\"5913600\"]\n  27 -> 40 [size =\"5913600\"]\n  28 [size=\"133563733\", alpha=\"0.03\", expect_size=\"40069120\"] \n  28 -> 35 [size =\"40069120\"]\n  28 -> 36 [size =\"40069120\"]\n  28 -> 40 [size =\"40069120\"]\n  29 [size=\"106990933\", alpha=\"0.16\", expect_size=\"32097280\"] \n  29 -> 36 [size =\"32097280\"]\n  29 -> 36 [size =\"32097280\"]\n  29 -> 40 [size =\"32097280\"]\n  30 [size=\"99362133\", alpha=\"0.12\", expect_size=\"29808640\"] \n  30 -> 35 [size =\"29808640\"]\n  30 -> 38 [size =\"29808640\"]\n  30 -> 40 [size =\"29808640\"]\n  31 [size=\"97809067\", alpha=\"0.19\", expect_size=\"29342720\"] \n  31 -> 35 [size =\"29342720\"]\n  31 -> 36 [size =\"29342720\"]\n  31 -> 40 [size =\"29342720\"]\n  32 [size=\"33648640\", alpha=\"0.17\", expect_size=\"10094592\"] \n  32 -> 35 [size =\"10094592\"]\n  32 -> 36 [size =\"10094592\"]\n  32 -> 38 [size =\"10094592\"]\n  32 -> 40 [size =\"10094592\"]\n  33 [size=\"63330987\", alpha=\"0.19\", expect_size=\"18999296\"] \n  33 -> 36 [size =\"18999296\"]\n  33 -> 36 [size =\"18999296\"]\n  33 -> 38 [size =\"18999296\"]\n  33 -> 39 [size =\"18999296\"]\n  33 -> 40 [size =\"18999296\"]\n  34 [size=\"163368960\", alpha=\"0.06\", expect_size=\"49010688\"] \n  34 -> 35 [size =\"49010688\"]\n  34 -> 38 [size =\"49010688\"]\n  34 -> 38 [size =\"49010688\"]\n  34 -> 39 [size =\"49010688\"]\n  34 -> 40 [size =\"49010688\"]\n  35 [size=\"41704107\", alpha=\"0.06\", expect_size=\"12511232\"] \n  36 [size=\"128413013\", alpha=\"0.14\", expect_size=\"38523904\"] \n  37 [size=\"84585813\", alpha=\"0.03\", expect_size=\"25375744\"] \n  38 [size=\"126832640\", alpha=\"0.15\", expect_size=\"38049792\"] \n  39 [size=\"148264960\", alpha=\"0.18\", expect_size=\"44479488\"] \n  40 [size=\"114950827\", alpha=\"0.16\", expect_size=\"34485248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67659093\", alpha=\"0.00\", expect_size=\"20297728\"] \n  1 -> 21 [size =\"20297728\"]\n  1 -> 22 [size =\"20297728\"]\n  1 -> 23 [size =\"20297728\"]\n  1 -> 24 [size =\"20297728\"]\n  2 [size=\"64498347\", alpha=\"0.02\", expect_size=\"19349504\"] \n  2 -> 16 [size =\"19349504\"]\n  2 -> 18 [size =\"19349504\"]\n  2 -> 22 [size =\"19349504\"]\n  2 -> 23 [size =\"19349504\"]\n  2 -> 24 [size =\"19349504\"]\n  3 [size=\"97088853\", alpha=\"0.03\", expect_size=\"29126656\"] \n  3 -> 18 [size =\"29126656\"]\n  3 -> 19 [size =\"29126656\"]\n  3 -> 21 [size =\"29126656\"]\n  3 -> 23 [size =\"29126656\"]\n  4 [size=\"21821440\", alpha=\"0.13\", expect_size=\"6546432\"] \n  4 -> 19 [size =\"6546432\"]\n  4 -> 21 [size =\"6546432\"]\n  4 -> 23 [size =\"6546432\"]\n  4 -> 24 [size =\"6546432\"]\n  5 [size=\"44373333\", alpha=\"0.13\", expect_size=\"13312000\"] \n  5 -> 16 [size =\"13312000\"]\n  5 -> 21 [size =\"13312000\"]\n  6 [size=\"171427840\", alpha=\"0.15\", expect_size=\"51428352\"] \n  6 -> 21 [size =\"51428352\"]\n  6 -> 22 [size =\"51428352\"]\n  7 [size=\"79588693\", alpha=\"0.02\", expect_size=\"23876608\"] \n  7 -> 16 [size =\"23876608\"]\n  7 -> 19 [size =\"23876608\"]\n  7 -> 23 [size =\"23876608\"]\n  7 -> 24 [size =\"23876608\"]\n  8 [size=\"170854400\", alpha=\"0.11\", expect_size=\"51256320\"] \n  8 -> 19 [size =\"51256320\"]\n  8 -> 24 [size =\"51256320\"]\n  9 [size=\"70621867\", alpha=\"0.06\", expect_size=\"21186560\"] \n  9 -> 18 [size =\"21186560\"]\n  9 -> 19 [size =\"21186560\"]\n  9 -> 21 [size =\"21186560\"]\n  9 -> 23 [size =\"21186560\"]\n  9 -> 24 [size =\"21186560\"]\n  10 [size=\"17694720\", alpha=\"0.19\", expect_size=\"5308416\"] \n  10 -> 18 [size =\"5308416\"]\n  10 -> 19 [size =\"5308416\"]\n  10 -> 24 [size =\"5308416\"]\n  11 [size=\"114868907\", alpha=\"0.08\", expect_size=\"34460672\"] \n  11 -> 19 [size =\"34460672\"]\n  11 -> 19 [size =\"34460672\"]\n  11 -> 21 [size =\"34460672\"]\n  11 -> 24 [size =\"34460672\"]\n  12 [size=\"116674560\", alpha=\"0.08\", expect_size=\"35002368\"] \n  12 -> 20 [size =\"35002368\"]\n  12 -> 23 [size =\"35002368\"]\n  12 -> 24 [size =\"35002368\"]\n  13 [size=\"128740693\", alpha=\"0.07\", expect_size=\"38622208\"] \n  13 -> 16 [size =\"38622208\"]\n  13 -> 21 [size =\"38622208\"]\n  13 -> 23 [size =\"38622208\"]\n  14 [size=\"150541653\", alpha=\"0.02\", expect_size=\"45162496\"] \n  14 -> 19 [size =\"45162496\"]\n  14 -> 21 [size =\"45162496\"]\n  14 -> 22 [size =\"45162496\"]\n  14 -> 23 [size =\"45162496\"]\n  15 [size=\"97392640\", alpha=\"0.20\", expect_size=\"29217792\"] \n  15 -> 17 [size =\"29217792\"]\n  15 -> 18 [size =\"29217792\"]\n  15 -> 19 [size =\"29217792\"]\n  15 -> 20 [size =\"29217792\"]\n  15 -> 23 [size =\"29217792\"]\n  16 [size=\"43967147\", alpha=\"0.00\", expect_size=\"13190144\"] \n  16 -> 32 [size =\"13190144\"]\n  16 -> 36 [size =\"13190144\"]\n  16 -> 38 [size =\"13190144\"]\n  17 [size=\"162621440\", alpha=\"0.12\", expect_size=\"48786432\"] \n  17 -> 28 [size =\"48786432\"]\n  17 -> 30 [size =\"48786432\"]\n  17 -> 31 [size =\"48786432\"]\n  17 -> 38 [size =\"48786432\"]\n  18 [size=\"18295467\", alpha=\"0.07\", expect_size=\"5488640\"] \n  18 -> 26 [size =\"5488640\"]\n  18 -> 32 [size =\"5488640\"]\n  18 -> 34 [size =\"5488640\"]\n  18 -> 35 [size =\"5488640\"]\n  18 -> 38 [size =\"5488640\"]\n  18 -> 39 [size =\"5488640\"]\n  19 [size=\"101976747\", alpha=\"0.13\", expect_size=\"30593024\"] \n  19 -> 28 [size =\"30593024\"]\n  19 -> 33 [size =\"30593024\"]\n  19 -> 34 [size =\"30593024\"]\n  19 -> 35 [size =\"30593024\"]\n  19 -> 39 [size =\"30593024\"]\n  20 [size=\"148647253\", alpha=\"0.04\", expect_size=\"44594176\"] \n  20 -> 25 [size =\"44594176\"]\n  20 -> 26 [size =\"44594176\"]\n  20 -> 29 [size =\"44594176\"]\n  20 -> 33 [size =\"44594176\"]\n  20 -> 34 [size =\"44594176\"]\n  20 -> 35 [size =\"44594176\"]\n  20 -> 39 [size =\"44594176\"]\n  21 [size=\"144220160\", alpha=\"0.01\", expect_size=\"43266048\"] \n  21 -> 25 [size =\"43266048\"]\n  21 -> 28 [size =\"43266048\"]\n  21 -> 33 [size =\"43266048\"]\n  21 -> 33 [size =\"43266048\"]\n  21 -> 35 [size =\"43266048\"]\n  21 -> 36 [size =\"43266048\"]\n  21 -> 39 [size =\"43266048\"]\n  22 [size=\"52374187\", alpha=\"0.05\", expect_size=\"15712256\"] \n  22 -> 25 [size =\"15712256\"]\n  22 -> 32 [size =\"15712256\"]\n  22 -> 33 [size =\"15712256\"]\n  22 -> 34 [size =\"15712256\"]\n  22 -> 37 [size =\"15712256\"]\n  22 -> 39 [size =\"15712256\"]\n  23 [size=\"113244160\", alpha=\"0.18\", expect_size=\"33973248\"] \n  23 -> 29 [size =\"33973248\"]\n  23 -> 31 [size =\"33973248\"]\n  23 -> 33 [size =\"33973248\"]\n  23 -> 38 [size =\"33973248\"]\n  24 [size=\"170625707\", alpha=\"0.12\", expect_size=\"51187712\"] \n  24 -> 25 [size =\"51187712\"]\n  24 -> 27 [size =\"51187712\"]\n  24 -> 28 [size =\"51187712\"]\n  24 -> 31 [size =\"51187712\"]\n  24 -> 36 [size =\"51187712\"]\n  24 -> 38 [size =\"51187712\"]\n  25 [size=\"28310187\", alpha=\"0.10\", expect_size=\"8493056\"] \n  25 -> 40 [size =\"8493056\"]\n  26 [size=\"25750187\", alpha=\"0.07\", expect_size=\"7725056\"] \n  26 -> 40 [size =\"7725056\"]\n  27 [size=\"29303467\", alpha=\"0.12\", expect_size=\"8791040\"] \n  27 -> 40 [size =\"8791040\"]\n  28 [size=\"124378453\", alpha=\"0.17\", expect_size=\"37313536\"] \n  28 -> 40 [size =\"37313536\"]\n  29 [size=\"19015680\", alpha=\"0.08\", expect_size=\"5704704\"] \n  30 [size=\"117838507\", alpha=\"0.19\", expect_size=\"35351552\"] \n  30 -> 40 [size =\"35351552\"]\n  31 [size=\"146681173\", alpha=\"0.03\", expect_size=\"44004352\"] \n  31 -> 40 [size =\"44004352\"]\n  32 [size=\"155723093\", alpha=\"0.19\", expect_size=\"46716928\"] \n  33 [size=\"34699947\", alpha=\"0.10\", expect_size=\"10409984\"] \n  34 [size=\"20517547\", alpha=\"0.17\", expect_size=\"6155264\"] \n  35 [size=\"117517653\", alpha=\"0.15\", expect_size=\"35255296\"] \n  36 [size=\"38027947\", alpha=\"0.16\", expect_size=\"11408384\"] \n  36 -> 40 [size =\"11408384\"]\n  37 [size=\"93289813\", alpha=\"0.15\", expect_size=\"27986944\"] \n  38 [size=\"30836053\", alpha=\"0.14\", expect_size=\"9250816\"] \n  39 [size=\"161338027\", alpha=\"0.05\", expect_size=\"48401408\"] \n  39 -> 40 [size =\"48401408\"]\n  40 [size=\"66082133\", alpha=\"0.12\", expect_size=\"19824640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65331200\", alpha=\"0.01\", expect_size=\"32665600\"] \n  1 -> 7 [size =\"32665600\"]\n  1 -> 11 [size =\"32665600\"]\n  1 -> 12 [size =\"32665600\"]\n  2 [size=\"86069248\", alpha=\"0.13\", expect_size=\"43034624\"] \n  2 -> 8 [size =\"43034624\"]\n  2 -> 12 [size =\"43034624\"]\n  3 [size=\"77768704\", alpha=\"0.01\", expect_size=\"38884352\"] \n  3 -> 7 [size =\"38884352\"]\n  3 -> 8 [size =\"38884352\"]\n  4 [size=\"96989184\", alpha=\"0.16\", expect_size=\"48494592\"] \n  4 -> 9 [size =\"48494592\"]\n  4 -> 11 [size =\"48494592\"]\n  5 [size=\"74975232\", alpha=\"0.16\", expect_size=\"37487616\"] \n  5 -> 8 [size =\"37487616\"]\n  6 [size=\"88272896\", alpha=\"0.09\", expect_size=\"44136448\"] \n  6 -> 7 [size =\"44136448\"]\n  6 -> 10 [size =\"44136448\"]\n  6 -> 11 [size =\"44136448\"]\n  7 [size=\"24242176\", alpha=\"0.11\", expect_size=\"12121088\"] \n  7 -> 14 [size =\"12121088\"]\n  7 -> 16 [size =\"12121088\"]\n  8 [size=\"97974272\", alpha=\"0.08\", expect_size=\"48987136\"] \n  8 -> 14 [size =\"48987136\"]\n  8 -> 16 [size =\"48987136\"]\n  8 -> 17 [size =\"48987136\"]\n  9 [size=\"58695680\", alpha=\"0.13\", expect_size=\"29347840\"] \n  9 -> 14 [size =\"29347840\"]\n  10 [size=\"76445696\", alpha=\"0.08\", expect_size=\"38222848\"] \n  10 -> 13 [size =\"38222848\"]\n  10 -> 14 [size =\"38222848\"]\n  10 -> 15 [size =\"38222848\"]\n  10 -> 17 [size =\"38222848\"]\n  11 [size=\"66080768\", alpha=\"0.03\", expect_size=\"33040384\"] \n  11 -> 17 [size =\"33040384\"]\n  12 [size=\"68583424\", alpha=\"0.02\", expect_size=\"34291712\"] \n  12 -> 13 [size =\"34291712\"]\n  13 [size=\"33935360\", alpha=\"0.13\", expect_size=\"16967680\"] \n  13 -> 19 [size =\"16967680\"]\n  13 -> 20 [size =\"16967680\"]\n  14 [size=\"37349376\", alpha=\"0.14\", expect_size=\"18674688\"] \n  14 -> 20 [size =\"18674688\"]\n  14 -> 21 [size =\"18674688\"]\n  14 -> 22 [size =\"18674688\"]\n  15 [size=\"18921472\", alpha=\"0.11\", expect_size=\"9460736\"] \n  15 -> 18 [size =\"9460736\"]\n  15 -> 20 [size =\"9460736\"]\n  16 [size=\"94707712\", alpha=\"0.12\", expect_size=\"47353856\"] \n  16 -> 18 [size =\"47353856\"]\n  16 -> 22 [size =\"47353856\"]\n  17 [size=\"41535488\", alpha=\"0.11\", expect_size=\"20767744\"] \n  17 -> 18 [size =\"20767744\"]\n  17 -> 21 [size =\"20767744\"]\n  17 -> 22 [size =\"20767744\"]\n  18 [size=\"91170816\", alpha=\"0.01\", expect_size=\"45585408\"] \n  18 -> 24 [size =\"45585408\"]\n  18 -> 26 [size =\"45585408\"]\n  19 [size=\"35141632\", alpha=\"0.17\", expect_size=\"17570816\"] \n  19 -> 23 [size =\"17570816\"]\n  19 -> 27 [size =\"17570816\"]\n  20 [size=\"97828864\", alpha=\"0.01\", expect_size=\"48914432\"] \n  21 [size=\"40976384\", alpha=\"0.16\", expect_size=\"20488192\"] \n  21 -> 25 [size =\"20488192\"]\n  21 -> 27 [size =\"20488192\"]\n  22 [size=\"54495232\", alpha=\"0.08\", expect_size=\"27247616\"] \n  23 [size=\"62404608\", alpha=\"0.14\", expect_size=\"31202304\"] \n  23 -> 30 [size =\"31202304\"]\n  23 -> 31 [size =\"31202304\"]\n  23 -> 32 [size =\"31202304\"]\n  24 [size=\"30715904\", alpha=\"0.18\", expect_size=\"15357952\"] \n  25 [size=\"97695744\", alpha=\"0.15\", expect_size=\"48847872\"] \n  25 -> 29 [size =\"48847872\"]\n  25 -> 30 [size =\"48847872\"]\n  26 [size=\"57208832\", alpha=\"0.10\", expect_size=\"28604416\"] \n  26 -> 28 [size =\"28604416\"]\n  26 -> 30 [size =\"28604416\"]\n  27 [size=\"20455424\", alpha=\"0.07\", expect_size=\"10227712\"] \n  27 -> 32 [size =\"10227712\"]\n  28 [size=\"70569984\", alpha=\"0.02\", expect_size=\"35284992\"] \n  28 -> 36 [size =\"35284992\"]\n  29 [size=\"75913216\", alpha=\"0.08\", expect_size=\"37956608\"] \n  29 -> 37 [size =\"37956608\"]\n  30 [size=\"62887936\", alpha=\"0.08\", expect_size=\"31443968\"] \n  30 -> 33 [size =\"31443968\"]\n  30 -> 34 [size =\"31443968\"]\n  30 -> 35 [size =\"31443968\"]\n  30 -> 36 [size =\"31443968\"]\n  30 -> 38 [size =\"31443968\"]\n  31 [size=\"67833856\", alpha=\"0.20\", expect_size=\"33916928\"] \n  31 -> 35 [size =\"33916928\"]\n  31 -> 36 [size =\"33916928\"]\n  31 -> 37 [size =\"33916928\"]\n  32 [size=\"51226624\", alpha=\"0.04\", expect_size=\"25613312\"] \n  32 -> 35 [size =\"25613312\"]\n  32 -> 37 [size =\"25613312\"]\n  33 [size=\"88651776\", alpha=\"0.13\", expect_size=\"44325888\"] \n  33 -> 39 [size =\"44325888\"]\n  33 -> 40 [size =\"44325888\"]\n  34 [size=\"58646528\", alpha=\"0.07\", expect_size=\"29323264\"] \n  35 [size=\"47714304\", alpha=\"0.04\", expect_size=\"23857152\"] \n  35 -> 40 [size =\"23857152\"]\n  36 [size=\"25976832\", alpha=\"0.18\", expect_size=\"12988416\"] \n  37 [size=\"71221248\", alpha=\"0.19\", expect_size=\"35610624\"] \n  38 [size=\"102834176\", alpha=\"0.17\", expect_size=\"51417088\"] \n  39 [size=\"19560448\", alpha=\"0.20\", expect_size=\"9780224\"] \n  40 [size=\"58357760\", alpha=\"0.01\", expect_size=\"29178880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58908160\", alpha=\"0.01\", expect_size=\"23563264\"] \n  1 -> 30 [size =\"23563264\"]\n  1 -> 37 [size =\"23563264\"]\n  1 -> 39 [size =\"23563264\"]\n  2 [size=\"111083520\", alpha=\"0.20\", expect_size=\"44433408\"] \n  2 -> 31 [size =\"44433408\"]\n  2 -> 34 [size =\"44433408\"]\n  2 -> 37 [size =\"44433408\"]\n  2 -> 39 [size =\"44433408\"]\n  2 -> 40 [size =\"44433408\"]\n  3 [size=\"36300800\", alpha=\"0.11\", expect_size=\"14520320\"] \n  3 -> 35 [size =\"14520320\"]\n  3 -> 37 [size =\"14520320\"]\n  4 [size=\"87426560\", alpha=\"0.15\", expect_size=\"34970624\"] \n  4 -> 31 [size =\"34970624\"]\n  4 -> 34 [size =\"34970624\"]\n  4 -> 35 [size =\"34970624\"]\n  5 [size=\"95966720\", alpha=\"0.08\", expect_size=\"38386688\"] \n  5 -> 31 [size =\"38386688\"]\n  5 -> 34 [size =\"38386688\"]\n  5 -> 38 [size =\"38386688\"]\n  5 -> 39 [size =\"38386688\"]\n  5 -> 40 [size =\"38386688\"]\n  6 [size=\"125473280\", alpha=\"0.03\", expect_size=\"50189312\"] \n  6 -> 31 [size =\"50189312\"]\n  6 -> 34 [size =\"50189312\"]\n  6 -> 37 [size =\"50189312\"]\n  6 -> 40 [size =\"50189312\"]\n  7 [size=\"52843520\", alpha=\"0.04\", expect_size=\"21137408\"] \n  7 -> 31 [size =\"21137408\"]\n  7 -> 32 [size =\"21137408\"]\n  7 -> 34 [size =\"21137408\"]\n  7 -> 35 [size =\"21137408\"]\n  7 -> 37 [size =\"21137408\"]\n  7 -> 38 [size =\"21137408\"]\n  7 -> 39 [size =\"21137408\"]\n  8 [size=\"81167360\", alpha=\"0.18\", expect_size=\"32466944\"] \n  8 -> 31 [size =\"32466944\"]\n  8 -> 34 [size =\"32466944\"]\n  8 -> 35 [size =\"32466944\"]\n  8 -> 35 [size =\"32466944\"]\n  8 -> 37 [size =\"32466944\"]\n  8 -> 38 [size =\"32466944\"]\n  8 -> 39 [size =\"32466944\"]\n  9 [size=\"81259520\", alpha=\"0.05\", expect_size=\"32503808\"] \n  9 -> 35 [size =\"32503808\"]\n  9 -> 36 [size =\"32503808\"]\n  9 -> 39 [size =\"32503808\"]\n  9 -> 40 [size =\"32503808\"]\n  10 [size=\"21319680\", alpha=\"0.17\", expect_size=\"8527872\"] \n  10 -> 33 [size =\"8527872\"]\n  10 -> 34 [size =\"8527872\"]\n  10 -> 35 [size =\"8527872\"]\n  10 -> 37 [size =\"8527872\"]\n  11 [size=\"129006080\", alpha=\"0.15\", expect_size=\"51602432\"] \n  11 -> 34 [size =\"51602432\"]\n  11 -> 34 [size =\"51602432\"]\n  11 -> 38 [size =\"51602432\"]\n  12 [size=\"18083840\", alpha=\"0.04\", expect_size=\"7233536\"] \n  12 -> 34 [size =\"7233536\"]\n  12 -> 35 [size =\"7233536\"]\n  12 -> 39 [size =\"7233536\"]\n  13 [size=\"16263680\", alpha=\"0.12\", expect_size=\"6505472\"] \n  13 -> 31 [size =\"6505472\"]\n  13 -> 39 [size =\"6505472\"]\n  14 [size=\"81228800\", alpha=\"0.07\", expect_size=\"32491520\"] \n  14 -> 31 [size =\"32491520\"]\n  14 -> 37 [size =\"32491520\"]\n  14 -> 39 [size =\"32491520\"]\n  15 [size=\"50892800\", alpha=\"0.17\", expect_size=\"20357120\"] \n  15 -> 31 [size =\"20357120\"]\n  15 -> 34 [size =\"20357120\"]\n  15 -> 38 [size =\"20357120\"]\n  15 -> 39 [size =\"20357120\"]\n  15 -> 40 [size =\"20357120\"]\n  16 [size=\"98928640\", alpha=\"0.06\", expect_size=\"39571456\"] \n  16 -> 30 [size =\"39571456\"]\n  16 -> 31 [size =\"39571456\"]\n  16 -> 32 [size =\"39571456\"]\n  16 -> 39 [size =\"39571456\"]\n  16 -> 40 [size =\"39571456\"]\n  17 [size=\"115200000\", alpha=\"0.06\", expect_size=\"46080000\"] \n  17 -> 31 [size =\"46080000\"]\n  17 -> 31 [size =\"46080000\"]\n  17 -> 39 [size =\"46080000\"]\n  17 -> 39 [size =\"46080000\"]\n  17 -> 40 [size =\"46080000\"]\n  18 [size=\"23219200\", alpha=\"0.16\", expect_size=\"9287680\"] \n  18 -> 31 [size =\"9287680\"]\n  18 -> 37 [size =\"9287680\"]\n  19 [size=\"130472960\", alpha=\"0.03\", expect_size=\"52189184\"] \n  19 -> 30 [size =\"52189184\"]\n  19 -> 31 [size =\"52189184\"]\n  19 -> 34 [size =\"52189184\"]\n  19 -> 38 [size =\"52189184\"]\n  20 [size=\"39400960\", alpha=\"0.08\", expect_size=\"15760384\"] \n  20 -> 30 [size =\"15760384\"]\n  20 -> 37 [size =\"15760384\"]\n  20 -> 38 [size =\"15760384\"]\n  21 [size=\"19169280\", alpha=\"0.01\", expect_size=\"7667712\"] \n  21 -> 30 [size =\"7667712\"]\n  21 -> 35 [size =\"7667712\"]\n  21 -> 39 [size =\"7667712\"]\n  22 [size=\"105379840\", alpha=\"0.11\", expect_size=\"42151936\"] \n  22 -> 30 [size =\"42151936\"]\n  22 -> 34 [size =\"42151936\"]\n  23 [size=\"127918080\", alpha=\"0.05\", expect_size=\"51167232\"] \n  23 -> 30 [size =\"51167232\"]\n  23 -> 31 [size =\"51167232\"]\n  23 -> 40 [size =\"51167232\"]\n  24 [size=\"82137600\", alpha=\"0.12\", expect_size=\"32855040\"] \n  24 -> 31 [size =\"32855040\"]\n  24 -> 31 [size =\"32855040\"]\n  25 [size=\"124846080\", alpha=\"0.12\", expect_size=\"49938432\"] \n  25 -> 31 [size =\"49938432\"]\n  25 -> 34 [size =\"49938432\"]\n  25 -> 37 [size =\"49938432\"]\n  25 -> 39 [size =\"49938432\"]\n  26 [size=\"109501440\", alpha=\"0.12\", expect_size=\"43800576\"] \n  26 -> 30 [size =\"43800576\"]\n  26 -> 40 [size =\"43800576\"]\n  27 [size=\"28305920\", alpha=\"0.18\", expect_size=\"11322368\"] \n  27 -> 37 [size =\"11322368\"]\n  27 -> 40 [size =\"11322368\"]\n  28 [size=\"62871040\", alpha=\"0.16\", expect_size=\"25148416\"] \n  28 -> 33 [size =\"25148416\"]\n  28 -> 34 [size =\"25148416\"]\n  28 -> 37 [size =\"25148416\"]\n  28 -> 39 [size =\"25148416\"]\n  28 -> 40 [size =\"25148416\"]\n  29 [size=\"39933440\", alpha=\"0.05\", expect_size=\"15973376\"] \n  29 -> 39 [size =\"15973376\"]\n  29 -> 40 [size =\"15973376\"]\n  30 [size=\"55649280\", alpha=\"0.16\", expect_size=\"22259712\"] \n  31 [size=\"104007680\", alpha=\"0.06\", expect_size=\"41603072\"] \n  32 [size=\"112844800\", alpha=\"0.18\", expect_size=\"45137920\"] \n  33 [size=\"62177280\", alpha=\"0.09\", expect_size=\"24870912\"] \n  34 [size=\"93163520\", alpha=\"0.13\", expect_size=\"37265408\"] \n  35 [size=\"44190720\", alpha=\"0.03\", expect_size=\"17676288\"] \n  36 [size=\"116088320\", alpha=\"0.07\", expect_size=\"46435328\"] \n  37 [size=\"67325440\", alpha=\"0.08\", expect_size=\"26930176\"] \n  38 [size=\"55608320\", alpha=\"0.12\", expect_size=\"22243328\"] \n  39 [size=\"31032320\", alpha=\"0.15\", expect_size=\"12412928\"] \n  40 [size=\"61754880\", alpha=\"0.03\", expect_size=\"24701952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56360960\", alpha=\"0.08\", expect_size=\"28180480\"] \n  1 -> 22 [size =\"28180480\"]\n  1 -> 28 [size =\"28180480\"]\n  1 -> 31 [size =\"28180480\"]\n  1 -> 32 [size =\"28180480\"]\n  1 -> 38 [size =\"28180480\"]\n  2 [size=\"35344384\", alpha=\"0.01\", expect_size=\"17672192\"] \n  2 -> 38 [size =\"17672192\"]\n  2 -> 39 [size =\"17672192\"]\n  3 [size=\"38541312\", alpha=\"0.01\", expect_size=\"19270656\"] \n  3 -> 31 [size =\"19270656\"]\n  3 -> 32 [size =\"19270656\"]\n  3 -> 36 [size =\"19270656\"]\n  4 [size=\"99350528\", alpha=\"0.07\", expect_size=\"49675264\"] \n  4 -> 22 [size =\"49675264\"]\n  4 -> 23 [size =\"49675264\"]\n  4 -> 24 [size =\"49675264\"]\n  4 -> 25 [size =\"49675264\"]\n  4 -> 31 [size =\"49675264\"]\n  4 -> 34 [size =\"49675264\"]\n  4 -> 35 [size =\"49675264\"]\n  4 -> 40 [size =\"49675264\"]\n  5 [size=\"26652672\", alpha=\"0.15\", expect_size=\"13326336\"] \n  5 -> 29 [size =\"13326336\"]\n  5 -> 34 [size =\"13326336\"]\n  5 -> 35 [size =\"13326336\"]\n  5 -> 37 [size =\"13326336\"]\n  5 -> 40 [size =\"13326336\"]\n  6 [size=\"54294528\", alpha=\"0.09\", expect_size=\"27147264\"] \n  6 -> 25 [size =\"27147264\"]\n  6 -> 31 [size =\"27147264\"]\n  6 -> 34 [size =\"27147264\"]\n  6 -> 35 [size =\"27147264\"]\n  6 -> 39 [size =\"27147264\"]\n  7 [size=\"54056960\", alpha=\"0.12\", expect_size=\"27028480\"] \n  7 -> 22 [size =\"27028480\"]\n  7 -> 23 [size =\"27028480\"]\n  7 -> 31 [size =\"27028480\"]\n  7 -> 39 [size =\"27028480\"]\n  8 [size=\"38387712\", alpha=\"0.07\", expect_size=\"19193856\"] \n  8 -> 24 [size =\"19193856\"]\n  8 -> 25 [size =\"19193856\"]\n  8 -> 26 [size =\"19193856\"]\n  8 -> 36 [size =\"19193856\"]\n  9 [size=\"101971968\", alpha=\"0.08\", expect_size=\"50985984\"] \n  9 -> 22 [size =\"50985984\"]\n  9 -> 25 [size =\"50985984\"]\n  9 -> 26 [size =\"50985984\"]\n  9 -> 32 [size =\"50985984\"]\n  9 -> 38 [size =\"50985984\"]\n  9 -> 39 [size =\"50985984\"]\n  10 [size=\"73170944\", alpha=\"0.14\", expect_size=\"36585472\"] \n  10 -> 22 [size =\"36585472\"]\n  10 -> 23 [size =\"36585472\"]\n  10 -> 27 [size =\"36585472\"]\n  10 -> 32 [size =\"36585472\"]\n  10 -> 34 [size =\"36585472\"]\n  10 -> 39 [size =\"36585472\"]\n  11 [size=\"47953920\", alpha=\"0.14\", expect_size=\"23976960\"] \n  11 -> 22 [size =\"23976960\"]\n  11 -> 29 [size =\"23976960\"]\n  11 -> 32 [size =\"23976960\"]\n  11 -> 36 [size =\"23976960\"]\n  11 -> 39 [size =\"23976960\"]\n  12 [size=\"87613440\", alpha=\"0.18\", expect_size=\"43806720\"] \n  12 -> 22 [size =\"43806720\"]\n  12 -> 25 [size =\"43806720\"]\n  12 -> 34 [size =\"43806720\"]\n  12 -> 37 [size =\"43806720\"]\n  12 -> 38 [size =\"43806720\"]\n  13 [size=\"93802496\", alpha=\"0.19\", expect_size=\"46901248\"] \n  13 -> 22 [size =\"46901248\"]\n  13 -> 24 [size =\"46901248\"]\n  13 -> 25 [size =\"46901248\"]\n  13 -> 26 [size =\"46901248\"]\n  13 -> 30 [size =\"46901248\"]\n  13 -> 33 [size =\"46901248\"]\n  13 -> 35 [size =\"46901248\"]\n  14 [size=\"99350528\", alpha=\"0.00\", expect_size=\"49675264\"] \n  14 -> 22 [size =\"49675264\"]\n  14 -> 24 [size =\"49675264\"]\n  14 -> 27 [size =\"49675264\"]\n  14 -> 28 [size =\"49675264\"]\n  14 -> 37 [size =\"49675264\"]\n  14 -> 39 [size =\"49675264\"]\n  15 [size=\"36429824\", alpha=\"0.18\", expect_size=\"18214912\"] \n  15 -> 22 [size =\"18214912\"]\n  15 -> 23 [size =\"18214912\"]\n  15 -> 24 [size =\"18214912\"]\n  15 -> 27 [size =\"18214912\"]\n  15 -> 28 [size =\"18214912\"]\n  15 -> 30 [size =\"18214912\"]\n  16 [size=\"13275136\", alpha=\"0.15\", expect_size=\"6637568\"] \n  16 -> 24 [size =\"6637568\"]\n  16 -> 25 [size =\"6637568\"]\n  16 -> 31 [size =\"6637568\"]\n  16 -> 32 [size =\"6637568\"]\n  16 -> 35 [size =\"6637568\"]\n  17 [size=\"55040000\", alpha=\"0.06\", expect_size=\"27520000\"] \n  17 -> 24 [size =\"27520000\"]\n  17 -> 32 [size =\"27520000\"]\n  18 [size=\"17567744\", alpha=\"0.15\", expect_size=\"8783872\"] \n  18 -> 22 [size =\"8783872\"]\n  18 -> 26 [size =\"8783872\"]\n  18 -> 31 [size =\"8783872\"]\n  18 -> 34 [size =\"8783872\"]\n  18 -> 36 [size =\"8783872\"]\n  18 -> 39 [size =\"8783872\"]\n  19 [size=\"49666048\", alpha=\"0.18\", expect_size=\"24833024\"] \n  19 -> 23 [size =\"24833024\"]\n  19 -> 24 [size =\"24833024\"]\n  19 -> 26 [size =\"24833024\"]\n  19 -> 36 [size =\"24833024\"]\n  19 -> 38 [size =\"24833024\"]\n  20 [size=\"85489664\", alpha=\"0.08\", expect_size=\"42744832\"] \n  20 -> 34 [size =\"42744832\"]\n  20 -> 38 [size =\"42744832\"]\n  20 -> 40 [size =\"42744832\"]\n  21 [size=\"56229888\", alpha=\"0.07\", expect_size=\"28114944\"] \n  21 -> 25 [size =\"28114944\"]\n  21 -> 31 [size =\"28114944\"]\n  21 -> 37 [size =\"28114944\"]\n  22 [size=\"30193664\", alpha=\"0.11\", expect_size=\"15096832\"] \n  23 [size=\"20418560\", alpha=\"0.02\", expect_size=\"10209280\"] \n  24 [size=\"18020352\", alpha=\"0.11\", expect_size=\"9010176\"] \n  25 [size=\"19249152\", alpha=\"0.03\", expect_size=\"9624576\"] \n  26 [size=\"11988992\", alpha=\"0.05\", expect_size=\"5994496\"] \n  27 [size=\"80975872\", alpha=\"0.16\", expect_size=\"40487936\"] \n  28 [size=\"14608384\", alpha=\"0.13\", expect_size=\"7304192\"] \n  29 [size=\"84434944\", alpha=\"0.10\", expect_size=\"42217472\"] \n  30 [size=\"77332480\", alpha=\"0.19\", expect_size=\"38666240\"] \n  31 [size=\"20080640\", alpha=\"0.17\", expect_size=\"10040320\"] \n  32 [size=\"52928512\", alpha=\"0.11\", expect_size=\"26464256\"] \n  33 [size=\"11993088\", alpha=\"0.03\", expect_size=\"5996544\"] \n  34 [size=\"19701760\", alpha=\"0.13\", expect_size=\"9850880\"] \n  35 [size=\"70547456\", alpha=\"0.09\", expect_size=\"35273728\"] \n  36 [size=\"86331392\", alpha=\"0.05\", expect_size=\"43165696\"] \n  37 [size=\"16486400\", alpha=\"0.11\", expect_size=\"8243200\"] \n  38 [size=\"93331456\", alpha=\"0.19\", expect_size=\"46665728\"] \n  39 [size=\"61655040\", alpha=\"0.15\", expect_size=\"30827520\"] \n  40 [size=\"12943360\", alpha=\"0.06\", expect_size=\"6471680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104501760\", alpha=\"0.04\", expect_size=\"41800704\"] \n  1 -> 2 [size =\"41800704\"]\n  1 -> 3 [size =\"41800704\"]\n  1 -> 4 [size =\"41800704\"]\n  2 [size=\"15313920\", alpha=\"0.18\", expect_size=\"6125568\"] \n  2 -> 5 [size =\"6125568\"]\n  2 -> 6 [size =\"6125568\"]\n  3 [size=\"108753920\", alpha=\"0.02\", expect_size=\"43501568\"] \n  3 -> 7 [size =\"43501568\"]\n  4 [size=\"22428160\", alpha=\"0.14\", expect_size=\"8971264\"] \n  4 -> 5 [size =\"8971264\"]\n  4 -> 6 [size =\"8971264\"]\n  5 [size=\"25940480\", alpha=\"0.06\", expect_size=\"10376192\"] \n  5 -> 8 [size =\"10376192\"]\n  5 -> 9 [size =\"10376192\"]\n  6 [size=\"46888960\", alpha=\"0.10\", expect_size=\"18755584\"] \n  7 [size=\"93857280\", alpha=\"0.09\", expect_size=\"37542912\"] \n  8 [size=\"123599360\", alpha=\"0.04\", expect_size=\"49439744\"] \n  8 -> 10 [size =\"49439744\"]\n  8 -> 11 [size =\"49439744\"]\n  9 [size=\"46512640\", alpha=\"0.07\", expect_size=\"18605056\"] \n  9 -> 11 [size =\"18605056\"]\n  9 -> 12 [size =\"18605056\"]\n  10 [size=\"86144000\", alpha=\"0.07\", expect_size=\"34457600\"] \n  10 -> 14 [size =\"34457600\"]\n  11 [size=\"110021120\", alpha=\"0.20\", expect_size=\"44008448\"] \n  11 -> 13 [size =\"44008448\"]\n  12 [size=\"13752320\", alpha=\"0.11\", expect_size=\"5500928\"] \n  13 [size=\"121582080\", alpha=\"0.09\", expect_size=\"48632832\"] \n  13 -> 15 [size =\"48632832\"]\n  13 -> 16 [size =\"48632832\"]\n  14 [size=\"14220800\", alpha=\"0.15\", expect_size=\"5688320\"] \n  14 -> 15 [size =\"5688320\"]\n  14 -> 16 [size =\"5688320\"]\n  15 [size=\"98867200\", alpha=\"0.12\", expect_size=\"39546880\"] \n  16 [size=\"17738240\", alpha=\"0.06\", expect_size=\"7095296\"] \n  16 -> 17 [size =\"7095296\"]\n  17 [size=\"79229440\", alpha=\"0.02\", expect_size=\"31691776\"] \n  17 -> 18 [size =\"31691776\"]\n  17 -> 19 [size =\"31691776\"]\n  17 -> 20 [size =\"31691776\"]\n  17 -> 21 [size =\"31691776\"]\n  18 [size=\"130460160\", alpha=\"0.10\", expect_size=\"52184064\"] \n  18 -> 22 [size =\"52184064\"]\n  18 -> 23 [size =\"52184064\"]\n  19 [size=\"36723200\", alpha=\"0.07\", expect_size=\"14689280\"] \n  19 -> 23 [size =\"14689280\"]\n  20 [size=\"79982080\", alpha=\"0.06\", expect_size=\"31992832\"] \n  20 -> 22 [size =\"31992832\"]\n  21 [size=\"123338240\", alpha=\"0.01\", expect_size=\"49335296\"] \n  21 -> 22 [size =\"49335296\"]\n  21 -> 23 [size =\"49335296\"]\n  22 [size=\"121402880\", alpha=\"0.17\", expect_size=\"48561152\"] \n  22 -> 24 [size =\"48561152\"]\n  22 -> 25 [size =\"48561152\"]\n  22 -> 26 [size =\"48561152\"]\n  23 [size=\"66309120\", alpha=\"0.08\", expect_size=\"26523648\"] \n  23 -> 25 [size =\"26523648\"]\n  24 [size=\"117693440\", alpha=\"0.01\", expect_size=\"47077376\"] \n  24 -> 28 [size =\"47077376\"]\n  24 -> 29 [size =\"47077376\"]\n  25 [size=\"87464960\", alpha=\"0.17\", expect_size=\"34985984\"] \n  25 -> 27 [size =\"34985984\"]\n  25 -> 29 [size =\"34985984\"]\n  26 [size=\"41912320\", alpha=\"0.18\", expect_size=\"16764928\"] \n  26 -> 27 [size =\"16764928\"]\n  27 [size=\"74460160\", alpha=\"0.12\", expect_size=\"29784064\"] \n  27 -> 31 [size =\"29784064\"]\n  28 [size=\"86003200\", alpha=\"0.06\", expect_size=\"34401280\"] \n  28 -> 30 [size =\"34401280\"]\n  29 [size=\"27325440\", alpha=\"0.05\", expect_size=\"10930176\"] \n  30 [size=\"68631040\", alpha=\"0.16\", expect_size=\"27452416\"] \n  30 -> 32 [size =\"27452416\"]\n  30 -> 33 [size =\"27452416\"]\n  31 [size=\"106700800\", alpha=\"0.04\", expect_size=\"42680320\"] \n  31 -> 32 [size =\"42680320\"]\n  31 -> 33 [size =\"42680320\"]\n  32 [size=\"114964480\", alpha=\"0.12\", expect_size=\"45985792\"] \n  32 -> 34 [size =\"45985792\"]\n  33 [size=\"95628800\", alpha=\"0.19\", expect_size=\"38251520\"] \n  33 -> 34 [size =\"38251520\"]\n  34 [size=\"26378240\", alpha=\"0.05\", expect_size=\"10551296\"] \n  34 -> 35 [size =\"10551296\"]\n  34 -> 36 [size =\"10551296\"]\n  35 [size=\"34498560\", alpha=\"0.07\", expect_size=\"13799424\"] \n  35 -> 37 [size =\"13799424\"]\n  36 [size=\"14858240\", alpha=\"0.09\", expect_size=\"5943296\"] \n  36 -> 37 [size =\"5943296\"]\n  37 [size=\"119208960\", alpha=\"0.02\", expect_size=\"47683584\"] \n  37 -> 38 [size =\"47683584\"]\n  38 [size=\"74403840\", alpha=\"0.15\", expect_size=\"29761536\"] \n  38 -> 39 [size =\"29761536\"]\n  38 -> 40 [size =\"29761536\"]\n  39 [size=\"108902400\", alpha=\"0.12\", expect_size=\"43560960\"] \n  40 [size=\"20180480\", alpha=\"0.00\", expect_size=\"8072192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50777600\", alpha=\"0.13\", expect_size=\"20311040\"] \n  1 -> 18 [size =\"20311040\"]\n  1 -> 19 [size =\"20311040\"]\n  1 -> 20 [size =\"20311040\"]\n  1 -> 21 [size =\"20311040\"]\n  1 -> 27 [size =\"20311040\"]\n  2 [size=\"27499520\", alpha=\"0.01\", expect_size=\"10999808\"] \n  2 -> 16 [size =\"10999808\"]\n  2 -> 20 [size =\"10999808\"]\n  2 -> 21 [size =\"10999808\"]\n  2 -> 23 [size =\"10999808\"]\n  2 -> 24 [size =\"10999808\"]\n  2 -> 27 [size =\"10999808\"]\n  3 [size=\"63083520\", alpha=\"0.02\", expect_size=\"25233408\"] \n  3 -> 13 [size =\"25233408\"]\n  3 -> 17 [size =\"25233408\"]\n  3 -> 18 [size =\"25233408\"]\n  3 -> 21 [size =\"25233408\"]\n  3 -> 23 [size =\"25233408\"]\n  4 [size=\"89991680\", alpha=\"0.13\", expect_size=\"35996672\"] \n  4 -> 13 [size =\"35996672\"]\n  4 -> 17 [size =\"35996672\"]\n  4 -> 21 [size =\"35996672\"]\n  4 -> 23 [size =\"35996672\"]\n  5 [size=\"102566400\", alpha=\"0.11\", expect_size=\"41026560\"] \n  5 -> 16 [size =\"41026560\"]\n  5 -> 21 [size =\"41026560\"]\n  5 -> 24 [size =\"41026560\"]\n  5 -> 25 [size =\"41026560\"]\n  6 [size=\"83020800\", alpha=\"0.15\", expect_size=\"33208320\"] \n  6 -> 14 [size =\"33208320\"]\n  6 -> 15 [size =\"33208320\"]\n  6 -> 16 [size =\"33208320\"]\n  6 -> 21 [size =\"33208320\"]\n  6 -> 22 [size =\"33208320\"]\n  7 [size=\"48140800\", alpha=\"0.06\", expect_size=\"19256320\"] \n  7 -> 12 [size =\"19256320\"]\n  7 -> 15 [size =\"19256320\"]\n  7 -> 17 [size =\"19256320\"]\n  7 -> 18 [size =\"19256320\"]\n  7 -> 23 [size =\"19256320\"]\n  7 -> 26 [size =\"19256320\"]\n  8 [size=\"116776960\", alpha=\"0.17\", expect_size=\"46710784\"] \n  8 -> 13 [size =\"46710784\"]\n  8 -> 15 [size =\"46710784\"]\n  8 -> 16 [size =\"46710784\"]\n  8 -> 22 [size =\"46710784\"]\n  8 -> 24 [size =\"46710784\"]\n  9 [size=\"129602560\", alpha=\"0.09\", expect_size=\"51841024\"] \n  9 -> 12 [size =\"51841024\"]\n  9 -> 13 [size =\"51841024\"]\n  9 -> 15 [size =\"51841024\"]\n  9 -> 16 [size =\"51841024\"]\n  9 -> 17 [size =\"51841024\"]\n  9 -> 18 [size =\"51841024\"]\n  9 -> 24 [size =\"51841024\"]\n  10 [size=\"126062080\", alpha=\"0.07\", expect_size=\"50424832\"] \n  10 -> 12 [size =\"50424832\"]\n  10 -> 15 [size =\"50424832\"]\n  10 -> 16 [size =\"50424832\"]\n  10 -> 17 [size =\"50424832\"]\n  10 -> 18 [size =\"50424832\"]\n  10 -> 20 [size =\"50424832\"]\n  10 -> 24 [size =\"50424832\"]\n  11 [size=\"90846720\", alpha=\"0.10\", expect_size=\"36338688\"] \n  11 -> 15 [size =\"36338688\"]\n  11 -> 26 [size =\"36338688\"]\n  12 [size=\"49845760\", alpha=\"0.05\", expect_size=\"19938304\"] \n  12 -> 30 [size =\"19938304\"]\n  12 -> 34 [size =\"19938304\"]\n  12 -> 36 [size =\"19938304\"]\n  12 -> 39 [size =\"19938304\"]\n  13 [size=\"52925440\", alpha=\"0.17\", expect_size=\"21170176\"] \n  13 -> 29 [size =\"21170176\"]\n  13 -> 32 [size =\"21170176\"]\n  13 -> 34 [size =\"21170176\"]\n  13 -> 36 [size =\"21170176\"]\n  13 -> 39 [size =\"21170176\"]\n  14 [size=\"64422400\", alpha=\"0.18\", expect_size=\"25768960\"] \n  14 -> 38 [size =\"25768960\"]\n  14 -> 40 [size =\"25768960\"]\n  15 [size=\"22850560\", alpha=\"0.08\", expect_size=\"9140224\"] \n  15 -> 30 [size =\"9140224\"]\n  15 -> 33 [size =\"9140224\"]\n  15 -> 37 [size =\"9140224\"]\n  15 -> 39 [size =\"9140224\"]\n  16 [size=\"85736960\", alpha=\"0.10\", expect_size=\"34294784\"] \n  16 -> 35 [size =\"34294784\"]\n  16 -> 38 [size =\"34294784\"]\n  16 -> 39 [size =\"34294784\"]\n  17 [size=\"58045440\", alpha=\"0.18\", expect_size=\"23218176\"] \n  17 -> 30 [size =\"23218176\"]\n  17 -> 31 [size =\"23218176\"]\n  17 -> 32 [size =\"23218176\"]\n  17 -> 34 [size =\"23218176\"]\n  17 -> 36 [size =\"23218176\"]\n  17 -> 37 [size =\"23218176\"]\n  17 -> 39 [size =\"23218176\"]\n  17 -> 40 [size =\"23218176\"]\n  18 [size=\"93079040\", alpha=\"0.14\", expect_size=\"37231616\"] \n  18 -> 31 [size =\"37231616\"]\n  18 -> 36 [size =\"37231616\"]\n  18 -> 38 [size =\"37231616\"]\n  19 [size=\"72855040\", alpha=\"0.09\", expect_size=\"29142016\"] \n  19 -> 31 [size =\"29142016\"]\n  19 -> 34 [size =\"29142016\"]\n  19 -> 40 [size =\"29142016\"]\n  20 [size=\"125173760\", alpha=\"0.10\", expect_size=\"50069504\"] \n  20 -> 33 [size =\"50069504\"]\n  20 -> 34 [size =\"50069504\"]\n  20 -> 38 [size =\"50069504\"]\n  21 [size=\"46507520\", alpha=\"0.17\", expect_size=\"18603008\"] \n  21 -> 28 [size =\"18603008\"]\n  21 -> 30 [size =\"18603008\"]\n  21 -> 31 [size =\"18603008\"]\n  21 -> 32 [size =\"18603008\"]\n  21 -> 33 [size =\"18603008\"]\n  21 -> 38 [size =\"18603008\"]\n  22 [size=\"104885760\", alpha=\"0.06\", expect_size=\"41954304\"] \n  22 -> 30 [size =\"41954304\"]\n  22 -> 37 [size =\"41954304\"]\n  22 -> 40 [size =\"41954304\"]\n  23 [size=\"16053760\", alpha=\"0.03\", expect_size=\"6421504\"] \n  23 -> 29 [size =\"6421504\"]\n  23 -> 37 [size =\"6421504\"]\n  23 -> 38 [size =\"6421504\"]\n  23 -> 39 [size =\"6421504\"]\n  23 -> 40 [size =\"6421504\"]\n  24 [size=\"116462080\", alpha=\"0.14\", expect_size=\"46584832\"] \n  24 -> 29 [size =\"46584832\"]\n  24 -> 30 [size =\"46584832\"]\n  24 -> 34 [size =\"46584832\"]\n  24 -> 37 [size =\"46584832\"]\n  24 -> 38 [size =\"46584832\"]\n  24 -> 39 [size =\"46584832\"]\n  25 [size=\"104732160\", alpha=\"0.00\", expect_size=\"41892864\"] \n  25 -> 30 [size =\"41892864\"]\n  25 -> 37 [size =\"41892864\"]\n  25 -> 39 [size =\"41892864\"]\n  26 [size=\"33049600\", alpha=\"0.18\", expect_size=\"13219840\"] \n  26 -> 34 [size =\"13219840\"]\n  27 [size=\"91448320\", alpha=\"0.01\", expect_size=\"36579328\"] \n  28 [size=\"82542080\", alpha=\"0.03\", expect_size=\"33016832\"] \n  29 [size=\"47152640\", alpha=\"0.04\", expect_size=\"18861056\"] \n  30 [size=\"102745600\", alpha=\"0.04\", expect_size=\"41098240\"] \n  31 [size=\"42631680\", alpha=\"0.17\", expect_size=\"17052672\"] \n  32 [size=\"22446080\", alpha=\"0.17\", expect_size=\"8978432\"] \n  33 [size=\"56581120\", alpha=\"0.03\", expect_size=\"22632448\"] \n  34 [size=\"77048320\", alpha=\"0.18\", expect_size=\"30819328\"] \n  35 [size=\"42772480\", alpha=\"0.15\", expect_size=\"17108992\"] \n  36 [size=\"43212800\", alpha=\"0.04\", expect_size=\"17285120\"] \n  37 [size=\"30318080\", alpha=\"0.00\", expect_size=\"12127232\"] \n  38 [size=\"39124480\", alpha=\"0.11\", expect_size=\"15649792\"] \n  39 [size=\"55336960\", alpha=\"0.11\", expect_size=\"22134784\"] \n  40 [size=\"77491200\", alpha=\"0.10\", expect_size=\"30996480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16040960\", alpha=\"0.17\", expect_size=\"6416384\"] \n  1 -> 17 [size =\"6416384\"]\n  1 -> 19 [size =\"6416384\"]\n  1 -> 20 [size =\"6416384\"]\n  1 -> 23 [size =\"6416384\"]\n  1 -> 25 [size =\"6416384\"]\n  1 -> 26 [size =\"6416384\"]\n  2 [size=\"52784640\", alpha=\"0.02\", expect_size=\"21113856\"] \n  2 -> 17 [size =\"21113856\"]\n  2 -> 19 [size =\"21113856\"]\n  2 -> 21 [size =\"21113856\"]\n  2 -> 23 [size =\"21113856\"]\n  2 -> 24 [size =\"21113856\"]\n  2 -> 25 [size =\"21113856\"]\n  3 [size=\"26844160\", alpha=\"0.09\", expect_size=\"10737664\"] \n  3 -> 17 [size =\"10737664\"]\n  3 -> 18 [size =\"10737664\"]\n  3 -> 21 [size =\"10737664\"]\n  3 -> 23 [size =\"10737664\"]\n  3 -> 24 [size =\"10737664\"]\n  3 -> 25 [size =\"10737664\"]\n  3 -> 26 [size =\"10737664\"]\n  4 [size=\"30220800\", alpha=\"0.03\", expect_size=\"12088320\"] \n  4 -> 18 [size =\"12088320\"]\n  4 -> 19 [size =\"12088320\"]\n  4 -> 21 [size =\"12088320\"]\n  4 -> 22 [size =\"12088320\"]\n  4 -> 23 [size =\"12088320\"]\n  4 -> 24 [size =\"12088320\"]\n  4 -> 25 [size =\"12088320\"]\n  4 -> 26 [size =\"12088320\"]\n  5 [size=\"53905920\", alpha=\"0.19\", expect_size=\"21562368\"] \n  5 -> 20 [size =\"21562368\"]\n  5 -> 21 [size =\"21562368\"]\n  5 -> 23 [size =\"21562368\"]\n  5 -> 24 [size =\"21562368\"]\n  5 -> 25 [size =\"21562368\"]\n  5 -> 26 [size =\"21562368\"]\n  6 [size=\"62146560\", alpha=\"0.18\", expect_size=\"24858624\"] \n  6 -> 19 [size =\"24858624\"]\n  6 -> 21 [size =\"24858624\"]\n  6 -> 22 [size =\"24858624\"]\n  6 -> 24 [size =\"24858624\"]\n  6 -> 25 [size =\"24858624\"]\n  6 -> 26 [size =\"24858624\"]\n  7 [size=\"51153920\", alpha=\"0.16\", expect_size=\"20461568\"] \n  7 -> 21 [size =\"20461568\"]\n  7 -> 23 [size =\"20461568\"]\n  7 -> 24 [size =\"20461568\"]\n  7 -> 25 [size =\"20461568\"]\n  7 -> 26 [size =\"20461568\"]\n  8 [size=\"38981120\", alpha=\"0.07\", expect_size=\"15592448\"] \n  8 -> 17 [size =\"15592448\"]\n  8 -> 18 [size =\"15592448\"]\n  8 -> 19 [size =\"15592448\"]\n  8 -> 21 [size =\"15592448\"]\n  8 -> 26 [size =\"15592448\"]\n  9 [size=\"123863040\", alpha=\"0.13\", expect_size=\"49545216\"] \n  9 -> 17 [size =\"49545216\"]\n  9 -> 18 [size =\"49545216\"]\n  9 -> 21 [size =\"49545216\"]\n  9 -> 21 [size =\"49545216\"]\n  9 -> 23 [size =\"49545216\"]\n  9 -> 25 [size =\"49545216\"]\n  9 -> 26 [size =\"49545216\"]\n  10 [size=\"119296000\", alpha=\"0.19\", expect_size=\"47718400\"] \n  10 -> 17 [size =\"47718400\"]\n  10 -> 18 [size =\"47718400\"]\n  10 -> 19 [size =\"47718400\"]\n  10 -> 21 [size =\"47718400\"]\n  10 -> 23 [size =\"47718400\"]\n  10 -> 26 [size =\"47718400\"]\n  11 [size=\"55068160\", alpha=\"0.11\", expect_size=\"22027264\"] \n  11 -> 17 [size =\"22027264\"]\n  11 -> 18 [size =\"22027264\"]\n  11 -> 19 [size =\"22027264\"]\n  11 -> 21 [size =\"22027264\"]\n  11 -> 23 [size =\"22027264\"]\n  12 [size=\"36096000\", alpha=\"0.04\", expect_size=\"14438400\"] \n  12 -> 17 [size =\"14438400\"]\n  12 -> 18 [size =\"14438400\"]\n  12 -> 21 [size =\"14438400\"]\n  12 -> 22 [size =\"14438400\"]\n  12 -> 23 [size =\"14438400\"]\n  12 -> 24 [size =\"14438400\"]\n  12 -> 25 [size =\"14438400\"]\n  12 -> 26 [size =\"14438400\"]\n  13 [size=\"46364160\", alpha=\"0.02\", expect_size=\"18545664\"] \n  13 -> 17 [size =\"18545664\"]\n  13 -> 18 [size =\"18545664\"]\n  13 -> 19 [size =\"18545664\"]\n  13 -> 21 [size =\"18545664\"]\n  13 -> 22 [size =\"18545664\"]\n  13 -> 23 [size =\"18545664\"]\n  13 -> 24 [size =\"18545664\"]\n  13 -> 25 [size =\"18545664\"]\n  13 -> 26 [size =\"18545664\"]\n  14 [size=\"99112960\", alpha=\"0.14\", expect_size=\"39645184\"] \n  14 -> 17 [size =\"39645184\"]\n  14 -> 18 [size =\"39645184\"]\n  14 -> 19 [size =\"39645184\"]\n  14 -> 20 [size =\"39645184\"]\n  14 -> 21 [size =\"39645184\"]\n  14 -> 24 [size =\"39645184\"]\n  15 [size=\"119024640\", alpha=\"0.15\", expect_size=\"47609856\"] \n  15 -> 18 [size =\"47609856\"]\n  15 -> 18 [size =\"47609856\"]\n  15 -> 19 [size =\"47609856\"]\n  15 -> 23 [size =\"47609856\"]\n  15 -> 24 [size =\"47609856\"]\n  15 -> 24 [size =\"47609856\"]\n  16 [size=\"115302400\", alpha=\"0.13\", expect_size=\"46120960\"] \n  16 -> 18 [size =\"46120960\"]\n  16 -> 19 [size =\"46120960\"]\n  16 -> 19 [size =\"46120960\"]\n  16 -> 20 [size =\"46120960\"]\n  16 -> 23 [size =\"46120960\"]\n  16 -> 26 [size =\"46120960\"]\n  17 [size=\"102620160\", alpha=\"0.14\", expect_size=\"41048064\"] \n  17 -> 27 [size =\"41048064\"]\n  17 -> 28 [size =\"41048064\"]\n  17 -> 32 [size =\"41048064\"]\n  17 -> 32 [size =\"41048064\"]\n  17 -> 35 [size =\"41048064\"]\n  17 -> 37 [size =\"41048064\"]\n  18 [size=\"81651200\", alpha=\"0.18\", expect_size=\"32660480\"] \n  18 -> 27 [size =\"32660480\"]\n  18 -> 29 [size =\"32660480\"]\n  18 -> 33 [size =\"32660480\"]\n  18 -> 35 [size =\"32660480\"]\n  18 -> 37 [size =\"32660480\"]\n  19 [size=\"124044800\", alpha=\"0.09\", expect_size=\"49617920\"] \n  19 -> 28 [size =\"49617920\"]\n  19 -> 30 [size =\"49617920\"]\n  19 -> 32 [size =\"49617920\"]\n  19 -> 33 [size =\"49617920\"]\n  19 -> 34 [size =\"49617920\"]\n  19 -> 35 [size =\"49617920\"]\n  20 [size=\"84672000\", alpha=\"0.04\", expect_size=\"33868800\"] \n  20 -> 27 [size =\"33868800\"]\n  20 -> 28 [size =\"33868800\"]\n  20 -> 30 [size =\"33868800\"]\n  20 -> 33 [size =\"33868800\"]\n  20 -> 34 [size =\"33868800\"]\n  20 -> 37 [size =\"33868800\"]\n  21 [size=\"80888320\", alpha=\"0.00\", expect_size=\"32355328\"] \n  21 -> 28 [size =\"32355328\"]\n  21 -> 32 [size =\"32355328\"]\n  21 -> 35 [size =\"32355328\"]\n  21 -> 36 [size =\"32355328\"]\n  21 -> 37 [size =\"32355328\"]\n  22 [size=\"28497920\", alpha=\"0.02\", expect_size=\"11399168\"] \n  22 -> 28 [size =\"11399168\"]\n  22 -> 31 [size =\"11399168\"]\n  22 -> 32 [size =\"11399168\"]\n  22 -> 33 [size =\"11399168\"]\n  22 -> 34 [size =\"11399168\"]\n  22 -> 37 [size =\"11399168\"]\n  23 [size=\"50403840\", alpha=\"0.07\", expect_size=\"20161536\"] \n  23 -> 27 [size =\"20161536\"]\n  23 -> 28 [size =\"20161536\"]\n  23 -> 30 [size =\"20161536\"]\n  23 -> 32 [size =\"20161536\"]\n  23 -> 34 [size =\"20161536\"]\n  23 -> 35 [size =\"20161536\"]\n  23 -> 36 [size =\"20161536\"]\n  23 -> 37 [size =\"20161536\"]\n  24 [size=\"61995520\", alpha=\"0.15\", expect_size=\"24798208\"] \n  24 -> 27 [size =\"24798208\"]\n  24 -> 28 [size =\"24798208\"]\n  24 -> 30 [size =\"24798208\"]\n  24 -> 32 [size =\"24798208\"]\n  24 -> 34 [size =\"24798208\"]\n  24 -> 35 [size =\"24798208\"]\n  25 [size=\"28812800\", alpha=\"0.09\", expect_size=\"11525120\"] \n  25 -> 27 [size =\"11525120\"]\n  25 -> 28 [size =\"11525120\"]\n  25 -> 32 [size =\"11525120\"]\n  25 -> 33 [size =\"11525120\"]\n  25 -> 34 [size =\"11525120\"]\n  25 -> 37 [size =\"11525120\"]\n  26 [size=\"119418880\", alpha=\"0.12\", expect_size=\"47767552\"] \n  26 -> 27 [size =\"47767552\"]\n  26 -> 28 [size =\"47767552\"]\n  26 -> 30 [size =\"47767552\"]\n  26 -> 32 [size =\"47767552\"]\n  26 -> 33 [size =\"47767552\"]\n  26 -> 34 [size =\"47767552\"]\n  26 -> 36 [size =\"47767552\"]\n  26 -> 37 [size =\"47767552\"]\n  27 [size=\"79723520\", alpha=\"0.02\", expect_size=\"31889408\"] \n  27 -> 39 [size =\"31889408\"]\n  28 [size=\"42624000\", alpha=\"0.15\", expect_size=\"17049600\"] \n  29 [size=\"32399360\", alpha=\"0.08\", expect_size=\"12959744\"] \n  29 -> 40 [size =\"12959744\"]\n  30 [size=\"86732800\", alpha=\"0.18\", expect_size=\"34693120\"] \n  30 -> 38 [size =\"34693120\"]\n  30 -> 39 [size =\"34693120\"]\n  31 [size=\"112616960\", alpha=\"0.16\", expect_size=\"45046784\"] \n  31 -> 38 [size =\"45046784\"]\n  31 -> 39 [size =\"45046784\"]\n  31 -> 40 [size =\"45046784\"]\n  32 [size=\"112983040\", alpha=\"0.17\", expect_size=\"45193216\"] \n  32 -> 38 [size =\"45193216\"]\n  32 -> 39 [size =\"45193216\"]\n  33 [size=\"127516160\", alpha=\"0.04\", expect_size=\"51006464\"] \n  33 -> 38 [size =\"51006464\"]\n  33 -> 39 [size =\"51006464\"]\n  33 -> 40 [size =\"51006464\"]\n  34 [size=\"51985920\", alpha=\"0.06\", expect_size=\"20794368\"] \n  34 -> 38 [size =\"20794368\"]\n  34 -> 39 [size =\"20794368\"]\n  35 [size=\"21475840\", alpha=\"0.06\", expect_size=\"8590336\"] \n  35 -> 38 [size =\"8590336\"]\n  35 -> 39 [size =\"8590336\"]\n  36 [size=\"76784640\", alpha=\"0.03\", expect_size=\"30713856\"] \n  36 -> 38 [size =\"30713856\"]\n  36 -> 39 [size =\"30713856\"]\n  37 [size=\"31022080\", alpha=\"0.15\", expect_size=\"12408832\"] \n  37 -> 40 [size =\"12408832\"]\n  38 [size=\"40202240\", alpha=\"0.19\", expect_size=\"16080896\"] \n  39 [size=\"130201600\", alpha=\"0.01\", expect_size=\"52080640\"] \n  40 [size=\"57881600\", alpha=\"0.16\", expect_size=\"23152640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44931072\", alpha=\"0.11\", expect_size=\"22465536\"] \n  1 -> 4 [size =\"22465536\"]\n  2 [size=\"11741184\", alpha=\"0.06\", expect_size=\"5870592\"] \n  2 -> 4 [size =\"5870592\"]\n  3 [size=\"38461440\", alpha=\"0.03\", expect_size=\"19230720\"] \n  3 -> 4 [size =\"19230720\"]\n  4 [size=\"35821568\", alpha=\"0.14\", expect_size=\"17910784\"] \n  4 -> 5 [size =\"17910784\"]\n  4 -> 6 [size =\"17910784\"]\n  5 [size=\"50126848\", alpha=\"0.15\", expect_size=\"25063424\"] \n  5 -> 7 [size =\"25063424\"]\n  6 [size=\"88938496\", alpha=\"0.03\", expect_size=\"44469248\"] \n  6 -> 7 [size =\"44469248\"]\n  7 [size=\"92213248\", alpha=\"0.01\", expect_size=\"46106624\"] \n  7 -> 8 [size =\"46106624\"]\n  7 -> 9 [size =\"46106624\"]\n  8 [size=\"21133312\", alpha=\"0.14\", expect_size=\"10566656\"] \n  8 -> 10 [size =\"10566656\"]\n  9 [size=\"91293696\", alpha=\"0.19\", expect_size=\"45646848\"] \n  9 -> 10 [size =\"45646848\"]\n  10 [size=\"54679552\", alpha=\"0.13\", expect_size=\"27339776\"] \n  10 -> 11 [size =\"27339776\"]\n  10 -> 12 [size =\"27339776\"]\n  10 -> 13 [size =\"27339776\"]\n  11 [size=\"15771648\", alpha=\"0.18\", expect_size=\"7885824\"] \n  11 -> 14 [size =\"7885824\"]\n  11 -> 15 [size =\"7885824\"]\n  11 -> 16 [size =\"7885824\"]\n  11 -> 17 [size =\"7885824\"]\n  12 [size=\"67833856\", alpha=\"0.13\", expect_size=\"33916928\"] \n  12 -> 14 [size =\"33916928\"]\n  12 -> 17 [size =\"33916928\"]\n  13 [size=\"94048256\", alpha=\"0.17\", expect_size=\"47024128\"] \n  13 -> 14 [size =\"47024128\"]\n  13 -> 15 [size =\"47024128\"]\n  13 -> 16 [size =\"47024128\"]\n  13 -> 17 [size =\"47024128\"]\n  14 [size=\"15071232\", alpha=\"0.20\", expect_size=\"7535616\"] \n  14 -> 19 [size =\"7535616\"]\n  15 [size=\"80513024\", alpha=\"0.16\", expect_size=\"40256512\"] \n  15 -> 18 [size =\"40256512\"]\n  16 [size=\"55435264\", alpha=\"0.15\", expect_size=\"27717632\"] \n  17 [size=\"67784704\", alpha=\"0.04\", expect_size=\"33892352\"] \n  17 -> 19 [size =\"33892352\"]\n  18 [size=\"73596928\", alpha=\"0.19\", expect_size=\"36798464\"] \n  18 -> 20 [size =\"36798464\"]\n  18 -> 21 [size =\"36798464\"]\n  19 [size=\"45481984\", alpha=\"0.09\", expect_size=\"22740992\"] \n  19 -> 20 [size =\"22740992\"]\n  20 [size=\"41400320\", alpha=\"0.01\", expect_size=\"20700160\"] \n  20 -> 22 [size =\"20700160\"]\n  20 -> 23 [size =\"20700160\"]\n  21 [size=\"10541056\", alpha=\"0.01\", expect_size=\"5270528\"] \n  21 -> 23 [size =\"5270528\"]\n  21 -> 24 [size =\"5270528\"]\n  22 [size=\"97456128\", alpha=\"0.00\", expect_size=\"48728064\"] \n  22 -> 25 [size =\"48728064\"]\n  22 -> 26 [size =\"48728064\"]\n  23 [size=\"65318912\", alpha=\"0.06\", expect_size=\"32659456\"] \n  23 -> 25 [size =\"32659456\"]\n  23 -> 26 [size =\"32659456\"]\n  24 [size=\"51148800\", alpha=\"0.17\", expect_size=\"25574400\"] \n  24 -> 25 [size =\"25574400\"]\n  24 -> 26 [size =\"25574400\"]\n  24 -> 27 [size =\"25574400\"]\n  25 [size=\"50083840\", alpha=\"0.16\", expect_size=\"25041920\"] \n  25 -> 28 [size =\"25041920\"]\n  25 -> 29 [size =\"25041920\"]\n  25 -> 30 [size =\"25041920\"]\n  26 [size=\"32028672\", alpha=\"0.12\", expect_size=\"16014336\"] \n  26 -> 28 [size =\"16014336\"]\n  26 -> 29 [size =\"16014336\"]\n  26 -> 30 [size =\"16014336\"]\n  27 [size=\"100745216\", alpha=\"0.05\", expect_size=\"50372608\"] \n  27 -> 28 [size =\"50372608\"]\n  27 -> 30 [size =\"50372608\"]\n  28 [size=\"26507264\", alpha=\"0.00\", expect_size=\"13253632\"] \n  28 -> 31 [size =\"13253632\"]\n  29 [size=\"22777856\", alpha=\"0.13\", expect_size=\"11388928\"] \n  30 [size=\"66586624\", alpha=\"0.15\", expect_size=\"33293312\"] \n  30 -> 32 [size =\"33293312\"]\n  31 [size=\"72648704\", alpha=\"0.18\", expect_size=\"36324352\"] \n  31 -> 33 [size =\"36324352\"]\n  31 -> 34 [size =\"36324352\"]\n  31 -> 35 [size =\"36324352\"]\n  32 [size=\"75413504\", alpha=\"0.13\", expect_size=\"37706752\"] \n  32 -> 33 [size =\"37706752\"]\n  32 -> 34 [size =\"37706752\"]\n  32 -> 35 [size =\"37706752\"]\n  33 [size=\"76138496\", alpha=\"0.06\", expect_size=\"38069248\"] \n  34 [size=\"102795264\", alpha=\"0.00\", expect_size=\"51397632\"] \n  34 -> 36 [size =\"51397632\"]\n  35 [size=\"86353920\", alpha=\"0.09\", expect_size=\"43176960\"] \n  36 [size=\"66451456\", alpha=\"0.07\", expect_size=\"33225728\"] \n  36 -> 37 [size =\"33225728\"]\n  36 -> 38 [size =\"33225728\"]\n  36 -> 39 [size =\"33225728\"]\n  37 [size=\"27172864\", alpha=\"0.18\", expect_size=\"13586432\"] \n  38 [size=\"50245632\", alpha=\"0.01\", expect_size=\"25122816\"] \n  38 -> 40 [size =\"25122816\"]\n  39 [size=\"51947520\", alpha=\"0.13\", expect_size=\"25973760\"] \n  39 -> 40 [size =\"25973760\"]\n  40 [size=\"18716672\", alpha=\"0.10\", expect_size=\"9358336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82554880\", alpha=\"0.16\", expect_size=\"41277440\"] \n  1 -> 15 [size =\"41277440\"]\n  1 -> 20 [size =\"41277440\"]\n  1 -> 21 [size =\"41277440\"]\n  1 -> 24 [size =\"41277440\"]\n  1 -> 26 [size =\"41277440\"]\n  1 -> 26 [size =\"41277440\"]\n  1 -> 27 [size =\"41277440\"]\n  2 [size=\"59521024\", alpha=\"0.19\", expect_size=\"29760512\"] \n  2 -> 15 [size =\"29760512\"]\n  2 -> 21 [size =\"29760512\"]\n  2 -> 26 [size =\"29760512\"]\n  3 [size=\"72583168\", alpha=\"0.11\", expect_size=\"36291584\"] \n  3 -> 13 [size =\"36291584\"]\n  3 -> 15 [size =\"36291584\"]\n  3 -> 19 [size =\"36291584\"]\n  3 -> 25 [size =\"36291584\"]\n  3 -> 26 [size =\"36291584\"]\n  4 [size=\"91316224\", alpha=\"0.10\", expect_size=\"45658112\"] \n  4 -> 15 [size =\"45658112\"]\n  4 -> 20 [size =\"45658112\"]\n  5 [size=\"17790976\", alpha=\"0.05\", expect_size=\"8895488\"] \n  5 -> 20 [size =\"8895488\"]\n  5 -> 20 [size =\"8895488\"]\n  5 -> 22 [size =\"8895488\"]\n  6 [size=\"64196608\", alpha=\"0.02\", expect_size=\"32098304\"] \n  6 -> 16 [size =\"32098304\"]\n  6 -> 21 [size =\"32098304\"]\n  6 -> 25 [size =\"32098304\"]\n  7 [size=\"70977536\", alpha=\"0.15\", expect_size=\"35488768\"] \n  7 -> 16 [size =\"35488768\"]\n  7 -> 20 [size =\"35488768\"]\n  7 -> 21 [size =\"35488768\"]\n  7 -> 23 [size =\"35488768\"]\n  7 -> 24 [size =\"35488768\"]\n  7 -> 25 [size =\"35488768\"]\n  8 [size=\"24178688\", alpha=\"0.03\", expect_size=\"12089344\"] \n  8 -> 18 [size =\"12089344\"]\n  8 -> 20 [size =\"12089344\"]\n  8 -> 22 [size =\"12089344\"]\n  9 [size=\"87783424\", alpha=\"0.13\", expect_size=\"43891712\"] \n  9 -> 22 [size =\"43891712\"]\n  9 -> 24 [size =\"43891712\"]\n  9 -> 26 [size =\"43891712\"]\n  9 -> 27 [size =\"43891712\"]\n  10 [size=\"30832640\", alpha=\"0.13\", expect_size=\"15416320\"] \n  10 -> 13 [size =\"15416320\"]\n  10 -> 14 [size =\"15416320\"]\n  10 -> 15 [size =\"15416320\"]\n  10 -> 24 [size =\"15416320\"]\n  11 [size=\"100483072\", alpha=\"0.03\", expect_size=\"50241536\"] \n  11 -> 17 [size =\"50241536\"]\n  11 -> 22 [size =\"50241536\"]\n  12 [size=\"80265216\", alpha=\"0.10\", expect_size=\"40132608\"] \n  12 -> 15 [size =\"40132608\"]\n  12 -> 18 [size =\"40132608\"]\n  12 -> 19 [size =\"40132608\"]\n  12 -> 23 [size =\"40132608\"]\n  12 -> 25 [size =\"40132608\"]\n  12 -> 26 [size =\"40132608\"]\n  13 [size=\"73541632\", alpha=\"0.01\", expect_size=\"36770816\"] \n  13 -> 29 [size =\"36770816\"]\n  13 -> 31 [size =\"36770816\"]\n  13 -> 32 [size =\"36770816\"]\n  13 -> 34 [size =\"36770816\"]\n  14 [size=\"31643648\", alpha=\"0.03\", expect_size=\"15821824\"] \n  14 -> 31 [size =\"15821824\"]\n  14 -> 34 [size =\"15821824\"]\n  15 [size=\"79943680\", alpha=\"0.15\", expect_size=\"39971840\"] \n  16 [size=\"103243776\", alpha=\"0.09\", expect_size=\"51621888\"] \n  16 -> 28 [size =\"51621888\"]\n  16 -> 29 [size =\"51621888\"]\n  16 -> 34 [size =\"51621888\"]\n  16 -> 35 [size =\"51621888\"]\n  17 [size=\"19847168\", alpha=\"0.09\", expect_size=\"9923584\"] \n  17 -> 33 [size =\"9923584\"]\n  17 -> 34 [size =\"9923584\"]\n  18 [size=\"90542080\", alpha=\"0.11\", expect_size=\"45271040\"] \n  18 -> 29 [size =\"45271040\"]\n  18 -> 33 [size =\"45271040\"]\n  18 -> 34 [size =\"45271040\"]\n  19 [size=\"104853504\", alpha=\"0.07\", expect_size=\"52426752\"] \n  19 -> 33 [size =\"52426752\"]\n  20 [size=\"71137280\", alpha=\"0.01\", expect_size=\"35568640\"] \n  20 -> 33 [size =\"35568640\"]\n  21 [size=\"38811648\", alpha=\"0.10\", expect_size=\"19405824\"] \n  21 -> 30 [size =\"19405824\"]\n  21 -> 34 [size =\"19405824\"]\n  22 [size=\"51238912\", alpha=\"0.09\", expect_size=\"25619456\"] \n  22 -> 29 [size =\"25619456\"]\n  22 -> 33 [size =\"25619456\"]\n  22 -> 36 [size =\"25619456\"]\n  23 [size=\"97200128\", alpha=\"0.01\", expect_size=\"48600064\"] \n  23 -> 31 [size =\"48600064\"]\n  24 [size=\"102057984\", alpha=\"0.11\", expect_size=\"51028992\"] \n  24 -> 29 [size =\"51028992\"]\n  24 -> 34 [size =\"51028992\"]\n  25 [size=\"21233664\", alpha=\"0.02\", expect_size=\"10616832\"] \n  25 -> 29 [size =\"10616832\"]\n  26 [size=\"92598272\", alpha=\"0.05\", expect_size=\"46299136\"] \n  26 -> 29 [size =\"46299136\"]\n  26 -> 31 [size =\"46299136\"]\n  26 -> 34 [size =\"46299136\"]\n  27 [size=\"40552448\", alpha=\"0.20\", expect_size=\"20276224\"] \n  27 -> 34 [size =\"20276224\"]\n  28 [size=\"84332544\", alpha=\"0.18\", expect_size=\"42166272\"] \n  28 -> 40 [size =\"42166272\"]\n  29 [size=\"41043968\", alpha=\"0.13\", expect_size=\"20521984\"] \n  29 -> 37 [size =\"20521984\"]\n  29 -> 38 [size =\"20521984\"]\n  29 -> 40 [size =\"20521984\"]\n  30 [size=\"74684416\", alpha=\"0.12\", expect_size=\"37342208\"] \n  30 -> 39 [size =\"37342208\"]\n  31 [size=\"78245888\", alpha=\"0.10\", expect_size=\"39122944\"] \n  31 -> 38 [size =\"39122944\"]\n  31 -> 40 [size =\"39122944\"]\n  32 [size=\"29425664\", alpha=\"0.03\", expect_size=\"14712832\"] \n  32 -> 37 [size =\"14712832\"]\n  32 -> 38 [size =\"14712832\"]\n  32 -> 39 [size =\"14712832\"]\n  33 [size=\"71632896\", alpha=\"0.09\", expect_size=\"35816448\"] \n  33 -> 37 [size =\"35816448\"]\n  33 -> 38 [size =\"35816448\"]\n  33 -> 39 [size =\"35816448\"]\n  34 [size=\"78219264\", alpha=\"0.19\", expect_size=\"39109632\"] \n  34 -> 39 [size =\"39109632\"]\n  35 [size=\"35649536\", alpha=\"0.05\", expect_size=\"17824768\"] \n  35 -> 38 [size =\"17824768\"]\n  35 -> 40 [size =\"17824768\"]\n  36 [size=\"45596672\", alpha=\"0.10\", expect_size=\"22798336\"] \n  36 -> 37 [size =\"22798336\"]\n  36 -> 39 [size =\"22798336\"]\n  36 -> 40 [size =\"22798336\"]\n  37 [size=\"67403776\", alpha=\"0.17\", expect_size=\"33701888\"] \n  38 [size=\"67190784\", alpha=\"0.01\", expect_size=\"33595392\"] \n  39 [size=\"58652672\", alpha=\"0.05\", expect_size=\"29326336\"] \n  40 [size=\"24717312\", alpha=\"0.01\", expect_size=\"12358656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103215104\", alpha=\"0.10\", expect_size=\"51607552\"] \n  2 [size=\"50405376\", alpha=\"0.16\", expect_size=\"25202688\"] \n  2 -> 8 [size =\"25202688\"]\n  2 -> 10 [size =\"25202688\"]\n  3 [size=\"76212224\", alpha=\"0.00\", expect_size=\"38106112\"] \n  3 -> 8 [size =\"38106112\"]\n  4 [size=\"13975552\", alpha=\"0.15\", expect_size=\"6987776\"] \n  4 -> 8 [size =\"6987776\"]\n  4 -> 9 [size =\"6987776\"]\n  4 -> 10 [size =\"6987776\"]\n  5 [size=\"104167424\", alpha=\"0.01\", expect_size=\"52083712\"] \n  5 -> 8 [size =\"52083712\"]\n  5 -> 9 [size =\"52083712\"]\n  5 -> 11 [size =\"52083712\"]\n  6 [size=\"82692096\", alpha=\"0.02\", expect_size=\"41346048\"] \n  6 -> 8 [size =\"41346048\"]\n  6 -> 10 [size =\"41346048\"]\n  6 -> 11 [size =\"41346048\"]\n  7 [size=\"25677824\", alpha=\"0.14\", expect_size=\"12838912\"] \n  7 -> 9 [size =\"12838912\"]\n  7 -> 10 [size =\"12838912\"]\n  8 [size=\"12408832\", alpha=\"0.02\", expect_size=\"6204416\"] \n  8 -> 12 [size =\"6204416\"]\n  8 -> 13 [size =\"6204416\"]\n  8 -> 14 [size =\"6204416\"]\n  8 -> 15 [size =\"6204416\"]\n  8 -> 16 [size =\"6204416\"]\n  9 [size=\"93784064\", alpha=\"0.13\", expect_size=\"46892032\"] \n  9 -> 12 [size =\"46892032\"]\n  9 -> 13 [size =\"46892032\"]\n  9 -> 14 [size =\"46892032\"]\n  10 [size=\"58103808\", alpha=\"0.10\", expect_size=\"29051904\"] \n  10 -> 12 [size =\"29051904\"]\n  10 -> 13 [size =\"29051904\"]\n  10 -> 14 [size =\"29051904\"]\n  10 -> 15 [size =\"29051904\"]\n  11 [size=\"56057856\", alpha=\"0.07\", expect_size=\"28028928\"] \n  11 -> 12 [size =\"28028928\"]\n  11 -> 14 [size =\"28028928\"]\n  11 -> 15 [size =\"28028928\"]\n  11 -> 16 [size =\"28028928\"]\n  11 -> 17 [size =\"28028928\"]\n  12 [size=\"104587264\", alpha=\"0.16\", expect_size=\"52293632\"] \n  12 -> 19 [size =\"52293632\"]\n  12 -> 20 [size =\"52293632\"]\n  12 -> 21 [size =\"52293632\"]\n  12 -> 23 [size =\"52293632\"]\n  13 [size=\"87676928\", alpha=\"0.06\", expect_size=\"43838464\"] \n  13 -> 19 [size =\"43838464\"]\n  13 -> 21 [size =\"43838464\"]\n  13 -> 22 [size =\"43838464\"]\n  13 -> 23 [size =\"43838464\"]\n  14 [size=\"87705600\", alpha=\"0.09\", expect_size=\"43852800\"] \n  14 -> 19 [size =\"43852800\"]\n  14 -> 23 [size =\"43852800\"]\n  15 [size=\"65431552\", alpha=\"0.09\", expect_size=\"32715776\"] \n  15 -> 19 [size =\"32715776\"]\n  15 -> 23 [size =\"32715776\"]\n  16 [size=\"68454400\", alpha=\"0.01\", expect_size=\"34227200\"] \n  16 -> 18 [size =\"34227200\"]\n  16 -> 19 [size =\"34227200\"]\n  16 -> 20 [size =\"34227200\"]\n  16 -> 23 [size =\"34227200\"]\n  17 [size=\"76228608\", alpha=\"0.04\", expect_size=\"38114304\"] \n  17 -> 19 [size =\"38114304\"]\n  17 -> 20 [size =\"38114304\"]\n  17 -> 20 [size =\"38114304\"]\n  17 -> 23 [size =\"38114304\"]\n  18 [size=\"46274560\", alpha=\"0.02\", expect_size=\"23137280\"] \n  18 -> 24 [size =\"23137280\"]\n  18 -> 25 [size =\"23137280\"]\n  18 -> 27 [size =\"23137280\"]\n  19 [size=\"56580096\", alpha=\"0.01\", expect_size=\"28290048\"] \n  19 -> 25 [size =\"28290048\"]\n  19 -> 25 [size =\"28290048\"]\n  19 -> 27 [size =\"28290048\"]\n  19 -> 28 [size =\"28290048\"]\n  20 [size=\"22800384\", alpha=\"0.10\", expect_size=\"11400192\"] \n  20 -> 24 [size =\"11400192\"]\n  20 -> 25 [size =\"11400192\"]\n  20 -> 26 [size =\"11400192\"]\n  20 -> 27 [size =\"11400192\"]\n  20 -> 28 [size =\"11400192\"]\n  21 [size=\"71243776\", alpha=\"0.19\", expect_size=\"35621888\"] \n  21 -> 24 [size =\"35621888\"]\n  21 -> 27 [size =\"35621888\"]\n  21 -> 28 [size =\"35621888\"]\n  22 [size=\"10592256\", alpha=\"0.17\", expect_size=\"5296128\"] \n  22 -> 24 [size =\"5296128\"]\n  22 -> 25 [size =\"5296128\"]\n  22 -> 26 [size =\"5296128\"]\n  22 -> 29 [size =\"5296128\"]\n  23 [size=\"87568384\", alpha=\"0.08\", expect_size=\"43784192\"] \n  23 -> 24 [size =\"43784192\"]\n  23 -> 28 [size =\"43784192\"]\n  23 -> 29 [size =\"43784192\"]\n  24 [size=\"20070400\", alpha=\"0.20\", expect_size=\"10035200\"] \n  24 -> 31 [size =\"10035200\"]\n  24 -> 33 [size =\"10035200\"]\n  24 -> 34 [size =\"10035200\"]\n  25 [size=\"61190144\", alpha=\"0.12\", expect_size=\"30595072\"] \n  25 -> 31 [size =\"30595072\"]\n  25 -> 32 [size =\"30595072\"]\n  25 -> 34 [size =\"30595072\"]\n  25 -> 35 [size =\"30595072\"]\n  25 -> 36 [size =\"30595072\"]\n  26 [size=\"101570560\", alpha=\"0.19\", expect_size=\"50785280\"] \n  26 -> 30 [size =\"50785280\"]\n  26 -> 31 [size =\"50785280\"]\n  26 -> 34 [size =\"50785280\"]\n  27 [size=\"13893632\", alpha=\"0.10\", expect_size=\"6946816\"] \n  27 -> 30 [size =\"6946816\"]\n  27 -> 31 [size =\"6946816\"]\n  27 -> 33 [size =\"6946816\"]\n  28 [size=\"31426560\", alpha=\"0.00\", expect_size=\"15713280\"] \n  28 -> 33 [size =\"15713280\"]\n  28 -> 36 [size =\"15713280\"]\n  29 [size=\"39469056\", alpha=\"0.09\", expect_size=\"19734528\"] \n  29 -> 32 [size =\"19734528\"]\n  30 [size=\"44077056\", alpha=\"0.08\", expect_size=\"22038528\"] \n  30 -> 37 [size =\"22038528\"]\n  30 -> 39 [size =\"22038528\"]\n  30 -> 39 [size =\"22038528\"]\n  30 -> 40 [size =\"22038528\"]\n  31 [size=\"92495872\", alpha=\"0.16\", expect_size=\"46247936\"] \n  31 -> 37 [size =\"46247936\"]\n  31 -> 40 [size =\"46247936\"]\n  32 [size=\"88709120\", alpha=\"0.04\", expect_size=\"44354560\"] \n  32 -> 37 [size =\"44354560\"]\n  32 -> 38 [size =\"44354560\"]\n  32 -> 39 [size =\"44354560\"]\n  33 [size=\"72640512\", alpha=\"0.09\", expect_size=\"36320256\"] \n  33 -> 37 [size =\"36320256\"]\n  33 -> 38 [size =\"36320256\"]\n  33 -> 39 [size =\"36320256\"]\n  33 -> 40 [size =\"36320256\"]\n  34 [size=\"15642624\", alpha=\"0.09\", expect_size=\"7821312\"] \n  34 -> 37 [size =\"7821312\"]\n  34 -> 38 [size =\"7821312\"]\n  34 -> 40 [size =\"7821312\"]\n  35 [size=\"15577088\", alpha=\"0.02\", expect_size=\"7788544\"] \n  35 -> 37 [size =\"7788544\"]\n  35 -> 38 [size =\"7788544\"]\n  36 [size=\"71757824\", alpha=\"0.07\", expect_size=\"35878912\"] \n  36 -> 37 [size =\"35878912\"]\n  36 -> 38 [size =\"35878912\"]\n  36 -> 39 [size =\"35878912\"]\n  37 [size=\"67645440\", alpha=\"0.06\", expect_size=\"33822720\"] \n  38 [size=\"18434048\", alpha=\"0.12\", expect_size=\"9217024\"] \n  39 [size=\"20418560\", alpha=\"0.08\", expect_size=\"10209280\"] \n  40 [size=\"62525440\", alpha=\"0.07\", expect_size=\"31262720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126702080\", alpha=\"0.03\", expect_size=\"50680832\"] \n  1 -> 7 [size =\"50680832\"]\n  1 -> 8 [size =\"50680832\"]\n  1 -> 9 [size =\"50680832\"]\n  2 [size=\"117406720\", alpha=\"0.09\", expect_size=\"46962688\"] \n  3 [size=\"21396480\", alpha=\"0.19\", expect_size=\"8558592\"] \n  3 -> 7 [size =\"8558592\"]\n  4 [size=\"88020480\", alpha=\"0.18\", expect_size=\"35208192\"] \n  4 -> 7 [size =\"35208192\"]\n  4 -> 10 [size =\"35208192\"]\n  5 [size=\"51980800\", alpha=\"0.01\", expect_size=\"20792320\"] \n  5 -> 7 [size =\"20792320\"]\n  5 -> 9 [size =\"20792320\"]\n  6 [size=\"42416640\", alpha=\"0.12\", expect_size=\"16966656\"] \n  6 -> 7 [size =\"16966656\"]\n  7 [size=\"129392640\", alpha=\"0.10\", expect_size=\"51757056\"] \n  7 -> 11 [size =\"51757056\"]\n  7 -> 12 [size =\"51757056\"]\n  7 -> 13 [size =\"51757056\"]\n  7 -> 16 [size =\"51757056\"]\n  8 [size=\"122718720\", alpha=\"0.02\", expect_size=\"49087488\"] \n  8 -> 11 [size =\"49087488\"]\n  8 -> 12 [size =\"49087488\"]\n  8 -> 13 [size =\"49087488\"]\n  8 -> 15 [size =\"49087488\"]\n  9 [size=\"27087360\", alpha=\"0.10\", expect_size=\"10834944\"] \n  9 -> 11 [size =\"10834944\"]\n  9 -> 12 [size =\"10834944\"]\n  9 -> 13 [size =\"10834944\"]\n  9 -> 14 [size =\"10834944\"]\n  9 -> 16 [size =\"10834944\"]\n  10 [size=\"42211840\", alpha=\"0.20\", expect_size=\"16884736\"] \n  10 -> 12 [size =\"16884736\"]\n  10 -> 13 [size =\"16884736\"]\n  11 [size=\"113630720\", alpha=\"0.02\", expect_size=\"45452288\"] \n  11 -> 18 [size =\"45452288\"]\n  11 -> 18 [size =\"45452288\"]\n  11 -> 19 [size =\"45452288\"]\n  12 [size=\"15948800\", alpha=\"0.09\", expect_size=\"6379520\"] \n  12 -> 17 [size =\"6379520\"]\n  12 -> 18 [size =\"6379520\"]\n  12 -> 19 [size =\"6379520\"]\n  13 [size=\"69519360\", alpha=\"0.07\", expect_size=\"27807744\"] \n  13 -> 17 [size =\"27807744\"]\n  13 -> 20 [size =\"27807744\"]\n  14 [size=\"61690880\", alpha=\"0.20\", expect_size=\"24676352\"] \n  14 -> 17 [size =\"24676352\"]\n  14 -> 18 [size =\"24676352\"]\n  14 -> 20 [size =\"24676352\"]\n  15 [size=\"48079360\", alpha=\"0.04\", expect_size=\"19231744\"] \n  15 -> 18 [size =\"19231744\"]\n  16 [size=\"52444160\", alpha=\"0.08\", expect_size=\"20977664\"] \n  16 -> 17 [size =\"20977664\"]\n  16 -> 18 [size =\"20977664\"]\n  16 -> 19 [size =\"20977664\"]\n  16 -> 20 [size =\"20977664\"]\n  16 -> 21 [size =\"20977664\"]\n  17 [size=\"122329600\", alpha=\"0.19\", expect_size=\"48931840\"] \n  17 -> 23 [size =\"48931840\"]\n  18 [size=\"62274560\", alpha=\"0.16\", expect_size=\"24909824\"] \n  18 -> 23 [size =\"24909824\"]\n  19 [size=\"74296320\", alpha=\"0.06\", expect_size=\"29718528\"] \n  19 -> 22 [size =\"29718528\"]\n  19 -> 23 [size =\"29718528\"]\n  20 [size=\"130621440\", alpha=\"0.14\", expect_size=\"52248576\"] \n  20 -> 22 [size =\"52248576\"]\n  20 -> 23 [size =\"52248576\"]\n  20 -> 24 [size =\"52248576\"]\n  21 [size=\"128517120\", alpha=\"0.01\", expect_size=\"51406848\"] \n  21 -> 22 [size =\"51406848\"]\n  21 -> 23 [size =\"51406848\"]\n  21 -> 24 [size =\"51406848\"]\n  22 [size=\"19594240\", alpha=\"0.06\", expect_size=\"7837696\"] \n  22 -> 26 [size =\"7837696\"]\n  22 -> 28 [size =\"7837696\"]\n  22 -> 29 [size =\"7837696\"]\n  22 -> 30 [size =\"7837696\"]\n  22 -> 31 [size =\"7837696\"]\n  23 [size=\"70446080\", alpha=\"0.12\", expect_size=\"28178432\"] \n  23 -> 25 [size =\"28178432\"]\n  23 -> 26 [size =\"28178432\"]\n  23 -> 27 [size =\"28178432\"]\n  23 -> 29 [size =\"28178432\"]\n  24 [size=\"112586240\", alpha=\"0.11\", expect_size=\"45034496\"] \n  24 -> 25 [size =\"45034496\"]\n  24 -> 26 [size =\"45034496\"]\n  24 -> 27 [size =\"45034496\"]\n  24 -> 28 [size =\"45034496\"]\n  24 -> 29 [size =\"45034496\"]\n  24 -> 30 [size =\"45034496\"]\n  24 -> 31 [size =\"45034496\"]\n  24 -> 32 [size =\"45034496\"]\n  25 [size=\"110799360\", alpha=\"0.16\", expect_size=\"44319744\"] \n  25 -> 33 [size =\"44319744\"]\n  25 -> 35 [size =\"44319744\"]\n  25 -> 36 [size =\"44319744\"]\n  25 -> 38 [size =\"44319744\"]\n  26 [size=\"16778240\", alpha=\"0.07\", expect_size=\"6711296\"] \n  26 -> 33 [size =\"6711296\"]\n  26 -> 36 [size =\"6711296\"]\n  27 [size=\"64371200\", alpha=\"0.17\", expect_size=\"25748480\"] \n  27 -> 33 [size =\"25748480\"]\n  27 -> 34 [size =\"25748480\"]\n  28 [size=\"56921600\", alpha=\"0.06\", expect_size=\"22768640\"] \n  28 -> 33 [size =\"22768640\"]\n  28 -> 37 [size =\"22768640\"]\n  28 -> 38 [size =\"22768640\"]\n  29 [size=\"33397760\", alpha=\"0.17\", expect_size=\"13359104\"] \n  29 -> 33 [size =\"13359104\"]\n  29 -> 35 [size =\"13359104\"]\n  29 -> 36 [size =\"13359104\"]\n  29 -> 37 [size =\"13359104\"]\n  30 [size=\"66677760\", alpha=\"0.13\", expect_size=\"26671104\"] \n  30 -> 33 [size =\"26671104\"]\n  30 -> 35 [size =\"26671104\"]\n  30 -> 36 [size =\"26671104\"]\n  30 -> 37 [size =\"26671104\"]\n  31 [size=\"28544000\", alpha=\"0.06\", expect_size=\"11417600\"] \n  31 -> 33 [size =\"11417600\"]\n  31 -> 34 [size =\"11417600\"]\n  31 -> 36 [size =\"11417600\"]\n  31 -> 38 [size =\"11417600\"]\n  32 [size=\"32599040\", alpha=\"0.20\", expect_size=\"13039616\"] \n  32 -> 34 [size =\"13039616\"]\n  32 -> 36 [size =\"13039616\"]\n  32 -> 38 [size =\"13039616\"]\n  32 -> 38 [size =\"13039616\"]\n  33 [size=\"65177600\", alpha=\"0.03\", expect_size=\"26071040\"] \n  33 -> 40 [size =\"26071040\"]\n  34 [size=\"16601600\", alpha=\"0.14\", expect_size=\"6640640\"] \n  35 [size=\"79754240\", alpha=\"0.12\", expect_size=\"31901696\"] \n  35 -> 39 [size =\"31901696\"]\n  35 -> 40 [size =\"31901696\"]\n  36 [size=\"57576960\", alpha=\"0.16\", expect_size=\"23030784\"] \n  37 [size=\"97349120\", alpha=\"0.18\", expect_size=\"38939648\"] \n  38 [size=\"79424000\", alpha=\"0.09\", expect_size=\"31769600\"] \n  38 -> 40 [size =\"31769600\"]\n  39 [size=\"113415680\", alpha=\"0.11\", expect_size=\"45366272\"] \n  40 [size=\"95344640\", alpha=\"0.12\", expect_size=\"38137856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131345067\", alpha=\"0.10\", expect_size=\"39403520\"] \n  1 -> 23 [size =\"39403520\"]\n  1 -> 25 [size =\"39403520\"]\n  1 -> 26 [size =\"39403520\"]\n  1 -> 30 [size =\"39403520\"]\n  1 -> 31 [size =\"39403520\"]\n  1 -> 32 [size =\"39403520\"]\n  1 -> 34 [size =\"39403520\"]\n  1 -> 35 [size =\"39403520\"]\n  1 -> 37 [size =\"39403520\"]\n  1 -> 38 [size =\"39403520\"]\n  1 -> 39 [size =\"39403520\"]\n  2 [size=\"73441280\", alpha=\"0.14\", expect_size=\"22032384\"] \n  2 -> 29 [size =\"22032384\"]\n  2 -> 31 [size =\"22032384\"]\n  2 -> 32 [size =\"22032384\"]\n  2 -> 33 [size =\"22032384\"]\n  2 -> 34 [size =\"22032384\"]\n  2 -> 35 [size =\"22032384\"]\n  2 -> 37 [size =\"22032384\"]\n  2 -> 38 [size =\"22032384\"]\n  3 [size=\"107936427\", alpha=\"0.14\", expect_size=\"32380928\"] \n  3 -> 27 [size =\"32380928\"]\n  3 -> 28 [size =\"32380928\"]\n  3 -> 31 [size =\"32380928\"]\n  3 -> 32 [size =\"32380928\"]\n  3 -> 33 [size =\"32380928\"]\n  3 -> 34 [size =\"32380928\"]\n  3 -> 35 [size =\"32380928\"]\n  4 [size=\"50397867\", alpha=\"0.01\", expect_size=\"15119360\"] \n  4 -> 25 [size =\"15119360\"]\n  4 -> 29 [size =\"15119360\"]\n  4 -> 32 [size =\"15119360\"]\n  4 -> 32 [size =\"15119360\"]\n  4 -> 33 [size =\"15119360\"]\n  4 -> 34 [size =\"15119360\"]\n  4 -> 35 [size =\"15119360\"]\n  4 -> 37 [size =\"15119360\"]\n  4 -> 38 [size =\"15119360\"]\n  5 [size=\"104775680\", alpha=\"0.16\", expect_size=\"31432704\"] \n  5 -> 28 [size =\"31432704\"]\n  5 -> 29 [size =\"31432704\"]\n  5 -> 32 [size =\"31432704\"]\n  5 -> 34 [size =\"31432704\"]\n  5 -> 36 [size =\"31432704\"]\n  5 -> 37 [size =\"31432704\"]\n  5 -> 38 [size =\"31432704\"]\n  5 -> 39 [size =\"31432704\"]\n  6 [size=\"43489280\", alpha=\"0.04\", expect_size=\"13046784\"] \n  6 -> 24 [size =\"13046784\"]\n  6 -> 27 [size =\"13046784\"]\n  6 -> 28 [size =\"13046784\"]\n  6 -> 29 [size =\"13046784\"]\n  6 -> 31 [size =\"13046784\"]\n  6 -> 33 [size =\"13046784\"]\n  6 -> 34 [size =\"13046784\"]\n  6 -> 35 [size =\"13046784\"]\n  6 -> 36 [size =\"13046784\"]\n  6 -> 37 [size =\"13046784\"]\n  6 -> 39 [size =\"13046784\"]\n  6 -> 40 [size =\"13046784\"]\n  7 [size=\"171042133\", alpha=\"0.19\", expect_size=\"51312640\"] \n  7 -> 27 [size =\"51312640\"]\n  7 -> 28 [size =\"51312640\"]\n  7 -> 28 [size =\"51312640\"]\n  7 -> 29 [size =\"51312640\"]\n  7 -> 31 [size =\"51312640\"]\n  7 -> 32 [size =\"51312640\"]\n  7 -> 33 [size =\"51312640\"]\n  7 -> 34 [size =\"51312640\"]\n  7 -> 35 [size =\"51312640\"]\n  7 -> 39 [size =\"51312640\"]\n  8 [size=\"95040853\", alpha=\"0.01\", expect_size=\"28512256\"] \n  8 -> 23 [size =\"28512256\"]\n  8 -> 28 [size =\"28512256\"]\n  8 -> 29 [size =\"28512256\"]\n  8 -> 29 [size =\"28512256\"]\n  8 -> 31 [size =\"28512256\"]\n  8 -> 32 [size =\"28512256\"]\n  8 -> 36 [size =\"28512256\"]\n  9 [size=\"160317440\", alpha=\"0.04\", expect_size=\"48095232\"] \n  9 -> 25 [size =\"48095232\"]\n  9 -> 27 [size =\"48095232\"]\n  9 -> 28 [size =\"48095232\"]\n  9 -> 29 [size =\"48095232\"]\n  9 -> 31 [size =\"48095232\"]\n  9 -> 33 [size =\"48095232\"]\n  9 -> 37 [size =\"48095232\"]\n  9 -> 38 [size =\"48095232\"]\n  9 -> 40 [size =\"48095232\"]\n  10 [size=\"105594880\", alpha=\"0.10\", expect_size=\"31678464\"] \n  10 -> 24 [size =\"31678464\"]\n  10 -> 25 [size =\"31678464\"]\n  10 -> 27 [size =\"31678464\"]\n  10 -> 29 [size =\"31678464\"]\n  10 -> 30 [size =\"31678464\"]\n  10 -> 31 [size =\"31678464\"]\n  10 -> 33 [size =\"31678464\"]\n  10 -> 34 [size =\"31678464\"]\n  10 -> 35 [size =\"31678464\"]\n  10 -> 36 [size =\"31678464\"]\n  10 -> 37 [size =\"31678464\"]\n  10 -> 40 [size =\"31678464\"]\n  11 [size=\"29484373\", alpha=\"0.11\", expect_size=\"8845312\"] \n  11 -> 23 [size =\"8845312\"]\n  11 -> 24 [size =\"8845312\"]\n  11 -> 27 [size =\"8845312\"]\n  11 -> 29 [size =\"8845312\"]\n  11 -> 30 [size =\"8845312\"]\n  11 -> 31 [size =\"8845312\"]\n  11 -> 32 [size =\"8845312\"]\n  11 -> 33 [size =\"8845312\"]\n  11 -> 35 [size =\"8845312\"]\n  11 -> 36 [size =\"8845312\"]\n  11 -> 37 [size =\"8845312\"]\n  11 -> 40 [size =\"8845312\"]\n  12 [size=\"107663360\", alpha=\"0.15\", expect_size=\"32299008\"] \n  12 -> 24 [size =\"32299008\"]\n  12 -> 24 [size =\"32299008\"]\n  12 -> 27 [size =\"32299008\"]\n  12 -> 28 [size =\"32299008\"]\n  12 -> 29 [size =\"32299008\"]\n  12 -> 31 [size =\"32299008\"]\n  12 -> 32 [size =\"32299008\"]\n  12 -> 33 [size =\"32299008\"]\n  12 -> 35 [size =\"32299008\"]\n  12 -> 36 [size =\"32299008\"]\n  12 -> 37 [size =\"32299008\"]\n  12 -> 40 [size =\"32299008\"]\n  13 [size=\"59921067\", alpha=\"0.10\", expect_size=\"17976320\"] \n  13 -> 25 [size =\"17976320\"]\n  13 -> 26 [size =\"17976320\"]\n  13 -> 27 [size =\"17976320\"]\n  13 -> 29 [size =\"17976320\"]\n  13 -> 29 [size =\"17976320\"]\n  13 -> 31 [size =\"17976320\"]\n  13 -> 33 [size =\"17976320\"]\n  13 -> 33 [size =\"17976320\"]\n  13 -> 37 [size =\"17976320\"]\n  13 -> 39 [size =\"17976320\"]\n  14 [size=\"168785920\", alpha=\"0.14\", expect_size=\"50635776\"] \n  14 -> 24 [size =\"50635776\"]\n  14 -> 27 [size =\"50635776\"]\n  14 -> 27 [size =\"50635776\"]\n  14 -> 28 [size =\"50635776\"]\n  14 -> 29 [size =\"50635776\"]\n  14 -> 31 [size =\"50635776\"]\n  14 -> 33 [size =\"50635776\"]\n  14 -> 35 [size =\"50635776\"]\n  14 -> 37 [size =\"50635776\"]\n  14 -> 39 [size =\"50635776\"]\n  14 -> 40 [size =\"50635776\"]\n  15 [size=\"20817920\", alpha=\"0.01\", expect_size=\"6245376\"] \n  15 -> 27 [size =\"6245376\"]\n  15 -> 27 [size =\"6245376\"]\n  15 -> 29 [size =\"6245376\"]\n  15 -> 31 [size =\"6245376\"]\n  15 -> 32 [size =\"6245376\"]\n  15 -> 33 [size =\"6245376\"]\n  15 -> 35 [size =\"6245376\"]\n  15 -> 37 [size =\"6245376\"]\n  15 -> 37 [size =\"6245376\"]\n  15 -> 38 [size =\"6245376\"]\n  15 -> 40 [size =\"6245376\"]\n  16 [size=\"146469547\", alpha=\"0.11\", expect_size=\"43940864\"] \n  16 -> 25 [size =\"43940864\"]\n  16 -> 27 [size =\"43940864\"]\n  16 -> 28 [size =\"43940864\"]\n  16 -> 29 [size =\"43940864\"]\n  16 -> 31 [size =\"43940864\"]\n  16 -> 32 [size =\"43940864\"]\n  16 -> 33 [size =\"43940864\"]\n  16 -> 34 [size =\"43940864\"]\n  16 -> 36 [size =\"43940864\"]\n  16 -> 37 [size =\"43940864\"]\n  16 -> 38 [size =\"43940864\"]\n  16 -> 40 [size =\"43940864\"]\n  17 [size=\"22350507\", alpha=\"0.08\", expect_size=\"6705152\"] \n  17 -> 24 [size =\"6705152\"]\n  17 -> 25 [size =\"6705152\"]\n  17 -> 27 [size =\"6705152\"]\n  17 -> 28 [size =\"6705152\"]\n  17 -> 31 [size =\"6705152\"]\n  17 -> 32 [size =\"6705152\"]\n  17 -> 34 [size =\"6705152\"]\n  17 -> 35 [size =\"6705152\"]\n  17 -> 36 [size =\"6705152\"]\n  17 -> 37 [size =\"6705152\"]\n  17 -> 38 [size =\"6705152\"]\n  18 [size=\"171124053\", alpha=\"0.11\", expect_size=\"51337216\"] \n  18 -> 24 [size =\"51337216\"]\n  18 -> 28 [size =\"51337216\"]\n  18 -> 31 [size =\"51337216\"]\n  18 -> 33 [size =\"51337216\"]\n  18 -> 34 [size =\"51337216\"]\n  18 -> 35 [size =\"51337216\"]\n  18 -> 36 [size =\"51337216\"]\n  18 -> 37 [size =\"51337216\"]\n  18 -> 38 [size =\"51337216\"]\n  18 -> 40 [size =\"51337216\"]\n  19 [size=\"22507520\", alpha=\"0.09\", expect_size=\"6752256\"] \n  19 -> 25 [size =\"6752256\"]\n  19 -> 26 [size =\"6752256\"]\n  19 -> 28 [size =\"6752256\"]\n  19 -> 29 [size =\"6752256\"]\n  19 -> 32 [size =\"6752256\"]\n  19 -> 33 [size =\"6752256\"]\n  19 -> 34 [size =\"6752256\"]\n  19 -> 35 [size =\"6752256\"]\n  19 -> 36 [size =\"6752256\"]\n  19 -> 37 [size =\"6752256\"]\n  19 -> 38 [size =\"6752256\"]\n  19 -> 40 [size =\"6752256\"]\n  20 [size=\"50981547\", alpha=\"0.01\", expect_size=\"15294464\"] \n  20 -> 25 [size =\"15294464\"]\n  20 -> 26 [size =\"15294464\"]\n  20 -> 27 [size =\"15294464\"]\n  20 -> 28 [size =\"15294464\"]\n  20 -> 29 [size =\"15294464\"]\n  20 -> 31 [size =\"15294464\"]\n  20 -> 33 [size =\"15294464\"]\n  20 -> 34 [size =\"15294464\"]\n  20 -> 35 [size =\"15294464\"]\n  20 -> 36 [size =\"15294464\"]\n  20 -> 37 [size =\"15294464\"]\n  20 -> 38 [size =\"15294464\"]\n  20 -> 40 [size =\"15294464\"]\n  21 [size=\"131184640\", alpha=\"0.08\", expect_size=\"39355392\"] \n  21 -> 27 [size =\"39355392\"]\n  21 -> 28 [size =\"39355392\"]\n  21 -> 31 [size =\"39355392\"]\n  21 -> 32 [size =\"39355392\"]\n  21 -> 33 [size =\"39355392\"]\n  21 -> 34 [size =\"39355392\"]\n  21 -> 35 [size =\"39355392\"]\n  21 -> 36 [size =\"39355392\"]\n  21 -> 37 [size =\"39355392\"]\n  21 -> 38 [size =\"39355392\"]\n  21 -> 40 [size =\"39355392\"]\n  22 [size=\"56804693\", alpha=\"0.02\", expect_size=\"17041408\"] \n  22 -> 25 [size =\"17041408\"]\n  22 -> 27 [size =\"17041408\"]\n  22 -> 28 [size =\"17041408\"]\n  22 -> 31 [size =\"17041408\"]\n  22 -> 32 [size =\"17041408\"]\n  22 -> 33 [size =\"17041408\"]\n  22 -> 34 [size =\"17041408\"]\n  22 -> 35 [size =\"17041408\"]\n  22 -> 36 [size =\"17041408\"]\n  22 -> 38 [size =\"17041408\"]\n  23 [size=\"18343253\", alpha=\"0.07\", expect_size=\"5502976\"] \n  24 [size=\"100331520\", alpha=\"0.16\", expect_size=\"30099456\"] \n  25 [size=\"50100907\", alpha=\"0.17\", expect_size=\"15030272\"] \n  26 [size=\"54637227\", alpha=\"0.00\", expect_size=\"16391168\"] \n  27 [size=\"140557653\", alpha=\"0.04\", expect_size=\"42167296\"] \n  28 [size=\"42540373\", alpha=\"0.17\", expect_size=\"12762112\"] \n  29 [size=\"127662080\", alpha=\"0.08\", expect_size=\"38298624\"] \n  30 [size=\"44468907\", alpha=\"0.10\", expect_size=\"13340672\"] \n  31 [size=\"55982080\", alpha=\"0.14\", expect_size=\"16794624\"] \n  32 [size=\"118787413\", alpha=\"0.10\", expect_size=\"35636224\"] \n  33 [size=\"131563520\", alpha=\"0.11\", expect_size=\"39469056\"] \n  34 [size=\"27487573\", alpha=\"0.11\", expect_size=\"8246272\"] \n  35 [size=\"154053973\", alpha=\"0.12\", expect_size=\"46216192\"] \n  36 [size=\"126706347\", alpha=\"0.08\", expect_size=\"38011904\"] \n  37 [size=\"128750933\", alpha=\"0.06\", expect_size=\"38625280\"] \n  38 [size=\"156467200\", alpha=\"0.03\", expect_size=\"46940160\"] \n  39 [size=\"130133333\", alpha=\"0.01\", expect_size=\"39040000\"] \n  40 [size=\"35310933\", alpha=\"0.03\", expect_size=\"10593280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92633088\", alpha=\"0.09\", expect_size=\"46316544\"] \n  1 -> 12 [size =\"46316544\"]\n  1 -> 15 [size =\"46316544\"]\n  1 -> 20 [size =\"46316544\"]\n  1 -> 22 [size =\"46316544\"]\n  1 -> 23 [size =\"46316544\"]\n  2 [size=\"85309440\", alpha=\"0.09\", expect_size=\"42654720\"] \n  2 -> 11 [size =\"42654720\"]\n  2 -> 13 [size =\"42654720\"]\n  2 -> 15 [size =\"42654720\"]\n  2 -> 20 [size =\"42654720\"]\n  3 [size=\"78297088\", alpha=\"0.19\", expect_size=\"39148544\"] \n  3 -> 10 [size =\"39148544\"]\n  3 -> 12 [size =\"39148544\"]\n  3 -> 15 [size =\"39148544\"]\n  3 -> 17 [size =\"39148544\"]\n  3 -> 18 [size =\"39148544\"]\n  3 -> 23 [size =\"39148544\"]\n  4 [size=\"26681344\", alpha=\"0.15\", expect_size=\"13340672\"] \n  4 -> 12 [size =\"13340672\"]\n  4 -> 16 [size =\"13340672\"]\n  4 -> 17 [size =\"13340672\"]\n  4 -> 18 [size =\"13340672\"]\n  4 -> 19 [size =\"13340672\"]\n  4 -> 21 [size =\"13340672\"]\n  4 -> 22 [size =\"13340672\"]\n  5 [size=\"26755072\", alpha=\"0.18\", expect_size=\"13377536\"] \n  5 -> 12 [size =\"13377536\"]\n  5 -> 13 [size =\"13377536\"]\n  5 -> 14 [size =\"13377536\"]\n  5 -> 16 [size =\"13377536\"]\n  5 -> 17 [size =\"13377536\"]\n  5 -> 18 [size =\"13377536\"]\n  5 -> 19 [size =\"13377536\"]\n  5 -> 22 [size =\"13377536\"]\n  6 [size=\"14886912\", alpha=\"0.09\", expect_size=\"7443456\"] \n  6 -> 11 [size =\"7443456\"]\n  6 -> 13 [size =\"7443456\"]\n  6 -> 14 [size =\"7443456\"]\n  6 -> 16 [size =\"7443456\"]\n  6 -> 17 [size =\"7443456\"]\n  6 -> 18 [size =\"7443456\"]\n  6 -> 19 [size =\"7443456\"]\n  6 -> 24 [size =\"7443456\"]\n  7 [size=\"92174336\", alpha=\"0.03\", expect_size=\"46087168\"] \n  7 -> 10 [size =\"46087168\"]\n  7 -> 11 [size =\"46087168\"]\n  7 -> 13 [size =\"46087168\"]\n  7 -> 14 [size =\"46087168\"]\n  7 -> 16 [size =\"46087168\"]\n  7 -> 17 [size =\"46087168\"]\n  7 -> 18 [size =\"46087168\"]\n  7 -> 19 [size =\"46087168\"]\n  7 -> 20 [size =\"46087168\"]\n  7 -> 21 [size =\"46087168\"]\n  7 -> 23 [size =\"46087168\"]\n  8 [size=\"60518400\", alpha=\"0.17\", expect_size=\"30259200\"] \n  8 -> 11 [size =\"30259200\"]\n  8 -> 14 [size =\"30259200\"]\n  8 -> 15 [size =\"30259200\"]\n  8 -> 20 [size =\"30259200\"]\n  8 -> 23 [size =\"30259200\"]\n  9 [size=\"46835712\", alpha=\"0.07\", expect_size=\"23417856\"] \n  9 -> 12 [size =\"23417856\"]\n  9 -> 14 [size =\"23417856\"]\n  9 -> 15 [size =\"23417856\"]\n  9 -> 19 [size =\"23417856\"]\n  9 -> 20 [size =\"23417856\"]\n  9 -> 23 [size =\"23417856\"]\n  10 [size=\"51427328\", alpha=\"0.14\", expect_size=\"25713664\"] \n  10 -> 25 [size =\"25713664\"]\n  11 [size=\"19421184\", alpha=\"0.10\", expect_size=\"9710592\"] \n  11 -> 25 [size =\"9710592\"]\n  11 -> 27 [size =\"9710592\"]\n  11 -> 29 [size =\"9710592\"]\n  12 [size=\"62306304\", alpha=\"0.04\", expect_size=\"31153152\"] \n  12 -> 25 [size =\"31153152\"]\n  12 -> 29 [size =\"31153152\"]\n  12 -> 29 [size =\"31153152\"]\n  12 -> 32 [size =\"31153152\"]\n  12 -> 34 [size =\"31153152\"]\n  12 -> 35 [size =\"31153152\"]\n  13 [size=\"103813120\", alpha=\"0.14\", expect_size=\"51906560\"] \n  13 -> 25 [size =\"51906560\"]\n  13 -> 26 [size =\"51906560\"]\n  13 -> 28 [size =\"51906560\"]\n  13 -> 29 [size =\"51906560\"]\n  14 [size=\"100745216\", alpha=\"0.15\", expect_size=\"50372608\"] \n  14 -> 26 [size =\"50372608\"]\n  15 [size=\"79409152\", alpha=\"0.19\", expect_size=\"39704576\"] \n  15 -> 26 [size =\"39704576\"]\n  15 -> 27 [size =\"39704576\"]\n  15 -> 28 [size =\"39704576\"]\n  15 -> 29 [size =\"39704576\"]\n  15 -> 31 [size =\"39704576\"]\n  15 -> 32 [size =\"39704576\"]\n  15 -> 33 [size =\"39704576\"]\n  16 [size=\"71063552\", alpha=\"0.02\", expect_size=\"35531776\"] \n  16 -> 26 [size =\"35531776\"]\n  16 -> 28 [size =\"35531776\"]\n  16 -> 28 [size =\"35531776\"]\n  16 -> 29 [size =\"35531776\"]\n  16 -> 32 [size =\"35531776\"]\n  16 -> 33 [size =\"35531776\"]\n  16 -> 34 [size =\"35531776\"]\n  16 -> 35 [size =\"35531776\"]\n  17 [size=\"18997248\", alpha=\"0.07\", expect_size=\"9498624\"] \n  17 -> 26 [size =\"9498624\"]\n  17 -> 28 [size =\"9498624\"]\n  17 -> 29 [size =\"9498624\"]\n  17 -> 33 [size =\"9498624\"]\n  17 -> 34 [size =\"9498624\"]\n  17 -> 35 [size =\"9498624\"]\n  18 [size=\"31705088\", alpha=\"0.04\", expect_size=\"15852544\"] \n  18 -> 26 [size =\"15852544\"]\n  18 -> 33 [size =\"15852544\"]\n  19 [size=\"16058368\", alpha=\"0.18\", expect_size=\"8029184\"] \n  19 -> 29 [size =\"8029184\"]\n  19 -> 32 [size =\"8029184\"]\n  19 -> 33 [size =\"8029184\"]\n  19 -> 34 [size =\"8029184\"]\n  19 -> 35 [size =\"8029184\"]\n  20 [size=\"49111040\", alpha=\"0.09\", expect_size=\"24555520\"] \n  20 -> 26 [size =\"24555520\"]\n  20 -> 27 [size =\"24555520\"]\n  20 -> 28 [size =\"24555520\"]\n  20 -> 32 [size =\"24555520\"]\n  20 -> 34 [size =\"24555520\"]\n  20 -> 35 [size =\"24555520\"]\n  21 [size=\"19181568\", alpha=\"0.18\", expect_size=\"9590784\"] \n  21 -> 25 [size =\"9590784\"]\n  21 -> 26 [size =\"9590784\"]\n  21 -> 27 [size =\"9590784\"]\n  21 -> 29 [size =\"9590784\"]\n  21 -> 30 [size =\"9590784\"]\n  21 -> 32 [size =\"9590784\"]\n  21 -> 34 [size =\"9590784\"]\n  21 -> 35 [size =\"9590784\"]\n  22 [size=\"64897024\", alpha=\"0.02\", expect_size=\"32448512\"] \n  22 -> 25 [size =\"32448512\"]\n  22 -> 27 [size =\"32448512\"]\n  22 -> 31 [size =\"32448512\"]\n  22 -> 32 [size =\"32448512\"]\n  22 -> 35 [size =\"32448512\"]\n  23 [size=\"81475584\", alpha=\"0.01\", expect_size=\"40737792\"] \n  23 -> 25 [size =\"40737792\"]\n  23 -> 29 [size =\"40737792\"]\n  23 -> 32 [size =\"40737792\"]\n  23 -> 32 [size =\"40737792\"]\n  23 -> 34 [size =\"40737792\"]\n  24 [size=\"54591488\", alpha=\"0.03\", expect_size=\"27295744\"] \n  24 -> 25 [size =\"27295744\"]\n  24 -> 27 [size =\"27295744\"]\n  24 -> 29 [size =\"27295744\"]\n  24 -> 30 [size =\"27295744\"]\n  24 -> 32 [size =\"27295744\"]\n  24 -> 34 [size =\"27295744\"]\n  25 [size=\"32057344\", alpha=\"0.09\", expect_size=\"16028672\"] \n  26 [size=\"28735488\", alpha=\"0.15\", expect_size=\"14367744\"] \n  26 -> 38 [size =\"14367744\"]\n  27 [size=\"37957632\", alpha=\"0.19\", expect_size=\"18978816\"] \n  27 -> 36 [size =\"18978816\"]\n  27 -> 37 [size =\"18978816\"]\n  27 -> 38 [size =\"18978816\"]\n  28 [size=\"70766592\", alpha=\"0.14\", expect_size=\"35383296\"] \n  28 -> 37 [size =\"35383296\"]\n  28 -> 37 [size =\"35383296\"]\n  28 -> 39 [size =\"35383296\"]\n  29 [size=\"88985600\", alpha=\"0.16\", expect_size=\"44492800\"] \n  29 -> 38 [size =\"44492800\"]\n  30 [size=\"79785984\", alpha=\"0.07\", expect_size=\"39892992\"] \n  30 -> 37 [size =\"39892992\"]\n  30 -> 38 [size =\"39892992\"]\n  31 [size=\"28708864\", alpha=\"0.19\", expect_size=\"14354432\"] \n  31 -> 37 [size =\"14354432\"]\n  31 -> 38 [size =\"14354432\"]\n  32 [size=\"17901568\", alpha=\"0.03\", expect_size=\"8950784\"] \n  32 -> 37 [size =\"8950784\"]\n  33 [size=\"27817984\", alpha=\"0.07\", expect_size=\"13908992\"] \n  33 -> 36 [size =\"13908992\"]\n  33 -> 39 [size =\"13908992\"]\n  34 [size=\"31897600\", alpha=\"0.09\", expect_size=\"15948800\"] \n  35 [size=\"46338048\", alpha=\"0.07\", expect_size=\"23169024\"] \n  35 -> 38 [size =\"23169024\"]\n  35 -> 40 [size =\"23169024\"]\n  36 [size=\"87410688\", alpha=\"0.17\", expect_size=\"43705344\"] \n  37 [size=\"65140736\", alpha=\"0.09\", expect_size=\"32570368\"] \n  38 [size=\"61222912\", alpha=\"0.05\", expect_size=\"30611456\"] \n  39 [size=\"31311872\", alpha=\"0.03\", expect_size=\"15655936\"] \n  40 [size=\"11763712\", alpha=\"0.08\", expect_size=\"5881856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94021120\", alpha=\"0.14\", expect_size=\"37608448\"] \n  1 -> 4 [size =\"37608448\"]\n  2 [size=\"47247360\", alpha=\"0.05\", expect_size=\"18898944\"] \n  2 -> 5 [size =\"18898944\"]\n  3 [size=\"77573120\", alpha=\"0.20\", expect_size=\"31029248\"] \n  3 -> 4 [size =\"31029248\"]\n  4 [size=\"22722560\", alpha=\"0.15\", expect_size=\"9089024\"] \n  4 -> 6 [size =\"9089024\"]\n  4 -> 7 [size =\"9089024\"]\n  5 [size=\"37913600\", alpha=\"0.06\", expect_size=\"15165440\"] \n  6 [size=\"79656960\", alpha=\"0.10\", expect_size=\"31862784\"] \n  6 -> 8 [size =\"31862784\"]\n  7 [size=\"130839040\", alpha=\"0.14\", expect_size=\"52335616\"] \n  7 -> 9 [size =\"52335616\"]\n  7 -> 10 [size =\"52335616\"]\n  8 [size=\"99965440\", alpha=\"0.12\", expect_size=\"39986176\"] \n  8 -> 11 [size =\"39986176\"]\n  8 -> 12 [size =\"39986176\"]\n  9 [size=\"16934400\", alpha=\"0.16\", expect_size=\"6773760\"] \n  9 -> 12 [size =\"6773760\"]\n  10 [size=\"117890560\", alpha=\"0.02\", expect_size=\"47156224\"] \n  10 -> 11 [size =\"47156224\"]\n  11 [size=\"61294080\", alpha=\"0.02\", expect_size=\"24517632\"] \n  12 [size=\"28392960\", alpha=\"0.09\", expect_size=\"11357184\"] \n  12 -> 13 [size =\"11357184\"]\n  12 -> 14 [size =\"11357184\"]\n  12 -> 15 [size =\"11357184\"]\n  13 [size=\"59563520\", alpha=\"0.05\", expect_size=\"23825408\"] \n  14 [size=\"56721920\", alpha=\"0.04\", expect_size=\"22688768\"] \n  14 -> 17 [size =\"22688768\"]\n  15 [size=\"26675200\", alpha=\"0.15\", expect_size=\"10670080\"] \n  15 -> 16 [size =\"10670080\"]\n  16 [size=\"63656960\", alpha=\"0.01\", expect_size=\"25462784\"] \n  16 -> 19 [size =\"25462784\"]\n  16 -> 21 [size =\"25462784\"]\n  17 [size=\"120476160\", alpha=\"0.03\", expect_size=\"48190464\"] \n  17 -> 18 [size =\"48190464\"]\n  17 -> 20 [size =\"48190464\"]\n  18 [size=\"86809600\", alpha=\"0.09\", expect_size=\"34723840\"] \n  18 -> 23 [size =\"34723840\"]\n  19 [size=\"38553600\", alpha=\"0.07\", expect_size=\"15421440\"] \n  19 -> 22 [size =\"15421440\"]\n  19 -> 23 [size =\"15421440\"]\n  20 [size=\"17402880\", alpha=\"0.20\", expect_size=\"6961152\"] \n  20 -> 22 [size =\"6961152\"]\n  21 [size=\"27645440\", alpha=\"0.07\", expect_size=\"11058176\"] \n  22 [size=\"40852480\", alpha=\"0.19\", expect_size=\"16340992\"] \n  22 -> 25 [size =\"16340992\"]\n  23 [size=\"96296960\", alpha=\"0.03\", expect_size=\"38518784\"] \n  23 -> 24 [size =\"38518784\"]\n  23 -> 26 [size =\"38518784\"]\n  24 [size=\"123082240\", alpha=\"0.08\", expect_size=\"49232896\"] \n  24 -> 27 [size =\"49232896\"]\n  24 -> 28 [size =\"49232896\"]\n  25 [size=\"28628480\", alpha=\"0.17\", expect_size=\"11451392\"] \n  25 -> 27 [size =\"11451392\"]\n  25 -> 28 [size =\"11451392\"]\n  26 [size=\"117143040\", alpha=\"0.18\", expect_size=\"46857216\"] \n  27 [size=\"124648960\", alpha=\"0.18\", expect_size=\"49859584\"] \n  27 -> 30 [size =\"49859584\"]\n  27 -> 31 [size =\"49859584\"]\n  28 [size=\"27235840\", alpha=\"0.13\", expect_size=\"10894336\"] \n  28 -> 29 [size =\"10894336\"]\n  28 -> 32 [size =\"10894336\"]\n  29 [size=\"81136640\", alpha=\"0.09\", expect_size=\"32454656\"] \n  30 [size=\"121669120\", alpha=\"0.03\", expect_size=\"48667648\"] \n  30 -> 33 [size =\"48667648\"]\n  30 -> 35 [size =\"48667648\"]\n  31 [size=\"120995840\", alpha=\"0.05\", expect_size=\"48398336\"] \n  32 [size=\"42071040\", alpha=\"0.09\", expect_size=\"16828416\"] \n  32 -> 34 [size =\"16828416\"]\n  33 [size=\"36994560\", alpha=\"0.01\", expect_size=\"14797824\"] \n  34 [size=\"52275200\", alpha=\"0.01\", expect_size=\"20910080\"] \n  34 -> 36 [size =\"20910080\"]\n  35 [size=\"97523200\", alpha=\"0.03\", expect_size=\"39009280\"] \n  35 -> 36 [size =\"39009280\"]\n  35 -> 37 [size =\"39009280\"]\n  36 [size=\"79582720\", alpha=\"0.14\", expect_size=\"31833088\"] \n  36 -> 40 [size =\"31833088\"]\n  37 [size=\"65008640\", alpha=\"0.03\", expect_size=\"26003456\"] \n  37 -> 38 [size =\"26003456\"]\n  37 -> 39 [size =\"26003456\"]\n  38 [size=\"53568000\", alpha=\"0.04\", expect_size=\"21427200\"] \n  39 [size=\"14151680\", alpha=\"0.09\", expect_size=\"5660672\"] \n  40 [size=\"68554240\", alpha=\"0.16\", expect_size=\"27421696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89989120\", alpha=\"0.15\", expect_size=\"26996736\"] \n  1 -> 9 [size =\"26996736\"]\n  1 -> 13 [size =\"26996736\"]\n  2 [size=\"134219093\", alpha=\"0.01\", expect_size=\"40265728\"] \n  2 -> 14 [size =\"40265728\"]\n  3 [size=\"153036800\", alpha=\"0.12\", expect_size=\"45911040\"] \n  3 -> 9 [size =\"45911040\"]\n  3 -> 10 [size =\"45911040\"]\n  3 -> 12 [size =\"45911040\"]\n  3 -> 14 [size =\"45911040\"]\n  4 [size=\"77073067\", alpha=\"0.13\", expect_size=\"23121920\"] \n  4 -> 8 [size =\"23121920\"]\n  4 -> 9 [size =\"23121920\"]\n  4 -> 10 [size =\"23121920\"]\n  4 -> 13 [size =\"23121920\"]\n  5 [size=\"122927787\", alpha=\"0.13\", expect_size=\"36878336\"] \n  5 -> 9 [size =\"36878336\"]\n  5 -> 9 [size =\"36878336\"]\n  5 -> 10 [size =\"36878336\"]\n  5 -> 13 [size =\"36878336\"]\n  6 [size=\"119555413\", alpha=\"0.10\", expect_size=\"35866624\"] \n  6 -> 9 [size =\"35866624\"]\n  6 -> 12 [size =\"35866624\"]\n  7 [size=\"82660693\", alpha=\"0.12\", expect_size=\"24798208\"] \n  7 -> 9 [size =\"24798208\"]\n  7 -> 10 [size =\"24798208\"]\n  7 -> 11 [size =\"24798208\"]\n  7 -> 13 [size =\"24798208\"]\n  8 [size=\"130140160\", alpha=\"0.15\", expect_size=\"39042048\"] \n  8 -> 16 [size =\"39042048\"]\n  9 [size=\"126194347\", alpha=\"0.06\", expect_size=\"37858304\"] \n  9 -> 16 [size =\"37858304\"]\n  9 -> 19 [size =\"37858304\"]\n  9 -> 20 [size =\"37858304\"]\n  10 [size=\"36959573\", alpha=\"0.10\", expect_size=\"11087872\"] \n  11 [size=\"98034347\", alpha=\"0.08\", expect_size=\"29410304\"] \n  11 -> 15 [size =\"29410304\"]\n  11 -> 16 [size =\"29410304\"]\n  11 -> 20 [size =\"29410304\"]\n  12 [size=\"61289813\", alpha=\"0.11\", expect_size=\"18386944\"] \n  12 -> 16 [size =\"18386944\"]\n  12 -> 20 [size =\"18386944\"]\n  12 -> 20 [size =\"18386944\"]\n  13 [size=\"70471680\", alpha=\"0.11\", expect_size=\"21141504\"] \n  13 -> 15 [size =\"21141504\"]\n  13 -> 16 [size =\"21141504\"]\n  13 -> 17 [size =\"21141504\"]\n  13 -> 20 [size =\"21141504\"]\n  14 [size=\"164119893\", alpha=\"0.16\", expect_size=\"49235968\"] \n  14 -> 16 [size =\"49235968\"]\n  14 -> 18 [size =\"49235968\"]\n  14 -> 20 [size =\"49235968\"]\n  15 [size=\"111325867\", alpha=\"0.04\", expect_size=\"33397760\"] \n  15 -> 21 [size =\"33397760\"]\n  15 -> 25 [size =\"33397760\"]\n  16 [size=\"54913707\", alpha=\"0.18\", expect_size=\"16474112\"] \n  16 -> 22 [size =\"16474112\"]\n  16 -> 25 [size =\"16474112\"]\n  17 [size=\"137437867\", alpha=\"0.01\", expect_size=\"41231360\"] \n  17 -> 23 [size =\"41231360\"]\n  17 -> 24 [size =\"41231360\"]\n  17 -> 25 [size =\"41231360\"]\n  18 [size=\"71744853\", alpha=\"0.09\", expect_size=\"21523456\"] \n  18 -> 24 [size =\"21523456\"]\n  18 -> 25 [size =\"21523456\"]\n  19 [size=\"36171093\", alpha=\"0.18\", expect_size=\"10851328\"] \n  19 -> 25 [size =\"10851328\"]\n  20 [size=\"84749653\", alpha=\"0.18\", expect_size=\"25424896\"] \n  20 -> 22 [size =\"25424896\"]\n  20 -> 25 [size =\"25424896\"]\n  21 [size=\"160863573\", alpha=\"0.07\", expect_size=\"48259072\"] \n  21 -> 26 [size =\"48259072\"]\n  21 -> 28 [size =\"48259072\"]\n  21 -> 29 [size =\"48259072\"]\n  21 -> 31 [size =\"48259072\"]\n  22 [size=\"64187733\", alpha=\"0.11\", expect_size=\"19256320\"] \n  22 -> 26 [size =\"19256320\"]\n  22 -> 27 [size =\"19256320\"]\n  22 -> 28 [size =\"19256320\"]\n  22 -> 29 [size =\"19256320\"]\n  22 -> 30 [size =\"19256320\"]\n  23 [size=\"151992320\", alpha=\"0.13\", expect_size=\"45597696\"] \n  23 -> 29 [size =\"45597696\"]\n  23 -> 30 [size =\"45597696\"]\n  23 -> 31 [size =\"45597696\"]\n  24 [size=\"81807360\", alpha=\"0.02\", expect_size=\"24542208\"] \n  24 -> 28 [size =\"24542208\"]\n  24 -> 29 [size =\"24542208\"]\n  24 -> 30 [size =\"24542208\"]\n  24 -> 31 [size =\"24542208\"]\n  25 [size=\"49404587\", alpha=\"0.05\", expect_size=\"14821376\"] \n  25 -> 26 [size =\"14821376\"]\n  25 -> 29 [size =\"14821376\"]\n  25 -> 31 [size =\"14821376\"]\n  26 [size=\"79585280\", alpha=\"0.00\", expect_size=\"23875584\"] \n  26 -> 32 [size =\"23875584\"]\n  26 -> 33 [size =\"23875584\"]\n  26 -> 34 [size =\"23875584\"]\n  26 -> 35 [size =\"23875584\"]\n  27 [size=\"63361707\", alpha=\"0.04\", expect_size=\"19008512\"] \n  27 -> 32 [size =\"19008512\"]\n  27 -> 33 [size =\"19008512\"]\n  27 -> 34 [size =\"19008512\"]\n  28 [size=\"70594560\", alpha=\"0.02\", expect_size=\"21178368\"] \n  28 -> 32 [size =\"21178368\"]\n  28 -> 33 [size =\"21178368\"]\n  28 -> 34 [size =\"21178368\"]\n  29 [size=\"144271360\", alpha=\"0.14\", expect_size=\"43281408\"] \n  29 -> 32 [size =\"43281408\"]\n  29 -> 33 [size =\"43281408\"]\n  29 -> 34 [size =\"43281408\"]\n  29 -> 35 [size =\"43281408\"]\n  30 [size=\"125641387\", alpha=\"0.08\", expect_size=\"37692416\"] \n  30 -> 32 [size =\"37692416\"]\n  30 -> 33 [size =\"37692416\"]\n  30 -> 34 [size =\"37692416\"]\n  31 [size=\"108530347\", alpha=\"0.13\", expect_size=\"32559104\"] \n  31 -> 32 [size =\"32559104\"]\n  31 -> 33 [size =\"32559104\"]\n  31 -> 34 [size =\"32559104\"]\n  32 [size=\"165457920\", alpha=\"0.03\", expect_size=\"49637376\"] \n  32 -> 37 [size =\"49637376\"]\n  32 -> 38 [size =\"49637376\"]\n  32 -> 39 [size =\"49637376\"]\n  32 -> 40 [size =\"49637376\"]\n  33 [size=\"98594133\", alpha=\"0.20\", expect_size=\"29578240\"] \n  33 -> 37 [size =\"29578240\"]\n  33 -> 39 [size =\"29578240\"]\n  33 -> 40 [size =\"29578240\"]\n  34 [size=\"43502933\", alpha=\"0.15\", expect_size=\"13050880\"] \n  34 -> 36 [size =\"13050880\"]\n  34 -> 38 [size =\"13050880\"]\n  34 -> 39 [size =\"13050880\"]\n  34 -> 40 [size =\"13050880\"]\n  35 [size=\"59784533\", alpha=\"0.03\", expect_size=\"17935360\"] \n  35 -> 36 [size =\"17935360\"]\n  35 -> 37 [size =\"17935360\"]\n  35 -> 38 [size =\"17935360\"]\n  35 -> 39 [size =\"17935360\"]\n  35 -> 40 [size =\"17935360\"]\n  36 [size=\"95600640\", alpha=\"0.15\", expect_size=\"28680192\"] \n  37 [size=\"95750827\", alpha=\"0.03\", expect_size=\"28725248\"] \n  38 [size=\"125419520\", alpha=\"0.17\", expect_size=\"37625856\"] \n  39 [size=\"139987627\", alpha=\"0.14\", expect_size=\"41996288\"] \n  40 [size=\"90886827\", alpha=\"0.19\", expect_size=\"27266048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36651008\", alpha=\"0.00\", expect_size=\"18325504\"] \n  1 -> 5 [size =\"18325504\"]\n  2 [size=\"62658560\", alpha=\"0.01\", expect_size=\"31329280\"] \n  3 [size=\"101048320\", alpha=\"0.18\", expect_size=\"50524160\"] \n  3 -> 4 [size =\"50524160\"]\n  4 [size=\"18388992\", alpha=\"0.18\", expect_size=\"9194496\"] \n  4 -> 8 [size =\"9194496\"]\n  5 [size=\"64126976\", alpha=\"0.12\", expect_size=\"32063488\"] \n  5 -> 6 [size =\"32063488\"]\n  5 -> 7 [size =\"32063488\"]\n  5 -> 8 [size =\"32063488\"]\n  6 [size=\"94390272\", alpha=\"0.14\", expect_size=\"47195136\"] \n  6 -> 9 [size =\"47195136\"]\n  6 -> 10 [size =\"47195136\"]\n  7 [size=\"44308480\", alpha=\"0.06\", expect_size=\"22154240\"] \n  7 -> 9 [size =\"22154240\"]\n  7 -> 10 [size =\"22154240\"]\n  8 [size=\"49664000\", alpha=\"0.05\", expect_size=\"24832000\"] \n  9 [size=\"74954752\", alpha=\"0.12\", expect_size=\"37477376\"] \n  9 -> 12 [size =\"37477376\"]\n  10 [size=\"72466432\", alpha=\"0.13\", expect_size=\"36233216\"] \n  10 -> 11 [size =\"36233216\"]\n  11 [size=\"49063936\", alpha=\"0.04\", expect_size=\"24531968\"] \n  11 -> 13 [size =\"24531968\"]\n  11 -> 14 [size =\"24531968\"]\n  12 [size=\"49625088\", alpha=\"0.19\", expect_size=\"24812544\"] \n  12 -> 13 [size =\"24812544\"]\n  12 -> 14 [size =\"24812544\"]\n  13 [size=\"56117248\", alpha=\"0.09\", expect_size=\"28058624\"] \n  13 -> 15 [size =\"28058624\"]\n  13 -> 16 [size =\"28058624\"]\n  13 -> 17 [size =\"28058624\"]\n  14 [size=\"45731840\", alpha=\"0.09\", expect_size=\"22865920\"] \n  14 -> 16 [size =\"22865920\"]\n  14 -> 17 [size =\"22865920\"]\n  15 [size=\"38318080\", alpha=\"0.10\", expect_size=\"19159040\"] \n  15 -> 18 [size =\"19159040\"]\n  16 [size=\"96524288\", alpha=\"0.03\", expect_size=\"48262144\"] \n  16 -> 18 [size =\"48262144\"]\n  16 -> 19 [size =\"48262144\"]\n  17 [size=\"67647488\", alpha=\"0.19\", expect_size=\"33823744\"] \n  18 [size=\"96845824\", alpha=\"0.05\", expect_size=\"48422912\"] \n  18 -> 20 [size =\"48422912\"]\n  19 [size=\"26171392\", alpha=\"0.11\", expect_size=\"13085696\"] \n  19 -> 21 [size =\"13085696\"]\n  19 -> 22 [size =\"13085696\"]\n  20 [size=\"84594688\", alpha=\"0.17\", expect_size=\"42297344\"] \n  20 -> 24 [size =\"42297344\"]\n  21 [size=\"50802688\", alpha=\"0.08\", expect_size=\"25401344\"] \n  21 -> 23 [size =\"25401344\"]\n  21 -> 24 [size =\"25401344\"]\n  21 -> 25 [size =\"25401344\"]\n  22 [size=\"69904384\", alpha=\"0.11\", expect_size=\"34952192\"] \n  22 -> 24 [size =\"34952192\"]\n  22 -> 25 [size =\"34952192\"]\n  22 -> 25 [size =\"34952192\"]\n  23 [size=\"66480128\", alpha=\"0.12\", expect_size=\"33240064\"] \n  23 -> 26 [size =\"33240064\"]\n  23 -> 27 [size =\"33240064\"]\n  24 [size=\"15622144\", alpha=\"0.16\", expect_size=\"7811072\"] \n  24 -> 27 [size =\"7811072\"]\n  25 [size=\"58128384\", alpha=\"0.11\", expect_size=\"29064192\"] \n  25 -> 26 [size =\"29064192\"]\n  26 [size=\"102963200\", alpha=\"0.03\", expect_size=\"51481600\"] \n  26 -> 28 [size =\"51481600\"]\n  26 -> 29 [size =\"51481600\"]\n  27 [size=\"22128640\", alpha=\"0.03\", expect_size=\"11064320\"] \n  27 -> 29 [size =\"11064320\"]\n  28 [size=\"15763456\", alpha=\"0.11\", expect_size=\"7881728\"] \n  28 -> 30 [size =\"7881728\"]\n  28 -> 31 [size =\"7881728\"]\n  29 [size=\"38303744\", alpha=\"0.12\", expect_size=\"19151872\"] \n  29 -> 30 [size =\"19151872\"]\n  29 -> 31 [size =\"19151872\"]\n  30 [size=\"89987072\", alpha=\"0.07\", expect_size=\"44993536\"] \n  30 -> 32 [size =\"44993536\"]\n  30 -> 33 [size =\"44993536\"]\n  30 -> 34 [size =\"44993536\"]\n  31 [size=\"75096064\", alpha=\"0.10\", expect_size=\"37548032\"] \n  31 -> 32 [size =\"37548032\"]\n  32 [size=\"19798016\", alpha=\"0.01\", expect_size=\"9899008\"] \n  33 [size=\"70637568\", alpha=\"0.02\", expect_size=\"35318784\"] \n  33 -> 36 [size =\"35318784\"]\n  33 -> 37 [size =\"35318784\"]\n  34 [size=\"35061760\", alpha=\"0.11\", expect_size=\"17530880\"] \n  34 -> 35 [size =\"17530880\"]\n  34 -> 36 [size =\"17530880\"]\n  35 [size=\"15351808\", alpha=\"0.05\", expect_size=\"7675904\"] \n  35 -> 38 [size =\"7675904\"]\n  36 [size=\"65144832\", alpha=\"0.18\", expect_size=\"32572416\"] \n  36 -> 38 [size =\"32572416\"]\n  36 -> 39 [size =\"32572416\"]\n  37 [size=\"79607808\", alpha=\"0.02\", expect_size=\"39803904\"] \n  38 [size=\"92559360\", alpha=\"0.05\", expect_size=\"46279680\"] \n  38 -> 40 [size =\"46279680\"]\n  39 [size=\"48809984\", alpha=\"0.11\", expect_size=\"24404992\"] \n  39 -> 40 [size =\"24404992\"]\n  40 [size=\"12828672\", alpha=\"0.13\", expect_size=\"6414336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42233856\", alpha=\"0.07\", expect_size=\"21116928\"] \n  1 -> 13 [size =\"21116928\"]\n  1 -> 15 [size =\"21116928\"]\n  1 -> 19 [size =\"21116928\"]\n  2 [size=\"71421952\", alpha=\"0.02\", expect_size=\"35710976\"] \n  2 -> 16 [size =\"35710976\"]\n  2 -> 20 [size =\"35710976\"]\n  2 -> 21 [size =\"35710976\"]\n  3 [size=\"84631552\", alpha=\"0.03\", expect_size=\"42315776\"] \n  3 -> 20 [size =\"42315776\"]\n  3 -> 22 [size =\"42315776\"]\n  4 [size=\"17635328\", alpha=\"0.19\", expect_size=\"8817664\"] \n  4 -> 17 [size =\"8817664\"]\n  4 -> 19 [size =\"8817664\"]\n  4 -> 20 [size =\"8817664\"]\n  5 [size=\"21207040\", alpha=\"0.19\", expect_size=\"10603520\"] \n  5 -> 15 [size =\"10603520\"]\n  5 -> 18 [size =\"10603520\"]\n  6 [size=\"88610816\", alpha=\"0.07\", expect_size=\"44305408\"] \n  6 -> 15 [size =\"44305408\"]\n  6 -> 21 [size =\"44305408\"]\n  7 [size=\"102254592\", alpha=\"0.09\", expect_size=\"51127296\"] \n  7 -> 14 [size =\"51127296\"]\n  7 -> 15 [size =\"51127296\"]\n  7 -> 20 [size =\"51127296\"]\n  7 -> 21 [size =\"51127296\"]\n  8 [size=\"43165696\", alpha=\"0.18\", expect_size=\"21582848\"] \n  8 -> 18 [size =\"21582848\"]\n  8 -> 21 [size =\"21582848\"]\n  9 [size=\"20293632\", alpha=\"0.15\", expect_size=\"10146816\"] \n  9 -> 16 [size =\"10146816\"]\n  9 -> 21 [size =\"10146816\"]\n  10 [size=\"59144192\", alpha=\"0.10\", expect_size=\"29572096\"] \n  10 -> 14 [size =\"29572096\"]\n  10 -> 21 [size =\"29572096\"]\n  10 -> 22 [size =\"29572096\"]\n  11 [size=\"79618048\", alpha=\"0.01\", expect_size=\"39809024\"] \n  11 -> 15 [size =\"39809024\"]\n  11 -> 20 [size =\"39809024\"]\n  11 -> 21 [size =\"39809024\"]\n  11 -> 22 [size =\"39809024\"]\n  12 [size=\"17035264\", alpha=\"0.04\", expect_size=\"8517632\"] \n  12 -> 15 [size =\"8517632\"]\n  12 -> 20 [size =\"8517632\"]\n  12 -> 21 [size =\"8517632\"]\n  12 -> 22 [size =\"8517632\"]\n  13 [size=\"27447296\", alpha=\"0.00\", expect_size=\"13723648\"] \n  13 -> 25 [size =\"13723648\"]\n  13 -> 27 [size =\"13723648\"]\n  13 -> 28 [size =\"13723648\"]\n  13 -> 29 [size =\"13723648\"]\n  13 -> 30 [size =\"13723648\"]\n  13 -> 32 [size =\"13723648\"]\n  14 [size=\"43464704\", alpha=\"0.20\", expect_size=\"21732352\"] \n  14 -> 23 [size =\"21732352\"]\n  14 -> 30 [size =\"21732352\"]\n  14 -> 32 [size =\"21732352\"]\n  14 -> 33 [size =\"21732352\"]\n  14 -> 34 [size =\"21732352\"]\n  14 -> 35 [size =\"21732352\"]\n  14 -> 36 [size =\"21732352\"]\n  15 [size=\"37904384\", alpha=\"0.16\", expect_size=\"18952192\"] \n  15 -> 23 [size =\"18952192\"]\n  15 -> 27 [size =\"18952192\"]\n  15 -> 29 [size =\"18952192\"]\n  15 -> 30 [size =\"18952192\"]\n  15 -> 32 [size =\"18952192\"]\n  15 -> 33 [size =\"18952192\"]\n  16 [size=\"32780288\", alpha=\"0.20\", expect_size=\"16390144\"] \n  16 -> 27 [size =\"16390144\"]\n  16 -> 28 [size =\"16390144\"]\n  16 -> 32 [size =\"16390144\"]\n  17 [size=\"67536896\", alpha=\"0.04\", expect_size=\"33768448\"] \n  17 -> 28 [size =\"33768448\"]\n  17 -> 33 [size =\"33768448\"]\n  17 -> 36 [size =\"33768448\"]\n  18 [size=\"16082944\", alpha=\"0.04\", expect_size=\"8041472\"] \n  18 -> 24 [size =\"8041472\"]\n  18 -> 32 [size =\"8041472\"]\n  18 -> 36 [size =\"8041472\"]\n  19 [size=\"98947072\", alpha=\"0.07\", expect_size=\"49473536\"] \n  19 -> 23 [size =\"49473536\"]\n  19 -> 26 [size =\"49473536\"]\n  19 -> 27 [size =\"49473536\"]\n  19 -> 28 [size =\"49473536\"]\n  19 -> 29 [size =\"49473536\"]\n  19 -> 30 [size =\"49473536\"]\n  19 -> 32 [size =\"49473536\"]\n  19 -> 35 [size =\"49473536\"]\n  20 [size=\"75716608\", alpha=\"0.14\", expect_size=\"37858304\"] \n  20 -> 26 [size =\"37858304\"]\n  20 -> 29 [size =\"37858304\"]\n  20 -> 34 [size =\"37858304\"]\n  21 [size=\"28719104\", alpha=\"0.08\", expect_size=\"14359552\"] \n  21 -> 24 [size =\"14359552\"]\n  21 -> 25 [size =\"14359552\"]\n  21 -> 26 [size =\"14359552\"]\n  21 -> 29 [size =\"14359552\"]\n  21 -> 30 [size =\"14359552\"]\n  21 -> 31 [size =\"14359552\"]\n  21 -> 35 [size =\"14359552\"]\n  22 [size=\"34697216\", alpha=\"0.14\", expect_size=\"17348608\"] \n  22 -> 23 [size =\"17348608\"]\n  22 -> 29 [size =\"17348608\"]\n  22 -> 30 [size =\"17348608\"]\n  22 -> 33 [size =\"17348608\"]\n  22 -> 36 [size =\"17348608\"]\n  23 [size=\"52654080\", alpha=\"0.16\", expect_size=\"26327040\"] \n  23 -> 37 [size =\"26327040\"]\n  23 -> 38 [size =\"26327040\"]\n  23 -> 39 [size =\"26327040\"]\n  23 -> 40 [size =\"26327040\"]\n  24 [size=\"54077440\", alpha=\"0.20\", expect_size=\"27038720\"] \n  24 -> 37 [size =\"27038720\"]\n  24 -> 39 [size =\"27038720\"]\n  25 [size=\"52393984\", alpha=\"0.06\", expect_size=\"26196992\"] \n  25 -> 37 [size =\"26196992\"]\n  25 -> 39 [size =\"26196992\"]\n  26 [size=\"32178176\", alpha=\"0.08\", expect_size=\"16089088\"] \n  26 -> 37 [size =\"16089088\"]\n  26 -> 39 [size =\"16089088\"]\n  27 [size=\"30357504\", alpha=\"0.10\", expect_size=\"15178752\"] \n  27 -> 38 [size =\"15178752\"]\n  27 -> 39 [size =\"15178752\"]\n  28 [size=\"47294464\", alpha=\"0.19\", expect_size=\"23647232\"] \n  28 -> 39 [size =\"23647232\"]\n  28 -> 39 [size =\"23647232\"]\n  29 [size=\"64188416\", alpha=\"0.10\", expect_size=\"32094208\"] \n  29 -> 38 [size =\"32094208\"]\n  30 [size=\"99166208\", alpha=\"0.11\", expect_size=\"49583104\"] \n  30 -> 38 [size =\"49583104\"]\n  31 [size=\"71641088\", alpha=\"0.07\", expect_size=\"35820544\"] \n  31 -> 40 [size =\"35820544\"]\n  32 [size=\"13357056\", alpha=\"0.04\", expect_size=\"6678528\"] \n  33 [size=\"79624192\", alpha=\"0.05\", expect_size=\"39812096\"] \n  33 -> 39 [size =\"39812096\"]\n  34 [size=\"61476864\", alpha=\"0.13\", expect_size=\"30738432\"] \n  34 -> 38 [size =\"30738432\"]\n  35 [size=\"60434432\", alpha=\"0.06\", expect_size=\"30217216\"] \n  35 -> 40 [size =\"30217216\"]\n  36 [size=\"87220224\", alpha=\"0.05\", expect_size=\"43610112\"] \n  37 [size=\"31219712\", alpha=\"0.15\", expect_size=\"15609856\"] \n  38 [size=\"78569472\", alpha=\"0.07\", expect_size=\"39284736\"] \n  39 [size=\"73209856\", alpha=\"0.17\", expect_size=\"36604928\"] \n  40 [size=\"24946688\", alpha=\"0.02\", expect_size=\"12473344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73857707\", alpha=\"0.04\", expect_size=\"22157312\"] \n  1 -> 22 [size =\"22157312\"]\n  1 -> 23 [size =\"22157312\"]\n  1 -> 26 [size =\"22157312\"]\n  1 -> 29 [size =\"22157312\"]\n  1 -> 32 [size =\"22157312\"]\n  1 -> 34 [size =\"22157312\"]\n  2 [size=\"97539413\", alpha=\"0.05\", expect_size=\"29261824\"] \n  2 -> 19 [size =\"29261824\"]\n  2 -> 22 [size =\"29261824\"]\n  2 -> 23 [size =\"29261824\"]\n  2 -> 32 [size =\"29261824\"]\n  2 -> 36 [size =\"29261824\"]\n  3 [size=\"134683307\", alpha=\"0.06\", expect_size=\"40404992\"] \n  3 -> 23 [size =\"40404992\"]\n  3 -> 29 [size =\"40404992\"]\n  3 -> 33 [size =\"40404992\"]\n  3 -> 36 [size =\"40404992\"]\n  3 -> 40 [size =\"40404992\"]\n  4 [size=\"120849067\", alpha=\"0.14\", expect_size=\"36254720\"] \n  4 -> 20 [size =\"36254720\"]\n  4 -> 23 [size =\"36254720\"]\n  4 -> 29 [size =\"36254720\"]\n  4 -> 33 [size =\"36254720\"]\n  4 -> 36 [size =\"36254720\"]\n  4 -> 38 [size =\"36254720\"]\n  5 [size=\"89934507\", alpha=\"0.20\", expect_size=\"26980352\"] \n  5 -> 21 [size =\"26980352\"]\n  5 -> 23 [size =\"26980352\"]\n  5 -> 32 [size =\"26980352\"]\n  5 -> 34 [size =\"26980352\"]\n  5 -> 35 [size =\"26980352\"]\n  5 -> 38 [size =\"26980352\"]\n  5 -> 40 [size =\"26980352\"]\n  6 [size=\"71652693\", alpha=\"0.13\", expect_size=\"21495808\"] \n  6 -> 34 [size =\"21495808\"]\n  6 -> 40 [size =\"21495808\"]\n  7 [size=\"151848960\", alpha=\"0.18\", expect_size=\"45554688\"] \n  7 -> 20 [size =\"45554688\"]\n  7 -> 22 [size =\"45554688\"]\n  7 -> 27 [size =\"45554688\"]\n  7 -> 34 [size =\"45554688\"]\n  7 -> 40 [size =\"45554688\"]\n  8 [size=\"89569280\", alpha=\"0.06\", expect_size=\"26870784\"] \n  8 -> 19 [size =\"26870784\"]\n  8 -> 28 [size =\"26870784\"]\n  8 -> 30 [size =\"26870784\"]\n  8 -> 32 [size =\"26870784\"]\n  8 -> 34 [size =\"26870784\"]\n  9 [size=\"86630400\", alpha=\"0.06\", expect_size=\"25989120\"] \n  9 -> 25 [size =\"25989120\"]\n  9 -> 26 [size =\"25989120\"]\n  9 -> 27 [size =\"25989120\"]\n  9 -> 33 [size =\"25989120\"]\n  9 -> 34 [size =\"25989120\"]\n  9 -> 35 [size =\"25989120\"]\n  9 -> 37 [size =\"25989120\"]\n  10 [size=\"71533227\", alpha=\"0.09\", expect_size=\"21459968\"] \n  10 -> 20 [size =\"21459968\"]\n  10 -> 22 [size =\"21459968\"]\n  10 -> 23 [size =\"21459968\"]\n  10 -> 25 [size =\"21459968\"]\n  10 -> 26 [size =\"21459968\"]\n  10 -> 27 [size =\"21459968\"]\n  10 -> 29 [size =\"21459968\"]\n  10 -> 32 [size =\"21459968\"]\n  10 -> 34 [size =\"21459968\"]\n  10 -> 37 [size =\"21459968\"]\n  10 -> 40 [size =\"21459968\"]\n  11 [size=\"67850240\", alpha=\"0.06\", expect_size=\"20355072\"] \n  11 -> 20 [size =\"20355072\"]\n  11 -> 22 [size =\"20355072\"]\n  11 -> 23 [size =\"20355072\"]\n  11 -> 30 [size =\"20355072\"]\n  11 -> 31 [size =\"20355072\"]\n  11 -> 34 [size =\"20355072\"]\n  12 [size=\"100829867\", alpha=\"0.07\", expect_size=\"30248960\"] \n  12 -> 27 [size =\"30248960\"]\n  12 -> 32 [size =\"30248960\"]\n  12 -> 40 [size =\"30248960\"]\n  13 [size=\"138871467\", alpha=\"0.13\", expect_size=\"41661440\"] \n  13 -> 20 [size =\"41661440\"]\n  13 -> 27 [size =\"41661440\"]\n  13 -> 29 [size =\"41661440\"]\n  13 -> 33 [size =\"41661440\"]\n  13 -> 37 [size =\"41661440\"]\n  14 [size=\"30631253\", alpha=\"0.03\", expect_size=\"9189376\"] \n  14 -> 18 [size =\"9189376\"]\n  14 -> 23 [size =\"9189376\"]\n  14 -> 26 [size =\"9189376\"]\n  14 -> 29 [size =\"9189376\"]\n  14 -> 33 [size =\"9189376\"]\n  14 -> 35 [size =\"9189376\"]\n  14 -> 36 [size =\"9189376\"]\n  14 -> 40 [size =\"9189376\"]\n  15 [size=\"138813440\", alpha=\"0.10\", expect_size=\"41644032\"] \n  15 -> 21 [size =\"41644032\"]\n  15 -> 25 [size =\"41644032\"]\n  15 -> 26 [size =\"41644032\"]\n  15 -> 27 [size =\"41644032\"]\n  15 -> 29 [size =\"41644032\"]\n  15 -> 32 [size =\"41644032\"]\n  15 -> 33 [size =\"41644032\"]\n  15 -> 37 [size =\"41644032\"]\n  15 -> 40 [size =\"41644032\"]\n  16 [size=\"136751787\", alpha=\"0.17\", expect_size=\"41025536\"] \n  16 -> 24 [size =\"41025536\"]\n  16 -> 25 [size =\"41025536\"]\n  16 -> 27 [size =\"41025536\"]\n  16 -> 29 [size =\"41025536\"]\n  16 -> 30 [size =\"41025536\"]\n  16 -> 32 [size =\"41025536\"]\n  16 -> 33 [size =\"41025536\"]\n  16 -> 37 [size =\"41025536\"]\n  16 -> 39 [size =\"41025536\"]\n  16 -> 40 [size =\"41025536\"]\n  17 [size=\"83810987\", alpha=\"0.07\", expect_size=\"25143296\"] \n  17 -> 29 [size =\"25143296\"]\n  17 -> 30 [size =\"25143296\"]\n  17 -> 37 [size =\"25143296\"]\n  18 [size=\"66850133\", alpha=\"0.05\", expect_size=\"20055040\"] \n  19 [size=\"117439147\", alpha=\"0.01\", expect_size=\"35231744\"] \n  20 [size=\"166021120\", alpha=\"0.01\", expect_size=\"49806336\"] \n  21 [size=\"78103893\", alpha=\"0.09\", expect_size=\"23431168\"] \n  22 [size=\"125702827\", alpha=\"0.06\", expect_size=\"37710848\"] \n  23 [size=\"26129067\", alpha=\"0.19\", expect_size=\"7838720\"] \n  24 [size=\"128846507\", alpha=\"0.04\", expect_size=\"38653952\"] \n  25 [size=\"149807787\", alpha=\"0.19\", expect_size=\"44942336\"] \n  26 [size=\"71649280\", alpha=\"0.01\", expect_size=\"21494784\"] \n  27 [size=\"47554560\", alpha=\"0.20\", expect_size=\"14266368\"] \n  28 [size=\"100655787\", alpha=\"0.08\", expect_size=\"30196736\"] \n  29 [size=\"142906027\", alpha=\"0.04\", expect_size=\"42871808\"] \n  30 [size=\"152067413\", alpha=\"0.08\", expect_size=\"45620224\"] \n  31 [size=\"162921813\", alpha=\"0.18\", expect_size=\"48876544\"] \n  32 [size=\"74567680\", alpha=\"0.19\", expect_size=\"22370304\"] \n  33 [size=\"124351147\", alpha=\"0.15\", expect_size=\"37305344\"] \n  34 [size=\"114909867\", alpha=\"0.13\", expect_size=\"34472960\"] \n  35 [size=\"149623467\", alpha=\"0.06\", expect_size=\"44887040\"] \n  36 [size=\"143663787\", alpha=\"0.14\", expect_size=\"43099136\"] \n  37 [size=\"151203840\", alpha=\"0.11\", expect_size=\"45361152\"] \n  38 [size=\"149336747\", alpha=\"0.14\", expect_size=\"44801024\"] \n  39 [size=\"52872533\", alpha=\"0.10\", expect_size=\"15861760\"] \n  40 [size=\"88248320\", alpha=\"0.04\", expect_size=\"26474496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110443520\", alpha=\"0.19\", expect_size=\"44177408\"] \n  1 -> 10 [size =\"44177408\"]\n  2 [size=\"51156480\", alpha=\"0.15\", expect_size=\"20462592\"] \n  2 -> 9 [size =\"20462592\"]\n  2 -> 12 [size =\"20462592\"]\n  3 [size=\"105285120\", alpha=\"0.16\", expect_size=\"42114048\"] \n  3 -> 10 [size =\"42114048\"]\n  3 -> 11 [size =\"42114048\"]\n  4 [size=\"111966720\", alpha=\"0.14\", expect_size=\"44786688\"] \n  4 -> 10 [size =\"44786688\"]\n  4 -> 12 [size =\"44786688\"]\n  5 [size=\"127831040\", alpha=\"0.12\", expect_size=\"51132416\"] \n  6 [size=\"46154240\", alpha=\"0.07\", expect_size=\"18461696\"] \n  6 -> 8 [size =\"18461696\"]\n  6 -> 11 [size =\"18461696\"]\n  7 [size=\"43650560\", alpha=\"0.03\", expect_size=\"17460224\"] \n  7 -> 9 [size =\"17460224\"]\n  7 -> 10 [size =\"17460224\"]\n  7 -> 12 [size =\"17460224\"]\n  8 [size=\"68328960\", alpha=\"0.14\", expect_size=\"27331584\"] \n  8 -> 15 [size =\"27331584\"]\n  8 -> 17 [size =\"27331584\"]\n  9 [size=\"49861120\", alpha=\"0.13\", expect_size=\"19944448\"] \n  9 -> 18 [size =\"19944448\"]\n  10 [size=\"49305600\", alpha=\"0.02\", expect_size=\"19722240\"] \n  10 -> 16 [size =\"19722240\"]\n  10 -> 19 [size =\"19722240\"]\n  11 [size=\"82155520\", alpha=\"0.19\", expect_size=\"32862208\"] \n  11 -> 15 [size =\"32862208\"]\n  11 -> 17 [size =\"32862208\"]\n  11 -> 18 [size =\"32862208\"]\n  11 -> 19 [size =\"32862208\"]\n  12 [size=\"75799040\", alpha=\"0.09\", expect_size=\"30319616\"] \n  12 -> 13 [size =\"30319616\"]\n  12 -> 14 [size =\"30319616\"]\n  12 -> 15 [size =\"30319616\"]\n  12 -> 19 [size =\"30319616\"]\n  13 [size=\"48862720\", alpha=\"0.17\", expect_size=\"19545088\"] \n  13 -> 20 [size =\"19545088\"]\n  13 -> 23 [size =\"19545088\"]\n  13 -> 24 [size =\"19545088\"]\n  14 [size=\"22417920\", alpha=\"0.05\", expect_size=\"8967168\"] \n  14 -> 22 [size =\"8967168\"]\n  14 -> 23 [size =\"8967168\"]\n  14 -> 25 [size =\"8967168\"]\n  15 [size=\"106695680\", alpha=\"0.14\", expect_size=\"42678272\"] \n  15 -> 20 [size =\"42678272\"]\n  15 -> 22 [size =\"42678272\"]\n  15 -> 26 [size =\"42678272\"]\n  16 [size=\"57236480\", alpha=\"0.18\", expect_size=\"22894592\"] \n  16 -> 23 [size =\"22894592\"]\n  16 -> 24 [size =\"22894592\"]\n  16 -> 25 [size =\"22894592\"]\n  17 [size=\"100679680\", alpha=\"0.05\", expect_size=\"40271872\"] \n  17 -> 20 [size =\"40271872\"]\n  17 -> 23 [size =\"40271872\"]\n  17 -> 26 [size =\"40271872\"]\n  18 [size=\"118935040\", alpha=\"0.04\", expect_size=\"47574016\"] \n  18 -> 21 [size =\"47574016\"]\n  18 -> 22 [size =\"47574016\"]\n  18 -> 25 [size =\"47574016\"]\n  18 -> 26 [size =\"47574016\"]\n  19 [size=\"84986880\", alpha=\"0.09\", expect_size=\"33994752\"] \n  19 -> 25 [size =\"33994752\"]\n  20 [size=\"46105600\", alpha=\"0.05\", expect_size=\"18442240\"] \n  21 [size=\"59622400\", alpha=\"0.18\", expect_size=\"23848960\"] \n  21 -> 29 [size =\"23848960\"]\n  22 [size=\"55270400\", alpha=\"0.17\", expect_size=\"22108160\"] \n  22 -> 28 [size =\"22108160\"]\n  23 [size=\"106608640\", alpha=\"0.12\", expect_size=\"42643456\"] \n  23 -> 31 [size =\"42643456\"]\n  24 [size=\"91100160\", alpha=\"0.04\", expect_size=\"36440064\"] \n  24 -> 32 [size =\"36440064\"]\n  25 [size=\"118131200\", alpha=\"0.15\", expect_size=\"47252480\"] \n  25 -> 27 [size =\"47252480\"]\n  25 -> 28 [size =\"47252480\"]\n  25 -> 29 [size =\"47252480\"]\n  25 -> 30 [size =\"47252480\"]\n  26 [size=\"84346880\", alpha=\"0.12\", expect_size=\"33738752\"] \n  26 -> 29 [size =\"33738752\"]\n  26 -> 31 [size =\"33738752\"]\n  27 [size=\"72186880\", alpha=\"0.13\", expect_size=\"28874752\"] \n  27 -> 33 [size =\"28874752\"]\n  27 -> 34 [size =\"28874752\"]\n  28 [size=\"99991040\", alpha=\"0.05\", expect_size=\"39996416\"] \n  28 -> 33 [size =\"39996416\"]\n  28 -> 35 [size =\"39996416\"]\n  29 [size=\"121551360\", alpha=\"0.02\", expect_size=\"48620544\"] \n  29 -> 35 [size =\"48620544\"]\n  30 [size=\"54064640\", alpha=\"0.06\", expect_size=\"21625856\"] \n  30 -> 33 [size =\"21625856\"]\n  30 -> 34 [size =\"21625856\"]\n  30 -> 36 [size =\"21625856\"]\n  31 [size=\"82992640\", alpha=\"0.01\", expect_size=\"33197056\"] \n  31 -> 36 [size =\"33197056\"]\n  32 [size=\"69736960\", alpha=\"0.07\", expect_size=\"27894784\"] \n  32 -> 35 [size =\"27894784\"]\n  32 -> 37 [size =\"27894784\"]\n  33 [size=\"52349440\", alpha=\"0.19\", expect_size=\"20939776\"] \n  34 [size=\"123010560\", alpha=\"0.13\", expect_size=\"49204224\"] \n  34 -> 40 [size =\"49204224\"]\n  35 [size=\"26685440\", alpha=\"0.02\", expect_size=\"10674176\"] \n  35 -> 38 [size =\"10674176\"]\n  35 -> 39 [size =\"10674176\"]\n  35 -> 40 [size =\"10674176\"]\n  36 [size=\"114030080\", alpha=\"0.19\", expect_size=\"45612032\"] \n  36 -> 38 [size =\"45612032\"]\n  37 [size=\"64197120\", alpha=\"0.11\", expect_size=\"25678848\"] \n  38 [size=\"25702400\", alpha=\"0.01\", expect_size=\"10280960\"] \n  39 [size=\"53765120\", alpha=\"0.03\", expect_size=\"21506048\"] \n  40 [size=\"67174400\", alpha=\"0.11\", expect_size=\"26869760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80163840\", alpha=\"0.09\", expect_size=\"32065536\"] \n  1 -> 30 [size =\"32065536\"]\n  1 -> 31 [size =\"32065536\"]\n  1 -> 36 [size =\"32065536\"]\n  1 -> 37 [size =\"32065536\"]\n  1 -> 38 [size =\"32065536\"]\n  1 -> 39 [size =\"32065536\"]\n  2 [size=\"118272000\", alpha=\"0.08\", expect_size=\"47308800\"] \n  2 -> 26 [size =\"47308800\"]\n  2 -> 28 [size =\"47308800\"]\n  2 -> 31 [size =\"47308800\"]\n  2 -> 33 [size =\"47308800\"]\n  2 -> 35 [size =\"47308800\"]\n  2 -> 36 [size =\"47308800\"]\n  2 -> 40 [size =\"47308800\"]\n  3 [size=\"68078080\", alpha=\"0.07\", expect_size=\"27231232\"] \n  3 -> 29 [size =\"27231232\"]\n  3 -> 30 [size =\"27231232\"]\n  3 -> 31 [size =\"27231232\"]\n  3 -> 36 [size =\"27231232\"]\n  4 [size=\"48885760\", alpha=\"0.18\", expect_size=\"19554304\"] \n  4 -> 25 [size =\"19554304\"]\n  4 -> 30 [size =\"19554304\"]\n  4 -> 31 [size =\"19554304\"]\n  4 -> 33 [size =\"19554304\"]\n  4 -> 34 [size =\"19554304\"]\n  4 -> 36 [size =\"19554304\"]\n  4 -> 40 [size =\"19554304\"]\n  5 [size=\"122232320\", alpha=\"0.04\", expect_size=\"48892928\"] \n  5 -> 25 [size =\"48892928\"]\n  5 -> 30 [size =\"48892928\"]\n  5 -> 31 [size =\"48892928\"]\n  5 -> 33 [size =\"48892928\"]\n  5 -> 36 [size =\"48892928\"]\n  6 [size=\"119142400\", alpha=\"0.06\", expect_size=\"47656960\"] \n  6 -> 28 [size =\"47656960\"]\n  6 -> 31 [size =\"47656960\"]\n  6 -> 32 [size =\"47656960\"]\n  6 -> 33 [size =\"47656960\"]\n  7 [size=\"29660160\", alpha=\"0.14\", expect_size=\"11864064\"] \n  7 -> 25 [size =\"11864064\"]\n  7 -> 26 [size =\"11864064\"]\n  7 -> 29 [size =\"11864064\"]\n  7 -> 34 [size =\"11864064\"]\n  7 -> 36 [size =\"11864064\"]\n  7 -> 37 [size =\"11864064\"]\n  7 -> 39 [size =\"11864064\"]\n  8 [size=\"123809280\", alpha=\"0.05\", expect_size=\"49523712\"] \n  8 -> 25 [size =\"49523712\"]\n  8 -> 28 [size =\"49523712\"]\n  8 -> 29 [size =\"49523712\"]\n  8 -> 30 [size =\"49523712\"]\n  8 -> 32 [size =\"49523712\"]\n  8 -> 34 [size =\"49523712\"]\n  8 -> 39 [size =\"49523712\"]\n  8 -> 40 [size =\"49523712\"]\n  9 [size=\"104304640\", alpha=\"0.03\", expect_size=\"41721856\"] \n  9 -> 25 [size =\"41721856\"]\n  9 -> 27 [size =\"41721856\"]\n  9 -> 28 [size =\"41721856\"]\n  9 -> 32 [size =\"41721856\"]\n  9 -> 32 [size =\"41721856\"]\n  10 [size=\"82933760\", alpha=\"0.05\", expect_size=\"33173504\"] \n  10 -> 25 [size =\"33173504\"]\n  10 -> 29 [size =\"33173504\"]\n  10 -> 31 [size =\"33173504\"]\n  10 -> 32 [size =\"33173504\"]\n  10 -> 34 [size =\"33173504\"]\n  10 -> 35 [size =\"33173504\"]\n  10 -> 39 [size =\"33173504\"]\n  10 -> 40 [size =\"33173504\"]\n  11 [size=\"38945280\", alpha=\"0.08\", expect_size=\"15578112\"] \n  11 -> 32 [size =\"15578112\"]\n  11 -> 34 [size =\"15578112\"]\n  11 -> 40 [size =\"15578112\"]\n  12 [size=\"91281920\", alpha=\"0.08\", expect_size=\"36512768\"] \n  12 -> 32 [size =\"36512768\"]\n  12 -> 34 [size =\"36512768\"]\n  12 -> 35 [size =\"36512768\"]\n  12 -> 36 [size =\"36512768\"]\n  12 -> 40 [size =\"36512768\"]\n  13 [size=\"22799360\", alpha=\"0.00\", expect_size=\"9119744\"] \n  13 -> 25 [size =\"9119744\"]\n  13 -> 32 [size =\"9119744\"]\n  13 -> 34 [size =\"9119744\"]\n  13 -> 35 [size =\"9119744\"]\n  13 -> 37 [size =\"9119744\"]\n  14 [size=\"63708160\", alpha=\"0.02\", expect_size=\"25483264\"] \n  14 -> 26 [size =\"25483264\"]\n  14 -> 27 [size =\"25483264\"]\n  14 -> 28 [size =\"25483264\"]\n  14 -> 29 [size =\"25483264\"]\n  14 -> 33 [size =\"25483264\"]\n  14 -> 34 [size =\"25483264\"]\n  14 -> 35 [size =\"25483264\"]\n  14 -> 36 [size =\"25483264\"]\n  14 -> 38 [size =\"25483264\"]\n  15 [size=\"50915840\", alpha=\"0.16\", expect_size=\"20366336\"] \n  15 -> 28 [size =\"20366336\"]\n  15 -> 33 [size =\"20366336\"]\n  15 -> 35 [size =\"20366336\"]\n  15 -> 36 [size =\"20366336\"]\n  15 -> 39 [size =\"20366336\"]\n  15 -> 40 [size =\"20366336\"]\n  16 [size=\"75632640\", alpha=\"0.08\", expect_size=\"30253056\"] \n  16 -> 25 [size =\"30253056\"]\n  16 -> 26 [size =\"30253056\"]\n  16 -> 28 [size =\"30253056\"]\n  16 -> 33 [size =\"30253056\"]\n  16 -> 34 [size =\"30253056\"]\n  16 -> 35 [size =\"30253056\"]\n  16 -> 37 [size =\"30253056\"]\n  16 -> 39 [size =\"30253056\"]\n  16 -> 40 [size =\"30253056\"]\n  17 [size=\"111792640\", alpha=\"0.13\", expect_size=\"44717056\"] \n  17 -> 26 [size =\"44717056\"]\n  17 -> 30 [size =\"44717056\"]\n  17 -> 31 [size =\"44717056\"]\n  17 -> 33 [size =\"44717056\"]\n  17 -> 35 [size =\"44717056\"]\n  18 [size=\"76244480\", alpha=\"0.19\", expect_size=\"30497792\"] \n  18 -> 29 [size =\"30497792\"]\n  18 -> 30 [size =\"30497792\"]\n  18 -> 31 [size =\"30497792\"]\n  18 -> 36 [size =\"30497792\"]\n  18 -> 40 [size =\"30497792\"]\n  19 [size=\"103805440\", alpha=\"0.11\", expect_size=\"41522176\"] \n  19 -> 29 [size =\"41522176\"]\n  19 -> 30 [size =\"41522176\"]\n  19 -> 31 [size =\"41522176\"]\n  19 -> 34 [size =\"41522176\"]\n  19 -> 36 [size =\"41522176\"]\n  19 -> 40 [size =\"41522176\"]\n  20 [size=\"124234240\", alpha=\"0.10\", expect_size=\"49693696\"] \n  20 -> 30 [size =\"49693696\"]\n  20 -> 34 [size =\"49693696\"]\n  21 [size=\"34362880\", alpha=\"0.01\", expect_size=\"13745152\"] \n  21 -> 25 [size =\"13745152\"]\n  21 -> 30 [size =\"13745152\"]\n  21 -> 31 [size =\"13745152\"]\n  21 -> 33 [size =\"13745152\"]\n  21 -> 37 [size =\"13745152\"]\n  22 [size=\"79127040\", alpha=\"0.10\", expect_size=\"31650816\"] \n  22 -> 30 [size =\"31650816\"]\n  22 -> 34 [size =\"31650816\"]\n  22 -> 35 [size =\"31650816\"]\n  22 -> 36 [size =\"31650816\"]\n  22 -> 37 [size =\"31650816\"]\n  22 -> 40 [size =\"31650816\"]\n  23 [size=\"124787200\", alpha=\"0.08\", expect_size=\"49914880\"] \n  23 -> 25 [size =\"49914880\"]\n  23 -> 29 [size =\"49914880\"]\n  23 -> 33 [size =\"49914880\"]\n  23 -> 35 [size =\"49914880\"]\n  24 [size=\"126095360\", alpha=\"0.12\", expect_size=\"50438144\"] \n  24 -> 31 [size =\"50438144\"]\n  24 -> 33 [size =\"50438144\"]\n  24 -> 35 [size =\"50438144\"]\n  25 [size=\"19422720\", alpha=\"0.15\", expect_size=\"7769088\"] \n  26 [size=\"114178560\", alpha=\"0.15\", expect_size=\"45671424\"] \n  27 [size=\"45649920\", alpha=\"0.18\", expect_size=\"18259968\"] \n  28 [size=\"119508480\", alpha=\"0.01\", expect_size=\"47803392\"] \n  29 [size=\"116531200\", alpha=\"0.18\", expect_size=\"46612480\"] \n  30 [size=\"62919680\", alpha=\"0.07\", expect_size=\"25167872\"] \n  31 [size=\"124165120\", alpha=\"0.01\", expect_size=\"49666048\"] \n  32 [size=\"13432320\", alpha=\"0.08\", expect_size=\"5372928\"] \n  33 [size=\"71818240\", alpha=\"0.17\", expect_size=\"28727296\"] \n  34 [size=\"118361600\", alpha=\"0.14\", expect_size=\"47344640\"] \n  35 [size=\"70881280\", alpha=\"0.18\", expect_size=\"28352512\"] \n  36 [size=\"38504960\", alpha=\"0.12\", expect_size=\"15401984\"] \n  37 [size=\"127270400\", alpha=\"0.03\", expect_size=\"50908160\"] \n  38 [size=\"117798400\", alpha=\"0.05\", expect_size=\"47119360\"] \n  39 [size=\"120796160\", alpha=\"0.02\", expect_size=\"48318464\"] \n  40 [size=\"109496320\", alpha=\"0.18\", expect_size=\"43798528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107048960\", alpha=\"0.04\", expect_size=\"32114688\"] \n  1 -> 8 [size =\"32114688\"]\n  2 [size=\"86405120\", alpha=\"0.02\", expect_size=\"25921536\"] \n  2 -> 4 [size =\"25921536\"]\n  2 -> 5 [size =\"25921536\"]\n  2 -> 6 [size =\"25921536\"]\n  3 [size=\"63979520\", alpha=\"0.08\", expect_size=\"19193856\"] \n  3 -> 4 [size =\"19193856\"]\n  3 -> 5 [size =\"19193856\"]\n  3 -> 7 [size =\"19193856\"]\n  3 -> 9 [size =\"19193856\"]\n  3 -> 10 [size =\"19193856\"]\n  3 -> 11 [size =\"19193856\"]\n  4 [size=\"79619413\", alpha=\"0.13\", expect_size=\"23885824\"] \n  4 -> 12 [size =\"23885824\"]\n  5 [size=\"66300587\", alpha=\"0.03\", expect_size=\"19890176\"] \n  5 -> 14 [size =\"19890176\"]\n  6 [size=\"121879893\", alpha=\"0.11\", expect_size=\"36563968\"] \n  6 -> 12 [size =\"36563968\"]\n  6 -> 15 [size =\"36563968\"]\n  6 -> 17 [size =\"36563968\"]\n  7 [size=\"35000320\", alpha=\"0.01\", expect_size=\"10500096\"] \n  7 -> 14 [size =\"10500096\"]\n  8 [size=\"48274773\", alpha=\"0.07\", expect_size=\"14482432\"] \n  8 -> 12 [size =\"14482432\"]\n  8 -> 13 [size =\"14482432\"]\n  8 -> 14 [size =\"14482432\"]\n  8 -> 15 [size =\"14482432\"]\n  8 -> 17 [size =\"14482432\"]\n  9 [size=\"60426240\", alpha=\"0.19\", expect_size=\"18127872\"] \n  9 -> 14 [size =\"18127872\"]\n  9 -> 16 [size =\"18127872\"]\n  10 [size=\"101328213\", alpha=\"0.06\", expect_size=\"30398464\"] \n  10 -> 15 [size =\"30398464\"]\n  10 -> 16 [size =\"30398464\"]\n  11 [size=\"53807787\", alpha=\"0.05\", expect_size=\"16142336\"] \n  12 [size=\"82213547\", alpha=\"0.10\", expect_size=\"24664064\"] \n  12 -> 18 [size =\"24664064\"]\n  13 [size=\"101068800\", alpha=\"0.19\", expect_size=\"30320640\"] \n  13 -> 18 [size =\"30320640\"]\n  13 -> 19 [size =\"30320640\"]\n  14 [size=\"166400000\", alpha=\"0.03\", expect_size=\"49920000\"] \n  14 -> 18 [size =\"49920000\"]\n  14 -> 21 [size =\"49920000\"]\n  15 [size=\"110626133\", alpha=\"0.05\", expect_size=\"33187840\"] \n  15 -> 19 [size =\"33187840\"]\n  15 -> 21 [size =\"33187840\"]\n  16 [size=\"131792213\", alpha=\"0.03\", expect_size=\"39537664\"] \n  16 -> 19 [size =\"39537664\"]\n  16 -> 20 [size =\"39537664\"]\n  16 -> 21 [size =\"39537664\"]\n  17 [size=\"58565973\", alpha=\"0.03\", expect_size=\"17569792\"] \n  17 -> 18 [size =\"17569792\"]\n  17 -> 20 [size =\"17569792\"]\n  18 [size=\"68795733\", alpha=\"0.04\", expect_size=\"20638720\"] \n  18 -> 24 [size =\"20638720\"]\n  18 -> 28 [size =\"20638720\"]\n  19 [size=\"120835413\", alpha=\"0.02\", expect_size=\"36250624\"] \n  19 -> 23 [size =\"36250624\"]\n  19 -> 24 [size =\"36250624\"]\n  19 -> 25 [size =\"36250624\"]\n  19 -> 26 [size =\"36250624\"]\n  19 -> 27 [size =\"36250624\"]\n  19 -> 29 [size =\"36250624\"]\n  20 [size=\"115609600\", alpha=\"0.17\", expect_size=\"34682880\"] \n  20 -> 22 [size =\"34682880\"]\n  20 -> 23 [size =\"34682880\"]\n  20 -> 26 [size =\"34682880\"]\n  20 -> 27 [size =\"34682880\"]\n  20 -> 28 [size =\"34682880\"]\n  21 [size=\"159170560\", alpha=\"0.04\", expect_size=\"47751168\"] \n  21 -> 24 [size =\"47751168\"]\n  21 -> 27 [size =\"47751168\"]\n  21 -> 28 [size =\"47751168\"]\n  22 [size=\"37847040\", alpha=\"0.19\", expect_size=\"11354112\"] \n  23 [size=\"117565440\", alpha=\"0.01\", expect_size=\"35269632\"] \n  23 -> 32 [size =\"35269632\"]\n  23 -> 33 [size =\"35269632\"]\n  24 [size=\"110387200\", alpha=\"0.10\", expect_size=\"33116160\"] \n  24 -> 30 [size =\"33116160\"]\n  24 -> 31 [size =\"33116160\"]\n  24 -> 32 [size =\"33116160\"]\n  25 [size=\"130542933\", alpha=\"0.06\", expect_size=\"39162880\"] \n  25 -> 30 [size =\"39162880\"]\n  26 [size=\"171151360\", alpha=\"0.15\", expect_size=\"51345408\"] \n  26 -> 33 [size =\"51345408\"]\n  27 [size=\"35136853\", alpha=\"0.06\", expect_size=\"10541056\"] \n  27 -> 31 [size =\"10541056\"]\n  28 [size=\"60269227\", alpha=\"0.01\", expect_size=\"18080768\"] \n  28 -> 31 [size =\"18080768\"]\n  28 -> 32 [size =\"18080768\"]\n  29 [size=\"87818240\", alpha=\"0.01\", expect_size=\"26345472\"] \n  30 [size=\"100184747\", alpha=\"0.12\", expect_size=\"30055424\"] \n  30 -> 35 [size =\"30055424\"]\n  30 -> 37 [size =\"30055424\"]\n  30 -> 40 [size =\"30055424\"]\n  31 [size=\"76281173\", alpha=\"0.08\", expect_size=\"22884352\"] \n  31 -> 34 [size =\"22884352\"]\n  31 -> 35 [size =\"22884352\"]\n  31 -> 36 [size =\"22884352\"]\n  31 -> 37 [size =\"22884352\"]\n  31 -> 38 [size =\"22884352\"]\n  31 -> 40 [size =\"22884352\"]\n  32 [size=\"105687040\", alpha=\"0.12\", expect_size=\"31706112\"] \n  32 -> 36 [size =\"31706112\"]\n  32 -> 38 [size =\"31706112\"]\n  32 -> 39 [size =\"31706112\"]\n  33 [size=\"100044800\", alpha=\"0.06\", expect_size=\"30013440\"] \n  33 -> 35 [size =\"30013440\"]\n  33 -> 37 [size =\"30013440\"]\n  34 [size=\"105861120\", alpha=\"0.20\", expect_size=\"31758336\"] \n  35 [size=\"27992747\", alpha=\"0.05\", expect_size=\"8397824\"] \n  36 [size=\"72553813\", alpha=\"0.05\", expect_size=\"21766144\"] \n  37 [size=\"29375147\", alpha=\"0.10\", expect_size=\"8812544\"] \n  38 [size=\"73267200\", alpha=\"0.02\", expect_size=\"21980160\"] \n  39 [size=\"77745493\", alpha=\"0.07\", expect_size=\"23323648\"] \n  40 [size=\"85760000\", alpha=\"0.04\", expect_size=\"25728000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22604800\", alpha=\"0.07\", expect_size=\"9041920\"] \n  1 -> 8 [size =\"9041920\"]\n  1 -> 11 [size =\"9041920\"]\n  2 [size=\"28610560\", alpha=\"0.10\", expect_size=\"11444224\"] \n  2 -> 7 [size =\"11444224\"]\n  2 -> 10 [size =\"11444224\"]\n  3 [size=\"120872960\", alpha=\"0.12\", expect_size=\"48349184\"] \n  3 -> 7 [size =\"48349184\"]\n  3 -> 10 [size =\"48349184\"]\n  4 [size=\"123258880\", alpha=\"0.03\", expect_size=\"49303552\"] \n  4 -> 6 [size =\"49303552\"]\n  4 -> 9 [size =\"49303552\"]\n  4 -> 10 [size =\"49303552\"]\n  4 -> 11 [size =\"49303552\"]\n  5 [size=\"47633920\", alpha=\"0.12\", expect_size=\"19053568\"] \n  5 -> 6 [size =\"19053568\"]\n  5 -> 8 [size =\"19053568\"]\n  5 -> 9 [size =\"19053568\"]\n  5 -> 11 [size =\"19053568\"]\n  6 [size=\"94479360\", alpha=\"0.14\", expect_size=\"37791744\"] \n  6 -> 13 [size =\"37791744\"]\n  6 -> 17 [size =\"37791744\"]\n  7 [size=\"96089600\", alpha=\"0.07\", expect_size=\"38435840\"] \n  7 -> 12 [size =\"38435840\"]\n  7 -> 14 [size =\"38435840\"]\n  7 -> 16 [size =\"38435840\"]\n  8 [size=\"99502080\", alpha=\"0.13\", expect_size=\"39800832\"] \n  8 -> 15 [size =\"39800832\"]\n  8 -> 17 [size =\"39800832\"]\n  9 [size=\"94248960\", alpha=\"0.09\", expect_size=\"37699584\"] \n  10 [size=\"72332800\", alpha=\"0.13\", expect_size=\"28933120\"] \n  10 -> 14 [size =\"28933120\"]\n  10 -> 17 [size =\"28933120\"]\n  11 [size=\"14807040\", alpha=\"0.09\", expect_size=\"5922816\"] \n  12 [size=\"58327040\", alpha=\"0.17\", expect_size=\"23330816\"] \n  12 -> 18 [size =\"23330816\"]\n  12 -> 20 [size =\"23330816\"]\n  12 -> 21 [size =\"23330816\"]\n  12 -> 23 [size =\"23330816\"]\n  13 [size=\"117155840\", alpha=\"0.19\", expect_size=\"46862336\"] \n  13 -> 18 [size =\"46862336\"]\n  13 -> 22 [size =\"46862336\"]\n  14 [size=\"67228160\", alpha=\"0.10\", expect_size=\"26891264\"] \n  14 -> 22 [size =\"26891264\"]\n  15 [size=\"83128320\", alpha=\"0.16\", expect_size=\"33251328\"] \n  15 -> 19 [size =\"33251328\"]\n  15 -> 22 [size =\"33251328\"]\n  16 [size=\"37058560\", alpha=\"0.02\", expect_size=\"14823424\"] \n  16 -> 18 [size =\"14823424\"]\n  16 -> 19 [size =\"14823424\"]\n  16 -> 20 [size =\"14823424\"]\n  17 [size=\"119406080\", alpha=\"0.02\", expect_size=\"47762432\"] \n  17 -> 20 [size =\"47762432\"]\n  17 -> 21 [size =\"47762432\"]\n  18 [size=\"44480000\", alpha=\"0.06\", expect_size=\"17792000\"] \n  18 -> 27 [size =\"17792000\"]\n  19 [size=\"120852480\", alpha=\"0.04\", expect_size=\"48340992\"] \n  19 -> 24 [size =\"48340992\"]\n  19 -> 27 [size =\"48340992\"]\n  19 -> 29 [size =\"48340992\"]\n  20 [size=\"53614080\", alpha=\"0.08\", expect_size=\"21445632\"] \n  20 -> 24 [size =\"21445632\"]\n  20 -> 26 [size =\"21445632\"]\n  21 [size=\"13614080\", alpha=\"0.14\", expect_size=\"5445632\"] \n  21 -> 28 [size =\"5445632\"]\n  22 [size=\"67397120\", alpha=\"0.03\", expect_size=\"26958848\"] \n  22 -> 25 [size =\"26958848\"]\n  22 -> 28 [size =\"26958848\"]\n  22 -> 29 [size =\"26958848\"]\n  23 [size=\"49131520\", alpha=\"0.10\", expect_size=\"19652608\"] \n  23 -> 24 [size =\"19652608\"]\n  23 -> 27 [size =\"19652608\"]\n  24 [size=\"46131200\", alpha=\"0.16\", expect_size=\"18452480\"] \n  24 -> 30 [size =\"18452480\"]\n  25 [size=\"102778880\", alpha=\"0.08\", expect_size=\"41111552\"] \n  25 -> 30 [size =\"41111552\"]\n  25 -> 33 [size =\"41111552\"]\n  25 -> 34 [size =\"41111552\"]\n  26 [size=\"79198720\", alpha=\"0.13\", expect_size=\"31679488\"] \n  26 -> 30 [size =\"31679488\"]\n  27 [size=\"92597760\", alpha=\"0.12\", expect_size=\"37039104\"] \n  28 [size=\"102333440\", alpha=\"0.06\", expect_size=\"40933376\"] \n  29 [size=\"19438080\", alpha=\"0.14\", expect_size=\"7775232\"] \n  29 -> 30 [size =\"7775232\"]\n  29 -> 31 [size =\"7775232\"]\n  29 -> 32 [size =\"7775232\"]\n  30 [size=\"41633280\", alpha=\"0.12\", expect_size=\"16653312\"] \n  30 -> 36 [size =\"16653312\"]\n  30 -> 39 [size =\"16653312\"]\n  31 [size=\"90588160\", alpha=\"0.10\", expect_size=\"36235264\"] \n  31 -> 35 [size =\"36235264\"]\n  31 -> 36 [size =\"36235264\"]\n  31 -> 37 [size =\"36235264\"]\n  31 -> 39 [size =\"36235264\"]\n  32 [size=\"57838080\", alpha=\"0.16\", expect_size=\"23135232\"] \n  32 -> 38 [size =\"23135232\"]\n  32 -> 39 [size =\"23135232\"]\n  33 [size=\"76848640\", alpha=\"0.20\", expect_size=\"30739456\"] \n  33 -> 37 [size =\"30739456\"]\n  33 -> 38 [size =\"30739456\"]\n  34 [size=\"19458560\", alpha=\"0.12\", expect_size=\"7783424\"] \n  35 [size=\"113784320\", alpha=\"0.17\", expect_size=\"45513728\"] \n  35 -> 40 [size =\"45513728\"]\n  36 [size=\"40463360\", alpha=\"0.06\", expect_size=\"16185344\"] \n  36 -> 40 [size =\"16185344\"]\n  37 [size=\"116797440\", alpha=\"0.12\", expect_size=\"46718976\"] \n  38 [size=\"71874560\", alpha=\"0.04\", expect_size=\"28749824\"] \n  39 [size=\"110056960\", alpha=\"0.14\", expect_size=\"44022784\"] \n  39 -> 40 [size =\"44022784\"]\n  40 [size=\"76556800\", alpha=\"0.11\", expect_size=\"30622720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64145920\", alpha=\"0.08\", expect_size=\"25658368\"] \n  1 -> 6 [size =\"25658368\"]\n  2 [size=\"125130240\", alpha=\"0.08\", expect_size=\"50052096\"] \n  2 -> 6 [size =\"50052096\"]\n  2 -> 7 [size =\"50052096\"]\n  3 [size=\"72606720\", alpha=\"0.15\", expect_size=\"29042688\"] \n  3 -> 5 [size =\"29042688\"]\n  4 [size=\"30046720\", alpha=\"0.07\", expect_size=\"12018688\"] \n  4 -> 6 [size =\"12018688\"]\n  5 [size=\"76080640\", alpha=\"0.08\", expect_size=\"30432256\"] \n  5 -> 9 [size =\"30432256\"]\n  6 [size=\"75560960\", alpha=\"0.14\", expect_size=\"30224384\"] \n  6 -> 8 [size =\"30224384\"]\n  6 -> 9 [size =\"30224384\"]\n  7 [size=\"65902080\", alpha=\"0.19\", expect_size=\"26360832\"] \n  7 -> 8 [size =\"26360832\"]\n  8 [size=\"118648320\", alpha=\"0.13\", expect_size=\"47459328\"] \n  8 -> 10 [size =\"47459328\"]\n  8 -> 11 [size =\"47459328\"]\n  8 -> 12 [size =\"47459328\"]\n  8 -> 13 [size =\"47459328\"]\n  9 [size=\"54615040\", alpha=\"0.12\", expect_size=\"21846016\"] \n  9 -> 10 [size =\"21846016\"]\n  9 -> 11 [size =\"21846016\"]\n  9 -> 13 [size =\"21846016\"]\n  10 [size=\"76208640\", alpha=\"0.20\", expect_size=\"30483456\"] \n  11 [size=\"21693440\", alpha=\"0.09\", expect_size=\"8677376\"] \n  11 -> 14 [size =\"8677376\"]\n  12 [size=\"66401280\", alpha=\"0.17\", expect_size=\"26560512\"] \n  13 [size=\"115056640\", alpha=\"0.15\", expect_size=\"46022656\"] \n  13 -> 14 [size =\"46022656\"]\n  13 -> 15 [size =\"46022656\"]\n  14 [size=\"85975040\", alpha=\"0.08\", expect_size=\"34390016\"] \n  14 -> 16 [size =\"34390016\"]\n  14 -> 17 [size =\"34390016\"]\n  15 [size=\"125703680\", alpha=\"0.04\", expect_size=\"50281472\"] \n  15 -> 17 [size =\"50281472\"]\n  16 [size=\"57159680\", alpha=\"0.17\", expect_size=\"22863872\"] \n  16 -> 18 [size =\"22863872\"]\n  16 -> 19 [size =\"22863872\"]\n  17 [size=\"21145600\", alpha=\"0.13\", expect_size=\"8458240\"] \n  17 -> 18 [size =\"8458240\"]\n  18 [size=\"17113600\", alpha=\"0.11\", expect_size=\"6845440\"] \n  18 -> 20 [size =\"6845440\"]\n  19 [size=\"93754880\", alpha=\"0.16\", expect_size=\"37501952\"] \n  20 [size=\"46108160\", alpha=\"0.14\", expect_size=\"18443264\"] \n  20 -> 21 [size =\"18443264\"]\n  20 -> 22 [size =\"18443264\"]\n  20 -> 23 [size =\"18443264\"]\n  21 [size=\"44062720\", alpha=\"0.20\", expect_size=\"17625088\"] \n  22 [size=\"95162880\", alpha=\"0.05\", expect_size=\"38065152\"] \n  22 -> 24 [size =\"38065152\"]\n  23 [size=\"78297600\", alpha=\"0.20\", expect_size=\"31319040\"] \n  23 -> 25 [size =\"31319040\"]\n  24 [size=\"51571200\", alpha=\"0.18\", expect_size=\"20628480\"] \n  24 -> 27 [size =\"20628480\"]\n  25 [size=\"96215040\", alpha=\"0.07\", expect_size=\"38486016\"] \n  25 -> 26 [size =\"38486016\"]\n  26 [size=\"121912320\", alpha=\"0.06\", expect_size=\"48764928\"] \n  26 -> 28 [size =\"48764928\"]\n  26 -> 30 [size =\"48764928\"]\n  27 [size=\"102525440\", alpha=\"0.14\", expect_size=\"41010176\"] \n  27 -> 28 [size =\"41010176\"]\n  27 -> 29 [size =\"41010176\"]\n  27 -> 30 [size =\"41010176\"]\n  27 -> 31 [size =\"41010176\"]\n  28 [size=\"59125760\", alpha=\"0.01\", expect_size=\"23650304\"] \n  28 -> 32 [size =\"23650304\"]\n  28 -> 33 [size =\"23650304\"]\n  29 [size=\"121244160\", alpha=\"0.14\", expect_size=\"48497664\"] \n  29 -> 33 [size =\"48497664\"]\n  30 [size=\"98101760\", alpha=\"0.18\", expect_size=\"39240704\"] \n  31 [size=\"60019200\", alpha=\"0.03\", expect_size=\"24007680\"] \n  31 -> 32 [size =\"24007680\"]\n  32 [size=\"58040320\", alpha=\"0.18\", expect_size=\"23216128\"] \n  32 -> 34 [size =\"23216128\"]\n  32 -> 35 [size =\"23216128\"]\n  32 -> 36 [size =\"23216128\"]\n  33 [size=\"86220800\", alpha=\"0.09\", expect_size=\"34488320\"] \n  34 [size=\"86100480\", alpha=\"0.13\", expect_size=\"34440192\"] \n  34 -> 37 [size =\"34440192\"]\n  34 -> 38 [size =\"34440192\"]\n  35 [size=\"74616320\", alpha=\"0.16\", expect_size=\"29846528\"] \n  35 -> 37 [size =\"29846528\"]\n  35 -> 38 [size =\"29846528\"]\n  36 [size=\"114746880\", alpha=\"0.07\", expect_size=\"45898752\"] \n  37 [size=\"33016320\", alpha=\"0.19\", expect_size=\"13206528\"] \n  37 -> 40 [size =\"13206528\"]\n  38 [size=\"118151680\", alpha=\"0.12\", expect_size=\"47260672\"] \n  38 -> 39 [size =\"47260672\"]\n  39 [size=\"121797120\", alpha=\"0.18\", expect_size=\"48718848\"] \n  40 [size=\"85468160\", alpha=\"0.10\", expect_size=\"34187264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24705707\", alpha=\"0.03\", expect_size=\"7411712\"] \n  1 -> 16 [size =\"7411712\"]\n  1 -> 17 [size =\"7411712\"]\n  2 [size=\"125603840\", alpha=\"0.13\", expect_size=\"37681152\"] \n  2 -> 17 [size =\"37681152\"]\n  2 -> 18 [size =\"37681152\"]\n  2 -> 22 [size =\"37681152\"]\n  3 [size=\"159208107\", alpha=\"0.10\", expect_size=\"47762432\"] \n  3 -> 21 [size =\"47762432\"]\n  4 [size=\"127477760\", alpha=\"0.19\", expect_size=\"38243328\"] \n  4 -> 16 [size =\"38243328\"]\n  4 -> 17 [size =\"38243328\"]\n  4 -> 20 [size =\"38243328\"]\n  5 [size=\"64023893\", alpha=\"0.05\", expect_size=\"19207168\"] \n  5 -> 18 [size =\"19207168\"]\n  5 -> 20 [size =\"19207168\"]\n  6 [size=\"139209387\", alpha=\"0.11\", expect_size=\"41762816\"] \n  6 -> 16 [size =\"41762816\"]\n  6 -> 21 [size =\"41762816\"]\n  7 [size=\"82193067\", alpha=\"0.04\", expect_size=\"24657920\"] \n  7 -> 17 [size =\"24657920\"]\n  7 -> 22 [size =\"24657920\"]\n  8 [size=\"33955840\", alpha=\"0.05\", expect_size=\"10186752\"] \n  9 [size=\"52534613\", alpha=\"0.03\", expect_size=\"15760384\"] \n  9 -> 16 [size =\"15760384\"]\n  9 -> 18 [size =\"15760384\"]\n  9 -> 20 [size =\"15760384\"]\n  9 -> 21 [size =\"15760384\"]\n  10 [size=\"164864000\", alpha=\"0.01\", expect_size=\"49459200\"] \n  10 -> 16 [size =\"49459200\"]\n  10 -> 17 [size =\"49459200\"]\n  10 -> 18 [size =\"49459200\"]\n  10 -> 19 [size =\"49459200\"]\n  10 -> 20 [size =\"49459200\"]\n  11 [size=\"95761067\", alpha=\"0.05\", expect_size=\"28728320\"] \n  11 -> 16 [size =\"28728320\"]\n  11 -> 18 [size =\"28728320\"]\n  11 -> 21 [size =\"28728320\"]\n  12 [size=\"122828800\", alpha=\"0.01\", expect_size=\"36848640\"] \n  12 -> 16 [size =\"36848640\"]\n  12 -> 18 [size =\"36848640\"]\n  12 -> 19 [size =\"36848640\"]\n  12 -> 21 [size =\"36848640\"]\n  13 [size=\"64651947\", alpha=\"0.17\", expect_size=\"19395584\"] \n  13 -> 18 [size =\"19395584\"]\n  13 -> 19 [size =\"19395584\"]\n  13 -> 21 [size =\"19395584\"]\n  14 [size=\"141735253\", alpha=\"0.14\", expect_size=\"42520576\"] \n  14 -> 17 [size =\"42520576\"]\n  14 -> 19 [size =\"42520576\"]\n  14 -> 20 [size =\"42520576\"]\n  14 -> 22 [size =\"42520576\"]\n  15 [size=\"135826773\", alpha=\"0.14\", expect_size=\"40748032\"] \n  15 -> 17 [size =\"40748032\"]\n  16 [size=\"21299200\", alpha=\"0.15\", expect_size=\"6389760\"] \n  16 -> 23 [size =\"6389760\"]\n  16 -> 27 [size =\"6389760\"]\n  16 -> 33 [size =\"6389760\"]\n  16 -> 36 [size =\"6389760\"]\n  16 -> 39 [size =\"6389760\"]\n  17 [size=\"104430933\", alpha=\"0.18\", expect_size=\"31329280\"] \n  17 -> 25 [size =\"31329280\"]\n  17 -> 32 [size =\"31329280\"]\n  17 -> 34 [size =\"31329280\"]\n  17 -> 35 [size =\"31329280\"]\n  17 -> 37 [size =\"31329280\"]\n  17 -> 39 [size =\"31329280\"]\n  18 [size=\"139281067\", alpha=\"0.09\", expect_size=\"41784320\"] \n  18 -> 26 [size =\"41784320\"]\n  18 -> 32 [size =\"41784320\"]\n  18 -> 38 [size =\"41784320\"]\n  19 [size=\"19435520\", alpha=\"0.08\", expect_size=\"5830656\"] \n  19 -> 23 [size =\"5830656\"]\n  19 -> 24 [size =\"5830656\"]\n  19 -> 25 [size =\"5830656\"]\n  19 -> 28 [size =\"5830656\"]\n  19 -> 35 [size =\"5830656\"]\n  19 -> 36 [size =\"5830656\"]\n  19 -> 38 [size =\"5830656\"]\n  20 [size=\"45018453\", alpha=\"0.09\", expect_size=\"13505536\"] \n  20 -> 27 [size =\"13505536\"]\n  20 -> 29 [size =\"13505536\"]\n  20 -> 34 [size =\"13505536\"]\n  20 -> 36 [size =\"13505536\"]\n  20 -> 37 [size =\"13505536\"]\n  20 -> 39 [size =\"13505536\"]\n  21 [size=\"52114773\", alpha=\"0.12\", expect_size=\"15634432\"] \n  21 -> 23 [size =\"15634432\"]\n  21 -> 24 [size =\"15634432\"]\n  21 -> 26 [size =\"15634432\"]\n  21 -> 27 [size =\"15634432\"]\n  21 -> 31 [size =\"15634432\"]\n  21 -> 32 [size =\"15634432\"]\n  21 -> 34 [size =\"15634432\"]\n  21 -> 37 [size =\"15634432\"]\n  21 -> 38 [size =\"15634432\"]\n  21 -> 39 [size =\"15634432\"]\n  22 [size=\"92890453\", alpha=\"0.08\", expect_size=\"27867136\"] \n  22 -> 27 [size =\"27867136\"]\n  22 -> 30 [size =\"27867136\"]\n  22 -> 34 [size =\"27867136\"]\n  22 -> 36 [size =\"27867136\"]\n  23 [size=\"101611520\", alpha=\"0.02\", expect_size=\"30483456\"] \n  23 -> 40 [size =\"30483456\"]\n  24 [size=\"74379947\", alpha=\"0.10\", expect_size=\"22313984\"] \n  24 -> 40 [size =\"22313984\"]\n  25 [size=\"26835627\", alpha=\"0.04\", expect_size=\"8050688\"] \n  26 [size=\"133410133\", alpha=\"0.13\", expect_size=\"40023040\"] \n  27 [size=\"93562880\", alpha=\"0.11\", expect_size=\"28068864\"] \n  28 [size=\"78680747\", alpha=\"0.11\", expect_size=\"23604224\"] \n  29 [size=\"146230613\", alpha=\"0.15\", expect_size=\"43869184\"] \n  30 [size=\"51152213\", alpha=\"0.18\", expect_size=\"15345664\"] \n  31 [size=\"124361387\", alpha=\"0.11\", expect_size=\"37308416\"] \n  32 [size=\"58521600\", alpha=\"0.17\", expect_size=\"17556480\"] \n  33 [size=\"119043413\", alpha=\"0.10\", expect_size=\"35713024\"] \n  34 [size=\"133092693\", alpha=\"0.18\", expect_size=\"39927808\"] \n  35 [size=\"53384533\", alpha=\"0.01\", expect_size=\"16015360\"] \n  35 -> 40 [size =\"16015360\"]\n  36 [size=\"83756373\", alpha=\"0.05\", expect_size=\"25126912\"] \n  36 -> 40 [size =\"25126912\"]\n  37 [size=\"31371947\", alpha=\"0.20\", expect_size=\"9411584\"] \n  37 -> 40 [size =\"9411584\"]\n  38 [size=\"118231040\", alpha=\"0.10\", expect_size=\"35469312\"] \n  38 -> 40 [size =\"35469312\"]\n  39 [size=\"46243840\", alpha=\"0.00\", expect_size=\"13873152\"] \n  39 -> 40 [size =\"13873152\"]\n  40 [size=\"165048320\", alpha=\"0.14\", expect_size=\"49514496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84348928\", alpha=\"0.06\", expect_size=\"42174464\"] \n  1 -> 9 [size =\"42174464\"]\n  1 -> 10 [size =\"42174464\"]\n  1 -> 13 [size =\"42174464\"]\n  2 [size=\"97884160\", alpha=\"0.06\", expect_size=\"48942080\"] \n  2 -> 9 [size =\"48942080\"]\n  2 -> 10 [size =\"48942080\"]\n  2 -> 13 [size =\"48942080\"]\n  3 [size=\"39737344\", alpha=\"0.08\", expect_size=\"19868672\"] \n  3 -> 9 [size =\"19868672\"]\n  3 -> 10 [size =\"19868672\"]\n  3 -> 13 [size =\"19868672\"]\n  4 [size=\"26271744\", alpha=\"0.13\", expect_size=\"13135872\"] \n  4 -> 9 [size =\"13135872\"]\n  4 -> 10 [size =\"13135872\"]\n  5 [size=\"67762176\", alpha=\"0.13\", expect_size=\"33881088\"] \n  5 -> 9 [size =\"33881088\"]\n  5 -> 12 [size =\"33881088\"]\n  6 [size=\"88592384\", alpha=\"0.04\", expect_size=\"44296192\"] \n  7 [size=\"17592320\", alpha=\"0.03\", expect_size=\"8796160\"] \n  7 -> 10 [size =\"8796160\"]\n  8 [size=\"97431552\", alpha=\"0.08\", expect_size=\"48715776\"] \n  8 -> 10 [size =\"48715776\"]\n  8 -> 11 [size =\"48715776\"]\n  8 -> 13 [size =\"48715776\"]\n  9 [size=\"91047936\", alpha=\"0.18\", expect_size=\"45523968\"] \n  9 -> 14 [size =\"45523968\"]\n  9 -> 16 [size =\"45523968\"]\n  9 -> 17 [size =\"45523968\"]\n  10 [size=\"62959616\", alpha=\"0.11\", expect_size=\"31479808\"] \n  10 -> 14 [size =\"31479808\"]\n  10 -> 17 [size =\"31479808\"]\n  10 -> 18 [size =\"31479808\"]\n  11 [size=\"53118976\", alpha=\"0.19\", expect_size=\"26559488\"] \n  11 -> 14 [size =\"26559488\"]\n  11 -> 17 [size =\"26559488\"]\n  12 [size=\"81532928\", alpha=\"0.01\", expect_size=\"40766464\"] \n  12 -> 17 [size =\"40766464\"]\n  13 [size=\"14948352\", alpha=\"0.18\", expect_size=\"7474176\"] \n  13 -> 15 [size =\"7474176\"]\n  14 [size=\"51146752\", alpha=\"0.19\", expect_size=\"25573376\"] \n  14 -> 19 [size =\"25573376\"]\n  14 -> 20 [size =\"25573376\"]\n  14 -> 23 [size =\"25573376\"]\n  14 -> 24 [size =\"25573376\"]\n  14 -> 25 [size =\"25573376\"]\n  15 [size=\"19097600\", alpha=\"0.03\", expect_size=\"9548800\"] \n  15 -> 20 [size =\"9548800\"]\n  16 [size=\"79443968\", alpha=\"0.01\", expect_size=\"39721984\"] \n  16 -> 20 [size =\"39721984\"]\n  16 -> 21 [size =\"39721984\"]\n  16 -> 22 [size =\"39721984\"]\n  17 [size=\"96778240\", alpha=\"0.10\", expect_size=\"48389120\"] \n  17 -> 22 [size =\"48389120\"]\n  17 -> 23 [size =\"48389120\"]\n  18 [size=\"14921728\", alpha=\"0.02\", expect_size=\"7460864\"] \n  18 -> 20 [size =\"7460864\"]\n  18 -> 21 [size =\"7460864\"]\n  18 -> 22 [size =\"7460864\"]\n  18 -> 25 [size =\"7460864\"]\n  19 [size=\"52590592\", alpha=\"0.03\", expect_size=\"26295296\"] \n  19 -> 27 [size =\"26295296\"]\n  19 -> 28 [size =\"26295296\"]\n  19 -> 29 [size =\"26295296\"]\n  19 -> 30 [size =\"26295296\"]\n  20 [size=\"42029056\", alpha=\"0.13\", expect_size=\"21014528\"] \n  20 -> 29 [size =\"21014528\"]\n  21 [size=\"93515776\", alpha=\"0.17\", expect_size=\"46757888\"] \n  21 -> 27 [size =\"46757888\"]\n  21 -> 29 [size =\"46757888\"]\n  22 [size=\"89274368\", alpha=\"0.01\", expect_size=\"44637184\"] \n  22 -> 27 [size =\"44637184\"]\n  23 [size=\"94320640\", alpha=\"0.10\", expect_size=\"47160320\"] \n  23 -> 26 [size =\"47160320\"]\n  23 -> 28 [size =\"47160320\"]\n  23 -> 29 [size =\"47160320\"]\n  23 -> 30 [size =\"47160320\"]\n  24 [size=\"85993472\", alpha=\"0.03\", expect_size=\"42996736\"] \n  24 -> 26 [size =\"42996736\"]\n  24 -> 27 [size =\"42996736\"]\n  24 -> 28 [size =\"42996736\"]\n  25 [size=\"78993408\", alpha=\"0.08\", expect_size=\"39496704\"] \n  25 -> 28 [size =\"39496704\"]\n  25 -> 30 [size =\"39496704\"]\n  26 [size=\"92858368\", alpha=\"0.10\", expect_size=\"46429184\"] \n  26 -> 31 [size =\"46429184\"]\n  26 -> 32 [size =\"46429184\"]\n  26 -> 33 [size =\"46429184\"]\n  26 -> 35 [size =\"46429184\"]\n  27 [size=\"98269184\", alpha=\"0.13\", expect_size=\"49134592\"] \n  27 -> 31 [size =\"49134592\"]\n  27 -> 32 [size =\"49134592\"]\n  28 [size=\"52305920\", alpha=\"0.15\", expect_size=\"26152960\"] \n  28 -> 31 [size =\"26152960\"]\n  28 -> 34 [size =\"26152960\"]\n  29 [size=\"63793152\", alpha=\"0.13\", expect_size=\"31896576\"] \n  29 -> 32 [size =\"31896576\"]\n  29 -> 34 [size =\"31896576\"]\n  30 [size=\"79298560\", alpha=\"0.03\", expect_size=\"39649280\"] \n  30 -> 32 [size =\"39649280\"]\n  30 -> 33 [size =\"39649280\"]\n  30 -> 34 [size =\"39649280\"]\n  30 -> 35 [size =\"39649280\"]\n  30 -> 36 [size =\"39649280\"]\n  31 [size=\"43939840\", alpha=\"0.02\", expect_size=\"21969920\"] \n  31 -> 38 [size =\"21969920\"]\n  31 -> 40 [size =\"21969920\"]\n  32 [size=\"31578112\", alpha=\"0.16\", expect_size=\"15789056\"] \n  32 -> 37 [size =\"15789056\"]\n  32 -> 40 [size =\"15789056\"]\n  33 [size=\"35246080\", alpha=\"0.11\", expect_size=\"17623040\"] \n  33 -> 37 [size =\"17623040\"]\n  33 -> 40 [size =\"17623040\"]\n  34 [size=\"84189184\", alpha=\"0.14\", expect_size=\"42094592\"] \n  34 -> 37 [size =\"42094592\"]\n  34 -> 39 [size =\"42094592\"]\n  35 [size=\"99827712\", alpha=\"0.19\", expect_size=\"49913856\"] \n  35 -> 37 [size =\"49913856\"]\n  35 -> 39 [size =\"49913856\"]\n  36 [size=\"45064192\", alpha=\"0.19\", expect_size=\"22532096\"] \n  36 -> 40 [size =\"22532096\"]\n  37 [size=\"92379136\", alpha=\"0.17\", expect_size=\"46189568\"] \n  38 [size=\"60139520\", alpha=\"0.16\", expect_size=\"30069760\"] \n  39 [size=\"35291136\", alpha=\"0.04\", expect_size=\"17645568\"] \n  40 [size=\"98396160\", alpha=\"0.19\", expect_size=\"49198080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21039787\", alpha=\"0.19\", expect_size=\"6311936\"] \n  1 -> 6 [size =\"6311936\"]\n  1 -> 9 [size =\"6311936\"]\n  2 [size=\"162914987\", alpha=\"0.08\", expect_size=\"48874496\"] \n  2 -> 6 [size =\"48874496\"]\n  3 [size=\"150285653\", alpha=\"0.11\", expect_size=\"45085696\"] \n  3 -> 5 [size =\"45085696\"]\n  3 -> 7 [size =\"45085696\"]\n  3 -> 8 [size =\"45085696\"]\n  4 [size=\"103338667\", alpha=\"0.19\", expect_size=\"31001600\"] \n  4 -> 7 [size =\"31001600\"]\n  5 [size=\"75622400\", alpha=\"0.05\", expect_size=\"22686720\"] \n  6 [size=\"42188800\", alpha=\"0.01\", expect_size=\"12656640\"] \n  6 -> 10 [size =\"12656640\"]\n  6 -> 12 [size =\"12656640\"]\n  7 [size=\"77308587\", alpha=\"0.02\", expect_size=\"23192576\"] \n  7 -> 10 [size =\"23192576\"]\n  7 -> 12 [size =\"23192576\"]\n  7 -> 13 [size =\"23192576\"]\n  7 -> 15 [size =\"23192576\"]\n  8 [size=\"134277120\", alpha=\"0.05\", expect_size=\"40283136\"] \n  8 -> 10 [size =\"40283136\"]\n  8 -> 14 [size =\"40283136\"]\n  8 -> 15 [size =\"40283136\"]\n  9 [size=\"18053120\", alpha=\"0.12\", expect_size=\"5415936\"] \n  9 -> 11 [size =\"5415936\"]\n  9 -> 12 [size =\"5415936\"]\n  9 -> 13 [size =\"5415936\"]\n  9 -> 14 [size =\"5415936\"]\n  10 [size=\"63327573\", alpha=\"0.05\", expect_size=\"18998272\"] \n  10 -> 17 [size =\"18998272\"]\n  10 -> 20 [size =\"18998272\"]\n  11 [size=\"43578027\", alpha=\"0.14\", expect_size=\"13073408\"] \n  11 -> 17 [size =\"13073408\"]\n  11 -> 20 [size =\"13073408\"]\n  12 [size=\"35266560\", alpha=\"0.06\", expect_size=\"10579968\"] \n  12 -> 16 [size =\"10579968\"]\n  12 -> 18 [size =\"10579968\"]\n  12 -> 19 [size =\"10579968\"]\n  12 -> 20 [size =\"10579968\"]\n  13 [size=\"100720640\", alpha=\"0.02\", expect_size=\"30216192\"] \n  13 -> 16 [size =\"30216192\"]\n  13 -> 17 [size =\"30216192\"]\n  13 -> 18 [size =\"30216192\"]\n  14 [size=\"27392000\", alpha=\"0.13\", expect_size=\"8217600\"] \n  14 -> 16 [size =\"8217600\"]\n  14 -> 18 [size =\"8217600\"]\n  14 -> 19 [size =\"8217600\"]\n  15 [size=\"174417920\", alpha=\"0.08\", expect_size=\"52325376\"] \n  15 -> 16 [size =\"52325376\"]\n  16 [size=\"54640640\", alpha=\"0.01\", expect_size=\"16392192\"] \n  16 -> 21 [size =\"16392192\"]\n  16 -> 22 [size =\"16392192\"]\n  16 -> 25 [size =\"16392192\"]\n  17 [size=\"60992853\", alpha=\"0.12\", expect_size=\"18297856\"] \n  17 -> 22 [size =\"18297856\"]\n  17 -> 25 [size =\"18297856\"]\n  18 [size=\"78984533\", alpha=\"0.15\", expect_size=\"23695360\"] \n  18 -> 23 [size =\"23695360\"]\n  18 -> 24 [size =\"23695360\"]\n  19 [size=\"120712533\", alpha=\"0.10\", expect_size=\"36213760\"] \n  20 [size=\"59385173\", alpha=\"0.16\", expect_size=\"17815552\"] \n  20 -> 25 [size =\"17815552\"]\n  21 [size=\"95638187\", alpha=\"0.04\", expect_size=\"28691456\"] \n  21 -> 28 [size =\"28691456\"]\n  22 [size=\"49100800\", alpha=\"0.09\", expect_size=\"14730240\"] \n  22 -> 26 [size =\"14730240\"]\n  22 -> 29 [size =\"14730240\"]\n  22 -> 30 [size =\"14730240\"]\n  22 -> 31 [size =\"14730240\"]\n  23 [size=\"97068373\", alpha=\"0.12\", expect_size=\"29120512\"] \n  23 -> 31 [size =\"29120512\"]\n  24 [size=\"114735787\", alpha=\"0.05\", expect_size=\"34420736\"] \n  24 -> 26 [size =\"34420736\"]\n  24 -> 27 [size =\"34420736\"]\n  24 -> 31 [size =\"34420736\"]\n  25 [size=\"61989547\", alpha=\"0.06\", expect_size=\"18596864\"] \n  25 -> 26 [size =\"18596864\"]\n  26 [size=\"127904427\", alpha=\"0.10\", expect_size=\"38371328\"] \n  26 -> 32 [size =\"38371328\"]\n  26 -> 37 [size =\"38371328\"]\n  27 [size=\"138854400\", alpha=\"0.02\", expect_size=\"41656320\"] \n  27 -> 33 [size =\"41656320\"]\n  27 -> 35 [size =\"41656320\"]\n  27 -> 36 [size =\"41656320\"]\n  28 [size=\"76294827\", alpha=\"0.09\", expect_size=\"22888448\"] \n  28 -> 33 [size =\"22888448\"]\n  28 -> 34 [size =\"22888448\"]\n  28 -> 36 [size =\"22888448\"]\n  28 -> 37 [size =\"22888448\"]\n  29 [size=\"36031147\", alpha=\"0.15\", expect_size=\"10809344\"] \n  29 -> 32 [size =\"10809344\"]\n  29 -> 33 [size =\"10809344\"]\n  29 -> 35 [size =\"10809344\"]\n  29 -> 36 [size =\"10809344\"]\n  30 [size=\"111779840\", alpha=\"0.08\", expect_size=\"33533952\"] \n  30 -> 32 [size =\"33533952\"]\n  30 -> 37 [size =\"33533952\"]\n  31 [size=\"83503787\", alpha=\"0.03\", expect_size=\"25051136\"] \n  31 -> 32 [size =\"25051136\"]\n  31 -> 35 [size =\"25051136\"]\n  32 [size=\"112056320\", alpha=\"0.01\", expect_size=\"33616896\"] \n  32 -> 38 [size =\"33616896\"]\n  33 [size=\"28303360\", alpha=\"0.10\", expect_size=\"8491008\"] \n  33 -> 38 [size =\"8491008\"]\n  33 -> 40 [size =\"8491008\"]\n  34 [size=\"122347520\", alpha=\"0.20\", expect_size=\"36704256\"] \n  35 [size=\"165478400\", alpha=\"0.10\", expect_size=\"49643520\"] \n  35 -> 39 [size =\"49643520\"]\n  35 -> 40 [size =\"49643520\"]\n  36 [size=\"58559147\", alpha=\"0.04\", expect_size=\"17567744\"] \n  36 -> 39 [size =\"17567744\"]\n  36 -> 40 [size =\"17567744\"]\n  37 [size=\"140875093\", alpha=\"0.04\", expect_size=\"42262528\"] \n  37 -> 38 [size =\"42262528\"]\n  37 -> 39 [size =\"42262528\"]\n  38 [size=\"157692587\", alpha=\"0.12\", expect_size=\"47307776\"] \n  39 [size=\"68522667\", alpha=\"0.13\", expect_size=\"20556800\"] \n  40 [size=\"31228587\", alpha=\"0.20\", expect_size=\"9368576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37834240\", alpha=\"0.11\", expect_size=\"15133696\"] \n  1 -> 4 [size =\"15133696\"]\n  1 -> 5 [size =\"15133696\"]\n  2 [size=\"62520320\", alpha=\"0.10\", expect_size=\"25008128\"] \n  2 -> 5 [size =\"25008128\"]\n  2 -> 6 [size =\"25008128\"]\n  3 [size=\"112161280\", alpha=\"0.07\", expect_size=\"44864512\"] \n  4 [size=\"22848000\", alpha=\"0.15\", expect_size=\"9139200\"] \n  4 -> 7 [size =\"9139200\"]\n  4 -> 8 [size =\"9139200\"]\n  5 [size=\"118295040\", alpha=\"0.17\", expect_size=\"47318016\"] \n  5 -> 7 [size =\"47318016\"]\n  6 [size=\"52761600\", alpha=\"0.08\", expect_size=\"21104640\"] \n  7 [size=\"75681280\", alpha=\"0.11\", expect_size=\"30272512\"] \n  7 -> 9 [size =\"30272512\"]\n  7 -> 11 [size =\"30272512\"]\n  8 [size=\"79741440\", alpha=\"0.10\", expect_size=\"31896576\"] \n  8 -> 10 [size =\"31896576\"]\n  8 -> 11 [size =\"31896576\"]\n  9 [size=\"35358720\", alpha=\"0.09\", expect_size=\"14143488\"] \n  9 -> 13 [size =\"14143488\"]\n  10 [size=\"122245120\", alpha=\"0.19\", expect_size=\"48898048\"] \n  10 -> 12 [size =\"48898048\"]\n  11 [size=\"100206080\", alpha=\"0.17\", expect_size=\"40082432\"] \n  12 [size=\"47946240\", alpha=\"0.11\", expect_size=\"19178496\"] \n  12 -> 15 [size =\"19178496\"]\n  13 [size=\"106129920\", alpha=\"0.14\", expect_size=\"42451968\"] \n  13 -> 14 [size =\"42451968\"]\n  13 -> 15 [size =\"42451968\"]\n  14 [size=\"32240640\", alpha=\"0.03\", expect_size=\"12896256\"] \n  14 -> 16 [size =\"12896256\"]\n  14 -> 17 [size =\"12896256\"]\n  15 [size=\"122918400\", alpha=\"0.08\", expect_size=\"49167360\"] \n  15 -> 16 [size =\"49167360\"]\n  16 [size=\"103137280\", alpha=\"0.11\", expect_size=\"41254912\"] \n  16 -> 18 [size =\"41254912\"]\n  17 [size=\"33697280\", alpha=\"0.12\", expect_size=\"13478912\"] \n  17 -> 18 [size =\"13478912\"]\n  17 -> 19 [size =\"13478912\"]\n  17 -> 20 [size =\"13478912\"]\n  18 [size=\"99450880\", alpha=\"0.01\", expect_size=\"39780352\"] \n  18 -> 23 [size =\"39780352\"]\n  19 [size=\"41646080\", alpha=\"0.12\", expect_size=\"16658432\"] \n  19 -> 21 [size =\"16658432\"]\n  19 -> 23 [size =\"16658432\"]\n  20 [size=\"96110080\", alpha=\"0.01\", expect_size=\"38444032\"] \n  20 -> 21 [size =\"38444032\"]\n  20 -> 22 [size =\"38444032\"]\n  21 [size=\"91886080\", alpha=\"0.14\", expect_size=\"36754432\"] \n  21 -> 24 [size =\"36754432\"]\n  22 [size=\"73080320\", alpha=\"0.16\", expect_size=\"29232128\"] \n  22 -> 24 [size =\"29232128\"]\n  22 -> 25 [size =\"29232128\"]\n  23 [size=\"22876160\", alpha=\"0.14\", expect_size=\"9150464\"] \n  23 -> 25 [size =\"9150464\"]\n  24 [size=\"104179200\", alpha=\"0.14\", expect_size=\"41671680\"] \n  24 -> 26 [size =\"41671680\"]\n  24 -> 27 [size =\"41671680\"]\n  24 -> 28 [size =\"41671680\"]\n  25 [size=\"122263040\", alpha=\"0.12\", expect_size=\"48905216\"] \n  26 [size=\"52815360\", alpha=\"0.16\", expect_size=\"21126144\"] \n  26 -> 30 [size =\"21126144\"]\n  26 -> 31 [size =\"21126144\"]\n  27 [size=\"115248640\", alpha=\"0.11\", expect_size=\"46099456\"] \n  28 [size=\"70786560\", alpha=\"0.17\", expect_size=\"28314624\"] \n  28 -> 29 [size =\"28314624\"]\n  29 [size=\"76538880\", alpha=\"0.08\", expect_size=\"30615552\"] \n  29 -> 32 [size =\"30615552\"]\n  29 -> 34 [size =\"30615552\"]\n  30 [size=\"29939200\", alpha=\"0.16\", expect_size=\"11975680\"] \n  30 -> 32 [size =\"11975680\"]\n  31 [size=\"35845120\", alpha=\"0.20\", expect_size=\"14338048\"] \n  31 -> 33 [size =\"14338048\"]\n  31 -> 34 [size =\"14338048\"]\n  32 [size=\"118986240\", alpha=\"0.09\", expect_size=\"47594496\"] \n  32 -> 35 [size =\"47594496\"]\n  32 -> 36 [size =\"47594496\"]\n  32 -> 37 [size =\"47594496\"]\n  33 [size=\"92851200\", alpha=\"0.14\", expect_size=\"37140480\"] \n  34 [size=\"56488960\", alpha=\"0.02\", expect_size=\"22595584\"] \n  34 -> 35 [size =\"22595584\"]\n  34 -> 36 [size =\"22595584\"]\n  35 [size=\"19642880\", alpha=\"0.09\", expect_size=\"7857152\"] \n  36 [size=\"87505920\", alpha=\"0.12\", expect_size=\"35002368\"] \n  36 -> 38 [size =\"35002368\"]\n  36 -> 39 [size =\"35002368\"]\n  37 [size=\"63802880\", alpha=\"0.17\", expect_size=\"25521152\"] \n  37 -> 39 [size =\"25521152\"]\n  37 -> 40 [size =\"25521152\"]\n  38 [size=\"129075200\", alpha=\"0.18\", expect_size=\"51630080\"] \n  39 [size=\"114027520\", alpha=\"0.03\", expect_size=\"45611008\"] \n  40 [size=\"40911360\", alpha=\"0.02\", expect_size=\"16364544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50862080\", alpha=\"0.03\", expect_size=\"20344832\"] \n  1 -> 4 [size =\"20344832\"]\n  1 -> 5 [size =\"20344832\"]\n  1 -> 6 [size =\"20344832\"]\n  2 [size=\"127022080\", alpha=\"0.03\", expect_size=\"50808832\"] \n  2 -> 7 [size =\"50808832\"]\n  3 [size=\"20487680\", alpha=\"0.14\", expect_size=\"8195072\"] \n  3 -> 5 [size =\"8195072\"]\n  3 -> 6 [size =\"8195072\"]\n  4 [size=\"49351680\", alpha=\"0.10\", expect_size=\"19740672\"] \n  4 -> 8 [size =\"19740672\"]\n  4 -> 9 [size =\"19740672\"]\n  5 [size=\"24565760\", alpha=\"0.08\", expect_size=\"9826304\"] \n  6 [size=\"60500480\", alpha=\"0.18\", expect_size=\"24200192\"] \n  6 -> 8 [size =\"24200192\"]\n  7 [size=\"58368000\", alpha=\"0.19\", expect_size=\"23347200\"] \n  7 -> 9 [size =\"23347200\"]\n  8 [size=\"86865920\", alpha=\"0.09\", expect_size=\"34746368\"] \n  9 [size=\"35942400\", alpha=\"0.11\", expect_size=\"14376960\"] \n  9 -> 10 [size =\"14376960\"]\n  10 [size=\"72010240\", alpha=\"0.16\", expect_size=\"28804096\"] \n  10 -> 11 [size =\"28804096\"]\n  10 -> 12 [size =\"28804096\"]\n  10 -> 13 [size =\"28804096\"]\n  11 [size=\"24407040\", alpha=\"0.17\", expect_size=\"9762816\"] \n  11 -> 14 [size =\"9762816\"]\n  12 [size=\"42199040\", alpha=\"0.08\", expect_size=\"16879616\"] \n  12 -> 14 [size =\"16879616\"]\n  12 -> 16 [size =\"16879616\"]\n  12 -> 17 [size =\"16879616\"]\n  13 [size=\"57656320\", alpha=\"0.17\", expect_size=\"23062528\"] \n  13 -> 15 [size =\"23062528\"]\n  13 -> 16 [size =\"23062528\"]\n  13 -> 17 [size =\"23062528\"]\n  14 [size=\"22983680\", alpha=\"0.06\", expect_size=\"9193472\"] \n  14 -> 18 [size =\"9193472\"]\n  15 [size=\"79741440\", alpha=\"0.07\", expect_size=\"31896576\"] \n  16 [size=\"125780480\", alpha=\"0.11\", expect_size=\"50312192\"] \n  17 [size=\"115069440\", alpha=\"0.15\", expect_size=\"46027776\"] \n  18 [size=\"110069760\", alpha=\"0.06\", expect_size=\"44027904\"] \n  18 -> 19 [size =\"44027904\"]\n  19 [size=\"43466240\", alpha=\"0.11\", expect_size=\"17386496\"] \n  19 -> 20 [size =\"17386496\"]\n  19 -> 21 [size =\"17386496\"]\n  20 [size=\"108357120\", alpha=\"0.09\", expect_size=\"43342848\"] \n  20 -> 22 [size =\"43342848\"]\n  21 [size=\"84797440\", alpha=\"0.13\", expect_size=\"33918976\"] \n  21 -> 22 [size =\"33918976\"]\n  21 -> 23 [size =\"33918976\"]\n  22 [size=\"69547520\", alpha=\"0.16\", expect_size=\"27819008\"] \n  22 -> 24 [size =\"27819008\"]\n  22 -> 25 [size =\"27819008\"]\n  23 [size=\"117552640\", alpha=\"0.01\", expect_size=\"47021056\"] \n  23 -> 24 [size =\"47021056\"]\n  23 -> 25 [size =\"47021056\"]\n  24 [size=\"99729920\", alpha=\"0.11\", expect_size=\"39891968\"] \n  24 -> 26 [size =\"39891968\"]\n  24 -> 28 [size =\"39891968\"]\n  25 [size=\"18974720\", alpha=\"0.04\", expect_size=\"7589888\"] \n  25 -> 27 [size =\"7589888\"]\n  26 [size=\"61872640\", alpha=\"0.05\", expect_size=\"24749056\"] \n  26 -> 31 [size =\"24749056\"]\n  27 [size=\"124861440\", alpha=\"0.13\", expect_size=\"49944576\"] \n  27 -> 29 [size =\"49944576\"]\n  27 -> 30 [size =\"49944576\"]\n  27 -> 31 [size =\"49944576\"]\n  28 [size=\"97187840\", alpha=\"0.14\", expect_size=\"38875136\"] \n  28 -> 31 [size =\"38875136\"]\n  29 [size=\"15237120\", alpha=\"0.19\", expect_size=\"6094848\"] \n  29 -> 32 [size =\"6094848\"]\n  30 [size=\"79774720\", alpha=\"0.14\", expect_size=\"31909888\"] \n  30 -> 32 [size =\"31909888\"]\n  31 [size=\"130508800\", alpha=\"0.11\", expect_size=\"52203520\"] \n  32 [size=\"87234560\", alpha=\"0.12\", expect_size=\"34893824\"] \n  32 -> 33 [size =\"34893824\"]\n  32 -> 34 [size =\"34893824\"]\n  33 [size=\"63864320\", alpha=\"0.01\", expect_size=\"25545728\"] \n  34 [size=\"67783680\", alpha=\"0.12\", expect_size=\"27113472\"] \n  34 -> 35 [size =\"27113472\"]\n  34 -> 36 [size =\"27113472\"]\n  34 -> 37 [size =\"27113472\"]\n  35 [size=\"17272320\", alpha=\"0.14\", expect_size=\"6908928\"] \n  35 -> 38 [size =\"6908928\"]\n  35 -> 39 [size =\"6908928\"]\n  36 [size=\"41751040\", alpha=\"0.16\", expect_size=\"16700416\"] \n  36 -> 38 [size =\"16700416\"]\n  37 [size=\"70656000\", alpha=\"0.14\", expect_size=\"28262400\"] \n  37 -> 39 [size =\"28262400\"]\n  38 [size=\"31278080\", alpha=\"0.09\", expect_size=\"12511232\"] \n  38 -> 40 [size =\"12511232\"]\n  39 [size=\"115343360\", alpha=\"0.09\", expect_size=\"46137344\"] \n  39 -> 40 [size =\"46137344\"]\n  40 [size=\"109760000\", alpha=\"0.06\", expect_size=\"43904000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81691307\", alpha=\"0.08\", expect_size=\"24507392\"] \n  1 -> 29 [size =\"24507392\"]\n  1 -> 31 [size =\"24507392\"]\n  1 -> 32 [size =\"24507392\"]\n  1 -> 33 [size =\"24507392\"]\n  1 -> 38 [size =\"24507392\"]\n  1 -> 40 [size =\"24507392\"]\n  2 [size=\"83810987\", alpha=\"0.13\", expect_size=\"25143296\"] \n  2 -> 31 [size =\"25143296\"]\n  2 -> 32 [size =\"25143296\"]\n  2 -> 32 [size =\"25143296\"]\n  2 -> 37 [size =\"25143296\"]\n  2 -> 38 [size =\"25143296\"]\n  2 -> 40 [size =\"25143296\"]\n  3 [size=\"151251627\", alpha=\"0.10\", expect_size=\"45375488\"] \n  3 -> 29 [size =\"45375488\"]\n  3 -> 31 [size =\"45375488\"]\n  3 -> 32 [size =\"45375488\"]\n  3 -> 38 [size =\"45375488\"]\n  4 [size=\"78796800\", alpha=\"0.04\", expect_size=\"23639040\"] \n  4 -> 29 [size =\"23639040\"]\n  4 -> 31 [size =\"23639040\"]\n  4 -> 32 [size =\"23639040\"]\n  4 -> 34 [size =\"23639040\"]\n  4 -> 36 [size =\"23639040\"]\n  4 -> 37 [size =\"23639040\"]\n  4 -> 38 [size =\"23639040\"]\n  5 [size=\"141168640\", alpha=\"0.12\", expect_size=\"42350592\"] \n  5 -> 31 [size =\"42350592\"]\n  5 -> 32 [size =\"42350592\"]\n  5 -> 32 [size =\"42350592\"]\n  5 -> 33 [size =\"42350592\"]\n  5 -> 37 [size =\"42350592\"]\n  5 -> 38 [size =\"42350592\"]\n  6 [size=\"115336533\", alpha=\"0.08\", expect_size=\"34600960\"] \n  6 -> 31 [size =\"34600960\"]\n  6 -> 33 [size =\"34600960\"]\n  6 -> 37 [size =\"34600960\"]\n  6 -> 39 [size =\"34600960\"]\n  6 -> 40 [size =\"34600960\"]\n  7 [size=\"142100480\", alpha=\"0.09\", expect_size=\"42630144\"] \n  7 -> 31 [size =\"42630144\"]\n  7 -> 33 [size =\"42630144\"]\n  7 -> 37 [size =\"42630144\"]\n  7 -> 38 [size =\"42630144\"]\n  8 [size=\"154251947\", alpha=\"0.18\", expect_size=\"46275584\"] \n  8 -> 29 [size =\"46275584\"]\n  8 -> 30 [size =\"46275584\"]\n  8 -> 32 [size =\"46275584\"]\n  8 -> 38 [size =\"46275584\"]\n  9 [size=\"36563627\", alpha=\"0.13\", expect_size=\"10969088\"] \n  9 -> 29 [size =\"10969088\"]\n  9 -> 33 [size =\"10969088\"]\n  10 [size=\"112448853\", alpha=\"0.09\", expect_size=\"33734656\"] \n  10 -> 31 [size =\"33734656\"]\n  10 -> 33 [size =\"33734656\"]\n  10 -> 36 [size =\"33734656\"]\n  10 -> 37 [size =\"33734656\"]\n  10 -> 40 [size =\"33734656\"]\n  11 [size=\"149306027\", alpha=\"0.14\", expect_size=\"44791808\"] \n  11 -> 29 [size =\"44791808\"]\n  11 -> 31 [size =\"44791808\"]\n  11 -> 33 [size =\"44791808\"]\n  11 -> 38 [size =\"44791808\"]\n  11 -> 40 [size =\"44791808\"]\n  12 [size=\"52688213\", alpha=\"0.10\", expect_size=\"15806464\"] \n  12 -> 31 [size =\"15806464\"]\n  12 -> 33 [size =\"15806464\"]\n  12 -> 33 [size =\"15806464\"]\n  12 -> 37 [size =\"15806464\"]\n  12 -> 40 [size =\"15806464\"]\n  13 [size=\"152866133\", alpha=\"0.09\", expect_size=\"45859840\"] \n  13 -> 29 [size =\"45859840\"]\n  13 -> 31 [size =\"45859840\"]\n  13 -> 32 [size =\"45859840\"]\n  13 -> 33 [size =\"45859840\"]\n  13 -> 37 [size =\"45859840\"]\n  13 -> 40 [size =\"45859840\"]\n  14 [size=\"73386667\", alpha=\"0.19\", expect_size=\"22016000\"] \n  14 -> 31 [size =\"22016000\"]\n  14 -> 33 [size =\"22016000\"]\n  14 -> 37 [size =\"22016000\"]\n  14 -> 40 [size =\"22016000\"]\n  15 [size=\"107298133\", alpha=\"0.10\", expect_size=\"32189440\"] \n  15 -> 31 [size =\"32189440\"]\n  15 -> 33 [size =\"32189440\"]\n  15 -> 37 [size =\"32189440\"]\n  15 -> 40 [size =\"32189440\"]\n  16 [size=\"45970773\", alpha=\"0.04\", expect_size=\"13791232\"] \n  16 -> 33 [size =\"13791232\"]\n  16 -> 33 [size =\"13791232\"]\n  16 -> 38 [size =\"13791232\"]\n  17 [size=\"107301547\", alpha=\"0.16\", expect_size=\"32190464\"] \n  17 -> 29 [size =\"32190464\"]\n  17 -> 32 [size =\"32190464\"]\n  17 -> 33 [size =\"32190464\"]\n  18 [size=\"18677760\", alpha=\"0.16\", expect_size=\"5603328\"] \n  18 -> 32 [size =\"5603328\"]\n  18 -> 33 [size =\"5603328\"]\n  18 -> 33 [size =\"5603328\"]\n  18 -> 38 [size =\"5603328\"]\n  18 -> 40 [size =\"5603328\"]\n  19 [size=\"159283200\", alpha=\"0.20\", expect_size=\"47784960\"] \n  19 -> 32 [size =\"47784960\"]\n  19 -> 33 [size =\"47784960\"]\n  19 -> 34 [size =\"47784960\"]\n  19 -> 38 [size =\"47784960\"]\n  19 -> 40 [size =\"47784960\"]\n  20 [size=\"103161173\", alpha=\"0.06\", expect_size=\"30948352\"] \n  20 -> 29 [size =\"30948352\"]\n  20 -> 32 [size =\"30948352\"]\n  20 -> 34 [size =\"30948352\"]\n  20 -> 37 [size =\"30948352\"]\n  20 -> 38 [size =\"30948352\"]\n  20 -> 40 [size =\"30948352\"]\n  21 [size=\"172298240\", alpha=\"0.01\", expect_size=\"51689472\"] \n  21 -> 29 [size =\"51689472\"]\n  21 -> 32 [size =\"51689472\"]\n  21 -> 33 [size =\"51689472\"]\n  21 -> 34 [size =\"51689472\"]\n  21 -> 37 [size =\"51689472\"]\n  21 -> 38 [size =\"51689472\"]\n  21 -> 40 [size =\"51689472\"]\n  22 [size=\"125006507\", alpha=\"0.03\", expect_size=\"37501952\"] \n  22 -> 29 [size =\"37501952\"]\n  22 -> 32 [size =\"37501952\"]\n  22 -> 33 [size =\"37501952\"]\n  22 -> 37 [size =\"37501952\"]\n  22 -> 37 [size =\"37501952\"]\n  22 -> 39 [size =\"37501952\"]\n  22 -> 40 [size =\"37501952\"]\n  23 [size=\"43117227\", alpha=\"0.03\", expect_size=\"12935168\"] \n  23 -> 29 [size =\"12935168\"]\n  23 -> 32 [size =\"12935168\"]\n  23 -> 33 [size =\"12935168\"]\n  23 -> 34 [size =\"12935168\"]\n  23 -> 36 [size =\"12935168\"]\n  23 -> 37 [size =\"12935168\"]\n  24 [size=\"114452480\", alpha=\"0.11\", expect_size=\"34335744\"] \n  24 -> 29 [size =\"34335744\"]\n  24 -> 31 [size =\"34335744\"]\n  24 -> 32 [size =\"34335744\"]\n  24 -> 35 [size =\"34335744\"]\n  24 -> 37 [size =\"34335744\"]\n  24 -> 37 [size =\"34335744\"]\n  24 -> 38 [size =\"34335744\"]\n  24 -> 39 [size =\"34335744\"]\n  25 [size=\"107165013\", alpha=\"0.15\", expect_size=\"32149504\"] \n  25 -> 32 [size =\"32149504\"]\n  25 -> 33 [size =\"32149504\"]\n  25 -> 36 [size =\"32149504\"]\n  25 -> 37 [size =\"32149504\"]\n  25 -> 37 [size =\"32149504\"]\n  25 -> 38 [size =\"32149504\"]\n  25 -> 40 [size =\"32149504\"]\n  26 [size=\"29938347\", alpha=\"0.11\", expect_size=\"8981504\"] \n  26 -> 30 [size =\"8981504\"]\n  26 -> 32 [size =\"8981504\"]\n  26 -> 33 [size =\"8981504\"]\n  26 -> 34 [size =\"8981504\"]\n  26 -> 37 [size =\"8981504\"]\n  26 -> 38 [size =\"8981504\"]\n  26 -> 40 [size =\"8981504\"]\n  27 [size=\"62900907\", alpha=\"0.03\", expect_size=\"18870272\"] \n  27 -> 29 [size =\"18870272\"]\n  27 -> 32 [size =\"18870272\"]\n  27 -> 33 [size =\"18870272\"]\n  27 -> 37 [size =\"18870272\"]\n  27 -> 37 [size =\"18870272\"]\n  27 -> 40 [size =\"18870272\"]\n  28 [size=\"27805013\", alpha=\"0.12\", expect_size=\"8341504\"] \n  28 -> 31 [size =\"8341504\"]\n  28 -> 32 [size =\"8341504\"]\n  28 -> 33 [size =\"8341504\"]\n  28 -> 34 [size =\"8341504\"]\n  28 -> 37 [size =\"8341504\"]\n  29 [size=\"152169813\", alpha=\"0.03\", expect_size=\"45650944\"] \n  30 [size=\"148988587\", alpha=\"0.07\", expect_size=\"44696576\"] \n  31 [size=\"38638933\", alpha=\"0.07\", expect_size=\"11591680\"] \n  32 [size=\"42622293\", alpha=\"0.12\", expect_size=\"12786688\"] \n  33 [size=\"69990400\", alpha=\"0.15\", expect_size=\"20997120\"] \n  34 [size=\"97232213\", alpha=\"0.04\", expect_size=\"29169664\"] \n  35 [size=\"28385280\", alpha=\"0.05\", expect_size=\"8515584\"] \n  36 [size=\"144431787\", alpha=\"0.09\", expect_size=\"43329536\"] \n  37 [size=\"71372800\", alpha=\"0.05\", expect_size=\"21411840\"] \n  38 [size=\"91122347\", alpha=\"0.00\", expect_size=\"27336704\"] \n  39 [size=\"25879893\", alpha=\"0.14\", expect_size=\"7763968\"] \n  40 [size=\"52029440\", alpha=\"0.19\", expect_size=\"15608832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48476160\", alpha=\"0.07\", expect_size=\"24238080\"] \n  1 -> 20 [size =\"24238080\"]\n  1 -> 22 [size =\"24238080\"]\n  1 -> 24 [size =\"24238080\"]\n  1 -> 25 [size =\"24238080\"]\n  1 -> 26 [size =\"24238080\"]\n  1 -> 27 [size =\"24238080\"]\n  1 -> 29 [size =\"24238080\"]\n  1 -> 32 [size =\"24238080\"]\n  1 -> 33 [size =\"24238080\"]\n  1 -> 34 [size =\"24238080\"]\n  1 -> 35 [size =\"24238080\"]\n  1 -> 37 [size =\"24238080\"]\n  2 [size=\"58169344\", alpha=\"0.19\", expect_size=\"29084672\"] \n  2 -> 24 [size =\"29084672\"]\n  2 -> 25 [size =\"29084672\"]\n  2 -> 28 [size =\"29084672\"]\n  2 -> 31 [size =\"29084672\"]\n  2 -> 33 [size =\"29084672\"]\n  2 -> 34 [size =\"29084672\"]\n  2 -> 35 [size =\"29084672\"]\n  2 -> 38 [size =\"29084672\"]\n  3 [size=\"71589888\", alpha=\"0.14\", expect_size=\"35794944\"] \n  3 -> 20 [size =\"35794944\"]\n  3 -> 21 [size =\"35794944\"]\n  3 -> 24 [size =\"35794944\"]\n  3 -> 25 [size =\"35794944\"]\n  3 -> 28 [size =\"35794944\"]\n  3 -> 29 [size =\"35794944\"]\n  3 -> 31 [size =\"35794944\"]\n  3 -> 33 [size =\"35794944\"]\n  3 -> 34 [size =\"35794944\"]\n  3 -> 35 [size =\"35794944\"]\n  3 -> 36 [size =\"35794944\"]\n  3 -> 38 [size =\"35794944\"]\n  4 [size=\"39514112\", alpha=\"0.05\", expect_size=\"19757056\"] \n  4 -> 20 [size =\"19757056\"]\n  4 -> 21 [size =\"19757056\"]\n  4 -> 22 [size =\"19757056\"]\n  4 -> 23 [size =\"19757056\"]\n  4 -> 24 [size =\"19757056\"]\n  4 -> 25 [size =\"19757056\"]\n  4 -> 27 [size =\"19757056\"]\n  4 -> 29 [size =\"19757056\"]\n  4 -> 33 [size =\"19757056\"]\n  4 -> 35 [size =\"19757056\"]\n  4 -> 38 [size =\"19757056\"]\n  4 -> 38 [size =\"19757056\"]\n  5 [size=\"103018496\", alpha=\"0.13\", expect_size=\"51509248\"] \n  5 -> 24 [size =\"51509248\"]\n  5 -> 25 [size =\"51509248\"]\n  5 -> 27 [size =\"51509248\"]\n  5 -> 29 [size =\"51509248\"]\n  5 -> 33 [size =\"51509248\"]\n  5 -> 34 [size =\"51509248\"]\n  5 -> 35 [size =\"51509248\"]\n  5 -> 37 [size =\"51509248\"]\n  5 -> 38 [size =\"51509248\"]\n  6 [size=\"19369984\", alpha=\"0.09\", expect_size=\"9684992\"] \n  6 -> 23 [size =\"9684992\"]\n  6 -> 24 [size =\"9684992\"]\n  6 -> 25 [size =\"9684992\"]\n  6 -> 26 [size =\"9684992\"]\n  6 -> 27 [size =\"9684992\"]\n  6 -> 29 [size =\"9684992\"]\n  6 -> 31 [size =\"9684992\"]\n  6 -> 34 [size =\"9684992\"]\n  6 -> 35 [size =\"9684992\"]\n  6 -> 38 [size =\"9684992\"]\n  7 [size=\"75061248\", alpha=\"0.12\", expect_size=\"37530624\"] \n  7 -> 20 [size =\"37530624\"]\n  7 -> 22 [size =\"37530624\"]\n  7 -> 25 [size =\"37530624\"]\n  7 -> 26 [size =\"37530624\"]\n  7 -> 28 [size =\"37530624\"]\n  7 -> 29 [size =\"37530624\"]\n  7 -> 32 [size =\"37530624\"]\n  7 -> 34 [size =\"37530624\"]\n  7 -> 35 [size =\"37530624\"]\n  8 [size=\"103262208\", alpha=\"0.11\", expect_size=\"51631104\"] \n  8 -> 20 [size =\"51631104\"]\n  8 -> 22 [size =\"51631104\"]\n  8 -> 25 [size =\"51631104\"]\n  8 -> 27 [size =\"51631104\"]\n  8 -> 28 [size =\"51631104\"]\n  8 -> 29 [size =\"51631104\"]\n  8 -> 35 [size =\"51631104\"]\n  8 -> 38 [size =\"51631104\"]\n  9 [size=\"19154944\", alpha=\"0.15\", expect_size=\"9577472\"] \n  9 -> 22 [size =\"9577472\"]\n  9 -> 23 [size =\"9577472\"]\n  9 -> 24 [size =\"9577472\"]\n  9 -> 25 [size =\"9577472\"]\n  9 -> 27 [size =\"9577472\"]\n  9 -> 28 [size =\"9577472\"]\n  9 -> 29 [size =\"9577472\"]\n  9 -> 31 [size =\"9577472\"]\n  9 -> 32 [size =\"9577472\"]\n  9 -> 33 [size =\"9577472\"]\n  9 -> 35 [size =\"9577472\"]\n  9 -> 38 [size =\"9577472\"]\n  10 [size=\"63733760\", alpha=\"0.16\", expect_size=\"31866880\"] \n  10 -> 20 [size =\"31866880\"]\n  10 -> 22 [size =\"31866880\"]\n  10 -> 24 [size =\"31866880\"]\n  10 -> 27 [size =\"31866880\"]\n  10 -> 27 [size =\"31866880\"]\n  10 -> 28 [size =\"31866880\"]\n  10 -> 29 [size =\"31866880\"]\n  10 -> 30 [size =\"31866880\"]\n  10 -> 33 [size =\"31866880\"]\n  10 -> 34 [size =\"31866880\"]\n  10 -> 35 [size =\"31866880\"]\n  10 -> 38 [size =\"31866880\"]\n  11 [size=\"65193984\", alpha=\"0.01\", expect_size=\"32596992\"] \n  11 -> 20 [size =\"32596992\"]\n  11 -> 21 [size =\"32596992\"]\n  11 -> 22 [size =\"32596992\"]\n  11 -> 24 [size =\"32596992\"]\n  11 -> 26 [size =\"32596992\"]\n  11 -> 27 [size =\"32596992\"]\n  11 -> 28 [size =\"32596992\"]\n  11 -> 29 [size =\"32596992\"]\n  11 -> 33 [size =\"32596992\"]\n  11 -> 34 [size =\"32596992\"]\n  11 -> 35 [size =\"32596992\"]\n  11 -> 36 [size =\"32596992\"]\n  11 -> 38 [size =\"32596992\"]\n  12 [size=\"99680256\", alpha=\"0.05\", expect_size=\"49840128\"] \n  12 -> 20 [size =\"49840128\"]\n  12 -> 22 [size =\"49840128\"]\n  12 -> 22 [size =\"49840128\"]\n  12 -> 24 [size =\"49840128\"]\n  12 -> 26 [size =\"49840128\"]\n  12 -> 27 [size =\"49840128\"]\n  12 -> 28 [size =\"49840128\"]\n  12 -> 29 [size =\"49840128\"]\n  12 -> 33 [size =\"49840128\"]\n  12 -> 35 [size =\"49840128\"]\n  12 -> 38 [size =\"49840128\"]\n  13 [size=\"96249856\", alpha=\"0.06\", expect_size=\"48124928\"] \n  13 -> 22 [size =\"48124928\"]\n  13 -> 24 [size =\"48124928\"]\n  13 -> 25 [size =\"48124928\"]\n  13 -> 26 [size =\"48124928\"]\n  13 -> 27 [size =\"48124928\"]\n  13 -> 27 [size =\"48124928\"]\n  13 -> 28 [size =\"48124928\"]\n  13 -> 29 [size =\"48124928\"]\n  13 -> 33 [size =\"48124928\"]\n  13 -> 35 [size =\"48124928\"]\n  13 -> 37 [size =\"48124928\"]\n  13 -> 38 [size =\"48124928\"]\n  14 [size=\"69437440\", alpha=\"0.12\", expect_size=\"34718720\"] \n  14 -> 22 [size =\"34718720\"]\n  14 -> 24 [size =\"34718720\"]\n  14 -> 26 [size =\"34718720\"]\n  14 -> 28 [size =\"34718720\"]\n  14 -> 29 [size =\"34718720\"]\n  14 -> 32 [size =\"34718720\"]\n  14 -> 33 [size =\"34718720\"]\n  14 -> 34 [size =\"34718720\"]\n  14 -> 35 [size =\"34718720\"]\n  15 [size=\"95098880\", alpha=\"0.12\", expect_size=\"47549440\"] \n  15 -> 22 [size =\"47549440\"]\n  15 -> 23 [size =\"47549440\"]\n  15 -> 24 [size =\"47549440\"]\n  15 -> 27 [size =\"47549440\"]\n  15 -> 33 [size =\"47549440\"]\n  16 [size=\"62353408\", alpha=\"0.16\", expect_size=\"31176704\"] \n  16 -> 20 [size =\"31176704\"]\n  16 -> 22 [size =\"31176704\"]\n  16 -> 23 [size =\"31176704\"]\n  16 -> 24 [size =\"31176704\"]\n  16 -> 25 [size =\"31176704\"]\n  16 -> 26 [size =\"31176704\"]\n  16 -> 27 [size =\"31176704\"]\n  16 -> 29 [size =\"31176704\"]\n  16 -> 32 [size =\"31176704\"]\n  16 -> 33 [size =\"31176704\"]\n  16 -> 36 [size =\"31176704\"]\n  17 [size=\"103815168\", alpha=\"0.03\", expect_size=\"51907584\"] \n  17 -> 23 [size =\"51907584\"]\n  17 -> 24 [size =\"51907584\"]\n  17 -> 25 [size =\"51907584\"]\n  17 -> 28 [size =\"51907584\"]\n  17 -> 32 [size =\"51907584\"]\n  17 -> 34 [size =\"51907584\"]\n  17 -> 36 [size =\"51907584\"]\n  17 -> 38 [size =\"51907584\"]\n  18 [size=\"67395584\", alpha=\"0.10\", expect_size=\"33697792\"] \n  18 -> 22 [size =\"33697792\"]\n  18 -> 23 [size =\"33697792\"]\n  18 -> 24 [size =\"33697792\"]\n  18 -> 25 [size =\"33697792\"]\n  18 -> 27 [size =\"33697792\"]\n  18 -> 28 [size =\"33697792\"]\n  18 -> 34 [size =\"33697792\"]\n  18 -> 37 [size =\"33697792\"]\n  18 -> 38 [size =\"33697792\"]\n  19 [size=\"24270848\", alpha=\"0.07\", expect_size=\"12135424\"] \n  19 -> 20 [size =\"12135424\"]\n  19 -> 22 [size =\"12135424\"]\n  19 -> 24 [size =\"12135424\"]\n  19 -> 25 [size =\"12135424\"]\n  19 -> 34 [size =\"12135424\"]\n  19 -> 38 [size =\"12135424\"]\n  20 [size=\"93497344\", alpha=\"0.04\", expect_size=\"46748672\"] \n  21 [size=\"74051584\", alpha=\"0.09\", expect_size=\"37025792\"] \n  21 -> 40 [size =\"37025792\"]\n  22 [size=\"78553088\", alpha=\"0.04\", expect_size=\"39276544\"] \n  22 -> 39 [size =\"39276544\"]\n  23 [size=\"104476672\", alpha=\"0.12\", expect_size=\"52238336\"] \n  23 -> 40 [size =\"52238336\"]\n  24 [size=\"37343232\", alpha=\"0.06\", expect_size=\"18671616\"] \n  24 -> 39 [size =\"18671616\"]\n  25 [size=\"94756864\", alpha=\"0.20\", expect_size=\"47378432\"] \n  26 [size=\"55384064\", alpha=\"0.16\", expect_size=\"27692032\"] \n  27 [size=\"36339712\", alpha=\"0.05\", expect_size=\"18169856\"] \n  27 -> 39 [size =\"18169856\"]\n  27 -> 40 [size =\"18169856\"]\n  28 [size=\"49846272\", alpha=\"0.14\", expect_size=\"24923136\"] \n  28 -> 40 [size =\"24923136\"]\n  28 -> 40 [size =\"24923136\"]\n  29 [size=\"97001472\", alpha=\"0.05\", expect_size=\"48500736\"] \n  29 -> 40 [size =\"48500736\"]\n  30 [size=\"34107392\", alpha=\"0.07\", expect_size=\"17053696\"] \n  30 -> 39 [size =\"17053696\"]\n  30 -> 40 [size =\"17053696\"]\n  31 [size=\"51337216\", alpha=\"0.01\", expect_size=\"25668608\"] \n  31 -> 39 [size =\"25668608\"]\n  31 -> 40 [size =\"25668608\"]\n  32 [size=\"92311552\", alpha=\"0.14\", expect_size=\"46155776\"] \n  32 -> 39 [size =\"46155776\"]\n  32 -> 40 [size =\"46155776\"]\n  33 [size=\"15970304\", alpha=\"0.05\", expect_size=\"7985152\"] \n  33 -> 39 [size =\"7985152\"]\n  33 -> 40 [size =\"7985152\"]\n  34 [size=\"72161280\", alpha=\"0.08\", expect_size=\"36080640\"] \n  34 -> 39 [size =\"36080640\"]\n  34 -> 40 [size =\"36080640\"]\n  35 [size=\"101171200\", alpha=\"0.09\", expect_size=\"50585600\"] \n  35 -> 39 [size =\"50585600\"]\n  35 -> 40 [size =\"50585600\"]\n  36 [size=\"101163008\", alpha=\"0.02\", expect_size=\"50581504\"] \n  36 -> 40 [size =\"50581504\"]\n  36 -> 40 [size =\"50581504\"]\n  37 [size=\"81020928\", alpha=\"0.14\", expect_size=\"40510464\"] \n  38 [size=\"10952704\", alpha=\"0.18\", expect_size=\"5476352\"] \n  38 -> 39 [size =\"5476352\"]\n  39 [size=\"78102528\", alpha=\"0.05\", expect_size=\"39051264\"] \n  40 [size=\"102402048\", alpha=\"0.10\", expect_size=\"51201024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70696960\", alpha=\"0.20\", expect_size=\"21209088\"] \n  1 -> 4 [size =\"21209088\"]\n  2 [size=\"23729493\", alpha=\"0.16\", expect_size=\"7118848\"] \n  2 -> 3 [size =\"7118848\"]\n  3 [size=\"135601493\", alpha=\"0.09\", expect_size=\"40680448\"] \n  3 -> 5 [size =\"40680448\"]\n  3 -> 6 [size =\"40680448\"]\n  3 -> 7 [size =\"40680448\"]\n  4 [size=\"67061760\", alpha=\"0.19\", expect_size=\"20118528\"] \n  5 [size=\"20370773\", alpha=\"0.06\", expect_size=\"6111232\"] \n  5 -> 10 [size =\"6111232\"]\n  6 [size=\"56688640\", alpha=\"0.18\", expect_size=\"17006592\"] \n  6 -> 8 [size =\"17006592\"]\n  6 -> 9 [size =\"17006592\"]\n  6 -> 10 [size =\"17006592\"]\n  7 [size=\"141847893\", alpha=\"0.14\", expect_size=\"42554368\"] \n  8 [size=\"98669227\", alpha=\"0.16\", expect_size=\"29600768\"] \n  8 -> 12 [size =\"29600768\"]\n  8 -> 13 [size =\"29600768\"]\n  9 [size=\"148121600\", alpha=\"0.06\", expect_size=\"44436480\"] \n  9 -> 11 [size =\"44436480\"]\n  9 -> 13 [size =\"44436480\"]\n  10 [size=\"164969813\", alpha=\"0.11\", expect_size=\"49490944\"] \n  10 -> 12 [size =\"49490944\"]\n  11 [size=\"148589227\", alpha=\"0.15\", expect_size=\"44576768\"] \n  11 -> 15 [size =\"44576768\"]\n  12 [size=\"144773120\", alpha=\"0.07\", expect_size=\"43431936\"] \n  12 -> 14 [size =\"43431936\"]\n  12 -> 15 [size =\"43431936\"]\n  12 -> 16 [size =\"43431936\"]\n  13 [size=\"111247360\", alpha=\"0.04\", expect_size=\"33374208\"] \n  14 [size=\"22401707\", alpha=\"0.03\", expect_size=\"6720512\"] \n  14 -> 18 [size =\"6720512\"]\n  14 -> 19 [size =\"6720512\"]\n  15 [size=\"18353493\", alpha=\"0.10\", expect_size=\"5506048\"] \n  15 -> 17 [size =\"5506048\"]\n  15 -> 18 [size =\"5506048\"]\n  15 -> 19 [size =\"5506048\"]\n  16 [size=\"63344640\", alpha=\"0.05\", expect_size=\"19003392\"] \n  17 [size=\"48390827\", alpha=\"0.12\", expect_size=\"14517248\"] \n  17 -> 20 [size =\"14517248\"]\n  17 -> 21 [size =\"14517248\"]\n  18 [size=\"160047787\", alpha=\"0.16\", expect_size=\"48014336\"] \n  18 -> 21 [size =\"48014336\"]\n  19 [size=\"125808640\", alpha=\"0.01\", expect_size=\"37742592\"] \n  19 -> 22 [size =\"37742592\"]\n  20 [size=\"18800640\", alpha=\"0.03\", expect_size=\"5640192\"] \n  20 -> 24 [size =\"5640192\"]\n  21 [size=\"108830720\", alpha=\"0.13\", expect_size=\"32649216\"] \n  21 -> 23 [size =\"32649216\"]\n  22 [size=\"69744640\", alpha=\"0.04\", expect_size=\"20923392\"] \n  22 -> 24 [size =\"20923392\"]\n  23 [size=\"122149547\", alpha=\"0.09\", expect_size=\"36644864\"] \n  23 -> 25 [size =\"36644864\"]\n  23 -> 26 [size =\"36644864\"]\n  24 [size=\"151599787\", alpha=\"0.01\", expect_size=\"45479936\"] \n  25 [size=\"17561600\", alpha=\"0.13\", expect_size=\"5268480\"] \n  26 [size=\"97358507\", alpha=\"0.10\", expect_size=\"29207552\"] \n  26 -> 27 [size =\"29207552\"]\n  26 -> 28 [size =\"29207552\"]\n  27 [size=\"137284267\", alpha=\"0.03\", expect_size=\"41185280\"] \n  27 -> 30 [size =\"41185280\"]\n  28 [size=\"77940053\", alpha=\"0.06\", expect_size=\"23382016\"] \n  28 -> 29 [size =\"23382016\"]\n  28 -> 31 [size =\"23382016\"]\n  29 [size=\"47940267\", alpha=\"0.06\", expect_size=\"14382080\"] \n  29 -> 32 [size =\"14382080\"]\n  29 -> 33 [size =\"14382080\"]\n  30 [size=\"52568747\", alpha=\"0.05\", expect_size=\"15770624\"] \n  31 [size=\"79882240\", alpha=\"0.00\", expect_size=\"23964672\"] \n  31 -> 32 [size =\"23964672\"]\n  32 [size=\"25821867\", alpha=\"0.12\", expect_size=\"7746560\"] \n  32 -> 34 [size =\"7746560\"]\n  32 -> 35 [size =\"7746560\"]\n  32 -> 36 [size =\"7746560\"]\n  33 [size=\"53930667\", alpha=\"0.15\", expect_size=\"16179200\"] \n  34 [size=\"125044053\", alpha=\"0.19\", expect_size=\"37513216\"] \n  34 -> 37 [size =\"37513216\"]\n  34 -> 38 [size =\"37513216\"]\n  35 [size=\"131464533\", alpha=\"0.03\", expect_size=\"39439360\"] \n  36 [size=\"76090027\", alpha=\"0.13\", expect_size=\"22827008\"] \n  36 -> 38 [size =\"22827008\"]\n  37 [size=\"155415893\", alpha=\"0.07\", expect_size=\"46624768\"] \n  37 -> 39 [size =\"46624768\"]\n  37 -> 40 [size =\"46624768\"]\n  38 [size=\"21961387\", alpha=\"0.19\", expect_size=\"6588416\"] \n  39 [size=\"71492267\", alpha=\"0.05\", expect_size=\"21447680\"] \n  40 [size=\"120081067\", alpha=\"0.11\", expect_size=\"36024320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13377536\", alpha=\"0.05\", expect_size=\"6688768\"] \n  1 -> 4 [size =\"6688768\"]\n  1 -> 5 [size =\"6688768\"]\n  2 [size=\"33265664\", alpha=\"0.12\", expect_size=\"16632832\"] \n  2 -> 5 [size =\"16632832\"]\n  3 [size=\"56856576\", alpha=\"0.19\", expect_size=\"28428288\"] \n  3 -> 4 [size =\"28428288\"]\n  3 -> 5 [size =\"28428288\"]\n  4 [size=\"100407296\", alpha=\"0.03\", expect_size=\"50203648\"] \n  4 -> 6 [size =\"50203648\"]\n  4 -> 7 [size =\"50203648\"]\n  5 [size=\"16001024\", alpha=\"0.07\", expect_size=\"8000512\"] \n  5 -> 6 [size =\"8000512\"]\n  5 -> 7 [size =\"8000512\"]\n  6 [size=\"38600704\", alpha=\"0.11\", expect_size=\"19300352\"] \n  6 -> 9 [size =\"19300352\"]\n  7 [size=\"14968832\", alpha=\"0.15\", expect_size=\"7484416\"] \n  7 -> 8 [size =\"7484416\"]\n  7 -> 9 [size =\"7484416\"]\n  8 [size=\"20615168\", alpha=\"0.14\", expect_size=\"10307584\"] \n  8 -> 10 [size =\"10307584\"]\n  9 [size=\"29896704\", alpha=\"0.02\", expect_size=\"14948352\"] \n  9 -> 11 [size =\"14948352\"]\n  10 [size=\"70121472\", alpha=\"0.07\", expect_size=\"35060736\"] \n  10 -> 12 [size =\"35060736\"]\n  10 -> 13 [size =\"35060736\"]\n  10 -> 14 [size =\"35060736\"]\n  11 [size=\"41500672\", alpha=\"0.19\", expect_size=\"20750336\"] \n  11 -> 12 [size =\"20750336\"]\n  11 -> 13 [size =\"20750336\"]\n  11 -> 14 [size =\"20750336\"]\n  12 [size=\"66783232\", alpha=\"0.01\", expect_size=\"33391616\"] \n  12 -> 15 [size =\"33391616\"]\n  12 -> 16 [size =\"33391616\"]\n  13 [size=\"30070784\", alpha=\"0.02\", expect_size=\"15035392\"] \n  13 -> 15 [size =\"15035392\"]\n  14 [size=\"23838720\", alpha=\"0.19\", expect_size=\"11919360\"] \n  14 -> 16 [size =\"11919360\"]\n  15 [size=\"36196352\", alpha=\"0.13\", expect_size=\"18098176\"] \n  15 -> 17 [size =\"18098176\"]\n  15 -> 18 [size =\"18098176\"]\n  16 [size=\"68554752\", alpha=\"0.14\", expect_size=\"34277376\"] \n  16 -> 17 [size =\"34277376\"]\n  16 -> 18 [size =\"34277376\"]\n  17 [size=\"28381184\", alpha=\"0.04\", expect_size=\"14190592\"] \n  17 -> 19 [size =\"14190592\"]\n  17 -> 20 [size =\"14190592\"]\n  18 [size=\"97359872\", alpha=\"0.01\", expect_size=\"48679936\"] \n  18 -> 19 [size =\"48679936\"]\n  18 -> 20 [size =\"48679936\"]\n  19 [size=\"67620864\", alpha=\"0.06\", expect_size=\"33810432\"] \n  19 -> 21 [size =\"33810432\"]\n  20 [size=\"75220992\", alpha=\"0.18\", expect_size=\"37610496\"] \n  20 -> 21 [size =\"37610496\"]\n  20 -> 22 [size =\"37610496\"]\n  21 [size=\"12462080\", alpha=\"0.10\", expect_size=\"6231040\"] \n  21 -> 23 [size =\"6231040\"]\n  21 -> 24 [size =\"6231040\"]\n  22 [size=\"103522304\", alpha=\"0.08\", expect_size=\"51761152\"] \n  22 -> 23 [size =\"51761152\"]\n  22 -> 24 [size =\"51761152\"]\n  22 -> 25 [size =\"51761152\"]\n  23 [size=\"11968512\", alpha=\"0.15\", expect_size=\"5984256\"] \n  24 [size=\"20948992\", alpha=\"0.01\", expect_size=\"10474496\"] \n  24 -> 26 [size =\"10474496\"]\n  24 -> 27 [size =\"10474496\"]\n  25 [size=\"18216960\", alpha=\"0.08\", expect_size=\"9108480\"] \n  26 [size=\"78671872\", alpha=\"0.02\", expect_size=\"39335936\"] \n  26 -> 28 [size =\"39335936\"]\n  26 -> 29 [size =\"39335936\"]\n  27 [size=\"51306496\", alpha=\"0.16\", expect_size=\"25653248\"] \n  27 -> 28 [size =\"25653248\"]\n  27 -> 29 [size =\"25653248\"]\n  28 [size=\"70082560\", alpha=\"0.12\", expect_size=\"35041280\"] \n  28 -> 30 [size =\"35041280\"]\n  28 -> 31 [size =\"35041280\"]\n  29 [size=\"73603072\", alpha=\"0.13\", expect_size=\"36801536\"] \n  29 -> 31 [size =\"36801536\"]\n  30 [size=\"101672960\", alpha=\"0.06\", expect_size=\"50836480\"] \n  30 -> 32 [size =\"50836480\"]\n  30 -> 33 [size =\"50836480\"]\n  31 [size=\"91416576\", alpha=\"0.06\", expect_size=\"45708288\"] \n  31 -> 33 [size =\"45708288\"]\n  32 [size=\"45721600\", alpha=\"0.18\", expect_size=\"22860800\"] \n  32 -> 34 [size =\"22860800\"]\n  32 -> 35 [size =\"22860800\"]\n  33 [size=\"81743872\", alpha=\"0.13\", expect_size=\"40871936\"] \n  33 -> 35 [size =\"40871936\"]\n  34 [size=\"57110528\", alpha=\"0.12\", expect_size=\"28555264\"] \n  34 -> 36 [size =\"28555264\"]\n  34 -> 37 [size =\"28555264\"]\n  35 [size=\"61747200\", alpha=\"0.16\", expect_size=\"30873600\"] \n  35 -> 37 [size =\"30873600\"]\n  36 [size=\"101165056\", alpha=\"0.13\", expect_size=\"50582528\"] \n  36 -> 38 [size =\"50582528\"]\n  36 -> 40 [size =\"50582528\"]\n  37 [size=\"14743552\", alpha=\"0.13\", expect_size=\"7371776\"] \n  37 -> 38 [size =\"7371776\"]\n  37 -> 39 [size =\"7371776\"]\n  37 -> 40 [size =\"7371776\"]\n  38 [size=\"90079232\", alpha=\"0.11\", expect_size=\"45039616\"] \n  39 [size=\"54185984\", alpha=\"0.02\", expect_size=\"27092992\"] \n  40 [size=\"20850688\", alpha=\"0.07\", expect_size=\"10425344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31684608\", alpha=\"0.20\", expect_size=\"15842304\"] \n  1 -> 40 [size =\"15842304\"]\n  2 [size=\"80996352\", alpha=\"0.18\", expect_size=\"40498176\"] \n  2 -> 40 [size =\"40498176\"]\n  3 [size=\"27846656\", alpha=\"0.11\", expect_size=\"13923328\"] \n  4 [size=\"44630016\", alpha=\"0.01\", expect_size=\"22315008\"] \n  4 -> 40 [size =\"22315008\"]\n  5 [size=\"32823296\", alpha=\"0.04\", expect_size=\"16411648\"] \n  5 -> 40 [size =\"16411648\"]\n  6 [size=\"30169088\", alpha=\"0.07\", expect_size=\"15084544\"] \n  6 -> 40 [size =\"15084544\"]\n  7 [size=\"31954944\", alpha=\"0.13\", expect_size=\"15977472\"] \n  7 -> 40 [size =\"15977472\"]\n  8 [size=\"19695616\", alpha=\"0.16\", expect_size=\"9847808\"] \n  9 [size=\"93687808\", alpha=\"0.14\", expect_size=\"46843904\"] \n  10 [size=\"103827456\", alpha=\"0.13\", expect_size=\"51913728\"] \n  11 [size=\"76795904\", alpha=\"0.17\", expect_size=\"38397952\"] \n  12 [size=\"75941888\", alpha=\"0.16\", expect_size=\"37970944\"] \n  13 [size=\"67305472\", alpha=\"0.05\", expect_size=\"33652736\"] \n  13 -> 40 [size =\"33652736\"]\n  14 [size=\"25161728\", alpha=\"0.04\", expect_size=\"12580864\"] \n  15 [size=\"27881472\", alpha=\"0.10\", expect_size=\"13940736\"] \n  16 [size=\"47052800\", alpha=\"0.07\", expect_size=\"23526400\"] \n  17 [size=\"81537024\", alpha=\"0.15\", expect_size=\"40768512\"] \n  18 [size=\"49371136\", alpha=\"0.03\", expect_size=\"24685568\"] \n  19 [size=\"28325888\", alpha=\"0.01\", expect_size=\"14162944\"] \n  20 [size=\"95078400\", alpha=\"0.01\", expect_size=\"47539200\"] \n  21 [size=\"62599168\", alpha=\"0.06\", expect_size=\"31299584\"] \n  21 -> 40 [size =\"31299584\"]\n  22 [size=\"47353856\", alpha=\"0.06\", expect_size=\"23676928\"] \n  22 -> 40 [size =\"23676928\"]\n  23 [size=\"27265024\", alpha=\"0.09\", expect_size=\"13632512\"] \n  24 [size=\"52959232\", alpha=\"0.00\", expect_size=\"26479616\"] \n  25 [size=\"70281216\", alpha=\"0.16\", expect_size=\"35140608\"] \n  26 [size=\"23146496\", alpha=\"0.15\", expect_size=\"11573248\"] \n  26 -> 40 [size =\"11573248\"]\n  27 [size=\"57587712\", alpha=\"0.20\", expect_size=\"28793856\"] \n  27 -> 40 [size =\"28793856\"]\n  28 [size=\"35207168\", alpha=\"0.06\", expect_size=\"17603584\"] \n  29 [size=\"50327552\", alpha=\"0.10\", expect_size=\"25163776\"] \n  30 [size=\"53061632\", alpha=\"0.13\", expect_size=\"26530816\"] \n  31 [size=\"57876480\", alpha=\"0.11\", expect_size=\"28938240\"] \n  32 [size=\"85972992\", alpha=\"0.03\", expect_size=\"42986496\"] \n  33 [size=\"19113984\", alpha=\"0.06\", expect_size=\"9556992\"] \n  34 [size=\"63410176\", alpha=\"0.13\", expect_size=\"31705088\"] \n  35 [size=\"64262144\", alpha=\"0.03\", expect_size=\"32131072\"] \n  35 -> 40 [size =\"32131072\"]\n  36 [size=\"44007424\", alpha=\"0.01\", expect_size=\"22003712\"] \n  37 [size=\"22331392\", alpha=\"0.14\", expect_size=\"11165696\"] \n  38 [size=\"20703232\", alpha=\"0.16\", expect_size=\"10351616\"] \n  38 -> 40 [size =\"10351616\"]\n  39 [size=\"48334848\", alpha=\"0.01\", expect_size=\"24167424\"] \n  40 [size=\"94056448\", alpha=\"0.04\", expect_size=\"47028224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16889856\", alpha=\"0.05\", expect_size=\"8444928\"] \n  1 -> 5 [size =\"8444928\"]\n  2 [size=\"28475392\", alpha=\"0.00\", expect_size=\"14237696\"] \n  2 -> 4 [size =\"14237696\"]\n  2 -> 5 [size =\"14237696\"]\n  3 [size=\"16742400\", alpha=\"0.17\", expect_size=\"8371200\"] \n  4 [size=\"32866304\", alpha=\"0.15\", expect_size=\"16433152\"] \n  4 -> 6 [size =\"16433152\"]\n  4 -> 7 [size =\"16433152\"]\n  5 [size=\"94853120\", alpha=\"0.15\", expect_size=\"47426560\"] \n  6 [size=\"63270912\", alpha=\"0.02\", expect_size=\"31635456\"] \n  6 -> 8 [size =\"31635456\"]\n  7 [size=\"93759488\", alpha=\"0.06\", expect_size=\"46879744\"] \n  7 -> 9 [size =\"46879744\"]\n  8 [size=\"15542272\", alpha=\"0.02\", expect_size=\"7771136\"] \n  8 -> 10 [size =\"7771136\"]\n  8 -> 11 [size =\"7771136\"]\n  9 [size=\"77375488\", alpha=\"0.16\", expect_size=\"38687744\"] \n  9 -> 12 [size =\"38687744\"]\n  10 [size=\"50495488\", alpha=\"0.10\", expect_size=\"25247744\"] \n  10 -> 13 [size =\"25247744\"]\n  10 -> 14 [size =\"25247744\"]\n  11 [size=\"25776128\", alpha=\"0.15\", expect_size=\"12888064\"] \n  12 [size=\"49704960\", alpha=\"0.13\", expect_size=\"24852480\"] \n  12 -> 13 [size =\"24852480\"]\n  12 -> 14 [size =\"24852480\"]\n  13 [size=\"50671616\", alpha=\"0.19\", expect_size=\"25335808\"] \n  13 -> 15 [size =\"25335808\"]\n  14 [size=\"37634048\", alpha=\"0.06\", expect_size=\"18817024\"] \n  14 -> 16 [size =\"18817024\"]\n  15 [size=\"15626240\", alpha=\"0.18\", expect_size=\"7813120\"] \n  15 -> 17 [size =\"7813120\"]\n  15 -> 18 [size =\"7813120\"]\n  16 [size=\"87662592\", alpha=\"0.12\", expect_size=\"43831296\"] \n  17 [size=\"96708608\", alpha=\"0.02\", expect_size=\"48354304\"] \n  17 -> 20 [size =\"48354304\"]\n  17 -> 21 [size =\"48354304\"]\n  18 [size=\"29503488\", alpha=\"0.13\", expect_size=\"14751744\"] \n  18 -> 19 [size =\"14751744\"]\n  19 [size=\"37685248\", alpha=\"0.15\", expect_size=\"18842624\"] \n  19 -> 23 [size =\"18842624\"]\n  19 -> 24 [size =\"18842624\"]\n  20 [size=\"16635904\", alpha=\"0.10\", expect_size=\"8317952\"] \n  20 -> 22 [size =\"8317952\"]\n  20 -> 24 [size =\"8317952\"]\n  21 [size=\"64047104\", alpha=\"0.06\", expect_size=\"32023552\"] \n  22 [size=\"40077312\", alpha=\"0.06\", expect_size=\"20038656\"] \n  22 -> 26 [size =\"20038656\"]\n  22 -> 27 [size =\"20038656\"]\n  23 [size=\"99135488\", alpha=\"0.07\", expect_size=\"49567744\"] \n  23 -> 25 [size =\"49567744\"]\n  23 -> 27 [size =\"49567744\"]\n  24 [size=\"96720896\", alpha=\"0.13\", expect_size=\"48360448\"] \n  25 [size=\"29302784\", alpha=\"0.17\", expect_size=\"14651392\"] \n  25 -> 30 [size =\"14651392\"]\n  26 [size=\"21164032\", alpha=\"0.12\", expect_size=\"10582016\"] \n  26 -> 29 [size =\"10582016\"]\n  27 [size=\"76189696\", alpha=\"0.05\", expect_size=\"38094848\"] \n  27 -> 28 [size =\"38094848\"]\n  28 [size=\"86839296\", alpha=\"0.18\", expect_size=\"43419648\"] \n  28 -> 32 [size =\"43419648\"]\n  29 [size=\"53116928\", alpha=\"0.06\", expect_size=\"26558464\"] \n  29 -> 32 [size =\"26558464\"]\n  30 [size=\"29181952\", alpha=\"0.03\", expect_size=\"14590976\"] \n  30 -> 31 [size =\"14590976\"]\n  30 -> 33 [size =\"14590976\"]\n  31 [size=\"74854400\", alpha=\"0.02\", expect_size=\"37427200\"] \n  31 -> 35 [size =\"37427200\"]\n  31 -> 36 [size =\"37427200\"]\n  32 [size=\"102170624\", alpha=\"0.10\", expect_size=\"51085312\"] \n  32 -> 34 [size =\"51085312\"]\n  32 -> 36 [size =\"51085312\"]\n  33 [size=\"34748416\", alpha=\"0.07\", expect_size=\"17374208\"] \n  33 -> 34 [size =\"17374208\"]\n  34 [size=\"67586048\", alpha=\"0.09\", expect_size=\"33793024\"] \n  34 -> 37 [size =\"33793024\"]\n  34 -> 38 [size =\"33793024\"]\n  35 [size=\"34322432\", alpha=\"0.13\", expect_size=\"17161216\"] \n  35 -> 37 [size =\"17161216\"]\n  35 -> 39 [size =\"17161216\"]\n  36 [size=\"19324928\", alpha=\"0.12\", expect_size=\"9662464\"] \n  37 [size=\"75378688\", alpha=\"0.10\", expect_size=\"37689344\"] \n  38 [size=\"97017856\", alpha=\"0.12\", expect_size=\"48508928\"] \n  38 -> 40 [size =\"48508928\"]\n  39 [size=\"89300992\", alpha=\"0.20\", expect_size=\"44650496\"] \n  40 [size=\"24743936\", alpha=\"0.09\", expect_size=\"12371968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160699733\", alpha=\"0.12\", expect_size=\"48209920\"] \n  1 -> 7 [size =\"48209920\"]\n  2 [size=\"19855360\", alpha=\"0.05\", expect_size=\"5956608\"] \n  2 -> 6 [size =\"5956608\"]\n  2 -> 7 [size =\"5956608\"]\n  3 [size=\"129167360\", alpha=\"0.09\", expect_size=\"38750208\"] \n  3 -> 9 [size =\"38750208\"]\n  3 -> 10 [size =\"38750208\"]\n  3 -> 11 [size =\"38750208\"]\n  4 [size=\"60596907\", alpha=\"0.00\", expect_size=\"18179072\"] \n  4 -> 6 [size =\"18179072\"]\n  4 -> 7 [size =\"18179072\"]\n  4 -> 8 [size =\"18179072\"]\n  4 -> 9 [size =\"18179072\"]\n  4 -> 10 [size =\"18179072\"]\n  5 [size=\"21760000\", alpha=\"0.10\", expect_size=\"6528000\"] \n  5 -> 6 [size =\"6528000\"]\n  5 -> 7 [size =\"6528000\"]\n  5 -> 8 [size =\"6528000\"]\n  6 [size=\"110984533\", alpha=\"0.04\", expect_size=\"33295360\"] \n  6 -> 13 [size =\"33295360\"]\n  6 -> 14 [size =\"33295360\"]\n  6 -> 15 [size =\"33295360\"]\n  6 -> 16 [size =\"33295360\"]\n  7 [size=\"54541653\", alpha=\"0.02\", expect_size=\"16362496\"] \n  7 -> 13 [size =\"16362496\"]\n  7 -> 15 [size =\"16362496\"]\n  7 -> 16 [size =\"16362496\"]\n  8 [size=\"137379840\", alpha=\"0.09\", expect_size=\"41213952\"] \n  8 -> 14 [size =\"41213952\"]\n  8 -> 15 [size =\"41213952\"]\n  8 -> 16 [size =\"41213952\"]\n  9 [size=\"116821333\", alpha=\"0.09\", expect_size=\"35046400\"] \n  9 -> 13 [size =\"35046400\"]\n  9 -> 15 [size =\"35046400\"]\n  10 [size=\"153166507\", alpha=\"0.07\", expect_size=\"45949952\"] \n  10 -> 12 [size =\"45949952\"]\n  10 -> 13 [size =\"45949952\"]\n  10 -> 14 [size =\"45949952\"]\n  10 -> 16 [size =\"45949952\"]\n  10 -> 17 [size =\"45949952\"]\n  11 [size=\"167833600\", alpha=\"0.03\", expect_size=\"50350080\"] \n  11 -> 17 [size =\"50350080\"]\n  12 [size=\"104400213\", alpha=\"0.14\", expect_size=\"31320064\"] \n  12 -> 18 [size =\"31320064\"]\n  12 -> 20 [size =\"31320064\"]\n  12 -> 21 [size =\"31320064\"]\n  13 [size=\"142499840\", alpha=\"0.07\", expect_size=\"42749952\"] \n  13 -> 18 [size =\"42749952\"]\n  13 -> 20 [size =\"42749952\"]\n  13 -> 23 [size =\"42749952\"]\n  14 [size=\"53930667\", alpha=\"0.20\", expect_size=\"16179200\"] \n  14 -> 19 [size =\"16179200\"]\n  15 [size=\"57285973\", alpha=\"0.12\", expect_size=\"17185792\"] \n  15 -> 18 [size =\"17185792\"]\n  15 -> 20 [size =\"17185792\"]\n  15 -> 21 [size =\"17185792\"]\n  16 [size=\"132840107\", alpha=\"0.09\", expect_size=\"39852032\"] \n  16 -> 18 [size =\"39852032\"]\n  16 -> 19 [size =\"39852032\"]\n  16 -> 20 [size =\"39852032\"]\n  16 -> 22 [size =\"39852032\"]\n  17 [size=\"165205333\", alpha=\"0.12\", expect_size=\"49561600\"] \n  17 -> 18 [size =\"49561600\"]\n  17 -> 21 [size =\"49561600\"]\n  18 [size=\"22203733\", alpha=\"0.02\", expect_size=\"6661120\"] \n  18 -> 25 [size =\"6661120\"]\n  18 -> 26 [size =\"6661120\"]\n  18 -> 27 [size =\"6661120\"]\n  19 [size=\"96897707\", alpha=\"0.11\", expect_size=\"29069312\"] \n  19 -> 24 [size =\"29069312\"]\n  19 -> 25 [size =\"29069312\"]\n  19 -> 26 [size =\"29069312\"]\n  20 [size=\"166154240\", alpha=\"0.02\", expect_size=\"49846272\"] \n  20 -> 24 [size =\"49846272\"]\n  20 -> 26 [size =\"49846272\"]\n  21 [size=\"61702827\", alpha=\"0.12\", expect_size=\"18510848\"] \n  21 -> 24 [size =\"18510848\"]\n  22 [size=\"87357440\", alpha=\"0.02\", expect_size=\"26207232\"] \n  23 [size=\"37618347\", alpha=\"0.06\", expect_size=\"11285504\"] \n  23 -> 24 [size =\"11285504\"]\n  23 -> 28 [size =\"11285504\"]\n  24 [size=\"91760640\", alpha=\"0.16\", expect_size=\"27528192\"] \n  24 -> 29 [size =\"27528192\"]\n  24 -> 31 [size =\"27528192\"]\n  24 -> 32 [size =\"27528192\"]\n  25 [size=\"89832107\", alpha=\"0.06\", expect_size=\"26949632\"] \n  25 -> 29 [size =\"26949632\"]\n  25 -> 30 [size =\"26949632\"]\n  25 -> 31 [size =\"26949632\"]\n  25 -> 32 [size =\"26949632\"]\n  25 -> 33 [size =\"26949632\"]\n  26 [size=\"28532053\", alpha=\"0.08\", expect_size=\"8559616\"] \n  26 -> 29 [size =\"8559616\"]\n  26 -> 33 [size =\"8559616\"]\n  27 [size=\"97034240\", alpha=\"0.15\", expect_size=\"29110272\"] \n  27 -> 29 [size =\"29110272\"]\n  27 -> 30 [size =\"29110272\"]\n  27 -> 32 [size =\"29110272\"]\n  28 [size=\"33798827\", alpha=\"0.17\", expect_size=\"10139648\"] \n  28 -> 30 [size =\"10139648\"]\n  28 -> 31 [size =\"10139648\"]\n  29 [size=\"49268053\", alpha=\"0.12\", expect_size=\"14780416\"] \n  29 -> 35 [size =\"14780416\"]\n  29 -> 36 [size =\"14780416\"]\n  30 [size=\"133737813\", alpha=\"0.03\", expect_size=\"40121344\"] \n  30 -> 34 [size =\"40121344\"]\n  30 -> 36 [size =\"40121344\"]\n  30 -> 37 [size =\"40121344\"]\n  31 [size=\"151040000\", alpha=\"0.15\", expect_size=\"45312000\"] \n  31 -> 34 [size =\"45312000\"]\n  31 -> 37 [size =\"45312000\"]\n  31 -> 38 [size =\"45312000\"]\n  32 [size=\"87111680\", alpha=\"0.17\", expect_size=\"26133504\"] \n  32 -> 35 [size =\"26133504\"]\n  32 -> 37 [size =\"26133504\"]\n  33 [size=\"101618347\", alpha=\"0.15\", expect_size=\"30485504\"] \n  33 -> 34 [size =\"30485504\"]\n  33 -> 35 [size =\"30485504\"]\n  33 -> 36 [size =\"30485504\"]\n  33 -> 39 [size =\"30485504\"]\n  34 [size=\"148964693\", alpha=\"0.17\", expect_size=\"44689408\"] \n  35 [size=\"114988373\", alpha=\"0.05\", expect_size=\"34496512\"] \n  36 [size=\"161259520\", alpha=\"0.07\", expect_size=\"48377856\"] \n  37 [size=\"66717013\", alpha=\"0.09\", expect_size=\"20015104\"] \n  37 -> 40 [size =\"20015104\"]\n  38 [size=\"25716053\", alpha=\"0.10\", expect_size=\"7714816\"] \n  39 [size=\"158156800\", alpha=\"0.02\", expect_size=\"47447040\"] \n  40 [size=\"91535360\", alpha=\"0.13\", expect_size=\"27460608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23610027\", alpha=\"0.02\", expect_size=\"7083008\"] \n  1 -> 37 [size =\"7083008\"]\n  2 [size=\"28521813\", alpha=\"0.04\", expect_size=\"8556544\"] \n  2 -> 32 [size =\"8556544\"]\n  2 -> 34 [size =\"8556544\"]\n  2 -> 38 [size =\"8556544\"]\n  2 -> 39 [size =\"8556544\"]\n  3 [size=\"98426880\", alpha=\"0.12\", expect_size=\"29528064\"] \n  3 -> 34 [size =\"29528064\"]\n  3 -> 35 [size =\"29528064\"]\n  3 -> 38 [size =\"29528064\"]\n  3 -> 39 [size =\"29528064\"]\n  4 [size=\"148097707\", alpha=\"0.07\", expect_size=\"44429312\"] \n  4 -> 29 [size =\"44429312\"]\n  4 -> 30 [size =\"44429312\"]\n  4 -> 33 [size =\"44429312\"]\n  4 -> 35 [size =\"44429312\"]\n  4 -> 39 [size =\"44429312\"]\n  5 [size=\"46267733\", alpha=\"0.16\", expect_size=\"13880320\"] \n  5 -> 30 [size =\"13880320\"]\n  5 -> 32 [size =\"13880320\"]\n  5 -> 35 [size =\"13880320\"]\n  5 -> 35 [size =\"13880320\"]\n  5 -> 39 [size =\"13880320\"]\n  5 -> 40 [size =\"13880320\"]\n  6 [size=\"141759147\", alpha=\"0.07\", expect_size=\"42527744\"] \n  6 -> 28 [size =\"42527744\"]\n  6 -> 29 [size =\"42527744\"]\n  6 -> 30 [size =\"42527744\"]\n  6 -> 32 [size =\"42527744\"]\n  6 -> 35 [size =\"42527744\"]\n  6 -> 38 [size =\"42527744\"]\n  6 -> 39 [size =\"42527744\"]\n  7 [size=\"42137600\", alpha=\"0.07\", expect_size=\"12641280\"] \n  7 -> 29 [size =\"12641280\"]\n  7 -> 30 [size =\"12641280\"]\n  7 -> 30 [size =\"12641280\"]\n  7 -> 37 [size =\"12641280\"]\n  7 -> 38 [size =\"12641280\"]\n  7 -> 39 [size =\"12641280\"]\n  7 -> 39 [size =\"12641280\"]\n  8 [size=\"146199893\", alpha=\"0.03\", expect_size=\"43859968\"] \n  8 -> 28 [size =\"43859968\"]\n  8 -> 29 [size =\"43859968\"]\n  8 -> 30 [size =\"43859968\"]\n  8 -> 31 [size =\"43859968\"]\n  8 -> 33 [size =\"43859968\"]\n  8 -> 34 [size =\"43859968\"]\n  8 -> 35 [size =\"43859968\"]\n  8 -> 39 [size =\"43859968\"]\n  9 [size=\"117039787\", alpha=\"0.05\", expect_size=\"35111936\"] \n  9 -> 31 [size =\"35111936\"]\n  9 -> 32 [size =\"35111936\"]\n  9 -> 33 [size =\"35111936\"]\n  9 -> 34 [size =\"35111936\"]\n  9 -> 38 [size =\"35111936\"]\n  9 -> 39 [size =\"35111936\"]\n  10 [size=\"74625707\", alpha=\"0.17\", expect_size=\"22387712\"] \n  10 -> 31 [size =\"22387712\"]\n  10 -> 32 [size =\"22387712\"]\n  10 -> 34 [size =\"22387712\"]\n  10 -> 34 [size =\"22387712\"]\n  10 -> 37 [size =\"22387712\"]\n  10 -> 38 [size =\"22387712\"]\n  10 -> 39 [size =\"22387712\"]\n  11 [size=\"25879893\", alpha=\"0.19\", expect_size=\"7763968\"] \n  11 -> 29 [size =\"7763968\"]\n  11 -> 30 [size =\"7763968\"]\n  11 -> 31 [size =\"7763968\"]\n  11 -> 34 [size =\"7763968\"]\n  11 -> 38 [size =\"7763968\"]\n  11 -> 39 [size =\"7763968\"]\n  11 -> 39 [size =\"7763968\"]\n  12 [size=\"40478720\", alpha=\"0.11\", expect_size=\"12143616\"] \n  12 -> 34 [size =\"12143616\"]\n  13 [size=\"68147200\", alpha=\"0.01\", expect_size=\"20444160\"] \n  13 -> 34 [size =\"20444160\"]\n  13 -> 35 [size =\"20444160\"]\n  13 -> 37 [size =\"20444160\"]\n  14 [size=\"163614720\", alpha=\"0.17\", expect_size=\"49084416\"] \n  14 -> 29 [size =\"49084416\"]\n  14 -> 31 [size =\"49084416\"]\n  14 -> 32 [size =\"49084416\"]\n  14 -> 33 [size =\"49084416\"]\n  14 -> 34 [size =\"49084416\"]\n  14 -> 35 [size =\"49084416\"]\n  14 -> 36 [size =\"49084416\"]\n  14 -> 39 [size =\"49084416\"]\n  15 [size=\"59122347\", alpha=\"0.19\", expect_size=\"17736704\"] \n  15 -> 29 [size =\"17736704\"]\n  15 -> 30 [size =\"17736704\"]\n  15 -> 31 [size =\"17736704\"]\n  15 -> 33 [size =\"17736704\"]\n  15 -> 34 [size =\"17736704\"]\n  15 -> 35 [size =\"17736704\"]\n  15 -> 36 [size =\"17736704\"]\n  15 -> 39 [size =\"17736704\"]\n  16 [size=\"25828693\", alpha=\"0.09\", expect_size=\"7748608\"] \n  16 -> 29 [size =\"7748608\"]\n  16 -> 30 [size =\"7748608\"]\n  16 -> 34 [size =\"7748608\"]\n  16 -> 39 [size =\"7748608\"]\n  17 [size=\"77940053\", alpha=\"0.04\", expect_size=\"23382016\"] \n  17 -> 28 [size =\"23382016\"]\n  17 -> 29 [size =\"23382016\"]\n  17 -> 34 [size =\"23382016\"]\n  18 [size=\"136147627\", alpha=\"0.19\", expect_size=\"40844288\"] \n  18 -> 30 [size =\"40844288\"]\n  18 -> 32 [size =\"40844288\"]\n  18 -> 34 [size =\"40844288\"]\n  18 -> 35 [size =\"40844288\"]\n  18 -> 40 [size =\"40844288\"]\n  19 [size=\"159102293\", alpha=\"0.10\", expect_size=\"47730688\"] \n  19 -> 34 [size =\"47730688\"]\n  19 -> 35 [size =\"47730688\"]\n  19 -> 36 [size =\"47730688\"]\n  19 -> 38 [size =\"47730688\"]\n  19 -> 39 [size =\"47730688\"]\n  19 -> 40 [size =\"47730688\"]\n  20 [size=\"41840640\", alpha=\"0.04\", expect_size=\"12552192\"] \n  20 -> 34 [size =\"12552192\"]\n  20 -> 35 [size =\"12552192\"]\n  20 -> 39 [size =\"12552192\"]\n  20 -> 40 [size =\"12552192\"]\n  21 [size=\"18520747\", alpha=\"0.19\", expect_size=\"5556224\"] \n  21 -> 29 [size =\"5556224\"]\n  21 -> 30 [size =\"5556224\"]\n  21 -> 33 [size =\"5556224\"]\n  21 -> 34 [size =\"5556224\"]\n  21 -> 35 [size =\"5556224\"]\n  21 -> 39 [size =\"5556224\"]\n  22 [size=\"168458240\", alpha=\"0.16\", expect_size=\"50537472\"] \n  22 -> 28 [size =\"50537472\"]\n  22 -> 30 [size =\"50537472\"]\n  22 -> 32 [size =\"50537472\"]\n  22 -> 34 [size =\"50537472\"]\n  22 -> 35 [size =\"50537472\"]\n  22 -> 37 [size =\"50537472\"]\n  22 -> 39 [size =\"50537472\"]\n  23 [size=\"100201813\", alpha=\"0.02\", expect_size=\"30060544\"] \n  23 -> 30 [size =\"30060544\"]\n  23 -> 33 [size =\"30060544\"]\n  23 -> 34 [size =\"30060544\"]\n  23 -> 39 [size =\"30060544\"]\n  23 -> 40 [size =\"30060544\"]\n  24 [size=\"109141333\", alpha=\"0.06\", expect_size=\"32742400\"] \n  24 -> 34 [size =\"32742400\"]\n  24 -> 35 [size =\"32742400\"]\n  24 -> 39 [size =\"32742400\"]\n  24 -> 39 [size =\"32742400\"]\n  25 [size=\"89210880\", alpha=\"0.13\", expect_size=\"26763264\"] \n  25 -> 29 [size =\"26763264\"]\n  25 -> 31 [size =\"26763264\"]\n  25 -> 34 [size =\"26763264\"]\n  25 -> 35 [size =\"26763264\"]\n  26 [size=\"80547840\", alpha=\"0.15\", expect_size=\"24164352\"] \n  26 -> 29 [size =\"24164352\"]\n  26 -> 30 [size =\"24164352\"]\n  26 -> 34 [size =\"24164352\"]\n  26 -> 35 [size =\"24164352\"]\n  26 -> 39 [size =\"24164352\"]\n  27 [size=\"153716053\", alpha=\"0.01\", expect_size=\"46114816\"] \n  27 -> 29 [size =\"46114816\"]\n  27 -> 30 [size =\"46114816\"]\n  27 -> 32 [size =\"46114816\"]\n  27 -> 34 [size =\"46114816\"]\n  27 -> 35 [size =\"46114816\"]\n  27 -> 37 [size =\"46114816\"]\n  27 -> 39 [size =\"46114816\"]\n  28 [size=\"25470293\", alpha=\"0.04\", expect_size=\"7641088\"] \n  29 [size=\"18414933\", alpha=\"0.19\", expect_size=\"5524480\"] \n  30 [size=\"95744000\", alpha=\"0.01\", expect_size=\"28723200\"] \n  31 [size=\"127757653\", alpha=\"0.04\", expect_size=\"38327296\"] \n  32 [size=\"120582827\", alpha=\"0.10\", expect_size=\"36174848\"] \n  33 [size=\"85275307\", alpha=\"0.03\", expect_size=\"25582592\"] \n  34 [size=\"102785707\", alpha=\"0.14\", expect_size=\"30835712\"] \n  35 [size=\"146449067\", alpha=\"0.11\", expect_size=\"43934720\"] \n  36 [size=\"87773867\", alpha=\"0.08\", expect_size=\"26332160\"] \n  37 [size=\"51046400\", alpha=\"0.14\", expect_size=\"15313920\"] \n  38 [size=\"60928000\", alpha=\"0.14\", expect_size=\"18278400\"] \n  39 [size=\"88859307\", alpha=\"0.12\", expect_size=\"26657792\"] \n  40 [size=\"77117440\", alpha=\"0.14\", expect_size=\"23135232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127170560\", alpha=\"0.03\", expect_size=\"50868224\"] \n  1 -> 2 [size =\"50868224\"]\n  2 [size=\"59755520\", alpha=\"0.06\", expect_size=\"23902208\"] \n  2 -> 3 [size =\"23902208\"]\n  3 [size=\"50129920\", alpha=\"0.13\", expect_size=\"20051968\"] \n  3 -> 4 [size =\"20051968\"]\n  4 [size=\"85908480\", alpha=\"0.03\", expect_size=\"34363392\"] \n  4 -> 5 [size =\"34363392\"]\n  5 [size=\"79877120\", alpha=\"0.19\", expect_size=\"31950848\"] \n  5 -> 6 [size =\"31950848\"]\n  6 [size=\"44994560\", alpha=\"0.09\", expect_size=\"17997824\"] \n  6 -> 7 [size =\"17997824\"]\n  7 [size=\"25827840\", alpha=\"0.12\", expect_size=\"10331136\"] \n  7 -> 8 [size =\"10331136\"]\n  8 [size=\"49349120\", alpha=\"0.02\", expect_size=\"19739648\"] \n  8 -> 9 [size =\"19739648\"]\n  9 [size=\"102947840\", alpha=\"0.19\", expect_size=\"41179136\"] \n  9 -> 10 [size =\"41179136\"]\n  10 [size=\"33896960\", alpha=\"0.03\", expect_size=\"13558784\"] \n  10 -> 11 [size =\"13558784\"]\n  11 [size=\"52730880\", alpha=\"0.10\", expect_size=\"21092352\"] \n  11 -> 12 [size =\"21092352\"]\n  12 [size=\"70205440\", alpha=\"0.09\", expect_size=\"28082176\"] \n  12 -> 13 [size =\"28082176\"]\n  13 [size=\"106821120\", alpha=\"0.18\", expect_size=\"42728448\"] \n  13 -> 14 [size =\"42728448\"]\n  14 [size=\"68288000\", alpha=\"0.06\", expect_size=\"27315200\"] \n  14 -> 15 [size =\"27315200\"]\n  15 [size=\"84664320\", alpha=\"0.19\", expect_size=\"33865728\"] \n  15 -> 16 [size =\"33865728\"]\n  16 [size=\"80535040\", alpha=\"0.14\", expect_size=\"32214016\"] \n  16 -> 17 [size =\"32214016\"]\n  17 [size=\"17461760\", alpha=\"0.11\", expect_size=\"6984704\"] \n  17 -> 18 [size =\"6984704\"]\n  18 [size=\"90365440\", alpha=\"0.02\", expect_size=\"36146176\"] \n  18 -> 19 [size =\"36146176\"]\n  19 [size=\"104496640\", alpha=\"0.05\", expect_size=\"41798656\"] \n  19 -> 20 [size =\"41798656\"]\n  20 [size=\"99591680\", alpha=\"0.10\", expect_size=\"39836672\"] \n  20 -> 21 [size =\"39836672\"]\n  21 [size=\"118722560\", alpha=\"0.14\", expect_size=\"47489024\"] \n  21 -> 22 [size =\"47489024\"]\n  22 [size=\"62264320\", alpha=\"0.07\", expect_size=\"24905728\"] \n  22 -> 23 [size =\"24905728\"]\n  23 [size=\"113658880\", alpha=\"0.06\", expect_size=\"45463552\"] \n  23 -> 24 [size =\"45463552\"]\n  24 [size=\"99376640\", alpha=\"0.17\", expect_size=\"39750656\"] \n  24 -> 25 [size =\"39750656\"]\n  25 [size=\"18841600\", alpha=\"0.19\", expect_size=\"7536640\"] \n  25 -> 26 [size =\"7536640\"]\n  26 [size=\"13634560\", alpha=\"0.07\", expect_size=\"5453824\"] \n  26 -> 27 [size =\"5453824\"]\n  27 [size=\"93777920\", alpha=\"0.17\", expect_size=\"37511168\"] \n  27 -> 28 [size =\"37511168\"]\n  28 [size=\"40975360\", alpha=\"0.13\", expect_size=\"16390144\"] \n  28 -> 29 [size =\"16390144\"]\n  29 [size=\"53870080\", alpha=\"0.04\", expect_size=\"21548032\"] \n  29 -> 30 [size =\"21548032\"]\n  30 [size=\"81740800\", alpha=\"0.19\", expect_size=\"32696320\"] \n  30 -> 31 [size =\"32696320\"]\n  31 [size=\"22156800\", alpha=\"0.00\", expect_size=\"8862720\"] \n  31 -> 32 [size =\"8862720\"]\n  32 [size=\"107151360\", alpha=\"0.12\", expect_size=\"42860544\"] \n  32 -> 33 [size =\"42860544\"]\n  33 [size=\"29475840\", alpha=\"0.19\", expect_size=\"11790336\"] \n  33 -> 34 [size =\"11790336\"]\n  34 [size=\"62087680\", alpha=\"0.15\", expect_size=\"24835072\"] \n  34 -> 35 [size =\"24835072\"]\n  35 [size=\"41861120\", alpha=\"0.04\", expect_size=\"16744448\"] \n  35 -> 36 [size =\"16744448\"]\n  36 [size=\"35563520\", alpha=\"0.04\", expect_size=\"14225408\"] \n  36 -> 37 [size =\"14225408\"]\n  37 [size=\"75089920\", alpha=\"0.05\", expect_size=\"30035968\"] \n  37 -> 38 [size =\"30035968\"]\n  38 [size=\"55193600\", alpha=\"0.18\", expect_size=\"22077440\"] \n  38 -> 39 [size =\"22077440\"]\n  39 [size=\"130086400\", alpha=\"0.08\", expect_size=\"52034560\"] \n  39 -> 40 [size =\"52034560\"]\n  40 [size=\"35712000\", alpha=\"0.12\", expect_size=\"14284800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100646912\", alpha=\"0.10\", expect_size=\"50323456\"] \n  1 -> 5 [size =\"50323456\"]\n  1 -> 7 [size =\"50323456\"]\n  2 [size=\"26984448\", alpha=\"0.05\", expect_size=\"13492224\"] \n  2 -> 5 [size =\"13492224\"]\n  2 -> 6 [size =\"13492224\"]\n  2 -> 7 [size =\"13492224\"]\n  3 [size=\"72710144\", alpha=\"0.07\", expect_size=\"36355072\"] \n  4 [size=\"94795776\", alpha=\"0.04\", expect_size=\"47397888\"] \n  4 -> 5 [size =\"47397888\"]\n  4 -> 7 [size =\"47397888\"]\n  4 -> 8 [size =\"47397888\"]\n  5 [size=\"40736768\", alpha=\"0.01\", expect_size=\"20368384\"] \n  5 -> 11 [size =\"20368384\"]\n  5 -> 13 [size =\"20368384\"]\n  6 [size=\"20715520\", alpha=\"0.03\", expect_size=\"10357760\"] \n  6 -> 9 [size =\"10357760\"]\n  6 -> 10 [size =\"10357760\"]\n  6 -> 12 [size =\"10357760\"]\n  7 [size=\"14915584\", alpha=\"0.05\", expect_size=\"7457792\"] \n  7 -> 10 [size =\"7457792\"]\n  7 -> 12 [size =\"7457792\"]\n  7 -> 12 [size =\"7457792\"]\n  8 [size=\"89673728\", alpha=\"0.19\", expect_size=\"44836864\"] \n  8 -> 10 [size =\"44836864\"]\n  9 [size=\"19122176\", alpha=\"0.06\", expect_size=\"9561088\"] \n  9 -> 15 [size =\"9561088\"]\n  9 -> 17 [size =\"9561088\"]\n  10 [size=\"68935680\", alpha=\"0.04\", expect_size=\"34467840\"] \n  10 -> 15 [size =\"34467840\"]\n  10 -> 16 [size =\"34467840\"]\n  10 -> 17 [size =\"34467840\"]\n  11 [size=\"48695296\", alpha=\"0.01\", expect_size=\"24347648\"] \n  11 -> 15 [size =\"24347648\"]\n  11 -> 19 [size =\"24347648\"]\n  12 [size=\"96505856\", alpha=\"0.17\", expect_size=\"48252928\"] \n  12 -> 14 [size =\"48252928\"]\n  12 -> 15 [size =\"48252928\"]\n  12 -> 17 [size =\"48252928\"]\n  13 [size=\"24174592\", alpha=\"0.00\", expect_size=\"12087296\"] \n  13 -> 17 [size =\"12087296\"]\n  13 -> 18 [size =\"12087296\"]\n  14 [size=\"56295424\", alpha=\"0.18\", expect_size=\"28147712\"] \n  14 -> 24 [size =\"28147712\"]\n  15 [size=\"74498048\", alpha=\"0.00\", expect_size=\"37249024\"] \n  15 -> 20 [size =\"37249024\"]\n  15 -> 22 [size =\"37249024\"]\n  16 [size=\"80240640\", alpha=\"0.12\", expect_size=\"40120320\"] \n  16 -> 24 [size =\"40120320\"]\n  17 [size=\"96036864\", alpha=\"0.20\", expect_size=\"48018432\"] \n  17 -> 22 [size =\"48018432\"]\n  17 -> 24 [size =\"48018432\"]\n  17 -> 25 [size =\"48018432\"]\n  17 -> 26 [size =\"48018432\"]\n  18 [size=\"23625728\", alpha=\"0.06\", expect_size=\"11812864\"] \n  18 -> 20 [size =\"11812864\"]\n  18 -> 22 [size =\"11812864\"]\n  18 -> 24 [size =\"11812864\"]\n  19 [size=\"17573888\", alpha=\"0.15\", expect_size=\"8786944\"] \n  19 -> 20 [size =\"8786944\"]\n  19 -> 21 [size =\"8786944\"]\n  19 -> 23 [size =\"8786944\"]\n  19 -> 24 [size =\"8786944\"]\n  20 [size=\"45531136\", alpha=\"0.18\", expect_size=\"22765568\"] \n  20 -> 29 [size =\"22765568\"]\n  20 -> 34 [size =\"22765568\"]\n  21 [size=\"64233472\", alpha=\"0.00\", expect_size=\"32116736\"] \n  21 -> 27 [size =\"32116736\"]\n  21 -> 29 [size =\"32116736\"]\n  21 -> 30 [size =\"32116736\"]\n  21 -> 33 [size =\"32116736\"]\n  21 -> 34 [size =\"32116736\"]\n  22 [size=\"69332992\", alpha=\"0.06\", expect_size=\"34666496\"] \n  22 -> 27 [size =\"34666496\"]\n  22 -> 29 [size =\"34666496\"]\n  22 -> 34 [size =\"34666496\"]\n  23 [size=\"56688640\", alpha=\"0.05\", expect_size=\"28344320\"] \n  23 -> 29 [size =\"28344320\"]\n  23 -> 31 [size =\"28344320\"]\n  23 -> 34 [size =\"28344320\"]\n  24 [size=\"57733120\", alpha=\"0.02\", expect_size=\"28866560\"] \n  24 -> 33 [size =\"28866560\"]\n  25 [size=\"48480256\", alpha=\"0.05\", expect_size=\"24240128\"] \n  25 -> 28 [size =\"24240128\"]\n  25 -> 30 [size =\"24240128\"]\n  25 -> 31 [size =\"24240128\"]\n  25 -> 33 [size =\"24240128\"]\n  26 [size=\"49547264\", alpha=\"0.10\", expect_size=\"24773632\"] \n  26 -> 29 [size =\"24773632\"]\n  26 -> 31 [size =\"24773632\"]\n  26 -> 32 [size =\"24773632\"]\n  26 -> 33 [size =\"24773632\"]\n  26 -> 34 [size =\"24773632\"]\n  27 [size=\"104163328\", alpha=\"0.17\", expect_size=\"52081664\"] \n  27 -> 36 [size =\"52081664\"]\n  27 -> 38 [size =\"52081664\"]\n  27 -> 40 [size =\"52081664\"]\n  28 [size=\"103915520\", alpha=\"0.20\", expect_size=\"51957760\"] \n  29 [size=\"35624960\", alpha=\"0.05\", expect_size=\"17812480\"] \n  29 -> 38 [size =\"17812480\"]\n  30 [size=\"104570880\", alpha=\"0.02\", expect_size=\"52285440\"] \n  30 -> 36 [size =\"52285440\"]\n  30 -> 37 [size =\"52285440\"]\n  30 -> 38 [size =\"52285440\"]\n  31 [size=\"94156800\", alpha=\"0.08\", expect_size=\"47078400\"] \n  31 -> 36 [size =\"47078400\"]\n  32 [size=\"94545920\", alpha=\"0.11\", expect_size=\"47272960\"] \n  32 -> 35 [size =\"47272960\"]\n  32 -> 39 [size =\"47272960\"]\n  32 -> 40 [size =\"47272960\"]\n  33 [size=\"27863040\", alpha=\"0.18\", expect_size=\"13931520\"] \n  33 -> 35 [size =\"13931520\"]\n  33 -> 36 [size =\"13931520\"]\n  33 -> 37 [size =\"13931520\"]\n  33 -> 38 [size =\"13931520\"]\n  33 -> 39 [size =\"13931520\"]\n  33 -> 40 [size =\"13931520\"]\n  34 [size=\"50706432\", alpha=\"0.14\", expect_size=\"25353216\"] \n  34 -> 35 [size =\"25353216\"]\n  34 -> 39 [size =\"25353216\"]\n  34 -> 40 [size =\"25353216\"]\n  35 [size=\"58644480\", alpha=\"0.04\", expect_size=\"29322240\"] \n  36 [size=\"81926144\", alpha=\"0.09\", expect_size=\"40963072\"] \n  37 [size=\"36411392\", alpha=\"0.12\", expect_size=\"18205696\"] \n  38 [size=\"20901888\", alpha=\"0.17\", expect_size=\"10450944\"] \n  39 [size=\"20215808\", alpha=\"0.04\", expect_size=\"10107904\"] \n  40 [size=\"42991616\", alpha=\"0.19\", expect_size=\"21495808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35342336\", alpha=\"0.04\", expect_size=\"17671168\"] \n  1 -> 9 [size =\"17671168\"]\n  1 -> 10 [size =\"17671168\"]\n  1 -> 11 [size =\"17671168\"]\n  1 -> 12 [size =\"17671168\"]\n  2 [size=\"84744192\", alpha=\"0.16\", expect_size=\"42372096\"] \n  2 -> 8 [size =\"42372096\"]\n  2 -> 9 [size =\"42372096\"]\n  3 [size=\"20570112\", alpha=\"0.08\", expect_size=\"10285056\"] \n  3 -> 10 [size =\"10285056\"]\n  4 [size=\"73529344\", alpha=\"0.06\", expect_size=\"36764672\"] \n  4 -> 7 [size =\"36764672\"]\n  4 -> 10 [size =\"36764672\"]\n  5 [size=\"39514112\", alpha=\"0.14\", expect_size=\"19757056\"] \n  5 -> 9 [size =\"19757056\"]\n  5 -> 12 [size =\"19757056\"]\n  6 [size=\"72595456\", alpha=\"0.19\", expect_size=\"36297728\"] \n  6 -> 9 [size =\"36297728\"]\n  6 -> 10 [size =\"36297728\"]\n  6 -> 12 [size =\"36297728\"]\n  7 [size=\"59627520\", alpha=\"0.12\", expect_size=\"29813760\"] \n  7 -> 13 [size =\"29813760\"]\n  7 -> 16 [size =\"29813760\"]\n  7 -> 18 [size =\"29813760\"]\n  8 [size=\"75399168\", alpha=\"0.08\", expect_size=\"37699584\"] \n  8 -> 14 [size =\"37699584\"]\n  8 -> 15 [size =\"37699584\"]\n  9 [size=\"66707456\", alpha=\"0.18\", expect_size=\"33353728\"] \n  10 [size=\"66635776\", alpha=\"0.05\", expect_size=\"33317888\"] \n  10 -> 14 [size =\"33317888\"]\n  10 -> 17 [size =\"33317888\"]\n  11 [size=\"50712576\", alpha=\"0.00\", expect_size=\"25356288\"] \n  11 -> 15 [size =\"25356288\"]\n  11 -> 17 [size =\"25356288\"]\n  12 [size=\"68866048\", alpha=\"0.19\", expect_size=\"34433024\"] \n  12 -> 13 [size =\"34433024\"]\n  12 -> 15 [size =\"34433024\"]\n  13 [size=\"50161664\", alpha=\"0.03\", expect_size=\"25080832\"] \n  13 -> 20 [size =\"25080832\"]\n  13 -> 21 [size =\"25080832\"]\n  13 -> 23 [size =\"25080832\"]\n  14 [size=\"90083328\", alpha=\"0.08\", expect_size=\"45041664\"] \n  14 -> 19 [size =\"45041664\"]\n  14 -> 22 [size =\"45041664\"]\n  15 [size=\"22908928\", alpha=\"0.17\", expect_size=\"11454464\"] \n  15 -> 21 [size =\"11454464\"]\n  16 [size=\"88569856\", alpha=\"0.04\", expect_size=\"44284928\"] \n  16 -> 20 [size =\"44284928\"]\n  16 -> 21 [size =\"44284928\"]\n  16 -> 22 [size =\"44284928\"]\n  17 [size=\"84797440\", alpha=\"0.10\", expect_size=\"42398720\"] \n  17 -> 20 [size =\"42398720\"]\n  17 -> 22 [size =\"42398720\"]\n  17 -> 23 [size =\"42398720\"]\n  18 [size=\"45860864\", alpha=\"0.15\", expect_size=\"22930432\"] \n  18 -> 23 [size =\"22930432\"]\n  19 [size=\"84514816\", alpha=\"0.15\", expect_size=\"42257408\"] \n  19 -> 26 [size =\"42257408\"]\n  20 [size=\"74268672\", alpha=\"0.16\", expect_size=\"37134336\"] \n  20 -> 26 [size =\"37134336\"]\n  20 -> 28 [size =\"37134336\"]\n  20 -> 29 [size =\"37134336\"]\n  21 [size=\"98097152\", alpha=\"0.03\", expect_size=\"49048576\"] \n  21 -> 24 [size =\"49048576\"]\n  21 -> 25 [size =\"49048576\"]\n  21 -> 27 [size =\"49048576\"]\n  21 -> 28 [size =\"49048576\"]\n  22 [size=\"98498560\", alpha=\"0.06\", expect_size=\"49249280\"] \n  22 -> 25 [size =\"49249280\"]\n  22 -> 26 [size =\"49249280\"]\n  22 -> 27 [size =\"49249280\"]\n  22 -> 28 [size =\"49249280\"]\n  23 [size=\"92002304\", alpha=\"0.10\", expect_size=\"46001152\"] \n  23 -> 25 [size =\"46001152\"]\n  23 -> 27 [size =\"46001152\"]\n  24 [size=\"10643456\", alpha=\"0.08\", expect_size=\"5321728\"] \n  24 -> 32 [size =\"5321728\"]\n  25 [size=\"47976448\", alpha=\"0.12\", expect_size=\"23988224\"] \n  26 [size=\"33964032\", alpha=\"0.10\", expect_size=\"16982016\"] \n  26 -> 31 [size =\"16982016\"]\n  26 -> 33 [size =\"16982016\"]\n  27 [size=\"51585024\", alpha=\"0.17\", expect_size=\"25792512\"] \n  27 -> 30 [size =\"25792512\"]\n  27 -> 33 [size =\"25792512\"]\n  27 -> 34 [size =\"25792512\"]\n  28 [size=\"96960512\", alpha=\"0.19\", expect_size=\"48480256\"] \n  28 -> 32 [size =\"48480256\"]\n  28 -> 33 [size =\"48480256\"]\n  28 -> 34 [size =\"48480256\"]\n  29 [size=\"71917568\", alpha=\"0.12\", expect_size=\"35958784\"] \n  29 -> 30 [size =\"35958784\"]\n  29 -> 34 [size =\"35958784\"]\n  30 [size=\"48381952\", alpha=\"0.17\", expect_size=\"24190976\"] \n  30 -> 37 [size =\"24190976\"]\n  30 -> 38 [size =\"24190976\"]\n  30 -> 39 [size =\"24190976\"]\n  31 [size=\"31727616\", alpha=\"0.11\", expect_size=\"15863808\"] \n  31 -> 36 [size =\"15863808\"]\n  31 -> 38 [size =\"15863808\"]\n  32 [size=\"46813184\", alpha=\"0.17\", expect_size=\"23406592\"] \n  32 -> 39 [size =\"23406592\"]\n  33 [size=\"73527296\", alpha=\"0.12\", expect_size=\"36763648\"] \n  33 -> 35 [size =\"36763648\"]\n  34 [size=\"27582464\", alpha=\"0.03\", expect_size=\"13791232\"] \n  34 -> 38 [size =\"13791232\"]\n  35 [size=\"66396160\", alpha=\"0.17\", expect_size=\"33198080\"] \n  35 -> 40 [size =\"33198080\"]\n  36 [size=\"30253056\", alpha=\"0.08\", expect_size=\"15126528\"] \n  37 [size=\"75638784\", alpha=\"0.14\", expect_size=\"37819392\"] \n  38 [size=\"62949376\", alpha=\"0.08\", expect_size=\"31474688\"] \n  39 [size=\"57102336\", alpha=\"0.18\", expect_size=\"28551168\"] \n  40 [size=\"19947520\", alpha=\"0.01\", expect_size=\"9973760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37524480\", alpha=\"0.02\", expect_size=\"15009792\"] \n  1 -> 3 [size =\"15009792\"]\n  1 -> 4 [size =\"15009792\"]\n  2 [size=\"126947840\", alpha=\"0.02\", expect_size=\"50779136\"] \n  2 -> 3 [size =\"50779136\"]\n  2 -> 4 [size =\"50779136\"]\n  3 [size=\"121136640\", alpha=\"0.19\", expect_size=\"48454656\"] \n  3 -> 5 [size =\"48454656\"]\n  3 -> 6 [size =\"48454656\"]\n  4 [size=\"67223040\", alpha=\"0.16\", expect_size=\"26889216\"] \n  4 -> 5 [size =\"26889216\"]\n  4 -> 6 [size =\"26889216\"]\n  4 -> 7 [size =\"26889216\"]\n  5 [size=\"111915520\", alpha=\"0.16\", expect_size=\"44766208\"] \n  5 -> 8 [size =\"44766208\"]\n  6 [size=\"22049280\", alpha=\"0.19\", expect_size=\"8819712\"] \n  6 -> 8 [size =\"8819712\"]\n  6 -> 9 [size =\"8819712\"]\n  7 [size=\"124912640\", alpha=\"0.01\", expect_size=\"49965056\"] \n  7 -> 8 [size =\"49965056\"]\n  8 [size=\"116262400\", alpha=\"0.09\", expect_size=\"46504960\"] \n  8 -> 10 [size =\"46504960\"]\n  8 -> 11 [size =\"46504960\"]\n  8 -> 12 [size =\"46504960\"]\n  9 [size=\"82918400\", alpha=\"0.14\", expect_size=\"33167360\"] \n  9 -> 10 [size =\"33167360\"]\n  9 -> 11 [size =\"33167360\"]\n  9 -> 12 [size =\"33167360\"]\n  10 [size=\"13573120\", alpha=\"0.06\", expect_size=\"5429248\"] \n  10 -> 13 [size =\"5429248\"]\n  11 [size=\"48240640\", alpha=\"0.09\", expect_size=\"19296256\"] \n  11 -> 13 [size =\"19296256\"]\n  11 -> 14 [size =\"19296256\"]\n  12 [size=\"62446080\", alpha=\"0.11\", expect_size=\"24978432\"] \n  12 -> 13 [size =\"24978432\"]\n  13 [size=\"75535360\", alpha=\"0.17\", expect_size=\"30214144\"] \n  13 -> 15 [size =\"30214144\"]\n  13 -> 16 [size =\"30214144\"]\n  14 [size=\"67192320\", alpha=\"0.11\", expect_size=\"26876928\"] \n  14 -> 16 [size =\"26876928\"]\n  15 [size=\"41751040\", alpha=\"0.11\", expect_size=\"16700416\"] \n  15 -> 18 [size =\"16700416\"]\n  15 -> 19 [size =\"16700416\"]\n  16 [size=\"21061120\", alpha=\"0.08\", expect_size=\"8424448\"] \n  16 -> 17 [size =\"8424448\"]\n  16 -> 19 [size =\"8424448\"]\n  17 [size=\"14950400\", alpha=\"0.05\", expect_size=\"5980160\"] \n  17 -> 20 [size =\"5980160\"]\n  17 -> 21 [size =\"5980160\"]\n  18 [size=\"18862080\", alpha=\"0.11\", expect_size=\"7544832\"] \n  18 -> 20 [size =\"7544832\"]\n  18 -> 21 [size =\"7544832\"]\n  19 [size=\"72711680\", alpha=\"0.18\", expect_size=\"29084672\"] \n  19 -> 20 [size =\"29084672\"]\n  20 [size=\"35998720\", alpha=\"0.17\", expect_size=\"14399488\"] \n  20 -> 22 [size =\"14399488\"]\n  20 -> 23 [size =\"14399488\"]\n  21 [size=\"73546240\", alpha=\"0.01\", expect_size=\"29418496\"] \n  21 -> 22 [size =\"29418496\"]\n  21 -> 23 [size =\"29418496\"]\n  22 [size=\"128634880\", alpha=\"0.04\", expect_size=\"51453952\"] \n  22 -> 25 [size =\"51453952\"]\n  22 -> 26 [size =\"51453952\"]\n  23 [size=\"74053120\", alpha=\"0.05\", expect_size=\"29621248\"] \n  23 -> 24 [size =\"29621248\"]\n  23 -> 25 [size =\"29621248\"]\n  23 -> 26 [size =\"29621248\"]\n  24 [size=\"55096320\", alpha=\"0.15\", expect_size=\"22038528\"] \n  24 -> 27 [size =\"22038528\"]\n  25 [size=\"118115840\", alpha=\"0.02\", expect_size=\"47246336\"] \n  25 -> 27 [size =\"47246336\"]\n  25 -> 28 [size =\"47246336\"]\n  26 [size=\"62991360\", alpha=\"0.11\", expect_size=\"25196544\"] \n  27 [size=\"110423040\", alpha=\"0.18\", expect_size=\"44169216\"] \n  27 -> 29 [size =\"44169216\"]\n  27 -> 30 [size =\"44169216\"]\n  28 [size=\"24837120\", alpha=\"0.03\", expect_size=\"9934848\"] \n  28 -> 29 [size =\"9934848\"]\n  28 -> 30 [size =\"9934848\"]\n  29 [size=\"86976000\", alpha=\"0.00\", expect_size=\"34790400\"] \n  29 -> 31 [size =\"34790400\"]\n  29 -> 32 [size =\"34790400\"]\n  30 [size=\"74775040\", alpha=\"0.17\", expect_size=\"29910016\"] \n  30 -> 31 [size =\"29910016\"]\n  30 -> 32 [size =\"29910016\"]\n  31 [size=\"58844160\", alpha=\"0.20\", expect_size=\"23537664\"] \n  31 -> 33 [size =\"23537664\"]\n  31 -> 34 [size =\"23537664\"]\n  31 -> 35 [size =\"23537664\"]\n  32 [size=\"63605760\", alpha=\"0.11\", expect_size=\"25442304\"] \n  32 -> 33 [size =\"25442304\"]\n  32 -> 34 [size =\"25442304\"]\n  32 -> 35 [size =\"25442304\"]\n  33 [size=\"84935680\", alpha=\"0.13\", expect_size=\"33974272\"] \n  33 -> 36 [size =\"33974272\"]\n  33 -> 37 [size =\"33974272\"]\n  34 [size=\"112898560\", alpha=\"0.04\", expect_size=\"45159424\"] \n  34 -> 36 [size =\"45159424\"]\n  34 -> 37 [size =\"45159424\"]\n  34 -> 38 [size =\"45159424\"]\n  35 [size=\"83645440\", alpha=\"0.20\", expect_size=\"33458176\"] \n  35 -> 36 [size =\"33458176\"]\n  35 -> 37 [size =\"33458176\"]\n  35 -> 38 [size =\"33458176\"]\n  36 [size=\"95989760\", alpha=\"0.17\", expect_size=\"38395904\"] \n  36 -> 39 [size =\"38395904\"]\n  36 -> 40 [size =\"38395904\"]\n  37 [size=\"40906240\", alpha=\"0.15\", expect_size=\"16362496\"] \n  38 [size=\"30202880\", alpha=\"0.13\", expect_size=\"12081152\"] \n  38 -> 39 [size =\"12081152\"]\n  39 [size=\"49072640\", alpha=\"0.02\", expect_size=\"19629056\"] \n  40 [size=\"49364480\", alpha=\"0.14\", expect_size=\"19745792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92330667\", alpha=\"0.15\", expect_size=\"27699200\"] \n  1 -> 32 [size =\"27699200\"]\n  1 -> 36 [size =\"27699200\"]\n  1 -> 37 [size =\"27699200\"]\n  2 [size=\"165959680\", alpha=\"0.00\", expect_size=\"49787904\"] \n  2 -> 32 [size =\"49787904\"]\n  2 -> 35 [size =\"49787904\"]\n  2 -> 37 [size =\"49787904\"]\n  3 [size=\"94532267\", alpha=\"0.05\", expect_size=\"28359680\"] \n  3 -> 32 [size =\"28359680\"]\n  3 -> 34 [size =\"28359680\"]\n  3 -> 37 [size =\"28359680\"]\n  4 [size=\"86667947\", alpha=\"0.10\", expect_size=\"26000384\"] \n  4 -> 32 [size =\"26000384\"]\n  4 -> 34 [size =\"26000384\"]\n  5 [size=\"108660053\", alpha=\"0.13\", expect_size=\"32598016\"] \n  5 -> 32 [size =\"32598016\"]\n  5 -> 35 [size =\"32598016\"]\n  5 -> 36 [size =\"32598016\"]\n  5 -> 37 [size =\"32598016\"]\n  6 [size=\"132727467\", alpha=\"0.09\", expect_size=\"39818240\"] \n  6 -> 36 [size =\"39818240\"]\n  6 -> 37 [size =\"39818240\"]\n  6 -> 38 [size =\"39818240\"]\n  7 [size=\"34157227\", alpha=\"0.10\", expect_size=\"10247168\"] \n  7 -> 33 [size =\"10247168\"]\n  8 [size=\"41570987\", alpha=\"0.18\", expect_size=\"12471296\"] \n  8 -> 33 [size =\"12471296\"]\n  8 -> 35 [size =\"12471296\"]\n  8 -> 36 [size =\"12471296\"]\n  9 [size=\"154651307\", alpha=\"0.19\", expect_size=\"46395392\"] \n  9 -> 33 [size =\"46395392\"]\n  9 -> 35 [size =\"46395392\"]\n  9 -> 36 [size =\"46395392\"]\n  10 [size=\"168089600\", alpha=\"0.14\", expect_size=\"50426880\"] \n  10 -> 34 [size =\"50426880\"]\n  10 -> 35 [size =\"50426880\"]\n  10 -> 40 [size =\"50426880\"]\n  11 [size=\"20640427\", alpha=\"0.20\", expect_size=\"6192128\"] \n  11 -> 33 [size =\"6192128\"]\n  11 -> 34 [size =\"6192128\"]\n  12 [size=\"136717653\", alpha=\"0.16\", expect_size=\"41015296\"] \n  12 -> 32 [size =\"41015296\"]\n  12 -> 34 [size =\"41015296\"]\n  13 [size=\"138987520\", alpha=\"0.18\", expect_size=\"41696256\"] \n  13 -> 32 [size =\"41696256\"]\n  13 -> 35 [size =\"41696256\"]\n  13 -> 37 [size =\"41696256\"]\n  14 [size=\"18466133\", alpha=\"0.09\", expect_size=\"5539840\"] \n  14 -> 36 [size =\"5539840\"]\n  14 -> 37 [size =\"5539840\"]\n  15 [size=\"99157333\", alpha=\"0.10\", expect_size=\"29747200\"] \n  15 -> 33 [size =\"29747200\"]\n  15 -> 34 [size =\"29747200\"]\n  15 -> 35 [size =\"29747200\"]\n  16 [size=\"44779520\", alpha=\"0.00\", expect_size=\"13433856\"] \n  16 -> 32 [size =\"13433856\"]\n  16 -> 33 [size =\"13433856\"]\n  17 [size=\"114179413\", alpha=\"0.14\", expect_size=\"34253824\"] \n  17 -> 32 [size =\"34253824\"]\n  17 -> 33 [size =\"34253824\"]\n  17 -> 34 [size =\"34253824\"]\n  17 -> 40 [size =\"34253824\"]\n  18 [size=\"37703680\", alpha=\"0.19\", expect_size=\"11311104\"] \n  18 -> 32 [size =\"11311104\"]\n  18 -> 36 [size =\"11311104\"]\n  19 [size=\"19660800\", alpha=\"0.01\", expect_size=\"5898240\"] \n  19 -> 32 [size =\"5898240\"]\n  19 -> 33 [size =\"5898240\"]\n  19 -> 34 [size =\"5898240\"]\n  19 -> 37 [size =\"5898240\"]\n  20 [size=\"171769173\", alpha=\"0.06\", expect_size=\"51530752\"] \n  20 -> 34 [size =\"51530752\"]\n  21 [size=\"128443733\", alpha=\"0.20\", expect_size=\"38533120\"] \n  21 -> 33 [size =\"38533120\"]\n  21 -> 36 [size =\"38533120\"]\n  21 -> 40 [size =\"38533120\"]\n  22 [size=\"126709760\", alpha=\"0.13\", expect_size=\"38012928\"] \n  22 -> 32 [size =\"38012928\"]\n  22 -> 33 [size =\"38012928\"]\n  22 -> 34 [size =\"38012928\"]\n  22 -> 35 [size =\"38012928\"]\n  22 -> 37 [size =\"38012928\"]\n  23 [size=\"94757547\", alpha=\"0.16\", expect_size=\"28427264\"] \n  23 -> 36 [size =\"28427264\"]\n  23 -> 39 [size =\"28427264\"]\n  23 -> 40 [size =\"28427264\"]\n  24 [size=\"77550933\", alpha=\"0.07\", expect_size=\"23265280\"] \n  24 -> 33 [size =\"23265280\"]\n  24 -> 36 [size =\"23265280\"]\n  25 [size=\"144698027\", alpha=\"0.11\", expect_size=\"43409408\"] \n  25 -> 37 [size =\"43409408\"]\n  26 [size=\"62491307\", alpha=\"0.09\", expect_size=\"18747392\"] \n  26 -> 33 [size =\"18747392\"]\n  26 -> 34 [size =\"18747392\"]\n  26 -> 37 [size =\"18747392\"]\n  27 [size=\"64771413\", alpha=\"0.09\", expect_size=\"19431424\"] \n  27 -> 32 [size =\"19431424\"]\n  27 -> 33 [size =\"19431424\"]\n  27 -> 37 [size =\"19431424\"]\n  27 -> 38 [size =\"19431424\"]\n  27 -> 40 [size =\"19431424\"]\n  28 [size=\"174175573\", alpha=\"0.12\", expect_size=\"52252672\"] \n  28 -> 32 [size =\"52252672\"]\n  28 -> 33 [size =\"52252672\"]\n  28 -> 34 [size =\"52252672\"]\n  28 -> 37 [size =\"52252672\"]\n  28 -> 40 [size =\"52252672\"]\n  29 [size=\"167782400\", alpha=\"0.12\", expect_size=\"50334720\"] \n  29 -> 38 [size =\"50334720\"]\n  30 [size=\"18042880\", alpha=\"0.12\", expect_size=\"5412864\"] \n  30 -> 34 [size =\"5412864\"]\n  30 -> 36 [size =\"5412864\"]\n  30 -> 40 [size =\"5412864\"]\n  31 [size=\"62266027\", alpha=\"0.12\", expect_size=\"18679808\"] \n  31 -> 33 [size =\"18679808\"]\n  31 -> 36 [size =\"18679808\"]\n  32 [size=\"60733440\", alpha=\"0.07\", expect_size=\"18220032\"] \n  33 [size=\"161938773\", alpha=\"0.18\", expect_size=\"48581632\"] \n  34 [size=\"128358400\", alpha=\"0.09\", expect_size=\"38507520\"] \n  35 [size=\"29187413\", alpha=\"0.10\", expect_size=\"8756224\"] \n  36 [size=\"112902827\", alpha=\"0.15\", expect_size=\"33870848\"] \n  37 [size=\"22893227\", alpha=\"0.12\", expect_size=\"6867968\"] \n  38 [size=\"90415787\", alpha=\"0.11\", expect_size=\"27124736\"] \n  39 [size=\"24989013\", alpha=\"0.11\", expect_size=\"7496704\"] \n  40 [size=\"121081173\", alpha=\"0.11\", expect_size=\"36324352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29545813\", alpha=\"0.12\", expect_size=\"8863744\"] \n  1 -> 29 [size =\"8863744\"]\n  1 -> 32 [size =\"8863744\"]\n  1 -> 35 [size =\"8863744\"]\n  1 -> 40 [size =\"8863744\"]\n  2 [size=\"155938133\", alpha=\"0.02\", expect_size=\"46781440\"] \n  2 -> 32 [size =\"46781440\"]\n  2 -> 39 [size =\"46781440\"]\n  3 [size=\"110977707\", alpha=\"0.05\", expect_size=\"33293312\"] \n  3 -> 29 [size =\"33293312\"]\n  4 [size=\"57753600\", alpha=\"0.12\", expect_size=\"17326080\"] \n  4 -> 29 [size =\"17326080\"]\n  4 -> 33 [size =\"17326080\"]\n  4 -> 34 [size =\"17326080\"]\n  4 -> 39 [size =\"17326080\"]\n  5 [size=\"104601600\", alpha=\"0.10\", expect_size=\"31380480\"] \n  5 -> 39 [size =\"31380480\"]\n  6 [size=\"56903680\", alpha=\"0.15\", expect_size=\"17071104\"] \n  6 -> 34 [size =\"17071104\"]\n  6 -> 39 [size =\"17071104\"]\n  7 [size=\"54961493\", alpha=\"0.18\", expect_size=\"16488448\"] \n  7 -> 30 [size =\"16488448\"]\n  7 -> 34 [size =\"16488448\"]\n  7 -> 39 [size =\"16488448\"]\n  8 [size=\"156030293\", alpha=\"0.17\", expect_size=\"46809088\"] \n  8 -> 34 [size =\"46809088\"]\n  8 -> 40 [size =\"46809088\"]\n  9 [size=\"139335680\", alpha=\"0.13\", expect_size=\"41800704\"] \n  9 -> 32 [size =\"41800704\"]\n  9 -> 40 [size =\"41800704\"]\n  10 [size=\"27805013\", alpha=\"0.02\", expect_size=\"8341504\"] \n  10 -> 28 [size =\"8341504\"]\n  10 -> 29 [size =\"8341504\"]\n  10 -> 30 [size =\"8341504\"]\n  10 -> 34 [size =\"8341504\"]\n  10 -> 36 [size =\"8341504\"]\n  10 -> 39 [size =\"8341504\"]\n  11 [size=\"167099733\", alpha=\"0.10\", expect_size=\"50129920\"] \n  11 -> 28 [size =\"50129920\"]\n  11 -> 29 [size =\"50129920\"]\n  11 -> 34 [size =\"50129920\"]\n  11 -> 35 [size =\"50129920\"]\n  12 [size=\"104587947\", alpha=\"0.01\", expect_size=\"31376384\"] \n  12 -> 29 [size =\"31376384\"]\n  12 -> 33 [size =\"31376384\"]\n  12 -> 35 [size =\"31376384\"]\n  12 -> 40 [size =\"31376384\"]\n  13 [size=\"120401920\", alpha=\"0.16\", expect_size=\"36120576\"] \n  13 -> 33 [size =\"36120576\"]\n  13 -> 34 [size =\"36120576\"]\n  13 -> 38 [size =\"36120576\"]\n  13 -> 39 [size =\"36120576\"]\n  14 [size=\"159436800\", alpha=\"0.13\", expect_size=\"47831040\"] \n  14 -> 32 [size =\"47831040\"]\n  14 -> 34 [size =\"47831040\"]\n  14 -> 36 [size =\"47831040\"]\n  14 -> 38 [size =\"47831040\"]\n  14 -> 39 [size =\"47831040\"]\n  14 -> 40 [size =\"47831040\"]\n  15 [size=\"98321067\", alpha=\"0.12\", expect_size=\"29496320\"] \n  15 -> 29 [size =\"29496320\"]\n  15 -> 40 [size =\"29496320\"]\n  16 [size=\"21507413\", alpha=\"0.00\", expect_size=\"6452224\"] \n  16 -> 40 [size =\"6452224\"]\n  17 [size=\"140762453\", alpha=\"0.16\", expect_size=\"42228736\"] \n  17 -> 29 [size =\"42228736\"]\n  17 -> 33 [size =\"42228736\"]\n  17 -> 38 [size =\"42228736\"]\n  17 -> 40 [size =\"42228736\"]\n  18 [size=\"126859947\", alpha=\"0.00\", expect_size=\"38057984\"] \n  18 -> 29 [size =\"38057984\"]\n  18 -> 34 [size =\"38057984\"]\n  18 -> 40 [size =\"38057984\"]\n  19 [size=\"100877653\", alpha=\"0.09\", expect_size=\"30263296\"] \n  19 -> 34 [size =\"30263296\"]\n  19 -> 34 [size =\"30263296\"]\n  19 -> 36 [size =\"30263296\"]\n  19 -> 39 [size =\"30263296\"]\n  20 [size=\"44479147\", alpha=\"0.18\", expect_size=\"13343744\"] \n  20 -> 29 [size =\"13343744\"]\n  20 -> 30 [size =\"13343744\"]\n  20 -> 34 [size =\"13343744\"]\n  20 -> 39 [size =\"13343744\"]\n  21 [size=\"62337707\", alpha=\"0.09\", expect_size=\"18701312\"] \n  21 -> 30 [size =\"18701312\"]\n  21 -> 31 [size =\"18701312\"]\n  21 -> 33 [size =\"18701312\"]\n  21 -> 34 [size =\"18701312\"]\n  21 -> 35 [size =\"18701312\"]\n  22 [size=\"143431680\", alpha=\"0.17\", expect_size=\"43029504\"] \n  22 -> 29 [size =\"43029504\"]\n  22 -> 33 [size =\"43029504\"]\n  23 [size=\"150070613\", alpha=\"0.17\", expect_size=\"45021184\"] \n  23 -> 28 [size =\"45021184\"]\n  23 -> 30 [size =\"45021184\"]\n  23 -> 32 [size =\"45021184\"]\n  23 -> 33 [size =\"45021184\"]\n  23 -> 40 [size =\"45021184\"]\n  24 [size=\"118801067\", alpha=\"0.02\", expect_size=\"35640320\"] \n  24 -> 29 [size =\"35640320\"]\n  24 -> 33 [size =\"35640320\"]\n  24 -> 39 [size =\"35640320\"]\n  25 [size=\"61385387\", alpha=\"0.18\", expect_size=\"18415616\"] \n  25 -> 33 [size =\"18415616\"]\n  25 -> 35 [size =\"18415616\"]\n  25 -> 37 [size =\"18415616\"]\n  25 -> 39 [size =\"18415616\"]\n  26 [size=\"155473920\", alpha=\"0.19\", expect_size=\"46642176\"] \n  26 -> 27 [size =\"46642176\"]\n  26 -> 28 [size =\"46642176\"]\n  26 -> 33 [size =\"46642176\"]\n  27 [size=\"157641387\", alpha=\"0.05\", expect_size=\"47292416\"] \n  28 [size=\"125146453\", alpha=\"0.09\", expect_size=\"37543936\"] \n  29 [size=\"125777920\", alpha=\"0.08\", expect_size=\"37733376\"] \n  30 [size=\"42154667\", alpha=\"0.08\", expect_size=\"12646400\"] \n  31 [size=\"28723200\", alpha=\"0.07\", expect_size=\"8616960\"] \n  32 [size=\"97559893\", alpha=\"0.18\", expect_size=\"29267968\"] \n  33 [size=\"72550400\", alpha=\"0.02\", expect_size=\"21765120\"] \n  34 [size=\"47202987\", alpha=\"0.03\", expect_size=\"14160896\"] \n  35 [size=\"61791573\", alpha=\"0.15\", expect_size=\"18537472\"] \n  36 [size=\"46161920\", alpha=\"0.07\", expect_size=\"13848576\"] \n  37 [size=\"39741440\", alpha=\"0.15\", expect_size=\"11922432\"] \n  38 [size=\"80022187\", alpha=\"0.17\", expect_size=\"24006656\"] \n  39 [size=\"148268373\", alpha=\"0.10\", expect_size=\"44480512\"] \n  40 [size=\"51773440\", alpha=\"0.06\", expect_size=\"15532032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46612480\", alpha=\"0.19\", expect_size=\"18644992\"] \n  1 -> 2 [size =\"18644992\"]\n  2 [size=\"14353920\", alpha=\"0.17\", expect_size=\"5741568\"] \n  2 -> 3 [size =\"5741568\"]\n  3 [size=\"103493120\", alpha=\"0.12\", expect_size=\"41397248\"] \n  3 -> 4 [size =\"41397248\"]\n  4 [size=\"35138560\", alpha=\"0.10\", expect_size=\"14055424\"] \n  4 -> 5 [size =\"14055424\"]\n  5 [size=\"17953280\", alpha=\"0.07\", expect_size=\"7181312\"] \n  5 -> 6 [size =\"7181312\"]\n  6 [size=\"71777280\", alpha=\"0.15\", expect_size=\"28710912\"] \n  6 -> 7 [size =\"28710912\"]\n  7 [size=\"113187840\", alpha=\"0.10\", expect_size=\"45275136\"] \n  7 -> 8 [size =\"45275136\"]\n  8 [size=\"89546240\", alpha=\"0.06\", expect_size=\"35818496\"] \n  8 -> 9 [size =\"35818496\"]\n  9 [size=\"47859200\", alpha=\"0.15\", expect_size=\"19143680\"] \n  9 -> 10 [size =\"19143680\"]\n  10 [size=\"29066240\", alpha=\"0.18\", expect_size=\"11626496\"] \n  10 -> 11 [size =\"11626496\"]\n  11 [size=\"30832640\", alpha=\"0.01\", expect_size=\"12333056\"] \n  11 -> 12 [size =\"12333056\"]\n  12 [size=\"23923200\", alpha=\"0.14\", expect_size=\"9569280\"] \n  12 -> 13 [size =\"9569280\"]\n  13 [size=\"124917760\", alpha=\"0.09\", expect_size=\"49967104\"] \n  13 -> 14 [size =\"49967104\"]\n  14 [size=\"76290560\", alpha=\"0.03\", expect_size=\"30516224\"] \n  14 -> 15 [size =\"30516224\"]\n  15 [size=\"18263040\", alpha=\"0.07\", expect_size=\"7305216\"] \n  15 -> 16 [size =\"7305216\"]\n  16 [size=\"61980160\", alpha=\"0.02\", expect_size=\"24792064\"] \n  16 -> 17 [size =\"24792064\"]\n  17 [size=\"30735360\", alpha=\"0.08\", expect_size=\"12294144\"] \n  17 -> 18 [size =\"12294144\"]\n  18 [size=\"90524160\", alpha=\"0.06\", expect_size=\"36209664\"] \n  18 -> 19 [size =\"36209664\"]\n  19 [size=\"128153600\", alpha=\"0.16\", expect_size=\"51261440\"] \n  19 -> 20 [size =\"51261440\"]\n  20 [size=\"96696320\", alpha=\"0.01\", expect_size=\"38678528\"] \n  20 -> 21 [size =\"38678528\"]\n  21 [size=\"84584960\", alpha=\"0.12\", expect_size=\"33833984\"] \n  21 -> 22 [size =\"33833984\"]\n  22 [size=\"89031680\", alpha=\"0.03\", expect_size=\"35612672\"] \n  22 -> 23 [size =\"35612672\"]\n  23 [size=\"51415040\", alpha=\"0.09\", expect_size=\"20566016\"] \n  23 -> 24 [size =\"20566016\"]\n  24 [size=\"104099840\", alpha=\"0.20\", expect_size=\"41639936\"] \n  24 -> 25 [size =\"41639936\"]\n  25 [size=\"124231680\", alpha=\"0.11\", expect_size=\"49692672\"] \n  25 -> 26 [size =\"49692672\"]\n  26 [size=\"50024960\", alpha=\"0.12\", expect_size=\"20009984\"] \n  26 -> 27 [size =\"20009984\"]\n  27 [size=\"61998080\", alpha=\"0.09\", expect_size=\"24799232\"] \n  27 -> 28 [size =\"24799232\"]\n  28 [size=\"109201920\", alpha=\"0.00\", expect_size=\"43680768\"] \n  28 -> 29 [size =\"43680768\"]\n  29 [size=\"24069120\", alpha=\"0.17\", expect_size=\"9627648\"] \n  29 -> 30 [size =\"9627648\"]\n  30 [size=\"115750400\", alpha=\"0.17\", expect_size=\"46300160\"] \n  30 -> 31 [size =\"46300160\"]\n  31 [size=\"120432640\", alpha=\"0.19\", expect_size=\"48173056\"] \n  31 -> 32 [size =\"48173056\"]\n  32 [size=\"71618560\", alpha=\"0.04\", expect_size=\"28647424\"] \n  32 -> 33 [size =\"28647424\"]\n  33 [size=\"88524800\", alpha=\"0.07\", expect_size=\"35409920\"] \n  33 -> 34 [size =\"35409920\"]\n  34 [size=\"25610240\", alpha=\"0.01\", expect_size=\"10244096\"] \n  34 -> 35 [size =\"10244096\"]\n  35 [size=\"22873600\", alpha=\"0.16\", expect_size=\"9149440\"] \n  35 -> 36 [size =\"9149440\"]\n  36 [size=\"85163520\", alpha=\"0.19\", expect_size=\"34065408\"] \n  36 -> 37 [size =\"34065408\"]\n  37 [size=\"35217920\", alpha=\"0.05\", expect_size=\"14087168\"] \n  37 -> 38 [size =\"14087168\"]\n  38 [size=\"91087360\", alpha=\"0.04\", expect_size=\"36434944\"] \n  38 -> 39 [size =\"36434944\"]\n  39 [size=\"93278720\", alpha=\"0.03\", expect_size=\"37311488\"] \n  39 -> 40 [size =\"37311488\"]\n  40 [size=\"76546560\", alpha=\"0.16\", expect_size=\"30618624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28057600\", alpha=\"0.09\", expect_size=\"14028800\"] \n  1 -> 24 [size =\"14028800\"]\n  1 -> 26 [size =\"14028800\"]\n  1 -> 27 [size =\"14028800\"]\n  1 -> 28 [size =\"14028800\"]\n  1 -> 28 [size =\"14028800\"]\n  1 -> 29 [size =\"14028800\"]\n  1 -> 32 [size =\"14028800\"]\n  1 -> 33 [size =\"14028800\"]\n  1 -> 35 [size =\"14028800\"]\n  1 -> 38 [size =\"14028800\"]\n  2 [size=\"41351168\", alpha=\"0.14\", expect_size=\"20675584\"] \n  2 -> 23 [size =\"20675584\"]\n  2 -> 24 [size =\"20675584\"]\n  2 -> 26 [size =\"20675584\"]\n  2 -> 28 [size =\"20675584\"]\n  2 -> 30 [size =\"20675584\"]\n  2 -> 32 [size =\"20675584\"]\n  2 -> 33 [size =\"20675584\"]\n  2 -> 34 [size =\"20675584\"]\n  2 -> 35 [size =\"20675584\"]\n  3 [size=\"30464000\", alpha=\"0.05\", expect_size=\"15232000\"] \n  3 -> 22 [size =\"15232000\"]\n  3 -> 23 [size =\"15232000\"]\n  3 -> 25 [size =\"15232000\"]\n  3 -> 26 [size =\"15232000\"]\n  3 -> 28 [size =\"15232000\"]\n  3 -> 32 [size =\"15232000\"]\n  3 -> 33 [size =\"15232000\"]\n  3 -> 35 [size =\"15232000\"]\n  3 -> 37 [size =\"15232000\"]\n  3 -> 40 [size =\"15232000\"]\n  4 [size=\"18739200\", alpha=\"0.04\", expect_size=\"9369600\"] \n  4 -> 22 [size =\"9369600\"]\n  4 -> 24 [size =\"9369600\"]\n  4 -> 28 [size =\"9369600\"]\n  4 -> 29 [size =\"9369600\"]\n  4 -> 30 [size =\"9369600\"]\n  4 -> 31 [size =\"9369600\"]\n  4 -> 32 [size =\"9369600\"]\n  4 -> 33 [size =\"9369600\"]\n  4 -> 38 [size =\"9369600\"]\n  4 -> 39 [size =\"9369600\"]\n  5 [size=\"14856192\", alpha=\"0.08\", expect_size=\"7428096\"] \n  5 -> 22 [size =\"7428096\"]\n  5 -> 24 [size =\"7428096\"]\n  5 -> 25 [size =\"7428096\"]\n  5 -> 26 [size =\"7428096\"]\n  5 -> 28 [size =\"7428096\"]\n  5 -> 31 [size =\"7428096\"]\n  5 -> 33 [size =\"7428096\"]\n  5 -> 34 [size =\"7428096\"]\n  5 -> 40 [size =\"7428096\"]\n  6 [size=\"37871616\", alpha=\"0.02\", expect_size=\"18935808\"] \n  6 -> 22 [size =\"18935808\"]\n  6 -> 23 [size =\"18935808\"]\n  6 -> 24 [size =\"18935808\"]\n  6 -> 26 [size =\"18935808\"]\n  6 -> 28 [size =\"18935808\"]\n  6 -> 31 [size =\"18935808\"]\n  6 -> 33 [size =\"18935808\"]\n  6 -> 36 [size =\"18935808\"]\n  6 -> 37 [size =\"18935808\"]\n  7 [size=\"47874048\", alpha=\"0.07\", expect_size=\"23937024\"] \n  7 -> 22 [size =\"23937024\"]\n  7 -> 23 [size =\"23937024\"]\n  7 -> 27 [size =\"23937024\"]\n  7 -> 28 [size =\"23937024\"]\n  7 -> 28 [size =\"23937024\"]\n  7 -> 31 [size =\"23937024\"]\n  7 -> 32 [size =\"23937024\"]\n  7 -> 33 [size =\"23937024\"]\n  7 -> 34 [size =\"23937024\"]\n  7 -> 37 [size =\"23937024\"]\n  7 -> 39 [size =\"23937024\"]\n  8 [size=\"23576576\", alpha=\"0.16\", expect_size=\"11788288\"] \n  8 -> 22 [size =\"11788288\"]\n  8 -> 25 [size =\"11788288\"]\n  8 -> 27 [size =\"11788288\"]\n  8 -> 28 [size =\"11788288\"]\n  8 -> 31 [size =\"11788288\"]\n  8 -> 31 [size =\"11788288\"]\n  8 -> 33 [size =\"11788288\"]\n  8 -> 39 [size =\"11788288\"]\n  9 [size=\"30556160\", alpha=\"0.07\", expect_size=\"15278080\"] \n  9 -> 22 [size =\"15278080\"]\n  9 -> 23 [size =\"15278080\"]\n  9 -> 24 [size =\"15278080\"]\n  9 -> 26 [size =\"15278080\"]\n  9 -> 27 [size =\"15278080\"]\n  9 -> 28 [size =\"15278080\"]\n  9 -> 31 [size =\"15278080\"]\n  9 -> 33 [size =\"15278080\"]\n  9 -> 35 [size =\"15278080\"]\n  9 -> 36 [size =\"15278080\"]\n  9 -> 37 [size =\"15278080\"]\n  10 [size=\"30769152\", alpha=\"0.11\", expect_size=\"15384576\"] \n  10 -> 22 [size =\"15384576\"]\n  10 -> 27 [size =\"15384576\"]\n  10 -> 28 [size =\"15384576\"]\n  10 -> 29 [size =\"15384576\"]\n  10 -> 31 [size =\"15384576\"]\n  10 -> 32 [size =\"15384576\"]\n  10 -> 33 [size =\"15384576\"]\n  10 -> 33 [size =\"15384576\"]\n  10 -> 36 [size =\"15384576\"]\n  10 -> 40 [size =\"15384576\"]\n  11 [size=\"51097600\", alpha=\"0.11\", expect_size=\"25548800\"] \n  11 -> 22 [size =\"25548800\"]\n  11 -> 24 [size =\"25548800\"]\n  11 -> 26 [size =\"25548800\"]\n  11 -> 27 [size =\"25548800\"]\n  11 -> 31 [size =\"25548800\"]\n  11 -> 32 [size =\"25548800\"]\n  11 -> 34 [size =\"25548800\"]\n  11 -> 35 [size =\"25548800\"]\n  11 -> 37 [size =\"25548800\"]\n  11 -> 40 [size =\"25548800\"]\n  12 [size=\"95901696\", alpha=\"0.16\", expect_size=\"47950848\"] \n  12 -> 22 [size =\"47950848\"]\n  12 -> 23 [size =\"47950848\"]\n  12 -> 25 [size =\"47950848\"]\n  12 -> 27 [size =\"47950848\"]\n  12 -> 31 [size =\"47950848\"]\n  12 -> 34 [size =\"47950848\"]\n  12 -> 37 [size =\"47950848\"]\n  12 -> 38 [size =\"47950848\"]\n  13 [size=\"67141632\", alpha=\"0.15\", expect_size=\"33570816\"] \n  13 -> 22 [size =\"33570816\"]\n  13 -> 24 [size =\"33570816\"]\n  13 -> 32 [size =\"33570816\"]\n  13 -> 33 [size =\"33570816\"]\n  13 -> 34 [size =\"33570816\"]\n  13 -> 37 [size =\"33570816\"]\n  13 -> 38 [size =\"33570816\"]\n  14 [size=\"92850176\", alpha=\"0.08\", expect_size=\"46425088\"] \n  14 -> 22 [size =\"46425088\"]\n  14 -> 23 [size =\"46425088\"]\n  14 -> 24 [size =\"46425088\"]\n  14 -> 26 [size =\"46425088\"]\n  14 -> 31 [size =\"46425088\"]\n  14 -> 32 [size =\"46425088\"]\n  14 -> 34 [size =\"46425088\"]\n  14 -> 35 [size =\"46425088\"]\n  15 [size=\"19331072\", alpha=\"0.06\", expect_size=\"9665536\"] \n  15 -> 22 [size =\"9665536\"]\n  15 -> 25 [size =\"9665536\"]\n  15 -> 28 [size =\"9665536\"]\n  15 -> 31 [size =\"9665536\"]\n  15 -> 32 [size =\"9665536\"]\n  15 -> 33 [size =\"9665536\"]\n  15 -> 34 [size =\"9665536\"]\n  15 -> 37 [size =\"9665536\"]\n  16 [size=\"55343104\", alpha=\"0.02\", expect_size=\"27671552\"] \n  16 -> 22 [size =\"27671552\"]\n  16 -> 23 [size =\"27671552\"]\n  16 -> 25 [size =\"27671552\"]\n  16 -> 32 [size =\"27671552\"]\n  16 -> 34 [size =\"27671552\"]\n  16 -> 35 [size =\"27671552\"]\n  17 [size=\"63791104\", alpha=\"0.10\", expect_size=\"31895552\"] \n  17 -> 22 [size =\"31895552\"]\n  17 -> 23 [size =\"31895552\"]\n  17 -> 25 [size =\"31895552\"]\n  17 -> 28 [size =\"31895552\"]\n  17 -> 29 [size =\"31895552\"]\n  17 -> 31 [size =\"31895552\"]\n  17 -> 32 [size =\"31895552\"]\n  17 -> 34 [size =\"31895552\"]\n  17 -> 35 [size =\"31895552\"]\n  17 -> 37 [size =\"31895552\"]\n  18 [size=\"94552064\", alpha=\"0.13\", expect_size=\"47276032\"] \n  18 -> 22 [size =\"47276032\"]\n  18 -> 23 [size =\"47276032\"]\n  18 -> 24 [size =\"47276032\"]\n  18 -> 25 [size =\"47276032\"]\n  18 -> 27 [size =\"47276032\"]\n  18 -> 29 [size =\"47276032\"]\n  18 -> 31 [size =\"47276032\"]\n  18 -> 32 [size =\"47276032\"]\n  18 -> 33 [size =\"47276032\"]\n  18 -> 34 [size =\"47276032\"]\n  18 -> 37 [size =\"47276032\"]\n  18 -> 38 [size =\"47276032\"]\n  18 -> 40 [size =\"47276032\"]\n  19 [size=\"75991040\", alpha=\"0.11\", expect_size=\"37995520\"] \n  19 -> 22 [size =\"37995520\"]\n  19 -> 23 [size =\"37995520\"]\n  19 -> 24 [size =\"37995520\"]\n  19 -> 25 [size =\"37995520\"]\n  19 -> 27 [size =\"37995520\"]\n  19 -> 31 [size =\"37995520\"]\n  19 -> 33 [size =\"37995520\"]\n  19 -> 34 [size =\"37995520\"]\n  19 -> 35 [size =\"37995520\"]\n  19 -> 37 [size =\"37995520\"]\n  19 -> 38 [size =\"37995520\"]\n  19 -> 39 [size =\"37995520\"]\n  20 [size=\"13498368\", alpha=\"0.05\", expect_size=\"6749184\"] \n  20 -> 22 [size =\"6749184\"]\n  20 -> 23 [size =\"6749184\"]\n  20 -> 24 [size =\"6749184\"]\n  20 -> 25 [size =\"6749184\"]\n  20 -> 28 [size =\"6749184\"]\n  20 -> 31 [size =\"6749184\"]\n  20 -> 32 [size =\"6749184\"]\n  20 -> 39 [size =\"6749184\"]\n  21 [size=\"63361024\", alpha=\"0.02\", expect_size=\"31680512\"] \n  21 -> 23 [size =\"31680512\"]\n  21 -> 23 [size =\"31680512\"]\n  21 -> 24 [size =\"31680512\"]\n  21 -> 25 [size =\"31680512\"]\n  21 -> 28 [size =\"31680512\"]\n  21 -> 33 [size =\"31680512\"]\n  21 -> 34 [size =\"31680512\"]\n  22 [size=\"23031808\", alpha=\"0.06\", expect_size=\"11515904\"] \n  23 [size=\"100777984\", alpha=\"0.15\", expect_size=\"50388992\"] \n  24 [size=\"77686784\", alpha=\"0.05\", expect_size=\"38843392\"] \n  25 [size=\"20656128\", alpha=\"0.16\", expect_size=\"10328064\"] \n  26 [size=\"47388672\", alpha=\"0.13\", expect_size=\"23694336\"] \n  27 [size=\"56051712\", alpha=\"0.18\", expect_size=\"28025856\"] \n  28 [size=\"102119424\", alpha=\"0.05\", expect_size=\"51059712\"] \n  29 [size=\"70838272\", alpha=\"0.17\", expect_size=\"35419136\"] \n  30 [size=\"27160576\", alpha=\"0.13\", expect_size=\"13580288\"] \n  31 [size=\"49078272\", alpha=\"0.18\", expect_size=\"24539136\"] \n  32 [size=\"59793408\", alpha=\"0.01\", expect_size=\"29896704\"] \n  33 [size=\"90169344\", alpha=\"0.16\", expect_size=\"45084672\"] \n  34 [size=\"65816576\", alpha=\"0.08\", expect_size=\"32908288\"] \n  35 [size=\"89360384\", alpha=\"0.02\", expect_size=\"44680192\"] \n  36 [size=\"70799360\", alpha=\"0.06\", expect_size=\"35399680\"] \n  37 [size=\"37519360\", alpha=\"0.01\", expect_size=\"18759680\"] \n  38 [size=\"26910720\", alpha=\"0.14\", expect_size=\"13455360\"] \n  39 [size=\"52064256\", alpha=\"0.00\", expect_size=\"26032128\"] \n  40 [size=\"38678528\", alpha=\"0.08\", expect_size=\"19339264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31879168\", alpha=\"0.05\", expect_size=\"15939584\"] \n  1 -> 2 [size =\"15939584\"]\n  2 [size=\"27334656\", alpha=\"0.16\", expect_size=\"13667328\"] \n  2 -> 3 [size =\"13667328\"]\n  3 [size=\"104495104\", alpha=\"0.13\", expect_size=\"52247552\"] \n  3 -> 4 [size =\"52247552\"]\n  4 [size=\"76943360\", alpha=\"0.14\", expect_size=\"38471680\"] \n  4 -> 5 [size =\"38471680\"]\n  5 [size=\"31705088\", alpha=\"0.02\", expect_size=\"15852544\"] \n  5 -> 6 [size =\"15852544\"]\n  6 [size=\"93845504\", alpha=\"0.15\", expect_size=\"46922752\"] \n  6 -> 7 [size =\"46922752\"]\n  7 [size=\"26101760\", alpha=\"0.02\", expect_size=\"13050880\"] \n  7 -> 8 [size =\"13050880\"]\n  8 [size=\"68927488\", alpha=\"0.10\", expect_size=\"34463744\"] \n  8 -> 9 [size =\"34463744\"]\n  9 [size=\"45336576\", alpha=\"0.05\", expect_size=\"22668288\"] \n  9 -> 10 [size =\"22668288\"]\n  10 [size=\"47616000\", alpha=\"0.15\", expect_size=\"23808000\"] \n  10 -> 11 [size =\"23808000\"]\n  11 [size=\"80939008\", alpha=\"0.02\", expect_size=\"40469504\"] \n  11 -> 12 [size =\"40469504\"]\n  12 [size=\"12187648\", alpha=\"0.05\", expect_size=\"6093824\"] \n  12 -> 13 [size =\"6093824\"]\n  13 [size=\"88551424\", alpha=\"0.04\", expect_size=\"44275712\"] \n  13 -> 14 [size =\"44275712\"]\n  14 [size=\"54317056\", alpha=\"0.10\", expect_size=\"27158528\"] \n  14 -> 15 [size =\"27158528\"]\n  15 [size=\"24946688\", alpha=\"0.12\", expect_size=\"12473344\"] \n  15 -> 16 [size =\"12473344\"]\n  16 [size=\"32675840\", alpha=\"0.19\", expect_size=\"16337920\"] \n  16 -> 17 [size =\"16337920\"]\n  17 [size=\"101380096\", alpha=\"0.07\", expect_size=\"50690048\"] \n  17 -> 18 [size =\"50690048\"]\n  18 [size=\"15177728\", alpha=\"0.04\", expect_size=\"7588864\"] \n  18 -> 19 [size =\"7588864\"]\n  19 [size=\"61339648\", alpha=\"0.13\", expect_size=\"30669824\"] \n  19 -> 20 [size =\"30669824\"]\n  20 [size=\"83742720\", alpha=\"0.05\", expect_size=\"41871360\"] \n  20 -> 21 [size =\"41871360\"]\n  21 [size=\"62461952\", alpha=\"0.02\", expect_size=\"31230976\"] \n  21 -> 22 [size =\"31230976\"]\n  22 [size=\"72581120\", alpha=\"0.02\", expect_size=\"36290560\"] \n  22 -> 23 [size =\"36290560\"]\n  23 [size=\"98035712\", alpha=\"0.02\", expect_size=\"49017856\"] \n  23 -> 24 [size =\"49017856\"]\n  24 [size=\"20994048\", alpha=\"0.16\", expect_size=\"10497024\"] \n  24 -> 25 [size =\"10497024\"]\n  25 [size=\"69967872\", alpha=\"0.14\", expect_size=\"34983936\"] \n  25 -> 26 [size =\"34983936\"]\n  26 [size=\"31848448\", alpha=\"0.11\", expect_size=\"15924224\"] \n  26 -> 27 [size =\"15924224\"]\n  27 [size=\"26941440\", alpha=\"0.10\", expect_size=\"13470720\"] \n  27 -> 28 [size =\"13470720\"]\n  28 [size=\"58912768\", alpha=\"0.02\", expect_size=\"29456384\"] \n  28 -> 29 [size =\"29456384\"]\n  29 [size=\"75866112\", alpha=\"0.02\", expect_size=\"37933056\"] \n  29 -> 30 [size =\"37933056\"]\n  30 [size=\"43771904\", alpha=\"0.09\", expect_size=\"21885952\"] \n  30 -> 31 [size =\"21885952\"]\n  31 [size=\"68194304\", alpha=\"0.11\", expect_size=\"34097152\"] \n  31 -> 32 [size =\"34097152\"]\n  32 [size=\"76152832\", alpha=\"0.13\", expect_size=\"38076416\"] \n  32 -> 33 [size =\"38076416\"]\n  33 [size=\"84502528\", alpha=\"0.12\", expect_size=\"42251264\"] \n  33 -> 34 [size =\"42251264\"]\n  34 [size=\"92880896\", alpha=\"0.01\", expect_size=\"46440448\"] \n  34 -> 35 [size =\"46440448\"]\n  35 [size=\"73373696\", alpha=\"0.12\", expect_size=\"36686848\"] \n  35 -> 36 [size =\"36686848\"]\n  36 [size=\"47202304\", alpha=\"0.08\", expect_size=\"23601152\"] \n  36 -> 37 [size =\"23601152\"]\n  37 [size=\"97726464\", alpha=\"0.04\", expect_size=\"48863232\"] \n  37 -> 38 [size =\"48863232\"]\n  38 [size=\"51818496\", alpha=\"0.20\", expect_size=\"25909248\"] \n  38 -> 39 [size =\"25909248\"]\n  39 [size=\"62294016\", alpha=\"0.07\", expect_size=\"31147008\"] \n  39 -> 40 [size =\"31147008\"]\n  40 [size=\"69634048\", alpha=\"0.10\", expect_size=\"34817024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118464000\", alpha=\"0.14\", expect_size=\"47385600\"] \n  1 -> 31 [size =\"47385600\"]\n  1 -> 33 [size =\"47385600\"]\n  1 -> 36 [size =\"47385600\"]\n  1 -> 37 [size =\"47385600\"]\n  1 -> 38 [size =\"47385600\"]\n  1 -> 40 [size =\"47385600\"]\n  2 [size=\"96368640\", alpha=\"0.17\", expect_size=\"38547456\"] \n  2 -> 31 [size =\"38547456\"]\n  2 -> 32 [size =\"38547456\"]\n  2 -> 36 [size =\"38547456\"]\n  2 -> 38 [size =\"38547456\"]\n  2 -> 40 [size =\"38547456\"]\n  3 [size=\"63600640\", alpha=\"0.16\", expect_size=\"25440256\"] \n  3 -> 31 [size =\"25440256\"]\n  3 -> 33 [size =\"25440256\"]\n  3 -> 34 [size =\"25440256\"]\n  3 -> 35 [size =\"25440256\"]\n  3 -> 40 [size =\"25440256\"]\n  4 [size=\"98997760\", alpha=\"0.08\", expect_size=\"39599104\"] \n  4 -> 31 [size =\"39599104\"]\n  4 -> 33 [size =\"39599104\"]\n  4 -> 34 [size =\"39599104\"]\n  4 -> 36 [size =\"39599104\"]\n  4 -> 39 [size =\"39599104\"]\n  5 [size=\"72586240\", alpha=\"0.02\", expect_size=\"29034496\"] \n  5 -> 34 [size =\"29034496\"]\n  5 -> 35 [size =\"29034496\"]\n  5 -> 38 [size =\"29034496\"]\n  5 -> 40 [size =\"29034496\"]\n  6 [size=\"111823360\", alpha=\"0.15\", expect_size=\"44729344\"] \n  6 -> 34 [size =\"44729344\"]\n  6 -> 36 [size =\"44729344\"]\n  6 -> 39 [size =\"44729344\"]\n  7 [size=\"92482560\", alpha=\"0.12\", expect_size=\"36993024\"] \n  7 -> 33 [size =\"36993024\"]\n  7 -> 37 [size =\"36993024\"]\n  8 [size=\"25812480\", alpha=\"0.14\", expect_size=\"10324992\"] \n  8 -> 31 [size =\"10324992\"]\n  8 -> 32 [size =\"10324992\"]\n  8 -> 33 [size =\"10324992\"]\n  8 -> 34 [size =\"10324992\"]\n  8 -> 35 [size =\"10324992\"]\n  8 -> 36 [size =\"10324992\"]\n  8 -> 39 [size =\"10324992\"]\n  8 -> 40 [size =\"10324992\"]\n  9 [size=\"75975680\", alpha=\"0.04\", expect_size=\"30390272\"] \n  9 -> 32 [size =\"30390272\"]\n  9 -> 33 [size =\"30390272\"]\n  9 -> 33 [size =\"30390272\"]\n  9 -> 35 [size =\"30390272\"]\n  9 -> 35 [size =\"30390272\"]\n  9 -> 36 [size =\"30390272\"]\n  9 -> 38 [size =\"30390272\"]\n  9 -> 40 [size =\"30390272\"]\n  10 [size=\"124889600\", alpha=\"0.16\", expect_size=\"49955840\"] \n  10 -> 34 [size =\"49955840\"]\n  10 -> 35 [size =\"49955840\"]\n  10 -> 36 [size =\"49955840\"]\n  10 -> 38 [size =\"49955840\"]\n  10 -> 40 [size =\"49955840\"]\n  11 [size=\"49758720\", alpha=\"0.03\", expect_size=\"19903488\"] \n  11 -> 31 [size =\"19903488\"]\n  11 -> 34 [size =\"19903488\"]\n  11 -> 35 [size =\"19903488\"]\n  11 -> 36 [size =\"19903488\"]\n  11 -> 40 [size =\"19903488\"]\n  12 [size=\"15014400\", alpha=\"0.07\", expect_size=\"6005760\"] \n  12 -> 32 [size =\"6005760\"]\n  12 -> 34 [size =\"6005760\"]\n  12 -> 35 [size =\"6005760\"]\n  12 -> 36 [size =\"6005760\"]\n  12 -> 37 [size =\"6005760\"]\n  12 -> 38 [size =\"6005760\"]\n  12 -> 40 [size =\"6005760\"]\n  13 [size=\"117529600\", alpha=\"0.12\", expect_size=\"47011840\"] \n  13 -> 31 [size =\"47011840\"]\n  13 -> 32 [size =\"47011840\"]\n  13 -> 35 [size =\"47011840\"]\n  13 -> 36 [size =\"47011840\"]\n  13 -> 38 [size =\"47011840\"]\n  13 -> 39 [size =\"47011840\"]\n  13 -> 40 [size =\"47011840\"]\n  14 [size=\"94284800\", alpha=\"0.07\", expect_size=\"37713920\"] \n  14 -> 31 [size =\"37713920\"]\n  14 -> 32 [size =\"37713920\"]\n  14 -> 33 [size =\"37713920\"]\n  14 -> 34 [size =\"37713920\"]\n  14 -> 35 [size =\"37713920\"]\n  14 -> 39 [size =\"37713920\"]\n  14 -> 40 [size =\"37713920\"]\n  15 [size=\"25809920\", alpha=\"0.11\", expect_size=\"10323968\"] \n  15 -> 32 [size =\"10323968\"]\n  15 -> 32 [size =\"10323968\"]\n  15 -> 34 [size =\"10323968\"]\n  15 -> 35 [size =\"10323968\"]\n  15 -> 36 [size =\"10323968\"]\n  15 -> 38 [size =\"10323968\"]\n  15 -> 40 [size =\"10323968\"]\n  16 [size=\"37399040\", alpha=\"0.13\", expect_size=\"14959616\"] \n  16 -> 32 [size =\"14959616\"]\n  16 -> 36 [size =\"14959616\"]\n  16 -> 40 [size =\"14959616\"]\n  17 [size=\"123000320\", alpha=\"0.05\", expect_size=\"49200128\"] \n  17 -> 32 [size =\"49200128\"]\n  17 -> 34 [size =\"49200128\"]\n  17 -> 35 [size =\"49200128\"]\n  17 -> 36 [size =\"49200128\"]\n  17 -> 40 [size =\"49200128\"]\n  18 [size=\"78684160\", alpha=\"0.16\", expect_size=\"31473664\"] \n  18 -> 31 [size =\"31473664\"]\n  18 -> 32 [size =\"31473664\"]\n  18 -> 34 [size =\"31473664\"]\n  18 -> 38 [size =\"31473664\"]\n  18 -> 39 [size =\"31473664\"]\n  18 -> 40 [size =\"31473664\"]\n  19 [size=\"43980800\", alpha=\"0.09\", expect_size=\"17592320\"] \n  19 -> 31 [size =\"17592320\"]\n  19 -> 32 [size =\"17592320\"]\n  19 -> 34 [size =\"17592320\"]\n  19 -> 35 [size =\"17592320\"]\n  19 -> 38 [size =\"17592320\"]\n  19 -> 40 [size =\"17592320\"]\n  20 [size=\"66511360\", alpha=\"0.12\", expect_size=\"26604544\"] \n  20 -> 31 [size =\"26604544\"]\n  20 -> 32 [size =\"26604544\"]\n  20 -> 35 [size =\"26604544\"]\n  20 -> 36 [size =\"26604544\"]\n  20 -> 38 [size =\"26604544\"]\n  20 -> 39 [size =\"26604544\"]\n  21 [size=\"44385280\", alpha=\"0.13\", expect_size=\"17754112\"] \n  21 -> 32 [size =\"17754112\"]\n  21 -> 32 [size =\"17754112\"]\n  21 -> 34 [size =\"17754112\"]\n  21 -> 35 [size =\"17754112\"]\n  21 -> 38 [size =\"17754112\"]\n  21 -> 39 [size =\"17754112\"]\n  21 -> 40 [size =\"17754112\"]\n  22 [size=\"60203520\", alpha=\"0.08\", expect_size=\"24081408\"] \n  22 -> 32 [size =\"24081408\"]\n  22 -> 34 [size =\"24081408\"]\n  22 -> 35 [size =\"24081408\"]\n  22 -> 38 [size =\"24081408\"]\n  22 -> 38 [size =\"24081408\"]\n  23 [size=\"98639360\", alpha=\"0.11\", expect_size=\"39455744\"] \n  23 -> 31 [size =\"39455744\"]\n  23 -> 34 [size =\"39455744\"]\n  23 -> 37 [size =\"39455744\"]\n  23 -> 38 [size =\"39455744\"]\n  23 -> 39 [size =\"39455744\"]\n  23 -> 40 [size =\"39455744\"]\n  24 [size=\"50490880\", alpha=\"0.09\", expect_size=\"20196352\"] \n  24 -> 31 [size =\"20196352\"]\n  24 -> 32 [size =\"20196352\"]\n  24 -> 33 [size =\"20196352\"]\n  24 -> 34 [size =\"20196352\"]\n  24 -> 38 [size =\"20196352\"]\n  24 -> 40 [size =\"20196352\"]\n  25 [size=\"89715200\", alpha=\"0.17\", expect_size=\"35886080\"] \n  25 -> 31 [size =\"35886080\"]\n  25 -> 32 [size =\"35886080\"]\n  25 -> 35 [size =\"35886080\"]\n  25 -> 38 [size =\"35886080\"]\n  25 -> 39 [size =\"35886080\"]\n  26 [size=\"36961280\", alpha=\"0.02\", expect_size=\"14784512\"] \n  26 -> 32 [size =\"14784512\"]\n  26 -> 35 [size =\"14784512\"]\n  26 -> 38 [size =\"14784512\"]\n  26 -> 40 [size =\"14784512\"]\n  27 [size=\"110963200\", alpha=\"0.00\", expect_size=\"44385280\"] \n  27 -> 32 [size =\"44385280\"]\n  27 -> 34 [size =\"44385280\"]\n  27 -> 35 [size =\"44385280\"]\n  27 -> 38 [size =\"44385280\"]\n  28 [size=\"20423680\", alpha=\"0.01\", expect_size=\"8169472\"] \n  28 -> 32 [size =\"8169472\"]\n  28 -> 33 [size =\"8169472\"]\n  28 -> 34 [size =\"8169472\"]\n  28 -> 35 [size =\"8169472\"]\n  28 -> 37 [size =\"8169472\"]\n  28 -> 38 [size =\"8169472\"]\n  28 -> 39 [size =\"8169472\"]\n  28 -> 40 [size =\"8169472\"]\n  29 [size=\"117314560\", alpha=\"0.12\", expect_size=\"46925824\"] \n  29 -> 31 [size =\"46925824\"]\n  29 -> 32 [size =\"46925824\"]\n  29 -> 33 [size =\"46925824\"]\n  29 -> 34 [size =\"46925824\"]\n  29 -> 35 [size =\"46925824\"]\n  29 -> 37 [size =\"46925824\"]\n  29 -> 38 [size =\"46925824\"]\n  29 -> 39 [size =\"46925824\"]\n  30 [size=\"53606400\", alpha=\"0.02\", expect_size=\"21442560\"] \n  30 -> 32 [size =\"21442560\"]\n  30 -> 33 [size =\"21442560\"]\n  30 -> 34 [size =\"21442560\"]\n  30 -> 35 [size =\"21442560\"]\n  30 -> 35 [size =\"21442560\"]\n  30 -> 36 [size =\"21442560\"]\n  30 -> 38 [size =\"21442560\"]\n  30 -> 39 [size =\"21442560\"]\n  30 -> 40 [size =\"21442560\"]\n  31 [size=\"124889600\", alpha=\"0.18\", expect_size=\"49955840\"] \n  32 [size=\"82621440\", alpha=\"0.15\", expect_size=\"33048576\"] \n  33 [size=\"128033280\", alpha=\"0.09\", expect_size=\"51213312\"] \n  34 [size=\"75688960\", alpha=\"0.17\", expect_size=\"30275584\"] \n  35 [size=\"129448960\", alpha=\"0.07\", expect_size=\"51779584\"] \n  36 [size=\"112860160\", alpha=\"0.01\", expect_size=\"45144064\"] \n  37 [size=\"124641280\", alpha=\"0.14\", expect_size=\"49856512\"] \n  38 [size=\"126208000\", alpha=\"0.18\", expect_size=\"50483200\"] \n  39 [size=\"130263040\", alpha=\"0.08\", expect_size=\"52105216\"] \n  40 [size=\"81715200\", alpha=\"0.06\", expect_size=\"32686080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81963520\", alpha=\"0.08\", expect_size=\"32785408\"] \n  1 -> 14 [size =\"32785408\"]\n  1 -> 19 [size =\"32785408\"]\n  1 -> 22 [size =\"32785408\"]\n  1 -> 23 [size =\"32785408\"]\n  1 -> 25 [size =\"32785408\"]\n  2 [size=\"127672320\", alpha=\"0.09\", expect_size=\"51068928\"] \n  2 -> 16 [size =\"51068928\"]\n  2 -> 19 [size =\"51068928\"]\n  2 -> 20 [size =\"51068928\"]\n  2 -> 22 [size =\"51068928\"]\n  2 -> 25 [size =\"51068928\"]\n  2 -> 26 [size =\"51068928\"]\n  3 [size=\"111756800\", alpha=\"0.01\", expect_size=\"44702720\"] \n  3 -> 17 [size =\"44702720\"]\n  3 -> 18 [size =\"44702720\"]\n  3 -> 19 [size =\"44702720\"]\n  3 -> 20 [size =\"44702720\"]\n  3 -> 21 [size =\"44702720\"]\n  3 -> 25 [size =\"44702720\"]\n  3 -> 26 [size =\"44702720\"]\n  4 [size=\"17848320\", alpha=\"0.03\", expect_size=\"7139328\"] \n  4 -> 15 [size =\"7139328\"]\n  4 -> 17 [size =\"7139328\"]\n  4 -> 19 [size =\"7139328\"]\n  4 -> 20 [size =\"7139328\"]\n  4 -> 21 [size =\"7139328\"]\n  4 -> 22 [size =\"7139328\"]\n  4 -> 25 [size =\"7139328\"]\n  5 [size=\"128924160\", alpha=\"0.10\", expect_size=\"51569664\"] \n  5 -> 16 [size =\"51569664\"]\n  5 -> 17 [size =\"51569664\"]\n  5 -> 18 [size =\"51569664\"]\n  5 -> 19 [size =\"51569664\"]\n  5 -> 21 [size =\"51569664\"]\n  5 -> 22 [size =\"51569664\"]\n  5 -> 25 [size =\"51569664\"]\n  6 [size=\"80762880\", alpha=\"0.05\", expect_size=\"32305152\"] \n  6 -> 14 [size =\"32305152\"]\n  6 -> 18 [size =\"32305152\"]\n  6 -> 18 [size =\"32305152\"]\n  6 -> 19 [size =\"32305152\"]\n  6 -> 21 [size =\"32305152\"]\n  6 -> 25 [size =\"32305152\"]\n  6 -> 25 [size =\"32305152\"]\n  7 [size=\"20034560\", alpha=\"0.12\", expect_size=\"8013824\"] \n  7 -> 18 [size =\"8013824\"]\n  7 -> 19 [size =\"8013824\"]\n  7 -> 20 [size =\"8013824\"]\n  7 -> 24 [size =\"8013824\"]\n  8 [size=\"36531200\", alpha=\"0.01\", expect_size=\"14612480\"] \n  8 -> 17 [size =\"14612480\"]\n  8 -> 21 [size =\"14612480\"]\n  8 -> 23 [size =\"14612480\"]\n  8 -> 25 [size =\"14612480\"]\n  8 -> 26 [size =\"14612480\"]\n  9 [size=\"62251520\", alpha=\"0.08\", expect_size=\"24900608\"] \n  9 -> 16 [size =\"24900608\"]\n  9 -> 18 [size =\"24900608\"]\n  10 [size=\"44055040\", alpha=\"0.19\", expect_size=\"17622016\"] \n  10 -> 15 [size =\"17622016\"]\n  10 -> 16 [size =\"17622016\"]\n  10 -> 18 [size =\"17622016\"]\n  10 -> 22 [size =\"17622016\"]\n  10 -> 23 [size =\"17622016\"]\n  10 -> 26 [size =\"17622016\"]\n  11 [size=\"40614400\", alpha=\"0.12\", expect_size=\"16245760\"] \n  11 -> 15 [size =\"16245760\"]\n  11 -> 16 [size =\"16245760\"]\n  11 -> 26 [size =\"16245760\"]\n  12 [size=\"90680320\", alpha=\"0.13\", expect_size=\"36272128\"] \n  12 -> 15 [size =\"36272128\"]\n  12 -> 17 [size =\"36272128\"]\n  13 [size=\"25566720\", alpha=\"0.04\", expect_size=\"10226688\"] \n  13 -> 19 [size =\"10226688\"]\n  13 -> 23 [size =\"10226688\"]\n  13 -> 24 [size =\"10226688\"]\n  14 [size=\"32455680\", alpha=\"0.14\", expect_size=\"12982272\"] \n  14 -> 32 [size =\"12982272\"]\n  14 -> 33 [size =\"12982272\"]\n  14 -> 35 [size =\"12982272\"]\n  14 -> 36 [size =\"12982272\"]\n  14 -> 39 [size =\"12982272\"]\n  15 [size=\"51041280\", alpha=\"0.12\", expect_size=\"20416512\"] \n  15 -> 35 [size =\"20416512\"]\n  15 -> 36 [size =\"20416512\"]\n  16 [size=\"107965440\", alpha=\"0.19\", expect_size=\"43186176\"] \n  16 -> 29 [size =\"43186176\"]\n  16 -> 35 [size =\"43186176\"]\n  16 -> 37 [size =\"43186176\"]\n  17 [size=\"18242560\", alpha=\"0.06\", expect_size=\"7297024\"] \n  17 -> 29 [size =\"7297024\"]\n  17 -> 30 [size =\"7297024\"]\n  17 -> 33 [size =\"7297024\"]\n  17 -> 35 [size =\"7297024\"]\n  17 -> 37 [size =\"7297024\"]\n  18 [size=\"86538240\", alpha=\"0.06\", expect_size=\"34615296\"] \n  18 -> 30 [size =\"34615296\"]\n  18 -> 38 [size =\"34615296\"]\n  19 [size=\"94384640\", alpha=\"0.19\", expect_size=\"37753856\"] \n  19 -> 29 [size =\"37753856\"]\n  19 -> 31 [size =\"37753856\"]\n  19 -> 32 [size =\"37753856\"]\n  19 -> 34 [size =\"37753856\"]\n  19 -> 35 [size =\"37753856\"]\n  19 -> 36 [size =\"37753856\"]\n  19 -> 37 [size =\"37753856\"]\n  20 [size=\"26019840\", alpha=\"0.05\", expect_size=\"10407936\"] \n  20 -> 28 [size =\"10407936\"]\n  20 -> 29 [size =\"10407936\"]\n  20 -> 37 [size =\"10407936\"]\n  21 [size=\"17469440\", alpha=\"0.03\", expect_size=\"6987776\"] \n  21 -> 39 [size =\"6987776\"]\n  22 [size=\"86510080\", alpha=\"0.00\", expect_size=\"34604032\"] \n  22 -> 29 [size =\"34604032\"]\n  22 -> 36 [size =\"34604032\"]\n  23 [size=\"43653120\", alpha=\"0.15\", expect_size=\"17461248\"] \n  23 -> 27 [size =\"17461248\"]\n  23 -> 30 [size =\"17461248\"]\n  23 -> 31 [size =\"17461248\"]\n  23 -> 36 [size =\"17461248\"]\n  23 -> 37 [size =\"17461248\"]\n  24 [size=\"67653120\", alpha=\"0.09\", expect_size=\"27061248\"] \n  24 -> 31 [size =\"27061248\"]\n  24 -> 35 [size =\"27061248\"]\n  24 -> 36 [size =\"27061248\"]\n  24 -> 38 [size =\"27061248\"]\n  25 [size=\"33290240\", alpha=\"0.04\", expect_size=\"13316096\"] \n  25 -> 31 [size =\"13316096\"]\n  25 -> 35 [size =\"13316096\"]\n  25 -> 36 [size =\"13316096\"]\n  25 -> 37 [size =\"13316096\"]\n  26 [size=\"103531520\", alpha=\"0.10\", expect_size=\"41412608\"] \n  26 -> 29 [size =\"41412608\"]\n  26 -> 31 [size =\"41412608\"]\n  26 -> 35 [size =\"41412608\"]\n  26 -> 36 [size =\"41412608\"]\n  26 -> 39 [size =\"41412608\"]\n  27 [size=\"96294400\", alpha=\"0.17\", expect_size=\"38517760\"] \n  28 [size=\"15992320\", alpha=\"0.09\", expect_size=\"6396928\"] \n  29 [size=\"52377600\", alpha=\"0.08\", expect_size=\"20951040\"] \n  30 [size=\"43834880\", alpha=\"0.13\", expect_size=\"17533952\"] \n  31 [size=\"72683520\", alpha=\"0.02\", expect_size=\"29073408\"] \n  32 [size=\"89809920\", alpha=\"0.05\", expect_size=\"35923968\"] \n  33 [size=\"91819520\", alpha=\"0.10\", expect_size=\"36727808\"] \n  34 [size=\"59392000\", alpha=\"0.18\", expect_size=\"23756800\"] \n  34 -> 40 [size =\"23756800\"]\n  35 [size=\"115240960\", alpha=\"0.12\", expect_size=\"46096384\"] \n  36 [size=\"21286400\", alpha=\"0.03\", expect_size=\"8514560\"] \n  36 -> 40 [size =\"8514560\"]\n  37 [size=\"81116160\", alpha=\"0.14\", expect_size=\"32446464\"] \n  38 [size=\"65725440\", alpha=\"0.18\", expect_size=\"26290176\"] \n  38 -> 40 [size =\"26290176\"]\n  39 [size=\"116508160\", alpha=\"0.16\", expect_size=\"46603264\"] \n  40 [size=\"46679040\", alpha=\"0.15\", expect_size=\"18671616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41799680\", alpha=\"0.17\", expect_size=\"12539904\"] \n  1 -> 7 [size =\"12539904\"]\n  1 -> 10 [size =\"12539904\"]\n  2 [size=\"156098560\", alpha=\"0.03\", expect_size=\"46829568\"] \n  2 -> 7 [size =\"46829568\"]\n  2 -> 9 [size =\"46829568\"]\n  3 [size=\"171219627\", alpha=\"0.17\", expect_size=\"51365888\"] \n  4 [size=\"80732160\", alpha=\"0.08\", expect_size=\"24219648\"] \n  5 [size=\"91760640\", alpha=\"0.19\", expect_size=\"27528192\"] \n  5 -> 7 [size =\"27528192\"]\n  5 -> 8 [size =\"27528192\"]\n  5 -> 9 [size =\"27528192\"]\n  5 -> 10 [size =\"27528192\"]\n  6 [size=\"112496640\", alpha=\"0.03\", expect_size=\"33748992\"] \n  6 -> 9 [size =\"33748992\"]\n  7 [size=\"78237013\", alpha=\"0.02\", expect_size=\"23471104\"] \n  7 -> 12 [size =\"23471104\"]\n  8 [size=\"130723840\", alpha=\"0.13\", expect_size=\"39217152\"] \n  8 -> 11 [size =\"39217152\"]\n  8 -> 14 [size =\"39217152\"]\n  8 -> 15 [size =\"39217152\"]\n  9 [size=\"133655893\", alpha=\"0.15\", expect_size=\"40096768\"] \n  9 -> 13 [size =\"40096768\"]\n  9 -> 14 [size =\"40096768\"]\n  9 -> 16 [size =\"40096768\"]\n  10 [size=\"46424747\", alpha=\"0.08\", expect_size=\"13927424\"] \n  10 -> 11 [size =\"13927424\"]\n  11 [size=\"133495467\", alpha=\"0.20\", expect_size=\"40048640\"] \n  11 -> 18 [size =\"40048640\"]\n  11 -> 19 [size =\"40048640\"]\n  12 [size=\"109281280\", alpha=\"0.07\", expect_size=\"32784384\"] \n  13 [size=\"130167467\", alpha=\"0.18\", expect_size=\"39050240\"] \n  13 -> 17 [size =\"39050240\"]\n  13 -> 19 [size =\"39050240\"]\n  14 [size=\"103731200\", alpha=\"0.05\", expect_size=\"31119360\"] \n  15 [size=\"163751253\", alpha=\"0.12\", expect_size=\"49125376\"] \n  15 -> 17 [size =\"49125376\"]\n  15 -> 20 [size =\"49125376\"]\n  16 [size=\"155211093\", alpha=\"0.02\", expect_size=\"46563328\"] \n  16 -> 19 [size =\"46563328\"]\n  17 [size=\"19148800\", alpha=\"0.01\", expect_size=\"5744640\"] \n  17 -> 23 [size =\"5744640\"]\n  17 -> 24 [size =\"5744640\"]\n  17 -> 25 [size =\"5744640\"]\n  18 [size=\"30958933\", alpha=\"0.13\", expect_size=\"9287680\"] \n  18 -> 22 [size =\"9287680\"]\n  18 -> 24 [size =\"9287680\"]\n  19 [size=\"130430293\", alpha=\"0.18\", expect_size=\"39129088\"] \n  19 -> 21 [size =\"39129088\"]\n  19 -> 24 [size =\"39129088\"]\n  20 [size=\"89111893\", alpha=\"0.04\", expect_size=\"26733568\"] \n  21 [size=\"148316160\", alpha=\"0.14\", expect_size=\"44494848\"] \n  21 -> 29 [size =\"44494848\"]\n  22 [size=\"145971200\", alpha=\"0.01\", expect_size=\"43791360\"] \n  22 -> 26 [size =\"43791360\"]\n  22 -> 28 [size =\"43791360\"]\n  22 -> 29 [size =\"43791360\"]\n  23 [size=\"41492480\", alpha=\"0.08\", expect_size=\"12447744\"] \n  23 -> 27 [size =\"12447744\"]\n  24 [size=\"25808213\", alpha=\"0.03\", expect_size=\"7742464\"] \n  24 -> 26 [size =\"7742464\"]\n  25 [size=\"65884160\", alpha=\"0.07\", expect_size=\"19765248\"] \n  25 -> 27 [size =\"19765248\"]\n  26 [size=\"157982720\", alpha=\"0.03\", expect_size=\"47394816\"] \n  26 -> 30 [size =\"47394816\"]\n  26 -> 35 [size =\"47394816\"]\n  27 [size=\"174240427\", alpha=\"0.07\", expect_size=\"52272128\"] \n  27 -> 31 [size =\"52272128\"]\n  27 -> 33 [size =\"52272128\"]\n  27 -> 34 [size =\"52272128\"]\n  27 -> 35 [size =\"52272128\"]\n  28 [size=\"22739627\", alpha=\"0.06\", expect_size=\"6821888\"] \n  28 -> 31 [size =\"6821888\"]\n  28 -> 32 [size =\"6821888\"]\n  28 -> 34 [size =\"6821888\"]\n  29 [size=\"126655147\", alpha=\"0.19\", expect_size=\"37996544\"] \n  29 -> 33 [size =\"37996544\"]\n  30 [size=\"109578240\", alpha=\"0.16\", expect_size=\"32873472\"] \n  30 -> 37 [size =\"32873472\"]\n  30 -> 39 [size =\"32873472\"]\n  30 -> 40 [size =\"32873472\"]\n  31 [size=\"143411200\", alpha=\"0.07\", expect_size=\"43023360\"] \n  32 [size=\"95191040\", alpha=\"0.11\", expect_size=\"28557312\"] \n  32 -> 40 [size =\"28557312\"]\n  33 [size=\"103543467\", alpha=\"0.08\", expect_size=\"31063040\"] \n  33 -> 39 [size =\"31063040\"]\n  33 -> 40 [size =\"31063040\"]\n  34 [size=\"164928853\", alpha=\"0.17\", expect_size=\"49478656\"] \n  34 -> 37 [size =\"49478656\"]\n  35 [size=\"28026880\", alpha=\"0.04\", expect_size=\"8408064\"] \n  35 -> 36 [size =\"8408064\"]\n  35 -> 37 [size =\"8408064\"]\n  35 -> 38 [size =\"8408064\"]\n  35 -> 39 [size =\"8408064\"]\n  35 -> 40 [size =\"8408064\"]\n  36 [size=\"81698133\", alpha=\"0.09\", expect_size=\"24509440\"] \n  37 [size=\"106390187\", alpha=\"0.14\", expect_size=\"31917056\"] \n  38 [size=\"162870613\", alpha=\"0.01\", expect_size=\"48861184\"] \n  39 [size=\"49814187\", alpha=\"0.02\", expect_size=\"14944256\"] \n  40 [size=\"40690347\", alpha=\"0.12\", expect_size=\"12207104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92876800\", alpha=\"0.04\", expect_size=\"37150720\"] \n  1 -> 2 [size =\"37150720\"]\n  2 [size=\"100121600\", alpha=\"0.14\", expect_size=\"40048640\"] \n  2 -> 3 [size =\"40048640\"]\n  3 [size=\"94389760\", alpha=\"0.18\", expect_size=\"37755904\"] \n  3 -> 4 [size =\"37755904\"]\n  4 [size=\"28748800\", alpha=\"0.02\", expect_size=\"11499520\"] \n  4 -> 5 [size =\"11499520\"]\n  5 [size=\"117752320\", alpha=\"0.16\", expect_size=\"47100928\"] \n  5 -> 6 [size =\"47100928\"]\n  6 [size=\"25697280\", alpha=\"0.17\", expect_size=\"10278912\"] \n  6 -> 7 [size =\"10278912\"]\n  7 [size=\"88839680\", alpha=\"0.11\", expect_size=\"35535872\"] \n  7 -> 8 [size =\"35535872\"]\n  8 [size=\"87667200\", alpha=\"0.19\", expect_size=\"35066880\"] \n  8 -> 9 [size =\"35066880\"]\n  9 [size=\"88622080\", alpha=\"0.03\", expect_size=\"35448832\"] \n  9 -> 10 [size =\"35448832\"]\n  10 [size=\"120168960\", alpha=\"0.06\", expect_size=\"48067584\"] \n  10 -> 11 [size =\"48067584\"]\n  11 [size=\"42708480\", alpha=\"0.07\", expect_size=\"17083392\"] \n  11 -> 12 [size =\"17083392\"]\n  12 [size=\"68231680\", alpha=\"0.03\", expect_size=\"27292672\"] \n  12 -> 13 [size =\"27292672\"]\n  13 [size=\"30000640\", alpha=\"0.17\", expect_size=\"12000256\"] \n  13 -> 14 [size =\"12000256\"]\n  14 [size=\"15828480\", alpha=\"0.09\", expect_size=\"6331392\"] \n  14 -> 15 [size =\"6331392\"]\n  15 [size=\"25292800\", alpha=\"0.12\", expect_size=\"10117120\"] \n  15 -> 16 [size =\"10117120\"]\n  16 [size=\"120993280\", alpha=\"0.17\", expect_size=\"48397312\"] \n  16 -> 17 [size =\"48397312\"]\n  17 [size=\"102522880\", alpha=\"0.20\", expect_size=\"41009152\"] \n  17 -> 18 [size =\"41009152\"]\n  18 [size=\"46515200\", alpha=\"0.13\", expect_size=\"18606080\"] \n  18 -> 19 [size =\"18606080\"]\n  19 [size=\"42895360\", alpha=\"0.07\", expect_size=\"17158144\"] \n  19 -> 20 [size =\"17158144\"]\n  20 [size=\"62512640\", alpha=\"0.17\", expect_size=\"25005056\"] \n  20 -> 21 [size =\"25005056\"]\n  21 [size=\"98892800\", alpha=\"0.01\", expect_size=\"39557120\"] \n  21 -> 22 [size =\"39557120\"]\n  22 [size=\"20177920\", alpha=\"0.00\", expect_size=\"8071168\"] \n  22 -> 23 [size =\"8071168\"]\n  23 [size=\"38402560\", alpha=\"0.13\", expect_size=\"15361024\"] \n  23 -> 24 [size =\"15361024\"]\n  24 [size=\"22371840\", alpha=\"0.08\", expect_size=\"8948736\"] \n  24 -> 25 [size =\"8948736\"]\n  25 [size=\"75937280\", alpha=\"0.01\", expect_size=\"30374912\"] \n  25 -> 26 [size =\"30374912\"]\n  26 [size=\"30394880\", alpha=\"0.16\", expect_size=\"12157952\"] \n  26 -> 27 [size =\"12157952\"]\n  27 [size=\"14502400\", alpha=\"0.04\", expect_size=\"5800960\"] \n  27 -> 28 [size =\"5800960\"]\n  28 [size=\"13468160\", alpha=\"0.05\", expect_size=\"5387264\"] \n  28 -> 29 [size =\"5387264\"]\n  29 [size=\"87559680\", alpha=\"0.18\", expect_size=\"35023872\"] \n  29 -> 30 [size =\"35023872\"]\n  30 [size=\"128302080\", alpha=\"0.09\", expect_size=\"51320832\"] \n  30 -> 31 [size =\"51320832\"]\n  31 [size=\"113006080\", alpha=\"0.06\", expect_size=\"45202432\"] \n  31 -> 32 [size =\"45202432\"]\n  32 [size=\"121443840\", alpha=\"0.12\", expect_size=\"48577536\"] \n  32 -> 33 [size =\"48577536\"]\n  33 [size=\"122667520\", alpha=\"0.01\", expect_size=\"49067008\"] \n  33 -> 34 [size =\"49067008\"]\n  34 [size=\"79997440\", alpha=\"0.10\", expect_size=\"31998976\"] \n  34 -> 35 [size =\"31998976\"]\n  35 [size=\"127037440\", alpha=\"0.01\", expect_size=\"50814976\"] \n  35 -> 36 [size =\"50814976\"]\n  36 [size=\"14538240\", alpha=\"0.11\", expect_size=\"5815296\"] \n  36 -> 37 [size =\"5815296\"]\n  37 [size=\"108989440\", alpha=\"0.15\", expect_size=\"43595776\"] \n  37 -> 38 [size =\"43595776\"]\n  38 [size=\"14264320\", alpha=\"0.06\", expect_size=\"5705728\"] \n  38 -> 39 [size =\"5705728\"]\n  39 [size=\"40852480\", alpha=\"0.01\", expect_size=\"16340992\"] \n  39 -> 40 [size =\"16340992\"]\n  40 [size=\"28341760\", alpha=\"0.05\", expect_size=\"11336704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56768512\", alpha=\"0.17\", expect_size=\"28384256\"] \n  2 [size=\"96315392\", alpha=\"0.13\", expect_size=\"48157696\"] \n  2 -> 5 [size =\"48157696\"]\n  3 [size=\"89225216\", alpha=\"0.00\", expect_size=\"44612608\"] \n  3 -> 4 [size =\"44612608\"]\n  3 -> 5 [size =\"44612608\"]\n  4 [size=\"71735296\", alpha=\"0.03\", expect_size=\"35867648\"] \n  4 -> 6 [size =\"35867648\"]\n  4 -> 7 [size =\"35867648\"]\n  4 -> 8 [size =\"35867648\"]\n  5 [size=\"20674560\", alpha=\"0.17\", expect_size=\"10337280\"] \n  5 -> 6 [size =\"10337280\"]\n  5 -> 7 [size =\"10337280\"]\n  6 [size=\"67680256\", alpha=\"0.18\", expect_size=\"33840128\"] \n  6 -> 9 [size =\"33840128\"]\n  6 -> 10 [size =\"33840128\"]\n  7 [size=\"72486912\", alpha=\"0.04\", expect_size=\"36243456\"] \n  8 [size=\"56023040\", alpha=\"0.16\", expect_size=\"28011520\"] \n  8 -> 9 [size =\"28011520\"]\n  9 [size=\"94267392\", alpha=\"0.01\", expect_size=\"47133696\"] \n  9 -> 11 [size =\"47133696\"]\n  10 [size=\"42043392\", alpha=\"0.18\", expect_size=\"21021696\"] \n  10 -> 11 [size =\"21021696\"]\n  10 -> 12 [size =\"21021696\"]\n  11 [size=\"82223104\", alpha=\"0.18\", expect_size=\"41111552\"] \n  11 -> 13 [size =\"41111552\"]\n  12 [size=\"68833280\", alpha=\"0.02\", expect_size=\"34416640\"] \n  12 -> 14 [size =\"34416640\"]\n  13 [size=\"37656576\", alpha=\"0.20\", expect_size=\"18828288\"] \n  13 -> 15 [size =\"18828288\"]\n  13 -> 16 [size =\"18828288\"]\n  14 [size=\"39522304\", alpha=\"0.12\", expect_size=\"19761152\"] \n  14 -> 15 [size =\"19761152\"]\n  15 [size=\"52883456\", alpha=\"0.19\", expect_size=\"26441728\"] \n  15 -> 17 [size =\"26441728\"]\n  15 -> 19 [size =\"26441728\"]\n  16 [size=\"38891520\", alpha=\"0.04\", expect_size=\"19445760\"] \n  16 -> 17 [size =\"19445760\"]\n  16 -> 18 [size =\"19445760\"]\n  16 -> 19 [size =\"19445760\"]\n  17 [size=\"27604992\", alpha=\"0.18\", expect_size=\"13802496\"] \n  17 -> 20 [size =\"13802496\"]\n  18 [size=\"45473792\", alpha=\"0.01\", expect_size=\"22736896\"] \n  18 -> 20 [size =\"22736896\"]\n  18 -> 21 [size =\"22736896\"]\n  19 [size=\"27582464\", alpha=\"0.01\", expect_size=\"13791232\"] \n  19 -> 20 [size =\"13791232\"]\n  19 -> 21 [size =\"13791232\"]\n  20 [size=\"34578432\", alpha=\"0.00\", expect_size=\"17289216\"] \n  20 -> 23 [size =\"17289216\"]\n  20 -> 24 [size =\"17289216\"]\n  21 [size=\"25384960\", alpha=\"0.09\", expect_size=\"12692480\"] \n  21 -> 22 [size =\"12692480\"]\n  21 -> 23 [size =\"12692480\"]\n  21 -> 24 [size =\"12692480\"]\n  22 [size=\"18186240\", alpha=\"0.16\", expect_size=\"9093120\"] \n  22 -> 25 [size =\"9093120\"]\n  23 [size=\"26542080\", alpha=\"0.20\", expect_size=\"13271040\"] \n  23 -> 25 [size =\"13271040\"]\n  24 [size=\"25982976\", alpha=\"0.17\", expect_size=\"12991488\"] \n  24 -> 26 [size =\"12991488\"]\n  25 [size=\"83750912\", alpha=\"0.15\", expect_size=\"41875456\"] \n  25 -> 27 [size =\"41875456\"]\n  25 -> 28 [size =\"41875456\"]\n  25 -> 29 [size =\"41875456\"]\n  26 [size=\"78598144\", alpha=\"0.06\", expect_size=\"39299072\"] \n  26 -> 28 [size =\"39299072\"]\n  26 -> 29 [size =\"39299072\"]\n  27 [size=\"97751040\", alpha=\"0.11\", expect_size=\"48875520\"] \n  27 -> 31 [size =\"48875520\"]\n  28 [size=\"86435840\", alpha=\"0.04\", expect_size=\"43217920\"] \n  29 [size=\"90843136\", alpha=\"0.16\", expect_size=\"45421568\"] \n  29 -> 30 [size =\"45421568\"]\n  29 -> 31 [size =\"45421568\"]\n  30 [size=\"97271808\", alpha=\"0.14\", expect_size=\"48635904\"] \n  31 [size=\"99067904\", alpha=\"0.07\", expect_size=\"49533952\"] \n  31 -> 32 [size =\"49533952\"]\n  31 -> 33 [size =\"49533952\"]\n  32 [size=\"48138240\", alpha=\"0.13\", expect_size=\"24069120\"] \n  32 -> 34 [size =\"24069120\"]\n  32 -> 36 [size =\"24069120\"]\n  33 [size=\"30316544\", alpha=\"0.05\", expect_size=\"15158272\"] \n  33 -> 34 [size =\"15158272\"]\n  33 -> 35 [size =\"15158272\"]\n  33 -> 36 [size =\"15158272\"]\n  34 [size=\"29972480\", alpha=\"0.02\", expect_size=\"14986240\"] \n  34 -> 38 [size =\"14986240\"]\n  34 -> 39 [size =\"14986240\"]\n  35 [size=\"13981696\", alpha=\"0.09\", expect_size=\"6990848\"] \n  35 -> 39 [size =\"6990848\"]\n  36 [size=\"86906880\", alpha=\"0.02\", expect_size=\"43453440\"] \n  36 -> 37 [size =\"43453440\"]\n  37 [size=\"22829056\", alpha=\"0.18\", expect_size=\"11414528\"] \n  37 -> 40 [size =\"11414528\"]\n  38 [size=\"72493056\", alpha=\"0.02\", expect_size=\"36246528\"] \n  38 -> 40 [size =\"36246528\"]\n  39 [size=\"92698624\", alpha=\"0.09\", expect_size=\"46349312\"] \n  40 [size=\"72851456\", alpha=\"0.02\", expect_size=\"36425728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120251733\", alpha=\"0.16\", expect_size=\"36075520\"] \n  1 -> 4 [size =\"36075520\"]\n  1 -> 5 [size =\"36075520\"]\n  2 [size=\"97122987\", alpha=\"0.08\", expect_size=\"29136896\"] \n  2 -> 3 [size =\"29136896\"]\n  2 -> 4 [size =\"29136896\"]\n  2 -> 5 [size =\"29136896\"]\n  3 [size=\"171823787\", alpha=\"0.06\", expect_size=\"51547136\"] \n  3 -> 6 [size =\"51547136\"]\n  4 [size=\"164802560\", alpha=\"0.08\", expect_size=\"49440768\"] \n  4 -> 6 [size =\"49440768\"]\n  5 [size=\"97751040\", alpha=\"0.06\", expect_size=\"29325312\"] \n  5 -> 7 [size =\"29325312\"]\n  6 [size=\"120142507\", alpha=\"0.09\", expect_size=\"36042752\"] \n  6 -> 8 [size =\"36042752\"]\n  6 -> 9 [size =\"36042752\"]\n  6 -> 10 [size =\"36042752\"]\n  7 [size=\"89852587\", alpha=\"0.15\", expect_size=\"26955776\"] \n  7 -> 8 [size =\"26955776\"]\n  7 -> 9 [size =\"26955776\"]\n  7 -> 10 [size =\"26955776\"]\n  8 [size=\"50694827\", alpha=\"0.09\", expect_size=\"15208448\"] \n  8 -> 12 [size =\"15208448\"]\n  9 [size=\"122647893\", alpha=\"0.19\", expect_size=\"36794368\"] \n  9 -> 11 [size =\"36794368\"]\n  9 -> 12 [size =\"36794368\"]\n  10 [size=\"22978560\", alpha=\"0.17\", expect_size=\"6893568\"] \n  11 [size=\"127433387\", alpha=\"0.08\", expect_size=\"38230016\"] \n  11 -> 13 [size =\"38230016\"]\n  11 -> 14 [size =\"38230016\"]\n  12 [size=\"94576640\", alpha=\"0.02\", expect_size=\"28372992\"] \n  12 -> 14 [size =\"28372992\"]\n  13 [size=\"154159787\", alpha=\"0.09\", expect_size=\"46247936\"] \n  13 -> 16 [size =\"46247936\"]\n  13 -> 17 [size =\"46247936\"]\n  14 [size=\"47383893\", alpha=\"0.19\", expect_size=\"14215168\"] \n  14 -> 15 [size =\"14215168\"]\n  14 -> 17 [size =\"14215168\"]\n  15 [size=\"109922987\", alpha=\"0.16\", expect_size=\"32976896\"] \n  15 -> 19 [size =\"32976896\"]\n  15 -> 20 [size =\"32976896\"]\n  16 [size=\"156388693\", alpha=\"0.07\", expect_size=\"46916608\"] \n  16 -> 19 [size =\"46916608\"]\n  17 [size=\"66901333\", alpha=\"0.03\", expect_size=\"20070400\"] \n  17 -> 18 [size =\"20070400\"]\n  18 [size=\"25234773\", alpha=\"0.09\", expect_size=\"7570432\"] \n  18 -> 22 [size =\"7570432\"]\n  18 -> 23 [size =\"7570432\"]\n  19 [size=\"95740587\", alpha=\"0.15\", expect_size=\"28722176\"] \n  20 [size=\"88354133\", alpha=\"0.13\", expect_size=\"26506240\"] \n  20 -> 21 [size =\"26506240\"]\n  20 -> 22 [size =\"26506240\"]\n  21 [size=\"65095680\", alpha=\"0.04\", expect_size=\"19528704\"] \n  22 [size=\"128604160\", alpha=\"0.06\", expect_size=\"38581248\"] \n  22 -> 25 [size =\"38581248\"]\n  23 [size=\"145582080\", alpha=\"0.07\", expect_size=\"43674624\"] \n  23 -> 24 [size =\"43674624\"]\n  24 [size=\"56446293\", alpha=\"0.07\", expect_size=\"16933888\"] \n  24 -> 26 [size =\"16933888\"]\n  25 [size=\"45322240\", alpha=\"0.17\", expect_size=\"13596672\"] \n  25 -> 27 [size =\"13596672\"]\n  25 -> 28 [size =\"13596672\"]\n  26 [size=\"171461973\", alpha=\"0.01\", expect_size=\"51438592\"] \n  26 -> 29 [size =\"51438592\"]\n  26 -> 31 [size =\"51438592\"]\n  27 [size=\"65566720\", alpha=\"0.13\", expect_size=\"19670016\"] \n  27 -> 29 [size =\"19670016\"]\n  27 -> 30 [size =\"19670016\"]\n  28 [size=\"87616853\", alpha=\"0.10\", expect_size=\"26285056\"] \n  29 [size=\"160122880\", alpha=\"0.20\", expect_size=\"48036864\"] \n  30 [size=\"117108053\", alpha=\"0.11\", expect_size=\"35132416\"] \n  30 -> 32 [size =\"35132416\"]\n  31 [size=\"61631147\", alpha=\"0.15\", expect_size=\"18489344\"] \n  31 -> 33 [size =\"18489344\"]\n  32 [size=\"96471040\", alpha=\"0.10\", expect_size=\"28941312\"] \n  32 -> 34 [size =\"28941312\"]\n  32 -> 35 [size =\"28941312\"]\n  32 -> 36 [size =\"28941312\"]\n  33 [size=\"143991467\", alpha=\"0.02\", expect_size=\"43197440\"] \n  34 [size=\"43967147\", alpha=\"0.17\", expect_size=\"13190144\"] \n  34 -> 39 [size =\"13190144\"]\n  35 [size=\"101014187\", alpha=\"0.05\", expect_size=\"30304256\"] \n  35 -> 38 [size =\"30304256\"]\n  35 -> 39 [size =\"30304256\"]\n  36 [size=\"80834560\", alpha=\"0.10\", expect_size=\"24250368\"] \n  36 -> 37 [size =\"24250368\"]\n  37 [size=\"86097920\", alpha=\"0.01\", expect_size=\"25829376\"] \n  38 [size=\"31897600\", alpha=\"0.14\", expect_size=\"9569280\"] \n  38 -> 40 [size =\"9569280\"]\n  39 [size=\"108735147\", alpha=\"0.16\", expect_size=\"32620544\"] \n  40 [size=\"107209387\", alpha=\"0.07\", expect_size=\"32162816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100423680\", alpha=\"0.03\", expect_size=\"40169472\"] \n  1 -> 27 [size =\"40169472\"]\n  1 -> 28 [size =\"40169472\"]\n  1 -> 31 [size =\"40169472\"]\n  1 -> 37 [size =\"40169472\"]\n  1 -> 40 [size =\"40169472\"]\n  2 [size=\"41971200\", alpha=\"0.02\", expect_size=\"16788480\"] \n  2 -> 28 [size =\"16788480\"]\n  2 -> 28 [size =\"16788480\"]\n  2 -> 30 [size =\"16788480\"]\n  2 -> 31 [size =\"16788480\"]\n  2 -> 35 [size =\"16788480\"]\n  2 -> 37 [size =\"16788480\"]\n  2 -> 39 [size =\"16788480\"]\n  3 [size=\"51189760\", alpha=\"0.09\", expect_size=\"20475904\"] \n  3 -> 28 [size =\"20475904\"]\n  3 -> 31 [size =\"20475904\"]\n  3 -> 33 [size =\"20475904\"]\n  3 -> 35 [size =\"20475904\"]\n  3 -> 36 [size =\"20475904\"]\n  3 -> 37 [size =\"20475904\"]\n  3 -> 39 [size =\"20475904\"]\n  4 [size=\"51665920\", alpha=\"0.15\", expect_size=\"20666368\"] \n  4 -> 27 [size =\"20666368\"]\n  4 -> 28 [size =\"20666368\"]\n  4 -> 30 [size =\"20666368\"]\n  4 -> 31 [size =\"20666368\"]\n  4 -> 36 [size =\"20666368\"]\n  4 -> 37 [size =\"20666368\"]\n  5 [size=\"116922880\", alpha=\"0.00\", expect_size=\"46769152\"] \n  5 -> 27 [size =\"46769152\"]\n  5 -> 31 [size =\"46769152\"]\n  5 -> 34 [size =\"46769152\"]\n  5 -> 36 [size =\"46769152\"]\n  5 -> 37 [size =\"46769152\"]\n  5 -> 37 [size =\"46769152\"]\n  5 -> 39 [size =\"46769152\"]\n  5 -> 40 [size =\"46769152\"]\n  6 [size=\"22236160\", alpha=\"0.17\", expect_size=\"8894464\"] \n  6 -> 30 [size =\"8894464\"]\n  6 -> 31 [size =\"8894464\"]\n  6 -> 32 [size =\"8894464\"]\n  6 -> 33 [size =\"8894464\"]\n  6 -> 35 [size =\"8894464\"]\n  6 -> 36 [size =\"8894464\"]\n  6 -> 37 [size =\"8894464\"]\n  6 -> 39 [size =\"8894464\"]\n  6 -> 40 [size =\"8894464\"]\n  7 [size=\"112834560\", alpha=\"0.08\", expect_size=\"45133824\"] \n  7 -> 27 [size =\"45133824\"]\n  7 -> 28 [size =\"45133824\"]\n  7 -> 29 [size =\"45133824\"]\n  7 -> 30 [size =\"45133824\"]\n  7 -> 31 [size =\"45133824\"]\n  7 -> 33 [size =\"45133824\"]\n  7 -> 34 [size =\"45133824\"]\n  7 -> 36 [size =\"45133824\"]\n  7 -> 37 [size =\"45133824\"]\n  7 -> 40 [size =\"45133824\"]\n  8 [size=\"79554560\", alpha=\"0.18\", expect_size=\"31821824\"] \n  8 -> 28 [size =\"31821824\"]\n  8 -> 31 [size =\"31821824\"]\n  8 -> 34 [size =\"31821824\"]\n  8 -> 35 [size =\"31821824\"]\n  8 -> 36 [size =\"31821824\"]\n  8 -> 37 [size =\"31821824\"]\n  8 -> 38 [size =\"31821824\"]\n  8 -> 40 [size =\"31821824\"]\n  9 [size=\"61501440\", alpha=\"0.14\", expect_size=\"24600576\"] \n  9 -> 28 [size =\"24600576\"]\n  9 -> 29 [size =\"24600576\"]\n  9 -> 31 [size =\"24600576\"]\n  9 -> 34 [size =\"24600576\"]\n  9 -> 35 [size =\"24600576\"]\n  9 -> 36 [size =\"24600576\"]\n  9 -> 37 [size =\"24600576\"]\n  9 -> 40 [size =\"24600576\"]\n  10 [size=\"71385600\", alpha=\"0.01\", expect_size=\"28554240\"] \n  10 -> 27 [size =\"28554240\"]\n  10 -> 28 [size =\"28554240\"]\n  10 -> 29 [size =\"28554240\"]\n  10 -> 30 [size =\"28554240\"]\n  10 -> 31 [size =\"28554240\"]\n  10 -> 34 [size =\"28554240\"]\n  10 -> 36 [size =\"28554240\"]\n  10 -> 37 [size =\"28554240\"]\n  10 -> 40 [size =\"28554240\"]\n  11 [size=\"68661760\", alpha=\"0.10\", expect_size=\"27464704\"] \n  11 -> 27 [size =\"27464704\"]\n  11 -> 28 [size =\"27464704\"]\n  11 -> 31 [size =\"27464704\"]\n  11 -> 35 [size =\"27464704\"]\n  11 -> 36 [size =\"27464704\"]\n  11 -> 37 [size =\"27464704\"]\n  11 -> 39 [size =\"27464704\"]\n  11 -> 40 [size =\"27464704\"]\n  12 [size=\"86988800\", alpha=\"0.19\", expect_size=\"34795520\"] \n  12 -> 28 [size =\"34795520\"]\n  12 -> 28 [size =\"34795520\"]\n  12 -> 31 [size =\"34795520\"]\n  12 -> 35 [size =\"34795520\"]\n  12 -> 36 [size =\"34795520\"]\n  12 -> 37 [size =\"34795520\"]\n  13 [size=\"98293760\", alpha=\"0.12\", expect_size=\"39317504\"] \n  13 -> 28 [size =\"39317504\"]\n  13 -> 30 [size =\"39317504\"]\n  13 -> 31 [size =\"39317504\"]\n  13 -> 35 [size =\"39317504\"]\n  13 -> 37 [size =\"39317504\"]\n  13 -> 38 [size =\"39317504\"]\n  14 [size=\"34828800\", alpha=\"0.15\", expect_size=\"13931520\"] \n  14 -> 28 [size =\"13931520\"]\n  14 -> 31 [size =\"13931520\"]\n  14 -> 31 [size =\"13931520\"]\n  14 -> 35 [size =\"13931520\"]\n  14 -> 38 [size =\"13931520\"]\n  14 -> 39 [size =\"13931520\"]\n  14 -> 40 [size =\"13931520\"]\n  15 [size=\"124121600\", alpha=\"0.17\", expect_size=\"49648640\"] \n  15 -> 28 [size =\"49648640\"]\n  15 -> 31 [size =\"49648640\"]\n  15 -> 33 [size =\"49648640\"]\n  15 -> 35 [size =\"49648640\"]\n  15 -> 36 [size =\"49648640\"]\n  16 [size=\"125864960\", alpha=\"0.01\", expect_size=\"50345984\"] \n  16 -> 33 [size =\"50345984\"]\n  16 -> 35 [size =\"50345984\"]\n  16 -> 36 [size =\"50345984\"]\n  16 -> 39 [size =\"50345984\"]\n  17 [size=\"105592320\", alpha=\"0.10\", expect_size=\"42236928\"] \n  17 -> 31 [size =\"42236928\"]\n  17 -> 33 [size =\"42236928\"]\n  17 -> 35 [size =\"42236928\"]\n  17 -> 36 [size =\"42236928\"]\n  17 -> 39 [size =\"42236928\"]\n  17 -> 40 [size =\"42236928\"]\n  18 [size=\"33049600\", alpha=\"0.16\", expect_size=\"13219840\"] \n  18 -> 27 [size =\"13219840\"]\n  18 -> 35 [size =\"13219840\"]\n  18 -> 36 [size =\"13219840\"]\n  18 -> 37 [size =\"13219840\"]\n  18 -> 39 [size =\"13219840\"]\n  19 [size=\"20480000\", alpha=\"0.02\", expect_size=\"8192000\"] \n  19 -> 27 [size =\"8192000\"]\n  19 -> 28 [size =\"8192000\"]\n  19 -> 29 [size =\"8192000\"]\n  19 -> 30 [size =\"8192000\"]\n  19 -> 31 [size =\"8192000\"]\n  19 -> 33 [size =\"8192000\"]\n  19 -> 35 [size =\"8192000\"]\n  19 -> 36 [size =\"8192000\"]\n  19 -> 37 [size =\"8192000\"]\n  19 -> 39 [size =\"8192000\"]\n  19 -> 40 [size =\"8192000\"]\n  20 [size=\"102312960\", alpha=\"0.12\", expect_size=\"40925184\"] \n  20 -> 27 [size =\"40925184\"]\n  20 -> 28 [size =\"40925184\"]\n  20 -> 29 [size =\"40925184\"]\n  20 -> 33 [size =\"40925184\"]\n  20 -> 34 [size =\"40925184\"]\n  20 -> 35 [size =\"40925184\"]\n  20 -> 35 [size =\"40925184\"]\n  20 -> 37 [size =\"40925184\"]\n  20 -> 39 [size =\"40925184\"]\n  20 -> 39 [size =\"40925184\"]\n  20 -> 40 [size =\"40925184\"]\n  21 [size=\"108554240\", alpha=\"0.18\", expect_size=\"43421696\"] \n  21 -> 27 [size =\"43421696\"]\n  21 -> 28 [size =\"43421696\"]\n  21 -> 31 [size =\"43421696\"]\n  21 -> 33 [size =\"43421696\"]\n  21 -> 35 [size =\"43421696\"]\n  21 -> 39 [size =\"43421696\"]\n  22 [size=\"49661440\", alpha=\"0.08\", expect_size=\"19864576\"] \n  22 -> 27 [size =\"19864576\"]\n  22 -> 28 [size =\"19864576\"]\n  22 -> 31 [size =\"19864576\"]\n  22 -> 35 [size =\"19864576\"]\n  22 -> 39 [size =\"19864576\"]\n  22 -> 39 [size =\"19864576\"]\n  22 -> 40 [size =\"19864576\"]\n  23 [size=\"46602240\", alpha=\"0.05\", expect_size=\"18640896\"] \n  23 -> 27 [size =\"18640896\"]\n  23 -> 28 [size =\"18640896\"]\n  23 -> 35 [size =\"18640896\"]\n  23 -> 37 [size =\"18640896\"]\n  23 -> 39 [size =\"18640896\"]\n  23 -> 40 [size =\"18640896\"]\n  24 [size=\"117516800\", alpha=\"0.08\", expect_size=\"47006720\"] \n  24 -> 27 [size =\"47006720\"]\n  24 -> 28 [size =\"47006720\"]\n  24 -> 31 [size =\"47006720\"]\n  24 -> 35 [size =\"47006720\"]\n  24 -> 39 [size =\"47006720\"]\n  24 -> 40 [size =\"47006720\"]\n  25 [size=\"90437120\", alpha=\"0.09\", expect_size=\"36174848\"] \n  25 -> 28 [size =\"36174848\"]\n  25 -> 28 [size =\"36174848\"]\n  25 -> 29 [size =\"36174848\"]\n  25 -> 30 [size =\"36174848\"]\n  25 -> 31 [size =\"36174848\"]\n  25 -> 35 [size =\"36174848\"]\n  25 -> 39 [size =\"36174848\"]\n  25 -> 40 [size =\"36174848\"]\n  26 [size=\"73231360\", alpha=\"0.11\", expect_size=\"29292544\"] \n  26 -> 28 [size =\"29292544\"]\n  26 -> 30 [size =\"29292544\"]\n  26 -> 35 [size =\"29292544\"]\n  26 -> 36 [size =\"29292544\"]\n  26 -> 37 [size =\"29292544\"]\n  26 -> 39 [size =\"29292544\"]\n  26 -> 40 [size =\"29292544\"]\n  26 -> 40 [size =\"29292544\"]\n  27 [size=\"77017600\", alpha=\"0.10\", expect_size=\"30807040\"] \n  28 [size=\"20362240\", alpha=\"0.01\", expect_size=\"8144896\"] \n  29 [size=\"114775040\", alpha=\"0.20\", expect_size=\"45910016\"] \n  30 [size=\"125265920\", alpha=\"0.08\", expect_size=\"50106368\"] \n  31 [size=\"79959040\", alpha=\"0.06\", expect_size=\"31983616\"] \n  32 [size=\"66176000\", alpha=\"0.17\", expect_size=\"26470400\"] \n  33 [size=\"112780800\", alpha=\"0.02\", expect_size=\"45112320\"] \n  34 [size=\"21928960\", alpha=\"0.11\", expect_size=\"8771584\"] \n  35 [size=\"68106240\", alpha=\"0.18\", expect_size=\"27242496\"] \n  36 [size=\"119203840\", alpha=\"0.05\", expect_size=\"47681536\"] \n  37 [size=\"66388480\", alpha=\"0.07\", expect_size=\"26555392\"] \n  38 [size=\"127352320\", alpha=\"0.13\", expect_size=\"50940928\"] \n  39 [size=\"14650880\", alpha=\"0.20\", expect_size=\"5860352\"] \n  40 [size=\"130570240\", alpha=\"0.02\", expect_size=\"52228096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53511680\", alpha=\"0.00\", expect_size=\"21404672\"] \n  1 -> 22 [size =\"21404672\"]\n  1 -> 23 [size =\"21404672\"]\n  1 -> 24 [size =\"21404672\"]\n  1 -> 26 [size =\"21404672\"]\n  1 -> 28 [size =\"21404672\"]\n  1 -> 30 [size =\"21404672\"]\n  1 -> 33 [size =\"21404672\"]\n  1 -> 37 [size =\"21404672\"]\n  1 -> 38 [size =\"21404672\"]\n  1 -> 40 [size =\"21404672\"]\n  2 [size=\"34662400\", alpha=\"0.14\", expect_size=\"13864960\"] \n  2 -> 23 [size =\"13864960\"]\n  2 -> 23 [size =\"13864960\"]\n  2 -> 24 [size =\"13864960\"]\n  2 -> 26 [size =\"13864960\"]\n  2 -> 30 [size =\"13864960\"]\n  2 -> 30 [size =\"13864960\"]\n  2 -> 37 [size =\"13864960\"]\n  2 -> 38 [size =\"13864960\"]\n  3 [size=\"63769600\", alpha=\"0.10\", expect_size=\"25507840\"] \n  3 -> 22 [size =\"25507840\"]\n  3 -> 23 [size =\"25507840\"]\n  3 -> 26 [size =\"25507840\"]\n  3 -> 26 [size =\"25507840\"]\n  3 -> 27 [size =\"25507840\"]\n  3 -> 28 [size =\"25507840\"]\n  3 -> 33 [size =\"25507840\"]\n  3 -> 36 [size =\"25507840\"]\n  3 -> 37 [size =\"25507840\"]\n  4 [size=\"30266880\", alpha=\"0.17\", expect_size=\"12106752\"] \n  4 -> 22 [size =\"12106752\"]\n  4 -> 23 [size =\"12106752\"]\n  4 -> 26 [size =\"12106752\"]\n  4 -> 27 [size =\"12106752\"]\n  4 -> 28 [size =\"12106752\"]\n  4 -> 32 [size =\"12106752\"]\n  4 -> 35 [size =\"12106752\"]\n  4 -> 36 [size =\"12106752\"]\n  4 -> 37 [size =\"12106752\"]\n  4 -> 38 [size =\"12106752\"]\n  5 [size=\"114214400\", alpha=\"0.07\", expect_size=\"45685760\"] \n  5 -> 23 [size =\"45685760\"]\n  5 -> 23 [size =\"45685760\"]\n  5 -> 24 [size =\"45685760\"]\n  5 -> 26 [size =\"45685760\"]\n  5 -> 36 [size =\"45685760\"]\n  5 -> 37 [size =\"45685760\"]\n  5 -> 38 [size =\"45685760\"]\n  6 [size=\"24737280\", alpha=\"0.13\", expect_size=\"9894912\"] \n  6 -> 23 [size =\"9894912\"]\n  6 -> 24 [size =\"9894912\"]\n  6 -> 26 [size =\"9894912\"]\n  6 -> 27 [size =\"9894912\"]\n  6 -> 28 [size =\"9894912\"]\n  6 -> 30 [size =\"9894912\"]\n  6 -> 35 [size =\"9894912\"]\n  6 -> 36 [size =\"9894912\"]\n  6 -> 37 [size =\"9894912\"]\n  6 -> 38 [size =\"9894912\"]\n  7 [size=\"128885760\", alpha=\"0.16\", expect_size=\"51554304\"] \n  7 -> 22 [size =\"51554304\"]\n  7 -> 24 [size =\"51554304\"]\n  7 -> 27 [size =\"51554304\"]\n  7 -> 30 [size =\"51554304\"]\n  7 -> 35 [size =\"51554304\"]\n  7 -> 36 [size =\"51554304\"]\n  7 -> 37 [size =\"51554304\"]\n  7 -> 38 [size =\"51554304\"]\n  7 -> 39 [size =\"51554304\"]\n  8 [size=\"47946240\", alpha=\"0.17\", expect_size=\"19178496\"] \n  8 -> 24 [size =\"19178496\"]\n  8 -> 27 [size =\"19178496\"]\n  8 -> 28 [size =\"19178496\"]\n  8 -> 32 [size =\"19178496\"]\n  8 -> 35 [size =\"19178496\"]\n  8 -> 36 [size =\"19178496\"]\n  8 -> 37 [size =\"19178496\"]\n  8 -> 40 [size =\"19178496\"]\n  9 [size=\"109583360\", alpha=\"0.07\", expect_size=\"43833344\"] \n  9 -> 23 [size =\"43833344\"]\n  9 -> 24 [size =\"43833344\"]\n  9 -> 26 [size =\"43833344\"]\n  9 -> 27 [size =\"43833344\"]\n  9 -> 28 [size =\"43833344\"]\n  9 -> 33 [size =\"43833344\"]\n  9 -> 37 [size =\"43833344\"]\n  9 -> 38 [size =\"43833344\"]\n  10 [size=\"25817600\", alpha=\"0.09\", expect_size=\"10327040\"] \n  10 -> 21 [size =\"10327040\"]\n  10 -> 22 [size =\"10327040\"]\n  10 -> 23 [size =\"10327040\"]\n  10 -> 26 [size =\"10327040\"]\n  10 -> 27 [size =\"10327040\"]\n  10 -> 30 [size =\"10327040\"]\n  10 -> 31 [size =\"10327040\"]\n  10 -> 32 [size =\"10327040\"]\n  10 -> 35 [size =\"10327040\"]\n  10 -> 36 [size =\"10327040\"]\n  10 -> 37 [size =\"10327040\"]\n  10 -> 38 [size =\"10327040\"]\n  10 -> 40 [size =\"10327040\"]\n  11 [size=\"120273920\", alpha=\"0.01\", expect_size=\"48109568\"] \n  11 -> 21 [size =\"48109568\"]\n  11 -> 22 [size =\"48109568\"]\n  11 -> 23 [size =\"48109568\"]\n  11 -> 26 [size =\"48109568\"]\n  11 -> 27 [size =\"48109568\"]\n  11 -> 28 [size =\"48109568\"]\n  11 -> 32 [size =\"48109568\"]\n  11 -> 34 [size =\"48109568\"]\n  11 -> 35 [size =\"48109568\"]\n  11 -> 36 [size =\"48109568\"]\n  11 -> 37 [size =\"48109568\"]\n  11 -> 38 [size =\"48109568\"]\n  11 -> 40 [size =\"48109568\"]\n  12 [size=\"122723840\", alpha=\"0.14\", expect_size=\"49089536\"] \n  12 -> 21 [size =\"49089536\"]\n  12 -> 23 [size =\"49089536\"]\n  12 -> 23 [size =\"49089536\"]\n  12 -> 24 [size =\"49089536\"]\n  12 -> 28 [size =\"49089536\"]\n  12 -> 28 [size =\"49089536\"]\n  12 -> 30 [size =\"49089536\"]\n  12 -> 32 [size =\"49089536\"]\n  12 -> 35 [size =\"49089536\"]\n  12 -> 36 [size =\"49089536\"]\n  12 -> 37 [size =\"49089536\"]\n  12 -> 38 [size =\"49089536\"]\n  12 -> 40 [size =\"49089536\"]\n  13 [size=\"85309440\", alpha=\"0.00\", expect_size=\"34123776\"] \n  13 -> 23 [size =\"34123776\"]\n  13 -> 24 [size =\"34123776\"]\n  13 -> 26 [size =\"34123776\"]\n  13 -> 28 [size =\"34123776\"]\n  13 -> 28 [size =\"34123776\"]\n  13 -> 29 [size =\"34123776\"]\n  13 -> 33 [size =\"34123776\"]\n  13 -> 36 [size =\"34123776\"]\n  13 -> 38 [size =\"34123776\"]\n  14 [size=\"23669760\", alpha=\"0.20\", expect_size=\"9467904\"] \n  14 -> 26 [size =\"9467904\"]\n  14 -> 28 [size =\"9467904\"]\n  14 -> 32 [size =\"9467904\"]\n  14 -> 33 [size =\"9467904\"]\n  14 -> 36 [size =\"9467904\"]\n  14 -> 38 [size =\"9467904\"]\n  14 -> 40 [size =\"9467904\"]\n  15 [size=\"124710400\", alpha=\"0.20\", expect_size=\"49884160\"] \n  15 -> 25 [size =\"49884160\"]\n  15 -> 26 [size =\"49884160\"]\n  15 -> 28 [size =\"49884160\"]\n  15 -> 32 [size =\"49884160\"]\n  15 -> 36 [size =\"49884160\"]\n  15 -> 37 [size =\"49884160\"]\n  15 -> 38 [size =\"49884160\"]\n  15 -> 39 [size =\"49884160\"]\n  16 [size=\"50800640\", alpha=\"0.11\", expect_size=\"20320256\"] \n  16 -> 23 [size =\"20320256\"]\n  16 -> 24 [size =\"20320256\"]\n  16 -> 26 [size =\"20320256\"]\n  16 -> 28 [size =\"20320256\"]\n  16 -> 29 [size =\"20320256\"]\n  16 -> 32 [size =\"20320256\"]\n  16 -> 33 [size =\"20320256\"]\n  16 -> 36 [size =\"20320256\"]\n  16 -> 38 [size =\"20320256\"]\n  16 -> 40 [size =\"20320256\"]\n  17 [size=\"127083520\", alpha=\"0.03\", expect_size=\"50833408\"] \n  17 -> 23 [size =\"50833408\"]\n  17 -> 28 [size =\"50833408\"]\n  17 -> 34 [size =\"50833408\"]\n  17 -> 36 [size =\"50833408\"]\n  18 [size=\"101685760\", alpha=\"0.07\", expect_size=\"40674304\"] \n  18 -> 22 [size =\"40674304\"]\n  18 -> 26 [size =\"40674304\"]\n  18 -> 27 [size =\"40674304\"]\n  18 -> 28 [size =\"40674304\"]\n  18 -> 30 [size =\"40674304\"]\n  18 -> 33 [size =\"40674304\"]\n  18 -> 36 [size =\"40674304\"]\n  18 -> 38 [size =\"40674304\"]\n  19 [size=\"83417600\", alpha=\"0.11\", expect_size=\"33367040\"] \n  19 -> 25 [size =\"33367040\"]\n  19 -> 26 [size =\"33367040\"]\n  19 -> 28 [size =\"33367040\"]\n  19 -> 30 [size =\"33367040\"]\n  19 -> 33 [size =\"33367040\"]\n  19 -> 36 [size =\"33367040\"]\n  19 -> 36 [size =\"33367040\"]\n  19 -> 37 [size =\"33367040\"]\n  19 -> 38 [size =\"33367040\"]\n  20 [size=\"127144960\", alpha=\"0.06\", expect_size=\"50857984\"] \n  20 -> 22 [size =\"50857984\"]\n  20 -> 23 [size =\"50857984\"]\n  20 -> 24 [size =\"50857984\"]\n  20 -> 26 [size =\"50857984\"]\n  20 -> 27 [size =\"50857984\"]\n  20 -> 30 [size =\"50857984\"]\n  20 -> 32 [size =\"50857984\"]\n  20 -> 36 [size =\"50857984\"]\n  20 -> 37 [size =\"50857984\"]\n  20 -> 40 [size =\"50857984\"]\n  21 [size=\"61696000\", alpha=\"0.07\", expect_size=\"24678400\"] \n  22 [size=\"65400320\", alpha=\"0.13\", expect_size=\"26160128\"] \n  23 [size=\"32903680\", alpha=\"0.07\", expect_size=\"13161472\"] \n  24 [size=\"35043840\", alpha=\"0.04\", expect_size=\"14017536\"] \n  25 [size=\"33464320\", alpha=\"0.18\", expect_size=\"13385728\"] \n  26 [size=\"31726080\", alpha=\"0.14\", expect_size=\"12690432\"] \n  27 [size=\"95943680\", alpha=\"0.10\", expect_size=\"38377472\"] \n  28 [size=\"111749120\", alpha=\"0.11\", expect_size=\"44699648\"] \n  29 [size=\"36922880\", alpha=\"0.09\", expect_size=\"14769152\"] \n  30 [size=\"100067840\", alpha=\"0.09\", expect_size=\"40027136\"] \n  31 [size=\"15362560\", alpha=\"0.08\", expect_size=\"6145024\"] \n  32 [size=\"59141120\", alpha=\"0.04\", expect_size=\"23656448\"] \n  33 [size=\"17031680\", alpha=\"0.13\", expect_size=\"6812672\"] \n  34 [size=\"57656320\", alpha=\"0.04\", expect_size=\"23062528\"] \n  35 [size=\"80217600\", alpha=\"0.14\", expect_size=\"32087040\"] \n  36 [size=\"67857920\", alpha=\"0.10\", expect_size=\"27143168\"] \n  37 [size=\"32207360\", alpha=\"0.06\", expect_size=\"12882944\"] \n  38 [size=\"89047040\", alpha=\"0.16\", expect_size=\"35618816\"] \n  39 [size=\"37288960\", alpha=\"0.19\", expect_size=\"14915584\"] \n  40 [size=\"91371520\", alpha=\"0.01\", expect_size=\"36548608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63464107\", alpha=\"0.10\", expect_size=\"19039232\"] \n  1 -> 7 [size =\"19039232\"]\n  1 -> 8 [size =\"19039232\"]\n  1 -> 9 [size =\"19039232\"]\n  1 -> 10 [size =\"19039232\"]\n  1 -> 11 [size =\"19039232\"]\n  2 [size=\"136785920\", alpha=\"0.02\", expect_size=\"41035776\"] \n  2 -> 7 [size =\"41035776\"]\n  2 -> 9 [size =\"41035776\"]\n  2 -> 10 [size =\"41035776\"]\n  2 -> 10 [size =\"41035776\"]\n  3 [size=\"81582080\", alpha=\"0.10\", expect_size=\"24474624\"] \n  3 -> 8 [size =\"24474624\"]\n  3 -> 10 [size =\"24474624\"]\n  3 -> 10 [size =\"24474624\"]\n  4 [size=\"60163413\", alpha=\"0.06\", expect_size=\"18049024\"] \n  4 -> 7 [size =\"18049024\"]\n  5 [size=\"29764267\", alpha=\"0.18\", expect_size=\"8929280\"] \n  5 -> 8 [size =\"8929280\"]\n  5 -> 9 [size =\"8929280\"]\n  5 -> 10 [size =\"8929280\"]\n  5 -> 11 [size =\"8929280\"]\n  6 [size=\"114984960\", alpha=\"0.00\", expect_size=\"34495488\"] \n  6 -> 8 [size =\"34495488\"]\n  6 -> 9 [size =\"34495488\"]\n  7 [size=\"143595520\", alpha=\"0.05\", expect_size=\"43078656\"] \n  7 -> 12 [size =\"43078656\"]\n  7 -> 14 [size =\"43078656\"]\n  7 -> 15 [size =\"43078656\"]\n  8 [size=\"83558400\", alpha=\"0.00\", expect_size=\"25067520\"] \n  8 -> 14 [size =\"25067520\"]\n  8 -> 14 [size =\"25067520\"]\n  9 [size=\"141783040\", alpha=\"0.04\", expect_size=\"42534912\"] \n  9 -> 12 [size =\"42534912\"]\n  9 -> 14 [size =\"42534912\"]\n  9 -> 15 [size =\"42534912\"]\n  9 -> 16 [size =\"42534912\"]\n  10 [size=\"137768960\", alpha=\"0.11\", expect_size=\"41330688\"] \n  10 -> 12 [size =\"41330688\"]\n  10 -> 13 [size =\"41330688\"]\n  10 -> 15 [size =\"41330688\"]\n  10 -> 16 [size =\"41330688\"]\n  11 [size=\"113373867\", alpha=\"0.05\", expect_size=\"34012160\"] \n  11 -> 12 [size =\"34012160\"]\n  11 -> 13 [size =\"34012160\"]\n  11 -> 14 [size =\"34012160\"]\n  11 -> 15 [size =\"34012160\"]\n  11 -> 16 [size =\"34012160\"]\n  12 [size=\"34962773\", alpha=\"0.06\", expect_size=\"10488832\"] \n  12 -> 17 [size =\"10488832\"]\n  12 -> 19 [size =\"10488832\"]\n  13 [size=\"52923733\", alpha=\"0.20\", expect_size=\"15877120\"] \n  13 -> 18 [size =\"15877120\"]\n  13 -> 19 [size =\"15877120\"]\n  14 [size=\"130703360\", alpha=\"0.16\", expect_size=\"39211008\"] \n  14 -> 17 [size =\"39211008\"]\n  14 -> 18 [size =\"39211008\"]\n  14 -> 20 [size =\"39211008\"]\n  15 [size=\"19585707\", alpha=\"0.16\", expect_size=\"5875712\"] \n  15 -> 17 [size =\"5875712\"]\n  15 -> 18 [size =\"5875712\"]\n  15 -> 20 [size =\"5875712\"]\n  16 [size=\"160464213\", alpha=\"0.15\", expect_size=\"48139264\"] \n  16 -> 17 [size =\"48139264\"]\n  16 -> 18 [size =\"48139264\"]\n  16 -> 20 [size =\"48139264\"]\n  17 [size=\"161375573\", alpha=\"0.20\", expect_size=\"48412672\"] \n  17 -> 21 [size =\"48412672\"]\n  17 -> 24 [size =\"48412672\"]\n  17 -> 25 [size =\"48412672\"]\n  17 -> 26 [size =\"48412672\"]\n  18 [size=\"47168853\", alpha=\"0.01\", expect_size=\"14150656\"] \n  18 -> 21 [size =\"14150656\"]\n  18 -> 22 [size =\"14150656\"]\n  18 -> 24 [size =\"14150656\"]\n  18 -> 25 [size =\"14150656\"]\n  18 -> 26 [size =\"14150656\"]\n  19 [size=\"48199680\", alpha=\"0.11\", expect_size=\"14459904\"] \n  19 -> 22 [size =\"14459904\"]\n  19 -> 24 [size =\"14459904\"]\n  19 -> 25 [size =\"14459904\"]\n  19 -> 26 [size =\"14459904\"]\n  19 -> 26 [size =\"14459904\"]\n  19 -> 27 [size =\"14459904\"]\n  20 [size=\"78643200\", alpha=\"0.15\", expect_size=\"23592960\"] \n  20 -> 23 [size =\"23592960\"]\n  20 -> 24 [size =\"23592960\"]\n  20 -> 25 [size =\"23592960\"]\n  21 [size=\"167536640\", alpha=\"0.04\", expect_size=\"50260992\"] \n  21 -> 30 [size =\"50260992\"]\n  21 -> 31 [size =\"50260992\"]\n  21 -> 32 [size =\"50260992\"]\n  22 [size=\"51636907\", alpha=\"0.08\", expect_size=\"15491072\"] \n  22 -> 29 [size =\"15491072\"]\n  22 -> 32 [size =\"15491072\"]\n  23 [size=\"99153920\", alpha=\"0.00\", expect_size=\"29746176\"] \n  23 -> 29 [size =\"29746176\"]\n  23 -> 32 [size =\"29746176\"]\n  24 [size=\"97399467\", alpha=\"0.18\", expect_size=\"29219840\"] \n  24 -> 28 [size =\"29219840\"]\n  24 -> 29 [size =\"29219840\"]\n  24 -> 32 [size =\"29219840\"]\n  25 [size=\"67536213\", alpha=\"0.17\", expect_size=\"20260864\"] \n  25 -> 29 [size =\"20260864\"]\n  25 -> 30 [size =\"20260864\"]\n  25 -> 31 [size =\"20260864\"]\n  25 -> 32 [size =\"20260864\"]\n  25 -> 33 [size =\"20260864\"]\n  26 [size=\"34519040\", alpha=\"0.09\", expect_size=\"10355712\"] \n  26 -> 32 [size =\"10355712\"]\n  26 -> 33 [size =\"10355712\"]\n  27 [size=\"148715520\", alpha=\"0.17\", expect_size=\"44614656\"] \n  27 -> 32 [size =\"44614656\"]\n  27 -> 33 [size =\"44614656\"]\n  28 [size=\"147537920\", alpha=\"0.13\", expect_size=\"44261376\"] \n  28 -> 34 [size =\"44261376\"]\n  29 [size=\"155893760\", alpha=\"0.05\", expect_size=\"46768128\"] \n  29 -> 34 [size =\"46768128\"]\n  29 -> 37 [size =\"46768128\"]\n  30 [size=\"88466773\", alpha=\"0.12\", expect_size=\"26540032\"] \n  30 -> 34 [size =\"26540032\"]\n  30 -> 38 [size =\"26540032\"]\n  31 [size=\"46206293\", alpha=\"0.12\", expect_size=\"13861888\"] \n  31 -> 34 [size =\"13861888\"]\n  31 -> 36 [size =\"13861888\"]\n  31 -> 38 [size =\"13861888\"]\n  32 [size=\"75103573\", alpha=\"0.14\", expect_size=\"22531072\"] \n  32 -> 34 [size =\"22531072\"]\n  33 [size=\"137178453\", alpha=\"0.20\", expect_size=\"41153536\"] \n  33 -> 34 [size =\"41153536\"]\n  33 -> 35 [size =\"41153536\"]\n  33 -> 38 [size =\"41153536\"]\n  34 [size=\"139257173\", alpha=\"0.01\", expect_size=\"41777152\"] \n  34 -> 40 [size =\"41777152\"]\n  35 [size=\"124023467\", alpha=\"0.01\", expect_size=\"37207040\"] \n  35 -> 39 [size =\"37207040\"]\n  36 [size=\"103772160\", alpha=\"0.01\", expect_size=\"31131648\"] \n  36 -> 39 [size =\"31131648\"]\n  36 -> 40 [size =\"31131648\"]\n  37 [size=\"18722133\", alpha=\"0.18\", expect_size=\"5616640\"] \n  37 -> 39 [size =\"5616640\"]\n  38 [size=\"152279040\", alpha=\"0.19\", expect_size=\"45683712\"] \n  38 -> 40 [size =\"45683712\"]\n  39 [size=\"98672640\", alpha=\"0.04\", expect_size=\"29601792\"] \n  40 [size=\"139492693\", alpha=\"0.17\", expect_size=\"41847808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39102464\", alpha=\"0.19\", expect_size=\"19551232\"] \n  1 -> 3 [size =\"19551232\"]\n  2 [size=\"13594624\", alpha=\"0.17\", expect_size=\"6797312\"] \n  2 -> 4 [size =\"6797312\"]\n  3 [size=\"69009408\", alpha=\"0.03\", expect_size=\"34504704\"] \n  3 -> 6 [size =\"34504704\"]\n  4 [size=\"94572544\", alpha=\"0.08\", expect_size=\"47286272\"] \n  4 -> 5 [size =\"47286272\"]\n  5 [size=\"72839168\", alpha=\"0.14\", expect_size=\"36419584\"] \n  6 [size=\"42872832\", alpha=\"0.01\", expect_size=\"21436416\"] \n  6 -> 7 [size =\"21436416\"]\n  6 -> 8 [size =\"21436416\"]\n  6 -> 9 [size =\"21436416\"]\n  7 [size=\"76752896\", alpha=\"0.05\", expect_size=\"38376448\"] \n  7 -> 11 [size =\"38376448\"]\n  8 [size=\"57020416\", alpha=\"0.19\", expect_size=\"28510208\"] \n  8 -> 10 [size =\"28510208\"]\n  9 [size=\"53430272\", alpha=\"0.09\", expect_size=\"26715136\"] \n  9 -> 11 [size =\"26715136\"]\n  10 [size=\"96958464\", alpha=\"0.02\", expect_size=\"48479232\"] \n  10 -> 12 [size =\"48479232\"]\n  10 -> 13 [size =\"48479232\"]\n  10 -> 14 [size =\"48479232\"]\n  11 [size=\"80244736\", alpha=\"0.18\", expect_size=\"40122368\"] \n  12 [size=\"73592832\", alpha=\"0.17\", expect_size=\"36796416\"] \n  13 [size=\"59916288\", alpha=\"0.13\", expect_size=\"29958144\"] \n  13 -> 15 [size =\"29958144\"]\n  13 -> 17 [size =\"29958144\"]\n  14 [size=\"75522048\", alpha=\"0.18\", expect_size=\"37761024\"] \n  14 -> 16 [size =\"37761024\"]\n  15 [size=\"17414144\", alpha=\"0.05\", expect_size=\"8707072\"] \n  15 -> 18 [size =\"8707072\"]\n  15 -> 20 [size =\"8707072\"]\n  16 [size=\"83316736\", alpha=\"0.20\", expect_size=\"41658368\"] \n  16 -> 18 [size =\"41658368\"]\n  16 -> 19 [size =\"41658368\"]\n  16 -> 20 [size =\"41658368\"]\n  17 [size=\"89821184\", alpha=\"0.08\", expect_size=\"44910592\"] \n  18 [size=\"20475904\", alpha=\"0.06\", expect_size=\"10237952\"] \n  18 -> 22 [size =\"10237952\"]\n  19 [size=\"13817856\", alpha=\"0.09\", expect_size=\"6908928\"] \n  19 -> 23 [size =\"6908928\"]\n  20 [size=\"57387008\", alpha=\"0.11\", expect_size=\"28693504\"] \n  20 -> 21 [size =\"28693504\"]\n  20 -> 22 [size =\"28693504\"]\n  20 -> 24 [size =\"28693504\"]\n  21 [size=\"65490944\", alpha=\"0.20\", expect_size=\"32745472\"] \n  22 [size=\"53946368\", alpha=\"0.09\", expect_size=\"26973184\"] \n  22 -> 25 [size =\"26973184\"]\n  22 -> 26 [size =\"26973184\"]\n  23 [size=\"39380992\", alpha=\"0.10\", expect_size=\"19690496\"] \n  23 -> 25 [size =\"19690496\"]\n  24 [size=\"101537792\", alpha=\"0.10\", expect_size=\"50768896\"] \n  25 [size=\"93698048\", alpha=\"0.02\", expect_size=\"46849024\"] \n  25 -> 27 [size =\"46849024\"]\n  26 [size=\"24762368\", alpha=\"0.01\", expect_size=\"12381184\"] \n  26 -> 28 [size =\"12381184\"]\n  26 -> 29 [size =\"12381184\"]\n  27 [size=\"23965696\", alpha=\"0.15\", expect_size=\"11982848\"] \n  27 -> 30 [size =\"11982848\"]\n  28 [size=\"62064640\", alpha=\"0.18\", expect_size=\"31032320\"] \n  28 -> 31 [size =\"31032320\"]\n  29 [size=\"92078080\", alpha=\"0.10\", expect_size=\"46039040\"] \n  30 [size=\"40550400\", alpha=\"0.01\", expect_size=\"20275200\"] \n  30 -> 32 [size =\"20275200\"]\n  30 -> 33 [size =\"20275200\"]\n  31 [size=\"94373888\", alpha=\"0.07\", expect_size=\"47186944\"] \n  31 -> 34 [size =\"47186944\"]\n  31 -> 35 [size =\"47186944\"]\n  32 [size=\"93421568\", alpha=\"0.05\", expect_size=\"46710784\"] \n  32 -> 36 [size =\"46710784\"]\n  32 -> 37 [size =\"46710784\"]\n  33 [size=\"40802304\", alpha=\"0.15\", expect_size=\"20401152\"] \n  34 [size=\"89413632\", alpha=\"0.18\", expect_size=\"44706816\"] \n  34 -> 38 [size =\"44706816\"]\n  35 [size=\"40226816\", alpha=\"0.02\", expect_size=\"20113408\"] \n  35 -> 36 [size =\"20113408\"]\n  35 -> 37 [size =\"20113408\"]\n  36 [size=\"49969152\", alpha=\"0.02\", expect_size=\"24984576\"] \n  37 [size=\"56655872\", alpha=\"0.19\", expect_size=\"28327936\"] \n  37 -> 39 [size =\"28327936\"]\n  37 -> 40 [size =\"28327936\"]\n  38 [size=\"32184320\", alpha=\"0.18\", expect_size=\"16092160\"] \n  38 -> 39 [size =\"16092160\"]\n  38 -> 40 [size =\"16092160\"]\n  39 [size=\"23089152\", alpha=\"0.18\", expect_size=\"11544576\"] \n  40 [size=\"72316928\", alpha=\"0.07\", expect_size=\"36158464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64135168\", alpha=\"0.01\", expect_size=\"32067584\"] \n  1 -> 9 [size =\"32067584\"]\n  1 -> 10 [size =\"32067584\"]\n  2 [size=\"84043776\", alpha=\"0.04\", expect_size=\"42021888\"] \n  2 -> 8 [size =\"42021888\"]\n  2 -> 10 [size =\"42021888\"]\n  3 [size=\"38713344\", alpha=\"0.13\", expect_size=\"19356672\"] \n  3 -> 7 [size =\"19356672\"]\n  3 -> 8 [size =\"19356672\"]\n  4 [size=\"100077568\", alpha=\"0.16\", expect_size=\"50038784\"] \n  4 -> 6 [size =\"50038784\"]\n  4 -> 7 [size =\"50038784\"]\n  4 -> 8 [size =\"50038784\"]\n  4 -> 9 [size =\"50038784\"]\n  5 [size=\"103819264\", alpha=\"0.14\", expect_size=\"51909632\"] \n  5 -> 8 [size =\"51909632\"]\n  5 -> 9 [size =\"51909632\"]\n  5 -> 10 [size =\"51909632\"]\n  6 [size=\"47689728\", alpha=\"0.04\", expect_size=\"23844864\"] \n  6 -> 11 [size =\"23844864\"]\n  6 -> 12 [size =\"23844864\"]\n  6 -> 13 [size =\"23844864\"]\n  7 [size=\"84785152\", alpha=\"0.10\", expect_size=\"42392576\"] \n  7 -> 14 [size =\"42392576\"]\n  8 [size=\"39342080\", alpha=\"0.12\", expect_size=\"19671040\"] \n  8 -> 11 [size =\"19671040\"]\n  8 -> 12 [size =\"19671040\"]\n  8 -> 13 [size =\"19671040\"]\n  8 -> 14 [size =\"19671040\"]\n  8 -> 15 [size =\"19671040\"]\n  9 [size=\"57485312\", alpha=\"0.09\", expect_size=\"28742656\"] \n  9 -> 12 [size =\"28742656\"]\n  10 [size=\"15861760\", alpha=\"0.03\", expect_size=\"7930880\"] \n  10 -> 12 [size =\"7930880\"]\n  10 -> 13 [size =\"7930880\"]\n  11 [size=\"39264256\", alpha=\"0.01\", expect_size=\"19632128\"] \n  11 -> 19 [size =\"19632128\"]\n  11 -> 21 [size =\"19632128\"]\n  12 [size=\"43388928\", alpha=\"0.16\", expect_size=\"21694464\"] \n  12 -> 16 [size =\"21694464\"]\n  12 -> 17 [size =\"21694464\"]\n  12 -> 19 [size =\"21694464\"]\n  12 -> 20 [size =\"21694464\"]\n  13 [size=\"64053248\", alpha=\"0.01\", expect_size=\"32026624\"] \n  13 -> 16 [size =\"32026624\"]\n  13 -> 17 [size =\"32026624\"]\n  13 -> 18 [size =\"32026624\"]\n  13 -> 19 [size =\"32026624\"]\n  13 -> 21 [size =\"32026624\"]\n  14 [size=\"30535680\", alpha=\"0.19\", expect_size=\"15267840\"] \n  14 -> 16 [size =\"15267840\"]\n  14 -> 17 [size =\"15267840\"]\n  14 -> 18 [size =\"15267840\"]\n  15 [size=\"104130560\", alpha=\"0.03\", expect_size=\"52065280\"] \n  15 -> 16 [size =\"52065280\"]\n  15 -> 17 [size =\"52065280\"]\n  15 -> 18 [size =\"52065280\"]\n  15 -> 21 [size =\"52065280\"]\n  16 [size=\"76285952\", alpha=\"0.10\", expect_size=\"38142976\"] \n  16 -> 22 [size =\"38142976\"]\n  16 -> 24 [size =\"38142976\"]\n  16 -> 24 [size =\"38142976\"]\n  16 -> 26 [size =\"38142976\"]\n  17 [size=\"95266816\", alpha=\"0.01\", expect_size=\"47633408\"] \n  17 -> 22 [size =\"47633408\"]\n  17 -> 26 [size =\"47633408\"]\n  17 -> 27 [size =\"47633408\"]\n  18 [size=\"49926144\", alpha=\"0.02\", expect_size=\"24963072\"] \n  19 [size=\"12453888\", alpha=\"0.13\", expect_size=\"6226944\"] \n  19 -> 22 [size =\"6226944\"]\n  19 -> 25 [size =\"6226944\"]\n  19 -> 26 [size =\"6226944\"]\n  19 -> 27 [size =\"6226944\"]\n  20 [size=\"53051392\", alpha=\"0.18\", expect_size=\"26525696\"] \n  20 -> 24 [size =\"26525696\"]\n  20 -> 25 [size =\"26525696\"]\n  21 [size=\"67284992\", alpha=\"0.14\", expect_size=\"33642496\"] \n  21 -> 22 [size =\"33642496\"]\n  21 -> 23 [size =\"33642496\"]\n  21 -> 24 [size =\"33642496\"]\n  21 -> 26 [size =\"33642496\"]\n  21 -> 27 [size =\"33642496\"]\n  22 [size=\"70842368\", alpha=\"0.06\", expect_size=\"35421184\"] \n  22 -> 29 [size =\"35421184\"]\n  22 -> 32 [size =\"35421184\"]\n  22 -> 33 [size =\"35421184\"]\n  23 [size=\"53479424\", alpha=\"0.04\", expect_size=\"26739712\"] \n  23 -> 28 [size =\"26739712\"]\n  23 -> 30 [size =\"26739712\"]\n  23 -> 31 [size =\"26739712\"]\n  24 [size=\"56602624\", alpha=\"0.01\", expect_size=\"28301312\"] \n  24 -> 28 [size =\"28301312\"]\n  24 -> 29 [size =\"28301312\"]\n  24 -> 30 [size =\"28301312\"]\n  24 -> 33 [size =\"28301312\"]\n  25 [size=\"51527680\", alpha=\"0.18\", expect_size=\"25763840\"] \n  25 -> 28 [size =\"25763840\"]\n  25 -> 29 [size =\"25763840\"]\n  25 -> 30 [size =\"25763840\"]\n  25 -> 31 [size =\"25763840\"]\n  25 -> 32 [size =\"25763840\"]\n  25 -> 33 [size =\"25763840\"]\n  26 [size=\"67334144\", alpha=\"0.03\", expect_size=\"33667072\"] \n  26 -> 28 [size =\"33667072\"]\n  26 -> 30 [size =\"33667072\"]\n  26 -> 30 [size =\"33667072\"]\n  26 -> 31 [size =\"33667072\"]\n  26 -> 32 [size =\"33667072\"]\n  26 -> 33 [size =\"33667072\"]\n  27 [size=\"21006336\", alpha=\"0.03\", expect_size=\"10503168\"] \n  27 -> 28 [size =\"10503168\"]\n  27 -> 29 [size =\"10503168\"]\n  27 -> 32 [size =\"10503168\"]\n  28 [size=\"25767936\", alpha=\"0.10\", expect_size=\"12883968\"] \n  28 -> 36 [size =\"12883968\"]\n  28 -> 37 [size =\"12883968\"]\n  29 [size=\"36444160\", alpha=\"0.06\", expect_size=\"18222080\"] \n  30 [size=\"96589824\", alpha=\"0.04\", expect_size=\"48294912\"] \n  30 -> 34 [size =\"48294912\"]\n  30 -> 36 [size =\"48294912\"]\n  30 -> 38 [size =\"48294912\"]\n  31 [size=\"86257664\", alpha=\"0.07\", expect_size=\"43128832\"] \n  31 -> 37 [size =\"43128832\"]\n  31 -> 38 [size =\"43128832\"]\n  32 [size=\"59099136\", alpha=\"0.18\", expect_size=\"29549568\"] \n  32 -> 36 [size =\"29549568\"]\n  32 -> 37 [size =\"29549568\"]\n  32 -> 38 [size =\"29549568\"]\n  32 -> 39 [size =\"29549568\"]\n  33 [size=\"88670208\", alpha=\"0.00\", expect_size=\"44335104\"] \n  33 -> 35 [size =\"44335104\"]\n  33 -> 36 [size =\"44335104\"]\n  33 -> 37 [size =\"44335104\"]\n  33 -> 38 [size =\"44335104\"]\n  33 -> 39 [size =\"44335104\"]\n  34 [size=\"14458880\", alpha=\"0.06\", expect_size=\"7229440\"] \n  34 -> 40 [size =\"7229440\"]\n  35 [size=\"20430848\", alpha=\"0.13\", expect_size=\"10215424\"] \n  36 [size=\"11175936\", alpha=\"0.13\", expect_size=\"5587968\"] \n  36 -> 40 [size =\"5587968\"]\n  37 [size=\"23898112\", alpha=\"0.11\", expect_size=\"11949056\"] \n  38 [size=\"38529024\", alpha=\"0.17\", expect_size=\"19264512\"] \n  38 -> 40 [size =\"19264512\"]\n  39 [size=\"83924992\", alpha=\"0.04\", expect_size=\"41962496\"] \n  39 -> 40 [size =\"41962496\"]\n  40 [size=\"18343936\", alpha=\"0.20\", expect_size=\"9171968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95183360\", alpha=\"0.10\", expect_size=\"38073344\"] \n  1 -> 2 [size =\"38073344\"]\n  1 -> 3 [size =\"38073344\"]\n  1 -> 4 [size =\"38073344\"]\n  1 -> 5 [size =\"38073344\"]\n  2 [size=\"104194560\", alpha=\"0.03\", expect_size=\"41677824\"] \n  2 -> 9 [size =\"41677824\"]\n  3 [size=\"50967040\", alpha=\"0.11\", expect_size=\"20386816\"] \n  3 -> 6 [size =\"20386816\"]\n  3 -> 8 [size =\"20386816\"]\n  4 [size=\"89479680\", alpha=\"0.13\", expect_size=\"35791872\"] \n  4 -> 7 [size =\"35791872\"]\n  5 [size=\"49256960\", alpha=\"0.18\", expect_size=\"19702784\"] \n  5 -> 9 [size =\"19702784\"]\n  6 [size=\"68072960\", alpha=\"0.16\", expect_size=\"27229184\"] \n  7 [size=\"102144000\", alpha=\"0.04\", expect_size=\"40857600\"] \n  7 -> 10 [size =\"40857600\"]\n  7 -> 11 [size =\"40857600\"]\n  8 [size=\"20183040\", alpha=\"0.04\", expect_size=\"8073216\"] \n  9 [size=\"37035520\", alpha=\"0.19\", expect_size=\"14814208\"] \n  9 -> 11 [size =\"14814208\"]\n  10 [size=\"94220800\", alpha=\"0.05\", expect_size=\"37688320\"] \n  10 -> 12 [size =\"37688320\"]\n  10 -> 13 [size =\"37688320\"]\n  11 [size=\"46950400\", alpha=\"0.20\", expect_size=\"18780160\"] \n  12 [size=\"105610240\", alpha=\"0.14\", expect_size=\"42244096\"] \n  13 [size=\"122117120\", alpha=\"0.15\", expect_size=\"48846848\"] \n  13 -> 14 [size =\"48846848\"]\n  13 -> 15 [size =\"48846848\"]\n  14 [size=\"67635200\", alpha=\"0.03\", expect_size=\"27054080\"] \n  14 -> 17 [size =\"27054080\"]\n  15 [size=\"24934400\", alpha=\"0.09\", expect_size=\"9973760\"] \n  15 -> 16 [size =\"9973760\"]\n  16 [size=\"15946240\", alpha=\"0.13\", expect_size=\"6378496\"] \n  16 -> 18 [size =\"6378496\"]\n  16 -> 20 [size =\"6378496\"]\n  17 [size=\"109941760\", alpha=\"0.04\", expect_size=\"43976704\"] \n  17 -> 19 [size =\"43976704\"]\n  18 [size=\"14712320\", alpha=\"0.08\", expect_size=\"5884928\"] \n  18 -> 21 [size =\"5884928\"]\n  18 -> 22 [size =\"5884928\"]\n  18 -> 24 [size =\"5884928\"]\n  19 [size=\"36328960\", alpha=\"0.04\", expect_size=\"14531584\"] \n  19 -> 23 [size =\"14531584\"]\n  20 [size=\"31047680\", alpha=\"0.17\", expect_size=\"12419072\"] \n  20 -> 24 [size =\"12419072\"]\n  21 [size=\"59064320\", alpha=\"0.04\", expect_size=\"23625728\"] \n  21 -> 25 [size =\"23625728\"]\n  22 [size=\"57861120\", alpha=\"0.07\", expect_size=\"23144448\"] \n  23 [size=\"23424000\", alpha=\"0.16\", expect_size=\"9369600\"] \n  23 -> 25 [size =\"9369600\"]\n  24 [size=\"109568000\", alpha=\"0.18\", expect_size=\"43827200\"] \n  25 [size=\"128939520\", alpha=\"0.06\", expect_size=\"51575808\"] \n  25 -> 26 [size =\"51575808\"]\n  25 -> 27 [size =\"51575808\"]\n  25 -> 28 [size =\"51575808\"]\n  26 [size=\"61928960\", alpha=\"0.03\", expect_size=\"24771584\"] \n  26 -> 29 [size =\"24771584\"]\n  26 -> 31 [size =\"24771584\"]\n  27 [size=\"18833920\", alpha=\"0.16\", expect_size=\"7533568\"] \n  28 [size=\"42713600\", alpha=\"0.10\", expect_size=\"17085440\"] \n  28 -> 30 [size =\"17085440\"]\n  28 -> 31 [size =\"17085440\"]\n  29 [size=\"90800640\", alpha=\"0.07\", expect_size=\"36320256\"] \n  30 [size=\"113208320\", alpha=\"0.19\", expect_size=\"45283328\"] \n  30 -> 33 [size =\"45283328\"]\n  31 [size=\"95751680\", alpha=\"0.16\", expect_size=\"38300672\"] \n  31 -> 32 [size =\"38300672\"]\n  32 [size=\"120512000\", alpha=\"0.09\", expect_size=\"48204800\"] \n  32 -> 34 [size =\"48204800\"]\n  32 -> 35 [size =\"48204800\"]\n  32 -> 37 [size =\"48204800\"]\n  33 [size=\"42647040\", alpha=\"0.00\", expect_size=\"17058816\"] \n  33 -> 36 [size =\"17058816\"]\n  34 [size=\"17981440\", alpha=\"0.01\", expect_size=\"7192576\"] \n  34 -> 39 [size =\"7192576\"]\n  35 [size=\"122887680\", alpha=\"0.04\", expect_size=\"49155072\"] \n  35 -> 38 [size =\"49155072\"]\n  35 -> 39 [size =\"49155072\"]\n  36 [size=\"39623680\", alpha=\"0.07\", expect_size=\"15849472\"] \n  37 [size=\"59084800\", alpha=\"0.07\", expect_size=\"23633920\"] \n  38 [size=\"34383360\", alpha=\"0.06\", expect_size=\"13753344\"] \n  39 [size=\"90557440\", alpha=\"0.10\", expect_size=\"36222976\"] \n  39 -> 40 [size =\"36222976\"]\n  40 [size=\"15610880\", alpha=\"0.17\", expect_size=\"6244352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83983360\", alpha=\"0.15\", expect_size=\"33593344\"] \n  1 -> 15 [size =\"33593344\"]\n  1 -> 18 [size =\"33593344\"]\n  1 -> 22 [size =\"33593344\"]\n  1 -> 26 [size =\"33593344\"]\n  1 -> 27 [size =\"33593344\"]\n  2 [size=\"50544640\", alpha=\"0.10\", expect_size=\"20217856\"] \n  2 -> 15 [size =\"20217856\"]\n  2 -> 18 [size =\"20217856\"]\n  2 -> 20 [size =\"20217856\"]\n  2 -> 21 [size =\"20217856\"]\n  2 -> 22 [size =\"20217856\"]\n  2 -> 23 [size =\"20217856\"]\n  2 -> 24 [size =\"20217856\"]\n  3 [size=\"85634560\", alpha=\"0.12\", expect_size=\"34253824\"] \n  3 -> 15 [size =\"34253824\"]\n  3 -> 18 [size =\"34253824\"]\n  3 -> 20 [size =\"34253824\"]\n  3 -> 21 [size =\"34253824\"]\n  3 -> 24 [size =\"34253824\"]\n  3 -> 25 [size =\"34253824\"]\n  3 -> 26 [size =\"34253824\"]\n  3 -> 27 [size =\"34253824\"]\n  4 [size=\"82344960\", alpha=\"0.09\", expect_size=\"32937984\"] \n  4 -> 18 [size =\"32937984\"]\n  4 -> 20 [size =\"32937984\"]\n  4 -> 22 [size =\"32937984\"]\n  4 -> 23 [size =\"32937984\"]\n  4 -> 24 [size =\"32937984\"]\n  5 [size=\"121927680\", alpha=\"0.05\", expect_size=\"48771072\"] \n  5 -> 18 [size =\"48771072\"]\n  5 -> 22 [size =\"48771072\"]\n  5 -> 23 [size =\"48771072\"]\n  5 -> 24 [size =\"48771072\"]\n  5 -> 26 [size =\"48771072\"]\n  6 [size=\"62666240\", alpha=\"0.07\", expect_size=\"25066496\"] \n  6 -> 15 [size =\"25066496\"]\n  6 -> 17 [size =\"25066496\"]\n  6 -> 21 [size =\"25066496\"]\n  6 -> 23 [size =\"25066496\"]\n  6 -> 25 [size =\"25066496\"]\n  7 [size=\"87800320\", alpha=\"0.09\", expect_size=\"35120128\"] \n  7 -> 19 [size =\"35120128\"]\n  7 -> 21 [size =\"35120128\"]\n  7 -> 22 [size =\"35120128\"]\n  8 [size=\"79882240\", alpha=\"0.08\", expect_size=\"31952896\"] \n  8 -> 18 [size =\"31952896\"]\n  8 -> 19 [size =\"31952896\"]\n  8 -> 21 [size =\"31952896\"]\n  8 -> 22 [size =\"31952896\"]\n  8 -> 25 [size =\"31952896\"]\n  8 -> 28 [size =\"31952896\"]\n  9 [size=\"93137920\", alpha=\"0.08\", expect_size=\"37255168\"] \n  9 -> 20 [size =\"37255168\"]\n  9 -> 21 [size =\"37255168\"]\n  9 -> 21 [size =\"37255168\"]\n  9 -> 22 [size =\"37255168\"]\n  9 -> 24 [size =\"37255168\"]\n  9 -> 27 [size =\"37255168\"]\n  10 [size=\"45178880\", alpha=\"0.09\", expect_size=\"18071552\"] \n  10 -> 15 [size =\"18071552\"]\n  10 -> 18 [size =\"18071552\"]\n  10 -> 20 [size =\"18071552\"]\n  10 -> 21 [size =\"18071552\"]\n  10 -> 24 [size =\"18071552\"]\n  10 -> 27 [size =\"18071552\"]\n  11 [size=\"112378880\", alpha=\"0.05\", expect_size=\"44951552\"] \n  11 -> 15 [size =\"44951552\"]\n  11 -> 26 [size =\"44951552\"]\n  11 -> 27 [size =\"44951552\"]\n  12 [size=\"82854400\", alpha=\"0.19\", expect_size=\"33141760\"] \n  12 -> 20 [size =\"33141760\"]\n  12 -> 24 [size =\"33141760\"]\n  12 -> 27 [size =\"33141760\"]\n  12 -> 28 [size =\"33141760\"]\n  13 [size=\"21742080\", alpha=\"0.18\", expect_size=\"8696832\"] \n  13 -> 15 [size =\"8696832\"]\n  13 -> 18 [size =\"8696832\"]\n  13 -> 21 [size =\"8696832\"]\n  13 -> 22 [size =\"8696832\"]\n  13 -> 25 [size =\"8696832\"]\n  13 -> 27 [size =\"8696832\"]\n  14 [size=\"91384320\", alpha=\"0.02\", expect_size=\"36553728\"] \n  14 -> 15 [size =\"36553728\"]\n  14 -> 16 [size =\"36553728\"]\n  14 -> 18 [size =\"36553728\"]\n  14 -> 19 [size =\"36553728\"]\n  14 -> 23 [size =\"36553728\"]\n  14 -> 27 [size =\"36553728\"]\n  15 [size=\"25103360\", alpha=\"0.09\", expect_size=\"10041344\"] \n  15 -> 30 [size =\"10041344\"]\n  15 -> 31 [size =\"10041344\"]\n  15 -> 32 [size =\"10041344\"]\n  16 [size=\"57000960\", alpha=\"0.09\", expect_size=\"22800384\"] \n  16 -> 31 [size =\"22800384\"]\n  16 -> 33 [size =\"22800384\"]\n  17 [size=\"99120640\", alpha=\"0.09\", expect_size=\"39648256\"] \n  17 -> 31 [size =\"39648256\"]\n  17 -> 33 [size =\"39648256\"]\n  18 [size=\"35013120\", alpha=\"0.04\", expect_size=\"14005248\"] \n  18 -> 34 [size =\"14005248\"]\n  19 [size=\"84518400\", alpha=\"0.05\", expect_size=\"33807360\"] \n  19 -> 29 [size =\"33807360\"]\n  19 -> 31 [size =\"33807360\"]\n  19 -> 32 [size =\"33807360\"]\n  19 -> 34 [size =\"33807360\"]\n  20 [size=\"130170880\", alpha=\"0.17\", expect_size=\"52068352\"] \n  20 -> 31 [size =\"52068352\"]\n  20 -> 32 [size =\"52068352\"]\n  21 [size=\"67622400\", alpha=\"0.01\", expect_size=\"27048960\"] \n  21 -> 31 [size =\"27048960\"]\n  21 -> 33 [size =\"27048960\"]\n  21 -> 34 [size =\"27048960\"]\n  21 -> 35 [size =\"27048960\"]\n  22 [size=\"96870400\", alpha=\"0.11\", expect_size=\"38748160\"] \n  23 [size=\"92052480\", alpha=\"0.14\", expect_size=\"36820992\"] \n  24 [size=\"77568000\", alpha=\"0.09\", expect_size=\"31027200\"] \n  24 -> 34 [size =\"31027200\"]\n  25 [size=\"92208640\", alpha=\"0.02\", expect_size=\"36883456\"] \n  25 -> 29 [size =\"36883456\"]\n  25 -> 32 [size =\"36883456\"]\n  26 [size=\"25134080\", alpha=\"0.03\", expect_size=\"10053632\"] \n  27 [size=\"76654080\", alpha=\"0.17\", expect_size=\"30661632\"] \n  27 -> 33 [size =\"30661632\"]\n  28 [size=\"128637440\", alpha=\"0.02\", expect_size=\"51454976\"] \n  29 [size=\"35514880\", alpha=\"0.01\", expect_size=\"14205952\"] \n  29 -> 36 [size =\"14205952\"]\n  29 -> 40 [size =\"14205952\"]\n  30 [size=\"62676480\", alpha=\"0.06\", expect_size=\"25070592\"] \n  30 -> 36 [size =\"25070592\"]\n  30 -> 40 [size =\"25070592\"]\n  31 [size=\"43435520\", alpha=\"0.07\", expect_size=\"17374208\"] \n  31 -> 36 [size =\"17374208\"]\n  32 [size=\"48668160\", alpha=\"0.00\", expect_size=\"19467264\"] \n  32 -> 36 [size =\"19467264\"]\n  32 -> 37 [size =\"19467264\"]\n  33 [size=\"115809280\", alpha=\"0.15\", expect_size=\"46323712\"] \n  33 -> 38 [size =\"46323712\"]\n  33 -> 39 [size =\"46323712\"]\n  34 [size=\"81461760\", alpha=\"0.02\", expect_size=\"32584704\"] \n  34 -> 39 [size =\"32584704\"]\n  35 [size=\"14865920\", alpha=\"0.12\", expect_size=\"5946368\"] \n  35 -> 36 [size =\"5946368\"]\n  35 -> 37 [size =\"5946368\"]\n  35 -> 39 [size =\"5946368\"]\n  35 -> 40 [size =\"5946368\"]\n  36 [size=\"24844800\", alpha=\"0.09\", expect_size=\"9937920\"] \n  37 [size=\"42992640\", alpha=\"0.01\", expect_size=\"17197056\"] \n  38 [size=\"26040320\", alpha=\"0.17\", expect_size=\"10416128\"] \n  39 [size=\"40765440\", alpha=\"0.04\", expect_size=\"16306176\"] \n  40 [size=\"49236480\", alpha=\"0.12\", expect_size=\"19694592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94223360\", alpha=\"0.19\", expect_size=\"37689344\"] \n  1 -> 25 [size =\"37689344\"]\n  1 -> 33 [size =\"37689344\"]\n  1 -> 37 [size =\"37689344\"]\n  1 -> 38 [size =\"37689344\"]\n  1 -> 40 [size =\"37689344\"]\n  2 [size=\"38970880\", alpha=\"0.08\", expect_size=\"15588352\"] \n  2 -> 25 [size =\"15588352\"]\n  2 -> 30 [size =\"15588352\"]\n  2 -> 33 [size =\"15588352\"]\n  2 -> 35 [size =\"15588352\"]\n  2 -> 38 [size =\"15588352\"]\n  2 -> 40 [size =\"15588352\"]\n  3 [size=\"110005760\", alpha=\"0.13\", expect_size=\"44002304\"] \n  3 -> 24 [size =\"44002304\"]\n  3 -> 25 [size =\"44002304\"]\n  3 -> 26 [size =\"44002304\"]\n  3 -> 27 [size =\"44002304\"]\n  3 -> 30 [size =\"44002304\"]\n  3 -> 33 [size =\"44002304\"]\n  3 -> 35 [size =\"44002304\"]\n  4 [size=\"100500480\", alpha=\"0.14\", expect_size=\"40200192\"] \n  4 -> 26 [size =\"40200192\"]\n  4 -> 30 [size =\"40200192\"]\n  4 -> 32 [size =\"40200192\"]\n  4 -> 33 [size =\"40200192\"]\n  5 [size=\"40102400\", alpha=\"0.06\", expect_size=\"16040960\"] \n  5 -> 25 [size =\"16040960\"]\n  5 -> 30 [size =\"16040960\"]\n  5 -> 32 [size =\"16040960\"]\n  5 -> 38 [size =\"16040960\"]\n  5 -> 40 [size =\"16040960\"]\n  6 [size=\"52528640\", alpha=\"0.15\", expect_size=\"21011456\"] \n  6 -> 25 [size =\"21011456\"]\n  6 -> 30 [size =\"21011456\"]\n  6 -> 35 [size =\"21011456\"]\n  6 -> 37 [size =\"21011456\"]\n  6 -> 38 [size =\"21011456\"]\n  7 [size=\"30563840\", alpha=\"0.01\", expect_size=\"12225536\"] \n  7 -> 26 [size =\"12225536\"]\n  7 -> 30 [size =\"12225536\"]\n  7 -> 32 [size =\"12225536\"]\n  7 -> 35 [size =\"12225536\"]\n  7 -> 39 [size =\"12225536\"]\n  8 [size=\"41848320\", alpha=\"0.10\", expect_size=\"16739328\"] \n  8 -> 25 [size =\"16739328\"]\n  8 -> 31 [size =\"16739328\"]\n  8 -> 35 [size =\"16739328\"]\n  8 -> 39 [size =\"16739328\"]\n  9 [size=\"94072320\", alpha=\"0.07\", expect_size=\"37628928\"] \n  9 -> 25 [size =\"37628928\"]\n  9 -> 32 [size =\"37628928\"]\n  9 -> 35 [size =\"37628928\"]\n  10 [size=\"30044160\", alpha=\"0.13\", expect_size=\"12017664\"] \n  10 -> 25 [size =\"12017664\"]\n  10 -> 29 [size =\"12017664\"]\n  10 -> 30 [size =\"12017664\"]\n  10 -> 34 [size =\"12017664\"]\n  10 -> 35 [size =\"12017664\"]\n  11 [size=\"78686720\", alpha=\"0.18\", expect_size=\"31474688\"] \n  11 -> 25 [size =\"31474688\"]\n  11 -> 29 [size =\"31474688\"]\n  11 -> 32 [size =\"31474688\"]\n  11 -> 37 [size =\"31474688\"]\n  12 [size=\"74918400\", alpha=\"0.07\", expect_size=\"29967360\"] \n  12 -> 25 [size =\"29967360\"]\n  12 -> 37 [size =\"29967360\"]\n  12 -> 40 [size =\"29967360\"]\n  13 [size=\"122869760\", alpha=\"0.00\", expect_size=\"49147904\"] \n  13 -> 29 [size =\"49147904\"]\n  13 -> 30 [size =\"49147904\"]\n  13 -> 40 [size =\"49147904\"]\n  14 [size=\"79549440\", alpha=\"0.18\", expect_size=\"31819776\"] \n  14 -> 33 [size =\"31819776\"]\n  14 -> 36 [size =\"31819776\"]\n  14 -> 38 [size =\"31819776\"]\n  14 -> 40 [size =\"31819776\"]\n  15 [size=\"42913280\", alpha=\"0.15\", expect_size=\"17165312\"] \n  15 -> 27 [size =\"17165312\"]\n  16 [size=\"76490240\", alpha=\"0.08\", expect_size=\"30596096\"] \n  16 -> 27 [size =\"30596096\"]\n  16 -> 28 [size =\"30596096\"]\n  16 -> 35 [size =\"30596096\"]\n  16 -> 38 [size =\"30596096\"]\n  17 [size=\"46141440\", alpha=\"0.18\", expect_size=\"18456576\"] \n  17 -> 24 [size =\"18456576\"]\n  17 -> 35 [size =\"18456576\"]\n  17 -> 38 [size =\"18456576\"]\n  17 -> 38 [size =\"18456576\"]\n  17 -> 39 [size =\"18456576\"]\n  18 [size=\"50598400\", alpha=\"0.16\", expect_size=\"20239360\"] \n  18 -> 24 [size =\"20239360\"]\n  18 -> 27 [size =\"20239360\"]\n  18 -> 30 [size =\"20239360\"]\n  18 -> 35 [size =\"20239360\"]\n  18 -> 37 [size =\"20239360\"]\n  19 [size=\"112378880\", alpha=\"0.02\", expect_size=\"44951552\"] \n  19 -> 24 [size =\"44951552\"]\n  19 -> 27 [size =\"44951552\"]\n  19 -> 29 [size =\"44951552\"]\n  19 -> 32 [size =\"44951552\"]\n  19 -> 33 [size =\"44951552\"]\n  19 -> 35 [size =\"44951552\"]\n  19 -> 37 [size =\"44951552\"]\n  19 -> 38 [size =\"44951552\"]\n  19 -> 40 [size =\"44951552\"]\n  20 [size=\"37191680\", alpha=\"0.05\", expect_size=\"14876672\"] \n  20 -> 27 [size =\"14876672\"]\n  20 -> 34 [size =\"14876672\"]\n  20 -> 35 [size =\"14876672\"]\n  20 -> 37 [size =\"14876672\"]\n  21 [size=\"116572160\", alpha=\"0.01\", expect_size=\"46628864\"] \n  21 -> 24 [size =\"46628864\"]\n  21 -> 27 [size =\"46628864\"]\n  21 -> 29 [size =\"46628864\"]\n  21 -> 37 [size =\"46628864\"]\n  21 -> 39 [size =\"46628864\"]\n  21 -> 40 [size =\"46628864\"]\n  22 [size=\"102760960\", alpha=\"0.01\", expect_size=\"41104384\"] \n  22 -> 27 [size =\"41104384\"]\n  22 -> 29 [size =\"41104384\"]\n  22 -> 30 [size =\"41104384\"]\n  22 -> 32 [size =\"41104384\"]\n  22 -> 36 [size =\"41104384\"]\n  22 -> 37 [size =\"41104384\"]\n  22 -> 39 [size =\"41104384\"]\n  23 [size=\"26657280\", alpha=\"0.18\", expect_size=\"10662912\"] \n  23 -> 26 [size =\"10662912\"]\n  23 -> 30 [size =\"10662912\"]\n  23 -> 32 [size =\"10662912\"]\n  23 -> 36 [size =\"10662912\"]\n  23 -> 39 [size =\"10662912\"]\n  24 [size=\"27404800\", alpha=\"0.10\", expect_size=\"10961920\"] \n  25 [size=\"15554560\", alpha=\"0.06\", expect_size=\"6221824\"] \n  26 [size=\"104875520\", alpha=\"0.09\", expect_size=\"41950208\"] \n  27 [size=\"35788800\", alpha=\"0.15\", expect_size=\"14315520\"] \n  28 [size=\"21657600\", alpha=\"0.06\", expect_size=\"8663040\"] \n  29 [size=\"115589120\", alpha=\"0.11\", expect_size=\"46235648\"] \n  30 [size=\"128227840\", alpha=\"0.18\", expect_size=\"51291136\"] \n  31 [size=\"36940800\", alpha=\"0.17\", expect_size=\"14776320\"] \n  32 [size=\"40814080\", alpha=\"0.06\", expect_size=\"16325632\"] \n  33 [size=\"47744000\", alpha=\"0.13\", expect_size=\"19097600\"] \n  34 [size=\"36666880\", alpha=\"0.12\", expect_size=\"14666752\"] \n  35 [size=\"94976000\", alpha=\"0.16\", expect_size=\"37990400\"] \n  36 [size=\"13739520\", alpha=\"0.11\", expect_size=\"5495808\"] \n  37 [size=\"68311040\", alpha=\"0.11\", expect_size=\"27324416\"] \n  38 [size=\"40215040\", alpha=\"0.18\", expect_size=\"16086016\"] \n  39 [size=\"76162560\", alpha=\"0.02\", expect_size=\"30465024\"] \n  40 [size=\"21186560\", alpha=\"0.09\", expect_size=\"8474624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93018112\", alpha=\"0.02\", expect_size=\"46509056\"] \n  1 -> 18 [size =\"46509056\"]\n  1 -> 19 [size =\"46509056\"]\n  1 -> 22 [size =\"46509056\"]\n  1 -> 24 [size =\"46509056\"]\n  1 -> 25 [size =\"46509056\"]\n  2 [size=\"26429440\", alpha=\"0.16\", expect_size=\"13214720\"] \n  2 -> 17 [size =\"13214720\"]\n  2 -> 18 [size =\"13214720\"]\n  2 -> 20 [size =\"13214720\"]\n  3 [size=\"81895424\", alpha=\"0.07\", expect_size=\"40947712\"] \n  3 -> 19 [size =\"40947712\"]\n  3 -> 26 [size =\"40947712\"]\n  4 [size=\"68579328\", alpha=\"0.12\", expect_size=\"34289664\"] \n  4 -> 17 [size =\"34289664\"]\n  4 -> 20 [size =\"34289664\"]\n  4 -> 21 [size =\"34289664\"]\n  4 -> 22 [size =\"34289664\"]\n  4 -> 24 [size =\"34289664\"]\n  4 -> 27 [size =\"34289664\"]\n  5 [size=\"89688064\", alpha=\"0.15\", expect_size=\"44844032\"] \n  5 -> 15 [size =\"44844032\"]\n  5 -> 17 [size =\"44844032\"]\n  5 -> 21 [size =\"44844032\"]\n  5 -> 22 [size =\"44844032\"]\n  5 -> 24 [size =\"44844032\"]\n  5 -> 25 [size =\"44844032\"]\n  6 [size=\"74381312\", alpha=\"0.02\", expect_size=\"37190656\"] \n  6 -> 15 [size =\"37190656\"]\n  6 -> 17 [size =\"37190656\"]\n  6 -> 18 [size =\"37190656\"]\n  6 -> 22 [size =\"37190656\"]\n  7 [size=\"98316288\", alpha=\"0.01\", expect_size=\"49158144\"] \n  7 -> 17 [size =\"49158144\"]\n  7 -> 18 [size =\"49158144\"]\n  7 -> 18 [size =\"49158144\"]\n  7 -> 22 [size =\"49158144\"]\n  8 [size=\"96604160\", alpha=\"0.18\", expect_size=\"48302080\"] \n  8 -> 23 [size =\"48302080\"]\n  9 [size=\"92221440\", alpha=\"0.05\", expect_size=\"46110720\"] \n  9 -> 19 [size =\"46110720\"]\n  10 [size=\"71182336\", alpha=\"0.00\", expect_size=\"35591168\"] \n  10 -> 16 [size =\"35591168\"]\n  10 -> 17 [size =\"35591168\"]\n  10 -> 18 [size =\"35591168\"]\n  10 -> 19 [size =\"35591168\"]\n  10 -> 25 [size =\"35591168\"]\n  11 [size=\"35700736\", alpha=\"0.13\", expect_size=\"17850368\"] \n  11 -> 19 [size =\"17850368\"]\n  12 [size=\"44400640\", alpha=\"0.07\", expect_size=\"22200320\"] \n  12 -> 15 [size =\"22200320\"]\n  12 -> 17 [size =\"22200320\"]\n  12 -> 22 [size =\"22200320\"]\n  12 -> 25 [size =\"22200320\"]\n  13 [size=\"25092096\", alpha=\"0.03\", expect_size=\"12546048\"] \n  13 -> 17 [size =\"12546048\"]\n  13 -> 18 [size =\"12546048\"]\n  13 -> 22 [size =\"12546048\"]\n  13 -> 25 [size =\"12546048\"]\n  14 [size=\"57985024\", alpha=\"0.10\", expect_size=\"28992512\"] \n  14 -> 18 [size =\"28992512\"]\n  14 -> 19 [size =\"28992512\"]\n  14 -> 21 [size =\"28992512\"]\n  14 -> 22 [size =\"28992512\"]\n  14 -> 25 [size =\"28992512\"]\n  15 [size=\"22429696\", alpha=\"0.13\", expect_size=\"11214848\"] \n  15 -> 29 [size =\"11214848\"]\n  15 -> 32 [size =\"11214848\"]\n  15 -> 33 [size =\"11214848\"]\n  15 -> 38 [size =\"11214848\"]\n  15 -> 39 [size =\"11214848\"]\n  16 [size=\"95457280\", alpha=\"0.10\", expect_size=\"47728640\"] \n  16 -> 33 [size =\"47728640\"]\n  16 -> 36 [size =\"47728640\"]\n  16 -> 38 [size =\"47728640\"]\n  16 -> 40 [size =\"47728640\"]\n  17 [size=\"104290304\", alpha=\"0.04\", expect_size=\"52145152\"] \n  17 -> 28 [size =\"52145152\"]\n  17 -> 33 [size =\"52145152\"]\n  18 [size=\"16898048\", alpha=\"0.09\", expect_size=\"8449024\"] \n  18 -> 28 [size =\"8449024\"]\n  18 -> 31 [size =\"8449024\"]\n  18 -> 39 [size =\"8449024\"]\n  19 [size=\"103729152\", alpha=\"0.01\", expect_size=\"51864576\"] \n  19 -> 28 [size =\"51864576\"]\n  19 -> 33 [size =\"51864576\"]\n  19 -> 35 [size =\"51864576\"]\n  19 -> 40 [size =\"51864576\"]\n  20 [size=\"31209472\", alpha=\"0.12\", expect_size=\"15604736\"] \n  20 -> 28 [size =\"15604736\"]\n  20 -> 32 [size =\"15604736\"]\n  20 -> 35 [size =\"15604736\"]\n  20 -> 36 [size =\"15604736\"]\n  21 [size=\"32661504\", alpha=\"0.00\", expect_size=\"16330752\"] \n  21 -> 29 [size =\"16330752\"]\n  21 -> 32 [size =\"16330752\"]\n  21 -> 36 [size =\"16330752\"]\n  21 -> 38 [size =\"16330752\"]\n  21 -> 39 [size =\"16330752\"]\n  22 [size=\"91897856\", alpha=\"0.12\", expect_size=\"45948928\"] \n  22 -> 29 [size =\"45948928\"]\n  22 -> 30 [size =\"45948928\"]\n  22 -> 32 [size =\"45948928\"]\n  22 -> 36 [size =\"45948928\"]\n  23 [size=\"32622592\", alpha=\"0.19\", expect_size=\"16311296\"] \n  23 -> 30 [size =\"16311296\"]\n  23 -> 33 [size =\"16311296\"]\n  23 -> 35 [size =\"16311296\"]\n  23 -> 36 [size =\"16311296\"]\n  24 [size=\"44963840\", alpha=\"0.18\", expect_size=\"22481920\"] \n  24 -> 28 [size =\"22481920\"]\n  24 -> 29 [size =\"22481920\"]\n  24 -> 30 [size =\"22481920\"]\n  24 -> 32 [size =\"22481920\"]\n  24 -> 33 [size =\"22481920\"]\n  24 -> 34 [size =\"22481920\"]\n  24 -> 36 [size =\"22481920\"]\n  24 -> 39 [size =\"22481920\"]\n  25 [size=\"91881472\", alpha=\"0.14\", expect_size=\"45940736\"] \n  25 -> 29 [size =\"45940736\"]\n  25 -> 31 [size =\"45940736\"]\n  25 -> 33 [size =\"45940736\"]\n  25 -> 35 [size =\"45940736\"]\n  25 -> 36 [size =\"45940736\"]\n  25 -> 40 [size =\"45940736\"]\n  26 [size=\"58634240\", alpha=\"0.04\", expect_size=\"29317120\"] \n  26 -> 29 [size =\"29317120\"]\n  26 -> 31 [size =\"29317120\"]\n  26 -> 33 [size =\"29317120\"]\n  26 -> 34 [size =\"29317120\"]\n  26 -> 36 [size =\"29317120\"]\n  26 -> 37 [size =\"29317120\"]\n  27 [size=\"11530240\", alpha=\"0.12\", expect_size=\"5765120\"] \n  27 -> 29 [size =\"5765120\"]\n  27 -> 35 [size =\"5765120\"]\n  28 [size=\"28848128\", alpha=\"0.19\", expect_size=\"14424064\"] \n  29 [size=\"71190528\", alpha=\"0.03\", expect_size=\"35595264\"] \n  30 [size=\"73748480\", alpha=\"0.19\", expect_size=\"36874240\"] \n  31 [size=\"33865728\", alpha=\"0.01\", expect_size=\"16932864\"] \n  32 [size=\"34076672\", alpha=\"0.11\", expect_size=\"17038336\"] \n  33 [size=\"90327040\", alpha=\"0.03\", expect_size=\"45163520\"] \n  34 [size=\"85282816\", alpha=\"0.05\", expect_size=\"42641408\"] \n  35 [size=\"77039616\", alpha=\"0.10\", expect_size=\"38519808\"] \n  36 [size=\"50425856\", alpha=\"0.13\", expect_size=\"25212928\"] \n  37 [size=\"69341184\", alpha=\"0.16\", expect_size=\"34670592\"] \n  38 [size=\"32872448\", alpha=\"0.00\", expect_size=\"16436224\"] \n  39 [size=\"27138048\", alpha=\"0.04\", expect_size=\"13569024\"] \n  40 [size=\"39505920\", alpha=\"0.12\", expect_size=\"19752960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16325120\", alpha=\"0.08\", expect_size=\"6530048\"] \n  1 -> 32 [size =\"6530048\"]\n  1 -> 35 [size =\"6530048\"]\n  1 -> 37 [size =\"6530048\"]\n  1 -> 39 [size =\"6530048\"]\n  2 [size=\"101480960\", alpha=\"0.12\", expect_size=\"40592384\"] \n  2 -> 30 [size =\"40592384\"]\n  2 -> 31 [size =\"40592384\"]\n  2 -> 33 [size =\"40592384\"]\n  2 -> 34 [size =\"40592384\"]\n  2 -> 35 [size =\"40592384\"]\n  2 -> 37 [size =\"40592384\"]\n  2 -> 39 [size =\"40592384\"]\n  3 [size=\"96320000\", alpha=\"0.06\", expect_size=\"38528000\"] \n  3 -> 31 [size =\"38528000\"]\n  3 -> 34 [size =\"38528000\"]\n  3 -> 35 [size =\"38528000\"]\n  4 [size=\"110620160\", alpha=\"0.00\", expect_size=\"44248064\"] \n  4 -> 28 [size =\"44248064\"]\n  4 -> 29 [size =\"44248064\"]\n  4 -> 33 [size =\"44248064\"]\n  4 -> 34 [size =\"44248064\"]\n  4 -> 37 [size =\"44248064\"]\n  4 -> 38 [size =\"44248064\"]\n  5 [size=\"23623680\", alpha=\"0.04\", expect_size=\"9449472\"] \n  5 -> 33 [size =\"9449472\"]\n  6 [size=\"78714880\", alpha=\"0.17\", expect_size=\"31485952\"] \n  6 -> 28 [size =\"31485952\"]\n  6 -> 33 [size =\"31485952\"]\n  6 -> 35 [size =\"31485952\"]\n  6 -> 36 [size =\"31485952\"]\n  6 -> 37 [size =\"31485952\"]\n  6 -> 39 [size =\"31485952\"]\n  7 [size=\"48307200\", alpha=\"0.16\", expect_size=\"19322880\"] \n  7 -> 29 [size =\"19322880\"]\n  7 -> 31 [size =\"19322880\"]\n  7 -> 32 [size =\"19322880\"]\n  7 -> 36 [size =\"19322880\"]\n  7 -> 37 [size =\"19322880\"]\n  8 [size=\"33502720\", alpha=\"0.04\", expect_size=\"13401088\"] \n  8 -> 29 [size =\"13401088\"]\n  8 -> 31 [size =\"13401088\"]\n  8 -> 33 [size =\"13401088\"]\n  8 -> 35 [size =\"13401088\"]\n  8 -> 36 [size =\"13401088\"]\n  9 [size=\"16934400\", alpha=\"0.07\", expect_size=\"6773760\"] \n  9 -> 29 [size =\"6773760\"]\n  9 -> 31 [size =\"6773760\"]\n  9 -> 33 [size =\"6773760\"]\n  9 -> 38 [size =\"6773760\"]\n  9 -> 39 [size =\"6773760\"]\n  10 [size=\"90145280\", alpha=\"0.18\", expect_size=\"36058112\"] \n  10 -> 28 [size =\"36058112\"]\n  10 -> 31 [size =\"36058112\"]\n  10 -> 35 [size =\"36058112\"]\n  10 -> 37 [size =\"36058112\"]\n  11 [size=\"33459200\", alpha=\"0.04\", expect_size=\"13383680\"] \n  11 -> 28 [size =\"13383680\"]\n  11 -> 29 [size =\"13383680\"]\n  11 -> 31 [size =\"13383680\"]\n  11 -> 32 [size =\"13383680\"]\n  11 -> 33 [size =\"13383680\"]\n  11 -> 34 [size =\"13383680\"]\n  11 -> 36 [size =\"13383680\"]\n  11 -> 39 [size =\"13383680\"]\n  12 [size=\"81838080\", alpha=\"0.19\", expect_size=\"32735232\"] \n  12 -> 28 [size =\"32735232\"]\n  12 -> 31 [size =\"32735232\"]\n  12 -> 33 [size =\"32735232\"]\n  12 -> 34 [size =\"32735232\"]\n  12 -> 35 [size =\"32735232\"]\n  12 -> 40 [size =\"32735232\"]\n  13 [size=\"37498880\", alpha=\"0.19\", expect_size=\"14999552\"] \n  13 -> 34 [size =\"14999552\"]\n  13 -> 39 [size =\"14999552\"]\n  14 [size=\"70666240\", alpha=\"0.05\", expect_size=\"28266496\"] \n  14 -> 29 [size =\"28266496\"]\n  14 -> 34 [size =\"28266496\"]\n  14 -> 36 [size =\"28266496\"]\n  15 [size=\"72363520\", alpha=\"0.20\", expect_size=\"28945408\"] \n  15 -> 28 [size =\"28945408\"]\n  15 -> 32 [size =\"28945408\"]\n  15 -> 33 [size =\"28945408\"]\n  15 -> 34 [size =\"28945408\"]\n  15 -> 36 [size =\"28945408\"]\n  15 -> 38 [size =\"28945408\"]\n  16 [size=\"94374400\", alpha=\"0.05\", expect_size=\"37749760\"] \n  16 -> 28 [size =\"37749760\"]\n  16 -> 32 [size =\"37749760\"]\n  16 -> 33 [size =\"37749760\"]\n  16 -> 34 [size =\"37749760\"]\n  16 -> 35 [size =\"37749760\"]\n  16 -> 36 [size =\"37749760\"]\n  16 -> 37 [size =\"37749760\"]\n  17 [size=\"74104320\", alpha=\"0.11\", expect_size=\"29641728\"] \n  17 -> 28 [size =\"29641728\"]\n  17 -> 31 [size =\"29641728\"]\n  17 -> 33 [size =\"29641728\"]\n  17 -> 34 [size =\"29641728\"]\n  17 -> 36 [size =\"29641728\"]\n  17 -> 36 [size =\"29641728\"]\n  18 [size=\"47971840\", alpha=\"0.03\", expect_size=\"19188736\"] \n  18 -> 28 [size =\"19188736\"]\n  18 -> 31 [size =\"19188736\"]\n  18 -> 34 [size =\"19188736\"]\n  18 -> 35 [size =\"19188736\"]\n  18 -> 39 [size =\"19188736\"]\n  19 [size=\"70131200\", alpha=\"0.01\", expect_size=\"28052480\"] \n  19 -> 31 [size =\"28052480\"]\n  20 [size=\"109962240\", alpha=\"0.01\", expect_size=\"43984896\"] \n  20 -> 28 [size =\"43984896\"]\n  20 -> 31 [size =\"43984896\"]\n  20 -> 33 [size =\"43984896\"]\n  20 -> 35 [size =\"43984896\"]\n  20 -> 38 [size =\"43984896\"]\n  20 -> 39 [size =\"43984896\"]\n  21 [size=\"95889920\", alpha=\"0.01\", expect_size=\"38355968\"] \n  21 -> 28 [size =\"38355968\"]\n  21 -> 29 [size =\"38355968\"]\n  21 -> 31 [size =\"38355968\"]\n  21 -> 32 [size =\"38355968\"]\n  21 -> 33 [size =\"38355968\"]\n  21 -> 35 [size =\"38355968\"]\n  21 -> 39 [size =\"38355968\"]\n  22 [size=\"120762880\", alpha=\"0.16\", expect_size=\"48305152\"] \n  22 -> 28 [size =\"48305152\"]\n  22 -> 31 [size =\"48305152\"]\n  22 -> 31 [size =\"48305152\"]\n  22 -> 33 [size =\"48305152\"]\n  22 -> 34 [size =\"48305152\"]\n  22 -> 35 [size =\"48305152\"]\n  22 -> 36 [size =\"48305152\"]\n  22 -> 38 [size =\"48305152\"]\n  22 -> 39 [size =\"48305152\"]\n  23 [size=\"115706880\", alpha=\"0.05\", expect_size=\"46282752\"] \n  23 -> 31 [size =\"46282752\"]\n  23 -> 33 [size =\"46282752\"]\n  23 -> 34 [size =\"46282752\"]\n  23 -> 39 [size =\"46282752\"]\n  24 [size=\"111096320\", alpha=\"0.10\", expect_size=\"44438528\"] \n  25 [size=\"25226240\", alpha=\"0.17\", expect_size=\"10090496\"] \n  25 -> 28 [size =\"10090496\"]\n  25 -> 33 [size =\"10090496\"]\n  25 -> 36 [size =\"10090496\"]\n  25 -> 39 [size =\"10090496\"]\n  26 [size=\"22894080\", alpha=\"0.16\", expect_size=\"9157632\"] \n  26 -> 36 [size =\"9157632\"]\n  26 -> 38 [size =\"9157632\"]\n  26 -> 39 [size =\"9157632\"]\n  27 [size=\"49446400\", alpha=\"0.00\", expect_size=\"19778560\"] \n  27 -> 28 [size =\"19778560\"]\n  27 -> 31 [size =\"19778560\"]\n  27 -> 33 [size =\"19778560\"]\n  27 -> 35 [size =\"19778560\"]\n  27 -> 37 [size =\"19778560\"]\n  27 -> 38 [size =\"19778560\"]\n  27 -> 39 [size =\"19778560\"]\n  28 [size=\"114836480\", alpha=\"0.08\", expect_size=\"45934592\"] \n  29 [size=\"13245440\", alpha=\"0.16\", expect_size=\"5298176\"] \n  30 [size=\"21655040\", alpha=\"0.18\", expect_size=\"8662016\"] \n  31 [size=\"26204160\", alpha=\"0.03\", expect_size=\"10481664\"] \n  32 [size=\"30105600\", alpha=\"0.20\", expect_size=\"12042240\"] \n  33 [size=\"121738240\", alpha=\"0.01\", expect_size=\"48695296\"] \n  34 [size=\"30417920\", alpha=\"0.11\", expect_size=\"12167168\"] \n  35 [size=\"89587200\", alpha=\"0.12\", expect_size=\"35834880\"] \n  36 [size=\"73838080\", alpha=\"0.06\", expect_size=\"29535232\"] \n  37 [size=\"48780800\", alpha=\"0.11\", expect_size=\"19512320\"] \n  38 [size=\"49615360\", alpha=\"0.01\", expect_size=\"19846144\"] \n  39 [size=\"96737280\", alpha=\"0.02\", expect_size=\"38694912\"] \n  40 [size=\"76008960\", alpha=\"0.18\", expect_size=\"30403584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68239360\", alpha=\"0.03\", expect_size=\"34119680\"] \n  1 -> 25 [size =\"34119680\"]\n  2 [size=\"28610560\", alpha=\"0.19\", expect_size=\"14305280\"] \n  2 -> 18 [size =\"14305280\"]\n  2 -> 23 [size =\"14305280\"]\n  2 -> 26 [size =\"14305280\"]\n  3 [size=\"90185728\", alpha=\"0.20\", expect_size=\"45092864\"] \n  3 -> 19 [size =\"45092864\"]\n  3 -> 23 [size =\"45092864\"]\n  3 -> 25 [size =\"45092864\"]\n  4 [size=\"50018304\", alpha=\"0.01\", expect_size=\"25009152\"] \n  4 -> 13 [size =\"25009152\"]\n  4 -> 14 [size =\"25009152\"]\n  4 -> 20 [size =\"25009152\"]\n  4 -> 21 [size =\"25009152\"]\n  4 -> 22 [size =\"25009152\"]\n  4 -> 26 [size =\"25009152\"]\n  5 [size=\"62361600\", alpha=\"0.12\", expect_size=\"31180800\"] \n  5 -> 13 [size =\"31180800\"]\n  5 -> 14 [size =\"31180800\"]\n  5 -> 15 [size =\"31180800\"]\n  5 -> 19 [size =\"31180800\"]\n  5 -> 22 [size =\"31180800\"]\n  6 [size=\"59701248\", alpha=\"0.12\", expect_size=\"29850624\"] \n  6 -> 13 [size =\"29850624\"]\n  6 -> 17 [size =\"29850624\"]\n  6 -> 23 [size =\"29850624\"]\n  7 [size=\"62468096\", alpha=\"0.03\", expect_size=\"31234048\"] \n  7 -> 13 [size =\"31234048\"]\n  7 -> 17 [size =\"31234048\"]\n  7 -> 20 [size =\"31234048\"]\n  8 [size=\"11292672\", alpha=\"0.08\", expect_size=\"5646336\"] \n  8 -> 15 [size =\"5646336\"]\n  8 -> 16 [size =\"5646336\"]\n  8 -> 17 [size =\"5646336\"]\n  8 -> 23 [size =\"5646336\"]\n  8 -> 24 [size =\"5646336\"]\n  8 -> 25 [size =\"5646336\"]\n  9 [size=\"31373312\", alpha=\"0.08\", expect_size=\"15686656\"] \n  9 -> 19 [size =\"15686656\"]\n  9 -> 22 [size =\"15686656\"]\n  9 -> 23 [size =\"15686656\"]\n  10 [size=\"51959808\", alpha=\"0.02\", expect_size=\"25979904\"] \n  10 -> 17 [size =\"25979904\"]\n  10 -> 18 [size =\"25979904\"]\n  10 -> 25 [size =\"25979904\"]\n  11 [size=\"27355136\", alpha=\"0.15\", expect_size=\"13677568\"] \n  11 -> 14 [size =\"13677568\"]\n  11 -> 19 [size =\"13677568\"]\n  11 -> 22 [size =\"13677568\"]\n  11 -> 25 [size =\"13677568\"]\n  11 -> 26 [size =\"13677568\"]\n  12 [size=\"40015872\", alpha=\"0.01\", expect_size=\"20007936\"] \n  12 -> 26 [size =\"20007936\"]\n  13 [size=\"33351680\", alpha=\"0.17\", expect_size=\"16675840\"] \n  13 -> 36 [size =\"16675840\"]\n  13 -> 37 [size =\"16675840\"]\n  14 [size=\"31150080\", alpha=\"0.12\", expect_size=\"15575040\"] \n  14 -> 32 [size =\"15575040\"]\n  14 -> 33 [size =\"15575040\"]\n  14 -> 35 [size =\"15575040\"]\n  14 -> 36 [size =\"15575040\"]\n  15 [size=\"36669440\", alpha=\"0.00\", expect_size=\"18334720\"] \n  15 -> 32 [size =\"18334720\"]\n  15 -> 34 [size =\"18334720\"]\n  15 -> 36 [size =\"18334720\"]\n  16 [size=\"94871552\", alpha=\"0.20\", expect_size=\"47435776\"] \n  16 -> 32 [size =\"47435776\"]\n  16 -> 36 [size =\"47435776\"]\n  16 -> 37 [size =\"47435776\"]\n  17 [size=\"56369152\", alpha=\"0.02\", expect_size=\"28184576\"] \n  17 -> 34 [size =\"28184576\"]\n  17 -> 36 [size =\"28184576\"]\n  18 [size=\"71690240\", alpha=\"0.04\", expect_size=\"35845120\"] \n  18 -> 28 [size =\"35845120\"]\n  18 -> 30 [size =\"35845120\"]\n  19 [size=\"12931072\", alpha=\"0.18\", expect_size=\"6465536\"] \n  19 -> 33 [size =\"6465536\"]\n  19 -> 34 [size =\"6465536\"]\n  19 -> 36 [size =\"6465536\"]\n  19 -> 37 [size =\"6465536\"]\n  19 -> 39 [size =\"6465536\"]\n  19 -> 40 [size =\"6465536\"]\n  20 [size=\"52133888\", alpha=\"0.02\", expect_size=\"26066944\"] \n  20 -> 29 [size =\"26066944\"]\n  20 -> 30 [size =\"26066944\"]\n  20 -> 32 [size =\"26066944\"]\n  20 -> 33 [size =\"26066944\"]\n  20 -> 34 [size =\"26066944\"]\n  20 -> 38 [size =\"26066944\"]\n  20 -> 40 [size =\"26066944\"]\n  21 [size=\"60483584\", alpha=\"0.18\", expect_size=\"30241792\"] \n  21 -> 35 [size =\"30241792\"]\n  21 -> 39 [size =\"30241792\"]\n  21 -> 40 [size =\"30241792\"]\n  22 [size=\"35588096\", alpha=\"0.18\", expect_size=\"17794048\"] \n  22 -> 29 [size =\"17794048\"]\n  22 -> 34 [size =\"17794048\"]\n  22 -> 40 [size =\"17794048\"]\n  23 [size=\"39575552\", alpha=\"0.15\", expect_size=\"19787776\"] \n  23 -> 28 [size =\"19787776\"]\n  23 -> 32 [size =\"19787776\"]\n  23 -> 36 [size =\"19787776\"]\n  24 [size=\"26691584\", alpha=\"0.20\", expect_size=\"13345792\"] \n  24 -> 29 [size =\"13345792\"]\n  24 -> 30 [size =\"13345792\"]\n  24 -> 31 [size =\"13345792\"]\n  24 -> 32 [size =\"13345792\"]\n  24 -> 33 [size =\"13345792\"]\n  24 -> 34 [size =\"13345792\"]\n  24 -> 37 [size =\"13345792\"]\n  25 [size=\"82139136\", alpha=\"0.16\", expect_size=\"41069568\"] \n  25 -> 27 [size =\"41069568\"]\n  25 -> 28 [size =\"41069568\"]\n  26 [size=\"82491392\", alpha=\"0.03\", expect_size=\"41245696\"] \n  26 -> 28 [size =\"41245696\"]\n  26 -> 30 [size =\"41245696\"]\n  26 -> 31 [size =\"41245696\"]\n  26 -> 32 [size =\"41245696\"]\n  26 -> 34 [size =\"41245696\"]\n  26 -> 38 [size =\"41245696\"]\n  26 -> 40 [size =\"41245696\"]\n  27 [size=\"80893952\", alpha=\"0.00\", expect_size=\"40446976\"] \n  28 [size=\"88201216\", alpha=\"0.18\", expect_size=\"44100608\"] \n  29 [size=\"11577344\", alpha=\"0.00\", expect_size=\"5788672\"] \n  30 [size=\"96751616\", alpha=\"0.11\", expect_size=\"48375808\"] \n  31 [size=\"11321344\", alpha=\"0.06\", expect_size=\"5660672\"] \n  32 [size=\"96157696\", alpha=\"0.07\", expect_size=\"48078848\"] \n  33 [size=\"86274048\", alpha=\"0.13\", expect_size=\"43137024\"] \n  34 [size=\"61370368\", alpha=\"0.03\", expect_size=\"30685184\"] \n  35 [size=\"60979200\", alpha=\"0.18\", expect_size=\"30489600\"] \n  36 [size=\"42606592\", alpha=\"0.12\", expect_size=\"21303296\"] \n  37 [size=\"55468032\", alpha=\"0.15\", expect_size=\"27734016\"] \n  38 [size=\"57176064\", alpha=\"0.11\", expect_size=\"28588032\"] \n  39 [size=\"48537600\", alpha=\"0.08\", expect_size=\"24268800\"] \n  40 [size=\"50442240\", alpha=\"0.14\", expect_size=\"25221120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166601387\", alpha=\"0.05\", expect_size=\"49980416\"] \n  1 -> 12 [size =\"49980416\"]\n  1 -> 15 [size =\"49980416\"]\n  1 -> 17 [size =\"49980416\"]\n  1 -> 17 [size =\"49980416\"]\n  1 -> 20 [size =\"49980416\"]\n  1 -> 21 [size =\"49980416\"]\n  1 -> 22 [size =\"49980416\"]\n  2 [size=\"47213227\", alpha=\"0.02\", expect_size=\"14163968\"] \n  2 -> 13 [size =\"14163968\"]\n  2 -> 15 [size =\"14163968\"]\n  2 -> 16 [size =\"14163968\"]\n  2 -> 17 [size =\"14163968\"]\n  2 -> 20 [size =\"14163968\"]\n  2 -> 21 [size =\"14163968\"]\n  2 -> 23 [size =\"14163968\"]\n  3 [size=\"150715733\", alpha=\"0.02\", expect_size=\"45214720\"] \n  3 -> 13 [size =\"45214720\"]\n  3 -> 15 [size =\"45214720\"]\n  3 -> 16 [size =\"45214720\"]\n  3 -> 18 [size =\"45214720\"]\n  3 -> 20 [size =\"45214720\"]\n  3 -> 22 [size =\"45214720\"]\n  4 [size=\"76683947\", alpha=\"0.08\", expect_size=\"23005184\"] \n  4 -> 12 [size =\"23005184\"]\n  4 -> 13 [size =\"23005184\"]\n  4 -> 14 [size =\"23005184\"]\n  4 -> 16 [size =\"23005184\"]\n  4 -> 18 [size =\"23005184\"]\n  4 -> 20 [size =\"23005184\"]\n  4 -> 21 [size =\"23005184\"]\n  5 [size=\"89422507\", alpha=\"0.12\", expect_size=\"26826752\"] \n  5 -> 15 [size =\"26826752\"]\n  5 -> 16 [size =\"26826752\"]\n  5 -> 18 [size =\"26826752\"]\n  5 -> 20 [size =\"26826752\"]\n  5 -> 23 [size =\"26826752\"]\n  6 [size=\"168564053\", alpha=\"0.19\", expect_size=\"50569216\"] \n  6 -> 12 [size =\"50569216\"]\n  6 -> 13 [size =\"50569216\"]\n  6 -> 14 [size =\"50569216\"]\n  6 -> 15 [size =\"50569216\"]\n  6 -> 16 [size =\"50569216\"]\n  6 -> 17 [size =\"50569216\"]\n  6 -> 19 [size =\"50569216\"]\n  6 -> 21 [size =\"50569216\"]\n  7 [size=\"48568320\", alpha=\"0.04\", expect_size=\"14570496\"] \n  7 -> 12 [size =\"14570496\"]\n  7 -> 13 [size =\"14570496\"]\n  7 -> 14 [size =\"14570496\"]\n  7 -> 17 [size =\"14570496\"]\n  8 [size=\"102785707\", alpha=\"0.06\", expect_size=\"30835712\"] \n  8 -> 13 [size =\"30835712\"]\n  8 -> 14 [size =\"30835712\"]\n  8 -> 16 [size =\"30835712\"]\n  8 -> 17 [size =\"30835712\"]\n  8 -> 21 [size =\"30835712\"]\n  8 -> 23 [size =\"30835712\"]\n  9 [size=\"172335787\", alpha=\"0.06\", expect_size=\"51700736\"] \n  9 -> 15 [size =\"51700736\"]\n  9 -> 17 [size =\"51700736\"]\n  9 -> 22 [size =\"51700736\"]\n  10 [size=\"23111680\", alpha=\"0.08\", expect_size=\"6933504\"] \n  10 -> 12 [size =\"6933504\"]\n  10 -> 13 [size =\"6933504\"]\n  10 -> 15 [size =\"6933504\"]\n  10 -> 16 [size =\"6933504\"]\n  10 -> 17 [size =\"6933504\"]\n  10 -> 18 [size =\"6933504\"]\n  10 -> 19 [size =\"6933504\"]\n  10 -> 23 [size =\"6933504\"]\n  11 [size=\"112817493\", alpha=\"0.04\", expect_size=\"33845248\"] \n  11 -> 12 [size =\"33845248\"]\n  11 -> 14 [size =\"33845248\"]\n  11 -> 16 [size =\"33845248\"]\n  11 -> 17 [size =\"33845248\"]\n  11 -> 17 [size =\"33845248\"]\n  11 -> 18 [size =\"33845248\"]\n  11 -> 19 [size =\"33845248\"]\n  11 -> 21 [size =\"33845248\"]\n  11 -> 23 [size =\"33845248\"]\n  12 [size=\"155712853\", alpha=\"0.11\", expect_size=\"46713856\"] \n  12 -> 24 [size =\"46713856\"]\n  12 -> 25 [size =\"46713856\"]\n  12 -> 26 [size =\"46713856\"]\n  12 -> 27 [size =\"46713856\"]\n  12 -> 29 [size =\"46713856\"]\n  12 -> 31 [size =\"46713856\"]\n  12 -> 32 [size =\"46713856\"]\n  12 -> 33 [size =\"46713856\"]\n  13 [size=\"170758827\", alpha=\"0.10\", expect_size=\"51227648\"] \n  13 -> 24 [size =\"51227648\"]\n  13 -> 27 [size =\"51227648\"]\n  13 -> 28 [size =\"51227648\"]\n  13 -> 29 [size =\"51227648\"]\n  13 -> 31 [size =\"51227648\"]\n  13 -> 32 [size =\"51227648\"]\n  13 -> 32 [size =\"51227648\"]\n  13 -> 33 [size =\"51227648\"]\n  14 [size=\"32252587\", alpha=\"0.01\", expect_size=\"9675776\"] \n  14 -> 26 [size =\"9675776\"]\n  14 -> 27 [size =\"9675776\"]\n  14 -> 28 [size =\"9675776\"]\n  14 -> 29 [size =\"9675776\"]\n  14 -> 32 [size =\"9675776\"]\n  14 -> 33 [size =\"9675776\"]\n  15 [size=\"99020800\", alpha=\"0.19\", expect_size=\"29706240\"] \n  15 -> 24 [size =\"29706240\"]\n  15 -> 26 [size =\"29706240\"]\n  15 -> 27 [size =\"29706240\"]\n  15 -> 31 [size =\"29706240\"]\n  15 -> 33 [size =\"29706240\"]\n  15 -> 33 [size =\"29706240\"]\n  16 [size=\"35539627\", alpha=\"0.15\", expect_size=\"10661888\"] \n  16 -> 24 [size =\"10661888\"]\n  16 -> 25 [size =\"10661888\"]\n  16 -> 27 [size =\"10661888\"]\n  16 -> 29 [size =\"10661888\"]\n  16 -> 30 [size =\"10661888\"]\n  16 -> 31 [size =\"10661888\"]\n  16 -> 33 [size =\"10661888\"]\n  17 [size=\"28924587\", alpha=\"0.01\", expect_size=\"8677376\"] \n  17 -> 24 [size =\"8677376\"]\n  17 -> 26 [size =\"8677376\"]\n  17 -> 27 [size =\"8677376\"]\n  17 -> 29 [size =\"8677376\"]\n  17 -> 31 [size =\"8677376\"]\n  17 -> 32 [size =\"8677376\"]\n  17 -> 33 [size =\"8677376\"]\n  18 [size=\"58927787\", alpha=\"0.01\", expect_size=\"17678336\"] \n  18 -> 24 [size =\"17678336\"]\n  18 -> 25 [size =\"17678336\"]\n  18 -> 28 [size =\"17678336\"]\n  18 -> 29 [size =\"17678336\"]\n  18 -> 31 [size =\"17678336\"]\n  18 -> 33 [size =\"17678336\"]\n  18 -> 33 [size =\"17678336\"]\n  19 [size=\"106123947\", alpha=\"0.08\", expect_size=\"31837184\"] \n  19 -> 24 [size =\"31837184\"]\n  19 -> 25 [size =\"31837184\"]\n  19 -> 29 [size =\"31837184\"]\n  19 -> 31 [size =\"31837184\"]\n  19 -> 32 [size =\"31837184\"]\n  19 -> 33 [size =\"31837184\"]\n  19 -> 35 [size =\"31837184\"]\n  20 [size=\"149896533\", alpha=\"0.03\", expect_size=\"44968960\"] \n  20 -> 24 [size =\"44968960\"]\n  20 -> 26 [size =\"44968960\"]\n  20 -> 27 [size =\"44968960\"]\n  20 -> 31 [size =\"44968960\"]\n  20 -> 32 [size =\"44968960\"]\n  20 -> 34 [size =\"44968960\"]\n  20 -> 35 [size =\"44968960\"]\n  21 [size=\"59255467\", alpha=\"0.17\", expect_size=\"17776640\"] \n  21 -> 24 [size =\"17776640\"]\n  21 -> 26 [size =\"17776640\"]\n  21 -> 27 [size =\"17776640\"]\n  21 -> 29 [size =\"17776640\"]\n  21 -> 30 [size =\"17776640\"]\n  21 -> 31 [size =\"17776640\"]\n  21 -> 32 [size =\"17776640\"]\n  21 -> 35 [size =\"17776640\"]\n  22 [size=\"93576533\", alpha=\"0.15\", expect_size=\"28072960\"] \n  22 -> 27 [size =\"28072960\"]\n  22 -> 29 [size =\"28072960\"]\n  22 -> 31 [size =\"28072960\"]\n  22 -> 32 [size =\"28072960\"]\n  23 [size=\"24620373\", alpha=\"0.10\", expect_size=\"7386112\"] \n  23 -> 24 [size =\"7386112\"]\n  23 -> 27 [size =\"7386112\"]\n  23 -> 28 [size =\"7386112\"]\n  23 -> 29 [size =\"7386112\"]\n  23 -> 31 [size =\"7386112\"]\n  23 -> 32 [size =\"7386112\"]\n  23 -> 33 [size =\"7386112\"]\n  23 -> 34 [size =\"7386112\"]\n  24 [size=\"106574507\", alpha=\"0.12\", expect_size=\"31972352\"] \n  24 -> 36 [size =\"31972352\"]\n  24 -> 37 [size =\"31972352\"]\n  24 -> 38 [size =\"31972352\"]\n  24 -> 40 [size =\"31972352\"]\n  25 [size=\"114592427\", alpha=\"0.04\", expect_size=\"34377728\"] \n  25 -> 36 [size =\"34377728\"]\n  25 -> 37 [size =\"34377728\"]\n  26 [size=\"107762347\", alpha=\"0.15\", expect_size=\"32328704\"] \n  26 -> 36 [size =\"32328704\"]\n  26 -> 37 [size =\"32328704\"]\n  26 -> 40 [size =\"32328704\"]\n  27 [size=\"70174720\", alpha=\"0.09\", expect_size=\"21052416\"] \n  27 -> 36 [size =\"21052416\"]\n  27 -> 37 [size =\"21052416\"]\n  27 -> 40 [size =\"21052416\"]\n  28 [size=\"75093333\", alpha=\"0.15\", expect_size=\"22528000\"] \n  28 -> 37 [size =\"22528000\"]\n  28 -> 37 [size =\"22528000\"]\n  28 -> 40 [size =\"22528000\"]\n  29 [size=\"80052907\", alpha=\"0.00\", expect_size=\"24015872\"] \n  29 -> 38 [size =\"24015872\"]\n  29 -> 40 [size =\"24015872\"]\n  30 [size=\"139960320\", alpha=\"0.06\", expect_size=\"41988096\"] \n  30 -> 37 [size =\"41988096\"]\n  30 -> 38 [size =\"41988096\"]\n  31 [size=\"162143573\", alpha=\"0.04\", expect_size=\"48643072\"] \n  31 -> 37 [size =\"48643072\"]\n  31 -> 40 [size =\"48643072\"]\n  32 [size=\"138448213\", alpha=\"0.20\", expect_size=\"41534464\"] \n  32 -> 37 [size =\"41534464\"]\n  32 -> 39 [size =\"41534464\"]\n  32 -> 40 [size =\"41534464\"]\n  33 [size=\"98614613\", alpha=\"0.15\", expect_size=\"29584384\"] \n  33 -> 37 [size =\"29584384\"]\n  33 -> 38 [size =\"29584384\"]\n  34 [size=\"18595840\", alpha=\"0.12\", expect_size=\"5578752\"] \n  34 -> 36 [size =\"5578752\"]\n  34 -> 37 [size =\"5578752\"]\n  34 -> 40 [size =\"5578752\"]\n  35 [size=\"114889387\", alpha=\"0.20\", expect_size=\"34466816\"] \n  35 -> 36 [size =\"34466816\"]\n  35 -> 40 [size =\"34466816\"]\n  36 [size=\"144865280\", alpha=\"0.09\", expect_size=\"43459584\"] \n  37 [size=\"102335147\", alpha=\"0.01\", expect_size=\"30700544\"] \n  38 [size=\"18384213\", alpha=\"0.17\", expect_size=\"5515264\"] \n  39 [size=\"135618560\", alpha=\"0.05\", expect_size=\"40685568\"] \n  40 [size=\"137031680\", alpha=\"0.09\", expect_size=\"41109504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154112000\", alpha=\"0.19\", expect_size=\"46233600\"] \n  1 -> 7 [size =\"46233600\"]\n  1 -> 8 [size =\"46233600\"]\n  1 -> 11 [size =\"46233600\"]\n  2 [size=\"156552533\", alpha=\"0.14\", expect_size=\"46965760\"] \n  2 -> 8 [size =\"46965760\"]\n  2 -> 9 [size =\"46965760\"]\n  2 -> 11 [size =\"46965760\"]\n  3 [size=\"30429867\", alpha=\"0.05\", expect_size=\"9128960\"] \n  3 -> 7 [size =\"9128960\"]\n  3 -> 8 [size =\"9128960\"]\n  3 -> 9 [size =\"9128960\"]\n  3 -> 10 [size =\"9128960\"]\n  3 -> 11 [size =\"9128960\"]\n  4 [size=\"124781227\", alpha=\"0.07\", expect_size=\"37434368\"] \n  4 -> 7 [size =\"37434368\"]\n  4 -> 8 [size =\"37434368\"]\n  4 -> 9 [size =\"37434368\"]\n  4 -> 11 [size =\"37434368\"]\n  5 [size=\"112762880\", alpha=\"0.13\", expect_size=\"33828864\"] \n  5 -> 7 [size =\"33828864\"]\n  5 -> 8 [size =\"33828864\"]\n  5 -> 9 [size =\"33828864\"]\n  5 -> 10 [size =\"33828864\"]\n  5 -> 11 [size =\"33828864\"]\n  6 [size=\"97085440\", alpha=\"0.02\", expect_size=\"29125632\"] \n  6 -> 7 [size =\"29125632\"]\n  6 -> 8 [size =\"29125632\"]\n  6 -> 9 [size =\"29125632\"]\n  6 -> 10 [size =\"29125632\"]\n  6 -> 11 [size =\"29125632\"]\n  7 [size=\"89210880\", alpha=\"0.02\", expect_size=\"26763264\"] \n  7 -> 14 [size =\"26763264\"]\n  7 -> 15 [size =\"26763264\"]\n  7 -> 16 [size =\"26763264\"]\n  8 [size=\"72560640\", alpha=\"0.05\", expect_size=\"21768192\"] \n  8 -> 15 [size =\"21768192\"]\n  9 [size=\"69990400\", alpha=\"0.02\", expect_size=\"20997120\"] \n  9 -> 15 [size =\"20997120\"]\n  9 -> 16 [size =\"20997120\"]\n  10 [size=\"46318933\", alpha=\"0.16\", expect_size=\"13895680\"] \n  10 -> 15 [size =\"13895680\"]\n  10 -> 17 [size =\"13895680\"]\n  11 [size=\"158846293\", alpha=\"0.07\", expect_size=\"47653888\"] \n  11 -> 12 [size =\"47653888\"]\n  11 -> 13 [size =\"47653888\"]\n  11 -> 15 [size =\"47653888\"]\n  11 -> 17 [size =\"47653888\"]\n  12 [size=\"148295680\", alpha=\"0.19\", expect_size=\"44488704\"] \n  12 -> 18 [size =\"44488704\"]\n  12 -> 19 [size =\"44488704\"]\n  12 -> 20 [size =\"44488704\"]\n  12 -> 22 [size =\"44488704\"]\n  13 [size=\"104751787\", alpha=\"0.09\", expect_size=\"31425536\"] \n  13 -> 20 [size =\"31425536\"]\n  13 -> 21 [size =\"31425536\"]\n  13 -> 22 [size =\"31425536\"]\n  13 -> 22 [size =\"31425536\"]\n  14 [size=\"145902933\", alpha=\"0.08\", expect_size=\"43770880\"] \n  14 -> 20 [size =\"43770880\"]\n  14 -> 23 [size =\"43770880\"]\n  15 [size=\"46523733\", alpha=\"0.00\", expect_size=\"13957120\"] \n  15 -> 23 [size =\"13957120\"]\n  15 -> 23 [size =\"13957120\"]\n  16 [size=\"152548693\", alpha=\"0.15\", expect_size=\"45764608\"] \n  16 -> 18 [size =\"45764608\"]\n  16 -> 22 [size =\"45764608\"]\n  16 -> 23 [size =\"45764608\"]\n  17 [size=\"169673387\", alpha=\"0.02\", expect_size=\"50902016\"] \n  17 -> 19 [size =\"50902016\"]\n  17 -> 21 [size =\"50902016\"]\n  17 -> 22 [size =\"50902016\"]\n  17 -> 23 [size =\"50902016\"]\n  18 [size=\"25340587\", alpha=\"0.14\", expect_size=\"7602176\"] \n  18 -> 24 [size =\"7602176\"]\n  19 [size=\"63627947\", alpha=\"0.08\", expect_size=\"19088384\"] \n  19 -> 24 [size =\"19088384\"]\n  19 -> 25 [size =\"19088384\"]\n  19 -> 27 [size =\"19088384\"]\n  19 -> 28 [size =\"19088384\"]\n  20 [size=\"79394133\", alpha=\"0.05\", expect_size=\"23818240\"] \n  20 -> 24 [size =\"23818240\"]\n  20 -> 27 [size =\"23818240\"]\n  21 [size=\"44646400\", alpha=\"0.19\", expect_size=\"13393920\"] \n  21 -> 24 [size =\"13393920\"]\n  21 -> 27 [size =\"13393920\"]\n  21 -> 28 [size =\"13393920\"]\n  22 [size=\"99024213\", alpha=\"0.12\", expect_size=\"29707264\"] \n  22 -> 24 [size =\"29707264\"]\n  22 -> 25 [size =\"29707264\"]\n  22 -> 26 [size =\"29707264\"]\n  22 -> 27 [size =\"29707264\"]\n  23 [size=\"91849387\", alpha=\"0.05\", expect_size=\"27554816\"] \n  23 -> 24 [size =\"27554816\"]\n  23 -> 26 [size =\"27554816\"]\n  23 -> 27 [size =\"27554816\"]\n  23 -> 27 [size =\"27554816\"]\n  23 -> 28 [size =\"27554816\"]\n  24 [size=\"163044693\", alpha=\"0.13\", expect_size=\"48913408\"] \n  24 -> 29 [size =\"48913408\"]\n  24 -> 30 [size =\"48913408\"]\n  24 -> 31 [size =\"48913408\"]\n  24 -> 32 [size =\"48913408\"]\n  24 -> 33 [size =\"48913408\"]\n  24 -> 34 [size =\"48913408\"]\n  25 [size=\"71430827\", alpha=\"0.12\", expect_size=\"21429248\"] \n  25 -> 29 [size =\"21429248\"]\n  25 -> 30 [size =\"21429248\"]\n  25 -> 31 [size =\"21429248\"]\n  25 -> 32 [size =\"21429248\"]\n  25 -> 33 [size =\"21429248\"]\n  25 -> 34 [size =\"21429248\"]\n  26 [size=\"73629013\", alpha=\"0.02\", expect_size=\"22088704\"] \n  26 -> 29 [size =\"22088704\"]\n  26 -> 30 [size =\"22088704\"]\n  26 -> 31 [size =\"22088704\"]\n  26 -> 32 [size =\"22088704\"]\n  26 -> 34 [size =\"22088704\"]\n  27 [size=\"37696853\", alpha=\"0.01\", expect_size=\"11309056\"] \n  27 -> 29 [size =\"11309056\"]\n  27 -> 30 [size =\"11309056\"]\n  27 -> 31 [size =\"11309056\"]\n  27 -> 32 [size =\"11309056\"]\n  27 -> 34 [size =\"11309056\"]\n  28 [size=\"55616853\", alpha=\"0.07\", expect_size=\"16685056\"] \n  28 -> 29 [size =\"16685056\"]\n  28 -> 30 [size =\"16685056\"]\n  28 -> 31 [size =\"16685056\"]\n  28 -> 32 [size =\"16685056\"]\n  28 -> 33 [size =\"16685056\"]\n  28 -> 34 [size =\"16685056\"]\n  29 [size=\"169140907\", alpha=\"0.19\", expect_size=\"50742272\"] \n  29 -> 35 [size =\"50742272\"]\n  29 -> 39 [size =\"50742272\"]\n  29 -> 40 [size =\"50742272\"]\n  30 [size=\"73632427\", alpha=\"0.15\", expect_size=\"22089728\"] \n  30 -> 36 [size =\"22089728\"]\n  30 -> 38 [size =\"22089728\"]\n  30 -> 39 [size =\"22089728\"]\n  31 [size=\"112605867\", alpha=\"0.10\", expect_size=\"33781760\"] \n  31 -> 35 [size =\"33781760\"]\n  31 -> 36 [size =\"33781760\"]\n  31 -> 38 [size =\"33781760\"]\n  31 -> 39 [size =\"33781760\"]\n  31 -> 40 [size =\"33781760\"]\n  32 [size=\"108127573\", alpha=\"0.00\", expect_size=\"32438272\"] \n  32 -> 36 [size =\"32438272\"]\n  32 -> 37 [size =\"32438272\"]\n  32 -> 40 [size =\"32438272\"]\n  33 [size=\"41987413\", alpha=\"0.02\", expect_size=\"12596224\"] \n  33 -> 35 [size =\"12596224\"]\n  33 -> 36 [size =\"12596224\"]\n  33 -> 37 [size =\"12596224\"]\n  33 -> 38 [size =\"12596224\"]\n  33 -> 39 [size =\"12596224\"]\n  34 [size=\"84428800\", alpha=\"0.00\", expect_size=\"25328640\"] \n  34 -> 35 [size =\"25328640\"]\n  34 -> 36 [size =\"25328640\"]\n  34 -> 38 [size =\"25328640\"]\n  34 -> 38 [size =\"25328640\"]\n  34 -> 39 [size =\"25328640\"]\n  35 [size=\"28183893\", alpha=\"0.02\", expect_size=\"8455168\"] \n  36 [size=\"125832533\", alpha=\"0.01\", expect_size=\"37749760\"] \n  37 [size=\"142407680\", alpha=\"0.20\", expect_size=\"42722304\"] \n  38 [size=\"149647360\", alpha=\"0.19\", expect_size=\"44894208\"] \n  39 [size=\"45352960\", alpha=\"0.04\", expect_size=\"13605888\"] \n  40 [size=\"39325013\", alpha=\"0.18\", expect_size=\"11797504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59368960\", alpha=\"0.10\", expect_size=\"23747584\"] \n  1 -> 7 [size =\"23747584\"]\n  1 -> 9 [size =\"23747584\"]\n  1 -> 10 [size =\"23747584\"]\n  1 -> 11 [size =\"23747584\"]\n  2 [size=\"80253440\", alpha=\"0.04\", expect_size=\"32101376\"] \n  2 -> 6 [size =\"32101376\"]\n  2 -> 7 [size =\"32101376\"]\n  2 -> 9 [size =\"32101376\"]\n  2 -> 10 [size =\"32101376\"]\n  2 -> 11 [size =\"32101376\"]\n  3 [size=\"116369920\", alpha=\"0.07\", expect_size=\"46547968\"] \n  3 -> 11 [size =\"46547968\"]\n  4 [size=\"105341440\", alpha=\"0.12\", expect_size=\"42136576\"] \n  4 -> 8 [size =\"42136576\"]\n  5 [size=\"36894720\", alpha=\"0.16\", expect_size=\"14757888\"] \n  5 -> 6 [size =\"14757888\"]\n  5 -> 7 [size =\"14757888\"]\n  5 -> 10 [size =\"14757888\"]\n  6 [size=\"52894720\", alpha=\"0.19\", expect_size=\"21157888\"] \n  6 -> 12 [size =\"21157888\"]\n  6 -> 13 [size =\"21157888\"]\n  6 -> 17 [size =\"21157888\"]\n  7 [size=\"94753280\", alpha=\"0.19\", expect_size=\"37901312\"] \n  7 -> 12 [size =\"37901312\"]\n  8 [size=\"14684160\", alpha=\"0.07\", expect_size=\"5873664\"] \n  8 -> 12 [size =\"5873664\"]\n  8 -> 14 [size =\"5873664\"]\n  8 -> 17 [size =\"5873664\"]\n  9 [size=\"96097280\", alpha=\"0.14\", expect_size=\"38438912\"] \n  9 -> 15 [size =\"38438912\"]\n  9 -> 17 [size =\"38438912\"]\n  10 [size=\"17669120\", alpha=\"0.15\", expect_size=\"7067648\"] \n  10 -> 15 [size =\"7067648\"]\n  10 -> 16 [size =\"7067648\"]\n  10 -> 17 [size =\"7067648\"]\n  11 [size=\"126919680\", alpha=\"0.13\", expect_size=\"50767872\"] \n  11 -> 12 [size =\"50767872\"]\n  11 -> 16 [size =\"50767872\"]\n  12 [size=\"69094400\", alpha=\"0.09\", expect_size=\"27637760\"] \n  12 -> 22 [size =\"27637760\"]\n  13 [size=\"93278720\", alpha=\"0.11\", expect_size=\"37311488\"] \n  13 -> 19 [size =\"37311488\"]\n  13 -> 20 [size =\"37311488\"]\n  13 -> 21 [size =\"37311488\"]\n  13 -> 22 [size =\"37311488\"]\n  14 [size=\"15703040\", alpha=\"0.05\", expect_size=\"6281216\"] \n  14 -> 22 [size =\"6281216\"]\n  15 [size=\"86336000\", alpha=\"0.16\", expect_size=\"34534400\"] \n  15 -> 18 [size =\"34534400\"]\n  15 -> 21 [size =\"34534400\"]\n  15 -> 22 [size =\"34534400\"]\n  16 [size=\"60267520\", alpha=\"0.13\", expect_size=\"24107008\"] \n  16 -> 18 [size =\"24107008\"]\n  16 -> 20 [size =\"24107008\"]\n  16 -> 21 [size =\"24107008\"]\n  17 [size=\"52892160\", alpha=\"0.06\", expect_size=\"21156864\"] \n  17 -> 18 [size =\"21156864\"]\n  17 -> 20 [size =\"21156864\"]\n  17 -> 21 [size =\"21156864\"]\n  18 [size=\"44200960\", alpha=\"0.01\", expect_size=\"17680384\"] \n  18 -> 23 [size =\"17680384\"]\n  18 -> 25 [size =\"17680384\"]\n  19 [size=\"87710720\", alpha=\"0.07\", expect_size=\"35084288\"] \n  19 -> 23 [size =\"35084288\"]\n  20 [size=\"50859520\", alpha=\"0.14\", expect_size=\"20343808\"] \n  20 -> 24 [size =\"20343808\"]\n  20 -> 26 [size =\"20343808\"]\n  21 [size=\"23861760\", alpha=\"0.10\", expect_size=\"9544704\"] \n  21 -> 24 [size =\"9544704\"]\n  21 -> 25 [size =\"9544704\"]\n  22 [size=\"97722880\", alpha=\"0.16\", expect_size=\"39089152\"] \n  22 -> 25 [size =\"39089152\"]\n  22 -> 26 [size =\"39089152\"]\n  22 -> 27 [size =\"39089152\"]\n  23 [size=\"33195520\", alpha=\"0.01\", expect_size=\"13278208\"] \n  23 -> 30 [size =\"13278208\"]\n  23 -> 31 [size =\"13278208\"]\n  24 [size=\"97047040\", alpha=\"0.01\", expect_size=\"38818816\"] \n  24 -> 29 [size =\"38818816\"]\n  24 -> 30 [size =\"38818816\"]\n  25 [size=\"123924480\", alpha=\"0.05\", expect_size=\"49569792\"] \n  25 -> 28 [size =\"49569792\"]\n  25 -> 30 [size =\"49569792\"]\n  26 [size=\"99264000\", alpha=\"0.15\", expect_size=\"39705600\"] \n  26 -> 28 [size =\"39705600\"]\n  26 -> 29 [size =\"39705600\"]\n  27 [size=\"58675200\", alpha=\"0.20\", expect_size=\"23470080\"] \n  27 -> 28 [size =\"23470080\"]\n  28 [size=\"91404800\", alpha=\"0.05\", expect_size=\"36561920\"] \n  29 [size=\"94627840\", alpha=\"0.04\", expect_size=\"37851136\"] \n  29 -> 32 [size =\"37851136\"]\n  30 [size=\"15815680\", alpha=\"0.03\", expect_size=\"6326272\"] \n  30 -> 33 [size =\"6326272\"]\n  30 -> 34 [size =\"6326272\"]\n  30 -> 35 [size =\"6326272\"]\n  31 [size=\"99619840\", alpha=\"0.02\", expect_size=\"39847936\"] \n  32 [size=\"38407680\", alpha=\"0.11\", expect_size=\"15363072\"] \n  32 -> 37 [size =\"15363072\"]\n  32 -> 39 [size =\"15363072\"]\n  32 -> 40 [size =\"15363072\"]\n  33 [size=\"17290240\", alpha=\"0.13\", expect_size=\"6916096\"] \n  33 -> 37 [size =\"6916096\"]\n  33 -> 38 [size =\"6916096\"]\n  34 [size=\"21570560\", alpha=\"0.15\", expect_size=\"8628224\"] \n  34 -> 36 [size =\"8628224\"]\n  34 -> 39 [size =\"8628224\"]\n  35 [size=\"25512960\", alpha=\"0.10\", expect_size=\"10205184\"] \n  35 -> 36 [size =\"10205184\"]\n  35 -> 37 [size =\"10205184\"]\n  35 -> 39 [size =\"10205184\"]\n  36 [size=\"52912640\", alpha=\"0.13\", expect_size=\"21165056\"] \n  37 [size=\"25589760\", alpha=\"0.03\", expect_size=\"10235904\"] \n  38 [size=\"25192960\", alpha=\"0.18\", expect_size=\"10077184\"] \n  39 [size=\"53299200\", alpha=\"0.05\", expect_size=\"21319680\"] \n  40 [size=\"74938880\", alpha=\"0.19\", expect_size=\"29975552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96829440\", alpha=\"0.18\", expect_size=\"38731776\"] \n  1 -> 2 [size =\"38731776\"]\n  2 [size=\"17774080\", alpha=\"0.07\", expect_size=\"7109632\"] \n  2 -> 3 [size =\"7109632\"]\n  3 [size=\"88752640\", alpha=\"0.17\", expect_size=\"35501056\"] \n  3 -> 4 [size =\"35501056\"]\n  4 [size=\"46609920\", alpha=\"0.05\", expect_size=\"18643968\"] \n  4 -> 5 [size =\"18643968\"]\n  5 [size=\"92958720\", alpha=\"0.20\", expect_size=\"37183488\"] \n  5 -> 6 [size =\"37183488\"]\n  6 [size=\"37422080\", alpha=\"0.14\", expect_size=\"14968832\"] \n  6 -> 7 [size =\"14968832\"]\n  7 [size=\"80640000\", alpha=\"0.01\", expect_size=\"32256000\"] \n  7 -> 8 [size =\"32256000\"]\n  8 [size=\"105346560\", alpha=\"0.03\", expect_size=\"42138624\"] \n  8 -> 9 [size =\"42138624\"]\n  9 [size=\"20016640\", alpha=\"0.13\", expect_size=\"8006656\"] \n  9 -> 10 [size =\"8006656\"]\n  10 [size=\"118927360\", alpha=\"0.14\", expect_size=\"47570944\"] \n  10 -> 11 [size =\"47570944\"]\n  11 [size=\"74908160\", alpha=\"0.13\", expect_size=\"29963264\"] \n  11 -> 12 [size =\"29963264\"]\n  12 [size=\"61086720\", alpha=\"0.08\", expect_size=\"24434688\"] \n  12 -> 13 [size =\"24434688\"]\n  13 [size=\"102062080\", alpha=\"0.02\", expect_size=\"40824832\"] \n  13 -> 14 [size =\"40824832\"]\n  14 [size=\"86632960\", alpha=\"0.11\", expect_size=\"34653184\"] \n  14 -> 15 [size =\"34653184\"]\n  15 [size=\"116741120\", alpha=\"0.06\", expect_size=\"46696448\"] \n  15 -> 16 [size =\"46696448\"]\n  16 [size=\"116464640\", alpha=\"0.09\", expect_size=\"46585856\"] \n  16 -> 17 [size =\"46585856\"]\n  17 [size=\"78699520\", alpha=\"0.06\", expect_size=\"31479808\"] \n  17 -> 18 [size =\"31479808\"]\n  18 [size=\"83934720\", alpha=\"0.16\", expect_size=\"33573888\"] \n  18 -> 19 [size =\"33573888\"]\n  19 [size=\"98690560\", alpha=\"0.02\", expect_size=\"39476224\"] \n  19 -> 20 [size =\"39476224\"]\n  20 [size=\"54676480\", alpha=\"0.16\", expect_size=\"21870592\"] \n  20 -> 21 [size =\"21870592\"]\n  21 [size=\"16785920\", alpha=\"0.05\", expect_size=\"6714368\"] \n  21 -> 22 [size =\"6714368\"]\n  22 [size=\"93990400\", alpha=\"0.14\", expect_size=\"37596160\"] \n  22 -> 23 [size =\"37596160\"]\n  23 [size=\"25779200\", alpha=\"0.16\", expect_size=\"10311680\"] \n  23 -> 24 [size =\"10311680\"]\n  24 [size=\"37629440\", alpha=\"0.04\", expect_size=\"15051776\"] \n  24 -> 25 [size =\"15051776\"]\n  25 [size=\"100830720\", alpha=\"0.05\", expect_size=\"40332288\"] \n  25 -> 26 [size =\"40332288\"]\n  26 [size=\"17408000\", alpha=\"0.11\", expect_size=\"6963200\"] \n  26 -> 27 [size =\"6963200\"]\n  27 [size=\"67939840\", alpha=\"0.08\", expect_size=\"27175936\"] \n  27 -> 28 [size =\"27175936\"]\n  28 [size=\"102215680\", alpha=\"0.01\", expect_size=\"40886272\"] \n  28 -> 29 [size =\"40886272\"]\n  29 [size=\"78341120\", alpha=\"0.14\", expect_size=\"31336448\"] \n  29 -> 30 [size =\"31336448\"]\n  30 [size=\"87854080\", alpha=\"0.06\", expect_size=\"35141632\"] \n  30 -> 31 [size =\"35141632\"]\n  31 [size=\"64309760\", alpha=\"0.08\", expect_size=\"25723904\"] \n  31 -> 32 [size =\"25723904\"]\n  32 [size=\"91432960\", alpha=\"0.19\", expect_size=\"36573184\"] \n  32 -> 33 [size =\"36573184\"]\n  33 [size=\"55925760\", alpha=\"0.04\", expect_size=\"22370304\"] \n  33 -> 34 [size =\"22370304\"]\n  34 [size=\"33436160\", alpha=\"0.02\", expect_size=\"13374464\"] \n  34 -> 35 [size =\"13374464\"]\n  35 [size=\"57466880\", alpha=\"0.18\", expect_size=\"22986752\"] \n  35 -> 36 [size =\"22986752\"]\n  36 [size=\"89904640\", alpha=\"0.11\", expect_size=\"35961856\"] \n  36 -> 37 [size =\"35961856\"]\n  37 [size=\"37104640\", alpha=\"0.15\", expect_size=\"14841856\"] \n  37 -> 38 [size =\"14841856\"]\n  38 [size=\"84559360\", alpha=\"0.11\", expect_size=\"33823744\"] \n  38 -> 39 [size =\"33823744\"]\n  39 [size=\"88583680\", alpha=\"0.02\", expect_size=\"35433472\"] \n  39 -> 40 [size =\"35433472\"]\n  40 [size=\"56084480\", alpha=\"0.19\", expect_size=\"22433792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39581013\", alpha=\"0.08\", expect_size=\"11874304\"] \n  1 -> 4 [size =\"11874304\"]\n  1 -> 5 [size =\"11874304\"]\n  2 [size=\"160160427\", alpha=\"0.12\", expect_size=\"48048128\"] \n  2 -> 5 [size =\"48048128\"]\n  2 -> 6 [size =\"48048128\"]\n  3 [size=\"38976853\", alpha=\"0.09\", expect_size=\"11693056\"] \n  3 -> 5 [size =\"11693056\"]\n  3 -> 6 [size =\"11693056\"]\n  4 [size=\"64686080\", alpha=\"0.03\", expect_size=\"19405824\"] \n  4 -> 7 [size =\"19405824\"]\n  4 -> 8 [size =\"19405824\"]\n  5 [size=\"33501867\", alpha=\"0.14\", expect_size=\"10050560\"] \n  5 -> 8 [size =\"10050560\"]\n  6 [size=\"167594667\", alpha=\"0.09\", expect_size=\"50278400\"] \n  6 -> 9 [size =\"50278400\"]\n  7 [size=\"75192320\", alpha=\"0.08\", expect_size=\"22557696\"] \n  7 -> 11 [size =\"22557696\"]\n  8 [size=\"91873280\", alpha=\"0.18\", expect_size=\"27561984\"] \n  8 -> 10 [size =\"27561984\"]\n  8 -> 11 [size =\"27561984\"]\n  9 [size=\"109666987\", alpha=\"0.07\", expect_size=\"32900096\"] \n  10 [size=\"21108053\", alpha=\"0.05\", expect_size=\"6332416\"] \n  10 -> 12 [size =\"6332416\"]\n  10 -> 13 [size =\"6332416\"]\n  11 [size=\"169362773\", alpha=\"0.07\", expect_size=\"50808832\"] \n  11 -> 12 [size =\"50808832\"]\n  11 -> 13 [size =\"50808832\"]\n  12 [size=\"77933227\", alpha=\"0.00\", expect_size=\"23379968\"] \n  12 -> 14 [size =\"23379968\"]\n  12 -> 15 [size =\"23379968\"]\n  12 -> 16 [size =\"23379968\"]\n  13 [size=\"174475947\", alpha=\"0.05\", expect_size=\"52342784\"] \n  14 [size=\"88378027\", alpha=\"0.16\", expect_size=\"26513408\"] \n  14 -> 18 [size =\"26513408\"]\n  15 [size=\"112694613\", alpha=\"0.08\", expect_size=\"33808384\"] \n  15 -> 18 [size =\"33808384\"]\n  16 [size=\"62549333\", alpha=\"0.18\", expect_size=\"18764800\"] \n  16 -> 17 [size =\"18764800\"]\n  17 [size=\"134993920\", alpha=\"0.11\", expect_size=\"40498176\"] \n  17 -> 20 [size =\"40498176\"]\n  18 [size=\"41826987\", alpha=\"0.09\", expect_size=\"12548096\"] \n  18 -> 19 [size =\"12548096\"]\n  18 -> 20 [size =\"12548096\"]\n  19 [size=\"29303467\", alpha=\"0.16\", expect_size=\"8791040\"] \n  19 -> 21 [size =\"8791040\"]\n  19 -> 22 [size =\"8791040\"]\n  20 [size=\"80711680\", alpha=\"0.13\", expect_size=\"24213504\"] \n  20 -> 21 [size =\"24213504\"]\n  20 -> 22 [size =\"24213504\"]\n  20 -> 23 [size =\"24213504\"]\n  21 [size=\"121801387\", alpha=\"0.13\", expect_size=\"36540416\"] \n  22 [size=\"18677760\", alpha=\"0.11\", expect_size=\"5603328\"] \n  22 -> 25 [size =\"5603328\"]\n  23 [size=\"22572373\", alpha=\"0.12\", expect_size=\"6771712\"] \n  23 -> 24 [size =\"6771712\"]\n  24 [size=\"63081813\", alpha=\"0.19\", expect_size=\"18924544\"] \n  24 -> 26 [size =\"18924544\"]\n  24 -> 27 [size =\"18924544\"]\n  25 [size=\"29381973\", alpha=\"0.07\", expect_size=\"8814592\"] \n  25 -> 26 [size =\"8814592\"]\n  26 [size=\"94460587\", alpha=\"0.15\", expect_size=\"28338176\"] \n  27 [size=\"80551253\", alpha=\"0.11\", expect_size=\"24165376\"] \n  27 -> 28 [size =\"24165376\"]\n  27 -> 29 [size =\"24165376\"]\n  28 [size=\"169912320\", alpha=\"0.15\", expect_size=\"50973696\"] \n  28 -> 30 [size =\"50973696\"]\n  28 -> 31 [size =\"50973696\"]\n  29 [size=\"84452693\", alpha=\"0.12\", expect_size=\"25335808\"] \n  29 -> 31 [size =\"25335808\"]\n  30 [size=\"54391467\", alpha=\"0.09\", expect_size=\"16317440\"] \n  30 -> 34 [size =\"16317440\"]\n  31 [size=\"158528853\", alpha=\"0.05\", expect_size=\"47558656\"] \n  31 -> 32 [size =\"47558656\"]\n  31 -> 33 [size =\"47558656\"]\n  31 -> 34 [size =\"47558656\"]\n  32 [size=\"104403627\", alpha=\"0.09\", expect_size=\"31321088\"] \n  32 -> 35 [size =\"31321088\"]\n  32 -> 36 [size =\"31321088\"]\n  33 [size=\"34703360\", alpha=\"0.12\", expect_size=\"10411008\"] \n  33 -> 35 [size =\"10411008\"]\n  34 [size=\"128211627\", alpha=\"0.05\", expect_size=\"38463488\"] \n  34 -> 36 [size =\"38463488\"]\n  34 -> 37 [size =\"38463488\"]\n  35 [size=\"117572267\", alpha=\"0.10\", expect_size=\"35271680\"] \n  35 -> 38 [size =\"35271680\"]\n  35 -> 39 [size =\"35271680\"]\n  35 -> 40 [size =\"35271680\"]\n  36 [size=\"18810880\", alpha=\"0.01\", expect_size=\"5643264\"] \n  36 -> 39 [size =\"5643264\"]\n  37 [size=\"139335680\", alpha=\"0.07\", expect_size=\"41800704\"] \n  37 -> 40 [size =\"41800704\"]\n  38 [size=\"65003520\", alpha=\"0.15\", expect_size=\"19501056\"] \n  39 [size=\"27501227\", alpha=\"0.05\", expect_size=\"8250368\"] \n  40 [size=\"119019520\", alpha=\"0.04\", expect_size=\"35705856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14822400\", alpha=\"0.11\", expect_size=\"5928960\"] \n  1 -> 16 [size =\"5928960\"]\n  1 -> 18 [size =\"5928960\"]\n  1 -> 19 [size =\"5928960\"]\n  1 -> 24 [size =\"5928960\"]\n  1 -> 26 [size =\"5928960\"]\n  2 [size=\"61831680\", alpha=\"0.11\", expect_size=\"24732672\"] \n  2 -> 16 [size =\"24732672\"]\n  2 -> 18 [size =\"24732672\"]\n  2 -> 23 [size =\"24732672\"]\n  2 -> 27 [size =\"24732672\"]\n  3 [size=\"17689600\", alpha=\"0.04\", expect_size=\"7075840\"] \n  3 -> 16 [size =\"7075840\"]\n  3 -> 17 [size =\"7075840\"]\n  3 -> 18 [size =\"7075840\"]\n  3 -> 19 [size =\"7075840\"]\n  3 -> 21 [size =\"7075840\"]\n  3 -> 25 [size =\"7075840\"]\n  3 -> 27 [size =\"7075840\"]\n  4 [size=\"65771520\", alpha=\"0.18\", expect_size=\"26308608\"] \n  4 -> 15 [size =\"26308608\"]\n  4 -> 16 [size =\"26308608\"]\n  4 -> 22 [size =\"26308608\"]\n  4 -> 25 [size =\"26308608\"]\n  4 -> 27 [size =\"26308608\"]\n  5 [size=\"100922880\", alpha=\"0.18\", expect_size=\"40369152\"] \n  5 -> 16 [size =\"40369152\"]\n  5 -> 16 [size =\"40369152\"]\n  5 -> 18 [size =\"40369152\"]\n  5 -> 19 [size =\"40369152\"]\n  5 -> 20 [size =\"40369152\"]\n  5 -> 21 [size =\"40369152\"]\n  5 -> 22 [size =\"40369152\"]\n  5 -> 24 [size =\"40369152\"]\n  6 [size=\"59059200\", alpha=\"0.11\", expect_size=\"23623680\"] \n  6 -> 16 [size =\"23623680\"]\n  6 -> 23 [size =\"23623680\"]\n  6 -> 24 [size =\"23623680\"]\n  6 -> 27 [size =\"23623680\"]\n  7 [size=\"29729280\", alpha=\"0.02\", expect_size=\"11891712\"] \n  7 -> 19 [size =\"11891712\"]\n  7 -> 20 [size =\"11891712\"]\n  7 -> 22 [size =\"11891712\"]\n  7 -> 26 [size =\"11891712\"]\n  8 [size=\"84823040\", alpha=\"0.12\", expect_size=\"33929216\"] \n  8 -> 19 [size =\"33929216\"]\n  8 -> 23 [size =\"33929216\"]\n  8 -> 27 [size =\"33929216\"]\n  9 [size=\"88721920\", alpha=\"0.14\", expect_size=\"35488768\"] \n  9 -> 18 [size =\"35488768\"]\n  9 -> 19 [size =\"35488768\"]\n  9 -> 21 [size =\"35488768\"]\n  9 -> 23 [size =\"35488768\"]\n  9 -> 25 [size =\"35488768\"]\n  9 -> 27 [size =\"35488768\"]\n  10 [size=\"104174080\", alpha=\"0.13\", expect_size=\"41669632\"] \n  10 -> 20 [size =\"41669632\"]\n  10 -> 22 [size =\"41669632\"]\n  10 -> 23 [size =\"41669632\"]\n  10 -> 25 [size =\"41669632\"]\n  10 -> 26 [size =\"41669632\"]\n  10 -> 27 [size =\"41669632\"]\n  11 [size=\"79933440\", alpha=\"0.09\", expect_size=\"31973376\"] \n  11 -> 20 [size =\"31973376\"]\n  11 -> 24 [size =\"31973376\"]\n  11 -> 26 [size =\"31973376\"]\n  11 -> 27 [size =\"31973376\"]\n  12 [size=\"27253760\", alpha=\"0.04\", expect_size=\"10901504\"] \n  12 -> 18 [size =\"10901504\"]\n  12 -> 21 [size =\"10901504\"]\n  12 -> 24 [size =\"10901504\"]\n  12 -> 26 [size =\"10901504\"]\n  13 [size=\"91279360\", alpha=\"0.14\", expect_size=\"36511744\"] \n  13 -> 14 [size =\"36511744\"]\n  13 -> 15 [size =\"36511744\"]\n  13 -> 16 [size =\"36511744\"]\n  13 -> 18 [size =\"36511744\"]\n  13 -> 20 [size =\"36511744\"]\n  13 -> 21 [size =\"36511744\"]\n  13 -> 22 [size =\"36511744\"]\n  13 -> 23 [size =\"36511744\"]\n  13 -> 24 [size =\"36511744\"]\n  14 [size=\"117107200\", alpha=\"0.09\", expect_size=\"46842880\"] \n  14 -> 28 [size =\"46842880\"]\n  14 -> 29 [size =\"46842880\"]\n  14 -> 31 [size =\"46842880\"]\n  14 -> 32 [size =\"46842880\"]\n  15 [size=\"104826880\", alpha=\"0.10\", expect_size=\"41930752\"] \n  15 -> 28 [size =\"41930752\"]\n  15 -> 29 [size =\"41930752\"]\n  15 -> 32 [size =\"41930752\"]\n  15 -> 34 [size =\"41930752\"]\n  15 -> 35 [size =\"41930752\"]\n  15 -> 38 [size =\"41930752\"]\n  15 -> 39 [size =\"41930752\"]\n  16 [size=\"94031360\", alpha=\"0.04\", expect_size=\"37612544\"] \n  16 -> 28 [size =\"37612544\"]\n  16 -> 29 [size =\"37612544\"]\n  16 -> 31 [size =\"37612544\"]\n  16 -> 33 [size =\"37612544\"]\n  16 -> 34 [size =\"37612544\"]\n  16 -> 38 [size =\"37612544\"]\n  16 -> 39 [size =\"37612544\"]\n  17 [size=\"40576000\", alpha=\"0.08\", expect_size=\"16230400\"] \n  17 -> 29 [size =\"16230400\"]\n  17 -> 39 [size =\"16230400\"]\n  17 -> 40 [size =\"16230400\"]\n  18 [size=\"51630080\", alpha=\"0.12\", expect_size=\"20652032\"] \n  18 -> 31 [size =\"20652032\"]\n  18 -> 34 [size =\"20652032\"]\n  18 -> 35 [size =\"20652032\"]\n  18 -> 36 [size =\"20652032\"]\n  19 [size=\"120414720\", alpha=\"0.03\", expect_size=\"48165888\"] \n  19 -> 29 [size =\"48165888\"]\n  19 -> 30 [size =\"48165888\"]\n  19 -> 31 [size =\"48165888\"]\n  19 -> 35 [size =\"48165888\"]\n  19 -> 36 [size =\"48165888\"]\n  19 -> 40 [size =\"48165888\"]\n  20 [size=\"85516800\", alpha=\"0.07\", expect_size=\"34206720\"] \n  20 -> 29 [size =\"34206720\"]\n  20 -> 30 [size =\"34206720\"]\n  20 -> 33 [size =\"34206720\"]\n  20 -> 34 [size =\"34206720\"]\n  20 -> 36 [size =\"34206720\"]\n  20 -> 37 [size =\"34206720\"]\n  21 [size=\"43087360\", alpha=\"0.12\", expect_size=\"17234944\"] \n  21 -> 29 [size =\"17234944\"]\n  21 -> 40 [size =\"17234944\"]\n  22 [size=\"98575360\", alpha=\"0.05\", expect_size=\"39430144\"] \n  22 -> 30 [size =\"39430144\"]\n  22 -> 39 [size =\"39430144\"]\n  23 [size=\"119664640\", alpha=\"0.18\", expect_size=\"47865856\"] \n  23 -> 31 [size =\"47865856\"]\n  23 -> 33 [size =\"47865856\"]\n  23 -> 35 [size =\"47865856\"]\n  23 -> 38 [size =\"47865856\"]\n  23 -> 39 [size =\"47865856\"]\n  24 [size=\"83258880\", alpha=\"0.01\", expect_size=\"33303552\"] \n  24 -> 30 [size =\"33303552\"]\n  24 -> 34 [size =\"33303552\"]\n  25 [size=\"18754560\", alpha=\"0.18\", expect_size=\"7501824\"] \n  25 -> 38 [size =\"7501824\"]\n  25 -> 39 [size =\"7501824\"]\n  26 [size=\"78225920\", alpha=\"0.04\", expect_size=\"31290368\"] \n  26 -> 30 [size =\"31290368\"]\n  27 [size=\"104588800\", alpha=\"0.12\", expect_size=\"41835520\"] \n  27 -> 29 [size =\"41835520\"]\n  27 -> 30 [size =\"41835520\"]\n  27 -> 34 [size =\"41835520\"]\n  28 [size=\"31206400\", alpha=\"0.12\", expect_size=\"12482560\"] \n  29 [size=\"99530240\", alpha=\"0.05\", expect_size=\"39812096\"] \n  30 [size=\"117150720\", alpha=\"0.14\", expect_size=\"46860288\"] \n  31 [size=\"42265600\", alpha=\"0.13\", expect_size=\"16906240\"] \n  32 [size=\"112522240\", alpha=\"0.16\", expect_size=\"45008896\"] \n  33 [size=\"22753280\", alpha=\"0.11\", expect_size=\"9101312\"] \n  34 [size=\"13470720\", alpha=\"0.04\", expect_size=\"5388288\"] \n  35 [size=\"19374080\", alpha=\"0.13\", expect_size=\"7749632\"] \n  36 [size=\"128281600\", alpha=\"0.15\", expect_size=\"51312640\"] \n  37 [size=\"32256000\", alpha=\"0.02\", expect_size=\"12902400\"] \n  38 [size=\"101808640\", alpha=\"0.16\", expect_size=\"40723456\"] \n  39 [size=\"54768640\", alpha=\"0.08\", expect_size=\"21907456\"] \n  40 [size=\"84710400\", alpha=\"0.12\", expect_size=\"33884160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119418880\", alpha=\"0.01\", expect_size=\"35825664\"] \n  2 [size=\"101795840\", alpha=\"0.17\", expect_size=\"30538752\"] \n  2 -> 8 [size =\"30538752\"]\n  2 -> 9 [size =\"30538752\"]\n  3 [size=\"75857920\", alpha=\"0.08\", expect_size=\"22757376\"] \n  3 -> 7 [size =\"22757376\"]\n  3 -> 8 [size =\"22757376\"]\n  3 -> 9 [size =\"22757376\"]\n  3 -> 10 [size =\"22757376\"]\n  4 [size=\"84722347\", alpha=\"0.01\", expect_size=\"25416704\"] \n  5 [size=\"45830827\", alpha=\"0.01\", expect_size=\"13749248\"] \n  5 -> 6 [size =\"13749248\"]\n  5 -> 7 [size =\"13749248\"]\n  6 [size=\"68191573\", alpha=\"0.13\", expect_size=\"20457472\"] \n  6 -> 13 [size =\"20457472\"]\n  7 [size=\"93996373\", alpha=\"0.15\", expect_size=\"28198912\"] \n  7 -> 11 [size =\"28198912\"]\n  8 [size=\"145278293\", alpha=\"0.02\", expect_size=\"43583488\"] \n  8 -> 15 [size =\"43583488\"]\n  9 [size=\"28658347\", alpha=\"0.15\", expect_size=\"8597504\"] \n  9 -> 12 [size =\"8597504\"]\n  9 -> 13 [size =\"8597504\"]\n  9 -> 14 [size =\"8597504\"]\n  9 -> 15 [size =\"8597504\"]\n  10 [size=\"59112107\", alpha=\"0.18\", expect_size=\"17733632\"] \n  10 -> 11 [size =\"17733632\"]\n  10 -> 12 [size =\"17733632\"]\n  10 -> 13 [size =\"17733632\"]\n  10 -> 14 [size =\"17733632\"]\n  10 -> 15 [size =\"17733632\"]\n  11 [size=\"26569387\", alpha=\"0.02\", expect_size=\"7970816\"] \n  11 -> 16 [size =\"7970816\"]\n  11 -> 17 [size =\"7970816\"]\n  11 -> 18 [size =\"7970816\"]\n  11 -> 20 [size =\"7970816\"]\n  12 [size=\"30518613\", alpha=\"0.16\", expect_size=\"9155584\"] \n  12 -> 16 [size =\"9155584\"]\n  12 -> 17 [size =\"9155584\"]\n  12 -> 19 [size =\"9155584\"]\n  12 -> 20 [size =\"9155584\"]\n  12 -> 21 [size =\"9155584\"]\n  13 [size=\"165430613\", alpha=\"0.20\", expect_size=\"49629184\"] \n  13 -> 16 [size =\"49629184\"]\n  13 -> 19 [size =\"49629184\"]\n  13 -> 20 [size =\"49629184\"]\n  13 -> 21 [size =\"49629184\"]\n  13 -> 21 [size =\"49629184\"]\n  14 [size=\"71860907\", alpha=\"0.15\", expect_size=\"21558272\"] \n  14 -> 16 [size =\"21558272\"]\n  14 -> 19 [size =\"21558272\"]\n  14 -> 20 [size =\"21558272\"]\n  14 -> 21 [size =\"21558272\"]\n  15 [size=\"76933120\", alpha=\"0.10\", expect_size=\"23079936\"] \n  15 -> 16 [size =\"23079936\"]\n  15 -> 19 [size =\"23079936\"]\n  15 -> 21 [size =\"23079936\"]\n  16 [size=\"84370773\", alpha=\"0.01\", expect_size=\"25311232\"] \n  17 [size=\"28480853\", alpha=\"0.01\", expect_size=\"8544256\"] \n  17 -> 22 [size =\"8544256\"]\n  17 -> 24 [size =\"8544256\"]\n  17 -> 25 [size =\"8544256\"]\n  18 [size=\"144424960\", alpha=\"0.01\", expect_size=\"43327488\"] \n  18 -> 22 [size =\"43327488\"]\n  18 -> 25 [size =\"43327488\"]\n  19 [size=\"159532373\", alpha=\"0.08\", expect_size=\"47859712\"] \n  19 -> 24 [size =\"47859712\"]\n  20 [size=\"119681707\", alpha=\"0.06\", expect_size=\"35904512\"] \n  20 -> 23 [size =\"35904512\"]\n  21 [size=\"100304213\", alpha=\"0.16\", expect_size=\"30091264\"] \n  21 -> 22 [size =\"30091264\"]\n  21 -> 23 [size =\"30091264\"]\n  22 [size=\"112745813\", alpha=\"0.17\", expect_size=\"33823744\"] \n  22 -> 26 [size =\"33823744\"]\n  22 -> 28 [size =\"33823744\"]\n  22 -> 29 [size =\"33823744\"]\n  22 -> 30 [size =\"33823744\"]\n  23 [size=\"84616533\", alpha=\"0.06\", expect_size=\"25384960\"] \n  23 -> 26 [size =\"25384960\"]\n  23 -> 27 [size =\"25384960\"]\n  23 -> 29 [size =\"25384960\"]\n  24 [size=\"80916480\", alpha=\"0.03\", expect_size=\"24274944\"] \n  24 -> 26 [size =\"24274944\"]\n  24 -> 27 [size =\"24274944\"]\n  24 -> 29 [size =\"24274944\"]\n  25 [size=\"40434347\", alpha=\"0.03\", expect_size=\"12130304\"] \n  25 -> 26 [size =\"12130304\"]\n  25 -> 29 [size =\"12130304\"]\n  26 [size=\"115978240\", alpha=\"0.11\", expect_size=\"34793472\"] \n  26 -> 31 [size =\"34793472\"]\n  26 -> 33 [size =\"34793472\"]\n  27 [size=\"121251840\", alpha=\"0.07\", expect_size=\"36375552\"] \n  27 -> 33 [size =\"36375552\"]\n  27 -> 34 [size =\"36375552\"]\n  28 [size=\"128948907\", alpha=\"0.00\", expect_size=\"38684672\"] \n  28 -> 32 [size =\"38684672\"]\n  28 -> 33 [size =\"38684672\"]\n  29 [size=\"134167893\", alpha=\"0.15\", expect_size=\"40250368\"] \n  29 -> 31 [size =\"40250368\"]\n  29 -> 32 [size =\"40250368\"]\n  29 -> 33 [size =\"40250368\"]\n  29 -> 34 [size =\"40250368\"]\n  30 [size=\"41888427\", alpha=\"0.15\", expect_size=\"12566528\"] \n  30 -> 31 [size =\"12566528\"]\n  30 -> 33 [size =\"12566528\"]\n  30 -> 34 [size =\"12566528\"]\n  31 [size=\"86534827\", alpha=\"0.16\", expect_size=\"25960448\"] \n  31 -> 36 [size =\"25960448\"]\n  31 -> 39 [size =\"25960448\"]\n  31 -> 40 [size =\"25960448\"]\n  32 [size=\"55473493\", alpha=\"0.18\", expect_size=\"16642048\"] \n  32 -> 35 [size =\"16642048\"]\n  32 -> 36 [size =\"16642048\"]\n  32 -> 38 [size =\"16642048\"]\n  32 -> 39 [size =\"16642048\"]\n  32 -> 40 [size =\"16642048\"]\n  33 [size=\"33027413\", alpha=\"0.20\", expect_size=\"9908224\"] \n  33 -> 35 [size =\"9908224\"]\n  33 -> 38 [size =\"9908224\"]\n  33 -> 39 [size =\"9908224\"]\n  33 -> 40 [size =\"9908224\"]\n  34 [size=\"77578240\", alpha=\"0.08\", expect_size=\"23273472\"] \n  34 -> 35 [size =\"23273472\"]\n  34 -> 36 [size =\"23273472\"]\n  34 -> 37 [size =\"23273472\"]\n  34 -> 39 [size =\"23273472\"]\n  34 -> 40 [size =\"23273472\"]\n  35 [size=\"99085653\", alpha=\"0.04\", expect_size=\"29725696\"] \n  36 [size=\"125907627\", alpha=\"0.09\", expect_size=\"37772288\"] \n  37 [size=\"51473067\", alpha=\"0.14\", expect_size=\"15441920\"] \n  38 [size=\"109591893\", alpha=\"0.16\", expect_size=\"32877568\"] \n  39 [size=\"113496747\", alpha=\"0.16\", expect_size=\"34049024\"] \n  40 [size=\"74369707\", alpha=\"0.10\", expect_size=\"22310912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63309824\", alpha=\"0.07\", expect_size=\"31654912\"] \n  1 -> 12 [size =\"31654912\"]\n  1 -> 14 [size =\"31654912\"]\n  1 -> 15 [size =\"31654912\"]\n  1 -> 16 [size =\"31654912\"]\n  1 -> 18 [size =\"31654912\"]\n  1 -> 20 [size =\"31654912\"]\n  1 -> 21 [size =\"31654912\"]\n  1 -> 22 [size =\"31654912\"]\n  1 -> 24 [size =\"31654912\"]\n  2 [size=\"93624320\", alpha=\"0.07\", expect_size=\"46812160\"] \n  2 -> 12 [size =\"46812160\"]\n  2 -> 16 [size =\"46812160\"]\n  2 -> 18 [size =\"46812160\"]\n  2 -> 20 [size =\"46812160\"]\n  2 -> 21 [size =\"46812160\"]\n  2 -> 24 [size =\"46812160\"]\n  3 [size=\"14411776\", alpha=\"0.11\", expect_size=\"7205888\"] \n  3 -> 12 [size =\"7205888\"]\n  3 -> 16 [size =\"7205888\"]\n  3 -> 17 [size =\"7205888\"]\n  3 -> 18 [size =\"7205888\"]\n  3 -> 21 [size =\"7205888\"]\n  3 -> 23 [size =\"7205888\"]\n  3 -> 24 [size =\"7205888\"]\n  4 [size=\"100943872\", alpha=\"0.01\", expect_size=\"50471936\"] \n  4 -> 15 [size =\"50471936\"]\n  4 -> 24 [size =\"50471936\"]\n  5 [size=\"35514368\", alpha=\"0.13\", expect_size=\"17757184\"] \n  5 -> 12 [size =\"17757184\"]\n  5 -> 14 [size =\"17757184\"]\n  5 -> 15 [size =\"17757184\"]\n  5 -> 16 [size =\"17757184\"]\n  5 -> 17 [size =\"17757184\"]\n  5 -> 18 [size =\"17757184\"]\n  5 -> 19 [size =\"17757184\"]\n  5 -> 22 [size =\"17757184\"]\n  5 -> 24 [size =\"17757184\"]\n  6 [size=\"43743232\", alpha=\"0.17\", expect_size=\"21871616\"] \n  6 -> 13 [size =\"21871616\"]\n  6 -> 17 [size =\"21871616\"]\n  6 -> 18 [size =\"21871616\"]\n  6 -> 22 [size =\"21871616\"]\n  6 -> 23 [size =\"21871616\"]\n  6 -> 24 [size =\"21871616\"]\n  7 [size=\"100036608\", alpha=\"0.00\", expect_size=\"50018304\"] \n  7 -> 12 [size =\"50018304\"]\n  7 -> 14 [size =\"50018304\"]\n  7 -> 15 [size =\"50018304\"]\n  7 -> 17 [size =\"50018304\"]\n  7 -> 18 [size =\"50018304\"]\n  7 -> 20 [size =\"50018304\"]\n  7 -> 24 [size =\"50018304\"]\n  8 [size=\"66981888\", alpha=\"0.18\", expect_size=\"33490944\"] \n  8 -> 12 [size =\"33490944\"]\n  8 -> 13 [size =\"33490944\"]\n  8 -> 16 [size =\"33490944\"]\n  8 -> 17 [size =\"33490944\"]\n  8 -> 18 [size =\"33490944\"]\n  8 -> 22 [size =\"33490944\"]\n  8 -> 24 [size =\"33490944\"]\n  9 [size=\"49821696\", alpha=\"0.04\", expect_size=\"24910848\"] \n  9 -> 12 [size =\"24910848\"]\n  9 -> 14 [size =\"24910848\"]\n  9 -> 15 [size =\"24910848\"]\n  9 -> 16 [size =\"24910848\"]\n  9 -> 18 [size =\"24910848\"]\n  9 -> 21 [size =\"24910848\"]\n  9 -> 22 [size =\"24910848\"]\n  9 -> 24 [size =\"24910848\"]\n  10 [size=\"56864768\", alpha=\"0.14\", expect_size=\"28432384\"] \n  10 -> 12 [size =\"28432384\"]\n  10 -> 14 [size =\"28432384\"]\n  10 -> 15 [size =\"28432384\"]\n  10 -> 17 [size =\"28432384\"]\n  10 -> 18 [size =\"28432384\"]\n  10 -> 19 [size =\"28432384\"]\n  10 -> 21 [size =\"28432384\"]\n  10 -> 24 [size =\"28432384\"]\n  11 [size=\"84189184\", alpha=\"0.13\", expect_size=\"42094592\"] \n  11 -> 12 [size =\"42094592\"]\n  11 -> 14 [size =\"42094592\"]\n  11 -> 15 [size =\"42094592\"]\n  11 -> 16 [size =\"42094592\"]\n  11 -> 17 [size =\"42094592\"]\n  11 -> 19 [size =\"42094592\"]\n  11 -> 21 [size =\"42094592\"]\n  11 -> 22 [size =\"42094592\"]\n  12 [size=\"22900736\", alpha=\"0.18\", expect_size=\"11450368\"] \n  12 -> 25 [size =\"11450368\"]\n  12 -> 27 [size =\"11450368\"]\n  12 -> 29 [size =\"11450368\"]\n  12 -> 31 [size =\"11450368\"]\n  12 -> 32 [size =\"11450368\"]\n  12 -> 33 [size =\"11450368\"]\n  12 -> 34 [size =\"11450368\"]\n  13 [size=\"57778176\", alpha=\"0.05\", expect_size=\"28889088\"] \n  13 -> 25 [size =\"28889088\"]\n  13 -> 28 [size =\"28889088\"]\n  13 -> 29 [size =\"28889088\"]\n  13 -> 32 [size =\"28889088\"]\n  13 -> 34 [size =\"28889088\"]\n  14 [size=\"14563328\", alpha=\"0.12\", expect_size=\"7281664\"] \n  14 -> 25 [size =\"7281664\"]\n  14 -> 27 [size =\"7281664\"]\n  14 -> 28 [size =\"7281664\"]\n  14 -> 29 [size =\"7281664\"]\n  14 -> 32 [size =\"7281664\"]\n  14 -> 34 [size =\"7281664\"]\n  14 -> 35 [size =\"7281664\"]\n  15 [size=\"21295104\", alpha=\"0.01\", expect_size=\"10647552\"] \n  15 -> 25 [size =\"10647552\"]\n  15 -> 26 [size =\"10647552\"]\n  15 -> 27 [size =\"10647552\"]\n  15 -> 29 [size =\"10647552\"]\n  15 -> 32 [size =\"10647552\"]\n  15 -> 34 [size =\"10647552\"]\n  16 [size=\"82497536\", alpha=\"0.17\", expect_size=\"41248768\"] \n  16 -> 25 [size =\"41248768\"]\n  16 -> 26 [size =\"41248768\"]\n  16 -> 27 [size =\"41248768\"]\n  16 -> 30 [size =\"41248768\"]\n  16 -> 32 [size =\"41248768\"]\n  16 -> 34 [size =\"41248768\"]\n  17 [size=\"67500032\", alpha=\"0.18\", expect_size=\"33750016\"] \n  17 -> 26 [size =\"33750016\"]\n  17 -> 26 [size =\"33750016\"]\n  17 -> 27 [size =\"33750016\"]\n  17 -> 28 [size =\"33750016\"]\n  17 -> 29 [size =\"33750016\"]\n  17 -> 35 [size =\"33750016\"]\n  17 -> 36 [size =\"33750016\"]\n  18 [size=\"68077568\", alpha=\"0.16\", expect_size=\"34038784\"] \n  18 -> 25 [size =\"34038784\"]\n  18 -> 26 [size =\"34038784\"]\n  18 -> 29 [size =\"34038784\"]\n  18 -> 32 [size =\"34038784\"]\n  18 -> 35 [size =\"34038784\"]\n  18 -> 36 [size =\"34038784\"]\n  19 [size=\"58505216\", alpha=\"0.05\", expect_size=\"29252608\"] \n  19 -> 25 [size =\"29252608\"]\n  19 -> 26 [size =\"29252608\"]\n  19 -> 29 [size =\"29252608\"]\n  19 -> 33 [size =\"29252608\"]\n  19 -> 34 [size =\"29252608\"]\n  19 -> 35 [size =\"29252608\"]\n  20 [size=\"77989888\", alpha=\"0.05\", expect_size=\"38994944\"] \n  20 -> 25 [size =\"38994944\"]\n  20 -> 27 [size =\"38994944\"]\n  20 -> 29 [size =\"38994944\"]\n  20 -> 33 [size =\"38994944\"]\n  20 -> 35 [size =\"38994944\"]\n  20 -> 36 [size =\"38994944\"]\n  21 [size=\"50169856\", alpha=\"0.17\", expect_size=\"25084928\"] \n  21 -> 25 [size =\"25084928\"]\n  21 -> 29 [size =\"25084928\"]\n  21 -> 29 [size =\"25084928\"]\n  21 -> 30 [size =\"25084928\"]\n  21 -> 32 [size =\"25084928\"]\n  21 -> 33 [size =\"25084928\"]\n  22 [size=\"15661056\", alpha=\"0.06\", expect_size=\"7830528\"] \n  22 -> 26 [size =\"7830528\"]\n  22 -> 29 [size =\"7830528\"]\n  22 -> 31 [size =\"7830528\"]\n  22 -> 32 [size =\"7830528\"]\n  22 -> 33 [size =\"7830528\"]\n  22 -> 33 [size =\"7830528\"]\n  22 -> 36 [size =\"7830528\"]\n  23 [size=\"99647488\", alpha=\"0.16\", expect_size=\"49823744\"] \n  23 -> 26 [size =\"49823744\"]\n  23 -> 28 [size =\"49823744\"]\n  23 -> 29 [size =\"49823744\"]\n  23 -> 31 [size =\"49823744\"]\n  23 -> 32 [size =\"49823744\"]\n  23 -> 34 [size =\"49823744\"]\n  24 [size=\"28459008\", alpha=\"0.05\", expect_size=\"14229504\"] \n  24 -> 25 [size =\"14229504\"]\n  24 -> 27 [size =\"14229504\"]\n  24 -> 33 [size =\"14229504\"]\n  24 -> 34 [size =\"14229504\"]\n  25 [size=\"84621312\", alpha=\"0.19\", expect_size=\"42310656\"] \n  25 -> 38 [size =\"42310656\"]\n  25 -> 39 [size =\"42310656\"]\n  25 -> 40 [size =\"42310656\"]\n  26 [size=\"88905728\", alpha=\"0.00\", expect_size=\"44452864\"] \n  26 -> 37 [size =\"44452864\"]\n  26 -> 39 [size =\"44452864\"]\n  27 [size=\"76029952\", alpha=\"0.01\", expect_size=\"38014976\"] \n  27 -> 37 [size =\"38014976\"]\n  27 -> 38 [size =\"38014976\"]\n  27 -> 39 [size =\"38014976\"]\n  27 -> 40 [size =\"38014976\"]\n  28 [size=\"68505600\", alpha=\"0.13\", expect_size=\"34252800\"] \n  28 -> 37 [size =\"34252800\"]\n  28 -> 38 [size =\"34252800\"]\n  28 -> 39 [size =\"34252800\"]\n  28 -> 40 [size =\"34252800\"]\n  29 [size=\"51238912\", alpha=\"0.14\", expect_size=\"25619456\"] \n  29 -> 38 [size =\"25619456\"]\n  29 -> 39 [size =\"25619456\"]\n  30 [size=\"74502144\", alpha=\"0.04\", expect_size=\"37251072\"] \n  30 -> 38 [size =\"37251072\"]\n  30 -> 39 [size =\"37251072\"]\n  31 [size=\"98940928\", alpha=\"0.11\", expect_size=\"49470464\"] \n  31 -> 38 [size =\"49470464\"]\n  31 -> 39 [size =\"49470464\"]\n  32 [size=\"83011584\", alpha=\"0.19\", expect_size=\"41505792\"] \n  32 -> 37 [size =\"41505792\"]\n  32 -> 38 [size =\"41505792\"]\n  33 [size=\"15480832\", alpha=\"0.18\", expect_size=\"7740416\"] \n  33 -> 38 [size =\"7740416\"]\n  33 -> 40 [size =\"7740416\"]\n  34 [size=\"89020416\", alpha=\"0.18\", expect_size=\"44510208\"] \n  34 -> 38 [size =\"44510208\"]\n  34 -> 40 [size =\"44510208\"]\n  35 [size=\"16601088\", alpha=\"0.20\", expect_size=\"8300544\"] \n  35 -> 40 [size =\"8300544\"]\n  36 [size=\"11997184\", alpha=\"0.17\", expect_size=\"5998592\"] \n  36 -> 38 [size =\"5998592\"]\n  36 -> 39 [size =\"5998592\"]\n  36 -> 40 [size =\"5998592\"]\n  37 [size=\"14096384\", alpha=\"0.06\", expect_size=\"7048192\"] \n  38 [size=\"18075648\", alpha=\"0.08\", expect_size=\"9037824\"] \n  39 [size=\"80431104\", alpha=\"0.20\", expect_size=\"40215552\"] \n  40 [size=\"51759104\", alpha=\"0.06\", expect_size=\"25879552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67385344\", alpha=\"0.19\", expect_size=\"33692672\"] \n  1 -> 35 [size =\"33692672\"]\n  1 -> 36 [size =\"33692672\"]\n  1 -> 38 [size =\"33692672\"]\n  1 -> 39 [size =\"33692672\"]\n  2 [size=\"45359104\", alpha=\"0.19\", expect_size=\"22679552\"] \n  2 -> 35 [size =\"22679552\"]\n  2 -> 36 [size =\"22679552\"]\n  3 [size=\"92139520\", alpha=\"0.01\", expect_size=\"46069760\"] \n  3 -> 39 [size =\"46069760\"]\n  4 [size=\"74475520\", alpha=\"0.11\", expect_size=\"37237760\"] \n  4 -> 35 [size =\"37237760\"]\n  4 -> 37 [size =\"37237760\"]\n  4 -> 38 [size =\"37237760\"]\n  5 [size=\"88922112\", alpha=\"0.13\", expect_size=\"44461056\"] \n  5 -> 35 [size =\"44461056\"]\n  5 -> 37 [size =\"44461056\"]\n  6 [size=\"55523328\", alpha=\"0.04\", expect_size=\"27761664\"] \n  6 -> 35 [size =\"27761664\"]\n  6 -> 37 [size =\"27761664\"]\n  6 -> 38 [size =\"27761664\"]\n  6 -> 39 [size =\"27761664\"]\n  7 [size=\"101208064\", alpha=\"0.17\", expect_size=\"50604032\"] \n  7 -> 35 [size =\"50604032\"]\n  7 -> 36 [size =\"50604032\"]\n  7 -> 37 [size =\"50604032\"]\n  7 -> 38 [size =\"50604032\"]\n  7 -> 39 [size =\"50604032\"]\n  8 [size=\"38557696\", alpha=\"0.11\", expect_size=\"19278848\"] \n  8 -> 35 [size =\"19278848\"]\n  8 -> 36 [size =\"19278848\"]\n  8 -> 37 [size =\"19278848\"]\n  9 [size=\"87394304\", alpha=\"0.02\", expect_size=\"43697152\"] \n  9 -> 39 [size =\"43697152\"]\n  10 [size=\"15771648\", alpha=\"0.18\", expect_size=\"7885824\"] \n  10 -> 35 [size =\"7885824\"]\n  10 -> 36 [size =\"7885824\"]\n  10 -> 40 [size =\"7885824\"]\n  11 [size=\"101601280\", alpha=\"0.16\", expect_size=\"50800640\"] \n  11 -> 35 [size =\"50800640\"]\n  11 -> 37 [size =\"50800640\"]\n  11 -> 38 [size =\"50800640\"]\n  11 -> 39 [size =\"50800640\"]\n  12 [size=\"94832640\", alpha=\"0.18\", expect_size=\"47416320\"] \n  12 -> 35 [size =\"47416320\"]\n  12 -> 36 [size =\"47416320\"]\n  12 -> 37 [size =\"47416320\"]\n  12 -> 39 [size =\"47416320\"]\n  13 [size=\"92155904\", alpha=\"0.09\", expect_size=\"46077952\"] \n  13 -> 35 [size =\"46077952\"]\n  13 -> 36 [size =\"46077952\"]\n  13 -> 37 [size =\"46077952\"]\n  13 -> 40 [size =\"46077952\"]\n  14 [size=\"97939456\", alpha=\"0.16\", expect_size=\"48969728\"] \n  14 -> 36 [size =\"48969728\"]\n  14 -> 36 [size =\"48969728\"]\n  14 -> 37 [size =\"48969728\"]\n  14 -> 38 [size =\"48969728\"]\n  14 -> 40 [size =\"48969728\"]\n  15 [size=\"56698880\", alpha=\"0.05\", expect_size=\"28349440\"] \n  15 -> 35 [size =\"28349440\"]\n  15 -> 36 [size =\"28349440\"]\n  16 [size=\"21733376\", alpha=\"0.16\", expect_size=\"10866688\"] \n  17 [size=\"38469632\", alpha=\"0.05\", expect_size=\"19234816\"] \n  18 [size=\"24872960\", alpha=\"0.14\", expect_size=\"12436480\"] \n  18 -> 36 [size =\"12436480\"]\n  19 [size=\"77604864\", alpha=\"0.20\", expect_size=\"38802432\"] \n  19 -> 36 [size =\"38802432\"]\n  19 -> 38 [size =\"38802432\"]\n  20 [size=\"87357440\", alpha=\"0.19\", expect_size=\"43678720\"] \n  20 -> 36 [size =\"43678720\"]\n  20 -> 39 [size =\"43678720\"]\n  21 [size=\"77410304\", alpha=\"0.09\", expect_size=\"38705152\"] \n  21 -> 35 [size =\"38705152\"]\n  21 -> 36 [size =\"38705152\"]\n  22 [size=\"60805120\", alpha=\"0.07\", expect_size=\"30402560\"] \n  22 -> 35 [size =\"30402560\"]\n  22 -> 36 [size =\"30402560\"]\n  22 -> 37 [size =\"30402560\"]\n  22 -> 39 [size =\"30402560\"]\n  23 [size=\"50999296\", alpha=\"0.03\", expect_size=\"25499648\"] \n  23 -> 35 [size =\"25499648\"]\n  23 -> 39 [size =\"25499648\"]\n  24 [size=\"91981824\", alpha=\"0.12\", expect_size=\"45990912\"] \n  24 -> 35 [size =\"45990912\"]\n  24 -> 39 [size =\"45990912\"]\n  25 [size=\"71016448\", alpha=\"0.17\", expect_size=\"35508224\"] \n  25 -> 35 [size =\"35508224\"]\n  25 -> 38 [size =\"35508224\"]\n  25 -> 39 [size =\"35508224\"]\n  26 [size=\"96210944\", alpha=\"0.13\", expect_size=\"48105472\"] \n  26 -> 36 [size =\"48105472\"]\n  26 -> 38 [size =\"48105472\"]\n  26 -> 39 [size =\"48105472\"]\n  27 [size=\"77336576\", alpha=\"0.07\", expect_size=\"38668288\"] \n  27 -> 35 [size =\"38668288\"]\n  27 -> 36 [size =\"38668288\"]\n  27 -> 37 [size =\"38668288\"]\n  27 -> 39 [size =\"38668288\"]\n  27 -> 40 [size =\"38668288\"]\n  28 [size=\"100659200\", alpha=\"0.07\", expect_size=\"50329600\"] \n  28 -> 35 [size =\"50329600\"]\n  28 -> 36 [size =\"50329600\"]\n  28 -> 37 [size =\"50329600\"]\n  28 -> 38 [size =\"50329600\"]\n  28 -> 39 [size =\"50329600\"]\n  28 -> 40 [size =\"50329600\"]\n  29 [size=\"73234432\", alpha=\"0.04\", expect_size=\"36617216\"] \n  29 -> 36 [size =\"36617216\"]\n  29 -> 36 [size =\"36617216\"]\n  29 -> 38 [size =\"36617216\"]\n  29 -> 39 [size =\"36617216\"]\n  30 [size=\"72775680\", alpha=\"0.02\", expect_size=\"36387840\"] \n  30 -> 37 [size =\"36387840\"]\n  31 [size=\"66070528\", alpha=\"0.19\", expect_size=\"33035264\"] \n  31 -> 37 [size =\"33035264\"]\n  31 -> 38 [size =\"33035264\"]\n  31 -> 39 [size =\"33035264\"]\n  31 -> 40 [size =\"33035264\"]\n  32 [size=\"15644672\", alpha=\"0.14\", expect_size=\"7822336\"] \n  32 -> 36 [size =\"7822336\"]\n  32 -> 38 [size =\"7822336\"]\n  32 -> 39 [size =\"7822336\"]\n  33 [size=\"50747392\", alpha=\"0.06\", expect_size=\"25373696\"] \n  34 [size=\"64286720\", alpha=\"0.17\", expect_size=\"32143360\"] \n  34 -> 36 [size =\"32143360\"]\n  34 -> 37 [size =\"32143360\"]\n  34 -> 38 [size =\"32143360\"]\n  35 [size=\"25884672\", alpha=\"0.17\", expect_size=\"12942336\"] \n  36 [size=\"13975552\", alpha=\"0.00\", expect_size=\"6987776\"] \n  37 [size=\"73601024\", alpha=\"0.09\", expect_size=\"36800512\"] \n  38 [size=\"12365824\", alpha=\"0.01\", expect_size=\"6182912\"] \n  39 [size=\"47091712\", alpha=\"0.07\", expect_size=\"23545856\"] \n  40 [size=\"65937408\", alpha=\"0.10\", expect_size=\"32968704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57423872\", alpha=\"0.09\", expect_size=\"28711936\"] \n  1 -> 6 [size =\"28711936\"]\n  2 [size=\"11100160\", alpha=\"0.01\", expect_size=\"5550080\"] \n  2 -> 4 [size =\"5550080\"]\n  2 -> 5 [size =\"5550080\"]\n  3 [size=\"35784704\", alpha=\"0.19\", expect_size=\"17892352\"] \n  4 [size=\"12861440\", alpha=\"0.14\", expect_size=\"6430720\"] \n  4 -> 7 [size =\"6430720\"]\n  4 -> 9 [size =\"6430720\"]\n  5 [size=\"85778432\", alpha=\"0.14\", expect_size=\"42889216\"] \n  5 -> 8 [size =\"42889216\"]\n  6 [size=\"39536640\", alpha=\"0.08\", expect_size=\"19768320\"] \n  6 -> 7 [size =\"19768320\"]\n  6 -> 9 [size =\"19768320\"]\n  7 [size=\"93534208\", alpha=\"0.14\", expect_size=\"46767104\"] \n  7 -> 12 [size =\"46767104\"]\n  8 [size=\"74405888\", alpha=\"0.14\", expect_size=\"37202944\"] \n  8 -> 10 [size =\"37202944\"]\n  8 -> 11 [size =\"37202944\"]\n  8 -> 12 [size =\"37202944\"]\n  9 [size=\"94371840\", alpha=\"0.14\", expect_size=\"47185920\"] \n  10 [size=\"14284800\", alpha=\"0.11\", expect_size=\"7142400\"] \n  10 -> 14 [size =\"7142400\"]\n  11 [size=\"100622336\", alpha=\"0.11\", expect_size=\"50311168\"] \n  11 -> 13 [size =\"50311168\"]\n  12 [size=\"46614528\", alpha=\"0.13\", expect_size=\"23307264\"] \n  13 [size=\"52834304\", alpha=\"0.14\", expect_size=\"26417152\"] \n  13 -> 15 [size =\"26417152\"]\n  13 -> 16 [size =\"26417152\"]\n  14 [size=\"46635008\", alpha=\"0.09\", expect_size=\"23317504\"] \n  14 -> 16 [size =\"23317504\"]\n  15 [size=\"17627136\", alpha=\"0.03\", expect_size=\"8813568\"] \n  15 -> 17 [size =\"8813568\"]\n  15 -> 19 [size =\"8813568\"]\n  16 [size=\"82300928\", alpha=\"0.12\", expect_size=\"41150464\"] \n  16 -> 17 [size =\"41150464\"]\n  16 -> 18 [size =\"41150464\"]\n  17 [size=\"25470976\", alpha=\"0.07\", expect_size=\"12735488\"] \n  17 -> 21 [size =\"12735488\"]\n  18 [size=\"92854272\", alpha=\"0.03\", expect_size=\"46427136\"] \n  18 -> 20 [size =\"46427136\"]\n  18 -> 21 [size =\"46427136\"]\n  19 [size=\"64184320\", alpha=\"0.01\", expect_size=\"32092160\"] \n  19 -> 20 [size =\"32092160\"]\n  20 [size=\"36354048\", alpha=\"0.12\", expect_size=\"18177024\"] \n  20 -> 23 [size =\"18177024\"]\n  21 [size=\"86151168\", alpha=\"0.13\", expect_size=\"43075584\"] \n  21 -> 22 [size =\"43075584\"]\n  21 -> 24 [size =\"43075584\"]\n  22 [size=\"43024384\", alpha=\"0.14\", expect_size=\"21512192\"] \n  22 -> 26 [size =\"21512192\"]\n  23 [size=\"10954752\", alpha=\"0.01\", expect_size=\"5477376\"] \n  24 [size=\"78213120\", alpha=\"0.08\", expect_size=\"39106560\"] \n  24 -> 25 [size =\"39106560\"]\n  24 -> 26 [size =\"39106560\"]\n  25 [size=\"27430912\", alpha=\"0.11\", expect_size=\"13715456\"] \n  25 -> 28 [size =\"13715456\"]\n  26 [size=\"42762240\", alpha=\"0.20\", expect_size=\"21381120\"] \n  26 -> 27 [size =\"21381120\"]\n  26 -> 28 [size =\"21381120\"]\n  27 [size=\"99487744\", alpha=\"0.07\", expect_size=\"49743872\"] \n  27 -> 30 [size =\"49743872\"]\n  28 [size=\"37081088\", alpha=\"0.07\", expect_size=\"18540544\"] \n  28 -> 29 [size =\"18540544\"]\n  29 [size=\"50397184\", alpha=\"0.05\", expect_size=\"25198592\"] \n  29 -> 31 [size =\"25198592\"]\n  29 -> 32 [size =\"25198592\"]\n  30 [size=\"52963328\", alpha=\"0.04\", expect_size=\"26481664\"] \n  30 -> 31 [size =\"26481664\"]\n  31 [size=\"13692928\", alpha=\"0.02\", expect_size=\"6846464\"] \n  31 -> 33 [size =\"6846464\"]\n  31 -> 34 [size =\"6846464\"]\n  32 [size=\"73895936\", alpha=\"0.08\", expect_size=\"36947968\"] \n  32 -> 33 [size =\"36947968\"]\n  32 -> 35 [size =\"36947968\"]\n  33 [size=\"45445120\", alpha=\"0.02\", expect_size=\"22722560\"] \n  33 -> 36 [size =\"22722560\"]\n  33 -> 37 [size =\"22722560\"]\n  33 -> 38 [size =\"22722560\"]\n  34 [size=\"48009216\", alpha=\"0.05\", expect_size=\"24004608\"] \n  34 -> 36 [size =\"24004608\"]\n  35 [size=\"83970048\", alpha=\"0.09\", expect_size=\"41985024\"] \n  36 [size=\"39874560\", alpha=\"0.08\", expect_size=\"19937280\"] \n  36 -> 40 [size =\"19937280\"]\n  37 [size=\"39147520\", alpha=\"0.10\", expect_size=\"19573760\"] \n  37 -> 39 [size =\"19573760\"]\n  38 [size=\"70467584\", alpha=\"0.09\", expect_size=\"35233792\"] \n  38 -> 39 [size =\"35233792\"]\n  38 -> 40 [size =\"35233792\"]\n  39 [size=\"103380992\", alpha=\"0.01\", expect_size=\"51690496\"] \n  40 [size=\"33034240\", alpha=\"0.17\", expect_size=\"16517120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89214976\", alpha=\"0.11\", expect_size=\"44607488\"] \n  1 -> 4 [size =\"44607488\"]\n  1 -> 5 [size =\"44607488\"]\n  2 [size=\"87341056\", alpha=\"0.15\", expect_size=\"43670528\"] \n  2 -> 3 [size =\"43670528\"]\n  2 -> 4 [size =\"43670528\"]\n  3 [size=\"26984448\", alpha=\"0.16\", expect_size=\"13492224\"] \n  3 -> 7 [size =\"13492224\"]\n  4 [size=\"47687680\", alpha=\"0.13\", expect_size=\"23843840\"] \n  4 -> 6 [size =\"23843840\"]\n  5 [size=\"65662976\", alpha=\"0.07\", expect_size=\"32831488\"] \n  6 [size=\"97204224\", alpha=\"0.18\", expect_size=\"48602112\"] \n  6 -> 8 [size =\"48602112\"]\n  6 -> 9 [size =\"48602112\"]\n  7 [size=\"32878592\", alpha=\"0.01\", expect_size=\"16439296\"] \n  7 -> 8 [size =\"16439296\"]\n  7 -> 10 [size =\"16439296\"]\n  8 [size=\"104480768\", alpha=\"0.04\", expect_size=\"52240384\"] \n  8 -> 11 [size =\"52240384\"]\n  9 [size=\"19009536\", alpha=\"0.17\", expect_size=\"9504768\"] \n  9 -> 12 [size =\"9504768\"]\n  10 [size=\"97734656\", alpha=\"0.02\", expect_size=\"48867328\"] \n  11 [size=\"79595520\", alpha=\"0.09\", expect_size=\"39797760\"] \n  11 -> 13 [size =\"39797760\"]\n  12 [size=\"36792320\", alpha=\"0.06\", expect_size=\"18396160\"] \n  12 -> 13 [size =\"18396160\"]\n  12 -> 14 [size =\"18396160\"]\n  12 -> 15 [size =\"18396160\"]\n  13 [size=\"14628864\", alpha=\"0.20\", expect_size=\"7314432\"] \n  13 -> 16 [size =\"7314432\"]\n  14 [size=\"90015744\", alpha=\"0.09\", expect_size=\"45007872\"] \n  14 -> 16 [size =\"45007872\"]\n  14 -> 18 [size =\"45007872\"]\n  15 [size=\"59228160\", alpha=\"0.09\", expect_size=\"29614080\"] \n  15 -> 16 [size =\"29614080\"]\n  15 -> 17 [size =\"29614080\"]\n  15 -> 18 [size =\"29614080\"]\n  16 [size=\"90787840\", alpha=\"0.13\", expect_size=\"45393920\"] \n  17 [size=\"81338368\", alpha=\"0.12\", expect_size=\"40669184\"] \n  17 -> 19 [size =\"40669184\"]\n  18 [size=\"87799808\", alpha=\"0.01\", expect_size=\"43899904\"] \n  18 -> 19 [size =\"43899904\"]\n  19 [size=\"14653440\", alpha=\"0.07\", expect_size=\"7326720\"] \n  19 -> 20 [size =\"7326720\"]\n  20 [size=\"92934144\", alpha=\"0.13\", expect_size=\"46467072\"] \n  20 -> 21 [size =\"46467072\"]\n  20 -> 22 [size =\"46467072\"]\n  20 -> 23 [size =\"46467072\"]\n  20 -> 24 [size =\"46467072\"]\n  21 [size=\"102912000\", alpha=\"0.15\", expect_size=\"51456000\"] \n  21 -> 25 [size =\"51456000\"]\n  21 -> 26 [size =\"51456000\"]\n  21 -> 27 [size =\"51456000\"]\n  22 [size=\"52770816\", alpha=\"0.14\", expect_size=\"26385408\"] \n  22 -> 25 [size =\"26385408\"]\n  23 [size=\"81225728\", alpha=\"0.16\", expect_size=\"40612864\"] \n  23 -> 26 [size =\"40612864\"]\n  23 -> 27 [size =\"40612864\"]\n  24 [size=\"79161344\", alpha=\"0.06\", expect_size=\"39580672\"] \n  24 -> 26 [size =\"39580672\"]\n  24 -> 27 [size =\"39580672\"]\n  25 [size=\"28678144\", alpha=\"0.07\", expect_size=\"14339072\"] \n  25 -> 28 [size =\"14339072\"]\n  25 -> 29 [size =\"14339072\"]\n  25 -> 30 [size =\"14339072\"]\n  25 -> 31 [size =\"14339072\"]\n  26 [size=\"71266304\", alpha=\"0.07\", expect_size=\"35633152\"] \n  26 -> 28 [size =\"35633152\"]\n  27 [size=\"39598080\", alpha=\"0.12\", expect_size=\"19799040\"] \n  27 -> 29 [size =\"19799040\"]\n  27 -> 30 [size =\"19799040\"]\n  27 -> 31 [size =\"19799040\"]\n  28 [size=\"95285248\", alpha=\"0.17\", expect_size=\"47642624\"] \n  28 -> 32 [size =\"47642624\"]\n  28 -> 33 [size =\"47642624\"]\n  28 -> 34 [size =\"47642624\"]\n  29 [size=\"98603008\", alpha=\"0.03\", expect_size=\"49301504\"] \n  29 -> 35 [size =\"49301504\"]\n  30 [size=\"38322176\", alpha=\"0.08\", expect_size=\"19161088\"] \n  30 -> 33 [size =\"19161088\"]\n  30 -> 34 [size =\"19161088\"]\n  31 [size=\"98846720\", alpha=\"0.08\", expect_size=\"49423360\"] \n  31 -> 34 [size =\"49423360\"]\n  32 [size=\"75792384\", alpha=\"0.13\", expect_size=\"37896192\"] \n  32 -> 37 [size =\"37896192\"]\n  33 [size=\"46014464\", alpha=\"0.19\", expect_size=\"23007232\"] \n  33 -> 36 [size =\"23007232\"]\n  33 -> 37 [size =\"23007232\"]\n  34 [size=\"26013696\", alpha=\"0.02\", expect_size=\"13006848\"] \n  34 -> 36 [size =\"13006848\"]\n  35 [size=\"52989952\", alpha=\"0.16\", expect_size=\"26494976\"] \n  35 -> 36 [size =\"26494976\"]\n  35 -> 37 [size =\"26494976\"]\n  36 [size=\"87748608\", alpha=\"0.06\", expect_size=\"43874304\"] \n  36 -> 38 [size =\"43874304\"]\n  36 -> 39 [size =\"43874304\"]\n  36 -> 40 [size =\"43874304\"]\n  37 [size=\"28270592\", alpha=\"0.11\", expect_size=\"14135296\"] \n  37 -> 38 [size =\"14135296\"]\n  37 -> 39 [size =\"14135296\"]\n  38 [size=\"85692416\", alpha=\"0.13\", expect_size=\"42846208\"] \n  39 [size=\"70891520\", alpha=\"0.15\", expect_size=\"35445760\"] \n  40 [size=\"86767616\", alpha=\"0.15\", expect_size=\"43383808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42798080\", alpha=\"0.12\", expect_size=\"17119232\"] \n  1 -> 2 [size =\"17119232\"]\n  2 [size=\"13839360\", alpha=\"0.18\", expect_size=\"5535744\"] \n  2 -> 3 [size =\"5535744\"]\n  3 [size=\"102379520\", alpha=\"0.19\", expect_size=\"40951808\"] \n  3 -> 4 [size =\"40951808\"]\n  4 [size=\"66629120\", alpha=\"0.07\", expect_size=\"26651648\"] \n  4 -> 5 [size =\"26651648\"]\n  5 [size=\"99440640\", alpha=\"0.18\", expect_size=\"39776256\"] \n  5 -> 6 [size =\"39776256\"]\n  6 [size=\"81351680\", alpha=\"0.09\", expect_size=\"32540672\"] \n  6 -> 7 [size =\"32540672\"]\n  7 [size=\"77445120\", alpha=\"0.08\", expect_size=\"30978048\"] \n  7 -> 8 [size =\"30978048\"]\n  8 [size=\"93911040\", alpha=\"0.15\", expect_size=\"37564416\"] \n  8 -> 9 [size =\"37564416\"]\n  9 [size=\"100986880\", alpha=\"0.03\", expect_size=\"40394752\"] \n  9 -> 10 [size =\"40394752\"]\n  10 [size=\"13268480\", alpha=\"0.15\", expect_size=\"5307392\"] \n  10 -> 11 [size =\"5307392\"]\n  11 [size=\"126151680\", alpha=\"0.10\", expect_size=\"50460672\"] \n  11 -> 12 [size =\"50460672\"]\n  12 [size=\"80053760\", alpha=\"0.12\", expect_size=\"32021504\"] \n  12 -> 13 [size =\"32021504\"]\n  13 [size=\"67486720\", alpha=\"0.09\", expect_size=\"26994688\"] \n  13 -> 14 [size =\"26994688\"]\n  14 [size=\"62827520\", alpha=\"0.19\", expect_size=\"25131008\"] \n  14 -> 15 [size =\"25131008\"]\n  15 [size=\"105420800\", alpha=\"0.20\", expect_size=\"42168320\"] \n  15 -> 16 [size =\"42168320\"]\n  16 [size=\"92608000\", alpha=\"0.10\", expect_size=\"37043200\"] \n  16 -> 17 [size =\"37043200\"]\n  17 [size=\"30353920\", alpha=\"0.04\", expect_size=\"12141568\"] \n  17 -> 18 [size =\"12141568\"]\n  18 [size=\"79915520\", alpha=\"0.10\", expect_size=\"31966208\"] \n  18 -> 19 [size =\"31966208\"]\n  19 [size=\"51325440\", alpha=\"0.15\", expect_size=\"20530176\"] \n  19 -> 20 [size =\"20530176\"]\n  20 [size=\"66621440\", alpha=\"0.04\", expect_size=\"26648576\"] \n  20 -> 21 [size =\"26648576\"]\n  21 [size=\"36646400\", alpha=\"0.18\", expect_size=\"14658560\"] \n  21 -> 22 [size =\"14658560\"]\n  22 [size=\"93647360\", alpha=\"0.12\", expect_size=\"37458944\"] \n  22 -> 23 [size =\"37458944\"]\n  23 [size=\"46187520\", alpha=\"0.02\", expect_size=\"18475008\"] \n  23 -> 24 [size =\"18475008\"]\n  24 [size=\"97576960\", alpha=\"0.00\", expect_size=\"39030784\"] \n  24 -> 25 [size =\"39030784\"]\n  25 [size=\"88988160\", alpha=\"0.13\", expect_size=\"35595264\"] \n  25 -> 26 [size =\"35595264\"]\n  26 [size=\"88739840\", alpha=\"0.18\", expect_size=\"35495936\"] \n  26 -> 27 [size =\"35495936\"]\n  27 [size=\"31032320\", alpha=\"0.14\", expect_size=\"12412928\"] \n  27 -> 28 [size =\"12412928\"]\n  28 [size=\"53601280\", alpha=\"0.03\", expect_size=\"21440512\"] \n  28 -> 29 [size =\"21440512\"]\n  29 [size=\"110522880\", alpha=\"0.07\", expect_size=\"44209152\"] \n  29 -> 30 [size =\"44209152\"]\n  30 [size=\"79416320\", alpha=\"0.12\", expect_size=\"31766528\"] \n  30 -> 31 [size =\"31766528\"]\n  31 [size=\"102192640\", alpha=\"0.15\", expect_size=\"40877056\"] \n  31 -> 32 [size =\"40877056\"]\n  32 [size=\"90580480\", alpha=\"0.10\", expect_size=\"36232192\"] \n  32 -> 33 [size =\"36232192\"]\n  33 [size=\"45312000\", alpha=\"0.14\", expect_size=\"18124800\"] \n  33 -> 34 [size =\"18124800\"]\n  34 [size=\"55656960\", alpha=\"0.06\", expect_size=\"22262784\"] \n  34 -> 35 [size =\"22262784\"]\n  35 [size=\"57177600\", alpha=\"0.14\", expect_size=\"22871040\"] \n  35 -> 36 [size =\"22871040\"]\n  36 [size=\"18240000\", alpha=\"0.16\", expect_size=\"7296000\"] \n  36 -> 37 [size =\"7296000\"]\n  37 [size=\"125058560\", alpha=\"0.00\", expect_size=\"50023424\"] \n  37 -> 38 [size =\"50023424\"]\n  38 [size=\"88074240\", alpha=\"0.16\", expect_size=\"35229696\"] \n  38 -> 39 [size =\"35229696\"]\n  39 [size=\"106060800\", alpha=\"0.18\", expect_size=\"42424320\"] \n  39 -> 40 [size =\"42424320\"]\n  40 [size=\"30968320\", alpha=\"0.10\", expect_size=\"12387328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24494080\", alpha=\"0.02\", expect_size=\"9797632\"] \n  1 -> 3 [size =\"9797632\"]\n  1 -> 4 [size =\"9797632\"]\n  2 [size=\"70824960\", alpha=\"0.18\", expect_size=\"28329984\"] \n  2 -> 5 [size =\"28329984\"]\n  3 [size=\"72015360\", alpha=\"0.17\", expect_size=\"28806144\"] \n  4 [size=\"62489600\", alpha=\"0.18\", expect_size=\"24995840\"] \n  4 -> 6 [size =\"24995840\"]\n  4 -> 8 [size =\"24995840\"]\n  5 [size=\"116259840\", alpha=\"0.08\", expect_size=\"46503936\"] \n  5 -> 7 [size =\"46503936\"]\n  6 [size=\"17717760\", alpha=\"0.19\", expect_size=\"7087104\"] \n  6 -> 9 [size =\"7087104\"]\n  6 -> 10 [size =\"7087104\"]\n  7 [size=\"76469760\", alpha=\"0.02\", expect_size=\"30587904\"] \n  8 [size=\"72893440\", alpha=\"0.08\", expect_size=\"29157376\"] \n  8 -> 10 [size =\"29157376\"]\n  9 [size=\"40688640\", alpha=\"0.08\", expect_size=\"16275456\"] \n  10 [size=\"48706560\", alpha=\"0.03\", expect_size=\"19482624\"] \n  10 -> 11 [size =\"19482624\"]\n  10 -> 12 [size =\"19482624\"]\n  11 [size=\"129287680\", alpha=\"0.06\", expect_size=\"51715072\"] \n  12 [size=\"23063040\", alpha=\"0.17\", expect_size=\"9225216\"] \n  12 -> 13 [size =\"9225216\"]\n  12 -> 14 [size =\"9225216\"]\n  13 [size=\"129963520\", alpha=\"0.13\", expect_size=\"51985408\"] \n  13 -> 17 [size =\"51985408\"]\n  14 [size=\"109847040\", alpha=\"0.03\", expect_size=\"43938816\"] \n  14 -> 15 [size =\"43938816\"]\n  14 -> 16 [size =\"43938816\"]\n  15 [size=\"96435200\", alpha=\"0.15\", expect_size=\"38574080\"] \n  15 -> 18 [size =\"38574080\"]\n  15 -> 19 [size =\"38574080\"]\n  16 [size=\"26316800\", alpha=\"0.02\", expect_size=\"10526720\"] \n  16 -> 20 [size =\"10526720\"]\n  17 [size=\"18977280\", alpha=\"0.16\", expect_size=\"7590912\"] \n  17 -> 18 [size =\"7590912\"]\n  18 [size=\"28820480\", alpha=\"0.07\", expect_size=\"11528192\"] \n  18 -> 22 [size =\"11528192\"]\n  19 [size=\"76454400\", alpha=\"0.12\", expect_size=\"30581760\"] \n  20 [size=\"122485760\", alpha=\"0.16\", expect_size=\"48994304\"] \n  20 -> 21 [size =\"48994304\"]\n  21 [size=\"24540160\", alpha=\"0.02\", expect_size=\"9816064\"] \n  21 -> 24 [size =\"9816064\"]\n  22 [size=\"57477120\", alpha=\"0.18\", expect_size=\"22990848\"] \n  22 -> 23 [size =\"22990848\"]\n  22 -> 25 [size =\"22990848\"]\n  23 [size=\"38686720\", alpha=\"0.03\", expect_size=\"15474688\"] \n  23 -> 26 [size =\"15474688\"]\n  23 -> 28 [size =\"15474688\"]\n  24 [size=\"113246720\", alpha=\"0.18\", expect_size=\"45298688\"] \n  24 -> 26 [size =\"45298688\"]\n  24 -> 27 [size =\"45298688\"]\n  25 [size=\"13473280\", alpha=\"0.09\", expect_size=\"5389312\"] \n  25 -> 27 [size =\"5389312\"]\n  25 -> 28 [size =\"5389312\"]\n  26 [size=\"102540800\", alpha=\"0.02\", expect_size=\"41016320\"] \n  27 [size=\"111470080\", alpha=\"0.05\", expect_size=\"44588032\"] \n  27 -> 29 [size =\"44588032\"]\n  27 -> 30 [size =\"44588032\"]\n  27 -> 31 [size =\"44588032\"]\n  28 [size=\"88322560\", alpha=\"0.18\", expect_size=\"35329024\"] \n  29 [size=\"14218240\", alpha=\"0.16\", expect_size=\"5687296\"] \n  30 [size=\"83422720\", alpha=\"0.00\", expect_size=\"33369088\"] \n  30 -> 32 [size =\"33369088\"]\n  30 -> 33 [size =\"33369088\"]\n  31 [size=\"58695680\", alpha=\"0.04\", expect_size=\"23478272\"] \n  31 -> 32 [size =\"23478272\"]\n  31 -> 33 [size =\"23478272\"]\n  32 [size=\"69396480\", alpha=\"0.09\", expect_size=\"27758592\"] \n  32 -> 34 [size =\"27758592\"]\n  32 -> 35 [size =\"27758592\"]\n  33 [size=\"55270400\", alpha=\"0.14\", expect_size=\"22108160\"] \n  33 -> 36 [size =\"22108160\"]\n  34 [size=\"75233280\", alpha=\"0.16\", expect_size=\"30093312\"] \n  34 -> 37 [size =\"30093312\"]\n  34 -> 38 [size =\"30093312\"]\n  35 [size=\"60702720\", alpha=\"0.12\", expect_size=\"24281088\"] \n  36 [size=\"114826240\", alpha=\"0.10\", expect_size=\"45930496\"] \n  36 -> 37 [size =\"45930496\"]\n  36 -> 39 [size =\"45930496\"]\n  37 [size=\"124254720\", alpha=\"0.09\", expect_size=\"49701888\"] \n  38 [size=\"34388480\", alpha=\"0.10\", expect_size=\"13755392\"] \n  38 -> 40 [size =\"13755392\"]\n  39 [size=\"22973440\", alpha=\"0.03\", expect_size=\"9189376\"] \n  39 -> 40 [size =\"9189376\"]\n  40 [size=\"117596160\", alpha=\"0.14\", expect_size=\"47038464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56486400\", alpha=\"0.18\", expect_size=\"22594560\"] \n  1 -> 2 [size =\"22594560\"]\n  2 [size=\"88834560\", alpha=\"0.07\", expect_size=\"35533824\"] \n  2 -> 3 [size =\"35533824\"]\n  3 [size=\"111060480\", alpha=\"0.07\", expect_size=\"44424192\"] \n  3 -> 4 [size =\"44424192\"]\n  4 [size=\"34652160\", alpha=\"0.19\", expect_size=\"13860864\"] \n  4 -> 5 [size =\"13860864\"]\n  5 [size=\"62909440\", alpha=\"0.01\", expect_size=\"25163776\"] \n  5 -> 6 [size =\"25163776\"]\n  6 [size=\"115358720\", alpha=\"0.17\", expect_size=\"46143488\"] \n  6 -> 7 [size =\"46143488\"]\n  7 [size=\"56156160\", alpha=\"0.17\", expect_size=\"22462464\"] \n  7 -> 8 [size =\"22462464\"]\n  8 [size=\"73093120\", alpha=\"0.20\", expect_size=\"29237248\"] \n  8 -> 9 [size =\"29237248\"]\n  9 [size=\"22663680\", alpha=\"0.16\", expect_size=\"9065472\"] \n  9 -> 10 [size =\"9065472\"]\n  10 [size=\"61795840\", alpha=\"0.07\", expect_size=\"24718336\"] \n  10 -> 11 [size =\"24718336\"]\n  11 [size=\"31380480\", alpha=\"0.15\", expect_size=\"12552192\"] \n  11 -> 12 [size =\"12552192\"]\n  12 [size=\"22366720\", alpha=\"0.16\", expect_size=\"8946688\"] \n  12 -> 13 [size =\"8946688\"]\n  13 [size=\"65932800\", alpha=\"0.07\", expect_size=\"26373120\"] \n  13 -> 14 [size =\"26373120\"]\n  14 [size=\"109304320\", alpha=\"0.12\", expect_size=\"43721728\"] \n  14 -> 15 [size =\"43721728\"]\n  15 [size=\"105512960\", alpha=\"0.02\", expect_size=\"42205184\"] \n  15 -> 16 [size =\"42205184\"]\n  16 [size=\"112903680\", alpha=\"0.14\", expect_size=\"45161472\"] \n  16 -> 17 [size =\"45161472\"]\n  17 [size=\"94755840\", alpha=\"0.00\", expect_size=\"37902336\"] \n  17 -> 18 [size =\"37902336\"]\n  18 [size=\"76106240\", alpha=\"0.19\", expect_size=\"30442496\"] \n  18 -> 19 [size =\"30442496\"]\n  19 [size=\"74439680\", alpha=\"0.08\", expect_size=\"29775872\"] \n  19 -> 20 [size =\"29775872\"]\n  20 [size=\"48962560\", alpha=\"0.11\", expect_size=\"19585024\"] \n  20 -> 21 [size =\"19585024\"]\n  21 [size=\"89436160\", alpha=\"0.02\", expect_size=\"35774464\"] \n  21 -> 22 [size =\"35774464\"]\n  22 [size=\"57379840\", alpha=\"0.05\", expect_size=\"22951936\"] \n  22 -> 23 [size =\"22951936\"]\n  23 [size=\"34403840\", alpha=\"0.05\", expect_size=\"13761536\"] \n  23 -> 24 [size =\"13761536\"]\n  24 [size=\"76042240\", alpha=\"0.08\", expect_size=\"30416896\"] \n  24 -> 25 [size =\"30416896\"]\n  25 [size=\"31050240\", alpha=\"0.00\", expect_size=\"12420096\"] \n  25 -> 26 [size =\"12420096\"]\n  26 [size=\"45176320\", alpha=\"0.09\", expect_size=\"18070528\"] \n  26 -> 27 [size =\"18070528\"]\n  27 [size=\"125104640\", alpha=\"0.06\", expect_size=\"50041856\"] \n  27 -> 28 [size =\"50041856\"]\n  28 [size=\"127088640\", alpha=\"0.13\", expect_size=\"50835456\"] \n  28 -> 29 [size =\"50835456\"]\n  29 [size=\"118863360\", alpha=\"0.01\", expect_size=\"47545344\"] \n  29 -> 30 [size =\"47545344\"]\n  30 [size=\"49320960\", alpha=\"0.17\", expect_size=\"19728384\"] \n  30 -> 31 [size =\"19728384\"]\n  31 [size=\"115550720\", alpha=\"0.17\", expect_size=\"46220288\"] \n  31 -> 32 [size =\"46220288\"]\n  32 [size=\"124999680\", alpha=\"0.18\", expect_size=\"49999872\"] \n  32 -> 33 [size =\"49999872\"]\n  33 [size=\"35432960\", alpha=\"0.09\", expect_size=\"14173184\"] \n  33 -> 34 [size =\"14173184\"]\n  34 [size=\"62771200\", alpha=\"0.15\", expect_size=\"25108480\"] \n  34 -> 35 [size =\"25108480\"]\n  35 [size=\"110594560\", alpha=\"0.17\", expect_size=\"44237824\"] \n  35 -> 36 [size =\"44237824\"]\n  36 [size=\"110740480\", alpha=\"0.17\", expect_size=\"44296192\"] \n  36 -> 37 [size =\"44296192\"]\n  37 [size=\"47495680\", alpha=\"0.09\", expect_size=\"18998272\"] \n  37 -> 38 [size =\"18998272\"]\n  38 [size=\"81879040\", alpha=\"0.13\", expect_size=\"32751616\"] \n  38 -> 39 [size =\"32751616\"]\n  39 [size=\"37949440\", alpha=\"0.07\", expect_size=\"15179776\"] \n  39 -> 40 [size =\"15179776\"]\n  40 [size=\"43223040\", alpha=\"0.07\", expect_size=\"17289216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98150400\", alpha=\"0.11\", expect_size=\"29445120\"] \n  1 -> 5 [size =\"29445120\"]\n  1 -> 6 [size =\"29445120\"]\n  1 -> 7 [size =\"29445120\"]\n  1 -> 10 [size =\"29445120\"]\n  2 [size=\"81073493\", alpha=\"0.06\", expect_size=\"24322048\"] \n  2 -> 5 [size =\"24322048\"]\n  2 -> 6 [size =\"24322048\"]\n  2 -> 7 [size =\"24322048\"]\n  2 -> 8 [size =\"24322048\"]\n  3 [size=\"75960320\", alpha=\"0.04\", expect_size=\"22788096\"] \n  3 -> 5 [size =\"22788096\"]\n  3 -> 6 [size =\"22788096\"]\n  3 -> 7 [size =\"22788096\"]\n  3 -> 8 [size =\"22788096\"]\n  4 [size=\"68747947\", alpha=\"0.19\", expect_size=\"20624384\"] \n  4 -> 5 [size =\"20624384\"]\n  4 -> 6 [size =\"20624384\"]\n  4 -> 7 [size =\"20624384\"]\n  4 -> 8 [size =\"20624384\"]\n  4 -> 9 [size =\"20624384\"]\n  5 [size=\"74844160\", alpha=\"0.04\", expect_size=\"22453248\"] \n  5 -> 11 [size =\"22453248\"]\n  5 -> 13 [size =\"22453248\"]\n  6 [size=\"33413120\", alpha=\"0.09\", expect_size=\"10023936\"] \n  6 -> 11 [size =\"10023936\"]\n  6 -> 13 [size =\"10023936\"]\n  7 [size=\"39123627\", alpha=\"0.13\", expect_size=\"11737088\"] \n  7 -> 12 [size =\"11737088\"]\n  7 -> 13 [size =\"11737088\"]\n  8 [size=\"44561067\", alpha=\"0.16\", expect_size=\"13368320\"] \n  8 -> 11 [size =\"13368320\"]\n  8 -> 12 [size =\"13368320\"]\n  8 -> 13 [size =\"13368320\"]\n  8 -> 14 [size =\"13368320\"]\n  9 [size=\"126767787\", alpha=\"0.06\", expect_size=\"38030336\"] \n  9 -> 12 [size =\"38030336\"]\n  9 -> 12 [size =\"38030336\"]\n  9 -> 13 [size =\"38030336\"]\n  10 [size=\"81326080\", alpha=\"0.12\", expect_size=\"24397824\"] \n  10 -> 11 [size =\"24397824\"]\n  10 -> 12 [size =\"24397824\"]\n  10 -> 13 [size =\"24397824\"]\n  11 [size=\"85405013\", alpha=\"0.13\", expect_size=\"25621504\"] \n  11 -> 15 [size =\"25621504\"]\n  11 -> 17 [size =\"25621504\"]\n  11 -> 18 [size =\"25621504\"]\n  12 [size=\"170468693\", alpha=\"0.16\", expect_size=\"51140608\"] \n  12 -> 18 [size =\"51140608\"]\n  12 -> 19 [size =\"51140608\"]\n  13 [size=\"64061440\", alpha=\"0.17\", expect_size=\"19218432\"] \n  13 -> 15 [size =\"19218432\"]\n  13 -> 17 [size =\"19218432\"]\n  13 -> 18 [size =\"19218432\"]\n  13 -> 19 [size =\"19218432\"]\n  14 [size=\"99300693\", alpha=\"0.08\", expect_size=\"29790208\"] \n  14 -> 15 [size =\"29790208\"]\n  14 -> 16 [size =\"29790208\"]\n  14 -> 18 [size =\"29790208\"]\n  15 [size=\"90678613\", alpha=\"0.12\", expect_size=\"27203584\"] \n  15 -> 20 [size =\"27203584\"]\n  15 -> 21 [size =\"27203584\"]\n  15 -> 22 [size =\"27203584\"]\n  16 [size=\"124119040\", alpha=\"0.20\", expect_size=\"37235712\"] \n  16 -> 20 [size =\"37235712\"]\n  16 -> 21 [size =\"37235712\"]\n  16 -> 22 [size =\"37235712\"]\n  16 -> 24 [size =\"37235712\"]\n  17 [size=\"34522453\", alpha=\"0.11\", expect_size=\"10356736\"] \n  17 -> 20 [size =\"10356736\"]\n  17 -> 22 [size =\"10356736\"]\n  17 -> 22 [size =\"10356736\"]\n  17 -> 23 [size =\"10356736\"]\n  17 -> 25 [size =\"10356736\"]\n  18 [size=\"137267200\", alpha=\"0.01\", expect_size=\"41180160\"] \n  18 -> 23 [size =\"41180160\"]\n  18 -> 24 [size =\"41180160\"]\n  19 [size=\"109192533\", alpha=\"0.15\", expect_size=\"32757760\"] \n  19 -> 21 [size =\"32757760\"]\n  19 -> 22 [size =\"32757760\"]\n  19 -> 24 [size =\"32757760\"]\n  19 -> 25 [size =\"32757760\"]\n  20 [size=\"155002880\", alpha=\"0.20\", expect_size=\"46500864\"] \n  20 -> 27 [size =\"46500864\"]\n  20 -> 31 [size =\"46500864\"]\n  21 [size=\"93607253\", alpha=\"0.14\", expect_size=\"28082176\"] \n  21 -> 27 [size =\"28082176\"]\n  21 -> 28 [size =\"28082176\"]\n  21 -> 31 [size =\"28082176\"]\n  22 [size=\"38423893\", alpha=\"0.17\", expect_size=\"11527168\"] \n  22 -> 28 [size =\"11527168\"]\n  22 -> 28 [size =\"11527168\"]\n  23 [size=\"163710293\", alpha=\"0.07\", expect_size=\"49113088\"] \n  23 -> 28 [size =\"49113088\"]\n  23 -> 31 [size =\"49113088\"]\n  24 [size=\"136209067\", alpha=\"0.04\", expect_size=\"40862720\"] \n  24 -> 26 [size =\"40862720\"]\n  24 -> 28 [size =\"40862720\"]\n  24 -> 31 [size =\"40862720\"]\n  25 [size=\"45445120\", alpha=\"0.08\", expect_size=\"13633536\"] \n  25 -> 26 [size =\"13633536\"]\n  25 -> 28 [size =\"13633536\"]\n  25 -> 29 [size =\"13633536\"]\n  25 -> 30 [size =\"13633536\"]\n  25 -> 31 [size =\"13633536\"]\n  26 [size=\"143523840\", alpha=\"0.14\", expect_size=\"43057152\"] \n  26 -> 36 [size =\"43057152\"]\n  27 [size=\"140642987\", alpha=\"0.02\", expect_size=\"42192896\"] \n  27 -> 33 [size =\"42192896\"]\n  27 -> 36 [size =\"42192896\"]\n  28 [size=\"67300693\", alpha=\"0.15\", expect_size=\"20190208\"] \n  28 -> 33 [size =\"20190208\"]\n  29 [size=\"76974080\", alpha=\"0.01\", expect_size=\"23092224\"] \n  29 -> 34 [size =\"23092224\"]\n  30 [size=\"38690133\", alpha=\"0.15\", expect_size=\"11607040\"] \n  30 -> 32 [size =\"11607040\"]\n  30 -> 33 [size =\"11607040\"]\n  30 -> 35 [size =\"11607040\"]\n  30 -> 36 [size =\"11607040\"]\n  31 [size=\"34870613\", alpha=\"0.18\", expect_size=\"10461184\"] \n  31 -> 33 [size =\"10461184\"]\n  31 -> 33 [size =\"10461184\"]\n  31 -> 35 [size =\"10461184\"]\n  31 -> 36 [size =\"10461184\"]\n  32 [size=\"146186240\", alpha=\"0.00\", expect_size=\"43855872\"] \n  32 -> 37 [size =\"43855872\"]\n  32 -> 39 [size =\"43855872\"]\n  32 -> 40 [size =\"43855872\"]\n  33 [size=\"121664853\", alpha=\"0.08\", expect_size=\"36499456\"] \n  33 -> 40 [size =\"36499456\"]\n  34 [size=\"19793920\", alpha=\"0.07\", expect_size=\"5938176\"] \n  34 -> 38 [size =\"5938176\"]\n  34 -> 40 [size =\"5938176\"]\n  35 [size=\"49131520\", alpha=\"0.15\", expect_size=\"14739456\"] \n  35 -> 38 [size =\"14739456\"]\n  35 -> 39 [size =\"14739456\"]\n  35 -> 40 [size =\"14739456\"]\n  36 [size=\"109765973\", alpha=\"0.17\", expect_size=\"32929792\"] \n  36 -> 37 [size =\"32929792\"]\n  36 -> 38 [size =\"32929792\"]\n  36 -> 39 [size =\"32929792\"]\n  37 [size=\"60344320\", alpha=\"0.00\", expect_size=\"18103296\"] \n  38 [size=\"79807147\", alpha=\"0.19\", expect_size=\"23942144\"] \n  39 [size=\"37956267\", alpha=\"0.10\", expect_size=\"11386880\"] \n  40 [size=\"44083200\", alpha=\"0.18\", expect_size=\"13224960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83869696\", alpha=\"0.04\", expect_size=\"41934848\"] \n  1 -> 16 [size =\"41934848\"]\n  1 -> 23 [size =\"41934848\"]\n  2 [size=\"98465792\", alpha=\"0.18\", expect_size=\"49232896\"] \n  2 -> 17 [size =\"49232896\"]\n  2 -> 18 [size =\"49232896\"]\n  2 -> 23 [size =\"49232896\"]\n  3 [size=\"26335232\", alpha=\"0.17\", expect_size=\"13167616\"] \n  3 -> 18 [size =\"13167616\"]\n  3 -> 18 [size =\"13167616\"]\n  3 -> 21 [size =\"13167616\"]\n  4 [size=\"19408896\", alpha=\"0.12\", expect_size=\"9704448\"] \n  4 -> 19 [size =\"9704448\"]\n  4 -> 21 [size =\"9704448\"]\n  4 -> 22 [size =\"9704448\"]\n  4 -> 24 [size =\"9704448\"]\n  5 [size=\"101236736\", alpha=\"0.20\", expect_size=\"50618368\"] \n  5 -> 19 [size =\"50618368\"]\n  5 -> 23 [size =\"50618368\"]\n  6 [size=\"87349248\", alpha=\"0.00\", expect_size=\"43674624\"] \n  6 -> 18 [size =\"43674624\"]\n  6 -> 19 [size =\"43674624\"]\n  6 -> 20 [size =\"43674624\"]\n  6 -> 23 [size =\"43674624\"]\n  7 [size=\"95985664\", alpha=\"0.16\", expect_size=\"47992832\"] \n  7 -> 16 [size =\"47992832\"]\n  7 -> 23 [size =\"47992832\"]\n  8 [size=\"46112768\", alpha=\"0.16\", expect_size=\"23056384\"] \n  8 -> 16 [size =\"23056384\"]\n  8 -> 17 [size =\"23056384\"]\n  8 -> 18 [size =\"23056384\"]\n  8 -> 19 [size =\"23056384\"]\n  8 -> 21 [size =\"23056384\"]\n  8 -> 24 [size =\"23056384\"]\n  9 [size=\"63221760\", alpha=\"0.13\", expect_size=\"31610880\"] \n  9 -> 18 [size =\"31610880\"]\n  9 -> 19 [size =\"31610880\"]\n  9 -> 23 [size =\"31610880\"]\n  10 [size=\"51912704\", alpha=\"0.06\", expect_size=\"25956352\"] \n  10 -> 19 [size =\"25956352\"]\n  10 -> 19 [size =\"25956352\"]\n  10 -> 21 [size =\"25956352\"]\n  10 -> 24 [size =\"25956352\"]\n  11 [size=\"64821248\", alpha=\"0.17\", expect_size=\"32410624\"] \n  11 -> 20 [size =\"32410624\"]\n  11 -> 24 [size =\"32410624\"]\n  12 [size=\"82749440\", alpha=\"0.06\", expect_size=\"41374720\"] \n  12 -> 16 [size =\"41374720\"]\n  12 -> 24 [size =\"41374720\"]\n  13 [size=\"72779776\", alpha=\"0.12\", expect_size=\"36389888\"] \n  13 -> 20 [size =\"36389888\"]\n  14 [size=\"60364800\", alpha=\"0.08\", expect_size=\"30182400\"] \n  14 -> 16 [size =\"30182400\"]\n  14 -> 17 [size =\"30182400\"]\n  15 [size=\"22626304\", alpha=\"0.01\", expect_size=\"11313152\"] \n  15 -> 16 [size =\"11313152\"]\n  15 -> 19 [size =\"11313152\"]\n  15 -> 23 [size =\"11313152\"]\n  15 -> 24 [size =\"11313152\"]\n  16 [size=\"21100544\", alpha=\"0.05\", expect_size=\"10550272\"] \n  16 -> 27 [size =\"10550272\"]\n  16 -> 33 [size =\"10550272\"]\n  16 -> 35 [size =\"10550272\"]\n  16 -> 37 [size =\"10550272\"]\n  16 -> 38 [size =\"10550272\"]\n  17 [size=\"22306816\", alpha=\"0.06\", expect_size=\"11153408\"] \n  17 -> 33 [size =\"11153408\"]\n  17 -> 34 [size =\"11153408\"]\n  17 -> 37 [size =\"11153408\"]\n  18 [size=\"96604160\", alpha=\"0.05\", expect_size=\"48302080\"] \n  18 -> 25 [size =\"48302080\"]\n  18 -> 26 [size =\"48302080\"]\n  18 -> 30 [size =\"48302080\"]\n  18 -> 33 [size =\"48302080\"]\n  18 -> 34 [size =\"48302080\"]\n  18 -> 35 [size =\"48302080\"]\n  19 [size=\"75524096\", alpha=\"0.10\", expect_size=\"37762048\"] \n  19 -> 26 [size =\"37762048\"]\n  19 -> 26 [size =\"37762048\"]\n  19 -> 28 [size =\"37762048\"]\n  19 -> 31 [size =\"37762048\"]\n  19 -> 32 [size =\"37762048\"]\n  19 -> 33 [size =\"37762048\"]\n  19 -> 36 [size =\"37762048\"]\n  20 [size=\"41371648\", alpha=\"0.15\", expect_size=\"20685824\"] \n  20 -> 26 [size =\"20685824\"]\n  20 -> 28 [size =\"20685824\"]\n  20 -> 29 [size =\"20685824\"]\n  20 -> 30 [size =\"20685824\"]\n  21 [size=\"67528704\", alpha=\"0.17\", expect_size=\"33764352\"] \n  21 -> 32 [size =\"33764352\"]\n  21 -> 35 [size =\"33764352\"]\n  22 [size=\"54937600\", alpha=\"0.17\", expect_size=\"27468800\"] \n  22 -> 25 [size =\"27468800\"]\n  22 -> 26 [size =\"27468800\"]\n  22 -> 35 [size =\"27468800\"]\n  23 [size=\"83324928\", alpha=\"0.20\", expect_size=\"41662464\"] \n  23 -> 25 [size =\"41662464\"]\n  23 -> 27 [size =\"41662464\"]\n  23 -> 30 [size =\"41662464\"]\n  23 -> 32 [size =\"41662464\"]\n  23 -> 34 [size =\"41662464\"]\n  23 -> 37 [size =\"41662464\"]\n  24 [size=\"46972928\", alpha=\"0.05\", expect_size=\"23486464\"] \n  24 -> 27 [size =\"23486464\"]\n  24 -> 28 [size =\"23486464\"]\n  24 -> 33 [size =\"23486464\"]\n  24 -> 34 [size =\"23486464\"]\n  24 -> 37 [size =\"23486464\"]\n  24 -> 38 [size =\"23486464\"]\n  25 [size=\"83052544\", alpha=\"0.10\", expect_size=\"41526272\"] \n  26 [size=\"85547008\", alpha=\"0.10\", expect_size=\"42773504\"] \n  26 -> 39 [size =\"42773504\"]\n  27 [size=\"13836288\", alpha=\"0.09\", expect_size=\"6918144\"] \n  28 [size=\"40519680\", alpha=\"0.16\", expect_size=\"20259840\"] \n  29 [size=\"62728192\", alpha=\"0.13\", expect_size=\"31364096\"] \n  30 [size=\"13334528\", alpha=\"0.20\", expect_size=\"6667264\"] \n  30 -> 39 [size =\"6667264\"]\n  31 [size=\"85622784\", alpha=\"0.18\", expect_size=\"42811392\"] \n  31 -> 40 [size =\"42811392\"]\n  32 [size=\"69865472\", alpha=\"0.11\", expect_size=\"34932736\"] \n  33 [size=\"54042624\", alpha=\"0.17\", expect_size=\"27021312\"] \n  34 [size=\"54001664\", alpha=\"0.14\", expect_size=\"27000832\"] \n  35 [size=\"78667776\", alpha=\"0.14\", expect_size=\"39333888\"] \n  36 [size=\"30050304\", alpha=\"0.16\", expect_size=\"15025152\"] \n  36 -> 39 [size =\"15025152\"]\n  36 -> 40 [size =\"15025152\"]\n  37 [size=\"79386624\", alpha=\"0.20\", expect_size=\"39693312\"] \n  37 -> 39 [size =\"39693312\"]\n  38 [size=\"29061120\", alpha=\"0.03\", expect_size=\"14530560\"] \n  39 [size=\"103444480\", alpha=\"0.19\", expect_size=\"51722240\"] \n  40 [size=\"72163328\", alpha=\"0.02\", expect_size=\"36081664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17524736\", alpha=\"0.06\", expect_size=\"8762368\"] \n  1 -> 2 [size =\"8762368\"]\n  2 [size=\"33327104\", alpha=\"0.11\", expect_size=\"16663552\"] \n  2 -> 3 [size =\"16663552\"]\n  3 [size=\"34740224\", alpha=\"0.14\", expect_size=\"17370112\"] \n  3 -> 4 [size =\"17370112\"]\n  4 [size=\"21999616\", alpha=\"0.11\", expect_size=\"10999808\"] \n  4 -> 5 [size =\"10999808\"]\n  5 [size=\"80021504\", alpha=\"0.07\", expect_size=\"40010752\"] \n  5 -> 6 [size =\"40010752\"]\n  6 [size=\"102545408\", alpha=\"0.04\", expect_size=\"51272704\"] \n  6 -> 7 [size =\"51272704\"]\n  7 [size=\"23093248\", alpha=\"0.11\", expect_size=\"11546624\"] \n  7 -> 8 [size =\"11546624\"]\n  8 [size=\"104105984\", alpha=\"0.06\", expect_size=\"52052992\"] \n  8 -> 9 [size =\"52052992\"]\n  9 [size=\"66361344\", alpha=\"0.13\", expect_size=\"33180672\"] \n  9 -> 10 [size =\"33180672\"]\n  10 [size=\"31238144\", alpha=\"0.01\", expect_size=\"15619072\"] \n  10 -> 11 [size =\"15619072\"]\n  11 [size=\"94377984\", alpha=\"0.02\", expect_size=\"47188992\"] \n  11 -> 12 [size =\"47188992\"]\n  12 [size=\"28510208\", alpha=\"0.07\", expect_size=\"14255104\"] \n  12 -> 13 [size =\"14255104\"]\n  13 [size=\"80125952\", alpha=\"0.09\", expect_size=\"40062976\"] \n  13 -> 14 [size =\"40062976\"]\n  14 [size=\"53014528\", alpha=\"0.03\", expect_size=\"26507264\"] \n  14 -> 15 [size =\"26507264\"]\n  15 [size=\"11757568\", alpha=\"0.14\", expect_size=\"5878784\"] \n  15 -> 16 [size =\"5878784\"]\n  16 [size=\"43640832\", alpha=\"0.11\", expect_size=\"21820416\"] \n  16 -> 17 [size =\"21820416\"]\n  17 [size=\"62347264\", alpha=\"0.03\", expect_size=\"31173632\"] \n  17 -> 18 [size =\"31173632\"]\n  18 [size=\"20191232\", alpha=\"0.11\", expect_size=\"10095616\"] \n  18 -> 19 [size =\"10095616\"]\n  19 [size=\"46620672\", alpha=\"0.01\", expect_size=\"23310336\"] \n  19 -> 20 [size =\"23310336\"]\n  20 [size=\"13549568\", alpha=\"0.12\", expect_size=\"6774784\"] \n  20 -> 21 [size =\"6774784\"]\n  21 [size=\"17129472\", alpha=\"0.04\", expect_size=\"8564736\"] \n  21 -> 22 [size =\"8564736\"]\n  22 [size=\"27435008\", alpha=\"0.01\", expect_size=\"13717504\"] \n  22 -> 23 [size =\"13717504\"]\n  23 [size=\"62726144\", alpha=\"0.03\", expect_size=\"31363072\"] \n  23 -> 24 [size =\"31363072\"]\n  24 [size=\"11595776\", alpha=\"0.07\", expect_size=\"5797888\"] \n  24 -> 25 [size =\"5797888\"]\n  25 [size=\"28061696\", alpha=\"0.07\", expect_size=\"14030848\"] \n  25 -> 26 [size =\"14030848\"]\n  26 [size=\"93671424\", alpha=\"0.05\", expect_size=\"46835712\"] \n  26 -> 27 [size =\"46835712\"]\n  27 [size=\"50620416\", alpha=\"0.07\", expect_size=\"25310208\"] \n  27 -> 28 [size =\"25310208\"]\n  28 [size=\"62566400\", alpha=\"0.08\", expect_size=\"31283200\"] \n  28 -> 29 [size =\"31283200\"]\n  29 [size=\"19038208\", alpha=\"0.01\", expect_size=\"9519104\"] \n  29 -> 30 [size =\"9519104\"]\n  30 [size=\"24252416\", alpha=\"0.19\", expect_size=\"12126208\"] \n  30 -> 31 [size =\"12126208\"]\n  31 [size=\"79523840\", alpha=\"0.14\", expect_size=\"39761920\"] \n  31 -> 32 [size =\"39761920\"]\n  32 [size=\"97517568\", alpha=\"0.13\", expect_size=\"48758784\"] \n  32 -> 33 [size =\"48758784\"]\n  33 [size=\"101074944\", alpha=\"0.07\", expect_size=\"50537472\"] \n  33 -> 34 [size =\"50537472\"]\n  34 [size=\"20084736\", alpha=\"0.10\", expect_size=\"10042368\"] \n  34 -> 35 [size =\"10042368\"]\n  35 [size=\"54800384\", alpha=\"0.13\", expect_size=\"27400192\"] \n  35 -> 36 [size =\"27400192\"]\n  36 [size=\"86020096\", alpha=\"0.03\", expect_size=\"43010048\"] \n  36 -> 37 [size =\"43010048\"]\n  37 [size=\"17057792\", alpha=\"0.04\", expect_size=\"8528896\"] \n  37 -> 38 [size =\"8528896\"]\n  38 [size=\"49264640\", alpha=\"0.08\", expect_size=\"24632320\"] \n  38 -> 39 [size =\"24632320\"]\n  39 [size=\"87521280\", alpha=\"0.19\", expect_size=\"43760640\"] \n  39 -> 40 [size =\"43760640\"]\n  40 [size=\"93329408\", alpha=\"0.10\", expect_size=\"46664704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43108352\", alpha=\"0.00\", expect_size=\"21554176\"] \n  1 -> 24 [size =\"21554176\"]\n  1 -> 25 [size =\"21554176\"]\n  1 -> 26 [size =\"21554176\"]\n  1 -> 30 [size =\"21554176\"]\n  1 -> 33 [size =\"21554176\"]\n  1 -> 34 [size =\"21554176\"]\n  1 -> 38 [size =\"21554176\"]\n  1 -> 40 [size =\"21554176\"]\n  2 [size=\"101810176\", alpha=\"0.02\", expect_size=\"50905088\"] \n  2 -> 24 [size =\"50905088\"]\n  2 -> 25 [size =\"50905088\"]\n  2 -> 26 [size =\"50905088\"]\n  2 -> 27 [size =\"50905088\"]\n  2 -> 28 [size =\"50905088\"]\n  2 -> 30 [size =\"50905088\"]\n  2 -> 34 [size =\"50905088\"]\n  2 -> 35 [size =\"50905088\"]\n  2 -> 37 [size =\"50905088\"]\n  2 -> 38 [size =\"50905088\"]\n  3 [size=\"24637440\", alpha=\"0.04\", expect_size=\"12318720\"] \n  3 -> 25 [size =\"12318720\"]\n  3 -> 28 [size =\"12318720\"]\n  3 -> 29 [size =\"12318720\"]\n  3 -> 30 [size =\"12318720\"]\n  3 -> 31 [size =\"12318720\"]\n  3 -> 33 [size =\"12318720\"]\n  3 -> 34 [size =\"12318720\"]\n  3 -> 36 [size =\"12318720\"]\n  3 -> 37 [size =\"12318720\"]\n  3 -> 38 [size =\"12318720\"]\n  4 [size=\"53315584\", alpha=\"0.16\", expect_size=\"26657792\"] \n  4 -> 25 [size =\"26657792\"]\n  4 -> 28 [size =\"26657792\"]\n  4 -> 29 [size =\"26657792\"]\n  4 -> 30 [size =\"26657792\"]\n  4 -> 31 [size =\"26657792\"]\n  4 -> 33 [size =\"26657792\"]\n  4 -> 34 [size =\"26657792\"]\n  4 -> 36 [size =\"26657792\"]\n  4 -> 38 [size =\"26657792\"]\n  5 [size=\"31664128\", alpha=\"0.14\", expect_size=\"15832064\"] \n  5 -> 25 [size =\"15832064\"]\n  5 -> 28 [size =\"15832064\"]\n  5 -> 29 [size =\"15832064\"]\n  5 -> 31 [size =\"15832064\"]\n  5 -> 31 [size =\"15832064\"]\n  5 -> 33 [size =\"15832064\"]\n  5 -> 34 [size =\"15832064\"]\n  5 -> 40 [size =\"15832064\"]\n  6 [size=\"28379136\", alpha=\"0.09\", expect_size=\"14189568\"] \n  6 -> 28 [size =\"14189568\"]\n  6 -> 29 [size =\"14189568\"]\n  6 -> 33 [size =\"14189568\"]\n  6 -> 34 [size =\"14189568\"]\n  6 -> 35 [size =\"14189568\"]\n  6 -> 38 [size =\"14189568\"]\n  6 -> 40 [size =\"14189568\"]\n  7 [size=\"103829504\", alpha=\"0.04\", expect_size=\"51914752\"] \n  7 -> 25 [size =\"51914752\"]\n  7 -> 26 [size =\"51914752\"]\n  7 -> 28 [size =\"51914752\"]\n  7 -> 29 [size =\"51914752\"]\n  7 -> 30 [size =\"51914752\"]\n  7 -> 33 [size =\"51914752\"]\n  7 -> 34 [size =\"51914752\"]\n  7 -> 36 [size =\"51914752\"]\n  8 [size=\"58638336\", alpha=\"0.06\", expect_size=\"29319168\"] \n  8 -> 25 [size =\"29319168\"]\n  8 -> 28 [size =\"29319168\"]\n  8 -> 29 [size =\"29319168\"]\n  8 -> 29 [size =\"29319168\"]\n  8 -> 30 [size =\"29319168\"]\n  8 -> 33 [size =\"29319168\"]\n  8 -> 34 [size =\"29319168\"]\n  8 -> 37 [size =\"29319168\"]\n  8 -> 38 [size =\"29319168\"]\n  9 [size=\"83296256\", alpha=\"0.08\", expect_size=\"41648128\"] \n  9 -> 25 [size =\"41648128\"]\n  9 -> 26 [size =\"41648128\"]\n  9 -> 28 [size =\"41648128\"]\n  9 -> 30 [size =\"41648128\"]\n  9 -> 33 [size =\"41648128\"]\n  9 -> 33 [size =\"41648128\"]\n  9 -> 34 [size =\"41648128\"]\n  9 -> 36 [size =\"41648128\"]\n  9 -> 38 [size =\"41648128\"]\n  9 -> 40 [size =\"41648128\"]\n  10 [size=\"102289408\", alpha=\"0.15\", expect_size=\"51144704\"] \n  10 -> 25 [size =\"51144704\"]\n  10 -> 26 [size =\"51144704\"]\n  10 -> 29 [size =\"51144704\"]\n  10 -> 30 [size =\"51144704\"]\n  10 -> 32 [size =\"51144704\"]\n  10 -> 33 [size =\"51144704\"]\n  10 -> 34 [size =\"51144704\"]\n  10 -> 36 [size =\"51144704\"]\n  10 -> 38 [size =\"51144704\"]\n  11 [size=\"73617408\", alpha=\"0.03\", expect_size=\"36808704\"] \n  11 -> 24 [size =\"36808704\"]\n  11 -> 25 [size =\"36808704\"]\n  11 -> 27 [size =\"36808704\"]\n  11 -> 29 [size =\"36808704\"]\n  11 -> 30 [size =\"36808704\"]\n  11 -> 31 [size =\"36808704\"]\n  11 -> 34 [size =\"36808704\"]\n  11 -> 36 [size =\"36808704\"]\n  11 -> 39 [size =\"36808704\"]\n  12 [size=\"74463232\", alpha=\"0.06\", expect_size=\"37231616\"] \n  12 -> 25 [size =\"37231616\"]\n  12 -> 25 [size =\"37231616\"]\n  12 -> 26 [size =\"37231616\"]\n  12 -> 29 [size =\"37231616\"]\n  12 -> 30 [size =\"37231616\"]\n  12 -> 34 [size =\"37231616\"]\n  12 -> 34 [size =\"37231616\"]\n  12 -> 35 [size =\"37231616\"]\n  12 -> 36 [size =\"37231616\"]\n  12 -> 37 [size =\"37231616\"]\n  12 -> 38 [size =\"37231616\"]\n  13 [size=\"84566016\", alpha=\"0.00\", expect_size=\"42283008\"] \n  13 -> 25 [size =\"42283008\"]\n  13 -> 26 [size =\"42283008\"]\n  13 -> 27 [size =\"42283008\"]\n  13 -> 29 [size =\"42283008\"]\n  13 -> 30 [size =\"42283008\"]\n  13 -> 31 [size =\"42283008\"]\n  13 -> 33 [size =\"42283008\"]\n  13 -> 36 [size =\"42283008\"]\n  13 -> 37 [size =\"42283008\"]\n  13 -> 37 [size =\"42283008\"]\n  14 [size=\"103434240\", alpha=\"0.10\", expect_size=\"51717120\"] \n  14 -> 25 [size =\"51717120\"]\n  14 -> 30 [size =\"51717120\"]\n  14 -> 31 [size =\"51717120\"]\n  14 -> 32 [size =\"51717120\"]\n  14 -> 34 [size =\"51717120\"]\n  14 -> 36 [size =\"51717120\"]\n  14 -> 37 [size =\"51717120\"]\n  15 [size=\"84107264\", alpha=\"0.08\", expect_size=\"42053632\"] \n  15 -> 24 [size =\"42053632\"]\n  15 -> 25 [size =\"42053632\"]\n  15 -> 26 [size =\"42053632\"]\n  15 -> 30 [size =\"42053632\"]\n  15 -> 33 [size =\"42053632\"]\n  15 -> 35 [size =\"42053632\"]\n  15 -> 36 [size =\"42053632\"]\n  15 -> 37 [size =\"42053632\"]\n  15 -> 40 [size =\"42053632\"]\n  16 [size=\"54007808\", alpha=\"0.13\", expect_size=\"27003904\"] \n  16 -> 24 [size =\"27003904\"]\n  16 -> 25 [size =\"27003904\"]\n  16 -> 26 [size =\"27003904\"]\n  16 -> 29 [size =\"27003904\"]\n  16 -> 33 [size =\"27003904\"]\n  16 -> 36 [size =\"27003904\"]\n  16 -> 37 [size =\"27003904\"]\n  17 [size=\"96880640\", alpha=\"0.08\", expect_size=\"48440320\"] \n  17 -> 24 [size =\"48440320\"]\n  17 -> 25 [size =\"48440320\"]\n  17 -> 30 [size =\"48440320\"]\n  17 -> 31 [size =\"48440320\"]\n  17 -> 33 [size =\"48440320\"]\n  17 -> 36 [size =\"48440320\"]\n  18 [size=\"22249472\", alpha=\"0.02\", expect_size=\"11124736\"] \n  18 -> 25 [size =\"11124736\"]\n  18 -> 27 [size =\"11124736\"]\n  18 -> 28 [size =\"11124736\"]\n  18 -> 29 [size =\"11124736\"]\n  18 -> 30 [size =\"11124736\"]\n  18 -> 33 [size =\"11124736\"]\n  18 -> 34 [size =\"11124736\"]\n  18 -> 36 [size =\"11124736\"]\n  18 -> 37 [size =\"11124736\"]\n  18 -> 38 [size =\"11124736\"]\n  19 [size=\"49246208\", alpha=\"0.03\", expect_size=\"24623104\"] \n  19 -> 28 [size =\"24623104\"]\n  19 -> 29 [size =\"24623104\"]\n  19 -> 33 [size =\"24623104\"]\n  19 -> 35 [size =\"24623104\"]\n  19 -> 36 [size =\"24623104\"]\n  19 -> 38 [size =\"24623104\"]\n  20 [size=\"88846336\", alpha=\"0.05\", expect_size=\"44423168\"] \n  20 -> 26 [size =\"44423168\"]\n  20 -> 29 [size =\"44423168\"]\n  20 -> 33 [size =\"44423168\"]\n  20 -> 34 [size =\"44423168\"]\n  20 -> 36 [size =\"44423168\"]\n  20 -> 37 [size =\"44423168\"]\n  20 -> 38 [size =\"44423168\"]\n  21 [size=\"63596544\", alpha=\"0.13\", expect_size=\"31798272\"] \n  21 -> 24 [size =\"31798272\"]\n  21 -> 25 [size =\"31798272\"]\n  21 -> 26 [size =\"31798272\"]\n  21 -> 28 [size =\"31798272\"]\n  21 -> 30 [size =\"31798272\"]\n  21 -> 32 [size =\"31798272\"]\n  21 -> 33 [size =\"31798272\"]\n  21 -> 34 [size =\"31798272\"]\n  21 -> 36 [size =\"31798272\"]\n  21 -> 37 [size =\"31798272\"]\n  21 -> 38 [size =\"31798272\"]\n  22 [size=\"77625344\", alpha=\"0.02\", expect_size=\"38812672\"] \n  22 -> 25 [size =\"38812672\"]\n  22 -> 26 [size =\"38812672\"]\n  22 -> 28 [size =\"38812672\"]\n  22 -> 33 [size =\"38812672\"]\n  22 -> 36 [size =\"38812672\"]\n  22 -> 38 [size =\"38812672\"]\n  23 [size=\"104185856\", alpha=\"0.13\", expect_size=\"52092928\"] \n  23 -> 26 [size =\"52092928\"]\n  23 -> 27 [size =\"52092928\"]\n  23 -> 30 [size =\"52092928\"]\n  23 -> 32 [size =\"52092928\"]\n  23 -> 33 [size =\"52092928\"]\n  23 -> 34 [size =\"52092928\"]\n  23 -> 37 [size =\"52092928\"]\n  24 [size=\"11034624\", alpha=\"0.13\", expect_size=\"5517312\"] \n  25 [size=\"56762368\", alpha=\"0.17\", expect_size=\"28381184\"] \n  26 [size=\"96436224\", alpha=\"0.06\", expect_size=\"48218112\"] \n  27 [size=\"65628160\", alpha=\"0.14\", expect_size=\"32814080\"] \n  28 [size=\"103233536\", alpha=\"0.13\", expect_size=\"51616768\"] \n  29 [size=\"18085888\", alpha=\"0.06\", expect_size=\"9042944\"] \n  30 [size=\"32030720\", alpha=\"0.20\", expect_size=\"16015360\"] \n  31 [size=\"54528000\", alpha=\"0.06\", expect_size=\"27264000\"] \n  32 [size=\"23830528\", alpha=\"0.07\", expect_size=\"11915264\"] \n  33 [size=\"31262720\", alpha=\"0.03\", expect_size=\"15631360\"] \n  34 [size=\"90978304\", alpha=\"0.18\", expect_size=\"45489152\"] \n  35 [size=\"57063424\", alpha=\"0.10\", expect_size=\"28531712\"] \n  36 [size=\"45070336\", alpha=\"0.10\", expect_size=\"22535168\"] \n  37 [size=\"72890368\", alpha=\"0.09\", expect_size=\"36445184\"] \n  38 [size=\"45125632\", alpha=\"0.10\", expect_size=\"22562816\"] \n  39 [size=\"104304640\", alpha=\"0.20\", expect_size=\"52152320\"] \n  40 [size=\"40118272\", alpha=\"0.06\", expect_size=\"20059136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116984320\", alpha=\"0.07\", expect_size=\"46793728\"] \n  1 -> 10 [size =\"46793728\"]\n  1 -> 11 [size =\"46793728\"]\n  1 -> 14 [size =\"46793728\"]\n  1 -> 15 [size =\"46793728\"]\n  1 -> 20 [size =\"46793728\"]\n  2 [size=\"36843520\", alpha=\"0.18\", expect_size=\"14737408\"] \n  2 -> 11 [size =\"14737408\"]\n  2 -> 14 [size =\"14737408\"]\n  2 -> 14 [size =\"14737408\"]\n  2 -> 15 [size =\"14737408\"]\n  2 -> 16 [size =\"14737408\"]\n  2 -> 18 [size =\"14737408\"]\n  2 -> 19 [size =\"14737408\"]\n  2 -> 20 [size =\"14737408\"]\n  2 -> 22 [size =\"14737408\"]\n  3 [size=\"39485440\", alpha=\"0.16\", expect_size=\"15794176\"] \n  3 -> 11 [size =\"15794176\"]\n  3 -> 15 [size =\"15794176\"]\n  3 -> 19 [size =\"15794176\"]\n  3 -> 21 [size =\"15794176\"]\n  4 [size=\"60789760\", alpha=\"0.17\", expect_size=\"24315904\"] \n  4 -> 14 [size =\"24315904\"]\n  4 -> 15 [size =\"24315904\"]\n  4 -> 17 [size =\"24315904\"]\n  4 -> 19 [size =\"24315904\"]\n  4 -> 21 [size =\"24315904\"]\n  5 [size=\"19069440\", alpha=\"0.13\", expect_size=\"7627776\"] \n  5 -> 10 [size =\"7627776\"]\n  5 -> 12 [size =\"7627776\"]\n  5 -> 13 [size =\"7627776\"]\n  5 -> 14 [size =\"7627776\"]\n  5 -> 15 [size =\"7627776\"]\n  5 -> 17 [size =\"7627776\"]\n  5 -> 18 [size =\"7627776\"]\n  5 -> 19 [size =\"7627776\"]\n  6 [size=\"46748160\", alpha=\"0.17\", expect_size=\"18699264\"] \n  6 -> 10 [size =\"18699264\"]\n  6 -> 12 [size =\"18699264\"]\n  6 -> 13 [size =\"18699264\"]\n  6 -> 15 [size =\"18699264\"]\n  6 -> 17 [size =\"18699264\"]\n  6 -> 19 [size =\"18699264\"]\n  6 -> 20 [size =\"18699264\"]\n  6 -> 22 [size =\"18699264\"]\n  7 [size=\"86607360\", alpha=\"0.13\", expect_size=\"34642944\"] \n  7 -> 11 [size =\"34642944\"]\n  7 -> 13 [size =\"34642944\"]\n  7 -> 14 [size =\"34642944\"]\n  7 -> 18 [size =\"34642944\"]\n  7 -> 19 [size =\"34642944\"]\n  7 -> 19 [size =\"34642944\"]\n  7 -> 20 [size =\"34642944\"]\n  7 -> 22 [size =\"34642944\"]\n  8 [size=\"43092480\", alpha=\"0.19\", expect_size=\"17236992\"] \n  8 -> 11 [size =\"17236992\"]\n  8 -> 13 [size =\"17236992\"]\n  8 -> 14 [size =\"17236992\"]\n  8 -> 17 [size =\"17236992\"]\n  8 -> 18 [size =\"17236992\"]\n  8 -> 21 [size =\"17236992\"]\n  9 [size=\"26741760\", alpha=\"0.07\", expect_size=\"10696704\"] \n  9 -> 11 [size =\"10696704\"]\n  9 -> 13 [size =\"10696704\"]\n  9 -> 14 [size =\"10696704\"]\n  9 -> 15 [size =\"10696704\"]\n  9 -> 18 [size =\"10696704\"]\n  9 -> 19 [size =\"10696704\"]\n  9 -> 20 [size =\"10696704\"]\n  9 -> 21 [size =\"10696704\"]\n  9 -> 22 [size =\"10696704\"]\n  10 [size=\"30423040\", alpha=\"0.16\", expect_size=\"12169216\"] \n  10 -> 23 [size =\"12169216\"]\n  10 -> 25 [size =\"12169216\"]\n  10 -> 26 [size =\"12169216\"]\n  10 -> 27 [size =\"12169216\"]\n  10 -> 32 [size =\"12169216\"]\n  10 -> 34 [size =\"12169216\"]\n  11 [size=\"37301760\", alpha=\"0.14\", expect_size=\"14920704\"] \n  11 -> 23 [size =\"14920704\"]\n  11 -> 26 [size =\"14920704\"]\n  11 -> 26 [size =\"14920704\"]\n  11 -> 27 [size =\"14920704\"]\n  11 -> 31 [size =\"14920704\"]\n  11 -> 33 [size =\"14920704\"]\n  12 [size=\"79429120\", alpha=\"0.09\", expect_size=\"31771648\"] \n  12 -> 23 [size =\"31771648\"]\n  12 -> 26 [size =\"31771648\"]\n  12 -> 30 [size =\"31771648\"]\n  12 -> 31 [size =\"31771648\"]\n  12 -> 33 [size =\"31771648\"]\n  12 -> 33 [size =\"31771648\"]\n  13 [size=\"68049920\", alpha=\"0.15\", expect_size=\"27219968\"] \n  13 -> 30 [size =\"27219968\"]\n  13 -> 31 [size =\"27219968\"]\n  13 -> 33 [size =\"27219968\"]\n  13 -> 34 [size =\"27219968\"]\n  14 [size=\"41812480\", alpha=\"0.09\", expect_size=\"16724992\"] \n  14 -> 27 [size =\"16724992\"]\n  14 -> 31 [size =\"16724992\"]\n  15 [size=\"25210880\", alpha=\"0.04\", expect_size=\"10084352\"] \n  15 -> 25 [size =\"10084352\"]\n  15 -> 29 [size =\"10084352\"]\n  15 -> 30 [size =\"10084352\"]\n  15 -> 33 [size =\"10084352\"]\n  16 [size=\"101268480\", alpha=\"0.07\", expect_size=\"40507392\"] \n  16 -> 23 [size =\"40507392\"]\n  16 -> 25 [size =\"40507392\"]\n  16 -> 26 [size =\"40507392\"]\n  16 -> 27 [size =\"40507392\"]\n  16 -> 31 [size =\"40507392\"]\n  16 -> 33 [size =\"40507392\"]\n  16 -> 34 [size =\"40507392\"]\n  17 [size=\"82378240\", alpha=\"0.12\", expect_size=\"32951296\"] \n  17 -> 28 [size =\"32951296\"]\n  17 -> 33 [size =\"32951296\"]\n  18 [size=\"43041280\", alpha=\"0.06\", expect_size=\"17216512\"] \n  18 -> 23 [size =\"17216512\"]\n  18 -> 25 [size =\"17216512\"]\n  18 -> 26 [size =\"17216512\"]\n  18 -> 29 [size =\"17216512\"]\n  18 -> 31 [size =\"17216512\"]\n  18 -> 32 [size =\"17216512\"]\n  18 -> 33 [size =\"17216512\"]\n  19 [size=\"37265920\", alpha=\"0.18\", expect_size=\"14906368\"] \n  19 -> 23 [size =\"14906368\"]\n  19 -> 26 [size =\"14906368\"]\n  19 -> 27 [size =\"14906368\"]\n  19 -> 31 [size =\"14906368\"]\n  19 -> 31 [size =\"14906368\"]\n  19 -> 33 [size =\"14906368\"]\n  19 -> 33 [size =\"14906368\"]\n  20 [size=\"76794880\", alpha=\"0.01\", expect_size=\"30717952\"] \n  20 -> 23 [size =\"30717952\"]\n  20 -> 27 [size =\"30717952\"]\n  20 -> 27 [size =\"30717952\"]\n  20 -> 31 [size =\"30717952\"]\n  21 [size=\"51904000\", alpha=\"0.02\", expect_size=\"20761600\"] \n  21 -> 23 [size =\"20761600\"]\n  21 -> 24 [size =\"20761600\"]\n  21 -> 27 [size =\"20761600\"]\n  21 -> 30 [size =\"20761600\"]\n  21 -> 31 [size =\"20761600\"]\n  21 -> 34 [size =\"20761600\"]\n  22 [size=\"16742400\", alpha=\"0.06\", expect_size=\"6696960\"] \n  22 -> 23 [size =\"6696960\"]\n  22 -> 27 [size =\"6696960\"]\n  22 -> 27 [size =\"6696960\"]\n  22 -> 31 [size =\"6696960\"]\n  23 [size=\"71866880\", alpha=\"0.15\", expect_size=\"28746752\"] \n  23 -> 36 [size =\"28746752\"]\n  23 -> 37 [size =\"28746752\"]\n  23 -> 39 [size =\"28746752\"]\n  24 [size=\"42411520\", alpha=\"0.12\", expect_size=\"16964608\"] \n  24 -> 36 [size =\"16964608\"]\n  24 -> 37 [size =\"16964608\"]\n  24 -> 38 [size =\"16964608\"]\n  24 -> 39 [size =\"16964608\"]\n  24 -> 40 [size =\"16964608\"]\n  25 [size=\"97208320\", alpha=\"0.10\", expect_size=\"38883328\"] \n  25 -> 36 [size =\"38883328\"]\n  25 -> 37 [size =\"38883328\"]\n  26 [size=\"119692800\", alpha=\"0.14\", expect_size=\"47877120\"] \n  26 -> 35 [size =\"47877120\"]\n  26 -> 37 [size =\"47877120\"]\n  26 -> 38 [size =\"47877120\"]\n  27 [size=\"41136640\", alpha=\"0.10\", expect_size=\"16454656\"] \n  27 -> 35 [size =\"16454656\"]\n  27 -> 36 [size =\"16454656\"]\n  27 -> 37 [size =\"16454656\"]\n  27 -> 38 [size =\"16454656\"]\n  28 [size=\"111695360\", alpha=\"0.12\", expect_size=\"44678144\"] \n  28 -> 36 [size =\"44678144\"]\n  28 -> 37 [size =\"44678144\"]\n  28 -> 38 [size =\"44678144\"]\n  28 -> 39 [size =\"44678144\"]\n  29 [size=\"29478400\", alpha=\"0.15\", expect_size=\"11791360\"] \n  29 -> 36 [size =\"11791360\"]\n  30 [size=\"20039680\", alpha=\"0.02\", expect_size=\"8015872\"] \n  30 -> 36 [size =\"8015872\"]\n  30 -> 37 [size =\"8015872\"]\n  31 [size=\"27399680\", alpha=\"0.12\", expect_size=\"10959872\"] \n  32 [size=\"37468160\", alpha=\"0.14\", expect_size=\"14987264\"] \n  32 -> 36 [size =\"14987264\"]\n  32 -> 37 [size =\"14987264\"]\n  33 [size=\"73984000\", alpha=\"0.05\", expect_size=\"29593600\"] \n  33 -> 35 [size =\"29593600\"]\n  33 -> 37 [size =\"29593600\"]\n  34 [size=\"45360640\", alpha=\"0.02\", expect_size=\"18144256\"] \n  34 -> 37 [size =\"18144256\"]\n  35 [size=\"117245440\", alpha=\"0.20\", expect_size=\"46898176\"] \n  36 [size=\"59676160\", alpha=\"0.13\", expect_size=\"23870464\"] \n  37 [size=\"24258560\", alpha=\"0.18\", expect_size=\"9703424\"] \n  38 [size=\"84492800\", alpha=\"0.07\", expect_size=\"33797120\"] \n  39 [size=\"34439680\", alpha=\"0.01\", expect_size=\"13775872\"] \n  40 [size=\"123665920\", alpha=\"0.06\", expect_size=\"49466368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155337387\", alpha=\"0.19\", expect_size=\"46601216\"] \n  1 -> 2 [size =\"46601216\"]\n  2 [size=\"88709120\", alpha=\"0.13\", expect_size=\"26612736\"] \n  2 -> 3 [size =\"26612736\"]\n  3 [size=\"53179733\", alpha=\"0.08\", expect_size=\"15953920\"] \n  3 -> 4 [size =\"15953920\"]\n  4 [size=\"57285973\", alpha=\"0.03\", expect_size=\"17185792\"] \n  4 -> 5 [size =\"17185792\"]\n  5 [size=\"126880427\", alpha=\"0.03\", expect_size=\"38064128\"] \n  5 -> 6 [size =\"38064128\"]\n  6 [size=\"145575253\", alpha=\"0.16\", expect_size=\"43672576\"] \n  6 -> 7 [size =\"43672576\"]\n  7 [size=\"119463253\", alpha=\"0.00\", expect_size=\"35838976\"] \n  7 -> 8 [size =\"35838976\"]\n  8 [size=\"128522240\", alpha=\"0.02\", expect_size=\"38556672\"] \n  8 -> 9 [size =\"38556672\"]\n  9 [size=\"67949227\", alpha=\"0.08\", expect_size=\"20384768\"] \n  9 -> 10 [size =\"20384768\"]\n  10 [size=\"62788267\", alpha=\"0.11\", expect_size=\"18836480\"] \n  10 -> 11 [size =\"18836480\"]\n  11 [size=\"116377600\", alpha=\"0.18\", expect_size=\"34913280\"] \n  11 -> 12 [size =\"34913280\"]\n  12 [size=\"107584853\", alpha=\"0.05\", expect_size=\"32275456\"] \n  12 -> 13 [size =\"32275456\"]\n  13 [size=\"50537813\", alpha=\"0.10\", expect_size=\"15161344\"] \n  13 -> 14 [size =\"15161344\"]\n  14 [size=\"111377067\", alpha=\"0.07\", expect_size=\"33413120\"] \n  14 -> 15 [size =\"33413120\"]\n  15 [size=\"137898667\", alpha=\"0.05\", expect_size=\"41369600\"] \n  15 -> 16 [size =\"41369600\"]\n  16 [size=\"164194987\", alpha=\"0.17\", expect_size=\"49258496\"] \n  16 -> 17 [size =\"49258496\"]\n  17 [size=\"129914880\", alpha=\"0.04\", expect_size=\"38974464\"] \n  17 -> 18 [size =\"38974464\"]\n  18 [size=\"132273493\", alpha=\"0.13\", expect_size=\"39682048\"] \n  18 -> 19 [size =\"39682048\"]\n  19 [size=\"147517440\", alpha=\"0.15\", expect_size=\"44255232\"] \n  19 -> 20 [size =\"44255232\"]\n  20 [size=\"56971947\", alpha=\"0.04\", expect_size=\"17091584\"] \n  20 -> 21 [size =\"17091584\"]\n  21 [size=\"141789867\", alpha=\"0.11\", expect_size=\"42536960\"] \n  21 -> 22 [size =\"42536960\"]\n  22 [size=\"124835840\", alpha=\"0.06\", expect_size=\"37450752\"] \n  22 -> 23 [size =\"37450752\"]\n  23 [size=\"163778560\", alpha=\"0.06\", expect_size=\"49133568\"] \n  23 -> 24 [size =\"49133568\"]\n  24 [size=\"86777173\", alpha=\"0.12\", expect_size=\"26033152\"] \n  24 -> 25 [size =\"26033152\"]\n  25 [size=\"145708373\", alpha=\"0.11\", expect_size=\"43712512\"] \n  25 -> 26 [size =\"43712512\"]\n  26 [size=\"29149867\", alpha=\"0.06\", expect_size=\"8744960\"] \n  26 -> 27 [size =\"8744960\"]\n  27 [size=\"162170880\", alpha=\"0.14\", expect_size=\"48651264\"] \n  27 -> 28 [size =\"48651264\"]\n  28 [size=\"39669760\", alpha=\"0.17\", expect_size=\"11900928\"] \n  28 -> 29 [size =\"11900928\"]\n  29 [size=\"138932907\", alpha=\"0.06\", expect_size=\"41679872\"] \n  29 -> 30 [size =\"41679872\"]\n  30 [size=\"103007573\", alpha=\"0.00\", expect_size=\"30902272\"] \n  30 -> 31 [size =\"30902272\"]\n  31 [size=\"137451520\", alpha=\"0.07\", expect_size=\"41235456\"] \n  31 -> 32 [size =\"41235456\"]\n  32 [size=\"65556480\", alpha=\"0.06\", expect_size=\"19666944\"] \n  32 -> 33 [size =\"19666944\"]\n  33 [size=\"115845120\", alpha=\"0.09\", expect_size=\"34753536\"] \n  33 -> 34 [size =\"34753536\"]\n  34 [size=\"166734507\", alpha=\"0.04\", expect_size=\"50020352\"] \n  34 -> 35 [size =\"50020352\"]\n  35 [size=\"100754773\", alpha=\"0.14\", expect_size=\"30226432\"] \n  35 -> 36 [size =\"30226432\"]\n  36 [size=\"27306667\", alpha=\"0.03\", expect_size=\"8192000\"] \n  36 -> 37 [size =\"8192000\"]\n  37 [size=\"74492587\", alpha=\"0.06\", expect_size=\"22347776\"] \n  37 -> 38 [size =\"22347776\"]\n  38 [size=\"29726720\", alpha=\"0.03\", expect_size=\"8918016\"] \n  38 -> 39 [size =\"8918016\"]\n  39 [size=\"161348267\", alpha=\"0.17\", expect_size=\"48404480\"] \n  39 -> 40 [size =\"48404480\"]\n  40 [size=\"47967573\", alpha=\"0.17\", expect_size=\"14390272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32355840\", alpha=\"0.02\", expect_size=\"12942336\"] \n  1 -> 28 [size =\"12942336\"]\n  1 -> 29 [size =\"12942336\"]\n  1 -> 32 [size =\"12942336\"]\n  1 -> 34 [size =\"12942336\"]\n  1 -> 37 [size =\"12942336\"]\n  2 [size=\"106839040\", alpha=\"0.18\", expect_size=\"42735616\"] \n  2 -> 28 [size =\"42735616\"]\n  2 -> 32 [size =\"42735616\"]\n  2 -> 32 [size =\"42735616\"]\n  2 -> 34 [size =\"42735616\"]\n  2 -> 35 [size =\"42735616\"]\n  2 -> 39 [size =\"42735616\"]\n  2 -> 40 [size =\"42735616\"]\n  3 [size=\"129328640\", alpha=\"0.05\", expect_size=\"51731456\"] \n  3 -> 28 [size =\"51731456\"]\n  3 -> 29 [size =\"51731456\"]\n  3 -> 30 [size =\"51731456\"]\n  3 -> 32 [size =\"51731456\"]\n  3 -> 34 [size =\"51731456\"]\n  3 -> 36 [size =\"51731456\"]\n  3 -> 37 [size =\"51731456\"]\n  4 [size=\"63595520\", alpha=\"0.12\", expect_size=\"25438208\"] \n  4 -> 28 [size =\"25438208\"]\n  4 -> 32 [size =\"25438208\"]\n  4 -> 33 [size =\"25438208\"]\n  4 -> 36 [size =\"25438208\"]\n  5 [size=\"93012480\", alpha=\"0.05\", expect_size=\"37204992\"] \n  5 -> 30 [size =\"37204992\"]\n  5 -> 32 [size =\"37204992\"]\n  5 -> 36 [size =\"37204992\"]\n  5 -> 36 [size =\"37204992\"]\n  5 -> 37 [size =\"37204992\"]\n  5 -> 38 [size =\"37204992\"]\n  5 -> 39 [size =\"37204992\"]\n  6 [size=\"46036480\", alpha=\"0.09\", expect_size=\"18414592\"] \n  6 -> 27 [size =\"18414592\"]\n  6 -> 31 [size =\"18414592\"]\n  6 -> 32 [size =\"18414592\"]\n  6 -> 33 [size =\"18414592\"]\n  6 -> 34 [size =\"18414592\"]\n  6 -> 36 [size =\"18414592\"]\n  6 -> 37 [size =\"18414592\"]\n  7 [size=\"63585280\", alpha=\"0.19\", expect_size=\"25434112\"] \n  7 -> 28 [size =\"25434112\"]\n  7 -> 31 [size =\"25434112\"]\n  7 -> 32 [size =\"25434112\"]\n  7 -> 33 [size =\"25434112\"]\n  7 -> 36 [size =\"25434112\"]\n  7 -> 37 [size =\"25434112\"]\n  8 [size=\"100684800\", alpha=\"0.13\", expect_size=\"40273920\"] \n  8 -> 28 [size =\"40273920\"]\n  8 -> 33 [size =\"40273920\"]\n  9 [size=\"76385280\", alpha=\"0.20\", expect_size=\"30554112\"] \n  9 -> 28 [size =\"30554112\"]\n  9 -> 32 [size =\"30554112\"]\n  9 -> 38 [size =\"30554112\"]\n  10 [size=\"55941120\", alpha=\"0.09\", expect_size=\"22376448\"] \n  10 -> 27 [size =\"22376448\"]\n  10 -> 29 [size =\"22376448\"]\n  10 -> 30 [size =\"22376448\"]\n  10 -> 31 [size =\"22376448\"]\n  10 -> 32 [size =\"22376448\"]\n  10 -> 37 [size =\"22376448\"]\n  10 -> 38 [size =\"22376448\"]\n  11 [size=\"76672000\", alpha=\"0.16\", expect_size=\"30668800\"] \n  11 -> 28 [size =\"30668800\"]\n  11 -> 30 [size =\"30668800\"]\n  11 -> 30 [size =\"30668800\"]\n  11 -> 32 [size =\"30668800\"]\n  11 -> 36 [size =\"30668800\"]\n  11 -> 38 [size =\"30668800\"]\n  11 -> 38 [size =\"30668800\"]\n  11 -> 39 [size =\"30668800\"]\n  12 [size=\"90165760\", alpha=\"0.02\", expect_size=\"36066304\"] \n  12 -> 30 [size =\"36066304\"]\n  12 -> 30 [size =\"36066304\"]\n  12 -> 31 [size =\"36066304\"]\n  12 -> 37 [size =\"36066304\"]\n  12 -> 39 [size =\"36066304\"]\n  13 [size=\"75845120\", alpha=\"0.16\", expect_size=\"30338048\"] \n  13 -> 33 [size =\"30338048\"]\n  14 [size=\"106324480\", alpha=\"0.14\", expect_size=\"42529792\"] \n  14 -> 29 [size =\"42529792\"]\n  14 -> 31 [size =\"42529792\"]\n  14 -> 32 [size =\"42529792\"]\n  14 -> 34 [size =\"42529792\"]\n  14 -> 36 [size =\"42529792\"]\n  14 -> 38 [size =\"42529792\"]\n  14 -> 39 [size =\"42529792\"]\n  15 [size=\"60055040\", alpha=\"0.08\", expect_size=\"24022016\"] \n  15 -> 30 [size =\"24022016\"]\n  15 -> 32 [size =\"24022016\"]\n  15 -> 35 [size =\"24022016\"]\n  15 -> 36 [size =\"24022016\"]\n  15 -> 39 [size =\"24022016\"]\n  16 [size=\"92252160\", alpha=\"0.06\", expect_size=\"36900864\"] \n  16 -> 30 [size =\"36900864\"]\n  16 -> 32 [size =\"36900864\"]\n  16 -> 33 [size =\"36900864\"]\n  17 [size=\"24783360\", alpha=\"0.07\", expect_size=\"9913344\"] \n  17 -> 27 [size =\"9913344\"]\n  17 -> 33 [size =\"9913344\"]\n  17 -> 37 [size =\"9913344\"]\n  17 -> 38 [size =\"9913344\"]\n  18 [size=\"16445440\", alpha=\"0.19\", expect_size=\"6578176\"] \n  18 -> 27 [size =\"6578176\"]\n  18 -> 28 [size =\"6578176\"]\n  18 -> 33 [size =\"6578176\"]\n  18 -> 34 [size =\"6578176\"]\n  18 -> 38 [size =\"6578176\"]\n  19 [size=\"94988800\", alpha=\"0.04\", expect_size=\"37995520\"] \n  19 -> 28 [size =\"37995520\"]\n  19 -> 30 [size =\"37995520\"]\n  19 -> 37 [size =\"37995520\"]\n  19 -> 38 [size =\"37995520\"]\n  19 -> 38 [size =\"37995520\"]\n  20 [size=\"92561920\", alpha=\"0.20\", expect_size=\"37024768\"] \n  20 -> 28 [size =\"37024768\"]\n  20 -> 30 [size =\"37024768\"]\n  20 -> 33 [size =\"37024768\"]\n  20 -> 37 [size =\"37024768\"]\n  20 -> 38 [size =\"37024768\"]\n  20 -> 39 [size =\"37024768\"]\n  21 [size=\"26887680\", alpha=\"0.19\", expect_size=\"10755072\"] \n  21 -> 30 [size =\"10755072\"]\n  21 -> 30 [size =\"10755072\"]\n  21 -> 36 [size =\"10755072\"]\n  21 -> 39 [size =\"10755072\"]\n  22 [size=\"119027200\", alpha=\"0.14\", expect_size=\"47610880\"] \n  22 -> 39 [size =\"47610880\"]\n  23 [size=\"128599040\", alpha=\"0.09\", expect_size=\"51439616\"] \n  23 -> 30 [size =\"51439616\"]\n  23 -> 31 [size =\"51439616\"]\n  23 -> 34 [size =\"51439616\"]\n  23 -> 36 [size =\"51439616\"]\n  24 [size=\"107614720\", alpha=\"0.12\", expect_size=\"43045888\"] \n  24 -> 36 [size =\"43045888\"]\n  24 -> 38 [size =\"43045888\"]\n  24 -> 39 [size =\"43045888\"]\n  25 [size=\"72632320\", alpha=\"0.09\", expect_size=\"29052928\"] \n  25 -> 31 [size =\"29052928\"]\n  25 -> 32 [size =\"29052928\"]\n  25 -> 34 [size =\"29052928\"]\n  25 -> 37 [size =\"29052928\"]\n  26 [size=\"119761920\", alpha=\"0.11\", expect_size=\"47904768\"] \n  26 -> 30 [size =\"47904768\"]\n  26 -> 31 [size =\"47904768\"]\n  26 -> 33 [size =\"47904768\"]\n  26 -> 34 [size =\"47904768\"]\n  26 -> 38 [size =\"47904768\"]\n  27 [size=\"38981120\", alpha=\"0.02\", expect_size=\"15592448\"] \n  28 [size=\"82608640\", alpha=\"0.08\", expect_size=\"33043456\"] \n  29 [size=\"76953600\", alpha=\"0.05\", expect_size=\"30781440\"] \n  30 [size=\"98403840\", alpha=\"0.08\", expect_size=\"39361536\"] \n  31 [size=\"95667200\", alpha=\"0.03\", expect_size=\"38266880\"] \n  32 [size=\"87997440\", alpha=\"0.11\", expect_size=\"35198976\"] \n  33 [size=\"51159040\", alpha=\"0.09\", expect_size=\"20463616\"] \n  34 [size=\"101378560\", alpha=\"0.03\", expect_size=\"40551424\"] \n  35 [size=\"53217280\", alpha=\"0.05\", expect_size=\"21286912\"] \n  36 [size=\"104542720\", alpha=\"0.01\", expect_size=\"41817088\"] \n  37 [size=\"52359680\", alpha=\"0.18\", expect_size=\"20943872\"] \n  38 [size=\"65108480\", alpha=\"0.16\", expect_size=\"26043392\"] \n  39 [size=\"112404480\", alpha=\"0.08\", expect_size=\"44961792\"] \n  40 [size=\"21598720\", alpha=\"0.14\", expect_size=\"8639488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35842048\", alpha=\"0.10\", expect_size=\"17921024\"] \n  1 -> 28 [size =\"17921024\"]\n  1 -> 30 [size =\"17921024\"]\n  1 -> 34 [size =\"17921024\"]\n  1 -> 35 [size =\"17921024\"]\n  1 -> 38 [size =\"17921024\"]\n  1 -> 39 [size =\"17921024\"]\n  2 [size=\"79990784\", alpha=\"0.19\", expect_size=\"39995392\"] \n  2 -> 30 [size =\"39995392\"]\n  2 -> 30 [size =\"39995392\"]\n  2 -> 34 [size =\"39995392\"]\n  2 -> 35 [size =\"39995392\"]\n  2 -> 38 [size =\"39995392\"]\n  2 -> 39 [size =\"39995392\"]\n  2 -> 40 [size =\"39995392\"]\n  3 [size=\"19599360\", alpha=\"0.16\", expect_size=\"9799680\"] \n  3 -> 30 [size =\"9799680\"]\n  3 -> 38 [size =\"9799680\"]\n  3 -> 39 [size =\"9799680\"]\n  4 [size=\"34291712\", alpha=\"0.04\", expect_size=\"17145856\"] \n  4 -> 28 [size =\"17145856\"]\n  4 -> 30 [size =\"17145856\"]\n  4 -> 33 [size =\"17145856\"]\n  4 -> 34 [size =\"17145856\"]\n  4 -> 38 [size =\"17145856\"]\n  4 -> 39 [size =\"17145856\"]\n  4 -> 40 [size =\"17145856\"]\n  5 [size=\"25692160\", alpha=\"0.03\", expect_size=\"12846080\"] \n  5 -> 28 [size =\"12846080\"]\n  5 -> 30 [size =\"12846080\"]\n  5 -> 34 [size =\"12846080\"]\n  5 -> 38 [size =\"12846080\"]\n  5 -> 38 [size =\"12846080\"]\n  5 -> 39 [size =\"12846080\"]\n  5 -> 40 [size =\"12846080\"]\n  6 [size=\"39583744\", alpha=\"0.15\", expect_size=\"19791872\"] \n  6 -> 28 [size =\"19791872\"]\n  6 -> 30 [size =\"19791872\"]\n  6 -> 34 [size =\"19791872\"]\n  6 -> 38 [size =\"19791872\"]\n  6 -> 39 [size =\"19791872\"]\n  7 [size=\"64593920\", alpha=\"0.17\", expect_size=\"32296960\"] \n  7 -> 28 [size =\"32296960\"]\n  7 -> 30 [size =\"32296960\"]\n  7 -> 31 [size =\"32296960\"]\n  7 -> 34 [size =\"32296960\"]\n  7 -> 38 [size =\"32296960\"]\n  7 -> 39 [size =\"32296960\"]\n  7 -> 40 [size =\"32296960\"]\n  8 [size=\"56295424\", alpha=\"0.12\", expect_size=\"28147712\"] \n  8 -> 28 [size =\"28147712\"]\n  8 -> 29 [size =\"28147712\"]\n  8 -> 30 [size =\"28147712\"]\n  8 -> 31 [size =\"28147712\"]\n  8 -> 34 [size =\"28147712\"]\n  8 -> 35 [size =\"28147712\"]\n  8 -> 39 [size =\"28147712\"]\n  9 [size=\"100775936\", alpha=\"0.13\", expect_size=\"50387968\"] \n  9 -> 30 [size =\"50387968\"]\n  9 -> 35 [size =\"50387968\"]\n  9 -> 37 [size =\"50387968\"]\n  9 -> 39 [size =\"50387968\"]\n  10 [size=\"104062976\", alpha=\"0.07\", expect_size=\"52031488\"] \n  10 -> 30 [size =\"52031488\"]\n  10 -> 32 [size =\"52031488\"]\n  10 -> 33 [size =\"52031488\"]\n  10 -> 34 [size =\"52031488\"]\n  10 -> 36 [size =\"52031488\"]\n  10 -> 37 [size =\"52031488\"]\n  10 -> 39 [size =\"52031488\"]\n  11 [size=\"57044992\", alpha=\"0.16\", expect_size=\"28522496\"] \n  11 -> 28 [size =\"28522496\"]\n  11 -> 34 [size =\"28522496\"]\n  11 -> 37 [size =\"28522496\"]\n  11 -> 39 [size =\"28522496\"]\n  11 -> 40 [size =\"28522496\"]\n  12 [size=\"102555648\", alpha=\"0.17\", expect_size=\"51277824\"] \n  12 -> 28 [size =\"51277824\"]\n  12 -> 34 [size =\"51277824\"]\n  12 -> 35 [size =\"51277824\"]\n  12 -> 37 [size =\"51277824\"]\n  12 -> 38 [size =\"51277824\"]\n  12 -> 39 [size =\"51277824\"]\n  12 -> 40 [size =\"51277824\"]\n  13 [size=\"99569664\", alpha=\"0.05\", expect_size=\"49784832\"] \n  13 -> 28 [size =\"49784832\"]\n  13 -> 37 [size =\"49784832\"]\n  13 -> 39 [size =\"49784832\"]\n  13 -> 40 [size =\"49784832\"]\n  14 [size=\"78510080\", alpha=\"0.09\", expect_size=\"39255040\"] \n  14 -> 28 [size =\"39255040\"]\n  14 -> 30 [size =\"39255040\"]\n  14 -> 31 [size =\"39255040\"]\n  14 -> 38 [size =\"39255040\"]\n  14 -> 39 [size =\"39255040\"]\n  14 -> 40 [size =\"39255040\"]\n  15 [size=\"98387968\", alpha=\"0.01\", expect_size=\"49193984\"] \n  15 -> 28 [size =\"49193984\"]\n  15 -> 30 [size =\"49193984\"]\n  15 -> 35 [size =\"49193984\"]\n  15 -> 39 [size =\"49193984\"]\n  15 -> 39 [size =\"49193984\"]\n  15 -> 40 [size =\"49193984\"]\n  16 [size=\"16785408\", alpha=\"0.07\", expect_size=\"8392704\"] \n  16 -> 28 [size =\"8392704\"]\n  16 -> 30 [size =\"8392704\"]\n  16 -> 33 [size =\"8392704\"]\n  16 -> 34 [size =\"8392704\"]\n  16 -> 37 [size =\"8392704\"]\n  16 -> 39 [size =\"8392704\"]\n  17 [size=\"87623680\", alpha=\"0.10\", expect_size=\"43811840\"] \n  17 -> 28 [size =\"43811840\"]\n  17 -> 37 [size =\"43811840\"]\n  17 -> 38 [size =\"43811840\"]\n  17 -> 39 [size =\"43811840\"]\n  17 -> 40 [size =\"43811840\"]\n  18 [size=\"71913472\", alpha=\"0.01\", expect_size=\"35956736\"] \n  18 -> 28 [size =\"35956736\"]\n  18 -> 30 [size =\"35956736\"]\n  18 -> 31 [size =\"35956736\"]\n  18 -> 37 [size =\"35956736\"]\n  18 -> 38 [size =\"35956736\"]\n  18 -> 39 [size =\"35956736\"]\n  18 -> 40 [size =\"35956736\"]\n  19 [size=\"36300800\", alpha=\"0.13\", expect_size=\"18150400\"] \n  19 -> 28 [size =\"18150400\"]\n  19 -> 29 [size =\"18150400\"]\n  19 -> 35 [size =\"18150400\"]\n  19 -> 37 [size =\"18150400\"]\n  19 -> 38 [size =\"18150400\"]\n  19 -> 39 [size =\"18150400\"]\n  19 -> 40 [size =\"18150400\"]\n  20 [size=\"98801664\", alpha=\"0.04\", expect_size=\"49400832\"] \n  20 -> 28 [size =\"49400832\"]\n  20 -> 31 [size =\"49400832\"]\n  20 -> 33 [size =\"49400832\"]\n  20 -> 37 [size =\"49400832\"]\n  20 -> 38 [size =\"49400832\"]\n  20 -> 39 [size =\"49400832\"]\n  21 [size=\"36734976\", alpha=\"0.20\", expect_size=\"18367488\"] \n  21 -> 28 [size =\"18367488\"]\n  21 -> 30 [size =\"18367488\"]\n  21 -> 31 [size =\"18367488\"]\n  21 -> 33 [size =\"18367488\"]\n  21 -> 34 [size =\"18367488\"]\n  21 -> 35 [size =\"18367488\"]\n  21 -> 37 [size =\"18367488\"]\n  21 -> 38 [size =\"18367488\"]\n  21 -> 39 [size =\"18367488\"]\n  21 -> 40 [size =\"18367488\"]\n  22 [size=\"19720192\", alpha=\"0.11\", expect_size=\"9860096\"] \n  22 -> 28 [size =\"9860096\"]\n  22 -> 31 [size =\"9860096\"]\n  22 -> 31 [size =\"9860096\"]\n  22 -> 37 [size =\"9860096\"]\n  22 -> 38 [size =\"9860096\"]\n  22 -> 39 [size =\"9860096\"]\n  23 [size=\"99100672\", alpha=\"0.03\", expect_size=\"49550336\"] \n  23 -> 30 [size =\"49550336\"]\n  23 -> 31 [size =\"49550336\"]\n  23 -> 32 [size =\"49550336\"]\n  23 -> 34 [size =\"49550336\"]\n  23 -> 37 [size =\"49550336\"]\n  23 -> 38 [size =\"49550336\"]\n  23 -> 39 [size =\"49550336\"]\n  23 -> 40 [size =\"49550336\"]\n  24 [size=\"28387328\", alpha=\"0.01\", expect_size=\"14193664\"] \n  24 -> 28 [size =\"14193664\"]\n  24 -> 30 [size =\"14193664\"]\n  24 -> 31 [size =\"14193664\"]\n  24 -> 32 [size =\"14193664\"]\n  24 -> 34 [size =\"14193664\"]\n  24 -> 37 [size =\"14193664\"]\n  24 -> 38 [size =\"14193664\"]\n  25 [size=\"69330944\", alpha=\"0.02\", expect_size=\"34665472\"] \n  25 -> 28 [size =\"34665472\"]\n  25 -> 30 [size =\"34665472\"]\n  25 -> 32 [size =\"34665472\"]\n  25 -> 34 [size =\"34665472\"]\n  25 -> 34 [size =\"34665472\"]\n  25 -> 37 [size =\"34665472\"]\n  25 -> 38 [size =\"34665472\"]\n  25 -> 40 [size =\"34665472\"]\n  26 [size=\"73897984\", alpha=\"0.09\", expect_size=\"36948992\"] \n  26 -> 30 [size =\"36948992\"]\n  26 -> 30 [size =\"36948992\"]\n  26 -> 33 [size =\"36948992\"]\n  26 -> 37 [size =\"36948992\"]\n  26 -> 38 [size =\"36948992\"]\n  26 -> 40 [size =\"36948992\"]\n  27 [size=\"12539904\", alpha=\"0.07\", expect_size=\"6269952\"] \n  27 -> 28 [size =\"6269952\"]\n  27 -> 30 [size =\"6269952\"]\n  27 -> 37 [size =\"6269952\"]\n  27 -> 37 [size =\"6269952\"]\n  27 -> 38 [size =\"6269952\"]\n  27 -> 39 [size =\"6269952\"]\n  27 -> 40 [size =\"6269952\"]\n  28 [size=\"60882944\", alpha=\"0.15\", expect_size=\"30441472\"] \n  29 [size=\"65906688\", alpha=\"0.03\", expect_size=\"32953344\"] \n  30 [size=\"35115008\", alpha=\"0.10\", expect_size=\"17557504\"] \n  31 [size=\"54050816\", alpha=\"0.07\", expect_size=\"27025408\"] \n  32 [size=\"53700608\", alpha=\"0.03\", expect_size=\"26850304\"] \n  33 [size=\"103571456\", alpha=\"0.19\", expect_size=\"51785728\"] \n  34 [size=\"24035328\", alpha=\"0.09\", expect_size=\"12017664\"] \n  35 [size=\"27639808\", alpha=\"0.17\", expect_size=\"13819904\"] \n  36 [size=\"35223552\", alpha=\"0.07\", expect_size=\"17611776\"] \n  37 [size=\"75882496\", alpha=\"0.13\", expect_size=\"37941248\"] \n  38 [size=\"14983168\", alpha=\"0.12\", expect_size=\"7491584\"] \n  39 [size=\"87078912\", alpha=\"0.17\", expect_size=\"43539456\"] \n  40 [size=\"99348480\", alpha=\"0.00\", expect_size=\"49674240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30017536\", alpha=\"0.16\", expect_size=\"15008768\"] \n  1 -> 10 [size =\"15008768\"]\n  1 -> 10 [size =\"15008768\"]\n  2 [size=\"17577984\", alpha=\"0.16\", expect_size=\"8788992\"] \n  2 -> 10 [size =\"8788992\"]\n  3 [size=\"71172096\", alpha=\"0.10\", expect_size=\"35586048\"] \n  3 -> 7 [size =\"35586048\"]\n  4 [size=\"89292800\", alpha=\"0.11\", expect_size=\"44646400\"] \n  4 -> 6 [size =\"44646400\"]\n  4 -> 8 [size =\"44646400\"]\n  4 -> 9 [size =\"44646400\"]\n  5 [size=\"30838784\", alpha=\"0.15\", expect_size=\"15419392\"] \n  5 -> 9 [size =\"15419392\"]\n  5 -> 10 [size =\"15419392\"]\n  6 [size=\"31670272\", alpha=\"0.02\", expect_size=\"15835136\"] \n  6 -> 12 [size =\"15835136\"]\n  7 [size=\"45604864\", alpha=\"0.17\", expect_size=\"22802432\"] \n  7 -> 11 [size =\"22802432\"]\n  7 -> 12 [size =\"22802432\"]\n  7 -> 13 [size =\"22802432\"]\n  7 -> 14 [size =\"22802432\"]\n  7 -> 15 [size =\"22802432\"]\n  8 [size=\"68425728\", alpha=\"0.05\", expect_size=\"34212864\"] \n  8 -> 11 [size =\"34212864\"]\n  8 -> 12 [size =\"34212864\"]\n  8 -> 13 [size =\"34212864\"]\n  8 -> 14 [size =\"34212864\"]\n  9 [size=\"99244032\", alpha=\"0.17\", expect_size=\"49622016\"] \n  9 -> 11 [size =\"49622016\"]\n  9 -> 13 [size =\"49622016\"]\n  9 -> 14 [size =\"49622016\"]\n  10 [size=\"84965376\", alpha=\"0.02\", expect_size=\"42482688\"] \n  10 -> 13 [size =\"42482688\"]\n  11 [size=\"90302464\", alpha=\"0.14\", expect_size=\"45151232\"] \n  11 -> 16 [size =\"45151232\"]\n  11 -> 19 [size =\"45151232\"]\n  11 -> 21 [size =\"45151232\"]\n  12 [size=\"70830080\", alpha=\"0.13\", expect_size=\"35415040\"] \n  12 -> 16 [size =\"35415040\"]\n  12 -> 17 [size =\"35415040\"]\n  12 -> 18 [size =\"35415040\"]\n  12 -> 19 [size =\"35415040\"]\n  12 -> 20 [size =\"35415040\"]\n  12 -> 21 [size =\"35415040\"]\n  13 [size=\"53069824\", alpha=\"0.04\", expect_size=\"26534912\"] \n  13 -> 16 [size =\"26534912\"]\n  13 -> 17 [size =\"26534912\"]\n  13 -> 20 [size =\"26534912\"]\n  13 -> 21 [size =\"26534912\"]\n  14 [size=\"99868672\", alpha=\"0.08\", expect_size=\"49934336\"] \n  14 -> 17 [size =\"49934336\"]\n  14 -> 19 [size =\"49934336\"]\n  14 -> 20 [size =\"49934336\"]\n  15 [size=\"59424768\", alpha=\"0.13\", expect_size=\"29712384\"] \n  15 -> 20 [size =\"29712384\"]\n  15 -> 21 [size =\"29712384\"]\n  16 [size=\"34521088\", alpha=\"0.03\", expect_size=\"17260544\"] \n  16 -> 22 [size =\"17260544\"]\n  16 -> 25 [size =\"17260544\"]\n  16 -> 26 [size =\"17260544\"]\n  17 [size=\"41885696\", alpha=\"0.04\", expect_size=\"20942848\"] \n  17 -> 26 [size =\"20942848\"]\n  18 [size=\"27164672\", alpha=\"0.19\", expect_size=\"13582336\"] \n  18 -> 22 [size =\"13582336\"]\n  18 -> 23 [size =\"13582336\"]\n  18 -> 27 [size =\"13582336\"]\n  18 -> 28 [size =\"13582336\"]\n  19 [size=\"49881088\", alpha=\"0.01\", expect_size=\"24940544\"] \n  19 -> 24 [size =\"24940544\"]\n  19 -> 28 [size =\"24940544\"]\n  20 [size=\"36503552\", alpha=\"0.18\", expect_size=\"18251776\"] \n  20 -> 27 [size =\"18251776\"]\n  21 [size=\"46112768\", alpha=\"0.18\", expect_size=\"23056384\"] \n  21 -> 22 [size =\"23056384\"]\n  21 -> 27 [size =\"23056384\"]\n  22 [size=\"15998976\", alpha=\"0.20\", expect_size=\"7999488\"] \n  22 -> 30 [size =\"7999488\"]\n  22 -> 32 [size =\"7999488\"]\n  22 -> 33 [size =\"7999488\"]\n  22 -> 34 [size =\"7999488\"]\n  23 [size=\"78946304\", alpha=\"0.15\", expect_size=\"39473152\"] \n  23 -> 32 [size =\"39473152\"]\n  23 -> 34 [size =\"39473152\"]\n  24 [size=\"97939456\", alpha=\"0.06\", expect_size=\"48969728\"] \n  24 -> 29 [size =\"48969728\"]\n  24 -> 32 [size =\"48969728\"]\n  24 -> 33 [size =\"48969728\"]\n  25 [size=\"40357888\", alpha=\"0.02\", expect_size=\"20178944\"] \n  25 -> 30 [size =\"20178944\"]\n  25 -> 31 [size =\"20178944\"]\n  25 -> 32 [size =\"20178944\"]\n  25 -> 34 [size =\"20178944\"]\n  26 [size=\"102797312\", alpha=\"0.02\", expect_size=\"51398656\"] \n  26 -> 30 [size =\"51398656\"]\n  26 -> 32 [size =\"51398656\"]\n  26 -> 34 [size =\"51398656\"]\n  26 -> 34 [size =\"51398656\"]\n  27 [size=\"23797760\", alpha=\"0.10\", expect_size=\"11898880\"] \n  27 -> 29 [size =\"11898880\"]\n  27 -> 30 [size =\"11898880\"]\n  28 [size=\"40361984\", alpha=\"0.10\", expect_size=\"20180992\"] \n  28 -> 30 [size =\"20180992\"]\n  28 -> 31 [size =\"20180992\"]\n  29 [size=\"34293760\", alpha=\"0.08\", expect_size=\"17146880\"] \n  29 -> 36 [size =\"17146880\"]\n  29 -> 37 [size =\"17146880\"]\n  29 -> 38 [size =\"17146880\"]\n  29 -> 39 [size =\"17146880\"]\n  30 [size=\"40867840\", alpha=\"0.03\", expect_size=\"20433920\"] \n  30 -> 37 [size =\"20433920\"]\n  30 -> 39 [size =\"20433920\"]\n  31 [size=\"29681664\", alpha=\"0.15\", expect_size=\"14840832\"] \n  31 -> 35 [size =\"14840832\"]\n  31 -> 39 [size =\"14840832\"]\n  32 [size=\"20264960\", alpha=\"0.19\", expect_size=\"10132480\"] \n  32 -> 35 [size =\"10132480\"]\n  32 -> 36 [size =\"10132480\"]\n  32 -> 37 [size =\"10132480\"]\n  32 -> 39 [size =\"10132480\"]\n  33 [size=\"19714048\", alpha=\"0.12\", expect_size=\"9857024\"] \n  33 -> 36 [size =\"9857024\"]\n  33 -> 37 [size =\"9857024\"]\n  34 [size=\"88717312\", alpha=\"0.04\", expect_size=\"44358656\"] \n  34 -> 35 [size =\"44358656\"]\n  34 -> 36 [size =\"44358656\"]\n  35 [size=\"22966272\", alpha=\"0.07\", expect_size=\"11483136\"] \n  35 -> 40 [size =\"11483136\"]\n  36 [size=\"31557632\", alpha=\"0.15\", expect_size=\"15778816\"] \n  36 -> 40 [size =\"15778816\"]\n  37 [size=\"41304064\", alpha=\"0.09\", expect_size=\"20652032\"] \n  38 [size=\"87328768\", alpha=\"0.07\", expect_size=\"43664384\"] \n  39 [size=\"38830080\", alpha=\"0.13\", expect_size=\"19415040\"] \n  39 -> 40 [size =\"19415040\"]\n  40 [size=\"78936064\", alpha=\"0.05\", expect_size=\"39468032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68102144\", alpha=\"0.06\", expect_size=\"34051072\"] \n  1 -> 2 [size =\"34051072\"]\n  2 [size=\"48041984\", alpha=\"0.08\", expect_size=\"24020992\"] \n  2 -> 3 [size =\"24020992\"]\n  3 [size=\"90679296\", alpha=\"0.15\", expect_size=\"45339648\"] \n  3 -> 4 [size =\"45339648\"]\n  4 [size=\"97542144\", alpha=\"0.13\", expect_size=\"48771072\"] \n  4 -> 5 [size =\"48771072\"]\n  5 [size=\"85964800\", alpha=\"0.12\", expect_size=\"42982400\"] \n  5 -> 6 [size =\"42982400\"]\n  6 [size=\"81868800\", alpha=\"0.08\", expect_size=\"40934400\"] \n  6 -> 7 [size =\"40934400\"]\n  7 [size=\"25116672\", alpha=\"0.12\", expect_size=\"12558336\"] \n  7 -> 8 [size =\"12558336\"]\n  8 [size=\"23775232\", alpha=\"0.20\", expect_size=\"11887616\"] \n  8 -> 9 [size =\"11887616\"]\n  9 [size=\"20287488\", alpha=\"0.12\", expect_size=\"10143744\"] \n  9 -> 10 [size =\"10143744\"]\n  10 [size=\"75053056\", alpha=\"0.17\", expect_size=\"37526528\"] \n  10 -> 11 [size =\"37526528\"]\n  11 [size=\"18022400\", alpha=\"0.18\", expect_size=\"9011200\"] \n  11 -> 12 [size =\"9011200\"]\n  12 [size=\"45537280\", alpha=\"0.08\", expect_size=\"22768640\"] \n  12 -> 13 [size =\"22768640\"]\n  13 [size=\"84629504\", alpha=\"0.04\", expect_size=\"42314752\"] \n  13 -> 14 [size =\"42314752\"]\n  14 [size=\"63270912\", alpha=\"0.09\", expect_size=\"31635456\"] \n  14 -> 15 [size =\"31635456\"]\n  15 [size=\"28282880\", alpha=\"0.06\", expect_size=\"14141440\"] \n  15 -> 16 [size =\"14141440\"]\n  16 [size=\"84002816\", alpha=\"0.14\", expect_size=\"42001408\"] \n  16 -> 17 [size =\"42001408\"]\n  17 [size=\"25100288\", alpha=\"0.03\", expect_size=\"12550144\"] \n  17 -> 18 [size =\"12550144\"]\n  18 [size=\"82702336\", alpha=\"0.14\", expect_size=\"41351168\"] \n  18 -> 19 [size =\"41351168\"]\n  19 [size=\"82397184\", alpha=\"0.13\", expect_size=\"41198592\"] \n  19 -> 20 [size =\"41198592\"]\n  20 [size=\"44550144\", alpha=\"0.10\", expect_size=\"22275072\"] \n  20 -> 21 [size =\"22275072\"]\n  21 [size=\"30089216\", alpha=\"0.19\", expect_size=\"15044608\"] \n  21 -> 22 [size =\"15044608\"]\n  22 [size=\"21233664\", alpha=\"0.16\", expect_size=\"10616832\"] \n  22 -> 23 [size =\"10616832\"]\n  23 [size=\"57083904\", alpha=\"0.10\", expect_size=\"28541952\"] \n  23 -> 24 [size =\"28541952\"]\n  24 [size=\"77056000\", alpha=\"0.02\", expect_size=\"38528000\"] \n  24 -> 25 [size =\"38528000\"]\n  25 [size=\"23959552\", alpha=\"0.10\", expect_size=\"11979776\"] \n  25 -> 26 [size =\"11979776\"]\n  26 [size=\"52619264\", alpha=\"0.13\", expect_size=\"26309632\"] \n  26 -> 27 [size =\"26309632\"]\n  27 [size=\"24821760\", alpha=\"0.20\", expect_size=\"12410880\"] \n  27 -> 28 [size =\"12410880\"]\n  28 [size=\"37545984\", alpha=\"0.09\", expect_size=\"18772992\"] \n  28 -> 29 [size =\"18772992\"]\n  29 [size=\"104083456\", alpha=\"0.00\", expect_size=\"52041728\"] \n  29 -> 30 [size =\"52041728\"]\n  30 [size=\"73259008\", alpha=\"0.06\", expect_size=\"36629504\"] \n  30 -> 31 [size =\"36629504\"]\n  31 [size=\"26519552\", alpha=\"0.12\", expect_size=\"13259776\"] \n  31 -> 32 [size =\"13259776\"]\n  32 [size=\"21481472\", alpha=\"0.06\", expect_size=\"10740736\"] \n  32 -> 33 [size =\"10740736\"]\n  33 [size=\"95707136\", alpha=\"0.16\", expect_size=\"47853568\"] \n  33 -> 34 [size =\"47853568\"]\n  34 [size=\"46272512\", alpha=\"0.17\", expect_size=\"23136256\"] \n  34 -> 35 [size =\"23136256\"]\n  35 [size=\"54609920\", alpha=\"0.02\", expect_size=\"27304960\"] \n  35 -> 36 [size =\"27304960\"]\n  36 [size=\"101826560\", alpha=\"0.02\", expect_size=\"50913280\"] \n  36 -> 37 [size =\"50913280\"]\n  37 [size=\"70559744\", alpha=\"0.06\", expect_size=\"35279872\"] \n  37 -> 38 [size =\"35279872\"]\n  38 [size=\"69816320\", alpha=\"0.04\", expect_size=\"34908160\"] \n  38 -> 39 [size =\"34908160\"]\n  39 [size=\"18511872\", alpha=\"0.18\", expect_size=\"9255936\"] \n  39 -> 40 [size =\"9255936\"]\n  40 [size=\"20824064\", alpha=\"0.19\", expect_size=\"10412032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39872000\", alpha=\"0.19\", expect_size=\"15948800\"] \n  1 -> 3 [size =\"15948800\"]\n  1 -> 5 [size =\"15948800\"]\n  1 -> 6 [size =\"15948800\"]\n  2 [size=\"98531840\", alpha=\"0.20\", expect_size=\"39412736\"] \n  2 -> 4 [size =\"39412736\"]\n  2 -> 6 [size =\"39412736\"]\n  3 [size=\"78405120\", alpha=\"0.18\", expect_size=\"31362048\"] \n  3 -> 7 [size =\"31362048\"]\n  4 [size=\"72358400\", alpha=\"0.06\", expect_size=\"28943360\"] \n  4 -> 7 [size =\"28943360\"]\n  4 -> 9 [size =\"28943360\"]\n  5 [size=\"98263040\", alpha=\"0.14\", expect_size=\"39305216\"] \n  5 -> 7 [size =\"39305216\"]\n  5 -> 8 [size =\"39305216\"]\n  6 [size=\"19322880\", alpha=\"0.06\", expect_size=\"7729152\"] \n  7 [size=\"125306880\", alpha=\"0.07\", expect_size=\"50122752\"] \n  7 -> 12 [size =\"50122752\"]\n  8 [size=\"29504000\", alpha=\"0.16\", expect_size=\"11801600\"] \n  8 -> 10 [size =\"11801600\"]\n  9 [size=\"19801600\", alpha=\"0.10\", expect_size=\"7920640\"] \n  9 -> 11 [size =\"7920640\"]\n  9 -> 13 [size =\"7920640\"]\n  10 [size=\"30530560\", alpha=\"0.12\", expect_size=\"12212224\"] \n  10 -> 14 [size =\"12212224\"]\n  10 -> 15 [size =\"12212224\"]\n  11 [size=\"15426560\", alpha=\"0.00\", expect_size=\"6170624\"] \n  11 -> 15 [size =\"6170624\"]\n  12 [size=\"128693760\", alpha=\"0.10\", expect_size=\"51477504\"] \n  12 -> 16 [size =\"51477504\"]\n  13 [size=\"127155200\", alpha=\"0.15\", expect_size=\"50862080\"] \n  13 -> 16 [size =\"50862080\"]\n  14 [size=\"117386240\", alpha=\"0.19\", expect_size=\"46954496\"] \n  15 [size=\"33794560\", alpha=\"0.16\", expect_size=\"13517824\"] \n  15 -> 17 [size =\"13517824\"]\n  16 [size=\"118732800\", alpha=\"0.13\", expect_size=\"47493120\"] \n  17 [size=\"36544000\", alpha=\"0.02\", expect_size=\"14617600\"] \n  17 -> 18 [size =\"14617600\"]\n  17 -> 19 [size =\"14617600\"]\n  18 [size=\"79385600\", alpha=\"0.06\", expect_size=\"31754240\"] \n  19 [size=\"54722560\", alpha=\"0.16\", expect_size=\"21889024\"] \n  19 -> 20 [size =\"21889024\"]\n  19 -> 21 [size =\"21889024\"]\n  19 -> 22 [size =\"21889024\"]\n  20 [size=\"115192320\", alpha=\"0.07\", expect_size=\"46076928\"] \n  20 -> 23 [size =\"46076928\"]\n  21 [size=\"70510080\", alpha=\"0.02\", expect_size=\"28204032\"] \n  21 -> 24 [size =\"28204032\"]\n  22 [size=\"72028160\", alpha=\"0.12\", expect_size=\"28811264\"] \n  22 -> 23 [size =\"28811264\"]\n  22 -> 24 [size =\"28811264\"]\n  23 [size=\"15173120\", alpha=\"0.13\", expect_size=\"6069248\"] \n  23 -> 26 [size =\"6069248\"]\n  23 -> 27 [size =\"6069248\"]\n  23 -> 28 [size =\"6069248\"]\n  24 [size=\"101025280\", alpha=\"0.03\", expect_size=\"40410112\"] \n  24 -> 25 [size =\"40410112\"]\n  24 -> 27 [size =\"40410112\"]\n  24 -> 28 [size =\"40410112\"]\n  25 [size=\"94041600\", alpha=\"0.09\", expect_size=\"37616640\"] \n  26 [size=\"72012800\", alpha=\"0.15\", expect_size=\"28805120\"] \n  27 [size=\"32642560\", alpha=\"0.01\", expect_size=\"13057024\"] \n  27 -> 30 [size =\"13057024\"]\n  28 [size=\"45173760\", alpha=\"0.09\", expect_size=\"18069504\"] \n  28 -> 29 [size =\"18069504\"]\n  29 [size=\"78848000\", alpha=\"0.18\", expect_size=\"31539200\"] \n  29 -> 31 [size =\"31539200\"]\n  29 -> 32 [size =\"31539200\"]\n  29 -> 33 [size =\"31539200\"]\n  30 [size=\"55185920\", alpha=\"0.10\", expect_size=\"22074368\"] \n  30 -> 32 [size =\"22074368\"]\n  31 [size=\"94840320\", alpha=\"0.03\", expect_size=\"37936128\"] \n  31 -> 34 [size =\"37936128\"]\n  32 [size=\"106608640\", alpha=\"0.15\", expect_size=\"42643456\"] \n  33 [size=\"57953280\", alpha=\"0.07\", expect_size=\"23181312\"] \n  34 [size=\"14172160\", alpha=\"0.16\", expect_size=\"5668864\"] \n  34 -> 35 [size =\"5668864\"]\n  35 [size=\"34519040\", alpha=\"0.09\", expect_size=\"13807616\"] \n  35 -> 36 [size =\"13807616\"]\n  36 [size=\"86187520\", alpha=\"0.19\", expect_size=\"34475008\"] \n  36 -> 37 [size =\"34475008\"]\n  36 -> 38 [size =\"34475008\"]\n  36 -> 39 [size =\"34475008\"]\n  36 -> 40 [size =\"34475008\"]\n  37 [size=\"57425920\", alpha=\"0.14\", expect_size=\"22970368\"] \n  38 [size=\"60441600\", alpha=\"0.20\", expect_size=\"24176640\"] \n  39 [size=\"111633920\", alpha=\"0.13\", expect_size=\"44653568\"] \n  40 [size=\"99727360\", alpha=\"0.03\", expect_size=\"39890944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36202496\", alpha=\"0.12\", expect_size=\"18101248\"] \n  1 -> 36 [size =\"18101248\"]\n  1 -> 36 [size =\"18101248\"]\n  1 -> 39 [size =\"18101248\"]\n  1 -> 40 [size =\"18101248\"]\n  2 [size=\"54441984\", alpha=\"0.02\", expect_size=\"27220992\"] \n  2 -> 36 [size =\"27220992\"]\n  2 -> 37 [size =\"27220992\"]\n  2 -> 38 [size =\"27220992\"]\n  2 -> 39 [size =\"27220992\"]\n  2 -> 40 [size =\"27220992\"]\n  3 [size=\"22226944\", alpha=\"0.01\", expect_size=\"11113472\"] \n  3 -> 36 [size =\"11113472\"]\n  3 -> 39 [size =\"11113472\"]\n  4 [size=\"79292416\", alpha=\"0.09\", expect_size=\"39646208\"] \n  4 -> 34 [size =\"39646208\"]\n  4 -> 38 [size =\"39646208\"]\n  4 -> 39 [size =\"39646208\"]\n  5 [size=\"44136448\", alpha=\"0.02\", expect_size=\"22068224\"] \n  5 -> 34 [size =\"22068224\"]\n  5 -> 36 [size =\"22068224\"]\n  5 -> 37 [size =\"22068224\"]\n  5 -> 40 [size =\"22068224\"]\n  6 [size=\"91334656\", alpha=\"0.05\", expect_size=\"45667328\"] \n  6 -> 36 [size =\"45667328\"]\n  6 -> 37 [size =\"45667328\"]\n  7 [size=\"11657216\", alpha=\"0.12\", expect_size=\"5828608\"] \n  8 [size=\"90454016\", alpha=\"0.08\", expect_size=\"45227008\"] \n  8 -> 34 [size =\"45227008\"]\n  9 [size=\"16330752\", alpha=\"0.07\", expect_size=\"8165376\"] \n  9 -> 34 [size =\"8165376\"]\n  9 -> 36 [size =\"8165376\"]\n  9 -> 37 [size =\"8165376\"]\n  9 -> 39 [size =\"8165376\"]\n  10 [size=\"86517760\", alpha=\"0.04\", expect_size=\"43258880\"] \n  10 -> 34 [size =\"43258880\"]\n  10 -> 36 [size =\"43258880\"]\n  11 [size=\"72347648\", alpha=\"0.17\", expect_size=\"36173824\"] \n  11 -> 34 [size =\"36173824\"]\n  12 [size=\"32727040\", alpha=\"0.17\", expect_size=\"16363520\"] \n  12 -> 34 [size =\"16363520\"]\n  12 -> 36 [size =\"16363520\"]\n  12 -> 39 [size =\"16363520\"]\n  12 -> 40 [size =\"16363520\"]\n  13 [size=\"43759616\", alpha=\"0.11\", expect_size=\"21879808\"] \n  13 -> 35 [size =\"21879808\"]\n  13 -> 36 [size =\"21879808\"]\n  13 -> 39 [size =\"21879808\"]\n  13 -> 40 [size =\"21879808\"]\n  14 [size=\"49471488\", alpha=\"0.00\", expect_size=\"24735744\"] \n  14 -> 34 [size =\"24735744\"]\n  14 -> 36 [size =\"24735744\"]\n  14 -> 37 [size =\"24735744\"]\n  14 -> 38 [size =\"24735744\"]\n  14 -> 39 [size =\"24735744\"]\n  14 -> 40 [size =\"24735744\"]\n  15 [size=\"89815040\", alpha=\"0.09\", expect_size=\"44907520\"] \n  15 -> 36 [size =\"44907520\"]\n  15 -> 36 [size =\"44907520\"]\n  15 -> 37 [size =\"44907520\"]\n  15 -> 39 [size =\"44907520\"]\n  15 -> 40 [size =\"44907520\"]\n  15 -> 40 [size =\"44907520\"]\n  16 [size=\"98052096\", alpha=\"0.09\", expect_size=\"49026048\"] \n  16 -> 34 [size =\"49026048\"]\n  16 -> 36 [size =\"49026048\"]\n  16 -> 38 [size =\"49026048\"]\n  16 -> 40 [size =\"49026048\"]\n  17 [size=\"28997632\", alpha=\"0.05\", expect_size=\"14498816\"] \n  17 -> 36 [size =\"14498816\"]\n  17 -> 36 [size =\"14498816\"]\n  17 -> 37 [size =\"14498816\"]\n  17 -> 39 [size =\"14498816\"]\n  17 -> 40 [size =\"14498816\"]\n  18 [size=\"87205888\", alpha=\"0.01\", expect_size=\"43602944\"] \n  18 -> 36 [size =\"43602944\"]\n  18 -> 38 [size =\"43602944\"]\n  18 -> 39 [size =\"43602944\"]\n  18 -> 40 [size =\"43602944\"]\n  18 -> 40 [size =\"43602944\"]\n  19 [size=\"29302784\", alpha=\"0.10\", expect_size=\"14651392\"] \n  19 -> 34 [size =\"14651392\"]\n  19 -> 36 [size =\"14651392\"]\n  19 -> 37 [size =\"14651392\"]\n  19 -> 38 [size =\"14651392\"]\n  19 -> 40 [size =\"14651392\"]\n  20 [size=\"60850176\", alpha=\"0.05\", expect_size=\"30425088\"] \n  20 -> 36 [size =\"30425088\"]\n  20 -> 39 [size =\"30425088\"]\n  21 [size=\"81371136\", alpha=\"0.05\", expect_size=\"40685568\"] \n  21 -> 34 [size =\"40685568\"]\n  21 -> 36 [size =\"40685568\"]\n  21 -> 37 [size =\"40685568\"]\n  21 -> 38 [size =\"40685568\"]\n  21 -> 39 [size =\"40685568\"]\n  21 -> 40 [size =\"40685568\"]\n  22 [size=\"64868352\", alpha=\"0.15\", expect_size=\"32434176\"] \n  22 -> 36 [size =\"32434176\"]\n  22 -> 37 [size =\"32434176\"]\n  22 -> 38 [size =\"32434176\"]\n  22 -> 40 [size =\"32434176\"]\n  23 [size=\"51918848\", alpha=\"0.08\", expect_size=\"25959424\"] \n  23 -> 34 [size =\"25959424\"]\n  23 -> 39 [size =\"25959424\"]\n  23 -> 40 [size =\"25959424\"]\n  24 [size=\"11180032\", alpha=\"0.14\", expect_size=\"5590016\"] \n  24 -> 36 [size =\"5590016\"]\n  24 -> 37 [size =\"5590016\"]\n  24 -> 38 [size =\"5590016\"]\n  24 -> 39 [size =\"5590016\"]\n  25 [size=\"12544000\", alpha=\"0.08\", expect_size=\"6272000\"] \n  25 -> 39 [size =\"6272000\"]\n  26 [size=\"55760896\", alpha=\"0.20\", expect_size=\"27880448\"] \n  26 -> 34 [size =\"27880448\"]\n  26 -> 36 [size =\"27880448\"]\n  27 [size=\"97021952\", alpha=\"0.11\", expect_size=\"48510976\"] \n  27 -> 34 [size =\"48510976\"]\n  27 -> 38 [size =\"48510976\"]\n  27 -> 39 [size =\"48510976\"]\n  28 [size=\"25384960\", alpha=\"0.19\", expect_size=\"12692480\"] \n  28 -> 34 [size =\"12692480\"]\n  28 -> 36 [size =\"12692480\"]\n  28 -> 39 [size =\"12692480\"]\n  29 [size=\"30326784\", alpha=\"0.09\", expect_size=\"15163392\"] \n  29 -> 34 [size =\"15163392\"]\n  29 -> 36 [size =\"15163392\"]\n  29 -> 38 [size =\"15163392\"]\n  29 -> 39 [size =\"15163392\"]\n  30 [size=\"76490752\", alpha=\"0.15\", expect_size=\"38245376\"] \n  30 -> 34 [size =\"38245376\"]\n  30 -> 36 [size =\"38245376\"]\n  30 -> 37 [size =\"38245376\"]\n  30 -> 40 [size =\"38245376\"]\n  31 [size=\"99383296\", alpha=\"0.14\", expect_size=\"49691648\"] \n  31 -> 34 [size =\"49691648\"]\n  31 -> 36 [size =\"49691648\"]\n  31 -> 40 [size =\"49691648\"]\n  32 [size=\"30347264\", alpha=\"0.17\", expect_size=\"15173632\"] \n  32 -> 34 [size =\"15173632\"]\n  32 -> 36 [size =\"15173632\"]\n  32 -> 39 [size =\"15173632\"]\n  33 [size=\"102084608\", alpha=\"0.08\", expect_size=\"51042304\"] \n  33 -> 34 [size =\"51042304\"]\n  33 -> 36 [size =\"51042304\"]\n  33 -> 39 [size =\"51042304\"]\n  33 -> 40 [size =\"51042304\"]\n  34 [size=\"43225088\", alpha=\"0.07\", expect_size=\"21612544\"] \n  35 [size=\"16943104\", alpha=\"0.02\", expect_size=\"8471552\"] \n  36 [size=\"56895488\", alpha=\"0.16\", expect_size=\"28447744\"] \n  37 [size=\"55187456\", alpha=\"0.15\", expect_size=\"27593728\"] \n  38 [size=\"12986368\", alpha=\"0.09\", expect_size=\"6493184\"] \n  39 [size=\"104636416\", alpha=\"0.07\", expect_size=\"52318208\"] \n  40 [size=\"52869120\", alpha=\"0.16\", expect_size=\"26434560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72927232\", alpha=\"0.16\", expect_size=\"36463616\"] \n  1 -> 2 [size =\"36463616\"]\n  2 [size=\"52799488\", alpha=\"0.07\", expect_size=\"26399744\"] \n  2 -> 3 [size =\"26399744\"]\n  3 [size=\"75575296\", alpha=\"0.11\", expect_size=\"37787648\"] \n  3 -> 4 [size =\"37787648\"]\n  4 [size=\"78299136\", alpha=\"0.15\", expect_size=\"39149568\"] \n  4 -> 5 [size =\"39149568\"]\n  5 [size=\"67627008\", alpha=\"0.01\", expect_size=\"33813504\"] \n  5 -> 6 [size =\"33813504\"]\n  6 [size=\"29046784\", alpha=\"0.08\", expect_size=\"14523392\"] \n  6 -> 7 [size =\"14523392\"]\n  7 [size=\"15894528\", alpha=\"0.14\", expect_size=\"7947264\"] \n  7 -> 8 [size =\"7947264\"]\n  8 [size=\"20412416\", alpha=\"0.04\", expect_size=\"10206208\"] \n  8 -> 9 [size =\"10206208\"]\n  9 [size=\"23754752\", alpha=\"0.12\", expect_size=\"11877376\"] \n  9 -> 10 [size =\"11877376\"]\n  10 [size=\"47673344\", alpha=\"0.12\", expect_size=\"23836672\"] \n  10 -> 11 [size =\"23836672\"]\n  11 [size=\"56406016\", alpha=\"0.09\", expect_size=\"28203008\"] \n  11 -> 12 [size =\"28203008\"]\n  12 [size=\"36935680\", alpha=\"0.10\", expect_size=\"18467840\"] \n  12 -> 13 [size =\"18467840\"]\n  13 [size=\"71823360\", alpha=\"0.16\", expect_size=\"35911680\"] \n  13 -> 14 [size =\"35911680\"]\n  14 [size=\"28895232\", alpha=\"0.06\", expect_size=\"14447616\"] \n  14 -> 15 [size =\"14447616\"]\n  15 [size=\"100282368\", alpha=\"0.19\", expect_size=\"50141184\"] \n  15 -> 16 [size =\"50141184\"]\n  16 [size=\"12167168\", alpha=\"0.20\", expect_size=\"6083584\"] \n  16 -> 17 [size =\"6083584\"]\n  17 [size=\"49209344\", alpha=\"0.11\", expect_size=\"24604672\"] \n  17 -> 18 [size =\"24604672\"]\n  18 [size=\"19654656\", alpha=\"0.19\", expect_size=\"9827328\"] \n  18 -> 19 [size =\"9827328\"]\n  19 [size=\"38211584\", alpha=\"0.02\", expect_size=\"19105792\"] \n  19 -> 20 [size =\"19105792\"]\n  20 [size=\"93911040\", alpha=\"0.15\", expect_size=\"46955520\"] \n  20 -> 21 [size =\"46955520\"]\n  21 [size=\"56332288\", alpha=\"0.01\", expect_size=\"28166144\"] \n  21 -> 22 [size =\"28166144\"]\n  22 [size=\"100573184\", alpha=\"0.16\", expect_size=\"50286592\"] \n  22 -> 23 [size =\"50286592\"]\n  23 [size=\"53819392\", alpha=\"0.05\", expect_size=\"26909696\"] \n  23 -> 24 [size =\"26909696\"]\n  24 [size=\"35031040\", alpha=\"0.08\", expect_size=\"17515520\"] \n  24 -> 25 [size =\"17515520\"]\n  25 [size=\"62738432\", alpha=\"0.03\", expect_size=\"31369216\"] \n  25 -> 26 [size =\"31369216\"]\n  26 [size=\"56344576\", alpha=\"0.03\", expect_size=\"28172288\"] \n  26 -> 27 [size =\"28172288\"]\n  27 [size=\"55599104\", alpha=\"0.03\", expect_size=\"27799552\"] \n  27 -> 28 [size =\"27799552\"]\n  28 [size=\"11122688\", alpha=\"0.06\", expect_size=\"5561344\"] \n  28 -> 29 [size =\"5561344\"]\n  29 [size=\"100182016\", alpha=\"0.11\", expect_size=\"50091008\"] \n  29 -> 30 [size =\"50091008\"]\n  30 [size=\"14368768\", alpha=\"0.04\", expect_size=\"7184384\"] \n  30 -> 31 [size =\"7184384\"]\n  31 [size=\"83697664\", alpha=\"0.07\", expect_size=\"41848832\"] \n  31 -> 32 [size =\"41848832\"]\n  32 [size=\"87494656\", alpha=\"0.16\", expect_size=\"43747328\"] \n  32 -> 33 [size =\"43747328\"]\n  33 [size=\"68073472\", alpha=\"0.17\", expect_size=\"34036736\"] \n  33 -> 34 [size =\"34036736\"]\n  34 [size=\"90525696\", alpha=\"0.03\", expect_size=\"45262848\"] \n  34 -> 35 [size =\"45262848\"]\n  35 [size=\"33918976\", alpha=\"0.07\", expect_size=\"16959488\"] \n  35 -> 36 [size =\"16959488\"]\n  36 [size=\"49770496\", alpha=\"0.12\", expect_size=\"24885248\"] \n  36 -> 37 [size =\"24885248\"]\n  37 [size=\"62271488\", alpha=\"0.05\", expect_size=\"31135744\"] \n  37 -> 38 [size =\"31135744\"]\n  38 [size=\"76828672\", alpha=\"0.00\", expect_size=\"38414336\"] \n  38 -> 39 [size =\"38414336\"]\n  39 [size=\"103374848\", alpha=\"0.01\", expect_size=\"51687424\"] \n  39 -> 40 [size =\"51687424\"]\n  40 [size=\"60805120\", alpha=\"0.20\", expect_size=\"30402560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122064213\", alpha=\"0.14\", expect_size=\"36619264\"] \n  1 -> 5 [size =\"36619264\"]\n  2 [size=\"162256213\", alpha=\"0.17\", expect_size=\"48676864\"] \n  2 -> 4 [size =\"48676864\"]\n  2 -> 5 [size =\"48676864\"]\n  2 -> 6 [size =\"48676864\"]\n  3 [size=\"96372053\", alpha=\"0.11\", expect_size=\"28911616\"] \n  3 -> 4 [size =\"28911616\"]\n  3 -> 5 [size =\"28911616\"]\n  3 -> 6 [size =\"28911616\"]\n  4 [size=\"26572800\", alpha=\"0.05\", expect_size=\"7971840\"] \n  4 -> 7 [size =\"7971840\"]\n  4 -> 8 [size =\"7971840\"]\n  4 -> 9 [size =\"7971840\"]\n  5 [size=\"137106773\", alpha=\"0.09\", expect_size=\"41132032\"] \n  5 -> 7 [size =\"41132032\"]\n  5 -> 8 [size =\"41132032\"]\n  6 [size=\"63208107\", alpha=\"0.20\", expect_size=\"18962432\"] \n  6 -> 7 [size =\"18962432\"]\n  6 -> 8 [size =\"18962432\"]\n  6 -> 9 [size =\"18962432\"]\n  7 [size=\"156805120\", alpha=\"0.15\", expect_size=\"47041536\"] \n  7 -> 11 [size =\"47041536\"]\n  8 [size=\"103717547\", alpha=\"0.09\", expect_size=\"31115264\"] \n  8 -> 10 [size =\"31115264\"]\n  8 -> 11 [size =\"31115264\"]\n  9 [size=\"96413013\", alpha=\"0.07\", expect_size=\"28923904\"] \n  10 [size=\"101031253\", alpha=\"0.02\", expect_size=\"30309376\"] \n  10 -> 12 [size =\"30309376\"]\n  10 -> 13 [size =\"30309376\"]\n  10 -> 14 [size =\"30309376\"]\n  11 [size=\"32556373\", alpha=\"0.15\", expect_size=\"9766912\"] \n  11 -> 13 [size =\"9766912\"]\n  11 -> 14 [size =\"9766912\"]\n  12 [size=\"144353280\", alpha=\"0.15\", expect_size=\"43305984\"] \n  12 -> 15 [size =\"43305984\"]\n  12 -> 16 [size =\"43305984\"]\n  12 -> 17 [size =\"43305984\"]\n  13 [size=\"123037013\", alpha=\"0.17\", expect_size=\"36911104\"] \n  14 [size=\"54224213\", alpha=\"0.14\", expect_size=\"16267264\"] \n  14 -> 15 [size =\"16267264\"]\n  14 -> 16 [size =\"16267264\"]\n  15 [size=\"94877013\", alpha=\"0.08\", expect_size=\"28463104\"] \n  16 [size=\"163706880\", alpha=\"0.14\", expect_size=\"49112064\"] \n  16 -> 18 [size =\"49112064\"]\n  17 [size=\"160969387\", alpha=\"0.10\", expect_size=\"48290816\"] \n  17 -> 18 [size =\"48290816\"]\n  17 -> 19 [size =\"48290816\"]\n  18 [size=\"119831893\", alpha=\"0.15\", expect_size=\"35949568\"] \n  18 -> 20 [size =\"35949568\"]\n  18 -> 21 [size =\"35949568\"]\n  18 -> 22 [size =\"35949568\"]\n  19 [size=\"33518933\", alpha=\"0.08\", expect_size=\"10055680\"] \n  20 [size=\"85609813\", alpha=\"0.12\", expect_size=\"25682944\"] \n  20 -> 23 [size =\"25682944\"]\n  20 -> 25 [size =\"25682944\"]\n  21 [size=\"102925653\", alpha=\"0.10\", expect_size=\"30877696\"] \n  21 -> 24 [size =\"30877696\"]\n  22 [size=\"62276267\", alpha=\"0.06\", expect_size=\"18682880\"] \n  22 -> 23 [size =\"18682880\"]\n  22 -> 24 [size =\"18682880\"]\n  22 -> 25 [size =\"18682880\"]\n  22 -> 26 [size =\"18682880\"]\n  23 [size=\"26183680\", alpha=\"0.12\", expect_size=\"7855104\"] \n  23 -> 28 [size =\"7855104\"]\n  24 [size=\"157149867\", alpha=\"0.19\", expect_size=\"47144960\"] \n  24 -> 27 [size =\"47144960\"]\n  24 -> 28 [size =\"47144960\"]\n  25 [size=\"113831253\", alpha=\"0.01\", expect_size=\"34149376\"] \n  25 -> 27 [size =\"34149376\"]\n  26 [size=\"19531093\", alpha=\"0.09\", expect_size=\"5859328\"] \n  26 -> 27 [size =\"5859328\"]\n  27 [size=\"129126400\", alpha=\"0.15\", expect_size=\"38737920\"] \n  27 -> 31 [size =\"38737920\"]\n  27 -> 32 [size =\"38737920\"]\n  28 [size=\"48814080\", alpha=\"0.12\", expect_size=\"14644224\"] \n  28 -> 29 [size =\"14644224\"]\n  28 -> 30 [size =\"14644224\"]\n  28 -> 32 [size =\"14644224\"]\n  29 [size=\"170195627\", alpha=\"0.19\", expect_size=\"51058688\"] \n  29 -> 33 [size =\"51058688\"]\n  30 [size=\"74458453\", alpha=\"0.16\", expect_size=\"22337536\"] \n  30 -> 33 [size =\"22337536\"]\n  31 [size=\"169458347\", alpha=\"0.16\", expect_size=\"50837504\"] \n  32 [size=\"87920640\", alpha=\"0.11\", expect_size=\"26376192\"] \n  32 -> 33 [size =\"26376192\"]\n  33 [size=\"131918507\", alpha=\"0.00\", expect_size=\"39575552\"] \n  33 -> 34 [size =\"39575552\"]\n  33 -> 35 [size =\"39575552\"]\n  33 -> 36 [size =\"39575552\"]\n  34 [size=\"65774933\", alpha=\"0.14\", expect_size=\"19732480\"] \n  34 -> 37 [size =\"19732480\"]\n  34 -> 38 [size =\"19732480\"]\n  34 -> 39 [size =\"19732480\"]\n  35 [size=\"55879680\", alpha=\"0.18\", expect_size=\"16763904\"] \n  35 -> 38 [size =\"16763904\"]\n  36 [size=\"64573440\", alpha=\"0.20\", expect_size=\"19372032\"] \n  37 [size=\"137594880\", alpha=\"0.00\", expect_size=\"41278464\"] \n  38 [size=\"99693227\", alpha=\"0.14\", expect_size=\"29907968\"] \n  38 -> 40 [size =\"29907968\"]\n  39 [size=\"37120000\", alpha=\"0.09\", expect_size=\"11136000\"] \n  39 -> 40 [size =\"11136000\"]\n  40 [size=\"28805120\", alpha=\"0.13\", expect_size=\"8641536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22327296\", alpha=\"0.04\", expect_size=\"11163648\"] \n  1 -> 12 [size =\"11163648\"]\n  1 -> 14 [size =\"11163648\"]\n  1 -> 21 [size =\"11163648\"]\n  1 -> 22 [size =\"11163648\"]\n  1 -> 23 [size =\"11163648\"]\n  2 [size=\"39245824\", alpha=\"0.10\", expect_size=\"19622912\"] \n  2 -> 17 [size =\"19622912\"]\n  2 -> 18 [size =\"19622912\"]\n  2 -> 21 [size =\"19622912\"]\n  2 -> 22 [size =\"19622912\"]\n  3 [size=\"95539200\", alpha=\"0.08\", expect_size=\"47769600\"] \n  3 -> 14 [size =\"47769600\"]\n  3 -> 17 [size =\"47769600\"]\n  3 -> 21 [size =\"47769600\"]\n  3 -> 22 [size =\"47769600\"]\n  3 -> 23 [size =\"47769600\"]\n  4 [size=\"94038016\", alpha=\"0.12\", expect_size=\"47019008\"] \n  4 -> 12 [size =\"47019008\"]\n  4 -> 16 [size =\"47019008\"]\n  4 -> 18 [size =\"47019008\"]\n  4 -> 20 [size =\"47019008\"]\n  4 -> 22 [size =\"47019008\"]\n  4 -> 23 [size =\"47019008\"]\n  5 [size=\"57499648\", alpha=\"0.16\", expect_size=\"28749824\"] \n  5 -> 12 [size =\"28749824\"]\n  5 -> 14 [size =\"28749824\"]\n  5 -> 16 [size =\"28749824\"]\n  5 -> 18 [size =\"28749824\"]\n  5 -> 19 [size =\"28749824\"]\n  5 -> 20 [size =\"28749824\"]\n  6 [size=\"91353088\", alpha=\"0.02\", expect_size=\"45676544\"] \n  6 -> 12 [size =\"45676544\"]\n  6 -> 13 [size =\"45676544\"]\n  6 -> 16 [size =\"45676544\"]\n  6 -> 18 [size =\"45676544\"]\n  6 -> 20 [size =\"45676544\"]\n  6 -> 20 [size =\"45676544\"]\n  6 -> 23 [size =\"45676544\"]\n  7 [size=\"55105536\", alpha=\"0.10\", expect_size=\"27552768\"] \n  7 -> 12 [size =\"27552768\"]\n  7 -> 14 [size =\"27552768\"]\n  7 -> 15 [size =\"27552768\"]\n  7 -> 16 [size =\"27552768\"]\n  7 -> 18 [size =\"27552768\"]\n  7 -> 20 [size =\"27552768\"]\n  8 [size=\"91316224\", alpha=\"0.13\", expect_size=\"45658112\"] \n  8 -> 12 [size =\"45658112\"]\n  8 -> 14 [size =\"45658112\"]\n  8 -> 15 [size =\"45658112\"]\n  8 -> 17 [size =\"45658112\"]\n  8 -> 18 [size =\"45658112\"]\n  8 -> 20 [size =\"45658112\"]\n  8 -> 21 [size =\"45658112\"]\n  8 -> 22 [size =\"45658112\"]\n  9 [size=\"92397568\", alpha=\"0.11\", expect_size=\"46198784\"] \n  9 -> 12 [size =\"46198784\"]\n  9 -> 14 [size =\"46198784\"]\n  9 -> 15 [size =\"46198784\"]\n  9 -> 16 [size =\"46198784\"]\n  9 -> 17 [size =\"46198784\"]\n  9 -> 20 [size =\"46198784\"]\n  9 -> 21 [size =\"46198784\"]\n  9 -> 22 [size =\"46198784\"]\n  10 [size=\"29954048\", alpha=\"0.05\", expect_size=\"14977024\"] \n  10 -> 13 [size =\"14977024\"]\n  10 -> 16 [size =\"14977024\"]\n  10 -> 18 [size =\"14977024\"]\n  10 -> 22 [size =\"14977024\"]\n  11 [size=\"90134528\", alpha=\"0.17\", expect_size=\"45067264\"] \n  11 -> 13 [size =\"45067264\"]\n  11 -> 18 [size =\"45067264\"]\n  11 -> 19 [size =\"45067264\"]\n  11 -> 22 [size =\"45067264\"]\n  12 [size=\"15878144\", alpha=\"0.18\", expect_size=\"7939072\"] \n  12 -> 24 [size =\"7939072\"]\n  12 -> 25 [size =\"7939072\"]\n  12 -> 26 [size =\"7939072\"]\n  12 -> 28 [size =\"7939072\"]\n  12 -> 30 [size =\"7939072\"]\n  12 -> 32 [size =\"7939072\"]\n  12 -> 34 [size =\"7939072\"]\n  12 -> 35 [size =\"7939072\"]\n  12 -> 36 [size =\"7939072\"]\n  13 [size=\"63832064\", alpha=\"0.05\", expect_size=\"31916032\"] \n  13 -> 24 [size =\"31916032\"]\n  13 -> 26 [size =\"31916032\"]\n  13 -> 28 [size =\"31916032\"]\n  13 -> 28 [size =\"31916032\"]\n  13 -> 30 [size =\"31916032\"]\n  13 -> 31 [size =\"31916032\"]\n  13 -> 35 [size =\"31916032\"]\n  13 -> 36 [size =\"31916032\"]\n  14 [size=\"101326848\", alpha=\"0.06\", expect_size=\"50663424\"] \n  14 -> 24 [size =\"50663424\"]\n  14 -> 26 [size =\"50663424\"]\n  14 -> 27 [size =\"50663424\"]\n  14 -> 28 [size =\"50663424\"]\n  14 -> 30 [size =\"50663424\"]\n  14 -> 31 [size =\"50663424\"]\n  14 -> 32 [size =\"50663424\"]\n  14 -> 34 [size =\"50663424\"]\n  14 -> 35 [size =\"50663424\"]\n  15 [size=\"62263296\", alpha=\"0.11\", expect_size=\"31131648\"] \n  15 -> 25 [size =\"31131648\"]\n  15 -> 26 [size =\"31131648\"]\n  15 -> 27 [size =\"31131648\"]\n  15 -> 30 [size =\"31131648\"]\n  15 -> 33 [size =\"31131648\"]\n  15 -> 35 [size =\"31131648\"]\n  15 -> 37 [size =\"31131648\"]\n  16 [size=\"44240896\", alpha=\"0.01\", expect_size=\"22120448\"] \n  16 -> 24 [size =\"22120448\"]\n  16 -> 25 [size =\"22120448\"]\n  16 -> 26 [size =\"22120448\"]\n  16 -> 27 [size =\"22120448\"]\n  16 -> 28 [size =\"22120448\"]\n  16 -> 30 [size =\"22120448\"]\n  16 -> 31 [size =\"22120448\"]\n  16 -> 35 [size =\"22120448\"]\n  16 -> 36 [size =\"22120448\"]\n  16 -> 37 [size =\"22120448\"]\n  17 [size=\"54851584\", alpha=\"0.07\", expect_size=\"27425792\"] \n  17 -> 25 [size =\"27425792\"]\n  17 -> 28 [size =\"27425792\"]\n  17 -> 29 [size =\"27425792\"]\n  17 -> 30 [size =\"27425792\"]\n  17 -> 31 [size =\"27425792\"]\n  17 -> 34 [size =\"27425792\"]\n  17 -> 35 [size =\"27425792\"]\n  17 -> 35 [size =\"27425792\"]\n  17 -> 36 [size =\"27425792\"]\n  18 [size=\"103892992\", alpha=\"0.11\", expect_size=\"51946496\"] \n  18 -> 24 [size =\"51946496\"]\n  18 -> 25 [size =\"51946496\"]\n  18 -> 26 [size =\"51946496\"]\n  18 -> 27 [size =\"51946496\"]\n  18 -> 29 [size =\"51946496\"]\n  18 -> 30 [size =\"51946496\"]\n  18 -> 31 [size =\"51946496\"]\n  18 -> 33 [size =\"51946496\"]\n  18 -> 34 [size =\"51946496\"]\n  18 -> 36 [size =\"51946496\"]\n  18 -> 37 [size =\"51946496\"]\n  19 [size=\"71290880\", alpha=\"0.12\", expect_size=\"35645440\"] \n  19 -> 24 [size =\"35645440\"]\n  19 -> 25 [size =\"35645440\"]\n  19 -> 26 [size =\"35645440\"]\n  19 -> 27 [size =\"35645440\"]\n  19 -> 28 [size =\"35645440\"]\n  19 -> 29 [size =\"35645440\"]\n  19 -> 30 [size =\"35645440\"]\n  19 -> 31 [size =\"35645440\"]\n  19 -> 32 [size =\"35645440\"]\n  19 -> 34 [size =\"35645440\"]\n  19 -> 35 [size =\"35645440\"]\n  19 -> 36 [size =\"35645440\"]\n  19 -> 37 [size =\"35645440\"]\n  20 [size=\"26564608\", alpha=\"0.01\", expect_size=\"13282304\"] \n  20 -> 25 [size =\"13282304\"]\n  20 -> 26 [size =\"13282304\"]\n  20 -> 26 [size =\"13282304\"]\n  20 -> 28 [size =\"13282304\"]\n  20 -> 30 [size =\"13282304\"]\n  20 -> 32 [size =\"13282304\"]\n  20 -> 37 [size =\"13282304\"]\n  21 [size=\"47964160\", alpha=\"0.12\", expect_size=\"23982080\"] \n  21 -> 26 [size =\"23982080\"]\n  21 -> 28 [size =\"23982080\"]\n  21 -> 32 [size =\"23982080\"]\n  21 -> 33 [size =\"23982080\"]\n  21 -> 35 [size =\"23982080\"]\n  21 -> 37 [size =\"23982080\"]\n  22 [size=\"32047104\", alpha=\"0.10\", expect_size=\"16023552\"] \n  22 -> 24 [size =\"16023552\"]\n  22 -> 25 [size =\"16023552\"]\n  22 -> 28 [size =\"16023552\"]\n  22 -> 29 [size =\"16023552\"]\n  22 -> 30 [size =\"16023552\"]\n  22 -> 31 [size =\"16023552\"]\n  22 -> 33 [size =\"16023552\"]\n  22 -> 34 [size =\"16023552\"]\n  22 -> 35 [size =\"16023552\"]\n  22 -> 37 [size =\"16023552\"]\n  23 [size=\"22274048\", alpha=\"0.05\", expect_size=\"11137024\"] \n  23 -> 24 [size =\"11137024\"]\n  23 -> 27 [size =\"11137024\"]\n  23 -> 28 [size =\"11137024\"]\n  23 -> 29 [size =\"11137024\"]\n  23 -> 32 [size =\"11137024\"]\n  23 -> 34 [size =\"11137024\"]\n  23 -> 35 [size =\"11137024\"]\n  23 -> 36 [size =\"11137024\"]\n  24 [size=\"45903872\", alpha=\"0.18\", expect_size=\"22951936\"] \n  25 [size=\"74151936\", alpha=\"0.02\", expect_size=\"37075968\"] \n  25 -> 38 [size =\"37075968\"]\n  26 [size=\"30746624\", alpha=\"0.02\", expect_size=\"15373312\"] \n  26 -> 38 [size =\"15373312\"]\n  26 -> 39 [size =\"15373312\"]\n  27 [size=\"35575808\", alpha=\"0.12\", expect_size=\"17787904\"] \n  27 -> 38 [size =\"17787904\"]\n  28 [size=\"69402624\", alpha=\"0.18\", expect_size=\"34701312\"] \n  28 -> 39 [size =\"34701312\"]\n  29 [size=\"25970688\", alpha=\"0.03\", expect_size=\"12985344\"] \n  30 [size=\"83478528\", alpha=\"0.11\", expect_size=\"41739264\"] \n  31 [size=\"88328192\", alpha=\"0.16\", expect_size=\"44164096\"] \n  32 [size=\"52365312\", alpha=\"0.03\", expect_size=\"26182656\"] \n  33 [size=\"98719744\", alpha=\"0.00\", expect_size=\"49359872\"] \n  33 -> 40 [size =\"49359872\"]\n  34 [size=\"29329408\", alpha=\"0.17\", expect_size=\"14664704\"] \n  35 [size=\"22122496\", alpha=\"0.05\", expect_size=\"11061248\"] \n  36 [size=\"29739008\", alpha=\"0.00\", expect_size=\"14869504\"] \n  36 -> 38 [size =\"14869504\"]\n  37 [size=\"38676480\", alpha=\"0.05\", expect_size=\"19338240\"] \n  38 [size=\"93554688\", alpha=\"0.09\", expect_size=\"46777344\"] \n  39 [size=\"86462464\", alpha=\"0.06\", expect_size=\"43231232\"] \n  40 [size=\"99309568\", alpha=\"0.07\", expect_size=\"49654784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136884907\", alpha=\"0.03\", expect_size=\"41065472\"] \n  1 -> 3 [size =\"41065472\"]\n  1 -> 4 [size =\"41065472\"]\n  2 [size=\"40082773\", alpha=\"0.17\", expect_size=\"12024832\"] \n  2 -> 3 [size =\"12024832\"]\n  2 -> 4 [size =\"12024832\"]\n  3 [size=\"101618347\", alpha=\"0.06\", expect_size=\"30485504\"] \n  3 -> 5 [size =\"30485504\"]\n  3 -> 7 [size =\"30485504\"]\n  4 [size=\"109226667\", alpha=\"0.11\", expect_size=\"32768000\"] \n  4 -> 5 [size =\"32768000\"]\n  4 -> 6 [size =\"32768000\"]\n  4 -> 7 [size =\"32768000\"]\n  5 [size=\"45175467\", alpha=\"0.12\", expect_size=\"13552640\"] \n  5 -> 8 [size =\"13552640\"]\n  6 [size=\"75700907\", alpha=\"0.17\", expect_size=\"22710272\"] \n  6 -> 9 [size =\"22710272\"]\n  7 [size=\"73823573\", alpha=\"0.06\", expect_size=\"22147072\"] \n  7 -> 8 [size =\"22147072\"]\n  8 [size=\"134871040\", alpha=\"0.19\", expect_size=\"40461312\"] \n  8 -> 10 [size =\"40461312\"]\n  8 -> 11 [size =\"40461312\"]\n  8 -> 12 [size =\"40461312\"]\n  9 [size=\"42397013\", alpha=\"0.03\", expect_size=\"12719104\"] \n  9 -> 10 [size =\"12719104\"]\n  9 -> 12 [size =\"12719104\"]\n  10 [size=\"39096320\", alpha=\"0.13\", expect_size=\"11728896\"] \n  10 -> 13 [size =\"11728896\"]\n  10 -> 14 [size =\"11728896\"]\n  10 -> 15 [size =\"11728896\"]\n  11 [size=\"172697600\", alpha=\"0.16\", expect_size=\"51809280\"] \n  11 -> 13 [size =\"51809280\"]\n  11 -> 14 [size =\"51809280\"]\n  12 [size=\"41536853\", alpha=\"0.00\", expect_size=\"12461056\"] \n  12 -> 13 [size =\"12461056\"]\n  12 -> 14 [size =\"12461056\"]\n  12 -> 15 [size =\"12461056\"]\n  13 [size=\"19664213\", alpha=\"0.20\", expect_size=\"5899264\"] \n  13 -> 16 [size =\"5899264\"]\n  14 [size=\"65914880\", alpha=\"0.10\", expect_size=\"19774464\"] \n  14 -> 16 [size =\"19774464\"]\n  14 -> 17 [size =\"19774464\"]\n  15 [size=\"148913493\", alpha=\"0.15\", expect_size=\"44674048\"] \n  15 -> 17 [size =\"44674048\"]\n  16 [size=\"82476373\", alpha=\"0.15\", expect_size=\"24742912\"] \n  16 -> 18 [size =\"24742912\"]\n  17 [size=\"58794667\", alpha=\"0.07\", expect_size=\"17638400\"] \n  17 -> 18 [size =\"17638400\"]\n  17 -> 19 [size =\"17638400\"]\n  18 [size=\"102430720\", alpha=\"0.12\", expect_size=\"30729216\"] \n  18 -> 21 [size =\"30729216\"]\n  18 -> 22 [size =\"30729216\"]\n  19 [size=\"94003200\", alpha=\"0.10\", expect_size=\"28200960\"] \n  19 -> 20 [size =\"28200960\"]\n  19 -> 21 [size =\"28200960\"]\n  19 -> 22 [size =\"28200960\"]\n  20 [size=\"115452587\", alpha=\"0.09\", expect_size=\"34635776\"] \n  20 -> 23 [size =\"34635776\"]\n  20 -> 24 [size =\"34635776\"]\n  20 -> 25 [size =\"34635776\"]\n  21 [size=\"57258667\", alpha=\"0.03\", expect_size=\"17177600\"] \n  21 -> 25 [size =\"17177600\"]\n  22 [size=\"27661653\", alpha=\"0.20\", expect_size=\"8298496\"] \n  22 -> 23 [size =\"8298496\"]\n  22 -> 24 [size =\"8298496\"]\n  22 -> 25 [size =\"8298496\"]\n  23 [size=\"30313813\", alpha=\"0.07\", expect_size=\"9094144\"] \n  23 -> 27 [size =\"9094144\"]\n  24 [size=\"26729813\", alpha=\"0.07\", expect_size=\"8018944\"] \n  24 -> 26 [size =\"8018944\"]\n  24 -> 27 [size =\"8018944\"]\n  25 [size=\"105543680\", alpha=\"0.09\", expect_size=\"31663104\"] \n  25 -> 26 [size =\"31663104\"]\n  26 [size=\"63689387\", alpha=\"0.19\", expect_size=\"19106816\"] \n  26 -> 28 [size =\"19106816\"]\n  26 -> 29 [size =\"19106816\"]\n  26 -> 30 [size =\"19106816\"]\n  27 [size=\"27248640\", alpha=\"0.17\", expect_size=\"8174592\"] \n  27 -> 28 [size =\"8174592\"]\n  27 -> 29 [size =\"8174592\"]\n  27 -> 30 [size =\"8174592\"]\n  28 [size=\"81336320\", alpha=\"0.09\", expect_size=\"24400896\"] \n  28 -> 31 [size =\"24400896\"]\n  29 [size=\"174049280\", alpha=\"0.04\", expect_size=\"52214784\"] \n  29 -> 31 [size =\"52214784\"]\n  29 -> 32 [size =\"52214784\"]\n  30 [size=\"96296960\", alpha=\"0.03\", expect_size=\"28889088\"] \n  30 -> 31 [size =\"28889088\"]\n  30 -> 32 [size =\"28889088\"]\n  31 [size=\"166372693\", alpha=\"0.00\", expect_size=\"49911808\"] \n  31 -> 33 [size =\"49911808\"]\n  31 -> 35 [size =\"49911808\"]\n  32 [size=\"31825920\", alpha=\"0.01\", expect_size=\"9547776\"] \n  32 -> 33 [size =\"9547776\"]\n  32 -> 34 [size =\"9547776\"]\n  32 -> 35 [size =\"9547776\"]\n  33 [size=\"29835947\", alpha=\"0.03\", expect_size=\"8950784\"] \n  33 -> 36 [size =\"8950784\"]\n  33 -> 37 [size =\"8950784\"]\n  34 [size=\"87261867\", alpha=\"0.10\", expect_size=\"26178560\"] \n  34 -> 36 [size =\"26178560\"]\n  34 -> 37 [size =\"26178560\"]\n  35 [size=\"138571093\", alpha=\"0.14\", expect_size=\"41571328\"] \n  35 -> 36 [size =\"41571328\"]\n  35 -> 37 [size =\"41571328\"]\n  36 [size=\"54173013\", alpha=\"0.07\", expect_size=\"16251904\"] \n  36 -> 38 [size =\"16251904\"]\n  36 -> 39 [size =\"16251904\"]\n  37 [size=\"49585493\", alpha=\"0.04\", expect_size=\"14875648\"] \n  37 -> 39 [size =\"14875648\"]\n  38 [size=\"23866027\", alpha=\"0.13\", expect_size=\"7159808\"] \n  38 -> 40 [size =\"7159808\"]\n  39 [size=\"94412800\", alpha=\"0.11\", expect_size=\"28323840\"] \n  39 -> 40 [size =\"28323840\"]\n  40 [size=\"128863573\", alpha=\"0.01\", expect_size=\"38659072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86353920\", alpha=\"0.14\", expect_size=\"25906176\"] \n  1 -> 2 [size =\"25906176\"]\n  2 [size=\"87244800\", alpha=\"0.14\", expect_size=\"26173440\"] \n  2 -> 3 [size =\"26173440\"]\n  3 [size=\"154678613\", alpha=\"0.00\", expect_size=\"46403584\"] \n  3 -> 4 [size =\"46403584\"]\n  4 [size=\"89777493\", alpha=\"0.17\", expect_size=\"26933248\"] \n  4 -> 5 [size =\"26933248\"]\n  5 [size=\"64051200\", alpha=\"0.02\", expect_size=\"19215360\"] \n  5 -> 6 [size =\"19215360\"]\n  6 [size=\"134348800\", alpha=\"0.13\", expect_size=\"40304640\"] \n  6 -> 7 [size =\"40304640\"]\n  7 [size=\"47445333\", alpha=\"0.20\", expect_size=\"14233600\"] \n  7 -> 8 [size =\"14233600\"]\n  8 [size=\"126624427\", alpha=\"0.17\", expect_size=\"37987328\"] \n  8 -> 9 [size =\"37987328\"]\n  9 [size=\"113602560\", alpha=\"0.11\", expect_size=\"34080768\"] \n  9 -> 10 [size =\"34080768\"]\n  10 [size=\"20469760\", alpha=\"0.15\", expect_size=\"6140928\"] \n  10 -> 11 [size =\"6140928\"]\n  11 [size=\"51626667\", alpha=\"0.18\", expect_size=\"15488000\"] \n  11 -> 12 [size =\"15488000\"]\n  12 [size=\"162205013\", alpha=\"0.12\", expect_size=\"48661504\"] \n  12 -> 13 [size =\"48661504\"]\n  13 [size=\"118493867\", alpha=\"0.01\", expect_size=\"35548160\"] \n  13 -> 14 [size =\"35548160\"]\n  14 [size=\"122238293\", alpha=\"0.10\", expect_size=\"36671488\"] \n  14 -> 15 [size =\"36671488\"]\n  15 [size=\"95252480\", alpha=\"0.05\", expect_size=\"28575744\"] \n  15 -> 16 [size =\"28575744\"]\n  16 [size=\"114797227\", alpha=\"0.05\", expect_size=\"34439168\"] \n  16 -> 17 [size =\"34439168\"]\n  17 [size=\"59542187\", alpha=\"0.10\", expect_size=\"17862656\"] \n  17 -> 18 [size =\"17862656\"]\n  18 [size=\"55999147\", alpha=\"0.15\", expect_size=\"16799744\"] \n  18 -> 19 [size =\"16799744\"]\n  19 [size=\"29341013\", alpha=\"0.19\", expect_size=\"8802304\"] \n  19 -> 20 [size =\"8802304\"]\n  20 [size=\"115002027\", alpha=\"0.15\", expect_size=\"34500608\"] \n  20 -> 21 [size =\"34500608\"]\n  21 [size=\"74543787\", alpha=\"0.19\", expect_size=\"22363136\"] \n  21 -> 22 [size =\"22363136\"]\n  22 [size=\"55531520\", alpha=\"0.12\", expect_size=\"16659456\"] \n  22 -> 23 [size =\"16659456\"]\n  23 [size=\"150975147\", alpha=\"0.03\", expect_size=\"45292544\"] \n  23 -> 24 [size =\"45292544\"]\n  24 [size=\"160092160\", alpha=\"0.03\", expect_size=\"48027648\"] \n  24 -> 25 [size =\"48027648\"]\n  25 [size=\"83370667\", alpha=\"0.08\", expect_size=\"25011200\"] \n  25 -> 26 [size =\"25011200\"]\n  26 [size=\"122630827\", alpha=\"0.09\", expect_size=\"36789248\"] \n  26 -> 27 [size =\"36789248\"]\n  27 [size=\"163543040\", alpha=\"0.13\", expect_size=\"49062912\"] \n  27 -> 28 [size =\"49062912\"]\n  28 [size=\"86251520\", alpha=\"0.12\", expect_size=\"25875456\"] \n  28 -> 29 [size =\"25875456\"]\n  29 [size=\"49715200\", alpha=\"0.02\", expect_size=\"14914560\"] \n  29 -> 30 [size =\"14914560\"]\n  30 [size=\"42909013\", alpha=\"0.13\", expect_size=\"12872704\"] \n  30 -> 31 [size =\"12872704\"]\n  31 [size=\"158436693\", alpha=\"0.08\", expect_size=\"47531008\"] \n  31 -> 32 [size =\"47531008\"]\n  32 [size=\"150609920\", alpha=\"0.02\", expect_size=\"45182976\"] \n  32 -> 33 [size =\"45182976\"]\n  33 [size=\"89193813\", alpha=\"0.09\", expect_size=\"26758144\"] \n  33 -> 34 [size =\"26758144\"]\n  34 [size=\"111390720\", alpha=\"0.08\", expect_size=\"33417216\"] \n  34 -> 35 [size =\"33417216\"]\n  35 [size=\"132225707\", alpha=\"0.18\", expect_size=\"39667712\"] \n  35 -> 36 [size =\"39667712\"]\n  36 [size=\"40977067\", alpha=\"0.00\", expect_size=\"12293120\"] \n  36 -> 37 [size =\"12293120\"]\n  37 [size=\"111817387\", alpha=\"0.08\", expect_size=\"33545216\"] \n  37 -> 38 [size =\"33545216\"]\n  38 [size=\"60132693\", alpha=\"0.20\", expect_size=\"18039808\"] \n  38 -> 39 [size =\"18039808\"]\n  39 [size=\"152367787\", alpha=\"0.14\", expect_size=\"45710336\"] \n  39 -> 40 [size =\"45710336\"]\n  40 [size=\"170072747\", alpha=\"0.20\", expect_size=\"51021824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31433387\", alpha=\"0.20\", expect_size=\"9430016\"] \n  1 -> 4 [size =\"9430016\"]\n  1 -> 5 [size =\"9430016\"]\n  2 [size=\"69273600\", alpha=\"0.19\", expect_size=\"20782080\"] \n  2 -> 5 [size =\"20782080\"]\n  3 [size=\"47629653\", alpha=\"0.18\", expect_size=\"14288896\"] \n  3 -> 4 [size =\"14288896\"]\n  3 -> 5 [size =\"14288896\"]\n  4 [size=\"54480213\", alpha=\"0.07\", expect_size=\"16344064\"] \n  4 -> 7 [size =\"16344064\"]\n  4 -> 8 [size =\"16344064\"]\n  5 [size=\"84674560\", alpha=\"0.15\", expect_size=\"25402368\"] \n  5 -> 6 [size =\"25402368\"]\n  5 -> 7 [size =\"25402368\"]\n  5 -> 8 [size =\"25402368\"]\n  6 [size=\"83104427\", alpha=\"0.05\", expect_size=\"24931328\"] \n  7 [size=\"92586667\", alpha=\"0.04\", expect_size=\"27776000\"] \n  7 -> 9 [size =\"27776000\"]\n  7 -> 10 [size =\"27776000\"]\n  8 [size=\"152640853\", alpha=\"0.02\", expect_size=\"45792256\"] \n  8 -> 10 [size =\"45792256\"]\n  8 -> 10 [size =\"45792256\"]\n  9 [size=\"77066240\", alpha=\"0.18\", expect_size=\"23119872\"] \n  9 -> 11 [size =\"23119872\"]\n  9 -> 12 [size =\"23119872\"]\n  9 -> 13 [size =\"23119872\"]\n  10 [size=\"47104000\", alpha=\"0.19\", expect_size=\"14131200\"] \n  10 -> 11 [size =\"14131200\"]\n  10 -> 12 [size =\"14131200\"]\n  10 -> 13 [size =\"14131200\"]\n  11 [size=\"23418880\", alpha=\"0.05\", expect_size=\"7025664\"] \n  11 -> 15 [size =\"7025664\"]\n  12 [size=\"19575467\", alpha=\"0.04\", expect_size=\"5872640\"] \n  12 -> 14 [size =\"5872640\"]\n  12 -> 15 [size =\"5872640\"]\n  12 -> 16 [size =\"5872640\"]\n  13 [size=\"168523093\", alpha=\"0.05\", expect_size=\"50556928\"] \n  13 -> 14 [size =\"50556928\"]\n  13 -> 15 [size =\"50556928\"]\n  13 -> 16 [size =\"50556928\"]\n  14 [size=\"154156373\", alpha=\"0.04\", expect_size=\"46246912\"] \n  14 -> 17 [size =\"46246912\"]\n  14 -> 18 [size =\"46246912\"]\n  15 [size=\"50578773\", alpha=\"0.13\", expect_size=\"15173632\"] \n  15 -> 17 [size =\"15173632\"]\n  15 -> 18 [size =\"15173632\"]\n  16 [size=\"166809600\", alpha=\"0.09\", expect_size=\"50042880\"] \n  16 -> 17 [size =\"50042880\"]\n  16 -> 18 [size =\"50042880\"]\n  17 [size=\"50206720\", alpha=\"0.00\", expect_size=\"15062016\"] \n  17 -> 19 [size =\"15062016\"]\n  18 [size=\"80360107\", alpha=\"0.13\", expect_size=\"24108032\"] \n  18 -> 20 [size =\"24108032\"]\n  19 [size=\"95105707\", alpha=\"0.14\", expect_size=\"28531712\"] \n  19 -> 22 [size =\"28531712\"]\n  19 -> 23 [size =\"28531712\"]\n  20 [size=\"83090773\", alpha=\"0.20\", expect_size=\"24927232\"] \n  20 -> 21 [size =\"24927232\"]\n  20 -> 22 [size =\"24927232\"]\n  20 -> 23 [size =\"24927232\"]\n  21 [size=\"71642453\", alpha=\"0.07\", expect_size=\"21492736\"] \n  21 -> 25 [size =\"21492736\"]\n  21 -> 26 [size =\"21492736\"]\n  22 [size=\"112411307\", alpha=\"0.01\", expect_size=\"33723392\"] \n  22 -> 24 [size =\"33723392\"]\n  22 -> 25 [size =\"33723392\"]\n  22 -> 26 [size =\"33723392\"]\n  23 [size=\"145537707\", alpha=\"0.18\", expect_size=\"43661312\"] \n  23 -> 24 [size =\"43661312\"]\n  23 -> 25 [size =\"43661312\"]\n  23 -> 26 [size =\"43661312\"]\n  24 [size=\"27770880\", alpha=\"0.01\", expect_size=\"8331264\"] \n  24 -> 28 [size =\"8331264\"]\n  25 [size=\"58978987\", alpha=\"0.11\", expect_size=\"17693696\"] \n  25 -> 27 [size =\"17693696\"]\n  25 -> 28 [size =\"17693696\"]\n  26 [size=\"162587307\", alpha=\"0.11\", expect_size=\"48776192\"] \n  26 -> 27 [size =\"48776192\"]\n  26 -> 28 [size =\"48776192\"]\n  27 [size=\"79278080\", alpha=\"0.19\", expect_size=\"23783424\"] \n  27 -> 29 [size =\"23783424\"]\n  27 -> 30 [size =\"23783424\"]\n  27 -> 31 [size =\"23783424\"]\n  28 [size=\"81172480\", alpha=\"0.05\", expect_size=\"24351744\"] \n  28 -> 29 [size =\"24351744\"]\n  28 -> 30 [size =\"24351744\"]\n  28 -> 31 [size =\"24351744\"]\n  29 [size=\"22835200\", alpha=\"0.19\", expect_size=\"6850560\"] \n  29 -> 32 [size =\"6850560\"]\n  29 -> 33 [size =\"6850560\"]\n  29 -> 34 [size =\"6850560\"]\n  30 [size=\"133683200\", alpha=\"0.16\", expect_size=\"40104960\"] \n  30 -> 32 [size =\"40104960\"]\n  30 -> 34 [size =\"40104960\"]\n  31 [size=\"130071893\", alpha=\"0.14\", expect_size=\"39021568\"] \n  31 -> 33 [size =\"39021568\"]\n  31 -> 34 [size =\"39021568\"]\n  32 [size=\"25965227\", alpha=\"0.13\", expect_size=\"7789568\"] \n  32 -> 35 [size =\"7789568\"]\n  33 [size=\"30440107\", alpha=\"0.10\", expect_size=\"9132032\"] \n  33 -> 36 [size =\"9132032\"]\n  34 [size=\"173663573\", alpha=\"0.05\", expect_size=\"52099072\"] \n  34 -> 36 [size =\"52099072\"]\n  35 [size=\"20773547\", alpha=\"0.04\", expect_size=\"6232064\"] \n  35 -> 37 [size =\"6232064\"]\n  36 [size=\"110834347\", alpha=\"0.03\", expect_size=\"33250304\"] \n  36 -> 37 [size =\"33250304\"]\n  36 -> 38 [size =\"33250304\"]\n  37 [size=\"37614933\", alpha=\"0.05\", expect_size=\"11284480\"] \n  37 -> 39 [size =\"11284480\"]\n  37 -> 40 [size =\"11284480\"]\n  38 [size=\"33512107\", alpha=\"0.15\", expect_size=\"10053632\"] \n  38 -> 39 [size =\"10053632\"]\n  38 -> 40 [size =\"10053632\"]\n  39 [size=\"76410880\", alpha=\"0.15\", expect_size=\"22923264\"] \n  40 [size=\"68608000\", alpha=\"0.04\", expect_size=\"20582400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166017707\", alpha=\"0.17\", expect_size=\"49805312\"] \n  1 -> 4 [size =\"49805312\"]\n  1 -> 5 [size =\"49805312\"]\n  2 [size=\"118753280\", alpha=\"0.11\", expect_size=\"35625984\"] \n  2 -> 3 [size =\"35625984\"]\n  2 -> 4 [size =\"35625984\"]\n  3 [size=\"31064747\", alpha=\"0.17\", expect_size=\"9319424\"] \n  3 -> 6 [size =\"9319424\"]\n  3 -> 8 [size =\"9319424\"]\n  4 [size=\"45895680\", alpha=\"0.14\", expect_size=\"13768704\"] \n  4 -> 7 [size =\"13768704\"]\n  5 [size=\"32634880\", alpha=\"0.09\", expect_size=\"9790464\"] \n  5 -> 6 [size =\"9790464\"]\n  5 -> 7 [size =\"9790464\"]\n  5 -> 8 [size =\"9790464\"]\n  6 [size=\"64634880\", alpha=\"0.01\", expect_size=\"19390464\"] \n  7 [size=\"95539200\", alpha=\"0.19\", expect_size=\"28661760\"] \n  7 -> 9 [size =\"28661760\"]\n  8 [size=\"32481280\", alpha=\"0.19\", expect_size=\"9744384\"] \n  8 -> 10 [size =\"9744384\"]\n  9 [size=\"139929600\", alpha=\"0.12\", expect_size=\"41978880\"] \n  9 -> 11 [size =\"41978880\"]\n  9 -> 12 [size =\"41978880\"]\n  10 [size=\"77851307\", alpha=\"0.02\", expect_size=\"23355392\"] \n  10 -> 12 [size =\"23355392\"]\n  11 [size=\"40195413\", alpha=\"0.19\", expect_size=\"12058624\"] \n  11 -> 13 [size =\"12058624\"]\n  11 -> 14 [size =\"12058624\"]\n  12 [size=\"174277973\", alpha=\"0.10\", expect_size=\"52283392\"] \n  12 -> 13 [size =\"52283392\"]\n  12 -> 14 [size =\"52283392\"]\n  12 -> 15 [size =\"52283392\"]\n  13 [size=\"102587733\", alpha=\"0.16\", expect_size=\"30776320\"] \n  13 -> 18 [size =\"30776320\"]\n  14 [size=\"79711573\", alpha=\"0.13\", expect_size=\"23913472\"] \n  14 -> 16 [size =\"23913472\"]\n  14 -> 17 [size =\"23913472\"]\n  15 [size=\"35160747\", alpha=\"0.04\", expect_size=\"10548224\"] \n  15 -> 17 [size =\"10548224\"]\n  15 -> 18 [size =\"10548224\"]\n  16 [size=\"106321920\", alpha=\"0.09\", expect_size=\"31896576\"] \n  16 -> 19 [size =\"31896576\"]\n  17 [size=\"117951147\", alpha=\"0.16\", expect_size=\"35385344\"] \n  17 -> 19 [size =\"35385344\"]\n  17 -> 21 [size =\"35385344\"]\n  18 [size=\"109233493\", alpha=\"0.16\", expect_size=\"32770048\"] \n  18 -> 20 [size =\"32770048\"]\n  18 -> 21 [size =\"32770048\"]\n  19 [size=\"101816320\", alpha=\"0.06\", expect_size=\"30544896\"] \n  19 -> 22 [size =\"30544896\"]\n  20 [size=\"39038293\", alpha=\"0.01\", expect_size=\"11711488\"] \n  20 -> 22 [size =\"11711488\"]\n  20 -> 23 [size =\"11711488\"]\n  21 [size=\"51790507\", alpha=\"0.15\", expect_size=\"15537152\"] \n  22 [size=\"41376427\", alpha=\"0.02\", expect_size=\"12412928\"] \n  22 -> 24 [size =\"12412928\"]\n  23 [size=\"123279360\", alpha=\"0.11\", expect_size=\"36983808\"] \n  23 -> 24 [size =\"36983808\"]\n  23 -> 25 [size =\"36983808\"]\n  23 -> 26 [size =\"36983808\"]\n  24 [size=\"90668373\", alpha=\"0.04\", expect_size=\"27200512\"] \n  24 -> 27 [size =\"27200512\"]\n  24 -> 28 [size =\"27200512\"]\n  25 [size=\"35048107\", alpha=\"0.18\", expect_size=\"10514432\"] \n  25 -> 27 [size =\"10514432\"]\n  26 [size=\"69485227\", alpha=\"0.19\", expect_size=\"20845568\"] \n  26 -> 27 [size =\"20845568\"]\n  26 -> 28 [size =\"20845568\"]\n  27 [size=\"142776320\", alpha=\"0.09\", expect_size=\"42832896\"] \n  27 -> 30 [size =\"42832896\"]\n  27 -> 31 [size =\"42832896\"]\n  28 [size=\"112510293\", alpha=\"0.01\", expect_size=\"33753088\"] \n  28 -> 29 [size =\"33753088\"]\n  28 -> 30 [size =\"33753088\"]\n  29 [size=\"82664107\", alpha=\"0.09\", expect_size=\"24799232\"] \n  29 -> 32 [size =\"24799232\"]\n  29 -> 33 [size =\"24799232\"]\n  29 -> 34 [size =\"24799232\"]\n  30 [size=\"127528960\", alpha=\"0.05\", expect_size=\"38258688\"] \n  30 -> 34 [size =\"38258688\"]\n  31 [size=\"136052053\", alpha=\"0.03\", expect_size=\"40815616\"] \n  31 -> 34 [size =\"40815616\"]\n  32 [size=\"99481600\", alpha=\"0.01\", expect_size=\"29844480\"] \n  32 -> 35 [size =\"29844480\"]\n  32 -> 36 [size =\"29844480\"]\n  33 [size=\"119101440\", alpha=\"0.10\", expect_size=\"35730432\"] \n  33 -> 36 [size =\"35730432\"]\n  34 [size=\"51217067\", alpha=\"0.07\", expect_size=\"15365120\"] \n  34 -> 35 [size =\"15365120\"]\n  34 -> 36 [size =\"15365120\"]\n  35 [size=\"81530880\", alpha=\"0.07\", expect_size=\"24459264\"] \n  35 -> 37 [size =\"24459264\"]\n  35 -> 38 [size =\"24459264\"]\n  36 [size=\"67921920\", alpha=\"0.17\", expect_size=\"20376576\"] \n  36 -> 38 [size =\"20376576\"]\n  37 [size=\"57541973\", alpha=\"0.01\", expect_size=\"17262592\"] \n  37 -> 39 [size =\"17262592\"]\n  37 -> 40 [size =\"17262592\"]\n  38 [size=\"128464213\", alpha=\"0.16\", expect_size=\"38539264\"] \n  38 -> 40 [size =\"38539264\"]\n  39 [size=\"138407253\", alpha=\"0.02\", expect_size=\"41522176\"] \n  40 [size=\"52541440\", alpha=\"0.10\", expect_size=\"15762432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131208533\", alpha=\"0.09\", expect_size=\"39362560\"] \n  1 -> 34 [size =\"39362560\"]\n  1 -> 37 [size =\"39362560\"]\n  1 -> 38 [size =\"39362560\"]\n  1 -> 39 [size =\"39362560\"]\n  2 [size=\"144517120\", alpha=\"0.15\", expect_size=\"43355136\"] \n  2 -> 38 [size =\"43355136\"]\n  2 -> 39 [size =\"43355136\"]\n  3 [size=\"35365547\", alpha=\"0.10\", expect_size=\"10609664\"] \n  3 -> 34 [size =\"10609664\"]\n  3 -> 36 [size =\"10609664\"]\n  3 -> 37 [size =\"10609664\"]\n  3 -> 38 [size =\"10609664\"]\n  3 -> 39 [size =\"10609664\"]\n  4 [size=\"90637653\", alpha=\"0.08\", expect_size=\"27191296\"] \n  4 -> 34 [size =\"27191296\"]\n  4 -> 36 [size =\"27191296\"]\n  4 -> 38 [size =\"27191296\"]\n  5 [size=\"89118720\", alpha=\"0.16\", expect_size=\"26735616\"] \n  5 -> 37 [size =\"26735616\"]\n  5 -> 38 [size =\"26735616\"]\n  6 [size=\"75956907\", alpha=\"0.09\", expect_size=\"22787072\"] \n  6 -> 36 [size =\"22787072\"]\n  6 -> 37 [size =\"22787072\"]\n  7 [size=\"130809173\", alpha=\"0.10\", expect_size=\"39242752\"] \n  7 -> 37 [size =\"39242752\"]\n  7 -> 37 [size =\"39242752\"]\n  8 [size=\"17670827\", alpha=\"0.03\", expect_size=\"5301248\"] \n  8 -> 34 [size =\"5301248\"]\n  8 -> 37 [size =\"5301248\"]\n  8 -> 39 [size =\"5301248\"]\n  9 [size=\"58081280\", alpha=\"0.16\", expect_size=\"17424384\"] \n  9 -> 34 [size =\"17424384\"]\n  9 -> 38 [size =\"17424384\"]\n  10 [size=\"46233600\", alpha=\"0.14\", expect_size=\"13870080\"] \n  10 -> 34 [size =\"13870080\"]\n  10 -> 36 [size =\"13870080\"]\n  10 -> 38 [size =\"13870080\"]\n  11 [size=\"45933227\", alpha=\"0.11\", expect_size=\"13779968\"] \n  11 -> 37 [size =\"13779968\"]\n  11 -> 38 [size =\"13779968\"]\n  11 -> 39 [size =\"13779968\"]\n  12 [size=\"118254933\", alpha=\"0.17\", expect_size=\"35476480\"] \n  12 -> 37 [size =\"35476480\"]\n  12 -> 38 [size =\"35476480\"]\n  12 -> 39 [size =\"35476480\"]\n  13 [size=\"78636373\", alpha=\"0.04\", expect_size=\"23590912\"] \n  13 -> 34 [size =\"23590912\"]\n  13 -> 35 [size =\"23590912\"]\n  13 -> 38 [size =\"23590912\"]\n  14 [size=\"155388587\", alpha=\"0.02\", expect_size=\"46616576\"] \n  14 -> 34 [size =\"46616576\"]\n  14 -> 35 [size =\"46616576\"]\n  14 -> 39 [size =\"46616576\"]\n  15 [size=\"60071253\", alpha=\"0.16\", expect_size=\"18021376\"] \n  15 -> 35 [size =\"18021376\"]\n  15 -> 36 [size =\"18021376\"]\n  15 -> 37 [size =\"18021376\"]\n  15 -> 38 [size =\"18021376\"]\n  15 -> 39 [size =\"18021376\"]\n  16 [size=\"29224960\", alpha=\"0.00\", expect_size=\"8767488\"] \n  16 -> 37 [size =\"8767488\"]\n  16 -> 38 [size =\"8767488\"]\n  16 -> 39 [size =\"8767488\"]\n  17 [size=\"102147413\", alpha=\"0.13\", expect_size=\"30644224\"] \n  17 -> 34 [size =\"30644224\"]\n  17 -> 36 [size =\"30644224\"]\n  17 -> 38 [size =\"30644224\"]\n  17 -> 39 [size =\"30644224\"]\n  18 [size=\"21585920\", alpha=\"0.09\", expect_size=\"6475776\"] \n  18 -> 36 [size =\"6475776\"]\n  18 -> 38 [size =\"6475776\"]\n  18 -> 38 [size =\"6475776\"]\n  18 -> 39 [size =\"6475776\"]\n  18 -> 40 [size =\"6475776\"]\n  19 [size=\"42775893\", alpha=\"0.11\", expect_size=\"12832768\"] \n  19 -> 36 [size =\"12832768\"]\n  19 -> 37 [size =\"12832768\"]\n  19 -> 39 [size =\"12832768\"]\n  20 [size=\"164891307\", alpha=\"0.15\", expect_size=\"49467392\"] \n  20 -> 36 [size =\"49467392\"]\n  20 -> 38 [size =\"49467392\"]\n  20 -> 39 [size =\"49467392\"]\n  21 [size=\"117067093\", alpha=\"0.13\", expect_size=\"35120128\"] \n  21 -> 36 [size =\"35120128\"]\n  21 -> 37 [size =\"35120128\"]\n  21 -> 38 [size =\"35120128\"]\n  21 -> 40 [size =\"35120128\"]\n  22 [size=\"43414187\", alpha=\"0.07\", expect_size=\"13024256\"] \n  22 -> 34 [size =\"13024256\"]\n  22 -> 38 [size =\"13024256\"]\n  22 -> 39 [size =\"13024256\"]\n  22 -> 40 [size =\"13024256\"]\n  23 [size=\"20066987\", alpha=\"0.03\", expect_size=\"6020096\"] \n  23 -> 37 [size =\"6020096\"]\n  23 -> 39 [size =\"6020096\"]\n  24 [size=\"51889493\", alpha=\"0.09\", expect_size=\"15566848\"] \n  24 -> 34 [size =\"15566848\"]\n  24 -> 36 [size =\"15566848\"]\n  24 -> 38 [size =\"15566848\"]\n  24 -> 39 [size =\"15566848\"]\n  25 [size=\"68850347\", alpha=\"0.03\", expect_size=\"20655104\"] \n  25 -> 34 [size =\"20655104\"]\n  25 -> 37 [size =\"20655104\"]\n  25 -> 38 [size =\"20655104\"]\n  25 -> 39 [size =\"20655104\"]\n  26 [size=\"34945707\", alpha=\"0.06\", expect_size=\"10483712\"] \n  26 -> 37 [size =\"10483712\"]\n  26 -> 38 [size =\"10483712\"]\n  26 -> 38 [size =\"10483712\"]\n  26 -> 39 [size =\"10483712\"]\n  27 [size=\"37946027\", alpha=\"0.02\", expect_size=\"11383808\"] \n  27 -> 36 [size =\"11383808\"]\n  27 -> 37 [size =\"11383808\"]\n  27 -> 38 [size =\"11383808\"]\n  27 -> 39 [size =\"11383808\"]\n  28 [size=\"142701227\", alpha=\"0.19\", expect_size=\"42810368\"] \n  28 -> 36 [size =\"42810368\"]\n  28 -> 37 [size =\"42810368\"]\n  28 -> 38 [size =\"42810368\"]\n  28 -> 40 [size =\"42810368\"]\n  29 [size=\"59699200\", alpha=\"0.01\", expect_size=\"17909760\"] \n  29 -> 36 [size =\"17909760\"]\n  29 -> 37 [size =\"17909760\"]\n  29 -> 40 [size =\"17909760\"]\n  30 [size=\"149381120\", alpha=\"0.06\", expect_size=\"44814336\"] \n  30 -> 36 [size =\"44814336\"]\n  30 -> 37 [size =\"44814336\"]\n  30 -> 39 [size =\"44814336\"]\n  31 [size=\"108786347\", alpha=\"0.15\", expect_size=\"32635904\"] \n  31 -> 34 [size =\"32635904\"]\n  31 -> 36 [size =\"32635904\"]\n  31 -> 37 [size =\"32635904\"]\n  31 -> 38 [size =\"32635904\"]\n  32 [size=\"51643733\", alpha=\"0.17\", expect_size=\"15493120\"] \n  32 -> 34 [size =\"15493120\"]\n  32 -> 36 [size =\"15493120\"]\n  32 -> 37 [size =\"15493120\"]\n  32 -> 40 [size =\"15493120\"]\n  33 [size=\"104997547\", alpha=\"0.07\", expect_size=\"31499264\"] \n  33 -> 37 [size =\"31499264\"]\n  34 [size=\"129447253\", alpha=\"0.14\", expect_size=\"38834176\"] \n  35 [size=\"40878080\", alpha=\"0.06\", expect_size=\"12263424\"] \n  36 [size=\"68215467\", alpha=\"0.00\", expect_size=\"20464640\"] \n  37 [size=\"112653653\", alpha=\"0.05\", expect_size=\"33796096\"] \n  38 [size=\"130242560\", alpha=\"0.11\", expect_size=\"39072768\"] \n  39 [size=\"121176747\", alpha=\"0.19\", expect_size=\"36353024\"] \n  40 [size=\"126061227\", alpha=\"0.07\", expect_size=\"37818368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53816320\", alpha=\"0.11\", expect_size=\"21526528\"] \n  1 -> 10 [size =\"21526528\"]\n  2 [size=\"14878720\", alpha=\"0.14\", expect_size=\"5951488\"] \n  2 -> 8 [size =\"5951488\"]\n  2 -> 9 [size =\"5951488\"]\n  2 -> 11 [size =\"5951488\"]\n  3 [size=\"72911360\", alpha=\"0.02\", expect_size=\"29164544\"] \n  3 -> 7 [size =\"29164544\"]\n  3 -> 8 [size =\"29164544\"]\n  3 -> 9 [size =\"29164544\"]\n  4 [size=\"93104640\", alpha=\"0.13\", expect_size=\"37241856\"] \n  4 -> 7 [size =\"37241856\"]\n  4 -> 9 [size =\"37241856\"]\n  4 -> 10 [size =\"37241856\"]\n  5 [size=\"48519680\", alpha=\"0.15\", expect_size=\"19407872\"] \n  5 -> 8 [size =\"19407872\"]\n  5 -> 9 [size =\"19407872\"]\n  5 -> 10 [size =\"19407872\"]\n  6 [size=\"61291520\", alpha=\"0.06\", expect_size=\"24516608\"] \n  6 -> 7 [size =\"24516608\"]\n  6 -> 10 [size =\"24516608\"]\n  7 [size=\"26191360\", alpha=\"0.10\", expect_size=\"10476544\"] \n  7 -> 14 [size =\"10476544\"]\n  7 -> 17 [size =\"10476544\"]\n  8 [size=\"69967360\", alpha=\"0.09\", expect_size=\"27986944\"] \n  8 -> 12 [size =\"27986944\"]\n  8 -> 14 [size =\"27986944\"]\n  8 -> 15 [size =\"27986944\"]\n  9 [size=\"27471360\", alpha=\"0.05\", expect_size=\"10988544\"] \n  9 -> 14 [size =\"10988544\"]\n  9 -> 15 [size =\"10988544\"]\n  9 -> 17 [size =\"10988544\"]\n  9 -> 18 [size =\"10988544\"]\n  10 [size=\"84108800\", alpha=\"0.00\", expect_size=\"33643520\"] \n  10 -> 13 [size =\"33643520\"]\n  10 -> 14 [size =\"33643520\"]\n  10 -> 15 [size =\"33643520\"]\n  10 -> 16 [size =\"33643520\"]\n  10 -> 18 [size =\"33643520\"]\n  11 [size=\"30648320\", alpha=\"0.15\", expect_size=\"12259328\"] \n  11 -> 13 [size =\"12259328\"]\n  11 -> 15 [size =\"12259328\"]\n  11 -> 16 [size =\"12259328\"]\n  12 [size=\"92695040\", alpha=\"0.01\", expect_size=\"37078016\"] \n  12 -> 19 [size =\"37078016\"]\n  12 -> 20 [size =\"37078016\"]\n  13 [size=\"59107840\", alpha=\"0.10\", expect_size=\"23643136\"] \n  13 -> 19 [size =\"23643136\"]\n  13 -> 20 [size =\"23643136\"]\n  14 [size=\"71434240\", alpha=\"0.08\", expect_size=\"28573696\"] \n  14 -> 21 [size =\"28573696\"]\n  14 -> 22 [size =\"28573696\"]\n  15 [size=\"27978240\", alpha=\"0.16\", expect_size=\"11191296\"] \n  15 -> 19 [size =\"11191296\"]\n  15 -> 21 [size =\"11191296\"]\n  15 -> 22 [size =\"11191296\"]\n  16 [size=\"118612480\", alpha=\"0.11\", expect_size=\"47444992\"] \n  16 -> 20 [size =\"47444992\"]\n  16 -> 21 [size =\"47444992\"]\n  17 [size=\"33817600\", alpha=\"0.05\", expect_size=\"13527040\"] \n  17 -> 20 [size =\"13527040\"]\n  17 -> 21 [size =\"13527040\"]\n  18 [size=\"93757440\", alpha=\"0.12\", expect_size=\"37502976\"] \n  18 -> 20 [size =\"37502976\"]\n  18 -> 23 [size =\"37502976\"]\n  19 [size=\"26178560\", alpha=\"0.05\", expect_size=\"10471424\"] \n  19 -> 25 [size =\"10471424\"]\n  19 -> 29 [size =\"10471424\"]\n  20 [size=\"56916480\", alpha=\"0.15\", expect_size=\"22766592\"] \n  20 -> 24 [size =\"22766592\"]\n  20 -> 25 [size =\"22766592\"]\n  20 -> 26 [size =\"22766592\"]\n  20 -> 28 [size =\"22766592\"]\n  20 -> 29 [size =\"22766592\"]\n  20 -> 30 [size =\"22766592\"]\n  21 [size=\"58810880\", alpha=\"0.12\", expect_size=\"23524352\"] \n  21 -> 27 [size =\"23524352\"]\n  21 -> 28 [size =\"23524352\"]\n  21 -> 29 [size =\"23524352\"]\n  21 -> 30 [size =\"23524352\"]\n  22 [size=\"29114880\", alpha=\"0.09\", expect_size=\"11645952\"] \n  22 -> 27 [size =\"11645952\"]\n  22 -> 28 [size =\"11645952\"]\n  22 -> 29 [size =\"11645952\"]\n  23 [size=\"34572800\", alpha=\"0.17\", expect_size=\"13829120\"] \n  23 -> 25 [size =\"13829120\"]\n  23 -> 26 [size =\"13829120\"]\n  23 -> 27 [size =\"13829120\"]\n  23 -> 28 [size =\"13829120\"]\n  24 [size=\"93071360\", alpha=\"0.18\", expect_size=\"37228544\"] \n  24 -> 31 [size =\"37228544\"]\n  24 -> 33 [size =\"37228544\"]\n  24 -> 34 [size =\"37228544\"]\n  25 [size=\"23406080\", alpha=\"0.05\", expect_size=\"9362432\"] \n  25 -> 33 [size =\"9362432\"]\n  25 -> 34 [size =\"9362432\"]\n  25 -> 35 [size =\"9362432\"]\n  26 [size=\"116666880\", alpha=\"0.20\", expect_size=\"46666752\"] \n  26 -> 33 [size =\"46666752\"]\n  27 [size=\"63941120\", alpha=\"0.17\", expect_size=\"25576448\"] \n  27 -> 32 [size =\"25576448\"]\n  28 [size=\"93836800\", alpha=\"0.04\", expect_size=\"37534720\"] \n  28 -> 32 [size =\"37534720\"]\n  28 -> 33 [size =\"37534720\"]\n  28 -> 35 [size =\"37534720\"]\n  29 [size=\"45585920\", alpha=\"0.13\", expect_size=\"18234368\"] \n  29 -> 31 [size =\"18234368\"]\n  29 -> 32 [size =\"18234368\"]\n  29 -> 33 [size =\"18234368\"]\n  29 -> 35 [size =\"18234368\"]\n  30 [size=\"76001280\", alpha=\"0.15\", expect_size=\"30400512\"] \n  30 -> 31 [size =\"30400512\"]\n  30 -> 32 [size =\"30400512\"]\n  30 -> 35 [size =\"30400512\"]\n  30 -> 35 [size =\"30400512\"]\n  30 -> 36 [size =\"30400512\"]\n  31 [size=\"47516160\", alpha=\"0.19\", expect_size=\"19006464\"] \n  31 -> 37 [size =\"19006464\"]\n  32 [size=\"118807040\", alpha=\"0.17\", expect_size=\"47522816\"] \n  32 -> 37 [size =\"47522816\"]\n  32 -> 38 [size =\"47522816\"]\n  32 -> 40 [size =\"47522816\"]\n  33 [size=\"55713280\", alpha=\"0.03\", expect_size=\"22285312\"] \n  33 -> 38 [size =\"22285312\"]\n  33 -> 39 [size =\"22285312\"]\n  34 [size=\"36008960\", alpha=\"0.18\", expect_size=\"14403584\"] \n  34 -> 38 [size =\"14403584\"]\n  35 [size=\"21726720\", alpha=\"0.16\", expect_size=\"8690688\"] \n  35 -> 37 [size =\"8690688\"]\n  36 [size=\"48279040\", alpha=\"0.12\", expect_size=\"19311616\"] \n  36 -> 39 [size =\"19311616\"]\n  37 [size=\"45890560\", alpha=\"0.12\", expect_size=\"18356224\"] \n  38 [size=\"27645440\", alpha=\"0.05\", expect_size=\"11058176\"] \n  39 [size=\"50403840\", alpha=\"0.00\", expect_size=\"20161536\"] \n  40 [size=\"128532480\", alpha=\"0.03\", expect_size=\"51412992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75957760\", alpha=\"0.11\", expect_size=\"30383104\"] \n  1 -> 3 [size =\"30383104\"]\n  2 [size=\"118630400\", alpha=\"0.10\", expect_size=\"47452160\"] \n  2 -> 3 [size =\"47452160\"]\n  2 -> 4 [size =\"47452160\"]\n  3 [size=\"102950400\", alpha=\"0.13\", expect_size=\"41180160\"] \n  3 -> 5 [size =\"41180160\"]\n  3 -> 6 [size =\"41180160\"]\n  4 [size=\"122158080\", alpha=\"0.10\", expect_size=\"48863232\"] \n  4 -> 5 [size =\"48863232\"]\n  4 -> 6 [size =\"48863232\"]\n  5 [size=\"94417920\", alpha=\"0.13\", expect_size=\"37767168\"] \n  5 -> 7 [size =\"37767168\"]\n  5 -> 8 [size =\"37767168\"]\n  6 [size=\"28858880\", alpha=\"0.17\", expect_size=\"11543552\"] \n  6 -> 8 [size =\"11543552\"]\n  7 [size=\"52876800\", alpha=\"0.16\", expect_size=\"21150720\"] \n  7 -> 9 [size =\"21150720\"]\n  7 -> 10 [size =\"21150720\"]\n  8 [size=\"94246400\", alpha=\"0.07\", expect_size=\"37698560\"] \n  8 -> 9 [size =\"37698560\"]\n  9 [size=\"109655040\", alpha=\"0.09\", expect_size=\"43862016\"] \n  9 -> 11 [size =\"43862016\"]\n  9 -> 12 [size =\"43862016\"]\n  10 [size=\"102945280\", alpha=\"0.00\", expect_size=\"41178112\"] \n  10 -> 11 [size =\"41178112\"]\n  10 -> 12 [size =\"41178112\"]\n  11 [size=\"97525760\", alpha=\"0.13\", expect_size=\"39010304\"] \n  11 -> 14 [size =\"39010304\"]\n  12 [size=\"43240960\", alpha=\"0.19\", expect_size=\"17296384\"] \n  12 -> 13 [size =\"17296384\"]\n  12 -> 14 [size =\"17296384\"]\n  13 [size=\"104701440\", alpha=\"0.01\", expect_size=\"41880576\"] \n  13 -> 15 [size =\"41880576\"]\n  13 -> 16 [size =\"41880576\"]\n  13 -> 17 [size =\"41880576\"]\n  14 [size=\"62108160\", alpha=\"0.05\", expect_size=\"24843264\"] \n  14 -> 15 [size =\"24843264\"]\n  14 -> 16 [size =\"24843264\"]\n  14 -> 17 [size =\"24843264\"]\n  15 [size=\"119613440\", alpha=\"0.16\", expect_size=\"47845376\"] \n  15 -> 18 [size =\"47845376\"]\n  15 -> 19 [size =\"47845376\"]\n  16 [size=\"77941760\", alpha=\"0.09\", expect_size=\"31176704\"] \n  16 -> 18 [size =\"31176704\"]\n  16 -> 19 [size =\"31176704\"]\n  17 [size=\"60623360\", alpha=\"0.08\", expect_size=\"24249344\"] \n  17 -> 18 [size =\"24249344\"]\n  17 -> 19 [size =\"24249344\"]\n  18 [size=\"36295680\", alpha=\"0.12\", expect_size=\"14518272\"] \n  18 -> 20 [size =\"14518272\"]\n  19 [size=\"75735040\", alpha=\"0.15\", expect_size=\"30294016\"] \n  19 -> 20 [size =\"30294016\"]\n  19 -> 21 [size =\"30294016\"]\n  20 [size=\"129152000\", alpha=\"0.10\", expect_size=\"51660800\"] \n  20 -> 22 [size =\"51660800\"]\n  20 -> 23 [size =\"51660800\"]\n  20 -> 24 [size =\"51660800\"]\n  21 [size=\"129610240\", alpha=\"0.15\", expect_size=\"51844096\"] \n  21 -> 22 [size =\"51844096\"]\n  21 -> 24 [size =\"51844096\"]\n  22 [size=\"87091200\", alpha=\"0.18\", expect_size=\"34836480\"] \n  22 -> 25 [size =\"34836480\"]\n  22 -> 26 [size =\"34836480\"]\n  23 [size=\"83328000\", alpha=\"0.16\", expect_size=\"33331200\"] \n  23 -> 25 [size =\"33331200\"]\n  24 [size=\"89848320\", alpha=\"0.12\", expect_size=\"35939328\"] \n  25 [size=\"118615040\", alpha=\"0.03\", expect_size=\"47446016\"] \n  25 -> 28 [size =\"47446016\"]\n  26 [size=\"94272000\", alpha=\"0.16\", expect_size=\"37708800\"] \n  26 -> 27 [size =\"37708800\"]\n  26 -> 28 [size =\"37708800\"]\n  27 [size=\"31692800\", alpha=\"0.16\", expect_size=\"12677120\"] \n  27 -> 29 [size =\"12677120\"]\n  27 -> 30 [size =\"12677120\"]\n  28 [size=\"81372160\", alpha=\"0.09\", expect_size=\"32548864\"] \n  28 -> 30 [size =\"32548864\"]\n  29 [size=\"31411200\", alpha=\"0.19\", expect_size=\"12564480\"] \n  29 -> 31 [size =\"12564480\"]\n  29 -> 32 [size =\"12564480\"]\n  29 -> 33 [size =\"12564480\"]\n  30 [size=\"121047040\", alpha=\"0.05\", expect_size=\"48418816\"] \n  30 -> 32 [size =\"48418816\"]\n  30 -> 33 [size =\"48418816\"]\n  31 [size=\"59617280\", alpha=\"0.04\", expect_size=\"23846912\"] \n  31 -> 34 [size =\"23846912\"]\n  31 -> 35 [size =\"23846912\"]\n  32 [size=\"27937280\", alpha=\"0.09\", expect_size=\"11174912\"] \n  32 -> 34 [size =\"11174912\"]\n  32 -> 36 [size =\"11174912\"]\n  33 [size=\"13570560\", alpha=\"0.09\", expect_size=\"5428224\"] \n  33 -> 34 [size =\"5428224\"]\n  33 -> 36 [size =\"5428224\"]\n  34 [size=\"106355200\", alpha=\"0.17\", expect_size=\"42542080\"] \n  34 -> 37 [size =\"42542080\"]\n  34 -> 38 [size =\"42542080\"]\n  34 -> 39 [size =\"42542080\"]\n  35 [size=\"61452800\", alpha=\"0.04\", expect_size=\"24581120\"] \n  35 -> 37 [size =\"24581120\"]\n  35 -> 38 [size =\"24581120\"]\n  35 -> 39 [size =\"24581120\"]\n  36 [size=\"78141440\", alpha=\"0.01\", expect_size=\"31256576\"] \n  36 -> 37 [size =\"31256576\"]\n  36 -> 38 [size =\"31256576\"]\n  36 -> 39 [size =\"31256576\"]\n  37 [size=\"54205440\", alpha=\"0.07\", expect_size=\"21682176\"] \n  37 -> 40 [size =\"21682176\"]\n  38 [size=\"29414400\", alpha=\"0.17\", expect_size=\"11765760\"] \n  39 [size=\"84912640\", alpha=\"0.17\", expect_size=\"33965056\"] \n  39 -> 40 [size =\"33965056\"]\n  40 [size=\"81315840\", alpha=\"0.16\", expect_size=\"32526336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124270080\", alpha=\"0.17\", expect_size=\"49708032\"] \n  1 -> 4 [size =\"49708032\"]\n  1 -> 5 [size =\"49708032\"]\n  1 -> 6 [size =\"49708032\"]\n  2 [size=\"81802240\", alpha=\"0.18\", expect_size=\"32720896\"] \n  2 -> 6 [size =\"32720896\"]\n  3 [size=\"14412800\", alpha=\"0.05\", expect_size=\"5765120\"] \n  3 -> 4 [size =\"5765120\"]\n  4 [size=\"111211520\", alpha=\"0.06\", expect_size=\"44484608\"] \n  4 -> 7 [size =\"44484608\"]\n  4 -> 8 [size =\"44484608\"]\n  4 -> 9 [size =\"44484608\"]\n  5 [size=\"13524480\", alpha=\"0.19\", expect_size=\"5409792\"] \n  5 -> 7 [size =\"5409792\"]\n  5 -> 8 [size =\"5409792\"]\n  6 [size=\"83955200\", alpha=\"0.17\", expect_size=\"33582080\"] \n  6 -> 9 [size =\"33582080\"]\n  7 [size=\"53816320\", alpha=\"0.05\", expect_size=\"21526528\"] \n  7 -> 10 [size =\"21526528\"]\n  7 -> 12 [size =\"21526528\"]\n  8 [size=\"83980800\", alpha=\"0.20\", expect_size=\"33592320\"] \n  8 -> 10 [size =\"33592320\"]\n  9 [size=\"68677120\", alpha=\"0.11\", expect_size=\"27470848\"] \n  9 -> 11 [size =\"27470848\"]\n  10 [size=\"97377280\", alpha=\"0.17\", expect_size=\"38950912\"] \n  11 [size=\"21447680\", alpha=\"0.15\", expect_size=\"8579072\"] \n  11 -> 13 [size =\"8579072\"]\n  11 -> 14 [size =\"8579072\"]\n  12 [size=\"122693120\", alpha=\"0.08\", expect_size=\"49077248\"] \n  12 -> 13 [size =\"49077248\"]\n  13 [size=\"111298560\", alpha=\"0.09\", expect_size=\"44519424\"] \n  13 -> 15 [size =\"44519424\"]\n  14 [size=\"24046080\", alpha=\"0.19\", expect_size=\"9618432\"] \n  14 -> 16 [size =\"9618432\"]\n  15 [size=\"61278720\", alpha=\"0.17\", expect_size=\"24511488\"] \n  15 -> 17 [size =\"24511488\"]\n  15 -> 18 [size =\"24511488\"]\n  16 [size=\"57845760\", alpha=\"0.09\", expect_size=\"23138304\"] \n  16 -> 18 [size =\"23138304\"]\n  17 [size=\"39662080\", alpha=\"0.10\", expect_size=\"15864832\"] \n  17 -> 20 [size =\"15864832\"]\n  17 -> 21 [size =\"15864832\"]\n  18 [size=\"69135360\", alpha=\"0.04\", expect_size=\"27654144\"] \n  18 -> 19 [size =\"27654144\"]\n  18 -> 20 [size =\"27654144\"]\n  18 -> 21 [size =\"27654144\"]\n  19 [size=\"66897920\", alpha=\"0.10\", expect_size=\"26759168\"] \n  19 -> 24 [size =\"26759168\"]\n  20 [size=\"129287680\", alpha=\"0.17\", expect_size=\"51715072\"] \n  20 -> 22 [size =\"51715072\"]\n  21 [size=\"113072640\", alpha=\"0.03\", expect_size=\"45229056\"] \n  21 -> 22 [size =\"45229056\"]\n  21 -> 23 [size =\"45229056\"]\n  21 -> 24 [size =\"45229056\"]\n  22 [size=\"82442240\", alpha=\"0.20\", expect_size=\"32976896\"] \n  22 -> 25 [size =\"32976896\"]\n  23 [size=\"128266240\", alpha=\"0.17\", expect_size=\"51306496\"] \n  23 -> 26 [size =\"51306496\"]\n  23 -> 27 [size =\"51306496\"]\n  24 [size=\"65402880\", alpha=\"0.11\", expect_size=\"26161152\"] \n  24 -> 25 [size =\"26161152\"]\n  24 -> 27 [size =\"26161152\"]\n  25 [size=\"57771520\", alpha=\"0.05\", expect_size=\"23108608\"] \n  25 -> 28 [size =\"23108608\"]\n  25 -> 29 [size =\"23108608\"]\n  25 -> 30 [size =\"23108608\"]\n  26 [size=\"40381440\", alpha=\"0.11\", expect_size=\"16152576\"] \n  26 -> 28 [size =\"16152576\"]\n  26 -> 29 [size =\"16152576\"]\n  26 -> 30 [size =\"16152576\"]\n  27 [size=\"92572160\", alpha=\"0.04\", expect_size=\"37028864\"] \n  27 -> 28 [size =\"37028864\"]\n  27 -> 29 [size =\"37028864\"]\n  27 -> 30 [size =\"37028864\"]\n  28 [size=\"30817280\", alpha=\"0.10\", expect_size=\"12326912\"] \n  28 -> 31 [size =\"12326912\"]\n  28 -> 32 [size =\"12326912\"]\n  28 -> 33 [size =\"12326912\"]\n  29 [size=\"55905280\", alpha=\"0.04\", expect_size=\"22362112\"] \n  29 -> 33 [size =\"22362112\"]\n  30 [size=\"117539840\", alpha=\"0.13\", expect_size=\"47015936\"] \n  30 -> 31 [size =\"47015936\"]\n  31 [size=\"100613120\", alpha=\"0.03\", expect_size=\"40245248\"] \n  31 -> 34 [size =\"40245248\"]\n  32 [size=\"116285440\", alpha=\"0.12\", expect_size=\"46514176\"] \n  33 [size=\"115292160\", alpha=\"0.17\", expect_size=\"46116864\"] \n  33 -> 35 [size =\"46116864\"]\n  34 [size=\"98936320\", alpha=\"0.04\", expect_size=\"39574528\"] \n  35 [size=\"47362560\", alpha=\"0.20\", expect_size=\"18945024\"] \n  35 -> 36 [size =\"18945024\"]\n  35 -> 37 [size =\"18945024\"]\n  36 [size=\"78950400\", alpha=\"0.03\", expect_size=\"31580160\"] \n  36 -> 38 [size =\"31580160\"]\n  37 [size=\"28623360\", alpha=\"0.10\", expect_size=\"11449344\"] \n  37 -> 38 [size =\"11449344\"]\n  37 -> 39 [size =\"11449344\"]\n  38 [size=\"55055360\", alpha=\"0.07\", expect_size=\"22022144\"] \n  38 -> 40 [size =\"22022144\"]\n  39 [size=\"111157760\", alpha=\"0.13\", expect_size=\"44463104\"] \n  39 -> 40 [size =\"44463104\"]\n  40 [size=\"16573440\", alpha=\"0.19\", expect_size=\"6629376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14706688\", alpha=\"0.01\", expect_size=\"7353344\"] \n  1 -> 18 [size =\"7353344\"]\n  1 -> 18 [size =\"7353344\"]\n  1 -> 23 [size =\"7353344\"]\n  1 -> 31 [size =\"7353344\"]\n  1 -> 35 [size =\"7353344\"]\n  1 -> 38 [size =\"7353344\"]\n  2 [size=\"23656448\", alpha=\"0.11\", expect_size=\"11828224\"] \n  2 -> 17 [size =\"11828224\"]\n  2 -> 21 [size =\"11828224\"]\n  2 -> 23 [size =\"11828224\"]\n  2 -> 26 [size =\"11828224\"]\n  2 -> 27 [size =\"11828224\"]\n  2 -> 28 [size =\"11828224\"]\n  2 -> 30 [size =\"11828224\"]\n  2 -> 31 [size =\"11828224\"]\n  2 -> 39 [size =\"11828224\"]\n  2 -> 40 [size =\"11828224\"]\n  3 [size=\"53426176\", alpha=\"0.01\", expect_size=\"26713088\"] \n  3 -> 17 [size =\"26713088\"]\n  3 -> 20 [size =\"26713088\"]\n  3 -> 21 [size =\"26713088\"]\n  3 -> 25 [size =\"26713088\"]\n  3 -> 28 [size =\"26713088\"]\n  3 -> 28 [size =\"26713088\"]\n  3 -> 29 [size =\"26713088\"]\n  3 -> 31 [size =\"26713088\"]\n  3 -> 34 [size =\"26713088\"]\n  4 [size=\"52629504\", alpha=\"0.14\", expect_size=\"26314752\"] \n  4 -> 16 [size =\"26314752\"]\n  4 -> 17 [size =\"26314752\"]\n  4 -> 20 [size =\"26314752\"]\n  4 -> 26 [size =\"26314752\"]\n  4 -> 31 [size =\"26314752\"]\n  5 [size=\"97040384\", alpha=\"0.08\", expect_size=\"48520192\"] \n  5 -> 28 [size =\"48520192\"]\n  5 -> 29 [size =\"48520192\"]\n  5 -> 38 [size =\"48520192\"]\n  6 [size=\"102203392\", alpha=\"0.19\", expect_size=\"51101696\"] \n  6 -> 16 [size =\"51101696\"]\n  6 -> 17 [size =\"51101696\"]\n  6 -> 20 [size =\"51101696\"]\n  6 -> 22 [size =\"51101696\"]\n  6 -> 25 [size =\"51101696\"]\n  6 -> 26 [size =\"51101696\"]\n  6 -> 27 [size =\"51101696\"]\n  6 -> 28 [size =\"51101696\"]\n  6 -> 35 [size =\"51101696\"]\n  6 -> 38 [size =\"51101696\"]\n  6 -> 39 [size =\"51101696\"]\n  7 [size=\"73910272\", alpha=\"0.04\", expect_size=\"36955136\"] \n  7 -> 16 [size =\"36955136\"]\n  7 -> 20 [size =\"36955136\"]\n  7 -> 20 [size =\"36955136\"]\n  7 -> 21 [size =\"36955136\"]\n  7 -> 22 [size =\"36955136\"]\n  7 -> 25 [size =\"36955136\"]\n  7 -> 28 [size =\"36955136\"]\n  8 [size=\"33959936\", alpha=\"0.01\", expect_size=\"16979968\"] \n  8 -> 16 [size =\"16979968\"]\n  8 -> 17 [size =\"16979968\"]\n  8 -> 20 [size =\"16979968\"]\n  8 -> 24 [size =\"16979968\"]\n  8 -> 28 [size =\"16979968\"]\n  8 -> 35 [size =\"16979968\"]\n  8 -> 37 [size =\"16979968\"]\n  8 -> 38 [size =\"16979968\"]\n  8 -> 39 [size =\"16979968\"]\n  9 [size=\"61595648\", alpha=\"0.07\", expect_size=\"30797824\"] \n  9 -> 19 [size =\"30797824\"]\n  9 -> 22 [size =\"30797824\"]\n  9 -> 24 [size =\"30797824\"]\n  9 -> 28 [size =\"30797824\"]\n  9 -> 38 [size =\"30797824\"]\n  10 [size=\"19499008\", alpha=\"0.09\", expect_size=\"9749504\"] \n  10 -> 16 [size =\"9749504\"]\n  10 -> 17 [size =\"9749504\"]\n  10 -> 23 [size =\"9749504\"]\n  10 -> 25 [size =\"9749504\"]\n  10 -> 26 [size =\"9749504\"]\n  10 -> 31 [size =\"9749504\"]\n  11 [size=\"65007616\", alpha=\"0.14\", expect_size=\"32503808\"] \n  11 -> 19 [size =\"32503808\"]\n  11 -> 23 [size =\"32503808\"]\n  11 -> 24 [size =\"32503808\"]\n  11 -> 26 [size =\"32503808\"]\n  11 -> 29 [size =\"32503808\"]\n  11 -> 31 [size =\"32503808\"]\n  11 -> 33 [size =\"32503808\"]\n  11 -> 34 [size =\"32503808\"]\n  11 -> 36 [size =\"32503808\"]\n  11 -> 39 [size =\"32503808\"]\n  12 [size=\"71686144\", alpha=\"0.14\", expect_size=\"35843072\"] \n  12 -> 17 [size =\"35843072\"]\n  12 -> 20 [size =\"35843072\"]\n  12 -> 21 [size =\"35843072\"]\n  12 -> 22 [size =\"35843072\"]\n  12 -> 23 [size =\"35843072\"]\n  12 -> 24 [size =\"35843072\"]\n  12 -> 25 [size =\"35843072\"]\n  12 -> 26 [size =\"35843072\"]\n  12 -> 29 [size =\"35843072\"]\n  12 -> 30 [size =\"35843072\"]\n  12 -> 31 [size =\"35843072\"]\n  12 -> 33 [size =\"35843072\"]\n  12 -> 38 [size =\"35843072\"]\n  13 [size=\"26980352\", alpha=\"0.11\", expect_size=\"13490176\"] \n  13 -> 16 [size =\"13490176\"]\n  13 -> 21 [size =\"13490176\"]\n  13 -> 23 [size =\"13490176\"]\n  13 -> 24 [size =\"13490176\"]\n  13 -> 26 [size =\"13490176\"]\n  13 -> 29 [size =\"13490176\"]\n  13 -> 38 [size =\"13490176\"]\n  14 [size=\"32106496\", alpha=\"0.08\", expect_size=\"16053248\"] \n  14 -> 17 [size =\"16053248\"]\n  14 -> 18 [size =\"16053248\"]\n  14 -> 22 [size =\"16053248\"]\n  14 -> 23 [size =\"16053248\"]\n  14 -> 24 [size =\"16053248\"]\n  14 -> 26 [size =\"16053248\"]\n  14 -> 29 [size =\"16053248\"]\n  14 -> 32 [size =\"16053248\"]\n  14 -> 33 [size =\"16053248\"]\n  14 -> 38 [size =\"16053248\"]\n  15 [size=\"99674112\", alpha=\"0.07\", expect_size=\"49837056\"] \n  15 -> 16 [size =\"49837056\"]\n  15 -> 18 [size =\"49837056\"]\n  15 -> 22 [size =\"49837056\"]\n  15 -> 23 [size =\"49837056\"]\n  15 -> 24 [size =\"49837056\"]\n  15 -> 29 [size =\"49837056\"]\n  15 -> 29 [size =\"49837056\"]\n  15 -> 30 [size =\"49837056\"]\n  15 -> 32 [size =\"49837056\"]\n  15 -> 35 [size =\"49837056\"]\n  15 -> 38 [size =\"49837056\"]\n  16 [size=\"43720704\", alpha=\"0.05\", expect_size=\"21860352\"] \n  17 [size=\"39081984\", alpha=\"0.14\", expect_size=\"19540992\"] \n  18 [size=\"60217344\", alpha=\"0.19\", expect_size=\"30108672\"] \n  19 [size=\"63383552\", alpha=\"0.15\", expect_size=\"31691776\"] \n  20 [size=\"97251328\", alpha=\"0.12\", expect_size=\"48625664\"] \n  21 [size=\"43804672\", alpha=\"0.11\", expect_size=\"21902336\"] \n  22 [size=\"15116288\", alpha=\"0.13\", expect_size=\"7558144\"] \n  23 [size=\"80140288\", alpha=\"0.04\", expect_size=\"40070144\"] \n  24 [size=\"38254592\", alpha=\"0.03\", expect_size=\"19127296\"] \n  25 [size=\"74078208\", alpha=\"0.01\", expect_size=\"37039104\"] \n  26 [size=\"104847360\", alpha=\"0.19\", expect_size=\"52423680\"] \n  27 [size=\"32612352\", alpha=\"0.10\", expect_size=\"16306176\"] \n  28 [size=\"100995072\", alpha=\"0.06\", expect_size=\"50497536\"] \n  29 [size=\"94357504\", alpha=\"0.12\", expect_size=\"47178752\"] \n  30 [size=\"68505600\", alpha=\"0.01\", expect_size=\"34252800\"] \n  31 [size=\"33052672\", alpha=\"0.01\", expect_size=\"16526336\"] \n  32 [size=\"86597632\", alpha=\"0.14\", expect_size=\"43298816\"] \n  33 [size=\"53565440\", alpha=\"0.11\", expect_size=\"26782720\"] \n  34 [size=\"71270400\", alpha=\"0.12\", expect_size=\"35635200\"] \n  35 [size=\"87484416\", alpha=\"0.12\", expect_size=\"43742208\"] \n  36 [size=\"94390272\", alpha=\"0.20\", expect_size=\"47195136\"] \n  37 [size=\"89337856\", alpha=\"0.13\", expect_size=\"44668928\"] \n  38 [size=\"41377792\", alpha=\"0.17\", expect_size=\"20688896\"] \n  39 [size=\"68358144\", alpha=\"0.12\", expect_size=\"34179072\"] \n  40 [size=\"32645120\", alpha=\"0.05\", expect_size=\"16322560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71833600\", alpha=\"0.09\", expect_size=\"35916800\"] \n  1 -> 26 [size =\"35916800\"]\n  1 -> 27 [size =\"35916800\"]\n  1 -> 28 [size =\"35916800\"]\n  1 -> 34 [size =\"35916800\"]\n  1 -> 35 [size =\"35916800\"]\n  2 [size=\"18149376\", alpha=\"0.02\", expect_size=\"9074688\"] \n  2 -> 28 [size =\"9074688\"]\n  2 -> 30 [size =\"9074688\"]\n  2 -> 31 [size =\"9074688\"]\n  2 -> 32 [size =\"9074688\"]\n  2 -> 34 [size =\"9074688\"]\n  2 -> 35 [size =\"9074688\"]\n  2 -> 37 [size =\"9074688\"]\n  2 -> 39 [size =\"9074688\"]\n  3 [size=\"63891456\", alpha=\"0.01\", expect_size=\"31945728\"] \n  3 -> 28 [size =\"31945728\"]\n  3 -> 31 [size =\"31945728\"]\n  3 -> 32 [size =\"31945728\"]\n  3 -> 34 [size =\"31945728\"]\n  3 -> 36 [size =\"31945728\"]\n  4 [size=\"83165184\", alpha=\"0.06\", expect_size=\"41582592\"] \n  4 -> 30 [size =\"41582592\"]\n  4 -> 31 [size =\"41582592\"]\n  4 -> 34 [size =\"41582592\"]\n  4 -> 35 [size =\"41582592\"]\n  4 -> 39 [size =\"41582592\"]\n  5 [size=\"95412224\", alpha=\"0.15\", expect_size=\"47706112\"] \n  5 -> 26 [size =\"47706112\"]\n  5 -> 29 [size =\"47706112\"]\n  5 -> 31 [size =\"47706112\"]\n  5 -> 35 [size =\"47706112\"]\n  5 -> 36 [size =\"47706112\"]\n  6 [size=\"104818688\", alpha=\"0.15\", expect_size=\"52409344\"] \n  6 -> 31 [size =\"52409344\"]\n  6 -> 33 [size =\"52409344\"]\n  6 -> 35 [size =\"52409344\"]\n  6 -> 36 [size =\"52409344\"]\n  7 [size=\"87439360\", alpha=\"0.02\", expect_size=\"43719680\"] \n  7 -> 28 [size =\"43719680\"]\n  7 -> 30 [size =\"43719680\"]\n  7 -> 31 [size =\"43719680\"]\n  7 -> 36 [size =\"43719680\"]\n  8 [size=\"103806976\", alpha=\"0.10\", expect_size=\"51903488\"] \n  8 -> 28 [size =\"51903488\"]\n  8 -> 30 [size =\"51903488\"]\n  8 -> 32 [size =\"51903488\"]\n  8 -> 34 [size =\"51903488\"]\n  8 -> 36 [size =\"51903488\"]\n  8 -> 37 [size =\"51903488\"]\n  9 [size=\"53706752\", alpha=\"0.01\", expect_size=\"26853376\"] \n  9 -> 28 [size =\"26853376\"]\n  9 -> 31 [size =\"26853376\"]\n  9 -> 32 [size =\"26853376\"]\n  9 -> 34 [size =\"26853376\"]\n  9 -> 36 [size =\"26853376\"]\n  9 -> 38 [size =\"26853376\"]\n  10 [size=\"78311424\", alpha=\"0.06\", expect_size=\"39155712\"] \n  10 -> 28 [size =\"39155712\"]\n  10 -> 31 [size =\"39155712\"]\n  10 -> 33 [size =\"39155712\"]\n  10 -> 34 [size =\"39155712\"]\n  10 -> 35 [size =\"39155712\"]\n  10 -> 36 [size =\"39155712\"]\n  10 -> 38 [size =\"39155712\"]\n  10 -> 39 [size =\"39155712\"]\n  11 [size=\"60059648\", alpha=\"0.04\", expect_size=\"30029824\"] \n  11 -> 26 [size =\"30029824\"]\n  11 -> 28 [size =\"30029824\"]\n  11 -> 34 [size =\"30029824\"]\n  11 -> 35 [size =\"30029824\"]\n  11 -> 37 [size =\"30029824\"]\n  12 [size=\"101255168\", alpha=\"0.19\", expect_size=\"50627584\"] \n  12 -> 28 [size =\"50627584\"]\n  12 -> 30 [size =\"50627584\"]\n  12 -> 40 [size =\"50627584\"]\n  13 [size=\"17590272\", alpha=\"0.09\", expect_size=\"8795136\"] \n  13 -> 26 [size =\"8795136\"]\n  13 -> 28 [size =\"8795136\"]\n  13 -> 31 [size =\"8795136\"]\n  13 -> 32 [size =\"8795136\"]\n  13 -> 34 [size =\"8795136\"]\n  13 -> 35 [size =\"8795136\"]\n  14 [size=\"24162304\", alpha=\"0.02\", expect_size=\"12081152\"] \n  14 -> 26 [size =\"12081152\"]\n  14 -> 32 [size =\"12081152\"]\n  14 -> 34 [size =\"12081152\"]\n  14 -> 36 [size =\"12081152\"]\n  15 [size=\"53895168\", alpha=\"0.19\", expect_size=\"26947584\"] \n  15 -> 26 [size =\"26947584\"]\n  15 -> 28 [size =\"26947584\"]\n  15 -> 30 [size =\"26947584\"]\n  15 -> 32 [size =\"26947584\"]\n  15 -> 37 [size =\"26947584\"]\n  16 [size=\"31707136\", alpha=\"0.05\", expect_size=\"15853568\"] \n  16 -> 26 [size =\"15853568\"]\n  16 -> 32 [size =\"15853568\"]\n  16 -> 33 [size =\"15853568\"]\n  16 -> 34 [size =\"15853568\"]\n  16 -> 35 [size =\"15853568\"]\n  16 -> 36 [size =\"15853568\"]\n  17 [size=\"104181760\", alpha=\"0.17\", expect_size=\"52090880\"] \n  17 -> 28 [size =\"52090880\"]\n  17 -> 32 [size =\"52090880\"]\n  17 -> 34 [size =\"52090880\"]\n  17 -> 35 [size =\"52090880\"]\n  18 [size=\"21299200\", alpha=\"0.10\", expect_size=\"10649600\"] \n  18 -> 28 [size =\"10649600\"]\n  18 -> 31 [size =\"10649600\"]\n  18 -> 32 [size =\"10649600\"]\n  18 -> 38 [size =\"10649600\"]\n  18 -> 40 [size =\"10649600\"]\n  19 [size=\"66867200\", alpha=\"0.14\", expect_size=\"33433600\"] \n  19 -> 30 [size =\"33433600\"]\n  19 -> 32 [size =\"33433600\"]\n  19 -> 35 [size =\"33433600\"]\n  19 -> 36 [size =\"33433600\"]\n  19 -> 40 [size =\"33433600\"]\n  20 [size=\"69980160\", alpha=\"0.16\", expect_size=\"34990080\"] \n  20 -> 27 [size =\"34990080\"]\n  20 -> 31 [size =\"34990080\"]\n  20 -> 32 [size =\"34990080\"]\n  20 -> 33 [size =\"34990080\"]\n  20 -> 35 [size =\"34990080\"]\n  20 -> 36 [size =\"34990080\"]\n  21 [size=\"100429824\", alpha=\"0.12\", expect_size=\"50214912\"] \n  21 -> 28 [size =\"50214912\"]\n  21 -> 30 [size =\"50214912\"]\n  21 -> 31 [size =\"50214912\"]\n  21 -> 32 [size =\"50214912\"]\n  21 -> 33 [size =\"50214912\"]\n  21 -> 34 [size =\"50214912\"]\n  21 -> 35 [size =\"50214912\"]\n  21 -> 38 [size =\"50214912\"]\n  21 -> 39 [size =\"50214912\"]\n  22 [size=\"27115520\", alpha=\"0.09\", expect_size=\"13557760\"] \n  22 -> 29 [size =\"13557760\"]\n  22 -> 31 [size =\"13557760\"]\n  22 -> 32 [size =\"13557760\"]\n  22 -> 33 [size =\"13557760\"]\n  22 -> 33 [size =\"13557760\"]\n  22 -> 34 [size =\"13557760\"]\n  22 -> 35 [size =\"13557760\"]\n  22 -> 38 [size =\"13557760\"]\n  22 -> 39 [size =\"13557760\"]\n  23 [size=\"21069824\", alpha=\"0.18\", expect_size=\"10534912\"] \n  23 -> 30 [size =\"10534912\"]\n  23 -> 31 [size =\"10534912\"]\n  23 -> 33 [size =\"10534912\"]\n  23 -> 34 [size =\"10534912\"]\n  23 -> 35 [size =\"10534912\"]\n  23 -> 36 [size =\"10534912\"]\n  23 -> 38 [size =\"10534912\"]\n  23 -> 39 [size =\"10534912\"]\n  24 [size=\"65425408\", alpha=\"0.02\", expect_size=\"32712704\"] \n  24 -> 26 [size =\"32712704\"]\n  24 -> 28 [size =\"32712704\"]\n  24 -> 29 [size =\"32712704\"]\n  24 -> 32 [size =\"32712704\"]\n  24 -> 35 [size =\"32712704\"]\n  24 -> 36 [size =\"32712704\"]\n  24 -> 39 [size =\"32712704\"]\n  25 [size=\"74252288\", alpha=\"0.03\", expect_size=\"37126144\"] \n  25 -> 27 [size =\"37126144\"]\n  25 -> 28 [size =\"37126144\"]\n  25 -> 32 [size =\"37126144\"]\n  25 -> 34 [size =\"37126144\"]\n  25 -> 35 [size =\"37126144\"]\n  25 -> 39 [size =\"37126144\"]\n  26 [size=\"70154240\", alpha=\"0.05\", expect_size=\"35077120\"] \n  27 [size=\"93646848\", alpha=\"0.04\", expect_size=\"46823424\"] \n  28 [size=\"79001600\", alpha=\"0.02\", expect_size=\"39500800\"] \n  29 [size=\"32434176\", alpha=\"0.09\", expect_size=\"16217088\"] \n  30 [size=\"97695744\", alpha=\"0.10\", expect_size=\"48847872\"] \n  31 [size=\"80666624\", alpha=\"0.02\", expect_size=\"40333312\"] \n  32 [size=\"42690560\", alpha=\"0.13\", expect_size=\"21345280\"] \n  33 [size=\"85809152\", alpha=\"0.06\", expect_size=\"42904576\"] \n  34 [size=\"74682368\", alpha=\"0.02\", expect_size=\"37341184\"] \n  35 [size=\"81993728\", alpha=\"0.07\", expect_size=\"40996864\"] \n  36 [size=\"98295808\", alpha=\"0.16\", expect_size=\"49147904\"] \n  37 [size=\"29179904\", alpha=\"0.05\", expect_size=\"14589952\"] \n  38 [size=\"45973504\", alpha=\"0.17\", expect_size=\"22986752\"] \n  39 [size=\"53252096\", alpha=\"0.00\", expect_size=\"26626048\"] \n  40 [size=\"94240768\", alpha=\"0.16\", expect_size=\"47120384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144076800\", alpha=\"0.19\", expect_size=\"43223040\"] \n  1 -> 14 [size =\"43223040\"]\n  1 -> 15 [size =\"43223040\"]\n  1 -> 16 [size =\"43223040\"]\n  1 -> 17 [size =\"43223040\"]\n  1 -> 22 [size =\"43223040\"]\n  1 -> 23 [size =\"43223040\"]\n  1 -> 25 [size =\"43223040\"]\n  2 [size=\"49530880\", alpha=\"0.14\", expect_size=\"14859264\"] \n  2 -> 17 [size =\"14859264\"]\n  2 -> 18 [size =\"14859264\"]\n  2 -> 21 [size =\"14859264\"]\n  2 -> 22 [size =\"14859264\"]\n  2 -> 25 [size =\"14859264\"]\n  3 [size=\"31464107\", alpha=\"0.09\", expect_size=\"9439232\"] \n  3 -> 14 [size =\"9439232\"]\n  3 -> 16 [size =\"9439232\"]\n  3 -> 21 [size =\"9439232\"]\n  4 [size=\"83377493\", alpha=\"0.06\", expect_size=\"25013248\"] \n  4 -> 15 [size =\"25013248\"]\n  4 -> 21 [size =\"25013248\"]\n  4 -> 21 [size =\"25013248\"]\n  4 -> 25 [size =\"25013248\"]\n  5 [size=\"116336640\", alpha=\"0.04\", expect_size=\"34900992\"] \n  5 -> 16 [size =\"34900992\"]\n  5 -> 17 [size =\"34900992\"]\n  5 -> 20 [size =\"34900992\"]\n  5 -> 21 [size =\"34900992\"]\n  5 -> 25 [size =\"34900992\"]\n  6 [size=\"110632960\", alpha=\"0.04\", expect_size=\"33189888\"] \n  6 -> 15 [size =\"33189888\"]\n  6 -> 16 [size =\"33189888\"]\n  6 -> 17 [size =\"33189888\"]\n  6 -> 19 [size =\"33189888\"]\n  6 -> 21 [size =\"33189888\"]\n  6 -> 22 [size =\"33189888\"]\n  6 -> 23 [size =\"33189888\"]\n  6 -> 25 [size =\"33189888\"]\n  7 [size=\"100560213\", alpha=\"0.13\", expect_size=\"30168064\"] \n  7 -> 14 [size =\"30168064\"]\n  7 -> 15 [size =\"30168064\"]\n  7 -> 17 [size =\"30168064\"]\n  7 -> 18 [size =\"30168064\"]\n  7 -> 19 [size =\"30168064\"]\n  7 -> 20 [size =\"30168064\"]\n  7 -> 23 [size =\"30168064\"]\n  7 -> 24 [size =\"30168064\"]\n  7 -> 25 [size =\"30168064\"]\n  8 [size=\"165741227\", alpha=\"0.12\", expect_size=\"49722368\"] \n  8 -> 15 [size =\"49722368\"]\n  8 -> 17 [size =\"49722368\"]\n  8 -> 23 [size =\"49722368\"]\n  8 -> 24 [size =\"49722368\"]\n  8 -> 25 [size =\"49722368\"]\n  9 [size=\"130672640\", alpha=\"0.17\", expect_size=\"39201792\"] \n  9 -> 15 [size =\"39201792\"]\n  9 -> 22 [size =\"39201792\"]\n  9 -> 23 [size =\"39201792\"]\n  9 -> 25 [size =\"39201792\"]\n  9 -> 25 [size =\"39201792\"]\n  10 [size=\"53128533\", alpha=\"0.02\", expect_size=\"15938560\"] \n  10 -> 14 [size =\"15938560\"]\n  10 -> 15 [size =\"15938560\"]\n  10 -> 16 [size =\"15938560\"]\n  10 -> 17 [size =\"15938560\"]\n  10 -> 19 [size =\"15938560\"]\n  10 -> 21 [size =\"15938560\"]\n  10 -> 22 [size =\"15938560\"]\n  10 -> 24 [size =\"15938560\"]\n  10 -> 25 [size =\"15938560\"]\n  11 [size=\"59658240\", alpha=\"0.13\", expect_size=\"17897472\"] \n  11 -> 17 [size =\"17897472\"]\n  11 -> 19 [size =\"17897472\"]\n  11 -> 21 [size =\"17897472\"]\n  11 -> 22 [size =\"17897472\"]\n  11 -> 24 [size =\"17897472\"]\n  11 -> 25 [size =\"17897472\"]\n  12 [size=\"49578667\", alpha=\"0.17\", expect_size=\"14873600\"] \n  12 -> 14 [size =\"14873600\"]\n  12 -> 19 [size =\"14873600\"]\n  12 -> 20 [size =\"14873600\"]\n  12 -> 22 [size =\"14873600\"]\n  12 -> 24 [size =\"14873600\"]\n  13 [size=\"160450560\", alpha=\"0.19\", expect_size=\"48135168\"] \n  13 -> 14 [size =\"48135168\"]\n  13 -> 15 [size =\"48135168\"]\n  13 -> 16 [size =\"48135168\"]\n  13 -> 19 [size =\"48135168\"]\n  13 -> 22 [size =\"48135168\"]\n  13 -> 25 [size =\"48135168\"]\n  14 [size=\"70485333\", alpha=\"0.06\", expect_size=\"21145600\"] \n  14 -> 31 [size =\"21145600\"]\n  14 -> 33 [size =\"21145600\"]\n  14 -> 34 [size =\"21145600\"]\n  15 [size=\"115285333\", alpha=\"0.17\", expect_size=\"34585600\"] \n  15 -> 26 [size =\"34585600\"]\n  15 -> 29 [size =\"34585600\"]\n  15 -> 31 [size =\"34585600\"]\n  15 -> 33 [size =\"34585600\"]\n  15 -> 34 [size =\"34585600\"]\n  16 [size=\"143919787\", alpha=\"0.06\", expect_size=\"43175936\"] \n  16 -> 26 [size =\"43175936\"]\n  16 -> 28 [size =\"43175936\"]\n  16 -> 29 [size =\"43175936\"]\n  16 -> 31 [size =\"43175936\"]\n  16 -> 32 [size =\"43175936\"]\n  16 -> 35 [size =\"43175936\"]\n  17 [size=\"19435520\", alpha=\"0.11\", expect_size=\"5830656\"] \n  17 -> 26 [size =\"5830656\"]\n  17 -> 27 [size =\"5830656\"]\n  17 -> 31 [size =\"5830656\"]\n  17 -> 31 [size =\"5830656\"]\n  17 -> 32 [size =\"5830656\"]\n  17 -> 33 [size =\"5830656\"]\n  17 -> 35 [size =\"5830656\"]\n  17 -> 36 [size =\"5830656\"]\n  18 [size=\"117927253\", alpha=\"0.08\", expect_size=\"35378176\"] \n  18 -> 27 [size =\"35378176\"]\n  18 -> 27 [size =\"35378176\"]\n  18 -> 32 [size =\"35378176\"]\n  18 -> 33 [size =\"35378176\"]\n  18 -> 35 [size =\"35378176\"]\n  18 -> 36 [size =\"35378176\"]\n  19 [size=\"52258133\", alpha=\"0.15\", expect_size=\"15677440\"] \n  19 -> 31 [size =\"15677440\"]\n  19 -> 32 [size =\"15677440\"]\n  19 -> 33 [size =\"15677440\"]\n  19 -> 34 [size =\"15677440\"]\n  19 -> 36 [size =\"15677440\"]\n  19 -> 37 [size =\"15677440\"]\n  20 [size=\"31498240\", alpha=\"0.05\", expect_size=\"9449472\"] \n  20 -> 26 [size =\"9449472\"]\n  20 -> 27 [size =\"9449472\"]\n  20 -> 29 [size =\"9449472\"]\n  20 -> 31 [size =\"9449472\"]\n  20 -> 34 [size =\"9449472\"]\n  20 -> 36 [size =\"9449472\"]\n  20 -> 37 [size =\"9449472\"]\n  21 [size=\"51152213\", alpha=\"0.11\", expect_size=\"15345664\"] \n  21 -> 27 [size =\"15345664\"]\n  21 -> 31 [size =\"15345664\"]\n  21 -> 32 [size =\"15345664\"]\n  21 -> 33 [size =\"15345664\"]\n  21 -> 37 [size =\"15345664\"]\n  22 [size=\"153344000\", alpha=\"0.01\", expect_size=\"46003200\"] \n  22 -> 26 [size =\"46003200\"]\n  22 -> 27 [size =\"46003200\"]\n  22 -> 28 [size =\"46003200\"]\n  22 -> 30 [size =\"46003200\"]\n  22 -> 31 [size =\"46003200\"]\n  22 -> 32 [size =\"46003200\"]\n  22 -> 33 [size =\"46003200\"]\n  22 -> 34 [size =\"46003200\"]\n  22 -> 36 [size =\"46003200\"]\n  23 [size=\"126409387\", alpha=\"0.12\", expect_size=\"37922816\"] \n  23 -> 29 [size =\"37922816\"]\n  23 -> 32 [size =\"37922816\"]\n  23 -> 33 [size =\"37922816\"]\n  23 -> 35 [size =\"37922816\"]\n  23 -> 36 [size =\"37922816\"]\n  24 [size=\"114633387\", alpha=\"0.12\", expect_size=\"34390016\"] \n  24 -> 26 [size =\"34390016\"]\n  24 -> 27 [size =\"34390016\"]\n  24 -> 31 [size =\"34390016\"]\n  24 -> 32 [size =\"34390016\"]\n  24 -> 33 [size =\"34390016\"]\n  24 -> 37 [size =\"34390016\"]\n  25 [size=\"163556693\", alpha=\"0.05\", expect_size=\"49067008\"] \n  25 -> 26 [size =\"49067008\"]\n  25 -> 27 [size =\"49067008\"]\n  25 -> 30 [size =\"49067008\"]\n  25 -> 33 [size =\"49067008\"]\n  26 [size=\"138748587\", alpha=\"0.09\", expect_size=\"41624576\"] \n  26 -> 40 [size =\"41624576\"]\n  27 [size=\"29576533\", alpha=\"0.04\", expect_size=\"8872960\"] \n  27 -> 38 [size =\"8872960\"]\n  27 -> 40 [size =\"8872960\"]\n  28 [size=\"114636800\", alpha=\"0.18\", expect_size=\"34391040\"] \n  28 -> 40 [size =\"34391040\"]\n  28 -> 40 [size =\"34391040\"]\n  29 [size=\"23801173\", alpha=\"0.07\", expect_size=\"7140352\"] \n  29 -> 40 [size =\"7140352\"]\n  30 [size=\"145445547\", alpha=\"0.19\", expect_size=\"43633664\"] \n  30 -> 38 [size =\"43633664\"]\n  30 -> 40 [size =\"43633664\"]\n  31 [size=\"28634453\", alpha=\"0.17\", expect_size=\"8590336\"] \n  31 -> 38 [size =\"8590336\"]\n  31 -> 39 [size =\"8590336\"]\n  31 -> 40 [size =\"8590336\"]\n  32 [size=\"114548053\", alpha=\"0.20\", expect_size=\"34364416\"] \n  33 [size=\"120668160\", alpha=\"0.00\", expect_size=\"36200448\"] \n  33 -> 40 [size =\"36200448\"]\n  34 [size=\"60982613\", alpha=\"0.07\", expect_size=\"18294784\"] \n  35 [size=\"158682453\", alpha=\"0.07\", expect_size=\"47604736\"] \n  36 [size=\"40768853\", alpha=\"0.02\", expect_size=\"12230656\"] \n  37 [size=\"114974720\", alpha=\"0.18\", expect_size=\"34492416\"] \n  38 [size=\"149811200\", alpha=\"0.07\", expect_size=\"44943360\"] \n  39 [size=\"136263680\", alpha=\"0.00\", expect_size=\"40879104\"] \n  40 [size=\"30235307\", alpha=\"0.15\", expect_size=\"9070592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103950336\", alpha=\"0.11\", expect_size=\"51975168\"] \n  1 -> 4 [size =\"51975168\"]\n  1 -> 5 [size =\"51975168\"]\n  2 [size=\"96751616\", alpha=\"0.16\", expect_size=\"48375808\"] \n  2 -> 6 [size =\"48375808\"]\n  3 [size=\"51197952\", alpha=\"0.02\", expect_size=\"25598976\"] \n  3 -> 4 [size =\"25598976\"]\n  3 -> 5 [size =\"25598976\"]\n  4 [size=\"95227904\", alpha=\"0.19\", expect_size=\"47613952\"] \n  4 -> 7 [size =\"47613952\"]\n  5 [size=\"95455232\", alpha=\"0.02\", expect_size=\"47727616\"] \n  6 [size=\"69249024\", alpha=\"0.19\", expect_size=\"34624512\"] \n  6 -> 8 [size =\"34624512\"]\n  6 -> 9 [size =\"34624512\"]\n  7 [size=\"86228992\", alpha=\"0.18\", expect_size=\"43114496\"] \n  7 -> 10 [size =\"43114496\"]\n  8 [size=\"53737472\", alpha=\"0.04\", expect_size=\"26868736\"] \n  8 -> 11 [size =\"26868736\"]\n  9 [size=\"88793088\", alpha=\"0.02\", expect_size=\"44396544\"] \n  9 -> 11 [size =\"44396544\"]\n  10 [size=\"63055872\", alpha=\"0.10\", expect_size=\"31527936\"] \n  10 -> 12 [size =\"31527936\"]\n  11 [size=\"34746368\", alpha=\"0.01\", expect_size=\"17373184\"] \n  11 -> 13 [size =\"17373184\"]\n  11 -> 14 [size =\"17373184\"]\n  12 [size=\"87941120\", alpha=\"0.13\", expect_size=\"43970560\"] \n  12 -> 15 [size =\"43970560\"]\n  12 -> 17 [size =\"43970560\"]\n  13 [size=\"70135808\", alpha=\"0.03\", expect_size=\"35067904\"] \n  13 -> 16 [size =\"35067904\"]\n  14 [size=\"77563904\", alpha=\"0.19\", expect_size=\"38781952\"] \n  14 -> 16 [size =\"38781952\"]\n  15 [size=\"74323968\", alpha=\"0.18\", expect_size=\"37161984\"] \n  16 [size=\"82903040\", alpha=\"0.17\", expect_size=\"41451520\"] \n  16 -> 19 [size =\"41451520\"]\n  16 -> 20 [size =\"41451520\"]\n  17 [size=\"78340096\", alpha=\"0.09\", expect_size=\"39170048\"] \n  17 -> 18 [size =\"39170048\"]\n  18 [size=\"70447104\", alpha=\"0.07\", expect_size=\"35223552\"] \n  19 [size=\"89749504\", alpha=\"0.07\", expect_size=\"44874752\"] \n  20 [size=\"101330944\", alpha=\"0.08\", expect_size=\"50665472\"] \n  20 -> 21 [size =\"50665472\"]\n  20 -> 22 [size =\"50665472\"]\n  21 [size=\"53172224\", alpha=\"0.08\", expect_size=\"26586112\"] \n  21 -> 23 [size =\"26586112\"]\n  21 -> 24 [size =\"26586112\"]\n  22 [size=\"57618432\", alpha=\"0.07\", expect_size=\"28809216\"] \n  23 [size=\"24868864\", alpha=\"0.14\", expect_size=\"12434432\"] \n  23 -> 26 [size =\"12434432\"]\n  24 [size=\"36896768\", alpha=\"0.19\", expect_size=\"18448384\"] \n  24 -> 25 [size =\"18448384\"]\n  25 [size=\"29888512\", alpha=\"0.02\", expect_size=\"14944256\"] \n  25 -> 27 [size =\"14944256\"]\n  26 [size=\"20561920\", alpha=\"0.18\", expect_size=\"10280960\"] \n  26 -> 28 [size =\"10280960\"]\n  27 [size=\"99407872\", alpha=\"0.10\", expect_size=\"49703936\"] \n  27 -> 29 [size =\"49703936\"]\n  27 -> 31 [size =\"49703936\"]\n  28 [size=\"46778368\", alpha=\"0.11\", expect_size=\"23389184\"] \n  28 -> 30 [size =\"23389184\"]\n  29 [size=\"79097856\", alpha=\"0.08\", expect_size=\"39548928\"] \n  29 -> 32 [size =\"39548928\"]\n  29 -> 33 [size =\"39548928\"]\n  29 -> 34 [size =\"39548928\"]\n  30 [size=\"17729536\", alpha=\"0.17\", expect_size=\"8864768\"] \n  30 -> 32 [size =\"8864768\"]\n  31 [size=\"53446656\", alpha=\"0.11\", expect_size=\"26723328\"] \n  31 -> 34 [size =\"26723328\"]\n  32 [size=\"90972160\", alpha=\"0.01\", expect_size=\"45486080\"] \n  32 -> 36 [size =\"45486080\"]\n  33 [size=\"27830272\", alpha=\"0.04\", expect_size=\"13915136\"] \n  34 [size=\"93474816\", alpha=\"0.01\", expect_size=\"46737408\"] \n  34 -> 35 [size =\"46737408\"]\n  35 [size=\"89536512\", alpha=\"0.12\", expect_size=\"44768256\"] \n  36 [size=\"100982784\", alpha=\"0.18\", expect_size=\"50491392\"] \n  36 -> 37 [size =\"50491392\"]\n  36 -> 38 [size =\"50491392\"]\n  37 [size=\"92211200\", alpha=\"0.18\", expect_size=\"46105600\"] \n  37 -> 39 [size =\"46105600\"]\n  37 -> 40 [size =\"46105600\"]\n  38 [size=\"44589056\", alpha=\"0.11\", expect_size=\"22294528\"] \n  39 [size=\"95746048\", alpha=\"0.01\", expect_size=\"47873024\"] \n  40 [size=\"40871936\", alpha=\"0.10\", expect_size=\"20435968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83329024\", alpha=\"0.17\", expect_size=\"41664512\"] \n  1 -> 2 [size =\"41664512\"]\n  2 [size=\"39081984\", alpha=\"0.14\", expect_size=\"19540992\"] \n  2 -> 3 [size =\"19540992\"]\n  3 [size=\"50464768\", alpha=\"0.05\", expect_size=\"25232384\"] \n  3 -> 4 [size =\"25232384\"]\n  4 [size=\"93087744\", alpha=\"0.01\", expect_size=\"46543872\"] \n  4 -> 5 [size =\"46543872\"]\n  5 [size=\"38488064\", alpha=\"0.05\", expect_size=\"19244032\"] \n  5 -> 6 [size =\"19244032\"]\n  6 [size=\"42237952\", alpha=\"0.19\", expect_size=\"21118976\"] \n  6 -> 7 [size =\"21118976\"]\n  7 [size=\"28889088\", alpha=\"0.11\", expect_size=\"14444544\"] \n  7 -> 8 [size =\"14444544\"]\n  8 [size=\"59553792\", alpha=\"0.09\", expect_size=\"29776896\"] \n  8 -> 9 [size =\"29776896\"]\n  9 [size=\"87011328\", alpha=\"0.08\", expect_size=\"43505664\"] \n  9 -> 10 [size =\"43505664\"]\n  10 [size=\"11255808\", alpha=\"0.14\", expect_size=\"5627904\"] \n  10 -> 11 [size =\"5627904\"]\n  11 [size=\"20357120\", alpha=\"0.13\", expect_size=\"10178560\"] \n  11 -> 12 [size =\"10178560\"]\n  12 [size=\"99483648\", alpha=\"0.14\", expect_size=\"49741824\"] \n  12 -> 13 [size =\"49741824\"]\n  13 [size=\"70107136\", alpha=\"0.03\", expect_size=\"35053568\"] \n  13 -> 14 [size =\"35053568\"]\n  14 [size=\"96049152\", alpha=\"0.16\", expect_size=\"48024576\"] \n  14 -> 15 [size =\"48024576\"]\n  15 [size=\"98484224\", alpha=\"0.16\", expect_size=\"49242112\"] \n  15 -> 16 [size =\"49242112\"]\n  16 [size=\"27054080\", alpha=\"0.14\", expect_size=\"13527040\"] \n  16 -> 17 [size =\"13527040\"]\n  17 [size=\"23453696\", alpha=\"0.03\", expect_size=\"11726848\"] \n  17 -> 18 [size =\"11726848\"]\n  18 [size=\"76894208\", alpha=\"0.12\", expect_size=\"38447104\"] \n  18 -> 19 [size =\"38447104\"]\n  19 [size=\"25587712\", alpha=\"0.09\", expect_size=\"12793856\"] \n  19 -> 20 [size =\"12793856\"]\n  20 [size=\"62183424\", alpha=\"0.01\", expect_size=\"31091712\"] \n  20 -> 21 [size =\"31091712\"]\n  21 [size=\"34205696\", alpha=\"0.07\", expect_size=\"17102848\"] \n  21 -> 22 [size =\"17102848\"]\n  22 [size=\"95232000\", alpha=\"0.00\", expect_size=\"47616000\"] \n  22 -> 23 [size =\"47616000\"]\n  23 [size=\"68474880\", alpha=\"0.02\", expect_size=\"34237440\"] \n  23 -> 24 [size =\"34237440\"]\n  24 [size=\"81874944\", alpha=\"0.00\", expect_size=\"40937472\"] \n  24 -> 25 [size =\"40937472\"]\n  25 [size=\"63746048\", alpha=\"0.05\", expect_size=\"31873024\"] \n  25 -> 26 [size =\"31873024\"]\n  26 [size=\"46202880\", alpha=\"0.17\", expect_size=\"23101440\"] \n  26 -> 27 [size =\"23101440\"]\n  27 [size=\"16076800\", alpha=\"0.12\", expect_size=\"8038400\"] \n  27 -> 28 [size =\"8038400\"]\n  28 [size=\"29065216\", alpha=\"0.18\", expect_size=\"14532608\"] \n  28 -> 29 [size =\"14532608\"]\n  29 [size=\"88004608\", alpha=\"0.20\", expect_size=\"44002304\"] \n  29 -> 30 [size =\"44002304\"]\n  30 [size=\"37285888\", alpha=\"0.02\", expect_size=\"18642944\"] \n  30 -> 31 [size =\"18642944\"]\n  31 [size=\"40169472\", alpha=\"0.06\", expect_size=\"20084736\"] \n  31 -> 32 [size =\"20084736\"]\n  32 [size=\"75124736\", alpha=\"0.10\", expect_size=\"37562368\"] \n  32 -> 33 [size =\"37562368\"]\n  33 [size=\"76376064\", alpha=\"0.05\", expect_size=\"38188032\"] \n  33 -> 34 [size =\"38188032\"]\n  34 [size=\"83906560\", alpha=\"0.19\", expect_size=\"41953280\"] \n  34 -> 35 [size =\"41953280\"]\n  35 [size=\"85944320\", alpha=\"0.12\", expect_size=\"42972160\"] \n  35 -> 36 [size =\"42972160\"]\n  36 [size=\"16123904\", alpha=\"0.08\", expect_size=\"8061952\"] \n  36 -> 37 [size =\"8061952\"]\n  37 [size=\"94939136\", alpha=\"0.07\", expect_size=\"47469568\"] \n  37 -> 38 [size =\"47469568\"]\n  38 [size=\"57679872\", alpha=\"0.20\", expect_size=\"28839936\"] \n  38 -> 39 [size =\"28839936\"]\n  39 [size=\"47788032\", alpha=\"0.16\", expect_size=\"23894016\"] \n  39 -> 40 [size =\"23894016\"]\n  40 [size=\"47417344\", alpha=\"0.03\", expect_size=\"23708672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50810880\", alpha=\"0.11\", expect_size=\"15243264\"] \n  1 -> 2 [size =\"15243264\"]\n  2 [size=\"103522987\", alpha=\"0.08\", expect_size=\"31056896\"] \n  2 -> 3 [size =\"31056896\"]\n  3 [size=\"110039040\", alpha=\"0.20\", expect_size=\"33011712\"] \n  3 -> 4 [size =\"33011712\"]\n  4 [size=\"84845227\", alpha=\"0.18\", expect_size=\"25453568\"] \n  4 -> 5 [size =\"25453568\"]\n  5 [size=\"168495787\", alpha=\"0.17\", expect_size=\"50548736\"] \n  5 -> 6 [size =\"50548736\"]\n  6 [size=\"168645973\", alpha=\"0.20\", expect_size=\"50593792\"] \n  6 -> 7 [size =\"50593792\"]\n  7 [size=\"50940587\", alpha=\"0.04\", expect_size=\"15282176\"] \n  7 -> 8 [size =\"15282176\"]\n  8 [size=\"138864640\", alpha=\"0.01\", expect_size=\"41659392\"] \n  8 -> 9 [size =\"41659392\"]\n  9 [size=\"80687787\", alpha=\"0.16\", expect_size=\"24206336\"] \n  9 -> 10 [size =\"24206336\"]\n  10 [size=\"77185707\", alpha=\"0.11\", expect_size=\"23155712\"] \n  10 -> 11 [size =\"23155712\"]\n  11 [size=\"75202560\", alpha=\"0.08\", expect_size=\"22560768\"] \n  11 -> 12 [size =\"22560768\"]\n  12 [size=\"162109440\", alpha=\"0.00\", expect_size=\"48632832\"] \n  12 -> 13 [size =\"48632832\"]\n  13 [size=\"65396053\", alpha=\"0.07\", expect_size=\"19618816\"] \n  13 -> 14 [size =\"19618816\"]\n  14 [size=\"65191253\", alpha=\"0.04\", expect_size=\"19557376\"] \n  14 -> 15 [size =\"19557376\"]\n  15 [size=\"48360107\", alpha=\"0.17\", expect_size=\"14508032\"] \n  15 -> 16 [size =\"14508032\"]\n  16 [size=\"24903680\", alpha=\"0.06\", expect_size=\"7471104\"] \n  16 -> 17 [size =\"7471104\"]\n  17 [size=\"22889813\", alpha=\"0.01\", expect_size=\"6866944\"] \n  17 -> 18 [size =\"6866944\"]\n  18 [size=\"57036800\", alpha=\"0.14\", expect_size=\"17111040\"] \n  18 -> 19 [size =\"17111040\"]\n  19 [size=\"66235733\", alpha=\"0.15\", expect_size=\"19870720\"] \n  19 -> 20 [size =\"19870720\"]\n  20 [size=\"36212053\", alpha=\"0.17\", expect_size=\"10863616\"] \n  20 -> 21 [size =\"10863616\"]\n  21 [size=\"120200533\", alpha=\"0.02\", expect_size=\"36060160\"] \n  21 -> 22 [size =\"36060160\"]\n  22 [size=\"26644480\", alpha=\"0.19\", expect_size=\"7993344\"] \n  22 -> 23 [size =\"7993344\"]\n  23 [size=\"27723093\", alpha=\"0.07\", expect_size=\"8316928\"] \n  23 -> 24 [size =\"8316928\"]\n  24 [size=\"79305387\", alpha=\"0.04\", expect_size=\"23791616\"] \n  24 -> 25 [size =\"23791616\"]\n  25 [size=\"112967680\", alpha=\"0.20\", expect_size=\"33890304\"] \n  25 -> 26 [size =\"33890304\"]\n  26 [size=\"88958293\", alpha=\"0.15\", expect_size=\"26687488\"] \n  26 -> 27 [size =\"26687488\"]\n  27 [size=\"136424107\", alpha=\"0.14\", expect_size=\"40927232\"] \n  27 -> 28 [size =\"40927232\"]\n  28 [size=\"141786453\", alpha=\"0.09\", expect_size=\"42535936\"] \n  28 -> 29 [size =\"42535936\"]\n  29 [size=\"94866773\", alpha=\"0.12\", expect_size=\"28460032\"] \n  29 -> 30 [size =\"28460032\"]\n  30 [size=\"58197333\", alpha=\"0.03\", expect_size=\"17459200\"] \n  30 -> 31 [size =\"17459200\"]\n  31 [size=\"31685973\", alpha=\"0.01\", expect_size=\"9505792\"] \n  31 -> 32 [size =\"9505792\"]\n  32 [size=\"48674133\", alpha=\"0.17\", expect_size=\"14602240\"] \n  32 -> 33 [size =\"14602240\"]\n  33 [size=\"37922133\", alpha=\"0.19\", expect_size=\"11376640\"] \n  33 -> 34 [size =\"11376640\"]\n  34 [size=\"91992747\", alpha=\"0.08\", expect_size=\"27597824\"] \n  34 -> 35 [size =\"27597824\"]\n  35 [size=\"120968533\", alpha=\"0.00\", expect_size=\"36290560\"] \n  35 -> 36 [size =\"36290560\"]\n  36 [size=\"118589440\", alpha=\"0.14\", expect_size=\"35576832\"] \n  36 -> 37 [size =\"35576832\"]\n  37 [size=\"78728533\", alpha=\"0.08\", expect_size=\"23618560\"] \n  37 -> 38 [size =\"23618560\"]\n  38 [size=\"34860373\", alpha=\"0.07\", expect_size=\"10458112\"] \n  38 -> 39 [size =\"10458112\"]\n  39 [size=\"108369920\", alpha=\"0.12\", expect_size=\"32510976\"] \n  39 -> 40 [size =\"32510976\"]\n  40 [size=\"47899307\", alpha=\"0.19\", expect_size=\"14369792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27379712\", alpha=\"0.06\", expect_size=\"13689856\"] \n  1 -> 27 [size =\"13689856\"]\n  1 -> 29 [size =\"13689856\"]\n  1 -> 33 [size =\"13689856\"]\n  2 [size=\"38084608\", alpha=\"0.11\", expect_size=\"19042304\"] \n  2 -> 28 [size =\"19042304\"]\n  2 -> 30 [size =\"19042304\"]\n  2 -> 38 [size =\"19042304\"]\n  3 [size=\"22228992\", alpha=\"0.03\", expect_size=\"11114496\"] \n  3 -> 26 [size =\"11114496\"]\n  3 -> 37 [size =\"11114496\"]\n  3 -> 38 [size =\"11114496\"]\n  3 -> 40 [size =\"11114496\"]\n  4 [size=\"94806016\", alpha=\"0.07\", expect_size=\"47403008\"] \n  4 -> 26 [size =\"47403008\"]\n  4 -> 29 [size =\"47403008\"]\n  4 -> 30 [size =\"47403008\"]\n  4 -> 34 [size =\"47403008\"]\n  4 -> 37 [size =\"47403008\"]\n  4 -> 38 [size =\"47403008\"]\n  5 [size=\"40800256\", alpha=\"0.12\", expect_size=\"20400128\"] \n  5 -> 25 [size =\"20400128\"]\n  5 -> 29 [size =\"20400128\"]\n  5 -> 34 [size =\"20400128\"]\n  5 -> 35 [size =\"20400128\"]\n  5 -> 36 [size =\"20400128\"]\n  5 -> 37 [size =\"20400128\"]\n  6 [size=\"24504320\", alpha=\"0.08\", expect_size=\"12252160\"] \n  6 -> 24 [size =\"12252160\"]\n  6 -> 26 [size =\"12252160\"]\n  6 -> 27 [size =\"12252160\"]\n  6 -> 29 [size =\"12252160\"]\n  6 -> 34 [size =\"12252160\"]\n  7 [size=\"14874624\", alpha=\"0.03\", expect_size=\"7437312\"] \n  7 -> 26 [size =\"7437312\"]\n  7 -> 26 [size =\"7437312\"]\n  7 -> 29 [size =\"7437312\"]\n  7 -> 29 [size =\"7437312\"]\n  7 -> 33 [size =\"7437312\"]\n  7 -> 34 [size =\"7437312\"]\n  7 -> 40 [size =\"7437312\"]\n  8 [size=\"30197760\", alpha=\"0.06\", expect_size=\"15098880\"] \n  8 -> 31 [size =\"15098880\"]\n  8 -> 34 [size =\"15098880\"]\n  8 -> 37 [size =\"15098880\"]\n  9 [size=\"16713728\", alpha=\"0.09\", expect_size=\"8356864\"] \n  9 -> 29 [size =\"8356864\"]\n  9 -> 34 [size =\"8356864\"]\n  9 -> 35 [size =\"8356864\"]\n  9 -> 36 [size =\"8356864\"]\n  9 -> 37 [size =\"8356864\"]\n  9 -> 38 [size =\"8356864\"]\n  10 [size=\"92514304\", alpha=\"0.17\", expect_size=\"46257152\"] \n  10 -> 25 [size =\"46257152\"]\n  10 -> 26 [size =\"46257152\"]\n  10 -> 36 [size =\"46257152\"]\n  10 -> 38 [size =\"46257152\"]\n  10 -> 40 [size =\"46257152\"]\n  11 [size=\"39602176\", alpha=\"0.19\", expect_size=\"19801088\"] \n  11 -> 38 [size =\"19801088\"]\n  12 [size=\"65941504\", alpha=\"0.15\", expect_size=\"32970752\"] \n  12 -> 26 [size =\"32970752\"]\n  12 -> 27 [size =\"32970752\"]\n  12 -> 31 [size =\"32970752\"]\n  12 -> 35 [size =\"32970752\"]\n  12 -> 38 [size =\"32970752\"]\n  13 [size=\"25014272\", alpha=\"0.03\", expect_size=\"12507136\"] \n  13 -> 26 [size =\"12507136\"]\n  13 -> 27 [size =\"12507136\"]\n  13 -> 40 [size =\"12507136\"]\n  14 [size=\"40814592\", alpha=\"0.06\", expect_size=\"20407296\"] \n  14 -> 35 [size =\"20407296\"]\n  14 -> 37 [size =\"20407296\"]\n  15 [size=\"72562688\", alpha=\"0.15\", expect_size=\"36281344\"] \n  15 -> 25 [size =\"36281344\"]\n  15 -> 26 [size =\"36281344\"]\n  15 -> 31 [size =\"36281344\"]\n  15 -> 35 [size =\"36281344\"]\n  15 -> 36 [size =\"36281344\"]\n  16 [size=\"33427456\", alpha=\"0.20\", expect_size=\"16713728\"] \n  16 -> 27 [size =\"16713728\"]\n  16 -> 30 [size =\"16713728\"]\n  16 -> 32 [size =\"16713728\"]\n  16 -> 35 [size =\"16713728\"]\n  16 -> 38 [size =\"16713728\"]\n  17 [size=\"70385664\", alpha=\"0.03\", expect_size=\"35192832\"] \n  17 -> 27 [size =\"35192832\"]\n  17 -> 31 [size =\"35192832\"]\n  18 [size=\"85133312\", alpha=\"0.02\", expect_size=\"42566656\"] \n  18 -> 27 [size =\"42566656\"]\n  18 -> 29 [size =\"42566656\"]\n  18 -> 30 [size =\"42566656\"]\n  18 -> 31 [size =\"42566656\"]\n  18 -> 32 [size =\"42566656\"]\n  18 -> 35 [size =\"42566656\"]\n  19 [size=\"17520640\", alpha=\"0.05\", expect_size=\"8760320\"] \n  19 -> 29 [size =\"8760320\"]\n  19 -> 30 [size =\"8760320\"]\n  19 -> 31 [size =\"8760320\"]\n  19 -> 35 [size =\"8760320\"]\n  19 -> 37 [size =\"8760320\"]\n  19 -> 40 [size =\"8760320\"]\n  20 [size=\"61628416\", alpha=\"0.11\", expect_size=\"30814208\"] \n  20 -> 29 [size =\"30814208\"]\n  20 -> 30 [size =\"30814208\"]\n  20 -> 35 [size =\"30814208\"]\n  20 -> 40 [size =\"30814208\"]\n  21 [size=\"46747648\", alpha=\"0.01\", expect_size=\"23373824\"] \n  21 -> 25 [size =\"23373824\"]\n  21 -> 27 [size =\"23373824\"]\n  21 -> 36 [size =\"23373824\"]\n  21 -> 38 [size =\"23373824\"]\n  22 [size=\"41623552\", alpha=\"0.16\", expect_size=\"20811776\"] \n  22 -> 25 [size =\"20811776\"]\n  22 -> 27 [size =\"20811776\"]\n  22 -> 29 [size =\"20811776\"]\n  22 -> 38 [size =\"20811776\"]\n  22 -> 39 [size =\"20811776\"]\n  22 -> 40 [size =\"20811776\"]\n  23 [size=\"20008960\", alpha=\"0.14\", expect_size=\"10004480\"] \n  23 -> 25 [size =\"10004480\"]\n  23 -> 36 [size =\"10004480\"]\n  23 -> 37 [size =\"10004480\"]\n  23 -> 38 [size =\"10004480\"]\n  23 -> 40 [size =\"10004480\"]\n  23 -> 40 [size =\"10004480\"]\n  24 [size=\"34588672\", alpha=\"0.10\", expect_size=\"17294336\"] \n  25 [size=\"62382080\", alpha=\"0.12\", expect_size=\"31191040\"] \n  26 [size=\"39563264\", alpha=\"0.17\", expect_size=\"19781632\"] \n  27 [size=\"38469632\", alpha=\"0.04\", expect_size=\"19234816\"] \n  28 [size=\"51105792\", alpha=\"0.14\", expect_size=\"25552896\"] \n  29 [size=\"60612608\", alpha=\"0.06\", expect_size=\"30306304\"] \n  30 [size=\"84383744\", alpha=\"0.15\", expect_size=\"42191872\"] \n  31 [size=\"42262528\", alpha=\"0.10\", expect_size=\"21131264\"] \n  32 [size=\"45512704\", alpha=\"0.17\", expect_size=\"22756352\"] \n  33 [size=\"27363328\", alpha=\"0.07\", expect_size=\"13681664\"] \n  34 [size=\"93931520\", alpha=\"0.03\", expect_size=\"46965760\"] \n  35 [size=\"46422016\", alpha=\"0.13\", expect_size=\"23211008\"] \n  36 [size=\"103892992\", alpha=\"0.07\", expect_size=\"51946496\"] \n  37 [size=\"91621376\", alpha=\"0.14\", expect_size=\"45810688\"] \n  38 [size=\"13993984\", alpha=\"0.17\", expect_size=\"6996992\"] \n  39 [size=\"79468544\", alpha=\"0.02\", expect_size=\"39734272\"] \n  40 [size=\"11161600\", alpha=\"0.17\", expect_size=\"5580800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71569408\", alpha=\"0.11\", expect_size=\"35784704\"] \n  1 -> 15 [size =\"35784704\"]\n  1 -> 16 [size =\"35784704\"]\n  1 -> 19 [size =\"35784704\"]\n  1 -> 21 [size =\"35784704\"]\n  1 -> 25 [size =\"35784704\"]\n  1 -> 28 [size =\"35784704\"]\n  2 [size=\"72433664\", alpha=\"0.11\", expect_size=\"36216832\"] \n  2 -> 16 [size =\"36216832\"]\n  2 -> 18 [size =\"36216832\"]\n  2 -> 19 [size =\"36216832\"]\n  2 -> 21 [size =\"36216832\"]\n  2 -> 22 [size =\"36216832\"]\n  2 -> 24 [size =\"36216832\"]\n  3 [size=\"28069888\", alpha=\"0.09\", expect_size=\"14034944\"] \n  3 -> 16 [size =\"14034944\"]\n  3 -> 17 [size =\"14034944\"]\n  3 -> 18 [size =\"14034944\"]\n  3 -> 19 [size =\"14034944\"]\n  3 -> 22 [size =\"14034944\"]\n  3 -> 28 [size =\"14034944\"]\n  4 [size=\"51994624\", alpha=\"0.08\", expect_size=\"25997312\"] \n  4 -> 16 [size =\"25997312\"]\n  4 -> 18 [size =\"25997312\"]\n  4 -> 18 [size =\"25997312\"]\n  4 -> 20 [size =\"25997312\"]\n  4 -> 21 [size =\"25997312\"]\n  4 -> 22 [size =\"25997312\"]\n  4 -> 27 [size =\"25997312\"]\n  5 [size=\"52783104\", alpha=\"0.12\", expect_size=\"26391552\"] \n  5 -> 16 [size =\"26391552\"]\n  5 -> 18 [size =\"26391552\"]\n  5 -> 23 [size =\"26391552\"]\n  5 -> 25 [size =\"26391552\"]\n  5 -> 28 [size =\"26391552\"]\n  6 [size=\"77942784\", alpha=\"0.05\", expect_size=\"38971392\"] \n  6 -> 14 [size =\"38971392\"]\n  6 -> 19 [size =\"38971392\"]\n  6 -> 20 [size =\"38971392\"]\n  6 -> 22 [size =\"38971392\"]\n  6 -> 23 [size =\"38971392\"]\n  6 -> 24 [size =\"38971392\"]\n  6 -> 27 [size =\"38971392\"]\n  6 -> 28 [size =\"38971392\"]\n  7 [size=\"16246784\", alpha=\"0.18\", expect_size=\"8123392\"] \n  7 -> 15 [size =\"8123392\"]\n  7 -> 19 [size =\"8123392\"]\n  7 -> 28 [size =\"8123392\"]\n  8 [size=\"33218560\", alpha=\"0.11\", expect_size=\"16609280\"] \n  8 -> 16 [size =\"16609280\"]\n  8 -> 22 [size =\"16609280\"]\n  8 -> 23 [size =\"16609280\"]\n  8 -> 26 [size =\"16609280\"]\n  8 -> 28 [size =\"16609280\"]\n  9 [size=\"24696832\", alpha=\"0.11\", expect_size=\"12348416\"] \n  9 -> 19 [size =\"12348416\"]\n  9 -> 23 [size =\"12348416\"]\n  9 -> 28 [size =\"12348416\"]\n  10 [size=\"80457728\", alpha=\"0.16\", expect_size=\"40228864\"] \n  10 -> 15 [size =\"40228864\"]\n  10 -> 18 [size =\"40228864\"]\n  10 -> 21 [size =\"40228864\"]\n  11 [size=\"56166400\", alpha=\"0.01\", expect_size=\"28083200\"] \n  11 -> 18 [size =\"28083200\"]\n  11 -> 19 [size =\"28083200\"]\n  11 -> 21 [size =\"28083200\"]\n  11 -> 22 [size =\"28083200\"]\n  11 -> 25 [size =\"28083200\"]\n  11 -> 27 [size =\"28083200\"]\n  12 [size=\"13320192\", alpha=\"0.06\", expect_size=\"6660096\"] \n  12 -> 16 [size =\"6660096\"]\n  12 -> 19 [size =\"6660096\"]\n  12 -> 23 [size =\"6660096\"]\n  12 -> 25 [size =\"6660096\"]\n  13 [size=\"65351680\", alpha=\"0.10\", expect_size=\"32675840\"] \n  13 -> 16 [size =\"32675840\"]\n  13 -> 18 [size =\"32675840\"]\n  13 -> 19 [size =\"32675840\"]\n  13 -> 22 [size =\"32675840\"]\n  13 -> 25 [size =\"32675840\"]\n  14 [size=\"12574720\", alpha=\"0.06\", expect_size=\"6287360\"] \n  14 -> 33 [size =\"6287360\"]\n  14 -> 35 [size =\"6287360\"]\n  14 -> 38 [size =\"6287360\"]\n  15 [size=\"48502784\", alpha=\"0.20\", expect_size=\"24251392\"] \n  15 -> 30 [size =\"24251392\"]\n  15 -> 32 [size =\"24251392\"]\n  15 -> 35 [size =\"24251392\"]\n  15 -> 36 [size =\"24251392\"]\n  15 -> 38 [size =\"24251392\"]\n  16 [size=\"12085248\", alpha=\"0.03\", expect_size=\"6042624\"] \n  16 -> 30 [size =\"6042624\"]\n  16 -> 32 [size =\"6042624\"]\n  16 -> 37 [size =\"6042624\"]\n  17 [size=\"35776512\", alpha=\"0.02\", expect_size=\"17888256\"] \n  17 -> 32 [size =\"17888256\"]\n  18 [size=\"28481536\", alpha=\"0.02\", expect_size=\"14240768\"] \n  18 -> 29 [size =\"14240768\"]\n  18 -> 30 [size =\"14240768\"]\n  18 -> 31 [size =\"14240768\"]\n  18 -> 32 [size =\"14240768\"]\n  18 -> 33 [size =\"14240768\"]\n  18 -> 34 [size =\"14240768\"]\n  18 -> 36 [size =\"14240768\"]\n  19 [size=\"79290368\", alpha=\"0.12\", expect_size=\"39645184\"] \n  19 -> 32 [size =\"39645184\"]\n  19 -> 33 [size =\"39645184\"]\n  19 -> 38 [size =\"39645184\"]\n  20 [size=\"34891776\", alpha=\"0.17\", expect_size=\"17445888\"] \n  20 -> 37 [size =\"17445888\"]\n  21 [size=\"17270784\", alpha=\"0.16\", expect_size=\"8635392\"] \n  21 -> 30 [size =\"8635392\"]\n  21 -> 35 [size =\"8635392\"]\n  21 -> 38 [size =\"8635392\"]\n  21 -> 39 [size =\"8635392\"]\n  22 [size=\"21688320\", alpha=\"0.07\", expect_size=\"10844160\"] \n  22 -> 29 [size =\"10844160\"]\n  22 -> 30 [size =\"10844160\"]\n  22 -> 33 [size =\"10844160\"]\n  22 -> 36 [size =\"10844160\"]\n  22 -> 39 [size =\"10844160\"]\n  23 [size=\"48271360\", alpha=\"0.02\", expect_size=\"24135680\"] \n  23 -> 32 [size =\"24135680\"]\n  23 -> 37 [size =\"24135680\"]\n  23 -> 38 [size =\"24135680\"]\n  24 [size=\"95313920\", alpha=\"0.06\", expect_size=\"47656960\"] \n  24 -> 29 [size =\"47656960\"]\n  24 -> 30 [size =\"47656960\"]\n  24 -> 32 [size =\"47656960\"]\n  24 -> 35 [size =\"47656960\"]\n  24 -> 38 [size =\"47656960\"]\n  25 [size=\"29485056\", alpha=\"0.19\", expect_size=\"14742528\"] \n  25 -> 30 [size =\"14742528\"]\n  25 -> 32 [size =\"14742528\"]\n  25 -> 32 [size =\"14742528\"]\n  25 -> 37 [size =\"14742528\"]\n  25 -> 38 [size =\"14742528\"]\n  26 [size=\"27521024\", alpha=\"0.06\", expect_size=\"13760512\"] \n  26 -> 29 [size =\"13760512\"]\n  26 -> 30 [size =\"13760512\"]\n  26 -> 31 [size =\"13760512\"]\n  26 -> 34 [size =\"13760512\"]\n  26 -> 38 [size =\"13760512\"]\n  27 [size=\"43577344\", alpha=\"0.14\", expect_size=\"21788672\"] \n  27 -> 29 [size =\"21788672\"]\n  27 -> 30 [size =\"21788672\"]\n  27 -> 31 [size =\"21788672\"]\n  27 -> 33 [size =\"21788672\"]\n  27 -> 37 [size =\"21788672\"]\n  27 -> 38 [size =\"21788672\"]\n  28 [size=\"55011328\", alpha=\"0.07\", expect_size=\"27505664\"] \n  28 -> 30 [size =\"27505664\"]\n  28 -> 32 [size =\"27505664\"]\n  28 -> 34 [size =\"27505664\"]\n  28 -> 38 [size =\"27505664\"]\n  29 [size=\"65079296\", alpha=\"0.03\", expect_size=\"32539648\"] \n  29 -> 40 [size =\"32539648\"]\n  30 [size=\"27680768\", alpha=\"0.14\", expect_size=\"13840384\"] \n  30 -> 40 [size =\"13840384\"]\n  31 [size=\"15069184\", alpha=\"0.15\", expect_size=\"7534592\"] \n  31 -> 40 [size =\"7534592\"]\n  32 [size=\"88328192\", alpha=\"0.16\", expect_size=\"44164096\"] \n  33 [size=\"26292224\", alpha=\"0.09\", expect_size=\"13146112\"] \n  34 [size=\"35287040\", alpha=\"0.03\", expect_size=\"17643520\"] \n  35 [size=\"62453760\", alpha=\"0.04\", expect_size=\"31226880\"] \n  36 [size=\"55715840\", alpha=\"0.06\", expect_size=\"27857920\"] \n  36 -> 40 [size =\"27857920\"]\n  37 [size=\"82534400\", alpha=\"0.13\", expect_size=\"41267200\"] \n  37 -> 40 [size =\"41267200\"]\n  38 [size=\"54296576\", alpha=\"0.04\", expect_size=\"27148288\"] \n  38 -> 40 [size =\"27148288\"]\n  39 [size=\"88109056\", alpha=\"0.09\", expect_size=\"44054528\"] \n  39 -> 40 [size =\"44054528\"]\n  40 [size=\"103813120\", alpha=\"0.20\", expect_size=\"51906560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66020693\", alpha=\"0.00\", expect_size=\"19806208\"] \n  2 [size=\"101713920\", alpha=\"0.07\", expect_size=\"30514176\"] \n  2 -> 3 [size =\"30514176\"]\n  2 -> 4 [size =\"30514176\"]\n  2 -> 5 [size =\"30514176\"]\n  3 [size=\"169052160\", alpha=\"0.18\", expect_size=\"50715648\"] \n  3 -> 6 [size =\"50715648\"]\n  4 [size=\"48377173\", alpha=\"0.19\", expect_size=\"14513152\"] \n  4 -> 6 [size =\"14513152\"]\n  4 -> 7 [size =\"14513152\"]\n  5 [size=\"69785600\", alpha=\"0.15\", expect_size=\"20935680\"] \n  5 -> 7 [size =\"20935680\"]\n  6 [size=\"118166187\", alpha=\"0.03\", expect_size=\"35449856\"] \n  6 -> 9 [size =\"35449856\"]\n  7 [size=\"21084160\", alpha=\"0.16\", expect_size=\"6325248\"] \n  7 -> 8 [size =\"6325248\"]\n  8 [size=\"63235413\", alpha=\"0.03\", expect_size=\"18970624\"] \n  8 -> 10 [size =\"18970624\"]\n  9 [size=\"97931947\", alpha=\"0.14\", expect_size=\"29379584\"] \n  9 -> 11 [size =\"29379584\"]\n  10 [size=\"57545387\", alpha=\"0.10\", expect_size=\"17263616\"] \n  10 -> 13 [size =\"17263616\"]\n  10 -> 14 [size =\"17263616\"]\n  11 [size=\"26036907\", alpha=\"0.04\", expect_size=\"7811072\"] \n  11 -> 12 [size =\"7811072\"]\n  12 [size=\"26053973\", alpha=\"0.00\", expect_size=\"7816192\"] \n  12 -> 16 [size =\"7816192\"]\n  13 [size=\"82479787\", alpha=\"0.04\", expect_size=\"24743936\"] \n  13 -> 15 [size =\"24743936\"]\n  14 [size=\"63713280\", alpha=\"0.12\", expect_size=\"19113984\"] \n  14 -> 16 [size =\"19113984\"]\n  15 [size=\"52305920\", alpha=\"0.14\", expect_size=\"15691776\"] \n  15 -> 18 [size =\"15691776\"]\n  15 -> 19 [size =\"15691776\"]\n  16 [size=\"171636053\", alpha=\"0.08\", expect_size=\"51490816\"] \n  16 -> 17 [size =\"51490816\"]\n  17 [size=\"37365760\", alpha=\"0.03\", expect_size=\"11209728\"] \n  17 -> 21 [size =\"11209728\"]\n  18 [size=\"166287360\", alpha=\"0.12\", expect_size=\"49886208\"] \n  18 -> 20 [size =\"49886208\"]\n  19 [size=\"34665813\", alpha=\"0.05\", expect_size=\"10399744\"] \n  20 [size=\"144885760\", alpha=\"0.09\", expect_size=\"43465728\"] \n  20 -> 22 [size =\"43465728\"]\n  20 -> 23 [size =\"43465728\"]\n  21 [size=\"63761067\", alpha=\"0.20\", expect_size=\"19128320\"] \n  22 [size=\"92832427\", alpha=\"0.01\", expect_size=\"27849728\"] \n  22 -> 25 [size =\"27849728\"]\n  23 [size=\"95163733\", alpha=\"0.01\", expect_size=\"28549120\"] \n  23 -> 24 [size =\"28549120\"]\n  24 [size=\"126805333\", alpha=\"0.05\", expect_size=\"38041600\"] \n  24 -> 26 [size =\"38041600\"]\n  24 -> 28 [size =\"38041600\"]\n  25 [size=\"63563093\", alpha=\"0.16\", expect_size=\"19068928\"] \n  25 -> 27 [size =\"19068928\"]\n  26 [size=\"18373973\", alpha=\"0.20\", expect_size=\"5512192\"] \n  27 [size=\"84029440\", alpha=\"0.04\", expect_size=\"25208832\"] \n  27 -> 29 [size =\"25208832\"]\n  27 -> 31 [size =\"25208832\"]\n  28 [size=\"105328640\", alpha=\"0.14\", expect_size=\"31598592\"] \n  28 -> 30 [size =\"31598592\"]\n  28 -> 31 [size =\"31598592\"]\n  29 [size=\"42052267\", alpha=\"0.14\", expect_size=\"12615680\"] \n  29 -> 34 [size =\"12615680\"]\n  30 [size=\"83384320\", alpha=\"0.19\", expect_size=\"25015296\"] \n  30 -> 32 [size =\"25015296\"]\n  31 [size=\"157098667\", alpha=\"0.06\", expect_size=\"47129600\"] \n  31 -> 33 [size =\"47129600\"]\n  31 -> 34 [size =\"47129600\"]\n  32 [size=\"154446507\", alpha=\"0.13\", expect_size=\"46333952\"] \n  32 -> 35 [size =\"46333952\"]\n  32 -> 36 [size =\"46333952\"]\n  33 [size=\"159675733\", alpha=\"0.09\", expect_size=\"47902720\"] \n  33 -> 37 [size =\"47902720\"]\n  34 [size=\"167072427\", alpha=\"0.10\", expect_size=\"50121728\"] \n  34 -> 35 [size =\"50121728\"]\n  35 [size=\"50254507\", alpha=\"0.16\", expect_size=\"15076352\"] \n  35 -> 40 [size =\"15076352\"]\n  36 [size=\"18821120\", alpha=\"0.02\", expect_size=\"5646336\"] \n  36 -> 39 [size =\"5646336\"]\n  37 [size=\"173462187\", alpha=\"0.10\", expect_size=\"52038656\"] \n  37 -> 38 [size =\"52038656\"]\n  37 -> 39 [size =\"52038656\"]\n  38 [size=\"45929813\", alpha=\"0.17\", expect_size=\"13778944\"] \n  39 [size=\"153838933\", alpha=\"0.06\", expect_size=\"46151680\"] \n  40 [size=\"105796267\", alpha=\"0.12\", expect_size=\"31738880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31885312\", alpha=\"0.17\", expect_size=\"15942656\"] \n  2 [size=\"55033856\", alpha=\"0.17\", expect_size=\"27516928\"] \n  2 -> 4 [size =\"27516928\"]\n  2 -> 5 [size =\"27516928\"]\n  3 [size=\"97830912\", alpha=\"0.13\", expect_size=\"48915456\"] \n  4 [size=\"40011776\", alpha=\"0.10\", expect_size=\"20005888\"] \n  4 -> 6 [size =\"20005888\"]\n  4 -> 7 [size =\"20005888\"]\n  4 -> 8 [size =\"20005888\"]\n  5 [size=\"33001472\", alpha=\"0.01\", expect_size=\"16500736\"] \n  5 -> 6 [size =\"16500736\"]\n  5 -> 8 [size =\"16500736\"]\n  6 [size=\"72210432\", alpha=\"0.01\", expect_size=\"36105216\"] \n  6 -> 9 [size =\"36105216\"]\n  6 -> 10 [size =\"36105216\"]\n  7 [size=\"13760512\", alpha=\"0.11\", expect_size=\"6880256\"] \n  8 [size=\"45221888\", alpha=\"0.09\", expect_size=\"22610944\"] \n  8 -> 10 [size =\"22610944\"]\n  9 [size=\"66041856\", alpha=\"0.20\", expect_size=\"33020928\"] \n  9 -> 11 [size =\"33020928\"]\n  9 -> 12 [size =\"33020928\"]\n  10 [size=\"32339968\", alpha=\"0.04\", expect_size=\"16169984\"] \n  10 -> 11 [size =\"16169984\"]\n  10 -> 12 [size =\"16169984\"]\n  11 [size=\"48386048\", alpha=\"0.01\", expect_size=\"24193024\"] \n  11 -> 13 [size =\"24193024\"]\n  11 -> 15 [size =\"24193024\"]\n  12 [size=\"34887680\", alpha=\"0.11\", expect_size=\"17443840\"] \n  12 -> 13 [size =\"17443840\"]\n  12 -> 14 [size =\"17443840\"]\n  13 [size=\"22282240\", alpha=\"0.17\", expect_size=\"11141120\"] \n  13 -> 17 [size =\"11141120\"]\n  14 [size=\"83757056\", alpha=\"0.04\", expect_size=\"41878528\"] \n  14 -> 16 [size =\"41878528\"]\n  14 -> 17 [size =\"41878528\"]\n  15 [size=\"37793792\", alpha=\"0.03\", expect_size=\"18896896\"] \n  15 -> 16 [size =\"18896896\"]\n  16 [size=\"41193472\", alpha=\"0.03\", expect_size=\"20596736\"] \n  16 -> 18 [size =\"20596736\"]\n  16 -> 19 [size =\"20596736\"]\n  17 [size=\"46610432\", alpha=\"0.15\", expect_size=\"23305216\"] \n  17 -> 18 [size =\"23305216\"]\n  18 [size=\"98086912\", alpha=\"0.15\", expect_size=\"49043456\"] \n  18 -> 20 [size =\"49043456\"]\n  18 -> 21 [size =\"49043456\"]\n  19 [size=\"44580864\", alpha=\"0.13\", expect_size=\"22290432\"] \n  20 [size=\"42311680\", alpha=\"0.17\", expect_size=\"21155840\"] \n  20 -> 24 [size =\"21155840\"]\n  21 [size=\"60379136\", alpha=\"0.05\", expect_size=\"30189568\"] \n  21 -> 22 [size =\"30189568\"]\n  21 -> 23 [size =\"30189568\"]\n  21 -> 24 [size =\"30189568\"]\n  22 [size=\"67356672\", alpha=\"0.02\", expect_size=\"33678336\"] \n  23 [size=\"23601152\", alpha=\"0.18\", expect_size=\"11800576\"] \n  23 -> 25 [size =\"11800576\"]\n  23 -> 26 [size =\"11800576\"]\n  24 [size=\"11393024\", alpha=\"0.20\", expect_size=\"5696512\"] \n  24 -> 26 [size =\"5696512\"]\n  25 [size=\"28620800\", alpha=\"0.06\", expect_size=\"14310400\"] \n  25 -> 27 [size =\"14310400\"]\n  25 -> 28 [size =\"14310400\"]\n  26 [size=\"44242944\", alpha=\"0.06\", expect_size=\"22121472\"] \n  26 -> 27 [size =\"22121472\"]\n  26 -> 28 [size =\"22121472\"]\n  26 -> 29 [size =\"22121472\"]\n  27 [size=\"57468928\", alpha=\"0.07\", expect_size=\"28734464\"] \n  27 -> 30 [size =\"28734464\"]\n  27 -> 31 [size =\"28734464\"]\n  27 -> 32 [size =\"28734464\"]\n  28 [size=\"31817728\", alpha=\"0.15\", expect_size=\"15908864\"] \n  29 [size=\"104390656\", alpha=\"0.15\", expect_size=\"52195328\"] \n  29 -> 31 [size =\"52195328\"]\n  29 -> 32 [size =\"52195328\"]\n  30 [size=\"73181184\", alpha=\"0.19\", expect_size=\"36590592\"] \n  30 -> 33 [size =\"36590592\"]\n  30 -> 34 [size =\"36590592\"]\n  30 -> 35 [size =\"36590592\"]\n  31 [size=\"57524224\", alpha=\"0.11\", expect_size=\"28762112\"] \n  31 -> 33 [size =\"28762112\"]\n  31 -> 34 [size =\"28762112\"]\n  32 [size=\"78819328\", alpha=\"0.09\", expect_size=\"39409664\"] \n  32 -> 35 [size =\"39409664\"]\n  33 [size=\"87244800\", alpha=\"0.09\", expect_size=\"43622400\"] \n  33 -> 37 [size =\"43622400\"]\n  34 [size=\"75776000\", alpha=\"0.05\", expect_size=\"37888000\"] \n  34 -> 36 [size =\"37888000\"]\n  35 [size=\"73936896\", alpha=\"0.06\", expect_size=\"36968448\"] \n  35 -> 36 [size =\"36968448\"]\n  36 [size=\"104243200\", alpha=\"0.14\", expect_size=\"52121600\"] \n  36 -> 38 [size =\"52121600\"]\n  36 -> 39 [size =\"52121600\"]\n  37 [size=\"39682048\", alpha=\"0.09\", expect_size=\"19841024\"] \n  37 -> 39 [size =\"19841024\"]\n  38 [size=\"72267776\", alpha=\"0.03\", expect_size=\"36133888\"] \n  38 -> 40 [size =\"36133888\"]\n  39 [size=\"47996928\", alpha=\"0.05\", expect_size=\"23998464\"] \n  39 -> 40 [size =\"23998464\"]\n  40 [size=\"22427648\", alpha=\"0.13\", expect_size=\"11213824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84087467\", alpha=\"0.15\", expect_size=\"25226240\"] \n  1 -> 2 [size =\"25226240\"]\n  2 [size=\"170591573\", alpha=\"0.12\", expect_size=\"51177472\"] \n  2 -> 3 [size =\"51177472\"]\n  3 [size=\"136062293\", alpha=\"0.10\", expect_size=\"40818688\"] \n  3 -> 4 [size =\"40818688\"]\n  4 [size=\"96843093\", alpha=\"0.16\", expect_size=\"29052928\"] \n  4 -> 5 [size =\"29052928\"]\n  5 [size=\"99836587\", alpha=\"0.12\", expect_size=\"29950976\"] \n  5 -> 6 [size =\"29950976\"]\n  6 [size=\"135717547\", alpha=\"0.00\", expect_size=\"40715264\"] \n  6 -> 7 [size =\"40715264\"]\n  7 [size=\"169830400\", alpha=\"0.01\", expect_size=\"50949120\"] \n  7 -> 8 [size =\"50949120\"]\n  8 [size=\"125020160\", alpha=\"0.03\", expect_size=\"37506048\"] \n  8 -> 9 [size =\"37506048\"]\n  9 [size=\"156084907\", alpha=\"0.10\", expect_size=\"46825472\"] \n  9 -> 10 [size =\"46825472\"]\n  10 [size=\"84623360\", alpha=\"0.03\", expect_size=\"25387008\"] \n  10 -> 11 [size =\"25387008\"]\n  11 [size=\"67450880\", alpha=\"0.18\", expect_size=\"20235264\"] \n  11 -> 12 [size =\"20235264\"]\n  12 [size=\"30634667\", alpha=\"0.06\", expect_size=\"9190400\"] \n  12 -> 13 [size =\"9190400\"]\n  13 [size=\"122938027\", alpha=\"0.00\", expect_size=\"36881408\"] \n  13 -> 14 [size =\"36881408\"]\n  14 [size=\"43963733\", alpha=\"0.12\", expect_size=\"13189120\"] \n  14 -> 15 [size =\"13189120\"]\n  15 [size=\"169205760\", alpha=\"0.03\", expect_size=\"50761728\"] \n  15 -> 16 [size =\"50761728\"]\n  16 [size=\"110011733\", alpha=\"0.19\", expect_size=\"33003520\"] \n  16 -> 17 [size =\"33003520\"]\n  17 [size=\"112994987\", alpha=\"0.20\", expect_size=\"33898496\"] \n  17 -> 18 [size =\"33898496\"]\n  18 [size=\"124443307\", alpha=\"0.11\", expect_size=\"37332992\"] \n  18 -> 19 [size =\"37332992\"]\n  19 [size=\"144401067\", alpha=\"0.10\", expect_size=\"43320320\"] \n  19 -> 20 [size =\"43320320\"]\n  20 [size=\"64986453\", alpha=\"0.16\", expect_size=\"19495936\"] \n  20 -> 21 [size =\"19495936\"]\n  21 [size=\"89784320\", alpha=\"0.11\", expect_size=\"26935296\"] \n  21 -> 22 [size =\"26935296\"]\n  22 [size=\"76489387\", alpha=\"0.05\", expect_size=\"22946816\"] \n  22 -> 23 [size =\"22946816\"]\n  23 [size=\"124344320\", alpha=\"0.15\", expect_size=\"37303296\"] \n  23 -> 24 [size =\"37303296\"]\n  24 [size=\"124743680\", alpha=\"0.14\", expect_size=\"37423104\"] \n  24 -> 25 [size =\"37423104\"]\n  25 [size=\"63665493\", alpha=\"0.04\", expect_size=\"19099648\"] \n  25 -> 26 [size =\"19099648\"]\n  26 [size=\"86217387\", alpha=\"0.09\", expect_size=\"25865216\"] \n  26 -> 27 [size =\"25865216\"]\n  27 [size=\"81902933\", alpha=\"0.14\", expect_size=\"24570880\"] \n  27 -> 28 [size =\"24570880\"]\n  28 [size=\"81766400\", alpha=\"0.12\", expect_size=\"24529920\"] \n  28 -> 29 [size =\"24529920\"]\n  29 [size=\"166512640\", alpha=\"0.07\", expect_size=\"49953792\"] \n  29 -> 30 [size =\"49953792\"]\n  30 [size=\"84486827\", alpha=\"0.12\", expect_size=\"25346048\"] \n  30 -> 31 [size =\"25346048\"]\n  31 [size=\"52841813\", alpha=\"0.02\", expect_size=\"15852544\"] \n  31 -> 32 [size =\"15852544\"]\n  32 [size=\"138192213\", alpha=\"0.14\", expect_size=\"41457664\"] \n  32 -> 33 [size =\"41457664\"]\n  33 [size=\"21790720\", alpha=\"0.00\", expect_size=\"6537216\"] \n  33 -> 34 [size =\"6537216\"]\n  34 [size=\"136802987\", alpha=\"0.09\", expect_size=\"41040896\"] \n  34 -> 35 [size =\"41040896\"]\n  35 [size=\"90733227\", alpha=\"0.17\", expect_size=\"27219968\"] \n  35 -> 36 [size =\"27219968\"]\n  36 [size=\"123231573\", alpha=\"0.18\", expect_size=\"36969472\"] \n  36 -> 37 [size =\"36969472\"]\n  37 [size=\"37969920\", alpha=\"0.10\", expect_size=\"11390976\"] \n  37 -> 38 [size =\"11390976\"]\n  38 [size=\"144588800\", alpha=\"0.16\", expect_size=\"43376640\"] \n  38 -> 39 [size =\"43376640\"]\n  39 [size=\"78772907\", alpha=\"0.18\", expect_size=\"23631872\"] \n  39 -> 40 [size =\"23631872\"]\n  40 [size=\"136424107\", alpha=\"0.06\", expect_size=\"40927232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39304533\", alpha=\"0.15\", expect_size=\"11791360\"] \n  1 -> 5 [size =\"11791360\"]\n  2 [size=\"139161600\", alpha=\"0.12\", expect_size=\"41748480\"] \n  3 [size=\"29511680\", alpha=\"0.14\", expect_size=\"8853504\"] \n  3 -> 4 [size =\"8853504\"]\n  3 -> 6 [size =\"8853504\"]\n  4 [size=\"143329280\", alpha=\"0.15\", expect_size=\"42998784\"] \n  4 -> 8 [size =\"42998784\"]\n  4 -> 9 [size =\"42998784\"]\n  5 [size=\"50643627\", alpha=\"0.08\", expect_size=\"15193088\"] \n  5 -> 8 [size =\"15193088\"]\n  5 -> 9 [size =\"15193088\"]\n  6 [size=\"131450880\", alpha=\"0.03\", expect_size=\"39435264\"] \n  6 -> 7 [size =\"39435264\"]\n  7 [size=\"68355413\", alpha=\"0.18\", expect_size=\"20506624\"] \n  8 [size=\"77421227\", alpha=\"0.16\", expect_size=\"23226368\"] \n  8 -> 10 [size =\"23226368\"]\n  8 -> 12 [size =\"23226368\"]\n  9 [size=\"87954773\", alpha=\"0.01\", expect_size=\"26386432\"] \n  9 -> 11 [size =\"26386432\"]\n  10 [size=\"117418667\", alpha=\"0.16\", expect_size=\"35225600\"] \n  11 [size=\"78557867\", alpha=\"0.17\", expect_size=\"23567360\"] \n  11 -> 13 [size =\"23567360\"]\n  11 -> 14 [size =\"23567360\"]\n  12 [size=\"41096533\", alpha=\"0.11\", expect_size=\"12328960\"] \n  12 -> 15 [size =\"12328960\"]\n  13 [size=\"139400533\", alpha=\"0.06\", expect_size=\"41820160\"] \n  13 -> 16 [size =\"41820160\"]\n  14 [size=\"88760320\", alpha=\"0.19\", expect_size=\"26628096\"] \n  14 -> 17 [size =\"26628096\"]\n  15 [size=\"48667307\", alpha=\"0.03\", expect_size=\"14600192\"] \n  16 [size=\"108741973\", alpha=\"0.02\", expect_size=\"32622592\"] \n  16 -> 18 [size =\"32622592\"]\n  17 [size=\"128737280\", alpha=\"0.15\", expect_size=\"38621184\"] \n  17 -> 19 [size =\"38621184\"]\n  17 -> 20 [size =\"38621184\"]\n  18 [size=\"109871787\", alpha=\"0.01\", expect_size=\"32961536\"] \n  18 -> 23 [size =\"32961536\"]\n  19 [size=\"79752533\", alpha=\"0.19\", expect_size=\"23925760\"] \n  19 -> 21 [size =\"23925760\"]\n  19 -> 22 [size =\"23925760\"]\n  20 [size=\"88244907\", alpha=\"0.14\", expect_size=\"26473472\"] \n  20 -> 23 [size =\"26473472\"]\n  21 [size=\"57948160\", alpha=\"0.11\", expect_size=\"17384448\"] \n  22 [size=\"34167467\", alpha=\"0.05\", expect_size=\"10250240\"] \n  22 -> 24 [size =\"10250240\"]\n  22 -> 25 [size =\"10250240\"]\n  23 [size=\"118941013\", alpha=\"0.19\", expect_size=\"35682304\"] \n  24 [size=\"169608533\", alpha=\"0.10\", expect_size=\"50882560\"] \n  24 -> 26 [size =\"50882560\"]\n  24 -> 27 [size =\"50882560\"]\n  25 [size=\"160952320\", alpha=\"0.05\", expect_size=\"48285696\"] \n  25 -> 28 [size =\"48285696\"]\n  26 [size=\"28477440\", alpha=\"0.14\", expect_size=\"8543232\"] \n  26 -> 30 [size =\"8543232\"]\n  27 [size=\"46175573\", alpha=\"0.10\", expect_size=\"13852672\"] \n  27 -> 29 [size =\"13852672\"]\n  28 [size=\"161191253\", alpha=\"0.13\", expect_size=\"48357376\"] \n  29 [size=\"171069440\", alpha=\"0.05\", expect_size=\"51320832\"] \n  29 -> 31 [size =\"51320832\"]\n  29 -> 32 [size =\"51320832\"]\n  30 [size=\"163887787\", alpha=\"0.10\", expect_size=\"49166336\"] \n  31 [size=\"115909973\", alpha=\"0.03\", expect_size=\"34772992\"] \n  31 -> 35 [size =\"34772992\"]\n  32 [size=\"48964267\", alpha=\"0.19\", expect_size=\"14689280\"] \n  32 -> 33 [size =\"14689280\"]\n  32 -> 34 [size =\"14689280\"]\n  33 [size=\"84736000\", alpha=\"0.10\", expect_size=\"25420800\"] \n  33 -> 36 [size =\"25420800\"]\n  33 -> 37 [size =\"25420800\"]\n  33 -> 38 [size =\"25420800\"]\n  34 [size=\"77981013\", alpha=\"0.11\", expect_size=\"23394304\"] \n  35 [size=\"154548907\", alpha=\"0.15\", expect_size=\"46364672\"] \n  35 -> 37 [size =\"46364672\"]\n  36 [size=\"33037653\", alpha=\"0.11\", expect_size=\"9911296\"] \n  36 -> 39 [size =\"9911296\"]\n  36 -> 40 [size =\"9911296\"]\n  37 [size=\"141998080\", alpha=\"0.01\", expect_size=\"42599424\"] \n  38 [size=\"60450133\", alpha=\"0.03\", expect_size=\"18135040\"] \n  38 -> 39 [size =\"18135040\"]\n  38 -> 40 [size =\"18135040\"]\n  39 [size=\"162918400\", alpha=\"0.13\", expect_size=\"48875520\"] \n  40 [size=\"48015360\", alpha=\"0.12\", expect_size=\"14404608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45475840\", alpha=\"0.05\", expect_size=\"13642752\"] \n  1 -> 8 [size =\"13642752\"]\n  1 -> 9 [size =\"13642752\"]\n  1 -> 10 [size =\"13642752\"]\n  2 [size=\"19210240\", alpha=\"0.17\", expect_size=\"5763072\"] \n  2 -> 8 [size =\"5763072\"]\n  3 [size=\"133208747\", alpha=\"0.08\", expect_size=\"39962624\"] \n  3 -> 7 [size =\"39962624\"]\n  3 -> 10 [size =\"39962624\"]\n  3 -> 11 [size =\"39962624\"]\n  4 [size=\"141704533\", alpha=\"0.10\", expect_size=\"42511360\"] \n  4 -> 6 [size =\"42511360\"]\n  5 [size=\"59770880\", alpha=\"0.04\", expect_size=\"17931264\"] \n  5 -> 6 [size =\"17931264\"]\n  5 -> 8 [size =\"17931264\"]\n  5 -> 9 [size =\"17931264\"]\n  5 -> 11 [size =\"17931264\"]\n  6 [size=\"83415040\", alpha=\"0.12\", expect_size=\"25024512\"] \n  6 -> 12 [size =\"25024512\"]\n  6 -> 15 [size =\"25024512\"]\n  7 [size=\"121811627\", alpha=\"0.08\", expect_size=\"36543488\"] \n  7 -> 12 [size =\"36543488\"]\n  7 -> 13 [size =\"36543488\"]\n  7 -> 14 [size =\"36543488\"]\n  8 [size=\"18752853\", alpha=\"0.17\", expect_size=\"5625856\"] \n  8 -> 12 [size =\"5625856\"]\n  8 -> 13 [size =\"5625856\"]\n  8 -> 15 [size =\"5625856\"]\n  9 [size=\"108602027\", alpha=\"0.03\", expect_size=\"32580608\"] \n  10 [size=\"127634773\", alpha=\"0.02\", expect_size=\"38290432\"] \n  10 -> 12 [size =\"38290432\"]\n  10 -> 13 [size =\"38290432\"]\n  11 [size=\"51940693\", alpha=\"0.07\", expect_size=\"15582208\"] \n  12 [size=\"93620907\", alpha=\"0.10\", expect_size=\"28086272\"] \n  12 -> 16 [size =\"28086272\"]\n  12 -> 19 [size =\"28086272\"]\n  13 [size=\"71277227\", alpha=\"0.01\", expect_size=\"21383168\"] \n  13 -> 16 [size =\"21383168\"]\n  13 -> 18 [size =\"21383168\"]\n  14 [size=\"135171413\", alpha=\"0.04\", expect_size=\"40551424\"] \n  14 -> 17 [size =\"40551424\"]\n  14 -> 18 [size =\"40551424\"]\n  15 [size=\"59084800\", alpha=\"0.08\", expect_size=\"17725440\"] \n  15 -> 16 [size =\"17725440\"]\n  16 [size=\"89303040\", alpha=\"0.14\", expect_size=\"26790912\"] \n  16 -> 20 [size =\"26790912\"]\n  16 -> 22 [size =\"26790912\"]\n  17 [size=\"24193707\", alpha=\"0.16\", expect_size=\"7258112\"] \n  17 -> 20 [size =\"7258112\"]\n  17 -> 22 [size =\"7258112\"]\n  18 [size=\"87729493\", alpha=\"0.05\", expect_size=\"26318848\"] \n  18 -> 21 [size =\"26318848\"]\n  18 -> 22 [size =\"26318848\"]\n  19 [size=\"66402987\", alpha=\"0.18\", expect_size=\"19920896\"] \n  19 -> 21 [size =\"19920896\"]\n  20 [size=\"93255680\", alpha=\"0.12\", expect_size=\"27976704\"] \n  20 -> 23 [size =\"27976704\"]\n  20 -> 27 [size =\"27976704\"]\n  20 -> 29 [size =\"27976704\"]\n  21 [size=\"110254080\", alpha=\"0.09\", expect_size=\"33076224\"] \n  21 -> 23 [size =\"33076224\"]\n  21 -> 27 [size =\"33076224\"]\n  21 -> 28 [size =\"33076224\"]\n  22 [size=\"163785387\", alpha=\"0.06\", expect_size=\"49135616\"] \n  22 -> 24 [size =\"49135616\"]\n  22 -> 25 [size =\"49135616\"]\n  22 -> 26 [size =\"49135616\"]\n  22 -> 27 [size =\"49135616\"]\n  22 -> 30 [size =\"49135616\"]\n  23 [size=\"84425387\", alpha=\"0.18\", expect_size=\"25327616\"] \n  23 -> 31 [size =\"25327616\"]\n  23 -> 35 [size =\"25327616\"]\n  23 -> 38 [size =\"25327616\"]\n  24 [size=\"93457067\", alpha=\"0.05\", expect_size=\"28037120\"] \n  24 -> 31 [size =\"28037120\"]\n  24 -> 36 [size =\"28037120\"]\n  25 [size=\"128382293\", alpha=\"0.18\", expect_size=\"38514688\"] \n  25 -> 31 [size =\"38514688\"]\n  25 -> 32 [size =\"38514688\"]\n  25 -> 33 [size =\"38514688\"]\n  26 [size=\"35925333\", alpha=\"0.20\", expect_size=\"10777600\"] \n  26 -> 31 [size =\"10777600\"]\n  26 -> 34 [size =\"10777600\"]\n  26 -> 37 [size =\"10777600\"]\n  26 -> 38 [size =\"10777600\"]\n  27 [size=\"142441813\", alpha=\"0.14\", expect_size=\"42732544\"] \n  27 -> 31 [size =\"42732544\"]\n  27 -> 32 [size =\"42732544\"]\n  27 -> 35 [size =\"42732544\"]\n  27 -> 36 [size =\"42732544\"]\n  27 -> 38 [size =\"42732544\"]\n  28 [size=\"108680533\", alpha=\"0.09\", expect_size=\"32604160\"] \n  28 -> 31 [size =\"32604160\"]\n  28 -> 32 [size =\"32604160\"]\n  28 -> 36 [size =\"32604160\"]\n  28 -> 37 [size =\"32604160\"]\n  28 -> 38 [size =\"32604160\"]\n  29 [size=\"147807573\", alpha=\"0.16\", expect_size=\"44342272\"] \n  29 -> 36 [size =\"44342272\"]\n  30 [size=\"134700373\", alpha=\"0.16\", expect_size=\"40410112\"] \n  30 -> 33 [size =\"40410112\"]\n  31 [size=\"69277013\", alpha=\"0.01\", expect_size=\"20783104\"] \n  31 -> 39 [size =\"20783104\"]\n  32 [size=\"136820053\", alpha=\"0.15\", expect_size=\"41046016\"] \n  32 -> 39 [size =\"41046016\"]\n  33 [size=\"24494080\", alpha=\"0.17\", expect_size=\"7348224\"] \n  33 -> 40 [size =\"7348224\"]\n  34 [size=\"162611200\", alpha=\"0.13\", expect_size=\"48783360\"] \n  35 [size=\"46254080\", alpha=\"0.15\", expect_size=\"13876224\"] \n  36 [size=\"32290133\", alpha=\"0.05\", expect_size=\"9687040\"] \n  36 -> 39 [size =\"9687040\"]\n  37 [size=\"29375147\", alpha=\"0.17\", expect_size=\"8812544\"] \n  38 [size=\"141847893\", alpha=\"0.17\", expect_size=\"42554368\"] \n  39 [size=\"56412160\", alpha=\"0.04\", expect_size=\"16923648\"] \n  40 [size=\"21480107\", alpha=\"0.00\", expect_size=\"6444032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49039360\", alpha=\"0.20\", expect_size=\"19615744\"] \n  1 -> 33 [size =\"19615744\"]\n  1 -> 36 [size =\"19615744\"]\n  1 -> 37 [size =\"19615744\"]\n  1 -> 38 [size =\"19615744\"]\n  1 -> 39 [size =\"19615744\"]\n  2 [size=\"64437760\", alpha=\"0.12\", expect_size=\"25775104\"] \n  2 -> 32 [size =\"25775104\"]\n  2 -> 33 [size =\"25775104\"]\n  2 -> 38 [size =\"25775104\"]\n  3 [size=\"105361920\", alpha=\"0.06\", expect_size=\"42144768\"] \n  3 -> 32 [size =\"42144768\"]\n  3 -> 33 [size =\"42144768\"]\n  3 -> 38 [size =\"42144768\"]\n  3 -> 39 [size =\"42144768\"]\n  4 [size=\"110632960\", alpha=\"0.09\", expect_size=\"44253184\"] \n  4 -> 32 [size =\"44253184\"]\n  4 -> 35 [size =\"44253184\"]\n  4 -> 37 [size =\"44253184\"]\n  5 [size=\"37831680\", alpha=\"0.05\", expect_size=\"15132672\"] \n  5 -> 32 [size =\"15132672\"]\n  5 -> 35 [size =\"15132672\"]\n  5 -> 37 [size =\"15132672\"]\n  6 [size=\"108344320\", alpha=\"0.07\", expect_size=\"43337728\"] \n  6 -> 32 [size =\"43337728\"]\n  6 -> 37 [size =\"43337728\"]\n  6 -> 37 [size =\"43337728\"]\n  6 -> 38 [size =\"43337728\"]\n  7 [size=\"119354880\", alpha=\"0.02\", expect_size=\"47741952\"] \n  7 -> 32 [size =\"47741952\"]\n  7 -> 33 [size =\"47741952\"]\n  7 -> 35 [size =\"47741952\"]\n  7 -> 37 [size =\"47741952\"]\n  8 [size=\"30351360\", alpha=\"0.00\", expect_size=\"12140544\"] \n  8 -> 32 [size =\"12140544\"]\n  8 -> 35 [size =\"12140544\"]\n  9 [size=\"79728640\", alpha=\"0.01\", expect_size=\"31891456\"] \n  9 -> 34 [size =\"31891456\"]\n  9 -> 35 [size =\"31891456\"]\n  9 -> 37 [size =\"31891456\"]\n  9 -> 40 [size =\"31891456\"]\n  10 [size=\"85565440\", alpha=\"0.15\", expect_size=\"34226176\"] \n  10 -> 33 [size =\"34226176\"]\n  10 -> 35 [size =\"34226176\"]\n  10 -> 37 [size =\"34226176\"]\n  10 -> 39 [size =\"34226176\"]\n  11 [size=\"13980160\", alpha=\"0.13\", expect_size=\"5592064\"] \n  11 -> 32 [size =\"5592064\"]\n  11 -> 35 [size =\"5592064\"]\n  11 -> 37 [size =\"5592064\"]\n  11 -> 38 [size =\"5592064\"]\n  11 -> 39 [size =\"5592064\"]\n  12 [size=\"130045440\", alpha=\"0.17\", expect_size=\"52018176\"] \n  12 -> 38 [size =\"52018176\"]\n  12 -> 39 [size =\"52018176\"]\n  13 [size=\"83153920\", alpha=\"0.04\", expect_size=\"33261568\"] \n  13 -> 35 [size =\"33261568\"]\n  13 -> 38 [size =\"33261568\"]\n  14 [size=\"115729920\", alpha=\"0.13\", expect_size=\"46291968\"] \n  14 -> 32 [size =\"46291968\"]\n  14 -> 33 [size =\"46291968\"]\n  14 -> 35 [size =\"46291968\"]\n  15 [size=\"51084800\", alpha=\"0.13\", expect_size=\"20433920\"] \n  15 -> 33 [size =\"20433920\"]\n  15 -> 33 [size =\"20433920\"]\n  15 -> 35 [size =\"20433920\"]\n  16 [size=\"81497600\", alpha=\"0.13\", expect_size=\"32599040\"] \n  16 -> 33 [size =\"32599040\"]\n  16 -> 37 [size =\"32599040\"]\n  17 [size=\"119920640\", alpha=\"0.19\", expect_size=\"47968256\"] \n  17 -> 32 [size =\"47968256\"]\n  17 -> 37 [size =\"47968256\"]\n  18 [size=\"129405440\", alpha=\"0.13\", expect_size=\"51762176\"] \n  18 -> 35 [size =\"51762176\"]\n  19 [size=\"14210560\", alpha=\"0.02\", expect_size=\"5684224\"] \n  19 -> 35 [size =\"5684224\"]\n  20 [size=\"21665280\", alpha=\"0.06\", expect_size=\"8666112\"] \n  20 -> 32 [size =\"8666112\"]\n  20 -> 35 [size =\"8666112\"]\n  21 [size=\"108344320\", alpha=\"0.15\", expect_size=\"43337728\"] \n  21 -> 32 [size =\"43337728\"]\n  21 -> 33 [size =\"43337728\"]\n  21 -> 35 [size =\"43337728\"]\n  22 [size=\"69954560\", alpha=\"0.13\", expect_size=\"27981824\"] \n  22 -> 32 [size =\"27981824\"]\n  22 -> 35 [size =\"27981824\"]\n  23 [size=\"49420800\", alpha=\"0.07\", expect_size=\"19768320\"] \n  23 -> 33 [size =\"19768320\"]\n  23 -> 36 [size =\"19768320\"]\n  24 [size=\"75128320\", alpha=\"0.17\", expect_size=\"30051328\"] \n  24 -> 32 [size =\"30051328\"]\n  25 [size=\"35520000\", alpha=\"0.12\", expect_size=\"14208000\"] \n  26 [size=\"110074880\", alpha=\"0.02\", expect_size=\"44029952\"] \n  26 -> 33 [size =\"44029952\"]\n  26 -> 38 [size =\"44029952\"]\n  27 [size=\"70819840\", alpha=\"0.11\", expect_size=\"28327936\"] \n  27 -> 32 [size =\"28327936\"]\n  27 -> 36 [size =\"28327936\"]\n  28 [size=\"64591360\", alpha=\"0.03\", expect_size=\"25836544\"] \n  28 -> 33 [size =\"25836544\"]\n  28 -> 35 [size =\"25836544\"]\n  28 -> 37 [size =\"25836544\"]\n  28 -> 39 [size =\"25836544\"]\n  29 [size=\"23262720\", alpha=\"0.05\", expect_size=\"9305088\"] \n  29 -> 33 [size =\"9305088\"]\n  29 -> 37 [size =\"9305088\"]\n  29 -> 38 [size =\"9305088\"]\n  30 [size=\"37798400\", alpha=\"0.01\", expect_size=\"15119360\"] \n  30 -> 37 [size =\"15119360\"]\n  30 -> 39 [size =\"15119360\"]\n  31 [size=\"71854080\", alpha=\"0.16\", expect_size=\"28741632\"] \n  31 -> 37 [size =\"28741632\"]\n  31 -> 39 [size =\"28741632\"]\n  32 [size=\"43404800\", alpha=\"0.11\", expect_size=\"17361920\"] \n  33 [size=\"121743360\", alpha=\"0.18\", expect_size=\"48697344\"] \n  34 [size=\"45232640\", alpha=\"0.02\", expect_size=\"18093056\"] \n  35 [size=\"29363200\", alpha=\"0.13\", expect_size=\"11745280\"] \n  36 [size=\"98862080\", alpha=\"0.16\", expect_size=\"39544832\"] \n  37 [size=\"113034240\", alpha=\"0.16\", expect_size=\"45213696\"] \n  38 [size=\"60167680\", alpha=\"0.16\", expect_size=\"24067072\"] \n  39 [size=\"75468800\", alpha=\"0.17\", expect_size=\"30187520\"] \n  40 [size=\"107596800\", alpha=\"0.19\", expect_size=\"43038720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76560384\", alpha=\"0.01\", expect_size=\"38280192\"] \n  2 [size=\"86386688\", alpha=\"0.15\", expect_size=\"43193344\"] \n  2 -> 8 [size =\"43193344\"]\n  2 -> 9 [size =\"43193344\"]\n  2 -> 10 [size =\"43193344\"]\n  3 [size=\"63956992\", alpha=\"0.08\", expect_size=\"31978496\"] \n  3 -> 9 [size =\"31978496\"]\n  3 -> 10 [size =\"31978496\"]\n  4 [size=\"23175168\", alpha=\"0.19\", expect_size=\"11587584\"] \n  4 -> 9 [size =\"11587584\"]\n  4 -> 10 [size =\"11587584\"]\n  4 -> 12 [size =\"11587584\"]\n  5 [size=\"73314304\", alpha=\"0.18\", expect_size=\"36657152\"] \n  5 -> 8 [size =\"36657152\"]\n  5 -> 9 [size =\"36657152\"]\n  5 -> 11 [size =\"36657152\"]\n  6 [size=\"58241024\", alpha=\"0.14\", expect_size=\"29120512\"] \n  6 -> 8 [size =\"29120512\"]\n  7 [size=\"58290176\", alpha=\"0.18\", expect_size=\"29145088\"] \n  7 -> 11 [size =\"29145088\"]\n  8 [size=\"36741120\", alpha=\"0.09\", expect_size=\"18370560\"] \n  8 -> 13 [size =\"18370560\"]\n  8 -> 17 [size =\"18370560\"]\n  9 [size=\"26834944\", alpha=\"0.17\", expect_size=\"13417472\"] \n  9 -> 15 [size =\"13417472\"]\n  10 [size=\"82345984\", alpha=\"0.05\", expect_size=\"41172992\"] \n  10 -> 13 [size =\"41172992\"]\n  10 -> 15 [size =\"41172992\"]\n  10 -> 16 [size =\"41172992\"]\n  10 -> 17 [size =\"41172992\"]\n  11 [size=\"71344128\", alpha=\"0.13\", expect_size=\"35672064\"] \n  11 -> 14 [size =\"35672064\"]\n  11 -> 16 [size =\"35672064\"]\n  12 [size=\"78286848\", alpha=\"0.06\", expect_size=\"39143424\"] \n  12 -> 16 [size =\"39143424\"]\n  13 [size=\"55998464\", alpha=\"0.00\", expect_size=\"27999232\"] \n  14 [size=\"94228480\", alpha=\"0.18\", expect_size=\"47114240\"] \n  14 -> 18 [size =\"47114240\"]\n  14 -> 20 [size =\"47114240\"]\n  14 -> 21 [size =\"47114240\"]\n  14 -> 23 [size =\"47114240\"]\n  15 [size=\"88901632\", alpha=\"0.09\", expect_size=\"44450816\"] \n  15 -> 18 [size =\"44450816\"]\n  15 -> 21 [size =\"44450816\"]\n  15 -> 21 [size =\"44450816\"]\n  16 [size=\"80869376\", alpha=\"0.17\", expect_size=\"40434688\"] \n  16 -> 22 [size =\"40434688\"]\n  17 [size=\"51935232\", alpha=\"0.07\", expect_size=\"25967616\"] \n  17 -> 18 [size =\"25967616\"]\n  17 -> 19 [size =\"25967616\"]\n  17 -> 22 [size =\"25967616\"]\n  18 [size=\"42741760\", alpha=\"0.13\", expect_size=\"21370880\"] \n  18 -> 30 [size =\"21370880\"]\n  19 [size=\"84535296\", alpha=\"0.03\", expect_size=\"42267648\"] \n  19 -> 27 [size =\"42267648\"]\n  19 -> 29 [size =\"42267648\"]\n  20 [size=\"71440384\", alpha=\"0.10\", expect_size=\"35720192\"] \n  20 -> 26 [size =\"35720192\"]\n  20 -> 27 [size =\"35720192\"]\n  20 -> 28 [size =\"35720192\"]\n  21 [size=\"94836736\", alpha=\"0.11\", expect_size=\"47418368\"] \n  21 -> 24 [size =\"47418368\"]\n  21 -> 27 [size =\"47418368\"]\n  21 -> 28 [size =\"47418368\"]\n  22 [size=\"62038016\", alpha=\"0.08\", expect_size=\"31019008\"] \n  22 -> 25 [size =\"31019008\"]\n  22 -> 29 [size =\"31019008\"]\n  23 [size=\"91897856\", alpha=\"0.17\", expect_size=\"45948928\"] \n  23 -> 26 [size =\"45948928\"]\n  24 [size=\"94234624\", alpha=\"0.08\", expect_size=\"47117312\"] \n  24 -> 34 [size =\"47117312\"]\n  25 [size=\"82784256\", alpha=\"0.13\", expect_size=\"41392128\"] \n  25 -> 32 [size =\"41392128\"]\n  25 -> 34 [size =\"41392128\"]\n  26 [size=\"30404608\", alpha=\"0.08\", expect_size=\"15202304\"] \n  26 -> 34 [size =\"15202304\"]\n  27 [size=\"16971776\", alpha=\"0.12\", expect_size=\"8485888\"] \n  28 [size=\"51898368\", alpha=\"0.03\", expect_size=\"25949184\"] \n  28 -> 35 [size =\"25949184\"]\n  29 [size=\"18374656\", alpha=\"0.17\", expect_size=\"9187328\"] \n  29 -> 33 [size =\"9187328\"]\n  30 [size=\"31975424\", alpha=\"0.06\", expect_size=\"15987712\"] \n  30 -> 31 [size =\"15987712\"]\n  30 -> 32 [size =\"15987712\"]\n  30 -> 33 [size =\"15987712\"]\n  30 -> 34 [size =\"15987712\"]\n  31 [size=\"79333376\", alpha=\"0.08\", expect_size=\"39666688\"] \n  31 -> 36 [size =\"39666688\"]\n  31 -> 37 [size =\"39666688\"]\n  31 -> 40 [size =\"39666688\"]\n  32 [size=\"37783552\", alpha=\"0.04\", expect_size=\"18891776\"] \n  32 -> 36 [size =\"18891776\"]\n  32 -> 37 [size =\"18891776\"]\n  32 -> 39 [size =\"18891776\"]\n  33 [size=\"77598720\", alpha=\"0.10\", expect_size=\"38799360\"] \n  33 -> 38 [size =\"38799360\"]\n  34 [size=\"63506432\", alpha=\"0.14\", expect_size=\"31753216\"] \n  35 [size=\"102569984\", alpha=\"0.14\", expect_size=\"51284992\"] \n  35 -> 37 [size =\"51284992\"]\n  36 [size=\"68876288\", alpha=\"0.10\", expect_size=\"34438144\"] \n  37 [size=\"104550400\", alpha=\"0.14\", expect_size=\"52275200\"] \n  38 [size=\"68659200\", alpha=\"0.04\", expect_size=\"34329600\"] \n  39 [size=\"81825792\", alpha=\"0.11\", expect_size=\"40912896\"] \n  40 [size=\"66031616\", alpha=\"0.11\", expect_size=\"33015808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61709653\", alpha=\"0.15\", expect_size=\"18512896\"] \n  1 -> 8 [size =\"18512896\"]\n  2 [size=\"145285120\", alpha=\"0.01\", expect_size=\"43585536\"] \n  2 -> 7 [size =\"43585536\"]\n  2 -> 8 [size =\"43585536\"]\n  2 -> 11 [size =\"43585536\"]\n  3 [size=\"120903680\", alpha=\"0.06\", expect_size=\"36271104\"] \n  3 -> 8 [size =\"36271104\"]\n  3 -> 9 [size =\"36271104\"]\n  3 -> 10 [size =\"36271104\"]\n  3 -> 12 [size =\"36271104\"]\n  4 [size=\"172052480\", alpha=\"0.16\", expect_size=\"51615744\"] \n  4 -> 8 [size =\"51615744\"]\n  4 -> 9 [size =\"51615744\"]\n  4 -> 12 [size =\"51615744\"]\n  5 [size=\"91675307\", alpha=\"0.10\", expect_size=\"27502592\"] \n  5 -> 7 [size =\"27502592\"]\n  5 -> 9 [size =\"27502592\"]\n  5 -> 11 [size =\"27502592\"]\n  5 -> 12 [size =\"27502592\"]\n  6 [size=\"157559467\", alpha=\"0.13\", expect_size=\"47267840\"] \n  6 -> 9 [size =\"47267840\"]\n  6 -> 10 [size =\"47267840\"]\n  7 [size=\"86702080\", alpha=\"0.05\", expect_size=\"26010624\"] \n  8 [size=\"164276907\", alpha=\"0.03\", expect_size=\"49283072\"] \n  8 -> 14 [size =\"49283072\"]\n  9 [size=\"102290773\", alpha=\"0.03\", expect_size=\"30687232\"] \n  9 -> 13 [size =\"30687232\"]\n  9 -> 14 [size =\"30687232\"]\n  9 -> 15 [size =\"30687232\"]\n  10 [size=\"58449920\", alpha=\"0.19\", expect_size=\"17534976\"] \n  10 -> 13 [size =\"17534976\"]\n  10 -> 15 [size =\"17534976\"]\n  11 [size=\"152326827\", alpha=\"0.20\", expect_size=\"45698048\"] \n  11 -> 13 [size =\"45698048\"]\n  11 -> 15 [size =\"45698048\"]\n  12 [size=\"110254080\", alpha=\"0.09\", expect_size=\"33076224\"] \n  12 -> 15 [size =\"33076224\"]\n  13 [size=\"118732800\", alpha=\"0.13\", expect_size=\"35619840\"] \n  13 -> 16 [size =\"35619840\"]\n  13 -> 18 [size =\"35619840\"]\n  13 -> 19 [size =\"35619840\"]\n  13 -> 20 [size =\"35619840\"]\n  13 -> 22 [size =\"35619840\"]\n  14 [size=\"167369387\", alpha=\"0.20\", expect_size=\"50210816\"] \n  14 -> 17 [size =\"50210816\"]\n  14 -> 18 [size =\"50210816\"]\n  14 -> 21 [size =\"50210816\"]\n  15 [size=\"137772373\", alpha=\"0.04\", expect_size=\"41331712\"] \n  15 -> 19 [size =\"41331712\"]\n  15 -> 22 [size =\"41331712\"]\n  16 [size=\"59364693\", alpha=\"0.16\", expect_size=\"17809408\"] \n  16 -> 24 [size =\"17809408\"]\n  16 -> 26 [size =\"17809408\"]\n  16 -> 28 [size =\"17809408\"]\n  17 [size=\"157873493\", alpha=\"0.14\", expect_size=\"47362048\"] \n  17 -> 23 [size =\"47362048\"]\n  17 -> 26 [size =\"47362048\"]\n  17 -> 29 [size =\"47362048\"]\n  18 [size=\"41792853\", alpha=\"0.12\", expect_size=\"12537856\"] \n  18 -> 26 [size =\"12537856\"]\n  18 -> 27 [size =\"12537856\"]\n  19 [size=\"63320747\", alpha=\"0.20\", expect_size=\"18996224\"] \n  19 -> 27 [size =\"18996224\"]\n  19 -> 29 [size =\"18996224\"]\n  20 [size=\"87360853\", alpha=\"0.02\", expect_size=\"26208256\"] \n  20 -> 23 [size =\"26208256\"]\n  20 -> 24 [size =\"26208256\"]\n  20 -> 28 [size =\"26208256\"]\n  20 -> 29 [size =\"26208256\"]\n  21 [size=\"82947413\", alpha=\"0.11\", expect_size=\"24884224\"] \n  21 -> 23 [size =\"24884224\"]\n  21 -> 24 [size =\"24884224\"]\n  21 -> 26 [size =\"24884224\"]\n  21 -> 28 [size =\"24884224\"]\n  21 -> 29 [size =\"24884224\"]\n  22 [size=\"79261013\", alpha=\"0.15\", expect_size=\"23778304\"] \n  22 -> 23 [size =\"23778304\"]\n  22 -> 24 [size =\"23778304\"]\n  22 -> 25 [size =\"23778304\"]\n  22 -> 26 [size =\"23778304\"]\n  22 -> 29 [size =\"23778304\"]\n  23 [size=\"150248107\", alpha=\"0.13\", expect_size=\"45074432\"] \n  23 -> 30 [size =\"45074432\"]\n  23 -> 31 [size =\"45074432\"]\n  23 -> 35 [size =\"45074432\"]\n  24 [size=\"91658240\", alpha=\"0.10\", expect_size=\"27497472\"] \n  24 -> 33 [size =\"27497472\"]\n  24 -> 34 [size =\"27497472\"]\n  24 -> 35 [size =\"27497472\"]\n  25 [size=\"90361173\", alpha=\"0.17\", expect_size=\"27108352\"] \n  25 -> 30 [size =\"27108352\"]\n  25 -> 33 [size =\"27108352\"]\n  26 [size=\"118869333\", alpha=\"0.01\", expect_size=\"35660800\"] \n  26 -> 32 [size =\"35660800\"]\n  26 -> 34 [size =\"35660800\"]\n  26 -> 36 [size =\"35660800\"]\n  27 [size=\"89098240\", alpha=\"0.15\", expect_size=\"26729472\"] \n  27 -> 30 [size =\"26729472\"]\n  27 -> 33 [size =\"26729472\"]\n  28 [size=\"43898880\", alpha=\"0.07\", expect_size=\"13169664\"] \n  28 -> 30 [size =\"13169664\"]\n  28 -> 33 [size =\"13169664\"]\n  29 [size=\"135034880\", alpha=\"0.09\", expect_size=\"40510464\"] \n  29 -> 30 [size =\"40510464\"]\n  29 -> 31 [size =\"40510464\"]\n  30 [size=\"133563733\", alpha=\"0.17\", expect_size=\"40069120\"] \n  30 -> 37 [size =\"40069120\"]\n  30 -> 39 [size =\"40069120\"]\n  31 [size=\"152545280\", alpha=\"0.03\", expect_size=\"45763584\"] \n  31 -> 37 [size =\"45763584\"]\n  32 [size=\"78929920\", alpha=\"0.19\", expect_size=\"23678976\"] \n  32 -> 38 [size =\"23678976\"]\n  32 -> 39 [size =\"23678976\"]\n  33 [size=\"40519680\", alpha=\"0.09\", expect_size=\"12155904\"] \n  33 -> 37 [size =\"12155904\"]\n  33 -> 38 [size =\"12155904\"]\n  33 -> 39 [size =\"12155904\"]\n  33 -> 40 [size =\"12155904\"]\n  34 [size=\"140752213\", alpha=\"0.18\", expect_size=\"42225664\"] \n  34 -> 39 [size =\"42225664\"]\n  35 [size=\"62337707\", alpha=\"0.02\", expect_size=\"18701312\"] \n  36 [size=\"36765013\", alpha=\"0.12\", expect_size=\"11029504\"] \n  36 -> 37 [size =\"11029504\"]\n  36 -> 39 [size =\"11029504\"]\n  36 -> 40 [size =\"11029504\"]\n  37 [size=\"46834347\", alpha=\"0.19\", expect_size=\"14050304\"] \n  38 [size=\"161771520\", alpha=\"0.10\", expect_size=\"48531456\"] \n  39 [size=\"56517973\", alpha=\"0.06\", expect_size=\"16955392\"] \n  40 [size=\"130461013\", alpha=\"0.11\", expect_size=\"39138304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14331904\", alpha=\"0.04\", expect_size=\"7165952\"] \n  1 -> 2 [size =\"7165952\"]\n  2 [size=\"48269312\", alpha=\"0.07\", expect_size=\"24134656\"] \n  2 -> 3 [size =\"24134656\"]\n  3 [size=\"22982656\", alpha=\"0.15\", expect_size=\"11491328\"] \n  3 -> 4 [size =\"11491328\"]\n  4 [size=\"42086400\", alpha=\"0.11\", expect_size=\"21043200\"] \n  4 -> 5 [size =\"21043200\"]\n  5 [size=\"52920320\", alpha=\"0.09\", expect_size=\"26460160\"] \n  5 -> 6 [size =\"26460160\"]\n  6 [size=\"14329856\", alpha=\"0.15\", expect_size=\"7164928\"] \n  6 -> 7 [size =\"7164928\"]\n  7 [size=\"76556288\", alpha=\"0.15\", expect_size=\"38278144\"] \n  7 -> 8 [size =\"38278144\"]\n  8 [size=\"17688576\", alpha=\"0.13\", expect_size=\"8844288\"] \n  8 -> 9 [size =\"8844288\"]\n  9 [size=\"17543168\", alpha=\"0.12\", expect_size=\"8771584\"] \n  9 -> 10 [size =\"8771584\"]\n  10 [size=\"42113024\", alpha=\"0.19\", expect_size=\"21056512\"] \n  10 -> 11 [size =\"21056512\"]\n  11 [size=\"77719552\", alpha=\"0.02\", expect_size=\"38859776\"] \n  11 -> 12 [size =\"38859776\"]\n  12 [size=\"94464000\", alpha=\"0.11\", expect_size=\"47232000\"] \n  12 -> 13 [size =\"47232000\"]\n  13 [size=\"32063488\", alpha=\"0.06\", expect_size=\"16031744\"] \n  13 -> 14 [size =\"16031744\"]\n  14 [size=\"101320704\", alpha=\"0.18\", expect_size=\"50660352\"] \n  14 -> 15 [size =\"50660352\"]\n  15 [size=\"60833792\", alpha=\"0.06\", expect_size=\"30416896\"] \n  15 -> 16 [size =\"30416896\"]\n  16 [size=\"102942720\", alpha=\"0.12\", expect_size=\"51471360\"] \n  16 -> 17 [size =\"51471360\"]\n  17 [size=\"81426432\", alpha=\"0.20\", expect_size=\"40713216\"] \n  17 -> 18 [size =\"40713216\"]\n  18 [size=\"59897856\", alpha=\"0.17\", expect_size=\"29948928\"] \n  18 -> 19 [size =\"29948928\"]\n  19 [size=\"26267648\", alpha=\"0.01\", expect_size=\"13133824\"] \n  19 -> 20 [size =\"13133824\"]\n  20 [size=\"83261440\", alpha=\"0.07\", expect_size=\"41630720\"] \n  20 -> 21 [size =\"41630720\"]\n  21 [size=\"77371392\", alpha=\"0.15\", expect_size=\"38685696\"] \n  21 -> 22 [size =\"38685696\"]\n  22 [size=\"87310336\", alpha=\"0.10\", expect_size=\"43655168\"] \n  22 -> 23 [size =\"43655168\"]\n  23 [size=\"43651072\", alpha=\"0.08\", expect_size=\"21825536\"] \n  23 -> 24 [size =\"21825536\"]\n  24 [size=\"73795584\", alpha=\"0.12\", expect_size=\"36897792\"] \n  24 -> 25 [size =\"36897792\"]\n  25 [size=\"64524288\", alpha=\"0.06\", expect_size=\"32262144\"] \n  25 -> 26 [size =\"32262144\"]\n  26 [size=\"91549696\", alpha=\"0.00\", expect_size=\"45774848\"] \n  26 -> 27 [size =\"45774848\"]\n  27 [size=\"51628032\", alpha=\"0.09\", expect_size=\"25814016\"] \n  27 -> 28 [size =\"25814016\"]\n  28 [size=\"51138560\", alpha=\"0.19\", expect_size=\"25569280\"] \n  28 -> 29 [size =\"25569280\"]\n  29 [size=\"38324224\", alpha=\"0.10\", expect_size=\"19162112\"] \n  29 -> 30 [size =\"19162112\"]\n  30 [size=\"42911744\", alpha=\"0.08\", expect_size=\"21455872\"] \n  30 -> 31 [size =\"21455872\"]\n  31 [size=\"77760512\", alpha=\"0.00\", expect_size=\"38880256\"] \n  31 -> 32 [size =\"38880256\"]\n  32 [size=\"52344832\", alpha=\"0.11\", expect_size=\"26172416\"] \n  32 -> 33 [size =\"26172416\"]\n  33 [size=\"98820096\", alpha=\"0.05\", expect_size=\"49410048\"] \n  33 -> 34 [size =\"49410048\"]\n  34 [size=\"40941568\", alpha=\"0.19\", expect_size=\"20470784\"] \n  34 -> 35 [size =\"20470784\"]\n  35 [size=\"99053568\", alpha=\"0.04\", expect_size=\"49526784\"] \n  35 -> 36 [size =\"49526784\"]\n  36 [size=\"32477184\", alpha=\"0.08\", expect_size=\"16238592\"] \n  36 -> 37 [size =\"16238592\"]\n  37 [size=\"33798144\", alpha=\"0.08\", expect_size=\"16899072\"] \n  37 -> 38 [size =\"16899072\"]\n  38 [size=\"74717184\", alpha=\"0.17\", expect_size=\"37358592\"] \n  38 -> 39 [size =\"37358592\"]\n  39 [size=\"68069376\", alpha=\"0.10\", expect_size=\"34034688\"] \n  39 -> 40 [size =\"34034688\"]\n  40 [size=\"20908032\", alpha=\"0.19\", expect_size=\"10454016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79091712\", alpha=\"0.09\", expect_size=\"39545856\"] \n  1 -> 34 [size =\"39545856\"]\n  1 -> 37 [size =\"39545856\"]\n  1 -> 38 [size =\"39545856\"]\n  1 -> 40 [size =\"39545856\"]\n  2 [size=\"29646848\", alpha=\"0.19\", expect_size=\"14823424\"] \n  2 -> 37 [size =\"14823424\"]\n  2 -> 39 [size =\"14823424\"]\n  2 -> 40 [size =\"14823424\"]\n  3 [size=\"31944704\", alpha=\"0.07\", expect_size=\"15972352\"] \n  3 -> 26 [size =\"15972352\"]\n  3 -> 28 [size =\"15972352\"]\n  3 -> 30 [size =\"15972352\"]\n  3 -> 31 [size =\"15972352\"]\n  3 -> 33 [size =\"15972352\"]\n  3 -> 38 [size =\"15972352\"]\n  3 -> 40 [size =\"15972352\"]\n  4 [size=\"22130688\", alpha=\"0.07\", expect_size=\"11065344\"] \n  4 -> 27 [size =\"11065344\"]\n  4 -> 28 [size =\"11065344\"]\n  4 -> 29 [size =\"11065344\"]\n  4 -> 33 [size =\"11065344\"]\n  4 -> 34 [size =\"11065344\"]\n  4 -> 36 [size =\"11065344\"]\n  4 -> 39 [size =\"11065344\"]\n  4 -> 40 [size =\"11065344\"]\n  5 [size=\"24066048\", alpha=\"0.14\", expect_size=\"12033024\"] \n  5 -> 26 [size =\"12033024\"]\n  5 -> 28 [size =\"12033024\"]\n  5 -> 29 [size =\"12033024\"]\n  5 -> 32 [size =\"12033024\"]\n  5 -> 33 [size =\"12033024\"]\n  5 -> 34 [size =\"12033024\"]\n  5 -> 36 [size =\"12033024\"]\n  5 -> 37 [size =\"12033024\"]\n  5 -> 39 [size =\"12033024\"]\n  5 -> 40 [size =\"12033024\"]\n  6 [size=\"97572864\", alpha=\"0.12\", expect_size=\"48786432\"] \n  6 -> 27 [size =\"48786432\"]\n  6 -> 32 [size =\"48786432\"]\n  6 -> 33 [size =\"48786432\"]\n  6 -> 34 [size =\"48786432\"]\n  6 -> 36 [size =\"48786432\"]\n  6 -> 37 [size =\"48786432\"]\n  6 -> 40 [size =\"48786432\"]\n  7 [size=\"103028736\", alpha=\"0.14\", expect_size=\"51514368\"] \n  7 -> 26 [size =\"51514368\"]\n  7 -> 30 [size =\"51514368\"]\n  7 -> 34 [size =\"51514368\"]\n  7 -> 34 [size =\"51514368\"]\n  7 -> 36 [size =\"51514368\"]\n  7 -> 40 [size =\"51514368\"]\n  8 [size=\"21405696\", alpha=\"0.17\", expect_size=\"10702848\"] \n  8 -> 34 [size =\"10702848\"]\n  8 -> 39 [size =\"10702848\"]\n  8 -> 40 [size =\"10702848\"]\n  9 [size=\"80574464\", alpha=\"0.16\", expect_size=\"40287232\"] \n  9 -> 25 [size =\"40287232\"]\n  9 -> 26 [size =\"40287232\"]\n  9 -> 27 [size =\"40287232\"]\n  9 -> 30 [size =\"40287232\"]\n  9 -> 31 [size =\"40287232\"]\n  9 -> 33 [size =\"40287232\"]\n  9 -> 37 [size =\"40287232\"]\n  9 -> 40 [size =\"40287232\"]\n  10 [size=\"22157312\", alpha=\"0.17\", expect_size=\"11078656\"] \n  10 -> 25 [size =\"11078656\"]\n  10 -> 26 [size =\"11078656\"]\n  10 -> 28 [size =\"11078656\"]\n  10 -> 29 [size =\"11078656\"]\n  10 -> 30 [size =\"11078656\"]\n  10 -> 37 [size =\"11078656\"]\n  10 -> 37 [size =\"11078656\"]\n  11 [size=\"87863296\", alpha=\"0.07\", expect_size=\"43931648\"] \n  11 -> 26 [size =\"43931648\"]\n  11 -> 26 [size =\"43931648\"]\n  11 -> 29 [size =\"43931648\"]\n  11 -> 33 [size =\"43931648\"]\n  11 -> 37 [size =\"43931648\"]\n  11 -> 38 [size =\"43931648\"]\n  12 [size=\"36354048\", alpha=\"0.07\", expect_size=\"18177024\"] \n  12 -> 25 [size =\"18177024\"]\n  12 -> 26 [size =\"18177024\"]\n  12 -> 28 [size =\"18177024\"]\n  12 -> 29 [size =\"18177024\"]\n  12 -> 34 [size =\"18177024\"]\n  12 -> 37 [size =\"18177024\"]\n  13 [size=\"32595968\", alpha=\"0.19\", expect_size=\"16297984\"] \n  13 -> 25 [size =\"16297984\"]\n  13 -> 26 [size =\"16297984\"]\n  13 -> 28 [size =\"16297984\"]\n  13 -> 29 [size =\"16297984\"]\n  13 -> 34 [size =\"16297984\"]\n  13 -> 39 [size =\"16297984\"]\n  13 -> 40 [size =\"16297984\"]\n  14 [size=\"65513472\", alpha=\"0.12\", expect_size=\"32756736\"] \n  14 -> 26 [size =\"32756736\"]\n  14 -> 26 [size =\"32756736\"]\n  14 -> 27 [size =\"32756736\"]\n  14 -> 28 [size =\"32756736\"]\n  14 -> 32 [size =\"32756736\"]\n  14 -> 33 [size =\"32756736\"]\n  14 -> 37 [size =\"32756736\"]\n  14 -> 38 [size =\"32756736\"]\n  14 -> 39 [size =\"32756736\"]\n  14 -> 40 [size =\"32756736\"]\n  15 [size=\"99715072\", alpha=\"0.15\", expect_size=\"49857536\"] \n  15 -> 29 [size =\"49857536\"]\n  15 -> 33 [size =\"49857536\"]\n  15 -> 37 [size =\"49857536\"]\n  15 -> 39 [size =\"49857536\"]\n  15 -> 40 [size =\"49857536\"]\n  16 [size=\"71989248\", alpha=\"0.06\", expect_size=\"35994624\"] \n  16 -> 26 [size =\"35994624\"]\n  16 -> 28 [size =\"35994624\"]\n  16 -> 34 [size =\"35994624\"]\n  16 -> 37 [size =\"35994624\"]\n  16 -> 39 [size =\"35994624\"]\n  17 [size=\"35680256\", alpha=\"0.11\", expect_size=\"17840128\"] \n  17 -> 30 [size =\"17840128\"]\n  17 -> 31 [size =\"17840128\"]\n  17 -> 33 [size =\"17840128\"]\n  17 -> 34 [size =\"17840128\"]\n  17 -> 39 [size =\"17840128\"]\n  18 [size=\"101455872\", alpha=\"0.12\", expect_size=\"50727936\"] \n  18 -> 26 [size =\"50727936\"]\n  18 -> 30 [size =\"50727936\"]\n  18 -> 32 [size =\"50727936\"]\n  18 -> 34 [size =\"50727936\"]\n  18 -> 39 [size =\"50727936\"]\n  19 [size=\"87414784\", alpha=\"0.02\", expect_size=\"43707392\"] \n  19 -> 29 [size =\"43707392\"]\n  19 -> 33 [size =\"43707392\"]\n  19 -> 35 [size =\"43707392\"]\n  19 -> 39 [size =\"43707392\"]\n  19 -> 40 [size =\"43707392\"]\n  20 [size=\"68147200\", alpha=\"0.14\", expect_size=\"34073600\"] \n  20 -> 28 [size =\"34073600\"]\n  20 -> 29 [size =\"34073600\"]\n  20 -> 30 [size =\"34073600\"]\n  20 -> 34 [size =\"34073600\"]\n  20 -> 37 [size =\"34073600\"]\n  20 -> 39 [size =\"34073600\"]\n  21 [size=\"52424704\", alpha=\"0.01\", expect_size=\"26212352\"] \n  21 -> 26 [size =\"26212352\"]\n  21 -> 28 [size =\"26212352\"]\n  21 -> 29 [size =\"26212352\"]\n  21 -> 30 [size =\"26212352\"]\n  21 -> 33 [size =\"26212352\"]\n  21 -> 34 [size =\"26212352\"]\n  22 [size=\"83855360\", alpha=\"0.12\", expect_size=\"41927680\"] \n  22 -> 26 [size =\"41927680\"]\n  22 -> 28 [size =\"41927680\"]\n  22 -> 29 [size =\"41927680\"]\n  22 -> 34 [size =\"41927680\"]\n  22 -> 36 [size =\"41927680\"]\n  22 -> 38 [size =\"41927680\"]\n  22 -> 40 [size =\"41927680\"]\n  23 [size=\"24555520\", alpha=\"0.07\", expect_size=\"12277760\"] \n  23 -> 25 [size =\"12277760\"]\n  23 -> 33 [size =\"12277760\"]\n  23 -> 38 [size =\"12277760\"]\n  23 -> 39 [size =\"12277760\"]\n  23 -> 40 [size =\"12277760\"]\n  24 [size=\"18917376\", alpha=\"0.04\", expect_size=\"9458688\"] \n  24 -> 26 [size =\"9458688\"]\n  24 -> 28 [size =\"9458688\"]\n  24 -> 30 [size =\"9458688\"]\n  24 -> 31 [size =\"9458688\"]\n  24 -> 32 [size =\"9458688\"]\n  24 -> 33 [size =\"9458688\"]\n  24 -> 40 [size =\"9458688\"]\n  25 [size=\"75218944\", alpha=\"0.05\", expect_size=\"37609472\"] \n  26 [size=\"50817024\", alpha=\"0.04\", expect_size=\"25408512\"] \n  27 [size=\"81317888\", alpha=\"0.02\", expect_size=\"40658944\"] \n  28 [size=\"37797888\", alpha=\"0.03\", expect_size=\"18898944\"] \n  29 [size=\"92620800\", alpha=\"0.19\", expect_size=\"46310400\"] \n  30 [size=\"104185856\", alpha=\"0.17\", expect_size=\"52092928\"] \n  31 [size=\"77912064\", alpha=\"0.12\", expect_size=\"38956032\"] \n  32 [size=\"82405376\", alpha=\"0.12\", expect_size=\"41202688\"] \n  33 [size=\"42455040\", alpha=\"0.16\", expect_size=\"21227520\"] \n  34 [size=\"73891840\", alpha=\"0.13\", expect_size=\"36945920\"] \n  35 [size=\"93992960\", alpha=\"0.08\", expect_size=\"46996480\"] \n  36 [size=\"21966848\", alpha=\"0.16\", expect_size=\"10983424\"] \n  37 [size=\"39274496\", alpha=\"0.10\", expect_size=\"19637248\"] \n  38 [size=\"49717248\", alpha=\"0.03\", expect_size=\"24858624\"] \n  39 [size=\"64210944\", alpha=\"0.12\", expect_size=\"32105472\"] \n  40 [size=\"58476544\", alpha=\"0.14\", expect_size=\"29238272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52874240\", alpha=\"0.17\", expect_size=\"21149696\"] \n  1 -> 23 [size =\"21149696\"]\n  1 -> 27 [size =\"21149696\"]\n  1 -> 29 [size =\"21149696\"]\n  1 -> 30 [size =\"21149696\"]\n  1 -> 32 [size =\"21149696\"]\n  1 -> 33 [size =\"21149696\"]\n  1 -> 34 [size =\"21149696\"]\n  1 -> 35 [size =\"21149696\"]\n  1 -> 36 [size =\"21149696\"]\n  2 [size=\"89843200\", alpha=\"0.11\", expect_size=\"35937280\"] \n  2 -> 22 [size =\"35937280\"]\n  2 -> 23 [size =\"35937280\"]\n  2 -> 26 [size =\"35937280\"]\n  2 -> 29 [size =\"35937280\"]\n  2 -> 30 [size =\"35937280\"]\n  2 -> 32 [size =\"35937280\"]\n  2 -> 35 [size =\"35937280\"]\n  2 -> 36 [size =\"35937280\"]\n  2 -> 36 [size =\"35937280\"]\n  2 -> 37 [size =\"35937280\"]\n  2 -> 39 [size =\"35937280\"]\n  3 [size=\"53849600\", alpha=\"0.17\", expect_size=\"21539840\"] \n  3 -> 23 [size =\"21539840\"]\n  3 -> 33 [size =\"21539840\"]\n  3 -> 39 [size =\"21539840\"]\n  3 -> 40 [size =\"21539840\"]\n  4 [size=\"66851840\", alpha=\"0.09\", expect_size=\"26740736\"] \n  4 -> 23 [size =\"26740736\"]\n  4 -> 33 [size =\"26740736\"]\n  4 -> 37 [size =\"26740736\"]\n  4 -> 40 [size =\"26740736\"]\n  5 [size=\"29286400\", alpha=\"0.02\", expect_size=\"11714560\"] \n  5 -> 23 [size =\"11714560\"]\n  5 -> 25 [size =\"11714560\"]\n  5 -> 26 [size =\"11714560\"]\n  5 -> 28 [size =\"11714560\"]\n  5 -> 30 [size =\"11714560\"]\n  5 -> 32 [size =\"11714560\"]\n  5 -> 33 [size =\"11714560\"]\n  5 -> 37 [size =\"11714560\"]\n  5 -> 40 [size =\"11714560\"]\n  6 [size=\"67765760\", alpha=\"0.09\", expect_size=\"27106304\"] \n  6 -> 22 [size =\"27106304\"]\n  6 -> 23 [size =\"27106304\"]\n  6 -> 26 [size =\"27106304\"]\n  6 -> 27 [size =\"27106304\"]\n  6 -> 29 [size =\"27106304\"]\n  6 -> 30 [size =\"27106304\"]\n  6 -> 31 [size =\"27106304\"]\n  6 -> 35 [size =\"27106304\"]\n  6 -> 37 [size =\"27106304\"]\n  6 -> 40 [size =\"27106304\"]\n  7 [size=\"29578240\", alpha=\"0.12\", expect_size=\"11831296\"] \n  7 -> 22 [size =\"11831296\"]\n  7 -> 23 [size =\"11831296\"]\n  7 -> 27 [size =\"11831296\"]\n  7 -> 27 [size =\"11831296\"]\n  7 -> 28 [size =\"11831296\"]\n  7 -> 29 [size =\"11831296\"]\n  7 -> 30 [size =\"11831296\"]\n  7 -> 37 [size =\"11831296\"]\n  7 -> 40 [size =\"11831296\"]\n  7 -> 40 [size =\"11831296\"]\n  8 [size=\"116318720\", alpha=\"0.17\", expect_size=\"46527488\"] \n  8 -> 23 [size =\"46527488\"]\n  8 -> 26 [size =\"46527488\"]\n  8 -> 28 [size =\"46527488\"]\n  8 -> 29 [size =\"46527488\"]\n  8 -> 31 [size =\"46527488\"]\n  8 -> 32 [size =\"46527488\"]\n  8 -> 36 [size =\"46527488\"]\n  8 -> 37 [size =\"46527488\"]\n  8 -> 38 [size =\"46527488\"]\n  8 -> 40 [size =\"46527488\"]\n  9 [size=\"93603840\", alpha=\"0.10\", expect_size=\"37441536\"] \n  9 -> 22 [size =\"37441536\"]\n  9 -> 26 [size =\"37441536\"]\n  9 -> 28 [size =\"37441536\"]\n  9 -> 29 [size =\"37441536\"]\n  9 -> 34 [size =\"37441536\"]\n  9 -> 37 [size =\"37441536\"]\n  9 -> 38 [size =\"37441536\"]\n  10 [size=\"104555520\", alpha=\"0.15\", expect_size=\"41822208\"] \n  10 -> 25 [size =\"41822208\"]\n  10 -> 32 [size =\"41822208\"]\n  10 -> 34 [size =\"41822208\"]\n  10 -> 36 [size =\"41822208\"]\n  10 -> 37 [size =\"41822208\"]\n  10 -> 38 [size =\"41822208\"]\n  10 -> 39 [size =\"41822208\"]\n  11 [size=\"48729600\", alpha=\"0.08\", expect_size=\"19491840\"] \n  11 -> 21 [size =\"19491840\"]\n  11 -> 23 [size =\"19491840\"]\n  11 -> 25 [size =\"19491840\"]\n  11 -> 26 [size =\"19491840\"]\n  11 -> 27 [size =\"19491840\"]\n  11 -> 29 [size =\"19491840\"]\n  11 -> 30 [size =\"19491840\"]\n  11 -> 31 [size =\"19491840\"]\n  11 -> 32 [size =\"19491840\"]\n  11 -> 33 [size =\"19491840\"]\n  11 -> 35 [size =\"19491840\"]\n  11 -> 36 [size =\"19491840\"]\n  11 -> 37 [size =\"19491840\"]\n  11 -> 38 [size =\"19491840\"]\n  11 -> 40 [size =\"19491840\"]\n  12 [size=\"28359680\", alpha=\"0.03\", expect_size=\"11343872\"] \n  12 -> 23 [size =\"11343872\"]\n  12 -> 23 [size =\"11343872\"]\n  12 -> 25 [size =\"11343872\"]\n  12 -> 27 [size =\"11343872\"]\n  12 -> 28 [size =\"11343872\"]\n  12 -> 31 [size =\"11343872\"]\n  12 -> 32 [size =\"11343872\"]\n  12 -> 35 [size =\"11343872\"]\n  12 -> 36 [size =\"11343872\"]\n  12 -> 37 [size =\"11343872\"]\n  12 -> 38 [size =\"11343872\"]\n  13 [size=\"93967360\", alpha=\"0.18\", expect_size=\"37586944\"] \n  13 -> 24 [size =\"37586944\"]\n  13 -> 25 [size =\"37586944\"]\n  13 -> 25 [size =\"37586944\"]\n  13 -> 27 [size =\"37586944\"]\n  13 -> 29 [size =\"37586944\"]\n  13 -> 30 [size =\"37586944\"]\n  13 -> 31 [size =\"37586944\"]\n  13 -> 32 [size =\"37586944\"]\n  13 -> 35 [size =\"37586944\"]\n  13 -> 38 [size =\"37586944\"]\n  14 [size=\"79188480\", alpha=\"0.08\", expect_size=\"31675392\"] \n  14 -> 22 [size =\"31675392\"]\n  14 -> 24 [size =\"31675392\"]\n  14 -> 32 [size =\"31675392\"]\n  14 -> 34 [size =\"31675392\"]\n  14 -> 36 [size =\"31675392\"]\n  14 -> 37 [size =\"31675392\"]\n  14 -> 38 [size =\"31675392\"]\n  15 [size=\"17154560\", alpha=\"0.09\", expect_size=\"6861824\"] \n  15 -> 21 [size =\"6861824\"]\n  15 -> 24 [size =\"6861824\"]\n  15 -> 26 [size =\"6861824\"]\n  15 -> 27 [size =\"6861824\"]\n  15 -> 30 [size =\"6861824\"]\n  15 -> 33 [size =\"6861824\"]\n  15 -> 35 [size =\"6861824\"]\n  15 -> 37 [size =\"6861824\"]\n  15 -> 38 [size =\"6861824\"]\n  15 -> 40 [size =\"6861824\"]\n  16 [size=\"26478080\", alpha=\"0.19\", expect_size=\"10591232\"] \n  16 -> 25 [size =\"10591232\"]\n  16 -> 26 [size =\"10591232\"]\n  16 -> 26 [size =\"10591232\"]\n  16 -> 27 [size =\"10591232\"]\n  16 -> 30 [size =\"10591232\"]\n  16 -> 33 [size =\"10591232\"]\n  16 -> 36 [size =\"10591232\"]\n  16 -> 37 [size =\"10591232\"]\n  17 [size=\"79590400\", alpha=\"0.15\", expect_size=\"31836160\"] \n  17 -> 21 [size =\"31836160\"]\n  17 -> 25 [size =\"31836160\"]\n  17 -> 27 [size =\"31836160\"]\n  17 -> 30 [size =\"31836160\"]\n  17 -> 33 [size =\"31836160\"]\n  17 -> 36 [size =\"31836160\"]\n  17 -> 37 [size =\"31836160\"]\n  17 -> 39 [size =\"31836160\"]\n  18 [size=\"34286080\", alpha=\"0.16\", expect_size=\"13714432\"] \n  18 -> 21 [size =\"13714432\"]\n  18 -> 23 [size =\"13714432\"]\n  18 -> 24 [size =\"13714432\"]\n  18 -> 25 [size =\"13714432\"]\n  18 -> 26 [size =\"13714432\"]\n  18 -> 27 [size =\"13714432\"]\n  18 -> 29 [size =\"13714432\"]\n  18 -> 30 [size =\"13714432\"]\n  18 -> 31 [size =\"13714432\"]\n  18 -> 36 [size =\"13714432\"]\n  19 [size=\"13708800\", alpha=\"0.05\", expect_size=\"5483520\"] \n  19 -> 21 [size =\"5483520\"]\n  19 -> 23 [size =\"5483520\"]\n  19 -> 25 [size =\"5483520\"]\n  19 -> 25 [size =\"5483520\"]\n  19 -> 26 [size =\"5483520\"]\n  19 -> 29 [size =\"5483520\"]\n  19 -> 29 [size =\"5483520\"]\n  19 -> 30 [size =\"5483520\"]\n  19 -> 32 [size =\"5483520\"]\n  19 -> 35 [size =\"5483520\"]\n  19 -> 36 [size =\"5483520\"]\n  19 -> 39 [size =\"5483520\"]\n  20 [size=\"72629760\", alpha=\"0.02\", expect_size=\"29051904\"] \n  20 -> 21 [size =\"29051904\"]\n  20 -> 23 [size =\"29051904\"]\n  20 -> 24 [size =\"29051904\"]\n  20 -> 26 [size =\"29051904\"]\n  20 -> 29 [size =\"29051904\"]\n  20 -> 30 [size =\"29051904\"]\n  20 -> 33 [size =\"29051904\"]\n  20 -> 36 [size =\"29051904\"]\n  21 [size=\"43988480\", alpha=\"0.06\", expect_size=\"17595392\"] \n  22 [size=\"91302400\", alpha=\"0.02\", expect_size=\"36520960\"] \n  23 [size=\"110955520\", alpha=\"0.06\", expect_size=\"44382208\"] \n  24 [size=\"100398080\", alpha=\"0.19\", expect_size=\"40159232\"] \n  25 [size=\"26864640\", alpha=\"0.15\", expect_size=\"10745856\"] \n  26 [size=\"79882240\", alpha=\"0.20\", expect_size=\"31952896\"] \n  27 [size=\"71431680\", alpha=\"0.07\", expect_size=\"28572672\"] \n  28 [size=\"43763200\", alpha=\"0.12\", expect_size=\"17505280\"] \n  29 [size=\"18114560\", alpha=\"0.11\", expect_size=\"7245824\"] \n  30 [size=\"45770240\", alpha=\"0.05\", expect_size=\"18308096\"] \n  31 [size=\"56248320\", alpha=\"0.06\", expect_size=\"22499328\"] \n  32 [size=\"89315840\", alpha=\"0.09\", expect_size=\"35726336\"] \n  33 [size=\"103744000\", alpha=\"0.05\", expect_size=\"41497600\"] \n  34 [size=\"22307840\", alpha=\"0.13\", expect_size=\"8923136\"] \n  35 [size=\"16721920\", alpha=\"0.02\", expect_size=\"6688768\"] \n  36 [size=\"103162880\", alpha=\"0.13\", expect_size=\"41265152\"] \n  37 [size=\"100362240\", alpha=\"0.15\", expect_size=\"40144896\"] \n  38 [size=\"24793600\", alpha=\"0.00\", expect_size=\"9917440\"] \n  39 [size=\"97630720\", alpha=\"0.06\", expect_size=\"39052288\"] \n  40 [size=\"45483520\", alpha=\"0.02\", expect_size=\"18193408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51576832\", alpha=\"0.04\", expect_size=\"25788416\"] \n  1 -> 30 [size =\"25788416\"]\n  1 -> 31 [size =\"25788416\"]\n  1 -> 32 [size =\"25788416\"]\n  1 -> 40 [size =\"25788416\"]\n  2 [size=\"65576960\", alpha=\"0.03\", expect_size=\"32788480\"] \n  2 -> 28 [size =\"32788480\"]\n  2 -> 30 [size =\"32788480\"]\n  3 [size=\"52606976\", alpha=\"0.08\", expect_size=\"26303488\"] \n  3 -> 27 [size =\"26303488\"]\n  3 -> 28 [size =\"26303488\"]\n  3 -> 34 [size =\"26303488\"]\n  3 -> 37 [size =\"26303488\"]\n  3 -> 39 [size =\"26303488\"]\n  4 [size=\"82909184\", alpha=\"0.11\", expect_size=\"41454592\"] \n  4 -> 29 [size =\"41454592\"]\n  4 -> 30 [size =\"41454592\"]\n  4 -> 35 [size =\"41454592\"]\n  4 -> 36 [size =\"41454592\"]\n  4 -> 39 [size =\"41454592\"]\n  5 [size=\"20506624\", alpha=\"0.19\", expect_size=\"10253312\"] \n  5 -> 30 [size =\"10253312\"]\n  5 -> 33 [size =\"10253312\"]\n  5 -> 35 [size =\"10253312\"]\n  5 -> 39 [size =\"10253312\"]\n  6 [size=\"102504448\", alpha=\"0.15\", expect_size=\"51252224\"] \n  6 -> 37 [size =\"51252224\"]\n  7 [size=\"35448832\", alpha=\"0.10\", expect_size=\"17724416\"] \n  7 -> 27 [size =\"17724416\"]\n  7 -> 30 [size =\"17724416\"]\n  7 -> 36 [size =\"17724416\"]\n  8 [size=\"19339264\", alpha=\"0.15\", expect_size=\"9669632\"] \n  8 -> 28 [size =\"9669632\"]\n  8 -> 31 [size =\"9669632\"]\n  8 -> 33 [size =\"9669632\"]\n  8 -> 39 [size =\"9669632\"]\n  9 [size=\"64700416\", alpha=\"0.13\", expect_size=\"32350208\"] \n  9 -> 27 [size =\"32350208\"]\n  9 -> 30 [size =\"32350208\"]\n  9 -> 38 [size =\"32350208\"]\n  10 [size=\"45473792\", alpha=\"0.03\", expect_size=\"22736896\"] \n  10 -> 27 [size =\"22736896\"]\n  10 -> 30 [size =\"22736896\"]\n  10 -> 35 [size =\"22736896\"]\n  11 [size=\"31076352\", alpha=\"0.18\", expect_size=\"15538176\"] \n  11 -> 27 [size =\"15538176\"]\n  11 -> 30 [size =\"15538176\"]\n  11 -> 38 [size =\"15538176\"]\n  11 -> 39 [size =\"15538176\"]\n  12 [size=\"48918528\", alpha=\"0.08\", expect_size=\"24459264\"] \n  12 -> 28 [size =\"24459264\"]\n  12 -> 30 [size =\"24459264\"]\n  12 -> 31 [size =\"24459264\"]\n  12 -> 33 [size =\"24459264\"]\n  12 -> 34 [size =\"24459264\"]\n  12 -> 38 [size =\"24459264\"]\n  13 [size=\"62027776\", alpha=\"0.16\", expect_size=\"31013888\"] \n  13 -> 28 [size =\"31013888\"]\n  13 -> 30 [size =\"31013888\"]\n  13 -> 33 [size =\"31013888\"]\n  13 -> 35 [size =\"31013888\"]\n  13 -> 37 [size =\"31013888\"]\n  13 -> 39 [size =\"31013888\"]\n  14 [size=\"98379776\", alpha=\"0.01\", expect_size=\"49189888\"] \n  14 -> 27 [size =\"49189888\"]\n  14 -> 36 [size =\"49189888\"]\n  14 -> 37 [size =\"49189888\"]\n  14 -> 39 [size =\"49189888\"]\n  14 -> 40 [size =\"49189888\"]\n  15 [size=\"57600000\", alpha=\"0.11\", expect_size=\"28800000\"] \n  15 -> 30 [size =\"28800000\"]\n  15 -> 39 [size =\"28800000\"]\n  16 [size=\"51077120\", alpha=\"0.18\", expect_size=\"25538560\"] \n  16 -> 28 [size =\"25538560\"]\n  16 -> 34 [size =\"25538560\"]\n  16 -> 36 [size =\"25538560\"]\n  16 -> 39 [size =\"25538560\"]\n  17 [size=\"28491776\", alpha=\"0.06\", expect_size=\"14245888\"] \n  17 -> 27 [size =\"14245888\"]\n  17 -> 31 [size =\"14245888\"]\n  17 -> 32 [size =\"14245888\"]\n  17 -> 35 [size =\"14245888\"]\n  17 -> 38 [size =\"14245888\"]\n  17 -> 39 [size =\"14245888\"]\n  18 [size=\"76251136\", alpha=\"0.06\", expect_size=\"38125568\"] \n  18 -> 27 [size =\"38125568\"]\n  18 -> 30 [size =\"38125568\"]\n  18 -> 34 [size =\"38125568\"]\n  18 -> 36 [size =\"38125568\"]\n  18 -> 39 [size =\"38125568\"]\n  18 -> 40 [size =\"38125568\"]\n  19 [size=\"54165504\", alpha=\"0.02\", expect_size=\"27082752\"] \n  19 -> 27 [size =\"27082752\"]\n  19 -> 36 [size =\"27082752\"]\n  20 [size=\"22368256\", alpha=\"0.13\", expect_size=\"11184128\"] \n  20 -> 33 [size =\"11184128\"]\n  20 -> 35 [size =\"11184128\"]\n  20 -> 36 [size =\"11184128\"]\n  20 -> 39 [size =\"11184128\"]\n  21 [size=\"34961408\", alpha=\"0.13\", expect_size=\"17480704\"] \n  21 -> 31 [size =\"17480704\"]\n  21 -> 33 [size =\"17480704\"]\n  21 -> 34 [size =\"17480704\"]\n  21 -> 38 [size =\"17480704\"]\n  22 [size=\"26710016\", alpha=\"0.04\", expect_size=\"13355008\"] \n  22 -> 28 [size =\"13355008\"]\n  22 -> 31 [size =\"13355008\"]\n  22 -> 33 [size =\"13355008\"]\n  22 -> 35 [size =\"13355008\"]\n  22 -> 40 [size =\"13355008\"]\n  23 [size=\"63893504\", alpha=\"0.05\", expect_size=\"31946752\"] \n  23 -> 31 [size =\"31946752\"]\n  23 -> 31 [size =\"31946752\"]\n  23 -> 33 [size =\"31946752\"]\n  23 -> 34 [size =\"31946752\"]\n  23 -> 36 [size =\"31946752\"]\n  24 [size=\"44994560\", alpha=\"0.00\", expect_size=\"22497280\"] \n  24 -> 31 [size =\"22497280\"]\n  24 -> 33 [size =\"22497280\"]\n  24 -> 37 [size =\"22497280\"]\n  25 [size=\"50587648\", alpha=\"0.18\", expect_size=\"25293824\"] \n  25 -> 30 [size =\"25293824\"]\n  25 -> 33 [size =\"25293824\"]\n  25 -> 38 [size =\"25293824\"]\n  26 [size=\"101548032\", alpha=\"0.16\", expect_size=\"50774016\"] \n  26 -> 31 [size =\"50774016\"]\n  26 -> 33 [size =\"50774016\"]\n  26 -> 35 [size =\"50774016\"]\n  26 -> 37 [size =\"50774016\"]\n  26 -> 38 [size =\"50774016\"]\n  27 [size=\"91303936\", alpha=\"0.18\", expect_size=\"45651968\"] \n  28 [size=\"27131904\", alpha=\"0.03\", expect_size=\"13565952\"] \n  29 [size=\"53127168\", alpha=\"0.19\", expect_size=\"26563584\"] \n  30 [size=\"61882368\", alpha=\"0.02\", expect_size=\"30941184\"] \n  31 [size=\"28655616\", alpha=\"0.10\", expect_size=\"14327808\"] \n  32 [size=\"88907776\", alpha=\"0.06\", expect_size=\"44453888\"] \n  33 [size=\"14618624\", alpha=\"0.13\", expect_size=\"7309312\"] \n  34 [size=\"36651008\", alpha=\"0.19\", expect_size=\"18325504\"] \n  35 [size=\"38684672\", alpha=\"0.14\", expect_size=\"19342336\"] \n  36 [size=\"30742528\", alpha=\"0.18\", expect_size=\"15371264\"] \n  37 [size=\"104845312\", alpha=\"0.06\", expect_size=\"52422656\"] \n  38 [size=\"97212416\", alpha=\"0.08\", expect_size=\"48606208\"] \n  39 [size=\"16695296\", alpha=\"0.19\", expect_size=\"8347648\"] \n  40 [size=\"11884544\", alpha=\"0.13\", expect_size=\"5942272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78804480\", alpha=\"0.14\", expect_size=\"31521792\"] \n  1 -> 24 [size =\"31521792\"]\n  1 -> 28 [size =\"31521792\"]\n  2 [size=\"40094720\", alpha=\"0.02\", expect_size=\"16037888\"] \n  2 -> 17 [size =\"16037888\"]\n  2 -> 18 [size =\"16037888\"]\n  2 -> 22 [size =\"16037888\"]\n  2 -> 24 [size =\"16037888\"]\n  2 -> 27 [size =\"16037888\"]\n  2 -> 28 [size =\"16037888\"]\n  2 -> 29 [size =\"16037888\"]\n  3 [size=\"60761600\", alpha=\"0.01\", expect_size=\"24304640\"] \n  3 -> 28 [size =\"24304640\"]\n  3 -> 30 [size =\"24304640\"]\n  4 [size=\"92300800\", alpha=\"0.08\", expect_size=\"36920320\"] \n  4 -> 18 [size =\"36920320\"]\n  4 -> 24 [size =\"36920320\"]\n  4 -> 26 [size =\"36920320\"]\n  4 -> 29 [size =\"36920320\"]\n  5 [size=\"106785280\", alpha=\"0.05\", expect_size=\"42714112\"] \n  5 -> 17 [size =\"42714112\"]\n  5 -> 20 [size =\"42714112\"]\n  5 -> 24 [size =\"42714112\"]\n  5 -> 28 [size =\"42714112\"]\n  6 [size=\"82068480\", alpha=\"0.11\", expect_size=\"32827392\"] \n  6 -> 17 [size =\"32827392\"]\n  6 -> 20 [size =\"32827392\"]\n  7 [size=\"120716800\", alpha=\"0.18\", expect_size=\"48286720\"] \n  7 -> 16 [size =\"48286720\"]\n  7 -> 26 [size =\"48286720\"]\n  7 -> 28 [size =\"48286720\"]\n  8 [size=\"39703040\", alpha=\"0.14\", expect_size=\"15881216\"] \n  8 -> 17 [size =\"15881216\"]\n  8 -> 18 [size =\"15881216\"]\n  8 -> 23 [size =\"15881216\"]\n  9 [size=\"54328320\", alpha=\"0.06\", expect_size=\"21731328\"] \n  9 -> 16 [size =\"21731328\"]\n  9 -> 17 [size =\"21731328\"]\n  10 [size=\"17487360\", alpha=\"0.07\", expect_size=\"6994944\"] \n  10 -> 25 [size =\"6994944\"]\n  10 -> 26 [size =\"6994944\"]\n  10 -> 28 [size =\"6994944\"]\n  10 -> 29 [size =\"6994944\"]\n  11 [size=\"67036160\", alpha=\"0.07\", expect_size=\"26814464\"] \n  11 -> 18 [size =\"26814464\"]\n  11 -> 24 [size =\"26814464\"]\n  11 -> 25 [size =\"26814464\"]\n  11 -> 26 [size =\"26814464\"]\n  11 -> 28 [size =\"26814464\"]\n  12 [size=\"32161280\", alpha=\"0.18\", expect_size=\"12864512\"] \n  12 -> 16 [size =\"12864512\"]\n  12 -> 22 [size =\"12864512\"]\n  12 -> 26 [size =\"12864512\"]\n  13 [size=\"41144320\", alpha=\"0.10\", expect_size=\"16457728\"] \n  13 -> 16 [size =\"16457728\"]\n  13 -> 17 [size =\"16457728\"]\n  13 -> 18 [size =\"16457728\"]\n  13 -> 21 [size =\"16457728\"]\n  13 -> 24 [size =\"16457728\"]\n  14 [size=\"48634880\", alpha=\"0.12\", expect_size=\"19453952\"] \n  14 -> 16 [size =\"19453952\"]\n  14 -> 17 [size =\"19453952\"]\n  14 -> 18 [size =\"19453952\"]\n  14 -> 20 [size =\"19453952\"]\n  15 [size=\"96012800\", alpha=\"0.12\", expect_size=\"38405120\"] \n  15 -> 18 [size =\"38405120\"]\n  15 -> 19 [size =\"38405120\"]\n  15 -> 20 [size =\"38405120\"]\n  15 -> 24 [size =\"38405120\"]\n  15 -> 29 [size =\"38405120\"]\n  16 [size=\"124318720\", alpha=\"0.00\", expect_size=\"49727488\"] \n  16 -> 34 [size =\"49727488\"]\n  16 -> 35 [size =\"49727488\"]\n  16 -> 37 [size =\"49727488\"]\n  17 [size=\"69998080\", alpha=\"0.17\", expect_size=\"27999232\"] \n  17 -> 33 [size =\"27999232\"]\n  18 [size=\"60280320\", alpha=\"0.17\", expect_size=\"24112128\"] \n  18 -> 36 [size =\"24112128\"]\n  18 -> 37 [size =\"24112128\"]\n  19 [size=\"26280960\", alpha=\"0.17\", expect_size=\"10512384\"] \n  19 -> 31 [size =\"10512384\"]\n  19 -> 35 [size =\"10512384\"]\n  19 -> 36 [size =\"10512384\"]\n  20 [size=\"60628480\", alpha=\"0.10\", expect_size=\"24251392\"] \n  20 -> 32 [size =\"24251392\"]\n  20 -> 34 [size =\"24251392\"]\n  20 -> 35 [size =\"24251392\"]\n  21 [size=\"99834880\", alpha=\"0.15\", expect_size=\"39933952\"] \n  21 -> 35 [size =\"39933952\"]\n  22 [size=\"24130560\", alpha=\"0.04\", expect_size=\"9652224\"] \n  22 -> 33 [size =\"9652224\"]\n  22 -> 35 [size =\"9652224\"]\n  23 [size=\"14228480\", alpha=\"0.01\", expect_size=\"5691392\"] \n  23 -> 35 [size =\"5691392\"]\n  24 [size=\"74129920\", alpha=\"0.12\", expect_size=\"29651968\"] \n  24 -> 35 [size =\"29651968\"]\n  24 -> 37 [size =\"29651968\"]\n  25 [size=\"26667520\", alpha=\"0.18\", expect_size=\"10667008\"] \n  25 -> 36 [size =\"10667008\"]\n  25 -> 37 [size =\"10667008\"]\n  26 [size=\"97646080\", alpha=\"0.17\", expect_size=\"39058432\"] \n  26 -> 35 [size =\"39058432\"]\n  27 [size=\"98979840\", alpha=\"0.13\", expect_size=\"39591936\"] \n  28 [size=\"81003520\", alpha=\"0.14\", expect_size=\"32401408\"] \n  28 -> 33 [size =\"32401408\"]\n  29 [size=\"62336000\", alpha=\"0.02\", expect_size=\"24934400\"] \n  30 [size=\"43481600\", alpha=\"0.11\", expect_size=\"17392640\"] \n  30 -> 33 [size =\"17392640\"]\n  31 [size=\"103879680\", alpha=\"0.09\", expect_size=\"41551872\"] \n  31 -> 38 [size =\"41551872\"]\n  32 [size=\"73295360\", alpha=\"0.10\", expect_size=\"29318144\"] \n  32 -> 40 [size =\"29318144\"]\n  33 [size=\"96683520\", alpha=\"0.16\", expect_size=\"38673408\"] \n  34 [size=\"103736320\", alpha=\"0.07\", expect_size=\"41494528\"] \n  34 -> 39 [size =\"41494528\"]\n  35 [size=\"55685120\", alpha=\"0.13\", expect_size=\"22274048\"] \n  36 [size=\"46208000\", alpha=\"0.18\", expect_size=\"18483200\"] \n  36 -> 39 [size =\"18483200\"]\n  37 [size=\"26304000\", alpha=\"0.13\", expect_size=\"10521600\"] \n  38 [size=\"103582720\", alpha=\"0.15\", expect_size=\"41433088\"] \n  39 [size=\"68712960\", alpha=\"0.20\", expect_size=\"27485184\"] \n  40 [size=\"80883200\", alpha=\"0.12\", expect_size=\"32353280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65554432\", alpha=\"0.04\", expect_size=\"32777216\"] \n  1 -> 28 [size =\"32777216\"]\n  1 -> 31 [size =\"32777216\"]\n  1 -> 33 [size =\"32777216\"]\n  1 -> 34 [size =\"32777216\"]\n  1 -> 36 [size =\"32777216\"]\n  1 -> 38 [size =\"32777216\"]\n  1 -> 40 [size =\"32777216\"]\n  2 [size=\"37365760\", alpha=\"0.18\", expect_size=\"18682880\"] \n  2 -> 28 [size =\"18682880\"]\n  2 -> 36 [size =\"18682880\"]\n  2 -> 39 [size =\"18682880\"]\n  3 [size=\"100161536\", alpha=\"0.12\", expect_size=\"50080768\"] \n  3 -> 28 [size =\"50080768\"]\n  3 -> 29 [size =\"50080768\"]\n  3 -> 32 [size =\"50080768\"]\n  3 -> 33 [size =\"50080768\"]\n  3 -> 36 [size =\"50080768\"]\n  3 -> 39 [size =\"50080768\"]\n  4 [size=\"75782144\", alpha=\"0.05\", expect_size=\"37891072\"] \n  4 -> 29 [size =\"37891072\"]\n  4 -> 32 [size =\"37891072\"]\n  4 -> 33 [size =\"37891072\"]\n  4 -> 34 [size =\"37891072\"]\n  4 -> 35 [size =\"37891072\"]\n  4 -> 36 [size =\"37891072\"]\n  4 -> 39 [size =\"37891072\"]\n  5 [size=\"85594112\", alpha=\"0.13\", expect_size=\"42797056\"] \n  5 -> 29 [size =\"42797056\"]\n  5 -> 32 [size =\"42797056\"]\n  5 -> 33 [size =\"42797056\"]\n  5 -> 36 [size =\"42797056\"]\n  5 -> 39 [size =\"42797056\"]\n  6 [size=\"98242560\", alpha=\"0.15\", expect_size=\"49121280\"] \n  6 -> 29 [size =\"49121280\"]\n  6 -> 32 [size =\"49121280\"]\n  6 -> 33 [size =\"49121280\"]\n  6 -> 34 [size =\"49121280\"]\n  6 -> 36 [size =\"49121280\"]\n  6 -> 39 [size =\"49121280\"]\n  7 [size=\"98412544\", alpha=\"0.06\", expect_size=\"49206272\"] \n  7 -> 29 [size =\"49206272\"]\n  7 -> 32 [size =\"49206272\"]\n  7 -> 34 [size =\"49206272\"]\n  7 -> 35 [size =\"49206272\"]\n  7 -> 36 [size =\"49206272\"]\n  7 -> 40 [size =\"49206272\"]\n  8 [size=\"62984192\", alpha=\"0.05\", expect_size=\"31492096\"] \n  8 -> 32 [size =\"31492096\"]\n  8 -> 35 [size =\"31492096\"]\n  8 -> 36 [size =\"31492096\"]\n  9 [size=\"85909504\", alpha=\"0.07\", expect_size=\"42954752\"] \n  9 -> 31 [size =\"42954752\"]\n  9 -> 33 [size =\"42954752\"]\n  9 -> 34 [size =\"42954752\"]\n  9 -> 35 [size =\"42954752\"]\n  9 -> 36 [size =\"42954752\"]\n  10 [size=\"73078784\", alpha=\"0.18\", expect_size=\"36539392\"] \n  10 -> 29 [size =\"36539392\"]\n  10 -> 31 [size =\"36539392\"]\n  10 -> 35 [size =\"36539392\"]\n  10 -> 40 [size =\"36539392\"]\n  11 [size=\"103600128\", alpha=\"0.08\", expect_size=\"51800064\"] \n  11 -> 29 [size =\"51800064\"]\n  11 -> 34 [size =\"51800064\"]\n  11 -> 35 [size =\"51800064\"]\n  11 -> 40 [size =\"51800064\"]\n  12 [size=\"26083328\", alpha=\"0.02\", expect_size=\"13041664\"] \n  12 -> 28 [size =\"13041664\"]\n  12 -> 29 [size =\"13041664\"]\n  12 -> 31 [size =\"13041664\"]\n  12 -> 32 [size =\"13041664\"]\n  12 -> 33 [size =\"13041664\"]\n  12 -> 34 [size =\"13041664\"]\n  12 -> 35 [size =\"13041664\"]\n  12 -> 36 [size =\"13041664\"]\n  13 [size=\"14788608\", alpha=\"0.07\", expect_size=\"7394304\"] \n  13 -> 29 [size =\"7394304\"]\n  13 -> 31 [size =\"7394304\"]\n  13 -> 33 [size =\"7394304\"]\n  13 -> 34 [size =\"7394304\"]\n  13 -> 35 [size =\"7394304\"]\n  13 -> 36 [size =\"7394304\"]\n  13 -> 39 [size =\"7394304\"]\n  13 -> 40 [size =\"7394304\"]\n  14 [size=\"72302592\", alpha=\"0.04\", expect_size=\"36151296\"] \n  14 -> 29 [size =\"36151296\"]\n  14 -> 31 [size =\"36151296\"]\n  14 -> 33 [size =\"36151296\"]\n  14 -> 35 [size =\"36151296\"]\n  14 -> 39 [size =\"36151296\"]\n  15 [size=\"93911040\", alpha=\"0.17\", expect_size=\"46955520\"] \n  15 -> 29 [size =\"46955520\"]\n  15 -> 31 [size =\"46955520\"]\n  15 -> 32 [size =\"46955520\"]\n  15 -> 33 [size =\"46955520\"]\n  15 -> 35 [size =\"46955520\"]\n  15 -> 36 [size =\"46955520\"]\n  15 -> 39 [size =\"46955520\"]\n  16 [size=\"62416896\", alpha=\"0.10\", expect_size=\"31208448\"] \n  16 -> 28 [size =\"31208448\"]\n  16 -> 29 [size =\"31208448\"]\n  16 -> 33 [size =\"31208448\"]\n  16 -> 36 [size =\"31208448\"]\n  16 -> 39 [size =\"31208448\"]\n  17 [size=\"36651008\", alpha=\"0.02\", expect_size=\"18325504\"] \n  17 -> 28 [size =\"18325504\"]\n  17 -> 29 [size =\"18325504\"]\n  17 -> 33 [size =\"18325504\"]\n  17 -> 36 [size =\"18325504\"]\n  17 -> 39 [size =\"18325504\"]\n  18 [size=\"66787328\", alpha=\"0.06\", expect_size=\"33393664\"] \n  18 -> 28 [size =\"33393664\"]\n  18 -> 29 [size =\"33393664\"]\n  18 -> 33 [size =\"33393664\"]\n  18 -> 34 [size =\"33393664\"]\n  18 -> 36 [size =\"33393664\"]\n  18 -> 39 [size =\"33393664\"]\n  19 [size=\"89964544\", alpha=\"0.18\", expect_size=\"44982272\"] \n  19 -> 29 [size =\"44982272\"]\n  19 -> 29 [size =\"44982272\"]\n  19 -> 30 [size =\"44982272\"]\n  19 -> 31 [size =\"44982272\"]\n  19 -> 32 [size =\"44982272\"]\n  19 -> 34 [size =\"44982272\"]\n  19 -> 35 [size =\"44982272\"]\n  19 -> 36 [size =\"44982272\"]\n  19 -> 39 [size =\"44982272\"]\n  20 [size=\"30507008\", alpha=\"0.16\", expect_size=\"15253504\"] \n  20 -> 29 [size =\"15253504\"]\n  20 -> 30 [size =\"15253504\"]\n  20 -> 31 [size =\"15253504\"]\n  20 -> 32 [size =\"15253504\"]\n  20 -> 33 [size =\"15253504\"]\n  20 -> 35 [size =\"15253504\"]\n  20 -> 36 [size =\"15253504\"]\n  20 -> 36 [size =\"15253504\"]\n  21 [size=\"21057536\", alpha=\"0.06\", expect_size=\"10528768\"] \n  21 -> 28 [size =\"10528768\"]\n  21 -> 29 [size =\"10528768\"]\n  21 -> 32 [size =\"10528768\"]\n  21 -> 32 [size =\"10528768\"]\n  21 -> 33 [size =\"10528768\"]\n  21 -> 35 [size =\"10528768\"]\n  21 -> 36 [size =\"10528768\"]\n  21 -> 37 [size =\"10528768\"]\n  22 [size=\"61075456\", alpha=\"0.02\", expect_size=\"30537728\"] \n  22 -> 28 [size =\"30537728\"]\n  22 -> 29 [size =\"30537728\"]\n  22 -> 30 [size =\"30537728\"]\n  22 -> 32 [size =\"30537728\"]\n  22 -> 34 [size =\"30537728\"]\n  22 -> 35 [size =\"30537728\"]\n  22 -> 36 [size =\"30537728\"]\n  22 -> 40 [size =\"30537728\"]\n  23 [size=\"72663040\", alpha=\"0.17\", expect_size=\"36331520\"] \n  23 -> 29 [size =\"36331520\"]\n  23 -> 33 [size =\"36331520\"]\n  23 -> 34 [size =\"36331520\"]\n  23 -> 35 [size =\"36331520\"]\n  23 -> 36 [size =\"36331520\"]\n  24 [size=\"103843840\", alpha=\"0.06\", expect_size=\"51921920\"] \n  24 -> 28 [size =\"51921920\"]\n  24 -> 31 [size =\"51921920\"]\n  24 -> 32 [size =\"51921920\"]\n  24 -> 33 [size =\"51921920\"]\n  24 -> 35 [size =\"51921920\"]\n  24 -> 36 [size =\"51921920\"]\n  25 [size=\"26198016\", alpha=\"0.11\", expect_size=\"13099008\"] \n  25 -> 28 [size =\"13099008\"]\n  25 -> 29 [size =\"13099008\"]\n  25 -> 31 [size =\"13099008\"]\n  25 -> 39 [size =\"13099008\"]\n  26 [size=\"13926400\", alpha=\"0.14\", expect_size=\"6963200\"] \n  26 -> 29 [size =\"6963200\"]\n  26 -> 33 [size =\"6963200\"]\n  26 -> 39 [size =\"6963200\"]\n  27 [size=\"60966912\", alpha=\"0.16\", expect_size=\"30483456\"] \n  27 -> 29 [size =\"30483456\"]\n  27 -> 31 [size =\"30483456\"]\n  27 -> 32 [size =\"30483456\"]\n  27 -> 33 [size =\"30483456\"]\n  27 -> 34 [size =\"30483456\"]\n  27 -> 36 [size =\"30483456\"]\n  27 -> 37 [size =\"30483456\"]\n  27 -> 39 [size =\"30483456\"]\n  28 [size=\"71866368\", alpha=\"0.09\", expect_size=\"35933184\"] \n  29 [size=\"99241984\", alpha=\"0.18\", expect_size=\"49620992\"] \n  30 [size=\"88141824\", alpha=\"0.00\", expect_size=\"44070912\"] \n  31 [size=\"70262784\", alpha=\"0.02\", expect_size=\"35131392\"] \n  32 [size=\"100675584\", alpha=\"0.08\", expect_size=\"50337792\"] \n  33 [size=\"17516544\", alpha=\"0.14\", expect_size=\"8758272\"] \n  34 [size=\"99205120\", alpha=\"0.13\", expect_size=\"49602560\"] \n  35 [size=\"33554432\", alpha=\"0.10\", expect_size=\"16777216\"] \n  36 [size=\"84416512\", alpha=\"0.18\", expect_size=\"42208256\"] \n  37 [size=\"56436736\", alpha=\"0.12\", expect_size=\"28218368\"] \n  38 [size=\"37537792\", alpha=\"0.18\", expect_size=\"18768896\"] \n  39 [size=\"80222208\", alpha=\"0.20\", expect_size=\"40111104\"] \n  40 [size=\"71172096\", alpha=\"0.07\", expect_size=\"35586048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24502272\", alpha=\"0.19\", expect_size=\"12251136\"] \n  1 -> 38 [size =\"12251136\"]\n  2 [size=\"102029312\", alpha=\"0.06\", expect_size=\"51014656\"] \n  2 -> 38 [size =\"51014656\"]\n  2 -> 39 [size =\"51014656\"]\n  3 [size=\"26699776\", alpha=\"0.09\", expect_size=\"13349888\"] \n  3 -> 38 [size =\"13349888\"]\n  4 [size=\"50046976\", alpha=\"0.16\", expect_size=\"25023488\"] \n  4 -> 38 [size =\"25023488\"]\n  5 [size=\"64993280\", alpha=\"0.13\", expect_size=\"32496640\"] \n  5 -> 38 [size =\"32496640\"]\n  6 [size=\"14077952\", alpha=\"0.08\", expect_size=\"7038976\"] \n  6 -> 38 [size =\"7038976\"]\n  6 -> 39 [size =\"7038976\"]\n  6 -> 40 [size =\"7038976\"]\n  7 [size=\"16244736\", alpha=\"0.17\", expect_size=\"8122368\"] \n  7 -> 38 [size =\"8122368\"]\n  7 -> 40 [size =\"8122368\"]\n  8 [size=\"18671616\", alpha=\"0.14\", expect_size=\"9335808\"] \n  8 -> 40 [size =\"9335808\"]\n  9 [size=\"50462720\", alpha=\"0.01\", expect_size=\"25231360\"] \n  9 -> 40 [size =\"25231360\"]\n  10 [size=\"70707200\", alpha=\"0.19\", expect_size=\"35353600\"] \n  10 -> 40 [size =\"35353600\"]\n  11 [size=\"23719936\", alpha=\"0.00\", expect_size=\"11859968\"] \n  11 -> 40 [size =\"11859968\"]\n  12 [size=\"16928768\", alpha=\"0.09\", expect_size=\"8464384\"] \n  13 [size=\"47362048\", alpha=\"0.04\", expect_size=\"23681024\"] \n  13 -> 38 [size =\"23681024\"]\n  13 -> 39 [size =\"23681024\"]\n  13 -> 40 [size =\"23681024\"]\n  14 [size=\"87687168\", alpha=\"0.11\", expect_size=\"43843584\"] \n  14 -> 38 [size =\"43843584\"]\n  14 -> 39 [size =\"43843584\"]\n  15 [size=\"66936832\", alpha=\"0.08\", expect_size=\"33468416\"] \n  15 -> 38 [size =\"33468416\"]\n  16 [size=\"35188736\", alpha=\"0.10\", expect_size=\"17594368\"] \n  17 [size=\"74420224\", alpha=\"0.04\", expect_size=\"37210112\"] \n  17 -> 40 [size =\"37210112\"]\n  18 [size=\"58066944\", alpha=\"0.11\", expect_size=\"29033472\"] \n  18 -> 38 [size =\"29033472\"]\n  19 [size=\"29243392\", alpha=\"0.13\", expect_size=\"14621696\"] \n  19 -> 38 [size =\"14621696\"]\n  19 -> 40 [size =\"14621696\"]\n  20 [size=\"33671168\", alpha=\"0.04\", expect_size=\"16835584\"] \n  21 [size=\"29286400\", alpha=\"0.18\", expect_size=\"14643200\"] \n  21 -> 38 [size =\"14643200\"]\n  22 [size=\"30828544\", alpha=\"0.11\", expect_size=\"15414272\"] \n  22 -> 39 [size =\"15414272\"]\n  22 -> 40 [size =\"15414272\"]\n  23 [size=\"72890368\", alpha=\"0.07\", expect_size=\"36445184\"] \n  23 -> 38 [size =\"36445184\"]\n  23 -> 40 [size =\"36445184\"]\n  24 [size=\"91260928\", alpha=\"0.12\", expect_size=\"45630464\"] \n  24 -> 39 [size =\"45630464\"]\n  24 -> 40 [size =\"45630464\"]\n  25 [size=\"50196480\", alpha=\"0.09\", expect_size=\"25098240\"] \n  26 [size=\"87052288\", alpha=\"0.06\", expect_size=\"43526144\"] \n  27 [size=\"42000384\", alpha=\"0.04\", expect_size=\"21000192\"] \n  27 -> 38 [size =\"21000192\"]\n  28 [size=\"58738688\", alpha=\"0.04\", expect_size=\"29369344\"] \n  29 [size=\"17424384\", alpha=\"0.13\", expect_size=\"8712192\"] \n  29 -> 38 [size =\"8712192\"]\n  29 -> 39 [size =\"8712192\"]\n  30 [size=\"81078272\", alpha=\"0.14\", expect_size=\"40539136\"] \n  30 -> 40 [size =\"40539136\"]\n  31 [size=\"100800512\", alpha=\"0.19\", expect_size=\"50400256\"] \n  31 -> 38 [size =\"50400256\"]\n  31 -> 39 [size =\"50400256\"]\n  32 [size=\"90607616\", alpha=\"0.04\", expect_size=\"45303808\"] \n  32 -> 38 [size =\"45303808\"]\n  33 [size=\"47671296\", alpha=\"0.18\", expect_size=\"23835648\"] \n  34 [size=\"82581504\", alpha=\"0.07\", expect_size=\"41290752\"] \n  35 [size=\"46157824\", alpha=\"0.09\", expect_size=\"23078912\"] \n  35 -> 38 [size =\"23078912\"]\n  36 [size=\"87277568\", alpha=\"0.16\", expect_size=\"43638784\"] \n  36 -> 38 [size =\"43638784\"]\n  37 [size=\"20793344\", alpha=\"0.16\", expect_size=\"10396672\"] \n  38 [size=\"41207808\", alpha=\"0.07\", expect_size=\"20603904\"] \n  39 [size=\"62337024\", alpha=\"0.02\", expect_size=\"31168512\"] \n  40 [size=\"29786112\", alpha=\"0.01\", expect_size=\"14893056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135785813\", alpha=\"0.12\", expect_size=\"40735744\"] \n  1 -> 5 [size =\"40735744\"]\n  2 [size=\"100396373\", alpha=\"0.04\", expect_size=\"30118912\"] \n  2 -> 6 [size =\"30118912\"]\n  3 [size=\"139147947\", alpha=\"0.17\", expect_size=\"41744384\"] \n  3 -> 4 [size =\"41744384\"]\n  3 -> 6 [size =\"41744384\"]\n  4 [size=\"73540267\", alpha=\"0.17\", expect_size=\"22062080\"] \n  5 [size=\"98976427\", alpha=\"0.06\", expect_size=\"29692928\"] \n  5 -> 7 [size =\"29692928\"]\n  6 [size=\"62201173\", alpha=\"0.02\", expect_size=\"18660352\"] \n  6 -> 8 [size =\"18660352\"]\n  7 [size=\"102690133\", alpha=\"0.18\", expect_size=\"30807040\"] \n  7 -> 9 [size =\"30807040\"]\n  7 -> 10 [size =\"30807040\"]\n  8 [size=\"89494187\", alpha=\"0.17\", expect_size=\"26848256\"] \n  8 -> 9 [size =\"26848256\"]\n  8 -> 10 [size =\"26848256\"]\n  9 [size=\"134826667\", alpha=\"0.06\", expect_size=\"40448000\"] \n  9 -> 11 [size =\"40448000\"]\n  9 -> 12 [size =\"40448000\"]\n  9 -> 13 [size =\"40448000\"]\n  10 [size=\"95450453\", alpha=\"0.04\", expect_size=\"28635136\"] \n  10 -> 12 [size =\"28635136\"]\n  11 [size=\"27651413\", alpha=\"0.15\", expect_size=\"8295424\"] \n  11 -> 14 [size =\"8295424\"]\n  11 -> 15 [size =\"8295424\"]\n  12 [size=\"118343680\", alpha=\"0.20\", expect_size=\"35503104\"] \n  12 -> 14 [size =\"35503104\"]\n  12 -> 16 [size =\"35503104\"]\n  13 [size=\"152627200\", alpha=\"0.04\", expect_size=\"45788160\"] \n  13 -> 15 [size =\"45788160\"]\n  14 [size=\"128068267\", alpha=\"0.08\", expect_size=\"38420480\"] \n  14 -> 18 [size =\"38420480\"]\n  14 -> 19 [size =\"38420480\"]\n  15 [size=\"106243413\", alpha=\"0.03\", expect_size=\"31873024\"] \n  15 -> 17 [size =\"31873024\"]\n  15 -> 19 [size =\"31873024\"]\n  16 [size=\"151507627\", alpha=\"0.11\", expect_size=\"45452288\"] \n  16 -> 18 [size =\"45452288\"]\n  17 [size=\"170478933\", alpha=\"0.02\", expect_size=\"51143680\"] \n  17 -> 20 [size =\"51143680\"]\n  17 -> 22 [size =\"51143680\"]\n  18 [size=\"158242133\", alpha=\"0.07\", expect_size=\"47472640\"] \n  18 -> 21 [size =\"47472640\"]\n  19 [size=\"133270187\", alpha=\"0.10\", expect_size=\"39981056\"] \n  20 [size=\"22405120\", alpha=\"0.07\", expect_size=\"6721536\"] \n  20 -> 23 [size =\"6721536\"]\n  20 -> 24 [size =\"6721536\"]\n  21 [size=\"51961173\", alpha=\"0.19\", expect_size=\"15588352\"] \n  22 [size=\"166058667\", alpha=\"0.02\", expect_size=\"49817600\"] \n  23 [size=\"162508800\", alpha=\"0.20\", expect_size=\"48752640\"] \n  23 -> 25 [size =\"48752640\"]\n  23 -> 27 [size =\"48752640\"]\n  24 [size=\"40540160\", alpha=\"0.05\", expect_size=\"12162048\"] \n  24 -> 25 [size =\"12162048\"]\n  24 -> 26 [size =\"12162048\"]\n  25 [size=\"102679893\", alpha=\"0.00\", expect_size=\"30803968\"] \n  25 -> 29 [size =\"30803968\"]\n  26 [size=\"125842773\", alpha=\"0.01\", expect_size=\"37752832\"] \n  26 -> 28 [size =\"37752832\"]\n  27 [size=\"51312640\", alpha=\"0.13\", expect_size=\"15393792\"] \n  27 -> 28 [size =\"15393792\"]\n  27 -> 29 [size =\"15393792\"]\n  28 [size=\"68911787\", alpha=\"0.14\", expect_size=\"20673536\"] \n  28 -> 30 [size =\"20673536\"]\n  29 [size=\"124525227\", alpha=\"0.10\", expect_size=\"37357568\"] \n  29 -> 31 [size =\"37357568\"]\n  29 -> 32 [size =\"37357568\"]\n  30 [size=\"48837973\", alpha=\"0.16\", expect_size=\"14651392\"] \n  30 -> 35 [size =\"14651392\"]\n  31 [size=\"105925973\", alpha=\"0.04\", expect_size=\"31777792\"] \n  31 -> 33 [size =\"31777792\"]\n  32 [size=\"99536213\", alpha=\"0.04\", expect_size=\"29860864\"] \n  32 -> 34 [size =\"29860864\"]\n  32 -> 35 [size =\"29860864\"]\n  33 [size=\"112585387\", alpha=\"0.01\", expect_size=\"33775616\"] \n  33 -> 36 [size =\"33775616\"]\n  33 -> 38 [size =\"33775616\"]\n  34 [size=\"109469013\", alpha=\"0.12\", expect_size=\"32840704\"] \n  34 -> 36 [size =\"32840704\"]\n  34 -> 37 [size =\"32840704\"]\n  34 -> 38 [size =\"32840704\"]\n  35 [size=\"146244267\", alpha=\"0.15\", expect_size=\"43873280\"] \n  35 -> 37 [size =\"43873280\"]\n  36 [size=\"147135147\", alpha=\"0.14\", expect_size=\"44140544\"] \n  37 [size=\"156863147\", alpha=\"0.14\", expect_size=\"47058944\"] \n  38 [size=\"103362560\", alpha=\"0.11\", expect_size=\"31008768\"] \n  38 -> 39 [size =\"31008768\"]\n  38 -> 40 [size =\"31008768\"]\n  39 [size=\"58651307\", alpha=\"0.02\", expect_size=\"17595392\"] \n  40 [size=\"140083200\", alpha=\"0.15\", expect_size=\"42024960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45060096\", alpha=\"0.13\", expect_size=\"22530048\"] \n  1 -> 37 [size =\"22530048\"]\n  1 -> 40 [size =\"22530048\"]\n  2 [size=\"44654592\", alpha=\"0.10\", expect_size=\"22327296\"] \n  2 -> 37 [size =\"22327296\"]\n  2 -> 40 [size =\"22327296\"]\n  3 [size=\"48642048\", alpha=\"0.20\", expect_size=\"24321024\"] \n  4 [size=\"65173504\", alpha=\"0.10\", expect_size=\"32586752\"] \n  4 -> 40 [size =\"32586752\"]\n  5 [size=\"63260672\", alpha=\"0.18\", expect_size=\"31630336\"] \n  5 -> 40 [size =\"31630336\"]\n  6 [size=\"68370432\", alpha=\"0.02\", expect_size=\"34185216\"] \n  6 -> 38 [size =\"34185216\"]\n  7 [size=\"45615104\", alpha=\"0.13\", expect_size=\"22807552\"] \n  7 -> 38 [size =\"22807552\"]\n  8 [size=\"66840576\", alpha=\"0.13\", expect_size=\"33420288\"] \n  8 -> 38 [size =\"33420288\"]\n  8 -> 40 [size =\"33420288\"]\n  9 [size=\"38182912\", alpha=\"0.09\", expect_size=\"19091456\"] \n  10 [size=\"98256896\", alpha=\"0.06\", expect_size=\"49128448\"] \n  10 -> 38 [size =\"49128448\"]\n  10 -> 39 [size =\"49128448\"]\n  11 [size=\"19089408\", alpha=\"0.03\", expect_size=\"9544704\"] \n  11 -> 38 [size =\"9544704\"]\n  11 -> 39 [size =\"9544704\"]\n  12 [size=\"82507776\", alpha=\"0.00\", expect_size=\"41253888\"] \n  12 -> 40 [size =\"41253888\"]\n  13 [size=\"36438016\", alpha=\"0.12\", expect_size=\"18219008\"] \n  13 -> 38 [size =\"18219008\"]\n  13 -> 40 [size =\"18219008\"]\n  14 [size=\"34170880\", alpha=\"0.02\", expect_size=\"17085440\"] \n  14 -> 38 [size =\"17085440\"]\n  15 [size=\"81348608\", alpha=\"0.06\", expect_size=\"40674304\"] \n  16 [size=\"72380416\", alpha=\"0.14\", expect_size=\"36190208\"] \n  16 -> 40 [size =\"36190208\"]\n  17 [size=\"79998976\", alpha=\"0.12\", expect_size=\"39999488\"] \n  17 -> 38 [size =\"39999488\"]\n  17 -> 39 [size =\"39999488\"]\n  18 [size=\"47794176\", alpha=\"0.18\", expect_size=\"23897088\"] \n  18 -> 38 [size =\"23897088\"]\n  19 [size=\"13473792\", alpha=\"0.17\", expect_size=\"6736896\"] \n  19 -> 38 [size =\"6736896\"]\n  20 [size=\"55562240\", alpha=\"0.08\", expect_size=\"27781120\"] \n  20 -> 38 [size =\"27781120\"]\n  21 [size=\"83050496\", alpha=\"0.06\", expect_size=\"41525248\"] \n  21 -> 38 [size =\"41525248\"]\n  22 [size=\"96325632\", alpha=\"0.11\", expect_size=\"48162816\"] \n  22 -> 38 [size =\"48162816\"]\n  23 [size=\"98359296\", alpha=\"0.04\", expect_size=\"49179648\"] \n  23 -> 37 [size =\"49179648\"]\n  23 -> 38 [size =\"49179648\"]\n  23 -> 39 [size =\"49179648\"]\n  24 [size=\"62322688\", alpha=\"0.09\", expect_size=\"31161344\"] \n  24 -> 38 [size =\"31161344\"]\n  24 -> 40 [size =\"31161344\"]\n  25 [size=\"72171520\", alpha=\"0.05\", expect_size=\"36085760\"] \n  26 [size=\"98752512\", alpha=\"0.13\", expect_size=\"49376256\"] \n  27 [size=\"70690816\", alpha=\"0.09\", expect_size=\"35345408\"] \n  27 -> 40 [size =\"35345408\"]\n  28 [size=\"32360448\", alpha=\"0.17\", expect_size=\"16180224\"] \n  28 -> 39 [size =\"16180224\"]\n  29 [size=\"24891392\", alpha=\"0.11\", expect_size=\"12445696\"] \n  30 [size=\"104542208\", alpha=\"0.03\", expect_size=\"52271104\"] \n  30 -> 39 [size =\"52271104\"]\n  31 [size=\"45797376\", alpha=\"0.17\", expect_size=\"22898688\"] \n  31 -> 38 [size =\"22898688\"]\n  31 -> 39 [size =\"22898688\"]\n  31 -> 40 [size =\"22898688\"]\n  32 [size=\"71976960\", alpha=\"0.06\", expect_size=\"35988480\"] \n  32 -> 40 [size =\"35988480\"]\n  33 [size=\"28506112\", alpha=\"0.01\", expect_size=\"14253056\"] \n  33 -> 38 [size =\"14253056\"]\n  33 -> 39 [size =\"14253056\"]\n  33 -> 40 [size =\"14253056\"]\n  34 [size=\"47915008\", alpha=\"0.01\", expect_size=\"23957504\"] \n  34 -> 39 [size =\"23957504\"]\n  34 -> 40 [size =\"23957504\"]\n  34 -> 40 [size =\"23957504\"]\n  35 [size=\"90519552\", alpha=\"0.16\", expect_size=\"45259776\"] \n  35 -> 38 [size =\"45259776\"]\n  36 [size=\"20353024\", alpha=\"0.04\", expect_size=\"10176512\"] \n  36 -> 37 [size =\"10176512\"]\n  37 [size=\"84043776\", alpha=\"0.06\", expect_size=\"42021888\"] \n  38 [size=\"33609728\", alpha=\"0.17\", expect_size=\"16804864\"] \n  39 [size=\"19777536\", alpha=\"0.08\", expect_size=\"9888768\"] \n  40 [size=\"70244352\", alpha=\"0.09\", expect_size=\"35122176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76308480\", alpha=\"0.02\", expect_size=\"30523392\"] \n  1 -> 14 [size =\"30523392\"]\n  1 -> 15 [size =\"30523392\"]\n  1 -> 23 [size =\"30523392\"]\n  2 [size=\"83504640\", alpha=\"0.05\", expect_size=\"33401856\"] \n  2 -> 12 [size =\"33401856\"]\n  2 -> 13 [size =\"33401856\"]\n  2 -> 15 [size =\"33401856\"]\n  2 -> 24 [size =\"33401856\"]\n  2 -> 25 [size =\"33401856\"]\n  3 [size=\"129763840\", alpha=\"0.06\", expect_size=\"51905536\"] \n  3 -> 12 [size =\"51905536\"]\n  3 -> 15 [size =\"51905536\"]\n  3 -> 16 [size =\"51905536\"]\n  3 -> 17 [size =\"51905536\"]\n  3 -> 18 [size =\"51905536\"]\n  3 -> 23 [size =\"51905536\"]\n  4 [size=\"83461120\", alpha=\"0.12\", expect_size=\"33384448\"] \n  4 -> 19 [size =\"33384448\"]\n  4 -> 21 [size =\"33384448\"]\n  5 [size=\"102745600\", alpha=\"0.16\", expect_size=\"41098240\"] \n  5 -> 17 [size =\"41098240\"]\n  5 -> 21 [size =\"41098240\"]\n  5 -> 25 [size =\"41098240\"]\n  6 [size=\"59658240\", alpha=\"0.20\", expect_size=\"23863296\"] \n  6 -> 12 [size =\"23863296\"]\n  6 -> 14 [size =\"23863296\"]\n  6 -> 15 [size =\"23863296\"]\n  6 -> 22 [size =\"23863296\"]\n  6 -> 24 [size =\"23863296\"]\n  6 -> 25 [size =\"23863296\"]\n  7 [size=\"78328320\", alpha=\"0.15\", expect_size=\"31331328\"] \n  7 -> 12 [size =\"31331328\"]\n  7 -> 17 [size =\"31331328\"]\n  7 -> 18 [size =\"31331328\"]\n  7 -> 22 [size =\"31331328\"]\n  7 -> 23 [size =\"31331328\"]\n  7 -> 25 [size =\"31331328\"]\n  8 [size=\"22709760\", alpha=\"0.06\", expect_size=\"9083904\"] \n  8 -> 12 [size =\"9083904\"]\n  8 -> 14 [size =\"9083904\"]\n  8 -> 20 [size =\"9083904\"]\n  8 -> 22 [size =\"9083904\"]\n  8 -> 23 [size =\"9083904\"]\n  8 -> 24 [size =\"9083904\"]\n  8 -> 25 [size =\"9083904\"]\n  9 [size=\"26677760\", alpha=\"0.15\", expect_size=\"10671104\"] \n  9 -> 12 [size =\"10671104\"]\n  9 -> 17 [size =\"10671104\"]\n  9 -> 22 [size =\"10671104\"]\n  9 -> 23 [size =\"10671104\"]\n  9 -> 25 [size =\"10671104\"]\n  10 [size=\"33648640\", alpha=\"0.04\", expect_size=\"13459456\"] \n  10 -> 12 [size =\"13459456\"]\n  10 -> 17 [size =\"13459456\"]\n  10 -> 22 [size =\"13459456\"]\n  10 -> 24 [size =\"13459456\"]\n  10 -> 25 [size =\"13459456\"]\n  11 [size=\"32007680\", alpha=\"0.00\", expect_size=\"12803072\"] \n  11 -> 22 [size =\"12803072\"]\n  11 -> 23 [size =\"12803072\"]\n  11 -> 25 [size =\"12803072\"]\n  12 [size=\"43648000\", alpha=\"0.10\", expect_size=\"17459200\"] \n  12 -> 26 [size =\"17459200\"]\n  12 -> 27 [size =\"17459200\"]\n  12 -> 28 [size =\"17459200\"]\n  12 -> 32 [size =\"17459200\"]\n  12 -> 35 [size =\"17459200\"]\n  12 -> 36 [size =\"17459200\"]\n  13 [size=\"74424320\", alpha=\"0.18\", expect_size=\"29769728\"] \n  13 -> 28 [size =\"29769728\"]\n  13 -> 32 [size =\"29769728\"]\n  13 -> 37 [size =\"29769728\"]\n  14 [size=\"107786240\", alpha=\"0.19\", expect_size=\"43114496\"] \n  14 -> 28 [size =\"43114496\"]\n  14 -> 29 [size =\"43114496\"]\n  14 -> 30 [size =\"43114496\"]\n  14 -> 32 [size =\"43114496\"]\n  14 -> 35 [size =\"43114496\"]\n  15 [size=\"59343360\", alpha=\"0.12\", expect_size=\"23737344\"] \n  15 -> 26 [size =\"23737344\"]\n  15 -> 28 [size =\"23737344\"]\n  15 -> 29 [size =\"23737344\"]\n  15 -> 30 [size =\"23737344\"]\n  15 -> 32 [size =\"23737344\"]\n  15 -> 35 [size =\"23737344\"]\n  16 [size=\"35614720\", alpha=\"0.12\", expect_size=\"14245888\"] \n  16 -> 29 [size =\"14245888\"]\n  16 -> 30 [size =\"14245888\"]\n  16 -> 32 [size =\"14245888\"]\n  16 -> 33 [size =\"14245888\"]\n  16 -> 35 [size =\"14245888\"]\n  17 [size=\"34365440\", alpha=\"0.18\", expect_size=\"13746176\"] \n  17 -> 26 [size =\"13746176\"]\n  17 -> 28 [size =\"13746176\"]\n  17 -> 29 [size =\"13746176\"]\n  17 -> 30 [size =\"13746176\"]\n  18 [size=\"125660160\", alpha=\"0.02\", expect_size=\"50264064\"] \n  18 -> 27 [size =\"50264064\"]\n  18 -> 29 [size =\"50264064\"]\n  18 -> 32 [size =\"50264064\"]\n  18 -> 35 [size =\"50264064\"]\n  18 -> 36 [size =\"50264064\"]\n  19 [size=\"43010560\", alpha=\"0.03\", expect_size=\"17204224\"] \n  19 -> 27 [size =\"17204224\"]\n  19 -> 29 [size =\"17204224\"]\n  19 -> 30 [size =\"17204224\"]\n  19 -> 32 [size =\"17204224\"]\n  20 [size=\"13253120\", alpha=\"0.04\", expect_size=\"5301248\"] \n  20 -> 27 [size =\"5301248\"]\n  20 -> 28 [size =\"5301248\"]\n  20 -> 29 [size =\"5301248\"]\n  20 -> 34 [size =\"5301248\"]\n  21 [size=\"38691840\", alpha=\"0.15\", expect_size=\"15476736\"] \n  21 -> 27 [size =\"15476736\"]\n  21 -> 29 [size =\"15476736\"]\n  21 -> 32 [size =\"15476736\"]\n  21 -> 33 [size =\"15476736\"]\n  21 -> 34 [size =\"15476736\"]\n  22 [size=\"40445440\", alpha=\"0.18\", expect_size=\"16178176\"] \n  22 -> 26 [size =\"16178176\"]\n  22 -> 27 [size =\"16178176\"]\n  22 -> 30 [size =\"16178176\"]\n  22 -> 34 [size =\"16178176\"]\n  23 [size=\"102346240\", alpha=\"0.01\", expect_size=\"40938496\"] \n  23 -> 27 [size =\"40938496\"]\n  23 -> 29 [size =\"40938496\"]\n  23 -> 30 [size =\"40938496\"]\n  24 [size=\"93091840\", alpha=\"0.16\", expect_size=\"37236736\"] \n  24 -> 27 [size =\"37236736\"]\n  24 -> 28 [size =\"37236736\"]\n  24 -> 29 [size =\"37236736\"]\n  24 -> 30 [size =\"37236736\"]\n  25 [size=\"87923200\", alpha=\"0.06\", expect_size=\"35169280\"] \n  25 -> 26 [size =\"35169280\"]\n  25 -> 27 [size =\"35169280\"]\n  25 -> 28 [size =\"35169280\"]\n  25 -> 31 [size =\"35169280\"]\n  25 -> 34 [size =\"35169280\"]\n  25 -> 36 [size =\"35169280\"]\n  26 [size=\"39413760\", alpha=\"0.03\", expect_size=\"15765504\"] \n  27 [size=\"109552640\", alpha=\"0.12\", expect_size=\"43821056\"] \n  28 [size=\"100185600\", alpha=\"0.03\", expect_size=\"40074240\"] \n  28 -> 38 [size =\"40074240\"]\n  29 [size=\"114071040\", alpha=\"0.16\", expect_size=\"45628416\"] \n  29 -> 38 [size =\"45628416\"]\n  29 -> 39 [size =\"45628416\"]\n  30 [size=\"14556160\", alpha=\"0.12\", expect_size=\"5822464\"] \n  30 -> 38 [size =\"5822464\"]\n  30 -> 39 [size =\"5822464\"]\n  30 -> 40 [size =\"5822464\"]\n  31 [size=\"35637760\", alpha=\"0.12\", expect_size=\"14255104\"] \n  31 -> 38 [size =\"14255104\"]\n  31 -> 39 [size =\"14255104\"]\n  32 [size=\"122557440\", alpha=\"0.17\", expect_size=\"49022976\"] \n  32 -> 38 [size =\"49022976\"]\n  33 [size=\"109780480\", alpha=\"0.12\", expect_size=\"43912192\"] \n  33 -> 38 [size =\"43912192\"]\n  33 -> 40 [size =\"43912192\"]\n  34 [size=\"113963520\", alpha=\"0.03\", expect_size=\"45585408\"] \n  34 -> 40 [size =\"45585408\"]\n  35 [size=\"87500800\", alpha=\"0.02\", expect_size=\"35000320\"] \n  35 -> 40 [size =\"35000320\"]\n  36 [size=\"120028160\", alpha=\"0.05\", expect_size=\"48011264\"] \n  36 -> 39 [size =\"48011264\"]\n  36 -> 40 [size =\"48011264\"]\n  37 [size=\"22167040\", alpha=\"0.11\", expect_size=\"8866816\"] \n  37 -> 38 [size =\"8866816\"]\n  37 -> 39 [size =\"8866816\"]\n  38 [size=\"95075840\", alpha=\"0.17\", expect_size=\"38030336\"] \n  39 [size=\"112419840\", alpha=\"0.07\", expect_size=\"44967936\"] \n  40 [size=\"87777280\", alpha=\"0.18\", expect_size=\"35110912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172779520\", alpha=\"0.03\", expect_size=\"51833856\"] \n  1 -> 2 [size =\"51833856\"]\n  2 [size=\"29941760\", alpha=\"0.03\", expect_size=\"8982528\"] \n  2 -> 3 [size =\"8982528\"]\n  3 [size=\"111093760\", alpha=\"0.07\", expect_size=\"33328128\"] \n  3 -> 4 [size =\"33328128\"]\n  4 [size=\"62914560\", alpha=\"0.20\", expect_size=\"18874368\"] \n  4 -> 5 [size =\"18874368\"]\n  5 [size=\"79800320\", alpha=\"0.01\", expect_size=\"23940096\"] \n  5 -> 6 [size =\"23940096\"]\n  6 [size=\"118138880\", alpha=\"0.04\", expect_size=\"35441664\"] \n  6 -> 7 [size =\"35441664\"]\n  7 [size=\"71297707\", alpha=\"0.17\", expect_size=\"21389312\"] \n  7 -> 8 [size =\"21389312\"]\n  8 [size=\"148814507\", alpha=\"0.07\", expect_size=\"44644352\"] \n  8 -> 9 [size =\"44644352\"]\n  9 [size=\"80749227\", alpha=\"0.14\", expect_size=\"24224768\"] \n  9 -> 10 [size =\"24224768\"]\n  10 [size=\"129419947\", alpha=\"0.06\", expect_size=\"38825984\"] \n  10 -> 11 [size =\"38825984\"]\n  11 [size=\"40031573\", alpha=\"0.18\", expect_size=\"12009472\"] \n  11 -> 12 [size =\"12009472\"]\n  12 [size=\"64225280\", alpha=\"0.04\", expect_size=\"19267584\"] \n  12 -> 13 [size =\"19267584\"]\n  13 [size=\"91501227\", alpha=\"0.02\", expect_size=\"27450368\"] \n  13 -> 14 [size =\"27450368\"]\n  14 [size=\"144438613\", alpha=\"0.15\", expect_size=\"43331584\"] \n  14 -> 15 [size =\"43331584\"]\n  15 [size=\"142796800\", alpha=\"0.18\", expect_size=\"42839040\"] \n  15 -> 16 [size =\"42839040\"]\n  16 [size=\"152384853\", alpha=\"0.11\", expect_size=\"45715456\"] \n  16 -> 17 [size =\"45715456\"]\n  17 [size=\"23650987\", alpha=\"0.01\", expect_size=\"7095296\"] \n  17 -> 18 [size =\"7095296\"]\n  18 [size=\"157825707\", alpha=\"0.13\", expect_size=\"47347712\"] \n  18 -> 19 [size =\"47347712\"]\n  19 [size=\"53391360\", alpha=\"0.09\", expect_size=\"16017408\"] \n  19 -> 20 [size =\"16017408\"]\n  20 [size=\"167424000\", alpha=\"0.06\", expect_size=\"50227200\"] \n  20 -> 21 [size =\"50227200\"]\n  21 [size=\"57907200\", alpha=\"0.03\", expect_size=\"17372160\"] \n  21 -> 22 [size =\"17372160\"]\n  22 [size=\"41256960\", alpha=\"0.02\", expect_size=\"12377088\"] \n  22 -> 23 [size =\"12377088\"]\n  23 [size=\"71069013\", alpha=\"0.12\", expect_size=\"21320704\"] \n  23 -> 24 [size =\"21320704\"]\n  24 [size=\"89070933\", alpha=\"0.08\", expect_size=\"26721280\"] \n  24 -> 25 [size =\"26721280\"]\n  25 [size=\"52251307\", alpha=\"0.13\", expect_size=\"15675392\"] \n  25 -> 26 [size =\"15675392\"]\n  26 [size=\"34358613\", alpha=\"0.10\", expect_size=\"10307584\"] \n  26 -> 27 [size =\"10307584\"]\n  27 [size=\"122368000\", alpha=\"0.13\", expect_size=\"36710400\"] \n  27 -> 28 [size =\"36710400\"]\n  28 [size=\"130065067\", alpha=\"0.14\", expect_size=\"39019520\"] \n  28 -> 29 [size =\"39019520\"]\n  29 [size=\"72471893\", alpha=\"0.03\", expect_size=\"21741568\"] \n  29 -> 30 [size =\"21741568\"]\n  30 [size=\"142417920\", alpha=\"0.05\", expect_size=\"42725376\"] \n  30 -> 31 [size =\"42725376\"]\n  31 [size=\"33437013\", alpha=\"0.11\", expect_size=\"10031104\"] \n  31 -> 32 [size =\"10031104\"]\n  32 [size=\"58122240\", alpha=\"0.03\", expect_size=\"17436672\"] \n  32 -> 33 [size =\"17436672\"]\n  33 [size=\"71652693\", alpha=\"0.04\", expect_size=\"21495808\"] \n  33 -> 34 [size =\"21495808\"]\n  34 [size=\"167652693\", alpha=\"0.01\", expect_size=\"50295808\"] \n  34 -> 35 [size =\"50295808\"]\n  35 [size=\"76984320\", alpha=\"0.14\", expect_size=\"23095296\"] \n  35 -> 36 [size =\"23095296\"]\n  36 [size=\"19258027\", alpha=\"0.04\", expect_size=\"5777408\"] \n  36 -> 37 [size =\"5777408\"]\n  37 [size=\"95143253\", alpha=\"0.15\", expect_size=\"28542976\"] \n  37 -> 38 [size =\"28542976\"]\n  38 [size=\"43888640\", alpha=\"0.04\", expect_size=\"13166592\"] \n  38 -> 39 [size =\"13166592\"]\n  39 [size=\"154115413\", alpha=\"0.18\", expect_size=\"46234624\"] \n  39 -> 40 [size =\"46234624\"]\n  40 [size=\"174530560\", alpha=\"0.10\", expect_size=\"52359168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44843008\", alpha=\"0.07\", expect_size=\"22421504\"] \n  1 -> 2 [size =\"22421504\"]\n  2 [size=\"81135616\", alpha=\"0.17\", expect_size=\"40567808\"] \n  2 -> 3 [size =\"40567808\"]\n  3 [size=\"26767360\", alpha=\"0.00\", expect_size=\"13383680\"] \n  3 -> 4 [size =\"13383680\"]\n  4 [size=\"33112064\", alpha=\"0.06\", expect_size=\"16556032\"] \n  4 -> 5 [size =\"16556032\"]\n  5 [size=\"52101120\", alpha=\"0.12\", expect_size=\"26050560\"] \n  5 -> 6 [size =\"26050560\"]\n  6 [size=\"69683200\", alpha=\"0.02\", expect_size=\"34841600\"] \n  6 -> 7 [size =\"34841600\"]\n  7 [size=\"29503488\", alpha=\"0.18\", expect_size=\"14751744\"] \n  7 -> 8 [size =\"14751744\"]\n  8 [size=\"48683008\", alpha=\"0.16\", expect_size=\"24341504\"] \n  8 -> 9 [size =\"24341504\"]\n  9 [size=\"37332992\", alpha=\"0.10\", expect_size=\"18666496\"] \n  9 -> 10 [size =\"18666496\"]\n  10 [size=\"90159104\", alpha=\"0.09\", expect_size=\"45079552\"] \n  10 -> 11 [size =\"45079552\"]\n  11 [size=\"70199296\", alpha=\"0.19\", expect_size=\"35099648\"] \n  11 -> 12 [size =\"35099648\"]\n  12 [size=\"101249024\", alpha=\"0.14\", expect_size=\"50624512\"] \n  12 -> 13 [size =\"50624512\"]\n  13 [size=\"84760576\", alpha=\"0.19\", expect_size=\"42380288\"] \n  13 -> 14 [size =\"42380288\"]\n  14 [size=\"85606400\", alpha=\"0.15\", expect_size=\"42803200\"] \n  14 -> 15 [size =\"42803200\"]\n  15 [size=\"19247104\", alpha=\"0.08\", expect_size=\"9623552\"] \n  15 -> 16 [size =\"9623552\"]\n  16 [size=\"75702272\", alpha=\"0.10\", expect_size=\"37851136\"] \n  16 -> 17 [size =\"37851136\"]\n  17 [size=\"87324672\", alpha=\"0.12\", expect_size=\"43662336\"] \n  17 -> 18 [size =\"43662336\"]\n  18 [size=\"78209024\", alpha=\"0.03\", expect_size=\"39104512\"] \n  18 -> 19 [size =\"39104512\"]\n  19 [size=\"60893184\", alpha=\"0.09\", expect_size=\"30446592\"] \n  19 -> 20 [size =\"30446592\"]\n  20 [size=\"13504512\", alpha=\"0.10\", expect_size=\"6752256\"] \n  20 -> 21 [size =\"6752256\"]\n  21 [size=\"56129536\", alpha=\"0.19\", expect_size=\"28064768\"] \n  21 -> 22 [size =\"28064768\"]\n  22 [size=\"49256448\", alpha=\"0.02\", expect_size=\"24628224\"] \n  22 -> 23 [size =\"24628224\"]\n  23 [size=\"20953088\", alpha=\"0.09\", expect_size=\"10476544\"] \n  23 -> 24 [size =\"10476544\"]\n  24 [size=\"16455680\", alpha=\"0.01\", expect_size=\"8227840\"] \n  24 -> 25 [size =\"8227840\"]\n  25 [size=\"86138880\", alpha=\"0.01\", expect_size=\"43069440\"] \n  25 -> 26 [size =\"43069440\"]\n  26 [size=\"27555840\", alpha=\"0.15\", expect_size=\"13777920\"] \n  26 -> 27 [size =\"13777920\"]\n  27 [size=\"75479040\", alpha=\"0.12\", expect_size=\"37739520\"] \n  27 -> 28 [size =\"37739520\"]\n  28 [size=\"38580224\", alpha=\"0.17\", expect_size=\"19290112\"] \n  28 -> 29 [size =\"19290112\"]\n  29 [size=\"54947840\", alpha=\"0.08\", expect_size=\"27473920\"] \n  29 -> 30 [size =\"27473920\"]\n  30 [size=\"98854912\", alpha=\"0.15\", expect_size=\"49427456\"] \n  30 -> 31 [size =\"49427456\"]\n  31 [size=\"53991424\", alpha=\"0.16\", expect_size=\"26995712\"] \n  31 -> 32 [size =\"26995712\"]\n  32 [size=\"49086464\", alpha=\"0.15\", expect_size=\"24543232\"] \n  32 -> 33 [size =\"24543232\"]\n  33 [size=\"60422144\", alpha=\"0.11\", expect_size=\"30211072\"] \n  33 -> 34 [size =\"30211072\"]\n  34 [size=\"104280064\", alpha=\"0.02\", expect_size=\"52140032\"] \n  34 -> 35 [size =\"52140032\"]\n  35 [size=\"14542848\", alpha=\"0.15\", expect_size=\"7271424\"] \n  35 -> 36 [size =\"7271424\"]\n  36 [size=\"21571584\", alpha=\"0.02\", expect_size=\"10785792\"] \n  36 -> 37 [size =\"10785792\"]\n  37 [size=\"90191872\", alpha=\"0.06\", expect_size=\"45095936\"] \n  37 -> 38 [size =\"45095936\"]\n  38 [size=\"50677760\", alpha=\"0.03\", expect_size=\"25338880\"] \n  38 -> 39 [size =\"25338880\"]\n  39 [size=\"35600384\", alpha=\"0.12\", expect_size=\"17800192\"] \n  39 -> 40 [size =\"17800192\"]\n  40 [size=\"71806976\", alpha=\"0.00\", expect_size=\"35903488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77285376\", alpha=\"0.17\", expect_size=\"38642688\"] \n  1 -> 3 [size =\"38642688\"]\n  1 -> 4 [size =\"38642688\"]\n  2 [size=\"98031616\", alpha=\"0.05\", expect_size=\"49015808\"] \n  2 -> 4 [size =\"49015808\"]\n  2 -> 5 [size =\"49015808\"]\n  3 [size=\"14077952\", alpha=\"0.09\", expect_size=\"7038976\"] \n  3 -> 7 [size =\"7038976\"]\n  3 -> 8 [size =\"7038976\"]\n  4 [size=\"51830784\", alpha=\"0.03\", expect_size=\"25915392\"] \n  4 -> 6 [size =\"25915392\"]\n  4 -> 8 [size =\"25915392\"]\n  5 [size=\"95481856\", alpha=\"0.07\", expect_size=\"47740928\"] \n  5 -> 8 [size =\"47740928\"]\n  6 [size=\"91500544\", alpha=\"0.15\", expect_size=\"45750272\"] \n  6 -> 10 [size =\"45750272\"]\n  7 [size=\"104220672\", alpha=\"0.10\", expect_size=\"52110336\"] \n  7 -> 10 [size =\"52110336\"]\n  8 [size=\"91072512\", alpha=\"0.05\", expect_size=\"45536256\"] \n  8 -> 9 [size =\"45536256\"]\n  9 [size=\"94676992\", alpha=\"0.19\", expect_size=\"47338496\"] \n  9 -> 11 [size =\"47338496\"]\n  9 -> 12 [size =\"47338496\"]\n  10 [size=\"37865472\", alpha=\"0.06\", expect_size=\"18932736\"] \n  10 -> 12 [size =\"18932736\"]\n  11 [size=\"69822464\", alpha=\"0.15\", expect_size=\"34911232\"] \n  11 -> 13 [size =\"34911232\"]\n  12 [size=\"55916544\", alpha=\"0.11\", expect_size=\"27958272\"] \n  12 -> 13 [size =\"27958272\"]\n  12 -> 14 [size =\"27958272\"]\n  13 [size=\"79904768\", alpha=\"0.03\", expect_size=\"39952384\"] \n  13 -> 15 [size =\"39952384\"]\n  13 -> 16 [size =\"39952384\"]\n  13 -> 17 [size =\"39952384\"]\n  14 [size=\"26918912\", alpha=\"0.12\", expect_size=\"13459456\"] \n  14 -> 16 [size =\"13459456\"]\n  14 -> 17 [size =\"13459456\"]\n  15 [size=\"40865792\", alpha=\"0.01\", expect_size=\"20432896\"] \n  15 -> 18 [size =\"20432896\"]\n  15 -> 20 [size =\"20432896\"]\n  16 [size=\"74133504\", alpha=\"0.05\", expect_size=\"37066752\"] \n  16 -> 18 [size =\"37066752\"]\n  16 -> 19 [size =\"37066752\"]\n  16 -> 20 [size =\"37066752\"]\n  17 [size=\"50894848\", alpha=\"0.11\", expect_size=\"25447424\"] \n  17 -> 18 [size =\"25447424\"]\n  18 [size=\"99217408\", alpha=\"0.14\", expect_size=\"49608704\"] \n  18 -> 22 [size =\"49608704\"]\n  19 [size=\"30631936\", alpha=\"0.05\", expect_size=\"15315968\"] \n  19 -> 23 [size =\"15315968\"]\n  20 [size=\"26368000\", alpha=\"0.05\", expect_size=\"13184000\"] \n  20 -> 21 [size =\"13184000\"]\n  20 -> 22 [size =\"13184000\"]\n  21 [size=\"53850112\", alpha=\"0.19\", expect_size=\"26925056\"] \n  21 -> 24 [size =\"26925056\"]\n  21 -> 25 [size =\"26925056\"]\n  21 -> 26 [size =\"26925056\"]\n  22 [size=\"29028352\", alpha=\"0.11\", expect_size=\"14514176\"] \n  22 -> 24 [size =\"14514176\"]\n  23 [size=\"79738880\", alpha=\"0.04\", expect_size=\"39869440\"] \n  23 -> 24 [size =\"39869440\"]\n  23 -> 26 [size =\"39869440\"]\n  24 [size=\"95967232\", alpha=\"0.06\", expect_size=\"47983616\"] \n  24 -> 27 [size =\"47983616\"]\n  24 -> 28 [size =\"47983616\"]\n  25 [size=\"60526592\", alpha=\"0.07\", expect_size=\"30263296\"] \n  25 -> 27 [size =\"30263296\"]\n  26 [size=\"64759808\", alpha=\"0.04\", expect_size=\"32379904\"] \n  26 -> 27 [size =\"32379904\"]\n  26 -> 28 [size =\"32379904\"]\n  27 [size=\"87840768\", alpha=\"0.01\", expect_size=\"43920384\"] \n  27 -> 29 [size =\"43920384\"]\n  27 -> 30 [size =\"43920384\"]\n  28 [size=\"46620672\", alpha=\"0.15\", expect_size=\"23310336\"] \n  29 [size=\"20051968\", alpha=\"0.07\", expect_size=\"10025984\"] \n  29 -> 31 [size =\"10025984\"]\n  29 -> 32 [size =\"10025984\"]\n  29 -> 33 [size =\"10025984\"]\n  30 [size=\"42184704\", alpha=\"0.05\", expect_size=\"21092352\"] \n  30 -> 31 [size =\"21092352\"]\n  30 -> 32 [size =\"21092352\"]\n  30 -> 33 [size =\"21092352\"]\n  31 [size=\"63528960\", alpha=\"0.15\", expect_size=\"31764480\"] \n  31 -> 34 [size =\"31764480\"]\n  32 [size=\"56514560\", alpha=\"0.15\", expect_size=\"28257280\"] \n  32 -> 34 [size =\"28257280\"]\n  32 -> 35 [size =\"28257280\"]\n  33 [size=\"14313472\", alpha=\"0.10\", expect_size=\"7156736\"] \n  33 -> 34 [size =\"7156736\"]\n  34 [size=\"34895872\", alpha=\"0.08\", expect_size=\"17447936\"] \n  34 -> 36 [size =\"17447936\"]\n  34 -> 37 [size =\"17447936\"]\n  35 [size=\"65234944\", alpha=\"0.13\", expect_size=\"32617472\"] \n  35 -> 36 [size =\"32617472\"]\n  35 -> 37 [size =\"32617472\"]\n  36 [size=\"95952896\", alpha=\"0.11\", expect_size=\"47976448\"] \n  36 -> 38 [size =\"47976448\"]\n  36 -> 39 [size =\"47976448\"]\n  37 [size=\"19326976\", alpha=\"0.18\", expect_size=\"9663488\"] \n  37 -> 38 [size =\"9663488\"]\n  38 [size=\"23461888\", alpha=\"0.04\", expect_size=\"11730944\"] \n  38 -> 40 [size =\"11730944\"]\n  39 [size=\"94576640\", alpha=\"0.13\", expect_size=\"47288320\"] \n  39 -> 40 [size =\"47288320\"]\n  40 [size=\"33746944\", alpha=\"0.06\", expect_size=\"16873472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128795307\", alpha=\"0.17\", expect_size=\"38638592\"] \n  1 -> 4 [size =\"38638592\"]\n  2 [size=\"46431573\", alpha=\"0.18\", expect_size=\"13929472\"] \n  2 -> 5 [size =\"13929472\"]\n  2 -> 6 [size =\"13929472\"]\n  3 [size=\"122835627\", alpha=\"0.02\", expect_size=\"36850688\"] \n  3 -> 5 [size =\"36850688\"]\n  4 [size=\"81950720\", alpha=\"0.07\", expect_size=\"24585216\"] \n  4 -> 8 [size =\"24585216\"]\n  4 -> 9 [size =\"24585216\"]\n  5 [size=\"72345600\", alpha=\"0.03\", expect_size=\"21703680\"] \n  5 -> 7 [size =\"21703680\"]\n  6 [size=\"60590080\", alpha=\"0.01\", expect_size=\"18177024\"] \n  7 [size=\"146445653\", alpha=\"0.02\", expect_size=\"43933696\"] \n  7 -> 10 [size =\"43933696\"]\n  7 -> 12 [size =\"43933696\"]\n  8 [size=\"65508693\", alpha=\"0.11\", expect_size=\"19652608\"] \n  9 [size=\"55504213\", alpha=\"0.05\", expect_size=\"16651264\"] \n  9 -> 10 [size =\"16651264\"]\n  9 -> 11 [size =\"16651264\"]\n  10 [size=\"132703573\", alpha=\"0.04\", expect_size=\"39811072\"] \n  11 [size=\"95450453\", alpha=\"0.19\", expect_size=\"28635136\"] \n  11 -> 13 [size =\"28635136\"]\n  11 -> 14 [size =\"28635136\"]\n  12 [size=\"70376107\", alpha=\"0.00\", expect_size=\"21112832\"] \n  12 -> 14 [size =\"21112832\"]\n  13 [size=\"57501013\", alpha=\"0.16\", expect_size=\"17250304\"] \n  14 [size=\"73857707\", alpha=\"0.03\", expect_size=\"22157312\"] \n  14 -> 15 [size =\"22157312\"]\n  14 -> 16 [size =\"22157312\"]\n  15 [size=\"129624747\", alpha=\"0.14\", expect_size=\"38887424\"] \n  15 -> 18 [size =\"38887424\"]\n  16 [size=\"155450027\", alpha=\"0.20\", expect_size=\"46635008\"] \n  16 -> 17 [size =\"46635008\"]\n  17 [size=\"163229013\", alpha=\"0.06\", expect_size=\"48968704\"] \n  18 [size=\"23313067\", alpha=\"0.12\", expect_size=\"6993920\"] \n  18 -> 19 [size =\"6993920\"]\n  18 -> 20 [size =\"6993920\"]\n  18 -> 21 [size =\"6993920\"]\n  19 [size=\"111144960\", alpha=\"0.08\", expect_size=\"33343488\"] \n  19 -> 23 [size =\"33343488\"]\n  20 [size=\"149405013\", alpha=\"0.05\", expect_size=\"44821504\"] \n  20 -> 22 [size =\"44821504\"]\n  21 [size=\"23920640\", alpha=\"0.16\", expect_size=\"7176192\"] \n  21 -> 23 [size =\"7176192\"]\n  22 [size=\"171557547\", alpha=\"0.11\", expect_size=\"51467264\"] \n  22 -> 25 [size =\"51467264\"]\n  22 -> 26 [size =\"51467264\"]\n  23 [size=\"173312000\", alpha=\"0.19\", expect_size=\"51993600\"] \n  23 -> 24 [size =\"51993600\"]\n  24 [size=\"140557653\", alpha=\"0.15\", expect_size=\"42167296\"] \n  24 -> 28 [size =\"42167296\"]\n  25 [size=\"164154027\", alpha=\"0.18\", expect_size=\"49246208\"] \n  25 -> 27 [size =\"49246208\"]\n  25 -> 29 [size =\"49246208\"]\n  26 [size=\"113773227\", alpha=\"0.07\", expect_size=\"34131968\"] \n  26 -> 27 [size =\"34131968\"]\n  26 -> 29 [size =\"34131968\"]\n  27 [size=\"112878933\", alpha=\"0.12\", expect_size=\"33863680\"] \n  27 -> 31 [size =\"33863680\"]\n  28 [size=\"162170880\", alpha=\"0.03\", expect_size=\"48651264\"] \n  29 [size=\"96976213\", alpha=\"0.19\", expect_size=\"29092864\"] \n  29 -> 30 [size =\"29092864\"]\n  29 -> 32 [size =\"29092864\"]\n  30 [size=\"162720427\", alpha=\"0.10\", expect_size=\"48816128\"] \n  30 -> 33 [size =\"48816128\"]\n  30 -> 34 [size =\"48816128\"]\n  31 [size=\"45765973\", alpha=\"0.10\", expect_size=\"13729792\"] \n  32 [size=\"172008107\", alpha=\"0.17\", expect_size=\"51602432\"] \n  32 -> 34 [size =\"51602432\"]\n  33 [size=\"98542933\", alpha=\"0.10\", expect_size=\"29562880\"] \n  34 [size=\"88023040\", alpha=\"0.09\", expect_size=\"26406912\"] \n  34 -> 35 [size =\"26406912\"]\n  34 -> 36 [size =\"26406912\"]\n  35 [size=\"47629653\", alpha=\"0.03\", expect_size=\"14288896\"] \n  35 -> 38 [size =\"14288896\"]\n  36 [size=\"32245760\", alpha=\"0.15\", expect_size=\"9673728\"] \n  36 -> 37 [size =\"9673728\"]\n  36 -> 39 [size =\"9673728\"]\n  37 [size=\"84978347\", alpha=\"0.05\", expect_size=\"25493504\"] \n  38 [size=\"20234240\", alpha=\"0.15\", expect_size=\"6070272\"] \n  39 [size=\"43332267\", alpha=\"0.18\", expect_size=\"12999680\"] \n  39 -> 40 [size =\"12999680\"]\n  40 [size=\"35017387\", alpha=\"0.17\", expect_size=\"10505216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56446976\", alpha=\"0.07\", expect_size=\"28223488\"] \n  1 -> 26 [size =\"28223488\"]\n  1 -> 27 [size =\"28223488\"]\n  2 [size=\"57546752\", alpha=\"0.11\", expect_size=\"28773376\"] \n  2 -> 28 [size =\"28773376\"]\n  2 -> 29 [size =\"28773376\"]\n  2 -> 35 [size =\"28773376\"]\n  2 -> 36 [size =\"28773376\"]\n  2 -> 38 [size =\"28773376\"]\n  3 [size=\"62806016\", alpha=\"0.11\", expect_size=\"31403008\"] \n  3 -> 34 [size =\"31403008\"]\n  3 -> 36 [size =\"31403008\"]\n  3 -> 37 [size =\"31403008\"]\n  4 [size=\"10815488\", alpha=\"0.02\", expect_size=\"5407744\"] \n  4 -> 28 [size =\"5407744\"]\n  4 -> 30 [size =\"5407744\"]\n  4 -> 34 [size =\"5407744\"]\n  5 [size=\"98840576\", alpha=\"0.01\", expect_size=\"49420288\"] \n  5 -> 28 [size =\"49420288\"]\n  5 -> 29 [size =\"49420288\"]\n  5 -> 30 [size =\"49420288\"]\n  5 -> 31 [size =\"49420288\"]\n  5 -> 34 [size =\"49420288\"]\n  5 -> 35 [size =\"49420288\"]\n  6 [size=\"34856960\", alpha=\"0.10\", expect_size=\"17428480\"] \n  6 -> 26 [size =\"17428480\"]\n  6 -> 27 [size =\"17428480\"]\n  6 -> 31 [size =\"17428480\"]\n  7 [size=\"77436928\", alpha=\"0.01\", expect_size=\"38718464\"] \n  7 -> 26 [size =\"38718464\"]\n  7 -> 27 [size =\"38718464\"]\n  7 -> 35 [size =\"38718464\"]\n  7 -> 36 [size =\"38718464\"]\n  7 -> 37 [size =\"38718464\"]\n  8 [size=\"11786240\", alpha=\"0.07\", expect_size=\"5893120\"] \n  8 -> 27 [size =\"5893120\"]\n  8 -> 27 [size =\"5893120\"]\n  8 -> 36 [size =\"5893120\"]\n  8 -> 38 [size =\"5893120\"]\n  8 -> 39 [size =\"5893120\"]\n  9 [size=\"35704832\", alpha=\"0.10\", expect_size=\"17852416\"] \n  9 -> 34 [size =\"17852416\"]\n  9 -> 36 [size =\"17852416\"]\n  9 -> 39 [size =\"17852416\"]\n  10 [size=\"24152064\", alpha=\"0.13\", expect_size=\"12076032\"] \n  10 -> 26 [size =\"12076032\"]\n  10 -> 30 [size =\"12076032\"]\n  10 -> 32 [size =\"12076032\"]\n  10 -> 33 [size =\"12076032\"]\n  10 -> 36 [size =\"12076032\"]\n  11 [size=\"81606656\", alpha=\"0.17\", expect_size=\"40803328\"] \n  11 -> 26 [size =\"40803328\"]\n  11 -> 30 [size =\"40803328\"]\n  11 -> 35 [size =\"40803328\"]\n  12 [size=\"22108160\", alpha=\"0.01\", expect_size=\"11054080\"] \n  12 -> 31 [size =\"11054080\"]\n  12 -> 36 [size =\"11054080\"]\n  13 [size=\"73015296\", alpha=\"0.13\", expect_size=\"36507648\"] \n  13 -> 27 [size =\"36507648\"]\n  13 -> 31 [size =\"36507648\"]\n  13 -> 34 [size =\"36507648\"]\n  13 -> 35 [size =\"36507648\"]\n  14 [size=\"32878592\", alpha=\"0.08\", expect_size=\"16439296\"] \n  14 -> 30 [size =\"16439296\"]\n  14 -> 33 [size =\"16439296\"]\n  14 -> 35 [size =\"16439296\"]\n  15 [size=\"42672128\", alpha=\"0.02\", expect_size=\"21336064\"] \n  15 -> 30 [size =\"21336064\"]\n  15 -> 31 [size =\"21336064\"]\n  15 -> 33 [size =\"21336064\"]\n  15 -> 35 [size =\"21336064\"]\n  15 -> 37 [size =\"21336064\"]\n  15 -> 38 [size =\"21336064\"]\n  16 [size=\"48695296\", alpha=\"0.16\", expect_size=\"24347648\"] \n  16 -> 26 [size =\"24347648\"]\n  16 -> 28 [size =\"24347648\"]\n  16 -> 29 [size =\"24347648\"]\n  16 -> 31 [size =\"24347648\"]\n  16 -> 33 [size =\"24347648\"]\n  16 -> 34 [size =\"24347648\"]\n  16 -> 38 [size =\"24347648\"]\n  17 [size=\"95774720\", alpha=\"0.06\", expect_size=\"47887360\"] \n  17 -> 26 [size =\"47887360\"]\n  17 -> 29 [size =\"47887360\"]\n  17 -> 31 [size =\"47887360\"]\n  17 -> 33 [size =\"47887360\"]\n  17 -> 34 [size =\"47887360\"]\n  17 -> 34 [size =\"47887360\"]\n  17 -> 40 [size =\"47887360\"]\n  18 [size=\"101855232\", alpha=\"0.07\", expect_size=\"50927616\"] \n  18 -> 26 [size =\"50927616\"]\n  18 -> 28 [size =\"50927616\"]\n  18 -> 33 [size =\"50927616\"]\n  18 -> 35 [size =\"50927616\"]\n  19 [size=\"40968192\", alpha=\"0.02\", expect_size=\"20484096\"] \n  19 -> 30 [size =\"20484096\"]\n  19 -> 33 [size =\"20484096\"]\n  19 -> 38 [size =\"20484096\"]\n  20 [size=\"89751552\", alpha=\"0.09\", expect_size=\"44875776\"] \n  20 -> 30 [size =\"44875776\"]\n  20 -> 34 [size =\"44875776\"]\n  20 -> 35 [size =\"44875776\"]\n  20 -> 37 [size =\"44875776\"]\n  21 [size=\"57184256\", alpha=\"0.07\", expect_size=\"28592128\"] \n  21 -> 28 [size =\"28592128\"]\n  21 -> 33 [size =\"28592128\"]\n  21 -> 34 [size =\"28592128\"]\n  21 -> 35 [size =\"28592128\"]\n  22 [size=\"41717760\", alpha=\"0.14\", expect_size=\"20858880\"] \n  22 -> 30 [size =\"20858880\"]\n  22 -> 33 [size =\"20858880\"]\n  22 -> 34 [size =\"20858880\"]\n  22 -> 38 [size =\"20858880\"]\n  23 [size=\"45277184\", alpha=\"0.12\", expect_size=\"22638592\"] \n  23 -> 28 [size =\"22638592\"]\n  23 -> 29 [size =\"22638592\"]\n  23 -> 30 [size =\"22638592\"]\n  23 -> 33 [size =\"22638592\"]\n  23 -> 34 [size =\"22638592\"]\n  24 [size=\"10967040\", alpha=\"0.11\", expect_size=\"5483520\"] \n  24 -> 27 [size =\"5483520\"]\n  24 -> 28 [size =\"5483520\"]\n  24 -> 33 [size =\"5483520\"]\n  24 -> 33 [size =\"5483520\"]\n  24 -> 34 [size =\"5483520\"]\n  24 -> 37 [size =\"5483520\"]\n  25 [size=\"50745344\", alpha=\"0.08\", expect_size=\"25372672\"] \n  25 -> 26 [size =\"25372672\"]\n  25 -> 28 [size =\"25372672\"]\n  25 -> 29 [size =\"25372672\"]\n  25 -> 33 [size =\"25372672\"]\n  25 -> 36 [size =\"25372672\"]\n  25 -> 39 [size =\"25372672\"]\n  26 [size=\"59623424\", alpha=\"0.10\", expect_size=\"29811712\"] \n  27 [size=\"41646080\", alpha=\"0.06\", expect_size=\"20823040\"] \n  28 [size=\"72089600\", alpha=\"0.03\", expect_size=\"36044800\"] \n  29 [size=\"12632064\", alpha=\"0.05\", expect_size=\"6316032\"] \n  30 [size=\"21792768\", alpha=\"0.10\", expect_size=\"10896384\"] \n  31 [size=\"66328576\", alpha=\"0.10\", expect_size=\"33164288\"] \n  32 [size=\"97830912\", alpha=\"0.13\", expect_size=\"48915456\"] \n  33 [size=\"68984832\", alpha=\"0.08\", expect_size=\"34492416\"] \n  34 [size=\"32116736\", alpha=\"0.09\", expect_size=\"16058368\"] \n  35 [size=\"81926144\", alpha=\"0.16\", expect_size=\"40963072\"] \n  36 [size=\"23654400\", alpha=\"0.12\", expect_size=\"11827200\"] \n  37 [size=\"70418432\", alpha=\"0.05\", expect_size=\"35209216\"] \n  38 [size=\"100427776\", alpha=\"0.18\", expect_size=\"50213888\"] \n  39 [size=\"20609024\", alpha=\"0.17\", expect_size=\"10304512\"] \n  40 [size=\"44929024\", alpha=\"0.13\", expect_size=\"22464512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98887680\", alpha=\"0.12\", expect_size=\"49443840\"] \n  1 -> 4 [size =\"49443840\"]\n  2 [size=\"89198592\", alpha=\"0.03\", expect_size=\"44599296\"] \n  2 -> 3 [size =\"44599296\"]\n  3 [size=\"103327744\", alpha=\"0.11\", expect_size=\"51663872\"] \n  3 -> 7 [size =\"51663872\"]\n  4 [size=\"88799232\", alpha=\"0.03\", expect_size=\"44399616\"] \n  4 -> 5 [size =\"44399616\"]\n  4 -> 6 [size =\"44399616\"]\n  5 [size=\"78592000\", alpha=\"0.03\", expect_size=\"39296000\"] \n  5 -> 8 [size =\"39296000\"]\n  5 -> 9 [size =\"39296000\"]\n  6 [size=\"18071552\", alpha=\"0.15\", expect_size=\"9035776\"] \n  6 -> 9 [size =\"9035776\"]\n  7 [size=\"48861184\", alpha=\"0.04\", expect_size=\"24430592\"] \n  8 [size=\"89403392\", alpha=\"0.17\", expect_size=\"44701696\"] \n  8 -> 10 [size =\"44701696\"]\n  9 [size=\"68204544\", alpha=\"0.14\", expect_size=\"34102272\"] \n  9 -> 11 [size =\"34102272\"]\n  9 -> 12 [size =\"34102272\"]\n  10 [size=\"30140416\", alpha=\"0.13\", expect_size=\"15070208\"] \n  10 -> 13 [size =\"15070208\"]\n  10 -> 14 [size =\"15070208\"]\n  11 [size=\"87027712\", alpha=\"0.09\", expect_size=\"43513856\"] \n  11 -> 14 [size =\"43513856\"]\n  12 [size=\"50733056\", alpha=\"0.06\", expect_size=\"25366528\"] \n  12 -> 13 [size =\"25366528\"]\n  13 [size=\"63764480\", alpha=\"0.11\", expect_size=\"31882240\"] \n  13 -> 15 [size =\"31882240\"]\n  13 -> 16 [size =\"31882240\"]\n  14 [size=\"19101696\", alpha=\"0.06\", expect_size=\"9550848\"] \n  15 [size=\"32561152\", alpha=\"0.02\", expect_size=\"16280576\"] \n  15 -> 17 [size =\"16280576\"]\n  15 -> 18 [size =\"16280576\"]\n  16 [size=\"45445120\", alpha=\"0.06\", expect_size=\"22722560\"] \n  17 [size=\"20426752\", alpha=\"0.06\", expect_size=\"10213376\"] \n  17 -> 20 [size =\"10213376\"]\n  18 [size=\"37644288\", alpha=\"0.08\", expect_size=\"18822144\"] \n  18 -> 19 [size =\"18822144\"]\n  18 -> 21 [size =\"18822144\"]\n  19 [size=\"24090624\", alpha=\"0.03\", expect_size=\"12045312\"] \n  19 -> 22 [size =\"12045312\"]\n  20 [size=\"89565184\", alpha=\"0.11\", expect_size=\"44782592\"] \n  20 -> 24 [size =\"44782592\"]\n  21 [size=\"54190080\", alpha=\"0.19\", expect_size=\"27095040\"] \n  21 -> 22 [size =\"27095040\"]\n  21 -> 23 [size =\"27095040\"]\n  22 [size=\"94390272\", alpha=\"0.03\", expect_size=\"47195136\"] \n  22 -> 26 [size =\"47195136\"]\n  23 [size=\"28006400\", alpha=\"0.06\", expect_size=\"14003200\"] \n  23 -> 27 [size =\"14003200\"]\n  24 [size=\"81977344\", alpha=\"0.07\", expect_size=\"40988672\"] \n  24 -> 25 [size =\"40988672\"]\n  25 [size=\"14139392\", alpha=\"0.02\", expect_size=\"7069696\"] \n  25 -> 28 [size =\"7069696\"]\n  25 -> 29 [size =\"7069696\"]\n  26 [size=\"21688320\", alpha=\"0.18\", expect_size=\"10844160\"] \n  26 -> 30 [size =\"10844160\"]\n  27 [size=\"51709952\", alpha=\"0.02\", expect_size=\"25854976\"] \n  28 [size=\"79925248\", alpha=\"0.04\", expect_size=\"39962624\"] \n  28 -> 32 [size =\"39962624\"]\n  29 [size=\"24737792\", alpha=\"0.17\", expect_size=\"12368896\"] \n  29 -> 31 [size =\"12368896\"]\n  29 -> 33 [size =\"12368896\"]\n  30 [size=\"37203968\", alpha=\"0.15\", expect_size=\"18601984\"] \n  30 -> 32 [size =\"18601984\"]\n  31 [size=\"90474496\", alpha=\"0.09\", expect_size=\"45237248\"] \n  31 -> 34 [size =\"45237248\"]\n  31 -> 35 [size =\"45237248\"]\n  31 -> 36 [size =\"45237248\"]\n  32 [size=\"84207616\", alpha=\"0.11\", expect_size=\"42103808\"] \n  32 -> 34 [size =\"42103808\"]\n  32 -> 35 [size =\"42103808\"]\n  33 [size=\"97118208\", alpha=\"0.05\", expect_size=\"48559104\"] \n  33 -> 36 [size =\"48559104\"]\n  34 [size=\"33304576\", alpha=\"0.00\", expect_size=\"16652288\"] \n  34 -> 38 [size =\"16652288\"]\n  34 -> 39 [size =\"16652288\"]\n  35 [size=\"65454080\", alpha=\"0.00\", expect_size=\"32727040\"] \n  35 -> 37 [size =\"32727040\"]\n  36 [size=\"72927232\", alpha=\"0.08\", expect_size=\"36463616\"] \n  36 -> 38 [size =\"36463616\"]\n  37 [size=\"63313920\", alpha=\"0.18\", expect_size=\"31656960\"] \n  37 -> 40 [size =\"31656960\"]\n  38 [size=\"74989568\", alpha=\"0.13\", expect_size=\"37494784\"] \n  39 [size=\"92497920\", alpha=\"0.11\", expect_size=\"46248960\"] \n  39 -> 40 [size =\"46248960\"]\n  40 [size=\"79190016\", alpha=\"0.07\", expect_size=\"39595008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61767680\", alpha=\"0.04\", expect_size=\"18530304\"] \n  1 -> 2 [size =\"18530304\"]\n  2 [size=\"85824853\", alpha=\"0.19\", expect_size=\"25747456\"] \n  2 -> 3 [size =\"25747456\"]\n  3 [size=\"104123733\", alpha=\"0.09\", expect_size=\"31237120\"] \n  3 -> 4 [size =\"31237120\"]\n  4 [size=\"28706133\", alpha=\"0.10\", expect_size=\"8611840\"] \n  4 -> 5 [size =\"8611840\"]\n  5 [size=\"143926613\", alpha=\"0.17\", expect_size=\"43177984\"] \n  5 -> 6 [size =\"43177984\"]\n  6 [size=\"166352213\", alpha=\"0.11\", expect_size=\"49905664\"] \n  6 -> 7 [size =\"49905664\"]\n  7 [size=\"165461333\", alpha=\"0.07\", expect_size=\"49638400\"] \n  7 -> 8 [size =\"49638400\"]\n  8 [size=\"35525973\", alpha=\"0.17\", expect_size=\"10657792\"] \n  8 -> 9 [size =\"10657792\"]\n  9 [size=\"171728213\", alpha=\"0.07\", expect_size=\"51518464\"] \n  9 -> 10 [size =\"51518464\"]\n  10 [size=\"108236800\", alpha=\"0.07\", expect_size=\"32471040\"] \n  10 -> 11 [size =\"32471040\"]\n  11 [size=\"133765120\", alpha=\"0.19\", expect_size=\"40129536\"] \n  11 -> 12 [size =\"40129536\"]\n  12 [size=\"162669227\", alpha=\"0.08\", expect_size=\"48800768\"] \n  12 -> 13 [size =\"48800768\"]\n  13 [size=\"157914453\", alpha=\"0.18\", expect_size=\"47374336\"] \n  13 -> 14 [size =\"47374336\"]\n  14 [size=\"69280427\", alpha=\"0.09\", expect_size=\"20784128\"] \n  14 -> 15 [size =\"20784128\"]\n  15 [size=\"151507627\", alpha=\"0.14\", expect_size=\"45452288\"] \n  15 -> 16 [size =\"45452288\"]\n  16 [size=\"125245440\", alpha=\"0.04\", expect_size=\"37573632\"] \n  16 -> 17 [size =\"37573632\"]\n  17 [size=\"56917333\", alpha=\"0.05\", expect_size=\"17075200\"] \n  17 -> 18 [size =\"17075200\"]\n  18 [size=\"115551573\", alpha=\"0.02\", expect_size=\"34665472\"] \n  18 -> 19 [size =\"34665472\"]\n  19 [size=\"89173333\", alpha=\"0.09\", expect_size=\"26752000\"] \n  19 -> 20 [size =\"26752000\"]\n  20 [size=\"142912853\", alpha=\"0.14\", expect_size=\"42873856\"] \n  20 -> 21 [size =\"42873856\"]\n  21 [size=\"36747947\", alpha=\"0.05\", expect_size=\"11024384\"] \n  21 -> 22 [size =\"11024384\"]\n  22 [size=\"27446613\", alpha=\"0.04\", expect_size=\"8233984\"] \n  22 -> 23 [size =\"8233984\"]\n  23 [size=\"89408853\", alpha=\"0.14\", expect_size=\"26822656\"] \n  23 -> 24 [size =\"26822656\"]\n  24 [size=\"70830080\", alpha=\"0.06\", expect_size=\"21249024\"] \n  24 -> 25 [size =\"21249024\"]\n  25 [size=\"137939627\", alpha=\"0.14\", expect_size=\"41381888\"] \n  25 -> 26 [size =\"41381888\"]\n  26 [size=\"91303253\", alpha=\"0.00\", expect_size=\"27390976\"] \n  26 -> 27 [size =\"27390976\"]\n  27 [size=\"121620480\", alpha=\"0.06\", expect_size=\"36486144\"] \n  27 -> 28 [size =\"36486144\"]\n  28 [size=\"160382293\", alpha=\"0.14\", expect_size=\"48114688\"] \n  28 -> 29 [size =\"48114688\"]\n  29 [size=\"20838400\", alpha=\"0.01\", expect_size=\"6251520\"] \n  29 -> 30 [size =\"6251520\"]\n  30 [size=\"92876800\", alpha=\"0.00\", expect_size=\"27863040\"] \n  30 -> 31 [size =\"27863040\"]\n  31 [size=\"46486187\", alpha=\"0.14\", expect_size=\"13945856\"] \n  31 -> 32 [size =\"13945856\"]\n  32 [size=\"83251200\", alpha=\"0.06\", expect_size=\"24975360\"] \n  32 -> 33 [size =\"24975360\"]\n  33 [size=\"114234027\", alpha=\"0.16\", expect_size=\"34270208\"] \n  33 -> 34 [size =\"34270208\"]\n  34 [size=\"68802560\", alpha=\"0.13\", expect_size=\"20640768\"] \n  34 -> 35 [size =\"20640768\"]\n  35 [size=\"115469653\", alpha=\"0.07\", expect_size=\"34640896\"] \n  35 -> 36 [size =\"34640896\"]\n  36 [size=\"66116267\", alpha=\"0.14\", expect_size=\"19834880\"] \n  36 -> 37 [size =\"19834880\"]\n  37 [size=\"69625173\", alpha=\"0.07\", expect_size=\"20887552\"] \n  37 -> 38 [size =\"20887552\"]\n  38 [size=\"116688213\", alpha=\"0.12\", expect_size=\"35006464\"] \n  38 -> 39 [size =\"35006464\"]\n  39 [size=\"68072107\", alpha=\"0.06\", expect_size=\"20421632\"] \n  39 -> 40 [size =\"20421632\"]\n  40 [size=\"78032213\", alpha=\"0.16\", expect_size=\"23409664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113053013\", alpha=\"0.13\", expect_size=\"33915904\"] \n  1 -> 12 [size =\"33915904\"]\n  1 -> 14 [size =\"33915904\"]\n  1 -> 15 [size =\"33915904\"]\n  1 -> 16 [size =\"33915904\"]\n  1 -> 17 [size =\"33915904\"]\n  1 -> 20 [size =\"33915904\"]\n  1 -> 21 [size =\"33915904\"]\n  1 -> 22 [size =\"33915904\"]\n  2 [size=\"131020800\", alpha=\"0.19\", expect_size=\"39306240\"] \n  2 -> 12 [size =\"39306240\"]\n  2 -> 14 [size =\"39306240\"]\n  2 -> 15 [size =\"39306240\"]\n  2 -> 17 [size =\"39306240\"]\n  2 -> 19 [size =\"39306240\"]\n  2 -> 20 [size =\"39306240\"]\n  2 -> 21 [size =\"39306240\"]\n  2 -> 22 [size =\"39306240\"]\n  3 [size=\"114281813\", alpha=\"0.08\", expect_size=\"34284544\"] \n  3 -> 12 [size =\"34284544\"]\n  3 -> 16 [size =\"34284544\"]\n  3 -> 17 [size =\"34284544\"]\n  3 -> 19 [size =\"34284544\"]\n  3 -> 22 [size =\"34284544\"]\n  4 [size=\"145565013\", alpha=\"0.10\", expect_size=\"43669504\"] \n  4 -> 16 [size =\"43669504\"]\n  4 -> 16 [size =\"43669504\"]\n  4 -> 17 [size =\"43669504\"]\n  4 -> 22 [size =\"43669504\"]\n  4 -> 22 [size =\"43669504\"]\n  4 -> 24 [size =\"43669504\"]\n  5 [size=\"63802027\", alpha=\"0.20\", expect_size=\"19140608\"] \n  5 -> 12 [size =\"19140608\"]\n  5 -> 14 [size =\"19140608\"]\n  5 -> 19 [size =\"19140608\"]\n  5 -> 20 [size =\"19140608\"]\n  5 -> 22 [size =\"19140608\"]\n  5 -> 23 [size =\"19140608\"]\n  6 [size=\"119947947\", alpha=\"0.05\", expect_size=\"35984384\"] \n  6 -> 19 [size =\"35984384\"]\n  6 -> 22 [size =\"35984384\"]\n  7 [size=\"156224853\", alpha=\"0.10\", expect_size=\"46867456\"] \n  7 -> 13 [size =\"46867456\"]\n  7 -> 17 [size =\"46867456\"]\n  7 -> 18 [size =\"46867456\"]\n  7 -> 19 [size =\"46867456\"]\n  7 -> 20 [size =\"46867456\"]\n  7 -> 23 [size =\"46867456\"]\n  7 -> 24 [size =\"46867456\"]\n  8 [size=\"61508267\", alpha=\"0.00\", expect_size=\"18452480\"] \n  8 -> 13 [size =\"18452480\"]\n  8 -> 14 [size =\"18452480\"]\n  8 -> 15 [size =\"18452480\"]\n  8 -> 17 [size =\"18452480\"]\n  8 -> 19 [size =\"18452480\"]\n  8 -> 20 [size =\"18452480\"]\n  9 [size=\"79868587\", alpha=\"0.07\", expect_size=\"23960576\"] \n  9 -> 15 [size =\"23960576\"]\n  9 -> 16 [size =\"23960576\"]\n  9 -> 17 [size =\"23960576\"]\n  9 -> 19 [size =\"23960576\"]\n  9 -> 19 [size =\"23960576\"]\n  9 -> 20 [size =\"23960576\"]\n  9 -> 21 [size =\"23960576\"]\n  9 -> 22 [size =\"23960576\"]\n  10 [size=\"91429547\", alpha=\"0.11\", expect_size=\"27428864\"] \n  10 -> 15 [size =\"27428864\"]\n  10 -> 16 [size =\"27428864\"]\n  10 -> 21 [size =\"27428864\"]\n  11 [size=\"85777067\", alpha=\"0.09\", expect_size=\"25733120\"] \n  11 -> 12 [size =\"25733120\"]\n  11 -> 15 [size =\"25733120\"]\n  11 -> 16 [size =\"25733120\"]\n  11 -> 17 [size =\"25733120\"]\n  11 -> 20 [size =\"25733120\"]\n  11 -> 21 [size =\"25733120\"]\n  12 [size=\"30518613\", alpha=\"0.14\", expect_size=\"9155584\"] \n  12 -> 25 [size =\"9155584\"]\n  12 -> 26 [size =\"9155584\"]\n  12 -> 32 [size =\"9155584\"]\n  12 -> 36 [size =\"9155584\"]\n  13 [size=\"21241173\", alpha=\"0.07\", expect_size=\"6372352\"] \n  13 -> 26 [size =\"6372352\"]\n  13 -> 28 [size =\"6372352\"]\n  13 -> 33 [size =\"6372352\"]\n  13 -> 34 [size =\"6372352\"]\n  14 [size=\"83326293\", alpha=\"0.16\", expect_size=\"24997888\"] \n  14 -> 26 [size =\"24997888\"]\n  14 -> 30 [size =\"24997888\"]\n  14 -> 31 [size =\"24997888\"]\n  14 -> 33 [size =\"24997888\"]\n  14 -> 34 [size =\"24997888\"]\n  14 -> 35 [size =\"24997888\"]\n  15 [size=\"164549973\", alpha=\"0.12\", expect_size=\"49364992\"] \n  15 -> 25 [size =\"49364992\"]\n  15 -> 30 [size =\"49364992\"]\n  15 -> 31 [size =\"49364992\"]\n  15 -> 34 [size =\"49364992\"]\n  16 [size=\"163751253\", alpha=\"0.02\", expect_size=\"49125376\"] \n  16 -> 27 [size =\"49125376\"]\n  16 -> 36 [size =\"49125376\"]\n  17 [size=\"43902293\", alpha=\"0.02\", expect_size=\"13170688\"] \n  17 -> 25 [size =\"13170688\"]\n  17 -> 26 [size =\"13170688\"]\n  17 -> 27 [size =\"13170688\"]\n  17 -> 29 [size =\"13170688\"]\n  17 -> 30 [size =\"13170688\"]\n  17 -> 31 [size =\"13170688\"]\n  17 -> 34 [size =\"13170688\"]\n  17 -> 35 [size =\"13170688\"]\n  18 [size=\"118685013\", alpha=\"0.15\", expect_size=\"35605504\"] \n  18 -> 25 [size =\"35605504\"]\n  18 -> 29 [size =\"35605504\"]\n  18 -> 30 [size =\"35605504\"]\n  18 -> 31 [size =\"35605504\"]\n  18 -> 34 [size =\"35605504\"]\n  18 -> 36 [size =\"35605504\"]\n  19 [size=\"121941333\", alpha=\"0.13\", expect_size=\"36582400\"] \n  19 -> 25 [size =\"36582400\"]\n  19 -> 30 [size =\"36582400\"]\n  19 -> 32 [size =\"36582400\"]\n  19 -> 33 [size =\"36582400\"]\n  19 -> 34 [size =\"36582400\"]\n  19 -> 36 [size =\"36582400\"]\n  20 [size=\"20125013\", alpha=\"0.06\", expect_size=\"6037504\"] \n  20 -> 26 [size =\"6037504\"]\n  20 -> 27 [size =\"6037504\"]\n  20 -> 29 [size =\"6037504\"]\n  20 -> 30 [size =\"6037504\"]\n  20 -> 34 [size =\"6037504\"]\n  20 -> 36 [size =\"6037504\"]\n  21 [size=\"107055787\", alpha=\"0.12\", expect_size=\"32116736\"] \n  21 -> 25 [size =\"32116736\"]\n  21 -> 26 [size =\"32116736\"]\n  21 -> 27 [size =\"32116736\"]\n  21 -> 28 [size =\"32116736\"]\n  21 -> 29 [size =\"32116736\"]\n  21 -> 31 [size =\"32116736\"]\n  21 -> 34 [size =\"32116736\"]\n  21 -> 36 [size =\"32116736\"]\n  22 [size=\"18575360\", alpha=\"0.12\", expect_size=\"5572608\"] \n  22 -> 26 [size =\"5572608\"]\n  22 -> 27 [size =\"5572608\"]\n  22 -> 30 [size =\"5572608\"]\n  22 -> 33 [size =\"5572608\"]\n  23 [size=\"131372373\", alpha=\"0.04\", expect_size=\"39411712\"] \n  23 -> 26 [size =\"39411712\"]\n  23 -> 28 [size =\"39411712\"]\n  23 -> 30 [size =\"39411712\"]\n  23 -> 33 [size =\"39411712\"]\n  23 -> 35 [size =\"39411712\"]\n  23 -> 36 [size =\"39411712\"]\n  24 [size=\"32607573\", alpha=\"0.13\", expect_size=\"9782272\"] \n  24 -> 26 [size =\"9782272\"]\n  24 -> 30 [size =\"9782272\"]\n  24 -> 31 [size =\"9782272\"]\n  24 -> 32 [size =\"9782272\"]\n  24 -> 35 [size =\"9782272\"]\n  25 [size=\"155176960\", alpha=\"0.07\", expect_size=\"46553088\"] \n  25 -> 37 [size =\"46553088\"]\n  25 -> 39 [size =\"46553088\"]\n  26 [size=\"92245333\", alpha=\"0.15\", expect_size=\"27673600\"] \n  26 -> 37 [size =\"27673600\"]\n  27 [size=\"108759040\", alpha=\"0.00\", expect_size=\"32627712\"] \n  27 -> 37 [size =\"32627712\"]\n  27 -> 39 [size =\"32627712\"]\n  27 -> 40 [size =\"32627712\"]\n  28 [size=\"126136320\", alpha=\"0.11\", expect_size=\"37840896\"] \n  28 -> 37 [size =\"37840896\"]\n  28 -> 38 [size =\"37840896\"]\n  28 -> 39 [size =\"37840896\"]\n  29 [size=\"82923520\", alpha=\"0.10\", expect_size=\"24877056\"] \n  29 -> 37 [size =\"24877056\"]\n  30 [size=\"25569280\", alpha=\"0.18\", expect_size=\"7670784\"] \n  30 -> 37 [size =\"7670784\"]\n  30 -> 39 [size =\"7670784\"]\n  31 [size=\"74048853\", alpha=\"0.15\", expect_size=\"22214656\"] \n  31 -> 39 [size =\"22214656\"]\n  31 -> 40 [size =\"22214656\"]\n  32 [size=\"166656000\", alpha=\"0.13\", expect_size=\"49996800\"] \n  32 -> 39 [size =\"49996800\"]\n  33 [size=\"102365867\", alpha=\"0.12\", expect_size=\"30709760\"] \n  33 -> 39 [size =\"30709760\"]\n  34 [size=\"135266987\", alpha=\"0.19\", expect_size=\"40580096\"] \n  34 -> 39 [size =\"40580096\"]\n  35 [size=\"78882133\", alpha=\"0.06\", expect_size=\"23664640\"] \n  35 -> 38 [size =\"23664640\"]\n  36 [size=\"136823467\", alpha=\"0.10\", expect_size=\"41047040\"] \n  36 -> 37 [size =\"41047040\"]\n  36 -> 39 [size =\"41047040\"]\n  36 -> 40 [size =\"41047040\"]\n  37 [size=\"96989867\", alpha=\"0.18\", expect_size=\"29096960\"] \n  38 [size=\"98129920\", alpha=\"0.19\", expect_size=\"29438976\"] \n  39 [size=\"26992640\", alpha=\"0.13\", expect_size=\"8097792\"] \n  40 [size=\"103249920\", alpha=\"0.08\", expect_size=\"30974976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170127360\", alpha=\"0.02\", expect_size=\"51038208\"] \n  1 -> 2 [size =\"51038208\"]\n  2 [size=\"123002880\", alpha=\"0.20\", expect_size=\"36900864\"] \n  2 -> 3 [size =\"36900864\"]\n  3 [size=\"34826240\", alpha=\"0.17\", expect_size=\"10447872\"] \n  3 -> 4 [size =\"10447872\"]\n  4 [size=\"174161920\", alpha=\"0.10\", expect_size=\"52248576\"] \n  4 -> 5 [size =\"52248576\"]\n  5 [size=\"72229547\", alpha=\"0.15\", expect_size=\"21668864\"] \n  5 -> 6 [size =\"21668864\"]\n  6 [size=\"141615787\", alpha=\"0.06\", expect_size=\"42484736\"] \n  6 -> 7 [size =\"42484736\"]\n  7 [size=\"50298880\", alpha=\"0.17\", expect_size=\"15089664\"] \n  7 -> 8 [size =\"15089664\"]\n  8 [size=\"65044480\", alpha=\"0.09\", expect_size=\"19513344\"] \n  8 -> 9 [size =\"19513344\"]\n  9 [size=\"49397760\", alpha=\"0.01\", expect_size=\"14819328\"] \n  9 -> 10 [size =\"14819328\"]\n  10 [size=\"85357227\", alpha=\"0.10\", expect_size=\"25607168\"] \n  10 -> 11 [size =\"25607168\"]\n  11 [size=\"25767253\", alpha=\"0.01\", expect_size=\"7730176\"] \n  11 -> 12 [size =\"7730176\"]\n  12 [size=\"41816747\", alpha=\"0.01\", expect_size=\"12545024\"] \n  12 -> 13 [size =\"12545024\"]\n  13 [size=\"41011200\", alpha=\"0.13\", expect_size=\"12303360\"] \n  13 -> 14 [size =\"12303360\"]\n  14 [size=\"174196053\", alpha=\"0.16\", expect_size=\"52258816\"] \n  14 -> 15 [size =\"52258816\"]\n  15 [size=\"95508480\", alpha=\"0.14\", expect_size=\"28652544\"] \n  15 -> 16 [size =\"28652544\"]\n  16 [size=\"56343893\", alpha=\"0.17\", expect_size=\"16903168\"] \n  16 -> 17 [size =\"16903168\"]\n  17 [size=\"101850453\", alpha=\"0.01\", expect_size=\"30555136\"] \n  17 -> 18 [size =\"30555136\"]\n  18 [size=\"75376640\", alpha=\"0.14\", expect_size=\"22612992\"] \n  18 -> 19 [size =\"22612992\"]\n  19 [size=\"148305920\", alpha=\"0.06\", expect_size=\"44491776\"] \n  19 -> 20 [size =\"44491776\"]\n  20 [size=\"159668907\", alpha=\"0.15\", expect_size=\"47900672\"] \n  20 -> 21 [size =\"47900672\"]\n  21 [size=\"80046080\", alpha=\"0.03\", expect_size=\"24013824\"] \n  21 -> 22 [size =\"24013824\"]\n  22 [size=\"88074240\", alpha=\"0.05\", expect_size=\"26422272\"] \n  22 -> 23 [size =\"26422272\"]\n  23 [size=\"92456960\", alpha=\"0.10\", expect_size=\"27737088\"] \n  23 -> 24 [size =\"27737088\"]\n  24 [size=\"39700480\", alpha=\"0.14\", expect_size=\"11910144\"] \n  24 -> 25 [size =\"11910144\"]\n  25 [size=\"162249387\", alpha=\"0.05\", expect_size=\"48674816\"] \n  25 -> 26 [size =\"48674816\"]\n  26 [size=\"112701440\", alpha=\"0.12\", expect_size=\"33810432\"] \n  26 -> 27 [size =\"33810432\"]\n  27 [size=\"86551893\", alpha=\"0.03\", expect_size=\"25965568\"] \n  27 -> 28 [size =\"25965568\"]\n  28 [size=\"97529173\", alpha=\"0.20\", expect_size=\"29258752\"] \n  28 -> 29 [size =\"29258752\"]\n  29 [size=\"47950507\", alpha=\"0.01\", expect_size=\"14385152\"] \n  29 -> 30 [size =\"14385152\"]\n  30 [size=\"92719787\", alpha=\"0.11\", expect_size=\"27815936\"] \n  30 -> 31 [size =\"27815936\"]\n  31 [size=\"52169387\", alpha=\"0.01\", expect_size=\"15650816\"] \n  31 -> 32 [size =\"15650816\"]\n  32 [size=\"78943573\", alpha=\"0.15\", expect_size=\"23683072\"] \n  32 -> 33 [size =\"23683072\"]\n  33 [size=\"121292800\", alpha=\"0.12\", expect_size=\"36387840\"] \n  33 -> 34 [size =\"36387840\"]\n  34 [size=\"39280640\", alpha=\"0.09\", expect_size=\"11784192\"] \n  34 -> 35 [size =\"11784192\"]\n  35 [size=\"146882560\", alpha=\"0.16\", expect_size=\"44064768\"] \n  35 -> 36 [size =\"44064768\"]\n  36 [size=\"26989227\", alpha=\"0.08\", expect_size=\"8096768\"] \n  36 -> 37 [size =\"8096768\"]\n  37 [size=\"118319787\", alpha=\"0.10\", expect_size=\"35495936\"] \n  37 -> 38 [size =\"35495936\"]\n  38 [size=\"139124053\", alpha=\"0.20\", expect_size=\"41737216\"] \n  38 -> 39 [size =\"41737216\"]\n  39 [size=\"136970240\", alpha=\"0.06\", expect_size=\"41091072\"] \n  39 -> 40 [size =\"41091072\"]\n  40 [size=\"143786667\", alpha=\"0.11\", expect_size=\"43136000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134840320\", alpha=\"0.15\", expect_size=\"40452096\"] \n  1 -> 12 [size =\"40452096\"]\n  1 -> 15 [size =\"40452096\"]\n  1 -> 16 [size =\"40452096\"]\n  1 -> 17 [size =\"40452096\"]\n  1 -> 19 [size =\"40452096\"]\n  1 -> 20 [size =\"40452096\"]\n  1 -> 23 [size =\"40452096\"]\n  1 -> 24 [size =\"40452096\"]\n  2 [size=\"32392533\", alpha=\"0.00\", expect_size=\"9717760\"] \n  2 -> 10 [size =\"9717760\"]\n  2 -> 23 [size =\"9717760\"]\n  2 -> 24 [size =\"9717760\"]\n  3 [size=\"140526933\", alpha=\"0.06\", expect_size=\"42158080\"] \n  3 -> 10 [size =\"42158080\"]\n  3 -> 13 [size =\"42158080\"]\n  3 -> 20 [size =\"42158080\"]\n  3 -> 23 [size =\"42158080\"]\n  4 [size=\"17984853\", alpha=\"0.08\", expect_size=\"5395456\"] \n  4 -> 11 [size =\"5395456\"]\n  4 -> 16 [size =\"5395456\"]\n  4 -> 22 [size =\"5395456\"]\n  4 -> 23 [size =\"5395456\"]\n  4 -> 25 [size =\"5395456\"]\n  5 [size=\"152603307\", alpha=\"0.18\", expect_size=\"45780992\"] \n  5 -> 10 [size =\"45780992\"]\n  5 -> 15 [size =\"45780992\"]\n  5 -> 18 [size =\"45780992\"]\n  5 -> 20 [size =\"45780992\"]\n  5 -> 22 [size =\"45780992\"]\n  5 -> 24 [size =\"45780992\"]\n  6 [size=\"139093333\", alpha=\"0.16\", expect_size=\"41728000\"] \n  6 -> 12 [size =\"41728000\"]\n  6 -> 22 [size =\"41728000\"]\n  7 [size=\"168772267\", alpha=\"0.10\", expect_size=\"50631680\"] \n  7 -> 10 [size =\"50631680\"]\n  7 -> 12 [size =\"50631680\"]\n  7 -> 14 [size =\"50631680\"]\n  7 -> 17 [size =\"50631680\"]\n  7 -> 18 [size =\"50631680\"]\n  7 -> 21 [size =\"50631680\"]\n  7 -> 22 [size =\"50631680\"]\n  7 -> 24 [size =\"50631680\"]\n  8 [size=\"159453867\", alpha=\"0.09\", expect_size=\"47836160\"] \n  8 -> 12 [size =\"47836160\"]\n  8 -> 13 [size =\"47836160\"]\n  8 -> 14 [size =\"47836160\"]\n  8 -> 17 [size =\"47836160\"]\n  8 -> 18 [size =\"47836160\"]\n  8 -> 20 [size =\"47836160\"]\n  8 -> 21 [size =\"47836160\"]\n  8 -> 22 [size =\"47836160\"]\n  8 -> 23 [size =\"47836160\"]\n  9 [size=\"66833067\", alpha=\"0.04\", expect_size=\"20049920\"] \n  9 -> 18 [size =\"20049920\"]\n  9 -> 20 [size =\"20049920\"]\n  9 -> 23 [size =\"20049920\"]\n  9 -> 24 [size =\"20049920\"]\n  10 [size=\"148114773\", alpha=\"0.02\", expect_size=\"44434432\"] \n  10 -> 26 [size =\"44434432\"]\n  10 -> 30 [size =\"44434432\"]\n  10 -> 31 [size =\"44434432\"]\n  10 -> 34 [size =\"44434432\"]\n  10 -> 38 [size =\"44434432\"]\n  11 [size=\"134563840\", alpha=\"0.19\", expect_size=\"40369152\"] \n  11 -> 29 [size =\"40369152\"]\n  11 -> 30 [size =\"40369152\"]\n  11 -> 34 [size =\"40369152\"]\n  11 -> 35 [size =\"40369152\"]\n  11 -> 36 [size =\"40369152\"]\n  11 -> 39 [size =\"40369152\"]\n  12 [size=\"98706773\", alpha=\"0.17\", expect_size=\"29612032\"] \n  12 -> 27 [size =\"29612032\"]\n  12 -> 29 [size =\"29612032\"]\n  12 -> 30 [size =\"29612032\"]\n  12 -> 31 [size =\"29612032\"]\n  12 -> 36 [size =\"29612032\"]\n  12 -> 39 [size =\"29612032\"]\n  12 -> 40 [size =\"29612032\"]\n  13 [size=\"99723947\", alpha=\"0.00\", expect_size=\"29917184\"] \n  13 -> 27 [size =\"29917184\"]\n  13 -> 28 [size =\"29917184\"]\n  13 -> 31 [size =\"29917184\"]\n  13 -> 34 [size =\"29917184\"]\n  13 -> 40 [size =\"29917184\"]\n  14 [size=\"148234240\", alpha=\"0.11\", expect_size=\"44470272\"] \n  14 -> 28 [size =\"44470272\"]\n  14 -> 36 [size =\"44470272\"]\n  14 -> 37 [size =\"44470272\"]\n  15 [size=\"50831360\", alpha=\"0.11\", expect_size=\"15249408\"] \n  15 -> 27 [size =\"15249408\"]\n  15 -> 29 [size =\"15249408\"]\n  15 -> 35 [size =\"15249408\"]\n  15 -> 39 [size =\"15249408\"]\n  16 [size=\"32938667\", alpha=\"0.07\", expect_size=\"9881600\"] \n  16 -> 27 [size =\"9881600\"]\n  16 -> 28 [size =\"9881600\"]\n  16 -> 31 [size =\"9881600\"]\n  16 -> 33 [size =\"9881600\"]\n  16 -> 34 [size =\"9881600\"]\n  16 -> 35 [size =\"9881600\"]\n  16 -> 39 [size =\"9881600\"]\n  17 [size=\"159511893\", alpha=\"0.11\", expect_size=\"47853568\"] \n  17 -> 26 [size =\"47853568\"]\n  17 -> 28 [size =\"47853568\"]\n  17 -> 30 [size =\"47853568\"]\n  17 -> 34 [size =\"47853568\"]\n  18 [size=\"81203200\", alpha=\"0.05\", expect_size=\"24360960\"] \n  18 -> 30 [size =\"24360960\"]\n  19 [size=\"154835627\", alpha=\"0.11\", expect_size=\"46450688\"] \n  19 -> 27 [size =\"46450688\"]\n  19 -> 29 [size =\"46450688\"]\n  19 -> 31 [size =\"46450688\"]\n  19 -> 34 [size =\"46450688\"]\n  19 -> 36 [size =\"46450688\"]\n  19 -> 40 [size =\"46450688\"]\n  20 [size=\"26217813\", alpha=\"0.17\", expect_size=\"7865344\"] \n  20 -> 26 [size =\"7865344\"]\n  20 -> 27 [size =\"7865344\"]\n  20 -> 30 [size =\"7865344\"]\n  20 -> 31 [size =\"7865344\"]\n  20 -> 34 [size =\"7865344\"]\n  20 -> 39 [size =\"7865344\"]\n  20 -> 40 [size =\"7865344\"]\n  21 [size=\"41977173\", alpha=\"0.17\", expect_size=\"12593152\"] \n  21 -> 27 [size =\"12593152\"]\n  21 -> 28 [size =\"12593152\"]\n  21 -> 29 [size =\"12593152\"]\n  21 -> 30 [size =\"12593152\"]\n  21 -> 34 [size =\"12593152\"]\n  21 -> 39 [size =\"12593152\"]\n  21 -> 40 [size =\"12593152\"]\n  22 [size=\"33675947\", alpha=\"0.20\", expect_size=\"10102784\"] \n  22 -> 27 [size =\"10102784\"]\n  22 -> 28 [size =\"10102784\"]\n  22 -> 32 [size =\"10102784\"]\n  22 -> 39 [size =\"10102784\"]\n  22 -> 40 [size =\"10102784\"]\n  23 [size=\"167830187\", alpha=\"0.18\", expect_size=\"50349056\"] \n  23 -> 29 [size =\"50349056\"]\n  23 -> 30 [size =\"50349056\"]\n  23 -> 34 [size =\"50349056\"]\n  23 -> 39 [size =\"50349056\"]\n  23 -> 40 [size =\"50349056\"]\n  24 [size=\"169465173\", alpha=\"0.16\", expect_size=\"50839552\"] \n  24 -> 27 [size =\"50839552\"]\n  24 -> 28 [size =\"50839552\"]\n  24 -> 30 [size =\"50839552\"]\n  24 -> 35 [size =\"50839552\"]\n  24 -> 39 [size =\"50839552\"]\n  24 -> 40 [size =\"50839552\"]\n  25 [size=\"96583680\", alpha=\"0.12\", expect_size=\"28975104\"] \n  25 -> 32 [size =\"28975104\"]\n  25 -> 39 [size =\"28975104\"]\n  25 -> 40 [size =\"28975104\"]\n  26 [size=\"27845973\", alpha=\"0.02\", expect_size=\"8353792\"] \n  27 [size=\"85736107\", alpha=\"0.13\", expect_size=\"25720832\"] \n  28 [size=\"17879040\", alpha=\"0.01\", expect_size=\"5363712\"] \n  29 [size=\"60968960\", alpha=\"0.15\", expect_size=\"18290688\"] \n  30 [size=\"147507200\", alpha=\"0.06\", expect_size=\"44252160\"] \n  31 [size=\"121531733\", alpha=\"0.12\", expect_size=\"36459520\"] \n  32 [size=\"100410027\", alpha=\"0.08\", expect_size=\"30123008\"] \n  33 [size=\"99058347\", alpha=\"0.15\", expect_size=\"29717504\"] \n  34 [size=\"83244373\", alpha=\"0.19\", expect_size=\"24973312\"] \n  35 [size=\"53480107\", alpha=\"0.06\", expect_size=\"16044032\"] \n  36 [size=\"144889173\", alpha=\"0.16\", expect_size=\"43466752\"] \n  37 [size=\"164522667\", alpha=\"0.03\", expect_size=\"49356800\"] \n  38 [size=\"106390187\", alpha=\"0.19\", expect_size=\"31917056\"] \n  39 [size=\"112465920\", alpha=\"0.12\", expect_size=\"33739776\"] \n  40 [size=\"74827093\", alpha=\"0.07\", expect_size=\"22448128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150818133\", alpha=\"0.11\", expect_size=\"45245440\"] \n  1 -> 2 [size =\"45245440\"]\n  2 [size=\"41881600\", alpha=\"0.08\", expect_size=\"12564480\"] \n  2 -> 3 [size =\"12564480\"]\n  3 [size=\"164601173\", alpha=\"0.17\", expect_size=\"49380352\"] \n  3 -> 4 [size =\"49380352\"]\n  4 [size=\"111421440\", alpha=\"0.06\", expect_size=\"33426432\"] \n  4 -> 5 [size =\"33426432\"]\n  5 [size=\"44260693\", alpha=\"0.10\", expect_size=\"13278208\"] \n  5 -> 6 [size =\"13278208\"]\n  6 [size=\"23009280\", alpha=\"0.08\", expect_size=\"6902784\"] \n  6 -> 7 [size =\"6902784\"]\n  7 [size=\"134410240\", alpha=\"0.04\", expect_size=\"40323072\"] \n  7 -> 8 [size =\"40323072\"]\n  8 [size=\"144868693\", alpha=\"0.15\", expect_size=\"43460608\"] \n  8 -> 9 [size =\"43460608\"]\n  9 [size=\"79752533\", alpha=\"0.01\", expect_size=\"23925760\"] \n  9 -> 10 [size =\"23925760\"]\n  10 [size=\"48295253\", alpha=\"0.06\", expect_size=\"14488576\"] \n  10 -> 11 [size =\"14488576\"]\n  11 [size=\"35365547\", alpha=\"0.05\", expect_size=\"10609664\"] \n  11 -> 12 [size =\"10609664\"]\n  12 [size=\"121924267\", alpha=\"0.06\", expect_size=\"36577280\"] \n  12 -> 13 [size =\"36577280\"]\n  13 [size=\"29835947\", alpha=\"0.06\", expect_size=\"8950784\"] \n  13 -> 14 [size =\"8950784\"]\n  14 [size=\"160303787\", alpha=\"0.17\", expect_size=\"48091136\"] \n  14 -> 15 [size =\"48091136\"]\n  15 [size=\"46916267\", alpha=\"0.11\", expect_size=\"14074880\"] \n  15 -> 16 [size =\"14074880\"]\n  16 [size=\"129262933\", alpha=\"0.09\", expect_size=\"38778880\"] \n  16 -> 17 [size =\"38778880\"]\n  17 [size=\"36655787\", alpha=\"0.05\", expect_size=\"10996736\"] \n  17 -> 18 [size =\"10996736\"]\n  18 [size=\"71424000\", alpha=\"0.06\", expect_size=\"21427200\"] \n  18 -> 19 [size =\"21427200\"]\n  19 [size=\"36017493\", alpha=\"0.17\", expect_size=\"10805248\"] \n  19 -> 20 [size =\"10805248\"]\n  20 [size=\"42905600\", alpha=\"0.17\", expect_size=\"12871680\"] \n  20 -> 21 [size =\"12871680\"]\n  21 [size=\"91409067\", alpha=\"0.14\", expect_size=\"27422720\"] \n  21 -> 22 [size =\"27422720\"]\n  22 [size=\"130662400\", alpha=\"0.14\", expect_size=\"39198720\"] \n  22 -> 23 [size =\"39198720\"]\n  23 [size=\"23825067\", alpha=\"0.12\", expect_size=\"7147520\"] \n  23 -> 24 [size =\"7147520\"]\n  24 [size=\"68181333\", alpha=\"0.03\", expect_size=\"20454400\"] \n  24 -> 25 [size =\"20454400\"]\n  25 [size=\"48172373\", alpha=\"0.17\", expect_size=\"14451712\"] \n  25 -> 26 [size =\"14451712\"]\n  26 [size=\"137970347\", alpha=\"0.11\", expect_size=\"41391104\"] \n  26 -> 27 [size =\"41391104\"]\n  27 [size=\"49063253\", alpha=\"0.01\", expect_size=\"14718976\"] \n  27 -> 28 [size =\"14718976\"]\n  28 [size=\"90299733\", alpha=\"0.06\", expect_size=\"27089920\"] \n  28 -> 29 [size =\"27089920\"]\n  29 [size=\"134208853\", alpha=\"0.00\", expect_size=\"40262656\"] \n  29 -> 30 [size =\"40262656\"]\n  30 [size=\"114227200\", alpha=\"0.18\", expect_size=\"34268160\"] \n  30 -> 31 [size =\"34268160\"]\n  31 [size=\"92453547\", alpha=\"0.17\", expect_size=\"27736064\"] \n  31 -> 32 [size =\"27736064\"]\n  32 [size=\"44939947\", alpha=\"0.10\", expect_size=\"13481984\"] \n  32 -> 33 [size =\"13481984\"]\n  33 [size=\"153381547\", alpha=\"0.05\", expect_size=\"46014464\"] \n  33 -> 34 [size =\"46014464\"]\n  34 [size=\"93047467\", alpha=\"0.18\", expect_size=\"27914240\"] \n  34 -> 35 [size =\"27914240\"]\n  35 [size=\"115172693\", alpha=\"0.14\", expect_size=\"34551808\"] \n  35 -> 36 [size =\"34551808\"]\n  36 [size=\"89251840\", alpha=\"0.05\", expect_size=\"26775552\"] \n  36 -> 37 [size =\"26775552\"]\n  37 [size=\"20821333\", alpha=\"0.18\", expect_size=\"6246400\"] \n  37 -> 38 [size =\"6246400\"]\n  38 [size=\"26821973\", alpha=\"0.18\", expect_size=\"8046592\"] \n  38 -> 39 [size =\"8046592\"]\n  39 [size=\"77356373\", alpha=\"0.01\", expect_size=\"23206912\"] \n  39 -> 40 [size =\"23206912\"]\n  40 [size=\"77417813\", alpha=\"0.06\", expect_size=\"23225344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132055040\", alpha=\"0.14\", expect_size=\"39616512\"] \n  1 -> 8 [size =\"39616512\"]\n  1 -> 9 [size =\"39616512\"]\n  1 -> 10 [size =\"39616512\"]\n  2 [size=\"167857493\", alpha=\"0.05\", expect_size=\"50357248\"] \n  3 [size=\"72099840\", alpha=\"0.15\", expect_size=\"21629952\"] \n  3 -> 9 [size =\"21629952\"]\n  4 [size=\"87237973\", alpha=\"0.09\", expect_size=\"26171392\"] \n  4 -> 11 [size =\"26171392\"]\n  5 [size=\"110977707\", alpha=\"0.10\", expect_size=\"33293312\"] \n  6 [size=\"94068053\", alpha=\"0.02\", expect_size=\"28220416\"] \n  6 -> 9 [size =\"28220416\"]\n  6 -> 10 [size =\"28220416\"]\n  7 [size=\"65860267\", alpha=\"0.03\", expect_size=\"19758080\"] \n  7 -> 8 [size =\"19758080\"]\n  7 -> 9 [size =\"19758080\"]\n  7 -> 10 [size =\"19758080\"]\n  8 [size=\"165021013\", alpha=\"0.02\", expect_size=\"49506304\"] \n  8 -> 13 [size =\"49506304\"]\n  9 [size=\"18780160\", alpha=\"0.02\", expect_size=\"5634048\"] \n  9 -> 14 [size =\"5634048\"]\n  9 -> 15 [size =\"5634048\"]\n  10 [size=\"110493013\", alpha=\"0.13\", expect_size=\"33147904\"] \n  10 -> 12 [size =\"33147904\"]\n  10 -> 14 [size =\"33147904\"]\n  10 -> 15 [size =\"33147904\"]\n  11 [size=\"123968853\", alpha=\"0.05\", expect_size=\"37190656\"] \n  11 -> 14 [size =\"37190656\"]\n  12 [size=\"76032000\", alpha=\"0.08\", expect_size=\"22809600\"] \n  12 -> 16 [size =\"22809600\"]\n  12 -> 18 [size =\"22809600\"]\n  13 [size=\"112691200\", alpha=\"0.02\", expect_size=\"33807360\"] \n  13 -> 17 [size =\"33807360\"]\n  13 -> 19 [size =\"33807360\"]\n  14 [size=\"73765547\", alpha=\"0.02\", expect_size=\"22129664\"] \n  14 -> 16 [size =\"22129664\"]\n  14 -> 18 [size =\"22129664\"]\n  15 [size=\"144875520\", alpha=\"0.16\", expect_size=\"43462656\"] \n  15 -> 16 [size =\"43462656\"]\n  15 -> 17 [size =\"43462656\"]\n  15 -> 18 [size =\"43462656\"]\n  16 [size=\"68017493\", alpha=\"0.02\", expect_size=\"20405248\"] \n  16 -> 20 [size =\"20405248\"]\n  16 -> 21 [size =\"20405248\"]\n  16 -> 23 [size =\"20405248\"]\n  16 -> 24 [size =\"20405248\"]\n  17 [size=\"87217493\", alpha=\"0.14\", expect_size=\"26165248\"] \n  17 -> 20 [size =\"26165248\"]\n  17 -> 22 [size =\"26165248\"]\n  17 -> 23 [size =\"26165248\"]\n  17 -> 25 [size =\"26165248\"]\n  18 [size=\"110124373\", alpha=\"0.00\", expect_size=\"33037312\"] \n  18 -> 22 [size =\"33037312\"]\n  18 -> 24 [size =\"33037312\"]\n  18 -> 25 [size =\"33037312\"]\n  19 [size=\"123845973\", alpha=\"0.09\", expect_size=\"37153792\"] \n  20 [size=\"141697707\", alpha=\"0.10\", expect_size=\"42509312\"] \n  21 [size=\"86947840\", alpha=\"0.06\", expect_size=\"26084352\"] \n  21 -> 30 [size =\"26084352\"]\n  21 -> 31 [size =\"26084352\"]\n  22 [size=\"129795413\", alpha=\"0.01\", expect_size=\"38938624\"] \n  22 -> 27 [size =\"38938624\"]\n  22 -> 28 [size =\"38938624\"]\n  22 -> 30 [size =\"38938624\"]\n  22 -> 31 [size =\"38938624\"]\n  23 [size=\"32320853\", alpha=\"0.03\", expect_size=\"9696256\"] \n  23 -> 31 [size =\"9696256\"]\n  24 [size=\"44479147\", alpha=\"0.14\", expect_size=\"13343744\"] \n  24 -> 26 [size =\"13343744\"]\n  24 -> 27 [size =\"13343744\"]\n  24 -> 28 [size =\"13343744\"]\n  24 -> 29 [size =\"13343744\"]\n  25 [size=\"63798613\", alpha=\"0.17\", expect_size=\"19139584\"] \n  25 -> 30 [size =\"19139584\"]\n  26 [size=\"32532480\", alpha=\"0.10\", expect_size=\"9759744\"] \n  26 -> 32 [size =\"9759744\"]\n  27 [size=\"51705173\", alpha=\"0.09\", expect_size=\"15511552\"] \n  27 -> 32 [size =\"15511552\"]\n  27 -> 33 [size =\"15511552\"]\n  27 -> 35 [size =\"15511552\"]\n  27 -> 36 [size =\"15511552\"]\n  27 -> 37 [size =\"15511552\"]\n  28 [size=\"164543147\", alpha=\"0.06\", expect_size=\"49362944\"] \n  28 -> 32 [size =\"49362944\"]\n  29 [size=\"166406827\", alpha=\"0.04\", expect_size=\"49922048\"] \n  29 -> 35 [size =\"49922048\"]\n  30 [size=\"76858027\", alpha=\"0.13\", expect_size=\"23057408\"] \n  30 -> 34 [size =\"23057408\"]\n  30 -> 35 [size =\"23057408\"]\n  31 [size=\"156258987\", alpha=\"0.17\", expect_size=\"46877696\"] \n  31 -> 32 [size =\"46877696\"]\n  31 -> 35 [size =\"46877696\"]\n  31 -> 37 [size =\"46877696\"]\n  32 [size=\"47329280\", alpha=\"0.07\", expect_size=\"14198784\"] \n  32 -> 39 [size =\"14198784\"]\n  33 [size=\"57736533\", alpha=\"0.10\", expect_size=\"17320960\"] \n  33 -> 39 [size =\"17320960\"]\n  34 [size=\"84821333\", alpha=\"0.19\", expect_size=\"25446400\"] \n  35 [size=\"41062400\", alpha=\"0.05\", expect_size=\"12318720\"] \n  35 -> 38 [size =\"12318720\"]\n  35 -> 39 [size =\"12318720\"]\n  36 [size=\"19957760\", alpha=\"0.18\", expect_size=\"5987328\"] \n  36 -> 40 [size =\"5987328\"]\n  37 [size=\"98106027\", alpha=\"0.19\", expect_size=\"29431808\"] \n  37 -> 39 [size =\"29431808\"]\n  37 -> 40 [size =\"29431808\"]\n  38 [size=\"166604800\", alpha=\"0.12\", expect_size=\"49981440\"] \n  39 [size=\"58432853\", alpha=\"0.19\", expect_size=\"17529856\"] \n  40 [size=\"89460053\", alpha=\"0.01\", expect_size=\"26838016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53162667\", alpha=\"0.19\", expect_size=\"15948800\"] \n  1 -> 30 [size =\"15948800\"]\n  1 -> 34 [size =\"15948800\"]\n  2 [size=\"110844587\", alpha=\"0.03\", expect_size=\"33253376\"] \n  2 -> 30 [size =\"33253376\"]\n  2 -> 31 [size =\"33253376\"]\n  2 -> 34 [size =\"33253376\"]\n  2 -> 38 [size =\"33253376\"]\n  2 -> 39 [size =\"33253376\"]\n  3 [size=\"148889600\", alpha=\"0.14\", expect_size=\"44666880\"] \n  3 -> 39 [size =\"44666880\"]\n  4 [size=\"139407360\", alpha=\"0.17\", expect_size=\"41822208\"] \n  4 -> 30 [size =\"41822208\"]\n  4 -> 31 [size =\"41822208\"]\n  5 [size=\"147240960\", alpha=\"0.12\", expect_size=\"44172288\"] \n  5 -> 31 [size =\"44172288\"]\n  5 -> 32 [size =\"44172288\"]\n  5 -> 33 [size =\"44172288\"]\n  5 -> 34 [size =\"44172288\"]\n  5 -> 38 [size =\"44172288\"]\n  5 -> 39 [size =\"44172288\"]\n  6 [size=\"90719573\", alpha=\"0.05\", expect_size=\"27215872\"] \n  6 -> 31 [size =\"27215872\"]\n  6 -> 37 [size =\"27215872\"]\n  6 -> 38 [size =\"27215872\"]\n  6 -> 40 [size =\"27215872\"]\n  7 [size=\"53930667\", alpha=\"0.08\", expect_size=\"16179200\"] \n  7 -> 31 [size =\"16179200\"]\n  7 -> 35 [size =\"16179200\"]\n  7 -> 36 [size =\"16179200\"]\n  7 -> 37 [size =\"16179200\"]\n  7 -> 38 [size =\"16179200\"]\n  7 -> 40 [size =\"16179200\"]\n  8 [size=\"130816000\", alpha=\"0.12\", expect_size=\"39244800\"] \n  8 -> 32 [size =\"39244800\"]\n  8 -> 34 [size =\"39244800\"]\n  8 -> 36 [size =\"39244800\"]\n  8 -> 39 [size =\"39244800\"]\n  9 [size=\"130286933\", alpha=\"0.17\", expect_size=\"39086080\"] \n  9 -> 32 [size =\"39086080\"]\n  9 -> 33 [size =\"39086080\"]\n  10 [size=\"104666453\", alpha=\"0.10\", expect_size=\"31399936\"] \n  10 -> 31 [size =\"31399936\"]\n  10 -> 35 [size =\"31399936\"]\n  10 -> 37 [size =\"31399936\"]\n  10 -> 40 [size =\"31399936\"]\n  11 [size=\"88104960\", alpha=\"0.03\", expect_size=\"26431488\"] \n  11 -> 30 [size =\"26431488\"]\n  11 -> 34 [size =\"26431488\"]\n  11 -> 38 [size =\"26431488\"]\n  12 [size=\"80128000\", alpha=\"0.08\", expect_size=\"24038400\"] \n  12 -> 30 [size =\"24038400\"]\n  12 -> 38 [size =\"24038400\"]\n  12 -> 39 [size =\"24038400\"]\n  13 [size=\"107438080\", alpha=\"0.14\", expect_size=\"32231424\"] \n  13 -> 39 [size =\"32231424\"]\n  14 [size=\"62112427\", alpha=\"0.02\", expect_size=\"18633728\"] \n  14 -> 32 [size =\"18633728\"]\n  14 -> 36 [size =\"18633728\"]\n  14 -> 37 [size =\"18633728\"]\n  14 -> 40 [size =\"18633728\"]\n  15 [size=\"36000427\", alpha=\"0.04\", expect_size=\"10800128\"] \n  15 -> 32 [size =\"10800128\"]\n  15 -> 36 [size =\"10800128\"]\n  15 -> 38 [size =\"10800128\"]\n  16 [size=\"132379307\", alpha=\"0.13\", expect_size=\"39713792\"] \n  16 -> 33 [size =\"39713792\"]\n  16 -> 34 [size =\"39713792\"]\n  16 -> 35 [size =\"39713792\"]\n  16 -> 36 [size =\"39713792\"]\n  16 -> 38 [size =\"39713792\"]\n  17 [size=\"17933653\", alpha=\"0.18\", expect_size=\"5380096\"] \n  17 -> 31 [size =\"5380096\"]\n  17 -> 32 [size =\"5380096\"]\n  17 -> 33 [size =\"5380096\"]\n  17 -> 34 [size =\"5380096\"]\n  17 -> 35 [size =\"5380096\"]\n  17 -> 36 [size =\"5380096\"]\n  17 -> 40 [size =\"5380096\"]\n  18 [size=\"82909867\", alpha=\"0.04\", expect_size=\"24872960\"] \n  18 -> 30 [size =\"24872960\"]\n  18 -> 36 [size =\"24872960\"]\n  18 -> 39 [size =\"24872960\"]\n  19 [size=\"173530453\", alpha=\"0.03\", expect_size=\"52059136\"] \n  19 -> 31 [size =\"52059136\"]\n  19 -> 32 [size =\"52059136\"]\n  19 -> 36 [size =\"52059136\"]\n  19 -> 38 [size =\"52059136\"]\n  19 -> 40 [size =\"52059136\"]\n  20 [size=\"146059947\", alpha=\"0.04\", expect_size=\"43817984\"] \n  20 -> 32 [size =\"43817984\"]\n  20 -> 35 [size =\"43817984\"]\n  20 -> 37 [size =\"43817984\"]\n  20 -> 38 [size =\"43817984\"]\n  20 -> 39 [size =\"43817984\"]\n  20 -> 40 [size =\"43817984\"]\n  21 [size=\"64679253\", alpha=\"0.09\", expect_size=\"19403776\"] \n  21 -> 31 [size =\"19403776\"]\n  21 -> 35 [size =\"19403776\"]\n  21 -> 37 [size =\"19403776\"]\n  21 -> 39 [size =\"19403776\"]\n  22 [size=\"87893333\", alpha=\"0.05\", expect_size=\"26368000\"] \n  22 -> 31 [size =\"26368000\"]\n  22 -> 35 [size =\"26368000\"]\n  22 -> 40 [size =\"26368000\"]\n  23 [size=\"151787520\", alpha=\"0.19\", expect_size=\"45536256\"] \n  23 -> 30 [size =\"45536256\"]\n  23 -> 32 [size =\"45536256\"]\n  23 -> 38 [size =\"45536256\"]\n  24 [size=\"103611733\", alpha=\"0.08\", expect_size=\"31083520\"] \n  24 -> 30 [size =\"31083520\"]\n  24 -> 32 [size =\"31083520\"]\n  24 -> 33 [size =\"31083520\"]\n  25 [size=\"119528107\", alpha=\"0.13\", expect_size=\"35858432\"] \n  25 -> 30 [size =\"35858432\"]\n  25 -> 33 [size =\"35858432\"]\n  25 -> 33 [size =\"35858432\"]\n  25 -> 34 [size =\"35858432\"]\n  25 -> 40 [size =\"35858432\"]\n  26 [size=\"153135787\", alpha=\"0.08\", expect_size=\"45940736\"] \n  26 -> 30 [size =\"45940736\"]\n  26 -> 33 [size =\"45940736\"]\n  26 -> 36 [size =\"45940736\"]\n  26 -> 37 [size =\"45940736\"]\n  26 -> 39 [size =\"45940736\"]\n  27 [size=\"96651947\", alpha=\"0.07\", expect_size=\"28995584\"] \n  27 -> 30 [size =\"28995584\"]\n  27 -> 31 [size =\"28995584\"]\n  27 -> 34 [size =\"28995584\"]\n  27 -> 36 [size =\"28995584\"]\n  27 -> 38 [size =\"28995584\"]\n  28 [size=\"84353707\", alpha=\"0.01\", expect_size=\"25306112\"] \n  28 -> 31 [size =\"25306112\"]\n  28 -> 33 [size =\"25306112\"]\n  28 -> 34 [size =\"25306112\"]\n  29 [size=\"114913280\", alpha=\"0.09\", expect_size=\"34473984\"] \n  29 -> 31 [size =\"34473984\"]\n  30 [size=\"141899093\", alpha=\"0.08\", expect_size=\"42569728\"] \n  31 [size=\"171240107\", alpha=\"0.17\", expect_size=\"51372032\"] \n  32 [size=\"81343147\", alpha=\"0.13\", expect_size=\"24402944\"] \n  33 [size=\"122859520\", alpha=\"0.00\", expect_size=\"36857856\"] \n  34 [size=\"112633173\", alpha=\"0.14\", expect_size=\"33789952\"] \n  35 [size=\"172598613\", alpha=\"0.09\", expect_size=\"51779584\"] \n  36 [size=\"117947733\", alpha=\"0.19\", expect_size=\"35384320\"] \n  37 [size=\"21927253\", alpha=\"0.10\", expect_size=\"6578176\"] \n  38 [size=\"78277973\", alpha=\"0.08\", expect_size=\"23483392\"] \n  39 [size=\"85766827\", alpha=\"0.07\", expect_size=\"25730048\"] \n  40 [size=\"157207893\", alpha=\"0.02\", expect_size=\"47162368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68143787\", alpha=\"0.20\", expect_size=\"20443136\"] \n  1 -> 18 [size =\"20443136\"]\n  1 -> 20 [size =\"20443136\"]\n  1 -> 21 [size =\"20443136\"]\n  1 -> 22 [size =\"20443136\"]\n  1 -> 24 [size =\"20443136\"]\n  1 -> 25 [size =\"20443136\"]\n  2 [size=\"138478933\", alpha=\"0.09\", expect_size=\"41543680\"] \n  2 -> 18 [size =\"41543680\"]\n  2 -> 20 [size =\"41543680\"]\n  2 -> 22 [size =\"41543680\"]\n  2 -> 22 [size =\"41543680\"]\n  2 -> 25 [size =\"41543680\"]\n  3 [size=\"133454507\", alpha=\"0.14\", expect_size=\"40036352\"] \n  3 -> 17 [size =\"40036352\"]\n  3 -> 18 [size =\"40036352\"]\n  3 -> 20 [size =\"40036352\"]\n  3 -> 21 [size =\"40036352\"]\n  3 -> 22 [size =\"40036352\"]\n  3 -> 23 [size =\"40036352\"]\n  3 -> 25 [size =\"40036352\"]\n  4 [size=\"166164480\", alpha=\"0.11\", expect_size=\"49849344\"] \n  4 -> 17 [size =\"49849344\"]\n  4 -> 18 [size =\"49849344\"]\n  4 -> 25 [size =\"49849344\"]\n  5 [size=\"93791573\", alpha=\"0.07\", expect_size=\"28137472\"] \n  5 -> 18 [size =\"28137472\"]\n  5 -> 19 [size =\"28137472\"]\n  5 -> 20 [size =\"28137472\"]\n  5 -> 21 [size =\"28137472\"]\n  5 -> 24 [size =\"28137472\"]\n  5 -> 25 [size =\"28137472\"]\n  6 [size=\"34304000\", alpha=\"0.18\", expect_size=\"10291200\"] \n  6 -> 16 [size =\"10291200\"]\n  6 -> 19 [size =\"10291200\"]\n  6 -> 21 [size =\"10291200\"]\n  6 -> 22 [size =\"10291200\"]\n  6 -> 23 [size =\"10291200\"]\n  6 -> 24 [size =\"10291200\"]\n  7 [size=\"148292267\", alpha=\"0.15\", expect_size=\"44487680\"] \n  7 -> 16 [size =\"44487680\"]\n  7 -> 18 [size =\"44487680\"]\n  7 -> 19 [size =\"44487680\"]\n  7 -> 21 [size =\"44487680\"]\n  8 [size=\"104014507\", alpha=\"0.08\", expect_size=\"31204352\"] \n  8 -> 16 [size =\"31204352\"]\n  8 -> 18 [size =\"31204352\"]\n  8 -> 19 [size =\"31204352\"]\n  8 -> 20 [size =\"31204352\"]\n  8 -> 22 [size =\"31204352\"]\n  8 -> 25 [size =\"31204352\"]\n  9 [size=\"22005760\", alpha=\"0.05\", expect_size=\"6601728\"] \n  9 -> 19 [size =\"6601728\"]\n  9 -> 20 [size =\"6601728\"]\n  9 -> 22 [size =\"6601728\"]\n  9 -> 25 [size =\"6601728\"]\n  10 [size=\"160030720\", alpha=\"0.12\", expect_size=\"48009216\"] \n  10 -> 19 [size =\"48009216\"]\n  10 -> 20 [size =\"48009216\"]\n  10 -> 21 [size =\"48009216\"]\n  10 -> 22 [size =\"48009216\"]\n  10 -> 23 [size =\"48009216\"]\n  10 -> 24 [size =\"48009216\"]\n  10 -> 25 [size =\"48009216\"]\n  11 [size=\"51421867\", alpha=\"0.13\", expect_size=\"15426560\"] \n  11 -> 19 [size =\"15426560\"]\n  11 -> 20 [size =\"15426560\"]\n  11 -> 22 [size =\"15426560\"]\n  11 -> 24 [size =\"15426560\"]\n  11 -> 25 [size =\"15426560\"]\n  12 [size=\"49199787\", alpha=\"0.02\", expect_size=\"14759936\"] \n  12 -> 16 [size =\"14759936\"]\n  12 -> 19 [size =\"14759936\"]\n  12 -> 20 [size =\"14759936\"]\n  12 -> 21 [size =\"14759936\"]\n  12 -> 22 [size =\"14759936\"]\n  12 -> 23 [size =\"14759936\"]\n  12 -> 25 [size =\"14759936\"]\n  13 [size=\"122040320\", alpha=\"0.14\", expect_size=\"36612096\"] \n  13 -> 20 [size =\"36612096\"]\n  14 [size=\"77646507\", alpha=\"0.01\", expect_size=\"23293952\"] \n  14 -> 18 [size =\"23293952\"]\n  14 -> 20 [size =\"23293952\"]\n  14 -> 23 [size =\"23293952\"]\n  14 -> 24 [size =\"23293952\"]\n  15 [size=\"162747733\", alpha=\"0.01\", expect_size=\"48824320\"] \n  15 -> 20 [size =\"48824320\"]\n  15 -> 20 [size =\"48824320\"]\n  15 -> 23 [size =\"48824320\"]\n  16 [size=\"56589653\", alpha=\"0.09\", expect_size=\"16976896\"] \n  16 -> 27 [size =\"16976896\"]\n  16 -> 30 [size =\"16976896\"]\n  16 -> 31 [size =\"16976896\"]\n  16 -> 36 [size =\"16976896\"]\n  17 [size=\"41376427\", alpha=\"0.08\", expect_size=\"12412928\"] \n  17 -> 28 [size =\"12412928\"]\n  17 -> 31 [size =\"12412928\"]\n  17 -> 32 [size =\"12412928\"]\n  17 -> 33 [size =\"12412928\"]\n  17 -> 36 [size =\"12412928\"]\n  18 [size=\"159112533\", alpha=\"0.11\", expect_size=\"47733760\"] \n  18 -> 26 [size =\"47733760\"]\n  18 -> 28 [size =\"47733760\"]\n  18 -> 32 [size =\"47733760\"]\n  18 -> 35 [size =\"47733760\"]\n  18 -> 36 [size =\"47733760\"]\n  19 [size=\"62965760\", alpha=\"0.15\", expect_size=\"18889728\"] \n  19 -> 28 [size =\"18889728\"]\n  19 -> 28 [size =\"18889728\"]\n  19 -> 30 [size =\"18889728\"]\n  19 -> 31 [size =\"18889728\"]\n  19 -> 32 [size =\"18889728\"]\n  19 -> 33 [size =\"18889728\"]\n  19 -> 36 [size =\"18889728\"]\n  20 [size=\"105704107\", alpha=\"0.04\", expect_size=\"31711232\"] \n  20 -> 27 [size =\"31711232\"]\n  20 -> 30 [size =\"31711232\"]\n  20 -> 34 [size =\"31711232\"]\n  20 -> 36 [size =\"31711232\"]\n  21 [size=\"44195840\", alpha=\"0.19\", expect_size=\"13258752\"] \n  21 -> 26 [size =\"13258752\"]\n  21 -> 27 [size =\"13258752\"]\n  21 -> 31 [size =\"13258752\"]\n  21 -> 34 [size =\"13258752\"]\n  21 -> 36 [size =\"13258752\"]\n  22 [size=\"146469547\", alpha=\"0.09\", expect_size=\"43940864\"] \n  22 -> 26 [size =\"43940864\"]\n  22 -> 28 [size =\"43940864\"]\n  22 -> 29 [size =\"43940864\"]\n  22 -> 33 [size =\"43940864\"]\n  22 -> 34 [size =\"43940864\"]\n  22 -> 36 [size =\"43940864\"]\n  23 [size=\"162805760\", alpha=\"0.15\", expect_size=\"48841728\"] \n  23 -> 27 [size =\"48841728\"]\n  23 -> 28 [size =\"48841728\"]\n  23 -> 30 [size =\"48841728\"]\n  23 -> 34 [size =\"48841728\"]\n  23 -> 36 [size =\"48841728\"]\n  24 [size=\"117418667\", alpha=\"0.19\", expect_size=\"35225600\"] \n  24 -> 28 [size =\"35225600\"]\n  24 -> 28 [size =\"35225600\"]\n  24 -> 33 [size =\"35225600\"]\n  24 -> 35 [size =\"35225600\"]\n  25 [size=\"122112000\", alpha=\"0.13\", expect_size=\"36633600\"] \n  25 -> 28 [size =\"36633600\"]\n  25 -> 31 [size =\"36633600\"]\n  25 -> 36 [size =\"36633600\"]\n  26 [size=\"127781547\", alpha=\"0.08\", expect_size=\"38334464\"] \n  26 -> 40 [size =\"38334464\"]\n  27 [size=\"37625173\", alpha=\"0.01\", expect_size=\"11287552\"] \n  27 -> 40 [size =\"11287552\"]\n  28 [size=\"101550080\", alpha=\"0.05\", expect_size=\"30465024\"] \n  28 -> 40 [size =\"30465024\"]\n  29 [size=\"32815787\", alpha=\"0.09\", expect_size=\"9844736\"] \n  29 -> 40 [size =\"9844736\"]\n  30 [size=\"153668267\", alpha=\"0.11\", expect_size=\"46100480\"] \n  30 -> 38 [size =\"46100480\"]\n  30 -> 40 [size =\"46100480\"]\n  31 [size=\"27630933\", alpha=\"0.18\", expect_size=\"8289280\"] \n  31 -> 37 [size =\"8289280\"]\n  32 [size=\"19944107\", alpha=\"0.08\", expect_size=\"5983232\"] \n  33 [size=\"94327467\", alpha=\"0.12\", expect_size=\"28298240\"] \n  33 -> 39 [size =\"28298240\"]\n  34 [size=\"52183040\", alpha=\"0.04\", expect_size=\"15654912\"] \n  35 [size=\"42209280\", alpha=\"0.14\", expect_size=\"12662784\"] \n  36 [size=\"140711253\", alpha=\"0.09\", expect_size=\"42213376\"] \n  37 [size=\"49954133\", alpha=\"0.07\", expect_size=\"14986240\"] \n  38 [size=\"58036907\", alpha=\"0.03\", expect_size=\"17411072\"] \n  39 [size=\"94218240\", alpha=\"0.05\", expect_size=\"28265472\"] \n  40 [size=\"163031040\", alpha=\"0.18\", expect_size=\"48909312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75153408\", alpha=\"0.14\", expect_size=\"37576704\"] \n  1 -> 8 [size =\"37576704\"]\n  1 -> 11 [size =\"37576704\"]\n  1 -> 12 [size =\"37576704\"]\n  1 -> 15 [size =\"37576704\"]\n  1 -> 16 [size =\"37576704\"]\n  1 -> 17 [size =\"37576704\"]\n  1 -> 20 [size =\"37576704\"]\n  2 [size=\"91023360\", alpha=\"0.13\", expect_size=\"45511680\"] \n  2 -> 8 [size =\"45511680\"]\n  2 -> 11 [size =\"45511680\"]\n  2 -> 12 [size =\"45511680\"]\n  2 -> 13 [size =\"45511680\"]\n  2 -> 14 [size =\"45511680\"]\n  2 -> 16 [size =\"45511680\"]\n  2 -> 17 [size =\"45511680\"]\n  2 -> 19 [size =\"45511680\"]\n  2 -> 20 [size =\"45511680\"]\n  3 [size=\"33998848\", alpha=\"0.10\", expect_size=\"16999424\"] \n  3 -> 11 [size =\"16999424\"]\n  3 -> 11 [size =\"16999424\"]\n  3 -> 12 [size =\"16999424\"]\n  3 -> 14 [size =\"16999424\"]\n  3 -> 16 [size =\"16999424\"]\n  4 [size=\"61478912\", alpha=\"0.09\", expect_size=\"30739456\"] \n  4 -> 8 [size =\"30739456\"]\n  4 -> 10 [size =\"30739456\"]\n  4 -> 11 [size =\"30739456\"]\n  4 -> 13 [size =\"30739456\"]\n  4 -> 14 [size =\"30739456\"]\n  4 -> 15 [size =\"30739456\"]\n  4 -> 16 [size =\"30739456\"]\n  4 -> 19 [size =\"30739456\"]\n  5 [size=\"89593856\", alpha=\"0.14\", expect_size=\"44796928\"] \n  5 -> 8 [size =\"44796928\"]\n  5 -> 9 [size =\"44796928\"]\n  5 -> 10 [size =\"44796928\"]\n  5 -> 11 [size =\"44796928\"]\n  5 -> 12 [size =\"44796928\"]\n  5 -> 13 [size =\"44796928\"]\n  5 -> 16 [size =\"44796928\"]\n  5 -> 17 [size =\"44796928\"]\n  5 -> 20 [size =\"44796928\"]\n  6 [size=\"49993728\", alpha=\"0.00\", expect_size=\"24996864\"] \n  6 -> 8 [size =\"24996864\"]\n  6 -> 9 [size =\"24996864\"]\n  6 -> 10 [size =\"24996864\"]\n  6 -> 12 [size =\"24996864\"]\n  6 -> 13 [size =\"24996864\"]\n  6 -> 13 [size =\"24996864\"]\n  6 -> 15 [size =\"24996864\"]\n  6 -> 16 [size =\"24996864\"]\n  6 -> 18 [size =\"24996864\"]\n  6 -> 19 [size =\"24996864\"]\n  6 -> 20 [size =\"24996864\"]\n  7 [size=\"78727168\", alpha=\"0.14\", expect_size=\"39363584\"] \n  7 -> 8 [size =\"39363584\"]\n  7 -> 10 [size =\"39363584\"]\n  7 -> 11 [size =\"39363584\"]\n  7 -> 12 [size =\"39363584\"]\n  7 -> 13 [size =\"39363584\"]\n  7 -> 15 [size =\"39363584\"]\n  7 -> 16 [size =\"39363584\"]\n  7 -> 18 [size =\"39363584\"]\n  7 -> 18 [size =\"39363584\"]\n  7 -> 19 [size =\"39363584\"]\n  7 -> 20 [size =\"39363584\"]\n  8 [size=\"56918016\", alpha=\"0.05\", expect_size=\"28459008\"] \n  8 -> 21 [size =\"28459008\"]\n  8 -> 22 [size =\"28459008\"]\n  8 -> 23 [size =\"28459008\"]\n  8 -> 25 [size =\"28459008\"]\n  8 -> 26 [size =\"28459008\"]\n  8 -> 29 [size =\"28459008\"]\n  8 -> 30 [size =\"28459008\"]\n  8 -> 31 [size =\"28459008\"]\n  9 [size=\"75984896\", alpha=\"0.10\", expect_size=\"37992448\"] \n  9 -> 22 [size =\"37992448\"]\n  9 -> 24 [size =\"37992448\"]\n  9 -> 25 [size =\"37992448\"]\n  9 -> 26 [size =\"37992448\"]\n  9 -> 26 [size =\"37992448\"]\n  10 [size=\"84547584\", alpha=\"0.19\", expect_size=\"42273792\"] \n  10 -> 21 [size =\"42273792\"]\n  10 -> 22 [size =\"42273792\"]\n  10 -> 23 [size =\"42273792\"]\n  10 -> 24 [size =\"42273792\"]\n  10 -> 25 [size =\"42273792\"]\n  10 -> 26 [size =\"42273792\"]\n  10 -> 27 [size =\"42273792\"]\n  10 -> 32 [size =\"42273792\"]\n  11 [size=\"32225280\", alpha=\"0.18\", expect_size=\"16112640\"] \n  11 -> 21 [size =\"16112640\"]\n  11 -> 23 [size =\"16112640\"]\n  11 -> 23 [size =\"16112640\"]\n  11 -> 26 [size =\"16112640\"]\n  11 -> 32 [size =\"16112640\"]\n  12 [size=\"98580480\", alpha=\"0.09\", expect_size=\"49290240\"] \n  12 -> 21 [size =\"49290240\"]\n  12 -> 25 [size =\"49290240\"]\n  12 -> 26 [size =\"49290240\"]\n  12 -> 27 [size =\"49290240\"]\n  12 -> 32 [size =\"49290240\"]\n  13 [size=\"63371264\", alpha=\"0.18\", expect_size=\"31685632\"] \n  13 -> 28 [size =\"31685632\"]\n  13 -> 32 [size =\"31685632\"]\n  14 [size=\"17502208\", alpha=\"0.14\", expect_size=\"8751104\"] \n  14 -> 21 [size =\"8751104\"]\n  14 -> 23 [size =\"8751104\"]\n  14 -> 27 [size =\"8751104\"]\n  14 -> 32 [size =\"8751104\"]\n  15 [size=\"60239872\", alpha=\"0.04\", expect_size=\"30119936\"] \n  15 -> 21 [size =\"30119936\"]\n  15 -> 22 [size =\"30119936\"]\n  15 -> 23 [size =\"30119936\"]\n  15 -> 26 [size =\"30119936\"]\n  15 -> 28 [size =\"30119936\"]\n  15 -> 29 [size =\"30119936\"]\n  15 -> 32 [size =\"30119936\"]\n  16 [size=\"32204800\", alpha=\"0.15\", expect_size=\"16102400\"] \n  16 -> 21 [size =\"16102400\"]\n  16 -> 24 [size =\"16102400\"]\n  16 -> 26 [size =\"16102400\"]\n  16 -> 29 [size =\"16102400\"]\n  16 -> 31 [size =\"16102400\"]\n  16 -> 32 [size =\"16102400\"]\n  16 -> 32 [size =\"16102400\"]\n  17 [size=\"32372736\", alpha=\"0.09\", expect_size=\"16186368\"] \n  17 -> 23 [size =\"16186368\"]\n  17 -> 25 [size =\"16186368\"]\n  17 -> 27 [size =\"16186368\"]\n  17 -> 29 [size =\"16186368\"]\n  17 -> 30 [size =\"16186368\"]\n  17 -> 31 [size =\"16186368\"]\n  17 -> 32 [size =\"16186368\"]\n  18 [size=\"98068480\", alpha=\"0.10\", expect_size=\"49034240\"] \n  18 -> 23 [size =\"49034240\"]\n  18 -> 24 [size =\"49034240\"]\n  18 -> 29 [size =\"49034240\"]\n  18 -> 29 [size =\"49034240\"]\n  18 -> 31 [size =\"49034240\"]\n  18 -> 32 [size =\"49034240\"]\n  19 [size=\"28811264\", alpha=\"0.06\", expect_size=\"14405632\"] \n  19 -> 21 [size =\"14405632\"]\n  19 -> 22 [size =\"14405632\"]\n  19 -> 23 [size =\"14405632\"]\n  19 -> 24 [size =\"14405632\"]\n  20 [size=\"74840064\", alpha=\"0.14\", expect_size=\"37420032\"] \n  20 -> 22 [size =\"37420032\"]\n  20 -> 23 [size =\"37420032\"]\n  20 -> 24 [size =\"37420032\"]\n  20 -> 24 [size =\"37420032\"]\n  20 -> 25 [size =\"37420032\"]\n  20 -> 26 [size =\"37420032\"]\n  20 -> 27 [size =\"37420032\"]\n  20 -> 31 [size =\"37420032\"]\n  21 [size=\"67973120\", alpha=\"0.15\", expect_size=\"33986560\"] \n  21 -> 34 [size =\"33986560\"]\n  21 -> 37 [size =\"33986560\"]\n  21 -> 39 [size =\"33986560\"]\n  22 [size=\"59146240\", alpha=\"0.13\", expect_size=\"29573120\"] \n  22 -> 37 [size =\"29573120\"]\n  22 -> 39 [size =\"29573120\"]\n  22 -> 39 [size =\"29573120\"]\n  23 [size=\"103184384\", alpha=\"0.16\", expect_size=\"51592192\"] \n  23 -> 33 [size =\"51592192\"]\n  23 -> 35 [size =\"51592192\"]\n  23 -> 39 [size =\"51592192\"]\n  23 -> 40 [size =\"51592192\"]\n  24 [size=\"93042688\", alpha=\"0.09\", expect_size=\"46521344\"] \n  24 -> 37 [size =\"46521344\"]\n  24 -> 39 [size =\"46521344\"]\n  24 -> 40 [size =\"46521344\"]\n  25 [size=\"63547392\", alpha=\"0.00\", expect_size=\"31773696\"] \n  25 -> 34 [size =\"31773696\"]\n  25 -> 35 [size =\"31773696\"]\n  25 -> 39 [size =\"31773696\"]\n  26 [size=\"83744768\", alpha=\"0.19\", expect_size=\"41872384\"] \n  26 -> 33 [size =\"41872384\"]\n  26 -> 38 [size =\"41872384\"]\n  26 -> 39 [size =\"41872384\"]\n  27 [size=\"59156480\", alpha=\"0.12\", expect_size=\"29578240\"] \n  27 -> 36 [size =\"29578240\"]\n  27 -> 38 [size =\"29578240\"]\n  27 -> 39 [size =\"29578240\"]\n  28 [size=\"101531648\", alpha=\"0.16\", expect_size=\"50765824\"] \n  28 -> 33 [size =\"50765824\"]\n  28 -> 34 [size =\"50765824\"]\n  28 -> 37 [size =\"50765824\"]\n  28 -> 40 [size =\"50765824\"]\n  29 [size=\"55296000\", alpha=\"0.13\", expect_size=\"27648000\"] \n  29 -> 33 [size =\"27648000\"]\n  29 -> 35 [size =\"27648000\"]\n  29 -> 37 [size =\"27648000\"]\n  29 -> 40 [size =\"27648000\"]\n  30 [size=\"85936128\", alpha=\"0.06\", expect_size=\"42968064\"] \n  30 -> 33 [size =\"42968064\"]\n  30 -> 39 [size =\"42968064\"]\n  31 [size=\"56330240\", alpha=\"0.03\", expect_size=\"28165120\"] \n  31 -> 34 [size =\"28165120\"]\n  31 -> 35 [size =\"28165120\"]\n  31 -> 39 [size =\"28165120\"]\n  32 [size=\"31145984\", alpha=\"0.19\", expect_size=\"15572992\"] \n  32 -> 34 [size =\"15572992\"]\n  32 -> 38 [size =\"15572992\"]\n  33 [size=\"90925056\", alpha=\"0.06\", expect_size=\"45462528\"] \n  34 [size=\"70434816\", alpha=\"0.15\", expect_size=\"35217408\"] \n  35 [size=\"20674560\", alpha=\"0.14\", expect_size=\"10337280\"] \n  36 [size=\"20750336\", alpha=\"0.18\", expect_size=\"10375168\"] \n  37 [size=\"15802368\", alpha=\"0.07\", expect_size=\"7901184\"] \n  38 [size=\"74067968\", alpha=\"0.14\", expect_size=\"37033984\"] \n  39 [size=\"53241856\", alpha=\"0.05\", expect_size=\"26620928\"] \n  40 [size=\"18821120\", alpha=\"0.10\", expect_size=\"9410560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61902848\", alpha=\"0.11\", expect_size=\"30951424\"] \n  1 -> 30 [size =\"30951424\"]\n  1 -> 31 [size =\"30951424\"]\n  1 -> 32 [size =\"30951424\"]\n  1 -> 33 [size =\"30951424\"]\n  1 -> 36 [size =\"30951424\"]\n  1 -> 38 [size =\"30951424\"]\n  2 [size=\"50206720\", alpha=\"0.19\", expect_size=\"25103360\"] \n  2 -> 30 [size =\"25103360\"]\n  2 -> 31 [size =\"25103360\"]\n  2 -> 32 [size =\"25103360\"]\n  2 -> 38 [size =\"25103360\"]\n  3 [size=\"73820160\", alpha=\"0.05\", expect_size=\"36910080\"] \n  3 -> 29 [size =\"36910080\"]\n  3 -> 31 [size =\"36910080\"]\n  3 -> 32 [size =\"36910080\"]\n  3 -> 36 [size =\"36910080\"]\n  3 -> 38 [size =\"36910080\"]\n  4 [size=\"81227776\", alpha=\"0.13\", expect_size=\"40613888\"] \n  4 -> 29 [size =\"40613888\"]\n  4 -> 32 [size =\"40613888\"]\n  4 -> 33 [size =\"40613888\"]\n  4 -> 36 [size =\"40613888\"]\n  4 -> 39 [size =\"40613888\"]\n  5 [size=\"36722688\", alpha=\"0.04\", expect_size=\"18361344\"] \n  5 -> 29 [size =\"18361344\"]\n  5 -> 32 [size =\"18361344\"]\n  5 -> 33 [size =\"18361344\"]\n  5 -> 34 [size =\"18361344\"]\n  5 -> 36 [size =\"18361344\"]\n  5 -> 39 [size =\"18361344\"]\n  6 [size=\"62857216\", alpha=\"0.05\", expect_size=\"31428608\"] \n  6 -> 29 [size =\"31428608\"]\n  6 -> 33 [size =\"31428608\"]\n  6 -> 34 [size =\"31428608\"]\n  6 -> 34 [size =\"31428608\"]\n  6 -> 36 [size =\"31428608\"]\n  7 [size=\"26517504\", alpha=\"0.13\", expect_size=\"13258752\"] \n  7 -> 29 [size =\"13258752\"]\n  7 -> 32 [size =\"13258752\"]\n  7 -> 33 [size =\"13258752\"]\n  7 -> 34 [size =\"13258752\"]\n  7 -> 35 [size =\"13258752\"]\n  7 -> 36 [size =\"13258752\"]\n  7 -> 38 [size =\"13258752\"]\n  7 -> 39 [size =\"13258752\"]\n  8 [size=\"53094400\", alpha=\"0.09\", expect_size=\"26547200\"] \n  8 -> 29 [size =\"26547200\"]\n  8 -> 31 [size =\"26547200\"]\n  8 -> 33 [size =\"26547200\"]\n  8 -> 36 [size =\"26547200\"]\n  8 -> 39 [size =\"26547200\"]\n  9 [size=\"102983680\", alpha=\"0.18\", expect_size=\"51491840\"] \n  9 -> 29 [size =\"51491840\"]\n  9 -> 30 [size =\"51491840\"]\n  9 -> 31 [size =\"51491840\"]\n  9 -> 32 [size =\"51491840\"]\n  9 -> 36 [size =\"51491840\"]\n  9 -> 39 [size =\"51491840\"]\n  10 [size=\"52172800\", alpha=\"0.14\", expect_size=\"26086400\"] \n  10 -> 31 [size =\"26086400\"]\n  10 -> 33 [size =\"26086400\"]\n  10 -> 36 [size =\"26086400\"]\n  11 [size=\"87377920\", alpha=\"0.05\", expect_size=\"43688960\"] \n  11 -> 29 [size =\"43688960\"]\n  11 -> 31 [size =\"43688960\"]\n  11 -> 33 [size =\"43688960\"]\n  11 -> 34 [size =\"43688960\"]\n  11 -> 36 [size =\"43688960\"]\n  11 -> 38 [size =\"43688960\"]\n  11 -> 39 [size =\"43688960\"]\n  12 [size=\"45215744\", alpha=\"0.04\", expect_size=\"22607872\"] \n  12 -> 31 [size =\"22607872\"]\n  12 -> 31 [size =\"22607872\"]\n  12 -> 32 [size =\"22607872\"]\n  12 -> 33 [size =\"22607872\"]\n  12 -> 38 [size =\"22607872\"]\n  12 -> 39 [size =\"22607872\"]\n  13 [size=\"39874560\", alpha=\"0.10\", expect_size=\"19937280\"] \n  13 -> 29 [size =\"19937280\"]\n  13 -> 30 [size =\"19937280\"]\n  13 -> 31 [size =\"19937280\"]\n  13 -> 32 [size =\"19937280\"]\n  13 -> 33 [size =\"19937280\"]\n  13 -> 36 [size =\"19937280\"]\n  13 -> 38 [size =\"19937280\"]\n  13 -> 39 [size =\"19937280\"]\n  13 -> 40 [size =\"19937280\"]\n  14 [size=\"65175552\", alpha=\"0.06\", expect_size=\"32587776\"] \n  14 -> 29 [size =\"32587776\"]\n  14 -> 32 [size =\"32587776\"]\n  14 -> 33 [size =\"32587776\"]\n  14 -> 36 [size =\"32587776\"]\n  14 -> 38 [size =\"32587776\"]\n  14 -> 40 [size =\"32587776\"]\n  15 [size=\"31576064\", alpha=\"0.14\", expect_size=\"15788032\"] \n  15 -> 29 [size =\"15788032\"]\n  15 -> 31 [size =\"15788032\"]\n  15 -> 33 [size =\"15788032\"]\n  15 -> 36 [size =\"15788032\"]\n  15 -> 38 [size =\"15788032\"]\n  15 -> 39 [size =\"15788032\"]\n  16 [size=\"50610176\", alpha=\"0.06\", expect_size=\"25305088\"] \n  16 -> 29 [size =\"25305088\"]\n  16 -> 30 [size =\"25305088\"]\n  16 -> 31 [size =\"25305088\"]\n  16 -> 32 [size =\"25305088\"]\n  16 -> 33 [size =\"25305088\"]\n  16 -> 36 [size =\"25305088\"]\n  16 -> 38 [size =\"25305088\"]\n  17 [size=\"73515008\", alpha=\"0.18\", expect_size=\"36757504\"] \n  17 -> 29 [size =\"36757504\"]\n  17 -> 30 [size =\"36757504\"]\n  17 -> 31 [size =\"36757504\"]\n  17 -> 32 [size =\"36757504\"]\n  17 -> 33 [size =\"36757504\"]\n  17 -> 34 [size =\"36757504\"]\n  17 -> 38 [size =\"36757504\"]\n  17 -> 39 [size =\"36757504\"]\n  18 [size=\"38539264\", alpha=\"0.01\", expect_size=\"19269632\"] \n  18 -> 29 [size =\"19269632\"]\n  18 -> 31 [size =\"19269632\"]\n  18 -> 32 [size =\"19269632\"]\n  18 -> 33 [size =\"19269632\"]\n  18 -> 33 [size =\"19269632\"]\n  18 -> 36 [size =\"19269632\"]\n  18 -> 38 [size =\"19269632\"]\n  18 -> 39 [size =\"19269632\"]\n  19 [size=\"81154048\", alpha=\"0.04\", expect_size=\"40577024\"] \n  19 -> 29 [size =\"40577024\"]\n  19 -> 31 [size =\"40577024\"]\n  19 -> 32 [size =\"40577024\"]\n  19 -> 33 [size =\"40577024\"]\n  19 -> 36 [size =\"40577024\"]\n  19 -> 39 [size =\"40577024\"]\n  19 -> 40 [size =\"40577024\"]\n  20 [size=\"69867520\", alpha=\"0.09\", expect_size=\"34933760\"] \n  20 -> 29 [size =\"34933760\"]\n  20 -> 32 [size =\"34933760\"]\n  20 -> 33 [size =\"34933760\"]\n  20 -> 36 [size =\"34933760\"]\n  20 -> 38 [size =\"34933760\"]\n  20 -> 39 [size =\"34933760\"]\n  21 [size=\"40450048\", alpha=\"0.04\", expect_size=\"20225024\"] \n  21 -> 31 [size =\"20225024\"]\n  21 -> 32 [size =\"20225024\"]\n  21 -> 36 [size =\"20225024\"]\n  21 -> 36 [size =\"20225024\"]\n  21 -> 38 [size =\"20225024\"]\n  21 -> 39 [size =\"20225024\"]\n  22 [size=\"66359296\", alpha=\"0.08\", expect_size=\"33179648\"] \n  22 -> 30 [size =\"33179648\"]\n  22 -> 31 [size =\"33179648\"]\n  22 -> 33 [size =\"33179648\"]\n  22 -> 34 [size =\"33179648\"]\n  22 -> 36 [size =\"33179648\"]\n  22 -> 38 [size =\"33179648\"]\n  22 -> 39 [size =\"33179648\"]\n  23 [size=\"85256192\", alpha=\"0.05\", expect_size=\"42628096\"] \n  23 -> 32 [size =\"42628096\"]\n  23 -> 33 [size =\"42628096\"]\n  23 -> 34 [size =\"42628096\"]\n  23 -> 38 [size =\"42628096\"]\n  23 -> 39 [size =\"42628096\"]\n  24 [size=\"37801984\", alpha=\"0.17\", expect_size=\"18900992\"] \n  24 -> 29 [size =\"18900992\"]\n  24 -> 31 [size =\"18900992\"]\n  24 -> 32 [size =\"18900992\"]\n  24 -> 33 [size =\"18900992\"]\n  24 -> 34 [size =\"18900992\"]\n  24 -> 38 [size =\"18900992\"]\n  24 -> 39 [size =\"18900992\"]\n  25 [size=\"67481600\", alpha=\"0.15\", expect_size=\"33740800\"] \n  25 -> 29 [size =\"33740800\"]\n  25 -> 32 [size =\"33740800\"]\n  25 -> 33 [size =\"33740800\"]\n  25 -> 34 [size =\"33740800\"]\n  25 -> 36 [size =\"33740800\"]\n  25 -> 38 [size =\"33740800\"]\n  26 [size=\"37992448\", alpha=\"0.03\", expect_size=\"18996224\"] \n  26 -> 29 [size =\"18996224\"]\n  26 -> 33 [size =\"18996224\"]\n  26 -> 36 [size =\"18996224\"]\n  26 -> 37 [size =\"18996224\"]\n  26 -> 38 [size =\"18996224\"]\n  26 -> 38 [size =\"18996224\"]\n  27 [size=\"64227328\", alpha=\"0.16\", expect_size=\"32113664\"] \n  27 -> 29 [size =\"32113664\"]\n  27 -> 30 [size =\"32113664\"]\n  27 -> 31 [size =\"32113664\"]\n  27 -> 33 [size =\"32113664\"]\n  27 -> 36 [size =\"32113664\"]\n  27 -> 38 [size =\"32113664\"]\n  27 -> 39 [size =\"32113664\"]\n  28 [size=\"53800960\", alpha=\"0.17\", expect_size=\"26900480\"] \n  28 -> 29 [size =\"26900480\"]\n  28 -> 31 [size =\"26900480\"]\n  28 -> 33 [size =\"26900480\"]\n  28 -> 33 [size =\"26900480\"]\n  28 -> 34 [size =\"26900480\"]\n  28 -> 36 [size =\"26900480\"]\n  28 -> 38 [size =\"26900480\"]\n  29 [size=\"58173440\", alpha=\"0.18\", expect_size=\"29086720\"] \n  30 [size=\"77531136\", alpha=\"0.07\", expect_size=\"38765568\"] \n  31 [size=\"23429120\", alpha=\"0.13\", expect_size=\"11714560\"] \n  32 [size=\"41654272\", alpha=\"0.07\", expect_size=\"20827136\"] \n  33 [size=\"77557760\", alpha=\"0.06\", expect_size=\"38778880\"] \n  34 [size=\"100102144\", alpha=\"0.18\", expect_size=\"50051072\"] \n  35 [size=\"85661696\", alpha=\"0.13\", expect_size=\"42830848\"] \n  36 [size=\"60475392\", alpha=\"0.17\", expect_size=\"30237696\"] \n  37 [size=\"76910592\", alpha=\"0.15\", expect_size=\"38455296\"] \n  38 [size=\"56629248\", alpha=\"0.18\", expect_size=\"28314624\"] \n  39 [size=\"42242048\", alpha=\"0.17\", expect_size=\"21121024\"] \n  40 [size=\"31875072\", alpha=\"0.08\", expect_size=\"15937536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61626880\", alpha=\"0.06\", expect_size=\"24650752\"] \n  1 -> 2 [size =\"24650752\"]\n  2 [size=\"16371200\", alpha=\"0.11\", expect_size=\"6548480\"] \n  2 -> 3 [size =\"6548480\"]\n  3 [size=\"50347520\", alpha=\"0.03\", expect_size=\"20139008\"] \n  3 -> 4 [size =\"20139008\"]\n  4 [size=\"106022400\", alpha=\"0.19\", expect_size=\"42408960\"] \n  4 -> 5 [size =\"42408960\"]\n  5 [size=\"13324800\", alpha=\"0.03\", expect_size=\"5329920\"] \n  5 -> 6 [size =\"5329920\"]\n  6 [size=\"85186560\", alpha=\"0.01\", expect_size=\"34074624\"] \n  6 -> 7 [size =\"34074624\"]\n  7 [size=\"31119360\", alpha=\"0.02\", expect_size=\"12447744\"] \n  7 -> 8 [size =\"12447744\"]\n  8 [size=\"83489280\", alpha=\"0.07\", expect_size=\"33395712\"] \n  8 -> 9 [size =\"33395712\"]\n  9 [size=\"35381760\", alpha=\"0.10\", expect_size=\"14152704\"] \n  9 -> 10 [size =\"14152704\"]\n  10 [size=\"88752640\", alpha=\"0.14\", expect_size=\"35501056\"] \n  10 -> 11 [size =\"35501056\"]\n  11 [size=\"57116160\", alpha=\"0.14\", expect_size=\"22846464\"] \n  11 -> 12 [size =\"22846464\"]\n  12 [size=\"92733440\", alpha=\"0.19\", expect_size=\"37093376\"] \n  12 -> 13 [size =\"37093376\"]\n  13 [size=\"40739840\", alpha=\"0.05\", expect_size=\"16295936\"] \n  13 -> 14 [size =\"16295936\"]\n  14 [size=\"57016320\", alpha=\"0.12\", expect_size=\"22806528\"] \n  14 -> 15 [size =\"22806528\"]\n  15 [size=\"50754560\", alpha=\"0.20\", expect_size=\"20301824\"] \n  15 -> 16 [size =\"20301824\"]\n  16 [size=\"66544640\", alpha=\"0.15\", expect_size=\"26617856\"] \n  16 -> 17 [size =\"26617856\"]\n  17 [size=\"69529600\", alpha=\"0.12\", expect_size=\"27811840\"] \n  17 -> 18 [size =\"27811840\"]\n  18 [size=\"79539200\", alpha=\"0.10\", expect_size=\"31815680\"] \n  18 -> 19 [size =\"31815680\"]\n  19 [size=\"119833600\", alpha=\"0.05\", expect_size=\"47933440\"] \n  19 -> 20 [size =\"47933440\"]\n  20 [size=\"62878720\", alpha=\"0.08\", expect_size=\"25151488\"] \n  20 -> 21 [size =\"25151488\"]\n  21 [size=\"30246400\", alpha=\"0.20\", expect_size=\"12098560\"] \n  21 -> 22 [size =\"12098560\"]\n  22 [size=\"114370560\", alpha=\"0.12\", expect_size=\"45748224\"] \n  22 -> 23 [size =\"45748224\"]\n  23 [size=\"108037120\", alpha=\"0.10\", expect_size=\"43214848\"] \n  23 -> 24 [size =\"43214848\"]\n  24 [size=\"18332160\", alpha=\"0.05\", expect_size=\"7332864\"] \n  24 -> 25 [size =\"7332864\"]\n  25 [size=\"88335360\", alpha=\"0.19\", expect_size=\"35334144\"] \n  25 -> 26 [size =\"35334144\"]\n  26 [size=\"85442560\", alpha=\"0.06\", expect_size=\"34177024\"] \n  26 -> 27 [size =\"34177024\"]\n  27 [size=\"57088000\", alpha=\"0.15\", expect_size=\"22835200\"] \n  27 -> 28 [size =\"22835200\"]\n  28 [size=\"127828480\", alpha=\"0.17\", expect_size=\"51131392\"] \n  28 -> 29 [size =\"51131392\"]\n  29 [size=\"71009280\", alpha=\"0.02\", expect_size=\"28403712\"] \n  29 -> 30 [size =\"28403712\"]\n  30 [size=\"99315200\", alpha=\"0.20\", expect_size=\"39726080\"] \n  30 -> 31 [size =\"39726080\"]\n  31 [size=\"29685760\", alpha=\"0.05\", expect_size=\"11874304\"] \n  31 -> 32 [size =\"11874304\"]\n  32 [size=\"28600320\", alpha=\"0.04\", expect_size=\"11440128\"] \n  32 -> 33 [size =\"11440128\"]\n  33 [size=\"99325440\", alpha=\"0.08\", expect_size=\"39730176\"] \n  33 -> 34 [size =\"39730176\"]\n  34 [size=\"43176960\", alpha=\"0.19\", expect_size=\"17270784\"] \n  34 -> 35 [size =\"17270784\"]\n  35 [size=\"71032320\", alpha=\"0.17\", expect_size=\"28412928\"] \n  35 -> 36 [size =\"28412928\"]\n  36 [size=\"65149440\", alpha=\"0.04\", expect_size=\"26059776\"] \n  36 -> 37 [size =\"26059776\"]\n  37 [size=\"97600000\", alpha=\"0.20\", expect_size=\"39040000\"] \n  37 -> 38 [size =\"39040000\"]\n  38 [size=\"68439040\", alpha=\"0.07\", expect_size=\"27375616\"] \n  38 -> 39 [size =\"27375616\"]\n  39 [size=\"48048640\", alpha=\"0.13\", expect_size=\"19219456\"] \n  39 -> 40 [size =\"19219456\"]\n  40 [size=\"58703360\", alpha=\"0.07\", expect_size=\"23481344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44636160\", alpha=\"0.19\", expect_size=\"17854464\"] \n  1 -> 2 [size =\"17854464\"]\n  2 [size=\"99535360\", alpha=\"0.05\", expect_size=\"39814144\"] \n  2 -> 3 [size =\"39814144\"]\n  3 [size=\"46123520\", alpha=\"0.15\", expect_size=\"18449408\"] \n  3 -> 4 [size =\"18449408\"]\n  4 [size=\"95756800\", alpha=\"0.20\", expect_size=\"38302720\"] \n  4 -> 5 [size =\"38302720\"]\n  5 [size=\"19942400\", alpha=\"0.11\", expect_size=\"7976960\"] \n  5 -> 6 [size =\"7976960\"]\n  6 [size=\"93209600\", alpha=\"0.14\", expect_size=\"37283840\"] \n  6 -> 7 [size =\"37283840\"]\n  7 [size=\"82373120\", alpha=\"0.14\", expect_size=\"32949248\"] \n  7 -> 8 [size =\"32949248\"]\n  8 [size=\"74449920\", alpha=\"0.12\", expect_size=\"29779968\"] \n  8 -> 9 [size =\"29779968\"]\n  9 [size=\"102167040\", alpha=\"0.10\", expect_size=\"40866816\"] \n  9 -> 10 [size =\"40866816\"]\n  10 [size=\"91868160\", alpha=\"0.19\", expect_size=\"36747264\"] \n  10 -> 11 [size =\"36747264\"]\n  11 [size=\"103239680\", alpha=\"0.00\", expect_size=\"41295872\"] \n  11 -> 12 [size =\"41295872\"]\n  12 [size=\"97310720\", alpha=\"0.11\", expect_size=\"38924288\"] \n  12 -> 13 [size =\"38924288\"]\n  13 [size=\"124275200\", alpha=\"0.01\", expect_size=\"49710080\"] \n  13 -> 14 [size =\"49710080\"]\n  14 [size=\"93061120\", alpha=\"0.18\", expect_size=\"37224448\"] \n  14 -> 15 [size =\"37224448\"]\n  15 [size=\"90728960\", alpha=\"0.18\", expect_size=\"36291584\"] \n  15 -> 16 [size =\"36291584\"]\n  16 [size=\"37560320\", alpha=\"0.02\", expect_size=\"15024128\"] \n  16 -> 17 [size =\"15024128\"]\n  17 [size=\"122652160\", alpha=\"0.11\", expect_size=\"49060864\"] \n  17 -> 18 [size =\"49060864\"]\n  18 [size=\"84917760\", alpha=\"0.16\", expect_size=\"33967104\"] \n  18 -> 19 [size =\"33967104\"]\n  19 [size=\"40360960\", alpha=\"0.12\", expect_size=\"16144384\"] \n  19 -> 20 [size =\"16144384\"]\n  20 [size=\"97953280\", alpha=\"0.11\", expect_size=\"39181312\"] \n  20 -> 21 [size =\"39181312\"]\n  21 [size=\"89139200\", alpha=\"0.17\", expect_size=\"35655680\"] \n  21 -> 22 [size =\"35655680\"]\n  22 [size=\"91773440\", alpha=\"0.16\", expect_size=\"36709376\"] \n  22 -> 23 [size =\"36709376\"]\n  23 [size=\"41103360\", alpha=\"0.02\", expect_size=\"16441344\"] \n  23 -> 24 [size =\"16441344\"]\n  24 [size=\"44546560\", alpha=\"0.01\", expect_size=\"17818624\"] \n  24 -> 25 [size =\"17818624\"]\n  25 [size=\"30789120\", alpha=\"0.02\", expect_size=\"12315648\"] \n  25 -> 26 [size =\"12315648\"]\n  26 [size=\"18211840\", alpha=\"0.16\", expect_size=\"7284736\"] \n  26 -> 27 [size =\"7284736\"]\n  27 [size=\"29534720\", alpha=\"0.02\", expect_size=\"11813888\"] \n  27 -> 28 [size =\"11813888\"]\n  28 [size=\"97262080\", alpha=\"0.18\", expect_size=\"38904832\"] \n  28 -> 29 [size =\"38904832\"]\n  29 [size=\"73392640\", alpha=\"0.10\", expect_size=\"29357056\"] \n  29 -> 30 [size =\"29357056\"]\n  30 [size=\"23728640\", alpha=\"0.14\", expect_size=\"9491456\"] \n  30 -> 31 [size =\"9491456\"]\n  31 [size=\"90992640\", alpha=\"0.14\", expect_size=\"36397056\"] \n  31 -> 32 [size =\"36397056\"]\n  32 [size=\"70784000\", alpha=\"0.09\", expect_size=\"28313600\"] \n  32 -> 33 [size =\"28313600\"]\n  33 [size=\"49530880\", alpha=\"0.02\", expect_size=\"19812352\"] \n  33 -> 34 [size =\"19812352\"]\n  34 [size=\"60254720\", alpha=\"0.09\", expect_size=\"24101888\"] \n  34 -> 35 [size =\"24101888\"]\n  35 [size=\"67642880\", alpha=\"0.09\", expect_size=\"27057152\"] \n  35 -> 36 [size =\"27057152\"]\n  36 [size=\"78528000\", alpha=\"0.13\", expect_size=\"31411200\"] \n  36 -> 37 [size =\"31411200\"]\n  37 [size=\"55050240\", alpha=\"0.15\", expect_size=\"22020096\"] \n  37 -> 38 [size =\"22020096\"]\n  38 [size=\"66480640\", alpha=\"0.10\", expect_size=\"26592256\"] \n  38 -> 39 [size =\"26592256\"]\n  39 [size=\"56194560\", alpha=\"0.09\", expect_size=\"22477824\"] \n  39 -> 40 [size =\"22477824\"]\n  40 [size=\"113254400\", alpha=\"0.03\", expect_size=\"45301760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128423253\", alpha=\"0.02\", expect_size=\"38526976\"] \n  1 -> 3 [size =\"38526976\"]\n  2 [size=\"73495893\", alpha=\"0.19\", expect_size=\"22048768\"] \n  2 -> 4 [size =\"22048768\"]\n  2 -> 5 [size =\"22048768\"]\n  3 [size=\"67822933\", alpha=\"0.19\", expect_size=\"20346880\"] \n  3 -> 6 [size =\"20346880\"]\n  4 [size=\"106407253\", alpha=\"0.16\", expect_size=\"31922176\"] \n  4 -> 7 [size =\"31922176\"]\n  5 [size=\"163635200\", alpha=\"0.04\", expect_size=\"49090560\"] \n  5 -> 6 [size =\"49090560\"]\n  5 -> 7 [size =\"49090560\"]\n  6 [size=\"123190613\", alpha=\"0.14\", expect_size=\"36957184\"] \n  6 -> 8 [size =\"36957184\"]\n  6 -> 9 [size =\"36957184\"]\n  7 [size=\"162976427\", alpha=\"0.20\", expect_size=\"48892928\"] \n  8 [size=\"53090987\", alpha=\"0.12\", expect_size=\"15927296\"] \n  8 -> 10 [size =\"15927296\"]\n  8 -> 11 [size =\"15927296\"]\n  9 [size=\"35764907\", alpha=\"0.18\", expect_size=\"10729472\"] \n  10 [size=\"97655467\", alpha=\"0.15\", expect_size=\"29296640\"] \n  10 -> 12 [size =\"29296640\"]\n  10 -> 13 [size =\"29296640\"]\n  11 [size=\"56787627\", alpha=\"0.04\", expect_size=\"17036288\"] \n  12 [size=\"73635840\", alpha=\"0.12\", expect_size=\"22090752\"] \n  12 -> 14 [size =\"22090752\"]\n  12 -> 15 [size =\"22090752\"]\n  12 -> 16 [size =\"22090752\"]\n  12 -> 17 [size =\"22090752\"]\n  13 [size=\"66348373\", alpha=\"0.00\", expect_size=\"19904512\"] \n  14 [size=\"55251627\", alpha=\"0.07\", expect_size=\"16575488\"] \n  15 [size=\"25620480\", alpha=\"0.02\", expect_size=\"7686144\"] \n  15 -> 18 [size =\"7686144\"]\n  16 [size=\"55224320\", alpha=\"0.02\", expect_size=\"16567296\"] \n  16 -> 19 [size =\"16567296\"]\n  16 -> 20 [size =\"16567296\"]\n  17 [size=\"167212373\", alpha=\"0.09\", expect_size=\"50163712\"] \n  17 -> 19 [size =\"50163712\"]\n  17 -> 20 [size =\"50163712\"]\n  18 [size=\"167120213\", alpha=\"0.13\", expect_size=\"50136064\"] \n  18 -> 23 [size =\"50136064\"]\n  18 -> 24 [size =\"50136064\"]\n  19 [size=\"107441493\", alpha=\"0.20\", expect_size=\"32232448\"] \n  19 -> 22 [size =\"32232448\"]\n  19 -> 23 [size =\"32232448\"]\n  20 [size=\"95436800\", alpha=\"0.05\", expect_size=\"28631040\"] \n  20 -> 21 [size =\"28631040\"]\n  21 [size=\"59453440\", alpha=\"0.04\", expect_size=\"17836032\"] \n  22 [size=\"90132480\", alpha=\"0.11\", expect_size=\"27039744\"] \n  22 -> 25 [size =\"27039744\"]\n  23 [size=\"24046933\", alpha=\"0.03\", expect_size=\"7214080\"] \n  24 [size=\"26251947\", alpha=\"0.08\", expect_size=\"7875584\"] \n  24 -> 25 [size =\"7875584\"]\n  25 [size=\"85207040\", alpha=\"0.10\", expect_size=\"25562112\"] \n  25 -> 26 [size =\"25562112\"]\n  25 -> 27 [size =\"25562112\"]\n  26 [size=\"103372800\", alpha=\"0.06\", expect_size=\"31011840\"] \n  26 -> 29 [size =\"31011840\"]\n  27 [size=\"118333440\", alpha=\"0.01\", expect_size=\"35500032\"] \n  27 -> 28 [size =\"35500032\"]\n  28 [size=\"30016853\", alpha=\"0.00\", expect_size=\"9005056\"] \n  28 -> 30 [size =\"9005056\"]\n  28 -> 31 [size =\"9005056\"]\n  28 -> 33 [size =\"9005056\"]\n  29 [size=\"131949227\", alpha=\"0.02\", expect_size=\"39584768\"] \n  29 -> 32 [size =\"39584768\"]\n  30 [size=\"130208427\", alpha=\"0.13\", expect_size=\"39062528\"] \n  30 -> 35 [size =\"39062528\"]\n  31 [size=\"169089707\", alpha=\"0.10\", expect_size=\"50726912\"] \n  31 -> 37 [size =\"50726912\"]\n  32 [size=\"44967253\", alpha=\"0.14\", expect_size=\"13490176\"] \n  32 -> 37 [size =\"13490176\"]\n  33 [size=\"128436907\", alpha=\"0.04\", expect_size=\"38531072\"] \n  33 -> 34 [size =\"38531072\"]\n  33 -> 35 [size =\"38531072\"]\n  33 -> 36 [size =\"38531072\"]\n  34 [size=\"155279360\", alpha=\"0.19\", expect_size=\"46583808\"] \n  35 [size=\"57132373\", alpha=\"0.15\", expect_size=\"17139712\"] \n  35 -> 38 [size =\"17139712\"]\n  36 [size=\"137448107\", alpha=\"0.15\", expect_size=\"41234432\"] \n  36 -> 40 [size =\"41234432\"]\n  37 [size=\"30085120\", alpha=\"0.15\", expect_size=\"9025536\"] \n  37 -> 39 [size =\"9025536\"]\n  38 [size=\"37829973\", alpha=\"0.14\", expect_size=\"11348992\"] \n  39 [size=\"39014400\", alpha=\"0.04\", expect_size=\"11704320\"] \n  40 [size=\"51930453\", alpha=\"0.04\", expect_size=\"15579136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102602240\", alpha=\"0.12\", expect_size=\"41040896\"] \n  1 -> 5 [size =\"41040896\"]\n  1 -> 6 [size =\"41040896\"]\n  2 [size=\"124840960\", alpha=\"0.14\", expect_size=\"49936384\"] \n  2 -> 5 [size =\"49936384\"]\n  3 [size=\"18549760\", alpha=\"0.15\", expect_size=\"7419904\"] \n  3 -> 6 [size =\"7419904\"]\n  4 [size=\"53818880\", alpha=\"0.17\", expect_size=\"21527552\"] \n  4 -> 5 [size =\"21527552\"]\n  4 -> 6 [size =\"21527552\"]\n  5 [size=\"123143680\", alpha=\"0.04\", expect_size=\"49257472\"] \n  6 [size=\"47946240\", alpha=\"0.07\", expect_size=\"19178496\"] \n  6 -> 7 [size =\"19178496\"]\n  6 -> 8 [size =\"19178496\"]\n  7 [size=\"77201920\", alpha=\"0.11\", expect_size=\"30880768\"] \n  7 -> 9 [size =\"30880768\"]\n  8 [size=\"19005440\", alpha=\"0.08\", expect_size=\"7602176\"] \n  8 -> 9 [size =\"7602176\"]\n  9 [size=\"45447680\", alpha=\"0.07\", expect_size=\"18179072\"] \n  9 -> 10 [size =\"18179072\"]\n  10 [size=\"13780480\", alpha=\"0.13\", expect_size=\"5512192\"] \n  10 -> 11 [size =\"5512192\"]\n  10 -> 12 [size =\"5512192\"]\n  11 [size=\"89917440\", alpha=\"0.08\", expect_size=\"35966976\"] \n  11 -> 13 [size =\"35966976\"]\n  12 [size=\"43932160\", alpha=\"0.15\", expect_size=\"17572864\"] \n  13 [size=\"124843520\", alpha=\"0.02\", expect_size=\"49937408\"] \n  13 -> 14 [size =\"49937408\"]\n  13 -> 15 [size =\"49937408\"]\n  14 [size=\"95170560\", alpha=\"0.11\", expect_size=\"38068224\"] \n  14 -> 16 [size =\"38068224\"]\n  14 -> 17 [size =\"38068224\"]\n  14 -> 18 [size =\"38068224\"]\n  15 [size=\"75944960\", alpha=\"0.19\", expect_size=\"30377984\"] \n  15 -> 16 [size =\"30377984\"]\n  15 -> 18 [size =\"30377984\"]\n  16 [size=\"98562560\", alpha=\"0.08\", expect_size=\"39425024\"] \n  16 -> 19 [size =\"39425024\"]\n  16 -> 21 [size =\"39425024\"]\n  17 [size=\"22256640\", alpha=\"0.19\", expect_size=\"8902656\"] \n  17 -> 20 [size =\"8902656\"]\n  18 [size=\"89699840\", alpha=\"0.05\", expect_size=\"35879936\"] \n  18 -> 20 [size =\"35879936\"]\n  18 -> 21 [size =\"35879936\"]\n  19 [size=\"19261440\", alpha=\"0.17\", expect_size=\"7704576\"] \n  19 -> 22 [size =\"7704576\"]\n  19 -> 24 [size =\"7704576\"]\n  20 [size=\"62346240\", alpha=\"0.11\", expect_size=\"24938496\"] \n  20 -> 22 [size =\"24938496\"]\n  20 -> 23 [size =\"24938496\"]\n  21 [size=\"22965760\", alpha=\"0.00\", expect_size=\"9186304\"] \n  21 -> 23 [size =\"9186304\"]\n  22 [size=\"69173760\", alpha=\"0.08\", expect_size=\"27669504\"] \n  22 -> 25 [size =\"27669504\"]\n  22 -> 26 [size =\"27669504\"]\n  23 [size=\"39959040\", alpha=\"0.18\", expect_size=\"15983616\"] \n  23 -> 26 [size =\"15983616\"]\n  24 [size=\"51420160\", alpha=\"0.14\", expect_size=\"20568064\"] \n  24 -> 26 [size =\"20568064\"]\n  25 [size=\"116725760\", alpha=\"0.09\", expect_size=\"46690304\"] \n  25 -> 28 [size =\"46690304\"]\n  26 [size=\"113433600\", alpha=\"0.09\", expect_size=\"45373440\"] \n  26 -> 27 [size =\"45373440\"]\n  27 [size=\"42882560\", alpha=\"0.01\", expect_size=\"17153024\"] \n  27 -> 29 [size =\"17153024\"]\n  27 -> 30 [size =\"17153024\"]\n  27 -> 31 [size =\"17153024\"]\n  27 -> 32 [size =\"17153024\"]\n  28 [size=\"34475520\", alpha=\"0.13\", expect_size=\"13790208\"] \n  28 -> 29 [size =\"13790208\"]\n  28 -> 30 [size =\"13790208\"]\n  28 -> 32 [size =\"13790208\"]\n  29 [size=\"65894400\", alpha=\"0.11\", expect_size=\"26357760\"] \n  29 -> 35 [size =\"26357760\"]\n  30 [size=\"46528000\", alpha=\"0.09\", expect_size=\"18611200\"] \n  30 -> 34 [size =\"18611200\"]\n  30 -> 35 [size =\"18611200\"]\n  31 [size=\"110673920\", alpha=\"0.01\", expect_size=\"44269568\"] \n  32 [size=\"111900160\", alpha=\"0.17\", expect_size=\"44760064\"] \n  32 -> 33 [size =\"44760064\"]\n  32 -> 34 [size =\"44760064\"]\n  32 -> 35 [size =\"44760064\"]\n  33 [size=\"43980800\", alpha=\"0.12\", expect_size=\"17592320\"] \n  34 [size=\"30320640\", alpha=\"0.02\", expect_size=\"12128256\"] \n  34 -> 36 [size =\"12128256\"]\n  35 [size=\"111633920\", alpha=\"0.01\", expect_size=\"44653568\"] \n  36 [size=\"44065280\", alpha=\"0.16\", expect_size=\"17626112\"] \n  36 -> 37 [size =\"17626112\"]\n  36 -> 38 [size =\"17626112\"]\n  37 [size=\"98385920\", alpha=\"0.12\", expect_size=\"39354368\"] \n  37 -> 40 [size =\"39354368\"]\n  38 [size=\"102763520\", alpha=\"0.01\", expect_size=\"41105408\"] \n  38 -> 39 [size =\"41105408\"]\n  38 -> 40 [size =\"41105408\"]\n  39 [size=\"63091200\", alpha=\"0.11\", expect_size=\"25236480\"] \n  40 [size=\"129681920\", alpha=\"0.09\", expect_size=\"51872768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90064213\", alpha=\"0.00\", expect_size=\"27019264\"] \n  1 -> 22 [size =\"27019264\"]\n  1 -> 23 [size =\"27019264\"]\n  1 -> 24 [size =\"27019264\"]\n  1 -> 30 [size =\"27019264\"]\n  1 -> 31 [size =\"27019264\"]\n  1 -> 32 [size =\"27019264\"]\n  1 -> 34 [size =\"27019264\"]\n  1 -> 35 [size =\"27019264\"]\n  2 [size=\"46141440\", alpha=\"0.06\", expect_size=\"13842432\"] \n  2 -> 22 [size =\"13842432\"]\n  2 -> 29 [size =\"13842432\"]\n  2 -> 34 [size =\"13842432\"]\n  2 -> 38 [size =\"13842432\"]\n  2 -> 40 [size =\"13842432\"]\n  3 [size=\"113264640\", alpha=\"0.07\", expect_size=\"33979392\"] \n  3 -> 23 [size =\"33979392\"]\n  3 -> 25 [size =\"33979392\"]\n  3 -> 29 [size =\"33979392\"]\n  3 -> 30 [size =\"33979392\"]\n  3 -> 34 [size =\"33979392\"]\n  3 -> 36 [size =\"33979392\"]\n  3 -> 37 [size =\"33979392\"]\n  3 -> 40 [size =\"33979392\"]\n  4 [size=\"23435947\", alpha=\"0.11\", expect_size=\"7030784\"] \n  4 -> 23 [size =\"7030784\"]\n  4 -> 26 [size =\"7030784\"]\n  4 -> 31 [size =\"7030784\"]\n  4 -> 34 [size =\"7030784\"]\n  4 -> 36 [size =\"7030784\"]\n  4 -> 36 [size =\"7030784\"]\n  4 -> 37 [size =\"7030784\"]\n  5 [size=\"128047787\", alpha=\"0.13\", expect_size=\"38414336\"] \n  5 -> 25 [size =\"38414336\"]\n  5 -> 27 [size =\"38414336\"]\n  5 -> 31 [size =\"38414336\"]\n  5 -> 34 [size =\"38414336\"]\n  5 -> 37 [size =\"38414336\"]\n  5 -> 39 [size =\"38414336\"]\n  5 -> 40 [size =\"38414336\"]\n  6 [size=\"42670080\", alpha=\"0.11\", expect_size=\"12801024\"] \n  6 -> 22 [size =\"12801024\"]\n  6 -> 27 [size =\"12801024\"]\n  6 -> 29 [size =\"12801024\"]\n  6 -> 32 [size =\"12801024\"]\n  6 -> 37 [size =\"12801024\"]\n  6 -> 38 [size =\"12801024\"]\n  6 -> 39 [size =\"12801024\"]\n  6 -> 40 [size =\"12801024\"]\n  7 [size=\"55022933\", alpha=\"0.15\", expect_size=\"16506880\"] \n  7 -> 22 [size =\"16506880\"]\n  7 -> 27 [size =\"16506880\"]\n  7 -> 30 [size =\"16506880\"]\n  7 -> 39 [size =\"16506880\"]\n  7 -> 40 [size =\"16506880\"]\n  8 [size=\"81824427\", alpha=\"0.16\", expect_size=\"24547328\"] \n  8 -> 25 [size =\"24547328\"]\n  8 -> 27 [size =\"24547328\"]\n  8 -> 30 [size =\"24547328\"]\n  8 -> 31 [size =\"24547328\"]\n  8 -> 35 [size =\"24547328\"]\n  8 -> 39 [size =\"24547328\"]\n  8 -> 40 [size =\"24547328\"]\n  9 [size=\"40362667\", alpha=\"0.12\", expect_size=\"12108800\"] \n  9 -> 25 [size =\"12108800\"]\n  9 -> 27 [size =\"12108800\"]\n  9 -> 29 [size =\"12108800\"]\n  9 -> 30 [size =\"12108800\"]\n  9 -> 34 [size =\"12108800\"]\n  9 -> 35 [size =\"12108800\"]\n  9 -> 39 [size =\"12108800\"]\n  10 [size=\"165027840\", alpha=\"0.16\", expect_size=\"49508352\"] \n  10 -> 25 [size =\"49508352\"]\n  10 -> 27 [size =\"49508352\"]\n  10 -> 35 [size =\"49508352\"]\n  10 -> 38 [size =\"49508352\"]\n  10 -> 39 [size =\"49508352\"]\n  10 -> 40 [size =\"49508352\"]\n  11 [size=\"114046293\", alpha=\"0.19\", expect_size=\"34213888\"] \n  11 -> 22 [size =\"34213888\"]\n  11 -> 30 [size =\"34213888\"]\n  11 -> 37 [size =\"34213888\"]\n  11 -> 38 [size =\"34213888\"]\n  11 -> 39 [size =\"34213888\"]\n  12 [size=\"117732693\", alpha=\"0.15\", expect_size=\"35319808\"] \n  12 -> 22 [size =\"35319808\"]\n  12 -> 29 [size =\"35319808\"]\n  12 -> 31 [size =\"35319808\"]\n  12 -> 37 [size =\"35319808\"]\n  12 -> 39 [size =\"35319808\"]\n  13 [size=\"165123413\", alpha=\"0.04\", expect_size=\"49537024\"] \n  13 -> 22 [size =\"49537024\"]\n  13 -> 23 [size =\"49537024\"]\n  13 -> 29 [size =\"49537024\"]\n  13 -> 31 [size =\"49537024\"]\n  13 -> 37 [size =\"49537024\"]\n  13 -> 39 [size =\"49537024\"]\n  14 [size=\"61504853\", alpha=\"0.05\", expect_size=\"18451456\"] \n  14 -> 23 [size =\"18451456\"]\n  14 -> 25 [size =\"18451456\"]\n  14 -> 27 [size =\"18451456\"]\n  14 -> 29 [size =\"18451456\"]\n  14 -> 31 [size =\"18451456\"]\n  14 -> 37 [size =\"18451456\"]\n  14 -> 38 [size =\"18451456\"]\n  14 -> 39 [size =\"18451456\"]\n  15 [size=\"148817920\", alpha=\"0.05\", expect_size=\"44645376\"] \n  15 -> 25 [size =\"44645376\"]\n  15 -> 25 [size =\"44645376\"]\n  15 -> 31 [size =\"44645376\"]\n  15 -> 37 [size =\"44645376\"]\n  15 -> 39 [size =\"44645376\"]\n  15 -> 40 [size =\"44645376\"]\n  16 [size=\"93924693\", alpha=\"0.08\", expect_size=\"28177408\"] \n  16 -> 25 [size =\"28177408\"]\n  16 -> 30 [size =\"28177408\"]\n  16 -> 31 [size =\"28177408\"]\n  16 -> 33 [size =\"28177408\"]\n  16 -> 34 [size =\"28177408\"]\n  16 -> 35 [size =\"28177408\"]\n  16 -> 36 [size =\"28177408\"]\n  16 -> 37 [size =\"28177408\"]\n  16 -> 39 [size =\"28177408\"]\n  17 [size=\"20514133\", alpha=\"0.19\", expect_size=\"6154240\"] \n  17 -> 22 [size =\"6154240\"]\n  17 -> 23 [size =\"6154240\"]\n  17 -> 25 [size =\"6154240\"]\n  17 -> 30 [size =\"6154240\"]\n  17 -> 31 [size =\"6154240\"]\n  17 -> 37 [size =\"6154240\"]\n  17 -> 39 [size =\"6154240\"]\n  17 -> 40 [size =\"6154240\"]\n  18 [size=\"137994240\", alpha=\"0.08\", expect_size=\"41398272\"] \n  18 -> 25 [size =\"41398272\"]\n  18 -> 30 [size =\"41398272\"]\n  18 -> 31 [size =\"41398272\"]\n  18 -> 35 [size =\"41398272\"]\n  18 -> 37 [size =\"41398272\"]\n  18 -> 39 [size =\"41398272\"]\n  18 -> 40 [size =\"41398272\"]\n  19 [size=\"103369387\", alpha=\"0.12\", expect_size=\"31010816\"] \n  19 -> 23 [size =\"31010816\"]\n  19 -> 25 [size =\"31010816\"]\n  19 -> 30 [size =\"31010816\"]\n  19 -> 31 [size =\"31010816\"]\n  19 -> 35 [size =\"31010816\"]\n  19 -> 37 [size =\"31010816\"]\n  20 [size=\"42485760\", alpha=\"0.15\", expect_size=\"12745728\"] \n  20 -> 24 [size =\"12745728\"]\n  20 -> 25 [size =\"12745728\"]\n  20 -> 28 [size =\"12745728\"]\n  20 -> 30 [size =\"12745728\"]\n  20 -> 31 [size =\"12745728\"]\n  20 -> 34 [size =\"12745728\"]\n  20 -> 35 [size =\"12745728\"]\n  20 -> 37 [size =\"12745728\"]\n  20 -> 39 [size =\"12745728\"]\n  21 [size=\"166038187\", alpha=\"0.07\", expect_size=\"49811456\"] \n  21 -> 22 [size =\"49811456\"]\n  21 -> 23 [size =\"49811456\"]\n  21 -> 30 [size =\"49811456\"]\n  21 -> 31 [size =\"49811456\"]\n  21 -> 35 [size =\"49811456\"]\n  21 -> 37 [size =\"49811456\"]\n  22 [size=\"154975573\", alpha=\"0.02\", expect_size=\"46492672\"] \n  23 [size=\"114036053\", alpha=\"0.10\", expect_size=\"34210816\"] \n  24 [size=\"146933760\", alpha=\"0.18\", expect_size=\"44080128\"] \n  25 [size=\"25961813\", alpha=\"0.01\", expect_size=\"7788544\"] \n  26 [size=\"68959573\", alpha=\"0.07\", expect_size=\"20687872\"] \n  27 [size=\"131949227\", alpha=\"0.17\", expect_size=\"39584768\"] \n  28 [size=\"121692160\", alpha=\"0.16\", expect_size=\"36507648\"] \n  29 [size=\"29668693\", alpha=\"0.17\", expect_size=\"8900608\"] \n  30 [size=\"127389013\", alpha=\"0.17\", expect_size=\"38216704\"] \n  31 [size=\"88227840\", alpha=\"0.10\", expect_size=\"26468352\"] \n  32 [size=\"142052693\", alpha=\"0.15\", expect_size=\"42615808\"] \n  33 [size=\"160252587\", alpha=\"0.19\", expect_size=\"48075776\"] \n  34 [size=\"81329493\", alpha=\"0.09\", expect_size=\"24398848\"] \n  35 [size=\"68526080\", alpha=\"0.16\", expect_size=\"20557824\"] \n  36 [size=\"75137707\", alpha=\"0.12\", expect_size=\"22541312\"] \n  37 [size=\"126354773\", alpha=\"0.08\", expect_size=\"37906432\"] \n  38 [size=\"102440960\", alpha=\"0.00\", expect_size=\"30732288\"] \n  39 [size=\"67744427\", alpha=\"0.03\", expect_size=\"20323328\"] \n  40 [size=\"45154987\", alpha=\"0.09\", expect_size=\"13546496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28634453\", alpha=\"0.08\", expect_size=\"8590336\"] \n  1 -> 35 [size =\"8590336\"]\n  1 -> 35 [size =\"8590336\"]\n  1 -> 37 [size =\"8590336\"]\n  1 -> 39 [size =\"8590336\"]\n  2 [size=\"116374187\", alpha=\"0.18\", expect_size=\"34912256\"] \n  2 -> 36 [size =\"34912256\"]\n  2 -> 37 [size =\"34912256\"]\n  2 -> 37 [size =\"34912256\"]\n  2 -> 38 [size =\"34912256\"]\n  2 -> 39 [size =\"34912256\"]\n  2 -> 40 [size =\"34912256\"]\n  3 [size=\"52978347\", alpha=\"0.17\", expect_size=\"15893504\"] \n  3 -> 35 [size =\"15893504\"]\n  3 -> 36 [size =\"15893504\"]\n  3 -> 37 [size =\"15893504\"]\n  3 -> 38 [size =\"15893504\"]\n  3 -> 39 [size =\"15893504\"]\n  3 -> 40 [size =\"15893504\"]\n  4 [size=\"75424427\", alpha=\"0.03\", expect_size=\"22627328\"] \n  4 -> 34 [size =\"22627328\"]\n  4 -> 36 [size =\"22627328\"]\n  4 -> 37 [size =\"22627328\"]\n  4 -> 38 [size =\"22627328\"]\n  4 -> 39 [size =\"22627328\"]\n  4 -> 40 [size =\"22627328\"]\n  5 [size=\"48011947\", alpha=\"0.00\", expect_size=\"14403584\"] \n  5 -> 35 [size =\"14403584\"]\n  5 -> 38 [size =\"14403584\"]\n  5 -> 39 [size =\"14403584\"]\n  6 [size=\"48629760\", alpha=\"0.07\", expect_size=\"14588928\"] \n  6 -> 35 [size =\"14588928\"]\n  6 -> 38 [size =\"14588928\"]\n  6 -> 39 [size =\"14588928\"]\n  7 [size=\"79520427\", alpha=\"0.13\", expect_size=\"23856128\"] \n  7 -> 39 [size =\"23856128\"]\n  7 -> 40 [size =\"23856128\"]\n  8 [size=\"121975467\", alpha=\"0.15\", expect_size=\"36592640\"] \n  8 -> 37 [size =\"36592640\"]\n  8 -> 38 [size =\"36592640\"]\n  8 -> 39 [size =\"36592640\"]\n  9 [size=\"108772693\", alpha=\"0.16\", expect_size=\"32631808\"] \n  9 -> 34 [size =\"32631808\"]\n  9 -> 40 [size =\"32631808\"]\n  10 [size=\"109335893\", alpha=\"0.14\", expect_size=\"32800768\"] \n  10 -> 37 [size =\"32800768\"]\n  10 -> 39 [size =\"32800768\"]\n  11 [size=\"31546027\", alpha=\"0.20\", expect_size=\"9463808\"] \n  11 -> 35 [size =\"9463808\"]\n  11 -> 36 [size =\"9463808\"]\n  11 -> 37 [size =\"9463808\"]\n  11 -> 38 [size =\"9463808\"]\n  11 -> 39 [size =\"9463808\"]\n  12 [size=\"93767680\", alpha=\"0.01\", expect_size=\"28130304\"] \n  12 -> 35 [size =\"28130304\"]\n  12 -> 37 [size =\"28130304\"]\n  12 -> 38 [size =\"28130304\"]\n  12 -> 39 [size =\"28130304\"]\n  12 -> 40 [size =\"28130304\"]\n  13 [size=\"77455360\", alpha=\"0.14\", expect_size=\"23236608\"] \n  13 -> 35 [size =\"23236608\"]\n  13 -> 38 [size =\"23236608\"]\n  13 -> 40 [size =\"23236608\"]\n  14 [size=\"56398507\", alpha=\"0.00\", expect_size=\"16919552\"] \n  14 -> 35 [size =\"16919552\"]\n  14 -> 37 [size =\"16919552\"]\n  14 -> 39 [size =\"16919552\"]\n  14 -> 40 [size =\"16919552\"]\n  15 [size=\"82490027\", alpha=\"0.20\", expect_size=\"24747008\"] \n  15 -> 35 [size =\"24747008\"]\n  15 -> 37 [size =\"24747008\"]\n  15 -> 39 [size =\"24747008\"]\n  15 -> 40 [size =\"24747008\"]\n  16 [size=\"86104747\", alpha=\"0.00\", expect_size=\"25831424\"] \n  16 -> 37 [size =\"25831424\"]\n  16 -> 39 [size =\"25831424\"]\n  16 -> 40 [size =\"25831424\"]\n  16 -> 40 [size =\"25831424\"]\n  17 [size=\"143923200\", alpha=\"0.03\", expect_size=\"43176960\"] \n  17 -> 35 [size =\"43176960\"]\n  17 -> 37 [size =\"43176960\"]\n  17 -> 40 [size =\"43176960\"]\n  18 [size=\"91303253\", alpha=\"0.02\", expect_size=\"27390976\"] \n  18 -> 37 [size =\"27390976\"]\n  18 -> 38 [size =\"27390976\"]\n  18 -> 39 [size =\"27390976\"]\n  18 -> 40 [size =\"27390976\"]\n  19 [size=\"52630187\", alpha=\"0.05\", expect_size=\"15789056\"] \n  19 -> 35 [size =\"15789056\"]\n  19 -> 37 [size =\"15789056\"]\n  19 -> 38 [size =\"15789056\"]\n  19 -> 39 [size =\"15789056\"]\n  19 -> 40 [size =\"15789056\"]\n  20 [size=\"23831893\", alpha=\"0.03\", expect_size=\"7149568\"] \n  20 -> 37 [size =\"7149568\"]\n  20 -> 37 [size =\"7149568\"]\n  20 -> 38 [size =\"7149568\"]\n  20 -> 39 [size =\"7149568\"]\n  21 [size=\"135526400\", alpha=\"0.02\", expect_size=\"40657920\"] \n  21 -> 35 [size =\"40657920\"]\n  21 -> 37 [size =\"40657920\"]\n  21 -> 38 [size =\"40657920\"]\n  21 -> 39 [size =\"40657920\"]\n  21 -> 40 [size =\"40657920\"]\n  22 [size=\"135400107\", alpha=\"0.13\", expect_size=\"40620032\"] \n  22 -> 37 [size =\"40620032\"]\n  22 -> 37 [size =\"40620032\"]\n  22 -> 39 [size =\"40620032\"]\n  22 -> 40 [size =\"40620032\"]\n  23 [size=\"141202773\", alpha=\"0.10\", expect_size=\"42360832\"] \n  23 -> 36 [size =\"42360832\"]\n  23 -> 37 [size =\"42360832\"]\n  23 -> 38 [size =\"42360832\"]\n  23 -> 39 [size =\"42360832\"]\n  23 -> 40 [size =\"42360832\"]\n  24 [size=\"91252053\", alpha=\"0.13\", expect_size=\"27375616\"] \n  24 -> 35 [size =\"27375616\"]\n  24 -> 37 [size =\"27375616\"]\n  24 -> 38 [size =\"27375616\"]\n  24 -> 39 [size =\"27375616\"]\n  24 -> 40 [size =\"27375616\"]\n  25 [size=\"93583360\", alpha=\"0.01\", expect_size=\"28075008\"] \n  25 -> 34 [size =\"28075008\"]\n  25 -> 35 [size =\"28075008\"]\n  25 -> 37 [size =\"28075008\"]\n  25 -> 39 [size =\"28075008\"]\n  25 -> 40 [size =\"28075008\"]\n  26 [size=\"91415893\", alpha=\"0.12\", expect_size=\"27424768\"] \n  26 -> 35 [size =\"27424768\"]\n  26 -> 37 [size =\"27424768\"]\n  26 -> 38 [size =\"27424768\"]\n  26 -> 40 [size =\"27424768\"]\n  26 -> 40 [size =\"27424768\"]\n  27 [size=\"93197653\", alpha=\"0.11\", expect_size=\"27959296\"] \n  27 -> 34 [size =\"27959296\"]\n  27 -> 37 [size =\"27959296\"]\n  27 -> 38 [size =\"27959296\"]\n  27 -> 39 [size =\"27959296\"]\n  27 -> 40 [size =\"27959296\"]\n  28 [size=\"119613440\", alpha=\"0.04\", expect_size=\"35884032\"] \n  28 -> 35 [size =\"35884032\"]\n  28 -> 36 [size =\"35884032\"]\n  28 -> 37 [size =\"35884032\"]\n  28 -> 38 [size =\"35884032\"]\n  28 -> 39 [size =\"35884032\"]\n  28 -> 40 [size =\"35884032\"]\n  29 [size=\"139079680\", alpha=\"0.08\", expect_size=\"41723904\"] \n  29 -> 35 [size =\"41723904\"]\n  29 -> 38 [size =\"41723904\"]\n  29 -> 39 [size =\"41723904\"]\n  29 -> 40 [size =\"41723904\"]\n  30 [size=\"19650560\", alpha=\"0.04\", expect_size=\"5895168\"] \n  30 -> 36 [size =\"5895168\"]\n  30 -> 39 [size =\"5895168\"]\n  30 -> 39 [size =\"5895168\"]\n  30 -> 40 [size =\"5895168\"]\n  31 [size=\"39406933\", alpha=\"0.02\", expect_size=\"11822080\"] \n  31 -> 40 [size =\"11822080\"]\n  32 [size=\"52224000\", alpha=\"0.09\", expect_size=\"15667200\"] \n  32 -> 35 [size =\"15667200\"]\n  32 -> 37 [size =\"15667200\"]\n  32 -> 40 [size =\"15667200\"]\n  33 [size=\"156999680\", alpha=\"0.04\", expect_size=\"47099904\"] \n  33 -> 34 [size =\"47099904\"]\n  33 -> 35 [size =\"47099904\"]\n  33 -> 37 [size =\"47099904\"]\n  33 -> 39 [size =\"47099904\"]\n  34 [size=\"74666667\", alpha=\"0.04\", expect_size=\"22400000\"] \n  35 [size=\"20459520\", alpha=\"0.12\", expect_size=\"6137856\"] \n  36 [size=\"24924160\", alpha=\"0.09\", expect_size=\"7477248\"] \n  37 [size=\"119207253\", alpha=\"0.02\", expect_size=\"35762176\"] \n  38 [size=\"50790400\", alpha=\"0.05\", expect_size=\"15237120\"] \n  39 [size=\"81452373\", alpha=\"0.12\", expect_size=\"24435712\"] \n  40 [size=\"145210027\", alpha=\"0.19\", expect_size=\"43563008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93209600\", alpha=\"0.05\", expect_size=\"37283840\"] \n  1 -> 27 [size =\"37283840\"]\n  1 -> 28 [size =\"37283840\"]\n  1 -> 31 [size =\"37283840\"]\n  1 -> 33 [size =\"37283840\"]\n  1 -> 37 [size =\"37283840\"]\n  1 -> 39 [size =\"37283840\"]\n  2 [size=\"21795840\", alpha=\"0.20\", expect_size=\"8718336\"] \n  2 -> 33 [size =\"8718336\"]\n  2 -> 36 [size =\"8718336\"]\n  2 -> 39 [size =\"8718336\"]\n  3 [size=\"112253440\", alpha=\"0.18\", expect_size=\"44901376\"] \n  3 -> 26 [size =\"44901376\"]\n  3 -> 33 [size =\"44901376\"]\n  3 -> 35 [size =\"44901376\"]\n  3 -> 37 [size =\"44901376\"]\n  3 -> 39 [size =\"44901376\"]\n  3 -> 40 [size =\"44901376\"]\n  4 [size=\"95280640\", alpha=\"0.05\", expect_size=\"38112256\"] \n  4 -> 26 [size =\"38112256\"]\n  4 -> 29 [size =\"38112256\"]\n  4 -> 33 [size =\"38112256\"]\n  4 -> 34 [size =\"38112256\"]\n  4 -> 38 [size =\"38112256\"]\n  4 -> 39 [size =\"38112256\"]\n  5 [size=\"34629120\", alpha=\"0.18\", expect_size=\"13851648\"] \n  5 -> 28 [size =\"13851648\"]\n  5 -> 29 [size =\"13851648\"]\n  5 -> 37 [size =\"13851648\"]\n  5 -> 38 [size =\"13851648\"]\n  6 [size=\"40537600\", alpha=\"0.14\", expect_size=\"16215040\"] \n  6 -> 28 [size =\"16215040\"]\n  6 -> 29 [size =\"16215040\"]\n  6 -> 35 [size =\"16215040\"]\n  6 -> 36 [size =\"16215040\"]\n  6 -> 37 [size =\"16215040\"]\n  6 -> 38 [size =\"16215040\"]\n  6 -> 39 [size =\"16215040\"]\n  6 -> 40 [size =\"16215040\"]\n  7 [size=\"77527040\", alpha=\"0.12\", expect_size=\"31010816\"] \n  7 -> 28 [size =\"31010816\"]\n  7 -> 36 [size =\"31010816\"]\n  7 -> 37 [size =\"31010816\"]\n  7 -> 38 [size =\"31010816\"]\n  8 [size=\"121011200\", alpha=\"0.14\", expect_size=\"48404480\"] \n  8 -> 26 [size =\"48404480\"]\n  8 -> 28 [size =\"48404480\"]\n  8 -> 29 [size =\"48404480\"]\n  8 -> 30 [size =\"48404480\"]\n  8 -> 39 [size =\"48404480\"]\n  9 [size=\"14223360\", alpha=\"0.10\", expect_size=\"5689344\"] \n  9 -> 28 [size =\"5689344\"]\n  9 -> 35 [size =\"5689344\"]\n  9 -> 36 [size =\"5689344\"]\n  9 -> 38 [size =\"5689344\"]\n  10 [size=\"98383360\", alpha=\"0.13\", expect_size=\"39353344\"] \n  10 -> 25 [size =\"39353344\"]\n  10 -> 26 [size =\"39353344\"]\n  10 -> 32 [size =\"39353344\"]\n  10 -> 33 [size =\"39353344\"]\n  10 -> 35 [size =\"39353344\"]\n  10 -> 37 [size =\"39353344\"]\n  10 -> 40 [size =\"39353344\"]\n  11 [size=\"19770880\", alpha=\"0.11\", expect_size=\"7908352\"] \n  11 -> 26 [size =\"7908352\"]\n  11 -> 28 [size =\"7908352\"]\n  11 -> 31 [size =\"7908352\"]\n  11 -> 34 [size =\"7908352\"]\n  11 -> 40 [size =\"7908352\"]\n  12 [size=\"51161600\", alpha=\"0.06\", expect_size=\"20464640\"] \n  12 -> 25 [size =\"20464640\"]\n  12 -> 27 [size =\"20464640\"]\n  12 -> 28 [size =\"20464640\"]\n  12 -> 33 [size =\"20464640\"]\n  12 -> 35 [size =\"20464640\"]\n  12 -> 37 [size =\"20464640\"]\n  12 -> 40 [size =\"20464640\"]\n  13 [size=\"49907200\", alpha=\"0.13\", expect_size=\"19962880\"] \n  13 -> 25 [size =\"19962880\"]\n  13 -> 30 [size =\"19962880\"]\n  13 -> 31 [size =\"19962880\"]\n  13 -> 38 [size =\"19962880\"]\n  14 [size=\"36782080\", alpha=\"0.16\", expect_size=\"14712832\"] \n  14 -> 25 [size =\"14712832\"]\n  14 -> 34 [size =\"14712832\"]\n  15 [size=\"69102080\", alpha=\"0.14\", expect_size=\"27640832\"] \n  15 -> 29 [size =\"27640832\"]\n  15 -> 31 [size =\"27640832\"]\n  15 -> 32 [size =\"27640832\"]\n  15 -> 34 [size =\"27640832\"]\n  15 -> 35 [size =\"27640832\"]\n  15 -> 40 [size =\"27640832\"]\n  16 [size=\"56337920\", alpha=\"0.02\", expect_size=\"22535168\"] \n  16 -> 25 [size =\"22535168\"]\n  16 -> 26 [size =\"22535168\"]\n  16 -> 31 [size =\"22535168\"]\n  16 -> 33 [size =\"22535168\"]\n  16 -> 34 [size =\"22535168\"]\n  16 -> 35 [size =\"22535168\"]\n  17 [size=\"20736000\", alpha=\"0.18\", expect_size=\"8294400\"] \n  17 -> 25 [size =\"8294400\"]\n  17 -> 28 [size =\"8294400\"]\n  17 -> 29 [size =\"8294400\"]\n  17 -> 31 [size =\"8294400\"]\n  17 -> 32 [size =\"8294400\"]\n  17 -> 35 [size =\"8294400\"]\n  17 -> 38 [size =\"8294400\"]\n  17 -> 40 [size =\"8294400\"]\n  18 [size=\"89105920\", alpha=\"0.16\", expect_size=\"35642368\"] \n  18 -> 27 [size =\"35642368\"]\n  18 -> 30 [size =\"35642368\"]\n  18 -> 33 [size =\"35642368\"]\n  18 -> 35 [size =\"35642368\"]\n  18 -> 37 [size =\"35642368\"]\n  18 -> 38 [size =\"35642368\"]\n  19 [size=\"56458240\", alpha=\"0.17\", expect_size=\"22583296\"] \n  19 -> 28 [size =\"22583296\"]\n  19 -> 30 [size =\"22583296\"]\n  19 -> 31 [size =\"22583296\"]\n  19 -> 33 [size =\"22583296\"]\n  19 -> 34 [size =\"22583296\"]\n  19 -> 40 [size =\"22583296\"]\n  20 [size=\"117189120\", alpha=\"0.09\", expect_size=\"46875648\"] \n  20 -> 27 [size =\"46875648\"]\n  20 -> 29 [size =\"46875648\"]\n  20 -> 31 [size =\"46875648\"]\n  20 -> 33 [size =\"46875648\"]\n  20 -> 35 [size =\"46875648\"]\n  20 -> 38 [size =\"46875648\"]\n  21 [size=\"73264640\", alpha=\"0.15\", expect_size=\"29305856\"] \n  21 -> 25 [size =\"29305856\"]\n  21 -> 29 [size =\"29305856\"]\n  21 -> 31 [size =\"29305856\"]\n  21 -> 37 [size =\"29305856\"]\n  21 -> 38 [size =\"29305856\"]\n  22 [size=\"21401600\", alpha=\"0.03\", expect_size=\"8560640\"] \n  22 -> 26 [size =\"8560640\"]\n  22 -> 29 [size =\"8560640\"]\n  22 -> 33 [size =\"8560640\"]\n  23 [size=\"59648000\", alpha=\"0.08\", expect_size=\"23859200\"] \n  23 -> 25 [size =\"23859200\"]\n  23 -> 28 [size =\"23859200\"]\n  23 -> 29 [size =\"23859200\"]\n  23 -> 34 [size =\"23859200\"]\n  23 -> 37 [size =\"23859200\"]\n  24 [size=\"17656320\", alpha=\"0.06\", expect_size=\"7062528\"] \n  24 -> 26 [size =\"7062528\"]\n  24 -> 28 [size =\"7062528\"]\n  24 -> 33 [size =\"7062528\"]\n  24 -> 37 [size =\"7062528\"]\n  24 -> 39 [size =\"7062528\"]\n  24 -> 40 [size =\"7062528\"]\n  25 [size=\"110259200\", alpha=\"0.08\", expect_size=\"44103680\"] \n  26 [size=\"72837120\", alpha=\"0.15\", expect_size=\"29134848\"] \n  27 [size=\"84968960\", alpha=\"0.13\", expect_size=\"33987584\"] \n  28 [size=\"70586880\", alpha=\"0.09\", expect_size=\"28234752\"] \n  29 [size=\"47600640\", alpha=\"0.05\", expect_size=\"19040256\"] \n  30 [size=\"27225600\", alpha=\"0.16\", expect_size=\"10890240\"] \n  31 [size=\"81597440\", alpha=\"0.07\", expect_size=\"32638976\"] \n  32 [size=\"54891520\", alpha=\"0.06\", expect_size=\"21956608\"] \n  33 [size=\"73763840\", alpha=\"0.10\", expect_size=\"29505536\"] \n  34 [size=\"119395840\", alpha=\"0.18\", expect_size=\"47758336\"] \n  35 [size=\"38033920\", alpha=\"0.16\", expect_size=\"15213568\"] \n  36 [size=\"87132160\", alpha=\"0.02\", expect_size=\"34852864\"] \n  37 [size=\"58186240\", alpha=\"0.08\", expect_size=\"23274496\"] \n  38 [size=\"15621120\", alpha=\"0.08\", expect_size=\"6248448\"] \n  39 [size=\"67340800\", alpha=\"0.15\", expect_size=\"26936320\"] \n  40 [size=\"96501760\", alpha=\"0.19\", expect_size=\"38600704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18184192\", alpha=\"0.20\", expect_size=\"9092096\"] \n  1 -> 12 [size =\"9092096\"]\n  1 -> 13 [size =\"9092096\"]\n  2 [size=\"49190912\", alpha=\"0.19\", expect_size=\"24595456\"] \n  2 -> 12 [size =\"24595456\"]\n  2 -> 13 [size =\"24595456\"]\n  3 [size=\"46381056\", alpha=\"0.06\", expect_size=\"23190528\"] \n  3 -> 8 [size =\"23190528\"]\n  3 -> 10 [size =\"23190528\"]\n  3 -> 11 [size =\"23190528\"]\n  3 -> 12 [size =\"23190528\"]\n  4 [size=\"34854912\", alpha=\"0.16\", expect_size=\"17427456\"] \n  4 -> 9 [size =\"17427456\"]\n  5 [size=\"12892160\", alpha=\"0.08\", expect_size=\"6446080\"] \n  5 -> 8 [size =\"6446080\"]\n  5 -> 10 [size =\"6446080\"]\n  5 -> 13 [size =\"6446080\"]\n  6 [size=\"103847936\", alpha=\"0.08\", expect_size=\"51923968\"] \n  6 -> 13 [size =\"51923968\"]\n  7 [size=\"28073984\", alpha=\"0.18\", expect_size=\"14036992\"] \n  7 -> 13 [size =\"14036992\"]\n  8 [size=\"29820928\", alpha=\"0.07\", expect_size=\"14910464\"] \n  8 -> 16 [size =\"14910464\"]\n  8 -> 17 [size =\"14910464\"]\n  8 -> 19 [size =\"14910464\"]\n  8 -> 20 [size =\"14910464\"]\n  9 [size=\"13780992\", alpha=\"0.03\", expect_size=\"6890496\"] \n  9 -> 16 [size =\"6890496\"]\n  9 -> 20 [size =\"6890496\"]\n  10 [size=\"20701184\", alpha=\"0.13\", expect_size=\"10350592\"] \n  10 -> 14 [size =\"10350592\"]\n  10 -> 15 [size =\"10350592\"]\n  10 -> 16 [size =\"10350592\"]\n  10 -> 20 [size =\"10350592\"]\n  11 [size=\"19417088\", alpha=\"0.02\", expect_size=\"9708544\"] \n  11 -> 14 [size =\"9708544\"]\n  11 -> 15 [size =\"9708544\"]\n  11 -> 16 [size =\"9708544\"]\n  11 -> 17 [size =\"9708544\"]\n  12 [size=\"18440192\", alpha=\"0.03\", expect_size=\"9220096\"] \n  12 -> 14 [size =\"9220096\"]\n  12 -> 19 [size =\"9220096\"]\n  13 [size=\"13168640\", alpha=\"0.16\", expect_size=\"6584320\"] \n  13 -> 15 [size =\"6584320\"]\n  13 -> 16 [size =\"6584320\"]\n  13 -> 18 [size =\"6584320\"]\n  14 [size=\"43149312\", alpha=\"0.02\", expect_size=\"21574656\"] \n  14 -> 21 [size =\"21574656\"]\n  14 -> 23 [size =\"21574656\"]\n  15 [size=\"24971264\", alpha=\"0.05\", expect_size=\"12485632\"] \n  15 -> 22 [size =\"12485632\"]\n  16 [size=\"61290496\", alpha=\"0.09\", expect_size=\"30645248\"] \n  16 -> 23 [size =\"30645248\"]\n  17 [size=\"97886208\", alpha=\"0.17\", expect_size=\"48943104\"] \n  18 [size=\"89876480\", alpha=\"0.05\", expect_size=\"44938240\"] \n  19 [size=\"30261248\", alpha=\"0.05\", expect_size=\"15130624\"] \n  19 -> 23 [size =\"15130624\"]\n  20 [size=\"44742656\", alpha=\"0.08\", expect_size=\"22371328\"] \n  20 -> 22 [size =\"22371328\"]\n  20 -> 23 [size =\"22371328\"]\n  21 [size=\"13580288\", alpha=\"0.13\", expect_size=\"6790144\"] \n  22 [size=\"25155584\", alpha=\"0.06\", expect_size=\"12577792\"] \n  22 -> 25 [size =\"12577792\"]\n  22 -> 26 [size =\"12577792\"]\n  23 [size=\"38832128\", alpha=\"0.06\", expect_size=\"19416064\"] \n  23 -> 24 [size =\"19416064\"]\n  23 -> 26 [size =\"19416064\"]\n  24 [size=\"21182464\", alpha=\"0.12\", expect_size=\"10591232\"] \n  24 -> 28 [size =\"10591232\"]\n  24 -> 29 [size =\"10591232\"]\n  24 -> 30 [size =\"10591232\"]\n  24 -> 32 [size =\"10591232\"]\n  25 [size=\"28461056\", alpha=\"0.18\", expect_size=\"14230528\"] \n  25 -> 27 [size =\"14230528\"]\n  25 -> 32 [size =\"14230528\"]\n  26 [size=\"54118400\", alpha=\"0.04\", expect_size=\"27059200\"] \n  26 -> 27 [size =\"27059200\"]\n  26 -> 30 [size =\"27059200\"]\n  26 -> 31 [size =\"27059200\"]\n  26 -> 32 [size =\"27059200\"]\n  27 [size=\"95047680\", alpha=\"0.14\", expect_size=\"47523840\"] \n  27 -> 34 [size =\"47523840\"]\n  27 -> 34 [size =\"47523840\"]\n  27 -> 35 [size =\"47523840\"]\n  27 -> 39 [size =\"47523840\"]\n  27 -> 40 [size =\"47523840\"]\n  28 [size=\"82667520\", alpha=\"0.08\", expect_size=\"41333760\"] \n  28 -> 33 [size =\"41333760\"]\n  28 -> 35 [size =\"41333760\"]\n  28 -> 36 [size =\"41333760\"]\n  28 -> 38 [size =\"41333760\"]\n  29 [size=\"104073216\", alpha=\"0.02\", expect_size=\"52036608\"] \n  29 -> 35 [size =\"52036608\"]\n  29 -> 38 [size =\"52036608\"]\n  29 -> 40 [size =\"52036608\"]\n  30 [size=\"32935936\", alpha=\"0.19\", expect_size=\"16467968\"] \n  30 -> 37 [size =\"16467968\"]\n  30 -> 40 [size =\"16467968\"]\n  31 [size=\"70840320\", alpha=\"0.18\", expect_size=\"35420160\"] \n  31 -> 34 [size =\"35420160\"]\n  32 [size=\"36741120\", alpha=\"0.18\", expect_size=\"18370560\"] \n  32 -> 33 [size =\"18370560\"]\n  32 -> 34 [size =\"18370560\"]\n  32 -> 36 [size =\"18370560\"]\n  33 [size=\"63717376\", alpha=\"0.19\", expect_size=\"31858688\"] \n  34 [size=\"93290496\", alpha=\"0.07\", expect_size=\"46645248\"] \n  35 [size=\"55461888\", alpha=\"0.17\", expect_size=\"27730944\"] \n  36 [size=\"47009792\", alpha=\"0.19\", expect_size=\"23504896\"] \n  37 [size=\"66924544\", alpha=\"0.19\", expect_size=\"33462272\"] \n  38 [size=\"38424576\", alpha=\"0.16\", expect_size=\"19212288\"] \n  39 [size=\"75218944\", alpha=\"0.17\", expect_size=\"37609472\"] \n  40 [size=\"86226944\", alpha=\"0.06\", expect_size=\"43113472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174295040\", alpha=\"0.14\", expect_size=\"52288512\"] \n  1 -> 14 [size =\"52288512\"]\n  1 -> 16 [size =\"52288512\"]\n  1 -> 19 [size =\"52288512\"]\n  1 -> 21 [size =\"52288512\"]\n  1 -> 23 [size =\"52288512\"]\n  2 [size=\"121780907\", alpha=\"0.03\", expect_size=\"36534272\"] \n  2 -> 15 [size =\"36534272\"]\n  2 -> 16 [size =\"36534272\"]\n  2 -> 18 [size =\"36534272\"]\n  2 -> 21 [size =\"36534272\"]\n  2 -> 23 [size =\"36534272\"]\n  3 [size=\"162020693\", alpha=\"0.15\", expect_size=\"48606208\"] \n  3 -> 14 [size =\"48606208\"]\n  3 -> 15 [size =\"48606208\"]\n  3 -> 18 [size =\"48606208\"]\n  3 -> 21 [size =\"48606208\"]\n  3 -> 23 [size =\"48606208\"]\n  4 [size=\"91702613\", alpha=\"0.05\", expect_size=\"27510784\"] \n  4 -> 14 [size =\"27510784\"]\n  4 -> 15 [size =\"27510784\"]\n  4 -> 16 [size =\"27510784\"]\n  4 -> 18 [size =\"27510784\"]\n  4 -> 21 [size =\"27510784\"]\n  4 -> 24 [size =\"27510784\"]\n  5 [size=\"34341547\", alpha=\"0.04\", expect_size=\"10302464\"] \n  5 -> 14 [size =\"10302464\"]\n  5 -> 15 [size =\"10302464\"]\n  5 -> 16 [size =\"10302464\"]\n  5 -> 18 [size =\"10302464\"]\n  5 -> 22 [size =\"10302464\"]\n  5 -> 23 [size =\"10302464\"]\n  5 -> 25 [size =\"10302464\"]\n  6 [size=\"148401493\", alpha=\"0.10\", expect_size=\"44520448\"] \n  6 -> 14 [size =\"44520448\"]\n  6 -> 16 [size =\"44520448\"]\n  6 -> 17 [size =\"44520448\"]\n  6 -> 18 [size =\"44520448\"]\n  6 -> 20 [size =\"44520448\"]\n  7 [size=\"155125760\", alpha=\"0.17\", expect_size=\"46537728\"] \n  7 -> 14 [size =\"46537728\"]\n  7 -> 16 [size =\"46537728\"]\n  7 -> 18 [size =\"46537728\"]\n  7 -> 18 [size =\"46537728\"]\n  7 -> 21 [size =\"46537728\"]\n  7 -> 25 [size =\"46537728\"]\n  8 [size=\"36618240\", alpha=\"0.16\", expect_size=\"10985472\"] \n  8 -> 14 [size =\"10985472\"]\n  8 -> 15 [size =\"10985472\"]\n  8 -> 18 [size =\"10985472\"]\n  8 -> 25 [size =\"10985472\"]\n  9 [size=\"74502827\", alpha=\"0.02\", expect_size=\"22350848\"] \n  9 -> 14 [size =\"22350848\"]\n  9 -> 15 [size =\"22350848\"]\n  9 -> 16 [size =\"22350848\"]\n  9 -> 17 [size =\"22350848\"]\n  9 -> 19 [size =\"22350848\"]\n  9 -> 22 [size =\"22350848\"]\n  9 -> 23 [size =\"22350848\"]\n  9 -> 24 [size =\"22350848\"]\n  9 -> 25 [size =\"22350848\"]\n  10 [size=\"159744000\", alpha=\"0.19\", expect_size=\"47923200\"] \n  10 -> 15 [size =\"47923200\"]\n  10 -> 17 [size =\"47923200\"]\n  10 -> 18 [size =\"47923200\"]\n  10 -> 20 [size =\"47923200\"]\n  10 -> 22 [size =\"47923200\"]\n  10 -> 25 [size =\"47923200\"]\n  11 [size=\"35164160\", alpha=\"0.08\", expect_size=\"10549248\"] \n  11 -> 14 [size =\"10549248\"]\n  11 -> 16 [size =\"10549248\"]\n  11 -> 17 [size =\"10549248\"]\n  11 -> 19 [size =\"10549248\"]\n  11 -> 23 [size =\"10549248\"]\n  11 -> 25 [size =\"10549248\"]\n  12 [size=\"145558187\", alpha=\"0.09\", expect_size=\"43667456\"] \n  12 -> 15 [size =\"43667456\"]\n  12 -> 16 [size =\"43667456\"]\n  12 -> 17 [size =\"43667456\"]\n  12 -> 23 [size =\"43667456\"]\n  12 -> 24 [size =\"43667456\"]\n  12 -> 25 [size =\"43667456\"]\n  13 [size=\"169362773\", alpha=\"0.16\", expect_size=\"50808832\"] \n  13 -> 15 [size =\"50808832\"]\n  13 -> 17 [size =\"50808832\"]\n  13 -> 23 [size =\"50808832\"]\n  13 -> 23 [size =\"50808832\"]\n  13 -> 25 [size =\"50808832\"]\n  13 -> 25 [size =\"50808832\"]\n  14 [size=\"128126293\", alpha=\"0.19\", expect_size=\"38437888\"] \n  14 -> 27 [size =\"38437888\"]\n  14 -> 30 [size =\"38437888\"]\n  14 -> 32 [size =\"38437888\"]\n  14 -> 33 [size =\"38437888\"]\n  14 -> 34 [size =\"38437888\"]\n  14 -> 36 [size =\"38437888\"]\n  14 -> 39 [size =\"38437888\"]\n  15 [size=\"163751253\", alpha=\"0.05\", expect_size=\"49125376\"] \n  15 -> 26 [size =\"49125376\"]\n  15 -> 27 [size =\"49125376\"]\n  15 -> 30 [size =\"49125376\"]\n  15 -> 32 [size =\"49125376\"]\n  15 -> 34 [size =\"49125376\"]\n  15 -> 35 [size =\"49125376\"]\n  15 -> 37 [size =\"49125376\"]\n  15 -> 38 [size =\"49125376\"]\n  15 -> 39 [size =\"49125376\"]\n  16 [size=\"35031040\", alpha=\"0.11\", expect_size=\"10509312\"] \n  16 -> 30 [size =\"10509312\"]\n  16 -> 33 [size =\"10509312\"]\n  16 -> 34 [size =\"10509312\"]\n  16 -> 39 [size =\"10509312\"]\n  17 [size=\"110380373\", alpha=\"0.09\", expect_size=\"33114112\"] \n  17 -> 26 [size =\"33114112\"]\n  17 -> 27 [size =\"33114112\"]\n  17 -> 29 [size =\"33114112\"]\n  17 -> 30 [size =\"33114112\"]\n  17 -> 34 [size =\"33114112\"]\n  17 -> 36 [size =\"33114112\"]\n  17 -> 38 [size =\"33114112\"]\n  17 -> 39 [size =\"33114112\"]\n  18 [size=\"83664213\", alpha=\"0.15\", expect_size=\"25099264\"] \n  18 -> 26 [size =\"25099264\"]\n  18 -> 27 [size =\"25099264\"]\n  18 -> 33 [size =\"25099264\"]\n  18 -> 35 [size =\"25099264\"]\n  18 -> 36 [size =\"25099264\"]\n  18 -> 38 [size =\"25099264\"]\n  18 -> 39 [size =\"25099264\"]\n  19 [size=\"50039467\", alpha=\"0.15\", expect_size=\"15011840\"] \n  19 -> 26 [size =\"15011840\"]\n  19 -> 27 [size =\"15011840\"]\n  19 -> 28 [size =\"15011840\"]\n  19 -> 31 [size =\"15011840\"]\n  19 -> 35 [size =\"15011840\"]\n  19 -> 36 [size =\"15011840\"]\n  19 -> 37 [size =\"15011840\"]\n  19 -> 38 [size =\"15011840\"]\n  20 [size=\"62105600\", alpha=\"0.03\", expect_size=\"18631680\"] \n  20 -> 26 [size =\"18631680\"]\n  20 -> 27 [size =\"18631680\"]\n  20 -> 29 [size =\"18631680\"]\n  20 -> 30 [size =\"18631680\"]\n  20 -> 31 [size =\"18631680\"]\n  20 -> 36 [size =\"18631680\"]\n  20 -> 37 [size =\"18631680\"]\n  20 -> 38 [size =\"18631680\"]\n  21 [size=\"56203947\", alpha=\"0.12\", expect_size=\"16861184\"] \n  21 -> 29 [size =\"16861184\"]\n  21 -> 31 [size =\"16861184\"]\n  21 -> 38 [size =\"16861184\"]\n  22 [size=\"121453227\", alpha=\"0.14\", expect_size=\"36435968\"] \n  22 -> 27 [size =\"36435968\"]\n  22 -> 29 [size =\"36435968\"]\n  22 -> 31 [size =\"36435968\"]\n  22 -> 38 [size =\"36435968\"]\n  22 -> 39 [size =\"36435968\"]\n  23 [size=\"38382933\", alpha=\"0.15\", expect_size=\"11514880\"] \n  23 -> 27 [size =\"11514880\"]\n  23 -> 30 [size =\"11514880\"]\n  23 -> 31 [size =\"11514880\"]\n  23 -> 32 [size =\"11514880\"]\n  23 -> 35 [size =\"11514880\"]\n  23 -> 36 [size =\"11514880\"]\n  23 -> 38 [size =\"11514880\"]\n  23 -> 39 [size =\"11514880\"]\n  24 [size=\"165717333\", alpha=\"0.04\", expect_size=\"49715200\"] \n  24 -> 26 [size =\"49715200\"]\n  24 -> 30 [size =\"49715200\"]\n  24 -> 32 [size =\"49715200\"]\n  24 -> 34 [size =\"49715200\"]\n  24 -> 35 [size =\"49715200\"]\n  24 -> 36 [size =\"49715200\"]\n  24 -> 38 [size =\"49715200\"]\n  25 [size=\"157955413\", alpha=\"0.16\", expect_size=\"47386624\"] \n  25 -> 28 [size =\"47386624\"]\n  25 -> 30 [size =\"47386624\"]\n  25 -> 33 [size =\"47386624\"]\n  25 -> 35 [size =\"47386624\"]\n  25 -> 35 [size =\"47386624\"]\n  25 -> 37 [size =\"47386624\"]\n  26 [size=\"36986880\", alpha=\"0.05\", expect_size=\"11096064\"] \n  27 [size=\"124310187\", alpha=\"0.11\", expect_size=\"37293056\"] \n  28 [size=\"36358827\", alpha=\"0.20\", expect_size=\"10907648\"] \n  29 [size=\"157921280\", alpha=\"0.15\", expect_size=\"47376384\"] \n  30 [size=\"115640320\", alpha=\"0.09\", expect_size=\"34692096\"] \n  30 -> 40 [size =\"34692096\"]\n  31 [size=\"142554453\", alpha=\"0.05\", expect_size=\"42766336\"] \n  32 [size=\"80906240\", alpha=\"0.18\", expect_size=\"24271872\"] \n  33 [size=\"35003733\", alpha=\"0.10\", expect_size=\"10501120\"] \n  34 [size=\"149398187\", alpha=\"0.15\", expect_size=\"44819456\"] \n  35 [size=\"26456747\", alpha=\"0.20\", expect_size=\"7937024\"] \n  36 [size=\"154903893\", alpha=\"0.07\", expect_size=\"46471168\"] \n  37 [size=\"36526080\", alpha=\"0.05\", expect_size=\"10957824\"] \n  38 [size=\"123542187\", alpha=\"0.12\", expect_size=\"37062656\"] \n  39 [size=\"120524800\", alpha=\"0.03\", expect_size=\"36157440\"] \n  40 [size=\"84503893\", alpha=\"0.20\", expect_size=\"25351168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49953280\", alpha=\"0.03\", expect_size=\"19981312\"] \n  1 -> 3 [size =\"19981312\"]\n  1 -> 4 [size =\"19981312\"]\n  2 [size=\"68940800\", alpha=\"0.06\", expect_size=\"27576320\"] \n  3 [size=\"28800000\", alpha=\"0.02\", expect_size=\"11520000\"] \n  3 -> 5 [size =\"11520000\"]\n  4 [size=\"43530240\", alpha=\"0.01\", expect_size=\"17412096\"] \n  4 -> 6 [size =\"17412096\"]\n  5 [size=\"83133440\", alpha=\"0.06\", expect_size=\"33253376\"] \n  5 -> 7 [size =\"33253376\"]\n  6 [size=\"119636480\", alpha=\"0.13\", expect_size=\"47854592\"] \n  6 -> 8 [size =\"47854592\"]\n  7 [size=\"103964160\", alpha=\"0.12\", expect_size=\"41585664\"] \n  7 -> 9 [size =\"41585664\"]\n  7 -> 10 [size =\"41585664\"]\n  7 -> 11 [size =\"41585664\"]\n  8 [size=\"16166400\", alpha=\"0.08\", expect_size=\"6466560\"] \n  8 -> 10 [size =\"6466560\"]\n  9 [size=\"127173120\", alpha=\"0.09\", expect_size=\"50869248\"] \n  9 -> 12 [size =\"50869248\"]\n  10 [size=\"18554880\", alpha=\"0.02\", expect_size=\"7421952\"] \n  11 [size=\"74595840\", alpha=\"0.04\", expect_size=\"29838336\"] \n  11 -> 12 [size =\"29838336\"]\n  11 -> 13 [size =\"29838336\"]\n  12 [size=\"93672960\", alpha=\"0.16\", expect_size=\"37469184\"] \n  12 -> 14 [size =\"37469184\"]\n  12 -> 15 [size =\"37469184\"]\n  12 -> 16 [size =\"37469184\"]\n  13 [size=\"127603200\", alpha=\"0.02\", expect_size=\"51041280\"] \n  13 -> 14 [size =\"51041280\"]\n  13 -> 15 [size =\"51041280\"]\n  14 [size=\"20088320\", alpha=\"0.15\", expect_size=\"8035328\"] \n  15 [size=\"26882560\", alpha=\"0.12\", expect_size=\"10753024\"] \n  16 [size=\"64422400\", alpha=\"0.18\", expect_size=\"25768960\"] \n  16 -> 17 [size =\"25768960\"]\n  16 -> 18 [size =\"25768960\"]\n  17 [size=\"25333760\", alpha=\"0.12\", expect_size=\"10133504\"] \n  17 -> 20 [size =\"10133504\"]\n  17 -> 21 [size =\"10133504\"]\n  18 [size=\"95549440\", alpha=\"0.19\", expect_size=\"38219776\"] \n  18 -> 19 [size =\"38219776\"]\n  19 [size=\"27018240\", alpha=\"0.10\", expect_size=\"10807296\"] \n  19 -> 22 [size =\"10807296\"]\n  20 [size=\"81651200\", alpha=\"0.14\", expect_size=\"32660480\"] \n  20 -> 24 [size =\"32660480\"]\n  21 [size=\"95004160\", alpha=\"0.03\", expect_size=\"38001664\"] \n  21 -> 22 [size =\"38001664\"]\n  21 -> 23 [size =\"38001664\"]\n  21 -> 24 [size =\"38001664\"]\n  22 [size=\"116986880\", alpha=\"0.02\", expect_size=\"46794752\"] \n  22 -> 25 [size =\"46794752\"]\n  23 [size=\"91015680\", alpha=\"0.04\", expect_size=\"36406272\"] \n  23 -> 25 [size =\"36406272\"]\n  23 -> 26 [size =\"36406272\"]\n  23 -> 27 [size =\"36406272\"]\n  24 [size=\"100006400\", alpha=\"0.11\", expect_size=\"40002560\"] \n  24 -> 26 [size =\"40002560\"]\n  25 [size=\"71884800\", alpha=\"0.10\", expect_size=\"28753920\"] \n  25 -> 28 [size =\"28753920\"]\n  26 [size=\"22323200\", alpha=\"0.07\", expect_size=\"8929280\"] \n  26 -> 29 [size =\"8929280\"]\n  27 [size=\"127393280\", alpha=\"0.19\", expect_size=\"50957312\"] \n  28 [size=\"79887360\", alpha=\"0.12\", expect_size=\"31954944\"] \n  28 -> 30 [size =\"31954944\"]\n  28 -> 31 [size =\"31954944\"]\n  29 [size=\"76817920\", alpha=\"0.04\", expect_size=\"30727168\"] \n  29 -> 31 [size =\"30727168\"]\n  30 [size=\"19558400\", alpha=\"0.17\", expect_size=\"7823360\"] \n  30 -> 32 [size =\"7823360\"]\n  31 [size=\"100070400\", alpha=\"0.00\", expect_size=\"40028160\"] \n  31 -> 33 [size =\"40028160\"]\n  32 [size=\"119272960\", alpha=\"0.17\", expect_size=\"47709184\"] \n  32 -> 35 [size =\"47709184\"]\n  32 -> 36 [size =\"47709184\"]\n  33 [size=\"15034880\", alpha=\"0.14\", expect_size=\"6013952\"] \n  33 -> 34 [size =\"6013952\"]\n  33 -> 36 [size =\"6013952\"]\n  34 [size=\"38983680\", alpha=\"0.11\", expect_size=\"15593472\"] \n  34 -> 37 [size =\"15593472\"]\n  34 -> 38 [size =\"15593472\"]\n  34 -> 39 [size =\"15593472\"]\n  35 [size=\"103577600\", alpha=\"0.11\", expect_size=\"41431040\"] \n  36 [size=\"42915840\", alpha=\"0.00\", expect_size=\"17166336\"] \n  36 -> 37 [size =\"17166336\"]\n  36 -> 38 [size =\"17166336\"]\n  37 [size=\"81495040\", alpha=\"0.11\", expect_size=\"32598016\"] \n  38 [size=\"74242560\", alpha=\"0.16\", expect_size=\"29697024\"] \n  38 -> 40 [size =\"29697024\"]\n  39 [size=\"24220160\", alpha=\"0.03\", expect_size=\"9688064\"] \n  40 [size=\"45491200\", alpha=\"0.02\", expect_size=\"18196480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19091456\", alpha=\"0.13\", expect_size=\"9545728\"] \n  2 [size=\"26896384\", alpha=\"0.08\", expect_size=\"13448192\"] \n  2 -> 5 [size =\"13448192\"]\n  3 [size=\"31893504\", alpha=\"0.00\", expect_size=\"15946752\"] \n  3 -> 4 [size =\"15946752\"]\n  3 -> 6 [size =\"15946752\"]\n  4 [size=\"92022784\", alpha=\"0.16\", expect_size=\"46011392\"] \n  5 [size=\"58382336\", alpha=\"0.13\", expect_size=\"29191168\"] \n  5 -> 7 [size =\"29191168\"]\n  5 -> 8 [size =\"29191168\"]\n  6 [size=\"15284224\", alpha=\"0.09\", expect_size=\"7642112\"] \n  6 -> 7 [size =\"7642112\"]\n  7 [size=\"30648320\", alpha=\"0.19\", expect_size=\"15324160\"] \n  7 -> 9 [size =\"15324160\"]\n  7 -> 10 [size =\"15324160\"]\n  7 -> 11 [size =\"15324160\"]\n  8 [size=\"43200512\", alpha=\"0.00\", expect_size=\"21600256\"] \n  9 [size=\"86609920\", alpha=\"0.05\", expect_size=\"43304960\"] \n  9 -> 13 [size =\"43304960\"]\n  10 [size=\"13297664\", alpha=\"0.05\", expect_size=\"6648832\"] \n  11 [size=\"61059072\", alpha=\"0.08\", expect_size=\"30529536\"] \n  11 -> 12 [size =\"30529536\"]\n  12 [size=\"26198016\", alpha=\"0.18\", expect_size=\"13099008\"] \n  12 -> 14 [size =\"13099008\"]\n  13 [size=\"61679616\", alpha=\"0.17\", expect_size=\"30839808\"] \n  13 -> 15 [size =\"30839808\"]\n  14 [size=\"61892608\", alpha=\"0.12\", expect_size=\"30946304\"] \n  14 -> 16 [size =\"30946304\"]\n  14 -> 18 [size =\"30946304\"]\n  15 [size=\"43569152\", alpha=\"0.14\", expect_size=\"21784576\"] \n  15 -> 17 [size =\"21784576\"]\n  16 [size=\"103542784\", alpha=\"0.05\", expect_size=\"51771392\"] \n  16 -> 19 [size =\"51771392\"]\n  17 [size=\"50585600\", alpha=\"0.16\", expect_size=\"25292800\"] \n  17 -> 19 [size =\"25292800\"]\n  17 -> 20 [size =\"25292800\"]\n  18 [size=\"44896256\", alpha=\"0.09\", expect_size=\"22448128\"] \n  19 [size=\"45557760\", alpha=\"0.05\", expect_size=\"22778880\"] \n  20 [size=\"68448256\", alpha=\"0.13\", expect_size=\"34224128\"] \n  20 -> 21 [size =\"34224128\"]\n  20 -> 22 [size =\"34224128\"]\n  21 [size=\"92672000\", alpha=\"0.03\", expect_size=\"46336000\"] \n  22 [size=\"35297280\", alpha=\"0.16\", expect_size=\"17648640\"] \n  22 -> 23 [size =\"17648640\"]\n  22 -> 24 [size =\"17648640\"]\n  23 [size=\"23748608\", alpha=\"0.13\", expect_size=\"11874304\"] \n  24 [size=\"102875136\", alpha=\"0.08\", expect_size=\"51437568\"] \n  24 -> 25 [size =\"51437568\"]\n  24 -> 26 [size =\"51437568\"]\n  25 [size=\"63395840\", alpha=\"0.13\", expect_size=\"31697920\"] \n  25 -> 27 [size =\"31697920\"]\n  26 [size=\"36415488\", alpha=\"0.19\", expect_size=\"18207744\"] \n  26 -> 28 [size =\"18207744\"]\n  27 [size=\"59140096\", alpha=\"0.09\", expect_size=\"29570048\"] \n  27 -> 29 [size =\"29570048\"]\n  27 -> 30 [size =\"29570048\"]\n  28 [size=\"42010624\", alpha=\"0.06\", expect_size=\"21005312\"] \n  29 [size=\"86753280\", alpha=\"0.20\", expect_size=\"43376640\"] \n  30 [size=\"17799168\", alpha=\"0.14\", expect_size=\"8899584\"] \n  30 -> 31 [size =\"8899584\"]\n  30 -> 32 [size =\"8899584\"]\n  31 [size=\"79595520\", alpha=\"0.18\", expect_size=\"39797760\"] \n  31 -> 34 [size =\"39797760\"]\n  32 [size=\"92002304\", alpha=\"0.06\", expect_size=\"46001152\"] \n  32 -> 33 [size =\"46001152\"]\n  32 -> 35 [size =\"46001152\"]\n  33 [size=\"71432192\", alpha=\"0.05\", expect_size=\"35716096\"] \n  33 -> 36 [size =\"35716096\"]\n  34 [size=\"39292928\", alpha=\"0.15\", expect_size=\"19646464\"] \n  34 -> 37 [size =\"19646464\"]\n  35 [size=\"77123584\", alpha=\"0.12\", expect_size=\"38561792\"] \n  35 -> 37 [size =\"38561792\"]\n  36 [size=\"44077056\", alpha=\"0.08\", expect_size=\"22038528\"] \n  36 -> 39 [size =\"22038528\"]\n  37 [size=\"39327744\", alpha=\"0.13\", expect_size=\"19663872\"] \n  37 -> 38 [size =\"19663872\"]\n  37 -> 40 [size =\"19663872\"]\n  38 [size=\"83036160\", alpha=\"0.05\", expect_size=\"41518080\"] \n  39 [size=\"19173376\", alpha=\"0.05\", expect_size=\"9586688\"] \n  40 [size=\"18237440\", alpha=\"0.17\", expect_size=\"9118720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17537707\", alpha=\"0.02\", expect_size=\"5261312\"] \n  1 -> 2 [size =\"5261312\"]\n  2 [size=\"25388373\", alpha=\"0.03\", expect_size=\"7616512\"] \n  2 -> 3 [size =\"7616512\"]\n  3 [size=\"174411093\", alpha=\"0.16\", expect_size=\"52323328\"] \n  3 -> 4 [size =\"52323328\"]\n  4 [size=\"23203840\", alpha=\"0.03\", expect_size=\"6961152\"] \n  4 -> 5 [size =\"6961152\"]\n  5 [size=\"119818240\", alpha=\"0.13\", expect_size=\"35945472\"] \n  5 -> 6 [size =\"35945472\"]\n  6 [size=\"111039147\", alpha=\"0.19\", expect_size=\"33311744\"] \n  6 -> 7 [size =\"33311744\"]\n  7 [size=\"58033493\", alpha=\"0.02\", expect_size=\"17410048\"] \n  7 -> 8 [size =\"17410048\"]\n  8 [size=\"42113707\", alpha=\"0.13\", expect_size=\"12634112\"] \n  8 -> 9 [size =\"12634112\"]\n  9 [size=\"27146240\", alpha=\"0.04\", expect_size=\"8143872\"] \n  9 -> 10 [size =\"8143872\"]\n  10 [size=\"169509547\", alpha=\"0.01\", expect_size=\"50852864\"] \n  10 -> 11 [size =\"50852864\"]\n  11 [size=\"28456960\", alpha=\"0.17\", expect_size=\"8537088\"] \n  11 -> 12 [size =\"8537088\"]\n  12 [size=\"40639147\", alpha=\"0.09\", expect_size=\"12191744\"] \n  12 -> 13 [size =\"12191744\"]\n  13 [size=\"66406400\", alpha=\"0.20\", expect_size=\"19921920\"] \n  13 -> 14 [size =\"19921920\"]\n  14 [size=\"34775040\", alpha=\"0.20\", expect_size=\"10432512\"] \n  14 -> 15 [size =\"10432512\"]\n  15 [size=\"56128853\", alpha=\"0.16\", expect_size=\"16838656\"] \n  15 -> 16 [size =\"16838656\"]\n  16 [size=\"154671787\", alpha=\"0.11\", expect_size=\"46401536\"] \n  16 -> 17 [size =\"46401536\"]\n  17 [size=\"144585387\", alpha=\"0.07\", expect_size=\"43375616\"] \n  17 -> 18 [size =\"43375616\"]\n  18 [size=\"160587093\", alpha=\"0.05\", expect_size=\"48176128\"] \n  18 -> 19 [size =\"48176128\"]\n  19 [size=\"104417280\", alpha=\"0.03\", expect_size=\"31325184\"] \n  19 -> 20 [size =\"31325184\"]\n  20 [size=\"139311787\", alpha=\"0.05\", expect_size=\"41793536\"] \n  20 -> 21 [size =\"41793536\"]\n  21 [size=\"144363520\", alpha=\"0.08\", expect_size=\"43309056\"] \n  21 -> 22 [size =\"43309056\"]\n  22 [size=\"117821440\", alpha=\"0.12\", expect_size=\"35346432\"] \n  22 -> 23 [size =\"35346432\"]\n  23 [size=\"34297173\", alpha=\"0.16\", expect_size=\"10289152\"] \n  23 -> 24 [size =\"10289152\"]\n  24 [size=\"32750933\", alpha=\"0.01\", expect_size=\"9825280\"] \n  24 -> 25 [size =\"9825280\"]\n  25 [size=\"30033920\", alpha=\"0.19\", expect_size=\"9010176\"] \n  25 -> 26 [size =\"9010176\"]\n  26 [size=\"152296107\", alpha=\"0.08\", expect_size=\"45688832\"] \n  26 -> 27 [size =\"45688832\"]\n  27 [size=\"82660693\", alpha=\"0.03\", expect_size=\"24798208\"] \n  27 -> 28 [size =\"24798208\"]\n  28 [size=\"138878293\", alpha=\"0.01\", expect_size=\"41663488\"] \n  28 -> 29 [size =\"41663488\"]\n  29 [size=\"17759573\", alpha=\"0.00\", expect_size=\"5327872\"] \n  29 -> 30 [size =\"5327872\"]\n  30 [size=\"37471573\", alpha=\"0.19\", expect_size=\"11241472\"] \n  30 -> 31 [size =\"11241472\"]\n  31 [size=\"80657067\", alpha=\"0.18\", expect_size=\"24197120\"] \n  31 -> 32 [size =\"24197120\"]\n  32 [size=\"147384320\", alpha=\"0.01\", expect_size=\"44215296\"] \n  32 -> 33 [size =\"44215296\"]\n  33 [size=\"88275627\", alpha=\"0.10\", expect_size=\"26482688\"] \n  33 -> 34 [size =\"26482688\"]\n  34 [size=\"60269227\", alpha=\"0.01\", expect_size=\"18080768\"] \n  34 -> 35 [size =\"18080768\"]\n  35 [size=\"69089280\", alpha=\"0.18\", expect_size=\"20726784\"] \n  35 -> 36 [size =\"20726784\"]\n  36 [size=\"59798187\", alpha=\"0.11\", expect_size=\"17939456\"] \n  36 -> 37 [size =\"17939456\"]\n  37 [size=\"125952000\", alpha=\"0.01\", expect_size=\"37785600\"] \n  37 -> 38 [size =\"37785600\"]\n  38 [size=\"150831787\", alpha=\"0.09\", expect_size=\"45249536\"] \n  38 -> 39 [size =\"45249536\"]\n  39 [size=\"159071573\", alpha=\"0.08\", expect_size=\"47721472\"] \n  39 -> 40 [size =\"47721472\"]\n  40 [size=\"160344747\", alpha=\"0.02\", expect_size=\"48103424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65748480\", alpha=\"0.02\", expect_size=\"26299392\"] \n  1 -> 15 [size =\"26299392\"]\n  1 -> 16 [size =\"26299392\"]\n  1 -> 19 [size =\"26299392\"]\n  1 -> 21 [size =\"26299392\"]\n  1 -> 22 [size =\"26299392\"]\n  1 -> 24 [size =\"26299392\"]\n  1 -> 28 [size =\"26299392\"]\n  1 -> 29 [size =\"26299392\"]\n  2 [size=\"115356160\", alpha=\"0.06\", expect_size=\"46142464\"] \n  2 -> 16 [size =\"46142464\"]\n  2 -> 16 [size =\"46142464\"]\n  2 -> 17 [size =\"46142464\"]\n  2 -> 18 [size =\"46142464\"]\n  2 -> 21 [size =\"46142464\"]\n  2 -> 22 [size =\"46142464\"]\n  2 -> 23 [size =\"46142464\"]\n  2 -> 24 [size =\"46142464\"]\n  2 -> 25 [size =\"46142464\"]\n  2 -> 26 [size =\"46142464\"]\n  2 -> 28 [size =\"46142464\"]\n  3 [size=\"97817600\", alpha=\"0.03\", expect_size=\"39127040\"] \n  3 -> 16 [size =\"39127040\"]\n  3 -> 19 [size =\"39127040\"]\n  3 -> 21 [size =\"39127040\"]\n  3 -> 22 [size =\"39127040\"]\n  3 -> 24 [size =\"39127040\"]\n  3 -> 26 [size =\"39127040\"]\n  4 [size=\"102512640\", alpha=\"0.05\", expect_size=\"41005056\"] \n  4 -> 17 [size =\"41005056\"]\n  4 -> 18 [size =\"41005056\"]\n  4 -> 21 [size =\"41005056\"]\n  4 -> 22 [size =\"41005056\"]\n  4 -> 26 [size =\"41005056\"]\n  4 -> 26 [size =\"41005056\"]\n  4 -> 28 [size =\"41005056\"]\n  5 [size=\"125724160\", alpha=\"0.10\", expect_size=\"50289664\"] \n  5 -> 15 [size =\"50289664\"]\n  5 -> 18 [size =\"50289664\"]\n  5 -> 20 [size =\"50289664\"]\n  5 -> 21 [size =\"50289664\"]\n  5 -> 23 [size =\"50289664\"]\n  5 -> 26 [size =\"50289664\"]\n  6 [size=\"106700800\", alpha=\"0.18\", expect_size=\"42680320\"] \n  6 -> 15 [size =\"42680320\"]\n  6 -> 21 [size =\"42680320\"]\n  6 -> 22 [size =\"42680320\"]\n  6 -> 24 [size =\"42680320\"]\n  6 -> 25 [size =\"42680320\"]\n  6 -> 26 [size =\"42680320\"]\n  6 -> 28 [size =\"42680320\"]\n  6 -> 29 [size =\"42680320\"]\n  7 [size=\"66158080\", alpha=\"0.16\", expect_size=\"26463232\"] \n  7 -> 15 [size =\"26463232\"]\n  7 -> 16 [size =\"26463232\"]\n  7 -> 21 [size =\"26463232\"]\n  7 -> 23 [size =\"26463232\"]\n  7 -> 25 [size =\"26463232\"]\n  7 -> 26 [size =\"26463232\"]\n  7 -> 27 [size =\"26463232\"]\n  7 -> 28 [size =\"26463232\"]\n  7 -> 29 [size =\"26463232\"]\n  8 [size=\"79339520\", alpha=\"0.01\", expect_size=\"31735808\"] \n  8 -> 17 [size =\"31735808\"]\n  8 -> 29 [size =\"31735808\"]\n  9 [size=\"104765440\", alpha=\"0.11\", expect_size=\"41906176\"] \n  9 -> 21 [size =\"41906176\"]\n  9 -> 22 [size =\"41906176\"]\n  9 -> 26 [size =\"41906176\"]\n  9 -> 29 [size =\"41906176\"]\n  10 [size=\"29483520\", alpha=\"0.07\", expect_size=\"11793408\"] \n  10 -> 16 [size =\"11793408\"]\n  10 -> 18 [size =\"11793408\"]\n  10 -> 21 [size =\"11793408\"]\n  10 -> 22 [size =\"11793408\"]\n  10 -> 28 [size =\"11793408\"]\n  10 -> 29 [size =\"11793408\"]\n  11 [size=\"17999360\", alpha=\"0.03\", expect_size=\"7199744\"] \n  11 -> 15 [size =\"7199744\"]\n  11 -> 16 [size =\"7199744\"]\n  11 -> 17 [size =\"7199744\"]\n  11 -> 19 [size =\"7199744\"]\n  11 -> 20 [size =\"7199744\"]\n  11 -> 23 [size =\"7199744\"]\n  11 -> 27 [size =\"7199744\"]\n  11 -> 28 [size =\"7199744\"]\n  11 -> 29 [size =\"7199744\"]\n  12 [size=\"31406080\", alpha=\"0.16\", expect_size=\"12562432\"] \n  12 -> 15 [size =\"12562432\"]\n  12 -> 16 [size =\"12562432\"]\n  12 -> 17 [size =\"12562432\"]\n  12 -> 19 [size =\"12562432\"]\n  12 -> 20 [size =\"12562432\"]\n  12 -> 21 [size =\"12562432\"]\n  12 -> 23 [size =\"12562432\"]\n  12 -> 26 [size =\"12562432\"]\n  12 -> 29 [size =\"12562432\"]\n  13 [size=\"65361920\", alpha=\"0.09\", expect_size=\"26144768\"] \n  13 -> 15 [size =\"26144768\"]\n  13 -> 16 [size =\"26144768\"]\n  13 -> 20 [size =\"26144768\"]\n  13 -> 29 [size =\"26144768\"]\n  14 [size=\"85283840\", alpha=\"0.00\", expect_size=\"34113536\"] \n  14 -> 15 [size =\"34113536\"]\n  14 -> 16 [size =\"34113536\"]\n  14 -> 20 [size =\"34113536\"]\n  14 -> 22 [size =\"34113536\"]\n  14 -> 24 [size =\"34113536\"]\n  14 -> 25 [size =\"34113536\"]\n  15 [size=\"115025920\", alpha=\"0.05\", expect_size=\"46010368\"] \n  15 -> 31 [size =\"46010368\"]\n  15 -> 32 [size =\"46010368\"]\n  15 -> 34 [size =\"46010368\"]\n  15 -> 36 [size =\"46010368\"]\n  15 -> 37 [size =\"46010368\"]\n  15 -> 38 [size =\"46010368\"]\n  15 -> 39 [size =\"46010368\"]\n  16 [size=\"58792960\", alpha=\"0.20\", expect_size=\"23517184\"] \n  16 -> 31 [size =\"23517184\"]\n  16 -> 33 [size =\"23517184\"]\n  16 -> 35 [size =\"23517184\"]\n  17 [size=\"44047360\", alpha=\"0.10\", expect_size=\"17618944\"] \n  17 -> 30 [size =\"17618944\"]\n  17 -> 32 [size =\"17618944\"]\n  17 -> 34 [size =\"17618944\"]\n  17 -> 35 [size =\"17618944\"]\n  17 -> 37 [size =\"17618944\"]\n  18 [size=\"19701760\", alpha=\"0.13\", expect_size=\"7880704\"] \n  18 -> 32 [size =\"7880704\"]\n  18 -> 33 [size =\"7880704\"]\n  18 -> 35 [size =\"7880704\"]\n  18 -> 36 [size =\"7880704\"]\n  19 [size=\"27973120\", alpha=\"0.12\", expect_size=\"11189248\"] \n  19 -> 30 [size =\"11189248\"]\n  19 -> 31 [size =\"11189248\"]\n  19 -> 32 [size =\"11189248\"]\n  19 -> 33 [size =\"11189248\"]\n  19 -> 38 [size =\"11189248\"]\n  19 -> 39 [size =\"11189248\"]\n  20 [size=\"94085120\", alpha=\"0.04\", expect_size=\"37634048\"] \n  20 -> 30 [size =\"37634048\"]\n  20 -> 31 [size =\"37634048\"]\n  20 -> 33 [size =\"37634048\"]\n  20 -> 34 [size =\"37634048\"]\n  20 -> 38 [size =\"37634048\"]\n  20 -> 40 [size =\"37634048\"]\n  21 [size=\"19100160\", alpha=\"0.05\", expect_size=\"7640064\"] \n  21 -> 30 [size =\"7640064\"]\n  21 -> 32 [size =\"7640064\"]\n  21 -> 40 [size =\"7640064\"]\n  22 [size=\"36723200\", alpha=\"0.04\", expect_size=\"14689280\"] \n  22 -> 40 [size =\"14689280\"]\n  23 [size=\"13411840\", alpha=\"0.16\", expect_size=\"5364736\"] \n  23 -> 31 [size =\"5364736\"]\n  23 -> 33 [size =\"5364736\"]\n  23 -> 37 [size =\"5364736\"]\n  23 -> 38 [size =\"5364736\"]\n  23 -> 40 [size =\"5364736\"]\n  24 [size=\"69027840\", alpha=\"0.04\", expect_size=\"27611136\"] \n  24 -> 31 [size =\"27611136\"]\n  24 -> 33 [size =\"27611136\"]\n  24 -> 34 [size =\"27611136\"]\n  24 -> 36 [size =\"27611136\"]\n  24 -> 40 [size =\"27611136\"]\n  25 [size=\"70709760\", alpha=\"0.12\", expect_size=\"28283904\"] \n  25 -> 31 [size =\"28283904\"]\n  25 -> 32 [size =\"28283904\"]\n  25 -> 34 [size =\"28283904\"]\n  25 -> 40 [size =\"28283904\"]\n  25 -> 40 [size =\"28283904\"]\n  26 [size=\"103014400\", alpha=\"0.15\", expect_size=\"41205760\"] \n  26 -> 31 [size =\"41205760\"]\n  26 -> 38 [size =\"41205760\"]\n  26 -> 40 [size =\"41205760\"]\n  27 [size=\"100198400\", alpha=\"0.07\", expect_size=\"40079360\"] \n  27 -> 33 [size =\"40079360\"]\n  27 -> 35 [size =\"40079360\"]\n  27 -> 38 [size =\"40079360\"]\n  27 -> 40 [size =\"40079360\"]\n  28 [size=\"43261440\", alpha=\"0.10\", expect_size=\"17304576\"] \n  28 -> 31 [size =\"17304576\"]\n  28 -> 33 [size =\"17304576\"]\n  28 -> 35 [size =\"17304576\"]\n  28 -> 36 [size =\"17304576\"]\n  28 -> 37 [size =\"17304576\"]\n  28 -> 39 [size =\"17304576\"]\n  28 -> 40 [size =\"17304576\"]\n  29 [size=\"119301120\", alpha=\"0.09\", expect_size=\"47720448\"] \n  29 -> 31 [size =\"47720448\"]\n  29 -> 32 [size =\"47720448\"]\n  29 -> 33 [size =\"47720448\"]\n  29 -> 35 [size =\"47720448\"]\n  30 [size=\"69355520\", alpha=\"0.10\", expect_size=\"27742208\"] \n  31 [size=\"91765760\", alpha=\"0.13\", expect_size=\"36706304\"] \n  32 [size=\"121208320\", alpha=\"0.18\", expect_size=\"48483328\"] \n  33 [size=\"24005120\", alpha=\"0.12\", expect_size=\"9602048\"] \n  34 [size=\"120793600\", alpha=\"0.19\", expect_size=\"48317440\"] \n  35 [size=\"29125120\", alpha=\"0.03\", expect_size=\"11650048\"] \n  36 [size=\"97541120\", alpha=\"0.14\", expect_size=\"39016448\"] \n  37 [size=\"65745920\", alpha=\"0.11\", expect_size=\"26298368\"] \n  38 [size=\"104755200\", alpha=\"0.09\", expect_size=\"41902080\"] \n  39 [size=\"44871680\", alpha=\"0.10\", expect_size=\"17948672\"] \n  40 [size=\"95720960\", alpha=\"0.04\", expect_size=\"38288384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100884480\", alpha=\"0.18\", expect_size=\"40353792\"] \n  2 [size=\"47552000\", alpha=\"0.04\", expect_size=\"19020800\"] \n  2 -> 4 [size =\"19020800\"]\n  3 [size=\"37196800\", alpha=\"0.08\", expect_size=\"14878720\"] \n  3 -> 5 [size =\"14878720\"]\n  4 [size=\"65011200\", alpha=\"0.01\", expect_size=\"26004480\"] \n  4 -> 6 [size =\"26004480\"]\n  4 -> 7 [size =\"26004480\"]\n  5 [size=\"95761920\", alpha=\"0.02\", expect_size=\"38304768\"] \n  6 [size=\"68398080\", alpha=\"0.05\", expect_size=\"27359232\"] \n  6 -> 9 [size =\"27359232\"]\n  7 [size=\"78970880\", alpha=\"0.13\", expect_size=\"31588352\"] \n  7 -> 8 [size =\"31588352\"]\n  8 [size=\"14302720\", alpha=\"0.20\", expect_size=\"5721088\"] \n  8 -> 10 [size =\"5721088\"]\n  8 -> 12 [size =\"5721088\"]\n  9 [size=\"122147840\", alpha=\"0.15\", expect_size=\"48859136\"] \n  9 -> 11 [size =\"48859136\"]\n  10 [size=\"104512000\", alpha=\"0.07\", expect_size=\"41804800\"] \n  10 -> 13 [size =\"41804800\"]\n  10 -> 14 [size =\"41804800\"]\n  11 [size=\"29511680\", alpha=\"0.10\", expect_size=\"11804672\"] \n  11 -> 13 [size =\"11804672\"]\n  12 [size=\"20313600\", alpha=\"0.20\", expect_size=\"8125440\"] \n  12 -> 14 [size =\"8125440\"]\n  13 [size=\"46146560\", alpha=\"0.14\", expect_size=\"18458624\"] \n  13 -> 16 [size =\"18458624\"]\n  14 [size=\"93181440\", alpha=\"0.09\", expect_size=\"37272576\"] \n  14 -> 15 [size =\"37272576\"]\n  15 [size=\"98874880\", alpha=\"0.04\", expect_size=\"39549952\"] \n  16 [size=\"113461760\", alpha=\"0.04\", expect_size=\"45384704\"] \n  16 -> 17 [size =\"45384704\"]\n  16 -> 18 [size =\"45384704\"]\n  16 -> 19 [size =\"45384704\"]\n  17 [size=\"23011840\", alpha=\"0.02\", expect_size=\"9204736\"] \n  17 -> 21 [size =\"9204736\"]\n  18 [size=\"102410240\", alpha=\"0.16\", expect_size=\"40964096\"] \n  18 -> 20 [size =\"40964096\"]\n  19 [size=\"99998720\", alpha=\"0.10\", expect_size=\"39999488\"] \n  20 [size=\"73405440\", alpha=\"0.03\", expect_size=\"29362176\"] \n  20 -> 23 [size =\"29362176\"]\n  20 -> 24 [size =\"29362176\"]\n  21 [size=\"113571840\", alpha=\"0.11\", expect_size=\"45428736\"] \n  21 -> 22 [size =\"45428736\"]\n  22 [size=\"54571520\", alpha=\"0.05\", expect_size=\"21828608\"] \n  23 [size=\"51781120\", alpha=\"0.03\", expect_size=\"20712448\"] \n  23 -> 25 [size =\"20712448\"]\n  23 -> 26 [size =\"20712448\"]\n  24 [size=\"16798720\", alpha=\"0.10\", expect_size=\"6719488\"] \n  24 -> 25 [size =\"6719488\"]\n  25 [size=\"66974720\", alpha=\"0.10\", expect_size=\"26789888\"] \n  25 -> 28 [size =\"26789888\"]\n  26 [size=\"91834880\", alpha=\"0.01\", expect_size=\"36733952\"] \n  26 -> 27 [size =\"36733952\"]\n  26 -> 29 [size =\"36733952\"]\n  27 [size=\"114979840\", alpha=\"0.02\", expect_size=\"45991936\"] \n  27 -> 30 [size =\"45991936\"]\n  28 [size=\"125120000\", alpha=\"0.03\", expect_size=\"50048000\"] \n  28 -> 32 [size =\"50048000\"]\n  29 [size=\"100976640\", alpha=\"0.03\", expect_size=\"40390656\"] \n  29 -> 31 [size =\"40390656\"]\n  30 [size=\"43223040\", alpha=\"0.19\", expect_size=\"17289216\"] \n  30 -> 35 [size =\"17289216\"]\n  31 [size=\"62725120\", alpha=\"0.17\", expect_size=\"25090048\"] \n  31 -> 33 [size =\"25090048\"]\n  32 [size=\"129295360\", alpha=\"0.16\", expect_size=\"51718144\"] \n  32 -> 34 [size =\"51718144\"]\n  32 -> 35 [size =\"51718144\"]\n  33 [size=\"41448960\", alpha=\"0.01\", expect_size=\"16579584\"] \n  33 -> 37 [size =\"16579584\"]\n  34 [size=\"59212800\", alpha=\"0.00\", expect_size=\"23685120\"] \n  34 -> 36 [size =\"23685120\"]\n  34 -> 38 [size =\"23685120\"]\n  35 [size=\"116520960\", alpha=\"0.13\", expect_size=\"46608384\"] \n  35 -> 37 [size =\"46608384\"]\n  35 -> 38 [size =\"46608384\"]\n  36 [size=\"60106240\", alpha=\"0.03\", expect_size=\"24042496\"] \n  36 -> 39 [size =\"24042496\"]\n  37 [size=\"63221760\", alpha=\"0.15\", expect_size=\"25288704\"] \n  37 -> 40 [size =\"25288704\"]\n  38 [size=\"73766400\", alpha=\"0.02\", expect_size=\"29506560\"] \n  39 [size=\"92940800\", alpha=\"0.04\", expect_size=\"37176320\"] \n  40 [size=\"111820800\", alpha=\"0.16\", expect_size=\"44728320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45578240\", alpha=\"0.00\", expect_size=\"22789120\"] \n  1 -> 2 [size =\"22789120\"]\n  2 [size=\"60375040\", alpha=\"0.01\", expect_size=\"30187520\"] \n  2 -> 3 [size =\"30187520\"]\n  3 [size=\"87556096\", alpha=\"0.05\", expect_size=\"43778048\"] \n  3 -> 4 [size =\"43778048\"]\n  4 [size=\"22827008\", alpha=\"0.18\", expect_size=\"11413504\"] \n  4 -> 5 [size =\"11413504\"]\n  5 [size=\"54384640\", alpha=\"0.17\", expect_size=\"27192320\"] \n  5 -> 6 [size =\"27192320\"]\n  6 [size=\"88961024\", alpha=\"0.00\", expect_size=\"44480512\"] \n  6 -> 7 [size =\"44480512\"]\n  7 [size=\"84191232\", alpha=\"0.09\", expect_size=\"42095616\"] \n  7 -> 8 [size =\"42095616\"]\n  8 [size=\"24541184\", alpha=\"0.07\", expect_size=\"12270592\"] \n  8 -> 9 [size =\"12270592\"]\n  9 [size=\"32565248\", alpha=\"0.12\", expect_size=\"16282624\"] \n  9 -> 10 [size =\"16282624\"]\n  10 [size=\"29646848\", alpha=\"0.14\", expect_size=\"14823424\"] \n  10 -> 11 [size =\"14823424\"]\n  11 [size=\"19218432\", alpha=\"0.08\", expect_size=\"9609216\"] \n  11 -> 12 [size =\"9609216\"]\n  12 [size=\"20318208\", alpha=\"0.02\", expect_size=\"10159104\"] \n  12 -> 13 [size =\"10159104\"]\n  13 [size=\"26419200\", alpha=\"0.18\", expect_size=\"13209600\"] \n  13 -> 14 [size =\"13209600\"]\n  14 [size=\"50653184\", alpha=\"0.16\", expect_size=\"25326592\"] \n  14 -> 15 [size =\"25326592\"]\n  15 [size=\"39604224\", alpha=\"0.17\", expect_size=\"19802112\"] \n  15 -> 16 [size =\"19802112\"]\n  16 [size=\"26177536\", alpha=\"0.16\", expect_size=\"13088768\"] \n  16 -> 17 [size =\"13088768\"]\n  17 [size=\"26673152\", alpha=\"0.13\", expect_size=\"13336576\"] \n  17 -> 18 [size =\"13336576\"]\n  18 [size=\"66797568\", alpha=\"0.07\", expect_size=\"33398784\"] \n  18 -> 19 [size =\"33398784\"]\n  19 [size=\"101920768\", alpha=\"0.14\", expect_size=\"50960384\"] \n  19 -> 20 [size =\"50960384\"]\n  20 [size=\"63461376\", alpha=\"0.16\", expect_size=\"31730688\"] \n  20 -> 21 [size =\"31730688\"]\n  21 [size=\"37371904\", alpha=\"0.06\", expect_size=\"18685952\"] \n  21 -> 22 [size =\"18685952\"]\n  22 [size=\"73297920\", alpha=\"0.06\", expect_size=\"36648960\"] \n  22 -> 23 [size =\"36648960\"]\n  23 [size=\"81115136\", alpha=\"0.02\", expect_size=\"40557568\"] \n  23 -> 24 [size =\"40557568\"]\n  24 [size=\"71147520\", alpha=\"0.02\", expect_size=\"35573760\"] \n  24 -> 25 [size =\"35573760\"]\n  25 [size=\"54568960\", alpha=\"0.10\", expect_size=\"27284480\"] \n  25 -> 26 [size =\"27284480\"]\n  26 [size=\"42063872\", alpha=\"0.15\", expect_size=\"21031936\"] \n  26 -> 27 [size =\"21031936\"]\n  27 [size=\"24475648\", alpha=\"0.16\", expect_size=\"12237824\"] \n  27 -> 28 [size =\"12237824\"]\n  28 [size=\"85913600\", alpha=\"0.19\", expect_size=\"42956800\"] \n  28 -> 29 [size =\"42956800\"]\n  29 [size=\"26075136\", alpha=\"0.08\", expect_size=\"13037568\"] \n  29 -> 30 [size =\"13037568\"]\n  30 [size=\"91195392\", alpha=\"0.00\", expect_size=\"45597696\"] \n  30 -> 31 [size =\"45597696\"]\n  31 [size=\"72275968\", alpha=\"0.14\", expect_size=\"36137984\"] \n  31 -> 32 [size =\"36137984\"]\n  32 [size=\"98787328\", alpha=\"0.11\", expect_size=\"49393664\"] \n  32 -> 33 [size =\"49393664\"]\n  33 [size=\"31870976\", alpha=\"0.11\", expect_size=\"15935488\"] \n  33 -> 34 [size =\"15935488\"]\n  34 [size=\"42971136\", alpha=\"0.19\", expect_size=\"21485568\"] \n  34 -> 35 [size =\"21485568\"]\n  35 [size=\"50059264\", alpha=\"0.13\", expect_size=\"25029632\"] \n  35 -> 36 [size =\"25029632\"]\n  36 [size=\"97034240\", alpha=\"0.11\", expect_size=\"48517120\"] \n  36 -> 37 [size =\"48517120\"]\n  37 [size=\"73627648\", alpha=\"0.12\", expect_size=\"36813824\"] \n  37 -> 38 [size =\"36813824\"]\n  38 [size=\"53549056\", alpha=\"0.05\", expect_size=\"26774528\"] \n  38 -> 39 [size =\"26774528\"]\n  39 [size=\"50853888\", alpha=\"0.18\", expect_size=\"25426944\"] \n  39 -> 40 [size =\"25426944\"]\n  40 [size=\"87623680\", alpha=\"0.01\", expect_size=\"43811840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119019520\", alpha=\"0.18\", expect_size=\"35705856\"] \n  1 -> 14 [size =\"35705856\"]\n  1 -> 18 [size =\"35705856\"]\n  1 -> 23 [size =\"35705856\"]\n  1 -> 23 [size =\"35705856\"]\n  1 -> 24 [size =\"35705856\"]\n  1 -> 25 [size =\"35705856\"]\n  2 [size=\"97024000\", alpha=\"0.15\", expect_size=\"29107200\"] \n  2 -> 13 [size =\"29107200\"]\n  2 -> 14 [size =\"29107200\"]\n  2 -> 19 [size =\"29107200\"]\n  2 -> 21 [size =\"29107200\"]\n  2 -> 22 [size =\"29107200\"]\n  2 -> 23 [size =\"29107200\"]\n  3 [size=\"25432747\", alpha=\"0.19\", expect_size=\"7629824\"] \n  3 -> 14 [size =\"7629824\"]\n  3 -> 19 [size =\"7629824\"]\n  3 -> 19 [size =\"7629824\"]\n  3 -> 20 [size =\"7629824\"]\n  3 -> 22 [size =\"7629824\"]\n  3 -> 25 [size =\"7629824\"]\n  4 [size=\"120490667\", alpha=\"0.14\", expect_size=\"36147200\"] \n  4 -> 18 [size =\"36147200\"]\n  4 -> 20 [size =\"36147200\"]\n  4 -> 25 [size =\"36147200\"]\n  5 [size=\"92948480\", alpha=\"0.14\", expect_size=\"27884544\"] \n  5 -> 15 [size =\"27884544\"]\n  5 -> 16 [size =\"27884544\"]\n  5 -> 17 [size =\"27884544\"]\n  5 -> 19 [size =\"27884544\"]\n  5 -> 22 [size =\"27884544\"]\n  6 [size=\"166912000\", alpha=\"0.09\", expect_size=\"50073600\"] \n  6 -> 17 [size =\"50073600\"]\n  6 -> 23 [size =\"50073600\"]\n  6 -> 25 [size =\"50073600\"]\n  7 [size=\"100495360\", alpha=\"0.17\", expect_size=\"30148608\"] \n  7 -> 16 [size =\"30148608\"]\n  7 -> 17 [size =\"30148608\"]\n  7 -> 21 [size =\"30148608\"]\n  7 -> 22 [size =\"30148608\"]\n  7 -> 23 [size =\"30148608\"]\n  8 [size=\"75888640\", alpha=\"0.17\", expect_size=\"22766592\"] \n  8 -> 14 [size =\"22766592\"]\n  8 -> 17 [size =\"22766592\"]\n  8 -> 22 [size =\"22766592\"]\n  9 [size=\"31160320\", alpha=\"0.02\", expect_size=\"9348096\"] \n  9 -> 13 [size =\"9348096\"]\n  9 -> 14 [size =\"9348096\"]\n  9 -> 15 [size =\"9348096\"]\n  9 -> 17 [size =\"9348096\"]\n  9 -> 18 [size =\"9348096\"]\n  9 -> 21 [size =\"9348096\"]\n  9 -> 24 [size =\"9348096\"]\n  10 [size=\"63211520\", alpha=\"0.09\", expect_size=\"18963456\"] \n  10 -> 14 [size =\"18963456\"]\n  10 -> 18 [size =\"18963456\"]\n  10 -> 20 [size =\"18963456\"]\n  10 -> 21 [size =\"18963456\"]\n  10 -> 24 [size =\"18963456\"]\n  10 -> 25 [size =\"18963456\"]\n  11 [size=\"43178667\", alpha=\"0.15\", expect_size=\"12953600\"] \n  11 -> 13 [size =\"12953600\"]\n  11 -> 16 [size =\"12953600\"]\n  11 -> 17 [size =\"12953600\"]\n  11 -> 18 [size =\"12953600\"]\n  11 -> 20 [size =\"12953600\"]\n  11 -> 21 [size =\"12953600\"]\n  11 -> 24 [size =\"12953600\"]\n  12 [size=\"27279360\", alpha=\"0.16\", expect_size=\"8183808\"] \n  12 -> 13 [size =\"8183808\"]\n  12 -> 20 [size =\"8183808\"]\n  12 -> 21 [size =\"8183808\"]\n  12 -> 23 [size =\"8183808\"]\n  12 -> 24 [size =\"8183808\"]\n  13 [size=\"146261333\", alpha=\"0.15\", expect_size=\"43878400\"] \n  13 -> 29 [size =\"43878400\"]\n  13 -> 34 [size =\"43878400\"]\n  13 -> 36 [size =\"43878400\"]\n  14 [size=\"139973973\", alpha=\"0.06\", expect_size=\"41992192\"] \n  14 -> 29 [size =\"41992192\"]\n  14 -> 32 [size =\"41992192\"]\n  14 -> 34 [size =\"41992192\"]\n  14 -> 35 [size =\"41992192\"]\n  15 [size=\"94033920\", alpha=\"0.10\", expect_size=\"28210176\"] \n  15 -> 35 [size =\"28210176\"]\n  16 [size=\"47066453\", alpha=\"0.16\", expect_size=\"14119936\"] \n  16 -> 29 [size =\"14119936\"]\n  16 -> 33 [size =\"14119936\"]\n  16 -> 34 [size =\"14119936\"]\n  17 [size=\"116893013\", alpha=\"0.00\", expect_size=\"35067904\"] \n  17 -> 30 [size =\"35067904\"]\n  17 -> 31 [size =\"35067904\"]\n  17 -> 33 [size =\"35067904\"]\n  17 -> 34 [size =\"35067904\"]\n  18 [size=\"89698987\", alpha=\"0.12\", expect_size=\"26909696\"] \n  18 -> 27 [size =\"26909696\"]\n  18 -> 29 [size =\"26909696\"]\n  18 -> 30 [size =\"26909696\"]\n  18 -> 33 [size =\"26909696\"]\n  18 -> 37 [size =\"26909696\"]\n  19 [size=\"64945493\", alpha=\"0.03\", expect_size=\"19483648\"] \n  19 -> 26 [size =\"19483648\"]\n  19 -> 35 [size =\"19483648\"]\n  20 [size=\"81158827\", alpha=\"0.12\", expect_size=\"24347648\"] \n  20 -> 28 [size =\"24347648\"]\n  20 -> 29 [size =\"24347648\"]\n  20 -> 30 [size =\"24347648\"]\n  20 -> 31 [size =\"24347648\"]\n  21 [size=\"148288853\", alpha=\"0.13\", expect_size=\"44486656\"] \n  21 -> 29 [size =\"44486656\"]\n  21 -> 34 [size =\"44486656\"]\n  21 -> 36 [size =\"44486656\"]\n  22 [size=\"109649920\", alpha=\"0.04\", expect_size=\"32894976\"] \n  22 -> 26 [size =\"32894976\"]\n  22 -> 29 [size =\"32894976\"]\n  22 -> 30 [size =\"32894976\"]\n  22 -> 32 [size =\"32894976\"]\n  22 -> 33 [size =\"32894976\"]\n  23 [size=\"76366507\", alpha=\"0.17\", expect_size=\"22909952\"] \n  23 -> 27 [size =\"22909952\"]\n  23 -> 28 [size =\"22909952\"]\n  23 -> 32 [size =\"22909952\"]\n  23 -> 33 [size =\"22909952\"]\n  23 -> 34 [size =\"22909952\"]\n  23 -> 37 [size =\"22909952\"]\n  24 [size=\"35136853\", alpha=\"0.02\", expect_size=\"10541056\"] \n  24 -> 26 [size =\"10541056\"]\n  24 -> 30 [size =\"10541056\"]\n  24 -> 37 [size =\"10541056\"]\n  25 [size=\"78991360\", alpha=\"0.17\", expect_size=\"23697408\"] \n  25 -> 26 [size =\"23697408\"]\n  25 -> 27 [size =\"23697408\"]\n  25 -> 32 [size =\"23697408\"]\n  25 -> 33 [size =\"23697408\"]\n  25 -> 35 [size =\"23697408\"]\n  26 [size=\"158532267\", alpha=\"0.12\", expect_size=\"47559680\"] \n  26 -> 39 [size =\"47559680\"]\n  26 -> 40 [size =\"47559680\"]\n  27 [size=\"124648107\", alpha=\"0.16\", expect_size=\"37394432\"] \n  27 -> 40 [size =\"37394432\"]\n  28 [size=\"126498133\", alpha=\"0.08\", expect_size=\"37949440\"] \n  28 -> 39 [size =\"37949440\"]\n  29 [size=\"62269440\", alpha=\"0.02\", expect_size=\"18680832\"] \n  29 -> 39 [size =\"18680832\"]\n  30 [size=\"86674773\", alpha=\"0.02\", expect_size=\"26002432\"] \n  30 -> 39 [size =\"26002432\"]\n  31 [size=\"19913387\", alpha=\"0.05\", expect_size=\"5974016\"] \n  32 [size=\"120814933\", alpha=\"0.09\", expect_size=\"36244480\"] \n  33 [size=\"154354347\", alpha=\"0.10\", expect_size=\"46306304\"] \n  33 -> 40 [size =\"46306304\"]\n  34 [size=\"128494933\", alpha=\"0.06\", expect_size=\"38548480\"] \n  34 -> 40 [size =\"38548480\"]\n  35 [size=\"146247680\", alpha=\"0.12\", expect_size=\"43874304\"] \n  35 -> 38 [size =\"43874304\"]\n  35 -> 40 [size =\"43874304\"]\n  36 [size=\"125801813\", alpha=\"0.01\", expect_size=\"37740544\"] \n  36 -> 39 [size =\"37740544\"]\n  37 [size=\"59310080\", alpha=\"0.04\", expect_size=\"17793024\"] \n  37 -> 39 [size =\"17793024\"]\n  37 -> 40 [size =\"17793024\"]\n  38 [size=\"29794987\", alpha=\"0.15\", expect_size=\"8938496\"] \n  39 [size=\"95668907\", alpha=\"0.13\", expect_size=\"28700672\"] \n  40 [size=\"113329493\", alpha=\"0.18\", expect_size=\"33998848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42792960\", alpha=\"0.09\", expect_size=\"17117184\"] \n  1 -> 2 [size =\"17117184\"]\n  2 [size=\"14740480\", alpha=\"0.19\", expect_size=\"5896192\"] \n  2 -> 3 [size =\"5896192\"]\n  3 [size=\"88640000\", alpha=\"0.04\", expect_size=\"35456000\"] \n  3 -> 4 [size =\"35456000\"]\n  4 [size=\"98864640\", alpha=\"0.03\", expect_size=\"39545856\"] \n  4 -> 5 [size =\"39545856\"]\n  5 [size=\"104849920\", alpha=\"0.12\", expect_size=\"41939968\"] \n  5 -> 6 [size =\"41939968\"]\n  6 [size=\"20372480\", alpha=\"0.02\", expect_size=\"8148992\"] \n  6 -> 7 [size =\"8148992\"]\n  7 [size=\"47526400\", alpha=\"0.15\", expect_size=\"19010560\"] \n  7 -> 8 [size =\"19010560\"]\n  8 [size=\"86497280\", alpha=\"0.13\", expect_size=\"34598912\"] \n  8 -> 9 [size =\"34598912\"]\n  9 [size=\"57909760\", alpha=\"0.00\", expect_size=\"23163904\"] \n  9 -> 10 [size =\"23163904\"]\n  10 [size=\"60823040\", alpha=\"0.10\", expect_size=\"24329216\"] \n  10 -> 11 [size =\"24329216\"]\n  11 [size=\"21552640\", alpha=\"0.10\", expect_size=\"8621056\"] \n  11 -> 12 [size =\"8621056\"]\n  12 [size=\"73128960\", alpha=\"0.16\", expect_size=\"29251584\"] \n  12 -> 13 [size =\"29251584\"]\n  13 [size=\"68124160\", alpha=\"0.09\", expect_size=\"27249664\"] \n  13 -> 14 [size =\"27249664\"]\n  14 [size=\"92723200\", alpha=\"0.17\", expect_size=\"37089280\"] \n  14 -> 15 [size =\"37089280\"]\n  15 [size=\"107686400\", alpha=\"0.14\", expect_size=\"43074560\"] \n  15 -> 16 [size =\"43074560\"]\n  16 [size=\"59338240\", alpha=\"0.08\", expect_size=\"23735296\"] \n  16 -> 17 [size =\"23735296\"]\n  17 [size=\"69066240\", alpha=\"0.07\", expect_size=\"27626496\"] \n  17 -> 18 [size =\"27626496\"]\n  18 [size=\"41413120\", alpha=\"0.20\", expect_size=\"16565248\"] \n  18 -> 19 [size =\"16565248\"]\n  19 [size=\"115799040\", alpha=\"0.06\", expect_size=\"46319616\"] \n  19 -> 20 [size =\"46319616\"]\n  20 [size=\"116761600\", alpha=\"0.10\", expect_size=\"46704640\"] \n  20 -> 21 [size =\"46704640\"]\n  21 [size=\"55459840\", alpha=\"0.18\", expect_size=\"22183936\"] \n  21 -> 22 [size =\"22183936\"]\n  22 [size=\"116907520\", alpha=\"0.07\", expect_size=\"46763008\"] \n  22 -> 23 [size =\"46763008\"]\n  23 [size=\"95541760\", alpha=\"0.08\", expect_size=\"38216704\"] \n  23 -> 24 [size =\"38216704\"]\n  24 [size=\"31705600\", alpha=\"0.05\", expect_size=\"12682240\"] \n  24 -> 25 [size =\"12682240\"]\n  25 [size=\"16568320\", alpha=\"0.16\", expect_size=\"6627328\"] \n  25 -> 26 [size =\"6627328\"]\n  26 [size=\"101173760\", alpha=\"0.09\", expect_size=\"40469504\"] \n  26 -> 27 [size =\"40469504\"]\n  27 [size=\"29465600\", alpha=\"0.08\", expect_size=\"11786240\"] \n  27 -> 28 [size =\"11786240\"]\n  28 [size=\"69414400\", alpha=\"0.19\", expect_size=\"27765760\"] \n  28 -> 29 [size =\"27765760\"]\n  29 [size=\"66757120\", alpha=\"0.18\", expect_size=\"26702848\"] \n  29 -> 30 [size =\"26702848\"]\n  30 [size=\"104670720\", alpha=\"0.04\", expect_size=\"41868288\"] \n  30 -> 31 [size =\"41868288\"]\n  31 [size=\"44677120\", alpha=\"0.13\", expect_size=\"17870848\"] \n  31 -> 32 [size =\"17870848\"]\n  32 [size=\"34426880\", alpha=\"0.11\", expect_size=\"13770752\"] \n  32 -> 33 [size =\"13770752\"]\n  33 [size=\"75553280\", alpha=\"0.19\", expect_size=\"30221312\"] \n  33 -> 34 [size =\"30221312\"]\n  34 [size=\"125629440\", alpha=\"0.20\", expect_size=\"50251776\"] \n  34 -> 35 [size =\"50251776\"]\n  35 [size=\"34480640\", alpha=\"0.17\", expect_size=\"13792256\"] \n  35 -> 36 [size =\"13792256\"]\n  36 [size=\"129784320\", alpha=\"0.02\", expect_size=\"51913728\"] \n  36 -> 37 [size =\"51913728\"]\n  37 [size=\"64911360\", alpha=\"0.17\", expect_size=\"25964544\"] \n  37 -> 38 [size =\"25964544\"]\n  38 [size=\"110210560\", alpha=\"0.16\", expect_size=\"44084224\"] \n  38 -> 39 [size =\"44084224\"]\n  39 [size=\"103144960\", alpha=\"0.13\", expect_size=\"41257984\"] \n  39 -> 40 [size =\"41257984\"]\n  40 [size=\"88514560\", alpha=\"0.08\", expect_size=\"35405824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71696384\", alpha=\"0.14\", expect_size=\"35848192\"] \n  1 -> 15 [size =\"35848192\"]\n  1 -> 19 [size =\"35848192\"]\n  1 -> 22 [size =\"35848192\"]\n  1 -> 24 [size =\"35848192\"]\n  1 -> 26 [size =\"35848192\"]\n  2 [size=\"89540608\", alpha=\"0.05\", expect_size=\"44770304\"] \n  2 -> 18 [size =\"44770304\"]\n  2 -> 19 [size =\"44770304\"]\n  2 -> 22 [size =\"44770304\"]\n  2 -> 24 [size =\"44770304\"]\n  2 -> 25 [size =\"44770304\"]\n  2 -> 27 [size =\"44770304\"]\n  3 [size=\"18866176\", alpha=\"0.02\", expect_size=\"9433088\"] \n  3 -> 19 [size =\"9433088\"]\n  3 -> 19 [size =\"9433088\"]\n  3 -> 21 [size =\"9433088\"]\n  3 -> 22 [size =\"9433088\"]\n  3 -> 27 [size =\"9433088\"]\n  4 [size=\"15923200\", alpha=\"0.20\", expect_size=\"7961600\"] \n  4 -> 17 [size =\"7961600\"]\n  4 -> 18 [size =\"7961600\"]\n  4 -> 19 [size =\"7961600\"]\n  4 -> 22 [size =\"7961600\"]\n  5 [size=\"61190144\", alpha=\"0.15\", expect_size=\"30595072\"] \n  5 -> 16 [size =\"30595072\"]\n  5 -> 23 [size =\"30595072\"]\n  5 -> 24 [size =\"30595072\"]\n  5 -> 26 [size =\"30595072\"]\n  6 [size=\"101396480\", alpha=\"0.11\", expect_size=\"50698240\"] \n  6 -> 16 [size =\"50698240\"]\n  6 -> 18 [size =\"50698240\"]\n  6 -> 19 [size =\"50698240\"]\n  6 -> 22 [size =\"50698240\"]\n  6 -> 24 [size =\"50698240\"]\n  6 -> 25 [size =\"50698240\"]\n  6 -> 27 [size =\"50698240\"]\n  7 [size=\"24426496\", alpha=\"0.04\", expect_size=\"12213248\"] \n  7 -> 15 [size =\"12213248\"]\n  7 -> 19 [size =\"12213248\"]\n  7 -> 24 [size =\"12213248\"]\n  7 -> 25 [size =\"12213248\"]\n  7 -> 26 [size =\"12213248\"]\n  7 -> 27 [size =\"12213248\"]\n  8 [size=\"79337472\", alpha=\"0.18\", expect_size=\"39668736\"] \n  8 -> 16 [size =\"39668736\"]\n  8 -> 22 [size =\"39668736\"]\n  8 -> 24 [size =\"39668736\"]\n  8 -> 25 [size =\"39668736\"]\n  9 [size=\"20420608\", alpha=\"0.06\", expect_size=\"10210304\"] \n  9 -> 15 [size =\"10210304\"]\n  9 -> 22 [size =\"10210304\"]\n  9 -> 24 [size =\"10210304\"]\n  9 -> 27 [size =\"10210304\"]\n  10 [size=\"61777920\", alpha=\"0.16\", expect_size=\"30888960\"] \n  10 -> 16 [size =\"30888960\"]\n  10 -> 18 [size =\"30888960\"]\n  10 -> 22 [size =\"30888960\"]\n  10 -> 23 [size =\"30888960\"]\n  11 [size=\"17324032\", alpha=\"0.03\", expect_size=\"8662016\"] \n  11 -> 15 [size =\"8662016\"]\n  11 -> 18 [size =\"8662016\"]\n  11 -> 21 [size =\"8662016\"]\n  12 [size=\"83789824\", alpha=\"0.17\", expect_size=\"41894912\"] \n  12 -> 15 [size =\"41894912\"]\n  12 -> 18 [size =\"41894912\"]\n  12 -> 19 [size =\"41894912\"]\n  12 -> 24 [size =\"41894912\"]\n  12 -> 27 [size =\"41894912\"]\n  13 [size=\"12828672\", alpha=\"0.09\", expect_size=\"6414336\"] \n  13 -> 15 [size =\"6414336\"]\n  13 -> 18 [size =\"6414336\"]\n  13 -> 20 [size =\"6414336\"]\n  13 -> 25 [size =\"6414336\"]\n  13 -> 26 [size =\"6414336\"]\n  13 -> 27 [size =\"6414336\"]\n  14 [size=\"21086208\", alpha=\"0.16\", expect_size=\"10543104\"] \n  14 -> 15 [size =\"10543104\"]\n  14 -> 18 [size =\"10543104\"]\n  14 -> 22 [size =\"10543104\"]\n  14 -> 27 [size =\"10543104\"]\n  15 [size=\"20684800\", alpha=\"0.19\", expect_size=\"10342400\"] \n  15 -> 28 [size =\"10342400\"]\n  15 -> 29 [size =\"10342400\"]\n  15 -> 35 [size =\"10342400\"]\n  15 -> 36 [size =\"10342400\"]\n  15 -> 39 [size =\"10342400\"]\n  16 [size=\"93353984\", alpha=\"0.01\", expect_size=\"46676992\"] \n  16 -> 28 [size =\"46676992\"]\n  16 -> 29 [size =\"46676992\"]\n  16 -> 35 [size =\"46676992\"]\n  16 -> 36 [size =\"46676992\"]\n  16 -> 38 [size =\"46676992\"]\n  16 -> 39 [size =\"46676992\"]\n  16 -> 40 [size =\"46676992\"]\n  17 [size=\"51032064\", alpha=\"0.18\", expect_size=\"25516032\"] \n  17 -> 31 [size =\"25516032\"]\n  17 -> 35 [size =\"25516032\"]\n  17 -> 36 [size =\"25516032\"]\n  17 -> 36 [size =\"25516032\"]\n  17 -> 37 [size =\"25516032\"]\n  17 -> 38 [size =\"25516032\"]\n  18 [size=\"69113856\", alpha=\"0.03\", expect_size=\"34556928\"] \n  18 -> 31 [size =\"34556928\"]\n  18 -> 34 [size =\"34556928\"]\n  18 -> 35 [size =\"34556928\"]\n  18 -> 36 [size =\"34556928\"]\n  18 -> 38 [size =\"34556928\"]\n  18 -> 40 [size =\"34556928\"]\n  19 [size=\"59197440\", alpha=\"0.12\", expect_size=\"29598720\"] \n  19 -> 31 [size =\"29598720\"]\n  19 -> 32 [size =\"29598720\"]\n  20 [size=\"86585344\", alpha=\"0.13\", expect_size=\"43292672\"] \n  20 -> 30 [size =\"43292672\"]\n  20 -> 34 [size =\"43292672\"]\n  20 -> 36 [size =\"43292672\"]\n  21 [size=\"67137536\", alpha=\"0.07\", expect_size=\"33568768\"] \n  21 -> 28 [size =\"33568768\"]\n  21 -> 30 [size =\"33568768\"]\n  21 -> 31 [size =\"33568768\"]\n  21 -> 32 [size =\"33568768\"]\n  21 -> 34 [size =\"33568768\"]\n  21 -> 39 [size =\"33568768\"]\n  22 [size=\"83109888\", alpha=\"0.19\", expect_size=\"41554944\"] \n  22 -> 32 [size =\"41554944\"]\n  22 -> 34 [size =\"41554944\"]\n  22 -> 35 [size =\"41554944\"]\n  22 -> 40 [size =\"41554944\"]\n  23 [size=\"68730880\", alpha=\"0.11\", expect_size=\"34365440\"] \n  23 -> 32 [size =\"34365440\"]\n  23 -> 35 [size =\"34365440\"]\n  23 -> 40 [size =\"34365440\"]\n  23 -> 40 [size =\"34365440\"]\n  24 [size=\"14694400\", alpha=\"0.06\", expect_size=\"7347200\"] \n  24 -> 31 [size =\"7347200\"]\n  24 -> 32 [size =\"7347200\"]\n  24 -> 33 [size =\"7347200\"]\n  24 -> 35 [size =\"7347200\"]\n  25 [size=\"88240128\", alpha=\"0.10\", expect_size=\"44120064\"] \n  25 -> 28 [size =\"44120064\"]\n  25 -> 33 [size =\"44120064\"]\n  25 -> 38 [size =\"44120064\"]\n  26 [size=\"85770240\", alpha=\"0.14\", expect_size=\"42885120\"] \n  26 -> 30 [size =\"42885120\"]\n  26 -> 34 [size =\"42885120\"]\n  26 -> 40 [size =\"42885120\"]\n  27 [size=\"91211776\", alpha=\"0.01\", expect_size=\"45605888\"] \n  27 -> 28 [size =\"45605888\"]\n  27 -> 30 [size =\"45605888\"]\n  28 [size=\"79974400\", alpha=\"0.03\", expect_size=\"39987200\"] \n  29 [size=\"94236672\", alpha=\"0.07\", expect_size=\"47118336\"] \n  30 [size=\"55240704\", alpha=\"0.01\", expect_size=\"27620352\"] \n  31 [size=\"22777856\", alpha=\"0.17\", expect_size=\"11388928\"] \n  32 [size=\"58056704\", alpha=\"0.09\", expect_size=\"29028352\"] \n  33 [size=\"51392512\", alpha=\"0.01\", expect_size=\"25696256\"] \n  34 [size=\"11161600\", alpha=\"0.15\", expect_size=\"5580800\"] \n  35 [size=\"37177344\", alpha=\"0.12\", expect_size=\"18588672\"] \n  36 [size=\"85774336\", alpha=\"0.06\", expect_size=\"42887168\"] \n  37 [size=\"59119616\", alpha=\"0.08\", expect_size=\"29559808\"] \n  38 [size=\"65525760\", alpha=\"0.03\", expect_size=\"32762880\"] \n  39 [size=\"79474688\", alpha=\"0.09\", expect_size=\"39737344\"] \n  40 [size=\"16531456\", alpha=\"0.10\", expect_size=\"8265728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168287573\", alpha=\"0.16\", expect_size=\"50486272\"] \n  1 -> 6 [size =\"50486272\"]\n  2 [size=\"73000960\", alpha=\"0.14\", expect_size=\"21900288\"] \n  2 -> 5 [size =\"21900288\"]\n  3 [size=\"58477227\", alpha=\"0.19\", expect_size=\"17543168\"] \n  4 [size=\"126764373\", alpha=\"0.17\", expect_size=\"38029312\"] \n  5 [size=\"18148693\", alpha=\"0.09\", expect_size=\"5444608\"] \n  5 -> 7 [size =\"5444608\"]\n  5 -> 8 [size =\"5444608\"]\n  6 [size=\"62446933\", alpha=\"0.15\", expect_size=\"18734080\"] \n  6 -> 9 [size =\"18734080\"]\n  7 [size=\"162652160\", alpha=\"0.00\", expect_size=\"48795648\"] \n  7 -> 10 [size =\"48795648\"]\n  7 -> 12 [size =\"48795648\"]\n  8 [size=\"107509760\", alpha=\"0.06\", expect_size=\"32252928\"] \n  9 [size=\"164638720\", alpha=\"0.18\", expect_size=\"49391616\"] \n  9 -> 10 [size =\"49391616\"]\n  9 -> 11 [size =\"49391616\"]\n  9 -> 12 [size =\"49391616\"]\n  10 [size=\"151476907\", alpha=\"0.07\", expect_size=\"45443072\"] \n  10 -> 13 [size =\"45443072\"]\n  10 -> 14 [size =\"45443072\"]\n  11 [size=\"70458027\", alpha=\"0.18\", expect_size=\"21137408\"] \n  12 [size=\"39877973\", alpha=\"0.16\", expect_size=\"11963392\"] \n  13 [size=\"150674773\", alpha=\"0.11\", expect_size=\"45202432\"] \n  14 [size=\"141755733\", alpha=\"0.15\", expect_size=\"42526720\"] \n  14 -> 15 [size =\"42526720\"]\n  14 -> 16 [size =\"42526720\"]\n  14 -> 17 [size =\"42526720\"]\n  15 [size=\"114278400\", alpha=\"0.18\", expect_size=\"34283520\"] \n  15 -> 18 [size =\"34283520\"]\n  15 -> 19 [size =\"34283520\"]\n  15 -> 20 [size =\"34283520\"]\n  16 [size=\"24668160\", alpha=\"0.17\", expect_size=\"7400448\"] \n  17 [size=\"144476160\", alpha=\"0.13\", expect_size=\"43342848\"] \n  18 [size=\"145544533\", alpha=\"0.19\", expect_size=\"43663360\"] \n  18 -> 21 [size =\"43663360\"]\n  18 -> 22 [size =\"43663360\"]\n  19 [size=\"31825920\", alpha=\"0.01\", expect_size=\"9547776\"] \n  20 [size=\"169854293\", alpha=\"0.10\", expect_size=\"50956288\"] \n  21 [size=\"65249280\", alpha=\"0.18\", expect_size=\"19574784\"] \n  22 [size=\"48677547\", alpha=\"0.13\", expect_size=\"14603264\"] \n  22 -> 23 [size =\"14603264\"]\n  22 -> 24 [size =\"14603264\"]\n  23 [size=\"17885867\", alpha=\"0.13\", expect_size=\"5365760\"] \n  23 -> 27 [size =\"5365760\"]\n  24 [size=\"102079147\", alpha=\"0.07\", expect_size=\"30623744\"] \n  24 -> 25 [size =\"30623744\"]\n  24 -> 26 [size =\"30623744\"]\n  25 [size=\"65344853\", alpha=\"0.02\", expect_size=\"19603456\"] \n  25 -> 28 [size =\"19603456\"]\n  26 [size=\"47991467\", alpha=\"0.02\", expect_size=\"14397440\"] \n  26 -> 30 [size =\"14397440\"]\n  27 [size=\"26518187\", alpha=\"0.00\", expect_size=\"7955456\"] \n  27 -> 29 [size =\"7955456\"]\n  28 [size=\"125067947\", alpha=\"0.10\", expect_size=\"37520384\"] \n  29 [size=\"117220693\", alpha=\"0.19\", expect_size=\"35166208\"] \n  29 -> 31 [size =\"35166208\"]\n  29 -> 32 [size =\"35166208\"]\n  29 -> 33 [size =\"35166208\"]\n  29 -> 34 [size =\"35166208\"]\n  30 [size=\"122385067\", alpha=\"0.05\", expect_size=\"36715520\"] \n  30 -> 33 [size =\"36715520\"]\n  31 [size=\"40185173\", alpha=\"0.17\", expect_size=\"12055552\"] \n  32 [size=\"21432320\", alpha=\"0.12\", expect_size=\"6429696\"] \n  32 -> 36 [size =\"6429696\"]\n  33 [size=\"121658027\", alpha=\"0.04\", expect_size=\"36497408\"] \n  33 -> 36 [size =\"36497408\"]\n  34 [size=\"67283627\", alpha=\"0.13\", expect_size=\"20185088\"] \n  34 -> 35 [size =\"20185088\"]\n  35 [size=\"124893867\", alpha=\"0.13\", expect_size=\"37468160\"] \n  35 -> 38 [size =\"37468160\"]\n  36 [size=\"137871360\", alpha=\"0.14\", expect_size=\"41361408\"] \n  36 -> 37 [size =\"41361408\"]\n  37 [size=\"151190187\", alpha=\"0.12\", expect_size=\"45357056\"] \n  37 -> 39 [size =\"45357056\"]\n  37 -> 40 [size =\"45357056\"]\n  38 [size=\"152739840\", alpha=\"0.05\", expect_size=\"45821952\"] \n  39 [size=\"75274240\", alpha=\"0.01\", expect_size=\"22582272\"] \n  40 [size=\"65952427\", alpha=\"0.16\", expect_size=\"19785728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131008000\", alpha=\"0.01\", expect_size=\"52403200\"] \n  1 -> 2 [size =\"52403200\"]\n  2 [size=\"91097600\", alpha=\"0.10\", expect_size=\"36439040\"] \n  2 -> 3 [size =\"36439040\"]\n  3 [size=\"76321280\", alpha=\"0.07\", expect_size=\"30528512\"] \n  3 -> 4 [size =\"30528512\"]\n  4 [size=\"104094720\", alpha=\"0.03\", expect_size=\"41637888\"] \n  4 -> 5 [size =\"41637888\"]\n  5 [size=\"88081920\", alpha=\"0.07\", expect_size=\"35232768\"] \n  5 -> 6 [size =\"35232768\"]\n  6 [size=\"105541120\", alpha=\"0.12\", expect_size=\"42216448\"] \n  6 -> 7 [size =\"42216448\"]\n  7 [size=\"33320960\", alpha=\"0.03\", expect_size=\"13328384\"] \n  7 -> 8 [size =\"13328384\"]\n  8 [size=\"93322240\", alpha=\"0.16\", expect_size=\"37328896\"] \n  8 -> 9 [size =\"37328896\"]\n  9 [size=\"63667200\", alpha=\"0.13\", expect_size=\"25466880\"] \n  9 -> 10 [size =\"25466880\"]\n  10 [size=\"44400640\", alpha=\"0.16\", expect_size=\"17760256\"] \n  10 -> 11 [size =\"17760256\"]\n  11 [size=\"21660160\", alpha=\"0.12\", expect_size=\"8664064\"] \n  11 -> 12 [size =\"8664064\"]\n  12 [size=\"26708480\", alpha=\"0.18\", expect_size=\"10683392\"] \n  12 -> 13 [size =\"10683392\"]\n  13 [size=\"86325760\", alpha=\"0.03\", expect_size=\"34530304\"] \n  13 -> 14 [size =\"34530304\"]\n  14 [size=\"125580800\", alpha=\"0.03\", expect_size=\"50232320\"] \n  14 -> 15 [size =\"50232320\"]\n  15 [size=\"28108800\", alpha=\"0.15\", expect_size=\"11243520\"] \n  15 -> 16 [size =\"11243520\"]\n  16 [size=\"69327360\", alpha=\"0.11\", expect_size=\"27730944\"] \n  16 -> 17 [size =\"27730944\"]\n  17 [size=\"20057600\", alpha=\"0.13\", expect_size=\"8023040\"] \n  17 -> 18 [size =\"8023040\"]\n  18 [size=\"34923520\", alpha=\"0.12\", expect_size=\"13969408\"] \n  18 -> 19 [size =\"13969408\"]\n  19 [size=\"14225920\", alpha=\"0.07\", expect_size=\"5690368\"] \n  19 -> 20 [size =\"5690368\"]\n  20 [size=\"88896000\", alpha=\"0.13\", expect_size=\"35558400\"] \n  20 -> 21 [size =\"35558400\"]\n  21 [size=\"65064960\", alpha=\"0.20\", expect_size=\"26025984\"] \n  21 -> 22 [size =\"26025984\"]\n  22 [size=\"15306240\", alpha=\"0.19\", expect_size=\"6122496\"] \n  22 -> 23 [size =\"6122496\"]\n  23 [size=\"123171840\", alpha=\"0.10\", expect_size=\"49268736\"] \n  23 -> 24 [size =\"49268736\"]\n  24 [size=\"25018880\", alpha=\"0.15\", expect_size=\"10007552\"] \n  24 -> 25 [size =\"10007552\"]\n  25 [size=\"42519040\", alpha=\"0.14\", expect_size=\"17007616\"] \n  25 -> 26 [size =\"17007616\"]\n  26 [size=\"14000640\", alpha=\"0.08\", expect_size=\"5600256\"] \n  26 -> 27 [size =\"5600256\"]\n  27 [size=\"78837760\", alpha=\"0.06\", expect_size=\"31535104\"] \n  27 -> 28 [size =\"31535104\"]\n  28 [size=\"36359680\", alpha=\"0.17\", expect_size=\"14543872\"] \n  28 -> 29 [size =\"14543872\"]\n  29 [size=\"106552320\", alpha=\"0.17\", expect_size=\"42620928\"] \n  29 -> 30 [size =\"42620928\"]\n  30 [size=\"29025280\", alpha=\"0.02\", expect_size=\"11610112\"] \n  30 -> 31 [size =\"11610112\"]\n  31 [size=\"107330560\", alpha=\"0.08\", expect_size=\"42932224\"] \n  31 -> 32 [size =\"42932224\"]\n  32 [size=\"105474560\", alpha=\"0.17\", expect_size=\"42189824\"] \n  32 -> 33 [size =\"42189824\"]\n  33 [size=\"101450240\", alpha=\"0.18\", expect_size=\"40580096\"] \n  33 -> 34 [size =\"40580096\"]\n  34 [size=\"40504320\", alpha=\"0.19\", expect_size=\"16201728\"] \n  34 -> 35 [size =\"16201728\"]\n  35 [size=\"13626880\", alpha=\"0.01\", expect_size=\"5450752\"] \n  35 -> 36 [size =\"5450752\"]\n  36 [size=\"95792640\", alpha=\"0.14\", expect_size=\"38317056\"] \n  36 -> 37 [size =\"38317056\"]\n  37 [size=\"25541120\", alpha=\"0.07\", expect_size=\"10216448\"] \n  37 -> 38 [size =\"10216448\"]\n  38 [size=\"59018240\", alpha=\"0.05\", expect_size=\"23607296\"] \n  38 -> 39 [size =\"23607296\"]\n  39 [size=\"40509440\", alpha=\"0.02\", expect_size=\"16203776\"] \n  39 -> 40 [size =\"16203776\"]\n  40 [size=\"20577280\", alpha=\"0.12\", expect_size=\"8230912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152388267\", alpha=\"0.11\", expect_size=\"45716480\"] \n  1 -> 3 [size =\"45716480\"]\n  1 -> 4 [size =\"45716480\"]\n  2 [size=\"172864853\", alpha=\"0.11\", expect_size=\"51859456\"] \n  2 -> 4 [size =\"51859456\"]\n  3 [size=\"83626667\", alpha=\"0.03\", expect_size=\"25088000\"] \n  3 -> 5 [size =\"25088000\"]\n  3 -> 7 [size =\"25088000\"]\n  4 [size=\"41949867\", alpha=\"0.10\", expect_size=\"12584960\"] \n  4 -> 6 [size =\"12584960\"]\n  4 -> 7 [size =\"12584960\"]\n  5 [size=\"123641173\", alpha=\"0.15\", expect_size=\"37092352\"] \n  5 -> 8 [size =\"37092352\"]\n  5 -> 9 [size =\"37092352\"]\n  6 [size=\"42086400\", alpha=\"0.17\", expect_size=\"12625920\"] \n  7 [size=\"117346987\", alpha=\"0.17\", expect_size=\"35204096\"] \n  7 -> 8 [size =\"35204096\"]\n  8 [size=\"30382080\", alpha=\"0.19\", expect_size=\"9114624\"] \n  8 -> 10 [size =\"9114624\"]\n  8 -> 11 [size =\"9114624\"]\n  9 [size=\"130194773\", alpha=\"0.18\", expect_size=\"39058432\"] \n  9 -> 10 [size =\"39058432\"]\n  10 [size=\"76718080\", alpha=\"0.14\", expect_size=\"23015424\"] \n  10 -> 12 [size =\"23015424\"]\n  10 -> 13 [size =\"23015424\"]\n  11 [size=\"42253653\", alpha=\"0.16\", expect_size=\"12676096\"] \n  11 -> 12 [size =\"12676096\"]\n  11 -> 13 [size =\"12676096\"]\n  12 [size=\"128890880\", alpha=\"0.16\", expect_size=\"38667264\"] \n  12 -> 14 [size =\"38667264\"]\n  12 -> 15 [size =\"38667264\"]\n  13 [size=\"55787520\", alpha=\"0.18\", expect_size=\"16736256\"] \n  13 -> 14 [size =\"16736256\"]\n  14 [size=\"77820587\", alpha=\"0.03\", expect_size=\"23346176\"] \n  14 -> 16 [size =\"23346176\"]\n  15 [size=\"153893547\", alpha=\"0.08\", expect_size=\"46168064\"] \n  15 -> 16 [size =\"46168064\"]\n  15 -> 17 [size =\"46168064\"]\n  16 [size=\"117090987\", alpha=\"0.10\", expect_size=\"35127296\"] \n  16 -> 18 [size =\"35127296\"]\n  16 -> 19 [size =\"35127296\"]\n  17 [size=\"90934613\", alpha=\"0.12\", expect_size=\"27280384\"] \n  17 -> 18 [size =\"27280384\"]\n  17 -> 19 [size =\"27280384\"]\n  18 [size=\"65116160\", alpha=\"0.16\", expect_size=\"19534848\"] \n  18 -> 20 [size =\"19534848\"]\n  19 [size=\"54254933\", alpha=\"0.12\", expect_size=\"16276480\"] \n  19 -> 21 [size =\"16276480\"]\n  20 [size=\"37707093\", alpha=\"0.06\", expect_size=\"11312128\"] \n  20 -> 22 [size =\"11312128\"]\n  21 [size=\"145978027\", alpha=\"0.17\", expect_size=\"43793408\"] \n  21 -> 23 [size =\"43793408\"]\n  21 -> 24 [size =\"43793408\"]\n  22 [size=\"116087467\", alpha=\"0.08\", expect_size=\"34826240\"] \n  22 -> 25 [size =\"34826240\"]\n  22 -> 26 [size =\"34826240\"]\n  23 [size=\"81896107\", alpha=\"0.08\", expect_size=\"24568832\"] \n  23 -> 27 [size =\"24568832\"]\n  24 [size=\"64597333\", alpha=\"0.10\", expect_size=\"19379200\"] \n  24 -> 25 [size =\"19379200\"]\n  24 -> 26 [size =\"19379200\"]\n  24 -> 27 [size =\"19379200\"]\n  25 [size=\"91238400\", alpha=\"0.06\", expect_size=\"27371520\"] \n  25 -> 28 [size =\"27371520\"]\n  26 [size=\"155897173\", alpha=\"0.06\", expect_size=\"46769152\"] \n  26 -> 29 [size =\"46769152\"]\n  26 -> 30 [size =\"46769152\"]\n  27 [size=\"77038933\", alpha=\"0.18\", expect_size=\"23111680\"] \n  27 -> 29 [size =\"23111680\"]\n  28 [size=\"174025387\", alpha=\"0.11\", expect_size=\"52207616\"] \n  29 [size=\"145257813\", alpha=\"0.19\", expect_size=\"43577344\"] \n  29 -> 31 [size =\"43577344\"]\n  29 -> 32 [size =\"43577344\"]\n  29 -> 33 [size =\"43577344\"]\n  30 [size=\"78906027\", alpha=\"0.14\", expect_size=\"23671808\"] \n  30 -> 31 [size =\"23671808\"]\n  30 -> 32 [size =\"23671808\"]\n  31 [size=\"123972267\", alpha=\"0.13\", expect_size=\"37191680\"] \n  31 -> 34 [size =\"37191680\"]\n  31 -> 35 [size =\"37191680\"]\n  31 -> 36 [size =\"37191680\"]\n  32 [size=\"100799147\", alpha=\"0.06\", expect_size=\"30239744\"] \n  32 -> 34 [size =\"30239744\"]\n  32 -> 35 [size =\"30239744\"]\n  33 [size=\"164778667\", alpha=\"0.03\", expect_size=\"49433600\"] \n  34 [size=\"67488427\", alpha=\"0.09\", expect_size=\"20246528\"] \n  34 -> 38 [size =\"20246528\"]\n  34 -> 39 [size =\"20246528\"]\n  35 [size=\"147971413\", alpha=\"0.11\", expect_size=\"44391424\"] \n  35 -> 37 [size =\"44391424\"]\n  35 -> 39 [size =\"44391424\"]\n  36 [size=\"40540160\", alpha=\"0.07\", expect_size=\"12162048\"] \n  36 -> 37 [size =\"12162048\"]\n  36 -> 38 [size =\"12162048\"]\n  36 -> 39 [size =\"12162048\"]\n  37 [size=\"84381013\", alpha=\"0.11\", expect_size=\"25314304\"] \n  37 -> 40 [size =\"25314304\"]\n  38 [size=\"64785067\", alpha=\"0.02\", expect_size=\"19435520\"] \n  39 [size=\"151947947\", alpha=\"0.17\", expect_size=\"45584384\"] \n  39 -> 40 [size =\"45584384\"]\n  40 [size=\"144018773\", alpha=\"0.15\", expect_size=\"43205632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72318976\", alpha=\"0.10\", expect_size=\"36159488\"] \n  1 -> 3 [size =\"36159488\"]\n  2 [size=\"94253056\", alpha=\"0.12\", expect_size=\"47126528\"] \n  2 -> 4 [size =\"47126528\"]\n  2 -> 5 [size =\"47126528\"]\n  3 [size=\"53553152\", alpha=\"0.12\", expect_size=\"26776576\"] \n  3 -> 6 [size =\"26776576\"]\n  4 [size=\"68720640\", alpha=\"0.04\", expect_size=\"34360320\"] \n  4 -> 7 [size =\"34360320\"]\n  4 -> 8 [size =\"34360320\"]\n  5 [size=\"75646976\", alpha=\"0.10\", expect_size=\"37823488\"] \n  5 -> 6 [size =\"37823488\"]\n  6 [size=\"75937792\", alpha=\"0.09\", expect_size=\"37968896\"] \n  6 -> 9 [size =\"37968896\"]\n  7 [size=\"96004096\", alpha=\"0.09\", expect_size=\"48002048\"] \n  7 -> 9 [size =\"48002048\"]\n  7 -> 10 [size =\"48002048\"]\n  8 [size=\"70510592\", alpha=\"0.13\", expect_size=\"35255296\"] \n  9 [size=\"48926720\", alpha=\"0.01\", expect_size=\"24463360\"] \n  9 -> 11 [size =\"24463360\"]\n  9 -> 12 [size =\"24463360\"]\n  9 -> 13 [size =\"24463360\"]\n  10 [size=\"74846208\", alpha=\"0.19\", expect_size=\"37423104\"] \n  10 -> 12 [size =\"37423104\"]\n  11 [size=\"48680960\", alpha=\"0.17\", expect_size=\"24340480\"] \n  11 -> 14 [size =\"24340480\"]\n  11 -> 16 [size =\"24340480\"]\n  12 [size=\"97757184\", alpha=\"0.10\", expect_size=\"48878592\"] \n  12 -> 15 [size =\"48878592\"]\n  13 [size=\"59598848\", alpha=\"0.04\", expect_size=\"29799424\"] \n  13 -> 14 [size =\"29799424\"]\n  13 -> 15 [size =\"29799424\"]\n  14 [size=\"20357120\", alpha=\"0.06\", expect_size=\"10178560\"] \n  14 -> 18 [size =\"10178560\"]\n  14 -> 19 [size =\"10178560\"]\n  15 [size=\"38438912\", alpha=\"0.02\", expect_size=\"19219456\"] \n  15 -> 17 [size =\"19219456\"]\n  15 -> 18 [size =\"19219456\"]\n  15 -> 19 [size =\"19219456\"]\n  16 [size=\"85563392\", alpha=\"0.15\", expect_size=\"42781696\"] \n  17 [size=\"34193408\", alpha=\"0.05\", expect_size=\"17096704\"] \n  17 -> 21 [size =\"17096704\"]\n  17 -> 22 [size =\"17096704\"]\n  18 [size=\"75153408\", alpha=\"0.06\", expect_size=\"37576704\"] \n  18 -> 20 [size =\"37576704\"]\n  19 [size=\"40708096\", alpha=\"0.10\", expect_size=\"20354048\"] \n  19 -> 20 [size =\"20354048\"]\n  19 -> 22 [size =\"20354048\"]\n  20 [size=\"43388928\", alpha=\"0.09\", expect_size=\"21694464\"] \n  21 [size=\"40536064\", alpha=\"0.02\", expect_size=\"20268032\"] \n  21 -> 24 [size =\"20268032\"]\n  22 [size=\"28174336\", alpha=\"0.12\", expect_size=\"14087168\"] \n  22 -> 23 [size =\"14087168\"]\n  22 -> 24 [size =\"14087168\"]\n  23 [size=\"76980224\", alpha=\"0.12\", expect_size=\"38490112\"] \n  24 [size=\"95705088\", alpha=\"0.03\", expect_size=\"47852544\"] \n  24 -> 25 [size =\"47852544\"]\n  24 -> 26 [size =\"47852544\"]\n  24 -> 27 [size =\"47852544\"]\n  25 [size=\"29224960\", alpha=\"0.09\", expect_size=\"14612480\"] \n  25 -> 28 [size =\"14612480\"]\n  26 [size=\"40953856\", alpha=\"0.08\", expect_size=\"20476928\"] \n  26 -> 29 [size =\"20476928\"]\n  27 [size=\"18831360\", alpha=\"0.06\", expect_size=\"9415680\"] \n  27 -> 29 [size =\"9415680\"]\n  28 [size=\"43288576\", alpha=\"0.16\", expect_size=\"21644288\"] \n  28 -> 30 [size =\"21644288\"]\n  28 -> 31 [size =\"21644288\"]\n  29 [size=\"71280640\", alpha=\"0.15\", expect_size=\"35640320\"] \n  30 [size=\"23681024\", alpha=\"0.07\", expect_size=\"11840512\"] \n  30 -> 32 [size =\"11840512\"]\n  30 -> 33 [size =\"11840512\"]\n  31 [size=\"67805184\", alpha=\"0.07\", expect_size=\"33902592\"] \n  31 -> 32 [size =\"33902592\"]\n  31 -> 33 [size =\"33902592\"]\n  32 [size=\"76744704\", alpha=\"0.06\", expect_size=\"38372352\"] \n  32 -> 34 [size =\"38372352\"]\n  33 [size=\"39895040\", alpha=\"0.15\", expect_size=\"19947520\"] \n  33 -> 34 [size =\"19947520\"]\n  33 -> 35 [size =\"19947520\"]\n  33 -> 36 [size =\"19947520\"]\n  34 [size=\"94697472\", alpha=\"0.06\", expect_size=\"47348736\"] \n  34 -> 37 [size =\"47348736\"]\n  34 -> 38 [size =\"47348736\"]\n  35 [size=\"16271360\", alpha=\"0.03\", expect_size=\"8135680\"] \n  35 -> 38 [size =\"8135680\"]\n  36 [size=\"58523648\", alpha=\"0.16\", expect_size=\"29261824\"] \n  36 -> 39 [size =\"29261824\"]\n  37 [size=\"98160640\", alpha=\"0.14\", expect_size=\"49080320\"] \n  37 -> 40 [size =\"49080320\"]\n  38 [size=\"31963136\", alpha=\"0.06\", expect_size=\"15981568\"] \n  39 [size=\"14327808\", alpha=\"0.04\", expect_size=\"7163904\"] \n  39 -> 40 [size =\"7163904\"]\n  40 [size=\"83695616\", alpha=\"0.09\", expect_size=\"41847808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105755307\", alpha=\"0.04\", expect_size=\"31726592\"] \n  1 -> 23 [size =\"31726592\"]\n  1 -> 25 [size =\"31726592\"]\n  1 -> 29 [size =\"31726592\"]\n  1 -> 30 [size =\"31726592\"]\n  1 -> 37 [size =\"31726592\"]\n  1 -> 37 [size =\"31726592\"]\n  2 [size=\"162078720\", alpha=\"0.03\", expect_size=\"48623616\"] \n  2 -> 24 [size =\"48623616\"]\n  2 -> 25 [size =\"48623616\"]\n  2 -> 30 [size =\"48623616\"]\n  2 -> 31 [size =\"48623616\"]\n  2 -> 33 [size =\"48623616\"]\n  2 -> 35 [size =\"48623616\"]\n  2 -> 37 [size =\"48623616\"]\n  2 -> 38 [size =\"48623616\"]\n  3 [size=\"145022293\", alpha=\"0.04\", expect_size=\"43506688\"] \n  3 -> 24 [size =\"43506688\"]\n  3 -> 25 [size =\"43506688\"]\n  3 -> 27 [size =\"43506688\"]\n  3 -> 36 [size =\"43506688\"]\n  3 -> 40 [size =\"43506688\"]\n  4 [size=\"51404800\", alpha=\"0.18\", expect_size=\"15421440\"] \n  4 -> 24 [size =\"15421440\"]\n  4 -> 25 [size =\"15421440\"]\n  4 -> 28 [size =\"15421440\"]\n  4 -> 30 [size =\"15421440\"]\n  4 -> 31 [size =\"15421440\"]\n  4 -> 33 [size =\"15421440\"]\n  4 -> 40 [size =\"15421440\"]\n  5 [size=\"162573653\", alpha=\"0.10\", expect_size=\"48772096\"] \n  5 -> 23 [size =\"48772096\"]\n  5 -> 24 [size =\"48772096\"]\n  5 -> 26 [size =\"48772096\"]\n  5 -> 31 [size =\"48772096\"]\n  5 -> 32 [size =\"48772096\"]\n  5 -> 39 [size =\"48772096\"]\n  6 [size=\"162976427\", alpha=\"0.04\", expect_size=\"48892928\"] \n  6 -> 28 [size =\"48892928\"]\n  6 -> 31 [size =\"48892928\"]\n  6 -> 32 [size =\"48892928\"]\n  6 -> 39 [size =\"48892928\"]\n  7 [size=\"141632853\", alpha=\"0.17\", expect_size=\"42489856\"] \n  7 -> 25 [size =\"42489856\"]\n  7 -> 27 [size =\"42489856\"]\n  7 -> 32 [size =\"42489856\"]\n  7 -> 34 [size =\"42489856\"]\n  8 [size=\"162048000\", alpha=\"0.02\", expect_size=\"48614400\"] \n  8 -> 24 [size =\"48614400\"]\n  8 -> 25 [size =\"48614400\"]\n  8 -> 26 [size =\"48614400\"]\n  8 -> 27 [size =\"48614400\"]\n  8 -> 31 [size =\"48614400\"]\n  8 -> 32 [size =\"48614400\"]\n  8 -> 40 [size =\"48614400\"]\n  9 [size=\"97901227\", alpha=\"0.18\", expect_size=\"29370368\"] \n  9 -> 25 [size =\"29370368\"]\n  9 -> 29 [size =\"29370368\"]\n  9 -> 31 [size =\"29370368\"]\n  9 -> 32 [size =\"29370368\"]\n  9 -> 34 [size =\"29370368\"]\n  9 -> 35 [size =\"29370368\"]\n  9 -> 37 [size =\"29370368\"]\n  10 [size=\"88272213\", alpha=\"0.02\", expect_size=\"26481664\"] \n  10 -> 23 [size =\"26481664\"]\n  10 -> 24 [size =\"26481664\"]\n  10 -> 26 [size =\"26481664\"]\n  10 -> 29 [size =\"26481664\"]\n  10 -> 32 [size =\"26481664\"]\n  10 -> 37 [size =\"26481664\"]\n  10 -> 40 [size =\"26481664\"]\n  11 [size=\"109909333\", alpha=\"0.09\", expect_size=\"32972800\"] \n  11 -> 25 [size =\"32972800\"]\n  11 -> 26 [size =\"32972800\"]\n  11 -> 27 [size =\"32972800\"]\n  11 -> 32 [size =\"32972800\"]\n  11 -> 32 [size =\"32972800\"]\n  11 -> 33 [size =\"32972800\"]\n  11 -> 34 [size =\"32972800\"]\n  11 -> 40 [size =\"32972800\"]\n  12 [size=\"144397653\", alpha=\"0.18\", expect_size=\"43319296\"] \n  12 -> 27 [size =\"43319296\"]\n  12 -> 31 [size =\"43319296\"]\n  12 -> 32 [size =\"43319296\"]\n  13 [size=\"165307733\", alpha=\"0.07\", expect_size=\"49592320\"] \n  13 -> 23 [size =\"49592320\"]\n  13 -> 27 [size =\"49592320\"]\n  13 -> 30 [size =\"49592320\"]\n  13 -> 31 [size =\"49592320\"]\n  13 -> 37 [size =\"49592320\"]\n  13 -> 40 [size =\"49592320\"]\n  14 [size=\"36263253\", alpha=\"0.19\", expect_size=\"10878976\"] \n  14 -> 23 [size =\"10878976\"]\n  14 -> 24 [size =\"10878976\"]\n  14 -> 27 [size =\"10878976\"]\n  14 -> 34 [size =\"10878976\"]\n  14 -> 38 [size =\"10878976\"]\n  15 [size=\"174028800\", alpha=\"0.12\", expect_size=\"52208640\"] \n  15 -> 23 [size =\"52208640\"]\n  15 -> 27 [size =\"52208640\"]\n  15 -> 31 [size =\"52208640\"]\n  15 -> 32 [size =\"52208640\"]\n  15 -> 34 [size =\"52208640\"]\n  16 [size=\"98256213\", alpha=\"0.10\", expect_size=\"29476864\"] \n  16 -> 24 [size =\"29476864\"]\n  16 -> 25 [size =\"29476864\"]\n  16 -> 26 [size =\"29476864\"]\n  16 -> 27 [size =\"29476864\"]\n  16 -> 30 [size =\"29476864\"]\n  17 [size=\"131553280\", alpha=\"0.14\", expect_size=\"39465984\"] \n  17 -> 23 [size =\"39465984\"]\n  17 -> 26 [size =\"39465984\"]\n  17 -> 27 [size =\"39465984\"]\n  17 -> 28 [size =\"39465984\"]\n  17 -> 31 [size =\"39465984\"]\n  17 -> 33 [size =\"39465984\"]\n  17 -> 40 [size =\"39465984\"]\n  18 [size=\"110035627\", alpha=\"0.05\", expect_size=\"33010688\"] \n  18 -> 26 [size =\"33010688\"]\n  18 -> 29 [size =\"33010688\"]\n  18 -> 37 [size =\"33010688\"]\n  18 -> 38 [size =\"33010688\"]\n  18 -> 40 [size =\"33010688\"]\n  19 [size=\"122289493\", alpha=\"0.07\", expect_size=\"36686848\"] \n  19 -> 23 [size =\"36686848\"]\n  19 -> 24 [size =\"36686848\"]\n  19 -> 29 [size =\"36686848\"]\n  19 -> 30 [size =\"36686848\"]\n  19 -> 31 [size =\"36686848\"]\n  19 -> 32 [size =\"36686848\"]\n  19 -> 33 [size =\"36686848\"]\n  19 -> 37 [size =\"36686848\"]\n  20 [size=\"103263573\", alpha=\"0.11\", expect_size=\"30979072\"] \n  20 -> 23 [size =\"30979072\"]\n  20 -> 24 [size =\"30979072\"]\n  20 -> 28 [size =\"30979072\"]\n  20 -> 33 [size =\"30979072\"]\n  20 -> 38 [size =\"30979072\"]\n  20 -> 40 [size =\"30979072\"]\n  21 [size=\"119063893\", alpha=\"0.07\", expect_size=\"35719168\"] \n  21 -> 24 [size =\"35719168\"]\n  21 -> 25 [size =\"35719168\"]\n  21 -> 26 [size =\"35719168\"]\n  21 -> 32 [size =\"35719168\"]\n  21 -> 33 [size =\"35719168\"]\n  21 -> 37 [size =\"35719168\"]\n  21 -> 40 [size =\"35719168\"]\n  22 [size=\"33372160\", alpha=\"0.02\", expect_size=\"10011648\"] \n  22 -> 25 [size =\"10011648\"]\n  22 -> 25 [size =\"10011648\"]\n  22 -> 28 [size =\"10011648\"]\n  22 -> 33 [size =\"10011648\"]\n  22 -> 33 [size =\"10011648\"]\n  22 -> 37 [size =\"10011648\"]\n  23 [size=\"19114667\", alpha=\"0.12\", expect_size=\"5734400\"] \n  24 [size=\"74577920\", alpha=\"0.07\", expect_size=\"22373376\"] \n  25 [size=\"64034133\", alpha=\"0.00\", expect_size=\"19210240\"] \n  26 [size=\"155013120\", alpha=\"0.12\", expect_size=\"46503936\"] \n  27 [size=\"74618880\", alpha=\"0.20\", expect_size=\"22385664\"] \n  28 [size=\"27009707\", alpha=\"0.06\", expect_size=\"8102912\"] \n  29 [size=\"65597440\", alpha=\"0.02\", expect_size=\"19679232\"] \n  30 [size=\"117934080\", alpha=\"0.07\", expect_size=\"35380224\"] \n  31 [size=\"50128213\", alpha=\"0.04\", expect_size=\"15038464\"] \n  32 [size=\"107755520\", alpha=\"0.17\", expect_size=\"32326656\"] \n  33 [size=\"120842240\", alpha=\"0.09\", expect_size=\"36252672\"] \n  34 [size=\"59648000\", alpha=\"0.04\", expect_size=\"17894400\"] \n  35 [size=\"115387733\", alpha=\"0.18\", expect_size=\"34616320\"] \n  36 [size=\"118589440\", alpha=\"0.02\", expect_size=\"35576832\"] \n  37 [size=\"57470293\", alpha=\"0.01\", expect_size=\"17241088\"] \n  38 [size=\"56186880\", alpha=\"0.12\", expect_size=\"16856064\"] \n  39 [size=\"102027947\", alpha=\"0.16\", expect_size=\"30608384\"] \n  40 [size=\"118128640\", alpha=\"0.11\", expect_size=\"35438592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33501867\", alpha=\"0.17\", expect_size=\"10050560\"] \n  1 -> 2 [size =\"10050560\"]\n  2 [size=\"122473813\", alpha=\"0.02\", expect_size=\"36742144\"] \n  2 -> 3 [size =\"36742144\"]\n  3 [size=\"103645867\", alpha=\"0.13\", expect_size=\"31093760\"] \n  3 -> 4 [size =\"31093760\"]\n  4 [size=\"54528000\", alpha=\"0.14\", expect_size=\"16358400\"] \n  4 -> 5 [size =\"16358400\"]\n  5 [size=\"143854933\", alpha=\"0.15\", expect_size=\"43156480\"] \n  5 -> 6 [size =\"43156480\"]\n  6 [size=\"148985173\", alpha=\"0.15\", expect_size=\"44695552\"] \n  6 -> 7 [size =\"44695552\"]\n  7 [size=\"99065173\", alpha=\"0.09\", expect_size=\"29719552\"] \n  7 -> 8 [size =\"29719552\"]\n  8 [size=\"160191147\", alpha=\"0.06\", expect_size=\"48057344\"] \n  8 -> 9 [size =\"48057344\"]\n  9 [size=\"144500053\", alpha=\"0.06\", expect_size=\"43350016\"] \n  9 -> 10 [size =\"43350016\"]\n  10 [size=\"138199040\", alpha=\"0.10\", expect_size=\"41459712\"] \n  10 -> 11 [size =\"41459712\"]\n  11 [size=\"116807680\", alpha=\"0.19\", expect_size=\"35042304\"] \n  11 -> 12 [size =\"35042304\"]\n  12 [size=\"95238827\", alpha=\"0.11\", expect_size=\"28571648\"] \n  12 -> 13 [size =\"28571648\"]\n  13 [size=\"111837867\", alpha=\"0.05\", expect_size=\"33551360\"] \n  13 -> 14 [size =\"33551360\"]\n  14 [size=\"59306667\", alpha=\"0.20\", expect_size=\"17792000\"] \n  14 -> 15 [size =\"17792000\"]\n  15 [size=\"168765440\", alpha=\"0.14\", expect_size=\"50629632\"] \n  15 -> 16 [size =\"50629632\"]\n  16 [size=\"128450560\", alpha=\"0.20\", expect_size=\"38535168\"] \n  16 -> 17 [size =\"38535168\"]\n  17 [size=\"88702293\", alpha=\"0.18\", expect_size=\"26610688\"] \n  17 -> 18 [size =\"26610688\"]\n  18 [size=\"159747413\", alpha=\"0.07\", expect_size=\"47924224\"] \n  18 -> 19 [size =\"47924224\"]\n  19 [size=\"47892480\", alpha=\"0.19\", expect_size=\"14367744\"] \n  19 -> 20 [size =\"14367744\"]\n  20 [size=\"92282880\", alpha=\"0.14\", expect_size=\"27684864\"] \n  20 -> 21 [size =\"27684864\"]\n  21 [size=\"174431573\", alpha=\"0.12\", expect_size=\"52329472\"] \n  21 -> 22 [size =\"52329472\"]\n  22 [size=\"167287467\", alpha=\"0.03\", expect_size=\"50186240\"] \n  22 -> 23 [size =\"50186240\"]\n  23 [size=\"94644907\", alpha=\"0.05\", expect_size=\"28393472\"] \n  23 -> 24 [size =\"28393472\"]\n  24 [size=\"134010880\", alpha=\"0.12\", expect_size=\"40203264\"] \n  24 -> 25 [size =\"40203264\"]\n  25 [size=\"133263360\", alpha=\"0.14\", expect_size=\"39979008\"] \n  25 -> 26 [size =\"39979008\"]\n  26 [size=\"85316267\", alpha=\"0.14\", expect_size=\"25594880\"] \n  26 -> 27 [size =\"25594880\"]\n  27 [size=\"83828053\", alpha=\"0.04\", expect_size=\"25148416\"] \n  27 -> 28 [size =\"25148416\"]\n  28 [size=\"70386347\", alpha=\"0.12\", expect_size=\"21115904\"] \n  28 -> 29 [size =\"21115904\"]\n  29 [size=\"128177493\", alpha=\"0.16\", expect_size=\"38453248\"] \n  29 -> 30 [size =\"38453248\"]\n  30 [size=\"118490453\", alpha=\"0.15\", expect_size=\"35547136\"] \n  30 -> 31 [size =\"35547136\"]\n  31 [size=\"74400427\", alpha=\"0.08\", expect_size=\"22320128\"] \n  31 -> 32 [size =\"22320128\"]\n  32 [size=\"169222827\", alpha=\"0.10\", expect_size=\"50766848\"] \n  32 -> 33 [size =\"50766848\"]\n  33 [size=\"36099413\", alpha=\"0.04\", expect_size=\"10829824\"] \n  33 -> 34 [size =\"10829824\"]\n  34 [size=\"75772587\", alpha=\"0.03\", expect_size=\"22731776\"] \n  34 -> 35 [size =\"22731776\"]\n  35 [size=\"168007680\", alpha=\"0.02\", expect_size=\"50402304\"] \n  35 -> 36 [size =\"50402304\"]\n  36 [size=\"124617387\", alpha=\"0.14\", expect_size=\"37385216\"] \n  36 -> 37 [size =\"37385216\"]\n  37 [size=\"77110613\", alpha=\"0.16\", expect_size=\"23133184\"] \n  37 -> 38 [size =\"23133184\"]\n  38 [size=\"107076267\", alpha=\"0.16\", expect_size=\"32122880\"] \n  38 -> 39 [size =\"32122880\"]\n  39 [size=\"42656427\", alpha=\"0.20\", expect_size=\"12796928\"] \n  39 -> 40 [size =\"12796928\"]\n  40 [size=\"168164693\", alpha=\"0.13\", expect_size=\"50449408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56391680\", alpha=\"0.18\", expect_size=\"16917504\"] \n  1 -> 2 [size =\"16917504\"]\n  2 [size=\"115295573\", alpha=\"0.06\", expect_size=\"34588672\"] \n  2 -> 3 [size =\"34588672\"]\n  3 [size=\"123890347\", alpha=\"0.15\", expect_size=\"37167104\"] \n  3 -> 4 [size =\"37167104\"]\n  4 [size=\"90060800\", alpha=\"0.14\", expect_size=\"27018240\"] \n  4 -> 5 [size =\"27018240\"]\n  5 [size=\"137693867\", alpha=\"0.17\", expect_size=\"41308160\"] \n  5 -> 6 [size =\"41308160\"]\n  6 [size=\"57572693\", alpha=\"0.05\", expect_size=\"17271808\"] \n  6 -> 7 [size =\"17271808\"]\n  7 [size=\"129747627\", alpha=\"0.16\", expect_size=\"38924288\"] \n  7 -> 8 [size =\"38924288\"]\n  8 [size=\"42496000\", alpha=\"0.07\", expect_size=\"12748800\"] \n  8 -> 9 [size =\"12748800\"]\n  9 [size=\"138100053\", alpha=\"0.09\", expect_size=\"41430016\"] \n  9 -> 10 [size =\"41430016\"]\n  10 [size=\"132474880\", alpha=\"0.06\", expect_size=\"39742464\"] \n  10 -> 11 [size =\"39742464\"]\n  11 [size=\"113735680\", alpha=\"0.06\", expect_size=\"34120704\"] \n  11 -> 12 [size =\"34120704\"]\n  12 [size=\"100253013\", alpha=\"0.16\", expect_size=\"30075904\"] \n  12 -> 13 [size =\"30075904\"]\n  13 [size=\"149486933\", alpha=\"0.03\", expect_size=\"44846080\"] \n  13 -> 14 [size =\"44846080\"]\n  14 [size=\"111517013\", alpha=\"0.11\", expect_size=\"33455104\"] \n  14 -> 15 [size =\"33455104\"]\n  15 [size=\"61726720\", alpha=\"0.14\", expect_size=\"18518016\"] \n  15 -> 16 [size =\"18518016\"]\n  16 [size=\"35628373\", alpha=\"0.18\", expect_size=\"10688512\"] \n  16 -> 17 [size =\"10688512\"]\n  17 [size=\"75332267\", alpha=\"0.12\", expect_size=\"22599680\"] \n  17 -> 18 [size =\"22599680\"]\n  18 [size=\"46325760\", alpha=\"0.06\", expect_size=\"13897728\"] \n  18 -> 19 [size =\"13897728\"]\n  19 [size=\"99778560\", alpha=\"0.10\", expect_size=\"29933568\"] \n  19 -> 20 [size =\"29933568\"]\n  20 [size=\"170291200\", alpha=\"0.16\", expect_size=\"51087360\"] \n  20 -> 21 [size =\"51087360\"]\n  21 [size=\"56391680\", alpha=\"0.07\", expect_size=\"16917504\"] \n  21 -> 22 [size =\"16917504\"]\n  22 [size=\"103130453\", alpha=\"0.11\", expect_size=\"30939136\"] \n  22 -> 23 [size =\"30939136\"]\n  23 [size=\"70410240\", alpha=\"0.08\", expect_size=\"21123072\"] \n  23 -> 24 [size =\"21123072\"]\n  24 [size=\"95737173\", alpha=\"0.15\", expect_size=\"28721152\"] \n  24 -> 25 [size =\"28721152\"]\n  25 [size=\"25975467\", alpha=\"0.17\", expect_size=\"7792640\"] \n  25 -> 26 [size =\"7792640\"]\n  26 [size=\"137594880\", alpha=\"0.04\", expect_size=\"41278464\"] \n  26 -> 27 [size =\"41278464\"]\n  27 [size=\"119620267\", alpha=\"0.05\", expect_size=\"35886080\"] \n  27 -> 28 [size =\"35886080\"]\n  28 [size=\"58118827\", alpha=\"0.09\", expect_size=\"17435648\"] \n  28 -> 29 [size =\"17435648\"]\n  29 [size=\"107448320\", alpha=\"0.09\", expect_size=\"32234496\"] \n  29 -> 30 [size =\"32234496\"]\n  30 [size=\"27204267\", alpha=\"0.03\", expect_size=\"8161280\"] \n  30 -> 31 [size =\"8161280\"]\n  31 [size=\"154265600\", alpha=\"0.10\", expect_size=\"46279680\"] \n  31 -> 32 [size =\"46279680\"]\n  32 [size=\"55688533\", alpha=\"0.07\", expect_size=\"16706560\"] \n  32 -> 33 [size =\"16706560\"]\n  33 [size=\"143872000\", alpha=\"0.01\", expect_size=\"43161600\"] \n  33 -> 34 [size =\"43161600\"]\n  34 [size=\"53370880\", alpha=\"0.07\", expect_size=\"16011264\"] \n  34 -> 35 [size =\"16011264\"]\n  35 [size=\"171342507\", alpha=\"0.18\", expect_size=\"51402752\"] \n  35 -> 36 [size =\"51402752\"]\n  36 [size=\"146152107\", alpha=\"0.12\", expect_size=\"43845632\"] \n  36 -> 37 [size =\"43845632\"]\n  37 [size=\"17892693\", alpha=\"0.13\", expect_size=\"5367808\"] \n  37 -> 38 [size =\"5367808\"]\n  38 [size=\"56125440\", alpha=\"0.18\", expect_size=\"16837632\"] \n  38 -> 39 [size =\"16837632\"]\n  39 [size=\"128590507\", alpha=\"0.13\", expect_size=\"38577152\"] \n  39 -> 40 [size =\"38577152\"]\n  40 [size=\"41338880\", alpha=\"0.08\", expect_size=\"12401664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73363456\", alpha=\"0.01\", expect_size=\"36681728\"] \n  1 -> 2 [size =\"36681728\"]\n  1 -> 3 [size =\"36681728\"]\n  1 -> 4 [size =\"36681728\"]\n  2 [size=\"95922176\", alpha=\"0.18\", expect_size=\"47961088\"] \n  3 [size=\"99450880\", alpha=\"0.17\", expect_size=\"49725440\"] \n  3 -> 6 [size =\"49725440\"]\n  3 -> 7 [size =\"49725440\"]\n  4 [size=\"89886720\", alpha=\"0.04\", expect_size=\"44943360\"] \n  4 -> 5 [size =\"44943360\"]\n  5 [size=\"73437184\", alpha=\"0.19\", expect_size=\"36718592\"] \n  5 -> 10 [size =\"36718592\"]\n  6 [size=\"51322880\", alpha=\"0.08\", expect_size=\"25661440\"] \n  7 [size=\"32010240\", alpha=\"0.14\", expect_size=\"16005120\"] \n  7 -> 8 [size =\"16005120\"]\n  7 -> 9 [size =\"16005120\"]\n  8 [size=\"34304000\", alpha=\"0.08\", expect_size=\"17152000\"] \n  9 [size=\"67637248\", alpha=\"0.10\", expect_size=\"33818624\"] \n  9 -> 12 [size =\"33818624\"]\n  10 [size=\"56033280\", alpha=\"0.15\", expect_size=\"28016640\"] \n  10 -> 11 [size =\"28016640\"]\n  10 -> 12 [size =\"28016640\"]\n  11 [size=\"100210688\", alpha=\"0.01\", expect_size=\"50105344\"] \n  11 -> 13 [size =\"50105344\"]\n  11 -> 14 [size =\"50105344\"]\n  11 -> 15 [size =\"50105344\"]\n  12 [size=\"11714560\", alpha=\"0.15\", expect_size=\"5857280\"] \n  13 [size=\"95139840\", alpha=\"0.04\", expect_size=\"47569920\"] \n  13 -> 16 [size =\"47569920\"]\n  14 [size=\"78823424\", alpha=\"0.18\", expect_size=\"39411712\"] \n  14 -> 17 [size =\"39411712\"]\n  15 [size=\"95600640\", alpha=\"0.16\", expect_size=\"47800320\"] \n  15 -> 16 [size =\"47800320\"]\n  16 [size=\"92045312\", alpha=\"0.06\", expect_size=\"46022656\"] \n  17 [size=\"36493312\", alpha=\"0.03\", expect_size=\"18246656\"] \n  17 -> 18 [size =\"18246656\"]\n  17 -> 19 [size =\"18246656\"]\n  18 [size=\"104126464\", alpha=\"0.07\", expect_size=\"52063232\"] \n  19 [size=\"49848320\", alpha=\"0.03\", expect_size=\"24924160\"] \n  19 -> 20 [size =\"24924160\"]\n  20 [size=\"96720896\", alpha=\"0.09\", expect_size=\"48360448\"] \n  20 -> 21 [size =\"48360448\"]\n  20 -> 22 [size =\"48360448\"]\n  21 [size=\"71043072\", alpha=\"0.09\", expect_size=\"35521536\"] \n  21 -> 24 [size =\"35521536\"]\n  21 -> 25 [size =\"35521536\"]\n  22 [size=\"77729792\", alpha=\"0.06\", expect_size=\"38864896\"] \n  22 -> 23 [size =\"38864896\"]\n  23 [size=\"51855360\", alpha=\"0.03\", expect_size=\"25927680\"] \n  23 -> 26 [size =\"25927680\"]\n  23 -> 27 [size =\"25927680\"]\n  24 [size=\"70498304\", alpha=\"0.16\", expect_size=\"35249152\"] \n  25 [size=\"62799872\", alpha=\"0.02\", expect_size=\"31399936\"] \n  25 -> 26 [size =\"31399936\"]\n  26 [size=\"42823680\", alpha=\"0.17\", expect_size=\"21411840\"] \n  27 [size=\"69836800\", alpha=\"0.17\", expect_size=\"34918400\"] \n  27 -> 28 [size =\"34918400\"]\n  27 -> 29 [size =\"34918400\"]\n  27 -> 30 [size =\"34918400\"]\n  28 [size=\"86249472\", alpha=\"0.02\", expect_size=\"43124736\"] \n  29 [size=\"23334912\", alpha=\"0.19\", expect_size=\"11667456\"] \n  29 -> 31 [size =\"11667456\"]\n  30 [size=\"39016448\", alpha=\"0.05\", expect_size=\"19508224\"] \n  31 [size=\"83240960\", alpha=\"0.11\", expect_size=\"41620480\"] \n  31 -> 32 [size =\"41620480\"]\n  31 -> 33 [size =\"41620480\"]\n  31 -> 34 [size =\"41620480\"]\n  31 -> 35 [size =\"41620480\"]\n  32 [size=\"30138368\", alpha=\"0.17\", expect_size=\"15069184\"] \n  32 -> 36 [size =\"15069184\"]\n  32 -> 37 [size =\"15069184\"]\n  33 [size=\"59521024\", alpha=\"0.00\", expect_size=\"29760512\"] \n  34 [size=\"71610368\", alpha=\"0.19\", expect_size=\"35805184\"] \n  34 -> 36 [size =\"35805184\"]\n  34 -> 37 [size =\"35805184\"]\n  35 [size=\"51435520\", alpha=\"0.15\", expect_size=\"25717760\"] \n  36 [size=\"61952000\", alpha=\"0.08\", expect_size=\"30976000\"] \n  36 -> 38 [size =\"30976000\"]\n  36 -> 39 [size =\"30976000\"]\n  37 [size=\"49623040\", alpha=\"0.08\", expect_size=\"24811520\"] \n  38 [size=\"35979264\", alpha=\"0.06\", expect_size=\"17989632\"] \n  38 -> 40 [size =\"17989632\"]\n  39 [size=\"44834816\", alpha=\"0.14\", expect_size=\"22417408\"] \n  40 [size=\"38975488\", alpha=\"0.19\", expect_size=\"19487744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138857813\", alpha=\"0.15\", expect_size=\"41657344\"] \n  1 -> 27 [size =\"41657344\"]\n  2 [size=\"114329600\", alpha=\"0.03\", expect_size=\"34298880\"] \n  2 -> 20 [size =\"34298880\"]\n  2 -> 26 [size =\"34298880\"]\n  2 -> 28 [size =\"34298880\"]\n  3 [size=\"87596373\", alpha=\"0.04\", expect_size=\"26278912\"] \n  3 -> 19 [size =\"26278912\"]\n  3 -> 26 [size =\"26278912\"]\n  3 -> 28 [size =\"26278912\"]\n  3 -> 29 [size =\"26278912\"]\n  4 [size=\"93211307\", alpha=\"0.17\", expect_size=\"27963392\"] \n  4 -> 21 [size =\"27963392\"]\n  4 -> 26 [size =\"27963392\"]\n  4 -> 27 [size =\"27963392\"]\n  4 -> 28 [size =\"27963392\"]\n  5 [size=\"158286507\", alpha=\"0.00\", expect_size=\"47485952\"] \n  5 -> 22 [size =\"47485952\"]\n  5 -> 23 [size =\"47485952\"]\n  5 -> 30 [size =\"47485952\"]\n  6 [size=\"105601707\", alpha=\"0.04\", expect_size=\"31680512\"] \n  6 -> 18 [size =\"31680512\"]\n  6 -> 24 [size =\"31680512\"]\n  6 -> 27 [size =\"31680512\"]\n  6 -> 29 [size =\"31680512\"]\n  6 -> 31 [size =\"31680512\"]\n  7 [size=\"99693227\", alpha=\"0.03\", expect_size=\"29907968\"] \n  7 -> 18 [size =\"29907968\"]\n  7 -> 20 [size =\"29907968\"]\n  7 -> 21 [size =\"29907968\"]\n  7 -> 22 [size =\"29907968\"]\n  7 -> 23 [size =\"29907968\"]\n  7 -> 29 [size =\"29907968\"]\n  8 [size=\"82346667\", alpha=\"0.15\", expect_size=\"24704000\"] \n  8 -> 21 [size =\"24704000\"]\n  8 -> 27 [size =\"24704000\"]\n  8 -> 28 [size =\"24704000\"]\n  8 -> 31 [size =\"24704000\"]\n  9 [size=\"134625280\", alpha=\"0.06\", expect_size=\"40387584\"] \n  9 -> 24 [size =\"40387584\"]\n  9 -> 28 [size =\"40387584\"]\n  10 [size=\"82561707\", alpha=\"0.19\", expect_size=\"24768512\"] \n  10 -> 18 [size =\"24768512\"]\n  10 -> 20 [size =\"24768512\"]\n  10 -> 23 [size =\"24768512\"]\n  10 -> 29 [size =\"24768512\"]\n  11 [size=\"62682453\", alpha=\"0.05\", expect_size=\"18804736\"] \n  11 -> 21 [size =\"18804736\"]\n  11 -> 26 [size =\"18804736\"]\n  11 -> 29 [size =\"18804736\"]\n  12 [size=\"21821440\", alpha=\"0.13\", expect_size=\"6546432\"] \n  12 -> 21 [size =\"6546432\"]\n  12 -> 26 [size =\"6546432\"]\n  12 -> 27 [size =\"6546432\"]\n  12 -> 28 [size =\"6546432\"]\n  12 -> 29 [size =\"6546432\"]\n  13 [size=\"43717973\", alpha=\"0.08\", expect_size=\"13115392\"] \n  13 -> 20 [size =\"13115392\"]\n  13 -> 21 [size =\"13115392\"]\n  13 -> 26 [size =\"13115392\"]\n  13 -> 29 [size =\"13115392\"]\n  13 -> 31 [size =\"13115392\"]\n  14 [size=\"72314880\", alpha=\"0.01\", expect_size=\"21694464\"] \n  14 -> 20 [size =\"21694464\"]\n  14 -> 21 [size =\"21694464\"]\n  14 -> 25 [size =\"21694464\"]\n  15 [size=\"51261440\", alpha=\"0.04\", expect_size=\"15378432\"] \n  15 -> 29 [size =\"15378432\"]\n  16 [size=\"51875840\", alpha=\"0.07\", expect_size=\"15562752\"] \n  16 -> 23 [size =\"15562752\"]\n  16 -> 24 [size =\"15562752\"]\n  16 -> 25 [size =\"15562752\"]\n  16 -> 29 [size =\"15562752\"]\n  17 [size=\"85821440\", alpha=\"0.09\", expect_size=\"25746432\"] \n  17 -> 20 [size =\"25746432\"]\n  17 -> 23 [size =\"25746432\"]\n  18 [size=\"107390293\", alpha=\"0.17\", expect_size=\"32217088\"] \n  18 -> 32 [size =\"32217088\"]\n  18 -> 34 [size =\"32217088\"]\n  18 -> 36 [size =\"32217088\"]\n  18 -> 37 [size =\"32217088\"]\n  19 [size=\"69625173\", alpha=\"0.06\", expect_size=\"20887552\"] \n  19 -> 32 [size =\"20887552\"]\n  19 -> 34 [size =\"20887552\"]\n  19 -> 35 [size =\"20887552\"]\n  19 -> 40 [size =\"20887552\"]\n  20 [size=\"120217600\", alpha=\"0.12\", expect_size=\"36065280\"] \n  20 -> 32 [size =\"36065280\"]\n  20 -> 33 [size =\"36065280\"]\n  20 -> 34 [size =\"36065280\"]\n  20 -> 35 [size =\"36065280\"]\n  20 -> 38 [size =\"36065280\"]\n  21 [size=\"110134613\", alpha=\"0.13\", expect_size=\"33040384\"] \n  21 -> 33 [size =\"33040384\"]\n  21 -> 34 [size =\"33040384\"]\n  22 [size=\"150589440\", alpha=\"0.07\", expect_size=\"45176832\"] \n  23 [size=\"96750933\", alpha=\"0.09\", expect_size=\"29025280\"] \n  23 -> 32 [size =\"29025280\"]\n  24 [size=\"158238720\", alpha=\"0.01\", expect_size=\"47471616\"] \n  24 -> 33 [size =\"47471616\"]\n  24 -> 39 [size =\"47471616\"]\n  25 [size=\"169813333\", alpha=\"0.11\", expect_size=\"50944000\"] \n  25 -> 34 [size =\"50944000\"]\n  25 -> 36 [size =\"50944000\"]\n  26 [size=\"40321707\", alpha=\"0.13\", expect_size=\"12096512\"] \n  26 -> 32 [size =\"12096512\"]\n  27 [size=\"95952213\", alpha=\"0.04\", expect_size=\"28785664\"] \n  27 -> 36 [size =\"28785664\"]\n  28 [size=\"163048107\", alpha=\"0.04\", expect_size=\"48914432\"] \n  28 -> 32 [size =\"48914432\"]\n  28 -> 34 [size =\"48914432\"]\n  28 -> 35 [size =\"48914432\"]\n  29 [size=\"142827520\", alpha=\"0.19\", expect_size=\"42848256\"] \n  29 -> 33 [size =\"42848256\"]\n  29 -> 35 [size =\"42848256\"]\n  30 [size=\"31866880\", alpha=\"0.02\", expect_size=\"9560064\"] \n  30 -> 35 [size =\"9560064\"]\n  30 -> 39 [size =\"9560064\"]\n  31 [size=\"124091733\", alpha=\"0.11\", expect_size=\"37227520\"] \n  31 -> 32 [size =\"37227520\"]\n  31 -> 34 [size =\"37227520\"]\n  31 -> 36 [size =\"37227520\"]\n  32 [size=\"69021013\", alpha=\"0.00\", expect_size=\"20706304\"] \n  33 [size=\"120801280\", alpha=\"0.13\", expect_size=\"36240384\"] \n  34 [size=\"34979840\", alpha=\"0.13\", expect_size=\"10493952\"] \n  35 [size=\"44578133\", alpha=\"0.17\", expect_size=\"13373440\"] \n  36 [size=\"133123413\", alpha=\"0.05\", expect_size=\"39937024\"] \n  37 [size=\"74171733\", alpha=\"0.02\", expect_size=\"22251520\"] \n  38 [size=\"107226453\", alpha=\"0.11\", expect_size=\"32167936\"] \n  39 [size=\"139871573\", alpha=\"0.06\", expect_size=\"41961472\"] \n  40 [size=\"131976533\", alpha=\"0.14\", expect_size=\"39592960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130004480\", alpha=\"0.12\", expect_size=\"52001792\"] \n  1 -> 4 [size =\"52001792\"]\n  1 -> 5 [size =\"52001792\"]\n  1 -> 6 [size =\"52001792\"]\n  1 -> 7 [size =\"52001792\"]\n  1 -> 8 [size =\"52001792\"]\n  2 [size=\"101911040\", alpha=\"0.16\", expect_size=\"40764416\"] \n  3 [size=\"105963520\", alpha=\"0.06\", expect_size=\"42385408\"] \n  3 -> 5 [size =\"42385408\"]\n  3 -> 6 [size =\"42385408\"]\n  3 -> 7 [size =\"42385408\"]\n  4 [size=\"68285440\", alpha=\"0.19\", expect_size=\"27314176\"] \n  4 -> 11 [size =\"27314176\"]\n  4 -> 15 [size =\"27314176\"]\n  5 [size=\"72399360\", alpha=\"0.03\", expect_size=\"28959744\"] \n  5 -> 9 [size =\"28959744\"]\n  6 [size=\"128867840\", alpha=\"0.18\", expect_size=\"51547136\"] \n  6 -> 11 [size =\"51547136\"]\n  6 -> 12 [size =\"51547136\"]\n  6 -> 16 [size =\"51547136\"]\n  7 [size=\"120128000\", alpha=\"0.03\", expect_size=\"48051200\"] \n  7 -> 10 [size =\"48051200\"]\n  7 -> 12 [size =\"48051200\"]\n  7 -> 13 [size =\"48051200\"]\n  7 -> 16 [size =\"48051200\"]\n  8 [size=\"85440000\", alpha=\"0.03\", expect_size=\"34176000\"] \n  8 -> 9 [size =\"34176000\"]\n  8 -> 10 [size =\"34176000\"]\n  8 -> 12 [size =\"34176000\"]\n  8 -> 14 [size =\"34176000\"]\n  8 -> 16 [size =\"34176000\"]\n  9 [size=\"95705600\", alpha=\"0.03\", expect_size=\"38282240\"] \n  9 -> 19 [size =\"38282240\"]\n  9 -> 20 [size =\"38282240\"]\n  9 -> 22 [size =\"38282240\"]\n  9 -> 23 [size =\"38282240\"]\n  10 [size=\"85542400\", alpha=\"0.06\", expect_size=\"34216960\"] \n  10 -> 20 [size =\"34216960\"]\n  10 -> 20 [size =\"34216960\"]\n  10 -> 22 [size =\"34216960\"]\n  11 [size=\"125670400\", alpha=\"0.01\", expect_size=\"50268160\"] \n  11 -> 20 [size =\"50268160\"]\n  11 -> 23 [size =\"50268160\"]\n  11 -> 24 [size =\"50268160\"]\n  12 [size=\"80614400\", alpha=\"0.02\", expect_size=\"32245760\"] \n  12 -> 17 [size =\"32245760\"]\n  12 -> 18 [size =\"32245760\"]\n  12 -> 23 [size =\"32245760\"]\n  12 -> 24 [size =\"32245760\"]\n  13 [size=\"55562240\", alpha=\"0.19\", expect_size=\"22224896\"] \n  13 -> 17 [size =\"22224896\"]\n  13 -> 18 [size =\"22224896\"]\n  13 -> 24 [size =\"22224896\"]\n  13 -> 24 [size =\"22224896\"]\n  14 [size=\"93160960\", alpha=\"0.09\", expect_size=\"37264384\"] \n  14 -> 17 [size =\"37264384\"]\n  14 -> 21 [size =\"37264384\"]\n  14 -> 22 [size =\"37264384\"]\n  14 -> 24 [size =\"37264384\"]\n  15 [size=\"87477760\", alpha=\"0.17\", expect_size=\"34991104\"] \n  15 -> 17 [size =\"34991104\"]\n  15 -> 18 [size =\"34991104\"]\n  15 -> 23 [size =\"34991104\"]\n  16 [size=\"103672320\", alpha=\"0.14\", expect_size=\"41468928\"] \n  16 -> 18 [size =\"41468928\"]\n  16 -> 22 [size =\"41468928\"]\n  17 [size=\"89377280\", alpha=\"0.08\", expect_size=\"35750912\"] \n  17 -> 25 [size =\"35750912\"]\n  17 -> 26 [size =\"35750912\"]\n  17 -> 27 [size =\"35750912\"]\n  17 -> 29 [size =\"35750912\"]\n  17 -> 31 [size =\"35750912\"]\n  18 [size=\"106388480\", alpha=\"0.17\", expect_size=\"42555392\"] \n  18 -> 25 [size =\"42555392\"]\n  18 -> 26 [size =\"42555392\"]\n  19 [size=\"124733440\", alpha=\"0.15\", expect_size=\"49893376\"] \n  20 [size=\"22786560\", alpha=\"0.06\", expect_size=\"9114624\"] \n  20 -> 25 [size =\"9114624\"]\n  20 -> 26 [size =\"9114624\"]\n  20 -> 27 [size =\"9114624\"]\n  20 -> 30 [size =\"9114624\"]\n  21 [size=\"60431360\", alpha=\"0.18\", expect_size=\"24172544\"] \n  21 -> 25 [size =\"24172544\"]\n  21 -> 26 [size =\"24172544\"]\n  21 -> 27 [size =\"24172544\"]\n  21 -> 28 [size =\"24172544\"]\n  21 -> 29 [size =\"24172544\"]\n  22 [size=\"68792320\", alpha=\"0.04\", expect_size=\"27516928\"] \n  22 -> 26 [size =\"27516928\"]\n  22 -> 28 [size =\"27516928\"]\n  22 -> 29 [size =\"27516928\"]\n  22 -> 31 [size =\"27516928\"]\n  23 [size=\"78016000\", alpha=\"0.07\", expect_size=\"31206400\"] \n  23 -> 29 [size =\"31206400\"]\n  23 -> 31 [size =\"31206400\"]\n  24 [size=\"69683200\", alpha=\"0.18\", expect_size=\"27873280\"] \n  24 -> 29 [size =\"27873280\"]\n  25 [size=\"124380160\", alpha=\"0.20\", expect_size=\"49752064\"] \n  25 -> 33 [size =\"49752064\"]\n  25 -> 35 [size =\"49752064\"]\n  26 [size=\"103884800\", alpha=\"0.01\", expect_size=\"41553920\"] \n  26 -> 32 [size =\"41553920\"]\n  26 -> 33 [size =\"41553920\"]\n  26 -> 35 [size =\"41553920\"]\n  27 [size=\"69406720\", alpha=\"0.01\", expect_size=\"27762688\"] \n  27 -> 33 [size =\"27762688\"]\n  28 [size=\"115338240\", alpha=\"0.12\", expect_size=\"46135296\"] \n  28 -> 33 [size =\"46135296\"]\n  28 -> 34 [size =\"46135296\"]\n  29 [size=\"96591360\", alpha=\"0.18\", expect_size=\"38636544\"] \n  29 -> 33 [size =\"38636544\"]\n  30 [size=\"65134080\", alpha=\"0.16\", expect_size=\"26053632\"] \n  30 -> 34 [size =\"26053632\"]\n  31 [size=\"102328320\", alpha=\"0.13\", expect_size=\"40931328\"] \n  31 -> 35 [size =\"40931328\"]\n  32 [size=\"89136640\", alpha=\"0.02\", expect_size=\"35654656\"] \n  32 -> 37 [size =\"35654656\"]\n  32 -> 38 [size =\"35654656\"]\n  32 -> 39 [size =\"35654656\"]\n  32 -> 40 [size =\"35654656\"]\n  33 [size=\"114370560\", alpha=\"0.17\", expect_size=\"45748224\"] \n  33 -> 36 [size =\"45748224\"]\n  33 -> 39 [size =\"45748224\"]\n  34 [size=\"34954240\", alpha=\"0.07\", expect_size=\"13981696\"] \n  34 -> 39 [size =\"13981696\"]\n  35 [size=\"24030720\", alpha=\"0.08\", expect_size=\"9612288\"] \n  36 [size=\"22932480\", alpha=\"0.06\", expect_size=\"9172992\"] \n  37 [size=\"29452800\", alpha=\"0.16\", expect_size=\"11781120\"] \n  38 [size=\"32647680\", alpha=\"0.02\", expect_size=\"13059072\"] \n  39 [size=\"104855040\", alpha=\"0.07\", expect_size=\"41942016\"] \n  40 [size=\"92741120\", alpha=\"0.13\", expect_size=\"37096448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95221760\", alpha=\"0.06\", expect_size=\"28566528\"] \n  1 -> 2 [size =\"28566528\"]\n  2 [size=\"108991147\", alpha=\"0.02\", expect_size=\"32697344\"] \n  2 -> 3 [size =\"32697344\"]\n  3 [size=\"67263147\", alpha=\"0.03\", expect_size=\"20178944\"] \n  3 -> 4 [size =\"20178944\"]\n  4 [size=\"119855787\", alpha=\"0.13\", expect_size=\"35956736\"] \n  4 -> 5 [size =\"35956736\"]\n  5 [size=\"157777920\", alpha=\"0.06\", expect_size=\"47333376\"] \n  5 -> 6 [size =\"47333376\"]\n  6 [size=\"52790613\", alpha=\"0.18\", expect_size=\"15837184\"] \n  6 -> 7 [size =\"15837184\"]\n  7 [size=\"57296213\", alpha=\"0.19\", expect_size=\"17188864\"] \n  7 -> 8 [size =\"17188864\"]\n  8 [size=\"38386347\", alpha=\"0.06\", expect_size=\"11515904\"] \n  8 -> 9 [size =\"11515904\"]\n  9 [size=\"111336107\", alpha=\"0.14\", expect_size=\"33400832\"] \n  9 -> 10 [size =\"33400832\"]\n  10 [size=\"125026987\", alpha=\"0.14\", expect_size=\"37508096\"] \n  10 -> 11 [size =\"37508096\"]\n  11 [size=\"38178133\", alpha=\"0.19\", expect_size=\"11453440\"] \n  11 -> 12 [size =\"11453440\"]\n  12 [size=\"81694720\", alpha=\"0.11\", expect_size=\"24508416\"] \n  12 -> 13 [size =\"24508416\"]\n  13 [size=\"98754560\", alpha=\"0.01\", expect_size=\"29626368\"] \n  13 -> 14 [size =\"29626368\"]\n  14 [size=\"125242027\", alpha=\"0.06\", expect_size=\"37572608\"] \n  14 -> 15 [size =\"37572608\"]\n  15 [size=\"73707520\", alpha=\"0.20\", expect_size=\"22112256\"] \n  15 -> 16 [size =\"22112256\"]\n  16 [size=\"119674880\", alpha=\"0.11\", expect_size=\"35902464\"] \n  16 -> 17 [size =\"35902464\"]\n  17 [size=\"102232747\", alpha=\"0.07\", expect_size=\"30669824\"] \n  17 -> 18 [size =\"30669824\"]\n  18 [size=\"96488107\", alpha=\"0.16\", expect_size=\"28946432\"] \n  18 -> 19 [size =\"28946432\"]\n  19 [size=\"144271360\", alpha=\"0.07\", expect_size=\"43281408\"] \n  19 -> 20 [size =\"43281408\"]\n  20 [size=\"97232213\", alpha=\"0.13\", expect_size=\"29169664\"] \n  20 -> 21 [size =\"29169664\"]\n  21 [size=\"46578347\", alpha=\"0.08\", expect_size=\"13973504\"] \n  21 -> 22 [size =\"13973504\"]\n  22 [size=\"34839893\", alpha=\"0.15\", expect_size=\"10451968\"] \n  22 -> 23 [size =\"10451968\"]\n  23 [size=\"123211093\", alpha=\"0.09\", expect_size=\"36963328\"] \n  23 -> 24 [size =\"36963328\"]\n  24 [size=\"127501653\", alpha=\"0.16\", expect_size=\"38250496\"] \n  24 -> 25 [size =\"38250496\"]\n  25 [size=\"20008960\", alpha=\"0.20\", expect_size=\"6002688\"] \n  25 -> 26 [size =\"6002688\"]\n  26 [size=\"18408107\", alpha=\"0.09\", expect_size=\"5522432\"] \n  26 -> 27 [size =\"5522432\"]\n  27 [size=\"101010773\", alpha=\"0.03\", expect_size=\"30303232\"] \n  27 -> 28 [size =\"30303232\"]\n  28 [size=\"156709547\", alpha=\"0.19\", expect_size=\"47012864\"] \n  28 -> 29 [size =\"47012864\"]\n  29 [size=\"121992533\", alpha=\"0.08\", expect_size=\"36597760\"] \n  29 -> 30 [size =\"36597760\"]\n  30 [size=\"20254720\", alpha=\"0.10\", expect_size=\"6076416\"] \n  30 -> 31 [size =\"6076416\"]\n  31 [size=\"120326827\", alpha=\"0.15\", expect_size=\"36098048\"] \n  31 -> 32 [size =\"36098048\"]\n  32 [size=\"28095147\", alpha=\"0.08\", expect_size=\"8428544\"] \n  32 -> 33 [size =\"8428544\"]\n  33 [size=\"149654187\", alpha=\"0.11\", expect_size=\"44896256\"] \n  33 -> 34 [size =\"44896256\"]\n  34 [size=\"62931627\", alpha=\"0.08\", expect_size=\"18879488\"] \n  34 -> 35 [size =\"18879488\"]\n  35 [size=\"27589973\", alpha=\"0.12\", expect_size=\"8276992\"] \n  35 -> 36 [size =\"8276992\"]\n  36 [size=\"26654720\", alpha=\"0.10\", expect_size=\"7996416\"] \n  36 -> 37 [size =\"7996416\"]\n  37 [size=\"95440213\", alpha=\"0.18\", expect_size=\"28632064\"] \n  37 -> 38 [size =\"28632064\"]\n  38 [size=\"116483413\", alpha=\"0.16\", expect_size=\"34945024\"] \n  38 -> 39 [size =\"34945024\"]\n  39 [size=\"110690987\", alpha=\"0.10\", expect_size=\"33207296\"] \n  39 -> 40 [size =\"33207296\"]\n  40 [size=\"171926187\", alpha=\"0.14\", expect_size=\"51577856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84852053\", alpha=\"0.16\", expect_size=\"25455616\"] \n  1 -> 11 [size =\"25455616\"]\n  1 -> 15 [size =\"25455616\"]\n  1 -> 19 [size =\"25455616\"]\n  1 -> 20 [size =\"25455616\"]\n  1 -> 21 [size =\"25455616\"]\n  2 [size=\"123521707\", alpha=\"0.09\", expect_size=\"37056512\"] \n  2 -> 12 [size =\"37056512\"]\n  2 -> 15 [size =\"37056512\"]\n  2 -> 18 [size =\"37056512\"]\n  2 -> 20 [size =\"37056512\"]\n  3 [size=\"63795200\", alpha=\"0.08\", expect_size=\"19138560\"] \n  3 -> 10 [size =\"19138560\"]\n  3 -> 14 [size =\"19138560\"]\n  3 -> 16 [size =\"19138560\"]\n  3 -> 17 [size =\"19138560\"]\n  3 -> 19 [size =\"19138560\"]\n  4 [size=\"174588587\", alpha=\"0.13\", expect_size=\"52376576\"] \n  4 -> 10 [size =\"52376576\"]\n  4 -> 12 [size =\"52376576\"]\n  4 -> 13 [size =\"52376576\"]\n  4 -> 16 [size =\"52376576\"]\n  4 -> 19 [size =\"52376576\"]\n  5 [size=\"127542613\", alpha=\"0.05\", expect_size=\"38262784\"] \n  5 -> 10 [size =\"38262784\"]\n  5 -> 11 [size =\"38262784\"]\n  5 -> 12 [size =\"38262784\"]\n  5 -> 16 [size =\"38262784\"]\n  5 -> 19 [size =\"38262784\"]\n  5 -> 22 [size =\"38262784\"]\n  6 [size=\"120773973\", alpha=\"0.07\", expect_size=\"36232192\"] \n  6 -> 11 [size =\"36232192\"]\n  6 -> 11 [size =\"36232192\"]\n  6 -> 12 [size =\"36232192\"]\n  6 -> 18 [size =\"36232192\"]\n  6 -> 19 [size =\"36232192\"]\n  7 [size=\"64774827\", alpha=\"0.16\", expect_size=\"19432448\"] \n  7 -> 10 [size =\"19432448\"]\n  7 -> 11 [size =\"19432448\"]\n  7 -> 12 [size =\"19432448\"]\n  7 -> 14 [size =\"19432448\"]\n  7 -> 16 [size =\"19432448\"]\n  8 [size=\"70045013\", alpha=\"0.19\", expect_size=\"21013504\"] \n  8 -> 17 [size =\"21013504\"]\n  9 [size=\"95320747\", alpha=\"0.13\", expect_size=\"28596224\"] \n  9 -> 16 [size =\"28596224\"]\n  9 -> 17 [size =\"28596224\"]\n  9 -> 18 [size =\"28596224\"]\n  10 [size=\"98874027\", alpha=\"0.06\", expect_size=\"29662208\"] \n  10 -> 24 [size =\"29662208\"]\n  10 -> 26 [size =\"29662208\"]\n  10 -> 29 [size =\"29662208\"]\n  10 -> 30 [size =\"29662208\"]\n  10 -> 31 [size =\"29662208\"]\n  10 -> 33 [size =\"29662208\"]\n  11 [size=\"51165867\", alpha=\"0.08\", expect_size=\"15349760\"] \n  11 -> 24 [size =\"15349760\"]\n  11 -> 26 [size =\"15349760\"]\n  11 -> 27 [size =\"15349760\"]\n  11 -> 30 [size =\"15349760\"]\n  11 -> 33 [size =\"15349760\"]\n  11 -> 34 [size =\"15349760\"]\n  11 -> 36 [size =\"15349760\"]\n  12 [size=\"17677653\", alpha=\"0.17\", expect_size=\"5303296\"] \n  12 -> 25 [size =\"5303296\"]\n  12 -> 26 [size =\"5303296\"]\n  12 -> 30 [size =\"5303296\"]\n  12 -> 33 [size =\"5303296\"]\n  13 [size=\"90030080\", alpha=\"0.11\", expect_size=\"27009024\"] \n  13 -> 26 [size =\"27009024\"]\n  13 -> 26 [size =\"27009024\"]\n  13 -> 29 [size =\"27009024\"]\n  13 -> 32 [size =\"27009024\"]\n  13 -> 33 [size =\"27009024\"]\n  13 -> 36 [size =\"27009024\"]\n  14 [size=\"152429227\", alpha=\"0.17\", expect_size=\"45728768\"] \n  14 -> 28 [size =\"45728768\"]\n  14 -> 29 [size =\"45728768\"]\n  14 -> 32 [size =\"45728768\"]\n  14 -> 33 [size =\"45728768\"]\n  14 -> 35 [size =\"45728768\"]\n  15 [size=\"99232427\", alpha=\"0.19\", expect_size=\"29769728\"] \n  15 -> 27 [size =\"29769728\"]\n  15 -> 31 [size =\"29769728\"]\n  15 -> 32 [size =\"29769728\"]\n  15 -> 36 [size =\"29769728\"]\n  16 [size=\"135434240\", alpha=\"0.02\", expect_size=\"40630272\"] \n  16 -> 24 [size =\"40630272\"]\n  16 -> 26 [size =\"40630272\"]\n  16 -> 29 [size =\"40630272\"]\n  16 -> 30 [size =\"40630272\"]\n  16 -> 31 [size =\"40630272\"]\n  16 -> 33 [size =\"40630272\"]\n  17 [size=\"34880853\", alpha=\"0.09\", expect_size=\"10464256\"] \n  17 -> 28 [size =\"10464256\"]\n  17 -> 29 [size =\"10464256\"]\n  17 -> 30 [size =\"10464256\"]\n  17 -> 33 [size =\"10464256\"]\n  17 -> 34 [size =\"10464256\"]\n  17 -> 35 [size =\"10464256\"]\n  18 [size=\"161488213\", alpha=\"0.10\", expect_size=\"48446464\"] \n  18 -> 24 [size =\"48446464\"]\n  18 -> 26 [size =\"48446464\"]\n  18 -> 29 [size =\"48446464\"]\n  18 -> 30 [size =\"48446464\"]\n  18 -> 31 [size =\"48446464\"]\n  18 -> 32 [size =\"48446464\"]\n  18 -> 33 [size =\"48446464\"]\n  18 -> 34 [size =\"48446464\"]\n  18 -> 35 [size =\"48446464\"]\n  18 -> 36 [size =\"48446464\"]\n  19 [size=\"151309653\", alpha=\"0.14\", expect_size=\"45392896\"] \n  19 -> 23 [size =\"45392896\"]\n  19 -> 26 [size =\"45392896\"]\n  19 -> 28 [size =\"45392896\"]\n  19 -> 29 [size =\"45392896\"]\n  19 -> 30 [size =\"45392896\"]\n  19 -> 35 [size =\"45392896\"]\n  19 -> 36 [size =\"45392896\"]\n  20 [size=\"93163520\", alpha=\"0.11\", expect_size=\"27949056\"] \n  20 -> 27 [size =\"27949056\"]\n  20 -> 29 [size =\"27949056\"]\n  20 -> 33 [size =\"27949056\"]\n  20 -> 35 [size =\"27949056\"]\n  21 [size=\"143950507\", alpha=\"0.15\", expect_size=\"43185152\"] \n  21 -> 27 [size =\"43185152\"]\n  21 -> 29 [size =\"43185152\"]\n  21 -> 30 [size =\"43185152\"]\n  21 -> 33 [size =\"43185152\"]\n  21 -> 35 [size =\"43185152\"]\n  22 [size=\"48264533\", alpha=\"0.14\", expect_size=\"14479360\"] \n  22 -> 26 [size =\"14479360\"]\n  22 -> 29 [size =\"14479360\"]\n  22 -> 30 [size =\"14479360\"]\n  22 -> 35 [size =\"14479360\"]\n  22 -> 36 [size =\"14479360\"]\n  23 [size=\"27501227\", alpha=\"0.18\", expect_size=\"8250368\"] \n  23 -> 40 [size =\"8250368\"]\n  24 [size=\"110230187\", alpha=\"0.02\", expect_size=\"33069056\"] \n  24 -> 37 [size =\"33069056\"]\n  24 -> 40 [size =\"33069056\"]\n  25 [size=\"86227627\", alpha=\"0.00\", expect_size=\"25868288\"] \n  25 -> 40 [size =\"25868288\"]\n  25 -> 40 [size =\"25868288\"]\n  26 [size=\"77329067\", alpha=\"0.12\", expect_size=\"23198720\"] \n  26 -> 37 [size =\"23198720\"]\n  26 -> 40 [size =\"23198720\"]\n  27 [size=\"93231787\", alpha=\"0.09\", expect_size=\"27969536\"] \n  27 -> 38 [size =\"27969536\"]\n  27 -> 39 [size =\"27969536\"]\n  27 -> 40 [size =\"27969536\"]\n  28 [size=\"167775573\", alpha=\"0.13\", expect_size=\"50332672\"] \n  28 -> 37 [size =\"50332672\"]\n  28 -> 38 [size =\"50332672\"]\n  28 -> 40 [size =\"50332672\"]\n  29 [size=\"89606827\", alpha=\"0.07\", expect_size=\"26882048\"] \n  29 -> 38 [size =\"26882048\"]\n  29 -> 38 [size =\"26882048\"]\n  30 [size=\"45605547\", alpha=\"0.11\", expect_size=\"13681664\"] \n  30 -> 38 [size =\"13681664\"]\n  30 -> 40 [size =\"13681664\"]\n  31 [size=\"129365333\", alpha=\"0.20\", expect_size=\"38809600\"] \n  31 -> 38 [size =\"38809600\"]\n  31 -> 40 [size =\"38809600\"]\n  32 [size=\"93689173\", alpha=\"0.08\", expect_size=\"28106752\"] \n  32 -> 38 [size =\"28106752\"]\n  32 -> 39 [size =\"28106752\"]\n  32 -> 40 [size =\"28106752\"]\n  33 [size=\"44622507\", alpha=\"0.06\", expect_size=\"13386752\"] \n  33 -> 38 [size =\"13386752\"]\n  33 -> 39 [size =\"13386752\"]\n  34 [size=\"28494507\", alpha=\"0.01\", expect_size=\"8548352\"] \n  34 -> 38 [size =\"8548352\"]\n  34 -> 39 [size =\"8548352\"]\n  35 [size=\"45124267\", alpha=\"0.06\", expect_size=\"13537280\"] \n  35 -> 37 [size =\"13537280\"]\n  35 -> 38 [size =\"13537280\"]\n  35 -> 39 [size =\"13537280\"]\n  36 [size=\"47295147\", alpha=\"0.06\", expect_size=\"14188544\"] \n  37 [size=\"138308267\", alpha=\"0.09\", expect_size=\"41492480\"] \n  38 [size=\"50885973\", alpha=\"0.10\", expect_size=\"15265792\"] \n  39 [size=\"152173227\", alpha=\"0.08\", expect_size=\"45651968\"] \n  40 [size=\"48155307\", alpha=\"0.15\", expect_size=\"14446592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160088747\", alpha=\"0.15\", expect_size=\"48026624\"] \n  1 -> 2 [size =\"48026624\"]\n  2 [size=\"34454187\", alpha=\"0.01\", expect_size=\"10336256\"] \n  2 -> 3 [size =\"10336256\"]\n  3 [size=\"126218240\", alpha=\"0.14\", expect_size=\"37865472\"] \n  3 -> 4 [size =\"37865472\"]\n  4 [size=\"145039360\", alpha=\"0.00\", expect_size=\"43511808\"] \n  4 -> 5 [size =\"43511808\"]\n  5 [size=\"62167040\", alpha=\"0.03\", expect_size=\"18650112\"] \n  5 -> 6 [size =\"18650112\"]\n  6 [size=\"25856000\", alpha=\"0.12\", expect_size=\"7756800\"] \n  6 -> 7 [size =\"7756800\"]\n  7 [size=\"78175573\", alpha=\"0.09\", expect_size=\"23452672\"] \n  7 -> 8 [size =\"23452672\"]\n  8 [size=\"57784320\", alpha=\"0.15\", expect_size=\"17335296\"] \n  8 -> 9 [size =\"17335296\"]\n  9 [size=\"84565333\", alpha=\"0.16\", expect_size=\"25369600\"] \n  9 -> 10 [size =\"25369600\"]\n  10 [size=\"113380693\", alpha=\"0.13\", expect_size=\"34014208\"] \n  10 -> 11 [size =\"34014208\"]\n  11 [size=\"156422827\", alpha=\"0.16\", expect_size=\"46926848\"] \n  11 -> 12 [size =\"46926848\"]\n  12 [size=\"118572373\", alpha=\"0.02\", expect_size=\"35571712\"] \n  12 -> 13 [size =\"35571712\"]\n  13 [size=\"129389227\", alpha=\"0.19\", expect_size=\"38816768\"] \n  13 -> 14 [size =\"38816768\"]\n  14 [size=\"82080427\", alpha=\"0.15\", expect_size=\"24624128\"] \n  14 -> 15 [size =\"24624128\"]\n  15 [size=\"83456000\", alpha=\"0.16\", expect_size=\"25036800\"] \n  15 -> 16 [size =\"25036800\"]\n  16 [size=\"104280747\", alpha=\"0.12\", expect_size=\"31284224\"] \n  16 -> 17 [size =\"31284224\"]\n  17 [size=\"40007680\", alpha=\"0.13\", expect_size=\"12002304\"] \n  17 -> 18 [size =\"12002304\"]\n  18 [size=\"110564693\", alpha=\"0.12\", expect_size=\"33169408\"] \n  18 -> 19 [size =\"33169408\"]\n  19 [size=\"67983360\", alpha=\"0.16\", expect_size=\"20395008\"] \n  19 -> 20 [size =\"20395008\"]\n  20 [size=\"37949440\", alpha=\"0.06\", expect_size=\"11384832\"] \n  20 -> 21 [size =\"11384832\"]\n  21 [size=\"141148160\", alpha=\"0.14\", expect_size=\"42344448\"] \n  21 -> 22 [size =\"42344448\"]\n  22 [size=\"112844800\", alpha=\"0.04\", expect_size=\"33853440\"] \n  22 -> 23 [size =\"33853440\"]\n  23 [size=\"127051093\", alpha=\"0.08\", expect_size=\"38115328\"] \n  23 -> 24 [size =\"38115328\"]\n  24 [size=\"115725653\", alpha=\"0.08\", expect_size=\"34717696\"] \n  24 -> 25 [size =\"34717696\"]\n  25 [size=\"76581547\", alpha=\"0.14\", expect_size=\"22974464\"] \n  25 -> 26 [size =\"22974464\"]\n  26 [size=\"42967040\", alpha=\"0.01\", expect_size=\"12890112\"] \n  26 -> 27 [size =\"12890112\"]\n  27 [size=\"140595200\", alpha=\"0.15\", expect_size=\"42178560\"] \n  27 -> 28 [size =\"42178560\"]\n  28 [size=\"84343467\", alpha=\"0.15\", expect_size=\"25303040\"] \n  28 -> 29 [size =\"25303040\"]\n  29 [size=\"20090880\", alpha=\"0.03\", expect_size=\"6027264\"] \n  29 -> 30 [size =\"6027264\"]\n  30 [size=\"146879147\", alpha=\"0.04\", expect_size=\"44063744\"] \n  30 -> 31 [size =\"44063744\"]\n  31 [size=\"36225707\", alpha=\"0.02\", expect_size=\"10867712\"] \n  31 -> 32 [size =\"10867712\"]\n  32 [size=\"145326080\", alpha=\"0.13\", expect_size=\"43597824\"] \n  32 -> 33 [size =\"43597824\"]\n  33 [size=\"19292160\", alpha=\"0.18\", expect_size=\"5787648\"] \n  33 -> 34 [size =\"5787648\"]\n  34 [size=\"81448960\", alpha=\"0.12\", expect_size=\"24434688\"] \n  34 -> 35 [size =\"24434688\"]\n  35 [size=\"144786773\", alpha=\"0.14\", expect_size=\"43436032\"] \n  35 -> 36 [size =\"43436032\"]\n  36 [size=\"96709973\", alpha=\"0.06\", expect_size=\"29012992\"] \n  36 -> 37 [size =\"29012992\"]\n  37 [size=\"102888107\", alpha=\"0.02\", expect_size=\"30866432\"] \n  37 -> 38 [size =\"30866432\"]\n  38 [size=\"66730667\", alpha=\"0.10\", expect_size=\"20019200\"] \n  38 -> 39 [size =\"20019200\"]\n  39 [size=\"28549120\", alpha=\"0.04\", expect_size=\"8564736\"] \n  39 -> 40 [size =\"8564736\"]\n  40 [size=\"55439360\", alpha=\"0.00\", expect_size=\"16631808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50060800\", alpha=\"0.19\", expect_size=\"20024320\"] \n  1 -> 2 [size =\"20024320\"]\n  2 [size=\"109012480\", alpha=\"0.05\", expect_size=\"43604992\"] \n  2 -> 3 [size =\"43604992\"]\n  3 [size=\"49774080\", alpha=\"0.08\", expect_size=\"19909632\"] \n  3 -> 4 [size =\"19909632\"]\n  4 [size=\"49817600\", alpha=\"0.16\", expect_size=\"19927040\"] \n  4 -> 5 [size =\"19927040\"]\n  5 [size=\"58631680\", alpha=\"0.03\", expect_size=\"23452672\"] \n  5 -> 6 [size =\"23452672\"]\n  6 [size=\"84590080\", alpha=\"0.11\", expect_size=\"33836032\"] \n  6 -> 7 [size =\"33836032\"]\n  7 [size=\"50795520\", alpha=\"0.10\", expect_size=\"20318208\"] \n  7 -> 8 [size =\"20318208\"]\n  8 [size=\"120386560\", alpha=\"0.04\", expect_size=\"48154624\"] \n  8 -> 9 [size =\"48154624\"]\n  9 [size=\"60472320\", alpha=\"0.02\", expect_size=\"24188928\"] \n  9 -> 10 [size =\"24188928\"]\n  10 [size=\"53729280\", alpha=\"0.06\", expect_size=\"21491712\"] \n  10 -> 11 [size =\"21491712\"]\n  11 [size=\"129172480\", alpha=\"0.17\", expect_size=\"51668992\"] \n  11 -> 12 [size =\"51668992\"]\n  12 [size=\"122465280\", alpha=\"0.12\", expect_size=\"48986112\"] \n  12 -> 13 [size =\"48986112\"]\n  13 [size=\"31447040\", alpha=\"0.16\", expect_size=\"12578816\"] \n  13 -> 14 [size =\"12578816\"]\n  14 [size=\"76083200\", alpha=\"0.15\", expect_size=\"30433280\"] \n  14 -> 15 [size =\"30433280\"]\n  15 [size=\"55029760\", alpha=\"0.07\", expect_size=\"22011904\"] \n  15 -> 16 [size =\"22011904\"]\n  16 [size=\"75537920\", alpha=\"0.14\", expect_size=\"30215168\"] \n  16 -> 17 [size =\"30215168\"]\n  17 [size=\"20774400\", alpha=\"0.17\", expect_size=\"8309760\"] \n  17 -> 18 [size =\"8309760\"]\n  18 [size=\"79820800\", alpha=\"0.17\", expect_size=\"31928320\"] \n  18 -> 19 [size =\"31928320\"]\n  19 [size=\"104688640\", alpha=\"0.03\", expect_size=\"41875456\"] \n  19 -> 20 [size =\"41875456\"]\n  20 [size=\"114508800\", alpha=\"0.09\", expect_size=\"45803520\"] \n  20 -> 21 [size =\"45803520\"]\n  21 [size=\"32796160\", alpha=\"0.01\", expect_size=\"13118464\"] \n  21 -> 22 [size =\"13118464\"]\n  22 [size=\"16335360\", alpha=\"0.09\", expect_size=\"6534144\"] \n  22 -> 23 [size =\"6534144\"]\n  23 [size=\"88967680\", alpha=\"0.04\", expect_size=\"35587072\"] \n  23 -> 24 [size =\"35587072\"]\n  24 [size=\"64506880\", alpha=\"0.05\", expect_size=\"25802752\"] \n  24 -> 25 [size =\"25802752\"]\n  25 [size=\"37191680\", alpha=\"0.14\", expect_size=\"14876672\"] \n  25 -> 26 [size =\"14876672\"]\n  26 [size=\"78492160\", alpha=\"0.14\", expect_size=\"31396864\"] \n  26 -> 27 [size =\"31396864\"]\n  27 [size=\"40289280\", alpha=\"0.02\", expect_size=\"16115712\"] \n  27 -> 28 [size =\"16115712\"]\n  28 [size=\"23662080\", alpha=\"0.07\", expect_size=\"9464832\"] \n  28 -> 29 [size =\"9464832\"]\n  29 [size=\"124349440\", alpha=\"0.00\", expect_size=\"49739776\"] \n  29 -> 30 [size =\"49739776\"]\n  30 [size=\"22333440\", alpha=\"0.01\", expect_size=\"8933376\"] \n  30 -> 31 [size =\"8933376\"]\n  31 [size=\"73456640\", alpha=\"0.01\", expect_size=\"29382656\"] \n  31 -> 32 [size =\"29382656\"]\n  32 [size=\"78748160\", alpha=\"0.19\", expect_size=\"31499264\"] \n  32 -> 33 [size =\"31499264\"]\n  33 [size=\"16148480\", alpha=\"0.01\", expect_size=\"6459392\"] \n  33 -> 34 [size =\"6459392\"]\n  34 [size=\"40289280\", alpha=\"0.13\", expect_size=\"16115712\"] \n  34 -> 35 [size =\"16115712\"]\n  35 [size=\"69923840\", alpha=\"0.12\", expect_size=\"27969536\"] \n  35 -> 36 [size =\"27969536\"]\n  36 [size=\"32606720\", alpha=\"0.02\", expect_size=\"13042688\"] \n  36 -> 37 [size =\"13042688\"]\n  37 [size=\"117790720\", alpha=\"0.13\", expect_size=\"47116288\"] \n  37 -> 38 [size =\"47116288\"]\n  38 [size=\"127232000\", alpha=\"0.16\", expect_size=\"50892800\"] \n  38 -> 39 [size =\"50892800\"]\n  39 [size=\"50250240\", alpha=\"0.14\", expect_size=\"20100096\"] \n  39 -> 40 [size =\"20100096\"]\n  40 [size=\"52172800\", alpha=\"0.09\", expect_size=\"20869120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16501760\", alpha=\"0.19\", expect_size=\"6600704\"] \n  1 -> 11 [size =\"6600704\"]\n  1 -> 14 [size =\"6600704\"]\n  1 -> 15 [size =\"6600704\"]\n  1 -> 18 [size =\"6600704\"]\n  1 -> 19 [size =\"6600704\"]\n  1 -> 21 [size =\"6600704\"]\n  1 -> 22 [size =\"6600704\"]\n  1 -> 23 [size =\"6600704\"]\n  2 [size=\"65016320\", alpha=\"0.19\", expect_size=\"26006528\"] \n  2 -> 12 [size =\"26006528\"]\n  2 -> 13 [size =\"26006528\"]\n  2 -> 15 [size =\"26006528\"]\n  2 -> 18 [size =\"26006528\"]\n  2 -> 19 [size =\"26006528\"]\n  2 -> 22 [size =\"26006528\"]\n  2 -> 23 [size =\"26006528\"]\n  3 [size=\"112944640\", alpha=\"0.16\", expect_size=\"45177856\"] \n  3 -> 16 [size =\"45177856\"]\n  3 -> 19 [size =\"45177856\"]\n  3 -> 22 [size =\"45177856\"]\n  4 [size=\"107932160\", alpha=\"0.08\", expect_size=\"43172864\"] \n  4 -> 12 [size =\"43172864\"]\n  4 -> 13 [size =\"43172864\"]\n  4 -> 15 [size =\"43172864\"]\n  5 [size=\"105464320\", alpha=\"0.08\", expect_size=\"42185728\"] \n  5 -> 12 [size =\"42185728\"]\n  5 -> 13 [size =\"42185728\"]\n  5 -> 14 [size =\"42185728\"]\n  5 -> 16 [size =\"42185728\"]\n  6 [size=\"27307520\", alpha=\"0.14\", expect_size=\"10923008\"] \n  6 -> 12 [size =\"10923008\"]\n  6 -> 14 [size =\"10923008\"]\n  6 -> 14 [size =\"10923008\"]\n  6 -> 18 [size =\"10923008\"]\n  6 -> 21 [size =\"10923008\"]\n  6 -> 22 [size =\"10923008\"]\n  7 [size=\"14177280\", alpha=\"0.03\", expect_size=\"5670912\"] \n  7 -> 12 [size =\"5670912\"]\n  7 -> 15 [size =\"5670912\"]\n  7 -> 17 [size =\"5670912\"]\n  7 -> 19 [size =\"5670912\"]\n  7 -> 20 [size =\"5670912\"]\n  8 [size=\"95703040\", alpha=\"0.12\", expect_size=\"38281216\"] \n  8 -> 11 [size =\"38281216\"]\n  8 -> 12 [size =\"38281216\"]\n  8 -> 13 [size =\"38281216\"]\n  8 -> 17 [size =\"38281216\"]\n  8 -> 20 [size =\"38281216\"]\n  8 -> 22 [size =\"38281216\"]\n  9 [size=\"17648640\", alpha=\"0.16\", expect_size=\"7059456\"] \n  9 -> 13 [size =\"7059456\"]\n  9 -> 17 [size =\"7059456\"]\n  9 -> 20 [size =\"7059456\"]\n  9 -> 21 [size =\"7059456\"]\n  9 -> 22 [size =\"7059456\"]\n  9 -> 23 [size =\"7059456\"]\n  10 [size=\"37775360\", alpha=\"0.06\", expect_size=\"15110144\"] \n  10 -> 11 [size =\"15110144\"]\n  10 -> 13 [size =\"15110144\"]\n  10 -> 17 [size =\"15110144\"]\n  10 -> 20 [size =\"15110144\"]\n  10 -> 21 [size =\"15110144\"]\n  10 -> 23 [size =\"15110144\"]\n  11 [size=\"51292160\", alpha=\"0.04\", expect_size=\"20516864\"] \n  11 -> 26 [size =\"20516864\"]\n  11 -> 27 [size =\"20516864\"]\n  11 -> 28 [size =\"20516864\"]\n  11 -> 29 [size =\"20516864\"]\n  11 -> 33 [size =\"20516864\"]\n  11 -> 35 [size =\"20516864\"]\n  12 [size=\"45370880\", alpha=\"0.10\", expect_size=\"18148352\"] \n  12 -> 24 [size =\"18148352\"]\n  12 -> 26 [size =\"18148352\"]\n  12 -> 27 [size =\"18148352\"]\n  12 -> 29 [size =\"18148352\"]\n  12 -> 35 [size =\"18148352\"]\n  13 [size=\"41111040\", alpha=\"0.13\", expect_size=\"16444416\"] \n  13 -> 27 [size =\"16444416\"]\n  13 -> 28 [size =\"16444416\"]\n  13 -> 29 [size =\"16444416\"]\n  13 -> 36 [size =\"16444416\"]\n  14 [size=\"17451520\", alpha=\"0.08\", expect_size=\"6980608\"] \n  14 -> 26 [size =\"6980608\"]\n  14 -> 27 [size =\"6980608\"]\n  14 -> 29 [size =\"6980608\"]\n  14 -> 32 [size =\"6980608\"]\n  14 -> 34 [size =\"6980608\"]\n  14 -> 35 [size =\"6980608\"]\n  14 -> 36 [size =\"6980608\"]\n  15 [size=\"66206720\", alpha=\"0.01\", expect_size=\"26482688\"] \n  15 -> 27 [size =\"26482688\"]\n  15 -> 28 [size =\"26482688\"]\n  15 -> 29 [size =\"26482688\"]\n  15 -> 36 [size =\"26482688\"]\n  16 [size=\"111262720\", alpha=\"0.13\", expect_size=\"44505088\"] \n  16 -> 24 [size =\"44505088\"]\n  16 -> 25 [size =\"44505088\"]\n  16 -> 26 [size =\"44505088\"]\n  16 -> 36 [size =\"44505088\"]\n  17 [size=\"73157120\", alpha=\"0.05\", expect_size=\"29262848\"] \n  17 -> 31 [size =\"29262848\"]\n  18 [size=\"93370880\", alpha=\"0.10\", expect_size=\"37348352\"] \n  18 -> 31 [size =\"37348352\"]\n  18 -> 35 [size =\"37348352\"]\n  19 [size=\"45542400\", alpha=\"0.12\", expect_size=\"18216960\"] \n  19 -> 25 [size =\"18216960\"]\n  19 -> 29 [size =\"18216960\"]\n  19 -> 31 [size =\"18216960\"]\n  20 [size=\"23063040\", alpha=\"0.05\", expect_size=\"9225216\"] \n  20 -> 24 [size =\"9225216\"]\n  20 -> 25 [size =\"9225216\"]\n  20 -> 26 [size =\"9225216\"]\n  20 -> 31 [size =\"9225216\"]\n  20 -> 32 [size =\"9225216\"]\n  21 [size=\"60078080\", alpha=\"0.18\", expect_size=\"24031232\"] \n  21 -> 25 [size =\"24031232\"]\n  21 -> 27 [size =\"24031232\"]\n  21 -> 30 [size =\"24031232\"]\n  21 -> 32 [size =\"24031232\"]\n  21 -> 35 [size =\"24031232\"]\n  22 [size=\"83962880\", alpha=\"0.01\", expect_size=\"33585152\"] \n  22 -> 24 [size =\"33585152\"]\n  22 -> 25 [size =\"33585152\"]\n  22 -> 27 [size =\"33585152\"]\n  22 -> 28 [size =\"33585152\"]\n  22 -> 29 [size =\"33585152\"]\n  22 -> 31 [size =\"33585152\"]\n  22 -> 35 [size =\"33585152\"]\n  23 [size=\"25656320\", alpha=\"0.20\", expect_size=\"10262528\"] \n  23 -> 24 [size =\"10262528\"]\n  23 -> 27 [size =\"10262528\"]\n  23 -> 28 [size =\"10262528\"]\n  23 -> 33 [size =\"10262528\"]\n  23 -> 35 [size =\"10262528\"]\n  23 -> 36 [size =\"10262528\"]\n  24 [size=\"99735040\", alpha=\"0.15\", expect_size=\"39894016\"] \n  24 -> 38 [size =\"39894016\"]\n  25 [size=\"27840000\", alpha=\"0.06\", expect_size=\"11136000\"] \n  25 -> 37 [size =\"11136000\"]\n  26 [size=\"35166720\", alpha=\"0.20\", expect_size=\"14066688\"] \n  27 [size=\"110912000\", alpha=\"0.14\", expect_size=\"44364800\"] \n  27 -> 38 [size =\"44364800\"]\n  28 [size=\"19801600\", alpha=\"0.01\", expect_size=\"7920640\"] \n  29 [size=\"78658560\", alpha=\"0.10\", expect_size=\"31463424\"] \n  29 -> 40 [size =\"31463424\"]\n  30 [size=\"29102080\", alpha=\"0.02\", expect_size=\"11640832\"] \n  30 -> 37 [size =\"11640832\"]\n  30 -> 39 [size =\"11640832\"]\n  31 [size=\"56371200\", alpha=\"0.01\", expect_size=\"22548480\"] \n  31 -> 37 [size =\"22548480\"]\n  31 -> 39 [size =\"22548480\"]\n  32 [size=\"45893120\", alpha=\"0.06\", expect_size=\"18357248\"] \n  32 -> 37 [size =\"18357248\"]\n  33 [size=\"49579520\", alpha=\"0.15\", expect_size=\"19831808\"] \n  34 [size=\"49308160\", alpha=\"0.05\", expect_size=\"19723264\"] \n  34 -> 39 [size =\"19723264\"]\n  35 [size=\"21936640\", alpha=\"0.04\", expect_size=\"8774656\"] \n  36 [size=\"59829760\", alpha=\"0.20\", expect_size=\"23931904\"] \n  36 -> 38 [size =\"23931904\"]\n  36 -> 40 [size =\"23931904\"]\n  37 [size=\"59217920\", alpha=\"0.06\", expect_size=\"23687168\"] \n  38 [size=\"21173760\", alpha=\"0.05\", expect_size=\"8469504\"] \n  39 [size=\"28295680\", alpha=\"0.10\", expect_size=\"11318272\"] \n  40 [size=\"85122560\", alpha=\"0.17\", expect_size=\"34049024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34115584\", alpha=\"0.07\", expect_size=\"17057792\"] \n  1 -> 17 [size =\"17057792\"]\n  1 -> 18 [size =\"17057792\"]\n  1 -> 20 [size =\"17057792\"]\n  1 -> 23 [size =\"17057792\"]\n  1 -> 24 [size =\"17057792\"]\n  1 -> 28 [size =\"17057792\"]\n  1 -> 30 [size =\"17057792\"]\n  2 [size=\"26230784\", alpha=\"0.18\", expect_size=\"13115392\"] \n  2 -> 18 [size =\"13115392\"]\n  2 -> 20 [size =\"13115392\"]\n  2 -> 26 [size =\"13115392\"]\n  2 -> 27 [size =\"13115392\"]\n  2 -> 28 [size =\"13115392\"]\n  2 -> 30 [size =\"13115392\"]\n  3 [size=\"22530048\", alpha=\"0.09\", expect_size=\"11265024\"] \n  3 -> 18 [size =\"11265024\"]\n  3 -> 20 [size =\"11265024\"]\n  3 -> 24 [size =\"11265024\"]\n  4 [size=\"66721792\", alpha=\"0.15\", expect_size=\"33360896\"] \n  4 -> 18 [size =\"33360896\"]\n  4 -> 20 [size =\"33360896\"]\n  4 -> 21 [size =\"33360896\"]\n  4 -> 23 [size =\"33360896\"]\n  4 -> 25 [size =\"33360896\"]\n  4 -> 27 [size =\"33360896\"]\n  4 -> 31 [size =\"33360896\"]\n  5 [size=\"41234432\", alpha=\"0.04\", expect_size=\"20617216\"] \n  5 -> 16 [size =\"20617216\"]\n  5 -> 18 [size =\"20617216\"]\n  5 -> 21 [size =\"20617216\"]\n  5 -> 23 [size =\"20617216\"]\n  5 -> 24 [size =\"20617216\"]\n  5 -> 25 [size =\"20617216\"]\n  5 -> 28 [size =\"20617216\"]\n  5 -> 30 [size =\"20617216\"]\n  5 -> 31 [size =\"20617216\"]\n  6 [size=\"35135488\", alpha=\"0.15\", expect_size=\"17567744\"] \n  6 -> 20 [size =\"17567744\"]\n  6 -> 21 [size =\"17567744\"]\n  6 -> 24 [size =\"17567744\"]\n  6 -> 25 [size =\"17567744\"]\n  6 -> 31 [size =\"17567744\"]\n  7 [size=\"83892224\", alpha=\"0.07\", expect_size=\"41946112\"] \n  7 -> 20 [size =\"41946112\"]\n  7 -> 21 [size =\"41946112\"]\n  7 -> 23 [size =\"41946112\"]\n  7 -> 24 [size =\"41946112\"]\n  7 -> 31 [size =\"41946112\"]\n  8 [size=\"69244928\", alpha=\"0.14\", expect_size=\"34622464\"] \n  8 -> 16 [size =\"34622464\"]\n  8 -> 21 [size =\"34622464\"]\n  8 -> 22 [size =\"34622464\"]\n  8 -> 29 [size =\"34622464\"]\n  9 [size=\"102727680\", alpha=\"0.14\", expect_size=\"51363840\"] \n  9 -> 17 [size =\"51363840\"]\n  9 -> 21 [size =\"51363840\"]\n  9 -> 23 [size =\"51363840\"]\n  9 -> 27 [size =\"51363840\"]\n  9 -> 28 [size =\"51363840\"]\n  9 -> 30 [size =\"51363840\"]\n  9 -> 31 [size =\"51363840\"]\n  10 [size=\"13625344\", alpha=\"0.12\", expect_size=\"6812672\"] \n  10 -> 16 [size =\"6812672\"]\n  10 -> 17 [size =\"6812672\"]\n  10 -> 20 [size =\"6812672\"]\n  10 -> 22 [size =\"6812672\"]\n  10 -> 25 [size =\"6812672\"]\n  10 -> 26 [size =\"6812672\"]\n  10 -> 28 [size =\"6812672\"]\n  10 -> 29 [size =\"6812672\"]\n  10 -> 31 [size =\"6812672\"]\n  11 [size=\"23971840\", alpha=\"0.20\", expect_size=\"11985920\"] \n  11 -> 16 [size =\"11985920\"]\n  11 -> 21 [size =\"11985920\"]\n  11 -> 22 [size =\"11985920\"]\n  11 -> 27 [size =\"11985920\"]\n  11 -> 28 [size =\"11985920\"]\n  11 -> 31 [size =\"11985920\"]\n  12 [size=\"55158784\", alpha=\"0.10\", expect_size=\"27579392\"] \n  12 -> 16 [size =\"27579392\"]\n  12 -> 17 [size =\"27579392\"]\n  12 -> 20 [size =\"27579392\"]\n  12 -> 21 [size =\"27579392\"]\n  12 -> 23 [size =\"27579392\"]\n  12 -> 27 [size =\"27579392\"]\n  12 -> 28 [size =\"27579392\"]\n  12 -> 30 [size =\"27579392\"]\n  13 [size=\"47097856\", alpha=\"0.08\", expect_size=\"23548928\"] \n  13 -> 20 [size =\"23548928\"]\n  13 -> 21 [size =\"23548928\"]\n  13 -> 22 [size =\"23548928\"]\n  13 -> 25 [size =\"23548928\"]\n  13 -> 27 [size =\"23548928\"]\n  13 -> 28 [size =\"23548928\"]\n  13 -> 28 [size =\"23548928\"]\n  13 -> 31 [size =\"23548928\"]\n  14 [size=\"89235456\", alpha=\"0.16\", expect_size=\"44617728\"] \n  14 -> 17 [size =\"44617728\"]\n  14 -> 20 [size =\"44617728\"]\n  14 -> 24 [size =\"44617728\"]\n  14 -> 28 [size =\"44617728\"]\n  15 [size=\"65292288\", alpha=\"0.19\", expect_size=\"32646144\"] \n  15 -> 16 [size =\"32646144\"]\n  15 -> 18 [size =\"32646144\"]\n  15 -> 19 [size =\"32646144\"]\n  15 -> 20 [size =\"32646144\"]\n  15 -> 21 [size =\"32646144\"]\n  15 -> 23 [size =\"32646144\"]\n  15 -> 24 [size =\"32646144\"]\n  15 -> 27 [size =\"32646144\"]\n  15 -> 28 [size =\"32646144\"]\n  15 -> 31 [size =\"32646144\"]\n  16 [size=\"84232192\", alpha=\"0.07\", expect_size=\"42116096\"] \n  16 -> 32 [size =\"42116096\"]\n  16 -> 33 [size =\"42116096\"]\n  16 -> 34 [size =\"42116096\"]\n  16 -> 38 [size =\"42116096\"]\n  17 [size=\"58290176\", alpha=\"0.05\", expect_size=\"29145088\"] \n  17 -> 33 [size =\"29145088\"]\n  17 -> 34 [size =\"29145088\"]\n  17 -> 37 [size =\"29145088\"]\n  17 -> 38 [size =\"29145088\"]\n  17 -> 39 [size =\"29145088\"]\n  17 -> 40 [size =\"29145088\"]\n  18 [size=\"89233408\", alpha=\"0.08\", expect_size=\"44616704\"] \n  18 -> 33 [size =\"44616704\"]\n  18 -> 35 [size =\"44616704\"]\n  18 -> 37 [size =\"44616704\"]\n  18 -> 39 [size =\"44616704\"]\n  19 [size=\"60000256\", alpha=\"0.12\", expect_size=\"30000128\"] \n  19 -> 32 [size =\"30000128\"]\n  19 -> 34 [size =\"30000128\"]\n  19 -> 37 [size =\"30000128\"]\n  19 -> 39 [size =\"30000128\"]\n  20 [size=\"32356352\", alpha=\"0.14\", expect_size=\"16178176\"] \n  20 -> 36 [size =\"16178176\"]\n  21 [size=\"89155584\", alpha=\"0.01\", expect_size=\"44577792\"] \n  22 [size=\"88819712\", alpha=\"0.11\", expect_size=\"44409856\"] \n  22 -> 33 [size =\"44409856\"]\n  22 -> 34 [size =\"44409856\"]\n  23 [size=\"43845632\", alpha=\"0.04\", expect_size=\"21922816\"] \n  23 -> 32 [size =\"21922816\"]\n  23 -> 37 [size =\"21922816\"]\n  24 [size=\"80128000\", alpha=\"0.08\", expect_size=\"40064000\"] \n  25 [size=\"59961344\", alpha=\"0.19\", expect_size=\"29980672\"] \n  25 -> 36 [size =\"29980672\"]\n  26 [size=\"52903936\", alpha=\"0.16\", expect_size=\"26451968\"] \n  26 -> 32 [size =\"26451968\"]\n  26 -> 34 [size =\"26451968\"]\n  26 -> 36 [size =\"26451968\"]\n  26 -> 38 [size =\"26451968\"]\n  26 -> 39 [size =\"26451968\"]\n  27 [size=\"86886400\", alpha=\"0.08\", expect_size=\"43443200\"] \n  27 -> 32 [size =\"43443200\"]\n  27 -> 37 [size =\"43443200\"]\n  27 -> 38 [size =\"43443200\"]\n  28 [size=\"17356800\", alpha=\"0.12\", expect_size=\"8678400\"] \n  28 -> 39 [size =\"8678400\"]\n  29 [size=\"55832576\", alpha=\"0.16\", expect_size=\"27916288\"] \n  29 -> 39 [size =\"27916288\"]\n  30 [size=\"19372032\", alpha=\"0.00\", expect_size=\"9686016\"] \n  30 -> 33 [size =\"9686016\"]\n  30 -> 34 [size =\"9686016\"]\n  30 -> 39 [size =\"9686016\"]\n  31 [size=\"85727232\", alpha=\"0.08\", expect_size=\"42863616\"] \n  31 -> 33 [size =\"42863616\"]\n  31 -> 39 [size =\"42863616\"]\n  32 [size=\"89784320\", alpha=\"0.05\", expect_size=\"44892160\"] \n  33 [size=\"47294464\", alpha=\"0.09\", expect_size=\"23647232\"] \n  34 [size=\"64669696\", alpha=\"0.11\", expect_size=\"32334848\"] \n  35 [size=\"103778304\", alpha=\"0.04\", expect_size=\"51889152\"] \n  36 [size=\"100995072\", alpha=\"0.12\", expect_size=\"50497536\"] \n  37 [size=\"80969728\", alpha=\"0.11\", expect_size=\"40484864\"] \n  38 [size=\"22740992\", alpha=\"0.07\", expect_size=\"11370496\"] \n  39 [size=\"79439872\", alpha=\"0.12\", expect_size=\"39719936\"] \n  40 [size=\"60194816\", alpha=\"0.03\", expect_size=\"30097408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79089664\", alpha=\"0.20\", expect_size=\"39544832\"] \n  1 -> 16 [size =\"39544832\"]\n  1 -> 19 [size =\"39544832\"]\n  1 -> 26 [size =\"39544832\"]\n  1 -> 27 [size =\"39544832\"]\n  2 [size=\"39849984\", alpha=\"0.00\", expect_size=\"19924992\"] \n  2 -> 14 [size =\"19924992\"]\n  2 -> 15 [size =\"19924992\"]\n  2 -> 16 [size =\"19924992\"]\n  2 -> 19 [size =\"19924992\"]\n  2 -> 22 [size =\"19924992\"]\n  2 -> 23 [size =\"19924992\"]\n  2 -> 26 [size =\"19924992\"]\n  3 [size=\"15878144\", alpha=\"0.06\", expect_size=\"7939072\"] \n  3 -> 15 [size =\"7939072\"]\n  3 -> 16 [size =\"7939072\"]\n  3 -> 16 [size =\"7939072\"]\n  3 -> 18 [size =\"7939072\"]\n  3 -> 19 [size =\"7939072\"]\n  3 -> 20 [size =\"7939072\"]\n  3 -> 22 [size =\"7939072\"]\n  3 -> 23 [size =\"7939072\"]\n  3 -> 24 [size =\"7939072\"]\n  3 -> 27 [size =\"7939072\"]\n  4 [size=\"44795904\", alpha=\"0.14\", expect_size=\"22397952\"] \n  4 -> 15 [size =\"22397952\"]\n  4 -> 16 [size =\"22397952\"]\n  4 -> 17 [size =\"22397952\"]\n  4 -> 19 [size =\"22397952\"]\n  4 -> 20 [size =\"22397952\"]\n  4 -> 23 [size =\"22397952\"]\n  4 -> 25 [size =\"22397952\"]\n  4 -> 27 [size =\"22397952\"]\n  5 [size=\"38205440\", alpha=\"0.12\", expect_size=\"19102720\"] \n  5 -> 15 [size =\"19102720\"]\n  5 -> 16 [size =\"19102720\"]\n  5 -> 19 [size =\"19102720\"]\n  5 -> 23 [size =\"19102720\"]\n  5 -> 27 [size =\"19102720\"]\n  6 [size=\"16818176\", alpha=\"0.03\", expect_size=\"8409088\"] \n  6 -> 14 [size =\"8409088\"]\n  6 -> 15 [size =\"8409088\"]\n  6 -> 21 [size =\"8409088\"]\n  6 -> 22 [size =\"8409088\"]\n  6 -> 23 [size =\"8409088\"]\n  6 -> 25 [size =\"8409088\"]\n  6 -> 26 [size =\"8409088\"]\n  7 [size=\"73506816\", alpha=\"0.16\", expect_size=\"36753408\"] \n  7 -> 14 [size =\"36753408\"]\n  7 -> 15 [size =\"36753408\"]\n  7 -> 22 [size =\"36753408\"]\n  7 -> 23 [size =\"36753408\"]\n  7 -> 26 [size =\"36753408\"]\n  8 [size=\"55914496\", alpha=\"0.18\", expect_size=\"27957248\"] \n  8 -> 14 [size =\"27957248\"]\n  8 -> 19 [size =\"27957248\"]\n  8 -> 20 [size =\"27957248\"]\n  8 -> 25 [size =\"27957248\"]\n  8 -> 27 [size =\"27957248\"]\n  9 [size=\"16240640\", alpha=\"0.06\", expect_size=\"8120320\"] \n  9 -> 15 [size =\"8120320\"]\n  9 -> 20 [size =\"8120320\"]\n  9 -> 22 [size =\"8120320\"]\n  9 -> 26 [size =\"8120320\"]\n  9 -> 27 [size =\"8120320\"]\n  10 [size=\"20430848\", alpha=\"0.06\", expect_size=\"10215424\"] \n  10 -> 14 [size =\"10215424\"]\n  10 -> 22 [size =\"10215424\"]\n  10 -> 24 [size =\"10215424\"]\n  10 -> 26 [size =\"10215424\"]\n  11 [size=\"78350336\", alpha=\"0.16\", expect_size=\"39175168\"] \n  11 -> 23 [size =\"39175168\"]\n  11 -> 26 [size =\"39175168\"]\n  12 [size=\"78127104\", alpha=\"0.13\", expect_size=\"39063552\"] \n  12 -> 22 [size =\"39063552\"]\n  12 -> 23 [size =\"39063552\"]\n  12 -> 27 [size =\"39063552\"]\n  13 [size=\"79136768\", alpha=\"0.07\", expect_size=\"39568384\"] \n  13 -> 15 [size =\"39568384\"]\n  13 -> 16 [size =\"39568384\"]\n  13 -> 19 [size =\"39568384\"]\n  13 -> 20 [size =\"39568384\"]\n  14 [size=\"14741504\", alpha=\"0.12\", expect_size=\"7370752\"] \n  14 -> 29 [size =\"7370752\"]\n  14 -> 29 [size =\"7370752\"]\n  14 -> 35 [size =\"7370752\"]\n  14 -> 39 [size =\"7370752\"]\n  14 -> 40 [size =\"7370752\"]\n  15 [size=\"82696192\", alpha=\"0.02\", expect_size=\"41348096\"] \n  15 -> 29 [size =\"41348096\"]\n  15 -> 30 [size =\"41348096\"]\n  15 -> 31 [size =\"41348096\"]\n  15 -> 35 [size =\"41348096\"]\n  15 -> 37 [size =\"41348096\"]\n  15 -> 38 [size =\"41348096\"]\n  16 [size=\"43280384\", alpha=\"0.09\", expect_size=\"21640192\"] \n  16 -> 29 [size =\"21640192\"]\n  16 -> 30 [size =\"21640192\"]\n  16 -> 31 [size =\"21640192\"]\n  16 -> 32 [size =\"21640192\"]\n  16 -> 38 [size =\"21640192\"]\n  17 [size=\"59031552\", alpha=\"0.06\", expect_size=\"29515776\"] \n  17 -> 30 [size =\"29515776\"]\n  17 -> 31 [size =\"29515776\"]\n  17 -> 35 [size =\"29515776\"]\n  17 -> 38 [size =\"29515776\"]\n  17 -> 40 [size =\"29515776\"]\n  18 [size=\"38381568\", alpha=\"0.17\", expect_size=\"19190784\"] \n  18 -> 30 [size =\"19190784\"]\n  18 -> 31 [size =\"19190784\"]\n  18 -> 32 [size =\"19190784\"]\n  18 -> 33 [size =\"19190784\"]\n  18 -> 35 [size =\"19190784\"]\n  18 -> 37 [size =\"19190784\"]\n  18 -> 39 [size =\"19190784\"]\n  18 -> 40 [size =\"19190784\"]\n  19 [size=\"30167040\", alpha=\"0.13\", expect_size=\"15083520\"] \n  19 -> 30 [size =\"15083520\"]\n  19 -> 31 [size =\"15083520\"]\n  19 -> 35 [size =\"15083520\"]\n  19 -> 38 [size =\"15083520\"]\n  19 -> 40 [size =\"15083520\"]\n  20 [size=\"60405760\", alpha=\"0.01\", expect_size=\"30202880\"] \n  20 -> 28 [size =\"30202880\"]\n  20 -> 30 [size =\"30202880\"]\n  20 -> 32 [size =\"30202880\"]\n  20 -> 38 [size =\"30202880\"]\n  20 -> 40 [size =\"30202880\"]\n  21 [size=\"86601728\", alpha=\"0.04\", expect_size=\"43300864\"] \n  21 -> 30 [size =\"43300864\"]\n  21 -> 30 [size =\"43300864\"]\n  21 -> 32 [size =\"43300864\"]\n  22 [size=\"67713024\", alpha=\"0.13\", expect_size=\"33856512\"] \n  22 -> 32 [size =\"33856512\"]\n  22 -> 36 [size =\"33856512\"]\n  23 [size=\"33193984\", alpha=\"0.04\", expect_size=\"16596992\"] \n  23 -> 31 [size =\"16596992\"]\n  23 -> 35 [size =\"16596992\"]\n  24 [size=\"65529856\", alpha=\"0.01\", expect_size=\"32764928\"] \n  24 -> 36 [size =\"32764928\"]\n  24 -> 38 [size =\"32764928\"]\n  25 [size=\"27238400\", alpha=\"0.05\", expect_size=\"13619200\"] \n  25 -> 28 [size =\"13619200\"]\n  25 -> 29 [size =\"13619200\"]\n  25 -> 31 [size =\"13619200\"]\n  25 -> 36 [size =\"13619200\"]\n  25 -> 37 [size =\"13619200\"]\n  25 -> 38 [size =\"13619200\"]\n  25 -> 40 [size =\"13619200\"]\n  26 [size=\"34996224\", alpha=\"0.10\", expect_size=\"17498112\"] \n  26 -> 31 [size =\"17498112\"]\n  26 -> 34 [size =\"17498112\"]\n  26 -> 40 [size =\"17498112\"]\n  27 [size=\"75962368\", alpha=\"0.08\", expect_size=\"37981184\"] \n  27 -> 28 [size =\"37981184\"]\n  27 -> 29 [size =\"37981184\"]\n  27 -> 37 [size =\"37981184\"]\n  28 [size=\"103251968\", alpha=\"0.16\", expect_size=\"51625984\"] \n  29 [size=\"87830528\", alpha=\"0.05\", expect_size=\"43915264\"] \n  30 [size=\"54046720\", alpha=\"0.16\", expect_size=\"27023360\"] \n  31 [size=\"59953152\", alpha=\"0.01\", expect_size=\"29976576\"] \n  32 [size=\"79779840\", alpha=\"0.01\", expect_size=\"39889920\"] \n  33 [size=\"48523264\", alpha=\"0.15\", expect_size=\"24261632\"] \n  34 [size=\"65949696\", alpha=\"0.11\", expect_size=\"32974848\"] \n  35 [size=\"71995392\", alpha=\"0.01\", expect_size=\"35997696\"] \n  36 [size=\"94384128\", alpha=\"0.19\", expect_size=\"47192064\"] \n  37 [size=\"45074432\", alpha=\"0.07\", expect_size=\"22537216\"] \n  38 [size=\"81463296\", alpha=\"0.00\", expect_size=\"40731648\"] \n  39 [size=\"60233728\", alpha=\"0.18\", expect_size=\"30116864\"] \n  40 [size=\"81514496\", alpha=\"0.07\", expect_size=\"40757248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:49 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70127616\", alpha=\"0.12\", expect_size=\"35063808\"] \n  1 -> 2 [size =\"35063808\"]\n  2 [size=\"14610432\", alpha=\"0.07\", expect_size=\"7305216\"] \n  2 -> 3 [size =\"7305216\"]\n  3 [size=\"86419456\", alpha=\"0.12\", expect_size=\"43209728\"] \n  3 -> 4 [size =\"43209728\"]\n  4 [size=\"102148096\", alpha=\"0.10\", expect_size=\"51074048\"] \n  4 -> 5 [size =\"51074048\"]\n  5 [size=\"93571072\", alpha=\"0.02\", expect_size=\"46785536\"] \n  5 -> 6 [size =\"46785536\"]\n  6 [size=\"103864320\", alpha=\"0.05\", expect_size=\"51932160\"] \n  6 -> 7 [size =\"51932160\"]\n  7 [size=\"94509056\", alpha=\"0.02\", expect_size=\"47254528\"] \n  7 -> 8 [size =\"47254528\"]\n  8 [size=\"28809216\", alpha=\"0.14\", expect_size=\"14404608\"] \n  8 -> 9 [size =\"14404608\"]\n  9 [size=\"31250432\", alpha=\"0.01\", expect_size=\"15625216\"] \n  9 -> 10 [size =\"15625216\"]\n  10 [size=\"12972032\", alpha=\"0.11\", expect_size=\"6486016\"] \n  10 -> 11 [size =\"6486016\"]\n  11 [size=\"92405760\", alpha=\"0.18\", expect_size=\"46202880\"] \n  11 -> 12 [size =\"46202880\"]\n  12 [size=\"56881152\", alpha=\"0.06\", expect_size=\"28440576\"] \n  12 -> 13 [size =\"28440576\"]\n  13 [size=\"91486208\", alpha=\"0.14\", expect_size=\"45743104\"] \n  13 -> 14 [size =\"45743104\"]\n  14 [size=\"54859776\", alpha=\"0.18\", expect_size=\"27429888\"] \n  14 -> 15 [size =\"27429888\"]\n  15 [size=\"102098944\", alpha=\"0.18\", expect_size=\"51049472\"] \n  15 -> 16 [size =\"51049472\"]\n  16 [size=\"16488448\", alpha=\"0.01\", expect_size=\"8244224\"] \n  16 -> 17 [size =\"8244224\"]\n  17 [size=\"38076416\", alpha=\"0.12\", expect_size=\"19038208\"] \n  17 -> 18 [size =\"19038208\"]\n  18 [size=\"46981120\", alpha=\"0.14\", expect_size=\"23490560\"] \n  18 -> 19 [size =\"23490560\"]\n  19 [size=\"17397760\", alpha=\"0.05\", expect_size=\"8698880\"] \n  19 -> 20 [size =\"8698880\"]\n  20 [size=\"21936128\", alpha=\"0.01\", expect_size=\"10968064\"] \n  20 -> 21 [size =\"10968064\"]\n  21 [size=\"72398848\", alpha=\"0.11\", expect_size=\"36199424\"] \n  21 -> 22 [size =\"36199424\"]\n  22 [size=\"64002048\", alpha=\"0.01\", expect_size=\"32001024\"] \n  22 -> 23 [size =\"32001024\"]\n  23 [size=\"92729344\", alpha=\"0.08\", expect_size=\"46364672\"] \n  23 -> 24 [size =\"46364672\"]\n  24 [size=\"65742848\", alpha=\"0.14\", expect_size=\"32871424\"] \n  24 -> 25 [size =\"32871424\"]\n  25 [size=\"56240128\", alpha=\"0.17\", expect_size=\"28120064\"] \n  25 -> 26 [size =\"28120064\"]\n  26 [size=\"48123904\", alpha=\"0.00\", expect_size=\"24061952\"] \n  26 -> 27 [size =\"24061952\"]\n  27 [size=\"53481472\", alpha=\"0.01\", expect_size=\"26740736\"] \n  27 -> 28 [size =\"26740736\"]\n  28 [size=\"17694720\", alpha=\"0.06\", expect_size=\"8847360\"] \n  28 -> 29 [size =\"8847360\"]\n  29 [size=\"84946944\", alpha=\"0.16\", expect_size=\"42473472\"] \n  29 -> 30 [size =\"42473472\"]\n  30 [size=\"12326912\", alpha=\"0.06\", expect_size=\"6163456\"] \n  30 -> 31 [size =\"6163456\"]\n  31 [size=\"19156992\", alpha=\"0.13\", expect_size=\"9578496\"] \n  31 -> 32 [size =\"9578496\"]\n  32 [size=\"70707200\", alpha=\"0.10\", expect_size=\"35353600\"] \n  32 -> 33 [size =\"35353600\"]\n  33 [size=\"76730368\", alpha=\"0.04\", expect_size=\"38365184\"] \n  33 -> 34 [size =\"38365184\"]\n  34 [size=\"18792448\", alpha=\"0.08\", expect_size=\"9396224\"] \n  34 -> 35 [size =\"9396224\"]\n  35 [size=\"82925568\", alpha=\"0.11\", expect_size=\"41462784\"] \n  35 -> 36 [size =\"41462784\"]\n  36 [size=\"69105664\", alpha=\"0.15\", expect_size=\"34552832\"] \n  36 -> 37 [size =\"34552832\"]\n  37 [size=\"70707200\", alpha=\"0.05\", expect_size=\"35353600\"] \n  37 -> 38 [size =\"35353600\"]\n  38 [size=\"77385728\", alpha=\"0.03\", expect_size=\"38692864\"] \n  38 -> 39 [size =\"38692864\"]\n  39 [size=\"13092864\", alpha=\"0.03\", expect_size=\"6546432\"] \n  39 -> 40 [size =\"6546432\"]\n  40 [size=\"87336960\", alpha=\"0.05\", expect_size=\"43668480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17108992\", alpha=\"0.20\", expect_size=\"8554496\"] \n  1 -> 17 [size =\"8554496\"]\n  1 -> 18 [size =\"8554496\"]\n  1 -> 22 [size =\"8554496\"]\n  1 -> 23 [size =\"8554496\"]\n  1 -> 26 [size =\"8554496\"]\n  2 [size=\"11323392\", alpha=\"0.11\", expect_size=\"5661696\"] \n  2 -> 17 [size =\"5661696\"]\n  2 -> 18 [size =\"5661696\"]\n  2 -> 21 [size =\"5661696\"]\n  2 -> 26 [size =\"5661696\"]\n  3 [size=\"97007616\", alpha=\"0.12\", expect_size=\"48503808\"] \n  3 -> 15 [size =\"48503808\"]\n  3 -> 16 [size =\"48503808\"]\n  3 -> 19 [size =\"48503808\"]\n  3 -> 24 [size =\"48503808\"]\n  3 -> 25 [size =\"48503808\"]\n  4 [size=\"73826304\", alpha=\"0.03\", expect_size=\"36913152\"] \n  4 -> 15 [size =\"36913152\"]\n  4 -> 17 [size =\"36913152\"]\n  4 -> 18 [size =\"36913152\"]\n  4 -> 19 [size =\"36913152\"]\n  5 [size=\"16146432\", alpha=\"0.15\", expect_size=\"8073216\"] \n  5 -> 15 [size =\"8073216\"]\n  5 -> 17 [size =\"8073216\"]\n  5 -> 18 [size =\"8073216\"]\n  5 -> 19 [size =\"8073216\"]\n  5 -> 25 [size =\"8073216\"]\n  6 [size=\"82231296\", alpha=\"0.16\", expect_size=\"41115648\"] \n  6 -> 16 [size =\"41115648\"]\n  6 -> 25 [size =\"41115648\"]\n  6 -> 26 [size =\"41115648\"]\n  7 [size=\"98932736\", alpha=\"0.16\", expect_size=\"49466368\"] \n  7 -> 21 [size =\"49466368\"]\n  8 [size=\"16670720\", alpha=\"0.20\", expect_size=\"8335360\"] \n  8 -> 16 [size =\"8335360\"]\n  8 -> 17 [size =\"8335360\"]\n  8 -> 18 [size =\"8335360\"]\n  8 -> 24 [size =\"8335360\"]\n  8 -> 26 [size =\"8335360\"]\n  9 [size=\"76417024\", alpha=\"0.03\", expect_size=\"38208512\"] \n  9 -> 15 [size =\"38208512\"]\n  9 -> 16 [size =\"38208512\"]\n  9 -> 17 [size =\"38208512\"]\n  9 -> 21 [size =\"38208512\"]\n  9 -> 22 [size =\"38208512\"]\n  9 -> 24 [size =\"38208512\"]\n  9 -> 25 [size =\"38208512\"]\n  10 [size=\"46393344\", alpha=\"0.15\", expect_size=\"23196672\"] \n  10 -> 15 [size =\"23196672\"]\n  10 -> 16 [size =\"23196672\"]\n  10 -> 17 [size =\"23196672\"]\n  10 -> 19 [size =\"23196672\"]\n  10 -> 20 [size =\"23196672\"]\n  10 -> 21 [size =\"23196672\"]\n  11 [size=\"80236544\", alpha=\"0.14\", expect_size=\"40118272\"] \n  11 -> 15 [size =\"40118272\"]\n  11 -> 16 [size =\"40118272\"]\n  11 -> 18 [size =\"40118272\"]\n  11 -> 19 [size =\"40118272\"]\n  11 -> 21 [size =\"40118272\"]\n  11 -> 24 [size =\"40118272\"]\n  11 -> 26 [size =\"40118272\"]\n  12 [size=\"78448640\", alpha=\"0.03\", expect_size=\"39224320\"] \n  12 -> 15 [size =\"39224320\"]\n  12 -> 17 [size =\"39224320\"]\n  12 -> 18 [size =\"39224320\"]\n  12 -> 21 [size =\"39224320\"]\n  12 -> 22 [size =\"39224320\"]\n  12 -> 24 [size =\"39224320\"]\n  12 -> 25 [size =\"39224320\"]\n  12 -> 26 [size =\"39224320\"]\n  13 [size=\"37093376\", alpha=\"0.09\", expect_size=\"18546688\"] \n  13 -> 15 [size =\"18546688\"]\n  13 -> 16 [size =\"18546688\"]\n  13 -> 18 [size =\"18546688\"]\n  13 -> 19 [size =\"18546688\"]\n  14 [size=\"95148032\", alpha=\"0.03\", expect_size=\"47574016\"] \n  14 -> 15 [size =\"47574016\"]\n  14 -> 16 [size =\"47574016\"]\n  14 -> 17 [size =\"47574016\"]\n  14 -> 18 [size =\"47574016\"]\n  14 -> 19 [size =\"47574016\"]\n  14 -> 24 [size =\"47574016\"]\n  14 -> 26 [size =\"47574016\"]\n  15 [size=\"13891584\", alpha=\"0.13\", expect_size=\"6945792\"] \n  15 -> 28 [size =\"6945792\"]\n  15 -> 37 [size =\"6945792\"]\n  15 -> 38 [size =\"6945792\"]\n  15 -> 39 [size =\"6945792\"]\n  16 [size=\"84203520\", alpha=\"0.05\", expect_size=\"42101760\"] \n  16 -> 29 [size =\"42101760\"]\n  16 -> 32 [size =\"42101760\"]\n  16 -> 34 [size =\"42101760\"]\n  16 -> 35 [size =\"42101760\"]\n  16 -> 38 [size =\"42101760\"]\n  17 [size=\"67207168\", alpha=\"0.09\", expect_size=\"33603584\"] \n  17 -> 34 [size =\"33603584\"]\n  17 -> 39 [size =\"33603584\"]\n  18 [size=\"47867904\", alpha=\"0.15\", expect_size=\"23933952\"] \n  18 -> 32 [size =\"23933952\"]\n  18 -> 34 [size =\"23933952\"]\n  18 -> 35 [size =\"23933952\"]\n  18 -> 37 [size =\"23933952\"]\n  18 -> 39 [size =\"23933952\"]\n  19 [size=\"46299136\", alpha=\"0.11\", expect_size=\"23149568\"] \n  19 -> 29 [size =\"23149568\"]\n  19 -> 30 [size =\"23149568\"]\n  19 -> 32 [size =\"23149568\"]\n  19 -> 33 [size =\"23149568\"]\n  19 -> 35 [size =\"23149568\"]\n  19 -> 36 [size =\"23149568\"]\n  19 -> 37 [size =\"23149568\"]\n  19 -> 38 [size =\"23149568\"]\n  19 -> 39 [size =\"23149568\"]\n  20 [size=\"60110848\", alpha=\"0.16\", expect_size=\"30055424\"] \n  20 -> 27 [size =\"30055424\"]\n  20 -> 29 [size =\"30055424\"]\n  20 -> 32 [size =\"30055424\"]\n  20 -> 33 [size =\"30055424\"]\n  20 -> 34 [size =\"30055424\"]\n  20 -> 35 [size =\"30055424\"]\n  20 -> 36 [size =\"30055424\"]\n  20 -> 37 [size =\"30055424\"]\n  20 -> 38 [size =\"30055424\"]\n  21 [size=\"38807552\", alpha=\"0.02\", expect_size=\"19403776\"] \n  21 -> 27 [size =\"19403776\"]\n  21 -> 29 [size =\"19403776\"]\n  21 -> 32 [size =\"19403776\"]\n  21 -> 34 [size =\"19403776\"]\n  21 -> 36 [size =\"19403776\"]\n  21 -> 39 [size =\"19403776\"]\n  22 [size=\"11878400\", alpha=\"0.09\", expect_size=\"5939200\"] \n  22 -> 31 [size =\"5939200\"]\n  22 -> 34 [size =\"5939200\"]\n  22 -> 36 [size =\"5939200\"]\n  22 -> 37 [size =\"5939200\"]\n  22 -> 39 [size =\"5939200\"]\n  23 [size=\"27295744\", alpha=\"0.14\", expect_size=\"13647872\"] \n  23 -> 35 [size =\"13647872\"]\n  23 -> 37 [size =\"13647872\"]\n  23 -> 38 [size =\"13647872\"]\n  23 -> 39 [size =\"13647872\"]\n  24 [size=\"67612672\", alpha=\"0.13\", expect_size=\"33806336\"] \n  24 -> 27 [size =\"33806336\"]\n  24 -> 29 [size =\"33806336\"]\n  24 -> 37 [size =\"33806336\"]\n  24 -> 38 [size =\"33806336\"]\n  25 [size=\"80885760\", alpha=\"0.13\", expect_size=\"40442880\"] \n  25 -> 29 [size =\"40442880\"]\n  25 -> 29 [size =\"40442880\"]\n  25 -> 30 [size =\"40442880\"]\n  25 -> 32 [size =\"40442880\"]\n  25 -> 34 [size =\"40442880\"]\n  25 -> 36 [size =\"40442880\"]\n  25 -> 38 [size =\"40442880\"]\n  26 [size=\"50067456\", alpha=\"0.08\", expect_size=\"25033728\"] \n  26 -> 27 [size =\"25033728\"]\n  26 -> 29 [size =\"25033728\"]\n  26 -> 33 [size =\"25033728\"]\n  26 -> 34 [size =\"25033728\"]\n  27 [size=\"75831296\", alpha=\"0.02\", expect_size=\"37915648\"] \n  27 -> 40 [size =\"37915648\"]\n  28 [size=\"25960448\", alpha=\"0.17\", expect_size=\"12980224\"] \n  28 -> 40 [size =\"12980224\"]\n  29 [size=\"94715904\", alpha=\"0.06\", expect_size=\"47357952\"] \n  30 [size=\"50014208\", alpha=\"0.02\", expect_size=\"25007104\"] \n  31 [size=\"30072832\", alpha=\"0.14\", expect_size=\"15036416\"] \n  32 [size=\"41517056\", alpha=\"0.19\", expect_size=\"20758528\"] \n  33 [size=\"85186560\", alpha=\"0.11\", expect_size=\"42593280\"] \n  33 -> 40 [size =\"42593280\"]\n  34 [size=\"58855424\", alpha=\"0.00\", expect_size=\"29427712\"] \n  34 -> 40 [size =\"29427712\"]\n  35 [size=\"25870336\", alpha=\"0.10\", expect_size=\"12935168\"] \n  35 -> 40 [size =\"12935168\"]\n  36 [size=\"86263808\", alpha=\"0.16\", expect_size=\"43131904\"] \n  36 -> 40 [size =\"43131904\"]\n  37 [size=\"28665856\", alpha=\"0.14\", expect_size=\"14332928\"] \n  37 -> 40 [size =\"14332928\"]\n  38 [size=\"35897344\", alpha=\"0.20\", expect_size=\"17948672\"] \n  38 -> 40 [size =\"17948672\"]\n  39 [size=\"19769344\", alpha=\"0.13\", expect_size=\"9884672\"] \n  39 -> 40 [size =\"9884672\"]\n  40 [size=\"46217216\", alpha=\"0.17\", expect_size=\"23108608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16128000\", alpha=\"0.19\", expect_size=\"8064000\"] \n  1 -> 6 [size =\"8064000\"]\n  1 -> 7 [size =\"8064000\"]\n  2 [size=\"18792448\", alpha=\"0.16\", expect_size=\"9396224\"] \n  2 -> 7 [size =\"9396224\"]\n  2 -> 9 [size =\"9396224\"]\n  3 [size=\"29126656\", alpha=\"0.19\", expect_size=\"14563328\"] \n  3 -> 7 [size =\"14563328\"]\n  3 -> 10 [size =\"14563328\"]\n  4 [size=\"16406528\", alpha=\"0.02\", expect_size=\"8203264\"] \n  4 -> 6 [size =\"8203264\"]\n  5 [size=\"80932864\", alpha=\"0.07\", expect_size=\"40466432\"] \n  5 -> 6 [size =\"40466432\"]\n  5 -> 8 [size =\"40466432\"]\n  6 [size=\"52373504\", alpha=\"0.01\", expect_size=\"26186752\"] \n  6 -> 12 [size =\"26186752\"]\n  6 -> 15 [size =\"26186752\"]\n  7 [size=\"27537408\", alpha=\"0.08\", expect_size=\"13768704\"] \n  7 -> 14 [size =\"13768704\"]\n  7 -> 15 [size =\"13768704\"]\n  8 [size=\"98334720\", alpha=\"0.16\", expect_size=\"49167360\"] \n  8 -> 14 [size =\"49167360\"]\n  9 [size=\"31541248\", alpha=\"0.06\", expect_size=\"15770624\"] \n  9 -> 11 [size =\"15770624\"]\n  9 -> 13 [size =\"15770624\"]\n  9 -> 14 [size =\"15770624\"]\n  9 -> 15 [size =\"15770624\"]\n  10 [size=\"73058304\", alpha=\"0.10\", expect_size=\"36529152\"] \n  10 -> 13 [size =\"36529152\"]\n  11 [size=\"35387392\", alpha=\"0.14\", expect_size=\"17693696\"] \n  11 -> 16 [size =\"17693696\"]\n  11 -> 18 [size =\"17693696\"]\n  11 -> 19 [size =\"17693696\"]\n  12 [size=\"29521920\", alpha=\"0.13\", expect_size=\"14760960\"] \n  12 -> 16 [size =\"14760960\"]\n  12 -> 17 [size =\"14760960\"]\n  12 -> 18 [size =\"14760960\"]\n  13 [size=\"102844416\", alpha=\"0.04\", expect_size=\"51422208\"] \n  13 -> 16 [size =\"51422208\"]\n  13 -> 17 [size =\"51422208\"]\n  14 [size=\"95819776\", alpha=\"0.06\", expect_size=\"47909888\"] \n  14 -> 17 [size =\"47909888\"]\n  15 [size=\"103968768\", alpha=\"0.15\", expect_size=\"51984384\"] \n  15 -> 20 [size =\"51984384\"]\n  16 [size=\"42176512\", alpha=\"0.20\", expect_size=\"21088256\"] \n  16 -> 23 [size =\"21088256\"]\n  17 [size=\"44664832\", alpha=\"0.07\", expect_size=\"22332416\"] \n  17 -> 25 [size =\"22332416\"]\n  18 [size=\"81049600\", alpha=\"0.05\", expect_size=\"40524800\"] \n  18 -> 21 [size =\"40524800\"]\n  19 [size=\"60622848\", alpha=\"0.07\", expect_size=\"30311424\"] \n  19 -> 25 [size =\"30311424\"]\n  20 [size=\"87187456\", alpha=\"0.17\", expect_size=\"43593728\"] \n  20 -> 22 [size =\"43593728\"]\n  20 -> 24 [size =\"43593728\"]\n  21 [size=\"38434816\", alpha=\"0.08\", expect_size=\"19217408\"] \n  21 -> 28 [size =\"19217408\"]\n  21 -> 30 [size =\"19217408\"]\n  22 [size=\"11345920\", alpha=\"0.00\", expect_size=\"5672960\"] \n  23 [size=\"70686720\", alpha=\"0.17\", expect_size=\"35343360\"] \n  23 -> 27 [size =\"35343360\"]\n  23 -> 30 [size =\"35343360\"]\n  24 [size=\"88113152\", alpha=\"0.15\", expect_size=\"44056576\"] \n  24 -> 26 [size =\"44056576\"]\n  24 -> 27 [size =\"44056576\"]\n  24 -> 29 [size =\"44056576\"]\n  25 [size=\"23312384\", alpha=\"0.08\", expect_size=\"11656192\"] \n  25 -> 29 [size =\"11656192\"]\n  26 [size=\"93003776\", alpha=\"0.09\", expect_size=\"46501888\"] \n  26 -> 33 [size =\"46501888\"]\n  27 [size=\"91973632\", alpha=\"0.15\", expect_size=\"45986816\"] \n  27 -> 31 [size =\"45986816\"]\n  27 -> 35 [size =\"45986816\"]\n  28 [size=\"31518720\", alpha=\"0.19\", expect_size=\"15759360\"] \n  28 -> 31 [size =\"15759360\"]\n  28 -> 34 [size =\"15759360\"]\n  29 [size=\"53534720\", alpha=\"0.07\", expect_size=\"26767360\"] \n  29 -> 34 [size =\"26767360\"]\n  29 -> 35 [size =\"26767360\"]\n  30 [size=\"85628928\", alpha=\"0.09\", expect_size=\"42814464\"] \n  30 -> 32 [size =\"42814464\"]\n  31 [size=\"69462016\", alpha=\"0.16\", expect_size=\"34731008\"] \n  31 -> 36 [size =\"34731008\"]\n  31 -> 39 [size =\"34731008\"]\n  32 [size=\"10678272\", alpha=\"0.07\", expect_size=\"5339136\"] \n  32 -> 37 [size =\"5339136\"]\n  33 [size=\"11954176\", alpha=\"0.18\", expect_size=\"5977088\"] \n  33 -> 37 [size =\"5977088\"]\n  33 -> 38 [size =\"5977088\"]\n  33 -> 40 [size =\"5977088\"]\n  34 [size=\"91936768\", alpha=\"0.06\", expect_size=\"45968384\"] \n  35 [size=\"67801088\", alpha=\"0.15\", expect_size=\"33900544\"] \n  36 [size=\"104368128\", alpha=\"0.10\", expect_size=\"52184064\"] \n  37 [size=\"54781952\", alpha=\"0.12\", expect_size=\"27390976\"] \n  38 [size=\"30470144\", alpha=\"0.10\", expect_size=\"15235072\"] \n  39 [size=\"24909824\", alpha=\"0.18\", expect_size=\"12454912\"] \n  40 [size=\"59158528\", alpha=\"0.02\", expect_size=\"29579264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70287360\", alpha=\"0.06\", expect_size=\"21086208\"] \n  1 -> 32 [size =\"21086208\"]\n  1 -> 33 [size =\"21086208\"]\n  1 -> 37 [size =\"21086208\"]\n  1 -> 40 [size =\"21086208\"]\n  2 [size=\"146551467\", alpha=\"0.04\", expect_size=\"43965440\"] \n  2 -> 32 [size =\"43965440\"]\n  2 -> 33 [size =\"43965440\"]\n  2 -> 39 [size =\"43965440\"]\n  3 [size=\"122432853\", alpha=\"0.09\", expect_size=\"36729856\"] \n  3 -> 30 [size =\"36729856\"]\n  3 -> 32 [size =\"36729856\"]\n  3 -> 33 [size =\"36729856\"]\n  3 -> 34 [size =\"36729856\"]\n  3 -> 36 [size =\"36729856\"]\n  3 -> 37 [size =\"36729856\"]\n  3 -> 40 [size =\"36729856\"]\n  4 [size=\"160232107\", alpha=\"0.17\", expect_size=\"48069632\"] \n  4 -> 29 [size =\"48069632\"]\n  4 -> 30 [size =\"48069632\"]\n  4 -> 32 [size =\"48069632\"]\n  4 -> 33 [size =\"48069632\"]\n  5 [size=\"45100373\", alpha=\"0.16\", expect_size=\"13530112\"] \n  5 -> 30 [size =\"13530112\"]\n  5 -> 34 [size =\"13530112\"]\n  5 -> 37 [size =\"13530112\"]\n  6 [size=\"109492907\", alpha=\"0.18\", expect_size=\"32847872\"] \n  6 -> 33 [size =\"32847872\"]\n  6 -> 34 [size =\"32847872\"]\n  6 -> 38 [size =\"32847872\"]\n  7 [size=\"156446720\", alpha=\"0.05\", expect_size=\"46934016\"] \n  7 -> 29 [size =\"46934016\"]\n  7 -> 34 [size =\"46934016\"]\n  8 [size=\"45264213\", alpha=\"0.09\", expect_size=\"13579264\"] \n  8 -> 30 [size =\"13579264\"]\n  9 [size=\"110066347\", alpha=\"0.11\", expect_size=\"33019904\"] \n  9 -> 30 [size =\"33019904\"]\n  9 -> 33 [size =\"33019904\"]\n  9 -> 36 [size =\"33019904\"]\n  10 [size=\"103096320\", alpha=\"0.03\", expect_size=\"30928896\"] \n  11 [size=\"42560853\", alpha=\"0.16\", expect_size=\"12768256\"] \n  11 -> 33 [size =\"12768256\"]\n  11 -> 38 [size =\"12768256\"]\n  11 -> 39 [size =\"12768256\"]\n  12 [size=\"90385067\", alpha=\"0.04\", expect_size=\"27115520\"] \n  12 -> 29 [size =\"27115520\"]\n  12 -> 33 [size =\"27115520\"]\n  12 -> 34 [size =\"27115520\"]\n  12 -> 40 [size =\"27115520\"]\n  13 [size=\"119650987\", alpha=\"0.02\", expect_size=\"35895296\"] \n  13 -> 40 [size =\"35895296\"]\n  14 [size=\"33300480\", alpha=\"0.17\", expect_size=\"9990144\"] \n  14 -> 30 [size =\"9990144\"]\n  14 -> 31 [size =\"9990144\"]\n  15 [size=\"170697387\", alpha=\"0.06\", expect_size=\"51209216\"] \n  16 [size=\"136164693\", alpha=\"0.06\", expect_size=\"40849408\"] \n  16 -> 31 [size =\"40849408\"]\n  16 -> 32 [size =\"40849408\"]\n  16 -> 34 [size =\"40849408\"]\n  16 -> 37 [size =\"40849408\"]\n  16 -> 39 [size =\"40849408\"]\n  16 -> 40 [size =\"40849408\"]\n  17 [size=\"120446293\", alpha=\"0.07\", expect_size=\"36133888\"] \n  17 -> 32 [size =\"36133888\"]\n  17 -> 33 [size =\"36133888\"]\n  17 -> 36 [size =\"36133888\"]\n  17 -> 37 [size =\"36133888\"]\n  18 [size=\"158040747\", alpha=\"0.11\", expect_size=\"47412224\"] \n  18 -> 29 [size =\"47412224\"]\n  18 -> 30 [size =\"47412224\"]\n  18 -> 32 [size =\"47412224\"]\n  18 -> 33 [size =\"47412224\"]\n  18 -> 34 [size =\"47412224\"]\n  19 [size=\"74827093\", alpha=\"0.06\", expect_size=\"22448128\"] \n  19 -> 32 [size =\"22448128\"]\n  19 -> 37 [size =\"22448128\"]\n  19 -> 38 [size =\"22448128\"]\n  19 -> 40 [size =\"22448128\"]\n  20 [size=\"161959253\", alpha=\"0.07\", expect_size=\"48587776\"] \n  20 -> 34 [size =\"48587776\"]\n  21 [size=\"30730240\", alpha=\"0.16\", expect_size=\"9219072\"] \n  21 -> 30 [size =\"9219072\"]\n  21 -> 34 [size =\"9219072\"]\n  21 -> 37 [size =\"9219072\"]\n  21 -> 40 [size =\"9219072\"]\n  22 [size=\"156596907\", alpha=\"0.01\", expect_size=\"46979072\"] \n  22 -> 29 [size =\"46979072\"]\n  22 -> 30 [size =\"46979072\"]\n  22 -> 32 [size =\"46979072\"]\n  22 -> 34 [size =\"46979072\"]\n  22 -> 36 [size =\"46979072\"]\n  23 [size=\"33925120\", alpha=\"0.19\", expect_size=\"10177536\"] \n  23 -> 32 [size =\"10177536\"]\n  23 -> 33 [size =\"10177536\"]\n  23 -> 34 [size =\"10177536\"]\n  23 -> 35 [size =\"10177536\"]\n  23 -> 36 [size =\"10177536\"]\n  23 -> 37 [size =\"10177536\"]\n  23 -> 38 [size =\"10177536\"]\n  24 [size=\"51889493\", alpha=\"0.16\", expect_size=\"15566848\"] \n  24 -> 29 [size =\"15566848\"]\n  25 [size=\"24702293\", alpha=\"0.16\", expect_size=\"7410688\"] \n  25 -> 30 [size =\"7410688\"]\n  25 -> 32 [size =\"7410688\"]\n  25 -> 33 [size =\"7410688\"]\n  25 -> 39 [size =\"7410688\"]\n  26 [size=\"71239680\", alpha=\"0.07\", expect_size=\"21371904\"] \n  26 -> 29 [size =\"21371904\"]\n  26 -> 32 [size =\"21371904\"]\n  26 -> 33 [size =\"21371904\"]\n  26 -> 39 [size =\"21371904\"]\n  26 -> 40 [size =\"21371904\"]\n  27 [size=\"119012693\", alpha=\"0.17\", expect_size=\"35703808\"] \n  27 -> 30 [size =\"35703808\"]\n  27 -> 32 [size =\"35703808\"]\n  27 -> 40 [size =\"35703808\"]\n  28 [size=\"170748587\", alpha=\"0.10\", expect_size=\"51224576\"] \n  28 -> 29 [size =\"51224576\"]\n  28 -> 32 [size =\"51224576\"]\n  28 -> 33 [size =\"51224576\"]\n  28 -> 38 [size =\"51224576\"]\n  29 [size=\"96672427\", alpha=\"0.14\", expect_size=\"29001728\"] \n  30 [size=\"140557653\", alpha=\"0.10\", expect_size=\"42167296\"] \n  31 [size=\"41748480\", alpha=\"0.09\", expect_size=\"12524544\"] \n  32 [size=\"167625387\", alpha=\"0.17\", expect_size=\"50287616\"] \n  33 [size=\"18121387\", alpha=\"0.18\", expect_size=\"5436416\"] \n  34 [size=\"170052267\", alpha=\"0.01\", expect_size=\"51015680\"] \n  35 [size=\"137028267\", alpha=\"0.03\", expect_size=\"41108480\"] \n  36 [size=\"103966720\", alpha=\"0.01\", expect_size=\"31190016\"] \n  37 [size=\"162877440\", alpha=\"0.12\", expect_size=\"48863232\"] \n  38 [size=\"138164907\", alpha=\"0.00\", expect_size=\"41449472\"] \n  39 [size=\"57613653\", alpha=\"0.16\", expect_size=\"17284096\"] \n  40 [size=\"171106987\", alpha=\"0.10\", expect_size=\"51332096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60308480\", alpha=\"0.11\", expect_size=\"24123392\"] \n  1 -> 3 [size =\"24123392\"]\n  1 -> 4 [size =\"24123392\"]\n  2 [size=\"88624640\", alpha=\"0.18\", expect_size=\"35449856\"] \n  3 [size=\"32739840\", alpha=\"0.00\", expect_size=\"13095936\"] \n  3 -> 7 [size =\"13095936\"]\n  4 [size=\"89640960\", alpha=\"0.04\", expect_size=\"35856384\"] \n  4 -> 5 [size =\"35856384\"]\n  4 -> 6 [size =\"35856384\"]\n  5 [size=\"111393280\", alpha=\"0.12\", expect_size=\"44557312\"] \n  6 [size=\"104501760\", alpha=\"0.16\", expect_size=\"41800704\"] \n  6 -> 8 [size =\"41800704\"]\n  6 -> 9 [size =\"41800704\"]\n  7 [size=\"76526080\", alpha=\"0.11\", expect_size=\"30610432\"] \n  8 [size=\"109422080\", alpha=\"0.01\", expect_size=\"43768832\"] \n  8 -> 11 [size =\"43768832\"]\n  9 [size=\"18831360\", alpha=\"0.11\", expect_size=\"7532544\"] \n  9 -> 10 [size =\"7532544\"]\n  10 [size=\"37660160\", alpha=\"0.13\", expect_size=\"15064064\"] \n  10 -> 12 [size =\"15064064\"]\n  10 -> 14 [size =\"15064064\"]\n  11 [size=\"110156800\", alpha=\"0.08\", expect_size=\"44062720\"] \n  11 -> 13 [size =\"44062720\"]\n  12 [size=\"54666240\", alpha=\"0.11\", expect_size=\"21866496\"] \n  12 -> 16 [size =\"21866496\"]\n  12 -> 17 [size =\"21866496\"]\n  13 [size=\"45317120\", alpha=\"0.20\", expect_size=\"18126848\"] \n  13 -> 15 [size =\"18126848\"]\n  14 [size=\"46586880\", alpha=\"0.15\", expect_size=\"18634752\"] \n  14 -> 15 [size =\"18634752\"]\n  14 -> 17 [size =\"18634752\"]\n  15 [size=\"67304960\", alpha=\"0.17\", expect_size=\"26921984\"] \n  15 -> 19 [size =\"26921984\"]\n  16 [size=\"22279680\", alpha=\"0.04\", expect_size=\"8911872\"] \n  16 -> 18 [size =\"8911872\"]\n  16 -> 20 [size =\"8911872\"]\n  17 [size=\"115745280\", alpha=\"0.04\", expect_size=\"46298112\"] \n  17 -> 19 [size =\"46298112\"]\n  17 -> 20 [size =\"46298112\"]\n  18 [size=\"65131520\", alpha=\"0.06\", expect_size=\"26052608\"] \n  18 -> 21 [size =\"26052608\"]\n  19 [size=\"70346240\", alpha=\"0.17\", expect_size=\"28138496\"] \n  19 -> 21 [size =\"28138496\"]\n  19 -> 22 [size =\"28138496\"]\n  20 [size=\"14379520\", alpha=\"0.17\", expect_size=\"5751808\"] \n  20 -> 22 [size =\"5751808\"]\n  21 [size=\"93969920\", alpha=\"0.05\", expect_size=\"37587968\"] \n  21 -> 23 [size =\"37587968\"]\n  22 [size=\"23825920\", alpha=\"0.06\", expect_size=\"9530368\"] \n  22 -> 24 [size =\"9530368\"]\n  23 [size=\"89735680\", alpha=\"0.09\", expect_size=\"35894272\"] \n  23 -> 25 [size =\"35894272\"]\n  24 [size=\"89623040\", alpha=\"0.06\", expect_size=\"35849216\"] \n  24 -> 26 [size =\"35849216\"]\n  25 [size=\"60277760\", alpha=\"0.20\", expect_size=\"24111104\"] \n  25 -> 27 [size =\"24111104\"]\n  25 -> 28 [size =\"24111104\"]\n  26 [size=\"40770560\", alpha=\"0.09\", expect_size=\"16308224\"] \n  27 [size=\"63895040\", alpha=\"0.09\", expect_size=\"25558016\"] \n  27 -> 29 [size =\"25558016\"]\n  27 -> 31 [size =\"25558016\"]\n  28 [size=\"87833600\", alpha=\"0.05\", expect_size=\"35133440\"] \n  28 -> 30 [size =\"35133440\"]\n  29 [size=\"120563200\", alpha=\"0.02\", expect_size=\"48225280\"] \n  29 -> 32 [size =\"48225280\"]\n  29 -> 33 [size =\"48225280\"]\n  30 [size=\"105484800\", alpha=\"0.03\", expect_size=\"42193920\"] \n  30 -> 33 [size =\"42193920\"]\n  31 [size=\"88985600\", alpha=\"0.01\", expect_size=\"35594240\"] \n  32 [size=\"118269440\", alpha=\"0.06\", expect_size=\"47307776\"] \n  32 -> 35 [size =\"47307776\"]\n  33 [size=\"32929280\", alpha=\"0.16\", expect_size=\"13171712\"] \n  33 -> 34 [size =\"13171712\"]\n  34 [size=\"88522240\", alpha=\"0.12\", expect_size=\"35408896\"] \n  35 [size=\"125657600\", alpha=\"0.17\", expect_size=\"50263040\"] \n  35 -> 36 [size =\"50263040\"]\n  35 -> 37 [size =\"50263040\"]\n  36 [size=\"124656640\", alpha=\"0.03\", expect_size=\"49862656\"] \n  36 -> 38 [size =\"49862656\"]\n  37 [size=\"58951680\", alpha=\"0.07\", expect_size=\"23580672\"] \n  37 -> 39 [size =\"23580672\"]\n  38 [size=\"109923840\", alpha=\"0.00\", expect_size=\"43969536\"] \n  38 -> 40 [size =\"43969536\"]\n  39 [size=\"19998720\", alpha=\"0.03\", expect_size=\"7999488\"] \n  40 [size=\"30827520\", alpha=\"0.06\", expect_size=\"12331008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102983680\", alpha=\"0.01\", expect_size=\"30895104\"] \n  1 -> 25 [size =\"30895104\"]\n  1 -> 26 [size =\"30895104\"]\n  1 -> 29 [size =\"30895104\"]\n  1 -> 33 [size =\"30895104\"]\n  1 -> 37 [size =\"30895104\"]\n  1 -> 38 [size =\"30895104\"]\n  2 [size=\"127682560\", alpha=\"0.17\", expect_size=\"38304768\"] \n  2 -> 26 [size =\"38304768\"]\n  2 -> 27 [size =\"38304768\"]\n  2 -> 29 [size =\"38304768\"]\n  2 -> 31 [size =\"38304768\"]\n  2 -> 33 [size =\"38304768\"]\n  2 -> 37 [size =\"38304768\"]\n  2 -> 38 [size =\"38304768\"]\n  3 [size=\"78097067\", alpha=\"0.10\", expect_size=\"23429120\"] \n  3 -> 26 [size =\"23429120\"]\n  3 -> 27 [size =\"23429120\"]\n  3 -> 29 [size =\"23429120\"]\n  3 -> 31 [size =\"23429120\"]\n  3 -> 33 [size =\"23429120\"]\n  3 -> 38 [size =\"23429120\"]\n  3 -> 39 [size =\"23429120\"]\n  4 [size=\"104086187\", alpha=\"0.02\", expect_size=\"31225856\"] \n  4 -> 27 [size =\"31225856\"]\n  4 -> 29 [size =\"31225856\"]\n  4 -> 29 [size =\"31225856\"]\n  4 -> 33 [size =\"31225856\"]\n  4 -> 33 [size =\"31225856\"]\n  4 -> 35 [size =\"31225856\"]\n  5 [size=\"117626880\", alpha=\"0.10\", expect_size=\"35288064\"] \n  5 -> 26 [size =\"35288064\"]\n  5 -> 29 [size =\"35288064\"]\n  6 [size=\"38857387\", alpha=\"0.11\", expect_size=\"11657216\"] \n  6 -> 26 [size =\"11657216\"]\n  6 -> 27 [size =\"11657216\"]\n  6 -> 28 [size =\"11657216\"]\n  6 -> 29 [size =\"11657216\"]\n  6 -> 32 [size =\"11657216\"]\n  6 -> 33 [size =\"11657216\"]\n  7 [size=\"122210987\", alpha=\"0.01\", expect_size=\"36663296\"] \n  7 -> 25 [size =\"36663296\"]\n  7 -> 29 [size =\"36663296\"]\n  7 -> 33 [size =\"36663296\"]\n  7 -> 35 [size =\"36663296\"]\n  7 -> 38 [size =\"36663296\"]\n  8 [size=\"120190293\", alpha=\"0.08\", expect_size=\"36057088\"] \n  8 -> 25 [size =\"36057088\"]\n  8 -> 26 [size =\"36057088\"]\n  8 -> 34 [size =\"36057088\"]\n  8 -> 38 [size =\"36057088\"]\n  9 [size=\"83298987\", alpha=\"0.18\", expect_size=\"24989696\"] \n  9 -> 25 [size =\"24989696\"]\n  9 -> 26 [size =\"24989696\"]\n  9 -> 27 [size =\"24989696\"]\n  9 -> 29 [size =\"24989696\"]\n  9 -> 30 [size =\"24989696\"]\n  9 -> 33 [size =\"24989696\"]\n  9 -> 38 [size =\"24989696\"]\n  10 [size=\"62976000\", alpha=\"0.19\", expect_size=\"18892800\"] \n  10 -> 25 [size =\"18892800\"]\n  10 -> 26 [size =\"18892800\"]\n  10 -> 27 [size =\"18892800\"]\n  10 -> 29 [size =\"18892800\"]\n  10 -> 33 [size =\"18892800\"]\n  10 -> 35 [size =\"18892800\"]\n  10 -> 36 [size =\"18892800\"]\n  10 -> 38 [size =\"18892800\"]\n  11 [size=\"26193920\", alpha=\"0.18\", expect_size=\"7858176\"] \n  11 -> 27 [size =\"7858176\"]\n  11 -> 29 [size =\"7858176\"]\n  11 -> 32 [size =\"7858176\"]\n  11 -> 35 [size =\"7858176\"]\n  11 -> 37 [size =\"7858176\"]\n  11 -> 38 [size =\"7858176\"]\n  12 [size=\"32296960\", alpha=\"0.15\", expect_size=\"9689088\"] \n  12 -> 27 [size =\"9689088\"]\n  12 -> 29 [size =\"9689088\"]\n  12 -> 31 [size =\"9689088\"]\n  12 -> 33 [size =\"9689088\"]\n  12 -> 35 [size =\"9689088\"]\n  12 -> 38 [size =\"9689088\"]\n  13 [size=\"168314880\", alpha=\"0.20\", expect_size=\"50494464\"] \n  13 -> 27 [size =\"50494464\"]\n  13 -> 31 [size =\"50494464\"]\n  13 -> 33 [size =\"50494464\"]\n  13 -> 35 [size =\"50494464\"]\n  13 -> 37 [size =\"50494464\"]\n  13 -> 39 [size =\"50494464\"]\n  14 [size=\"87688533\", alpha=\"0.16\", expect_size=\"26306560\"] \n  14 -> 26 [size =\"26306560\"]\n  14 -> 27 [size =\"26306560\"]\n  14 -> 31 [size =\"26306560\"]\n  14 -> 35 [size =\"26306560\"]\n  14 -> 39 [size =\"26306560\"]\n  15 [size=\"100136960\", alpha=\"0.12\", expect_size=\"30041088\"] \n  15 -> 26 [size =\"30041088\"]\n  15 -> 27 [size =\"30041088\"]\n  15 -> 31 [size =\"30041088\"]\n  15 -> 32 [size =\"30041088\"]\n  15 -> 33 [size =\"30041088\"]\n  15 -> 37 [size =\"30041088\"]\n  15 -> 38 [size =\"30041088\"]\n  16 [size=\"22336853\", alpha=\"0.17\", expect_size=\"6701056\"] \n  16 -> 25 [size =\"6701056\"]\n  16 -> 27 [size =\"6701056\"]\n  16 -> 28 [size =\"6701056\"]\n  16 -> 29 [size =\"6701056\"]\n  16 -> 31 [size =\"6701056\"]\n  16 -> 32 [size =\"6701056\"]\n  16 -> 37 [size =\"6701056\"]\n  16 -> 38 [size =\"6701056\"]\n  17 [size=\"108202667\", alpha=\"0.02\", expect_size=\"32460800\"] \n  17 -> 26 [size =\"32460800\"]\n  17 -> 27 [size =\"32460800\"]\n  17 -> 32 [size =\"32460800\"]\n  17 -> 33 [size =\"32460800\"]\n  17 -> 35 [size =\"32460800\"]\n  17 -> 38 [size =\"32460800\"]\n  17 -> 39 [size =\"32460800\"]\n  18 [size=\"115865600\", alpha=\"0.04\", expect_size=\"34759680\"] \n  18 -> 29 [size =\"34759680\"]\n  18 -> 32 [size =\"34759680\"]\n  18 -> 33 [size =\"34759680\"]\n  18 -> 37 [size =\"34759680\"]\n  18 -> 38 [size =\"34759680\"]\n  18 -> 38 [size =\"34759680\"]\n  19 [size=\"19370667\", alpha=\"0.15\", expect_size=\"5811200\"] \n  19 -> 25 [size =\"5811200\"]\n  19 -> 29 [size =\"5811200\"]\n  19 -> 31 [size =\"5811200\"]\n  19 -> 32 [size =\"5811200\"]\n  19 -> 33 [size =\"5811200\"]\n  19 -> 36 [size =\"5811200\"]\n  19 -> 38 [size =\"5811200\"]\n  20 [size=\"164420267\", alpha=\"0.06\", expect_size=\"49326080\"] \n  20 -> 25 [size =\"49326080\"]\n  20 -> 27 [size =\"49326080\"]\n  20 -> 29 [size =\"49326080\"]\n  20 -> 31 [size =\"49326080\"]\n  20 -> 32 [size =\"49326080\"]\n  20 -> 33 [size =\"49326080\"]\n  20 -> 35 [size =\"49326080\"]\n  20 -> 36 [size =\"49326080\"]\n  20 -> 38 [size =\"49326080\"]\n  21 [size=\"159221760\", alpha=\"0.08\", expect_size=\"47766528\"] \n  21 -> 25 [size =\"47766528\"]\n  21 -> 27 [size =\"47766528\"]\n  21 -> 29 [size =\"47766528\"]\n  21 -> 31 [size =\"47766528\"]\n  21 -> 32 [size =\"47766528\"]\n  21 -> 40 [size =\"47766528\"]\n  22 [size=\"140544000\", alpha=\"0.04\", expect_size=\"42163200\"] \n  22 -> 25 [size =\"42163200\"]\n  22 -> 27 [size =\"42163200\"]\n  22 -> 29 [size =\"42163200\"]\n  22 -> 32 [size =\"42163200\"]\n  22 -> 33 [size =\"42163200\"]\n  22 -> 35 [size =\"42163200\"]\n  23 [size=\"100304213\", alpha=\"0.07\", expect_size=\"30091264\"] \n  23 -> 27 [size =\"30091264\"]\n  23 -> 27 [size =\"30091264\"]\n  23 -> 28 [size =\"30091264\"]\n  23 -> 29 [size =\"30091264\"]\n  23 -> 32 [size =\"30091264\"]\n  23 -> 35 [size =\"30091264\"]\n  23 -> 36 [size =\"30091264\"]\n  23 -> 37 [size =\"30091264\"]\n  24 [size=\"96457387\", alpha=\"0.02\", expect_size=\"28937216\"] \n  24 -> 26 [size =\"28937216\"]\n  24 -> 27 [size =\"28937216\"]\n  24 -> 29 [size =\"28937216\"]\n  24 -> 29 [size =\"28937216\"]\n  24 -> 30 [size =\"28937216\"]\n  24 -> 31 [size =\"28937216\"]\n  24 -> 32 [size =\"28937216\"]\n  24 -> 35 [size =\"28937216\"]\n  24 -> 37 [size =\"28937216\"]\n  24 -> 38 [size =\"28937216\"]\n  25 [size=\"63703040\", alpha=\"0.09\", expect_size=\"19110912\"] \n  26 [size=\"157508267\", alpha=\"0.19\", expect_size=\"47252480\"] \n  27 [size=\"137646080\", alpha=\"0.02\", expect_size=\"41293824\"] \n  28 [size=\"155187200\", alpha=\"0.19\", expect_size=\"46556160\"] \n  29 [size=\"33184427\", alpha=\"0.03\", expect_size=\"9955328\"] \n  30 [size=\"150995627\", alpha=\"0.14\", expect_size=\"45298688\"] \n  31 [size=\"40338773\", alpha=\"0.06\", expect_size=\"12101632\"] \n  32 [size=\"101294080\", alpha=\"0.19\", expect_size=\"30388224\"] \n  33 [size=\"129498453\", alpha=\"0.12\", expect_size=\"38849536\"] \n  34 [size=\"28286293\", alpha=\"0.14\", expect_size=\"8485888\"] \n  35 [size=\"41557333\", alpha=\"0.06\", expect_size=\"12467200\"] \n  36 [size=\"112175787\", alpha=\"0.19\", expect_size=\"33652736\"] \n  37 [size=\"104239787\", alpha=\"0.03\", expect_size=\"31271936\"] \n  38 [size=\"122484053\", alpha=\"0.20\", expect_size=\"36745216\"] \n  39 [size=\"112336213\", alpha=\"0.17\", expect_size=\"33700864\"] \n  40 [size=\"139622400\", alpha=\"0.12\", expect_size=\"41886720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81588907\", alpha=\"0.12\", expect_size=\"24476672\"] \n  1 -> 12 [size =\"24476672\"]\n  1 -> 18 [size =\"24476672\"]\n  1 -> 20 [size =\"24476672\"]\n  1 -> 21 [size =\"24476672\"]\n  1 -> 21 [size =\"24476672\"]\n  2 [size=\"167772160\", alpha=\"0.08\", expect_size=\"50331648\"] \n  2 -> 12 [size =\"50331648\"]\n  2 -> 14 [size =\"50331648\"]\n  2 -> 16 [size =\"50331648\"]\n  2 -> 17 [size =\"50331648\"]\n  2 -> 18 [size =\"50331648\"]\n  2 -> 19 [size =\"50331648\"]\n  2 -> 20 [size =\"50331648\"]\n  2 -> 21 [size =\"50331648\"]\n  3 [size=\"18585600\", alpha=\"0.12\", expect_size=\"5575680\"] \n  3 -> 20 [size =\"5575680\"]\n  3 -> 22 [size =\"5575680\"]\n  3 -> 23 [size =\"5575680\"]\n  4 [size=\"46322347\", alpha=\"0.05\", expect_size=\"13896704\"] \n  4 -> 12 [size =\"13896704\"]\n  4 -> 13 [size =\"13896704\"]\n  4 -> 19 [size =\"13896704\"]\n  5 [size=\"154200747\", alpha=\"0.03\", expect_size=\"46260224\"] \n  5 -> 13 [size =\"46260224\"]\n  5 -> 17 [size =\"46260224\"]\n  5 -> 20 [size =\"46260224\"]\n  5 -> 21 [size =\"46260224\"]\n  6 [size=\"154368000\", alpha=\"0.07\", expect_size=\"46310400\"] \n  6 -> 12 [size =\"46310400\"]\n  6 -> 13 [size =\"46310400\"]\n  6 -> 16 [size =\"46310400\"]\n  6 -> 18 [size =\"46310400\"]\n  6 -> 19 [size =\"46310400\"]\n  6 -> 20 [size =\"46310400\"]\n  7 [size=\"89074347\", alpha=\"0.12\", expect_size=\"26722304\"] \n  7 -> 13 [size =\"26722304\"]\n  7 -> 18 [size =\"26722304\"]\n  7 -> 19 [size =\"26722304\"]\n  8 [size=\"150565547\", alpha=\"0.18\", expect_size=\"45169664\"] \n  8 -> 22 [size =\"45169664\"]\n  9 [size=\"113199787\", alpha=\"0.06\", expect_size=\"33959936\"] \n  9 -> 12 [size =\"33959936\"]\n  9 -> 16 [size =\"33959936\"]\n  9 -> 17 [size =\"33959936\"]\n  9 -> 18 [size =\"33959936\"]\n  9 -> 19 [size =\"33959936\"]\n  9 -> 20 [size =\"33959936\"]\n  9 -> 21 [size =\"33959936\"]\n  10 [size=\"154391893\", alpha=\"0.09\", expect_size=\"46317568\"] \n  10 -> 12 [size =\"46317568\"]\n  10 -> 13 [size =\"46317568\"]\n  10 -> 21 [size =\"46317568\"]\n  11 [size=\"163068587\", alpha=\"0.02\", expect_size=\"48920576\"] \n  11 -> 15 [size =\"48920576\"]\n  11 -> 17 [size =\"48920576\"]\n  11 -> 18 [size =\"48920576\"]\n  11 -> 20 [size =\"48920576\"]\n  11 -> 21 [size =\"48920576\"]\n  11 -> 24 [size =\"48920576\"]\n  12 [size=\"97931947\", alpha=\"0.12\", expect_size=\"29379584\"] \n  12 -> 25 [size =\"29379584\"]\n  12 -> 28 [size =\"29379584\"]\n  12 -> 32 [size =\"29379584\"]\n  12 -> 33 [size =\"29379584\"]\n  12 -> 34 [size =\"29379584\"]\n  13 [size=\"161181013\", alpha=\"0.19\", expect_size=\"48354304\"] \n  13 -> 25 [size =\"48354304\"]\n  13 -> 28 [size =\"48354304\"]\n  13 -> 31 [size =\"48354304\"]\n  13 -> 32 [size =\"48354304\"]\n  13 -> 34 [size =\"48354304\"]\n  14 [size=\"101529600\", alpha=\"0.12\", expect_size=\"30458880\"] \n  14 -> 25 [size =\"30458880\"]\n  14 -> 26 [size =\"30458880\"]\n  14 -> 28 [size =\"30458880\"]\n  14 -> 30 [size =\"30458880\"]\n  15 [size=\"137164800\", alpha=\"0.05\", expect_size=\"41149440\"] \n  16 [size=\"163495253\", alpha=\"0.12\", expect_size=\"49048576\"] \n  16 -> 27 [size =\"49048576\"]\n  16 -> 29 [size =\"49048576\"]\n  16 -> 32 [size =\"49048576\"]\n  16 -> 34 [size =\"49048576\"]\n  17 [size=\"61429760\", alpha=\"0.20\", expect_size=\"18428928\"] \n  17 -> 26 [size =\"18428928\"]\n  17 -> 29 [size =\"18428928\"]\n  17 -> 30 [size =\"18428928\"]\n  17 -> 34 [size =\"18428928\"]\n  18 [size=\"152395093\", alpha=\"0.16\", expect_size=\"45718528\"] \n  18 -> 25 [size =\"45718528\"]\n  18 -> 26 [size =\"45718528\"]\n  18 -> 29 [size =\"45718528\"]\n  18 -> 32 [size =\"45718528\"]\n  19 [size=\"140404053\", alpha=\"0.05\", expect_size=\"42121216\"] \n  19 -> 25 [size =\"42121216\"]\n  19 -> 26 [size =\"42121216\"]\n  19 -> 29 [size =\"42121216\"]\n  19 -> 30 [size =\"42121216\"]\n  19 -> 31 [size =\"42121216\"]\n  19 -> 32 [size =\"42121216\"]\n  19 -> 34 [size =\"42121216\"]\n  20 [size=\"28675413\", alpha=\"0.05\", expect_size=\"8602624\"] \n  20 -> 25 [size =\"8602624\"]\n  20 -> 26 [size =\"8602624\"]\n  20 -> 31 [size =\"8602624\"]\n  21 [size=\"98048000\", alpha=\"0.14\", expect_size=\"29414400\"] \n  21 -> 25 [size =\"29414400\"]\n  21 -> 30 [size =\"29414400\"]\n  21 -> 32 [size =\"29414400\"]\n  21 -> 34 [size =\"29414400\"]\n  22 [size=\"111619413\", alpha=\"0.01\", expect_size=\"33485824\"] \n  22 -> 28 [size =\"33485824\"]\n  22 -> 34 [size =\"33485824\"]\n  23 [size=\"46523733\", alpha=\"0.09\", expect_size=\"13957120\"] \n  23 -> 28 [size =\"13957120\"]\n  24 [size=\"40956587\", alpha=\"0.01\", expect_size=\"12286976\"] \n  24 -> 25 [size =\"12286976\"]\n  24 -> 29 [size =\"12286976\"]\n  24 -> 30 [size =\"12286976\"]\n  24 -> 34 [size =\"12286976\"]\n  25 [size=\"133625173\", alpha=\"0.10\", expect_size=\"40087552\"] \n  25 -> 36 [size =\"40087552\"]\n  25 -> 37 [size =\"40087552\"]\n  25 -> 40 [size =\"40087552\"]\n  26 [size=\"174353067\", alpha=\"0.16\", expect_size=\"52305920\"] \n  26 -> 35 [size =\"52305920\"]\n  26 -> 39 [size =\"52305920\"]\n  27 [size=\"107601920\", alpha=\"0.11\", expect_size=\"32280576\"] \n  27 -> 35 [size =\"32280576\"]\n  27 -> 36 [size =\"32280576\"]\n  27 -> 37 [size =\"32280576\"]\n  28 [size=\"104082773\", alpha=\"0.03\", expect_size=\"31224832\"] \n  28 -> 38 [size =\"31224832\"]\n  28 -> 39 [size =\"31224832\"]\n  29 [size=\"76277760\", alpha=\"0.08\", expect_size=\"22883328\"] \n  29 -> 36 [size =\"22883328\"]\n  30 [size=\"115363840\", alpha=\"0.10\", expect_size=\"34609152\"] \n  30 -> 36 [size =\"34609152\"]\n  30 -> 38 [size =\"34609152\"]\n  31 [size=\"157334187\", alpha=\"0.10\", expect_size=\"47200256\"] \n  31 -> 36 [size =\"47200256\"]\n  31 -> 37 [size =\"47200256\"]\n  31 -> 38 [size =\"47200256\"]\n  31 -> 39 [size =\"47200256\"]\n  32 [size=\"109021867\", alpha=\"0.01\", expect_size=\"32706560\"] \n  33 [size=\"120722773\", alpha=\"0.09\", expect_size=\"36216832\"] \n  33 -> 36 [size =\"36216832\"]\n  33 -> 38 [size =\"36216832\"]\n  34 [size=\"36256427\", alpha=\"0.09\", expect_size=\"10876928\"] \n  34 -> 37 [size =\"10876928\"]\n  34 -> 39 [size =\"10876928\"]\n  35 [size=\"41762133\", alpha=\"0.04\", expect_size=\"12528640\"] \n  36 [size=\"116674560\", alpha=\"0.17\", expect_size=\"35002368\"] \n  37 [size=\"83322880\", alpha=\"0.16\", expect_size=\"24996864\"] \n  38 [size=\"170581333\", alpha=\"0.12\", expect_size=\"51174400\"] \n  39 [size=\"39690240\", alpha=\"0.04\", expect_size=\"11907072\"] \n  40 [size=\"100945920\", alpha=\"0.17\", expect_size=\"30283776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58309973\", alpha=\"0.16\", expect_size=\"17492992\"] \n  1 -> 31 [size =\"17492992\"]\n  1 -> 33 [size =\"17492992\"]\n  1 -> 37 [size =\"17492992\"]\n  2 [size=\"110322347\", alpha=\"0.01\", expect_size=\"33096704\"] \n  2 -> 28 [size =\"33096704\"]\n  2 -> 30 [size =\"33096704\"]\n  2 -> 31 [size =\"33096704\"]\n  2 -> 32 [size =\"33096704\"]\n  2 -> 34 [size =\"33096704\"]\n  2 -> 37 [size =\"33096704\"]\n  2 -> 38 [size =\"33096704\"]\n  3 [size=\"114179413\", alpha=\"0.11\", expect_size=\"34253824\"] \n  3 -> 28 [size =\"34253824\"]\n  3 -> 30 [size =\"34253824\"]\n  3 -> 31 [size =\"34253824\"]\n  3 -> 33 [size =\"34253824\"]\n  3 -> 34 [size =\"34253824\"]\n  3 -> 36 [size =\"34253824\"]\n  3 -> 37 [size =\"34253824\"]\n  4 [size=\"50029227\", alpha=\"0.06\", expect_size=\"15008768\"] \n  4 -> 27 [size =\"15008768\"]\n  4 -> 28 [size =\"15008768\"]\n  4 -> 29 [size =\"15008768\"]\n  4 -> 30 [size =\"15008768\"]\n  4 -> 31 [size =\"15008768\"]\n  4 -> 33 [size =\"15008768\"]\n  4 -> 34 [size =\"15008768\"]\n  4 -> 35 [size =\"15008768\"]\n  4 -> 37 [size =\"15008768\"]\n  5 [size=\"113950720\", alpha=\"0.05\", expect_size=\"34185216\"] \n  5 -> 27 [size =\"34185216\"]\n  5 -> 28 [size =\"34185216\"]\n  5 -> 29 [size =\"34185216\"]\n  5 -> 30 [size =\"34185216\"]\n  5 -> 32 [size =\"34185216\"]\n  5 -> 33 [size =\"34185216\"]\n  5 -> 34 [size =\"34185216\"]\n  5 -> 37 [size =\"34185216\"]\n  5 -> 39 [size =\"34185216\"]\n  6 [size=\"128348160\", alpha=\"0.04\", expect_size=\"38504448\"] \n  6 -> 31 [size =\"38504448\"]\n  6 -> 33 [size =\"38504448\"]\n  6 -> 34 [size =\"38504448\"]\n  6 -> 36 [size =\"38504448\"]\n  6 -> 39 [size =\"38504448\"]\n  7 [size=\"169915733\", alpha=\"0.17\", expect_size=\"50974720\"] \n  7 -> 29 [size =\"50974720\"]\n  7 -> 31 [size =\"50974720\"]\n  7 -> 32 [size =\"50974720\"]\n  7 -> 33 [size =\"50974720\"]\n  7 -> 34 [size =\"50974720\"]\n  7 -> 37 [size =\"50974720\"]\n  7 -> 39 [size =\"50974720\"]\n  8 [size=\"41632427\", alpha=\"0.16\", expect_size=\"12489728\"] \n  8 -> 28 [size =\"12489728\"]\n  8 -> 31 [size =\"12489728\"]\n  8 -> 32 [size =\"12489728\"]\n  8 -> 37 [size =\"12489728\"]\n  8 -> 39 [size =\"12489728\"]\n  9 [size=\"139554133\", alpha=\"0.06\", expect_size=\"41866240\"] \n  9 -> 28 [size =\"41866240\"]\n  9 -> 31 [size =\"41866240\"]\n  9 -> 33 [size =\"41866240\"]\n  9 -> 37 [size =\"41866240\"]\n  9 -> 39 [size =\"41866240\"]\n  10 [size=\"106526720\", alpha=\"0.16\", expect_size=\"31958016\"] \n  10 -> 27 [size =\"31958016\"]\n  10 -> 28 [size =\"31958016\"]\n  10 -> 30 [size =\"31958016\"]\n  10 -> 31 [size =\"31958016\"]\n  10 -> 33 [size =\"31958016\"]\n  10 -> 34 [size =\"31958016\"]\n  10 -> 37 [size =\"31958016\"]\n  10 -> 38 [size =\"31958016\"]\n  10 -> 39 [size =\"31958016\"]\n  11 [size=\"94228480\", alpha=\"0.20\", expect_size=\"28268544\"] \n  11 -> 27 [size =\"28268544\"]\n  11 -> 28 [size =\"28268544\"]\n  11 -> 31 [size =\"28268544\"]\n  11 -> 33 [size =\"28268544\"]\n  11 -> 37 [size =\"28268544\"]\n  11 -> 38 [size =\"28268544\"]\n  12 [size=\"59443200\", alpha=\"0.16\", expect_size=\"17832960\"] \n  12 -> 30 [size =\"17832960\"]\n  12 -> 31 [size =\"17832960\"]\n  12 -> 32 [size =\"17832960\"]\n  12 -> 35 [size =\"17832960\"]\n  12 -> 37 [size =\"17832960\"]\n  12 -> 38 [size =\"17832960\"]\n  13 [size=\"67218773\", alpha=\"0.18\", expect_size=\"20165632\"] \n  13 -> 33 [size =\"20165632\"]\n  13 -> 34 [size =\"20165632\"]\n  13 -> 37 [size =\"20165632\"]\n  13 -> 38 [size =\"20165632\"]\n  14 [size=\"150685013\", alpha=\"0.16\", expect_size=\"45205504\"] \n  14 -> 30 [size =\"45205504\"]\n  14 -> 31 [size =\"45205504\"]\n  14 -> 33 [size =\"45205504\"]\n  14 -> 34 [size =\"45205504\"]\n  14 -> 35 [size =\"45205504\"]\n  14 -> 37 [size =\"45205504\"]\n  14 -> 39 [size =\"45205504\"]\n  15 [size=\"39424000\", alpha=\"0.19\", expect_size=\"11827200\"] \n  15 -> 33 [size =\"11827200\"]\n  15 -> 35 [size =\"11827200\"]\n  15 -> 36 [size =\"11827200\"]\n  15 -> 39 [size =\"11827200\"]\n  16 [size=\"77086720\", alpha=\"0.00\", expect_size=\"23126016\"] \n  16 -> 28 [size =\"23126016\"]\n  16 -> 31 [size =\"23126016\"]\n  16 -> 34 [size =\"23126016\"]\n  16 -> 36 [size =\"23126016\"]\n  16 -> 37 [size =\"23126016\"]\n  16 -> 39 [size =\"23126016\"]\n  17 [size=\"108936533\", alpha=\"0.10\", expect_size=\"32680960\"] \n  17 -> 28 [size =\"32680960\"]\n  17 -> 30 [size =\"32680960\"]\n  17 -> 31 [size =\"32680960\"]\n  17 -> 34 [size =\"32680960\"]\n  17 -> 35 [size =\"32680960\"]\n  17 -> 39 [size =\"32680960\"]\n  17 -> 40 [size =\"32680960\"]\n  18 [size=\"88668160\", alpha=\"0.11\", expect_size=\"26600448\"] \n  18 -> 27 [size =\"26600448\"]\n  18 -> 28 [size =\"26600448\"]\n  18 -> 30 [size =\"26600448\"]\n  18 -> 31 [size =\"26600448\"]\n  18 -> 33 [size =\"26600448\"]\n  18 -> 34 [size =\"26600448\"]\n  18 -> 35 [size =\"26600448\"]\n  18 -> 37 [size =\"26600448\"]\n  18 -> 38 [size =\"26600448\"]\n  18 -> 39 [size =\"26600448\"]\n  19 [size=\"59934720\", alpha=\"0.07\", expect_size=\"17980416\"] \n  19 -> 27 [size =\"17980416\"]\n  19 -> 28 [size =\"17980416\"]\n  19 -> 29 [size =\"17980416\"]\n  19 -> 30 [size =\"17980416\"]\n  19 -> 31 [size =\"17980416\"]\n  19 -> 32 [size =\"17980416\"]\n  19 -> 33 [size =\"17980416\"]\n  19 -> 34 [size =\"17980416\"]\n  19 -> 37 [size =\"17980416\"]\n  19 -> 39 [size =\"17980416\"]\n  20 [size=\"108513280\", alpha=\"0.08\", expect_size=\"32553984\"] \n  20 -> 27 [size =\"32553984\"]\n  20 -> 30 [size =\"32553984\"]\n  20 -> 31 [size =\"32553984\"]\n  20 -> 32 [size =\"32553984\"]\n  20 -> 33 [size =\"32553984\"]\n  20 -> 34 [size =\"32553984\"]\n  20 -> 37 [size =\"32553984\"]\n  20 -> 39 [size =\"32553984\"]\n  21 [size=\"75581440\", alpha=\"0.14\", expect_size=\"22674432\"] \n  21 -> 28 [size =\"22674432\"]\n  21 -> 29 [size =\"22674432\"]\n  21 -> 31 [size =\"22674432\"]\n  21 -> 32 [size =\"22674432\"]\n  21 -> 33 [size =\"22674432\"]\n  21 -> 34 [size =\"22674432\"]\n  21 -> 37 [size =\"22674432\"]\n  21 -> 39 [size =\"22674432\"]\n  22 [size=\"73970347\", alpha=\"0.12\", expect_size=\"22191104\"] \n  22 -> 28 [size =\"22191104\"]\n  22 -> 31 [size =\"22191104\"]\n  22 -> 31 [size =\"22191104\"]\n  22 -> 32 [size =\"22191104\"]\n  22 -> 33 [size =\"22191104\"]\n  22 -> 34 [size =\"22191104\"]\n  22 -> 36 [size =\"22191104\"]\n  22 -> 39 [size =\"22191104\"]\n  23 [size=\"42847573\", alpha=\"0.02\", expect_size=\"12854272\"] \n  23 -> 31 [size =\"12854272\"]\n  23 -> 31 [size =\"12854272\"]\n  23 -> 32 [size =\"12854272\"]\n  23 -> 32 [size =\"12854272\"]\n  23 -> 33 [size =\"12854272\"]\n  23 -> 34 [size =\"12854272\"]\n  23 -> 36 [size =\"12854272\"]\n  23 -> 39 [size =\"12854272\"]\n  24 [size=\"23797760\", alpha=\"0.16\", expect_size=\"7139328\"] \n  24 -> 27 [size =\"7139328\"]\n  24 -> 28 [size =\"7139328\"]\n  24 -> 31 [size =\"7139328\"]\n  24 -> 33 [size =\"7139328\"]\n  24 -> 33 [size =\"7139328\"]\n  24 -> 38 [size =\"7139328\"]\n  24 -> 39 [size =\"7139328\"]\n  25 [size=\"150975147\", alpha=\"0.03\", expect_size=\"45292544\"] \n  25 -> 27 [size =\"45292544\"]\n  25 -> 28 [size =\"45292544\"]\n  25 -> 33 [size =\"45292544\"]\n  25 -> 34 [size =\"45292544\"]\n  25 -> 36 [size =\"45292544\"]\n  25 -> 39 [size =\"45292544\"]\n  26 [size=\"144984747\", alpha=\"0.03\", expect_size=\"43495424\"] \n  26 -> 28 [size =\"43495424\"]\n  26 -> 28 [size =\"43495424\"]\n  26 -> 31 [size =\"43495424\"]\n  26 -> 32 [size =\"43495424\"]\n  26 -> 33 [size =\"43495424\"]\n  26 -> 35 [size =\"43495424\"]\n  26 -> 38 [size =\"43495424\"]\n  27 [size=\"148865707\", alpha=\"0.03\", expect_size=\"44659712\"] \n  28 [size=\"69410133\", alpha=\"0.06\", expect_size=\"20823040\"] \n  29 [size=\"155112107\", alpha=\"0.05\", expect_size=\"46533632\"] \n  30 [size=\"56712533\", alpha=\"0.15\", expect_size=\"17013760\"] \n  31 [size=\"121736533\", alpha=\"0.14\", expect_size=\"36520960\"] \n  32 [size=\"76445013\", alpha=\"0.19\", expect_size=\"22933504\"] \n  33 [size=\"170970453\", alpha=\"0.11\", expect_size=\"51291136\"] \n  34 [size=\"30160213\", alpha=\"0.19\", expect_size=\"9048064\"] \n  35 [size=\"158433280\", alpha=\"0.10\", expect_size=\"47529984\"] \n  36 [size=\"23111680\", alpha=\"0.09\", expect_size=\"6933504\"] \n  37 [size=\"49650347\", alpha=\"0.19\", expect_size=\"14895104\"] \n  38 [size=\"75909120\", alpha=\"0.18\", expect_size=\"22772736\"] \n  39 [size=\"126050987\", alpha=\"0.03\", expect_size=\"37815296\"] \n  40 [size=\"164870827\", alpha=\"0.19\", expect_size=\"49461248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12615680\", alpha=\"0.01\", expect_size=\"6307840\"] \n  1 -> 4 [size =\"6307840\"]\n  1 -> 5 [size =\"6307840\"]\n  2 [size=\"36196352\", alpha=\"0.10\", expect_size=\"18098176\"] \n  3 [size=\"36028416\", alpha=\"0.14\", expect_size=\"18014208\"] \n  3 -> 5 [size =\"18014208\"]\n  4 [size=\"56496128\", alpha=\"0.05\", expect_size=\"28248064\"] \n  4 -> 7 [size =\"28248064\"]\n  4 -> 8 [size =\"28248064\"]\n  4 -> 9 [size =\"28248064\"]\n  5 [size=\"27914240\", alpha=\"0.03\", expect_size=\"13957120\"] \n  5 -> 6 [size =\"13957120\"]\n  5 -> 9 [size =\"13957120\"]\n  6 [size=\"12595200\", alpha=\"0.03\", expect_size=\"6297600\"] \n  6 -> 11 [size =\"6297600\"]\n  7 [size=\"15656960\", alpha=\"0.18\", expect_size=\"7828480\"] \n  7 -> 10 [size =\"7828480\"]\n  7 -> 11 [size =\"7828480\"]\n  7 -> 13 [size =\"7828480\"]\n  8 [size=\"38660096\", alpha=\"0.18\", expect_size=\"19330048\"] \n  8 -> 12 [size =\"19330048\"]\n  8 -> 13 [size =\"19330048\"]\n  8 -> 13 [size =\"19330048\"]\n  9 [size=\"60319744\", alpha=\"0.00\", expect_size=\"30159872\"] \n  9 -> 11 [size =\"30159872\"]\n  10 [size=\"19671040\", alpha=\"0.05\", expect_size=\"9835520\"] \n  10 -> 14 [size =\"9835520\"]\n  10 -> 16 [size =\"9835520\"]\n  11 [size=\"14520320\", alpha=\"0.17\", expect_size=\"7260160\"] \n  11 -> 16 [size =\"7260160\"]\n  12 [size=\"21522432\", alpha=\"0.15\", expect_size=\"10761216\"] \n  12 -> 15 [size =\"10761216\"]\n  12 -> 16 [size =\"10761216\"]\n  13 [size=\"69093376\", alpha=\"0.19\", expect_size=\"34546688\"] \n  14 [size=\"42147840\", alpha=\"0.12\", expect_size=\"21073920\"] \n  14 -> 17 [size =\"21073920\"]\n  15 [size=\"67057664\", alpha=\"0.11\", expect_size=\"33528832\"] \n  16 [size=\"79095808\", alpha=\"0.03\", expect_size=\"39547904\"] \n  16 -> 17 [size =\"39547904\"]\n  17 [size=\"94005248\", alpha=\"0.17\", expect_size=\"47002624\"] \n  17 -> 18 [size =\"47002624\"]\n  18 [size=\"82870272\", alpha=\"0.12\", expect_size=\"41435136\"] \n  18 -> 19 [size =\"41435136\"]\n  19 [size=\"74444800\", alpha=\"0.06\", expect_size=\"37222400\"] \n  19 -> 20 [size =\"37222400\"]\n  19 -> 21 [size =\"37222400\"]\n  19 -> 22 [size =\"37222400\"]\n  20 [size=\"74903552\", alpha=\"0.01\", expect_size=\"37451776\"] \n  20 -> 24 [size =\"37451776\"]\n  21 [size=\"97124352\", alpha=\"0.16\", expect_size=\"48562176\"] \n  21 -> 23 [size =\"48562176\"]\n  22 [size=\"82589696\", alpha=\"0.17\", expect_size=\"41294848\"] \n  23 [size=\"57845760\", alpha=\"0.04\", expect_size=\"28922880\"] \n  23 -> 25 [size =\"28922880\"]\n  24 [size=\"51120128\", alpha=\"0.00\", expect_size=\"25560064\"] \n  25 [size=\"14968832\", alpha=\"0.00\", expect_size=\"7484416\"] \n  25 -> 26 [size =\"7484416\"]\n  26 [size=\"67055616\", alpha=\"0.01\", expect_size=\"33527808\"] \n  26 -> 27 [size =\"33527808\"]\n  26 -> 28 [size =\"33527808\"]\n  27 [size=\"79554560\", alpha=\"0.02\", expect_size=\"39777280\"] \n  27 -> 29 [size =\"39777280\"]\n  27 -> 30 [size =\"39777280\"]\n  28 [size=\"65474560\", alpha=\"0.09\", expect_size=\"32737280\"] \n  28 -> 30 [size =\"32737280\"]\n  28 -> 31 [size =\"32737280\"]\n  28 -> 32 [size =\"32737280\"]\n  29 [size=\"29298688\", alpha=\"0.07\", expect_size=\"14649344\"] \n  29 -> 33 [size =\"14649344\"]\n  30 [size=\"55373824\", alpha=\"0.07\", expect_size=\"27686912\"] \n  31 [size=\"58732544\", alpha=\"0.08\", expect_size=\"29366272\"] \n  32 [size=\"41502720\", alpha=\"0.11\", expect_size=\"20751360\"] \n  32 -> 33 [size =\"20751360\"]\n  33 [size=\"29401088\", alpha=\"0.07\", expect_size=\"14700544\"] \n  33 -> 34 [size =\"14700544\"]\n  33 -> 35 [size =\"14700544\"]\n  33 -> 36 [size =\"14700544\"]\n  34 [size=\"47966208\", alpha=\"0.09\", expect_size=\"23983104\"] \n  34 -> 37 [size =\"23983104\"]\n  35 [size=\"48840704\", alpha=\"0.04\", expect_size=\"24420352\"] \n  36 [size=\"49451008\", alpha=\"0.12\", expect_size=\"24725504\"] \n  37 [size=\"51912704\", alpha=\"0.19\", expect_size=\"25956352\"] \n  37 -> 38 [size =\"25956352\"]\n  37 -> 39 [size =\"25956352\"]\n  38 [size=\"61394944\", alpha=\"0.01\", expect_size=\"30697472\"] \n  38 -> 40 [size =\"30697472\"]\n  39 [size=\"11698176\", alpha=\"0.16\", expect_size=\"5849088\"] \n  40 [size=\"47032320\", alpha=\"0.05\", expect_size=\"23516160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42571776\", alpha=\"0.11\", expect_size=\"21285888\"] \n  1 -> 6 [size =\"21285888\"]\n  1 -> 8 [size =\"21285888\"]\n  1 -> 9 [size =\"21285888\"]\n  1 -> 10 [size =\"21285888\"]\n  2 [size=\"91504640\", alpha=\"0.00\", expect_size=\"45752320\"] \n  2 -> 6 [size =\"45752320\"]\n  2 -> 8 [size =\"45752320\"]\n  2 -> 9 [size =\"45752320\"]\n  2 -> 10 [size =\"45752320\"]\n  3 [size=\"18470912\", alpha=\"0.19\", expect_size=\"9235456\"] \n  3 -> 10 [size =\"9235456\"]\n  4 [size=\"82950144\", alpha=\"0.17\", expect_size=\"41475072\"] \n  4 -> 8 [size =\"41475072\"]\n  4 -> 9 [size =\"41475072\"]\n  4 -> 10 [size =\"41475072\"]\n  5 [size=\"35567616\", alpha=\"0.14\", expect_size=\"17783808\"] \n  5 -> 7 [size =\"17783808\"]\n  5 -> 9 [size =\"17783808\"]\n  5 -> 10 [size =\"17783808\"]\n  6 [size=\"24332288\", alpha=\"0.05\", expect_size=\"12166144\"] \n  6 -> 11 [size =\"12166144\"]\n  6 -> 12 [size =\"12166144\"]\n  6 -> 15 [size =\"12166144\"]\n  7 [size=\"22345728\", alpha=\"0.04\", expect_size=\"11172864\"] \n  7 -> 11 [size =\"11172864\"]\n  7 -> 12 [size =\"11172864\"]\n  7 -> 14 [size =\"11172864\"]\n  7 -> 15 [size =\"11172864\"]\n  8 [size=\"42012672\", alpha=\"0.12\", expect_size=\"21006336\"] \n  8 -> 11 [size =\"21006336\"]\n  8 -> 12 [size =\"21006336\"]\n  8 -> 14 [size =\"21006336\"]\n  8 -> 15 [size =\"21006336\"]\n  9 [size=\"49238016\", alpha=\"0.12\", expect_size=\"24619008\"] \n  9 -> 12 [size =\"24619008\"]\n  9 -> 13 [size =\"24619008\"]\n  9 -> 14 [size =\"24619008\"]\n  10 [size=\"50923520\", alpha=\"0.07\", expect_size=\"25461760\"] \n  10 -> 11 [size =\"25461760\"]\n  10 -> 12 [size =\"25461760\"]\n  10 -> 14 [size =\"25461760\"]\n  10 -> 15 [size =\"25461760\"]\n  11 [size=\"25720832\", alpha=\"0.15\", expect_size=\"12860416\"] \n  11 -> 19 [size =\"12860416\"]\n  11 -> 19 [size =\"12860416\"]\n  12 [size=\"79751168\", alpha=\"0.16\", expect_size=\"39875584\"] \n  12 -> 16 [size =\"39875584\"]\n  12 -> 17 [size =\"39875584\"]\n  12 -> 19 [size =\"39875584\"]\n  13 [size=\"80171008\", alpha=\"0.16\", expect_size=\"40085504\"] \n  13 -> 16 [size =\"40085504\"]\n  13 -> 18 [size =\"40085504\"]\n  13 -> 20 [size =\"40085504\"]\n  13 -> 21 [size =\"40085504\"]\n  14 [size=\"77471744\", alpha=\"0.03\", expect_size=\"38735872\"] \n  14 -> 16 [size =\"38735872\"]\n  14 -> 17 [size =\"38735872\"]\n  14 -> 18 [size =\"38735872\"]\n  14 -> 19 [size =\"38735872\"]\n  14 -> 21 [size =\"38735872\"]\n  15 [size=\"63918080\", alpha=\"0.07\", expect_size=\"31959040\"] \n  15 -> 17 [size =\"31959040\"]\n  15 -> 19 [size =\"31959040\"]\n  15 -> 20 [size =\"31959040\"]\n  15 -> 21 [size =\"31959040\"]\n  15 -> 21 [size =\"31959040\"]\n  16 [size=\"34670592\", alpha=\"0.06\", expect_size=\"17335296\"] \n  16 -> 23 [size =\"17335296\"]\n  16 -> 26 [size =\"17335296\"]\n  17 [size=\"57649152\", alpha=\"0.09\", expect_size=\"28824576\"] \n  17 -> 23 [size =\"28824576\"]\n  17 -> 25 [size =\"28824576\"]\n  18 [size=\"75526144\", alpha=\"0.09\", expect_size=\"37763072\"] \n  18 -> 22 [size =\"37763072\"]\n  18 -> 23 [size =\"37763072\"]\n  18 -> 26 [size =\"37763072\"]\n  19 [size=\"38373376\", alpha=\"0.19\", expect_size=\"19186688\"] \n  19 -> 23 [size =\"19186688\"]\n  19 -> 25 [size =\"19186688\"]\n  19 -> 26 [size =\"19186688\"]\n  20 [size=\"93839360\", alpha=\"0.18\", expect_size=\"46919680\"] \n  20 -> 23 [size =\"46919680\"]\n  20 -> 24 [size =\"46919680\"]\n  20 -> 26 [size =\"46919680\"]\n  21 [size=\"32157696\", alpha=\"0.04\", expect_size=\"16078848\"] \n  21 -> 23 [size =\"16078848\"]\n  21 -> 24 [size =\"16078848\"]\n  21 -> 26 [size =\"16078848\"]\n  22 [size=\"104300544\", alpha=\"0.07\", expect_size=\"52150272\"] \n  22 -> 28 [size =\"52150272\"]\n  22 -> 28 [size =\"52150272\"]\n  22 -> 29 [size =\"52150272\"]\n  22 -> 31 [size =\"52150272\"]\n  23 [size=\"85661696\", alpha=\"0.12\", expect_size=\"42830848\"] \n  23 -> 28 [size =\"42830848\"]\n  23 -> 30 [size =\"42830848\"]\n  23 -> 31 [size =\"42830848\"]\n  24 [size=\"66603008\", alpha=\"0.12\", expect_size=\"33301504\"] \n  24 -> 30 [size =\"33301504\"]\n  24 -> 30 [size =\"33301504\"]\n  24 -> 31 [size =\"33301504\"]\n  25 [size=\"79663104\", alpha=\"0.18\", expect_size=\"39831552\"] \n  25 -> 30 [size =\"39831552\"]\n  26 [size=\"16545792\", alpha=\"0.06\", expect_size=\"8272896\"] \n  26 -> 27 [size =\"8272896\"]\n  26 -> 28 [size =\"8272896\"]\n  27 [size=\"45484032\", alpha=\"0.17\", expect_size=\"22742016\"] \n  27 -> 33 [size =\"22742016\"]\n  27 -> 34 [size =\"22742016\"]\n  27 -> 35 [size =\"22742016\"]\n  28 [size=\"85755904\", alpha=\"0.15\", expect_size=\"42877952\"] \n  28 -> 32 [size =\"42877952\"]\n  28 -> 33 [size =\"42877952\"]\n  28 -> 34 [size =\"42877952\"]\n  28 -> 37 [size =\"42877952\"]\n  29 [size=\"32927744\", alpha=\"0.01\", expect_size=\"16463872\"] \n  29 -> 32 [size =\"16463872\"]\n  29 -> 33 [size =\"16463872\"]\n  29 -> 34 [size =\"16463872\"]\n  29 -> 35 [size =\"16463872\"]\n  29 -> 37 [size =\"16463872\"]\n  30 [size=\"25944064\", alpha=\"0.15\", expect_size=\"12972032\"] \n  30 -> 32 [size =\"12972032\"]\n  30 -> 33 [size =\"12972032\"]\n  30 -> 34 [size =\"12972032\"]\n  30 -> 35 [size =\"12972032\"]\n  30 -> 36 [size =\"12972032\"]\n  30 -> 37 [size =\"12972032\"]\n  31 [size=\"15374336\", alpha=\"0.13\", expect_size=\"7687168\"] \n  31 -> 34 [size =\"7687168\"]\n  32 [size=\"33306624\", alpha=\"0.06\", expect_size=\"16653312\"] \n  32 -> 38 [size =\"16653312\"]\n  32 -> 40 [size =\"16653312\"]\n  33 [size=\"66385920\", alpha=\"0.13\", expect_size=\"33192960\"] \n  33 -> 38 [size =\"33192960\"]\n  34 [size=\"28227584\", alpha=\"0.14\", expect_size=\"14113792\"] \n  34 -> 38 [size =\"14113792\"]\n  35 [size=\"85669888\", alpha=\"0.07\", expect_size=\"42834944\"] \n  35 -> 38 [size =\"42834944\"]\n  35 -> 39 [size =\"42834944\"]\n  36 [size=\"75051008\", alpha=\"0.05\", expect_size=\"37525504\"] \n  36 -> 39 [size =\"37525504\"]\n  37 [size=\"104589312\", alpha=\"0.12\", expect_size=\"52294656\"] \n  37 -> 38 [size =\"52294656\"]\n  37 -> 39 [size =\"52294656\"]\n  38 [size=\"91777024\", alpha=\"0.14\", expect_size=\"45888512\"] \n  39 [size=\"68136960\", alpha=\"0.01\", expect_size=\"34068480\"] \n  40 [size=\"72427520\", alpha=\"0.07\", expect_size=\"36213760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107717120\", alpha=\"0.02\", expect_size=\"43086848\"] \n  1 -> 2 [size =\"43086848\"]\n  2 [size=\"116746240\", alpha=\"0.11\", expect_size=\"46698496\"] \n  2 -> 3 [size =\"46698496\"]\n  3 [size=\"129377280\", alpha=\"0.11\", expect_size=\"51750912\"] \n  3 -> 4 [size =\"51750912\"]\n  4 [size=\"98444800\", alpha=\"0.16\", expect_size=\"39377920\"] \n  4 -> 5 [size =\"39377920\"]\n  5 [size=\"80345600\", alpha=\"0.13\", expect_size=\"32138240\"] \n  5 -> 6 [size =\"32138240\"]\n  6 [size=\"127733760\", alpha=\"0.17\", expect_size=\"51093504\"] \n  6 -> 7 [size =\"51093504\"]\n  7 [size=\"55319040\", alpha=\"0.09\", expect_size=\"22127616\"] \n  7 -> 8 [size =\"22127616\"]\n  8 [size=\"40153600\", alpha=\"0.01\", expect_size=\"16061440\"] \n  8 -> 9 [size =\"16061440\"]\n  9 [size=\"87823360\", alpha=\"0.13\", expect_size=\"35129344\"] \n  9 -> 10 [size =\"35129344\"]\n  10 [size=\"41000960\", alpha=\"0.13\", expect_size=\"16400384\"] \n  10 -> 11 [size =\"16400384\"]\n  11 [size=\"114401280\", alpha=\"0.19\", expect_size=\"45760512\"] \n  11 -> 12 [size =\"45760512\"]\n  12 [size=\"129116160\", alpha=\"0.01\", expect_size=\"51646464\"] \n  12 -> 13 [size =\"51646464\"]\n  13 [size=\"76083200\", alpha=\"0.19\", expect_size=\"30433280\"] \n  13 -> 14 [size =\"30433280\"]\n  14 [size=\"25779200\", alpha=\"0.19\", expect_size=\"10311680\"] \n  14 -> 15 [size =\"10311680\"]\n  15 [size=\"121822720\", alpha=\"0.01\", expect_size=\"48729088\"] \n  15 -> 16 [size =\"48729088\"]\n  16 [size=\"80087040\", alpha=\"0.04\", expect_size=\"32034816\"] \n  16 -> 17 [size =\"32034816\"]\n  17 [size=\"61642240\", alpha=\"0.06\", expect_size=\"24656896\"] \n  17 -> 18 [size =\"24656896\"]\n  18 [size=\"115993600\", alpha=\"0.18\", expect_size=\"46397440\"] \n  18 -> 19 [size =\"46397440\"]\n  19 [size=\"122068480\", alpha=\"0.11\", expect_size=\"48827392\"] \n  19 -> 20 [size =\"48827392\"]\n  20 [size=\"82414080\", alpha=\"0.14\", expect_size=\"32965632\"] \n  20 -> 21 [size =\"32965632\"]\n  21 [size=\"38353920\", alpha=\"0.12\", expect_size=\"15341568\"] \n  21 -> 22 [size =\"15341568\"]\n  22 [size=\"30520320\", alpha=\"0.08\", expect_size=\"12208128\"] \n  22 -> 23 [size =\"12208128\"]\n  23 [size=\"34713600\", alpha=\"0.04\", expect_size=\"13885440\"] \n  23 -> 24 [size =\"13885440\"]\n  24 [size=\"31316480\", alpha=\"0.14\", expect_size=\"12526592\"] \n  24 -> 25 [size =\"12526592\"]\n  25 [size=\"25208320\", alpha=\"0.16\", expect_size=\"10083328\"] \n  25 -> 26 [size =\"10083328\"]\n  26 [size=\"33057280\", alpha=\"0.17\", expect_size=\"13222912\"] \n  26 -> 27 [size =\"13222912\"]\n  27 [size=\"56704000\", alpha=\"0.05\", expect_size=\"22681600\"] \n  27 -> 28 [size =\"22681600\"]\n  28 [size=\"92267520\", alpha=\"0.18\", expect_size=\"36907008\"] \n  28 -> 29 [size =\"36907008\"]\n  29 [size=\"78023680\", alpha=\"0.04\", expect_size=\"31209472\"] \n  29 -> 30 [size =\"31209472\"]\n  30 [size=\"26918400\", alpha=\"0.14\", expect_size=\"10767360\"] \n  30 -> 31 [size =\"10767360\"]\n  31 [size=\"108318720\", alpha=\"0.01\", expect_size=\"43327488\"] \n  31 -> 32 [size =\"43327488\"]\n  32 [size=\"62942720\", alpha=\"0.08\", expect_size=\"25177088\"] \n  32 -> 33 [size =\"25177088\"]\n  33 [size=\"112394240\", alpha=\"0.06\", expect_size=\"44957696\"] \n  33 -> 34 [size =\"44957696\"]\n  34 [size=\"19054080\", alpha=\"0.06\", expect_size=\"7621632\"] \n  34 -> 35 [size =\"7621632\"]\n  35 [size=\"104186880\", alpha=\"0.04\", expect_size=\"41674752\"] \n  35 -> 36 [size =\"41674752\"]\n  36 [size=\"81139200\", alpha=\"0.14\", expect_size=\"32455680\"] \n  36 -> 37 [size =\"32455680\"]\n  37 [size=\"64540160\", alpha=\"0.12\", expect_size=\"25816064\"] \n  37 -> 38 [size =\"25816064\"]\n  38 [size=\"96604160\", alpha=\"0.07\", expect_size=\"38641664\"] \n  38 -> 39 [size =\"38641664\"]\n  39 [size=\"86410240\", alpha=\"0.01\", expect_size=\"34564096\"] \n  39 -> 40 [size =\"34564096\"]\n  40 [size=\"108677120\", alpha=\"0.07\", expect_size=\"43470848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47116288\", alpha=\"0.01\", expect_size=\"23558144\"] \n  1 -> 13 [size =\"23558144\"]\n  1 -> 14 [size =\"23558144\"]\n  1 -> 15 [size =\"23558144\"]\n  1 -> 17 [size =\"23558144\"]\n  1 -> 19 [size =\"23558144\"]\n  1 -> 20 [size =\"23558144\"]\n  1 -> 21 [size =\"23558144\"]\n  1 -> 22 [size =\"23558144\"]\n  1 -> 23 [size =\"23558144\"]\n  1 -> 24 [size =\"23558144\"]\n  2 [size=\"50307072\", alpha=\"0.05\", expect_size=\"25153536\"] \n  2 -> 13 [size =\"25153536\"]\n  2 -> 14 [size =\"25153536\"]\n  2 -> 16 [size =\"25153536\"]\n  2 -> 17 [size =\"25153536\"]\n  2 -> 19 [size =\"25153536\"]\n  2 -> 21 [size =\"25153536\"]\n  2 -> 23 [size =\"25153536\"]\n  2 -> 24 [size =\"25153536\"]\n  3 [size=\"31680512\", alpha=\"0.03\", expect_size=\"15840256\"] \n  3 -> 14 [size =\"15840256\"]\n  3 -> 16 [size =\"15840256\"]\n  3 -> 17 [size =\"15840256\"]\n  3 -> 18 [size =\"15840256\"]\n  3 -> 19 [size =\"15840256\"]\n  3 -> 20 [size =\"15840256\"]\n  3 -> 23 [size =\"15840256\"]\n  3 -> 24 [size =\"15840256\"]\n  4 [size=\"90898432\", alpha=\"0.04\", expect_size=\"45449216\"] \n  4 -> 17 [size =\"45449216\"]\n  4 -> 19 [size =\"45449216\"]\n  4 -> 22 [size =\"45449216\"]\n  4 -> 24 [size =\"45449216\"]\n  5 [size=\"43311104\", alpha=\"0.09\", expect_size=\"21655552\"] \n  5 -> 17 [size =\"21655552\"]\n  5 -> 18 [size =\"21655552\"]\n  5 -> 24 [size =\"21655552\"]\n  5 -> 25 [size =\"21655552\"]\n  6 [size=\"73900032\", alpha=\"0.16\", expect_size=\"36950016\"] \n  6 -> 16 [size =\"36950016\"]\n  6 -> 17 [size =\"36950016\"]\n  6 -> 21 [size =\"36950016\"]\n  6 -> 23 [size =\"36950016\"]\n  6 -> 25 [size =\"36950016\"]\n  7 [size=\"81911808\", alpha=\"0.09\", expect_size=\"40955904\"] \n  7 -> 14 [size =\"40955904\"]\n  7 -> 16 [size =\"40955904\"]\n  7 -> 20 [size =\"40955904\"]\n  7 -> 24 [size =\"40955904\"]\n  7 -> 25 [size =\"40955904\"]\n  8 [size=\"57860096\", alpha=\"0.19\", expect_size=\"28930048\"] \n  8 -> 14 [size =\"28930048\"]\n  8 -> 15 [size =\"28930048\"]\n  8 -> 18 [size =\"28930048\"]\n  8 -> 19 [size =\"28930048\"]\n  8 -> 20 [size =\"28930048\"]\n  8 -> 24 [size =\"28930048\"]\n  9 [size=\"103563264\", alpha=\"0.17\", expect_size=\"51781632\"] \n  9 -> 13 [size =\"51781632\"]\n  9 -> 14 [size =\"51781632\"]\n  9 -> 18 [size =\"51781632\"]\n  9 -> 20 [size =\"51781632\"]\n  9 -> 20 [size =\"51781632\"]\n  9 -> 23 [size =\"51781632\"]\n  10 [size=\"40493056\", alpha=\"0.11\", expect_size=\"20246528\"] \n  10 -> 18 [size =\"20246528\"]\n  10 -> 21 [size =\"20246528\"]\n  10 -> 23 [size =\"20246528\"]\n  11 [size=\"75132928\", alpha=\"0.20\", expect_size=\"37566464\"] \n  11 -> 14 [size =\"37566464\"]\n  11 -> 18 [size =\"37566464\"]\n  11 -> 19 [size =\"37566464\"]\n  11 -> 21 [size =\"37566464\"]\n  11 -> 22 [size =\"37566464\"]\n  11 -> 23 [size =\"37566464\"]\n  11 -> 24 [size =\"37566464\"]\n  12 [size=\"78258176\", alpha=\"0.12\", expect_size=\"39129088\"] \n  12 -> 19 [size =\"39129088\"]\n  12 -> 22 [size =\"39129088\"]\n  12 -> 24 [size =\"39129088\"]\n  12 -> 25 [size =\"39129088\"]\n  13 [size=\"99624960\", alpha=\"0.15\", expect_size=\"49812480\"] \n  13 -> 26 [size =\"49812480\"]\n  13 -> 27 [size =\"49812480\"]\n  13 -> 29 [size =\"49812480\"]\n  13 -> 31 [size =\"49812480\"]\n  13 -> 33 [size =\"49812480\"]\n  13 -> 36 [size =\"49812480\"]\n  13 -> 38 [size =\"49812480\"]\n  14 [size=\"20932608\", alpha=\"0.19\", expect_size=\"10466304\"] \n  14 -> 27 [size =\"10466304\"]\n  14 -> 27 [size =\"10466304\"]\n  14 -> 28 [size =\"10466304\"]\n  14 -> 33 [size =\"10466304\"]\n  15 [size=\"41029632\", alpha=\"0.11\", expect_size=\"20514816\"] \n  15 -> 27 [size =\"20514816\"]\n  15 -> 28 [size =\"20514816\"]\n  15 -> 29 [size =\"20514816\"]\n  15 -> 31 [size =\"20514816\"]\n  15 -> 34 [size =\"20514816\"]\n  15 -> 36 [size =\"20514816\"]\n  16 [size=\"83828736\", alpha=\"0.07\", expect_size=\"41914368\"] \n  16 -> 27 [size =\"41914368\"]\n  16 -> 28 [size =\"41914368\"]\n  16 -> 29 [size =\"41914368\"]\n  16 -> 30 [size =\"41914368\"]\n  16 -> 31 [size =\"41914368\"]\n  16 -> 33 [size =\"41914368\"]\n  16 -> 36 [size =\"41914368\"]\n  17 [size=\"62703616\", alpha=\"0.08\", expect_size=\"31351808\"] \n  17 -> 26 [size =\"31351808\"]\n  17 -> 27 [size =\"31351808\"]\n  17 -> 30 [size =\"31351808\"]\n  17 -> 31 [size =\"31351808\"]\n  17 -> 33 [size =\"31351808\"]\n  18 [size=\"104255488\", alpha=\"0.04\", expect_size=\"52127744\"] \n  18 -> 29 [size =\"52127744\"]\n  18 -> 30 [size =\"52127744\"]\n  18 -> 31 [size =\"52127744\"]\n  18 -> 31 [size =\"52127744\"]\n  19 [size=\"99661824\", alpha=\"0.03\", expect_size=\"49830912\"] \n  19 -> 28 [size =\"49830912\"]\n  19 -> 29 [size =\"49830912\"]\n  19 -> 30 [size =\"49830912\"]\n  19 -> 32 [size =\"49830912\"]\n  19 -> 35 [size =\"49830912\"]\n  19 -> 37 [size =\"49830912\"]\n  20 [size=\"84205568\", alpha=\"0.17\", expect_size=\"42102784\"] \n  20 -> 26 [size =\"42102784\"]\n  20 -> 27 [size =\"42102784\"]\n  20 -> 28 [size =\"42102784\"]\n  20 -> 29 [size =\"42102784\"]\n  21 [size=\"42149888\", alpha=\"0.20\", expect_size=\"21074944\"] \n  21 -> 27 [size =\"21074944\"]\n  21 -> 28 [size =\"21074944\"]\n  21 -> 31 [size =\"21074944\"]\n  21 -> 36 [size =\"21074944\"]\n  22 [size=\"41433088\", alpha=\"0.10\", expect_size=\"20716544\"] \n  22 -> 26 [size =\"20716544\"]\n  22 -> 29 [size =\"20716544\"]\n  22 -> 36 [size =\"20716544\"]\n  23 [size=\"99225600\", alpha=\"0.05\", expect_size=\"49612800\"] \n  23 -> 26 [size =\"49612800\"]\n  23 -> 29 [size =\"49612800\"]\n  23 -> 35 [size =\"49612800\"]\n  23 -> 37 [size =\"49612800\"]\n  24 [size=\"75786240\", alpha=\"0.17\", expect_size=\"37893120\"] \n  24 -> 26 [size =\"37893120\"]\n  24 -> 33 [size =\"37893120\"]\n  24 -> 36 [size =\"37893120\"]\n  24 -> 37 [size =\"37893120\"]\n  25 [size=\"71260160\", alpha=\"0.17\", expect_size=\"35630080\"] \n  25 -> 27 [size =\"35630080\"]\n  25 -> 29 [size =\"35630080\"]\n  25 -> 31 [size =\"35630080\"]\n  25 -> 32 [size =\"35630080\"]\n  25 -> 33 [size =\"35630080\"]\n  25 -> 36 [size =\"35630080\"]\n  26 [size=\"29665280\", alpha=\"0.09\", expect_size=\"14832640\"] \n  26 -> 39 [size =\"14832640\"]\n  26 -> 40 [size =\"14832640\"]\n  27 [size=\"64225280\", alpha=\"0.17\", expect_size=\"32112640\"] \n  27 -> 40 [size =\"32112640\"]\n  28 [size=\"100444160\", alpha=\"0.14\", expect_size=\"50222080\"] \n  29 [size=\"25804800\", alpha=\"0.12\", expect_size=\"12902400\"] \n  29 -> 39 [size =\"12902400\"]\n  30 [size=\"39802880\", alpha=\"0.16\", expect_size=\"19901440\"] \n  30 -> 39 [size =\"19901440\"]\n  30 -> 40 [size =\"19901440\"]\n  31 [size=\"27439104\", alpha=\"0.13\", expect_size=\"13719552\"] \n  31 -> 40 [size =\"13719552\"]\n  32 [size=\"25346048\", alpha=\"0.05\", expect_size=\"12673024\"] \n  33 [size=\"73342976\", alpha=\"0.16\", expect_size=\"36671488\"] \n  34 [size=\"98256896\", alpha=\"0.09\", expect_size=\"49128448\"] \n  34 -> 40 [size =\"49128448\"]\n  35 [size=\"86126592\", alpha=\"0.08\", expect_size=\"43063296\"] \n  35 -> 40 [size =\"43063296\"]\n  36 [size=\"69779456\", alpha=\"0.03\", expect_size=\"34889728\"] \n  36 -> 39 [size =\"34889728\"]\n  37 [size=\"18259968\", alpha=\"0.09\", expect_size=\"9129984\"] \n  38 [size=\"97363968\", alpha=\"0.15\", expect_size=\"48681984\"] \n  39 [size=\"71356416\", alpha=\"0.00\", expect_size=\"35678208\"] \n  40 [size=\"33312768\", alpha=\"0.01\", expect_size=\"16656384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24569856\", alpha=\"0.06\", expect_size=\"12284928\"] \n  1 -> 2 [size =\"12284928\"]\n  2 [size=\"102930432\", alpha=\"0.07\", expect_size=\"51465216\"] \n  2 -> 3 [size =\"51465216\"]\n  3 [size=\"46542848\", alpha=\"0.03\", expect_size=\"23271424\"] \n  3 -> 4 [size =\"23271424\"]\n  4 [size=\"66549760\", alpha=\"0.01\", expect_size=\"33274880\"] \n  4 -> 5 [size =\"33274880\"]\n  5 [size=\"46137344\", alpha=\"0.09\", expect_size=\"23068672\"] \n  5 -> 6 [size =\"23068672\"]\n  6 [size=\"37996544\", alpha=\"0.19\", expect_size=\"18998272\"] \n  6 -> 7 [size =\"18998272\"]\n  7 [size=\"83875840\", alpha=\"0.08\", expect_size=\"41937920\"] \n  7 -> 8 [size =\"41937920\"]\n  8 [size=\"57065472\", alpha=\"0.15\", expect_size=\"28532736\"] \n  8 -> 9 [size =\"28532736\"]\n  9 [size=\"84238336\", alpha=\"0.09\", expect_size=\"42119168\"] \n  9 -> 10 [size =\"42119168\"]\n  10 [size=\"103038976\", alpha=\"0.20\", expect_size=\"51519488\"] \n  10 -> 11 [size =\"51519488\"]\n  11 [size=\"22122496\", alpha=\"0.12\", expect_size=\"11061248\"] \n  11 -> 12 [size =\"11061248\"]\n  12 [size=\"51937280\", alpha=\"0.16\", expect_size=\"25968640\"] \n  12 -> 13 [size =\"25968640\"]\n  13 [size=\"87171072\", alpha=\"0.17\", expect_size=\"43585536\"] \n  13 -> 14 [size =\"43585536\"]\n  14 [size=\"102039552\", alpha=\"0.02\", expect_size=\"51019776\"] \n  14 -> 15 [size =\"51019776\"]\n  15 [size=\"12746752\", alpha=\"0.17\", expect_size=\"6373376\"] \n  15 -> 16 [size =\"6373376\"]\n  16 [size=\"52957184\", alpha=\"0.07\", expect_size=\"26478592\"] \n  16 -> 17 [size =\"26478592\"]\n  17 [size=\"48402432\", alpha=\"0.13\", expect_size=\"24201216\"] \n  17 -> 18 [size =\"24201216\"]\n  18 [size=\"85250048\", alpha=\"0.20\", expect_size=\"42625024\"] \n  18 -> 19 [size =\"42625024\"]\n  19 [size=\"59564032\", alpha=\"0.18\", expect_size=\"29782016\"] \n  19 -> 20 [size =\"29782016\"]\n  20 [size=\"101668864\", alpha=\"0.17\", expect_size=\"50834432\"] \n  20 -> 21 [size =\"50834432\"]\n  21 [size=\"99930112\", alpha=\"0.20\", expect_size=\"49965056\"] \n  21 -> 22 [size =\"49965056\"]\n  22 [size=\"62312448\", alpha=\"0.02\", expect_size=\"31156224\"] \n  22 -> 23 [size =\"31156224\"]\n  23 [size=\"45379584\", alpha=\"0.12\", expect_size=\"22689792\"] \n  23 -> 24 [size =\"22689792\"]\n  24 [size=\"32548864\", alpha=\"0.13\", expect_size=\"16274432\"] \n  24 -> 25 [size =\"16274432\"]\n  25 [size=\"39634944\", alpha=\"0.02\", expect_size=\"19817472\"] \n  25 -> 26 [size =\"19817472\"]\n  26 [size=\"27054080\", alpha=\"0.17\", expect_size=\"13527040\"] \n  26 -> 27 [size =\"13527040\"]\n  27 [size=\"59334656\", alpha=\"0.08\", expect_size=\"29667328\"] \n  27 -> 28 [size =\"29667328\"]\n  28 [size=\"28153856\", alpha=\"0.08\", expect_size=\"14076928\"] \n  28 -> 29 [size =\"14076928\"]\n  29 [size=\"26091520\", alpha=\"0.04\", expect_size=\"13045760\"] \n  29 -> 30 [size =\"13045760\"]\n  30 [size=\"15097856\", alpha=\"0.00\", expect_size=\"7548928\"] \n  30 -> 31 [size =\"7548928\"]\n  31 [size=\"96188416\", alpha=\"0.18\", expect_size=\"48094208\"] \n  31 -> 32 [size =\"48094208\"]\n  32 [size=\"94705664\", alpha=\"0.05\", expect_size=\"47352832\"] \n  32 -> 33 [size =\"47352832\"]\n  33 [size=\"103094272\", alpha=\"0.08\", expect_size=\"51547136\"] \n  33 -> 34 [size =\"51547136\"]\n  34 [size=\"63039488\", alpha=\"0.11\", expect_size=\"31519744\"] \n  34 -> 35 [size =\"31519744\"]\n  35 [size=\"30607360\", alpha=\"0.14\", expect_size=\"15303680\"] \n  35 -> 36 [size =\"15303680\"]\n  36 [size=\"41449472\", alpha=\"0.06\", expect_size=\"20724736\"] \n  36 -> 37 [size =\"20724736\"]\n  37 [size=\"28704768\", alpha=\"0.06\", expect_size=\"14352384\"] \n  37 -> 38 [size =\"14352384\"]\n  38 [size=\"65767424\", alpha=\"0.02\", expect_size=\"32883712\"] \n  38 -> 39 [size =\"32883712\"]\n  39 [size=\"104845312\", alpha=\"0.08\", expect_size=\"52422656\"] \n  39 -> 40 [size =\"52422656\"]\n  40 [size=\"30947328\", alpha=\"0.14\", expect_size=\"15473664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120693760\", alpha=\"0.05\", expect_size=\"48277504\"] \n  1 -> 8 [size =\"48277504\"]\n  1 -> 9 [size =\"48277504\"]\n  1 -> 10 [size =\"48277504\"]\n  2 [size=\"25971200\", alpha=\"0.03\", expect_size=\"10388480\"] \n  2 -> 10 [size =\"10388480\"]\n  2 -> 12 [size =\"10388480\"]\n  3 [size=\"96834560\", alpha=\"0.07\", expect_size=\"38733824\"] \n  3 -> 8 [size =\"38733824\"]\n  3 -> 11 [size =\"38733824\"]\n  3 -> 12 [size =\"38733824\"]\n  4 [size=\"95157760\", alpha=\"0.12\", expect_size=\"38063104\"] \n  4 -> 7 [size =\"38063104\"]\n  4 -> 8 [size =\"38063104\"]\n  4 -> 12 [size =\"38063104\"]\n  5 [size=\"13209600\", alpha=\"0.18\", expect_size=\"5283840\"] \n  5 -> 8 [size =\"5283840\"]\n  5 -> 10 [size =\"5283840\"]\n  5 -> 12 [size =\"5283840\"]\n  6 [size=\"71818240\", alpha=\"0.08\", expect_size=\"28727296\"] \n  6 -> 8 [size =\"28727296\"]\n  6 -> 9 [size =\"28727296\"]\n  7 [size=\"31531520\", alpha=\"0.08\", expect_size=\"12612608\"] \n  7 -> 13 [size =\"12612608\"]\n  7 -> 14 [size =\"12612608\"]\n  7 -> 16 [size =\"12612608\"]\n  8 [size=\"78443520\", alpha=\"0.19\", expect_size=\"31377408\"] \n  8 -> 13 [size =\"31377408\"]\n  8 -> 14 [size =\"31377408\"]\n  8 -> 15 [size =\"31377408\"]\n  8 -> 16 [size =\"31377408\"]\n  9 [size=\"60623360\", alpha=\"0.03\", expect_size=\"24249344\"] \n  9 -> 15 [size =\"24249344\"]\n  9 -> 16 [size =\"24249344\"]\n  9 -> 17 [size =\"24249344\"]\n  10 [size=\"32327680\", alpha=\"0.00\", expect_size=\"12931072\"] \n  11 [size=\"56005120\", alpha=\"0.12\", expect_size=\"22402048\"] \n  11 -> 13 [size =\"22402048\"]\n  12 [size=\"86013440\", alpha=\"0.12\", expect_size=\"34405376\"] \n  12 -> 16 [size =\"34405376\"]\n  13 [size=\"102597120\", alpha=\"0.13\", expect_size=\"41038848\"] \n  13 -> 19 [size =\"41038848\"]\n  13 -> 21 [size =\"41038848\"]\n  14 [size=\"23687680\", alpha=\"0.19\", expect_size=\"9475072\"] \n  14 -> 20 [size =\"9475072\"]\n  14 -> 22 [size =\"9475072\"]\n  15 [size=\"95633920\", alpha=\"0.10\", expect_size=\"38253568\"] \n  15 -> 20 [size =\"38253568\"]\n  15 -> 23 [size =\"38253568\"]\n  16 [size=\"84567040\", alpha=\"0.13\", expect_size=\"33826816\"] \n  16 -> 18 [size =\"33826816\"]\n  16 -> 20 [size =\"33826816\"]\n  16 -> 23 [size =\"33826816\"]\n  17 [size=\"130572800\", alpha=\"0.02\", expect_size=\"52229120\"] \n  17 -> 18 [size =\"52229120\"]\n  17 -> 19 [size =\"52229120\"]\n  17 -> 21 [size =\"52229120\"]\n  18 [size=\"59543040\", alpha=\"0.14\", expect_size=\"23817216\"] \n  18 -> 24 [size =\"23817216\"]\n  18 -> 27 [size =\"23817216\"]\n  18 -> 28 [size =\"23817216\"]\n  19 [size=\"56350720\", alpha=\"0.00\", expect_size=\"22540288\"] \n  19 -> 24 [size =\"22540288\"]\n  19 -> 25 [size =\"22540288\"]\n  19 -> 27 [size =\"22540288\"]\n  19 -> 28 [size =\"22540288\"]\n  19 -> 29 [size =\"22540288\"]\n  20 [size=\"74670080\", alpha=\"0.02\", expect_size=\"29868032\"] \n  20 -> 25 [size =\"29868032\"]\n  20 -> 27 [size =\"29868032\"]\n  20 -> 28 [size =\"29868032\"]\n  21 [size=\"76344320\", alpha=\"0.01\", expect_size=\"30537728\"] \n  21 -> 25 [size =\"30537728\"]\n  21 -> 28 [size =\"30537728\"]\n  22 [size=\"26278400\", alpha=\"0.03\", expect_size=\"10511360\"] \n  22 -> 24 [size =\"10511360\"]\n  22 -> 25 [size =\"10511360\"]\n  22 -> 26 [size =\"10511360\"]\n  22 -> 27 [size =\"10511360\"]\n  23 [size=\"94827520\", alpha=\"0.19\", expect_size=\"37931008\"] \n  23 -> 24 [size =\"37931008\"]\n  24 [size=\"51358720\", alpha=\"0.09\", expect_size=\"20543488\"] \n  24 -> 35 [size =\"20543488\"]\n  25 [size=\"46138880\", alpha=\"0.19\", expect_size=\"18455552\"] \n  25 -> 30 [size =\"18455552\"]\n  25 -> 32 [size =\"18455552\"]\n  25 -> 35 [size =\"18455552\"]\n  26 [size=\"106332160\", alpha=\"0.19\", expect_size=\"42532864\"] \n  26 -> 30 [size =\"42532864\"]\n  26 -> 31 [size =\"42532864\"]\n  26 -> 32 [size =\"42532864\"]\n  27 [size=\"63933440\", alpha=\"0.02\", expect_size=\"25573376\"] \n  27 -> 30 [size =\"25573376\"]\n  27 -> 34 [size =\"25573376\"]\n  28 [size=\"76221440\", alpha=\"0.16\", expect_size=\"30488576\"] \n  28 -> 30 [size =\"30488576\"]\n  28 -> 32 [size =\"30488576\"]\n  28 -> 33 [size =\"30488576\"]\n  29 [size=\"39905280\", alpha=\"0.18\", expect_size=\"15962112\"] \n  29 -> 33 [size =\"15962112\"]\n  29 -> 35 [size =\"15962112\"]\n  30 [size=\"40901120\", alpha=\"0.03\", expect_size=\"16360448\"] \n  30 -> 39 [size =\"16360448\"]\n  30 -> 39 [size =\"16360448\"]\n  30 -> 40 [size =\"16360448\"]\n  31 [size=\"50104320\", alpha=\"0.16\", expect_size=\"20041728\"] \n  31 -> 38 [size =\"20041728\"]\n  32 [size=\"57131520\", alpha=\"0.01\", expect_size=\"22852608\"] \n  32 -> 38 [size =\"22852608\"]\n  33 [size=\"74854400\", alpha=\"0.01\", expect_size=\"29941760\"] \n  33 -> 38 [size =\"29941760\"]\n  33 -> 39 [size =\"29941760\"]\n  34 [size=\"69032960\", alpha=\"0.03\", expect_size=\"27613184\"] \n  34 -> 36 [size =\"27613184\"]\n  34 -> 37 [size =\"27613184\"]\n  34 -> 39 [size =\"27613184\"]\n  35 [size=\"121720320\", alpha=\"0.19\", expect_size=\"48688128\"] \n  35 -> 37 [size =\"48688128\"]\n  35 -> 39 [size =\"48688128\"]\n  36 [size=\"115056640\", alpha=\"0.07\", expect_size=\"46022656\"] \n  37 [size=\"107752960\", alpha=\"0.16\", expect_size=\"43101184\"] \n  38 [size=\"118236160\", alpha=\"0.11\", expect_size=\"47294464\"] \n  39 [size=\"93877760\", alpha=\"0.15\", expect_size=\"37551104\"] \n  40 [size=\"82199040\", alpha=\"0.08\", expect_size=\"32879616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73549824\", alpha=\"0.03\", expect_size=\"36774912\"] \n  1 -> 6 [size =\"36774912\"]\n  1 -> 7 [size =\"36774912\"]\n  1 -> 8 [size =\"36774912\"]\n  2 [size=\"41113600\", alpha=\"0.16\", expect_size=\"20556800\"] \n  2 -> 6 [size =\"20556800\"]\n  2 -> 7 [size =\"20556800\"]\n  2 -> 8 [size =\"20556800\"]\n  3 [size=\"60332032\", alpha=\"0.11\", expect_size=\"30166016\"] \n  3 -> 5 [size =\"30166016\"]\n  3 -> 6 [size =\"30166016\"]\n  3 -> 8 [size =\"30166016\"]\n  4 [size=\"43196416\", alpha=\"0.06\", expect_size=\"21598208\"] \n  4 -> 6 [size =\"21598208\"]\n  4 -> 7 [size =\"21598208\"]\n  4 -> 8 [size =\"21598208\"]\n  5 [size=\"28622848\", alpha=\"0.18\", expect_size=\"14311424\"] \n  5 -> 9 [size =\"14311424\"]\n  5 -> 11 [size =\"14311424\"]\n  5 -> 13 [size =\"14311424\"]\n  6 [size=\"44898304\", alpha=\"0.02\", expect_size=\"22449152\"] \n  6 -> 9 [size =\"22449152\"]\n  6 -> 10 [size =\"22449152\"]\n  6 -> 12 [size =\"22449152\"]\n  7 [size=\"92991488\", alpha=\"0.15\", expect_size=\"46495744\"] \n  7 -> 9 [size =\"46495744\"]\n  7 -> 11 [size =\"46495744\"]\n  7 -> 12 [size =\"46495744\"]\n  7 -> 13 [size =\"46495744\"]\n  8 [size=\"29898752\", alpha=\"0.16\", expect_size=\"14949376\"] \n  8 -> 9 [size =\"14949376\"]\n  8 -> 11 [size =\"14949376\"]\n  8 -> 13 [size =\"14949376\"]\n  9 [size=\"34932736\", alpha=\"0.14\", expect_size=\"17466368\"] \n  9 -> 15 [size =\"17466368\"]\n  9 -> 17 [size =\"17466368\"]\n  10 [size=\"93446144\", alpha=\"0.02\", expect_size=\"46723072\"] \n  10 -> 14 [size =\"46723072\"]\n  10 -> 17 [size =\"46723072\"]\n  10 -> 20 [size =\"46723072\"]\n  11 [size=\"93511680\", alpha=\"0.01\", expect_size=\"46755840\"] \n  11 -> 17 [size =\"46755840\"]\n  11 -> 20 [size =\"46755840\"]\n  12 [size=\"11071488\", alpha=\"0.20\", expect_size=\"5535744\"] \n  12 -> 15 [size =\"5535744\"]\n  12 -> 16 [size =\"5535744\"]\n  12 -> 17 [size =\"5535744\"]\n  12 -> 18 [size =\"5535744\"]\n  12 -> 19 [size =\"5535744\"]\n  12 -> 20 [size =\"5535744\"]\n  13 [size=\"87658496\", alpha=\"0.04\", expect_size=\"43829248\"] \n  13 -> 15 [size =\"43829248\"]\n  13 -> 17 [size =\"43829248\"]\n  13 -> 18 [size =\"43829248\"]\n  13 -> 19 [size =\"43829248\"]\n  14 [size=\"45830144\", alpha=\"0.04\", expect_size=\"22915072\"] \n  14 -> 21 [size =\"22915072\"]\n  14 -> 22 [size =\"22915072\"]\n  14 -> 26 [size =\"22915072\"]\n  15 [size=\"76236800\", alpha=\"0.14\", expect_size=\"38118400\"] \n  15 -> 21 [size =\"38118400\"]\n  15 -> 22 [size =\"38118400\"]\n  15 -> 26 [size =\"38118400\"]\n  16 [size=\"66848768\", alpha=\"0.01\", expect_size=\"33424384\"] \n  16 -> 21 [size =\"33424384\"]\n  16 -> 22 [size =\"33424384\"]\n  16 -> 23 [size =\"33424384\"]\n  16 -> 24 [size =\"33424384\"]\n  16 -> 26 [size =\"33424384\"]\n  17 [size=\"77355008\", alpha=\"0.07\", expect_size=\"38677504\"] \n  17 -> 21 [size =\"38677504\"]\n  17 -> 22 [size =\"38677504\"]\n  17 -> 23 [size =\"38677504\"]\n  17 -> 25 [size =\"38677504\"]\n  17 -> 26 [size =\"38677504\"]\n  18 [size=\"52305920\", alpha=\"0.01\", expect_size=\"26152960\"] \n  18 -> 21 [size =\"26152960\"]\n  18 -> 22 [size =\"26152960\"]\n  18 -> 23 [size =\"26152960\"]\n  19 [size=\"33339392\", alpha=\"0.00\", expect_size=\"16669696\"] \n  19 -> 21 [size =\"16669696\"]\n  19 -> 23 [size =\"16669696\"]\n  19 -> 24 [size =\"16669696\"]\n  19 -> 26 [size =\"16669696\"]\n  20 [size=\"99182592\", alpha=\"0.16\", expect_size=\"49591296\"] \n  20 -> 21 [size =\"49591296\"]\n  20 -> 22 [size =\"49591296\"]\n  20 -> 23 [size =\"49591296\"]\n  20 -> 24 [size =\"49591296\"]\n  21 [size=\"15974400\", alpha=\"0.04\", expect_size=\"7987200\"] \n  21 -> 27 [size =\"7987200\"]\n  21 -> 28 [size =\"7987200\"]\n  21 -> 30 [size =\"7987200\"]\n  21 -> 32 [size =\"7987200\"]\n  22 [size=\"19675136\", alpha=\"0.20\", expect_size=\"9837568\"] \n  22 -> 28 [size =\"9837568\"]\n  22 -> 28 [size =\"9837568\"]\n  22 -> 32 [size =\"9837568\"]\n  23 [size=\"17674240\", alpha=\"0.06\", expect_size=\"8837120\"] \n  23 -> 27 [size =\"8837120\"]\n  23 -> 28 [size =\"8837120\"]\n  23 -> 30 [size =\"8837120\"]\n  23 -> 32 [size =\"8837120\"]\n  23 -> 33 [size =\"8837120\"]\n  24 [size=\"38864896\", alpha=\"0.18\", expect_size=\"19432448\"] \n  24 -> 28 [size =\"19432448\"]\n  24 -> 29 [size =\"19432448\"]\n  24 -> 30 [size =\"19432448\"]\n  24 -> 31 [size =\"19432448\"]\n  24 -> 32 [size =\"19432448\"]\n  24 -> 33 [size =\"19432448\"]\n  25 [size=\"59168768\", alpha=\"0.15\", expect_size=\"29584384\"] \n  25 -> 29 [size =\"29584384\"]\n  25 -> 29 [size =\"29584384\"]\n  25 -> 32 [size =\"29584384\"]\n  25 -> 33 [size =\"29584384\"]\n  26 [size=\"32995328\", alpha=\"0.19\", expect_size=\"16497664\"] \n  26 -> 27 [size =\"16497664\"]\n  26 -> 28 [size =\"16497664\"]\n  26 -> 29 [size =\"16497664\"]\n  26 -> 30 [size =\"16497664\"]\n  26 -> 32 [size =\"16497664\"]\n  26 -> 33 [size =\"16497664\"]\n  27 [size=\"38940672\", alpha=\"0.01\", expect_size=\"19470336\"] \n  27 -> 34 [size =\"19470336\"]\n  27 -> 36 [size =\"19470336\"]\n  27 -> 38 [size =\"19470336\"]\n  28 [size=\"71114752\", alpha=\"0.06\", expect_size=\"35557376\"] \n  28 -> 36 [size =\"35557376\"]\n  28 -> 37 [size =\"35557376\"]\n  28 -> 38 [size =\"35557376\"]\n  29 [size=\"74178560\", alpha=\"0.17\", expect_size=\"37089280\"] \n  29 -> 35 [size =\"37089280\"]\n  29 -> 36 [size =\"37089280\"]\n  29 -> 37 [size =\"37089280\"]\n  29 -> 38 [size =\"37089280\"]\n  30 [size=\"74991616\", alpha=\"0.05\", expect_size=\"37495808\"] \n  30 -> 36 [size =\"37495808\"]\n  30 -> 38 [size =\"37495808\"]\n  31 [size=\"54401024\", alpha=\"0.11\", expect_size=\"27200512\"] \n  31 -> 36 [size =\"27200512\"]\n  31 -> 37 [size =\"27200512\"]\n  31 -> 38 [size =\"27200512\"]\n  32 [size=\"75470848\", alpha=\"0.17\", expect_size=\"37735424\"] \n  32 -> 35 [size =\"37735424\"]\n  32 -> 37 [size =\"37735424\"]\n  32 -> 38 [size =\"37735424\"]\n  33 [size=\"74457088\", alpha=\"0.19\", expect_size=\"37228544\"] \n  33 -> 35 [size =\"37228544\"]\n  33 -> 36 [size =\"37228544\"]\n  34 [size=\"101208064\", alpha=\"0.09\", expect_size=\"50604032\"] \n  34 -> 39 [size =\"50604032\"]\n  34 -> 40 [size =\"50604032\"]\n  35 [size=\"94066688\", alpha=\"0.13\", expect_size=\"47033344\"] \n  36 [size=\"71168000\", alpha=\"0.09\", expect_size=\"35584000\"] \n  36 -> 40 [size =\"35584000\"]\n  37 [size=\"66926592\", alpha=\"0.19\", expect_size=\"33463296\"] \n  38 [size=\"69480448\", alpha=\"0.18\", expect_size=\"34740224\"] \n  38 -> 39 [size =\"34740224\"]\n  38 -> 40 [size =\"34740224\"]\n  39 [size=\"98240512\", alpha=\"0.01\", expect_size=\"49120256\"] \n  40 [size=\"83283968\", alpha=\"0.04\", expect_size=\"41641984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83112960\", alpha=\"0.13\", expect_size=\"33245184\"] \n  1 -> 5 [size =\"33245184\"]\n  1 -> 7 [size =\"33245184\"]\n  1 -> 8 [size =\"33245184\"]\n  1 -> 9 [size =\"33245184\"]\n  2 [size=\"101081600\", alpha=\"0.00\", expect_size=\"40432640\"] \n  2 -> 6 [size =\"40432640\"]\n  2 -> 8 [size =\"40432640\"]\n  3 [size=\"92021760\", alpha=\"0.18\", expect_size=\"36808704\"] \n  3 -> 5 [size =\"36808704\"]\n  3 -> 6 [size =\"36808704\"]\n  3 -> 8 [size =\"36808704\"]\n  4 [size=\"117089280\", alpha=\"0.17\", expect_size=\"46835712\"] \n  4 -> 5 [size =\"46835712\"]\n  5 [size=\"27356160\", alpha=\"0.02\", expect_size=\"10942464\"] \n  5 -> 14 [size =\"10942464\"]\n  5 -> 17 [size =\"10942464\"]\n  6 [size=\"108037120\", alpha=\"0.16\", expect_size=\"43214848\"] \n  6 -> 12 [size =\"43214848\"]\n  6 -> 14 [size =\"43214848\"]\n  6 -> 15 [size =\"43214848\"]\n  6 -> 16 [size =\"43214848\"]\n  7 [size=\"92672000\", alpha=\"0.17\", expect_size=\"37068800\"] \n  7 -> 11 [size =\"37068800\"]\n  7 -> 12 [size =\"37068800\"]\n  7 -> 13 [size =\"37068800\"]\n  7 -> 14 [size =\"37068800\"]\n  7 -> 15 [size =\"37068800\"]\n  8 [size=\"122741760\", alpha=\"0.04\", expect_size=\"49096704\"] \n  8 -> 11 [size =\"49096704\"]\n  8 -> 13 [size =\"49096704\"]\n  8 -> 15 [size =\"49096704\"]\n  8 -> 17 [size =\"49096704\"]\n  9 [size=\"109770240\", alpha=\"0.14\", expect_size=\"43908096\"] \n  9 -> 10 [size =\"43908096\"]\n  10 [size=\"19970560\", alpha=\"0.16\", expect_size=\"7988224\"] \n  10 -> 20 [size =\"7988224\"]\n  11 [size=\"111892480\", alpha=\"0.19\", expect_size=\"44756992\"] \n  12 [size=\"70405120\", alpha=\"0.17\", expect_size=\"28162048\"] \n  13 [size=\"71744000\", alpha=\"0.16\", expect_size=\"28697600\"] \n  13 -> 19 [size =\"28697600\"]\n  14 [size=\"57013760\", alpha=\"0.19\", expect_size=\"22805504\"] \n  14 -> 20 [size =\"22805504\"]\n  15 [size=\"37785600\", alpha=\"0.05\", expect_size=\"15114240\"] \n  15 -> 19 [size =\"15114240\"]\n  16 [size=\"50429440\", alpha=\"0.07\", expect_size=\"20171776\"] \n  16 -> 18 [size =\"20171776\"]\n  16 -> 20 [size =\"20171776\"]\n  17 [size=\"26183680\", alpha=\"0.05\", expect_size=\"10473472\"] \n  18 [size=\"124636160\", alpha=\"0.09\", expect_size=\"49854464\"] \n  18 -> 21 [size =\"49854464\"]\n  18 -> 25 [size =\"49854464\"]\n  19 [size=\"32025600\", alpha=\"0.14\", expect_size=\"12810240\"] \n  19 -> 23 [size =\"12810240\"]\n  19 -> 24 [size =\"12810240\"]\n  19 -> 25 [size =\"12810240\"]\n  20 [size=\"115100160\", alpha=\"0.02\", expect_size=\"46040064\"] \n  20 -> 21 [size =\"46040064\"]\n  20 -> 22 [size =\"46040064\"]\n  20 -> 23 [size =\"46040064\"]\n  20 -> 24 [size =\"46040064\"]\n  21 [size=\"91107840\", alpha=\"0.02\", expect_size=\"36443136\"] \n  21 -> 26 [size =\"36443136\"]\n  21 -> 27 [size =\"36443136\"]\n  22 [size=\"84531200\", alpha=\"0.17\", expect_size=\"33812480\"] \n  22 -> 26 [size =\"33812480\"]\n  22 -> 29 [size =\"33812480\"]\n  23 [size=\"68290560\", alpha=\"0.05\", expect_size=\"27316224\"] \n  23 -> 28 [size =\"27316224\"]\n  23 -> 29 [size =\"27316224\"]\n  24 [size=\"43074560\", alpha=\"0.11\", expect_size=\"17229824\"] \n  25 [size=\"35663360\", alpha=\"0.19\", expect_size=\"14265344\"] \n  25 -> 26 [size =\"14265344\"]\n  25 -> 27 [size =\"14265344\"]\n  26 [size=\"65126400\", alpha=\"0.04\", expect_size=\"26050560\"] \n  26 -> 32 [size =\"26050560\"]\n  27 [size=\"103790080\", alpha=\"0.01\", expect_size=\"41516032\"] \n  27 -> 31 [size =\"41516032\"]\n  28 [size=\"16179200\", alpha=\"0.18\", expect_size=\"6471680\"] \n  28 -> 30 [size =\"6471680\"]\n  28 -> 31 [size =\"6471680\"]\n  29 [size=\"71654400\", alpha=\"0.11\", expect_size=\"28661760\"] \n  29 -> 30 [size =\"28661760\"]\n  29 -> 31 [size =\"28661760\"]\n  30 [size=\"39162880\", alpha=\"0.04\", expect_size=\"15665152\"] \n  31 [size=\"53831680\", alpha=\"0.15\", expect_size=\"21532672\"] \n  31 -> 34 [size =\"21532672\"]\n  32 [size=\"67699200\", alpha=\"0.16\", expect_size=\"27079680\"] \n  32 -> 33 [size =\"27079680\"]\n  32 -> 35 [size =\"27079680\"]\n  33 [size=\"50780160\", alpha=\"0.06\", expect_size=\"20312064\"] \n  34 [size=\"81986560\", alpha=\"0.04\", expect_size=\"32794624\"] \n  34 -> 36 [size =\"32794624\"]\n  34 -> 37 [size =\"32794624\"]\n  34 -> 38 [size =\"32794624\"]\n  34 -> 39 [size =\"32794624\"]\n  34 -> 40 [size =\"32794624\"]\n  35 [size=\"29370880\", alpha=\"0.06\", expect_size=\"11748352\"] \n  35 -> 36 [size =\"11748352\"]\n  35 -> 37 [size =\"11748352\"]\n  35 -> 39 [size =\"11748352\"]\n  35 -> 40 [size =\"11748352\"]\n  36 [size=\"25149440\", alpha=\"0.14\", expect_size=\"10059776\"] \n  37 [size=\"46289920\", alpha=\"0.04\", expect_size=\"18515968\"] \n  38 [size=\"54392320\", alpha=\"0.14\", expect_size=\"21756928\"] \n  39 [size=\"41131520\", alpha=\"0.06\", expect_size=\"16452608\"] \n  40 [size=\"103168000\", alpha=\"0.16\", expect_size=\"41267200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113039360\", alpha=\"0.13\", expect_size=\"45215744\"] \n  1 -> 2 [size =\"45215744\"]\n  2 [size=\"116953600\", alpha=\"0.12\", expect_size=\"46781440\"] \n  2 -> 3 [size =\"46781440\"]\n  3 [size=\"66278400\", alpha=\"0.20\", expect_size=\"26511360\"] \n  3 -> 4 [size =\"26511360\"]\n  4 [size=\"95431680\", alpha=\"0.09\", expect_size=\"38172672\"] \n  4 -> 5 [size =\"38172672\"]\n  5 [size=\"60641280\", alpha=\"0.06\", expect_size=\"24256512\"] \n  5 -> 6 [size =\"24256512\"]\n  6 [size=\"29468160\", alpha=\"0.20\", expect_size=\"11787264\"] \n  6 -> 7 [size =\"11787264\"]\n  7 [size=\"33318400\", alpha=\"0.18\", expect_size=\"13327360\"] \n  7 -> 8 [size =\"13327360\"]\n  8 [size=\"47841280\", alpha=\"0.01\", expect_size=\"19136512\"] \n  8 -> 9 [size =\"19136512\"]\n  9 [size=\"61056000\", alpha=\"0.00\", expect_size=\"24422400\"] \n  9 -> 10 [size =\"24422400\"]\n  10 [size=\"94658560\", alpha=\"0.04\", expect_size=\"37863424\"] \n  10 -> 11 [size =\"37863424\"]\n  11 [size=\"55283200\", alpha=\"0.10\", expect_size=\"22113280\"] \n  11 -> 12 [size =\"22113280\"]\n  12 [size=\"129349120\", alpha=\"0.16\", expect_size=\"51739648\"] \n  12 -> 13 [size =\"51739648\"]\n  13 [size=\"83351040\", alpha=\"0.18\", expect_size=\"33340416\"] \n  13 -> 14 [size =\"33340416\"]\n  14 [size=\"83230720\", alpha=\"0.18\", expect_size=\"33292288\"] \n  14 -> 15 [size =\"33292288\"]\n  15 [size=\"19896320\", alpha=\"0.03\", expect_size=\"7958528\"] \n  15 -> 16 [size =\"7958528\"]\n  16 [size=\"54277120\", alpha=\"0.08\", expect_size=\"21710848\"] \n  16 -> 17 [size =\"21710848\"]\n  17 [size=\"51914240\", alpha=\"0.14\", expect_size=\"20765696\"] \n  17 -> 18 [size =\"20765696\"]\n  18 [size=\"41477120\", alpha=\"0.01\", expect_size=\"16590848\"] \n  18 -> 19 [size =\"16590848\"]\n  19 [size=\"46548480\", alpha=\"0.14\", expect_size=\"18619392\"] \n  19 -> 20 [size =\"18619392\"]\n  20 [size=\"49359360\", alpha=\"0.08\", expect_size=\"19743744\"] \n  20 -> 21 [size =\"19743744\"]\n  21 [size=\"70274560\", alpha=\"0.19\", expect_size=\"28109824\"] \n  21 -> 22 [size =\"28109824\"]\n  22 [size=\"127523840\", alpha=\"0.08\", expect_size=\"51009536\"] \n  22 -> 23 [size =\"51009536\"]\n  23 [size=\"103969280\", alpha=\"0.06\", expect_size=\"41587712\"] \n  23 -> 24 [size =\"41587712\"]\n  24 [size=\"90355200\", alpha=\"0.18\", expect_size=\"36142080\"] \n  24 -> 25 [size =\"36142080\"]\n  25 [size=\"81134080\", alpha=\"0.18\", expect_size=\"32453632\"] \n  25 -> 26 [size =\"32453632\"]\n  26 [size=\"98944000\", alpha=\"0.01\", expect_size=\"39577600\"] \n  26 -> 27 [size =\"39577600\"]\n  27 [size=\"26391040\", alpha=\"0.07\", expect_size=\"10556416\"] \n  27 -> 28 [size =\"10556416\"]\n  28 [size=\"108405760\", alpha=\"0.19\", expect_size=\"43362304\"] \n  28 -> 29 [size =\"43362304\"]\n  29 [size=\"117137920\", alpha=\"0.19\", expect_size=\"46855168\"] \n  29 -> 30 [size =\"46855168\"]\n  30 [size=\"80998400\", alpha=\"0.13\", expect_size=\"32399360\"] \n  30 -> 31 [size =\"32399360\"]\n  31 [size=\"129428480\", alpha=\"0.14\", expect_size=\"51771392\"] \n  31 -> 32 [size =\"51771392\"]\n  32 [size=\"126433280\", alpha=\"0.15\", expect_size=\"50573312\"] \n  32 -> 33 [size =\"50573312\"]\n  33 [size=\"57896960\", alpha=\"0.08\", expect_size=\"23158784\"] \n  33 -> 34 [size =\"23158784\"]\n  34 [size=\"94952960\", alpha=\"0.12\", expect_size=\"37981184\"] \n  34 -> 35 [size =\"37981184\"]\n  35 [size=\"83998720\", alpha=\"0.18\", expect_size=\"33599488\"] \n  35 -> 36 [size =\"33599488\"]\n  36 [size=\"72570880\", alpha=\"0.11\", expect_size=\"29028352\"] \n  36 -> 37 [size =\"29028352\"]\n  37 [size=\"77030400\", alpha=\"0.10\", expect_size=\"30812160\"] \n  37 -> 38 [size =\"30812160\"]\n  38 [size=\"117588480\", alpha=\"0.14\", expect_size=\"47035392\"] \n  38 -> 39 [size =\"47035392\"]\n  39 [size=\"111019520\", alpha=\"0.04\", expect_size=\"44407808\"] \n  39 -> 40 [size =\"44407808\"]\n  40 [size=\"105269760\", alpha=\"0.00\", expect_size=\"42107904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84021760\", alpha=\"0.04\", expect_size=\"33608704\"] \n  1 -> 31 [size =\"33608704\"]\n  1 -> 32 [size =\"33608704\"]\n  1 -> 33 [size =\"33608704\"]\n  1 -> 37 [size =\"33608704\"]\n  1 -> 38 [size =\"33608704\"]\n  1 -> 39 [size =\"33608704\"]\n  2 [size=\"27560960\", alpha=\"0.05\", expect_size=\"11024384\"] \n  2 -> 29 [size =\"11024384\"]\n  2 -> 32 [size =\"11024384\"]\n  2 -> 37 [size =\"11024384\"]\n  2 -> 37 [size =\"11024384\"]\n  2 -> 38 [size =\"11024384\"]\n  2 -> 39 [size =\"11024384\"]\n  3 [size=\"72284160\", alpha=\"0.04\", expect_size=\"28913664\"] \n  3 -> 29 [size =\"28913664\"]\n  3 -> 31 [size =\"28913664\"]\n  3 -> 37 [size =\"28913664\"]\n  3 -> 38 [size =\"28913664\"]\n  4 [size=\"48048640\", alpha=\"0.12\", expect_size=\"19219456\"] \n  4 -> 29 [size =\"19219456\"]\n  4 -> 35 [size =\"19219456\"]\n  4 -> 37 [size =\"19219456\"]\n  4 -> 38 [size =\"19219456\"]\n  5 [size=\"128455680\", alpha=\"0.03\", expect_size=\"51382272\"] \n  5 -> 29 [size =\"51382272\"]\n  5 -> 38 [size =\"51382272\"]\n  6 [size=\"123028480\", alpha=\"0.16\", expect_size=\"49211392\"] \n  6 -> 38 [size =\"49211392\"]\n  6 -> 39 [size =\"49211392\"]\n  7 [size=\"27901440\", alpha=\"0.02\", expect_size=\"11160576\"] \n  7 -> 31 [size =\"11160576\"]\n  7 -> 32 [size =\"11160576\"]\n  7 -> 35 [size =\"11160576\"]\n  7 -> 37 [size =\"11160576\"]\n  7 -> 39 [size =\"11160576\"]\n  8 [size=\"23687680\", alpha=\"0.10\", expect_size=\"9475072\"] \n  8 -> 29 [size =\"9475072\"]\n  8 -> 32 [size =\"9475072\"]\n  8 -> 38 [size =\"9475072\"]\n  9 [size=\"28469760\", alpha=\"0.16\", expect_size=\"11387904\"] \n  9 -> 29 [size =\"11387904\"]\n  9 -> 32 [size =\"11387904\"]\n  9 -> 35 [size =\"11387904\"]\n  9 -> 38 [size =\"11387904\"]\n  10 [size=\"23127040\", alpha=\"0.10\", expect_size=\"9250816\"] \n  10 -> 29 [size =\"9250816\"]\n  10 -> 32 [size =\"9250816\"]\n  10 -> 34 [size =\"9250816\"]\n  10 -> 37 [size =\"9250816\"]\n  11 [size=\"85688320\", alpha=\"0.06\", expect_size=\"34275328\"] \n  11 -> 29 [size =\"34275328\"]\n  11 -> 30 [size =\"34275328\"]\n  11 -> 37 [size =\"34275328\"]\n  11 -> 37 [size =\"34275328\"]\n  11 -> 39 [size =\"34275328\"]\n  12 [size=\"111930880\", alpha=\"0.18\", expect_size=\"44772352\"] \n  12 -> 34 [size =\"44772352\"]\n  13 [size=\"25676800\", alpha=\"0.17\", expect_size=\"10270720\"] \n  13 -> 32 [size =\"10270720\"]\n  13 -> 38 [size =\"10270720\"]\n  14 [size=\"47019520\", alpha=\"0.14\", expect_size=\"18807808\"] \n  14 -> 31 [size =\"18807808\"]\n  14 -> 32 [size =\"18807808\"]\n  14 -> 39 [size =\"18807808\"]\n  15 [size=\"120107520\", alpha=\"0.14\", expect_size=\"48043008\"] \n  15 -> 32 [size =\"48043008\"]\n  15 -> 32 [size =\"48043008\"]\n  15 -> 39 [size =\"48043008\"]\n  16 [size=\"19082240\", alpha=\"0.07\", expect_size=\"7632896\"] \n  16 -> 30 [size =\"7632896\"]\n  16 -> 39 [size =\"7632896\"]\n  17 [size=\"112307200\", alpha=\"0.14\", expect_size=\"44922880\"] \n  17 -> 29 [size =\"44922880\"]\n  17 -> 31 [size =\"44922880\"]\n  17 -> 39 [size =\"44922880\"]\n  17 -> 40 [size =\"44922880\"]\n  18 [size=\"125800960\", alpha=\"0.08\", expect_size=\"50320384\"] \n  18 -> 29 [size =\"50320384\"]\n  18 -> 37 [size =\"50320384\"]\n  18 -> 38 [size =\"50320384\"]\n  19 [size=\"64954880\", alpha=\"0.07\", expect_size=\"25981952\"] \n  19 -> 32 [size =\"25981952\"]\n  19 -> 37 [size =\"25981952\"]\n  20 [size=\"39815680\", alpha=\"0.05\", expect_size=\"15926272\"] \n  20 -> 37 [size =\"15926272\"]\n  20 -> 37 [size =\"15926272\"]\n  21 [size=\"99008000\", alpha=\"0.15\", expect_size=\"39603200\"] \n  21 -> 29 [size =\"39603200\"]\n  21 -> 31 [size =\"39603200\"]\n  22 [size=\"18967040\", alpha=\"0.07\", expect_size=\"7586816\"] \n  22 -> 29 [size =\"7586816\"]\n  22 -> 31 [size =\"7586816\"]\n  22 -> 35 [size =\"7586816\"]\n  22 -> 37 [size =\"7586816\"]\n  23 [size=\"126172160\", alpha=\"0.10\", expect_size=\"50468864\"] \n  23 -> 31 [size =\"50468864\"]\n  23 -> 35 [size =\"50468864\"]\n  23 -> 38 [size =\"50468864\"]\n  24 [size=\"107146240\", alpha=\"0.18\", expect_size=\"42858496\"] \n  24 -> 34 [size =\"42858496\"]\n  24 -> 38 [size =\"42858496\"]\n  25 [size=\"70282240\", alpha=\"0.06\", expect_size=\"28112896\"] \n  25 -> 31 [size =\"28112896\"]\n  26 [size=\"34058240\", alpha=\"0.12\", expect_size=\"13623296\"] \n  26 -> 37 [size =\"13623296\"]\n  27 [size=\"74816000\", alpha=\"0.01\", expect_size=\"29926400\"] \n  27 -> 31 [size =\"29926400\"]\n  27 -> 37 [size =\"29926400\"]\n  27 -> 39 [size =\"29926400\"]\n  28 [size=\"37294080\", alpha=\"0.12\", expect_size=\"14917632\"] \n  28 -> 29 [size =\"14917632\"]\n  28 -> 35 [size =\"14917632\"]\n  28 -> 36 [size =\"14917632\"]\n  28 -> 37 [size =\"14917632\"]\n  29 [size=\"84979200\", alpha=\"0.06\", expect_size=\"33991680\"] \n  30 [size=\"127498240\", alpha=\"0.01\", expect_size=\"50999296\"] \n  31 [size=\"39523840\", alpha=\"0.08\", expect_size=\"15809536\"] \n  32 [size=\"127900160\", alpha=\"0.12\", expect_size=\"51160064\"] \n  33 [size=\"53191680\", alpha=\"0.19\", expect_size=\"21276672\"] \n  34 [size=\"110504960\", alpha=\"0.11\", expect_size=\"44201984\"] \n  35 [size=\"98849280\", alpha=\"0.01\", expect_size=\"39539712\"] \n  36 [size=\"15613440\", alpha=\"0.12\", expect_size=\"6245376\"] \n  37 [size=\"88683520\", alpha=\"0.00\", expect_size=\"35473408\"] \n  38 [size=\"96921600\", alpha=\"0.07\", expect_size=\"38768640\"] \n  39 [size=\"50913280\", alpha=\"0.03\", expect_size=\"20365312\"] \n  40 [size=\"83985920\", alpha=\"0.04\", expect_size=\"33594368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125475840\", alpha=\"0.11\", expect_size=\"50190336\"] \n  1 -> 17 [size =\"50190336\"]\n  1 -> 20 [size =\"50190336\"]\n  1 -> 21 [size =\"50190336\"]\n  1 -> 22 [size =\"50190336\"]\n  2 [size=\"107550720\", alpha=\"0.02\", expect_size=\"43020288\"] \n  2 -> 19 [size =\"43020288\"]\n  2 -> 22 [size =\"43020288\"]\n  2 -> 25 [size =\"43020288\"]\n  3 [size=\"23585280\", alpha=\"0.02\", expect_size=\"9434112\"] \n  3 -> 18 [size =\"9434112\"]\n  3 -> 19 [size =\"9434112\"]\n  3 -> 21 [size =\"9434112\"]\n  3 -> 24 [size =\"9434112\"]\n  3 -> 25 [size =\"9434112\"]\n  4 [size=\"88491520\", alpha=\"0.09\", expect_size=\"35396608\"] \n  4 -> 18 [size =\"35396608\"]\n  4 -> 19 [size =\"35396608\"]\n  4 -> 24 [size =\"35396608\"]\n  4 -> 26 [size =\"35396608\"]\n  5 [size=\"61473280\", alpha=\"0.19\", expect_size=\"24589312\"] \n  5 -> 18 [size =\"24589312\"]\n  5 -> 21 [size =\"24589312\"]\n  5 -> 23 [size =\"24589312\"]\n  6 [size=\"74654720\", alpha=\"0.15\", expect_size=\"29861888\"] \n  6 -> 18 [size =\"29861888\"]\n  6 -> 19 [size =\"29861888\"]\n  6 -> 20 [size =\"29861888\"]\n  6 -> 21 [size =\"29861888\"]\n  6 -> 22 [size =\"29861888\"]\n  6 -> 24 [size =\"29861888\"]\n  6 -> 27 [size =\"29861888\"]\n  7 [size=\"63178240\", alpha=\"0.16\", expect_size=\"25271296\"] \n  7 -> 18 [size =\"25271296\"]\n  7 -> 19 [size =\"25271296\"]\n  7 -> 22 [size =\"25271296\"]\n  7 -> 24 [size =\"25271296\"]\n  7 -> 26 [size =\"25271296\"]\n  8 [size=\"90659840\", alpha=\"0.11\", expect_size=\"36263936\"] \n  8 -> 17 [size =\"36263936\"]\n  8 -> 18 [size =\"36263936\"]\n  8 -> 19 [size =\"36263936\"]\n  8 -> 20 [size =\"36263936\"]\n  8 -> 23 [size =\"36263936\"]\n  8 -> 24 [size =\"36263936\"]\n  8 -> 25 [size =\"36263936\"]\n  8 -> 27 [size =\"36263936\"]\n  9 [size=\"50716160\", alpha=\"0.14\", expect_size=\"20286464\"] \n  9 -> 17 [size =\"20286464\"]\n  9 -> 18 [size =\"20286464\"]\n  9 -> 20 [size =\"20286464\"]\n  9 -> 20 [size =\"20286464\"]\n  9 -> 24 [size =\"20286464\"]\n  9 -> 27 [size =\"20286464\"]\n  10 [size=\"82979840\", alpha=\"0.11\", expect_size=\"33191936\"] \n  10 -> 15 [size =\"33191936\"]\n  10 -> 17 [size =\"33191936\"]\n  10 -> 18 [size =\"33191936\"]\n  10 -> 22 [size =\"33191936\"]\n  10 -> 23 [size =\"33191936\"]\n  10 -> 27 [size =\"33191936\"]\n  11 [size=\"47631360\", alpha=\"0.02\", expect_size=\"19052544\"] \n  11 -> 17 [size =\"19052544\"]\n  11 -> 18 [size =\"19052544\"]\n  11 -> 20 [size =\"19052544\"]\n  11 -> 22 [size =\"19052544\"]\n  11 -> 23 [size =\"19052544\"]\n  11 -> 24 [size =\"19052544\"]\n  11 -> 26 [size =\"19052544\"]\n  11 -> 27 [size =\"19052544\"]\n  12 [size=\"113341440\", alpha=\"0.19\", expect_size=\"45336576\"] \n  12 -> 19 [size =\"45336576\"]\n  12 -> 20 [size =\"45336576\"]\n  12 -> 20 [size =\"45336576\"]\n  12 -> 22 [size =\"45336576\"]\n  12 -> 26 [size =\"45336576\"]\n  12 -> 27 [size =\"45336576\"]\n  13 [size=\"125634560\", alpha=\"0.03\", expect_size=\"50253824\"] \n  13 -> 16 [size =\"50253824\"]\n  13 -> 18 [size =\"50253824\"]\n  13 -> 19 [size =\"50253824\"]\n  13 -> 22 [size =\"50253824\"]\n  13 -> 23 [size =\"50253824\"]\n  13 -> 24 [size =\"50253824\"]\n  13 -> 26 [size =\"50253824\"]\n  13 -> 27 [size =\"50253824\"]\n  14 [size=\"20654080\", alpha=\"0.07\", expect_size=\"8261632\"] \n  14 -> 19 [size =\"8261632\"]\n  14 -> 20 [size =\"8261632\"]\n  14 -> 22 [size =\"8261632\"]\n  14 -> 25 [size =\"8261632\"]\n  15 [size=\"73653760\", alpha=\"0.07\", expect_size=\"29461504\"] \n  15 -> 28 [size =\"29461504\"]\n  15 -> 29 [size =\"29461504\"]\n  15 -> 31 [size =\"29461504\"]\n  15 -> 32 [size =\"29461504\"]\n  15 -> 40 [size =\"29461504\"]\n  16 [size=\"67340800\", alpha=\"0.09\", expect_size=\"26936320\"] \n  16 -> 28 [size =\"26936320\"]\n  16 -> 29 [size =\"26936320\"]\n  16 -> 30 [size =\"26936320\"]\n  16 -> 31 [size =\"26936320\"]\n  16 -> 33 [size =\"26936320\"]\n  16 -> 34 [size =\"26936320\"]\n  16 -> 37 [size =\"26936320\"]\n  17 [size=\"38284800\", alpha=\"0.19\", expect_size=\"15313920\"] \n  17 -> 29 [size =\"15313920\"]\n  17 -> 30 [size =\"15313920\"]\n  17 -> 31 [size =\"15313920\"]\n  17 -> 32 [size =\"15313920\"]\n  17 -> 33 [size =\"15313920\"]\n  17 -> 34 [size =\"15313920\"]\n  18 [size=\"16153600\", alpha=\"0.08\", expect_size=\"6461440\"] \n  18 -> 29 [size =\"6461440\"]\n  18 -> 31 [size =\"6461440\"]\n  18 -> 32 [size =\"6461440\"]\n  18 -> 34 [size =\"6461440\"]\n  18 -> 35 [size =\"6461440\"]\n  18 -> 37 [size =\"6461440\"]\n  18 -> 38 [size =\"6461440\"]\n  19 [size=\"78261760\", alpha=\"0.06\", expect_size=\"31304704\"] \n  19 -> 31 [size =\"31304704\"]\n  19 -> 33 [size =\"31304704\"]\n  19 -> 34 [size =\"31304704\"]\n  19 -> 34 [size =\"31304704\"]\n  19 -> 35 [size =\"31304704\"]\n  19 -> 37 [size =\"31304704\"]\n  19 -> 40 [size =\"31304704\"]\n  20 [size=\"41085440\", alpha=\"0.04\", expect_size=\"16434176\"] \n  20 -> 29 [size =\"16434176\"]\n  20 -> 33 [size =\"16434176\"]\n  20 -> 35 [size =\"16434176\"]\n  20 -> 37 [size =\"16434176\"]\n  21 [size=\"104296960\", alpha=\"0.00\", expect_size=\"41718784\"] \n  21 -> 29 [size =\"41718784\"]\n  21 -> 31 [size =\"41718784\"]\n  21 -> 34 [size =\"41718784\"]\n  21 -> 35 [size =\"41718784\"]\n  21 -> 40 [size =\"41718784\"]\n  22 [size=\"118428160\", alpha=\"0.13\", expect_size=\"47371264\"] \n  22 -> 29 [size =\"47371264\"]\n  22 -> 30 [size =\"47371264\"]\n  22 -> 34 [size =\"47371264\"]\n  22 -> 35 [size =\"47371264\"]\n  22 -> 37 [size =\"47371264\"]\n  22 -> 40 [size =\"47371264\"]\n  23 [size=\"114967040\", alpha=\"0.07\", expect_size=\"45986816\"] \n  23 -> 32 [size =\"45986816\"]\n  23 -> 35 [size =\"45986816\"]\n  23 -> 36 [size =\"45986816\"]\n  23 -> 37 [size =\"45986816\"]\n  23 -> 40 [size =\"45986816\"]\n  24 [size=\"15974400\", alpha=\"0.14\", expect_size=\"6389760\"] \n  24 -> 31 [size =\"6389760\"]\n  24 -> 33 [size =\"6389760\"]\n  24 -> 34 [size =\"6389760\"]\n  24 -> 35 [size =\"6389760\"]\n  24 -> 39 [size =\"6389760\"]\n  25 [size=\"59888640\", alpha=\"0.09\", expect_size=\"23955456\"] \n  25 -> 32 [size =\"23955456\"]\n  25 -> 33 [size =\"23955456\"]\n  25 -> 35 [size =\"23955456\"]\n  25 -> 36 [size =\"23955456\"]\n  25 -> 37 [size =\"23955456\"]\n  26 [size=\"102940160\", alpha=\"0.15\", expect_size=\"41176064\"] \n  26 -> 31 [size =\"41176064\"]\n  26 -> 32 [size =\"41176064\"]\n  26 -> 33 [size =\"41176064\"]\n  26 -> 39 [size =\"41176064\"]\n  26 -> 40 [size =\"41176064\"]\n  27 [size=\"39459840\", alpha=\"0.09\", expect_size=\"15783936\"] \n  27 -> 29 [size =\"15783936\"]\n  27 -> 31 [size =\"15783936\"]\n  27 -> 34 [size =\"15783936\"]\n  27 -> 35 [size =\"15783936\"]\n  27 -> 37 [size =\"15783936\"]\n  27 -> 38 [size =\"15783936\"]\n  27 -> 39 [size =\"15783936\"]\n  27 -> 40 [size =\"15783936\"]\n  28 [size=\"34895360\", alpha=\"0.16\", expect_size=\"13958144\"] \n  29 [size=\"79641600\", alpha=\"0.10\", expect_size=\"31856640\"] \n  30 [size=\"117552640\", alpha=\"0.15\", expect_size=\"47021056\"] \n  31 [size=\"21875200\", alpha=\"0.06\", expect_size=\"8750080\"] \n  32 [size=\"22942720\", alpha=\"0.15\", expect_size=\"9177088\"] \n  33 [size=\"97233920\", alpha=\"0.02\", expect_size=\"38893568\"] \n  34 [size=\"19299840\", alpha=\"0.11\", expect_size=\"7719936\"] \n  35 [size=\"100454400\", alpha=\"0.10\", expect_size=\"40181760\"] \n  36 [size=\"35169280\", alpha=\"0.18\", expect_size=\"14067712\"] \n  37 [size=\"120921600\", alpha=\"0.10\", expect_size=\"48368640\"] \n  38 [size=\"53888000\", alpha=\"0.03\", expect_size=\"21555200\"] \n  39 [size=\"29593600\", alpha=\"0.07\", expect_size=\"11837440\"] \n  40 [size=\"85644800\", alpha=\"0.16\", expect_size=\"34257920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52480000\", alpha=\"0.15\", expect_size=\"26240000\"] \n  1 -> 8 [size =\"26240000\"]\n  2 [size=\"30703616\", alpha=\"0.09\", expect_size=\"15351808\"] \n  2 -> 8 [size =\"15351808\"]\n  2 -> 10 [size =\"15351808\"]\n  3 [size=\"40816640\", alpha=\"0.07\", expect_size=\"20408320\"] \n  3 -> 10 [size =\"20408320\"]\n  4 [size=\"44826624\", alpha=\"0.18\", expect_size=\"22413312\"] \n  5 [size=\"98301952\", alpha=\"0.01\", expect_size=\"49150976\"] \n  5 -> 7 [size =\"49150976\"]\n  5 -> 8 [size =\"49150976\"]\n  6 [size=\"97058816\", alpha=\"0.13\", expect_size=\"48529408\"] \n  6 -> 9 [size =\"48529408\"]\n  6 -> 10 [size =\"48529408\"]\n  7 [size=\"94640128\", alpha=\"0.05\", expect_size=\"47320064\"] \n  7 -> 12 [size =\"47320064\"]\n  7 -> 16 [size =\"47320064\"]\n  7 -> 17 [size =\"47320064\"]\n  8 [size=\"24225792\", alpha=\"0.17\", expect_size=\"12112896\"] \n  8 -> 11 [size =\"12112896\"]\n  8 -> 12 [size =\"12112896\"]\n  8 -> 14 [size =\"12112896\"]\n  8 -> 15 [size =\"12112896\"]\n  9 [size=\"85207040\", alpha=\"0.13\", expect_size=\"42603520\"] \n  9 -> 12 [size =\"42603520\"]\n  9 -> 13 [size =\"42603520\"]\n  9 -> 15 [size =\"42603520\"]\n  10 [size=\"47216640\", alpha=\"0.03\", expect_size=\"23608320\"] \n  10 -> 14 [size =\"23608320\"]\n  10 -> 16 [size =\"23608320\"]\n  11 [size=\"49874944\", alpha=\"0.17\", expect_size=\"24937472\"] \n  11 -> 19 [size =\"24937472\"]\n  12 [size=\"27662336\", alpha=\"0.16\", expect_size=\"13831168\"] \n  13 [size=\"70053888\", alpha=\"0.05\", expect_size=\"35026944\"] \n  13 -> 20 [size =\"35026944\"]\n  13 -> 21 [size =\"35026944\"]\n  13 -> 22 [size =\"35026944\"]\n  14 [size=\"101959680\", alpha=\"0.05\", expect_size=\"50979840\"] \n  14 -> 19 [size =\"50979840\"]\n  14 -> 20 [size =\"50979840\"]\n  14 -> 22 [size =\"50979840\"]\n  14 -> 23 [size =\"50979840\"]\n  15 [size=\"94267392\", alpha=\"0.03\", expect_size=\"47133696\"] \n  15 -> 18 [size =\"47133696\"]\n  15 -> 22 [size =\"47133696\"]\n  16 [size=\"98504704\", alpha=\"0.14\", expect_size=\"49252352\"] \n  16 -> 21 [size =\"49252352\"]\n  17 [size=\"63633408\", alpha=\"0.03\", expect_size=\"31816704\"] \n  17 -> 19 [size =\"31816704\"]\n  17 -> 23 [size =\"31816704\"]\n  18 [size=\"84942848\", alpha=\"0.09\", expect_size=\"42471424\"] \n  18 -> 25 [size =\"42471424\"]\n  18 -> 28 [size =\"42471424\"]\n  19 [size=\"70096896\", alpha=\"0.20\", expect_size=\"35048448\"] \n  19 -> 24 [size =\"35048448\"]\n  19 -> 25 [size =\"35048448\"]\n  19 -> 26 [size =\"35048448\"]\n  19 -> 27 [size =\"35048448\"]\n  19 -> 30 [size =\"35048448\"]\n  20 [size=\"37160960\", alpha=\"0.09\", expect_size=\"18580480\"] \n  20 -> 25 [size =\"18580480\"]\n  20 -> 27 [size =\"18580480\"]\n  20 -> 28 [size =\"18580480\"]\n  21 [size=\"51568640\", alpha=\"0.07\", expect_size=\"25784320\"] \n  21 -> 27 [size =\"25784320\"]\n  21 -> 29 [size =\"25784320\"]\n  22 [size=\"39426048\", alpha=\"0.09\", expect_size=\"19713024\"] \n  22 -> 26 [size =\"19713024\"]\n  22 -> 28 [size =\"19713024\"]\n  23 [size=\"21422080\", alpha=\"0.18\", expect_size=\"10711040\"] \n  23 -> 25 [size =\"10711040\"]\n  23 -> 27 [size =\"10711040\"]\n  23 -> 28 [size =\"10711040\"]\n  24 [size=\"44681216\", alpha=\"0.14\", expect_size=\"22340608\"] \n  24 -> 33 [size =\"22340608\"]\n  24 -> 36 [size =\"22340608\"]\n  25 [size=\"66107392\", alpha=\"0.09\", expect_size=\"33053696\"] \n  25 -> 33 [size =\"33053696\"]\n  25 -> 34 [size =\"33053696\"]\n  25 -> 35 [size =\"33053696\"]\n  26 [size=\"78571520\", alpha=\"0.02\", expect_size=\"39285760\"] \n  26 -> 32 [size =\"39285760\"]\n  26 -> 34 [size =\"39285760\"]\n  27 [size=\"49754112\", alpha=\"0.13\", expect_size=\"24877056\"] \n  27 -> 31 [size =\"24877056\"]\n  27 -> 33 [size =\"24877056\"]\n  27 -> 34 [size =\"24877056\"]\n  27 -> 36 [size =\"24877056\"]\n  28 [size=\"63932416\", alpha=\"0.06\", expect_size=\"31966208\"] \n  28 -> 35 [size =\"31966208\"]\n  29 [size=\"14327808\", alpha=\"0.16\", expect_size=\"7163904\"] \n  29 -> 35 [size =\"7163904\"]\n  29 -> 36 [size =\"7163904\"]\n  30 [size=\"12279808\", alpha=\"0.13\", expect_size=\"6139904\"] \n  30 -> 36 [size =\"6139904\"]\n  31 [size=\"53561344\", alpha=\"0.19\", expect_size=\"26780672\"] \n  31 -> 40 [size =\"26780672\"]\n  32 [size=\"85798912\", alpha=\"0.09\", expect_size=\"42899456\"] \n  32 -> 38 [size =\"42899456\"]\n  32 -> 40 [size =\"42899456\"]\n  33 [size=\"34838528\", alpha=\"0.11\", expect_size=\"17419264\"] \n  33 -> 37 [size =\"17419264\"]\n  34 [size=\"25384960\", alpha=\"0.12\", expect_size=\"12692480\"] \n  35 [size=\"91781120\", alpha=\"0.11\", expect_size=\"45890560\"] \n  36 [size=\"38725632\", alpha=\"0.09\", expect_size=\"19362816\"] \n  36 -> 39 [size =\"19362816\"]\n  37 [size=\"47165440\", alpha=\"0.18\", expect_size=\"23582720\"] \n  38 [size=\"12513280\", alpha=\"0.03\", expect_size=\"6256640\"] \n  39 [size=\"42878976\", alpha=\"0.00\", expect_size=\"21439488\"] \n  40 [size=\"24242176\", alpha=\"0.04\", expect_size=\"12121088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100646400\", alpha=\"0.19\", expect_size=\"40258560\"] \n  1 -> 16 [size =\"40258560\"]\n  1 -> 18 [size =\"40258560\"]\n  1 -> 18 [size =\"40258560\"]\n  1 -> 19 [size =\"40258560\"]\n  1 -> 24 [size =\"40258560\"]\n  2 [size=\"43251200\", alpha=\"0.17\", expect_size=\"17300480\"] \n  2 -> 18 [size =\"17300480\"]\n  2 -> 18 [size =\"17300480\"]\n  2 -> 19 [size =\"17300480\"]\n  2 -> 23 [size =\"17300480\"]\n  3 [size=\"65062400\", alpha=\"0.15\", expect_size=\"26024960\"] \n  3 -> 17 [size =\"26024960\"]\n  3 -> 19 [size =\"26024960\"]\n  3 -> 23 [size =\"26024960\"]\n  3 -> 23 [size =\"26024960\"]\n  4 [size=\"102720000\", alpha=\"0.09\", expect_size=\"41088000\"] \n  4 -> 17 [size =\"41088000\"]\n  4 -> 19 [size =\"41088000\"]\n  4 -> 21 [size =\"41088000\"]\n  4 -> 23 [size =\"41088000\"]\n  4 -> 24 [size =\"41088000\"]\n  5 [size=\"103567360\", alpha=\"0.10\", expect_size=\"41426944\"] \n  5 -> 17 [size =\"41426944\"]\n  5 -> 23 [size =\"41426944\"]\n  5 -> 24 [size =\"41426944\"]\n  6 [size=\"50442240\", alpha=\"0.01\", expect_size=\"20176896\"] \n  6 -> 22 [size =\"20176896\"]\n  6 -> 24 [size =\"20176896\"]\n  6 -> 24 [size =\"20176896\"]\n  7 [size=\"32860160\", alpha=\"0.06\", expect_size=\"13144064\"] \n  7 -> 18 [size =\"13144064\"]\n  7 -> 19 [size =\"13144064\"]\n  7 -> 22 [size =\"13144064\"]\n  7 -> 23 [size =\"13144064\"]\n  7 -> 24 [size =\"13144064\"]\n  8 [size=\"84684800\", alpha=\"0.18\", expect_size=\"33873920\"] \n  8 -> 17 [size =\"33873920\"]\n  8 -> 18 [size =\"33873920\"]\n  8 -> 19 [size =\"33873920\"]\n  8 -> 20 [size =\"33873920\"]\n  9 [size=\"88307200\", alpha=\"0.10\", expect_size=\"35322880\"] \n  9 -> 16 [size =\"35322880\"]\n  9 -> 17 [size =\"35322880\"]\n  9 -> 18 [size =\"35322880\"]\n  9 -> 19 [size =\"35322880\"]\n  9 -> 21 [size =\"35322880\"]\n  9 -> 23 [size =\"35322880\"]\n  9 -> 24 [size =\"35322880\"]\n  10 [size=\"83852800\", alpha=\"0.10\", expect_size=\"33541120\"] \n  10 -> 17 [size =\"33541120\"]\n  10 -> 18 [size =\"33541120\"]\n  10 -> 18 [size =\"33541120\"]\n  10 -> 19 [size =\"33541120\"]\n  10 -> 22 [size =\"33541120\"]\n  10 -> 23 [size =\"33541120\"]\n  10 -> 24 [size =\"33541120\"]\n  11 [size=\"74257920\", alpha=\"0.16\", expect_size=\"29703168\"] \n  11 -> 17 [size =\"29703168\"]\n  11 -> 21 [size =\"29703168\"]\n  11 -> 24 [size =\"29703168\"]\n  12 [size=\"68290560\", alpha=\"0.07\", expect_size=\"27316224\"] \n  12 -> 19 [size =\"27316224\"]\n  12 -> 24 [size =\"27316224\"]\n  13 [size=\"49054720\", alpha=\"0.12\", expect_size=\"19621888\"] \n  13 -> 18 [size =\"19621888\"]\n  13 -> 22 [size =\"19621888\"]\n  14 [size=\"21969920\", alpha=\"0.01\", expect_size=\"8787968\"] \n  14 -> 16 [size =\"8787968\"]\n  14 -> 18 [size =\"8787968\"]\n  14 -> 23 [size =\"8787968\"]\n  14 -> 24 [size =\"8787968\"]\n  15 [size=\"72788480\", alpha=\"0.15\", expect_size=\"29115392\"] \n  15 -> 16 [size =\"29115392\"]\n  15 -> 17 [size =\"29115392\"]\n  15 -> 18 [size =\"29115392\"]\n  15 -> 19 [size =\"29115392\"]\n  15 -> 23 [size =\"29115392\"]\n  15 -> 24 [size =\"29115392\"]\n  16 [size=\"16335360\", alpha=\"0.11\", expect_size=\"6534144\"] \n  16 -> 25 [size =\"6534144\"]\n  16 -> 26 [size =\"6534144\"]\n  16 -> 31 [size =\"6534144\"]\n  16 -> 32 [size =\"6534144\"]\n  16 -> 35 [size =\"6534144\"]\n  16 -> 36 [size =\"6534144\"]\n  16 -> 38 [size =\"6534144\"]\n  16 -> 39 [size =\"6534144\"]\n  16 -> 40 [size =\"6534144\"]\n  17 [size=\"23930880\", alpha=\"0.17\", expect_size=\"9572352\"] \n  17 -> 25 [size =\"9572352\"]\n  17 -> 26 [size =\"9572352\"]\n  17 -> 28 [size =\"9572352\"]\n  17 -> 29 [size =\"9572352\"]\n  17 -> 31 [size =\"9572352\"]\n  17 -> 35 [size =\"9572352\"]\n  17 -> 36 [size =\"9572352\"]\n  17 -> 37 [size =\"9572352\"]\n  17 -> 39 [size =\"9572352\"]\n  17 -> 40 [size =\"9572352\"]\n  18 [size=\"61928960\", alpha=\"0.15\", expect_size=\"24771584\"] \n  18 -> 25 [size =\"24771584\"]\n  18 -> 26 [size =\"24771584\"]\n  18 -> 27 [size =\"24771584\"]\n  18 -> 28 [size =\"24771584\"]\n  18 -> 29 [size =\"24771584\"]\n  18 -> 32 [size =\"24771584\"]\n  18 -> 33 [size =\"24771584\"]\n  18 -> 34 [size =\"24771584\"]\n  18 -> 36 [size =\"24771584\"]\n  18 -> 38 [size =\"24771584\"]\n  19 [size=\"49617920\", alpha=\"0.12\", expect_size=\"19847168\"] \n  19 -> 25 [size =\"19847168\"]\n  19 -> 26 [size =\"19847168\"]\n  19 -> 27 [size =\"19847168\"]\n  19 -> 29 [size =\"19847168\"]\n  19 -> 30 [size =\"19847168\"]\n  19 -> 31 [size =\"19847168\"]\n  19 -> 34 [size =\"19847168\"]\n  19 -> 34 [size =\"19847168\"]\n  19 -> 36 [size =\"19847168\"]\n  19 -> 37 [size =\"19847168\"]\n  19 -> 39 [size =\"19847168\"]\n  19 -> 40 [size =\"19847168\"]\n  20 [size=\"105771520\", alpha=\"0.06\", expect_size=\"42308608\"] \n  20 -> 25 [size =\"42308608\"]\n  20 -> 26 [size =\"42308608\"]\n  20 -> 27 [size =\"42308608\"]\n  20 -> 28 [size =\"42308608\"]\n  20 -> 29 [size =\"42308608\"]\n  20 -> 30 [size =\"42308608\"]\n  20 -> 33 [size =\"42308608\"]\n  20 -> 34 [size =\"42308608\"]\n  20 -> 37 [size =\"42308608\"]\n  21 [size=\"45171200\", alpha=\"0.15\", expect_size=\"18068480\"] \n  21 -> 25 [size =\"18068480\"]\n  21 -> 26 [size =\"18068480\"]\n  21 -> 27 [size =\"18068480\"]\n  21 -> 28 [size =\"18068480\"]\n  21 -> 31 [size =\"18068480\"]\n  21 -> 32 [size =\"18068480\"]\n  21 -> 34 [size =\"18068480\"]\n  21 -> 35 [size =\"18068480\"]\n  22 [size=\"23308800\", alpha=\"0.10\", expect_size=\"9323520\"] \n  22 -> 25 [size =\"9323520\"]\n  22 -> 26 [size =\"9323520\"]\n  22 -> 27 [size =\"9323520\"]\n  22 -> 28 [size =\"9323520\"]\n  22 -> 30 [size =\"9323520\"]\n  22 -> 31 [size =\"9323520\"]\n  22 -> 34 [size =\"9323520\"]\n  22 -> 36 [size =\"9323520\"]\n  22 -> 40 [size =\"9323520\"]\n  23 [size=\"65274880\", alpha=\"0.13\", expect_size=\"26109952\"] \n  23 -> 25 [size =\"26109952\"]\n  23 -> 26 [size =\"26109952\"]\n  23 -> 27 [size =\"26109952\"]\n  23 -> 28 [size =\"26109952\"]\n  23 -> 30 [size =\"26109952\"]\n  23 -> 34 [size =\"26109952\"]\n  23 -> 35 [size =\"26109952\"]\n  23 -> 36 [size =\"26109952\"]\n  23 -> 38 [size =\"26109952\"]\n  23 -> 39 [size =\"26109952\"]\n  23 -> 40 [size =\"26109952\"]\n  24 [size=\"17612800\", alpha=\"0.11\", expect_size=\"7045120\"] \n  24 -> 25 [size =\"7045120\"]\n  24 -> 27 [size =\"7045120\"]\n  24 -> 28 [size =\"7045120\"]\n  24 -> 29 [size =\"7045120\"]\n  24 -> 30 [size =\"7045120\"]\n  24 -> 31 [size =\"7045120\"]\n  24 -> 34 [size =\"7045120\"]\n  24 -> 35 [size =\"7045120\"]\n  24 -> 36 [size =\"7045120\"]\n  24 -> 38 [size =\"7045120\"]\n  24 -> 39 [size =\"7045120\"]\n  24 -> 40 [size =\"7045120\"]\n  25 [size=\"21066240\", alpha=\"0.05\", expect_size=\"8426496\"] \n  26 [size=\"111452160\", alpha=\"0.04\", expect_size=\"44580864\"] \n  27 [size=\"56256000\", alpha=\"0.08\", expect_size=\"22502400\"] \n  28 [size=\"40793600\", alpha=\"0.03\", expect_size=\"16317440\"] \n  29 [size=\"127580160\", alpha=\"0.11\", expect_size=\"51032064\"] \n  30 [size=\"78727680\", alpha=\"0.12\", expect_size=\"31491072\"] \n  31 [size=\"114434560\", alpha=\"0.02\", expect_size=\"45773824\"] \n  32 [size=\"86307840\", alpha=\"0.02\", expect_size=\"34523136\"] \n  33 [size=\"24494080\", alpha=\"0.08\", expect_size=\"9797632\"] \n  34 [size=\"98910720\", alpha=\"0.16\", expect_size=\"39564288\"] \n  35 [size=\"45278720\", alpha=\"0.13\", expect_size=\"18111488\"] \n  36 [size=\"72025600\", alpha=\"0.11\", expect_size=\"28810240\"] \n  37 [size=\"98521600\", alpha=\"0.11\", expect_size=\"39408640\"] \n  38 [size=\"26557440\", alpha=\"0.20\", expect_size=\"10622976\"] \n  39 [size=\"45675520\", alpha=\"0.14\", expect_size=\"18270208\"] \n  40 [size=\"113113600\", alpha=\"0.04\", expect_size=\"45245440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59611136\", alpha=\"0.04\", expect_size=\"29805568\"] \n  1 -> 2 [size =\"29805568\"]\n  2 [size=\"17000448\", alpha=\"0.02\", expect_size=\"8500224\"] \n  2 -> 3 [size =\"8500224\"]\n  3 [size=\"33019904\", alpha=\"0.03\", expect_size=\"16509952\"] \n  3 -> 4 [size =\"16509952\"]\n  4 [size=\"97533952\", alpha=\"0.07\", expect_size=\"48766976\"] \n  4 -> 5 [size =\"48766976\"]\n  5 [size=\"27054080\", alpha=\"0.08\", expect_size=\"13527040\"] \n  5 -> 6 [size =\"13527040\"]\n  6 [size=\"77936640\", alpha=\"0.04\", expect_size=\"38968320\"] \n  6 -> 7 [size =\"38968320\"]\n  7 [size=\"30461952\", alpha=\"0.05\", expect_size=\"15230976\"] \n  7 -> 8 [size =\"15230976\"]\n  8 [size=\"11087872\", alpha=\"0.13\", expect_size=\"5543936\"] \n  8 -> 9 [size =\"5543936\"]\n  9 [size=\"40540160\", alpha=\"0.05\", expect_size=\"20270080\"] \n  9 -> 10 [size =\"20270080\"]\n  10 [size=\"11808768\", alpha=\"0.10\", expect_size=\"5904384\"] \n  10 -> 11 [size =\"5904384\"]\n  11 [size=\"24508416\", alpha=\"0.09\", expect_size=\"12254208\"] \n  11 -> 12 [size =\"12254208\"]\n  12 [size=\"45113344\", alpha=\"0.09\", expect_size=\"22556672\"] \n  12 -> 13 [size =\"22556672\"]\n  13 [size=\"56459264\", alpha=\"0.11\", expect_size=\"28229632\"] \n  13 -> 14 [size =\"28229632\"]\n  14 [size=\"71172096\", alpha=\"0.04\", expect_size=\"35586048\"] \n  14 -> 15 [size =\"35586048\"]\n  15 [size=\"104034304\", alpha=\"0.01\", expect_size=\"52017152\"] \n  15 -> 16 [size =\"52017152\"]\n  16 [size=\"46729216\", alpha=\"0.15\", expect_size=\"23364608\"] \n  16 -> 17 [size =\"23364608\"]\n  17 [size=\"64135168\", alpha=\"0.18\", expect_size=\"32067584\"] \n  17 -> 18 [size =\"32067584\"]\n  18 [size=\"88694784\", alpha=\"0.13\", expect_size=\"44347392\"] \n  18 -> 19 [size =\"44347392\"]\n  19 [size=\"57276416\", alpha=\"0.17\", expect_size=\"28638208\"] \n  19 -> 20 [size =\"28638208\"]\n  20 [size=\"82176000\", alpha=\"0.10\", expect_size=\"41088000\"] \n  20 -> 21 [size =\"41088000\"]\n  21 [size=\"33454080\", alpha=\"0.13\", expect_size=\"16727040\"] \n  21 -> 22 [size =\"16727040\"]\n  22 [size=\"76218368\", alpha=\"0.18\", expect_size=\"38109184\"] \n  22 -> 23 [size =\"38109184\"]\n  23 [size=\"24084480\", alpha=\"0.07\", expect_size=\"12042240\"] \n  23 -> 24 [size =\"12042240\"]\n  24 [size=\"73889792\", alpha=\"0.15\", expect_size=\"36944896\"] \n  24 -> 25 [size =\"36944896\"]\n  25 [size=\"90877952\", alpha=\"0.06\", expect_size=\"45438976\"] \n  25 -> 26 [size =\"45438976\"]\n  26 [size=\"95920128\", alpha=\"0.11\", expect_size=\"47960064\"] \n  26 -> 27 [size =\"47960064\"]\n  27 [size=\"70092800\", alpha=\"0.01\", expect_size=\"35046400\"] \n  27 -> 28 [size =\"35046400\"]\n  28 [size=\"60936192\", alpha=\"0.11\", expect_size=\"30468096\"] \n  28 -> 29 [size =\"30468096\"]\n  29 [size=\"28850176\", alpha=\"0.07\", expect_size=\"14425088\"] \n  29 -> 30 [size =\"14425088\"]\n  30 [size=\"16730112\", alpha=\"0.04\", expect_size=\"8365056\"] \n  30 -> 31 [size =\"8365056\"]\n  31 [size=\"64440320\", alpha=\"0.03\", expect_size=\"32220160\"] \n  31 -> 32 [size =\"32220160\"]\n  32 [size=\"32362496\", alpha=\"0.10\", expect_size=\"16181248\"] \n  32 -> 33 [size =\"16181248\"]\n  33 [size=\"21387264\", alpha=\"0.07\", expect_size=\"10693632\"] \n  33 -> 34 [size =\"10693632\"]\n  34 [size=\"54044672\", alpha=\"0.16\", expect_size=\"27022336\"] \n  34 -> 35 [size =\"27022336\"]\n  35 [size=\"28645376\", alpha=\"0.05\", expect_size=\"14322688\"] \n  35 -> 36 [size =\"14322688\"]\n  36 [size=\"56127488\", alpha=\"0.02\", expect_size=\"28063744\"] \n  36 -> 37 [size =\"28063744\"]\n  37 [size=\"15202304\", alpha=\"0.10\", expect_size=\"7601152\"] \n  37 -> 38 [size =\"7601152\"]\n  38 [size=\"20219904\", alpha=\"0.15\", expect_size=\"10109952\"] \n  38 -> 39 [size =\"10109952\"]\n  39 [size=\"71782400\", alpha=\"0.10\", expect_size=\"35891200\"] \n  39 -> 40 [size =\"35891200\"]\n  40 [size=\"11202560\", alpha=\"0.00\", expect_size=\"5601280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50411520\", alpha=\"0.17\", expect_size=\"15123456\"] \n  2 [size=\"173738667\", alpha=\"0.18\", expect_size=\"52121600\"] \n  2 -> 4 [size =\"52121600\"]\n  3 [size=\"42581333\", alpha=\"0.08\", expect_size=\"12774400\"] \n  3 -> 4 [size =\"12774400\"]\n  3 -> 5 [size =\"12774400\"]\n  3 -> 6 [size =\"12774400\"]\n  4 [size=\"89326933\", alpha=\"0.07\", expect_size=\"26798080\"] \n  4 -> 8 [size =\"26798080\"]\n  5 [size=\"122279253\", alpha=\"0.11\", expect_size=\"36683776\"] \n  5 -> 7 [size =\"36683776\"]\n  6 [size=\"51002027\", alpha=\"0.18\", expect_size=\"15300608\"] \n  6 -> 7 [size =\"15300608\"]\n  7 [size=\"130464427\", alpha=\"0.15\", expect_size=\"39139328\"] \n  7 -> 10 [size =\"39139328\"]\n  8 [size=\"91549013\", alpha=\"0.10\", expect_size=\"27464704\"] \n  8 -> 9 [size =\"27464704\"]\n  8 -> 11 [size =\"27464704\"]\n  9 [size=\"153296213\", alpha=\"0.09\", expect_size=\"45988864\"] \n  9 -> 13 [size =\"45988864\"]\n  10 [size=\"69123413\", alpha=\"0.13\", expect_size=\"20737024\"] \n  10 -> 12 [size =\"20737024\"]\n  11 [size=\"89173333\", alpha=\"0.15\", expect_size=\"26752000\"] \n  11 -> 12 [size =\"26752000\"]\n  12 [size=\"63109120\", alpha=\"0.14\", expect_size=\"18932736\"] \n  12 -> 14 [size =\"18932736\"]\n  12 -> 16 [size =\"18932736\"]\n  13 [size=\"43902293\", alpha=\"0.09\", expect_size=\"13170688\"] \n  13 -> 15 [size =\"13170688\"]\n  13 -> 17 [size =\"13170688\"]\n  14 [size=\"105475413\", alpha=\"0.04\", expect_size=\"31642624\"] \n  15 [size=\"157835947\", alpha=\"0.05\", expect_size=\"47350784\"] \n  15 -> 18 [size =\"47350784\"]\n  15 -> 20 [size =\"47350784\"]\n  16 [size=\"88183467\", alpha=\"0.19\", expect_size=\"26455040\"] \n  16 -> 18 [size =\"26455040\"]\n  16 -> 19 [size =\"26455040\"]\n  17 [size=\"69096107\", alpha=\"0.17\", expect_size=\"20728832\"] \n  17 -> 19 [size =\"20728832\"]\n  18 [size=\"30740480\", alpha=\"0.16\", expect_size=\"9222144\"] \n  19 [size=\"106987520\", alpha=\"0.10\", expect_size=\"32096256\"] \n  20 [size=\"19712000\", alpha=\"0.12\", expect_size=\"5913600\"] \n  20 -> 21 [size =\"5913600\"]\n  21 [size=\"118155947\", alpha=\"0.19\", expect_size=\"35446784\"] \n  21 -> 22 [size =\"35446784\"]\n  21 -> 23 [size =\"35446784\"]\n  21 -> 24 [size =\"35446784\"]\n  22 [size=\"80165547\", alpha=\"0.06\", expect_size=\"24049664\"] \n  22 -> 25 [size =\"24049664\"]\n  22 -> 26 [size =\"24049664\"]\n  23 [size=\"34041173\", alpha=\"0.16\", expect_size=\"10212352\"] \n  23 -> 25 [size =\"10212352\"]\n  24 [size=\"106850987\", alpha=\"0.15\", expect_size=\"32055296\"] \n  24 -> 26 [size =\"32055296\"]\n  25 [size=\"138885120\", alpha=\"0.07\", expect_size=\"41665536\"] \n  25 -> 28 [size =\"41665536\"]\n  26 [size=\"23470080\", alpha=\"0.04\", expect_size=\"7041024\"] \n  26 -> 27 [size =\"7041024\"]\n  26 -> 29 [size =\"7041024\"]\n  27 [size=\"170663253\", alpha=\"0.15\", expect_size=\"51198976\"] \n  27 -> 30 [size =\"51198976\"]\n  28 [size=\"148817920\", alpha=\"0.15\", expect_size=\"44645376\"] \n  29 [size=\"116995413\", alpha=\"0.13\", expect_size=\"35098624\"] \n  29 -> 31 [size =\"35098624\"]\n  29 -> 32 [size =\"35098624\"]\n  29 -> 33 [size =\"35098624\"]\n  30 [size=\"34706773\", alpha=\"0.17\", expect_size=\"10412032\"] \n  31 [size=\"130710187\", alpha=\"0.11\", expect_size=\"39213056\"] \n  31 -> 35 [size =\"39213056\"]\n  32 [size=\"123364693\", alpha=\"0.10\", expect_size=\"37009408\"] \n  33 [size=\"168942933\", alpha=\"0.12\", expect_size=\"50682880\"] \n  33 -> 34 [size =\"50682880\"]\n  33 -> 35 [size =\"50682880\"]\n  34 [size=\"135256747\", alpha=\"0.06\", expect_size=\"40577024\"] \n  34 -> 36 [size =\"40577024\"]\n  35 [size=\"94167040\", alpha=\"0.18\", expect_size=\"28250112\"] \n  35 -> 37 [size =\"28250112\"]\n  36 [size=\"150476800\", alpha=\"0.18\", expect_size=\"45143040\"] \n  36 -> 38 [size =\"45143040\"]\n  36 -> 39 [size =\"45143040\"]\n  37 [size=\"23135573\", alpha=\"0.05\", expect_size=\"6940672\"] \n  38 [size=\"139711147\", alpha=\"0.14\", expect_size=\"41913344\"] \n  38 -> 40 [size =\"41913344\"]\n  39 [size=\"102413653\", alpha=\"0.14\", expect_size=\"30724096\"] \n  40 [size=\"47069867\", alpha=\"0.15\", expect_size=\"14120960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78108160\", alpha=\"0.05\", expect_size=\"31243264\"] \n  1 -> 9 [size =\"31243264\"]\n  2 [size=\"120276480\", alpha=\"0.13\", expect_size=\"48110592\"] \n  2 -> 5 [size =\"48110592\"]\n  2 -> 8 [size =\"48110592\"]\n  2 -> 9 [size =\"48110592\"]\n  2 -> 10 [size =\"48110592\"]\n  3 [size=\"117603840\", alpha=\"0.19\", expect_size=\"47041536\"] \n  3 -> 5 [size =\"47041536\"]\n  3 -> 10 [size =\"47041536\"]\n  4 [size=\"79738880\", alpha=\"0.18\", expect_size=\"31895552\"] \n  4 -> 6 [size =\"31895552\"]\n  4 -> 7 [size =\"31895552\"]\n  5 [size=\"52922880\", alpha=\"0.03\", expect_size=\"21169152\"] \n  5 -> 11 [size =\"21169152\"]\n  5 -> 12 [size =\"21169152\"]\n  5 -> 14 [size =\"21169152\"]\n  6 [size=\"46988800\", alpha=\"0.05\", expect_size=\"18795520\"] \n  6 -> 11 [size =\"18795520\"]\n  6 -> 12 [size =\"18795520\"]\n  6 -> 13 [size =\"18795520\"]\n  7 [size=\"97062400\", alpha=\"0.04\", expect_size=\"38824960\"] \n  7 -> 12 [size =\"38824960\"]\n  7 -> 16 [size =\"38824960\"]\n  8 [size=\"37196800\", alpha=\"0.10\", expect_size=\"14878720\"] \n  8 -> 13 [size =\"14878720\"]\n  8 -> 14 [size =\"14878720\"]\n  8 -> 15 [size =\"14878720\"]\n  8 -> 16 [size =\"14878720\"]\n  9 [size=\"114780160\", alpha=\"0.10\", expect_size=\"45912064\"] \n  10 [size=\"121728000\", alpha=\"0.04\", expect_size=\"48691200\"] \n  10 -> 13 [size =\"48691200\"]\n  11 [size=\"29084160\", alpha=\"0.10\", expect_size=\"11633664\"] \n  11 -> 17 [size =\"11633664\"]\n  12 [size=\"61012480\", alpha=\"0.07\", expect_size=\"24404992\"] \n  12 -> 19 [size =\"24404992\"]\n  13 [size=\"17576960\", alpha=\"0.19\", expect_size=\"7030784\"] \n  14 [size=\"130060800\", alpha=\"0.10\", expect_size=\"52024320\"] \n  15 [size=\"118494720\", alpha=\"0.18\", expect_size=\"47397888\"] \n  15 -> 18 [size =\"47397888\"]\n  15 -> 19 [size =\"47397888\"]\n  16 [size=\"16471040\", alpha=\"0.08\", expect_size=\"6588416\"] \n  16 -> 19 [size =\"6588416\"]\n  17 [size=\"48207360\", alpha=\"0.16\", expect_size=\"19282944\"] \n  18 [size=\"72148480\", alpha=\"0.07\", expect_size=\"28859392\"] \n  18 -> 20 [size =\"28859392\"]\n  19 [size=\"13176320\", alpha=\"0.10\", expect_size=\"5270528\"] \n  19 -> 21 [size =\"5270528\"]\n  19 -> 22 [size =\"5270528\"]\n  20 [size=\"74401280\", alpha=\"0.10\", expect_size=\"29760512\"] \n  20 -> 23 [size =\"29760512\"]\n  20 -> 25 [size =\"29760512\"]\n  20 -> 27 [size =\"29760512\"]\n  20 -> 28 [size =\"29760512\"]\n  21 [size=\"99676160\", alpha=\"0.01\", expect_size=\"39870464\"] \n  21 -> 24 [size =\"39870464\"]\n  21 -> 26 [size =\"39870464\"]\n  22 [size=\"39288320\", alpha=\"0.10\", expect_size=\"15715328\"] \n  22 -> 23 [size =\"15715328\"]\n  22 -> 25 [size =\"15715328\"]\n  22 -> 26 [size =\"15715328\"]\n  22 -> 29 [size =\"15715328\"]\n  23 [size=\"80158720\", alpha=\"0.17\", expect_size=\"32063488\"] \n  23 -> 35 [size =\"32063488\"]\n  23 -> 36 [size =\"32063488\"]\n  24 [size=\"73541120\", alpha=\"0.15\", expect_size=\"29416448\"] \n  24 -> 35 [size =\"29416448\"]\n  25 [size=\"17346560\", alpha=\"0.20\", expect_size=\"6938624\"] \n  25 -> 30 [size =\"6938624\"]\n  25 -> 31 [size =\"6938624\"]\n  25 -> 33 [size =\"6938624\"]\n  25 -> 36 [size =\"6938624\"]\n  26 [size=\"123069440\", alpha=\"0.10\", expect_size=\"49227776\"] \n  27 [size=\"53109760\", alpha=\"0.15\", expect_size=\"21243904\"] \n  27 -> 32 [size =\"21243904\"]\n  27 -> 33 [size =\"21243904\"]\n  28 [size=\"30520320\", alpha=\"0.04\", expect_size=\"12208128\"] \n  28 -> 31 [size =\"12208128\"]\n  28 -> 34 [size =\"12208128\"]\n  29 [size=\"71836160\", alpha=\"0.10\", expect_size=\"28734464\"] \n  29 -> 31 [size =\"28734464\"]\n  29 -> 36 [size =\"28734464\"]\n  30 [size=\"14720000\", alpha=\"0.14\", expect_size=\"5888000\"] \n  30 -> 38 [size =\"5888000\"]\n  31 [size=\"74608640\", alpha=\"0.02\", expect_size=\"29843456\"] \n  32 [size=\"80570880\", alpha=\"0.17\", expect_size=\"32228352\"] \n  32 -> 37 [size =\"32228352\"]\n  33 [size=\"21808640\", alpha=\"0.13\", expect_size=\"8723456\"] \n  33 -> 37 [size =\"8723456\"]\n  33 -> 39 [size =\"8723456\"]\n  33 -> 40 [size =\"8723456\"]\n  34 [size=\"120791040\", alpha=\"0.09\", expect_size=\"48316416\"] \n  35 [size=\"90250240\", alpha=\"0.03\", expect_size=\"36100096\"] \n  36 [size=\"87974400\", alpha=\"0.17\", expect_size=\"35189760\"] \n  36 -> 37 [size =\"35189760\"]\n  36 -> 39 [size =\"35189760\"]\n  37 [size=\"29877760\", alpha=\"0.17\", expect_size=\"11951104\"] \n  38 [size=\"117882880\", alpha=\"0.08\", expect_size=\"47153152\"] \n  39 [size=\"22184960\", alpha=\"0.18\", expect_size=\"8873984\"] \n  40 [size=\"80389120\", alpha=\"0.19\", expect_size=\"32155648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31707136\", alpha=\"0.18\", expect_size=\"15853568\"] \n  1 -> 30 [size =\"15853568\"]\n  1 -> 32 [size =\"15853568\"]\n  1 -> 36 [size =\"15853568\"]\n  1 -> 37 [size =\"15853568\"]\n  1 -> 40 [size =\"15853568\"]\n  2 [size=\"35289088\", alpha=\"0.06\", expect_size=\"17644544\"] \n  2 -> 28 [size =\"17644544\"]\n  2 -> 34 [size =\"17644544\"]\n  2 -> 36 [size =\"17644544\"]\n  2 -> 40 [size =\"17644544\"]\n  2 -> 40 [size =\"17644544\"]\n  3 [size=\"25223168\", alpha=\"0.16\", expect_size=\"12611584\"] \n  3 -> 32 [size =\"12611584\"]\n  3 -> 36 [size =\"12611584\"]\n  3 -> 40 [size =\"12611584\"]\n  3 -> 40 [size =\"12611584\"]\n  4 [size=\"31770624\", alpha=\"0.15\", expect_size=\"15885312\"] \n  4 -> 32 [size =\"15885312\"]\n  4 -> 38 [size =\"15885312\"]\n  4 -> 40 [size =\"15885312\"]\n  5 [size=\"44578816\", alpha=\"0.16\", expect_size=\"22289408\"] \n  5 -> 28 [size =\"22289408\"]\n  5 -> 29 [size =\"22289408\"]\n  5 -> 40 [size =\"22289408\"]\n  6 [size=\"18454528\", alpha=\"0.14\", expect_size=\"9227264\"] \n  6 -> 29 [size =\"9227264\"]\n  6 -> 29 [size =\"9227264\"]\n  6 -> 33 [size =\"9227264\"]\n  6 -> 35 [size =\"9227264\"]\n  7 [size=\"55023616\", alpha=\"0.11\", expect_size=\"27511808\"] \n  7 -> 28 [size =\"27511808\"]\n  7 -> 30 [size =\"27511808\"]\n  7 -> 33 [size =\"27511808\"]\n  7 -> 36 [size =\"27511808\"]\n  7 -> 40 [size =\"27511808\"]\n  8 [size=\"12144640\", alpha=\"0.04\", expect_size=\"6072320\"] \n  8 -> 29 [size =\"6072320\"]\n  8 -> 40 [size =\"6072320\"]\n  9 [size=\"68761600\", alpha=\"0.17\", expect_size=\"34380800\"] \n  9 -> 28 [size =\"34380800\"]\n  9 -> 35 [size =\"34380800\"]\n  10 [size=\"87494656\", alpha=\"0.08\", expect_size=\"43747328\"] \n  10 -> 28 [size =\"43747328\"]\n  10 -> 30 [size =\"43747328\"]\n  11 [size=\"38547456\", alpha=\"0.01\", expect_size=\"19273728\"] \n  11 -> 28 [size =\"19273728\"]\n  11 -> 29 [size =\"19273728\"]\n  11 -> 32 [size =\"19273728\"]\n  12 [size=\"31371264\", alpha=\"0.19\", expect_size=\"15685632\"] \n  12 -> 28 [size =\"15685632\"]\n  12 -> 29 [size =\"15685632\"]\n  12 -> 30 [size =\"15685632\"]\n  12 -> 36 [size =\"15685632\"]\n  13 [size=\"59791360\", alpha=\"0.08\", expect_size=\"29895680\"] \n  13 -> 28 [size =\"29895680\"]\n  13 -> 32 [size =\"29895680\"]\n  13 -> 33 [size =\"29895680\"]\n  13 -> 40 [size =\"29895680\"]\n  14 [size=\"39530496\", alpha=\"0.11\", expect_size=\"19765248\"] \n  14 -> 30 [size =\"19765248\"]\n  14 -> 40 [size =\"19765248\"]\n  15 [size=\"14067712\", alpha=\"0.11\", expect_size=\"7033856\"] \n  15 -> 28 [size =\"7033856\"]\n  15 -> 30 [size =\"7033856\"]\n  15 -> 32 [size =\"7033856\"]\n  15 -> 35 [size =\"7033856\"]\n  15 -> 36 [size =\"7033856\"]\n  15 -> 40 [size =\"7033856\"]\n  16 [size=\"90558464\", alpha=\"0.00\", expect_size=\"45279232\"] \n  16 -> 33 [size =\"45279232\"]\n  16 -> 36 [size =\"45279232\"]\n  17 [size=\"63950848\", alpha=\"0.09\", expect_size=\"31975424\"] \n  17 -> 29 [size =\"31975424\"]\n  17 -> 33 [size =\"31975424\"]\n  18 [size=\"19736576\", alpha=\"0.09\", expect_size=\"9868288\"] \n  18 -> 29 [size =\"9868288\"]\n  18 -> 30 [size =\"9868288\"]\n  18 -> 36 [size =\"9868288\"]\n  18 -> 38 [size =\"9868288\"]\n  19 [size=\"40148992\", alpha=\"0.14\", expect_size=\"20074496\"] \n  19 -> 28 [size =\"20074496\"]\n  19 -> 29 [size =\"20074496\"]\n  19 -> 30 [size =\"20074496\"]\n  19 -> 34 [size =\"20074496\"]\n  19 -> 36 [size =\"20074496\"]\n  20 [size=\"28256256\", alpha=\"0.19\", expect_size=\"14128128\"] \n  20 -> 29 [size =\"14128128\"]\n  20 -> 30 [size =\"14128128\"]\n  20 -> 31 [size =\"14128128\"]\n  20 -> 33 [size =\"14128128\"]\n  20 -> 36 [size =\"14128128\"]\n  20 -> 40 [size =\"14128128\"]\n  21 [size=\"64550912\", alpha=\"0.09\", expect_size=\"32275456\"] \n  21 -> 30 [size =\"32275456\"]\n  21 -> 30 [size =\"32275456\"]\n  21 -> 31 [size =\"32275456\"]\n  21 -> 32 [size =\"32275456\"]\n  21 -> 36 [size =\"32275456\"]\n  21 -> 38 [size =\"32275456\"]\n  21 -> 39 [size =\"32275456\"]\n  22 [size=\"68292608\", alpha=\"0.03\", expect_size=\"34146304\"] \n  22 -> 28 [size =\"34146304\"]\n  22 -> 33 [size =\"34146304\"]\n  22 -> 35 [size =\"34146304\"]\n  23 [size=\"63752192\", alpha=\"0.01\", expect_size=\"31876096\"] \n  23 -> 28 [size =\"31876096\"]\n  24 [size=\"100450304\", alpha=\"0.04\", expect_size=\"50225152\"] \n  24 -> 28 [size =\"50225152\"]\n  24 -> 29 [size =\"50225152\"]\n  24 -> 32 [size =\"50225152\"]\n  24 -> 35 [size =\"50225152\"]\n  24 -> 36 [size =\"50225152\"]\n  25 [size=\"57264128\", alpha=\"0.13\", expect_size=\"28632064\"] \n  25 -> 28 [size =\"28632064\"]\n  25 -> 29 [size =\"28632064\"]\n  25 -> 32 [size =\"28632064\"]\n  25 -> 36 [size =\"28632064\"]\n  25 -> 36 [size =\"28632064\"]\n  25 -> 40 [size =\"28632064\"]\n  26 [size=\"14792704\", alpha=\"0.05\", expect_size=\"7396352\"] \n  26 -> 29 [size =\"7396352\"]\n  26 -> 29 [size =\"7396352\"]\n  26 -> 30 [size =\"7396352\"]\n  26 -> 36 [size =\"7396352\"]\n  27 [size=\"15282176\", alpha=\"0.05\", expect_size=\"7641088\"] \n  27 -> 28 [size =\"7641088\"]\n  27 -> 29 [size =\"7641088\"]\n  27 -> 30 [size =\"7641088\"]\n  27 -> 40 [size =\"7641088\"]\n  28 [size=\"59930624\", alpha=\"0.07\", expect_size=\"29965312\"] \n  29 [size=\"100249600\", alpha=\"0.20\", expect_size=\"50124800\"] \n  30 [size=\"72032256\", alpha=\"0.10\", expect_size=\"36016128\"] \n  31 [size=\"67524608\", alpha=\"0.06\", expect_size=\"33762304\"] \n  32 [size=\"13580288\", alpha=\"0.06\", expect_size=\"6790144\"] \n  33 [size=\"29374464\", alpha=\"0.16\", expect_size=\"14687232\"] \n  34 [size=\"35274752\", alpha=\"0.13\", expect_size=\"17637376\"] \n  35 [size=\"52566016\", alpha=\"0.11\", expect_size=\"26283008\"] \n  36 [size=\"20973568\", alpha=\"0.05\", expect_size=\"10486784\"] \n  37 [size=\"42833920\", alpha=\"0.11\", expect_size=\"21416960\"] \n  38 [size=\"68315136\", alpha=\"0.19\", expect_size=\"34157568\"] \n  39 [size=\"99078144\", alpha=\"0.13\", expect_size=\"49539072\"] \n  40 [size=\"99026944\", alpha=\"0.11\", expect_size=\"49513472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46103040\", alpha=\"0.16\", expect_size=\"18441216\"] \n  1 -> 7 [size =\"18441216\"]\n  1 -> 8 [size =\"18441216\"]\n  1 -> 9 [size =\"18441216\"]\n  1 -> 10 [size =\"18441216\"]\n  2 [size=\"20674560\", alpha=\"0.17\", expect_size=\"8269824\"] \n  2 -> 8 [size =\"8269824\"]\n  2 -> 8 [size =\"8269824\"]\n  2 -> 9 [size =\"8269824\"]\n  3 [size=\"55795200\", alpha=\"0.04\", expect_size=\"22318080\"] \n  3 -> 8 [size =\"22318080\"]\n  3 -> 9 [size =\"22318080\"]\n  3 -> 9 [size =\"22318080\"]\n  3 -> 10 [size =\"22318080\"]\n  4 [size=\"87818240\", alpha=\"0.11\", expect_size=\"35127296\"] \n  4 -> 9 [size =\"35127296\"]\n  4 -> 10 [size =\"35127296\"]\n  5 [size=\"88650240\", alpha=\"0.19\", expect_size=\"35460096\"] \n  5 -> 6 [size =\"35460096\"]\n  6 [size=\"47006720\", alpha=\"0.14\", expect_size=\"18802688\"] \n  6 -> 11 [size =\"18802688\"]\n  6 -> 12 [size =\"18802688\"]\n  7 [size=\"21237760\", alpha=\"0.02\", expect_size=\"8495104\"] \n  7 -> 11 [size =\"8495104\"]\n  7 -> 12 [size =\"8495104\"]\n  7 -> 14 [size =\"8495104\"]\n  7 -> 15 [size =\"8495104\"]\n  8 [size=\"128765440\", alpha=\"0.06\", expect_size=\"51506176\"] \n  8 -> 11 [size =\"51506176\"]\n  8 -> 13 [size =\"51506176\"]\n  8 -> 14 [size =\"51506176\"]\n  8 -> 15 [size =\"51506176\"]\n  9 [size=\"47723520\", alpha=\"0.12\", expect_size=\"19089408\"] \n  9 -> 11 [size =\"19089408\"]\n  9 -> 14 [size =\"19089408\"]\n  9 -> 14 [size =\"19089408\"]\n  9 -> 15 [size =\"19089408\"]\n  10 [size=\"23930880\", alpha=\"0.05\", expect_size=\"9572352\"] \n  10 -> 13 [size =\"9572352\"]\n  11 [size=\"129902080\", alpha=\"0.07\", expect_size=\"51960832\"] \n  11 -> 18 [size =\"51960832\"]\n  11 -> 19 [size =\"51960832\"]\n  12 [size=\"107770880\", alpha=\"0.07\", expect_size=\"43108352\"] \n  12 -> 17 [size =\"43108352\"]\n  12 -> 18 [size =\"43108352\"]\n  12 -> 19 [size =\"43108352\"]\n  13 [size=\"89264640\", alpha=\"0.16\", expect_size=\"35705856\"] \n  13 -> 17 [size =\"35705856\"]\n  13 -> 18 [size =\"35705856\"]\n  13 -> 19 [size =\"35705856\"]\n  13 -> 20 [size =\"35705856\"]\n  14 [size=\"111042560\", alpha=\"0.13\", expect_size=\"44417024\"] \n  14 -> 16 [size =\"44417024\"]\n  14 -> 17 [size =\"44417024\"]\n  14 -> 18 [size =\"44417024\"]\n  14 -> 19 [size =\"44417024\"]\n  14 -> 20 [size =\"44417024\"]\n  15 [size=\"58480640\", alpha=\"0.05\", expect_size=\"23392256\"] \n  15 -> 17 [size =\"23392256\"]\n  15 -> 18 [size =\"23392256\"]\n  15 -> 19 [size =\"23392256\"]\n  16 [size=\"52828160\", alpha=\"0.13\", expect_size=\"21131264\"] \n  16 -> 21 [size =\"21131264\"]\n  16 -> 22 [size =\"21131264\"]\n  16 -> 23 [size =\"21131264\"]\n  16 -> 27 [size =\"21131264\"]\n  17 [size=\"16573440\", alpha=\"0.17\", expect_size=\"6629376\"] \n  17 -> 21 [size =\"6629376\"]\n  17 -> 22 [size =\"6629376\"]\n  17 -> 24 [size =\"6629376\"]\n  17 -> 25 [size =\"6629376\"]\n  17 -> 26 [size =\"6629376\"]\n  17 -> 27 [size =\"6629376\"]\n  18 [size=\"26048000\", alpha=\"0.08\", expect_size=\"10419200\"] \n  18 -> 22 [size =\"10419200\"]\n  18 -> 27 [size =\"10419200\"]\n  19 [size=\"62850560\", alpha=\"0.05\", expect_size=\"25140224\"] \n  19 -> 21 [size =\"25140224\"]\n  19 -> 22 [size =\"25140224\"]\n  19 -> 23 [size =\"25140224\"]\n  19 -> 24 [size =\"25140224\"]\n  19 -> 26 [size =\"25140224\"]\n  19 -> 27 [size =\"25140224\"]\n  20 [size=\"17162240\", alpha=\"0.07\", expect_size=\"6864896\"] \n  20 -> 21 [size =\"6864896\"]\n  20 -> 22 [size =\"6864896\"]\n  20 -> 24 [size =\"6864896\"]\n  20 -> 24 [size =\"6864896\"]\n  20 -> 26 [size =\"6864896\"]\n  21 [size=\"47109120\", alpha=\"0.14\", expect_size=\"18843648\"] \n  21 -> 28 [size =\"18843648\"]\n  22 [size=\"90621440\", alpha=\"0.02\", expect_size=\"36248576\"] \n  22 -> 28 [size =\"36248576\"]\n  22 -> 31 [size =\"36248576\"]\n  23 [size=\"130245120\", alpha=\"0.18\", expect_size=\"52098048\"] \n  23 -> 28 [size =\"52098048\"]\n  24 [size=\"103869440\", alpha=\"0.06\", expect_size=\"41547776\"] \n  24 -> 28 [size =\"41547776\"]\n  24 -> 30 [size =\"41547776\"]\n  25 [size=\"60840960\", alpha=\"0.07\", expect_size=\"24336384\"] \n  25 -> 28 [size =\"24336384\"]\n  25 -> 30 [size =\"24336384\"]\n  26 [size=\"88335360\", alpha=\"0.14\", expect_size=\"35334144\"] \n  26 -> 29 [size =\"35334144\"]\n  27 [size=\"49761280\", alpha=\"0.03\", expect_size=\"19904512\"] \n  27 -> 28 [size =\"19904512\"]\n  27 -> 29 [size =\"19904512\"]\n  27 -> 30 [size =\"19904512\"]\n  28 [size=\"34496000\", alpha=\"0.10\", expect_size=\"13798400\"] \n  28 -> 32 [size =\"13798400\"]\n  28 -> 34 [size =\"13798400\"]\n  28 -> 35 [size =\"13798400\"]\n  28 -> 37 [size =\"13798400\"]\n  29 [size=\"80998400\", alpha=\"0.04\", expect_size=\"32399360\"] \n  29 -> 32 [size =\"32399360\"]\n  29 -> 34 [size =\"32399360\"]\n  29 -> 35 [size =\"32399360\"]\n  29 -> 36 [size =\"32399360\"]\n  30 [size=\"111298560\", alpha=\"0.20\", expect_size=\"44519424\"] \n  30 -> 32 [size =\"44519424\"]\n  30 -> 34 [size =\"44519424\"]\n  31 [size=\"32803840\", alpha=\"0.15\", expect_size=\"13121536\"] \n  31 -> 32 [size =\"13121536\"]\n  31 -> 33 [size =\"13121536\"]\n  31 -> 34 [size =\"13121536\"]\n  31 -> 37 [size =\"13121536\"]\n  32 [size=\"114439680\", alpha=\"0.07\", expect_size=\"45775872\"] \n  33 [size=\"127843840\", alpha=\"0.11\", expect_size=\"51137536\"] \n  33 -> 39 [size =\"51137536\"]\n  34 [size=\"115706880\", alpha=\"0.12\", expect_size=\"46282752\"] \n  34 -> 40 [size =\"46282752\"]\n  35 [size=\"34775040\", alpha=\"0.01\", expect_size=\"13910016\"] \n  35 -> 40 [size =\"13910016\"]\n  36 [size=\"78563840\", alpha=\"0.16\", expect_size=\"31425536\"] \n  36 -> 38 [size =\"31425536\"]\n  36 -> 40 [size =\"31425536\"]\n  37 [size=\"45038080\", alpha=\"0.12\", expect_size=\"18015232\"] \n  38 [size=\"60293120\", alpha=\"0.10\", expect_size=\"24117248\"] \n  39 [size=\"122030080\", alpha=\"0.17\", expect_size=\"48812032\"] \n  40 [size=\"28930560\", alpha=\"0.04\", expect_size=\"11572224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61856427\", alpha=\"0.12\", expect_size=\"18556928\"] \n  1 -> 2 [size =\"18556928\"]\n  2 [size=\"103468373\", alpha=\"0.19\", expect_size=\"31040512\"] \n  2 -> 3 [size =\"31040512\"]\n  3 [size=\"80435200\", alpha=\"0.12\", expect_size=\"24130560\"] \n  3 -> 4 [size =\"24130560\"]\n  4 [size=\"39188480\", alpha=\"0.18\", expect_size=\"11756544\"] \n  4 -> 5 [size =\"11756544\"]\n  5 [size=\"148855467\", alpha=\"0.18\", expect_size=\"44656640\"] \n  5 -> 6 [size =\"44656640\"]\n  6 [size=\"52630187\", alpha=\"0.18\", expect_size=\"15789056\"] \n  6 -> 7 [size =\"15789056\"]\n  7 [size=\"143155200\", alpha=\"0.10\", expect_size=\"42946560\"] \n  7 -> 8 [size =\"42946560\"]\n  8 [size=\"102266880\", alpha=\"0.04\", expect_size=\"30680064\"] \n  8 -> 9 [size =\"30680064\"]\n  9 [size=\"130792107\", alpha=\"0.12\", expect_size=\"39237632\"] \n  9 -> 10 [size =\"39237632\"]\n  10 [size=\"104775680\", alpha=\"0.10\", expect_size=\"31432704\"] \n  10 -> 11 [size =\"31432704\"]\n  11 [size=\"139584853\", alpha=\"0.14\", expect_size=\"41875456\"] \n  11 -> 12 [size =\"41875456\"]\n  12 [size=\"77414400\", alpha=\"0.18\", expect_size=\"23224320\"] \n  12 -> 13 [size =\"23224320\"]\n  13 [size=\"68710400\", alpha=\"0.12\", expect_size=\"20613120\"] \n  13 -> 14 [size =\"20613120\"]\n  14 [size=\"163198293\", alpha=\"0.03\", expect_size=\"48959488\"] \n  14 -> 15 [size =\"48959488\"]\n  15 [size=\"144199680\", alpha=\"0.02\", expect_size=\"43259904\"] \n  15 -> 16 [size =\"43259904\"]\n  16 [size=\"128686080\", alpha=\"0.14\", expect_size=\"38605824\"] \n  16 -> 17 [size =\"38605824\"]\n  17 [size=\"110028800\", alpha=\"0.10\", expect_size=\"33008640\"] \n  17 -> 18 [size =\"33008640\"]\n  18 [size=\"28228267\", alpha=\"0.11\", expect_size=\"8468480\"] \n  18 -> 19 [size =\"8468480\"]\n  19 [size=\"62248960\", alpha=\"0.15\", expect_size=\"18674688\"] \n  19 -> 20 [size =\"18674688\"]\n  20 [size=\"159375360\", alpha=\"0.08\", expect_size=\"47812608\"] \n  20 -> 21 [size =\"47812608\"]\n  21 [size=\"81558187\", alpha=\"0.08\", expect_size=\"24467456\"] \n  21 -> 22 [size =\"24467456\"]\n  22 [size=\"37857280\", alpha=\"0.18\", expect_size=\"11357184\"] \n  22 -> 23 [size =\"11357184\"]\n  23 [size=\"19459413\", alpha=\"0.16\", expect_size=\"5837824\"] \n  23 -> 24 [size =\"5837824\"]\n  24 [size=\"112018773\", alpha=\"0.17\", expect_size=\"33605632\"] \n  24 -> 25 [size =\"33605632\"]\n  25 [size=\"138444800\", alpha=\"0.15\", expect_size=\"41533440\"] \n  25 -> 26 [size =\"41533440\"]\n  26 [size=\"154214400\", alpha=\"0.17\", expect_size=\"46264320\"] \n  26 -> 27 [size =\"46264320\"]\n  27 [size=\"103492267\", alpha=\"0.15\", expect_size=\"31047680\"] \n  27 -> 28 [size =\"31047680\"]\n  28 [size=\"26781013\", alpha=\"0.04\", expect_size=\"8034304\"] \n  28 -> 29 [size =\"8034304\"]\n  29 [size=\"113418240\", alpha=\"0.07\", expect_size=\"34025472\"] \n  29 -> 30 [size =\"34025472\"]\n  30 [size=\"71178240\", alpha=\"0.02\", expect_size=\"21353472\"] \n  30 -> 31 [size =\"21353472\"]\n  31 [size=\"136301227\", alpha=\"0.12\", expect_size=\"40890368\"] \n  31 -> 32 [size =\"40890368\"]\n  32 [size=\"38591147\", alpha=\"0.09\", expect_size=\"11577344\"] \n  32 -> 33 [size =\"11577344\"]\n  33 [size=\"21329920\", alpha=\"0.13\", expect_size=\"6398976\"] \n  33 -> 34 [size =\"6398976\"]\n  34 [size=\"147479893\", alpha=\"0.16\", expect_size=\"44243968\"] \n  34 -> 35 [size =\"44243968\"]\n  35 [size=\"124180480\", alpha=\"0.15\", expect_size=\"37254144\"] \n  35 -> 36 [size =\"37254144\"]\n  36 [size=\"82814293\", alpha=\"0.08\", expect_size=\"24844288\"] \n  36 -> 37 [size =\"24844288\"]\n  37 [size=\"58535253\", alpha=\"0.12\", expect_size=\"17560576\"] \n  37 -> 38 [size =\"17560576\"]\n  38 [size=\"19735893\", alpha=\"0.18\", expect_size=\"5920768\"] \n  38 -> 39 [size =\"5920768\"]\n  39 [size=\"51210240\", alpha=\"0.10\", expect_size=\"15363072\"] \n  39 -> 40 [size =\"15363072\"]\n  40 [size=\"108987733\", alpha=\"0.20\", expect_size=\"32696320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23910400\", alpha=\"0.12\", expect_size=\"7173120\"] \n  1 -> 9 [size =\"7173120\"]\n  1 -> 12 [size =\"7173120\"]\n  1 -> 18 [size =\"7173120\"]\n  1 -> 20 [size =\"7173120\"]\n  2 [size=\"109697707\", alpha=\"0.09\", expect_size=\"32909312\"] \n  2 -> 9 [size =\"32909312\"]\n  2 -> 14 [size =\"32909312\"]\n  2 -> 18 [size =\"32909312\"]\n  2 -> 20 [size =\"32909312\"]\n  3 [size=\"74072747\", alpha=\"0.12\", expect_size=\"22221824\"] \n  3 -> 11 [size =\"22221824\"]\n  3 -> 12 [size =\"22221824\"]\n  3 -> 13 [size =\"22221824\"]\n  3 -> 16 [size =\"22221824\"]\n  3 -> 20 [size =\"22221824\"]\n  4 [size=\"27183787\", alpha=\"0.16\", expect_size=\"8155136\"] \n  4 -> 10 [size =\"8155136\"]\n  4 -> 13 [size =\"8155136\"]\n  4 -> 15 [size =\"8155136\"]\n  5 [size=\"84288853\", alpha=\"0.03\", expect_size=\"25286656\"] \n  5 -> 10 [size =\"25286656\"]\n  5 -> 16 [size =\"25286656\"]\n  6 [size=\"51793920\", alpha=\"0.16\", expect_size=\"15538176\"] \n  6 -> 12 [size =\"15538176\"]\n  6 -> 15 [size =\"15538176\"]\n  7 [size=\"61945173\", alpha=\"0.07\", expect_size=\"18583552\"] \n  7 -> 10 [size =\"18583552\"]\n  7 -> 12 [size =\"18583552\"]\n  7 -> 13 [size =\"18583552\"]\n  7 -> 15 [size =\"18583552\"]\n  7 -> 17 [size =\"18583552\"]\n  7 -> 19 [size =\"18583552\"]\n  7 -> 20 [size =\"18583552\"]\n  8 [size=\"38338560\", alpha=\"0.20\", expect_size=\"11501568\"] \n  8 -> 13 [size =\"11501568\"]\n  8 -> 15 [size =\"11501568\"]\n  8 -> 18 [size =\"11501568\"]\n  9 [size=\"171141120\", alpha=\"0.00\", expect_size=\"51342336\"] \n  9 -> 21 [size =\"51342336\"]\n  9 -> 28 [size =\"51342336\"]\n  9 -> 32 [size =\"51342336\"]\n  10 [size=\"40492373\", alpha=\"0.11\", expect_size=\"12147712\"] \n  10 -> 22 [size =\"12147712\"]\n  10 -> 28 [size =\"12147712\"]\n  11 [size=\"132625067\", alpha=\"0.03\", expect_size=\"39787520\"] \n  11 -> 28 [size =\"39787520\"]\n  11 -> 31 [size =\"39787520\"]\n  12 [size=\"68205227\", alpha=\"0.13\", expect_size=\"20461568\"] \n  12 -> 23 [size =\"20461568\"]\n  12 -> 24 [size =\"20461568\"]\n  12 -> 27 [size =\"20461568\"]\n  12 -> 31 [size =\"20461568\"]\n  13 [size=\"140465493\", alpha=\"0.08\", expect_size=\"42139648\"] \n  13 -> 22 [size =\"42139648\"]\n  13 -> 25 [size =\"42139648\"]\n  14 [size=\"74195627\", alpha=\"0.14\", expect_size=\"22258688\"] \n  14 -> 25 [size =\"22258688\"]\n  14 -> 28 [size =\"22258688\"]\n  14 -> 32 [size =\"22258688\"]\n  15 [size=\"40567467\", alpha=\"0.18\", expect_size=\"12170240\"] \n  15 -> 23 [size =\"12170240\"]\n  15 -> 24 [size =\"12170240\"]\n  15 -> 28 [size =\"12170240\"]\n  15 -> 32 [size =\"12170240\"]\n  16 [size=\"62566400\", alpha=\"0.07\", expect_size=\"18769920\"] \n  16 -> 25 [size =\"18769920\"]\n  16 -> 27 [size =\"18769920\"]\n  16 -> 30 [size =\"18769920\"]\n  16 -> 31 [size =\"18769920\"]\n  16 -> 32 [size =\"18769920\"]\n  17 [size=\"34884267\", alpha=\"0.13\", expect_size=\"10465280\"] \n  17 -> 24 [size =\"10465280\"]\n  17 -> 26 [size =\"10465280\"]\n  17 -> 29 [size =\"10465280\"]\n  17 -> 31 [size =\"10465280\"]\n  17 -> 33 [size =\"10465280\"]\n  18 [size=\"92904107\", alpha=\"0.01\", expect_size=\"27871232\"] \n  18 -> 21 [size =\"27871232\"]\n  18 -> 22 [size =\"27871232\"]\n  18 -> 24 [size =\"27871232\"]\n  19 [size=\"91593387\", alpha=\"0.06\", expect_size=\"27478016\"] \n  19 -> 22 [size =\"27478016\"]\n  19 -> 32 [size =\"27478016\"]\n  20 [size=\"91839147\", alpha=\"0.01\", expect_size=\"27551744\"] \n  20 -> 21 [size =\"27551744\"]\n  20 -> 24 [size =\"27551744\"]\n  20 -> 27 [size =\"27551744\"]\n  20 -> 28 [size =\"27551744\"]\n  20 -> 31 [size =\"27551744\"]\n  21 [size=\"21589333\", alpha=\"0.16\", expect_size=\"6476800\"] \n  21 -> 37 [size =\"6476800\"]\n  22 [size=\"45882027\", alpha=\"0.03\", expect_size=\"13764608\"] \n  22 -> 34 [size =\"13764608\"]\n  22 -> 36 [size =\"13764608\"]\n  23 [size=\"149633707\", alpha=\"0.18\", expect_size=\"44890112\"] \n  24 [size=\"51486720\", alpha=\"0.13\", expect_size=\"15446016\"] \n  25 [size=\"163198293\", alpha=\"0.17\", expect_size=\"48959488\"] \n  26 [size=\"148780373\", alpha=\"0.05\", expect_size=\"44634112\"] \n  26 -> 34 [size =\"44634112\"]\n  26 -> 36 [size =\"44634112\"]\n  27 [size=\"46240427\", alpha=\"0.19\", expect_size=\"13872128\"] \n  27 -> 34 [size =\"13872128\"]\n  27 -> 40 [size =\"13872128\"]\n  28 [size=\"145742507\", alpha=\"0.16\", expect_size=\"43722752\"] \n  28 -> 35 [size =\"43722752\"]\n  28 -> 36 [size =\"43722752\"]\n  28 -> 38 [size =\"43722752\"]\n  29 [size=\"154668373\", alpha=\"0.12\", expect_size=\"46400512\"] \n  29 -> 36 [size =\"46400512\"]\n  29 -> 36 [size =\"46400512\"]\n  29 -> 39 [size =\"46400512\"]\n  30 [size=\"46622720\", alpha=\"0.12\", expect_size=\"13986816\"] \n  30 -> 35 [size =\"13986816\"]\n  30 -> 39 [size =\"13986816\"]\n  31 [size=\"52910080\", alpha=\"0.05\", expect_size=\"15873024\"] \n  31 -> 37 [size =\"15873024\"]\n  32 [size=\"22678187\", alpha=\"0.06\", expect_size=\"6803456\"] \n  32 -> 38 [size =\"6803456\"]\n  33 [size=\"48155307\", alpha=\"0.01\", expect_size=\"14446592\"] \n  33 -> 38 [size =\"14446592\"]\n  34 [size=\"28644693\", alpha=\"0.05\", expect_size=\"8593408\"] \n  35 [size=\"131147093\", alpha=\"0.11\", expect_size=\"39344128\"] \n  36 [size=\"107905707\", alpha=\"0.02\", expect_size=\"32371712\"] \n  37 [size=\"150521173\", alpha=\"0.16\", expect_size=\"45156352\"] \n  38 [size=\"146182827\", alpha=\"0.20\", expect_size=\"43854848\"] \n  39 [size=\"115749547\", alpha=\"0.13\", expect_size=\"34724864\"] \n  40 [size=\"55606613\", alpha=\"0.15\", expect_size=\"16681984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38566400\", alpha=\"0.11\", expect_size=\"15426560\"] \n  1 -> 3 [size =\"15426560\"]\n  1 -> 5 [size =\"15426560\"]\n  2 [size=\"21573120\", alpha=\"0.03\", expect_size=\"8629248\"] \n  2 -> 3 [size =\"8629248\"]\n  2 -> 4 [size =\"8629248\"]\n  3 [size=\"14504960\", alpha=\"0.01\", expect_size=\"5801984\"] \n  3 -> 7 [size =\"5801984\"]\n  4 [size=\"110558720\", alpha=\"0.03\", expect_size=\"44223488\"] \n  4 -> 6 [size =\"44223488\"]\n  5 [size=\"114938880\", alpha=\"0.10\", expect_size=\"45975552\"] \n  5 -> 6 [size =\"45975552\"]\n  6 [size=\"90519040\", alpha=\"0.05\", expect_size=\"36207616\"] \n  6 -> 8 [size =\"36207616\"]\n  6 -> 9 [size =\"36207616\"]\n  6 -> 10 [size =\"36207616\"]\n  7 [size=\"79247360\", alpha=\"0.11\", expect_size=\"31698944\"] \n  8 [size=\"99417600\", alpha=\"0.13\", expect_size=\"39767040\"] \n  8 -> 12 [size =\"39767040\"]\n  8 -> 13 [size =\"39767040\"]\n  9 [size=\"84352000\", alpha=\"0.01\", expect_size=\"33740800\"] \n  9 -> 11 [size =\"33740800\"]\n  10 [size=\"102924800\", alpha=\"0.05\", expect_size=\"41169920\"] \n  10 -> 11 [size =\"41169920\"]\n  11 [size=\"76810240\", alpha=\"0.05\", expect_size=\"30724096\"] \n  12 [size=\"21429760\", alpha=\"0.13\", expect_size=\"8571904\"] \n  12 -> 14 [size =\"8571904\"]\n  12 -> 15 [size =\"8571904\"]\n  13 [size=\"42037760\", alpha=\"0.20\", expect_size=\"16815104\"] \n  14 [size=\"50859520\", alpha=\"0.17\", expect_size=\"20343808\"] \n  14 -> 16 [size =\"20343808\"]\n  14 -> 17 [size =\"20343808\"]\n  15 [size=\"67619840\", alpha=\"0.01\", expect_size=\"27047936\"] \n  16 [size=\"129431040\", alpha=\"0.08\", expect_size=\"51772416\"] \n  16 -> 18 [size =\"51772416\"]\n  17 [size=\"40345600\", alpha=\"0.16\", expect_size=\"16138240\"] \n  17 -> 18 [size =\"16138240\"]\n  17 -> 19 [size =\"16138240\"]\n  18 [size=\"105359360\", alpha=\"0.16\", expect_size=\"42143744\"] \n  18 -> 21 [size =\"42143744\"]\n  19 [size=\"66718720\", alpha=\"0.17\", expect_size=\"26687488\"] \n  19 -> 20 [size =\"26687488\"]\n  19 -> 22 [size =\"26687488\"]\n  20 [size=\"72005120\", alpha=\"0.14\", expect_size=\"28802048\"] \n  20 -> 23 [size =\"28802048\"]\n  21 [size=\"100270080\", alpha=\"0.15\", expect_size=\"40108032\"] \n  21 -> 24 [size =\"40108032\"]\n  22 [size=\"130140160\", alpha=\"0.18\", expect_size=\"52056064\"] \n  22 -> 24 [size =\"52056064\"]\n  23 [size=\"91276800\", alpha=\"0.01\", expect_size=\"36510720\"] \n  23 -> 25 [size =\"36510720\"]\n  23 -> 26 [size =\"36510720\"]\n  23 -> 27 [size =\"36510720\"]\n  24 [size=\"88990720\", alpha=\"0.00\", expect_size=\"35596288\"] \n  24 -> 25 [size =\"35596288\"]\n  24 -> 26 [size =\"35596288\"]\n  24 -> 27 [size =\"35596288\"]\n  25 [size=\"70336000\", alpha=\"0.17\", expect_size=\"28134400\"] \n  25 -> 29 [size =\"28134400\"]\n  26 [size=\"76234240\", alpha=\"0.07\", expect_size=\"30493696\"] \n  26 -> 28 [size =\"30493696\"]\n  26 -> 29 [size =\"30493696\"]\n  27 [size=\"124643840\", alpha=\"0.08\", expect_size=\"49857536\"] \n  28 [size=\"101967360\", alpha=\"0.04\", expect_size=\"40786944\"] \n  28 -> 30 [size =\"40786944\"]\n  28 -> 31 [size =\"40786944\"]\n  29 [size=\"80102400\", alpha=\"0.11\", expect_size=\"32040960\"] \n  30 [size=\"62858240\", alpha=\"0.15\", expect_size=\"25143296\"] \n  30 -> 32 [size =\"25143296\"]\n  31 [size=\"27614720\", alpha=\"0.08\", expect_size=\"11045888\"] \n  31 -> 33 [size =\"11045888\"]\n  32 [size=\"117798400\", alpha=\"0.04\", expect_size=\"47119360\"] \n  32 -> 34 [size =\"47119360\"]\n  32 -> 36 [size =\"47119360\"]\n  33 [size=\"105945600\", alpha=\"0.04\", expect_size=\"42378240\"] \n  33 -> 35 [size =\"42378240\"]\n  33 -> 36 [size =\"42378240\"]\n  34 [size=\"111418880\", alpha=\"0.10\", expect_size=\"44567552\"] \n  34 -> 38 [size =\"44567552\"]\n  35 [size=\"113704960\", alpha=\"0.06\", expect_size=\"45481984\"] \n  35 -> 37 [size =\"45481984\"]\n  35 -> 38 [size =\"45481984\"]\n  36 [size=\"96673280\", alpha=\"0.01\", expect_size=\"38669312\"] \n  37 [size=\"19773440\", alpha=\"0.02\", expect_size=\"7909376\"] \n  37 -> 40 [size =\"7909376\"]\n  38 [size=\"67110400\", alpha=\"0.17\", expect_size=\"26844160\"] \n  38 -> 39 [size =\"26844160\"]\n  39 [size=\"89067520\", alpha=\"0.02\", expect_size=\"35627008\"] \n  40 [size=\"38927360\", alpha=\"0.17\", expect_size=\"15570944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58770773\", alpha=\"0.06\", expect_size=\"17631232\"] \n  1 -> 28 [size =\"17631232\"]\n  1 -> 30 [size =\"17631232\"]\n  1 -> 33 [size =\"17631232\"]\n  1 -> 35 [size =\"17631232\"]\n  1 -> 36 [size =\"17631232\"]\n  1 -> 38 [size =\"17631232\"]\n  1 -> 39 [size =\"17631232\"]\n  2 [size=\"93682347\", alpha=\"0.05\", expect_size=\"28104704\"] \n  2 -> 25 [size =\"28104704\"]\n  2 -> 26 [size =\"28104704\"]\n  2 -> 28 [size =\"28104704\"]\n  2 -> 32 [size =\"28104704\"]\n  2 -> 33 [size =\"28104704\"]\n  2 -> 37 [size =\"28104704\"]\n  2 -> 38 [size =\"28104704\"]\n  2 -> 39 [size =\"28104704\"]\n  3 [size=\"53220693\", alpha=\"0.18\", expect_size=\"15966208\"] \n  3 -> 27 [size =\"15966208\"]\n  3 -> 28 [size =\"15966208\"]\n  3 -> 30 [size =\"15966208\"]\n  3 -> 33 [size =\"15966208\"]\n  3 -> 33 [size =\"15966208\"]\n  3 -> 36 [size =\"15966208\"]\n  3 -> 37 [size =\"15966208\"]\n  4 [size=\"153361067\", alpha=\"0.15\", expect_size=\"46008320\"] \n  4 -> 25 [size =\"46008320\"]\n  4 -> 28 [size =\"46008320\"]\n  4 -> 29 [size =\"46008320\"]\n  4 -> 37 [size =\"46008320\"]\n  4 -> 39 [size =\"46008320\"]\n  5 [size=\"64747520\", alpha=\"0.13\", expect_size=\"19424256\"] \n  5 -> 28 [size =\"19424256\"]\n  5 -> 29 [size =\"19424256\"]\n  5 -> 29 [size =\"19424256\"]\n  5 -> 30 [size =\"19424256\"]\n  5 -> 33 [size =\"19424256\"]\n  5 -> 35 [size =\"19424256\"]\n  5 -> 37 [size =\"19424256\"]\n  5 -> 38 [size =\"19424256\"]\n  5 -> 39 [size =\"19424256\"]\n  6 [size=\"136209067\", alpha=\"0.17\", expect_size=\"40862720\"] \n  6 -> 27 [size =\"40862720\"]\n  6 -> 30 [size =\"40862720\"]\n  6 -> 33 [size =\"40862720\"]\n  6 -> 35 [size =\"40862720\"]\n  7 [size=\"53442560\", alpha=\"0.02\", expect_size=\"16032768\"] \n  7 -> 29 [size =\"16032768\"]\n  7 -> 30 [size =\"16032768\"]\n  7 -> 31 [size =\"16032768\"]\n  7 -> 33 [size =\"16032768\"]\n  7 -> 39 [size =\"16032768\"]\n  8 [size=\"59658240\", alpha=\"0.11\", expect_size=\"17897472\"] \n  8 -> 26 [size =\"17897472\"]\n  8 -> 29 [size =\"17897472\"]\n  8 -> 33 [size =\"17897472\"]\n  8 -> 35 [size =\"17897472\"]\n  8 -> 38 [size =\"17897472\"]\n  8 -> 39 [size =\"17897472\"]\n  9 [size=\"58682027\", alpha=\"0.07\", expect_size=\"17604608\"] \n  9 -> 30 [size =\"17604608\"]\n  9 -> 31 [size =\"17604608\"]\n  9 -> 38 [size =\"17604608\"]\n  9 -> 39 [size =\"17604608\"]\n  10 [size=\"97679360\", alpha=\"0.09\", expect_size=\"29303808\"] \n  10 -> 25 [size =\"29303808\"]\n  10 -> 26 [size =\"29303808\"]\n  10 -> 29 [size =\"29303808\"]\n  10 -> 30 [size =\"29303808\"]\n  10 -> 33 [size =\"29303808\"]\n  10 -> 37 [size =\"29303808\"]\n  10 -> 38 [size =\"29303808\"]\n  11 [size=\"38266880\", alpha=\"0.06\", expect_size=\"11480064\"] \n  11 -> 25 [size =\"11480064\"]\n  11 -> 26 [size =\"11480064\"]\n  11 -> 30 [size =\"11480064\"]\n  11 -> 31 [size =\"11480064\"]\n  11 -> 37 [size =\"11480064\"]\n  11 -> 38 [size =\"11480064\"]\n  12 [size=\"81715200\", alpha=\"0.17\", expect_size=\"24514560\"] \n  12 -> 25 [size =\"24514560\"]\n  12 -> 27 [size =\"24514560\"]\n  12 -> 29 [size =\"24514560\"]\n  12 -> 30 [size =\"24514560\"]\n  12 -> 37 [size =\"24514560\"]\n  12 -> 38 [size =\"24514560\"]\n  12 -> 39 [size =\"24514560\"]\n  12 -> 40 [size =\"24514560\"]\n  13 [size=\"123480747\", alpha=\"0.03\", expect_size=\"37044224\"] \n  13 -> 25 [size =\"37044224\"]\n  13 -> 30 [size =\"37044224\"]\n  13 -> 35 [size =\"37044224\"]\n  13 -> 37 [size =\"37044224\"]\n  14 [size=\"107226453\", alpha=\"0.07\", expect_size=\"32167936\"] \n  14 -> 25 [size =\"32167936\"]\n  14 -> 28 [size =\"32167936\"]\n  14 -> 30 [size =\"32167936\"]\n  14 -> 33 [size =\"32167936\"]\n  14 -> 39 [size =\"32167936\"]\n  15 [size=\"70683307\", alpha=\"0.09\", expect_size=\"21204992\"] \n  15 -> 25 [size =\"21204992\"]\n  15 -> 29 [size =\"21204992\"]\n  15 -> 34 [size =\"21204992\"]\n  15 -> 35 [size =\"21204992\"]\n  15 -> 36 [size =\"21204992\"]\n  15 -> 37 [size =\"21204992\"]\n  15 -> 39 [size =\"21204992\"]\n  16 [size=\"172912640\", alpha=\"0.07\", expect_size=\"51873792\"] \n  16 -> 25 [size =\"51873792\"]\n  16 -> 28 [size =\"51873792\"]\n  16 -> 29 [size =\"51873792\"]\n  16 -> 30 [size =\"51873792\"]\n  16 -> 31 [size =\"51873792\"]\n  16 -> 35 [size =\"51873792\"]\n  16 -> 37 [size =\"51873792\"]\n  16 -> 39 [size =\"51873792\"]\n  17 [size=\"151558827\", alpha=\"0.18\", expect_size=\"45467648\"] \n  17 -> 26 [size =\"45467648\"]\n  17 -> 28 [size =\"45467648\"]\n  17 -> 30 [size =\"45467648\"]\n  17 -> 30 [size =\"45467648\"]\n  17 -> 35 [size =\"45467648\"]\n  17 -> 37 [size =\"45467648\"]\n  17 -> 38 [size =\"45467648\"]\n  18 [size=\"166130347\", alpha=\"0.14\", expect_size=\"49839104\"] \n  18 -> 25 [size =\"49839104\"]\n  18 -> 28 [size =\"49839104\"]\n  18 -> 29 [size =\"49839104\"]\n  18 -> 35 [size =\"49839104\"]\n  18 -> 37 [size =\"49839104\"]\n  19 [size=\"95122773\", alpha=\"0.10\", expect_size=\"28536832\"] \n  19 -> 28 [size =\"28536832\"]\n  19 -> 29 [size =\"28536832\"]\n  19 -> 30 [size =\"28536832\"]\n  19 -> 32 [size =\"28536832\"]\n  19 -> 37 [size =\"28536832\"]\n  20 [size=\"149517653\", alpha=\"0.19\", expect_size=\"44855296\"] \n  20 -> 28 [size =\"44855296\"]\n  20 -> 29 [size =\"44855296\"]\n  20 -> 37 [size =\"44855296\"]\n  21 [size=\"62808747\", alpha=\"0.14\", expect_size=\"18842624\"] \n  21 -> 28 [size =\"18842624\"]\n  21 -> 29 [size =\"18842624\"]\n  21 -> 37 [size =\"18842624\"]\n  22 [size=\"112353280\", alpha=\"0.18\", expect_size=\"33705984\"] \n  22 -> 25 [size =\"33705984\"]\n  22 -> 28 [size =\"33705984\"]\n  22 -> 29 [size =\"33705984\"]\n  22 -> 35 [size =\"33705984\"]\n  22 -> 37 [size =\"33705984\"]\n  22 -> 38 [size =\"33705984\"]\n  22 -> 39 [size =\"33705984\"]\n  23 [size=\"88712533\", alpha=\"0.07\", expect_size=\"26613760\"] \n  23 -> 28 [size =\"26613760\"]\n  23 -> 29 [size =\"26613760\"]\n  23 -> 29 [size =\"26613760\"]\n  23 -> 30 [size =\"26613760\"]\n  23 -> 33 [size =\"26613760\"]\n  23 -> 35 [size =\"26613760\"]\n  23 -> 37 [size =\"26613760\"]\n  23 -> 39 [size =\"26613760\"]\n  24 [size=\"112008533\", alpha=\"0.13\", expect_size=\"33602560\"] \n  24 -> 27 [size =\"33602560\"]\n  24 -> 28 [size =\"33602560\"]\n  24 -> 29 [size =\"33602560\"]\n  24 -> 30 [size =\"33602560\"]\n  24 -> 33 [size =\"33602560\"]\n  24 -> 35 [size =\"33602560\"]\n  24 -> 39 [size =\"33602560\"]\n  24 -> 39 [size =\"33602560\"]\n  25 [size=\"164307627\", alpha=\"0.05\", expect_size=\"49292288\"] \n  26 [size=\"79042560\", alpha=\"0.12\", expect_size=\"23712768\"] \n  27 [size=\"137499307\", alpha=\"0.04\", expect_size=\"41249792\"] \n  28 [size=\"123979093\", alpha=\"0.01\", expect_size=\"37193728\"] \n  29 [size=\"77277867\", alpha=\"0.04\", expect_size=\"23183360\"] \n  30 [size=\"152606720\", alpha=\"0.16\", expect_size=\"45782016\"] \n  31 [size=\"144281600\", alpha=\"0.11\", expect_size=\"43284480\"] \n  32 [size=\"93600427\", alpha=\"0.15\", expect_size=\"28080128\"] \n  33 [size=\"76776107\", alpha=\"0.12\", expect_size=\"23032832\"] \n  34 [size=\"129546240\", alpha=\"0.00\", expect_size=\"38863872\"] \n  35 [size=\"73233067\", alpha=\"0.15\", expect_size=\"21969920\"] \n  36 [size=\"112387413\", alpha=\"0.10\", expect_size=\"33716224\"] \n  37 [size=\"51172693\", alpha=\"0.02\", expect_size=\"15351808\"] \n  38 [size=\"82845013\", alpha=\"0.13\", expect_size=\"24853504\"] \n  39 [size=\"92296533\", alpha=\"0.13\", expect_size=\"27688960\"] \n  40 [size=\"120736427\", alpha=\"0.11\", expect_size=\"36220928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102652587\", alpha=\"0.20\", expect_size=\"30795776\"] \n  1 -> 2 [size =\"30795776\"]\n  2 [size=\"20893013\", alpha=\"0.05\", expect_size=\"6267904\"] \n  2 -> 3 [size =\"6267904\"]\n  3 [size=\"105321813\", alpha=\"0.01\", expect_size=\"31596544\"] \n  3 -> 4 [size =\"31596544\"]\n  4 [size=\"72478720\", alpha=\"0.18\", expect_size=\"21743616\"] \n  4 -> 5 [size =\"21743616\"]\n  5 [size=\"173206187\", alpha=\"0.08\", expect_size=\"51961856\"] \n  5 -> 6 [size =\"51961856\"]\n  6 [size=\"131710293\", alpha=\"0.11\", expect_size=\"39513088\"] \n  6 -> 7 [size =\"39513088\"]\n  7 [size=\"155743573\", alpha=\"0.14\", expect_size=\"46723072\"] \n  7 -> 8 [size =\"46723072\"]\n  8 [size=\"27357867\", alpha=\"0.15\", expect_size=\"8207360\"] \n  8 -> 9 [size =\"8207360\"]\n  9 [size=\"113657173\", alpha=\"0.09\", expect_size=\"34097152\"] \n  9 -> 10 [size =\"34097152\"]\n  10 [size=\"30494720\", alpha=\"0.00\", expect_size=\"9148416\"] \n  10 -> 11 [size =\"9148416\"]\n  11 [size=\"157143040\", alpha=\"0.19\", expect_size=\"47142912\"] \n  11 -> 12 [size =\"47142912\"]\n  12 [size=\"155207680\", alpha=\"0.06\", expect_size=\"46562304\"] \n  12 -> 13 [size =\"46562304\"]\n  13 [size=\"39615147\", alpha=\"0.02\", expect_size=\"11884544\"] \n  13 -> 14 [size =\"11884544\"]\n  14 [size=\"46008320\", alpha=\"0.12\", expect_size=\"13802496\"] \n  14 -> 15 [size =\"13802496\"]\n  15 [size=\"30979413\", alpha=\"0.12\", expect_size=\"9293824\"] \n  15 -> 16 [size =\"9293824\"]\n  16 [size=\"94375253\", alpha=\"0.12\", expect_size=\"28312576\"] \n  16 -> 17 [size =\"28312576\"]\n  17 [size=\"26750293\", alpha=\"0.11\", expect_size=\"8025088\"] \n  17 -> 18 [size =\"8025088\"]\n  18 [size=\"135249920\", alpha=\"0.18\", expect_size=\"40574976\"] \n  18 -> 19 [size =\"40574976\"]\n  19 [size=\"96546133\", alpha=\"0.10\", expect_size=\"28963840\"] \n  19 -> 20 [size =\"28963840\"]\n  20 [size=\"168482133\", alpha=\"0.05\", expect_size=\"50544640\"] \n  20 -> 21 [size =\"50544640\"]\n  21 [size=\"170117120\", alpha=\"0.10\", expect_size=\"51035136\"] \n  21 -> 22 [size =\"51035136\"]\n  22 [size=\"165669547\", alpha=\"0.16\", expect_size=\"49700864\"] \n  22 -> 23 [size =\"49700864\"]\n  23 [size=\"54865920\", alpha=\"0.12\", expect_size=\"16459776\"] \n  23 -> 24 [size =\"16459776\"]\n  24 [size=\"74062507\", alpha=\"0.16\", expect_size=\"22218752\"] \n  24 -> 25 [size =\"22218752\"]\n  25 [size=\"172212907\", alpha=\"0.20\", expect_size=\"51663872\"] \n  25 -> 26 [size =\"51663872\"]\n  26 [size=\"110783147\", alpha=\"0.18\", expect_size=\"33234944\"] \n  26 -> 27 [size =\"33234944\"]\n  27 [size=\"45424640\", alpha=\"0.14\", expect_size=\"13627392\"] \n  27 -> 28 [size =\"13627392\"]\n  28 [size=\"135007573\", alpha=\"0.11\", expect_size=\"40502272\"] \n  28 -> 29 [size =\"40502272\"]\n  29 [size=\"116234240\", alpha=\"0.20\", expect_size=\"34870272\"] \n  29 -> 30 [size =\"34870272\"]\n  30 [size=\"40693760\", alpha=\"0.11\", expect_size=\"12208128\"] \n  30 -> 31 [size =\"12208128\"]\n  31 [size=\"78213120\", alpha=\"0.19\", expect_size=\"23463936\"] \n  31 -> 32 [size =\"23463936\"]\n  32 [size=\"156675413\", alpha=\"0.05\", expect_size=\"47002624\"] \n  32 -> 33 [size =\"47002624\"]\n  33 [size=\"122217813\", alpha=\"0.14\", expect_size=\"36665344\"] \n  33 -> 34 [size =\"36665344\"]\n  34 [size=\"62689280\", alpha=\"0.07\", expect_size=\"18806784\"] \n  34 -> 35 [size =\"18806784\"]\n  35 [size=\"33088853\", alpha=\"0.01\", expect_size=\"9926656\"] \n  35 -> 36 [size =\"9926656\"]\n  36 [size=\"31863467\", alpha=\"0.05\", expect_size=\"9559040\"] \n  36 -> 37 [size =\"9559040\"]\n  37 [size=\"173250560\", alpha=\"0.11\", expect_size=\"51975168\"] \n  37 -> 38 [size =\"51975168\"]\n  38 [size=\"123661653\", alpha=\"0.11\", expect_size=\"37098496\"] \n  38 -> 39 [size =\"37098496\"]\n  39 [size=\"50261333\", alpha=\"0.01\", expect_size=\"15078400\"] \n  39 -> 40 [size =\"15078400\"]\n  40 [size=\"49237333\", alpha=\"0.11\", expect_size=\"14771200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39895040\", alpha=\"0.17\", expect_size=\"11968512\"] \n  1 -> 16 [size =\"11968512\"]\n  1 -> 21 [size =\"11968512\"]\n  1 -> 23 [size =\"11968512\"]\n  1 -> 27 [size =\"11968512\"]\n  1 -> 29 [size =\"11968512\"]\n  2 [size=\"92009813\", alpha=\"0.09\", expect_size=\"27602944\"] \n  2 -> 16 [size =\"27602944\"]\n  2 -> 17 [size =\"27602944\"]\n  2 -> 28 [size =\"27602944\"]\n  3 [size=\"116787200\", alpha=\"0.10\", expect_size=\"35036160\"] \n  3 -> 16 [size =\"35036160\"]\n  3 -> 22 [size =\"35036160\"]\n  3 -> 24 [size =\"35036160\"]\n  3 -> 25 [size =\"35036160\"]\n  3 -> 29 [size =\"35036160\"]\n  4 [size=\"61982720\", alpha=\"0.15\", expect_size=\"18594816\"] \n  4 -> 20 [size =\"18594816\"]\n  4 -> 22 [size =\"18594816\"]\n  4 -> 25 [size =\"18594816\"]\n  4 -> 26 [size =\"18594816\"]\n  5 [size=\"89231360\", alpha=\"0.06\", expect_size=\"26769408\"] \n  5 -> 20 [size =\"26769408\"]\n  5 -> 22 [size =\"26769408\"]\n  5 -> 23 [size =\"26769408\"]\n  5 -> 24 [size =\"26769408\"]\n  6 [size=\"124081493\", alpha=\"0.00\", expect_size=\"37224448\"] \n  6 -> 15 [size =\"37224448\"]\n  6 -> 16 [size =\"37224448\"]\n  6 -> 17 [size =\"37224448\"]\n  6 -> 20 [size =\"37224448\"]\n  6 -> 21 [size =\"37224448\"]\n  6 -> 24 [size =\"37224448\"]\n  6 -> 25 [size =\"37224448\"]\n  7 [size=\"56640853\", alpha=\"0.05\", expect_size=\"16992256\"] \n  7 -> 14 [size =\"16992256\"]\n  7 -> 15 [size =\"16992256\"]\n  7 -> 16 [size =\"16992256\"]\n  7 -> 17 [size =\"16992256\"]\n  7 -> 20 [size =\"16992256\"]\n  7 -> 21 [size =\"16992256\"]\n  7 -> 22 [size =\"16992256\"]\n  8 [size=\"48220160\", alpha=\"0.02\", expect_size=\"14466048\"] \n  8 -> 14 [size =\"14466048\"]\n  8 -> 15 [size =\"14466048\"]\n  8 -> 18 [size =\"14466048\"]\n  8 -> 19 [size =\"14466048\"]\n  8 -> 20 [size =\"14466048\"]\n  8 -> 21 [size =\"14466048\"]\n  8 -> 22 [size =\"14466048\"]\n  8 -> 24 [size =\"14466048\"]\n  9 [size=\"103004160\", alpha=\"0.15\", expect_size=\"30901248\"] \n  9 -> 14 [size =\"30901248\"]\n  9 -> 17 [size =\"30901248\"]\n  9 -> 21 [size =\"30901248\"]\n  9 -> 29 [size =\"30901248\"]\n  10 [size=\"161491627\", alpha=\"0.10\", expect_size=\"48447488\"] \n  10 -> 14 [size =\"48447488\"]\n  10 -> 15 [size =\"48447488\"]\n  10 -> 21 [size =\"48447488\"]\n  10 -> 27 [size =\"48447488\"]\n  10 -> 29 [size =\"48447488\"]\n  11 [size=\"78117547\", alpha=\"0.11\", expect_size=\"23435264\"] \n  11 -> 17 [size =\"23435264\"]\n  11 -> 20 [size =\"23435264\"]\n  11 -> 22 [size =\"23435264\"]\n  11 -> 24 [size =\"23435264\"]\n  11 -> 29 [size =\"23435264\"]\n  12 [size=\"56719360\", alpha=\"0.19\", expect_size=\"17015808\"] \n  12 -> 19 [size =\"17015808\"]\n  12 -> 21 [size =\"17015808\"]\n  12 -> 29 [size =\"17015808\"]\n  13 [size=\"126638080\", alpha=\"0.18\", expect_size=\"37991424\"] \n  13 -> 15 [size =\"37991424\"]\n  13 -> 16 [size =\"37991424\"]\n  13 -> 19 [size =\"37991424\"]\n  13 -> 20 [size =\"37991424\"]\n  13 -> 29 [size =\"37991424\"]\n  14 [size=\"48919893\", alpha=\"0.07\", expect_size=\"14675968\"] \n  14 -> 31 [size =\"14675968\"]\n  14 -> 32 [size =\"14675968\"]\n  14 -> 35 [size =\"14675968\"]\n  14 -> 37 [size =\"14675968\"]\n  14 -> 38 [size =\"14675968\"]\n  14 -> 39 [size =\"14675968\"]\n  15 [size=\"168475307\", alpha=\"0.05\", expect_size=\"50542592\"] \n  15 -> 31 [size =\"50542592\"]\n  15 -> 35 [size =\"50542592\"]\n  15 -> 36 [size =\"50542592\"]\n  16 [size=\"58951680\", alpha=\"0.15\", expect_size=\"17685504\"] \n  16 -> 30 [size =\"17685504\"]\n  16 -> 37 [size =\"17685504\"]\n  17 [size=\"60211200\", alpha=\"0.02\", expect_size=\"18063360\"] \n  17 -> 31 [size =\"18063360\"]\n  17 -> 36 [size =\"18063360\"]\n  17 -> 40 [size =\"18063360\"]\n  18 [size=\"98020693\", alpha=\"0.01\", expect_size=\"29406208\"] \n  18 -> 31 [size =\"29406208\"]\n  18 -> 32 [size =\"29406208\"]\n  18 -> 40 [size =\"29406208\"]\n  19 [size=\"111564800\", alpha=\"0.15\", expect_size=\"33469440\"] \n  19 -> 35 [size =\"33469440\"]\n  19 -> 36 [size =\"33469440\"]\n  20 [size=\"71782400\", alpha=\"0.20\", expect_size=\"21534720\"] \n  20 -> 34 [size =\"21534720\"]\n  20 -> 35 [size =\"21534720\"]\n  20 -> 36 [size =\"21534720\"]\n  20 -> 40 [size =\"21534720\"]\n  21 [size=\"153210880\", alpha=\"0.07\", expect_size=\"45963264\"] \n  21 -> 33 [size =\"45963264\"]\n  21 -> 34 [size =\"45963264\"]\n  21 -> 37 [size =\"45963264\"]\n  22 [size=\"78551040\", alpha=\"0.04\", expect_size=\"23565312\"] \n  22 -> 31 [size =\"23565312\"]\n  22 -> 34 [size =\"23565312\"]\n  22 -> 35 [size =\"23565312\"]\n  23 [size=\"73076053\", alpha=\"0.14\", expect_size=\"21922816\"] \n  23 -> 34 [size =\"21922816\"]\n  23 -> 34 [size =\"21922816\"]\n  23 -> 38 [size =\"21922816\"]\n  24 [size=\"56224427\", alpha=\"0.09\", expect_size=\"16867328\"] \n  24 -> 30 [size =\"16867328\"]\n  24 -> 36 [size =\"16867328\"]\n  24 -> 37 [size =\"16867328\"]\n  24 -> 38 [size =\"16867328\"]\n  24 -> 39 [size =\"16867328\"]\n  25 [size=\"112752640\", alpha=\"0.13\", expect_size=\"33825792\"] \n  25 -> 31 [size =\"33825792\"]\n  25 -> 34 [size =\"33825792\"]\n  25 -> 36 [size =\"33825792\"]\n  25 -> 37 [size =\"33825792\"]\n  25 -> 39 [size =\"33825792\"]\n  26 [size=\"148302507\", alpha=\"0.11\", expect_size=\"44490752\"] \n  26 -> 38 [size =\"44490752\"]\n  27 [size=\"105209173\", alpha=\"0.14\", expect_size=\"31562752\"] \n  27 -> 33 [size =\"31562752\"]\n  28 [size=\"123490987\", alpha=\"0.01\", expect_size=\"37047296\"] \n  29 [size=\"133843627\", alpha=\"0.18\", expect_size=\"40153088\"] \n  29 -> 31 [size =\"40153088\"]\n  29 -> 32 [size =\"40153088\"]\n  29 -> 36 [size =\"40153088\"]\n  30 [size=\"96505173\", alpha=\"0.14\", expect_size=\"28951552\"] \n  31 [size=\"95283200\", alpha=\"0.18\", expect_size=\"28584960\"] \n  32 [size=\"152593067\", alpha=\"0.07\", expect_size=\"45777920\"] \n  33 [size=\"28402347\", alpha=\"0.09\", expect_size=\"8520704\"] \n  34 [size=\"136598187\", alpha=\"0.16\", expect_size=\"40979456\"] \n  35 [size=\"49827840\", alpha=\"0.02\", expect_size=\"14948352\"] \n  36 [size=\"154419200\", alpha=\"0.13\", expect_size=\"46325760\"] \n  37 [size=\"85121707\", alpha=\"0.09\", expect_size=\"25536512\"] \n  38 [size=\"38386347\", alpha=\"0.16\", expect_size=\"11515904\"] \n  39 [size=\"44963840\", alpha=\"0.14\", expect_size=\"13489152\"] \n  40 [size=\"33095680\", alpha=\"0.00\", expect_size=\"9928704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154241707\", alpha=\"0.04\", expect_size=\"46272512\"] \n  1 -> 18 [size =\"46272512\"]\n  1 -> 20 [size =\"46272512\"]\n  1 -> 20 [size =\"46272512\"]\n  1 -> 21 [size =\"46272512\"]\n  1 -> 22 [size =\"46272512\"]\n  1 -> 26 [size =\"46272512\"]\n  2 [size=\"21053440\", alpha=\"0.16\", expect_size=\"6316032\"] \n  2 -> 16 [size =\"6316032\"]\n  2 -> 18 [size =\"6316032\"]\n  2 -> 19 [size =\"6316032\"]\n  2 -> 21 [size =\"6316032\"]\n  2 -> 22 [size =\"6316032\"]\n  2 -> 23 [size =\"6316032\"]\n  3 [size=\"86388053\", alpha=\"0.02\", expect_size=\"25916416\"] \n  3 -> 17 [size =\"25916416\"]\n  3 -> 19 [size =\"25916416\"]\n  3 -> 19 [size =\"25916416\"]\n  3 -> 20 [size =\"25916416\"]\n  3 -> 22 [size =\"25916416\"]\n  4 [size=\"105581227\", alpha=\"0.17\", expect_size=\"31674368\"] \n  4 -> 14 [size =\"31674368\"]\n  4 -> 19 [size =\"31674368\"]\n  4 -> 21 [size =\"31674368\"]\n  4 -> 25 [size =\"31674368\"]\n  5 [size=\"51800747\", alpha=\"0.01\", expect_size=\"15540224\"] \n  5 -> 14 [size =\"15540224\"]\n  5 -> 15 [size =\"15540224\"]\n  5 -> 18 [size =\"15540224\"]\n  5 -> 19 [size =\"15540224\"]\n  5 -> 22 [size =\"15540224\"]\n  5 -> 23 [size =\"15540224\"]\n  6 [size=\"144892587\", alpha=\"0.07\", expect_size=\"43467776\"] \n  6 -> 15 [size =\"43467776\"]\n  6 -> 18 [size =\"43467776\"]\n  6 -> 21 [size =\"43467776\"]\n  6 -> 24 [size =\"43467776\"]\n  7 [size=\"140144640\", alpha=\"0.03\", expect_size=\"42043392\"] \n  7 -> 16 [size =\"42043392\"]\n  7 -> 26 [size =\"42043392\"]\n  8 [size=\"78738773\", alpha=\"0.18\", expect_size=\"23621632\"] \n  8 -> 21 [size =\"23621632\"]\n  8 -> 26 [size =\"23621632\"]\n  9 [size=\"152715947\", alpha=\"0.02\", expect_size=\"45814784\"] \n  9 -> 14 [size =\"45814784\"]\n  9 -> 15 [size =\"45814784\"]\n  9 -> 16 [size =\"45814784\"]\n  9 -> 20 [size =\"45814784\"]\n  9 -> 21 [size =\"45814784\"]\n  9 -> 26 [size =\"45814784\"]\n  10 [size=\"112701440\", alpha=\"0.14\", expect_size=\"33810432\"] \n  10 -> 15 [size =\"33810432\"]\n  10 -> 16 [size =\"33810432\"]\n  10 -> 18 [size =\"33810432\"]\n  10 -> 19 [size =\"33810432\"]\n  10 -> 20 [size =\"33810432\"]\n  10 -> 24 [size =\"33810432\"]\n  10 -> 26 [size =\"33810432\"]\n  11 [size=\"77783040\", alpha=\"0.20\", expect_size=\"23334912\"] \n  11 -> 14 [size =\"23334912\"]\n  11 -> 20 [size =\"23334912\"]\n  11 -> 21 [size =\"23334912\"]\n  11 -> 22 [size =\"23334912\"]\n  11 -> 24 [size =\"23334912\"]\n  11 -> 26 [size =\"23334912\"]\n  11 -> 26 [size =\"23334912\"]\n  12 [size=\"107704320\", alpha=\"0.01\", expect_size=\"32311296\"] \n  12 -> 16 [size =\"32311296\"]\n  12 -> 18 [size =\"32311296\"]\n  12 -> 20 [size =\"32311296\"]\n  12 -> 21 [size =\"32311296\"]\n  12 -> 23 [size =\"32311296\"]\n  13 [size=\"75291307\", alpha=\"0.07\", expect_size=\"22587392\"] \n  13 -> 15 [size =\"22587392\"]\n  13 -> 19 [size =\"22587392\"]\n  13 -> 20 [size =\"22587392\"]\n  13 -> 23 [size =\"22587392\"]\n  14 [size=\"87463253\", alpha=\"0.12\", expect_size=\"26238976\"] \n  14 -> 28 [size =\"26238976\"]\n  14 -> 34 [size =\"26238976\"]\n  15 [size=\"66324480\", alpha=\"0.18\", expect_size=\"19897344\"] \n  15 -> 33 [size =\"19897344\"]\n  15 -> 37 [size =\"19897344\"]\n  15 -> 39 [size =\"19897344\"]\n  16 [size=\"74564267\", alpha=\"0.01\", expect_size=\"22369280\"] \n  16 -> 27 [size =\"22369280\"]\n  16 -> 39 [size =\"22369280\"]\n  17 [size=\"128552960\", alpha=\"0.10\", expect_size=\"38565888\"] \n  17 -> 28 [size =\"38565888\"]\n  17 -> 29 [size =\"38565888\"]\n  17 -> 36 [size =\"38565888\"]\n  17 -> 37 [size =\"38565888\"]\n  17 -> 39 [size =\"38565888\"]\n  18 [size=\"150179840\", alpha=\"0.10\", expect_size=\"45053952\"] \n  18 -> 28 [size =\"45053952\"]\n  18 -> 29 [size =\"45053952\"]\n  18 -> 35 [size =\"45053952\"]\n  18 -> 36 [size =\"45053952\"]\n  18 -> 37 [size =\"45053952\"]\n  18 -> 39 [size =\"45053952\"]\n  19 [size=\"136656213\", alpha=\"0.17\", expect_size=\"40996864\"] \n  19 -> 27 [size =\"40996864\"]\n  19 -> 28 [size =\"40996864\"]\n  19 -> 29 [size =\"40996864\"]\n  19 -> 33 [size =\"40996864\"]\n  19 -> 34 [size =\"40996864\"]\n  19 -> 39 [size =\"40996864\"]\n  20 [size=\"155927893\", alpha=\"0.16\", expect_size=\"46778368\"] \n  20 -> 28 [size =\"46778368\"]\n  20 -> 29 [size =\"46778368\"]\n  20 -> 29 [size =\"46778368\"]\n  20 -> 30 [size =\"46778368\"]\n  20 -> 32 [size =\"46778368\"]\n  20 -> 34 [size =\"46778368\"]\n  20 -> 37 [size =\"46778368\"]\n  20 -> 39 [size =\"46778368\"]\n  21 [size=\"107547307\", alpha=\"0.12\", expect_size=\"32264192\"] \n  21 -> 27 [size =\"32264192\"]\n  21 -> 29 [size =\"32264192\"]\n  21 -> 30 [size =\"32264192\"]\n  21 -> 30 [size =\"32264192\"]\n  21 -> 35 [size =\"32264192\"]\n  21 -> 36 [size =\"32264192\"]\n  21 -> 37 [size =\"32264192\"]\n  21 -> 39 [size =\"32264192\"]\n  22 [size=\"106205867\", alpha=\"0.08\", expect_size=\"31861760\"] \n  22 -> 30 [size =\"31861760\"]\n  22 -> 37 [size =\"31861760\"]\n  22 -> 39 [size =\"31861760\"]\n  23 [size=\"112370347\", alpha=\"0.14\", expect_size=\"33711104\"] \n  23 -> 28 [size =\"33711104\"]\n  23 -> 29 [size =\"33711104\"]\n  23 -> 37 [size =\"33711104\"]\n  23 -> 39 [size =\"33711104\"]\n  24 [size=\"168908800\", alpha=\"0.10\", expect_size=\"50672640\"] \n  24 -> 27 [size =\"50672640\"]\n  24 -> 28 [size =\"50672640\"]\n  24 -> 31 [size =\"50672640\"]\n  24 -> 34 [size =\"50672640\"]\n  25 [size=\"104659627\", alpha=\"0.11\", expect_size=\"31397888\"] \n  25 -> 28 [size =\"31397888\"]\n  25 -> 38 [size =\"31397888\"]\n  26 [size=\"90531840\", alpha=\"0.08\", expect_size=\"27159552\"] \n  26 -> 27 [size =\"27159552\"]\n  26 -> 28 [size =\"27159552\"]\n  26 -> 29 [size =\"27159552\"]\n  26 -> 34 [size =\"27159552\"]\n  27 [size=\"97880747\", alpha=\"0.01\", expect_size=\"29364224\"] \n  28 [size=\"20814507\", alpha=\"0.02\", expect_size=\"6244352\"] \n  29 [size=\"98290347\", alpha=\"0.19\", expect_size=\"29487104\"] \n  29 -> 40 [size =\"29487104\"]\n  30 [size=\"73099947\", alpha=\"0.09\", expect_size=\"21929984\"] \n  31 [size=\"38287360\", alpha=\"0.07\", expect_size=\"11486208\"] \n  32 [size=\"130621440\", alpha=\"0.16\", expect_size=\"39186432\"] \n  33 [size=\"39106560\", alpha=\"0.12\", expect_size=\"11731968\"] \n  34 [size=\"147227307\", alpha=\"0.17\", expect_size=\"44168192\"] \n  35 [size=\"71232853\", alpha=\"0.09\", expect_size=\"21369856\"] \n  36 [size=\"160023893\", alpha=\"0.08\", expect_size=\"48007168\"] \n  37 [size=\"69157547\", alpha=\"0.00\", expect_size=\"20747264\"] \n  38 [size=\"78588587\", alpha=\"0.10\", expect_size=\"23576576\"] \n  39 [size=\"92296533\", alpha=\"0.15\", expect_size=\"27688960\"] \n  40 [size=\"88234667\", alpha=\"0.17\", expect_size=\"26470400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98560000\", alpha=\"0.03\", expect_size=\"49280000\"] \n  1 -> 24 [size =\"49280000\"]\n  1 -> 25 [size =\"49280000\"]\n  1 -> 30 [size =\"49280000\"]\n  1 -> 31 [size =\"49280000\"]\n  1 -> 37 [size =\"49280000\"]\n  1 -> 38 [size =\"49280000\"]\n  2 [size=\"88524800\", alpha=\"0.12\", expect_size=\"44262400\"] \n  2 -> 25 [size =\"44262400\"]\n  2 -> 30 [size =\"44262400\"]\n  2 -> 31 [size =\"44262400\"]\n  2 -> 33 [size =\"44262400\"]\n  2 -> 34 [size =\"44262400\"]\n  2 -> 35 [size =\"44262400\"]\n  2 -> 36 [size =\"44262400\"]\n  2 -> 37 [size =\"44262400\"]\n  2 -> 39 [size =\"44262400\"]\n  2 -> 40 [size =\"44262400\"]\n  3 [size=\"43411456\", alpha=\"0.15\", expect_size=\"21705728\"] \n  3 -> 26 [size =\"21705728\"]\n  3 -> 27 [size =\"21705728\"]\n  3 -> 28 [size =\"21705728\"]\n  3 -> 30 [size =\"21705728\"]\n  3 -> 31 [size =\"21705728\"]\n  3 -> 35 [size =\"21705728\"]\n  3 -> 36 [size =\"21705728\"]\n  3 -> 37 [size =\"21705728\"]\n  3 -> 39 [size =\"21705728\"]\n  4 [size=\"38354944\", alpha=\"0.11\", expect_size=\"19177472\"] \n  4 -> 24 [size =\"19177472\"]\n  4 -> 26 [size =\"19177472\"]\n  4 -> 28 [size =\"19177472\"]\n  4 -> 30 [size =\"19177472\"]\n  4 -> 31 [size =\"19177472\"]\n  4 -> 32 [size =\"19177472\"]\n  4 -> 33 [size =\"19177472\"]\n  4 -> 36 [size =\"19177472\"]\n  4 -> 37 [size =\"19177472\"]\n  4 -> 39 [size =\"19177472\"]\n  5 [size=\"74397696\", alpha=\"0.02\", expect_size=\"37198848\"] \n  5 -> 27 [size =\"37198848\"]\n  5 -> 28 [size =\"37198848\"]\n  5 -> 30 [size =\"37198848\"]\n  5 -> 30 [size =\"37198848\"]\n  5 -> 31 [size =\"37198848\"]\n  5 -> 34 [size =\"37198848\"]\n  5 -> 37 [size =\"37198848\"]\n  5 -> 38 [size =\"37198848\"]\n  5 -> 39 [size =\"37198848\"]\n  6 [size=\"74371072\", alpha=\"0.07\", expect_size=\"37185536\"] \n  6 -> 25 [size =\"37185536\"]\n  6 -> 27 [size =\"37185536\"]\n  6 -> 28 [size =\"37185536\"]\n  6 -> 30 [size =\"37185536\"]\n  6 -> 33 [size =\"37185536\"]\n  6 -> 34 [size =\"37185536\"]\n  6 -> 37 [size =\"37185536\"]\n  6 -> 39 [size =\"37185536\"]\n  7 [size=\"68227072\", alpha=\"0.12\", expect_size=\"34113536\"] \n  7 -> 24 [size =\"34113536\"]\n  7 -> 27 [size =\"34113536\"]\n  7 -> 30 [size =\"34113536\"]\n  7 -> 33 [size =\"34113536\"]\n  7 -> 34 [size =\"34113536\"]\n  7 -> 37 [size =\"34113536\"]\n  7 -> 38 [size =\"34113536\"]\n  7 -> 39 [size =\"34113536\"]\n  8 [size=\"59629568\", alpha=\"0.19\", expect_size=\"29814784\"] \n  8 -> 24 [size =\"29814784\"]\n  8 -> 28 [size =\"29814784\"]\n  8 -> 31 [size =\"29814784\"]\n  8 -> 32 [size =\"29814784\"]\n  8 -> 36 [size =\"29814784\"]\n  8 -> 37 [size =\"29814784\"]\n  8 -> 38 [size =\"29814784\"]\n  9 [size=\"75304960\", alpha=\"0.08\", expect_size=\"37652480\"] \n  9 -> 24 [size =\"37652480\"]\n  9 -> 26 [size =\"37652480\"]\n  9 -> 29 [size =\"37652480\"]\n  9 -> 35 [size =\"37652480\"]\n  9 -> 36 [size =\"37652480\"]\n  9 -> 37 [size =\"37652480\"]\n  9 -> 38 [size =\"37652480\"]\n  10 [size=\"31401984\", alpha=\"0.13\", expect_size=\"15700992\"] \n  10 -> 25 [size =\"15700992\"]\n  10 -> 26 [size =\"15700992\"]\n  10 -> 28 [size =\"15700992\"]\n  10 -> 33 [size =\"15700992\"]\n  10 -> 39 [size =\"15700992\"]\n  11 [size=\"25647104\", alpha=\"0.16\", expect_size=\"12823552\"] \n  11 -> 24 [size =\"12823552\"]\n  11 -> 26 [size =\"12823552\"]\n  11 -> 27 [size =\"12823552\"]\n  11 -> 28 [size =\"12823552\"]\n  11 -> 31 [size =\"12823552\"]\n  11 -> 32 [size =\"12823552\"]\n  11 -> 33 [size =\"12823552\"]\n  11 -> 38 [size =\"12823552\"]\n  11 -> 39 [size =\"12823552\"]\n  12 [size=\"37965824\", alpha=\"0.06\", expect_size=\"18982912\"] \n  12 -> 24 [size =\"18982912\"]\n  12 -> 26 [size =\"18982912\"]\n  12 -> 28 [size =\"18982912\"]\n  12 -> 33 [size =\"18982912\"]\n  12 -> 35 [size =\"18982912\"]\n  12 -> 36 [size =\"18982912\"]\n  12 -> 37 [size =\"18982912\"]\n  12 -> 38 [size =\"18982912\"]\n  12 -> 39 [size =\"18982912\"]\n  13 [size=\"95471616\", alpha=\"0.17\", expect_size=\"47735808\"] \n  13 -> 27 [size =\"47735808\"]\n  13 -> 28 [size =\"47735808\"]\n  13 -> 33 [size =\"47735808\"]\n  13 -> 33 [size =\"47735808\"]\n  13 -> 36 [size =\"47735808\"]\n  13 -> 36 [size =\"47735808\"]\n  13 -> 37 [size =\"47735808\"]\n  13 -> 40 [size =\"47735808\"]\n  14 [size=\"73861120\", alpha=\"0.03\", expect_size=\"36930560\"] \n  14 -> 27 [size =\"36930560\"]\n  14 -> 28 [size =\"36930560\"]\n  14 -> 31 [size =\"36930560\"]\n  14 -> 34 [size =\"36930560\"]\n  14 -> 38 [size =\"36930560\"]\n  14 -> 39 [size =\"36930560\"]\n  15 [size=\"33200128\", alpha=\"0.04\", expect_size=\"16600064\"] \n  15 -> 24 [size =\"16600064\"]\n  15 -> 26 [size =\"16600064\"]\n  15 -> 27 [size =\"16600064\"]\n  15 -> 31 [size =\"16600064\"]\n  15 -> 33 [size =\"16600064\"]\n  15 -> 36 [size =\"16600064\"]\n  15 -> 38 [size =\"16600064\"]\n  15 -> 39 [size =\"16600064\"]\n  16 [size=\"41308160\", alpha=\"0.08\", expect_size=\"20654080\"] \n  16 -> 24 [size =\"20654080\"]\n  16 -> 27 [size =\"20654080\"]\n  16 -> 27 [size =\"20654080\"]\n  16 -> 28 [size =\"20654080\"]\n  16 -> 30 [size =\"20654080\"]\n  16 -> 38 [size =\"20654080\"]\n  16 -> 38 [size =\"20654080\"]\n  16 -> 39 [size =\"20654080\"]\n  17 [size=\"72724480\", alpha=\"0.19\", expect_size=\"36362240\"] \n  17 -> 25 [size =\"36362240\"]\n  17 -> 27 [size =\"36362240\"]\n  17 -> 30 [size =\"36362240\"]\n  17 -> 33 [size =\"36362240\"]\n  17 -> 36 [size =\"36362240\"]\n  17 -> 39 [size =\"36362240\"]\n  18 [size=\"33460224\", alpha=\"0.06\", expect_size=\"16730112\"] \n  18 -> 28 [size =\"16730112\"]\n  18 -> 30 [size =\"16730112\"]\n  18 -> 31 [size =\"16730112\"]\n  18 -> 33 [size =\"16730112\"]\n  18 -> 36 [size =\"16730112\"]\n  18 -> 37 [size =\"16730112\"]\n  19 [size=\"27574272\", alpha=\"0.11\", expect_size=\"13787136\"] \n  19 -> 25 [size =\"13787136\"]\n  19 -> 28 [size =\"13787136\"]\n  19 -> 33 [size =\"13787136\"]\n  20 [size=\"63223808\", alpha=\"0.17\", expect_size=\"31611904\"] \n  20 -> 26 [size =\"31611904\"]\n  20 -> 27 [size =\"31611904\"]\n  20 -> 34 [size =\"31611904\"]\n  20 -> 35 [size =\"31611904\"]\n  20 -> 36 [size =\"31611904\"]\n  20 -> 37 [size =\"31611904\"]\n  21 [size=\"29843456\", alpha=\"0.03\", expect_size=\"14921728\"] \n  21 -> 24 [size =\"14921728\"]\n  21 -> 28 [size =\"14921728\"]\n  21 -> 34 [size =\"14921728\"]\n  21 -> 36 [size =\"14921728\"]\n  21 -> 37 [size =\"14921728\"]\n  21 -> 38 [size =\"14921728\"]\n  21 -> 39 [size =\"14921728\"]\n  22 [size=\"10745856\", alpha=\"0.04\", expect_size=\"5372928\"] \n  22 -> 24 [size =\"5372928\"]\n  22 -> 28 [size =\"5372928\"]\n  22 -> 33 [size =\"5372928\"]\n  22 -> 34 [size =\"5372928\"]\n  22 -> 37 [size =\"5372928\"]\n  22 -> 39 [size =\"5372928\"]\n  22 -> 40 [size =\"5372928\"]\n  23 [size=\"37115904\", alpha=\"0.13\", expect_size=\"18557952\"] \n  23 -> 25 [size =\"18557952\"]\n  23 -> 31 [size =\"18557952\"]\n  23 -> 33 [size =\"18557952\"]\n  23 -> 35 [size =\"18557952\"]\n  23 -> 36 [size =\"18557952\"]\n  23 -> 39 [size =\"18557952\"]\n  24 [size=\"22956032\", alpha=\"0.07\", expect_size=\"11478016\"] \n  25 [size=\"35018752\", alpha=\"0.15\", expect_size=\"17509376\"] \n  26 [size=\"52672512\", alpha=\"0.17\", expect_size=\"26336256\"] \n  27 [size=\"92594176\", alpha=\"0.11\", expect_size=\"46297088\"] \n  28 [size=\"85776384\", alpha=\"0.15\", expect_size=\"42888192\"] \n  29 [size=\"19781632\", alpha=\"0.13\", expect_size=\"9890816\"] \n  30 [size=\"71819264\", alpha=\"0.16\", expect_size=\"35909632\"] \n  31 [size=\"59828224\", alpha=\"0.01\", expect_size=\"29914112\"] \n  32 [size=\"71882752\", alpha=\"0.13\", expect_size=\"35941376\"] \n  33 [size=\"91652096\", alpha=\"0.02\", expect_size=\"45826048\"] \n  34 [size=\"57692160\", alpha=\"0.05\", expect_size=\"28846080\"] \n  35 [size=\"92241920\", alpha=\"0.13\", expect_size=\"46120960\"] \n  36 [size=\"70473728\", alpha=\"0.07\", expect_size=\"35236864\"] \n  37 [size=\"56270848\", alpha=\"0.14\", expect_size=\"28135424\"] \n  38 [size=\"13004800\", alpha=\"0.07\", expect_size=\"6502400\"] \n  39 [size=\"84191232\", alpha=\"0.03\", expect_size=\"42095616\"] \n  40 [size=\"51533824\", alpha=\"0.10\", expect_size=\"25766912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83793920\", alpha=\"0.15\", expect_size=\"25138176\"] \n  1 -> 15 [size =\"25138176\"]\n  1 -> 17 [size =\"25138176\"]\n  1 -> 18 [size =\"25138176\"]\n  1 -> 21 [size =\"25138176\"]\n  1 -> 23 [size =\"25138176\"]\n  2 [size=\"161621333\", alpha=\"0.13\", expect_size=\"48486400\"] \n  2 -> 17 [size =\"48486400\"]\n  2 -> 18 [size =\"48486400\"]\n  2 -> 20 [size =\"48486400\"]\n  2 -> 23 [size =\"48486400\"]\n  2 -> 27 [size =\"48486400\"]\n  3 [size=\"169789440\", alpha=\"0.13\", expect_size=\"50936832\"] \n  3 -> 15 [size =\"50936832\"]\n  3 -> 17 [size =\"50936832\"]\n  3 -> 21 [size =\"50936832\"]\n  3 -> 22 [size =\"50936832\"]\n  3 -> 28 [size =\"50936832\"]\n  4 [size=\"156880213\", alpha=\"0.05\", expect_size=\"47064064\"] \n  4 -> 15 [size =\"47064064\"]\n  4 -> 17 [size =\"47064064\"]\n  4 -> 19 [size =\"47064064\"]\n  4 -> 20 [size =\"47064064\"]\n  4 -> 21 [size =\"47064064\"]\n  4 -> 22 [size =\"47064064\"]\n  4 -> 23 [size =\"47064064\"]\n  4 -> 27 [size =\"47064064\"]\n  4 -> 28 [size =\"47064064\"]\n  5 [size=\"63505067\", alpha=\"0.07\", expect_size=\"19051520\"] \n  5 -> 20 [size =\"19051520\"]\n  5 -> 21 [size =\"19051520\"]\n  5 -> 27 [size =\"19051520\"]\n  5 -> 28 [size =\"19051520\"]\n  6 [size=\"88019627\", alpha=\"0.16\", expect_size=\"26405888\"] \n  6 -> 19 [size =\"26405888\"]\n  6 -> 20 [size =\"26405888\"]\n  6 -> 24 [size =\"26405888\"]\n  6 -> 27 [size =\"26405888\"]\n  6 -> 28 [size =\"26405888\"]\n  7 [size=\"169055573\", alpha=\"0.14\", expect_size=\"50716672\"] \n  7 -> 22 [size =\"50716672\"]\n  7 -> 23 [size =\"50716672\"]\n  7 -> 27 [size =\"50716672\"]\n  7 -> 27 [size =\"50716672\"]\n  7 -> 28 [size =\"50716672\"]\n  8 [size=\"35020800\", alpha=\"0.18\", expect_size=\"10506240\"] \n  8 -> 15 [size =\"10506240\"]\n  8 -> 16 [size =\"10506240\"]\n  8 -> 17 [size =\"10506240\"]\n  8 -> 20 [size =\"10506240\"]\n  8 -> 21 [size =\"10506240\"]\n  8 -> 23 [size =\"10506240\"]\n  8 -> 28 [size =\"10506240\"]\n  9 [size=\"68331520\", alpha=\"0.20\", expect_size=\"20499456\"] \n  9 -> 15 [size =\"20499456\"]\n  9 -> 19 [size =\"20499456\"]\n  9 -> 20 [size =\"20499456\"]\n  9 -> 23 [size =\"20499456\"]\n  9 -> 24 [size =\"20499456\"]\n  9 -> 28 [size =\"20499456\"]\n  10 [size=\"76782933\", alpha=\"0.18\", expect_size=\"23034880\"] \n  10 -> 15 [size =\"23034880\"]\n  10 -> 17 [size =\"23034880\"]\n  10 -> 22 [size =\"23034880\"]\n  10 -> 23 [size =\"23034880\"]\n  10 -> 26 [size =\"23034880\"]\n  10 -> 27 [size =\"23034880\"]\n  10 -> 28 [size =\"23034880\"]\n  11 [size=\"105120427\", alpha=\"0.13\", expect_size=\"31536128\"] \n  11 -> 15 [size =\"31536128\"]\n  11 -> 17 [size =\"31536128\"]\n  11 -> 19 [size =\"31536128\"]\n  11 -> 22 [size =\"31536128\"]\n  11 -> 26 [size =\"31536128\"]\n  12 [size=\"65297067\", alpha=\"0.06\", expect_size=\"19589120\"] \n  12 -> 15 [size =\"19589120\"]\n  12 -> 17 [size =\"19589120\"]\n  12 -> 19 [size =\"19589120\"]\n  12 -> 21 [size =\"19589120\"]\n  12 -> 22 [size =\"19589120\"]\n  12 -> 24 [size =\"19589120\"]\n  12 -> 25 [size =\"19589120\"]\n  12 -> 27 [size =\"19589120\"]\n  13 [size=\"170059093\", alpha=\"0.15\", expect_size=\"51017728\"] \n  13 -> 15 [size =\"51017728\"]\n  13 -> 17 [size =\"51017728\"]\n  13 -> 18 [size =\"51017728\"]\n  13 -> 21 [size =\"51017728\"]\n  13 -> 23 [size =\"51017728\"]\n  13 -> 27 [size =\"51017728\"]\n  13 -> 28 [size =\"51017728\"]\n  14 [size=\"115466240\", alpha=\"0.08\", expect_size=\"34639872\"] \n  14 -> 17 [size =\"34639872\"]\n  14 -> 19 [size =\"34639872\"]\n  14 -> 20 [size =\"34639872\"]\n  14 -> 23 [size =\"34639872\"]\n  14 -> 23 [size =\"34639872\"]\n  14 -> 24 [size =\"34639872\"]\n  15 [size=\"150995627\", alpha=\"0.00\", expect_size=\"45298688\"] \n  15 -> 31 [size =\"45298688\"]\n  15 -> 32 [size =\"45298688\"]\n  15 -> 34 [size =\"45298688\"]\n  16 [size=\"50312533\", alpha=\"0.03\", expect_size=\"15093760\"] \n  16 -> 29 [size =\"15093760\"]\n  16 -> 32 [size =\"15093760\"]\n  16 -> 34 [size =\"15093760\"]\n  16 -> 36 [size =\"15093760\"]\n  16 -> 40 [size =\"15093760\"]\n  17 [size=\"18288640\", alpha=\"0.17\", expect_size=\"5486592\"] \n  17 -> 32 [size =\"5486592\"]\n  17 -> 32 [size =\"5486592\"]\n  17 -> 34 [size =\"5486592\"]\n  17 -> 35 [size =\"5486592\"]\n  17 -> 36 [size =\"5486592\"]\n  17 -> 39 [size =\"5486592\"]\n  17 -> 40 [size =\"5486592\"]\n  18 [size=\"132078933\", alpha=\"0.04\", expect_size=\"39623680\"] \n  18 -> 30 [size =\"39623680\"]\n  18 -> 33 [size =\"39623680\"]\n  18 -> 35 [size =\"39623680\"]\n  18 -> 36 [size =\"39623680\"]\n  19 [size=\"120012800\", alpha=\"0.15\", expect_size=\"36003840\"] \n  19 -> 30 [size =\"36003840\"]\n  19 -> 33 [size =\"36003840\"]\n  20 [size=\"120002560\", alpha=\"0.06\", expect_size=\"36000768\"] \n  20 -> 30 [size =\"36000768\"]\n  20 -> 32 [size =\"36000768\"]\n  20 -> 33 [size =\"36000768\"]\n  20 -> 34 [size =\"36000768\"]\n  20 -> 36 [size =\"36000768\"]\n  21 [size=\"107735040\", alpha=\"0.05\", expect_size=\"32320512\"] \n  21 -> 30 [size =\"32320512\"]\n  21 -> 38 [size =\"32320512\"]\n  21 -> 39 [size =\"32320512\"]\n  21 -> 40 [size =\"32320512\"]\n  22 [size=\"54988800\", alpha=\"0.02\", expect_size=\"16496640\"] \n  22 -> 30 [size =\"16496640\"]\n  22 -> 35 [size =\"16496640\"]\n  22 -> 36 [size =\"16496640\"]\n  22 -> 40 [size =\"16496640\"]\n  23 [size=\"99539627\", alpha=\"0.19\", expect_size=\"29861888\"] \n  23 -> 29 [size =\"29861888\"]\n  23 -> 34 [size =\"29861888\"]\n  23 -> 35 [size =\"29861888\"]\n  23 -> 36 [size =\"29861888\"]\n  23 -> 37 [size =\"29861888\"]\n  23 -> 38 [size =\"29861888\"]\n  23 -> 40 [size =\"29861888\"]\n  24 [size=\"59753813\", alpha=\"0.13\", expect_size=\"17926144\"] \n  24 -> 29 [size =\"17926144\"]\n  24 -> 32 [size =\"17926144\"]\n  24 -> 33 [size =\"17926144\"]\n  24 -> 34 [size =\"17926144\"]\n  25 [size=\"125583360\", alpha=\"0.14\", expect_size=\"37675008\"] \n  25 -> 30 [size =\"37675008\"]\n  25 -> 32 [size =\"37675008\"]\n  26 [size=\"126989653\", alpha=\"0.03\", expect_size=\"38096896\"] \n  26 -> 29 [size =\"38096896\"]\n  26 -> 32 [size =\"38096896\"]\n  26 -> 35 [size =\"38096896\"]\n  26 -> 36 [size =\"38096896\"]\n  26 -> 37 [size =\"38096896\"]\n  26 -> 40 [size =\"38096896\"]\n  27 [size=\"151077547\", alpha=\"0.11\", expect_size=\"45323264\"] \n  27 -> 30 [size =\"45323264\"]\n  27 -> 35 [size =\"45323264\"]\n  27 -> 40 [size =\"45323264\"]\n  28 [size=\"127610880\", alpha=\"0.02\", expect_size=\"38283264\"] \n  28 -> 32 [size =\"38283264\"]\n  28 -> 33 [size =\"38283264\"]\n  28 -> 34 [size =\"38283264\"]\n  28 -> 35 [size =\"38283264\"]\n  29 [size=\"161122987\", alpha=\"0.19\", expect_size=\"48336896\"] \n  30 [size=\"125651627\", alpha=\"0.04\", expect_size=\"37695488\"] \n  31 [size=\"173011627\", alpha=\"0.20\", expect_size=\"51903488\"] \n  32 [size=\"54947840\", alpha=\"0.02\", expect_size=\"16484352\"] \n  33 [size=\"72895147\", alpha=\"0.03\", expect_size=\"21868544\"] \n  34 [size=\"64590507\", alpha=\"0.17\", expect_size=\"19377152\"] \n  35 [size=\"169448107\", alpha=\"0.08\", expect_size=\"50834432\"] \n  36 [size=\"118917120\", alpha=\"0.03\", expect_size=\"35675136\"] \n  37 [size=\"140840960\", alpha=\"0.18\", expect_size=\"42252288\"] \n  38 [size=\"72219307\", alpha=\"0.07\", expect_size=\"21665792\"] \n  39 [size=\"87893333\", alpha=\"0.10\", expect_size=\"26368000\"] \n  40 [size=\"81428480\", alpha=\"0.06\", expect_size=\"24428544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116761600\", alpha=\"0.09\", expect_size=\"46704640\"] \n  1 -> 3 [size =\"46704640\"]\n  1 -> 4 [size =\"46704640\"]\n  1 -> 5 [size =\"46704640\"]\n  2 [size=\"63777280\", alpha=\"0.02\", expect_size=\"25510912\"] \n  2 -> 3 [size =\"25510912\"]\n  2 -> 5 [size =\"25510912\"]\n  3 [size=\"66421760\", alpha=\"0.06\", expect_size=\"26568704\"] \n  3 -> 7 [size =\"26568704\"]\n  4 [size=\"110604800\", alpha=\"0.15\", expect_size=\"44241920\"] \n  4 -> 6 [size =\"44241920\"]\n  5 [size=\"84861440\", alpha=\"0.18\", expect_size=\"33944576\"] \n  5 -> 6 [size =\"33944576\"]\n  5 -> 7 [size =\"33944576\"]\n  6 [size=\"54743040\", alpha=\"0.09\", expect_size=\"21897216\"] \n  6 -> 8 [size =\"21897216\"]\n  6 -> 10 [size =\"21897216\"]\n  7 [size=\"126289920\", alpha=\"0.02\", expect_size=\"50515968\"] \n  7 -> 8 [size =\"50515968\"]\n  7 -> 9 [size =\"50515968\"]\n  7 -> 10 [size =\"50515968\"]\n  8 [size=\"91343360\", alpha=\"0.05\", expect_size=\"36537344\"] \n  8 -> 12 [size =\"36537344\"]\n  8 -> 13 [size =\"36537344\"]\n  9 [size=\"29644800\", alpha=\"0.18\", expect_size=\"11857920\"] \n  9 -> 11 [size =\"11857920\"]\n  10 [size=\"61288960\", alpha=\"0.02\", expect_size=\"24515584\"] \n  10 -> 12 [size =\"24515584\"]\n  10 -> 13 [size =\"24515584\"]\n  11 [size=\"113866240\", alpha=\"0.19\", expect_size=\"45546496\"] \n  11 -> 14 [size =\"45546496\"]\n  12 [size=\"49996800\", alpha=\"0.00\", expect_size=\"19998720\"] \n  12 -> 14 [size =\"19998720\"]\n  12 -> 15 [size =\"19998720\"]\n  13 [size=\"60889600\", alpha=\"0.11\", expect_size=\"24355840\"] \n  14 [size=\"97216000\", alpha=\"0.05\", expect_size=\"38886400\"] \n  14 -> 16 [size =\"38886400\"]\n  14 -> 17 [size =\"38886400\"]\n  14 -> 18 [size =\"38886400\"]\n  15 [size=\"65507840\", alpha=\"0.07\", expect_size=\"26203136\"] \n  15 -> 16 [size =\"26203136\"]\n  15 -> 17 [size =\"26203136\"]\n  15 -> 18 [size =\"26203136\"]\n  16 [size=\"54922240\", alpha=\"0.15\", expect_size=\"21968896\"] \n  16 -> 20 [size =\"21968896\"]\n  16 -> 21 [size =\"21968896\"]\n  17 [size=\"110205440\", alpha=\"0.06\", expect_size=\"44082176\"] \n  18 [size=\"122350080\", alpha=\"0.02\", expect_size=\"48940032\"] \n  18 -> 19 [size =\"48940032\"]\n  18 -> 20 [size =\"48940032\"]\n  19 [size=\"32184320\", alpha=\"0.08\", expect_size=\"12873728\"] \n  19 -> 22 [size =\"12873728\"]\n  20 [size=\"22568960\", alpha=\"0.08\", expect_size=\"9027584\"] \n  20 -> 23 [size =\"9027584\"]\n  21 [size=\"37086720\", alpha=\"0.06\", expect_size=\"14834688\"] \n  22 [size=\"31098880\", alpha=\"0.12\", expect_size=\"12439552\"] \n  22 -> 24 [size =\"12439552\"]\n  22 -> 25 [size =\"12439552\"]\n  23 [size=\"32381440\", alpha=\"0.07\", expect_size=\"12952576\"] \n  24 [size=\"99484160\", alpha=\"0.19\", expect_size=\"39793664\"] \n  24 -> 26 [size =\"39793664\"]\n  25 [size=\"131066880\", alpha=\"0.02\", expect_size=\"52426752\"] \n  25 -> 27 [size =\"52426752\"]\n  26 [size=\"55352320\", alpha=\"0.13\", expect_size=\"22140928\"] \n  26 -> 28 [size =\"22140928\"]\n  26 -> 29 [size =\"22140928\"]\n  27 [size=\"23511040\", alpha=\"0.04\", expect_size=\"9404416\"] \n  27 -> 28 [size =\"9404416\"]\n  28 [size=\"57213440\", alpha=\"0.07\", expect_size=\"22885376\"] \n  28 -> 30 [size =\"22885376\"]\n  28 -> 31 [size =\"22885376\"]\n  28 -> 32 [size =\"22885376\"]\n  29 [size=\"70494720\", alpha=\"0.13\", expect_size=\"28197888\"] \n  29 -> 31 [size =\"28197888\"]\n  29 -> 32 [size =\"28197888\"]\n  30 [size=\"118784000\", alpha=\"0.07\", expect_size=\"47513600\"] \n  30 -> 33 [size =\"47513600\"]\n  30 -> 34 [size =\"47513600\"]\n  31 [size=\"48839680\", alpha=\"0.19\", expect_size=\"19535872\"] \n  31 -> 34 [size =\"19535872\"]\n  32 [size=\"82278400\", alpha=\"0.16\", expect_size=\"32911360\"] \n  33 [size=\"33848320\", alpha=\"0.02\", expect_size=\"13539328\"] \n  33 -> 36 [size =\"13539328\"]\n  34 [size=\"74823680\", alpha=\"0.02\", expect_size=\"29929472\"] \n  34 -> 35 [size =\"29929472\"]\n  34 -> 36 [size =\"29929472\"]\n  34 -> 37 [size =\"29929472\"]\n  35 [size=\"66777600\", alpha=\"0.11\", expect_size=\"26711040\"] \n  35 -> 39 [size =\"26711040\"]\n  36 [size=\"81461760\", alpha=\"0.07\", expect_size=\"32584704\"] \n  36 -> 39 [size =\"32584704\"]\n  37 [size=\"42552320\", alpha=\"0.20\", expect_size=\"17020928\"] \n  37 -> 38 [size =\"17020928\"]\n  38 [size=\"63232000\", alpha=\"0.11\", expect_size=\"25292800\"] \n  38 -> 40 [size =\"25292800\"]\n  39 [size=\"103774720\", alpha=\"0.05\", expect_size=\"41509888\"] \n  39 -> 40 [size =\"41509888\"]\n  40 [size=\"62748160\", alpha=\"0.01\", expect_size=\"25099264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94232576\", alpha=\"0.20\", expect_size=\"47116288\"] \n  1 -> 40 [size =\"47116288\"]\n  2 [size=\"22380544\", alpha=\"0.16\", expect_size=\"11190272\"] \n  3 [size=\"93822976\", alpha=\"0.10\", expect_size=\"46911488\"] \n  3 -> 40 [size =\"46911488\"]\n  4 [size=\"38283264\", alpha=\"0.07\", expect_size=\"19141632\"] \n  5 [size=\"27959296\", alpha=\"0.06\", expect_size=\"13979648\"] \n  5 -> 38 [size =\"13979648\"]\n  5 -> 39 [size =\"13979648\"]\n  6 [size=\"49025024\", alpha=\"0.16\", expect_size=\"24512512\"] \n  6 -> 38 [size =\"24512512\"]\n  6 -> 39 [size =\"24512512\"]\n  7 [size=\"17618944\", alpha=\"0.00\", expect_size=\"8809472\"] \n  7 -> 39 [size =\"8809472\"]\n  7 -> 40 [size =\"8809472\"]\n  8 [size=\"28956672\", alpha=\"0.05\", expect_size=\"14478336\"] \n  8 -> 39 [size =\"14478336\"]\n  8 -> 40 [size =\"14478336\"]\n  9 [size=\"81059840\", alpha=\"0.18\", expect_size=\"40529920\"] \n  9 -> 40 [size =\"40529920\"]\n  9 -> 40 [size =\"40529920\"]\n  10 [size=\"80140288\", alpha=\"0.16\", expect_size=\"40070144\"] \n  10 -> 38 [size =\"40070144\"]\n  11 [size=\"86865920\", alpha=\"0.10\", expect_size=\"43432960\"] \n  11 -> 39 [size =\"43432960\"]\n  12 [size=\"84518912\", alpha=\"0.18\", expect_size=\"42259456\"] \n  12 -> 38 [size =\"42259456\"]\n  12 -> 39 [size =\"42259456\"]\n  13 [size=\"65128448\", alpha=\"0.04\", expect_size=\"32564224\"] \n  13 -> 40 [size =\"32564224\"]\n  14 [size=\"17645568\", alpha=\"0.13\", expect_size=\"8822784\"] \n  14 -> 39 [size =\"8822784\"]\n  14 -> 40 [size =\"8822784\"]\n  15 [size=\"52852736\", alpha=\"0.06\", expect_size=\"26426368\"] \n  15 -> 39 [size =\"26426368\"]\n  15 -> 40 [size =\"26426368\"]\n  16 [size=\"82161664\", alpha=\"0.10\", expect_size=\"41080832\"] \n  16 -> 39 [size =\"41080832\"]\n  17 [size=\"61814784\", alpha=\"0.04\", expect_size=\"30907392\"] \n  17 -> 39 [size =\"30907392\"]\n  18 [size=\"61882368\", alpha=\"0.14\", expect_size=\"30941184\"] \n  19 [size=\"87369728\", alpha=\"0.06\", expect_size=\"43684864\"] \n  19 -> 40 [size =\"43684864\"]\n  20 [size=\"79884288\", alpha=\"0.03\", expect_size=\"39942144\"] \n  20 -> 39 [size =\"39942144\"]\n  20 -> 40 [size =\"39942144\"]\n  21 [size=\"62660608\", alpha=\"0.17\", expect_size=\"31330304\"] \n  21 -> 38 [size =\"31330304\"]\n  21 -> 39 [size =\"31330304\"]\n  22 [size=\"17111040\", alpha=\"0.14\", expect_size=\"8555520\"] \n  22 -> 38 [size =\"8555520\"]\n  22 -> 40 [size =\"8555520\"]\n  23 [size=\"99702784\", alpha=\"0.08\", expect_size=\"49851392\"] \n  23 -> 38 [size =\"49851392\"]\n  24 [size=\"22216704\", alpha=\"0.08\", expect_size=\"11108352\"] \n  25 [size=\"85110784\", alpha=\"0.13\", expect_size=\"42555392\"] \n  26 [size=\"18364416\", alpha=\"0.05\", expect_size=\"9182208\"] \n  26 -> 38 [size =\"9182208\"]\n  26 -> 40 [size =\"9182208\"]\n  27 [size=\"66324480\", alpha=\"0.19\", expect_size=\"33162240\"] \n  27 -> 38 [size =\"33162240\"]\n  27 -> 40 [size =\"33162240\"]\n  28 [size=\"83472384\", alpha=\"0.16\", expect_size=\"41736192\"] \n  28 -> 40 [size =\"41736192\"]\n  29 [size=\"55431168\", alpha=\"0.09\", expect_size=\"27715584\"] \n  29 -> 38 [size =\"27715584\"]\n  29 -> 39 [size =\"27715584\"]\n  30 [size=\"83492864\", alpha=\"0.16\", expect_size=\"41746432\"] \n  30 -> 38 [size =\"41746432\"]\n  31 [size=\"95293440\", alpha=\"0.20\", expect_size=\"47646720\"] \n  31 -> 38 [size =\"47646720\"]\n  31 -> 39 [size =\"47646720\"]\n  32 [size=\"80207872\", alpha=\"0.19\", expect_size=\"40103936\"] \n  32 -> 38 [size =\"40103936\"]\n  32 -> 39 [size =\"40103936\"]\n  33 [size=\"50135040\", alpha=\"0.10\", expect_size=\"25067520\"] \n  33 -> 38 [size =\"25067520\"]\n  34 [size=\"88412160\", alpha=\"0.02\", expect_size=\"44206080\"] \n  34 -> 38 [size =\"44206080\"]\n  35 [size=\"34093056\", alpha=\"0.04\", expect_size=\"17046528\"] \n  36 [size=\"93396992\", alpha=\"0.00\", expect_size=\"46698496\"] \n  37 [size=\"21749760\", alpha=\"0.08\", expect_size=\"10874880\"] \n  37 -> 39 [size =\"10874880\"]\n  38 [size=\"15028224\", alpha=\"0.06\", expect_size=\"7514112\"] \n  39 [size=\"91705344\", alpha=\"0.01\", expect_size=\"45852672\"] \n  40 [size=\"39241728\", alpha=\"0.10\", expect_size=\"19620864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64494080\", alpha=\"0.12\", expect_size=\"25797632\"] \n  1 -> 4 [size =\"25797632\"]\n  2 [size=\"97925120\", alpha=\"0.08\", expect_size=\"39170048\"] \n  2 -> 3 [size =\"39170048\"]\n  3 [size=\"64627200\", alpha=\"0.15\", expect_size=\"25850880\"] \n  3 -> 5 [size =\"25850880\"]\n  3 -> 7 [size =\"25850880\"]\n  4 [size=\"32721920\", alpha=\"0.02\", expect_size=\"13088768\"] \n  4 -> 6 [size =\"13088768\"]\n  5 [size=\"115136000\", alpha=\"0.04\", expect_size=\"46054400\"] \n  5 -> 8 [size =\"46054400\"]\n  5 -> 9 [size =\"46054400\"]\n  5 -> 10 [size =\"46054400\"]\n  6 [size=\"44090880\", alpha=\"0.01\", expect_size=\"17636352\"] \n  6 -> 8 [size =\"17636352\"]\n  7 [size=\"84631040\", alpha=\"0.03\", expect_size=\"33852416\"] \n  8 [size=\"130071040\", alpha=\"0.12\", expect_size=\"52028416\"] \n  8 -> 12 [size =\"52028416\"]\n  9 [size=\"73049600\", alpha=\"0.18\", expect_size=\"29219840\"] \n  9 -> 11 [size =\"29219840\"]\n  10 [size=\"70410240\", alpha=\"0.09\", expect_size=\"28164096\"] \n  11 [size=\"32074240\", alpha=\"0.11\", expect_size=\"12829696\"] \n  12 [size=\"103984640\", alpha=\"0.17\", expect_size=\"41593856\"] \n  12 -> 13 [size =\"41593856\"]\n  12 -> 14 [size =\"41593856\"]\n  13 [size=\"34163200\", alpha=\"0.16\", expect_size=\"13665280\"] \n  13 -> 15 [size =\"13665280\"]\n  14 [size=\"120360960\", alpha=\"0.16\", expect_size=\"48144384\"] \n  14 -> 16 [size =\"48144384\"]\n  15 [size=\"15129600\", alpha=\"0.07\", expect_size=\"6051840\"] \n  15 -> 17 [size =\"6051840\"]\n  16 [size=\"41272320\", alpha=\"0.18\", expect_size=\"16508928\"] \n  16 -> 18 [size =\"16508928\"]\n  17 [size=\"48547840\", alpha=\"0.10\", expect_size=\"19419136\"] \n  17 -> 19 [size =\"19419136\"]\n  17 -> 20 [size =\"19419136\"]\n  18 [size=\"65226240\", alpha=\"0.12\", expect_size=\"26090496\"] \n  19 [size=\"19714560\", alpha=\"0.17\", expect_size=\"7885824\"] \n  20 [size=\"126330880\", alpha=\"0.05\", expect_size=\"50532352\"] \n  20 -> 21 [size =\"50532352\"]\n  20 -> 22 [size =\"50532352\"]\n  21 [size=\"61273600\", alpha=\"0.01\", expect_size=\"24509440\"] \n  21 -> 23 [size =\"24509440\"]\n  21 -> 24 [size =\"24509440\"]\n  22 [size=\"126077440\", alpha=\"0.12\", expect_size=\"50430976\"] \n  22 -> 25 [size =\"50430976\"]\n  23 [size=\"105999360\", alpha=\"0.12\", expect_size=\"42399744\"] \n  24 [size=\"83374080\", alpha=\"0.15\", expect_size=\"33349632\"] \n  24 -> 27 [size =\"33349632\"]\n  25 [size=\"58736640\", alpha=\"0.15\", expect_size=\"23494656\"] \n  25 -> 26 [size =\"23494656\"]\n  26 [size=\"99740160\", alpha=\"0.01\", expect_size=\"39896064\"] \n  26 -> 29 [size =\"39896064\"]\n  27 [size=\"87457280\", alpha=\"0.18\", expect_size=\"34982912\"] \n  27 -> 28 [size =\"34982912\"]\n  28 [size=\"29754880\", alpha=\"0.16\", expect_size=\"11901952\"] \n  28 -> 31 [size =\"11901952\"]\n  29 [size=\"102748160\", alpha=\"0.04\", expect_size=\"41099264\"] \n  29 -> 30 [size =\"41099264\"]\n  29 -> 32 [size =\"41099264\"]\n  30 [size=\"84323840\", alpha=\"0.01\", expect_size=\"33729536\"] \n  30 -> 33 [size =\"33729536\"]\n  30 -> 34 [size =\"33729536\"]\n  31 [size=\"112158720\", alpha=\"0.02\", expect_size=\"44863488\"] \n  32 [size=\"119674880\", alpha=\"0.18\", expect_size=\"47869952\"] \n  33 [size=\"73725440\", alpha=\"0.17\", expect_size=\"29490176\"] \n  34 [size=\"25832960\", alpha=\"0.15\", expect_size=\"10333184\"] \n  34 -> 35 [size =\"10333184\"]\n  34 -> 36 [size =\"10333184\"]\n  34 -> 37 [size =\"10333184\"]\n  35 [size=\"113574400\", alpha=\"0.13\", expect_size=\"45429760\"] \n  35 -> 38 [size =\"45429760\"]\n  35 -> 39 [size =\"45429760\"]\n  35 -> 40 [size =\"45429760\"]\n  36 [size=\"85089280\", alpha=\"0.16\", expect_size=\"34035712\"] \n  37 [size=\"89323520\", alpha=\"0.05\", expect_size=\"35729408\"] \n  37 -> 39 [size =\"35729408\"]\n  38 [size=\"79836160\", alpha=\"0.02\", expect_size=\"31934464\"] \n  39 [size=\"55631360\", alpha=\"0.01\", expect_size=\"22252544\"] \n  40 [size=\"76651520\", alpha=\"0.19\", expect_size=\"30660608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23733760\", alpha=\"0.10\", expect_size=\"9493504\"] \n  1 -> 2 [size =\"9493504\"]\n  2 [size=\"35584000\", alpha=\"0.13\", expect_size=\"14233600\"] \n  2 -> 3 [size =\"14233600\"]\n  3 [size=\"32488960\", alpha=\"0.12\", expect_size=\"12995584\"] \n  3 -> 4 [size =\"12995584\"]\n  4 [size=\"91348480\", alpha=\"0.20\", expect_size=\"36539392\"] \n  4 -> 5 [size =\"36539392\"]\n  5 [size=\"20902400\", alpha=\"0.04\", expect_size=\"8360960\"] \n  5 -> 6 [size =\"8360960\"]\n  6 [size=\"15485440\", alpha=\"0.16\", expect_size=\"6194176\"] \n  6 -> 7 [size =\"6194176\"]\n  7 [size=\"120878080\", alpha=\"0.16\", expect_size=\"48351232\"] \n  7 -> 8 [size =\"48351232\"]\n  8 [size=\"98647040\", alpha=\"0.01\", expect_size=\"39458816\"] \n  8 -> 9 [size =\"39458816\"]\n  9 [size=\"88353280\", alpha=\"0.20\", expect_size=\"35341312\"] \n  9 -> 10 [size =\"35341312\"]\n  10 [size=\"20628480\", alpha=\"0.09\", expect_size=\"8251392\"] \n  10 -> 11 [size =\"8251392\"]\n  11 [size=\"24824320\", alpha=\"0.18\", expect_size=\"9929728\"] \n  11 -> 12 [size =\"9929728\"]\n  12 [size=\"81835520\", alpha=\"0.10\", expect_size=\"32734208\"] \n  12 -> 13 [size =\"32734208\"]\n  13 [size=\"39564800\", alpha=\"0.12\", expect_size=\"15825920\"] \n  13 -> 14 [size =\"15825920\"]\n  14 [size=\"112161280\", alpha=\"0.03\", expect_size=\"44864512\"] \n  14 -> 15 [size =\"44864512\"]\n  15 [size=\"111050240\", alpha=\"0.01\", expect_size=\"44420096\"] \n  15 -> 16 [size =\"44420096\"]\n  16 [size=\"14696960\", alpha=\"0.03\", expect_size=\"5878784\"] \n  16 -> 17 [size =\"5878784\"]\n  17 [size=\"107333120\", alpha=\"0.01\", expect_size=\"42933248\"] \n  17 -> 18 [size =\"42933248\"]\n  18 [size=\"83422720\", alpha=\"0.02\", expect_size=\"33369088\"] \n  18 -> 19 [size =\"33369088\"]\n  19 [size=\"87797760\", alpha=\"0.06\", expect_size=\"35119104\"] \n  19 -> 20 [size =\"35119104\"]\n  20 [size=\"86991360\", alpha=\"0.09\", expect_size=\"34796544\"] \n  20 -> 21 [size =\"34796544\"]\n  21 [size=\"19758080\", alpha=\"0.13\", expect_size=\"7903232\"] \n  21 -> 22 [size =\"7903232\"]\n  22 [size=\"127011840\", alpha=\"0.01\", expect_size=\"50804736\"] \n  22 -> 23 [size =\"50804736\"]\n  23 [size=\"65390080\", alpha=\"0.13\", expect_size=\"26156032\"] \n  23 -> 24 [size =\"26156032\"]\n  24 [size=\"17507840\", alpha=\"0.18\", expect_size=\"7003136\"] \n  24 -> 25 [size =\"7003136\"]\n  25 [size=\"35870720\", alpha=\"0.04\", expect_size=\"14348288\"] \n  25 -> 26 [size =\"14348288\"]\n  26 [size=\"41208320\", alpha=\"0.10\", expect_size=\"16483328\"] \n  26 -> 27 [size =\"16483328\"]\n  27 [size=\"57886720\", alpha=\"0.15\", expect_size=\"23154688\"] \n  27 -> 28 [size =\"23154688\"]\n  28 [size=\"63923200\", alpha=\"0.15\", expect_size=\"25569280\"] \n  28 -> 29 [size =\"25569280\"]\n  29 [size=\"76810240\", alpha=\"0.07\", expect_size=\"30724096\"] \n  29 -> 30 [size =\"30724096\"]\n  30 [size=\"112281600\", alpha=\"0.20\", expect_size=\"44912640\"] \n  30 -> 31 [size =\"44912640\"]\n  31 [size=\"45416960\", alpha=\"0.15\", expect_size=\"18166784\"] \n  31 -> 32 [size =\"18166784\"]\n  32 [size=\"122767360\", alpha=\"0.02\", expect_size=\"49106944\"] \n  32 -> 33 [size =\"49106944\"]\n  33 [size=\"130882560\", alpha=\"0.14\", expect_size=\"52353024\"] \n  33 -> 34 [size =\"52353024\"]\n  34 [size=\"89146880\", alpha=\"0.02\", expect_size=\"35658752\"] \n  34 -> 35 [size =\"35658752\"]\n  35 [size=\"75804160\", alpha=\"0.07\", expect_size=\"30321664\"] \n  35 -> 36 [size =\"30321664\"]\n  36 [size=\"98649600\", alpha=\"0.12\", expect_size=\"39459840\"] \n  36 -> 37 [size =\"39459840\"]\n  37 [size=\"42099200\", alpha=\"0.13\", expect_size=\"16839680\"] \n  37 -> 38 [size =\"16839680\"]\n  38 [size=\"13923840\", alpha=\"0.06\", expect_size=\"5569536\"] \n  38 -> 39 [size =\"5569536\"]\n  39 [size=\"99663360\", alpha=\"0.12\", expect_size=\"39865344\"] \n  39 -> 40 [size =\"39865344\"]\n  40 [size=\"20669440\", alpha=\"0.10\", expect_size=\"8267776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91279360\", alpha=\"0.03\", expect_size=\"27383808\"] \n  1 -> 2 [size =\"27383808\"]\n  2 [size=\"152818347\", alpha=\"0.15\", expect_size=\"45845504\"] \n  2 -> 3 [size =\"45845504\"]\n  3 [size=\"55115093\", alpha=\"0.15\", expect_size=\"16534528\"] \n  3 -> 4 [size =\"16534528\"]\n  4 [size=\"34423467\", alpha=\"0.05\", expect_size=\"10327040\"] \n  4 -> 5 [size =\"10327040\"]\n  5 [size=\"33030827\", alpha=\"0.03\", expect_size=\"9909248\"] \n  5 -> 6 [size =\"9909248\"]\n  6 [size=\"94262613\", alpha=\"0.04\", expect_size=\"28278784\"] \n  6 -> 7 [size =\"28278784\"]\n  7 [size=\"55886507\", alpha=\"0.16\", expect_size=\"16765952\"] \n  7 -> 8 [size =\"16765952\"]\n  8 [size=\"136096427\", alpha=\"0.19\", expect_size=\"40828928\"] \n  8 -> 9 [size =\"40828928\"]\n  9 [size=\"90535253\", alpha=\"0.04\", expect_size=\"27160576\"] \n  9 -> 10 [size =\"27160576\"]\n  10 [size=\"36744533\", alpha=\"0.10\", expect_size=\"11023360\"] \n  10 -> 11 [size =\"11023360\"]\n  11 [size=\"95003307\", alpha=\"0.08\", expect_size=\"28500992\"] \n  11 -> 12 [size =\"28500992\"]\n  12 [size=\"115821227\", alpha=\"0.09\", expect_size=\"34746368\"] \n  12 -> 13 [size =\"34746368\"]\n  13 [size=\"78527147\", alpha=\"0.17\", expect_size=\"23558144\"] \n  13 -> 14 [size =\"23558144\"]\n  14 [size=\"39577600\", alpha=\"0.02\", expect_size=\"11873280\"] \n  14 -> 15 [size =\"11873280\"]\n  15 [size=\"80056320\", alpha=\"0.00\", expect_size=\"24016896\"] \n  15 -> 16 [size =\"24016896\"]\n  16 [size=\"107571200\", alpha=\"0.11\", expect_size=\"32271360\"] \n  16 -> 17 [size =\"32271360\"]\n  17 [size=\"135307947\", alpha=\"0.12\", expect_size=\"40592384\"] \n  17 -> 18 [size =\"40592384\"]\n  18 [size=\"102669653\", alpha=\"0.03\", expect_size=\"30800896\"] \n  18 -> 19 [size =\"30800896\"]\n  19 [size=\"96116053\", alpha=\"0.17\", expect_size=\"28834816\"] \n  19 -> 20 [size =\"28834816\"]\n  20 [size=\"128150187\", alpha=\"0.05\", expect_size=\"38445056\"] \n  20 -> 21 [size =\"38445056\"]\n  21 [size=\"51684693\", alpha=\"0.01\", expect_size=\"15505408\"] \n  21 -> 22 [size =\"15505408\"]\n  22 [size=\"111134720\", alpha=\"0.15\", expect_size=\"33340416\"] \n  22 -> 23 [size =\"33340416\"]\n  23 [size=\"20865707\", alpha=\"0.14\", expect_size=\"6259712\"] \n  23 -> 24 [size =\"6259712\"]\n  24 [size=\"158443520\", alpha=\"0.15\", expect_size=\"47533056\"] \n  24 -> 25 [size =\"47533056\"]\n  25 [size=\"170854400\", alpha=\"0.17\", expect_size=\"51256320\"] \n  25 -> 26 [size =\"51256320\"]\n  26 [size=\"170970453\", alpha=\"0.10\", expect_size=\"51291136\"] \n  26 -> 27 [size =\"51291136\"]\n  27 [size=\"103021227\", alpha=\"0.07\", expect_size=\"30906368\"] \n  27 -> 28 [size =\"30906368\"]\n  28 [size=\"41656320\", alpha=\"0.20\", expect_size=\"12496896\"] \n  28 -> 29 [size =\"12496896\"]\n  29 [size=\"68734293\", alpha=\"0.02\", expect_size=\"20620288\"] \n  29 -> 30 [size =\"20620288\"]\n  30 [size=\"48851627\", alpha=\"0.06\", expect_size=\"14655488\"] \n  30 -> 31 [size =\"14655488\"]\n  31 [size=\"85910187\", alpha=\"0.20\", expect_size=\"25773056\"] \n  31 -> 32 [size =\"25773056\"]\n  32 [size=\"96436907\", alpha=\"0.06\", expect_size=\"28931072\"] \n  32 -> 33 [size =\"28931072\"]\n  33 [size=\"58480640\", alpha=\"0.01\", expect_size=\"17544192\"] \n  33 -> 34 [size =\"17544192\"]\n  34 [size=\"166970027\", alpha=\"0.18\", expect_size=\"50091008\"] \n  34 -> 35 [size =\"50091008\"]\n  35 [size=\"124282880\", alpha=\"0.03\", expect_size=\"37284864\"] \n  35 -> 36 [size =\"37284864\"]\n  36 [size=\"103260160\", alpha=\"0.20\", expect_size=\"30978048\"] \n  36 -> 37 [size =\"30978048\"]\n  37 [size=\"23405227\", alpha=\"0.11\", expect_size=\"7021568\"] \n  37 -> 38 [size =\"7021568\"]\n  38 [size=\"80414720\", alpha=\"0.14\", expect_size=\"24124416\"] \n  38 -> 39 [size =\"24124416\"]\n  39 [size=\"78339413\", alpha=\"0.06\", expect_size=\"23501824\"] \n  39 -> 40 [size =\"23501824\"]\n  40 [size=\"90238293\", alpha=\"0.12\", expect_size=\"27071488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99969024\", alpha=\"0.08\", expect_size=\"49984512\"] \n  1 -> 2 [size =\"49984512\"]\n  2 [size=\"24776704\", alpha=\"0.00\", expect_size=\"12388352\"] \n  2 -> 3 [size =\"12388352\"]\n  3 [size=\"101152768\", alpha=\"0.11\", expect_size=\"50576384\"] \n  3 -> 4 [size =\"50576384\"]\n  4 [size=\"79292416\", alpha=\"0.04\", expect_size=\"39646208\"] \n  4 -> 5 [size =\"39646208\"]\n  5 [size=\"43024384\", alpha=\"0.18\", expect_size=\"21512192\"] \n  5 -> 6 [size =\"21512192\"]\n  6 [size=\"77719552\", alpha=\"0.16\", expect_size=\"38859776\"] \n  6 -> 7 [size =\"38859776\"]\n  7 [size=\"46548992\", alpha=\"0.12\", expect_size=\"23274496\"] \n  7 -> 8 [size =\"23274496\"]\n  8 [size=\"24735744\", alpha=\"0.15\", expect_size=\"12367872\"] \n  8 -> 9 [size =\"12367872\"]\n  9 [size=\"32215040\", alpha=\"0.07\", expect_size=\"16107520\"] \n  9 -> 10 [size =\"16107520\"]\n  10 [size=\"76967936\", alpha=\"0.12\", expect_size=\"38483968\"] \n  10 -> 11 [size =\"38483968\"]\n  11 [size=\"58480640\", alpha=\"0.18\", expect_size=\"29240320\"] \n  11 -> 12 [size =\"29240320\"]\n  12 [size=\"95997952\", alpha=\"0.01\", expect_size=\"47998976\"] \n  12 -> 13 [size =\"47998976\"]\n  13 [size=\"97912832\", alpha=\"0.19\", expect_size=\"48956416\"] \n  13 -> 14 [size =\"48956416\"]\n  14 [size=\"55336960\", alpha=\"0.09\", expect_size=\"27668480\"] \n  14 -> 15 [size =\"27668480\"]\n  15 [size=\"75247616\", alpha=\"0.02\", expect_size=\"37623808\"] \n  15 -> 16 [size =\"37623808\"]\n  16 [size=\"64430080\", alpha=\"0.17\", expect_size=\"32215040\"] \n  16 -> 17 [size =\"32215040\"]\n  17 [size=\"47779840\", alpha=\"0.05\", expect_size=\"23889920\"] \n  17 -> 18 [size =\"23889920\"]\n  18 [size=\"103241728\", alpha=\"0.03\", expect_size=\"51620864\"] \n  18 -> 19 [size =\"51620864\"]\n  19 [size=\"77899776\", alpha=\"0.15\", expect_size=\"38949888\"] \n  19 -> 20 [size =\"38949888\"]\n  20 [size=\"14409728\", alpha=\"0.16\", expect_size=\"7204864\"] \n  20 -> 21 [size =\"7204864\"]\n  21 [size=\"69464064\", alpha=\"0.16\", expect_size=\"34732032\"] \n  21 -> 22 [size =\"34732032\"]\n  22 [size=\"61816832\", alpha=\"0.20\", expect_size=\"30908416\"] \n  22 -> 23 [size =\"30908416\"]\n  23 [size=\"66545664\", alpha=\"0.02\", expect_size=\"33272832\"] \n  23 -> 24 [size =\"33272832\"]\n  24 [size=\"62267392\", alpha=\"0.19\", expect_size=\"31133696\"] \n  24 -> 25 [size =\"31133696\"]\n  25 [size=\"104769536\", alpha=\"0.03\", expect_size=\"52384768\"] \n  25 -> 26 [size =\"52384768\"]\n  26 [size=\"18298880\", alpha=\"0.01\", expect_size=\"9149440\"] \n  26 -> 27 [size =\"9149440\"]\n  27 [size=\"97443840\", alpha=\"0.07\", expect_size=\"48721920\"] \n  27 -> 28 [size =\"48721920\"]\n  28 [size=\"28985344\", alpha=\"0.15\", expect_size=\"14492672\"] \n  28 -> 29 [size =\"14492672\"]\n  29 [size=\"43948032\", alpha=\"0.09\", expect_size=\"21974016\"] \n  29 -> 30 [size =\"21974016\"]\n  30 [size=\"20813824\", alpha=\"0.16\", expect_size=\"10406912\"] \n  30 -> 31 [size =\"10406912\"]\n  31 [size=\"97595392\", alpha=\"0.14\", expect_size=\"48797696\"] \n  31 -> 32 [size =\"48797696\"]\n  32 [size=\"80662528\", alpha=\"0.10\", expect_size=\"40331264\"] \n  32 -> 33 [size =\"40331264\"]\n  33 [size=\"78675968\", alpha=\"0.04\", expect_size=\"39337984\"] \n  33 -> 34 [size =\"39337984\"]\n  34 [size=\"87934976\", alpha=\"0.08\", expect_size=\"43967488\"] \n  34 -> 35 [size =\"43967488\"]\n  35 [size=\"82874368\", alpha=\"0.05\", expect_size=\"41437184\"] \n  35 -> 36 [size =\"41437184\"]\n  36 [size=\"96032768\", alpha=\"0.14\", expect_size=\"48016384\"] \n  36 -> 37 [size =\"48016384\"]\n  37 [size=\"100274176\", alpha=\"0.11\", expect_size=\"50137088\"] \n  37 -> 38 [size =\"50137088\"]\n  38 [size=\"37289984\", alpha=\"0.08\", expect_size=\"18644992\"] \n  38 -> 39 [size =\"18644992\"]\n  39 [size=\"15704064\", alpha=\"0.18\", expect_size=\"7852032\"] \n  39 -> 40 [size =\"7852032\"]\n  40 [size=\"57245696\", alpha=\"0.10\", expect_size=\"28622848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165949440\", alpha=\"0.12\", expect_size=\"49784832\"] \n  1 -> 7 [size =\"49784832\"]\n  1 -> 10 [size =\"49784832\"]\n  1 -> 12 [size =\"49784832\"]\n  2 [size=\"83671040\", alpha=\"0.08\", expect_size=\"25101312\"] \n  2 -> 12 [size =\"25101312\"]\n  3 [size=\"113442133\", alpha=\"0.13\", expect_size=\"34032640\"] \n  4 [size=\"105854293\", alpha=\"0.18\", expect_size=\"31756288\"] \n  4 -> 8 [size =\"31756288\"]\n  5 [size=\"145233920\", alpha=\"0.01\", expect_size=\"43570176\"] \n  5 -> 9 [size =\"43570176\"]\n  5 -> 12 [size =\"43570176\"]\n  6 [size=\"83940693\", alpha=\"0.12\", expect_size=\"25182208\"] \n  6 -> 8 [size =\"25182208\"]\n  6 -> 11 [size =\"25182208\"]\n  7 [size=\"74748587\", alpha=\"0.07\", expect_size=\"22424576\"] \n  7 -> 14 [size =\"22424576\"]\n  7 -> 17 [size =\"22424576\"]\n  8 [size=\"80165547\", alpha=\"0.07\", expect_size=\"24049664\"] \n  8 -> 15 [size =\"24049664\"]\n  9 [size=\"33914880\", alpha=\"0.05\", expect_size=\"10174464\"] \n  9 -> 14 [size =\"10174464\"]\n  9 -> 15 [size =\"10174464\"]\n  9 -> 16 [size =\"10174464\"]\n  10 [size=\"84244480\", alpha=\"0.04\", expect_size=\"25273344\"] \n  10 -> 14 [size =\"25273344\"]\n  11 [size=\"44926293\", alpha=\"0.17\", expect_size=\"13477888\"] \n  12 [size=\"138915840\", alpha=\"0.18\", expect_size=\"41674752\"] \n  12 -> 13 [size =\"41674752\"]\n  12 -> 15 [size =\"41674752\"]\n  13 [size=\"44195840\", alpha=\"0.02\", expect_size=\"13258752\"] \n  13 -> 19 [size =\"13258752\"]\n  13 -> 19 [size =\"13258752\"]\n  13 -> 20 [size =\"13258752\"]\n  13 -> 21 [size =\"13258752\"]\n  13 -> 22 [size =\"13258752\"]\n  14 [size=\"144032427\", alpha=\"0.05\", expect_size=\"43209728\"] \n  15 [size=\"130232320\", alpha=\"0.20\", expect_size=\"39069696\"] \n  15 -> 18 [size =\"39069696\"]\n  15 -> 21 [size =\"39069696\"]\n  16 [size=\"136512853\", alpha=\"0.16\", expect_size=\"40953856\"] \n  16 -> 20 [size =\"40953856\"]\n  16 -> 22 [size =\"40953856\"]\n  16 -> 23 [size =\"40953856\"]\n  17 [size=\"69819733\", alpha=\"0.18\", expect_size=\"20945920\"] \n  17 -> 18 [size =\"20945920\"]\n  17 -> 19 [size =\"20945920\"]\n  17 -> 20 [size =\"20945920\"]\n  17 -> 21 [size =\"20945920\"]\n  17 -> 22 [size =\"20945920\"]\n  18 [size=\"126580053\", alpha=\"0.18\", expect_size=\"37974016\"] \n  19 [size=\"23343787\", alpha=\"0.06\", expect_size=\"7003136\"] \n  19 -> 25 [size =\"7003136\"]\n  19 -> 27 [size =\"7003136\"]\n  20 [size=\"62211413\", alpha=\"0.02\", expect_size=\"18663424\"] \n  21 [size=\"96535893\", alpha=\"0.16\", expect_size=\"28960768\"] \n  21 -> 25 [size =\"28960768\"]\n  21 -> 26 [size =\"28960768\"]\n  22 [size=\"76479147\", alpha=\"0.18\", expect_size=\"22943744\"] \n  22 -> 26 [size =\"22943744\"]\n  22 -> 26 [size =\"22943744\"]\n  22 -> 27 [size =\"22943744\"]\n  22 -> 28 [size =\"22943744\"]\n  23 [size=\"57251840\", alpha=\"0.13\", expect_size=\"17175552\"] \n  23 -> 24 [size =\"17175552\"]\n  24 [size=\"73949867\", alpha=\"0.19\", expect_size=\"22184960\"] \n  24 -> 29 [size =\"22184960\"]\n  24 -> 32 [size =\"22184960\"]\n  25 [size=\"115073707\", alpha=\"0.01\", expect_size=\"34522112\"] \n  25 -> 33 [size =\"34522112\"]\n  26 [size=\"113025707\", alpha=\"0.12\", expect_size=\"33907712\"] \n  26 -> 30 [size =\"33907712\"]\n  26 -> 31 [size =\"33907712\"]\n  26 -> 33 [size =\"33907712\"]\n  27 [size=\"84135253\", alpha=\"0.10\", expect_size=\"25240576\"] \n  27 -> 29 [size =\"25240576\"]\n  27 -> 30 [size =\"25240576\"]\n  27 -> 31 [size =\"25240576\"]\n  28 [size=\"65416533\", alpha=\"0.16\", expect_size=\"19624960\"] \n  29 [size=\"47738880\", alpha=\"0.04\", expect_size=\"14321664\"] \n  29 -> 34 [size =\"14321664\"]\n  29 -> 35 [size =\"14321664\"]\n  29 -> 38 [size =\"14321664\"]\n  30 [size=\"96815787\", alpha=\"0.01\", expect_size=\"29044736\"] \n  30 -> 37 [size =\"29044736\"]\n  31 [size=\"108711253\", alpha=\"0.01\", expect_size=\"32613376\"] \n  31 -> 34 [size =\"32613376\"]\n  31 -> 35 [size =\"32613376\"]\n  31 -> 38 [size =\"32613376\"]\n  32 [size=\"74608640\", alpha=\"0.16\", expect_size=\"22382592\"] \n  32 -> 34 [size =\"22382592\"]\n  32 -> 35 [size =\"22382592\"]\n  32 -> 36 [size =\"22382592\"]\n  33 [size=\"60706133\", alpha=\"0.15\", expect_size=\"18211840\"] \n  33 -> 39 [size =\"18211840\"]\n  34 [size=\"162969600\", alpha=\"0.10\", expect_size=\"48890880\"] \n  34 -> 40 [size =\"48890880\"]\n  35 [size=\"155211093\", alpha=\"0.19\", expect_size=\"46563328\"] \n  35 -> 40 [size =\"46563328\"]\n  36 [size=\"165181440\", alpha=\"0.04\", expect_size=\"49554432\"] \n  37 [size=\"102068907\", alpha=\"0.15\", expect_size=\"30620672\"] \n  38 [size=\"23142400\", alpha=\"0.20\", expect_size=\"6942720\"] \n  39 [size=\"148381013\", alpha=\"0.05\", expect_size=\"44514304\"] \n  40 [size=\"22364160\", alpha=\"0.17\", expect_size=\"6709248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18897920\", alpha=\"0.09\", expect_size=\"7559168\"] \n  1 -> 3 [size =\"7559168\"]\n  2 [size=\"112473600\", alpha=\"0.03\", expect_size=\"44989440\"] \n  3 [size=\"107233280\", alpha=\"0.06\", expect_size=\"42893312\"] \n  3 -> 4 [size =\"42893312\"]\n  3 -> 5 [size =\"42893312\"]\n  3 -> 6 [size =\"42893312\"]\n  4 [size=\"127073280\", alpha=\"0.01\", expect_size=\"50829312\"] \n  4 -> 8 [size =\"50829312\"]\n  5 [size=\"101603840\", alpha=\"0.01\", expect_size=\"40641536\"] \n  5 -> 7 [size =\"40641536\"]\n  5 -> 9 [size =\"40641536\"]\n  6 [size=\"45478400\", alpha=\"0.15\", expect_size=\"18191360\"] \n  6 -> 7 [size =\"18191360\"]\n  6 -> 8 [size =\"18191360\"]\n  7 [size=\"78740480\", alpha=\"0.02\", expect_size=\"31496192\"] \n  7 -> 12 [size =\"31496192\"]\n  8 [size=\"85370880\", alpha=\"0.04\", expect_size=\"34148352\"] \n  8 -> 10 [size =\"34148352\"]\n  9 [size=\"55411200\", alpha=\"0.14\", expect_size=\"22164480\"] \n  9 -> 11 [size =\"22164480\"]\n  10 [size=\"125593600\", alpha=\"0.15\", expect_size=\"50237440\"] \n  10 -> 13 [size =\"50237440\"]\n  10 -> 14 [size =\"50237440\"]\n  11 [size=\"18511360\", alpha=\"0.09\", expect_size=\"7404544\"] \n  12 [size=\"72678400\", alpha=\"0.08\", expect_size=\"29071360\"] \n  13 [size=\"92444160\", alpha=\"0.09\", expect_size=\"36977664\"] \n  13 -> 15 [size =\"36977664\"]\n  14 [size=\"126315520\", alpha=\"0.11\", expect_size=\"50526208\"] \n  14 -> 16 [size =\"50526208\"]\n  15 [size=\"129940480\", alpha=\"0.16\", expect_size=\"51976192\"] \n  15 -> 18 [size =\"51976192\"]\n  16 [size=\"19550720\", alpha=\"0.12\", expect_size=\"7820288\"] \n  16 -> 17 [size =\"7820288\"]\n  17 [size=\"108513280\", alpha=\"0.12\", expect_size=\"43405312\"] \n  18 [size=\"119920640\", alpha=\"0.09\", expect_size=\"47968256\"] \n  18 -> 19 [size =\"47968256\"]\n  19 [size=\"27494400\", alpha=\"0.02\", expect_size=\"10997760\"] \n  19 -> 20 [size =\"10997760\"]\n  19 -> 21 [size =\"10997760\"]\n  19 -> 22 [size =\"10997760\"]\n  20 [size=\"112680960\", alpha=\"0.08\", expect_size=\"45072384\"] \n  21 [size=\"80314880\", alpha=\"0.15\", expect_size=\"32125952\"] \n  21 -> 23 [size =\"32125952\"]\n  22 [size=\"17638400\", alpha=\"0.19\", expect_size=\"7055360\"] \n  23 [size=\"67560960\", alpha=\"0.19\", expect_size=\"27024384\"] \n  23 -> 24 [size =\"27024384\"]\n  23 -> 25 [size =\"27024384\"]\n  23 -> 26 [size =\"27024384\"]\n  24 [size=\"122887680\", alpha=\"0.18\", expect_size=\"49155072\"] \n  24 -> 29 [size =\"49155072\"]\n  25 [size=\"67307520\", alpha=\"0.12\", expect_size=\"26923008\"] \n  26 [size=\"42688000\", alpha=\"0.12\", expect_size=\"17075200\"] \n  26 -> 27 [size =\"17075200\"]\n  26 -> 28 [size =\"17075200\"]\n  26 -> 29 [size =\"17075200\"]\n  27 [size=\"113592320\", alpha=\"0.03\", expect_size=\"45436928\"] \n  27 -> 30 [size =\"45436928\"]\n  27 -> 31 [size =\"45436928\"]\n  28 [size=\"67379200\", alpha=\"0.06\", expect_size=\"26951680\"] \n  28 -> 31 [size =\"26951680\"]\n  28 -> 32 [size =\"26951680\"]\n  29 [size=\"119746560\", alpha=\"0.16\", expect_size=\"47898624\"] \n  29 -> 32 [size =\"47898624\"]\n  30 [size=\"130736640\", alpha=\"0.05\", expect_size=\"52294656\"] \n  30 -> 34 [size =\"52294656\"]\n  30 -> 35 [size =\"52294656\"]\n  31 [size=\"59545600\", alpha=\"0.15\", expect_size=\"23818240\"] \n  31 -> 33 [size =\"23818240\"]\n  32 [size=\"29926400\", alpha=\"0.16\", expect_size=\"11970560\"] \n  32 -> 34 [size =\"11970560\"]\n  32 -> 35 [size =\"11970560\"]\n  33 [size=\"23288320\", alpha=\"0.09\", expect_size=\"9315328\"] \n  33 -> 38 [size =\"9315328\"]\n  34 [size=\"15787520\", alpha=\"0.02\", expect_size=\"6315008\"] \n  35 [size=\"121392640\", alpha=\"0.15\", expect_size=\"48557056\"] \n  35 -> 36 [size =\"48557056\"]\n  35 -> 37 [size =\"48557056\"]\n  36 [size=\"74708480\", alpha=\"0.09\", expect_size=\"29883392\"] \n  37 [size=\"26073600\", alpha=\"0.19\", expect_size=\"10429440\"] \n  37 -> 39 [size =\"10429440\"]\n  38 [size=\"41121280\", alpha=\"0.07\", expect_size=\"16448512\"] \n  39 [size=\"74147840\", alpha=\"0.18\", expect_size=\"29659136\"] \n  39 -> 40 [size =\"29659136\"]\n  40 [size=\"49497600\", alpha=\"0.05\", expect_size=\"19799040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50853888\", alpha=\"0.20\", expect_size=\"25426944\"] \n  1 -> 12 [size =\"25426944\"]\n  1 -> 13 [size =\"25426944\"]\n  1 -> 14 [size =\"25426944\"]\n  2 [size=\"22999040\", alpha=\"0.02\", expect_size=\"11499520\"] \n  2 -> 8 [size =\"11499520\"]\n  2 -> 11 [size =\"11499520\"]\n  2 -> 12 [size =\"11499520\"]\n  2 -> 14 [size =\"11499520\"]\n  3 [size=\"20058112\", alpha=\"0.11\", expect_size=\"10029056\"] \n  3 -> 8 [size =\"10029056\"]\n  3 -> 11 [size =\"10029056\"]\n  3 -> 13 [size =\"10029056\"]\n  4 [size=\"44177408\", alpha=\"0.18\", expect_size=\"22088704\"] \n  4 -> 8 [size =\"22088704\"]\n  4 -> 11 [size =\"22088704\"]\n  4 -> 14 [size =\"22088704\"]\n  5 [size=\"62826496\", alpha=\"0.19\", expect_size=\"31413248\"] \n  5 -> 11 [size =\"31413248\"]\n  5 -> 13 [size =\"31413248\"]\n  6 [size=\"90236928\", alpha=\"0.05\", expect_size=\"45118464\"] \n  6 -> 9 [size =\"45118464\"]\n  6 -> 12 [size =\"45118464\"]\n  7 [size=\"103518208\", alpha=\"0.07\", expect_size=\"51759104\"] \n  7 -> 10 [size =\"51759104\"]\n  7 -> 12 [size =\"51759104\"]\n  7 -> 14 [size =\"51759104\"]\n  8 [size=\"78616576\", alpha=\"0.09\", expect_size=\"39308288\"] \n  8 -> 16 [size =\"39308288\"]\n  8 -> 17 [size =\"39308288\"]\n  8 -> 18 [size =\"39308288\"]\n  9 [size=\"70514688\", alpha=\"0.12\", expect_size=\"35257344\"] \n  9 -> 17 [size =\"35257344\"]\n  9 -> 18 [size =\"35257344\"]\n  10 [size=\"40439808\", alpha=\"0.06\", expect_size=\"20219904\"] \n  10 -> 17 [size =\"20219904\"]\n  10 -> 18 [size =\"20219904\"]\n  11 [size=\"32139264\", alpha=\"0.09\", expect_size=\"16069632\"] \n  11 -> 17 [size =\"16069632\"]\n  11 -> 18 [size =\"16069632\"]\n  12 [size=\"31117312\", alpha=\"0.11\", expect_size=\"15558656\"] \n  12 -> 15 [size =\"15558656\"]\n  12 -> 18 [size =\"15558656\"]\n  13 [size=\"41119744\", alpha=\"0.02\", expect_size=\"20559872\"] \n  14 [size=\"94115840\", alpha=\"0.04\", expect_size=\"47057920\"] \n  14 -> 17 [size =\"47057920\"]\n  15 [size=\"86745088\", alpha=\"0.16\", expect_size=\"43372544\"] \n  15 -> 21 [size =\"43372544\"]\n  15 -> 23 [size =\"43372544\"]\n  15 -> 23 [size =\"43372544\"]\n  15 -> 24 [size =\"43372544\"]\n  16 [size=\"80621568\", alpha=\"0.14\", expect_size=\"40310784\"] \n  16 -> 19 [size =\"40310784\"]\n  16 -> 20 [size =\"40310784\"]\n  16 -> 21 [size =\"40310784\"]\n  16 -> 22 [size =\"40310784\"]\n  17 [size=\"103188480\", alpha=\"0.08\", expect_size=\"51594240\"] \n  17 -> 19 [size =\"51594240\"]\n  17 -> 22 [size =\"51594240\"]\n  17 -> 24 [size =\"51594240\"]\n  18 [size=\"40572928\", alpha=\"0.11\", expect_size=\"20286464\"] \n  18 -> 19 [size =\"20286464\"]\n  18 -> 20 [size =\"20286464\"]\n  18 -> 23 [size =\"20286464\"]\n  18 -> 24 [size =\"20286464\"]\n  19 [size=\"83857408\", alpha=\"0.11\", expect_size=\"41928704\"] \n  19 -> 26 [size =\"41928704\"]\n  19 -> 29 [size =\"41928704\"]\n  20 [size=\"44675072\", alpha=\"0.02\", expect_size=\"22337536\"] \n  20 -> 26 [size =\"22337536\"]\n  21 [size=\"73416704\", alpha=\"0.02\", expect_size=\"36708352\"] \n  21 -> 25 [size =\"36708352\"]\n  21 -> 26 [size =\"36708352\"]\n  21 -> 29 [size =\"36708352\"]\n  22 [size=\"23154688\", alpha=\"0.04\", expect_size=\"11577344\"] \n  22 -> 27 [size =\"11577344\"]\n  23 [size=\"73390080\", alpha=\"0.09\", expect_size=\"36695040\"] \n  23 -> 28 [size =\"36695040\"]\n  23 -> 30 [size =\"36695040\"]\n  24 [size=\"83277824\", alpha=\"0.00\", expect_size=\"41638912\"] \n  24 -> 30 [size =\"41638912\"]\n  25 [size=\"103944192\", alpha=\"0.03\", expect_size=\"51972096\"] \n  25 -> 32 [size =\"51972096\"]\n  25 -> 34 [size =\"51972096\"]\n  25 -> 35 [size =\"51972096\"]\n  26 [size=\"86501376\", alpha=\"0.02\", expect_size=\"43250688\"] \n  26 -> 31 [size =\"43250688\"]\n  26 -> 32 [size =\"43250688\"]\n  26 -> 34 [size =\"43250688\"]\n  27 [size=\"59680768\", alpha=\"0.01\", expect_size=\"29840384\"] \n  27 -> 32 [size =\"29840384\"]\n  27 -> 33 [size =\"29840384\"]\n  27 -> 34 [size =\"29840384\"]\n  27 -> 36 [size =\"29840384\"]\n  28 [size=\"98508800\", alpha=\"0.15\", expect_size=\"49254400\"] \n  28 -> 31 [size =\"49254400\"]\n  28 -> 33 [size =\"49254400\"]\n  29 [size=\"56657920\", alpha=\"0.01\", expect_size=\"28328960\"] \n  29 -> 31 [size =\"28328960\"]\n  29 -> 32 [size =\"28328960\"]\n  29 -> 35 [size =\"28328960\"]\n  30 [size=\"14970880\", alpha=\"0.14\", expect_size=\"7485440\"] \n  30 -> 33 [size =\"7485440\"]\n  30 -> 34 [size =\"7485440\"]\n  30 -> 36 [size =\"7485440\"]\n  31 [size=\"25745408\", alpha=\"0.11\", expect_size=\"12872704\"] \n  31 -> 38 [size =\"12872704\"]\n  31 -> 40 [size =\"12872704\"]\n  32 [size=\"34977792\", alpha=\"0.13\", expect_size=\"17488896\"] \n  32 -> 39 [size =\"17488896\"]\n  33 [size=\"55183360\", alpha=\"0.01\", expect_size=\"27591680\"] \n  33 -> 37 [size =\"27591680\"]\n  34 [size=\"95936512\", alpha=\"0.07\", expect_size=\"47968256\"] \n  34 -> 38 [size =\"47968256\"]\n  34 -> 39 [size =\"47968256\"]\n  35 [size=\"96559104\", alpha=\"0.09\", expect_size=\"48279552\"] \n  35 -> 39 [size =\"48279552\"]\n  35 -> 40 [size =\"48279552\"]\n  36 [size=\"15017984\", alpha=\"0.06\", expect_size=\"7508992\"] \n  36 -> 37 [size =\"7508992\"]\n  36 -> 39 [size =\"7508992\"]\n  37 [size=\"25440256\", alpha=\"0.03\", expect_size=\"12720128\"] \n  38 [size=\"32114688\", alpha=\"0.06\", expect_size=\"16057344\"] \n  39 [size=\"103174144\", alpha=\"0.04\", expect_size=\"51587072\"] \n  40 [size=\"15527936\", alpha=\"0.10\", expect_size=\"7763968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113387520\", alpha=\"0.05\", expect_size=\"34016256\"] \n  2 [size=\"32873813\", alpha=\"0.05\", expect_size=\"9862144\"] \n  2 -> 5 [size =\"9862144\"]\n  3 [size=\"145425067\", alpha=\"0.12\", expect_size=\"43627520\"] \n  3 -> 4 [size =\"43627520\"]\n  3 -> 5 [size =\"43627520\"]\n  4 [size=\"114851840\", alpha=\"0.17\", expect_size=\"34455552\"] \n  4 -> 6 [size =\"34455552\"]\n  5 [size=\"21589333\", alpha=\"0.02\", expect_size=\"6476800\"] \n  5 -> 7 [size =\"6476800\"]\n  6 [size=\"26760533\", alpha=\"0.12\", expect_size=\"8028160\"] \n  6 -> 10 [size =\"8028160\"]\n  7 [size=\"67949227\", alpha=\"0.16\", expect_size=\"20384768\"] \n  7 -> 8 [size =\"20384768\"]\n  7 -> 9 [size =\"20384768\"]\n  8 [size=\"139045547\", alpha=\"0.01\", expect_size=\"41713664\"] \n  8 -> 11 [size =\"41713664\"]\n  9 [size=\"156334080\", alpha=\"0.05\", expect_size=\"46900224\"] \n  10 [size=\"101246293\", alpha=\"0.13\", expect_size=\"30373888\"] \n  10 -> 12 [size =\"30373888\"]\n  11 [size=\"52971520\", alpha=\"0.16\", expect_size=\"15891456\"] \n  11 -> 13 [size =\"15891456\"]\n  11 -> 14 [size =\"15891456\"]\n  12 [size=\"91064320\", alpha=\"0.06\", expect_size=\"27319296\"] \n  12 -> 13 [size =\"27319296\"]\n  13 [size=\"129812480\", alpha=\"0.14\", expect_size=\"38943744\"] \n  13 -> 15 [size =\"38943744\"]\n  13 -> 16 [size =\"38943744\"]\n  13 -> 17 [size =\"38943744\"]\n  14 [size=\"64880640\", alpha=\"0.15\", expect_size=\"19464192\"] \n  14 -> 16 [size =\"19464192\"]\n  15 [size=\"37693440\", alpha=\"0.15\", expect_size=\"11308032\"] \n  15 -> 18 [size =\"11308032\"]\n  15 -> 19 [size =\"11308032\"]\n  16 [size=\"51674453\", alpha=\"0.11\", expect_size=\"15502336\"] \n  17 [size=\"143452160\", alpha=\"0.02\", expect_size=\"43035648\"] \n  17 -> 19 [size =\"43035648\"]\n  18 [size=\"108581547\", alpha=\"0.17\", expect_size=\"32574464\"] \n  18 -> 21 [size =\"32574464\"]\n  19 [size=\"118459733\", alpha=\"0.03\", expect_size=\"35537920\"] \n  19 -> 20 [size =\"35537920\"]\n  19 -> 21 [size =\"35537920\"]\n  20 [size=\"154501120\", alpha=\"0.19\", expect_size=\"46350336\"] \n  20 -> 23 [size =\"46350336\"]\n  21 [size=\"102703787\", alpha=\"0.07\", expect_size=\"30811136\"] \n  21 -> 22 [size =\"30811136\"]\n  22 [size=\"74123947\", alpha=\"0.17\", expect_size=\"22237184\"] \n  22 -> 24 [size =\"22237184\"]\n  23 [size=\"120852480\", alpha=\"0.03\", expect_size=\"36255744\"] \n  23 -> 25 [size =\"36255744\"]\n  24 [size=\"70567253\", alpha=\"0.01\", expect_size=\"21170176\"] \n  24 -> 26 [size =\"21170176\"]\n  24 -> 27 [size =\"21170176\"]\n  25 [size=\"27671893\", alpha=\"0.00\", expect_size=\"8301568\"] \n  25 -> 26 [size =\"8301568\"]\n  26 [size=\"146582187\", alpha=\"0.01\", expect_size=\"43974656\"] \n  27 [size=\"79250773\", alpha=\"0.07\", expect_size=\"23775232\"] \n  27 -> 28 [size =\"23775232\"]\n  27 -> 29 [size =\"23775232\"]\n  27 -> 30 [size =\"23775232\"]\n  28 [size=\"92805120\", alpha=\"0.10\", expect_size=\"27841536\"] \n  29 [size=\"66614613\", alpha=\"0.09\", expect_size=\"19984384\"] \n  29 -> 31 [size =\"19984384\"]\n  29 -> 32 [size =\"19984384\"]\n  30 [size=\"90671787\", alpha=\"0.20\", expect_size=\"27201536\"] \n  31 [size=\"81326080\", alpha=\"0.15\", expect_size=\"24397824\"] \n  32 [size=\"134502400\", alpha=\"0.19\", expect_size=\"40350720\"] \n  32 -> 33 [size =\"40350720\"]\n  32 -> 34 [size =\"40350720\"]\n  32 -> 35 [size =\"40350720\"]\n  33 [size=\"108305067\", alpha=\"0.18\", expect_size=\"32491520\"] \n  33 -> 37 [size =\"32491520\"]\n  34 [size=\"130686293\", alpha=\"0.02\", expect_size=\"39205888\"] \n  34 -> 36 [size =\"39205888\"]\n  34 -> 37 [size =\"39205888\"]\n  35 [size=\"141735253\", alpha=\"0.10\", expect_size=\"42520576\"] \n  36 [size=\"145575253\", alpha=\"0.01\", expect_size=\"43672576\"] \n  37 [size=\"151483733\", alpha=\"0.09\", expect_size=\"45445120\"] \n  37 -> 38 [size =\"45445120\"]\n  37 -> 39 [size =\"45445120\"]\n  38 [size=\"52657493\", alpha=\"0.08\", expect_size=\"15797248\"] \n  39 [size=\"127948800\", alpha=\"0.20\", expect_size=\"38384640\"] \n  39 -> 40 [size =\"38384640\"]\n  40 [size=\"44359680\", alpha=\"0.09\", expect_size=\"13307904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40568320\", alpha=\"0.08\", expect_size=\"16227328\"] \n  1 -> 18 [size =\"16227328\"]\n  1 -> 19 [size =\"16227328\"]\n  1 -> 22 [size =\"16227328\"]\n  1 -> 24 [size =\"16227328\"]\n  1 -> 25 [size =\"16227328\"]\n  1 -> 27 [size =\"16227328\"]\n  1 -> 29 [size =\"16227328\"]\n  1 -> 31 [size =\"16227328\"]\n  1 -> 33 [size =\"16227328\"]\n  1 -> 36 [size =\"16227328\"]\n  1 -> 38 [size =\"16227328\"]\n  1 -> 39 [size =\"16227328\"]\n  2 [size=\"32320000\", alpha=\"0.10\", expect_size=\"12928000\"] \n  2 -> 18 [size =\"12928000\"]\n  2 -> 19 [size =\"12928000\"]\n  2 -> 24 [size =\"12928000\"]\n  2 -> 24 [size =\"12928000\"]\n  2 -> 25 [size =\"12928000\"]\n  2 -> 27 [size =\"12928000\"]\n  2 -> 29 [size =\"12928000\"]\n  2 -> 31 [size =\"12928000\"]\n  2 -> 32 [size =\"12928000\"]\n  2 -> 33 [size =\"12928000\"]\n  2 -> 39 [size =\"12928000\"]\n  2 -> 39 [size =\"12928000\"]\n  3 [size=\"45591040\", alpha=\"0.03\", expect_size=\"18236416\"] \n  3 -> 18 [size =\"18236416\"]\n  3 -> 22 [size =\"18236416\"]\n  3 -> 24 [size =\"18236416\"]\n  3 -> 25 [size =\"18236416\"]\n  3 -> 25 [size =\"18236416\"]\n  3 -> 27 [size =\"18236416\"]\n  3 -> 31 [size =\"18236416\"]\n  3 -> 32 [size =\"18236416\"]\n  3 -> 35 [size =\"18236416\"]\n  3 -> 36 [size =\"18236416\"]\n  3 -> 37 [size =\"18236416\"]\n  3 -> 38 [size =\"18236416\"]\n  3 -> 39 [size =\"18236416\"]\n  4 [size=\"59148800\", alpha=\"0.04\", expect_size=\"23659520\"] \n  4 -> 18 [size =\"23659520\"]\n  4 -> 19 [size =\"23659520\"]\n  4 -> 21 [size =\"23659520\"]\n  4 -> 22 [size =\"23659520\"]\n  4 -> 24 [size =\"23659520\"]\n  4 -> 25 [size =\"23659520\"]\n  4 -> 27 [size =\"23659520\"]\n  4 -> 30 [size =\"23659520\"]\n  4 -> 31 [size =\"23659520\"]\n  4 -> 32 [size =\"23659520\"]\n  4 -> 34 [size =\"23659520\"]\n  4 -> 37 [size =\"23659520\"]\n  5 [size=\"19875840\", alpha=\"0.04\", expect_size=\"7950336\"] \n  5 -> 18 [size =\"7950336\"]\n  5 -> 20 [size =\"7950336\"]\n  5 -> 21 [size =\"7950336\"]\n  5 -> 22 [size =\"7950336\"]\n  5 -> 24 [size =\"7950336\"]\n  5 -> 29 [size =\"7950336\"]\n  5 -> 30 [size =\"7950336\"]\n  5 -> 32 [size =\"7950336\"]\n  5 -> 33 [size =\"7950336\"]\n  5 -> 34 [size =\"7950336\"]\n  5 -> 38 [size =\"7950336\"]\n  6 [size=\"89139200\", alpha=\"0.08\", expect_size=\"35655680\"] \n  6 -> 18 [size =\"35655680\"]\n  6 -> 21 [size =\"35655680\"]\n  6 -> 22 [size =\"35655680\"]\n  6 -> 23 [size =\"35655680\"]\n  6 -> 24 [size =\"35655680\"]\n  6 -> 27 [size =\"35655680\"]\n  6 -> 28 [size =\"35655680\"]\n  6 -> 29 [size =\"35655680\"]\n  6 -> 31 [size =\"35655680\"]\n  6 -> 32 [size =\"35655680\"]\n  6 -> 33 [size =\"35655680\"]\n  6 -> 34 [size =\"35655680\"]\n  6 -> 36 [size =\"35655680\"]\n  6 -> 38 [size =\"35655680\"]\n  6 -> 39 [size =\"35655680\"]\n  7 [size=\"41745920\", alpha=\"0.15\", expect_size=\"16698368\"] \n  7 -> 21 [size =\"16698368\"]\n  7 -> 22 [size =\"16698368\"]\n  7 -> 22 [size =\"16698368\"]\n  7 -> 23 [size =\"16698368\"]\n  7 -> 24 [size =\"16698368\"]\n  7 -> 28 [size =\"16698368\"]\n  7 -> 29 [size =\"16698368\"]\n  7 -> 31 [size =\"16698368\"]\n  7 -> 32 [size =\"16698368\"]\n  7 -> 32 [size =\"16698368\"]\n  7 -> 33 [size =\"16698368\"]\n  7 -> 34 [size =\"16698368\"]\n  7 -> 35 [size =\"16698368\"]\n  7 -> 36 [size =\"16698368\"]\n  7 -> 38 [size =\"16698368\"]\n  7 -> 39 [size =\"16698368\"]\n  7 -> 40 [size =\"16698368\"]\n  8 [size=\"30192640\", alpha=\"0.19\", expect_size=\"12077056\"] \n  8 -> 20 [size =\"12077056\"]\n  8 -> 21 [size =\"12077056\"]\n  8 -> 22 [size =\"12077056\"]\n  8 -> 23 [size =\"12077056\"]\n  8 -> 24 [size =\"12077056\"]\n  8 -> 27 [size =\"12077056\"]\n  8 -> 31 [size =\"12077056\"]\n  8 -> 32 [size =\"12077056\"]\n  8 -> 34 [size =\"12077056\"]\n  8 -> 35 [size =\"12077056\"]\n  8 -> 39 [size =\"12077056\"]\n  8 -> 40 [size =\"12077056\"]\n  9 [size=\"26944000\", alpha=\"0.18\", expect_size=\"10777600\"] \n  9 -> 18 [size =\"10777600\"]\n  9 -> 20 [size =\"10777600\"]\n  9 -> 23 [size =\"10777600\"]\n  9 -> 23 [size =\"10777600\"]\n  9 -> 24 [size =\"10777600\"]\n  9 -> 27 [size =\"10777600\"]\n  9 -> 31 [size =\"10777600\"]\n  9 -> 32 [size =\"10777600\"]\n  9 -> 33 [size =\"10777600\"]\n  9 -> 35 [size =\"10777600\"]\n  9 -> 39 [size =\"10777600\"]\n  9 -> 40 [size =\"10777600\"]\n  10 [size=\"45555200\", alpha=\"0.01\", expect_size=\"18222080\"] \n  10 -> 19 [size =\"18222080\"]\n  10 -> 21 [size =\"18222080\"]\n  10 -> 22 [size =\"18222080\"]\n  10 -> 23 [size =\"18222080\"]\n  10 -> 24 [size =\"18222080\"]\n  10 -> 25 [size =\"18222080\"]\n  10 -> 29 [size =\"18222080\"]\n  10 -> 30 [size =\"18222080\"]\n  10 -> 33 [size =\"18222080\"]\n  10 -> 34 [size =\"18222080\"]\n  10 -> 36 [size =\"18222080\"]\n  10 -> 39 [size =\"18222080\"]\n  11 [size=\"126138880\", alpha=\"0.07\", expect_size=\"50455552\"] \n  11 -> 18 [size =\"50455552\"]\n  11 -> 22 [size =\"50455552\"]\n  11 -> 23 [size =\"50455552\"]\n  11 -> 25 [size =\"50455552\"]\n  11 -> 27 [size =\"50455552\"]\n  11 -> 29 [size =\"50455552\"]\n  11 -> 32 [size =\"50455552\"]\n  11 -> 33 [size =\"50455552\"]\n  11 -> 33 [size =\"50455552\"]\n  11 -> 35 [size =\"50455552\"]\n  11 -> 36 [size =\"50455552\"]\n  11 -> 37 [size =\"50455552\"]\n  11 -> 38 [size =\"50455552\"]\n  11 -> 39 [size =\"50455552\"]\n  12 [size=\"58037760\", alpha=\"0.10\", expect_size=\"23215104\"] \n  12 -> 18 [size =\"23215104\"]\n  12 -> 21 [size =\"23215104\"]\n  12 -> 22 [size =\"23215104\"]\n  12 -> 23 [size =\"23215104\"]\n  12 -> 25 [size =\"23215104\"]\n  12 -> 27 [size =\"23215104\"]\n  12 -> 28 [size =\"23215104\"]\n  12 -> 29 [size =\"23215104\"]\n  12 -> 31 [size =\"23215104\"]\n  12 -> 33 [size =\"23215104\"]\n  12 -> 35 [size =\"23215104\"]\n  12 -> 39 [size =\"23215104\"]\n  12 -> 40 [size =\"23215104\"]\n  13 [size=\"119208960\", alpha=\"0.13\", expect_size=\"47683584\"] \n  13 -> 18 [size =\"47683584\"]\n  13 -> 22 [size =\"47683584\"]\n  13 -> 25 [size =\"47683584\"]\n  13 -> 27 [size =\"47683584\"]\n  13 -> 29 [size =\"47683584\"]\n  13 -> 30 [size =\"47683584\"]\n  13 -> 32 [size =\"47683584\"]\n  13 -> 33 [size =\"47683584\"]\n  13 -> 35 [size =\"47683584\"]\n  13 -> 36 [size =\"47683584\"]\n  13 -> 39 [size =\"47683584\"]\n  14 [size=\"19246080\", alpha=\"0.02\", expect_size=\"7698432\"] \n  14 -> 21 [size =\"7698432\"]\n  14 -> 22 [size =\"7698432\"]\n  14 -> 24 [size =\"7698432\"]\n  14 -> 25 [size =\"7698432\"]\n  14 -> 27 [size =\"7698432\"]\n  14 -> 28 [size =\"7698432\"]\n  14 -> 29 [size =\"7698432\"]\n  14 -> 30 [size =\"7698432\"]\n  14 -> 31 [size =\"7698432\"]\n  14 -> 32 [size =\"7698432\"]\n  14 -> 33 [size =\"7698432\"]\n  14 -> 35 [size =\"7698432\"]\n  14 -> 36 [size =\"7698432\"]\n  14 -> 38 [size =\"7698432\"]\n  15 [size=\"43609600\", alpha=\"0.01\", expect_size=\"17443840\"] \n  15 -> 18 [size =\"17443840\"]\n  15 -> 20 [size =\"17443840\"]\n  15 -> 21 [size =\"17443840\"]\n  15 -> 22 [size =\"17443840\"]\n  15 -> 25 [size =\"17443840\"]\n  15 -> 27 [size =\"17443840\"]\n  15 -> 28 [size =\"17443840\"]\n  15 -> 29 [size =\"17443840\"]\n  15 -> 31 [size =\"17443840\"]\n  15 -> 35 [size =\"17443840\"]\n  15 -> 36 [size =\"17443840\"]\n  15 -> 37 [size =\"17443840\"]\n  15 -> 38 [size =\"17443840\"]\n  16 [size=\"69844480\", alpha=\"0.18\", expect_size=\"27937792\"] \n  16 -> 20 [size =\"27937792\"]\n  16 -> 21 [size =\"27937792\"]\n  16 -> 24 [size =\"27937792\"]\n  16 -> 25 [size =\"27937792\"]\n  16 -> 26 [size =\"27937792\"]\n  16 -> 27 [size =\"27937792\"]\n  16 -> 29 [size =\"27937792\"]\n  16 -> 29 [size =\"27937792\"]\n  16 -> 31 [size =\"27937792\"]\n  16 -> 33 [size =\"27937792\"]\n  16 -> 34 [size =\"27937792\"]\n  16 -> 35 [size =\"27937792\"]\n  16 -> 36 [size =\"27937792\"]\n  16 -> 37 [size =\"27937792\"]\n  16 -> 39 [size =\"27937792\"]\n  16 -> 40 [size =\"27937792\"]\n  17 [size=\"114826240\", alpha=\"0.19\", expect_size=\"45930496\"] \n  17 -> 19 [size =\"45930496\"]\n  17 -> 22 [size =\"45930496\"]\n  17 -> 24 [size =\"45930496\"]\n  17 -> 25 [size =\"45930496\"]\n  17 -> 27 [size =\"45930496\"]\n  17 -> 29 [size =\"45930496\"]\n  17 -> 29 [size =\"45930496\"]\n  17 -> 33 [size =\"45930496\"]\n  17 -> 34 [size =\"45930496\"]\n  17 -> 36 [size =\"45930496\"]\n  17 -> 39 [size =\"45930496\"]\n  18 [size=\"85903360\", alpha=\"0.03\", expect_size=\"34361344\"] \n  19 [size=\"79989760\", alpha=\"0.08\", expect_size=\"31995904\"] \n  20 [size=\"69857280\", alpha=\"0.12\", expect_size=\"27942912\"] \n  21 [size=\"75407360\", alpha=\"0.00\", expect_size=\"30162944\"] \n  22 [size=\"119175680\", alpha=\"0.12\", expect_size=\"47670272\"] \n  23 [size=\"61150720\", alpha=\"0.10\", expect_size=\"24460288\"] \n  24 [size=\"22251520\", alpha=\"0.15\", expect_size=\"8900608\"] \n  25 [size=\"32061440\", alpha=\"0.01\", expect_size=\"12824576\"] \n  26 [size=\"40212480\", alpha=\"0.01\", expect_size=\"16084992\"] \n  27 [size=\"26470400\", alpha=\"0.05\", expect_size=\"10588160\"] \n  28 [size=\"18713600\", alpha=\"0.12\", expect_size=\"7485440\"] \n  29 [size=\"35330560\", alpha=\"0.01\", expect_size=\"14132224\"] \n  30 [size=\"79918080\", alpha=\"0.16\", expect_size=\"31967232\"] \n  31 [size=\"30323200\", alpha=\"0.10\", expect_size=\"12129280\"] \n  32 [size=\"31971840\", alpha=\"0.12\", expect_size=\"12788736\"] \n  33 [size=\"104084480\", alpha=\"0.12\", expect_size=\"41633792\"] \n  34 [size=\"43210240\", alpha=\"0.12\", expect_size=\"17284096\"] \n  35 [size=\"13360640\", alpha=\"0.18\", expect_size=\"5344256\"] \n  36 [size=\"21306880\", alpha=\"0.14\", expect_size=\"8522752\"] \n  37 [size=\"25116160\", alpha=\"0.06\", expect_size=\"10046464\"] \n  38 [size=\"53422080\", alpha=\"0.11\", expect_size=\"21368832\"] \n  39 [size=\"123317760\", alpha=\"0.08\", expect_size=\"49327104\"] \n  40 [size=\"130672640\", alpha=\"0.14\", expect_size=\"52269056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89507840\", alpha=\"0.16\", expect_size=\"44753920\"] \n  1 -> 26 [size =\"44753920\"]\n  1 -> 27 [size =\"44753920\"]\n  1 -> 29 [size =\"44753920\"]\n  1 -> 30 [size =\"44753920\"]\n  1 -> 39 [size =\"44753920\"]\n  2 [size=\"67473408\", alpha=\"0.02\", expect_size=\"33736704\"] \n  2 -> 25 [size =\"33736704\"]\n  2 -> 26 [size =\"33736704\"]\n  2 -> 27 [size =\"33736704\"]\n  2 -> 31 [size =\"33736704\"]\n  3 [size=\"46901248\", alpha=\"0.13\", expect_size=\"23450624\"] \n  3 -> 25 [size =\"23450624\"]\n  3 -> 26 [size =\"23450624\"]\n  3 -> 29 [size =\"23450624\"]\n  3 -> 32 [size =\"23450624\"]\n  3 -> 36 [size =\"23450624\"]\n  3 -> 37 [size =\"23450624\"]\n  3 -> 38 [size =\"23450624\"]\n  4 [size=\"77854720\", alpha=\"0.06\", expect_size=\"38927360\"] \n  4 -> 25 [size =\"38927360\"]\n  4 -> 28 [size =\"38927360\"]\n  4 -> 32 [size =\"38927360\"]\n  4 -> 34 [size =\"38927360\"]\n  4 -> 36 [size =\"38927360\"]\n  4 -> 37 [size =\"38927360\"]\n  4 -> 40 [size =\"38927360\"]\n  5 [size=\"14325760\", alpha=\"0.12\", expect_size=\"7162880\"] \n  5 -> 26 [size =\"7162880\"]\n  5 -> 30 [size =\"7162880\"]\n  5 -> 37 [size =\"7162880\"]\n  5 -> 40 [size =\"7162880\"]\n  6 [size=\"26871808\", alpha=\"0.14\", expect_size=\"13435904\"] \n  6 -> 25 [size =\"13435904\"]\n  6 -> 27 [size =\"13435904\"]\n  6 -> 28 [size =\"13435904\"]\n  6 -> 29 [size =\"13435904\"]\n  6 -> 30 [size =\"13435904\"]\n  6 -> 32 [size =\"13435904\"]\n  6 -> 34 [size =\"13435904\"]\n  6 -> 39 [size =\"13435904\"]\n  7 [size=\"47165440\", alpha=\"0.03\", expect_size=\"23582720\"] \n  7 -> 29 [size =\"23582720\"]\n  7 -> 32 [size =\"23582720\"]\n  7 -> 34 [size =\"23582720\"]\n  7 -> 36 [size =\"23582720\"]\n  7 -> 40 [size =\"23582720\"]\n  8 [size=\"94384128\", alpha=\"0.18\", expect_size=\"47192064\"] \n  8 -> 26 [size =\"47192064\"]\n  8 -> 28 [size =\"47192064\"]\n  8 -> 30 [size =\"47192064\"]\n  8 -> 34 [size =\"47192064\"]\n  8 -> 35 [size =\"47192064\"]\n  8 -> 36 [size =\"47192064\"]\n  8 -> 37 [size =\"47192064\"]\n  8 -> 40 [size =\"47192064\"]\n  9 [size=\"14235648\", alpha=\"0.12\", expect_size=\"7117824\"] \n  9 -> 25 [size =\"7117824\"]\n  9 -> 28 [size =\"7117824\"]\n  9 -> 32 [size =\"7117824\"]\n  9 -> 37 [size =\"7117824\"]\n  9 -> 40 [size =\"7117824\"]\n  10 [size=\"96059392\", alpha=\"0.19\", expect_size=\"48029696\"] \n  10 -> 28 [size =\"48029696\"]\n  10 -> 28 [size =\"48029696\"]\n  10 -> 31 [size =\"48029696\"]\n  10 -> 32 [size =\"48029696\"]\n  10 -> 36 [size =\"48029696\"]\n  10 -> 40 [size =\"48029696\"]\n  11 [size=\"49874944\", alpha=\"0.18\", expect_size=\"24937472\"] \n  11 -> 28 [size =\"24937472\"]\n  11 -> 29 [size =\"24937472\"]\n  11 -> 30 [size =\"24937472\"]\n  11 -> 33 [size =\"24937472\"]\n  11 -> 34 [size =\"24937472\"]\n  11 -> 36 [size =\"24937472\"]\n  11 -> 37 [size =\"24937472\"]\n  11 -> 38 [size =\"24937472\"]\n  12 [size=\"30273536\", alpha=\"0.05\", expect_size=\"15136768\"] \n  12 -> 28 [size =\"15136768\"]\n  12 -> 29 [size =\"15136768\"]\n  12 -> 38 [size =\"15136768\"]\n  13 [size=\"40687616\", alpha=\"0.12\", expect_size=\"20343808\"] \n  13 -> 26 [size =\"20343808\"]\n  13 -> 29 [size =\"20343808\"]\n  13 -> 30 [size =\"20343808\"]\n  13 -> 34 [size =\"20343808\"]\n  13 -> 38 [size =\"20343808\"]\n  13 -> 40 [size =\"20343808\"]\n  14 [size=\"104245248\", alpha=\"0.06\", expect_size=\"52122624\"] \n  14 -> 25 [size =\"52122624\"]\n  14 -> 26 [size =\"52122624\"]\n  14 -> 29 [size =\"52122624\"]\n  14 -> 37 [size =\"52122624\"]\n  14 -> 38 [size =\"52122624\"]\n  15 [size=\"39333888\", alpha=\"0.14\", expect_size=\"19666944\"] \n  15 -> 25 [size =\"19666944\"]\n  15 -> 29 [size =\"19666944\"]\n  15 -> 29 [size =\"19666944\"]\n  15 -> 35 [size =\"19666944\"]\n  16 [size=\"94810112\", alpha=\"0.18\", expect_size=\"47405056\"] \n  16 -> 25 [size =\"47405056\"]\n  16 -> 27 [size =\"47405056\"]\n  16 -> 28 [size =\"47405056\"]\n  16 -> 32 [size =\"47405056\"]\n  16 -> 34 [size =\"47405056\"]\n  16 -> 35 [size =\"47405056\"]\n  16 -> 36 [size =\"47405056\"]\n  16 -> 37 [size =\"47405056\"]\n  17 [size=\"67184640\", alpha=\"0.01\", expect_size=\"33592320\"] \n  17 -> 26 [size =\"33592320\"]\n  17 -> 27 [size =\"33592320\"]\n  17 -> 30 [size =\"33592320\"]\n  17 -> 31 [size =\"33592320\"]\n  17 -> 34 [size =\"33592320\"]\n  17 -> 35 [size =\"33592320\"]\n  17 -> 37 [size =\"33592320\"]\n  17 -> 40 [size =\"33592320\"]\n  18 [size=\"82536448\", alpha=\"0.15\", expect_size=\"41268224\"] \n  18 -> 27 [size =\"41268224\"]\n  18 -> 27 [size =\"41268224\"]\n  18 -> 30 [size =\"41268224\"]\n  18 -> 34 [size =\"41268224\"]\n  19 [size=\"74088448\", alpha=\"0.07\", expect_size=\"37044224\"] \n  19 -> 27 [size =\"37044224\"]\n  19 -> 31 [size =\"37044224\"]\n  20 [size=\"36413440\", alpha=\"0.06\", expect_size=\"18206720\"] \n  20 -> 27 [size =\"18206720\"]\n  20 -> 29 [size =\"18206720\"]\n  20 -> 30 [size =\"18206720\"]\n  20 -> 34 [size =\"18206720\"]\n  20 -> 40 [size =\"18206720\"]\n  21 [size=\"31674368\", alpha=\"0.01\", expect_size=\"15837184\"] \n  21 -> 27 [size =\"15837184\"]\n  21 -> 32 [size =\"15837184\"]\n  21 -> 37 [size =\"15837184\"]\n  21 -> 38 [size =\"15837184\"]\n  22 [size=\"23461888\", alpha=\"0.08\", expect_size=\"11730944\"] \n  22 -> 26 [size =\"11730944\"]\n  22 -> 27 [size =\"11730944\"]\n  22 -> 30 [size =\"11730944\"]\n  22 -> 32 [size =\"11730944\"]\n  23 [size=\"49012736\", alpha=\"0.03\", expect_size=\"24506368\"] \n  23 -> 26 [size =\"24506368\"]\n  23 -> 29 [size =\"24506368\"]\n  23 -> 30 [size =\"24506368\"]\n  23 -> 32 [size =\"24506368\"]\n  23 -> 33 [size =\"24506368\"]\n  23 -> 34 [size =\"24506368\"]\n  23 -> 40 [size =\"24506368\"]\n  24 [size=\"11304960\", alpha=\"0.13\", expect_size=\"5652480\"] \n  24 -> 25 [size =\"5652480\"]\n  24 -> 27 [size =\"5652480\"]\n  24 -> 30 [size =\"5652480\"]\n  24 -> 32 [size =\"5652480\"]\n  24 -> 35 [size =\"5652480\"]\n  24 -> 36 [size =\"5652480\"]\n  24 -> 37 [size =\"5652480\"]\n  24 -> 39 [size =\"5652480\"]\n  25 [size=\"40910848\", alpha=\"0.03\", expect_size=\"20455424\"] \n  26 [size=\"14116864\", alpha=\"0.17\", expect_size=\"7058432\"] \n  27 [size=\"100337664\", alpha=\"0.18\", expect_size=\"50168832\"] \n  28 [size=\"12464128\", alpha=\"0.17\", expect_size=\"6232064\"] \n  29 [size=\"81367040\", alpha=\"0.17\", expect_size=\"40683520\"] \n  30 [size=\"20299776\", alpha=\"0.15\", expect_size=\"10149888\"] \n  31 [size=\"46778368\", alpha=\"0.02\", expect_size=\"23389184\"] \n  32 [size=\"51083264\", alpha=\"0.13\", expect_size=\"25541632\"] \n  33 [size=\"90204160\", alpha=\"0.10\", expect_size=\"45102080\"] \n  34 [size=\"11814912\", alpha=\"0.07\", expect_size=\"5907456\"] \n  35 [size=\"72026112\", alpha=\"0.10\", expect_size=\"36013056\"] \n  36 [size=\"85938176\", alpha=\"0.11\", expect_size=\"42969088\"] \n  37 [size=\"69939200\", alpha=\"0.04\", expect_size=\"34969600\"] \n  38 [size=\"60706816\", alpha=\"0.12\", expect_size=\"30353408\"] \n  39 [size=\"47769600\", alpha=\"0.14\", expect_size=\"23884800\"] \n  40 [size=\"34881536\", alpha=\"0.01\", expect_size=\"17440768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33378987\", alpha=\"0.11\", expect_size=\"10013696\"] \n  1 -> 22 [size =\"10013696\"]\n  1 -> 27 [size =\"10013696\"]\n  1 -> 29 [size =\"10013696\"]\n  1 -> 33 [size =\"10013696\"]\n  1 -> 34 [size =\"10013696\"]\n  2 [size=\"29593600\", alpha=\"0.20\", expect_size=\"8878080\"] \n  2 -> 16 [size =\"8878080\"]\n  2 -> 21 [size =\"8878080\"]\n  2 -> 23 [size =\"8878080\"]\n  2 -> 24 [size =\"8878080\"]\n  2 -> 26 [size =\"8878080\"]\n  2 -> 29 [size =\"8878080\"]\n  2 -> 34 [size =\"8878080\"]\n  2 -> 37 [size =\"8878080\"]\n  3 [size=\"174086827\", alpha=\"0.01\", expect_size=\"52226048\"] \n  3 -> 16 [size =\"52226048\"]\n  3 -> 21 [size =\"52226048\"]\n  3 -> 22 [size =\"52226048\"]\n  3 -> 23 [size =\"52226048\"]\n  3 -> 26 [size =\"52226048\"]\n  3 -> 28 [size =\"52226048\"]\n  3 -> 29 [size =\"52226048\"]\n  3 -> 33 [size =\"52226048\"]\n  3 -> 34 [size =\"52226048\"]\n  3 -> 35 [size =\"52226048\"]\n  3 -> 37 [size =\"52226048\"]\n  4 [size=\"19343360\", alpha=\"0.10\", expect_size=\"5803008\"] \n  4 -> 20 [size =\"5803008\"]\n  4 -> 23 [size =\"5803008\"]\n  4 -> 25 [size =\"5803008\"]\n  4 -> 26 [size =\"5803008\"]\n  4 -> 28 [size =\"5803008\"]\n  4 -> 29 [size =\"5803008\"]\n  4 -> 30 [size =\"5803008\"]\n  4 -> 32 [size =\"5803008\"]\n  4 -> 34 [size =\"5803008\"]\n  4 -> 36 [size =\"5803008\"]\n  5 [size=\"67307520\", alpha=\"0.04\", expect_size=\"20192256\"] \n  5 -> 16 [size =\"20192256\"]\n  5 -> 23 [size =\"20192256\"]\n  5 -> 26 [size =\"20192256\"]\n  5 -> 28 [size =\"20192256\"]\n  5 -> 31 [size =\"20192256\"]\n  5 -> 36 [size =\"20192256\"]\n  6 [size=\"108414293\", alpha=\"0.11\", expect_size=\"32524288\"] \n  6 -> 16 [size =\"32524288\"]\n  6 -> 17 [size =\"32524288\"]\n  6 -> 19 [size =\"32524288\"]\n  6 -> 23 [size =\"32524288\"]\n  6 -> 26 [size =\"32524288\"]\n  6 -> 31 [size =\"32524288\"]\n  6 -> 32 [size =\"32524288\"]\n  6 -> 33 [size =\"32524288\"]\n  7 [size=\"136502613\", alpha=\"0.02\", expect_size=\"40950784\"] \n  7 -> 16 [size =\"40950784\"]\n  7 -> 22 [size =\"40950784\"]\n  7 -> 23 [size =\"40950784\"]\n  7 -> 26 [size =\"40950784\"]\n  7 -> 29 [size =\"40950784\"]\n  7 -> 31 [size =\"40950784\"]\n  7 -> 32 [size =\"40950784\"]\n  7 -> 34 [size =\"40950784\"]\n  8 [size=\"113735680\", alpha=\"0.19\", expect_size=\"34120704\"] \n  8 -> 16 [size =\"34120704\"]\n  8 -> 20 [size =\"34120704\"]\n  8 -> 22 [size =\"34120704\"]\n  8 -> 31 [size =\"34120704\"]\n  8 -> 32 [size =\"34120704\"]\n  9 [size=\"96679253\", alpha=\"0.00\", expect_size=\"29003776\"] \n  9 -> 16 [size =\"29003776\"]\n  9 -> 20 [size =\"29003776\"]\n  9 -> 22 [size =\"29003776\"]\n  9 -> 29 [size =\"29003776\"]\n  9 -> 31 [size =\"29003776\"]\n  9 -> 33 [size =\"29003776\"]\n  10 [size=\"40635733\", alpha=\"0.07\", expect_size=\"12190720\"] \n  10 -> 16 [size =\"12190720\"]\n  10 -> 22 [size =\"12190720\"]\n  10 -> 28 [size =\"12190720\"]\n  10 -> 29 [size =\"12190720\"]\n  10 -> 31 [size =\"12190720\"]\n  10 -> 33 [size =\"12190720\"]\n  10 -> 34 [size =\"12190720\"]\n  11 [size=\"31177387\", alpha=\"0.10\", expect_size=\"9353216\"] \n  11 -> 16 [size =\"9353216\"]\n  11 -> 17 [size =\"9353216\"]\n  11 -> 20 [size =\"9353216\"]\n  11 -> 28 [size =\"9353216\"]\n  11 -> 30 [size =\"9353216\"]\n  11 -> 33 [size =\"9353216\"]\n  12 [size=\"116452693\", alpha=\"0.14\", expect_size=\"34935808\"] \n  12 -> 16 [size =\"34935808\"]\n  12 -> 17 [size =\"34935808\"]\n  12 -> 20 [size =\"34935808\"]\n  12 -> 21 [size =\"34935808\"]\n  12 -> 22 [size =\"34935808\"]\n  12 -> 23 [size =\"34935808\"]\n  12 -> 26 [size =\"34935808\"]\n  12 -> 29 [size =\"34935808\"]\n  12 -> 32 [size =\"34935808\"]\n  12 -> 33 [size =\"34935808\"]\n  12 -> 34 [size =\"34935808\"]\n  12 -> 35 [size =\"34935808\"]\n  12 -> 36 [size =\"34935808\"]\n  13 [size=\"115319467\", alpha=\"0.08\", expect_size=\"34595840\"] \n  13 -> 17 [size =\"34595840\"]\n  13 -> 18 [size =\"34595840\"]\n  13 -> 20 [size =\"34595840\"]\n  13 -> 21 [size =\"34595840\"]\n  13 -> 26 [size =\"34595840\"]\n  13 -> 29 [size =\"34595840\"]\n  13 -> 31 [size =\"34595840\"]\n  13 -> 33 [size =\"34595840\"]\n  13 -> 34 [size =\"34595840\"]\n  13 -> 35 [size =\"34595840\"]\n  13 -> 36 [size =\"34595840\"]\n  14 [size=\"120477013\", alpha=\"0.06\", expect_size=\"36143104\"] \n  14 -> 21 [size =\"36143104\"]\n  14 -> 23 [size =\"36143104\"]\n  14 -> 24 [size =\"36143104\"]\n  14 -> 26 [size =\"36143104\"]\n  14 -> 29 [size =\"36143104\"]\n  14 -> 30 [size =\"36143104\"]\n  14 -> 32 [size =\"36143104\"]\n  14 -> 33 [size =\"36143104\"]\n  14 -> 34 [size =\"36143104\"]\n  15 [size=\"44677120\", alpha=\"0.05\", expect_size=\"13403136\"] \n  15 -> 16 [size =\"13403136\"]\n  15 -> 21 [size =\"13403136\"]\n  15 -> 22 [size =\"13403136\"]\n  15 -> 23 [size =\"13403136\"]\n  15 -> 24 [size =\"13403136\"]\n  15 -> 25 [size =\"13403136\"]\n  15 -> 26 [size =\"13403136\"]\n  15 -> 28 [size =\"13403136\"]\n  15 -> 29 [size =\"13403136\"]\n  15 -> 30 [size =\"13403136\"]\n  15 -> 31 [size =\"13403136\"]\n  15 -> 34 [size =\"13403136\"]\n  15 -> 35 [size =\"13403136\"]\n  15 -> 37 [size =\"13403136\"]\n  16 [size=\"75376640\", alpha=\"0.06\", expect_size=\"22612992\"] \n  16 -> 40 [size =\"22612992\"]\n  16 -> 40 [size =\"22612992\"]\n  17 [size=\"157962240\", alpha=\"0.17\", expect_size=\"47388672\"] \n  17 -> 39 [size =\"47388672\"]\n  17 -> 40 [size =\"47388672\"]\n  18 [size=\"19756373\", alpha=\"0.14\", expect_size=\"5926912\"] \n  18 -> 39 [size =\"5926912\"]\n  19 [size=\"168775680\", alpha=\"0.19\", expect_size=\"50632704\"] \n  19 -> 39 [size =\"50632704\"]\n  20 [size=\"171984213\", alpha=\"0.06\", expect_size=\"51595264\"] \n  20 -> 39 [size =\"51595264\"]\n  21 [size=\"70464853\", alpha=\"0.15\", expect_size=\"21139456\"] \n  21 -> 39 [size =\"21139456\"]\n  21 -> 40 [size =\"21139456\"]\n  22 [size=\"150971733\", alpha=\"0.05\", expect_size=\"45291520\"] \n  22 -> 38 [size =\"45291520\"]\n  22 -> 39 [size =\"45291520\"]\n  23 [size=\"105147733\", alpha=\"0.16\", expect_size=\"31544320\"] \n  23 -> 38 [size =\"31544320\"]\n  23 -> 39 [size =\"31544320\"]\n  24 [size=\"167570773\", alpha=\"0.06\", expect_size=\"50271232\"] \n  24 -> 38 [size =\"50271232\"]\n  25 [size=\"58685440\", alpha=\"0.03\", expect_size=\"17605632\"] \n  25 -> 39 [size =\"17605632\"]\n  26 [size=\"98488320\", alpha=\"0.11\", expect_size=\"29546496\"] \n  26 -> 40 [size =\"29546496\"]\n  27 [size=\"142114133\", alpha=\"0.15\", expect_size=\"42634240\"] \n  27 -> 38 [size =\"42634240\"]\n  27 -> 39 [size =\"42634240\"]\n  27 -> 40 [size =\"42634240\"]\n  28 [size=\"116623360\", alpha=\"0.11\", expect_size=\"34987008\"] \n  28 -> 38 [size =\"34987008\"]\n  28 -> 39 [size =\"34987008\"]\n  29 [size=\"69116587\", alpha=\"0.17\", expect_size=\"20734976\"] \n  29 -> 38 [size =\"20734976\"]\n  29 -> 39 [size =\"20734976\"]\n  30 [size=\"64897707\", alpha=\"0.05\", expect_size=\"19469312\"] \n  31 [size=\"114005333\", alpha=\"0.16\", expect_size=\"34201600\"] \n  31 -> 39 [size =\"34201600\"]\n  32 [size=\"75052373\", alpha=\"0.19\", expect_size=\"22515712\"] \n  32 -> 39 [size =\"22515712\"]\n  33 [size=\"117449387\", alpha=\"0.15\", expect_size=\"35234816\"] \n  34 [size=\"83230720\", alpha=\"0.03\", expect_size=\"24969216\"] \n  35 [size=\"131549867\", alpha=\"0.15\", expect_size=\"39464960\"] \n  35 -> 40 [size =\"39464960\"]\n  36 [size=\"154958507\", alpha=\"0.15\", expect_size=\"46487552\"] \n  36 -> 40 [size =\"46487552\"]\n  37 [size=\"87101440\", alpha=\"0.12\", expect_size=\"26130432\"] \n  37 -> 39 [size =\"26130432\"]\n  37 -> 40 [size =\"26130432\"]\n  38 [size=\"47008427\", alpha=\"0.10\", expect_size=\"14102528\"] \n  39 [size=\"130945707\", alpha=\"0.07\", expect_size=\"39283712\"] \n  40 [size=\"103540053\", alpha=\"0.03\", expect_size=\"31062016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18181120\", alpha=\"0.00\", expect_size=\"7272448\"] \n  1 -> 36 [size =\"7272448\"]\n  2 [size=\"69862400\", alpha=\"0.16\", expect_size=\"27944960\"] \n  3 [size=\"83942400\", alpha=\"0.14\", expect_size=\"33576960\"] \n  3 -> 36 [size =\"33576960\"]\n  4 [size=\"54694400\", alpha=\"0.10\", expect_size=\"21877760\"] \n  4 -> 36 [size =\"21877760\"]\n  5 [size=\"71654400\", alpha=\"0.16\", expect_size=\"28661760\"] \n  5 -> 39 [size =\"28661760\"]\n  6 [size=\"97763840\", alpha=\"0.17\", expect_size=\"39105536\"] \n  6 -> 35 [size =\"39105536\"]\n  6 -> 37 [size =\"39105536\"]\n  6 -> 40 [size =\"39105536\"]\n  7 [size=\"91246080\", alpha=\"0.19\", expect_size=\"36498432\"] \n  7 -> 35 [size =\"36498432\"]\n  7 -> 37 [size =\"36498432\"]\n  8 [size=\"54940160\", alpha=\"0.16\", expect_size=\"21976064\"] \n  8 -> 35 [size =\"21976064\"]\n  8 -> 36 [size =\"21976064\"]\n  8 -> 37 [size =\"21976064\"]\n  8 -> 39 [size =\"21976064\"]\n  9 [size=\"55121920\", alpha=\"0.19\", expect_size=\"22048768\"] \n  9 -> 35 [size =\"22048768\"]\n  9 -> 37 [size =\"22048768\"]\n  10 [size=\"29043200\", alpha=\"0.15\", expect_size=\"11617280\"] \n  10 -> 36 [size =\"11617280\"]\n  11 [size=\"47646720\", alpha=\"0.19\", expect_size=\"19058688\"] \n  11 -> 38 [size =\"19058688\"]\n  12 [size=\"50280960\", alpha=\"0.05\", expect_size=\"20112384\"] \n  12 -> 35 [size =\"20112384\"]\n  12 -> 38 [size =\"20112384\"]\n  13 [size=\"24724480\", alpha=\"0.09\", expect_size=\"9889792\"] \n  13 -> 35 [size =\"9889792\"]\n  13 -> 37 [size =\"9889792\"]\n  13 -> 38 [size =\"9889792\"]\n  14 [size=\"107665920\", alpha=\"0.15\", expect_size=\"43066368\"] \n  14 -> 35 [size =\"43066368\"]\n  14 -> 37 [size =\"43066368\"]\n  15 [size=\"49827840\", alpha=\"0.19\", expect_size=\"19931136\"] \n  15 -> 35 [size =\"19931136\"]\n  16 [size=\"26611200\", alpha=\"0.09\", expect_size=\"10644480\"] \n  17 [size=\"125921280\", alpha=\"0.16\", expect_size=\"50368512\"] \n  17 -> 38 [size =\"50368512\"]\n  18 [size=\"121105920\", alpha=\"0.07\", expect_size=\"48442368\"] \n  19 [size=\"98769920\", alpha=\"0.15\", expect_size=\"39507968\"] \n  20 [size=\"93002240\", alpha=\"0.12\", expect_size=\"37200896\"] \n  21 [size=\"61186560\", alpha=\"0.11\", expect_size=\"24474624\"] \n  21 -> 38 [size =\"24474624\"]\n  22 [size=\"57646080\", alpha=\"0.19\", expect_size=\"23058432\"] \n  22 -> 37 [size =\"23058432\"]\n  23 [size=\"89162240\", alpha=\"0.18\", expect_size=\"35664896\"] \n  23 -> 38 [size =\"35664896\"]\n  24 [size=\"21916160\", alpha=\"0.05\", expect_size=\"8766464\"] \n  24 -> 35 [size =\"8766464\"]\n  24 -> 37 [size =\"8766464\"]\n  24 -> 39 [size =\"8766464\"]\n  25 [size=\"109414400\", alpha=\"0.02\", expect_size=\"43765760\"] \n  25 -> 35 [size =\"43765760\"]\n  26 [size=\"106416640\", alpha=\"0.14\", expect_size=\"42566656\"] \n  26 -> 35 [size =\"42566656\"]\n  26 -> 37 [size =\"42566656\"]\n  27 [size=\"39810560\", alpha=\"0.18\", expect_size=\"15924224\"] \n  27 -> 38 [size =\"15924224\"]\n  28 [size=\"15738880\", alpha=\"0.10\", expect_size=\"6295552\"] \n  28 -> 35 [size =\"6295552\"]\n  28 -> 38 [size =\"6295552\"]\n  29 [size=\"58383360\", alpha=\"0.08\", expect_size=\"23353344\"] \n  29 -> 35 [size =\"23353344\"]\n  30 [size=\"28787200\", alpha=\"0.10\", expect_size=\"11514880\"] \n  30 -> 35 [size =\"11514880\"]\n  31 [size=\"101900800\", alpha=\"0.17\", expect_size=\"40760320\"] \n  31 -> 37 [size =\"40760320\"]\n  31 -> 40 [size =\"40760320\"]\n  32 [size=\"46868480\", alpha=\"0.11\", expect_size=\"18747392\"] \n  33 [size=\"38410240\", alpha=\"0.06\", expect_size=\"15364096\"] \n  33 -> 35 [size =\"15364096\"]\n  33 -> 37 [size =\"15364096\"]\n  34 [size=\"29401600\", alpha=\"0.18\", expect_size=\"11760640\"] \n  34 -> 35 [size =\"11760640\"]\n  34 -> 37 [size =\"11760640\"]\n  34 -> 40 [size =\"11760640\"]\n  35 [size=\"61427200\", alpha=\"0.15\", expect_size=\"24570880\"] \n  36 [size=\"75072000\", alpha=\"0.15\", expect_size=\"30028800\"] \n  37 [size=\"37030400\", alpha=\"0.15\", expect_size=\"14812160\"] \n  38 [size=\"25443840\", alpha=\"0.12\", expect_size=\"10177536\"] \n  39 [size=\"82140160\", alpha=\"0.04\", expect_size=\"32856064\"] \n  40 [size=\"13212160\", alpha=\"0.10\", expect_size=\"5284864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154466987\", alpha=\"0.12\", expect_size=\"46340096\"] \n  1 -> 2 [size =\"46340096\"]\n  2 [size=\"172690773\", alpha=\"0.01\", expect_size=\"51807232\"] \n  2 -> 3 [size =\"51807232\"]\n  3 [size=\"39628800\", alpha=\"0.16\", expect_size=\"11888640\"] \n  3 -> 4 [size =\"11888640\"]\n  4 [size=\"173281280\", alpha=\"0.02\", expect_size=\"51984384\"] \n  4 -> 5 [size =\"51984384\"]\n  5 [size=\"168936107\", alpha=\"0.05\", expect_size=\"50680832\"] \n  5 -> 6 [size =\"50680832\"]\n  6 [size=\"173506560\", alpha=\"0.00\", expect_size=\"52051968\"] \n  6 -> 7 [size =\"52051968\"]\n  7 [size=\"139547307\", alpha=\"0.16\", expect_size=\"41864192\"] \n  7 -> 8 [size =\"41864192\"]\n  8 [size=\"156794880\", alpha=\"0.11\", expect_size=\"47038464\"] \n  8 -> 9 [size =\"47038464\"]\n  9 [size=\"40355840\", alpha=\"0.14\", expect_size=\"12106752\"] \n  9 -> 10 [size =\"12106752\"]\n  10 [size=\"69393067\", alpha=\"0.14\", expect_size=\"20817920\"] \n  10 -> 11 [size =\"20817920\"]\n  11 [size=\"132102827\", alpha=\"0.19\", expect_size=\"39630848\"] \n  11 -> 12 [size =\"39630848\"]\n  12 [size=\"65761280\", alpha=\"0.07\", expect_size=\"19728384\"] \n  12 -> 13 [size =\"19728384\"]\n  13 [size=\"75444907\", alpha=\"0.17\", expect_size=\"22633472\"] \n  13 -> 14 [size =\"22633472\"]\n  14 [size=\"45933227\", alpha=\"0.11\", expect_size=\"13779968\"] \n  14 -> 15 [size =\"13779968\"]\n  15 [size=\"65590613\", alpha=\"0.13\", expect_size=\"19677184\"] \n  15 -> 16 [size =\"19677184\"]\n  16 [size=\"101502293\", alpha=\"0.19\", expect_size=\"30450688\"] \n  16 -> 17 [size =\"30450688\"]\n  17 [size=\"103335253\", alpha=\"0.09\", expect_size=\"31000576\"] \n  17 -> 18 [size =\"31000576\"]\n  18 [size=\"69259947\", alpha=\"0.02\", expect_size=\"20777984\"] \n  18 -> 19 [size =\"20777984\"]\n  19 [size=\"154251947\", alpha=\"0.14\", expect_size=\"46275584\"] \n  19 -> 20 [size =\"46275584\"]\n  20 [size=\"105400320\", alpha=\"0.08\", expect_size=\"31620096\"] \n  20 -> 21 [size =\"31620096\"]\n  21 [size=\"60371627\", alpha=\"0.19\", expect_size=\"18111488\"] \n  21 -> 22 [size =\"18111488\"]\n  22 [size=\"54405120\", alpha=\"0.09\", expect_size=\"16321536\"] \n  22 -> 23 [size =\"16321536\"]\n  23 [size=\"105687040\", alpha=\"0.03\", expect_size=\"31706112\"] \n  23 -> 24 [size =\"31706112\"]\n  24 [size=\"83510613\", alpha=\"0.16\", expect_size=\"25053184\"] \n  24 -> 25 [size =\"25053184\"]\n  25 [size=\"171666773\", alpha=\"0.09\", expect_size=\"51500032\"] \n  25 -> 26 [size =\"51500032\"]\n  26 [size=\"113483093\", alpha=\"0.01\", expect_size=\"34044928\"] \n  26 -> 27 [size =\"34044928\"]\n  27 [size=\"109195947\", alpha=\"0.09\", expect_size=\"32758784\"] \n  27 -> 28 [size =\"32758784\"]\n  28 [size=\"23616853\", alpha=\"0.15\", expect_size=\"7085056\"] \n  28 -> 29 [size =\"7085056\"]\n  29 [size=\"35577173\", alpha=\"0.03\", expect_size=\"10673152\"] \n  29 -> 30 [size =\"10673152\"]\n  30 [size=\"147848533\", alpha=\"0.18\", expect_size=\"44354560\"] \n  30 -> 31 [size =\"44354560\"]\n  31 [size=\"51787093\", alpha=\"0.08\", expect_size=\"15536128\"] \n  31 -> 32 [size =\"15536128\"]\n  32 [size=\"41673387\", alpha=\"0.04\", expect_size=\"12502016\"] \n  32 -> 33 [size =\"12502016\"]\n  33 [size=\"115438933\", alpha=\"0.07\", expect_size=\"34631680\"] \n  33 -> 34 [size =\"34631680\"]\n  34 [size=\"137949867\", alpha=\"0.14\", expect_size=\"41384960\"] \n  34 -> 35 [size =\"41384960\"]\n  35 [size=\"107735040\", alpha=\"0.07\", expect_size=\"32320512\"] \n  35 -> 36 [size =\"32320512\"]\n  36 [size=\"18961067\", alpha=\"0.11\", expect_size=\"5688320\"] \n  36 -> 37 [size =\"5688320\"]\n  37 [size=\"27668480\", alpha=\"0.05\", expect_size=\"8300544\"] \n  37 -> 38 [size =\"8300544\"]\n  38 [size=\"98635093\", alpha=\"0.06\", expect_size=\"29590528\"] \n  38 -> 39 [size =\"29590528\"]\n  39 [size=\"56616960\", alpha=\"0.05\", expect_size=\"16985088\"] \n  39 -> 40 [size =\"16985088\"]\n  40 [size=\"81769813\", alpha=\"0.15\", expect_size=\"24530944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74113707\", alpha=\"0.07\", expect_size=\"22234112\"] \n  1 -> 2 [size =\"22234112\"]\n  2 [size=\"63057920\", alpha=\"0.07\", expect_size=\"18917376\"] \n  2 -> 3 [size =\"18917376\"]\n  3 [size=\"155347627\", alpha=\"0.13\", expect_size=\"46604288\"] \n  3 -> 4 [size =\"46604288\"]\n  4 [size=\"37754880\", alpha=\"0.12\", expect_size=\"11326464\"] \n  4 -> 5 [size =\"11326464\"]\n  5 [size=\"53524480\", alpha=\"0.19\", expect_size=\"16057344\"] \n  5 -> 6 [size =\"16057344\"]\n  6 [size=\"133969920\", alpha=\"0.14\", expect_size=\"40190976\"] \n  6 -> 7 [size =\"40190976\"]\n  7 [size=\"87227733\", alpha=\"0.12\", expect_size=\"26168320\"] \n  7 -> 8 [size =\"26168320\"]\n  8 [size=\"146162347\", alpha=\"0.07\", expect_size=\"43848704\"] \n  8 -> 9 [size =\"43848704\"]\n  9 [size=\"88944640\", alpha=\"0.18\", expect_size=\"26683392\"] \n  9 -> 10 [size =\"26683392\"]\n  10 [size=\"169178453\", alpha=\"0.07\", expect_size=\"50753536\"] \n  10 -> 11 [size =\"50753536\"]\n  11 [size=\"65976320\", alpha=\"0.12\", expect_size=\"19792896\"] \n  11 -> 12 [size =\"19792896\"]\n  12 [size=\"122197333\", alpha=\"0.11\", expect_size=\"36659200\"] \n  12 -> 13 [size =\"36659200\"]\n  13 [size=\"17786880\", alpha=\"0.01\", expect_size=\"5336064\"] \n  13 -> 14 [size =\"5336064\"]\n  14 [size=\"116862293\", alpha=\"0.12\", expect_size=\"35058688\"] \n  14 -> 15 [size =\"35058688\"]\n  15 [size=\"54620160\", alpha=\"0.18\", expect_size=\"16386048\"] \n  15 -> 16 [size =\"16386048\"]\n  16 [size=\"49906347\", alpha=\"0.09\", expect_size=\"14971904\"] \n  16 -> 17 [size =\"14971904\"]\n  17 [size=\"159498240\", alpha=\"0.08\", expect_size=\"47849472\"] \n  17 -> 18 [size =\"47849472\"]\n  18 [size=\"100427093\", alpha=\"0.17\", expect_size=\"30128128\"] \n  18 -> 19 [size =\"30128128\"]\n  19 [size=\"158426453\", alpha=\"0.19\", expect_size=\"47527936\"] \n  19 -> 20 [size =\"47527936\"]\n  20 [size=\"139455147\", alpha=\"0.18\", expect_size=\"41836544\"] \n  20 -> 21 [size =\"41836544\"]\n  21 [size=\"39222613\", alpha=\"0.04\", expect_size=\"11766784\"] \n  21 -> 22 [size =\"11766784\"]\n  22 [size=\"133280427\", alpha=\"0.15\", expect_size=\"39984128\"] \n  22 -> 23 [size =\"39984128\"]\n  23 [size=\"64546133\", alpha=\"0.04\", expect_size=\"19363840\"] \n  23 -> 24 [size =\"19363840\"]\n  24 [size=\"76028587\", alpha=\"0.16\", expect_size=\"22808576\"] \n  24 -> 25 [size =\"22808576\"]\n  25 [size=\"168905387\", alpha=\"0.13\", expect_size=\"50671616\"] \n  25 -> 26 [size =\"50671616\"]\n  26 [size=\"153217707\", alpha=\"0.04\", expect_size=\"45965312\"] \n  26 -> 27 [size =\"45965312\"]\n  27 [size=\"68894720\", alpha=\"0.04\", expect_size=\"20668416\"] \n  27 -> 28 [size =\"20668416\"]\n  28 [size=\"128631467\", alpha=\"0.00\", expect_size=\"38589440\"] \n  28 -> 29 [size =\"38589440\"]\n  29 [size=\"107649707\", alpha=\"0.06\", expect_size=\"32294912\"] \n  29 -> 30 [size =\"32294912\"]\n  30 [size=\"100044800\", alpha=\"0.10\", expect_size=\"30013440\"] \n  30 -> 31 [size =\"30013440\"]\n  31 [size=\"81930240\", alpha=\"0.01\", expect_size=\"24579072\"] \n  31 -> 32 [size =\"24579072\"]\n  32 [size=\"109946880\", alpha=\"0.06\", expect_size=\"32984064\"] \n  32 -> 33 [size =\"32984064\"]\n  33 [size=\"72393387\", alpha=\"0.10\", expect_size=\"21718016\"] \n  33 -> 34 [size =\"21718016\"]\n  34 [size=\"107141120\", alpha=\"0.07\", expect_size=\"32142336\"] \n  34 -> 35 [size =\"32142336\"]\n  35 [size=\"77182293\", alpha=\"0.09\", expect_size=\"23154688\"] \n  35 -> 36 [size =\"23154688\"]\n  36 [size=\"18571947\", alpha=\"0.14\", expect_size=\"5571584\"] \n  36 -> 37 [size =\"5571584\"]\n  37 [size=\"47800320\", alpha=\"0.18\", expect_size=\"14340096\"] \n  37 -> 38 [size =\"14340096\"]\n  38 [size=\"77335893\", alpha=\"0.13\", expect_size=\"23200768\"] \n  38 -> 39 [size =\"23200768\"]\n  39 [size=\"78578347\", alpha=\"0.05\", expect_size=\"23573504\"] \n  39 -> 40 [size =\"23573504\"]\n  40 [size=\"122999467\", alpha=\"0.13\", expect_size=\"36899840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26398720\", alpha=\"0.04\", expect_size=\"7919616\"] \n  1 -> 10 [size =\"7919616\"]\n  1 -> 11 [size =\"7919616\"]\n  2 [size=\"137611947\", alpha=\"0.14\", expect_size=\"41283584\"] \n  2 -> 7 [size =\"41283584\"]\n  3 [size=\"147247787\", alpha=\"0.10\", expect_size=\"44174336\"] \n  3 -> 7 [size =\"44174336\"]\n  3 -> 8 [size =\"44174336\"]\n  3 -> 9 [size =\"44174336\"]\n  3 -> 10 [size =\"44174336\"]\n  4 [size=\"158815573\", alpha=\"0.03\", expect_size=\"47644672\"] \n  4 -> 6 [size =\"47644672\"]\n  4 -> 8 [size =\"47644672\"]\n  4 -> 9 [size =\"47644672\"]\n  4 -> 10 [size =\"47644672\"]\n  4 -> 11 [size =\"47644672\"]\n  5 [size=\"67799040\", alpha=\"0.14\", expect_size=\"20339712\"] \n  5 -> 6 [size =\"20339712\"]\n  6 [size=\"125163520\", alpha=\"0.09\", expect_size=\"37549056\"] \n  6 -> 14 [size =\"37549056\"]\n  6 -> 15 [size =\"37549056\"]\n  6 -> 16 [size =\"37549056\"]\n  7 [size=\"127102293\", alpha=\"0.01\", expect_size=\"38130688\"] \n  7 -> 12 [size =\"38130688\"]\n  7 -> 15 [size =\"38130688\"]\n  7 -> 16 [size =\"38130688\"]\n  7 -> 17 [size =\"38130688\"]\n  8 [size=\"20459520\", alpha=\"0.12\", expect_size=\"6137856\"] \n  8 -> 12 [size =\"6137856\"]\n  8 -> 16 [size =\"6137856\"]\n  8 -> 17 [size =\"6137856\"]\n  9 [size=\"88395093\", alpha=\"0.09\", expect_size=\"26518528\"] \n  9 -> 15 [size =\"26518528\"]\n  9 -> 16 [size =\"26518528\"]\n  10 [size=\"35444053\", alpha=\"0.05\", expect_size=\"10633216\"] \n  11 [size=\"30231893\", alpha=\"0.04\", expect_size=\"9069568\"] \n  11 -> 13 [size =\"9069568\"]\n  11 -> 15 [size =\"9069568\"]\n  12 [size=\"57777493\", alpha=\"0.00\", expect_size=\"17333248\"] \n  12 -> 18 [size =\"17333248\"]\n  12 -> 19 [size =\"17333248\"]\n  12 -> 21 [size =\"17333248\"]\n  13 [size=\"171782827\", alpha=\"0.09\", expect_size=\"51534848\"] \n  13 -> 19 [size =\"51534848\"]\n  13 -> 20 [size =\"51534848\"]\n  13 -> 21 [size =\"51534848\"]\n  14 [size=\"92651520\", alpha=\"0.06\", expect_size=\"27795456\"] \n  14 -> 18 [size =\"27795456\"]\n  15 [size=\"112752640\", alpha=\"0.08\", expect_size=\"33825792\"] \n  15 -> 18 [size =\"33825792\"]\n  15 -> 22 [size =\"33825792\"]\n  15 -> 23 [size =\"33825792\"]\n  16 [size=\"64839680\", alpha=\"0.20\", expect_size=\"19451904\"] \n  16 -> 21 [size =\"19451904\"]\n  16 -> 23 [size =\"19451904\"]\n  17 [size=\"136318293\", alpha=\"0.02\", expect_size=\"40895488\"] \n  17 -> 21 [size =\"40895488\"]\n  17 -> 23 [size =\"40895488\"]\n  18 [size=\"147978240\", alpha=\"0.03\", expect_size=\"44393472\"] \n  18 -> 26 [size =\"44393472\"]\n  19 [size=\"82360320\", alpha=\"0.16\", expect_size=\"24708096\"] \n  19 -> 24 [size =\"24708096\"]\n  19 -> 26 [size =\"24708096\"]\n  19 -> 27 [size =\"24708096\"]\n  20 [size=\"152268800\", alpha=\"0.12\", expect_size=\"45680640\"] \n  20 -> 26 [size =\"45680640\"]\n  20 -> 27 [size =\"45680640\"]\n  21 [size=\"34901333\", alpha=\"0.09\", expect_size=\"10470400\"] \n  21 -> 27 [size =\"10470400\"]\n  22 [size=\"64955733\", alpha=\"0.01\", expect_size=\"19486720\"] \n  22 -> 25 [size =\"19486720\"]\n  22 -> 27 [size =\"19486720\"]\n  23 [size=\"68034560\", alpha=\"0.10\", expect_size=\"20410368\"] \n  23 -> 24 [size =\"20410368\"]\n  23 -> 25 [size =\"20410368\"]\n  23 -> 28 [size =\"20410368\"]\n  24 [size=\"142107307\", alpha=\"0.17\", expect_size=\"42632192\"] \n  25 [size=\"28965547\", alpha=\"0.10\", expect_size=\"8689664\"] \n  25 -> 29 [size =\"8689664\"]\n  25 -> 31 [size =\"8689664\"]\n  25 -> 32 [size =\"8689664\"]\n  26 [size=\"89494187\", alpha=\"0.17\", expect_size=\"26848256\"] \n  26 -> 30 [size =\"26848256\"]\n  26 -> 31 [size =\"26848256\"]\n  26 -> 32 [size =\"26848256\"]\n  26 -> 33 [size =\"26848256\"]\n  27 [size=\"85592747\", alpha=\"0.18\", expect_size=\"25677824\"] \n  27 -> 29 [size =\"25677824\"]\n  27 -> 30 [size =\"25677824\"]\n  27 -> 31 [size =\"25677824\"]\n  27 -> 32 [size =\"25677824\"]\n  27 -> 33 [size =\"25677824\"]\n  28 [size=\"101413547\", alpha=\"0.20\", expect_size=\"30424064\"] \n  28 -> 34 [size =\"30424064\"]\n  29 [size=\"122060800\", alpha=\"0.10\", expect_size=\"36618240\"] \n  29 -> 39 [size =\"36618240\"]\n  29 -> 40 [size =\"36618240\"]\n  30 [size=\"90668373\", alpha=\"0.02\", expect_size=\"27200512\"] \n  30 -> 35 [size =\"27200512\"]\n  30 -> 37 [size =\"27200512\"]\n  30 -> 40 [size =\"27200512\"]\n  31 [size=\"27555840\", alpha=\"0.17\", expect_size=\"8266752\"] \n  31 -> 35 [size =\"8266752\"]\n  31 -> 37 [size =\"8266752\"]\n  31 -> 38 [size =\"8266752\"]\n  31 -> 40 [size =\"8266752\"]\n  32 [size=\"98938880\", alpha=\"0.16\", expect_size=\"29681664\"] \n  32 -> 35 [size =\"29681664\"]\n  32 -> 38 [size =\"29681664\"]\n  32 -> 38 [size =\"29681664\"]\n  32 -> 40 [size =\"29681664\"]\n  33 [size=\"110380373\", alpha=\"0.15\", expect_size=\"33114112\"] \n  33 -> 35 [size =\"33114112\"]\n  33 -> 36 [size =\"33114112\"]\n  34 [size=\"34365440\", alpha=\"0.03\", expect_size=\"10309632\"] \n  34 -> 37 [size =\"10309632\"]\n  35 [size=\"169526613\", alpha=\"0.04\", expect_size=\"50857984\"] \n  36 [size=\"94324053\", alpha=\"0.11\", expect_size=\"28297216\"] \n  37 [size=\"73738240\", alpha=\"0.12\", expect_size=\"22121472\"] \n  38 [size=\"60108800\", alpha=\"0.11\", expect_size=\"18032640\"] \n  39 [size=\"56418987\", alpha=\"0.17\", expect_size=\"16925696\"] \n  40 [size=\"133587627\", alpha=\"0.01\", expect_size=\"40076288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97692160\", alpha=\"0.15\", expect_size=\"39076864\"] \n  1 -> 2 [size =\"39076864\"]\n  2 [size=\"101401600\", alpha=\"0.14\", expect_size=\"40560640\"] \n  2 -> 3 [size =\"40560640\"]\n  3 [size=\"33082880\", alpha=\"0.11\", expect_size=\"13233152\"] \n  3 -> 4 [size =\"13233152\"]\n  4 [size=\"35417600\", alpha=\"0.16\", expect_size=\"14167040\"] \n  4 -> 5 [size =\"14167040\"]\n  5 [size=\"72046080\", alpha=\"0.13\", expect_size=\"28818432\"] \n  5 -> 6 [size =\"28818432\"]\n  6 [size=\"62801920\", alpha=\"0.14\", expect_size=\"25120768\"] \n  6 -> 7 [size =\"25120768\"]\n  7 [size=\"118809600\", alpha=\"0.18\", expect_size=\"47523840\"] \n  7 -> 8 [size =\"47523840\"]\n  8 [size=\"39365120\", alpha=\"0.01\", expect_size=\"15746048\"] \n  8 -> 9 [size =\"15746048\"]\n  9 [size=\"74278400\", alpha=\"0.14\", expect_size=\"29711360\"] \n  9 -> 10 [size =\"29711360\"]\n  10 [size=\"80184320\", alpha=\"0.20\", expect_size=\"32073728\"] \n  10 -> 11 [size =\"32073728\"]\n  11 [size=\"92252160\", alpha=\"0.01\", expect_size=\"36900864\"] \n  11 -> 12 [size =\"36900864\"]\n  12 [size=\"63887360\", alpha=\"0.12\", expect_size=\"25554944\"] \n  12 -> 13 [size =\"25554944\"]\n  13 [size=\"28536320\", alpha=\"0.08\", expect_size=\"11414528\"] \n  13 -> 14 [size =\"11414528\"]\n  14 [size=\"92981760\", alpha=\"0.07\", expect_size=\"37192704\"] \n  14 -> 15 [size =\"37192704\"]\n  15 [size=\"69959680\", alpha=\"0.08\", expect_size=\"27983872\"] \n  15 -> 16 [size =\"27983872\"]\n  16 [size=\"28587520\", alpha=\"0.12\", expect_size=\"11435008\"] \n  16 -> 17 [size =\"11435008\"]\n  17 [size=\"112204800\", alpha=\"0.01\", expect_size=\"44881920\"] \n  17 -> 18 [size =\"44881920\"]\n  18 [size=\"98652160\", alpha=\"0.17\", expect_size=\"39460864\"] \n  18 -> 19 [size =\"39460864\"]\n  19 [size=\"102172160\", alpha=\"0.17\", expect_size=\"40868864\"] \n  19 -> 20 [size =\"40868864\"]\n  20 [size=\"64010240\", alpha=\"0.04\", expect_size=\"25604096\"] \n  20 -> 21 [size =\"25604096\"]\n  21 [size=\"61114880\", alpha=\"0.06\", expect_size=\"24445952\"] \n  21 -> 22 [size =\"24445952\"]\n  22 [size=\"68620800\", alpha=\"0.02\", expect_size=\"27448320\"] \n  22 -> 23 [size =\"27448320\"]\n  23 [size=\"20016640\", alpha=\"0.02\", expect_size=\"8006656\"] \n  23 -> 24 [size =\"8006656\"]\n  24 [size=\"65203200\", alpha=\"0.06\", expect_size=\"26081280\"] \n  24 -> 25 [size =\"26081280\"]\n  25 [size=\"104376320\", alpha=\"0.19\", expect_size=\"41750528\"] \n  25 -> 26 [size =\"41750528\"]\n  26 [size=\"31639040\", alpha=\"0.01\", expect_size=\"12655616\"] \n  26 -> 27 [size =\"12655616\"]\n  27 [size=\"102909440\", alpha=\"0.01\", expect_size=\"41163776\"] \n  27 -> 28 [size =\"41163776\"]\n  28 [size=\"108208640\", alpha=\"0.06\", expect_size=\"43283456\"] \n  28 -> 29 [size =\"43283456\"]\n  29 [size=\"91304960\", alpha=\"0.00\", expect_size=\"36521984\"] \n  29 -> 30 [size =\"36521984\"]\n  30 [size=\"73098240\", alpha=\"0.07\", expect_size=\"29239296\"] \n  30 -> 31 [size =\"29239296\"]\n  31 [size=\"97131520\", alpha=\"0.06\", expect_size=\"38852608\"] \n  31 -> 32 [size =\"38852608\"]\n  32 [size=\"130030080\", alpha=\"0.14\", expect_size=\"52012032\"] \n  32 -> 33 [size =\"52012032\"]\n  33 [size=\"24158720\", alpha=\"0.05\", expect_size=\"9663488\"] \n  33 -> 34 [size =\"9663488\"]\n  34 [size=\"35422720\", alpha=\"0.10\", expect_size=\"14169088\"] \n  34 -> 35 [size =\"14169088\"]\n  35 [size=\"68170240\", alpha=\"0.04\", expect_size=\"27268096\"] \n  35 -> 36 [size =\"27268096\"]\n  36 [size=\"63375360\", alpha=\"0.00\", expect_size=\"25350144\"] \n  36 -> 37 [size =\"25350144\"]\n  37 [size=\"70735360\", alpha=\"0.14\", expect_size=\"28294144\"] \n  37 -> 38 [size =\"28294144\"]\n  38 [size=\"77987840\", alpha=\"0.02\", expect_size=\"31195136\"] \n  38 -> 39 [size =\"31195136\"]\n  39 [size=\"111390720\", alpha=\"0.05\", expect_size=\"44556288\"] \n  39 -> 40 [size =\"44556288\"]\n  40 [size=\"114152960\", alpha=\"0.16\", expect_size=\"45661184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56345600\", alpha=\"0.08\", expect_size=\"22538240\"] \n  1 -> 16 [size =\"22538240\"]\n  1 -> 17 [size =\"22538240\"]\n  1 -> 19 [size =\"22538240\"]\n  1 -> 21 [size =\"22538240\"]\n  1 -> 23 [size =\"22538240\"]\n  2 [size=\"41228800\", alpha=\"0.00\", expect_size=\"16491520\"] \n  2 -> 16 [size =\"16491520\"]\n  2 -> 17 [size =\"16491520\"]\n  2 -> 19 [size =\"16491520\"]\n  2 -> 23 [size =\"16491520\"]\n  2 -> 25 [size =\"16491520\"]\n  3 [size=\"107911680\", alpha=\"0.07\", expect_size=\"43164672\"] \n  3 -> 21 [size =\"43164672\"]\n  3 -> 22 [size =\"43164672\"]\n  3 -> 23 [size =\"43164672\"]\n  3 -> 26 [size =\"43164672\"]\n  4 [size=\"17192960\", alpha=\"0.17\", expect_size=\"6877184\"] \n  4 -> 19 [size =\"6877184\"]\n  4 -> 23 [size =\"6877184\"]\n  4 -> 25 [size =\"6877184\"]\n  4 -> 26 [size =\"6877184\"]\n  5 [size=\"28216320\", alpha=\"0.18\", expect_size=\"11286528\"] \n  5 -> 16 [size =\"11286528\"]\n  5 -> 17 [size =\"11286528\"]\n  5 -> 19 [size =\"11286528\"]\n  5 -> 20 [size =\"11286528\"]\n  5 -> 25 [size =\"11286528\"]\n  6 [size=\"127654400\", alpha=\"0.18\", expect_size=\"51061760\"] \n  6 -> 19 [size =\"51061760\"]\n  6 -> 21 [size =\"51061760\"]\n  6 -> 23 [size =\"51061760\"]\n  6 -> 24 [size =\"51061760\"]\n  6 -> 26 [size =\"51061760\"]\n  7 [size=\"72135680\", alpha=\"0.07\", expect_size=\"28854272\"] \n  7 -> 18 [size =\"28854272\"]\n  7 -> 21 [size =\"28854272\"]\n  7 -> 22 [size =\"28854272\"]\n  7 -> 25 [size =\"28854272\"]\n  7 -> 26 [size =\"28854272\"]\n  8 [size=\"27200000\", alpha=\"0.07\", expect_size=\"10880000\"] \n  8 -> 17 [size =\"10880000\"]\n  8 -> 18 [size =\"10880000\"]\n  8 -> 20 [size =\"10880000\"]\n  8 -> 21 [size =\"10880000\"]\n  8 -> 23 [size =\"10880000\"]\n  8 -> 25 [size =\"10880000\"]\n  9 [size=\"118707200\", alpha=\"0.01\", expect_size=\"47482880\"] \n  9 -> 16 [size =\"47482880\"]\n  9 -> 17 [size =\"47482880\"]\n  9 -> 18 [size =\"47482880\"]\n  9 -> 20 [size =\"47482880\"]\n  9 -> 23 [size =\"47482880\"]\n  9 -> 25 [size =\"47482880\"]\n  10 [size=\"102924800\", alpha=\"0.12\", expect_size=\"41169920\"] \n  10 -> 17 [size =\"41169920\"]\n  10 -> 22 [size =\"41169920\"]\n  11 [size=\"37399040\", alpha=\"0.06\", expect_size=\"14959616\"] \n  11 -> 16 [size =\"14959616\"]\n  11 -> 19 [size =\"14959616\"]\n  11 -> 22 [size =\"14959616\"]\n  11 -> 23 [size =\"14959616\"]\n  12 [size=\"85962240\", alpha=\"0.09\", expect_size=\"34384896\"] \n  12 -> 16 [size =\"34384896\"]\n  12 -> 21 [size =\"34384896\"]\n  12 -> 22 [size =\"34384896\"]\n  13 [size=\"87669760\", alpha=\"0.09\", expect_size=\"35067904\"] \n  13 -> 16 [size =\"35067904\"]\n  13 -> 21 [size =\"35067904\"]\n  13 -> 22 [size =\"35067904\"]\n  13 -> 25 [size =\"35067904\"]\n  13 -> 26 [size =\"35067904\"]\n  14 [size=\"126676480\", alpha=\"0.07\", expect_size=\"50670592\"] \n  14 -> 16 [size =\"50670592\"]\n  14 -> 17 [size =\"50670592\"]\n  14 -> 19 [size =\"50670592\"]\n  14 -> 21 [size =\"50670592\"]\n  15 [size=\"107317760\", alpha=\"0.15\", expect_size=\"42927104\"] \n  15 -> 17 [size =\"42927104\"]\n  15 -> 19 [size =\"42927104\"]\n  16 [size=\"95649280\", alpha=\"0.12\", expect_size=\"38259712\"] \n  16 -> 31 [size =\"38259712\"]\n  16 -> 36 [size =\"38259712\"]\n  16 -> 38 [size =\"38259712\"]\n  17 [size=\"85342720\", alpha=\"0.04\", expect_size=\"34137088\"] \n  17 -> 28 [size =\"34137088\"]\n  17 -> 30 [size =\"34137088\"]\n  17 -> 34 [size =\"34137088\"]\n  17 -> 38 [size =\"34137088\"]\n  18 [size=\"129338880\", alpha=\"0.13\", expect_size=\"51735552\"] \n  18 -> 27 [size =\"51735552\"]\n  18 -> 30 [size =\"51735552\"]\n  18 -> 37 [size =\"51735552\"]\n  18 -> 38 [size =\"51735552\"]\n  19 [size=\"53363200\", alpha=\"0.19\", expect_size=\"21345280\"] \n  19 -> 27 [size =\"21345280\"]\n  19 -> 28 [size =\"21345280\"]\n  19 -> 29 [size =\"21345280\"]\n  19 -> 30 [size =\"21345280\"]\n  19 -> 33 [size =\"21345280\"]\n  19 -> 37 [size =\"21345280\"]\n  19 -> 39 [size =\"21345280\"]\n  20 [size=\"58828800\", alpha=\"0.11\", expect_size=\"23531520\"] \n  20 -> 27 [size =\"23531520\"]\n  20 -> 30 [size =\"23531520\"]\n  20 -> 32 [size =\"23531520\"]\n  20 -> 37 [size =\"23531520\"]\n  20 -> 39 [size =\"23531520\"]\n  21 [size=\"13765120\", alpha=\"0.09\", expect_size=\"5506048\"] \n  21 -> 28 [size =\"5506048\"]\n  21 -> 29 [size =\"5506048\"]\n  21 -> 30 [size =\"5506048\"]\n  21 -> 33 [size =\"5506048\"]\n  21 -> 34 [size =\"5506048\"]\n  21 -> 36 [size =\"5506048\"]\n  22 [size=\"50327040\", alpha=\"0.13\", expect_size=\"20130816\"] \n  22 -> 27 [size =\"20130816\"]\n  22 -> 28 [size =\"20130816\"]\n  22 -> 29 [size =\"20130816\"]\n  23 [size=\"105597440\", alpha=\"0.13\", expect_size=\"42238976\"] \n  23 -> 27 [size =\"42238976\"]\n  23 -> 28 [size =\"42238976\"]\n  23 -> 29 [size =\"42238976\"]\n  23 -> 35 [size =\"42238976\"]\n  23 -> 37 [size =\"42238976\"]\n  24 [size=\"40005120\", alpha=\"0.13\", expect_size=\"16002048\"] \n  24 -> 27 [size =\"16002048\"]\n  24 -> 29 [size =\"16002048\"]\n  24 -> 29 [size =\"16002048\"]\n  24 -> 30 [size =\"16002048\"]\n  24 -> 31 [size =\"16002048\"]\n  24 -> 35 [size =\"16002048\"]\n  24 -> 37 [size =\"16002048\"]\n  24 -> 38 [size =\"16002048\"]\n  25 [size=\"82611200\", alpha=\"0.16\", expect_size=\"33044480\"] \n  25 -> 27 [size =\"33044480\"]\n  25 -> 29 [size =\"33044480\"]\n  25 -> 33 [size =\"33044480\"]\n  25 -> 37 [size =\"33044480\"]\n  25 -> 39 [size =\"33044480\"]\n  26 [size=\"50467840\", alpha=\"0.19\", expect_size=\"20187136\"] \n  26 -> 27 [size =\"20187136\"]\n  26 -> 33 [size =\"20187136\"]\n  26 -> 34 [size =\"20187136\"]\n  26 -> 39 [size =\"20187136\"]\n  27 [size=\"123722240\", alpha=\"0.11\", expect_size=\"49488896\"] \n  28 [size=\"28876800\", alpha=\"0.06\", expect_size=\"11550720\"] \n  29 [size=\"106869760\", alpha=\"0.19\", expect_size=\"42747904\"] \n  29 -> 40 [size =\"42747904\"]\n  30 [size=\"100810240\", alpha=\"0.07\", expect_size=\"40324096\"] \n  31 [size=\"45099520\", alpha=\"0.19\", expect_size=\"18039808\"] \n  31 -> 40 [size =\"18039808\"]\n  32 [size=\"100948480\", alpha=\"0.03\", expect_size=\"40379392\"] \n  32 -> 40 [size =\"40379392\"]\n  33 [size=\"60546560\", alpha=\"0.00\", expect_size=\"24218624\"] \n  33 -> 40 [size =\"24218624\"]\n  34 [size=\"18703360\", alpha=\"0.17\", expect_size=\"7481344\"] \n  34 -> 40 [size =\"7481344\"]\n  35 [size=\"97469440\", alpha=\"0.09\", expect_size=\"38987776\"] \n  35 -> 40 [size =\"38987776\"]\n  36 [size=\"76021760\", alpha=\"0.15\", expect_size=\"30408704\"] \n  37 [size=\"68912640\", alpha=\"0.14\", expect_size=\"27565056\"] \n  37 -> 40 [size =\"27565056\"]\n  38 [size=\"17205760\", alpha=\"0.12\", expect_size=\"6882304\"] \n  38 -> 40 [size =\"6882304\"]\n  39 [size=\"52963840\", alpha=\"0.17\", expect_size=\"21185536\"] \n  40 [size=\"45854720\", alpha=\"0.10\", expect_size=\"18341888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20508160\", alpha=\"0.03\", expect_size=\"8203264\"] \n  1 -> 2 [size =\"8203264\"]\n  2 [size=\"36247040\", alpha=\"0.11\", expect_size=\"14498816\"] \n  2 -> 3 [size =\"14498816\"]\n  3 [size=\"66398720\", alpha=\"0.09\", expect_size=\"26559488\"] \n  3 -> 4 [size =\"26559488\"]\n  4 [size=\"100423680\", alpha=\"0.00\", expect_size=\"40169472\"] \n  4 -> 5 [size =\"40169472\"]\n  5 [size=\"44101120\", alpha=\"0.17\", expect_size=\"17640448\"] \n  5 -> 6 [size =\"17640448\"]\n  6 [size=\"83543040\", alpha=\"0.14\", expect_size=\"33417216\"] \n  6 -> 7 [size =\"33417216\"]\n  7 [size=\"113036800\", alpha=\"0.13\", expect_size=\"45214720\"] \n  7 -> 8 [size =\"45214720\"]\n  8 [size=\"28390400\", alpha=\"0.03\", expect_size=\"11356160\"] \n  8 -> 9 [size =\"11356160\"]\n  9 [size=\"23738880\", alpha=\"0.19\", expect_size=\"9495552\"] \n  9 -> 10 [size =\"9495552\"]\n  10 [size=\"35013120\", alpha=\"0.01\", expect_size=\"14005248\"] \n  10 -> 11 [size =\"14005248\"]\n  11 [size=\"78284800\", alpha=\"0.09\", expect_size=\"31313920\"] \n  11 -> 12 [size =\"31313920\"]\n  12 [size=\"98104320\", alpha=\"0.11\", expect_size=\"39241728\"] \n  12 -> 13 [size =\"39241728\"]\n  13 [size=\"47459840\", alpha=\"0.02\", expect_size=\"18983936\"] \n  13 -> 14 [size =\"18983936\"]\n  14 [size=\"102681600\", alpha=\"0.08\", expect_size=\"41072640\"] \n  14 -> 15 [size =\"41072640\"]\n  15 [size=\"103764480\", alpha=\"0.03\", expect_size=\"41505792\"] \n  15 -> 16 [size =\"41505792\"]\n  16 [size=\"83660800\", alpha=\"0.10\", expect_size=\"33464320\"] \n  16 -> 17 [size =\"33464320\"]\n  17 [size=\"50360320\", alpha=\"0.08\", expect_size=\"20144128\"] \n  17 -> 18 [size =\"20144128\"]\n  18 [size=\"125434880\", alpha=\"0.19\", expect_size=\"50173952\"] \n  18 -> 19 [size =\"50173952\"]\n  19 [size=\"27891200\", alpha=\"0.15\", expect_size=\"11156480\"] \n  19 -> 20 [size =\"11156480\"]\n  20 [size=\"21324800\", alpha=\"0.09\", expect_size=\"8529920\"] \n  20 -> 21 [size =\"8529920\"]\n  21 [size=\"26506240\", alpha=\"0.04\", expect_size=\"10602496\"] \n  21 -> 22 [size =\"10602496\"]\n  22 [size=\"81451520\", alpha=\"0.03\", expect_size=\"32580608\"] \n  22 -> 23 [size =\"32580608\"]\n  23 [size=\"25448960\", alpha=\"0.11\", expect_size=\"10179584\"] \n  23 -> 24 [size =\"10179584\"]\n  24 [size=\"34334720\", alpha=\"0.14\", expect_size=\"13733888\"] \n  24 -> 25 [size =\"13733888\"]\n  25 [size=\"83770880\", alpha=\"0.02\", expect_size=\"33508352\"] \n  25 -> 26 [size =\"33508352\"]\n  26 [size=\"103541760\", alpha=\"0.02\", expect_size=\"41416704\"] \n  26 -> 27 [size =\"41416704\"]\n  27 [size=\"43691520\", alpha=\"0.19\", expect_size=\"17476608\"] \n  27 -> 28 [size =\"17476608\"]\n  28 [size=\"90414080\", alpha=\"0.18\", expect_size=\"36165632\"] \n  28 -> 29 [size =\"36165632\"]\n  29 [size=\"85757440\", alpha=\"0.20\", expect_size=\"34302976\"] \n  29 -> 30 [size =\"34302976\"]\n  30 [size=\"58680320\", alpha=\"0.05\", expect_size=\"23472128\"] \n  30 -> 31 [size =\"23472128\"]\n  31 [size=\"112872960\", alpha=\"0.01\", expect_size=\"45149184\"] \n  31 -> 32 [size =\"45149184\"]\n  32 [size=\"19806720\", alpha=\"0.11\", expect_size=\"7922688\"] \n  32 -> 33 [size =\"7922688\"]\n  33 [size=\"38556160\", alpha=\"0.08\", expect_size=\"15422464\"] \n  33 -> 34 [size =\"15422464\"]\n  34 [size=\"104445440\", alpha=\"0.19\", expect_size=\"41778176\"] \n  34 -> 35 [size =\"41778176\"]\n  35 [size=\"68866560\", alpha=\"0.06\", expect_size=\"27546624\"] \n  35 -> 36 [size =\"27546624\"]\n  36 [size=\"80780800\", alpha=\"0.05\", expect_size=\"32312320\"] \n  36 -> 37 [size =\"32312320\"]\n  37 [size=\"92656640\", alpha=\"0.10\", expect_size=\"37062656\"] \n  37 -> 38 [size =\"37062656\"]\n  38 [size=\"86464000\", alpha=\"0.14\", expect_size=\"34585600\"] \n  38 -> 39 [size =\"34585600\"]\n  39 [size=\"77483520\", alpha=\"0.01\", expect_size=\"30993408\"] \n  39 -> 40 [size =\"30993408\"]\n  40 [size=\"76349440\", alpha=\"0.09\", expect_size=\"30539776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91910144\", alpha=\"0.18\", expect_size=\"45955072\"] \n  1 -> 11 [size =\"45955072\"]\n  1 -> 12 [size =\"45955072\"]\n  1 -> 13 [size =\"45955072\"]\n  1 -> 18 [size =\"45955072\"]\n  2 [size=\"37388288\", alpha=\"0.08\", expect_size=\"18694144\"] \n  2 -> 11 [size =\"18694144\"]\n  2 -> 14 [size =\"18694144\"]\n  2 -> 15 [size =\"18694144\"]\n  2 -> 16 [size =\"18694144\"]\n  2 -> 18 [size =\"18694144\"]\n  2 -> 20 [size =\"18694144\"]\n  2 -> 21 [size =\"18694144\"]\n  2 -> 23 [size =\"18694144\"]\n  3 [size=\"86343680\", alpha=\"0.18\", expect_size=\"43171840\"] \n  3 -> 11 [size =\"43171840\"]\n  3 -> 20 [size =\"43171840\"]\n  3 -> 23 [size =\"43171840\"]\n  4 [size=\"36012032\", alpha=\"0.08\", expect_size=\"18006016\"] \n  4 -> 12 [size =\"18006016\"]\n  4 -> 15 [size =\"18006016\"]\n  4 -> 16 [size =\"18006016\"]\n  4 -> 22 [size =\"18006016\"]\n  5 [size=\"39344128\", alpha=\"0.00\", expect_size=\"19672064\"] \n  5 -> 12 [size =\"19672064\"]\n  5 -> 13 [size =\"19672064\"]\n  5 -> 21 [size =\"19672064\"]\n  5 -> 23 [size =\"19672064\"]\n  6 [size=\"55109632\", alpha=\"0.14\", expect_size=\"27554816\"] \n  6 -> 12 [size =\"27554816\"]\n  6 -> 13 [size =\"27554816\"]\n  6 -> 17 [size =\"27554816\"]\n  6 -> 18 [size =\"27554816\"]\n  7 [size=\"46983168\", alpha=\"0.16\", expect_size=\"23491584\"] \n  7 -> 15 [size =\"23491584\"]\n  7 -> 17 [size =\"23491584\"]\n  7 -> 17 [size =\"23491584\"]\n  7 -> 19 [size =\"23491584\"]\n  7 -> 20 [size =\"23491584\"]\n  8 [size=\"43063296\", alpha=\"0.10\", expect_size=\"21531648\"] \n  8 -> 12 [size =\"21531648\"]\n  8 -> 15 [size =\"21531648\"]\n  8 -> 16 [size =\"21531648\"]\n  8 -> 17 [size =\"21531648\"]\n  8 -> 18 [size =\"21531648\"]\n  9 [size=\"32829440\", alpha=\"0.15\", expect_size=\"16414720\"] \n  9 -> 12 [size =\"16414720\"]\n  9 -> 13 [size =\"16414720\"]\n  9 -> 15 [size =\"16414720\"]\n  9 -> 16 [size =\"16414720\"]\n  9 -> 18 [size =\"16414720\"]\n  9 -> 19 [size =\"16414720\"]\n  9 -> 22 [size =\"16414720\"]\n  10 [size=\"51724288\", alpha=\"0.08\", expect_size=\"25862144\"] \n  10 -> 11 [size =\"25862144\"]\n  10 -> 13 [size =\"25862144\"]\n  10 -> 20 [size =\"25862144\"]\n  10 -> 21 [size =\"25862144\"]\n  10 -> 23 [size =\"25862144\"]\n  11 [size=\"45078528\", alpha=\"0.02\", expect_size=\"22539264\"] \n  11 -> 25 [size =\"22539264\"]\n  11 -> 36 [size =\"22539264\"]\n  11 -> 37 [size =\"22539264\"]\n  12 [size=\"37826560\", alpha=\"0.04\", expect_size=\"18913280\"] \n  12 -> 25 [size =\"18913280\"]\n  12 -> 26 [size =\"18913280\"]\n  12 -> 29 [size =\"18913280\"]\n  12 -> 31 [size =\"18913280\"]\n  12 -> 36 [size =\"18913280\"]\n  12 -> 37 [size =\"18913280\"]\n  13 [size=\"76136448\", alpha=\"0.02\", expect_size=\"38068224\"] \n  13 -> 34 [size =\"38068224\"]\n  13 -> 36 [size =\"38068224\"]\n  13 -> 37 [size =\"38068224\"]\n  14 [size=\"64722944\", alpha=\"0.15\", expect_size=\"32361472\"] \n  14 -> 24 [size =\"32361472\"]\n  14 -> 25 [size =\"32361472\"]\n  14 -> 27 [size =\"32361472\"]\n  14 -> 29 [size =\"32361472\"]\n  14 -> 30 [size =\"32361472\"]\n  14 -> 31 [size =\"32361472\"]\n  14 -> 33 [size =\"32361472\"]\n  14 -> 35 [size =\"32361472\"]\n  15 [size=\"101799936\", alpha=\"0.10\", expect_size=\"50899968\"] \n  15 -> 25 [size =\"50899968\"]\n  15 -> 32 [size =\"50899968\"]\n  15 -> 35 [size =\"50899968\"]\n  16 [size=\"102072320\", alpha=\"0.17\", expect_size=\"51036160\"] \n  16 -> 24 [size =\"51036160\"]\n  16 -> 25 [size =\"51036160\"]\n  16 -> 26 [size =\"51036160\"]\n  16 -> 28 [size =\"51036160\"]\n  16 -> 32 [size =\"51036160\"]\n  16 -> 34 [size =\"51036160\"]\n  16 -> 35 [size =\"51036160\"]\n  17 [size=\"75120640\", alpha=\"0.07\", expect_size=\"37560320\"] \n  17 -> 26 [size =\"37560320\"]\n  17 -> 28 [size =\"37560320\"]\n  17 -> 29 [size =\"37560320\"]\n  17 -> 30 [size =\"37560320\"]\n  17 -> 32 [size =\"37560320\"]\n  17 -> 35 [size =\"37560320\"]\n  17 -> 36 [size =\"37560320\"]\n  17 -> 37 [size =\"37560320\"]\n  18 [size=\"54583296\", alpha=\"0.17\", expect_size=\"27291648\"] \n  19 [size=\"103806976\", alpha=\"0.07\", expect_size=\"51903488\"] \n  19 -> 31 [size =\"51903488\"]\n  19 -> 36 [size =\"51903488\"]\n  19 -> 37 [size =\"51903488\"]\n  20 [size=\"82264064\", alpha=\"0.08\", expect_size=\"41132032\"] \n  20 -> 24 [size =\"41132032\"]\n  20 -> 28 [size =\"41132032\"]\n  20 -> 29 [size =\"41132032\"]\n  20 -> 32 [size =\"41132032\"]\n  20 -> 35 [size =\"41132032\"]\n  21 [size=\"26781696\", alpha=\"0.06\", expect_size=\"13390848\"] \n  21 -> 24 [size =\"13390848\"]\n  21 -> 32 [size =\"13390848\"]\n  21 -> 33 [size =\"13390848\"]\n  21 -> 35 [size =\"13390848\"]\n  21 -> 36 [size =\"13390848\"]\n  21 -> 37 [size =\"13390848\"]\n  22 [size=\"37916672\", alpha=\"0.10\", expect_size=\"18958336\"] \n  22 -> 24 [size =\"18958336\"]\n  22 -> 25 [size =\"18958336\"]\n  22 -> 28 [size =\"18958336\"]\n  22 -> 32 [size =\"18958336\"]\n  22 -> 35 [size =\"18958336\"]\n  23 [size=\"55244800\", alpha=\"0.10\", expect_size=\"27622400\"] \n  23 -> 25 [size =\"27622400\"]\n  23 -> 32 [size =\"27622400\"]\n  24 [size=\"66586624\", alpha=\"0.15\", expect_size=\"33293312\"] \n  25 [size=\"43579392\", alpha=\"0.06\", expect_size=\"21789696\"] \n  26 [size=\"88977408\", alpha=\"0.07\", expect_size=\"44488704\"] \n  26 -> 39 [size =\"44488704\"]\n  27 [size=\"76836864\", alpha=\"0.16\", expect_size=\"38418432\"] \n  28 [size=\"16773120\", alpha=\"0.12\", expect_size=\"8386560\"] \n  29 [size=\"99246080\", alpha=\"0.12\", expect_size=\"49623040\"] \n  29 -> 40 [size =\"49623040\"]\n  30 [size=\"36253696\", alpha=\"0.01\", expect_size=\"18126848\"] \n  31 [size=\"72034304\", alpha=\"0.18\", expect_size=\"36017152\"] \n  31 -> 39 [size =\"36017152\"]\n  32 [size=\"99268608\", alpha=\"0.20\", expect_size=\"49634304\"] \n  32 -> 38 [size =\"49634304\"]\n  32 -> 40 [size =\"49634304\"]\n  33 [size=\"50485248\", alpha=\"0.16\", expect_size=\"25242624\"] \n  33 -> 39 [size =\"25242624\"]\n  34 [size=\"95920128\", alpha=\"0.03\", expect_size=\"47960064\"] \n  34 -> 39 [size =\"47960064\"]\n  35 [size=\"72353792\", alpha=\"0.10\", expect_size=\"36176896\"] \n  35 -> 40 [size =\"36176896\"]\n  36 [size=\"103018496\", alpha=\"0.17\", expect_size=\"51509248\"] \n  36 -> 40 [size =\"51509248\"]\n  37 [size=\"43794432\", alpha=\"0.17\", expect_size=\"21897216\"] \n  37 -> 39 [size =\"21897216\"]\n  38 [size=\"25550848\", alpha=\"0.06\", expect_size=\"12775424\"] \n  39 [size=\"80869376\", alpha=\"0.15\", expect_size=\"40434688\"] \n  40 [size=\"43347968\", alpha=\"0.20\", expect_size=\"21673984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58112000\", alpha=\"0.17\", expect_size=\"23244800\"] \n  1 -> 6 [size =\"23244800\"]\n  1 -> 7 [size =\"23244800\"]\n  1 -> 8 [size =\"23244800\"]\n  1 -> 10 [size =\"23244800\"]\n  2 [size=\"86743040\", alpha=\"0.05\", expect_size=\"34697216\"] \n  2 -> 6 [size =\"34697216\"]\n  2 -> 8 [size =\"34697216\"]\n  2 -> 10 [size =\"34697216\"]\n  3 [size=\"58536960\", alpha=\"0.17\", expect_size=\"23414784\"] \n  3 -> 6 [size =\"23414784\"]\n  3 -> 8 [size =\"23414784\"]\n  3 -> 11 [size =\"23414784\"]\n  4 [size=\"63267840\", alpha=\"0.12\", expect_size=\"25307136\"] \n  4 -> 7 [size =\"25307136\"]\n  5 [size=\"93918720\", alpha=\"0.16\", expect_size=\"37567488\"] \n  5 -> 8 [size =\"37567488\"]\n  5 -> 9 [size =\"37567488\"]\n  5 -> 11 [size =\"37567488\"]\n  6 [size=\"79411200\", alpha=\"0.11\", expect_size=\"31764480\"] \n  6 -> 13 [size =\"31764480\"]\n  6 -> 14 [size =\"31764480\"]\n  6 -> 16 [size =\"31764480\"]\n  7 [size=\"49354240\", alpha=\"0.15\", expect_size=\"19741696\"] \n  7 -> 13 [size =\"19741696\"]\n  7 -> 14 [size =\"19741696\"]\n  7 -> 16 [size =\"19741696\"]\n  7 -> 17 [size =\"19741696\"]\n  8 [size=\"77557760\", alpha=\"0.01\", expect_size=\"31023104\"] \n  8 -> 13 [size =\"31023104\"]\n  8 -> 15 [size =\"31023104\"]\n  8 -> 17 [size =\"31023104\"]\n  9 [size=\"71014400\", alpha=\"0.06\", expect_size=\"28405760\"] \n  9 -> 12 [size =\"28405760\"]\n  9 -> 14 [size =\"28405760\"]\n  10 [size=\"83197440\", alpha=\"0.13\", expect_size=\"33278976\"] \n  10 -> 12 [size =\"33278976\"]\n  10 -> 14 [size =\"33278976\"]\n  11 [size=\"73664000\", alpha=\"0.00\", expect_size=\"29465600\"] \n  11 -> 12 [size =\"29465600\"]\n  12 [size=\"55063040\", alpha=\"0.09\", expect_size=\"22025216\"] \n  12 -> 20 [size =\"22025216\"]\n  12 -> 20 [size =\"22025216\"]\n  12 -> 22 [size =\"22025216\"]\n  13 [size=\"83678720\", alpha=\"0.12\", expect_size=\"33471488\"] \n  13 -> 19 [size =\"33471488\"]\n  13 -> 21 [size =\"33471488\"]\n  14 [size=\"66634240\", alpha=\"0.16\", expect_size=\"26653696\"] \n  14 -> 18 [size =\"26653696\"]\n  14 -> 20 [size =\"26653696\"]\n  14 -> 22 [size =\"26653696\"]\n  15 [size=\"21754880\", alpha=\"0.18\", expect_size=\"8701952\"] \n  15 -> 18 [size =\"8701952\"]\n  15 -> 22 [size =\"8701952\"]\n  16 [size=\"117660160\", alpha=\"0.04\", expect_size=\"47064064\"] \n  16 -> 20 [size =\"47064064\"]\n  17 [size=\"63193600\", alpha=\"0.17\", expect_size=\"25277440\"] \n  17 -> 18 [size =\"25277440\"]\n  17 -> 20 [size =\"25277440\"]\n  17 -> 22 [size =\"25277440\"]\n  18 [size=\"35722240\", alpha=\"0.07\", expect_size=\"14288896\"] \n  18 -> 23 [size =\"14288896\"]\n  19 [size=\"43624960\", alpha=\"0.13\", expect_size=\"17449984\"] \n  19 -> 24 [size =\"17449984\"]\n  19 -> 25 [size =\"17449984\"]\n  19 -> 27 [size =\"17449984\"]\n  20 [size=\"78090240\", alpha=\"0.11\", expect_size=\"31236096\"] \n  20 -> 23 [size =\"31236096\"]\n  20 -> 27 [size =\"31236096\"]\n  21 [size=\"36590080\", alpha=\"0.16\", expect_size=\"14636032\"] \n  21 -> 27 [size =\"14636032\"]\n  22 [size=\"36797440\", alpha=\"0.13\", expect_size=\"14718976\"] \n  22 -> 25 [size =\"14718976\"]\n  22 -> 26 [size =\"14718976\"]\n  22 -> 27 [size =\"14718976\"]\n  23 [size=\"88481280\", alpha=\"0.19\", expect_size=\"35392512\"] \n  23 -> 30 [size =\"35392512\"]\n  23 -> 31 [size =\"35392512\"]\n  23 -> 33 [size =\"35392512\"]\n  24 [size=\"42859520\", alpha=\"0.12\", expect_size=\"17143808\"] \n  24 -> 30 [size =\"17143808\"]\n  24 -> 31 [size =\"17143808\"]\n  24 -> 32 [size =\"17143808\"]\n  25 [size=\"17884160\", alpha=\"0.20\", expect_size=\"7153664\"] \n  25 -> 28 [size =\"7153664\"]\n  25 -> 29 [size =\"7153664\"]\n  25 -> 30 [size =\"7153664\"]\n  25 -> 33 [size =\"7153664\"]\n  26 [size=\"126336000\", alpha=\"0.19\", expect_size=\"50534400\"] \n  26 -> 28 [size =\"50534400\"]\n  26 -> 29 [size =\"50534400\"]\n  26 -> 31 [size =\"50534400\"]\n  26 -> 33 [size =\"50534400\"]\n  27 [size=\"33461760\", alpha=\"0.03\", expect_size=\"13384704\"] \n  27 -> 29 [size =\"13384704\"]\n  27 -> 31 [size =\"13384704\"]\n  27 -> 32 [size =\"13384704\"]\n  28 [size=\"16145920\", alpha=\"0.19\", expect_size=\"6458368\"] \n  28 -> 34 [size =\"6458368\"]\n  28 -> 36 [size =\"6458368\"]\n  28 -> 38 [size =\"6458368\"]\n  29 [size=\"59415040\", alpha=\"0.05\", expect_size=\"23766016\"] \n  29 -> 36 [size =\"23766016\"]\n  29 -> 38 [size =\"23766016\"]\n  30 [size=\"19694080\", alpha=\"0.02\", expect_size=\"7877632\"] \n  30 -> 37 [size =\"7877632\"]\n  30 -> 38 [size =\"7877632\"]\n  31 [size=\"82897920\", alpha=\"0.10\", expect_size=\"33159168\"] \n  31 -> 36 [size =\"33159168\"]\n  31 -> 37 [size =\"33159168\"]\n  32 [size=\"58106880\", alpha=\"0.05\", expect_size=\"23242752\"] \n  32 -> 34 [size =\"23242752\"]\n  33 [size=\"18954240\", alpha=\"0.12\", expect_size=\"7581696\"] \n  33 -> 34 [size =\"7581696\"]\n  33 -> 35 [size =\"7581696\"]\n  33 -> 36 [size =\"7581696\"]\n  33 -> 37 [size =\"7581696\"]\n  34 [size=\"128837120\", alpha=\"0.08\", expect_size=\"51534848\"] \n  35 [size=\"84024320\", alpha=\"0.05\", expect_size=\"33609728\"] \n  35 -> 39 [size =\"33609728\"]\n  36 [size=\"83289600\", alpha=\"0.00\", expect_size=\"33315840\"] \n  36 -> 39 [size =\"33315840\"]\n  37 [size=\"74977280\", alpha=\"0.04\", expect_size=\"29990912\"] \n  38 [size=\"95329280\", alpha=\"0.11\", expect_size=\"38131712\"] \n  38 -> 39 [size =\"38131712\"]\n  38 -> 40 [size =\"38131712\"]\n  39 [size=\"90839040\", alpha=\"0.04\", expect_size=\"36335616\"] \n  40 [size=\"119411200\", alpha=\"0.07\", expect_size=\"47764480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93777920\", alpha=\"0.19\", expect_size=\"46888960\"] \n  1 -> 28 [size =\"46888960\"]\n  1 -> 33 [size =\"46888960\"]\n  1 -> 38 [size =\"46888960\"]\n  1 -> 40 [size =\"46888960\"]\n  2 [size=\"58710016\", alpha=\"0.10\", expect_size=\"29355008\"] \n  2 -> 28 [size =\"29355008\"]\n  2 -> 30 [size =\"29355008\"]\n  3 [size=\"103393280\", alpha=\"0.07\", expect_size=\"51696640\"] \n  3 -> 28 [size =\"51696640\"]\n  3 -> 30 [size =\"51696640\"]\n  3 -> 33 [size =\"51696640\"]\n  3 -> 37 [size =\"51696640\"]\n  3 -> 39 [size =\"51696640\"]\n  4 [size=\"99043328\", alpha=\"0.07\", expect_size=\"49521664\"] \n  4 -> 28 [size =\"49521664\"]\n  4 -> 31 [size =\"49521664\"]\n  4 -> 38 [size =\"49521664\"]\n  4 -> 40 [size =\"49521664\"]\n  5 [size=\"91340800\", alpha=\"0.04\", expect_size=\"45670400\"] \n  5 -> 28 [size =\"45670400\"]\n  5 -> 30 [size =\"45670400\"]\n  5 -> 31 [size =\"45670400\"]\n  5 -> 33 [size =\"45670400\"]\n  5 -> 35 [size =\"45670400\"]\n  5 -> 38 [size =\"45670400\"]\n  5 -> 40 [size =\"45670400\"]\n  6 [size=\"99184640\", alpha=\"0.19\", expect_size=\"49592320\"] \n  6 -> 30 [size =\"49592320\"]\n  6 -> 30 [size =\"49592320\"]\n  6 -> 31 [size =\"49592320\"]\n  6 -> 34 [size =\"49592320\"]\n  6 -> 35 [size =\"49592320\"]\n  6 -> 36 [size =\"49592320\"]\n  6 -> 39 [size =\"49592320\"]\n  7 [size=\"87226368\", alpha=\"0.14\", expect_size=\"43613184\"] \n  7 -> 30 [size =\"43613184\"]\n  7 -> 33 [size =\"43613184\"]\n  7 -> 34 [size =\"43613184\"]\n  7 -> 35 [size =\"43613184\"]\n  7 -> 36 [size =\"43613184\"]\n  7 -> 36 [size =\"43613184\"]\n  7 -> 38 [size =\"43613184\"]\n  7 -> 40 [size =\"43613184\"]\n  8 [size=\"37324800\", alpha=\"0.20\", expect_size=\"18662400\"] \n  8 -> 28 [size =\"18662400\"]\n  8 -> 31 [size =\"18662400\"]\n  8 -> 36 [size =\"18662400\"]\n  8 -> 37 [size =\"18662400\"]\n  8 -> 38 [size =\"18662400\"]\n  8 -> 39 [size =\"18662400\"]\n  8 -> 40 [size =\"18662400\"]\n  8 -> 40 [size =\"18662400\"]\n  9 [size=\"29638656\", alpha=\"0.09\", expect_size=\"14819328\"] \n  9 -> 28 [size =\"14819328\"]\n  9 -> 31 [size =\"14819328\"]\n  9 -> 34 [size =\"14819328\"]\n  9 -> 38 [size =\"14819328\"]\n  9 -> 40 [size =\"14819328\"]\n  10 [size=\"71403520\", alpha=\"0.19\", expect_size=\"35701760\"] \n  10 -> 28 [size =\"35701760\"]\n  10 -> 30 [size =\"35701760\"]\n  10 -> 33 [size =\"35701760\"]\n  10 -> 34 [size =\"35701760\"]\n  10 -> 36 [size =\"35701760\"]\n  10 -> 40 [size =\"35701760\"]\n  11 [size=\"49231872\", alpha=\"0.16\", expect_size=\"24615936\"] \n  11 -> 28 [size =\"24615936\"]\n  11 -> 32 [size =\"24615936\"]\n  11 -> 33 [size =\"24615936\"]\n  11 -> 36 [size =\"24615936\"]\n  11 -> 40 [size =\"24615936\"]\n  12 [size=\"45899776\", alpha=\"0.07\", expect_size=\"22949888\"] \n  12 -> 30 [size =\"22949888\"]\n  12 -> 33 [size =\"22949888\"]\n  12 -> 38 [size =\"22949888\"]\n  12 -> 40 [size =\"22949888\"]\n  13 [size=\"93210624\", alpha=\"0.08\", expect_size=\"46605312\"] \n  13 -> 30 [size =\"46605312\"]\n  13 -> 35 [size =\"46605312\"]\n  14 [size=\"32043008\", alpha=\"0.12\", expect_size=\"16021504\"] \n  14 -> 28 [size =\"16021504\"]\n  14 -> 31 [size =\"16021504\"]\n  14 -> 36 [size =\"16021504\"]\n  15 [size=\"63657984\", alpha=\"0.14\", expect_size=\"31828992\"] \n  15 -> 30 [size =\"31828992\"]\n  15 -> 31 [size =\"31828992\"]\n  15 -> 34 [size =\"31828992\"]\n  15 -> 35 [size =\"31828992\"]\n  15 -> 36 [size =\"31828992\"]\n  15 -> 39 [size =\"31828992\"]\n  16 [size=\"83054592\", alpha=\"0.15\", expect_size=\"41527296\"] \n  16 -> 28 [size =\"41527296\"]\n  16 -> 31 [size =\"41527296\"]\n  16 -> 35 [size =\"41527296\"]\n  16 -> 36 [size =\"41527296\"]\n  17 [size=\"76226560\", alpha=\"0.09\", expect_size=\"38113280\"] \n  17 -> 28 [size =\"38113280\"]\n  17 -> 36 [size =\"38113280\"]\n  18 [size=\"47931392\", alpha=\"0.14\", expect_size=\"23965696\"] \n  18 -> 31 [size =\"23965696\"]\n  18 -> 32 [size =\"23965696\"]\n  18 -> 33 [size =\"23965696\"]\n  18 -> 34 [size =\"23965696\"]\n  18 -> 36 [size =\"23965696\"]\n  19 [size=\"45578240\", alpha=\"0.14\", expect_size=\"22789120\"] \n  19 -> 30 [size =\"22789120\"]\n  19 -> 32 [size =\"22789120\"]\n  19 -> 33 [size =\"22789120\"]\n  19 -> 34 [size =\"22789120\"]\n  19 -> 35 [size =\"22789120\"]\n  19 -> 36 [size =\"22789120\"]\n  19 -> 40 [size =\"22789120\"]\n  20 [size=\"85809152\", alpha=\"0.19\", expect_size=\"42904576\"] \n  20 -> 28 [size =\"42904576\"]\n  20 -> 33 [size =\"42904576\"]\n  20 -> 34 [size =\"42904576\"]\n  20 -> 40 [size =\"42904576\"]\n  21 [size=\"79970304\", alpha=\"0.01\", expect_size=\"39985152\"] \n  21 -> 32 [size =\"39985152\"]\n  21 -> 33 [size =\"39985152\"]\n  21 -> 34 [size =\"39985152\"]\n  21 -> 38 [size =\"39985152\"]\n  22 [size=\"60887040\", alpha=\"0.13\", expect_size=\"30443520\"] \n  22 -> 30 [size =\"30443520\"]\n  22 -> 33 [size =\"30443520\"]\n  22 -> 34 [size =\"30443520\"]\n  22 -> 38 [size =\"30443520\"]\n  22 -> 40 [size =\"30443520\"]\n  23 [size=\"95715328\", alpha=\"0.05\", expect_size=\"47857664\"] \n  23 -> 32 [size =\"47857664\"]\n  23 -> 33 [size =\"47857664\"]\n  23 -> 34 [size =\"47857664\"]\n  24 [size=\"37566464\", alpha=\"0.15\", expect_size=\"18783232\"] \n  24 -> 30 [size =\"18783232\"]\n  24 -> 32 [size =\"18783232\"]\n  24 -> 36 [size =\"18783232\"]\n  25 [size=\"95438848\", alpha=\"0.03\", expect_size=\"47719424\"] \n  25 -> 28 [size =\"47719424\"]\n  25 -> 33 [size =\"47719424\"]\n  25 -> 36 [size =\"47719424\"]\n  25 -> 38 [size =\"47719424\"]\n  25 -> 40 [size =\"47719424\"]\n  26 [size=\"66764800\", alpha=\"0.10\", expect_size=\"33382400\"] \n  26 -> 31 [size =\"33382400\"]\n  26 -> 33 [size =\"33382400\"]\n  26 -> 39 [size =\"33382400\"]\n  26 -> 40 [size =\"33382400\"]\n  27 [size=\"42610688\", alpha=\"0.13\", expect_size=\"21305344\"] \n  27 -> 29 [size =\"21305344\"]\n  27 -> 32 [size =\"21305344\"]\n  27 -> 33 [size =\"21305344\"]\n  27 -> 36 [size =\"21305344\"]\n  27 -> 38 [size =\"21305344\"]\n  28 [size=\"86720512\", alpha=\"0.01\", expect_size=\"43360256\"] \n  29 [size=\"58472448\", alpha=\"0.14\", expect_size=\"29236224\"] \n  30 [size=\"31023104\", alpha=\"0.19\", expect_size=\"15511552\"] \n  31 [size=\"24152064\", alpha=\"0.13\", expect_size=\"12076032\"] \n  32 [size=\"26779648\", alpha=\"0.15\", expect_size=\"13389824\"] \n  33 [size=\"87128064\", alpha=\"0.13\", expect_size=\"43564032\"] \n  34 [size=\"14989312\", alpha=\"0.17\", expect_size=\"7494656\"] \n  35 [size=\"87668736\", alpha=\"0.11\", expect_size=\"43834368\"] \n  36 [size=\"102905856\", alpha=\"0.01\", expect_size=\"51452928\"] \n  37 [size=\"55027712\", alpha=\"0.05\", expect_size=\"27513856\"] \n  38 [size=\"20774912\", alpha=\"0.17\", expect_size=\"10387456\"] \n  39 [size=\"26986496\", alpha=\"0.16\", expect_size=\"13493248\"] \n  40 [size=\"92819456\", alpha=\"0.12\", expect_size=\"46409728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104179712\", alpha=\"0.17\", expect_size=\"52089856\"] \n  1 -> 32 [size =\"52089856\"]\n  1 -> 37 [size =\"52089856\"]\n  1 -> 40 [size =\"52089856\"]\n  2 [size=\"100935680\", alpha=\"0.12\", expect_size=\"50467840\"] \n  2 -> 37 [size =\"50467840\"]\n  3 [size=\"67317760\", alpha=\"0.17\", expect_size=\"33658880\"] \n  3 -> 37 [size =\"33658880\"]\n  3 -> 39 [size =\"33658880\"]\n  4 [size=\"83152896\", alpha=\"0.19\", expect_size=\"41576448\"] \n  4 -> 33 [size =\"41576448\"]\n  4 -> 34 [size =\"41576448\"]\n  4 -> 39 [size =\"41576448\"]\n  5 [size=\"43419648\", alpha=\"0.11\", expect_size=\"21709824\"] \n  5 -> 32 [size =\"21709824\"]\n  5 -> 35 [size =\"21709824\"]\n  6 [size=\"55660544\", alpha=\"0.15\", expect_size=\"27830272\"] \n  6 -> 34 [size =\"27830272\"]\n  6 -> 37 [size =\"27830272\"]\n  7 [size=\"101984256\", alpha=\"0.02\", expect_size=\"50992128\"] \n  7 -> 32 [size =\"50992128\"]\n  7 -> 35 [size =\"50992128\"]\n  7 -> 37 [size =\"50992128\"]\n  7 -> 38 [size =\"50992128\"]\n  8 [size=\"14239744\", alpha=\"0.19\", expect_size=\"7119872\"] \n  8 -> 35 [size =\"7119872\"]\n  8 -> 37 [size =\"7119872\"]\n  8 -> 37 [size =\"7119872\"]\n  9 [size=\"70621184\", alpha=\"0.02\", expect_size=\"35310592\"] \n  9 -> 32 [size =\"35310592\"]\n  9 -> 33 [size =\"35310592\"]\n  9 -> 37 [size =\"35310592\"]\n  9 -> 40 [size =\"35310592\"]\n  10 [size=\"85004288\", alpha=\"0.17\", expect_size=\"42502144\"] \n  10 -> 33 [size =\"42502144\"]\n  10 -> 34 [size =\"42502144\"]\n  10 -> 40 [size =\"42502144\"]\n  11 [size=\"93784064\", alpha=\"0.17\", expect_size=\"46892032\"] \n  11 -> 32 [size =\"46892032\"]\n  11 -> 33 [size =\"46892032\"]\n  11 -> 34 [size =\"46892032\"]\n  12 [size=\"78186496\", alpha=\"0.03\", expect_size=\"39093248\"] \n  12 -> 32 [size =\"39093248\"]\n  12 -> 35 [size =\"39093248\"]\n  12 -> 39 [size =\"39093248\"]\n  13 [size=\"39825408\", alpha=\"0.07\", expect_size=\"19912704\"] \n  13 -> 33 [size =\"19912704\"]\n  13 -> 34 [size =\"19912704\"]\n  13 -> 35 [size =\"19912704\"]\n  14 [size=\"27854848\", alpha=\"0.17\", expect_size=\"13927424\"] \n  14 -> 35 [size =\"13927424\"]\n  14 -> 38 [size =\"13927424\"]\n  15 [size=\"22306816\", alpha=\"0.18\", expect_size=\"11153408\"] \n  15 -> 32 [size =\"11153408\"]\n  15 -> 33 [size =\"11153408\"]\n  15 -> 35 [size =\"11153408\"]\n  15 -> 38 [size =\"11153408\"]\n  16 [size=\"76273664\", alpha=\"0.17\", expect_size=\"38136832\"] \n  16 -> 33 [size =\"38136832\"]\n  16 -> 35 [size =\"38136832\"]\n  16 -> 38 [size =\"38136832\"]\n  17 [size=\"53155840\", alpha=\"0.13\", expect_size=\"26577920\"] \n  17 -> 31 [size =\"26577920\"]\n  17 -> 37 [size =\"26577920\"]\n  17 -> 38 [size =\"26577920\"]\n  17 -> 40 [size =\"26577920\"]\n  18 [size=\"63565824\", alpha=\"0.18\", expect_size=\"31782912\"] \n  18 -> 37 [size =\"31782912\"]\n  18 -> 37 [size =\"31782912\"]\n  19 [size=\"57833472\", alpha=\"0.06\", expect_size=\"28916736\"] \n  19 -> 32 [size =\"28916736\"]\n  19 -> 37 [size =\"28916736\"]\n  19 -> 38 [size =\"28916736\"]\n  20 [size=\"69007360\", alpha=\"0.05\", expect_size=\"34503680\"] \n  20 -> 32 [size =\"34503680\"]\n  20 -> 36 [size =\"34503680\"]\n  20 -> 37 [size =\"34503680\"]\n  21 [size=\"54743040\", alpha=\"0.05\", expect_size=\"27371520\"] \n  21 -> 32 [size =\"27371520\"]\n  21 -> 33 [size =\"27371520\"]\n  21 -> 37 [size =\"27371520\"]\n  21 -> 39 [size =\"27371520\"]\n  22 [size=\"40704000\", alpha=\"0.03\", expect_size=\"20352000\"] \n  22 -> 32 [size =\"20352000\"]\n  22 -> 33 [size =\"20352000\"]\n  22 -> 35 [size =\"20352000\"]\n  23 [size=\"54659072\", alpha=\"0.14\", expect_size=\"27329536\"] \n  23 -> 33 [size =\"27329536\"]\n  23 -> 34 [size =\"27329536\"]\n  23 -> 35 [size =\"27329536\"]\n  23 -> 37 [size =\"27329536\"]\n  23 -> 38 [size =\"27329536\"]\n  23 -> 39 [size =\"27329536\"]\n  24 [size=\"86401024\", alpha=\"0.20\", expect_size=\"43200512\"] \n  24 -> 32 [size =\"43200512\"]\n  24 -> 33 [size =\"43200512\"]\n  24 -> 34 [size =\"43200512\"]\n  24 -> 35 [size =\"43200512\"]\n  24 -> 36 [size =\"43200512\"]\n  24 -> 38 [size =\"43200512\"]\n  25 [size=\"74510336\", alpha=\"0.13\", expect_size=\"37255168\"] \n  25 -> 32 [size =\"37255168\"]\n  25 -> 34 [size =\"37255168\"]\n  25 -> 35 [size =\"37255168\"]\n  25 -> 35 [size =\"37255168\"]\n  25 -> 38 [size =\"37255168\"]\n  25 -> 38 [size =\"37255168\"]\n  26 [size=\"63510528\", alpha=\"0.15\", expect_size=\"31755264\"] \n  26 -> 32 [size =\"31755264\"]\n  26 -> 34 [size =\"31755264\"]\n  26 -> 35 [size =\"31755264\"]\n  26 -> 37 [size =\"31755264\"]\n  26 -> 38 [size =\"31755264\"]\n  26 -> 40 [size =\"31755264\"]\n  27 [size=\"47196160\", alpha=\"0.17\", expect_size=\"23598080\"] \n  27 -> 32 [size =\"23598080\"]\n  27 -> 34 [size =\"23598080\"]\n  27 -> 37 [size =\"23598080\"]\n  27 -> 38 [size =\"23598080\"]\n  28 [size=\"16125952\", alpha=\"0.20\", expect_size=\"8062976\"] \n  28 -> 32 [size =\"8062976\"]\n  28 -> 33 [size =\"8062976\"]\n  28 -> 38 [size =\"8062976\"]\n  28 -> 39 [size =\"8062976\"]\n  29 [size=\"98992128\", alpha=\"0.15\", expect_size=\"49496064\"] \n  29 -> 32 [size =\"49496064\"]\n  29 -> 33 [size =\"49496064\"]\n  29 -> 35 [size =\"49496064\"]\n  30 [size=\"32550912\", alpha=\"0.06\", expect_size=\"16275456\"] \n  30 -> 32 [size =\"16275456\"]\n  30 -> 37 [size =\"16275456\"]\n  31 [size=\"57911296\", alpha=\"0.15\", expect_size=\"28955648\"] \n  32 [size=\"80021504\", alpha=\"0.18\", expect_size=\"40010752\"] \n  33 [size=\"94961664\", alpha=\"0.08\", expect_size=\"47480832\"] \n  34 [size=\"65193984\", alpha=\"0.01\", expect_size=\"32596992\"] \n  35 [size=\"63387648\", alpha=\"0.16\", expect_size=\"31693824\"] \n  36 [size=\"28104704\", alpha=\"0.06\", expect_size=\"14052352\"] \n  37 [size=\"98891776\", alpha=\"0.05\", expect_size=\"49445888\"] \n  38 [size=\"84135936\", alpha=\"0.14\", expect_size=\"42067968\"] \n  39 [size=\"81963008\", alpha=\"0.14\", expect_size=\"40981504\"] \n  40 [size=\"58136576\", alpha=\"0.07\", expect_size=\"29068288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86278827\", alpha=\"0.17\", expect_size=\"25883648\"] \n  2 [size=\"30190933\", alpha=\"0.19\", expect_size=\"9057280\"] \n  2 -> 3 [size =\"9057280\"]\n  2 -> 4 [size =\"9057280\"]\n  3 [size=\"98901333\", alpha=\"0.13\", expect_size=\"29670400\"] \n  3 -> 6 [size =\"29670400\"]\n  4 [size=\"158877013\", alpha=\"0.16\", expect_size=\"47663104\"] \n  4 -> 5 [size =\"47663104\"]\n  4 -> 7 [size =\"47663104\"]\n  5 [size=\"65245867\", alpha=\"0.04\", expect_size=\"19573760\"] \n  5 -> 8 [size =\"19573760\"]\n  6 [size=\"135400107\", alpha=\"0.16\", expect_size=\"40620032\"] \n  7 [size=\"157590187\", alpha=\"0.14\", expect_size=\"47277056\"] \n  7 -> 8 [size =\"47277056\"]\n  7 -> 9 [size =\"47277056\"]\n  8 [size=\"81588907\", alpha=\"0.08\", expect_size=\"24476672\"] \n  8 -> 10 [size =\"24476672\"]\n  8 -> 12 [size =\"24476672\"]\n  9 [size=\"137516373\", alpha=\"0.10\", expect_size=\"41254912\"] \n  9 -> 11 [size =\"41254912\"]\n  10 [size=\"111981227\", alpha=\"0.07\", expect_size=\"33594368\"] \n  10 -> 13 [size =\"33594368\"]\n  10 -> 14 [size =\"33594368\"]\n  10 -> 15 [size =\"33594368\"]\n  11 [size=\"100304213\", alpha=\"0.17\", expect_size=\"30091264\"] \n  12 [size=\"73082880\", alpha=\"0.10\", expect_size=\"21924864\"] \n  12 -> 13 [size =\"21924864\"]\n  12 -> 15 [size =\"21924864\"]\n  13 [size=\"65027413\", alpha=\"0.15\", expect_size=\"19508224\"] \n  13 -> 17 [size =\"19508224\"]\n  14 [size=\"169332053\", alpha=\"0.07\", expect_size=\"50799616\"] \n  14 -> 17 [size =\"50799616\"]\n  15 [size=\"138769067\", alpha=\"0.15\", expect_size=\"41630720\"] \n  15 -> 16 [size =\"41630720\"]\n  15 -> 18 [size =\"41630720\"]\n  16 [size=\"170536960\", alpha=\"0.12\", expect_size=\"51161088\"] \n  16 -> 20 [size =\"51161088\"]\n  17 [size=\"139199147\", alpha=\"0.03\", expect_size=\"41759744\"] \n  17 -> 19 [size =\"41759744\"]\n  17 -> 20 [size =\"41759744\"]\n  17 -> 21 [size =\"41759744\"]\n  18 [size=\"92327253\", alpha=\"0.08\", expect_size=\"27698176\"] \n  18 -> 19 [size =\"27698176\"]\n  18 -> 21 [size =\"27698176\"]\n  19 [size=\"157897387\", alpha=\"0.11\", expect_size=\"47369216\"] \n  20 [size=\"81319253\", alpha=\"0.14\", expect_size=\"24395776\"] \n  20 -> 23 [size =\"24395776\"]\n  20 -> 24 [size =\"24395776\"]\n  21 [size=\"136151040\", alpha=\"0.07\", expect_size=\"40845312\"] \n  21 -> 22 [size =\"40845312\"]\n  21 -> 24 [size =\"40845312\"]\n  22 [size=\"114169173\", alpha=\"0.01\", expect_size=\"34250752\"] \n  22 -> 25 [size =\"34250752\"]\n  22 -> 26 [size =\"34250752\"]\n  23 [size=\"32395947\", alpha=\"0.05\", expect_size=\"9718784\"] \n  24 [size=\"153384960\", alpha=\"0.08\", expect_size=\"46015488\"] \n  24 -> 26 [size =\"46015488\"]\n  25 [size=\"48749227\", alpha=\"0.16\", expect_size=\"14624768\"] \n  25 -> 28 [size =\"14624768\"]\n  25 -> 29 [size =\"14624768\"]\n  26 [size=\"168707413\", alpha=\"0.19\", expect_size=\"50612224\"] \n  26 -> 27 [size =\"50612224\"]\n  27 [size=\"107659947\", alpha=\"0.01\", expect_size=\"32297984\"] \n  28 [size=\"133785600\", alpha=\"0.10\", expect_size=\"40135680\"] \n  28 -> 31 [size =\"40135680\"]\n  29 [size=\"40396800\", alpha=\"0.15\", expect_size=\"12119040\"] \n  29 -> 30 [size =\"12119040\"]\n  30 [size=\"125484373\", alpha=\"0.11\", expect_size=\"37645312\"] \n  30 -> 32 [size =\"37645312\"]\n  30 -> 34 [size =\"37645312\"]\n  31 [size=\"81899520\", alpha=\"0.18\", expect_size=\"24569856\"] \n  31 -> 33 [size =\"24569856\"]\n  32 [size=\"135738027\", alpha=\"0.13\", expect_size=\"40721408\"] \n  32 -> 35 [size =\"40721408\"]\n  32 -> 36 [size =\"40721408\"]\n  33 [size=\"142428160\", alpha=\"0.13\", expect_size=\"42728448\"] \n  34 [size=\"26105173\", alpha=\"0.13\", expect_size=\"7831552\"] \n  34 -> 36 [size =\"7831552\"]\n  35 [size=\"85459627\", alpha=\"0.08\", expect_size=\"25637888\"] \n  36 [size=\"53695147\", alpha=\"0.02\", expect_size=\"16108544\"] \n  36 -> 37 [size =\"16108544\"]\n  36 -> 38 [size =\"16108544\"]\n  36 -> 39 [size =\"16108544\"]\n  37 [size=\"48732160\", alpha=\"0.12\", expect_size=\"14619648\"] \n  38 [size=\"53398187\", alpha=\"0.12\", expect_size=\"16019456\"] \n  38 -> 40 [size =\"16019456\"]\n  39 [size=\"131809280\", alpha=\"0.09\", expect_size=\"39542784\"] \n  39 -> 40 [size =\"39542784\"]\n  40 [size=\"89436160\", alpha=\"0.15\", expect_size=\"26830848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65136640\", alpha=\"0.05\", expect_size=\"32568320\"] \n  1 -> 14 [size =\"32568320\"]\n  1 -> 15 [size =\"32568320\"]\n  1 -> 19 [size =\"32568320\"]\n  1 -> 22 [size =\"32568320\"]\n  1 -> 23 [size =\"32568320\"]\n  2 [size=\"84428800\", alpha=\"0.01\", expect_size=\"42214400\"] \n  2 -> 14 [size =\"42214400\"]\n  2 -> 15 [size =\"42214400\"]\n  2 -> 17 [size =\"42214400\"]\n  2 -> 18 [size =\"42214400\"]\n  2 -> 20 [size =\"42214400\"]\n  2 -> 23 [size =\"42214400\"]\n  2 -> 24 [size =\"42214400\"]\n  3 [size=\"97579008\", alpha=\"0.03\", expect_size=\"48789504\"] \n  3 -> 15 [size =\"48789504\"]\n  3 -> 16 [size =\"48789504\"]\n  3 -> 18 [size =\"48789504\"]\n  3 -> 23 [size =\"48789504\"]\n  4 [size=\"25819136\", alpha=\"0.07\", expect_size=\"12909568\"] \n  4 -> 13 [size =\"12909568\"]\n  4 -> 14 [size =\"12909568\"]\n  4 -> 16 [size =\"12909568\"]\n  4 -> 21 [size =\"12909568\"]\n  5 [size=\"87420928\", alpha=\"0.05\", expect_size=\"43710464\"] \n  5 -> 14 [size =\"43710464\"]\n  5 -> 15 [size =\"43710464\"]\n  5 -> 16 [size =\"43710464\"]\n  5 -> 18 [size =\"43710464\"]\n  5 -> 23 [size =\"43710464\"]\n  5 -> 24 [size =\"43710464\"]\n  5 -> 25 [size =\"43710464\"]\n  6 [size=\"50372608\", alpha=\"0.02\", expect_size=\"25186304\"] \n  6 -> 14 [size =\"25186304\"]\n  6 -> 15 [size =\"25186304\"]\n  6 -> 16 [size =\"25186304\"]\n  6 -> 20 [size =\"25186304\"]\n  6 -> 22 [size =\"25186304\"]\n  6 -> 24 [size =\"25186304\"]\n  7 [size=\"52555776\", alpha=\"0.13\", expect_size=\"26277888\"] \n  7 -> 15 [size =\"26277888\"]\n  7 -> 16 [size =\"26277888\"]\n  7 -> 17 [size =\"26277888\"]\n  7 -> 19 [size =\"26277888\"]\n  7 -> 22 [size =\"26277888\"]\n  7 -> 24 [size =\"26277888\"]\n  8 [size=\"94042112\", alpha=\"0.05\", expect_size=\"47021056\"] \n  8 -> 15 [size =\"47021056\"]\n  8 -> 17 [size =\"47021056\"]\n  8 -> 18 [size =\"47021056\"]\n  8 -> 19 [size =\"47021056\"]\n  8 -> 22 [size =\"47021056\"]\n  8 -> 24 [size =\"47021056\"]\n  9 [size=\"12650496\", alpha=\"0.19\", expect_size=\"6325248\"] \n  9 -> 14 [size =\"6325248\"]\n  9 -> 17 [size =\"6325248\"]\n  9 -> 18 [size =\"6325248\"]\n  9 -> 19 [size =\"6325248\"]\n  9 -> 24 [size =\"6325248\"]\n  9 -> 24 [size =\"6325248\"]\n  10 [size=\"28733440\", alpha=\"0.14\", expect_size=\"14366720\"] \n  10 -> 13 [size =\"14366720\"]\n  10 -> 19 [size =\"14366720\"]\n  10 -> 21 [size =\"14366720\"]\n  11 [size=\"103331840\", alpha=\"0.11\", expect_size=\"51665920\"] \n  11 -> 14 [size =\"51665920\"]\n  11 -> 16 [size =\"51665920\"]\n  11 -> 17 [size =\"51665920\"]\n  11 -> 19 [size =\"51665920\"]\n  12 [size=\"32532480\", alpha=\"0.07\", expect_size=\"16266240\"] \n  12 -> 13 [size =\"16266240\"]\n  12 -> 17 [size =\"16266240\"]\n  12 -> 25 [size =\"16266240\"]\n  13 [size=\"36116480\", alpha=\"0.06\", expect_size=\"18058240\"] \n  13 -> 27 [size =\"18058240\"]\n  13 -> 29 [size =\"18058240\"]\n  13 -> 30 [size =\"18058240\"]\n  13 -> 32 [size =\"18058240\"]\n  13 -> 33 [size =\"18058240\"]\n  13 -> 35 [size =\"18058240\"]\n  14 [size=\"50810880\", alpha=\"0.03\", expect_size=\"25405440\"] \n  14 -> 27 [size =\"25405440\"]\n  14 -> 29 [size =\"25405440\"]\n  14 -> 31 [size =\"25405440\"]\n  14 -> 32 [size =\"25405440\"]\n  14 -> 33 [size =\"25405440\"]\n  14 -> 34 [size =\"25405440\"]\n  14 -> 35 [size =\"25405440\"]\n  14 -> 36 [size =\"25405440\"]\n  15 [size=\"85094400\", alpha=\"0.14\", expect_size=\"42547200\"] \n  15 -> 27 [size =\"42547200\"]\n  15 -> 28 [size =\"42547200\"]\n  15 -> 29 [size =\"42547200\"]\n  15 -> 31 [size =\"42547200\"]\n  15 -> 35 [size =\"42547200\"]\n  15 -> 36 [size =\"42547200\"]\n  15 -> 37 [size =\"42547200\"]\n  16 [size=\"12890112\", alpha=\"0.09\", expect_size=\"6445056\"] \n  16 -> 26 [size =\"6445056\"]\n  16 -> 27 [size =\"6445056\"]\n  16 -> 30 [size =\"6445056\"]\n  16 -> 31 [size =\"6445056\"]\n  16 -> 33 [size =\"6445056\"]\n  16 -> 34 [size =\"6445056\"]\n  16 -> 35 [size =\"6445056\"]\n  16 -> 36 [size =\"6445056\"]\n  17 [size=\"20676608\", alpha=\"0.00\", expect_size=\"10338304\"] \n  17 -> 26 [size =\"10338304\"]\n  17 -> 27 [size =\"10338304\"]\n  17 -> 31 [size =\"10338304\"]\n  17 -> 31 [size =\"10338304\"]\n  17 -> 37 [size =\"10338304\"]\n  17 -> 38 [size =\"10338304\"]\n  18 [size=\"82194432\", alpha=\"0.10\", expect_size=\"41097216\"] \n  18 -> 26 [size =\"41097216\"]\n  18 -> 27 [size =\"41097216\"]\n  18 -> 28 [size =\"41097216\"]\n  18 -> 29 [size =\"41097216\"]\n  18 -> 32 [size =\"41097216\"]\n  18 -> 33 [size =\"41097216\"]\n  18 -> 36 [size =\"41097216\"]\n  18 -> 37 [size =\"41097216\"]\n  19 [size=\"104003584\", alpha=\"0.12\", expect_size=\"52001792\"] \n  19 -> 27 [size =\"52001792\"]\n  19 -> 31 [size =\"52001792\"]\n  19 -> 33 [size =\"52001792\"]\n  19 -> 34 [size =\"52001792\"]\n  19 -> 36 [size =\"52001792\"]\n  19 -> 37 [size =\"52001792\"]\n  20 [size=\"101541888\", alpha=\"0.09\", expect_size=\"50770944\"] \n  20 -> 31 [size =\"50770944\"]\n  20 -> 33 [size =\"50770944\"]\n  20 -> 35 [size =\"50770944\"]\n  20 -> 36 [size =\"50770944\"]\n  20 -> 36 [size =\"50770944\"]\n  21 [size=\"71747584\", alpha=\"0.17\", expect_size=\"35873792\"] \n  21 -> 29 [size =\"35873792\"]\n  21 -> 30 [size =\"35873792\"]\n  21 -> 31 [size =\"35873792\"]\n  21 -> 32 [size =\"35873792\"]\n  21 -> 37 [size =\"35873792\"]\n  21 -> 38 [size =\"35873792\"]\n  22 [size=\"27799552\", alpha=\"0.01\", expect_size=\"13899776\"] \n  22 -> 32 [size =\"13899776\"]\n  22 -> 33 [size =\"13899776\"]\n  22 -> 34 [size =\"13899776\"]\n  22 -> 36 [size =\"13899776\"]\n  22 -> 37 [size =\"13899776\"]\n  23 [size=\"62566400\", alpha=\"0.03\", expect_size=\"31283200\"] \n  23 -> 29 [size =\"31283200\"]\n  23 -> 32 [size =\"31283200\"]\n  23 -> 34 [size =\"31283200\"]\n  23 -> 35 [size =\"31283200\"]\n  23 -> 37 [size =\"31283200\"]\n  24 [size=\"90679296\", alpha=\"0.09\", expect_size=\"45339648\"] \n  24 -> 27 [size =\"45339648\"]\n  24 -> 29 [size =\"45339648\"]\n  24 -> 30 [size =\"45339648\"]\n  24 -> 31 [size =\"45339648\"]\n  24 -> 32 [size =\"45339648\"]\n  24 -> 35 [size =\"45339648\"]\n  24 -> 37 [size =\"45339648\"]\n  25 [size=\"102717440\", alpha=\"0.11\", expect_size=\"51358720\"] \n  25 -> 27 [size =\"51358720\"]\n  25 -> 32 [size =\"51358720\"]\n  25 -> 33 [size =\"51358720\"]\n  25 -> 35 [size =\"51358720\"]\n  25 -> 38 [size =\"51358720\"]\n  26 [size=\"72558592\", alpha=\"0.01\", expect_size=\"36279296\"] \n  26 -> 39 [size =\"36279296\"]\n  27 [size=\"21585920\", alpha=\"0.00\", expect_size=\"10792960\"] \n  27 -> 39 [size =\"10792960\"]\n  27 -> 40 [size =\"10792960\"]\n  28 [size=\"22407168\", alpha=\"0.17\", expect_size=\"11203584\"] \n  28 -> 40 [size =\"11203584\"]\n  29 [size=\"70950912\", alpha=\"0.15\", expect_size=\"35475456\"] \n  29 -> 40 [size =\"35475456\"]\n  30 [size=\"32690176\", alpha=\"0.16\", expect_size=\"16345088\"] \n  30 -> 40 [size =\"16345088\"]\n  31 [size=\"72992768\", alpha=\"0.17\", expect_size=\"36496384\"] \n  31 -> 39 [size =\"36496384\"]\n  32 [size=\"57765888\", alpha=\"0.03\", expect_size=\"28882944\"] \n  32 -> 39 [size =\"28882944\"]\n  33 [size=\"60954624\", alpha=\"0.14\", expect_size=\"30477312\"] \n  33 -> 39 [size =\"30477312\"]\n  33 -> 40 [size =\"30477312\"]\n  34 [size=\"75280384\", alpha=\"0.13\", expect_size=\"37640192\"] \n  34 -> 39 [size =\"37640192\"]\n  34 -> 40 [size =\"37640192\"]\n  35 [size=\"21704704\", alpha=\"0.09\", expect_size=\"10852352\"] \n  35 -> 40 [size =\"10852352\"]\n  36 [size=\"71538688\", alpha=\"0.05\", expect_size=\"35769344\"] \n  36 -> 40 [size =\"35769344\"]\n  37 [size=\"75923456\", alpha=\"0.03\", expect_size=\"37961728\"] \n  38 [size=\"76931072\", alpha=\"0.16\", expect_size=\"38465536\"] \n  38 -> 39 [size =\"38465536\"]\n  38 -> 40 [size =\"38465536\"]\n  39 [size=\"63750144\", alpha=\"0.09\", expect_size=\"31875072\"] \n  40 [size=\"38541312\", alpha=\"0.02\", expect_size=\"19270656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89328640\", alpha=\"0.09\", expect_size=\"35731456\"] \n  1 -> 2 [size =\"35731456\"]\n  2 [size=\"23997440\", alpha=\"0.15\", expect_size=\"9598976\"] \n  2 -> 3 [size =\"9598976\"]\n  3 [size=\"114593280\", alpha=\"0.16\", expect_size=\"45837312\"] \n  3 -> 4 [size =\"45837312\"]\n  4 [size=\"126865920\", alpha=\"0.04\", expect_size=\"50746368\"] \n  4 -> 5 [size =\"50746368\"]\n  5 [size=\"28999680\", alpha=\"0.20\", expect_size=\"11599872\"] \n  5 -> 6 [size =\"11599872\"]\n  6 [size=\"98196480\", alpha=\"0.08\", expect_size=\"39278592\"] \n  6 -> 7 [size =\"39278592\"]\n  7 [size=\"50183680\", alpha=\"0.11\", expect_size=\"20073472\"] \n  7 -> 8 [size =\"20073472\"]\n  8 [size=\"129390080\", alpha=\"0.16\", expect_size=\"51756032\"] \n  8 -> 9 [size =\"51756032\"]\n  9 [size=\"127098880\", alpha=\"0.10\", expect_size=\"50839552\"] \n  9 -> 10 [size =\"50839552\"]\n  10 [size=\"40348160\", alpha=\"0.12\", expect_size=\"16139264\"] \n  10 -> 11 [size =\"16139264\"]\n  11 [size=\"64033280\", alpha=\"0.11\", expect_size=\"25613312\"] \n  11 -> 12 [size =\"25613312\"]\n  12 [size=\"116354560\", alpha=\"0.06\", expect_size=\"46541824\"] \n  12 -> 13 [size =\"46541824\"]\n  13 [size=\"86167040\", alpha=\"0.15\", expect_size=\"34466816\"] \n  13 -> 14 [size =\"34466816\"]\n  14 [size=\"63874560\", alpha=\"0.18\", expect_size=\"25549824\"] \n  14 -> 15 [size =\"25549824\"]\n  15 [size=\"89612800\", alpha=\"0.17\", expect_size=\"35845120\"] \n  15 -> 16 [size =\"35845120\"]\n  16 [size=\"88340480\", alpha=\"0.03\", expect_size=\"35336192\"] \n  16 -> 17 [size =\"35336192\"]\n  17 [size=\"16478720\", alpha=\"0.13\", expect_size=\"6591488\"] \n  17 -> 18 [size =\"6591488\"]\n  18 [size=\"83811840\", alpha=\"0.14\", expect_size=\"33524736\"] \n  18 -> 19 [size =\"33524736\"]\n  19 [size=\"63055360\", alpha=\"0.04\", expect_size=\"25222144\"] \n  19 -> 20 [size =\"25222144\"]\n  20 [size=\"124203520\", alpha=\"0.04\", expect_size=\"49681408\"] \n  20 -> 21 [size =\"49681408\"]\n  21 [size=\"74524160\", alpha=\"0.16\", expect_size=\"29809664\"] \n  21 -> 22 [size =\"29809664\"]\n  22 [size=\"24066560\", alpha=\"0.10\", expect_size=\"9626624\"] \n  22 -> 23 [size =\"9626624\"]\n  23 [size=\"61936640\", alpha=\"0.02\", expect_size=\"24774656\"] \n  23 -> 24 [size =\"24774656\"]\n  24 [size=\"30717440\", alpha=\"0.13\", expect_size=\"12286976\"] \n  24 -> 25 [size =\"12286976\"]\n  25 [size=\"16616960\", alpha=\"0.06\", expect_size=\"6646784\"] \n  25 -> 26 [size =\"6646784\"]\n  26 [size=\"117854720\", alpha=\"0.14\", expect_size=\"47141888\"] \n  26 -> 27 [size =\"47141888\"]\n  27 [size=\"18444800\", alpha=\"0.08\", expect_size=\"7377920\"] \n  27 -> 28 [size =\"7377920\"]\n  28 [size=\"93575680\", alpha=\"0.02\", expect_size=\"37430272\"] \n  28 -> 29 [size =\"37430272\"]\n  29 [size=\"55644160\", alpha=\"0.15\", expect_size=\"22257664\"] \n  29 -> 30 [size =\"22257664\"]\n  30 [size=\"79892480\", alpha=\"0.13\", expect_size=\"31956992\"] \n  30 -> 31 [size =\"31956992\"]\n  31 [size=\"101324800\", alpha=\"0.20\", expect_size=\"40529920\"] \n  31 -> 32 [size =\"40529920\"]\n  32 [size=\"78197760\", alpha=\"0.04\", expect_size=\"31279104\"] \n  32 -> 33 [size =\"31279104\"]\n  33 [size=\"21404160\", alpha=\"0.00\", expect_size=\"8561664\"] \n  33 -> 34 [size =\"8561664\"]\n  34 [size=\"32432640\", alpha=\"0.05\", expect_size=\"12973056\"] \n  34 -> 35 [size =\"12973056\"]\n  35 [size=\"107077120\", alpha=\"0.03\", expect_size=\"42830848\"] \n  35 -> 36 [size =\"42830848\"]\n  36 [size=\"25305600\", alpha=\"0.14\", expect_size=\"10122240\"] \n  36 -> 37 [size =\"10122240\"]\n  37 [size=\"108134400\", alpha=\"0.05\", expect_size=\"43253760\"] \n  37 -> 38 [size =\"43253760\"]\n  38 [size=\"38750720\", alpha=\"0.08\", expect_size=\"15500288\"] \n  38 -> 39 [size =\"15500288\"]\n  39 [size=\"51402240\", alpha=\"0.00\", expect_size=\"20560896\"] \n  39 -> 40 [size =\"20560896\"]\n  40 [size=\"24151040\", alpha=\"0.11\", expect_size=\"9660416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24217600\", alpha=\"0.05\", expect_size=\"12108800\"] \n  1 -> 2 [size =\"12108800\"]\n  2 [size=\"48852992\", alpha=\"0.10\", expect_size=\"24426496\"] \n  2 -> 3 [size =\"24426496\"]\n  3 [size=\"20707328\", alpha=\"0.03\", expect_size=\"10353664\"] \n  3 -> 4 [size =\"10353664\"]\n  4 [size=\"21436416\", alpha=\"0.14\", expect_size=\"10718208\"] \n  4 -> 5 [size =\"10718208\"]\n  5 [size=\"96876544\", alpha=\"0.05\", expect_size=\"48438272\"] \n  5 -> 6 [size =\"48438272\"]\n  6 [size=\"103497728\", alpha=\"0.02\", expect_size=\"51748864\"] \n  6 -> 7 [size =\"51748864\"]\n  7 [size=\"104720384\", alpha=\"0.09\", expect_size=\"52360192\"] \n  7 -> 8 [size =\"52360192\"]\n  8 [size=\"98854912\", alpha=\"0.04\", expect_size=\"49427456\"] \n  8 -> 9 [size =\"49427456\"]\n  9 [size=\"38336512\", alpha=\"0.05\", expect_size=\"19168256\"] \n  9 -> 10 [size =\"19168256\"]\n  10 [size=\"47026176\", alpha=\"0.15\", expect_size=\"23513088\"] \n  10 -> 11 [size =\"23513088\"]\n  11 [size=\"61032448\", alpha=\"0.05\", expect_size=\"30516224\"] \n  11 -> 12 [size =\"30516224\"]\n  12 [size=\"82362368\", alpha=\"0.03\", expect_size=\"41181184\"] \n  12 -> 13 [size =\"41181184\"]\n  13 [size=\"37351424\", alpha=\"0.01\", expect_size=\"18675712\"] \n  13 -> 14 [size =\"18675712\"]\n  14 [size=\"50034688\", alpha=\"0.01\", expect_size=\"25017344\"] \n  14 -> 15 [size =\"25017344\"]\n  15 [size=\"22239232\", alpha=\"0.05\", expect_size=\"11119616\"] \n  15 -> 16 [size =\"11119616\"]\n  16 [size=\"45049856\", alpha=\"0.07\", expect_size=\"22524928\"] \n  16 -> 17 [size =\"22524928\"]\n  17 [size=\"53587968\", alpha=\"0.06\", expect_size=\"26793984\"] \n  17 -> 18 [size =\"26793984\"]\n  18 [size=\"94289920\", alpha=\"0.05\", expect_size=\"47144960\"] \n  18 -> 19 [size =\"47144960\"]\n  19 [size=\"16742400\", alpha=\"0.05\", expect_size=\"8371200\"] \n  19 -> 20 [size =\"8371200\"]\n  20 [size=\"39610368\", alpha=\"0.01\", expect_size=\"19805184\"] \n  20 -> 21 [size =\"19805184\"]\n  21 [size=\"18112512\", alpha=\"0.00\", expect_size=\"9056256\"] \n  21 -> 22 [size =\"9056256\"]\n  22 [size=\"43159552\", alpha=\"0.07\", expect_size=\"21579776\"] \n  22 -> 23 [size =\"21579776\"]\n  23 [size=\"55543808\", alpha=\"0.17\", expect_size=\"27771904\"] \n  23 -> 24 [size =\"27771904\"]\n  24 [size=\"59533312\", alpha=\"0.08\", expect_size=\"29766656\"] \n  24 -> 25 [size =\"29766656\"]\n  25 [size=\"62121984\", alpha=\"0.18\", expect_size=\"31060992\"] \n  25 -> 26 [size =\"31060992\"]\n  26 [size=\"88004608\", alpha=\"0.07\", expect_size=\"44002304\"] \n  26 -> 27 [size =\"44002304\"]\n  27 [size=\"24680448\", alpha=\"0.17\", expect_size=\"12340224\"] \n  27 -> 28 [size =\"12340224\"]\n  28 [size=\"51347456\", alpha=\"0.05\", expect_size=\"25673728\"] \n  28 -> 29 [size =\"25673728\"]\n  29 [size=\"73940992\", alpha=\"0.19\", expect_size=\"36970496\"] \n  29 -> 30 [size =\"36970496\"]\n  30 [size=\"99487744\", alpha=\"0.01\", expect_size=\"49743872\"] \n  30 -> 31 [size =\"49743872\"]\n  31 [size=\"11788288\", alpha=\"0.14\", expect_size=\"5894144\"] \n  31 -> 32 [size =\"5894144\"]\n  32 [size=\"13318144\", alpha=\"0.02\", expect_size=\"6659072\"] \n  32 -> 33 [size =\"6659072\"]\n  33 [size=\"48074752\", alpha=\"0.15\", expect_size=\"24037376\"] \n  33 -> 34 [size =\"24037376\"]\n  34 [size=\"31905792\", alpha=\"0.17\", expect_size=\"15952896\"] \n  34 -> 35 [size =\"15952896\"]\n  35 [size=\"70137856\", alpha=\"0.02\", expect_size=\"35068928\"] \n  35 -> 36 [size =\"35068928\"]\n  36 [size=\"60416000\", alpha=\"0.13\", expect_size=\"30208000\"] \n  36 -> 37 [size =\"30208000\"]\n  37 [size=\"95756288\", alpha=\"0.14\", expect_size=\"47878144\"] \n  37 -> 38 [size =\"47878144\"]\n  38 [size=\"81649664\", alpha=\"0.13\", expect_size=\"40824832\"] \n  38 -> 39 [size =\"40824832\"]\n  39 [size=\"12095488\", alpha=\"0.13\", expect_size=\"6047744\"] \n  39 -> 40 [size =\"6047744\"]\n  40 [size=\"103690240\", alpha=\"0.19\", expect_size=\"51845120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74992640\", alpha=\"0.14\", expect_size=\"29997056\"] \n  1 -> 27 [size =\"29997056\"]\n  1 -> 30 [size =\"29997056\"]\n  1 -> 31 [size =\"29997056\"]\n  1 -> 32 [size =\"29997056\"]\n  1 -> 35 [size =\"29997056\"]\n  1 -> 36 [size =\"29997056\"]\n  1 -> 37 [size =\"29997056\"]\n  1 -> 39 [size =\"29997056\"]\n  1 -> 40 [size =\"29997056\"]\n  2 [size=\"33538560\", alpha=\"0.11\", expect_size=\"13415424\"] \n  2 -> 27 [size =\"13415424\"]\n  2 -> 31 [size =\"13415424\"]\n  2 -> 31 [size =\"13415424\"]\n  2 -> 34 [size =\"13415424\"]\n  2 -> 35 [size =\"13415424\"]\n  2 -> 37 [size =\"13415424\"]\n  2 -> 37 [size =\"13415424\"]\n  2 -> 39 [size =\"13415424\"]\n  2 -> 40 [size =\"13415424\"]\n  3 [size=\"91576320\", alpha=\"0.10\", expect_size=\"36630528\"] \n  3 -> 31 [size =\"36630528\"]\n  3 -> 32 [size =\"36630528\"]\n  3 -> 34 [size =\"36630528\"]\n  3 -> 35 [size =\"36630528\"]\n  3 -> 35 [size =\"36630528\"]\n  3 -> 38 [size =\"36630528\"]\n  3 -> 40 [size =\"36630528\"]\n  4 [size=\"119155200\", alpha=\"0.10\", expect_size=\"47662080\"] \n  4 -> 29 [size =\"47662080\"]\n  4 -> 32 [size =\"47662080\"]\n  4 -> 34 [size =\"47662080\"]\n  4 -> 35 [size =\"47662080\"]\n  4 -> 36 [size =\"47662080\"]\n  4 -> 37 [size =\"47662080\"]\n  4 -> 38 [size =\"47662080\"]\n  4 -> 40 [size =\"47662080\"]\n  5 [size=\"104816640\", alpha=\"0.18\", expect_size=\"41926656\"] \n  5 -> 28 [size =\"41926656\"]\n  5 -> 32 [size =\"41926656\"]\n  5 -> 33 [size =\"41926656\"]\n  5 -> 34 [size =\"41926656\"]\n  5 -> 37 [size =\"41926656\"]\n  5 -> 38 [size =\"41926656\"]\n  6 [size=\"88220160\", alpha=\"0.18\", expect_size=\"35288064\"] \n  6 -> 27 [size =\"35288064\"]\n  6 -> 28 [size =\"35288064\"]\n  6 -> 29 [size =\"35288064\"]\n  6 -> 31 [size =\"35288064\"]\n  6 -> 32 [size =\"35288064\"]\n  6 -> 34 [size =\"35288064\"]\n  6 -> 38 [size =\"35288064\"]\n  6 -> 39 [size =\"35288064\"]\n  7 [size=\"97116160\", alpha=\"0.03\", expect_size=\"38846464\"] \n  7 -> 27 [size =\"38846464\"]\n  7 -> 28 [size =\"38846464\"]\n  7 -> 31 [size =\"38846464\"]\n  7 -> 32 [size =\"38846464\"]\n  7 -> 32 [size =\"38846464\"]\n  7 -> 34 [size =\"38846464\"]\n  7 -> 35 [size =\"38846464\"]\n  7 -> 39 [size =\"38846464\"]\n  7 -> 40 [size =\"38846464\"]\n  8 [size=\"45478400\", alpha=\"0.05\", expect_size=\"18191360\"] \n  8 -> 27 [size =\"18191360\"]\n  8 -> 30 [size =\"18191360\"]\n  8 -> 32 [size =\"18191360\"]\n  8 -> 32 [size =\"18191360\"]\n  8 -> 34 [size =\"18191360\"]\n  8 -> 35 [size =\"18191360\"]\n  8 -> 39 [size =\"18191360\"]\n  8 -> 40 [size =\"18191360\"]\n  9 [size=\"44211200\", alpha=\"0.02\", expect_size=\"17684480\"] \n  9 -> 27 [size =\"17684480\"]\n  9 -> 30 [size =\"17684480\"]\n  9 -> 34 [size =\"17684480\"]\n  9 -> 35 [size =\"17684480\"]\n  9 -> 37 [size =\"17684480\"]\n  9 -> 38 [size =\"17684480\"]\n  9 -> 39 [size =\"17684480\"]\n  9 -> 40 [size =\"17684480\"]\n  10 [size=\"126745600\", alpha=\"0.08\", expect_size=\"50698240\"] \n  10 -> 27 [size =\"50698240\"]\n  10 -> 34 [size =\"50698240\"]\n  10 -> 35 [size =\"50698240\"]\n  10 -> 37 [size =\"50698240\"]\n  10 -> 39 [size =\"50698240\"]\n  11 [size=\"36103680\", alpha=\"0.12\", expect_size=\"14441472\"] \n  11 -> 27 [size =\"14441472\"]\n  11 -> 29 [size =\"14441472\"]\n  11 -> 30 [size =\"14441472\"]\n  11 -> 37 [size =\"14441472\"]\n  11 -> 38 [size =\"14441472\"]\n  11 -> 39 [size =\"14441472\"]\n  12 [size=\"116840960\", alpha=\"0.11\", expect_size=\"46736384\"] \n  12 -> 27 [size =\"46736384\"]\n  12 -> 32 [size =\"46736384\"]\n  12 -> 38 [size =\"46736384\"]\n  12 -> 39 [size =\"46736384\"]\n  13 [size=\"64355840\", alpha=\"0.01\", expect_size=\"25742336\"] \n  13 -> 29 [size =\"25742336\"]\n  13 -> 31 [size =\"25742336\"]\n  13 -> 37 [size =\"25742336\"]\n  13 -> 38 [size =\"25742336\"]\n  13 -> 39 [size =\"25742336\"]\n  14 [size=\"121139200\", alpha=\"0.03\", expect_size=\"48455680\"] \n  14 -> 27 [size =\"48455680\"]\n  14 -> 29 [size =\"48455680\"]\n  14 -> 30 [size =\"48455680\"]\n  14 -> 32 [size =\"48455680\"]\n  14 -> 33 [size =\"48455680\"]\n  14 -> 34 [size =\"48455680\"]\n  14 -> 35 [size =\"48455680\"]\n  14 -> 36 [size =\"48455680\"]\n  14 -> 37 [size =\"48455680\"]\n  14 -> 39 [size =\"48455680\"]\n  15 [size=\"59225600\", alpha=\"0.05\", expect_size=\"23690240\"] \n  15 -> 29 [size =\"23690240\"]\n  15 -> 31 [size =\"23690240\"]\n  15 -> 32 [size =\"23690240\"]\n  15 -> 32 [size =\"23690240\"]\n  15 -> 34 [size =\"23690240\"]\n  15 -> 39 [size =\"23690240\"]\n  15 -> 40 [size =\"23690240\"]\n  16 [size=\"48281600\", alpha=\"0.03\", expect_size=\"19312640\"] \n  16 -> 27 [size =\"19312640\"]\n  16 -> 29 [size =\"19312640\"]\n  16 -> 30 [size =\"19312640\"]\n  16 -> 31 [size =\"19312640\"]\n  16 -> 34 [size =\"19312640\"]\n  16 -> 39 [size =\"19312640\"]\n  17 [size=\"36065280\", alpha=\"0.01\", expect_size=\"14426112\"] \n  17 -> 27 [size =\"14426112\"]\n  17 -> 30 [size =\"14426112\"]\n  17 -> 31 [size =\"14426112\"]\n  17 -> 31 [size =\"14426112\"]\n  17 -> 35 [size =\"14426112\"]\n  17 -> 36 [size =\"14426112\"]\n  17 -> 38 [size =\"14426112\"]\n  17 -> 39 [size =\"14426112\"]\n  17 -> 40 [size =\"14426112\"]\n  18 [size=\"55618560\", alpha=\"0.01\", expect_size=\"22247424\"] \n  18 -> 27 [size =\"22247424\"]\n  18 -> 29 [size =\"22247424\"]\n  18 -> 30 [size =\"22247424\"]\n  18 -> 31 [size =\"22247424\"]\n  18 -> 32 [size =\"22247424\"]\n  18 -> 35 [size =\"22247424\"]\n  18 -> 39 [size =\"22247424\"]\n  18 -> 39 [size =\"22247424\"]\n  19 [size=\"86824960\", alpha=\"0.09\", expect_size=\"34729984\"] \n  19 -> 27 [size =\"34729984\"]\n  19 -> 35 [size =\"34729984\"]\n  19 -> 37 [size =\"34729984\"]\n  19 -> 40 [size =\"34729984\"]\n  20 [size=\"96440320\", alpha=\"0.13\", expect_size=\"38576128\"] \n  20 -> 27 [size =\"38576128\"]\n  20 -> 29 [size =\"38576128\"]\n  20 -> 31 [size =\"38576128\"]\n  20 -> 34 [size =\"38576128\"]\n  20 -> 35 [size =\"38576128\"]\n  20 -> 37 [size =\"38576128\"]\n  21 [size=\"25894400\", alpha=\"0.06\", expect_size=\"10357760\"] \n  21 -> 27 [size =\"10357760\"]\n  21 -> 29 [size =\"10357760\"]\n  21 -> 30 [size =\"10357760\"]\n  21 -> 32 [size =\"10357760\"]\n  21 -> 34 [size =\"10357760\"]\n  21 -> 35 [size =\"10357760\"]\n  21 -> 38 [size =\"10357760\"]\n  21 -> 39 [size =\"10357760\"]\n  22 [size=\"98158080\", alpha=\"0.04\", expect_size=\"39263232\"] \n  22 -> 27 [size =\"39263232\"]\n  22 -> 29 [size =\"39263232\"]\n  22 -> 30 [size =\"39263232\"]\n  22 -> 32 [size =\"39263232\"]\n  22 -> 33 [size =\"39263232\"]\n  22 -> 35 [size =\"39263232\"]\n  22 -> 37 [size =\"39263232\"]\n  22 -> 38 [size =\"39263232\"]\n  22 -> 39 [size =\"39263232\"]\n  22 -> 40 [size =\"39263232\"]\n  23 [size=\"42437120\", alpha=\"0.14\", expect_size=\"16974848\"] \n  23 -> 27 [size =\"16974848\"]\n  23 -> 28 [size =\"16974848\"]\n  23 -> 30 [size =\"16974848\"]\n  23 -> 31 [size =\"16974848\"]\n  23 -> 32 [size =\"16974848\"]\n  23 -> 35 [size =\"16974848\"]\n  23 -> 37 [size =\"16974848\"]\n  23 -> 40 [size =\"16974848\"]\n  24 [size=\"50977280\", alpha=\"0.03\", expect_size=\"20390912\"] \n  24 -> 27 [size =\"20390912\"]\n  24 -> 30 [size =\"20390912\"]\n  24 -> 31 [size =\"20390912\"]\n  24 -> 32 [size =\"20390912\"]\n  24 -> 32 [size =\"20390912\"]\n  24 -> 34 [size =\"20390912\"]\n  24 -> 35 [size =\"20390912\"]\n  24 -> 36 [size =\"20390912\"]\n  24 -> 37 [size =\"20390912\"]\n  25 [size=\"66803200\", alpha=\"0.07\", expect_size=\"26721280\"] \n  25 -> 27 [size =\"26721280\"]\n  25 -> 30 [size =\"26721280\"]\n  25 -> 31 [size =\"26721280\"]\n  25 -> 32 [size =\"26721280\"]\n  25 -> 36 [size =\"26721280\"]\n  25 -> 37 [size =\"26721280\"]\n  25 -> 39 [size =\"26721280\"]\n  25 -> 40 [size =\"26721280\"]\n  26 [size=\"96632320\", alpha=\"0.04\", expect_size=\"38652928\"] \n  26 -> 27 [size =\"38652928\"]\n  26 -> 30 [size =\"38652928\"]\n  26 -> 31 [size =\"38652928\"]\n  26 -> 32 [size =\"38652928\"]\n  26 -> 37 [size =\"38652928\"]\n  26 -> 39 [size =\"38652928\"]\n  26 -> 40 [size =\"38652928\"]\n  27 [size=\"113635840\", alpha=\"0.15\", expect_size=\"45454336\"] \n  28 [size=\"119349760\", alpha=\"0.11\", expect_size=\"47739904\"] \n  29 [size=\"128010240\", alpha=\"0.13\", expect_size=\"51204096\"] \n  30 [size=\"65722880\", alpha=\"0.14\", expect_size=\"26289152\"] \n  31 [size=\"22691840\", alpha=\"0.19\", expect_size=\"9076736\"] \n  32 [size=\"60805120\", alpha=\"0.01\", expect_size=\"24322048\"] \n  33 [size=\"82531840\", alpha=\"0.13\", expect_size=\"33012736\"] \n  34 [size=\"48378880\", alpha=\"0.02\", expect_size=\"19351552\"] \n  35 [size=\"64391680\", alpha=\"0.20\", expect_size=\"25756672\"] \n  36 [size=\"104322560\", alpha=\"0.03\", expect_size=\"41729024\"] \n  37 [size=\"125317120\", alpha=\"0.10\", expect_size=\"50126848\"] \n  38 [size=\"93419520\", alpha=\"0.05\", expect_size=\"37367808\"] \n  39 [size=\"41003520\", alpha=\"0.12\", expect_size=\"16401408\"] \n  40 [size=\"117140480\", alpha=\"0.13\", expect_size=\"46856192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104116907\", alpha=\"0.13\", expect_size=\"31235072\"] \n  1 -> 10 [size =\"31235072\"]\n  1 -> 14 [size =\"31235072\"]\n  2 [size=\"39983787\", alpha=\"0.04\", expect_size=\"11995136\"] \n  2 -> 10 [size =\"11995136\"]\n  2 -> 11 [size =\"11995136\"]\n  2 -> 13 [size =\"11995136\"]\n  3 [size=\"174417920\", alpha=\"0.17\", expect_size=\"52325376\"] \n  3 -> 10 [size =\"52325376\"]\n  3 -> 11 [size =\"52325376\"]\n  3 -> 13 [size =\"52325376\"]\n  3 -> 17 [size =\"52325376\"]\n  4 [size=\"108014933\", alpha=\"0.11\", expect_size=\"32404480\"] \n  4 -> 10 [size =\"32404480\"]\n  4 -> 11 [size =\"32404480\"]\n  4 -> 12 [size =\"32404480\"]\n  4 -> 13 [size =\"32404480\"]\n  4 -> 15 [size =\"32404480\"]\n  4 -> 18 [size =\"32404480\"]\n  5 [size=\"59432960\", alpha=\"0.05\", expect_size=\"17829888\"] \n  5 -> 10 [size =\"17829888\"]\n  5 -> 11 [size =\"17829888\"]\n  5 -> 12 [size =\"17829888\"]\n  5 -> 14 [size =\"17829888\"]\n  5 -> 16 [size =\"17829888\"]\n  6 [size=\"130041173\", alpha=\"0.00\", expect_size=\"39012352\"] \n  6 -> 11 [size =\"39012352\"]\n  6 -> 13 [size =\"39012352\"]\n  7 [size=\"106513067\", alpha=\"0.20\", expect_size=\"31953920\"] \n  7 -> 17 [size =\"31953920\"]\n  7 -> 18 [size =\"31953920\"]\n  8 [size=\"130225493\", alpha=\"0.06\", expect_size=\"39067648\"] \n  9 [size=\"58228053\", alpha=\"0.08\", expect_size=\"17468416\"] \n  9 -> 10 [size =\"17468416\"]\n  9 -> 11 [size =\"17468416\"]\n  9 -> 14 [size =\"17468416\"]\n  9 -> 18 [size =\"17468416\"]\n  10 [size=\"63860053\", alpha=\"0.10\", expect_size=\"19158016\"] \n  10 -> 19 [size =\"19158016\"]\n  10 -> 20 [size =\"19158016\"]\n  10 -> 21 [size =\"19158016\"]\n  10 -> 27 [size =\"19158016\"]\n  11 [size=\"40147627\", alpha=\"0.13\", expect_size=\"12044288\"] \n  11 -> 21 [size =\"12044288\"]\n  11 -> 25 [size =\"12044288\"]\n  12 [size=\"140072960\", alpha=\"0.18\", expect_size=\"42021888\"] \n  12 -> 19 [size =\"42021888\"]\n  12 -> 20 [size =\"42021888\"]\n  12 -> 23 [size =\"42021888\"]\n  12 -> 25 [size =\"42021888\"]\n  13 [size=\"173421227\", alpha=\"0.13\", expect_size=\"52026368\"] \n  13 -> 21 [size =\"52026368\"]\n  13 -> 22 [size =\"52026368\"]\n  13 -> 25 [size =\"52026368\"]\n  14 [size=\"151739733\", alpha=\"0.18\", expect_size=\"45521920\"] \n  14 -> 19 [size =\"45521920\"]\n  14 -> 22 [size =\"45521920\"]\n  14 -> 23 [size =\"45521920\"]\n  14 -> 24 [size =\"45521920\"]\n  14 -> 28 [size =\"45521920\"]\n  15 [size=\"78667093\", alpha=\"0.11\", expect_size=\"23600128\"] \n  15 -> 19 [size =\"23600128\"]\n  15 -> 20 [size =\"23600128\"]\n  15 -> 23 [size =\"23600128\"]\n  15 -> 26 [size =\"23600128\"]\n  16 [size=\"121917440\", alpha=\"0.08\", expect_size=\"36575232\"] \n  16 -> 20 [size =\"36575232\"]\n  16 -> 20 [size =\"36575232\"]\n  16 -> 21 [size =\"36575232\"]\n  16 -> 25 [size =\"36575232\"]\n  16 -> 27 [size =\"36575232\"]\n  17 [size=\"123456853\", alpha=\"0.18\", expect_size=\"37037056\"] \n  17 -> 19 [size =\"37037056\"]\n  17 -> 21 [size =\"37037056\"]\n  17 -> 27 [size =\"37037056\"]\n  18 [size=\"120456533\", alpha=\"0.12\", expect_size=\"36136960\"] \n  18 -> 20 [size =\"36136960\"]\n  18 -> 21 [size =\"36136960\"]\n  18 -> 23 [size =\"36136960\"]\n  18 -> 27 [size =\"36136960\"]\n  19 [size=\"165434027\", alpha=\"0.14\", expect_size=\"49630208\"] \n  19 -> 35 [size =\"49630208\"]\n  19 -> 36 [size =\"49630208\"]\n  19 -> 39 [size =\"49630208\"]\n  19 -> 40 [size =\"49630208\"]\n  20 [size=\"69693440\", alpha=\"0.17\", expect_size=\"20908032\"] \n  20 -> 35 [size =\"20908032\"]\n  20 -> 37 [size =\"20908032\"]\n  21 [size=\"151579307\", alpha=\"0.11\", expect_size=\"45473792\"] \n  21 -> 30 [size =\"45473792\"]\n  21 -> 33 [size =\"45473792\"]\n  21 -> 34 [size =\"45473792\"]\n  21 -> 39 [size =\"45473792\"]\n  22 [size=\"94143147\", alpha=\"0.07\", expect_size=\"28242944\"] \n  22 -> 29 [size =\"28242944\"]\n  22 -> 30 [size =\"28242944\"]\n  22 -> 33 [size =\"28242944\"]\n  22 -> 34 [size =\"28242944\"]\n  22 -> 39 [size =\"28242944\"]\n  23 [size=\"80018773\", alpha=\"0.04\", expect_size=\"24005632\"] \n  23 -> 30 [size =\"24005632\"]\n  23 -> 30 [size =\"24005632\"]\n  23 -> 31 [size =\"24005632\"]\n  23 -> 35 [size =\"24005632\"]\n  23 -> 39 [size =\"24005632\"]\n  24 [size=\"22135467\", alpha=\"0.12\", expect_size=\"6640640\"] \n  24 -> 29 [size =\"6640640\"]\n  25 [size=\"162338133\", alpha=\"0.06\", expect_size=\"48701440\"] \n  25 -> 29 [size =\"48701440\"]\n  25 -> 31 [size =\"48701440\"]\n  25 -> 34 [size =\"48701440\"]\n  25 -> 38 [size =\"48701440\"]\n  25 -> 39 [size =\"48701440\"]\n  26 [size=\"92354560\", alpha=\"0.14\", expect_size=\"27706368\"] \n  26 -> 34 [size =\"27706368\"]\n  26 -> 35 [size =\"27706368\"]\n  27 [size=\"156825600\", alpha=\"0.13\", expect_size=\"47047680\"] \n  27 -> 29 [size =\"47047680\"]\n  27 -> 31 [size =\"47047680\"]\n  27 -> 33 [size =\"47047680\"]\n  27 -> 34 [size =\"47047680\"]\n  27 -> 35 [size =\"47047680\"]\n  27 -> 40 [size =\"47047680\"]\n  28 [size=\"144851627\", alpha=\"0.06\", expect_size=\"43455488\"] \n  28 -> 29 [size =\"43455488\"]\n  28 -> 30 [size =\"43455488\"]\n  28 -> 32 [size =\"43455488\"]\n  28 -> 34 [size =\"43455488\"]\n  28 -> 36 [size =\"43455488\"]\n  28 -> 39 [size =\"43455488\"]\n  29 [size=\"82513920\", alpha=\"0.05\", expect_size=\"24754176\"] \n  30 [size=\"33792000\", alpha=\"0.10\", expect_size=\"10137600\"] \n  31 [size=\"164857173\", alpha=\"0.17\", expect_size=\"49457152\"] \n  32 [size=\"90494293\", alpha=\"0.00\", expect_size=\"27148288\"] \n  33 [size=\"147787093\", alpha=\"0.03\", expect_size=\"44336128\"] \n  34 [size=\"21814613\", alpha=\"0.03\", expect_size=\"6544384\"] \n  35 [size=\"117695147\", alpha=\"0.11\", expect_size=\"35308544\"] \n  36 [size=\"162812587\", alpha=\"0.12\", expect_size=\"48843776\"] \n  37 [size=\"112448853\", alpha=\"0.06\", expect_size=\"33734656\"] \n  38 [size=\"55640747\", alpha=\"0.14\", expect_size=\"16692224\"] \n  39 [size=\"105137493\", alpha=\"0.00\", expect_size=\"31541248\"] \n  40 [size=\"144411307\", alpha=\"0.13\", expect_size=\"43323392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49852416\", alpha=\"0.17\", expect_size=\"24926208\"] \n  1 -> 20 [size =\"24926208\"]\n  1 -> 23 [size =\"24926208\"]\n  1 -> 24 [size =\"24926208\"]\n  1 -> 24 [size =\"24926208\"]\n  1 -> 25 [size =\"24926208\"]\n  2 [size=\"79493120\", alpha=\"0.08\", expect_size=\"39746560\"] \n  2 -> 17 [size =\"39746560\"]\n  2 -> 19 [size =\"39746560\"]\n  2 -> 21 [size =\"39746560\"]\n  2 -> 22 [size =\"39746560\"]\n  2 -> 24 [size =\"39746560\"]\n  2 -> 25 [size =\"39746560\"]\n  3 [size=\"59054080\", alpha=\"0.03\", expect_size=\"29527040\"] \n  3 -> 17 [size =\"29527040\"]\n  3 -> 18 [size =\"29527040\"]\n  3 -> 20 [size =\"29527040\"]\n  3 -> 21 [size =\"29527040\"]\n  3 -> 23 [size =\"29527040\"]\n  3 -> 24 [size =\"29527040\"]\n  3 -> 26 [size =\"29527040\"]\n  4 [size=\"74366976\", alpha=\"0.09\", expect_size=\"37183488\"] \n  4 -> 17 [size =\"37183488\"]\n  4 -> 20 [size =\"37183488\"]\n  4 -> 21 [size =\"37183488\"]\n  4 -> 21 [size =\"37183488\"]\n  4 -> 23 [size =\"37183488\"]\n  4 -> 24 [size =\"37183488\"]\n  4 -> 25 [size =\"37183488\"]\n  4 -> 26 [size =\"37183488\"]\n  4 -> 27 [size =\"37183488\"]\n  5 [size=\"22519808\", alpha=\"0.03\", expect_size=\"11259904\"] \n  5 -> 17 [size =\"11259904\"]\n  5 -> 18 [size =\"11259904\"]\n  5 -> 21 [size =\"11259904\"]\n  5 -> 24 [size =\"11259904\"]\n  5 -> 25 [size =\"11259904\"]\n  5 -> 26 [size =\"11259904\"]\n  5 -> 27 [size =\"11259904\"]\n  6 [size=\"61136896\", alpha=\"0.12\", expect_size=\"30568448\"] \n  6 -> 17 [size =\"30568448\"]\n  6 -> 18 [size =\"30568448\"]\n  6 -> 19 [size =\"30568448\"]\n  6 -> 20 [size =\"30568448\"]\n  6 -> 21 [size =\"30568448\"]\n  6 -> 24 [size =\"30568448\"]\n  6 -> 25 [size =\"30568448\"]\n  6 -> 26 [size =\"30568448\"]\n  7 [size=\"54732800\", alpha=\"0.19\", expect_size=\"27366400\"] \n  7 -> 17 [size =\"27366400\"]\n  7 -> 18 [size =\"27366400\"]\n  7 -> 20 [size =\"27366400\"]\n  7 -> 20 [size =\"27366400\"]\n  7 -> 21 [size =\"27366400\"]\n  7 -> 24 [size =\"27366400\"]\n  7 -> 25 [size =\"27366400\"]\n  7 -> 26 [size =\"27366400\"]\n  7 -> 27 [size =\"27366400\"]\n  8 [size=\"73936896\", alpha=\"0.03\", expect_size=\"36968448\"] \n  8 -> 17 [size =\"36968448\"]\n  8 -> 18 [size =\"36968448\"]\n  8 -> 19 [size =\"36968448\"]\n  8 -> 21 [size =\"36968448\"]\n  8 -> 21 [size =\"36968448\"]\n  8 -> 22 [size =\"36968448\"]\n  8 -> 23 [size =\"36968448\"]\n  8 -> 24 [size =\"36968448\"]\n  8 -> 25 [size =\"36968448\"]\n  9 [size=\"99262464\", alpha=\"0.02\", expect_size=\"49631232\"] \n  9 -> 17 [size =\"49631232\"]\n  9 -> 18 [size =\"49631232\"]\n  9 -> 22 [size =\"49631232\"]\n  9 -> 25 [size =\"49631232\"]\n  9 -> 27 [size =\"49631232\"]\n  10 [size=\"75864064\", alpha=\"0.07\", expect_size=\"37932032\"] \n  10 -> 17 [size =\"37932032\"]\n  10 -> 18 [size =\"37932032\"]\n  10 -> 20 [size =\"37932032\"]\n  10 -> 22 [size =\"37932032\"]\n  10 -> 27 [size =\"37932032\"]\n  11 [size=\"74805248\", alpha=\"0.08\", expect_size=\"37402624\"] \n  11 -> 17 [size =\"37402624\"]\n  11 -> 18 [size =\"37402624\"]\n  11 -> 22 [size =\"37402624\"]\n  11 -> 23 [size =\"37402624\"]\n  12 [size=\"61259776\", alpha=\"0.16\", expect_size=\"30629888\"] \n  12 -> 17 [size =\"30629888\"]\n  12 -> 18 [size =\"30629888\"]\n  12 -> 20 [size =\"30629888\"]\n  12 -> 22 [size =\"30629888\"]\n  12 -> 23 [size =\"30629888\"]\n  12 -> 24 [size =\"30629888\"]\n  12 -> 27 [size =\"30629888\"]\n  13 [size=\"97140736\", alpha=\"0.07\", expect_size=\"48570368\"] \n  13 -> 17 [size =\"48570368\"]\n  13 -> 18 [size =\"48570368\"]\n  13 -> 20 [size =\"48570368\"]\n  13 -> 21 [size =\"48570368\"]\n  13 -> 23 [size =\"48570368\"]\n  13 -> 24 [size =\"48570368\"]\n  13 -> 25 [size =\"48570368\"]\n  13 -> 26 [size =\"48570368\"]\n  13 -> 27 [size =\"48570368\"]\n  14 [size=\"18167808\", alpha=\"0.01\", expect_size=\"9083904\"] \n  14 -> 17 [size =\"9083904\"]\n  14 -> 18 [size =\"9083904\"]\n  14 -> 20 [size =\"9083904\"]\n  14 -> 21 [size =\"9083904\"]\n  14 -> 23 [size =\"9083904\"]\n  14 -> 24 [size =\"9083904\"]\n  14 -> 26 [size =\"9083904\"]\n  14 -> 27 [size =\"9083904\"]\n  15 [size=\"60878848\", alpha=\"0.15\", expect_size=\"30439424\"] \n  15 -> 17 [size =\"30439424\"]\n  15 -> 20 [size =\"30439424\"]\n  15 -> 23 [size =\"30439424\"]\n  15 -> 24 [size =\"30439424\"]\n  15 -> 25 [size =\"30439424\"]\n  15 -> 26 [size =\"30439424\"]\n  16 [size=\"75857920\", alpha=\"0.05\", expect_size=\"37928960\"] \n  16 -> 18 [size =\"37928960\"]\n  16 -> 20 [size =\"37928960\"]\n  16 -> 23 [size =\"37928960\"]\n  16 -> 24 [size =\"37928960\"]\n  16 -> 25 [size =\"37928960\"]\n  16 -> 26 [size =\"37928960\"]\n  17 [size=\"39497728\", alpha=\"0.10\", expect_size=\"19748864\"] \n  17 -> 31 [size =\"19748864\"]\n  17 -> 33 [size =\"19748864\"]\n  17 -> 34 [size =\"19748864\"]\n  17 -> 35 [size =\"19748864\"]\n  18 [size=\"33415168\", alpha=\"0.02\", expect_size=\"16707584\"] \n  18 -> 29 [size =\"16707584\"]\n  18 -> 30 [size =\"16707584\"]\n  18 -> 31 [size =\"16707584\"]\n  18 -> 34 [size =\"16707584\"]\n  19 [size=\"49555456\", alpha=\"0.16\", expect_size=\"24777728\"] \n  19 -> 28 [size =\"24777728\"]\n  19 -> 29 [size =\"24777728\"]\n  19 -> 33 [size =\"24777728\"]\n  19 -> 34 [size =\"24777728\"]\n  19 -> 36 [size =\"24777728\"]\n  20 [size=\"60469248\", alpha=\"0.17\", expect_size=\"30234624\"] \n  20 -> 29 [size =\"30234624\"]\n  20 -> 30 [size =\"30234624\"]\n  20 -> 31 [size =\"30234624\"]\n  20 -> 33 [size =\"30234624\"]\n  21 [size=\"93319168\", alpha=\"0.07\", expect_size=\"46659584\"] \n  21 -> 29 [size =\"46659584\"]\n  21 -> 33 [size =\"46659584\"]\n  22 [size=\"36806656\", alpha=\"0.12\", expect_size=\"18403328\"] \n  22 -> 30 [size =\"18403328\"]\n  22 -> 32 [size =\"18403328\"]\n  22 -> 33 [size =\"18403328\"]\n  22 -> 34 [size =\"18403328\"]\n  23 [size=\"16447488\", alpha=\"0.07\", expect_size=\"8223744\"] \n  23 -> 31 [size =\"8223744\"]\n  23 -> 34 [size =\"8223744\"]\n  24 [size=\"47202304\", alpha=\"0.16\", expect_size=\"23601152\"] \n  24 -> 30 [size =\"23601152\"]\n  24 -> 31 [size =\"23601152\"]\n  24 -> 33 [size =\"23601152\"]\n  24 -> 34 [size =\"23601152\"]\n  25 [size=\"53217280\", alpha=\"0.07\", expect_size=\"26608640\"] \n  25 -> 30 [size =\"26608640\"]\n  25 -> 33 [size =\"26608640\"]\n  25 -> 34 [size =\"26608640\"]\n  25 -> 34 [size =\"26608640\"]\n  26 [size=\"29659136\", alpha=\"0.08\", expect_size=\"14829568\"] \n  26 -> 29 [size =\"14829568\"]\n  26 -> 30 [size =\"14829568\"]\n  26 -> 34 [size =\"14829568\"]\n  26 -> 35 [size =\"14829568\"]\n  26 -> 36 [size =\"14829568\"]\n  27 [size=\"52617216\", alpha=\"0.20\", expect_size=\"26308608\"] \n  27 -> 32 [size =\"26308608\"]\n  27 -> 34 [size =\"26308608\"]\n  28 [size=\"99028992\", alpha=\"0.04\", expect_size=\"49514496\"] \n  28 -> 38 [size =\"49514496\"]\n  28 -> 39 [size =\"49514496\"]\n  28 -> 40 [size =\"49514496\"]\n  29 [size=\"12400640\", alpha=\"0.08\", expect_size=\"6200320\"] \n  29 -> 40 [size =\"6200320\"]\n  30 [size=\"86562816\", alpha=\"0.05\", expect_size=\"43281408\"] \n  30 -> 38 [size =\"43281408\"]\n  30 -> 40 [size =\"43281408\"]\n  31 [size=\"74358784\", alpha=\"0.16\", expect_size=\"37179392\"] \n  31 -> 37 [size =\"37179392\"]\n  31 -> 39 [size =\"37179392\"]\n  31 -> 40 [size =\"37179392\"]\n  32 [size=\"15157248\", alpha=\"0.17\", expect_size=\"7578624\"] \n  32 -> 39 [size =\"7578624\"]\n  32 -> 40 [size =\"7578624\"]\n  33 [size=\"72337408\", alpha=\"0.17\", expect_size=\"36168704\"] \n  33 -> 39 [size =\"36168704\"]\n  33 -> 40 [size =\"36168704\"]\n  34 [size=\"11352064\", alpha=\"0.19\", expect_size=\"5676032\"] \n  34 -> 39 [size =\"5676032\"]\n  34 -> 40 [size =\"5676032\"]\n  35 [size=\"84828160\", alpha=\"0.11\", expect_size=\"42414080\"] \n  35 -> 37 [size =\"42414080\"]\n  36 [size=\"21688320\", alpha=\"0.18\", expect_size=\"10844160\"] \n  36 -> 37 [size =\"10844160\"]\n  36 -> 38 [size =\"10844160\"]\n  37 [size=\"61323264\", alpha=\"0.10\", expect_size=\"30661632\"] \n  38 [size=\"59240448\", alpha=\"0.07\", expect_size=\"29620224\"] \n  39 [size=\"78893056\", alpha=\"0.13\", expect_size=\"39446528\"] \n  40 [size=\"20312064\", alpha=\"0.09\", expect_size=\"10156032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32248320\", alpha=\"0.18\", expect_size=\"12899328\"] \n  1 -> 3 [size =\"12899328\"]\n  1 -> 5 [size =\"12899328\"]\n  1 -> 6 [size =\"12899328\"]\n  2 [size=\"47111680\", alpha=\"0.06\", expect_size=\"18844672\"] \n  2 -> 3 [size =\"18844672\"]\n  2 -> 4 [size =\"18844672\"]\n  2 -> 5 [size =\"18844672\"]\n  2 -> 6 [size =\"18844672\"]\n  3 [size=\"46397440\", alpha=\"0.05\", expect_size=\"18558976\"] \n  3 -> 8 [size =\"18558976\"]\n  4 [size=\"106452480\", alpha=\"0.08\", expect_size=\"42580992\"] \n  4 -> 7 [size =\"42580992\"]\n  5 [size=\"61045760\", alpha=\"0.10\", expect_size=\"24418304\"] \n  5 -> 7 [size =\"24418304\"]\n  6 [size=\"109808640\", alpha=\"0.14\", expect_size=\"43923456\"] \n  7 [size=\"58539520\", alpha=\"0.17\", expect_size=\"23415808\"] \n  7 -> 9 [size =\"23415808\"]\n  7 -> 10 [size =\"23415808\"]\n  7 -> 11 [size =\"23415808\"]\n  8 [size=\"16053760\", alpha=\"0.11\", expect_size=\"6421504\"] \n  8 -> 9 [size =\"6421504\"]\n  8 -> 10 [size =\"6421504\"]\n  8 -> 11 [size =\"6421504\"]\n  9 [size=\"24171520\", alpha=\"0.06\", expect_size=\"9668608\"] \n  9 -> 14 [size =\"9668608\"]\n  10 [size=\"44684800\", alpha=\"0.18\", expect_size=\"17873920\"] \n  10 -> 12 [size =\"17873920\"]\n  11 [size=\"21422080\", alpha=\"0.03\", expect_size=\"8568832\"] \n  11 -> 13 [size =\"8568832\"]\n  12 [size=\"125020160\", alpha=\"0.14\", expect_size=\"50008064\"] \n  12 -> 15 [size =\"50008064\"]\n  13 [size=\"43591680\", alpha=\"0.08\", expect_size=\"17436672\"] \n  14 [size=\"70246400\", alpha=\"0.16\", expect_size=\"28098560\"] \n  14 -> 15 [size =\"28098560\"]\n  15 [size=\"116743680\", alpha=\"0.08\", expect_size=\"46697472\"] \n  15 -> 16 [size =\"46697472\"]\n  15 -> 17 [size =\"46697472\"]\n  15 -> 18 [size =\"46697472\"]\n  16 [size=\"55639040\", alpha=\"0.17\", expect_size=\"22255616\"] \n  16 -> 20 [size =\"22255616\"]\n  17 [size=\"23047680\", alpha=\"0.02\", expect_size=\"9219072\"] \n  17 -> 20 [size =\"9219072\"]\n  18 [size=\"125294080\", alpha=\"0.13\", expect_size=\"50117632\"] \n  18 -> 19 [size =\"50117632\"]\n  18 -> 20 [size =\"50117632\"]\n  19 [size=\"70809600\", alpha=\"0.01\", expect_size=\"28323840\"] \n  19 -> 21 [size =\"28323840\"]\n  19 -> 22 [size =\"28323840\"]\n  19 -> 23 [size =\"28323840\"]\n  20 [size=\"105313280\", alpha=\"0.17\", expect_size=\"42125312\"] \n  20 -> 21 [size =\"42125312\"]\n  20 -> 22 [size =\"42125312\"]\n  20 -> 23 [size =\"42125312\"]\n  21 [size=\"94082560\", alpha=\"0.15\", expect_size=\"37633024\"] \n  21 -> 24 [size =\"37633024\"]\n  22 [size=\"111800320\", alpha=\"0.20\", expect_size=\"44720128\"] \n  22 -> 24 [size =\"44720128\"]\n  23 [size=\"73584640\", alpha=\"0.10\", expect_size=\"29433856\"] \n  24 [size=\"120742400\", alpha=\"0.16\", expect_size=\"48296960\"] \n  24 -> 25 [size =\"48296960\"]\n  24 -> 26 [size =\"48296960\"]\n  24 -> 27 [size =\"48296960\"]\n  25 [size=\"99184640\", alpha=\"0.10\", expect_size=\"39673856\"] \n  25 -> 28 [size =\"39673856\"]\n  25 -> 29 [size =\"39673856\"]\n  25 -> 30 [size =\"39673856\"]\n  26 [size=\"27118080\", alpha=\"0.00\", expect_size=\"10847232\"] \n  26 -> 28 [size =\"10847232\"]\n  26 -> 29 [size =\"10847232\"]\n  26 -> 30 [size =\"10847232\"]\n  27 [size=\"130050560\", alpha=\"0.18\", expect_size=\"52020224\"] \n  27 -> 28 [size =\"52020224\"]\n  27 -> 29 [size =\"52020224\"]\n  27 -> 30 [size =\"52020224\"]\n  28 [size=\"21980160\", alpha=\"0.17\", expect_size=\"8792064\"] \n  28 -> 31 [size =\"8792064\"]\n  28 -> 32 [size =\"8792064\"]\n  29 [size=\"100620800\", alpha=\"0.17\", expect_size=\"40248320\"] \n  29 -> 32 [size =\"40248320\"]\n  30 [size=\"108602880\", alpha=\"0.03\", expect_size=\"43441152\"] \n  30 -> 32 [size =\"43441152\"]\n  31 [size=\"89408000\", alpha=\"0.10\", expect_size=\"35763200\"] \n  31 -> 33 [size =\"35763200\"]\n  31 -> 34 [size =\"35763200\"]\n  32 [size=\"62172160\", alpha=\"0.17\", expect_size=\"24868864\"] \n  32 -> 33 [size =\"24868864\"]\n  32 -> 34 [size =\"24868864\"]\n  33 [size=\"60902400\", alpha=\"0.08\", expect_size=\"24360960\"] \n  33 -> 35 [size =\"24360960\"]\n  33 -> 36 [size =\"24360960\"]\n  33 -> 37 [size =\"24360960\"]\n  34 [size=\"118891520\", alpha=\"0.09\", expect_size=\"47556608\"] \n  34 -> 35 [size =\"47556608\"]\n  34 -> 36 [size =\"47556608\"]\n  34 -> 37 [size =\"47556608\"]\n  35 [size=\"93555200\", alpha=\"0.08\", expect_size=\"37422080\"] \n  35 -> 39 [size =\"37422080\"]\n  35 -> 40 [size =\"37422080\"]\n  36 [size=\"32829440\", alpha=\"0.13\", expect_size=\"13131776\"] \n  36 -> 38 [size =\"13131776\"]\n  36 -> 39 [size =\"13131776\"]\n  36 -> 40 [size =\"13131776\"]\n  37 [size=\"33423360\", alpha=\"0.01\", expect_size=\"13369344\"] \n  37 -> 38 [size =\"13369344\"]\n  37 -> 39 [size =\"13369344\"]\n  38 [size=\"22801920\", alpha=\"0.08\", expect_size=\"9120768\"] \n  39 [size=\"121881600\", alpha=\"0.04\", expect_size=\"48752640\"] \n  40 [size=\"105792000\", alpha=\"0.16\", expect_size=\"42316800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28436480\", alpha=\"0.20\", expect_size=\"11374592\"] \n  1 -> 22 [size =\"11374592\"]\n  1 -> 26 [size =\"11374592\"]\n  1 -> 31 [size =\"11374592\"]\n  1 -> 34 [size =\"11374592\"]\n  2 [size=\"81495040\", alpha=\"0.20\", expect_size=\"32598016\"] \n  2 -> 22 [size =\"32598016\"]\n  2 -> 26 [size =\"32598016\"]\n  2 -> 28 [size =\"32598016\"]\n  2 -> 31 [size =\"32598016\"]\n  3 [size=\"19136000\", alpha=\"0.07\", expect_size=\"7654400\"] \n  3 -> 25 [size =\"7654400\"]\n  3 -> 27 [size =\"7654400\"]\n  3 -> 28 [size =\"7654400\"]\n  4 [size=\"68285440\", alpha=\"0.14\", expect_size=\"27314176\"] \n  4 -> 21 [size =\"27314176\"]\n  4 -> 26 [size =\"27314176\"]\n  4 -> 28 [size =\"27314176\"]\n  4 -> 30 [size =\"27314176\"]\n  4 -> 31 [size =\"27314176\"]\n  5 [size=\"116244480\", alpha=\"0.14\", expect_size=\"46497792\"] \n  5 -> 22 [size =\"46497792\"]\n  5 -> 23 [size =\"46497792\"]\n  5 -> 26 [size =\"46497792\"]\n  5 -> 27 [size =\"46497792\"]\n  5 -> 28 [size =\"46497792\"]\n  5 -> 29 [size =\"46497792\"]\n  5 -> 30 [size =\"46497792\"]\n  5 -> 34 [size =\"46497792\"]\n  6 [size=\"18798080\", alpha=\"0.03\", expect_size=\"7519232\"] \n  6 -> 21 [size =\"7519232\"]\n  6 -> 22 [size =\"7519232\"]\n  6 -> 27 [size =\"7519232\"]\n  6 -> 30 [size =\"7519232\"]\n  6 -> 32 [size =\"7519232\"]\n  6 -> 34 [size =\"7519232\"]\n  7 [size=\"39882240\", alpha=\"0.20\", expect_size=\"15952896\"] \n  7 -> 27 [size =\"15952896\"]\n  7 -> 32 [size =\"15952896\"]\n  7 -> 33 [size =\"15952896\"]\n  8 [size=\"119198720\", alpha=\"0.10\", expect_size=\"47679488\"] \n  8 -> 22 [size =\"47679488\"]\n  8 -> 27 [size =\"47679488\"]\n  8 -> 30 [size =\"47679488\"]\n  8 -> 32 [size =\"47679488\"]\n  9 [size=\"21071360\", alpha=\"0.17\", expect_size=\"8428544\"] \n  9 -> 24 [size =\"8428544\"]\n  9 -> 28 [size =\"8428544\"]\n  9 -> 31 [size =\"8428544\"]\n  9 -> 34 [size =\"8428544\"]\n  10 [size=\"54888960\", alpha=\"0.11\", expect_size=\"21955584\"] \n  10 -> 25 [size =\"21955584\"]\n  10 -> 26 [size =\"21955584\"]\n  11 [size=\"94850560\", alpha=\"0.17\", expect_size=\"37940224\"] \n  11 -> 21 [size =\"37940224\"]\n  11 -> 26 [size =\"37940224\"]\n  11 -> 29 [size =\"37940224\"]\n  11 -> 34 [size =\"37940224\"]\n  12 [size=\"94366720\", alpha=\"0.13\", expect_size=\"37746688\"] \n  12 -> 20 [size =\"37746688\"]\n  12 -> 21 [size =\"37746688\"]\n  12 -> 34 [size =\"37746688\"]\n  12 -> 34 [size =\"37746688\"]\n  13 [size=\"93816320\", alpha=\"0.04\", expect_size=\"37526528\"] \n  13 -> 21 [size =\"37526528\"]\n  13 -> 21 [size =\"37526528\"]\n  13 -> 31 [size =\"37526528\"]\n  13 -> 33 [size =\"37526528\"]\n  13 -> 34 [size =\"37526528\"]\n  14 [size=\"19125760\", alpha=\"0.09\", expect_size=\"7650304\"] \n  14 -> 21 [size =\"7650304\"]\n  14 -> 28 [size =\"7650304\"]\n  14 -> 30 [size =\"7650304\"]\n  14 -> 32 [size =\"7650304\"]\n  14 -> 33 [size =\"7650304\"]\n  14 -> 34 [size =\"7650304\"]\n  15 [size=\"104371200\", alpha=\"0.19\", expect_size=\"41748480\"] \n  15 -> 20 [size =\"41748480\"]\n  15 -> 27 [size =\"41748480\"]\n  15 -> 28 [size =\"41748480\"]\n  15 -> 30 [size =\"41748480\"]\n  16 [size=\"70965760\", alpha=\"0.16\", expect_size=\"28386304\"] \n  16 -> 26 [size =\"28386304\"]\n  16 -> 27 [size =\"28386304\"]\n  16 -> 28 [size =\"28386304\"]\n  16 -> 33 [size =\"28386304\"]\n  17 [size=\"87418880\", alpha=\"0.04\", expect_size=\"34967552\"] \n  17 -> 20 [size =\"34967552\"]\n  17 -> 28 [size =\"34967552\"]\n  17 -> 28 [size =\"34967552\"]\n  17 -> 30 [size =\"34967552\"]\n  18 [size=\"86558720\", alpha=\"0.16\", expect_size=\"34623488\"] \n  18 -> 20 [size =\"34623488\"]\n  18 -> 27 [size =\"34623488\"]\n  18 -> 28 [size =\"34623488\"]\n  18 -> 30 [size =\"34623488\"]\n  18 -> 33 [size =\"34623488\"]\n  18 -> 34 [size =\"34623488\"]\n  19 [size=\"28984320\", alpha=\"0.09\", expect_size=\"11593728\"] \n  19 -> 20 [size =\"11593728\"]\n  19 -> 21 [size =\"11593728\"]\n  19 -> 25 [size =\"11593728\"]\n  19 -> 26 [size =\"11593728\"]\n  19 -> 27 [size =\"11593728\"]\n  19 -> 29 [size =\"11593728\"]\n  19 -> 30 [size =\"11593728\"]\n  19 -> 34 [size =\"11593728\"]\n  20 [size=\"127334400\", alpha=\"0.01\", expect_size=\"50933760\"] \n  20 -> 35 [size =\"50933760\"]\n  20 -> 36 [size =\"50933760\"]\n  21 [size=\"73200640\", alpha=\"0.16\", expect_size=\"29280256\"] \n  21 -> 36 [size =\"29280256\"]\n  21 -> 38 [size =\"29280256\"]\n  21 -> 40 [size =\"29280256\"]\n  22 [size=\"52736000\", alpha=\"0.02\", expect_size=\"21094400\"] \n  23 [size=\"129185280\", alpha=\"0.09\", expect_size=\"51674112\"] \n  23 -> 39 [size =\"51674112\"]\n  24 [size=\"32688640\", alpha=\"0.05\", expect_size=\"13075456\"] \n  25 [size=\"87296000\", alpha=\"0.19\", expect_size=\"34918400\"] \n  25 -> 37 [size =\"34918400\"]\n  26 [size=\"81909760\", alpha=\"0.14\", expect_size=\"32763904\"] \n  26 -> 36 [size =\"32763904\"]\n  26 -> 37 [size =\"32763904\"]\n  27 [size=\"60167680\", alpha=\"0.14\", expect_size=\"24067072\"] \n  27 -> 36 [size =\"24067072\"]\n  28 [size=\"82757120\", alpha=\"0.11\", expect_size=\"33102848\"] \n  28 -> 36 [size =\"33102848\"]\n  29 [size=\"62031360\", alpha=\"0.10\", expect_size=\"24812544\"] \n  30 [size=\"115409920\", alpha=\"0.16\", expect_size=\"46163968\"] \n  31 [size=\"121344000\", alpha=\"0.16\", expect_size=\"48537600\"] \n  31 -> 36 [size =\"48537600\"]\n  32 [size=\"95162880\", alpha=\"0.10\", expect_size=\"38065152\"] \n  32 -> 35 [size =\"38065152\"]\n  32 -> 36 [size =\"38065152\"]\n  32 -> 40 [size =\"38065152\"]\n  33 [size=\"105256960\", alpha=\"0.17\", expect_size=\"42102784\"] \n  33 -> 36 [size =\"42102784\"]\n  34 [size=\"39695360\", alpha=\"0.05\", expect_size=\"15878144\"] \n  34 -> 36 [size =\"15878144\"]\n  34 -> 37 [size =\"15878144\"]\n  34 -> 40 [size =\"15878144\"]\n  35 [size=\"71616000\", alpha=\"0.09\", expect_size=\"28646400\"] \n  36 [size=\"68231680\", alpha=\"0.02\", expect_size=\"27292672\"] \n  37 [size=\"35233280\", alpha=\"0.09\", expect_size=\"14093312\"] \n  38 [size=\"117360640\", alpha=\"0.07\", expect_size=\"46944256\"] \n  39 [size=\"66810880\", alpha=\"0.09\", expect_size=\"26724352\"] \n  40 [size=\"127482880\", alpha=\"0.09\", expect_size=\"50993152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71827456\", alpha=\"0.06\", expect_size=\"35913728\"] \n  1 -> 16 [size =\"35913728\"]\n  1 -> 18 [size =\"35913728\"]\n  1 -> 19 [size =\"35913728\"]\n  1 -> 20 [size =\"35913728\"]\n  2 [size=\"48922624\", alpha=\"0.04\", expect_size=\"24461312\"] \n  2 -> 16 [size =\"24461312\"]\n  2 -> 17 [size =\"24461312\"]\n  2 -> 18 [size =\"24461312\"]\n  2 -> 20 [size =\"24461312\"]\n  3 [size=\"14979072\", alpha=\"0.05\", expect_size=\"7489536\"] \n  3 -> 20 [size =\"7489536\"]\n  3 -> 21 [size =\"7489536\"]\n  4 [size=\"93351936\", alpha=\"0.06\", expect_size=\"46675968\"] \n  4 -> 18 [size =\"46675968\"]\n  4 -> 20 [size =\"46675968\"]\n  4 -> 21 [size =\"46675968\"]\n  5 [size=\"90402816\", alpha=\"0.19\", expect_size=\"45201408\"] \n  5 -> 16 [size =\"45201408\"]\n  5 -> 18 [size =\"45201408\"]\n  6 [size=\"27056128\", alpha=\"0.07\", expect_size=\"13528064\"] \n  6 -> 17 [size =\"13528064\"]\n  6 -> 18 [size =\"13528064\"]\n  7 [size=\"83152896\", alpha=\"0.07\", expect_size=\"41576448\"] \n  7 -> 17 [size =\"41576448\"]\n  7 -> 18 [size =\"41576448\"]\n  7 -> 20 [size =\"41576448\"]\n  8 [size=\"64993280\", alpha=\"0.09\", expect_size=\"32496640\"] \n  8 -> 17 [size =\"32496640\"]\n  8 -> 18 [size =\"32496640\"]\n  8 -> 21 [size =\"32496640\"]\n  9 [size=\"38479872\", alpha=\"0.11\", expect_size=\"19239936\"] \n  9 -> 18 [size =\"19239936\"]\n  9 -> 18 [size =\"19239936\"]\n  9 -> 21 [size =\"19239936\"]\n  10 [size=\"102932480\", alpha=\"0.00\", expect_size=\"51466240\"] \n  10 -> 17 [size =\"51466240\"]\n  10 -> 21 [size =\"51466240\"]\n  11 [size=\"80865280\", alpha=\"0.19\", expect_size=\"40432640\"] \n  11 -> 16 [size =\"40432640\"]\n  11 -> 18 [size =\"40432640\"]\n  11 -> 19 [size =\"40432640\"]\n  11 -> 21 [size =\"40432640\"]\n  12 [size=\"14530560\", alpha=\"0.11\", expect_size=\"7265280\"] \n  12 -> 16 [size =\"7265280\"]\n  12 -> 18 [size =\"7265280\"]\n  12 -> 20 [size =\"7265280\"]\n  13 [size=\"34813952\", alpha=\"0.15\", expect_size=\"17406976\"] \n  13 -> 16 [size =\"17406976\"]\n  13 -> 17 [size =\"17406976\"]\n  13 -> 20 [size =\"17406976\"]\n  14 [size=\"59723776\", alpha=\"0.09\", expect_size=\"29861888\"] \n  14 -> 16 [size =\"29861888\"]\n  14 -> 20 [size =\"29861888\"]\n  14 -> 21 [size =\"29861888\"]\n  15 [size=\"86722560\", alpha=\"0.04\", expect_size=\"43361280\"] \n  15 -> 16 [size =\"43361280\"]\n  15 -> 17 [size =\"43361280\"]\n  15 -> 20 [size =\"43361280\"]\n  16 [size=\"79742976\", alpha=\"0.09\", expect_size=\"39871488\"] \n  16 -> 22 [size =\"39871488\"]\n  16 -> 24 [size =\"39871488\"]\n  16 -> 27 [size =\"39871488\"]\n  16 -> 27 [size =\"39871488\"]\n  16 -> 28 [size =\"39871488\"]\n  16 -> 30 [size =\"39871488\"]\n  16 -> 31 [size =\"39871488\"]\n  16 -> 32 [size =\"39871488\"]\n  16 -> 33 [size =\"39871488\"]\n  17 [size=\"16089088\", alpha=\"0.14\", expect_size=\"8044544\"] \n  17 -> 22 [size =\"8044544\"]\n  17 -> 24 [size =\"8044544\"]\n  17 -> 30 [size =\"8044544\"]\n  17 -> 31 [size =\"8044544\"]\n  17 -> 32 [size =\"8044544\"]\n  18 [size=\"48836608\", alpha=\"0.02\", expect_size=\"24418304\"] \n  18 -> 22 [size =\"24418304\"]\n  18 -> 24 [size =\"24418304\"]\n  18 -> 27 [size =\"24418304\"]\n  18 -> 28 [size =\"24418304\"]\n  18 -> 32 [size =\"24418304\"]\n  18 -> 33 [size =\"24418304\"]\n  19 [size=\"90849280\", alpha=\"0.11\", expect_size=\"45424640\"] \n  19 -> 22 [size =\"45424640\"]\n  19 -> 23 [size =\"45424640\"]\n  19 -> 25 [size =\"45424640\"]\n  19 -> 26 [size =\"45424640\"]\n  19 -> 27 [size =\"45424640\"]\n  19 -> 28 [size =\"45424640\"]\n  19 -> 29 [size =\"45424640\"]\n  19 -> 30 [size =\"45424640\"]\n  19 -> 32 [size =\"45424640\"]\n  19 -> 33 [size =\"45424640\"]\n  20 [size=\"50337792\", alpha=\"0.01\", expect_size=\"25168896\"] \n  20 -> 22 [size =\"25168896\"]\n  20 -> 24 [size =\"25168896\"]\n  20 -> 27 [size =\"25168896\"]\n  20 -> 29 [size =\"25168896\"]\n  20 -> 30 [size =\"25168896\"]\n  20 -> 32 [size =\"25168896\"]\n  21 [size=\"51488768\", alpha=\"0.03\", expect_size=\"25744384\"] \n  21 -> 22 [size =\"25744384\"]\n  21 -> 24 [size =\"25744384\"]\n  21 -> 26 [size =\"25744384\"]\n  21 -> 27 [size =\"25744384\"]\n  21 -> 28 [size =\"25744384\"]\n  21 -> 30 [size =\"25744384\"]\n  22 [size=\"46462976\", alpha=\"0.14\", expect_size=\"23231488\"] \n  22 -> 37 [size =\"23231488\"]\n  22 -> 37 [size =\"23231488\"]\n  23 [size=\"98322432\", alpha=\"0.06\", expect_size=\"49161216\"] \n  23 -> 34 [size =\"49161216\"]\n  24 [size=\"73402368\", alpha=\"0.15\", expect_size=\"36701184\"] \n  24 -> 35 [size =\"36701184\"]\n  24 -> 37 [size =\"36701184\"]\n  25 [size=\"20254720\", alpha=\"0.01\", expect_size=\"10127360\"] \n  25 -> 35 [size =\"10127360\"]\n  25 -> 36 [size =\"10127360\"]\n  25 -> 37 [size =\"10127360\"]\n  25 -> 39 [size =\"10127360\"]\n  26 [size=\"36886528\", alpha=\"0.11\", expect_size=\"18443264\"] \n  26 -> 35 [size =\"18443264\"]\n  26 -> 37 [size =\"18443264\"]\n  26 -> 37 [size =\"18443264\"]\n  27 [size=\"79665152\", alpha=\"0.16\", expect_size=\"39832576\"] \n  27 -> 34 [size =\"39832576\"]\n  27 -> 35 [size =\"39832576\"]\n  27 -> 36 [size =\"39832576\"]\n  27 -> 37 [size =\"39832576\"]\n  28 [size=\"49430528\", alpha=\"0.12\", expect_size=\"24715264\"] \n  28 -> 34 [size =\"24715264\"]\n  28 -> 35 [size =\"24715264\"]\n  28 -> 36 [size =\"24715264\"]\n  28 -> 37 [size =\"24715264\"]\n  28 -> 39 [size =\"24715264\"]\n  29 [size=\"58929152\", alpha=\"0.15\", expect_size=\"29464576\"] \n  29 -> 34 [size =\"29464576\"]\n  29 -> 35 [size =\"29464576\"]\n  29 -> 36 [size =\"29464576\"]\n  29 -> 38 [size =\"29464576\"]\n  30 [size=\"16394240\", alpha=\"0.17\", expect_size=\"8197120\"] \n  30 -> 34 [size =\"8197120\"]\n  30 -> 37 [size =\"8197120\"]\n  30 -> 39 [size =\"8197120\"]\n  31 [size=\"19101696\", alpha=\"0.14\", expect_size=\"9550848\"] \n  31 -> 34 [size =\"9550848\"]\n  31 -> 36 [size =\"9550848\"]\n  31 -> 37 [size =\"9550848\"]\n  31 -> 39 [size =\"9550848\"]\n  32 [size=\"34017280\", alpha=\"0.12\", expect_size=\"17008640\"] \n  32 -> 34 [size =\"17008640\"]\n  32 -> 36 [size =\"17008640\"]\n  32 -> 39 [size =\"17008640\"]\n  33 [size=\"99579904\", alpha=\"0.15\", expect_size=\"49789952\"] \n  33 -> 35 [size =\"49789952\"]\n  33 -> 37 [size =\"49789952\"]\n  33 -> 39 [size =\"49789952\"]\n  33 -> 40 [size =\"49789952\"]\n  34 [size=\"31543296\", alpha=\"0.09\", expect_size=\"15771648\"] \n  35 [size=\"101515264\", alpha=\"0.19\", expect_size=\"50757632\"] \n  36 [size=\"11925504\", alpha=\"0.03\", expect_size=\"5962752\"] \n  37 [size=\"62459904\", alpha=\"0.09\", expect_size=\"31229952\"] \n  38 [size=\"42672128\", alpha=\"0.02\", expect_size=\"21336064\"] \n  39 [size=\"101443584\", alpha=\"0.13\", expect_size=\"50721792\"] \n  40 [size=\"78024704\", alpha=\"0.12\", expect_size=\"39012352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77395968\", alpha=\"0.09\", expect_size=\"38697984\"] \n  1 -> 2 [size =\"38697984\"]\n  2 [size=\"36763648\", alpha=\"0.13\", expect_size=\"18381824\"] \n  2 -> 3 [size =\"18381824\"]\n  3 [size=\"56463360\", alpha=\"0.09\", expect_size=\"28231680\"] \n  3 -> 4 [size =\"28231680\"]\n  4 [size=\"86341632\", alpha=\"0.17\", expect_size=\"43170816\"] \n  4 -> 5 [size =\"43170816\"]\n  5 [size=\"80572416\", alpha=\"0.17\", expect_size=\"40286208\"] \n  5 -> 6 [size =\"40286208\"]\n  6 [size=\"15656960\", alpha=\"0.04\", expect_size=\"7828480\"] \n  6 -> 7 [size =\"7828480\"]\n  7 [size=\"48052224\", alpha=\"0.05\", expect_size=\"24026112\"] \n  7 -> 8 [size =\"24026112\"]\n  8 [size=\"30242816\", alpha=\"0.04\", expect_size=\"15121408\"] \n  8 -> 9 [size =\"15121408\"]\n  9 [size=\"64194560\", alpha=\"0.04\", expect_size=\"32097280\"] \n  9 -> 10 [size =\"32097280\"]\n  10 [size=\"86657024\", alpha=\"0.03\", expect_size=\"43328512\"] \n  10 -> 11 [size =\"43328512\"]\n  11 [size=\"82350080\", alpha=\"0.14\", expect_size=\"41175040\"] \n  11 -> 12 [size =\"41175040\"]\n  12 [size=\"32120832\", alpha=\"0.04\", expect_size=\"16060416\"] \n  12 -> 13 [size =\"16060416\"]\n  13 [size=\"94005248\", alpha=\"0.19\", expect_size=\"47002624\"] \n  13 -> 14 [size =\"47002624\"]\n  14 [size=\"40073216\", alpha=\"0.04\", expect_size=\"20036608\"] \n  14 -> 15 [size =\"20036608\"]\n  15 [size=\"26501120\", alpha=\"0.12\", expect_size=\"13250560\"] \n  15 -> 16 [size =\"13250560\"]\n  16 [size=\"10637312\", alpha=\"0.02\", expect_size=\"5318656\"] \n  16 -> 17 [size =\"5318656\"]\n  17 [size=\"27734016\", alpha=\"0.01\", expect_size=\"13867008\"] \n  17 -> 18 [size =\"13867008\"]\n  18 [size=\"53032960\", alpha=\"0.08\", expect_size=\"26516480\"] \n  18 -> 19 [size =\"26516480\"]\n  19 [size=\"73234432\", alpha=\"0.01\", expect_size=\"36617216\"] \n  19 -> 20 [size =\"36617216\"]\n  20 [size=\"90286080\", alpha=\"0.11\", expect_size=\"45143040\"] \n  20 -> 21 [size =\"45143040\"]\n  21 [size=\"104235008\", alpha=\"0.15\", expect_size=\"52117504\"] \n  21 -> 22 [size =\"52117504\"]\n  22 [size=\"74522624\", alpha=\"0.04\", expect_size=\"37261312\"] \n  22 -> 23 [size =\"37261312\"]\n  23 [size=\"94197760\", alpha=\"0.03\", expect_size=\"47098880\"] \n  23 -> 24 [size =\"47098880\"]\n  24 [size=\"89200640\", alpha=\"0.18\", expect_size=\"44600320\"] \n  24 -> 25 [size =\"44600320\"]\n  25 [size=\"12845056\", alpha=\"0.08\", expect_size=\"6422528\"] \n  25 -> 26 [size =\"6422528\"]\n  26 [size=\"71129088\", alpha=\"0.19\", expect_size=\"35564544\"] \n  26 -> 27 [size =\"35564544\"]\n  27 [size=\"79517696\", alpha=\"0.18\", expect_size=\"39758848\"] \n  27 -> 28 [size =\"39758848\"]\n  28 [size=\"84398080\", alpha=\"0.02\", expect_size=\"42199040\"] \n  28 -> 29 [size =\"42199040\"]\n  29 [size=\"28467200\", alpha=\"0.16\", expect_size=\"14233600\"] \n  29 -> 30 [size =\"14233600\"]\n  30 [size=\"34504704\", alpha=\"0.07\", expect_size=\"17252352\"] \n  30 -> 31 [size =\"17252352\"]\n  31 [size=\"85739520\", alpha=\"0.13\", expect_size=\"42869760\"] \n  31 -> 32 [size =\"42869760\"]\n  32 [size=\"60336128\", alpha=\"0.04\", expect_size=\"30168064\"] \n  32 -> 33 [size =\"30168064\"]\n  33 [size=\"78946304\", alpha=\"0.12\", expect_size=\"39473152\"] \n  33 -> 34 [size =\"39473152\"]\n  34 [size=\"93179904\", alpha=\"0.06\", expect_size=\"46589952\"] \n  34 -> 35 [size =\"46589952\"]\n  35 [size=\"84520960\", alpha=\"0.04\", expect_size=\"42260480\"] \n  35 -> 36 [size =\"42260480\"]\n  36 [size=\"28684288\", alpha=\"0.02\", expect_size=\"14342144\"] \n  36 -> 37 [size =\"14342144\"]\n  37 [size=\"25212928\", alpha=\"0.04\", expect_size=\"12606464\"] \n  37 -> 38 [size =\"12606464\"]\n  38 [size=\"17301504\", alpha=\"0.15\", expect_size=\"8650752\"] \n  38 -> 39 [size =\"8650752\"]\n  39 [size=\"24709120\", alpha=\"0.19\", expect_size=\"12354560\"] \n  39 -> 40 [size =\"12354560\"]\n  40 [size=\"101146624\", alpha=\"0.19\", expect_size=\"50573312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89948160\", alpha=\"0.08\", expect_size=\"35979264\"] \n  1 -> 34 [size =\"35979264\"]\n  1 -> 38 [size =\"35979264\"]\n  2 [size=\"109468160\", alpha=\"0.02\", expect_size=\"43787264\"] \n  2 -> 31 [size =\"43787264\"]\n  2 -> 34 [size =\"43787264\"]\n  2 -> 35 [size =\"43787264\"]\n  2 -> 36 [size =\"43787264\"]\n  2 -> 39 [size =\"43787264\"]\n  3 [size=\"51256320\", alpha=\"0.02\", expect_size=\"20502528\"] \n  3 -> 31 [size =\"20502528\"]\n  3 -> 39 [size =\"20502528\"]\n  4 [size=\"111288320\", alpha=\"0.02\", expect_size=\"44515328\"] \n  4 -> 31 [size =\"44515328\"]\n  4 -> 34 [size =\"44515328\"]\n  4 -> 36 [size =\"44515328\"]\n  5 [size=\"91563520\", alpha=\"0.11\", expect_size=\"36625408\"] \n  5 -> 33 [size =\"36625408\"]\n  5 -> 34 [size =\"36625408\"]\n  5 -> 36 [size =\"36625408\"]\n  5 -> 38 [size =\"36625408\"]\n  5 -> 39 [size =\"36625408\"]\n  6 [size=\"106744320\", alpha=\"0.16\", expect_size=\"42697728\"] \n  6 -> 34 [size =\"42697728\"]\n  6 -> 35 [size =\"42697728\"]\n  6 -> 38 [size =\"42697728\"]\n  7 [size=\"79546880\", alpha=\"0.12\", expect_size=\"31818752\"] \n  7 -> 33 [size =\"31818752\"]\n  7 -> 38 [size =\"31818752\"]\n  7 -> 39 [size =\"31818752\"]\n  8 [size=\"37516800\", alpha=\"0.20\", expect_size=\"15006720\"] \n  8 -> 31 [size =\"15006720\"]\n  8 -> 34 [size =\"15006720\"]\n  8 -> 39 [size =\"15006720\"]\n  9 [size=\"102238720\", alpha=\"0.13\", expect_size=\"40895488\"] \n  9 -> 31 [size =\"40895488\"]\n  9 -> 33 [size =\"40895488\"]\n  9 -> 35 [size =\"40895488\"]\n  10 [size=\"36574720\", alpha=\"0.06\", expect_size=\"14629888\"] \n  10 -> 34 [size =\"14629888\"]\n  10 -> 39 [size =\"14629888\"]\n  11 [size=\"58101760\", alpha=\"0.07\", expect_size=\"23240704\"] \n  11 -> 31 [size =\"23240704\"]\n  11 -> 34 [size =\"23240704\"]\n  11 -> 39 [size =\"23240704\"]\n  12 [size=\"103603200\", alpha=\"0.02\", expect_size=\"41441280\"] \n  12 -> 33 [size =\"41441280\"]\n  12 -> 35 [size =\"41441280\"]\n  13 [size=\"113894400\", alpha=\"0.03\", expect_size=\"45557760\"] \n  13 -> 36 [size =\"45557760\"]\n  13 -> 38 [size =\"45557760\"]\n  14 [size=\"123998720\", alpha=\"0.00\", expect_size=\"49599488\"] \n  14 -> 35 [size =\"49599488\"]\n  14 -> 39 [size =\"49599488\"]\n  15 [size=\"16153600\", alpha=\"0.13\", expect_size=\"6461440\"] \n  15 -> 34 [size =\"6461440\"]\n  15 -> 38 [size =\"6461440\"]\n  15 -> 39 [size =\"6461440\"]\n  16 [size=\"83921920\", alpha=\"0.17\", expect_size=\"33568768\"] \n  16 -> 34 [size =\"33568768\"]\n  16 -> 36 [size =\"33568768\"]\n  16 -> 39 [size =\"33568768\"]\n  17 [size=\"63278080\", alpha=\"0.18\", expect_size=\"25311232\"] \n  17 -> 34 [size =\"25311232\"]\n  17 -> 36 [size =\"25311232\"]\n  17 -> 40 [size =\"25311232\"]\n  18 [size=\"14246400\", alpha=\"0.03\", expect_size=\"5698560\"] \n  18 -> 31 [size =\"5698560\"]\n  18 -> 34 [size =\"5698560\"]\n  18 -> 35 [size =\"5698560\"]\n  18 -> 36 [size =\"5698560\"]\n  18 -> 37 [size =\"5698560\"]\n  18 -> 39 [size =\"5698560\"]\n  18 -> 40 [size =\"5698560\"]\n  19 [size=\"14146560\", alpha=\"0.08\", expect_size=\"5658624\"] \n  19 -> 31 [size =\"5658624\"]\n  19 -> 36 [size =\"5658624\"]\n  19 -> 39 [size =\"5658624\"]\n  20 [size=\"93483520\", alpha=\"0.18\", expect_size=\"37393408\"] \n  20 -> 31 [size =\"37393408\"]\n  20 -> 39 [size =\"37393408\"]\n  20 -> 39 [size =\"37393408\"]\n  21 [size=\"127767040\", alpha=\"0.02\", expect_size=\"51106816\"] \n  21 -> 31 [size =\"51106816\"]\n  21 -> 32 [size =\"51106816\"]\n  21 -> 33 [size =\"51106816\"]\n  21 -> 34 [size =\"51106816\"]\n  21 -> 36 [size =\"51106816\"]\n  21 -> 39 [size =\"51106816\"]\n  21 -> 40 [size =\"51106816\"]\n  22 [size=\"49807360\", alpha=\"0.02\", expect_size=\"19922944\"] \n  22 -> 31 [size =\"19922944\"]\n  22 -> 33 [size =\"19922944\"]\n  22 -> 39 [size =\"19922944\"]\n  23 [size=\"59530240\", alpha=\"0.09\", expect_size=\"23812096\"] \n  23 -> 31 [size =\"23812096\"]\n  23 -> 33 [size =\"23812096\"]\n  23 -> 34 [size =\"23812096\"]\n  23 -> 35 [size =\"23812096\"]\n  23 -> 39 [size =\"23812096\"]\n  24 [size=\"75865600\", alpha=\"0.12\", expect_size=\"30346240\"] \n  24 -> 34 [size =\"30346240\"]\n  24 -> 39 [size =\"30346240\"]\n  25 [size=\"77086720\", alpha=\"0.09\", expect_size=\"30834688\"] \n  25 -> 31 [size =\"30834688\"]\n  25 -> 33 [size =\"30834688\"]\n  25 -> 34 [size =\"30834688\"]\n  25 -> 39 [size =\"30834688\"]\n  26 [size=\"34370560\", alpha=\"0.01\", expect_size=\"13748224\"] \n  26 -> 31 [size =\"13748224\"]\n  26 -> 33 [size =\"13748224\"]\n  26 -> 34 [size =\"13748224\"]\n  26 -> 40 [size =\"13748224\"]\n  27 [size=\"15503360\", alpha=\"0.05\", expect_size=\"6201344\"] \n  27 -> 31 [size =\"6201344\"]\n  27 -> 33 [size =\"6201344\"]\n  27 -> 39 [size =\"6201344\"]\n  28 [size=\"120017920\", alpha=\"0.13\", expect_size=\"48007168\"] \n  28 -> 31 [size =\"48007168\"]\n  29 [size=\"20339200\", alpha=\"0.16\", expect_size=\"8135680\"] \n  29 -> 31 [size =\"8135680\"]\n  29 -> 34 [size =\"8135680\"]\n  29 -> 37 [size =\"8135680\"]\n  29 -> 39 [size =\"8135680\"]\n  30 [size=\"65840640\", alpha=\"0.03\", expect_size=\"26336256\"] \n  30 -> 34 [size =\"26336256\"]\n  30 -> 36 [size =\"26336256\"]\n  31 [size=\"56852480\", alpha=\"0.17\", expect_size=\"22740992\"] \n  32 [size=\"70213120\", alpha=\"0.07\", expect_size=\"28085248\"] \n  33 [size=\"84321280\", alpha=\"0.14\", expect_size=\"33728512\"] \n  34 [size=\"19358720\", alpha=\"0.20\", expect_size=\"7743488\"] \n  35 [size=\"91473920\", alpha=\"0.06\", expect_size=\"36589568\"] \n  36 [size=\"25231360\", alpha=\"0.04\", expect_size=\"10092544\"] \n  37 [size=\"32230400\", alpha=\"0.11\", expect_size=\"12892160\"] \n  38 [size=\"60948480\", alpha=\"0.18\", expect_size=\"24379392\"] \n  39 [size=\"17830400\", alpha=\"0.05\", expect_size=\"7132160\"] \n  40 [size=\"109975040\", alpha=\"0.06\", expect_size=\"43990016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102586880\", alpha=\"0.05\", expect_size=\"41034752\"] \n  1 -> 37 [size =\"41034752\"]\n  2 [size=\"102860800\", alpha=\"0.04\", expect_size=\"41144320\"] \n  2 -> 37 [size =\"41144320\"]\n  3 [size=\"64691200\", alpha=\"0.12\", expect_size=\"25876480\"] \n  4 [size=\"90923520\", alpha=\"0.14\", expect_size=\"36369408\"] \n  4 -> 38 [size =\"36369408\"]\n  5 [size=\"90091520\", alpha=\"0.19\", expect_size=\"36036608\"] \n  6 [size=\"110714880\", alpha=\"0.03\", expect_size=\"44285952\"] \n  6 -> 37 [size =\"44285952\"]\n  7 [size=\"38348800\", alpha=\"0.20\", expect_size=\"15339520\"] \n  7 -> 37 [size =\"15339520\"]\n  8 [size=\"66913280\", alpha=\"0.09\", expect_size=\"26765312\"] \n  8 -> 38 [size =\"26765312\"]\n  8 -> 39 [size =\"26765312\"]\n  8 -> 40 [size =\"26765312\"]\n  9 [size=\"93683200\", alpha=\"0.07\", expect_size=\"37473280\"] \n  9 -> 37 [size =\"37473280\"]\n  9 -> 39 [size =\"37473280\"]\n  9 -> 40 [size =\"37473280\"]\n  10 [size=\"111672320\", alpha=\"0.04\", expect_size=\"44668928\"] \n  10 -> 37 [size =\"44668928\"]\n  10 -> 40 [size =\"44668928\"]\n  10 -> 40 [size =\"44668928\"]\n  11 [size=\"53818880\", alpha=\"0.18\", expect_size=\"21527552\"] \n  11 -> 37 [size =\"21527552\"]\n  11 -> 38 [size =\"21527552\"]\n  11 -> 39 [size =\"21527552\"]\n  11 -> 40 [size =\"21527552\"]\n  12 [size=\"83860480\", alpha=\"0.07\", expect_size=\"33544192\"] \n  12 -> 40 [size =\"33544192\"]\n  13 [size=\"104860160\", alpha=\"0.11\", expect_size=\"41944064\"] \n  13 -> 40 [size =\"41944064\"]\n  14 [size=\"58275840\", alpha=\"0.05\", expect_size=\"23310336\"] \n  14 -> 37 [size =\"23310336\"]\n  14 -> 39 [size =\"23310336\"]\n  14 -> 40 [size =\"23310336\"]\n  15 [size=\"21657600\", alpha=\"0.06\", expect_size=\"8663040\"] \n  15 -> 37 [size =\"8663040\"]\n  15 -> 39 [size =\"8663040\"]\n  15 -> 40 [size =\"8663040\"]\n  16 [size=\"14295040\", alpha=\"0.17\", expect_size=\"5718016\"] \n  16 -> 39 [size =\"5718016\"]\n  16 -> 39 [size =\"5718016\"]\n  16 -> 40 [size =\"5718016\"]\n  17 [size=\"31769600\", alpha=\"0.11\", expect_size=\"12707840\"] \n  17 -> 37 [size =\"12707840\"]\n  17 -> 39 [size =\"12707840\"]\n  17 -> 40 [size =\"12707840\"]\n  18 [size=\"30456320\", alpha=\"0.15\", expect_size=\"12182528\"] \n  18 -> 39 [size =\"12182528\"]\n  18 -> 40 [size =\"12182528\"]\n  19 [size=\"84249600\", alpha=\"0.18\", expect_size=\"33699840\"] \n  20 [size=\"126136320\", alpha=\"0.13\", expect_size=\"50454528\"] \n  20 -> 37 [size =\"50454528\"]\n  20 -> 40 [size =\"50454528\"]\n  21 [size=\"30471680\", alpha=\"0.04\", expect_size=\"12188672\"] \n  21 -> 40 [size =\"12188672\"]\n  22 [size=\"15933440\", alpha=\"0.10\", expect_size=\"6373376\"] \n  22 -> 40 [size =\"6373376\"]\n  23 [size=\"56174080\", alpha=\"0.04\", expect_size=\"22469632\"] \n  23 -> 37 [size =\"22469632\"]\n  23 -> 39 [size =\"22469632\"]\n  24 [size=\"122890240\", alpha=\"0.12\", expect_size=\"49156096\"] \n  24 -> 37 [size =\"49156096\"]\n  24 -> 39 [size =\"49156096\"]\n  25 [size=\"33144320\", alpha=\"0.13\", expect_size=\"13257728\"] \n  25 -> 37 [size =\"13257728\"]\n  26 [size=\"66818560\", alpha=\"0.10\", expect_size=\"26727424\"] \n  26 -> 37 [size =\"26727424\"]\n  27 [size=\"51952640\", alpha=\"0.12\", expect_size=\"20781056\"] \n  28 [size=\"114344960\", alpha=\"0.03\", expect_size=\"45737984\"] \n  29 [size=\"85864960\", alpha=\"0.07\", expect_size=\"34345984\"] \n  30 [size=\"72053760\", alpha=\"0.09\", expect_size=\"28821504\"] \n  31 [size=\"31605760\", alpha=\"0.17\", expect_size=\"12642304\"] \n  31 -> 37 [size =\"12642304\"]\n  32 [size=\"54005760\", alpha=\"0.17\", expect_size=\"21602304\"] \n  32 -> 40 [size =\"21602304\"]\n  33 [size=\"111040000\", alpha=\"0.12\", expect_size=\"44416000\"] \n  33 -> 39 [size =\"44416000\"]\n  34 [size=\"18368000\", alpha=\"0.16\", expect_size=\"7347200\"] \n  34 -> 37 [size =\"7347200\"]\n  34 -> 40 [size =\"7347200\"]\n  35 [size=\"89733120\", alpha=\"0.00\", expect_size=\"35893248\"] \n  35 -> 40 [size =\"35893248\"]\n  35 -> 40 [size =\"35893248\"]\n  36 [size=\"48227840\", alpha=\"0.05\", expect_size=\"19291136\"] \n  36 -> 38 [size =\"19291136\"]\n  37 [size=\"109427200\", alpha=\"0.13\", expect_size=\"43770880\"] \n  38 [size=\"62643200\", alpha=\"0.05\", expect_size=\"25057280\"] \n  39 [size=\"79646720\", alpha=\"0.08\", expect_size=\"31858688\"] \n  40 [size=\"123051520\", alpha=\"0.10\", expect_size=\"49220608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27752960\", alpha=\"0.14\", expect_size=\"11101184\"] \n  1 -> 11 [size =\"11101184\"]\n  1 -> 14 [size =\"11101184\"]\n  1 -> 19 [size =\"11101184\"]\n  1 -> 20 [size =\"11101184\"]\n  2 [size=\"44940800\", alpha=\"0.08\", expect_size=\"17976320\"] \n  2 -> 15 [size =\"17976320\"]\n  2 -> 16 [size =\"17976320\"]\n  2 -> 20 [size =\"17976320\"]\n  3 [size=\"28006400\", alpha=\"0.20\", expect_size=\"11202560\"] \n  3 -> 15 [size =\"11202560\"]\n  3 -> 20 [size =\"11202560\"]\n  4 [size=\"48025600\", alpha=\"0.09\", expect_size=\"19210240\"] \n  4 -> 10 [size =\"19210240\"]\n  5 [size=\"108011520\", alpha=\"0.10\", expect_size=\"43204608\"] \n  5 -> 11 [size =\"43204608\"]\n  5 -> 16 [size =\"43204608\"]\n  5 -> 19 [size =\"43204608\"]\n  6 [size=\"128307200\", alpha=\"0.05\", expect_size=\"51322880\"] \n  6 -> 12 [size =\"51322880\"]\n  6 -> 19 [size =\"51322880\"]\n  7 [size=\"60367360\", alpha=\"0.04\", expect_size=\"24146944\"] \n  7 -> 10 [size =\"24146944\"]\n  7 -> 11 [size =\"24146944\"]\n  7 -> 13 [size =\"24146944\"]\n  7 -> 15 [size =\"24146944\"]\n  7 -> 17 [size =\"24146944\"]\n  7 -> 18 [size =\"24146944\"]\n  7 -> 19 [size =\"24146944\"]\n  8 [size=\"121922560\", alpha=\"0.11\", expect_size=\"48769024\"] \n  8 -> 11 [size =\"48769024\"]\n  8 -> 16 [size =\"48769024\"]\n  8 -> 17 [size =\"48769024\"]\n  8 -> 18 [size =\"48769024\"]\n  9 [size=\"77998080\", alpha=\"0.00\", expect_size=\"31199232\"] \n  9 -> 11 [size =\"31199232\"]\n  9 -> 16 [size =\"31199232\"]\n  9 -> 17 [size =\"31199232\"]\n  10 [size=\"84280320\", alpha=\"0.08\", expect_size=\"33712128\"] \n  10 -> 25 [size =\"33712128\"]\n  10 -> 27 [size =\"33712128\"]\n  11 [size=\"123345920\", alpha=\"0.12\", expect_size=\"49338368\"] \n  11 -> 23 [size =\"49338368\"]\n  11 -> 25 [size =\"49338368\"]\n  11 -> 27 [size =\"49338368\"]\n  12 [size=\"86814720\", alpha=\"0.13\", expect_size=\"34725888\"] \n  12 -> 23 [size =\"34725888\"]\n  12 -> 25 [size =\"34725888\"]\n  12 -> 27 [size =\"34725888\"]\n  12 -> 28 [size =\"34725888\"]\n  12 -> 29 [size =\"34725888\"]\n  12 -> 31 [size =\"34725888\"]\n  13 [size=\"15866880\", alpha=\"0.13\", expect_size=\"6346752\"] \n  13 -> 21 [size =\"6346752\"]\n  13 -> 22 [size =\"6346752\"]\n  13 -> 25 [size =\"6346752\"]\n  13 -> 26 [size =\"6346752\"]\n  13 -> 27 [size =\"6346752\"]\n  14 [size=\"13757440\", alpha=\"0.06\", expect_size=\"5502976\"] \n  14 -> 21 [size =\"5502976\"]\n  14 -> 25 [size =\"5502976\"]\n  14 -> 27 [size =\"5502976\"]\n  14 -> 30 [size =\"5502976\"]\n  15 [size=\"69504000\", alpha=\"0.13\", expect_size=\"27801600\"] \n  15 -> 22 [size =\"27801600\"]\n  15 -> 27 [size =\"27801600\"]\n  15 -> 31 [size =\"27801600\"]\n  16 [size=\"126540800\", alpha=\"0.00\", expect_size=\"50616320\"] \n  16 -> 22 [size =\"50616320\"]\n  16 -> 31 [size =\"50616320\"]\n  17 [size=\"40860160\", alpha=\"0.04\", expect_size=\"16344064\"] \n  17 -> 23 [size =\"16344064\"]\n  17 -> 24 [size =\"16344064\"]\n  17 -> 25 [size =\"16344064\"]\n  17 -> 29 [size =\"16344064\"]\n  17 -> 31 [size =\"16344064\"]\n  18 [size=\"64581120\", alpha=\"0.16\", expect_size=\"25832448\"] \n  18 -> 21 [size =\"25832448\"]\n  18 -> 26 [size =\"25832448\"]\n  18 -> 28 [size =\"25832448\"]\n  18 -> 29 [size =\"25832448\"]\n  19 [size=\"127080960\", alpha=\"0.06\", expect_size=\"50832384\"] \n  19 -> 21 [size =\"50832384\"]\n  19 -> 27 [size =\"50832384\"]\n  19 -> 28 [size =\"50832384\"]\n  19 -> 29 [size =\"50832384\"]\n  20 [size=\"129822720\", alpha=\"0.02\", expect_size=\"51929088\"] \n  20 -> 28 [size =\"51929088\"]\n  20 -> 29 [size =\"51929088\"]\n  20 -> 31 [size =\"51929088\"]\n  21 [size=\"57853440\", alpha=\"0.01\", expect_size=\"23141376\"] \n  21 -> 36 [size =\"23141376\"]\n  21 -> 37 [size =\"23141376\"]\n  21 -> 38 [size =\"23141376\"]\n  22 [size=\"128110080\", alpha=\"0.05\", expect_size=\"51244032\"] \n  22 -> 33 [size =\"51244032\"]\n  22 -> 34 [size =\"51244032\"]\n  22 -> 40 [size =\"51244032\"]\n  23 [size=\"86525440\", alpha=\"0.11\", expect_size=\"34610176\"] \n  23 -> 36 [size =\"34610176\"]\n  24 [size=\"43466240\", alpha=\"0.04\", expect_size=\"17386496\"] \n  24 -> 32 [size =\"17386496\"]\n  24 -> 35 [size =\"17386496\"]\n  24 -> 36 [size =\"17386496\"]\n  24 -> 39 [size =\"17386496\"]\n  25 [size=\"75955200\", alpha=\"0.12\", expect_size=\"30382080\"] \n  25 -> 32 [size =\"30382080\"]\n  25 -> 34 [size =\"30382080\"]\n  25 -> 36 [size =\"30382080\"]\n  26 [size=\"33077760\", alpha=\"0.00\", expect_size=\"13231104\"] \n  26 -> 32 [size =\"13231104\"]\n  26 -> 34 [size =\"13231104\"]\n  26 -> 36 [size =\"13231104\"]\n  26 -> 38 [size =\"13231104\"]\n  27 [size=\"33200640\", alpha=\"0.17\", expect_size=\"13280256\"] \n  27 -> 36 [size =\"13280256\"]\n  27 -> 38 [size =\"13280256\"]\n  28 [size=\"57495040\", alpha=\"0.11\", expect_size=\"22998016\"] \n  28 -> 33 [size =\"22998016\"]\n  28 -> 34 [size =\"22998016\"]\n  28 -> 35 [size =\"22998016\"]\n  28 -> 36 [size =\"22998016\"]\n  28 -> 37 [size =\"22998016\"]\n  28 -> 38 [size =\"22998016\"]\n  29 [size=\"35781120\", alpha=\"0.17\", expect_size=\"14312448\"] \n  29 -> 32 [size =\"14312448\"]\n  29 -> 35 [size =\"14312448\"]\n  29 -> 37 [size =\"14312448\"]\n  29 -> 38 [size =\"14312448\"]\n  30 [size=\"69701120\", alpha=\"0.14\", expect_size=\"27880448\"] \n  30 -> 34 [size =\"27880448\"]\n  30 -> 35 [size =\"27880448\"]\n  30 -> 38 [size =\"27880448\"]\n  30 -> 40 [size =\"27880448\"]\n  31 [size=\"81034240\", alpha=\"0.11\", expect_size=\"32413696\"] \n  31 -> 32 [size =\"32413696\"]\n  31 -> 38 [size =\"32413696\"]\n  32 [size=\"84426240\", alpha=\"0.20\", expect_size=\"33770496\"] \n  33 [size=\"111715840\", alpha=\"0.09\", expect_size=\"44686336\"] \n  34 [size=\"59834880\", alpha=\"0.18\", expect_size=\"23933952\"] \n  35 [size=\"81674240\", alpha=\"0.17\", expect_size=\"32669696\"] \n  36 [size=\"36203520\", alpha=\"0.15\", expect_size=\"14481408\"] \n  37 [size=\"38630400\", alpha=\"0.18\", expect_size=\"15452160\"] \n  38 [size=\"18247680\", alpha=\"0.10\", expect_size=\"7299072\"] \n  39 [size=\"83870720\", alpha=\"0.01\", expect_size=\"33548288\"] \n  40 [size=\"64463360\", alpha=\"0.12\", expect_size=\"25785344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31477760\", alpha=\"0.13\", expect_size=\"12591104\"] \n  1 -> 6 [size =\"12591104\"]\n  1 -> 9 [size =\"12591104\"]\n  1 -> 10 [size =\"12591104\"]\n  2 [size=\"48865280\", alpha=\"0.08\", expect_size=\"19546112\"] \n  2 -> 6 [size =\"19546112\"]\n  2 -> 7 [size =\"19546112\"]\n  2 -> 8 [size =\"19546112\"]\n  2 -> 9 [size =\"19546112\"]\n  2 -> 10 [size =\"19546112\"]\n  3 [size=\"26590720\", alpha=\"0.03\", expect_size=\"10636288\"] \n  3 -> 5 [size =\"10636288\"]\n  3 -> 8 [size =\"10636288\"]\n  3 -> 8 [size =\"10636288\"]\n  3 -> 9 [size =\"10636288\"]\n  3 -> 10 [size =\"10636288\"]\n  4 [size=\"116812800\", alpha=\"0.16\", expect_size=\"46725120\"] \n  4 -> 6 [size =\"46725120\"]\n  4 -> 7 [size =\"46725120\"]\n  4 -> 8 [size =\"46725120\"]\n  4 -> 9 [size =\"46725120\"]\n  4 -> 10 [size =\"46725120\"]\n  5 [size=\"71777280\", alpha=\"0.16\", expect_size=\"28710912\"] \n  5 -> 12 [size =\"28710912\"]\n  5 -> 14 [size =\"28710912\"]\n  5 -> 15 [size =\"28710912\"]\n  6 [size=\"123271680\", alpha=\"0.17\", expect_size=\"49308672\"] \n  6 -> 13 [size =\"49308672\"]\n  6 -> 15 [size =\"49308672\"]\n  6 -> 15 [size =\"49308672\"]\n  7 [size=\"73822720\", alpha=\"0.15\", expect_size=\"29529088\"] \n  7 -> 11 [size =\"29529088\"]\n  7 -> 12 [size =\"29529088\"]\n  7 -> 15 [size =\"29529088\"]\n  8 [size=\"81861120\", alpha=\"0.20\", expect_size=\"32744448\"] \n  8 -> 12 [size =\"32744448\"]\n  8 -> 12 [size =\"32744448\"]\n  8 -> 13 [size =\"32744448\"]\n  8 -> 15 [size =\"32744448\"]\n  9 [size=\"41902080\", alpha=\"0.19\", expect_size=\"16760832\"] \n  9 -> 11 [size =\"16760832\"]\n  9 -> 13 [size =\"16760832\"]\n  9 -> 14 [size =\"16760832\"]\n  10 [size=\"99732480\", alpha=\"0.17\", expect_size=\"39892992\"] \n  10 -> 15 [size =\"39892992\"]\n  11 [size=\"82949120\", alpha=\"0.09\", expect_size=\"33179648\"] \n  11 -> 22 [size =\"33179648\"]\n  12 [size=\"40808960\", alpha=\"0.04\", expect_size=\"16323584\"] \n  12 -> 18 [size =\"16323584\"]\n  12 -> 19 [size =\"16323584\"]\n  12 -> 20 [size =\"16323584\"]\n  12 -> 21 [size =\"16323584\"]\n  12 -> 23 [size =\"16323584\"]\n  13 [size=\"87605760\", alpha=\"0.12\", expect_size=\"35042304\"] \n  13 -> 17 [size =\"35042304\"]\n  13 -> 19 [size =\"35042304\"]\n  13 -> 21 [size =\"35042304\"]\n  13 -> 23 [size =\"35042304\"]\n  14 [size=\"106990080\", alpha=\"0.09\", expect_size=\"42796032\"] \n  14 -> 16 [size =\"42796032\"]\n  14 -> 18 [size =\"42796032\"]\n  14 -> 19 [size =\"42796032\"]\n  14 -> 23 [size =\"42796032\"]\n  15 [size=\"82944000\", alpha=\"0.06\", expect_size=\"33177600\"] \n  15 -> 19 [size =\"33177600\"]\n  15 -> 21 [size =\"33177600\"]\n  15 -> 23 [size =\"33177600\"]\n  16 [size=\"59491840\", alpha=\"0.19\", expect_size=\"23796736\"] \n  16 -> 26 [size =\"23796736\"]\n  16 -> 28 [size =\"23796736\"]\n  17 [size=\"44705280\", alpha=\"0.17\", expect_size=\"17882112\"] \n  17 -> 24 [size =\"17882112\"]\n  17 -> 26 [size =\"17882112\"]\n  17 -> 27 [size =\"17882112\"]\n  17 -> 28 [size =\"17882112\"]\n  18 [size=\"130460160\", alpha=\"0.02\", expect_size=\"52184064\"] \n  18 -> 24 [size =\"52184064\"]\n  18 -> 26 [size =\"52184064\"]\n  18 -> 28 [size =\"52184064\"]\n  19 [size=\"129817600\", alpha=\"0.16\", expect_size=\"51927040\"] \n  19 -> 26 [size =\"51927040\"]\n  20 [size=\"125416960\", alpha=\"0.13\", expect_size=\"50166784\"] \n  20 -> 24 [size =\"50166784\"]\n  21 [size=\"110187520\", alpha=\"0.13\", expect_size=\"44075008\"] \n  21 -> 24 [size =\"44075008\"]\n  21 -> 26 [size =\"44075008\"]\n  21 -> 28 [size =\"44075008\"]\n  22 [size=\"43351040\", alpha=\"0.18\", expect_size=\"17340416\"] \n  22 -> 24 [size =\"17340416\"]\n  22 -> 25 [size =\"17340416\"]\n  22 -> 26 [size =\"17340416\"]\n  23 [size=\"68275200\", alpha=\"0.07\", expect_size=\"27310080\"] \n  23 -> 24 [size =\"27310080\"]\n  23 -> 25 [size =\"27310080\"]\n  23 -> 26 [size =\"27310080\"]\n  23 -> 27 [size =\"27310080\"]\n  24 [size=\"20431360\", alpha=\"0.12\", expect_size=\"8172544\"] \n  24 -> 31 [size =\"8172544\"]\n  25 [size=\"73932800\", alpha=\"0.08\", expect_size=\"29573120\"] \n  25 -> 31 [size =\"29573120\"]\n  26 [size=\"111941120\", alpha=\"0.03\", expect_size=\"44776448\"] \n  26 -> 29 [size =\"44776448\"]\n  26 -> 30 [size =\"44776448\"]\n  26 -> 31 [size =\"44776448\"]\n  27 [size=\"107914240\", alpha=\"0.07\", expect_size=\"43165696\"] \n  27 -> 31 [size =\"43165696\"]\n  28 [size=\"92139520\", alpha=\"0.04\", expect_size=\"36855808\"] \n  28 -> 31 [size =\"36855808\"]\n  29 [size=\"103546880\", alpha=\"0.05\", expect_size=\"41418752\"] \n  29 -> 32 [size =\"41418752\"]\n  29 -> 34 [size =\"41418752\"]\n  29 -> 35 [size =\"41418752\"]\n  29 -> 38 [size =\"41418752\"]\n  30 [size=\"79216640\", alpha=\"0.01\", expect_size=\"31686656\"] \n  30 -> 33 [size =\"31686656\"]\n  30 -> 34 [size =\"31686656\"]\n  30 -> 35 [size =\"31686656\"]\n  30 -> 38 [size =\"31686656\"]\n  30 -> 39 [size =\"31686656\"]\n  31 [size=\"35796480\", alpha=\"0.09\", expect_size=\"14318592\"] \n  31 -> 33 [size =\"14318592\"]\n  31 -> 34 [size =\"14318592\"]\n  31 -> 35 [size =\"14318592\"]\n  31 -> 36 [size =\"14318592\"]\n  31 -> 37 [size =\"14318592\"]\n  31 -> 38 [size =\"14318592\"]\n  32 [size=\"109621760\", alpha=\"0.01\", expect_size=\"43848704\"] \n  32 -> 40 [size =\"43848704\"]\n  33 [size=\"100523520\", alpha=\"0.06\", expect_size=\"40209408\"] \n  34 [size=\"21987840\", alpha=\"0.07\", expect_size=\"8795136\"] \n  34 -> 40 [size =\"8795136\"]\n  35 [size=\"95682560\", alpha=\"0.00\", expect_size=\"38273024\"] \n  36 [size=\"26391040\", alpha=\"0.01\", expect_size=\"10556416\"] \n  37 [size=\"42240000\", alpha=\"0.07\", expect_size=\"16896000\"] \n  38 [size=\"85982720\", alpha=\"0.13\", expect_size=\"34393088\"] \n  38 -> 40 [size =\"34393088\"]\n  39 [size=\"108408320\", alpha=\"0.19\", expect_size=\"43363328\"] \n  40 [size=\"20346880\", alpha=\"0.04\", expect_size=\"8138752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114920107\", alpha=\"0.14\", expect_size=\"34476032\"] \n  1 -> 2 [size =\"34476032\"]\n  2 [size=\"34611200\", alpha=\"0.06\", expect_size=\"10383360\"] \n  2 -> 3 [size =\"10383360\"]\n  3 [size=\"155951787\", alpha=\"0.09\", expect_size=\"46785536\"] \n  3 -> 4 [size =\"46785536\"]\n  4 [size=\"69533013\", alpha=\"0.04\", expect_size=\"20859904\"] \n  4 -> 5 [size =\"20859904\"]\n  5 [size=\"116094293\", alpha=\"0.15\", expect_size=\"34828288\"] \n  5 -> 6 [size =\"34828288\"]\n  6 [size=\"92590080\", alpha=\"0.09\", expect_size=\"27777024\"] \n  6 -> 7 [size =\"27777024\"]\n  7 [size=\"172677120\", alpha=\"0.20\", expect_size=\"51803136\"] \n  7 -> 8 [size =\"51803136\"]\n  8 [size=\"32017067\", alpha=\"0.09\", expect_size=\"9605120\"] \n  8 -> 9 [size =\"9605120\"]\n  9 [size=\"29842773\", alpha=\"0.04\", expect_size=\"8952832\"] \n  9 -> 10 [size =\"8952832\"]\n  10 [size=\"155176960\", alpha=\"0.04\", expect_size=\"46553088\"] \n  10 -> 11 [size =\"46553088\"]\n  11 [size=\"57272320\", alpha=\"0.07\", expect_size=\"17181696\"] \n  11 -> 12 [size =\"17181696\"]\n  12 [size=\"163672747\", alpha=\"0.02\", expect_size=\"49101824\"] \n  12 -> 13 [size =\"49101824\"]\n  13 [size=\"50049707\", alpha=\"0.01\", expect_size=\"15014912\"] \n  13 -> 14 [size =\"15014912\"]\n  14 [size=\"122989227\", alpha=\"0.06\", expect_size=\"36896768\"] \n  14 -> 15 [size =\"36896768\"]\n  15 [size=\"153647787\", alpha=\"0.10\", expect_size=\"46094336\"] \n  15 -> 16 [size =\"46094336\"]\n  16 [size=\"116183040\", alpha=\"0.20\", expect_size=\"34854912\"] \n  16 -> 17 [size =\"34854912\"]\n  17 [size=\"26347520\", alpha=\"0.10\", expect_size=\"7904256\"] \n  17 -> 18 [size =\"7904256\"]\n  18 [size=\"23214080\", alpha=\"0.18\", expect_size=\"6964224\"] \n  18 -> 19 [size =\"6964224\"]\n  19 [size=\"91822080\", alpha=\"0.02\", expect_size=\"27546624\"] \n  19 -> 20 [size =\"27546624\"]\n  20 [size=\"121668267\", alpha=\"0.02\", expect_size=\"36500480\"] \n  20 -> 21 [size =\"36500480\"]\n  21 [size=\"151862613\", alpha=\"0.14\", expect_size=\"45558784\"] \n  21 -> 22 [size =\"45558784\"]\n  22 [size=\"53108053\", alpha=\"0.08\", expect_size=\"15932416\"] \n  22 -> 23 [size =\"15932416\"]\n  23 [size=\"70744747\", alpha=\"0.00\", expect_size=\"21223424\"] \n  23 -> 24 [size =\"21223424\"]\n  24 [size=\"81824427\", alpha=\"0.19\", expect_size=\"24547328\"] \n  24 -> 25 [size =\"24547328\"]\n  25 [size=\"132334933\", alpha=\"0.10\", expect_size=\"39700480\"] \n  25 -> 26 [size =\"39700480\"]\n  26 [size=\"52749653\", alpha=\"0.10\", expect_size=\"15824896\"] \n  26 -> 27 [size =\"15824896\"]\n  27 [size=\"51862187\", alpha=\"0.11\", expect_size=\"15558656\"] \n  27 -> 28 [size =\"15558656\"]\n  28 [size=\"133150720\", alpha=\"0.13\", expect_size=\"39945216\"] \n  28 -> 29 [size =\"39945216\"]\n  29 [size=\"118592853\", alpha=\"0.17\", expect_size=\"35577856\"] \n  29 -> 30 [size =\"35577856\"]\n  30 [size=\"134113280\", alpha=\"0.18\", expect_size=\"40233984\"] \n  30 -> 31 [size =\"40233984\"]\n  31 [size=\"147759787\", alpha=\"0.05\", expect_size=\"44327936\"] \n  31 -> 32 [size =\"44327936\"]\n  32 [size=\"99696640\", alpha=\"0.10\", expect_size=\"29908992\"] \n  32 -> 33 [size =\"29908992\"]\n  33 [size=\"164345173\", alpha=\"0.19\", expect_size=\"49303552\"] \n  33 -> 34 [size =\"49303552\"]\n  34 [size=\"165608107\", alpha=\"0.01\", expect_size=\"49682432\"] \n  34 -> 35 [size =\"49682432\"]\n  35 [size=\"155549013\", alpha=\"0.01\", expect_size=\"46664704\"] \n  35 -> 36 [size =\"46664704\"]\n  36 [size=\"75502933\", alpha=\"0.13\", expect_size=\"22650880\"] \n  36 -> 37 [size =\"22650880\"]\n  37 [size=\"157866667\", alpha=\"0.07\", expect_size=\"47360000\"] \n  37 -> 38 [size =\"47360000\"]\n  38 [size=\"85988693\", alpha=\"0.01\", expect_size=\"25796608\"] \n  38 -> 39 [size =\"25796608\"]\n  39 [size=\"31696213\", alpha=\"0.05\", expect_size=\"9508864\"] \n  39 -> 40 [size =\"9508864\"]\n  40 [size=\"164642133\", alpha=\"0.02\", expect_size=\"49392640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114769920\", alpha=\"0.08\", expect_size=\"34430976\"] \n  1 -> 2 [size =\"34430976\"]\n  1 -> 3 [size =\"34430976\"]\n  2 [size=\"110612480\", alpha=\"0.06\", expect_size=\"33183744\"] \n  2 -> 6 [size =\"33183744\"]\n  2 -> 7 [size =\"33183744\"]\n  3 [size=\"84292267\", alpha=\"0.10\", expect_size=\"25287680\"] \n  3 -> 4 [size =\"25287680\"]\n  3 -> 5 [size =\"25287680\"]\n  3 -> 6 [size =\"25287680\"]\n  3 -> 7 [size =\"25287680\"]\n  4 [size=\"129140053\", alpha=\"0.19\", expect_size=\"38742016\"] \n  4 -> 9 [size =\"38742016\"]\n  4 -> 10 [size =\"38742016\"]\n  5 [size=\"169676800\", alpha=\"0.13\", expect_size=\"50903040\"] \n  5 -> 8 [size =\"50903040\"]\n  5 -> 10 [size =\"50903040\"]\n  6 [size=\"33464320\", alpha=\"0.11\", expect_size=\"10039296\"] \n  6 -> 8 [size =\"10039296\"]\n  7 [size=\"116565333\", alpha=\"0.19\", expect_size=\"34969600\"] \n  8 [size=\"84425387\", alpha=\"0.11\", expect_size=\"25327616\"] \n  8 -> 11 [size =\"25327616\"]\n  9 [size=\"43421013\", alpha=\"0.03\", expect_size=\"13026304\"] \n  10 [size=\"41523200\", alpha=\"0.14\", expect_size=\"12456960\"] \n  10 -> 11 [size =\"12456960\"]\n  10 -> 12 [size =\"12456960\"]\n  11 [size=\"50981547\", alpha=\"0.14\", expect_size=\"15294464\"] \n  11 -> 13 [size =\"15294464\"]\n  11 -> 14 [size =\"15294464\"]\n  12 [size=\"114780160\", alpha=\"0.06\", expect_size=\"34434048\"] \n  12 -> 13 [size =\"34434048\"]\n  12 -> 14 [size =\"34434048\"]\n  13 [size=\"162641920\", alpha=\"0.14\", expect_size=\"48792576\"] \n  13 -> 15 [size =\"48792576\"]\n  13 -> 17 [size =\"48792576\"]\n  14 [size=\"81404587\", alpha=\"0.08\", expect_size=\"24421376\"] \n  14 -> 16 [size =\"24421376\"]\n  14 -> 17 [size =\"24421376\"]\n  15 [size=\"76537173\", alpha=\"0.01\", expect_size=\"22961152\"] \n  15 -> 18 [size =\"22961152\"]\n  15 -> 19 [size =\"22961152\"]\n  16 [size=\"23869440\", alpha=\"0.02\", expect_size=\"7160832\"] \n  17 [size=\"111182507\", alpha=\"0.13\", expect_size=\"33354752\"] \n  18 [size=\"105775787\", alpha=\"0.08\", expect_size=\"31732736\"] \n  18 -> 20 [size =\"31732736\"]\n  18 -> 21 [size =\"31732736\"]\n  18 -> 22 [size =\"31732736\"]\n  19 [size=\"37946027\", alpha=\"0.07\", expect_size=\"11383808\"] \n  19 -> 20 [size =\"11383808\"]\n  19 -> 21 [size =\"11383808\"]\n  19 -> 22 [size =\"11383808\"]\n  20 [size=\"64911360\", alpha=\"0.13\", expect_size=\"19473408\"] \n  20 -> 23 [size =\"19473408\"]\n  20 -> 24 [size =\"19473408\"]\n  21 [size=\"21483520\", alpha=\"0.11\", expect_size=\"6445056\"] \n  21 -> 24 [size =\"6445056\"]\n  22 [size=\"135297707\", alpha=\"0.01\", expect_size=\"40589312\"] \n  22 -> 23 [size =\"40589312\"]\n  22 -> 25 [size =\"40589312\"]\n  23 [size=\"26374827\", alpha=\"0.20\", expect_size=\"7912448\"] \n  23 -> 27 [size =\"7912448\"]\n  24 [size=\"139516587\", alpha=\"0.13\", expect_size=\"41854976\"] \n  24 -> 26 [size =\"41854976\"]\n  24 -> 27 [size =\"41854976\"]\n  25 [size=\"48694613\", alpha=\"0.05\", expect_size=\"14608384\"] \n  25 -> 26 [size =\"14608384\"]\n  25 -> 27 [size =\"14608384\"]\n  26 [size=\"53108053\", alpha=\"0.19\", expect_size=\"15932416\"] \n  26 -> 28 [size =\"15932416\"]\n  26 -> 29 [size =\"15932416\"]\n  26 -> 30 [size =\"15932416\"]\n  27 [size=\"68990293\", alpha=\"0.05\", expect_size=\"20697088\"] \n  27 -> 28 [size =\"20697088\"]\n  27 -> 29 [size =\"20697088\"]\n  28 [size=\"169332053\", alpha=\"0.00\", expect_size=\"50799616\"] \n  28 -> 32 [size =\"50799616\"]\n  28 -> 33 [size =\"50799616\"]\n  29 [size=\"74089813\", alpha=\"0.19\", expect_size=\"22226944\"] \n  29 -> 31 [size =\"22226944\"]\n  30 [size=\"132444160\", alpha=\"0.01\", expect_size=\"39733248\"] \n  30 -> 32 [size =\"39733248\"]\n  30 -> 33 [size =\"39733248\"]\n  30 -> 34 [size =\"39733248\"]\n  31 [size=\"78953813\", alpha=\"0.06\", expect_size=\"23686144\"] \n  31 -> 35 [size =\"23686144\"]\n  32 [size=\"168202240\", alpha=\"0.05\", expect_size=\"50460672\"] \n  32 -> 35 [size =\"50460672\"]\n  33 [size=\"21463040\", alpha=\"0.01\", expect_size=\"6438912\"] \n  33 -> 35 [size =\"6438912\"]\n  33 -> 36 [size =\"6438912\"]\n  34 [size=\"20128427\", alpha=\"0.06\", expect_size=\"6038528\"] \n  34 -> 36 [size =\"6038528\"]\n  35 [size=\"118575787\", alpha=\"0.18\", expect_size=\"35572736\"] \n  35 -> 37 [size =\"35572736\"]\n  35 -> 39 [size =\"35572736\"]\n  36 [size=\"154432853\", alpha=\"0.11\", expect_size=\"46329856\"] \n  36 -> 37 [size =\"46329856\"]\n  36 -> 38 [size =\"46329856\"]\n  36 -> 39 [size =\"46329856\"]\n  37 [size=\"143694507\", alpha=\"0.16\", expect_size=\"43108352\"] \n  37 -> 40 [size =\"43108352\"]\n  38 [size=\"28163413\", alpha=\"0.13\", expect_size=\"8449024\"] \n  38 -> 40 [size =\"8449024\"]\n  39 [size=\"32075093\", alpha=\"0.11\", expect_size=\"9622528\"] \n  39 -> 40 [size =\"9622528\"]\n  40 [size=\"24094720\", alpha=\"0.16\", expect_size=\"7228416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22876160\", alpha=\"0.09\", expect_size=\"6862848\"] \n  1 -> 5 [size =\"6862848\"]\n  1 -> 6 [size =\"6862848\"]\n  2 [size=\"54592853\", alpha=\"0.17\", expect_size=\"16377856\"] \n  3 [size=\"43110400\", alpha=\"0.14\", expect_size=\"12933120\"] \n  3 -> 4 [size =\"12933120\"]\n  3 -> 6 [size =\"12933120\"]\n  4 [size=\"38495573\", alpha=\"0.13\", expect_size=\"11548672\"] \n  4 -> 7 [size =\"11548672\"]\n  4 -> 8 [size =\"11548672\"]\n  4 -> 9 [size =\"11548672\"]\n  5 [size=\"134877867\", alpha=\"0.11\", expect_size=\"40463360\"] \n  6 [size=\"102877867\", alpha=\"0.14\", expect_size=\"30863360\"] \n  6 -> 7 [size =\"30863360\"]\n  6 -> 8 [size =\"30863360\"]\n  6 -> 9 [size =\"30863360\"]\n  7 [size=\"155695787\", alpha=\"0.14\", expect_size=\"46708736\"] \n  8 [size=\"126457173\", alpha=\"0.03\", expect_size=\"37937152\"] \n  8 -> 10 [size =\"37937152\"]\n  9 [size=\"164932267\", alpha=\"0.09\", expect_size=\"49479680\"] \n  9 -> 10 [size =\"49479680\"]\n  9 -> 11 [size =\"49479680\"]\n  10 [size=\"152797867\", alpha=\"0.18\", expect_size=\"45839360\"] \n  10 -> 12 [size =\"45839360\"]\n  10 -> 13 [size =\"45839360\"]\n  11 [size=\"72628907\", alpha=\"0.04\", expect_size=\"21788672\"] \n  12 [size=\"139677013\", alpha=\"0.13\", expect_size=\"41903104\"] \n  12 -> 14 [size =\"41903104\"]\n  12 -> 15 [size =\"41903104\"]\n  12 -> 16 [size =\"41903104\"]\n  13 [size=\"115008853\", alpha=\"0.12\", expect_size=\"34502656\"] \n  14 [size=\"65310720\", alpha=\"0.20\", expect_size=\"19593216\"] \n  14 -> 17 [size =\"19593216\"]\n  15 [size=\"170915840\", alpha=\"0.08\", expect_size=\"51274752\"] \n  15 -> 17 [size =\"51274752\"]\n  15 -> 18 [size =\"51274752\"]\n  16 [size=\"96351573\", alpha=\"0.16\", expect_size=\"28905472\"] \n  16 -> 18 [size =\"28905472\"]\n  17 [size=\"48988160\", alpha=\"0.01\", expect_size=\"14696448\"] \n  17 -> 20 [size =\"14696448\"]\n  17 -> 21 [size =\"14696448\"]\n  18 [size=\"162515627\", alpha=\"0.11\", expect_size=\"48754688\"] \n  18 -> 19 [size =\"48754688\"]\n  18 -> 20 [size =\"48754688\"]\n  18 -> 21 [size =\"48754688\"]\n  19 [size=\"26692267\", alpha=\"0.09\", expect_size=\"8007680\"] \n  19 -> 22 [size =\"8007680\"]\n  19 -> 23 [size =\"8007680\"]\n  20 [size=\"94965760\", alpha=\"0.09\", expect_size=\"28489728\"] \n  20 -> 23 [size =\"28489728\"]\n  21 [size=\"82647040\", alpha=\"0.08\", expect_size=\"24794112\"] \n  21 -> 22 [size =\"24794112\"]\n  22 [size=\"117780480\", alpha=\"0.13\", expect_size=\"35334144\"] \n  22 -> 25 [size =\"35334144\"]\n  23 [size=\"62310400\", alpha=\"0.01\", expect_size=\"18693120\"] \n  23 -> 24 [size =\"18693120\"]\n  24 [size=\"157160107\", alpha=\"0.11\", expect_size=\"47148032\"] \n  24 -> 26 [size =\"47148032\"]\n  24 -> 27 [size =\"47148032\"]\n  25 [size=\"153716053\", alpha=\"0.17\", expect_size=\"46114816\"] \n  25 -> 27 [size =\"46114816\"]\n  26 [size=\"58187093\", alpha=\"0.13\", expect_size=\"17456128\"] \n  26 -> 28 [size =\"17456128\"]\n  26 -> 29 [size =\"17456128\"]\n  27 [size=\"27531947\", alpha=\"0.07\", expect_size=\"8259584\"] \n  27 -> 29 [size =\"8259584\"]\n  28 [size=\"38973440\", alpha=\"0.14\", expect_size=\"11692032\"] \n  28 -> 30 [size =\"11692032\"]\n  28 -> 31 [size =\"11692032\"]\n  29 [size=\"126764373\", alpha=\"0.01\", expect_size=\"38029312\"] \n  30 [size=\"44076373\", alpha=\"0.05\", expect_size=\"13222912\"] \n  30 -> 32 [size =\"13222912\"]\n  30 -> 33 [size =\"13222912\"]\n  31 [size=\"111899307\", alpha=\"0.15\", expect_size=\"33569792\"] \n  31 -> 33 [size =\"33569792\"]\n  31 -> 34 [size =\"33569792\"]\n  32 [size=\"21060267\", alpha=\"0.01\", expect_size=\"6318080\"] \n  32 -> 35 [size =\"6318080\"]\n  33 [size=\"123252053\", alpha=\"0.00\", expect_size=\"36975616\"] \n  33 -> 36 [size =\"36975616\"]\n  34 [size=\"129536000\", alpha=\"0.05\", expect_size=\"38860800\"] \n  35 [size=\"60934827\", alpha=\"0.09\", expect_size=\"18280448\"] \n  35 -> 37 [size =\"18280448\"]\n  36 [size=\"34853547\", alpha=\"0.03\", expect_size=\"10456064\"] \n  36 -> 38 [size =\"10456064\"]\n  37 [size=\"136690347\", alpha=\"0.01\", expect_size=\"41007104\"] \n  37 -> 40 [size =\"41007104\"]\n  38 [size=\"32805547\", alpha=\"0.18\", expect_size=\"9841664\"] \n  38 -> 39 [size =\"9841664\"]\n  39 [size=\"146759680\", alpha=\"0.16\", expect_size=\"44027904\"] \n  40 [size=\"154152960\", alpha=\"0.04\", expect_size=\"46245888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82987520\", alpha=\"0.12\", expect_size=\"33195008\"] \n  1 -> 2 [size =\"33195008\"]\n  2 [size=\"22784000\", alpha=\"0.04\", expect_size=\"9113600\"] \n  2 -> 3 [size =\"9113600\"]\n  3 [size=\"50833920\", alpha=\"0.10\", expect_size=\"20333568\"] \n  3 -> 4 [size =\"20333568\"]\n  4 [size=\"25290240\", alpha=\"0.13\", expect_size=\"10116096\"] \n  4 -> 5 [size =\"10116096\"]\n  5 [size=\"77271040\", alpha=\"0.13\", expect_size=\"30908416\"] \n  5 -> 6 [size =\"30908416\"]\n  6 [size=\"102266880\", alpha=\"0.00\", expect_size=\"40906752\"] \n  6 -> 7 [size =\"40906752\"]\n  7 [size=\"21690880\", alpha=\"0.05\", expect_size=\"8676352\"] \n  7 -> 8 [size =\"8676352\"]\n  8 [size=\"51379200\", alpha=\"0.14\", expect_size=\"20551680\"] \n  8 -> 9 [size =\"20551680\"]\n  9 [size=\"122816000\", alpha=\"0.06\", expect_size=\"49126400\"] \n  9 -> 10 [size =\"49126400\"]\n  10 [size=\"28244480\", alpha=\"0.17\", expect_size=\"11297792\"] \n  10 -> 11 [size =\"11297792\"]\n  11 [size=\"27087360\", alpha=\"0.15\", expect_size=\"10834944\"] \n  11 -> 12 [size =\"10834944\"]\n  12 [size=\"95452160\", alpha=\"0.12\", expect_size=\"38180864\"] \n  12 -> 13 [size =\"38180864\"]\n  13 [size=\"117662720\", alpha=\"0.11\", expect_size=\"47065088\"] \n  13 -> 14 [size =\"47065088\"]\n  14 [size=\"56066560\", alpha=\"0.02\", expect_size=\"22426624\"] \n  14 -> 15 [size =\"22426624\"]\n  15 [size=\"16762880\", alpha=\"0.17\", expect_size=\"6705152\"] \n  15 -> 16 [size =\"6705152\"]\n  16 [size=\"93982720\", alpha=\"0.17\", expect_size=\"37593088\"] \n  16 -> 17 [size =\"37593088\"]\n  17 [size=\"96040960\", alpha=\"0.00\", expect_size=\"38416384\"] \n  17 -> 18 [size =\"38416384\"]\n  18 [size=\"125242880\", alpha=\"0.19\", expect_size=\"50097152\"] \n  18 -> 19 [size =\"50097152\"]\n  19 [size=\"92354560\", alpha=\"0.16\", expect_size=\"36941824\"] \n  19 -> 20 [size =\"36941824\"]\n  20 [size=\"127462400\", alpha=\"0.01\", expect_size=\"50984960\"] \n  20 -> 21 [size =\"50984960\"]\n  21 [size=\"109038080\", alpha=\"0.17\", expect_size=\"43615232\"] \n  21 -> 22 [size =\"43615232\"]\n  22 [size=\"78039040\", alpha=\"0.15\", expect_size=\"31215616\"] \n  22 -> 23 [size =\"31215616\"]\n  23 [size=\"32591360\", alpha=\"0.20\", expect_size=\"13036544\"] \n  23 -> 24 [size =\"13036544\"]\n  24 [size=\"95380480\", alpha=\"0.06\", expect_size=\"38152192\"] \n  24 -> 25 [size =\"38152192\"]\n  25 [size=\"104739840\", alpha=\"0.04\", expect_size=\"41895936\"] \n  25 -> 26 [size =\"41895936\"]\n  26 [size=\"85335040\", alpha=\"0.16\", expect_size=\"34134016\"] \n  26 -> 27 [size =\"34134016\"]\n  27 [size=\"69683200\", alpha=\"0.10\", expect_size=\"27873280\"] \n  27 -> 28 [size =\"27873280\"]\n  28 [size=\"72227840\", alpha=\"0.11\", expect_size=\"28891136\"] \n  28 -> 29 [size =\"28891136\"]\n  29 [size=\"64537600\", alpha=\"0.10\", expect_size=\"25815040\"] \n  29 -> 30 [size =\"25815040\"]\n  30 [size=\"43333120\", alpha=\"0.12\", expect_size=\"17333248\"] \n  30 -> 31 [size =\"17333248\"]\n  31 [size=\"49103360\", alpha=\"0.16\", expect_size=\"19641344\"] \n  31 -> 32 [size =\"19641344\"]\n  32 [size=\"33768960\", alpha=\"0.13\", expect_size=\"13507584\"] \n  32 -> 33 [size =\"13507584\"]\n  33 [size=\"124971520\", alpha=\"0.09\", expect_size=\"49988608\"] \n  33 -> 34 [size =\"49988608\"]\n  34 [size=\"124505600\", alpha=\"0.12\", expect_size=\"49802240\"] \n  34 -> 35 [size =\"49802240\"]\n  35 [size=\"44561920\", alpha=\"0.16\", expect_size=\"17824768\"] \n  35 -> 36 [size =\"17824768\"]\n  36 [size=\"67264000\", alpha=\"0.13\", expect_size=\"26905600\"] \n  36 -> 37 [size =\"26905600\"]\n  37 [size=\"45844480\", alpha=\"0.04\", expect_size=\"18337792\"] \n  37 -> 38 [size =\"18337792\"]\n  38 [size=\"106856960\", alpha=\"0.15\", expect_size=\"42742784\"] \n  38 -> 39 [size =\"42742784\"]\n  39 [size=\"52641280\", alpha=\"0.19\", expect_size=\"21056512\"] \n  39 -> 40 [size =\"21056512\"]\n  40 [size=\"110876160\", alpha=\"0.02\", expect_size=\"44350464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76904448\", alpha=\"0.15\", expect_size=\"38452224\"] \n  1 -> 9 [size =\"38452224\"]\n  1 -> 10 [size =\"38452224\"]\n  1 -> 11 [size =\"38452224\"]\n  1 -> 14 [size =\"38452224\"]\n  1 -> 15 [size =\"38452224\"]\n  1 -> 17 [size =\"38452224\"]\n  1 -> 19 [size =\"38452224\"]\n  1 -> 20 [size =\"38452224\"]\n  1 -> 21 [size =\"38452224\"]\n  2 [size=\"48613376\", alpha=\"0.02\", expect_size=\"24306688\"] \n  2 -> 9 [size =\"24306688\"]\n  2 -> 12 [size =\"24306688\"]\n  2 -> 13 [size =\"24306688\"]\n  2 -> 14 [size =\"24306688\"]\n  2 -> 15 [size =\"24306688\"]\n  2 -> 16 [size =\"24306688\"]\n  2 -> 17 [size =\"24306688\"]\n  2 -> 19 [size =\"24306688\"]\n  2 -> 20 [size =\"24306688\"]\n  2 -> 21 [size =\"24306688\"]\n  3 [size=\"82522112\", alpha=\"0.12\", expect_size=\"41261056\"] \n  3 -> 11 [size =\"41261056\"]\n  3 -> 12 [size =\"41261056\"]\n  3 -> 14 [size =\"41261056\"]\n  3 -> 16 [size =\"41261056\"]\n  3 -> 17 [size =\"41261056\"]\n  3 -> 19 [size =\"41261056\"]\n  3 -> 21 [size =\"41261056\"]\n  4 [size=\"12941312\", alpha=\"0.08\", expect_size=\"6470656\"] \n  4 -> 8 [size =\"6470656\"]\n  4 -> 9 [size =\"6470656\"]\n  4 -> 11 [size =\"6470656\"]\n  4 -> 17 [size =\"6470656\"]\n  4 -> 18 [size =\"6470656\"]\n  4 -> 19 [size =\"6470656\"]\n  4 -> 21 [size =\"6470656\"]\n  5 [size=\"43800576\", alpha=\"0.14\", expect_size=\"21900288\"] \n  5 -> 8 [size =\"21900288\"]\n  5 -> 11 [size =\"21900288\"]\n  5 -> 12 [size =\"21900288\"]\n  5 -> 16 [size =\"21900288\"]\n  6 [size=\"34009088\", alpha=\"0.11\", expect_size=\"17004544\"] \n  6 -> 9 [size =\"17004544\"]\n  6 -> 11 [size =\"17004544\"]\n  6 -> 16 [size =\"17004544\"]\n  6 -> 17 [size =\"17004544\"]\n  6 -> 21 [size =\"17004544\"]\n  7 [size=\"81063936\", alpha=\"0.08\", expect_size=\"40531968\"] \n  7 -> 9 [size =\"40531968\"]\n  7 -> 11 [size =\"40531968\"]\n  7 -> 15 [size =\"40531968\"]\n  7 -> 17 [size =\"40531968\"]\n  7 -> 19 [size =\"40531968\"]\n  7 -> 20 [size =\"40531968\"]\n  8 [size=\"71018496\", alpha=\"0.05\", expect_size=\"35509248\"] \n  8 -> 27 [size =\"35509248\"]\n  8 -> 31 [size =\"35509248\"]\n  8 -> 33 [size =\"35509248\"]\n  8 -> 34 [size =\"35509248\"]\n  9 [size=\"43978752\", alpha=\"0.13\", expect_size=\"21989376\"] \n  9 -> 24 [size =\"21989376\"]\n  9 -> 26 [size =\"21989376\"]\n  9 -> 27 [size =\"21989376\"]\n  9 -> 28 [size =\"21989376\"]\n  9 -> 30 [size =\"21989376\"]\n  9 -> 31 [size =\"21989376\"]\n  9 -> 32 [size =\"21989376\"]\n  9 -> 33 [size =\"21989376\"]\n  9 -> 34 [size =\"21989376\"]\n  9 -> 35 [size =\"21989376\"]\n  10 [size=\"50657280\", alpha=\"0.05\", expect_size=\"25328640\"] \n  10 -> 24 [size =\"25328640\"]\n  10 -> 27 [size =\"25328640\"]\n  10 -> 27 [size =\"25328640\"]\n  10 -> 28 [size =\"25328640\"]\n  10 -> 30 [size =\"25328640\"]\n  10 -> 32 [size =\"25328640\"]\n  10 -> 34 [size =\"25328640\"]\n  11 [size=\"80156672\", alpha=\"0.11\", expect_size=\"40078336\"] \n  11 -> 23 [size =\"40078336\"]\n  11 -> 24 [size =\"40078336\"]\n  11 -> 26 [size =\"40078336\"]\n  11 -> 28 [size =\"40078336\"]\n  11 -> 29 [size =\"40078336\"]\n  11 -> 32 [size =\"40078336\"]\n  11 -> 35 [size =\"40078336\"]\n  12 [size=\"56018944\", alpha=\"0.07\", expect_size=\"28009472\"] \n  12 -> 23 [size =\"28009472\"]\n  12 -> 24 [size =\"28009472\"]\n  12 -> 26 [size =\"28009472\"]\n  12 -> 28 [size =\"28009472\"]\n  12 -> 29 [size =\"28009472\"]\n  12 -> 30 [size =\"28009472\"]\n  12 -> 31 [size =\"28009472\"]\n  12 -> 32 [size =\"28009472\"]\n  12 -> 35 [size =\"28009472\"]\n  13 [size=\"63877120\", alpha=\"0.03\", expect_size=\"31938560\"] \n  13 -> 23 [size =\"31938560\"]\n  13 -> 24 [size =\"31938560\"]\n  13 -> 27 [size =\"31938560\"]\n  13 -> 28 [size =\"31938560\"]\n  13 -> 29 [size =\"31938560\"]\n  13 -> 30 [size =\"31938560\"]\n  13 -> 33 [size =\"31938560\"]\n  13 -> 34 [size =\"31938560\"]\n  13 -> 35 [size =\"31938560\"]\n  14 [size=\"26064896\", alpha=\"0.13\", expect_size=\"13032448\"] \n  14 -> 23 [size =\"13032448\"]\n  14 -> 24 [size =\"13032448\"]\n  14 -> 25 [size =\"13032448\"]\n  14 -> 26 [size =\"13032448\"]\n  14 -> 29 [size =\"13032448\"]\n  14 -> 30 [size =\"13032448\"]\n  14 -> 34 [size =\"13032448\"]\n  14 -> 34 [size =\"13032448\"]\n  15 [size=\"64372736\", alpha=\"0.04\", expect_size=\"32186368\"] \n  15 -> 23 [size =\"32186368\"]\n  15 -> 24 [size =\"32186368\"]\n  15 -> 27 [size =\"32186368\"]\n  15 -> 29 [size =\"32186368\"]\n  15 -> 29 [size =\"32186368\"]\n  15 -> 31 [size =\"32186368\"]\n  15 -> 33 [size =\"32186368\"]\n  16 [size=\"34846720\", alpha=\"0.02\", expect_size=\"17423360\"] \n  16 -> 22 [size =\"17423360\"]\n  16 -> 24 [size =\"17423360\"]\n  16 -> 27 [size =\"17423360\"]\n  16 -> 28 [size =\"17423360\"]\n  16 -> 29 [size =\"17423360\"]\n  16 -> 33 [size =\"17423360\"]\n  16 -> 35 [size =\"17423360\"]\n  17 [size=\"84996096\", alpha=\"0.10\", expect_size=\"42498048\"] \n  17 -> 23 [size =\"42498048\"]\n  17 -> 24 [size =\"42498048\"]\n  17 -> 26 [size =\"42498048\"]\n  17 -> 27 [size =\"42498048\"]\n  17 -> 28 [size =\"42498048\"]\n  17 -> 30 [size =\"42498048\"]\n  17 -> 33 [size =\"42498048\"]\n  17 -> 34 [size =\"42498048\"]\n  18 [size=\"29679616\", alpha=\"0.11\", expect_size=\"14839808\"] \n  18 -> 24 [size =\"14839808\"]\n  18 -> 27 [size =\"14839808\"]\n  18 -> 28 [size =\"14839808\"]\n  18 -> 31 [size =\"14839808\"]\n  18 -> 32 [size =\"14839808\"]\n  18 -> 33 [size =\"14839808\"]\n  18 -> 33 [size =\"14839808\"]\n  18 -> 34 [size =\"14839808\"]\n  19 [size=\"54689792\", alpha=\"0.09\", expect_size=\"27344896\"] \n  19 -> 24 [size =\"27344896\"]\n  19 -> 25 [size =\"27344896\"]\n  19 -> 26 [size =\"27344896\"]\n  19 -> 27 [size =\"27344896\"]\n  19 -> 28 [size =\"27344896\"]\n  19 -> 29 [size =\"27344896\"]\n  19 -> 32 [size =\"27344896\"]\n  19 -> 33 [size =\"27344896\"]\n  19 -> 34 [size =\"27344896\"]\n  19 -> 35 [size =\"27344896\"]\n  20 [size=\"21233664\", alpha=\"0.19\", expect_size=\"10616832\"] \n  20 -> 24 [size =\"10616832\"]\n  20 -> 27 [size =\"10616832\"]\n  20 -> 28 [size =\"10616832\"]\n  20 -> 31 [size =\"10616832\"]\n  21 [size=\"44695552\", alpha=\"0.03\", expect_size=\"22347776\"] \n  21 -> 26 [size =\"22347776\"]\n  21 -> 27 [size =\"22347776\"]\n  21 -> 28 [size =\"22347776\"]\n  21 -> 29 [size =\"22347776\"]\n  21 -> 30 [size =\"22347776\"]\n  21 -> 33 [size =\"22347776\"]\n  21 -> 34 [size =\"22347776\"]\n  21 -> 35 [size =\"22347776\"]\n  22 [size=\"96169984\", alpha=\"0.15\", expect_size=\"48084992\"] \n  22 -> 38 [size =\"48084992\"]\n  23 [size=\"37107712\", alpha=\"0.02\", expect_size=\"18553856\"] \n  23 -> 38 [size =\"18553856\"]\n  24 [size=\"49258496\", alpha=\"0.10\", expect_size=\"24629248\"] \n  24 -> 36 [size =\"24629248\"]\n  25 [size=\"16496640\", alpha=\"0.05\", expect_size=\"8248320\"] \n  25 -> 36 [size =\"8248320\"]\n  26 [size=\"36872192\", alpha=\"0.05\", expect_size=\"18436096\"] \n  26 -> 38 [size =\"18436096\"]\n  26 -> 39 [size =\"18436096\"]\n  27 [size=\"46014464\", alpha=\"0.20\", expect_size=\"23007232\"] \n  27 -> 36 [size =\"23007232\"]\n  27 -> 38 [size =\"23007232\"]\n  28 [size=\"93429760\", alpha=\"0.07\", expect_size=\"46714880\"] \n  28 -> 36 [size =\"46714880\"]\n  28 -> 37 [size =\"46714880\"]\n  28 -> 38 [size =\"46714880\"]\n  28 -> 40 [size =\"46714880\"]\n  29 [size=\"51527680\", alpha=\"0.02\", expect_size=\"25763840\"] \n  29 -> 36 [size =\"25763840\"]\n  29 -> 37 [size =\"25763840\"]\n  29 -> 38 [size =\"25763840\"]\n  30 [size=\"92155904\", alpha=\"0.06\", expect_size=\"46077952\"] \n  30 -> 37 [size =\"46077952\"]\n  30 -> 38 [size =\"46077952\"]\n  31 [size=\"85334016\", alpha=\"0.04\", expect_size=\"42667008\"] \n  31 -> 36 [size =\"42667008\"]\n  32 [size=\"97482752\", alpha=\"0.11\", expect_size=\"48741376\"] \n  32 -> 36 [size =\"48741376\"]\n  32 -> 38 [size =\"48741376\"]\n  33 [size=\"72359936\", alpha=\"0.10\", expect_size=\"36179968\"] \n  33 -> 38 [size =\"36179968\"]\n  34 [size=\"82001920\", alpha=\"0.13\", expect_size=\"41000960\"] \n  34 -> 36 [size =\"41000960\"]\n  34 -> 38 [size =\"41000960\"]\n  35 [size=\"34492416\", alpha=\"0.07\", expect_size=\"17246208\"] \n  35 -> 36 [size =\"17246208\"]\n  36 [size=\"57522176\", alpha=\"0.06\", expect_size=\"28761088\"] \n  37 [size=\"80238592\", alpha=\"0.00\", expect_size=\"40119296\"] \n  38 [size=\"78852096\", alpha=\"0.19\", expect_size=\"39426048\"] \n  39 [size=\"19523584\", alpha=\"0.07\", expect_size=\"9761792\"] \n  40 [size=\"30119936\", alpha=\"0.18\", expect_size=\"15059968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17197056\", alpha=\"0.19\", expect_size=\"8598528\"] \n  1 -> 12 [size =\"8598528\"]\n  1 -> 14 [size =\"8598528\"]\n  1 -> 15 [size =\"8598528\"]\n  1 -> 20 [size =\"8598528\"]\n  1 -> 23 [size =\"8598528\"]\n  2 [size=\"104230912\", alpha=\"0.15\", expect_size=\"52115456\"] \n  2 -> 12 [size =\"52115456\"]\n  2 -> 13 [size =\"52115456\"]\n  2 -> 15 [size =\"52115456\"]\n  2 -> 16 [size =\"52115456\"]\n  2 -> 19 [size =\"52115456\"]\n  2 -> 20 [size =\"52115456\"]\n  3 [size=\"37064704\", alpha=\"0.18\", expect_size=\"18532352\"] \n  3 -> 12 [size =\"18532352\"]\n  3 -> 15 [size =\"18532352\"]\n  3 -> 15 [size =\"18532352\"]\n  3 -> 16 [size =\"18532352\"]\n  4 [size=\"22673408\", alpha=\"0.17\", expect_size=\"11336704\"] \n  4 -> 15 [size =\"11336704\"]\n  4 -> 18 [size =\"11336704\"]\n  4 -> 21 [size =\"11336704\"]\n  4 -> 23 [size =\"11336704\"]\n  5 [size=\"30881792\", alpha=\"0.02\", expect_size=\"15440896\"] \n  5 -> 18 [size =\"15440896\"]\n  5 -> 20 [size =\"15440896\"]\n  5 -> 23 [size =\"15440896\"]\n  6 [size=\"64587776\", alpha=\"0.13\", expect_size=\"32293888\"] \n  6 -> 13 [size =\"32293888\"]\n  6 -> 14 [size =\"32293888\"]\n  6 -> 15 [size =\"32293888\"]\n  6 -> 17 [size =\"32293888\"]\n  6 -> 18 [size =\"32293888\"]\n  6 -> 22 [size =\"32293888\"]\n  7 [size=\"72249344\", alpha=\"0.08\", expect_size=\"36124672\"] \n  7 -> 12 [size =\"36124672\"]\n  7 -> 13 [size =\"36124672\"]\n  7 -> 14 [size =\"36124672\"]\n  7 -> 20 [size =\"36124672\"]\n  7 -> 22 [size =\"36124672\"]\n  7 -> 22 [size =\"36124672\"]\n  7 -> 23 [size =\"36124672\"]\n  8 [size=\"67284992\", alpha=\"0.03\", expect_size=\"33642496\"] \n  8 -> 12 [size =\"33642496\"]\n  8 -> 13 [size =\"33642496\"]\n  8 -> 14 [size =\"33642496\"]\n  8 -> 17 [size =\"33642496\"]\n  8 -> 21 [size =\"33642496\"]\n  8 -> 22 [size =\"33642496\"]\n  9 [size=\"61714432\", alpha=\"0.08\", expect_size=\"30857216\"] \n  9 -> 12 [size =\"30857216\"]\n  9 -> 14 [size =\"30857216\"]\n  9 -> 15 [size =\"30857216\"]\n  9 -> 17 [size =\"30857216\"]\n  9 -> 20 [size =\"30857216\"]\n  9 -> 22 [size =\"30857216\"]\n  10 [size=\"88973312\", alpha=\"0.12\", expect_size=\"44486656\"] \n  10 -> 14 [size =\"44486656\"]\n  10 -> 20 [size =\"44486656\"]\n  10 -> 22 [size =\"44486656\"]\n  11 [size=\"84672512\", alpha=\"0.17\", expect_size=\"42336256\"] \n  11 -> 12 [size =\"42336256\"]\n  11 -> 13 [size =\"42336256\"]\n  11 -> 14 [size =\"42336256\"]\n  11 -> 15 [size =\"42336256\"]\n  11 -> 20 [size =\"42336256\"]\n  11 -> 22 [size =\"42336256\"]\n  11 -> 23 [size =\"42336256\"]\n  12 [size=\"81680384\", alpha=\"0.15\", expect_size=\"40840192\"] \n  12 -> 25 [size =\"40840192\"]\n  12 -> 27 [size =\"40840192\"]\n  12 -> 29 [size =\"40840192\"]\n  12 -> 30 [size =\"40840192\"]\n  13 [size=\"58562560\", alpha=\"0.07\", expect_size=\"29281280\"] \n  13 -> 25 [size =\"29281280\"]\n  13 -> 29 [size =\"29281280\"]\n  13 -> 30 [size =\"29281280\"]\n  14 [size=\"49584128\", alpha=\"0.17\", expect_size=\"24792064\"] \n  14 -> 29 [size =\"24792064\"]\n  14 -> 31 [size =\"24792064\"]\n  15 [size=\"33406976\", alpha=\"0.19\", expect_size=\"16703488\"] \n  15 -> 24 [size =\"16703488\"]\n  15 -> 30 [size =\"16703488\"]\n  16 [size=\"40730624\", alpha=\"0.19\", expect_size=\"20365312\"] \n  16 -> 27 [size =\"20365312\"]\n  16 -> 30 [size =\"20365312\"]\n  16 -> 31 [size =\"20365312\"]\n  17 [size=\"101556224\", alpha=\"0.02\", expect_size=\"50778112\"] \n  17 -> 32 [size =\"50778112\"]\n  17 -> 33 [size =\"50778112\"]\n  18 [size=\"42889216\", alpha=\"0.02\", expect_size=\"21444608\"] \n  18 -> 28 [size =\"21444608\"]\n  18 -> 30 [size =\"21444608\"]\n  18 -> 31 [size =\"21444608\"]\n  19 [size=\"58169344\", alpha=\"0.12\", expect_size=\"29084672\"] \n  19 -> 28 [size =\"29084672\"]\n  19 -> 30 [size =\"29084672\"]\n  19 -> 32 [size =\"29084672\"]\n  20 [size=\"94404608\", alpha=\"0.11\", expect_size=\"47202304\"] \n  20 -> 27 [size =\"47202304\"]\n  20 -> 32 [size =\"47202304\"]\n  21 [size=\"55971840\", alpha=\"0.11\", expect_size=\"27985920\"] \n  21 -> 30 [size =\"27985920\"]\n  22 [size=\"40067072\", alpha=\"0.11\", expect_size=\"20033536\"] \n  22 -> 27 [size =\"20033536\"]\n  22 -> 33 [size =\"20033536\"]\n  23 [size=\"18479104\", alpha=\"0.17\", expect_size=\"9239552\"] \n  23 -> 24 [size =\"9239552\"]\n  23 -> 26 [size =\"9239552\"]\n  23 -> 27 [size =\"9239552\"]\n  23 -> 30 [size =\"9239552\"]\n  23 -> 33 [size =\"9239552\"]\n  24 [size=\"51458048\", alpha=\"0.06\", expect_size=\"25729024\"] \n  24 -> 35 [size =\"25729024\"]\n  24 -> 39 [size =\"25729024\"]\n  24 -> 40 [size =\"25729024\"]\n  25 [size=\"37898240\", alpha=\"0.18\", expect_size=\"18949120\"] \n  25 -> 35 [size =\"18949120\"]\n  25 -> 39 [size =\"18949120\"]\n  26 [size=\"32903168\", alpha=\"0.03\", expect_size=\"16451584\"] \n  26 -> 35 [size =\"16451584\"]\n  26 -> 39 [size =\"16451584\"]\n  27 [size=\"30210048\", alpha=\"0.20\", expect_size=\"15105024\"] \n  27 -> 35 [size =\"15105024\"]\n  27 -> 36 [size =\"15105024\"]\n  27 -> 37 [size =\"15105024\"]\n  27 -> 39 [size =\"15105024\"]\n  27 -> 40 [size =\"15105024\"]\n  28 [size=\"41291776\", alpha=\"0.09\", expect_size=\"20645888\"] \n  28 -> 35 [size =\"20645888\"]\n  28 -> 39 [size =\"20645888\"]\n  28 -> 40 [size =\"20645888\"]\n  29 [size=\"49604608\", alpha=\"0.10\", expect_size=\"24802304\"] \n  29 -> 36 [size =\"24802304\"]\n  29 -> 37 [size =\"24802304\"]\n  29 -> 38 [size =\"24802304\"]\n  29 -> 39 [size =\"24802304\"]\n  30 [size=\"10645504\", alpha=\"0.06\", expect_size=\"5322752\"] \n  30 -> 35 [size =\"5322752\"]\n  31 [size=\"61073408\", alpha=\"0.19\", expect_size=\"30536704\"] \n  31 -> 36 [size =\"30536704\"]\n  31 -> 38 [size =\"30536704\"]\n  31 -> 40 [size =\"30536704\"]\n  32 [size=\"18862080\", alpha=\"0.07\", expect_size=\"9431040\"] \n  32 -> 34 [size =\"9431040\"]\n  32 -> 35 [size =\"9431040\"]\n  32 -> 40 [size =\"9431040\"]\n  33 [size=\"72124416\", alpha=\"0.04\", expect_size=\"36062208\"] \n  33 -> 39 [size =\"36062208\"]\n  33 -> 40 [size =\"36062208\"]\n  33 -> 40 [size =\"36062208\"]\n  34 [size=\"58699776\", alpha=\"0.11\", expect_size=\"29349888\"] \n  35 [size=\"85147648\", alpha=\"0.02\", expect_size=\"42573824\"] \n  36 [size=\"77492224\", alpha=\"0.19\", expect_size=\"38746112\"] \n  37 [size=\"89835520\", alpha=\"0.16\", expect_size=\"44917760\"] \n  38 [size=\"89571328\", alpha=\"0.19\", expect_size=\"44785664\"] \n  39 [size=\"39129088\", alpha=\"0.13\", expect_size=\"19564544\"] \n  40 [size=\"84111360\", alpha=\"0.04\", expect_size=\"42055680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31825920\", alpha=\"0.14\", expect_size=\"9547776\"] \n  1 -> 16 [size =\"9547776\"]\n  1 -> 19 [size =\"9547776\"]\n  1 -> 24 [size =\"9547776\"]\n  1 -> 25 [size =\"9547776\"]\n  1 -> 26 [size =\"9547776\"]\n  1 -> 27 [size =\"9547776\"]\n  1 -> 28 [size =\"9547776\"]\n  1 -> 31 [size =\"9547776\"]\n  1 -> 33 [size =\"9547776\"]\n  2 [size=\"125392213\", alpha=\"0.11\", expect_size=\"37617664\"] \n  2 -> 14 [size =\"37617664\"]\n  2 -> 18 [size =\"37617664\"]\n  2 -> 26 [size =\"37617664\"]\n  2 -> 27 [size =\"37617664\"]\n  2 -> 29 [size =\"37617664\"]\n  2 -> 30 [size =\"37617664\"]\n  2 -> 31 [size =\"37617664\"]\n  3 [size=\"83415040\", alpha=\"0.18\", expect_size=\"25024512\"] \n  3 -> 19 [size =\"25024512\"]\n  3 -> 21 [size =\"25024512\"]\n  3 -> 23 [size =\"25024512\"]\n  3 -> 26 [size =\"25024512\"]\n  3 -> 28 [size =\"25024512\"]\n  3 -> 32 [size =\"25024512\"]\n  4 [size=\"49131520\", alpha=\"0.20\", expect_size=\"14739456\"] \n  4 -> 17 [size =\"14739456\"]\n  4 -> 18 [size =\"14739456\"]\n  4 -> 22 [size =\"14739456\"]\n  4 -> 27 [size =\"14739456\"]\n  4 -> 28 [size =\"14739456\"]\n  4 -> 29 [size =\"14739456\"]\n  4 -> 30 [size =\"14739456\"]\n  4 -> 31 [size =\"14739456\"]\n  5 [size=\"55285760\", alpha=\"0.12\", expect_size=\"16585728\"] \n  5 -> 15 [size =\"16585728\"]\n  5 -> 16 [size =\"16585728\"]\n  5 -> 17 [size =\"16585728\"]\n  5 -> 21 [size =\"16585728\"]\n  5 -> 30 [size =\"16585728\"]\n  6 [size=\"89067520\", alpha=\"0.13\", expect_size=\"26720256\"] \n  6 -> 17 [size =\"26720256\"]\n  6 -> 19 [size =\"26720256\"]\n  6 -> 21 [size =\"26720256\"]\n  6 -> 23 [size =\"26720256\"]\n  6 -> 25 [size =\"26720256\"]\n  6 -> 26 [size =\"26720256\"]\n  6 -> 33 [size =\"26720256\"]\n  7 [size=\"55620267\", alpha=\"0.08\", expect_size=\"16686080\"] \n  7 -> 17 [size =\"16686080\"]\n  7 -> 19 [size =\"16686080\"]\n  7 -> 23 [size =\"16686080\"]\n  7 -> 25 [size =\"16686080\"]\n  7 -> 26 [size =\"16686080\"]\n  7 -> 31 [size =\"16686080\"]\n  8 [size=\"147261440\", alpha=\"0.18\", expect_size=\"44178432\"] \n  8 -> 18 [size =\"44178432\"]\n  8 -> 20 [size =\"44178432\"]\n  8 -> 23 [size =\"44178432\"]\n  9 [size=\"23514453\", alpha=\"0.12\", expect_size=\"7054336\"] \n  9 -> 19 [size =\"7054336\"]\n  9 -> 21 [size =\"7054336\"]\n  9 -> 23 [size =\"7054336\"]\n  9 -> 28 [size =\"7054336\"]\n  9 -> 32 [size =\"7054336\"]\n  10 [size=\"111691093\", alpha=\"0.18\", expect_size=\"33507328\"] \n  10 -> 16 [size =\"33507328\"]\n  10 -> 17 [size =\"33507328\"]\n  10 -> 22 [size =\"33507328\"]\n  10 -> 26 [size =\"33507328\"]\n  10 -> 31 [size =\"33507328\"]\n  11 [size=\"82001920\", alpha=\"0.07\", expect_size=\"24600576\"] \n  11 -> 19 [size =\"24600576\"]\n  11 -> 21 [size =\"24600576\"]\n  11 -> 22 [size =\"24600576\"]\n  11 -> 24 [size =\"24600576\"]\n  11 -> 27 [size =\"24600576\"]\n  12 [size=\"31221760\", alpha=\"0.18\", expect_size=\"9366528\"] \n  12 -> 24 [size =\"9366528\"]\n  12 -> 28 [size =\"9366528\"]\n  12 -> 31 [size =\"9366528\"]\n  13 [size=\"117285547\", alpha=\"0.14\", expect_size=\"35185664\"] \n  13 -> 15 [size =\"35185664\"]\n  13 -> 23 [size =\"35185664\"]\n  13 -> 24 [size =\"35185664\"]\n  13 -> 26 [size =\"35185664\"]\n  13 -> 27 [size =\"35185664\"]\n  13 -> 31 [size =\"35185664\"]\n  14 [size=\"101246293\", alpha=\"0.19\", expect_size=\"30373888\"] \n  14 -> 35 [size =\"30373888\"]\n  14 -> 40 [size =\"30373888\"]\n  14 -> 40 [size =\"30373888\"]\n  15 [size=\"98986667\", alpha=\"0.10\", expect_size=\"29696000\"] \n  15 -> 37 [size =\"29696000\"]\n  16 [size=\"38335147\", alpha=\"0.18\", expect_size=\"11500544\"] \n  17 [size=\"142721707\", alpha=\"0.19\", expect_size=\"42816512\"] \n  17 -> 39 [size =\"42816512\"]\n  18 [size=\"45533867\", alpha=\"0.10\", expect_size=\"13660160\"] \n  19 [size=\"27187200\", alpha=\"0.05\", expect_size=\"8156160\"] \n  19 -> 35 [size =\"8156160\"]\n  19 -> 36 [size =\"8156160\"]\n  19 -> 39 [size =\"8156160\"]\n  20 [size=\"124549120\", alpha=\"0.19\", expect_size=\"37364736\"] \n  20 -> 34 [size =\"37364736\"]\n  20 -> 35 [size =\"37364736\"]\n  20 -> 38 [size =\"37364736\"]\n  20 -> 40 [size =\"37364736\"]\n  21 [size=\"107588267\", alpha=\"0.15\", expect_size=\"32276480\"] \n  21 -> 36 [size =\"32276480\"]\n  21 -> 37 [size =\"32276480\"]\n  21 -> 38 [size =\"32276480\"]\n  22 [size=\"159484587\", alpha=\"0.05\", expect_size=\"47845376\"] \n  22 -> 38 [size =\"47845376\"]\n  22 -> 39 [size =\"47845376\"]\n  23 [size=\"145582080\", alpha=\"0.04\", expect_size=\"43674624\"] \n  23 -> 34 [size =\"43674624\"]\n  23 -> 35 [size =\"43674624\"]\n  24 [size=\"99962880\", alpha=\"0.06\", expect_size=\"29988864\"] \n  24 -> 34 [size =\"29988864\"]\n  24 -> 35 [size =\"29988864\"]\n  24 -> 38 [size =\"29988864\"]\n  25 [size=\"90490880\", alpha=\"0.13\", expect_size=\"27147264\"] \n  25 -> 37 [size =\"27147264\"]\n  25 -> 38 [size =\"27147264\"]\n  25 -> 39 [size =\"27147264\"]\n  25 -> 40 [size =\"27147264\"]\n  26 [size=\"171560960\", alpha=\"0.09\", expect_size=\"51468288\"] \n  26 -> 35 [size =\"51468288\"]\n  27 [size=\"157040640\", alpha=\"0.11\", expect_size=\"47112192\"] \n  27 -> 34 [size =\"47112192\"]\n  28 [size=\"151022933\", alpha=\"0.08\", expect_size=\"45306880\"] \n  28 -> 34 [size =\"45306880\"]\n  28 -> 36 [size =\"45306880\"]\n  28 -> 37 [size =\"45306880\"]\n  29 [size=\"74656427\", alpha=\"0.07\", expect_size=\"22396928\"] \n  29 -> 34 [size =\"22396928\"]\n  29 -> 35 [size =\"22396928\"]\n  29 -> 36 [size =\"22396928\"]\n  29 -> 39 [size =\"22396928\"]\n  30 [size=\"111220053\", alpha=\"0.17\", expect_size=\"33366016\"] \n  30 -> 35 [size =\"33366016\"]\n  30 -> 37 [size =\"33366016\"]\n  30 -> 38 [size =\"33366016\"]\n  31 [size=\"103874560\", alpha=\"0.16\", expect_size=\"31162368\"] \n  31 -> 40 [size =\"31162368\"]\n  32 [size=\"66969600\", alpha=\"0.16\", expect_size=\"20090880\"] \n  32 -> 40 [size =\"20090880\"]\n  33 [size=\"108424533\", alpha=\"0.09\", expect_size=\"32527360\"] \n  33 -> 34 [size =\"32527360\"]\n  33 -> 37 [size =\"32527360\"]\n  33 -> 40 [size =\"32527360\"]\n  34 [size=\"136891733\", alpha=\"0.13\", expect_size=\"41067520\"] \n  35 [size=\"26743467\", alpha=\"0.07\", expect_size=\"8023040\"] \n  36 [size=\"130358613\", alpha=\"0.03\", expect_size=\"39107584\"] \n  37 [size=\"47476053\", alpha=\"0.16\", expect_size=\"14242816\"] \n  38 [size=\"130805760\", alpha=\"0.12\", expect_size=\"39241728\"] \n  39 [size=\"38283947\", alpha=\"0.10\", expect_size=\"11485184\"] \n  40 [size=\"90518187\", alpha=\"0.01\", expect_size=\"27155456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89939968\", alpha=\"0.05\", expect_size=\"44969984\"] \n  1 -> 2 [size =\"44969984\"]\n  2 [size=\"90343424\", alpha=\"0.05\", expect_size=\"45171712\"] \n  2 -> 3 [size =\"45171712\"]\n  3 [size=\"11137024\", alpha=\"0.08\", expect_size=\"5568512\"] \n  3 -> 4 [size =\"5568512\"]\n  4 [size=\"43558912\", alpha=\"0.14\", expect_size=\"21779456\"] \n  4 -> 5 [size =\"21779456\"]\n  5 [size=\"76969984\", alpha=\"0.16\", expect_size=\"38484992\"] \n  5 -> 6 [size =\"38484992\"]\n  6 [size=\"57036800\", alpha=\"0.13\", expect_size=\"28518400\"] \n  6 -> 7 [size =\"28518400\"]\n  7 [size=\"50939904\", alpha=\"0.08\", expect_size=\"25469952\"] \n  7 -> 8 [size =\"25469952\"]\n  8 [size=\"82925568\", alpha=\"0.04\", expect_size=\"41462784\"] \n  8 -> 9 [size =\"41462784\"]\n  9 [size=\"12861440\", alpha=\"0.07\", expect_size=\"6430720\"] \n  9 -> 10 [size =\"6430720\"]\n  10 [size=\"48605184\", alpha=\"0.14\", expect_size=\"24302592\"] \n  10 -> 11 [size =\"24302592\"]\n  11 [size=\"99528704\", alpha=\"0.17\", expect_size=\"49764352\"] \n  11 -> 12 [size =\"49764352\"]\n  12 [size=\"30105600\", alpha=\"0.06\", expect_size=\"15052800\"] \n  12 -> 13 [size =\"15052800\"]\n  13 [size=\"52410368\", alpha=\"0.14\", expect_size=\"26205184\"] \n  13 -> 14 [size =\"26205184\"]\n  14 [size=\"88508416\", alpha=\"0.16\", expect_size=\"44254208\"] \n  14 -> 15 [size =\"44254208\"]\n  15 [size=\"59645952\", alpha=\"0.08\", expect_size=\"29822976\"] \n  15 -> 16 [size =\"29822976\"]\n  16 [size=\"42809344\", alpha=\"0.19\", expect_size=\"21404672\"] \n  16 -> 17 [size =\"21404672\"]\n  17 [size=\"101992448\", alpha=\"0.08\", expect_size=\"50996224\"] \n  17 -> 18 [size =\"50996224\"]\n  18 [size=\"43087872\", alpha=\"0.00\", expect_size=\"21543936\"] \n  18 -> 19 [size =\"21543936\"]\n  19 [size=\"64112640\", alpha=\"0.09\", expect_size=\"32056320\"] \n  19 -> 20 [size =\"32056320\"]\n  20 [size=\"99420160\", alpha=\"0.12\", expect_size=\"49710080\"] \n  20 -> 21 [size =\"49710080\"]\n  21 [size=\"70664192\", alpha=\"0.13\", expect_size=\"35332096\"] \n  21 -> 22 [size =\"35332096\"]\n  22 [size=\"54736896\", alpha=\"0.10\", expect_size=\"27368448\"] \n  22 -> 23 [size =\"27368448\"]\n  23 [size=\"82800640\", alpha=\"0.08\", expect_size=\"41400320\"] \n  23 -> 24 [size =\"41400320\"]\n  24 [size=\"54353920\", alpha=\"0.12\", expect_size=\"27176960\"] \n  24 -> 25 [size =\"27176960\"]\n  25 [size=\"36528128\", alpha=\"0.11\", expect_size=\"18264064\"] \n  25 -> 26 [size =\"18264064\"]\n  26 [size=\"72196096\", alpha=\"0.19\", expect_size=\"36098048\"] \n  26 -> 27 [size =\"36098048\"]\n  27 [size=\"67473408\", alpha=\"0.16\", expect_size=\"33736704\"] \n  27 -> 28 [size =\"33736704\"]\n  28 [size=\"12552192\", alpha=\"0.09\", expect_size=\"6276096\"] \n  28 -> 29 [size =\"6276096\"]\n  29 [size=\"12644352\", alpha=\"0.02\", expect_size=\"6322176\"] \n  29 -> 30 [size =\"6322176\"]\n  30 [size=\"53190656\", alpha=\"0.03\", expect_size=\"26595328\"] \n  30 -> 31 [size =\"26595328\"]\n  31 [size=\"16547840\", alpha=\"0.03\", expect_size=\"8273920\"] \n  31 -> 32 [size =\"8273920\"]\n  32 [size=\"76544000\", alpha=\"0.07\", expect_size=\"38272000\"] \n  32 -> 33 [size =\"38272000\"]\n  33 [size=\"29925376\", alpha=\"0.20\", expect_size=\"14962688\"] \n  33 -> 34 [size =\"14962688\"]\n  34 [size=\"66086912\", alpha=\"0.09\", expect_size=\"33043456\"] \n  34 -> 35 [size =\"33043456\"]\n  35 [size=\"29360128\", alpha=\"0.09\", expect_size=\"14680064\"] \n  35 -> 36 [size =\"14680064\"]\n  36 [size=\"80599040\", alpha=\"0.16\", expect_size=\"40299520\"] \n  36 -> 37 [size =\"40299520\"]\n  37 [size=\"77615104\", alpha=\"0.02\", expect_size=\"38807552\"] \n  37 -> 38 [size =\"38807552\"]\n  38 [size=\"60862464\", alpha=\"0.15\", expect_size=\"30431232\"] \n  38 -> 39 [size =\"30431232\"]\n  39 [size=\"102780928\", alpha=\"0.19\", expect_size=\"51390464\"] \n  39 -> 40 [size =\"51390464\"]\n  40 [size=\"17002496\", alpha=\"0.03\", expect_size=\"8501248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100226560\", alpha=\"0.18\", expect_size=\"40090624\"] \n  1 -> 2 [size =\"40090624\"]\n  2 [size=\"76556800\", alpha=\"0.17\", expect_size=\"30622720\"] \n  2 -> 3 [size =\"30622720\"]\n  3 [size=\"25914880\", alpha=\"0.01\", expect_size=\"10365952\"] \n  3 -> 4 [size =\"10365952\"]\n  4 [size=\"51712000\", alpha=\"0.19\", expect_size=\"20684800\"] \n  4 -> 5 [size =\"20684800\"]\n  5 [size=\"45655040\", alpha=\"0.06\", expect_size=\"18262016\"] \n  5 -> 6 [size =\"18262016\"]\n  6 [size=\"13921280\", alpha=\"0.00\", expect_size=\"5568512\"] \n  6 -> 7 [size =\"5568512\"]\n  7 [size=\"108948480\", alpha=\"0.17\", expect_size=\"43579392\"] \n  7 -> 8 [size =\"43579392\"]\n  8 [size=\"114306560\", alpha=\"0.13\", expect_size=\"45722624\"] \n  8 -> 9 [size =\"45722624\"]\n  9 [size=\"62824960\", alpha=\"0.01\", expect_size=\"25129984\"] \n  9 -> 10 [size =\"25129984\"]\n  10 [size=\"76915200\", alpha=\"0.15\", expect_size=\"30766080\"] \n  10 -> 11 [size =\"30766080\"]\n  11 [size=\"122086400\", alpha=\"0.06\", expect_size=\"48834560\"] \n  11 -> 12 [size =\"48834560\"]\n  12 [size=\"112826880\", alpha=\"0.14\", expect_size=\"45130752\"] \n  12 -> 13 [size =\"45130752\"]\n  13 [size=\"96875520\", alpha=\"0.19\", expect_size=\"38750208\"] \n  13 -> 14 [size =\"38750208\"]\n  14 [size=\"99865600\", alpha=\"0.14\", expect_size=\"39946240\"] \n  14 -> 15 [size =\"39946240\"]\n  15 [size=\"95736320\", alpha=\"0.16\", expect_size=\"38294528\"] \n  15 -> 16 [size =\"38294528\"]\n  16 [size=\"14914560\", alpha=\"0.07\", expect_size=\"5965824\"] \n  16 -> 17 [size =\"5965824\"]\n  17 [size=\"16883200\", alpha=\"0.19\", expect_size=\"6753280\"] \n  17 -> 18 [size =\"6753280\"]\n  18 [size=\"119004160\", alpha=\"0.01\", expect_size=\"47601664\"] \n  18 -> 19 [size =\"47601664\"]\n  19 [size=\"75878400\", alpha=\"0.01\", expect_size=\"30351360\"] \n  19 -> 20 [size =\"30351360\"]\n  20 [size=\"84152320\", alpha=\"0.20\", expect_size=\"33660928\"] \n  20 -> 21 [size =\"33660928\"]\n  21 [size=\"55769600\", alpha=\"0.14\", expect_size=\"22307840\"] \n  21 -> 22 [size =\"22307840\"]\n  22 [size=\"88215040\", alpha=\"0.18\", expect_size=\"35286016\"] \n  22 -> 23 [size =\"35286016\"]\n  23 [size=\"54717440\", alpha=\"0.05\", expect_size=\"21886976\"] \n  23 -> 24 [size =\"21886976\"]\n  24 [size=\"48289280\", alpha=\"0.18\", expect_size=\"19315712\"] \n  24 -> 25 [size =\"19315712\"]\n  25 [size=\"130700800\", alpha=\"0.17\", expect_size=\"52280320\"] \n  25 -> 26 [size =\"52280320\"]\n  26 [size=\"106926080\", alpha=\"0.16\", expect_size=\"42770432\"] \n  26 -> 27 [size =\"42770432\"]\n  27 [size=\"29847040\", alpha=\"0.12\", expect_size=\"11938816\"] \n  27 -> 28 [size =\"11938816\"]\n  28 [size=\"24847360\", alpha=\"0.04\", expect_size=\"9938944\"] \n  28 -> 29 [size =\"9938944\"]\n  29 [size=\"32368640\", alpha=\"0.05\", expect_size=\"12947456\"] \n  29 -> 30 [size =\"12947456\"]\n  30 [size=\"36139520\", alpha=\"0.16\", expect_size=\"14455808\"] \n  30 -> 31 [size =\"14455808\"]\n  31 [size=\"34606080\", alpha=\"0.07\", expect_size=\"13842432\"] \n  31 -> 32 [size =\"13842432\"]\n  32 [size=\"114885120\", alpha=\"0.14\", expect_size=\"45954048\"] \n  32 -> 33 [size =\"45954048\"]\n  33 [size=\"104496640\", alpha=\"0.15\", expect_size=\"41798656\"] \n  33 -> 34 [size =\"41798656\"]\n  34 [size=\"16253440\", alpha=\"0.11\", expect_size=\"6501376\"] \n  34 -> 35 [size =\"6501376\"]\n  35 [size=\"124687360\", alpha=\"0.01\", expect_size=\"49874944\"] \n  35 -> 36 [size =\"49874944\"]\n  36 [size=\"108454400\", alpha=\"0.11\", expect_size=\"43381760\"] \n  36 -> 37 [size =\"43381760\"]\n  37 [size=\"86333440\", alpha=\"0.02\", expect_size=\"34533376\"] \n  37 -> 38 [size =\"34533376\"]\n  38 [size=\"36200960\", alpha=\"0.11\", expect_size=\"14480384\"] \n  38 -> 39 [size =\"14480384\"]\n  39 [size=\"59258880\", alpha=\"0.10\", expect_size=\"23703552\"] \n  39 -> 40 [size =\"23703552\"]\n  40 [size=\"87262720\", alpha=\"0.02\", expect_size=\"34905088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22562816\", alpha=\"0.11\", expect_size=\"11281408\"] \n  1 -> 33 [size =\"11281408\"]\n  1 -> 34 [size =\"11281408\"]\n  1 -> 36 [size =\"11281408\"]\n  2 [size=\"57950208\", alpha=\"0.17\", expect_size=\"28975104\"] \n  2 -> 31 [size =\"28975104\"]\n  2 -> 35 [size =\"28975104\"]\n  2 -> 36 [size =\"28975104\"]\n  2 -> 40 [size =\"28975104\"]\n  3 [size=\"46438400\", alpha=\"0.17\", expect_size=\"23219200\"] \n  3 -> 30 [size =\"23219200\"]\n  3 -> 34 [size =\"23219200\"]\n  3 -> 35 [size =\"23219200\"]\n  3 -> 38 [size =\"23219200\"]\n  3 -> 40 [size =\"23219200\"]\n  4 [size=\"92610560\", alpha=\"0.11\", expect_size=\"46305280\"] \n  4 -> 32 [size =\"46305280\"]\n  4 -> 35 [size =\"46305280\"]\n  4 -> 36 [size =\"46305280\"]\n  5 [size=\"51632128\", alpha=\"0.13\", expect_size=\"25816064\"] \n  5 -> 30 [size =\"25816064\"]\n  5 -> 32 [size =\"25816064\"]\n  5 -> 33 [size =\"25816064\"]\n  5 -> 35 [size =\"25816064\"]\n  5 -> 36 [size =\"25816064\"]\n  5 -> 40 [size =\"25816064\"]\n  6 [size=\"76605440\", alpha=\"0.07\", expect_size=\"38302720\"] \n  6 -> 35 [size =\"38302720\"]\n  7 [size=\"66951168\", alpha=\"0.15\", expect_size=\"33475584\"] \n  7 -> 30 [size =\"33475584\"]\n  7 -> 31 [size =\"33475584\"]\n  7 -> 36 [size =\"33475584\"]\n  8 [size=\"67969024\", alpha=\"0.09\", expect_size=\"33984512\"] \n  8 -> 30 [size =\"33984512\"]\n  8 -> 34 [size =\"33984512\"]\n  8 -> 35 [size =\"33984512\"]\n  9 [size=\"71069696\", alpha=\"0.06\", expect_size=\"35534848\"] \n  9 -> 30 [size =\"35534848\"]\n  9 -> 31 [size =\"35534848\"]\n  9 -> 35 [size =\"35534848\"]\n  9 -> 40 [size =\"35534848\"]\n  10 [size=\"10655744\", alpha=\"0.19\", expect_size=\"5327872\"] \n  10 -> 33 [size =\"5327872\"]\n  10 -> 40 [size =\"5327872\"]\n  11 [size=\"34367488\", alpha=\"0.19\", expect_size=\"17183744\"] \n  11 -> 32 [size =\"17183744\"]\n  11 -> 34 [size =\"17183744\"]\n  11 -> 39 [size =\"17183744\"]\n  11 -> 40 [size =\"17183744\"]\n  12 [size=\"85485568\", alpha=\"0.16\", expect_size=\"42742784\"] \n  13 [size=\"71475200\", alpha=\"0.05\", expect_size=\"35737600\"] \n  13 -> 31 [size =\"35737600\"]\n  13 -> 35 [size =\"35737600\"]\n  13 -> 36 [size =\"35737600\"]\n  13 -> 40 [size =\"35737600\"]\n  14 [size=\"57792512\", alpha=\"0.17\", expect_size=\"28896256\"] \n  14 -> 33 [size =\"28896256\"]\n  14 -> 34 [size =\"28896256\"]\n  14 -> 35 [size =\"28896256\"]\n  15 [size=\"14432256\", alpha=\"0.17\", expect_size=\"7216128\"] \n  15 -> 31 [size =\"7216128\"]\n  15 -> 32 [size =\"7216128\"]\n  15 -> 33 [size =\"7216128\"]\n  15 -> 34 [size =\"7216128\"]\n  16 [size=\"77256704\", alpha=\"0.09\", expect_size=\"38628352\"] \n  16 -> 31 [size =\"38628352\"]\n  16 -> 32 [size =\"38628352\"]\n  16 -> 34 [size =\"38628352\"]\n  16 -> 40 [size =\"38628352\"]\n  17 [size=\"17258496\", alpha=\"0.01\", expect_size=\"8629248\"] \n  17 -> 31 [size =\"8629248\"]\n  17 -> 33 [size =\"8629248\"]\n  17 -> 35 [size =\"8629248\"]\n  17 -> 40 [size =\"8629248\"]\n  18 [size=\"90169344\", alpha=\"0.15\", expect_size=\"45084672\"] \n  18 -> 30 [size =\"45084672\"]\n  18 -> 36 [size =\"45084672\"]\n  18 -> 40 [size =\"45084672\"]\n  19 [size=\"36481024\", alpha=\"0.19\", expect_size=\"18240512\"] \n  19 -> 31 [size =\"18240512\"]\n  19 -> 32 [size =\"18240512\"]\n  19 -> 35 [size =\"18240512\"]\n  19 -> 38 [size =\"18240512\"]\n  19 -> 39 [size =\"18240512\"]\n  19 -> 40 [size =\"18240512\"]\n  20 [size=\"62603264\", alpha=\"0.05\", expect_size=\"31301632\"] \n  20 -> 30 [size =\"31301632\"]\n  20 -> 35 [size =\"31301632\"]\n  20 -> 35 [size =\"31301632\"]\n  20 -> 38 [size =\"31301632\"]\n  21 [size=\"56104960\", alpha=\"0.14\", expect_size=\"28052480\"] \n  21 -> 35 [size =\"28052480\"]\n  22 [size=\"50876416\", alpha=\"0.13\", expect_size=\"25438208\"] \n  22 -> 33 [size =\"25438208\"]\n  22 -> 34 [size =\"25438208\"]\n  23 [size=\"31885312\", alpha=\"0.19\", expect_size=\"15942656\"] \n  23 -> 33 [size =\"15942656\"]\n  23 -> 36 [size =\"15942656\"]\n  23 -> 39 [size =\"15942656\"]\n  24 [size=\"53442560\", alpha=\"0.03\", expect_size=\"26721280\"] \n  24 -> 30 [size =\"26721280\"]\n  24 -> 31 [size =\"26721280\"]\n  24 -> 33 [size =\"26721280\"]\n  24 -> 35 [size =\"26721280\"]\n  24 -> 39 [size =\"26721280\"]\n  25 [size=\"38387712\", alpha=\"0.15\", expect_size=\"19193856\"] \n  25 -> 31 [size =\"19193856\"]\n  25 -> 35 [size =\"19193856\"]\n  25 -> 36 [size =\"19193856\"]\n  26 [size=\"23496704\", alpha=\"0.02\", expect_size=\"11748352\"] \n  26 -> 30 [size =\"11748352\"]\n  26 -> 34 [size =\"11748352\"]\n  27 [size=\"67018752\", alpha=\"0.20\", expect_size=\"33509376\"] \n  27 -> 30 [size =\"33509376\"]\n  27 -> 31 [size =\"33509376\"]\n  27 -> 35 [size =\"33509376\"]\n  27 -> 40 [size =\"33509376\"]\n  28 [size=\"70275072\", alpha=\"0.11\", expect_size=\"35137536\"] \n  28 -> 33 [size =\"35137536\"]\n  28 -> 35 [size =\"35137536\"]\n  28 -> 40 [size =\"35137536\"]\n  29 [size=\"46088192\", alpha=\"0.14\", expect_size=\"23044096\"] \n  29 -> 35 [size =\"23044096\"]\n  29 -> 36 [size =\"23044096\"]\n  29 -> 37 [size =\"23044096\"]\n  29 -> 40 [size =\"23044096\"]\n  30 [size=\"42559488\", alpha=\"0.17\", expect_size=\"21279744\"] \n  31 [size=\"67688448\", alpha=\"0.06\", expect_size=\"33844224\"] \n  32 [size=\"39180288\", alpha=\"0.10\", expect_size=\"19590144\"] \n  33 [size=\"98871296\", alpha=\"0.08\", expect_size=\"49435648\"] \n  34 [size=\"93972480\", alpha=\"0.15\", expect_size=\"46986240\"] \n  35 [size=\"12238848\", alpha=\"0.03\", expect_size=\"6119424\"] \n  36 [size=\"83560448\", alpha=\"0.06\", expect_size=\"41780224\"] \n  37 [size=\"90943488\", alpha=\"0.10\", expect_size=\"45471744\"] \n  38 [size=\"90851328\", alpha=\"0.10\", expect_size=\"45425664\"] \n  39 [size=\"46397440\", alpha=\"0.16\", expect_size=\"23198720\"] \n  40 [size=\"18167808\", alpha=\"0.14\", expect_size=\"9083904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81192960\", alpha=\"0.01\", expect_size=\"24357888\"] \n  1 -> 14 [size =\"24357888\"]\n  1 -> 15 [size =\"24357888\"]\n  1 -> 18 [size =\"24357888\"]\n  1 -> 21 [size =\"24357888\"]\n  2 [size=\"86046720\", alpha=\"0.02\", expect_size=\"25814016\"] \n  2 -> 15 [size =\"25814016\"]\n  2 -> 15 [size =\"25814016\"]\n  2 -> 18 [size =\"25814016\"]\n  2 -> 21 [size =\"25814016\"]\n  2 -> 22 [size =\"25814016\"]\n  2 -> 23 [size =\"25814016\"]\n  2 -> 24 [size =\"25814016\"]\n  3 [size=\"75205973\", alpha=\"0.08\", expect_size=\"22561792\"] \n  3 -> 17 [size =\"22561792\"]\n  3 -> 18 [size =\"22561792\"]\n  3 -> 18 [size =\"22561792\"]\n  3 -> 20 [size =\"22561792\"]\n  3 -> 23 [size =\"22561792\"]\n  4 [size=\"117459627\", alpha=\"0.08\", expect_size=\"35237888\"] \n  4 -> 13 [size =\"35237888\"]\n  4 -> 14 [size =\"35237888\"]\n  4 -> 15 [size =\"35237888\"]\n  4 -> 21 [size =\"35237888\"]\n  5 [size=\"20415147\", alpha=\"0.20\", expect_size=\"6124544\"] \n  5 -> 13 [size =\"6124544\"]\n  5 -> 14 [size =\"6124544\"]\n  5 -> 20 [size =\"6124544\"]\n  5 -> 23 [size =\"6124544\"]\n  5 -> 24 [size =\"6124544\"]\n  6 [size=\"123712853\", alpha=\"0.03\", expect_size=\"37113856\"] \n  6 -> 14 [size =\"37113856\"]\n  6 -> 15 [size =\"37113856\"]\n  6 -> 17 [size =\"37113856\"]\n  6 -> 20 [size =\"37113856\"]\n  6 -> 23 [size =\"37113856\"]\n  6 -> 25 [size =\"37113856\"]\n  7 [size=\"43120640\", alpha=\"0.03\", expect_size=\"12936192\"] \n  7 -> 14 [size =\"12936192\"]\n  7 -> 20 [size =\"12936192\"]\n  7 -> 21 [size =\"12936192\"]\n  7 -> 23 [size =\"12936192\"]\n  7 -> 24 [size =\"12936192\"]\n  8 [size=\"75868160\", alpha=\"0.12\", expect_size=\"22760448\"] \n  8 -> 14 [size =\"22760448\"]\n  8 -> 20 [size =\"22760448\"]\n  9 [size=\"165236053\", alpha=\"0.10\", expect_size=\"49570816\"] \n  9 -> 14 [size =\"49570816\"]\n  9 -> 15 [size =\"49570816\"]\n  9 -> 16 [size =\"49570816\"]\n  9 -> 18 [size =\"49570816\"]\n  9 -> 20 [size =\"49570816\"]\n  9 -> 22 [size =\"49570816\"]\n  10 [size=\"65563307\", alpha=\"0.15\", expect_size=\"19668992\"] \n  10 -> 13 [size =\"19668992\"]\n  10 -> 14 [size =\"19668992\"]\n  10 -> 20 [size =\"19668992\"]\n  10 -> 23 [size =\"19668992\"]\n  10 -> 24 [size =\"19668992\"]\n  11 [size=\"167464960\", alpha=\"0.04\", expect_size=\"50239488\"] \n  11 -> 13 [size =\"50239488\"]\n  11 -> 15 [size =\"50239488\"]\n  11 -> 17 [size =\"50239488\"]\n  11 -> 18 [size =\"50239488\"]\n  11 -> 19 [size =\"50239488\"]\n  11 -> 20 [size =\"50239488\"]\n  11 -> 23 [size =\"50239488\"]\n  12 [size=\"21084160\", alpha=\"0.03\", expect_size=\"6325248\"] \n  12 -> 15 [size =\"6325248\"]\n  12 -> 17 [size =\"6325248\"]\n  12 -> 18 [size =\"6325248\"]\n  12 -> 18 [size =\"6325248\"]\n  12 -> 19 [size =\"6325248\"]\n  12 -> 21 [size =\"6325248\"]\n  13 [size=\"35368960\", alpha=\"0.17\", expect_size=\"10610688\"] \n  13 -> 28 [size =\"10610688\"]\n  13 -> 30 [size =\"10610688\"]\n  14 [size=\"99058347\", alpha=\"0.05\", expect_size=\"29717504\"] \n  14 -> 31 [size =\"29717504\"]\n  14 -> 32 [size =\"29717504\"]\n  14 -> 35 [size =\"29717504\"]\n  15 [size=\"163467947\", alpha=\"0.20\", expect_size=\"49040384\"] \n  15 -> 27 [size =\"49040384\"]\n  15 -> 30 [size =\"49040384\"]\n  15 -> 31 [size =\"49040384\"]\n  15 -> 32 [size =\"49040384\"]\n  15 -> 33 [size =\"49040384\"]\n  15 -> 35 [size =\"49040384\"]\n  15 -> 36 [size =\"49040384\"]\n  16 [size=\"162187947\", alpha=\"0.14\", expect_size=\"48656384\"] \n  16 -> 26 [size =\"48656384\"]\n  16 -> 28 [size =\"48656384\"]\n  16 -> 30 [size =\"48656384\"]\n  16 -> 34 [size =\"48656384\"]\n  16 -> 35 [size =\"48656384\"]\n  16 -> 36 [size =\"48656384\"]\n  16 -> 37 [size =\"48656384\"]\n  17 [size=\"31003307\", alpha=\"0.01\", expect_size=\"9300992\"] \n  17 -> 28 [size =\"9300992\"]\n  17 -> 30 [size =\"9300992\"]\n  17 -> 35 [size =\"9300992\"]\n  17 -> 37 [size =\"9300992\"]\n  18 [size=\"54565547\", alpha=\"0.02\", expect_size=\"16369664\"] \n  18 -> 26 [size =\"16369664\"]\n  18 -> 29 [size =\"16369664\"]\n  18 -> 32 [size =\"16369664\"]\n  18 -> 35 [size =\"16369664\"]\n  19 [size=\"147056640\", alpha=\"0.14\", expect_size=\"44116992\"] \n  19 -> 32 [size =\"44116992\"]\n  19 -> 37 [size =\"44116992\"]\n  20 [size=\"69997227\", alpha=\"0.18\", expect_size=\"20999168\"] \n  20 -> 27 [size =\"20999168\"]\n  20 -> 28 [size =\"20999168\"]\n  20 -> 35 [size =\"20999168\"]\n  21 [size=\"28924587\", alpha=\"0.10\", expect_size=\"8677376\"] \n  21 -> 26 [size =\"8677376\"]\n  21 -> 27 [size =\"8677376\"]\n  21 -> 28 [size =\"8677376\"]\n  21 -> 30 [size =\"8677376\"]\n  21 -> 34 [size =\"8677376\"]\n  21 -> 35 [size =\"8677376\"]\n  21 -> 37 [size =\"8677376\"]\n  22 [size=\"56965120\", alpha=\"0.10\", expect_size=\"17089536\"] \n  22 -> 27 [size =\"17089536\"]\n  22 -> 28 [size =\"17089536\"]\n  22 -> 30 [size =\"17089536\"]\n  22 -> 32 [size =\"17089536\"]\n  22 -> 35 [size =\"17089536\"]\n  22 -> 37 [size =\"17089536\"]\n  23 [size=\"82786987\", alpha=\"0.18\", expect_size=\"24836096\"] \n  23 -> 28 [size =\"24836096\"]\n  23 -> 32 [size =\"24836096\"]\n  23 -> 37 [size =\"24836096\"]\n  24 [size=\"59368107\", alpha=\"0.18\", expect_size=\"17810432\"] \n  24 -> 28 [size =\"17810432\"]\n  24 -> 29 [size =\"17810432\"]\n  24 -> 37 [size =\"17810432\"]\n  25 [size=\"100584107\", alpha=\"0.19\", expect_size=\"30175232\"] \n  25 -> 26 [size =\"30175232\"]\n  25 -> 28 [size =\"30175232\"]\n  25 -> 29 [size =\"30175232\"]\n  25 -> 30 [size =\"30175232\"]\n  25 -> 32 [size =\"30175232\"]\n  25 -> 35 [size =\"30175232\"]\n  26 [size=\"97669120\", alpha=\"0.14\", expect_size=\"29300736\"] \n  26 -> 38 [size =\"29300736\"]\n  26 -> 39 [size =\"29300736\"]\n  27 [size=\"52538027\", alpha=\"0.12\", expect_size=\"15761408\"] \n  28 [size=\"60535467\", alpha=\"0.17\", expect_size=\"18160640\"] \n  28 -> 40 [size =\"18160640\"]\n  29 [size=\"75673600\", alpha=\"0.01\", expect_size=\"22702080\"] \n  29 -> 38 [size =\"22702080\"]\n  29 -> 40 [size =\"22702080\"]\n  30 [size=\"29515093\", alpha=\"0.11\", expect_size=\"8854528\"] \n  30 -> 38 [size =\"8854528\"]\n  31 [size=\"169570987\", alpha=\"0.20\", expect_size=\"50871296\"] \n  31 -> 38 [size =\"50871296\"]\n  31 -> 39 [size =\"50871296\"]\n  31 -> 40 [size =\"50871296\"]\n  32 [size=\"87698773\", alpha=\"0.09\", expect_size=\"26309632\"] \n  32 -> 38 [size =\"26309632\"]\n  33 [size=\"167041707\", alpha=\"0.01\", expect_size=\"50112512\"] \n  33 -> 39 [size =\"50112512\"]\n  34 [size=\"150760107\", alpha=\"0.03\", expect_size=\"45228032\"] \n  35 [size=\"138840747\", alpha=\"0.04\", expect_size=\"41652224\"] \n  35 -> 38 [size =\"41652224\"]\n  36 [size=\"134219093\", alpha=\"0.03\", expect_size=\"40265728\"] \n  37 [size=\"85852160\", alpha=\"0.04\", expect_size=\"25755648\"] \n  37 -> 38 [size =\"25755648\"]\n  38 [size=\"19380907\", alpha=\"0.10\", expect_size=\"5814272\"] \n  39 [size=\"150487040\", alpha=\"0.12\", expect_size=\"45146112\"] \n  40 [size=\"155074560\", alpha=\"0.01\", expect_size=\"46522368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20645888\", alpha=\"0.13\", expect_size=\"10322944\"] \n  1 -> 2 [size =\"10322944\"]\n  2 [size=\"41465856\", alpha=\"0.11\", expect_size=\"20732928\"] \n  2 -> 3 [size =\"20732928\"]\n  3 [size=\"73981952\", alpha=\"0.06\", expect_size=\"36990976\"] \n  3 -> 4 [size =\"36990976\"]\n  4 [size=\"17115136\", alpha=\"0.04\", expect_size=\"8557568\"] \n  4 -> 5 [size =\"8557568\"]\n  5 [size=\"92370944\", alpha=\"0.16\", expect_size=\"46185472\"] \n  5 -> 6 [size =\"46185472\"]\n  6 [size=\"10891264\", alpha=\"0.06\", expect_size=\"5445632\"] \n  6 -> 7 [size =\"5445632\"]\n  7 [size=\"59215872\", alpha=\"0.11\", expect_size=\"29607936\"] \n  7 -> 8 [size =\"29607936\"]\n  8 [size=\"38590464\", alpha=\"0.05\", expect_size=\"19295232\"] \n  8 -> 9 [size =\"19295232\"]\n  9 [size=\"50188288\", alpha=\"0.04\", expect_size=\"25094144\"] \n  9 -> 10 [size =\"25094144\"]\n  10 [size=\"98555904\", alpha=\"0.04\", expect_size=\"49277952\"] \n  10 -> 11 [size =\"49277952\"]\n  11 [size=\"62644224\", alpha=\"0.01\", expect_size=\"31322112\"] \n  11 -> 12 [size =\"31322112\"]\n  12 [size=\"28852224\", alpha=\"0.04\", expect_size=\"14426112\"] \n  12 -> 13 [size =\"14426112\"]\n  13 [size=\"80734208\", alpha=\"0.14\", expect_size=\"40367104\"] \n  13 -> 14 [size =\"40367104\"]\n  14 [size=\"15968256\", alpha=\"0.15\", expect_size=\"7984128\"] \n  14 -> 15 [size =\"7984128\"]\n  15 [size=\"35657728\", alpha=\"0.17\", expect_size=\"17828864\"] \n  15 -> 16 [size =\"17828864\"]\n  16 [size=\"17766400\", alpha=\"0.17\", expect_size=\"8883200\"] \n  16 -> 17 [size =\"8883200\"]\n  17 [size=\"46147584\", alpha=\"0.20\", expect_size=\"23073792\"] \n  17 -> 18 [size =\"23073792\"]\n  18 [size=\"99782656\", alpha=\"0.07\", expect_size=\"49891328\"] \n  18 -> 19 [size =\"49891328\"]\n  19 [size=\"28137472\", alpha=\"0.15\", expect_size=\"14068736\"] \n  19 -> 20 [size =\"14068736\"]\n  20 [size=\"46299136\", alpha=\"0.10\", expect_size=\"23149568\"] \n  20 -> 21 [size =\"23149568\"]\n  21 [size=\"63033344\", alpha=\"0.07\", expect_size=\"31516672\"] \n  21 -> 22 [size =\"31516672\"]\n  22 [size=\"68395008\", alpha=\"0.11\", expect_size=\"34197504\"] \n  22 -> 23 [size =\"34197504\"]\n  23 [size=\"85942272\", alpha=\"0.08\", expect_size=\"42971136\"] \n  23 -> 24 [size =\"42971136\"]\n  24 [size=\"58533888\", alpha=\"0.06\", expect_size=\"29266944\"] \n  24 -> 25 [size =\"29266944\"]\n  25 [size=\"34717696\", alpha=\"0.02\", expect_size=\"17358848\"] \n  25 -> 26 [size =\"17358848\"]\n  26 [size=\"22728704\", alpha=\"0.18\", expect_size=\"11364352\"] \n  26 -> 27 [size =\"11364352\"]\n  27 [size=\"103022592\", alpha=\"0.04\", expect_size=\"51511296\"] \n  27 -> 28 [size =\"51511296\"]\n  28 [size=\"101206016\", alpha=\"0.16\", expect_size=\"50603008\"] \n  28 -> 29 [size =\"50603008\"]\n  29 [size=\"40036352\", alpha=\"0.17\", expect_size=\"20018176\"] \n  29 -> 30 [size =\"20018176\"]\n  30 [size=\"17330176\", alpha=\"0.16\", expect_size=\"8665088\"] \n  30 -> 31 [size =\"8665088\"]\n  31 [size=\"64866304\", alpha=\"0.07\", expect_size=\"32433152\"] \n  31 -> 32 [size =\"32433152\"]\n  32 [size=\"98437120\", alpha=\"0.01\", expect_size=\"49218560\"] \n  32 -> 33 [size =\"49218560\"]\n  33 [size=\"54650880\", alpha=\"0.10\", expect_size=\"27325440\"] \n  33 -> 34 [size =\"27325440\"]\n  34 [size=\"91375616\", alpha=\"0.00\", expect_size=\"45687808\"] \n  34 -> 35 [size =\"45687808\"]\n  35 [size=\"26499072\", alpha=\"0.16\", expect_size=\"13249536\"] \n  35 -> 36 [size =\"13249536\"]\n  36 [size=\"36278272\", alpha=\"0.13\", expect_size=\"18139136\"] \n  36 -> 37 [size =\"18139136\"]\n  37 [size=\"26750976\", alpha=\"0.18\", expect_size=\"13375488\"] \n  37 -> 38 [size =\"13375488\"]\n  38 [size=\"46645248\", alpha=\"0.01\", expect_size=\"23322624\"] \n  38 -> 39 [size =\"23322624\"]\n  39 [size=\"29693952\", alpha=\"0.09\", expect_size=\"14846976\"] \n  39 -> 40 [size =\"14846976\"]\n  40 [size=\"15603712\", alpha=\"0.04\", expect_size=\"7801856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174561280\", alpha=\"0.16\", expect_size=\"52368384\"] \n  1 -> 2 [size =\"52368384\"]\n  2 [size=\"19408213\", alpha=\"0.13\", expect_size=\"5822464\"] \n  2 -> 3 [size =\"5822464\"]\n  3 [size=\"137687040\", alpha=\"0.19\", expect_size=\"41306112\"] \n  3 -> 4 [size =\"41306112\"]\n  4 [size=\"22777173\", alpha=\"0.09\", expect_size=\"6833152\"] \n  4 -> 5 [size =\"6833152\"]\n  5 [size=\"162501973\", alpha=\"0.06\", expect_size=\"48750592\"] \n  5 -> 6 [size =\"48750592\"]\n  6 [size=\"174213120\", alpha=\"0.14\", expect_size=\"52263936\"] \n  6 -> 7 [size =\"52263936\"]\n  7 [size=\"76250453\", alpha=\"0.01\", expect_size=\"22875136\"] \n  7 -> 8 [size =\"22875136\"]\n  8 [size=\"73451520\", alpha=\"0.03\", expect_size=\"22035456\"] \n  8 -> 9 [size =\"22035456\"]\n  9 [size=\"139895467\", alpha=\"0.18\", expect_size=\"41968640\"] \n  9 -> 10 [size =\"41968640\"]\n  10 [size=\"21309440\", alpha=\"0.15\", expect_size=\"6392832\"] \n  10 -> 11 [size =\"6392832\"]\n  11 [size=\"171513173\", alpha=\"0.00\", expect_size=\"51453952\"] \n  11 -> 12 [size =\"51453952\"]\n  12 [size=\"138594987\", alpha=\"0.02\", expect_size=\"41578496\"] \n  12 -> 13 [size =\"41578496\"]\n  13 [size=\"86606507\", alpha=\"0.19\", expect_size=\"25981952\"] \n  13 -> 14 [size =\"25981952\"]\n  14 [size=\"78373547\", alpha=\"0.13\", expect_size=\"23512064\"] \n  14 -> 15 [size =\"23512064\"]\n  15 [size=\"152408747\", alpha=\"0.16\", expect_size=\"45722624\"] \n  15 -> 16 [size =\"45722624\"]\n  16 [size=\"41588053\", alpha=\"0.06\", expect_size=\"12476416\"] \n  16 -> 17 [size =\"12476416\"]\n  17 [size=\"149002240\", alpha=\"0.11\", expect_size=\"44700672\"] \n  17 -> 18 [size =\"44700672\"]\n  18 [size=\"157231787\", alpha=\"0.19\", expect_size=\"47169536\"] \n  18 -> 19 [size =\"47169536\"]\n  19 [size=\"23319893\", alpha=\"0.08\", expect_size=\"6995968\"] \n  19 -> 20 [size =\"6995968\"]\n  20 [size=\"162897920\", alpha=\"0.09\", expect_size=\"48869376\"] \n  20 -> 21 [size =\"48869376\"]\n  21 [size=\"122613760\", alpha=\"0.09\", expect_size=\"36784128\"] \n  21 -> 22 [size =\"36784128\"]\n  22 [size=\"123774293\", alpha=\"0.09\", expect_size=\"37132288\"] \n  22 -> 23 [size =\"37132288\"]\n  23 [size=\"142083413\", alpha=\"0.05\", expect_size=\"42625024\"] \n  23 -> 24 [size =\"42625024\"]\n  24 [size=\"138001067\", alpha=\"0.02\", expect_size=\"41400320\"] \n  24 -> 25 [size =\"41400320\"]\n  25 [size=\"84357120\", alpha=\"0.17\", expect_size=\"25307136\"] \n  25 -> 26 [size =\"25307136\"]\n  26 [size=\"56644267\", alpha=\"0.11\", expect_size=\"16993280\"] \n  26 -> 27 [size =\"16993280\"]\n  27 [size=\"101345280\", alpha=\"0.14\", expect_size=\"30403584\"] \n  27 -> 28 [size =\"30403584\"]\n  28 [size=\"32590507\", alpha=\"0.03\", expect_size=\"9777152\"] \n  28 -> 29 [size =\"9777152\"]\n  29 [size=\"26518187\", alpha=\"0.08\", expect_size=\"7955456\"] \n  29 -> 30 [size =\"7955456\"]\n  30 [size=\"91054080\", alpha=\"0.14\", expect_size=\"27316224\"] \n  30 -> 31 [size =\"27316224\"]\n  31 [size=\"157975893\", alpha=\"0.19\", expect_size=\"47392768\"] \n  31 -> 32 [size =\"47392768\"]\n  32 [size=\"69806080\", alpha=\"0.19\", expect_size=\"20941824\"] \n  32 -> 33 [size =\"20941824\"]\n  33 [size=\"143045973\", alpha=\"0.09\", expect_size=\"42913792\"] \n  33 -> 34 [size =\"42913792\"]\n  34 [size=\"26047147\", alpha=\"0.06\", expect_size=\"7814144\"] \n  34 -> 35 [size =\"7814144\"]\n  35 [size=\"38686720\", alpha=\"0.20\", expect_size=\"11606016\"] \n  35 -> 36 [size =\"11606016\"]\n  36 [size=\"168707413\", alpha=\"0.17\", expect_size=\"50612224\"] \n  36 -> 37 [size =\"50612224\"]\n  37 [size=\"100980053\", alpha=\"0.11\", expect_size=\"30294016\"] \n  37 -> 38 [size =\"30294016\"]\n  38 [size=\"51572053\", alpha=\"0.03\", expect_size=\"15471616\"] \n  38 -> 39 [size =\"15471616\"]\n  39 [size=\"76462080\", alpha=\"0.15\", expect_size=\"22938624\"] \n  39 -> 40 [size =\"22938624\"]\n  40 [size=\"140776107\", alpha=\"0.06\", expect_size=\"42232832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68067840\", alpha=\"0.11\", expect_size=\"27227136\"] \n  1 -> 2 [size =\"27227136\"]\n  2 [size=\"106124800\", alpha=\"0.18\", expect_size=\"42449920\"] \n  2 -> 3 [size =\"42449920\"]\n  3 [size=\"127237120\", alpha=\"0.15\", expect_size=\"50894848\"] \n  3 -> 4 [size =\"50894848\"]\n  4 [size=\"87751680\", alpha=\"0.08\", expect_size=\"35100672\"] \n  4 -> 5 [size =\"35100672\"]\n  5 [size=\"88716800\", alpha=\"0.20\", expect_size=\"35486720\"] \n  5 -> 6 [size =\"35486720\"]\n  6 [size=\"94312960\", alpha=\"0.06\", expect_size=\"37725184\"] \n  6 -> 7 [size =\"37725184\"]\n  7 [size=\"68933120\", alpha=\"0.07\", expect_size=\"27573248\"] \n  7 -> 8 [size =\"27573248\"]\n  8 [size=\"37593600\", alpha=\"0.18\", expect_size=\"15037440\"] \n  8 -> 9 [size =\"15037440\"]\n  9 [size=\"130068480\", alpha=\"0.00\", expect_size=\"52027392\"] \n  9 -> 10 [size =\"52027392\"]\n  10 [size=\"77468160\", alpha=\"0.16\", expect_size=\"30987264\"] \n  10 -> 11 [size =\"30987264\"]\n  11 [size=\"63298560\", alpha=\"0.11\", expect_size=\"25319424\"] \n  11 -> 12 [size =\"25319424\"]\n  12 [size=\"127767040\", alpha=\"0.05\", expect_size=\"51106816\"] \n  12 -> 13 [size =\"51106816\"]\n  13 [size=\"117972480\", alpha=\"0.11\", expect_size=\"47188992\"] \n  13 -> 14 [size =\"47188992\"]\n  14 [size=\"86579200\", alpha=\"0.10\", expect_size=\"34631680\"] \n  14 -> 15 [size =\"34631680\"]\n  15 [size=\"17425920\", alpha=\"0.18\", expect_size=\"6970368\"] \n  15 -> 16 [size =\"6970368\"]\n  16 [size=\"16862720\", alpha=\"0.11\", expect_size=\"6745088\"] \n  16 -> 17 [size =\"6745088\"]\n  17 [size=\"54553600\", alpha=\"0.04\", expect_size=\"21821440\"] \n  17 -> 18 [size =\"21821440\"]\n  18 [size=\"94318080\", alpha=\"0.18\", expect_size=\"37727232\"] \n  18 -> 19 [size =\"37727232\"]\n  19 [size=\"83883520\", alpha=\"0.04\", expect_size=\"33553408\"] \n  19 -> 20 [size =\"33553408\"]\n  20 [size=\"84003840\", alpha=\"0.18\", expect_size=\"33601536\"] \n  20 -> 21 [size =\"33601536\"]\n  21 [size=\"60833280\", alpha=\"0.01\", expect_size=\"24333312\"] \n  21 -> 22 [size =\"24333312\"]\n  22 [size=\"124341760\", alpha=\"0.19\", expect_size=\"49736704\"] \n  22 -> 23 [size =\"49736704\"]\n  23 [size=\"33461760\", alpha=\"0.17\", expect_size=\"13384704\"] \n  23 -> 24 [size =\"13384704\"]\n  24 [size=\"97331200\", alpha=\"0.08\", expect_size=\"38932480\"] \n  24 -> 25 [size =\"38932480\"]\n  25 [size=\"40064000\", alpha=\"0.11\", expect_size=\"16025600\"] \n  25 -> 26 [size =\"16025600\"]\n  26 [size=\"26560000\", alpha=\"0.08\", expect_size=\"10624000\"] \n  26 -> 27 [size =\"10624000\"]\n  27 [size=\"88504320\", alpha=\"0.15\", expect_size=\"35401728\"] \n  27 -> 28 [size =\"35401728\"]\n  28 [size=\"110353920\", alpha=\"0.06\", expect_size=\"44141568\"] \n  28 -> 29 [size =\"44141568\"]\n  29 [size=\"97057280\", alpha=\"0.17\", expect_size=\"38822912\"] \n  29 -> 30 [size =\"38822912\"]\n  30 [size=\"121328640\", alpha=\"0.18\", expect_size=\"48531456\"] \n  30 -> 31 [size =\"48531456\"]\n  31 [size=\"107527680\", alpha=\"0.08\", expect_size=\"43011072\"] \n  31 -> 32 [size =\"43011072\"]\n  32 [size=\"110617600\", alpha=\"0.18\", expect_size=\"44247040\"] \n  32 -> 33 [size =\"44247040\"]\n  33 [size=\"105653760\", alpha=\"0.05\", expect_size=\"42261504\"] \n  33 -> 34 [size =\"42261504\"]\n  34 [size=\"88798720\", alpha=\"0.05\", expect_size=\"35519488\"] \n  34 -> 35 [size =\"35519488\"]\n  35 [size=\"16734720\", alpha=\"0.05\", expect_size=\"6693888\"] \n  35 -> 36 [size =\"6693888\"]\n  36 [size=\"83038720\", alpha=\"0.07\", expect_size=\"33215488\"] \n  36 -> 37 [size =\"33215488\"]\n  37 [size=\"15022080\", alpha=\"0.15\", expect_size=\"6008832\"] \n  37 -> 38 [size =\"6008832\"]\n  38 [size=\"104442880\", alpha=\"0.17\", expect_size=\"41777152\"] \n  38 -> 39 [size =\"41777152\"]\n  39 [size=\"21893120\", alpha=\"0.11\", expect_size=\"8757248\"] \n  39 -> 40 [size =\"8757248\"]\n  40 [size=\"120266240\", alpha=\"0.17\", expect_size=\"48106496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112742400\", alpha=\"0.11\", expect_size=\"45096960\"] \n  1 -> 16 [size =\"45096960\"]\n  1 -> 21 [size =\"45096960\"]\n  1 -> 22 [size =\"45096960\"]\n  1 -> 24 [size =\"45096960\"]\n  2 [size=\"81835520\", alpha=\"0.08\", expect_size=\"32734208\"] \n  2 -> 16 [size =\"32734208\"]\n  2 -> 17 [size =\"32734208\"]\n  2 -> 18 [size =\"32734208\"]\n  2 -> 20 [size =\"32734208\"]\n  2 -> 22 [size =\"32734208\"]\n  2 -> 25 [size =\"32734208\"]\n  2 -> 28 [size =\"32734208\"]\n  3 [size=\"61009920\", alpha=\"0.18\", expect_size=\"24403968\"] \n  3 -> 16 [size =\"24403968\"]\n  3 -> 17 [size =\"24403968\"]\n  3 -> 18 [size =\"24403968\"]\n  3 -> 19 [size =\"24403968\"]\n  3 -> 20 [size =\"24403968\"]\n  3 -> 25 [size =\"24403968\"]\n  3 -> 28 [size =\"24403968\"]\n  4 [size=\"104837120\", alpha=\"0.02\", expect_size=\"41934848\"] \n  4 -> 18 [size =\"41934848\"]\n  4 -> 19 [size =\"41934848\"]\n  4 -> 24 [size =\"41934848\"]\n  4 -> 27 [size =\"41934848\"]\n  4 -> 28 [size =\"41934848\"]\n  5 [size=\"88570880\", alpha=\"0.06\", expect_size=\"35428352\"] \n  5 -> 18 [size =\"35428352\"]\n  5 -> 19 [size =\"35428352\"]\n  5 -> 22 [size =\"35428352\"]\n  5 -> 23 [size =\"35428352\"]\n  5 -> 24 [size =\"35428352\"]\n  5 -> 25 [size =\"35428352\"]\n  5 -> 28 [size =\"35428352\"]\n  6 [size=\"30743040\", alpha=\"0.06\", expect_size=\"12297216\"] \n  6 -> 16 [size =\"12297216\"]\n  6 -> 17 [size =\"12297216\"]\n  6 -> 18 [size =\"12297216\"]\n  6 -> 20 [size =\"12297216\"]\n  6 -> 22 [size =\"12297216\"]\n  6 -> 28 [size =\"12297216\"]\n  6 -> 28 [size =\"12297216\"]\n  7 [size=\"75046400\", alpha=\"0.04\", expect_size=\"30018560\"] \n  7 -> 16 [size =\"30018560\"]\n  7 -> 18 [size =\"30018560\"]\n  7 -> 19 [size =\"30018560\"]\n  7 -> 20 [size =\"30018560\"]\n  7 -> 22 [size =\"30018560\"]\n  7 -> 27 [size =\"30018560\"]\n  7 -> 28 [size =\"30018560\"]\n  8 [size=\"29941760\", alpha=\"0.15\", expect_size=\"11976704\"] \n  8 -> 18 [size =\"11976704\"]\n  8 -> 19 [size =\"11976704\"]\n  8 -> 20 [size =\"11976704\"]\n  8 -> 20 [size =\"11976704\"]\n  8 -> 22 [size =\"11976704\"]\n  8 -> 23 [size =\"11976704\"]\n  8 -> 24 [size =\"11976704\"]\n  8 -> 26 [size =\"11976704\"]\n  8 -> 27 [size =\"11976704\"]\n  8 -> 28 [size =\"11976704\"]\n  9 [size=\"92661760\", alpha=\"0.06\", expect_size=\"37064704\"] \n  9 -> 16 [size =\"37064704\"]\n  9 -> 18 [size =\"37064704\"]\n  9 -> 19 [size =\"37064704\"]\n  9 -> 20 [size =\"37064704\"]\n  9 -> 21 [size =\"37064704\"]\n  9 -> 22 [size =\"37064704\"]\n  9 -> 27 [size =\"37064704\"]\n  9 -> 28 [size =\"37064704\"]\n  10 [size=\"65489920\", alpha=\"0.18\", expect_size=\"26195968\"] \n  10 -> 16 [size =\"26195968\"]\n  10 -> 18 [size =\"26195968\"]\n  10 -> 19 [size =\"26195968\"]\n  10 -> 22 [size =\"26195968\"]\n  10 -> 23 [size =\"26195968\"]\n  11 [size=\"59806720\", alpha=\"0.07\", expect_size=\"23922688\"] \n  11 -> 16 [size =\"23922688\"]\n  11 -> 19 [size =\"23922688\"]\n  11 -> 19 [size =\"23922688\"]\n  11 -> 21 [size =\"23922688\"]\n  12 [size=\"121815040\", alpha=\"0.08\", expect_size=\"48726016\"] \n  12 -> 16 [size =\"48726016\"]\n  12 -> 19 [size =\"48726016\"]\n  12 -> 22 [size =\"48726016\"]\n  12 -> 25 [size =\"48726016\"]\n  12 -> 28 [size =\"48726016\"]\n  13 [size=\"50147840\", alpha=\"0.15\", expect_size=\"20059136\"] \n  13 -> 16 [size =\"20059136\"]\n  13 -> 19 [size =\"20059136\"]\n  13 -> 20 [size =\"20059136\"]\n  13 -> 23 [size =\"20059136\"]\n  13 -> 25 [size =\"20059136\"]\n  13 -> 27 [size =\"20059136\"]\n  13 -> 28 [size =\"20059136\"]\n  14 [size=\"38440960\", alpha=\"0.06\", expect_size=\"15376384\"] \n  14 -> 16 [size =\"15376384\"]\n  14 -> 18 [size =\"15376384\"]\n  14 -> 19 [size =\"15376384\"]\n  14 -> 23 [size =\"15376384\"]\n  14 -> 28 [size =\"15376384\"]\n  15 [size=\"47546880\", alpha=\"0.14\", expect_size=\"19018752\"] \n  15 -> 16 [size =\"19018752\"]\n  15 -> 20 [size =\"19018752\"]\n  15 -> 22 [size =\"19018752\"]\n  15 -> 23 [size =\"19018752\"]\n  15 -> 24 [size =\"19018752\"]\n  16 [size=\"82987520\", alpha=\"0.03\", expect_size=\"33195008\"] \n  16 -> 33 [size =\"33195008\"]\n  16 -> 35 [size =\"33195008\"]\n  16 -> 36 [size =\"33195008\"]\n  16 -> 38 [size =\"33195008\"]\n  16 -> 40 [size =\"33195008\"]\n  17 [size=\"119861760\", alpha=\"0.04\", expect_size=\"47944704\"] \n  17 -> 31 [size =\"47944704\"]\n  17 -> 35 [size =\"47944704\"]\n  17 -> 36 [size =\"47944704\"]\n  17 -> 38 [size =\"47944704\"]\n  17 -> 40 [size =\"47944704\"]\n  18 [size=\"26042880\", alpha=\"0.19\", expect_size=\"10417152\"] \n  18 -> 31 [size =\"10417152\"]\n  18 -> 35 [size =\"10417152\"]\n  18 -> 38 [size =\"10417152\"]\n  18 -> 39 [size =\"10417152\"]\n  19 [size=\"114752000\", alpha=\"0.14\", expect_size=\"45900800\"] \n  19 -> 32 [size =\"45900800\"]\n  19 -> 35 [size =\"45900800\"]\n  19 -> 36 [size =\"45900800\"]\n  19 -> 40 [size =\"45900800\"]\n  20 [size=\"34688000\", alpha=\"0.06\", expect_size=\"13875200\"] \n  20 -> 31 [size =\"13875200\"]\n  20 -> 32 [size =\"13875200\"]\n  20 -> 35 [size =\"13875200\"]\n  20 -> 36 [size =\"13875200\"]\n  20 -> 38 [size =\"13875200\"]\n  21 [size=\"20956160\", alpha=\"0.15\", expect_size=\"8382464\"] \n  21 -> 29 [size =\"8382464\"]\n  21 -> 33 [size =\"8382464\"]\n  21 -> 35 [size =\"8382464\"]\n  21 -> 36 [size =\"8382464\"]\n  22 [size=\"61719040\", alpha=\"0.16\", expect_size=\"24687616\"] \n  22 -> 32 [size =\"24687616\"]\n  22 -> 35 [size =\"24687616\"]\n  22 -> 35 [size =\"24687616\"]\n  23 [size=\"108277760\", alpha=\"0.05\", expect_size=\"43311104\"] \n  23 -> 30 [size =\"43311104\"]\n  23 -> 33 [size =\"43311104\"]\n  23 -> 34 [size =\"43311104\"]\n  23 -> 35 [size =\"43311104\"]\n  23 -> 36 [size =\"43311104\"]\n  23 -> 38 [size =\"43311104\"]\n  23 -> 40 [size =\"43311104\"]\n  24 [size=\"78540800\", alpha=\"0.10\", expect_size=\"31416320\"] \n  24 -> 29 [size =\"31416320\"]\n  24 -> 36 [size =\"31416320\"]\n  24 -> 38 [size =\"31416320\"]\n  24 -> 40 [size =\"31416320\"]\n  25 [size=\"116303360\", alpha=\"0.07\", expect_size=\"46521344\"] \n  25 -> 30 [size =\"46521344\"]\n  25 -> 31 [size =\"46521344\"]\n  25 -> 33 [size =\"46521344\"]\n  25 -> 36 [size =\"46521344\"]\n  25 -> 38 [size =\"46521344\"]\n  25 -> 40 [size =\"46521344\"]\n  26 [size=\"81479680\", alpha=\"0.07\", expect_size=\"32591872\"] \n  26 -> 31 [size =\"32591872\"]\n  26 -> 32 [size =\"32591872\"]\n  26 -> 33 [size =\"32591872\"]\n  26 -> 36 [size =\"32591872\"]\n  26 -> 37 [size =\"32591872\"]\n  26 -> 38 [size =\"32591872\"]\n  26 -> 40 [size =\"32591872\"]\n  27 [size=\"97495040\", alpha=\"0.18\", expect_size=\"38998016\"] \n  27 -> 31 [size =\"38998016\"]\n  27 -> 32 [size =\"38998016\"]\n  27 -> 35 [size =\"38998016\"]\n  27 -> 36 [size =\"38998016\"]\n  27 -> 37 [size =\"38998016\"]\n  27 -> 38 [size =\"38998016\"]\n  27 -> 40 [size =\"38998016\"]\n  28 [size=\"123909120\", alpha=\"0.12\", expect_size=\"49563648\"] \n  28 -> 32 [size =\"49563648\"]\n  28 -> 33 [size =\"49563648\"]\n  28 -> 34 [size =\"49563648\"]\n  28 -> 35 [size =\"49563648\"]\n  28 -> 36 [size =\"49563648\"]\n  28 -> 37 [size =\"49563648\"]\n  28 -> 38 [size =\"49563648\"]\n  28 -> 40 [size =\"49563648\"]\n  29 [size=\"115215360\", alpha=\"0.19\", expect_size=\"46086144\"] \n  30 [size=\"79329280\", alpha=\"0.15\", expect_size=\"31731712\"] \n  31 [size=\"116026880\", alpha=\"0.19\", expect_size=\"46410752\"] \n  32 [size=\"89011200\", alpha=\"0.01\", expect_size=\"35604480\"] \n  33 [size=\"67015680\", alpha=\"0.10\", expect_size=\"26806272\"] \n  34 [size=\"97937920\", alpha=\"0.03\", expect_size=\"39175168\"] \n  35 [size=\"37585920\", alpha=\"0.02\", expect_size=\"15034368\"] \n  36 [size=\"79388160\", alpha=\"0.12\", expect_size=\"31755264\"] \n  37 [size=\"123013120\", alpha=\"0.01\", expect_size=\"49205248\"] \n  38 [size=\"112437760\", alpha=\"0.12\", expect_size=\"44975104\"] \n  39 [size=\"64496640\", alpha=\"0.00\", expect_size=\"25798656\"] \n  40 [size=\"58749440\", alpha=\"0.12\", expect_size=\"23499776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58127360\", alpha=\"0.19\", expect_size=\"23250944\"] \n  1 -> 14 [size =\"23250944\"]\n  1 -> 17 [size =\"23250944\"]\n  1 -> 20 [size =\"23250944\"]\n  1 -> 21 [size =\"23250944\"]\n  1 -> 24 [size =\"23250944\"]\n  2 [size=\"107632640\", alpha=\"0.06\", expect_size=\"43053056\"] \n  2 -> 14 [size =\"43053056\"]\n  2 -> 18 [size =\"43053056\"]\n  2 -> 20 [size =\"43053056\"]\n  2 -> 21 [size =\"43053056\"]\n  2 -> 24 [size =\"43053056\"]\n  2 -> 25 [size =\"43053056\"]\n  3 [size=\"66071040\", alpha=\"0.12\", expect_size=\"26428416\"] \n  3 -> 13 [size =\"26428416\"]\n  3 -> 16 [size =\"26428416\"]\n  3 -> 24 [size =\"26428416\"]\n  4 [size=\"78853120\", alpha=\"0.02\", expect_size=\"31541248\"] \n  4 -> 11 [size =\"31541248\"]\n  4 -> 13 [size =\"31541248\"]\n  4 -> 15 [size =\"31541248\"]\n  5 [size=\"69803520\", alpha=\"0.11\", expect_size=\"27921408\"] \n  5 -> 11 [size =\"27921408\"]\n  5 -> 17 [size =\"27921408\"]\n  5 -> 23 [size =\"27921408\"]\n  5 -> 25 [size =\"27921408\"]\n  6 [size=\"128857600\", alpha=\"0.02\", expect_size=\"51543040\"] \n  6 -> 11 [size =\"51543040\"]\n  6 -> 14 [size =\"51543040\"]\n  6 -> 17 [size =\"51543040\"]\n  6 -> 19 [size =\"51543040\"]\n  6 -> 22 [size =\"51543040\"]\n  7 [size=\"48386560\", alpha=\"0.10\", expect_size=\"19354624\"] \n  7 -> 11 [size =\"19354624\"]\n  7 -> 14 [size =\"19354624\"]\n  7 -> 19 [size =\"19354624\"]\n  7 -> 20 [size =\"19354624\"]\n  8 [size=\"39311360\", alpha=\"0.03\", expect_size=\"15724544\"] \n  8 -> 12 [size =\"15724544\"]\n  8 -> 15 [size =\"15724544\"]\n  8 -> 17 [size =\"15724544\"]\n  9 [size=\"36651520\", alpha=\"0.09\", expect_size=\"14660608\"] \n  9 -> 11 [size =\"14660608\"]\n  9 -> 14 [size =\"14660608\"]\n  9 -> 15 [size =\"14660608\"]\n  9 -> 17 [size =\"14660608\"]\n  9 -> 20 [size =\"14660608\"]\n  9 -> 22 [size =\"14660608\"]\n  10 [size=\"64647680\", alpha=\"0.12\", expect_size=\"25859072\"] \n  10 -> 14 [size =\"25859072\"]\n  10 -> 17 [size =\"25859072\"]\n  10 -> 19 [size =\"25859072\"]\n  10 -> 20 [size =\"25859072\"]\n  10 -> 21 [size =\"25859072\"]\n  10 -> 22 [size =\"25859072\"]\n  11 [size=\"89845760\", alpha=\"0.07\", expect_size=\"35938304\"] \n  11 -> 26 [size =\"35938304\"]\n  11 -> 31 [size =\"35938304\"]\n  11 -> 32 [size =\"35938304\"]\n  12 [size=\"85524480\", alpha=\"0.05\", expect_size=\"34209792\"] \n  13 [size=\"118000640\", alpha=\"0.05\", expect_size=\"47200256\"] \n  13 -> 27 [size =\"47200256\"]\n  13 -> 30 [size =\"47200256\"]\n  14 [size=\"73646080\", alpha=\"0.12\", expect_size=\"29458432\"] \n  14 -> 26 [size =\"29458432\"]\n  14 -> 27 [size =\"29458432\"]\n  14 -> 28 [size =\"29458432\"]\n  14 -> 33 [size =\"29458432\"]\n  15 [size=\"85089280\", alpha=\"0.09\", expect_size=\"34035712\"] \n  15 -> 28 [size =\"34035712\"]\n  15 -> 29 [size =\"34035712\"]\n  15 -> 32 [size =\"34035712\"]\n  16 [size=\"32066560\", alpha=\"0.06\", expect_size=\"12826624\"] \n  16 -> 26 [size =\"12826624\"]\n  16 -> 28 [size =\"12826624\"]\n  16 -> 33 [size =\"12826624\"]\n  17 [size=\"45693440\", alpha=\"0.12\", expect_size=\"18277376\"] \n  17 -> 26 [size =\"18277376\"]\n  17 -> 28 [size =\"18277376\"]\n  17 -> 29 [size =\"18277376\"]\n  17 -> 32 [size =\"18277376\"]\n  17 -> 34 [size =\"18277376\"]\n  18 [size=\"105331200\", alpha=\"0.17\", expect_size=\"42132480\"] \n  18 -> 26 [size =\"42132480\"]\n  18 -> 27 [size =\"42132480\"]\n  18 -> 30 [size =\"42132480\"]\n  18 -> 35 [size =\"42132480\"]\n  19 [size=\"125949440\", alpha=\"0.10\", expect_size=\"50379776\"] \n  19 -> 26 [size =\"50379776\"]\n  19 -> 28 [size =\"50379776\"]\n  19 -> 29 [size =\"50379776\"]\n  19 -> 31 [size =\"50379776\"]\n  19 -> 32 [size =\"50379776\"]\n  19 -> 33 [size =\"50379776\"]\n  20 [size=\"62878720\", alpha=\"0.00\", expect_size=\"25151488\"] \n  20 -> 27 [size =\"25151488\"]\n  20 -> 29 [size =\"25151488\"]\n  20 -> 29 [size =\"25151488\"]\n  20 -> 31 [size =\"25151488\"]\n  20 -> 32 [size =\"25151488\"]\n  20 -> 33 [size =\"25151488\"]\n  21 [size=\"18068480\", alpha=\"0.18\", expect_size=\"7227392\"] \n  21 -> 27 [size =\"7227392\"]\n  21 -> 28 [size =\"7227392\"]\n  22 [size=\"57210880\", alpha=\"0.12\", expect_size=\"22884352\"] \n  22 -> 27 [size =\"22884352\"]\n  22 -> 28 [size =\"22884352\"]\n  22 -> 29 [size =\"22884352\"]\n  22 -> 32 [size =\"22884352\"]\n  22 -> 33 [size =\"22884352\"]\n  22 -> 34 [size =\"22884352\"]\n  23 [size=\"88870400\", alpha=\"0.16\", expect_size=\"35548160\"] \n  23 -> 28 [size =\"35548160\"]\n  23 -> 29 [size =\"35548160\"]\n  23 -> 31 [size =\"35548160\"]\n  23 -> 33 [size =\"35548160\"]\n  23 -> 34 [size =\"35548160\"]\n  24 [size=\"119357440\", alpha=\"0.10\", expect_size=\"47742976\"] \n  24 -> 27 [size =\"47742976\"]\n  24 -> 28 [size =\"47742976\"]\n  24 -> 31 [size =\"47742976\"]\n  24 -> 32 [size =\"47742976\"]\n  24 -> 33 [size =\"47742976\"]\n  24 -> 34 [size =\"47742976\"]\n  25 [size=\"73538560\", alpha=\"0.14\", expect_size=\"29415424\"] \n  25 -> 31 [size =\"29415424\"]\n  26 [size=\"127354880\", alpha=\"0.17\", expect_size=\"50941952\"] \n  26 -> 36 [size =\"50941952\"]\n  26 -> 38 [size =\"50941952\"]\n  26 -> 40 [size =\"50941952\"]\n  27 [size=\"42378240\", alpha=\"0.07\", expect_size=\"16951296\"] \n  27 -> 38 [size =\"16951296\"]\n  28 [size=\"113354240\", alpha=\"0.01\", expect_size=\"45341696\"] \n  28 -> 37 [size =\"45341696\"]\n  28 -> 39 [size =\"45341696\"]\n  28 -> 40 [size =\"45341696\"]\n  29 [size=\"94842880\", alpha=\"0.19\", expect_size=\"37937152\"] \n  29 -> 36 [size =\"37937152\"]\n  29 -> 37 [size =\"37937152\"]\n  30 [size=\"34101760\", alpha=\"0.05\", expect_size=\"13640704\"] \n  31 [size=\"35159040\", alpha=\"0.05\", expect_size=\"14063616\"] \n  31 -> 40 [size =\"14063616\"]\n  32 [size=\"25075200\", alpha=\"0.17\", expect_size=\"10030080\"] \n  32 -> 36 [size =\"10030080\"]\n  32 -> 37 [size =\"10030080\"]\n  32 -> 38 [size =\"10030080\"]\n  33 [size=\"98375680\", alpha=\"0.07\", expect_size=\"39350272\"] \n  33 -> 36 [size =\"39350272\"]\n  33 -> 37 [size =\"39350272\"]\n  34 [size=\"72094720\", alpha=\"0.07\", expect_size=\"28837888\"] \n  34 -> 36 [size =\"28837888\"]\n  34 -> 40 [size =\"28837888\"]\n  35 [size=\"129948160\", alpha=\"0.19\", expect_size=\"51979264\"] \n  35 -> 36 [size =\"51979264\"]\n  35 -> 37 [size =\"51979264\"]\n  35 -> 40 [size =\"51979264\"]\n  36 [size=\"92700160\", alpha=\"0.14\", expect_size=\"37080064\"] \n  37 [size=\"76101120\", alpha=\"0.15\", expect_size=\"30440448\"] \n  38 [size=\"115432960\", alpha=\"0.12\", expect_size=\"46173184\"] \n  39 [size=\"118937600\", alpha=\"0.07\", expect_size=\"47575040\"] \n  40 [size=\"110156800\", alpha=\"0.11\", expect_size=\"44062720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12756992\", alpha=\"0.08\", expect_size=\"6378496\"] \n  1 -> 3 [size =\"6378496\"]\n  1 -> 4 [size =\"6378496\"]\n  2 [size=\"99842048\", alpha=\"0.10\", expect_size=\"49921024\"] \n  2 -> 3 [size =\"49921024\"]\n  2 -> 4 [size =\"49921024\"]\n  3 [size=\"79988736\", alpha=\"0.12\", expect_size=\"39994368\"] \n  3 -> 5 [size =\"39994368\"]\n  3 -> 6 [size =\"39994368\"]\n  4 [size=\"103012352\", alpha=\"0.14\", expect_size=\"51506176\"] \n  4 -> 5 [size =\"51506176\"]\n  4 -> 6 [size =\"51506176\"]\n  5 [size=\"65732608\", alpha=\"0.16\", expect_size=\"32866304\"] \n  5 -> 7 [size =\"32866304\"]\n  5 -> 8 [size =\"32866304\"]\n  5 -> 9 [size =\"32866304\"]\n  5 -> 10 [size =\"32866304\"]\n  6 [size=\"78598144\", alpha=\"0.00\", expect_size=\"39299072\"] \n  6 -> 7 [size =\"39299072\"]\n  6 -> 8 [size =\"39299072\"]\n  6 -> 9 [size =\"39299072\"]\n  6 -> 10 [size =\"39299072\"]\n  7 [size=\"103682048\", alpha=\"0.05\", expect_size=\"51841024\"] \n  7 -> 11 [size =\"51841024\"]\n  8 [size=\"24432640\", alpha=\"0.03\", expect_size=\"12216320\"] \n  8 -> 12 [size =\"12216320\"]\n  9 [size=\"76888064\", alpha=\"0.13\", expect_size=\"38444032\"] \n  9 -> 11 [size =\"38444032\"]\n  9 -> 12 [size =\"38444032\"]\n  10 [size=\"60262400\", alpha=\"0.16\", expect_size=\"30131200\"] \n  10 -> 11 [size =\"30131200\"]\n  11 [size=\"45938688\", alpha=\"0.03\", expect_size=\"22969344\"] \n  11 -> 13 [size =\"22969344\"]\n  12 [size=\"82483200\", alpha=\"0.09\", expect_size=\"41241600\"] \n  12 -> 13 [size =\"41241600\"]\n  13 [size=\"33863680\", alpha=\"0.14\", expect_size=\"16931840\"] \n  13 -> 14 [size =\"16931840\"]\n  13 -> 15 [size =\"16931840\"]\n  13 -> 16 [size =\"16931840\"]\n  14 [size=\"88956928\", alpha=\"0.08\", expect_size=\"44478464\"] \n  14 -> 18 [size =\"44478464\"]\n  14 -> 19 [size =\"44478464\"]\n  14 -> 20 [size =\"44478464\"]\n  15 [size=\"59119616\", alpha=\"0.06\", expect_size=\"29559808\"] \n  15 -> 17 [size =\"29559808\"]\n  15 -> 19 [size =\"29559808\"]\n  16 [size=\"39899136\", alpha=\"0.13\", expect_size=\"19949568\"] \n  16 -> 19 [size =\"19949568\"]\n  16 -> 20 [size =\"19949568\"]\n  17 [size=\"40716288\", alpha=\"0.17\", expect_size=\"20358144\"] \n  17 -> 21 [size =\"20358144\"]\n  17 -> 22 [size =\"20358144\"]\n  17 -> 23 [size =\"20358144\"]\n  18 [size=\"65560576\", alpha=\"0.15\", expect_size=\"32780288\"] \n  18 -> 21 [size =\"32780288\"]\n  18 -> 23 [size =\"32780288\"]\n  18 -> 23 [size =\"32780288\"]\n  19 [size=\"80672768\", alpha=\"0.12\", expect_size=\"40336384\"] \n  20 [size=\"46163968\", alpha=\"0.18\", expect_size=\"23081984\"] \n  20 -> 21 [size =\"23081984\"]\n  20 -> 22 [size =\"23081984\"]\n  20 -> 23 [size =\"23081984\"]\n  21 [size=\"27510784\", alpha=\"0.04\", expect_size=\"13755392\"] \n  21 -> 24 [size =\"13755392\"]\n  21 -> 25 [size =\"13755392\"]\n  21 -> 26 [size =\"13755392\"]\n  21 -> 27 [size =\"13755392\"]\n  22 [size=\"42074112\", alpha=\"0.09\", expect_size=\"21037056\"] \n  22 -> 24 [size =\"21037056\"]\n  22 -> 25 [size =\"21037056\"]\n  22 -> 26 [size =\"21037056\"]\n  22 -> 27 [size =\"21037056\"]\n  23 [size=\"86294528\", alpha=\"0.09\", expect_size=\"43147264\"] \n  23 -> 24 [size =\"43147264\"]\n  23 -> 25 [size =\"43147264\"]\n  23 -> 26 [size =\"43147264\"]\n  23 -> 27 [size =\"43147264\"]\n  24 [size=\"56475648\", alpha=\"0.08\", expect_size=\"28237824\"] \n  25 [size=\"92076032\", alpha=\"0.19\", expect_size=\"46038016\"] \n  25 -> 28 [size =\"46038016\"]\n  26 [size=\"23791616\", alpha=\"0.05\", expect_size=\"11895808\"] \n  26 -> 29 [size =\"11895808\"]\n  27 [size=\"83456000\", alpha=\"0.10\", expect_size=\"41728000\"] \n  28 [size=\"68818944\", alpha=\"0.19\", expect_size=\"34409472\"] \n  28 -> 31 [size =\"34409472\"]\n  28 -> 32 [size =\"34409472\"]\n  29 [size=\"44931072\", alpha=\"0.01\", expect_size=\"22465536\"] \n  29 -> 30 [size =\"22465536\"]\n  29 -> 31 [size =\"22465536\"]\n  30 [size=\"101404672\", alpha=\"0.14\", expect_size=\"50702336\"] \n  30 -> 33 [size =\"50702336\"]\n  30 -> 34 [size =\"50702336\"]\n  31 [size=\"90339328\", alpha=\"0.14\", expect_size=\"45169664\"] \n  31 -> 33 [size =\"45169664\"]\n  31 -> 34 [size =\"45169664\"]\n  32 [size=\"14006272\", alpha=\"0.10\", expect_size=\"7003136\"] \n  32 -> 33 [size =\"7003136\"]\n  32 -> 34 [size =\"7003136\"]\n  33 [size=\"56135680\", alpha=\"0.11\", expect_size=\"28067840\"] \n  33 -> 35 [size =\"28067840\"]\n  33 -> 36 [size =\"28067840\"]\n  34 [size=\"97486848\", alpha=\"0.08\", expect_size=\"48743424\"] \n  34 -> 35 [size =\"48743424\"]\n  34 -> 36 [size =\"48743424\"]\n  35 [size=\"41846784\", alpha=\"0.15\", expect_size=\"20923392\"] \n  35 -> 37 [size =\"20923392\"]\n  35 -> 38 [size =\"20923392\"]\n  35 -> 39 [size =\"20923392\"]\n  35 -> 40 [size =\"20923392\"]\n  36 [size=\"38830080\", alpha=\"0.09\", expect_size=\"19415040\"] \n  36 -> 37 [size =\"19415040\"]\n  36 -> 38 [size =\"19415040\"]\n  36 -> 40 [size =\"19415040\"]\n  37 [size=\"62181376\", alpha=\"0.10\", expect_size=\"31090688\"] \n  38 [size=\"16355328\", alpha=\"0.01\", expect_size=\"8177664\"] \n  39 [size=\"104040448\", alpha=\"0.08\", expect_size=\"52020224\"] \n  40 [size=\"14155776\", alpha=\"0.03\", expect_size=\"7077888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32117760\", alpha=\"0.20\", expect_size=\"12847104\"] \n  1 -> 10 [size =\"12847104\"]\n  2 [size=\"88721920\", alpha=\"0.15\", expect_size=\"35488768\"] \n  2 -> 8 [size =\"35488768\"]\n  2 -> 9 [size =\"35488768\"]\n  2 -> 11 [size =\"35488768\"]\n  3 [size=\"110284800\", alpha=\"0.04\", expect_size=\"44113920\"] \n  3 -> 9 [size =\"44113920\"]\n  4 [size=\"61107200\", alpha=\"0.13\", expect_size=\"24442880\"] \n  4 -> 7 [size =\"24442880\"]\n  4 -> 11 [size =\"24442880\"]\n  4 -> 12 [size =\"24442880\"]\n  5 [size=\"27179520\", alpha=\"0.12\", expect_size=\"10871808\"] \n  5 -> 10 [size =\"10871808\"]\n  5 -> 11 [size =\"10871808\"]\n  5 -> 12 [size =\"10871808\"]\n  6 [size=\"109160960\", alpha=\"0.13\", expect_size=\"43664384\"] \n  6 -> 8 [size =\"43664384\"]\n  6 -> 10 [size =\"43664384\"]\n  7 [size=\"82680320\", alpha=\"0.01\", expect_size=\"33072128\"] \n  7 -> 15 [size =\"33072128\"]\n  7 -> 19 [size =\"33072128\"]\n  8 [size=\"61283840\", alpha=\"0.15\", expect_size=\"24513536\"] \n  8 -> 16 [size =\"24513536\"]\n  8 -> 18 [size =\"24513536\"]\n  9 [size=\"124526080\", alpha=\"0.05\", expect_size=\"49810432\"] \n  9 -> 14 [size =\"49810432\"]\n  9 -> 15 [size =\"49810432\"]\n  9 -> 18 [size =\"49810432\"]\n  10 [size=\"20705280\", alpha=\"0.13\", expect_size=\"8282112\"] \n  10 -> 13 [size =\"8282112\"]\n  10 -> 18 [size =\"8282112\"]\n  10 -> 19 [size =\"8282112\"]\n  11 [size=\"77770240\", alpha=\"0.05\", expect_size=\"31108096\"] \n  11 -> 13 [size =\"31108096\"]\n  11 -> 15 [size =\"31108096\"]\n  11 -> 16 [size =\"31108096\"]\n  11 -> 17 [size =\"31108096\"]\n  11 -> 19 [size =\"31108096\"]\n  12 [size=\"76518400\", alpha=\"0.20\", expect_size=\"30607360\"] \n  12 -> 14 [size =\"30607360\"]\n  12 -> 16 [size =\"30607360\"]\n  13 [size=\"49052160\", alpha=\"0.08\", expect_size=\"19620864\"] \n  13 -> 20 [size =\"19620864\"]\n  14 [size=\"73817600\", alpha=\"0.15\", expect_size=\"29527040\"] \n  14 -> 22 [size =\"29527040\"]\n  15 [size=\"30369280\", alpha=\"0.02\", expect_size=\"12147712\"] \n  15 -> 20 [size =\"12147712\"]\n  16 [size=\"102745600\", alpha=\"0.10\", expect_size=\"41098240\"] \n  16 -> 20 [size =\"41098240\"]\n  16 -> 21 [size =\"41098240\"]\n  16 -> 22 [size =\"41098240\"]\n  17 [size=\"60595200\", alpha=\"0.19\", expect_size=\"24238080\"] \n  17 -> 21 [size =\"24238080\"]\n  17 -> 22 [size =\"24238080\"]\n  17 -> 22 [size =\"24238080\"]\n  17 -> 23 [size =\"24238080\"]\n  17 -> 24 [size =\"24238080\"]\n  18 [size=\"69217280\", alpha=\"0.18\", expect_size=\"27686912\"] \n  18 -> 22 [size =\"27686912\"]\n  19 [size=\"38996480\", alpha=\"0.14\", expect_size=\"15598592\"] \n  19 -> 23 [size =\"15598592\"]\n  20 [size=\"67036160\", alpha=\"0.12\", expect_size=\"26814464\"] \n  20 -> 25 [size =\"26814464\"]\n  20 -> 26 [size =\"26814464\"]\n  20 -> 28 [size =\"26814464\"]\n  21 [size=\"25159680\", alpha=\"0.13\", expect_size=\"10063872\"] \n  21 -> 26 [size =\"10063872\"]\n  21 -> 27 [size =\"10063872\"]\n  21 -> 28 [size =\"10063872\"]\n  22 [size=\"55695360\", alpha=\"0.07\", expect_size=\"22278144\"] \n  23 [size=\"54289920\", alpha=\"0.18\", expect_size=\"21715968\"] \n  23 -> 27 [size =\"21715968\"]\n  23 -> 28 [size =\"21715968\"]\n  24 [size=\"104286720\", alpha=\"0.16\", expect_size=\"41714688\"] \n  24 -> 26 [size =\"41714688\"]\n  24 -> 27 [size =\"41714688\"]\n  25 [size=\"74544640\", alpha=\"0.17\", expect_size=\"29817856\"] \n  25 -> 30 [size =\"29817856\"]\n  25 -> 31 [size =\"29817856\"]\n  26 [size=\"84165120\", alpha=\"0.15\", expect_size=\"33666048\"] \n  26 -> 29 [size =\"33666048\"]\n  26 -> 31 [size =\"33666048\"]\n  26 -> 32 [size =\"33666048\"]\n  27 [size=\"26073600\", alpha=\"0.04\", expect_size=\"10429440\"] \n  27 -> 30 [size =\"10429440\"]\n  27 -> 32 [size =\"10429440\"]\n  28 [size=\"22231040\", alpha=\"0.01\", expect_size=\"8892416\"] \n  28 -> 30 [size =\"8892416\"]\n  28 -> 32 [size =\"8892416\"]\n  29 [size=\"128540160\", alpha=\"0.17\", expect_size=\"51416064\"] \n  29 -> 35 [size =\"51416064\"]\n  30 [size=\"93381120\", alpha=\"0.14\", expect_size=\"37352448\"] \n  30 -> 34 [size =\"37352448\"]\n  30 -> 35 [size =\"37352448\"]\n  30 -> 37 [size =\"37352448\"]\n  31 [size=\"46159360\", alpha=\"0.03\", expect_size=\"18463744\"] \n  31 -> 33 [size =\"18463744\"]\n  32 [size=\"123855360\", alpha=\"0.02\", expect_size=\"49542144\"] \n  32 -> 33 [size =\"49542144\"]\n  32 -> 36 [size =\"49542144\"]\n  33 [size=\"48189440\", alpha=\"0.07\", expect_size=\"19275776\"] \n  33 -> 38 [size =\"19275776\"]\n  34 [size=\"34304000\", alpha=\"0.03\", expect_size=\"13721600\"] \n  34 -> 38 [size =\"13721600\"]\n  34 -> 39 [size =\"13721600\"]\n  35 [size=\"130199040\", alpha=\"0.01\", expect_size=\"52079616\"] \n  35 -> 40 [size =\"52079616\"]\n  36 [size=\"114022400\", alpha=\"0.15\", expect_size=\"45608960\"] \n  36 -> 38 [size =\"45608960\"]\n  37 [size=\"81825280\", alpha=\"0.17\", expect_size=\"32730112\"] \n  37 -> 38 [size =\"32730112\"]\n  38 [size=\"103183360\", alpha=\"0.08\", expect_size=\"41273344\"] \n  39 [size=\"108308480\", alpha=\"0.03\", expect_size=\"43323392\"] \n  40 [size=\"90657280\", alpha=\"0.08\", expect_size=\"36262912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138540373\", alpha=\"0.00\", expect_size=\"41562112\"] \n  1 -> 6 [size =\"41562112\"]\n  1 -> 7 [size =\"41562112\"]\n  1 -> 8 [size =\"41562112\"]\n  2 [size=\"90112000\", alpha=\"0.07\", expect_size=\"27033600\"] \n  2 -> 6 [size =\"27033600\"]\n  2 -> 10 [size =\"27033600\"]\n  3 [size=\"65191253\", alpha=\"0.01\", expect_size=\"19557376\"] \n  4 [size=\"85271893\", alpha=\"0.19\", expect_size=\"25581568\"] \n  4 -> 7 [size =\"25581568\"]\n  4 -> 9 [size =\"25581568\"]\n  4 -> 10 [size =\"25581568\"]\n  5 [size=\"58166613\", alpha=\"0.10\", expect_size=\"17449984\"] \n  5 -> 7 [size =\"17449984\"]\n  6 [size=\"25357653\", alpha=\"0.02\", expect_size=\"7607296\"] \n  6 -> 11 [size =\"7607296\"]\n  6 -> 12 [size =\"7607296\"]\n  6 -> 14 [size =\"7607296\"]\n  7 [size=\"17745920\", alpha=\"0.05\", expect_size=\"5323776\"] \n  8 [size=\"21729280\", alpha=\"0.13\", expect_size=\"6518784\"] \n  8 -> 11 [size =\"6518784\"]\n  8 -> 15 [size =\"6518784\"]\n  9 [size=\"78448640\", alpha=\"0.05\", expect_size=\"23534592\"] \n  9 -> 13 [size =\"23534592\"]\n  9 -> 14 [size =\"23534592\"]\n  9 -> 16 [size =\"23534592\"]\n  10 [size=\"154903893\", alpha=\"0.18\", expect_size=\"46471168\"] \n  10 -> 11 [size =\"46471168\"]\n  10 -> 12 [size =\"46471168\"]\n  10 -> 13 [size =\"46471168\"]\n  10 -> 14 [size =\"46471168\"]\n  11 [size=\"87534933\", alpha=\"0.04\", expect_size=\"26260480\"] \n  11 -> 20 [size =\"26260480\"]\n  11 -> 22 [size =\"26260480\"]\n  12 [size=\"88466773\", alpha=\"0.14\", expect_size=\"26540032\"] \n  12 -> 18 [size =\"26540032\"]\n  12 -> 19 [size =\"26540032\"]\n  12 -> 20 [size =\"26540032\"]\n  12 -> 21 [size =\"26540032\"]\n  13 [size=\"146353493\", alpha=\"0.11\", expect_size=\"43906048\"] \n  13 -> 17 [size =\"43906048\"]\n  13 -> 19 [size =\"43906048\"]\n  14 [size=\"157395627\", alpha=\"0.16\", expect_size=\"47218688\"] \n  14 -> 17 [size =\"47218688\"]\n  14 -> 18 [size =\"47218688\"]\n  15 [size=\"149858987\", alpha=\"0.04\", expect_size=\"44957696\"] \n  16 [size=\"73663147\", alpha=\"0.12\", expect_size=\"22098944\"] \n  16 -> 19 [size =\"22098944\"]\n  17 [size=\"88968533\", alpha=\"0.09\", expect_size=\"26690560\"] \n  17 -> 23 [size =\"26690560\"]\n  17 -> 26 [size =\"26690560\"]\n  18 [size=\"128866987\", alpha=\"0.02\", expect_size=\"38660096\"] \n  19 [size=\"72331947\", alpha=\"0.15\", expect_size=\"21699584\"] \n  19 -> 23 [size =\"21699584\"]\n  19 -> 27 [size =\"21699584\"]\n  20 [size=\"115418453\", alpha=\"0.18\", expect_size=\"34625536\"] \n  20 -> 23 [size =\"34625536\"]\n  20 -> 24 [size =\"34625536\"]\n  20 -> 25 [size =\"34625536\"]\n  21 [size=\"100068693\", alpha=\"0.17\", expect_size=\"30020608\"] \n  22 [size=\"129088853\", alpha=\"0.05\", expect_size=\"38726656\"] \n  23 [size=\"84264960\", alpha=\"0.19\", expect_size=\"25279488\"] \n  23 -> 28 [size =\"25279488\"]\n  23 -> 33 [size =\"25279488\"]\n  24 [size=\"173649920\", alpha=\"0.02\", expect_size=\"52094976\"] \n  24 -> 33 [size =\"52094976\"]\n  25 [size=\"138526720\", alpha=\"0.09\", expect_size=\"41558016\"] \n  25 -> 28 [size =\"41558016\"]\n  26 [size=\"172540587\", alpha=\"0.18\", expect_size=\"51762176\"] \n  26 -> 30 [size =\"51762176\"]\n  26 -> 32 [size =\"51762176\"]\n  27 [size=\"109329067\", alpha=\"0.07\", expect_size=\"32798720\"] \n  27 -> 29 [size =\"32798720\"]\n  27 -> 30 [size =\"32798720\"]\n  27 -> 31 [size =\"32798720\"]\n  28 [size=\"21992107\", alpha=\"0.17\", expect_size=\"6597632\"] \n  28 -> 34 [size =\"6597632\"]\n  29 [size=\"38526293\", alpha=\"0.14\", expect_size=\"11557888\"] \n  29 -> 34 [size =\"11557888\"]\n  29 -> 36 [size =\"11557888\"]\n  29 -> 38 [size =\"11557888\"]\n  30 [size=\"154313387\", alpha=\"0.08\", expect_size=\"46294016\"] \n  30 -> 34 [size =\"46294016\"]\n  30 -> 39 [size =\"46294016\"]\n  31 [size=\"139202560\", alpha=\"0.12\", expect_size=\"41760768\"] \n  31 -> 37 [size =\"41760768\"]\n  32 [size=\"114251093\", alpha=\"0.05\", expect_size=\"34275328\"] \n  32 -> 37 [size =\"34275328\"]\n  33 [size=\"152101547\", alpha=\"0.14\", expect_size=\"45630464\"] \n  33 -> 35 [size =\"45630464\"]\n  33 -> 36 [size =\"45630464\"]\n  33 -> 38 [size =\"45630464\"]\n  34 [size=\"143182507\", alpha=\"0.00\", expect_size=\"42954752\"] \n  35 [size=\"155289600\", alpha=\"0.04\", expect_size=\"46586880\"] \n  36 [size=\"71830187\", alpha=\"0.15\", expect_size=\"21549056\"] \n  36 -> 40 [size =\"21549056\"]\n  37 [size=\"57975467\", alpha=\"0.14\", expect_size=\"17392640\"] \n  38 [size=\"113991680\", alpha=\"0.08\", expect_size=\"34197504\"] \n  39 [size=\"86852267\", alpha=\"0.09\", expect_size=\"26055680\"] \n  40 [size=\"37522773\", alpha=\"0.03\", expect_size=\"11256832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85889707\", alpha=\"0.12\", expect_size=\"25766912\"] \n  1 -> 3 [size =\"25766912\"]\n  1 -> 4 [size =\"25766912\"]\n  1 -> 5 [size =\"25766912\"]\n  2 [size=\"139779413\", alpha=\"0.01\", expect_size=\"41933824\"] \n  2 -> 3 [size =\"41933824\"]\n  2 -> 4 [size =\"41933824\"]\n  2 -> 5 [size =\"41933824\"]\n  3 [size=\"162703360\", alpha=\"0.07\", expect_size=\"48811008\"] \n  3 -> 6 [size =\"48811008\"]\n  3 -> 7 [size =\"48811008\"]\n  4 [size=\"26658133\", alpha=\"0.15\", expect_size=\"7997440\"] \n  4 -> 7 [size =\"7997440\"]\n  5 [size=\"86920533\", alpha=\"0.18\", expect_size=\"26076160\"] \n  5 -> 6 [size =\"26076160\"]\n  5 -> 8 [size =\"26076160\"]\n  6 [size=\"103266987\", alpha=\"0.09\", expect_size=\"30980096\"] \n  7 [size=\"67696640\", alpha=\"0.19\", expect_size=\"20308992\"] \n  7 -> 10 [size =\"20308992\"]\n  7 -> 11 [size =\"20308992\"]\n  8 [size=\"44216320\", alpha=\"0.07\", expect_size=\"13264896\"] \n  8 -> 9 [size =\"13264896\"]\n  8 -> 10 [size =\"13264896\"]\n  8 -> 11 [size =\"13264896\"]\n  9 [size=\"36608000\", alpha=\"0.02\", expect_size=\"10982400\"] \n  9 -> 12 [size =\"10982400\"]\n  9 -> 13 [size =\"10982400\"]\n  10 [size=\"89023147\", alpha=\"0.18\", expect_size=\"26706944\"] \n  10 -> 12 [size =\"26706944\"]\n  11 [size=\"53254827\", alpha=\"0.17\", expect_size=\"15976448\"] \n  11 -> 12 [size =\"15976448\"]\n  11 -> 13 [size =\"15976448\"]\n  12 [size=\"146817707\", alpha=\"0.15\", expect_size=\"44045312\"] \n  12 -> 14 [size =\"44045312\"]\n  12 -> 15 [size =\"44045312\"]\n  13 [size=\"154368000\", alpha=\"0.01\", expect_size=\"46310400\"] \n  13 -> 14 [size =\"46310400\"]\n  13 -> 15 [size =\"46310400\"]\n  14 [size=\"50711893\", alpha=\"0.20\", expect_size=\"15213568\"] \n  14 -> 16 [size =\"15213568\"]\n  14 -> 17 [size =\"15213568\"]\n  14 -> 18 [size =\"15213568\"]\n  15 [size=\"166696960\", alpha=\"0.03\", expect_size=\"50009088\"] \n  15 -> 16 [size =\"50009088\"]\n  15 -> 17 [size =\"50009088\"]\n  16 [size=\"149722453\", alpha=\"0.20\", expect_size=\"44916736\"] \n  17 [size=\"66020693\", alpha=\"0.04\", expect_size=\"19806208\"] \n  17 -> 19 [size =\"19806208\"]\n  18 [size=\"57524907\", alpha=\"0.11\", expect_size=\"17257472\"] \n  18 -> 19 [size =\"17257472\"]\n  18 -> 20 [size =\"17257472\"]\n  19 [size=\"108878507\", alpha=\"0.18\", expect_size=\"32663552\"] \n  19 -> 21 [size =\"32663552\"]\n  20 [size=\"126498133\", alpha=\"0.16\", expect_size=\"37949440\"] \n  20 -> 22 [size =\"37949440\"]\n  21 [size=\"110544213\", alpha=\"0.02\", expect_size=\"33163264\"] \n  21 -> 23 [size =\"33163264\"]\n  21 -> 24 [size =\"33163264\"]\n  21 -> 25 [size =\"33163264\"]\n  22 [size=\"88255147\", alpha=\"0.03\", expect_size=\"26476544\"] \n  22 -> 23 [size =\"26476544\"]\n  23 [size=\"50834773\", alpha=\"0.03\", expect_size=\"15250432\"] \n  24 [size=\"59494400\", alpha=\"0.04\", expect_size=\"17848320\"] \n  25 [size=\"55917227\", alpha=\"0.14\", expect_size=\"16775168\"] \n  25 -> 26 [size =\"16775168\"]\n  25 -> 27 [size =\"16775168\"]\n  26 [size=\"76905813\", alpha=\"0.15\", expect_size=\"23071744\"] \n  26 -> 28 [size =\"23071744\"]\n  26 -> 29 [size =\"23071744\"]\n  26 -> 30 [size =\"23071744\"]\n  27 [size=\"73274027\", alpha=\"0.02\", expect_size=\"21982208\"] \n  27 -> 28 [size =\"21982208\"]\n  27 -> 29 [size =\"21982208\"]\n  27 -> 30 [size =\"21982208\"]\n  28 [size=\"100843520\", alpha=\"0.13\", expect_size=\"30253056\"] \n  28 -> 31 [size =\"30253056\"]\n  29 [size=\"27900587\", alpha=\"0.06\", expect_size=\"8370176\"] \n  29 -> 31 [size =\"8370176\"]\n  30 [size=\"173100373\", alpha=\"0.08\", expect_size=\"51930112\"] \n  30 -> 32 [size =\"51930112\"]\n  31 [size=\"138960213\", alpha=\"0.14\", expect_size=\"41688064\"] \n  31 -> 33 [size =\"41688064\"]\n  31 -> 34 [size =\"41688064\"]\n  32 [size=\"151179947\", alpha=\"0.18\", expect_size=\"45353984\"] \n  32 -> 34 [size =\"45353984\"]\n  33 [size=\"17493333\", alpha=\"0.18\", expect_size=\"5248000\"] \n  33 -> 36 [size =\"5248000\"]\n  33 -> 37 [size =\"5248000\"]\n  34 [size=\"40413867\", alpha=\"0.03\", expect_size=\"12124160\"] \n  34 -> 35 [size =\"12124160\"]\n  34 -> 36 [size =\"12124160\"]\n  35 [size=\"71843840\", alpha=\"0.07\", expect_size=\"21553152\"] \n  35 -> 40 [size =\"21553152\"]\n  36 [size=\"23941120\", alpha=\"0.07\", expect_size=\"7182336\"] \n  36 -> 39 [size =\"7182336\"]\n  37 [size=\"139786240\", alpha=\"0.14\", expect_size=\"41935872\"] \n  37 -> 38 [size =\"41935872\"]\n  37 -> 39 [size =\"41935872\"]\n  38 [size=\"155026773\", alpha=\"0.06\", expect_size=\"46508032\"] \n  39 [size=\"96406187\", alpha=\"0.09\", expect_size=\"28921856\"] \n  40 [size=\"140342613\", alpha=\"0.06\", expect_size=\"42102784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75059200\", alpha=\"0.04\", expect_size=\"37529600\"] \n  1 -> 36 [size =\"37529600\"]\n  1 -> 40 [size =\"37529600\"]\n  2 [size=\"50446336\", alpha=\"0.15\", expect_size=\"25223168\"] \n  2 -> 36 [size =\"25223168\"]\n  2 -> 39 [size =\"25223168\"]\n  3 [size=\"57262080\", alpha=\"0.11\", expect_size=\"28631040\"] \n  3 -> 36 [size =\"28631040\"]\n  3 -> 38 [size =\"28631040\"]\n  4 [size=\"21248000\", alpha=\"0.02\", expect_size=\"10624000\"] \n  4 -> 39 [size =\"10624000\"]\n  5 [size=\"36448256\", alpha=\"0.16\", expect_size=\"18224128\"] \n  5 -> 36 [size =\"18224128\"]\n  5 -> 40 [size =\"18224128\"]\n  6 [size=\"104312832\", alpha=\"0.02\", expect_size=\"52156416\"] \n  6 -> 38 [size =\"52156416\"]\n  6 -> 39 [size =\"52156416\"]\n  7 [size=\"15689728\", alpha=\"0.17\", expect_size=\"7844864\"] \n  7 -> 36 [size =\"7844864\"]\n  8 [size=\"14503936\", alpha=\"0.10\", expect_size=\"7251968\"] \n  8 -> 36 [size =\"7251968\"]\n  8 -> 39 [size =\"7251968\"]\n  8 -> 40 [size =\"7251968\"]\n  9 [size=\"90687488\", alpha=\"0.03\", expect_size=\"45343744\"] \n  9 -> 37 [size =\"45343744\"]\n  9 -> 39 [size =\"45343744\"]\n  9 -> 40 [size =\"45343744\"]\n  10 [size=\"38111232\", alpha=\"0.19\", expect_size=\"19055616\"] \n  10 -> 36 [size =\"19055616\"]\n  10 -> 37 [size =\"19055616\"]\n  11 [size=\"86648832\", alpha=\"0.17\", expect_size=\"43324416\"] \n  11 -> 36 [size =\"43324416\"]\n  11 -> 38 [size =\"43324416\"]\n  11 -> 40 [size =\"43324416\"]\n  12 [size=\"13402112\", alpha=\"0.09\", expect_size=\"6701056\"] \n  12 -> 36 [size =\"6701056\"]\n  12 -> 39 [size =\"6701056\"]\n  12 -> 40 [size =\"6701056\"]\n  13 [size=\"84529152\", alpha=\"0.11\", expect_size=\"42264576\"] \n  13 -> 36 [size =\"42264576\"]\n  13 -> 39 [size =\"42264576\"]\n  13 -> 40 [size =\"42264576\"]\n  14 [size=\"41693184\", alpha=\"0.04\", expect_size=\"20846592\"] \n  14 -> 36 [size =\"20846592\"]\n  14 -> 39 [size =\"20846592\"]\n  15 [size=\"49043456\", alpha=\"0.08\", expect_size=\"24521728\"] \n  15 -> 36 [size =\"24521728\"]\n  15 -> 37 [size =\"24521728\"]\n  15 -> 40 [size =\"24521728\"]\n  16 [size=\"30169088\", alpha=\"0.18\", expect_size=\"15084544\"] \n  16 -> 36 [size =\"15084544\"]\n  16 -> 39 [size =\"15084544\"]\n  16 -> 40 [size =\"15084544\"]\n  17 [size=\"39948288\", alpha=\"0.11\", expect_size=\"19974144\"] \n  17 -> 36 [size =\"19974144\"]\n  17 -> 37 [size =\"19974144\"]\n  17 -> 38 [size =\"19974144\"]\n  18 [size=\"24098816\", alpha=\"0.07\", expect_size=\"12049408\"] \n  18 -> 36 [size =\"12049408\"]\n  18 -> 38 [size =\"12049408\"]\n  18 -> 40 [size =\"12049408\"]\n  19 [size=\"73271296\", alpha=\"0.10\", expect_size=\"36635648\"] \n  19 -> 36 [size =\"36635648\"]\n  20 [size=\"85723136\", alpha=\"0.13\", expect_size=\"42861568\"] \n  20 -> 36 [size =\"42861568\"]\n  20 -> 38 [size =\"42861568\"]\n  21 [size=\"81405952\", alpha=\"0.10\", expect_size=\"40702976\"] \n  21 -> 36 [size =\"40702976\"]\n  21 -> 39 [size =\"40702976\"]\n  22 [size=\"69183488\", alpha=\"0.15\", expect_size=\"34591744\"] \n  22 -> 36 [size =\"34591744\"]\n  23 [size=\"16908288\", alpha=\"0.09\", expect_size=\"8454144\"] \n  24 [size=\"70764544\", alpha=\"0.07\", expect_size=\"35382272\"] \n  24 -> 40 [size =\"35382272\"]\n  25 [size=\"90691584\", alpha=\"0.09\", expect_size=\"45345792\"] \n  25 -> 36 [size =\"45345792\"]\n  25 -> 39 [size =\"45345792\"]\n  26 [size=\"34902016\", alpha=\"0.12\", expect_size=\"17451008\"] \n  26 -> 36 [size =\"17451008\"]\n  27 [size=\"25227264\", alpha=\"0.16\", expect_size=\"12613632\"] \n  27 -> 36 [size =\"12613632\"]\n  27 -> 39 [size =\"12613632\"]\n  28 [size=\"78366720\", alpha=\"0.00\", expect_size=\"39183360\"] \n  28 -> 36 [size =\"39183360\"]\n  29 [size=\"19337216\", alpha=\"0.02\", expect_size=\"9668608\"] \n  29 -> 36 [size =\"9668608\"]\n  30 [size=\"68091904\", alpha=\"0.09\", expect_size=\"34045952\"] \n  30 -> 36 [size =\"34045952\"]\n  30 -> 39 [size =\"34045952\"]\n  30 -> 40 [size =\"34045952\"]\n  31 [size=\"35743744\", alpha=\"0.12\", expect_size=\"17871872\"] \n  31 -> 39 [size =\"17871872\"]\n  32 [size=\"81242112\", alpha=\"0.16\", expect_size=\"40621056\"] \n  32 -> 36 [size =\"40621056\"]\n  32 -> 39 [size =\"40621056\"]\n  33 [size=\"55803904\", alpha=\"0.16\", expect_size=\"27901952\"] \n  33 -> 36 [size =\"27901952\"]\n  33 -> 39 [size =\"27901952\"]\n  34 [size=\"100577280\", alpha=\"0.03\", expect_size=\"50288640\"] \n  34 -> 36 [size =\"50288640\"]\n  34 -> 37 [size =\"50288640\"]\n  34 -> 39 [size =\"50288640\"]\n  35 [size=\"37580800\", alpha=\"0.17\", expect_size=\"18790400\"] \n  35 -> 36 [size =\"18790400\"]\n  35 -> 37 [size =\"18790400\"]\n  36 [size=\"81522688\", alpha=\"0.16\", expect_size=\"40761344\"] \n  37 [size=\"43116544\", alpha=\"0.01\", expect_size=\"21558272\"] \n  38 [size=\"21936128\", alpha=\"0.09\", expect_size=\"10968064\"] \n  39 [size=\"22001664\", alpha=\"0.10\", expect_size=\"11000832\"] \n  40 [size=\"29145088\", alpha=\"0.07\", expect_size=\"14572544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104881493\", alpha=\"0.17\", expect_size=\"31464448\"] \n  1 -> 15 [size =\"31464448\"]\n  1 -> 17 [size =\"31464448\"]\n  1 -> 22 [size =\"31464448\"]\n  1 -> 28 [size =\"31464448\"]\n  1 -> 30 [size =\"31464448\"]\n  2 [size=\"64122880\", alpha=\"0.02\", expect_size=\"19236864\"] \n  2 -> 18 [size =\"19236864\"]\n  2 -> 19 [size =\"19236864\"]\n  2 -> 22 [size =\"19236864\"]\n  2 -> 28 [size =\"19236864\"]\n  2 -> 30 [size =\"19236864\"]\n  3 [size=\"63488000\", alpha=\"0.09\", expect_size=\"19046400\"] \n  3 -> 15 [size =\"19046400\"]\n  3 -> 20 [size =\"19046400\"]\n  3 -> 22 [size =\"19046400\"]\n  3 -> 24 [size =\"19046400\"]\n  3 -> 25 [size =\"19046400\"]\n  3 -> 26 [size =\"19046400\"]\n  3 -> 27 [size =\"19046400\"]\n  3 -> 30 [size =\"19046400\"]\n  4 [size=\"86879573\", alpha=\"0.15\", expect_size=\"26063872\"] \n  4 -> 15 [size =\"26063872\"]\n  4 -> 18 [size =\"26063872\"]\n  4 -> 19 [size =\"26063872\"]\n  4 -> 20 [size =\"26063872\"]\n  4 -> 25 [size =\"26063872\"]\n  4 -> 26 [size =\"26063872\"]\n  4 -> 27 [size =\"26063872\"]\n  4 -> 29 [size =\"26063872\"]\n  4 -> 30 [size =\"26063872\"]\n  5 [size=\"35498667\", alpha=\"0.10\", expect_size=\"10649600\"] \n  5 -> 14 [size =\"10649600\"]\n  5 -> 15 [size =\"10649600\"]\n  5 -> 18 [size =\"10649600\"]\n  5 -> 22 [size =\"10649600\"]\n  5 -> 24 [size =\"10649600\"]\n  5 -> 26 [size =\"10649600\"]\n  5 -> 29 [size =\"10649600\"]\n  6 [size=\"76008107\", alpha=\"0.14\", expect_size=\"22802432\"] \n  6 -> 17 [size =\"22802432\"]\n  6 -> 18 [size =\"22802432\"]\n  6 -> 21 [size =\"22802432\"]\n  6 -> 26 [size =\"22802432\"]\n  6 -> 28 [size =\"22802432\"]\n  7 [size=\"138649600\", alpha=\"0.06\", expect_size=\"41594880\"] \n  7 -> 14 [size =\"41594880\"]\n  7 -> 15 [size =\"41594880\"]\n  7 -> 17 [size =\"41594880\"]\n  7 -> 20 [size =\"41594880\"]\n  7 -> 21 [size =\"41594880\"]\n  7 -> 24 [size =\"41594880\"]\n  7 -> 26 [size =\"41594880\"]\n  8 [size=\"137966933\", alpha=\"0.05\", expect_size=\"41390080\"] \n  8 -> 14 [size =\"41390080\"]\n  8 -> 15 [size =\"41390080\"]\n  8 -> 17 [size =\"41390080\"]\n  8 -> 25 [size =\"41390080\"]\n  8 -> 27 [size =\"41390080\"]\n  8 -> 28 [size =\"41390080\"]\n  9 [size=\"21804373\", alpha=\"0.08\", expect_size=\"6541312\"] \n  9 -> 15 [size =\"6541312\"]\n  9 -> 20 [size =\"6541312\"]\n  9 -> 21 [size =\"6541312\"]\n  9 -> 24 [size =\"6541312\"]\n  9 -> 25 [size =\"6541312\"]\n  9 -> 28 [size =\"6541312\"]\n  9 -> 29 [size =\"6541312\"]\n  10 [size=\"153658027\", alpha=\"0.05\", expect_size=\"46097408\"] \n  10 -> 20 [size =\"46097408\"]\n  10 -> 21 [size =\"46097408\"]\n  11 [size=\"120316587\", alpha=\"0.17\", expect_size=\"36094976\"] \n  11 -> 21 [size =\"36094976\"]\n  11 -> 26 [size =\"36094976\"]\n  12 [size=\"98822827\", alpha=\"0.14\", expect_size=\"29646848\"] \n  12 -> 18 [size =\"29646848\"]\n  12 -> 24 [size =\"29646848\"]\n  12 -> 27 [size =\"29646848\"]\n  13 [size=\"115292160\", alpha=\"0.15\", expect_size=\"34587648\"] \n  13 -> 14 [size =\"34587648\"]\n  13 -> 16 [size =\"34587648\"]\n  13 -> 17 [size =\"34587648\"]\n  13 -> 18 [size =\"34587648\"]\n  13 -> 21 [size =\"34587648\"]\n  13 -> 23 [size =\"34587648\"]\n  13 -> 25 [size =\"34587648\"]\n  14 [size=\"26531840\", alpha=\"0.19\", expect_size=\"7959552\"] \n  14 -> 33 [size =\"7959552\"]\n  14 -> 35 [size =\"7959552\"]\n  15 [size=\"145431893\", alpha=\"0.02\", expect_size=\"43629568\"] \n  15 -> 34 [size =\"43629568\"]\n  15 -> 35 [size =\"43629568\"]\n  15 -> 36 [size =\"43629568\"]\n  15 -> 39 [size =\"43629568\"]\n  16 [size=\"69959680\", alpha=\"0.01\", expect_size=\"20987904\"] \n  16 -> 31 [size =\"20987904\"]\n  16 -> 32 [size =\"20987904\"]\n  16 -> 34 [size =\"20987904\"]\n  17 [size=\"22316373\", alpha=\"0.15\", expect_size=\"6694912\"] \n  17 -> 35 [size =\"6694912\"]\n  17 -> 36 [size =\"6694912\"]\n  17 -> 39 [size =\"6694912\"]\n  18 [size=\"66645333\", alpha=\"0.05\", expect_size=\"19993600\"] \n  19 [size=\"108523520\", alpha=\"0.11\", expect_size=\"32557056\"] \n  19 -> 35 [size =\"32557056\"]\n  19 -> 40 [size =\"32557056\"]\n  20 [size=\"174134613\", alpha=\"0.08\", expect_size=\"52240384\"] \n  20 -> 34 [size =\"52240384\"]\n  20 -> 36 [size =\"52240384\"]\n  21 [size=\"57350827\", alpha=\"0.17\", expect_size=\"17205248\"] \n  21 -> 32 [size =\"17205248\"]\n  21 -> 36 [size =\"17205248\"]\n  21 -> 37 [size =\"17205248\"]\n  21 -> 38 [size =\"17205248\"]\n  22 [size=\"33652053\", alpha=\"0.11\", expect_size=\"10095616\"] \n  23 [size=\"142660267\", alpha=\"0.11\", expect_size=\"42798080\"] \n  23 -> 31 [size =\"42798080\"]\n  23 -> 34 [size =\"42798080\"]\n  23 -> 36 [size =\"42798080\"]\n  23 -> 38 [size =\"42798080\"]\n  24 [size=\"104608427\", alpha=\"0.20\", expect_size=\"31382528\"] \n  24 -> 31 [size =\"31382528\"]\n  24 -> 34 [size =\"31382528\"]\n  24 -> 35 [size =\"31382528\"]\n  24 -> 36 [size =\"31382528\"]\n  25 [size=\"95092053\", alpha=\"0.11\", expect_size=\"28527616\"] \n  25 -> 34 [size =\"28527616\"]\n  25 -> 36 [size =\"28527616\"]\n  25 -> 37 [size =\"28527616\"]\n  26 [size=\"111254187\", alpha=\"0.09\", expect_size=\"33376256\"] \n  27 [size=\"115985067\", alpha=\"0.03\", expect_size=\"34795520\"] \n  27 -> 32 [size =\"34795520\"]\n  27 -> 36 [size =\"34795520\"]\n  28 [size=\"79441920\", alpha=\"0.12\", expect_size=\"23832576\"] \n  28 -> 34 [size =\"23832576\"]\n  28 -> 35 [size =\"23832576\"]\n  29 [size=\"118306133\", alpha=\"0.02\", expect_size=\"35491840\"] \n  29 -> 31 [size =\"35491840\"]\n  29 -> 32 [size =\"35491840\"]\n  29 -> 33 [size =\"35491840\"]\n  29 -> 38 [size =\"35491840\"]\n  30 [size=\"49653760\", alpha=\"0.09\", expect_size=\"14896128\"] \n  30 -> 37 [size =\"14896128\"]\n  30 -> 38 [size =\"14896128\"]\n  31 [size=\"115479893\", alpha=\"0.10\", expect_size=\"34643968\"] \n  32 [size=\"88616960\", alpha=\"0.00\", expect_size=\"26585088\"] \n  33 [size=\"173004800\", alpha=\"0.03\", expect_size=\"51901440\"] \n  34 [size=\"100082347\", alpha=\"0.07\", expect_size=\"30024704\"] \n  35 [size=\"96539307\", alpha=\"0.08\", expect_size=\"28961792\"] \n  36 [size=\"23115093\", alpha=\"0.15\", expect_size=\"6934528\"] \n  37 [size=\"95631360\", alpha=\"0.03\", expect_size=\"28689408\"] \n  38 [size=\"120685227\", alpha=\"0.17\", expect_size=\"36205568\"] \n  39 [size=\"61480960\", alpha=\"0.02\", expect_size=\"18444288\"] \n  40 [size=\"79639893\", alpha=\"0.08\", expect_size=\"23891968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47493120\", alpha=\"0.19\", expect_size=\"23746560\"] \n  1 -> 33 [size =\"23746560\"]\n  1 -> 38 [size =\"23746560\"]\n  1 -> 40 [size =\"23746560\"]\n  2 [size=\"86319104\", alpha=\"0.09\", expect_size=\"43159552\"] \n  2 -> 32 [size =\"43159552\"]\n  2 -> 33 [size =\"43159552\"]\n  2 -> 37 [size =\"43159552\"]\n  2 -> 38 [size =\"43159552\"]\n  2 -> 40 [size =\"43159552\"]\n  3 [size=\"30676992\", alpha=\"0.02\", expect_size=\"15338496\"] \n  3 -> 31 [size =\"15338496\"]\n  3 -> 33 [size =\"15338496\"]\n  3 -> 34 [size =\"15338496\"]\n  3 -> 36 [size =\"15338496\"]\n  3 -> 37 [size =\"15338496\"]\n  4 [size=\"34777088\", alpha=\"0.16\", expect_size=\"17388544\"] \n  4 -> 31 [size =\"17388544\"]\n  4 -> 34 [size =\"17388544\"]\n  4 -> 37 [size =\"17388544\"]\n  4 -> 38 [size =\"17388544\"]\n  5 [size=\"80009216\", alpha=\"0.01\", expect_size=\"40004608\"] \n  5 -> 29 [size =\"40004608\"]\n  5 -> 37 [size =\"40004608\"]\n  6 [size=\"14811136\", alpha=\"0.05\", expect_size=\"7405568\"] \n  6 -> 30 [size =\"7405568\"]\n  6 -> 31 [size =\"7405568\"]\n  6 -> 34 [size =\"7405568\"]\n  6 -> 37 [size =\"7405568\"]\n  7 [size=\"89614336\", alpha=\"0.03\", expect_size=\"44807168\"] \n  7 -> 33 [size =\"44807168\"]\n  7 -> 34 [size =\"44807168\"]\n  7 -> 36 [size =\"44807168\"]\n  8 [size=\"12398592\", alpha=\"0.19\", expect_size=\"6199296\"] \n  8 -> 31 [size =\"6199296\"]\n  8 -> 33 [size =\"6199296\"]\n  8 -> 34 [size =\"6199296\"]\n  8 -> 36 [size =\"6199296\"]\n  8 -> 40 [size =\"6199296\"]\n  9 [size=\"27609088\", alpha=\"0.10\", expect_size=\"13804544\"] \n  9 -> 32 [size =\"13804544\"]\n  9 -> 33 [size =\"13804544\"]\n  9 -> 34 [size =\"13804544\"]\n  9 -> 36 [size =\"13804544\"]\n  9 -> 40 [size =\"13804544\"]\n  10 [size=\"14254080\", alpha=\"0.05\", expect_size=\"7127040\"] \n  10 -> 29 [size =\"7127040\"]\n  10 -> 31 [size =\"7127040\"]\n  10 -> 33 [size =\"7127040\"]\n  10 -> 36 [size =\"7127040\"]\n  10 -> 38 [size =\"7127040\"]\n  10 -> 39 [size =\"7127040\"]\n  10 -> 40 [size =\"7127040\"]\n  11 [size=\"77103104\", alpha=\"0.09\", expect_size=\"38551552\"] \n  11 -> 31 [size =\"38551552\"]\n  11 -> 33 [size =\"38551552\"]\n  11 -> 33 [size =\"38551552\"]\n  11 -> 36 [size =\"38551552\"]\n  11 -> 40 [size =\"38551552\"]\n  12 [size=\"73267200\", alpha=\"0.09\", expect_size=\"36633600\"] \n  12 -> 29 [size =\"36633600\"]\n  12 -> 31 [size =\"36633600\"]\n  12 -> 34 [size =\"36633600\"]\n  12 -> 39 [size =\"36633600\"]\n  12 -> 40 [size =\"36633600\"]\n  13 [size=\"19781632\", alpha=\"0.19\", expect_size=\"9890816\"] \n  13 -> 31 [size =\"9890816\"]\n  13 -> 31 [size =\"9890816\"]\n  13 -> 32 [size =\"9890816\"]\n  13 -> 37 [size =\"9890816\"]\n  13 -> 40 [size =\"9890816\"]\n  14 [size=\"27660288\", alpha=\"0.04\", expect_size=\"13830144\"] \n  14 -> 31 [size =\"13830144\"]\n  14 -> 32 [size =\"13830144\"]\n  14 -> 33 [size =\"13830144\"]\n  14 -> 40 [size =\"13830144\"]\n  15 [size=\"101705728\", alpha=\"0.04\", expect_size=\"50852864\"] \n  15 -> 30 [size =\"50852864\"]\n  15 -> 31 [size =\"50852864\"]\n  15 -> 34 [size =\"50852864\"]\n  15 -> 35 [size =\"50852864\"]\n  15 -> 40 [size =\"50852864\"]\n  16 [size=\"104179712\", alpha=\"0.09\", expect_size=\"52089856\"] \n  16 -> 31 [size =\"52089856\"]\n  16 -> 38 [size =\"52089856\"]\n  17 [size=\"33486848\", alpha=\"0.17\", expect_size=\"16743424\"] \n  17 -> 31 [size =\"16743424\"]\n  17 -> 33 [size =\"16743424\"]\n  17 -> 35 [size =\"16743424\"]\n  17 -> 36 [size =\"16743424\"]\n  17 -> 38 [size =\"16743424\"]\n  18 [size=\"47015936\", alpha=\"0.01\", expect_size=\"23507968\"] \n  18 -> 31 [size =\"23507968\"]\n  18 -> 33 [size =\"23507968\"]\n  18 -> 36 [size =\"23507968\"]\n  18 -> 37 [size =\"23507968\"]\n  19 [size=\"41199616\", alpha=\"0.10\", expect_size=\"20599808\"] \n  19 -> 31 [size =\"20599808\"]\n  19 -> 32 [size =\"20599808\"]\n  19 -> 33 [size =\"20599808\"]\n  19 -> 36 [size =\"20599808\"]\n  19 -> 37 [size =\"20599808\"]\n  19 -> 40 [size =\"20599808\"]\n  20 [size=\"88580096\", alpha=\"0.12\", expect_size=\"44290048\"] \n  20 -> 33 [size =\"44290048\"]\n  20 -> 37 [size =\"44290048\"]\n  21 [size=\"18515968\", alpha=\"0.01\", expect_size=\"9257984\"] \n  21 -> 29 [size =\"9257984\"]\n  21 -> 32 [size =\"9257984\"]\n  22 [size=\"61327360\", alpha=\"0.07\", expect_size=\"30663680\"] \n  22 -> 34 [size =\"30663680\"]\n  23 [size=\"11532288\", alpha=\"0.17\", expect_size=\"5766144\"] \n  23 -> 29 [size =\"5766144\"]\n  23 -> 30 [size =\"5766144\"]\n  23 -> 31 [size =\"5766144\"]\n  23 -> 34 [size =\"5766144\"]\n  23 -> 37 [size =\"5766144\"]\n  24 [size=\"99700736\", alpha=\"0.13\", expect_size=\"49850368\"] \n  24 -> 32 [size =\"49850368\"]\n  24 -> 34 [size =\"49850368\"]\n  25 [size=\"22128640\", alpha=\"0.03\", expect_size=\"11064320\"] \n  25 -> 33 [size =\"11064320\"]\n  25 -> 36 [size =\"11064320\"]\n  25 -> 37 [size =\"11064320\"]\n  26 [size=\"42090496\", alpha=\"0.13\", expect_size=\"21045248\"] \n  26 -> 31 [size =\"21045248\"]\n  26 -> 32 [size =\"21045248\"]\n  26 -> 36 [size =\"21045248\"]\n  26 -> 40 [size =\"21045248\"]\n  27 [size=\"86403072\", alpha=\"0.01\", expect_size=\"43201536\"] \n  27 -> 31 [size =\"43201536\"]\n  27 -> 40 [size =\"43201536\"]\n  28 [size=\"72015872\", alpha=\"0.09\", expect_size=\"36007936\"] \n  28 -> 31 [size =\"36007936\"]\n  28 -> 40 [size =\"36007936\"]\n  29 [size=\"78755840\", alpha=\"0.01\", expect_size=\"39377920\"] \n  30 [size=\"30433280\", alpha=\"0.13\", expect_size=\"15216640\"] \n  31 [size=\"85446656\", alpha=\"0.20\", expect_size=\"42723328\"] \n  32 [size=\"92063744\", alpha=\"0.20\", expect_size=\"46031872\"] \n  33 [size=\"31744000\", alpha=\"0.02\", expect_size=\"15872000\"] \n  34 [size=\"19056640\", alpha=\"0.07\", expect_size=\"9528320\"] \n  35 [size=\"78290944\", alpha=\"0.12\", expect_size=\"39145472\"] \n  36 [size=\"90226688\", alpha=\"0.17\", expect_size=\"45113344\"] \n  37 [size=\"59191296\", alpha=\"0.06\", expect_size=\"29595648\"] \n  38 [size=\"64315392\", alpha=\"0.04\", expect_size=\"32157696\"] \n  39 [size=\"13139968\", alpha=\"0.08\", expect_size=\"6569984\"] \n  40 [size=\"17162240\", alpha=\"0.08\", expect_size=\"8581120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89010176\", alpha=\"0.05\", expect_size=\"44505088\"] \n  1 -> 14 [size =\"44505088\"]\n  1 -> 15 [size =\"44505088\"]\n  1 -> 18 [size =\"44505088\"]\n  1 -> 19 [size =\"44505088\"]\n  1 -> 21 [size =\"44505088\"]\n  2 [size=\"32737280\", alpha=\"0.06\", expect_size=\"16368640\"] \n  2 -> 13 [size =\"16368640\"]\n  2 -> 14 [size =\"16368640\"]\n  2 -> 19 [size =\"16368640\"]\n  2 -> 19 [size =\"16368640\"]\n  2 -> 22 [size =\"16368640\"]\n  2 -> 23 [size =\"16368640\"]\n  2 -> 24 [size =\"16368640\"]\n  3 [size=\"22315008\", alpha=\"0.01\", expect_size=\"11157504\"] \n  3 -> 14 [size =\"11157504\"]\n  3 -> 19 [size =\"11157504\"]\n  3 -> 19 [size =\"11157504\"]\n  3 -> 21 [size =\"11157504\"]\n  3 -> 22 [size =\"11157504\"]\n  3 -> 23 [size =\"11157504\"]\n  3 -> 24 [size =\"11157504\"]\n  4 [size=\"14198784\", alpha=\"0.14\", expect_size=\"7099392\"] \n  4 -> 17 [size =\"7099392\"]\n  4 -> 19 [size =\"7099392\"]\n  4 -> 23 [size =\"7099392\"]\n  4 -> 24 [size =\"7099392\"]\n  5 [size=\"99614720\", alpha=\"0.11\", expect_size=\"49807360\"] \n  5 -> 13 [size =\"49807360\"]\n  5 -> 14 [size =\"49807360\"]\n  5 -> 17 [size =\"49807360\"]\n  5 -> 19 [size =\"49807360\"]\n  5 -> 21 [size =\"49807360\"]\n  5 -> 24 [size =\"49807360\"]\n  6 [size=\"23181312\", alpha=\"0.09\", expect_size=\"11590656\"] \n  6 -> 13 [size =\"11590656\"]\n  6 -> 14 [size =\"11590656\"]\n  6 -> 16 [size =\"11590656\"]\n  6 -> 24 [size =\"11590656\"]\n  7 [size=\"102457344\", alpha=\"0.15\", expect_size=\"51228672\"] \n  7 -> 14 [size =\"51228672\"]\n  7 -> 14 [size =\"51228672\"]\n  7 -> 18 [size =\"51228672\"]\n  7 -> 19 [size =\"51228672\"]\n  7 -> 24 [size =\"51228672\"]\n  8 [size=\"73601024\", alpha=\"0.12\", expect_size=\"36800512\"] \n  8 -> 14 [size =\"36800512\"]\n  8 -> 24 [size =\"36800512\"]\n  9 [size=\"37873664\", alpha=\"0.13\", expect_size=\"18936832\"] \n  9 -> 15 [size =\"18936832\"]\n  9 -> 22 [size =\"18936832\"]\n  9 -> 24 [size =\"18936832\"]\n  10 [size=\"86552576\", alpha=\"0.03\", expect_size=\"43276288\"] \n  10 -> 14 [size =\"43276288\"]\n  10 -> 15 [size =\"43276288\"]\n  10 -> 19 [size =\"43276288\"]\n  10 -> 21 [size =\"43276288\"]\n  10 -> 24 [size =\"43276288\"]\n  11 [size=\"85876736\", alpha=\"0.09\", expect_size=\"42938368\"] \n  11 -> 14 [size =\"42938368\"]\n  11 -> 15 [size =\"42938368\"]\n  11 -> 17 [size =\"42938368\"]\n  11 -> 19 [size =\"42938368\"]\n  11 -> 20 [size =\"42938368\"]\n  11 -> 24 [size =\"42938368\"]\n  12 [size=\"14112768\", alpha=\"0.09\", expect_size=\"7056384\"] \n  12 -> 14 [size =\"7056384\"]\n  12 -> 19 [size =\"7056384\"]\n  12 -> 21 [size =\"7056384\"]\n  13 [size=\"44128256\", alpha=\"0.11\", expect_size=\"22064128\"] \n  13 -> 25 [size =\"22064128\"]\n  13 -> 26 [size =\"22064128\"]\n  13 -> 27 [size =\"22064128\"]\n  13 -> 30 [size =\"22064128\"]\n  13 -> 32 [size =\"22064128\"]\n  13 -> 32 [size =\"22064128\"]\n  13 -> 34 [size =\"22064128\"]\n  13 -> 35 [size =\"22064128\"]\n  13 -> 36 [size =\"22064128\"]\n  13 -> 37 [size =\"22064128\"]\n  14 [size=\"50997248\", alpha=\"0.09\", expect_size=\"25498624\"] \n  14 -> 25 [size =\"25498624\"]\n  14 -> 26 [size =\"25498624\"]\n  14 -> 27 [size =\"25498624\"]\n  14 -> 30 [size =\"25498624\"]\n  14 -> 31 [size =\"25498624\"]\n  14 -> 32 [size =\"25498624\"]\n  14 -> 35 [size =\"25498624\"]\n  14 -> 38 [size =\"25498624\"]\n  14 -> 39 [size =\"25498624\"]\n  14 -> 40 [size =\"25498624\"]\n  15 [size=\"23599104\", alpha=\"0.16\", expect_size=\"11799552\"] \n  15 -> 26 [size =\"11799552\"]\n  15 -> 27 [size =\"11799552\"]\n  15 -> 30 [size =\"11799552\"]\n  15 -> 30 [size =\"11799552\"]\n  15 -> 31 [size =\"11799552\"]\n  15 -> 32 [size =\"11799552\"]\n  15 -> 35 [size =\"11799552\"]\n  15 -> 36 [size =\"11799552\"]\n  15 -> 37 [size =\"11799552\"]\n  16 [size=\"76634112\", alpha=\"0.08\", expect_size=\"38317056\"] \n  16 -> 25 [size =\"38317056\"]\n  16 -> 26 [size =\"38317056\"]\n  16 -> 27 [size =\"38317056\"]\n  16 -> 31 [size =\"38317056\"]\n  16 -> 31 [size =\"38317056\"]\n  16 -> 34 [size =\"38317056\"]\n  16 -> 36 [size =\"38317056\"]\n  16 -> 37 [size =\"38317056\"]\n  16 -> 37 [size =\"38317056\"]\n  16 -> 38 [size =\"38317056\"]\n  17 [size=\"26445824\", alpha=\"0.18\", expect_size=\"13222912\"] \n  17 -> 25 [size =\"13222912\"]\n  17 -> 26 [size =\"13222912\"]\n  17 -> 27 [size =\"13222912\"]\n  17 -> 31 [size =\"13222912\"]\n  17 -> 35 [size =\"13222912\"]\n  17 -> 37 [size =\"13222912\"]\n  17 -> 38 [size =\"13222912\"]\n  17 -> 40 [size =\"13222912\"]\n  18 [size=\"96694272\", alpha=\"0.16\", expect_size=\"48347136\"] \n  18 -> 26 [size =\"48347136\"]\n  18 -> 32 [size =\"48347136\"]\n  18 -> 35 [size =\"48347136\"]\n  18 -> 36 [size =\"48347136\"]\n  18 -> 37 [size =\"48347136\"]\n  19 [size=\"56977408\", alpha=\"0.19\", expect_size=\"28488704\"] \n  19 -> 26 [size =\"28488704\"]\n  19 -> 28 [size =\"28488704\"]\n  19 -> 31 [size =\"28488704\"]\n  19 -> 33 [size =\"28488704\"]\n  19 -> 34 [size =\"28488704\"]\n  19 -> 39 [size =\"28488704\"]\n  20 [size=\"23132160\", alpha=\"0.12\", expect_size=\"11566080\"] \n  20 -> 26 [size =\"11566080\"]\n  20 -> 27 [size =\"11566080\"]\n  20 -> 31 [size =\"11566080\"]\n  20 -> 33 [size =\"11566080\"]\n  20 -> 34 [size =\"11566080\"]\n  20 -> 36 [size =\"11566080\"]\n  20 -> 37 [size =\"11566080\"]\n  21 [size=\"35237888\", alpha=\"0.01\", expect_size=\"17618944\"] \n  21 -> 27 [size =\"17618944\"]\n  21 -> 30 [size =\"17618944\"]\n  21 -> 31 [size =\"17618944\"]\n  21 -> 32 [size =\"17618944\"]\n  21 -> 33 [size =\"17618944\"]\n  21 -> 35 [size =\"17618944\"]\n  21 -> 36 [size =\"17618944\"]\n  22 [size=\"77662208\", alpha=\"0.15\", expect_size=\"38831104\"] \n  22 -> 25 [size =\"38831104\"]\n  22 -> 27 [size =\"38831104\"]\n  22 -> 29 [size =\"38831104\"]\n  22 -> 30 [size =\"38831104\"]\n  22 -> 32 [size =\"38831104\"]\n  22 -> 34 [size =\"38831104\"]\n  22 -> 35 [size =\"38831104\"]\n  22 -> 36 [size =\"38831104\"]\n  22 -> 37 [size =\"38831104\"]\n  23 [size=\"27232256\", alpha=\"0.12\", expect_size=\"13616128\"] \n  23 -> 26 [size =\"13616128\"]\n  23 -> 27 [size =\"13616128\"]\n  23 -> 30 [size =\"13616128\"]\n  23 -> 30 [size =\"13616128\"]\n  23 -> 31 [size =\"13616128\"]\n  23 -> 32 [size =\"13616128\"]\n  23 -> 33 [size =\"13616128\"]\n  23 -> 34 [size =\"13616128\"]\n  23 -> 35 [size =\"13616128\"]\n  23 -> 36 [size =\"13616128\"]\n  24 [size=\"80044032\", alpha=\"0.09\", expect_size=\"40022016\"] \n  24 -> 25 [size =\"40022016\"]\n  24 -> 26 [size =\"40022016\"]\n  24 -> 27 [size =\"40022016\"]\n  24 -> 30 [size =\"40022016\"]\n  24 -> 31 [size =\"40022016\"]\n  24 -> 32 [size =\"40022016\"]\n  24 -> 34 [size =\"40022016\"]\n  24 -> 35 [size =\"40022016\"]\n  24 -> 35 [size =\"40022016\"]\n  24 -> 37 [size =\"40022016\"]\n  25 [size=\"26996736\", alpha=\"0.05\", expect_size=\"13498368\"] \n  26 [size=\"103985152\", alpha=\"0.04\", expect_size=\"51992576\"] \n  27 [size=\"45189120\", alpha=\"0.03\", expect_size=\"22594560\"] \n  28 [size=\"36728832\", alpha=\"0.14\", expect_size=\"18364416\"] \n  29 [size=\"16832512\", alpha=\"0.12\", expect_size=\"8416256\"] \n  30 [size=\"12595200\", alpha=\"0.06\", expect_size=\"6297600\"] \n  31 [size=\"68249600\", alpha=\"0.15\", expect_size=\"34124800\"] \n  32 [size=\"73574400\", alpha=\"0.06\", expect_size=\"36787200\"] \n  33 [size=\"50823168\", alpha=\"0.04\", expect_size=\"25411584\"] \n  34 [size=\"11825152\", alpha=\"0.10\", expect_size=\"5912576\"] \n  35 [size=\"54669312\", alpha=\"0.19\", expect_size=\"27334656\"] \n  36 [size=\"79740928\", alpha=\"0.02\", expect_size=\"39870464\"] \n  37 [size=\"99735552\", alpha=\"0.08\", expect_size=\"49867776\"] \n  38 [size=\"17885184\", alpha=\"0.13\", expect_size=\"8942592\"] \n  39 [size=\"86046720\", alpha=\"0.07\", expect_size=\"43023360\"] \n  40 [size=\"48492544\", alpha=\"0.04\", expect_size=\"24246272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91603627\", alpha=\"0.14\", expect_size=\"27481088\"] \n  1 -> 19 [size =\"27481088\"]\n  1 -> 20 [size =\"27481088\"]\n  1 -> 21 [size =\"27481088\"]\n  1 -> 23 [size =\"27481088\"]\n  1 -> 23 [size =\"27481088\"]\n  1 -> 27 [size =\"27481088\"]\n  1 -> 30 [size =\"27481088\"]\n  1 -> 34 [size =\"27481088\"]\n  1 -> 37 [size =\"27481088\"]\n  1 -> 39 [size =\"27481088\"]\n  2 [size=\"89303040\", alpha=\"0.09\", expect_size=\"26790912\"] \n  2 -> 19 [size =\"26790912\"]\n  2 -> 20 [size =\"26790912\"]\n  2 -> 21 [size =\"26790912\"]\n  2 -> 30 [size =\"26790912\"]\n  2 -> 32 [size =\"26790912\"]\n  2 -> 33 [size =\"26790912\"]\n  2 -> 34 [size =\"26790912\"]\n  2 -> 34 [size =\"26790912\"]\n  2 -> 36 [size =\"26790912\"]\n  3 [size=\"142257493\", alpha=\"0.08\", expect_size=\"42677248\"] \n  3 -> 19 [size =\"42677248\"]\n  3 -> 20 [size =\"42677248\"]\n  3 -> 21 [size =\"42677248\"]\n  3 -> 23 [size =\"42677248\"]\n  3 -> 26 [size =\"42677248\"]\n  3 -> 29 [size =\"42677248\"]\n  3 -> 30 [size =\"42677248\"]\n  3 -> 32 [size =\"42677248\"]\n  3 -> 34 [size =\"42677248\"]\n  3 -> 35 [size =\"42677248\"]\n  3 -> 36 [size =\"42677248\"]\n  4 [size=\"149671253\", alpha=\"0.14\", expect_size=\"44901376\"] \n  4 -> 19 [size =\"44901376\"]\n  4 -> 20 [size =\"44901376\"]\n  4 -> 21 [size =\"44901376\"]\n  4 -> 24 [size =\"44901376\"]\n  4 -> 27 [size =\"44901376\"]\n  4 -> 30 [size =\"44901376\"]\n  4 -> 32 [size =\"44901376\"]\n  4 -> 32 [size =\"44901376\"]\n  4 -> 35 [size =\"44901376\"]\n  4 -> 35 [size =\"44901376\"]\n  5 [size=\"74431147\", alpha=\"0.12\", expect_size=\"22329344\"] \n  5 -> 19 [size =\"22329344\"]\n  5 -> 20 [size =\"22329344\"]\n  5 -> 21 [size =\"22329344\"]\n  5 -> 22 [size =\"22329344\"]\n  5 -> 23 [size =\"22329344\"]\n  5 -> 26 [size =\"22329344\"]\n  5 -> 27 [size =\"22329344\"]\n  5 -> 28 [size =\"22329344\"]\n  5 -> 33 [size =\"22329344\"]\n  5 -> 34 [size =\"22329344\"]\n  5 -> 37 [size =\"22329344\"]\n  5 -> 39 [size =\"22329344\"]\n  6 [size=\"99167573\", alpha=\"0.12\", expect_size=\"29750272\"] \n  6 -> 19 [size =\"29750272\"]\n  6 -> 21 [size =\"29750272\"]\n  6 -> 21 [size =\"29750272\"]\n  6 -> 22 [size =\"29750272\"]\n  6 -> 24 [size =\"29750272\"]\n  6 -> 26 [size =\"29750272\"]\n  6 -> 27 [size =\"29750272\"]\n  6 -> 28 [size =\"29750272\"]\n  6 -> 31 [size =\"29750272\"]\n  6 -> 32 [size =\"29750272\"]\n  6 -> 35 [size =\"29750272\"]\n  7 [size=\"108943360\", alpha=\"0.20\", expect_size=\"32683008\"] \n  7 -> 20 [size =\"32683008\"]\n  7 -> 21 [size =\"32683008\"]\n  7 -> 22 [size =\"32683008\"]\n  7 -> 23 [size =\"32683008\"]\n  7 -> 24 [size =\"32683008\"]\n  7 -> 27 [size =\"32683008\"]\n  7 -> 27 [size =\"32683008\"]\n  7 -> 28 [size =\"32683008\"]\n  7 -> 29 [size =\"32683008\"]\n  7 -> 30 [size =\"32683008\"]\n  7 -> 34 [size =\"32683008\"]\n  7 -> 35 [size =\"32683008\"]\n  7 -> 39 [size =\"32683008\"]\n  8 [size=\"37406720\", alpha=\"0.00\", expect_size=\"11222016\"] \n  8 -> 20 [size =\"11222016\"]\n  8 -> 21 [size =\"11222016\"]\n  8 -> 22 [size =\"11222016\"]\n  8 -> 24 [size =\"11222016\"]\n  8 -> 26 [size =\"11222016\"]\n  8 -> 27 [size =\"11222016\"]\n  8 -> 29 [size =\"11222016\"]\n  8 -> 34 [size =\"11222016\"]\n  8 -> 39 [size =\"11222016\"]\n  9 [size=\"124477440\", alpha=\"0.06\", expect_size=\"37343232\"] \n  9 -> 19 [size =\"37343232\"]\n  9 -> 21 [size =\"37343232\"]\n  9 -> 26 [size =\"37343232\"]\n  9 -> 29 [size =\"37343232\"]\n  9 -> 33 [size =\"37343232\"]\n  9 -> 34 [size =\"37343232\"]\n  9 -> 35 [size =\"37343232\"]\n  9 -> 39 [size =\"37343232\"]\n  10 [size=\"102051840\", alpha=\"0.12\", expect_size=\"30615552\"] \n  10 -> 19 [size =\"30615552\"]\n  10 -> 21 [size =\"30615552\"]\n  10 -> 22 [size =\"30615552\"]\n  10 -> 23 [size =\"30615552\"]\n  10 -> 25 [size =\"30615552\"]\n  10 -> 27 [size =\"30615552\"]\n  10 -> 28 [size =\"30615552\"]\n  10 -> 30 [size =\"30615552\"]\n  10 -> 34 [size =\"30615552\"]\n  10 -> 35 [size =\"30615552\"]\n  10 -> 36 [size =\"30615552\"]\n  10 -> 39 [size =\"30615552\"]\n  11 [size=\"38959787\", alpha=\"0.16\", expect_size=\"11687936\"] \n  11 -> 20 [size =\"11687936\"]\n  11 -> 21 [size =\"11687936\"]\n  11 -> 22 [size =\"11687936\"]\n  11 -> 23 [size =\"11687936\"]\n  11 -> 27 [size =\"11687936\"]\n  11 -> 30 [size =\"11687936\"]\n  11 -> 34 [size =\"11687936\"]\n  11 -> 35 [size =\"11687936\"]\n  11 -> 37 [size =\"11687936\"]\n  11 -> 39 [size =\"11687936\"]\n  12 [size=\"146278400\", alpha=\"0.08\", expect_size=\"43883520\"] \n  12 -> 19 [size =\"43883520\"]\n  12 -> 20 [size =\"43883520\"]\n  12 -> 21 [size =\"43883520\"]\n  12 -> 23 [size =\"43883520\"]\n  12 -> 24 [size =\"43883520\"]\n  12 -> 26 [size =\"43883520\"]\n  12 -> 27 [size =\"43883520\"]\n  12 -> 30 [size =\"43883520\"]\n  12 -> 33 [size =\"43883520\"]\n  12 -> 34 [size =\"43883520\"]\n  12 -> 36 [size =\"43883520\"]\n  12 -> 38 [size =\"43883520\"]\n  12 -> 39 [size =\"43883520\"]\n  13 [size=\"56705707\", alpha=\"0.00\", expect_size=\"17011712\"] \n  13 -> 19 [size =\"17011712\"]\n  13 -> 21 [size =\"17011712\"]\n  13 -> 23 [size =\"17011712\"]\n  13 -> 23 [size =\"17011712\"]\n  13 -> 26 [size =\"17011712\"]\n  13 -> 27 [size =\"17011712\"]\n  13 -> 27 [size =\"17011712\"]\n  13 -> 32 [size =\"17011712\"]\n  13 -> 35 [size =\"17011712\"]\n  13 -> 36 [size =\"17011712\"]\n  13 -> 38 [size =\"17011712\"]\n  13 -> 39 [size =\"17011712\"]\n  14 [size=\"119398400\", alpha=\"0.10\", expect_size=\"35819520\"] \n  14 -> 19 [size =\"35819520\"]\n  14 -> 20 [size =\"35819520\"]\n  14 -> 23 [size =\"35819520\"]\n  14 -> 24 [size =\"35819520\"]\n  14 -> 27 [size =\"35819520\"]\n  14 -> 27 [size =\"35819520\"]\n  14 -> 29 [size =\"35819520\"]\n  14 -> 30 [size =\"35819520\"]\n  14 -> 35 [size =\"35819520\"]\n  14 -> 38 [size =\"35819520\"]\n  15 [size=\"71502507\", alpha=\"0.15\", expect_size=\"21450752\"] \n  15 -> 19 [size =\"21450752\"]\n  15 -> 20 [size =\"21450752\"]\n  15 -> 21 [size =\"21450752\"]\n  15 -> 22 [size =\"21450752\"]\n  15 -> 23 [size =\"21450752\"]\n  15 -> 27 [size =\"21450752\"]\n  15 -> 29 [size =\"21450752\"]\n  15 -> 32 [size =\"21450752\"]\n  15 -> 34 [size =\"21450752\"]\n  15 -> 36 [size =\"21450752\"]\n  15 -> 39 [size =\"21450752\"]\n  16 [size=\"164898133\", alpha=\"0.12\", expect_size=\"49469440\"] \n  16 -> 19 [size =\"49469440\"]\n  16 -> 20 [size =\"49469440\"]\n  16 -> 23 [size =\"49469440\"]\n  16 -> 27 [size =\"49469440\"]\n  16 -> 28 [size =\"49469440\"]\n  16 -> 29 [size =\"49469440\"]\n  16 -> 30 [size =\"49469440\"]\n  16 -> 32 [size =\"49469440\"]\n  16 -> 34 [size =\"49469440\"]\n  16 -> 36 [size =\"49469440\"]\n  17 [size=\"104656213\", alpha=\"0.11\", expect_size=\"31396864\"] \n  17 -> 19 [size =\"31396864\"]\n  17 -> 20 [size =\"31396864\"]\n  17 -> 21 [size =\"31396864\"]\n  17 -> 22 [size =\"31396864\"]\n  17 -> 23 [size =\"31396864\"]\n  17 -> 30 [size =\"31396864\"]\n  17 -> 32 [size =\"31396864\"]\n  17 -> 32 [size =\"31396864\"]\n  17 -> 34 [size =\"31396864\"]\n  17 -> 35 [size =\"31396864\"]\n  17 -> 36 [size =\"31396864\"]\n  17 -> 37 [size =\"31396864\"]\n  17 -> 38 [size =\"31396864\"]\n  18 [size=\"103335253\", alpha=\"0.08\", expect_size=\"31000576\"] \n  18 -> 19 [size =\"31000576\"]\n  18 -> 20 [size =\"31000576\"]\n  18 -> 22 [size =\"31000576\"]\n  18 -> 22 [size =\"31000576\"]\n  18 -> 23 [size =\"31000576\"]\n  18 -> 26 [size =\"31000576\"]\n  18 -> 27 [size =\"31000576\"]\n  18 -> 28 [size =\"31000576\"]\n  18 -> 30 [size =\"31000576\"]\n  18 -> 32 [size =\"31000576\"]\n  18 -> 34 [size =\"31000576\"]\n  18 -> 36 [size =\"31000576\"]\n  18 -> 38 [size =\"31000576\"]\n  19 [size=\"104069120\", alpha=\"0.05\", expect_size=\"31220736\"] \n  20 [size=\"147496960\", alpha=\"0.06\", expect_size=\"44249088\"] \n  21 [size=\"83063467\", alpha=\"0.16\", expect_size=\"24919040\"] \n  22 [size=\"48595627\", alpha=\"0.15\", expect_size=\"14578688\"] \n  23 [size=\"109660160\", alpha=\"0.10\", expect_size=\"32898048\"] \n  24 [size=\"110032213\", alpha=\"0.02\", expect_size=\"33009664\"] \n  25 [size=\"29078187\", alpha=\"0.01\", expect_size=\"8723456\"] \n  26 [size=\"143493120\", alpha=\"0.11\", expect_size=\"43047936\"] \n  27 [size=\"82636800\", alpha=\"0.12\", expect_size=\"24791040\"] \n  28 [size=\"169543680\", alpha=\"0.16\", expect_size=\"50863104\"] \n  29 [size=\"73594880\", alpha=\"0.13\", expect_size=\"22078464\"] \n  30 [size=\"111404373\", alpha=\"0.01\", expect_size=\"33421312\"] \n  31 [size=\"154722987\", alpha=\"0.12\", expect_size=\"46416896\"] \n  31 -> 40 [size =\"46416896\"]\n  32 [size=\"120395093\", alpha=\"0.19\", expect_size=\"36118528\"] \n  33 [size=\"80247467\", alpha=\"0.11\", expect_size=\"24074240\"] \n  34 [size=\"159064747\", alpha=\"0.16\", expect_size=\"47719424\"] \n  35 [size=\"174469120\", alpha=\"0.08\", expect_size=\"52340736\"] \n  36 [size=\"26129067\", alpha=\"0.19\", expect_size=\"7838720\"] \n  37 [size=\"110315520\", alpha=\"0.01\", expect_size=\"33094656\"] \n  38 [size=\"46636373\", alpha=\"0.14\", expect_size=\"13990912\"] \n  39 [size=\"169598293\", alpha=\"0.18\", expect_size=\"50879488\"] \n  40 [size=\"114339840\", alpha=\"0.18\", expect_size=\"34301952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19921920\", alpha=\"0.07\", expect_size=\"7968768\"] \n  1 -> 26 [size =\"7968768\"]\n  1 -> 30 [size =\"7968768\"]\n  1 -> 33 [size =\"7968768\"]\n  1 -> 35 [size =\"7968768\"]\n  1 -> 36 [size =\"7968768\"]\n  1 -> 40 [size =\"7968768\"]\n  2 [size=\"68323840\", alpha=\"0.13\", expect_size=\"27329536\"] \n  2 -> 25 [size =\"27329536\"]\n  2 -> 26 [size =\"27329536\"]\n  2 -> 29 [size =\"27329536\"]\n  2 -> 30 [size =\"27329536\"]\n  2 -> 31 [size =\"27329536\"]\n  2 -> 35 [size =\"27329536\"]\n  2 -> 36 [size =\"27329536\"]\n  2 -> 37 [size =\"27329536\"]\n  2 -> 39 [size =\"27329536\"]\n  2 -> 40 [size =\"27329536\"]\n  3 [size=\"13624320\", alpha=\"0.17\", expect_size=\"5449728\"] \n  3 -> 26 [size =\"5449728\"]\n  3 -> 27 [size =\"5449728\"]\n  3 -> 29 [size =\"5449728\"]\n  3 -> 30 [size =\"5449728\"]\n  3 -> 31 [size =\"5449728\"]\n  3 -> 33 [size =\"5449728\"]\n  3 -> 35 [size =\"5449728\"]\n  3 -> 36 [size =\"5449728\"]\n  3 -> 40 [size =\"5449728\"]\n  4 [size=\"98716160\", alpha=\"0.14\", expect_size=\"39486464\"] \n  4 -> 25 [size =\"39486464\"]\n  4 -> 26 [size =\"39486464\"]\n  4 -> 27 [size =\"39486464\"]\n  4 -> 28 [size =\"39486464\"]\n  4 -> 29 [size =\"39486464\"]\n  4 -> 30 [size =\"39486464\"]\n  4 -> 35 [size =\"39486464\"]\n  4 -> 36 [size =\"39486464\"]\n  4 -> 40 [size =\"39486464\"]\n  5 [size=\"79380480\", alpha=\"0.05\", expect_size=\"31752192\"] \n  5 -> 25 [size =\"31752192\"]\n  5 -> 26 [size =\"31752192\"]\n  5 -> 29 [size =\"31752192\"]\n  5 -> 30 [size =\"31752192\"]\n  5 -> 31 [size =\"31752192\"]\n  5 -> 35 [size =\"31752192\"]\n  5 -> 36 [size =\"31752192\"]\n  5 -> 36 [size =\"31752192\"]\n  5 -> 39 [size =\"31752192\"]\n  5 -> 40 [size =\"31752192\"]\n  6 [size=\"111101440\", alpha=\"0.05\", expect_size=\"44440576\"] \n  6 -> 25 [size =\"44440576\"]\n  6 -> 26 [size =\"44440576\"]\n  6 -> 27 [size =\"44440576\"]\n  6 -> 30 [size =\"44440576\"]\n  6 -> 31 [size =\"44440576\"]\n  6 -> 34 [size =\"44440576\"]\n  6 -> 35 [size =\"44440576\"]\n  6 -> 37 [size =\"44440576\"]\n  6 -> 39 [size =\"44440576\"]\n  6 -> 40 [size =\"44440576\"]\n  7 [size=\"67310080\", alpha=\"0.20\", expect_size=\"26924032\"] \n  7 -> 25 [size =\"26924032\"]\n  7 -> 30 [size =\"26924032\"]\n  7 -> 31 [size =\"26924032\"]\n  7 -> 33 [size =\"26924032\"]\n  7 -> 35 [size =\"26924032\"]\n  7 -> 37 [size =\"26924032\"]\n  7 -> 39 [size =\"26924032\"]\n  7 -> 40 [size =\"26924032\"]\n  8 [size=\"125132800\", alpha=\"0.13\", expect_size=\"50053120\"] \n  8 -> 25 [size =\"50053120\"]\n  8 -> 29 [size =\"50053120\"]\n  8 -> 30 [size =\"50053120\"]\n  8 -> 31 [size =\"50053120\"]\n  8 -> 35 [size =\"50053120\"]\n  8 -> 36 [size =\"50053120\"]\n  8 -> 39 [size =\"50053120\"]\n  8 -> 40 [size =\"50053120\"]\n  9 [size=\"92725760\", alpha=\"0.09\", expect_size=\"37090304\"] \n  9 -> 25 [size =\"37090304\"]\n  9 -> 26 [size =\"37090304\"]\n  9 -> 30 [size =\"37090304\"]\n  9 -> 31 [size =\"37090304\"]\n  9 -> 35 [size =\"37090304\"]\n  9 -> 36 [size =\"37090304\"]\n  9 -> 40 [size =\"37090304\"]\n  10 [size=\"66572800\", alpha=\"0.11\", expect_size=\"26629120\"] \n  10 -> 25 [size =\"26629120\"]\n  10 -> 30 [size =\"26629120\"]\n  10 -> 30 [size =\"26629120\"]\n  10 -> 31 [size =\"26629120\"]\n  10 -> 35 [size =\"26629120\"]\n  10 -> 36 [size =\"26629120\"]\n  10 -> 39 [size =\"26629120\"]\n  10 -> 40 [size =\"26629120\"]\n  11 [size=\"112527360\", alpha=\"0.00\", expect_size=\"45010944\"] \n  11 -> 25 [size =\"45010944\"]\n  11 -> 26 [size =\"45010944\"]\n  11 -> 30 [size =\"45010944\"]\n  11 -> 31 [size =\"45010944\"]\n  11 -> 32 [size =\"45010944\"]\n  11 -> 36 [size =\"45010944\"]\n  11 -> 37 [size =\"45010944\"]\n  11 -> 39 [size =\"45010944\"]\n  11 -> 40 [size =\"45010944\"]\n  12 [size=\"33651200\", alpha=\"0.16\", expect_size=\"13460480\"] \n  12 -> 25 [size =\"13460480\"]\n  12 -> 29 [size =\"13460480\"]\n  12 -> 30 [size =\"13460480\"]\n  12 -> 31 [size =\"13460480\"]\n  12 -> 35 [size =\"13460480\"]\n  12 -> 36 [size =\"13460480\"]\n  12 -> 37 [size =\"13460480\"]\n  12 -> 39 [size =\"13460480\"]\n  12 -> 40 [size =\"13460480\"]\n  13 [size=\"109248000\", alpha=\"0.08\", expect_size=\"43699200\"] \n  13 -> 30 [size =\"43699200\"]\n  13 -> 31 [size =\"43699200\"]\n  13 -> 35 [size =\"43699200\"]\n  13 -> 39 [size =\"43699200\"]\n  14 [size=\"94417920\", alpha=\"0.20\", expect_size=\"37767168\"] \n  14 -> 25 [size =\"37767168\"]\n  14 -> 30 [size =\"37767168\"]\n  14 -> 31 [size =\"37767168\"]\n  14 -> 37 [size =\"37767168\"]\n  14 -> 39 [size =\"37767168\"]\n  14 -> 40 [size =\"37767168\"]\n  15 [size=\"56473600\", alpha=\"0.01\", expect_size=\"22589440\"] \n  15 -> 25 [size =\"22589440\"]\n  15 -> 26 [size =\"22589440\"]\n  15 -> 27 [size =\"22589440\"]\n  15 -> 29 [size =\"22589440\"]\n  15 -> 30 [size =\"22589440\"]\n  15 -> 31 [size =\"22589440\"]\n  15 -> 38 [size =\"22589440\"]\n  15 -> 39 [size =\"22589440\"]\n  16 [size=\"86095360\", alpha=\"0.12\", expect_size=\"34438144\"] \n  16 -> 25 [size =\"34438144\"]\n  16 -> 26 [size =\"34438144\"]\n  16 -> 27 [size =\"34438144\"]\n  16 -> 29 [size =\"34438144\"]\n  16 -> 30 [size =\"34438144\"]\n  16 -> 31 [size =\"34438144\"]\n  16 -> 32 [size =\"34438144\"]\n  16 -> 34 [size =\"34438144\"]\n  16 -> 35 [size =\"34438144\"]\n  16 -> 36 [size =\"34438144\"]\n  16 -> 39 [size =\"34438144\"]\n  16 -> 40 [size =\"34438144\"]\n  17 [size=\"116600320\", alpha=\"0.04\", expect_size=\"46640128\"] \n  17 -> 26 [size =\"46640128\"]\n  17 -> 26 [size =\"46640128\"]\n  17 -> 30 [size =\"46640128\"]\n  17 -> 31 [size =\"46640128\"]\n  17 -> 35 [size =\"46640128\"]\n  17 -> 36 [size =\"46640128\"]\n  17 -> 38 [size =\"46640128\"]\n  17 -> 39 [size =\"46640128\"]\n  17 -> 40 [size =\"46640128\"]\n  18 [size=\"116428800\", alpha=\"0.16\", expect_size=\"46571520\"] \n  18 -> 25 [size =\"46571520\"]\n  18 -> 26 [size =\"46571520\"]\n  18 -> 30 [size =\"46571520\"]\n  18 -> 31 [size =\"46571520\"]\n  18 -> 33 [size =\"46571520\"]\n  18 -> 35 [size =\"46571520\"]\n  18 -> 36 [size =\"46571520\"]\n  18 -> 39 [size =\"46571520\"]\n  18 -> 40 [size =\"46571520\"]\n  19 [size=\"77122560\", alpha=\"0.18\", expect_size=\"30849024\"] \n  19 -> 25 [size =\"30849024\"]\n  19 -> 26 [size =\"30849024\"]\n  19 -> 29 [size =\"30849024\"]\n  19 -> 31 [size =\"30849024\"]\n  19 -> 35 [size =\"30849024\"]\n  19 -> 35 [size =\"30849024\"]\n  19 -> 37 [size =\"30849024\"]\n  19 -> 39 [size =\"30849024\"]\n  20 [size=\"13601280\", alpha=\"0.11\", expect_size=\"5440512\"] \n  20 -> 25 [size =\"5440512\"]\n  20 -> 26 [size =\"5440512\"]\n  20 -> 29 [size =\"5440512\"]\n  20 -> 31 [size =\"5440512\"]\n  20 -> 33 [size =\"5440512\"]\n  20 -> 35 [size =\"5440512\"]\n  20 -> 36 [size =\"5440512\"]\n  20 -> 39 [size =\"5440512\"]\n  20 -> 40 [size =\"5440512\"]\n  21 [size=\"75576320\", alpha=\"0.06\", expect_size=\"30230528\"] \n  21 -> 25 [size =\"30230528\"]\n  21 -> 26 [size =\"30230528\"]\n  21 -> 27 [size =\"30230528\"]\n  21 -> 29 [size =\"30230528\"]\n  21 -> 30 [size =\"30230528\"]\n  21 -> 31 [size =\"30230528\"]\n  21 -> 36 [size =\"30230528\"]\n  21 -> 40 [size =\"30230528\"]\n  21 -> 40 [size =\"30230528\"]\n  22 [size=\"76958720\", alpha=\"0.10\", expect_size=\"30783488\"] \n  22 -> 25 [size =\"30783488\"]\n  22 -> 26 [size =\"30783488\"]\n  22 -> 29 [size =\"30783488\"]\n  22 -> 29 [size =\"30783488\"]\n  22 -> 31 [size =\"30783488\"]\n  22 -> 32 [size =\"30783488\"]\n  22 -> 35 [size =\"30783488\"]\n  22 -> 40 [size =\"30783488\"]\n  23 [size=\"55500800\", alpha=\"0.15\", expect_size=\"22200320\"] \n  23 -> 26 [size =\"22200320\"]\n  23 -> 29 [size =\"22200320\"]\n  23 -> 29 [size =\"22200320\"]\n  23 -> 31 [size =\"22200320\"]\n  23 -> 36 [size =\"22200320\"]\n  23 -> 39 [size =\"22200320\"]\n  24 [size=\"102159360\", alpha=\"0.13\", expect_size=\"40863744\"] \n  24 -> 26 [size =\"40863744\"]\n  24 -> 29 [size =\"40863744\"]\n  24 -> 30 [size =\"40863744\"]\n  24 -> 35 [size =\"40863744\"]\n  24 -> 36 [size =\"40863744\"]\n  24 -> 40 [size =\"40863744\"]\n  25 [size=\"99571200\", alpha=\"0.03\", expect_size=\"39828480\"] \n  26 [size=\"104248320\", alpha=\"0.10\", expect_size=\"41699328\"] \n  27 [size=\"54548480\", alpha=\"0.06\", expect_size=\"21819392\"] \n  28 [size=\"80000000\", alpha=\"0.01\", expect_size=\"32000000\"] \n  29 [size=\"58977280\", alpha=\"0.09\", expect_size=\"23590912\"] \n  30 [size=\"46218240\", alpha=\"0.06\", expect_size=\"18487296\"] \n  31 [size=\"113843200\", alpha=\"0.00\", expect_size=\"45537280\"] \n  32 [size=\"32737280\", alpha=\"0.18\", expect_size=\"13094912\"] \n  33 [size=\"94049280\", alpha=\"0.12\", expect_size=\"37619712\"] \n  34 [size=\"62369280\", alpha=\"0.20\", expect_size=\"24947712\"] \n  35 [size=\"23306240\", alpha=\"0.15\", expect_size=\"9322496\"] \n  36 [size=\"43133440\", alpha=\"0.02\", expect_size=\"17253376\"] \n  37 [size=\"101880320\", alpha=\"0.07\", expect_size=\"40752128\"] \n  38 [size=\"17827840\", alpha=\"0.10\", expect_size=\"7131136\"] \n  39 [size=\"20961280\", alpha=\"0.03\", expect_size=\"8384512\"] \n  40 [size=\"72939520\", alpha=\"0.17\", expect_size=\"29175808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20770816\", alpha=\"0.08\", expect_size=\"10385408\"] \n  2 [size=\"30629888\", alpha=\"0.14\", expect_size=\"15314944\"] \n  3 [size=\"43487232\", alpha=\"0.02\", expect_size=\"21743616\"] \n  3 -> 4 [size =\"21743616\"]\n  3 -> 5 [size =\"21743616\"]\n  4 [size=\"38909952\", alpha=\"0.11\", expect_size=\"19454976\"] \n  4 -> 6 [size =\"19454976\"]\n  4 -> 7 [size =\"19454976\"]\n  5 [size=\"61554688\", alpha=\"0.05\", expect_size=\"30777344\"] \n  5 -> 8 [size =\"30777344\"]\n  6 [size=\"52293632\", alpha=\"0.20\", expect_size=\"26146816\"] \n  6 -> 9 [size =\"26146816\"]\n  7 [size=\"15681536\", alpha=\"0.12\", expect_size=\"7840768\"] \n  7 -> 9 [size =\"7840768\"]\n  8 [size=\"79785984\", alpha=\"0.13\", expect_size=\"39892992\"] \n  8 -> 10 [size =\"39892992\"]\n  8 -> 11 [size =\"39892992\"]\n  9 [size=\"76324864\", alpha=\"0.07\", expect_size=\"38162432\"] \n  9 -> 13 [size =\"38162432\"]\n  10 [size=\"42711040\", alpha=\"0.11\", expect_size=\"21355520\"] \n  10 -> 12 [size =\"21355520\"]\n  11 [size=\"69347328\", alpha=\"0.04\", expect_size=\"34673664\"] \n  11 -> 13 [size =\"34673664\"]\n  12 [size=\"13381632\", alpha=\"0.19\", expect_size=\"6690816\"] \n  13 [size=\"78639104\", alpha=\"0.04\", expect_size=\"39319552\"] \n  13 -> 14 [size =\"39319552\"]\n  13 -> 15 [size =\"39319552\"]\n  13 -> 16 [size =\"39319552\"]\n  14 [size=\"86929408\", alpha=\"0.12\", expect_size=\"43464704\"] \n  14 -> 17 [size =\"43464704\"]\n  14 -> 19 [size =\"43464704\"]\n  15 [size=\"46712832\", alpha=\"0.01\", expect_size=\"23356416\"] \n  15 -> 17 [size =\"23356416\"]\n  15 -> 18 [size =\"23356416\"]\n  16 [size=\"72482816\", alpha=\"0.12\", expect_size=\"36241408\"] \n  17 [size=\"70428672\", alpha=\"0.04\", expect_size=\"35214336\"] \n  17 -> 20 [size =\"35214336\"]\n  17 -> 21 [size =\"35214336\"]\n  18 [size=\"33007616\", alpha=\"0.10\", expect_size=\"16503808\"] \n  18 -> 21 [size =\"16503808\"]\n  18 -> 22 [size =\"16503808\"]\n  19 [size=\"94038016\", alpha=\"0.19\", expect_size=\"47019008\"] \n  19 -> 20 [size =\"47019008\"]\n  19 -> 22 [size =\"47019008\"]\n  20 [size=\"34709504\", alpha=\"0.10\", expect_size=\"17354752\"] \n  20 -> 23 [size =\"17354752\"]\n  20 -> 24 [size =\"17354752\"]\n  21 [size=\"86890496\", alpha=\"0.03\", expect_size=\"43445248\"] \n  22 [size=\"103776256\", alpha=\"0.00\", expect_size=\"51888128\"] \n  22 -> 23 [size =\"51888128\"]\n  23 [size=\"98617344\", alpha=\"0.05\", expect_size=\"49308672\"] \n  23 -> 25 [size =\"49308672\"]\n  24 [size=\"21700608\", alpha=\"0.15\", expect_size=\"10850304\"] \n  24 -> 26 [size =\"10850304\"]\n  24 -> 27 [size =\"10850304\"]\n  25 [size=\"79865856\", alpha=\"0.16\", expect_size=\"39932928\"] \n  25 -> 28 [size =\"39932928\"]\n  25 -> 29 [size =\"39932928\"]\n  26 [size=\"82593792\", alpha=\"0.06\", expect_size=\"41296896\"] \n  27 [size=\"43309056\", alpha=\"0.17\", expect_size=\"21654528\"] \n  28 [size=\"62115840\", alpha=\"0.03\", expect_size=\"31057920\"] \n  28 -> 30 [size =\"31057920\"]\n  28 -> 32 [size =\"31057920\"]\n  29 [size=\"16324608\", alpha=\"0.03\", expect_size=\"8162304\"] \n  29 -> 31 [size =\"8162304\"]\n  30 [size=\"13129728\", alpha=\"0.09\", expect_size=\"6564864\"] \n  30 -> 33 [size =\"6564864\"]\n  30 -> 34 [size =\"6564864\"]\n  31 [size=\"61003776\", alpha=\"0.08\", expect_size=\"30501888\"] \n  32 [size=\"75859968\", alpha=\"0.08\", expect_size=\"37929984\"] \n  32 -> 35 [size =\"37929984\"]\n  33 [size=\"77844480\", alpha=\"0.02\", expect_size=\"38922240\"] \n  33 -> 36 [size =\"38922240\"]\n  33 -> 37 [size =\"38922240\"]\n  34 [size=\"99960832\", alpha=\"0.12\", expect_size=\"49980416\"] \n  35 [size=\"76259328\", alpha=\"0.10\", expect_size=\"38129664\"] \n  35 -> 36 [size =\"38129664\"]\n  36 [size=\"57810944\", alpha=\"0.01\", expect_size=\"28905472\"] \n  36 -> 38 [size =\"28905472\"]\n  37 [size=\"86425600\", alpha=\"0.05\", expect_size=\"43212800\"] \n  37 -> 39 [size =\"43212800\"]\n  38 [size=\"72929280\", alpha=\"0.14\", expect_size=\"36464640\"] \n  39 [size=\"86622208\", alpha=\"0.20\", expect_size=\"43311104\"] \n  39 -> 40 [size =\"43311104\"]\n  40 [size=\"98975744\", alpha=\"0.11\", expect_size=\"49487872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72007680\", alpha=\"0.11\", expect_size=\"36003840\"] \n  1 -> 2 [size =\"36003840\"]\n  1 -> 3 [size =\"36003840\"]\n  1 -> 4 [size =\"36003840\"]\n  1 -> 5 [size =\"36003840\"]\n  2 [size=\"48943104\", alpha=\"0.05\", expect_size=\"24471552\"] \n  2 -> 7 [size =\"24471552\"]\n  2 -> 8 [size =\"24471552\"]\n  3 [size=\"102707200\", alpha=\"0.05\", expect_size=\"51353600\"] \n  3 -> 6 [size =\"51353600\"]\n  3 -> 7 [size =\"51353600\"]\n  3 -> 8 [size =\"51353600\"]\n  4 [size=\"43042816\", alpha=\"0.05\", expect_size=\"21521408\"] \n  4 -> 6 [size =\"21521408\"]\n  4 -> 7 [size =\"21521408\"]\n  5 [size=\"60784640\", alpha=\"0.07\", expect_size=\"30392320\"] \n  5 -> 6 [size =\"30392320\"]\n  5 -> 8 [size =\"30392320\"]\n  6 [size=\"57665536\", alpha=\"0.12\", expect_size=\"28832768\"] \n  6 -> 9 [size =\"28832768\"]\n  7 [size=\"97990656\", alpha=\"0.00\", expect_size=\"48995328\"] \n  7 -> 10 [size =\"48995328\"]\n  8 [size=\"78028800\", alpha=\"0.03\", expect_size=\"39014400\"] \n  8 -> 9 [size =\"39014400\"]\n  8 -> 10 [size =\"39014400\"]\n  9 [size=\"92512256\", alpha=\"0.02\", expect_size=\"46256128\"] \n  9 -> 11 [size =\"46256128\"]\n  9 -> 12 [size =\"46256128\"]\n  10 [size=\"16279552\", alpha=\"0.06\", expect_size=\"8139776\"] \n  10 -> 11 [size =\"8139776\"]\n  10 -> 12 [size =\"8139776\"]\n  11 [size=\"13594624\", alpha=\"0.02\", expect_size=\"6797312\"] \n  11 -> 13 [size =\"6797312\"]\n  12 [size=\"64286720\", alpha=\"0.18\", expect_size=\"32143360\"] \n  12 -> 13 [size =\"32143360\"]\n  13 [size=\"88471552\", alpha=\"0.09\", expect_size=\"44235776\"] \n  13 -> 14 [size =\"44235776\"]\n  13 -> 15 [size =\"44235776\"]\n  14 [size=\"18821120\", alpha=\"0.19\", expect_size=\"9410560\"] \n  14 -> 16 [size =\"9410560\"]\n  14 -> 17 [size =\"9410560\"]\n  15 [size=\"40521728\", alpha=\"0.09\", expect_size=\"20260864\"] \n  15 -> 16 [size =\"20260864\"]\n  15 -> 18 [size =\"20260864\"]\n  16 [size=\"73603072\", alpha=\"0.15\", expect_size=\"36801536\"] \n  16 -> 19 [size =\"36801536\"]\n  16 -> 21 [size =\"36801536\"]\n  17 [size=\"36347904\", alpha=\"0.03\", expect_size=\"18173952\"] \n  17 -> 19 [size =\"18173952\"]\n  17 -> 20 [size =\"18173952\"]\n  18 [size=\"37242880\", alpha=\"0.04\", expect_size=\"18621440\"] \n  18 -> 20 [size =\"18621440\"]\n  18 -> 21 [size =\"18621440\"]\n  19 [size=\"50993152\", alpha=\"0.16\", expect_size=\"25496576\"] \n  20 [size=\"60084224\", alpha=\"0.01\", expect_size=\"30042112\"] \n  20 -> 22 [size =\"30042112\"]\n  21 [size=\"88647680\", alpha=\"0.19\", expect_size=\"44323840\"] \n  21 -> 22 [size =\"44323840\"]\n  22 [size=\"98244608\", alpha=\"0.05\", expect_size=\"49122304\"] \n  22 -> 23 [size =\"49122304\"]\n  23 [size=\"89559040\", alpha=\"0.11\", expect_size=\"44779520\"] \n  23 -> 24 [size =\"44779520\"]\n  23 -> 25 [size =\"44779520\"]\n  23 -> 26 [size =\"44779520\"]\n  24 [size=\"38789120\", alpha=\"0.04\", expect_size=\"19394560\"] \n  24 -> 28 [size =\"19394560\"]\n  25 [size=\"32600064\", alpha=\"0.07\", expect_size=\"16300032\"] \n  25 -> 27 [size =\"16300032\"]\n  25 -> 30 [size =\"16300032\"]\n  26 [size=\"74827776\", alpha=\"0.01\", expect_size=\"37413888\"] \n  26 -> 27 [size =\"37413888\"]\n  26 -> 29 [size =\"37413888\"]\n  26 -> 30 [size =\"37413888\"]\n  27 [size=\"53215232\", alpha=\"0.13\", expect_size=\"26607616\"] \n  28 [size=\"68427776\", alpha=\"0.19\", expect_size=\"34213888\"] \n  29 [size=\"87769088\", alpha=\"0.02\", expect_size=\"43884544\"] \n  29 -> 31 [size =\"43884544\"]\n  29 -> 32 [size =\"43884544\"]\n  30 [size=\"68505600\", alpha=\"0.07\", expect_size=\"34252800\"] \n  30 -> 32 [size =\"34252800\"]\n  31 [size=\"73207808\", alpha=\"0.13\", expect_size=\"36603904\"] \n  31 -> 33 [size =\"36603904\"]\n  31 -> 34 [size =\"36603904\"]\n  31 -> 35 [size =\"36603904\"]\n  32 [size=\"69023744\", alpha=\"0.10\", expect_size=\"34511872\"] \n  32 -> 34 [size =\"34511872\"]\n  32 -> 35 [size =\"34511872\"]\n  33 [size=\"94410752\", alpha=\"0.03\", expect_size=\"47205376\"] \n  33 -> 37 [size =\"47205376\"]\n  34 [size=\"52850688\", alpha=\"0.18\", expect_size=\"26425344\"] \n  34 -> 36 [size =\"26425344\"]\n  34 -> 37 [size =\"26425344\"]\n  35 [size=\"71272448\", alpha=\"0.20\", expect_size=\"35636224\"] \n  35 -> 36 [size =\"35636224\"]\n  35 -> 37 [size =\"35636224\"]\n  36 [size=\"11235328\", alpha=\"0.15\", expect_size=\"5617664\"] \n  36 -> 39 [size =\"5617664\"]\n  36 -> 40 [size =\"5617664\"]\n  37 [size=\"14290944\", alpha=\"0.15\", expect_size=\"7145472\"] \n  37 -> 38 [size =\"7145472\"]\n  37 -> 40 [size =\"7145472\"]\n  38 [size=\"73572352\", alpha=\"0.01\", expect_size=\"36786176\"] \n  39 [size=\"67880960\", alpha=\"0.16\", expect_size=\"33940480\"] \n  40 [size=\"79245312\", alpha=\"0.01\", expect_size=\"39622656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94701568\", alpha=\"0.00\", expect_size=\"47350784\"] \n  1 -> 18 [size =\"47350784\"]\n  1 -> 19 [size =\"47350784\"]\n  1 -> 20 [size =\"47350784\"]\n  1 -> 25 [size =\"47350784\"]\n  1 -> 26 [size =\"47350784\"]\n  1 -> 27 [size =\"47350784\"]\n  1 -> 28 [size =\"47350784\"]\n  1 -> 30 [size =\"47350784\"]\n  1 -> 32 [size =\"47350784\"]\n  1 -> 33 [size =\"47350784\"]\n  2 [size=\"22122496\", alpha=\"0.05\", expect_size=\"11061248\"] \n  2 -> 18 [size =\"11061248\"]\n  2 -> 19 [size =\"11061248\"]\n  2 -> 20 [size =\"11061248\"]\n  2 -> 21 [size =\"11061248\"]\n  2 -> 24 [size =\"11061248\"]\n  2 -> 27 [size =\"11061248\"]\n  2 -> 31 [size =\"11061248\"]\n  2 -> 32 [size =\"11061248\"]\n  2 -> 33 [size =\"11061248\"]\n  3 [size=\"38989824\", alpha=\"0.07\", expect_size=\"19494912\"] \n  3 -> 18 [size =\"19494912\"]\n  3 -> 20 [size =\"19494912\"]\n  3 -> 20 [size =\"19494912\"]\n  3 -> 21 [size =\"19494912\"]\n  3 -> 22 [size =\"19494912\"]\n  3 -> 23 [size =\"19494912\"]\n  3 -> 27 [size =\"19494912\"]\n  3 -> 28 [size =\"19494912\"]\n  3 -> 29 [size =\"19494912\"]\n  3 -> 30 [size =\"19494912\"]\n  4 [size=\"81184768\", alpha=\"0.13\", expect_size=\"40592384\"] \n  4 -> 18 [size =\"40592384\"]\n  4 -> 20 [size =\"40592384\"]\n  4 -> 26 [size =\"40592384\"]\n  4 -> 27 [size =\"40592384\"]\n  4 -> 30 [size =\"40592384\"]\n  4 -> 31 [size =\"40592384\"]\n  5 [size=\"69087232\", alpha=\"0.04\", expect_size=\"34543616\"] \n  5 -> 18 [size =\"34543616\"]\n  5 -> 20 [size =\"34543616\"]\n  5 -> 21 [size =\"34543616\"]\n  5 -> 25 [size =\"34543616\"]\n  5 -> 28 [size =\"34543616\"]\n  5 -> 29 [size =\"34543616\"]\n  5 -> 30 [size =\"34543616\"]\n  5 -> 33 [size =\"34543616\"]\n  6 [size=\"74682368\", alpha=\"0.01\", expect_size=\"37341184\"] \n  6 -> 19 [size =\"37341184\"]\n  6 -> 21 [size =\"37341184\"]\n  6 -> 22 [size =\"37341184\"]\n  6 -> 24 [size =\"37341184\"]\n  6 -> 27 [size =\"37341184\"]\n  6 -> 30 [size =\"37341184\"]\n  6 -> 32 [size =\"37341184\"]\n  7 [size=\"49084416\", alpha=\"0.04\", expect_size=\"24542208\"] \n  7 -> 18 [size =\"24542208\"]\n  7 -> 19 [size =\"24542208\"]\n  7 -> 20 [size =\"24542208\"]\n  7 -> 21 [size =\"24542208\"]\n  7 -> 22 [size =\"24542208\"]\n  7 -> 24 [size =\"24542208\"]\n  7 -> 27 [size =\"24542208\"]\n  7 -> 30 [size =\"24542208\"]\n  7 -> 31 [size =\"24542208\"]\n  8 [size=\"58327040\", alpha=\"0.15\", expect_size=\"29163520\"] \n  8 -> 22 [size =\"29163520\"]\n  8 -> 25 [size =\"29163520\"]\n  8 -> 27 [size =\"29163520\"]\n  9 [size=\"91320320\", alpha=\"0.13\", expect_size=\"45660160\"] \n  9 -> 22 [size =\"45660160\"]\n  9 -> 24 [size =\"45660160\"]\n  9 -> 29 [size =\"45660160\"]\n  9 -> 30 [size =\"45660160\"]\n  9 -> 31 [size =\"45660160\"]\n  9 -> 32 [size =\"45660160\"]\n  9 -> 33 [size =\"45660160\"]\n  10 [size=\"80109568\", alpha=\"0.09\", expect_size=\"40054784\"] \n  10 -> 18 [size =\"40054784\"]\n  10 -> 24 [size =\"40054784\"]\n  10 -> 25 [size =\"40054784\"]\n  10 -> 27 [size =\"40054784\"]\n  10 -> 28 [size =\"40054784\"]\n  10 -> 29 [size =\"40054784\"]\n  10 -> 30 [size =\"40054784\"]\n  10 -> 31 [size =\"40054784\"]\n  10 -> 33 [size =\"40054784\"]\n  11 [size=\"72122368\", alpha=\"0.05\", expect_size=\"36061184\"] \n  11 -> 18 [size =\"36061184\"]\n  11 -> 23 [size =\"36061184\"]\n  11 -> 24 [size =\"36061184\"]\n  11 -> 26 [size =\"36061184\"]\n  11 -> 27 [size =\"36061184\"]\n  11 -> 30 [size =\"36061184\"]\n  11 -> 33 [size =\"36061184\"]\n  12 [size=\"72876032\", alpha=\"0.03\", expect_size=\"36438016\"] \n  12 -> 18 [size =\"36438016\"]\n  12 -> 20 [size =\"36438016\"]\n  12 -> 21 [size =\"36438016\"]\n  12 -> 22 [size =\"36438016\"]\n  12 -> 24 [size =\"36438016\"]\n  12 -> 25 [size =\"36438016\"]\n  12 -> 26 [size =\"36438016\"]\n  12 -> 31 [size =\"36438016\"]\n  13 [size=\"97826816\", alpha=\"0.16\", expect_size=\"48913408\"] \n  13 -> 18 [size =\"48913408\"]\n  13 -> 22 [size =\"48913408\"]\n  13 -> 25 [size =\"48913408\"]\n  13 -> 30 [size =\"48913408\"]\n  13 -> 31 [size =\"48913408\"]\n  13 -> 32 [size =\"48913408\"]\n  13 -> 33 [size =\"48913408\"]\n  14 [size=\"38479872\", alpha=\"0.12\", expect_size=\"19239936\"] \n  14 -> 22 [size =\"19239936\"]\n  14 -> 25 [size =\"19239936\"]\n  14 -> 29 [size =\"19239936\"]\n  14 -> 30 [size =\"19239936\"]\n  14 -> 31 [size =\"19239936\"]\n  14 -> 32 [size =\"19239936\"]\n  14 -> 33 [size =\"19239936\"]\n  15 [size=\"99497984\", alpha=\"0.19\", expect_size=\"49748992\"] \n  15 -> 20 [size =\"49748992\"]\n  15 -> 21 [size =\"49748992\"]\n  15 -> 22 [size =\"49748992\"]\n  15 -> 24 [size =\"49748992\"]\n  15 -> 29 [size =\"49748992\"]\n  15 -> 31 [size =\"49748992\"]\n  15 -> 33 [size =\"49748992\"]\n  16 [size=\"22224896\", alpha=\"0.06\", expect_size=\"11112448\"] \n  16 -> 18 [size =\"11112448\"]\n  16 -> 20 [size =\"11112448\"]\n  16 -> 25 [size =\"11112448\"]\n  16 -> 26 [size =\"11112448\"]\n  16 -> 28 [size =\"11112448\"]\n  16 -> 29 [size =\"11112448\"]\n  16 -> 31 [size =\"11112448\"]\n  16 -> 33 [size =\"11112448\"]\n  17 [size=\"27258880\", alpha=\"0.19\", expect_size=\"13629440\"] \n  17 -> 18 [size =\"13629440\"]\n  17 -> 20 [size =\"13629440\"]\n  17 -> 24 [size =\"13629440\"]\n  17 -> 25 [size =\"13629440\"]\n  17 -> 26 [size =\"13629440\"]\n  17 -> 27 [size =\"13629440\"]\n  17 -> 28 [size =\"13629440\"]\n  17 -> 29 [size =\"13629440\"]\n  17 -> 31 [size =\"13629440\"]\n  17 -> 33 [size =\"13629440\"]\n  18 [size=\"48111616\", alpha=\"0.03\", expect_size=\"24055808\"] \n  18 -> 35 [size =\"24055808\"]\n  18 -> 36 [size =\"24055808\"]\n  18 -> 37 [size =\"24055808\"]\n  18 -> 38 [size =\"24055808\"]\n  19 [size=\"26066944\", alpha=\"0.11\", expect_size=\"13033472\"] \n  19 -> 35 [size =\"13033472\"]\n  19 -> 36 [size =\"13033472\"]\n  19 -> 37 [size =\"13033472\"]\n  19 -> 38 [size =\"13033472\"]\n  19 -> 39 [size =\"13033472\"]\n  20 [size=\"88623104\", alpha=\"0.16\", expect_size=\"44311552\"] \n  20 -> 35 [size =\"44311552\"]\n  20 -> 36 [size =\"44311552\"]\n  21 [size=\"37304320\", alpha=\"0.19\", expect_size=\"18652160\"] \n  21 -> 35 [size =\"18652160\"]\n  21 -> 36 [size =\"18652160\"]\n  21 -> 37 [size =\"18652160\"]\n  21 -> 40 [size =\"18652160\"]\n  22 [size=\"61052928\", alpha=\"0.04\", expect_size=\"30526464\"] \n  22 -> 35 [size =\"30526464\"]\n  22 -> 36 [size =\"30526464\"]\n  22 -> 39 [size =\"30526464\"]\n  22 -> 40 [size =\"30526464\"]\n  23 [size=\"73322496\", alpha=\"0.15\", expect_size=\"36661248\"] \n  23 -> 34 [size =\"36661248\"]\n  23 -> 35 [size =\"36661248\"]\n  23 -> 36 [size =\"36661248\"]\n  23 -> 37 [size =\"36661248\"]\n  23 -> 38 [size =\"36661248\"]\n  23 -> 39 [size =\"36661248\"]\n  23 -> 40 [size =\"36661248\"]\n  24 [size=\"54630400\", alpha=\"0.02\", expect_size=\"27315200\"] \n  24 -> 39 [size =\"27315200\"]\n  25 [size=\"16572416\", alpha=\"0.00\", expect_size=\"8286208\"] \n  25 -> 36 [size =\"8286208\"]\n  25 -> 38 [size =\"8286208\"]\n  25 -> 39 [size =\"8286208\"]\n  26 [size=\"104327168\", alpha=\"0.13\", expect_size=\"52163584\"] \n  27 [size=\"37165056\", alpha=\"0.13\", expect_size=\"18582528\"] \n  27 -> 35 [size =\"18582528\"]\n  27 -> 36 [size =\"18582528\"]\n  27 -> 40 [size =\"18582528\"]\n  28 [size=\"32141312\", alpha=\"0.04\", expect_size=\"16070656\"] \n  28 -> 36 [size =\"16070656\"]\n  28 -> 37 [size =\"16070656\"]\n  28 -> 38 [size =\"16070656\"]\n  29 [size=\"47484928\", alpha=\"0.11\", expect_size=\"23742464\"] \n  29 -> 35 [size =\"23742464\"]\n  30 [size=\"101388288\", alpha=\"0.14\", expect_size=\"50694144\"] \n  30 -> 35 [size =\"50694144\"]\n  30 -> 37 [size =\"50694144\"]\n  30 -> 38 [size =\"50694144\"]\n  30 -> 39 [size =\"50694144\"]\n  30 -> 40 [size =\"50694144\"]\n  31 [size=\"83931136\", alpha=\"0.09\", expect_size=\"41965568\"] \n  31 -> 37 [size =\"41965568\"]\n  31 -> 38 [size =\"41965568\"]\n  31 -> 38 [size =\"41965568\"]\n  31 -> 40 [size =\"41965568\"]\n  32 [size=\"79333376\", alpha=\"0.18\", expect_size=\"39666688\"] \n  32 -> 36 [size =\"39666688\"]\n  32 -> 38 [size =\"39666688\"]\n  32 -> 39 [size =\"39666688\"]\n  32 -> 40 [size =\"39666688\"]\n  33 [size=\"99229696\", alpha=\"0.05\", expect_size=\"49614848\"] \n  33 -> 38 [size =\"49614848\"]\n  33 -> 38 [size =\"49614848\"]\n  33 -> 39 [size =\"49614848\"]\n  33 -> 40 [size =\"49614848\"]\n  34 [size=\"77758464\", alpha=\"0.18\", expect_size=\"38879232\"] \n  35 [size=\"85614592\", alpha=\"0.10\", expect_size=\"42807296\"] \n  36 [size=\"87031808\", alpha=\"0.05\", expect_size=\"43515904\"] \n  37 [size=\"51834880\", alpha=\"0.03\", expect_size=\"25917440\"] \n  38 [size=\"18618368\", alpha=\"0.09\", expect_size=\"9309184\"] \n  39 [size=\"35229696\", alpha=\"0.18\", expect_size=\"17614848\"] \n  40 [size=\"88127488\", alpha=\"0.04\", expect_size=\"44063744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31129600\", alpha=\"0.14\", expect_size=\"15564800\"] \n  1 -> 6 [size =\"15564800\"]\n  2 [size=\"77377536\", alpha=\"0.12\", expect_size=\"38688768\"] \n  2 -> 4 [size =\"38688768\"]\n  2 -> 5 [size =\"38688768\"]\n  3 [size=\"102590464\", alpha=\"0.14\", expect_size=\"51295232\"] \n  4 [size=\"29464576\", alpha=\"0.12\", expect_size=\"14732288\"] \n  5 [size=\"39610368\", alpha=\"0.03\", expect_size=\"19805184\"] \n  5 -> 7 [size =\"19805184\"]\n  5 -> 8 [size =\"19805184\"]\n  6 [size=\"98394112\", alpha=\"0.04\", expect_size=\"49197056\"] \n  6 -> 7 [size =\"49197056\"]\n  7 [size=\"67022848\", alpha=\"0.11\", expect_size=\"33511424\"] \n  7 -> 9 [size =\"33511424\"]\n  8 [size=\"17315840\", alpha=\"0.11\", expect_size=\"8657920\"] \n  8 -> 10 [size =\"8657920\"]\n  9 [size=\"35876864\", alpha=\"0.12\", expect_size=\"17938432\"] \n  9 -> 11 [size =\"17938432\"]\n  9 -> 13 [size =\"17938432\"]\n  10 [size=\"26941440\", alpha=\"0.13\", expect_size=\"13470720\"] \n  10 -> 12 [size =\"13470720\"]\n  10 -> 13 [size =\"13470720\"]\n  11 [size=\"93450240\", alpha=\"0.04\", expect_size=\"46725120\"] \n  11 -> 14 [size =\"46725120\"]\n  12 [size=\"64399360\", alpha=\"0.15\", expect_size=\"32199680\"] \n  13 [size=\"24397824\", alpha=\"0.04\", expect_size=\"12198912\"] \n  13 -> 14 [size =\"12198912\"]\n  13 -> 15 [size =\"12198912\"]\n  14 [size=\"89407488\", alpha=\"0.10\", expect_size=\"44703744\"] \n  14 -> 16 [size =\"44703744\"]\n  14 -> 17 [size =\"44703744\"]\n  15 [size=\"52690944\", alpha=\"0.20\", expect_size=\"26345472\"] \n  16 [size=\"68386816\", alpha=\"0.10\", expect_size=\"34193408\"] \n  16 -> 18 [size =\"34193408\"]\n  16 -> 19 [size =\"34193408\"]\n  17 [size=\"87537664\", alpha=\"0.09\", expect_size=\"43768832\"] \n  18 [size=\"45363200\", alpha=\"0.16\", expect_size=\"22681600\"] \n  18 -> 20 [size =\"22681600\"]\n  18 -> 21 [size =\"22681600\"]\n  19 [size=\"95399936\", alpha=\"0.07\", expect_size=\"47699968\"] \n  19 -> 21 [size =\"47699968\"]\n  20 [size=\"56600576\", alpha=\"0.01\", expect_size=\"28300288\"] \n  20 -> 22 [size =\"28300288\"]\n  20 -> 23 [size =\"28300288\"]\n  20 -> 24 [size =\"28300288\"]\n  21 [size=\"22374400\", alpha=\"0.19\", expect_size=\"11187200\"] \n  21 -> 22 [size =\"11187200\"]\n  22 [size=\"42561536\", alpha=\"0.11\", expect_size=\"21280768\"] \n  23 [size=\"18333696\", alpha=\"0.03\", expect_size=\"9166848\"] \n  23 -> 25 [size =\"9166848\"]\n  23 -> 26 [size =\"9166848\"]\n  24 [size=\"39440384\", alpha=\"0.19\", expect_size=\"19720192\"] \n  25 [size=\"85514240\", alpha=\"0.01\", expect_size=\"42757120\"] \n  25 -> 27 [size =\"42757120\"]\n  25 -> 28 [size =\"42757120\"]\n  26 [size=\"83466240\", alpha=\"0.02\", expect_size=\"41733120\"] \n  27 [size=\"35602432\", alpha=\"0.14\", expect_size=\"17801216\"] \n  27 -> 30 [size =\"17801216\"]\n  28 [size=\"79155200\", alpha=\"0.09\", expect_size=\"39577600\"] \n  28 -> 29 [size =\"39577600\"]\n  28 -> 30 [size =\"39577600\"]\n  29 [size=\"61310976\", alpha=\"0.08\", expect_size=\"30655488\"] \n  29 -> 31 [size =\"30655488\"]\n  29 -> 32 [size =\"30655488\"]\n  30 [size=\"95444992\", alpha=\"0.11\", expect_size=\"47722496\"] \n  30 -> 32 [size =\"47722496\"]\n  30 -> 33 [size =\"47722496\"]\n  31 [size=\"100149248\", alpha=\"0.12\", expect_size=\"50074624\"] \n  31 -> 35 [size =\"50074624\"]\n  32 [size=\"96067584\", alpha=\"0.04\", expect_size=\"48033792\"] \n  32 -> 34 [size =\"48033792\"]\n  32 -> 35 [size =\"48033792\"]\n  33 [size=\"55726080\", alpha=\"0.18\", expect_size=\"27863040\"] \n  34 [size=\"71223296\", alpha=\"0.10\", expect_size=\"35611648\"] \n  34 -> 36 [size =\"35611648\"]\n  34 -> 37 [size =\"35611648\"]\n  35 [size=\"67174400\", alpha=\"0.11\", expect_size=\"33587200\"] \n  35 -> 37 [size =\"33587200\"]\n  36 [size=\"72701952\", alpha=\"0.04\", expect_size=\"36350976\"] \n  36 -> 38 [size =\"36350976\"]\n  36 -> 40 [size =\"36350976\"]\n  37 [size=\"81342464\", alpha=\"0.13\", expect_size=\"40671232\"] \n  37 -> 38 [size =\"40671232\"]\n  37 -> 39 [size =\"40671232\"]\n  37 -> 40 [size =\"40671232\"]\n  38 [size=\"55263232\", alpha=\"0.09\", expect_size=\"27631616\"] \n  39 [size=\"95670272\", alpha=\"0.04\", expect_size=\"47835136\"] \n  40 [size=\"39208960\", alpha=\"0.08\", expect_size=\"19604480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16609280\", alpha=\"0.01\", expect_size=\"6643712\"] \n  1 -> 16 [size =\"6643712\"]\n  1 -> 17 [size =\"6643712\"]\n  1 -> 19 [size =\"6643712\"]\n  1 -> 22 [size =\"6643712\"]\n  2 [size=\"78730240\", alpha=\"0.13\", expect_size=\"31492096\"] \n  2 -> 19 [size =\"31492096\"]\n  3 [size=\"96545280\", alpha=\"0.07\", expect_size=\"38618112\"] \n  3 -> 12 [size =\"38618112\"]\n  3 -> 23 [size =\"38618112\"]\n  4 [size=\"130961920\", alpha=\"0.19\", expect_size=\"52384768\"] \n  4 -> 12 [size =\"52384768\"]\n  4 -> 13 [size =\"52384768\"]\n  4 -> 19 [size =\"52384768\"]\n  4 -> 20 [size =\"52384768\"]\n  4 -> 21 [size =\"52384768\"]\n  4 -> 23 [size =\"52384768\"]\n  5 [size=\"19760640\", alpha=\"0.19\", expect_size=\"7904256\"] \n  5 -> 15 [size =\"7904256\"]\n  5 -> 16 [size =\"7904256\"]\n  5 -> 20 [size =\"7904256\"]\n  6 [size=\"13360640\", alpha=\"0.02\", expect_size=\"5344256\"] \n  6 -> 14 [size =\"5344256\"]\n  6 -> 15 [size =\"5344256\"]\n  6 -> 19 [size =\"5344256\"]\n  6 -> 20 [size =\"5344256\"]\n  7 [size=\"68026880\", alpha=\"0.08\", expect_size=\"27210752\"] \n  7 -> 14 [size =\"27210752\"]\n  7 -> 15 [size =\"27210752\"]\n  7 -> 16 [size =\"27210752\"]\n  7 -> 18 [size =\"27210752\"]\n  8 [size=\"87214080\", alpha=\"0.03\", expect_size=\"34885632\"] \n  8 -> 22 [size =\"34885632\"]\n  9 [size=\"45314560\", alpha=\"0.14\", expect_size=\"18125824\"] \n  9 -> 19 [size =\"18125824\"]\n  9 -> 20 [size =\"18125824\"]\n  9 -> 23 [size =\"18125824\"]\n  10 [size=\"76887040\", alpha=\"0.16\", expect_size=\"30754816\"] \n  10 -> 14 [size =\"30754816\"]\n  10 -> 20 [size =\"30754816\"]\n  10 -> 23 [size =\"30754816\"]\n  11 [size=\"97105920\", alpha=\"0.14\", expect_size=\"38842368\"] \n  11 -> 14 [size =\"38842368\"]\n  11 -> 23 [size =\"38842368\"]\n  12 [size=\"104847360\", alpha=\"0.14\", expect_size=\"41938944\"] \n  12 -> 24 [size =\"41938944\"]\n  12 -> 25 [size =\"41938944\"]\n  12 -> 27 [size =\"41938944\"]\n  12 -> 28 [size =\"41938944\"]\n  12 -> 30 [size =\"41938944\"]\n  12 -> 32 [size =\"41938944\"]\n  13 [size=\"62208000\", alpha=\"0.14\", expect_size=\"24883200\"] \n  13 -> 24 [size =\"24883200\"]\n  13 -> 27 [size =\"24883200\"]\n  13 -> 28 [size =\"24883200\"]\n  13 -> 33 [size =\"24883200\"]\n  14 [size=\"103695360\", alpha=\"0.06\", expect_size=\"41478144\"] \n  14 -> 26 [size =\"41478144\"]\n  15 [size=\"98524160\", alpha=\"0.01\", expect_size=\"39409664\"] \n  15 -> 25 [size =\"39409664\"]\n  15 -> 29 [size =\"39409664\"]\n  15 -> 31 [size =\"39409664\"]\n  15 -> 32 [size =\"39409664\"]\n  16 [size=\"92528640\", alpha=\"0.18\", expect_size=\"37011456\"] \n  16 -> 25 [size =\"37011456\"]\n  16 -> 28 [size =\"37011456\"]\n  16 -> 30 [size =\"37011456\"]\n  17 [size=\"106821120\", alpha=\"0.12\", expect_size=\"42728448\"] \n  17 -> 26 [size =\"42728448\"]\n  17 -> 27 [size =\"42728448\"]\n  18 [size=\"38341120\", alpha=\"0.14\", expect_size=\"15336448\"] \n  18 -> 26 [size =\"15336448\"]\n  18 -> 28 [size =\"15336448\"]\n  18 -> 33 [size =\"15336448\"]\n  19 [size=\"53839360\", alpha=\"0.02\", expect_size=\"21535744\"] \n  19 -> 26 [size =\"21535744\"]\n  19 -> 29 [size =\"21535744\"]\n  19 -> 32 [size =\"21535744\"]\n  20 [size=\"17617920\", alpha=\"0.19\", expect_size=\"7047168\"] \n  20 -> 26 [size =\"7047168\"]\n  20 -> 27 [size =\"7047168\"]\n  20 -> 29 [size =\"7047168\"]\n  20 -> 30 [size =\"7047168\"]\n  21 [size=\"113963520\", alpha=\"0.16\", expect_size=\"45585408\"] \n  21 -> 30 [size =\"45585408\"]\n  22 [size=\"79203840\", alpha=\"0.05\", expect_size=\"31681536\"] \n  22 -> 25 [size =\"31681536\"]\n  22 -> 29 [size =\"31681536\"]\n  23 [size=\"42465280\", alpha=\"0.08\", expect_size=\"16986112\"] \n  23 -> 24 [size =\"16986112\"]\n  23 -> 26 [size =\"16986112\"]\n  23 -> 28 [size =\"16986112\"]\n  23 -> 29 [size =\"16986112\"]\n  23 -> 30 [size =\"16986112\"]\n  24 [size=\"125457920\", alpha=\"0.11\", expect_size=\"50183168\"] \n  24 -> 37 [size =\"50183168\"]\n  24 -> 39 [size =\"50183168\"]\n  25 [size=\"44311040\", alpha=\"0.15\", expect_size=\"17724416\"] \n  25 -> 35 [size =\"17724416\"]\n  25 -> 37 [size =\"17724416\"]\n  25 -> 38 [size =\"17724416\"]\n  26 [size=\"49638400\", alpha=\"0.19\", expect_size=\"19855360\"] \n  26 -> 35 [size =\"19855360\"]\n  27 [size=\"35694080\", alpha=\"0.12\", expect_size=\"14277632\"] \n  27 -> 34 [size =\"14277632\"]\n  27 -> 35 [size =\"14277632\"]\n  27 -> 38 [size =\"14277632\"]\n  28 [size=\"104117760\", alpha=\"0.18\", expect_size=\"41647104\"] \n  28 -> 38 [size =\"41647104\"]\n  28 -> 40 [size =\"41647104\"]\n  29 [size=\"66024960\", alpha=\"0.10\", expect_size=\"26409984\"] \n  29 -> 35 [size =\"26409984\"]\n  29 -> 36 [size =\"26409984\"]\n  29 -> 40 [size =\"26409984\"]\n  30 [size=\"76106240\", alpha=\"0.12\", expect_size=\"30442496\"] \n  30 -> 36 [size =\"30442496\"]\n  30 -> 37 [size =\"30442496\"]\n  31 [size=\"68771840\", alpha=\"0.08\", expect_size=\"27508736\"] \n  32 [size=\"47526400\", alpha=\"0.00\", expect_size=\"19010560\"] \n  32 -> 37 [size =\"19010560\"]\n  32 -> 38 [size =\"19010560\"]\n  33 [size=\"77995520\", alpha=\"0.01\", expect_size=\"31198208\"] \n  33 -> 35 [size =\"31198208\"]\n  33 -> 37 [size =\"31198208\"]\n  33 -> 38 [size =\"31198208\"]\n  34 [size=\"125649920\", alpha=\"0.17\", expect_size=\"50259968\"] \n  35 [size=\"72422400\", alpha=\"0.07\", expect_size=\"28968960\"] \n  36 [size=\"42928640\", alpha=\"0.10\", expect_size=\"17171456\"] \n  37 [size=\"37427200\", alpha=\"0.10\", expect_size=\"14970880\"] \n  38 [size=\"110837760\", alpha=\"0.14\", expect_size=\"44335104\"] \n  39 [size=\"101337600\", alpha=\"0.04\", expect_size=\"40535040\"] \n  40 [size=\"41139200\", alpha=\"0.16\", expect_size=\"16455680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117424640\", alpha=\"0.05\", expect_size=\"46969856\"] \n  1 -> 3 [size =\"46969856\"]\n  1 -> 5 [size =\"46969856\"]\n  2 [size=\"53972480\", alpha=\"0.20\", expect_size=\"21588992\"] \n  2 -> 4 [size =\"21588992\"]\n  2 -> 5 [size =\"21588992\"]\n  3 [size=\"41740800\", alpha=\"0.09\", expect_size=\"16696320\"] \n  3 -> 6 [size =\"16696320\"]\n  4 [size=\"118635520\", alpha=\"0.01\", expect_size=\"47454208\"] \n  4 -> 7 [size =\"47454208\"]\n  4 -> 8 [size =\"47454208\"]\n  5 [size=\"18012160\", alpha=\"0.11\", expect_size=\"7204864\"] \n  5 -> 8 [size =\"7204864\"]\n  6 [size=\"65976320\", alpha=\"0.07\", expect_size=\"26390528\"] \n  6 -> 11 [size =\"26390528\"]\n  7 [size=\"34567680\", alpha=\"0.15\", expect_size=\"13827072\"] \n  7 -> 9 [size =\"13827072\"]\n  7 -> 11 [size =\"13827072\"]\n  8 [size=\"15211520\", alpha=\"0.18\", expect_size=\"6084608\"] \n  8 -> 9 [size =\"6084608\"]\n  8 -> 10 [size =\"6084608\"]\n  9 [size=\"86103040\", alpha=\"0.02\", expect_size=\"34441216\"] \n  9 -> 12 [size =\"34441216\"]\n  10 [size=\"68037120\", alpha=\"0.15\", expect_size=\"27214848\"] \n  10 -> 12 [size =\"27214848\"]\n  10 -> 13 [size =\"27214848\"]\n  11 [size=\"21022720\", alpha=\"0.03\", expect_size=\"8409088\"] \n  12 [size=\"53237760\", alpha=\"0.10\", expect_size=\"21295104\"] \n  12 -> 14 [size =\"21295104\"]\n  12 -> 15 [size =\"21295104\"]\n  12 -> 16 [size =\"21295104\"]\n  13 [size=\"52659200\", alpha=\"0.18\", expect_size=\"21063680\"] \n  13 -> 14 [size =\"21063680\"]\n  13 -> 15 [size =\"21063680\"]\n  13 -> 16 [size =\"21063680\"]\n  14 [size=\"106542080\", alpha=\"0.10\", expect_size=\"42616832\"] \n  15 [size=\"110773760\", alpha=\"0.19\", expect_size=\"44309504\"] \n  15 -> 18 [size =\"44309504\"]\n  15 -> 19 [size =\"44309504\"]\n  16 [size=\"58746880\", alpha=\"0.19\", expect_size=\"23498752\"] \n  16 -> 17 [size =\"23498752\"]\n  16 -> 18 [size =\"23498752\"]\n  16 -> 19 [size =\"23498752\"]\n  17 [size=\"98058240\", alpha=\"0.14\", expect_size=\"39223296\"] \n  17 -> 20 [size =\"39223296\"]\n  17 -> 21 [size =\"39223296\"]\n  18 [size=\"66908160\", alpha=\"0.06\", expect_size=\"26763264\"] \n  18 -> 20 [size =\"26763264\"]\n  19 [size=\"53706240\", alpha=\"0.03\", expect_size=\"21482496\"] \n  20 [size=\"67998720\", alpha=\"0.14\", expect_size=\"27199488\"] \n  20 -> 22 [size =\"27199488\"]\n  20 -> 24 [size =\"27199488\"]\n  21 [size=\"36367360\", alpha=\"0.03\", expect_size=\"14546944\"] \n  21 -> 23 [size =\"14546944\"]\n  21 -> 24 [size =\"14546944\"]\n  22 [size=\"55362560\", alpha=\"0.19\", expect_size=\"22145024\"] \n  23 [size=\"114129920\", alpha=\"0.19\", expect_size=\"45651968\"] \n  23 -> 25 [size =\"45651968\"]\n  23 -> 26 [size =\"45651968\"]\n  24 [size=\"100295680\", alpha=\"0.17\", expect_size=\"40118272\"] \n  24 -> 25 [size =\"40118272\"]\n  24 -> 26 [size =\"40118272\"]\n  25 [size=\"39598080\", alpha=\"0.17\", expect_size=\"15839232\"] \n  25 -> 28 [size =\"15839232\"]\n  26 [size=\"35166720\", alpha=\"0.05\", expect_size=\"14066688\"] \n  26 -> 27 [size =\"14066688\"]\n  27 [size=\"26588160\", alpha=\"0.16\", expect_size=\"10635264\"] \n  28 [size=\"110100480\", alpha=\"0.09\", expect_size=\"44040192\"] \n  28 -> 29 [size =\"44040192\"]\n  28 -> 30 [size =\"44040192\"]\n  28 -> 31 [size =\"44040192\"]\n  29 [size=\"25320960\", alpha=\"0.13\", expect_size=\"10128384\"] \n  29 -> 32 [size =\"10128384\"]\n  29 -> 34 [size =\"10128384\"]\n  30 [size=\"45222400\", alpha=\"0.07\", expect_size=\"18088960\"] \n  31 [size=\"129889280\", alpha=\"0.02\", expect_size=\"51955712\"] \n  31 -> 33 [size =\"51955712\"]\n  31 -> 34 [size =\"51955712\"]\n  32 [size=\"29744640\", alpha=\"0.04\", expect_size=\"11897856\"] \n  32 -> 35 [size =\"11897856\"]\n  32 -> 36 [size =\"11897856\"]\n  33 [size=\"21585920\", alpha=\"0.13\", expect_size=\"8634368\"] \n  33 -> 35 [size =\"8634368\"]\n  33 -> 36 [size =\"8634368\"]\n  33 -> 37 [size =\"8634368\"]\n  34 [size=\"16084480\", alpha=\"0.17\", expect_size=\"6433792\"] \n  34 -> 37 [size =\"6433792\"]\n  35 [size=\"118766080\", alpha=\"0.18\", expect_size=\"47506432\"] \n  36 [size=\"98611200\", alpha=\"0.07\", expect_size=\"39444480\"] \n  36 -> 38 [size =\"39444480\"]\n  36 -> 39 [size =\"39444480\"]\n  37 [size=\"126453760\", alpha=\"0.10\", expect_size=\"50581504\"] \n  37 -> 40 [size =\"50581504\"]\n  38 [size=\"105792000\", alpha=\"0.03\", expect_size=\"42316800\"] \n  39 [size=\"38730240\", alpha=\"0.02\", expect_size=\"15492096\"] \n  40 [size=\"116231680\", alpha=\"0.10\", expect_size=\"46492672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52881920\", alpha=\"0.14\", expect_size=\"21152768\"] \n  1 -> 2 [size =\"21152768\"]\n  2 [size=\"48995840\", alpha=\"0.16\", expect_size=\"19598336\"] \n  2 -> 3 [size =\"19598336\"]\n  3 [size=\"26219520\", alpha=\"0.02\", expect_size=\"10487808\"] \n  3 -> 4 [size =\"10487808\"]\n  4 [size=\"54174720\", alpha=\"0.15\", expect_size=\"21669888\"] \n  4 -> 5 [size =\"21669888\"]\n  5 [size=\"96202240\", alpha=\"0.09\", expect_size=\"38480896\"] \n  5 -> 6 [size =\"38480896\"]\n  6 [size=\"79685120\", alpha=\"0.08\", expect_size=\"31874048\"] \n  6 -> 7 [size =\"31874048\"]\n  7 [size=\"72627200\", alpha=\"0.12\", expect_size=\"29050880\"] \n  7 -> 8 [size =\"29050880\"]\n  8 [size=\"35996160\", alpha=\"0.18\", expect_size=\"14398464\"] \n  8 -> 9 [size =\"14398464\"]\n  9 [size=\"39595520\", alpha=\"0.20\", expect_size=\"15838208\"] \n  9 -> 10 [size =\"15838208\"]\n  10 [size=\"76221440\", alpha=\"0.06\", expect_size=\"30488576\"] \n  10 -> 11 [size =\"30488576\"]\n  11 [size=\"79226880\", alpha=\"0.18\", expect_size=\"31690752\"] \n  11 -> 12 [size =\"31690752\"]\n  12 [size=\"43816960\", alpha=\"0.14\", expect_size=\"17526784\"] \n  12 -> 13 [size =\"17526784\"]\n  13 [size=\"18928640\", alpha=\"0.15\", expect_size=\"7571456\"] \n  13 -> 14 [size =\"7571456\"]\n  14 [size=\"30279680\", alpha=\"0.11\", expect_size=\"12111872\"] \n  14 -> 15 [size =\"12111872\"]\n  15 [size=\"117903360\", alpha=\"0.12\", expect_size=\"47161344\"] \n  15 -> 16 [size =\"47161344\"]\n  16 [size=\"53022720\", alpha=\"0.14\", expect_size=\"21209088\"] \n  16 -> 17 [size =\"21209088\"]\n  17 [size=\"102010880\", alpha=\"0.00\", expect_size=\"40804352\"] \n  17 -> 18 [size =\"40804352\"]\n  18 [size=\"56448000\", alpha=\"0.04\", expect_size=\"22579200\"] \n  18 -> 19 [size =\"22579200\"]\n  19 [size=\"46428160\", alpha=\"0.14\", expect_size=\"18571264\"] \n  19 -> 20 [size =\"18571264\"]\n  20 [size=\"45219840\", alpha=\"0.11\", expect_size=\"18087936\"] \n  20 -> 21 [size =\"18087936\"]\n  21 [size=\"81774080\", alpha=\"0.15\", expect_size=\"32709632\"] \n  21 -> 22 [size =\"32709632\"]\n  22 [size=\"68288000\", alpha=\"0.05\", expect_size=\"27315200\"] \n  22 -> 23 [size =\"27315200\"]\n  23 [size=\"30545920\", alpha=\"0.17\", expect_size=\"12218368\"] \n  23 -> 24 [size =\"12218368\"]\n  24 [size=\"121589760\", alpha=\"0.16\", expect_size=\"48635904\"] \n  24 -> 25 [size =\"48635904\"]\n  25 [size=\"66165760\", alpha=\"0.10\", expect_size=\"26466304\"] \n  25 -> 26 [size =\"26466304\"]\n  26 [size=\"17272320\", alpha=\"0.14\", expect_size=\"6908928\"] \n  26 -> 27 [size =\"6908928\"]\n  27 [size=\"101038080\", alpha=\"0.09\", expect_size=\"40415232\"] \n  27 -> 28 [size =\"40415232\"]\n  28 [size=\"101716480\", alpha=\"0.07\", expect_size=\"40686592\"] \n  28 -> 29 [size =\"40686592\"]\n  29 [size=\"122785280\", alpha=\"0.10\", expect_size=\"49114112\"] \n  29 -> 30 [size =\"49114112\"]\n  30 [size=\"85777920\", alpha=\"0.04\", expect_size=\"34311168\"] \n  30 -> 31 [size =\"34311168\"]\n  31 [size=\"32166400\", alpha=\"0.09\", expect_size=\"12866560\"] \n  31 -> 32 [size =\"12866560\"]\n  32 [size=\"119692800\", alpha=\"0.19\", expect_size=\"47877120\"] \n  32 -> 33 [size =\"47877120\"]\n  33 [size=\"30348800\", alpha=\"0.10\", expect_size=\"12139520\"] \n  33 -> 34 [size =\"12139520\"]\n  34 [size=\"13181440\", alpha=\"0.04\", expect_size=\"5272576\"] \n  34 -> 35 [size =\"5272576\"]\n  35 [size=\"109258240\", alpha=\"0.16\", expect_size=\"43703296\"] \n  35 -> 36 [size =\"43703296\"]\n  36 [size=\"47782400\", alpha=\"0.15\", expect_size=\"19112960\"] \n  36 -> 37 [size =\"19112960\"]\n  37 [size=\"13301760\", alpha=\"0.09\", expect_size=\"5320704\"] \n  37 -> 38 [size =\"5320704\"]\n  38 [size=\"65333760\", alpha=\"0.10\", expect_size=\"26133504\"] \n  38 -> 39 [size =\"26133504\"]\n  39 [size=\"108805120\", alpha=\"0.16\", expect_size=\"43522048\"] \n  39 -> 40 [size =\"43522048\"]\n  40 [size=\"52244480\", alpha=\"0.08\", expect_size=\"20897792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131519147\", alpha=\"0.07\", expect_size=\"39455744\"] \n  1 -> 2 [size =\"39455744\"]\n  2 [size=\"94037333\", alpha=\"0.09\", expect_size=\"28211200\"] \n  2 -> 3 [size =\"28211200\"]\n  3 [size=\"49510400\", alpha=\"0.15\", expect_size=\"14853120\"] \n  3 -> 4 [size =\"14853120\"]\n  4 [size=\"145879040\", alpha=\"0.01\", expect_size=\"43763712\"] \n  4 -> 5 [size =\"43763712\"]\n  5 [size=\"138369707\", alpha=\"0.10\", expect_size=\"41510912\"] \n  5 -> 6 [size =\"41510912\"]\n  6 [size=\"28999680\", alpha=\"0.17\", expect_size=\"8699904\"] \n  6 -> 7 [size =\"8699904\"]\n  7 [size=\"157061120\", alpha=\"0.13\", expect_size=\"47118336\"] \n  7 -> 8 [size =\"47118336\"]\n  8 [size=\"141578240\", alpha=\"0.08\", expect_size=\"42473472\"] \n  8 -> 9 [size =\"42473472\"]\n  9 [size=\"38434133\", alpha=\"0.05\", expect_size=\"11530240\"] \n  9 -> 10 [size =\"11530240\"]\n  10 [size=\"48107520\", alpha=\"0.19\", expect_size=\"14432256\"] \n  10 -> 11 [size =\"14432256\"]\n  11 [size=\"108219733\", alpha=\"0.08\", expect_size=\"32465920\"] \n  11 -> 12 [size =\"32465920\"]\n  12 [size=\"167038293\", alpha=\"0.04\", expect_size=\"50111488\"] \n  12 -> 13 [size =\"50111488\"]\n  13 [size=\"78738773\", alpha=\"0.02\", expect_size=\"23621632\"] \n  13 -> 14 [size =\"23621632\"]\n  14 [size=\"41762133\", alpha=\"0.10\", expect_size=\"12528640\"] \n  14 -> 15 [size =\"12528640\"]\n  15 [size=\"48793600\", alpha=\"0.02\", expect_size=\"14638080\"] \n  15 -> 16 [size =\"14638080\"]\n  16 [size=\"124303360\", alpha=\"0.13\", expect_size=\"37291008\"] \n  16 -> 17 [size =\"37291008\"]\n  17 [size=\"100355413\", alpha=\"0.02\", expect_size=\"30106624\"] \n  17 -> 18 [size =\"30106624\"]\n  18 [size=\"45769387\", alpha=\"0.15\", expect_size=\"13730816\"] \n  18 -> 19 [size =\"13730816\"]\n  19 [size=\"105925973\", alpha=\"0.06\", expect_size=\"31777792\"] \n  19 -> 20 [size =\"31777792\"]\n  20 [size=\"144913067\", alpha=\"0.18\", expect_size=\"43473920\"] \n  20 -> 21 [size =\"43473920\"]\n  21 [size=\"135775573\", alpha=\"0.04\", expect_size=\"40732672\"] \n  21 -> 22 [size =\"40732672\"]\n  22 [size=\"41786027\", alpha=\"0.00\", expect_size=\"12535808\"] \n  22 -> 23 [size =\"12535808\"]\n  23 [size=\"69352107\", alpha=\"0.01\", expect_size=\"20805632\"] \n  23 -> 24 [size =\"20805632\"]\n  24 [size=\"84596053\", alpha=\"0.17\", expect_size=\"25378816\"] \n  24 -> 25 [size =\"25378816\"]\n  25 [size=\"162447360\", alpha=\"0.09\", expect_size=\"48734208\"] \n  25 -> 26 [size =\"48734208\"]\n  26 [size=\"17575253\", alpha=\"0.03\", expect_size=\"5272576\"] \n  26 -> 27 [size =\"5272576\"]\n  27 [size=\"123118933\", alpha=\"0.14\", expect_size=\"36935680\"] \n  27 -> 28 [size =\"36935680\"]\n  28 [size=\"138199040\", alpha=\"0.01\", expect_size=\"41459712\"] \n  28 -> 29 [size =\"41459712\"]\n  29 [size=\"102338560\", alpha=\"0.10\", expect_size=\"30701568\"] \n  29 -> 30 [size =\"30701568\"]\n  30 [size=\"148302507\", alpha=\"0.04\", expect_size=\"44490752\"] \n  30 -> 31 [size =\"44490752\"]\n  31 [size=\"130908160\", alpha=\"0.09\", expect_size=\"39272448\"] \n  31 -> 32 [size =\"39272448\"]\n  32 [size=\"164205227\", alpha=\"0.13\", expect_size=\"49261568\"] \n  32 -> 33 [size =\"49261568\"]\n  33 [size=\"167464960\", alpha=\"0.05\", expect_size=\"50239488\"] \n  33 -> 34 [size =\"50239488\"]\n  34 [size=\"172721493\", alpha=\"0.20\", expect_size=\"51816448\"] \n  34 -> 35 [size =\"51816448\"]\n  35 [size=\"151098027\", alpha=\"0.19\", expect_size=\"45329408\"] \n  35 -> 36 [size =\"45329408\"]\n  36 [size=\"66194773\", alpha=\"0.11\", expect_size=\"19858432\"] \n  36 -> 37 [size =\"19858432\"]\n  37 [size=\"86828373\", alpha=\"0.14\", expect_size=\"26048512\"] \n  37 -> 38 [size =\"26048512\"]\n  38 [size=\"38014293\", alpha=\"0.01\", expect_size=\"11404288\"] \n  38 -> 39 [size =\"11404288\"]\n  39 [size=\"43854507\", alpha=\"0.19\", expect_size=\"13156352\"] \n  39 -> 40 [size =\"13156352\"]\n  40 [size=\"125306880\", alpha=\"0.13\", expect_size=\"37592064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121866240\", alpha=\"0.16\", expect_size=\"48746496\"] \n  1 -> 7 [size =\"48746496\"]\n  1 -> 9 [size =\"48746496\"]\n  1 -> 10 [size =\"48746496\"]\n  1 -> 11 [size =\"48746496\"]\n  2 [size=\"106214400\", alpha=\"0.01\", expect_size=\"42485760\"] \n  2 -> 7 [size =\"42485760\"]\n  2 -> 8 [size =\"42485760\"]\n  2 -> 10 [size =\"42485760\"]\n  2 -> 11 [size =\"42485760\"]\n  3 [size=\"62694400\", alpha=\"0.13\", expect_size=\"25077760\"] \n  3 -> 7 [size =\"25077760\"]\n  3 -> 8 [size =\"25077760\"]\n  3 -> 10 [size =\"25077760\"]\n  3 -> 11 [size =\"25077760\"]\n  4 [size=\"74140160\", alpha=\"0.00\", expect_size=\"29656064\"] \n  4 -> 7 [size =\"29656064\"]\n  4 -> 8 [size =\"29656064\"]\n  4 -> 9 [size =\"29656064\"]\n  4 -> 10 [size =\"29656064\"]\n  5 [size=\"49228800\", alpha=\"0.01\", expect_size=\"19691520\"] \n  5 -> 7 [size =\"19691520\"]\n  5 -> 8 [size =\"19691520\"]\n  5 -> 11 [size =\"19691520\"]\n  6 [size=\"24760320\", alpha=\"0.05\", expect_size=\"9904128\"] \n  6 -> 7 [size =\"9904128\"]\n  6 -> 8 [size =\"9904128\"]\n  6 -> 10 [size =\"9904128\"]\n  6 -> 11 [size =\"9904128\"]\n  7 [size=\"128120320\", alpha=\"0.04\", expect_size=\"51248128\"] \n  7 -> 12 [size =\"51248128\"]\n  7 -> 14 [size =\"51248128\"]\n  7 -> 16 [size =\"51248128\"]\n  7 -> 16 [size =\"51248128\"]\n  8 [size=\"16337920\", alpha=\"0.03\", expect_size=\"6535168\"] \n  8 -> 14 [size =\"6535168\"]\n  9 [size=\"91430400\", alpha=\"0.04\", expect_size=\"36572160\"] \n  9 -> 12 [size =\"36572160\"]\n  9 -> 14 [size =\"36572160\"]\n  9 -> 15 [size =\"36572160\"]\n  9 -> 16 [size =\"36572160\"]\n  10 [size=\"60116480\", alpha=\"0.17\", expect_size=\"24046592\"] \n  10 -> 12 [size =\"24046592\"]\n  10 -> 13 [size =\"24046592\"]\n  10 -> 15 [size =\"24046592\"]\n  10 -> 16 [size =\"24046592\"]\n  11 [size=\"54996480\", alpha=\"0.06\", expect_size=\"21998592\"] \n  11 -> 12 [size =\"21998592\"]\n  11 -> 15 [size =\"21998592\"]\n  11 -> 15 [size =\"21998592\"]\n  11 -> 16 [size =\"21998592\"]\n  12 [size=\"33689600\", alpha=\"0.12\", expect_size=\"13475840\"] \n  12 -> 18 [size =\"13475840\"]\n  12 -> 19 [size =\"13475840\"]\n  12 -> 20 [size =\"13475840\"]\n  12 -> 21 [size =\"13475840\"]\n  12 -> 22 [size =\"13475840\"]\n  12 -> 22 [size =\"13475840\"]\n  13 [size=\"41538560\", alpha=\"0.03\", expect_size=\"16615424\"] \n  13 -> 18 [size =\"16615424\"]\n  13 -> 19 [size =\"16615424\"]\n  13 -> 20 [size =\"16615424\"]\n  13 -> 21 [size =\"16615424\"]\n  14 [size=\"116887040\", alpha=\"0.00\", expect_size=\"46754816\"] \n  14 -> 18 [size =\"46754816\"]\n  14 -> 21 [size =\"46754816\"]\n  15 [size=\"117148160\", alpha=\"0.09\", expect_size=\"46859264\"] \n  15 -> 17 [size =\"46859264\"]\n  15 -> 18 [size =\"46859264\"]\n  15 -> 19 [size =\"46859264\"]\n  15 -> 20 [size =\"46859264\"]\n  15 -> 21 [size =\"46859264\"]\n  15 -> 22 [size =\"46859264\"]\n  16 [size=\"124746240\", alpha=\"0.13\", expect_size=\"49898496\"] \n  16 -> 18 [size =\"49898496\"]\n  16 -> 19 [size =\"49898496\"]\n  16 -> 19 [size =\"49898496\"]\n  16 -> 20 [size =\"49898496\"]\n  16 -> 21 [size =\"49898496\"]\n  16 -> 22 [size =\"49898496\"]\n  17 [size=\"38430720\", alpha=\"0.08\", expect_size=\"15372288\"] \n  17 -> 23 [size =\"15372288\"]\n  17 -> 24 [size =\"15372288\"]\n  17 -> 25 [size =\"15372288\"]\n  18 [size=\"63262720\", alpha=\"0.17\", expect_size=\"25305088\"] \n  18 -> 24 [size =\"25305088\"]\n  18 -> 24 [size =\"25305088\"]\n  18 -> 25 [size =\"25305088\"]\n  18 -> 28 [size =\"25305088\"]\n  19 [size=\"79784960\", alpha=\"0.11\", expect_size=\"31913984\"] \n  19 -> 23 [size =\"31913984\"]\n  19 -> 24 [size =\"31913984\"]\n  19 -> 25 [size =\"31913984\"]\n  20 [size=\"102123520\", alpha=\"0.15\", expect_size=\"40849408\"] \n  20 -> 23 [size =\"40849408\"]\n  20 -> 26 [size =\"40849408\"]\n  20 -> 28 [size =\"40849408\"]\n  21 [size=\"84428800\", alpha=\"0.18\", expect_size=\"33771520\"] \n  21 -> 23 [size =\"33771520\"]\n  21 -> 25 [size =\"33771520\"]\n  21 -> 26 [size =\"33771520\"]\n  21 -> 27 [size =\"33771520\"]\n  21 -> 28 [size =\"33771520\"]\n  22 [size=\"117911040\", alpha=\"0.16\", expect_size=\"47164416\"] \n  22 -> 24 [size =\"47164416\"]\n  22 -> 25 [size =\"47164416\"]\n  22 -> 28 [size =\"47164416\"]\n  23 [size=\"70983680\", alpha=\"0.03\", expect_size=\"28393472\"] \n  23 -> 29 [size =\"28393472\"]\n  23 -> 31 [size =\"28393472\"]\n  23 -> 33 [size =\"28393472\"]\n  24 [size=\"89098240\", alpha=\"0.20\", expect_size=\"35639296\"] \n  24 -> 30 [size =\"35639296\"]\n  24 -> 31 [size =\"35639296\"]\n  24 -> 32 [size =\"35639296\"]\n  24 -> 34 [size =\"35639296\"]\n  25 [size=\"90606080\", alpha=\"0.03\", expect_size=\"36242432\"] \n  25 -> 31 [size =\"36242432\"]\n  25 -> 31 [size =\"36242432\"]\n  25 -> 32 [size =\"36242432\"]\n  25 -> 33 [size =\"36242432\"]\n  25 -> 34 [size =\"36242432\"]\n  26 [size=\"24878080\", alpha=\"0.08\", expect_size=\"9951232\"] \n  26 -> 30 [size =\"9951232\"]\n  26 -> 31 [size =\"9951232\"]\n  26 -> 32 [size =\"9951232\"]\n  26 -> 33 [size =\"9951232\"]\n  26 -> 34 [size =\"9951232\"]\n  27 [size=\"98880000\", alpha=\"0.13\", expect_size=\"39552000\"] \n  27 -> 29 [size =\"39552000\"]\n  27 -> 34 [size =\"39552000\"]\n  28 [size=\"30814720\", alpha=\"0.18\", expect_size=\"12325888\"] \n  28 -> 29 [size =\"12325888\"]\n  28 -> 31 [size =\"12325888\"]\n  28 -> 32 [size =\"12325888\"]\n  28 -> 34 [size =\"12325888\"]\n  29 [size=\"15045120\", alpha=\"0.16\", expect_size=\"6018048\"] \n  29 -> 35 [size =\"6018048\"]\n  29 -> 38 [size =\"6018048\"]\n  29 -> 39 [size =\"6018048\"]\n  30 [size=\"81397760\", alpha=\"0.03\", expect_size=\"32559104\"] \n  30 -> 35 [size =\"32559104\"]\n  30 -> 36 [size =\"32559104\"]\n  30 -> 39 [size =\"32559104\"]\n  31 [size=\"53711360\", alpha=\"0.16\", expect_size=\"21484544\"] \n  31 -> 35 [size =\"21484544\"]\n  31 -> 38 [size =\"21484544\"]\n  31 -> 39 [size =\"21484544\"]\n  32 [size=\"40750080\", alpha=\"0.13\", expect_size=\"16300032\"] \n  32 -> 36 [size =\"16300032\"]\n  32 -> 38 [size =\"16300032\"]\n  32 -> 40 [size =\"16300032\"]\n  33 [size=\"17658880\", alpha=\"0.15\", expect_size=\"7063552\"] \n  33 -> 35 [size =\"7063552\"]\n  33 -> 37 [size =\"7063552\"]\n  33 -> 39 [size =\"7063552\"]\n  34 [size=\"34024960\", alpha=\"0.15\", expect_size=\"13609984\"] \n  34 -> 35 [size =\"13609984\"]\n  34 -> 39 [size =\"13609984\"]\n  34 -> 40 [size =\"13609984\"]\n  35 [size=\"32913920\", alpha=\"0.12\", expect_size=\"13165568\"] \n  36 [size=\"50455040\", alpha=\"0.08\", expect_size=\"20182016\"] \n  37 [size=\"98298880\", alpha=\"0.08\", expect_size=\"39319552\"] \n  38 [size=\"55534080\", alpha=\"0.17\", expect_size=\"22213632\"] \n  39 [size=\"43353600\", alpha=\"0.17\", expect_size=\"17341440\"] \n  40 [size=\"22115840\", alpha=\"0.12\", expect_size=\"8846336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21692416\", alpha=\"0.06\", expect_size=\"10846208\"] \n  1 -> 2 [size =\"10846208\"]\n  2 [size=\"103972864\", alpha=\"0.17\", expect_size=\"51986432\"] \n  2 -> 3 [size =\"51986432\"]\n  3 [size=\"62562304\", alpha=\"0.15\", expect_size=\"31281152\"] \n  3 -> 4 [size =\"31281152\"]\n  4 [size=\"99592192\", alpha=\"0.06\", expect_size=\"49796096\"] \n  4 -> 5 [size =\"49796096\"]\n  5 [size=\"69130240\", alpha=\"0.15\", expect_size=\"34565120\"] \n  5 -> 6 [size =\"34565120\"]\n  6 [size=\"43874304\", alpha=\"0.09\", expect_size=\"21937152\"] \n  6 -> 7 [size =\"21937152\"]\n  7 [size=\"53972992\", alpha=\"0.11\", expect_size=\"26986496\"] \n  7 -> 8 [size =\"26986496\"]\n  8 [size=\"42469376\", alpha=\"0.14\", expect_size=\"21234688\"] \n  8 -> 9 [size =\"21234688\"]\n  9 [size=\"45596672\", alpha=\"0.04\", expect_size=\"22798336\"] \n  9 -> 10 [size =\"22798336\"]\n  10 [size=\"58408960\", alpha=\"0.05\", expect_size=\"29204480\"] \n  10 -> 11 [size =\"29204480\"]\n  11 [size=\"75472896\", alpha=\"0.12\", expect_size=\"37736448\"] \n  11 -> 12 [size =\"37736448\"]\n  12 [size=\"11589632\", alpha=\"0.09\", expect_size=\"5794816\"] \n  12 -> 13 [size =\"5794816\"]\n  13 [size=\"92522496\", alpha=\"0.04\", expect_size=\"46261248\"] \n  13 -> 14 [size =\"46261248\"]\n  14 [size=\"68468736\", alpha=\"0.01\", expect_size=\"34234368\"] \n  14 -> 15 [size =\"34234368\"]\n  15 [size=\"98605056\", alpha=\"0.19\", expect_size=\"49302528\"] \n  15 -> 16 [size =\"49302528\"]\n  16 [size=\"74567680\", alpha=\"0.06\", expect_size=\"37283840\"] \n  16 -> 17 [size =\"37283840\"]\n  17 [size=\"23549952\", alpha=\"0.16\", expect_size=\"11774976\"] \n  17 -> 18 [size =\"11774976\"]\n  18 [size=\"73469952\", alpha=\"0.09\", expect_size=\"36734976\"] \n  18 -> 19 [size =\"36734976\"]\n  19 [size=\"43005952\", alpha=\"0.10\", expect_size=\"21502976\"] \n  19 -> 20 [size =\"21502976\"]\n  20 [size=\"61874176\", alpha=\"0.13\", expect_size=\"30937088\"] \n  20 -> 21 [size =\"30937088\"]\n  21 [size=\"84004864\", alpha=\"0.19\", expect_size=\"42002432\"] \n  21 -> 22 [size =\"42002432\"]\n  22 [size=\"44113920\", alpha=\"0.05\", expect_size=\"22056960\"] \n  22 -> 23 [size =\"22056960\"]\n  23 [size=\"86042624\", alpha=\"0.02\", expect_size=\"43021312\"] \n  23 -> 24 [size =\"43021312\"]\n  24 [size=\"104206336\", alpha=\"0.18\", expect_size=\"52103168\"] \n  24 -> 25 [size =\"52103168\"]\n  25 [size=\"16601088\", alpha=\"0.06\", expect_size=\"8300544\"] \n  25 -> 26 [size =\"8300544\"]\n  26 [size=\"12560384\", alpha=\"0.01\", expect_size=\"6280192\"] \n  26 -> 27 [size =\"6280192\"]\n  27 [size=\"38883328\", alpha=\"0.06\", expect_size=\"19441664\"] \n  27 -> 28 [size =\"19441664\"]\n  28 [size=\"21604352\", alpha=\"0.17\", expect_size=\"10802176\"] \n  28 -> 29 [size =\"10802176\"]\n  29 [size=\"61777920\", alpha=\"0.16\", expect_size=\"30888960\"] \n  29 -> 30 [size =\"30888960\"]\n  30 [size=\"12863488\", alpha=\"0.05\", expect_size=\"6431744\"] \n  30 -> 31 [size =\"6431744\"]\n  31 [size=\"75663360\", alpha=\"0.07\", expect_size=\"37831680\"] \n  31 -> 32 [size =\"37831680\"]\n  32 [size=\"72638464\", alpha=\"0.10\", expect_size=\"36319232\"] \n  32 -> 33 [size =\"36319232\"]\n  33 [size=\"97277952\", alpha=\"0.11\", expect_size=\"48638976\"] \n  33 -> 34 [size =\"48638976\"]\n  34 [size=\"12914688\", alpha=\"0.03\", expect_size=\"6457344\"] \n  34 -> 35 [size =\"6457344\"]\n  35 [size=\"97400832\", alpha=\"0.14\", expect_size=\"48700416\"] \n  35 -> 36 [size =\"48700416\"]\n  36 [size=\"31891456\", alpha=\"0.19\", expect_size=\"15945728\"] \n  36 -> 37 [size =\"15945728\"]\n  37 [size=\"38522880\", alpha=\"0.07\", expect_size=\"19261440\"] \n  37 -> 38 [size =\"19261440\"]\n  38 [size=\"66406400\", alpha=\"0.08\", expect_size=\"33203200\"] \n  38 -> 39 [size =\"33203200\"]\n  39 [size=\"53159936\", alpha=\"0.16\", expect_size=\"26579968\"] \n  39 -> 40 [size =\"26579968\"]\n  40 [size=\"33890304\", alpha=\"0.14\", expect_size=\"16945152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20873216\", alpha=\"0.18\", expect_size=\"10436608\"] \n  1 -> 8 [size =\"10436608\"]\n  1 -> 10 [size =\"10436608\"]\n  2 [size=\"14559232\", alpha=\"0.06\", expect_size=\"7279616\"] \n  2 -> 6 [size =\"7279616\"]\n  2 -> 8 [size =\"7279616\"]\n  2 -> 9 [size =\"7279616\"]\n  2 -> 11 [size =\"7279616\"]\n  3 [size=\"14020608\", alpha=\"0.12\", expect_size=\"7010304\"] \n  3 -> 6 [size =\"7010304\"]\n  3 -> 7 [size =\"7010304\"]\n  3 -> 10 [size =\"7010304\"]\n  3 -> 11 [size =\"7010304\"]\n  4 [size=\"90722304\", alpha=\"0.11\", expect_size=\"45361152\"] \n  4 -> 6 [size =\"45361152\"]\n  4 -> 8 [size =\"45361152\"]\n  4 -> 10 [size =\"45361152\"]\n  5 [size=\"19304448\", alpha=\"0.08\", expect_size=\"9652224\"] \n  5 -> 8 [size =\"9652224\"]\n  5 -> 9 [size =\"9652224\"]\n  5 -> 10 [size =\"9652224\"]\n  5 -> 11 [size =\"9652224\"]\n  6 [size=\"27387904\", alpha=\"0.02\", expect_size=\"13693952\"] \n  6 -> 13 [size =\"13693952\"]\n  6 -> 14 [size =\"13693952\"]\n  6 -> 16 [size =\"13693952\"]\n  6 -> 17 [size =\"13693952\"]\n  7 [size=\"17967104\", alpha=\"0.13\", expect_size=\"8983552\"] \n  7 -> 16 [size =\"8983552\"]\n  8 [size=\"16418816\", alpha=\"0.18\", expect_size=\"8209408\"] \n  8 -> 15 [size =\"8209408\"]\n  9 [size=\"83644416\", alpha=\"0.01\", expect_size=\"41822208\"] \n  9 -> 12 [size =\"41822208\"]\n  9 -> 13 [size =\"41822208\"]\n  9 -> 15 [size =\"41822208\"]\n  10 [size=\"54904832\", alpha=\"0.01\", expect_size=\"27452416\"] \n  10 -> 12 [size =\"27452416\"]\n  11 [size=\"29071360\", alpha=\"0.16\", expect_size=\"14535680\"] \n  11 -> 12 [size =\"14535680\"]\n  12 [size=\"18479104\", alpha=\"0.04\", expect_size=\"9239552\"] \n  12 -> 19 [size =\"9239552\"]\n  12 -> 20 [size =\"9239552\"]\n  12 -> 21 [size =\"9239552\"]\n  12 -> 22 [size =\"9239552\"]\n  13 [size=\"44476416\", alpha=\"0.13\", expect_size=\"22238208\"] \n  13 -> 22 [size =\"22238208\"]\n  14 [size=\"101740544\", alpha=\"0.11\", expect_size=\"50870272\"] \n  14 -> 18 [size =\"50870272\"]\n  14 -> 19 [size =\"50870272\"]\n  15 [size=\"61485056\", alpha=\"0.06\", expect_size=\"30742528\"] \n  15 -> 18 [size =\"30742528\"]\n  15 -> 21 [size =\"30742528\"]\n  16 [size=\"98646016\", alpha=\"0.17\", expect_size=\"49323008\"] \n  16 -> 18 [size =\"49323008\"]\n  16 -> 19 [size =\"49323008\"]\n  16 -> 20 [size =\"49323008\"]\n  16 -> 21 [size =\"49323008\"]\n  17 [size=\"14954496\", alpha=\"0.06\", expect_size=\"7477248\"] \n  17 -> 22 [size =\"7477248\"]\n  18 [size=\"74604544\", alpha=\"0.14\", expect_size=\"37302272\"] \n  18 -> 23 [size =\"37302272\"]\n  18 -> 25 [size =\"37302272\"]\n  18 -> 27 [size =\"37302272\"]\n  19 [size=\"66107392\", alpha=\"0.15\", expect_size=\"33053696\"] \n  19 -> 23 [size =\"33053696\"]\n  19 -> 24 [size =\"33053696\"]\n  19 -> 28 [size =\"33053696\"]\n  20 [size=\"69242880\", alpha=\"0.14\", expect_size=\"34621440\"] \n  20 -> 24 [size =\"34621440\"]\n  20 -> 26 [size =\"34621440\"]\n  21 [size=\"74690560\", alpha=\"0.16\", expect_size=\"37345280\"] \n  21 -> 26 [size =\"37345280\"]\n  21 -> 26 [size =\"37345280\"]\n  22 [size=\"55791616\", alpha=\"0.18\", expect_size=\"27895808\"] \n  22 -> 23 [size =\"27895808\"]\n  22 -> 25 [size =\"27895808\"]\n  23 [size=\"72701952\", alpha=\"0.01\", expect_size=\"36350976\"] \n  23 -> 30 [size =\"36350976\"]\n  24 [size=\"39972864\", alpha=\"0.01\", expect_size=\"19986432\"] \n  24 -> 30 [size =\"19986432\"]\n  24 -> 32 [size =\"19986432\"]\n  25 [size=\"93806592\", alpha=\"0.03\", expect_size=\"46903296\"] \n  25 -> 30 [size =\"46903296\"]\n  26 [size=\"28327936\", alpha=\"0.09\", expect_size=\"14163968\"] \n  26 -> 33 [size =\"14163968\"]\n  27 [size=\"15071232\", alpha=\"0.16\", expect_size=\"7535616\"] \n  27 -> 29 [size =\"7535616\"]\n  27 -> 30 [size =\"7535616\"]\n  27 -> 31 [size =\"7535616\"]\n  28 [size=\"43978752\", alpha=\"0.04\", expect_size=\"21989376\"] \n  28 -> 31 [size =\"21989376\"]\n  28 -> 32 [size =\"21989376\"]\n  28 -> 34 [size =\"21989376\"]\n  29 [size=\"15902720\", alpha=\"0.08\", expect_size=\"7951360\"] \n  29 -> 35 [size =\"7951360\"]\n  29 -> 36 [size =\"7951360\"]\n  29 -> 37 [size =\"7951360\"]\n  29 -> 38 [size =\"7951360\"]\n  30 [size=\"87445504\", alpha=\"0.01\", expect_size=\"43722752\"] \n  30 -> 35 [size =\"43722752\"]\n  31 [size=\"60925952\", alpha=\"0.18\", expect_size=\"30462976\"] \n  31 -> 35 [size =\"30462976\"]\n  31 -> 36 [size =\"30462976\"]\n  32 [size=\"41109504\", alpha=\"0.17\", expect_size=\"20554752\"] \n  32 -> 36 [size =\"20554752\"]\n  32 -> 37 [size =\"20554752\"]\n  32 -> 39 [size =\"20554752\"]\n  33 [size=\"32067584\", alpha=\"0.03\", expect_size=\"16033792\"] \n  33 -> 37 [size =\"16033792\"]\n  33 -> 38 [size =\"16033792\"]\n  34 [size=\"37337088\", alpha=\"0.09\", expect_size=\"18668544\"] \n  34 -> 37 [size =\"18668544\"]\n  34 -> 38 [size =\"18668544\"]\n  35 [size=\"42782720\", alpha=\"0.05\", expect_size=\"21391360\"] \n  36 [size=\"57227264\", alpha=\"0.20\", expect_size=\"28613632\"] \n  36 -> 40 [size =\"28613632\"]\n  37 [size=\"97572864\", alpha=\"0.16\", expect_size=\"48786432\"] \n  37 -> 40 [size =\"48786432\"]\n  38 [size=\"76929024\", alpha=\"0.05\", expect_size=\"38464512\"] \n  38 -> 40 [size =\"38464512\"]\n  39 [size=\"95600640\", alpha=\"0.06\", expect_size=\"47800320\"] \n  40 [size=\"38002688\", alpha=\"0.00\", expect_size=\"19001344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33032192\", alpha=\"0.15\", expect_size=\"16516096\"] \n  1 -> 5 [size =\"16516096\"]\n  2 [size=\"99964928\", alpha=\"0.16\", expect_size=\"49982464\"] \n  3 [size=\"95805440\", alpha=\"0.04\", expect_size=\"47902720\"] \n  3 -> 4 [size =\"47902720\"]\n  3 -> 6 [size =\"47902720\"]\n  4 [size=\"94064640\", alpha=\"0.10\", expect_size=\"47032320\"] \n  4 -> 7 [size =\"47032320\"]\n  5 [size=\"94500864\", alpha=\"0.12\", expect_size=\"47250432\"] \n  5 -> 9 [size =\"47250432\"]\n  6 [size=\"53848064\", alpha=\"0.07\", expect_size=\"26924032\"] \n  6 -> 8 [size =\"26924032\"]\n  7 [size=\"102356992\", alpha=\"0.08\", expect_size=\"51178496\"] \n  7 -> 10 [size =\"51178496\"]\n  7 -> 11 [size =\"51178496\"]\n  8 [size=\"45694976\", alpha=\"0.01\", expect_size=\"22847488\"] \n  8 -> 12 [size =\"22847488\"]\n  9 [size=\"13303808\", alpha=\"0.00\", expect_size=\"6651904\"] \n  9 -> 10 [size =\"6651904\"]\n  10 [size=\"29366272\", alpha=\"0.01\", expect_size=\"14683136\"] \n  10 -> 13 [size =\"14683136\"]\n  10 -> 15 [size =\"14683136\"]\n  11 [size=\"27045888\", alpha=\"0.19\", expect_size=\"13522944\"] \n  11 -> 13 [size =\"13522944\"]\n  11 -> 14 [size =\"13522944\"]\n  11 -> 15 [size =\"13522944\"]\n  12 [size=\"99987456\", alpha=\"0.13\", expect_size=\"49993728\"] \n  12 -> 14 [size =\"49993728\"]\n  13 [size=\"79101952\", alpha=\"0.16\", expect_size=\"39550976\"] \n  13 -> 17 [size =\"39550976\"]\n  14 [size=\"96403456\", alpha=\"0.09\", expect_size=\"48201728\"] \n  15 [size=\"48103424\", alpha=\"0.12\", expect_size=\"24051712\"] \n  15 -> 16 [size =\"24051712\"]\n  16 [size=\"104579072\", alpha=\"0.14\", expect_size=\"52289536\"] \n  16 -> 18 [size =\"52289536\"]\n  17 [size=\"43843584\", alpha=\"0.11\", expect_size=\"21921792\"] \n  17 -> 19 [size =\"21921792\"]\n  18 [size=\"81395712\", alpha=\"0.09\", expect_size=\"40697856\"] \n  18 -> 20 [size =\"40697856\"]\n  18 -> 21 [size =\"40697856\"]\n  19 [size=\"86173696\", alpha=\"0.14\", expect_size=\"43086848\"] \n  20 [size=\"87371776\", alpha=\"0.12\", expect_size=\"43685888\"] \n  20 -> 22 [size =\"43685888\"]\n  21 [size=\"89796608\", alpha=\"0.14\", expect_size=\"44898304\"] \n  21 -> 23 [size =\"44898304\"]\n  21 -> 24 [size =\"44898304\"]\n  22 [size=\"83765248\", alpha=\"0.15\", expect_size=\"41882624\"] \n  22 -> 25 [size =\"41882624\"]\n  22 -> 26 [size =\"41882624\"]\n  23 [size=\"50571264\", alpha=\"0.14\", expect_size=\"25285632\"] \n  23 -> 27 [size =\"25285632\"]\n  24 [size=\"32487424\", alpha=\"0.11\", expect_size=\"16243712\"] \n  24 -> 26 [size =\"16243712\"]\n  25 [size=\"73287680\", alpha=\"0.06\", expect_size=\"36643840\"] \n  26 [size=\"37240832\", alpha=\"0.10\", expect_size=\"18620416\"] \n  26 -> 28 [size =\"18620416\"]\n  27 [size=\"103884800\", alpha=\"0.14\", expect_size=\"51942400\"] \n  27 -> 29 [size =\"51942400\"]\n  28 [size=\"59928576\", alpha=\"0.05\", expect_size=\"29964288\"] \n  28 -> 30 [size =\"29964288\"]\n  28 -> 31 [size =\"29964288\"]\n  29 [size=\"103421952\", alpha=\"0.16\", expect_size=\"51710976\"] \n  29 -> 32 [size =\"51710976\"]\n  30 [size=\"76128256\", alpha=\"0.12\", expect_size=\"38064128\"] \n  30 -> 34 [size =\"38064128\"]\n  31 [size=\"36845568\", alpha=\"0.11\", expect_size=\"18422784\"] \n  31 -> 33 [size =\"18422784\"]\n  32 [size=\"102496256\", alpha=\"0.09\", expect_size=\"51248128\"] \n  32 -> 34 [size =\"51248128\"]\n  33 [size=\"79441920\", alpha=\"0.01\", expect_size=\"39720960\"] \n  33 -> 37 [size =\"39720960\"]\n  34 [size=\"53006336\", alpha=\"0.12\", expect_size=\"26503168\"] \n  34 -> 35 [size =\"26503168\"]\n  34 -> 36 [size =\"26503168\"]\n  35 [size=\"12392448\", alpha=\"0.11\", expect_size=\"6196224\"] \n  35 -> 38 [size =\"6196224\"]\n  35 -> 39 [size =\"6196224\"]\n  36 [size=\"41623552\", alpha=\"0.09\", expect_size=\"20811776\"] \n  37 [size=\"89686016\", alpha=\"0.15\", expect_size=\"44843008\"] \n  38 [size=\"59711488\", alpha=\"0.16\", expect_size=\"29855744\"] \n  39 [size=\"81281024\", alpha=\"0.13\", expect_size=\"40640512\"] \n  39 -> 40 [size =\"40640512\"]\n  40 [size=\"62840832\", alpha=\"0.06\", expect_size=\"31420416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92203008\", alpha=\"0.02\", expect_size=\"46101504\"] \n  1 -> 32 [size =\"46101504\"]\n  1 -> 35 [size =\"46101504\"]\n  2 [size=\"103567360\", alpha=\"0.14\", expect_size=\"51783680\"] \n  2 -> 29 [size =\"51783680\"]\n  2 -> 30 [size =\"51783680\"]\n  2 -> 35 [size =\"51783680\"]\n  2 -> 36 [size =\"51783680\"]\n  2 -> 38 [size =\"51783680\"]\n  3 [size=\"35737600\", alpha=\"0.17\", expect_size=\"17868800\"] \n  3 -> 35 [size =\"17868800\"]\n  3 -> 36 [size =\"17868800\"]\n  3 -> 38 [size =\"17868800\"]\n  3 -> 39 [size =\"17868800\"]\n  4 [size=\"37912576\", alpha=\"0.05\", expect_size=\"18956288\"] \n  4 -> 29 [size =\"18956288\"]\n  4 -> 31 [size =\"18956288\"]\n  4 -> 35 [size =\"18956288\"]\n  4 -> 37 [size =\"18956288\"]\n  4 -> 39 [size =\"18956288\"]\n  4 -> 40 [size =\"18956288\"]\n  5 [size=\"57862144\", alpha=\"0.12\", expect_size=\"28931072\"] \n  5 -> 29 [size =\"28931072\"]\n  5 -> 31 [size =\"28931072\"]\n  5 -> 32 [size =\"28931072\"]\n  5 -> 33 [size =\"28931072\"]\n  5 -> 35 [size =\"28931072\"]\n  5 -> 37 [size =\"28931072\"]\n  5 -> 39 [size =\"28931072\"]\n  6 [size=\"52576256\", alpha=\"0.16\", expect_size=\"26288128\"] \n  6 -> 32 [size =\"26288128\"]\n  6 -> 33 [size =\"26288128\"]\n  6 -> 37 [size =\"26288128\"]\n  6 -> 39 [size =\"26288128\"]\n  6 -> 40 [size =\"26288128\"]\n  7 [size=\"92170240\", alpha=\"0.06\", expect_size=\"46085120\"] \n  7 -> 31 [size =\"46085120\"]\n  7 -> 35 [size =\"46085120\"]\n  7 -> 36 [size =\"46085120\"]\n  8 [size=\"49444864\", alpha=\"0.07\", expect_size=\"24722432\"] \n  8 -> 33 [size =\"24722432\"]\n  8 -> 40 [size =\"24722432\"]\n  9 [size=\"15792128\", alpha=\"0.12\", expect_size=\"7896064\"] \n  9 -> 29 [size =\"7896064\"]\n  9 -> 32 [size =\"7896064\"]\n  9 -> 34 [size =\"7896064\"]\n  9 -> 38 [size =\"7896064\"]\n  9 -> 40 [size =\"7896064\"]\n  10 [size=\"88696832\", alpha=\"0.08\", expect_size=\"44348416\"] \n  10 -> 29 [size =\"44348416\"]\n  10 -> 31 [size =\"44348416\"]\n  10 -> 33 [size =\"44348416\"]\n  10 -> 34 [size =\"44348416\"]\n  10 -> 35 [size =\"44348416\"]\n  10 -> 37 [size =\"44348416\"]\n  10 -> 39 [size =\"44348416\"]\n  11 [size=\"16203776\", alpha=\"0.01\", expect_size=\"8101888\"] \n  11 -> 29 [size =\"8101888\"]\n  11 -> 32 [size =\"8101888\"]\n  11 -> 34 [size =\"8101888\"]\n  11 -> 35 [size =\"8101888\"]\n  11 -> 35 [size =\"8101888\"]\n  11 -> 37 [size =\"8101888\"]\n  11 -> 38 [size =\"8101888\"]\n  11 -> 40 [size =\"8101888\"]\n  12 [size=\"26744832\", alpha=\"0.13\", expect_size=\"13372416\"] \n  12 -> 29 [size =\"13372416\"]\n  12 -> 32 [size =\"13372416\"]\n  12 -> 34 [size =\"13372416\"]\n  13 [size=\"92162048\", alpha=\"0.20\", expect_size=\"46081024\"] \n  13 -> 32 [size =\"46081024\"]\n  13 -> 32 [size =\"46081024\"]\n  13 -> 34 [size =\"46081024\"]\n  13 -> 36 [size =\"46081024\"]\n  13 -> 38 [size =\"46081024\"]\n  13 -> 39 [size =\"46081024\"]\n  14 [size=\"77776896\", alpha=\"0.19\", expect_size=\"38888448\"] \n  14 -> 32 [size =\"38888448\"]\n  14 -> 34 [size =\"38888448\"]\n  14 -> 38 [size =\"38888448\"]\n  14 -> 40 [size =\"38888448\"]\n  15 [size=\"99762176\", alpha=\"0.07\", expect_size=\"49881088\"] \n  15 -> 32 [size =\"49881088\"]\n  15 -> 36 [size =\"49881088\"]\n  15 -> 38 [size =\"49881088\"]\n  16 [size=\"62926848\", alpha=\"0.01\", expect_size=\"31463424\"] \n  16 -> 29 [size =\"31463424\"]\n  16 -> 32 [size =\"31463424\"]\n  16 -> 34 [size =\"31463424\"]\n  16 -> 35 [size =\"31463424\"]\n  16 -> 38 [size =\"31463424\"]\n  17 [size=\"42235904\", alpha=\"0.19\", expect_size=\"21117952\"] \n  17 -> 29 [size =\"21117952\"]\n  17 -> 35 [size =\"21117952\"]\n  17 -> 38 [size =\"21117952\"]\n  17 -> 39 [size =\"21117952\"]\n  18 [size=\"72456192\", alpha=\"0.02\", expect_size=\"36228096\"] \n  18 -> 29 [size =\"36228096\"]\n  18 -> 36 [size =\"36228096\"]\n  18 -> 38 [size =\"36228096\"]\n  18 -> 39 [size =\"36228096\"]\n  19 [size=\"11741184\", alpha=\"0.09\", expect_size=\"5870592\"] \n  19 -> 31 [size =\"5870592\"]\n  19 -> 38 [size =\"5870592\"]\n  19 -> 39 [size =\"5870592\"]\n  20 [size=\"67405824\", alpha=\"0.06\", expect_size=\"33702912\"] \n  20 -> 29 [size =\"33702912\"]\n  20 -> 34 [size =\"33702912\"]\n  20 -> 36 [size =\"33702912\"]\n  20 -> 37 [size =\"33702912\"]\n  21 [size=\"103106560\", alpha=\"0.01\", expect_size=\"51553280\"] \n  21 -> 32 [size =\"51553280\"]\n  21 -> 33 [size =\"51553280\"]\n  21 -> 34 [size =\"51553280\"]\n  21 -> 35 [size =\"51553280\"]\n  21 -> 37 [size =\"51553280\"]\n  22 [size=\"12077056\", alpha=\"0.14\", expect_size=\"6038528\"] \n  22 -> 29 [size =\"6038528\"]\n  22 -> 37 [size =\"6038528\"]\n  23 [size=\"74399744\", alpha=\"0.14\", expect_size=\"37199872\"] \n  23 -> 33 [size =\"37199872\"]\n  23 -> 34 [size =\"37199872\"]\n  23 -> 37 [size =\"37199872\"]\n  23 -> 38 [size =\"37199872\"]\n  24 [size=\"73500672\", alpha=\"0.19\", expect_size=\"36750336\"] \n  24 -> 34 [size =\"36750336\"]\n  24 -> 35 [size =\"36750336\"]\n  24 -> 37 [size =\"36750336\"]\n  25 [size=\"70475776\", alpha=\"0.14\", expect_size=\"35237888\"] \n  25 -> 40 [size =\"35237888\"]\n  26 [size=\"10846208\", alpha=\"0.18\", expect_size=\"5423104\"] \n  26 -> 31 [size =\"5423104\"]\n  26 -> 34 [size =\"5423104\"]\n  26 -> 37 [size =\"5423104\"]\n  26 -> 39 [size =\"5423104\"]\n  26 -> 40 [size =\"5423104\"]\n  27 [size=\"14063616\", alpha=\"0.19\", expect_size=\"7031808\"] \n  27 -> 30 [size =\"7031808\"]\n  27 -> 32 [size =\"7031808\"]\n  27 -> 33 [size =\"7031808\"]\n  27 -> 34 [size =\"7031808\"]\n  27 -> 37 [size =\"7031808\"]\n  28 [size=\"101748736\", alpha=\"0.09\", expect_size=\"50874368\"] \n  28 -> 32 [size =\"50874368\"]\n  28 -> 34 [size =\"50874368\"]\n  29 [size=\"15034368\", alpha=\"0.20\", expect_size=\"7517184\"] \n  30 [size=\"59541504\", alpha=\"0.07\", expect_size=\"29770752\"] \n  31 [size=\"89327616\", alpha=\"0.16\", expect_size=\"44663808\"] \n  32 [size=\"91738112\", alpha=\"0.08\", expect_size=\"45869056\"] \n  33 [size=\"65482752\", alpha=\"0.17\", expect_size=\"32741376\"] \n  34 [size=\"35815424\", alpha=\"0.00\", expect_size=\"17907712\"] \n  35 [size=\"30164992\", alpha=\"0.03\", expect_size=\"15082496\"] \n  36 [size=\"95907840\", alpha=\"0.16\", expect_size=\"47953920\"] \n  37 [size=\"86394880\", alpha=\"0.17\", expect_size=\"43197440\"] \n  38 [size=\"83306496\", alpha=\"0.10\", expect_size=\"41653248\"] \n  39 [size=\"31236096\", alpha=\"0.04\", expect_size=\"15618048\"] \n  40 [size=\"29859840\", alpha=\"0.10\", expect_size=\"14929920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122137600\", alpha=\"0.09\", expect_size=\"48855040\"] \n  1 -> 2 [size =\"48855040\"]\n  2 [size=\"96343040\", alpha=\"0.09\", expect_size=\"38537216\"] \n  2 -> 3 [size =\"38537216\"]\n  3 [size=\"75228160\", alpha=\"0.09\", expect_size=\"30091264\"] \n  3 -> 4 [size =\"30091264\"]\n  4 [size=\"22663680\", alpha=\"0.09\", expect_size=\"9065472\"] \n  4 -> 5 [size =\"9065472\"]\n  5 [size=\"82355200\", alpha=\"0.12\", expect_size=\"32942080\"] \n  5 -> 6 [size =\"32942080\"]\n  6 [size=\"36835840\", alpha=\"0.01\", expect_size=\"14734336\"] \n  6 -> 7 [size =\"14734336\"]\n  7 [size=\"70443520\", alpha=\"0.00\", expect_size=\"28177408\"] \n  7 -> 8 [size =\"28177408\"]\n  8 [size=\"20884480\", alpha=\"0.01\", expect_size=\"8353792\"] \n  8 -> 9 [size =\"8353792\"]\n  9 [size=\"26944000\", alpha=\"0.10\", expect_size=\"10777600\"] \n  9 -> 10 [size =\"10777600\"]\n  10 [size=\"83514880\", alpha=\"0.16\", expect_size=\"33405952\"] \n  10 -> 11 [size =\"33405952\"]\n  11 [size=\"66782720\", alpha=\"0.18\", expect_size=\"26713088\"] \n  11 -> 12 [size =\"26713088\"]\n  12 [size=\"122513920\", alpha=\"0.08\", expect_size=\"49005568\"] \n  12 -> 13 [size =\"49005568\"]\n  13 [size=\"58483200\", alpha=\"0.07\", expect_size=\"23393280\"] \n  13 -> 14 [size =\"23393280\"]\n  14 [size=\"109312000\", alpha=\"0.17\", expect_size=\"43724800\"] \n  14 -> 15 [size =\"43724800\"]\n  15 [size=\"43228160\", alpha=\"0.03\", expect_size=\"17291264\"] \n  15 -> 16 [size =\"17291264\"]\n  16 [size=\"113164800\", alpha=\"0.14\", expect_size=\"45265920\"] \n  16 -> 17 [size =\"45265920\"]\n  17 [size=\"120924160\", alpha=\"0.11\", expect_size=\"48369664\"] \n  17 -> 18 [size =\"48369664\"]\n  18 [size=\"123095040\", alpha=\"0.04\", expect_size=\"49238016\"] \n  18 -> 19 [size =\"49238016\"]\n  19 [size=\"126376960\", alpha=\"0.08\", expect_size=\"50550784\"] \n  19 -> 20 [size =\"50550784\"]\n  20 [size=\"69235200\", alpha=\"0.11\", expect_size=\"27694080\"] \n  20 -> 21 [size =\"27694080\"]\n  21 [size=\"43880960\", alpha=\"0.12\", expect_size=\"17552384\"] \n  21 -> 22 [size =\"17552384\"]\n  22 [size=\"34350080\", alpha=\"0.07\", expect_size=\"13740032\"] \n  22 -> 23 [size =\"13740032\"]\n  23 [size=\"80107520\", alpha=\"0.13\", expect_size=\"32043008\"] \n  23 -> 24 [size =\"32043008\"]\n  24 [size=\"118727680\", alpha=\"0.20\", expect_size=\"47491072\"] \n  24 -> 25 [size =\"47491072\"]\n  25 [size=\"103283200\", alpha=\"0.19\", expect_size=\"41313280\"] \n  25 -> 26 [size =\"41313280\"]\n  26 [size=\"119142400\", alpha=\"0.02\", expect_size=\"47656960\"] \n  26 -> 27 [size =\"47656960\"]\n  27 [size=\"85281280\", alpha=\"0.15\", expect_size=\"34112512\"] \n  27 -> 28 [size =\"34112512\"]\n  28 [size=\"33899520\", alpha=\"0.09\", expect_size=\"13559808\"] \n  28 -> 29 [size =\"13559808\"]\n  29 [size=\"56832000\", alpha=\"0.06\", expect_size=\"22732800\"] \n  29 -> 30 [size =\"22732800\"]\n  30 [size=\"104092160\", alpha=\"0.14\", expect_size=\"41636864\"] \n  30 -> 31 [size =\"41636864\"]\n  31 [size=\"48742400\", alpha=\"0.12\", expect_size=\"19496960\"] \n  31 -> 32 [size =\"19496960\"]\n  32 [size=\"117780480\", alpha=\"0.08\", expect_size=\"47112192\"] \n  32 -> 33 [size =\"47112192\"]\n  33 [size=\"40550400\", alpha=\"0.12\", expect_size=\"16220160\"] \n  33 -> 34 [size =\"16220160\"]\n  34 [size=\"115107840\", alpha=\"0.12\", expect_size=\"46043136\"] \n  34 -> 35 [size =\"46043136\"]\n  35 [size=\"115074560\", alpha=\"0.17\", expect_size=\"46029824\"] \n  35 -> 36 [size =\"46029824\"]\n  36 [size=\"109706240\", alpha=\"0.19\", expect_size=\"43882496\"] \n  36 -> 37 [size =\"43882496\"]\n  37 [size=\"122728960\", alpha=\"0.19\", expect_size=\"49091584\"] \n  37 -> 38 [size =\"49091584\"]\n  38 [size=\"93514240\", alpha=\"0.19\", expect_size=\"37405696\"] \n  38 -> 39 [size =\"37405696\"]\n  39 [size=\"29844480\", alpha=\"0.17\", expect_size=\"11937792\"] \n  39 -> 40 [size =\"11937792\"]\n  40 [size=\"63518720\", alpha=\"0.05\", expect_size=\"25407488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75373227\", alpha=\"0.13\", expect_size=\"22611968\"] \n  1 -> 7 [size =\"22611968\"]\n  1 -> 8 [size =\"22611968\"]\n  1 -> 9 [size =\"22611968\"]\n  1 -> 11 [size =\"22611968\"]\n  2 [size=\"77165227\", alpha=\"0.02\", expect_size=\"23149568\"] \n  2 -> 8 [size =\"23149568\"]\n  3 [size=\"164273493\", alpha=\"0.15\", expect_size=\"49282048\"] \n  3 -> 10 [size =\"49282048\"]\n  4 [size=\"69133653\", alpha=\"0.19\", expect_size=\"20740096\"] \n  4 -> 8 [size =\"20740096\"]\n  4 -> 10 [size =\"20740096\"]\n  4 -> 11 [size =\"20740096\"]\n  5 [size=\"83452587\", alpha=\"0.02\", expect_size=\"25035776\"] \n  5 -> 8 [size =\"25035776\"]\n  5 -> 10 [size =\"25035776\"]\n  6 [size=\"36618240\", alpha=\"0.11\", expect_size=\"10985472\"] \n  6 -> 7 [size =\"10985472\"]\n  6 -> 8 [size =\"10985472\"]\n  6 -> 9 [size =\"10985472\"]\n  6 -> 11 [size =\"10985472\"]\n  7 [size=\"58808320\", alpha=\"0.13\", expect_size=\"17642496\"] \n  7 -> 12 [size =\"17642496\"]\n  7 -> 15 [size =\"17642496\"]\n  7 -> 16 [size =\"17642496\"]\n  7 -> 17 [size =\"17642496\"]\n  8 [size=\"166478507\", alpha=\"0.16\", expect_size=\"49943552\"] \n  8 -> 12 [size =\"49943552\"]\n  8 -> 13 [size =\"49943552\"]\n  8 -> 14 [size =\"49943552\"]\n  8 -> 15 [size =\"49943552\"]\n  8 -> 16 [size =\"49943552\"]\n  9 [size=\"122443093\", alpha=\"0.07\", expect_size=\"36732928\"] \n  9 -> 12 [size =\"36732928\"]\n  9 -> 16 [size =\"36732928\"]\n  9 -> 17 [size =\"36732928\"]\n  10 [size=\"33614507\", alpha=\"0.15\", expect_size=\"10084352\"] \n  10 -> 13 [size =\"10084352\"]\n  10 -> 15 [size =\"10084352\"]\n  11 [size=\"122682027\", alpha=\"0.04\", expect_size=\"36804608\"] \n  11 -> 12 [size =\"36804608\"]\n  11 -> 15 [size =\"36804608\"]\n  11 -> 17 [size =\"36804608\"]\n  12 [size=\"70048427\", alpha=\"0.03\", expect_size=\"21014528\"] \n  12 -> 18 [size =\"21014528\"]\n  13 [size=\"82414933\", alpha=\"0.02\", expect_size=\"24724480\"] \n  13 -> 18 [size =\"24724480\"]\n  13 -> 20 [size =\"24724480\"]\n  13 -> 21 [size =\"24724480\"]\n  13 -> 22 [size =\"24724480\"]\n  14 [size=\"40523093\", alpha=\"0.02\", expect_size=\"12156928\"] \n  14 -> 19 [size =\"12156928\"]\n  14 -> 20 [size =\"12156928\"]\n  15 [size=\"29938347\", alpha=\"0.05\", expect_size=\"8981504\"] \n  15 -> 19 [size =\"8981504\"]\n  15 -> 20 [size =\"8981504\"]\n  16 [size=\"46373547\", alpha=\"0.02\", expect_size=\"13912064\"] \n  16 -> 19 [size =\"13912064\"]\n  16 -> 20 [size =\"13912064\"]\n  17 [size=\"134621867\", alpha=\"0.10\", expect_size=\"40386560\"] \n  17 -> 20 [size =\"40386560\"]\n  17 -> 21 [size =\"40386560\"]\n  17 -> 22 [size =\"40386560\"]\n  18 [size=\"81281707\", alpha=\"0.01\", expect_size=\"24384512\"] \n  18 -> 24 [size =\"24384512\"]\n  18 -> 26 [size =\"24384512\"]\n  18 -> 27 [size =\"24384512\"]\n  18 -> 28 [size =\"24384512\"]\n  19 [size=\"48803840\", alpha=\"0.00\", expect_size=\"14641152\"] \n  19 -> 24 [size =\"14641152\"]\n  19 -> 26 [size =\"14641152\"]\n  19 -> 29 [size =\"14641152\"]\n  20 [size=\"106397013\", alpha=\"0.16\", expect_size=\"31919104\"] \n  20 -> 23 [size =\"31919104\"]\n  20 -> 29 [size =\"31919104\"]\n  20 -> 29 [size =\"31919104\"]\n  21 [size=\"64102400\", alpha=\"0.19\", expect_size=\"19230720\"] \n  21 -> 23 [size =\"19230720\"]\n  21 -> 25 [size =\"19230720\"]\n  21 -> 26 [size =\"19230720\"]\n  21 -> 28 [size =\"19230720\"]\n  22 [size=\"97897813\", alpha=\"0.10\", expect_size=\"29369344\"] \n  22 -> 27 [size =\"29369344\"]\n  23 [size=\"120872960\", alpha=\"0.19\", expect_size=\"36261888\"] \n  23 -> 30 [size =\"36261888\"]\n  23 -> 31 [size =\"36261888\"]\n  23 -> 32 [size =\"36261888\"]\n  24 [size=\"137540267\", alpha=\"0.15\", expect_size=\"41262080\"] \n  24 -> 30 [size =\"41262080\"]\n  24 -> 32 [size =\"41262080\"]\n  25 [size=\"153067520\", alpha=\"0.19\", expect_size=\"45920256\"] \n  25 -> 31 [size =\"45920256\"]\n  25 -> 32 [size =\"45920256\"]\n  25 -> 33 [size =\"45920256\"]\n  26 [size=\"33737387\", alpha=\"0.06\", expect_size=\"10121216\"] \n  26 -> 33 [size =\"10121216\"]\n  26 -> 34 [size =\"10121216\"]\n  27 [size=\"53196800\", alpha=\"0.18\", expect_size=\"15959040\"] \n  27 -> 30 [size =\"15959040\"]\n  27 -> 31 [size =\"15959040\"]\n  28 [size=\"132034560\", alpha=\"0.09\", expect_size=\"39610368\"] \n  28 -> 30 [size =\"39610368\"]\n  28 -> 32 [size =\"39610368\"]\n  29 [size=\"142131200\", alpha=\"0.13\", expect_size=\"42639360\"] \n  29 -> 30 [size =\"42639360\"]\n  29 -> 34 [size =\"42639360\"]\n  30 [size=\"143291733\", alpha=\"0.20\", expect_size=\"42987520\"] \n  30 -> 35 [size =\"42987520\"]\n  30 -> 36 [size =\"42987520\"]\n  30 -> 38 [size =\"42987520\"]\n  31 [size=\"110861653\", alpha=\"0.19\", expect_size=\"33258496\"] \n  31 -> 35 [size =\"33258496\"]\n  31 -> 36 [size =\"33258496\"]\n  31 -> 40 [size =\"33258496\"]\n  32 [size=\"102744747\", alpha=\"0.06\", expect_size=\"30823424\"] \n  32 -> 35 [size =\"30823424\"]\n  32 -> 38 [size =\"30823424\"]\n  32 -> 39 [size =\"30823424\"]\n  32 -> 40 [size =\"30823424\"]\n  33 [size=\"21346987\", alpha=\"0.00\", expect_size=\"6404096\"] \n  33 -> 35 [size =\"6404096\"]\n  33 -> 38 [size =\"6404096\"]\n  33 -> 40 [size =\"6404096\"]\n  34 [size=\"170752000\", alpha=\"0.18\", expect_size=\"51225600\"] \n  34 -> 37 [size =\"51225600\"]\n  34 -> 38 [size =\"51225600\"]\n  34 -> 40 [size =\"51225600\"]\n  35 [size=\"130754560\", alpha=\"0.17\", expect_size=\"39226368\"] \n  36 [size=\"124624213\", alpha=\"0.20\", expect_size=\"37387264\"] \n  37 [size=\"171502933\", alpha=\"0.18\", expect_size=\"51450880\"] \n  38 [size=\"155439787\", alpha=\"0.04\", expect_size=\"46631936\"] \n  39 [size=\"68147200\", alpha=\"0.13\", expect_size=\"20444160\"] \n  40 [size=\"171881813\", alpha=\"0.15\", expect_size=\"51564544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19728384\", alpha=\"0.08\", expect_size=\"9864192\"] \n  2 [size=\"34912256\", alpha=\"0.01\", expect_size=\"17456128\"] \n  2 -> 13 [size =\"17456128\"]\n  2 -> 15 [size =\"17456128\"]\n  3 [size=\"52740096\", alpha=\"0.04\", expect_size=\"26370048\"] \n  3 -> 11 [size =\"26370048\"]\n  3 -> 13 [size =\"26370048\"]\n  4 [size=\"60200960\", alpha=\"0.05\", expect_size=\"30100480\"] \n  4 -> 9 [size =\"30100480\"]\n  5 [size=\"85403648\", alpha=\"0.11\", expect_size=\"42701824\"] \n  5 -> 9 [size =\"42701824\"]\n  5 -> 14 [size =\"42701824\"]\n  6 [size=\"22980608\", alpha=\"0.05\", expect_size=\"11490304\"] \n  6 -> 9 [size =\"11490304\"]\n  6 -> 10 [size =\"11490304\"]\n  6 -> 11 [size =\"11490304\"]\n  7 [size=\"39378944\", alpha=\"0.03\", expect_size=\"19689472\"] \n  7 -> 10 [size =\"19689472\"]\n  8 [size=\"29487104\", alpha=\"0.02\", expect_size=\"14743552\"] \n  8 -> 9 [size =\"14743552\"]\n  8 -> 12 [size =\"14743552\"]\n  9 [size=\"96319488\", alpha=\"0.13\", expect_size=\"48159744\"] \n  9 -> 17 [size =\"48159744\"]\n  9 -> 19 [size =\"48159744\"]\n  10 [size=\"22087680\", alpha=\"0.19\", expect_size=\"11043840\"] \n  10 -> 16 [size =\"11043840\"]\n  10 -> 17 [size =\"11043840\"]\n  11 [size=\"65550336\", alpha=\"0.06\", expect_size=\"32775168\"] \n  12 [size=\"103407616\", alpha=\"0.03\", expect_size=\"51703808\"] \n  13 [size=\"12808192\", alpha=\"0.06\", expect_size=\"6404096\"] \n  13 -> 18 [size =\"6404096\"]\n  14 [size=\"31234048\", alpha=\"0.03\", expect_size=\"15617024\"] \n  14 -> 17 [size =\"15617024\"]\n  14 -> 18 [size =\"15617024\"]\n  15 [size=\"54571008\", alpha=\"0.07\", expect_size=\"27285504\"] \n  15 -> 17 [size =\"27285504\"]\n  16 [size=\"104792064\", alpha=\"0.18\", expect_size=\"52396032\"] \n  16 -> 21 [size =\"52396032\"]\n  16 -> 24 [size =\"52396032\"]\n  16 -> 25 [size =\"52396032\"]\n  17 [size=\"31844352\", alpha=\"0.19\", expect_size=\"15922176\"] \n  17 -> 21 [size =\"15922176\"]\n  17 -> 22 [size =\"15922176\"]\n  18 [size=\"44953600\", alpha=\"0.10\", expect_size=\"22476800\"] \n  18 -> 20 [size =\"22476800\"]\n  19 [size=\"52199424\", alpha=\"0.04\", expect_size=\"26099712\"] \n  19 -> 22 [size =\"26099712\"]\n  19 -> 23 [size =\"26099712\"]\n  19 -> 25 [size =\"26099712\"]\n  20 [size=\"19501056\", alpha=\"0.04\", expect_size=\"9750528\"] \n  20 -> 29 [size =\"9750528\"]\n  21 [size=\"14166016\", alpha=\"0.07\", expect_size=\"7083008\"] \n  22 [size=\"40605696\", alpha=\"0.15\", expect_size=\"20302848\"] \n  23 [size=\"56072192\", alpha=\"0.11\", expect_size=\"28036096\"] \n  23 -> 26 [size =\"28036096\"]\n  24 [size=\"86267904\", alpha=\"0.18\", expect_size=\"43133952\"] \n  24 -> 26 [size =\"43133952\"]\n  25 [size=\"99772416\", alpha=\"0.01\", expect_size=\"49886208\"] \n  25 -> 27 [size =\"49886208\"]\n  25 -> 28 [size =\"49886208\"]\n  26 [size=\"39477248\", alpha=\"0.07\", expect_size=\"19738624\"] \n  26 -> 33 [size =\"19738624\"]\n  27 [size=\"28874752\", alpha=\"0.19\", expect_size=\"14437376\"] \n  27 -> 32 [size =\"14437376\"]\n  28 [size=\"23906304\", alpha=\"0.14\", expect_size=\"11953152\"] \n  28 -> 30 [size =\"11953152\"]\n  28 -> 31 [size =\"11953152\"]\n  28 -> 32 [size =\"11953152\"]\n  29 [size=\"69449728\", alpha=\"0.08\", expect_size=\"34724864\"] \n  29 -> 30 [size =\"34724864\"]\n  29 -> 31 [size =\"34724864\"]\n  30 [size=\"88133632\", alpha=\"0.05\", expect_size=\"44066816\"] \n  30 -> 37 [size =\"44066816\"]\n  31 [size=\"14764032\", alpha=\"0.13\", expect_size=\"7382016\"] \n  31 -> 36 [size =\"7382016\"]\n  32 [size=\"47331328\", alpha=\"0.01\", expect_size=\"23665664\"] \n  32 -> 35 [size =\"23665664\"]\n  32 -> 36 [size =\"23665664\"]\n  32 -> 37 [size =\"23665664\"]\n  33 [size=\"21516288\", alpha=\"0.09\", expect_size=\"10758144\"] \n  33 -> 34 [size =\"10758144\"]\n  33 -> 35 [size =\"10758144\"]\n  34 [size=\"73949184\", alpha=\"0.02\", expect_size=\"36974592\"] \n  35 [size=\"65597440\", alpha=\"0.04\", expect_size=\"32798720\"] \n  35 -> 38 [size =\"32798720\"]\n  35 -> 39 [size =\"32798720\"]\n  36 [size=\"71383040\", alpha=\"0.06\", expect_size=\"35691520\"] \n  37 [size=\"103800832\", alpha=\"0.12\", expect_size=\"51900416\"] \n  37 -> 40 [size =\"51900416\"]\n  38 [size=\"97372160\", alpha=\"0.06\", expect_size=\"48686080\"] \n  39 [size=\"71100416\", alpha=\"0.09\", expect_size=\"35550208\"] \n  40 [size=\"16449536\", alpha=\"0.14\", expect_size=\"8224768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52623360\", alpha=\"0.02\", expect_size=\"15787008\"] \n  1 -> 2 [size =\"15787008\"]\n  2 [size=\"160897707\", alpha=\"0.01\", expect_size=\"48269312\"] \n  2 -> 3 [size =\"48269312\"]\n  3 [size=\"94481067\", alpha=\"0.02\", expect_size=\"28344320\"] \n  3 -> 4 [size =\"28344320\"]\n  4 [size=\"127901013\", alpha=\"0.11\", expect_size=\"38370304\"] \n  4 -> 5 [size =\"38370304\"]\n  5 [size=\"101140480\", alpha=\"0.08\", expect_size=\"30342144\"] \n  5 -> 6 [size =\"30342144\"]\n  6 [size=\"20882773\", alpha=\"0.13\", expect_size=\"6264832\"] \n  6 -> 7 [size =\"6264832\"]\n  7 [size=\"171137707\", alpha=\"0.19\", expect_size=\"51341312\"] \n  7 -> 8 [size =\"51341312\"]\n  8 [size=\"56712533\", alpha=\"0.07\", expect_size=\"17013760\"] \n  8 -> 9 [size =\"17013760\"]\n  9 [size=\"65928533\", alpha=\"0.06\", expect_size=\"19778560\"] \n  9 -> 10 [size =\"19778560\"]\n  10 [size=\"114711893\", alpha=\"0.16\", expect_size=\"34413568\"] \n  10 -> 11 [size =\"34413568\"]\n  11 [size=\"117838507\", alpha=\"0.14\", expect_size=\"35351552\"] \n  11 -> 12 [size =\"35351552\"]\n  12 [size=\"134106453\", alpha=\"0.15\", expect_size=\"40231936\"] \n  12 -> 13 [size =\"40231936\"]\n  13 [size=\"139673600\", alpha=\"0.18\", expect_size=\"41902080\"] \n  13 -> 14 [size =\"41902080\"]\n  14 [size=\"154129067\", alpha=\"0.12\", expect_size=\"46238720\"] \n  14 -> 15 [size =\"46238720\"]\n  15 [size=\"80489813\", alpha=\"0.15\", expect_size=\"24146944\"] \n  15 -> 16 [size =\"24146944\"]\n  16 [size=\"144663893\", alpha=\"0.01\", expect_size=\"43399168\"] \n  16 -> 17 [size =\"43399168\"]\n  17 [size=\"87336960\", alpha=\"0.14\", expect_size=\"26201088\"] \n  17 -> 18 [size =\"26201088\"]\n  18 [size=\"82097493\", alpha=\"0.07\", expect_size=\"24629248\"] \n  18 -> 19 [size =\"24629248\"]\n  19 [size=\"134417067\", alpha=\"0.14\", expect_size=\"40325120\"] \n  19 -> 20 [size =\"40325120\"]\n  20 [size=\"21261653\", alpha=\"0.15\", expect_size=\"6378496\"] \n  20 -> 21 [size =\"6378496\"]\n  21 [size=\"143926613\", alpha=\"0.01\", expect_size=\"43177984\"] \n  21 -> 22 [size =\"43177984\"]\n  22 [size=\"96771413\", alpha=\"0.05\", expect_size=\"29031424\"] \n  22 -> 23 [size =\"29031424\"]\n  23 [size=\"59859627\", alpha=\"0.18\", expect_size=\"17957888\"] \n  23 -> 24 [size =\"17957888\"]\n  24 [size=\"42642773\", alpha=\"0.06\", expect_size=\"12792832\"] \n  24 -> 25 [size =\"12792832\"]\n  25 [size=\"135266987\", alpha=\"0.04\", expect_size=\"40580096\"] \n  25 -> 26 [size =\"40580096\"]\n  26 [size=\"92450133\", alpha=\"0.03\", expect_size=\"27735040\"] \n  26 -> 27 [size =\"27735040\"]\n  27 [size=\"101229227\", alpha=\"0.01\", expect_size=\"30368768\"] \n  27 -> 28 [size =\"30368768\"]\n  28 [size=\"55961600\", alpha=\"0.05\", expect_size=\"16788480\"] \n  28 -> 29 [size =\"16788480\"]\n  29 [size=\"111428267\", alpha=\"0.14\", expect_size=\"33428480\"] \n  29 -> 30 [size =\"33428480\"]\n  30 [size=\"63501653\", alpha=\"0.16\", expect_size=\"19050496\"] \n  30 -> 31 [size =\"19050496\"]\n  31 [size=\"24746667\", alpha=\"0.11\", expect_size=\"7424000\"] \n  31 -> 32 [size =\"7424000\"]\n  32 [size=\"30306987\", alpha=\"0.00\", expect_size=\"9092096\"] \n  32 -> 33 [size =\"9092096\"]\n  33 [size=\"66324480\", alpha=\"0.05\", expect_size=\"19897344\"] \n  33 -> 34 [size =\"19897344\"]\n  34 [size=\"52517547\", alpha=\"0.07\", expect_size=\"15755264\"] \n  34 -> 35 [size =\"15755264\"]\n  35 [size=\"99310933\", alpha=\"0.18\", expect_size=\"29793280\"] \n  35 -> 36 [size =\"29793280\"]\n  36 [size=\"133085867\", alpha=\"0.04\", expect_size=\"39925760\"] \n  36 -> 37 [size =\"39925760\"]\n  37 [size=\"157252267\", alpha=\"0.20\", expect_size=\"47175680\"] \n  37 -> 38 [size =\"47175680\"]\n  38 [size=\"168188587\", alpha=\"0.03\", expect_size=\"50456576\"] \n  38 -> 39 [size =\"50456576\"]\n  39 [size=\"47841280\", alpha=\"0.02\", expect_size=\"14352384\"] \n  39 -> 40 [size =\"14352384\"]\n  40 [size=\"159238827\", alpha=\"0.01\", expect_size=\"47771648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40085504\", alpha=\"0.09\", expect_size=\"20042752\"] \n  1 -> 9 [size =\"20042752\"]\n  1 -> 10 [size =\"20042752\"]\n  1 -> 11 [size =\"20042752\"]\n  2 [size=\"48134144\", alpha=\"0.05\", expect_size=\"24067072\"] \n  2 -> 7 [size =\"24067072\"]\n  2 -> 8 [size =\"24067072\"]\n  2 -> 11 [size =\"24067072\"]\n  3 [size=\"48730112\", alpha=\"0.18\", expect_size=\"24365056\"] \n  3 -> 8 [size =\"24365056\"]\n  3 -> 10 [size =\"24365056\"]\n  4 [size=\"17401856\", alpha=\"0.18\", expect_size=\"8700928\"] \n  4 -> 11 [size =\"8700928\"]\n  5 [size=\"64348160\", alpha=\"0.17\", expect_size=\"32174080\"] \n  5 -> 7 [size =\"32174080\"]\n  5 -> 8 [size =\"32174080\"]\n  5 -> 10 [size =\"32174080\"]\n  6 [size=\"67301376\", alpha=\"0.13\", expect_size=\"33650688\"] \n  6 -> 10 [size =\"33650688\"]\n  6 -> 11 [size =\"33650688\"]\n  7 [size=\"69720064\", alpha=\"0.10\", expect_size=\"34860032\"] \n  7 -> 13 [size =\"34860032\"]\n  7 -> 17 [size =\"34860032\"]\n  8 [size=\"98816000\", alpha=\"0.07\", expect_size=\"49408000\"] \n  9 [size=\"38111232\", alpha=\"0.04\", expect_size=\"19055616\"] \n  9 -> 12 [size =\"19055616\"]\n  9 -> 15 [size =\"19055616\"]\n  9 -> 16 [size =\"19055616\"]\n  9 -> 17 [size =\"19055616\"]\n  10 [size=\"80128000\", alpha=\"0.09\", expect_size=\"40064000\"] \n  10 -> 14 [size =\"40064000\"]\n  10 -> 16 [size =\"40064000\"]\n  11 [size=\"45735936\", alpha=\"0.12\", expect_size=\"22867968\"] \n  11 -> 16 [size =\"22867968\"]\n  11 -> 17 [size =\"22867968\"]\n  12 [size=\"86614016\", alpha=\"0.02\", expect_size=\"43307008\"] \n  12 -> 19 [size =\"43307008\"]\n  12 -> 23 [size =\"43307008\"]\n  13 [size=\"14913536\", alpha=\"0.12\", expect_size=\"7456768\"] \n  13 -> 18 [size =\"7456768\"]\n  13 -> 19 [size =\"7456768\"]\n  13 -> 22 [size =\"7456768\"]\n  14 [size=\"101144576\", alpha=\"0.03\", expect_size=\"50572288\"] \n  14 -> 21 [size =\"50572288\"]\n  14 -> 22 [size =\"50572288\"]\n  14 -> 23 [size =\"50572288\"]\n  15 [size=\"90331136\", alpha=\"0.02\", expect_size=\"45165568\"] \n  15 -> 22 [size =\"45165568\"]\n  16 [size=\"74539008\", alpha=\"0.01\", expect_size=\"37269504\"] \n  16 -> 20 [size =\"37269504\"]\n  16 -> 22 [size =\"37269504\"]\n  16 -> 23 [size =\"37269504\"]\n  17 [size=\"39772160\", alpha=\"0.07\", expect_size=\"19886080\"] \n  17 -> 18 [size =\"19886080\"]\n  17 -> 19 [size =\"19886080\"]\n  18 [size=\"86407168\", alpha=\"0.07\", expect_size=\"43203584\"] \n  18 -> 24 [size =\"43203584\"]\n  18 -> 26 [size =\"43203584\"]\n  18 -> 28 [size =\"43203584\"]\n  19 [size=\"26263552\", alpha=\"0.04\", expect_size=\"13131776\"] \n  19 -> 25 [size =\"13131776\"]\n  19 -> 26 [size =\"13131776\"]\n  19 -> 28 [size =\"13131776\"]\n  20 [size=\"46686208\", alpha=\"0.15\", expect_size=\"23343104\"] \n  20 -> 27 [size =\"23343104\"]\n  21 [size=\"88799232\", alpha=\"0.12\", expect_size=\"44399616\"] \n  21 -> 24 [size =\"44399616\"]\n  21 -> 27 [size =\"44399616\"]\n  21 -> 28 [size =\"44399616\"]\n  22 [size=\"52615168\", alpha=\"0.18\", expect_size=\"26307584\"] \n  23 [size=\"61990912\", alpha=\"0.11\", expect_size=\"30995456\"] \n  23 -> 26 [size =\"30995456\"]\n  23 -> 28 [size =\"30995456\"]\n  24 [size=\"22962176\", alpha=\"0.06\", expect_size=\"11481088\"] \n  24 -> 29 [size =\"11481088\"]\n  24 -> 32 [size =\"11481088\"]\n  25 [size=\"39333888\", alpha=\"0.12\", expect_size=\"19666944\"] \n  25 -> 33 [size =\"19666944\"]\n  25 -> 34 [size =\"19666944\"]\n  26 [size=\"48541696\", alpha=\"0.11\", expect_size=\"24270848\"] \n  26 -> 30 [size =\"24270848\"]\n  27 [size=\"51316736\", alpha=\"0.02\", expect_size=\"25658368\"] \n  27 -> 30 [size =\"25658368\"]\n  27 -> 31 [size =\"25658368\"]\n  28 [size=\"84832256\", alpha=\"0.11\", expect_size=\"42416128\"] \n  28 -> 29 [size =\"42416128\"]\n  28 -> 30 [size =\"42416128\"]\n  28 -> 32 [size =\"42416128\"]\n  29 [size=\"22073344\", alpha=\"0.07\", expect_size=\"11036672\"] \n  29 -> 38 [size =\"11036672\"]\n  29 -> 39 [size =\"11036672\"]\n  30 [size=\"41064448\", alpha=\"0.17\", expect_size=\"20532224\"] \n  30 -> 35 [size =\"20532224\"]\n  30 -> 38 [size =\"20532224\"]\n  31 [size=\"17917952\", alpha=\"0.15\", expect_size=\"8958976\"] \n  31 -> 35 [size =\"8958976\"]\n  31 -> 39 [size =\"8958976\"]\n  32 [size=\"76605440\", alpha=\"0.09\", expect_size=\"38302720\"] \n  32 -> 37 [size =\"38302720\"]\n  32 -> 39 [size =\"38302720\"]\n  33 [size=\"66031616\", alpha=\"0.03\", expect_size=\"33015808\"] \n  33 -> 36 [size =\"33015808\"]\n  33 -> 38 [size =\"33015808\"]\n  34 [size=\"24444928\", alpha=\"0.17\", expect_size=\"12222464\"] \n  34 -> 36 [size =\"12222464\"]\n  34 -> 39 [size =\"12222464\"]\n  35 [size=\"53131264\", alpha=\"0.08\", expect_size=\"26565632\"] \n  36 [size=\"17215488\", alpha=\"0.13\", expect_size=\"8607744\"] \n  37 [size=\"67883008\", alpha=\"0.03\", expect_size=\"33941504\"] \n  37 -> 40 [size =\"33941504\"]\n  38 [size=\"75626496\", alpha=\"0.10\", expect_size=\"37813248\"] \n  38 -> 40 [size =\"37813248\"]\n  39 [size=\"34404352\", alpha=\"0.00\", expect_size=\"17202176\"] \n  40 [size=\"66215936\", alpha=\"0.18\", expect_size=\"33107968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174155093\", alpha=\"0.16\", expect_size=\"52246528\"] \n  1 -> 29 [size =\"52246528\"]\n  1 -> 31 [size =\"52246528\"]\n  1 -> 39 [size =\"52246528\"]\n  2 [size=\"117248000\", alpha=\"0.05\", expect_size=\"35174400\"] \n  2 -> 29 [size =\"35174400\"]\n  2 -> 31 [size =\"35174400\"]\n  2 -> 36 [size =\"35174400\"]\n  2 -> 37 [size =\"35174400\"]\n  3 [size=\"85309440\", alpha=\"0.19\", expect_size=\"25592832\"] \n  3 -> 29 [size =\"25592832\"]\n  3 -> 32 [size =\"25592832\"]\n  3 -> 36 [size =\"25592832\"]\n  3 -> 38 [size =\"25592832\"]\n  3 -> 39 [size =\"25592832\"]\n  3 -> 40 [size =\"25592832\"]\n  4 [size=\"53787307\", alpha=\"0.07\", expect_size=\"16136192\"] \n  4 -> 31 [size =\"16136192\"]\n  4 -> 32 [size =\"16136192\"]\n  4 -> 35 [size =\"16136192\"]\n  4 -> 36 [size =\"16136192\"]\n  4 -> 40 [size =\"16136192\"]\n  5 [size=\"80134827\", alpha=\"0.16\", expect_size=\"24040448\"] \n  5 -> 28 [size =\"24040448\"]\n  5 -> 40 [size =\"24040448\"]\n  6 [size=\"114036053\", alpha=\"0.04\", expect_size=\"34210816\"] \n  6 -> 28 [size =\"34210816\"]\n  6 -> 31 [size =\"34210816\"]\n  6 -> 38 [size =\"34210816\"]\n  7 [size=\"132328107\", alpha=\"0.15\", expect_size=\"39698432\"] \n  7 -> 28 [size =\"39698432\"]\n  7 -> 30 [size =\"39698432\"]\n  7 -> 33 [size =\"39698432\"]\n  7 -> 38 [size =\"39698432\"]\n  8 [size=\"74444800\", alpha=\"0.02\", expect_size=\"22333440\"] \n  8 -> 30 [size =\"22333440\"]\n  8 -> 32 [size =\"22333440\"]\n  8 -> 36 [size =\"22333440\"]\n  8 -> 38 [size =\"22333440\"]\n  8 -> 39 [size =\"22333440\"]\n  8 -> 40 [size =\"22333440\"]\n  9 [size=\"106963627\", alpha=\"0.14\", expect_size=\"32089088\"] \n  9 -> 28 [size =\"32089088\"]\n  9 -> 29 [size =\"32089088\"]\n  9 -> 31 [size =\"32089088\"]\n  9 -> 32 [size =\"32089088\"]\n  9 -> 38 [size =\"32089088\"]\n  9 -> 40 [size =\"32089088\"]\n  10 [size=\"110271147\", alpha=\"0.06\", expect_size=\"33081344\"] \n  10 -> 30 [size =\"33081344\"]\n  10 -> 31 [size =\"33081344\"]\n  10 -> 31 [size =\"33081344\"]\n  10 -> 34 [size =\"33081344\"]\n  11 [size=\"61262507\", alpha=\"0.16\", expect_size=\"18378752\"] \n  11 -> 28 [size =\"18378752\"]\n  11 -> 31 [size =\"18378752\"]\n  11 -> 39 [size =\"18378752\"]\n  12 [size=\"32918187\", alpha=\"0.05\", expect_size=\"9875456\"] \n  12 -> 28 [size =\"9875456\"]\n  12 -> 29 [size =\"9875456\"]\n  12 -> 34 [size =\"9875456\"]\n  12 -> 36 [size =\"9875456\"]\n  12 -> 40 [size =\"9875456\"]\n  13 [size=\"69635413\", alpha=\"0.12\", expect_size=\"20890624\"] \n  13 -> 34 [size =\"20890624\"]\n  13 -> 39 [size =\"20890624\"]\n  13 -> 40 [size =\"20890624\"]\n  14 [size=\"63552853\", alpha=\"0.08\", expect_size=\"19065856\"] \n  14 -> 31 [size =\"19065856\"]\n  14 -> 34 [size =\"19065856\"]\n  14 -> 36 [size =\"19065856\"]\n  15 [size=\"119350613\", alpha=\"0.16\", expect_size=\"35805184\"] \n  15 -> 29 [size =\"35805184\"]\n  15 -> 30 [size =\"35805184\"]\n  15 -> 40 [size =\"35805184\"]\n  16 [size=\"86309547\", alpha=\"0.06\", expect_size=\"25892864\"] \n  16 -> 28 [size =\"25892864\"]\n  16 -> 30 [size =\"25892864\"]\n  16 -> 36 [size =\"25892864\"]\n  16 -> 40 [size =\"25892864\"]\n  17 [size=\"121610240\", alpha=\"0.07\", expect_size=\"36483072\"] \n  17 -> 28 [size =\"36483072\"]\n  17 -> 29 [size =\"36483072\"]\n  17 -> 32 [size =\"36483072\"]\n  17 -> 35 [size =\"36483072\"]\n  17 -> 36 [size =\"36483072\"]\n  17 -> 38 [size =\"36483072\"]\n  17 -> 40 [size =\"36483072\"]\n  18 [size=\"83292160\", alpha=\"0.05\", expect_size=\"24987648\"] \n  18 -> 28 [size =\"24987648\"]\n  18 -> 30 [size =\"24987648\"]\n  18 -> 32 [size =\"24987648\"]\n  18 -> 38 [size =\"24987648\"]\n  18 -> 40 [size =\"24987648\"]\n  19 [size=\"100829867\", alpha=\"0.20\", expect_size=\"30248960\"] \n  19 -> 28 [size =\"30248960\"]\n  19 -> 29 [size =\"30248960\"]\n  19 -> 30 [size =\"30248960\"]\n  20 [size=\"54309547\", alpha=\"0.04\", expect_size=\"16292864\"] \n  20 -> 28 [size =\"16292864\"]\n  20 -> 29 [size =\"16292864\"]\n  20 -> 31 [size =\"16292864\"]\n  20 -> 32 [size =\"16292864\"]\n  21 [size=\"100519253\", alpha=\"0.09\", expect_size=\"30155776\"] \n  21 -> 31 [size =\"30155776\"]\n  21 -> 39 [size =\"30155776\"]\n  21 -> 40 [size =\"30155776\"]\n  22 [size=\"67925333\", alpha=\"0.06\", expect_size=\"20377600\"] \n  22 -> 29 [size =\"20377600\"]\n  22 -> 38 [size =\"20377600\"]\n  23 [size=\"107318613\", alpha=\"0.12\", expect_size=\"32195584\"] \n  23 -> 28 [size =\"32195584\"]\n  23 -> 30 [size =\"32195584\"]\n  23 -> 31 [size =\"32195584\"]\n  23 -> 36 [size =\"32195584\"]\n  23 -> 38 [size =\"32195584\"]\n  24 [size=\"43929600\", alpha=\"0.03\", expect_size=\"13178880\"] \n  24 -> 28 [size =\"13178880\"]\n  24 -> 32 [size =\"13178880\"]\n  24 -> 35 [size =\"13178880\"]\n  24 -> 36 [size =\"13178880\"]\n  25 [size=\"105345707\", alpha=\"0.01\", expect_size=\"31603712\"] \n  25 -> 29 [size =\"31603712\"]\n  25 -> 32 [size =\"31603712\"]\n  25 -> 36 [size =\"31603712\"]\n  26 [size=\"74881707\", alpha=\"0.12\", expect_size=\"22464512\"] \n  26 -> 31 [size =\"22464512\"]\n  26 -> 32 [size =\"22464512\"]\n  26 -> 38 [size =\"22464512\"]\n  26 -> 40 [size =\"22464512\"]\n  27 [size=\"120671573\", alpha=\"0.17\", expect_size=\"36201472\"] \n  27 -> 38 [size =\"36201472\"]\n  28 [size=\"173697707\", alpha=\"0.10\", expect_size=\"52109312\"] \n  29 [size=\"54821547\", alpha=\"0.14\", expect_size=\"16446464\"] \n  30 [size=\"51694933\", alpha=\"0.10\", expect_size=\"15508480\"] \n  31 [size=\"85490347\", alpha=\"0.11\", expect_size=\"25647104\"] \n  32 [size=\"155607040\", alpha=\"0.15\", expect_size=\"46682112\"] \n  33 [size=\"47243947\", alpha=\"0.05\", expect_size=\"14173184\"] \n  34 [size=\"142807040\", alpha=\"0.00\", expect_size=\"42842112\"] \n  35 [size=\"164037973\", alpha=\"0.09\", expect_size=\"49211392\"] \n  36 [size=\"173595307\", alpha=\"0.07\", expect_size=\"52078592\"] \n  37 [size=\"110759253\", alpha=\"0.18\", expect_size=\"33227776\"] \n  38 [size=\"90378240\", alpha=\"0.17\", expect_size=\"27113472\"] \n  39 [size=\"169427627\", alpha=\"0.07\", expect_size=\"50828288\"] \n  40 [size=\"122815147\", alpha=\"0.01\", expect_size=\"36844544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84500480\", alpha=\"0.14\", expect_size=\"33800192\"] \n  1 -> 28 [size =\"33800192\"]\n  1 -> 29 [size =\"33800192\"]\n  1 -> 30 [size =\"33800192\"]\n  1 -> 32 [size =\"33800192\"]\n  1 -> 37 [size =\"33800192\"]\n  2 [size=\"22589440\", alpha=\"0.17\", expect_size=\"9035776\"] \n  2 -> 26 [size =\"9035776\"]\n  2 -> 28 [size =\"9035776\"]\n  2 -> 29 [size =\"9035776\"]\n  2 -> 30 [size =\"9035776\"]\n  2 -> 37 [size =\"9035776\"]\n  2 -> 39 [size =\"9035776\"]\n  3 [size=\"18698240\", alpha=\"0.10\", expect_size=\"7479296\"] \n  3 -> 26 [size =\"7479296\"]\n  3 -> 28 [size =\"7479296\"]\n  3 -> 32 [size =\"7479296\"]\n  3 -> 34 [size =\"7479296\"]\n  3 -> 37 [size =\"7479296\"]\n  4 [size=\"20254720\", alpha=\"0.19\", expect_size=\"8101888\"] \n  4 -> 26 [size =\"8101888\"]\n  4 -> 28 [size =\"8101888\"]\n  4 -> 29 [size =\"8101888\"]\n  4 -> 30 [size =\"8101888\"]\n  4 -> 31 [size =\"8101888\"]\n  4 -> 33 [size =\"8101888\"]\n  4 -> 40 [size =\"8101888\"]\n  5 [size=\"117918720\", alpha=\"0.03\", expect_size=\"47167488\"] \n  5 -> 26 [size =\"47167488\"]\n  5 -> 29 [size =\"47167488\"]\n  5 -> 30 [size =\"47167488\"]\n  5 -> 33 [size =\"47167488\"]\n  5 -> 34 [size =\"47167488\"]\n  5 -> 36 [size =\"47167488\"]\n  5 -> 39 [size =\"47167488\"]\n  5 -> 40 [size =\"47167488\"]\n  6 [size=\"30855680\", alpha=\"0.11\", expect_size=\"12342272\"] \n  6 -> 29 [size =\"12342272\"]\n  6 -> 31 [size =\"12342272\"]\n  6 -> 34 [size =\"12342272\"]\n  7 [size=\"58426880\", alpha=\"0.03\", expect_size=\"23370752\"] \n  7 -> 28 [size =\"23370752\"]\n  7 -> 32 [size =\"23370752\"]\n  7 -> 35 [size =\"23370752\"]\n  7 -> 38 [size =\"23370752\"]\n  7 -> 39 [size =\"23370752\"]\n  8 [size=\"26690560\", alpha=\"0.12\", expect_size=\"10676224\"] \n  8 -> 27 [size =\"10676224\"]\n  8 -> 28 [size =\"10676224\"]\n  8 -> 32 [size =\"10676224\"]\n  8 -> 34 [size =\"10676224\"]\n  8 -> 37 [size =\"10676224\"]\n  8 -> 38 [size =\"10676224\"]\n  8 -> 39 [size =\"10676224\"]\n  9 [size=\"13212160\", alpha=\"0.18\", expect_size=\"5284864\"] \n  9 -> 26 [size =\"5284864\"]\n  9 -> 28 [size =\"5284864\"]\n  9 -> 30 [size =\"5284864\"]\n  9 -> 31 [size =\"5284864\"]\n  9 -> 39 [size =\"5284864\"]\n  10 [size=\"40481280\", alpha=\"0.04\", expect_size=\"16192512\"] \n  10 -> 26 [size =\"16192512\"]\n  10 -> 28 [size =\"16192512\"]\n  10 -> 29 [size =\"16192512\"]\n  10 -> 35 [size =\"16192512\"]\n  10 -> 37 [size =\"16192512\"]\n  10 -> 38 [size =\"16192512\"]\n  10 -> 39 [size =\"16192512\"]\n  11 [size=\"42472960\", alpha=\"0.17\", expect_size=\"16989184\"] \n  11 -> 29 [size =\"16989184\"]\n  11 -> 38 [size =\"16989184\"]\n  11 -> 39 [size =\"16989184\"]\n  11 -> 40 [size =\"16989184\"]\n  12 [size=\"123947520\", alpha=\"0.01\", expect_size=\"49579008\"] \n  12 -> 24 [size =\"49579008\"]\n  12 -> 25 [size =\"49579008\"]\n  12 -> 27 [size =\"49579008\"]\n  12 -> 35 [size =\"49579008\"]\n  12 -> 38 [size =\"49579008\"]\n  12 -> 39 [size =\"49579008\"]\n  12 -> 40 [size =\"49579008\"]\n  13 [size=\"103516160\", alpha=\"0.11\", expect_size=\"41406464\"] \n  13 -> 25 [size =\"41406464\"]\n  13 -> 33 [size =\"41406464\"]\n  13 -> 34 [size =\"41406464\"]\n  13 -> 37 [size =\"41406464\"]\n  13 -> 38 [size =\"41406464\"]\n  13 -> 39 [size =\"41406464\"]\n  13 -> 40 [size =\"41406464\"]\n  14 [size=\"42680320\", alpha=\"0.03\", expect_size=\"17072128\"] \n  14 -> 25 [size =\"17072128\"]\n  14 -> 26 [size =\"17072128\"]\n  14 -> 29 [size =\"17072128\"]\n  14 -> 39 [size =\"17072128\"]\n  15 [size=\"38338560\", alpha=\"0.00\", expect_size=\"15335424\"] \n  15 -> 25 [size =\"15335424\"]\n  15 -> 29 [size =\"15335424\"]\n  15 -> 31 [size =\"15335424\"]\n  15 -> 38 [size =\"15335424\"]\n  15 -> 39 [size =\"15335424\"]\n  16 [size=\"57105920\", alpha=\"0.18\", expect_size=\"22842368\"] \n  16 -> 25 [size =\"22842368\"]\n  16 -> 28 [size =\"22842368\"]\n  16 -> 29 [size =\"22842368\"]\n  16 -> 32 [size =\"22842368\"]\n  16 -> 34 [size =\"22842368\"]\n  16 -> 38 [size =\"22842368\"]\n  17 [size=\"122631680\", alpha=\"0.01\", expect_size=\"49052672\"] \n  17 -> 24 [size =\"49052672\"]\n  17 -> 25 [size =\"49052672\"]\n  17 -> 26 [size =\"49052672\"]\n  17 -> 34 [size =\"49052672\"]\n  17 -> 35 [size =\"49052672\"]\n  17 -> 37 [size =\"49052672\"]\n  17 -> 38 [size =\"49052672\"]\n  17 -> 40 [size =\"49052672\"]\n  18 [size=\"24839680\", alpha=\"0.09\", expect_size=\"9935872\"] \n  18 -> 24 [size =\"9935872\"]\n  18 -> 34 [size =\"9935872\"]\n  18 -> 37 [size =\"9935872\"]\n  18 -> 38 [size =\"9935872\"]\n  18 -> 40 [size =\"9935872\"]\n  19 [size=\"93404160\", alpha=\"0.02\", expect_size=\"37361664\"] \n  19 -> 25 [size =\"37361664\"]\n  19 -> 31 [size =\"37361664\"]\n  19 -> 34 [size =\"37361664\"]\n  19 -> 37 [size =\"37361664\"]\n  19 -> 38 [size =\"37361664\"]\n  19 -> 40 [size =\"37361664\"]\n  20 [size=\"81953280\", alpha=\"0.01\", expect_size=\"32781312\"] \n  20 -> 27 [size =\"32781312\"]\n  20 -> 28 [size =\"32781312\"]\n  20 -> 31 [size =\"32781312\"]\n  20 -> 33 [size =\"32781312\"]\n  20 -> 34 [size =\"32781312\"]\n  20 -> 40 [size =\"32781312\"]\n  21 [size=\"107002880\", alpha=\"0.13\", expect_size=\"42801152\"] \n  21 -> 27 [size =\"42801152\"]\n  21 -> 28 [size =\"42801152\"]\n  21 -> 29 [size =\"42801152\"]\n  21 -> 31 [size =\"42801152\"]\n  21 -> 32 [size =\"42801152\"]\n  21 -> 34 [size =\"42801152\"]\n  21 -> 39 [size =\"42801152\"]\n  22 [size=\"89932800\", alpha=\"0.07\", expect_size=\"35973120\"] \n  22 -> 25 [size =\"35973120\"]\n  22 -> 26 [size =\"35973120\"]\n  22 -> 27 [size =\"35973120\"]\n  22 -> 28 [size =\"35973120\"]\n  22 -> 29 [size =\"35973120\"]\n  22 -> 39 [size =\"35973120\"]\n  23 [size=\"94617600\", alpha=\"0.01\", expect_size=\"37847040\"] \n  23 -> 28 [size =\"37847040\"]\n  23 -> 29 [size =\"37847040\"]\n  23 -> 32 [size =\"37847040\"]\n  23 -> 35 [size =\"37847040\"]\n  23 -> 39 [size =\"37847040\"]\n  24 [size=\"42856960\", alpha=\"0.17\", expect_size=\"17142784\"] \n  25 [size=\"62225920\", alpha=\"0.10\", expect_size=\"24890368\"] \n  26 [size=\"63129600\", alpha=\"0.07\", expect_size=\"25251840\"] \n  27 [size=\"50040320\", alpha=\"0.11\", expect_size=\"20016128\"] \n  28 [size=\"56619520\", alpha=\"0.17\", expect_size=\"22647808\"] \n  29 [size=\"108142080\", alpha=\"0.03\", expect_size=\"43256832\"] \n  30 [size=\"117721600\", alpha=\"0.14\", expect_size=\"47088640\"] \n  31 [size=\"125849600\", alpha=\"0.11\", expect_size=\"50339840\"] \n  32 [size=\"85959680\", alpha=\"0.05\", expect_size=\"34383872\"] \n  33 [size=\"125496320\", alpha=\"0.15\", expect_size=\"50198528\"] \n  34 [size=\"14120960\", alpha=\"0.11\", expect_size=\"5648384\"] \n  35 [size=\"112883200\", alpha=\"0.10\", expect_size=\"45153280\"] \n  36 [size=\"54730240\", alpha=\"0.17\", expect_size=\"21892096\"] \n  37 [size=\"93342720\", alpha=\"0.02\", expect_size=\"37337088\"] \n  38 [size=\"38110720\", alpha=\"0.10\", expect_size=\"15244288\"] \n  39 [size=\"20584960\", alpha=\"0.11\", expect_size=\"8233984\"] \n  40 [size=\"40867840\", alpha=\"0.04\", expect_size=\"16347136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102617600\", alpha=\"0.00\", expect_size=\"41047040\"] \n  1 -> 2 [size =\"41047040\"]\n  1 -> 3 [size =\"41047040\"]\n  2 [size=\"44334080\", alpha=\"0.07\", expect_size=\"17733632\"] \n  2 -> 4 [size =\"17733632\"]\n  2 -> 5 [size =\"17733632\"]\n  3 [size=\"110773760\", alpha=\"0.18\", expect_size=\"44309504\"] \n  4 [size=\"15600640\", alpha=\"0.17\", expect_size=\"6240256\"] \n  4 -> 6 [size =\"6240256\"]\n  4 -> 8 [size =\"6240256\"]\n  5 [size=\"96023040\", alpha=\"0.04\", expect_size=\"38409216\"] \n  5 -> 7 [size =\"38409216\"]\n  6 [size=\"120488960\", alpha=\"0.05\", expect_size=\"48195584\"] \n  7 [size=\"63664640\", alpha=\"0.13\", expect_size=\"25465856\"] \n  8 [size=\"22832640\", alpha=\"0.13\", expect_size=\"9133056\"] \n  8 -> 9 [size =\"9133056\"]\n  9 [size=\"67530240\", alpha=\"0.14\", expect_size=\"27012096\"] \n  9 -> 10 [size =\"27012096\"]\n  9 -> 11 [size =\"27012096\"]\n  9 -> 12 [size =\"27012096\"]\n  10 [size=\"110594560\", alpha=\"0.14\", expect_size=\"44237824\"] \n  11 [size=\"71774720\", alpha=\"0.12\", expect_size=\"28709888\"] \n  11 -> 13 [size =\"28709888\"]\n  11 -> 14 [size =\"28709888\"]\n  12 [size=\"74022400\", alpha=\"0.13\", expect_size=\"29608960\"] \n  12 -> 14 [size =\"29608960\"]\n  13 [size=\"114764800\", alpha=\"0.13\", expect_size=\"45905920\"] \n  13 -> 15 [size =\"45905920\"]\n  13 -> 16 [size =\"45905920\"]\n  14 [size=\"103651840\", alpha=\"0.05\", expect_size=\"41460736\"] \n  15 [size=\"84999680\", alpha=\"0.17\", expect_size=\"33999872\"] \n  15 -> 19 [size =\"33999872\"]\n  16 [size=\"106350080\", alpha=\"0.04\", expect_size=\"42540032\"] \n  16 -> 17 [size =\"42540032\"]\n  16 -> 18 [size =\"42540032\"]\n  17 [size=\"16104960\", alpha=\"0.19\", expect_size=\"6441984\"] \n  17 -> 21 [size =\"6441984\"]\n  18 [size=\"92326400\", alpha=\"0.18\", expect_size=\"36930560\"] \n  19 [size=\"50150400\", alpha=\"0.16\", expect_size=\"20060160\"] \n  19 -> 20 [size =\"20060160\"]\n  19 -> 21 [size =\"20060160\"]\n  20 [size=\"14871040\", alpha=\"0.18\", expect_size=\"5948416\"] \n  20 -> 22 [size =\"5948416\"]\n  20 -> 23 [size =\"5948416\"]\n  20 -> 24 [size =\"5948416\"]\n  21 [size=\"99028480\", alpha=\"0.15\", expect_size=\"39611392\"] \n  21 -> 25 [size =\"39611392\"]\n  22 [size=\"49579520\", alpha=\"0.18\", expect_size=\"19831808\"] \n  22 -> 26 [size =\"19831808\"]\n  23 [size=\"125486080\", alpha=\"0.17\", expect_size=\"50194432\"] \n  23 -> 27 [size =\"50194432\"]\n  24 [size=\"86174720\", alpha=\"0.17\", expect_size=\"34469888\"] \n  25 [size=\"113909760\", alpha=\"0.10\", expect_size=\"45563904\"] \n  26 [size=\"93386240\", alpha=\"0.02\", expect_size=\"37354496\"] \n  26 -> 31 [size =\"37354496\"]\n  27 [size=\"116485120\", alpha=\"0.03\", expect_size=\"46594048\"] \n  27 -> 28 [size =\"46594048\"]\n  27 -> 29 [size =\"46594048\"]\n  27 -> 30 [size =\"46594048\"]\n  28 [size=\"112609280\", alpha=\"0.05\", expect_size=\"45043712\"] \n  28 -> 32 [size =\"45043712\"]\n  29 [size=\"103587840\", alpha=\"0.16\", expect_size=\"41435136\"] \n  29 -> 32 [size =\"41435136\"]\n  30 [size=\"77493760\", alpha=\"0.04\", expect_size=\"30997504\"] \n  31 [size=\"64399360\", alpha=\"0.02\", expect_size=\"25759744\"] \n  32 [size=\"35852800\", alpha=\"0.10\", expect_size=\"14341120\"] \n  32 -> 33 [size =\"14341120\"]\n  32 -> 34 [size =\"14341120\"]\n  33 [size=\"23078400\", alpha=\"0.16\", expect_size=\"9231360\"] \n  33 -> 36 [size =\"9231360\"]\n  34 [size=\"123745280\", alpha=\"0.16\", expect_size=\"49498112\"] \n  34 -> 35 [size =\"49498112\"]\n  35 [size=\"104419840\", alpha=\"0.09\", expect_size=\"41767936\"] \n  36 [size=\"48020480\", alpha=\"0.18\", expect_size=\"19208192\"] \n  36 -> 37 [size =\"19208192\"]\n  37 [size=\"61928960\", alpha=\"0.07\", expect_size=\"24771584\"] \n  37 -> 38 [size =\"24771584\"]\n  37 -> 39 [size =\"24771584\"]\n  37 -> 40 [size =\"24771584\"]\n  38 [size=\"78740480\", alpha=\"0.10\", expect_size=\"31496192\"] \n  39 [size=\"108180480\", alpha=\"0.19\", expect_size=\"43272192\"] \n  40 [size=\"86707200\", alpha=\"0.08\", expect_size=\"34682880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24835413\", alpha=\"0.07\", expect_size=\"7450624\"] \n  2 [size=\"155897173\", alpha=\"0.11\", expect_size=\"46769152\"] \n  2 -> 4 [size =\"46769152\"]\n  2 -> 5 [size =\"46769152\"]\n  3 [size=\"28252160\", alpha=\"0.09\", expect_size=\"8475648\"] \n  3 -> 4 [size =\"8475648\"]\n  3 -> 5 [size =\"8475648\"]\n  4 [size=\"34884267\", alpha=\"0.13\", expect_size=\"10465280\"] \n  4 -> 7 [size =\"10465280\"]\n  5 [size=\"133543253\", alpha=\"0.07\", expect_size=\"40062976\"] \n  5 -> 6 [size =\"40062976\"]\n  5 -> 7 [size =\"40062976\"]\n  6 [size=\"23306240\", alpha=\"0.13\", expect_size=\"6991872\"] \n  6 -> 8 [size =\"6991872\"]\n  6 -> 9 [size =\"6991872\"]\n  7 [size=\"84456107\", alpha=\"0.14\", expect_size=\"25336832\"] \n  7 -> 8 [size =\"25336832\"]\n  8 [size=\"153562453\", alpha=\"0.04\", expect_size=\"46068736\"] \n  9 [size=\"53220693\", alpha=\"0.12\", expect_size=\"15966208\"] \n  9 -> 10 [size =\"15966208\"]\n  9 -> 11 [size =\"15966208\"]\n  10 [size=\"115616427\", alpha=\"0.02\", expect_size=\"34684928\"] \n  10 -> 12 [size =\"34684928\"]\n  10 -> 13 [size =\"34684928\"]\n  11 [size=\"67587413\", alpha=\"0.04\", expect_size=\"20276224\"] \n  11 -> 12 [size =\"20276224\"]\n  11 -> 13 [size =\"20276224\"]\n  11 -> 14 [size =\"20276224\"]\n  12 [size=\"124538880\", alpha=\"0.13\", expect_size=\"37361664\"] \n  12 -> 15 [size =\"37361664\"]\n  13 [size=\"52647253\", alpha=\"0.00\", expect_size=\"15794176\"] \n  13 -> 16 [size =\"15794176\"]\n  14 [size=\"126416213\", alpha=\"0.06\", expect_size=\"37924864\"] \n  15 [size=\"70611627\", alpha=\"0.17\", expect_size=\"21183488\"] \n  15 -> 17 [size =\"21183488\"]\n  15 -> 18 [size =\"21183488\"]\n  16 [size=\"128713387\", alpha=\"0.12\", expect_size=\"38614016\"] \n  16 -> 17 [size =\"38614016\"]\n  17 [size=\"72048640\", alpha=\"0.19\", expect_size=\"21614592\"] \n  17 -> 21 [size =\"21614592\"]\n  18 [size=\"22381227\", alpha=\"0.19\", expect_size=\"6714368\"] \n  18 -> 19 [size =\"6714368\"]\n  18 -> 20 [size =\"6714368\"]\n  18 -> 21 [size =\"6714368\"]\n  19 [size=\"56261973\", alpha=\"0.15\", expect_size=\"16878592\"] \n  19 -> 22 [size =\"16878592\"]\n  19 -> 24 [size =\"16878592\"]\n  20 [size=\"148916907\", alpha=\"0.09\", expect_size=\"44675072\"] \n  20 -> 22 [size =\"44675072\"]\n  21 [size=\"166017707\", alpha=\"0.04\", expect_size=\"49805312\"] \n  21 -> 22 [size =\"49805312\"]\n  21 -> 23 [size =\"49805312\"]\n  22 [size=\"44103680\", alpha=\"0.17\", expect_size=\"13231104\"] \n  23 [size=\"149527893\", alpha=\"0.11\", expect_size=\"44858368\"] \n  23 -> 25 [size =\"44858368\"]\n  23 -> 26 [size =\"44858368\"]\n  24 [size=\"152620373\", alpha=\"0.08\", expect_size=\"45786112\"] \n  24 -> 25 [size =\"45786112\"]\n  24 -> 26 [size =\"45786112\"]\n  25 [size=\"39864320\", alpha=\"0.19\", expect_size=\"11959296\"] \n  25 -> 27 [size =\"11959296\"]\n  25 -> 28 [size =\"11959296\"]\n  25 -> 29 [size =\"11959296\"]\n  26 [size=\"19476480\", alpha=\"0.11\", expect_size=\"5842944\"] \n  26 -> 27 [size =\"5842944\"]\n  26 -> 28 [size =\"5842944\"]\n  26 -> 29 [size =\"5842944\"]\n  27 [size=\"112708267\", alpha=\"0.11\", expect_size=\"33812480\"] \n  27 -> 30 [size =\"33812480\"]\n  27 -> 31 [size =\"33812480\"]\n  28 [size=\"105233067\", alpha=\"0.09\", expect_size=\"31569920\"] \n  28 -> 30 [size =\"31569920\"]\n  28 -> 31 [size =\"31569920\"]\n  29 [size=\"95593813\", alpha=\"0.11\", expect_size=\"28678144\"] \n  29 -> 30 [size =\"28678144\"]\n  29 -> 31 [size =\"28678144\"]\n  30 [size=\"55835307\", alpha=\"0.06\", expect_size=\"16750592\"] \n  30 -> 32 [size =\"16750592\"]\n  30 -> 33 [size =\"16750592\"]\n  31 [size=\"128228693\", alpha=\"0.07\", expect_size=\"38468608\"] \n  31 -> 32 [size =\"38468608\"]\n  31 -> 33 [size =\"38468608\"]\n  32 [size=\"162846720\", alpha=\"0.02\", expect_size=\"48854016\"] \n  32 -> 34 [size =\"48854016\"]\n  32 -> 35 [size =\"48854016\"]\n  32 -> 36 [size =\"48854016\"]\n  33 [size=\"140827307\", alpha=\"0.01\", expect_size=\"42248192\"] \n  33 -> 34 [size =\"42248192\"]\n  33 -> 36 [size =\"42248192\"]\n  34 [size=\"72946347\", alpha=\"0.14\", expect_size=\"21883904\"] \n  34 -> 37 [size =\"21883904\"]\n  34 -> 38 [size =\"21883904\"]\n  35 [size=\"133905067\", alpha=\"0.14\", expect_size=\"40171520\"] \n  35 -> 37 [size =\"40171520\"]\n  36 [size=\"125194240\", alpha=\"0.08\", expect_size=\"37558272\"] \n  36 -> 37 [size =\"37558272\"]\n  36 -> 38 [size =\"37558272\"]\n  36 -> 39 [size =\"37558272\"]\n  37 [size=\"52647253\", alpha=\"0.09\", expect_size=\"15794176\"] \n  37 -> 40 [size =\"15794176\"]\n  38 [size=\"140533760\", alpha=\"0.10\", expect_size=\"42160128\"] \n  38 -> 40 [size =\"42160128\"]\n  39 [size=\"53080747\", alpha=\"0.16\", expect_size=\"15924224\"] \n  39 -> 40 [size =\"15924224\"]\n  40 [size=\"140612267\", alpha=\"0.20\", expect_size=\"42183680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44971520\", alpha=\"0.11\", expect_size=\"17988608\"] \n  1 -> 36 [size =\"17988608\"]\n  1 -> 37 [size =\"17988608\"]\n  1 -> 38 [size =\"17988608\"]\n  1 -> 39 [size =\"17988608\"]\n  2 [size=\"113789440\", alpha=\"0.16\", expect_size=\"45515776\"] \n  2 -> 37 [size =\"45515776\"]\n  2 -> 37 [size =\"45515776\"]\n  2 -> 38 [size =\"45515776\"]\n  2 -> 39 [size =\"45515776\"]\n  3 [size=\"40102400\", alpha=\"0.08\", expect_size=\"16040960\"] \n  3 -> 36 [size =\"16040960\"]\n  3 -> 38 [size =\"16040960\"]\n  3 -> 38 [size =\"16040960\"]\n  4 [size=\"116462080\", alpha=\"0.18\", expect_size=\"46584832\"] \n  4 -> 36 [size =\"46584832\"]\n  4 -> 38 [size =\"46584832\"]\n  4 -> 40 [size =\"46584832\"]\n  5 [size=\"16816640\", alpha=\"0.09\", expect_size=\"6726656\"] \n  5 -> 36 [size =\"6726656\"]\n  5 -> 38 [size =\"6726656\"]\n  5 -> 39 [size =\"6726656\"]\n  5 -> 40 [size =\"6726656\"]\n  6 [size=\"118251520\", alpha=\"0.08\", expect_size=\"47300608\"] \n  6 -> 38 [size =\"47300608\"]\n  6 -> 38 [size =\"47300608\"]\n  6 -> 39 [size =\"47300608\"]\n  6 -> 40 [size =\"47300608\"]\n  7 [size=\"101898240\", alpha=\"0.16\", expect_size=\"40759296\"] \n  7 -> 38 [size =\"40759296\"]\n  7 -> 39 [size =\"40759296\"]\n  7 -> 40 [size =\"40759296\"]\n  8 [size=\"64773120\", alpha=\"0.02\", expect_size=\"25909248\"] \n  8 -> 37 [size =\"25909248\"]\n  8 -> 39 [size =\"25909248\"]\n  8 -> 40 [size =\"25909248\"]\n  9 [size=\"15203840\", alpha=\"0.16\", expect_size=\"6081536\"] \n  9 -> 37 [size =\"6081536\"]\n  10 [size=\"38118400\", alpha=\"0.16\", expect_size=\"15247360\"] \n  11 [size=\"42977280\", alpha=\"0.02\", expect_size=\"17190912\"] \n  11 -> 36 [size =\"17190912\"]\n  11 -> 38 [size =\"17190912\"]\n  11 -> 39 [size =\"17190912\"]\n  11 -> 40 [size =\"17190912\"]\n  12 [size=\"109793280\", alpha=\"0.07\", expect_size=\"43917312\"] \n  12 -> 38 [size =\"43917312\"]\n  12 -> 39 [size =\"43917312\"]\n  13 [size=\"88486400\", alpha=\"0.05\", expect_size=\"35394560\"] \n  13 -> 40 [size =\"35394560\"]\n  14 [size=\"18882560\", alpha=\"0.09\", expect_size=\"7553024\"] \n  14 -> 36 [size =\"7553024\"]\n  14 -> 37 [size =\"7553024\"]\n  14 -> 38 [size =\"7553024\"]\n  14 -> 40 [size =\"7553024\"]\n  15 [size=\"122990080\", alpha=\"0.17\", expect_size=\"49196032\"] \n  15 -> 40 [size =\"49196032\"]\n  16 [size=\"60915200\", alpha=\"0.03\", expect_size=\"24366080\"] \n  16 -> 40 [size =\"24366080\"]\n  17 [size=\"108254720\", alpha=\"0.10\", expect_size=\"43301888\"] \n  17 -> 36 [size =\"43301888\"]\n  17 -> 38 [size =\"43301888\"]\n  17 -> 40 [size =\"43301888\"]\n  18 [size=\"85143040\", alpha=\"0.01\", expect_size=\"34057216\"] \n  18 -> 36 [size =\"34057216\"]\n  18 -> 38 [size =\"34057216\"]\n  18 -> 39 [size =\"34057216\"]\n  19 [size=\"94243840\", alpha=\"0.18\", expect_size=\"37697536\"] \n  19 -> 36 [size =\"37697536\"]\n  19 -> 39 [size =\"37697536\"]\n  19 -> 40 [size =\"37697536\"]\n  20 [size=\"73413120\", alpha=\"0.11\", expect_size=\"29365248\"] \n  20 -> 36 [size =\"29365248\"]\n  20 -> 40 [size =\"29365248\"]\n  21 [size=\"52096000\", alpha=\"0.09\", expect_size=\"20838400\"] \n  21 -> 36 [size =\"20838400\"]\n  21 -> 38 [size =\"20838400\"]\n  21 -> 40 [size =\"20838400\"]\n  22 [size=\"62064640\", alpha=\"0.05\", expect_size=\"24825856\"] \n  22 -> 38 [size =\"24825856\"]\n  22 -> 39 [size =\"24825856\"]\n  22 -> 40 [size =\"24825856\"]\n  23 [size=\"101401600\", alpha=\"0.05\", expect_size=\"40560640\"] \n  23 -> 36 [size =\"40560640\"]\n  23 -> 37 [size =\"40560640\"]\n  23 -> 39 [size =\"40560640\"]\n  24 [size=\"130670080\", alpha=\"0.02\", expect_size=\"52268032\"] \n  24 -> 38 [size =\"52268032\"]\n  24 -> 39 [size =\"52268032\"]\n  24 -> 40 [size =\"52268032\"]\n  25 [size=\"63979520\", alpha=\"0.00\", expect_size=\"25591808\"] \n  25 -> 36 [size =\"25591808\"]\n  25 -> 38 [size =\"25591808\"]\n  26 [size=\"44385280\", alpha=\"0.16\", expect_size=\"17754112\"] \n  26 -> 38 [size =\"17754112\"]\n  26 -> 38 [size =\"17754112\"]\n  26 -> 40 [size =\"17754112\"]\n  27 [size=\"61560320\", alpha=\"0.07\", expect_size=\"24624128\"] \n  27 -> 38 [size =\"24624128\"]\n  27 -> 39 [size =\"24624128\"]\n  27 -> 40 [size =\"24624128\"]\n  28 [size=\"120573440\", alpha=\"0.07\", expect_size=\"48229376\"] \n  28 -> 38 [size =\"48229376\"]\n  28 -> 39 [size =\"48229376\"]\n  28 -> 40 [size =\"48229376\"]\n  29 [size=\"123681280\", alpha=\"0.08\", expect_size=\"49472512\"] \n  30 [size=\"109698560\", alpha=\"0.12\", expect_size=\"43879424\"] \n  30 -> 38 [size =\"43879424\"]\n  30 -> 40 [size =\"43879424\"]\n  31 [size=\"54438400\", alpha=\"0.01\", expect_size=\"21775360\"] \n  31 -> 40 [size =\"21775360\"]\n  32 [size=\"107735040\", alpha=\"0.07\", expect_size=\"43094016\"] \n  32 -> 39 [size =\"43094016\"]\n  32 -> 40 [size =\"43094016\"]\n  33 [size=\"16376320\", alpha=\"0.06\", expect_size=\"6550528\"] \n  34 [size=\"43287040\", alpha=\"0.06\", expect_size=\"17314816\"] \n  34 -> 38 [size =\"17314816\"]\n  34 -> 39 [size =\"17314816\"]\n  34 -> 40 [size =\"17314816\"]\n  35 [size=\"55895040\", alpha=\"0.04\", expect_size=\"22358016\"] \n  35 -> 36 [size =\"22358016\"]\n  35 -> 37 [size =\"22358016\"]\n  35 -> 38 [size =\"22358016\"]\n  35 -> 39 [size =\"22358016\"]\n  35 -> 40 [size =\"22358016\"]\n  36 [size=\"57909760\", alpha=\"0.10\", expect_size=\"23163904\"] \n  37 [size=\"36513280\", alpha=\"0.13\", expect_size=\"14605312\"] \n  38 [size=\"80494080\", alpha=\"0.08\", expect_size=\"32197632\"] \n  39 [size=\"123558400\", alpha=\"0.16\", expect_size=\"49423360\"] \n  40 [size=\"49835520\", alpha=\"0.15\", expect_size=\"19934208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40007680\", alpha=\"0.18\", expect_size=\"20003840\"] \n  1 -> 34 [size =\"20003840\"]\n  1 -> 36 [size =\"20003840\"]\n  1 -> 40 [size =\"20003840\"]\n  2 [size=\"53901312\", alpha=\"0.10\", expect_size=\"26950656\"] \n  2 -> 32 [size =\"26950656\"]\n  2 -> 38 [size =\"26950656\"]\n  2 -> 39 [size =\"26950656\"]\n  3 [size=\"82671616\", alpha=\"0.00\", expect_size=\"41335808\"] \n  3 -> 34 [size =\"41335808\"]\n  4 [size=\"29622272\", alpha=\"0.13\", expect_size=\"14811136\"] \n  4 -> 32 [size =\"14811136\"]\n  4 -> 35 [size =\"14811136\"]\n  4 -> 39 [size =\"14811136\"]\n  4 -> 40 [size =\"14811136\"]\n  5 [size=\"90542080\", alpha=\"0.18\", expect_size=\"45271040\"] \n  5 -> 31 [size =\"45271040\"]\n  5 -> 32 [size =\"45271040\"]\n  5 -> 33 [size =\"45271040\"]\n  5 -> 34 [size =\"45271040\"]\n  5 -> 37 [size =\"45271040\"]\n  5 -> 39 [size =\"45271040\"]\n  5 -> 40 [size =\"45271040\"]\n  6 [size=\"29310976\", alpha=\"0.14\", expect_size=\"14655488\"] \n  6 -> 34 [size =\"14655488\"]\n  6 -> 36 [size =\"14655488\"]\n  6 -> 39 [size =\"14655488\"]\n  6 -> 40 [size =\"14655488\"]\n  7 [size=\"25948160\", alpha=\"0.19\", expect_size=\"12974080\"] \n  7 -> 33 [size =\"12974080\"]\n  7 -> 34 [size =\"12974080\"]\n  7 -> 35 [size =\"12974080\"]\n  7 -> 37 [size =\"12974080\"]\n  7 -> 38 [size =\"12974080\"]\n  7 -> 40 [size =\"12974080\"]\n  8 [size=\"18765824\", alpha=\"0.10\", expect_size=\"9382912\"] \n  8 -> 33 [size =\"9382912\"]\n  8 -> 35 [size =\"9382912\"]\n  8 -> 38 [size =\"9382912\"]\n  9 [size=\"88389632\", alpha=\"0.05\", expect_size=\"44194816\"] \n  9 -> 34 [size =\"44194816\"]\n  9 -> 40 [size =\"44194816\"]\n  10 [size=\"54831104\", alpha=\"0.20\", expect_size=\"27415552\"] \n  10 -> 34 [size =\"27415552\"]\n  10 -> 40 [size =\"27415552\"]\n  11 [size=\"70451200\", alpha=\"0.18\", expect_size=\"35225600\"] \n  11 -> 35 [size =\"35225600\"]\n  11 -> 37 [size =\"35225600\"]\n  11 -> 38 [size =\"35225600\"]\n  12 [size=\"63127552\", alpha=\"0.01\", expect_size=\"31563776\"] \n  12 -> 32 [size =\"31563776\"]\n  12 -> 33 [size =\"31563776\"]\n  12 -> 35 [size =\"31563776\"]\n  12 -> 37 [size =\"31563776\"]\n  12 -> 40 [size =\"31563776\"]\n  13 [size=\"16101376\", alpha=\"0.18\", expect_size=\"8050688\"] \n  13 -> 32 [size =\"8050688\"]\n  13 -> 33 [size =\"8050688\"]\n  13 -> 35 [size =\"8050688\"]\n  14 [size=\"17614848\", alpha=\"0.12\", expect_size=\"8807424\"] \n  14 -> 35 [size =\"8807424\"]\n  14 -> 36 [size =\"8807424\"]\n  14 -> 38 [size =\"8807424\"]\n  14 -> 40 [size =\"8807424\"]\n  15 [size=\"80187392\", alpha=\"0.16\", expect_size=\"40093696\"] \n  15 -> 32 [size =\"40093696\"]\n  15 -> 33 [size =\"40093696\"]\n  15 -> 35 [size =\"40093696\"]\n  15 -> 36 [size =\"40093696\"]\n  15 -> 37 [size =\"40093696\"]\n  16 [size=\"68585472\", alpha=\"0.18\", expect_size=\"34292736\"] \n  16 -> 31 [size =\"34292736\"]\n  16 -> 32 [size =\"34292736\"]\n  16 -> 33 [size =\"34292736\"]\n  16 -> 35 [size =\"34292736\"]\n  16 -> 37 [size =\"34292736\"]\n  17 [size=\"39606272\", alpha=\"0.06\", expect_size=\"19803136\"] \n  17 -> 31 [size =\"19803136\"]\n  17 -> 32 [size =\"19803136\"]\n  17 -> 34 [size =\"19803136\"]\n  17 -> 38 [size =\"19803136\"]\n  17 -> 39 [size =\"19803136\"]\n  18 [size=\"36841472\", alpha=\"0.02\", expect_size=\"18420736\"] \n  18 -> 34 [size =\"18420736\"]\n  18 -> 36 [size =\"18420736\"]\n  18 -> 40 [size =\"18420736\"]\n  19 [size=\"82608128\", alpha=\"0.00\", expect_size=\"41304064\"] \n  19 -> 32 [size =\"41304064\"]\n  19 -> 33 [size =\"41304064\"]\n  19 -> 34 [size =\"41304064\"]\n  19 -> 36 [size =\"41304064\"]\n  19 -> 37 [size =\"41304064\"]\n  19 -> 38 [size =\"41304064\"]\n  19 -> 39 [size =\"41304064\"]\n  19 -> 40 [size =\"41304064\"]\n  20 [size=\"12515328\", alpha=\"0.19\", expect_size=\"6257664\"] \n  20 -> 32 [size =\"6257664\"]\n  20 -> 33 [size =\"6257664\"]\n  20 -> 34 [size =\"6257664\"]\n  20 -> 38 [size =\"6257664\"]\n  20 -> 40 [size =\"6257664\"]\n  21 [size=\"12273664\", alpha=\"0.04\", expect_size=\"6136832\"] \n  21 -> 33 [size =\"6136832\"]\n  21 -> 34 [size =\"6136832\"]\n  21 -> 35 [size =\"6136832\"]\n  21 -> 37 [size =\"6136832\"]\n  21 -> 38 [size =\"6136832\"]\n  21 -> 40 [size =\"6136832\"]\n  22 [size=\"98869248\", alpha=\"0.18\", expect_size=\"49434624\"] \n  22 -> 33 [size =\"49434624\"]\n  22 -> 34 [size =\"49434624\"]\n  22 -> 35 [size =\"49434624\"]\n  22 -> 37 [size =\"49434624\"]\n  22 -> 39 [size =\"49434624\"]\n  22 -> 40 [size =\"49434624\"]\n  23 [size=\"102858752\", alpha=\"0.08\", expect_size=\"51429376\"] \n  23 -> 31 [size =\"51429376\"]\n  23 -> 32 [size =\"51429376\"]\n  23 -> 34 [size =\"51429376\"]\n  23 -> 35 [size =\"51429376\"]\n  23 -> 37 [size =\"51429376\"]\n  23 -> 38 [size =\"51429376\"]\n  23 -> 40 [size =\"51429376\"]\n  24 [size=\"93237248\", alpha=\"0.01\", expect_size=\"46618624\"] \n  24 -> 34 [size =\"46618624\"]\n  24 -> 36 [size =\"46618624\"]\n  24 -> 40 [size =\"46618624\"]\n  25 [size=\"55588864\", alpha=\"0.12\", expect_size=\"27794432\"] \n  25 -> 32 [size =\"27794432\"]\n  25 -> 33 [size =\"27794432\"]\n  25 -> 35 [size =\"27794432\"]\n  26 [size=\"34541568\", alpha=\"0.06\", expect_size=\"17270784\"] \n  26 -> 33 [size =\"17270784\"]\n  26 -> 36 [size =\"17270784\"]\n  26 -> 40 [size =\"17270784\"]\n  27 [size=\"27389952\", alpha=\"0.04\", expect_size=\"13694976\"] \n  27 -> 35 [size =\"13694976\"]\n  27 -> 36 [size =\"13694976\"]\n  27 -> 37 [size =\"13694976\"]\n  27 -> 38 [size =\"13694976\"]\n  27 -> 40 [size =\"13694976\"]\n  28 [size=\"55672832\", alpha=\"0.04\", expect_size=\"27836416\"] \n  28 -> 34 [size =\"27836416\"]\n  28 -> 35 [size =\"27836416\"]\n  28 -> 37 [size =\"27836416\"]\n  28 -> 40 [size =\"27836416\"]\n  29 [size=\"64106496\", alpha=\"0.20\", expect_size=\"32053248\"] \n  29 -> 34 [size =\"32053248\"]\n  29 -> 35 [size =\"32053248\"]\n  29 -> 40 [size =\"32053248\"]\n  30 [size=\"64516096\", alpha=\"0.05\", expect_size=\"32258048\"] \n  30 -> 34 [size =\"32258048\"]\n  30 -> 36 [size =\"32258048\"]\n  31 [size=\"59070464\", alpha=\"0.03\", expect_size=\"29535232\"] \n  32 [size=\"77291520\", alpha=\"0.13\", expect_size=\"38645760\"] \n  33 [size=\"68225024\", alpha=\"0.03\", expect_size=\"34112512\"] \n  34 [size=\"104058880\", alpha=\"0.15\", expect_size=\"52029440\"] \n  35 [size=\"15185920\", alpha=\"0.02\", expect_size=\"7592960\"] \n  36 [size=\"70408192\", alpha=\"0.01\", expect_size=\"35204096\"] \n  37 [size=\"99809280\", alpha=\"0.06\", expect_size=\"49904640\"] \n  38 [size=\"24481792\", alpha=\"0.17\", expect_size=\"12240896\"] \n  39 [size=\"41451520\", alpha=\"0.03\", expect_size=\"20725760\"] \n  40 [size=\"39876608\", alpha=\"0.10\", expect_size=\"19938304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112051200\", alpha=\"0.18\", expect_size=\"44820480\"] \n  1 -> 2 [size =\"44820480\"]\n  2 [size=\"112924160\", alpha=\"0.15\", expect_size=\"45169664\"] \n  2 -> 3 [size =\"45169664\"]\n  3 [size=\"65466880\", alpha=\"0.10\", expect_size=\"26186752\"] \n  3 -> 4 [size =\"26186752\"]\n  4 [size=\"128842240\", alpha=\"0.16\", expect_size=\"51536896\"] \n  4 -> 5 [size =\"51536896\"]\n  5 [size=\"68541440\", alpha=\"0.03\", expect_size=\"27416576\"] \n  5 -> 6 [size =\"27416576\"]\n  6 [size=\"98675200\", alpha=\"0.08\", expect_size=\"39470080\"] \n  6 -> 7 [size =\"39470080\"]\n  7 [size=\"76810240\", alpha=\"0.11\", expect_size=\"30724096\"] \n  7 -> 8 [size =\"30724096\"]\n  8 [size=\"98196480\", alpha=\"0.03\", expect_size=\"39278592\"] \n  8 -> 9 [size =\"39278592\"]\n  9 [size=\"51320320\", alpha=\"0.01\", expect_size=\"20528128\"] \n  9 -> 10 [size =\"20528128\"]\n  10 [size=\"111272960\", alpha=\"0.01\", expect_size=\"44509184\"] \n  10 -> 11 [size =\"44509184\"]\n  11 [size=\"39188480\", alpha=\"0.01\", expect_size=\"15675392\"] \n  11 -> 12 [size =\"15675392\"]\n  12 [size=\"29905920\", alpha=\"0.07\", expect_size=\"11962368\"] \n  12 -> 13 [size =\"11962368\"]\n  13 [size=\"119534080\", alpha=\"0.08\", expect_size=\"47813632\"] \n  13 -> 14 [size =\"47813632\"]\n  14 [size=\"60088320\", alpha=\"0.19\", expect_size=\"24035328\"] \n  14 -> 15 [size =\"24035328\"]\n  15 [size=\"38197760\", alpha=\"0.08\", expect_size=\"15279104\"] \n  15 -> 16 [size =\"15279104\"]\n  16 [size=\"56581120\", alpha=\"0.16\", expect_size=\"22632448\"] \n  16 -> 17 [size =\"22632448\"]\n  17 [size=\"105438720\", alpha=\"0.13\", expect_size=\"42175488\"] \n  17 -> 18 [size =\"42175488\"]\n  18 [size=\"49648640\", alpha=\"0.18\", expect_size=\"19859456\"] \n  18 -> 19 [size =\"19859456\"]\n  19 [size=\"65438720\", alpha=\"0.12\", expect_size=\"26175488\"] \n  19 -> 20 [size =\"26175488\"]\n  20 [size=\"69383680\", alpha=\"0.12\", expect_size=\"27753472\"] \n  20 -> 21 [size =\"27753472\"]\n  21 [size=\"72616960\", alpha=\"0.09\", expect_size=\"29046784\"] \n  21 -> 22 [size =\"29046784\"]\n  22 [size=\"79582720\", alpha=\"0.04\", expect_size=\"31833088\"] \n  22 -> 23 [size =\"31833088\"]\n  23 [size=\"122076160\", alpha=\"0.06\", expect_size=\"48830464\"] \n  23 -> 24 [size =\"48830464\"]\n  24 [size=\"51865600\", alpha=\"0.09\", expect_size=\"20746240\"] \n  24 -> 25 [size =\"20746240\"]\n  25 [size=\"48243200\", alpha=\"0.01\", expect_size=\"19297280\"] \n  25 -> 26 [size =\"19297280\"]\n  26 [size=\"97049600\", alpha=\"0.08\", expect_size=\"38819840\"] \n  26 -> 27 [size =\"38819840\"]\n  27 [size=\"74109440\", alpha=\"0.05\", expect_size=\"29643776\"] \n  27 -> 28 [size =\"29643776\"]\n  28 [size=\"32102400\", alpha=\"0.17\", expect_size=\"12840960\"] \n  28 -> 29 [size =\"12840960\"]\n  29 [size=\"18664960\", alpha=\"0.15\", expect_size=\"7465984\"] \n  29 -> 30 [size =\"7465984\"]\n  30 [size=\"88629760\", alpha=\"0.10\", expect_size=\"35451904\"] \n  30 -> 31 [size =\"35451904\"]\n  31 [size=\"42920960\", alpha=\"0.09\", expect_size=\"17168384\"] \n  31 -> 32 [size =\"17168384\"]\n  32 [size=\"98442240\", alpha=\"0.11\", expect_size=\"39376896\"] \n  32 -> 33 [size =\"39376896\"]\n  33 [size=\"119088640\", alpha=\"0.11\", expect_size=\"47635456\"] \n  33 -> 34 [size =\"47635456\"]\n  34 [size=\"39252480\", alpha=\"0.19\", expect_size=\"15700992\"] \n  34 -> 35 [size =\"15700992\"]\n  35 [size=\"92636160\", alpha=\"0.12\", expect_size=\"37054464\"] \n  35 -> 36 [size =\"37054464\"]\n  36 [size=\"98744320\", alpha=\"0.11\", expect_size=\"39497728\"] \n  36 -> 37 [size =\"39497728\"]\n  37 [size=\"25182720\", alpha=\"0.07\", expect_size=\"10073088\"] \n  37 -> 38 [size =\"10073088\"]\n  38 [size=\"53621760\", alpha=\"0.08\", expect_size=\"21448704\"] \n  38 -> 39 [size =\"21448704\"]\n  39 [size=\"33223680\", alpha=\"0.19\", expect_size=\"13289472\"] \n  39 -> 40 [size =\"13289472\"]\n  40 [size=\"120163840\", alpha=\"0.19\", expect_size=\"48065536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27987968\", alpha=\"0.04\", expect_size=\"13993984\"] \n  1 -> 7 [size =\"13993984\"]\n  1 -> 8 [size =\"13993984\"]\n  2 [size=\"15935488\", alpha=\"0.16\", expect_size=\"7967744\"] \n  2 -> 10 [size =\"7967744\"]\n  2 -> 11 [size =\"7967744\"]\n  2 -> 12 [size =\"7967744\"]\n  3 [size=\"92983296\", alpha=\"0.10\", expect_size=\"46491648\"] \n  3 -> 9 [size =\"46491648\"]\n  4 [size=\"20647936\", alpha=\"0.18\", expect_size=\"10323968\"] \n  5 [size=\"43010048\", alpha=\"0.02\", expect_size=\"21505024\"] \n  6 [size=\"84707328\", alpha=\"0.14\", expect_size=\"42353664\"] \n  6 -> 7 [size =\"42353664\"]\n  6 -> 9 [size =\"42353664\"]\n  6 -> 10 [size =\"42353664\"]\n  6 -> 11 [size =\"42353664\"]\n  6 -> 12 [size =\"42353664\"]\n  7 [size=\"96063488\", alpha=\"0.04\", expect_size=\"48031744\"] \n  7 -> 14 [size =\"48031744\"]\n  7 -> 16 [size =\"48031744\"]\n  7 -> 17 [size =\"48031744\"]\n  8 [size=\"70141952\", alpha=\"0.18\", expect_size=\"35070976\"] \n  9 [size=\"39356416\", alpha=\"0.09\", expect_size=\"19678208\"] \n  9 -> 13 [size =\"19678208\"]\n  9 -> 16 [size =\"19678208\"]\n  9 -> 18 [size =\"19678208\"]\n  10 [size=\"58306560\", alpha=\"0.16\", expect_size=\"29153280\"] \n  10 -> 13 [size =\"29153280\"]\n  10 -> 17 [size =\"29153280\"]\n  10 -> 18 [size =\"29153280\"]\n  11 [size=\"17655808\", alpha=\"0.06\", expect_size=\"8827904\"] \n  11 -> 16 [size =\"8827904\"]\n  11 -> 18 [size =\"8827904\"]\n  12 [size=\"36087808\", alpha=\"0.13\", expect_size=\"18043904\"] \n  12 -> 13 [size =\"18043904\"]\n  12 -> 15 [size =\"18043904\"]\n  12 -> 17 [size =\"18043904\"]\n  13 [size=\"18126848\", alpha=\"0.09\", expect_size=\"9063424\"] \n  13 -> 19 [size =\"9063424\"]\n  14 [size=\"66893824\", alpha=\"0.15\", expect_size=\"33446912\"] \n  14 -> 19 [size =\"33446912\"]\n  14 -> 23 [size =\"33446912\"]\n  15 [size=\"59693056\", alpha=\"0.04\", expect_size=\"29846528\"] \n  15 -> 23 [size =\"29846528\"]\n  16 [size=\"68913152\", alpha=\"0.06\", expect_size=\"34456576\"] \n  16 -> 20 [size =\"34456576\"]\n  16 -> 21 [size =\"34456576\"]\n  16 -> 22 [size =\"34456576\"]\n  17 [size=\"42067968\", alpha=\"0.20\", expect_size=\"21033984\"] \n  17 -> 20 [size =\"21033984\"]\n  17 -> 21 [size =\"21033984\"]\n  17 -> 22 [size =\"21033984\"]\n  18 [size=\"61620224\", alpha=\"0.14\", expect_size=\"30810112\"] \n  18 -> 21 [size =\"30810112\"]\n  19 [size=\"53665792\", alpha=\"0.06\", expect_size=\"26832896\"] \n  19 -> 25 [size =\"26832896\"]\n  19 -> 27 [size =\"26832896\"]\n  19 -> 29 [size =\"26832896\"]\n  20 [size=\"95508480\", alpha=\"0.10\", expect_size=\"47754240\"] \n  20 -> 24 [size =\"47754240\"]\n  21 [size=\"75876352\", alpha=\"0.19\", expect_size=\"37938176\"] \n  22 [size=\"102807552\", alpha=\"0.08\", expect_size=\"51403776\"] \n  22 -> 24 [size =\"51403776\"]\n  22 -> 27 [size =\"51403776\"]\n  22 -> 28 [size =\"51403776\"]\n  23 [size=\"69185536\", alpha=\"0.15\", expect_size=\"34592768\"] \n  23 -> 25 [size =\"34592768\"]\n  23 -> 26 [size =\"34592768\"]\n  24 [size=\"18989056\", alpha=\"0.04\", expect_size=\"9494528\"] \n  24 -> 34 [size =\"9494528\"]\n  25 [size=\"88469504\", alpha=\"0.00\", expect_size=\"44234752\"] \n  25 -> 31 [size =\"44234752\"]\n  26 [size=\"13283328\", alpha=\"0.12\", expect_size=\"6641664\"] \n  26 -> 30 [size =\"6641664\"]\n  27 [size=\"40810496\", alpha=\"0.02\", expect_size=\"20405248\"] \n  27 -> 30 [size =\"20405248\"]\n  27 -> 34 [size =\"20405248\"]\n  28 [size=\"38465536\", alpha=\"0.04\", expect_size=\"19232768\"] \n  28 -> 31 [size =\"19232768\"]\n  28 -> 33 [size =\"19232768\"]\n  29 [size=\"12255232\", alpha=\"0.13\", expect_size=\"6127616\"] \n  29 -> 30 [size =\"6127616\"]\n  29 -> 32 [size =\"6127616\"]\n  29 -> 34 [size =\"6127616\"]\n  30 [size=\"39659520\", alpha=\"0.12\", expect_size=\"19829760\"] \n  30 -> 36 [size =\"19829760\"]\n  30 -> 37 [size =\"19829760\"]\n  30 -> 38 [size =\"19829760\"]\n  30 -> 40 [size =\"19829760\"]\n  31 [size=\"88776704\", alpha=\"0.12\", expect_size=\"44388352\"] \n  31 -> 36 [size =\"44388352\"]\n  31 -> 37 [size =\"44388352\"]\n  32 [size=\"82739200\", alpha=\"0.18\", expect_size=\"41369600\"] \n  32 -> 35 [size =\"41369600\"]\n  32 -> 39 [size =\"41369600\"]\n  33 [size=\"26998784\", alpha=\"0.05\", expect_size=\"13499392\"] \n  33 -> 35 [size =\"13499392\"]\n  33 -> 38 [size =\"13499392\"]\n  33 -> 40 [size =\"13499392\"]\n  34 [size=\"98424832\", alpha=\"0.04\", expect_size=\"49212416\"] \n  34 -> 36 [size =\"49212416\"]\n  34 -> 37 [size =\"49212416\"]\n  34 -> 39 [size =\"49212416\"]\n  35 [size=\"24066048\", alpha=\"0.14\", expect_size=\"12033024\"] \n  36 [size=\"25190400\", alpha=\"0.16\", expect_size=\"12595200\"] \n  37 [size=\"81647616\", alpha=\"0.05\", expect_size=\"40823808\"] \n  38 [size=\"90273792\", alpha=\"0.05\", expect_size=\"45136896\"] \n  39 [size=\"16353280\", alpha=\"0.13\", expect_size=\"8176640\"] \n  40 [size=\"77500416\", alpha=\"0.00\", expect_size=\"38750208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123787947\", alpha=\"0.06\", expect_size=\"37136384\"] \n  1 -> 2 [size =\"37136384\"]\n  2 [size=\"140472320\", alpha=\"0.12\", expect_size=\"42141696\"] \n  2 -> 3 [size =\"42141696\"]\n  3 [size=\"50548053\", alpha=\"0.18\", expect_size=\"15164416\"] \n  3 -> 4 [size =\"15164416\"]\n  4 [size=\"97829547\", alpha=\"0.20\", expect_size=\"29348864\"] \n  4 -> 5 [size =\"29348864\"]\n  5 [size=\"128395947\", alpha=\"0.16\", expect_size=\"38518784\"] \n  5 -> 6 [size =\"38518784\"]\n  6 [size=\"74939733\", alpha=\"0.18\", expect_size=\"22481920\"] \n  6 -> 7 [size =\"22481920\"]\n  7 [size=\"166184960\", alpha=\"0.15\", expect_size=\"49855488\"] \n  7 -> 8 [size =\"49855488\"]\n  8 [size=\"28634453\", alpha=\"0.05\", expect_size=\"8590336\"] \n  8 -> 9 [size =\"8590336\"]\n  9 [size=\"68464640\", alpha=\"0.15\", expect_size=\"20539392\"] \n  9 -> 10 [size =\"20539392\"]\n  10 [size=\"152968533\", alpha=\"0.11\", expect_size=\"45890560\"] \n  10 -> 11 [size =\"45890560\"]\n  11 [size=\"95429973\", alpha=\"0.08\", expect_size=\"28628992\"] \n  11 -> 12 [size =\"28628992\"]\n  12 [size=\"143783253\", alpha=\"0.05\", expect_size=\"43134976\"] \n  12 -> 13 [size =\"43134976\"]\n  13 [size=\"81571840\", alpha=\"0.11\", expect_size=\"24471552\"] \n  13 -> 14 [size =\"24471552\"]\n  14 [size=\"64064853\", alpha=\"0.10\", expect_size=\"19219456\"] \n  14 -> 15 [size =\"19219456\"]\n  15 [size=\"61829120\", alpha=\"0.12\", expect_size=\"18548736\"] \n  15 -> 16 [size =\"18548736\"]\n  16 [size=\"30252373\", alpha=\"0.12\", expect_size=\"9075712\"] \n  16 -> 17 [size =\"9075712\"]\n  17 [size=\"168997547\", alpha=\"0.08\", expect_size=\"50699264\"] \n  17 -> 18 [size =\"50699264\"]\n  18 [size=\"127071573\", alpha=\"0.08\", expect_size=\"38121472\"] \n  18 -> 19 [size =\"38121472\"]\n  19 [size=\"162949120\", alpha=\"0.18\", expect_size=\"48884736\"] \n  19 -> 20 [size =\"48884736\"]\n  20 [size=\"123374933\", alpha=\"0.15\", expect_size=\"37012480\"] \n  20 -> 21 [size =\"37012480\"]\n  21 [size=\"50892800\", alpha=\"0.05\", expect_size=\"15267840\"] \n  21 -> 22 [size =\"15267840\"]\n  22 [size=\"113947307\", alpha=\"0.11\", expect_size=\"34184192\"] \n  22 -> 23 [size =\"34184192\"]\n  23 [size=\"150715733\", alpha=\"0.01\", expect_size=\"45214720\"] \n  23 -> 24 [size =\"45214720\"]\n  24 [size=\"76782933\", alpha=\"0.01\", expect_size=\"23034880\"] \n  24 -> 25 [size =\"23034880\"]\n  25 [size=\"153183573\", alpha=\"0.15\", expect_size=\"45955072\"] \n  25 -> 26 [size =\"45955072\"]\n  26 [size=\"93962240\", alpha=\"0.17\", expect_size=\"28188672\"] \n  26 -> 27 [size =\"28188672\"]\n  27 [size=\"33382400\", alpha=\"0.17\", expect_size=\"10014720\"] \n  27 -> 28 [size =\"10014720\"]\n  28 [size=\"97795413\", alpha=\"0.19\", expect_size=\"29338624\"] \n  28 -> 29 [size =\"29338624\"]\n  29 [size=\"159986347\", alpha=\"0.08\", expect_size=\"47995904\"] \n  29 -> 30 [size =\"47995904\"]\n  30 [size=\"145875627\", alpha=\"0.13\", expect_size=\"43762688\"] \n  30 -> 31 [size =\"43762688\"]\n  31 [size=\"105205760\", alpha=\"0.09\", expect_size=\"31561728\"] \n  31 -> 32 [size =\"31561728\"]\n  32 [size=\"144291840\", alpha=\"0.01\", expect_size=\"43287552\"] \n  32 -> 33 [size =\"43287552\"]\n  33 [size=\"71557120\", alpha=\"0.00\", expect_size=\"21467136\"] \n  33 -> 34 [size =\"21467136\"]\n  34 [size=\"77366613\", alpha=\"0.06\", expect_size=\"23209984\"] \n  34 -> 35 [size =\"23209984\"]\n  35 [size=\"84783787\", alpha=\"0.17\", expect_size=\"25435136\"] \n  35 -> 36 [size =\"25435136\"]\n  36 [size=\"47441920\", alpha=\"0.10\", expect_size=\"14232576\"] \n  36 -> 37 [size =\"14232576\"]\n  37 [size=\"22811307\", alpha=\"0.03\", expect_size=\"6843392\"] \n  37 -> 38 [size =\"6843392\"]\n  38 [size=\"159597227\", alpha=\"0.09\", expect_size=\"47879168\"] \n  38 -> 39 [size =\"47879168\"]\n  39 [size=\"154388480\", alpha=\"0.14\", expect_size=\"46316544\"] \n  39 -> 40 [size =\"46316544\"]\n  40 [size=\"58180267\", alpha=\"0.12\", expect_size=\"17454080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40634880\", alpha=\"0.08\", expect_size=\"16253952\"] \n  1 -> 21 [size =\"16253952\"]\n  1 -> 23 [size =\"16253952\"]\n  1 -> 24 [size =\"16253952\"]\n  1 -> 27 [size =\"16253952\"]\n  1 -> 28 [size =\"16253952\"]\n  1 -> 29 [size =\"16253952\"]\n  1 -> 31 [size =\"16253952\"]\n  1 -> 34 [size =\"16253952\"]\n  2 [size=\"39754240\", alpha=\"0.07\", expect_size=\"15901696\"] \n  2 -> 23 [size =\"15901696\"]\n  2 -> 24 [size =\"15901696\"]\n  2 -> 28 [size =\"15901696\"]\n  2 -> 29 [size =\"15901696\"]\n  2 -> 32 [size =\"15901696\"]\n  2 -> 34 [size =\"15901696\"]\n  2 -> 40 [size =\"15901696\"]\n  3 [size=\"37649920\", alpha=\"0.12\", expect_size=\"15059968\"] \n  3 -> 24 [size =\"15059968\"]\n  3 -> 28 [size =\"15059968\"]\n  3 -> 29 [size =\"15059968\"]\n  3 -> 32 [size =\"15059968\"]\n  3 -> 35 [size =\"15059968\"]\n  3 -> 37 [size =\"15059968\"]\n  3 -> 38 [size =\"15059968\"]\n  4 [size=\"130731520\", alpha=\"0.12\", expect_size=\"52292608\"] \n  4 -> 23 [size =\"52292608\"]\n  4 -> 26 [size =\"52292608\"]\n  4 -> 29 [size =\"52292608\"]\n  4 -> 32 [size =\"52292608\"]\n  4 -> 33 [size =\"52292608\"]\n  4 -> 37 [size =\"52292608\"]\n  4 -> 38 [size =\"52292608\"]\n  5 [size=\"105152000\", alpha=\"0.17\", expect_size=\"42060800\"] \n  5 -> 25 [size =\"42060800\"]\n  5 -> 32 [size =\"42060800\"]\n  5 -> 37 [size =\"42060800\"]\n  5 -> 39 [size =\"42060800\"]\n  5 -> 40 [size =\"42060800\"]\n  6 [size=\"49999360\", alpha=\"0.10\", expect_size=\"19999744\"] \n  6 -> 23 [size =\"19999744\"]\n  6 -> 25 [size =\"19999744\"]\n  6 -> 27 [size =\"19999744\"]\n  6 -> 29 [size =\"19999744\"]\n  6 -> 31 [size =\"19999744\"]\n  6 -> 32 [size =\"19999744\"]\n  6 -> 36 [size =\"19999744\"]\n  6 -> 37 [size =\"19999744\"]\n  7 [size=\"41635840\", alpha=\"0.12\", expect_size=\"16654336\"] \n  7 -> 21 [size =\"16654336\"]\n  7 -> 23 [size =\"16654336\"]\n  7 -> 26 [size =\"16654336\"]\n  7 -> 27 [size =\"16654336\"]\n  7 -> 28 [size =\"16654336\"]\n  7 -> 31 [size =\"16654336\"]\n  7 -> 35 [size =\"16654336\"]\n  7 -> 36 [size =\"16654336\"]\n  7 -> 37 [size =\"16654336\"]\n  8 [size=\"78671360\", alpha=\"0.16\", expect_size=\"31468544\"] \n  8 -> 22 [size =\"31468544\"]\n  8 -> 26 [size =\"31468544\"]\n  8 -> 28 [size =\"31468544\"]\n  8 -> 29 [size =\"31468544\"]\n  8 -> 32 [size =\"31468544\"]\n  8 -> 34 [size =\"31468544\"]\n  8 -> 37 [size =\"31468544\"]\n  9 [size=\"72414720\", alpha=\"0.20\", expect_size=\"28965888\"] \n  9 -> 23 [size =\"28965888\"]\n  9 -> 25 [size =\"28965888\"]\n  9 -> 26 [size =\"28965888\"]\n  9 -> 27 [size =\"28965888\"]\n  9 -> 28 [size =\"28965888\"]\n  9 -> 29 [size =\"28965888\"]\n  9 -> 39 [size =\"28965888\"]\n  10 [size=\"128686080\", alpha=\"0.02\", expect_size=\"51474432\"] \n  10 -> 23 [size =\"51474432\"]\n  10 -> 26 [size =\"51474432\"]\n  10 -> 29 [size =\"51474432\"]\n  10 -> 35 [size =\"51474432\"]\n  10 -> 37 [size =\"51474432\"]\n  10 -> 39 [size =\"51474432\"]\n  11 [size=\"125166080\", alpha=\"0.12\", expect_size=\"50066432\"] \n  11 -> 23 [size =\"50066432\"]\n  11 -> 24 [size =\"50066432\"]\n  11 -> 30 [size =\"50066432\"]\n  11 -> 34 [size =\"50066432\"]\n  11 -> 37 [size =\"50066432\"]\n  12 [size=\"53760000\", alpha=\"0.02\", expect_size=\"21504000\"] \n  12 -> 23 [size =\"21504000\"]\n  12 -> 24 [size =\"21504000\"]\n  12 -> 27 [size =\"21504000\"]\n  12 -> 29 [size =\"21504000\"]\n  12 -> 34 [size =\"21504000\"]\n  12 -> 36 [size =\"21504000\"]\n  13 [size=\"96463360\", alpha=\"0.03\", expect_size=\"38585344\"] \n  13 -> 28 [size =\"38585344\"]\n  13 -> 30 [size =\"38585344\"]\n  13 -> 35 [size =\"38585344\"]\n  13 -> 36 [size =\"38585344\"]\n  13 -> 37 [size =\"38585344\"]\n  13 -> 40 [size =\"38585344\"]\n  14 [size=\"48325120\", alpha=\"0.01\", expect_size=\"19330048\"] \n  14 -> 21 [size =\"19330048\"]\n  14 -> 29 [size =\"19330048\"]\n  14 -> 30 [size =\"19330048\"]\n  15 [size=\"116446720\", alpha=\"0.08\", expect_size=\"46578688\"] \n  15 -> 21 [size =\"46578688\"]\n  15 -> 23 [size =\"46578688\"]\n  15 -> 28 [size =\"46578688\"]\n  15 -> 36 [size =\"46578688\"]\n  16 [size=\"96424960\", alpha=\"0.12\", expect_size=\"38569984\"] \n  16 -> 23 [size =\"38569984\"]\n  16 -> 32 [size =\"38569984\"]\n  16 -> 37 [size =\"38569984\"]\n  17 [size=\"36047360\", alpha=\"0.18\", expect_size=\"14418944\"] \n  17 -> 27 [size =\"14418944\"]\n  17 -> 29 [size =\"14418944\"]\n  17 -> 30 [size =\"14418944\"]\n  17 -> 32 [size =\"14418944\"]\n  17 -> 36 [size =\"14418944\"]\n  18 [size=\"106112000\", alpha=\"0.10\", expect_size=\"42444800\"] \n  18 -> 24 [size =\"42444800\"]\n  18 -> 27 [size =\"42444800\"]\n  18 -> 28 [size =\"42444800\"]\n  18 -> 30 [size =\"42444800\"]\n  18 -> 32 [size =\"42444800\"]\n  18 -> 34 [size =\"42444800\"]\n  18 -> 37 [size =\"42444800\"]\n  19 [size=\"84910080\", alpha=\"0.00\", expect_size=\"33964032\"] \n  19 -> 27 [size =\"33964032\"]\n  19 -> 27 [size =\"33964032\"]\n  19 -> 28 [size =\"33964032\"]\n  19 -> 30 [size =\"33964032\"]\n  19 -> 32 [size =\"33964032\"]\n  19 -> 33 [size =\"33964032\"]\n  19 -> 39 [size =\"33964032\"]\n  19 -> 40 [size =\"33964032\"]\n  20 [size=\"84728320\", alpha=\"0.07\", expect_size=\"33891328\"] \n  20 -> 23 [size =\"33891328\"]\n  20 -> 28 [size =\"33891328\"]\n  20 -> 28 [size =\"33891328\"]\n  20 -> 31 [size =\"33891328\"]\n  20 -> 32 [size =\"33891328\"]\n  20 -> 33 [size =\"33891328\"]\n  20 -> 37 [size =\"33891328\"]\n  21 [size=\"97167360\", alpha=\"0.19\", expect_size=\"38866944\"] \n  22 [size=\"48353280\", alpha=\"0.16\", expect_size=\"19341312\"] \n  23 [size=\"59988480\", alpha=\"0.16\", expect_size=\"23995392\"] \n  24 [size=\"75471360\", alpha=\"0.17\", expect_size=\"30188544\"] \n  25 [size=\"80665600\", alpha=\"0.13\", expect_size=\"32266240\"] \n  26 [size=\"127400960\", alpha=\"0.16\", expect_size=\"50960384\"] \n  27 [size=\"78848000\", alpha=\"0.03\", expect_size=\"31539200\"] \n  28 [size=\"66698240\", alpha=\"0.01\", expect_size=\"26679296\"] \n  29 [size=\"128350720\", alpha=\"0.10\", expect_size=\"51340288\"] \n  30 [size=\"128424960\", alpha=\"0.18\", expect_size=\"51369984\"] \n  31 [size=\"53568000\", alpha=\"0.05\", expect_size=\"21427200\"] \n  32 [size=\"49277440\", alpha=\"0.19\", expect_size=\"19710976\"] \n  33 [size=\"24235520\", alpha=\"0.07\", expect_size=\"9694208\"] \n  34 [size=\"120952320\", alpha=\"0.01\", expect_size=\"48380928\"] \n  35 [size=\"103157760\", alpha=\"0.12\", expect_size=\"41263104\"] \n  36 [size=\"62899200\", alpha=\"0.18\", expect_size=\"25159680\"] \n  37 [size=\"37071360\", alpha=\"0.08\", expect_size=\"14828544\"] \n  38 [size=\"54200320\", alpha=\"0.13\", expect_size=\"21680128\"] \n  39 [size=\"61893120\", alpha=\"0.11\", expect_size=\"24757248\"] \n  40 [size=\"119454720\", alpha=\"0.00\", expect_size=\"47781888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137308160\", alpha=\"0.05\", expect_size=\"41192448\"] \n  1 -> 12 [size =\"41192448\"]\n  1 -> 20 [size =\"41192448\"]\n  1 -> 23 [size =\"41192448\"]\n  1 -> 24 [size =\"41192448\"]\n  2 [size=\"88340480\", alpha=\"0.04\", expect_size=\"26502144\"] \n  2 -> 12 [size =\"26502144\"]\n  2 -> 13 [size =\"26502144\"]\n  2 -> 20 [size =\"26502144\"]\n  2 -> 21 [size =\"26502144\"]\n  2 -> 22 [size =\"26502144\"]\n  2 -> 23 [size =\"26502144\"]\n  2 -> 24 [size =\"26502144\"]\n  3 [size=\"34539520\", alpha=\"0.04\", expect_size=\"10361856\"] \n  3 -> 12 [size =\"10361856\"]\n  3 -> 13 [size =\"10361856\"]\n  4 [size=\"124047360\", alpha=\"0.15\", expect_size=\"37214208\"] \n  4 -> 12 [size =\"37214208\"]\n  4 -> 13 [size =\"37214208\"]\n  4 -> 15 [size =\"37214208\"]\n  4 -> 21 [size =\"37214208\"]\n  4 -> 22 [size =\"37214208\"]\n  4 -> 23 [size =\"37214208\"]\n  4 -> 24 [size =\"37214208\"]\n  5 [size=\"47148373\", alpha=\"0.11\", expect_size=\"14144512\"] \n  5 -> 12 [size =\"14144512\"]\n  5 -> 13 [size =\"14144512\"]\n  5 -> 14 [size =\"14144512\"]\n  5 -> 20 [size =\"14144512\"]\n  5 -> 21 [size =\"14144512\"]\n  5 -> 23 [size =\"14144512\"]\n  6 [size=\"65498453\", alpha=\"0.18\", expect_size=\"19649536\"] \n  6 -> 15 [size =\"19649536\"]\n  6 -> 18 [size =\"19649536\"]\n  6 -> 21 [size =\"19649536\"]\n  6 -> 23 [size =\"19649536\"]\n  7 [size=\"94692693\", alpha=\"0.12\", expect_size=\"28407808\"] \n  7 -> 12 [size =\"28407808\"]\n  7 -> 14 [size =\"28407808\"]\n  7 -> 21 [size =\"28407808\"]\n  7 -> 23 [size =\"28407808\"]\n  7 -> 25 [size =\"28407808\"]\n  7 -> 26 [size =\"28407808\"]\n  8 [size=\"59583147\", alpha=\"0.17\", expect_size=\"17874944\"] \n  8 -> 12 [size =\"17874944\"]\n  8 -> 18 [size =\"17874944\"]\n  8 -> 20 [size =\"17874944\"]\n  8 -> 21 [size =\"17874944\"]\n  8 -> 22 [size =\"17874944\"]\n  8 -> 23 [size =\"17874944\"]\n  8 -> 26 [size =\"17874944\"]\n  9 [size=\"44103680\", alpha=\"0.02\", expect_size=\"13231104\"] \n  9 -> 13 [size =\"13231104\"]\n  9 -> 15 [size =\"13231104\"]\n  9 -> 18 [size =\"13231104\"]\n  10 [size=\"94453760\", alpha=\"0.09\", expect_size=\"28336128\"] \n  10 -> 13 [size =\"28336128\"]\n  10 -> 16 [size =\"28336128\"]\n  10 -> 17 [size =\"28336128\"]\n  10 -> 21 [size =\"28336128\"]\n  10 -> 22 [size =\"28336128\"]\n  11 [size=\"34164053\", alpha=\"0.12\", expect_size=\"10249216\"] \n  11 -> 13 [size =\"10249216\"]\n  11 -> 19 [size =\"10249216\"]\n  11 -> 26 [size =\"10249216\"]\n  12 [size=\"70277120\", alpha=\"0.08\", expect_size=\"21083136\"] \n  12 -> 31 [size =\"21083136\"]\n  12 -> 34 [size =\"21083136\"]\n  13 [size=\"101174613\", alpha=\"0.15\", expect_size=\"30352384\"] \n  13 -> 29 [size =\"30352384\"]\n  13 -> 32 [size =\"30352384\"]\n  13 -> 33 [size =\"30352384\"]\n  14 [size=\"134082560\", alpha=\"0.00\", expect_size=\"40224768\"] \n  14 -> 27 [size =\"40224768\"]\n  14 -> 29 [size =\"40224768\"]\n  14 -> 31 [size =\"40224768\"]\n  14 -> 32 [size =\"40224768\"]\n  15 [size=\"97058133\", alpha=\"0.07\", expect_size=\"29117440\"] \n  15 -> 31 [size =\"29117440\"]\n  15 -> 36 [size =\"29117440\"]\n  16 [size=\"29634560\", alpha=\"0.15\", expect_size=\"8890368\"] \n  16 -> 30 [size =\"8890368\"]\n  17 [size=\"172653227\", alpha=\"0.01\", expect_size=\"51795968\"] \n  17 -> 27 [size =\"51795968\"]\n  17 -> 29 [size =\"51795968\"]\n  17 -> 30 [size =\"51795968\"]\n  18 [size=\"106089813\", alpha=\"0.19\", expect_size=\"31826944\"] \n  18 -> 28 [size =\"31826944\"]\n  18 -> 30 [size =\"31826944\"]\n  18 -> 34 [size =\"31826944\"]\n  18 -> 37 [size =\"31826944\"]\n  19 [size=\"84183040\", alpha=\"0.11\", expect_size=\"25254912\"] \n  19 -> 37 [size =\"25254912\"]\n  20 [size=\"98123093\", alpha=\"0.20\", expect_size=\"29436928\"] \n  20 -> 29 [size =\"29436928\"]\n  20 -> 30 [size =\"29436928\"]\n  20 -> 31 [size =\"29436928\"]\n  20 -> 32 [size =\"29436928\"]\n  20 -> 33 [size =\"29436928\"]\n  20 -> 35 [size =\"29436928\"]\n  20 -> 36 [size =\"29436928\"]\n  20 -> 37 [size =\"29436928\"]\n  21 [size=\"165369173\", alpha=\"0.03\", expect_size=\"49610752\"] \n  21 -> 30 [size =\"49610752\"]\n  21 -> 32 [size =\"49610752\"]\n  21 -> 36 [size =\"49610752\"]\n  21 -> 37 [size =\"49610752\"]\n  22 [size=\"101768533\", alpha=\"0.15\", expect_size=\"30530560\"] \n  22 -> 32 [size =\"30530560\"]\n  22 -> 37 [size =\"30530560\"]\n  23 [size=\"167133867\", alpha=\"0.10\", expect_size=\"50140160\"] \n  23 -> 31 [size =\"50140160\"]\n  23 -> 32 [size =\"50140160\"]\n  24 [size=\"125904213\", alpha=\"0.18\", expect_size=\"37771264\"] \n  24 -> 30 [size =\"37771264\"]\n  24 -> 31 [size =\"37771264\"]\n  24 -> 32 [size =\"37771264\"]\n  24 -> 34 [size =\"37771264\"]\n  24 -> 35 [size =\"37771264\"]\n  25 [size=\"126402560\", alpha=\"0.10\", expect_size=\"37920768\"] \n  25 -> 32 [size =\"37920768\"]\n  25 -> 34 [size =\"37920768\"]\n  25 -> 35 [size =\"37920768\"]\n  25 -> 37 [size =\"37920768\"]\n  26 [size=\"23647573\", alpha=\"0.08\", expect_size=\"7094272\"] \n  26 -> 32 [size =\"7094272\"]\n  26 -> 37 [size =\"7094272\"]\n  27 [size=\"139400533\", alpha=\"0.16\", expect_size=\"41820160\"] \n  28 [size=\"145223680\", alpha=\"0.09\", expect_size=\"43567104\"] \n  28 -> 38 [size =\"43567104\"]\n  28 -> 39 [size =\"43567104\"]\n  29 [size=\"139332267\", alpha=\"0.05\", expect_size=\"41799680\"] \n  29 -> 39 [size =\"41799680\"]\n  30 [size=\"72205653\", alpha=\"0.12\", expect_size=\"21661696\"] \n  30 -> 39 [size =\"21661696\"]\n  31 [size=\"69031253\", alpha=\"0.00\", expect_size=\"20709376\"] \n  31 -> 38 [size =\"20709376\"]\n  31 -> 39 [size =\"20709376\"]\n  32 [size=\"92357973\", alpha=\"0.15\", expect_size=\"27707392\"] \n  32 -> 38 [size =\"27707392\"]\n  32 -> 39 [size =\"27707392\"]\n  33 [size=\"55760213\", alpha=\"0.01\", expect_size=\"16728064\"] \n  33 -> 38 [size =\"16728064\"]\n  33 -> 39 [size =\"16728064\"]\n  34 [size=\"133597867\", alpha=\"0.02\", expect_size=\"40079360\"] \n  34 -> 38 [size =\"40079360\"]\n  34 -> 39 [size =\"40079360\"]\n  35 [size=\"117865813\", alpha=\"0.13\", expect_size=\"35359744\"] \n  35 -> 38 [size =\"35359744\"]\n  36 [size=\"38236160\", alpha=\"0.05\", expect_size=\"11470848\"] \n  36 -> 38 [size =\"11470848\"]\n  36 -> 40 [size =\"11470848\"]\n  37 [size=\"100024320\", alpha=\"0.17\", expect_size=\"30007296\"] \n  38 [size=\"65873920\", alpha=\"0.00\", expect_size=\"19762176\"] \n  39 [size=\"135181653\", alpha=\"0.12\", expect_size=\"40554496\"] \n  40 [size=\"19998720\", alpha=\"0.14\", expect_size=\"5999616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51462144\", alpha=\"0.03\", expect_size=\"25731072\"] \n  1 -> 9 [size =\"25731072\"]\n  2 [size=\"71804928\", alpha=\"0.16\", expect_size=\"35902464\"] \n  2 -> 7 [size =\"35902464\"]\n  2 -> 9 [size =\"35902464\"]\n  2 -> 10 [size =\"35902464\"]\n  3 [size=\"81522688\", alpha=\"0.11\", expect_size=\"40761344\"] \n  3 -> 6 [size =\"40761344\"]\n  3 -> 8 [size =\"40761344\"]\n  3 -> 10 [size =\"40761344\"]\n  4 [size=\"93243392\", alpha=\"0.03\", expect_size=\"46621696\"] \n  4 -> 7 [size =\"46621696\"]\n  4 -> 8 [size =\"46621696\"]\n  4 -> 10 [size =\"46621696\"]\n  4 -> 11 [size =\"46621696\"]\n  5 [size=\"14225408\", alpha=\"0.08\", expect_size=\"7112704\"] \n  5 -> 7 [size =\"7112704\"]\n  6 [size=\"62386176\", alpha=\"0.05\", expect_size=\"31193088\"] \n  6 -> 12 [size =\"31193088\"]\n  6 -> 13 [size =\"31193088\"]\n  6 -> 15 [size =\"31193088\"]\n  6 -> 17 [size =\"31193088\"]\n  7 [size=\"90978304\", alpha=\"0.17\", expect_size=\"45489152\"] \n  8 [size=\"33869824\", alpha=\"0.18\", expect_size=\"16934912\"] \n  8 -> 16 [size =\"16934912\"]\n  9 [size=\"92766208\", alpha=\"0.03\", expect_size=\"46383104\"] \n  9 -> 12 [size =\"46383104\"]\n  9 -> 14 [size =\"46383104\"]\n  9 -> 15 [size =\"46383104\"]\n  10 [size=\"58085376\", alpha=\"0.13\", expect_size=\"29042688\"] \n  10 -> 16 [size =\"29042688\"]\n  10 -> 17 [size =\"29042688\"]\n  11 [size=\"62226432\", alpha=\"0.00\", expect_size=\"31113216\"] \n  11 -> 12 [size =\"31113216\"]\n  11 -> 16 [size =\"31113216\"]\n  12 [size=\"74649600\", alpha=\"0.00\", expect_size=\"37324800\"] \n  12 -> 19 [size =\"37324800\"]\n  12 -> 21 [size =\"37324800\"]\n  12 -> 22 [size =\"37324800\"]\n  13 [size=\"54499328\", alpha=\"0.14\", expect_size=\"27249664\"] \n  13 -> 19 [size =\"27249664\"]\n  13 -> 22 [size =\"27249664\"]\n  14 [size=\"12853248\", alpha=\"0.04\", expect_size=\"6426624\"] \n  14 -> 20 [size =\"6426624\"]\n  15 [size=\"25841664\", alpha=\"0.14\", expect_size=\"12920832\"] \n  15 -> 18 [size =\"12920832\"]\n  15 -> 20 [size =\"12920832\"]\n  15 -> 22 [size =\"12920832\"]\n  16 [size=\"64290816\", alpha=\"0.05\", expect_size=\"32145408\"] \n  16 -> 18 [size =\"32145408\"]\n  16 -> 20 [size =\"32145408\"]\n  16 -> 22 [size =\"32145408\"]\n  17 [size=\"86929408\", alpha=\"0.01\", expect_size=\"43464704\"] \n  17 -> 19 [size =\"43464704\"]\n  17 -> 21 [size =\"43464704\"]\n  18 [size=\"74770432\", alpha=\"0.07\", expect_size=\"37385216\"] \n  18 -> 23 [size =\"37385216\"]\n  18 -> 26 [size =\"37385216\"]\n  19 [size=\"66457600\", alpha=\"0.13\", expect_size=\"33228800\"] \n  19 -> 26 [size =\"33228800\"]\n  20 [size=\"82825216\", alpha=\"0.11\", expect_size=\"41412608\"] \n  20 -> 26 [size =\"41412608\"]\n  20 -> 27 [size =\"41412608\"]\n  21 [size=\"47960064\", alpha=\"0.18\", expect_size=\"23980032\"] \n  21 -> 23 [size =\"23980032\"]\n  21 -> 24 [size =\"23980032\"]\n  21 -> 25 [size =\"23980032\"]\n  21 -> 28 [size =\"23980032\"]\n  22 [size=\"48226304\", alpha=\"0.17\", expect_size=\"24113152\"] \n  22 -> 23 [size =\"24113152\"]\n  22 -> 24 [size =\"24113152\"]\n  23 [size=\"50329600\", alpha=\"0.12\", expect_size=\"25164800\"] \n  23 -> 29 [size =\"25164800\"]\n  23 -> 30 [size =\"25164800\"]\n  23 -> 31 [size =\"25164800\"]\n  23 -> 32 [size =\"25164800\"]\n  23 -> 34 [size =\"25164800\"]\n  24 [size=\"23443456\", alpha=\"0.04\", expect_size=\"11721728\"] \n  24 -> 30 [size =\"11721728\"]\n  24 -> 34 [size =\"11721728\"]\n  25 [size=\"40747008\", alpha=\"0.17\", expect_size=\"20373504\"] \n  25 -> 30 [size =\"20373504\"]\n  25 -> 33 [size =\"20373504\"]\n  26 [size=\"13690880\", alpha=\"0.01\", expect_size=\"6845440\"] \n  26 -> 29 [size =\"6845440\"]\n  26 -> 30 [size =\"6845440\"]\n  26 -> 31 [size =\"6845440\"]\n  27 [size=\"38551552\", alpha=\"0.03\", expect_size=\"19275776\"] \n  27 -> 29 [size =\"19275776\"]\n  27 -> 32 [size =\"19275776\"]\n  27 -> 33 [size =\"19275776\"]\n  28 [size=\"41515008\", alpha=\"0.09\", expect_size=\"20757504\"] \n  28 -> 29 [size =\"20757504\"]\n  28 -> 32 [size =\"20757504\"]\n  29 [size=\"76500992\", alpha=\"0.12\", expect_size=\"38250496\"] \n  29 -> 37 [size =\"38250496\"]\n  30 [size=\"44113920\", alpha=\"0.06\", expect_size=\"22056960\"] \n  30 -> 35 [size =\"22056960\"]\n  31 [size=\"96540672\", alpha=\"0.10\", expect_size=\"48270336\"] \n  31 -> 37 [size =\"48270336\"]\n  31 -> 39 [size =\"48270336\"]\n  32 [size=\"86018048\", alpha=\"0.08\", expect_size=\"43009024\"] \n  32 -> 36 [size =\"43009024\"]\n  32 -> 38 [size =\"43009024\"]\n  33 [size=\"73865216\", alpha=\"0.16\", expect_size=\"36932608\"] \n  33 -> 37 [size =\"36932608\"]\n  33 -> 39 [size =\"36932608\"]\n  34 [size=\"36747264\", alpha=\"0.04\", expect_size=\"18373632\"] \n  34 -> 37 [size =\"18373632\"]\n  34 -> 39 [size =\"18373632\"]\n  35 [size=\"57421824\", alpha=\"0.15\", expect_size=\"28710912\"] \n  35 -> 40 [size =\"28710912\"]\n  36 [size=\"45260800\", alpha=\"0.18\", expect_size=\"22630400\"] \n  37 [size=\"52164608\", alpha=\"0.17\", expect_size=\"26082304\"] \n  38 [size=\"64253952\", alpha=\"0.09\", expect_size=\"32126976\"] \n  39 [size=\"10543104\", alpha=\"0.13\", expect_size=\"5271552\"] \n  39 -> 40 [size =\"5271552\"]\n  40 [size=\"67686400\", alpha=\"0.13\", expect_size=\"33843200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70324224\", alpha=\"0.11\", expect_size=\"35162112\"] \n  1 -> 8 [size =\"35162112\"]\n  1 -> 9 [size =\"35162112\"]\n  1 -> 11 [size =\"35162112\"]\n  1 -> 12 [size =\"35162112\"]\n  2 [size=\"71915520\", alpha=\"0.16\", expect_size=\"35957760\"] \n  2 -> 9 [size =\"35957760\"]\n  2 -> 11 [size =\"35957760\"]\n  2 -> 11 [size =\"35957760\"]\n  2 -> 12 [size =\"35957760\"]\n  2 -> 15 [size =\"35957760\"]\n  3 [size=\"94535680\", alpha=\"0.12\", expect_size=\"47267840\"] \n  3 -> 14 [size =\"47267840\"]\n  4 [size=\"50384896\", alpha=\"0.07\", expect_size=\"25192448\"] \n  4 -> 8 [size =\"25192448\"]\n  5 [size=\"54124544\", alpha=\"0.03\", expect_size=\"27062272\"] \n  5 -> 12 [size =\"27062272\"]\n  6 [size=\"87336960\", alpha=\"0.10\", expect_size=\"43668480\"] \n  6 -> 13 [size =\"43668480\"]\n  6 -> 14 [size =\"43668480\"]\n  7 [size=\"29345792\", alpha=\"0.13\", expect_size=\"14672896\"] \n  7 -> 10 [size =\"14672896\"]\n  7 -> 12 [size =\"14672896\"]\n  8 [size=\"15908864\", alpha=\"0.11\", expect_size=\"7954432\"] \n  8 -> 18 [size =\"7954432\"]\n  9 [size=\"87355392\", alpha=\"0.12\", expect_size=\"43677696\"] \n  9 -> 17 [size =\"43677696\"]\n  10 [size=\"30822400\", alpha=\"0.03\", expect_size=\"15411200\"] \n  11 [size=\"94795776\", alpha=\"0.04\", expect_size=\"47397888\"] \n  11 -> 17 [size =\"47397888\"]\n  12 [size=\"51351552\", alpha=\"0.03\", expect_size=\"25675776\"] \n  12 -> 16 [size =\"25675776\"]\n  12 -> 17 [size =\"25675776\"]\n  12 -> 18 [size =\"25675776\"]\n  13 [size=\"34299904\", alpha=\"0.18\", expect_size=\"17149952\"] \n  13 -> 17 [size =\"17149952\"]\n  14 [size=\"91699200\", alpha=\"0.16\", expect_size=\"45849600\"] \n  15 [size=\"30316544\", alpha=\"0.19\", expect_size=\"15158272\"] \n  16 [size=\"42745856\", alpha=\"0.15\", expect_size=\"21372928\"] \n  16 -> 20 [size =\"21372928\"]\n  16 -> 22 [size =\"21372928\"]\n  17 [size=\"89991168\", alpha=\"0.00\", expect_size=\"44995584\"] \n  17 -> 20 [size =\"44995584\"]\n  17 -> 21 [size =\"44995584\"]\n  17 -> 22 [size =\"44995584\"]\n  18 [size=\"56762368\", alpha=\"0.18\", expect_size=\"28381184\"] \n  18 -> 19 [size =\"28381184\"]\n  18 -> 21 [size =\"28381184\"]\n  18 -> 23 [size =\"28381184\"]\n  19 [size=\"14995456\", alpha=\"0.14\", expect_size=\"7497728\"] \n  19 -> 25 [size =\"7497728\"]\n  19 -> 27 [size =\"7497728\"]\n  20 [size=\"72185856\", alpha=\"0.00\", expect_size=\"36092928\"] \n  20 -> 26 [size =\"36092928\"]\n  20 -> 29 [size =\"36092928\"]\n  21 [size=\"86937600\", alpha=\"0.19\", expect_size=\"43468800\"] \n  21 -> 26 [size =\"43468800\"]\n  21 -> 27 [size =\"43468800\"]\n  21 -> 29 [size =\"43468800\"]\n  22 [size=\"11151360\", alpha=\"0.12\", expect_size=\"5575680\"] \n  22 -> 24 [size =\"5575680\"]\n  22 -> 25 [size =\"5575680\"]\n  22 -> 27 [size =\"5575680\"]\n  23 [size=\"26753024\", alpha=\"0.01\", expect_size=\"13376512\"] \n  23 -> 28 [size =\"13376512\"]\n  24 [size=\"16887808\", alpha=\"0.20\", expect_size=\"8443904\"] \n  25 [size=\"91869184\", alpha=\"0.07\", expect_size=\"45934592\"] \n  25 -> 30 [size =\"45934592\"]\n  26 [size=\"89217024\", alpha=\"0.11\", expect_size=\"44608512\"] \n  26 -> 31 [size =\"44608512\"]\n  26 -> 34 [size =\"44608512\"]\n  27 [size=\"66244608\", alpha=\"0.19\", expect_size=\"33122304\"] \n  27 -> 31 [size =\"33122304\"]\n  27 -> 35 [size =\"33122304\"]\n  28 [size=\"68233216\", alpha=\"0.08\", expect_size=\"34116608\"] \n  28 -> 33 [size =\"34116608\"]\n  29 [size=\"57681920\", alpha=\"0.13\", expect_size=\"28840960\"] \n  29 -> 32 [size =\"28840960\"]\n  29 -> 33 [size =\"28840960\"]\n  30 [size=\"29876224\", alpha=\"0.03\", expect_size=\"14938112\"] \n  30 -> 36 [size =\"14938112\"]\n  30 -> 39 [size =\"14938112\"]\n  31 [size=\"32049152\", alpha=\"0.10\", expect_size=\"16024576\"] \n  31 -> 36 [size =\"16024576\"]\n  31 -> 37 [size =\"16024576\"]\n  32 [size=\"29667328\", alpha=\"0.07\", expect_size=\"14833664\"] \n  32 -> 37 [size =\"14833664\"]\n  32 -> 40 [size =\"14833664\"]\n  33 [size=\"84162560\", alpha=\"0.08\", expect_size=\"42081280\"] \n  33 -> 39 [size =\"42081280\"]\n  33 -> 40 [size =\"42081280\"]\n  34 [size=\"90841088\", alpha=\"0.06\", expect_size=\"45420544\"] \n  34 -> 37 [size =\"45420544\"]\n  34 -> 38 [size =\"45420544\"]\n  35 [size=\"89604096\", alpha=\"0.09\", expect_size=\"44802048\"] \n  35 -> 40 [size =\"44802048\"]\n  36 [size=\"29720576\", alpha=\"0.18\", expect_size=\"14860288\"] \n  37 [size=\"82411520\", alpha=\"0.04\", expect_size=\"41205760\"] \n  38 [size=\"77795328\", alpha=\"0.01\", expect_size=\"38897664\"] \n  39 [size=\"21297152\", alpha=\"0.18\", expect_size=\"10648576\"] \n  40 [size=\"84158464\", alpha=\"0.08\", expect_size=\"42079232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120299520\", alpha=\"0.03\", expect_size=\"36089856\"] \n  1 -> 6 [size =\"36089856\"]\n  1 -> 7 [size =\"36089856\"]\n  1 -> 8 [size =\"36089856\"]\n  1 -> 10 [size =\"36089856\"]\n  2 [size=\"142458880\", alpha=\"0.10\", expect_size=\"42737664\"] \n  2 -> 7 [size =\"42737664\"]\n  3 [size=\"51469653\", alpha=\"0.16\", expect_size=\"15440896\"] \n  3 -> 6 [size =\"15440896\"]\n  3 -> 7 [size =\"15440896\"]\n  4 [size=\"163863893\", alpha=\"0.06\", expect_size=\"49159168\"] \n  4 -> 7 [size =\"49159168\"]\n  4 -> 9 [size =\"49159168\"]\n  5 [size=\"147322880\", alpha=\"0.14\", expect_size=\"44196864\"] \n  5 -> 7 [size =\"44196864\"]\n  5 -> 8 [size =\"44196864\"]\n  5 -> 9 [size =\"44196864\"]\n  6 [size=\"100956160\", alpha=\"0.03\", expect_size=\"30286848\"] \n  6 -> 11 [size =\"30286848\"]\n  6 -> 12 [size =\"30286848\"]\n  6 -> 13 [size =\"30286848\"]\n  6 -> 14 [size =\"30286848\"]\n  6 -> 16 [size =\"30286848\"]\n  7 [size=\"47080107\", alpha=\"0.05\", expect_size=\"14124032\"] \n  7 -> 11 [size =\"14124032\"]\n  7 -> 12 [size =\"14124032\"]\n  7 -> 13 [size =\"14124032\"]\n  7 -> 14 [size =\"14124032\"]\n  7 -> 16 [size =\"14124032\"]\n  8 [size=\"174670507\", alpha=\"0.14\", expect_size=\"52401152\"] \n  8 -> 11 [size =\"52401152\"]\n  8 -> 13 [size =\"52401152\"]\n  8 -> 14 [size =\"52401152\"]\n  8 -> 14 [size =\"52401152\"]\n  8 -> 16 [size =\"52401152\"]\n  9 [size=\"60880213\", alpha=\"0.05\", expect_size=\"18264064\"] \n  9 -> 11 [size =\"18264064\"]\n  9 -> 12 [size =\"18264064\"]\n  9 -> 13 [size =\"18264064\"]\n  9 -> 14 [size =\"18264064\"]\n  9 -> 16 [size =\"18264064\"]\n  10 [size=\"118920533\", alpha=\"0.13\", expect_size=\"35676160\"] \n  10 -> 11 [size =\"35676160\"]\n  10 -> 12 [size =\"35676160\"]\n  10 -> 13 [size =\"35676160\"]\n  10 -> 15 [size =\"35676160\"]\n  10 -> 16 [size =\"35676160\"]\n  11 [size=\"154245120\", alpha=\"0.07\", expect_size=\"46273536\"] \n  11 -> 17 [size =\"46273536\"]\n  11 -> 18 [size =\"46273536\"]\n  11 -> 19 [size =\"46273536\"]\n  11 -> 21 [size =\"46273536\"]\n  12 [size=\"23763627\", alpha=\"0.10\", expect_size=\"7129088\"] \n  12 -> 18 [size =\"7129088\"]\n  12 -> 19 [size =\"7129088\"]\n  12 -> 19 [size =\"7129088\"]\n  12 -> 20 [size =\"7129088\"]\n  12 -> 21 [size =\"7129088\"]\n  13 [size=\"101591040\", alpha=\"0.11\", expect_size=\"30477312\"] \n  13 -> 18 [size =\"30477312\"]\n  13 -> 19 [size =\"30477312\"]\n  13 -> 20 [size =\"30477312\"]\n  13 -> 21 [size =\"30477312\"]\n  14 [size=\"68058453\", alpha=\"0.15\", expect_size=\"20417536\"] \n  14 -> 18 [size =\"20417536\"]\n  14 -> 19 [size =\"20417536\"]\n  14 -> 20 [size =\"20417536\"]\n  15 [size=\"113223680\", alpha=\"0.10\", expect_size=\"33967104\"] \n  15 -> 18 [size =\"33967104\"]\n  15 -> 21 [size =\"33967104\"]\n  16 [size=\"69396480\", alpha=\"0.10\", expect_size=\"20818944\"] \n  16 -> 18 [size =\"20818944\"]\n  16 -> 19 [size =\"20818944\"]\n  16 -> 21 [size =\"20818944\"]\n  16 -> 22 [size =\"20818944\"]\n  17 [size=\"94610773\", alpha=\"0.10\", expect_size=\"28383232\"] \n  17 -> 23 [size =\"28383232\"]\n  17 -> 24 [size =\"28383232\"]\n  17 -> 25 [size =\"28383232\"]\n  17 -> 26 [size =\"28383232\"]\n  17 -> 27 [size =\"28383232\"]\n  18 [size=\"133137067\", alpha=\"0.16\", expect_size=\"39941120\"] \n  18 -> 23 [size =\"39941120\"]\n  18 -> 24 [size =\"39941120\"]\n  18 -> 26 [size =\"39941120\"]\n  18 -> 26 [size =\"39941120\"]\n  19 [size=\"89016320\", alpha=\"0.15\", expect_size=\"26704896\"] \n  19 -> 23 [size =\"26704896\"]\n  19 -> 25 [size =\"26704896\"]\n  19 -> 26 [size =\"26704896\"]\n  19 -> 27 [size =\"26704896\"]\n  20 [size=\"130170880\", alpha=\"0.14\", expect_size=\"39051264\"] \n  20 -> 23 [size =\"39051264\"]\n  20 -> 24 [size =\"39051264\"]\n  20 -> 26 [size =\"39051264\"]\n  21 [size=\"77141333\", alpha=\"0.06\", expect_size=\"23142400\"] \n  21 -> 26 [size =\"23142400\"]\n  21 -> 27 [size =\"23142400\"]\n  22 [size=\"135888213\", alpha=\"0.14\", expect_size=\"40766464\"] \n  22 -> 23 [size =\"40766464\"]\n  22 -> 24 [size =\"40766464\"]\n  22 -> 25 [size =\"40766464\"]\n  22 -> 27 [size =\"40766464\"]\n  23 [size=\"56859307\", alpha=\"0.07\", expect_size=\"17057792\"] \n  23 -> 28 [size =\"17057792\"]\n  23 -> 29 [size =\"17057792\"]\n  23 -> 30 [size =\"17057792\"]\n  23 -> 31 [size =\"17057792\"]\n  23 -> 32 [size =\"17057792\"]\n  23 -> 33 [size =\"17057792\"]\n  24 [size=\"139871573\", alpha=\"0.17\", expect_size=\"41961472\"] \n  24 -> 28 [size =\"41961472\"]\n  24 -> 31 [size =\"41961472\"]\n  24 -> 32 [size =\"41961472\"]\n  24 -> 33 [size =\"41961472\"]\n  25 [size=\"103273813\", alpha=\"0.05\", expect_size=\"30982144\"] \n  25 -> 28 [size =\"30982144\"]\n  25 -> 29 [size =\"30982144\"]\n  25 -> 30 [size =\"30982144\"]\n  25 -> 31 [size =\"30982144\"]\n  25 -> 33 [size =\"30982144\"]\n  25 -> 34 [size =\"30982144\"]\n  26 [size=\"26511360\", alpha=\"0.03\", expect_size=\"7953408\"] \n  26 -> 29 [size =\"7953408\"]\n  26 -> 32 [size =\"7953408\"]\n  26 -> 33 [size =\"7953408\"]\n  27 [size=\"101584213\", alpha=\"0.04\", expect_size=\"30475264\"] \n  27 -> 28 [size =\"30475264\"]\n  27 -> 29 [size =\"30475264\"]\n  27 -> 32 [size =\"30475264\"]\n  27 -> 33 [size =\"30475264\"]\n  28 [size=\"26562560\", alpha=\"0.06\", expect_size=\"7968768\"] \n  28 -> 35 [size =\"7968768\"]\n  28 -> 37 [size =\"7968768\"]\n  29 [size=\"155658240\", alpha=\"0.13\", expect_size=\"46697472\"] \n  29 -> 35 [size =\"46697472\"]\n  29 -> 37 [size =\"46697472\"]\n  30 [size=\"120115200\", alpha=\"0.14\", expect_size=\"36034560\"] \n  30 -> 35 [size =\"36034560\"]\n  30 -> 37 [size =\"36034560\"]\n  31 [size=\"76247040\", alpha=\"0.11\", expect_size=\"22874112\"] \n  32 [size=\"126880427\", alpha=\"0.09\", expect_size=\"38064128\"] \n  32 -> 38 [size =\"38064128\"]\n  33 [size=\"82428587\", alpha=\"0.19\", expect_size=\"24728576\"] \n  33 -> 36 [size =\"24728576\"]\n  33 -> 37 [size =\"24728576\"]\n  34 [size=\"134171307\", alpha=\"0.14\", expect_size=\"40251392\"] \n  34 -> 37 [size =\"40251392\"]\n  34 -> 39 [size =\"40251392\"]\n  35 [size=\"113926827\", alpha=\"0.02\", expect_size=\"34178048\"] \n  35 -> 40 [size =\"34178048\"]\n  36 [size=\"151541760\", alpha=\"0.16\", expect_size=\"45462528\"] \n  36 -> 40 [size =\"45462528\"]\n  37 [size=\"173209600\", alpha=\"0.20\", expect_size=\"51962880\"] \n  37 -> 40 [size =\"51962880\"]\n  38 [size=\"51258027\", alpha=\"0.19\", expect_size=\"15377408\"] \n  38 -> 40 [size =\"15377408\"]\n  39 [size=\"100160853\", alpha=\"0.07\", expect_size=\"30048256\"] \n  39 -> 40 [size =\"30048256\"]\n  40 [size=\"48752640\", alpha=\"0.09\", expect_size=\"14625792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29839360\", alpha=\"0.12\", expect_size=\"11935744\"] \n  1 -> 4 [size =\"11935744\"]\n  1 -> 5 [size =\"11935744\"]\n  2 [size=\"25008640\", alpha=\"0.07\", expect_size=\"10003456\"] \n  2 -> 4 [size =\"10003456\"]\n  3 [size=\"26667520\", alpha=\"0.08\", expect_size=\"10667008\"] \n  3 -> 4 [size =\"10667008\"]\n  4 [size=\"25423360\", alpha=\"0.09\", expect_size=\"10169344\"] \n  4 -> 7 [size =\"10169344\"]\n  4 -> 8 [size =\"10169344\"]\n  5 [size=\"61775360\", alpha=\"0.10\", expect_size=\"24710144\"] \n  5 -> 6 [size =\"24710144\"]\n  6 [size=\"24952320\", alpha=\"0.06\", expect_size=\"9980928\"] \n  6 -> 10 [size =\"9980928\"]\n  7 [size=\"45990400\", alpha=\"0.04\", expect_size=\"18396160\"] \n  7 -> 9 [size =\"18396160\"]\n  7 -> 10 [size =\"18396160\"]\n  8 [size=\"59978240\", alpha=\"0.19\", expect_size=\"23991296\"] \n  9 [size=\"45189120\", alpha=\"0.12\", expect_size=\"18075648\"] \n  10 [size=\"35811840\", alpha=\"0.16\", expect_size=\"14324736\"] \n  10 -> 11 [size =\"14324736\"]\n  10 -> 12 [size =\"14324736\"]\n  11 [size=\"29025280\", alpha=\"0.05\", expect_size=\"11610112\"] \n  11 -> 13 [size =\"11610112\"]\n  11 -> 14 [size =\"11610112\"]\n  11 -> 15 [size =\"11610112\"]\n  12 [size=\"101931520\", alpha=\"0.04\", expect_size=\"40772608\"] \n  12 -> 14 [size =\"40772608\"]\n  12 -> 15 [size =\"40772608\"]\n  13 [size=\"24560640\", alpha=\"0.19\", expect_size=\"9824256\"] \n  13 -> 16 [size =\"9824256\"]\n  13 -> 17 [size =\"9824256\"]\n  14 [size=\"73441280\", alpha=\"0.01\", expect_size=\"29376512\"] \n  14 -> 17 [size =\"29376512\"]\n  15 [size=\"123599360\", alpha=\"0.14\", expect_size=\"49439744\"] \n  15 -> 16 [size =\"49439744\"]\n  15 -> 17 [size =\"49439744\"]\n  16 [size=\"66575360\", alpha=\"0.08\", expect_size=\"26630144\"] \n  16 -> 18 [size =\"26630144\"]\n  16 -> 19 [size =\"26630144\"]\n  17 [size=\"99077120\", alpha=\"0.07\", expect_size=\"39630848\"] \n  17 -> 18 [size =\"39630848\"]\n  18 [size=\"123699200\", alpha=\"0.12\", expect_size=\"49479680\"] \n  18 -> 20 [size =\"49479680\"]\n  18 -> 22 [size =\"49479680\"]\n  19 [size=\"120253440\", alpha=\"0.01\", expect_size=\"48101376\"] \n  19 -> 20 [size =\"48101376\"]\n  19 -> 21 [size =\"48101376\"]\n  20 [size=\"71421440\", alpha=\"0.12\", expect_size=\"28568576\"] \n  20 -> 24 [size =\"28568576\"]\n  20 -> 25 [size =\"28568576\"]\n  21 [size=\"45655040\", alpha=\"0.05\", expect_size=\"18262016\"] \n  21 -> 23 [size =\"18262016\"]\n  21 -> 25 [size =\"18262016\"]\n  22 [size=\"73515520\", alpha=\"0.01\", expect_size=\"29406208\"] \n  22 -> 23 [size =\"29406208\"]\n  22 -> 25 [size =\"29406208\"]\n  23 [size=\"97192960\", alpha=\"0.19\", expect_size=\"38877184\"] \n  23 -> 26 [size =\"38877184\"]\n  24 [size=\"93260800\", alpha=\"0.19\", expect_size=\"37304320\"] \n  25 [size=\"100997120\", alpha=\"0.07\", expect_size=\"40398848\"] \n  25 -> 26 [size =\"40398848\"]\n  25 -> 27 [size =\"40398848\"]\n  26 [size=\"63447040\", alpha=\"0.17\", expect_size=\"25378816\"] \n  26 -> 29 [size =\"25378816\"]\n  26 -> 30 [size =\"25378816\"]\n  27 [size=\"110356480\", alpha=\"0.13\", expect_size=\"44142592\"] \n  27 -> 28 [size =\"44142592\"]\n  27 -> 29 [size =\"44142592\"]\n  27 -> 30 [size =\"44142592\"]\n  28 [size=\"33351680\", alpha=\"0.17\", expect_size=\"13340672\"] \n  28 -> 31 [size =\"13340672\"]\n  28 -> 32 [size =\"13340672\"]\n  29 [size=\"104962560\", alpha=\"0.06\", expect_size=\"41985024\"] \n  29 -> 33 [size =\"41985024\"]\n  30 [size=\"110958080\", alpha=\"0.19\", expect_size=\"44383232\"] \n  31 [size=\"62159360\", alpha=\"0.15\", expect_size=\"24863744\"] \n  31 -> 34 [size =\"24863744\"]\n  31 -> 35 [size =\"24863744\"]\n  32 [size=\"93263360\", alpha=\"0.05\", expect_size=\"37305344\"] \n  32 -> 34 [size =\"37305344\"]\n  32 -> 35 [size =\"37305344\"]\n  33 [size=\"98209280\", alpha=\"0.18\", expect_size=\"39283712\"] \n  34 [size=\"90560000\", alpha=\"0.01\", expect_size=\"36224000\"] \n  34 -> 36 [size =\"36224000\"]\n  34 -> 37 [size =\"36224000\"]\n  35 [size=\"82629120\", alpha=\"0.03\", expect_size=\"33051648\"] \n  35 -> 36 [size =\"33051648\"]\n  36 [size=\"123089920\", alpha=\"0.13\", expect_size=\"49235968\"] \n  36 -> 38 [size =\"49235968\"]\n  36 -> 39 [size =\"49235968\"]\n  36 -> 40 [size =\"49235968\"]\n  37 [size=\"105822720\", alpha=\"0.19\", expect_size=\"42329088\"] \n  37 -> 38 [size =\"42329088\"]\n  37 -> 40 [size =\"42329088\"]\n  38 [size=\"63710720\", alpha=\"0.03\", expect_size=\"25484288\"] \n  39 [size=\"43627520\", alpha=\"0.05\", expect_size=\"17451008\"] \n  40 [size=\"77652480\", alpha=\"0.17\", expect_size=\"31060992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120076800\", alpha=\"0.06\", expect_size=\"48030720\"] \n  1 -> 18 [size =\"48030720\"]\n  1 -> 20 [size =\"48030720\"]\n  1 -> 22 [size =\"48030720\"]\n  1 -> 23 [size =\"48030720\"]\n  1 -> 32 [size =\"48030720\"]\n  2 [size=\"127818240\", alpha=\"0.07\", expect_size=\"51127296\"] \n  2 -> 16 [size =\"51127296\"]\n  2 -> 20 [size =\"51127296\"]\n  2 -> 22 [size =\"51127296\"]\n  2 -> 26 [size =\"51127296\"]\n  2 -> 30 [size =\"51127296\"]\n  2 -> 32 [size =\"51127296\"]\n  3 [size=\"23193600\", alpha=\"0.14\", expect_size=\"9277440\"] \n  3 -> 22 [size =\"9277440\"]\n  3 -> 25 [size =\"9277440\"]\n  3 -> 27 [size =\"9277440\"]\n  3 -> 30 [size =\"9277440\"]\n  3 -> 31 [size =\"9277440\"]\n  3 -> 32 [size =\"9277440\"]\n  4 [size=\"129973760\", alpha=\"0.10\", expect_size=\"51989504\"] \n  4 -> 22 [size =\"51989504\"]\n  4 -> 27 [size =\"51989504\"]\n  4 -> 29 [size =\"51989504\"]\n  4 -> 30 [size =\"51989504\"]\n  5 [size=\"109854720\", alpha=\"0.08\", expect_size=\"43941888\"] \n  5 -> 21 [size =\"43941888\"]\n  5 -> 22 [size =\"43941888\"]\n  5 -> 28 [size =\"43941888\"]\n  5 -> 30 [size =\"43941888\"]\n  6 [size=\"36679680\", alpha=\"0.08\", expect_size=\"14671872\"] \n  6 -> 16 [size =\"14671872\"]\n  6 -> 19 [size =\"14671872\"]\n  6 -> 22 [size =\"14671872\"]\n  6 -> 25 [size =\"14671872\"]\n  6 -> 28 [size =\"14671872\"]\n  6 -> 30 [size =\"14671872\"]\n  6 -> 32 [size =\"14671872\"]\n  7 [size=\"67947520\", alpha=\"0.04\", expect_size=\"27179008\"] \n  7 -> 17 [size =\"27179008\"]\n  7 -> 24 [size =\"27179008\"]\n  7 -> 30 [size =\"27179008\"]\n  7 -> 32 [size =\"27179008\"]\n  8 [size=\"70568960\", alpha=\"0.19\", expect_size=\"28227584\"] \n  8 -> 19 [size =\"28227584\"]\n  8 -> 28 [size =\"28227584\"]\n  8 -> 30 [size =\"28227584\"]\n  8 -> 32 [size =\"28227584\"]\n  9 [size=\"101337600\", alpha=\"0.07\", expect_size=\"40535040\"] \n  9 -> 16 [size =\"40535040\"]\n  9 -> 22 [size =\"40535040\"]\n  9 -> 24 [size =\"40535040\"]\n  9 -> 25 [size =\"40535040\"]\n  9 -> 26 [size =\"40535040\"]\n  9 -> 28 [size =\"40535040\"]\n  9 -> 29 [size =\"40535040\"]\n  9 -> 30 [size =\"40535040\"]\n  9 -> 32 [size =\"40535040\"]\n  10 [size=\"58406400\", alpha=\"0.04\", expect_size=\"23362560\"] \n  10 -> 17 [size =\"23362560\"]\n  10 -> 25 [size =\"23362560\"]\n  10 -> 28 [size =\"23362560\"]\n  10 -> 29 [size =\"23362560\"]\n  10 -> 30 [size =\"23362560\"]\n  10 -> 32 [size =\"23362560\"]\n  11 [size=\"102694400\", alpha=\"0.13\", expect_size=\"41077760\"] \n  11 -> 20 [size =\"41077760\"]\n  11 -> 23 [size =\"41077760\"]\n  11 -> 25 [size =\"41077760\"]\n  11 -> 30 [size =\"41077760\"]\n  11 -> 32 [size =\"41077760\"]\n  12 [size=\"19555840\", alpha=\"0.01\", expect_size=\"7822336\"] \n  12 -> 27 [size =\"7822336\"]\n  12 -> 28 [size =\"7822336\"]\n  12 -> 31 [size =\"7822336\"]\n  13 [size=\"59668480\", alpha=\"0.10\", expect_size=\"23867392\"] \n  13 -> 21 [size =\"23867392\"]\n  13 -> 23 [size =\"23867392\"]\n  14 [size=\"24320000\", alpha=\"0.20\", expect_size=\"9728000\"] \n  14 -> 16 [size =\"9728000\"]\n  14 -> 20 [size =\"9728000\"]\n  14 -> 21 [size =\"9728000\"]\n  14 -> 22 [size =\"9728000\"]\n  14 -> 25 [size =\"9728000\"]\n  14 -> 27 [size =\"9728000\"]\n  14 -> 32 [size =\"9728000\"]\n  15 [size=\"85114880\", alpha=\"0.07\", expect_size=\"34045952\"] \n  15 -> 17 [size =\"34045952\"]\n  15 -> 22 [size =\"34045952\"]\n  15 -> 23 [size =\"34045952\"]\n  15 -> 27 [size =\"34045952\"]\n  15 -> 28 [size =\"34045952\"]\n  15 -> 29 [size =\"34045952\"]\n  15 -> 30 [size =\"34045952\"]\n  15 -> 32 [size =\"34045952\"]\n  16 [size=\"16808960\", alpha=\"0.01\", expect_size=\"6723584\"] \n  16 -> 35 [size =\"6723584\"]\n  16 -> 36 [size =\"6723584\"]\n  16 -> 38 [size =\"6723584\"]\n  17 [size=\"63887360\", alpha=\"0.15\", expect_size=\"25554944\"] \n  17 -> 33 [size =\"25554944\"]\n  17 -> 37 [size =\"25554944\"]\n  17 -> 38 [size =\"25554944\"]\n  18 [size=\"85434880\", alpha=\"0.16\", expect_size=\"34173952\"] \n  18 -> 33 [size =\"34173952\"]\n  18 -> 37 [size =\"34173952\"]\n  19 [size=\"78443520\", alpha=\"0.17\", expect_size=\"31377408\"] \n  19 -> 33 [size =\"31377408\"]\n  19 -> 37 [size =\"31377408\"]\n  20 [size=\"119068160\", alpha=\"0.11\", expect_size=\"47627264\"] \n  20 -> 33 [size =\"47627264\"]\n  20 -> 37 [size =\"47627264\"]\n  20 -> 40 [size =\"47627264\"]\n  21 [size=\"26270720\", alpha=\"0.04\", expect_size=\"10508288\"] \n  21 -> 37 [size =\"10508288\"]\n  22 [size=\"102924800\", alpha=\"0.16\", expect_size=\"41169920\"] \n  22 -> 33 [size =\"41169920\"]\n  22 -> 34 [size =\"41169920\"]\n  22 -> 35 [size =\"41169920\"]\n  22 -> 37 [size =\"41169920\"]\n  23 [size=\"110208000\", alpha=\"0.10\", expect_size=\"44083200\"] \n  23 -> 38 [size =\"44083200\"]\n  23 -> 40 [size =\"44083200\"]\n  24 [size=\"50483200\", alpha=\"0.04\", expect_size=\"20193280\"] \n  24 -> 34 [size =\"20193280\"]\n  24 -> 35 [size =\"20193280\"]\n  24 -> 39 [size =\"20193280\"]\n  24 -> 40 [size =\"20193280\"]\n  25 [size=\"48542720\", alpha=\"0.14\", expect_size=\"19417088\"] \n  25 -> 35 [size =\"19417088\"]\n  25 -> 38 [size =\"19417088\"]\n  26 [size=\"86891520\", alpha=\"0.08\", expect_size=\"34756608\"] \n  26 -> 37 [size =\"34756608\"]\n  26 -> 38 [size =\"34756608\"]\n  27 [size=\"93434880\", alpha=\"0.12\", expect_size=\"37373952\"] \n  27 -> 33 [size =\"37373952\"]\n  27 -> 35 [size =\"37373952\"]\n  27 -> 37 [size =\"37373952\"]\n  27 -> 38 [size =\"37373952\"]\n  27 -> 39 [size =\"37373952\"]\n  27 -> 40 [size =\"37373952\"]\n  28 [size=\"66496000\", alpha=\"0.05\", expect_size=\"26598400\"] \n  29 [size=\"44666880\", alpha=\"0.13\", expect_size=\"17866752\"] \n  29 -> 34 [size =\"17866752\"]\n  29 -> 37 [size =\"17866752\"]\n  29 -> 40 [size =\"17866752\"]\n  30 [size=\"24872960\", alpha=\"0.09\", expect_size=\"9949184\"] \n  30 -> 37 [size =\"9949184\"]\n  30 -> 38 [size =\"9949184\"]\n  30 -> 39 [size =\"9949184\"]\n  31 [size=\"91333120\", alpha=\"0.20\", expect_size=\"36533248\"] \n  31 -> 34 [size =\"36533248\"]\n  31 -> 35 [size =\"36533248\"]\n  31 -> 37 [size =\"36533248\"]\n  31 -> 38 [size =\"36533248\"]\n  32 [size=\"115082240\", alpha=\"0.12\", expect_size=\"46032896\"] \n  32 -> 37 [size =\"46032896\"]\n  32 -> 38 [size =\"46032896\"]\n  32 -> 39 [size =\"46032896\"]\n  33 [size=\"92874240\", alpha=\"0.12\", expect_size=\"37149696\"] \n  34 [size=\"34790400\", alpha=\"0.14\", expect_size=\"13916160\"] \n  35 [size=\"57704960\", alpha=\"0.08\", expect_size=\"23081984\"] \n  36 [size=\"22433280\", alpha=\"0.02\", expect_size=\"8973312\"] \n  37 [size=\"70512640\", alpha=\"0.06\", expect_size=\"28205056\"] \n  38 [size=\"20853760\", alpha=\"0.01\", expect_size=\"8341504\"] \n  39 [size=\"48890880\", alpha=\"0.08\", expect_size=\"19556352\"] \n  40 [size=\"124887040\", alpha=\"0.13\", expect_size=\"49954816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110448640\", alpha=\"0.08\", expect_size=\"44179456\"] \n  1 -> 19 [size =\"44179456\"]\n  1 -> 21 [size =\"44179456\"]\n  1 -> 22 [size =\"44179456\"]\n  1 -> 23 [size =\"44179456\"]\n  1 -> 25 [size =\"44179456\"]\n  1 -> 27 [size =\"44179456\"]\n  2 [size=\"54202880\", alpha=\"0.18\", expect_size=\"21681152\"] \n  2 -> 17 [size =\"21681152\"]\n  2 -> 24 [size =\"21681152\"]\n  2 -> 27 [size =\"21681152\"]\n  3 [size=\"78343680\", alpha=\"0.09\", expect_size=\"31337472\"] \n  3 -> 17 [size =\"31337472\"]\n  3 -> 19 [size =\"31337472\"]\n  3 -> 21 [size =\"31337472\"]\n  3 -> 24 [size =\"31337472\"]\n  3 -> 28 [size =\"31337472\"]\n  4 [size=\"40668160\", alpha=\"0.04\", expect_size=\"16267264\"] \n  4 -> 17 [size =\"16267264\"]\n  4 -> 26 [size =\"16267264\"]\n  5 [size=\"116193280\", alpha=\"0.10\", expect_size=\"46477312\"] \n  5 -> 19 [size =\"46477312\"]\n  5 -> 20 [size =\"46477312\"]\n  5 -> 21 [size =\"46477312\"]\n  5 -> 22 [size =\"46477312\"]\n  5 -> 25 [size =\"46477312\"]\n  6 [size=\"15301120\", alpha=\"0.12\", expect_size=\"6120448\"] \n  6 -> 17 [size =\"6120448\"]\n  6 -> 19 [size =\"6120448\"]\n  6 -> 21 [size =\"6120448\"]\n  6 -> 23 [size =\"6120448\"]\n  6 -> 25 [size =\"6120448\"]\n  6 -> 27 [size =\"6120448\"]\n  7 [size=\"127403520\", alpha=\"0.10\", expect_size=\"50961408\"] \n  7 -> 17 [size =\"50961408\"]\n  7 -> 19 [size =\"50961408\"]\n  7 -> 21 [size =\"50961408\"]\n  7 -> 23 [size =\"50961408\"]\n  7 -> 27 [size =\"50961408\"]\n  8 [size=\"59397120\", alpha=\"0.01\", expect_size=\"23758848\"] \n  8 -> 17 [size =\"23758848\"]\n  8 -> 19 [size =\"23758848\"]\n  8 -> 21 [size =\"23758848\"]\n  8 -> 24 [size =\"23758848\"]\n  8 -> 26 [size =\"23758848\"]\n  9 [size=\"111941120\", alpha=\"0.15\", expect_size=\"44776448\"] \n  9 -> 19 [size =\"44776448\"]\n  9 -> 20 [size =\"44776448\"]\n  9 -> 21 [size =\"44776448\"]\n  9 -> 26 [size =\"44776448\"]\n  9 -> 27 [size =\"44776448\"]\n  10 [size=\"45368320\", alpha=\"0.04\", expect_size=\"18147328\"] \n  10 -> 17 [size =\"18147328\"]\n  10 -> 20 [size =\"18147328\"]\n  10 -> 24 [size =\"18147328\"]\n  10 -> 25 [size =\"18147328\"]\n  10 -> 26 [size =\"18147328\"]\n  11 [size=\"29777920\", alpha=\"0.06\", expect_size=\"11911168\"] \n  11 -> 22 [size =\"11911168\"]\n  11 -> 28 [size =\"11911168\"]\n  12 [size=\"74490880\", alpha=\"0.04\", expect_size=\"29796352\"] \n  12 -> 17 [size =\"29796352\"]\n  12 -> 22 [size =\"29796352\"]\n  12 -> 23 [size =\"29796352\"]\n  12 -> 24 [size =\"29796352\"]\n  12 -> 27 [size =\"29796352\"]\n  12 -> 28 [size =\"29796352\"]\n  13 [size=\"60096000\", alpha=\"0.08\", expect_size=\"24038400\"] \n  13 -> 22 [size =\"24038400\"]\n  13 -> 22 [size =\"24038400\"]\n  13 -> 25 [size =\"24038400\"]\n  14 [size=\"112573440\", alpha=\"0.12\", expect_size=\"45029376\"] \n  14 -> 19 [size =\"45029376\"]\n  14 -> 20 [size =\"45029376\"]\n  14 -> 21 [size =\"45029376\"]\n  14 -> 22 [size =\"45029376\"]\n  14 -> 23 [size =\"45029376\"]\n  14 -> 25 [size =\"45029376\"]\n  14 -> 27 [size =\"45029376\"]\n  14 -> 28 [size =\"45029376\"]\n  15 [size=\"16509440\", alpha=\"0.03\", expect_size=\"6603776\"] \n  15 -> 27 [size =\"6603776\"]\n  15 -> 28 [size =\"6603776\"]\n  16 [size=\"74480640\", alpha=\"0.02\", expect_size=\"29792256\"] \n  16 -> 18 [size =\"29792256\"]\n  16 -> 22 [size =\"29792256\"]\n  16 -> 23 [size =\"29792256\"]\n  16 -> 27 [size =\"29792256\"]\n  17 [size=\"29570560\", alpha=\"0.02\", expect_size=\"11828224\"] \n  17 -> 29 [size =\"11828224\"]\n  17 -> 30 [size =\"11828224\"]\n  17 -> 37 [size =\"11828224\"]\n  17 -> 38 [size =\"11828224\"]\n  17 -> 39 [size =\"11828224\"]\n  18 [size=\"90956800\", alpha=\"0.14\", expect_size=\"36382720\"] \n  18 -> 29 [size =\"36382720\"]\n  18 -> 30 [size =\"36382720\"]\n  18 -> 32 [size =\"36382720\"]\n  18 -> 37 [size =\"36382720\"]\n  18 -> 40 [size =\"36382720\"]\n  19 [size=\"94896640\", alpha=\"0.17\", expect_size=\"37958656\"] \n  19 -> 30 [size =\"37958656\"]\n  19 -> 30 [size =\"37958656\"]\n  19 -> 33 [size =\"37958656\"]\n  19 -> 37 [size =\"37958656\"]\n  20 [size=\"66836480\", alpha=\"0.17\", expect_size=\"26734592\"] \n  20 -> 31 [size =\"26734592\"]\n  20 -> 32 [size =\"26734592\"]\n  20 -> 33 [size =\"26734592\"]\n  20 -> 36 [size =\"26734592\"]\n  20 -> 38 [size =\"26734592\"]\n  20 -> 39 [size =\"26734592\"]\n  21 [size=\"89538560\", alpha=\"0.15\", expect_size=\"35815424\"] \n  21 -> 29 [size =\"35815424\"]\n  21 -> 30 [size =\"35815424\"]\n  21 -> 31 [size =\"35815424\"]\n  21 -> 32 [size =\"35815424\"]\n  21 -> 33 [size =\"35815424\"]\n  21 -> 37 [size =\"35815424\"]\n  21 -> 39 [size =\"35815424\"]\n  22 [size=\"124861440\", alpha=\"0.19\", expect_size=\"49944576\"] \n  22 -> 30 [size =\"49944576\"]\n  22 -> 30 [size =\"49944576\"]\n  22 -> 35 [size =\"49944576\"]\n  22 -> 36 [size =\"49944576\"]\n  22 -> 38 [size =\"49944576\"]\n  22 -> 39 [size =\"49944576\"]\n  23 [size=\"31249920\", alpha=\"0.14\", expect_size=\"12499968\"] \n  23 -> 29 [size =\"12499968\"]\n  23 -> 39 [size =\"12499968\"]\n  24 [size=\"80514560\", alpha=\"0.14\", expect_size=\"32205824\"] \n  24 -> 31 [size =\"32205824\"]\n  24 -> 32 [size =\"32205824\"]\n  24 -> 33 [size =\"32205824\"]\n  24 -> 34 [size =\"32205824\"]\n  24 -> 37 [size =\"32205824\"]\n  24 -> 39 [size =\"32205824\"]\n  25 [size=\"36057600\", alpha=\"0.11\", expect_size=\"14423040\"] \n  25 -> 32 [size =\"14423040\"]\n  25 -> 34 [size =\"14423040\"]\n  25 -> 38 [size =\"14423040\"]\n  25 -> 39 [size =\"14423040\"]\n  26 [size=\"52674560\", alpha=\"0.09\", expect_size=\"21069824\"] \n  26 -> 37 [size =\"21069824\"]\n  27 [size=\"62231040\", alpha=\"0.06\", expect_size=\"24892416\"] \n  27 -> 29 [size =\"24892416\"]\n  27 -> 31 [size =\"24892416\"]\n  27 -> 33 [size =\"24892416\"]\n  27 -> 37 [size =\"24892416\"]\n  27 -> 40 [size =\"24892416\"]\n  28 [size=\"76454400\", alpha=\"0.11\", expect_size=\"30581760\"] \n  28 -> 29 [size =\"30581760\"]\n  28 -> 32 [size =\"30581760\"]\n  28 -> 36 [size =\"30581760\"]\n  28 -> 37 [size =\"30581760\"]\n  28 -> 38 [size =\"30581760\"]\n  28 -> 40 [size =\"30581760\"]\n  29 [size=\"41858560\", alpha=\"0.13\", expect_size=\"16743424\"] \n  30 [size=\"22074880\", alpha=\"0.00\", expect_size=\"8829952\"] \n  31 [size=\"124487680\", alpha=\"0.10\", expect_size=\"49795072\"] \n  32 [size=\"92541440\", alpha=\"0.11\", expect_size=\"37016576\"] \n  33 [size=\"85301760\", alpha=\"0.19\", expect_size=\"34120704\"] \n  34 [size=\"50040320\", alpha=\"0.04\", expect_size=\"20016128\"] \n  35 [size=\"14318080\", alpha=\"0.10\", expect_size=\"5727232\"] \n  36 [size=\"81223680\", alpha=\"0.07\", expect_size=\"32489472\"] \n  37 [size=\"17024000\", alpha=\"0.06\", expect_size=\"6809600\"] \n  38 [size=\"53977600\", alpha=\"0.18\", expect_size=\"21591040\"] \n  39 [size=\"120414720\", alpha=\"0.04\", expect_size=\"48165888\"] \n  40 [size=\"79239680\", alpha=\"0.19\", expect_size=\"31695872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114895360\", alpha=\"0.08\", expect_size=\"45958144\"] \n  1 -> 3 [size =\"45958144\"]\n  1 -> 4 [size =\"45958144\"]\n  2 [size=\"41658880\", alpha=\"0.01\", expect_size=\"16663552\"] \n  2 -> 3 [size =\"16663552\"]\n  2 -> 4 [size =\"16663552\"]\n  3 [size=\"121520640\", alpha=\"0.17\", expect_size=\"48608256\"] \n  3 -> 5 [size =\"48608256\"]\n  3 -> 6 [size =\"48608256\"]\n  3 -> 7 [size =\"48608256\"]\n  4 [size=\"14681600\", alpha=\"0.14\", expect_size=\"5872640\"] \n  4 -> 5 [size =\"5872640\"]\n  4 -> 6 [size =\"5872640\"]\n  4 -> 7 [size =\"5872640\"]\n  5 [size=\"45317120\", alpha=\"0.09\", expect_size=\"18126848\"] \n  5 -> 9 [size =\"18126848\"]\n  6 [size=\"59432960\", alpha=\"0.09\", expect_size=\"23773184\"] \n  6 -> 8 [size =\"23773184\"]\n  6 -> 10 [size =\"23773184\"]\n  7 [size=\"54328320\", alpha=\"0.15\", expect_size=\"21731328\"] \n  7 -> 9 [size =\"21731328\"]\n  8 [size=\"120417280\", alpha=\"0.05\", expect_size=\"48166912\"] \n  8 -> 12 [size =\"48166912\"]\n  8 -> 13 [size =\"48166912\"]\n  9 [size=\"86256640\", alpha=\"0.10\", expect_size=\"34502656\"] \n  9 -> 12 [size =\"34502656\"]\n  9 -> 13 [size =\"34502656\"]\n  10 [size=\"29900800\", alpha=\"0.03\", expect_size=\"11960320\"] \n  10 -> 11 [size =\"11960320\"]\n  10 -> 12 [size =\"11960320\"]\n  10 -> 13 [size =\"11960320\"]\n  11 [size=\"121536000\", alpha=\"0.13\", expect_size=\"48614400\"] \n  11 -> 14 [size =\"48614400\"]\n  11 -> 15 [size =\"48614400\"]\n  12 [size=\"49108480\", alpha=\"0.18\", expect_size=\"19643392\"] \n  12 -> 14 [size =\"19643392\"]\n  13 [size=\"55621120\", alpha=\"0.03\", expect_size=\"22248448\"] \n  13 -> 14 [size =\"22248448\"]\n  13 -> 15 [size =\"22248448\"]\n  14 [size=\"35061760\", alpha=\"0.01\", expect_size=\"14024704\"] \n  14 -> 16 [size =\"14024704\"]\n  14 -> 17 [size =\"14024704\"]\n  14 -> 18 [size =\"14024704\"]\n  15 [size=\"117473280\", alpha=\"0.08\", expect_size=\"46989312\"] \n  15 -> 16 [size =\"46989312\"]\n  15 -> 17 [size =\"46989312\"]\n  15 -> 18 [size =\"46989312\"]\n  16 [size=\"54970880\", alpha=\"0.01\", expect_size=\"21988352\"] \n  16 -> 20 [size =\"21988352\"]\n  16 -> 21 [size =\"21988352\"]\n  17 [size=\"106534400\", alpha=\"0.12\", expect_size=\"42613760\"] \n  17 -> 21 [size =\"42613760\"]\n  18 [size=\"77104640\", alpha=\"0.03\", expect_size=\"30841856\"] \n  18 -> 19 [size =\"30841856\"]\n  18 -> 20 [size =\"30841856\"]\n  19 [size=\"104332800\", alpha=\"0.19\", expect_size=\"41733120\"] \n  19 -> 22 [size =\"41733120\"]\n  19 -> 23 [size =\"41733120\"]\n  20 [size=\"44067840\", alpha=\"0.10\", expect_size=\"17627136\"] \n  20 -> 22 [size =\"17627136\"]\n  21 [size=\"61245440\", alpha=\"0.19\", expect_size=\"24498176\"] \n  21 -> 22 [size =\"24498176\"]\n  21 -> 23 [size =\"24498176\"]\n  22 [size=\"20042240\", alpha=\"0.13\", expect_size=\"8016896\"] \n  22 -> 24 [size =\"8016896\"]\n  22 -> 25 [size =\"8016896\"]\n  22 -> 26 [size =\"8016896\"]\n  23 [size=\"125839360\", alpha=\"0.05\", expect_size=\"50335744\"] \n  23 -> 24 [size =\"50335744\"]\n  23 -> 25 [size =\"50335744\"]\n  23 -> 26 [size =\"50335744\"]\n  24 [size=\"24133120\", alpha=\"0.17\", expect_size=\"9653248\"] \n  25 [size=\"31746560\", alpha=\"0.14\", expect_size=\"12698624\"] \n  25 -> 27 [size =\"12698624\"]\n  25 -> 28 [size =\"12698624\"]\n  26 [size=\"81589760\", alpha=\"0.20\", expect_size=\"32635904\"] \n  26 -> 27 [size =\"32635904\"]\n  27 [size=\"85148160\", alpha=\"0.12\", expect_size=\"34059264\"] \n  27 -> 29 [size =\"34059264\"]\n  27 -> 30 [size =\"34059264\"]\n  28 [size=\"38489600\", alpha=\"0.03\", expect_size=\"15395840\"] \n  28 -> 29 [size =\"15395840\"]\n  28 -> 30 [size =\"15395840\"]\n  29 [size=\"58035200\", alpha=\"0.06\", expect_size=\"23214080\"] \n  29 -> 31 [size =\"23214080\"]\n  29 -> 32 [size =\"23214080\"]\n  30 [size=\"51507200\", alpha=\"0.12\", expect_size=\"20602880\"] \n  30 -> 31 [size =\"20602880\"]\n  30 -> 33 [size =\"20602880\"]\n  31 [size=\"112581120\", alpha=\"0.17\", expect_size=\"45032448\"] \n  31 -> 34 [size =\"45032448\"]\n  31 -> 35 [size =\"45032448\"]\n  32 [size=\"107115520\", alpha=\"0.07\", expect_size=\"42846208\"] \n  32 -> 34 [size =\"42846208\"]\n  32 -> 35 [size =\"42846208\"]\n  33 [size=\"63664640\", alpha=\"0.05\", expect_size=\"25465856\"] \n  33 -> 34 [size =\"25465856\"]\n  33 -> 36 [size =\"25465856\"]\n  34 [size=\"90641920\", alpha=\"0.06\", expect_size=\"36256768\"] \n  34 -> 38 [size =\"36256768\"]\n  34 -> 39 [size =\"36256768\"]\n  35 [size=\"71659520\", alpha=\"0.05\", expect_size=\"28663808\"] \n  35 -> 37 [size =\"28663808\"]\n  35 -> 38 [size =\"28663808\"]\n  35 -> 39 [size =\"28663808\"]\n  36 [size=\"38924800\", alpha=\"0.11\", expect_size=\"15569920\"] \n  36 -> 37 [size =\"15569920\"]\n  36 -> 38 [size =\"15569920\"]\n  36 -> 39 [size =\"15569920\"]\n  37 [size=\"38766080\", alpha=\"0.13\", expect_size=\"15506432\"] \n  37 -> 40 [size =\"15506432\"]\n  38 [size=\"112409600\", alpha=\"0.06\", expect_size=\"44963840\"] \n  38 -> 40 [size =\"44963840\"]\n  39 [size=\"13265920\", alpha=\"0.14\", expect_size=\"5306368\"] \n  39 -> 40 [size =\"5306368\"]\n  40 [size=\"50416640\", alpha=\"0.08\", expect_size=\"20166656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149248000\", alpha=\"0.16\", expect_size=\"44774400\"] \n  1 -> 21 [size =\"44774400\"]\n  2 [size=\"30170453\", alpha=\"0.08\", expect_size=\"9051136\"] \n  2 -> 20 [size =\"9051136\"]\n  3 [size=\"134079147\", alpha=\"0.07\", expect_size=\"40223744\"] \n  3 -> 20 [size =\"40223744\"]\n  4 [size=\"80926720\", alpha=\"0.04\", expect_size=\"24278016\"] \n  4 -> 18 [size =\"24278016\"]\n  4 -> 20 [size =\"24278016\"]\n  5 [size=\"54152533\", alpha=\"0.16\", expect_size=\"16245760\"] \n  5 -> 22 [size =\"16245760\"]\n  6 [size=\"107827200\", alpha=\"0.13\", expect_size=\"32348160\"] \n  7 [size=\"70222507\", alpha=\"0.06\", expect_size=\"21066752\"] \n  8 [size=\"172400640\", alpha=\"0.02\", expect_size=\"51720192\"] \n  9 [size=\"170659840\", alpha=\"0.04\", expect_size=\"51197952\"] \n  10 [size=\"145442133\", alpha=\"0.16\", expect_size=\"43632640\"] \n  11 [size=\"161297067\", alpha=\"0.11\", expect_size=\"48389120\"] \n  11 -> 23 [size =\"48389120\"]\n  12 [size=\"127764480\", alpha=\"0.13\", expect_size=\"38329344\"] \n  12 -> 19 [size =\"38329344\"]\n  12 -> 23 [size =\"38329344\"]\n  13 [size=\"31051093\", alpha=\"0.05\", expect_size=\"9315328\"] \n  13 -> 18 [size =\"9315328\"]\n  13 -> 21 [size =\"9315328\"]\n  14 [size=\"83138560\", alpha=\"0.18\", expect_size=\"24941568\"] \n  14 -> 21 [size =\"24941568\"]\n  14 -> 23 [size =\"24941568\"]\n  14 -> 24 [size =\"24941568\"]\n  15 [size=\"115135147\", alpha=\"0.18\", expect_size=\"34540544\"] \n  15 -> 20 [size =\"34540544\"]\n  16 [size=\"80711680\", alpha=\"0.06\", expect_size=\"24213504\"] \n  16 -> 18 [size =\"24213504\"]\n  16 -> 20 [size =\"24213504\"]\n  17 [size=\"29405867\", alpha=\"0.06\", expect_size=\"8821760\"] \n  17 -> 23 [size =\"8821760\"]\n  18 [size=\"76083200\", alpha=\"0.13\", expect_size=\"22824960\"] \n  18 -> 28 [size =\"22824960\"]\n  18 -> 34 [size =\"22824960\"]\n  18 -> 35 [size =\"22824960\"]\n  19 [size=\"92344320\", alpha=\"0.03\", expect_size=\"27703296\"] \n  19 -> 27 [size =\"27703296\"]\n  19 -> 33 [size =\"27703296\"]\n  19 -> 37 [size =\"27703296\"]\n  20 [size=\"126658560\", alpha=\"0.15\", expect_size=\"37997568\"] \n  20 -> 25 [size =\"37997568\"]\n  20 -> 27 [size =\"37997568\"]\n  20 -> 29 [size =\"37997568\"]\n  20 -> 30 [size =\"37997568\"]\n  20 -> 31 [size =\"37997568\"]\n  20 -> 33 [size =\"37997568\"]\n  20 -> 34 [size =\"37997568\"]\n  21 [size=\"94078293\", alpha=\"0.03\", expect_size=\"28223488\"] \n  21 -> 31 [size =\"28223488\"]\n  21 -> 34 [size =\"28223488\"]\n  21 -> 36 [size =\"28223488\"]\n  22 [size=\"23425707\", alpha=\"0.13\", expect_size=\"7027712\"] \n  22 -> 26 [size =\"7027712\"]\n  22 -> 28 [size =\"7027712\"]\n  22 -> 31 [size =\"7027712\"]\n  22 -> 32 [size =\"7027712\"]\n  22 -> 33 [size =\"7027712\"]\n  22 -> 37 [size =\"7027712\"]\n  23 [size=\"124941653\", alpha=\"0.17\", expect_size=\"37482496\"] \n  23 -> 28 [size =\"37482496\"]\n  23 -> 29 [size =\"37482496\"]\n  23 -> 31 [size =\"37482496\"]\n  23 -> 32 [size =\"37482496\"]\n  23 -> 35 [size =\"37482496\"]\n  24 [size=\"161348267\", alpha=\"0.10\", expect_size=\"48404480\"] \n  24 -> 28 [size =\"48404480\"]\n  24 -> 29 [size =\"48404480\"]\n  24 -> 35 [size =\"48404480\"]\n  24 -> 36 [size =\"48404480\"]\n  25 [size=\"141813760\", alpha=\"0.08\", expect_size=\"42544128\"] \n  25 -> 38 [size =\"42544128\"]\n  25 -> 39 [size =\"42544128\"]\n  25 -> 40 [size =\"42544128\"]\n  26 [size=\"128440320\", alpha=\"0.17\", expect_size=\"38532096\"] \n  26 -> 39 [size =\"38532096\"]\n  26 -> 39 [size =\"38532096\"]\n  26 -> 40 [size =\"38532096\"]\n  27 [size=\"20295680\", alpha=\"0.12\", expect_size=\"6088704\"] \n  27 -> 40 [size =\"6088704\"]\n  28 [size=\"68037973\", alpha=\"0.08\", expect_size=\"20411392\"] \n  28 -> 38 [size =\"20411392\"]\n  28 -> 40 [size =\"20411392\"]\n  29 [size=\"171741867\", alpha=\"0.02\", expect_size=\"51522560\"] \n  30 [size=\"39075840\", alpha=\"0.14\", expect_size=\"11722752\"] \n  30 -> 40 [size =\"11722752\"]\n  31 [size=\"154207573\", alpha=\"0.03\", expect_size=\"46262272\"] \n  32 [size=\"19770027\", alpha=\"0.06\", expect_size=\"5931008\"] \n  32 -> 39 [size =\"5931008\"]\n  33 [size=\"120313173\", alpha=\"0.11\", expect_size=\"36093952\"] \n  33 -> 39 [size =\"36093952\"]\n  34 [size=\"100584107\", alpha=\"0.05\", expect_size=\"30175232\"] \n  34 -> 38 [size =\"30175232\"]\n  34 -> 39 [size =\"30175232\"]\n  35 [size=\"24040107\", alpha=\"0.11\", expect_size=\"7212032\"] \n  36 [size=\"84637013\", alpha=\"0.05\", expect_size=\"25391104\"] \n  36 -> 38 [size =\"25391104\"]\n  37 [size=\"58159787\", alpha=\"0.00\", expect_size=\"17447936\"] \n  37 -> 40 [size =\"17447936\"]\n  38 [size=\"154641067\", alpha=\"0.03\", expect_size=\"46392320\"] \n  39 [size=\"57146027\", alpha=\"0.15\", expect_size=\"17143808\"] \n  40 [size=\"76148053\", alpha=\"0.02\", expect_size=\"22844416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18432000\", alpha=\"0.10\", expect_size=\"7372800\"] \n  1 -> 2 [size =\"7372800\"]\n  2 [size=\"34805760\", alpha=\"0.03\", expect_size=\"13922304\"] \n  2 -> 3 [size =\"13922304\"]\n  3 [size=\"109002240\", alpha=\"0.04\", expect_size=\"43600896\"] \n  3 -> 4 [size =\"43600896\"]\n  4 [size=\"129704960\", alpha=\"0.05\", expect_size=\"51881984\"] \n  4 -> 5 [size =\"51881984\"]\n  5 [size=\"105200640\", alpha=\"0.10\", expect_size=\"42080256\"] \n  5 -> 6 [size =\"42080256\"]\n  6 [size=\"18908160\", alpha=\"0.16\", expect_size=\"7563264\"] \n  6 -> 7 [size =\"7563264\"]\n  7 [size=\"20088320\", alpha=\"0.19\", expect_size=\"8035328\"] \n  7 -> 8 [size =\"8035328\"]\n  8 [size=\"75486720\", alpha=\"0.00\", expect_size=\"30194688\"] \n  8 -> 9 [size =\"30194688\"]\n  9 [size=\"34695680\", alpha=\"0.16\", expect_size=\"13878272\"] \n  9 -> 10 [size =\"13878272\"]\n  10 [size=\"18106880\", alpha=\"0.14\", expect_size=\"7242752\"] \n  10 -> 11 [size =\"7242752\"]\n  11 [size=\"85552640\", alpha=\"0.09\", expect_size=\"34221056\"] \n  11 -> 12 [size =\"34221056\"]\n  12 [size=\"25364480\", alpha=\"0.03\", expect_size=\"10145792\"] \n  12 -> 13 [size =\"10145792\"]\n  13 [size=\"40371200\", alpha=\"0.20\", expect_size=\"16148480\"] \n  13 -> 14 [size =\"16148480\"]\n  14 [size=\"64752640\", alpha=\"0.14\", expect_size=\"25901056\"] \n  14 -> 15 [size =\"25901056\"]\n  15 [size=\"95769600\", alpha=\"0.14\", expect_size=\"38307840\"] \n  15 -> 16 [size =\"38307840\"]\n  16 [size=\"38310400\", alpha=\"0.03\", expect_size=\"15324160\"] \n  16 -> 17 [size =\"15324160\"]\n  17 [size=\"15649280\", alpha=\"0.05\", expect_size=\"6259712\"] \n  17 -> 18 [size =\"6259712\"]\n  18 [size=\"128404480\", alpha=\"0.02\", expect_size=\"51361792\"] \n  18 -> 19 [size =\"51361792\"]\n  19 [size=\"129835520\", alpha=\"0.18\", expect_size=\"51934208\"] \n  19 -> 20 [size =\"51934208\"]\n  20 [size=\"103736320\", alpha=\"0.04\", expect_size=\"41494528\"] \n  20 -> 21 [size =\"41494528\"]\n  21 [size=\"70853120\", alpha=\"0.11\", expect_size=\"28341248\"] \n  21 -> 22 [size =\"28341248\"]\n  22 [size=\"121561600\", alpha=\"0.02\", expect_size=\"48624640\"] \n  22 -> 23 [size =\"48624640\"]\n  23 [size=\"21537280\", alpha=\"0.09\", expect_size=\"8614912\"] \n  23 -> 24 [size =\"8614912\"]\n  24 [size=\"18974720\", alpha=\"0.15\", expect_size=\"7589888\"] \n  24 -> 25 [size =\"7589888\"]\n  25 [size=\"102886400\", alpha=\"0.18\", expect_size=\"41154560\"] \n  25 -> 26 [size =\"41154560\"]\n  26 [size=\"66949120\", alpha=\"0.01\", expect_size=\"26779648\"] \n  26 -> 27 [size =\"26779648\"]\n  27 [size=\"82823680\", alpha=\"0.05\", expect_size=\"33129472\"] \n  27 -> 28 [size =\"33129472\"]\n  28 [size=\"111859200\", alpha=\"0.01\", expect_size=\"44743680\"] \n  28 -> 29 [size =\"44743680\"]\n  29 [size=\"122314240\", alpha=\"0.19\", expect_size=\"48925696\"] \n  29 -> 30 [size =\"48925696\"]\n  30 [size=\"111191040\", alpha=\"0.19\", expect_size=\"44476416\"] \n  30 -> 31 [size =\"44476416\"]\n  31 [size=\"17932800\", alpha=\"0.11\", expect_size=\"7173120\"] \n  31 -> 32 [size =\"7173120\"]\n  32 [size=\"83799040\", alpha=\"0.05\", expect_size=\"33519616\"] \n  32 -> 33 [size =\"33519616\"]\n  33 [size=\"94558720\", alpha=\"0.03\", expect_size=\"37823488\"] \n  33 -> 34 [size =\"37823488\"]\n  34 [size=\"28142080\", alpha=\"0.10\", expect_size=\"11256832\"] \n  34 -> 35 [size =\"11256832\"]\n  35 [size=\"119111680\", alpha=\"0.12\", expect_size=\"47644672\"] \n  35 -> 36 [size =\"47644672\"]\n  36 [size=\"105669120\", alpha=\"0.17\", expect_size=\"42267648\"] \n  36 -> 37 [size =\"42267648\"]\n  37 [size=\"111582720\", alpha=\"0.03\", expect_size=\"44633088\"] \n  37 -> 38 [size =\"44633088\"]\n  38 [size=\"25863680\", alpha=\"0.09\", expect_size=\"10345472\"] \n  38 -> 39 [size =\"10345472\"]\n  39 [size=\"28864000\", alpha=\"0.14\", expect_size=\"11545600\"] \n  39 -> 40 [size =\"11545600\"]\n  40 [size=\"24204800\", alpha=\"0.15\", expect_size=\"9681920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62723413\", alpha=\"0.12\", expect_size=\"18817024\"] \n  1 -> 35 [size =\"18817024\"]\n  1 -> 37 [size =\"18817024\"]\n  1 -> 39 [size =\"18817024\"]\n  2 [size=\"118784000\", alpha=\"0.05\", expect_size=\"35635200\"] \n  2 -> 38 [size =\"35635200\"]\n  3 [size=\"67822933\", alpha=\"0.06\", expect_size=\"20346880\"] \n  3 -> 32 [size =\"20346880\"]\n  3 -> 33 [size =\"20346880\"]\n  3 -> 38 [size =\"20346880\"]\n  4 [size=\"133533013\", alpha=\"0.12\", expect_size=\"40059904\"] \n  4 -> 35 [size =\"40059904\"]\n  4 -> 37 [size =\"40059904\"]\n  5 [size=\"35696640\", alpha=\"0.09\", expect_size=\"10708992\"] \n  5 -> 38 [size =\"10708992\"]\n  6 [size=\"33559893\", alpha=\"0.15\", expect_size=\"10067968\"] \n  7 [size=\"47991467\", alpha=\"0.03\", expect_size=\"14397440\"] \n  7 -> 33 [size =\"14397440\"]\n  7 -> 34 [size =\"14397440\"]\n  8 [size=\"93593600\", alpha=\"0.18\", expect_size=\"28078080\"] \n  8 -> 33 [size =\"28078080\"]\n  8 -> 38 [size =\"28078080\"]\n  9 [size=\"49653760\", alpha=\"0.17\", expect_size=\"14896128\"] \n  9 -> 32 [size =\"14896128\"]\n  9 -> 35 [size =\"14896128\"]\n  10 [size=\"137611947\", alpha=\"0.12\", expect_size=\"41283584\"] \n  10 -> 33 [size =\"41283584\"]\n  10 -> 36 [size =\"41283584\"]\n  10 -> 37 [size =\"41283584\"]\n  11 [size=\"95501653\", alpha=\"0.00\", expect_size=\"28650496\"] \n  11 -> 36 [size =\"28650496\"]\n  11 -> 38 [size =\"28650496\"]\n  12 [size=\"28781227\", alpha=\"0.15\", expect_size=\"8634368\"] \n  12 -> 38 [size =\"8634368\"]\n  13 [size=\"70137173\", alpha=\"0.19\", expect_size=\"21041152\"] \n  13 -> 36 [size =\"21041152\"]\n  13 -> 38 [size =\"21041152\"]\n  14 [size=\"114425173\", alpha=\"0.08\", expect_size=\"34327552\"] \n  14 -> 35 [size =\"34327552\"]\n  15 [size=\"53579093\", alpha=\"0.09\", expect_size=\"16073728\"] \n  15 -> 32 [size =\"16073728\"]\n  15 -> 36 [size =\"16073728\"]\n  16 [size=\"126337707\", alpha=\"0.10\", expect_size=\"37901312\"] \n  16 -> 36 [size =\"37901312\"]\n  16 -> 37 [size =\"37901312\"]\n  17 [size=\"83118080\", alpha=\"0.08\", expect_size=\"24935424\"] \n  17 -> 35 [size =\"24935424\"]\n  17 -> 38 [size =\"24935424\"]\n  17 -> 40 [size =\"24935424\"]\n  18 [size=\"106796373\", alpha=\"0.02\", expect_size=\"32038912\"] \n  18 -> 35 [size =\"32038912\"]\n  19 [size=\"92122453\", alpha=\"0.00\", expect_size=\"27636736\"] \n  19 -> 37 [size =\"27636736\"]\n  19 -> 38 [size =\"27636736\"]\n  20 [size=\"68410027\", alpha=\"0.04\", expect_size=\"20523008\"] \n  20 -> 33 [size =\"20523008\"]\n  20 -> 35 [size =\"20523008\"]\n  20 -> 37 [size =\"20523008\"]\n  21 [size=\"166430720\", alpha=\"0.14\", expect_size=\"49929216\"] \n  21 -> 35 [size =\"49929216\"]\n  21 -> 37 [size =\"49929216\"]\n  22 [size=\"167277227\", alpha=\"0.16\", expect_size=\"50183168\"] \n  22 -> 38 [size =\"50183168\"]\n  23 [size=\"125992960\", alpha=\"0.05\", expect_size=\"37797888\"] \n  23 -> 36 [size =\"37797888\"]\n  23 -> 38 [size =\"37797888\"]\n  24 [size=\"120162987\", alpha=\"0.09\", expect_size=\"36048896\"] \n  25 [size=\"26019840\", alpha=\"0.15\", expect_size=\"7805952\"] \n  25 -> 32 [size =\"7805952\"]\n  25 -> 33 [size =\"7805952\"]\n  25 -> 34 [size =\"7805952\"]\n  25 -> 38 [size =\"7805952\"]\n  26 [size=\"96201387\", alpha=\"0.03\", expect_size=\"28860416\"] \n  26 -> 34 [size =\"28860416\"]\n  26 -> 35 [size =\"28860416\"]\n  26 -> 36 [size =\"28860416\"]\n  26 -> 37 [size =\"28860416\"]\n  26 -> 38 [size =\"28860416\"]\n  27 [size=\"18176000\", alpha=\"0.15\", expect_size=\"5452800\"] \n  27 -> 35 [size =\"5452800\"]\n  27 -> 38 [size =\"5452800\"]\n  28 [size=\"81032533\", alpha=\"0.16\", expect_size=\"24309760\"] \n  28 -> 33 [size =\"24309760\"]\n  28 -> 38 [size =\"24309760\"]\n  29 [size=\"100085760\", alpha=\"0.02\", expect_size=\"30025728\"] \n  30 [size=\"102386347\", alpha=\"0.03\", expect_size=\"30715904\"] \n  30 -> 38 [size =\"30715904\"]\n  30 -> 39 [size =\"30715904\"]\n  31 [size=\"134946133\", alpha=\"0.14\", expect_size=\"40483840\"] \n  31 -> 32 [size =\"40483840\"]\n  31 -> 39 [size =\"40483840\"]\n  32 [size=\"85729280\", alpha=\"0.06\", expect_size=\"25718784\"] \n  33 [size=\"56046933\", alpha=\"0.05\", expect_size=\"16814080\"] \n  34 [size=\"96245760\", alpha=\"0.16\", expect_size=\"28873728\"] \n  35 [size=\"165096107\", alpha=\"0.12\", expect_size=\"49528832\"] \n  36 [size=\"123535360\", alpha=\"0.02\", expect_size=\"37060608\"] \n  37 [size=\"144933547\", alpha=\"0.20\", expect_size=\"43480064\"] \n  38 [size=\"102519467\", alpha=\"0.09\", expect_size=\"30755840\"] \n  39 [size=\"72407040\", alpha=\"0.08\", expect_size=\"21722112\"] \n  40 [size=\"86780587\", alpha=\"0.14\", expect_size=\"26034176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26323627\", alpha=\"0.10\", expect_size=\"7897088\"] \n  2 [size=\"165539840\", alpha=\"0.09\", expect_size=\"49661952\"] \n  3 [size=\"72540160\", alpha=\"0.08\", expect_size=\"21762048\"] \n  4 [size=\"142861653\", alpha=\"0.15\", expect_size=\"42858496\"] \n  5 [size=\"50950827\", alpha=\"0.09\", expect_size=\"15285248\"] \n  6 [size=\"146653867\", alpha=\"0.09\", expect_size=\"43996160\"] \n  7 [size=\"102976853\", alpha=\"0.10\", expect_size=\"30893056\"] \n  8 [size=\"25326933\", alpha=\"0.03\", expect_size=\"7598080\"] \n  9 [size=\"152408747\", alpha=\"0.05\", expect_size=\"45722624\"] \n  10 [size=\"100106240\", alpha=\"0.18\", expect_size=\"30031872\"] \n  11 [size=\"98338133\", alpha=\"0.06\", expect_size=\"29501440\"] \n  12 [size=\"22842027\", alpha=\"0.18\", expect_size=\"6852608\"] \n  13 [size=\"93801813\", alpha=\"0.16\", expect_size=\"28140544\"] \n  14 [size=\"155303253\", alpha=\"0.17\", expect_size=\"46590976\"] \n  15 [size=\"113858560\", alpha=\"0.19\", expect_size=\"34157568\"] \n  16 [size=\"28648107\", alpha=\"0.02\", expect_size=\"8594432\"] \n  17 [size=\"97406293\", alpha=\"0.18\", expect_size=\"29221888\"] \n  18 [size=\"18063360\", alpha=\"0.02\", expect_size=\"5419008\"] \n  19 [size=\"44830720\", alpha=\"0.05\", expect_size=\"13449216\"] \n  20 [size=\"87548587\", alpha=\"0.02\", expect_size=\"26264576\"] \n  21 [size=\"73195520\", alpha=\"0.01\", expect_size=\"21958656\"] \n  22 [size=\"120108373\", alpha=\"0.18\", expect_size=\"36032512\"] \n  23 [size=\"101225813\", alpha=\"0.03\", expect_size=\"30367744\"] \n  24 [size=\"70741333\", alpha=\"0.03\", expect_size=\"21222400\"] \n  25 [size=\"49066667\", alpha=\"0.08\", expect_size=\"14720000\"] \n  26 [size=\"41932800\", alpha=\"0.09\", expect_size=\"12579840\"] \n  27 [size=\"54155947\", alpha=\"0.01\", expect_size=\"16246784\"] \n  28 [size=\"39604907\", alpha=\"0.14\", expect_size=\"11881472\"] \n  29 [size=\"58989227\", alpha=\"0.04\", expect_size=\"17696768\"] \n  30 [size=\"96000000\", alpha=\"0.05\", expect_size=\"28800000\"] \n  31 [size=\"113749333\", alpha=\"0.16\", expect_size=\"34124800\"] \n  32 [size=\"121091413\", alpha=\"0.08\", expect_size=\"36327424\"] \n  33 [size=\"108796587\", alpha=\"0.09\", expect_size=\"32638976\"] \n  34 [size=\"131935573\", alpha=\"0.08\", expect_size=\"39580672\"] \n  35 [size=\"158614187\", alpha=\"0.19\", expect_size=\"47584256\"] \n  36 [size=\"65013760\", alpha=\"0.12\", expect_size=\"19504128\"] \n  37 [size=\"137608533\", alpha=\"0.14\", expect_size=\"41282560\"] \n  38 [size=\"147322880\", alpha=\"0.17\", expect_size=\"44196864\"] \n  39 [size=\"102017707\", alpha=\"0.03\", expect_size=\"30605312\"] \n  40 [size=\"136618667\", alpha=\"0.18\", expect_size=\"40985600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17169920\", alpha=\"0.06\", expect_size=\"6867968\"] \n  1 -> 9 [size =\"6867968\"]\n  1 -> 12 [size =\"6867968\"]\n  2 [size=\"57520640\", alpha=\"0.06\", expect_size=\"23008256\"] \n  3 [size=\"80555520\", alpha=\"0.14\", expect_size=\"32222208\"] \n  3 -> 8 [size =\"32222208\"]\n  3 -> 11 [size =\"32222208\"]\n  3 -> 13 [size =\"32222208\"]\n  4 [size=\"30458880\", alpha=\"0.17\", expect_size=\"12183552\"] \n  4 -> 8 [size =\"12183552\"]\n  5 [size=\"68459520\", alpha=\"0.19\", expect_size=\"27383808\"] \n  5 -> 7 [size =\"27383808\"]\n  6 [size=\"125406720\", alpha=\"0.16\", expect_size=\"50162688\"] \n  6 -> 7 [size =\"50162688\"]\n  6 -> 10 [size =\"50162688\"]\n  6 -> 13 [size =\"50162688\"]\n  7 [size=\"75005440\", alpha=\"0.04\", expect_size=\"30002176\"] \n  7 -> 14 [size =\"30002176\"]\n  7 -> 19 [size =\"30002176\"]\n  8 [size=\"130769920\", alpha=\"0.18\", expect_size=\"52307968\"] \n  8 -> 17 [size =\"52307968\"]\n  8 -> 19 [size =\"52307968\"]\n  8 -> 20 [size =\"52307968\"]\n  9 [size=\"116782080\", alpha=\"0.01\", expect_size=\"46712832\"] \n  9 -> 15 [size =\"46712832\"]\n  9 -> 16 [size =\"46712832\"]\n  9 -> 17 [size =\"46712832\"]\n  9 -> 18 [size =\"46712832\"]\n  10 [size=\"35197440\", alpha=\"0.05\", expect_size=\"14078976\"] \n  10 -> 14 [size =\"14078976\"]\n  10 -> 16 [size =\"14078976\"]\n  10 -> 18 [size =\"14078976\"]\n  11 [size=\"86991360\", alpha=\"0.06\", expect_size=\"34796544\"] \n  11 -> 17 [size =\"34796544\"]\n  11 -> 18 [size =\"34796544\"]\n  12 [size=\"124152320\", alpha=\"0.17\", expect_size=\"49660928\"] \n  12 -> 20 [size =\"49660928\"]\n  13 [size=\"43374080\", alpha=\"0.14\", expect_size=\"17349632\"] \n  13 -> 14 [size =\"17349632\"]\n  13 -> 18 [size =\"17349632\"]\n  13 -> 19 [size =\"17349632\"]\n  13 -> 20 [size =\"17349632\"]\n  14 [size=\"123985920\", alpha=\"0.01\", expect_size=\"49594368\"] \n  14 -> 24 [size =\"49594368\"]\n  15 [size=\"108190720\", alpha=\"0.03\", expect_size=\"43276288\"] \n  15 -> 23 [size =\"43276288\"]\n  16 [size=\"102807040\", alpha=\"0.05\", expect_size=\"41122816\"] \n  17 [size=\"81011200\", alpha=\"0.09\", expect_size=\"32404480\"] \n  18 [size=\"105669120\", alpha=\"0.01\", expect_size=\"42267648\"] \n  19 [size=\"95554560\", alpha=\"0.14\", expect_size=\"38221824\"] \n  19 -> 21 [size =\"38221824\"]\n  19 -> 23 [size =\"38221824\"]\n  19 -> 24 [size =\"38221824\"]\n  20 [size=\"104289280\", alpha=\"0.07\", expect_size=\"41715712\"] \n  20 -> 22 [size =\"41715712\"]\n  21 [size=\"15418880\", alpha=\"0.00\", expect_size=\"6167552\"] \n  21 -> 26 [size =\"6167552\"]\n  22 [size=\"51525120\", alpha=\"0.02\", expect_size=\"20610048\"] \n  22 -> 25 [size =\"20610048\"]\n  22 -> 27 [size =\"20610048\"]\n  22 -> 28 [size =\"20610048\"]\n  22 -> 29 [size =\"20610048\"]\n  23 [size=\"33118720\", alpha=\"0.14\", expect_size=\"13247488\"] \n  23 -> 25 [size =\"13247488\"]\n  23 -> 26 [size =\"13247488\"]\n  23 -> 28 [size =\"13247488\"]\n  24 [size=\"118023680\", alpha=\"0.10\", expect_size=\"47209472\"] \n  25 [size=\"122869760\", alpha=\"0.15\", expect_size=\"49147904\"] \n  25 -> 32 [size =\"49147904\"]\n  25 -> 33 [size =\"49147904\"]\n  26 [size=\"21667840\", alpha=\"0.19\", expect_size=\"8667136\"] \n  26 -> 30 [size =\"8667136\"]\n  26 -> 31 [size =\"8667136\"]\n  26 -> 32 [size =\"8667136\"]\n  27 [size=\"53235200\", alpha=\"0.13\", expect_size=\"21294080\"] \n  27 -> 30 [size =\"21294080\"]\n  27 -> 31 [size =\"21294080\"]\n  28 [size=\"103377920\", alpha=\"0.08\", expect_size=\"41351168\"] \n  28 -> 30 [size =\"41351168\"]\n  28 -> 33 [size =\"41351168\"]\n  29 [size=\"110364160\", alpha=\"0.20\", expect_size=\"44145664\"] \n  29 -> 32 [size =\"44145664\"]\n  30 [size=\"73354240\", alpha=\"0.15\", expect_size=\"29341696\"] \n  31 [size=\"112793600\", alpha=\"0.04\", expect_size=\"45117440\"] \n  31 -> 34 [size =\"45117440\"]\n  32 [size=\"114777600\", alpha=\"0.11\", expect_size=\"45911040\"] \n  32 -> 35 [size =\"45911040\"]\n  32 -> 37 [size =\"45911040\"]\n  33 [size=\"123719680\", alpha=\"0.03\", expect_size=\"49487872\"] \n  33 -> 35 [size =\"49487872\"]\n  33 -> 36 [size =\"49487872\"]\n  33 -> 37 [size =\"49487872\"]\n  34 [size=\"89108480\", alpha=\"0.14\", expect_size=\"35643392\"] \n  34 -> 38 [size =\"35643392\"]\n  34 -> 39 [size =\"35643392\"]\n  35 [size=\"28293120\", alpha=\"0.01\", expect_size=\"11317248\"] \n  35 -> 40 [size =\"11317248\"]\n  36 [size=\"114593280\", alpha=\"0.03\", expect_size=\"45837312\"] \n  36 -> 40 [size =\"45837312\"]\n  37 [size=\"106416640\", alpha=\"0.17\", expect_size=\"42566656\"] \n  37 -> 38 [size =\"42566656\"]\n  38 [size=\"65661440\", alpha=\"0.07\", expect_size=\"26264576\"] \n  39 [size=\"109992960\", alpha=\"0.10\", expect_size=\"43997184\"] \n  40 [size=\"107156480\", alpha=\"0.09\", expect_size=\"42862592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105338880\", alpha=\"0.07\", expect_size=\"42135552\"] \n  1 -> 2 [size =\"42135552\"]\n  2 [size=\"87818240\", alpha=\"0.09\", expect_size=\"35127296\"] \n  2 -> 3 [size =\"35127296\"]\n  3 [size=\"124277760\", alpha=\"0.13\", expect_size=\"49711104\"] \n  3 -> 4 [size =\"49711104\"]\n  4 [size=\"32919040\", alpha=\"0.05\", expect_size=\"13167616\"] \n  4 -> 5 [size =\"13167616\"]\n  5 [size=\"119252480\", alpha=\"0.10\", expect_size=\"47700992\"] \n  5 -> 6 [size =\"47700992\"]\n  6 [size=\"73551360\", alpha=\"0.09\", expect_size=\"29420544\"] \n  6 -> 7 [size =\"29420544\"]\n  7 [size=\"83351040\", alpha=\"0.13\", expect_size=\"33340416\"] \n  7 -> 8 [size =\"33340416\"]\n  8 [size=\"13611520\", alpha=\"0.10\", expect_size=\"5444608\"] \n  8 -> 9 [size =\"5444608\"]\n  9 [size=\"15552000\", alpha=\"0.01\", expect_size=\"6220800\"] \n  9 -> 10 [size =\"6220800\"]\n  10 [size=\"14405120\", alpha=\"0.13\", expect_size=\"5762048\"] \n  10 -> 11 [size =\"5762048\"]\n  11 [size=\"31974400\", alpha=\"0.12\", expect_size=\"12789760\"] \n  11 -> 12 [size =\"12789760\"]\n  12 [size=\"74992640\", alpha=\"0.09\", expect_size=\"29997056\"] \n  12 -> 13 [size =\"29997056\"]\n  13 [size=\"126620160\", alpha=\"0.17\", expect_size=\"50648064\"] \n  13 -> 14 [size =\"50648064\"]\n  14 [size=\"83461120\", alpha=\"0.09\", expect_size=\"33384448\"] \n  14 -> 15 [size =\"33384448\"]\n  15 [size=\"115558400\", alpha=\"0.09\", expect_size=\"46223360\"] \n  15 -> 16 [size =\"46223360\"]\n  16 [size=\"55851520\", alpha=\"0.14\", expect_size=\"22340608\"] \n  16 -> 17 [size =\"22340608\"]\n  17 [size=\"111239680\", alpha=\"0.08\", expect_size=\"44495872\"] \n  17 -> 18 [size =\"44495872\"]\n  18 [size=\"67640320\", alpha=\"0.19\", expect_size=\"27056128\"] \n  18 -> 19 [size =\"27056128\"]\n  19 [size=\"127050240\", alpha=\"0.02\", expect_size=\"50820096\"] \n  19 -> 20 [size =\"50820096\"]\n  20 [size=\"15997440\", alpha=\"0.16\", expect_size=\"6398976\"] \n  20 -> 21 [size =\"6398976\"]\n  21 [size=\"92515840\", alpha=\"0.06\", expect_size=\"37006336\"] \n  21 -> 22 [size =\"37006336\"]\n  22 [size=\"42892800\", alpha=\"0.08\", expect_size=\"17157120\"] \n  22 -> 23 [size =\"17157120\"]\n  23 [size=\"94376960\", alpha=\"0.10\", expect_size=\"37750784\"] \n  23 -> 24 [size =\"37750784\"]\n  24 [size=\"76554240\", alpha=\"0.15\", expect_size=\"30621696\"] \n  24 -> 25 [size =\"30621696\"]\n  25 [size=\"130992640\", alpha=\"0.17\", expect_size=\"52397056\"] \n  25 -> 26 [size =\"52397056\"]\n  26 [size=\"65666560\", alpha=\"0.10\", expect_size=\"26266624\"] \n  26 -> 27 [size =\"26266624\"]\n  27 [size=\"32576000\", alpha=\"0.15\", expect_size=\"13030400\"] \n  27 -> 28 [size =\"13030400\"]\n  28 [size=\"80307200\", alpha=\"0.00\", expect_size=\"32122880\"] \n  28 -> 29 [size =\"32122880\"]\n  29 [size=\"71774720\", alpha=\"0.05\", expect_size=\"28709888\"] \n  29 -> 30 [size =\"28709888\"]\n  30 [size=\"82844160\", alpha=\"0.11\", expect_size=\"33137664\"] \n  30 -> 31 [size =\"33137664\"]\n  31 [size=\"59776000\", alpha=\"0.20\", expect_size=\"23910400\"] \n  31 -> 32 [size =\"23910400\"]\n  32 [size=\"94799360\", alpha=\"0.19\", expect_size=\"37919744\"] \n  32 -> 33 [size =\"37919744\"]\n  33 [size=\"26700800\", alpha=\"0.18\", expect_size=\"10680320\"] \n  33 -> 34 [size =\"10680320\"]\n  34 [size=\"84618240\", alpha=\"0.08\", expect_size=\"33847296\"] \n  34 -> 35 [size =\"33847296\"]\n  35 [size=\"52433920\", alpha=\"0.16\", expect_size=\"20973568\"] \n  35 -> 36 [size =\"20973568\"]\n  36 [size=\"36295680\", alpha=\"0.11\", expect_size=\"14518272\"] \n  36 -> 37 [size =\"14518272\"]\n  37 [size=\"96647680\", alpha=\"0.03\", expect_size=\"38659072\"] \n  37 -> 38 [size =\"38659072\"]\n  38 [size=\"67806720\", alpha=\"0.04\", expect_size=\"27122688\"] \n  38 -> 39 [size =\"27122688\"]\n  39 [size=\"68241920\", alpha=\"0.04\", expect_size=\"27296768\"] \n  39 -> 40 [size =\"27296768\"]\n  40 [size=\"100400640\", alpha=\"0.05\", expect_size=\"40160256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31791104\", alpha=\"0.01\", expect_size=\"15895552\"] \n  2 [size=\"37296128\", alpha=\"0.16\", expect_size=\"18648064\"] \n  2 -> 5 [size =\"18648064\"]\n  3 [size=\"101672960\", alpha=\"0.15\", expect_size=\"50836480\"] \n  3 -> 4 [size =\"50836480\"]\n  3 -> 5 [size =\"50836480\"]\n  4 [size=\"95291392\", alpha=\"0.12\", expect_size=\"47645696\"] \n  4 -> 7 [size =\"47645696\"]\n  4 -> 8 [size =\"47645696\"]\n  5 [size=\"85366784\", alpha=\"0.05\", expect_size=\"42683392\"] \n  5 -> 6 [size =\"42683392\"]\n  5 -> 8 [size =\"42683392\"]\n  6 [size=\"89184256\", alpha=\"0.14\", expect_size=\"44592128\"] \n  7 [size=\"94119936\", alpha=\"0.06\", expect_size=\"47059968\"] \n  7 -> 9 [size =\"47059968\"]\n  7 -> 10 [size =\"47059968\"]\n  8 [size=\"11849728\", alpha=\"0.15\", expect_size=\"5924864\"] \n  8 -> 10 [size =\"5924864\"]\n  9 [size=\"46145536\", alpha=\"0.08\", expect_size=\"23072768\"] \n  10 [size=\"49418240\", alpha=\"0.12\", expect_size=\"24709120\"] \n  10 -> 11 [size =\"24709120\"]\n  10 -> 12 [size =\"24709120\"]\n  11 [size=\"89460736\", alpha=\"0.05\", expect_size=\"44730368\"] \n  11 -> 13 [size =\"44730368\"]\n  11 -> 14 [size =\"44730368\"]\n  12 [size=\"92354560\", alpha=\"0.02\", expect_size=\"46177280\"] \n  12 -> 13 [size =\"46177280\"]\n  12 -> 14 [size =\"46177280\"]\n  13 [size=\"72159232\", alpha=\"0.13\", expect_size=\"36079616\"] \n  13 -> 17 [size =\"36079616\"]\n  14 [size=\"49205248\", alpha=\"0.03\", expect_size=\"24602624\"] \n  14 -> 15 [size =\"24602624\"]\n  14 -> 16 [size =\"24602624\"]\n  15 [size=\"12226560\", alpha=\"0.15\", expect_size=\"6113280\"] \n  16 [size=\"36063232\", alpha=\"0.02\", expect_size=\"18031616\"] \n  17 [size=\"102103040\", alpha=\"0.18\", expect_size=\"51051520\"] \n  17 -> 18 [size =\"51051520\"]\n  17 -> 19 [size =\"51051520\"]\n  18 [size=\"38400000\", alpha=\"0.09\", expect_size=\"19200000\"] \n  18 -> 20 [size =\"19200000\"]\n  18 -> 21 [size =\"19200000\"]\n  19 [size=\"13264896\", alpha=\"0.00\", expect_size=\"6632448\"] \n  19 -> 20 [size =\"6632448\"]\n  19 -> 22 [size =\"6632448\"]\n  20 [size=\"50040832\", alpha=\"0.03\", expect_size=\"25020416\"] \n  20 -> 24 [size =\"25020416\"]\n  21 [size=\"14176256\", alpha=\"0.10\", expect_size=\"7088128\"] \n  21 -> 24 [size =\"7088128\"]\n  22 [size=\"36247552\", alpha=\"0.03\", expect_size=\"18123776\"] \n  22 -> 23 [size =\"18123776\"]\n  23 [size=\"43425792\", alpha=\"0.15\", expect_size=\"21712896\"] \n  23 -> 25 [size =\"21712896\"]\n  23 -> 26 [size =\"21712896\"]\n  24 [size=\"104732672\", alpha=\"0.06\", expect_size=\"52366336\"] \n  24 -> 25 [size =\"52366336\"]\n  24 -> 26 [size =\"52366336\"]\n  25 [size=\"22192128\", alpha=\"0.12\", expect_size=\"11096064\"] \n  25 -> 28 [size =\"11096064\"]\n  26 [size=\"94631936\", alpha=\"0.14\", expect_size=\"47315968\"] \n  26 -> 27 [size =\"47315968\"]\n  26 -> 28 [size =\"47315968\"]\n  27 [size=\"11825152\", alpha=\"0.15\", expect_size=\"5912576\"] \n  27 -> 29 [size =\"5912576\"]\n  27 -> 31 [size =\"5912576\"]\n  28 [size=\"96073728\", alpha=\"0.16\", expect_size=\"48036864\"] \n  28 -> 29 [size =\"48036864\"]\n  28 -> 30 [size =\"48036864\"]\n  29 [size=\"42506240\", alpha=\"0.04\", expect_size=\"21253120\"] \n  30 [size=\"43603968\", alpha=\"0.01\", expect_size=\"21801984\"] \n  30 -> 32 [size =\"21801984\"]\n  30 -> 33 [size =\"21801984\"]\n  31 [size=\"57513984\", alpha=\"0.14\", expect_size=\"28756992\"] \n  31 -> 33 [size =\"28756992\"]\n  32 [size=\"11171840\", alpha=\"0.05\", expect_size=\"5585920\"] \n  32 -> 35 [size =\"5585920\"]\n  32 -> 36 [size =\"5585920\"]\n  33 [size=\"25761792\", alpha=\"0.08\", expect_size=\"12880896\"] \n  33 -> 34 [size =\"12880896\"]\n  33 -> 35 [size =\"12880896\"]\n  34 [size=\"98099200\", alpha=\"0.00\", expect_size=\"49049600\"] \n  34 -> 37 [size =\"49049600\"]\n  34 -> 38 [size =\"49049600\"]\n  35 [size=\"29874176\", alpha=\"0.13\", expect_size=\"14937088\"] \n  35 -> 37 [size =\"14937088\"]\n  35 -> 38 [size =\"14937088\"]\n  36 [size=\"84715520\", alpha=\"0.10\", expect_size=\"42357760\"] \n  37 [size=\"58204160\", alpha=\"0.07\", expect_size=\"29102080\"] \n  37 -> 39 [size =\"29102080\"]\n  38 [size=\"33978368\", alpha=\"0.10\", expect_size=\"16989184\"] \n  38 -> 39 [size =\"16989184\"]\n  38 -> 40 [size =\"16989184\"]\n  39 [size=\"13402112\", alpha=\"0.14\", expect_size=\"6701056\"] \n  40 [size=\"32137216\", alpha=\"0.06\", expect_size=\"16068608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71254016\", alpha=\"0.05\", expect_size=\"35627008\"] \n  1 -> 2 [size =\"35627008\"]\n  2 [size=\"19660800\", alpha=\"0.16\", expect_size=\"9830400\"] \n  2 -> 3 [size =\"9830400\"]\n  3 [size=\"80353280\", alpha=\"0.11\", expect_size=\"40176640\"] \n  3 -> 4 [size =\"40176640\"]\n  4 [size=\"79675392\", alpha=\"0.20\", expect_size=\"39837696\"] \n  4 -> 5 [size =\"39837696\"]\n  5 [size=\"74184704\", alpha=\"0.04\", expect_size=\"37092352\"] \n  5 -> 6 [size =\"37092352\"]\n  6 [size=\"76300288\", alpha=\"0.20\", expect_size=\"38150144\"] \n  6 -> 7 [size =\"38150144\"]\n  7 [size=\"15394816\", alpha=\"0.18\", expect_size=\"7697408\"] \n  7 -> 8 [size =\"7697408\"]\n  8 [size=\"96573440\", alpha=\"0.14\", expect_size=\"48286720\"] \n  8 -> 9 [size =\"48286720\"]\n  9 [size=\"18796544\", alpha=\"0.08\", expect_size=\"9398272\"] \n  9 -> 10 [size =\"9398272\"]\n  10 [size=\"68823040\", alpha=\"0.16\", expect_size=\"34411520\"] \n  10 -> 11 [size =\"34411520\"]\n  11 [size=\"12920832\", alpha=\"0.02\", expect_size=\"6460416\"] \n  11 -> 12 [size =\"6460416\"]\n  12 [size=\"38187008\", alpha=\"0.01\", expect_size=\"19093504\"] \n  12 -> 13 [size =\"19093504\"]\n  13 [size=\"19671040\", alpha=\"0.05\", expect_size=\"9835520\"] \n  13 -> 14 [size =\"9835520\"]\n  14 [size=\"71952384\", alpha=\"0.06\", expect_size=\"35976192\"] \n  14 -> 15 [size =\"35976192\"]\n  15 [size=\"69894144\", alpha=\"0.11\", expect_size=\"34947072\"] \n  15 -> 16 [size =\"34947072\"]\n  16 [size=\"87021568\", alpha=\"0.10\", expect_size=\"43510784\"] \n  16 -> 17 [size =\"43510784\"]\n  17 [size=\"86427648\", alpha=\"0.15\", expect_size=\"43213824\"] \n  17 -> 18 [size =\"43213824\"]\n  18 [size=\"77746176\", alpha=\"0.03\", expect_size=\"38873088\"] \n  18 -> 19 [size =\"38873088\"]\n  19 [size=\"48283648\", alpha=\"0.05\", expect_size=\"24141824\"] \n  19 -> 20 [size =\"24141824\"]\n  20 [size=\"84764672\", alpha=\"0.19\", expect_size=\"42382336\"] \n  20 -> 21 [size =\"42382336\"]\n  21 [size=\"66058240\", alpha=\"0.05\", expect_size=\"33029120\"] \n  21 -> 22 [size =\"33029120\"]\n  22 [size=\"75223040\", alpha=\"0.14\", expect_size=\"37611520\"] \n  22 -> 23 [size =\"37611520\"]\n  23 [size=\"77842432\", alpha=\"0.17\", expect_size=\"38921216\"] \n  23 -> 24 [size =\"38921216\"]\n  24 [size=\"100704256\", alpha=\"0.15\", expect_size=\"50352128\"] \n  24 -> 25 [size =\"50352128\"]\n  25 [size=\"35252224\", alpha=\"0.06\", expect_size=\"17626112\"] \n  25 -> 26 [size =\"17626112\"]\n  26 [size=\"87756800\", alpha=\"0.12\", expect_size=\"43878400\"] \n  26 -> 27 [size =\"43878400\"]\n  27 [size=\"41906176\", alpha=\"0.18\", expect_size=\"20953088\"] \n  27 -> 28 [size =\"20953088\"]\n  28 [size=\"18855936\", alpha=\"0.03\", expect_size=\"9427968\"] \n  28 -> 29 [size =\"9427968\"]\n  29 [size=\"32053248\", alpha=\"0.09\", expect_size=\"16026624\"] \n  29 -> 30 [size =\"16026624\"]\n  30 [size=\"55717888\", alpha=\"0.08\", expect_size=\"27858944\"] \n  30 -> 31 [size =\"27858944\"]\n  31 [size=\"49309696\", alpha=\"0.07\", expect_size=\"24654848\"] \n  31 -> 32 [size =\"24654848\"]\n  32 [size=\"73596928\", alpha=\"0.12\", expect_size=\"36798464\"] \n  32 -> 33 [size =\"36798464\"]\n  33 [size=\"43384832\", alpha=\"0.19\", expect_size=\"21692416\"] \n  33 -> 34 [size =\"21692416\"]\n  34 [size=\"28538880\", alpha=\"0.20\", expect_size=\"14269440\"] \n  34 -> 35 [size =\"14269440\"]\n  35 [size=\"98250752\", alpha=\"0.12\", expect_size=\"49125376\"] \n  35 -> 36 [size =\"49125376\"]\n  36 [size=\"33107968\", alpha=\"0.01\", expect_size=\"16553984\"] \n  36 -> 37 [size =\"16553984\"]\n  37 [size=\"87668736\", alpha=\"0.06\", expect_size=\"43834368\"] \n  37 -> 38 [size =\"43834368\"]\n  38 [size=\"78102528\", alpha=\"0.06\", expect_size=\"39051264\"] \n  38 -> 39 [size =\"39051264\"]\n  39 [size=\"90494976\", alpha=\"0.13\", expect_size=\"45247488\"] \n  39 -> 40 [size =\"45247488\"]\n  40 [size=\"38789120\", alpha=\"0.16\", expect_size=\"19394560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97111040\", alpha=\"0.12\", expect_size=\"38844416\"] \n  1 -> 5 [size =\"38844416\"]\n  2 [size=\"20546560\", alpha=\"0.12\", expect_size=\"8218624\"] \n  2 -> 5 [size =\"8218624\"]\n  2 -> 6 [size =\"8218624\"]\n  3 [size=\"28751360\", alpha=\"0.19\", expect_size=\"11500544\"] \n  3 -> 7 [size =\"11500544\"]\n  4 [size=\"14860800\", alpha=\"0.13\", expect_size=\"5944320\"] \n  5 [size=\"97761280\", alpha=\"0.02\", expect_size=\"39104512\"] \n  5 -> 8 [size =\"39104512\"]\n  6 [size=\"89886720\", alpha=\"0.12\", expect_size=\"35954688\"] \n  6 -> 8 [size =\"35954688\"]\n  6 -> 9 [size =\"35954688\"]\n  7 [size=\"95772160\", alpha=\"0.07\", expect_size=\"38308864\"] \n  8 [size=\"60101120\", alpha=\"0.16\", expect_size=\"24040448\"] \n  8 -> 10 [size =\"24040448\"]\n  9 [size=\"31585280\", alpha=\"0.16\", expect_size=\"12634112\"] \n  10 [size=\"66621440\", alpha=\"0.06\", expect_size=\"26648576\"] \n  10 -> 11 [size =\"26648576\"]\n  10 -> 12 [size =\"26648576\"]\n  11 [size=\"95329280\", alpha=\"0.05\", expect_size=\"38131712\"] \n  12 [size=\"47022080\", alpha=\"0.06\", expect_size=\"18808832\"] \n  12 -> 13 [size =\"18808832\"]\n  12 -> 14 [size =\"18808832\"]\n  12 -> 15 [size =\"18808832\"]\n  13 [size=\"115187200\", alpha=\"0.15\", expect_size=\"46074880\"] \n  13 -> 17 [size =\"46074880\"]\n  13 -> 18 [size =\"46074880\"]\n  14 [size=\"109411840\", alpha=\"0.02\", expect_size=\"43764736\"] \n  14 -> 17 [size =\"43764736\"]\n  15 [size=\"67399680\", alpha=\"0.02\", expect_size=\"26959872\"] \n  15 -> 16 [size =\"26959872\"]\n  16 [size=\"81689600\", alpha=\"0.15\", expect_size=\"32675840\"] \n  17 [size=\"34736640\", alpha=\"0.15\", expect_size=\"13894656\"] \n  17 -> 19 [size =\"13894656\"]\n  17 -> 21 [size =\"13894656\"]\n  18 [size=\"74728960\", alpha=\"0.05\", expect_size=\"29891584\"] \n  18 -> 20 [size =\"29891584\"]\n  19 [size=\"49999360\", alpha=\"0.14\", expect_size=\"19999744\"] \n  19 -> 22 [size =\"19999744\"]\n  19 -> 23 [size =\"19999744\"]\n  20 [size=\"28180480\", alpha=\"0.14\", expect_size=\"11272192\"] \n  20 -> 22 [size =\"11272192\"]\n  21 [size=\"65282560\", alpha=\"0.10\", expect_size=\"26113024\"] \n  21 -> 23 [size =\"26113024\"]\n  22 [size=\"96593920\", alpha=\"0.06\", expect_size=\"38637568\"] \n  22 -> 25 [size =\"38637568\"]\n  22 -> 26 [size =\"38637568\"]\n  23 [size=\"15365120\", alpha=\"0.05\", expect_size=\"6146048\"] \n  23 -> 24 [size =\"6146048\"]\n  24 [size=\"102604800\", alpha=\"0.04\", expect_size=\"41041920\"] \n  24 -> 27 [size =\"41041920\"]\n  25 [size=\"114920960\", alpha=\"0.18\", expect_size=\"45968384\"] \n  25 -> 28 [size =\"45968384\"]\n  25 -> 30 [size =\"45968384\"]\n  26 [size=\"124700160\", alpha=\"0.05\", expect_size=\"49880064\"] \n  26 -> 29 [size =\"49880064\"]\n  27 [size=\"96256000\", alpha=\"0.05\", expect_size=\"38502400\"] \n  28 [size=\"65876480\", alpha=\"0.14\", expect_size=\"26350592\"] \n  28 -> 31 [size =\"26350592\"]\n  29 [size=\"93232640\", alpha=\"0.06\", expect_size=\"37293056\"] \n  30 [size=\"55137280\", alpha=\"0.07\", expect_size=\"22054912\"] \n  31 [size=\"22302720\", alpha=\"0.02\", expect_size=\"8921088\"] \n  31 -> 32 [size =\"8921088\"]\n  31 -> 33 [size =\"8921088\"]\n  32 [size=\"78730240\", alpha=\"0.02\", expect_size=\"31492096\"] \n  32 -> 34 [size =\"31492096\"]\n  32 -> 36 [size =\"31492096\"]\n  33 [size=\"113896960\", alpha=\"0.00\", expect_size=\"45558784\"] \n  33 -> 35 [size =\"45558784\"]\n  34 [size=\"25482240\", alpha=\"0.15\", expect_size=\"10192896\"] \n  35 [size=\"51174400\", alpha=\"0.18\", expect_size=\"20469760\"] \n  35 -> 38 [size =\"20469760\"]\n  36 [size=\"39692800\", alpha=\"0.13\", expect_size=\"15877120\"] \n  36 -> 37 [size =\"15877120\"]\n  37 [size=\"67822080\", alpha=\"0.12\", expect_size=\"27128832\"] \n  38 [size=\"100262400\", alpha=\"0.01\", expect_size=\"40104960\"] \n  38 -> 39 [size =\"40104960\"]\n  38 -> 40 [size =\"40104960\"]\n  39 [size=\"66040320\", alpha=\"0.16\", expect_size=\"26416128\"] \n  40 [size=\"101606400\", alpha=\"0.14\", expect_size=\"40642560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49687040\", alpha=\"0.05\", expect_size=\"19874816\"] \n  1 -> 6 [size =\"19874816\"]\n  1 -> 7 [size =\"19874816\"]\n  1 -> 8 [size =\"19874816\"]\n  1 -> 9 [size =\"19874816\"]\n  1 -> 10 [size =\"19874816\"]\n  2 [size=\"60707840\", alpha=\"0.05\", expect_size=\"24283136\"] \n  2 -> 6 [size =\"24283136\"]\n  2 -> 8 [size =\"24283136\"]\n  2 -> 8 [size =\"24283136\"]\n  2 -> 10 [size =\"24283136\"]\n  3 [size=\"41955840\", alpha=\"0.11\", expect_size=\"16782336\"] \n  3 -> 6 [size =\"16782336\"]\n  3 -> 9 [size =\"16782336\"]\n  3 -> 11 [size =\"16782336\"]\n  4 [size=\"31303680\", alpha=\"0.08\", expect_size=\"12521472\"] \n  4 -> 10 [size =\"12521472\"]\n  5 [size=\"93611520\", alpha=\"0.01\", expect_size=\"37444608\"] \n  5 -> 8 [size =\"37444608\"]\n  5 -> 9 [size =\"37444608\"]\n  5 -> 11 [size =\"37444608\"]\n  6 [size=\"25233920\", alpha=\"0.20\", expect_size=\"10093568\"] \n  6 -> 13 [size =\"10093568\"]\n  6 -> 17 [size =\"10093568\"]\n  7 [size=\"34444800\", alpha=\"0.05\", expect_size=\"13777920\"] \n  7 -> 13 [size =\"13777920\"]\n  7 -> 16 [size =\"13777920\"]\n  7 -> 17 [size =\"13777920\"]\n  8 [size=\"70530560\", alpha=\"0.12\", expect_size=\"28212224\"] \n  8 -> 12 [size =\"28212224\"]\n  8 -> 15 [size =\"28212224\"]\n  9 [size=\"79941120\", alpha=\"0.11\", expect_size=\"31976448\"] \n  9 -> 13 [size =\"31976448\"]\n  9 -> 14 [size =\"31976448\"]\n  10 [size=\"48071680\", alpha=\"0.07\", expect_size=\"19228672\"] \n  10 -> 15 [size =\"19228672\"]\n  11 [size=\"115543040\", alpha=\"0.07\", expect_size=\"46217216\"] \n  11 -> 13 [size =\"46217216\"]\n  12 [size=\"27133440\", alpha=\"0.01\", expect_size=\"10853376\"] \n  12 -> 18 [size =\"10853376\"]\n  12 -> 21 [size =\"10853376\"]\n  12 -> 22 [size =\"10853376\"]\n  13 [size=\"58406400\", alpha=\"0.01\", expect_size=\"23362560\"] \n  13 -> 18 [size =\"23362560\"]\n  13 -> 22 [size =\"23362560\"]\n  13 -> 23 [size =\"23362560\"]\n  14 [size=\"126041600\", alpha=\"0.07\", expect_size=\"50416640\"] \n  14 -> 18 [size =\"50416640\"]\n  14 -> 19 [size =\"50416640\"]\n  14 -> 22 [size =\"50416640\"]\n  15 [size=\"54364160\", alpha=\"0.18\", expect_size=\"21745664\"] \n  15 -> 18 [size =\"21745664\"]\n  15 -> 19 [size =\"21745664\"]\n  15 -> 20 [size =\"21745664\"]\n  15 -> 21 [size =\"21745664\"]\n  16 [size=\"62126080\", alpha=\"0.07\", expect_size=\"24850432\"] \n  16 -> 19 [size =\"24850432\"]\n  16 -> 21 [size =\"24850432\"]\n  17 [size=\"62113280\", alpha=\"0.02\", expect_size=\"24845312\"] \n  17 -> 20 [size =\"24845312\"]\n  18 [size=\"93614080\", alpha=\"0.13\", expect_size=\"37445632\"] \n  18 -> 25 [size =\"37445632\"]\n  18 -> 27 [size =\"37445632\"]\n  18 -> 28 [size =\"37445632\"]\n  18 -> 29 [size =\"37445632\"]\n  19 [size=\"48453120\", alpha=\"0.18\", expect_size=\"19381248\"] \n  19 -> 29 [size =\"19381248\"]\n  20 [size=\"112394240\", alpha=\"0.19\", expect_size=\"44957696\"] \n  20 -> 24 [size =\"44957696\"]\n  20 -> 25 [size =\"44957696\"]\n  20 -> 26 [size =\"44957696\"]\n  21 [size=\"34823680\", alpha=\"0.06\", expect_size=\"13929472\"] \n  21 -> 25 [size =\"13929472\"]\n  21 -> 29 [size =\"13929472\"]\n  22 [size=\"74455040\", alpha=\"0.01\", expect_size=\"29782016\"] \n  22 -> 26 [size =\"29782016\"]\n  22 -> 29 [size =\"29782016\"]\n  23 [size=\"77470720\", alpha=\"0.01\", expect_size=\"30988288\"] \n  23 -> 25 [size =\"30988288\"]\n  23 -> 26 [size =\"30988288\"]\n  24 [size=\"83527680\", alpha=\"0.04\", expect_size=\"33411072\"] \n  24 -> 32 [size =\"33411072\"]\n  25 [size=\"123340800\", alpha=\"0.01\", expect_size=\"49336320\"] \n  25 -> 30 [size =\"49336320\"]\n  25 -> 31 [size =\"49336320\"]\n  25 -> 35 [size =\"49336320\"]\n  26 [size=\"113297920\", alpha=\"0.20\", expect_size=\"45319168\"] \n  26 -> 30 [size =\"45319168\"]\n  26 -> 32 [size =\"45319168\"]\n  26 -> 34 [size =\"45319168\"]\n  26 -> 35 [size =\"45319168\"]\n  27 [size=\"38996480\", alpha=\"0.02\", expect_size=\"15598592\"] \n  27 -> 30 [size =\"15598592\"]\n  27 -> 32 [size =\"15598592\"]\n  28 [size=\"52341760\", alpha=\"0.14\", expect_size=\"20936704\"] \n  28 -> 30 [size =\"20936704\"]\n  28 -> 32 [size =\"20936704\"]\n  28 -> 33 [size =\"20936704\"]\n  28 -> 35 [size =\"20936704\"]\n  29 [size=\"13201920\", alpha=\"0.17\", expect_size=\"5280768\"] \n  29 -> 30 [size =\"5280768\"]\n  30 [size=\"121402880\", alpha=\"0.07\", expect_size=\"48561152\"] \n  30 -> 37 [size =\"48561152\"]\n  31 [size=\"116224000\", alpha=\"0.13\", expect_size=\"46489600\"] \n  31 -> 37 [size =\"46489600\"]\n  31 -> 40 [size =\"46489600\"]\n  32 [size=\"34250240\", alpha=\"0.03\", expect_size=\"13700096\"] \n  32 -> 36 [size =\"13700096\"]\n  32 -> 38 [size =\"13700096\"]\n  32 -> 39 [size =\"13700096\"]\n  32 -> 40 [size =\"13700096\"]\n  33 [size=\"41044480\", alpha=\"0.19\", expect_size=\"16417792\"] \n  33 -> 36 [size =\"16417792\"]\n  33 -> 40 [size =\"16417792\"]\n  34 [size=\"47495680\", alpha=\"0.15\", expect_size=\"18998272\"] \n  34 -> 37 [size =\"18998272\"]\n  34 -> 39 [size =\"18998272\"]\n  34 -> 40 [size =\"18998272\"]\n  35 [size=\"71800320\", alpha=\"0.18\", expect_size=\"28720128\"] \n  35 -> 37 [size =\"28720128\"]\n  36 [size=\"76497920\", alpha=\"0.09\", expect_size=\"30599168\"] \n  37 [size=\"73720320\", alpha=\"0.09\", expect_size=\"29488128\"] \n  38 [size=\"84800000\", alpha=\"0.02\", expect_size=\"33920000\"] \n  39 [size=\"49200640\", alpha=\"0.01\", expect_size=\"19680256\"] \n  40 [size=\"33758720\", alpha=\"0.17\", expect_size=\"13503488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66713600\", alpha=\"0.08\", expect_size=\"33356800\"] \n  1 -> 7 [size =\"33356800\"]\n  1 -> 8 [size =\"33356800\"]\n  1 -> 9 [size =\"33356800\"]\n  1 -> 10 [size =\"33356800\"]\n  1 -> 11 [size =\"33356800\"]\n  2 [size=\"57976832\", alpha=\"0.07\", expect_size=\"28988416\"] \n  2 -> 6 [size =\"28988416\"]\n  2 -> 7 [size =\"28988416\"]\n  2 -> 9 [size =\"28988416\"]\n  2 -> 11 [size =\"28988416\"]\n  3 [size=\"57397248\", alpha=\"0.00\", expect_size=\"28698624\"] \n  4 [size=\"86059008\", alpha=\"0.20\", expect_size=\"43029504\"] \n  4 -> 7 [size =\"43029504\"]\n  4 -> 9 [size =\"43029504\"]\n  4 -> 10 [size =\"43029504\"]\n  5 [size=\"77105152\", alpha=\"0.10\", expect_size=\"38552576\"] \n  5 -> 11 [size =\"38552576\"]\n  6 [size=\"74524672\", alpha=\"0.02\", expect_size=\"37262336\"] \n  6 -> 12 [size =\"37262336\"]\n  6 -> 13 [size =\"37262336\"]\n  6 -> 15 [size =\"37262336\"]\n  7 [size=\"70920192\", alpha=\"0.13\", expect_size=\"35460096\"] \n  7 -> 12 [size =\"35460096\"]\n  8 [size=\"25286656\", alpha=\"0.19\", expect_size=\"12643328\"] \n  8 -> 13 [size =\"12643328\"]\n  8 -> 14 [size =\"12643328\"]\n  9 [size=\"73936896\", alpha=\"0.06\", expect_size=\"36968448\"] \n  10 [size=\"88330240\", alpha=\"0.12\", expect_size=\"44165120\"] \n  10 -> 12 [size =\"44165120\"]\n  10 -> 13 [size =\"44165120\"]\n  11 [size=\"78297088\", alpha=\"0.20\", expect_size=\"39148544\"] \n  11 -> 12 [size =\"39148544\"]\n  11 -> 13 [size =\"39148544\"]\n  11 -> 15 [size =\"39148544\"]\n  12 [size=\"23060480\", alpha=\"0.01\", expect_size=\"11530240\"] \n  12 -> 17 [size =\"11530240\"]\n  12 -> 19 [size =\"11530240\"]\n  12 -> 20 [size =\"11530240\"]\n  13 [size=\"55029760\", alpha=\"0.11\", expect_size=\"27514880\"] \n  13 -> 18 [size =\"27514880\"]\n  14 [size=\"55615488\", alpha=\"0.16\", expect_size=\"27807744\"] \n  14 -> 17 [size =\"27807744\"]\n  14 -> 18 [size =\"27807744\"]\n  14 -> 19 [size =\"27807744\"]\n  15 [size=\"54910976\", alpha=\"0.09\", expect_size=\"27455488\"] \n  15 -> 16 [size =\"27455488\"]\n  15 -> 19 [size =\"27455488\"]\n  15 -> 20 [size =\"27455488\"]\n  16 [size=\"101341184\", alpha=\"0.18\", expect_size=\"50670592\"] \n  16 -> 21 [size =\"50670592\"]\n  16 -> 22 [size =\"50670592\"]\n  16 -> 23 [size =\"50670592\"]\n  17 [size=\"18249728\", alpha=\"0.00\", expect_size=\"9124864\"] \n  17 -> 22 [size =\"9124864\"]\n  17 -> 23 [size =\"9124864\"]\n  18 [size=\"79364096\", alpha=\"0.17\", expect_size=\"39682048\"] \n  18 -> 21 [size =\"39682048\"]\n  18 -> 22 [size =\"39682048\"]\n  18 -> 23 [size =\"39682048\"]\n  19 [size=\"73592832\", alpha=\"0.13\", expect_size=\"36796416\"] \n  19 -> 21 [size =\"36796416\"]\n  19 -> 24 [size =\"36796416\"]\n  20 [size=\"102135808\", alpha=\"0.05\", expect_size=\"51067904\"] \n  20 -> 24 [size =\"51067904\"]\n  20 -> 24 [size =\"51067904\"]\n  21 [size=\"63315968\", alpha=\"0.08\", expect_size=\"31657984\"] \n  21 -> 29 [size =\"31657984\"]\n  22 [size=\"63229952\", alpha=\"0.02\", expect_size=\"31614976\"] \n  22 -> 25 [size =\"31614976\"]\n  22 -> 27 [size =\"31614976\"]\n  22 -> 29 [size =\"31614976\"]\n  22 -> 30 [size =\"31614976\"]\n  23 [size=\"68456448\", alpha=\"0.05\", expect_size=\"34228224\"] \n  23 -> 25 [size =\"34228224\"]\n  23 -> 26 [size =\"34228224\"]\n  23 -> 27 [size =\"34228224\"]\n  23 -> 28 [size =\"34228224\"]\n  23 -> 29 [size =\"34228224\"]\n  24 [size=\"24506368\", alpha=\"0.05\", expect_size=\"12253184\"] \n  24 -> 26 [size =\"12253184\"]\n  25 [size=\"99686400\", alpha=\"0.18\", expect_size=\"49843200\"] \n  26 [size=\"47898624\", alpha=\"0.05\", expect_size=\"23949312\"] \n  26 -> 32 [size =\"23949312\"]\n  26 -> 33 [size =\"23949312\"]\n  26 -> 35 [size =\"23949312\"]\n  27 [size=\"37218304\", alpha=\"0.05\", expect_size=\"18609152\"] \n  27 -> 31 [size =\"18609152\"]\n  27 -> 32 [size =\"18609152\"]\n  27 -> 34 [size =\"18609152\"]\n  28 [size=\"38809600\", alpha=\"0.08\", expect_size=\"19404800\"] \n  28 -> 32 [size =\"19404800\"]\n  29 [size=\"23019520\", alpha=\"0.05\", expect_size=\"11509760\"] \n  29 -> 33 [size =\"11509760\"]\n  29 -> 35 [size =\"11509760\"]\n  30 [size=\"86468608\", alpha=\"0.18\", expect_size=\"43234304\"] \n  30 -> 32 [size =\"43234304\"]\n  30 -> 33 [size =\"43234304\"]\n  31 [size=\"15362048\", alpha=\"0.05\", expect_size=\"7681024\"] \n  32 [size=\"54675456\", alpha=\"0.15\", expect_size=\"27337728\"] \n  32 -> 37 [size =\"27337728\"]\n  32 -> 38 [size =\"27337728\"]\n  32 -> 39 [size =\"27337728\"]\n  33 [size=\"63154176\", alpha=\"0.15\", expect_size=\"31577088\"] \n  33 -> 36 [size =\"31577088\"]\n  33 -> 38 [size =\"31577088\"]\n  33 -> 39 [size =\"31577088\"]\n  33 -> 40 [size =\"31577088\"]\n  34 [size=\"87711744\", alpha=\"0.04\", expect_size=\"43855872\"] \n  34 -> 39 [size =\"43855872\"]\n  35 [size=\"15179776\", alpha=\"0.02\", expect_size=\"7589888\"] \n  35 -> 36 [size =\"7589888\"]\n  36 [size=\"100925440\", alpha=\"0.20\", expect_size=\"50462720\"] \n  37 [size=\"31498240\", alpha=\"0.19\", expect_size=\"15749120\"] \n  38 [size=\"56080384\", alpha=\"0.13\", expect_size=\"28040192\"] \n  39 [size=\"95098880\", alpha=\"0.01\", expect_size=\"47549440\"] \n  40 [size=\"23265280\", alpha=\"0.07\", expect_size=\"11632640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96931840\", alpha=\"0.14\", expect_size=\"29079552\"] \n  1 -> 15 [size =\"29079552\"]\n  1 -> 20 [size =\"29079552\"]\n  1 -> 22 [size =\"29079552\"]\n  1 -> 29 [size =\"29079552\"]\n  2 [size=\"97672533\", alpha=\"0.14\", expect_size=\"29301760\"] \n  2 -> 20 [size =\"29301760\"]\n  2 -> 22 [size =\"29301760\"]\n  2 -> 23 [size =\"29301760\"]\n  2 -> 28 [size =\"29301760\"]\n  2 -> 29 [size =\"29301760\"]\n  2 -> 30 [size =\"29301760\"]\n  3 [size=\"30334293\", alpha=\"0.17\", expect_size=\"9100288\"] \n  3 -> 14 [size =\"9100288\"]\n  3 -> 16 [size =\"9100288\"]\n  3 -> 17 [size =\"9100288\"]\n  3 -> 20 [size =\"9100288\"]\n  3 -> 22 [size =\"9100288\"]\n  3 -> 23 [size =\"9100288\"]\n  3 -> 30 [size =\"9100288\"]\n  4 [size=\"74304853\", alpha=\"0.20\", expect_size=\"22291456\"] \n  4 -> 14 [size =\"22291456\"]\n  4 -> 17 [size =\"22291456\"]\n  4 -> 19 [size =\"22291456\"]\n  4 -> 20 [size =\"22291456\"]\n  4 -> 21 [size =\"22291456\"]\n  4 -> 22 [size =\"22291456\"]\n  4 -> 28 [size =\"22291456\"]\n  5 [size=\"80547840\", alpha=\"0.07\", expect_size=\"24164352\"] \n  5 -> 17 [size =\"24164352\"]\n  5 -> 19 [size =\"24164352\"]\n  6 [size=\"41431040\", alpha=\"0.17\", expect_size=\"12429312\"] \n  6 -> 15 [size =\"12429312\"]\n  6 -> 20 [size =\"12429312\"]\n  6 -> 24 [size =\"12429312\"]\n  6 -> 25 [size =\"12429312\"]\n  6 -> 26 [size =\"12429312\"]\n  6 -> 29 [size =\"12429312\"]\n  7 [size=\"138161493\", alpha=\"0.18\", expect_size=\"41448448\"] \n  7 -> 14 [size =\"41448448\"]\n  7 -> 23 [size =\"41448448\"]\n  7 -> 25 [size =\"41448448\"]\n  7 -> 26 [size =\"41448448\"]\n  7 -> 27 [size =\"41448448\"]\n  7 -> 28 [size =\"41448448\"]\n  7 -> 29 [size =\"41448448\"]\n  7 -> 30 [size =\"41448448\"]\n  8 [size=\"80366933\", alpha=\"0.11\", expect_size=\"24110080\"] \n  8 -> 15 [size =\"24110080\"]\n  8 -> 21 [size =\"24110080\"]\n  8 -> 25 [size =\"24110080\"]\n  8 -> 28 [size =\"24110080\"]\n  9 [size=\"100369067\", alpha=\"0.16\", expect_size=\"30110720\"] \n  9 -> 18 [size =\"30110720\"]\n  9 -> 21 [size =\"30110720\"]\n  9 -> 22 [size =\"30110720\"]\n  9 -> 23 [size =\"30110720\"]\n  9 -> 26 [size =\"30110720\"]\n  10 [size=\"26115413\", alpha=\"0.13\", expect_size=\"7834624\"] \n  10 -> 14 [size =\"7834624\"]\n  10 -> 21 [size =\"7834624\"]\n  10 -> 26 [size =\"7834624\"]\n  11 [size=\"125245440\", alpha=\"0.13\", expect_size=\"37573632\"] \n  11 -> 14 [size =\"37573632\"]\n  11 -> 15 [size =\"37573632\"]\n  11 -> 21 [size =\"37573632\"]\n  11 -> 22 [size =\"37573632\"]\n  11 -> 23 [size =\"37573632\"]\n  11 -> 30 [size =\"37573632\"]\n  12 [size=\"74526720\", alpha=\"0.13\", expect_size=\"22358016\"] \n  12 -> 14 [size =\"22358016\"]\n  12 -> 15 [size =\"22358016\"]\n  12 -> 20 [size =\"22358016\"]\n  12 -> 21 [size =\"22358016\"]\n  12 -> 23 [size =\"22358016\"]\n  12 -> 30 [size =\"22358016\"]\n  13 [size=\"28651520\", alpha=\"0.11\", expect_size=\"8595456\"] \n  13 -> 15 [size =\"8595456\"]\n  13 -> 18 [size =\"8595456\"]\n  13 -> 20 [size =\"8595456\"]\n  13 -> 21 [size =\"8595456\"]\n  13 -> 22 [size =\"8595456\"]\n  13 -> 30 [size =\"8595456\"]\n  14 [size=\"159010133\", alpha=\"0.00\", expect_size=\"47703040\"] \n  14 -> 31 [size =\"47703040\"]\n  15 [size=\"156235093\", alpha=\"0.18\", expect_size=\"46870528\"] \n  15 -> 32 [size =\"46870528\"]\n  15 -> 35 [size =\"46870528\"]\n  15 -> 36 [size =\"46870528\"]\n  16 [size=\"51121493\", alpha=\"0.14\", expect_size=\"15336448\"] \n  16 -> 32 [size =\"15336448\"]\n  16 -> 35 [size =\"15336448\"]\n  16 -> 36 [size =\"15336448\"]\n  17 [size=\"28061013\", alpha=\"0.12\", expect_size=\"8418304\"] \n  17 -> 36 [size =\"8418304\"]\n  17 -> 38 [size =\"8418304\"]\n  17 -> 40 [size =\"8418304\"]\n  18 [size=\"173393920\", alpha=\"0.14\", expect_size=\"52018176\"] \n  18 -> 31 [size =\"52018176\"]\n  18 -> 34 [size =\"52018176\"]\n  18 -> 36 [size =\"52018176\"]\n  18 -> 38 [size =\"52018176\"]\n  19 [size=\"104751787\", alpha=\"0.01\", expect_size=\"31425536\"] \n  19 -> 31 [size =\"31425536\"]\n  19 -> 34 [size =\"31425536\"]\n  19 -> 38 [size =\"31425536\"]\n  19 -> 40 [size =\"31425536\"]\n  20 [size=\"71529813\", alpha=\"0.17\", expect_size=\"21458944\"] \n  20 -> 31 [size =\"21458944\"]\n  20 -> 35 [size =\"21458944\"]\n  20 -> 38 [size =\"21458944\"]\n  21 [size=\"170806613\", alpha=\"0.05\", expect_size=\"51241984\"] \n  21 -> 32 [size =\"51241984\"]\n  21 -> 34 [size =\"51241984\"]\n  21 -> 37 [size =\"51241984\"]\n  21 -> 38 [size =\"51241984\"]\n  22 [size=\"116169387\", alpha=\"0.02\", expect_size=\"34850816\"] \n  22 -> 31 [size =\"34850816\"]\n  22 -> 32 [size =\"34850816\"]\n  22 -> 34 [size =\"34850816\"]\n  22 -> 36 [size =\"34850816\"]\n  22 -> 38 [size =\"34850816\"]\n  23 [size=\"59146240\", alpha=\"0.01\", expect_size=\"17743872\"] \n  23 -> 32 [size =\"17743872\"]\n  23 -> 36 [size =\"17743872\"]\n  24 [size=\"149176320\", alpha=\"0.07\", expect_size=\"44752896\"] \n  24 -> 32 [size =\"44752896\"]\n  24 -> 34 [size =\"44752896\"]\n  24 -> 36 [size =\"44752896\"]\n  24 -> 38 [size =\"44752896\"]\n  25 [size=\"151746560\", alpha=\"0.01\", expect_size=\"45523968\"] \n  25 -> 31 [size =\"45523968\"]\n  25 -> 32 [size =\"45523968\"]\n  25 -> 37 [size =\"45523968\"]\n  25 -> 39 [size =\"45523968\"]\n  26 [size=\"134106453\", alpha=\"0.18\", expect_size=\"40231936\"] \n  26 -> 32 [size =\"40231936\"]\n  27 [size=\"87968427\", alpha=\"0.11\", expect_size=\"26390528\"] \n  27 -> 31 [size =\"26390528\"]\n  27 -> 32 [size =\"26390528\"]\n  27 -> 35 [size =\"26390528\"]\n  28 [size=\"26234880\", alpha=\"0.11\", expect_size=\"7870464\"] \n  28 -> 32 [size =\"7870464\"]\n  28 -> 35 [size =\"7870464\"]\n  28 -> 36 [size =\"7870464\"]\n  28 -> 38 [size =\"7870464\"]\n  28 -> 40 [size =\"7870464\"]\n  29 [size=\"134710613\", alpha=\"0.02\", expect_size=\"40413184\"] \n  29 -> 31 [size =\"40413184\"]\n  29 -> 33 [size =\"40413184\"]\n  29 -> 36 [size =\"40413184\"]\n  29 -> 38 [size =\"40413184\"]\n  30 [size=\"139008000\", alpha=\"0.14\", expect_size=\"41702400\"] \n  30 -> 31 [size =\"41702400\"]\n  30 -> 34 [size =\"41702400\"]\n  30 -> 35 [size =\"41702400\"]\n  30 -> 36 [size =\"41702400\"]\n  30 -> 38 [size =\"41702400\"]\n  31 [size=\"119203840\", alpha=\"0.00\", expect_size=\"35761152\"] \n  32 [size=\"154750293\", alpha=\"0.13\", expect_size=\"46425088\"] \n  33 [size=\"168564053\", alpha=\"0.08\", expect_size=\"50569216\"] \n  34 [size=\"173496320\", alpha=\"0.00\", expect_size=\"52048896\"] \n  35 [size=\"69096107\", alpha=\"0.10\", expect_size=\"20728832\"] \n  36 [size=\"75724800\", alpha=\"0.05\", expect_size=\"22717440\"] \n  37 [size=\"60043947\", alpha=\"0.01\", expect_size=\"18013184\"] \n  38 [size=\"142749013\", alpha=\"0.16\", expect_size=\"42824704\"] \n  39 [size=\"72157867\", alpha=\"0.03\", expect_size=\"21647360\"] \n  40 [size=\"88449707\", alpha=\"0.17\", expect_size=\"26534912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40637440\", alpha=\"0.18\", expect_size=\"16254976\"] \n  1 -> 35 [size =\"16254976\"]\n  1 -> 36 [size =\"16254976\"]\n  1 -> 37 [size =\"16254976\"]\n  1 -> 39 [size =\"16254976\"]\n  2 [size=\"26867200\", alpha=\"0.01\", expect_size=\"10746880\"] \n  2 -> 29 [size =\"10746880\"]\n  2 -> 36 [size =\"10746880\"]\n  2 -> 37 [size =\"10746880\"]\n  3 [size=\"50424320\", alpha=\"0.19\", expect_size=\"20169728\"] \n  3 -> 29 [size =\"20169728\"]\n  3 -> 35 [size =\"20169728\"]\n  3 -> 37 [size =\"20169728\"]\n  3 -> 38 [size =\"20169728\"]\n  3 -> 39 [size =\"20169728\"]\n  4 [size=\"89681920\", alpha=\"0.01\", expect_size=\"35872768\"] \n  4 -> 29 [size =\"35872768\"]\n  4 -> 33 [size =\"35872768\"]\n  4 -> 35 [size =\"35872768\"]\n  4 -> 36 [size =\"35872768\"]\n  4 -> 37 [size =\"35872768\"]\n  4 -> 38 [size =\"35872768\"]\n  5 [size=\"126535680\", alpha=\"0.05\", expect_size=\"50614272\"] \n  5 -> 38 [size =\"50614272\"]\n  6 [size=\"55055360\", alpha=\"0.03\", expect_size=\"22022144\"] \n  6 -> 32 [size =\"22022144\"]\n  6 -> 36 [size =\"22022144\"]\n  6 -> 38 [size =\"22022144\"]\n  7 [size=\"71229440\", alpha=\"0.16\", expect_size=\"28491776\"] \n  7 -> 29 [size =\"28491776\"]\n  7 -> 31 [size =\"28491776\"]\n  7 -> 33 [size =\"28491776\"]\n  7 -> 34 [size =\"28491776\"]\n  7 -> 37 [size =\"28491776\"]\n  7 -> 38 [size =\"28491776\"]\n  8 [size=\"90961920\", alpha=\"0.01\", expect_size=\"36384768\"] \n  8 -> 28 [size =\"36384768\"]\n  8 -> 31 [size =\"36384768\"]\n  8 -> 39 [size =\"36384768\"]\n  8 -> 40 [size =\"36384768\"]\n  9 [size=\"69250560\", alpha=\"0.00\", expect_size=\"27700224\"] \n  9 -> 29 [size =\"27700224\"]\n  9 -> 32 [size =\"27700224\"]\n  9 -> 33 [size =\"27700224\"]\n  9 -> 37 [size =\"27700224\"]\n  10 [size=\"120235520\", alpha=\"0.05\", expect_size=\"48094208\"] \n  10 -> 26 [size =\"48094208\"]\n  10 -> 28 [size =\"48094208\"]\n  10 -> 31 [size =\"48094208\"]\n  10 -> 33 [size =\"48094208\"]\n  10 -> 36 [size =\"48094208\"]\n  10 -> 38 [size =\"48094208\"]\n  11 [size=\"22003200\", alpha=\"0.08\", expect_size=\"8801280\"] \n  11 -> 26 [size =\"8801280\"]\n  11 -> 28 [size =\"8801280\"]\n  11 -> 29 [size =\"8801280\"]\n  11 -> 33 [size =\"8801280\"]\n  11 -> 35 [size =\"8801280\"]\n  11 -> 36 [size =\"8801280\"]\n  11 -> 39 [size =\"8801280\"]\n  12 [size=\"126755840\", alpha=\"0.02\", expect_size=\"50702336\"] \n  12 -> 26 [size =\"50702336\"]\n  12 -> 27 [size =\"50702336\"]\n  12 -> 28 [size =\"50702336\"]\n  12 -> 31 [size =\"50702336\"]\n  12 -> 32 [size =\"50702336\"]\n  12 -> 36 [size =\"50702336\"]\n  13 [size=\"17415680\", alpha=\"0.07\", expect_size=\"6966272\"] \n  13 -> 30 [size =\"6966272\"]\n  13 -> 32 [size =\"6966272\"]\n  13 -> 39 [size =\"6966272\"]\n  14 [size=\"129702400\", alpha=\"0.10\", expect_size=\"51880960\"] \n  14 -> 29 [size =\"51880960\"]\n  14 -> 32 [size =\"51880960\"]\n  14 -> 37 [size =\"51880960\"]\n  14 -> 39 [size =\"51880960\"]\n  15 [size=\"17059840\", alpha=\"0.17\", expect_size=\"6823936\"] \n  15 -> 26 [size =\"6823936\"]\n  15 -> 27 [size =\"6823936\"]\n  15 -> 28 [size =\"6823936\"]\n  15 -> 32 [size =\"6823936\"]\n  15 -> 35 [size =\"6823936\"]\n  15 -> 37 [size =\"6823936\"]\n  15 -> 38 [size =\"6823936\"]\n  15 -> 39 [size =\"6823936\"]\n  16 [size=\"44416000\", alpha=\"0.07\", expect_size=\"17766400\"] \n  16 -> 29 [size =\"17766400\"]\n  16 -> 35 [size =\"17766400\"]\n  16 -> 37 [size =\"17766400\"]\n  16 -> 40 [size =\"17766400\"]\n  17 [size=\"60830720\", alpha=\"0.05\", expect_size=\"24332288\"] \n  17 -> 29 [size =\"24332288\"]\n  17 -> 35 [size =\"24332288\"]\n  17 -> 36 [size =\"24332288\"]\n  17 -> 37 [size =\"24332288\"]\n  17 -> 38 [size =\"24332288\"]\n  18 [size=\"37532160\", alpha=\"0.02\", expect_size=\"15012864\"] \n  18 -> 26 [size =\"15012864\"]\n  18 -> 31 [size =\"15012864\"]\n  18 -> 37 [size =\"15012864\"]\n  18 -> 37 [size =\"15012864\"]\n  18 -> 39 [size =\"15012864\"]\n  18 -> 40 [size =\"15012864\"]\n  19 [size=\"41781760\", alpha=\"0.00\", expect_size=\"16712704\"] \n  19 -> 26 [size =\"16712704\"]\n  19 -> 27 [size =\"16712704\"]\n  20 [size=\"43773440\", alpha=\"0.16\", expect_size=\"17509376\"] \n  20 -> 33 [size =\"17509376\"]\n  20 -> 35 [size =\"17509376\"]\n  20 -> 36 [size =\"17509376\"]\n  20 -> 37 [size =\"17509376\"]\n  20 -> 39 [size =\"17509376\"]\n  20 -> 40 [size =\"17509376\"]\n  21 [size=\"72250880\", alpha=\"0.16\", expect_size=\"28900352\"] \n  21 -> 30 [size =\"28900352\"]\n  21 -> 33 [size =\"28900352\"]\n  21 -> 35 [size =\"28900352\"]\n  21 -> 37 [size =\"28900352\"]\n  21 -> 38 [size =\"28900352\"]\n  21 -> 40 [size =\"28900352\"]\n  22 [size=\"117683200\", alpha=\"0.18\", expect_size=\"47073280\"] \n  22 -> 31 [size =\"47073280\"]\n  22 -> 34 [size =\"47073280\"]\n  22 -> 35 [size =\"47073280\"]\n  22 -> 37 [size =\"47073280\"]\n  22 -> 38 [size =\"47073280\"]\n  22 -> 40 [size =\"47073280\"]\n  23 [size=\"13281280\", alpha=\"0.07\", expect_size=\"5312512\"] \n  23 -> 31 [size =\"5312512\"]\n  23 -> 32 [size =\"5312512\"]\n  23 -> 35 [size =\"5312512\"]\n  24 [size=\"56158720\", alpha=\"0.09\", expect_size=\"22463488\"] \n  24 -> 27 [size =\"22463488\"]\n  24 -> 31 [size =\"22463488\"]\n  24 -> 33 [size =\"22463488\"]\n  24 -> 35 [size =\"22463488\"]\n  24 -> 36 [size =\"22463488\"]\n  24 -> 39 [size =\"22463488\"]\n  24 -> 40 [size =\"22463488\"]\n  25 [size=\"118000640\", alpha=\"0.10\", expect_size=\"47200256\"] \n  25 -> 28 [size =\"47200256\"]\n  25 -> 33 [size =\"47200256\"]\n  25 -> 35 [size =\"47200256\"]\n  25 -> 35 [size =\"47200256\"]\n  25 -> 36 [size =\"47200256\"]\n  25 -> 38 [size =\"47200256\"]\n  25 -> 39 [size =\"47200256\"]\n  25 -> 40 [size =\"47200256\"]\n  26 [size=\"99202560\", alpha=\"0.18\", expect_size=\"39681024\"] \n  27 [size=\"25436160\", alpha=\"0.16\", expect_size=\"10174464\"] \n  28 [size=\"54312960\", alpha=\"0.08\", expect_size=\"21725184\"] \n  29 [size=\"65753600\", alpha=\"0.08\", expect_size=\"26301440\"] \n  30 [size=\"66539520\", alpha=\"0.07\", expect_size=\"26615808\"] \n  31 [size=\"41006080\", alpha=\"0.08\", expect_size=\"16402432\"] \n  32 [size=\"16688640\", alpha=\"0.08\", expect_size=\"6675456\"] \n  33 [size=\"125309440\", alpha=\"0.08\", expect_size=\"50123776\"] \n  34 [size=\"50296320\", alpha=\"0.08\", expect_size=\"20118528\"] \n  35 [size=\"104151040\", alpha=\"0.09\", expect_size=\"41660416\"] \n  36 [size=\"46410240\", alpha=\"0.15\", expect_size=\"18564096\"] \n  37 [size=\"36989440\", alpha=\"0.10\", expect_size=\"14795776\"] \n  38 [size=\"16046080\", alpha=\"0.08\", expect_size=\"6418432\"] \n  39 [size=\"61440000\", alpha=\"0.11\", expect_size=\"24576000\"] \n  40 [size=\"111347200\", alpha=\"0.20\", expect_size=\"44538880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112043520\", alpha=\"0.05\", expect_size=\"44817408\"] \n  1 -> 32 [size =\"44817408\"]\n  1 -> 38 [size =\"44817408\"]\n  2 [size=\"19960320\", alpha=\"0.03\", expect_size=\"7984128\"] \n  2 -> 32 [size =\"7984128\"]\n  2 -> 36 [size =\"7984128\"]\n  2 -> 38 [size =\"7984128\"]\n  2 -> 39 [size =\"7984128\"]\n  3 [size=\"122439680\", alpha=\"0.09\", expect_size=\"48975872\"] \n  3 -> 31 [size =\"48975872\"]\n  3 -> 32 [size =\"48975872\"]\n  3 -> 34 [size =\"48975872\"]\n  3 -> 36 [size =\"48975872\"]\n  4 [size=\"68782080\", alpha=\"0.03\", expect_size=\"27512832\"] \n  4 -> 30 [size =\"27512832\"]\n  4 -> 35 [size =\"27512832\"]\n  4 -> 40 [size =\"27512832\"]\n  5 [size=\"65379840\", alpha=\"0.02\", expect_size=\"26151936\"] \n  5 -> 30 [size =\"26151936\"]\n  5 -> 31 [size =\"26151936\"]\n  5 -> 32 [size =\"26151936\"]\n  5 -> 33 [size =\"26151936\"]\n  5 -> 35 [size =\"26151936\"]\n  5 -> 38 [size =\"26151936\"]\n  5 -> 39 [size =\"26151936\"]\n  6 [size=\"58119680\", alpha=\"0.19\", expect_size=\"23247872\"] \n  6 -> 38 [size =\"23247872\"]\n  7 [size=\"87861760\", alpha=\"0.04\", expect_size=\"35144704\"] \n  7 -> 32 [size =\"35144704\"]\n  7 -> 33 [size =\"35144704\"]\n  7 -> 36 [size =\"35144704\"]\n  7 -> 37 [size =\"35144704\"]\n  7 -> 38 [size =\"35144704\"]\n  8 [size=\"118912000\", alpha=\"0.20\", expect_size=\"47564800\"] \n  8 -> 31 [size =\"47564800\"]\n  8 -> 33 [size =\"47564800\"]\n  8 -> 38 [size =\"47564800\"]\n  9 [size=\"58892800\", alpha=\"0.04\", expect_size=\"23557120\"] \n  9 -> 33 [size =\"23557120\"]\n  9 -> 39 [size =\"23557120\"]\n  10 [size=\"75151360\", alpha=\"0.03\", expect_size=\"30060544\"] \n  10 -> 31 [size =\"30060544\"]\n  10 -> 37 [size =\"30060544\"]\n  11 [size=\"15016960\", alpha=\"0.08\", expect_size=\"6006784\"] \n  11 -> 32 [size =\"6006784\"]\n  12 [size=\"44764160\", alpha=\"0.07\", expect_size=\"17905664\"] \n  12 -> 33 [size =\"17905664\"]\n  12 -> 38 [size =\"17905664\"]\n  12 -> 39 [size =\"17905664\"]\n  13 [size=\"63454720\", alpha=\"0.06\", expect_size=\"25381888\"] \n  13 -> 33 [size =\"25381888\"]\n  13 -> 40 [size =\"25381888\"]\n  14 [size=\"118325760\", alpha=\"0.15\", expect_size=\"47330304\"] \n  14 -> 31 [size =\"47330304\"]\n  14 -> 33 [size =\"47330304\"]\n  14 -> 36 [size =\"47330304\"]\n  14 -> 38 [size =\"47330304\"]\n  15 [size=\"17108480\", alpha=\"0.19\", expect_size=\"6843392\"] \n  15 -> 32 [size =\"6843392\"]\n  15 -> 33 [size =\"6843392\"]\n  16 [size=\"27402240\", alpha=\"0.08\", expect_size=\"10960896\"] \n  16 -> 30 [size =\"10960896\"]\n  16 -> 33 [size =\"10960896\"]\n  16 -> 35 [size =\"10960896\"]\n  17 [size=\"21946880\", alpha=\"0.07\", expect_size=\"8778752\"] \n  17 -> 31 [size =\"8778752\"]\n  17 -> 32 [size =\"8778752\"]\n  17 -> 33 [size =\"8778752\"]\n  17 -> 35 [size =\"8778752\"]\n  17 -> 37 [size =\"8778752\"]\n  18 [size=\"45268480\", alpha=\"0.14\", expect_size=\"18107392\"] \n  18 -> 31 [size =\"18107392\"]\n  18 -> 36 [size =\"18107392\"]\n  19 [size=\"43235840\", alpha=\"0.10\", expect_size=\"17294336\"] \n  19 -> 38 [size =\"17294336\"]\n  20 [size=\"65479680\", alpha=\"0.20\", expect_size=\"26191872\"] \n  20 -> 32 [size =\"26191872\"]\n  20 -> 34 [size =\"26191872\"]\n  20 -> 37 [size =\"26191872\"]\n  21 [size=\"80609280\", alpha=\"0.07\", expect_size=\"32243712\"] \n  21 -> 31 [size =\"32243712\"]\n  21 -> 32 [size =\"32243712\"]\n  21 -> 36 [size =\"32243712\"]\n  22 [size=\"129041920\", alpha=\"0.15\", expect_size=\"51616768\"] \n  22 -> 32 [size =\"51616768\"]\n  22 -> 36 [size =\"51616768\"]\n  22 -> 38 [size =\"51616768\"]\n  23 [size=\"53639680\", alpha=\"0.02\", expect_size=\"21455872\"] \n  23 -> 38 [size =\"21455872\"]\n  24 [size=\"86330880\", alpha=\"0.18\", expect_size=\"34532352\"] \n  24 -> 32 [size =\"34532352\"]\n  24 -> 37 [size =\"34532352\"]\n  24 -> 40 [size =\"34532352\"]\n  25 [size=\"55546880\", alpha=\"0.03\", expect_size=\"22218752\"] \n  25 -> 30 [size =\"22218752\"]\n  25 -> 31 [size =\"22218752\"]\n  25 -> 32 [size =\"22218752\"]\n  25 -> 35 [size =\"22218752\"]\n  26 [size=\"52416000\", alpha=\"0.15\", expect_size=\"20966400\"] \n  26 -> 31 [size =\"20966400\"]\n  26 -> 33 [size =\"20966400\"]\n  27 [size=\"98769920\", alpha=\"0.00\", expect_size=\"39507968\"] \n  27 -> 32 [size =\"39507968\"]\n  27 -> 37 [size =\"39507968\"]\n  27 -> 38 [size =\"39507968\"]\n  28 [size=\"24550400\", alpha=\"0.04\", expect_size=\"9820160\"] \n  28 -> 31 [size =\"9820160\"]\n  28 -> 32 [size =\"9820160\"]\n  28 -> 36 [size =\"9820160\"]\n  28 -> 37 [size =\"9820160\"]\n  28 -> 38 [size =\"9820160\"]\n  28 -> 39 [size =\"9820160\"]\n  29 [size=\"104985600\", alpha=\"0.15\", expect_size=\"41994240\"] \n  29 -> 35 [size =\"41994240\"]\n  29 -> 36 [size =\"41994240\"]\n  29 -> 38 [size =\"41994240\"]\n  30 [size=\"43937280\", alpha=\"0.16\", expect_size=\"17574912\"] \n  31 [size=\"42946560\", alpha=\"0.18\", expect_size=\"17178624\"] \n  32 [size=\"82982400\", alpha=\"0.05\", expect_size=\"33192960\"] \n  33 [size=\"52938240\", alpha=\"0.01\", expect_size=\"21175296\"] \n  34 [size=\"62149120\", alpha=\"0.14\", expect_size=\"24859648\"] \n  35 [size=\"48322560\", alpha=\"0.09\", expect_size=\"19329024\"] \n  36 [size=\"63731200\", alpha=\"0.05\", expect_size=\"25492480\"] \n  37 [size=\"35427840\", alpha=\"0.03\", expect_size=\"14171136\"] \n  38 [size=\"38167040\", alpha=\"0.07\", expect_size=\"15266816\"] \n  39 [size=\"59788800\", alpha=\"0.16\", expect_size=\"23915520\"] \n  40 [size=\"28113920\", alpha=\"0.13\", expect_size=\"11245568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135584427\", alpha=\"0.12\", expect_size=\"40675328\"] \n  2 [size=\"94044160\", alpha=\"0.15\", expect_size=\"28213248\"] \n  2 -> 12 [size =\"28213248\"]\n  3 [size=\"56572587\", alpha=\"0.03\", expect_size=\"16971776\"] \n  3 -> 8 [size =\"16971776\"]\n  3 -> 12 [size =\"16971776\"]\n  3 -> 13 [size =\"16971776\"]\n  4 [size=\"167505920\", alpha=\"0.16\", expect_size=\"50251776\"] \n  4 -> 7 [size =\"50251776\"]\n  4 -> 8 [size =\"50251776\"]\n  4 -> 12 [size =\"50251776\"]\n  5 [size=\"61699413\", alpha=\"0.12\", expect_size=\"18509824\"] \n  5 -> 7 [size =\"18509824\"]\n  5 -> 8 [size =\"18509824\"]\n  5 -> 10 [size =\"18509824\"]\n  6 [size=\"113015467\", alpha=\"0.15\", expect_size=\"33904640\"] \n  6 -> 7 [size =\"33904640\"]\n  6 -> 9 [size =\"33904640\"]\n  6 -> 11 [size =\"33904640\"]\n  7 [size=\"87592960\", alpha=\"0.14\", expect_size=\"26277888\"] \n  7 -> 16 [size =\"26277888\"]\n  7 -> 17 [size =\"26277888\"]\n  7 -> 19 [size =\"26277888\"]\n  7 -> 20 [size =\"26277888\"]\n  8 [size=\"76980907\", alpha=\"0.15\", expect_size=\"23094272\"] \n  8 -> 14 [size =\"23094272\"]\n  8 -> 15 [size =\"23094272\"]\n  8 -> 16 [size =\"23094272\"]\n  8 -> 19 [size =\"23094272\"]\n  8 -> 20 [size =\"23094272\"]\n  9 [size=\"22971733\", alpha=\"0.14\", expect_size=\"6891520\"] \n  9 -> 14 [size =\"6891520\"]\n  9 -> 18 [size =\"6891520\"]\n  10 [size=\"168093013\", alpha=\"0.04\", expect_size=\"50427904\"] \n  10 -> 14 [size =\"50427904\"]\n  10 -> 16 [size =\"50427904\"]\n  10 -> 17 [size =\"50427904\"]\n  10 -> 18 [size =\"50427904\"]\n  10 -> 19 [size =\"50427904\"]\n  11 [size=\"116565333\", alpha=\"0.05\", expect_size=\"34969600\"] \n  11 -> 14 [size =\"34969600\"]\n  11 -> 16 [size =\"34969600\"]\n  11 -> 20 [size =\"34969600\"]\n  12 [size=\"51401387\", alpha=\"0.01\", expect_size=\"15420416\"] \n  12 -> 18 [size =\"15420416\"]\n  13 [size=\"171659947\", alpha=\"0.19\", expect_size=\"51497984\"] \n  13 -> 14 [size =\"51497984\"]\n  13 -> 18 [size =\"51497984\"]\n  13 -> 19 [size =\"51497984\"]\n  13 -> 20 [size =\"51497984\"]\n  14 [size=\"38546773\", alpha=\"0.17\", expect_size=\"11564032\"] \n  14 -> 25 [size =\"11564032\"]\n  14 -> 26 [size =\"11564032\"]\n  15 [size=\"165341867\", alpha=\"0.03\", expect_size=\"49602560\"] \n  15 -> 21 [size =\"49602560\"]\n  15 -> 22 [size =\"49602560\"]\n  15 -> 27 [size =\"49602560\"]\n  16 [size=\"100338347\", alpha=\"0.16\", expect_size=\"30101504\"] \n  16 -> 22 [size =\"30101504\"]\n  17 [size=\"64307200\", alpha=\"0.02\", expect_size=\"19292160\"] \n  17 -> 21 [size =\"19292160\"]\n  17 -> 22 [size =\"19292160\"]\n  17 -> 26 [size =\"19292160\"]\n  18 [size=\"173264213\", alpha=\"0.15\", expect_size=\"51979264\"] \n  18 -> 21 [size =\"51979264\"]\n  18 -> 24 [size =\"51979264\"]\n  18 -> 25 [size =\"51979264\"]\n  18 -> 26 [size =\"51979264\"]\n  19 [size=\"132823040\", alpha=\"0.05\", expect_size=\"39846912\"] \n  19 -> 23 [size =\"39846912\"]\n  19 -> 24 [size =\"39846912\"]\n  19 -> 25 [size =\"39846912\"]\n  19 -> 26 [size =\"39846912\"]\n  19 -> 27 [size =\"39846912\"]\n  20 [size=\"83698347\", alpha=\"0.07\", expect_size=\"25109504\"] \n  20 -> 21 [size =\"25109504\"]\n  20 -> 25 [size =\"25109504\"]\n  21 [size=\"113360213\", alpha=\"0.04\", expect_size=\"34008064\"] \n  21 -> 28 [size =\"34008064\"]\n  22 [size=\"149213867\", alpha=\"0.11\", expect_size=\"44764160\"] \n  22 -> 29 [size =\"44764160\"]\n  22 -> 30 [size =\"44764160\"]\n  22 -> 32 [size =\"44764160\"]\n  23 [size=\"153272320\", alpha=\"0.03\", expect_size=\"45981696\"] \n  23 -> 28 [size =\"45981696\"]\n  23 -> 30 [size =\"45981696\"]\n  24 [size=\"146179413\", alpha=\"0.14\", expect_size=\"43853824\"] \n  24 -> 33 [size =\"43853824\"]\n  25 [size=\"125515093\", alpha=\"0.10\", expect_size=\"37654528\"] \n  25 -> 30 [size =\"37654528\"]\n  26 [size=\"149357227\", alpha=\"0.19\", expect_size=\"44807168\"] \n  26 -> 31 [size =\"44807168\"]\n  27 [size=\"117343573\", alpha=\"0.16\", expect_size=\"35203072\"] \n  27 -> 28 [size =\"35203072\"]\n  27 -> 29 [size =\"35203072\"]\n  27 -> 30 [size =\"35203072\"]\n  27 -> 32 [size =\"35203072\"]\n  28 [size=\"134836907\", alpha=\"0.01\", expect_size=\"40451072\"] \n  28 -> 34 [size =\"40451072\"]\n  28 -> 35 [size =\"40451072\"]\n  29 [size=\"99222187\", alpha=\"0.07\", expect_size=\"29766656\"] \n  29 -> 34 [size =\"29766656\"]\n  29 -> 35 [size =\"29766656\"]\n  29 -> 38 [size =\"29766656\"]\n  30 [size=\"139195733\", alpha=\"0.12\", expect_size=\"41758720\"] \n  31 [size=\"38072320\", alpha=\"0.10\", expect_size=\"11421696\"] \n  31 -> 34 [size =\"11421696\"]\n  31 -> 36 [size =\"11421696\"]\n  32 [size=\"71249920\", alpha=\"0.12\", expect_size=\"21374976\"] \n  32 -> 35 [size =\"21374976\"]\n  32 -> 38 [size =\"21374976\"]\n  32 -> 39 [size =\"21374976\"]\n  33 [size=\"158010027\", alpha=\"0.13\", expect_size=\"47403008\"] \n  33 -> 34 [size =\"47403008\"]\n  33 -> 35 [size =\"47403008\"]\n  33 -> 37 [size =\"47403008\"]\n  34 [size=\"22879573\", alpha=\"0.17\", expect_size=\"6863872\"] \n  35 [size=\"130461013\", alpha=\"0.00\", expect_size=\"39138304\"] \n  35 -> 40 [size =\"39138304\"]\n  36 [size=\"53125120\", alpha=\"0.14\", expect_size=\"15937536\"] \n  37 [size=\"43697493\", alpha=\"0.13\", expect_size=\"13109248\"] \n  38 [size=\"172291413\", alpha=\"0.13\", expect_size=\"51687424\"] \n  38 -> 40 [size =\"51687424\"]\n  39 [size=\"26559147\", alpha=\"0.07\", expect_size=\"7967744\"] \n  39 -> 40 [size =\"7967744\"]\n  40 [size=\"83855360\", alpha=\"0.09\", expect_size=\"25156608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15228928\", alpha=\"0.20\", expect_size=\"7614464\"] \n  1 -> 38 [size =\"7614464\"]\n  2 [size=\"52250624\", alpha=\"0.17\", expect_size=\"26125312\"] \n  2 -> 39 [size =\"26125312\"]\n  3 [size=\"24659968\", alpha=\"0.10\", expect_size=\"12329984\"] \n  3 -> 39 [size =\"12329984\"]\n  4 [size=\"21929984\", alpha=\"0.07\", expect_size=\"10964992\"] \n  4 -> 40 [size =\"10964992\"]\n  5 [size=\"49332224\", alpha=\"0.16\", expect_size=\"24666112\"] \n  5 -> 40 [size =\"24666112\"]\n  6 [size=\"99309568\", alpha=\"0.02\", expect_size=\"49654784\"] \n  7 [size=\"50710528\", alpha=\"0.10\", expect_size=\"25355264\"] \n  7 -> 38 [size =\"25355264\"]\n  7 -> 40 [size =\"25355264\"]\n  8 [size=\"46835712\", alpha=\"0.08\", expect_size=\"23417856\"] \n  8 -> 40 [size =\"23417856\"]\n  8 -> 40 [size =\"23417856\"]\n  9 [size=\"32360448\", alpha=\"0.11\", expect_size=\"16180224\"] \n  9 -> 40 [size =\"16180224\"]\n  10 [size=\"37560320\", alpha=\"0.09\", expect_size=\"18780160\"] \n  11 [size=\"51124224\", alpha=\"0.00\", expect_size=\"25562112\"] \n  11 -> 40 [size =\"25562112\"]\n  12 [size=\"50157568\", alpha=\"0.18\", expect_size=\"25078784\"] \n  12 -> 40 [size =\"25078784\"]\n  13 [size=\"35088384\", alpha=\"0.03\", expect_size=\"17544192\"] \n  13 -> 38 [size =\"17544192\"]\n  13 -> 40 [size =\"17544192\"]\n  14 [size=\"82763776\", alpha=\"0.05\", expect_size=\"41381888\"] \n  15 [size=\"21585920\", alpha=\"0.06\", expect_size=\"10792960\"] \n  15 -> 38 [size =\"10792960\"]\n  16 [size=\"98684928\", alpha=\"0.10\", expect_size=\"49342464\"] \n  16 -> 38 [size =\"49342464\"]\n  16 -> 40 [size =\"49342464\"]\n  17 [size=\"14233600\", alpha=\"0.14\", expect_size=\"7116800\"] \n  17 -> 38 [size =\"7116800\"]\n  18 [size=\"62726144\", alpha=\"0.19\", expect_size=\"31363072\"] \n  18 -> 38 [size =\"31363072\"]\n  18 -> 39 [size =\"31363072\"]\n  18 -> 40 [size =\"31363072\"]\n  19 [size=\"101029888\", alpha=\"0.10\", expect_size=\"50514944\"] \n  20 [size=\"60047360\", alpha=\"0.20\", expect_size=\"30023680\"] \n  20 -> 38 [size =\"30023680\"]\n  21 [size=\"101588992\", alpha=\"0.11\", expect_size=\"50794496\"] \n  22 [size=\"101996544\", alpha=\"0.10\", expect_size=\"50998272\"] \n  23 [size=\"92594176\", alpha=\"0.12\", expect_size=\"46297088\"] \n  23 -> 38 [size =\"46297088\"]\n  23 -> 40 [size =\"46297088\"]\n  24 [size=\"13068288\", alpha=\"0.17\", expect_size=\"6534144\"] \n  25 [size=\"34467840\", alpha=\"0.10\", expect_size=\"17233920\"] \n  26 [size=\"63002624\", alpha=\"0.02\", expect_size=\"31501312\"] \n  26 -> 40 [size =\"31501312\"]\n  27 [size=\"15632384\", alpha=\"0.03\", expect_size=\"7816192\"] \n  27 -> 40 [size =\"7816192\"]\n  28 [size=\"81393664\", alpha=\"0.11\", expect_size=\"40696832\"] \n  28 -> 40 [size =\"40696832\"]\n  29 [size=\"74881024\", alpha=\"0.04\", expect_size=\"37440512\"] \n  29 -> 40 [size =\"37440512\"]\n  30 [size=\"29505536\", alpha=\"0.02\", expect_size=\"14752768\"] \n  30 -> 39 [size =\"14752768\"]\n  30 -> 40 [size =\"14752768\"]\n  31 [size=\"29399040\", alpha=\"0.10\", expect_size=\"14699520\"] \n  31 -> 39 [size =\"14699520\"]\n  31 -> 40 [size =\"14699520\"]\n  32 [size=\"79308800\", alpha=\"0.05\", expect_size=\"39654400\"] \n  32 -> 38 [size =\"39654400\"]\n  33 [size=\"32251904\", alpha=\"0.06\", expect_size=\"16125952\"] \n  33 -> 38 [size =\"16125952\"]\n  34 [size=\"91154432\", alpha=\"0.02\", expect_size=\"45577216\"] \n  35 [size=\"78710784\", alpha=\"0.00\", expect_size=\"39355392\"] \n  36 [size=\"33773568\", alpha=\"0.18\", expect_size=\"16886784\"] \n  37 [size=\"45162496\", alpha=\"0.15\", expect_size=\"22581248\"] \n  38 [size=\"58736640\", alpha=\"0.04\", expect_size=\"29368320\"] \n  39 [size=\"16472064\", alpha=\"0.13\", expect_size=\"8236032\"] \n  40 [size=\"34615296\", alpha=\"0.11\", expect_size=\"17307648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31979520\", alpha=\"0.09\", expect_size=\"9593856\"] \n  1 -> 2 [size =\"9593856\"]\n  2 [size=\"90327040\", alpha=\"0.17\", expect_size=\"27098112\"] \n  2 -> 3 [size =\"27098112\"]\n  3 [size=\"167946240\", alpha=\"0.17\", expect_size=\"50383872\"] \n  3 -> 4 [size =\"50383872\"]\n  4 [size=\"23326720\", alpha=\"0.18\", expect_size=\"6998016\"] \n  4 -> 5 [size =\"6998016\"]\n  5 [size=\"71379627\", alpha=\"0.01\", expect_size=\"21413888\"] \n  5 -> 6 [size =\"21413888\"]\n  6 [size=\"101492053\", alpha=\"0.04\", expect_size=\"30447616\"] \n  6 -> 7 [size =\"30447616\"]\n  7 [size=\"19271680\", alpha=\"0.02\", expect_size=\"5781504\"] \n  7 -> 8 [size =\"5781504\"]\n  8 [size=\"130918400\", alpha=\"0.00\", expect_size=\"39275520\"] \n  8 -> 9 [size =\"39275520\"]\n  9 [size=\"109772800\", alpha=\"0.15\", expect_size=\"32931840\"] \n  9 -> 10 [size =\"32931840\"]\n  10 [size=\"70478507\", alpha=\"0.19\", expect_size=\"21143552\"] \n  10 -> 11 [size =\"21143552\"]\n  11 [size=\"151033173\", alpha=\"0.03\", expect_size=\"45309952\"] \n  11 -> 12 [size =\"45309952\"]\n  12 [size=\"65853440\", alpha=\"0.17\", expect_size=\"19756032\"] \n  12 -> 13 [size =\"19756032\"]\n  13 [size=\"43069440\", alpha=\"0.04\", expect_size=\"12920832\"] \n  13 -> 14 [size =\"12920832\"]\n  14 [size=\"173219840\", alpha=\"0.20\", expect_size=\"51965952\"] \n  14 -> 15 [size =\"51965952\"]\n  15 [size=\"157805227\", alpha=\"0.14\", expect_size=\"47341568\"] \n  15 -> 16 [size =\"47341568\"]\n  16 [size=\"163164160\", alpha=\"0.05\", expect_size=\"48949248\"] \n  16 -> 17 [size =\"48949248\"]\n  17 [size=\"35986773\", alpha=\"0.02\", expect_size=\"10796032\"] \n  17 -> 18 [size =\"10796032\"]\n  18 [size=\"53858987\", alpha=\"0.06\", expect_size=\"16157696\"] \n  18 -> 19 [size =\"16157696\"]\n  19 [size=\"55050240\", alpha=\"0.00\", expect_size=\"16515072\"] \n  19 -> 20 [size =\"16515072\"]\n  20 [size=\"17527467\", alpha=\"0.18\", expect_size=\"5258240\"] \n  20 -> 21 [size =\"5258240\"]\n  21 [size=\"166659413\", alpha=\"0.18\", expect_size=\"49997824\"] \n  21 -> 22 [size =\"49997824\"]\n  22 [size=\"34802347\", alpha=\"0.07\", expect_size=\"10440704\"] \n  22 -> 23 [size =\"10440704\"]\n  23 [size=\"165891413\", alpha=\"0.15\", expect_size=\"49767424\"] \n  23 -> 24 [size =\"49767424\"]\n  24 [size=\"38283947\", alpha=\"0.04\", expect_size=\"11485184\"] \n  24 -> 25 [size =\"11485184\"]\n  25 [size=\"34536107\", alpha=\"0.20\", expect_size=\"10360832\"] \n  25 -> 26 [size =\"10360832\"]\n  26 [size=\"142561280\", alpha=\"0.06\", expect_size=\"42768384\"] \n  26 -> 27 [size =\"42768384\"]\n  27 [size=\"27054080\", alpha=\"0.13\", expect_size=\"8116224\"] \n  27 -> 28 [size =\"8116224\"]\n  28 [size=\"42618880\", alpha=\"0.14\", expect_size=\"12785664\"] \n  28 -> 29 [size =\"12785664\"]\n  29 [size=\"86295893\", alpha=\"0.06\", expect_size=\"25888768\"] \n  29 -> 30 [size =\"25888768\"]\n  30 [size=\"87207253\", alpha=\"0.06\", expect_size=\"26162176\"] \n  30 -> 31 [size =\"26162176\"]\n  31 [size=\"71587840\", alpha=\"0.03\", expect_size=\"21476352\"] \n  31 -> 32 [size =\"21476352\"]\n  32 [size=\"53947733\", alpha=\"0.05\", expect_size=\"16184320\"] \n  32 -> 33 [size =\"16184320\"]\n  33 [size=\"107130880\", alpha=\"0.11\", expect_size=\"32139264\"] \n  33 -> 34 [size =\"32139264\"]\n  34 [size=\"67037867\", alpha=\"0.17\", expect_size=\"20111360\"] \n  34 -> 35 [size =\"20111360\"]\n  35 [size=\"96808960\", alpha=\"0.01\", expect_size=\"29042688\"] \n  35 -> 36 [size =\"29042688\"]\n  36 [size=\"93064533\", alpha=\"0.03\", expect_size=\"27919360\"] \n  36 -> 37 [size =\"27919360\"]\n  37 [size=\"139820373\", alpha=\"0.07\", expect_size=\"41946112\"] \n  37 -> 38 [size =\"41946112\"]\n  38 [size=\"81588907\", alpha=\"0.16\", expect_size=\"24476672\"] \n  38 -> 39 [size =\"24476672\"]\n  39 [size=\"31812267\", alpha=\"0.10\", expect_size=\"9543680\"] \n  39 -> 40 [size =\"9543680\"]\n  40 [size=\"82790400\", alpha=\"0.04\", expect_size=\"24837120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60178432\", alpha=\"0.02\", expect_size=\"30089216\"] \n  1 -> 5 [size =\"30089216\"]\n  1 -> 10 [size =\"30089216\"]\n  2 [size=\"15226880\", alpha=\"0.14\", expect_size=\"7613440\"] \n  2 -> 5 [size =\"7613440\"]\n  2 -> 6 [size =\"7613440\"]\n  2 -> 10 [size =\"7613440\"]\n  2 -> 11 [size =\"7613440\"]\n  3 [size=\"64016384\", alpha=\"0.08\", expect_size=\"32008192\"] \n  3 -> 5 [size =\"32008192\"]\n  3 -> 7 [size =\"32008192\"]\n  3 -> 9 [size =\"32008192\"]\n  4 [size=\"62693376\", alpha=\"0.10\", expect_size=\"31346688\"] \n  4 -> 7 [size =\"31346688\"]\n  4 -> 8 [size =\"31346688\"]\n  4 -> 9 [size =\"31346688\"]\n  5 [size=\"82581504\", alpha=\"0.08\", expect_size=\"41290752\"] \n  5 -> 12 [size =\"41290752\"]\n  5 -> 15 [size =\"41290752\"]\n  5 -> 16 [size =\"41290752\"]\n  5 -> 17 [size =\"41290752\"]\n  6 [size=\"42426368\", alpha=\"0.03\", expect_size=\"21213184\"] \n  6 -> 12 [size =\"21213184\"]\n  6 -> 14 [size =\"21213184\"]\n  6 -> 17 [size =\"21213184\"]\n  7 [size=\"89626624\", alpha=\"0.18\", expect_size=\"44813312\"] \n  7 -> 12 [size =\"44813312\"]\n  7 -> 13 [size =\"44813312\"]\n  7 -> 18 [size =\"44813312\"]\n  8 [size=\"100495360\", alpha=\"0.09\", expect_size=\"50247680\"] \n  9 [size=\"35440640\", alpha=\"0.04\", expect_size=\"17720320\"] \n  9 -> 15 [size =\"17720320\"]\n  10 [size=\"68255744\", alpha=\"0.01\", expect_size=\"34127872\"] \n  10 -> 12 [size =\"34127872\"]\n  10 -> 18 [size =\"34127872\"]\n  11 [size=\"53508096\", alpha=\"0.09\", expect_size=\"26754048\"] \n  11 -> 12 [size =\"26754048\"]\n  12 [size=\"62935040\", alpha=\"0.14\", expect_size=\"31467520\"] \n  12 -> 19 [size =\"31467520\"]\n  12 -> 23 [size =\"31467520\"]\n  13 [size=\"32708608\", alpha=\"0.12\", expect_size=\"16354304\"] \n  13 -> 19 [size =\"16354304\"]\n  13 -> 20 [size =\"16354304\"]\n  13 -> 22 [size =\"16354304\"]\n  13 -> 23 [size =\"16354304\"]\n  14 [size=\"72357888\", alpha=\"0.12\", expect_size=\"36178944\"] \n  14 -> 20 [size =\"36178944\"]\n  14 -> 22 [size =\"36178944\"]\n  14 -> 23 [size =\"36178944\"]\n  14 -> 23 [size =\"36178944\"]\n  15 [size=\"22892544\", alpha=\"0.07\", expect_size=\"11446272\"] \n  15 -> 21 [size =\"11446272\"]\n  16 [size=\"62961664\", alpha=\"0.14\", expect_size=\"31480832\"] \n  16 -> 20 [size =\"31480832\"]\n  16 -> 21 [size =\"31480832\"]\n  17 [size=\"78374912\", alpha=\"0.06\", expect_size=\"39187456\"] \n  17 -> 20 [size =\"39187456\"]\n  17 -> 21 [size =\"39187456\"]\n  18 [size=\"67362816\", alpha=\"0.07\", expect_size=\"33681408\"] \n  18 -> 19 [size =\"33681408\"]\n  18 -> 20 [size =\"33681408\"]\n  18 -> 22 [size =\"33681408\"]\n  19 [size=\"16373760\", alpha=\"0.05\", expect_size=\"8186880\"] \n  19 -> 25 [size =\"8186880\"]\n  19 -> 27 [size =\"8186880\"]\n  20 [size=\"37502976\", alpha=\"0.06\", expect_size=\"18751488\"] \n  20 -> 24 [size =\"18751488\"]\n  20 -> 25 [size =\"18751488\"]\n  20 -> 27 [size =\"18751488\"]\n  21 [size=\"42590208\", alpha=\"0.19\", expect_size=\"21295104\"] \n  21 -> 24 [size =\"21295104\"]\n  21 -> 26 [size =\"21295104\"]\n  21 -> 27 [size =\"21295104\"]\n  22 [size=\"83288064\", alpha=\"0.12\", expect_size=\"41644032\"] \n  22 -> 24 [size =\"41644032\"]\n  22 -> 27 [size =\"41644032\"]\n  23 [size=\"55590912\", alpha=\"0.17\", expect_size=\"27795456\"] \n  23 -> 24 [size =\"27795456\"]\n  23 -> 25 [size =\"27795456\"]\n  24 [size=\"17133568\", alpha=\"0.13\", expect_size=\"8566784\"] \n  24 -> 30 [size =\"8566784\"]\n  24 -> 31 [size =\"8566784\"]\n  24 -> 34 [size =\"8566784\"]\n  25 [size=\"73809920\", alpha=\"0.04\", expect_size=\"36904960\"] \n  25 -> 28 [size =\"36904960\"]\n  25 -> 30 [size =\"36904960\"]\n  25 -> 31 [size =\"36904960\"]\n  25 -> 34 [size =\"36904960\"]\n  26 [size=\"104783872\", alpha=\"0.02\", expect_size=\"52391936\"] \n  26 -> 28 [size =\"52391936\"]\n  26 -> 30 [size =\"52391936\"]\n  26 -> 31 [size =\"52391936\"]\n  27 [size=\"77656064\", alpha=\"0.17\", expect_size=\"38828032\"] \n  27 -> 28 [size =\"38828032\"]\n  27 -> 29 [size =\"38828032\"]\n  27 -> 32 [size =\"38828032\"]\n  27 -> 33 [size =\"38828032\"]\n  28 [size=\"11708416\", alpha=\"0.10\", expect_size=\"5854208\"] \n  28 -> 35 [size =\"5854208\"]\n  28 -> 36 [size =\"5854208\"]\n  28 -> 38 [size =\"5854208\"]\n  29 [size=\"46155776\", alpha=\"0.10\", expect_size=\"23077888\"] \n  29 -> 35 [size =\"23077888\"]\n  29 -> 36 [size =\"23077888\"]\n  30 [size=\"67794944\", alpha=\"0.01\", expect_size=\"33897472\"] \n  30 -> 35 [size =\"33897472\"]\n  30 -> 36 [size =\"33897472\"]\n  31 [size=\"98435072\", alpha=\"0.01\", expect_size=\"49217536\"] \n  31 -> 35 [size =\"49217536\"]\n  32 [size=\"93399040\", alpha=\"0.13\", expect_size=\"46699520\"] \n  32 -> 36 [size =\"46699520\"]\n  32 -> 39 [size =\"46699520\"]\n  33 [size=\"57425920\", alpha=\"0.09\", expect_size=\"28712960\"] \n  33 -> 35 [size =\"28712960\"]\n  33 -> 37 [size =\"28712960\"]\n  33 -> 38 [size =\"28712960\"]\n  33 -> 39 [size =\"28712960\"]\n  34 [size=\"44052480\", alpha=\"0.18\", expect_size=\"22026240\"] \n  34 -> 36 [size =\"22026240\"]\n  34 -> 37 [size =\"22026240\"]\n  34 -> 38 [size =\"22026240\"]\n  34 -> 40 [size =\"22026240\"]\n  35 [size=\"11112448\", alpha=\"0.10\", expect_size=\"5556224\"] \n  36 [size=\"30703616\", alpha=\"0.13\", expect_size=\"15351808\"] \n  37 [size=\"40396800\", alpha=\"0.11\", expect_size=\"20198400\"] \n  38 [size=\"24958976\", alpha=\"0.00\", expect_size=\"12479488\"] \n  39 [size=\"74403840\", alpha=\"0.11\", expect_size=\"37201920\"] \n  40 [size=\"24942592\", alpha=\"0.08\", expect_size=\"12471296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84951040\", alpha=\"0.01\", expect_size=\"42475520\"] \n  1 -> 9 [size =\"42475520\"]\n  1 -> 10 [size =\"42475520\"]\n  1 -> 11 [size =\"42475520\"]\n  2 [size=\"34586624\", alpha=\"0.14\", expect_size=\"17293312\"] \n  2 -> 7 [size =\"17293312\"]\n  2 -> 9 [size =\"17293312\"]\n  2 -> 11 [size =\"17293312\"]\n  3 [size=\"43917312\", alpha=\"0.12\", expect_size=\"21958656\"] \n  3 -> 9 [size =\"21958656\"]\n  3 -> 9 [size =\"21958656\"]\n  3 -> 11 [size =\"21958656\"]\n  4 [size=\"38150144\", alpha=\"0.15\", expect_size=\"19075072\"] \n  4 -> 6 [size =\"19075072\"]\n  4 -> 7 [size =\"19075072\"]\n  4 -> 8 [size =\"19075072\"]\n  4 -> 10 [size =\"19075072\"]\n  4 -> 11 [size =\"19075072\"]\n  5 [size=\"51605504\", alpha=\"0.19\", expect_size=\"25802752\"] \n  5 -> 6 [size =\"25802752\"]\n  5 -> 7 [size =\"25802752\"]\n  5 -> 9 [size =\"25802752\"]\n  6 [size=\"103634944\", alpha=\"0.05\", expect_size=\"51817472\"] \n  6 -> 14 [size =\"51817472\"]\n  6 -> 15 [size =\"51817472\"]\n  6 -> 16 [size =\"51817472\"]\n  6 -> 17 [size =\"51817472\"]\n  7 [size=\"77064192\", alpha=\"0.14\", expect_size=\"38532096\"] \n  7 -> 14 [size =\"38532096\"]\n  7 -> 15 [size =\"38532096\"]\n  7 -> 16 [size =\"38532096\"]\n  7 -> 17 [size =\"38532096\"]\n  8 [size=\"103976960\", alpha=\"0.02\", expect_size=\"51988480\"] \n  8 -> 13 [size =\"51988480\"]\n  8 -> 14 [size =\"51988480\"]\n  8 -> 15 [size =\"51988480\"]\n  8 -> 16 [size =\"51988480\"]\n  8 -> 17 [size =\"51988480\"]\n  9 [size=\"60291072\", alpha=\"0.08\", expect_size=\"30145536\"] \n  9 -> 12 [size =\"30145536\"]\n  9 -> 13 [size =\"30145536\"]\n  9 -> 14 [size =\"30145536\"]\n  9 -> 15 [size =\"30145536\"]\n  9 -> 16 [size =\"30145536\"]\n  9 -> 17 [size =\"30145536\"]\n  10 [size=\"63131648\", alpha=\"0.17\", expect_size=\"31565824\"] \n  10 -> 12 [size =\"31565824\"]\n  10 -> 16 [size =\"31565824\"]\n  10 -> 17 [size =\"31565824\"]\n  11 [size=\"101634048\", alpha=\"0.14\", expect_size=\"50817024\"] \n  11 -> 15 [size =\"50817024\"]\n  11 -> 16 [size =\"50817024\"]\n  11 -> 17 [size =\"50817024\"]\n  12 [size=\"14278656\", alpha=\"0.01\", expect_size=\"7139328\"] \n  12 -> 19 [size =\"7139328\"]\n  12 -> 19 [size =\"7139328\"]\n  12 -> 22 [size =\"7139328\"]\n  13 [size=\"81983488\", alpha=\"0.17\", expect_size=\"40991744\"] \n  13 -> 18 [size =\"40991744\"]\n  13 -> 19 [size =\"40991744\"]\n  13 -> 21 [size =\"40991744\"]\n  13 -> 22 [size =\"40991744\"]\n  14 [size=\"43472896\", alpha=\"0.18\", expect_size=\"21736448\"] \n  14 -> 19 [size =\"21736448\"]\n  14 -> 20 [size =\"21736448\"]\n  14 -> 22 [size =\"21736448\"]\n  14 -> 22 [size =\"21736448\"]\n  15 [size=\"19146752\", alpha=\"0.14\", expect_size=\"9573376\"] \n  15 -> 20 [size =\"9573376\"]\n  15 -> 22 [size =\"9573376\"]\n  16 [size=\"13318144\", alpha=\"0.01\", expect_size=\"6659072\"] \n  16 -> 19 [size =\"6659072\"]\n  16 -> 20 [size =\"6659072\"]\n  16 -> 22 [size =\"6659072\"]\n  17 [size=\"38436864\", alpha=\"0.00\", expect_size=\"19218432\"] \n  17 -> 18 [size =\"19218432\"]\n  17 -> 19 [size =\"19218432\"]\n  17 -> 20 [size =\"19218432\"]\n  18 [size=\"11907072\", alpha=\"0.16\", expect_size=\"5953536\"] \n  18 -> 23 [size =\"5953536\"]\n  18 -> 24 [size =\"5953536\"]\n  18 -> 25 [size =\"5953536\"]\n  18 -> 26 [size =\"5953536\"]\n  18 -> 27 [size =\"5953536\"]\n  19 [size=\"21536768\", alpha=\"0.05\", expect_size=\"10768384\"] \n  19 -> 23 [size =\"10768384\"]\n  19 -> 25 [size =\"10768384\"]\n  19 -> 26 [size =\"10768384\"]\n  20 [size=\"59934720\", alpha=\"0.14\", expect_size=\"29967360\"] \n  20 -> 25 [size =\"29967360\"]\n  20 -> 25 [size =\"29967360\"]\n  20 -> 26 [size =\"29967360\"]\n  21 [size=\"43868160\", alpha=\"0.19\", expect_size=\"21934080\"] \n  21 -> 23 [size =\"21934080\"]\n  21 -> 24 [size =\"21934080\"]\n  21 -> 25 [size =\"21934080\"]\n  21 -> 26 [size =\"21934080\"]\n  22 [size=\"13570048\", alpha=\"0.09\", expect_size=\"6785024\"] \n  22 -> 24 [size =\"6785024\"]\n  22 -> 26 [size =\"6785024\"]\n  23 [size=\"18937856\", alpha=\"0.06\", expect_size=\"9468928\"] \n  23 -> 29 [size =\"9468928\"]\n  23 -> 30 [size =\"9468928\"]\n  23 -> 32 [size =\"9468928\"]\n  23 -> 33 [size =\"9468928\"]\n  24 [size=\"99065856\", alpha=\"0.09\", expect_size=\"49532928\"] \n  24 -> 28 [size =\"49532928\"]\n  24 -> 30 [size =\"49532928\"]\n  24 -> 31 [size =\"49532928\"]\n  24 -> 32 [size =\"49532928\"]\n  25 [size=\"89290752\", alpha=\"0.00\", expect_size=\"44645376\"] \n  25 -> 29 [size =\"44645376\"]\n  25 -> 31 [size =\"44645376\"]\n  25 -> 31 [size =\"44645376\"]\n  25 -> 32 [size =\"44645376\"]\n  26 [size=\"63244288\", alpha=\"0.12\", expect_size=\"31622144\"] \n  26 -> 29 [size =\"31622144\"]\n  26 -> 30 [size =\"31622144\"]\n  26 -> 31 [size =\"31622144\"]\n  26 -> 32 [size =\"31622144\"]\n  27 [size=\"69330944\", alpha=\"0.17\", expect_size=\"34665472\"] \n  27 -> 28 [size =\"34665472\"]\n  27 -> 29 [size =\"34665472\"]\n  27 -> 30 [size =\"34665472\"]\n  27 -> 31 [size =\"34665472\"]\n  27 -> 32 [size =\"34665472\"]\n  28 [size=\"71254016\", alpha=\"0.02\", expect_size=\"35627008\"] \n  28 -> 35 [size =\"35627008\"]\n  28 -> 36 [size =\"35627008\"]\n  28 -> 37 [size =\"35627008\"]\n  29 [size=\"53458944\", alpha=\"0.18\", expect_size=\"26729472\"] \n  29 -> 37 [size =\"26729472\"]\n  30 [size=\"79056896\", alpha=\"0.05\", expect_size=\"39528448\"] \n  30 -> 35 [size =\"39528448\"]\n  30 -> 36 [size =\"39528448\"]\n  30 -> 37 [size =\"39528448\"]\n  31 [size=\"52584448\", alpha=\"0.11\", expect_size=\"26292224\"] \n  31 -> 34 [size =\"26292224\"]\n  31 -> 35 [size =\"26292224\"]\n  31 -> 36 [size =\"26292224\"]\n  31 -> 37 [size =\"26292224\"]\n  32 [size=\"48508928\", alpha=\"0.18\", expect_size=\"24254464\"] \n  32 -> 35 [size =\"24254464\"]\n  32 -> 35 [size =\"24254464\"]\n  32 -> 38 [size =\"24254464\"]\n  33 [size=\"90933248\", alpha=\"0.00\", expect_size=\"45466624\"] \n  33 -> 35 [size =\"45466624\"]\n  33 -> 37 [size =\"45466624\"]\n  34 [size=\"24543232\", alpha=\"0.09\", expect_size=\"12271616\"] \n  34 -> 39 [size =\"12271616\"]\n  34 -> 40 [size =\"12271616\"]\n  35 [size=\"65751040\", alpha=\"0.00\", expect_size=\"32875520\"] \n  35 -> 40 [size =\"32875520\"]\n  36 [size=\"66930688\", alpha=\"0.12\", expect_size=\"33465344\"] \n  36 -> 40 [size =\"33465344\"]\n  37 [size=\"26865664\", alpha=\"0.09\", expect_size=\"13432832\"] \n  37 -> 40 [size =\"13432832\"]\n  38 [size=\"12130304\", alpha=\"0.07\", expect_size=\"6065152\"] \n  38 -> 40 [size =\"6065152\"]\n  39 [size=\"21850112\", alpha=\"0.07\", expect_size=\"10925056\"] \n  40 [size=\"11454464\", alpha=\"0.18\", expect_size=\"5727232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33891840\", alpha=\"0.18\", expect_size=\"13556736\"] \n  1 -> 16 [size =\"13556736\"]\n  1 -> 22 [size =\"13556736\"]\n  2 [size=\"24512000\", alpha=\"0.09\", expect_size=\"9804800\"] \n  2 -> 16 [size =\"9804800\"]\n  2 -> 17 [size =\"9804800\"]\n  2 -> 19 [size =\"9804800\"]\n  2 -> 21 [size =\"9804800\"]\n  2 -> 22 [size =\"9804800\"]\n  3 [size=\"128220160\", alpha=\"0.02\", expect_size=\"51288064\"] \n  3 -> 16 [size =\"51288064\"]\n  3 -> 18 [size =\"51288064\"]\n  3 -> 19 [size =\"51288064\"]\n  4 [size=\"96215040\", alpha=\"0.03\", expect_size=\"38486016\"] \n  4 -> 15 [size =\"38486016\"]\n  4 -> 17 [size =\"38486016\"]\n  4 -> 19 [size =\"38486016\"]\n  5 [size=\"22254080\", alpha=\"0.10\", expect_size=\"8901632\"] \n  5 -> 22 [size =\"8901632\"]\n  6 [size=\"118067200\", alpha=\"0.04\", expect_size=\"47226880\"] \n  6 -> 15 [size =\"47226880\"]\n  7 [size=\"77079040\", alpha=\"0.18\", expect_size=\"30831616\"] \n  7 -> 15 [size =\"30831616\"]\n  7 -> 16 [size =\"30831616\"]\n  7 -> 17 [size =\"30831616\"]\n  7 -> 18 [size =\"30831616\"]\n  7 -> 19 [size =\"30831616\"]\n  7 -> 21 [size =\"30831616\"]\n  7 -> 22 [size =\"30831616\"]\n  8 [size=\"128573440\", alpha=\"0.01\", expect_size=\"51429376\"] \n  8 -> 15 [size =\"51429376\"]\n  8 -> 17 [size =\"51429376\"]\n  8 -> 19 [size =\"51429376\"]\n  8 -> 22 [size =\"51429376\"]\n  9 [size=\"61429760\", alpha=\"0.07\", expect_size=\"24571904\"] \n  9 -> 15 [size =\"24571904\"]\n  9 -> 17 [size =\"24571904\"]\n  10 [size=\"20369920\", alpha=\"0.19\", expect_size=\"8147968\"] \n  10 -> 15 [size =\"8147968\"]\n  10 -> 19 [size =\"8147968\"]\n  10 -> 20 [size =\"8147968\"]\n  10 -> 21 [size =\"8147968\"]\n  10 -> 22 [size =\"8147968\"]\n  10 -> 23 [size =\"8147968\"]\n  11 [size=\"43074560\", alpha=\"0.13\", expect_size=\"17229824\"] \n  11 -> 15 [size =\"17229824\"]\n  11 -> 17 [size =\"17229824\"]\n  11 -> 19 [size =\"17229824\"]\n  12 [size=\"33935360\", alpha=\"0.14\", expect_size=\"13574144\"] \n  12 -> 15 [size =\"13574144\"]\n  12 -> 18 [size =\"13574144\"]\n  12 -> 22 [size =\"13574144\"]\n  13 [size=\"84789760\", alpha=\"0.01\", expect_size=\"33915904\"] \n  13 -> 18 [size =\"33915904\"]\n  13 -> 21 [size =\"33915904\"]\n  13 -> 22 [size =\"33915904\"]\n  13 -> 23 [size =\"33915904\"]\n  14 [size=\"97031680\", alpha=\"0.01\", expect_size=\"38812672\"] \n  14 -> 15 [size =\"38812672\"]\n  14 -> 22 [size =\"38812672\"]\n  15 [size=\"116794880\", alpha=\"0.00\", expect_size=\"46717952\"] \n  15 -> 24 [size =\"46717952\"]\n  15 -> 26 [size =\"46717952\"]\n  15 -> 28 [size =\"46717952\"]\n  15 -> 29 [size =\"46717952\"]\n  15 -> 30 [size =\"46717952\"]\n  15 -> 32 [size =\"46717952\"]\n  15 -> 35 [size =\"46717952\"]\n  16 [size=\"55784960\", alpha=\"0.14\", expect_size=\"22313984\"] \n  16 -> 24 [size =\"22313984\"]\n  16 -> 25 [size =\"22313984\"]\n  16 -> 26 [size =\"22313984\"]\n  16 -> 28 [size =\"22313984\"]\n  16 -> 29 [size =\"22313984\"]\n  16 -> 32 [size =\"22313984\"]\n  16 -> 34 [size =\"22313984\"]\n  16 -> 35 [size =\"22313984\"]\n  17 [size=\"78584320\", alpha=\"0.08\", expect_size=\"31433728\"] \n  17 -> 27 [size =\"31433728\"]\n  17 -> 28 [size =\"31433728\"]\n  17 -> 29 [size =\"31433728\"]\n  17 -> 30 [size =\"31433728\"]\n  17 -> 32 [size =\"31433728\"]\n  17 -> 32 [size =\"31433728\"]\n  17 -> 33 [size =\"31433728\"]\n  17 -> 35 [size =\"31433728\"]\n  18 [size=\"68953600\", alpha=\"0.13\", expect_size=\"27581440\"] \n  18 -> 24 [size =\"27581440\"]\n  18 -> 27 [size =\"27581440\"]\n  18 -> 30 [size =\"27581440\"]\n  18 -> 33 [size =\"27581440\"]\n  18 -> 35 [size =\"27581440\"]\n  19 [size=\"74173440\", alpha=\"0.05\", expect_size=\"29669376\"] \n  19 -> 25 [size =\"29669376\"]\n  19 -> 26 [size =\"29669376\"]\n  19 -> 30 [size =\"29669376\"]\n  19 -> 36 [size =\"29669376\"]\n  20 [size=\"117102080\", alpha=\"0.18\", expect_size=\"46840832\"] \n  20 -> 24 [size =\"46840832\"]\n  20 -> 25 [size =\"46840832\"]\n  20 -> 26 [size =\"46840832\"]\n  20 -> 27 [size =\"46840832\"]\n  20 -> 28 [size =\"46840832\"]\n  20 -> 29 [size =\"46840832\"]\n  20 -> 31 [size =\"46840832\"]\n  20 -> 32 [size =\"46840832\"]\n  20 -> 34 [size =\"46840832\"]\n  21 [size=\"111380480\", alpha=\"0.14\", expect_size=\"44552192\"] \n  21 -> 24 [size =\"44552192\"]\n  21 -> 29 [size =\"44552192\"]\n  21 -> 30 [size =\"44552192\"]\n  21 -> 33 [size =\"44552192\"]\n  21 -> 34 [size =\"44552192\"]\n  22 [size=\"67934720\", alpha=\"0.12\", expect_size=\"27173888\"] \n  22 -> 29 [size =\"27173888\"]\n  22 -> 32 [size =\"27173888\"]\n  22 -> 33 [size =\"27173888\"]\n  22 -> 34 [size =\"27173888\"]\n  22 -> 35 [size =\"27173888\"]\n  23 [size=\"32033280\", alpha=\"0.10\", expect_size=\"12813312\"] \n  23 -> 24 [size =\"12813312\"]\n  23 -> 28 [size =\"12813312\"]\n  23 -> 29 [size =\"12813312\"]\n  23 -> 30 [size =\"12813312\"]\n  23 -> 32 [size =\"12813312\"]\n  24 [size=\"37447680\", alpha=\"0.02\", expect_size=\"14979072\"] \n  24 -> 39 [size =\"14979072\"]\n  25 [size=\"41041920\", alpha=\"0.15\", expect_size=\"16416768\"] \n  26 [size=\"42452480\", alpha=\"0.06\", expect_size=\"16980992\"] \n  26 -> 40 [size =\"16980992\"]\n  27 [size=\"125593600\", alpha=\"0.08\", expect_size=\"50237440\"] \n  27 -> 37 [size =\"50237440\"]\n  27 -> 39 [size =\"50237440\"]\n  28 [size=\"52154880\", alpha=\"0.10\", expect_size=\"20861952\"] \n  29 [size=\"130529280\", alpha=\"0.19\", expect_size=\"52211712\"] \n  29 -> 38 [size =\"52211712\"]\n  30 [size=\"44815360\", alpha=\"0.10\", expect_size=\"17926144\"] \n  30 -> 39 [size =\"17926144\"]\n  31 [size=\"33776640\", alpha=\"0.06\", expect_size=\"13510656\"] \n  31 -> 37 [size =\"13510656\"]\n  32 [size=\"118197760\", alpha=\"0.06\", expect_size=\"47279104\"] \n  32 -> 38 [size =\"47279104\"]\n  32 -> 39 [size =\"47279104\"]\n  33 [size=\"73556480\", alpha=\"0.17\", expect_size=\"29422592\"] \n  33 -> 39 [size =\"29422592\"]\n  34 [size=\"14970880\", alpha=\"0.03\", expect_size=\"5988352\"] \n  34 -> 39 [size =\"5988352\"]\n  35 [size=\"25546240\", alpha=\"0.07\", expect_size=\"10218496\"] \n  35 -> 37 [size =\"10218496\"]\n  35 -> 39 [size =\"10218496\"]\n  35 -> 40 [size =\"10218496\"]\n  36 [size=\"114432000\", alpha=\"0.18\", expect_size=\"45772800\"] \n  36 -> 37 [size =\"45772800\"]\n  36 -> 39 [size =\"45772800\"]\n  37 [size=\"32698880\", alpha=\"0.19\", expect_size=\"13079552\"] \n  38 [size=\"80248320\", alpha=\"0.11\", expect_size=\"32099328\"] \n  39 [size=\"18657280\", alpha=\"0.12\", expect_size=\"7462912\"] \n  40 [size=\"14210560\", alpha=\"0.12\", expect_size=\"5684224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167577600\", alpha=\"0.09\", expect_size=\"50273280\"] \n  1 -> 2 [size =\"50273280\"]\n  1 -> 3 [size =\"50273280\"]\n  1 -> 4 [size =\"50273280\"]\n  1 -> 5 [size =\"50273280\"]\n  2 [size=\"106383360\", alpha=\"0.09\", expect_size=\"31915008\"] \n  2 -> 6 [size =\"31915008\"]\n  3 [size=\"150145707\", alpha=\"0.16\", expect_size=\"45043712\"] \n  3 -> 6 [size =\"45043712\"]\n  4 [size=\"131464533\", alpha=\"0.07\", expect_size=\"39439360\"] \n  4 -> 6 [size =\"39439360\"]\n  4 -> 7 [size =\"39439360\"]\n  5 [size=\"159709867\", alpha=\"0.10\", expect_size=\"47912960\"] \n  5 -> 6 [size =\"47912960\"]\n  6 [size=\"18203307\", alpha=\"0.16\", expect_size=\"5460992\"] \n  6 -> 9 [size =\"5460992\"]\n  7 [size=\"88279040\", alpha=\"0.14\", expect_size=\"26483712\"] \n  7 -> 8 [size =\"26483712\"]\n  7 -> 9 [size =\"26483712\"]\n  8 [size=\"32518827\", alpha=\"0.02\", expect_size=\"9755648\"] \n  8 -> 10 [size =\"9755648\"]\n  8 -> 11 [size =\"9755648\"]\n  9 [size=\"114165760\", alpha=\"0.14\", expect_size=\"34249728\"] \n  9 -> 10 [size =\"34249728\"]\n  9 -> 11 [size =\"34249728\"]\n  10 [size=\"64013653\", alpha=\"0.01\", expect_size=\"19204096\"] \n  10 -> 12 [size =\"19204096\"]\n  10 -> 13 [size =\"19204096\"]\n  10 -> 14 [size =\"19204096\"]\n  10 -> 15 [size =\"19204096\"]\n  11 [size=\"97351680\", alpha=\"0.07\", expect_size=\"29205504\"] \n  11 -> 12 [size =\"29205504\"]\n  11 -> 13 [size =\"29205504\"]\n  11 -> 14 [size =\"29205504\"]\n  12 [size=\"165659307\", alpha=\"0.09\", expect_size=\"49697792\"] \n  12 -> 16 [size =\"49697792\"]\n  12 -> 17 [size =\"49697792\"]\n  13 [size=\"77011627\", alpha=\"0.03\", expect_size=\"23103488\"] \n  13 -> 16 [size =\"23103488\"]\n  13 -> 17 [size =\"23103488\"]\n  13 -> 18 [size =\"23103488\"]\n  14 [size=\"45513387\", alpha=\"0.05\", expect_size=\"13654016\"] \n  14 -> 16 [size =\"13654016\"]\n  14 -> 17 [size =\"13654016\"]\n  14 -> 18 [size =\"13654016\"]\n  15 [size=\"100014080\", alpha=\"0.08\", expect_size=\"30004224\"] \n  15 -> 17 [size =\"30004224\"]\n  16 [size=\"24838827\", alpha=\"0.07\", expect_size=\"7451648\"] \n  16 -> 19 [size =\"7451648\"]\n  16 -> 20 [size =\"7451648\"]\n  17 [size=\"149896533\", alpha=\"0.15\", expect_size=\"44968960\"] \n  17 -> 19 [size =\"44968960\"]\n  17 -> 20 [size =\"44968960\"]\n  18 [size=\"106475520\", alpha=\"0.12\", expect_size=\"31942656\"] \n  18 -> 19 [size =\"31942656\"]\n  18 -> 20 [size =\"31942656\"]\n  19 [size=\"125719893\", alpha=\"0.01\", expect_size=\"37715968\"] \n  19 -> 22 [size =\"37715968\"]\n  20 [size=\"78452053\", alpha=\"0.17\", expect_size=\"23535616\"] \n  20 -> 21 [size =\"23535616\"]\n  20 -> 22 [size =\"23535616\"]\n  21 [size=\"83865600\", alpha=\"0.12\", expect_size=\"25159680\"] \n  21 -> 23 [size =\"25159680\"]\n  21 -> 24 [size =\"25159680\"]\n  22 [size=\"139393707\", alpha=\"0.18\", expect_size=\"41818112\"] \n  22 -> 23 [size =\"41818112\"]\n  22 -> 24 [size =\"41818112\"]\n  22 -> 25 [size =\"41818112\"]\n  23 [size=\"49701547\", alpha=\"0.00\", expect_size=\"14910464\"] \n  23 -> 26 [size =\"14910464\"]\n  23 -> 28 [size =\"14910464\"]\n  24 [size=\"74018133\", alpha=\"0.18\", expect_size=\"22205440\"] \n  24 -> 26 [size =\"22205440\"]\n  24 -> 27 [size =\"22205440\"]\n  24 -> 28 [size =\"22205440\"]\n  25 [size=\"117179733\", alpha=\"0.13\", expect_size=\"35153920\"] \n  25 -> 26 [size =\"35153920\"]\n  25 -> 28 [size =\"35153920\"]\n  26 [size=\"20705280\", alpha=\"0.09\", expect_size=\"6211584\"] \n  26 -> 30 [size =\"6211584\"]\n  27 [size=\"77509973\", alpha=\"0.13\", expect_size=\"23252992\"] \n  27 -> 29 [size =\"23252992\"]\n  27 -> 30 [size =\"23252992\"]\n  27 -> 31 [size =\"23252992\"]\n  28 [size=\"35495253\", alpha=\"0.20\", expect_size=\"10648576\"] \n  28 -> 30 [size =\"10648576\"]\n  29 [size=\"130116267\", alpha=\"0.19\", expect_size=\"39034880\"] \n  29 -> 32 [size =\"39034880\"]\n  29 -> 33 [size =\"39034880\"]\n  29 -> 34 [size =\"39034880\"]\n  30 [size=\"139963733\", alpha=\"0.03\", expect_size=\"41989120\"] \n  30 -> 32 [size =\"41989120\"]\n  30 -> 33 [size =\"41989120\"]\n  30 -> 34 [size =\"41989120\"]\n  31 [size=\"115370667\", alpha=\"0.18\", expect_size=\"34611200\"] \n  31 -> 32 [size =\"34611200\"]\n  31 -> 33 [size =\"34611200\"]\n  31 -> 34 [size =\"34611200\"]\n  32 [size=\"49152000\", alpha=\"0.12\", expect_size=\"14745600\"] \n  32 -> 35 [size =\"14745600\"]\n  32 -> 36 [size =\"14745600\"]\n  33 [size=\"30218240\", alpha=\"0.13\", expect_size=\"9065472\"] \n  33 -> 35 [size =\"9065472\"]\n  34 [size=\"33952427\", alpha=\"0.18\", expect_size=\"10185728\"] \n  34 -> 35 [size =\"10185728\"]\n  35 [size=\"174346240\", alpha=\"0.13\", expect_size=\"52303872\"] \n  35 -> 38 [size =\"52303872\"]\n  36 [size=\"121777493\", alpha=\"0.10\", expect_size=\"36533248\"] \n  36 -> 37 [size =\"36533248\"]\n  36 -> 38 [size =\"36533248\"]\n  37 [size=\"34263040\", alpha=\"0.03\", expect_size=\"10278912\"] \n  37 -> 39 [size =\"10278912\"]\n  37 -> 40 [size =\"10278912\"]\n  38 [size=\"139892053\", alpha=\"0.07\", expect_size=\"41967616\"] \n  38 -> 39 [size =\"41967616\"]\n  38 -> 40 [size =\"41967616\"]\n  39 [size=\"139137707\", alpha=\"0.05\", expect_size=\"41741312\"] \n  40 [size=\"128692907\", alpha=\"0.11\", expect_size=\"38607872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97757867\", alpha=\"0.12\", expect_size=\"29327360\"] \n  1 -> 7 [size =\"29327360\"]\n  1 -> 11 [size =\"29327360\"]\n  2 [size=\"159368533\", alpha=\"0.08\", expect_size=\"47810560\"] \n  2 -> 7 [size =\"47810560\"]\n  2 -> 10 [size =\"47810560\"]\n  2 -> 11 [size =\"47810560\"]\n  3 [size=\"67730773\", alpha=\"0.16\", expect_size=\"20319232\"] \n  3 -> 8 [size =\"20319232\"]\n  4 [size=\"150951253\", alpha=\"0.08\", expect_size=\"45285376\"] \n  4 -> 6 [size =\"45285376\"]\n  4 -> 9 [size =\"45285376\"]\n  4 -> 11 [size =\"45285376\"]\n  5 [size=\"52541440\", alpha=\"0.05\", expect_size=\"15762432\"] \n  5 -> 6 [size =\"15762432\"]\n  5 -> 7 [size =\"15762432\"]\n  5 -> 8 [size =\"15762432\"]\n  5 -> 10 [size =\"15762432\"]\n  6 [size=\"91159893\", alpha=\"0.04\", expect_size=\"27347968\"] \n  6 -> 15 [size =\"27347968\"]\n  7 [size=\"23831893\", alpha=\"0.02\", expect_size=\"7149568\"] \n  7 -> 13 [size =\"7149568\"]\n  7 -> 15 [size =\"7149568\"]\n  7 -> 16 [size =\"7149568\"]\n  8 [size=\"133939200\", alpha=\"0.08\", expect_size=\"40181760\"] \n  8 -> 12 [size =\"40181760\"]\n  8 -> 14 [size =\"40181760\"]\n  8 -> 15 [size =\"40181760\"]\n  8 -> 17 [size =\"40181760\"]\n  9 [size=\"84797440\", alpha=\"0.20\", expect_size=\"25439232\"] \n  9 -> 16 [size =\"25439232\"]\n  9 -> 17 [size =\"25439232\"]\n  10 [size=\"126306987\", alpha=\"0.07\", expect_size=\"37892096\"] \n  10 -> 12 [size =\"37892096\"]\n  10 -> 13 [size =\"37892096\"]\n  10 -> 16 [size =\"37892096\"]\n  11 [size=\"139714560\", alpha=\"0.01\", expect_size=\"41914368\"] \n  12 [size=\"78168747\", alpha=\"0.10\", expect_size=\"23450624\"] \n  12 -> 20 [size =\"23450624\"]\n  13 [size=\"144271360\", alpha=\"0.13\", expect_size=\"43281408\"] \n  13 -> 19 [size =\"43281408\"]\n  13 -> 21 [size =\"43281408\"]\n  13 -> 22 [size =\"43281408\"]\n  14 [size=\"114899627\", alpha=\"0.09\", expect_size=\"34469888\"] \n  14 -> 18 [size =\"34469888\"]\n  14 -> 20 [size =\"34469888\"]\n  14 -> 21 [size =\"34469888\"]\n  15 [size=\"17937067\", alpha=\"0.20\", expect_size=\"5381120\"] \n  15 -> 18 [size =\"5381120\"]\n  15 -> 21 [size =\"5381120\"]\n  16 [size=\"56057173\", alpha=\"0.15\", expect_size=\"16817152\"] \n  17 [size=\"83582293\", alpha=\"0.20\", expect_size=\"25074688\"] \n  17 -> 20 [size =\"25074688\"]\n  17 -> 23 [size =\"25074688\"]\n  18 [size=\"96044373\", alpha=\"0.05\", expect_size=\"28813312\"] \n  19 [size=\"158050987\", alpha=\"0.07\", expect_size=\"47415296\"] \n  19 -> 25 [size =\"47415296\"]\n  20 [size=\"154531840\", alpha=\"0.07\", expect_size=\"46359552\"] \n  20 -> 24 [size =\"46359552\"]\n  20 -> 27 [size =\"46359552\"]\n  21 [size=\"51121493\", alpha=\"0.18\", expect_size=\"15336448\"] \n  21 -> 26 [size =\"15336448\"]\n  21 -> 27 [size =\"15336448\"]\n  21 -> 28 [size =\"15336448\"]\n  22 [size=\"55558827\", alpha=\"0.06\", expect_size=\"16667648\"] \n  22 -> 25 [size =\"16667648\"]\n  22 -> 26 [size =\"16667648\"]\n  22 -> 27 [size =\"16667648\"]\n  22 -> 28 [size =\"16667648\"]\n  23 [size=\"135621973\", alpha=\"0.01\", expect_size=\"40686592\"] \n  23 -> 25 [size =\"40686592\"]\n  24 [size=\"78557867\", alpha=\"0.12\", expect_size=\"23567360\"] \n  24 -> 31 [size =\"23567360\"]\n  25 [size=\"150108160\", alpha=\"0.09\", expect_size=\"45032448\"] \n  25 -> 30 [size =\"45032448\"]\n  25 -> 31 [size =\"45032448\"]\n  25 -> 33 [size =\"45032448\"]\n  26 [size=\"149620053\", alpha=\"0.14\", expect_size=\"44886016\"] \n  26 -> 29 [size =\"44886016\"]\n  26 -> 34 [size =\"44886016\"]\n  27 [size=\"110803627\", alpha=\"0.00\", expect_size=\"33241088\"] \n  27 -> 29 [size =\"33241088\"]\n  28 [size=\"108987733\", alpha=\"0.01\", expect_size=\"32696320\"] \n  28 -> 32 [size =\"32696320\"]\n  28 -> 34 [size =\"32696320\"]\n  29 [size=\"146865493\", alpha=\"0.11\", expect_size=\"44059648\"] \n  29 -> 36 [size =\"44059648\"]\n  29 -> 39 [size =\"44059648\"]\n  30 [size=\"48114347\", alpha=\"0.15\", expect_size=\"14434304\"] \n  30 -> 39 [size =\"14434304\"]\n  31 [size=\"107066027\", alpha=\"0.14\", expect_size=\"32119808\"] \n  31 -> 38 [size =\"32119808\"]\n  32 [size=\"89422507\", alpha=\"0.00\", expect_size=\"26826752\"] \n  33 [size=\"137086293\", alpha=\"0.03\", expect_size=\"41125888\"] \n  33 -> 36 [size =\"41125888\"]\n  33 -> 37 [size =\"41125888\"]\n  34 [size=\"143018667\", alpha=\"0.19\", expect_size=\"42905600\"] \n  34 -> 35 [size =\"42905600\"]\n  34 -> 39 [size =\"42905600\"]\n  35 [size=\"83415040\", alpha=\"0.14\", expect_size=\"25024512\"] \n  35 -> 40 [size =\"25024512\"]\n  36 [size=\"150623573\", alpha=\"0.14\", expect_size=\"45187072\"] \n  37 [size=\"103758507\", alpha=\"0.03\", expect_size=\"31127552\"] \n  38 [size=\"106461867\", alpha=\"0.02\", expect_size=\"31938560\"] \n  38 -> 40 [size =\"31938560\"]\n  39 [size=\"117913600\", alpha=\"0.18\", expect_size=\"35374080\"] \n  39 -> 40 [size =\"35374080\"]\n  40 [size=\"48148480\", alpha=\"0.12\", expect_size=\"14444544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171755520\", alpha=\"0.03\", expect_size=\"51526656\"] \n  1 -> 2 [size =\"51526656\"]\n  2 [size=\"59583147\", alpha=\"0.09\", expect_size=\"17874944\"] \n  2 -> 3 [size =\"17874944\"]\n  3 [size=\"146309120\", alpha=\"0.07\", expect_size=\"43892736\"] \n  3 -> 4 [size =\"43892736\"]\n  4 [size=\"100505600\", alpha=\"0.04\", expect_size=\"30151680\"] \n  4 -> 5 [size =\"30151680\"]\n  5 [size=\"125020160\", alpha=\"0.08\", expect_size=\"37506048\"] \n  5 -> 6 [size =\"37506048\"]\n  6 [size=\"81261227\", alpha=\"0.08\", expect_size=\"24378368\"] \n  6 -> 7 [size =\"24378368\"]\n  7 [size=\"23616853\", alpha=\"0.05\", expect_size=\"7085056\"] \n  7 -> 8 [size =\"7085056\"]\n  8 [size=\"101120000\", alpha=\"0.13\", expect_size=\"30336000\"] \n  8 -> 9 [size =\"30336000\"]\n  9 [size=\"97699840\", alpha=\"0.03\", expect_size=\"29309952\"] \n  9 -> 10 [size =\"29309952\"]\n  10 [size=\"143728640\", alpha=\"0.07\", expect_size=\"43118592\"] \n  10 -> 11 [size =\"43118592\"]\n  11 [size=\"51838293\", alpha=\"0.14\", expect_size=\"15551488\"] \n  11 -> 12 [size =\"15551488\"]\n  12 [size=\"74451627\", alpha=\"0.01\", expect_size=\"22335488\"] \n  12 -> 13 [size =\"22335488\"]\n  13 [size=\"145066667\", alpha=\"0.02\", expect_size=\"43520000\"] \n  13 -> 14 [size =\"43520000\"]\n  14 [size=\"39550293\", alpha=\"0.17\", expect_size=\"11865088\"] \n  14 -> 15 [size =\"11865088\"]\n  15 [size=\"71086080\", alpha=\"0.05\", expect_size=\"21325824\"] \n  15 -> 16 [size =\"21325824\"]\n  16 [size=\"136471893\", alpha=\"0.16\", expect_size=\"40941568\"] \n  16 -> 17 [size =\"40941568\"]\n  17 [size=\"39137280\", alpha=\"0.03\", expect_size=\"11741184\"] \n  17 -> 18 [size =\"11741184\"]\n  18 [size=\"79414613\", alpha=\"0.05\", expect_size=\"23824384\"] \n  18 -> 19 [size =\"23824384\"]\n  19 [size=\"23773867\", alpha=\"0.09\", expect_size=\"7132160\"] \n  19 -> 20 [size =\"7132160\"]\n  20 [size=\"50568533\", alpha=\"0.14\", expect_size=\"15170560\"] \n  20 -> 21 [size =\"15170560\"]\n  21 [size=\"109096960\", alpha=\"0.20\", expect_size=\"32729088\"] \n  21 -> 22 [size =\"32729088\"]\n  22 [size=\"62614187\", alpha=\"0.11\", expect_size=\"18784256\"] \n  22 -> 23 [size =\"18784256\"]\n  23 [size=\"72724480\", alpha=\"0.18\", expect_size=\"21817344\"] \n  23 -> 24 [size =\"21817344\"]\n  24 [size=\"89245013\", alpha=\"0.15\", expect_size=\"26773504\"] \n  24 -> 25 [size =\"26773504\"]\n  25 [size=\"66990080\", alpha=\"0.07\", expect_size=\"20097024\"] \n  25 -> 26 [size =\"20097024\"]\n  26 [size=\"108922880\", alpha=\"0.06\", expect_size=\"32676864\"] \n  26 -> 27 [size =\"32676864\"]\n  27 [size=\"80049493\", alpha=\"0.06\", expect_size=\"24014848\"] \n  27 -> 28 [size =\"24014848\"]\n  28 [size=\"102120107\", alpha=\"0.17\", expect_size=\"30636032\"] \n  28 -> 29 [size =\"30636032\"]\n  29 [size=\"144872107\", alpha=\"0.18\", expect_size=\"43461632\"] \n  29 -> 30 [size =\"43461632\"]\n  30 [size=\"56282453\", alpha=\"0.15\", expect_size=\"16884736\"] \n  30 -> 31 [size =\"16884736\"]\n  31 [size=\"170257067\", alpha=\"0.17\", expect_size=\"51077120\"] \n  31 -> 32 [size =\"51077120\"]\n  32 [size=\"169219413\", alpha=\"0.06\", expect_size=\"50765824\"] \n  32 -> 33 [size =\"50765824\"]\n  33 [size=\"95276373\", alpha=\"0.11\", expect_size=\"28582912\"] \n  33 -> 34 [size =\"28582912\"]\n  34 [size=\"77267627\", alpha=\"0.18\", expect_size=\"23180288\"] \n  34 -> 35 [size =\"23180288\"]\n  35 [size=\"40936107\", alpha=\"0.13\", expect_size=\"12280832\"] \n  35 -> 36 [size =\"12280832\"]\n  36 [size=\"93825707\", alpha=\"0.03\", expect_size=\"28147712\"] \n  36 -> 37 [size =\"28147712\"]\n  37 [size=\"142438400\", alpha=\"0.15\", expect_size=\"42731520\"] \n  37 -> 38 [size =\"42731520\"]\n  38 [size=\"35624960\", alpha=\"0.16\", expect_size=\"10687488\"] \n  38 -> 39 [size =\"10687488\"]\n  39 [size=\"171608747\", alpha=\"0.17\", expect_size=\"51482624\"] \n  39 -> 40 [size =\"51482624\"]\n  40 [size=\"158750720\", alpha=\"0.02\", expect_size=\"47625216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18457600\", alpha=\"0.12\", expect_size=\"7383040\"] \n  1 -> 3 [size =\"7383040\"]\n  1 -> 4 [size =\"7383040\"]\n  2 [size=\"76536320\", alpha=\"0.15\", expect_size=\"30614528\"] \n  2 -> 5 [size =\"30614528\"]\n  2 -> 6 [size =\"30614528\"]\n  3 [size=\"20390400\", alpha=\"0.04\", expect_size=\"8156160\"] \n  4 [size=\"84106240\", alpha=\"0.00\", expect_size=\"33642496\"] \n  5 [size=\"126428160\", alpha=\"0.04\", expect_size=\"50571264\"] \n  5 -> 7 [size =\"50571264\"]\n  6 [size=\"37985280\", alpha=\"0.06\", expect_size=\"15194112\"] \n  6 -> 7 [size =\"15194112\"]\n  7 [size=\"22156800\", alpha=\"0.11\", expect_size=\"8862720\"] \n  7 -> 8 [size =\"8862720\"]\n  7 -> 9 [size =\"8862720\"]\n  7 -> 10 [size =\"8862720\"]\n  7 -> 11 [size =\"8862720\"]\n  8 [size=\"58869760\", alpha=\"0.06\", expect_size=\"23547904\"] \n  9 [size=\"121013760\", alpha=\"0.17\", expect_size=\"48405504\"] \n  9 -> 12 [size =\"48405504\"]\n  10 [size=\"13521920\", alpha=\"0.13\", expect_size=\"5408768\"] \n  10 -> 12 [size =\"5408768\"]\n  11 [size=\"127920640\", alpha=\"0.01\", expect_size=\"51168256\"] \n  12 [size=\"80048640\", alpha=\"0.01\", expect_size=\"32019456\"] \n  12 -> 13 [size =\"32019456\"]\n  12 -> 14 [size =\"32019456\"]\n  13 [size=\"52098560\", alpha=\"0.11\", expect_size=\"20839424\"] \n  13 -> 16 [size =\"20839424\"]\n  14 [size=\"73272320\", alpha=\"0.08\", expect_size=\"29308928\"] \n  14 -> 15 [size =\"29308928\"]\n  15 [size=\"75952640\", alpha=\"0.18\", expect_size=\"30381056\"] \n  15 -> 17 [size =\"30381056\"]\n  15 -> 18 [size =\"30381056\"]\n  15 -> 19 [size =\"30381056\"]\n  16 [size=\"102223360\", alpha=\"0.05\", expect_size=\"40889344\"] \n  17 [size=\"21194240\", alpha=\"0.12\", expect_size=\"8477696\"] \n  17 -> 21 [size =\"8477696\"]\n  18 [size=\"88291840\", alpha=\"0.15\", expect_size=\"35316736\"] \n  18 -> 20 [size =\"35316736\"]\n  19 [size=\"123983360\", alpha=\"0.10\", expect_size=\"49593344\"] \n  19 -> 20 [size =\"49593344\"]\n  19 -> 21 [size =\"49593344\"]\n  19 -> 22 [size =\"49593344\"]\n  20 [size=\"106772480\", alpha=\"0.18\", expect_size=\"42708992\"] \n  20 -> 25 [size =\"42708992\"]\n  21 [size=\"64588800\", alpha=\"0.07\", expect_size=\"25835520\"] \n  21 -> 24 [size =\"25835520\"]\n  22 [size=\"70625280\", alpha=\"0.06\", expect_size=\"28250112\"] \n  22 -> 23 [size =\"28250112\"]\n  23 [size=\"78589440\", alpha=\"0.07\", expect_size=\"31435776\"] \n  23 -> 27 [size =\"31435776\"]\n  24 [size=\"22622720\", alpha=\"0.00\", expect_size=\"9049088\"] \n  24 -> 28 [size =\"9049088\"]\n  25 [size=\"71168000\", alpha=\"0.12\", expect_size=\"28467200\"] \n  25 -> 26 [size =\"28467200\"]\n  25 -> 28 [size =\"28467200\"]\n  26 [size=\"61204480\", alpha=\"0.09\", expect_size=\"24481792\"] \n  26 -> 30 [size =\"24481792\"]\n  27 [size=\"92055040\", alpha=\"0.07\", expect_size=\"36822016\"] \n  27 -> 31 [size =\"36822016\"]\n  28 [size=\"46072320\", alpha=\"0.12\", expect_size=\"18428928\"] \n  28 -> 29 [size =\"18428928\"]\n  28 -> 31 [size =\"18428928\"]\n  29 [size=\"13908480\", alpha=\"0.16\", expect_size=\"5563392\"] \n  30 [size=\"72296960\", alpha=\"0.00\", expect_size=\"28918784\"] \n  30 -> 32 [size =\"28918784\"]\n  31 [size=\"59863040\", alpha=\"0.04\", expect_size=\"23945216\"] \n  31 -> 32 [size =\"23945216\"]\n  32 [size=\"99929600\", alpha=\"0.19\", expect_size=\"39971840\"] \n  32 -> 33 [size =\"39971840\"]\n  32 -> 34 [size =\"39971840\"]\n  32 -> 35 [size =\"39971840\"]\n  33 [size=\"19988480\", alpha=\"0.00\", expect_size=\"7995392\"] \n  33 -> 38 [size =\"7995392\"]\n  34 [size=\"63260160\", alpha=\"0.12\", expect_size=\"25304064\"] \n  34 -> 36 [size =\"25304064\"]\n  34 -> 38 [size =\"25304064\"]\n  35 [size=\"64814080\", alpha=\"0.14\", expect_size=\"25925632\"] \n  35 -> 36 [size =\"25925632\"]\n  35 -> 37 [size =\"25925632\"]\n  36 [size=\"20006400\", alpha=\"0.11\", expect_size=\"8002560\"] \n  36 -> 40 [size =\"8002560\"]\n  37 [size=\"71685120\", alpha=\"0.10\", expect_size=\"28674048\"] \n  37 -> 39 [size =\"28674048\"]\n  38 [size=\"110932480\", alpha=\"0.02\", expect_size=\"44372992\"] \n  38 -> 39 [size =\"44372992\"]\n  39 [size=\"65548800\", alpha=\"0.12\", expect_size=\"26219520\"] \n  40 [size=\"43438080\", alpha=\"0.18\", expect_size=\"17375232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81015467\", alpha=\"0.10\", expect_size=\"24304640\"] \n  1 -> 3 [size =\"24304640\"]\n  1 -> 4 [size =\"24304640\"]\n  2 [size=\"152135680\", alpha=\"0.07\", expect_size=\"45640704\"] \n  2 -> 4 [size =\"45640704\"]\n  3 [size=\"168693760\", alpha=\"0.03\", expect_size=\"50608128\"] \n  3 -> 5 [size =\"50608128\"]\n  3 -> 7 [size =\"50608128\"]\n  4 [size=\"104557227\", alpha=\"0.18\", expect_size=\"31367168\"] \n  4 -> 5 [size =\"31367168\"]\n  4 -> 6 [size =\"31367168\"]\n  4 -> 7 [size =\"31367168\"]\n  5 [size=\"39157760\", alpha=\"0.19\", expect_size=\"11747328\"] \n  5 -> 8 [size =\"11747328\"]\n  5 -> 9 [size =\"11747328\"]\n  5 -> 10 [size =\"11747328\"]\n  6 [size=\"112414720\", alpha=\"0.13\", expect_size=\"33724416\"] \n  6 -> 10 [size =\"33724416\"]\n  7 [size=\"34481493\", alpha=\"0.07\", expect_size=\"10344448\"] \n  7 -> 10 [size =\"10344448\"]\n  8 [size=\"39424000\", alpha=\"0.13\", expect_size=\"11827200\"] \n  8 -> 12 [size =\"11827200\"]\n  8 -> 13 [size =\"11827200\"]\n  9 [size=\"148572160\", alpha=\"0.01\", expect_size=\"44571648\"] \n  9 -> 11 [size =\"44571648\"]\n  10 [size=\"52428800\", alpha=\"0.16\", expect_size=\"15728640\"] \n  10 -> 12 [size =\"15728640\"]\n  11 [size=\"34457600\", alpha=\"0.05\", expect_size=\"10337280\"] \n  11 -> 15 [size =\"10337280\"]\n  11 -> 16 [size =\"10337280\"]\n  12 [size=\"109431467\", alpha=\"0.08\", expect_size=\"32829440\"] \n  12 -> 14 [size =\"32829440\"]\n  13 [size=\"167103147\", alpha=\"0.12\", expect_size=\"50130944\"] \n  13 -> 16 [size =\"50130944\"]\n  14 [size=\"30685867\", alpha=\"0.18\", expect_size=\"9205760\"] \n  14 -> 18 [size =\"9205760\"]\n  15 [size=\"173230080\", alpha=\"0.00\", expect_size=\"51969024\"] \n  15 -> 17 [size =\"51969024\"]\n  16 [size=\"164652373\", alpha=\"0.06\", expect_size=\"49395712\"] \n  16 -> 18 [size =\"49395712\"]\n  17 [size=\"107844267\", alpha=\"0.09\", expect_size=\"32353280\"] \n  17 -> 19 [size =\"32353280\"]\n  17 -> 21 [size =\"32353280\"]\n  18 [size=\"160266240\", alpha=\"0.09\", expect_size=\"48079872\"] \n  18 -> 19 [size =\"48079872\"]\n  18 -> 20 [size =\"48079872\"]\n  18 -> 21 [size =\"48079872\"]\n  19 [size=\"109073067\", alpha=\"0.02\", expect_size=\"32721920\"] \n  19 -> 22 [size =\"32721920\"]\n  19 -> 23 [size =\"32721920\"]\n  20 [size=\"116244480\", alpha=\"0.01\", expect_size=\"34873344\"] \n  21 [size=\"86667947\", alpha=\"0.07\", expect_size=\"26000384\"] \n  21 -> 23 [size =\"26000384\"]\n  22 [size=\"124893867\", alpha=\"0.10\", expect_size=\"37468160\"] \n  22 -> 24 [size =\"37468160\"]\n  22 -> 26 [size =\"37468160\"]\n  23 [size=\"29996373\", alpha=\"0.13\", expect_size=\"8998912\"] \n  23 -> 24 [size =\"8998912\"]\n  23 -> 25 [size =\"8998912\"]\n  23 -> 26 [size =\"8998912\"]\n  24 [size=\"122490880\", alpha=\"0.06\", expect_size=\"36747264\"] \n  24 -> 27 [size =\"36747264\"]\n  24 -> 29 [size =\"36747264\"]\n  25 [size=\"104075947\", alpha=\"0.03\", expect_size=\"31222784\"] \n  25 -> 28 [size =\"31222784\"]\n  25 -> 29 [size =\"31222784\"]\n  26 [size=\"104396800\", alpha=\"0.11\", expect_size=\"31319040\"] \n  26 -> 27 [size =\"31319040\"]\n  26 -> 28 [size =\"31319040\"]\n  27 [size=\"149534720\", alpha=\"0.02\", expect_size=\"44860416\"] \n  27 -> 30 [size =\"44860416\"]\n  27 -> 31 [size =\"44860416\"]\n  28 [size=\"61450240\", alpha=\"0.15\", expect_size=\"18435072\"] \n  29 [size=\"131990187\", alpha=\"0.05\", expect_size=\"39597056\"] \n  29 -> 30 [size =\"39597056\"]\n  29 -> 31 [size =\"39597056\"]\n  30 [size=\"151313067\", alpha=\"0.20\", expect_size=\"45393920\"] \n  30 -> 32 [size =\"45393920\"]\n  30 -> 33 [size =\"45393920\"]\n  31 [size=\"155842560\", alpha=\"0.16\", expect_size=\"46752768\"] \n  31 -> 32 [size =\"46752768\"]\n  31 -> 33 [size =\"46752768\"]\n  32 [size=\"51831467\", alpha=\"0.05\", expect_size=\"15549440\"] \n  33 [size=\"131229013\", alpha=\"0.12\", expect_size=\"39368704\"] \n  33 -> 34 [size =\"39368704\"]\n  33 -> 35 [size =\"39368704\"]\n  34 [size=\"73393493\", alpha=\"0.01\", expect_size=\"22018048\"] \n  34 -> 36 [size =\"22018048\"]\n  34 -> 38 [size =\"22018048\"]\n  35 [size=\"122695680\", alpha=\"0.10\", expect_size=\"36808704\"] \n  35 -> 37 [size =\"36808704\"]\n  36 [size=\"143534080\", alpha=\"0.18\", expect_size=\"43060224\"] \n  36 -> 39 [size =\"43060224\"]\n  37 [size=\"73557333\", alpha=\"0.17\", expect_size=\"22067200\"] \n  37 -> 39 [size =\"22067200\"]\n  38 [size=\"87063893\", alpha=\"0.14\", expect_size=\"26119168\"] \n  38 -> 40 [size =\"26119168\"]\n  39 [size=\"48718507\", alpha=\"0.03\", expect_size=\"14615552\"] \n  40 [size=\"89613653\", alpha=\"0.04\", expect_size=\"26884096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50342400\", alpha=\"0.19\", expect_size=\"20136960\"] \n  1 -> 4 [size =\"20136960\"]\n  1 -> 5 [size =\"20136960\"]\n  2 [size=\"57446400\", alpha=\"0.16\", expect_size=\"22978560\"] \n  2 -> 4 [size =\"22978560\"]\n  3 [size=\"129937920\", alpha=\"0.09\", expect_size=\"51975168\"] \n  3 -> 4 [size =\"51975168\"]\n  4 [size=\"26091520\", alpha=\"0.15\", expect_size=\"10436608\"] \n  4 -> 6 [size =\"10436608\"]\n  4 -> 7 [size =\"10436608\"]\n  4 -> 8 [size =\"10436608\"]\n  5 [size=\"109703680\", alpha=\"0.05\", expect_size=\"43881472\"] \n  5 -> 6 [size =\"43881472\"]\n  5 -> 8 [size =\"43881472\"]\n  6 [size=\"37058560\", alpha=\"0.15\", expect_size=\"14823424\"] \n  6 -> 9 [size =\"14823424\"]\n  6 -> 10 [size =\"14823424\"]\n  6 -> 11 [size =\"14823424\"]\n  7 [size=\"13847040\", alpha=\"0.10\", expect_size=\"5538816\"] \n  7 -> 9 [size =\"5538816\"]\n  7 -> 10 [size =\"5538816\"]\n  7 -> 11 [size =\"5538816\"]\n  8 [size=\"89515520\", alpha=\"0.09\", expect_size=\"35806208\"] \n  8 -> 10 [size =\"35806208\"]\n  9 [size=\"84620800\", alpha=\"0.13\", expect_size=\"33848320\"] \n  9 -> 12 [size =\"33848320\"]\n  9 -> 13 [size =\"33848320\"]\n  9 -> 14 [size =\"33848320\"]\n  10 [size=\"49497600\", alpha=\"0.20\", expect_size=\"19799040\"] \n  10 -> 12 [size =\"19799040\"]\n  10 -> 13 [size =\"19799040\"]\n  10 -> 14 [size =\"19799040\"]\n  11 [size=\"20976640\", alpha=\"0.15\", expect_size=\"8390656\"] \n  11 -> 13 [size =\"8390656\"]\n  11 -> 14 [size =\"8390656\"]\n  12 [size=\"17415680\", alpha=\"0.09\", expect_size=\"6966272\"] \n  12 -> 15 [size =\"6966272\"]\n  12 -> 16 [size =\"6966272\"]\n  13 [size=\"113006080\", alpha=\"0.17\", expect_size=\"45202432\"] \n  13 -> 15 [size =\"45202432\"]\n  13 -> 16 [size =\"45202432\"]\n  14 [size=\"47859200\", alpha=\"0.17\", expect_size=\"19143680\"] \n  14 -> 15 [size =\"19143680\"]\n  14 -> 16 [size =\"19143680\"]\n  14 -> 17 [size =\"19143680\"]\n  15 [size=\"16133120\", alpha=\"0.14\", expect_size=\"6453248\"] \n  15 -> 19 [size =\"6453248\"]\n  16 [size=\"47567360\", alpha=\"0.05\", expect_size=\"19026944\"] \n  16 -> 18 [size =\"19026944\"]\n  17 [size=\"19502080\", alpha=\"0.08\", expect_size=\"7800832\"] \n  18 [size=\"78781440\", alpha=\"0.17\", expect_size=\"31512576\"] \n  18 -> 20 [size =\"31512576\"]\n  18 -> 21 [size =\"31512576\"]\n  18 -> 22 [size =\"31512576\"]\n  19 [size=\"14292480\", alpha=\"0.03\", expect_size=\"5716992\"] \n  19 -> 21 [size =\"5716992\"]\n  19 -> 22 [size =\"5716992\"]\n  20 [size=\"90316800\", alpha=\"0.04\", expect_size=\"36126720\"] \n  20 -> 23 [size =\"36126720\"]\n  20 -> 25 [size =\"36126720\"]\n  21 [size=\"88808960\", alpha=\"0.10\", expect_size=\"35523584\"] \n  21 -> 24 [size =\"35523584\"]\n  21 -> 25 [size =\"35523584\"]\n  22 [size=\"60938240\", alpha=\"0.04\", expect_size=\"24375296\"] \n  22 -> 23 [size =\"24375296\"]\n  22 -> 24 [size =\"24375296\"]\n  22 -> 25 [size =\"24375296\"]\n  23 [size=\"114595840\", alpha=\"0.18\", expect_size=\"45838336\"] \n  23 -> 26 [size =\"45838336\"]\n  23 -> 27 [size =\"45838336\"]\n  23 -> 28 [size =\"45838336\"]\n  24 [size=\"95208960\", alpha=\"0.14\", expect_size=\"38083584\"] \n  24 -> 27 [size =\"38083584\"]\n  24 -> 28 [size =\"38083584\"]\n  24 -> 28 [size =\"38083584\"]\n  25 [size=\"79237120\", alpha=\"0.06\", expect_size=\"31694848\"] \n  26 [size=\"44761600\", alpha=\"0.03\", expect_size=\"17904640\"] \n  26 -> 29 [size =\"17904640\"]\n  26 -> 30 [size =\"17904640\"]\n  27 [size=\"72796160\", alpha=\"0.20\", expect_size=\"29118464\"] \n  27 -> 29 [size =\"29118464\"]\n  27 -> 30 [size =\"29118464\"]\n  28 [size=\"122032640\", alpha=\"0.09\", expect_size=\"48813056\"] \n  28 -> 29 [size =\"48813056\"]\n  28 -> 30 [size =\"48813056\"]\n  29 [size=\"105136640\", alpha=\"0.11\", expect_size=\"42054656\"] \n  29 -> 31 [size =\"42054656\"]\n  29 -> 33 [size =\"42054656\"]\n  30 [size=\"124817920\", alpha=\"0.19\", expect_size=\"49927168\"] \n  30 -> 31 [size =\"49927168\"]\n  30 -> 32 [size =\"49927168\"]\n  30 -> 33 [size =\"49927168\"]\n  31 [size=\"27745280\", alpha=\"0.08\", expect_size=\"11098112\"] \n  31 -> 34 [size =\"11098112\"]\n  31 -> 35 [size =\"11098112\"]\n  32 [size=\"87086080\", alpha=\"0.18\", expect_size=\"34834432\"] \n  32 -> 34 [size =\"34834432\"]\n  32 -> 35 [size =\"34834432\"]\n  32 -> 36 [size =\"34834432\"]\n  33 [size=\"111252480\", alpha=\"0.05\", expect_size=\"44500992\"] \n  33 -> 34 [size =\"44500992\"]\n  33 -> 35 [size =\"44500992\"]\n  34 [size=\"99107840\", alpha=\"0.17\", expect_size=\"39643136\"] \n  34 -> 37 [size =\"39643136\"]\n  34 -> 38 [size =\"39643136\"]\n  35 [size=\"63636480\", alpha=\"0.11\", expect_size=\"25454592\"] \n  35 -> 37 [size =\"25454592\"]\n  35 -> 38 [size =\"25454592\"]\n  36 [size=\"101440000\", alpha=\"0.10\", expect_size=\"40576000\"] \n  36 -> 37 [size =\"40576000\"]\n  37 [size=\"118502400\", alpha=\"0.10\", expect_size=\"47400960\"] \n  37 -> 39 [size =\"47400960\"]\n  37 -> 40 [size =\"47400960\"]\n  38 [size=\"115568640\", alpha=\"0.01\", expect_size=\"46227456\"] \n  38 -> 39 [size =\"46227456\"]\n  38 -> 40 [size =\"46227456\"]\n  39 [size=\"51079680\", alpha=\"0.13\", expect_size=\"20431872\"] \n  40 [size=\"114521600\", alpha=\"0.17\", expect_size=\"45808640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20769280\", alpha=\"0.14\", expect_size=\"8307712\"] \n  1 -> 7 [size =\"8307712\"]\n  1 -> 9 [size =\"8307712\"]\n  1 -> 10 [size =\"8307712\"]\n  1 -> 11 [size =\"8307712\"]\n  2 [size=\"15554560\", alpha=\"0.19\", expect_size=\"6221824\"] \n  2 -> 8 [size =\"6221824\"]\n  2 -> 9 [size =\"6221824\"]\n  2 -> 10 [size =\"6221824\"]\n  2 -> 11 [size =\"6221824\"]\n  2 -> 12 [size =\"6221824\"]\n  3 [size=\"40865280\", alpha=\"0.13\", expect_size=\"16346112\"] \n  3 -> 7 [size =\"16346112\"]\n  3 -> 9 [size =\"16346112\"]\n  3 -> 10 [size =\"16346112\"]\n  3 -> 11 [size =\"16346112\"]\n  4 [size=\"130035200\", alpha=\"0.00\", expect_size=\"52014080\"] \n  4 -> 7 [size =\"52014080\"]\n  4 -> 9 [size =\"52014080\"]\n  4 -> 10 [size =\"52014080\"]\n  4 -> 11 [size =\"52014080\"]\n  5 [size=\"65815040\", alpha=\"0.16\", expect_size=\"26326016\"] \n  5 -> 9 [size =\"26326016\"]\n  5 -> 11 [size =\"26326016\"]\n  6 [size=\"93373440\", alpha=\"0.10\", expect_size=\"37349376\"] \n  6 -> 8 [size =\"37349376\"]\n  6 -> 10 [size =\"37349376\"]\n  6 -> 11 [size =\"37349376\"]\n  7 [size=\"88547840\", alpha=\"0.10\", expect_size=\"35419136\"] \n  7 -> 13 [size =\"35419136\"]\n  7 -> 14 [size =\"35419136\"]\n  7 -> 16 [size =\"35419136\"]\n  7 -> 17 [size =\"35419136\"]\n  7 -> 18 [size =\"35419136\"]\n  8 [size=\"58086400\", alpha=\"0.08\", expect_size=\"23234560\"] \n  8 -> 15 [size =\"23234560\"]\n  8 -> 16 [size =\"23234560\"]\n  8 -> 17 [size =\"23234560\"]\n  8 -> 18 [size =\"23234560\"]\n  9 [size=\"36812800\", alpha=\"0.04\", expect_size=\"14725120\"] \n  9 -> 13 [size =\"14725120\"]\n  9 -> 16 [size =\"14725120\"]\n  10 [size=\"49320960\", alpha=\"0.14\", expect_size=\"19728384\"] \n  10 -> 13 [size =\"19728384\"]\n  10 -> 17 [size =\"19728384\"]\n  11 [size=\"112778240\", alpha=\"0.14\", expect_size=\"45111296\"] \n  11 -> 13 [size =\"45111296\"]\n  11 -> 14 [size =\"45111296\"]\n  11 -> 16 [size =\"45111296\"]\n  11 -> 17 [size =\"45111296\"]\n  11 -> 18 [size =\"45111296\"]\n  12 [size=\"78164480\", alpha=\"0.04\", expect_size=\"31265792\"] \n  12 -> 13 [size =\"31265792\"]\n  12 -> 16 [size =\"31265792\"]\n  12 -> 16 [size =\"31265792\"]\n  12 -> 17 [size =\"31265792\"]\n  12 -> 18 [size =\"31265792\"]\n  13 [size=\"71344640\", alpha=\"0.09\", expect_size=\"28537856\"] \n  13 -> 20 [size =\"28537856\"]\n  13 -> 22 [size =\"28537856\"]\n  14 [size=\"28259840\", alpha=\"0.14\", expect_size=\"11303936\"] \n  14 -> 19 [size =\"11303936\"]\n  14 -> 23 [size =\"11303936\"]\n  15 [size=\"29304320\", alpha=\"0.06\", expect_size=\"11721728\"] \n  15 -> 19 [size =\"11721728\"]\n  15 -> 20 [size =\"11721728\"]\n  15 -> 21 [size =\"11721728\"]\n  15 -> 23 [size =\"11721728\"]\n  16 [size=\"121221120\", alpha=\"0.07\", expect_size=\"48488448\"] \n  16 -> 19 [size =\"48488448\"]\n  16 -> 20 [size =\"48488448\"]\n  16 -> 21 [size =\"48488448\"]\n  16 -> 23 [size =\"48488448\"]\n  17 [size=\"59740160\", alpha=\"0.11\", expect_size=\"23896064\"] \n  17 -> 19 [size =\"23896064\"]\n  17 -> 21 [size =\"23896064\"]\n  17 -> 22 [size =\"23896064\"]\n  17 -> 23 [size =\"23896064\"]\n  17 -> 24 [size =\"23896064\"]\n  18 [size=\"120785920\", alpha=\"0.19\", expect_size=\"48314368\"] \n  18 -> 19 [size =\"48314368\"]\n  18 -> 20 [size =\"48314368\"]\n  18 -> 21 [size =\"48314368\"]\n  18 -> 23 [size =\"48314368\"]\n  19 [size=\"52198400\", alpha=\"0.06\", expect_size=\"20879360\"] \n  19 -> 27 [size =\"20879360\"]\n  19 -> 29 [size =\"20879360\"]\n  20 [size=\"76451840\", alpha=\"0.14\", expect_size=\"30580736\"] \n  20 -> 27 [size =\"30580736\"]\n  21 [size=\"39121920\", alpha=\"0.03\", expect_size=\"15648768\"] \n  21 -> 27 [size =\"15648768\"]\n  21 -> 29 [size =\"15648768\"]\n  22 [size=\"123942400\", alpha=\"0.13\", expect_size=\"49576960\"] \n  22 -> 27 [size =\"49576960\"]\n  22 -> 28 [size =\"49576960\"]\n  22 -> 29 [size =\"49576960\"]\n  23 [size=\"31495680\", alpha=\"0.07\", expect_size=\"12598272\"] \n  23 -> 25 [size =\"12598272\"]\n  23 -> 26 [size =\"12598272\"]\n  23 -> 27 [size =\"12598272\"]\n  23 -> 28 [size =\"12598272\"]\n  23 -> 29 [size =\"12598272\"]\n  24 [size=\"83927040\", alpha=\"0.02\", expect_size=\"33570816\"] \n  24 -> 26 [size =\"33570816\"]\n  24 -> 29 [size =\"33570816\"]\n  25 [size=\"48381440\", alpha=\"0.05\", expect_size=\"19352576\"] \n  25 -> 30 [size =\"19352576\"]\n  25 -> 32 [size =\"19352576\"]\n  25 -> 33 [size =\"19352576\"]\n  25 -> 34 [size =\"19352576\"]\n  26 [size=\"82329600\", alpha=\"0.02\", expect_size=\"32931840\"] \n  26 -> 31 [size =\"32931840\"]\n  26 -> 33 [size =\"32931840\"]\n  26 -> 34 [size =\"32931840\"]\n  27 [size=\"123069440\", alpha=\"0.11\", expect_size=\"49227776\"] \n  27 -> 30 [size =\"49227776\"]\n  27 -> 33 [size =\"49227776\"]\n  27 -> 34 [size =\"49227776\"]\n  28 [size=\"68943360\", alpha=\"0.09\", expect_size=\"27577344\"] \n  28 -> 31 [size =\"27577344\"]\n  28 -> 33 [size =\"27577344\"]\n  28 -> 34 [size =\"27577344\"]\n  29 [size=\"64158720\", alpha=\"0.10\", expect_size=\"25663488\"] \n  29 -> 30 [size =\"25663488\"]\n  29 -> 31 [size =\"25663488\"]\n  29 -> 33 [size =\"25663488\"]\n  29 -> 34 [size =\"25663488\"]\n  30 [size=\"97533440\", alpha=\"0.17\", expect_size=\"39013376\"] \n  30 -> 35 [size =\"39013376\"]\n  30 -> 37 [size =\"39013376\"]\n  30 -> 38 [size =\"39013376\"]\n  31 [size=\"60441600\", alpha=\"0.02\", expect_size=\"24176640\"] \n  31 -> 36 [size =\"24176640\"]\n  31 -> 39 [size =\"24176640\"]\n  32 [size=\"78515200\", alpha=\"0.17\", expect_size=\"31406080\"] \n  32 -> 36 [size =\"31406080\"]\n  32 -> 37 [size =\"31406080\"]\n  32 -> 38 [size =\"31406080\"]\n  33 [size=\"36231680\", alpha=\"0.02\", expect_size=\"14492672\"] \n  33 -> 36 [size =\"14492672\"]\n  33 -> 37 [size =\"14492672\"]\n  33 -> 38 [size =\"14492672\"]\n  34 [size=\"79321600\", alpha=\"0.10\", expect_size=\"31728640\"] \n  34 -> 36 [size =\"31728640\"]\n  34 -> 38 [size =\"31728640\"]\n  34 -> 38 [size =\"31728640\"]\n  35 [size=\"88783360\", alpha=\"0.00\", expect_size=\"35513344\"] \n  35 -> 40 [size =\"35513344\"]\n  36 [size=\"117324800\", alpha=\"0.09\", expect_size=\"46929920\"] \n  36 -> 40 [size =\"46929920\"]\n  37 [size=\"127249920\", alpha=\"0.06\", expect_size=\"50899968\"] \n  37 -> 40 [size =\"50899968\"]\n  38 [size=\"76034560\", alpha=\"0.01\", expect_size=\"30413824\"] \n  39 [size=\"126627840\", alpha=\"0.03\", expect_size=\"50651136\"] \n  39 -> 40 [size =\"50651136\"]\n  40 [size=\"66800640\", alpha=\"0.15\", expect_size=\"26720256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45107200\", alpha=\"0.05\", expect_size=\"13532160\"] \n  1 -> 4 [size =\"13532160\"]\n  1 -> 5 [size =\"13532160\"]\n  1 -> 7 [size =\"13532160\"]\n  2 [size=\"150282240\", alpha=\"0.01\", expect_size=\"45084672\"] \n  2 -> 5 [size =\"45084672\"]\n  3 [size=\"51828053\", alpha=\"0.20\", expect_size=\"15548416\"] \n  3 -> 4 [size =\"15548416\"]\n  3 -> 6 [size =\"15548416\"]\n  3 -> 8 [size =\"15548416\"]\n  3 -> 9 [size =\"15548416\"]\n  4 [size=\"20578987\", alpha=\"0.07\", expect_size=\"6173696\"] \n  4 -> 10 [size =\"6173696\"]\n  4 -> 12 [size =\"6173696\"]\n  5 [size=\"110530560\", alpha=\"0.14\", expect_size=\"33159168\"] \n  5 -> 12 [size =\"33159168\"]\n  6 [size=\"83988480\", alpha=\"0.09\", expect_size=\"25196544\"] \n  6 -> 11 [size =\"25196544\"]\n  6 -> 12 [size =\"25196544\"]\n  7 [size=\"105461760\", alpha=\"0.14\", expect_size=\"31638528\"] \n  7 -> 10 [size =\"31638528\"]\n  8 [size=\"97604267\", alpha=\"0.16\", expect_size=\"29281280\"] \n  8 -> 10 [size =\"29281280\"]\n  8 -> 11 [size =\"29281280\"]\n  8 -> 12 [size =\"29281280\"]\n  9 [size=\"41912320\", alpha=\"0.05\", expect_size=\"12573696\"] \n  9 -> 10 [size =\"12573696\"]\n  10 [size=\"37850453\", alpha=\"0.09\", expect_size=\"11355136\"] \n  10 -> 13 [size =\"11355136\"]\n  10 -> 14 [size =\"11355136\"]\n  10 -> 17 [size =\"11355136\"]\n  11 [size=\"136625493\", alpha=\"0.13\", expect_size=\"40987648\"] \n  11 -> 14 [size =\"40987648\"]\n  11 -> 15 [size =\"40987648\"]\n  11 -> 17 [size =\"40987648\"]\n  12 [size=\"172090027\", alpha=\"0.09\", expect_size=\"51627008\"] \n  12 -> 14 [size =\"51627008\"]\n  12 -> 15 [size =\"51627008\"]\n  12 -> 16 [size =\"51627008\"]\n  12 -> 17 [size =\"51627008\"]\n  13 [size=\"21971627\", alpha=\"0.02\", expect_size=\"6591488\"] \n  13 -> 18 [size =\"6591488\"]\n  13 -> 20 [size =\"6591488\"]\n  13 -> 21 [size =\"6591488\"]\n  13 -> 25 [size =\"6591488\"]\n  14 [size=\"21602987\", alpha=\"0.05\", expect_size=\"6480896\"] \n  14 -> 19 [size =\"6480896\"]\n  14 -> 20 [size =\"6480896\"]\n  14 -> 21 [size =\"6480896\"]\n  14 -> 22 [size =\"6480896\"]\n  14 -> 23 [size =\"6480896\"]\n  14 -> 24 [size =\"6480896\"]\n  15 [size=\"73826987\", alpha=\"0.19\", expect_size=\"22148096\"] \n  15 -> 23 [size =\"22148096\"]\n  15 -> 24 [size =\"22148096\"]\n  16 [size=\"24132267\", alpha=\"0.09\", expect_size=\"7239680\"] \n  16 -> 19 [size =\"7239680\"]\n  16 -> 23 [size =\"7239680\"]\n  16 -> 25 [size =\"7239680\"]\n  17 [size=\"92753920\", alpha=\"0.10\", expect_size=\"27826176\"] \n  17 -> 18 [size =\"27826176\"]\n  17 -> 21 [size =\"27826176\"]\n  17 -> 23 [size =\"27826176\"]\n  17 -> 24 [size =\"27826176\"]\n  18 [size=\"45714773\", alpha=\"0.13\", expect_size=\"13714432\"] \n  18 -> 26 [size =\"13714432\"]\n  18 -> 27 [size =\"13714432\"]\n  18 -> 30 [size =\"13714432\"]\n  18 -> 31 [size =\"13714432\"]\n  19 [size=\"174390613\", alpha=\"0.17\", expect_size=\"52317184\"] \n  19 -> 29 [size =\"52317184\"]\n  20 [size=\"55565653\", alpha=\"0.10\", expect_size=\"16669696\"] \n  20 -> 26 [size =\"16669696\"]\n  20 -> 27 [size =\"16669696\"]\n  20 -> 29 [size =\"16669696\"]\n  20 -> 30 [size =\"16669696\"]\n  21 [size=\"125320533\", alpha=\"0.07\", expect_size=\"37596160\"] \n  21 -> 30 [size =\"37596160\"]\n  22 [size=\"69816320\", alpha=\"0.01\", expect_size=\"20944896\"] \n  22 -> 31 [size =\"20944896\"]\n  23 [size=\"139895467\", alpha=\"0.20\", expect_size=\"41968640\"] \n  23 -> 28 [size =\"41968640\"]\n  24 [size=\"154262187\", alpha=\"0.18\", expect_size=\"46278656\"] \n  24 -> 28 [size =\"46278656\"]\n  25 [size=\"33167360\", alpha=\"0.09\", expect_size=\"9950208\"] \n  25 -> 26 [size =\"9950208\"]\n  25 -> 30 [size =\"9950208\"]\n  26 [size=\"21463040\", alpha=\"0.08\", expect_size=\"6438912\"] \n  26 -> 34 [size =\"6438912\"]\n  26 -> 35 [size =\"6438912\"]\n  27 [size=\"90678613\", alpha=\"0.18\", expect_size=\"27203584\"] \n  27 -> 33 [size =\"27203584\"]\n  27 -> 34 [size =\"27203584\"]\n  27 -> 35 [size =\"27203584\"]\n  28 [size=\"173151573\", alpha=\"0.18\", expect_size=\"51945472\"] \n  28 -> 32 [size =\"51945472\"]\n  28 -> 33 [size =\"51945472\"]\n  28 -> 35 [size =\"51945472\"]\n  29 [size=\"121535147\", alpha=\"0.02\", expect_size=\"36460544\"] \n  29 -> 32 [size =\"36460544\"]\n  30 [size=\"94720000\", alpha=\"0.08\", expect_size=\"28416000\"] \n  30 -> 33 [size =\"28416000\"]\n  30 -> 34 [size =\"28416000\"]\n  31 [size=\"174581760\", alpha=\"0.09\", expect_size=\"52374528\"] \n  31 -> 32 [size =\"52374528\"]\n  31 -> 33 [size =\"52374528\"]\n  31 -> 34 [size =\"52374528\"]\n  31 -> 35 [size =\"52374528\"]\n  32 [size=\"74175147\", alpha=\"0.10\", expect_size=\"22252544\"] \n  32 -> 37 [size =\"22252544\"]\n  32 -> 38 [size =\"22252544\"]\n  32 -> 39 [size =\"22252544\"]\n  32 -> 40 [size =\"22252544\"]\n  33 [size=\"83592533\", alpha=\"0.12\", expect_size=\"25077760\"] \n  33 -> 36 [size =\"25077760\"]\n  33 -> 38 [size =\"25077760\"]\n  33 -> 39 [size =\"25077760\"]\n  34 [size=\"79906133\", alpha=\"0.14\", expect_size=\"23971840\"] \n  34 -> 36 [size =\"23971840\"]\n  34 -> 37 [size =\"23971840\"]\n  34 -> 39 [size =\"23971840\"]\n  34 -> 40 [size =\"23971840\"]\n  35 [size=\"66215253\", alpha=\"0.03\", expect_size=\"19864576\"] \n  35 -> 36 [size =\"19864576\"]\n  35 -> 37 [size =\"19864576\"]\n  35 -> 40 [size =\"19864576\"]\n  36 [size=\"135577600\", alpha=\"0.13\", expect_size=\"40673280\"] \n  37 [size=\"39932587\", alpha=\"0.12\", expect_size=\"11979776\"] \n  38 [size=\"24558933\", alpha=\"0.16\", expect_size=\"7367680\"] \n  39 [size=\"169577813\", alpha=\"0.19\", expect_size=\"50873344\"] \n  40 [size=\"27569493\", alpha=\"0.07\", expect_size=\"8270848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42784768\", alpha=\"0.08\", expect_size=\"21392384\"] \n  1 -> 16 [size =\"21392384\"]\n  1 -> 19 [size =\"21392384\"]\n  1 -> 22 [size =\"21392384\"]\n  2 [size=\"31080448\", alpha=\"0.18\", expect_size=\"15540224\"] \n  2 -> 16 [size =\"15540224\"]\n  2 -> 21 [size =\"15540224\"]\n  2 -> 23 [size =\"15540224\"]\n  3 [size=\"33589248\", alpha=\"0.12\", expect_size=\"16794624\"] \n  3 -> 17 [size =\"16794624\"]\n  3 -> 20 [size =\"16794624\"]\n  3 -> 22 [size =\"16794624\"]\n  3 -> 23 [size =\"16794624\"]\n  3 -> 27 [size =\"16794624\"]\n  4 [size=\"24629248\", alpha=\"0.01\", expect_size=\"12314624\"] \n  4 -> 16 [size =\"12314624\"]\n  4 -> 17 [size =\"12314624\"]\n  4 -> 18 [size =\"12314624\"]\n  5 [size=\"44654592\", alpha=\"0.01\", expect_size=\"22327296\"] \n  5 -> 17 [size =\"22327296\"]\n  5 -> 18 [size =\"22327296\"]\n  5 -> 23 [size =\"22327296\"]\n  5 -> 26 [size =\"22327296\"]\n  6 [size=\"72534016\", alpha=\"0.16\", expect_size=\"36267008\"] \n  6 -> 17 [size =\"36267008\"]\n  6 -> 18 [size =\"36267008\"]\n  6 -> 19 [size =\"36267008\"]\n  6 -> 22 [size =\"36267008\"]\n  6 -> 26 [size =\"36267008\"]\n  7 [size=\"66373632\", alpha=\"0.20\", expect_size=\"33186816\"] \n  7 -> 16 [size =\"33186816\"]\n  7 -> 17 [size =\"33186816\"]\n  7 -> 18 [size =\"33186816\"]\n  7 -> 19 [size =\"33186816\"]\n  7 -> 24 [size =\"33186816\"]\n  7 -> 26 [size =\"33186816\"]\n  8 [size=\"48076800\", alpha=\"0.10\", expect_size=\"24038400\"] \n  8 -> 17 [size =\"24038400\"]\n  8 -> 19 [size =\"24038400\"]\n  8 -> 20 [size =\"24038400\"]\n  8 -> 22 [size =\"24038400\"]\n  8 -> 27 [size =\"24038400\"]\n  9 [size=\"47339520\", alpha=\"0.18\", expect_size=\"23669760\"] \n  9 -> 16 [size =\"23669760\"]\n  9 -> 19 [size =\"23669760\"]\n  9 -> 27 [size =\"23669760\"]\n  10 [size=\"31787008\", alpha=\"0.20\", expect_size=\"15893504\"] \n  10 -> 16 [size =\"15893504\"]\n  10 -> 19 [size =\"15893504\"]\n  10 -> 22 [size =\"15893504\"]\n  10 -> 25 [size =\"15893504\"]\n  11 [size=\"38217728\", alpha=\"0.09\", expect_size=\"19108864\"] \n  11 -> 22 [size =\"19108864\"]\n  11 -> 26 [size =\"19108864\"]\n  12 [size=\"78118912\", alpha=\"0.15\", expect_size=\"39059456\"] \n  12 -> 18 [size =\"39059456\"]\n  12 -> 21 [size =\"39059456\"]\n  12 -> 23 [size =\"39059456\"]\n  12 -> 25 [size =\"39059456\"]\n  12 -> 26 [size =\"39059456\"]\n  12 -> 27 [size =\"39059456\"]\n  13 [size=\"66324480\", alpha=\"0.08\", expect_size=\"33162240\"] \n  13 -> 18 [size =\"33162240\"]\n  13 -> 23 [size =\"33162240\"]\n  13 -> 26 [size =\"33162240\"]\n  14 [size=\"28901376\", alpha=\"0.12\", expect_size=\"14450688\"] \n  14 -> 17 [size =\"14450688\"]\n  14 -> 18 [size =\"14450688\"]\n  14 -> 19 [size =\"14450688\"]\n  14 -> 23 [size =\"14450688\"]\n  14 -> 27 [size =\"14450688\"]\n  15 [size=\"35295232\", alpha=\"0.03\", expect_size=\"17647616\"] \n  15 -> 18 [size =\"17647616\"]\n  15 -> 19 [size =\"17647616\"]\n  15 -> 21 [size =\"17647616\"]\n  15 -> 25 [size =\"17647616\"]\n  15 -> 27 [size =\"17647616\"]\n  16 [size=\"37969920\", alpha=\"0.08\", expect_size=\"18984960\"] \n  16 -> 30 [size =\"18984960\"]\n  16 -> 31 [size =\"18984960\"]\n  16 -> 32 [size =\"18984960\"]\n  16 -> 37 [size =\"18984960\"]\n  17 [size=\"19802112\", alpha=\"0.11\", expect_size=\"9901056\"] \n  17 -> 28 [size =\"9901056\"]\n  17 -> 33 [size =\"9901056\"]\n  17 -> 34 [size =\"9901056\"]\n  17 -> 37 [size =\"9901056\"]\n  18 [size=\"17682432\", alpha=\"0.01\", expect_size=\"8841216\"] \n  18 -> 34 [size =\"8841216\"]\n  18 -> 36 [size =\"8841216\"]\n  19 [size=\"62930944\", alpha=\"0.14\", expect_size=\"31465472\"] \n  19 -> 31 [size =\"31465472\"]\n  19 -> 34 [size =\"31465472\"]\n  19 -> 36 [size =\"31465472\"]\n  19 -> 37 [size =\"31465472\"]\n  20 [size=\"51982336\", alpha=\"0.16\", expect_size=\"25991168\"] \n  20 -> 28 [size =\"25991168\"]\n  20 -> 31 [size =\"25991168\"]\n  20 -> 32 [size =\"25991168\"]\n  20 -> 34 [size =\"25991168\"]\n  20 -> 35 [size =\"25991168\"]\n  20 -> 36 [size =\"25991168\"]\n  21 [size=\"51941376\", alpha=\"0.05\", expect_size=\"25970688\"] \n  21 -> 28 [size =\"25970688\"]\n  21 -> 35 [size =\"25970688\"]\n  21 -> 36 [size =\"25970688\"]\n  22 [size=\"95516672\", alpha=\"0.18\", expect_size=\"47758336\"] \n  22 -> 29 [size =\"47758336\"]\n  22 -> 32 [size =\"47758336\"]\n  22 -> 35 [size =\"47758336\"]\n  22 -> 36 [size =\"47758336\"]\n  23 [size=\"71759872\", alpha=\"0.16\", expect_size=\"35879936\"] \n  23 -> 32 [size =\"35879936\"]\n  23 -> 34 [size =\"35879936\"]\n  23 -> 36 [size =\"35879936\"]\n  24 [size=\"16660480\", alpha=\"0.18\", expect_size=\"8330240\"] \n  24 -> 28 [size =\"8330240\"]\n  24 -> 32 [size =\"8330240\"]\n  24 -> 34 [size =\"8330240\"]\n  25 [size=\"74919936\", alpha=\"0.06\", expect_size=\"37459968\"] \n  25 -> 28 [size =\"37459968\"]\n  25 -> 32 [size =\"37459968\"]\n  25 -> 36 [size =\"37459968\"]\n  25 -> 37 [size =\"37459968\"]\n  26 [size=\"90490880\", alpha=\"0.08\", expect_size=\"45245440\"] \n  26 -> 28 [size =\"45245440\"]\n  26 -> 37 [size =\"45245440\"]\n  27 [size=\"33918976\", alpha=\"0.01\", expect_size=\"16959488\"] \n  27 -> 28 [size =\"16959488\"]\n  27 -> 35 [size =\"16959488\"]\n  27 -> 37 [size =\"16959488\"]\n  28 [size=\"87203840\", alpha=\"0.03\", expect_size=\"43601920\"] \n  28 -> 38 [size =\"43601920\"]\n  29 [size=\"91203584\", alpha=\"0.12\", expect_size=\"45601792\"] \n  29 -> 38 [size =\"45601792\"]\n  30 [size=\"60829696\", alpha=\"0.06\", expect_size=\"30414848\"] \n  31 [size=\"40626176\", alpha=\"0.05\", expect_size=\"20313088\"] \n  32 [size=\"62889984\", alpha=\"0.19\", expect_size=\"31444992\"] \n  33 [size=\"53846016\", alpha=\"0.05\", expect_size=\"26923008\"] \n  34 [size=\"36599808\", alpha=\"0.15\", expect_size=\"18299904\"] \n  34 -> 38 [size =\"18299904\"]\n  34 -> 40 [size =\"18299904\"]\n  35 [size=\"25294848\", alpha=\"0.10\", expect_size=\"12647424\"] \n  35 -> 38 [size =\"12647424\"]\n  36 [size=\"54102016\", alpha=\"0.11\", expect_size=\"27051008\"] \n  36 -> 38 [size =\"27051008\"]\n  36 -> 39 [size =\"27051008\"]\n  37 [size=\"90697728\", alpha=\"0.14\", expect_size=\"45348864\"] \n  37 -> 38 [size =\"45348864\"]\n  37 -> 40 [size =\"45348864\"]\n  38 [size=\"96595968\", alpha=\"0.18\", expect_size=\"48297984\"] \n  39 [size=\"15020032\", alpha=\"0.13\", expect_size=\"7510016\"] \n  40 [size=\"71565312\", alpha=\"0.18\", expect_size=\"35782656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48654336\", alpha=\"0.15\", expect_size=\"24327168\"] \n  1 -> 11 [size =\"24327168\"]\n  2 [size=\"10518528\", alpha=\"0.15\", expect_size=\"5259264\"] \n  3 [size=\"76085248\", alpha=\"0.05\", expect_size=\"38042624\"] \n  4 [size=\"66105344\", alpha=\"0.10\", expect_size=\"33052672\"] \n  4 -> 7 [size =\"33052672\"]\n  4 -> 10 [size =\"33052672\"]\n  5 [size=\"95074304\", alpha=\"0.10\", expect_size=\"47537152\"] \n  5 -> 8 [size =\"47537152\"]\n  6 [size=\"97851392\", alpha=\"0.07\", expect_size=\"48925696\"] \n  6 -> 9 [size =\"48925696\"]\n  6 -> 10 [size =\"48925696\"]\n  7 [size=\"97359872\", alpha=\"0.12\", expect_size=\"48679936\"] \n  7 -> 13 [size =\"48679936\"]\n  7 -> 14 [size =\"48679936\"]\n  7 -> 16 [size =\"48679936\"]\n  7 -> 17 [size =\"48679936\"]\n  8 [size=\"85149696\", alpha=\"0.03\", expect_size=\"42574848\"] \n  8 -> 12 [size =\"42574848\"]\n  8 -> 13 [size =\"42574848\"]\n  8 -> 16 [size =\"42574848\"]\n  9 [size=\"19390464\", alpha=\"0.07\", expect_size=\"9695232\"] \n  9 -> 12 [size =\"9695232\"]\n  9 -> 13 [size =\"9695232\"]\n  9 -> 17 [size =\"9695232\"]\n  10 [size=\"86964224\", alpha=\"0.20\", expect_size=\"43482112\"] \n  10 -> 17 [size =\"43482112\"]\n  11 [size=\"69478400\", alpha=\"0.11\", expect_size=\"34739200\"] \n  11 -> 12 [size =\"34739200\"]\n  11 -> 13 [size =\"34739200\"]\n  11 -> 15 [size =\"34739200\"]\n  11 -> 16 [size =\"34739200\"]\n  11 -> 17 [size =\"34739200\"]\n  12 [size=\"47861760\", alpha=\"0.19\", expect_size=\"23930880\"] \n  12 -> 21 [size =\"23930880\"]\n  13 [size=\"25341952\", alpha=\"0.19\", expect_size=\"12670976\"] \n  13 -> 19 [size =\"12670976\"]\n  13 -> 21 [size =\"12670976\"]\n  14 [size=\"47433728\", alpha=\"0.17\", expect_size=\"23716864\"] \n  14 -> 18 [size =\"23716864\"]\n  14 -> 19 [size =\"23716864\"]\n  14 -> 21 [size =\"23716864\"]\n  14 -> 22 [size =\"23716864\"]\n  15 [size=\"93759488\", alpha=\"0.06\", expect_size=\"46879744\"] \n  15 -> 21 [size =\"46879744\"]\n  16 [size=\"47374336\", alpha=\"0.15\", expect_size=\"23687168\"] \n  16 -> 20 [size =\"23687168\"]\n  17 [size=\"82159616\", alpha=\"0.12\", expect_size=\"41079808\"] \n  17 -> 18 [size =\"41079808\"]\n  17 -> 19 [size =\"41079808\"]\n  17 -> 20 [size =\"41079808\"]\n  17 -> 21 [size =\"41079808\"]\n  17 -> 22 [size =\"41079808\"]\n  18 [size=\"43311104\", alpha=\"0.05\", expect_size=\"21655552\"] \n  18 -> 23 [size =\"21655552\"]\n  18 -> 24 [size =\"21655552\"]\n  18 -> 25 [size =\"21655552\"]\n  18 -> 26 [size =\"21655552\"]\n  18 -> 28 [size =\"21655552\"]\n  19 [size=\"56659968\", alpha=\"0.12\", expect_size=\"28329984\"] \n  19 -> 26 [size =\"28329984\"]\n  19 -> 28 [size =\"28329984\"]\n  20 [size=\"89798656\", alpha=\"0.07\", expect_size=\"44899328\"] \n  20 -> 24 [size =\"44899328\"]\n  20 -> 25 [size =\"44899328\"]\n  20 -> 27 [size =\"44899328\"]\n  20 -> 28 [size =\"44899328\"]\n  21 [size=\"89573376\", alpha=\"0.11\", expect_size=\"44786688\"] \n  21 -> 24 [size =\"44786688\"]\n  21 -> 25 [size =\"44786688\"]\n  21 -> 26 [size =\"44786688\"]\n  21 -> 27 [size =\"44786688\"]\n  21 -> 28 [size =\"44786688\"]\n  22 [size=\"46540800\", alpha=\"0.14\", expect_size=\"23270400\"] \n  22 -> 24 [size =\"23270400\"]\n  22 -> 25 [size =\"23270400\"]\n  22 -> 27 [size =\"23270400\"]\n  23 [size=\"42074112\", alpha=\"0.11\", expect_size=\"21037056\"] \n  23 -> 29 [size =\"21037056\"]\n  23 -> 32 [size =\"21037056\"]\n  24 [size=\"36702208\", alpha=\"0.00\", expect_size=\"18351104\"] \n  24 -> 30 [size =\"18351104\"]\n  24 -> 31 [size =\"18351104\"]\n  25 [size=\"23721984\", alpha=\"0.07\", expect_size=\"11860992\"] \n  25 -> 29 [size =\"11860992\"]\n  25 -> 31 [size =\"11860992\"]\n  25 -> 33 [size =\"11860992\"]\n  26 [size=\"50573312\", alpha=\"0.13\", expect_size=\"25286656\"] \n  26 -> 30 [size =\"25286656\"]\n  27 [size=\"25042944\", alpha=\"0.17\", expect_size=\"12521472\"] \n  27 -> 32 [size =\"12521472\"]\n  27 -> 33 [size =\"12521472\"]\n  28 [size=\"82683904\", alpha=\"0.17\", expect_size=\"41341952\"] \n  28 -> 29 [size =\"41341952\"]\n  28 -> 31 [size =\"41341952\"]\n  29 [size=\"11063296\", alpha=\"0.18\", expect_size=\"5531648\"] \n  29 -> 37 [size =\"5531648\"]\n  30 [size=\"67362816\", alpha=\"0.16\", expect_size=\"33681408\"] \n  30 -> 35 [size =\"33681408\"]\n  30 -> 36 [size =\"33681408\"]\n  30 -> 38 [size =\"33681408\"]\n  31 [size=\"101466112\", alpha=\"0.06\", expect_size=\"50733056\"] \n  31 -> 35 [size =\"50733056\"]\n  31 -> 37 [size =\"50733056\"]\n  31 -> 38 [size =\"50733056\"]\n  31 -> 39 [size =\"50733056\"]\n  32 [size=\"57174016\", alpha=\"0.05\", expect_size=\"28587008\"] \n  32 -> 34 [size =\"28587008\"]\n  32 -> 35 [size =\"28587008\"]\n  32 -> 37 [size =\"28587008\"]\n  32 -> 38 [size =\"28587008\"]\n  33 [size=\"28889088\", alpha=\"0.06\", expect_size=\"14444544\"] \n  33 -> 36 [size =\"14444544\"]\n  33 -> 37 [size =\"14444544\"]\n  34 [size=\"82212864\", alpha=\"0.15\", expect_size=\"41106432\"] \n  35 [size=\"84021248\", alpha=\"0.02\", expect_size=\"42010624\"] \n  36 [size=\"24532992\", alpha=\"0.17\", expect_size=\"12266496\"] \n  37 [size=\"85487616\", alpha=\"0.07\", expect_size=\"42743808\"] \n  37 -> 40 [size =\"42743808\"]\n  38 [size=\"70643712\", alpha=\"0.04\", expect_size=\"35321856\"] \n  39 [size=\"54665216\", alpha=\"0.11\", expect_size=\"27332608\"] \n  40 [size=\"46458880\", alpha=\"0.14\", expect_size=\"23229440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87108267\", alpha=\"0.07\", expect_size=\"26132480\"] \n  1 -> 5 [size =\"26132480\"]\n  1 -> 6 [size =\"26132480\"]\n  2 [size=\"129972907\", alpha=\"0.16\", expect_size=\"38991872\"] \n  2 -> 6 [size =\"38991872\"]\n  3 [size=\"166816427\", alpha=\"0.08\", expect_size=\"50044928\"] \n  3 -> 6 [size =\"50044928\"]\n  4 [size=\"86459733\", alpha=\"0.09\", expect_size=\"25937920\"] \n  4 -> 6 [size =\"25937920\"]\n  5 [size=\"32460800\", alpha=\"0.12\", expect_size=\"9738240\"] \n  5 -> 7 [size =\"9738240\"]\n  5 -> 8 [size =\"9738240\"]\n  5 -> 9 [size =\"9738240\"]\n  6 [size=\"168970240\", alpha=\"0.06\", expect_size=\"50691072\"] \n  6 -> 7 [size =\"50691072\"]\n  7 [size=\"142496427\", alpha=\"0.08\", expect_size=\"42748928\"] \n  7 -> 10 [size =\"42748928\"]\n  7 -> 12 [size =\"42748928\"]\n  8 [size=\"86401707\", alpha=\"0.12\", expect_size=\"25920512\"] \n  8 -> 10 [size =\"25920512\"]\n  8 -> 12 [size =\"25920512\"]\n  9 [size=\"23336960\", alpha=\"0.15\", expect_size=\"7001088\"] \n  9 -> 11 [size =\"7001088\"]\n  9 -> 12 [size =\"7001088\"]\n  10 [size=\"87012693\", alpha=\"0.15\", expect_size=\"26103808\"] \n  11 [size=\"21760000\", alpha=\"0.15\", expect_size=\"6528000\"] \n  11 -> 13 [size =\"6528000\"]\n  12 [size=\"79578453\", alpha=\"0.02\", expect_size=\"23873536\"] \n  12 -> 13 [size =\"23873536\"]\n  13 [size=\"48155307\", alpha=\"0.10\", expect_size=\"14446592\"] \n  13 -> 14 [size =\"14446592\"]\n  14 [size=\"107335680\", alpha=\"0.05\", expect_size=\"32200704\"] \n  14 -> 15 [size =\"32200704\"]\n  14 -> 16 [size =\"32200704\"]\n  14 -> 17 [size =\"32200704\"]\n  15 [size=\"18380800\", alpha=\"0.10\", expect_size=\"5514240\"] \n  15 -> 18 [size =\"5514240\"]\n  15 -> 19 [size =\"5514240\"]\n  15 -> 20 [size =\"5514240\"]\n  16 [size=\"112093867\", alpha=\"0.02\", expect_size=\"33628160\"] \n  16 -> 19 [size =\"33628160\"]\n  16 -> 20 [size =\"33628160\"]\n  17 [size=\"157651627\", alpha=\"0.14\", expect_size=\"47295488\"] \n  17 -> 18 [size =\"47295488\"]\n  17 -> 19 [size =\"47295488\"]\n  17 -> 20 [size =\"47295488\"]\n  18 [size=\"65310720\", alpha=\"0.01\", expect_size=\"19593216\"] \n  18 -> 21 [size =\"19593216\"]\n  18 -> 22 [size =\"19593216\"]\n  19 [size=\"158071467\", alpha=\"0.08\", expect_size=\"47421440\"] \n  19 -> 21 [size =\"47421440\"]\n  19 -> 22 [size =\"47421440\"]\n  20 [size=\"121323520\", alpha=\"0.00\", expect_size=\"36397056\"] \n  20 -> 21 [size =\"36397056\"]\n  21 [size=\"80032427\", alpha=\"0.02\", expect_size=\"24009728\"] \n  21 -> 23 [size =\"24009728\"]\n  22 [size=\"40990720\", alpha=\"0.18\", expect_size=\"12297216\"] \n  22 -> 23 [size =\"12297216\"]\n  22 -> 24 [size =\"12297216\"]\n  22 -> 25 [size =\"12297216\"]\n  23 [size=\"55893333\", alpha=\"0.13\", expect_size=\"16768000\"] \n  23 -> 26 [size =\"16768000\"]\n  23 -> 27 [size =\"16768000\"]\n  23 -> 28 [size =\"16768000\"]\n  24 [size=\"137089707\", alpha=\"0.17\", expect_size=\"41126912\"] \n  24 -> 26 [size =\"41126912\"]\n  24 -> 27 [size =\"41126912\"]\n  24 -> 29 [size =\"41126912\"]\n  25 [size=\"173380267\", alpha=\"0.02\", expect_size=\"52014080\"] \n  25 -> 26 [size =\"52014080\"]\n  25 -> 27 [size =\"52014080\"]\n  25 -> 28 [size =\"52014080\"]\n  26 [size=\"91122347\", alpha=\"0.07\", expect_size=\"27336704\"] \n  26 -> 30 [size =\"27336704\"]\n  27 [size=\"102942720\", alpha=\"0.08\", expect_size=\"30882816\"] \n  27 -> 31 [size =\"30882816\"]\n  28 [size=\"58811733\", alpha=\"0.18\", expect_size=\"17643520\"] \n  29 [size=\"67054933\", alpha=\"0.08\", expect_size=\"20116480\"] \n  29 -> 30 [size =\"20116480\"]\n  29 -> 31 [size =\"20116480\"]\n  30 [size=\"127160320\", alpha=\"0.07\", expect_size=\"38148096\"] \n  30 -> 32 [size =\"38148096\"]\n  30 -> 33 [size =\"38148096\"]\n  31 [size=\"130614613\", alpha=\"0.07\", expect_size=\"39184384\"] \n  31 -> 32 [size =\"39184384\"]\n  31 -> 33 [size =\"39184384\"]\n  32 [size=\"147053227\", alpha=\"0.14\", expect_size=\"44115968\"] \n  32 -> 34 [size =\"44115968\"]\n  32 -> 35 [size =\"44115968\"]\n  33 [size=\"131689813\", alpha=\"0.06\", expect_size=\"39506944\"] \n  33 -> 34 [size =\"39506944\"]\n  33 -> 35 [size =\"39506944\"]\n  34 [size=\"76578133\", alpha=\"0.09\", expect_size=\"22973440\"] \n  34 -> 36 [size =\"22973440\"]\n  34 -> 37 [size =\"22973440\"]\n  34 -> 38 [size =\"22973440\"]\n  34 -> 39 [size =\"22973440\"]\n  35 [size=\"50705067\", alpha=\"0.12\", expect_size=\"15211520\"] \n  35 -> 37 [size =\"15211520\"]\n  35 -> 38 [size =\"15211520\"]\n  35 -> 39 [size =\"15211520\"]\n  36 [size=\"69051733\", alpha=\"0.07\", expect_size=\"20715520\"] \n  36 -> 40 [size =\"20715520\"]\n  37 [size=\"125832533\", alpha=\"0.20\", expect_size=\"37749760\"] \n  38 [size=\"31491413\", alpha=\"0.19\", expect_size=\"9447424\"] \n  38 -> 40 [size =\"9447424\"]\n  39 [size=\"169530027\", alpha=\"0.15\", expect_size=\"50859008\"] \n  39 -> 40 [size =\"50859008\"]\n  40 [size=\"73949867\", alpha=\"0.05\", expect_size=\"22184960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111878827\", alpha=\"0.16\", expect_size=\"33563648\"] \n  1 -> 4 [size =\"33563648\"]\n  1 -> 5 [size =\"33563648\"]\n  2 [size=\"67601067\", alpha=\"0.11\", expect_size=\"20280320\"] \n  2 -> 4 [size =\"20280320\"]\n  2 -> 5 [size =\"20280320\"]\n  3 [size=\"83517440\", alpha=\"0.08\", expect_size=\"25055232\"] \n  3 -> 4 [size =\"25055232\"]\n  3 -> 5 [size =\"25055232\"]\n  4 [size=\"70174720\", alpha=\"0.16\", expect_size=\"21052416\"] \n  4 -> 6 [size =\"21052416\"]\n  4 -> 7 [size =\"21052416\"]\n  4 -> 8 [size =\"21052416\"]\n  5 [size=\"140765867\", alpha=\"0.18\", expect_size=\"42229760\"] \n  5 -> 6 [size =\"42229760\"]\n  5 -> 7 [size =\"42229760\"]\n  5 -> 8 [size =\"42229760\"]\n  6 [size=\"105076053\", alpha=\"0.14\", expect_size=\"31522816\"] \n  6 -> 9 [size =\"31522816\"]\n  6 -> 11 [size =\"31522816\"]\n  7 [size=\"82104320\", alpha=\"0.11\", expect_size=\"24631296\"] \n  7 -> 9 [size =\"24631296\"]\n  7 -> 10 [size =\"24631296\"]\n  7 -> 11 [size =\"24631296\"]\n  8 [size=\"140837547\", alpha=\"0.02\", expect_size=\"42251264\"] \n  8 -> 9 [size =\"42251264\"]\n  8 -> 10 [size =\"42251264\"]\n  9 [size=\"18421760\", alpha=\"0.18\", expect_size=\"5526528\"] \n  9 -> 12 [size =\"5526528\"]\n  9 -> 13 [size =\"5526528\"]\n  10 [size=\"52790613\", alpha=\"0.02\", expect_size=\"15837184\"] \n  10 -> 12 [size =\"15837184\"]\n  10 -> 13 [size =\"15837184\"]\n  11 [size=\"39936000\", alpha=\"0.04\", expect_size=\"11980800\"] \n  11 -> 12 [size =\"11980800\"]\n  11 -> 13 [size =\"11980800\"]\n  12 [size=\"168290987\", alpha=\"0.05\", expect_size=\"50487296\"] \n  12 -> 16 [size =\"50487296\"]\n  13 [size=\"96354987\", alpha=\"0.09\", expect_size=\"28906496\"] \n  13 -> 14 [size =\"28906496\"]\n  13 -> 15 [size =\"28906496\"]\n  14 [size=\"162136747\", alpha=\"0.05\", expect_size=\"48641024\"] \n  14 -> 17 [size =\"48641024\"]\n  14 -> 18 [size =\"48641024\"]\n  15 [size=\"128890880\", alpha=\"0.14\", expect_size=\"38667264\"] \n  15 -> 17 [size =\"38667264\"]\n  16 [size=\"110168747\", alpha=\"0.05\", expect_size=\"33050624\"] \n  16 -> 17 [size =\"33050624\"]\n  17 [size=\"65170773\", alpha=\"0.18\", expect_size=\"19551232\"] \n  17 -> 19 [size =\"19551232\"]\n  17 -> 20 [size =\"19551232\"]\n  18 [size=\"154429440\", alpha=\"0.19\", expect_size=\"46328832\"] \n  18 -> 19 [size =\"46328832\"]\n  18 -> 20 [size =\"46328832\"]\n  19 [size=\"167905280\", alpha=\"0.15\", expect_size=\"50371584\"] \n  19 -> 21 [size =\"50371584\"]\n  19 -> 23 [size =\"50371584\"]\n  20 [size=\"154173440\", alpha=\"0.19\", expect_size=\"46252032\"] \n  20 -> 21 [size =\"46252032\"]\n  20 -> 22 [size =\"46252032\"]\n  20 -> 23 [size =\"46252032\"]\n  21 [size=\"168956587\", alpha=\"0.15\", expect_size=\"50686976\"] \n  21 -> 24 [size =\"50686976\"]\n  22 [size=\"45475840\", alpha=\"0.18\", expect_size=\"13642752\"] \n  22 -> 24 [size =\"13642752\"]\n  22 -> 25 [size =\"13642752\"]\n  23 [size=\"86231040\", alpha=\"0.08\", expect_size=\"25869312\"] \n  23 -> 24 [size =\"25869312\"]\n  24 [size=\"153914027\", alpha=\"0.06\", expect_size=\"46174208\"] \n  24 -> 26 [size =\"46174208\"]\n  24 -> 27 [size =\"46174208\"]\n  24 -> 28 [size =\"46174208\"]\n  25 [size=\"39673173\", alpha=\"0.19\", expect_size=\"11901952\"] \n  25 -> 26 [size =\"11901952\"]\n  25 -> 27 [size =\"11901952\"]\n  25 -> 28 [size =\"11901952\"]\n  26 [size=\"149142187\", alpha=\"0.03\", expect_size=\"44742656\"] \n  26 -> 29 [size =\"44742656\"]\n  26 -> 30 [size =\"44742656\"]\n  26 -> 31 [size =\"44742656\"]\n  27 [size=\"30853120\", alpha=\"0.16\", expect_size=\"9255936\"] \n  27 -> 31 [size =\"9255936\"]\n  28 [size=\"169970347\", alpha=\"0.04\", expect_size=\"50991104\"] \n  28 -> 31 [size =\"50991104\"]\n  29 [size=\"158426453\", alpha=\"0.12\", expect_size=\"47527936\"] \n  29 -> 32 [size =\"47527936\"]\n  30 [size=\"120664747\", alpha=\"0.05\", expect_size=\"36199424\"] \n  30 -> 32 [size =\"36199424\"]\n  30 -> 33 [size =\"36199424\"]\n  31 [size=\"114397867\", alpha=\"0.01\", expect_size=\"34319360\"] \n  31 -> 32 [size =\"34319360\"]\n  31 -> 33 [size =\"34319360\"]\n  32 [size=\"76735147\", alpha=\"0.16\", expect_size=\"23020544\"] \n  33 [size=\"57811627\", alpha=\"0.01\", expect_size=\"17343488\"] \n  33 -> 34 [size =\"17343488\"]\n  33 -> 35 [size =\"17343488\"]\n  34 [size=\"123665067\", alpha=\"0.04\", expect_size=\"37099520\"] \n  34 -> 36 [size =\"37099520\"]\n  34 -> 37 [size =\"37099520\"]\n  35 [size=\"169707520\", alpha=\"0.01\", expect_size=\"50912256\"] \n  36 [size=\"161949013\", alpha=\"0.10\", expect_size=\"48584704\"] \n  36 -> 38 [size =\"48584704\"]\n  36 -> 39 [size =\"48584704\"]\n  36 -> 40 [size =\"48584704\"]\n  37 [size=\"30699520\", alpha=\"0.06\", expect_size=\"9209856\"] \n  37 -> 38 [size =\"9209856\"]\n  37 -> 39 [size =\"9209856\"]\n  37 -> 40 [size =\"9209856\"]\n  38 [size=\"155163307\", alpha=\"0.18\", expect_size=\"46548992\"] \n  39 [size=\"29559467\", alpha=\"0.10\", expect_size=\"8867840\"] \n  40 [size=\"126692693\", alpha=\"0.20\", expect_size=\"38007808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86256640\", alpha=\"0.16\", expect_size=\"34502656\"] \n  1 -> 6 [size =\"34502656\"]\n  1 -> 7 [size =\"34502656\"]\n  2 [size=\"88632320\", alpha=\"0.09\", expect_size=\"35452928\"] \n  2 -> 6 [size =\"35452928\"]\n  2 -> 7 [size =\"35452928\"]\n  2 -> 8 [size =\"35452928\"]\n  2 -> 9 [size =\"35452928\"]\n  3 [size=\"90040320\", alpha=\"0.19\", expect_size=\"36016128\"] \n  3 -> 6 [size =\"36016128\"]\n  3 -> 7 [size =\"36016128\"]\n  3 -> 9 [size =\"36016128\"]\n  3 -> 10 [size =\"36016128\"]\n  3 -> 11 [size =\"36016128\"]\n  4 [size=\"88015360\", alpha=\"0.02\", expect_size=\"35206144\"] \n  4 -> 7 [size =\"35206144\"]\n  4 -> 9 [size =\"35206144\"]\n  4 -> 10 [size =\"35206144\"]\n  5 [size=\"92359680\", alpha=\"0.16\", expect_size=\"36943872\"] \n  5 -> 7 [size =\"36943872\"]\n  5 -> 10 [size =\"36943872\"]\n  6 [size=\"59499520\", alpha=\"0.05\", expect_size=\"23799808\"] \n  6 -> 13 [size =\"23799808\"]\n  6 -> 13 [size =\"23799808\"]\n  7 [size=\"100277760\", alpha=\"0.19\", expect_size=\"40111104\"] \n  7 -> 13 [size =\"40111104\"]\n  7 -> 14 [size =\"40111104\"]\n  7 -> 15 [size =\"40111104\"]\n  8 [size=\"74621440\", alpha=\"0.08\", expect_size=\"29848576\"] \n  8 -> 14 [size =\"29848576\"]\n  8 -> 15 [size =\"29848576\"]\n  9 [size=\"68743680\", alpha=\"0.18\", expect_size=\"27497472\"] \n  9 -> 13 [size =\"27497472\"]\n  9 -> 14 [size =\"27497472\"]\n  9 -> 15 [size =\"27497472\"]\n  10 [size=\"121331200\", alpha=\"0.10\", expect_size=\"48532480\"] \n  10 -> 13 [size =\"48532480\"]\n  10 -> 15 [size =\"48532480\"]\n  10 -> 16 [size =\"48532480\"]\n  11 [size=\"119825920\", alpha=\"0.07\", expect_size=\"47930368\"] \n  11 -> 12 [size =\"47930368\"]\n  11 -> 13 [size =\"47930368\"]\n  11 -> 14 [size =\"47930368\"]\n  11 -> 15 [size =\"47930368\"]\n  12 [size=\"96215040\", alpha=\"0.17\", expect_size=\"38486016\"] \n  12 -> 17 [size =\"38486016\"]\n  12 -> 19 [size =\"38486016\"]\n  12 -> 20 [size =\"38486016\"]\n  12 -> 21 [size =\"38486016\"]\n  13 [size=\"32266240\", alpha=\"0.04\", expect_size=\"12906496\"] \n  13 -> 18 [size =\"12906496\"]\n  13 -> 19 [size =\"12906496\"]\n  13 -> 21 [size =\"12906496\"]\n  13 -> 21 [size =\"12906496\"]\n  14 [size=\"26135040\", alpha=\"0.17\", expect_size=\"10454016\"] \n  14 -> 17 [size =\"10454016\"]\n  14 -> 19 [size =\"10454016\"]\n  14 -> 21 [size =\"10454016\"]\n  15 [size=\"40716800\", alpha=\"0.10\", expect_size=\"16286720\"] \n  15 -> 17 [size =\"16286720\"]\n  15 -> 19 [size =\"16286720\"]\n  16 [size=\"17431040\", alpha=\"0.07\", expect_size=\"6972416\"] \n  16 -> 17 [size =\"6972416\"]\n  16 -> 18 [size =\"6972416\"]\n  16 -> 19 [size =\"6972416\"]\n  16 -> 21 [size =\"6972416\"]\n  17 [size=\"48780800\", alpha=\"0.20\", expect_size=\"19512320\"] \n  17 -> 23 [size =\"19512320\"]\n  17 -> 25 [size =\"19512320\"]\n  17 -> 26 [size =\"19512320\"]\n  18 [size=\"41103360\", alpha=\"0.11\", expect_size=\"16441344\"] \n  18 -> 23 [size =\"16441344\"]\n  18 -> 25 [size =\"16441344\"]\n  19 [size=\"90347520\", alpha=\"0.12\", expect_size=\"36139008\"] \n  19 -> 22 [size =\"36139008\"]\n  19 -> 23 [size =\"36139008\"]\n  19 -> 24 [size =\"36139008\"]\n  19 -> 25 [size =\"36139008\"]\n  20 [size=\"78876160\", alpha=\"0.07\", expect_size=\"31550464\"] \n  20 -> 24 [size =\"31550464\"]\n  20 -> 26 [size =\"31550464\"]\n  21 [size=\"18444800\", alpha=\"0.16\", expect_size=\"7377920\"] \n  21 -> 26 [size =\"7377920\"]\n  22 [size=\"61644800\", alpha=\"0.17\", expect_size=\"24657920\"] \n  22 -> 27 [size =\"24657920\"]\n  22 -> 28 [size =\"24657920\"]\n  22 -> 29 [size =\"24657920\"]\n  22 -> 31 [size =\"24657920\"]\n  23 [size=\"46602240\", alpha=\"0.11\", expect_size=\"18640896\"] \n  23 -> 27 [size =\"18640896\"]\n  23 -> 29 [size =\"18640896\"]\n  23 -> 31 [size =\"18640896\"]\n  23 -> 31 [size =\"18640896\"]\n  23 -> 32 [size =\"18640896\"]\n  24 [size=\"69304320\", alpha=\"0.18\", expect_size=\"27721728\"] \n  24 -> 27 [size =\"27721728\"]\n  24 -> 30 [size =\"27721728\"]\n  24 -> 31 [size =\"27721728\"]\n  25 [size=\"54474240\", alpha=\"0.18\", expect_size=\"21789696\"] \n  25 -> 27 [size =\"21789696\"]\n  26 [size=\"113589760\", alpha=\"0.06\", expect_size=\"45435904\"] \n  26 -> 27 [size =\"45435904\"]\n  26 -> 31 [size =\"45435904\"]\n  26 -> 32 [size =\"45435904\"]\n  27 [size=\"36920320\", alpha=\"0.09\", expect_size=\"14768128\"] \n  27 -> 34 [size =\"14768128\"]\n  27 -> 37 [size =\"14768128\"]\n  27 -> 38 [size =\"14768128\"]\n  28 [size=\"36490240\", alpha=\"0.02\", expect_size=\"14596096\"] \n  28 -> 36 [size =\"14596096\"]\n  28 -> 37 [size =\"14596096\"]\n  28 -> 38 [size =\"14596096\"]\n  29 [size=\"103767040\", alpha=\"0.05\", expect_size=\"41506816\"] \n  29 -> 33 [size =\"41506816\"]\n  29 -> 38 [size =\"41506816\"]\n  30 [size=\"53729280\", alpha=\"0.06\", expect_size=\"21491712\"] \n  30 -> 33 [size =\"21491712\"]\n  30 -> 35 [size =\"21491712\"]\n  30 -> 37 [size =\"21491712\"]\n  30 -> 38 [size =\"21491712\"]\n  31 [size=\"97231360\", alpha=\"0.05\", expect_size=\"38892544\"] \n  31 -> 35 [size =\"38892544\"]\n  31 -> 37 [size =\"38892544\"]\n  31 -> 37 [size =\"38892544\"]\n  32 [size=\"71498240\", alpha=\"0.19\", expect_size=\"28599296\"] \n  32 -> 37 [size =\"28599296\"]\n  32 -> 38 [size =\"28599296\"]\n  33 [size=\"52052480\", alpha=\"0.15\", expect_size=\"20820992\"] \n  33 -> 39 [size =\"20820992\"]\n  34 [size=\"115829760\", alpha=\"0.14\", expect_size=\"46331904\"] \n  35 [size=\"101811200\", alpha=\"0.17\", expect_size=\"40724480\"] \n  35 -> 39 [size =\"40724480\"]\n  35 -> 40 [size =\"40724480\"]\n  36 [size=\"89246720\", alpha=\"0.01\", expect_size=\"35698688\"] \n  36 -> 39 [size =\"35698688\"]\n  36 -> 40 [size =\"35698688\"]\n  37 [size=\"124533760\", alpha=\"0.12\", expect_size=\"49813504\"] \n  37 -> 39 [size =\"49813504\"]\n  37 -> 40 [size =\"49813504\"]\n  38 [size=\"58908160\", alpha=\"0.07\", expect_size=\"23563264\"] \n  38 -> 39 [size =\"23563264\"]\n  38 -> 40 [size =\"23563264\"]\n  39 [size=\"71856640\", alpha=\"0.15\", expect_size=\"28742656\"] \n  40 [size=\"101045760\", alpha=\"0.14\", expect_size=\"40418304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18061312\", alpha=\"0.01\", expect_size=\"9030656\"] \n  1 -> 8 [size =\"9030656\"]\n  1 -> 9 [size =\"9030656\"]\n  1 -> 11 [size =\"9030656\"]\n  1 -> 13 [size =\"9030656\"]\n  2 [size=\"88100864\", alpha=\"0.16\", expect_size=\"44050432\"] \n  2 -> 8 [size =\"44050432\"]\n  2 -> 9 [size =\"44050432\"]\n  2 -> 12 [size =\"44050432\"]\n  2 -> 13 [size =\"44050432\"]\n  3 [size=\"63895552\", alpha=\"0.05\", expect_size=\"31947776\"] \n  3 -> 8 [size =\"31947776\"]\n  3 -> 14 [size =\"31947776\"]\n  4 [size=\"87570432\", alpha=\"0.12\", expect_size=\"43785216\"] \n  4 -> 9 [size =\"43785216\"]\n  4 -> 10 [size =\"43785216\"]\n  4 -> 11 [size =\"43785216\"]\n  5 [size=\"100530176\", alpha=\"0.15\", expect_size=\"50265088\"] \n  5 -> 10 [size =\"50265088\"]\n  5 -> 11 [size =\"50265088\"]\n  5 -> 14 [size =\"50265088\"]\n  6 [size=\"78116864\", alpha=\"0.06\", expect_size=\"39058432\"] \n  6 -> 8 [size =\"39058432\"]\n  7 [size=\"79814656\", alpha=\"0.01\", expect_size=\"39907328\"] \n  7 -> 8 [size =\"39907328\"]\n  7 -> 9 [size =\"39907328\"]\n  7 -> 11 [size =\"39907328\"]\n  7 -> 12 [size =\"39907328\"]\n  7 -> 13 [size =\"39907328\"]\n  8 [size=\"22988800\", alpha=\"0.16\", expect_size=\"11494400\"] \n  8 -> 16 [size =\"11494400\"]\n  8 -> 17 [size =\"11494400\"]\n  8 -> 18 [size =\"11494400\"]\n  8 -> 20 [size =\"11494400\"]\n  9 [size=\"89225216\", alpha=\"0.07\", expect_size=\"44612608\"] \n  9 -> 16 [size =\"44612608\"]\n  9 -> 18 [size =\"44612608\"]\n  10 [size=\"54181888\", alpha=\"0.02\", expect_size=\"27090944\"] \n  10 -> 17 [size =\"27090944\"]\n  11 [size=\"83499008\", alpha=\"0.06\", expect_size=\"41749504\"] \n  11 -> 16 [size =\"41749504\"]\n  11 -> 18 [size =\"41749504\"]\n  11 -> 19 [size =\"41749504\"]\n  12 [size=\"88430592\", alpha=\"0.16\", expect_size=\"44215296\"] \n  12 -> 15 [size =\"44215296\"]\n  12 -> 18 [size =\"44215296\"]\n  12 -> 19 [size =\"44215296\"]\n  13 [size=\"70881280\", alpha=\"0.09\", expect_size=\"35440640\"] \n  13 -> 16 [size =\"35440640\"]\n  13 -> 19 [size =\"35440640\"]\n  13 -> 19 [size =\"35440640\"]\n  13 -> 20 [size =\"35440640\"]\n  14 [size=\"94035968\", alpha=\"0.12\", expect_size=\"47017984\"] \n  14 -> 16 [size =\"47017984\"]\n  14 -> 20 [size =\"47017984\"]\n  15 [size=\"53979136\", alpha=\"0.08\", expect_size=\"26989568\"] \n  15 -> 21 [size =\"26989568\"]\n  15 -> 23 [size =\"26989568\"]\n  15 -> 24 [size =\"26989568\"]\n  15 -> 25 [size =\"26989568\"]\n  15 -> 26 [size =\"26989568\"]\n  16 [size=\"29810688\", alpha=\"0.11\", expect_size=\"14905344\"] \n  16 -> 22 [size =\"14905344\"]\n  16 -> 24 [size =\"14905344\"]\n  17 [size=\"59846656\", alpha=\"0.05\", expect_size=\"29923328\"] \n  17 -> 21 [size =\"29923328\"]\n  17 -> 22 [size =\"29923328\"]\n  17 -> 23 [size =\"29923328\"]\n  17 -> 26 [size =\"29923328\"]\n  18 [size=\"64479232\", alpha=\"0.18\", expect_size=\"32239616\"] \n  18 -> 22 [size =\"32239616\"]\n  18 -> 23 [size =\"32239616\"]\n  18 -> 23 [size =\"32239616\"]\n  18 -> 25 [size =\"32239616\"]\n  19 [size=\"47474688\", alpha=\"0.07\", expect_size=\"23737344\"] \n  19 -> 21 [size =\"23737344\"]\n  19 -> 23 [size =\"23737344\"]\n  19 -> 24 [size =\"23737344\"]\n  19 -> 26 [size =\"23737344\"]\n  20 [size=\"81340416\", alpha=\"0.02\", expect_size=\"40670208\"] \n  20 -> 22 [size =\"40670208\"]\n  20 -> 26 [size =\"40670208\"]\n  21 [size=\"89884672\", alpha=\"0.18\", expect_size=\"44942336\"] \n  21 -> 28 [size =\"44942336\"]\n  22 [size=\"26146816\", alpha=\"0.11\", expect_size=\"13073408\"] \n  22 -> 29 [size =\"13073408\"]\n  22 -> 30 [size =\"13073408\"]\n  23 [size=\"100907008\", alpha=\"0.16\", expect_size=\"50453504\"] \n  23 -> 29 [size =\"50453504\"]\n  24 [size=\"47276032\", alpha=\"0.17\", expect_size=\"23638016\"] \n  24 -> 27 [size =\"23638016\"]\n  24 -> 28 [size =\"23638016\"]\n  24 -> 29 [size =\"23638016\"]\n  25 [size=\"103911424\", alpha=\"0.17\", expect_size=\"51955712\"] \n  25 -> 27 [size =\"51955712\"]\n  25 -> 28 [size =\"51955712\"]\n  26 [size=\"49408000\", alpha=\"0.11\", expect_size=\"24704000\"] \n  26 -> 27 [size =\"24704000\"]\n  26 -> 28 [size =\"24704000\"]\n  26 -> 29 [size =\"24704000\"]\n  27 [size=\"102713344\", alpha=\"0.20\", expect_size=\"51356672\"] \n  27 -> 31 [size =\"51356672\"]\n  27 -> 32 [size =\"51356672\"]\n  27 -> 35 [size =\"51356672\"]\n  27 -> 36 [size =\"51356672\"]\n  27 -> 37 [size =\"51356672\"]\n  28 [size=\"30189568\", alpha=\"0.11\", expect_size=\"15094784\"] \n  28 -> 34 [size =\"15094784\"]\n  29 [size=\"19855360\", alpha=\"0.19\", expect_size=\"9927680\"] \n  29 -> 31 [size =\"9927680\"]\n  29 -> 32 [size =\"9927680\"]\n  29 -> 34 [size =\"9927680\"]\n  30 [size=\"50782208\", alpha=\"0.17\", expect_size=\"25391104\"] \n  30 -> 31 [size =\"25391104\"]\n  30 -> 33 [size =\"25391104\"]\n  30 -> 36 [size =\"25391104\"]\n  31 [size=\"58451968\", alpha=\"0.10\", expect_size=\"29225984\"] \n  31 -> 39 [size =\"29225984\"]\n  32 [size=\"50438144\", alpha=\"0.19\", expect_size=\"25219072\"] \n  32 -> 38 [size =\"25219072\"]\n  32 -> 39 [size =\"25219072\"]\n  33 [size=\"104355840\", alpha=\"0.02\", expect_size=\"52177920\"] \n  33 -> 39 [size =\"52177920\"]\n  34 [size=\"84877312\", alpha=\"0.02\", expect_size=\"42438656\"] \n  34 -> 38 [size =\"42438656\"]\n  34 -> 40 [size =\"42438656\"]\n  35 [size=\"69085184\", alpha=\"0.11\", expect_size=\"34542592\"] \n  36 [size=\"52654080\", alpha=\"0.04\", expect_size=\"26327040\"] \n  36 -> 38 [size =\"26327040\"]\n  37 [size=\"103217152\", alpha=\"0.08\", expect_size=\"51608576\"] \n  37 -> 39 [size =\"51608576\"]\n  38 [size=\"101357568\", alpha=\"0.03\", expect_size=\"50678784\"] \n  39 [size=\"59582464\", alpha=\"0.06\", expect_size=\"29791232\"] \n  40 [size=\"56631296\", alpha=\"0.04\", expect_size=\"28315648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39891627\", alpha=\"0.14\", expect_size=\"11967488\"] \n  1 -> 31 [size =\"11967488\"]\n  1 -> 37 [size =\"11967488\"]\n  1 -> 38 [size =\"11967488\"]\n  1 -> 38 [size =\"11967488\"]\n  2 [size=\"123043840\", alpha=\"0.03\", expect_size=\"36913152\"] \n  2 -> 38 [size =\"36913152\"]\n  3 [size=\"150002347\", alpha=\"0.17\", expect_size=\"45000704\"] \n  3 -> 33 [size =\"45000704\"]\n  3 -> 37 [size =\"45000704\"]\n  3 -> 39 [size =\"45000704\"]\n  4 [size=\"62842880\", alpha=\"0.13\", expect_size=\"18852864\"] \n  4 -> 31 [size =\"18852864\"]\n  4 -> 34 [size =\"18852864\"]\n  4 -> 36 [size =\"18852864\"]\n  4 -> 37 [size =\"18852864\"]\n  4 -> 38 [size =\"18852864\"]\n  4 -> 39 [size =\"18852864\"]\n  5 [size=\"36242773\", alpha=\"0.14\", expect_size=\"10872832\"] \n  5 -> 31 [size =\"10872832\"]\n  5 -> 32 [size =\"10872832\"]\n  5 -> 36 [size =\"10872832\"]\n  5 -> 37 [size =\"10872832\"]\n  5 -> 38 [size =\"10872832\"]\n  6 [size=\"47824213\", alpha=\"0.05\", expect_size=\"14347264\"] \n  6 -> 33 [size =\"14347264\"]\n  6 -> 34 [size =\"14347264\"]\n  6 -> 36 [size =\"14347264\"]\n  6 -> 37 [size =\"14347264\"]\n  6 -> 38 [size =\"14347264\"]\n  7 [size=\"90193920\", alpha=\"0.12\", expect_size=\"27058176\"] \n  7 -> 33 [size =\"27058176\"]\n  7 -> 36 [size =\"27058176\"]\n  7 -> 37 [size =\"27058176\"]\n  7 -> 38 [size =\"27058176\"]\n  8 [size=\"155736747\", alpha=\"0.14\", expect_size=\"46721024\"] \n  8 -> 31 [size =\"46721024\"]\n  8 -> 37 [size =\"46721024\"]\n  9 [size=\"29996373\", alpha=\"0.16\", expect_size=\"8998912\"] \n  9 -> 31 [size =\"8998912\"]\n  9 -> 33 [size =\"8998912\"]\n  9 -> 34 [size =\"8998912\"]\n  9 -> 38 [size =\"8998912\"]\n  10 [size=\"61320533\", alpha=\"0.15\", expect_size=\"18396160\"] \n  10 -> 31 [size =\"18396160\"]\n  10 -> 32 [size =\"18396160\"]\n  10 -> 33 [size =\"18396160\"]\n  10 -> 35 [size =\"18396160\"]\n  10 -> 38 [size =\"18396160\"]\n  10 -> 39 [size =\"18396160\"]\n  10 -> 40 [size =\"18396160\"]\n  11 [size=\"77509973\", alpha=\"0.10\", expect_size=\"23252992\"] \n  11 -> 31 [size =\"23252992\"]\n  11 -> 33 [size =\"23252992\"]\n  11 -> 38 [size =\"23252992\"]\n  11 -> 39 [size =\"23252992\"]\n  12 [size=\"27569493\", alpha=\"0.10\", expect_size=\"8270848\"] \n  12 -> 33 [size =\"8270848\"]\n  12 -> 33 [size =\"8270848\"]\n  12 -> 37 [size =\"8270848\"]\n  12 -> 38 [size =\"8270848\"]\n  12 -> 39 [size =\"8270848\"]\n  13 [size=\"54005760\", alpha=\"0.05\", expect_size=\"16201728\"] \n  13 -> 31 [size =\"16201728\"]\n  13 -> 34 [size =\"16201728\"]\n  13 -> 37 [size =\"16201728\"]\n  13 -> 38 [size =\"16201728\"]\n  14 [size=\"28627627\", alpha=\"0.07\", expect_size=\"8588288\"] \n  14 -> 34 [size =\"8588288\"]\n  14 -> 34 [size =\"8588288\"]\n  14 -> 35 [size =\"8588288\"]\n  14 -> 38 [size =\"8588288\"]\n  15 [size=\"133413547\", alpha=\"0.00\", expect_size=\"40024064\"] \n  15 -> 38 [size =\"40024064\"]\n  16 [size=\"82459307\", alpha=\"0.19\", expect_size=\"24737792\"] \n  16 -> 31 [size =\"24737792\"]\n  16 -> 32 [size =\"24737792\"]\n  16 -> 34 [size =\"24737792\"]\n  16 -> 37 [size =\"24737792\"]\n  17 [size=\"125395627\", alpha=\"0.16\", expect_size=\"37618688\"] \n  17 -> 31 [size =\"37618688\"]\n  17 -> 38 [size =\"37618688\"]\n  18 [size=\"65064960\", alpha=\"0.12\", expect_size=\"19519488\"] \n  18 -> 35 [size =\"19519488\"]\n  19 [size=\"172994560\", alpha=\"0.10\", expect_size=\"51898368\"] \n  19 -> 31 [size =\"51898368\"]\n  19 -> 33 [size =\"51898368\"]\n  19 -> 34 [size =\"51898368\"]\n  19 -> 37 [size =\"51898368\"]\n  19 -> 38 [size =\"51898368\"]\n  19 -> 40 [size =\"51898368\"]\n  20 [size=\"142953813\", alpha=\"0.11\", expect_size=\"42886144\"] \n  20 -> 31 [size =\"42886144\"]\n  20 -> 34 [size =\"42886144\"]\n  21 [size=\"99819520\", alpha=\"0.15\", expect_size=\"29945856\"] \n  21 -> 31 [size =\"29945856\"]\n  21 -> 35 [size =\"29945856\"]\n  21 -> 37 [size =\"29945856\"]\n  21 -> 39 [size =\"29945856\"]\n  22 [size=\"19988480\", alpha=\"0.12\", expect_size=\"5996544\"] \n  22 -> 31 [size =\"5996544\"]\n  22 -> 32 [size =\"5996544\"]\n  22 -> 37 [size =\"5996544\"]\n  23 [size=\"102171307\", alpha=\"0.06\", expect_size=\"30651392\"] \n  23 -> 31 [size =\"30651392\"]\n  23 -> 32 [size =\"30651392\"]\n  23 -> 33 [size =\"30651392\"]\n  23 -> 38 [size =\"30651392\"]\n  24 [size=\"140062720\", alpha=\"0.06\", expect_size=\"42018816\"] \n  25 [size=\"38434133\", alpha=\"0.08\", expect_size=\"11530240\"] \n  25 -> 31 [size =\"11530240\"]\n  25 -> 33 [size =\"11530240\"]\n  25 -> 34 [size =\"11530240\"]\n  25 -> 40 [size =\"11530240\"]\n  26 [size=\"40642560\", alpha=\"0.14\", expect_size=\"12192768\"] \n  26 -> 33 [size =\"12192768\"]\n  26 -> 33 [size =\"12192768\"]\n  26 -> 35 [size =\"12192768\"]\n  26 -> 36 [size =\"12192768\"]\n  26 -> 38 [size =\"12192768\"]\n  27 [size=\"36055040\", alpha=\"0.09\", expect_size=\"10816512\"] \n  27 -> 31 [size =\"10816512\"]\n  27 -> 37 [size =\"10816512\"]\n  27 -> 38 [size =\"10816512\"]\n  28 [size=\"164587520\", alpha=\"0.02\", expect_size=\"49376256\"] \n  28 -> 31 [size =\"49376256\"]\n  28 -> 33 [size =\"49376256\"]\n  28 -> 34 [size =\"49376256\"]\n  28 -> 38 [size =\"49376256\"]\n  29 [size=\"99706880\", alpha=\"0.16\", expect_size=\"29912064\"] \n  29 -> 30 [size =\"29912064\"]\n  29 -> 33 [size =\"29912064\"]\n  29 -> 34 [size =\"29912064\"]\n  29 -> 38 [size =\"29912064\"]\n  29 -> 39 [size =\"29912064\"]\n  30 [size=\"24094720\", alpha=\"0.16\", expect_size=\"7228416\"] \n  31 [size=\"112373760\", alpha=\"0.04\", expect_size=\"33712128\"] \n  32 [size=\"72386560\", alpha=\"0.13\", expect_size=\"21715968\"] \n  33 [size=\"166990507\", alpha=\"0.06\", expect_size=\"50097152\"] \n  34 [size=\"56849067\", alpha=\"0.01\", expect_size=\"17054720\"] \n  35 [size=\"101908480\", alpha=\"0.11\", expect_size=\"30572544\"] \n  36 [size=\"163648853\", alpha=\"0.09\", expect_size=\"49094656\"] \n  37 [size=\"115135147\", alpha=\"0.01\", expect_size=\"34540544\"] \n  38 [size=\"29081600\", alpha=\"0.18\", expect_size=\"8724480\"] \n  39 [size=\"43758933\", alpha=\"0.16\", expect_size=\"13127680\"] \n  40 [size=\"171683840\", alpha=\"0.09\", expect_size=\"51505152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104311467\", alpha=\"0.05\", expect_size=\"31293440\"] \n  1 -> 13 [size =\"31293440\"]\n  1 -> 16 [size =\"31293440\"]\n  1 -> 17 [size =\"31293440\"]\n  1 -> 18 [size =\"31293440\"]\n  1 -> 23 [size =\"31293440\"]\n  2 [size=\"58388480\", alpha=\"0.08\", expect_size=\"17516544\"] \n  2 -> 13 [size =\"17516544\"]\n  2 -> 14 [size =\"17516544\"]\n  2 -> 16 [size =\"17516544\"]\n  2 -> 18 [size =\"17516544\"]\n  3 [size=\"74120533\", alpha=\"0.18\", expect_size=\"22236160\"] \n  3 -> 14 [size =\"22236160\"]\n  4 [size=\"139052373\", alpha=\"0.02\", expect_size=\"41715712\"] \n  4 -> 13 [size =\"41715712\"]\n  4 -> 15 [size =\"41715712\"]\n  4 -> 19 [size =\"41715712\"]\n  4 -> 20 [size =\"41715712\"]\n  5 [size=\"24292693\", alpha=\"0.07\", expect_size=\"7287808\"] \n  5 -> 13 [size =\"7287808\"]\n  5 -> 15 [size =\"7287808\"]\n  5 -> 17 [size =\"7287808\"]\n  5 -> 22 [size =\"7287808\"]\n  6 [size=\"33488213\", alpha=\"0.09\", expect_size=\"10046464\"] \n  6 -> 15 [size =\"10046464\"]\n  6 -> 16 [size =\"10046464\"]\n  7 [size=\"21954560\", alpha=\"0.05\", expect_size=\"6586368\"] \n  7 -> 14 [size =\"6586368\"]\n  7 -> 16 [size =\"6586368\"]\n  7 -> 18 [size =\"6586368\"]\n  7 -> 19 [size =\"6586368\"]\n  7 -> 20 [size =\"6586368\"]\n  8 [size=\"41495893\", alpha=\"0.17\", expect_size=\"12448768\"] \n  8 -> 14 [size =\"12448768\"]\n  8 -> 16 [size =\"12448768\"]\n  8 -> 20 [size =\"12448768\"]\n  8 -> 22 [size =\"12448768\"]\n  8 -> 23 [size =\"12448768\"]\n  8 -> 24 [size =\"12448768\"]\n  9 [size=\"96709973\", alpha=\"0.16\", expect_size=\"29012992\"] \n  9 -> 16 [size =\"29012992\"]\n  9 -> 18 [size =\"29012992\"]\n  9 -> 20 [size =\"29012992\"]\n  10 [size=\"118036480\", alpha=\"0.01\", expect_size=\"35410944\"] \n  10 -> 15 [size =\"35410944\"]\n  10 -> 18 [size =\"35410944\"]\n  10 -> 24 [size =\"35410944\"]\n  11 [size=\"25125547\", alpha=\"0.03\", expect_size=\"7537664\"] \n  11 -> 13 [size =\"7537664\"]\n  11 -> 17 [size =\"7537664\"]\n  11 -> 18 [size =\"7537664\"]\n  11 -> 21 [size =\"7537664\"]\n  12 [size=\"65221973\", alpha=\"0.02\", expect_size=\"19566592\"] \n  12 -> 13 [size =\"19566592\"]\n  12 -> 16 [size =\"19566592\"]\n  12 -> 17 [size =\"19566592\"]\n  12 -> 18 [size =\"19566592\"]\n  12 -> 19 [size =\"19566592\"]\n  12 -> 23 [size =\"19566592\"]\n  13 [size=\"126726827\", alpha=\"0.04\", expect_size=\"38018048\"] \n  13 -> 26 [size =\"38018048\"]\n  13 -> 30 [size =\"38018048\"]\n  13 -> 33 [size =\"38018048\"]\n  13 -> 35 [size =\"38018048\"]\n  13 -> 36 [size =\"38018048\"]\n  14 [size=\"114039467\", alpha=\"0.16\", expect_size=\"34211840\"] \n  14 -> 26 [size =\"34211840\"]\n  14 -> 29 [size =\"34211840\"]\n  14 -> 35 [size =\"34211840\"]\n  14 -> 36 [size =\"34211840\"]\n  15 [size=\"127225173\", alpha=\"0.01\", expect_size=\"38167552\"] \n  15 -> 26 [size =\"38167552\"]\n  15 -> 29 [size =\"38167552\"]\n  15 -> 30 [size =\"38167552\"]\n  15 -> 31 [size =\"38167552\"]\n  15 -> 35 [size =\"38167552\"]\n  15 -> 36 [size =\"38167552\"]\n  16 [size=\"24726187\", alpha=\"0.13\", expect_size=\"7417856\"] \n  16 -> 27 [size =\"7417856\"]\n  16 -> 29 [size =\"7417856\"]\n  16 -> 30 [size =\"7417856\"]\n  16 -> 31 [size =\"7417856\"]\n  16 -> 35 [size =\"7417856\"]\n  16 -> 36 [size =\"7417856\"]\n  17 [size=\"97181013\", alpha=\"0.06\", expect_size=\"29154304\"] \n  17 -> 25 [size =\"29154304\"]\n  17 -> 26 [size =\"29154304\"]\n  17 -> 27 [size =\"29154304\"]\n  17 -> 28 [size =\"29154304\"]\n  17 -> 30 [size =\"29154304\"]\n  17 -> 31 [size =\"29154304\"]\n  17 -> 34 [size =\"29154304\"]\n  17 -> 36 [size =\"29154304\"]\n  18 [size=\"134341973\", alpha=\"0.16\", expect_size=\"40302592\"] \n  18 -> 25 [size =\"40302592\"]\n  18 -> 30 [size =\"40302592\"]\n  18 -> 31 [size =\"40302592\"]\n  19 [size=\"107659947\", alpha=\"0.14\", expect_size=\"32297984\"] \n  19 -> 27 [size =\"32297984\"]\n  19 -> 30 [size =\"32297984\"]\n  19 -> 31 [size =\"32297984\"]\n  19 -> 36 [size =\"32297984\"]\n  20 [size=\"73475413\", alpha=\"0.01\", expect_size=\"22042624\"] \n  20 -> 25 [size =\"22042624\"]\n  20 -> 27 [size =\"22042624\"]\n  20 -> 31 [size =\"22042624\"]\n  20 -> 33 [size =\"22042624\"]\n  20 -> 35 [size =\"22042624\"]\n  20 -> 36 [size =\"22042624\"]\n  21 [size=\"78434987\", alpha=\"0.19\", expect_size=\"23530496\"] \n  21 -> 25 [size =\"23530496\"]\n  21 -> 26 [size =\"23530496\"]\n  21 -> 29 [size =\"23530496\"]\n  21 -> 30 [size =\"23530496\"]\n  21 -> 35 [size =\"23530496\"]\n  22 [size=\"101321387\", alpha=\"0.02\", expect_size=\"30396416\"] \n  22 -> 27 [size =\"30396416\"]\n  23 [size=\"117114880\", alpha=\"0.12\", expect_size=\"35134464\"] \n  23 -> 25 [size =\"35134464\"]\n  23 -> 27 [size =\"35134464\"]\n  23 -> 32 [size =\"35134464\"]\n  23 -> 33 [size =\"35134464\"]\n  24 [size=\"150807893\", alpha=\"0.18\", expect_size=\"45242368\"] \n  24 -> 26 [size =\"45242368\"]\n  24 -> 27 [size =\"45242368\"]\n  24 -> 28 [size =\"45242368\"]\n  24 -> 31 [size =\"45242368\"]\n  24 -> 32 [size =\"45242368\"]\n  24 -> 35 [size =\"45242368\"]\n  25 [size=\"122265600\", alpha=\"0.04\", expect_size=\"36679680\"] \n  25 -> 37 [size =\"36679680\"]\n  25 -> 39 [size =\"36679680\"]\n  26 [size=\"128897707\", alpha=\"0.13\", expect_size=\"38669312\"] \n  26 -> 38 [size =\"38669312\"]\n  26 -> 39 [size =\"38669312\"]\n  26 -> 40 [size =\"38669312\"]\n  27 [size=\"74130773\", alpha=\"0.02\", expect_size=\"22239232\"] \n  28 [size=\"117582507\", alpha=\"0.14\", expect_size=\"35274752\"] \n  28 -> 38 [size =\"35274752\"]\n  29 [size=\"82858667\", alpha=\"0.17\", expect_size=\"24857600\"] \n  30 [size=\"34177707\", alpha=\"0.12\", expect_size=\"10253312\"] \n  30 -> 38 [size =\"10253312\"]\n  31 [size=\"39208960\", alpha=\"0.08\", expect_size=\"11762688\"] \n  31 -> 40 [size =\"11762688\"]\n  32 [size=\"27508053\", alpha=\"0.10\", expect_size=\"8252416\"] \n  33 [size=\"39987200\", alpha=\"0.06\", expect_size=\"11996160\"] \n  33 -> 38 [size =\"11996160\"]\n  34 [size=\"133290667\", alpha=\"0.14\", expect_size=\"39987200\"] \n  34 -> 37 [size =\"39987200\"]\n  34 -> 38 [size =\"39987200\"]\n  34 -> 39 [size =\"39987200\"]\n  35 [size=\"114421760\", alpha=\"0.17\", expect_size=\"34326528\"] \n  35 -> 37 [size =\"34326528\"]\n  36 [size=\"147490133\", alpha=\"0.20\", expect_size=\"44247040\"] \n  36 -> 37 [size =\"44247040\"]\n  36 -> 39 [size =\"44247040\"]\n  37 [size=\"91221333\", alpha=\"0.13\", expect_size=\"27366400\"] \n  38 [size=\"107383467\", alpha=\"0.02\", expect_size=\"32215040\"] \n  39 [size=\"62706347\", alpha=\"0.01\", expect_size=\"18811904\"] \n  40 [size=\"36430507\", alpha=\"0.08\", expect_size=\"10929152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21909504\", alpha=\"0.09\", expect_size=\"10954752\"] \n  1 -> 2 [size =\"10954752\"]\n  2 [size=\"89905152\", alpha=\"0.00\", expect_size=\"44952576\"] \n  2 -> 3 [size =\"44952576\"]\n  3 [size=\"90048512\", alpha=\"0.15\", expect_size=\"45024256\"] \n  3 -> 4 [size =\"45024256\"]\n  4 [size=\"17674240\", alpha=\"0.00\", expect_size=\"8837120\"] \n  4 -> 5 [size =\"8837120\"]\n  5 [size=\"71219200\", alpha=\"0.18\", expect_size=\"35609600\"] \n  5 -> 6 [size =\"35609600\"]\n  6 [size=\"89495552\", alpha=\"0.06\", expect_size=\"44747776\"] \n  6 -> 7 [size =\"44747776\"]\n  7 [size=\"15841280\", alpha=\"0.07\", expect_size=\"7920640\"] \n  7 -> 8 [size =\"7920640\"]\n  8 [size=\"17055744\", alpha=\"0.03\", expect_size=\"8527872\"] \n  8 -> 9 [size =\"8527872\"]\n  9 [size=\"51691520\", alpha=\"0.17\", expect_size=\"25845760\"] \n  9 -> 10 [size =\"25845760\"]\n  10 [size=\"44394496\", alpha=\"0.19\", expect_size=\"22197248\"] \n  10 -> 11 [size =\"22197248\"]\n  11 [size=\"43331584\", alpha=\"0.18\", expect_size=\"21665792\"] \n  11 -> 12 [size =\"21665792\"]\n  12 [size=\"83589120\", alpha=\"0.14\", expect_size=\"41794560\"] \n  12 -> 13 [size =\"41794560\"]\n  13 [size=\"84957184\", alpha=\"0.09\", expect_size=\"42478592\"] \n  13 -> 14 [size =\"42478592\"]\n  14 [size=\"62988288\", alpha=\"0.02\", expect_size=\"31494144\"] \n  14 -> 15 [size =\"31494144\"]\n  15 [size=\"65087488\", alpha=\"0.13\", expect_size=\"32543744\"] \n  15 -> 16 [size =\"32543744\"]\n  16 [size=\"54681600\", alpha=\"0.17\", expect_size=\"27340800\"] \n  16 -> 17 [size =\"27340800\"]\n  17 [size=\"84236288\", alpha=\"0.05\", expect_size=\"42118144\"] \n  17 -> 18 [size =\"42118144\"]\n  18 [size=\"23189504\", alpha=\"0.13\", expect_size=\"11594752\"] \n  18 -> 19 [size =\"11594752\"]\n  19 [size=\"37296128\", alpha=\"0.13\", expect_size=\"18648064\"] \n  19 -> 20 [size =\"18648064\"]\n  20 [size=\"24641536\", alpha=\"0.14\", expect_size=\"12320768\"] \n  20 -> 21 [size =\"12320768\"]\n  21 [size=\"18251776\", alpha=\"0.18\", expect_size=\"9125888\"] \n  21 -> 22 [size =\"9125888\"]\n  22 [size=\"101052416\", alpha=\"0.19\", expect_size=\"50526208\"] \n  22 -> 23 [size =\"50526208\"]\n  23 [size=\"72589312\", alpha=\"0.16\", expect_size=\"36294656\"] \n  23 -> 24 [size =\"36294656\"]\n  24 [size=\"18333696\", alpha=\"0.15\", expect_size=\"9166848\"] \n  24 -> 25 [size =\"9166848\"]\n  25 [size=\"25513984\", alpha=\"0.07\", expect_size=\"12756992\"] \n  25 -> 26 [size =\"12756992\"]\n  26 [size=\"87756800\", alpha=\"0.15\", expect_size=\"43878400\"] \n  26 -> 27 [size =\"43878400\"]\n  27 [size=\"73807872\", alpha=\"0.05\", expect_size=\"36903936\"] \n  27 -> 28 [size =\"36903936\"]\n  28 [size=\"95600640\", alpha=\"0.16\", expect_size=\"47800320\"] \n  28 -> 29 [size =\"47800320\"]\n  29 [size=\"62306304\", alpha=\"0.16\", expect_size=\"31153152\"] \n  29 -> 30 [size =\"31153152\"]\n  30 [size=\"29237248\", alpha=\"0.03\", expect_size=\"14618624\"] \n  30 -> 31 [size =\"14618624\"]\n  31 [size=\"96612352\", alpha=\"0.17\", expect_size=\"48306176\"] \n  31 -> 32 [size =\"48306176\"]\n  32 [size=\"87113728\", alpha=\"0.06\", expect_size=\"43556864\"] \n  32 -> 33 [size =\"43556864\"]\n  33 [size=\"80160768\", alpha=\"0.11\", expect_size=\"40080384\"] \n  33 -> 34 [size =\"40080384\"]\n  34 [size=\"60946432\", alpha=\"0.08\", expect_size=\"30473216\"] \n  34 -> 35 [size =\"30473216\"]\n  35 [size=\"36659200\", alpha=\"0.16\", expect_size=\"18329600\"] \n  35 -> 36 [size =\"18329600\"]\n  36 [size=\"68034560\", alpha=\"0.13\", expect_size=\"34017280\"] \n  36 -> 37 [size =\"34017280\"]\n  37 [size=\"45340672\", alpha=\"0.06\", expect_size=\"22670336\"] \n  37 -> 38 [size =\"22670336\"]\n  38 [size=\"68302848\", alpha=\"0.01\", expect_size=\"34151424\"] \n  38 -> 39 [size =\"34151424\"]\n  39 [size=\"49121280\", alpha=\"0.03\", expect_size=\"24560640\"] \n  39 -> 40 [size =\"24560640\"]\n  40 [size=\"29005824\", alpha=\"0.07\", expect_size=\"14502912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92928000\", alpha=\"0.08\", expect_size=\"37171200\"] \n  2 [size=\"102860800\", alpha=\"0.10\", expect_size=\"41144320\"] \n  2 -> 6 [size =\"41144320\"]\n  3 [size=\"80330240\", alpha=\"0.15\", expect_size=\"32132096\"] \n  3 -> 4 [size =\"32132096\"]\n  3 -> 5 [size =\"32132096\"]\n  3 -> 6 [size =\"32132096\"]\n  4 [size=\"46054400\", alpha=\"0.05\", expect_size=\"18421760\"] \n  4 -> 8 [size =\"18421760\"]\n  4 -> 9 [size =\"18421760\"]\n  4 -> 10 [size =\"18421760\"]\n  4 -> 12 [size =\"18421760\"]\n  5 [size=\"59944960\", alpha=\"0.07\", expect_size=\"23977984\"] \n  5 -> 7 [size =\"23977984\"]\n  5 -> 9 [size =\"23977984\"]\n  5 -> 11 [size =\"23977984\"]\n  5 -> 12 [size =\"23977984\"]\n  5 -> 13 [size =\"23977984\"]\n  5 -> 14 [size =\"23977984\"]\n  6 [size=\"84602880\", alpha=\"0.01\", expect_size=\"33841152\"] \n  6 -> 7 [size =\"33841152\"]\n  6 -> 8 [size =\"33841152\"]\n  6 -> 10 [size =\"33841152\"]\n  6 -> 12 [size =\"33841152\"]\n  6 -> 14 [size =\"33841152\"]\n  7 [size=\"111994880\", alpha=\"0.17\", expect_size=\"44797952\"] \n  7 -> 17 [size =\"44797952\"]\n  8 [size=\"91156480\", alpha=\"0.19\", expect_size=\"36462592\"] \n  8 -> 15 [size =\"36462592\"]\n  8 -> 17 [size =\"36462592\"]\n  9 [size=\"100736000\", alpha=\"0.03\", expect_size=\"40294400\"] \n  9 -> 15 [size =\"40294400\"]\n  9 -> 16 [size =\"40294400\"]\n  10 [size=\"16586240\", alpha=\"0.17\", expect_size=\"6634496\"] \n  11 [size=\"127288320\", alpha=\"0.11\", expect_size=\"50915328\"] \n  12 [size=\"56043520\", alpha=\"0.02\", expect_size=\"22417408\"] \n  13 [size=\"112430080\", alpha=\"0.10\", expect_size=\"44972032\"] \n  13 -> 18 [size =\"44972032\"]\n  14 [size=\"85015040\", alpha=\"0.13\", expect_size=\"34006016\"] \n  14 -> 15 [size =\"34006016\"]\n  14 -> 16 [size =\"34006016\"]\n  15 [size=\"114158080\", alpha=\"0.16\", expect_size=\"45663232\"] \n  15 -> 21 [size =\"45663232\"]\n  16 [size=\"36032000\", alpha=\"0.10\", expect_size=\"14412800\"] \n  16 -> 19 [size =\"14412800\"]\n  16 -> 20 [size =\"14412800\"]\n  16 -> 21 [size =\"14412800\"]\n  17 [size=\"44075520\", alpha=\"0.02\", expect_size=\"17630208\"] \n  17 -> 19 [size =\"17630208\"]\n  17 -> 21 [size =\"17630208\"]\n  17 -> 22 [size =\"17630208\"]\n  18 [size=\"29035520\", alpha=\"0.07\", expect_size=\"11614208\"] \n  18 -> 19 [size =\"11614208\"]\n  18 -> 22 [size =\"11614208\"]\n  19 [size=\"22200320\", alpha=\"0.11\", expect_size=\"8880128\"] \n  19 -> 26 [size =\"8880128\"]\n  19 -> 27 [size =\"8880128\"]\n  19 -> 28 [size =\"8880128\"]\n  19 -> 30 [size =\"8880128\"]\n  20 [size=\"37826560\", alpha=\"0.15\", expect_size=\"15130624\"] \n  20 -> 27 [size =\"15130624\"]\n  20 -> 29 [size =\"15130624\"]\n  20 -> 30 [size =\"15130624\"]\n  21 [size=\"18053120\", alpha=\"0.13\", expect_size=\"7221248\"] \n  21 -> 23 [size =\"7221248\"]\n  21 -> 25 [size =\"7221248\"]\n  21 -> 29 [size =\"7221248\"]\n  21 -> 30 [size =\"7221248\"]\n  22 [size=\"84510720\", alpha=\"0.06\", expect_size=\"33804288\"] \n  22 -> 24 [size =\"33804288\"]\n  22 -> 27 [size =\"33804288\"]\n  22 -> 29 [size =\"33804288\"]\n  23 [size=\"95065600\", alpha=\"0.10\", expect_size=\"38026240\"] \n  23 -> 34 [size =\"38026240\"]\n  24 [size=\"37716480\", alpha=\"0.00\", expect_size=\"15086592\"] \n  24 -> 31 [size =\"15086592\"]\n  24 -> 32 [size =\"15086592\"]\n  24 -> 34 [size =\"15086592\"]\n  25 [size=\"112931840\", alpha=\"0.18\", expect_size=\"45172736\"] \n  25 -> 31 [size =\"45172736\"]\n  25 -> 32 [size =\"45172736\"]\n  25 -> 34 [size =\"45172736\"]\n  26 [size=\"91496960\", alpha=\"0.08\", expect_size=\"36598784\"] \n  26 -> 31 [size =\"36598784\"]\n  26 -> 32 [size =\"36598784\"]\n  26 -> 33 [size =\"36598784\"]\n  26 -> 34 [size =\"36598784\"]\n  26 -> 37 [size =\"36598784\"]\n  27 [size=\"29757440\", alpha=\"0.15\", expect_size=\"11902976\"] \n  27 -> 31 [size =\"11902976\"]\n  27 -> 34 [size =\"11902976\"]\n  27 -> 35 [size =\"11902976\"]\n  28 [size=\"40752640\", alpha=\"0.15\", expect_size=\"16301056\"] \n  28 -> 31 [size =\"16301056\"]\n  29 [size=\"81395200\", alpha=\"0.09\", expect_size=\"32558080\"] \n  29 -> 31 [size =\"32558080\"]\n  30 [size=\"28961280\", alpha=\"0.05\", expect_size=\"11584512\"] \n  30 -> 36 [size =\"11584512\"]\n  31 [size=\"119060480\", alpha=\"0.20\", expect_size=\"47624192\"] \n  31 -> 38 [size =\"47624192\"]\n  31 -> 40 [size =\"47624192\"]\n  32 [size=\"77619200\", alpha=\"0.02\", expect_size=\"31047680\"] \n  33 [size=\"112360960\", alpha=\"0.01\", expect_size=\"44944384\"] \n  33 -> 40 [size =\"44944384\"]\n  34 [size=\"54579200\", alpha=\"0.12\", expect_size=\"21831680\"] \n  34 -> 38 [size =\"21831680\"]\n  34 -> 40 [size =\"21831680\"]\n  35 [size=\"55183360\", alpha=\"0.20\", expect_size=\"22073344\"] \n  35 -> 38 [size =\"22073344\"]\n  35 -> 39 [size =\"22073344\"]\n  35 -> 40 [size =\"22073344\"]\n  36 [size=\"43054080\", alpha=\"0.12\", expect_size=\"17221632\"] \n  36 -> 40 [size =\"17221632\"]\n  37 [size=\"89684480\", alpha=\"0.09\", expect_size=\"35873792\"] \n  37 -> 38 [size =\"35873792\"]\n  37 -> 39 [size =\"35873792\"]\n  38 [size=\"58032640\", alpha=\"0.09\", expect_size=\"23213056\"] \n  39 [size=\"26150400\", alpha=\"0.11\", expect_size=\"10460160\"] \n  40 [size=\"81669120\", alpha=\"0.17\", expect_size=\"32667648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61842773\", alpha=\"0.18\", expect_size=\"18552832\"] \n  1 -> 7 [size =\"18552832\"]\n  1 -> 8 [size =\"18552832\"]\n  1 -> 9 [size =\"18552832\"]\n  1 -> 10 [size =\"18552832\"]\n  2 [size=\"108434773\", alpha=\"0.11\", expect_size=\"32530432\"] \n  2 -> 9 [size =\"32530432\"]\n  3 [size=\"24674987\", alpha=\"0.12\", expect_size=\"7402496\"] \n  3 -> 8 [size =\"7402496\"]\n  3 -> 11 [size =\"7402496\"]\n  4 [size=\"64570027\", alpha=\"0.01\", expect_size=\"19371008\"] \n  4 -> 11 [size =\"19371008\"]\n  5 [size=\"101154133\", alpha=\"0.05\", expect_size=\"30346240\"] \n  5 -> 7 [size =\"30346240\"]\n  5 -> 9 [size =\"30346240\"]\n  6 [size=\"70471680\", alpha=\"0.10\", expect_size=\"21141504\"] \n  6 -> 7 [size =\"21141504\"]\n  6 -> 9 [size =\"21141504\"]\n  7 [size=\"134563840\", alpha=\"0.11\", expect_size=\"40369152\"] \n  7 -> 12 [size =\"40369152\"]\n  7 -> 13 [size =\"40369152\"]\n  7 -> 15 [size =\"40369152\"]\n  7 -> 16 [size =\"40369152\"]\n  8 [size=\"139134293\", alpha=\"0.06\", expect_size=\"41740288\"] \n  8 -> 12 [size =\"41740288\"]\n  8 -> 15 [size =\"41740288\"]\n  9 [size=\"45438293\", alpha=\"0.13\", expect_size=\"13631488\"] \n  9 -> 12 [size =\"13631488\"]\n  9 -> 13 [size =\"13631488\"]\n  9 -> 14 [size =\"13631488\"]\n  10 [size=\"69174613\", alpha=\"0.11\", expect_size=\"20752384\"] \n  10 -> 12 [size =\"20752384\"]\n  10 -> 14 [size =\"20752384\"]\n  11 [size=\"151555413\", alpha=\"0.09\", expect_size=\"45466624\"] \n  11 -> 14 [size =\"45466624\"]\n  11 -> 16 [size =\"45466624\"]\n  12 [size=\"137253547\", alpha=\"0.05\", expect_size=\"41176064\"] \n  12 -> 18 [size =\"41176064\"]\n  12 -> 21 [size =\"41176064\"]\n  13 [size=\"70277120\", alpha=\"0.12\", expect_size=\"21083136\"] \n  13 -> 18 [size =\"21083136\"]\n  13 -> 19 [size =\"21083136\"]\n  14 [size=\"168058880\", alpha=\"0.02\", expect_size=\"50417664\"] \n  14 -> 17 [size =\"50417664\"]\n  14 -> 18 [size =\"50417664\"]\n  14 -> 19 [size =\"50417664\"]\n  15 [size=\"20107947\", alpha=\"0.07\", expect_size=\"6032384\"] \n  15 -> 19 [size =\"6032384\"]\n  15 -> 20 [size =\"6032384\"]\n  16 [size=\"56162987\", alpha=\"0.19\", expect_size=\"16848896\"] \n  16 -> 17 [size =\"16848896\"]\n  17 [size=\"136280747\", alpha=\"0.19\", expect_size=\"40884224\"] \n  17 -> 23 [size =\"40884224\"]\n  18 [size=\"63300267\", alpha=\"0.18\", expect_size=\"18990080\"] \n  18 -> 22 [size =\"18990080\"]\n  18 -> 25 [size =\"18990080\"]\n  18 -> 26 [size =\"18990080\"]\n  19 [size=\"113213440\", alpha=\"0.18\", expect_size=\"33964032\"] \n  19 -> 24 [size =\"33964032\"]\n  19 -> 25 [size =\"33964032\"]\n  19 -> 26 [size =\"33964032\"]\n  20 [size=\"56886613\", alpha=\"0.18\", expect_size=\"17065984\"] \n  20 -> 23 [size =\"17065984\"]\n  20 -> 26 [size =\"17065984\"]\n  20 -> 26 [size =\"17065984\"]\n  21 [size=\"144431787\", alpha=\"0.02\", expect_size=\"43329536\"] \n  21 -> 22 [size =\"43329536\"]\n  21 -> 23 [size =\"43329536\"]\n  21 -> 24 [size =\"43329536\"]\n  22 [size=\"57647787\", alpha=\"0.18\", expect_size=\"17294336\"] \n  22 -> 27 [size =\"17294336\"]\n  22 -> 28 [size =\"17294336\"]\n  22 -> 32 [size =\"17294336\"]\n  23 [size=\"99597653\", alpha=\"0.16\", expect_size=\"29879296\"] \n  23 -> 30 [size =\"29879296\"]\n  23 -> 31 [size =\"29879296\"]\n  23 -> 32 [size =\"29879296\"]\n  24 [size=\"36396373\", alpha=\"0.19\", expect_size=\"10918912\"] \n  24 -> 28 [size =\"10918912\"]\n  24 -> 29 [size =\"10918912\"]\n  24 -> 32 [size =\"10918912\"]\n  25 [size=\"51203413\", alpha=\"0.13\", expect_size=\"15361024\"] \n  25 -> 28 [size =\"15361024\"]\n  26 [size=\"108875093\", alpha=\"0.13\", expect_size=\"32662528\"] \n  26 -> 27 [size =\"32662528\"]\n  26 -> 28 [size =\"32662528\"]\n  26 -> 29 [size =\"32662528\"]\n  26 -> 31 [size =\"32662528\"]\n  27 [size=\"103331840\", alpha=\"0.08\", expect_size=\"30999552\"] \n  27 -> 37 [size =\"30999552\"]\n  28 [size=\"95426560\", alpha=\"0.19\", expect_size=\"28627968\"] \n  28 -> 33 [size =\"28627968\"]\n  29 [size=\"80773120\", alpha=\"0.14\", expect_size=\"24231936\"] \n  29 -> 33 [size =\"24231936\"]\n  29 -> 34 [size =\"24231936\"]\n  30 [size=\"68908373\", alpha=\"0.15\", expect_size=\"20672512\"] \n  30 -> 33 [size =\"20672512\"]\n  30 -> 38 [size =\"20672512\"]\n  31 [size=\"49469440\", alpha=\"0.13\", expect_size=\"14840832\"] \n  31 -> 35 [size =\"14840832\"]\n  31 -> 38 [size =\"14840832\"]\n  32 [size=\"66826240\", alpha=\"0.06\", expect_size=\"20047872\"] \n  32 -> 36 [size =\"20047872\"]\n  32 -> 38 [size =\"20047872\"]\n  33 [size=\"54644053\", alpha=\"0.06\", expect_size=\"16393216\"] \n  33 -> 39 [size =\"16393216\"]\n  34 [size=\"20131840\", alpha=\"0.05\", expect_size=\"6039552\"] \n  34 -> 39 [size =\"6039552\"]\n  35 [size=\"167666347\", alpha=\"0.05\", expect_size=\"50299904\"] \n  35 -> 39 [size =\"50299904\"]\n  35 -> 40 [size =\"50299904\"]\n  36 [size=\"109069653\", alpha=\"0.09\", expect_size=\"32720896\"] \n  36 -> 39 [size =\"32720896\"]\n  36 -> 40 [size =\"32720896\"]\n  37 [size=\"54626987\", alpha=\"0.09\", expect_size=\"16388096\"] \n  38 [size=\"121422507\", alpha=\"0.14\", expect_size=\"36426752\"] \n  38 -> 40 [size =\"36426752\"]\n  39 [size=\"116548267\", alpha=\"0.12\", expect_size=\"34964480\"] \n  40 [size=\"67969707\", alpha=\"0.14\", expect_size=\"20390912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59668480\", alpha=\"0.09\", expect_size=\"23867392\"] \n  1 -> 9 [size =\"23867392\"]\n  1 -> 10 [size =\"23867392\"]\n  1 -> 11 [size =\"23867392\"]\n  2 [size=\"60776960\", alpha=\"0.04\", expect_size=\"24310784\"] \n  2 -> 8 [size =\"24310784\"]\n  2 -> 9 [size =\"24310784\"]\n  2 -> 10 [size =\"24310784\"]\n  2 -> 11 [size =\"24310784\"]\n  2 -> 12 [size =\"24310784\"]\n  3 [size=\"16819200\", alpha=\"0.10\", expect_size=\"6727680\"] \n  3 -> 9 [size =\"6727680\"]\n  3 -> 11 [size =\"6727680\"]\n  4 [size=\"52160000\", alpha=\"0.18\", expect_size=\"20864000\"] \n  4 -> 9 [size =\"20864000\"]\n  4 -> 10 [size =\"20864000\"]\n  4 -> 11 [size =\"20864000\"]\n  4 -> 12 [size =\"20864000\"]\n  5 [size=\"93388800\", alpha=\"0.03\", expect_size=\"37355520\"] \n  5 -> 8 [size =\"37355520\"]\n  5 -> 9 [size =\"37355520\"]\n  5 -> 10 [size =\"37355520\"]\n  5 -> 12 [size =\"37355520\"]\n  6 [size=\"23006720\", alpha=\"0.20\", expect_size=\"9202688\"] \n  6 -> 9 [size =\"9202688\"]\n  6 -> 10 [size =\"9202688\"]\n  6 -> 10 [size =\"9202688\"]\n  6 -> 12 [size =\"9202688\"]\n  7 [size=\"33139200\", alpha=\"0.05\", expect_size=\"13255680\"] \n  7 -> 9 [size =\"13255680\"]\n  7 -> 11 [size =\"13255680\"]\n  7 -> 12 [size =\"13255680\"]\n  7 -> 12 [size =\"13255680\"]\n  8 [size=\"120266240\", alpha=\"0.05\", expect_size=\"48106496\"] \n  8 -> 16 [size =\"48106496\"]\n  9 [size=\"29685760\", alpha=\"0.14\", expect_size=\"11874304\"] \n  9 -> 13 [size =\"11874304\"]\n  10 [size=\"91148800\", alpha=\"0.07\", expect_size=\"36459520\"] \n  10 -> 16 [size =\"36459520\"]\n  11 [size=\"45888000\", alpha=\"0.18\", expect_size=\"18355200\"] \n  11 -> 14 [size =\"18355200\"]\n  11 -> 16 [size =\"18355200\"]\n  12 [size=\"96739840\", alpha=\"0.10\", expect_size=\"38695936\"] \n  12 -> 13 [size =\"38695936\"]\n  12 -> 15 [size =\"38695936\"]\n  12 -> 16 [size =\"38695936\"]\n  13 [size=\"118136320\", alpha=\"0.06\", expect_size=\"47254528\"] \n  13 -> 17 [size =\"47254528\"]\n  13 -> 18 [size =\"47254528\"]\n  13 -> 19 [size =\"47254528\"]\n  13 -> 20 [size =\"47254528\"]\n  13 -> 21 [size =\"47254528\"]\n  14 [size=\"57894400\", alpha=\"0.13\", expect_size=\"23157760\"] \n  14 -> 17 [size =\"23157760\"]\n  14 -> 18 [size =\"23157760\"]\n  14 -> 19 [size =\"23157760\"]\n  14 -> 20 [size =\"23157760\"]\n  14 -> 21 [size =\"23157760\"]\n  15 [size=\"44725760\", alpha=\"0.11\", expect_size=\"17890304\"] \n  15 -> 18 [size =\"17890304\"]\n  15 -> 18 [size =\"17890304\"]\n  15 -> 19 [size =\"17890304\"]\n  15 -> 20 [size =\"17890304\"]\n  16 [size=\"61391360\", alpha=\"0.02\", expect_size=\"24556544\"] \n  16 -> 17 [size =\"24556544\"]\n  16 -> 19 [size =\"24556544\"]\n  16 -> 20 [size =\"24556544\"]\n  17 [size=\"58511360\", alpha=\"0.10\", expect_size=\"23404544\"] \n  17 -> 22 [size =\"23404544\"]\n  17 -> 23 [size =\"23404544\"]\n  17 -> 24 [size =\"23404544\"]\n  17 -> 25 [size =\"23404544\"]\n  17 -> 26 [size =\"23404544\"]\n  17 -> 27 [size =\"23404544\"]\n  18 [size=\"85652480\", alpha=\"0.04\", expect_size=\"34260992\"] \n  18 -> 22 [size =\"34260992\"]\n  18 -> 23 [size =\"34260992\"]\n  18 -> 24 [size =\"34260992\"]\n  18 -> 25 [size =\"34260992\"]\n  19 [size=\"112750080\", alpha=\"0.01\", expect_size=\"45100032\"] \n  19 -> 22 [size =\"45100032\"]\n  19 -> 23 [size =\"45100032\"]\n  19 -> 24 [size =\"45100032\"]\n  19 -> 25 [size =\"45100032\"]\n  20 [size=\"76925440\", alpha=\"0.06\", expect_size=\"30770176\"] \n  20 -> 22 [size =\"30770176\"]\n  20 -> 23 [size =\"30770176\"]\n  20 -> 24 [size =\"30770176\"]\n  20 -> 26 [size =\"30770176\"]\n  21 [size=\"116459520\", alpha=\"0.19\", expect_size=\"46583808\"] \n  21 -> 23 [size =\"46583808\"]\n  21 -> 24 [size =\"46583808\"]\n  21 -> 26 [size =\"46583808\"]\n  21 -> 27 [size =\"46583808\"]\n  22 [size=\"104488960\", alpha=\"0.19\", expect_size=\"41795584\"] \n  22 -> 29 [size =\"41795584\"]\n  22 -> 30 [size =\"41795584\"]\n  23 [size=\"48148480\", alpha=\"0.01\", expect_size=\"19259392\"] \n  23 -> 28 [size =\"19259392\"]\n  23 -> 29 [size =\"19259392\"]\n  23 -> 32 [size =\"19259392\"]\n  24 [size=\"80747520\", alpha=\"0.09\", expect_size=\"32299008\"] \n  24 -> 30 [size =\"32299008\"]\n  24 -> 31 [size =\"32299008\"]\n  25 [size=\"40936960\", alpha=\"0.10\", expect_size=\"16374784\"] \n  25 -> 30 [size =\"16374784\"]\n  25 -> 31 [size =\"16374784\"]\n  26 [size=\"105576960\", alpha=\"0.14\", expect_size=\"42230784\"] \n  27 [size=\"118604800\", alpha=\"0.00\", expect_size=\"47441920\"] \n  27 -> 30 [size =\"47441920\"]\n  28 [size=\"58726400\", alpha=\"0.05\", expect_size=\"23490560\"] \n  28 -> 33 [size =\"23490560\"]\n  28 -> 34 [size =\"23490560\"]\n  28 -> 35 [size =\"23490560\"]\n  28 -> 36 [size =\"23490560\"]\n  28 -> 37 [size =\"23490560\"]\n  29 [size=\"80972800\", alpha=\"0.13\", expect_size=\"32389120\"] \n  29 -> 33 [size =\"32389120\"]\n  29 -> 34 [size =\"32389120\"]\n  29 -> 35 [size =\"32389120\"]\n  29 -> 37 [size =\"32389120\"]\n  29 -> 38 [size =\"32389120\"]\n  30 [size=\"87083520\", alpha=\"0.14\", expect_size=\"34833408\"] \n  30 -> 33 [size =\"34833408\"]\n  30 -> 34 [size =\"34833408\"]\n  30 -> 35 [size =\"34833408\"]\n  30 -> 36 [size =\"34833408\"]\n  30 -> 37 [size =\"34833408\"]\n  31 [size=\"121538560\", alpha=\"0.00\", expect_size=\"48615424\"] \n  31 -> 33 [size =\"48615424\"]\n  31 -> 35 [size =\"48615424\"]\n  31 -> 37 [size =\"48615424\"]\n  32 [size=\"112934400\", alpha=\"0.01\", expect_size=\"45173760\"] \n  32 -> 33 [size =\"45173760\"]\n  32 -> 34 [size =\"45173760\"]\n  32 -> 35 [size =\"45173760\"]\n  32 -> 36 [size =\"45173760\"]\n  32 -> 37 [size =\"45173760\"]\n  33 [size=\"108945920\", alpha=\"0.20\", expect_size=\"43578368\"] \n  33 -> 39 [size =\"43578368\"]\n  33 -> 40 [size =\"43578368\"]\n  34 [size=\"113285120\", alpha=\"0.06\", expect_size=\"45314048\"] \n  34 -> 39 [size =\"45314048\"]\n  34 -> 40 [size =\"45314048\"]\n  35 [size=\"47037440\", alpha=\"0.17\", expect_size=\"18814976\"] \n  35 -> 39 [size =\"18814976\"]\n  35 -> 40 [size =\"18814976\"]\n  36 [size=\"108456960\", alpha=\"0.17\", expect_size=\"43382784\"] \n  36 -> 39 [size =\"43382784\"]\n  36 -> 40 [size =\"43382784\"]\n  37 [size=\"71508480\", alpha=\"0.04\", expect_size=\"28603392\"] \n  37 -> 39 [size =\"28603392\"]\n  37 -> 40 [size =\"28603392\"]\n  38 [size=\"74191360\", alpha=\"0.04\", expect_size=\"29676544\"] \n  38 -> 39 [size =\"29676544\"]\n  38 -> 40 [size =\"29676544\"]\n  39 [size=\"105704960\", alpha=\"0.00\", expect_size=\"42281984\"] \n  40 [size=\"64663040\", alpha=\"0.07\", expect_size=\"25865216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29958144\", alpha=\"0.15\", expect_size=\"14979072\"] \n  1 -> 10 [size =\"14979072\"]\n  2 [size=\"52955136\", alpha=\"0.09\", expect_size=\"26477568\"] \n  2 -> 8 [size =\"26477568\"]\n  2 -> 9 [size =\"26477568\"]\n  2 -> 12 [size =\"26477568\"]\n  3 [size=\"84572160\", alpha=\"0.13\", expect_size=\"42286080\"] \n  3 -> 7 [size =\"42286080\"]\n  3 -> 12 [size =\"42286080\"]\n  4 [size=\"90961920\", alpha=\"0.15\", expect_size=\"45480960\"] \n  4 -> 8 [size =\"45480960\"]\n  4 -> 10 [size =\"45480960\"]\n  5 [size=\"30531584\", alpha=\"0.10\", expect_size=\"15265792\"] \n  5 -> 8 [size =\"15265792\"]\n  5 -> 9 [size =\"15265792\"]\n  5 -> 12 [size =\"15265792\"]\n  6 [size=\"62148608\", alpha=\"0.00\", expect_size=\"31074304\"] \n  6 -> 8 [size =\"31074304\"]\n  6 -> 10 [size =\"31074304\"]\n  6 -> 11 [size =\"31074304\"]\n  7 [size=\"98715648\", alpha=\"0.05\", expect_size=\"49357824\"] \n  7 -> 13 [size =\"49357824\"]\n  7 -> 14 [size =\"49357824\"]\n  7 -> 15 [size =\"49357824\"]\n  8 [size=\"49750016\", alpha=\"0.09\", expect_size=\"24875008\"] \n  8 -> 13 [size =\"24875008\"]\n  8 -> 14 [size =\"24875008\"]\n  8 -> 15 [size =\"24875008\"]\n  8 -> 18 [size =\"24875008\"]\n  9 [size=\"22996992\", alpha=\"0.04\", expect_size=\"11498496\"] \n  9 -> 17 [size =\"11498496\"]\n  9 -> 18 [size =\"11498496\"]\n  10 [size=\"33089536\", alpha=\"0.00\", expect_size=\"16544768\"] \n  10 -> 15 [size =\"16544768\"]\n  10 -> 16 [size =\"16544768\"]\n  10 -> 18 [size =\"16544768\"]\n  11 [size=\"67158016\", alpha=\"0.10\", expect_size=\"33579008\"] \n  12 [size=\"41943040\", alpha=\"0.15\", expect_size=\"20971520\"] \n  12 -> 13 [size =\"20971520\"]\n  12 -> 14 [size =\"20971520\"]\n  12 -> 15 [size =\"20971520\"]\n  13 [size=\"82192384\", alpha=\"0.05\", expect_size=\"41096192\"] \n  13 -> 21 [size =\"41096192\"]\n  13 -> 22 [size =\"41096192\"]\n  14 [size=\"51349504\", alpha=\"0.12\", expect_size=\"25674752\"] \n  14 -> 19 [size =\"25674752\"]\n  15 [size=\"29884416\", alpha=\"0.09\", expect_size=\"14942208\"] \n  15 -> 19 [size =\"14942208\"]\n  16 [size=\"76478464\", alpha=\"0.05\", expect_size=\"38239232\"] \n  16 -> 20 [size =\"38239232\"]\n  17 [size=\"78495744\", alpha=\"0.07\", expect_size=\"39247872\"] \n  17 -> 22 [size =\"39247872\"]\n  18 [size=\"104212480\", alpha=\"0.18\", expect_size=\"52106240\"] \n  18 -> 19 [size =\"52106240\"]\n  18 -> 21 [size =\"52106240\"]\n  18 -> 22 [size =\"52106240\"]\n  19 [size=\"50178048\", alpha=\"0.20\", expect_size=\"25089024\"] \n  19 -> 25 [size =\"25089024\"]\n  19 -> 26 [size =\"25089024\"]\n  19 -> 27 [size =\"25089024\"]\n  19 -> 28 [size =\"25089024\"]\n  20 [size=\"68993024\", alpha=\"0.19\", expect_size=\"34496512\"] \n  20 -> 23 [size =\"34496512\"]\n  20 -> 24 [size =\"34496512\"]\n  20 -> 28 [size =\"34496512\"]\n  21 [size=\"70651904\", alpha=\"0.03\", expect_size=\"35325952\"] \n  21 -> 25 [size =\"35325952\"]\n  21 -> 29 [size =\"35325952\"]\n  22 [size=\"25608192\", alpha=\"0.16\", expect_size=\"12804096\"] \n  22 -> 25 [size =\"12804096\"]\n  22 -> 27 [size =\"12804096\"]\n  22 -> 29 [size =\"12804096\"]\n  23 [size=\"96382976\", alpha=\"0.04\", expect_size=\"48191488\"] \n  23 -> 35 [size =\"48191488\"]\n  24 [size=\"26912768\", alpha=\"0.10\", expect_size=\"13456384\"] \n  24 -> 32 [size =\"13456384\"]\n  24 -> 34 [size =\"13456384\"]\n  25 [size=\"85667840\", alpha=\"0.20\", expect_size=\"42833920\"] \n  25 -> 31 [size =\"42833920\"]\n  25 -> 34 [size =\"42833920\"]\n  25 -> 36 [size =\"42833920\"]\n  26 [size=\"33474560\", alpha=\"0.00\", expect_size=\"16737280\"] \n  26 -> 34 [size =\"16737280\"]\n  26 -> 35 [size =\"16737280\"]\n  27 [size=\"59146240\", alpha=\"0.20\", expect_size=\"29573120\"] \n  27 -> 30 [size =\"29573120\"]\n  27 -> 32 [size =\"29573120\"]\n  27 -> 33 [size =\"29573120\"]\n  27 -> 35 [size =\"29573120\"]\n  27 -> 36 [size =\"29573120\"]\n  28 [size=\"93140992\", alpha=\"0.08\", expect_size=\"46570496\"] \n  28 -> 30 [size =\"46570496\"]\n  28 -> 31 [size =\"46570496\"]\n  28 -> 32 [size =\"46570496\"]\n  28 -> 34 [size =\"46570496\"]\n  28 -> 35 [size =\"46570496\"]\n  29 [size=\"83234816\", alpha=\"0.18\", expect_size=\"41617408\"] \n  29 -> 31 [size =\"41617408\"]\n  29 -> 32 [size =\"41617408\"]\n  29 -> 35 [size =\"41617408\"]\n  30 [size=\"82110464\", alpha=\"0.13\", expect_size=\"41055232\"] \n  30 -> 40 [size =\"41055232\"]\n  31 [size=\"79292416\", alpha=\"0.00\", expect_size=\"39646208\"] \n  31 -> 37 [size =\"39646208\"]\n  31 -> 38 [size =\"39646208\"]\n  31 -> 39 [size =\"39646208\"]\n  32 [size=\"94255104\", alpha=\"0.14\", expect_size=\"47127552\"] \n  32 -> 39 [size =\"47127552\"]\n  32 -> 40 [size =\"47127552\"]\n  33 [size=\"75098112\", alpha=\"0.03\", expect_size=\"37549056\"] \n  34 [size=\"95905792\", alpha=\"0.01\", expect_size=\"47952896\"] \n  34 -> 40 [size =\"47952896\"]\n  35 [size=\"48416768\", alpha=\"0.03\", expect_size=\"24208384\"] \n  35 -> 38 [size =\"24208384\"]\n  36 [size=\"47046656\", alpha=\"0.19\", expect_size=\"23523328\"] \n  37 [size=\"49088512\", alpha=\"0.09\", expect_size=\"24544256\"] \n  38 [size=\"48398336\", alpha=\"0.19\", expect_size=\"24199168\"] \n  39 [size=\"84240384\", alpha=\"0.17\", expect_size=\"42120192\"] \n  40 [size=\"74760192\", alpha=\"0.08\", expect_size=\"37380096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18805760\", alpha=\"0.11\", expect_size=\"7522304\"] \n  1 -> 2 [size =\"7522304\"]\n  1 -> 3 [size =\"7522304\"]\n  2 [size=\"71357440\", alpha=\"0.07\", expect_size=\"28542976\"] \n  2 -> 4 [size =\"28542976\"]\n  2 -> 5 [size =\"28542976\"]\n  3 [size=\"92211200\", alpha=\"0.18\", expect_size=\"36884480\"] \n  4 [size=\"88788480\", alpha=\"0.16\", expect_size=\"35515392\"] \n  4 -> 7 [size =\"35515392\"]\n  4 -> 9 [size =\"35515392\"]\n  5 [size=\"58209280\", alpha=\"0.17\", expect_size=\"23283712\"] \n  5 -> 6 [size =\"23283712\"]\n  5 -> 8 [size =\"23283712\"]\n  6 [size=\"79324160\", alpha=\"0.17\", expect_size=\"31729664\"] \n  6 -> 11 [size =\"31729664\"]\n  7 [size=\"128312320\", alpha=\"0.14\", expect_size=\"51324928\"] \n  8 [size=\"102369280\", alpha=\"0.20\", expect_size=\"40947712\"] \n  8 -> 10 [size =\"40947712\"]\n  9 [size=\"45429760\", alpha=\"0.04\", expect_size=\"18171904\"] \n  9 -> 10 [size =\"18171904\"]\n  10 [size=\"35481600\", alpha=\"0.04\", expect_size=\"14192640\"] \n  10 -> 12 [size =\"14192640\"]\n  10 -> 13 [size =\"14192640\"]\n  11 [size=\"130859520\", alpha=\"0.10\", expect_size=\"52343808\"] \n  11 -> 14 [size =\"52343808\"]\n  12 [size=\"76866560\", alpha=\"0.08\", expect_size=\"30746624\"] \n  12 -> 17 [size =\"30746624\"]\n  12 -> 18 [size =\"30746624\"]\n  13 [size=\"119272960\", alpha=\"0.05\", expect_size=\"47709184\"] \n  13 -> 15 [size =\"47709184\"]\n  13 -> 16 [size =\"47709184\"]\n  13 -> 17 [size =\"47709184\"]\n  14 [size=\"107814400\", alpha=\"0.12\", expect_size=\"43125760\"] \n  15 [size=\"82762240\", alpha=\"0.18\", expect_size=\"33104896\"] \n  15 -> 21 [size =\"33104896\"]\n  16 [size=\"67942400\", alpha=\"0.11\", expect_size=\"27176960\"] \n  16 -> 21 [size =\"27176960\"]\n  17 [size=\"50117120\", alpha=\"0.16\", expect_size=\"20046848\"] \n  17 -> 20 [size =\"20046848\"]\n  18 [size=\"16803840\", alpha=\"0.06\", expect_size=\"6721536\"] \n  18 -> 19 [size =\"6721536\"]\n  18 -> 20 [size =\"6721536\"]\n  19 [size=\"15641600\", alpha=\"0.16\", expect_size=\"6256640\"] \n  19 -> 23 [size =\"6256640\"]\n  20 [size=\"39557120\", alpha=\"0.16\", expect_size=\"15822848\"] \n  20 -> 22 [size =\"15822848\"]\n  20 -> 23 [size =\"15822848\"]\n  21 [size=\"64744960\", alpha=\"0.16\", expect_size=\"25897984\"] \n  22 [size=\"120829440\", alpha=\"0.06\", expect_size=\"48331776\"] \n  22 -> 24 [size =\"48331776\"]\n  23 [size=\"49310720\", alpha=\"0.10\", expect_size=\"19724288\"] \n  23 -> 24 [size =\"19724288\"]\n  23 -> 25 [size =\"19724288\"]\n  24 [size=\"77724160\", alpha=\"0.06\", expect_size=\"31089664\"] \n  24 -> 26 [size =\"31089664\"]\n  25 [size=\"28211200\", alpha=\"0.10\", expect_size=\"11284480\"] \n  25 -> 26 [size =\"11284480\"]\n  25 -> 27 [size =\"11284480\"]\n  25 -> 28 [size =\"11284480\"]\n  26 [size=\"19340800\", alpha=\"0.06\", expect_size=\"7736320\"] \n  26 -> 29 [size =\"7736320\"]\n  27 [size=\"86748160\", alpha=\"0.01\", expect_size=\"34699264\"] \n  28 [size=\"61544960\", alpha=\"0.11\", expect_size=\"24617984\"] \n  29 [size=\"96107520\", alpha=\"0.06\", expect_size=\"38443008\"] \n  29 -> 30 [size =\"38443008\"]\n  29 -> 31 [size =\"38443008\"]\n  30 [size=\"73034240\", alpha=\"0.06\", expect_size=\"29213696\"] \n  30 -> 33 [size =\"29213696\"]\n  30 -> 34 [size =\"29213696\"]\n  30 -> 35 [size =\"29213696\"]\n  31 [size=\"46494720\", alpha=\"0.05\", expect_size=\"18597888\"] \n  31 -> 32 [size =\"18597888\"]\n  31 -> 33 [size =\"18597888\"]\n  31 -> 34 [size =\"18597888\"]\n  32 [size=\"22195200\", alpha=\"0.15\", expect_size=\"8878080\"] \n  32 -> 37 [size =\"8878080\"]\n  33 [size=\"58385920\", alpha=\"0.03\", expect_size=\"23354368\"] \n  33 -> 37 [size =\"23354368\"]\n  34 [size=\"116203520\", alpha=\"0.07\", expect_size=\"46481408\"] \n  34 -> 36 [size =\"46481408\"]\n  35 [size=\"35402240\", alpha=\"0.03\", expect_size=\"14160896\"] \n  36 [size=\"97018880\", alpha=\"0.08\", expect_size=\"38807552\"] \n  36 -> 38 [size =\"38807552\"]\n  37 [size=\"13378560\", alpha=\"0.20\", expect_size=\"5351424\"] \n  38 [size=\"17648640\", alpha=\"0.12\", expect_size=\"7059456\"] \n  38 -> 39 [size =\"7059456\"]\n  38 -> 40 [size =\"7059456\"]\n  39 [size=\"81131520\", alpha=\"0.05\", expect_size=\"32452608\"] \n  40 [size=\"118182400\", alpha=\"0.02\", expect_size=\"47272960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77103787\", alpha=\"0.15\", expect_size=\"23131136\"] \n  1 -> 39 [size =\"23131136\"]\n  2 [size=\"58719573\", alpha=\"0.06\", expect_size=\"17615872\"] \n  2 -> 39 [size =\"17615872\"]\n  2 -> 40 [size =\"17615872\"]\n  3 [size=\"114841600\", alpha=\"0.19\", expect_size=\"34452480\"] \n  4 [size=\"26074453\", alpha=\"0.08\", expect_size=\"7822336\"] \n  4 -> 40 [size =\"7822336\"]\n  5 [size=\"96372053\", alpha=\"0.04\", expect_size=\"28911616\"] \n  5 -> 39 [size =\"28911616\"]\n  5 -> 40 [size =\"28911616\"]\n  6 [size=\"157890560\", alpha=\"0.11\", expect_size=\"47367168\"] \n  6 -> 39 [size =\"47367168\"]\n  7 [size=\"92296533\", alpha=\"0.19\", expect_size=\"27688960\"] \n  7 -> 40 [size =\"27688960\"]\n  8 [size=\"29330773\", alpha=\"0.08\", expect_size=\"8799232\"] \n  9 [size=\"20213760\", alpha=\"0.12\", expect_size=\"6064128\"] \n  10 [size=\"44858027\", alpha=\"0.11\", expect_size=\"13457408\"] \n  10 -> 40 [size =\"13457408\"]\n  11 [size=\"105663147\", alpha=\"0.16\", expect_size=\"31698944\"] \n  11 -> 39 [size =\"31698944\"]\n  12 [size=\"67857067\", alpha=\"0.08\", expect_size=\"20357120\"] \n  13 [size=\"114944000\", alpha=\"0.06\", expect_size=\"34483200\"] \n  13 -> 39 [size =\"34483200\"]\n  14 [size=\"110602240\", alpha=\"0.00\", expect_size=\"33180672\"] \n  14 -> 39 [size =\"33180672\"]\n  15 [size=\"172342613\", alpha=\"0.02\", expect_size=\"51702784\"] \n  15 -> 39 [size =\"51702784\"]\n  15 -> 40 [size =\"51702784\"]\n  16 [size=\"49739093\", alpha=\"0.15\", expect_size=\"14921728\"] \n  17 [size=\"134877867\", alpha=\"0.18\", expect_size=\"40463360\"] \n  17 -> 39 [size =\"40463360\"]\n  18 [size=\"128433493\", alpha=\"0.17\", expect_size=\"38530048\"] \n  18 -> 39 [size =\"38530048\"]\n  19 [size=\"34116267\", alpha=\"0.11\", expect_size=\"10234880\"] \n  19 -> 39 [size =\"10234880\"]\n  20 [size=\"129894400\", alpha=\"0.04\", expect_size=\"38968320\"] \n  21 [size=\"58060800\", alpha=\"0.05\", expect_size=\"17418240\"] \n  22 [size=\"25299627\", alpha=\"0.11\", expect_size=\"7589888\"] \n  23 [size=\"84473173\", alpha=\"0.10\", expect_size=\"25341952\"] \n  23 -> 39 [size =\"25341952\"]\n  23 -> 40 [size =\"25341952\"]\n  24 [size=\"128539307\", alpha=\"0.09\", expect_size=\"38561792\"] \n  25 [size=\"130341547\", alpha=\"0.19\", expect_size=\"39102464\"] \n  25 -> 40 [size =\"39102464\"]\n  26 [size=\"147097600\", alpha=\"0.07\", expect_size=\"44129280\"] \n  27 [size=\"110738773\", alpha=\"0.04\", expect_size=\"33221632\"] \n  27 -> 40 [size =\"33221632\"]\n  28 [size=\"91112107\", alpha=\"0.02\", expect_size=\"27333632\"] \n  28 -> 39 [size =\"27333632\"]\n  29 [size=\"69253120\", alpha=\"0.01\", expect_size=\"20775936\"] \n  29 -> 39 [size =\"20775936\"]\n  30 [size=\"152773973\", alpha=\"0.03\", expect_size=\"45832192\"] \n  30 -> 39 [size =\"45832192\"]\n  31 [size=\"26722987\", alpha=\"0.17\", expect_size=\"8016896\"] \n  31 -> 39 [size =\"8016896\"]\n  32 [size=\"65297067\", alpha=\"0.17\", expect_size=\"19589120\"] \n  32 -> 39 [size =\"19589120\"]\n  33 [size=\"152463360\", alpha=\"0.09\", expect_size=\"45739008\"] \n  33 -> 39 [size =\"45739008\"]\n  34 [size=\"71007573\", alpha=\"0.14\", expect_size=\"21302272\"] \n  34 -> 39 [size =\"21302272\"]\n  35 [size=\"144107520\", alpha=\"0.18\", expect_size=\"43232256\"] \n  35 -> 40 [size =\"43232256\"]\n  36 [size=\"136082773\", alpha=\"0.06\", expect_size=\"40824832\"] \n  36 -> 40 [size =\"40824832\"]\n  37 [size=\"30064640\", alpha=\"0.09\", expect_size=\"9019392\"] \n  38 [size=\"58156373\", alpha=\"0.06\", expect_size=\"17446912\"] \n  38 -> 40 [size =\"17446912\"]\n  39 [size=\"74932907\", alpha=\"0.05\", expect_size=\"22479872\"] \n  40 [size=\"83128320\", alpha=\"0.18\", expect_size=\"24938496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103763968\", alpha=\"0.13\", expect_size=\"51881984\"] \n  1 -> 24 [size =\"51881984\"]\n  1 -> 26 [size =\"51881984\"]\n  1 -> 28 [size =\"51881984\"]\n  1 -> 31 [size =\"51881984\"]\n  1 -> 38 [size =\"51881984\"]\n  1 -> 40 [size =\"51881984\"]\n  2 [size=\"77355008\", alpha=\"0.18\", expect_size=\"38677504\"] \n  2 -> 26 [size =\"38677504\"]\n  2 -> 28 [size =\"38677504\"]\n  2 -> 33 [size =\"38677504\"]\n  2 -> 34 [size =\"38677504\"]\n  3 [size=\"32716800\", alpha=\"0.20\", expect_size=\"16358400\"] \n  3 -> 26 [size =\"16358400\"]\n  3 -> 27 [size =\"16358400\"]\n  3 -> 29 [size =\"16358400\"]\n  3 -> 34 [size =\"16358400\"]\n  4 [size=\"46825472\", alpha=\"0.10\", expect_size=\"23412736\"] \n  4 -> 27 [size =\"23412736\"]\n  4 -> 31 [size =\"23412736\"]\n  5 [size=\"104165376\", alpha=\"0.12\", expect_size=\"52082688\"] \n  5 -> 27 [size =\"52082688\"]\n  5 -> 28 [size =\"52082688\"]\n  5 -> 32 [size =\"52082688\"]\n  5 -> 33 [size =\"52082688\"]\n  5 -> 40 [size =\"52082688\"]\n  6 [size=\"51128320\", alpha=\"0.08\", expect_size=\"25564160\"] \n  6 -> 22 [size =\"25564160\"]\n  6 -> 24 [size =\"25564160\"]\n  6 -> 26 [size =\"25564160\"]\n  6 -> 27 [size =\"25564160\"]\n  6 -> 28 [size =\"25564160\"]\n  6 -> 29 [size =\"25564160\"]\n  6 -> 30 [size =\"25564160\"]\n  6 -> 31 [size =\"25564160\"]\n  6 -> 32 [size =\"25564160\"]\n  6 -> 33 [size =\"25564160\"]\n  6 -> 37 [size =\"25564160\"]\n  7 [size=\"70098944\", alpha=\"0.08\", expect_size=\"35049472\"] \n  7 -> 22 [size =\"35049472\"]\n  7 -> 24 [size =\"35049472\"]\n  7 -> 28 [size =\"35049472\"]\n  7 -> 31 [size =\"35049472\"]\n  7 -> 33 [size =\"35049472\"]\n  8 [size=\"41736192\", alpha=\"0.18\", expect_size=\"20868096\"] \n  8 -> 31 [size =\"20868096\"]\n  8 -> 33 [size =\"20868096\"]\n  8 -> 34 [size =\"20868096\"]\n  8 -> 38 [size =\"20868096\"]\n  8 -> 39 [size =\"20868096\"]\n  9 [size=\"53256192\", alpha=\"0.16\", expect_size=\"26628096\"] \n  9 -> 24 [size =\"26628096\"]\n  9 -> 27 [size =\"26628096\"]\n  9 -> 28 [size =\"26628096\"]\n  9 -> 32 [size =\"26628096\"]\n  9 -> 39 [size =\"26628096\"]\n  10 [size=\"40820736\", alpha=\"0.19\", expect_size=\"20410368\"] \n  10 -> 22 [size =\"20410368\"]\n  10 -> 23 [size =\"20410368\"]\n  10 -> 24 [size =\"20410368\"]\n  10 -> 25 [size =\"20410368\"]\n  10 -> 28 [size =\"20410368\"]\n  10 -> 36 [size =\"20410368\"]\n  10 -> 37 [size =\"20410368\"]\n  11 [size=\"61282304\", alpha=\"0.07\", expect_size=\"30641152\"] \n  11 -> 23 [size =\"30641152\"]\n  11 -> 27 [size =\"30641152\"]\n  11 -> 28 [size =\"30641152\"]\n  11 -> 30 [size =\"30641152\"]\n  11 -> 33 [size =\"30641152\"]\n  11 -> 35 [size =\"30641152\"]\n  12 [size=\"26619904\", alpha=\"0.04\", expect_size=\"13309952\"] \n  12 -> 22 [size =\"13309952\"]\n  12 -> 25 [size =\"13309952\"]\n  12 -> 27 [size =\"13309952\"]\n  12 -> 34 [size =\"13309952\"]\n  12 -> 35 [size =\"13309952\"]\n  12 -> 39 [size =\"13309952\"]\n  13 [size=\"16758784\", alpha=\"0.05\", expect_size=\"8379392\"] \n  13 -> 25 [size =\"8379392\"]\n  13 -> 27 [size =\"8379392\"]\n  13 -> 33 [size =\"8379392\"]\n  13 -> 37 [size =\"8379392\"]\n  14 [size=\"16642048\", alpha=\"0.06\", expect_size=\"8321024\"] \n  14 -> 22 [size =\"8321024\"]\n  14 -> 27 [size =\"8321024\"]\n  14 -> 30 [size =\"8321024\"]\n  14 -> 36 [size =\"8321024\"]\n  14 -> 39 [size =\"8321024\"]\n  15 [size=\"64311296\", alpha=\"0.07\", expect_size=\"32155648\"] \n  15 -> 25 [size =\"32155648\"]\n  15 -> 27 [size =\"32155648\"]\n  15 -> 30 [size =\"32155648\"]\n  15 -> 31 [size =\"32155648\"]\n  15 -> 32 [size =\"32155648\"]\n  15 -> 34 [size =\"32155648\"]\n  15 -> 35 [size =\"32155648\"]\n  16 [size=\"26060800\", alpha=\"0.18\", expect_size=\"13030400\"] \n  16 -> 25 [size =\"13030400\"]\n  16 -> 26 [size =\"13030400\"]\n  16 -> 30 [size =\"13030400\"]\n  16 -> 31 [size =\"13030400\"]\n  16 -> 32 [size =\"13030400\"]\n  17 [size=\"61763584\", alpha=\"0.12\", expect_size=\"30881792\"] \n  17 -> 22 [size =\"30881792\"]\n  17 -> 25 [size =\"30881792\"]\n  17 -> 27 [size =\"30881792\"]\n  17 -> 28 [size =\"30881792\"]\n  17 -> 30 [size =\"30881792\"]\n  17 -> 31 [size =\"30881792\"]\n  17 -> 32 [size =\"30881792\"]\n  17 -> 33 [size =\"30881792\"]\n  17 -> 35 [size =\"30881792\"]\n  17 -> 37 [size =\"30881792\"]\n  17 -> 40 [size =\"30881792\"]\n  18 [size=\"97699840\", alpha=\"0.02\", expect_size=\"48849920\"] \n  18 -> 25 [size =\"48849920\"]\n  18 -> 26 [size =\"48849920\"]\n  18 -> 28 [size =\"48849920\"]\n  18 -> 30 [size =\"48849920\"]\n  18 -> 30 [size =\"48849920\"]\n  18 -> 31 [size =\"48849920\"]\n  18 -> 37 [size =\"48849920\"]\n  19 [size=\"86231040\", alpha=\"0.03\", expect_size=\"43115520\"] \n  19 -> 22 [size =\"43115520\"]\n  19 -> 25 [size =\"43115520\"]\n  19 -> 26 [size =\"43115520\"]\n  19 -> 35 [size =\"43115520\"]\n  20 [size=\"69003264\", alpha=\"0.02\", expect_size=\"34501632\"] \n  20 -> 28 [size =\"34501632\"]\n  20 -> 30 [size =\"34501632\"]\n  20 -> 31 [size =\"34501632\"]\n  20 -> 34 [size =\"34501632\"]\n  20 -> 35 [size =\"34501632\"]\n  20 -> 40 [size =\"34501632\"]\n  21 [size=\"66476032\", alpha=\"0.20\", expect_size=\"33238016\"] \n  21 -> 23 [size =\"33238016\"]\n  21 -> 25 [size =\"33238016\"]\n  21 -> 27 [size =\"33238016\"]\n  21 -> 31 [size =\"33238016\"]\n  21 -> 32 [size =\"33238016\"]\n  21 -> 35 [size =\"33238016\"]\n  21 -> 40 [size =\"33238016\"]\n  22 [size=\"101146624\", alpha=\"0.12\", expect_size=\"50573312\"] \n  23 [size=\"23803904\", alpha=\"0.10\", expect_size=\"11901952\"] \n  24 [size=\"48474112\", alpha=\"0.14\", expect_size=\"24237056\"] \n  25 [size=\"77197312\", alpha=\"0.19\", expect_size=\"38598656\"] \n  26 [size=\"13907968\", alpha=\"0.12\", expect_size=\"6953984\"] \n  27 [size=\"97964032\", alpha=\"0.18\", expect_size=\"48982016\"] \n  28 [size=\"62134272\", alpha=\"0.11\", expect_size=\"31067136\"] \n  29 [size=\"69939200\", alpha=\"0.12\", expect_size=\"34969600\"] \n  30 [size=\"85424128\", alpha=\"0.00\", expect_size=\"42712064\"] \n  31 [size=\"93683712\", alpha=\"0.19\", expect_size=\"46841856\"] \n  32 [size=\"93622272\", alpha=\"0.01\", expect_size=\"46811136\"] \n  33 [size=\"57741312\", alpha=\"0.05\", expect_size=\"28870656\"] \n  34 [size=\"102641664\", alpha=\"0.10\", expect_size=\"51320832\"] \n  35 [size=\"75923456\", alpha=\"0.06\", expect_size=\"37961728\"] \n  36 [size=\"71266304\", alpha=\"0.06\", expect_size=\"35633152\"] \n  37 [size=\"34940928\", alpha=\"0.16\", expect_size=\"17470464\"] \n  38 [size=\"26562560\", alpha=\"0.05\", expect_size=\"13281280\"] \n  39 [size=\"77379584\", alpha=\"0.10\", expect_size=\"38689792\"] \n  40 [size=\"41422848\", alpha=\"0.07\", expect_size=\"20711424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173902507\", alpha=\"0.01\", expect_size=\"52170752\"] \n  1 -> 24 [size =\"52170752\"]\n  1 -> 25 [size =\"52170752\"]\n  1 -> 26 [size =\"52170752\"]\n  1 -> 29 [size =\"52170752\"]\n  2 [size=\"171345920\", alpha=\"0.15\", expect_size=\"51403776\"] \n  2 -> 18 [size =\"51403776\"]\n  2 -> 19 [size =\"51403776\"]\n  2 -> 26 [size =\"51403776\"]\n  2 -> 28 [size =\"51403776\"]\n  3 [size=\"97566720\", alpha=\"0.07\", expect_size=\"29270016\"] \n  3 -> 19 [size =\"29270016\"]\n  3 -> 23 [size =\"29270016\"]\n  3 -> 26 [size =\"29270016\"]\n  4 [size=\"33010347\", alpha=\"0.09\", expect_size=\"9903104\"] \n  4 -> 18 [size =\"9903104\"]\n  4 -> 23 [size =\"9903104\"]\n  4 -> 24 [size =\"9903104\"]\n  4 -> 29 [size =\"9903104\"]\n  5 [size=\"166324907\", alpha=\"0.09\", expect_size=\"49897472\"] \n  5 -> 18 [size =\"49897472\"]\n  5 -> 22 [size =\"49897472\"]\n  6 [size=\"125767680\", alpha=\"0.16\", expect_size=\"37730304\"] \n  6 -> 23 [size =\"37730304\"]\n  6 -> 27 [size =\"37730304\"]\n  6 -> 29 [size =\"37730304\"]\n  7 [size=\"60047360\", alpha=\"0.08\", expect_size=\"18014208\"] \n  7 -> 19 [size =\"18014208\"]\n  7 -> 24 [size =\"18014208\"]\n  7 -> 26 [size =\"18014208\"]\n  8 [size=\"146227200\", alpha=\"0.19\", expect_size=\"43868160\"] \n  8 -> 18 [size =\"43868160\"]\n  8 -> 24 [size =\"43868160\"]\n  9 [size=\"171731627\", alpha=\"0.03\", expect_size=\"51519488\"] \n  9 -> 29 [size =\"51519488\"]\n  9 -> 30 [size =\"51519488\"]\n  10 [size=\"151060480\", alpha=\"0.04\", expect_size=\"45318144\"] \n  10 -> 23 [size =\"45318144\"]\n  10 -> 24 [size =\"45318144\"]\n  10 -> 27 [size =\"45318144\"]\n  11 [size=\"155712853\", alpha=\"0.07\", expect_size=\"46713856\"] \n  11 -> 21 [size =\"46713856\"]\n  11 -> 27 [size =\"46713856\"]\n  11 -> 28 [size =\"46713856\"]\n  12 [size=\"160327680\", alpha=\"0.14\", expect_size=\"48098304\"] \n  12 -> 24 [size =\"48098304\"]\n  12 -> 27 [size =\"48098304\"]\n  13 [size=\"119958187\", alpha=\"0.08\", expect_size=\"35987456\"] \n  13 -> 23 [size =\"35987456\"]\n  13 -> 24 [size =\"35987456\"]\n  13 -> 28 [size =\"35987456\"]\n  13 -> 29 [size =\"35987456\"]\n  14 [size=\"172980907\", alpha=\"0.07\", expect_size=\"51894272\"] \n  14 -> 19 [size =\"51894272\"]\n  14 -> 20 [size =\"51894272\"]\n  14 -> 25 [size =\"51894272\"]\n  14 -> 27 [size =\"51894272\"]\n  14 -> 28 [size =\"51894272\"]\n  15 [size=\"83954347\", alpha=\"0.16\", expect_size=\"25186304\"] \n  15 -> 22 [size =\"25186304\"]\n  15 -> 28 [size =\"25186304\"]\n  16 [size=\"152432640\", alpha=\"0.11\", expect_size=\"45729792\"] \n  16 -> 24 [size =\"45729792\"]\n  16 -> 25 [size =\"45729792\"]\n  16 -> 28 [size =\"45729792\"]\n  17 [size=\"124603733\", alpha=\"0.12\", expect_size=\"37381120\"] \n  17 -> 18 [size =\"37381120\"]\n  17 -> 21 [size =\"37381120\"]\n  17 -> 25 [size =\"37381120\"]\n  17 -> 28 [size =\"37381120\"]\n  17 -> 29 [size =\"37381120\"]\n  18 [size=\"30750720\", alpha=\"0.19\", expect_size=\"9225216\"] \n  18 -> 36 [size =\"9225216\"]\n  19 [size=\"22906880\", alpha=\"0.08\", expect_size=\"6872064\"] \n  20 [size=\"43103573\", alpha=\"0.07\", expect_size=\"12931072\"] \n  20 -> 37 [size =\"12931072\"]\n  21 [size=\"77107200\", alpha=\"0.06\", expect_size=\"23132160\"] \n  21 -> 33 [size =\"23132160\"]\n  21 -> 35 [size =\"23132160\"]\n  21 -> 36 [size =\"23132160\"]\n  22 [size=\"133614933\", alpha=\"0.04\", expect_size=\"40084480\"] \n  22 -> 35 [size =\"40084480\"]\n  23 [size=\"85995520\", alpha=\"0.13\", expect_size=\"25798656\"] \n  23 -> 33 [size =\"25798656\"]\n  23 -> 35 [size =\"25798656\"]\n  23 -> 36 [size =\"25798656\"]\n  24 [size=\"148244480\", alpha=\"0.04\", expect_size=\"44473344\"] \n  24 -> 31 [size =\"44473344\"]\n  24 -> 32 [size =\"44473344\"]\n  24 -> 34 [size =\"44473344\"]\n  25 [size=\"47479467\", alpha=\"0.14\", expect_size=\"14243840\"] \n  25 -> 32 [size =\"14243840\"]\n  25 -> 37 [size =\"14243840\"]\n  26 [size=\"173905920\", alpha=\"0.17\", expect_size=\"52171776\"] \n  26 -> 35 [size =\"52171776\"]\n  26 -> 37 [size =\"52171776\"]\n  27 [size=\"105120427\", alpha=\"0.06\", expect_size=\"31536128\"] \n  27 -> 31 [size =\"31536128\"]\n  27 -> 34 [size =\"31536128\"]\n  27 -> 37 [size =\"31536128\"]\n  28 [size=\"44595200\", alpha=\"0.11\", expect_size=\"13378560\"] \n  28 -> 34 [size =\"13378560\"]\n  28 -> 34 [size =\"13378560\"]\n  28 -> 35 [size =\"13378560\"]\n  28 -> 37 [size =\"13378560\"]\n  29 [size=\"38809600\", alpha=\"0.16\", expect_size=\"11642880\"] \n  29 -> 37 [size =\"11642880\"]\n  30 [size=\"99054933\", alpha=\"0.18\", expect_size=\"29716480\"] \n  30 -> 31 [size =\"29716480\"]\n  30 -> 35 [size =\"29716480\"]\n  30 -> 37 [size =\"29716480\"]\n  31 [size=\"152613547\", alpha=\"0.17\", expect_size=\"45784064\"] \n  31 -> 38 [size =\"45784064\"]\n  31 -> 39 [size =\"45784064\"]\n  32 [size=\"41335467\", alpha=\"0.15\", expect_size=\"12400640\"] \n  32 -> 40 [size =\"12400640\"]\n  33 [size=\"76380160\", alpha=\"0.06\", expect_size=\"22914048\"] \n  34 [size=\"23261867\", alpha=\"0.16\", expect_size=\"6978560\"] \n  35 [size=\"54807893\", alpha=\"0.15\", expect_size=\"16442368\"] \n  35 -> 40 [size =\"16442368\"]\n  36 [size=\"162580480\", alpha=\"0.11\", expect_size=\"48774144\"] \n  36 -> 38 [size =\"48774144\"]\n  37 [size=\"140294827\", alpha=\"0.01\", expect_size=\"42088448\"] \n  37 -> 38 [size =\"42088448\"]\n  38 [size=\"30528853\", alpha=\"0.12\", expect_size=\"9158656\"] \n  39 [size=\"119316480\", alpha=\"0.04\", expect_size=\"35794944\"] \n  40 [size=\"89064107\", alpha=\"0.19\", expect_size=\"26719232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72021333\", alpha=\"0.09\", expect_size=\"21606400\"] \n  2 [size=\"66932053\", alpha=\"0.18\", expect_size=\"20079616\"] \n  3 [size=\"84026027\", alpha=\"0.06\", expect_size=\"25207808\"] \n  3 -> 4 [size =\"25207808\"]\n  3 -> 5 [size =\"25207808\"]\n  3 -> 6 [size =\"25207808\"]\n  4 [size=\"151620267\", alpha=\"0.05\", expect_size=\"45486080\"] \n  4 -> 7 [size =\"45486080\"]\n  4 -> 8 [size =\"45486080\"]\n  4 -> 9 [size =\"45486080\"]\n  5 [size=\"69399893\", alpha=\"0.11\", expect_size=\"20819968\"] \n  5 -> 9 [size =\"20819968\"]\n  6 [size=\"72178347\", alpha=\"0.08\", expect_size=\"21653504\"] \n  7 [size=\"23599787\", alpha=\"0.15\", expect_size=\"7079936\"] \n  7 -> 10 [size =\"7079936\"]\n  7 -> 11 [size =\"7079936\"]\n  7 -> 12 [size =\"7079936\"]\n  8 [size=\"36570453\", alpha=\"0.06\", expect_size=\"10971136\"] \n  8 -> 10 [size =\"10971136\"]\n  9 [size=\"28125867\", alpha=\"0.17\", expect_size=\"8437760\"] \n  10 [size=\"31150080\", alpha=\"0.01\", expect_size=\"9345024\"] \n  10 -> 14 [size =\"9345024\"]\n  11 [size=\"22196907\", alpha=\"0.17\", expect_size=\"6659072\"] \n  12 [size=\"95901013\", alpha=\"0.17\", expect_size=\"28770304\"] \n  12 -> 13 [size =\"28770304\"]\n  12 -> 14 [size =\"28770304\"]\n  13 [size=\"79902720\", alpha=\"0.10\", expect_size=\"23970816\"] \n  13 -> 16 [size =\"23970816\"]\n  14 [size=\"125252267\", alpha=\"0.16\", expect_size=\"37575680\"] \n  14 -> 15 [size =\"37575680\"]\n  15 [size=\"166092800\", alpha=\"0.09\", expect_size=\"49827840\"] \n  15 -> 17 [size =\"49827840\"]\n  15 -> 18 [size =\"49827840\"]\n  15 -> 19 [size =\"49827840\"]\n  16 [size=\"93395627\", alpha=\"0.13\", expect_size=\"28018688\"] \n  16 -> 17 [size =\"28018688\"]\n  16 -> 19 [size =\"28018688\"]\n  17 [size=\"156204373\", alpha=\"0.11\", expect_size=\"46861312\"] \n  17 -> 21 [size =\"46861312\"]\n  18 [size=\"118312960\", alpha=\"0.04\", expect_size=\"35493888\"] \n  18 -> 20 [size =\"35493888\"]\n  18 -> 22 [size =\"35493888\"]\n  19 [size=\"169256960\", alpha=\"0.05\", expect_size=\"50777088\"] \n  19 -> 21 [size =\"50777088\"]\n  20 [size=\"145302187\", alpha=\"0.19\", expect_size=\"43590656\"] \n  20 -> 23 [size =\"43590656\"]\n  21 [size=\"152320000\", alpha=\"0.20\", expect_size=\"45696000\"] \n  21 -> 24 [size =\"45696000\"]\n  21 -> 25 [size =\"45696000\"]\n  22 [size=\"128344747\", alpha=\"0.07\", expect_size=\"38503424\"] \n  22 -> 24 [size =\"38503424\"]\n  23 [size=\"105021440\", alpha=\"0.02\", expect_size=\"31506432\"] \n  23 -> 27 [size =\"31506432\"]\n  24 [size=\"29242027\", alpha=\"0.15\", expect_size=\"8772608\"] \n  25 [size=\"152470187\", alpha=\"0.14\", expect_size=\"45741056\"] \n  25 -> 26 [size =\"45741056\"]\n  25 -> 27 [size =\"45741056\"]\n  26 [size=\"63583573\", alpha=\"0.00\", expect_size=\"19075072\"] \n  26 -> 28 [size =\"19075072\"]\n  26 -> 30 [size =\"19075072\"]\n  27 [size=\"168741547\", alpha=\"0.07\", expect_size=\"50622464\"] \n  27 -> 28 [size =\"50622464\"]\n  27 -> 29 [size =\"50622464\"]\n  28 [size=\"100877653\", alpha=\"0.16\", expect_size=\"30263296\"] \n  28 -> 31 [size =\"30263296\"]\n  28 -> 32 [size =\"30263296\"]\n  29 [size=\"134806187\", alpha=\"0.07\", expect_size=\"40441856\"] \n  29 -> 32 [size =\"40441856\"]\n  30 [size=\"20104533\", alpha=\"0.19\", expect_size=\"6031360\"] \n  31 [size=\"171089920\", alpha=\"0.12\", expect_size=\"51326976\"] \n  31 -> 34 [size =\"51326976\"]\n  31 -> 35 [size =\"51326976\"]\n  32 [size=\"170444800\", alpha=\"0.15\", expect_size=\"51133440\"] \n  32 -> 33 [size =\"51133440\"]\n  32 -> 34 [size =\"51133440\"]\n  32 -> 35 [size =\"51133440\"]\n  33 [size=\"67631787\", alpha=\"0.06\", expect_size=\"20289536\"] \n  34 [size=\"86480213\", alpha=\"0.11\", expect_size=\"25944064\"] \n  34 -> 36 [size =\"25944064\"]\n  34 -> 37 [size =\"25944064\"]\n  35 [size=\"46571520\", alpha=\"0.14\", expect_size=\"13971456\"] \n  35 -> 36 [size =\"13971456\"]\n  35 -> 37 [size =\"13971456\"]\n  36 [size=\"157112320\", alpha=\"0.07\", expect_size=\"47133696\"] \n  36 -> 38 [size =\"47133696\"]\n  36 -> 39 [size =\"47133696\"]\n  36 -> 40 [size =\"47133696\"]\n  37 [size=\"158235307\", alpha=\"0.18\", expect_size=\"47470592\"] \n  37 -> 38 [size =\"47470592\"]\n  37 -> 39 [size =\"47470592\"]\n  38 [size=\"56067413\", alpha=\"0.02\", expect_size=\"16820224\"] \n  39 [size=\"26989227\", alpha=\"0.05\", expect_size=\"8096768\"] \n  40 [size=\"81643520\", alpha=\"0.04\", expect_size=\"24493056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54408533\", alpha=\"0.20\", expect_size=\"16322560\"] \n  1 -> 15 [size =\"16322560\"]\n  1 -> 17 [size =\"16322560\"]\n  1 -> 18 [size =\"16322560\"]\n  1 -> 20 [size =\"16322560\"]\n  1 -> 22 [size =\"16322560\"]\n  1 -> 23 [size =\"16322560\"]\n  2 [size=\"121750187\", alpha=\"0.12\", expect_size=\"36525056\"] \n  2 -> 16 [size =\"36525056\"]\n  2 -> 18 [size =\"36525056\"]\n  2 -> 18 [size =\"36525056\"]\n  2 -> 21 [size =\"36525056\"]\n  2 -> 24 [size =\"36525056\"]\n  2 -> 25 [size =\"36525056\"]\n  3 [size=\"104318293\", alpha=\"0.09\", expect_size=\"31295488\"] \n  3 -> 14 [size =\"31295488\"]\n  3 -> 16 [size =\"31295488\"]\n  3 -> 17 [size =\"31295488\"]\n  3 -> 18 [size =\"31295488\"]\n  3 -> 19 [size =\"31295488\"]\n  3 -> 20 [size =\"31295488\"]\n  3 -> 23 [size =\"31295488\"]\n  3 -> 24 [size =\"31295488\"]\n  3 -> 25 [size =\"31295488\"]\n  4 [size=\"145111040\", alpha=\"0.06\", expect_size=\"43533312\"] \n  4 -> 14 [size =\"43533312\"]\n  4 -> 17 [size =\"43533312\"]\n  4 -> 21 [size =\"43533312\"]\n  4 -> 22 [size =\"43533312\"]\n  4 -> 25 [size =\"43533312\"]\n  5 [size=\"45646507\", alpha=\"0.04\", expect_size=\"13693952\"] \n  5 -> 17 [size =\"13693952\"]\n  5 -> 21 [size =\"13693952\"]\n  5 -> 24 [size =\"13693952\"]\n  5 -> 25 [size =\"13693952\"]\n  6 [size=\"71430827\", alpha=\"0.11\", expect_size=\"21429248\"] \n  6 -> 15 [size =\"21429248\"]\n  6 -> 16 [size =\"21429248\"]\n  6 -> 25 [size =\"21429248\"]\n  7 [size=\"110301867\", alpha=\"0.17\", expect_size=\"33090560\"] \n  7 -> 14 [size =\"33090560\"]\n  7 -> 15 [size =\"33090560\"]\n  7 -> 16 [size =\"33090560\"]\n  7 -> 22 [size =\"33090560\"]\n  7 -> 25 [size =\"33090560\"]\n  8 [size=\"134717440\", alpha=\"0.05\", expect_size=\"40415232\"] \n  8 -> 17 [size =\"40415232\"]\n  8 -> 18 [size =\"40415232\"]\n  8 -> 22 [size =\"40415232\"]\n  8 -> 23 [size =\"40415232\"]\n  9 [size=\"153077760\", alpha=\"0.12\", expect_size=\"45923328\"] \n  9 -> 16 [size =\"45923328\"]\n  9 -> 18 [size =\"45923328\"]\n  9 -> 22 [size =\"45923328\"]\n  9 -> 23 [size =\"45923328\"]\n  9 -> 24 [size =\"45923328\"]\n  10 [size=\"122275840\", alpha=\"0.19\", expect_size=\"36682752\"] \n  10 -> 16 [size =\"36682752\"]\n  10 -> 17 [size =\"36682752\"]\n  11 [size=\"92825600\", alpha=\"0.19\", expect_size=\"27847680\"] \n  11 -> 15 [size =\"27847680\"]\n  11 -> 18 [size =\"27847680\"]\n  11 -> 19 [size =\"27847680\"]\n  12 [size=\"89210880\", alpha=\"0.11\", expect_size=\"26763264\"] \n  12 -> 14 [size =\"26763264\"]\n  12 -> 16 [size =\"26763264\"]\n  12 -> 18 [size =\"26763264\"]\n  12 -> 19 [size =\"26763264\"]\n  12 -> 20 [size =\"26763264\"]\n  12 -> 24 [size =\"26763264\"]\n  13 [size=\"24214187\", alpha=\"0.08\", expect_size=\"7264256\"] \n  13 -> 14 [size =\"7264256\"]\n  13 -> 17 [size =\"7264256\"]\n  13 -> 18 [size =\"7264256\"]\n  13 -> 20 [size =\"7264256\"]\n  13 -> 24 [size =\"7264256\"]\n  13 -> 25 [size =\"7264256\"]\n  14 [size=\"94767787\", alpha=\"0.07\", expect_size=\"28430336\"] \n  14 -> 29 [size =\"28430336\"]\n  14 -> 30 [size =\"28430336\"]\n  14 -> 31 [size =\"28430336\"]\n  14 -> 32 [size =\"28430336\"]\n  14 -> 35 [size =\"28430336\"]\n  14 -> 36 [size =\"28430336\"]\n  14 -> 37 [size =\"28430336\"]\n  15 [size=\"138905600\", alpha=\"0.17\", expect_size=\"41671680\"] \n  15 -> 27 [size =\"41671680\"]\n  15 -> 31 [size =\"41671680\"]\n  15 -> 32 [size =\"41671680\"]\n  15 -> 35 [size =\"41671680\"]\n  15 -> 36 [size =\"41671680\"]\n  16 [size=\"173329067\", alpha=\"0.08\", expect_size=\"51998720\"] \n  16 -> 28 [size =\"51998720\"]\n  16 -> 31 [size =\"51998720\"]\n  16 -> 32 [size =\"51998720\"]\n  16 -> 33 [size =\"51998720\"]\n  16 -> 35 [size =\"51998720\"]\n  17 [size=\"103137280\", alpha=\"0.09\", expect_size=\"30941184\"] \n  17 -> 29 [size =\"30941184\"]\n  17 -> 32 [size =\"30941184\"]\n  17 -> 35 [size =\"30941184\"]\n  17 -> 37 [size =\"30941184\"]\n  18 [size=\"77851307\", alpha=\"0.04\", expect_size=\"23355392\"] \n  18 -> 27 [size =\"23355392\"]\n  18 -> 31 [size =\"23355392\"]\n  18 -> 35 [size =\"23355392\"]\n  18 -> 36 [size =\"23355392\"]\n  18 -> 37 [size =\"23355392\"]\n  19 [size=\"117848747\", alpha=\"0.18\", expect_size=\"35354624\"] \n  19 -> 29 [size =\"35354624\"]\n  19 -> 31 [size =\"35354624\"]\n  19 -> 35 [size =\"35354624\"]\n  19 -> 37 [size =\"35354624\"]\n  20 [size=\"58112000\", alpha=\"0.16\", expect_size=\"17433600\"] \n  20 -> 28 [size =\"17433600\"]\n  20 -> 29 [size =\"17433600\"]\n  20 -> 31 [size =\"17433600\"]\n  20 -> 32 [size =\"17433600\"]\n  20 -> 35 [size =\"17433600\"]\n  21 [size=\"46342827\", alpha=\"0.18\", expect_size=\"13902848\"] \n  21 -> 26 [size =\"13902848\"]\n  21 -> 28 [size =\"13902848\"]\n  21 -> 29 [size =\"13902848\"]\n  21 -> 31 [size =\"13902848\"]\n  21 -> 32 [size =\"13902848\"]\n  21 -> 33 [size =\"13902848\"]\n  21 -> 37 [size =\"13902848\"]\n  22 [size=\"39970133\", alpha=\"0.14\", expect_size=\"11991040\"] \n  22 -> 26 [size =\"11991040\"]\n  22 -> 27 [size =\"11991040\"]\n  22 -> 29 [size =\"11991040\"]\n  22 -> 30 [size =\"11991040\"]\n  22 -> 32 [size =\"11991040\"]\n  22 -> 36 [size =\"11991040\"]\n  22 -> 37 [size =\"11991040\"]\n  23 [size=\"123153067\", alpha=\"0.01\", expect_size=\"36945920\"] \n  23 -> 26 [size =\"36945920\"]\n  23 -> 28 [size =\"36945920\"]\n  23 -> 29 [size =\"36945920\"]\n  23 -> 30 [size =\"36945920\"]\n  23 -> 32 [size =\"36945920\"]\n  23 -> 35 [size =\"36945920\"]\n  23 -> 36 [size =\"36945920\"]\n  23 -> 37 [size =\"36945920\"]\n  24 [size=\"26613760\", alpha=\"0.04\", expect_size=\"7984128\"] \n  24 -> 26 [size =\"7984128\"]\n  24 -> 28 [size =\"7984128\"]\n  24 -> 33 [size =\"7984128\"]\n  24 -> 36 [size =\"7984128\"]\n  24 -> 37 [size =\"7984128\"]\n  25 [size=\"78428160\", alpha=\"0.11\", expect_size=\"23528448\"] \n  25 -> 28 [size =\"23528448\"]\n  25 -> 28 [size =\"23528448\"]\n  25 -> 31 [size =\"23528448\"]\n  25 -> 34 [size =\"23528448\"]\n  26 [size=\"54278827\", alpha=\"0.05\", expect_size=\"16283648\"] \n  26 -> 39 [size =\"16283648\"]\n  27 [size=\"119203840\", alpha=\"0.10\", expect_size=\"35761152\"] \n  27 -> 38 [size =\"35761152\"]\n  28 [size=\"35942400\", alpha=\"0.10\", expect_size=\"10782720\"] \n  28 -> 38 [size =\"10782720\"]\n  28 -> 40 [size =\"10782720\"]\n  29 [size=\"64522240\", alpha=\"0.08\", expect_size=\"19356672\"] \n  29 -> 38 [size =\"19356672\"]\n  29 -> 39 [size =\"19356672\"]\n  29 -> 40 [size =\"19356672\"]\n  30 [size=\"46325760\", alpha=\"0.19\", expect_size=\"13897728\"] \n  30 -> 38 [size =\"13897728\"]\n  30 -> 39 [size =\"13897728\"]\n  30 -> 40 [size =\"13897728\"]\n  31 [size=\"169106773\", alpha=\"0.19\", expect_size=\"50732032\"] \n  31 -> 38 [size =\"50732032\"]\n  31 -> 39 [size =\"50732032\"]\n  32 [size=\"155231573\", alpha=\"0.09\", expect_size=\"46569472\"] \n  32 -> 40 [size =\"46569472\"]\n  33 [size=\"108977493\", alpha=\"0.19\", expect_size=\"32693248\"] \n  33 -> 40 [size =\"32693248\"]\n  34 [size=\"117183147\", alpha=\"0.19\", expect_size=\"35154944\"] \n  34 -> 40 [size =\"35154944\"]\n  35 [size=\"150203733\", alpha=\"0.15\", expect_size=\"45061120\"] \n  35 -> 40 [size =\"45061120\"]\n  36 [size=\"78923093\", alpha=\"0.11\", expect_size=\"23676928\"] \n  37 [size=\"114585600\", alpha=\"0.17\", expect_size=\"34375680\"] \n  37 -> 38 [size =\"34375680\"]\n  37 -> 39 [size =\"34375680\"]\n  38 [size=\"35447467\", alpha=\"0.11\", expect_size=\"10634240\"] \n  39 [size=\"116029440\", alpha=\"0.18\", expect_size=\"34808832\"] \n  40 [size=\"20084053\", alpha=\"0.10\", expect_size=\"6025216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119964160\", alpha=\"0.12\", expect_size=\"47985664\"] \n  1 -> 29 [size =\"47985664\"]\n  1 -> 39 [size =\"47985664\"]\n  2 [size=\"68646400\", alpha=\"0.05\", expect_size=\"27458560\"] \n  2 -> 33 [size =\"27458560\"]\n  2 -> 35 [size =\"27458560\"]\n  3 [size=\"92666880\", alpha=\"0.11\", expect_size=\"37066752\"] \n  3 -> 28 [size =\"37066752\"]\n  3 -> 30 [size =\"37066752\"]\n  3 -> 32 [size =\"37066752\"]\n  3 -> 38 [size =\"37066752\"]\n  3 -> 40 [size =\"37066752\"]\n  4 [size=\"33664000\", alpha=\"0.08\", expect_size=\"13465600\"] \n  4 -> 30 [size =\"13465600\"]\n  4 -> 32 [size =\"13465600\"]\n  4 -> 33 [size =\"13465600\"]\n  4 -> 35 [size =\"13465600\"]\n  4 -> 37 [size =\"13465600\"]\n  4 -> 39 [size =\"13465600\"]\n  4 -> 40 [size =\"13465600\"]\n  5 [size=\"62464000\", alpha=\"0.01\", expect_size=\"24985600\"] \n  5 -> 30 [size =\"24985600\"]\n  5 -> 32 [size =\"24985600\"]\n  5 -> 33 [size =\"24985600\"]\n  5 -> 38 [size =\"24985600\"]\n  6 [size=\"76362240\", alpha=\"0.13\", expect_size=\"30544896\"] \n  6 -> 28 [size =\"30544896\"]\n  6 -> 29 [size =\"30544896\"]\n  6 -> 31 [size =\"30544896\"]\n  6 -> 34 [size =\"30544896\"]\n  6 -> 36 [size =\"30544896\"]\n  6 -> 37 [size =\"30544896\"]\n  6 -> 38 [size =\"30544896\"]\n  6 -> 40 [size =\"30544896\"]\n  7 [size=\"95695360\", alpha=\"0.20\", expect_size=\"38278144\"] \n  7 -> 28 [size =\"38278144\"]\n  7 -> 32 [size =\"38278144\"]\n  7 -> 34 [size =\"38278144\"]\n  7 -> 37 [size =\"38278144\"]\n  7 -> 40 [size =\"38278144\"]\n  8 [size=\"46991360\", alpha=\"0.14\", expect_size=\"18796544\"] \n  8 -> 28 [size =\"18796544\"]\n  8 -> 30 [size =\"18796544\"]\n  8 -> 32 [size =\"18796544\"]\n  8 -> 33 [size =\"18796544\"]\n  8 -> 34 [size =\"18796544\"]\n  8 -> 37 [size =\"18796544\"]\n  8 -> 40 [size =\"18796544\"]\n  9 [size=\"26723840\", alpha=\"0.01\", expect_size=\"10689536\"] \n  9 -> 28 [size =\"10689536\"]\n  9 -> 29 [size =\"10689536\"]\n  9 -> 30 [size =\"10689536\"]\n  9 -> 37 [size =\"10689536\"]\n  9 -> 40 [size =\"10689536\"]\n  10 [size=\"108930560\", alpha=\"0.11\", expect_size=\"43572224\"] \n  10 -> 28 [size =\"43572224\"]\n  10 -> 35 [size =\"43572224\"]\n  10 -> 39 [size =\"43572224\"]\n  11 [size=\"51888640\", alpha=\"0.10\", expect_size=\"20755456\"] \n  11 -> 28 [size =\"20755456\"]\n  11 -> 32 [size =\"20755456\"]\n  11 -> 34 [size =\"20755456\"]\n  11 -> 35 [size =\"20755456\"]\n  11 -> 36 [size =\"20755456\"]\n  11 -> 37 [size =\"20755456\"]\n  11 -> 38 [size =\"20755456\"]\n  11 -> 40 [size =\"20755456\"]\n  12 [size=\"122511360\", alpha=\"0.04\", expect_size=\"49004544\"] \n  12 -> 28 [size =\"49004544\"]\n  12 -> 32 [size =\"49004544\"]\n  12 -> 35 [size =\"49004544\"]\n  12 -> 35 [size =\"49004544\"]\n  12 -> 36 [size =\"49004544\"]\n  12 -> 37 [size =\"49004544\"]\n  12 -> 39 [size =\"49004544\"]\n  13 [size=\"33786880\", alpha=\"0.19\", expect_size=\"13514752\"] \n  13 -> 28 [size =\"13514752\"]\n  13 -> 30 [size =\"13514752\"]\n  13 -> 33 [size =\"13514752\"]\n  13 -> 35 [size =\"13514752\"]\n  13 -> 37 [size =\"13514752\"]\n  14 [size=\"100410880\", alpha=\"0.13\", expect_size=\"40164352\"] \n  14 -> 28 [size =\"40164352\"]\n  14 -> 33 [size =\"40164352\"]\n  14 -> 39 [size =\"40164352\"]\n  15 [size=\"30497280\", alpha=\"0.07\", expect_size=\"12198912\"] \n  15 -> 28 [size =\"12198912\"]\n  15 -> 32 [size =\"12198912\"]\n  15 -> 33 [size =\"12198912\"]\n  15 -> 35 [size =\"12198912\"]\n  15 -> 39 [size =\"12198912\"]\n  16 [size=\"34375680\", alpha=\"0.19\", expect_size=\"13750272\"] \n  16 -> 28 [size =\"13750272\"]\n  16 -> 30 [size =\"13750272\"]\n  16 -> 35 [size =\"13750272\"]\n  16 -> 36 [size =\"13750272\"]\n  16 -> 39 [size =\"13750272\"]\n  17 [size=\"111664640\", alpha=\"0.12\", expect_size=\"44665856\"] \n  17 -> 28 [size =\"44665856\"]\n  17 -> 32 [size =\"44665856\"]\n  17 -> 33 [size =\"44665856\"]\n  17 -> 36 [size =\"44665856\"]\n  17 -> 37 [size =\"44665856\"]\n  17 -> 39 [size =\"44665856\"]\n  17 -> 40 [size =\"44665856\"]\n  18 [size=\"109504000\", alpha=\"0.18\", expect_size=\"43801600\"] \n  18 -> 28 [size =\"43801600\"]\n  18 -> 32 [size =\"43801600\"]\n  18 -> 36 [size =\"43801600\"]\n  18 -> 37 [size =\"43801600\"]\n  18 -> 39 [size =\"43801600\"]\n  18 -> 39 [size =\"43801600\"]\n  18 -> 40 [size =\"43801600\"]\n  19 [size=\"72550400\", alpha=\"0.10\", expect_size=\"29020160\"] \n  19 -> 29 [size =\"29020160\"]\n  19 -> 30 [size =\"29020160\"]\n  19 -> 32 [size =\"29020160\"]\n  19 -> 33 [size =\"29020160\"]\n  19 -> 37 [size =\"29020160\"]\n  20 [size=\"75632640\", alpha=\"0.07\", expect_size=\"30253056\"] \n  20 -> 29 [size =\"30253056\"]\n  20 -> 32 [size =\"30253056\"]\n  20 -> 34 [size =\"30253056\"]\n  20 -> 37 [size =\"30253056\"]\n  20 -> 37 [size =\"30253056\"]\n  20 -> 38 [size =\"30253056\"]\n  21 [size=\"21652480\", alpha=\"0.01\", expect_size=\"8660992\"] \n  21 -> 30 [size =\"8660992\"]\n  21 -> 39 [size =\"8660992\"]\n  22 [size=\"79424000\", alpha=\"0.05\", expect_size=\"31769600\"] \n  22 -> 29 [size =\"31769600\"]\n  22 -> 30 [size =\"31769600\"]\n  22 -> 37 [size =\"31769600\"]\n  22 -> 39 [size =\"31769600\"]\n  23 [size=\"100899840\", alpha=\"0.03\", expect_size=\"40359936\"] \n  23 -> 29 [size =\"40359936\"]\n  23 -> 30 [size =\"40359936\"]\n  23 -> 32 [size =\"40359936\"]\n  23 -> 35 [size =\"40359936\"]\n  23 -> 39 [size =\"40359936\"]\n  24 [size=\"92656640\", alpha=\"0.04\", expect_size=\"37062656\"] \n  24 -> 28 [size =\"37062656\"]\n  24 -> 29 [size =\"37062656\"]\n  24 -> 32 [size =\"37062656\"]\n  24 -> 35 [size =\"37062656\"]\n  24 -> 39 [size =\"37062656\"]\n  25 [size=\"53934080\", alpha=\"0.13\", expect_size=\"21573632\"] \n  25 -> 32 [size =\"21573632\"]\n  25 -> 39 [size =\"21573632\"]\n  25 -> 40 [size =\"21573632\"]\n  26 [size=\"96430080\", alpha=\"0.13\", expect_size=\"38572032\"] \n  26 -> 32 [size =\"38572032\"]\n  26 -> 33 [size =\"38572032\"]\n  26 -> 34 [size =\"38572032\"]\n  26 -> 35 [size =\"38572032\"]\n  26 -> 36 [size =\"38572032\"]\n  26 -> 37 [size =\"38572032\"]\n  26 -> 38 [size =\"38572032\"]\n  26 -> 40 [size =\"38572032\"]\n  27 [size=\"90792960\", alpha=\"0.08\", expect_size=\"36317184\"] \n  27 -> 33 [size =\"36317184\"]\n  27 -> 35 [size =\"36317184\"]\n  27 -> 39 [size =\"36317184\"]\n  27 -> 40 [size =\"36317184\"]\n  28 [size=\"43450880\", alpha=\"0.07\", expect_size=\"17380352\"] \n  29 [size=\"29132800\", alpha=\"0.10\", expect_size=\"11653120\"] \n  30 [size=\"88381440\", alpha=\"0.08\", expect_size=\"35352576\"] \n  31 [size=\"127203840\", alpha=\"0.13\", expect_size=\"50881536\"] \n  32 [size=\"16522240\", alpha=\"0.17\", expect_size=\"6608896\"] \n  33 [size=\"47813120\", alpha=\"0.04\", expect_size=\"19125248\"] \n  34 [size=\"64701440\", alpha=\"0.06\", expect_size=\"25880576\"] \n  35 [size=\"87751680\", alpha=\"0.10\", expect_size=\"35100672\"] \n  36 [size=\"48350720\", alpha=\"0.19\", expect_size=\"19340288\"] \n  37 [size=\"127720960\", alpha=\"0.04\", expect_size=\"51088384\"] \n  38 [size=\"54561280\", alpha=\"0.05\", expect_size=\"21824512\"] \n  39 [size=\"98682880\", alpha=\"0.17\", expect_size=\"39473152\"] \n  40 [size=\"37777920\", alpha=\"0.19\", expect_size=\"15111168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53655040\", alpha=\"0.19\", expect_size=\"21462016\"] \n  1 -> 10 [size =\"21462016\"]\n  1 -> 14 [size =\"21462016\"]\n  1 -> 15 [size =\"21462016\"]\n  2 [size=\"82808320\", alpha=\"0.01\", expect_size=\"33123328\"] \n  2 -> 10 [size =\"33123328\"]\n  2 -> 11 [size =\"33123328\"]\n  2 -> 13 [size =\"33123328\"]\n  2 -> 14 [size =\"33123328\"]\n  3 [size=\"15431680\", alpha=\"0.12\", expect_size=\"6172672\"] \n  3 -> 8 [size =\"6172672\"]\n  3 -> 9 [size =\"6172672\"]\n  3 -> 10 [size =\"6172672\"]\n  3 -> 12 [size =\"6172672\"]\n  3 -> 15 [size =\"6172672\"]\n  4 [size=\"61120000\", alpha=\"0.10\", expect_size=\"24448000\"] \n  4 -> 9 [size =\"24448000\"]\n  4 -> 11 [size =\"24448000\"]\n  4 -> 12 [size =\"24448000\"]\n  5 [size=\"71185920\", alpha=\"0.15\", expect_size=\"28474368\"] \n  5 -> 11 [size =\"28474368\"]\n  5 -> 15 [size =\"28474368\"]\n  6 [size=\"60756480\", alpha=\"0.15\", expect_size=\"24302592\"] \n  6 -> 9 [size =\"24302592\"]\n  6 -> 11 [size =\"24302592\"]\n  6 -> 13 [size =\"24302592\"]\n  6 -> 15 [size =\"24302592\"]\n  7 [size=\"91648000\", alpha=\"0.11\", expect_size=\"36659200\"] \n  7 -> 9 [size =\"36659200\"]\n  7 -> 14 [size =\"36659200\"]\n  8 [size=\"99952640\", alpha=\"0.12\", expect_size=\"39981056\"] \n  8 -> 18 [size =\"39981056\"]\n  8 -> 20 [size =\"39981056\"]\n  9 [size=\"69104640\", alpha=\"0.02\", expect_size=\"27641856\"] \n  9 -> 18 [size =\"27641856\"]\n  9 -> 19 [size =\"27641856\"]\n  10 [size=\"21230080\", alpha=\"0.10\", expect_size=\"8492032\"] \n  10 -> 21 [size =\"8492032\"]\n  11 [size=\"130024960\", alpha=\"0.06\", expect_size=\"52009984\"] \n  11 -> 20 [size =\"52009984\"]\n  11 -> 21 [size =\"52009984\"]\n  12 [size=\"121390080\", alpha=\"0.16\", expect_size=\"48556032\"] \n  12 -> 17 [size =\"48556032\"]\n  12 -> 18 [size =\"48556032\"]\n  12 -> 19 [size =\"48556032\"]\n  12 -> 20 [size =\"48556032\"]\n  13 [size=\"127928320\", alpha=\"0.15\", expect_size=\"51171328\"] \n  13 -> 16 [size =\"51171328\"]\n  13 -> 17 [size =\"51171328\"]\n  13 -> 18 [size =\"51171328\"]\n  13 -> 19 [size =\"51171328\"]\n  14 [size=\"83228160\", alpha=\"0.06\", expect_size=\"33291264\"] \n  14 -> 17 [size =\"33291264\"]\n  14 -> 17 [size =\"33291264\"]\n  14 -> 18 [size =\"33291264\"]\n  14 -> 19 [size =\"33291264\"]\n  14 -> 20 [size =\"33291264\"]\n  15 [size=\"23554560\", alpha=\"0.03\", expect_size=\"9421824\"] \n  15 -> 19 [size =\"9421824\"]\n  15 -> 20 [size =\"9421824\"]\n  16 [size=\"114805760\", alpha=\"0.14\", expect_size=\"45922304\"] \n  16 -> 23 [size =\"45922304\"]\n  16 -> 24 [size =\"45922304\"]\n  16 -> 25 [size =\"45922304\"]\n  16 -> 26 [size =\"45922304\"]\n  16 -> 27 [size =\"45922304\"]\n  17 [size=\"86617600\", alpha=\"0.15\", expect_size=\"34647040\"] \n  17 -> 23 [size =\"34647040\"]\n  17 -> 24 [size =\"34647040\"]\n  17 -> 25 [size =\"34647040\"]\n  18 [size=\"32389120\", alpha=\"0.04\", expect_size=\"12955648\"] \n  19 [size=\"101852160\", alpha=\"0.11\", expect_size=\"40740864\"] \n  19 -> 22 [size =\"40740864\"]\n  19 -> 24 [size =\"40740864\"]\n  19 -> 26 [size =\"40740864\"]\n  20 [size=\"114227200\", alpha=\"0.06\", expect_size=\"45690880\"] \n  20 -> 24 [size =\"45690880\"]\n  21 [size=\"57960960\", alpha=\"0.08\", expect_size=\"23184384\"] \n  21 -> 25 [size =\"23184384\"]\n  22 [size=\"95121920\", alpha=\"0.03\", expect_size=\"38048768\"] \n  22 -> 29 [size =\"38048768\"]\n  22 -> 32 [size =\"38048768\"]\n  23 [size=\"73973760\", alpha=\"0.17\", expect_size=\"29589504\"] \n  23 -> 29 [size =\"29589504\"]\n  23 -> 30 [size =\"29589504\"]\n  23 -> 32 [size =\"29589504\"]\n  24 [size=\"42263040\", alpha=\"0.00\", expect_size=\"16905216\"] \n  24 -> 31 [size =\"16905216\"]\n  24 -> 32 [size =\"16905216\"]\n  25 [size=\"78394880\", alpha=\"0.13\", expect_size=\"31357952\"] \n  25 -> 28 [size =\"31357952\"]\n  26 [size=\"97651200\", alpha=\"0.14\", expect_size=\"39060480\"] \n  26 -> 29 [size =\"39060480\"]\n  26 -> 30 [size =\"39060480\"]\n  26 -> 32 [size =\"39060480\"]\n  27 [size=\"63086080\", alpha=\"0.08\", expect_size=\"25234432\"] \n  28 [size=\"34629120\", alpha=\"0.16\", expect_size=\"13851648\"] \n  28 -> 34 [size =\"13851648\"]\n  28 -> 37 [size =\"13851648\"]\n  28 -> 37 [size =\"13851648\"]\n  29 [size=\"60428800\", alpha=\"0.15\", expect_size=\"24171520\"] \n  29 -> 33 [size =\"24171520\"]\n  29 -> 35 [size =\"24171520\"]\n  29 -> 36 [size =\"24171520\"]\n  30 [size=\"122370560\", alpha=\"0.14\", expect_size=\"48948224\"] \n  30 -> 35 [size =\"48948224\"]\n  30 -> 36 [size =\"48948224\"]\n  31 [size=\"40140800\", alpha=\"0.14\", expect_size=\"16056320\"] \n  32 [size=\"90219520\", alpha=\"0.11\", expect_size=\"36087808\"] \n  32 -> 33 [size =\"36087808\"]\n  32 -> 35 [size =\"36087808\"]\n  32 -> 37 [size =\"36087808\"]\n  33 [size=\"106375680\", alpha=\"0.09\", expect_size=\"42550272\"] \n  34 [size=\"90941440\", alpha=\"0.18\", expect_size=\"36376576\"] \n  34 -> 39 [size =\"36376576\"]\n  35 [size=\"91927040\", alpha=\"0.09\", expect_size=\"36770816\"] \n  35 -> 38 [size =\"36770816\"]\n  35 -> 40 [size =\"36770816\"]\n  36 [size=\"49448960\", alpha=\"0.17\", expect_size=\"19779584\"] \n  36 -> 40 [size =\"19779584\"]\n  37 [size=\"129126400\", alpha=\"0.18\", expect_size=\"51650560\"] \n  37 -> 38 [size =\"51650560\"]\n  38 [size=\"55603200\", alpha=\"0.01\", expect_size=\"22241280\"] \n  39 [size=\"33692160\", alpha=\"0.00\", expect_size=\"13476864\"] \n  40 [size=\"119393280\", alpha=\"0.17\", expect_size=\"47757312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70314667\", alpha=\"0.13\", expect_size=\"21094400\"] \n  1 -> 13 [size =\"21094400\"]\n  1 -> 14 [size =\"21094400\"]\n  1 -> 15 [size =\"21094400\"]\n  1 -> 16 [size =\"21094400\"]\n  1 -> 25 [size =\"21094400\"]\n  2 [size=\"163693227\", alpha=\"0.12\", expect_size=\"49107968\"] \n  2 -> 13 [size =\"49107968\"]\n  2 -> 17 [size =\"49107968\"]\n  2 -> 18 [size =\"49107968\"]\n  2 -> 21 [size =\"49107968\"]\n  2 -> 25 [size =\"49107968\"]\n  3 [size=\"33979733\", alpha=\"0.17\", expect_size=\"10193920\"] \n  3 -> 13 [size =\"10193920\"]\n  3 -> 14 [size =\"10193920\"]\n  3 -> 15 [size =\"10193920\"]\n  3 -> 18 [size =\"10193920\"]\n  3 -> 20 [size =\"10193920\"]\n  3 -> 27 [size =\"10193920\"]\n  4 [size=\"35959467\", alpha=\"0.01\", expect_size=\"10787840\"] \n  4 -> 13 [size =\"10787840\"]\n  4 -> 14 [size =\"10787840\"]\n  4 -> 20 [size =\"10787840\"]\n  4 -> 25 [size =\"10787840\"]\n  4 -> 26 [size =\"10787840\"]\n  4 -> 27 [size =\"10787840\"]\n  5 [size=\"137557333\", alpha=\"0.17\", expect_size=\"41267200\"] \n  5 -> 13 [size =\"41267200\"]\n  5 -> 14 [size =\"41267200\"]\n  5 -> 16 [size =\"41267200\"]\n  5 -> 19 [size =\"41267200\"]\n  5 -> 20 [size =\"41267200\"]\n  5 -> 24 [size =\"41267200\"]\n  5 -> 27 [size =\"41267200\"]\n  6 [size=\"65918293\", alpha=\"0.17\", expect_size=\"19775488\"] \n  6 -> 14 [size =\"19775488\"]\n  6 -> 18 [size =\"19775488\"]\n  6 -> 19 [size =\"19775488\"]\n  6 -> 19 [size =\"19775488\"]\n  6 -> 21 [size =\"19775488\"]\n  6 -> 25 [size =\"19775488\"]\n  6 -> 26 [size =\"19775488\"]\n  7 [size=\"64655360\", alpha=\"0.04\", expect_size=\"19396608\"] \n  7 -> 17 [size =\"19396608\"]\n  7 -> 18 [size =\"19396608\"]\n  7 -> 19 [size =\"19396608\"]\n  7 -> 20 [size =\"19396608\"]\n  7 -> 21 [size =\"19396608\"]\n  7 -> 22 [size =\"19396608\"]\n  7 -> 24 [size =\"19396608\"]\n  7 -> 26 [size =\"19396608\"]\n  8 [size=\"35232427\", alpha=\"0.18\", expect_size=\"10569728\"] \n  8 -> 13 [size =\"10569728\"]\n  8 -> 14 [size =\"10569728\"]\n  8 -> 18 [size =\"10569728\"]\n  8 -> 19 [size =\"10569728\"]\n  8 -> 20 [size =\"10569728\"]\n  8 -> 26 [size =\"10569728\"]\n  9 [size=\"81547947\", alpha=\"0.06\", expect_size=\"24464384\"] \n  9 -> 13 [size =\"24464384\"]\n  9 -> 15 [size =\"24464384\"]\n  9 -> 18 [size =\"24464384\"]\n  9 -> 19 [size =\"24464384\"]\n  9 -> 21 [size =\"24464384\"]\n  9 -> 22 [size =\"24464384\"]\n  9 -> 26 [size =\"24464384\"]\n  10 [size=\"152678400\", alpha=\"0.08\", expect_size=\"45803520\"] \n  10 -> 15 [size =\"45803520\"]\n  10 -> 15 [size =\"45803520\"]\n  10 -> 17 [size =\"45803520\"]\n  10 -> 20 [size =\"45803520\"]\n  10 -> 23 [size =\"45803520\"]\n  10 -> 26 [size =\"45803520\"]\n  11 [size=\"31672320\", alpha=\"0.05\", expect_size=\"9501696\"] \n  11 -> 14 [size =\"9501696\"]\n  11 -> 15 [size =\"9501696\"]\n  11 -> 17 [size =\"9501696\"]\n  11 -> 20 [size =\"9501696\"]\n  11 -> 21 [size =\"9501696\"]\n  11 -> 22 [size =\"9501696\"]\n  11 -> 26 [size =\"9501696\"]\n  12 [size=\"132290560\", alpha=\"0.03\", expect_size=\"39687168\"] \n  12 -> 17 [size =\"39687168\"]\n  12 -> 18 [size =\"39687168\"]\n  12 -> 24 [size =\"39687168\"]\n  13 [size=\"67884373\", alpha=\"0.10\", expect_size=\"20365312\"] \n  13 -> 31 [size =\"20365312\"]\n  13 -> 34 [size =\"20365312\"]\n  13 -> 35 [size =\"20365312\"]\n  14 [size=\"44465493\", alpha=\"0.17\", expect_size=\"13339648\"] \n  14 -> 28 [size =\"13339648\"]\n  14 -> 29 [size =\"13339648\"]\n  14 -> 32 [size =\"13339648\"]\n  14 -> 35 [size =\"13339648\"]\n  15 [size=\"49476267\", alpha=\"0.09\", expect_size=\"14842880\"] \n  15 -> 29 [size =\"14842880\"]\n  16 [size=\"29071360\", alpha=\"0.19\", expect_size=\"8721408\"] \n  16 -> 30 [size =\"8721408\"]\n  16 -> 35 [size =\"8721408\"]\n  17 [size=\"165836800\", alpha=\"0.15\", expect_size=\"49751040\"] \n  17 -> 29 [size =\"49751040\"]\n  18 [size=\"40802987\", alpha=\"0.04\", expect_size=\"12240896\"] \n  18 -> 34 [size =\"12240896\"]\n  19 [size=\"27105280\", alpha=\"0.15\", expect_size=\"8131584\"] \n  19 -> 29 [size =\"8131584\"]\n  19 -> 34 [size =\"8131584\"]\n  20 [size=\"74079573\", alpha=\"0.20\", expect_size=\"22223872\"] \n  20 -> 28 [size =\"22223872\"]\n  20 -> 30 [size =\"22223872\"]\n  20 -> 32 [size =\"22223872\"]\n  20 -> 34 [size =\"22223872\"]\n  21 [size=\"139407360\", alpha=\"0.11\", expect_size=\"41822208\"] \n  21 -> 28 [size =\"41822208\"]\n  21 -> 33 [size =\"41822208\"]\n  21 -> 35 [size =\"41822208\"]\n  22 [size=\"24535040\", alpha=\"0.01\", expect_size=\"7360512\"] \n  22 -> 29 [size =\"7360512\"]\n  22 -> 34 [size =\"7360512\"]\n  22 -> 35 [size =\"7360512\"]\n  23 [size=\"50670933\", alpha=\"0.14\", expect_size=\"15201280\"] \n  23 -> 28 [size =\"15201280\"]\n  23 -> 29 [size =\"15201280\"]\n  23 -> 30 [size =\"15201280\"]\n  24 [size=\"127436800\", alpha=\"0.08\", expect_size=\"38231040\"] \n  24 -> 28 [size =\"38231040\"]\n  24 -> 29 [size =\"38231040\"]\n  24 -> 30 [size =\"38231040\"]\n  25 [size=\"107451733\", alpha=\"0.18\", expect_size=\"32235520\"] \n  25 -> 28 [size =\"32235520\"]\n  25 -> 29 [size =\"32235520\"]\n  25 -> 34 [size =\"32235520\"]\n  26 [size=\"23493973\", alpha=\"0.14\", expect_size=\"7048192\"] \n  26 -> 28 [size =\"7048192\"]\n  26 -> 29 [size =\"7048192\"]\n  26 -> 34 [size =\"7048192\"]\n  26 -> 35 [size =\"7048192\"]\n  27 [size=\"173841067\", alpha=\"0.16\", expect_size=\"52152320\"] \n  27 -> 28 [size =\"52152320\"]\n  27 -> 30 [size =\"52152320\"]\n  27 -> 34 [size =\"52152320\"]\n  27 -> 35 [size =\"52152320\"]\n  28 [size=\"131037867\", alpha=\"0.20\", expect_size=\"39311360\"] \n  28 -> 38 [size =\"39311360\"]\n  28 -> 39 [size =\"39311360\"]\n  29 [size=\"159805440\", alpha=\"0.12\", expect_size=\"47941632\"] \n  29 -> 37 [size =\"47941632\"]\n  29 -> 40 [size =\"47941632\"]\n  30 [size=\"120739840\", alpha=\"0.02\", expect_size=\"36221952\"] \n  30 -> 37 [size =\"36221952\"]\n  30 -> 39 [size =\"36221952\"]\n  31 [size=\"119145813\", alpha=\"0.13\", expect_size=\"35743744\"] \n  31 -> 36 [size =\"35743744\"]\n  31 -> 37 [size =\"35743744\"]\n  31 -> 39 [size =\"35743744\"]\n  32 [size=\"50582187\", alpha=\"0.19\", expect_size=\"15174656\"] \n  32 -> 36 [size =\"15174656\"]\n  32 -> 39 [size =\"15174656\"]\n  33 [size=\"61262507\", alpha=\"0.12\", expect_size=\"18378752\"] \n  33 -> 36 [size =\"18378752\"]\n  34 [size=\"167693653\", alpha=\"0.07\", expect_size=\"50308096\"] \n  34 -> 36 [size =\"50308096\"]\n  35 [size=\"73786027\", alpha=\"0.07\", expect_size=\"22135808\"] \n  35 -> 36 [size =\"22135808\"]\n  35 -> 37 [size =\"22135808\"]\n  35 -> 40 [size =\"22135808\"]\n  36 [size=\"56913920\", alpha=\"0.09\", expect_size=\"17074176\"] \n  37 [size=\"165515947\", alpha=\"0.09\", expect_size=\"49654784\"] \n  38 [size=\"132201813\", alpha=\"0.12\", expect_size=\"39660544\"] \n  39 [size=\"132014080\", alpha=\"0.16\", expect_size=\"39604224\"] \n  40 [size=\"71738027\", alpha=\"0.08\", expect_size=\"21521408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12263424\", alpha=\"0.15\", expect_size=\"6131712\"] \n  1 -> 7 [size =\"6131712\"]\n  1 -> 8 [size =\"6131712\"]\n  1 -> 10 [size =\"6131712\"]\n  1 -> 12 [size =\"6131712\"]\n  2 [size=\"22077440\", alpha=\"0.13\", expect_size=\"11038720\"] \n  2 -> 5 [size =\"11038720\"]\n  2 -> 6 [size =\"11038720\"]\n  2 -> 8 [size =\"11038720\"]\n  2 -> 9 [size =\"11038720\"]\n  2 -> 10 [size =\"11038720\"]\n  2 -> 11 [size =\"11038720\"]\n  3 [size=\"31234048\", alpha=\"0.19\", expect_size=\"15617024\"] \n  3 -> 5 [size =\"15617024\"]\n  3 -> 6 [size =\"15617024\"]\n  3 -> 7 [size =\"15617024\"]\n  4 [size=\"22310912\", alpha=\"0.05\", expect_size=\"11155456\"] \n  4 -> 7 [size =\"11155456\"]\n  4 -> 8 [size =\"11155456\"]\n  5 [size=\"69959680\", alpha=\"0.10\", expect_size=\"34979840\"] \n  5 -> 13 [size =\"34979840\"]\n  5 -> 19 [size =\"34979840\"]\n  6 [size=\"29749248\", alpha=\"0.13\", expect_size=\"14874624\"] \n  6 -> 15 [size =\"14874624\"]\n  6 -> 17 [size =\"14874624\"]\n  7 [size=\"64288768\", alpha=\"0.16\", expect_size=\"32144384\"] \n  7 -> 16 [size =\"32144384\"]\n  7 -> 18 [size =\"32144384\"]\n  8 [size=\"66285568\", alpha=\"0.11\", expect_size=\"33142784\"] \n  8 -> 16 [size =\"33142784\"]\n  8 -> 19 [size =\"33142784\"]\n  9 [size=\"82270208\", alpha=\"0.05\", expect_size=\"41135104\"] \n  9 -> 13 [size =\"41135104\"]\n  9 -> 16 [size =\"41135104\"]\n  9 -> 17 [size =\"41135104\"]\n  9 -> 19 [size =\"41135104\"]\n  10 [size=\"70146048\", alpha=\"0.01\", expect_size=\"35073024\"] \n  10 -> 16 [size =\"35073024\"]\n  10 -> 16 [size =\"35073024\"]\n  10 -> 17 [size =\"35073024\"]\n  10 -> 19 [size =\"35073024\"]\n  11 [size=\"57194496\", alpha=\"0.01\", expect_size=\"28597248\"] \n  11 -> 13 [size =\"28597248\"]\n  11 -> 14 [size =\"28597248\"]\n  11 -> 15 [size =\"28597248\"]\n  11 -> 19 [size =\"28597248\"]\n  12 [size=\"34668544\", alpha=\"0.04\", expect_size=\"17334272\"] \n  12 -> 19 [size =\"17334272\"]\n  13 [size=\"96550912\", alpha=\"0.12\", expect_size=\"48275456\"] \n  13 -> 20 [size =\"48275456\"]\n  13 -> 22 [size =\"48275456\"]\n  13 -> 23 [size =\"48275456\"]\n  13 -> 24 [size =\"48275456\"]\n  13 -> 25 [size =\"48275456\"]\n  13 -> 26 [size =\"48275456\"]\n  14 [size=\"92194816\", alpha=\"0.14\", expect_size=\"46097408\"] \n  14 -> 22 [size =\"46097408\"]\n  14 -> 25 [size =\"46097408\"]\n  14 -> 26 [size =\"46097408\"]\n  15 [size=\"22392832\", alpha=\"0.17\", expect_size=\"11196416\"] \n  15 -> 20 [size =\"11196416\"]\n  15 -> 21 [size =\"11196416\"]\n  15 -> 27 [size =\"11196416\"]\n  16 [size=\"67944448\", alpha=\"0.07\", expect_size=\"33972224\"] \n  16 -> 21 [size =\"33972224\"]\n  16 -> 21 [size =\"33972224\"]\n  16 -> 22 [size =\"33972224\"]\n  16 -> 23 [size =\"33972224\"]\n  16 -> 24 [size =\"33972224\"]\n  17 [size=\"36823040\", alpha=\"0.15\", expect_size=\"18411520\"] \n  17 -> 21 [size =\"18411520\"]\n  17 -> 23 [size =\"18411520\"]\n  17 -> 25 [size =\"18411520\"]\n  17 -> 27 [size =\"18411520\"]\n  18 [size=\"19011584\", alpha=\"0.09\", expect_size=\"9505792\"] \n  18 -> 20 [size =\"9505792\"]\n  18 -> 23 [size =\"9505792\"]\n  18 -> 24 [size =\"9505792\"]\n  18 -> 25 [size =\"9505792\"]\n  19 [size=\"69941248\", alpha=\"0.03\", expect_size=\"34970624\"] \n  19 -> 20 [size =\"34970624\"]\n  19 -> 23 [size =\"34970624\"]\n  19 -> 24 [size =\"34970624\"]\n  19 -> 26 [size =\"34970624\"]\n  20 [size=\"94797824\", alpha=\"0.01\", expect_size=\"47398912\"] \n  20 -> 29 [size =\"47398912\"]\n  20 -> 30 [size =\"47398912\"]\n  21 [size=\"100579328\", alpha=\"0.19\", expect_size=\"50289664\"] \n  21 -> 31 [size =\"50289664\"]\n  22 [size=\"12898304\", alpha=\"0.20\", expect_size=\"6449152\"] \n  23 [size=\"33556480\", alpha=\"0.05\", expect_size=\"16778240\"] \n  23 -> 30 [size =\"16778240\"]\n  24 [size=\"89178112\", alpha=\"0.13\", expect_size=\"44589056\"] \n  25 [size=\"62164992\", alpha=\"0.13\", expect_size=\"31082496\"] \n  25 -> 28 [size =\"31082496\"]\n  26 [size=\"48072704\", alpha=\"0.17\", expect_size=\"24036352\"] \n  27 [size=\"82741248\", alpha=\"0.13\", expect_size=\"41370624\"] \n  27 -> 29 [size =\"41370624\"]\n  27 -> 31 [size =\"41370624\"]\n  28 [size=\"58601472\", alpha=\"0.01\", expect_size=\"29300736\"] \n  28 -> 34 [size =\"29300736\"]\n  28 -> 35 [size =\"29300736\"]\n  28 -> 36 [size =\"29300736\"]\n  29 [size=\"100370432\", alpha=\"0.03\", expect_size=\"50185216\"] \n  29 -> 32 [size =\"50185216\"]\n  29 -> 33 [size =\"50185216\"]\n  29 -> 34 [size =\"50185216\"]\n  29 -> 36 [size =\"50185216\"]\n  29 -> 37 [size =\"50185216\"]\n  29 -> 38 [size =\"50185216\"]\n  30 [size=\"18847744\", alpha=\"0.19\", expect_size=\"9423872\"] \n  30 -> 36 [size =\"9423872\"]\n  31 [size=\"21968896\", alpha=\"0.04\", expect_size=\"10984448\"] \n  31 -> 34 [size =\"10984448\"]\n  31 -> 38 [size =\"10984448\"]\n  32 [size=\"17137664\", alpha=\"0.15\", expect_size=\"8568832\"] \n  32 -> 39 [size =\"8568832\"]\n  32 -> 40 [size =\"8568832\"]\n  33 [size=\"15949824\", alpha=\"0.03\", expect_size=\"7974912\"] \n  34 [size=\"39153664\", alpha=\"0.09\", expect_size=\"19576832\"] \n  34 -> 40 [size =\"19576832\"]\n  35 [size=\"98576384\", alpha=\"0.18\", expect_size=\"49288192\"] \n  35 -> 39 [size =\"49288192\"]\n  35 -> 40 [size =\"49288192\"]\n  36 [size=\"64948224\", alpha=\"0.19\", expect_size=\"32474112\"] \n  36 -> 39 [size =\"32474112\"]\n  36 -> 40 [size =\"32474112\"]\n  37 [size=\"51904512\", alpha=\"0.05\", expect_size=\"25952256\"] \n  37 -> 40 [size =\"25952256\"]\n  38 [size=\"18882560\", alpha=\"0.13\", expect_size=\"9441280\"] \n  39 [size=\"21678080\", alpha=\"0.14\", expect_size=\"10839040\"] \n  40 [size=\"37705728\", alpha=\"0.12\", expect_size=\"18852864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73902080\", alpha=\"0.08\", expect_size=\"36951040\"] \n  1 -> 2 [size =\"36951040\"]\n  2 [size=\"69470208\", alpha=\"0.05\", expect_size=\"34735104\"] \n  2 -> 3 [size =\"34735104\"]\n  3 [size=\"104069120\", alpha=\"0.18\", expect_size=\"52034560\"] \n  3 -> 4 [size =\"52034560\"]\n  4 [size=\"70004736\", alpha=\"0.14\", expect_size=\"35002368\"] \n  4 -> 5 [size =\"35002368\"]\n  5 [size=\"77733888\", alpha=\"0.09\", expect_size=\"38866944\"] \n  5 -> 6 [size =\"38866944\"]\n  6 [size=\"41730048\", alpha=\"0.15\", expect_size=\"20865024\"] \n  6 -> 7 [size =\"20865024\"]\n  7 [size=\"59607040\", alpha=\"0.11\", expect_size=\"29803520\"] \n  7 -> 8 [size =\"29803520\"]\n  8 [size=\"36648960\", alpha=\"0.14\", expect_size=\"18324480\"] \n  8 -> 9 [size =\"18324480\"]\n  9 [size=\"44511232\", alpha=\"0.08\", expect_size=\"22255616\"] \n  9 -> 10 [size =\"22255616\"]\n  10 [size=\"27543552\", alpha=\"0.05\", expect_size=\"13771776\"] \n  10 -> 11 [size =\"13771776\"]\n  11 [size=\"21692416\", alpha=\"0.04\", expect_size=\"10846208\"] \n  11 -> 12 [size =\"10846208\"]\n  12 [size=\"60084224\", alpha=\"0.20\", expect_size=\"30042112\"] \n  12 -> 13 [size =\"30042112\"]\n  13 [size=\"84375552\", alpha=\"0.05\", expect_size=\"42187776\"] \n  13 -> 14 [size =\"42187776\"]\n  14 [size=\"75610112\", alpha=\"0.00\", expect_size=\"37805056\"] \n  14 -> 15 [size =\"37805056\"]\n  15 [size=\"45930496\", alpha=\"0.17\", expect_size=\"22965248\"] \n  15 -> 16 [size =\"22965248\"]\n  16 [size=\"87568384\", alpha=\"0.04\", expect_size=\"43784192\"] \n  16 -> 17 [size =\"43784192\"]\n  17 [size=\"62502912\", alpha=\"0.07\", expect_size=\"31251456\"] \n  17 -> 18 [size =\"31251456\"]\n  18 [size=\"20725760\", alpha=\"0.12\", expect_size=\"10362880\"] \n  18 -> 19 [size =\"10362880\"]\n  19 [size=\"86939648\", alpha=\"0.11\", expect_size=\"43469824\"] \n  19 -> 20 [size =\"43469824\"]\n  20 [size=\"31954944\", alpha=\"0.15\", expect_size=\"15977472\"] \n  20 -> 21 [size =\"15977472\"]\n  21 [size=\"54784000\", alpha=\"0.13\", expect_size=\"27392000\"] \n  21 -> 22 [size =\"27392000\"]\n  22 [size=\"74416128\", alpha=\"0.03\", expect_size=\"37208064\"] \n  22 -> 23 [size =\"37208064\"]\n  23 [size=\"74135552\", alpha=\"0.12\", expect_size=\"37067776\"] \n  23 -> 24 [size =\"37067776\"]\n  24 [size=\"99960832\", alpha=\"0.15\", expect_size=\"49980416\"] \n  24 -> 25 [size =\"49980416\"]\n  25 [size=\"100210688\", alpha=\"0.11\", expect_size=\"50105344\"] \n  25 -> 26 [size =\"50105344\"]\n  26 [size=\"85024768\", alpha=\"0.15\", expect_size=\"42512384\"] \n  26 -> 27 [size =\"42512384\"]\n  27 [size=\"103966720\", alpha=\"0.08\", expect_size=\"51983360\"] \n  27 -> 28 [size =\"51983360\"]\n  28 [size=\"41078784\", alpha=\"0.07\", expect_size=\"20539392\"] \n  28 -> 29 [size =\"20539392\"]\n  29 [size=\"99758080\", alpha=\"0.14\", expect_size=\"49879040\"] \n  29 -> 30 [size =\"49879040\"]\n  30 [size=\"59578368\", alpha=\"0.04\", expect_size=\"29789184\"] \n  30 -> 31 [size =\"29789184\"]\n  31 [size=\"38096896\", alpha=\"0.16\", expect_size=\"19048448\"] \n  31 -> 32 [size =\"19048448\"]\n  32 [size=\"98729984\", alpha=\"0.19\", expect_size=\"49364992\"] \n  32 -> 33 [size =\"49364992\"]\n  33 [size=\"17348608\", alpha=\"0.18\", expect_size=\"8674304\"] \n  33 -> 34 [size =\"8674304\"]\n  34 [size=\"76279808\", alpha=\"0.10\", expect_size=\"38139904\"] \n  34 -> 35 [size =\"38139904\"]\n  35 [size=\"51927040\", alpha=\"0.10\", expect_size=\"25963520\"] \n  35 -> 36 [size =\"25963520\"]\n  36 [size=\"11544576\", alpha=\"0.06\", expect_size=\"5772288\"] \n  36 -> 37 [size =\"5772288\"]\n  37 [size=\"80746496\", alpha=\"0.13\", expect_size=\"40373248\"] \n  37 -> 38 [size =\"40373248\"]\n  38 [size=\"25540608\", alpha=\"0.03\", expect_size=\"12770304\"] \n  38 -> 39 [size =\"12770304\"]\n  39 [size=\"60837888\", alpha=\"0.08\", expect_size=\"30418944\"] \n  39 -> 40 [size =\"30418944\"]\n  40 [size=\"31918080\", alpha=\"0.18\", expect_size=\"15959040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121309867\", alpha=\"0.03\", expect_size=\"36392960\"] \n  2 [size=\"72939520\", alpha=\"0.00\", expect_size=\"21881856\"] \n  2 -> 4 [size =\"21881856\"]\n  2 -> 6 [size =\"21881856\"]\n  3 [size=\"56750080\", alpha=\"0.06\", expect_size=\"17025024\"] \n  3 -> 5 [size =\"17025024\"]\n  3 -> 6 [size =\"17025024\"]\n  4 [size=\"150179840\", alpha=\"0.04\", expect_size=\"45053952\"] \n  4 -> 7 [size =\"45053952\"]\n  4 -> 8 [size =\"45053952\"]\n  5 [size=\"167236267\", alpha=\"0.11\", expect_size=\"50170880\"] \n  5 -> 9 [size =\"50170880\"]\n  6 [size=\"135806293\", alpha=\"0.09\", expect_size=\"40741888\"] \n  6 -> 7 [size =\"40741888\"]\n  7 [size=\"153238187\", alpha=\"0.19\", expect_size=\"45971456\"] \n  8 [size=\"166782293\", alpha=\"0.17\", expect_size=\"50034688\"] \n  9 [size=\"78120960\", alpha=\"0.13\", expect_size=\"23436288\"] \n  9 -> 10 [size =\"23436288\"]\n  9 -> 11 [size =\"23436288\"]\n  10 [size=\"79465813\", alpha=\"0.02\", expect_size=\"23839744\"] \n  11 [size=\"145834667\", alpha=\"0.03\", expect_size=\"43750400\"] \n  11 -> 12 [size =\"43750400\"]\n  11 -> 13 [size =\"43750400\"]\n  11 -> 14 [size =\"43750400\"]\n  12 [size=\"167642453\", alpha=\"0.06\", expect_size=\"50292736\"] \n  12 -> 16 [size =\"50292736\"]\n  12 -> 17 [size =\"50292736\"]\n  13 [size=\"169990827\", alpha=\"0.14\", expect_size=\"50997248\"] \n  13 -> 16 [size =\"50997248\"]\n  13 -> 17 [size =\"50997248\"]\n  14 [size=\"58613760\", alpha=\"0.04\", expect_size=\"17584128\"] \n  14 -> 15 [size =\"17584128\"]\n  15 [size=\"92071253\", alpha=\"0.14\", expect_size=\"27621376\"] \n  15 -> 18 [size =\"27621376\"]\n  15 -> 19 [size =\"27621376\"]\n  16 [size=\"22046720\", alpha=\"0.04\", expect_size=\"6614016\"] \n  17 [size=\"93934933\", alpha=\"0.09\", expect_size=\"28180480\"] \n  18 [size=\"87763627\", alpha=\"0.11\", expect_size=\"26329088\"] \n  18 -> 20 [size =\"26329088\"]\n  18 -> 21 [size =\"26329088\"]\n  19 [size=\"65078613\", alpha=\"0.14\", expect_size=\"19523584\"] \n  19 -> 21 [size =\"19523584\"]\n  19 -> 22 [size =\"19523584\"]\n  20 [size=\"171243520\", alpha=\"0.07\", expect_size=\"51373056\"] \n  20 -> 23 [size =\"51373056\"]\n  20 -> 24 [size =\"51373056\"]\n  20 -> 25 [size =\"51373056\"]\n  21 [size=\"30641493\", alpha=\"0.14\", expect_size=\"9192448\"] \n  21 -> 23 [size =\"9192448\"]\n  21 -> 25 [size =\"9192448\"]\n  22 [size=\"57245013\", alpha=\"0.07\", expect_size=\"17173504\"] \n  23 [size=\"103024640\", alpha=\"0.05\", expect_size=\"30907392\"] \n  23 -> 27 [size =\"30907392\"]\n  24 [size=\"53302613\", alpha=\"0.01\", expect_size=\"15990784\"] \n  24 -> 26 [size =\"15990784\"]\n  24 -> 27 [size =\"15990784\"]\n  25 [size=\"88060587\", alpha=\"0.15\", expect_size=\"26418176\"] \n  25 -> 26 [size =\"26418176\"]\n  26 [size=\"41243307\", alpha=\"0.04\", expect_size=\"12372992\"] \n  27 [size=\"70082560\", alpha=\"0.11\", expect_size=\"21024768\"] \n  27 -> 28 [size =\"21024768\"]\n  27 -> 29 [size =\"21024768\"]\n  28 [size=\"139485867\", alpha=\"0.17\", expect_size=\"41845760\"] \n  28 -> 31 [size =\"41845760\"]\n  28 -> 32 [size =\"41845760\"]\n  29 [size=\"70567253\", alpha=\"0.10\", expect_size=\"21170176\"] \n  29 -> 30 [size =\"21170176\"]\n  29 -> 31 [size =\"21170176\"]\n  29 -> 32 [size =\"21170176\"]\n  30 [size=\"24951467\", alpha=\"0.11\", expect_size=\"7485440\"] \n  30 -> 33 [size =\"7485440\"]\n  31 [size=\"82732373\", alpha=\"0.09\", expect_size=\"24819712\"] \n  31 -> 33 [size =\"24819712\"]\n  31 -> 34 [size =\"24819712\"]\n  32 [size=\"33167360\", alpha=\"0.05\", expect_size=\"9950208\"] \n  33 [size=\"89009493\", alpha=\"0.01\", expect_size=\"26702848\"] \n  33 -> 35 [size =\"26702848\"]\n  33 -> 36 [size =\"26702848\"]\n  34 [size=\"132249600\", alpha=\"0.03\", expect_size=\"39674880\"] \n  34 -> 35 [size =\"39674880\"]\n  34 -> 36 [size =\"39674880\"]\n  34 -> 37 [size =\"39674880\"]\n  35 [size=\"138301440\", alpha=\"0.13\", expect_size=\"41490432\"] \n  35 -> 38 [size =\"41490432\"]\n  35 -> 39 [size =\"41490432\"]\n  36 [size=\"99645440\", alpha=\"0.05\", expect_size=\"29893632\"] \n  36 -> 38 [size =\"29893632\"]\n  37 [size=\"134608213\", alpha=\"0.06\", expect_size=\"40382464\"] \n  38 [size=\"64385707\", alpha=\"0.16\", expect_size=\"19315712\"] \n  38 -> 40 [size =\"19315712\"]\n  39 [size=\"38280533\", alpha=\"0.12\", expect_size=\"11484160\"] \n  40 [size=\"116940800\", alpha=\"0.07\", expect_size=\"35082240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99518464\", alpha=\"0.06\", expect_size=\"49759232\"] \n  1 -> 14 [size =\"49759232\"]\n  1 -> 15 [size =\"49759232\"]\n  1 -> 16 [size =\"49759232\"]\n  1 -> 20 [size =\"49759232\"]\n  1 -> 22 [size =\"49759232\"]\n  1 -> 25 [size =\"49759232\"]\n  2 [size=\"76914688\", alpha=\"0.12\", expect_size=\"38457344\"] \n  2 -> 14 [size =\"38457344\"]\n  2 -> 15 [size =\"38457344\"]\n  2 -> 17 [size =\"38457344\"]\n  2 -> 19 [size =\"38457344\"]\n  2 -> 20 [size =\"38457344\"]\n  2 -> 22 [size =\"38457344\"]\n  2 -> 25 [size =\"38457344\"]\n  3 [size=\"26236928\", alpha=\"0.05\", expect_size=\"13118464\"] \n  3 -> 15 [size =\"13118464\"]\n  3 -> 17 [size =\"13118464\"]\n  3 -> 21 [size =\"13118464\"]\n  3 -> 22 [size =\"13118464\"]\n  3 -> 24 [size =\"13118464\"]\n  3 -> 25 [size =\"13118464\"]\n  3 -> 26 [size =\"13118464\"]\n  4 [size=\"51501056\", alpha=\"0.06\", expect_size=\"25750528\"] \n  4 -> 14 [size =\"25750528\"]\n  4 -> 15 [size =\"25750528\"]\n  4 -> 16 [size =\"25750528\"]\n  4 -> 17 [size =\"25750528\"]\n  4 -> 18 [size =\"25750528\"]\n  4 -> 22 [size =\"25750528\"]\n  4 -> 27 [size =\"25750528\"]\n  5 [size=\"91750400\", alpha=\"0.11\", expect_size=\"45875200\"] \n  5 -> 18 [size =\"45875200\"]\n  5 -> 19 [size =\"45875200\"]\n  5 -> 25 [size =\"45875200\"]\n  5 -> 26 [size =\"45875200\"]\n  6 [size=\"84942848\", alpha=\"0.14\", expect_size=\"42471424\"] \n  6 -> 21 [size =\"42471424\"]\n  6 -> 25 [size =\"42471424\"]\n  6 -> 26 [size =\"42471424\"]\n  7 [size=\"13234176\", alpha=\"0.02\", expect_size=\"6617088\"] \n  7 -> 15 [size =\"6617088\"]\n  7 -> 17 [size =\"6617088\"]\n  7 -> 18 [size =\"6617088\"]\n  7 -> 20 [size =\"6617088\"]\n  7 -> 21 [size =\"6617088\"]\n  7 -> 23 [size =\"6617088\"]\n  7 -> 24 [size =\"6617088\"]\n  8 [size=\"58025984\", alpha=\"0.12\", expect_size=\"29012992\"] \n  8 -> 14 [size =\"29012992\"]\n  8 -> 15 [size =\"29012992\"]\n  8 -> 24 [size =\"29012992\"]\n  9 [size=\"103043072\", alpha=\"0.00\", expect_size=\"51521536\"] \n  9 -> 14 [size =\"51521536\"]\n  9 -> 16 [size =\"51521536\"]\n  9 -> 18 [size =\"51521536\"]\n  9 -> 21 [size =\"51521536\"]\n  9 -> 22 [size =\"51521536\"]\n  9 -> 24 [size =\"51521536\"]\n  10 [size=\"65875968\", alpha=\"0.09\", expect_size=\"32937984\"] \n  10 -> 16 [size =\"32937984\"]\n  10 -> 18 [size =\"32937984\"]\n  10 -> 21 [size =\"32937984\"]\n  10 -> 22 [size =\"32937984\"]\n  10 -> 24 [size =\"32937984\"]\n  10 -> 24 [size =\"32937984\"]\n  11 [size=\"33372160\", alpha=\"0.13\", expect_size=\"16686080\"] \n  11 -> 15 [size =\"16686080\"]\n  11 -> 20 [size =\"16686080\"]\n  11 -> 21 [size =\"16686080\"]\n  11 -> 22 [size =\"16686080\"]\n  11 -> 23 [size =\"16686080\"]\n  11 -> 24 [size =\"16686080\"]\n  11 -> 25 [size =\"16686080\"]\n  12 [size=\"62705664\", alpha=\"0.07\", expect_size=\"31352832\"] \n  12 -> 15 [size =\"31352832\"]\n  12 -> 17 [size =\"31352832\"]\n  12 -> 18 [size =\"31352832\"]\n  12 -> 21 [size =\"31352832\"]\n  12 -> 23 [size =\"31352832\"]\n  12 -> 24 [size =\"31352832\"]\n  12 -> 25 [size =\"31352832\"]\n  12 -> 27 [size =\"31352832\"]\n  13 [size=\"25370624\", alpha=\"0.03\", expect_size=\"12685312\"] \n  13 -> 14 [size =\"12685312\"]\n  13 -> 15 [size =\"12685312\"]\n  13 -> 17 [size =\"12685312\"]\n  13 -> 20 [size =\"12685312\"]\n  13 -> 23 [size =\"12685312\"]\n  13 -> 24 [size =\"12685312\"]\n  13 -> 27 [size =\"12685312\"]\n  14 [size=\"50450432\", alpha=\"0.10\", expect_size=\"25225216\"] \n  14 -> 29 [size =\"25225216\"]\n  14 -> 30 [size =\"25225216\"]\n  14 -> 37 [size =\"25225216\"]\n  15 [size=\"78532608\", alpha=\"0.14\", expect_size=\"39266304\"] \n  15 -> 28 [size =\"39266304\"]\n  15 -> 30 [size =\"39266304\"]\n  15 -> 33 [size =\"39266304\"]\n  15 -> 37 [size =\"39266304\"]\n  15 -> 38 [size =\"39266304\"]\n  16 [size=\"35026944\", alpha=\"0.02\", expect_size=\"17513472\"] \n  16 -> 29 [size =\"17513472\"]\n  16 -> 33 [size =\"17513472\"]\n  16 -> 35 [size =\"17513472\"]\n  16 -> 36 [size =\"17513472\"]\n  16 -> 37 [size =\"17513472\"]\n  16 -> 39 [size =\"17513472\"]\n  17 [size=\"101646336\", alpha=\"0.12\", expect_size=\"50823168\"] \n  17 -> 28 [size =\"50823168\"]\n  17 -> 29 [size =\"50823168\"]\n  17 -> 35 [size =\"50823168\"]\n  17 -> 37 [size =\"50823168\"]\n  17 -> 39 [size =\"50823168\"]\n  18 [size=\"16285696\", alpha=\"0.17\", expect_size=\"8142848\"] \n  18 -> 28 [size =\"8142848\"]\n  18 -> 30 [size =\"8142848\"]\n  18 -> 33 [size =\"8142848\"]\n  18 -> 37 [size =\"8142848\"]\n  18 -> 39 [size =\"8142848\"]\n  19 [size=\"72974336\", alpha=\"0.16\", expect_size=\"36487168\"] \n  19 -> 28 [size =\"36487168\"]\n  19 -> 31 [size =\"36487168\"]\n  19 -> 37 [size =\"36487168\"]\n  19 -> 37 [size =\"36487168\"]\n  19 -> 38 [size =\"36487168\"]\n  19 -> 39 [size =\"36487168\"]\n  20 [size=\"74082304\", alpha=\"0.08\", expect_size=\"37041152\"] \n  20 -> 28 [size =\"37041152\"]\n  20 -> 29 [size =\"37041152\"]\n  21 [size=\"21858304\", alpha=\"0.20\", expect_size=\"10929152\"] \n  21 -> 29 [size =\"10929152\"]\n  21 -> 30 [size =\"10929152\"]\n  21 -> 33 [size =\"10929152\"]\n  21 -> 35 [size =\"10929152\"]\n  21 -> 37 [size =\"10929152\"]\n  22 [size=\"81172480\", alpha=\"0.05\", expect_size=\"40586240\"] \n  22 -> 28 [size =\"40586240\"]\n  22 -> 38 [size =\"40586240\"]\n  22 -> 39 [size =\"40586240\"]\n  23 [size=\"20875264\", alpha=\"0.13\", expect_size=\"10437632\"] \n  23 -> 28 [size =\"10437632\"]\n  23 -> 29 [size =\"10437632\"]\n  23 -> 31 [size =\"10437632\"]\n  23 -> 35 [size =\"10437632\"]\n  23 -> 39 [size =\"10437632\"]\n  24 [size=\"35792896\", alpha=\"0.11\", expect_size=\"17896448\"] \n  24 -> 28 [size =\"17896448\"]\n  24 -> 30 [size =\"17896448\"]\n  24 -> 32 [size =\"17896448\"]\n  24 -> 38 [size =\"17896448\"]\n  24 -> 39 [size =\"17896448\"]\n  25 [size=\"82688000\", alpha=\"0.05\", expect_size=\"41344000\"] \n  25 -> 28 [size =\"41344000\"]\n  25 -> 29 [size =\"41344000\"]\n  25 -> 30 [size =\"41344000\"]\n  25 -> 37 [size =\"41344000\"]\n  25 -> 39 [size =\"41344000\"]\n  26 [size=\"52596736\", alpha=\"0.15\", expect_size=\"26298368\"] \n  26 -> 39 [size =\"26298368\"]\n  27 [size=\"63105024\", alpha=\"0.06\", expect_size=\"31552512\"] \n  27 -> 34 [size =\"31552512\"]\n  27 -> 39 [size =\"31552512\"]\n  28 [size=\"27035648\", alpha=\"0.07\", expect_size=\"13517824\"] \n  29 [size=\"12023808\", alpha=\"0.08\", expect_size=\"6011904\"] \n  29 -> 40 [size =\"6011904\"]\n  30 [size=\"87928832\", alpha=\"0.20\", expect_size=\"43964416\"] \n  31 [size=\"33032192\", alpha=\"0.17\", expect_size=\"16516096\"] \n  31 -> 40 [size =\"16516096\"]\n  32 [size=\"30744576\", alpha=\"0.05\", expect_size=\"15372288\"] \n  33 [size=\"53123072\", alpha=\"0.17\", expect_size=\"26561536\"] \n  33 -> 40 [size =\"26561536\"]\n  34 [size=\"21549056\", alpha=\"0.16\", expect_size=\"10774528\"] \n  35 [size=\"71409664\", alpha=\"0.11\", expect_size=\"35704832\"] \n  35 -> 40 [size =\"35704832\"]\n  36 [size=\"95225856\", alpha=\"0.10\", expect_size=\"47612928\"] \n  36 -> 40 [size =\"47612928\"]\n  37 [size=\"73086976\", alpha=\"0.09\", expect_size=\"36543488\"] \n  37 -> 40 [size =\"36543488\"]\n  38 [size=\"102113280\", alpha=\"0.09\", expect_size=\"51056640\"] \n  39 [size=\"41103360\", alpha=\"0.02\", expect_size=\"20551680\"] \n  40 [size=\"76988416\", alpha=\"0.09\", expect_size=\"38494208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31145984\", alpha=\"0.08\", expect_size=\"15572992\"] \n  1 -> 3 [size =\"15572992\"]\n  1 -> 4 [size =\"15572992\"]\n  2 [size=\"20527104\", alpha=\"0.16\", expect_size=\"10263552\"] \n  2 -> 3 [size =\"10263552\"]\n  3 [size=\"50827264\", alpha=\"0.01\", expect_size=\"25413632\"] \n  3 -> 5 [size =\"25413632\"]\n  4 [size=\"100505600\", alpha=\"0.10\", expect_size=\"50252800\"] \n  4 -> 5 [size =\"50252800\"]\n  4 -> 6 [size =\"50252800\"]\n  5 [size=\"25194496\", alpha=\"0.05\", expect_size=\"12597248\"] \n  6 [size=\"55490560\", alpha=\"0.05\", expect_size=\"27745280\"] \n  6 -> 7 [size =\"27745280\"]\n  6 -> 8 [size =\"27745280\"]\n  6 -> 9 [size =\"27745280\"]\n  7 [size=\"36001792\", alpha=\"0.08\", expect_size=\"18000896\"] \n  7 -> 12 [size =\"18000896\"]\n  8 [size=\"86024192\", alpha=\"0.04\", expect_size=\"43012096\"] \n  8 -> 10 [size =\"43012096\"]\n  8 -> 11 [size =\"43012096\"]\n  9 [size=\"17158144\", alpha=\"0.07\", expect_size=\"8579072\"] \n  9 -> 10 [size =\"8579072\"]\n  9 -> 12 [size =\"8579072\"]\n  10 [size=\"70395904\", alpha=\"0.03\", expect_size=\"35197952\"] \n  10 -> 13 [size =\"35197952\"]\n  11 [size=\"43177984\", alpha=\"0.17\", expect_size=\"21588992\"] \n  11 -> 13 [size =\"21588992\"]\n  11 -> 14 [size =\"21588992\"]\n  12 [size=\"82726912\", alpha=\"0.08\", expect_size=\"41363456\"] \n  12 -> 13 [size =\"41363456\"]\n  12 -> 14 [size =\"41363456\"]\n  13 [size=\"64475136\", alpha=\"0.03\", expect_size=\"32237568\"] \n  13 -> 15 [size =\"32237568\"]\n  13 -> 16 [size =\"32237568\"]\n  13 -> 17 [size =\"32237568\"]\n  14 [size=\"68732928\", alpha=\"0.06\", expect_size=\"34366464\"] \n  14 -> 15 [size =\"34366464\"]\n  14 -> 16 [size =\"34366464\"]\n  14 -> 17 [size =\"34366464\"]\n  15 [size=\"19654656\", alpha=\"0.17\", expect_size=\"9827328\"] \n  16 [size=\"41302016\", alpha=\"0.18\", expect_size=\"20651008\"] \n  16 -> 18 [size =\"20651008\"]\n  16 -> 19 [size =\"20651008\"]\n  17 [size=\"66424832\", alpha=\"0.16\", expect_size=\"33212416\"] \n  17 -> 18 [size =\"33212416\"]\n  18 [size=\"102830080\", alpha=\"0.18\", expect_size=\"51415040\"] \n  18 -> 20 [size =\"51415040\"]\n  18 -> 21 [size =\"51415040\"]\n  18 -> 22 [size =\"51415040\"]\n  19 [size=\"29644800\", alpha=\"0.05\", expect_size=\"14822400\"] \n  19 -> 20 [size =\"14822400\"]\n  19 -> 21 [size =\"14822400\"]\n  19 -> 22 [size =\"14822400\"]\n  20 [size=\"61691904\", alpha=\"0.02\", expect_size=\"30845952\"] \n  20 -> 23 [size =\"30845952\"]\n  21 [size=\"76306432\", alpha=\"0.04\", expect_size=\"38153216\"] \n  21 -> 24 [size =\"38153216\"]\n  22 [size=\"63047680\", alpha=\"0.08\", expect_size=\"31523840\"] \n  22 -> 23 [size =\"31523840\"]\n  23 [size=\"103145472\", alpha=\"0.00\", expect_size=\"51572736\"] \n  23 -> 25 [size =\"51572736\"]\n  23 -> 26 [size =\"51572736\"]\n  24 [size=\"24096768\", alpha=\"0.12\", expect_size=\"12048384\"] \n  24 -> 25 [size =\"12048384\"]\n  24 -> 26 [size =\"12048384\"]\n  25 [size=\"51632128\", alpha=\"0.06\", expect_size=\"25816064\"] \n  26 [size=\"39110656\", alpha=\"0.10\", expect_size=\"19555328\"] \n  26 -> 27 [size =\"19555328\"]\n  26 -> 28 [size =\"19555328\"]\n  27 [size=\"31275008\", alpha=\"0.20\", expect_size=\"15637504\"] \n  27 -> 29 [size =\"15637504\"]\n  27 -> 31 [size =\"15637504\"]\n  28 [size=\"104421376\", alpha=\"0.05\", expect_size=\"52210688\"] \n  28 -> 29 [size =\"52210688\"]\n  28 -> 30 [size =\"52210688\"]\n  28 -> 31 [size =\"52210688\"]\n  29 [size=\"97212416\", alpha=\"0.12\", expect_size=\"48606208\"] \n  29 -> 32 [size =\"48606208\"]\n  29 -> 33 [size =\"48606208\"]\n  29 -> 34 [size =\"48606208\"]\n  30 [size=\"26808320\", alpha=\"0.12\", expect_size=\"13404160\"] \n  30 -> 32 [size =\"13404160\"]\n  30 -> 34 [size =\"13404160\"]\n  31 [size=\"37920768\", alpha=\"0.18\", expect_size=\"18960384\"] \n  31 -> 34 [size =\"18960384\"]\n  32 [size=\"56842240\", alpha=\"0.20\", expect_size=\"28421120\"] \n  32 -> 35 [size =\"28421120\"]\n  32 -> 37 [size =\"28421120\"]\n  33 [size=\"93614080\", alpha=\"0.13\", expect_size=\"46807040\"] \n  33 -> 36 [size =\"46807040\"]\n  33 -> 37 [size =\"46807040\"]\n  34 [size=\"94208000\", alpha=\"0.19\", expect_size=\"47104000\"] \n  34 -> 35 [size =\"47104000\"]\n  34 -> 36 [size =\"47104000\"]\n  34 -> 37 [size =\"47104000\"]\n  35 [size=\"54272000\", alpha=\"0.06\", expect_size=\"27136000\"] \n  36 [size=\"82886656\", alpha=\"0.00\", expect_size=\"41443328\"] \n  36 -> 39 [size =\"41443328\"]\n  37 [size=\"36313088\", alpha=\"0.06\", expect_size=\"18156544\"] \n  37 -> 38 [size =\"18156544\"]\n  37 -> 40 [size =\"18156544\"]\n  38 [size=\"34443264\", alpha=\"0.12\", expect_size=\"17221632\"] \n  39 [size=\"58441728\", alpha=\"0.02\", expect_size=\"29220864\"] \n  40 [size=\"20611072\", alpha=\"0.02\", expect_size=\"10305536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59211776\", alpha=\"0.02\", expect_size=\"29605888\"] \n  1 -> 2 [size =\"29605888\"]\n  2 [size=\"94121984\", alpha=\"0.08\", expect_size=\"47060992\"] \n  2 -> 3 [size =\"47060992\"]\n  3 [size=\"12519424\", alpha=\"0.03\", expect_size=\"6259712\"] \n  3 -> 4 [size =\"6259712\"]\n  4 [size=\"41926656\", alpha=\"0.08\", expect_size=\"20963328\"] \n  4 -> 5 [size =\"20963328\"]\n  5 [size=\"34691072\", alpha=\"0.08\", expect_size=\"17345536\"] \n  5 -> 6 [size =\"17345536\"]\n  6 [size=\"36134912\", alpha=\"0.19\", expect_size=\"18067456\"] \n  6 -> 7 [size =\"18067456\"]\n  7 [size=\"25315328\", alpha=\"0.03\", expect_size=\"12657664\"] \n  7 -> 8 [size =\"12657664\"]\n  8 [size=\"70617088\", alpha=\"0.14\", expect_size=\"35308544\"] \n  8 -> 9 [size =\"35308544\"]\n  9 [size=\"35444736\", alpha=\"0.18\", expect_size=\"17722368\"] \n  9 -> 10 [size =\"17722368\"]\n  10 [size=\"53823488\", alpha=\"0.10\", expect_size=\"26911744\"] \n  10 -> 11 [size =\"26911744\"]\n  11 [size=\"68179968\", alpha=\"0.06\", expect_size=\"34089984\"] \n  11 -> 12 [size =\"34089984\"]\n  12 [size=\"77629440\", alpha=\"0.15\", expect_size=\"38814720\"] \n  12 -> 13 [size =\"38814720\"]\n  13 [size=\"21909504\", alpha=\"0.06\", expect_size=\"10954752\"] \n  13 -> 14 [size =\"10954752\"]\n  14 [size=\"36603904\", alpha=\"0.15\", expect_size=\"18301952\"] \n  14 -> 15 [size =\"18301952\"]\n  15 [size=\"72560640\", alpha=\"0.11\", expect_size=\"36280320\"] \n  15 -> 16 [size =\"36280320\"]\n  16 [size=\"13901824\", alpha=\"0.15\", expect_size=\"6950912\"] \n  16 -> 17 [size =\"6950912\"]\n  17 [size=\"103354368\", alpha=\"0.07\", expect_size=\"51677184\"] \n  17 -> 18 [size =\"51677184\"]\n  18 [size=\"25460736\", alpha=\"0.06\", expect_size=\"12730368\"] \n  18 -> 19 [size =\"12730368\"]\n  19 [size=\"91983872\", alpha=\"0.01\", expect_size=\"45991936\"] \n  19 -> 20 [size =\"45991936\"]\n  20 [size=\"83988480\", alpha=\"0.18\", expect_size=\"41994240\"] \n  20 -> 21 [size =\"41994240\"]\n  21 [size=\"37742592\", alpha=\"0.05\", expect_size=\"18871296\"] \n  21 -> 22 [size =\"18871296\"]\n  22 [size=\"66940928\", alpha=\"0.10\", expect_size=\"33470464\"] \n  22 -> 23 [size =\"33470464\"]\n  23 [size=\"43370496\", alpha=\"0.16\", expect_size=\"21685248\"] \n  23 -> 24 [size =\"21685248\"]\n  24 [size=\"69588992\", alpha=\"0.08\", expect_size=\"34794496\"] \n  24 -> 25 [size =\"34794496\"]\n  25 [size=\"45090816\", alpha=\"0.05\", expect_size=\"22545408\"] \n  25 -> 26 [size =\"22545408\"]\n  26 [size=\"96190464\", alpha=\"0.08\", expect_size=\"48095232\"] \n  26 -> 27 [size =\"48095232\"]\n  27 [size=\"73615360\", alpha=\"0.14\", expect_size=\"36807680\"] \n  27 -> 28 [size =\"36807680\"]\n  28 [size=\"104519680\", alpha=\"0.12\", expect_size=\"52259840\"] \n  28 -> 29 [size =\"52259840\"]\n  29 [size=\"36573184\", alpha=\"0.16\", expect_size=\"18286592\"] \n  29 -> 30 [size =\"18286592\"]\n  30 [size=\"41605120\", alpha=\"0.09\", expect_size=\"20802560\"] \n  30 -> 31 [size =\"20802560\"]\n  31 [size=\"32268288\", alpha=\"0.14\", expect_size=\"16134144\"] \n  31 -> 32 [size =\"16134144\"]\n  32 [size=\"57288704\", alpha=\"0.14\", expect_size=\"28644352\"] \n  32 -> 33 [size =\"28644352\"]\n  33 [size=\"11558912\", alpha=\"0.16\", expect_size=\"5779456\"] \n  33 -> 34 [size =\"5779456\"]\n  34 [size=\"85860352\", alpha=\"0.03\", expect_size=\"42930176\"] \n  34 -> 35 [size =\"42930176\"]\n  35 [size=\"28518400\", alpha=\"0.04\", expect_size=\"14259200\"] \n  35 -> 36 [size =\"14259200\"]\n  36 [size=\"52484096\", alpha=\"0.05\", expect_size=\"26242048\"] \n  36 -> 37 [size =\"26242048\"]\n  37 [size=\"89034752\", alpha=\"0.06\", expect_size=\"44517376\"] \n  37 -> 38 [size =\"44517376\"]\n  38 [size=\"58632192\", alpha=\"0.10\", expect_size=\"29316096\"] \n  38 -> 39 [size =\"29316096\"]\n  39 [size=\"21407744\", alpha=\"0.12\", expect_size=\"10703872\"] \n  39 -> 40 [size =\"10703872\"]\n  40 [size=\"96692224\", alpha=\"0.09\", expect_size=\"48346112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17020928\", alpha=\"0.14\", expect_size=\"8510464\"] \n  1 -> 6 [size =\"8510464\"]\n  1 -> 8 [size =\"8510464\"]\n  1 -> 9 [size =\"8510464\"]\n  2 [size=\"36220928\", alpha=\"0.05\", expect_size=\"18110464\"] \n  2 -> 8 [size =\"18110464\"]\n  3 [size=\"38182912\", alpha=\"0.09\", expect_size=\"19091456\"] \n  3 -> 8 [size =\"19091456\"]\n  3 -> 9 [size =\"19091456\"]\n  4 [size=\"83671040\", alpha=\"0.15\", expect_size=\"41835520\"] \n  4 -> 7 [size =\"41835520\"]\n  4 -> 9 [size =\"41835520\"]\n  5 [size=\"92667904\", alpha=\"0.15\", expect_size=\"46333952\"] \n  5 -> 6 [size =\"46333952\"]\n  5 -> 9 [size =\"46333952\"]\n  6 [size=\"80365568\", alpha=\"0.08\", expect_size=\"40182784\"] \n  6 -> 11 [size =\"40182784\"]\n  6 -> 13 [size =\"40182784\"]\n  7 [size=\"103897088\", alpha=\"0.01\", expect_size=\"51948544\"] \n  7 -> 10 [size =\"51948544\"]\n  7 -> 12 [size =\"51948544\"]\n  7 -> 14 [size =\"51948544\"]\n  8 [size=\"91211776\", alpha=\"0.06\", expect_size=\"45605888\"] \n  8 -> 12 [size =\"45605888\"]\n  9 [size=\"103479296\", alpha=\"0.17\", expect_size=\"51739648\"] \n  9 -> 12 [size =\"51739648\"]\n  9 -> 13 [size =\"51739648\"]\n  10 [size=\"60876800\", alpha=\"0.17\", expect_size=\"30438400\"] \n  10 -> 18 [size =\"30438400\"]\n  10 -> 20 [size =\"30438400\"]\n  11 [size=\"11339776\", alpha=\"0.19\", expect_size=\"5669888\"] \n  11 -> 18 [size =\"5669888\"]\n  12 [size=\"79742976\", alpha=\"0.13\", expect_size=\"39871488\"] \n  12 -> 15 [size =\"39871488\"]\n  12 -> 16 [size =\"39871488\"]\n  12 -> 19 [size =\"39871488\"]\n  13 [size=\"103008256\", alpha=\"0.04\", expect_size=\"51504128\"] \n  13 -> 16 [size =\"51504128\"]\n  13 -> 19 [size =\"51504128\"]\n  14 [size=\"51320832\", alpha=\"0.08\", expect_size=\"25660416\"] \n  14 -> 16 [size =\"25660416\"]\n  14 -> 17 [size =\"25660416\"]\n  14 -> 18 [size =\"25660416\"]\n  14 -> 19 [size =\"25660416\"]\n  15 [size=\"28854272\", alpha=\"0.19\", expect_size=\"14427136\"] \n  15 -> 21 [size =\"14427136\"]\n  15 -> 22 [size =\"14427136\"]\n  15 -> 25 [size =\"14427136\"]\n  16 [size=\"99485696\", alpha=\"0.19\", expect_size=\"49742848\"] \n  16 -> 22 [size =\"49742848\"]\n  16 -> 26 [size =\"49742848\"]\n  17 [size=\"41230336\", alpha=\"0.04\", expect_size=\"20615168\"] \n  17 -> 22 [size =\"20615168\"]\n  18 [size=\"44994560\", alpha=\"0.19\", expect_size=\"22497280\"] \n  19 [size=\"73052160\", alpha=\"0.18\", expect_size=\"36526080\"] \n  19 -> 22 [size =\"36526080\"]\n  19 -> 24 [size =\"36526080\"]\n  19 -> 25 [size =\"36526080\"]\n  20 [size=\"61241344\", alpha=\"0.08\", expect_size=\"30620672\"] \n  20 -> 22 [size =\"30620672\"]\n  20 -> 23 [size =\"30620672\"]\n  21 [size=\"47423488\", alpha=\"0.19\", expect_size=\"23711744\"] \n  21 -> 28 [size =\"23711744\"]\n  21 -> 29 [size =\"23711744\"]\n  21 -> 30 [size =\"23711744\"]\n  21 -> 32 [size =\"23711744\"]\n  22 [size=\"44433408\", alpha=\"0.16\", expect_size=\"22216704\"] \n  22 -> 27 [size =\"22216704\"]\n  22 -> 28 [size =\"22216704\"]\n  22 -> 30 [size =\"22216704\"]\n  22 -> 32 [size =\"22216704\"]\n  23 [size=\"10934272\", alpha=\"0.18\", expect_size=\"5467136\"] \n  23 -> 28 [size =\"5467136\"]\n  23 -> 30 [size =\"5467136\"]\n  23 -> 31 [size =\"5467136\"]\n  24 [size=\"30228480\", alpha=\"0.16\", expect_size=\"15114240\"] \n  24 -> 28 [size =\"15114240\"]\n  24 -> 29 [size =\"15114240\"]\n  24 -> 31 [size =\"15114240\"]\n  25 [size=\"68745216\", alpha=\"0.11\", expect_size=\"34372608\"] \n  25 -> 31 [size =\"34372608\"]\n  25 -> 32 [size =\"34372608\"]\n  26 [size=\"63694848\", alpha=\"0.01\", expect_size=\"31847424\"] \n  26 -> 27 [size =\"31847424\"]\n  26 -> 31 [size =\"31847424\"]\n  26 -> 32 [size =\"31847424\"]\n  27 [size=\"56940544\", alpha=\"0.11\", expect_size=\"28470272\"] \n  27 -> 36 [size =\"28470272\"]\n  27 -> 39 [size =\"28470272\"]\n  28 [size=\"77058048\", alpha=\"0.18\", expect_size=\"38529024\"] \n  28 -> 35 [size =\"38529024\"]\n  28 -> 37 [size =\"38529024\"]\n  29 [size=\"70887424\", alpha=\"0.05\", expect_size=\"35443712\"] \n  29 -> 33 [size =\"35443712\"]\n  29 -> 34 [size =\"35443712\"]\n  29 -> 35 [size =\"35443712\"]\n  29 -> 38 [size =\"35443712\"]\n  29 -> 39 [size =\"35443712\"]\n  30 [size=\"62345216\", alpha=\"0.02\", expect_size=\"31172608\"] \n  30 -> 35 [size =\"31172608\"]\n  31 [size=\"99567616\", alpha=\"0.00\", expect_size=\"49783808\"] \n  31 -> 39 [size =\"49783808\"]\n  32 [size=\"94713856\", alpha=\"0.12\", expect_size=\"47356928\"] \n  32 -> 33 [size =\"47356928\"]\n  32 -> 35 [size =\"47356928\"]\n  32 -> 39 [size =\"47356928\"]\n  33 [size=\"73523200\", alpha=\"0.04\", expect_size=\"36761600\"] \n  33 -> 40 [size =\"36761600\"]\n  34 [size=\"63692800\", alpha=\"0.05\", expect_size=\"31846400\"] \n  34 -> 40 [size =\"31846400\"]\n  35 [size=\"44036096\", alpha=\"0.09\", expect_size=\"22018048\"] \n  36 [size=\"96735232\", alpha=\"0.13\", expect_size=\"48367616\"] \n  37 [size=\"102930432\", alpha=\"0.02\", expect_size=\"51465216\"] \n  38 [size=\"61659136\", alpha=\"0.20\", expect_size=\"30829568\"] \n  39 [size=\"53651456\", alpha=\"0.10\", expect_size=\"26825728\"] \n  40 [size=\"77527040\", alpha=\"0.11\", expect_size=\"38763520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43700224\", alpha=\"0.18\", expect_size=\"21850112\"] \n  1 -> 34 [size =\"21850112\"]\n  2 [size=\"99534848\", alpha=\"0.01\", expect_size=\"49767424\"] \n  2 -> 31 [size =\"49767424\"]\n  2 -> 34 [size =\"49767424\"]\n  2 -> 37 [size =\"49767424\"]\n  3 [size=\"26595328\", alpha=\"0.05\", expect_size=\"13297664\"] \n  3 -> 31 [size =\"13297664\"]\n  3 -> 34 [size =\"13297664\"]\n  3 -> 35 [size =\"13297664\"]\n  3 -> 38 [size =\"13297664\"]\n  3 -> 39 [size =\"13297664\"]\n  4 [size=\"65716224\", alpha=\"0.07\", expect_size=\"32858112\"] \n  4 -> 30 [size =\"32858112\"]\n  4 -> 31 [size =\"32858112\"]\n  4 -> 34 [size =\"32858112\"]\n  4 -> 39 [size =\"32858112\"]\n  5 [size=\"82532352\", alpha=\"0.16\", expect_size=\"41266176\"] \n  5 -> 29 [size =\"41266176\"]\n  5 -> 30 [size =\"41266176\"]\n  5 -> 32 [size =\"41266176\"]\n  5 -> 33 [size =\"41266176\"]\n  5 -> 34 [size =\"41266176\"]\n  6 [size=\"37705728\", alpha=\"0.11\", expect_size=\"18852864\"] \n  6 -> 27 [size =\"18852864\"]\n  6 -> 29 [size =\"18852864\"]\n  6 -> 37 [size =\"18852864\"]\n  7 [size=\"104589312\", alpha=\"0.03\", expect_size=\"52294656\"] \n  7 -> 33 [size =\"52294656\"]\n  7 -> 35 [size =\"52294656\"]\n  8 [size=\"53995520\", alpha=\"0.06\", expect_size=\"26997760\"] \n  9 [size=\"93894656\", alpha=\"0.04\", expect_size=\"46947328\"] \n  9 -> 27 [size =\"46947328\"]\n  9 -> 34 [size =\"46947328\"]\n  9 -> 40 [size =\"46947328\"]\n  10 [size=\"100421632\", alpha=\"0.13\", expect_size=\"50210816\"] \n  10 -> 27 [size =\"50210816\"]\n  10 -> 30 [size =\"50210816\"]\n  10 -> 38 [size =\"50210816\"]\n  11 [size=\"48586752\", alpha=\"0.18\", expect_size=\"24293376\"] \n  11 -> 27 [size =\"24293376\"]\n  11 -> 40 [size =\"24293376\"]\n  12 [size=\"40114176\", alpha=\"0.01\", expect_size=\"20057088\"] \n  12 -> 27 [size =\"20057088\"]\n  12 -> 40 [size =\"20057088\"]\n  13 [size=\"45545472\", alpha=\"0.07\", expect_size=\"22772736\"] \n  13 -> 30 [size =\"22772736\"]\n  13 -> 39 [size =\"22772736\"]\n  14 [size=\"67698688\", alpha=\"0.16\", expect_size=\"33849344\"] \n  14 -> 27 [size =\"33849344\"]\n  14 -> 40 [size =\"33849344\"]\n  15 [size=\"99723264\", alpha=\"0.06\", expect_size=\"49861632\"] \n  15 -> 27 [size =\"49861632\"]\n  15 -> 40 [size =\"49861632\"]\n  16 [size=\"81102848\", alpha=\"0.07\", expect_size=\"40551424\"] \n  16 -> 36 [size =\"40551424\"]\n  16 -> 39 [size =\"40551424\"]\n  17 [size=\"40554496\", alpha=\"0.20\", expect_size=\"20277248\"] \n  17 -> 29 [size =\"20277248\"]\n  17 -> 34 [size =\"20277248\"]\n  17 -> 40 [size =\"20277248\"]\n  18 [size=\"53366784\", alpha=\"0.08\", expect_size=\"26683392\"] \n  18 -> 27 [size =\"26683392\"]\n  18 -> 40 [size =\"26683392\"]\n  19 [size=\"83505152\", alpha=\"0.01\", expect_size=\"41752576\"] \n  19 -> 27 [size =\"41752576\"]\n  19 -> 30 [size =\"41752576\"]\n  19 -> 31 [size =\"41752576\"]\n  20 [size=\"102246400\", alpha=\"0.09\", expect_size=\"51123200\"] \n  21 [size=\"70852608\", alpha=\"0.05\", expect_size=\"35426304\"] \n  21 -> 30 [size =\"35426304\"]\n  21 -> 36 [size =\"35426304\"]\n  22 [size=\"59389952\", alpha=\"0.19\", expect_size=\"29694976\"] \n  22 -> 27 [size =\"29694976\"]\n  22 -> 29 [size =\"29694976\"]\n  22 -> 36 [size =\"29694976\"]\n  22 -> 39 [size =\"29694976\"]\n  23 [size=\"66127872\", alpha=\"0.17\", expect_size=\"33063936\"] \n  23 -> 34 [size =\"33063936\"]\n  23 -> 37 [size =\"33063936\"]\n  23 -> 40 [size =\"33063936\"]\n  24 [size=\"98775040\", alpha=\"0.06\", expect_size=\"49387520\"] \n  24 -> 28 [size =\"49387520\"]\n  24 -> 31 [size =\"49387520\"]\n  24 -> 40 [size =\"49387520\"]\n  25 [size=\"81197056\", alpha=\"0.11\", expect_size=\"40598528\"] \n  25 -> 30 [size =\"40598528\"]\n  25 -> 31 [size =\"40598528\"]\n  25 -> 34 [size =\"40598528\"]\n  25 -> 40 [size =\"40598528\"]\n  26 [size=\"13109248\", alpha=\"0.01\", expect_size=\"6554624\"] \n  26 -> 30 [size =\"6554624\"]\n  26 -> 37 [size =\"6554624\"]\n  26 -> 40 [size =\"6554624\"]\n  26 -> 40 [size =\"6554624\"]\n  27 [size=\"46331904\", alpha=\"0.12\", expect_size=\"23165952\"] \n  28 [size=\"44339200\", alpha=\"0.11\", expect_size=\"22169600\"] \n  29 [size=\"81723392\", alpha=\"0.09\", expect_size=\"40861696\"] \n  30 [size=\"85800960\", alpha=\"0.05\", expect_size=\"42900480\"] \n  31 [size=\"35061760\", alpha=\"0.09\", expect_size=\"17530880\"] \n  32 [size=\"57092096\", alpha=\"0.00\", expect_size=\"28546048\"] \n  33 [size=\"52197376\", alpha=\"0.18\", expect_size=\"26098688\"] \n  34 [size=\"36491264\", alpha=\"0.08\", expect_size=\"18245632\"] \n  35 [size=\"65202176\", alpha=\"0.18\", expect_size=\"32601088\"] \n  36 [size=\"21639168\", alpha=\"0.02\", expect_size=\"10819584\"] \n  37 [size=\"27387904\", alpha=\"0.12\", expect_size=\"13693952\"] \n  38 [size=\"82188288\", alpha=\"0.12\", expect_size=\"41094144\"] \n  39 [size=\"40802304\", alpha=\"0.07\", expect_size=\"20401152\"] \n  40 [size=\"81012736\", alpha=\"0.01\", expect_size=\"40506368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109335040\", alpha=\"0.08\", expect_size=\"43734016\"] \n  1 -> 4 [size =\"43734016\"]\n  1 -> 5 [size =\"43734016\"]\n  2 [size=\"88616960\", alpha=\"0.01\", expect_size=\"35446784\"] \n  2 -> 5 [size =\"35446784\"]\n  3 [size=\"95779840\", alpha=\"0.06\", expect_size=\"38311936\"] \n  4 [size=\"48506880\", alpha=\"0.08\", expect_size=\"19402752\"] \n  4 -> 7 [size =\"19402752\"]\n  4 -> 8 [size =\"19402752\"]\n  5 [size=\"81108480\", alpha=\"0.01\", expect_size=\"32443392\"] \n  5 -> 6 [size =\"32443392\"]\n  6 [size=\"113643520\", alpha=\"0.08\", expect_size=\"45457408\"] \n  6 -> 9 [size =\"45457408\"]\n  6 -> 10 [size =\"45457408\"]\n  7 [size=\"28364800\", alpha=\"0.07\", expect_size=\"11345920\"] \n  7 -> 9 [size =\"11345920\"]\n  8 [size=\"45619200\", alpha=\"0.16\", expect_size=\"18247680\"] \n  8 -> 10 [size =\"18247680\"]\n  9 [size=\"75381760\", alpha=\"0.11\", expect_size=\"30152704\"] \n  9 -> 11 [size =\"30152704\"]\n  10 [size=\"127459840\", alpha=\"0.19\", expect_size=\"50983936\"] \n  10 -> 12 [size =\"50983936\"]\n  11 [size=\"28904960\", alpha=\"0.18\", expect_size=\"11561984\"] \n  11 -> 13 [size =\"11561984\"]\n  11 -> 14 [size =\"11561984\"]\n  12 [size=\"75238400\", alpha=\"0.13\", expect_size=\"30095360\"] \n  12 -> 13 [size =\"30095360\"]\n  13 [size=\"80005120\", alpha=\"0.10\", expect_size=\"32002048\"] \n  13 -> 15 [size =\"32002048\"]\n  13 -> 16 [size =\"32002048\"]\n  13 -> 17 [size =\"32002048\"]\n  14 [size=\"112727040\", alpha=\"0.01\", expect_size=\"45090816\"] \n  14 -> 16 [size =\"45090816\"]\n  14 -> 17 [size =\"45090816\"]\n  15 [size=\"40010240\", alpha=\"0.14\", expect_size=\"16004096\"] \n  15 -> 18 [size =\"16004096\"]\n  15 -> 19 [size =\"16004096\"]\n  16 [size=\"48240640\", alpha=\"0.07\", expect_size=\"19296256\"] \n  17 [size=\"98032640\", alpha=\"0.07\", expect_size=\"39213056\"] \n  18 [size=\"19957760\", alpha=\"0.02\", expect_size=\"7983104\"] \n  18 -> 20 [size =\"7983104\"]\n  19 [size=\"112384000\", alpha=\"0.06\", expect_size=\"44953600\"] \n  19 -> 21 [size =\"44953600\"]\n  19 -> 22 [size =\"44953600\"]\n  20 [size=\"59975680\", alpha=\"0.05\", expect_size=\"23990272\"] \n  21 [size=\"53130240\", alpha=\"0.20\", expect_size=\"21252096\"] \n  22 [size=\"41879040\", alpha=\"0.08\", expect_size=\"16751616\"] \n  22 -> 23 [size =\"16751616\"]\n  22 -> 24 [size =\"16751616\"]\n  23 [size=\"117742080\", alpha=\"0.09\", expect_size=\"47096832\"] \n  23 -> 26 [size =\"47096832\"]\n  24 [size=\"61496320\", alpha=\"0.17\", expect_size=\"24598528\"] \n  24 -> 25 [size =\"24598528\"]\n  25 [size=\"69209600\", alpha=\"0.17\", expect_size=\"27683840\"] \n  25 -> 28 [size =\"27683840\"]\n  26 [size=\"36303360\", alpha=\"0.13\", expect_size=\"14521344\"] \n  26 -> 27 [size =\"14521344\"]\n  26 -> 28 [size =\"14521344\"]\n  27 [size=\"75724800\", alpha=\"0.12\", expect_size=\"30289920\"] \n  27 -> 29 [size =\"30289920\"]\n  27 -> 31 [size =\"30289920\"]\n  28 [size=\"114961920\", alpha=\"0.16\", expect_size=\"45984768\"] \n  28 -> 30 [size =\"45984768\"]\n  28 -> 31 [size =\"45984768\"]\n  29 [size=\"128245760\", alpha=\"0.11\", expect_size=\"51298304\"] \n  30 [size=\"45821440\", alpha=\"0.06\", expect_size=\"18328576\"] \n  31 [size=\"73640960\", alpha=\"0.03\", expect_size=\"29456384\"] \n  31 -> 32 [size =\"29456384\"]\n  31 -> 33 [size =\"29456384\"]\n  32 [size=\"72002560\", alpha=\"0.11\", expect_size=\"28801024\"] \n  32 -> 34 [size =\"28801024\"]\n  32 -> 35 [size =\"28801024\"]\n  32 -> 36 [size =\"28801024\"]\n  33 [size=\"116421120\", alpha=\"0.10\", expect_size=\"46568448\"] \n  33 -> 34 [size =\"46568448\"]\n  34 [size=\"53637120\", alpha=\"0.06\", expect_size=\"21454848\"] \n  34 -> 37 [size =\"21454848\"]\n  35 [size=\"37020160\", alpha=\"0.06\", expect_size=\"14808064\"] \n  36 [size=\"16606720\", alpha=\"0.12\", expect_size=\"6642688\"] \n  36 -> 38 [size =\"6642688\"]\n  37 [size=\"92935680\", alpha=\"0.13\", expect_size=\"37174272\"] \n  37 -> 39 [size =\"37174272\"]\n  37 -> 40 [size =\"37174272\"]\n  38 [size=\"45332480\", alpha=\"0.15\", expect_size=\"18132992\"] \n  38 -> 39 [size =\"18132992\"]\n  38 -> 40 [size =\"18132992\"]\n  39 [size=\"24281600\", alpha=\"0.14\", expect_size=\"9712640\"] \n  40 [size=\"92052480\", alpha=\"0.01\", expect_size=\"36820992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67975168\", alpha=\"0.05\", expect_size=\"33987584\"] \n  1 -> 7 [size =\"33987584\"]\n  1 -> 8 [size =\"33987584\"]\n  1 -> 9 [size =\"33987584\"]\n  1 -> 11 [size =\"33987584\"]\n  2 [size=\"64122880\", alpha=\"0.05\", expect_size=\"32061440\"] \n  2 -> 7 [size =\"32061440\"]\n  2 -> 8 [size =\"32061440\"]\n  2 -> 9 [size =\"32061440\"]\n  2 -> 10 [size =\"32061440\"]\n  2 -> 11 [size =\"32061440\"]\n  3 [size=\"38602752\", alpha=\"0.07\", expect_size=\"19301376\"] \n  4 [size=\"42606592\", alpha=\"0.06\", expect_size=\"21303296\"] \n  4 -> 6 [size =\"21303296\"]\n  4 -> 7 [size =\"21303296\"]\n  4 -> 8 [size =\"21303296\"]\n  4 -> 9 [size =\"21303296\"]\n  5 [size=\"42283008\", alpha=\"0.19\", expect_size=\"21141504\"] \n  5 -> 7 [size =\"21141504\"]\n  5 -> 9 [size =\"21141504\"]\n  5 -> 11 [size =\"21141504\"]\n  6 [size=\"41422848\", alpha=\"0.04\", expect_size=\"20711424\"] \n  6 -> 12 [size =\"20711424\"]\n  6 -> 16 [size =\"20711424\"]\n  7 [size=\"50137088\", alpha=\"0.04\", expect_size=\"25068544\"] \n  7 -> 12 [size =\"25068544\"]\n  7 -> 13 [size =\"25068544\"]\n  7 -> 14 [size =\"25068544\"]\n  7 -> 15 [size =\"25068544\"]\n  7 -> 17 [size =\"25068544\"]\n  8 [size=\"92860416\", alpha=\"0.16\", expect_size=\"46430208\"] \n  8 -> 12 [size =\"46430208\"]\n  8 -> 13 [size =\"46430208\"]\n  8 -> 14 [size =\"46430208\"]\n  9 [size=\"51410944\", alpha=\"0.19\", expect_size=\"25705472\"] \n  9 -> 12 [size =\"25705472\"]\n  9 -> 13 [size =\"25705472\"]\n  9 -> 14 [size =\"25705472\"]\n  9 -> 16 [size =\"25705472\"]\n  9 -> 17 [size =\"25705472\"]\n  10 [size=\"82065408\", alpha=\"0.04\", expect_size=\"41032704\"] \n  10 -> 13 [size =\"41032704\"]\n  10 -> 14 [size =\"41032704\"]\n  10 -> 15 [size =\"41032704\"]\n  10 -> 16 [size =\"41032704\"]\n  11 [size=\"24516608\", alpha=\"0.19\", expect_size=\"12258304\"] \n  11 -> 15 [size =\"12258304\"]\n  11 -> 16 [size =\"12258304\"]\n  12 [size=\"46215168\", alpha=\"0.10\", expect_size=\"23107584\"] \n  12 -> 18 [size =\"23107584\"]\n  12 -> 19 [size =\"23107584\"]\n  12 -> 22 [size =\"23107584\"]\n  13 [size=\"67577856\", alpha=\"0.00\", expect_size=\"33788928\"] \n  13 -> 18 [size =\"33788928\"]\n  13 -> 19 [size =\"33788928\"]\n  13 -> 21 [size =\"33788928\"]\n  14 [size=\"99784704\", alpha=\"0.14\", expect_size=\"49892352\"] \n  14 -> 19 [size =\"49892352\"]\n  14 -> 20 [size =\"49892352\"]\n  14 -> 21 [size =\"49892352\"]\n  15 [size=\"31979520\", alpha=\"0.13\", expect_size=\"15989760\"] \n  15 -> 20 [size =\"15989760\"]\n  15 -> 21 [size =\"15989760\"]\n  16 [size=\"26249216\", alpha=\"0.08\", expect_size=\"13124608\"] \n  17 [size=\"46561280\", alpha=\"0.19\", expect_size=\"23280640\"] \n  17 -> 18 [size =\"23280640\"]\n  17 -> 20 [size =\"23280640\"]\n  18 [size=\"65337344\", alpha=\"0.18\", expect_size=\"32668672\"] \n  18 -> 24 [size =\"32668672\"]\n  18 -> 25 [size =\"32668672\"]\n  19 [size=\"46442496\", alpha=\"0.07\", expect_size=\"23221248\"] \n  19 -> 23 [size =\"23221248\"]\n  19 -> 25 [size =\"23221248\"]\n  20 [size=\"41103360\", alpha=\"0.08\", expect_size=\"20551680\"] \n  21 [size=\"57876480\", alpha=\"0.02\", expect_size=\"28938240\"] \n  21 -> 23 [size =\"28938240\"]\n  21 -> 24 [size =\"28938240\"]\n  22 [size=\"52805632\", alpha=\"0.07\", expect_size=\"26402816\"] \n  22 -> 23 [size =\"26402816\"]\n  23 [size=\"98836480\", alpha=\"0.18\", expect_size=\"49418240\"] \n  23 -> 27 [size =\"49418240\"]\n  23 -> 28 [size =\"49418240\"]\n  23 -> 28 [size =\"49418240\"]\n  23 -> 29 [size =\"49418240\"]\n  24 [size=\"99862528\", alpha=\"0.16\", expect_size=\"49931264\"] \n  24 -> 26 [size =\"49931264\"]\n  25 [size=\"73568256\", alpha=\"0.01\", expect_size=\"36784128\"] \n  25 -> 26 [size =\"36784128\"]\n  25 -> 27 [size =\"36784128\"]\n  25 -> 28 [size =\"36784128\"]\n  26 [size=\"41459712\", alpha=\"0.12\", expect_size=\"20729856\"] \n  26 -> 31 [size =\"20729856\"]\n  26 -> 35 [size =\"20729856\"]\n  27 [size=\"77883392\", alpha=\"0.12\", expect_size=\"38941696\"] \n  27 -> 30 [size =\"38941696\"]\n  27 -> 32 [size =\"38941696\"]\n  27 -> 33 [size =\"38941696\"]\n  28 [size=\"72433664\", alpha=\"0.09\", expect_size=\"36216832\"] \n  28 -> 30 [size =\"36216832\"]\n  28 -> 32 [size =\"36216832\"]\n  29 [size=\"62834688\", alpha=\"0.14\", expect_size=\"31417344\"] \n  29 -> 30 [size =\"31417344\"]\n  29 -> 31 [size =\"31417344\"]\n  29 -> 33 [size =\"31417344\"]\n  29 -> 34 [size =\"31417344\"]\n  29 -> 35 [size =\"31417344\"]\n  30 [size=\"95199232\", alpha=\"0.15\", expect_size=\"47599616\"] \n  30 -> 36 [size =\"47599616\"]\n  31 [size=\"40570880\", alpha=\"0.19\", expect_size=\"20285440\"] \n  31 -> 38 [size =\"20285440\"]\n  31 -> 39 [size =\"20285440\"]\n  32 [size=\"50806784\", alpha=\"0.11\", expect_size=\"25403392\"] \n  33 [size=\"85178368\", alpha=\"0.14\", expect_size=\"42589184\"] \n  33 -> 36 [size =\"42589184\"]\n  34 [size=\"77428736\", alpha=\"0.17\", expect_size=\"38714368\"] \n  34 -> 36 [size =\"38714368\"]\n  34 -> 37 [size =\"38714368\"]\n  35 [size=\"59684864\", alpha=\"0.04\", expect_size=\"29842432\"] \n  35 -> 37 [size =\"29842432\"]\n  35 -> 37 [size =\"29842432\"]\n  36 [size=\"63739904\", alpha=\"0.14\", expect_size=\"31869952\"] \n  37 [size=\"26163200\", alpha=\"0.12\", expect_size=\"13081600\"] \n  37 -> 40 [size =\"13081600\"]\n  38 [size=\"80977920\", alpha=\"0.01\", expect_size=\"40488960\"] \n  39 [size=\"27445248\", alpha=\"0.19\", expect_size=\"13722624\"] \n  39 -> 40 [size =\"13722624\"]\n  40 [size=\"95236096\", alpha=\"0.02\", expect_size=\"47618048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47476736\", alpha=\"0.05\", expect_size=\"23738368\"] \n  1 -> 5 [size =\"23738368\"]\n  1 -> 6 [size =\"23738368\"]\n  1 -> 7 [size =\"23738368\"]\n  2 [size=\"61552640\", alpha=\"0.09\", expect_size=\"30776320\"] \n  2 -> 4 [size =\"30776320\"]\n  2 -> 5 [size =\"30776320\"]\n  2 -> 6 [size =\"30776320\"]\n  3 [size=\"43763712\", alpha=\"0.16\", expect_size=\"21881856\"] \n  3 -> 4 [size =\"21881856\"]\n  3 -> 7 [size =\"21881856\"]\n  4 [size=\"28936192\", alpha=\"0.07\", expect_size=\"14468096\"] \n  4 -> 9 [size =\"14468096\"]\n  5 [size=\"34504704\", alpha=\"0.02\", expect_size=\"17252352\"] \n  5 -> 8 [size =\"17252352\"]\n  5 -> 10 [size =\"17252352\"]\n  6 [size=\"92971008\", alpha=\"0.16\", expect_size=\"46485504\"] \n  6 -> 9 [size =\"46485504\"]\n  6 -> 10 [size =\"46485504\"]\n  7 [size=\"58298368\", alpha=\"0.11\", expect_size=\"29149184\"] \n  7 -> 9 [size =\"29149184\"]\n  7 -> 10 [size =\"29149184\"]\n  8 [size=\"92276736\", alpha=\"0.11\", expect_size=\"46138368\"] \n  8 -> 11 [size =\"46138368\"]\n  8 -> 13 [size =\"46138368\"]\n  9 [size=\"24711168\", alpha=\"0.03\", expect_size=\"12355584\"] \n  9 -> 11 [size =\"12355584\"]\n  9 -> 12 [size =\"12355584\"]\n  10 [size=\"60354560\", alpha=\"0.17\", expect_size=\"30177280\"] \n  10 -> 12 [size =\"30177280\"]\n  11 [size=\"81614848\", alpha=\"0.04\", expect_size=\"40807424\"] \n  11 -> 14 [size =\"40807424\"]\n  11 -> 16 [size =\"40807424\"]\n  12 [size=\"103942144\", alpha=\"0.13\", expect_size=\"51971072\"] \n  13 [size=\"52713472\", alpha=\"0.07\", expect_size=\"26356736\"] \n  13 -> 15 [size =\"26356736\"]\n  13 -> 16 [size =\"26356736\"]\n  14 [size=\"33941504\", alpha=\"0.20\", expect_size=\"16970752\"] \n  15 [size=\"64882688\", alpha=\"0.07\", expect_size=\"32441344\"] \n  15 -> 17 [size =\"32441344\"]\n  15 -> 18 [size =\"32441344\"]\n  16 [size=\"76648448\", alpha=\"0.12\", expect_size=\"38324224\"] \n  16 -> 19 [size =\"38324224\"]\n  17 [size=\"57225216\", alpha=\"0.08\", expect_size=\"28612608\"] \n  17 -> 21 [size =\"28612608\"]\n  18 [size=\"16138240\", alpha=\"0.10\", expect_size=\"8069120\"] \n  18 -> 20 [size =\"8069120\"]\n  18 -> 21 [size =\"8069120\"]\n  19 [size=\"69971968\", alpha=\"0.18\", expect_size=\"34985984\"] \n  20 [size=\"82188288\", alpha=\"0.19\", expect_size=\"41094144\"] \n  20 -> 22 [size =\"41094144\"]\n  20 -> 23 [size =\"41094144\"]\n  21 [size=\"67575808\", alpha=\"0.08\", expect_size=\"33787904\"] \n  21 -> 23 [size =\"33787904\"]\n  22 [size=\"88528896\", alpha=\"0.07\", expect_size=\"44264448\"] \n  22 -> 24 [size =\"44264448\"]\n  23 [size=\"56104960\", alpha=\"0.14\", expect_size=\"28052480\"] \n  23 -> 24 [size =\"28052480\"]\n  24 [size=\"88885248\", alpha=\"0.05\", expect_size=\"44442624\"] \n  24 -> 25 [size =\"44442624\"]\n  24 -> 26 [size =\"44442624\"]\n  25 [size=\"88227840\", alpha=\"0.01\", expect_size=\"44113920\"] \n  25 -> 27 [size =\"44113920\"]\n  25 -> 28 [size =\"44113920\"]\n  26 [size=\"25217024\", alpha=\"0.14\", expect_size=\"12608512\"] \n  26 -> 27 [size =\"12608512\"]\n  26 -> 28 [size =\"12608512\"]\n  27 [size=\"81905664\", alpha=\"0.17\", expect_size=\"40952832\"] \n  27 -> 29 [size =\"40952832\"]\n  27 -> 30 [size =\"40952832\"]\n  27 -> 31 [size =\"40952832\"]\n  28 [size=\"23703552\", alpha=\"0.18\", expect_size=\"11851776\"] \n  28 -> 30 [size =\"11851776\"]\n  28 -> 31 [size =\"11851776\"]\n  29 [size=\"70252544\", alpha=\"0.01\", expect_size=\"35126272\"] \n  29 -> 33 [size =\"35126272\"]\n  30 [size=\"60289024\", alpha=\"0.16\", expect_size=\"30144512\"] \n  30 -> 32 [size =\"30144512\"]\n  31 [size=\"55113728\", alpha=\"0.05\", expect_size=\"27556864\"] \n  31 -> 32 [size =\"27556864\"]\n  32 [size=\"91723776\", alpha=\"0.14\", expect_size=\"45861888\"] \n  32 -> 34 [size =\"45861888\"]\n  32 -> 35 [size =\"45861888\"]\n  33 [size=\"32436224\", alpha=\"0.12\", expect_size=\"16218112\"] \n  33 -> 34 [size =\"16218112\"]\n  33 -> 36 [size =\"16218112\"]\n  34 [size=\"99276800\", alpha=\"0.15\", expect_size=\"49638400\"] \n  34 -> 37 [size =\"49638400\"]\n  34 -> 38 [size =\"49638400\"]\n  34 -> 39 [size =\"49638400\"]\n  35 [size=\"27580416\", alpha=\"0.10\", expect_size=\"13790208\"] \n  35 -> 39 [size =\"13790208\"]\n  36 [size=\"30111744\", alpha=\"0.19\", expect_size=\"15055872\"] \n  37 [size=\"94984192\", alpha=\"0.17\", expect_size=\"47492096\"] \n  38 [size=\"81270784\", alpha=\"0.17\", expect_size=\"40635392\"] \n  38 -> 40 [size =\"40635392\"]\n  39 [size=\"70760448\", alpha=\"0.09\", expect_size=\"35380224\"] \n  39 -> 40 [size =\"35380224\"]\n  40 [size=\"77684736\", alpha=\"0.17\", expect_size=\"38842368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50427904\", alpha=\"0.16\", expect_size=\"25213952\"] \n  1 -> 7 [size =\"25213952\"]\n  1 -> 8 [size =\"25213952\"]\n  2 [size=\"14848000\", alpha=\"0.06\", expect_size=\"7424000\"] \n  2 -> 9 [size =\"7424000\"]\n  2 -> 10 [size =\"7424000\"]\n  3 [size=\"28672000\", alpha=\"0.19\", expect_size=\"14336000\"] \n  3 -> 10 [size =\"14336000\"]\n  4 [size=\"73977856\", alpha=\"0.11\", expect_size=\"36988928\"] \n  4 -> 6 [size =\"36988928\"]\n  5 [size=\"25182208\", alpha=\"0.19\", expect_size=\"12591104\"] \n  6 [size=\"39745536\", alpha=\"0.13\", expect_size=\"19872768\"] \n  6 -> 12 [size =\"19872768\"]\n  6 -> 13 [size =\"19872768\"]\n  6 -> 14 [size =\"19872768\"]\n  7 [size=\"37150720\", alpha=\"0.01\", expect_size=\"18575360\"] \n  7 -> 11 [size =\"18575360\"]\n  8 [size=\"37912576\", alpha=\"0.05\", expect_size=\"18956288\"] \n  8 -> 12 [size =\"18956288\"]\n  8 -> 15 [size =\"18956288\"]\n  9 [size=\"54054912\", alpha=\"0.17\", expect_size=\"27027456\"] \n  10 [size=\"37029888\", alpha=\"0.06\", expect_size=\"18514944\"] \n  10 -> 11 [size =\"18514944\"]\n  10 -> 12 [size =\"18514944\"]\n  11 [size=\"57456640\", alpha=\"0.16\", expect_size=\"28728320\"] \n  11 -> 16 [size =\"28728320\"]\n  12 [size=\"40876032\", alpha=\"0.18\", expect_size=\"20438016\"] \n  12 -> 17 [size =\"20438016\"]\n  12 -> 19 [size =\"20438016\"]\n  12 -> 21 [size =\"20438016\"]\n  13 [size=\"70172672\", alpha=\"0.00\", expect_size=\"35086336\"] \n  13 -> 18 [size =\"35086336\"]\n  13 -> 20 [size =\"35086336\"]\n  13 -> 21 [size =\"35086336\"]\n  14 [size=\"64819200\", alpha=\"0.06\", expect_size=\"32409600\"] \n  14 -> 18 [size =\"32409600\"]\n  14 -> 21 [size =\"32409600\"]\n  15 [size=\"20860928\", alpha=\"0.04\", expect_size=\"10430464\"] \n  16 [size=\"18003968\", alpha=\"0.04\", expect_size=\"9001984\"] \n  16 -> 23 [size =\"9001984\"]\n  16 -> 27 [size =\"9001984\"]\n  17 [size=\"78714880\", alpha=\"0.12\", expect_size=\"39357440\"] \n  17 -> 24 [size =\"39357440\"]\n  18 [size=\"82796544\", alpha=\"0.02\", expect_size=\"41398272\"] \n  18 -> 24 [size =\"41398272\"]\n  18 -> 27 [size =\"41398272\"]\n  19 [size=\"10993664\", alpha=\"0.13\", expect_size=\"5496832\"] \n  19 -> 22 [size =\"5496832\"]\n  19 -> 24 [size =\"5496832\"]\n  19 -> 26 [size =\"5496832\"]\n  20 [size=\"89634816\", alpha=\"0.02\", expect_size=\"44817408\"] \n  20 -> 24 [size =\"44817408\"]\n  20 -> 27 [size =\"44817408\"]\n  21 [size=\"21467136\", alpha=\"0.00\", expect_size=\"10733568\"] \n  21 -> 22 [size =\"10733568\"]\n  21 -> 23 [size =\"10733568\"]\n  21 -> 25 [size =\"10733568\"]\n  21 -> 27 [size =\"10733568\"]\n  22 [size=\"98566144\", alpha=\"0.20\", expect_size=\"49283072\"] \n  22 -> 31 [size =\"49283072\"]\n  23 [size=\"89110528\", alpha=\"0.03\", expect_size=\"44555264\"] \n  23 -> 28 [size =\"44555264\"]\n  23 -> 33 [size =\"44555264\"]\n  24 [size=\"89600000\", alpha=\"0.19\", expect_size=\"44800000\"] \n  24 -> 30 [size =\"44800000\"]\n  25 [size=\"25683968\", alpha=\"0.19\", expect_size=\"12841984\"] \n  25 -> 28 [size =\"12841984\"]\n  25 -> 29 [size =\"12841984\"]\n  25 -> 31 [size =\"12841984\"]\n  25 -> 32 [size =\"12841984\"]\n  26 [size=\"43984896\", alpha=\"0.04\", expect_size=\"21992448\"] \n  26 -> 29 [size =\"21992448\"]\n  27 [size=\"61472768\", alpha=\"0.16\", expect_size=\"30736384\"] \n  27 -> 28 [size =\"30736384\"]\n  27 -> 31 [size =\"30736384\"]\n  27 -> 33 [size =\"30736384\"]\n  28 [size=\"23848960\", alpha=\"0.13\", expect_size=\"11924480\"] \n  28 -> 38 [size =\"11924480\"]\n  29 [size=\"31016960\", alpha=\"0.19\", expect_size=\"15508480\"] \n  29 -> 34 [size =\"15508480\"]\n  29 -> 37 [size =\"15508480\"]\n  29 -> 38 [size =\"15508480\"]\n  30 [size=\"90322944\", alpha=\"0.11\", expect_size=\"45161472\"] \n  30 -> 34 [size =\"45161472\"]\n  30 -> 35 [size =\"45161472\"]\n  30 -> 37 [size =\"45161472\"]\n  30 -> 38 [size =\"45161472\"]\n  31 [size=\"101120000\", alpha=\"0.13\", expect_size=\"50560000\"] \n  31 -> 34 [size =\"50560000\"]\n  31 -> 36 [size =\"50560000\"]\n  31 -> 37 [size =\"50560000\"]\n  31 -> 38 [size =\"50560000\"]\n  32 [size=\"103354368\", alpha=\"0.02\", expect_size=\"51677184\"] \n  32 -> 34 [size =\"51677184\"]\n  32 -> 36 [size =\"51677184\"]\n  33 [size=\"101384192\", alpha=\"0.03\", expect_size=\"50692096\"] \n  33 -> 35 [size =\"50692096\"]\n  34 [size=\"19030016\", alpha=\"0.16\", expect_size=\"9515008\"] \n  35 [size=\"14157824\", alpha=\"0.10\", expect_size=\"7078912\"] \n  36 [size=\"101462016\", alpha=\"0.07\", expect_size=\"50731008\"] \n  36 -> 40 [size =\"50731008\"]\n  37 [size=\"27088896\", alpha=\"0.18\", expect_size=\"13544448\"] \n  37 -> 39 [size =\"13544448\"]\n  37 -> 40 [size =\"13544448\"]\n  38 [size=\"100818944\", alpha=\"0.04\", expect_size=\"50409472\"] \n  39 [size=\"66967552\", alpha=\"0.10\", expect_size=\"33483776\"] \n  40 [size=\"63477760\", alpha=\"0.13\", expect_size=\"31738880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101153280\", alpha=\"0.14\", expect_size=\"40461312\"] \n  1 -> 2 [size =\"40461312\"]\n  2 [size=\"87700480\", alpha=\"0.07\", expect_size=\"35080192\"] \n  2 -> 3 [size =\"35080192\"]\n  3 [size=\"90744320\", alpha=\"0.02\", expect_size=\"36297728\"] \n  3 -> 4 [size =\"36297728\"]\n  4 [size=\"115051520\", alpha=\"0.08\", expect_size=\"46020608\"] \n  4 -> 5 [size =\"46020608\"]\n  5 [size=\"54064640\", alpha=\"0.19\", expect_size=\"21625856\"] \n  5 -> 6 [size =\"21625856\"]\n  6 [size=\"48803840\", alpha=\"0.03\", expect_size=\"19521536\"] \n  6 -> 7 [size =\"19521536\"]\n  7 [size=\"85818880\", alpha=\"0.12\", expect_size=\"34327552\"] \n  7 -> 8 [size =\"34327552\"]\n  8 [size=\"111275520\", alpha=\"0.10\", expect_size=\"44510208\"] \n  8 -> 9 [size =\"44510208\"]\n  9 [size=\"40698880\", alpha=\"0.13\", expect_size=\"16279552\"] \n  9 -> 10 [size =\"16279552\"]\n  10 [size=\"14778880\", alpha=\"0.01\", expect_size=\"5911552\"] \n  10 -> 11 [size =\"5911552\"]\n  11 [size=\"52357120\", alpha=\"0.16\", expect_size=\"20942848\"] \n  11 -> 12 [size =\"20942848\"]\n  12 [size=\"16181760\", alpha=\"0.10\", expect_size=\"6472704\"] \n  12 -> 13 [size =\"6472704\"]\n  13 [size=\"60395520\", alpha=\"0.19\", expect_size=\"24158208\"] \n  13 -> 14 [size =\"24158208\"]\n  14 [size=\"70123520\", alpha=\"0.06\", expect_size=\"28049408\"] \n  14 -> 15 [size =\"28049408\"]\n  15 [size=\"116147200\", alpha=\"0.11\", expect_size=\"46458880\"] \n  15 -> 16 [size =\"46458880\"]\n  16 [size=\"110300160\", alpha=\"0.17\", expect_size=\"44120064\"] \n  16 -> 17 [size =\"44120064\"]\n  17 [size=\"129336320\", alpha=\"0.08\", expect_size=\"51734528\"] \n  17 -> 18 [size =\"51734528\"]\n  18 [size=\"80883200\", alpha=\"0.01\", expect_size=\"32353280\"] \n  18 -> 19 [size =\"32353280\"]\n  19 [size=\"23662080\", alpha=\"0.12\", expect_size=\"9464832\"] \n  19 -> 20 [size =\"9464832\"]\n  20 [size=\"97830400\", alpha=\"0.04\", expect_size=\"39132160\"] \n  20 -> 21 [size =\"39132160\"]\n  21 [size=\"103639040\", alpha=\"0.10\", expect_size=\"41455616\"] \n  21 -> 22 [size =\"41455616\"]\n  22 [size=\"81574400\", alpha=\"0.10\", expect_size=\"32629760\"] \n  22 -> 23 [size =\"32629760\"]\n  23 [size=\"21442560\", alpha=\"0.02\", expect_size=\"8577024\"] \n  23 -> 24 [size =\"8577024\"]\n  24 [size=\"18283520\", alpha=\"0.12\", expect_size=\"7313408\"] \n  24 -> 25 [size =\"7313408\"]\n  25 [size=\"55185920\", alpha=\"0.08\", expect_size=\"22074368\"] \n  25 -> 26 [size =\"22074368\"]\n  26 [size=\"117242880\", alpha=\"0.11\", expect_size=\"46897152\"] \n  26 -> 27 [size =\"46897152\"]\n  27 [size=\"98245120\", alpha=\"0.06\", expect_size=\"39298048\"] \n  27 -> 28 [size =\"39298048\"]\n  28 [size=\"24793600\", alpha=\"0.18\", expect_size=\"9917440\"] \n  28 -> 29 [size =\"9917440\"]\n  29 [size=\"31086080\", alpha=\"0.14\", expect_size=\"12434432\"] \n  29 -> 30 [size =\"12434432\"]\n  30 [size=\"101972480\", alpha=\"0.11\", expect_size=\"40788992\"] \n  30 -> 31 [size =\"40788992\"]\n  31 [size=\"123932160\", alpha=\"0.14\", expect_size=\"49572864\"] \n  31 -> 32 [size =\"49572864\"]\n  32 [size=\"67046400\", alpha=\"0.18\", expect_size=\"26818560\"] \n  32 -> 33 [size =\"26818560\"]\n  33 [size=\"123878400\", alpha=\"0.10\", expect_size=\"49551360\"] \n  33 -> 34 [size =\"49551360\"]\n  34 [size=\"18168320\", alpha=\"0.11\", expect_size=\"7267328\"] \n  34 -> 35 [size =\"7267328\"]\n  35 [size=\"87792640\", alpha=\"0.10\", expect_size=\"35117056\"] \n  35 -> 36 [size =\"35117056\"]\n  36 [size=\"19814400\", alpha=\"0.06\", expect_size=\"7925760\"] \n  36 -> 37 [size =\"7925760\"]\n  37 [size=\"85859840\", alpha=\"0.01\", expect_size=\"34343936\"] \n  37 -> 38 [size =\"34343936\"]\n  38 [size=\"122716160\", alpha=\"0.08\", expect_size=\"49086464\"] \n  38 -> 39 [size =\"49086464\"]\n  39 [size=\"110586880\", alpha=\"0.16\", expect_size=\"44234752\"] \n  39 -> 40 [size =\"44234752\"]\n  40 [size=\"77063680\", alpha=\"0.19\", expect_size=\"30825472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14366720\", alpha=\"0.11\", expect_size=\"5746688\"] \n  1 -> 12 [size =\"5746688\"]\n  1 -> 13 [size =\"5746688\"]\n  2 [size=\"30663680\", alpha=\"0.12\", expect_size=\"12265472\"] \n  2 -> 10 [size =\"12265472\"]\n  3 [size=\"121809920\", alpha=\"0.01\", expect_size=\"48723968\"] \n  3 -> 8 [size =\"48723968\"]\n  3 -> 9 [size =\"48723968\"]\n  4 [size=\"24957440\", alpha=\"0.14\", expect_size=\"9982976\"] \n  4 -> 8 [size =\"9982976\"]\n  4 -> 12 [size =\"9982976\"]\n  5 [size=\"45834240\", alpha=\"0.03\", expect_size=\"18333696\"] \n  5 -> 7 [size =\"18333696\"]\n  5 -> 9 [size =\"18333696\"]\n  5 -> 11 [size =\"18333696\"]\n  6 [size=\"30589440\", alpha=\"0.06\", expect_size=\"12235776\"] \n  6 -> 10 [size =\"12235776\"]\n  7 [size=\"127833600\", alpha=\"0.03\", expect_size=\"51133440\"] \n  7 -> 15 [size =\"51133440\"]\n  8 [size=\"87208960\", alpha=\"0.13\", expect_size=\"34883584\"] \n  8 -> 14 [size =\"34883584\"]\n  8 -> 17 [size =\"34883584\"]\n  9 [size=\"67102720\", alpha=\"0.18\", expect_size=\"26841088\"] \n  10 [size=\"84723200\", alpha=\"0.05\", expect_size=\"33889280\"] \n  11 [size=\"20761600\", alpha=\"0.17\", expect_size=\"8304640\"] \n  11 -> 16 [size =\"8304640\"]\n  12 [size=\"85926400\", alpha=\"0.13\", expect_size=\"34370560\"] \n  12 -> 14 [size =\"34370560\"]\n  13 [size=\"41041920\", alpha=\"0.10\", expect_size=\"16416768\"] \n  14 [size=\"44720640\", alpha=\"0.11\", expect_size=\"17888256\"] \n  14 -> 18 [size =\"17888256\"]\n  14 -> 21 [size =\"17888256\"]\n  15 [size=\"125555200\", alpha=\"0.13\", expect_size=\"50222080\"] \n  15 -> 19 [size =\"50222080\"]\n  15 -> 22 [size =\"50222080\"]\n  16 [size=\"27123200\", alpha=\"0.18\", expect_size=\"10849280\"] \n  16 -> 20 [size =\"10849280\"]\n  17 [size=\"64166400\", alpha=\"0.11\", expect_size=\"25666560\"] \n  17 -> 19 [size =\"25666560\"]\n  17 -> 20 [size =\"25666560\"]\n  17 -> 21 [size =\"25666560\"]\n  18 [size=\"81930240\", alpha=\"0.07\", expect_size=\"32772096\"] \n  18 -> 25 [size =\"32772096\"]\n  18 -> 26 [size =\"32772096\"]\n  19 [size=\"42920960\", alpha=\"0.03\", expect_size=\"17168384\"] \n  19 -> 23 [size =\"17168384\"]\n  20 [size=\"33776640\", alpha=\"0.08\", expect_size=\"13510656\"] \n  20 -> 25 [size =\"13510656\"]\n  20 -> 26 [size =\"13510656\"]\n  21 [size=\"61276160\", alpha=\"0.13\", expect_size=\"24510464\"] \n  21 -> 23 [size =\"24510464\"]\n  21 -> 26 [size =\"24510464\"]\n  22 [size=\"42600960\", alpha=\"0.02\", expect_size=\"17040384\"] \n  22 -> 23 [size =\"17040384\"]\n  22 -> 24 [size =\"17040384\"]\n  23 [size=\"120028160\", alpha=\"0.09\", expect_size=\"48011264\"] \n  23 -> 28 [size =\"48011264\"]\n  23 -> 29 [size =\"48011264\"]\n  23 -> 30 [size =\"48011264\"]\n  24 [size=\"61260800\", alpha=\"0.17\", expect_size=\"24504320\"] \n  24 -> 30 [size =\"24504320\"]\n  24 -> 31 [size =\"24504320\"]\n  25 [size=\"124037120\", alpha=\"0.12\", expect_size=\"49614848\"] \n  25 -> 27 [size =\"49614848\"]\n  25 -> 28 [size =\"49614848\"]\n  25 -> 30 [size =\"49614848\"]\n  25 -> 31 [size =\"49614848\"]\n  26 [size=\"84172800\", alpha=\"0.09\", expect_size=\"33669120\"] \n  26 -> 27 [size =\"33669120\"]\n  26 -> 31 [size =\"33669120\"]\n  27 [size=\"74882560\", alpha=\"0.06\", expect_size=\"29953024\"] \n  28 [size=\"20032000\", alpha=\"0.15\", expect_size=\"8012800\"] \n  28 -> 35 [size =\"8012800\"]\n  29 [size=\"59471360\", alpha=\"0.14\", expect_size=\"23788544\"] \n  29 -> 32 [size =\"23788544\"]\n  29 -> 34 [size =\"23788544\"]\n  29 -> 36 [size =\"23788544\"]\n  30 [size=\"76487680\", alpha=\"0.04\", expect_size=\"30595072\"] \n  30 -> 32 [size =\"30595072\"]\n  30 -> 33 [size =\"30595072\"]\n  30 -> 34 [size =\"30595072\"]\n  30 -> 36 [size =\"30595072\"]\n  31 [size=\"124057600\", alpha=\"0.16\", expect_size=\"49623040\"] \n  31 -> 32 [size =\"49623040\"]\n  31 -> 33 [size =\"49623040\"]\n  31 -> 34 [size =\"49623040\"]\n  32 [size=\"85475840\", alpha=\"0.01\", expect_size=\"34190336\"] \n  32 -> 37 [size =\"34190336\"]\n  33 [size=\"96266240\", alpha=\"0.10\", expect_size=\"38506496\"] \n  33 -> 37 [size =\"38506496\"]\n  34 [size=\"29201920\", alpha=\"0.04\", expect_size=\"11680768\"] \n  34 -> 37 [size =\"11680768\"]\n  34 -> 38 [size =\"11680768\"]\n  35 [size=\"14103040\", alpha=\"0.17\", expect_size=\"5641216\"] \n  35 -> 39 [size =\"5641216\"]\n  35 -> 40 [size =\"5641216\"]\n  36 [size=\"83694080\", alpha=\"0.13\", expect_size=\"33477632\"] \n  37 [size=\"19530240\", alpha=\"0.18\", expect_size=\"7812096\"] \n  38 [size=\"54305280\", alpha=\"0.14\", expect_size=\"21722112\"] \n  39 [size=\"26188800\", alpha=\"0.15\", expect_size=\"10475520\"] \n  40 [size=\"107143680\", alpha=\"0.20\", expect_size=\"42857472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62853120\", alpha=\"0.11\", expect_size=\"18855936\"] \n  1 -> 26 [size =\"18855936\"]\n  1 -> 27 [size =\"18855936\"]\n  1 -> 29 [size =\"18855936\"]\n  1 -> 34 [size =\"18855936\"]\n  1 -> 37 [size =\"18855936\"]\n  1 -> 39 [size =\"18855936\"]\n  2 [size=\"145971200\", alpha=\"0.08\", expect_size=\"43791360\"] \n  2 -> 27 [size =\"43791360\"]\n  2 -> 31 [size =\"43791360\"]\n  2 -> 32 [size =\"43791360\"]\n  2 -> 33 [size =\"43791360\"]\n  2 -> 34 [size =\"43791360\"]\n  3 [size=\"118988800\", alpha=\"0.17\", expect_size=\"35696640\"] \n  3 -> 23 [size =\"35696640\"]\n  3 -> 25 [size =\"35696640\"]\n  3 -> 33 [size =\"35696640\"]\n  3 -> 37 [size =\"35696640\"]\n  4 [size=\"126641493\", alpha=\"0.00\", expect_size=\"37992448\"] \n  4 -> 22 [size =\"37992448\"]\n  4 -> 23 [size =\"37992448\"]\n  4 -> 25 [size =\"37992448\"]\n  4 -> 27 [size =\"37992448\"]\n  4 -> 29 [size =\"37992448\"]\n  4 -> 30 [size =\"37992448\"]\n  4 -> 33 [size =\"37992448\"]\n  4 -> 36 [size =\"37992448\"]\n  5 [size=\"121204053\", alpha=\"0.03\", expect_size=\"36361216\"] \n  5 -> 27 [size =\"36361216\"]\n  5 -> 30 [size =\"36361216\"]\n  5 -> 31 [size =\"36361216\"]\n  5 -> 32 [size =\"36361216\"]\n  5 -> 34 [size =\"36361216\"]\n  5 -> 40 [size =\"36361216\"]\n  6 [size=\"132345173\", alpha=\"0.14\", expect_size=\"39703552\"] \n  6 -> 26 [size =\"39703552\"]\n  6 -> 29 [size =\"39703552\"]\n  6 -> 30 [size =\"39703552\"]\n  6 -> 33 [size =\"39703552\"]\n  6 -> 34 [size =\"39703552\"]\n  7 [size=\"166232747\", alpha=\"0.16\", expect_size=\"49869824\"] \n  7 -> 22 [size =\"49869824\"]\n  7 -> 24 [size =\"49869824\"]\n  7 -> 27 [size =\"49869824\"]\n  7 -> 28 [size =\"49869824\"]\n  7 -> 29 [size =\"49869824\"]\n  7 -> 33 [size =\"49869824\"]\n  7 -> 35 [size =\"49869824\"]\n  7 -> 39 [size =\"49869824\"]\n  8 [size=\"142564693\", alpha=\"0.11\", expect_size=\"42769408\"] \n  8 -> 22 [size =\"42769408\"]\n  8 -> 24 [size =\"42769408\"]\n  8 -> 26 [size =\"42769408\"]\n  8 -> 27 [size =\"42769408\"]\n  8 -> 33 [size =\"42769408\"]\n  8 -> 37 [size =\"42769408\"]\n  8 -> 38 [size =\"42769408\"]\n  9 [size=\"115404800\", alpha=\"0.08\", expect_size=\"34621440\"] \n  9 -> 22 [size =\"34621440\"]\n  9 -> 24 [size =\"34621440\"]\n  9 -> 26 [size =\"34621440\"]\n  9 -> 27 [size =\"34621440\"]\n  9 -> 30 [size =\"34621440\"]\n  9 -> 37 [size =\"34621440\"]\n  9 -> 38 [size =\"34621440\"]\n  9 -> 39 [size =\"34621440\"]\n  10 [size=\"103546880\", alpha=\"0.11\", expect_size=\"31064064\"] \n  10 -> 24 [size =\"31064064\"]\n  10 -> 26 [size =\"31064064\"]\n  10 -> 27 [size =\"31064064\"]\n  10 -> 28 [size =\"31064064\"]\n  10 -> 29 [size =\"31064064\"]\n  10 -> 30 [size =\"31064064\"]\n  10 -> 32 [size =\"31064064\"]\n  10 -> 34 [size =\"31064064\"]\n  10 -> 36 [size =\"31064064\"]\n  11 [size=\"154453333\", alpha=\"0.18\", expect_size=\"46336000\"] \n  11 -> 22 [size =\"46336000\"]\n  11 -> 24 [size =\"46336000\"]\n  11 -> 27 [size =\"46336000\"]\n  11 -> 32 [size =\"46336000\"]\n  11 -> 37 [size =\"46336000\"]\n  12 [size=\"84633600\", alpha=\"0.06\", expect_size=\"25390080\"] \n  12 -> 26 [size =\"25390080\"]\n  12 -> 27 [size =\"25390080\"]\n  12 -> 32 [size =\"25390080\"]\n  12 -> 37 [size =\"25390080\"]\n  12 -> 40 [size =\"25390080\"]\n  13 [size=\"147080533\", alpha=\"0.04\", expect_size=\"44124160\"] \n  13 -> 24 [size =\"44124160\"]\n  13 -> 29 [size =\"44124160\"]\n  13 -> 30 [size =\"44124160\"]\n  14 [size=\"125494613\", alpha=\"0.08\", expect_size=\"37648384\"] \n  14 -> 24 [size =\"37648384\"]\n  14 -> 25 [size =\"37648384\"]\n  14 -> 29 [size =\"37648384\"]\n  14 -> 30 [size =\"37648384\"]\n  14 -> 35 [size =\"37648384\"]\n  15 [size=\"128375467\", alpha=\"0.06\", expect_size=\"38512640\"] \n  15 -> 22 [size =\"38512640\"]\n  15 -> 25 [size =\"38512640\"]\n  16 [size=\"155221333\", alpha=\"0.08\", expect_size=\"46566400\"] \n  16 -> 22 [size =\"46566400\"]\n  16 -> 28 [size =\"46566400\"]\n  16 -> 39 [size =\"46566400\"]\n  17 [size=\"105328640\", alpha=\"0.10\", expect_size=\"31598592\"] \n  17 -> 25 [size =\"31598592\"]\n  17 -> 28 [size =\"31598592\"]\n  17 -> 29 [size =\"31598592\"]\n  17 -> 32 [size =\"31598592\"]\n  17 -> 34 [size =\"31598592\"]\n  17 -> 35 [size =\"31598592\"]\n  18 [size=\"71133867\", alpha=\"0.08\", expect_size=\"21340160\"] \n  18 -> 22 [size =\"21340160\"]\n  18 -> 23 [size =\"21340160\"]\n  18 -> 26 [size =\"21340160\"]\n  18 -> 28 [size =\"21340160\"]\n  18 -> 32 [size =\"21340160\"]\n  18 -> 34 [size =\"21340160\"]\n  18 -> 35 [size =\"21340160\"]\n  18 -> 37 [size =\"21340160\"]\n  19 [size=\"159604053\", alpha=\"0.12\", expect_size=\"47881216\"] \n  19 -> 25 [size =\"47881216\"]\n  19 -> 31 [size =\"47881216\"]\n  19 -> 34 [size =\"47881216\"]\n  19 -> 36 [size =\"47881216\"]\n  19 -> 39 [size =\"47881216\"]\n  20 [size=\"67703467\", alpha=\"0.11\", expect_size=\"20311040\"] \n  20 -> 22 [size =\"20311040\"]\n  20 -> 25 [size =\"20311040\"]\n  20 -> 27 [size =\"20311040\"]\n  20 -> 29 [size =\"20311040\"]\n  20 -> 33 [size =\"20311040\"]\n  20 -> 36 [size =\"20311040\"]\n  20 -> 37 [size =\"20311040\"]\n  20 -> 40 [size =\"20311040\"]\n  21 [size=\"153497600\", alpha=\"0.16\", expect_size=\"46049280\"] \n  21 -> 26 [size =\"46049280\"]\n  21 -> 29 [size =\"46049280\"]\n  21 -> 33 [size =\"46049280\"]\n  21 -> 36 [size =\"46049280\"]\n  21 -> 37 [size =\"46049280\"]\n  21 -> 38 [size =\"46049280\"]\n  22 [size=\"140987733\", alpha=\"0.17\", expect_size=\"42296320\"] \n  23 [size=\"32354987\", alpha=\"0.10\", expect_size=\"9706496\"] \n  24 [size=\"61893973\", alpha=\"0.18\", expect_size=\"18568192\"] \n  25 [size=\"121101653\", alpha=\"0.19\", expect_size=\"36330496\"] \n  26 [size=\"171591680\", alpha=\"0.15\", expect_size=\"51477504\"] \n  27 [size=\"79158613\", alpha=\"0.09\", expect_size=\"23747584\"] \n  28 [size=\"158057813\", alpha=\"0.19\", expect_size=\"47417344\"] \n  29 [size=\"65693013\", alpha=\"0.02\", expect_size=\"19707904\"] \n  30 [size=\"162010453\", alpha=\"0.16\", expect_size=\"48603136\"] \n  31 [size=\"91695787\", alpha=\"0.07\", expect_size=\"27508736\"] \n  32 [size=\"57408853\", alpha=\"0.07\", expect_size=\"17222656\"] \n  33 [size=\"30361600\", alpha=\"0.03\", expect_size=\"9108480\"] \n  34 [size=\"112063147\", alpha=\"0.13\", expect_size=\"33618944\"] \n  35 [size=\"97116160\", alpha=\"0.17\", expect_size=\"29134848\"] \n  36 [size=\"89248427\", alpha=\"0.18\", expect_size=\"26774528\"] \n  37 [size=\"46039040\", alpha=\"0.11\", expect_size=\"13811712\"] \n  38 [size=\"116254720\", alpha=\"0.10\", expect_size=\"34876416\"] \n  39 [size=\"110407680\", alpha=\"0.08\", expect_size=\"33122304\"] \n  40 [size=\"126436693\", alpha=\"0.12\", expect_size=\"37931008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59269120\", alpha=\"0.08\", expect_size=\"23707648\"] \n  1 -> 37 [size =\"23707648\"]\n  1 -> 39 [size =\"23707648\"]\n  1 -> 39 [size =\"23707648\"]\n  2 [size=\"102243840\", alpha=\"0.10\", expect_size=\"40897536\"] \n  2 -> 37 [size =\"40897536\"]\n  2 -> 39 [size =\"40897536\"]\n  3 [size=\"101913600\", alpha=\"0.08\", expect_size=\"40765440\"] \n  3 -> 37 [size =\"40765440\"]\n  4 [size=\"14712320\", alpha=\"0.12\", expect_size=\"5884928\"] \n  4 -> 37 [size =\"5884928\"]\n  5 [size=\"88320000\", alpha=\"0.11\", expect_size=\"35328000\"] \n  6 [size=\"42918400\", alpha=\"0.20\", expect_size=\"17167360\"] \n  6 -> 38 [size =\"17167360\"]\n  6 -> 39 [size =\"17167360\"]\n  7 [size=\"81891840\", alpha=\"0.14\", expect_size=\"32756736\"] \n  8 [size=\"75466240\", alpha=\"0.00\", expect_size=\"30186496\"] \n  8 -> 40 [size =\"30186496\"]\n  9 [size=\"75793920\", alpha=\"0.02\", expect_size=\"30317568\"] \n  9 -> 39 [size =\"30317568\"]\n  10 [size=\"32212480\", alpha=\"0.19\", expect_size=\"12884992\"] \n  10 -> 39 [size =\"12884992\"]\n  11 [size=\"108549120\", alpha=\"0.09\", expect_size=\"43419648\"] \n  11 -> 37 [size =\"43419648\"]\n  11 -> 38 [size =\"43419648\"]\n  12 [size=\"40243200\", alpha=\"0.11\", expect_size=\"16097280\"] \n  12 -> 37 [size =\"16097280\"]\n  13 [size=\"97244160\", alpha=\"0.12\", expect_size=\"38897664\"] \n  13 -> 37 [size =\"38897664\"]\n  14 [size=\"23761920\", alpha=\"0.12\", expect_size=\"9504768\"] \n  14 -> 37 [size =\"9504768\"]\n  15 [size=\"96465920\", alpha=\"0.09\", expect_size=\"38586368\"] \n  15 -> 37 [size =\"38586368\"]\n  15 -> 38 [size =\"38586368\"]\n  15 -> 39 [size =\"38586368\"]\n  15 -> 40 [size =\"38586368\"]\n  16 [size=\"40706560\", alpha=\"0.08\", expect_size=\"16282624\"] \n  16 -> 37 [size =\"16282624\"]\n  17 [size=\"40545280\", alpha=\"0.12\", expect_size=\"16218112\"] \n  17 -> 37 [size =\"16218112\"]\n  17 -> 39 [size =\"16218112\"]\n  18 [size=\"120632320\", alpha=\"0.09\", expect_size=\"48252928\"] \n  18 -> 39 [size =\"48252928\"]\n  19 [size=\"121812480\", alpha=\"0.01\", expect_size=\"48724992\"] \n  19 -> 38 [size =\"48724992\"]\n  19 -> 39 [size =\"48724992\"]\n  20 [size=\"14182400\", alpha=\"0.14\", expect_size=\"5672960\"] \n  20 -> 38 [size =\"5672960\"]\n  20 -> 39 [size =\"5672960\"]\n  21 [size=\"124078080\", alpha=\"0.15\", expect_size=\"49631232\"] \n  21 -> 37 [size =\"49631232\"]\n  21 -> 38 [size =\"49631232\"]\n  21 -> 39 [size =\"49631232\"]\n  22 [size=\"58465280\", alpha=\"0.11\", expect_size=\"23386112\"] \n  22 -> 37 [size =\"23386112\"]\n  23 [size=\"123486720\", alpha=\"0.02\", expect_size=\"49394688\"] \n  23 -> 37 [size =\"49394688\"]\n  24 [size=\"75696640\", alpha=\"0.14\", expect_size=\"30278656\"] \n  24 -> 37 [size =\"30278656\"]\n  24 -> 38 [size =\"30278656\"]\n  24 -> 40 [size =\"30278656\"]\n  25 [size=\"26298880\", alpha=\"0.18\", expect_size=\"10519552\"] \n  25 -> 37 [size =\"10519552\"]\n  26 [size=\"78128640\", alpha=\"0.07\", expect_size=\"31251456\"] \n  26 -> 37 [size =\"31251456\"]\n  27 [size=\"126548480\", alpha=\"0.08\", expect_size=\"50619392\"] \n  27 -> 37 [size =\"50619392\"]\n  28 [size=\"79411200\", alpha=\"0.20\", expect_size=\"31764480\"] \n  28 -> 37 [size =\"31764480\"]\n  28 -> 38 [size =\"31764480\"]\n  28 -> 40 [size =\"31764480\"]\n  29 [size=\"15897600\", alpha=\"0.02\", expect_size=\"6359040\"] \n  29 -> 37 [size =\"6359040\"]\n  29 -> 40 [size =\"6359040\"]\n  30 [size=\"20782080\", alpha=\"0.07\", expect_size=\"8312832\"] \n  30 -> 38 [size =\"8312832\"]\n  30 -> 39 [size =\"8312832\"]\n  31 [size=\"103495680\", alpha=\"0.09\", expect_size=\"41398272\"] \n  31 -> 38 [size =\"41398272\"]\n  31 -> 39 [size =\"41398272\"]\n  32 [size=\"74273280\", alpha=\"0.15\", expect_size=\"29709312\"] \n  32 -> 37 [size =\"29709312\"]\n  32 -> 38 [size =\"29709312\"]\n  32 -> 39 [size =\"29709312\"]\n  33 [size=\"22256640\", alpha=\"0.15\", expect_size=\"8902656\"] \n  33 -> 37 [size =\"8902656\"]\n  33 -> 39 [size =\"8902656\"]\n  33 -> 40 [size =\"8902656\"]\n  34 [size=\"36252160\", alpha=\"0.18\", expect_size=\"14500864\"] \n  34 -> 37 [size =\"14500864\"]\n  35 [size=\"117867520\", alpha=\"0.14\", expect_size=\"47147008\"] \n  35 -> 37 [size =\"47147008\"]\n  36 [size=\"106383360\", alpha=\"0.15\", expect_size=\"42553344\"] \n  36 -> 37 [size =\"42553344\"]\n  36 -> 38 [size =\"42553344\"]\n  36 -> 39 [size =\"42553344\"]\n  37 [size=\"31613440\", alpha=\"0.01\", expect_size=\"12645376\"] \n  38 [size=\"80312320\", alpha=\"0.05\", expect_size=\"32124928\"] \n  39 [size=\"78906880\", alpha=\"0.07\", expect_size=\"31562752\"] \n  40 [size=\"90086400\", alpha=\"0.10\", expect_size=\"36034560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61112320\", alpha=\"0.16\", expect_size=\"18333696\"] \n  1 -> 4 [size =\"18333696\"]\n  1 -> 6 [size =\"18333696\"]\n  2 [size=\"73772373\", alpha=\"0.05\", expect_size=\"22131712\"] \n  2 -> 5 [size =\"22131712\"]\n  3 [size=\"64542720\", alpha=\"0.05\", expect_size=\"19362816\"] \n  4 [size=\"68055040\", alpha=\"0.19\", expect_size=\"20416512\"] \n  5 [size=\"170427733\", alpha=\"0.16\", expect_size=\"51128320\"] \n  5 -> 9 [size =\"51128320\"]\n  6 [size=\"158064640\", alpha=\"0.15\", expect_size=\"47419392\"] \n  6 -> 7 [size =\"47419392\"]\n  6 -> 8 [size =\"47419392\"]\n  7 [size=\"157573120\", alpha=\"0.01\", expect_size=\"47271936\"] \n  7 -> 10 [size =\"47271936\"]\n  7 -> 11 [size =\"47271936\"]\n  8 [size=\"109984427\", alpha=\"0.12\", expect_size=\"32995328\"] \n  8 -> 10 [size =\"32995328\"]\n  9 [size=\"88558933\", alpha=\"0.00\", expect_size=\"26567680\"] \n  10 [size=\"62935040\", alpha=\"0.14\", expect_size=\"18880512\"] \n  10 -> 12 [size =\"18880512\"]\n  10 -> 13 [size =\"18880512\"]\n  11 [size=\"160464213\", alpha=\"0.12\", expect_size=\"48139264\"] \n  12 [size=\"125859840\", alpha=\"0.08\", expect_size=\"37757952\"] \n  12 -> 14 [size =\"37757952\"]\n  12 -> 15 [size =\"37757952\"]\n  12 -> 16 [size =\"37757952\"]\n  13 [size=\"161378987\", alpha=\"0.10\", expect_size=\"48413696\"] \n  14 [size=\"46226773\", alpha=\"0.09\", expect_size=\"13868032\"] \n  14 -> 18 [size =\"13868032\"]\n  15 [size=\"37840213\", alpha=\"0.15\", expect_size=\"11352064\"] \n  15 -> 17 [size =\"11352064\"]\n  15 -> 18 [size =\"11352064\"]\n  16 [size=\"161119573\", alpha=\"0.11\", expect_size=\"48335872\"] \n  16 -> 17 [size =\"48335872\"]\n  17 [size=\"122596693\", alpha=\"0.11\", expect_size=\"36779008\"] \n  17 -> 19 [size =\"36779008\"]\n  17 -> 20 [size =\"36779008\"]\n  18 [size=\"129150293\", alpha=\"0.17\", expect_size=\"38745088\"] \n  18 -> 21 [size =\"38745088\"]\n  19 [size=\"68130133\", alpha=\"0.07\", expect_size=\"20439040\"] \n  19 -> 22 [size =\"20439040\"]\n  19 -> 23 [size =\"20439040\"]\n  20 [size=\"68850347\", alpha=\"0.13\", expect_size=\"20655104\"] \n  20 -> 24 [size =\"20655104\"]\n  21 [size=\"24876373\", alpha=\"0.05\", expect_size=\"7462912\"] \n  22 [size=\"120238080\", alpha=\"0.04\", expect_size=\"36071424\"] \n  22 -> 26 [size =\"36071424\"]\n  23 [size=\"29532160\", alpha=\"0.09\", expect_size=\"8859648\"] \n  24 [size=\"108465493\", alpha=\"0.20\", expect_size=\"32539648\"] \n  24 -> 25 [size =\"32539648\"]\n  25 [size=\"24135680\", alpha=\"0.11\", expect_size=\"7240704\"] \n  26 [size=\"138827093\", alpha=\"0.19\", expect_size=\"41648128\"] \n  26 -> 27 [size =\"41648128\"]\n  26 -> 28 [size =\"41648128\"]\n  27 [size=\"68768427\", alpha=\"0.06\", expect_size=\"20630528\"] \n  27 -> 30 [size =\"20630528\"]\n  28 [size=\"152415573\", alpha=\"0.04\", expect_size=\"45724672\"] \n  28 -> 29 [size =\"45724672\"]\n  28 -> 31 [size =\"45724672\"]\n  29 [size=\"126928213\", alpha=\"0.11\", expect_size=\"38078464\"] \n  29 -> 32 [size =\"38078464\"]\n  30 [size=\"25750187\", alpha=\"0.04\", expect_size=\"7725056\"] \n  31 [size=\"130239147\", alpha=\"0.15\", expect_size=\"39071744\"] \n  31 -> 32 [size =\"39071744\"]\n  31 -> 33 [size =\"39071744\"]\n  31 -> 34 [size =\"39071744\"]\n  32 [size=\"169461760\", alpha=\"0.00\", expect_size=\"50838528\"] \n  32 -> 35 [size =\"50838528\"]\n  32 -> 36 [size =\"50838528\"]\n  33 [size=\"42431147\", alpha=\"0.04\", expect_size=\"12729344\"] \n  33 -> 36 [size =\"12729344\"]\n  33 -> 37 [size =\"12729344\"]\n  34 [size=\"110783147\", alpha=\"0.10\", expect_size=\"33234944\"] \n  34 -> 37 [size =\"33234944\"]\n  35 [size=\"110530560\", alpha=\"0.20\", expect_size=\"33159168\"] \n  36 [size=\"37338453\", alpha=\"0.08\", expect_size=\"11201536\"] \n  36 -> 38 [size =\"11201536\"]\n  36 -> 39 [size =\"11201536\"]\n  36 -> 40 [size =\"11201536\"]\n  37 [size=\"31802027\", alpha=\"0.09\", expect_size=\"9540608\"] \n  37 -> 39 [size =\"9540608\"]\n  37 -> 40 [size =\"9540608\"]\n  38 [size=\"76728320\", alpha=\"0.04\", expect_size=\"23018496\"] \n  39 [size=\"107342507\", alpha=\"0.06\", expect_size=\"32202752\"] \n  40 [size=\"37440853\", alpha=\"0.14\", expect_size=\"11232256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42178560\", alpha=\"0.11\", expect_size=\"12653568\"] \n  1 -> 25 [size =\"12653568\"]\n  2 [size=\"121794560\", alpha=\"0.08\", expect_size=\"36538368\"] \n  2 -> 21 [size =\"36538368\"]\n  2 -> 26 [size =\"36538368\"]\n  3 [size=\"82732373\", alpha=\"0.02\", expect_size=\"24819712\"] \n  3 -> 18 [size =\"24819712\"]\n  3 -> 25 [size =\"24819712\"]\n  4 [size=\"146981547\", alpha=\"0.14\", expect_size=\"44094464\"] \n  5 [size=\"136041813\", alpha=\"0.05\", expect_size=\"40812544\"] \n  5 -> 18 [size =\"40812544\"]\n  5 -> 20 [size =\"40812544\"]\n  5 -> 25 [size =\"40812544\"]\n  6 [size=\"119135573\", alpha=\"0.18\", expect_size=\"35740672\"] \n  6 -> 18 [size =\"35740672\"]\n  6 -> 23 [size =\"35740672\"]\n  6 -> 25 [size =\"35740672\"]\n  7 [size=\"173329067\", alpha=\"0.16\", expect_size=\"51998720\"] \n  7 -> 18 [size =\"51998720\"]\n  7 -> 20 [size =\"51998720\"]\n  7 -> 23 [size =\"51998720\"]\n  8 [size=\"163522560\", alpha=\"0.17\", expect_size=\"49056768\"] \n  9 [size=\"89794560\", alpha=\"0.03\", expect_size=\"26938368\"] \n  9 -> 21 [size =\"26938368\"]\n  9 -> 22 [size =\"26938368\"]\n  10 [size=\"54954667\", alpha=\"0.05\", expect_size=\"16486400\"] \n  10 -> 19 [size =\"16486400\"]\n  10 -> 22 [size =\"16486400\"]\n  11 [size=\"22551893\", alpha=\"0.08\", expect_size=\"6765568\"] \n  11 -> 17 [size =\"6765568\"]\n  12 [size=\"109578240\", alpha=\"0.17\", expect_size=\"32873472\"] \n  12 -> 17 [size =\"32873472\"]\n  12 -> 21 [size =\"32873472\"]\n  12 -> 26 [size =\"32873472\"]\n  13 [size=\"170100053\", alpha=\"0.10\", expect_size=\"51030016\"] \n  13 -> 18 [size =\"51030016\"]\n  14 [size=\"27716267\", alpha=\"0.03\", expect_size=\"8314880\"] \n  14 -> 18 [size =\"8314880\"]\n  14 -> 24 [size =\"8314880\"]\n  14 -> 25 [size =\"8314880\"]\n  15 [size=\"137929387\", alpha=\"0.09\", expect_size=\"41378816\"] \n  15 -> 17 [size =\"41378816\"]\n  15 -> 18 [size =\"41378816\"]\n  16 [size=\"19841707\", alpha=\"0.16\", expect_size=\"5952512\"] \n  16 -> 23 [size =\"5952512\"]\n  17 [size=\"163536213\", alpha=\"0.17\", expect_size=\"49060864\"] \n  18 [size=\"130167467\", alpha=\"0.04\", expect_size=\"39050240\"] \n  18 -> 27 [size =\"39050240\"]\n  18 -> 28 [size =\"39050240\"]\n  18 -> 29 [size =\"39050240\"]\n  19 [size=\"110021973\", alpha=\"0.03\", expect_size=\"33006592\"] \n  19 -> 28 [size =\"33006592\"]\n  19 -> 31 [size =\"33006592\"]\n  20 [size=\"131416747\", alpha=\"0.07\", expect_size=\"39425024\"] \n  20 -> 29 [size =\"39425024\"]\n  21 [size=\"169188693\", alpha=\"0.15\", expect_size=\"50756608\"] \n  21 -> 29 [size =\"50756608\"]\n  22 [size=\"71915520\", alpha=\"0.16\", expect_size=\"21574656\"] \n  22 -> 31 [size =\"21574656\"]\n  22 -> 32 [size =\"21574656\"]\n  22 -> 33 [size =\"21574656\"]\n  23 [size=\"49759573\", alpha=\"0.05\", expect_size=\"14927872\"] \n  23 -> 33 [size =\"14927872\"]\n  24 [size=\"132092587\", alpha=\"0.10\", expect_size=\"39627776\"] \n  24 -> 28 [size =\"39627776\"]\n  24 -> 30 [size =\"39627776\"]\n  24 -> 31 [size =\"39627776\"]\n  24 -> 32 [size =\"39627776\"]\n  25 [size=\"152674987\", alpha=\"0.11\", expect_size=\"45802496\"] \n  25 -> 31 [size =\"45802496\"]\n  26 [size=\"65280000\", alpha=\"0.05\", expect_size=\"19584000\"] \n  26 -> 32 [size =\"19584000\"]\n  27 [size=\"37113173\", alpha=\"0.18\", expect_size=\"11133952\"] \n  27 -> 36 [size =\"11133952\"]\n  27 -> 37 [size =\"11133952\"]\n  27 -> 39 [size =\"11133952\"]\n  28 [size=\"168956587\", alpha=\"0.10\", expect_size=\"50686976\"] \n  28 -> 40 [size =\"50686976\"]\n  29 [size=\"45189120\", alpha=\"0.11\", expect_size=\"13556736\"] \n  30 [size=\"66416640\", alpha=\"0.17\", expect_size=\"19924992\"] \n  30 -> 34 [size =\"19924992\"]\n  30 -> 40 [size =\"19924992\"]\n  31 [size=\"122453333\", alpha=\"0.04\", expect_size=\"36736000\"] \n  31 -> 36 [size =\"36736000\"]\n  31 -> 37 [size =\"36736000\"]\n  31 -> 38 [size =\"36736000\"]\n  31 -> 40 [size =\"36736000\"]\n  32 [size=\"80718507\", alpha=\"0.02\", expect_size=\"24215552\"] \n  32 -> 34 [size =\"24215552\"]\n  32 -> 35 [size =\"24215552\"]\n  32 -> 38 [size =\"24215552\"]\n  32 -> 40 [size =\"24215552\"]\n  33 [size=\"45537280\", alpha=\"0.20\", expect_size=\"13661184\"] \n  33 -> 34 [size =\"13661184\"]\n  34 [size=\"82158933\", alpha=\"0.19\", expect_size=\"24647680\"] \n  35 [size=\"162805760\", alpha=\"0.13\", expect_size=\"48841728\"] \n  36 [size=\"91477333\", alpha=\"0.08\", expect_size=\"27443200\"] \n  37 [size=\"127115947\", alpha=\"0.01\", expect_size=\"38134784\"] \n  38 [size=\"111008427\", alpha=\"0.08\", expect_size=\"33302528\"] \n  39 [size=\"31914667\", alpha=\"0.08\", expect_size=\"9574400\"] \n  40 [size=\"119435947\", alpha=\"0.02\", expect_size=\"35830784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18847744\", alpha=\"0.19\", expect_size=\"9423872\"] \n  1 -> 6 [size =\"9423872\"]\n  2 [size=\"103755776\", alpha=\"0.09\", expect_size=\"51877888\"] \n  2 -> 8 [size =\"51877888\"]\n  3 [size=\"66275328\", alpha=\"0.12\", expect_size=\"33137664\"] \n  3 -> 6 [size =\"33137664\"]\n  3 -> 7 [size =\"33137664\"]\n  4 [size=\"42850304\", alpha=\"0.19\", expect_size=\"21425152\"] \n  4 -> 8 [size =\"21425152\"]\n  5 [size=\"12627968\", alpha=\"0.18\", expect_size=\"6313984\"] \n  6 [size=\"35182592\", alpha=\"0.08\", expect_size=\"17591296\"] \n  6 -> 9 [size =\"17591296\"]\n  6 -> 10 [size =\"17591296\"]\n  6 -> 11 [size =\"17591296\"]\n  6 -> 14 [size =\"17591296\"]\n  7 [size=\"85737472\", alpha=\"0.13\", expect_size=\"42868736\"] \n  7 -> 10 [size =\"42868736\"]\n  7 -> 13 [size =\"42868736\"]\n  8 [size=\"62728192\", alpha=\"0.03\", expect_size=\"31364096\"] \n  8 -> 11 [size =\"31364096\"]\n  8 -> 12 [size =\"31364096\"]\n  8 -> 15 [size =\"31364096\"]\n  9 [size=\"74711040\", alpha=\"0.12\", expect_size=\"37355520\"] \n  9 -> 17 [size =\"37355520\"]\n  9 -> 18 [size =\"37355520\"]\n  10 [size=\"30048256\", alpha=\"0.07\", expect_size=\"15024128\"] \n  10 -> 18 [size =\"15024128\"]\n  10 -> 19 [size =\"15024128\"]\n  10 -> 20 [size =\"15024128\"]\n  11 [size=\"101324800\", alpha=\"0.18\", expect_size=\"50662400\"] \n  11 -> 19 [size =\"50662400\"]\n  12 [size=\"95301632\", alpha=\"0.16\", expect_size=\"47650816\"] \n  12 -> 16 [size =\"47650816\"]\n  12 -> 18 [size =\"47650816\"]\n  12 -> 20 [size =\"47650816\"]\n  13 [size=\"41482240\", alpha=\"0.19\", expect_size=\"20741120\"] \n  13 -> 16 [size =\"20741120\"]\n  13 -> 18 [size =\"20741120\"]\n  13 -> 19 [size =\"20741120\"]\n  13 -> 20 [size =\"20741120\"]\n  14 [size=\"100022272\", alpha=\"0.01\", expect_size=\"50011136\"] \n  15 [size=\"97552384\", alpha=\"0.02\", expect_size=\"48776192\"] \n  16 [size=\"88195072\", alpha=\"0.17\", expect_size=\"44097536\"] \n  16 -> 21 [size =\"44097536\"]\n  17 [size=\"30824448\", alpha=\"0.12\", expect_size=\"15412224\"] \n  17 -> 21 [size =\"15412224\"]\n  17 -> 24 [size =\"15412224\"]\n  18 [size=\"92196864\", alpha=\"0.09\", expect_size=\"46098432\"] \n  18 -> 22 [size =\"46098432\"]\n  18 -> 23 [size =\"46098432\"]\n  19 [size=\"11610112\", alpha=\"0.01\", expect_size=\"5805056\"] \n  19 -> 22 [size =\"5805056\"]\n  19 -> 24 [size =\"5805056\"]\n  19 -> 25 [size =\"5805056\"]\n  19 -> 26 [size =\"5805056\"]\n  20 [size=\"66412544\", alpha=\"0.04\", expect_size=\"33206272\"] \n  20 -> 22 [size =\"33206272\"]\n  21 [size=\"100052992\", alpha=\"0.09\", expect_size=\"50026496\"] \n  21 -> 31 [size =\"50026496\"]\n  22 [size=\"91641856\", alpha=\"0.14\", expect_size=\"45820928\"] \n  22 -> 28 [size =\"45820928\"]\n  23 [size=\"73564160\", alpha=\"0.10\", expect_size=\"36782080\"] \n  23 -> 27 [size =\"36782080\"]\n  23 -> 29 [size =\"36782080\"]\n  23 -> 32 [size =\"36782080\"]\n  24 [size=\"66813952\", alpha=\"0.14\", expect_size=\"33406976\"] \n  24 -> 27 [size =\"33406976\"]\n  24 -> 32 [size =\"33406976\"]\n  25 [size=\"72863744\", alpha=\"0.18\", expect_size=\"36431872\"] \n  25 -> 27 [size =\"36431872\"]\n  25 -> 28 [size =\"36431872\"]\n  25 -> 29 [size =\"36431872\"]\n  25 -> 32 [size =\"36431872\"]\n  26 [size=\"80979968\", alpha=\"0.07\", expect_size=\"40489984\"] \n  26 -> 30 [size =\"40489984\"]\n  27 [size=\"65196032\", alpha=\"0.12\", expect_size=\"32598016\"] \n  27 -> 35 [size =\"32598016\"]\n  27 -> 37 [size =\"32598016\"]\n  27 -> 39 [size =\"32598016\"]\n  28 [size=\"27000832\", alpha=\"0.08\", expect_size=\"13500416\"] \n  28 -> 33 [size =\"13500416\"]\n  28 -> 36 [size =\"13500416\"]\n  29 [size=\"70670336\", alpha=\"0.18\", expect_size=\"35335168\"] \n  29 -> 33 [size =\"35335168\"]\n  30 [size=\"74397696\", alpha=\"0.11\", expect_size=\"37198848\"] \n  30 -> 37 [size =\"37198848\"]\n  30 -> 39 [size =\"37198848\"]\n  31 [size=\"93194240\", alpha=\"0.05\", expect_size=\"46597120\"] \n  31 -> 37 [size =\"46597120\"]\n  31 -> 39 [size =\"46597120\"]\n  32 [size=\"41054208\", alpha=\"0.16\", expect_size=\"20527104\"] \n  32 -> 34 [size =\"20527104\"]\n  32 -> 38 [size =\"20527104\"]\n  33 [size=\"11247616\", alpha=\"0.13\", expect_size=\"5623808\"] \n  34 [size=\"59566080\", alpha=\"0.10\", expect_size=\"29783040\"] \n  35 [size=\"29630464\", alpha=\"0.05\", expect_size=\"14815232\"] \n  35 -> 40 [size =\"14815232\"]\n  36 [size=\"17956864\", alpha=\"0.17\", expect_size=\"8978432\"] \n  36 -> 40 [size =\"8978432\"]\n  37 [size=\"49242112\", alpha=\"0.13\", expect_size=\"24621056\"] \n  38 [size=\"104370176\", alpha=\"0.06\", expect_size=\"52185088\"] \n  39 [size=\"46837760\", alpha=\"0.19\", expect_size=\"23418880\"] \n  40 [size=\"35244032\", alpha=\"0.05\", expect_size=\"17622016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70754987\", alpha=\"0.14\", expect_size=\"21226496\"] \n  1 -> 7 [size =\"21226496\"]\n  1 -> 10 [size =\"21226496\"]\n  1 -> 12 [size =\"21226496\"]\n  1 -> 13 [size =\"21226496\"]\n  2 [size=\"87825067\", alpha=\"0.14\", expect_size=\"26347520\"] \n  3 [size=\"99887787\", alpha=\"0.11\", expect_size=\"29966336\"] \n  3 -> 10 [size =\"29966336\"]\n  4 [size=\"91794773\", alpha=\"0.00\", expect_size=\"27538432\"] \n  4 -> 7 [size =\"27538432\"]\n  4 -> 9 [size =\"27538432\"]\n  4 -> 10 [size =\"27538432\"]\n  4 -> 12 [size =\"27538432\"]\n  5 [size=\"62214827\", alpha=\"0.02\", expect_size=\"18664448\"] \n  5 -> 7 [size =\"18664448\"]\n  5 -> 8 [size =\"18664448\"]\n  5 -> 11 [size =\"18664448\"]\n  5 -> 13 [size =\"18664448\"]\n  6 [size=\"141892267\", alpha=\"0.04\", expect_size=\"42567680\"] \n  6 -> 9 [size =\"42567680\"]\n  6 -> 10 [size =\"42567680\"]\n  6 -> 11 [size =\"42567680\"]\n  7 [size=\"148398080\", alpha=\"0.13\", expect_size=\"44519424\"] \n  7 -> 15 [size =\"44519424\"]\n  7 -> 19 [size =\"44519424\"]\n  8 [size=\"145459200\", alpha=\"0.02\", expect_size=\"43637760\"] \n  8 -> 14 [size =\"43637760\"]\n  8 -> 20 [size =\"43637760\"]\n  9 [size=\"99597653\", alpha=\"0.18\", expect_size=\"29879296\"] \n  9 -> 16 [size =\"29879296\"]\n  9 -> 20 [size =\"29879296\"]\n  10 [size=\"110619307\", alpha=\"0.08\", expect_size=\"33185792\"] \n  10 -> 14 [size =\"33185792\"]\n  10 -> 17 [size =\"33185792\"]\n  10 -> 20 [size =\"33185792\"]\n  11 [size=\"30723413\", alpha=\"0.02\", expect_size=\"9217024\"] \n  11 -> 14 [size =\"9217024\"]\n  11 -> 15 [size =\"9217024\"]\n  11 -> 18 [size =\"9217024\"]\n  12 [size=\"143496533\", alpha=\"0.18\", expect_size=\"43048960\"] \n  12 -> 15 [size =\"43048960\"]\n  12 -> 20 [size =\"43048960\"]\n  13 [size=\"95071573\", alpha=\"0.19\", expect_size=\"28521472\"] \n  13 -> 17 [size =\"28521472\"]\n  13 -> 19 [size =\"28521472\"]\n  13 -> 20 [size =\"28521472\"]\n  14 [size=\"21101227\", alpha=\"0.17\", expect_size=\"6330368\"] \n  14 -> 24 [size =\"6330368\"]\n  15 [size=\"22794240\", alpha=\"0.10\", expect_size=\"6838272\"] \n  16 [size=\"41188693\", alpha=\"0.09\", expect_size=\"12356608\"] \n  16 -> 21 [size =\"12356608\"]\n  16 -> 23 [size =\"12356608\"]\n  17 [size=\"71072427\", alpha=\"0.13\", expect_size=\"21321728\"] \n  17 -> 21 [size =\"21321728\"]\n  17 -> 24 [size =\"21321728\"]\n  18 [size=\"170864640\", alpha=\"0.07\", expect_size=\"51259392\"] \n  18 -> 21 [size =\"51259392\"]\n  18 -> 23 [size =\"51259392\"]\n  18 -> 24 [size =\"51259392\"]\n  19 [size=\"25654613\", alpha=\"0.19\", expect_size=\"7696384\"] \n  19 -> 21 [size =\"7696384\"]\n  19 -> 23 [size =\"7696384\"]\n  19 -> 24 [size =\"7696384\"]\n  20 [size=\"165133653\", alpha=\"0.09\", expect_size=\"49540096\"] \n  20 -> 22 [size =\"49540096\"]\n  21 [size=\"71700480\", alpha=\"0.05\", expect_size=\"21510144\"] \n  21 -> 25 [size =\"21510144\"]\n  21 -> 26 [size =\"21510144\"]\n  21 -> 30 [size =\"21510144\"]\n  22 [size=\"87278933\", alpha=\"0.11\", expect_size=\"26183680\"] \n  22 -> 30 [size =\"26183680\"]\n  22 -> 31 [size =\"26183680\"]\n  23 [size=\"72086187\", alpha=\"0.07\", expect_size=\"21625856\"] \n  23 -> 26 [size =\"21625856\"]\n  23 -> 28 [size =\"21625856\"]\n  23 -> 29 [size =\"21625856\"]\n  23 -> 31 [size =\"21625856\"]\n  24 [size=\"67119787\", alpha=\"0.13\", expect_size=\"20135936\"] \n  24 -> 25 [size =\"20135936\"]\n  24 -> 26 [size =\"20135936\"]\n  24 -> 27 [size =\"20135936\"]\n  24 -> 29 [size =\"20135936\"]\n  25 [size=\"40178347\", alpha=\"0.04\", expect_size=\"12053504\"] \n  25 -> 33 [size =\"12053504\"]\n  25 -> 34 [size =\"12053504\"]\n  25 -> 35 [size =\"12053504\"]\n  26 [size=\"116097707\", alpha=\"0.11\", expect_size=\"34829312\"] \n  26 -> 32 [size =\"34829312\"]\n  26 -> 34 [size =\"34829312\"]\n  26 -> 35 [size =\"34829312\"]\n  26 -> 36 [size =\"34829312\"]\n  27 [size=\"32815787\", alpha=\"0.15\", expect_size=\"9844736\"] \n  27 -> 34 [size =\"9844736\"]\n  27 -> 35 [size =\"9844736\"]\n  28 [size=\"137898667\", alpha=\"0.15\", expect_size=\"41369600\"] \n  28 -> 32 [size =\"41369600\"]\n  28 -> 34 [size =\"41369600\"]\n  28 -> 37 [size =\"41369600\"]\n  29 [size=\"31907840\", alpha=\"0.05\", expect_size=\"9572352\"] \n  29 -> 32 [size =\"9572352\"]\n  30 [size=\"21323093\", alpha=\"0.07\", expect_size=\"6396928\"] \n  30 -> 32 [size =\"6396928\"]\n  30 -> 34 [size =\"6396928\"]\n  30 -> 36 [size =\"6396928\"]\n  31 [size=\"88726187\", alpha=\"0.11\", expect_size=\"26617856\"] \n  31 -> 36 [size =\"26617856\"]\n  32 [size=\"130112853\", alpha=\"0.11\", expect_size=\"39033856\"] \n  33 [size=\"58548907\", alpha=\"0.01\", expect_size=\"17564672\"] \n  33 -> 38 [size =\"17564672\"]\n  33 -> 39 [size =\"17564672\"]\n  34 [size=\"113732267\", alpha=\"0.12\", expect_size=\"34119680\"] \n  34 -> 38 [size =\"34119680\"]\n  34 -> 39 [size =\"34119680\"]\n  35 [size=\"55412053\", alpha=\"0.03\", expect_size=\"16623616\"] \n  35 -> 39 [size =\"16623616\"]\n  36 [size=\"85609813\", alpha=\"0.17\", expect_size=\"25682944\"] \n  36 -> 38 [size =\"25682944\"]\n  37 [size=\"171458560\", alpha=\"0.17\", expect_size=\"51437568\"] \n  37 -> 38 [size =\"51437568\"]\n  37 -> 39 [size =\"51437568\"]\n  37 -> 40 [size =\"51437568\"]\n  38 [size=\"129310720\", alpha=\"0.18\", expect_size=\"38793216\"] \n  39 [size=\"87145813\", alpha=\"0.19\", expect_size=\"26143744\"] \n  40 [size=\"127092053\", alpha=\"0.19\", expect_size=\"38127616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63586987\", alpha=\"0.14\", expect_size=\"19076096\"] \n  1 -> 2 [size =\"19076096\"]\n  2 [size=\"64566613\", alpha=\"0.15\", expect_size=\"19369984\"] \n  2 -> 3 [size =\"19369984\"]\n  3 [size=\"58699093\", alpha=\"0.03\", expect_size=\"17609728\"] \n  3 -> 4 [size =\"17609728\"]\n  4 [size=\"123753813\", alpha=\"0.09\", expect_size=\"37126144\"] \n  4 -> 5 [size =\"37126144\"]\n  5 [size=\"162290347\", alpha=\"0.14\", expect_size=\"48687104\"] \n  5 -> 6 [size =\"48687104\"]\n  6 [size=\"32146773\", alpha=\"0.07\", expect_size=\"9644032\"] \n  6 -> 7 [size =\"9644032\"]\n  7 [size=\"40526507\", alpha=\"0.03\", expect_size=\"12157952\"] \n  7 -> 8 [size =\"12157952\"]\n  8 [size=\"172933120\", alpha=\"0.15\", expect_size=\"51879936\"] \n  8 -> 9 [size =\"51879936\"]\n  9 [size=\"135697067\", alpha=\"0.02\", expect_size=\"40709120\"] \n  9 -> 10 [size =\"40709120\"]\n  10 [size=\"93440000\", alpha=\"0.08\", expect_size=\"28032000\"] \n  10 -> 11 [size =\"28032000\"]\n  11 [size=\"100355413\", alpha=\"0.04\", expect_size=\"30106624\"] \n  11 -> 12 [size =\"30106624\"]\n  12 [size=\"50387627\", alpha=\"0.02\", expect_size=\"15116288\"] \n  12 -> 13 [size =\"15116288\"]\n  13 [size=\"167198720\", alpha=\"0.07\", expect_size=\"50159616\"] \n  13 -> 14 [size =\"50159616\"]\n  14 [size=\"32853333\", alpha=\"0.05\", expect_size=\"9856000\"] \n  14 -> 15 [size =\"9856000\"]\n  15 [size=\"105465173\", alpha=\"0.17\", expect_size=\"31639552\"] \n  15 -> 16 [size =\"31639552\"]\n  16 [size=\"60173653\", alpha=\"0.15\", expect_size=\"18052096\"] \n  16 -> 17 [size =\"18052096\"]\n  17 [size=\"115749547\", alpha=\"0.14\", expect_size=\"34724864\"] \n  17 -> 18 [size =\"34724864\"]\n  18 [size=\"142148267\", alpha=\"0.12\", expect_size=\"42644480\"] \n  18 -> 19 [size =\"42644480\"]\n  19 [size=\"104802987\", alpha=\"0.03\", expect_size=\"31440896\"] \n  19 -> 20 [size =\"31440896\"]\n  20 [size=\"123859627\", alpha=\"0.13\", expect_size=\"37157888\"] \n  20 -> 21 [size =\"37157888\"]\n  21 [size=\"32085333\", alpha=\"0.08\", expect_size=\"9625600\"] \n  21 -> 22 [size =\"9625600\"]\n  22 [size=\"61583360\", alpha=\"0.10\", expect_size=\"18475008\"] \n  22 -> 23 [size =\"18475008\"]\n  23 [size=\"76919467\", alpha=\"0.16\", expect_size=\"23075840\"] \n  23 -> 24 [size =\"23075840\"]\n  24 [size=\"133044907\", alpha=\"0.16\", expect_size=\"39913472\"] \n  24 -> 25 [size =\"39913472\"]\n  25 [size=\"170912427\", alpha=\"0.15\", expect_size=\"51273728\"] \n  25 -> 26 [size =\"51273728\"]\n  26 [size=\"145920000\", alpha=\"0.15\", expect_size=\"43776000\"] \n  26 -> 27 [size =\"43776000\"]\n  27 [size=\"107578027\", alpha=\"0.18\", expect_size=\"32273408\"] \n  27 -> 28 [size =\"32273408\"]\n  28 [size=\"60173653\", alpha=\"0.01\", expect_size=\"18052096\"] \n  28 -> 29 [size =\"18052096\"]\n  29 [size=\"154395307\", alpha=\"0.19\", expect_size=\"46318592\"] \n  29 -> 30 [size =\"46318592\"]\n  30 [size=\"24572587\", alpha=\"0.07\", expect_size=\"7371776\"] \n  30 -> 31 [size =\"7371776\"]\n  31 [size=\"126395733\", alpha=\"0.05\", expect_size=\"37918720\"] \n  31 -> 32 [size =\"37918720\"]\n  32 [size=\"34116267\", alpha=\"0.08\", expect_size=\"10234880\"] \n  32 -> 33 [size =\"10234880\"]\n  33 [size=\"109400747\", alpha=\"0.09\", expect_size=\"32820224\"] \n  33 -> 34 [size =\"32820224\"]\n  34 [size=\"78899200\", alpha=\"0.13\", expect_size=\"23669760\"] \n  34 -> 35 [size =\"23669760\"]\n  35 [size=\"48889173\", alpha=\"0.07\", expect_size=\"14666752\"] \n  35 -> 36 [size =\"14666752\"]\n  36 [size=\"164191573\", alpha=\"0.08\", expect_size=\"49257472\"] \n  36 -> 37 [size =\"49257472\"]\n  37 [size=\"124904107\", alpha=\"0.00\", expect_size=\"37471232\"] \n  37 -> 38 [size =\"37471232\"]\n  38 [size=\"111363413\", alpha=\"0.09\", expect_size=\"33409024\"] \n  38 -> 39 [size =\"33409024\"]\n  39 [size=\"121739947\", alpha=\"0.08\", expect_size=\"36521984\"] \n  39 -> 40 [size =\"36521984\"]\n  40 [size=\"116974933\", alpha=\"0.01\", expect_size=\"35092480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41244160\", alpha=\"0.19\", expect_size=\"16497664\"] \n  1 -> 2 [size =\"16497664\"]\n  2 [size=\"18997760\", alpha=\"0.20\", expect_size=\"7599104\"] \n  2 -> 3 [size =\"7599104\"]\n  3 [size=\"64463360\", alpha=\"0.18\", expect_size=\"25785344\"] \n  3 -> 4 [size =\"25785344\"]\n  4 [size=\"41425920\", alpha=\"0.08\", expect_size=\"16570368\"] \n  4 -> 5 [size =\"16570368\"]\n  5 [size=\"83850240\", alpha=\"0.08\", expect_size=\"33540096\"] \n  5 -> 6 [size =\"33540096\"]\n  6 [size=\"100341760\", alpha=\"0.09\", expect_size=\"40136704\"] \n  6 -> 7 [size =\"40136704\"]\n  7 [size=\"36014080\", alpha=\"0.19\", expect_size=\"14405632\"] \n  7 -> 8 [size =\"14405632\"]\n  8 [size=\"105282560\", alpha=\"0.10\", expect_size=\"42113024\"] \n  8 -> 9 [size =\"42113024\"]\n  9 [size=\"60154880\", alpha=\"0.14\", expect_size=\"24061952\"] \n  9 -> 10 [size =\"24061952\"]\n  10 [size=\"122851840\", alpha=\"0.19\", expect_size=\"49140736\"] \n  10 -> 11 [size =\"49140736\"]\n  11 [size=\"118182400\", alpha=\"0.03\", expect_size=\"47272960\"] \n  11 -> 12 [size =\"47272960\"]\n  12 [size=\"109800960\", alpha=\"0.13\", expect_size=\"43920384\"] \n  12 -> 13 [size =\"43920384\"]\n  13 [size=\"107461120\", alpha=\"0.07\", expect_size=\"42984448\"] \n  13 -> 14 [size =\"42984448\"]\n  14 [size=\"98150400\", alpha=\"0.10\", expect_size=\"39260160\"] \n  14 -> 15 [size =\"39260160\"]\n  15 [size=\"26478080\", alpha=\"0.15\", expect_size=\"10591232\"] \n  15 -> 16 [size =\"10591232\"]\n  16 [size=\"73405440\", alpha=\"0.16\", expect_size=\"29362176\"] \n  16 -> 17 [size =\"29362176\"]\n  17 [size=\"129267200\", alpha=\"0.12\", expect_size=\"51706880\"] \n  17 -> 18 [size =\"51706880\"]\n  18 [size=\"121367040\", alpha=\"0.15\", expect_size=\"48546816\"] \n  18 -> 19 [size =\"48546816\"]\n  19 [size=\"62563840\", alpha=\"0.12\", expect_size=\"25025536\"] \n  19 -> 20 [size =\"25025536\"]\n  20 [size=\"27758080\", alpha=\"0.13\", expect_size=\"11103232\"] \n  20 -> 21 [size =\"11103232\"]\n  21 [size=\"20485120\", alpha=\"0.18\", expect_size=\"8194048\"] \n  21 -> 22 [size =\"8194048\"]\n  22 [size=\"40535040\", alpha=\"0.05\", expect_size=\"16214016\"] \n  22 -> 23 [size =\"16214016\"]\n  23 [size=\"116966400\", alpha=\"0.00\", expect_size=\"46786560\"] \n  23 -> 24 [size =\"46786560\"]\n  24 [size=\"39439360\", alpha=\"0.00\", expect_size=\"15775744\"] \n  24 -> 25 [size =\"15775744\"]\n  25 [size=\"97320960\", alpha=\"0.12\", expect_size=\"38928384\"] \n  25 -> 26 [size =\"38928384\"]\n  26 [size=\"69701120\", alpha=\"0.19\", expect_size=\"27880448\"] \n  26 -> 27 [size =\"27880448\"]\n  27 [size=\"48499200\", alpha=\"0.10\", expect_size=\"19399680\"] \n  27 -> 28 [size =\"19399680\"]\n  28 [size=\"118517760\", alpha=\"0.16\", expect_size=\"47407104\"] \n  28 -> 29 [size =\"47407104\"]\n  29 [size=\"87160320\", alpha=\"0.10\", expect_size=\"34864128\"] \n  29 -> 30 [size =\"34864128\"]\n  30 [size=\"40030720\", alpha=\"0.03\", expect_size=\"16012288\"] \n  30 -> 31 [size =\"16012288\"]\n  31 [size=\"115294720\", alpha=\"0.14\", expect_size=\"46117888\"] \n  31 -> 32 [size =\"46117888\"]\n  32 [size=\"105164800\", alpha=\"0.01\", expect_size=\"42065920\"] \n  32 -> 33 [size =\"42065920\"]\n  33 [size=\"15531520\", alpha=\"0.04\", expect_size=\"6212608\"] \n  33 -> 34 [size =\"6212608\"]\n  34 [size=\"15718400\", alpha=\"0.02\", expect_size=\"6287360\"] \n  34 -> 35 [size =\"6287360\"]\n  35 [size=\"16079360\", alpha=\"0.01\", expect_size=\"6431744\"] \n  35 -> 36 [size =\"6431744\"]\n  36 [size=\"87360000\", alpha=\"0.11\", expect_size=\"34944000\"] \n  36 -> 37 [size =\"34944000\"]\n  37 [size=\"80867840\", alpha=\"0.01\", expect_size=\"32347136\"] \n  37 -> 38 [size =\"32347136\"]\n  38 [size=\"19507200\", alpha=\"0.09\", expect_size=\"7802880\"] \n  38 -> 39 [size =\"7802880\"]\n  39 [size=\"113423360\", alpha=\"0.06\", expect_size=\"45369344\"] \n  39 -> 40 [size =\"45369344\"]\n  40 [size=\"55769600\", alpha=\"0.05\", expect_size=\"22307840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17492480\", alpha=\"0.00\", expect_size=\"6996992\"] \n  1 -> 8 [size =\"6996992\"]\n  1 -> 9 [size =\"6996992\"]\n  1 -> 12 [size =\"6996992\"]\n  2 [size=\"106165760\", alpha=\"0.07\", expect_size=\"42466304\"] \n  2 -> 6 [size =\"42466304\"]\n  2 -> 10 [size =\"42466304\"]\n  2 -> 11 [size =\"42466304\"]\n  3 [size=\"16665600\", alpha=\"0.02\", expect_size=\"6666240\"] \n  3 -> 7 [size =\"6666240\"]\n  3 -> 11 [size =\"6666240\"]\n  3 -> 12 [size =\"6666240\"]\n  4 [size=\"67863040\", alpha=\"0.05\", expect_size=\"27145216\"] \n  4 -> 7 [size =\"27145216\"]\n  4 -> 8 [size =\"27145216\"]\n  5 [size=\"85025280\", alpha=\"0.11\", expect_size=\"34010112\"] \n  5 -> 6 [size =\"34010112\"]\n  5 -> 9 [size =\"34010112\"]\n  5 -> 10 [size =\"34010112\"]\n  5 -> 12 [size =\"34010112\"]\n  6 [size=\"41402880\", alpha=\"0.05\", expect_size=\"16561152\"] \n  6 -> 13 [size =\"16561152\"]\n  7 [size=\"70433280\", alpha=\"0.18\", expect_size=\"28173312\"] \n  7 -> 13 [size =\"28173312\"]\n  8 [size=\"22092800\", alpha=\"0.05\", expect_size=\"8837120\"] \n  9 [size=\"14208000\", alpha=\"0.15\", expect_size=\"5683200\"] \n  9 -> 16 [size =\"5683200\"]\n  10 [size=\"14307840\", alpha=\"0.09\", expect_size=\"5723136\"] \n  10 -> 15 [size =\"5723136\"]\n  11 [size=\"87170560\", alpha=\"0.03\", expect_size=\"34868224\"] \n  11 -> 16 [size =\"34868224\"]\n  12 [size=\"88890880\", alpha=\"0.16\", expect_size=\"35556352\"] \n  12 -> 13 [size =\"35556352\"]\n  12 -> 14 [size =\"35556352\"]\n  12 -> 16 [size =\"35556352\"]\n  13 [size=\"129845760\", alpha=\"0.02\", expect_size=\"51938304\"] \n  13 -> 20 [size =\"51938304\"]\n  14 [size=\"20994560\", alpha=\"0.16\", expect_size=\"8397824\"] \n  14 -> 17 [size =\"8397824\"]\n  15 [size=\"53283840\", alpha=\"0.05\", expect_size=\"21313536\"] \n  15 -> 18 [size =\"21313536\"]\n  15 -> 19 [size =\"21313536\"]\n  16 [size=\"115796480\", alpha=\"0.07\", expect_size=\"46318592\"] \n  16 -> 19 [size =\"46318592\"]\n  16 -> 21 [size =\"46318592\"]\n  17 [size=\"25530880\", alpha=\"0.04\", expect_size=\"10212352\"] \n  17 -> 22 [size =\"10212352\"]\n  17 -> 25 [size =\"10212352\"]\n  18 [size=\"13844480\", alpha=\"0.10\", expect_size=\"5537792\"] \n  18 -> 22 [size =\"5537792\"]\n  18 -> 23 [size =\"5537792\"]\n  18 -> 25 [size =\"5537792\"]\n  19 [size=\"45235200\", alpha=\"0.19\", expect_size=\"18094080\"] \n  19 -> 22 [size =\"18094080\"]\n  19 -> 24 [size =\"18094080\"]\n  20 [size=\"17472000\", alpha=\"0.15\", expect_size=\"6988800\"] \n  20 -> 23 [size =\"6988800\"]\n  21 [size=\"68469760\", alpha=\"0.12\", expect_size=\"27387904\"] \n  21 -> 23 [size =\"27387904\"]\n  21 -> 25 [size =\"27387904\"]\n  22 [size=\"88381440\", alpha=\"0.04\", expect_size=\"35352576\"] \n  22 -> 26 [size =\"35352576\"]\n  23 [size=\"62743040\", alpha=\"0.18\", expect_size=\"25097216\"] \n  23 -> 26 [size =\"25097216\"]\n  23 -> 29 [size =\"25097216\"]\n  23 -> 30 [size =\"25097216\"]\n  24 [size=\"73003520\", alpha=\"0.00\", expect_size=\"29201408\"] \n  24 -> 27 [size =\"29201408\"]\n  25 [size=\"46758400\", alpha=\"0.15\", expect_size=\"18703360\"] \n  25 -> 28 [size =\"18703360\"]\n  25 -> 29 [size =\"18703360\"]\n  25 -> 30 [size =\"18703360\"]\n  26 [size=\"75619840\", alpha=\"0.14\", expect_size=\"30247936\"] \n  26 -> 31 [size =\"30247936\"]\n  26 -> 33 [size =\"30247936\"]\n  26 -> 34 [size =\"30247936\"]\n  26 -> 35 [size =\"30247936\"]\n  26 -> 36 [size =\"30247936\"]\n  27 [size=\"115975680\", alpha=\"0.03\", expect_size=\"46390272\"] \n  27 -> 32 [size =\"46390272\"]\n  27 -> 34 [size =\"46390272\"]\n  28 [size=\"19880960\", alpha=\"0.14\", expect_size=\"7952384\"] \n  28 -> 34 [size =\"7952384\"]\n  29 [size=\"78988800\", alpha=\"0.05\", expect_size=\"31595520\"] \n  30 [size=\"73164800\", alpha=\"0.16\", expect_size=\"29265920\"] \n  30 -> 31 [size =\"29265920\"]\n  30 -> 36 [size =\"29265920\"]\n  31 [size=\"44113920\", alpha=\"0.20\", expect_size=\"17645568\"] \n  32 [size=\"114191360\", alpha=\"0.16\", expect_size=\"45676544\"] \n  33 [size=\"22561280\", alpha=\"0.13\", expect_size=\"9024512\"] \n  33 -> 38 [size =\"9024512\"]\n  33 -> 39 [size =\"9024512\"]\n  34 [size=\"126679040\", alpha=\"0.10\", expect_size=\"50671616\"] \n  34 -> 38 [size =\"50671616\"]\n  35 [size=\"127406080\", alpha=\"0.15\", expect_size=\"50962432\"] \n  35 -> 38 [size =\"50962432\"]\n  35 -> 39 [size =\"50962432\"]\n  36 [size=\"96660480\", alpha=\"0.16\", expect_size=\"38664192\"] \n  36 -> 37 [size =\"38664192\"]\n  36 -> 40 [size =\"38664192\"]\n  37 [size=\"62740480\", alpha=\"0.00\", expect_size=\"25096192\"] \n  38 [size=\"82974720\", alpha=\"0.05\", expect_size=\"33189888\"] \n  39 [size=\"48381440\", alpha=\"0.14\", expect_size=\"19352576\"] \n  40 [size=\"78031360\", alpha=\"0.04\", expect_size=\"31212544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39905280\", alpha=\"0.01\", expect_size=\"11971584\"] \n  1 -> 7 [size =\"11971584\"]\n  1 -> 8 [size =\"11971584\"]\n  1 -> 11 [size =\"11971584\"]\n  2 [size=\"34205013\", alpha=\"0.09\", expect_size=\"10261504\"] \n  2 -> 7 [size =\"10261504\"]\n  2 -> 11 [size =\"10261504\"]\n  3 [size=\"18452480\", alpha=\"0.19\", expect_size=\"5535744\"] \n  3 -> 7 [size =\"5535744\"]\n  4 [size=\"93689173\", alpha=\"0.12\", expect_size=\"28106752\"] \n  4 -> 11 [size =\"28106752\"]\n  5 [size=\"56029867\", alpha=\"0.09\", expect_size=\"16808960\"] \n  5 -> 8 [size =\"16808960\"]\n  5 -> 9 [size =\"16808960\"]\n  5 -> 10 [size =\"16808960\"]\n  5 -> 11 [size =\"16808960\"]\n  5 -> 12 [size =\"16808960\"]\n  6 [size=\"170280960\", alpha=\"0.04\", expect_size=\"51084288\"] \n  6 -> 8 [size =\"51084288\"]\n  6 -> 10 [size =\"51084288\"]\n  7 [size=\"157982720\", alpha=\"0.01\", expect_size=\"47394816\"] \n  7 -> 13 [size =\"47394816\"]\n  7 -> 17 [size =\"47394816\"]\n  8 [size=\"125972480\", alpha=\"0.13\", expect_size=\"37791744\"] \n  8 -> 13 [size =\"37791744\"]\n  8 -> 15 [size =\"37791744\"]\n  8 -> 17 [size =\"37791744\"]\n  9 [size=\"87756800\", alpha=\"0.16\", expect_size=\"26327040\"] \n  9 -> 13 [size =\"26327040\"]\n  9 -> 14 [size =\"26327040\"]\n  9 -> 16 [size =\"26327040\"]\n  10 [size=\"145339733\", alpha=\"0.03\", expect_size=\"43601920\"] \n  10 -> 13 [size =\"43601920\"]\n  10 -> 14 [size =\"43601920\"]\n  10 -> 16 [size =\"43601920\"]\n  10 -> 17 [size =\"43601920\"]\n  11 [size=\"20186453\", alpha=\"0.01\", expect_size=\"6055936\"] \n  11 -> 14 [size =\"6055936\"]\n  11 -> 16 [size =\"6055936\"]\n  12 [size=\"24791040\", alpha=\"0.09\", expect_size=\"7437312\"] \n  12 -> 14 [size =\"7437312\"]\n  12 -> 17 [size =\"7437312\"]\n  13 [size=\"94853120\", alpha=\"0.04\", expect_size=\"28455936\"] \n  13 -> 20 [size =\"28455936\"]\n  14 [size=\"84456107\", alpha=\"0.05\", expect_size=\"25336832\"] \n  14 -> 19 [size =\"25336832\"]\n  14 -> 21 [size =\"25336832\"]\n  15 [size=\"19841707\", alpha=\"0.06\", expect_size=\"5952512\"] \n  15 -> 18 [size =\"5952512\"]\n  15 -> 21 [size =\"5952512\"]\n  16 [size=\"86739627\", alpha=\"0.17\", expect_size=\"26021888\"] \n  16 -> 19 [size =\"26021888\"]\n  16 -> 21 [size =\"26021888\"]\n  17 [size=\"115148800\", alpha=\"0.11\", expect_size=\"34544640\"] \n  17 -> 20 [size =\"34544640\"]\n  17 -> 21 [size =\"34544640\"]\n  18 [size=\"126160213\", alpha=\"0.02\", expect_size=\"37848064\"] \n  18 -> 22 [size =\"37848064\"]\n  18 -> 23 [size =\"37848064\"]\n  18 -> 26 [size =\"37848064\"]\n  19 [size=\"70785707\", alpha=\"0.17\", expect_size=\"21235712\"] \n  19 -> 23 [size =\"21235712\"]\n  20 [size=\"36461227\", alpha=\"0.08\", expect_size=\"10938368\"] \n  20 -> 22 [size =\"10938368\"]\n  20 -> 24 [size =\"10938368\"]\n  20 -> 25 [size =\"10938368\"]\n  21 [size=\"62487893\", alpha=\"0.02\", expect_size=\"18746368\"] \n  22 [size=\"72553813\", alpha=\"0.18\", expect_size=\"21766144\"] \n  22 -> 27 [size =\"21766144\"]\n  22 -> 28 [size =\"21766144\"]\n  22 -> 30 [size =\"21766144\"]\n  23 [size=\"146739200\", alpha=\"0.14\", expect_size=\"44021760\"] \n  23 -> 28 [size =\"44021760\"]\n  23 -> 29 [size =\"44021760\"]\n  23 -> 30 [size =\"44021760\"]\n  23 -> 31 [size =\"44021760\"]\n  24 [size=\"18496853\", alpha=\"0.19\", expect_size=\"5549056\"] \n  24 -> 29 [size =\"5549056\"]\n  24 -> 31 [size =\"5549056\"]\n  24 -> 32 [size =\"5549056\"]\n  24 -> 33 [size =\"5549056\"]\n  25 [size=\"57664853\", alpha=\"0.10\", expect_size=\"17299456\"] \n  25 -> 30 [size =\"17299456\"]\n  25 -> 33 [size =\"17299456\"]\n  26 [size=\"106373120\", alpha=\"0.00\", expect_size=\"31911936\"] \n  26 -> 29 [size =\"31911936\"]\n  26 -> 32 [size =\"31911936\"]\n  26 -> 33 [size =\"31911936\"]\n  27 [size=\"82561707\", alpha=\"0.08\", expect_size=\"24768512\"] \n  27 -> 35 [size =\"24768512\"]\n  27 -> 36 [size =\"24768512\"]\n  27 -> 37 [size =\"24768512\"]\n  27 -> 38 [size =\"24768512\"]\n  28 [size=\"170960213\", alpha=\"0.10\", expect_size=\"51288064\"] \n  28 -> 38 [size =\"51288064\"]\n  29 [size=\"27067733\", alpha=\"0.01\", expect_size=\"8120320\"] \n  30 [size=\"159696213\", alpha=\"0.08\", expect_size=\"47908864\"] \n  30 -> 36 [size =\"47908864\"]\n  31 [size=\"64003413\", alpha=\"0.15\", expect_size=\"19201024\"] \n  31 -> 36 [size =\"19201024\"]\n  32 [size=\"76994560\", alpha=\"0.03\", expect_size=\"23098368\"] \n  32 -> 34 [size =\"23098368\"]\n  33 [size=\"58112000\", alpha=\"0.01\", expect_size=\"17433600\"] \n  33 -> 35 [size =\"17433600\"]\n  34 [size=\"165621760\", alpha=\"0.08\", expect_size=\"49686528\"] \n  34 -> 39 [size =\"49686528\"]\n  34 -> 40 [size =\"49686528\"]\n  35 [size=\"161163947\", alpha=\"0.15\", expect_size=\"48349184\"] \n  35 -> 39 [size =\"48349184\"]\n  36 [size=\"83295573\", alpha=\"0.10\", expect_size=\"24988672\"] \n  37 [size=\"84821333\", alpha=\"0.18\", expect_size=\"25446400\"] \n  37 -> 39 [size =\"25446400\"]\n  38 [size=\"148961280\", alpha=\"0.00\", expect_size=\"44688384\"] \n  39 [size=\"69645653\", alpha=\"0.09\", expect_size=\"20893696\"] \n  40 [size=\"74437973\", alpha=\"0.00\", expect_size=\"22331392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121879040\", alpha=\"0.19\", expect_size=\"48751616\"] \n  1 -> 3 [size =\"48751616\"]\n  1 -> 5 [size =\"48751616\"]\n  2 [size=\"100971520\", alpha=\"0.08\", expect_size=\"40388608\"] \n  2 -> 4 [size =\"40388608\"]\n  3 [size=\"39784960\", alpha=\"0.08\", expect_size=\"15913984\"] \n  4 [size=\"73751040\", alpha=\"0.15\", expect_size=\"29500416\"] \n  5 [size=\"18114560\", alpha=\"0.08\", expect_size=\"7245824\"] \n  5 -> 6 [size =\"7245824\"]\n  6 [size=\"32020480\", alpha=\"0.09\", expect_size=\"12808192\"] \n  6 -> 7 [size =\"12808192\"]\n  6 -> 8 [size =\"12808192\"]\n  7 [size=\"78387200\", alpha=\"0.10\", expect_size=\"31354880\"] \n  8 [size=\"93058560\", alpha=\"0.11\", expect_size=\"37223424\"] \n  8 -> 9 [size =\"37223424\"]\n  9 [size=\"90201600\", alpha=\"0.06\", expect_size=\"36080640\"] \n  9 -> 10 [size =\"36080640\"]\n  9 -> 11 [size =\"36080640\"]\n  10 [size=\"79390720\", alpha=\"0.04\", expect_size=\"31756288\"] \n  10 -> 12 [size =\"31756288\"]\n  10 -> 13 [size =\"31756288\"]\n  11 [size=\"36124160\", alpha=\"0.14\", expect_size=\"14449664\"] \n  11 -> 14 [size =\"14449664\"]\n  12 [size=\"27520000\", alpha=\"0.15\", expect_size=\"11008000\"] \n  12 -> 15 [size =\"11008000\"]\n  13 [size=\"74245120\", alpha=\"0.11\", expect_size=\"29698048\"] \n  14 [size=\"121269760\", alpha=\"0.08\", expect_size=\"48507904\"] \n  15 [size=\"93363200\", alpha=\"0.09\", expect_size=\"37345280\"] \n  15 -> 16 [size =\"37345280\"]\n  16 [size=\"24988160\", alpha=\"0.19\", expect_size=\"9995264\"] \n  16 -> 17 [size =\"9995264\"]\n  16 -> 18 [size =\"9995264\"]\n  16 -> 19 [size =\"9995264\"]\n  17 [size=\"76800000\", alpha=\"0.19\", expect_size=\"30720000\"] \n  18 [size=\"16496640\", alpha=\"0.15\", expect_size=\"6598656\"] \n  18 -> 20 [size =\"6598656\"]\n  19 [size=\"82818560\", alpha=\"0.13\", expect_size=\"33127424\"] \n  20 [size=\"116769280\", alpha=\"0.07\", expect_size=\"46707712\"] \n  20 -> 21 [size =\"46707712\"]\n  20 -> 22 [size =\"46707712\"]\n  20 -> 23 [size =\"46707712\"]\n  20 -> 24 [size =\"46707712\"]\n  21 [size=\"20659200\", alpha=\"0.19\", expect_size=\"8263680\"] \n  21 -> 25 [size =\"8263680\"]\n  22 [size=\"102999040\", alpha=\"0.06\", expect_size=\"41199616\"] \n  22 -> 25 [size =\"41199616\"]\n  23 [size=\"76328960\", alpha=\"0.17\", expect_size=\"30531584\"] \n  24 [size=\"23516160\", alpha=\"0.19\", expect_size=\"9406464\"] \n  25 [size=\"70118400\", alpha=\"0.02\", expect_size=\"28047360\"] \n  25 -> 26 [size =\"28047360\"]\n  25 -> 27 [size =\"28047360\"]\n  25 -> 28 [size =\"28047360\"]\n  26 [size=\"126136320\", alpha=\"0.08\", expect_size=\"50454528\"] \n  26 -> 30 [size =\"50454528\"]\n  26 -> 32 [size =\"50454528\"]\n  27 [size=\"120240640\", alpha=\"0.04\", expect_size=\"48096256\"] \n  27 -> 31 [size =\"48096256\"]\n  27 -> 32 [size =\"48096256\"]\n  28 [size=\"115548160\", alpha=\"0.15\", expect_size=\"46219264\"] \n  28 -> 29 [size =\"46219264\"]\n  28 -> 30 [size =\"46219264\"]\n  28 -> 31 [size =\"46219264\"]\n  29 [size=\"86208000\", alpha=\"0.18\", expect_size=\"34483200\"] \n  29 -> 34 [size =\"34483200\"]\n  30 [size=\"46471680\", alpha=\"0.13\", expect_size=\"18588672\"] \n  31 [size=\"87063040\", alpha=\"0.12\", expect_size=\"34825216\"] \n  31 -> 35 [size =\"34825216\"]\n  32 [size=\"80829440\", alpha=\"0.13\", expect_size=\"32331776\"] \n  32 -> 33 [size =\"32331776\"]\n  33 [size=\"115630080\", alpha=\"0.04\", expect_size=\"46252032\"] \n  33 -> 37 [size =\"46252032\"]\n  33 -> 38 [size =\"46252032\"]\n  33 -> 39 [size =\"46252032\"]\n  34 [size=\"100180480\", alpha=\"0.14\", expect_size=\"40072192\"] \n  34 -> 36 [size =\"40072192\"]\n  34 -> 37 [size =\"40072192\"]\n  34 -> 38 [size =\"40072192\"]\n  35 [size=\"95127040\", alpha=\"0.18\", expect_size=\"38050816\"] \n  36 [size=\"105479680\", alpha=\"0.03\", expect_size=\"42191872\"] \n  37 [size=\"32184320\", alpha=\"0.19\", expect_size=\"12873728\"] \n  38 [size=\"58490880\", alpha=\"0.16\", expect_size=\"23396352\"] \n  39 [size=\"28418560\", alpha=\"0.05\", expect_size=\"11367424\"] \n  39 -> 40 [size =\"11367424\"]\n  40 [size=\"19064320\", alpha=\"0.11\", expect_size=\"7625728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53977600\", alpha=\"0.15\", expect_size=\"21591040\"] \n  1 -> 32 [size =\"21591040\"]\n  1 -> 34 [size =\"21591040\"]\n  1 -> 40 [size =\"21591040\"]\n  2 [size=\"41341440\", alpha=\"0.16\", expect_size=\"16536576\"] \n  2 -> 34 [size =\"16536576\"]\n  2 -> 37 [size =\"16536576\"]\n  2 -> 38 [size =\"16536576\"]\n  3 [size=\"103027200\", alpha=\"0.11\", expect_size=\"41210880\"] \n  3 -> 34 [size =\"41210880\"]\n  3 -> 38 [size =\"41210880\"]\n  4 [size=\"65057280\", alpha=\"0.01\", expect_size=\"26022912\"] \n  4 -> 34 [size =\"26022912\"]\n  4 -> 36 [size =\"26022912\"]\n  5 [size=\"72266240\", alpha=\"0.16\", expect_size=\"28906496\"] \n  5 -> 38 [size =\"28906496\"]\n  5 -> 40 [size =\"28906496\"]\n  6 [size=\"16335360\", alpha=\"0.09\", expect_size=\"6534144\"] \n  6 -> 34 [size =\"6534144\"]\n  6 -> 36 [size =\"6534144\"]\n  6 -> 40 [size =\"6534144\"]\n  7 [size=\"61084160\", alpha=\"0.17\", expect_size=\"24433664\"] \n  7 -> 33 [size =\"24433664\"]\n  7 -> 34 [size =\"24433664\"]\n  7 -> 40 [size =\"24433664\"]\n  8 [size=\"99660800\", alpha=\"0.13\", expect_size=\"39864320\"] \n  8 -> 34 [size =\"39864320\"]\n  8 -> 34 [size =\"39864320\"]\n  8 -> 36 [size =\"39864320\"]\n  8 -> 37 [size =\"39864320\"]\n  8 -> 38 [size =\"39864320\"]\n  9 [size=\"52810240\", alpha=\"0.06\", expect_size=\"21124096\"] \n  9 -> 33 [size =\"21124096\"]\n  9 -> 40 [size =\"21124096\"]\n  10 [size=\"112862720\", alpha=\"0.02\", expect_size=\"45145088\"] \n  10 -> 39 [size =\"45145088\"]\n  11 [size=\"64325120\", alpha=\"0.17\", expect_size=\"25730048\"] \n  11 -> 35 [size =\"25730048\"]\n  11 -> 39 [size =\"25730048\"]\n  12 [size=\"33728000\", alpha=\"0.10\", expect_size=\"13491200\"] \n  12 -> 34 [size =\"13491200\"]\n  12 -> 37 [size =\"13491200\"]\n  12 -> 38 [size =\"13491200\"]\n  12 -> 39 [size =\"13491200\"]\n  13 [size=\"128348160\", alpha=\"0.01\", expect_size=\"51339264\"] \n  13 -> 37 [size =\"51339264\"]\n  14 [size=\"76160000\", alpha=\"0.16\", expect_size=\"30464000\"] \n  14 -> 37 [size =\"30464000\"]\n  15 [size=\"83279360\", alpha=\"0.09\", expect_size=\"33311744\"] \n  15 -> 34 [size =\"33311744\"]\n  16 [size=\"60966400\", alpha=\"0.18\", expect_size=\"24386560\"] \n  16 -> 34 [size =\"24386560\"]\n  16 -> 36 [size =\"24386560\"]\n  16 -> 40 [size =\"24386560\"]\n  17 [size=\"111636480\", alpha=\"0.12\", expect_size=\"44654592\"] \n  17 -> 36 [size =\"44654592\"]\n  17 -> 40 [size =\"44654592\"]\n  18 [size=\"94069760\", alpha=\"0.12\", expect_size=\"37627904\"] \n  18 -> 36 [size =\"37627904\"]\n  18 -> 38 [size =\"37627904\"]\n  19 [size=\"54382080\", alpha=\"0.15\", expect_size=\"21752832\"] \n  20 [size=\"87938560\", alpha=\"0.11\", expect_size=\"35175424\"] \n  20 -> 36 [size =\"35175424\"]\n  21 [size=\"97978880\", alpha=\"0.13\", expect_size=\"39191552\"] \n  21 -> 34 [size =\"39191552\"]\n  21 -> 35 [size =\"39191552\"]\n  22 [size=\"82214400\", alpha=\"0.01\", expect_size=\"32885760\"] \n  23 [size=\"20956160\", alpha=\"0.04\", expect_size=\"8382464\"] \n  23 -> 34 [size =\"8382464\"]\n  23 -> 37 [size =\"8382464\"]\n  23 -> 38 [size =\"8382464\"]\n  24 [size=\"27901440\", alpha=\"0.15\", expect_size=\"11160576\"] \n  24 -> 33 [size =\"11160576\"]\n  24 -> 34 [size =\"11160576\"]\n  24 -> 35 [size =\"11160576\"]\n  25 [size=\"120081920\", alpha=\"0.17\", expect_size=\"48032768\"] \n  25 -> 34 [size =\"48032768\"]\n  25 -> 36 [size =\"48032768\"]\n  26 [size=\"52643840\", alpha=\"0.19\", expect_size=\"21057536\"] \n  26 -> 35 [size =\"21057536\"]\n  27 [size=\"40453120\", alpha=\"0.09\", expect_size=\"16181248\"] \n  27 -> 34 [size =\"16181248\"]\n  27 -> 35 [size =\"16181248\"]\n  27 -> 39 [size =\"16181248\"]\n  28 [size=\"109655040\", alpha=\"0.14\", expect_size=\"43862016\"] \n  28 -> 35 [size =\"43862016\"]\n  28 -> 37 [size =\"43862016\"]\n  28 -> 40 [size =\"43862016\"]\n  29 [size=\"63595520\", alpha=\"0.06\", expect_size=\"25438208\"] \n  29 -> 33 [size =\"25438208\"]\n  29 -> 36 [size =\"25438208\"]\n  29 -> 38 [size =\"25438208\"]\n  30 [size=\"33320960\", alpha=\"0.15\", expect_size=\"13328384\"] \n  30 -> 32 [size =\"13328384\"]\n  30 -> 33 [size =\"13328384\"]\n  30 -> 34 [size =\"13328384\"]\n  30 -> 38 [size =\"13328384\"]\n  30 -> 40 [size =\"13328384\"]\n  31 [size=\"96238080\", alpha=\"0.12\", expect_size=\"38495232\"] \n  31 -> 32 [size =\"38495232\"]\n  31 -> 34 [size =\"38495232\"]\n  31 -> 38 [size =\"38495232\"]\n  31 -> 40 [size =\"38495232\"]\n  32 [size=\"57282560\", alpha=\"0.13\", expect_size=\"22913024\"] \n  33 [size=\"62658560\", alpha=\"0.13\", expect_size=\"25063424\"] \n  34 [size=\"84318720\", alpha=\"0.04\", expect_size=\"33727488\"] \n  35 [size=\"56253440\", alpha=\"0.07\", expect_size=\"22501376\"] \n  36 [size=\"37624320\", alpha=\"0.18\", expect_size=\"15049728\"] \n  37 [size=\"31654400\", alpha=\"0.06\", expect_size=\"12661760\"] \n  38 [size=\"86328320\", alpha=\"0.07\", expect_size=\"34531328\"] \n  39 [size=\"52267520\", alpha=\"0.15\", expect_size=\"20907008\"] \n  40 [size=\"87142400\", alpha=\"0.17\", expect_size=\"34856960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26267648\", alpha=\"0.07\", expect_size=\"13133824\"] \n  1 -> 3 [size =\"13133824\"]\n  2 [size=\"80781312\", alpha=\"0.16\", expect_size=\"40390656\"] \n  2 -> 3 [size =\"40390656\"]\n  2 -> 4 [size =\"40390656\"]\n  3 [size=\"33755136\", alpha=\"0.19\", expect_size=\"16877568\"] \n  3 -> 5 [size =\"16877568\"]\n  3 -> 6 [size =\"16877568\"]\n  4 [size=\"20844544\", alpha=\"0.10\", expect_size=\"10422272\"] \n  4 -> 5 [size =\"10422272\"]\n  4 -> 6 [size =\"10422272\"]\n  5 [size=\"53354496\", alpha=\"0.20\", expect_size=\"26677248\"] \n  5 -> 7 [size =\"26677248\"]\n  6 [size=\"54665216\", alpha=\"0.09\", expect_size=\"27332608\"] \n  6 -> 8 [size =\"27332608\"]\n  7 [size=\"94025728\", alpha=\"0.02\", expect_size=\"47012864\"] \n  7 -> 9 [size =\"47012864\"]\n  7 -> 10 [size =\"47012864\"]\n  7 -> 11 [size =\"47012864\"]\n  8 [size=\"30889984\", alpha=\"0.10\", expect_size=\"15444992\"] \n  8 -> 9 [size =\"15444992\"]\n  8 -> 11 [size =\"15444992\"]\n  9 [size=\"100812800\", alpha=\"0.05\", expect_size=\"50406400\"] \n  9 -> 13 [size =\"50406400\"]\n  10 [size=\"55248896\", alpha=\"0.14\", expect_size=\"27624448\"] \n  10 -> 12 [size =\"27624448\"]\n  11 [size=\"13389824\", alpha=\"0.15\", expect_size=\"6694912\"] \n  11 -> 13 [size =\"6694912\"]\n  11 -> 14 [size =\"6694912\"]\n  12 [size=\"45766656\", alpha=\"0.06\", expect_size=\"22883328\"] \n  12 -> 15 [size =\"22883328\"]\n  12 -> 16 [size =\"22883328\"]\n  13 [size=\"25421824\", alpha=\"0.05\", expect_size=\"12710912\"] \n  14 [size=\"22149120\", alpha=\"0.10\", expect_size=\"11074560\"] \n  14 -> 15 [size =\"11074560\"]\n  14 -> 16 [size =\"11074560\"]\n  15 [size=\"69777408\", alpha=\"0.19\", expect_size=\"34888704\"] \n  15 -> 17 [size =\"34888704\"]\n  16 [size=\"69588992\", alpha=\"0.17\", expect_size=\"34794496\"] \n  16 -> 18 [size =\"34794496\"]\n  17 [size=\"17225728\", alpha=\"0.06\", expect_size=\"8612864\"] \n  17 -> 20 [size =\"8612864\"]\n  18 [size=\"28620800\", alpha=\"0.03\", expect_size=\"14310400\"] \n  18 -> 19 [size =\"14310400\"]\n  19 [size=\"74651648\", alpha=\"0.12\", expect_size=\"37325824\"] \n  19 -> 21 [size =\"37325824\"]\n  19 -> 23 [size =\"37325824\"]\n  20 [size=\"97748992\", alpha=\"0.14\", expect_size=\"48874496\"] \n  20 -> 22 [size =\"48874496\"]\n  21 [size=\"71434240\", alpha=\"0.19\", expect_size=\"35717120\"] \n  21 -> 24 [size =\"35717120\"]\n  21 -> 25 [size =\"35717120\"]\n  22 [size=\"49485824\", alpha=\"0.19\", expect_size=\"24742912\"] \n  22 -> 26 [size =\"24742912\"]\n  23 [size=\"78534656\", alpha=\"0.04\", expect_size=\"39267328\"] \n  23 -> 25 [size =\"39267328\"]\n  23 -> 26 [size =\"39267328\"]\n  24 [size=\"104108032\", alpha=\"0.11\", expect_size=\"52054016\"] \n  24 -> 27 [size =\"52054016\"]\n  25 [size=\"58085376\", alpha=\"0.08\", expect_size=\"29042688\"] \n  25 -> 27 [size =\"29042688\"]\n  25 -> 28 [size =\"29042688\"]\n  26 [size=\"55115776\", alpha=\"0.13\", expect_size=\"27557888\"] \n  26 -> 29 [size =\"27557888\"]\n  27 [size=\"39700480\", alpha=\"0.17\", expect_size=\"19850240\"] \n  27 -> 30 [size =\"19850240\"]\n  27 -> 31 [size =\"19850240\"]\n  28 [size=\"68976640\", alpha=\"0.04\", expect_size=\"34488320\"] \n  28 -> 32 [size =\"34488320\"]\n  29 [size=\"85209088\", alpha=\"0.11\", expect_size=\"42604544\"] \n  29 -> 31 [size =\"42604544\"]\n  30 [size=\"47994880\", alpha=\"0.08\", expect_size=\"23997440\"] \n  30 -> 33 [size =\"23997440\"]\n  30 -> 34 [size =\"23997440\"]\n  30 -> 35 [size =\"23997440\"]\n  31 [size=\"19451904\", alpha=\"0.04\", expect_size=\"9725952\"] \n  31 -> 35 [size =\"9725952\"]\n  32 [size=\"15362048\", alpha=\"0.09\", expect_size=\"7681024\"] \n  32 -> 33 [size =\"7681024\"]\n  33 [size=\"11651072\", alpha=\"0.16\", expect_size=\"5825536\"] \n  33 -> 36 [size =\"5825536\"]\n  34 [size=\"31588352\", alpha=\"0.07\", expect_size=\"15794176\"] \n  35 [size=\"85534720\", alpha=\"0.09\", expect_size=\"42767360\"] \n  35 -> 37 [size =\"42767360\"]\n  36 [size=\"27615232\", alpha=\"0.04\", expect_size=\"13807616\"] \n  36 -> 38 [size =\"13807616\"]\n  36 -> 39 [size =\"13807616\"]\n  36 -> 40 [size =\"13807616\"]\n  37 [size=\"90755072\", alpha=\"0.01\", expect_size=\"45377536\"] \n  37 -> 38 [size =\"45377536\"]\n  37 -> 40 [size =\"45377536\"]\n  38 [size=\"75380736\", alpha=\"0.01\", expect_size=\"37690368\"] \n  39 [size=\"96264192\", alpha=\"0.15\", expect_size=\"48132096\"] \n  40 [size=\"54996992\", alpha=\"0.08\", expect_size=\"27498496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25842347\", alpha=\"0.09\", expect_size=\"7752704\"] \n  1 -> 38 [size =\"7752704\"]\n  1 -> 40 [size =\"7752704\"]\n  2 [size=\"36061867\", alpha=\"0.20\", expect_size=\"10818560\"] \n  2 -> 38 [size =\"10818560\"]\n  2 -> 40 [size =\"10818560\"]\n  3 [size=\"171472213\", alpha=\"0.12\", expect_size=\"51441664\"] \n  3 -> 36 [size =\"51441664\"]\n  3 -> 39 [size =\"51441664\"]\n  3 -> 40 [size =\"51441664\"]\n  4 [size=\"109028693\", alpha=\"0.05\", expect_size=\"32708608\"] \n  4 -> 36 [size =\"32708608\"]\n  4 -> 37 [size =\"32708608\"]\n  4 -> 38 [size =\"32708608\"]\n  4 -> 39 [size =\"32708608\"]\n  4 -> 40 [size =\"32708608\"]\n  5 [size=\"168649387\", alpha=\"0.11\", expect_size=\"50594816\"] \n  5 -> 36 [size =\"50594816\"]\n  5 -> 37 [size =\"50594816\"]\n  5 -> 38 [size =\"50594816\"]\n  5 -> 39 [size =\"50594816\"]\n  5 -> 40 [size =\"50594816\"]\n  6 [size=\"29532160\", alpha=\"0.11\", expect_size=\"8859648\"] \n  6 -> 34 [size =\"8859648\"]\n  6 -> 35 [size =\"8859648\"]\n  6 -> 36 [size =\"8859648\"]\n  6 -> 38 [size =\"8859648\"]\n  6 -> 39 [size =\"8859648\"]\n  6 -> 40 [size =\"8859648\"]\n  7 [size=\"125566293\", alpha=\"0.13\", expect_size=\"37669888\"] \n  7 -> 36 [size =\"37669888\"]\n  7 -> 37 [size =\"37669888\"]\n  7 -> 38 [size =\"37669888\"]\n  7 -> 40 [size =\"37669888\"]\n  8 [size=\"50182827\", alpha=\"0.11\", expect_size=\"15054848\"] \n  8 -> 36 [size =\"15054848\"]\n  8 -> 37 [size =\"15054848\"]\n  8 -> 38 [size =\"15054848\"]\n  8 -> 39 [size =\"15054848\"]\n  8 -> 40 [size =\"15054848\"]\n  9 [size=\"121883307\", alpha=\"0.13\", expect_size=\"36564992\"] \n  9 -> 36 [size =\"36564992\"]\n  9 -> 37 [size =\"36564992\"]\n  9 -> 38 [size =\"36564992\"]\n  9 -> 39 [size =\"36564992\"]\n  9 -> 40 [size =\"36564992\"]\n  10 [size=\"31211520\", alpha=\"0.07\", expect_size=\"9363456\"] \n  10 -> 34 [size =\"9363456\"]\n  10 -> 37 [size =\"9363456\"]\n  10 -> 38 [size =\"9363456\"]\n  10 -> 39 [size =\"9363456\"]\n  10 -> 40 [size =\"9363456\"]\n  11 [size=\"147391147\", alpha=\"0.09\", expect_size=\"44217344\"] \n  11 -> 34 [size =\"44217344\"]\n  11 -> 37 [size =\"44217344\"]\n  11 -> 38 [size =\"44217344\"]\n  12 [size=\"64675840\", alpha=\"0.10\", expect_size=\"19402752\"] \n  12 -> 36 [size =\"19402752\"]\n  12 -> 37 [size =\"19402752\"]\n  12 -> 38 [size =\"19402752\"]\n  12 -> 39 [size =\"19402752\"]\n  13 [size=\"61385387\", alpha=\"0.18\", expect_size=\"18415616\"] \n  13 -> 37 [size =\"18415616\"]\n  13 -> 38 [size =\"18415616\"]\n  13 -> 38 [size =\"18415616\"]\n  13 -> 39 [size =\"18415616\"]\n  13 -> 40 [size =\"18415616\"]\n  14 [size=\"154449920\", alpha=\"0.14\", expect_size=\"46334976\"] \n  14 -> 38 [size =\"46334976\"]\n  15 [size=\"38509227\", alpha=\"0.04\", expect_size=\"11552768\"] \n  15 -> 36 [size =\"11552768\"]\n  15 -> 37 [size =\"11552768\"]\n  15 -> 38 [size =\"11552768\"]\n  15 -> 39 [size =\"11552768\"]\n  16 [size=\"122146133\", alpha=\"0.09\", expect_size=\"36643840\"] \n  16 -> 34 [size =\"36643840\"]\n  16 -> 36 [size =\"36643840\"]\n  17 [size=\"54534827\", alpha=\"0.16\", expect_size=\"16360448\"] \n  17 -> 34 [size =\"16360448\"]\n  17 -> 36 [size =\"16360448\"]\n  18 [size=\"157422933\", alpha=\"0.05\", expect_size=\"47226880\"] \n  18 -> 38 [size =\"47226880\"]\n  18 -> 39 [size =\"47226880\"]\n  18 -> 40 [size =\"47226880\"]\n  19 [size=\"89900373\", alpha=\"0.03\", expect_size=\"26970112\"] \n  19 -> 34 [size =\"26970112\"]\n  19 -> 36 [size =\"26970112\"]\n  19 -> 38 [size =\"26970112\"]\n  19 -> 39 [size =\"26970112\"]\n  20 [size=\"33614507\", alpha=\"0.18\", expect_size=\"10084352\"] \n  20 -> 34 [size =\"10084352\"]\n  20 -> 37 [size =\"10084352\"]\n  20 -> 38 [size =\"10084352\"]\n  20 -> 39 [size =\"10084352\"]\n  20 -> 40 [size =\"10084352\"]\n  21 [size=\"92327253\", alpha=\"0.13\", expect_size=\"27698176\"] \n  21 -> 34 [size =\"27698176\"]\n  21 -> 36 [size =\"27698176\"]\n  21 -> 38 [size =\"27698176\"]\n  21 -> 39 [size =\"27698176\"]\n  21 -> 40 [size =\"27698176\"]\n  22 [size=\"160153600\", alpha=\"0.11\", expect_size=\"48046080\"] \n  22 -> 34 [size =\"48046080\"]\n  22 -> 36 [size =\"48046080\"]\n  22 -> 37 [size =\"48046080\"]\n  22 -> 38 [size =\"48046080\"]\n  22 -> 39 [size =\"48046080\"]\n  22 -> 40 [size =\"48046080\"]\n  23 [size=\"79162027\", alpha=\"0.09\", expect_size=\"23748608\"] \n  23 -> 34 [size =\"23748608\"]\n  23 -> 36 [size =\"23748608\"]\n  23 -> 38 [size =\"23748608\"]\n  23 -> 39 [size =\"23748608\"]\n  23 -> 40 [size =\"23748608\"]\n  24 [size=\"62853120\", alpha=\"0.19\", expect_size=\"18855936\"] \n  24 -> 37 [size =\"18855936\"]\n  24 -> 38 [size =\"18855936\"]\n  24 -> 38 [size =\"18855936\"]\n  24 -> 39 [size =\"18855936\"]\n  25 [size=\"18387627\", alpha=\"0.07\", expect_size=\"5516288\"] \n  25 -> 34 [size =\"5516288\"]\n  25 -> 37 [size =\"5516288\"]\n  25 -> 38 [size =\"5516288\"]\n  25 -> 39 [size =\"5516288\"]\n  25 -> 40 [size =\"5516288\"]\n  26 [size=\"48974507\", alpha=\"0.17\", expect_size=\"14692352\"] \n  26 -> 36 [size =\"14692352\"]\n  26 -> 37 [size =\"14692352\"]\n  26 -> 38 [size =\"14692352\"]\n  26 -> 39 [size =\"14692352\"]\n  27 [size=\"115957760\", alpha=\"0.01\", expect_size=\"34787328\"] \n  27 -> 36 [size =\"34787328\"]\n  27 -> 37 [size =\"34787328\"]\n  27 -> 38 [size =\"34787328\"]\n  27 -> 39 [size =\"34787328\"]\n  28 [size=\"87811413\", alpha=\"0.09\", expect_size=\"26343424\"] \n  28 -> 34 [size =\"26343424\"]\n  28 -> 36 [size =\"26343424\"]\n  28 -> 37 [size =\"26343424\"]\n  28 -> 38 [size =\"26343424\"]\n  28 -> 39 [size =\"26343424\"]\n  29 [size=\"126890667\", alpha=\"0.10\", expect_size=\"38067200\"] \n  29 -> 37 [size =\"38067200\"]\n  29 -> 39 [size =\"38067200\"]\n  30 [size=\"150108160\", alpha=\"0.13\", expect_size=\"45032448\"] \n  30 -> 34 [size =\"45032448\"]\n  30 -> 36 [size =\"45032448\"]\n  30 -> 37 [size =\"45032448\"]\n  30 -> 39 [size =\"45032448\"]\n  31 [size=\"131522560\", alpha=\"0.13\", expect_size=\"39456768\"] \n  31 -> 34 [size =\"39456768\"]\n  31 -> 37 [size =\"39456768\"]\n  31 -> 39 [size =\"39456768\"]\n  31 -> 39 [size =\"39456768\"]\n  32 [size=\"79503360\", alpha=\"0.18\", expect_size=\"23851008\"] \n  32 -> 34 [size =\"23851008\"]\n  32 -> 36 [size =\"23851008\"]\n  32 -> 37 [size =\"23851008\"]\n  32 -> 38 [size =\"23851008\"]\n  32 -> 39 [size =\"23851008\"]\n  32 -> 40 [size =\"23851008\"]\n  33 [size=\"169922560\", alpha=\"0.10\", expect_size=\"50976768\"] \n  33 -> 34 [size =\"50976768\"]\n  33 -> 36 [size =\"50976768\"]\n  33 -> 37 [size =\"50976768\"]\n  33 -> 38 [size =\"50976768\"]\n  33 -> 39 [size =\"50976768\"]\n  33 -> 40 [size =\"50976768\"]\n  34 [size=\"84920320\", alpha=\"0.18\", expect_size=\"25476096\"] \n  35 [size=\"73332053\", alpha=\"0.09\", expect_size=\"21999616\"] \n  36 [size=\"129051307\", alpha=\"0.14\", expect_size=\"38715392\"] \n  37 [size=\"106847573\", alpha=\"0.03\", expect_size=\"32054272\"] \n  38 [size=\"114810880\", alpha=\"0.10\", expect_size=\"34443264\"] \n  39 [size=\"28368213\", alpha=\"0.06\", expect_size=\"8510464\"] \n  40 [size=\"109213013\", alpha=\"0.05\", expect_size=\"32763904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118727680\", alpha=\"0.10\", expect_size=\"47491072\"] \n  1 -> 3 [size =\"47491072\"]\n  1 -> 4 [size =\"47491072\"]\n  2 [size=\"20456960\", alpha=\"0.08\", expect_size=\"8182784\"] \n  2 -> 3 [size =\"8182784\"]\n  3 [size=\"76006400\", alpha=\"0.16\", expect_size=\"30402560\"] \n  3 -> 5 [size =\"30402560\"]\n  3 -> 6 [size =\"30402560\"]\n  4 [size=\"111349760\", alpha=\"0.20\", expect_size=\"44539904\"] \n  4 -> 5 [size =\"44539904\"]\n  4 -> 6 [size =\"44539904\"]\n  5 [size=\"46484480\", alpha=\"0.03\", expect_size=\"18593792\"] \n  5 -> 7 [size =\"18593792\"]\n  5 -> 8 [size =\"18593792\"]\n  5 -> 9 [size =\"18593792\"]\n  6 [size=\"129169920\", alpha=\"0.14\", expect_size=\"51667968\"] \n  6 -> 7 [size =\"51667968\"]\n  6 -> 8 [size =\"51667968\"]\n  6 -> 9 [size =\"51667968\"]\n  7 [size=\"44162560\", alpha=\"0.06\", expect_size=\"17665024\"] \n  8 [size=\"54179840\", alpha=\"0.14\", expect_size=\"21671936\"] \n  8 -> 11 [size =\"21671936\"]\n  9 [size=\"69388800\", alpha=\"0.03\", expect_size=\"27755520\"] \n  9 -> 10 [size =\"27755520\"]\n  10 [size=\"116915200\", alpha=\"0.05\", expect_size=\"46766080\"] \n  10 -> 12 [size =\"46766080\"]\n  10 -> 13 [size =\"46766080\"]\n  10 -> 14 [size =\"46766080\"]\n  11 [size=\"13770240\", alpha=\"0.12\", expect_size=\"5508096\"] \n  11 -> 12 [size =\"5508096\"]\n  11 -> 13 [size =\"5508096\"]\n  11 -> 14 [size =\"5508096\"]\n  12 [size=\"74278400\", alpha=\"0.01\", expect_size=\"29711360\"] \n  12 -> 16 [size =\"29711360\"]\n  12 -> 16 [size =\"29711360\"]\n  13 [size=\"121172480\", alpha=\"0.03\", expect_size=\"48468992\"] \n  14 [size=\"97922560\", alpha=\"0.17\", expect_size=\"39169024\"] \n  14 -> 15 [size =\"39169024\"]\n  14 -> 16 [size =\"39169024\"]\n  15 [size=\"95672320\", alpha=\"0.12\", expect_size=\"38268928\"] \n  15 -> 17 [size =\"38268928\"]\n  15 -> 18 [size =\"38268928\"]\n  16 [size=\"112350720\", alpha=\"0.15\", expect_size=\"44940288\"] \n  16 -> 17 [size =\"44940288\"]\n  16 -> 18 [size =\"44940288\"]\n  17 [size=\"77347840\", alpha=\"0.19\", expect_size=\"30939136\"] \n  17 -> 19 [size =\"30939136\"]\n  17 -> 21 [size =\"30939136\"]\n  18 [size=\"112204800\", alpha=\"0.05\", expect_size=\"44881920\"] \n  18 -> 19 [size =\"44881920\"]\n  18 -> 20 [size =\"44881920\"]\n  18 -> 21 [size =\"44881920\"]\n  19 [size=\"77230080\", alpha=\"0.18\", expect_size=\"30892032\"] \n  19 -> 22 [size =\"30892032\"]\n  20 [size=\"94924800\", alpha=\"0.19\", expect_size=\"37969920\"] \n  20 -> 22 [size =\"37969920\"]\n  20 -> 23 [size =\"37969920\"]\n  21 [size=\"125273600\", alpha=\"0.19\", expect_size=\"50109440\"] \n  21 -> 22 [size =\"50109440\"]\n  21 -> 23 [size =\"50109440\"]\n  22 [size=\"77040640\", alpha=\"0.19\", expect_size=\"30816256\"] \n  22 -> 24 [size =\"30816256\"]\n  23 [size=\"82117120\", alpha=\"0.10\", expect_size=\"32846848\"] \n  23 -> 24 [size =\"32846848\"]\n  23 -> 25 [size =\"32846848\"]\n  24 [size=\"97192960\", alpha=\"0.18\", expect_size=\"38877184\"] \n  24 -> 26 [size =\"38877184\"]\n  24 -> 27 [size =\"38877184\"]\n  25 [size=\"78784000\", alpha=\"0.11\", expect_size=\"31513600\"] \n  25 -> 26 [size =\"31513600\"]\n  26 [size=\"34490880\", alpha=\"0.05\", expect_size=\"13796352\"] \n  26 -> 29 [size =\"13796352\"]\n  27 [size=\"122608640\", alpha=\"0.03\", expect_size=\"49043456\"] \n  27 -> 28 [size =\"49043456\"]\n  27 -> 29 [size =\"49043456\"]\n  28 [size=\"115338240\", alpha=\"0.08\", expect_size=\"46135296\"] \n  28 -> 30 [size =\"46135296\"]\n  28 -> 31 [size =\"46135296\"]\n  29 [size=\"25725440\", alpha=\"0.03\", expect_size=\"10290176\"] \n  29 -> 30 [size =\"10290176\"]\n  29 -> 31 [size =\"10290176\"]\n  30 [size=\"14993920\", alpha=\"0.16\", expect_size=\"5997568\"] \n  30 -> 32 [size =\"5997568\"]\n  30 -> 33 [size =\"5997568\"]\n  31 [size=\"129832960\", alpha=\"0.08\", expect_size=\"51933184\"] \n  31 -> 33 [size =\"51933184\"]\n  32 [size=\"121968640\", alpha=\"0.11\", expect_size=\"48787456\"] \n  32 -> 34 [size =\"48787456\"]\n  32 -> 35 [size =\"48787456\"]\n  33 [size=\"116718080\", alpha=\"0.12\", expect_size=\"46687232\"] \n  34 [size=\"59013120\", alpha=\"0.08\", expect_size=\"23605248\"] \n  34 -> 36 [size =\"23605248\"]\n  34 -> 37 [size =\"23605248\"]\n  35 [size=\"47101440\", alpha=\"0.18\", expect_size=\"18840576\"] \n  35 -> 36 [size =\"18840576\"]\n  35 -> 37 [size =\"18840576\"]\n  36 [size=\"114355200\", alpha=\"0.04\", expect_size=\"45742080\"] \n  36 -> 38 [size =\"45742080\"]\n  37 [size=\"22952960\", alpha=\"0.02\", expect_size=\"9181184\"] \n  37 -> 38 [size =\"9181184\"]\n  37 -> 39 [size =\"9181184\"]\n  38 [size=\"39872000\", alpha=\"0.16\", expect_size=\"15948800\"] \n  38 -> 40 [size =\"15948800\"]\n  39 [size=\"88230400\", alpha=\"0.01\", expect_size=\"35292160\"] \n  39 -> 40 [size =\"35292160\"]\n  40 [size=\"106339840\", alpha=\"0.20\", expect_size=\"42535936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50025813\", alpha=\"0.10\", expect_size=\"15007744\"] \n  1 -> 17 [size =\"15007744\"]\n  1 -> 23 [size =\"15007744\"]\n  2 [size=\"41888427\", alpha=\"0.15\", expect_size=\"12566528\"] \n  2 -> 17 [size =\"12566528\"]\n  2 -> 18 [size =\"12566528\"]\n  3 [size=\"115749547\", alpha=\"0.18\", expect_size=\"34724864\"] \n  3 -> 17 [size =\"34724864\"]\n  3 -> 21 [size =\"34724864\"]\n  3 -> 22 [size =\"34724864\"]\n  4 [size=\"90511360\", alpha=\"0.16\", expect_size=\"27153408\"] \n  4 -> 15 [size =\"27153408\"]\n  4 -> 19 [size =\"27153408\"]\n  4 -> 23 [size =\"27153408\"]\n  4 -> 26 [size =\"27153408\"]\n  5 [size=\"57050453\", alpha=\"0.10\", expect_size=\"17115136\"] \n  5 -> 19 [size =\"17115136\"]\n  5 -> 19 [size =\"17115136\"]\n  5 -> 20 [size =\"17115136\"]\n  6 [size=\"50496853\", alpha=\"0.02\", expect_size=\"15149056\"] \n  6 -> 17 [size =\"15149056\"]\n  6 -> 22 [size =\"15149056\"]\n  6 -> 26 [size =\"15149056\"]\n  7 [size=\"89309867\", alpha=\"0.17\", expect_size=\"26792960\"] \n  7 -> 24 [size =\"26792960\"]\n  8 [size=\"171311787\", alpha=\"0.14\", expect_size=\"51393536\"] \n  8 -> 17 [size =\"51393536\"]\n  8 -> 19 [size =\"51393536\"]\n  8 -> 25 [size =\"51393536\"]\n  9 [size=\"17646933\", alpha=\"0.04\", expect_size=\"5294080\"] \n  9 -> 16 [size =\"5294080\"]\n  9 -> 21 [size =\"5294080\"]\n  10 [size=\"121961813\", alpha=\"0.09\", expect_size=\"36588544\"] \n  10 -> 15 [size =\"36588544\"]\n  10 -> 16 [size =\"36588544\"]\n  10 -> 21 [size =\"36588544\"]\n  10 -> 26 [size =\"36588544\"]\n  11 [size=\"96300373\", alpha=\"0.19\", expect_size=\"28890112\"] \n  11 -> 15 [size =\"28890112\"]\n  11 -> 17 [size =\"28890112\"]\n  11 -> 23 [size =\"28890112\"]\n  11 -> 25 [size =\"28890112\"]\n  12 [size=\"174370133\", alpha=\"0.03\", expect_size=\"52311040\"] \n  12 -> 15 [size =\"52311040\"]\n  12 -> 16 [size =\"52311040\"]\n  12 -> 20 [size =\"52311040\"]\n  12 -> 21 [size =\"52311040\"]\n  12 -> 26 [size =\"52311040\"]\n  13 [size=\"134792533\", alpha=\"0.18\", expect_size=\"40437760\"] \n  13 -> 15 [size =\"40437760\"]\n  13 -> 16 [size =\"40437760\"]\n  13 -> 18 [size =\"40437760\"]\n  14 [size=\"122944853\", alpha=\"0.16\", expect_size=\"36883456\"] \n  14 -> 15 [size =\"36883456\"]\n  14 -> 18 [size =\"36883456\"]\n  14 -> 18 [size =\"36883456\"]\n  14 -> 21 [size =\"36883456\"]\n  14 -> 22 [size =\"36883456\"]\n  14 -> 23 [size =\"36883456\"]\n  15 [size=\"93730133\", alpha=\"0.19\", expect_size=\"28119040\"] \n  15 -> 27 [size =\"28119040\"]\n  15 -> 31 [size =\"28119040\"]\n  15 -> 33 [size =\"28119040\"]\n  15 -> 34 [size =\"28119040\"]\n  15 -> 35 [size =\"28119040\"]\n  15 -> 36 [size =\"28119040\"]\n  15 -> 37 [size =\"28119040\"]\n  16 [size=\"172858027\", alpha=\"0.18\", expect_size=\"51857408\"] \n  16 -> 29 [size =\"51857408\"]\n  16 -> 34 [size =\"51857408\"]\n  16 -> 35 [size =\"51857408\"]\n  17 [size=\"33054720\", alpha=\"0.02\", expect_size=\"9916416\"] \n  17 -> 30 [size =\"9916416\"]\n  17 -> 33 [size =\"9916416\"]\n  17 -> 34 [size =\"9916416\"]\n  17 -> 35 [size =\"9916416\"]\n  17 -> 37 [size =\"9916416\"]\n  18 [size=\"165966507\", alpha=\"0.02\", expect_size=\"49789952\"] \n  18 -> 30 [size =\"49789952\"]\n  18 -> 33 [size =\"49789952\"]\n  18 -> 34 [size =\"49789952\"]\n  18 -> 35 [size =\"49789952\"]\n  19 [size=\"115729067\", alpha=\"0.09\", expect_size=\"34718720\"] \n  19 -> 31 [size =\"34718720\"]\n  19 -> 32 [size =\"34718720\"]\n  19 -> 35 [size =\"34718720\"]\n  20 [size=\"146841600\", alpha=\"0.03\", expect_size=\"44052480\"] \n  20 -> 36 [size =\"44052480\"]\n  21 [size=\"62122667\", alpha=\"0.02\", expect_size=\"18636800\"] \n  21 -> 29 [size =\"18636800\"]\n  22 [size=\"56214187\", alpha=\"0.04\", expect_size=\"16864256\"] \n  22 -> 29 [size =\"16864256\"]\n  23 [size=\"81821013\", alpha=\"0.18\", expect_size=\"24546304\"] \n  23 -> 29 [size =\"24546304\"]\n  23 -> 32 [size =\"24546304\"]\n  23 -> 33 [size =\"24546304\"]\n  23 -> 34 [size =\"24546304\"]\n  23 -> 35 [size =\"24546304\"]\n  23 -> 36 [size =\"24546304\"]\n  23 -> 37 [size =\"24546304\"]\n  24 [size=\"64727040\", alpha=\"0.01\", expect_size=\"19418112\"] \n  24 -> 27 [size =\"19418112\"]\n  24 -> 30 [size =\"19418112\"]\n  25 [size=\"35969707\", alpha=\"0.10\", expect_size=\"10790912\"] \n  25 -> 30 [size =\"10790912\"]\n  25 -> 30 [size =\"10790912\"]\n  25 -> 33 [size =\"10790912\"]\n  26 [size=\"27859627\", alpha=\"0.02\", expect_size=\"8357888\"] \n  26 -> 28 [size =\"8357888\"]\n  26 -> 30 [size =\"8357888\"]\n  26 -> 36 [size =\"8357888\"]\n  27 [size=\"172813653\", alpha=\"0.04\", expect_size=\"51844096\"] \n  27 -> 39 [size =\"51844096\"]\n  27 -> 40 [size =\"51844096\"]\n  28 [size=\"32699733\", alpha=\"0.06\", expect_size=\"9809920\"] \n  28 -> 39 [size =\"9809920\"]\n  29 [size=\"49288533\", alpha=\"0.07\", expect_size=\"14786560\"] \n  29 -> 38 [size =\"14786560\"]\n  30 [size=\"118411947\", alpha=\"0.02\", expect_size=\"35523584\"] \n  31 [size=\"143848107\", alpha=\"0.06\", expect_size=\"43154432\"] \n  32 [size=\"158149973\", alpha=\"0.11\", expect_size=\"47444992\"] \n  33 [size=\"28439893\", alpha=\"0.11\", expect_size=\"8531968\"] \n  34 [size=\"167567360\", alpha=\"0.04\", expect_size=\"50270208\"] \n  35 [size=\"19418453\", alpha=\"0.06\", expect_size=\"5825536\"] \n  36 [size=\"95436800\", alpha=\"0.09\", expect_size=\"28631040\"] \n  36 -> 38 [size =\"28631040\"]\n  36 -> 39 [size =\"28631040\"]\n  37 [size=\"114063360\", alpha=\"0.13\", expect_size=\"34219008\"] \n  38 [size=\"147138560\", alpha=\"0.17\", expect_size=\"44141568\"] \n  39 [size=\"33928533\", alpha=\"0.13\", expect_size=\"10178560\"] \n  40 [size=\"89173333\", alpha=\"0.05\", expect_size=\"26752000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54674773\", alpha=\"0.03\", expect_size=\"16402432\"] \n  1 -> 3 [size =\"16402432\"]\n  1 -> 4 [size =\"16402432\"]\n  2 [size=\"79332693\", alpha=\"0.02\", expect_size=\"23799808\"] \n  3 [size=\"131399680\", alpha=\"0.19\", expect_size=\"39419904\"] \n  3 -> 7 [size =\"39419904\"]\n  4 [size=\"66235733\", alpha=\"0.08\", expect_size=\"19870720\"] \n  4 -> 5 [size =\"19870720\"]\n  4 -> 6 [size =\"19870720\"]\n  5 [size=\"108496213\", alpha=\"0.19\", expect_size=\"32548864\"] \n  5 -> 10 [size =\"32548864\"]\n  6 [size=\"86439253\", alpha=\"0.04\", expect_size=\"25931776\"] \n  6 -> 8 [size =\"25931776\"]\n  6 -> 10 [size =\"25931776\"]\n  7 [size=\"66092373\", alpha=\"0.15\", expect_size=\"19827712\"] \n  7 -> 9 [size =\"19827712\"]\n  8 [size=\"57412267\", alpha=\"0.10\", expect_size=\"17223680\"] \n  8 -> 12 [size =\"17223680\"]\n  8 -> 13 [size =\"17223680\"]\n  9 [size=\"28132693\", alpha=\"0.03\", expect_size=\"8439808\"] \n  9 -> 13 [size =\"8439808\"]\n  10 [size=\"36829867\", alpha=\"0.14\", expect_size=\"11048960\"] \n  10 -> 11 [size =\"11048960\"]\n  11 [size=\"101724160\", alpha=\"0.07\", expect_size=\"30517248\"] \n  11 -> 14 [size =\"30517248\"]\n  11 -> 16 [size =\"30517248\"]\n  12 [size=\"127505067\", alpha=\"0.18\", expect_size=\"38251520\"] \n  12 -> 14 [size =\"38251520\"]\n  12 -> 15 [size =\"38251520\"]\n  13 [size=\"146807467\", alpha=\"0.15\", expect_size=\"44042240\"] \n  13 -> 15 [size =\"44042240\"]\n  13 -> 16 [size =\"44042240\"]\n  14 [size=\"136656213\", alpha=\"0.04\", expect_size=\"40996864\"] \n  14 -> 18 [size =\"40996864\"]\n  14 -> 19 [size =\"40996864\"]\n  15 [size=\"45810347\", alpha=\"0.08\", expect_size=\"13743104\"] \n  16 [size=\"40977067\", alpha=\"0.19\", expect_size=\"12293120\"] \n  16 -> 17 [size =\"12293120\"]\n  16 -> 19 [size =\"12293120\"]\n  17 [size=\"70058667\", alpha=\"0.10\", expect_size=\"21017600\"] \n  17 -> 20 [size =\"21017600\"]\n  17 -> 22 [size =\"21017600\"]\n  18 [size=\"32512000\", alpha=\"0.15\", expect_size=\"9753600\"] \n  19 [size=\"112438613\", alpha=\"0.19\", expect_size=\"33731584\"] \n  19 -> 21 [size =\"33731584\"]\n  19 -> 22 [size =\"33731584\"]\n  20 [size=\"136622080\", alpha=\"0.18\", expect_size=\"40986624\"] \n  20 -> 23 [size =\"40986624\"]\n  21 [size=\"93187413\", alpha=\"0.01\", expect_size=\"27956224\"] \n  21 -> 24 [size =\"27956224\"]\n  21 -> 25 [size =\"27956224\"]\n  22 [size=\"146862080\", alpha=\"0.12\", expect_size=\"44058624\"] \n  22 -> 23 [size =\"44058624\"]\n  22 -> 25 [size =\"44058624\"]\n  23 [size=\"127672320\", alpha=\"0.17\", expect_size=\"38301696\"] \n  24 [size=\"87412053\", alpha=\"0.09\", expect_size=\"26223616\"] \n  24 -> 26 [size =\"26223616\"]\n  24 -> 27 [size =\"26223616\"]\n  24 -> 28 [size =\"26223616\"]\n  25 [size=\"116531200\", alpha=\"0.12\", expect_size=\"34959360\"] \n  25 -> 27 [size =\"34959360\"]\n  25 -> 28 [size =\"34959360\"]\n  26 [size=\"18483200\", alpha=\"0.04\", expect_size=\"5544960\"] \n  26 -> 29 [size =\"5544960\"]\n  26 -> 30 [size =\"5544960\"]\n  26 -> 31 [size =\"5544960\"]\n  27 [size=\"167765333\", alpha=\"0.02\", expect_size=\"50329600\"] \n  27 -> 29 [size =\"50329600\"]\n  27 -> 30 [size =\"50329600\"]\n  28 [size=\"89108480\", alpha=\"0.06\", expect_size=\"26732544\"] \n  29 [size=\"53043200\", alpha=\"0.10\", expect_size=\"15912960\"] \n  30 [size=\"46933333\", alpha=\"0.17\", expect_size=\"14080000\"] \n  31 [size=\"28265813\", alpha=\"0.15\", expect_size=\"8479744\"] \n  31 -> 32 [size =\"8479744\"]\n  31 -> 33 [size =\"8479744\"]\n  32 [size=\"34242560\", alpha=\"0.07\", expect_size=\"10272768\"] \n  32 -> 35 [size =\"10272768\"]\n  33 [size=\"126720000\", alpha=\"0.15\", expect_size=\"38016000\"] \n  33 -> 34 [size =\"38016000\"]\n  33 -> 35 [size =\"38016000\"]\n  33 -> 36 [size =\"38016000\"]\n  34 [size=\"105052160\", alpha=\"0.19\", expect_size=\"31515648\"] \n  34 -> 38 [size =\"31515648\"]\n  34 -> 39 [size =\"31515648\"]\n  35 [size=\"17998507\", alpha=\"0.06\", expect_size=\"5399552\"] \n  35 -> 37 [size =\"5399552\"]\n  35 -> 38 [size =\"5399552\"]\n  35 -> 39 [size =\"5399552\"]\n  36 [size=\"113865387\", alpha=\"0.16\", expect_size=\"34159616\"] \n  37 [size=\"147049813\", alpha=\"0.12\", expect_size=\"44114944\"] \n  38 [size=\"166167893\", alpha=\"0.11\", expect_size=\"49850368\"] \n  39 [size=\"53869227\", alpha=\"0.02\", expect_size=\"16160768\"] \n  39 -> 40 [size =\"16160768\"]\n  40 [size=\"135386453\", alpha=\"0.08\", expect_size=\"40615936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46827520\", alpha=\"0.17\", expect_size=\"14048256\"] \n  1 -> 4 [size =\"14048256\"]\n  2 [size=\"137157973\", alpha=\"0.05\", expect_size=\"41147392\"] \n  2 -> 5 [size =\"41147392\"]\n  2 -> 6 [size =\"41147392\"]\n  3 [size=\"122924373\", alpha=\"0.18\", expect_size=\"36877312\"] \n  3 -> 6 [size =\"36877312\"]\n  4 [size=\"148633600\", alpha=\"0.17\", expect_size=\"44590080\"] \n  4 -> 9 [size =\"44590080\"]\n  5 [size=\"31317333\", alpha=\"0.09\", expect_size=\"9395200\"] \n  5 -> 7 [size =\"9395200\"]\n  5 -> 8 [size =\"9395200\"]\n  5 -> 9 [size =\"9395200\"]\n  6 [size=\"116381013\", alpha=\"0.12\", expect_size=\"34914304\"] \n  6 -> 9 [size =\"34914304\"]\n  7 [size=\"28832427\", alpha=\"0.00\", expect_size=\"8649728\"] \n  7 -> 10 [size =\"8649728\"]\n  8 [size=\"160276480\", alpha=\"0.02\", expect_size=\"48082944\"] \n  8 -> 10 [size =\"48082944\"]\n  8 -> 11 [size =\"48082944\"]\n  9 [size=\"107291307\", alpha=\"0.13\", expect_size=\"32187392\"] \n  9 -> 10 [size =\"32187392\"]\n  9 -> 11 [size =\"32187392\"]\n  10 [size=\"134338560\", alpha=\"0.16\", expect_size=\"40301568\"] \n  10 -> 12 [size =\"40301568\"]\n  11 [size=\"52336640\", alpha=\"0.11\", expect_size=\"15700992\"] \n  11 -> 13 [size =\"15700992\"]\n  12 [size=\"29989547\", alpha=\"0.08\", expect_size=\"8996864\"] \n  12 -> 14 [size =\"8996864\"]\n  12 -> 15 [size =\"8996864\"]\n  12 -> 16 [size =\"8996864\"]\n  13 [size=\"72229547\", alpha=\"0.13\", expect_size=\"21668864\"] \n  13 -> 14 [size =\"21668864\"]\n  13 -> 15 [size =\"21668864\"]\n  13 -> 16 [size =\"21668864\"]\n  14 [size=\"55835307\", alpha=\"0.02\", expect_size=\"16750592\"] \n  14 -> 17 [size =\"16750592\"]\n  15 [size=\"35601067\", alpha=\"0.05\", expect_size=\"10680320\"] \n  15 -> 18 [size =\"10680320\"]\n  16 [size=\"109137920\", alpha=\"0.08\", expect_size=\"32741376\"] \n  16 -> 18 [size =\"32741376\"]\n  17 [size=\"43700907\", alpha=\"0.08\", expect_size=\"13110272\"] \n  17 -> 20 [size =\"13110272\"]\n  17 -> 21 [size =\"13110272\"]\n  18 [size=\"47360000\", alpha=\"0.17\", expect_size=\"14208000\"] \n  18 -> 19 [size =\"14208000\"]\n  18 -> 20 [size =\"14208000\"]\n  18 -> 21 [size =\"14208000\"]\n  19 [size=\"64474453\", alpha=\"0.13\", expect_size=\"19342336\"] \n  19 -> 22 [size =\"19342336\"]\n  19 -> 23 [size =\"19342336\"]\n  20 [size=\"164631893\", alpha=\"0.17\", expect_size=\"49389568\"] \n  21 [size=\"131143680\", alpha=\"0.04\", expect_size=\"39343104\"] \n  21 -> 23 [size =\"39343104\"]\n  22 [size=\"61945173\", alpha=\"0.07\", expect_size=\"18583552\"] \n  22 -> 24 [size =\"18583552\"]\n  23 [size=\"122436267\", alpha=\"0.04\", expect_size=\"36730880\"] \n  23 -> 25 [size =\"36730880\"]\n  24 [size=\"66399573\", alpha=\"0.17\", expect_size=\"19919872\"] \n  24 -> 26 [size =\"19919872\"]\n  24 -> 27 [size =\"19919872\"]\n  24 -> 28 [size =\"19919872\"]\n  25 [size=\"82309120\", alpha=\"0.11\", expect_size=\"24692736\"] \n  25 -> 26 [size =\"24692736\"]\n  25 -> 27 [size =\"24692736\"]\n  25 -> 28 [size =\"24692736\"]\n  26 [size=\"122705920\", alpha=\"0.19\", expect_size=\"36811776\"] \n  26 -> 29 [size =\"36811776\"]\n  27 [size=\"26033493\", alpha=\"0.07\", expect_size=\"7810048\"] \n  27 -> 30 [size =\"7810048\"]\n  28 [size=\"88453120\", alpha=\"0.14\", expect_size=\"26535936\"] \n  28 -> 30 [size =\"26535936\"]\n  29 [size=\"61569707\", alpha=\"0.13\", expect_size=\"18470912\"] \n  29 -> 31 [size =\"18470912\"]\n  29 -> 32 [size =\"18470912\"]\n  29 -> 33 [size =\"18470912\"]\n  30 [size=\"161580373\", alpha=\"0.06\", expect_size=\"48474112\"] \n  30 -> 32 [size =\"48474112\"]\n  30 -> 33 [size =\"48474112\"]\n  31 [size=\"135342080\", alpha=\"0.03\", expect_size=\"40602624\"] \n  31 -> 34 [size =\"40602624\"]\n  32 [size=\"169499307\", alpha=\"0.03\", expect_size=\"50849792\"] \n  32 -> 34 [size =\"50849792\"]\n  33 [size=\"69157547\", alpha=\"0.09\", expect_size=\"20747264\"] \n  33 -> 35 [size =\"20747264\"]\n  34 [size=\"97054720\", alpha=\"0.20\", expect_size=\"29116416\"] \n  34 -> 36 [size =\"29116416\"]\n  34 -> 37 [size =\"29116416\"]\n  35 [size=\"69778773\", alpha=\"0.13\", expect_size=\"20933632\"] \n  35 -> 36 [size =\"20933632\"]\n  35 -> 37 [size =\"20933632\"]\n  36 [size=\"158457173\", alpha=\"0.18\", expect_size=\"47537152\"] \n  36 -> 38 [size =\"47537152\"]\n  37 [size=\"147425280\", alpha=\"0.07\", expect_size=\"44227584\"] \n  37 -> 38 [size =\"44227584\"]\n  37 -> 39 [size =\"44227584\"]\n  38 [size=\"48035840\", alpha=\"0.19\", expect_size=\"14410752\"] \n  38 -> 40 [size =\"14410752\"]\n  39 [size=\"160378880\", alpha=\"0.17\", expect_size=\"48113664\"] \n  40 [size=\"102406827\", alpha=\"0.14\", expect_size=\"30722048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108264107\", alpha=\"0.16\", expect_size=\"32479232\"] \n  1 -> 32 [size =\"32479232\"]\n  1 -> 35 [size =\"32479232\"]\n  1 -> 39 [size =\"32479232\"]\n  2 [size=\"68321280\", alpha=\"0.08\", expect_size=\"20496384\"] \n  2 -> 33 [size =\"20496384\"]\n  2 -> 36 [size =\"20496384\"]\n  3 [size=\"100843520\", alpha=\"0.14\", expect_size=\"30253056\"] \n  3 -> 33 [size =\"30253056\"]\n  3 -> 35 [size =\"30253056\"]\n  3 -> 39 [size =\"30253056\"]\n  4 [size=\"126958933\", alpha=\"0.15\", expect_size=\"38087680\"] \n  4 -> 33 [size =\"38087680\"]\n  4 -> 35 [size =\"38087680\"]\n  4 -> 37 [size =\"38087680\"]\n  4 -> 40 [size =\"38087680\"]\n  5 [size=\"75827200\", alpha=\"0.17\", expect_size=\"22748160\"] \n  5 -> 30 [size =\"22748160\"]\n  6 [size=\"129402880\", alpha=\"0.04\", expect_size=\"38820864\"] \n  6 -> 30 [size =\"38820864\"]\n  6 -> 32 [size =\"38820864\"]\n  6 -> 33 [size =\"38820864\"]\n  6 -> 35 [size =\"38820864\"]\n  7 [size=\"159235413\", alpha=\"0.13\", expect_size=\"47770624\"] \n  7 -> 33 [size =\"47770624\"]\n  7 -> 37 [size =\"47770624\"]\n  8 [size=\"81547947\", alpha=\"0.07\", expect_size=\"24464384\"] \n  8 -> 34 [size =\"24464384\"]\n  9 [size=\"56326827\", alpha=\"0.11\", expect_size=\"16898048\"] \n  9 -> 29 [size =\"16898048\"]\n  9 -> 30 [size =\"16898048\"]\n  9 -> 32 [size =\"16898048\"]\n  10 [size=\"50203307\", alpha=\"0.07\", expect_size=\"15060992\"] \n  10 -> 35 [size =\"15060992\"]\n  10 -> 38 [size =\"15060992\"]\n  10 -> 40 [size =\"15060992\"]\n  11 [size=\"107704320\", alpha=\"0.03\", expect_size=\"32311296\"] \n  11 -> 29 [size =\"32311296\"]\n  11 -> 38 [size =\"32311296\"]\n  11 -> 40 [size =\"32311296\"]\n  12 [size=\"77813760\", alpha=\"0.16\", expect_size=\"23344128\"] \n  12 -> 35 [size =\"23344128\"]\n  12 -> 36 [size =\"23344128\"]\n  12 -> 38 [size =\"23344128\"]\n  13 [size=\"144527360\", alpha=\"0.01\", expect_size=\"43358208\"] \n  13 -> 30 [size =\"43358208\"]\n  13 -> 31 [size =\"43358208\"]\n  13 -> 36 [size =\"43358208\"]\n  13 -> 40 [size =\"43358208\"]\n  14 [size=\"94262613\", alpha=\"0.17\", expect_size=\"28278784\"] \n  14 -> 30 [size =\"28278784\"]\n  14 -> 36 [size =\"28278784\"]\n  14 -> 36 [size =\"28278784\"]\n  14 -> 37 [size =\"28278784\"]\n  14 -> 39 [size =\"28278784\"]\n  14 -> 40 [size =\"28278784\"]\n  15 [size=\"58688853\", alpha=\"0.19\", expect_size=\"17606656\"] \n  15 -> 30 [size =\"17606656\"]\n  15 -> 31 [size =\"17606656\"]\n  15 -> 36 [size =\"17606656\"]\n  15 -> 37 [size =\"17606656\"]\n  16 [size=\"33556480\", alpha=\"0.02\", expect_size=\"10066944\"] \n  16 -> 37 [size =\"10066944\"]\n  17 [size=\"61876907\", alpha=\"0.11\", expect_size=\"18563072\"] \n  17 -> 35 [size =\"18563072\"]\n  17 -> 36 [size =\"18563072\"]\n  17 -> 39 [size =\"18563072\"]\n  18 [size=\"167703893\", alpha=\"0.05\", expect_size=\"50311168\"] \n  18 -> 30 [size =\"50311168\"]\n  18 -> 32 [size =\"50311168\"]\n  18 -> 35 [size =\"50311168\"]\n  18 -> 36 [size =\"50311168\"]\n  18 -> 37 [size =\"50311168\"]\n  19 [size=\"65983147\", alpha=\"0.12\", expect_size=\"19794944\"] \n  19 -> 32 [size =\"19794944\"]\n  20 [size=\"153381547\", alpha=\"0.10\", expect_size=\"46014464\"] \n  20 -> 33 [size =\"46014464\"]\n  21 [size=\"54132053\", alpha=\"0.19\", expect_size=\"16239616\"] \n  21 -> 30 [size =\"16239616\"]\n  21 -> 33 [size =\"16239616\"]\n  21 -> 35 [size =\"16239616\"]\n  21 -> 40 [size =\"16239616\"]\n  22 [size=\"73966933\", alpha=\"0.15\", expect_size=\"22190080\"] \n  22 -> 30 [size =\"22190080\"]\n  22 -> 32 [size =\"22190080\"]\n  22 -> 33 [size =\"22190080\"]\n  22 -> 35 [size =\"22190080\"]\n  22 -> 38 [size =\"22190080\"]\n  23 [size=\"40628907\", alpha=\"0.01\", expect_size=\"12188672\"] \n  23 -> 29 [size =\"12188672\"]\n  23 -> 30 [size =\"12188672\"]\n  23 -> 32 [size =\"12188672\"]\n  23 -> 33 [size =\"12188672\"]\n  24 [size=\"47476053\", alpha=\"0.02\", expect_size=\"14242816\"] \n  24 -> 32 [size =\"14242816\"]\n  24 -> 39 [size =\"14242816\"]\n  24 -> 40 [size =\"14242816\"]\n  25 [size=\"27791360\", alpha=\"0.09\", expect_size=\"8337408\"] \n  25 -> 30 [size =\"8337408\"]\n  25 -> 33 [size =\"8337408\"]\n  25 -> 39 [size =\"8337408\"]\n  26 [size=\"19159040\", alpha=\"0.11\", expect_size=\"5747712\"] \n  26 -> 32 [size =\"5747712\"]\n  26 -> 33 [size =\"5747712\"]\n  27 [size=\"35720533\", alpha=\"0.11\", expect_size=\"10716160\"] \n  27 -> 30 [size =\"10716160\"]\n  27 -> 32 [size =\"10716160\"]\n  27 -> 33 [size =\"10716160\"]\n  27 -> 37 [size =\"10716160\"]\n  27 -> 38 [size =\"10716160\"]\n  27 -> 39 [size =\"10716160\"]\n  27 -> 40 [size =\"10716160\"]\n  28 [size=\"120487253\", alpha=\"0.19\", expect_size=\"36146176\"] \n  28 -> 32 [size =\"36146176\"]\n  28 -> 40 [size =\"36146176\"]\n  29 [size=\"161024000\", alpha=\"0.12\", expect_size=\"48307200\"] \n  30 [size=\"99095893\", alpha=\"0.09\", expect_size=\"29728768\"] \n  31 [size=\"19418453\", alpha=\"0.18\", expect_size=\"5825536\"] \n  32 [size=\"170072747\", alpha=\"0.14\", expect_size=\"51021824\"] \n  33 [size=\"130044587\", alpha=\"0.07\", expect_size=\"39013376\"] \n  34 [size=\"139991040\", alpha=\"0.09\", expect_size=\"41997312\"] \n  35 [size=\"152111787\", alpha=\"0.17\", expect_size=\"45633536\"] \n  36 [size=\"67471360\", alpha=\"0.06\", expect_size=\"20241408\"] \n  37 [size=\"155282773\", alpha=\"0.02\", expect_size=\"46584832\"] \n  38 [size=\"85456213\", alpha=\"0.16\", expect_size=\"25636864\"] \n  39 [size=\"79346347\", alpha=\"0.16\", expect_size=\"23803904\"] \n  40 [size=\"18524160\", alpha=\"0.14\", expect_size=\"5557248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27664384\", alpha=\"0.14\", expect_size=\"13832192\"] \n  1 -> 28 [size =\"13832192\"]\n  1 -> 30 [size =\"13832192\"]\n  1 -> 35 [size =\"13832192\"]\n  1 -> 37 [size =\"13832192\"]\n  2 [size=\"35446784\", alpha=\"0.10\", expect_size=\"17723392\"] \n  2 -> 28 [size =\"17723392\"]\n  2 -> 32 [size =\"17723392\"]\n  2 -> 37 [size =\"17723392\"]\n  2 -> 38 [size =\"17723392\"]\n  3 [size=\"70948864\", alpha=\"0.14\", expect_size=\"35474432\"] \n  3 -> 28 [size =\"35474432\"]\n  3 -> 29 [size =\"35474432\"]\n  3 -> 39 [size =\"35474432\"]\n  4 [size=\"59525120\", alpha=\"0.18\", expect_size=\"29762560\"] \n  4 -> 28 [size =\"29762560\"]\n  4 -> 33 [size =\"29762560\"]\n  4 -> 37 [size =\"29762560\"]\n  4 -> 38 [size =\"29762560\"]\n  4 -> 40 [size =\"29762560\"]\n  5 [size=\"91084800\", alpha=\"0.04\", expect_size=\"45542400\"] \n  5 -> 29 [size =\"45542400\"]\n  5 -> 34 [size =\"45542400\"]\n  5 -> 35 [size =\"45542400\"]\n  5 -> 37 [size =\"45542400\"]\n  5 -> 38 [size =\"45542400\"]\n  6 [size=\"33144832\", alpha=\"0.10\", expect_size=\"16572416\"] \n  6 -> 30 [size =\"16572416\"]\n  6 -> 34 [size =\"16572416\"]\n  6 -> 35 [size =\"16572416\"]\n  6 -> 36 [size =\"16572416\"]\n  6 -> 37 [size =\"16572416\"]\n  6 -> 38 [size =\"16572416\"]\n  7 [size=\"62015488\", alpha=\"0.11\", expect_size=\"31007744\"] \n  7 -> 28 [size =\"31007744\"]\n  7 -> 30 [size =\"31007744\"]\n  7 -> 31 [size =\"31007744\"]\n  7 -> 34 [size =\"31007744\"]\n  7 -> 35 [size =\"31007744\"]\n  7 -> 36 [size =\"31007744\"]\n  7 -> 37 [size =\"31007744\"]\n  7 -> 38 [size =\"31007744\"]\n  8 [size=\"71792640\", alpha=\"0.16\", expect_size=\"35896320\"] \n  8 -> 33 [size =\"35896320\"]\n  8 -> 34 [size =\"35896320\"]\n  8 -> 35 [size =\"35896320\"]\n  8 -> 38 [size =\"35896320\"]\n  8 -> 39 [size =\"35896320\"]\n  8 -> 40 [size =\"35896320\"]\n  9 [size=\"73381888\", alpha=\"0.05\", expect_size=\"36690944\"] \n  9 -> 28 [size =\"36690944\"]\n  9 -> 31 [size =\"36690944\"]\n  9 -> 33 [size =\"36690944\"]\n  9 -> 34 [size =\"36690944\"]\n  9 -> 35 [size =\"36690944\"]\n  9 -> 38 [size =\"36690944\"]\n  9 -> 39 [size =\"36690944\"]\n  10 [size=\"89329664\", alpha=\"0.15\", expect_size=\"44664832\"] \n  10 -> 29 [size =\"44664832\"]\n  10 -> 33 [size =\"44664832\"]\n  10 -> 36 [size =\"44664832\"]\n  10 -> 38 [size =\"44664832\"]\n  10 -> 39 [size =\"44664832\"]\n  10 -> 40 [size =\"44664832\"]\n  11 [size=\"13015040\", alpha=\"0.03\", expect_size=\"6507520\"] \n  11 -> 36 [size =\"6507520\"]\n  11 -> 39 [size =\"6507520\"]\n  12 [size=\"76935168\", alpha=\"0.01\", expect_size=\"38467584\"] \n  12 -> 28 [size =\"38467584\"]\n  12 -> 38 [size =\"38467584\"]\n  13 [size=\"30992384\", alpha=\"0.09\", expect_size=\"15496192\"] \n  13 -> 33 [size =\"15496192\"]\n  13 -> 39 [size =\"15496192\"]\n  14 [size=\"96849920\", alpha=\"0.02\", expect_size=\"48424960\"] \n  14 -> 29 [size =\"48424960\"]\n  14 -> 35 [size =\"48424960\"]\n  14 -> 36 [size =\"48424960\"]\n  14 -> 38 [size =\"48424960\"]\n  14 -> 39 [size =\"48424960\"]\n  14 -> 40 [size =\"48424960\"]\n  15 [size=\"85082112\", alpha=\"0.01\", expect_size=\"42541056\"] \n  15 -> 33 [size =\"42541056\"]\n  15 -> 34 [size =\"42541056\"]\n  15 -> 35 [size =\"42541056\"]\n  15 -> 36 [size =\"42541056\"]\n  15 -> 38 [size =\"42541056\"]\n  15 -> 39 [size =\"42541056\"]\n  16 [size=\"104009728\", alpha=\"0.12\", expect_size=\"52004864\"] \n  16 -> 28 [size =\"52004864\"]\n  16 -> 29 [size =\"52004864\"]\n  16 -> 31 [size =\"52004864\"]\n  16 -> 32 [size =\"52004864\"]\n  16 -> 34 [size =\"52004864\"]\n  16 -> 36 [size =\"52004864\"]\n  16 -> 37 [size =\"52004864\"]\n  16 -> 38 [size =\"52004864\"]\n  16 -> 39 [size =\"52004864\"]\n  17 [size=\"56823808\", alpha=\"0.03\", expect_size=\"28411904\"] \n  17 -> 28 [size =\"28411904\"]\n  17 -> 31 [size =\"28411904\"]\n  17 -> 34 [size =\"28411904\"]\n  17 -> 36 [size =\"28411904\"]\n  17 -> 37 [size =\"28411904\"]\n  17 -> 39 [size =\"28411904\"]\n  18 [size=\"16582656\", alpha=\"0.17\", expect_size=\"8291328\"] \n  18 -> 28 [size =\"8291328\"]\n  18 -> 36 [size =\"8291328\"]\n  18 -> 39 [size =\"8291328\"]\n  18 -> 40 [size =\"8291328\"]\n  19 [size=\"92608512\", alpha=\"0.11\", expect_size=\"46304256\"] \n  19 -> 30 [size =\"46304256\"]\n  19 -> 31 [size =\"46304256\"]\n  19 -> 35 [size =\"46304256\"]\n  19 -> 39 [size =\"46304256\"]\n  20 [size=\"20205568\", alpha=\"0.13\", expect_size=\"10102784\"] \n  20 -> 31 [size =\"10102784\"]\n  20 -> 36 [size =\"10102784\"]\n  20 -> 39 [size =\"10102784\"]\n  20 -> 40 [size =\"10102784\"]\n  21 [size=\"92002304\", alpha=\"0.19\", expect_size=\"46001152\"] \n  21 -> 29 [size =\"46001152\"]\n  21 -> 32 [size =\"46001152\"]\n  21 -> 34 [size =\"46001152\"]\n  21 -> 38 [size =\"46001152\"]\n  21 -> 39 [size =\"46001152\"]\n  21 -> 40 [size =\"46001152\"]\n  22 [size=\"12324864\", alpha=\"0.11\", expect_size=\"6162432\"] \n  22 -> 36 [size =\"6162432\"]\n  22 -> 38 [size =\"6162432\"]\n  22 -> 39 [size =\"6162432\"]\n  23 [size=\"15800320\", alpha=\"0.15\", expect_size=\"7900160\"] \n  23 -> 28 [size =\"7900160\"]\n  23 -> 31 [size =\"7900160\"]\n  23 -> 35 [size =\"7900160\"]\n  24 [size=\"59064320\", alpha=\"0.09\", expect_size=\"29532160\"] \n  24 -> 28 [size =\"29532160\"]\n  24 -> 31 [size =\"29532160\"]\n  24 -> 35 [size =\"29532160\"]\n  24 -> 38 [size =\"29532160\"]\n  24 -> 40 [size =\"29532160\"]\n  25 [size=\"67428352\", alpha=\"0.00\", expect_size=\"33714176\"] \n  25 -> 28 [size =\"33714176\"]\n  25 -> 32 [size =\"33714176\"]\n  25 -> 35 [size =\"33714176\"]\n  25 -> 38 [size =\"33714176\"]\n  25 -> 39 [size =\"33714176\"]\n  25 -> 40 [size =\"33714176\"]\n  26 [size=\"74407936\", alpha=\"0.17\", expect_size=\"37203968\"] \n  26 -> 28 [size =\"37203968\"]\n  26 -> 32 [size =\"37203968\"]\n  26 -> 34 [size =\"37203968\"]\n  26 -> 35 [size =\"37203968\"]\n  26 -> 39 [size =\"37203968\"]\n  27 [size=\"38164480\", alpha=\"0.04\", expect_size=\"19082240\"] \n  27 -> 28 [size =\"19082240\"]\n  27 -> 32 [size =\"19082240\"]\n  27 -> 34 [size =\"19082240\"]\n  27 -> 35 [size =\"19082240\"]\n  27 -> 36 [size =\"19082240\"]\n  27 -> 37 [size =\"19082240\"]\n  28 [size=\"52600832\", alpha=\"0.04\", expect_size=\"26300416\"] \n  29 [size=\"36126720\", alpha=\"0.18\", expect_size=\"18063360\"] \n  30 [size=\"88877056\", alpha=\"0.08\", expect_size=\"44438528\"] \n  31 [size=\"57903104\", alpha=\"0.19\", expect_size=\"28951552\"] \n  32 [size=\"54753280\", alpha=\"0.03\", expect_size=\"27376640\"] \n  33 [size=\"104392704\", alpha=\"0.13\", expect_size=\"52196352\"] \n  34 [size=\"78542848\", alpha=\"0.00\", expect_size=\"39271424\"] \n  35 [size=\"26245120\", alpha=\"0.03\", expect_size=\"13122560\"] \n  36 [size=\"28094464\", alpha=\"0.07\", expect_size=\"14047232\"] \n  37 [size=\"12384256\", alpha=\"0.20\", expect_size=\"6192128\"] \n  38 [size=\"30642176\", alpha=\"0.14\", expect_size=\"15321088\"] \n  39 [size=\"49803264\", alpha=\"0.05\", expect_size=\"24901632\"] \n  40 [size=\"38393856\", alpha=\"0.19\", expect_size=\"19196928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64376832\", alpha=\"0.19\", expect_size=\"32188416\"] \n  1 -> 4 [size =\"32188416\"]\n  1 -> 5 [size =\"32188416\"]\n  2 [size=\"89075712\", alpha=\"0.13\", expect_size=\"44537856\"] \n  2 -> 3 [size =\"44537856\"]\n  2 -> 4 [size =\"44537856\"]\n  3 [size=\"56782848\", alpha=\"0.03\", expect_size=\"28391424\"] \n  3 -> 7 [size =\"28391424\"]\n  4 [size=\"83941376\", alpha=\"0.13\", expect_size=\"41970688\"] \n  4 -> 6 [size =\"41970688\"]\n  4 -> 7 [size =\"41970688\"]\n  5 [size=\"98752512\", alpha=\"0.07\", expect_size=\"49376256\"] \n  5 -> 6 [size =\"49376256\"]\n  6 [size=\"27852800\", alpha=\"0.13\", expect_size=\"13926400\"] \n  6 -> 8 [size =\"13926400\"]\n  6 -> 9 [size =\"13926400\"]\n  7 [size=\"78807040\", alpha=\"0.07\", expect_size=\"39403520\"] \n  7 -> 9 [size =\"39403520\"]\n  7 -> 10 [size =\"39403520\"]\n  8 [size=\"41893888\", alpha=\"0.12\", expect_size=\"20946944\"] \n  8 -> 11 [size =\"20946944\"]\n  8 -> 12 [size =\"20946944\"]\n  9 [size=\"98301952\", alpha=\"0.19\", expect_size=\"49150976\"] \n  9 -> 11 [size =\"49150976\"]\n  9 -> 12 [size =\"49150976\"]\n  10 [size=\"45531136\", alpha=\"0.16\", expect_size=\"22765568\"] \n  10 -> 11 [size =\"22765568\"]\n  10 -> 12 [size =\"22765568\"]\n  10 -> 13 [size =\"22765568\"]\n  11 [size=\"37425152\", alpha=\"0.02\", expect_size=\"18712576\"] \n  11 -> 14 [size =\"18712576\"]\n  12 [size=\"31725568\", alpha=\"0.16\", expect_size=\"15862784\"] \n  12 -> 14 [size =\"15862784\"]\n  13 [size=\"93886464\", alpha=\"0.04\", expect_size=\"46943232\"] \n  13 -> 15 [size =\"46943232\"]\n  13 -> 16 [size =\"46943232\"]\n  14 [size=\"13389824\", alpha=\"0.06\", expect_size=\"6694912\"] \n  14 -> 18 [size =\"6694912\"]\n  14 -> 19 [size =\"6694912\"]\n  15 [size=\"74016768\", alpha=\"0.05\", expect_size=\"37008384\"] \n  15 -> 18 [size =\"37008384\"]\n  16 [size=\"14141440\", alpha=\"0.15\", expect_size=\"7070720\"] \n  16 -> 17 [size =\"7070720\"]\n  16 -> 18 [size =\"7070720\"]\n  16 -> 19 [size =\"7070720\"]\n  17 [size=\"76052480\", alpha=\"0.16\", expect_size=\"38026240\"] \n  17 -> 20 [size =\"38026240\"]\n  17 -> 22 [size =\"38026240\"]\n  18 [size=\"16197632\", alpha=\"0.09\", expect_size=\"8098816\"] \n  18 -> 20 [size =\"8098816\"]\n  18 -> 21 [size =\"8098816\"]\n  18 -> 22 [size =\"8098816\"]\n  19 [size=\"74850304\", alpha=\"0.06\", expect_size=\"37425152\"] \n  19 -> 20 [size =\"37425152\"]\n  19 -> 21 [size =\"37425152\"]\n  20 [size=\"71983104\", alpha=\"0.13\", expect_size=\"35991552\"] \n  20 -> 23 [size =\"35991552\"]\n  21 [size=\"54263808\", alpha=\"0.12\", expect_size=\"27131904\"] \n  22 [size=\"62480384\", alpha=\"0.07\", expect_size=\"31240192\"] \n  22 -> 23 [size =\"31240192\"]\n  22 -> 24 [size =\"31240192\"]\n  23 [size=\"42192896\", alpha=\"0.12\", expect_size=\"21096448\"] \n  23 -> 26 [size =\"21096448\"]\n  24 [size=\"59678720\", alpha=\"0.13\", expect_size=\"29839360\"] \n  24 -> 25 [size =\"29839360\"]\n  24 -> 26 [size =\"29839360\"]\n  24 -> 27 [size =\"29839360\"]\n  25 [size=\"86216704\", alpha=\"0.12\", expect_size=\"43108352\"] \n  25 -> 28 [size =\"43108352\"]\n  26 [size=\"16013312\", alpha=\"0.15\", expect_size=\"8006656\"] \n  26 -> 28 [size =\"8006656\"]\n  26 -> 29 [size =\"8006656\"]\n  27 [size=\"86870016\", alpha=\"0.12\", expect_size=\"43435008\"] \n  27 -> 29 [size =\"43435008\"]\n  28 [size=\"67409920\", alpha=\"0.16\", expect_size=\"33704960\"] \n  28 -> 30 [size =\"33704960\"]\n  29 [size=\"14909440\", alpha=\"0.19\", expect_size=\"7454720\"] \n  29 -> 30 [size =\"7454720\"]\n  29 -> 31 [size =\"7454720\"]\n  30 [size=\"44627968\", alpha=\"0.09\", expect_size=\"22313984\"] \n  30 -> 32 [size =\"22313984\"]\n  30 -> 33 [size =\"22313984\"]\n  31 [size=\"13557760\", alpha=\"0.05\", expect_size=\"6778880\"] \n  31 -> 32 [size =\"6778880\"]\n  32 [size=\"69959680\", alpha=\"0.06\", expect_size=\"34979840\"] \n  32 -> 35 [size =\"34979840\"]\n  33 [size=\"103684096\", alpha=\"0.04\", expect_size=\"51842048\"] \n  33 -> 34 [size =\"51842048\"]\n  33 -> 35 [size =\"51842048\"]\n  34 [size=\"66656256\", alpha=\"0.02\", expect_size=\"33328128\"] \n  34 -> 36 [size =\"33328128\"]\n  34 -> 38 [size =\"33328128\"]\n  35 [size=\"32329728\", alpha=\"0.14\", expect_size=\"16164864\"] \n  35 -> 36 [size =\"16164864\"]\n  35 -> 37 [size =\"16164864\"]\n  35 -> 38 [size =\"16164864\"]\n  36 [size=\"88971264\", alpha=\"0.07\", expect_size=\"44485632\"] \n  37 [size=\"65210368\", alpha=\"0.14\", expect_size=\"32605184\"] \n  37 -> 39 [size =\"32605184\"]\n  38 [size=\"29366272\", alpha=\"0.02\", expect_size=\"14683136\"] \n  38 -> 39 [size =\"14683136\"]\n  38 -> 40 [size =\"14683136\"]\n  39 [size=\"12847104\", alpha=\"0.04\", expect_size=\"6423552\"] \n  40 [size=\"103473152\", alpha=\"0.18\", expect_size=\"51736576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94515200\", alpha=\"0.16\", expect_size=\"37806080\"] \n  1 -> 2 [size =\"37806080\"]\n  2 [size=\"25692160\", alpha=\"0.04\", expect_size=\"10276864\"] \n  2 -> 3 [size =\"10276864\"]\n  3 [size=\"105912320\", alpha=\"0.17\", expect_size=\"42364928\"] \n  3 -> 4 [size =\"42364928\"]\n  4 [size=\"82152960\", alpha=\"0.18\", expect_size=\"32861184\"] \n  4 -> 5 [size =\"32861184\"]\n  5 [size=\"122426880\", alpha=\"0.11\", expect_size=\"48970752\"] \n  5 -> 6 [size =\"48970752\"]\n  6 [size=\"83619840\", alpha=\"0.17\", expect_size=\"33447936\"] \n  6 -> 7 [size =\"33447936\"]\n  7 [size=\"129372160\", alpha=\"0.14\", expect_size=\"51748864\"] \n  7 -> 8 [size =\"51748864\"]\n  8 [size=\"100318720\", alpha=\"0.01\", expect_size=\"40127488\"] \n  8 -> 9 [size =\"40127488\"]\n  9 [size=\"97085440\", alpha=\"0.06\", expect_size=\"38834176\"] \n  9 -> 10 [size =\"38834176\"]\n  10 [size=\"14760960\", alpha=\"0.03\", expect_size=\"5904384\"] \n  10 -> 11 [size =\"5904384\"]\n  11 [size=\"77442560\", alpha=\"0.12\", expect_size=\"30977024\"] \n  11 -> 12 [size =\"30977024\"]\n  12 [size=\"56634880\", alpha=\"0.08\", expect_size=\"22653952\"] \n  12 -> 13 [size =\"22653952\"]\n  13 [size=\"80993280\", alpha=\"0.08\", expect_size=\"32397312\"] \n  13 -> 14 [size =\"32397312\"]\n  14 [size=\"64238080\", alpha=\"0.15\", expect_size=\"25695232\"] \n  14 -> 15 [size =\"25695232\"]\n  15 [size=\"54507520\", alpha=\"0.12\", expect_size=\"21803008\"] \n  15 -> 16 [size =\"21803008\"]\n  16 [size=\"118369280\", alpha=\"0.13\", expect_size=\"47347712\"] \n  16 -> 17 [size =\"47347712\"]\n  17 [size=\"99778560\", alpha=\"0.14\", expect_size=\"39911424\"] \n  17 -> 18 [size =\"39911424\"]\n  18 [size=\"65945600\", alpha=\"0.04\", expect_size=\"26378240\"] \n  18 -> 19 [size =\"26378240\"]\n  19 [size=\"73420800\", alpha=\"0.05\", expect_size=\"29368320\"] \n  19 -> 20 [size =\"29368320\"]\n  20 [size=\"108346880\", alpha=\"0.20\", expect_size=\"43338752\"] \n  20 -> 21 [size =\"43338752\"]\n  21 [size=\"127600640\", alpha=\"0.09\", expect_size=\"51040256\"] \n  21 -> 22 [size =\"51040256\"]\n  22 [size=\"82380800\", alpha=\"0.20\", expect_size=\"32952320\"] \n  22 -> 23 [size =\"32952320\"]\n  23 [size=\"128622080\", alpha=\"0.07\", expect_size=\"51448832\"] \n  23 -> 24 [size =\"51448832\"]\n  24 [size=\"60152320\", alpha=\"0.05\", expect_size=\"24060928\"] \n  24 -> 25 [size =\"24060928\"]\n  25 [size=\"33436160\", alpha=\"0.02\", expect_size=\"13374464\"] \n  25 -> 26 [size =\"13374464\"]\n  26 [size=\"103877120\", alpha=\"0.11\", expect_size=\"41550848\"] \n  26 -> 27 [size =\"41550848\"]\n  27 [size=\"61852160\", alpha=\"0.00\", expect_size=\"24740864\"] \n  27 -> 28 [size =\"24740864\"]\n  28 [size=\"26629120\", alpha=\"0.04\", expect_size=\"10651648\"] \n  28 -> 29 [size =\"10651648\"]\n  29 [size=\"52672000\", alpha=\"0.01\", expect_size=\"21068800\"] \n  29 -> 30 [size =\"21068800\"]\n  30 [size=\"80202240\", alpha=\"0.19\", expect_size=\"32080896\"] \n  30 -> 31 [size =\"32080896\"]\n  31 [size=\"79214080\", alpha=\"0.08\", expect_size=\"31685632\"] \n  31 -> 32 [size =\"31685632\"]\n  32 [size=\"13153280\", alpha=\"0.05\", expect_size=\"5261312\"] \n  32 -> 33 [size =\"5261312\"]\n  33 [size=\"130531840\", alpha=\"0.13\", expect_size=\"52212736\"] \n  33 -> 34 [size =\"52212736\"]\n  34 [size=\"52298240\", alpha=\"0.09\", expect_size=\"20919296\"] \n  34 -> 35 [size =\"20919296\"]\n  35 [size=\"83427840\", alpha=\"0.13\", expect_size=\"33371136\"] \n  35 -> 36 [size =\"33371136\"]\n  36 [size=\"97313280\", alpha=\"0.14\", expect_size=\"38925312\"] \n  36 -> 37 [size =\"38925312\"]\n  37 [size=\"46504960\", alpha=\"0.10\", expect_size=\"18601984\"] \n  37 -> 38 [size =\"18601984\"]\n  38 [size=\"47265280\", alpha=\"0.15\", expect_size=\"18906112\"] \n  38 -> 39 [size =\"18906112\"]\n  39 [size=\"68846080\", alpha=\"0.10\", expect_size=\"27538432\"] \n  39 -> 40 [size =\"27538432\"]\n  40 [size=\"77260800\", alpha=\"0.02\", expect_size=\"30904320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50386944\", alpha=\"0.06\", expect_size=\"25193472\"] \n  1 -> 4 [size =\"25193472\"]\n  2 [size=\"71135232\", alpha=\"0.15\", expect_size=\"35567616\"] \n  2 -> 5 [size =\"35567616\"]\n  3 [size=\"46309376\", alpha=\"0.12\", expect_size=\"23154688\"] \n  4 [size=\"30959616\", alpha=\"0.00\", expect_size=\"15479808\"] \n  4 -> 6 [size =\"15479808\"]\n  4 -> 7 [size =\"15479808\"]\n  5 [size=\"19560448\", alpha=\"0.11\", expect_size=\"9780224\"] \n  5 -> 7 [size =\"9780224\"]\n  6 [size=\"15818752\", alpha=\"0.19\", expect_size=\"7909376\"] \n  6 -> 8 [size =\"7909376\"]\n  6 -> 9 [size =\"7909376\"]\n  6 -> 10 [size =\"7909376\"]\n  7 [size=\"79417344\", alpha=\"0.02\", expect_size=\"39708672\"] \n  7 -> 8 [size =\"39708672\"]\n  7 -> 9 [size =\"39708672\"]\n  7 -> 10 [size =\"39708672\"]\n  8 [size=\"62748672\", alpha=\"0.09\", expect_size=\"31374336\"] \n  8 -> 11 [size =\"31374336\"]\n  8 -> 12 [size =\"31374336\"]\n  9 [size=\"39913472\", alpha=\"0.12\", expect_size=\"19956736\"] \n  9 -> 11 [size =\"19956736\"]\n  10 [size=\"61857792\", alpha=\"0.09\", expect_size=\"30928896\"] \n  10 -> 11 [size =\"30928896\"]\n  10 -> 12 [size =\"30928896\"]\n  11 [size=\"44894208\", alpha=\"0.04\", expect_size=\"22447104\"] \n  11 -> 13 [size =\"22447104\"]\n  11 -> 14 [size =\"22447104\"]\n  12 [size=\"74188800\", alpha=\"0.11\", expect_size=\"37094400\"] \n  12 -> 14 [size =\"37094400\"]\n  13 [size=\"50450432\", alpha=\"0.13\", expect_size=\"25225216\"] \n  13 -> 15 [size =\"25225216\"]\n  13 -> 16 [size =\"25225216\"]\n  13 -> 17 [size =\"25225216\"]\n  14 [size=\"11186176\", alpha=\"0.13\", expect_size=\"5593088\"] \n  14 -> 15 [size =\"5593088\"]\n  14 -> 16 [size =\"5593088\"]\n  15 [size=\"11833344\", alpha=\"0.15\", expect_size=\"5916672\"] \n  15 -> 18 [size =\"5916672\"]\n  15 -> 19 [size =\"5916672\"]\n  15 -> 20 [size =\"5916672\"]\n  16 [size=\"65239040\", alpha=\"0.03\", expect_size=\"32619520\"] \n  16 -> 18 [size =\"32619520\"]\n  16 -> 19 [size =\"32619520\"]\n  16 -> 20 [size =\"32619520\"]\n  17 [size=\"61050880\", alpha=\"0.20\", expect_size=\"30525440\"] \n  17 -> 18 [size =\"30525440\"]\n  17 -> 19 [size =\"30525440\"]\n  18 [size=\"70473728\", alpha=\"0.10\", expect_size=\"35236864\"] \n  18 -> 21 [size =\"35236864\"]\n  18 -> 22 [size =\"35236864\"]\n  19 [size=\"19341312\", alpha=\"0.05\", expect_size=\"9670656\"] \n  19 -> 21 [size =\"9670656\"]\n  19 -> 22 [size =\"9670656\"]\n  20 [size=\"77871104\", alpha=\"0.12\", expect_size=\"38935552\"] \n  20 -> 21 [size =\"38935552\"]\n  20 -> 22 [size =\"38935552\"]\n  21 [size=\"24502272\", alpha=\"0.07\", expect_size=\"12251136\"] \n  21 -> 23 [size =\"12251136\"]\n  21 -> 25 [size =\"12251136\"]\n  22 [size=\"45668352\", alpha=\"0.15\", expect_size=\"22834176\"] \n  22 -> 23 [size =\"22834176\"]\n  22 -> 24 [size =\"22834176\"]\n  22 -> 25 [size =\"22834176\"]\n  23 [size=\"97667072\", alpha=\"0.10\", expect_size=\"48833536\"] \n  23 -> 26 [size =\"48833536\"]\n  23 -> 27 [size =\"48833536\"]\n  24 [size=\"66977792\", alpha=\"0.10\", expect_size=\"33488896\"] \n  24 -> 26 [size =\"33488896\"]\n  25 [size=\"35665920\", alpha=\"0.12\", expect_size=\"17832960\"] \n  26 [size=\"11589632\", alpha=\"0.15\", expect_size=\"5794816\"] \n  26 -> 29 [size =\"5794816\"]\n  27 [size=\"26951680\", alpha=\"0.12\", expect_size=\"13475840\"] \n  27 -> 28 [size =\"13475840\"]\n  27 -> 29 [size =\"13475840\"]\n  28 [size=\"26150912\", alpha=\"0.01\", expect_size=\"13075456\"] \n  28 -> 30 [size =\"13075456\"]\n  28 -> 31 [size =\"13075456\"]\n  29 [size=\"74328064\", alpha=\"0.16\", expect_size=\"37164032\"] \n  29 -> 30 [size =\"37164032\"]\n  29 -> 31 [size =\"37164032\"]\n  30 [size=\"99041280\", alpha=\"0.01\", expect_size=\"49520640\"] \n  30 -> 32 [size =\"49520640\"]\n  30 -> 33 [size =\"49520640\"]\n  30 -> 34 [size =\"49520640\"]\n  31 [size=\"60522496\", alpha=\"0.14\", expect_size=\"30261248\"] \n  31 -> 33 [size =\"30261248\"]\n  31 -> 34 [size =\"30261248\"]\n  32 [size=\"93046784\", alpha=\"0.01\", expect_size=\"46523392\"] \n  32 -> 35 [size =\"46523392\"]\n  32 -> 36 [size =\"46523392\"]\n  32 -> 37 [size =\"46523392\"]\n  33 [size=\"68519936\", alpha=\"0.16\", expect_size=\"34259968\"] \n  33 -> 35 [size =\"34259968\"]\n  33 -> 36 [size =\"34259968\"]\n  34 [size=\"22769664\", alpha=\"0.11\", expect_size=\"11384832\"] \n  34 -> 36 [size =\"11384832\"]\n  34 -> 37 [size =\"11384832\"]\n  35 [size=\"70639616\", alpha=\"0.06\", expect_size=\"35319808\"] \n  35 -> 39 [size =\"35319808\"]\n  35 -> 40 [size =\"35319808\"]\n  36 [size=\"32462848\", alpha=\"0.13\", expect_size=\"16231424\"] \n  36 -> 39 [size =\"16231424\"]\n  36 -> 40 [size =\"16231424\"]\n  37 [size=\"102316032\", alpha=\"0.11\", expect_size=\"51158016\"] \n  37 -> 38 [size =\"51158016\"]\n  37 -> 39 [size =\"51158016\"]\n  37 -> 40 [size =\"51158016\"]\n  38 [size=\"66015232\", alpha=\"0.02\", expect_size=\"33007616\"] \n  39 [size=\"70199296\", alpha=\"0.14\", expect_size=\"35099648\"] \n  40 [size=\"49922048\", alpha=\"0.00\", expect_size=\"24961024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109447680\", alpha=\"0.08\", expect_size=\"43779072\"] \n  1 -> 2 [size =\"43779072\"]\n  2 [size=\"56222720\", alpha=\"0.04\", expect_size=\"22489088\"] \n  2 -> 3 [size =\"22489088\"]\n  3 [size=\"86389760\", alpha=\"0.01\", expect_size=\"34555904\"] \n  3 -> 4 [size =\"34555904\"]\n  4 [size=\"111889920\", alpha=\"0.01\", expect_size=\"44755968\"] \n  4 -> 5 [size =\"44755968\"]\n  5 [size=\"38737920\", alpha=\"0.09\", expect_size=\"15495168\"] \n  5 -> 6 [size =\"15495168\"]\n  6 [size=\"47042560\", alpha=\"0.08\", expect_size=\"18817024\"] \n  6 -> 7 [size =\"18817024\"]\n  7 [size=\"38807040\", alpha=\"0.12\", expect_size=\"15522816\"] \n  7 -> 8 [size =\"15522816\"]\n  8 [size=\"78479360\", alpha=\"0.01\", expect_size=\"31391744\"] \n  8 -> 9 [size =\"31391744\"]\n  9 [size=\"118389760\", alpha=\"0.15\", expect_size=\"47355904\"] \n  9 -> 10 [size =\"47355904\"]\n  10 [size=\"51450880\", alpha=\"0.14\", expect_size=\"20580352\"] \n  10 -> 11 [size =\"20580352\"]\n  11 [size=\"100037120\", alpha=\"0.20\", expect_size=\"40014848\"] \n  11 -> 12 [size =\"40014848\"]\n  12 [size=\"30389760\", alpha=\"0.19\", expect_size=\"12155904\"] \n  12 -> 13 [size =\"12155904\"]\n  13 [size=\"56491520\", alpha=\"0.04\", expect_size=\"22596608\"] \n  13 -> 14 [size =\"22596608\"]\n  14 [size=\"63157760\", alpha=\"0.18\", expect_size=\"25263104\"] \n  14 -> 15 [size =\"25263104\"]\n  15 [size=\"68846080\", alpha=\"0.09\", expect_size=\"27538432\"] \n  15 -> 16 [size =\"27538432\"]\n  16 [size=\"120568320\", alpha=\"0.14\", expect_size=\"48227328\"] \n  16 -> 17 [size =\"48227328\"]\n  17 [size=\"47470080\", alpha=\"0.06\", expect_size=\"18988032\"] \n  17 -> 18 [size =\"18988032\"]\n  18 [size=\"120527360\", alpha=\"0.07\", expect_size=\"48210944\"] \n  18 -> 19 [size =\"48210944\"]\n  19 [size=\"124367360\", alpha=\"0.15\", expect_size=\"49746944\"] \n  19 -> 20 [size =\"49746944\"]\n  20 [size=\"92846080\", alpha=\"0.11\", expect_size=\"37138432\"] \n  20 -> 21 [size =\"37138432\"]\n  21 [size=\"60200960\", alpha=\"0.02\", expect_size=\"24080384\"] \n  21 -> 22 [size =\"24080384\"]\n  22 [size=\"57466880\", alpha=\"0.02\", expect_size=\"22986752\"] \n  22 -> 23 [size =\"22986752\"]\n  23 [size=\"48829440\", alpha=\"0.13\", expect_size=\"19531776\"] \n  23 -> 24 [size =\"19531776\"]\n  24 [size=\"70041600\", alpha=\"0.01\", expect_size=\"28016640\"] \n  24 -> 25 [size =\"28016640\"]\n  25 [size=\"60569600\", alpha=\"0.14\", expect_size=\"24227840\"] \n  25 -> 26 [size =\"24227840\"]\n  26 [size=\"115952640\", alpha=\"0.12\", expect_size=\"46381056\"] \n  26 -> 27 [size =\"46381056\"]\n  27 [size=\"83422720\", alpha=\"0.15\", expect_size=\"33369088\"] \n  27 -> 28 [size =\"33369088\"]\n  28 [size=\"118284800\", alpha=\"0.09\", expect_size=\"47313920\"] \n  28 -> 29 [size =\"47313920\"]\n  29 [size=\"43642880\", alpha=\"0.00\", expect_size=\"17457152\"] \n  29 -> 30 [size =\"17457152\"]\n  30 [size=\"15534080\", alpha=\"0.19\", expect_size=\"6213632\"] \n  30 -> 31 [size =\"6213632\"]\n  31 [size=\"78528000\", alpha=\"0.12\", expect_size=\"31411200\"] \n  31 -> 32 [size =\"31411200\"]\n  32 [size=\"93043200\", alpha=\"0.07\", expect_size=\"37217280\"] \n  32 -> 33 [size =\"37217280\"]\n  33 [size=\"102190080\", alpha=\"0.11\", expect_size=\"40876032\"] \n  33 -> 34 [size =\"40876032\"]\n  34 [size=\"61288960\", alpha=\"0.02\", expect_size=\"24515584\"] \n  34 -> 35 [size =\"24515584\"]\n  35 [size=\"69127680\", alpha=\"0.03\", expect_size=\"27651072\"] \n  35 -> 36 [size =\"27651072\"]\n  36 [size=\"33369600\", alpha=\"0.03\", expect_size=\"13347840\"] \n  36 -> 37 [size =\"13347840\"]\n  37 [size=\"105920000\", alpha=\"0.08\", expect_size=\"42368000\"] \n  37 -> 38 [size =\"42368000\"]\n  38 [size=\"76549120\", alpha=\"0.11\", expect_size=\"30619648\"] \n  38 -> 39 [size =\"30619648\"]\n  39 [size=\"128599040\", alpha=\"0.13\", expect_size=\"51439616\"] \n  39 -> 40 [size =\"51439616\"]\n  40 [size=\"13452800\", alpha=\"0.09\", expect_size=\"5381120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32588800\", alpha=\"0.02\", expect_size=\"13035520\"] \n  1 -> 3 [size =\"13035520\"]\n  1 -> 4 [size =\"13035520\"]\n  2 [size=\"108520960\", alpha=\"0.20\", expect_size=\"43408384\"] \n  2 -> 4 [size =\"43408384\"]\n  2 -> 5 [size =\"43408384\"]\n  3 [size=\"38246400\", alpha=\"0.11\", expect_size=\"15298560\"] \n  3 -> 6 [size =\"15298560\"]\n  3 -> 7 [size =\"15298560\"]\n  3 -> 8 [size =\"15298560\"]\n  4 [size=\"91018240\", alpha=\"0.06\", expect_size=\"36407296\"] \n  5 [size=\"130762240\", alpha=\"0.11\", expect_size=\"52304896\"] \n  5 -> 8 [size =\"52304896\"]\n  6 [size=\"59924480\", alpha=\"0.03\", expect_size=\"23969792\"] \n  7 [size=\"114316800\", alpha=\"0.14\", expect_size=\"45726720\"] \n  7 -> 10 [size =\"45726720\"]\n  8 [size=\"28853760\", alpha=\"0.16\", expect_size=\"11541504\"] \n  8 -> 9 [size =\"11541504\"]\n  9 [size=\"41405440\", alpha=\"0.12\", expect_size=\"16562176\"] \n  9 -> 11 [size =\"16562176\"]\n  9 -> 12 [size =\"16562176\"]\n  10 [size=\"82629120\", alpha=\"0.18\", expect_size=\"33051648\"] \n  10 -> 11 [size =\"33051648\"]\n  10 -> 13 [size =\"33051648\"]\n  11 [size=\"44042240\", alpha=\"0.16\", expect_size=\"17616896\"] \n  11 -> 14 [size =\"17616896\"]\n  11 -> 15 [size =\"17616896\"]\n  11 -> 16 [size =\"17616896\"]\n  12 [size=\"55895040\", alpha=\"0.09\", expect_size=\"22358016\"] \n  12 -> 16 [size =\"22358016\"]\n  13 [size=\"54274560\", alpha=\"0.01\", expect_size=\"21709824\"] \n  13 -> 15 [size =\"21709824\"]\n  14 [size=\"116515840\", alpha=\"0.08\", expect_size=\"46606336\"] \n  14 -> 17 [size =\"46606336\"]\n  14 -> 18 [size =\"46606336\"]\n  15 [size=\"36231680\", alpha=\"0.06\", expect_size=\"14492672\"] \n  15 -> 17 [size =\"14492672\"]\n  15 -> 18 [size =\"14492672\"]\n  16 [size=\"103106560\", alpha=\"0.13\", expect_size=\"41242624\"] \n  16 -> 18 [size =\"41242624\"]\n  17 [size=\"123712000\", alpha=\"0.14\", expect_size=\"49484800\"] \n  17 -> 19 [size =\"49484800\"]\n  17 -> 20 [size =\"49484800\"]\n  17 -> 21 [size =\"49484800\"]\n  18 [size=\"89640960\", alpha=\"0.12\", expect_size=\"35856384\"] \n  18 -> 19 [size =\"35856384\"]\n  18 -> 20 [size =\"35856384\"]\n  18 -> 21 [size =\"35856384\"]\n  19 [size=\"66324480\", alpha=\"0.06\", expect_size=\"26529792\"] \n  19 -> 22 [size =\"26529792\"]\n  20 [size=\"22087680\", alpha=\"0.05\", expect_size=\"8835072\"] \n  20 -> 22 [size =\"8835072\"]\n  20 -> 23 [size =\"8835072\"]\n  21 [size=\"130772480\", alpha=\"0.08\", expect_size=\"52308992\"] \n  21 -> 23 [size =\"52308992\"]\n  21 -> 23 [size =\"52308992\"]\n  22 [size=\"105635840\", alpha=\"0.08\", expect_size=\"42254336\"] \n  22 -> 25 [size =\"42254336\"]\n  23 [size=\"37859840\", alpha=\"0.11\", expect_size=\"15143936\"] \n  23 -> 24 [size =\"15143936\"]\n  24 [size=\"44989440\", alpha=\"0.08\", expect_size=\"17995776\"] \n  24 -> 26 [size =\"17995776\"]\n  24 -> 27 [size =\"17995776\"]\n  24 -> 28 [size =\"17995776\"]\n  25 [size=\"95086080\", alpha=\"0.04\", expect_size=\"38034432\"] \n  25 -> 26 [size =\"38034432\"]\n  26 [size=\"129815040\", alpha=\"0.09\", expect_size=\"51926016\"] \n  26 -> 30 [size =\"51926016\"]\n  26 -> 31 [size =\"51926016\"]\n  27 [size=\"90265600\", alpha=\"0.11\", expect_size=\"36106240\"] \n  27 -> 31 [size =\"36106240\"]\n  28 [size=\"53724160\", alpha=\"0.15\", expect_size=\"21489664\"] \n  28 -> 29 [size =\"21489664\"]\n  28 -> 31 [size =\"21489664\"]\n  29 [size=\"124008960\", alpha=\"0.04\", expect_size=\"49603584\"] \n  29 -> 32 [size =\"49603584\"]\n  29 -> 33 [size =\"49603584\"]\n  30 [size=\"39436800\", alpha=\"0.05\", expect_size=\"15774720\"] \n  31 [size=\"71226880\", alpha=\"0.11\", expect_size=\"28490752\"] \n  32 [size=\"120903680\", alpha=\"0.05\", expect_size=\"48361472\"] \n  32 -> 34 [size =\"48361472\"]\n  32 -> 35 [size =\"48361472\"]\n  33 [size=\"47946240\", alpha=\"0.05\", expect_size=\"19178496\"] \n  34 [size=\"113428480\", alpha=\"0.03\", expect_size=\"45371392\"] \n  34 -> 37 [size =\"45371392\"]\n  35 [size=\"41367040\", alpha=\"0.05\", expect_size=\"16546816\"] \n  35 -> 36 [size =\"16546816\"]\n  36 [size=\"67384320\", alpha=\"0.03\", expect_size=\"26953728\"] \n  36 -> 38 [size =\"26953728\"]\n  36 -> 39 [size =\"26953728\"]\n  36 -> 40 [size =\"26953728\"]\n  37 [size=\"120335360\", alpha=\"0.18\", expect_size=\"48134144\"] \n  37 -> 40 [size =\"48134144\"]\n  38 [size=\"65500160\", alpha=\"0.07\", expect_size=\"26200064\"] \n  39 [size=\"36590080\", alpha=\"0.05\", expect_size=\"14636032\"] \n  40 [size=\"61905920\", alpha=\"0.05\", expect_size=\"24762368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45383680\", alpha=\"0.17\", expect_size=\"13615104\"] \n  1 -> 2 [size =\"13615104\"]\n  2 [size=\"69335040\", alpha=\"0.12\", expect_size=\"20800512\"] \n  2 -> 3 [size =\"20800512\"]\n  3 [size=\"162498560\", alpha=\"0.00\", expect_size=\"48749568\"] \n  3 -> 4 [size =\"48749568\"]\n  4 [size=\"81814187\", alpha=\"0.06\", expect_size=\"24544256\"] \n  4 -> 5 [size =\"24544256\"]\n  5 [size=\"96723627\", alpha=\"0.03\", expect_size=\"29017088\"] \n  5 -> 6 [size =\"29017088\"]\n  6 [size=\"173288107\", alpha=\"0.19\", expect_size=\"51986432\"] \n  6 -> 7 [size =\"51986432\"]\n  7 [size=\"127709867\", alpha=\"0.19\", expect_size=\"38312960\"] \n  7 -> 8 [size =\"38312960\"]\n  8 [size=\"96023893\", alpha=\"0.16\", expect_size=\"28807168\"] \n  8 -> 9 [size =\"28807168\"]\n  9 [size=\"97802240\", alpha=\"0.03\", expect_size=\"29340672\"] \n  9 -> 10 [size =\"29340672\"]\n  10 [size=\"96092160\", alpha=\"0.09\", expect_size=\"28827648\"] \n  10 -> 11 [size =\"28827648\"]\n  11 [size=\"126122667\", alpha=\"0.01\", expect_size=\"37836800\"] \n  11 -> 12 [size =\"37836800\"]\n  12 [size=\"100495360\", alpha=\"0.02\", expect_size=\"30148608\"] \n  12 -> 13 [size =\"30148608\"]\n  13 [size=\"40147627\", alpha=\"0.03\", expect_size=\"12044288\"] \n  13 -> 14 [size =\"12044288\"]\n  14 [size=\"41758720\", alpha=\"0.07\", expect_size=\"12527616\"] \n  14 -> 15 [size =\"12527616\"]\n  15 [size=\"87913813\", alpha=\"0.03\", expect_size=\"26374144\"] \n  15 -> 16 [size =\"26374144\"]\n  16 [size=\"114769920\", alpha=\"0.12\", expect_size=\"34430976\"] \n  16 -> 17 [size =\"34430976\"]\n  17 [size=\"107673600\", alpha=\"0.14\", expect_size=\"32302080\"] \n  17 -> 18 [size =\"32302080\"]\n  18 [size=\"100290560\", alpha=\"0.02\", expect_size=\"30087168\"] \n  18 -> 19 [size =\"30087168\"]\n  19 [size=\"65440427\", alpha=\"0.19\", expect_size=\"19632128\"] \n  19 -> 20 [size =\"19632128\"]\n  20 [size=\"85517653\", alpha=\"0.03\", expect_size=\"25655296\"] \n  20 -> 21 [size =\"25655296\"]\n  21 [size=\"155944960\", alpha=\"0.11\", expect_size=\"46783488\"] \n  21 -> 22 [size =\"46783488\"]\n  22 [size=\"166874453\", alpha=\"0.06\", expect_size=\"50062336\"] \n  22 -> 23 [size =\"50062336\"]\n  23 [size=\"24555520\", alpha=\"0.19\", expect_size=\"7366656\"] \n  23 -> 24 [size =\"7366656\"]\n  24 [size=\"48254293\", alpha=\"0.00\", expect_size=\"14476288\"] \n  24 -> 25 [size =\"14476288\"]\n  25 [size=\"101816320\", alpha=\"0.12\", expect_size=\"30544896\"] \n  25 -> 26 [size =\"30544896\"]\n  26 [size=\"125610667\", alpha=\"0.03\", expect_size=\"37683200\"] \n  26 -> 27 [size =\"37683200\"]\n  27 [size=\"60122453\", alpha=\"0.08\", expect_size=\"18036736\"] \n  27 -> 28 [size =\"18036736\"]\n  28 [size=\"170437973\", alpha=\"0.03\", expect_size=\"51131392\"] \n  28 -> 29 [size =\"51131392\"]\n  29 [size=\"32180907\", alpha=\"0.09\", expect_size=\"9654272\"] \n  29 -> 30 [size =\"9654272\"]\n  30 [size=\"23401813\", alpha=\"0.04\", expect_size=\"7020544\"] \n  30 -> 31 [size =\"7020544\"]\n  31 [size=\"49954133\", alpha=\"0.13\", expect_size=\"14986240\"] \n  31 -> 32 [size =\"14986240\"]\n  32 [size=\"139745280\", alpha=\"0.13\", expect_size=\"41923584\"] \n  32 -> 33 [size =\"41923584\"]\n  33 [size=\"30057813\", alpha=\"0.15\", expect_size=\"9017344\"] \n  33 -> 34 [size =\"9017344\"]\n  34 [size=\"23210667\", alpha=\"0.01\", expect_size=\"6963200\"] \n  34 -> 35 [size =\"6963200\"]\n  35 [size=\"26248533\", alpha=\"0.16\", expect_size=\"7874560\"] \n  35 -> 36 [size =\"7874560\"]\n  36 [size=\"118425600\", alpha=\"0.03\", expect_size=\"35527680\"] \n  36 -> 37 [size =\"35527680\"]\n  37 [size=\"140977493\", alpha=\"0.01\", expect_size=\"42293248\"] \n  37 -> 38 [size =\"42293248\"]\n  38 [size=\"46854827\", alpha=\"0.10\", expect_size=\"14056448\"] \n  38 -> 39 [size =\"14056448\"]\n  39 [size=\"71891627\", alpha=\"0.06\", expect_size=\"21567488\"] \n  39 -> 40 [size =\"21567488\"]\n  40 [size=\"139127467\", alpha=\"0.09\", expect_size=\"41738240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70162432\", alpha=\"0.11\", expect_size=\"35081216\"] \n  1 -> 2 [size =\"35081216\"]\n  2 [size=\"19197952\", alpha=\"0.07\", expect_size=\"9598976\"] \n  2 -> 3 [size =\"9598976\"]\n  3 [size=\"20856832\", alpha=\"0.05\", expect_size=\"10428416\"] \n  3 -> 4 [size =\"10428416\"]\n  4 [size=\"103962624\", alpha=\"0.04\", expect_size=\"51981312\"] \n  4 -> 5 [size =\"51981312\"]\n  5 [size=\"29562880\", alpha=\"0.16\", expect_size=\"14781440\"] \n  5 -> 6 [size =\"14781440\"]\n  6 [size=\"25384960\", alpha=\"0.00\", expect_size=\"12692480\"] \n  6 -> 7 [size =\"12692480\"]\n  7 [size=\"83185664\", alpha=\"0.03\", expect_size=\"41592832\"] \n  7 -> 8 [size =\"41592832\"]\n  8 [size=\"87283712\", alpha=\"0.09\", expect_size=\"43641856\"] \n  8 -> 9 [size =\"43641856\"]\n  9 [size=\"27181056\", alpha=\"0.12\", expect_size=\"13590528\"] \n  9 -> 10 [size =\"13590528\"]\n  10 [size=\"54020096\", alpha=\"0.07\", expect_size=\"27010048\"] \n  10 -> 11 [size =\"27010048\"]\n  11 [size=\"16187392\", alpha=\"0.18\", expect_size=\"8093696\"] \n  11 -> 12 [size =\"8093696\"]\n  12 [size=\"70078464\", alpha=\"0.09\", expect_size=\"35039232\"] \n  12 -> 13 [size =\"35039232\"]\n  13 [size=\"101761024\", alpha=\"0.09\", expect_size=\"50880512\"] \n  13 -> 14 [size =\"50880512\"]\n  14 [size=\"31973376\", alpha=\"0.17\", expect_size=\"15986688\"] \n  14 -> 15 [size =\"15986688\"]\n  15 [size=\"49989632\", alpha=\"0.06\", expect_size=\"24994816\"] \n  15 -> 16 [size =\"24994816\"]\n  16 [size=\"32358400\", alpha=\"0.07\", expect_size=\"16179200\"] \n  16 -> 17 [size =\"16179200\"]\n  17 [size=\"34230272\", alpha=\"0.16\", expect_size=\"17115136\"] \n  17 -> 18 [size =\"17115136\"]\n  18 [size=\"48291840\", alpha=\"0.19\", expect_size=\"24145920\"] \n  18 -> 19 [size =\"24145920\"]\n  19 [size=\"89061376\", alpha=\"0.11\", expect_size=\"44530688\"] \n  19 -> 20 [size =\"44530688\"]\n  20 [size=\"52035584\", alpha=\"0.16\", expect_size=\"26017792\"] \n  20 -> 21 [size =\"26017792\"]\n  21 [size=\"84615168\", alpha=\"0.14\", expect_size=\"42307584\"] \n  21 -> 22 [size =\"42307584\"]\n  22 [size=\"75628544\", alpha=\"0.15\", expect_size=\"37814272\"] \n  22 -> 23 [size =\"37814272\"]\n  23 [size=\"25966592\", alpha=\"0.17\", expect_size=\"12983296\"] \n  23 -> 24 [size =\"12983296\"]\n  24 [size=\"67352576\", alpha=\"0.19\", expect_size=\"33676288\"] \n  24 -> 25 [size =\"33676288\"]\n  25 [size=\"54616064\", alpha=\"0.05\", expect_size=\"27308032\"] \n  25 -> 26 [size =\"27308032\"]\n  26 [size=\"85100544\", alpha=\"0.14\", expect_size=\"42550272\"] \n  26 -> 27 [size =\"42550272\"]\n  27 [size=\"25432064\", alpha=\"0.19\", expect_size=\"12716032\"] \n  27 -> 28 [size =\"12716032\"]\n  28 [size=\"100116480\", alpha=\"0.00\", expect_size=\"50058240\"] \n  28 -> 29 [size =\"50058240\"]\n  29 [size=\"93472768\", alpha=\"0.05\", expect_size=\"46736384\"] \n  29 -> 30 [size =\"46736384\"]\n  30 [size=\"48852992\", alpha=\"0.18\", expect_size=\"24426496\"] \n  30 -> 31 [size =\"24426496\"]\n  31 [size=\"30691328\", alpha=\"0.13\", expect_size=\"15345664\"] \n  31 -> 32 [size =\"15345664\"]\n  32 [size=\"98662400\", alpha=\"0.01\", expect_size=\"49331200\"] \n  32 -> 33 [size =\"49331200\"]\n  33 [size=\"72738816\", alpha=\"0.08\", expect_size=\"36369408\"] \n  33 -> 34 [size =\"36369408\"]\n  34 [size=\"57663488\", alpha=\"0.19\", expect_size=\"28831744\"] \n  34 -> 35 [size =\"28831744\"]\n  35 [size=\"52541440\", alpha=\"0.19\", expect_size=\"26270720\"] \n  35 -> 36 [size =\"26270720\"]\n  36 [size=\"76449792\", alpha=\"0.04\", expect_size=\"38224896\"] \n  36 -> 37 [size =\"38224896\"]\n  37 [size=\"49920000\", alpha=\"0.13\", expect_size=\"24960000\"] \n  37 -> 38 [size =\"24960000\"]\n  38 [size=\"45651968\", alpha=\"0.11\", expect_size=\"22825984\"] \n  38 -> 39 [size =\"22825984\"]\n  39 [size=\"46071808\", alpha=\"0.05\", expect_size=\"23035904\"] \n  39 -> 40 [size =\"23035904\"]\n  40 [size=\"67874816\", alpha=\"0.08\", expect_size=\"33937408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119674880\", alpha=\"0.02\", expect_size=\"35902464\"] \n  1 -> 7 [size =\"35902464\"]\n  1 -> 11 [size =\"35902464\"]\n  1 -> 12 [size =\"35902464\"]\n  2 [size=\"149278720\", alpha=\"0.05\", expect_size=\"44783616\"] \n  2 -> 7 [size =\"44783616\"]\n  2 -> 11 [size =\"44783616\"]\n  2 -> 12 [size =\"44783616\"]\n  3 [size=\"113322667\", alpha=\"0.19\", expect_size=\"33996800\"] \n  3 -> 9 [size =\"33996800\"]\n  3 -> 11 [size =\"33996800\"]\n  4 [size=\"136144213\", alpha=\"0.15\", expect_size=\"40843264\"] \n  4 -> 7 [size =\"40843264\"]\n  4 -> 10 [size =\"40843264\"]\n  5 [size=\"61491200\", alpha=\"0.06\", expect_size=\"18447360\"] \n  5 -> 7 [size =\"18447360\"]\n  5 -> 8 [size =\"18447360\"]\n  6 [size=\"85159253\", alpha=\"0.08\", expect_size=\"25547776\"] \n  6 -> 8 [size =\"25547776\"]\n  6 -> 9 [size =\"25547776\"]\n  6 -> 10 [size =\"25547776\"]\n  7 [size=\"23319893\", alpha=\"0.20\", expect_size=\"6995968\"] \n  7 -> 13 [size =\"6995968\"]\n  8 [size=\"104625493\", alpha=\"0.05\", expect_size=\"31387648\"] \n  9 [size=\"33925120\", alpha=\"0.14\", expect_size=\"10177536\"] \n  9 -> 15 [size =\"10177536\"]\n  9 -> 17 [size =\"10177536\"]\n  10 [size=\"94119253\", alpha=\"0.11\", expect_size=\"28235776\"] \n  10 -> 16 [size =\"28235776\"]\n  10 -> 17 [size =\"28235776\"]\n  11 [size=\"85149013\", alpha=\"0.20\", expect_size=\"25544704\"] \n  11 -> 16 [size =\"25544704\"]\n  12 [size=\"103413760\", alpha=\"0.06\", expect_size=\"31024128\"] \n  12 -> 14 [size =\"31024128\"]\n  12 -> 15 [size =\"31024128\"]\n  12 -> 17 [size =\"31024128\"]\n  13 [size=\"144226987\", alpha=\"0.11\", expect_size=\"43268096\"] \n  13 -> 20 [size =\"43268096\"]\n  13 -> 22 [size =\"43268096\"]\n  14 [size=\"133765120\", alpha=\"0.20\", expect_size=\"40129536\"] \n  14 -> 22 [size =\"40129536\"]\n  15 [size=\"96563200\", alpha=\"0.01\", expect_size=\"28968960\"] \n  15 -> 21 [size =\"28968960\"]\n  16 [size=\"146319360\", alpha=\"0.18\", expect_size=\"43895808\"] \n  16 -> 19 [size =\"43895808\"]\n  16 -> 20 [size =\"43895808\"]\n  16 -> 21 [size =\"43895808\"]\n  17 [size=\"53667840\", alpha=\"0.11\", expect_size=\"16100352\"] \n  17 -> 18 [size =\"16100352\"]\n  17 -> 20 [size =\"16100352\"]\n  18 [size=\"53558613\", alpha=\"0.16\", expect_size=\"16067584\"] \n  18 -> 23 [size =\"16067584\"]\n  18 -> 25 [size =\"16067584\"]\n  19 [size=\"96194560\", alpha=\"0.01\", expect_size=\"28858368\"] \n  19 -> 23 [size =\"28858368\"]\n  20 [size=\"48349867\", alpha=\"0.00\", expect_size=\"14504960\"] \n  20 -> 28 [size =\"14504960\"]\n  21 [size=\"136181760\", alpha=\"0.13\", expect_size=\"40854528\"] \n  21 -> 26 [size =\"40854528\"]\n  22 [size=\"133621760\", alpha=\"0.03\", expect_size=\"40086528\"] \n  22 -> 23 [size =\"40086528\"]\n  22 -> 24 [size =\"40086528\"]\n  22 -> 25 [size =\"40086528\"]\n  22 -> 27 [size =\"40086528\"]\n  22 -> 28 [size =\"40086528\"]\n  23 [size=\"20227413\", alpha=\"0.04\", expect_size=\"6068224\"] \n  23 -> 30 [size =\"6068224\"]\n  23 -> 31 [size =\"6068224\"]\n  23 -> 32 [size =\"6068224\"]\n  24 [size=\"103014400\", alpha=\"0.01\", expect_size=\"30904320\"] \n  24 -> 29 [size =\"30904320\"]\n  24 -> 31 [size =\"30904320\"]\n  25 [size=\"99686400\", alpha=\"0.04\", expect_size=\"29905920\"] \n  25 -> 32 [size =\"29905920\"]\n  25 -> 33 [size =\"29905920\"]\n  26 [size=\"107991040\", alpha=\"0.15\", expect_size=\"32397312\"] \n  26 -> 29 [size =\"32397312\"]\n  26 -> 31 [size =\"32397312\"]\n  26 -> 33 [size =\"32397312\"]\n  27 [size=\"94716587\", alpha=\"0.07\", expect_size=\"28414976\"] \n  27 -> 31 [size =\"28414976\"]\n  27 -> 33 [size =\"28414976\"]\n  27 -> 34 [size =\"28414976\"]\n  28 [size=\"22272000\", alpha=\"0.10\", expect_size=\"6681600\"] \n  28 -> 29 [size =\"6681600\"]\n  28 -> 34 [size =\"6681600\"]\n  29 [size=\"146978133\", alpha=\"0.15\", expect_size=\"44093440\"] \n  29 -> 36 [size =\"44093440\"]\n  29 -> 37 [size =\"44093440\"]\n  29 -> 38 [size =\"44093440\"]\n  29 -> 39 [size =\"44093440\"]\n  30 [size=\"150913707\", alpha=\"0.09\", expect_size=\"45274112\"] \n  30 -> 38 [size =\"45274112\"]\n  31 [size=\"153442987\", alpha=\"0.13\", expect_size=\"46032896\"] \n  31 -> 40 [size =\"46032896\"]\n  32 [size=\"99478187\", alpha=\"0.07\", expect_size=\"29843456\"] \n  32 -> 39 [size =\"29843456\"]\n  32 -> 40 [size =\"29843456\"]\n  33 [size=\"120828587\", alpha=\"0.17\", expect_size=\"36248576\"] \n  33 -> 35 [size =\"36248576\"]\n  33 -> 40 [size =\"36248576\"]\n  34 [size=\"156054187\", alpha=\"0.02\", expect_size=\"46816256\"] \n  34 -> 35 [size =\"46816256\"]\n  34 -> 38 [size =\"46816256\"]\n  34 -> 39 [size =\"46816256\"]\n  34 -> 40 [size =\"46816256\"]\n  35 [size=\"166543360\", alpha=\"0.18\", expect_size=\"49963008\"] \n  36 [size=\"39017813\", alpha=\"0.09\", expect_size=\"11705344\"] \n  37 [size=\"155743573\", alpha=\"0.05\", expect_size=\"46723072\"] \n  38 [size=\"50705067\", alpha=\"0.06\", expect_size=\"15211520\"] \n  39 [size=\"125620907\", alpha=\"0.17\", expect_size=\"37686272\"] \n  40 [size=\"82373973\", alpha=\"0.12\", expect_size=\"24712192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75299840\", alpha=\"0.12\", expect_size=\"30119936\"] \n  2 [size=\"107584000\", alpha=\"0.15\", expect_size=\"43033600\"] \n  2 -> 36 [size =\"43033600\"]\n  3 [size=\"75898880\", alpha=\"0.07\", expect_size=\"30359552\"] \n  3 -> 38 [size =\"30359552\"]\n  4 [size=\"85573120\", alpha=\"0.14\", expect_size=\"34229248\"] \n  4 -> 35 [size =\"34229248\"]\n  5 [size=\"39618560\", alpha=\"0.12\", expect_size=\"15847424\"] \n  5 -> 39 [size =\"15847424\"]\n  6 [size=\"128020480\", alpha=\"0.02\", expect_size=\"51208192\"] \n  6 -> 39 [size =\"51208192\"]\n  7 [size=\"37928960\", alpha=\"0.17\", expect_size=\"15171584\"] \n  7 -> 39 [size =\"15171584\"]\n  8 [size=\"83310080\", alpha=\"0.10\", expect_size=\"33324032\"] \n  8 -> 39 [size =\"33324032\"]\n  9 [size=\"16808960\", alpha=\"0.15\", expect_size=\"6723584\"] \n  9 -> 39 [size =\"6723584\"]\n  9 -> 40 [size =\"6723584\"]\n  10 [size=\"115356160\", alpha=\"0.10\", expect_size=\"46142464\"] \n  10 -> 39 [size =\"46142464\"]\n  11 [size=\"91991040\", alpha=\"0.00\", expect_size=\"36796416\"] \n  11 -> 39 [size =\"36796416\"]\n  12 [size=\"47577600\", alpha=\"0.13\", expect_size=\"19031040\"] \n  12 -> 35 [size =\"19031040\"]\n  13 [size=\"16394240\", alpha=\"0.19\", expect_size=\"6557696\"] \n  13 -> 36 [size =\"6557696\"]\n  14 [size=\"57912320\", alpha=\"0.10\", expect_size=\"23164928\"] \n  14 -> 39 [size =\"23164928\"]\n  15 [size=\"23349760\", alpha=\"0.07\", expect_size=\"9339904\"] \n  15 -> 39 [size =\"9339904\"]\n  16 [size=\"95385600\", alpha=\"0.20\", expect_size=\"38154240\"] \n  16 -> 35 [size =\"38154240\"]\n  16 -> 39 [size =\"38154240\"]\n  17 [size=\"106611200\", alpha=\"0.08\", expect_size=\"42644480\"] \n  18 [size=\"86090240\", alpha=\"0.05\", expect_size=\"34436096\"] \n  19 [size=\"25218560\", alpha=\"0.13\", expect_size=\"10087424\"] \n  19 -> 36 [size =\"10087424\"]\n  19 -> 39 [size =\"10087424\"]\n  19 -> 40 [size =\"10087424\"]\n  20 [size=\"110763520\", alpha=\"0.03\", expect_size=\"44305408\"] \n  20 -> 36 [size =\"44305408\"]\n  21 [size=\"50570240\", alpha=\"0.03\", expect_size=\"20228096\"] \n  22 [size=\"51694080\", alpha=\"0.19\", expect_size=\"20677632\"] \n  22 -> 35 [size =\"20677632\"]\n  22 -> 36 [size =\"20677632\"]\n  22 -> 39 [size =\"20677632\"]\n  23 [size=\"130823680\", alpha=\"0.06\", expect_size=\"52329472\"] \n  24 [size=\"125143040\", alpha=\"0.06\", expect_size=\"50057216\"] \n  25 [size=\"67192320\", alpha=\"0.10\", expect_size=\"26876928\"] \n  26 [size=\"109107200\", alpha=\"0.13\", expect_size=\"43642880\"] \n  26 -> 40 [size =\"43642880\"]\n  27 [size=\"108874240\", alpha=\"0.00\", expect_size=\"43549696\"] \n  28 [size=\"39779840\", alpha=\"0.20\", expect_size=\"15911936\"] \n  29 [size=\"72145920\", alpha=\"0.20\", expect_size=\"28858368\"] \n  30 [size=\"31183360\", alpha=\"0.17\", expect_size=\"12473344\"] \n  30 -> 36 [size =\"12473344\"]\n  30 -> 38 [size =\"12473344\"]\n  30 -> 39 [size =\"12473344\"]\n  31 [size=\"47892480\", alpha=\"0.08\", expect_size=\"19156992\"] \n  31 -> 36 [size =\"19156992\"]\n  31 -> 39 [size =\"19156992\"]\n  31 -> 40 [size =\"19156992\"]\n  32 [size=\"66503680\", alpha=\"0.04\", expect_size=\"26601472\"] \n  32 -> 36 [size =\"26601472\"]\n  32 -> 38 [size =\"26601472\"]\n  32 -> 39 [size =\"26601472\"]\n  33 [size=\"63531520\", alpha=\"0.01\", expect_size=\"25412608\"] \n  33 -> 37 [size =\"25412608\"]\n  34 [size=\"101770240\", alpha=\"0.06\", expect_size=\"40708096\"] \n  35 [size=\"17756160\", alpha=\"0.12\", expect_size=\"7102464\"] \n  36 [size=\"73930240\", alpha=\"0.13\", expect_size=\"29572096\"] \n  37 [size=\"31313920\", alpha=\"0.09\", expect_size=\"12525568\"] \n  38 [size=\"32693760\", alpha=\"0.18\", expect_size=\"13077504\"] \n  39 [size=\"30307840\", alpha=\"0.08\", expect_size=\"12123136\"] \n  40 [size=\"27855360\", alpha=\"0.16\", expect_size=\"11142144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76216320\", alpha=\"0.07\", expect_size=\"30486528\"] \n  2 [size=\"16796160\", alpha=\"0.17\", expect_size=\"6718464\"] \n  2 -> 5 [size =\"6718464\"]\n  3 [size=\"110602240\", alpha=\"0.19\", expect_size=\"44240896\"] \n  3 -> 4 [size =\"44240896\"]\n  4 [size=\"45806080\", alpha=\"0.10\", expect_size=\"18322432\"] \n  4 -> 6 [size =\"18322432\"]\n  5 [size=\"40163840\", alpha=\"0.13\", expect_size=\"16065536\"] \n  5 -> 7 [size =\"16065536\"]\n  6 [size=\"55854080\", alpha=\"0.12\", expect_size=\"22341632\"] \n  6 -> 8 [size =\"22341632\"]\n  6 -> 9 [size =\"22341632\"]\n  7 [size=\"84518400\", alpha=\"0.09\", expect_size=\"33807360\"] \n  8 [size=\"101465600\", alpha=\"0.06\", expect_size=\"40586240\"] \n  8 -> 10 [size =\"40586240\"]\n  8 -> 11 [size =\"40586240\"]\n  9 [size=\"35228160\", alpha=\"0.03\", expect_size=\"14091264\"] \n  9 -> 12 [size =\"14091264\"]\n  10 [size=\"59804160\", alpha=\"0.12\", expect_size=\"23921664\"] \n  10 -> 13 [size =\"23921664\"]\n  10 -> 14 [size =\"23921664\"]\n  11 [size=\"119152640\", alpha=\"0.11\", expect_size=\"47661056\"] \n  12 [size=\"43148800\", alpha=\"0.16\", expect_size=\"17259520\"] \n  13 [size=\"24061440\", alpha=\"0.15\", expect_size=\"9624576\"] \n  13 -> 15 [size =\"9624576\"]\n  13 -> 16 [size =\"9624576\"]\n  14 [size=\"18416640\", alpha=\"0.03\", expect_size=\"7366656\"] \n  15 [size=\"76966400\", alpha=\"0.11\", expect_size=\"30786560\"] \n  16 [size=\"32778240\", alpha=\"0.02\", expect_size=\"13111296\"] \n  16 -> 17 [size =\"13111296\"]\n  16 -> 18 [size =\"13111296\"]\n  16 -> 19 [size =\"13111296\"]\n  17 [size=\"105715200\", alpha=\"0.02\", expect_size=\"42286080\"] \n  17 -> 21 [size =\"42286080\"]\n  18 [size=\"40353280\", alpha=\"0.10\", expect_size=\"16141312\"] \n  19 [size=\"78028800\", alpha=\"0.05\", expect_size=\"31211520\"] \n  19 -> 20 [size =\"31211520\"]\n  19 -> 21 [size =\"31211520\"]\n  20 [size=\"93765120\", alpha=\"0.06\", expect_size=\"37506048\"] \n  20 -> 22 [size =\"37506048\"]\n  21 [size=\"47971840\", alpha=\"0.18\", expect_size=\"19188736\"] \n  21 -> 23 [size =\"19188736\"]\n  22 [size=\"111262720\", alpha=\"0.10\", expect_size=\"44505088\"] \n  22 -> 24 [size =\"44505088\"]\n  23 [size=\"84805120\", alpha=\"0.19\", expect_size=\"33922048\"] \n  23 -> 25 [size =\"33922048\"]\n  23 -> 26 [size =\"33922048\"]\n  24 [size=\"52692480\", alpha=\"0.13\", expect_size=\"21076992\"] \n  24 -> 27 [size =\"21076992\"]\n  25 [size=\"70359040\", alpha=\"0.12\", expect_size=\"28143616\"] \n  26 [size=\"17948160\", alpha=\"0.18\", expect_size=\"7179264\"] \n  26 -> 28 [size =\"7179264\"]\n  27 [size=\"32665600\", alpha=\"0.16\", expect_size=\"13066240\"] \n  27 -> 30 [size =\"13066240\"]\n  28 [size=\"42178560\", alpha=\"0.10\", expect_size=\"16871424\"] \n  28 -> 29 [size =\"16871424\"]\n  29 [size=\"100101120\", alpha=\"0.07\", expect_size=\"40040448\"] \n  29 -> 32 [size =\"40040448\"]\n  30 [size=\"13460480\", alpha=\"0.12\", expect_size=\"5384192\"] \n  30 -> 31 [size =\"5384192\"]\n  30 -> 33 [size =\"5384192\"]\n  31 [size=\"50155520\", alpha=\"0.14\", expect_size=\"20062208\"] \n  31 -> 35 [size =\"20062208\"]\n  32 [size=\"37373440\", alpha=\"0.02\", expect_size=\"14949376\"] \n  32 -> 35 [size =\"14949376\"]\n  33 [size=\"96765440\", alpha=\"0.12\", expect_size=\"38706176\"] \n  33 -> 34 [size =\"38706176\"]\n  34 [size=\"89904640\", alpha=\"0.03\", expect_size=\"35961856\"] \n  34 -> 36 [size =\"35961856\"]\n  34 -> 37 [size =\"35961856\"]\n  35 [size=\"49484800\", alpha=\"0.05\", expect_size=\"19793920\"] \n  36 [size=\"120532480\", alpha=\"0.09\", expect_size=\"48212992\"] \n  37 [size=\"109867520\", alpha=\"0.10\", expect_size=\"43947008\"] \n  37 -> 38 [size =\"43947008\"]\n  37 -> 39 [size =\"43947008\"]\n  38 [size=\"88896000\", alpha=\"0.15\", expect_size=\"35558400\"] \n  38 -> 40 [size =\"35558400\"]\n  39 [size=\"28016640\", alpha=\"0.11\", expect_size=\"11206656\"] \n  40 [size=\"67315200\", alpha=\"0.01\", expect_size=\"26926080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79906816\", alpha=\"0.17\", expect_size=\"39953408\"] \n  1 -> 33 [size =\"39953408\"]\n  1 -> 37 [size =\"39953408\"]\n  1 -> 38 [size =\"39953408\"]\n  2 [size=\"27643904\", alpha=\"0.08\", expect_size=\"13821952\"] \n  2 -> 33 [size =\"13821952\"]\n  2 -> 35 [size =\"13821952\"]\n  2 -> 36 [size =\"13821952\"]\n  2 -> 38 [size =\"13821952\"]\n  2 -> 40 [size =\"13821952\"]\n  3 [size=\"81424384\", alpha=\"0.18\", expect_size=\"40712192\"] \n  3 -> 32 [size =\"40712192\"]\n  3 -> 33 [size =\"40712192\"]\n  3 -> 34 [size =\"40712192\"]\n  3 -> 35 [size =\"40712192\"]\n  4 [size=\"34949120\", alpha=\"0.18\", expect_size=\"17474560\"] \n  4 -> 32 [size =\"17474560\"]\n  4 -> 33 [size =\"17474560\"]\n  4 -> 34 [size =\"17474560\"]\n  4 -> 35 [size =\"17474560\"]\n  4 -> 40 [size =\"17474560\"]\n  5 [size=\"28264448\", alpha=\"0.07\", expect_size=\"14132224\"] \n  5 -> 33 [size =\"14132224\"]\n  5 -> 33 [size =\"14132224\"]\n  5 -> 34 [size =\"14132224\"]\n  5 -> 35 [size =\"14132224\"]\n  5 -> 38 [size =\"14132224\"]\n  6 [size=\"13168640\", alpha=\"0.15\", expect_size=\"6584320\"] \n  6 -> 31 [size =\"6584320\"]\n  6 -> 33 [size =\"6584320\"]\n  6 -> 34 [size =\"6584320\"]\n  6 -> 35 [size =\"6584320\"]\n  7 [size=\"104585216\", alpha=\"0.03\", expect_size=\"52292608\"] \n  7 -> 32 [size =\"52292608\"]\n  7 -> 33 [size =\"52292608\"]\n  7 -> 35 [size =\"52292608\"]\n  7 -> 35 [size =\"52292608\"]\n  7 -> 37 [size =\"52292608\"]\n  7 -> 38 [size =\"52292608\"]\n  8 [size=\"64933888\", alpha=\"0.18\", expect_size=\"32466944\"] \n  8 -> 32 [size =\"32466944\"]\n  8 -> 40 [size =\"32466944\"]\n  9 [size=\"92397568\", alpha=\"0.02\", expect_size=\"46198784\"] \n  9 -> 31 [size =\"46198784\"]\n  9 -> 32 [size =\"46198784\"]\n  9 -> 33 [size =\"46198784\"]\n  9 -> 34 [size =\"46198784\"]\n  9 -> 39 [size =\"46198784\"]\n  10 [size=\"21800960\", alpha=\"0.16\", expect_size=\"10900480\"] \n  10 -> 35 [size =\"10900480\"]\n  10 -> 38 [size =\"10900480\"]\n  10 -> 39 [size =\"10900480\"]\n  11 [size=\"64696320\", alpha=\"0.02\", expect_size=\"32348160\"] \n  11 -> 31 [size =\"32348160\"]\n  11 -> 35 [size =\"32348160\"]\n  11 -> 37 [size =\"32348160\"]\n  11 -> 39 [size =\"32348160\"]\n  11 -> 40 [size =\"32348160\"]\n  12 [size=\"51480576\", alpha=\"0.04\", expect_size=\"25740288\"] \n  12 -> 32 [size =\"25740288\"]\n  12 -> 34 [size =\"25740288\"]\n  12 -> 37 [size =\"25740288\"]\n  12 -> 39 [size =\"25740288\"]\n  12 -> 40 [size =\"25740288\"]\n  13 [size=\"90753024\", alpha=\"0.06\", expect_size=\"45376512\"] \n  13 -> 31 [size =\"45376512\"]\n  13 -> 32 [size =\"45376512\"]\n  13 -> 37 [size =\"45376512\"]\n  13 -> 39 [size =\"45376512\"]\n  13 -> 40 [size =\"45376512\"]\n  14 [size=\"80390144\", alpha=\"0.19\", expect_size=\"40195072\"] \n  14 -> 32 [size =\"40195072\"]\n  14 -> 38 [size =\"40195072\"]\n  15 [size=\"72314880\", alpha=\"0.13\", expect_size=\"36157440\"] \n  15 -> 34 [size =\"36157440\"]\n  15 -> 38 [size =\"36157440\"]\n  16 [size=\"104142848\", alpha=\"0.01\", expect_size=\"52071424\"] \n  16 -> 34 [size =\"52071424\"]\n  16 -> 38 [size =\"52071424\"]\n  16 -> 39 [size =\"52071424\"]\n  16 -> 40 [size =\"52071424\"]\n  17 [size=\"79839232\", alpha=\"0.04\", expect_size=\"39919616\"] \n  17 -> 33 [size =\"39919616\"]\n  17 -> 34 [size =\"39919616\"]\n  17 -> 35 [size =\"39919616\"]\n  17 -> 36 [size =\"39919616\"]\n  17 -> 37 [size =\"39919616\"]\n  17 -> 38 [size =\"39919616\"]\n  17 -> 40 [size =\"39919616\"]\n  18 [size=\"92751872\", alpha=\"0.19\", expect_size=\"46375936\"] \n  18 -> 31 [size =\"46375936\"]\n  18 -> 32 [size =\"46375936\"]\n  18 -> 33 [size =\"46375936\"]\n  18 -> 34 [size =\"46375936\"]\n  18 -> 35 [size =\"46375936\"]\n  18 -> 36 [size =\"46375936\"]\n  18 -> 37 [size =\"46375936\"]\n  18 -> 38 [size =\"46375936\"]\n  18 -> 40 [size =\"46375936\"]\n  19 [size=\"83322880\", alpha=\"0.12\", expect_size=\"41661440\"] \n  19 -> 31 [size =\"41661440\"]\n  19 -> 32 [size =\"41661440\"]\n  19 -> 33 [size =\"41661440\"]\n  19 -> 35 [size =\"41661440\"]\n  19 -> 36 [size =\"41661440\"]\n  19 -> 37 [size =\"41661440\"]\n  19 -> 37 [size =\"41661440\"]\n  19 -> 38 [size =\"41661440\"]\n  19 -> 40 [size =\"41661440\"]\n  20 [size=\"92116992\", alpha=\"0.01\", expect_size=\"46058496\"] \n  20 -> 31 [size =\"46058496\"]\n  20 -> 32 [size =\"46058496\"]\n  20 -> 33 [size =\"46058496\"]\n  20 -> 35 [size =\"46058496\"]\n  20 -> 37 [size =\"46058496\"]\n  20 -> 37 [size =\"46058496\"]\n  20 -> 38 [size =\"46058496\"]\n  20 -> 40 [size =\"46058496\"]\n  21 [size=\"72280064\", alpha=\"0.04\", expect_size=\"36140032\"] \n  21 -> 31 [size =\"36140032\"]\n  21 -> 32 [size =\"36140032\"]\n  21 -> 35 [size =\"36140032\"]\n  21 -> 38 [size =\"36140032\"]\n  21 -> 40 [size =\"36140032\"]\n  22 [size=\"80590848\", alpha=\"0.12\", expect_size=\"40295424\"] \n  22 -> 31 [size =\"40295424\"]\n  22 -> 32 [size =\"40295424\"]\n  23 [size=\"98600960\", alpha=\"0.14\", expect_size=\"49300480\"] \n  23 -> 31 [size =\"49300480\"]\n  23 -> 32 [size =\"49300480\"]\n  23 -> 33 [size =\"49300480\"]\n  23 -> 34 [size =\"49300480\"]\n  24 [size=\"33228800\", alpha=\"0.01\", expect_size=\"16614400\"] \n  24 -> 39 [size =\"16614400\"]\n  24 -> 40 [size =\"16614400\"]\n  25 [size=\"29952000\", alpha=\"0.12\", expect_size=\"14976000\"] \n  25 -> 31 [size =\"14976000\"]\n  26 [size=\"90847232\", alpha=\"0.04\", expect_size=\"45423616\"] \n  26 -> 40 [size =\"45423616\"]\n  27 [size=\"96008192\", alpha=\"0.16\", expect_size=\"48004096\"] \n  27 -> 32 [size =\"48004096\"]\n  27 -> 33 [size =\"48004096\"]\n  27 -> 37 [size =\"48004096\"]\n  27 -> 40 [size =\"48004096\"]\n  28 [size=\"18675712\", alpha=\"0.19\", expect_size=\"9337856\"] \n  28 -> 32 [size =\"9337856\"]\n  28 -> 33 [size =\"9337856\"]\n  28 -> 34 [size =\"9337856\"]\n  28 -> 35 [size =\"9337856\"]\n  28 -> 39 [size =\"9337856\"]\n  28 -> 40 [size =\"9337856\"]\n  29 [size=\"13979648\", alpha=\"0.19\", expect_size=\"6989824\"] \n  29 -> 33 [size =\"6989824\"]\n  29 -> 35 [size =\"6989824\"]\n  29 -> 39 [size =\"6989824\"]\n  29 -> 40 [size =\"6989824\"]\n  30 [size=\"70623232\", alpha=\"0.02\", expect_size=\"35311616\"] \n  30 -> 31 [size =\"35311616\"]\n  30 -> 32 [size =\"35311616\"]\n  30 -> 33 [size =\"35311616\"]\n  30 -> 35 [size =\"35311616\"]\n  31 [size=\"74485760\", alpha=\"0.17\", expect_size=\"37242880\"] \n  32 [size=\"94988288\", alpha=\"0.20\", expect_size=\"47494144\"] \n  33 [size=\"54917120\", alpha=\"0.00\", expect_size=\"27458560\"] \n  34 [size=\"25212928\", alpha=\"0.15\", expect_size=\"12606464\"] \n  35 [size=\"30341120\", alpha=\"0.03\", expect_size=\"15170560\"] \n  36 [size=\"88082432\", alpha=\"0.11\", expect_size=\"44041216\"] \n  37 [size=\"12376064\", alpha=\"0.14\", expect_size=\"6188032\"] \n  38 [size=\"86065152\", alpha=\"0.14\", expect_size=\"43032576\"] \n  39 [size=\"80480256\", alpha=\"0.09\", expect_size=\"40240128\"] \n  40 [size=\"77537280\", alpha=\"0.02\", expect_size=\"38768640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40/random.40.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:50 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90388480\", alpha=\"0.15\", expect_size=\"45194240\"] \n  2 [size=\"22781952\", alpha=\"0.00\", expect_size=\"11390976\"] \n  2 -> 40 [size =\"11390976\"]\n  3 [size=\"45473792\", alpha=\"0.18\", expect_size=\"22736896\"] \n  3 -> 40 [size =\"22736896\"]\n  4 [size=\"19214336\", alpha=\"0.00\", expect_size=\"9607168\"] \n  4 -> 40 [size =\"9607168\"]\n  5 [size=\"27727872\", alpha=\"0.14\", expect_size=\"13863936\"] \n  5 -> 40 [size =\"13863936\"]\n  6 [size=\"17082368\", alpha=\"0.02\", expect_size=\"8541184\"] \n  6 -> 40 [size =\"8541184\"]\n  7 [size=\"72478720\", alpha=\"0.11\", expect_size=\"36239360\"] \n  7 -> 39 [size =\"36239360\"]\n  7 -> 40 [size =\"36239360\"]\n  8 [size=\"42260480\", alpha=\"0.17\", expect_size=\"21130240\"] \n  8 -> 39 [size =\"21130240\"]\n  8 -> 40 [size =\"21130240\"]\n  9 [size=\"86720512\", alpha=\"0.06\", expect_size=\"43360256\"] \n  9 -> 40 [size =\"43360256\"]\n  9 -> 40 [size =\"43360256\"]\n  10 [size=\"36069376\", alpha=\"0.04\", expect_size=\"18034688\"] \n  10 -> 39 [size =\"18034688\"]\n  10 -> 40 [size =\"18034688\"]\n  11 [size=\"15718400\", alpha=\"0.03\", expect_size=\"7859200\"] \n  11 -> 40 [size =\"7859200\"]\n  11 -> 40 [size =\"7859200\"]\n  12 [size=\"84824064\", alpha=\"0.10\", expect_size=\"42412032\"] \n  13 [size=\"85874688\", alpha=\"0.06\", expect_size=\"42937344\"] \n  14 [size=\"77842432\", alpha=\"0.15\", expect_size=\"38921216\"] \n  15 [size=\"80175104\", alpha=\"0.07\", expect_size=\"40087552\"] \n  15 -> 40 [size =\"40087552\"]\n  16 [size=\"52662272\", alpha=\"0.03\", expect_size=\"26331136\"] \n  16 -> 39 [size =\"26331136\"]\n  16 -> 40 [size =\"26331136\"]\n  17 [size=\"59803648\", alpha=\"0.18\", expect_size=\"29901824\"] \n  17 -> 39 [size =\"29901824\"]\n  17 -> 40 [size =\"29901824\"]\n  18 [size=\"17698816\", alpha=\"0.03\", expect_size=\"8849408\"] \n  18 -> 39 [size =\"8849408\"]\n  18 -> 40 [size =\"8849408\"]\n  19 [size=\"100032512\", alpha=\"0.05\", expect_size=\"50016256\"] \n  19 -> 39 [size =\"50016256\"]\n  19 -> 40 [size =\"50016256\"]\n  20 [size=\"33482752\", alpha=\"0.09\", expect_size=\"16741376\"] \n  20 -> 39 [size =\"16741376\"]\n  20 -> 40 [size =\"16741376\"]\n  21 [size=\"53463040\", alpha=\"0.09\", expect_size=\"26731520\"] \n  21 -> 40 [size =\"26731520\"]\n  22 [size=\"68042752\", alpha=\"0.13\", expect_size=\"34021376\"] \n  22 -> 40 [size =\"34021376\"]\n  23 [size=\"19415040\", alpha=\"0.04\", expect_size=\"9707520\"] \n  23 -> 39 [size =\"9707520\"]\n  23 -> 40 [size =\"9707520\"]\n  24 [size=\"45574144\", alpha=\"0.17\", expect_size=\"22787072\"] \n  24 -> 39 [size =\"22787072\"]\n  25 [size=\"21608448\", alpha=\"0.13\", expect_size=\"10804224\"] \n  26 [size=\"55160832\", alpha=\"0.11\", expect_size=\"27580416\"] \n  27 [size=\"70641664\", alpha=\"0.02\", expect_size=\"35320832\"] \n  27 -> 39 [size =\"35320832\"]\n  27 -> 40 [size =\"35320832\"]\n  28 [size=\"62519296\", alpha=\"0.20\", expect_size=\"31259648\"] \n  28 -> 39 [size =\"31259648\"]\n  29 [size=\"77797376\", alpha=\"0.14\", expect_size=\"38898688\"] \n  30 [size=\"99131392\", alpha=\"0.13\", expect_size=\"49565696\"] \n  31 [size=\"45056000\", alpha=\"0.14\", expect_size=\"22528000\"] \n  32 [size=\"89839616\", alpha=\"0.10\", expect_size=\"44919808\"] \n  32 -> 40 [size =\"44919808\"]\n  33 [size=\"57040896\", alpha=\"0.02\", expect_size=\"28520448\"] \n  33 -> 40 [size =\"28520448\"]\n  34 [size=\"76017664\", alpha=\"0.08\", expect_size=\"38008832\"] \n  34 -> 39 [size =\"38008832\"]\n  34 -> 40 [size =\"38008832\"]\n  35 [size=\"61128704\", alpha=\"0.10\", expect_size=\"30564352\"] \n  35 -> 39 [size =\"30564352\"]\n  36 [size=\"29614080\", alpha=\"0.20\", expect_size=\"14807040\"] \n  36 -> 39 [size =\"14807040\"]\n  36 -> 40 [size =\"14807040\"]\n  37 [size=\"82448384\", alpha=\"0.00\", expect_size=\"41224192\"] \n  37 -> 39 [size =\"41224192\"]\n  37 -> 40 [size =\"41224192\"]\n  38 [size=\"92880896\", alpha=\"0.03\", expect_size=\"46440448\"] \n  38 -> 39 [size =\"46440448\"]\n  39 [size=\"92688384\", alpha=\"0.04\", expect_size=\"46344192\"] \n  40 [size=\"63733760\", alpha=\"0.10\", expect_size=\"31866880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47138133\", alpha=\"0.02\", expect_size=\"14141440\"] \n  1 -> 24 [size =\"14141440\"]\n  1 -> 32 [size =\"14141440\"]\n  1 -> 34 [size =\"14141440\"]\n  1 -> 36 [size =\"14141440\"]\n  1 -> 37 [size =\"14141440\"]\n  1 -> 40 [size =\"14141440\"]\n  2 [size=\"121934507\", alpha=\"0.13\", expect_size=\"36580352\"] \n  2 -> 24 [size =\"36580352\"]\n  2 -> 29 [size =\"36580352\"]\n  2 -> 34 [size =\"36580352\"]\n  2 -> 37 [size =\"36580352\"]\n  2 -> 37 [size =\"36580352\"]\n  2 -> 40 [size =\"36580352\"]\n  3 [size=\"37874347\", alpha=\"0.14\", expect_size=\"11362304\"] \n  3 -> 24 [size =\"11362304\"]\n  3 -> 25 [size =\"11362304\"]\n  3 -> 27 [size =\"11362304\"]\n  3 -> 28 [size =\"11362304\"]\n  3 -> 30 [size =\"11362304\"]\n  3 -> 31 [size =\"11362304\"]\n  3 -> 32 [size =\"11362304\"]\n  3 -> 33 [size =\"11362304\"]\n  3 -> 34 [size =\"11362304\"]\n  3 -> 36 [size =\"11362304\"]\n  3 -> 37 [size =\"11362304\"]\n  3 -> 40 [size =\"11362304\"]\n  4 [size=\"82066773\", alpha=\"0.09\", expect_size=\"24620032\"] \n  4 -> 24 [size =\"24620032\"]\n  4 -> 27 [size =\"24620032\"]\n  4 -> 27 [size =\"24620032\"]\n  4 -> 29 [size =\"24620032\"]\n  4 -> 30 [size =\"24620032\"]\n  4 -> 31 [size =\"24620032\"]\n  4 -> 33 [size =\"24620032\"]\n  4 -> 34 [size =\"24620032\"]\n  4 -> 34 [size =\"24620032\"]\n  4 -> 40 [size =\"24620032\"]\n  5 [size=\"105362773\", alpha=\"0.09\", expect_size=\"31608832\"] \n  5 -> 27 [size =\"31608832\"]\n  5 -> 29 [size =\"31608832\"]\n  5 -> 31 [size =\"31608832\"]\n  5 -> 32 [size =\"31608832\"]\n  5 -> 33 [size =\"31608832\"]\n  5 -> 34 [size =\"31608832\"]\n  5 -> 37 [size =\"31608832\"]\n  5 -> 39 [size =\"31608832\"]\n  5 -> 40 [size =\"31608832\"]\n  6 [size=\"142336000\", alpha=\"0.19\", expect_size=\"42700800\"] \n  6 -> 29 [size =\"42700800\"]\n  6 -> 29 [size =\"42700800\"]\n  6 -> 32 [size =\"42700800\"]\n  6 -> 32 [size =\"42700800\"]\n  6 -> 34 [size =\"42700800\"]\n  6 -> 39 [size =\"42700800\"]\n  7 [size=\"30416213\", alpha=\"0.18\", expect_size=\"9124864\"] \n  7 -> 24 [size =\"9124864\"]\n  7 -> 25 [size =\"9124864\"]\n  7 -> 26 [size =\"9124864\"]\n  7 -> 27 [size =\"9124864\"]\n  7 -> 28 [size =\"9124864\"]\n  7 -> 29 [size =\"9124864\"]\n  7 -> 31 [size =\"9124864\"]\n  7 -> 39 [size =\"9124864\"]\n  7 -> 40 [size =\"9124864\"]\n  8 [size=\"158098773\", alpha=\"0.07\", expect_size=\"47429632\"] \n  8 -> 24 [size =\"47429632\"]\n  8 -> 30 [size =\"47429632\"]\n  8 -> 32 [size =\"47429632\"]\n  8 -> 40 [size =\"47429632\"]\n  9 [size=\"71229440\", alpha=\"0.10\", expect_size=\"21368832\"] \n  9 -> 24 [size =\"21368832\"]\n  9 -> 25 [size =\"21368832\"]\n  9 -> 27 [size =\"21368832\"]\n  9 -> 32 [size =\"21368832\"]\n  9 -> 35 [size =\"21368832\"]\n  9 -> 36 [size =\"21368832\"]\n  10 [size=\"32737280\", alpha=\"0.15\", expect_size=\"9821184\"] \n  10 -> 24 [size =\"9821184\"]\n  10 -> 25 [size =\"9821184\"]\n  10 -> 27 [size =\"9821184\"]\n  10 -> 29 [size =\"9821184\"]\n  10 -> 30 [size =\"9821184\"]\n  10 -> 31 [size =\"9821184\"]\n  10 -> 40 [size =\"9821184\"]\n  11 [size=\"90197333\", alpha=\"0.05\", expect_size=\"27059200\"] \n  11 -> 27 [size =\"27059200\"]\n  11 -> 33 [size =\"27059200\"]\n  11 -> 34 [size =\"27059200\"]\n  11 -> 38 [size =\"27059200\"]\n  12 [size=\"102454613\", alpha=\"0.06\", expect_size=\"30736384\"] \n  12 -> 24 [size =\"30736384\"]\n  12 -> 25 [size =\"30736384\"]\n  12 -> 27 [size =\"30736384\"]\n  12 -> 29 [size =\"30736384\"]\n  12 -> 40 [size =\"30736384\"]\n  13 [size=\"44366507\", alpha=\"0.16\", expect_size=\"13309952\"] \n  13 -> 29 [size =\"13309952\"]\n  13 -> 30 [size =\"13309952\"]\n  13 -> 31 [size =\"13309952\"]\n  13 -> 34 [size =\"13309952\"]\n  13 -> 35 [size =\"13309952\"]\n  13 -> 36 [size =\"13309952\"]\n  13 -> 37 [size =\"13309952\"]\n  13 -> 38 [size =\"13309952\"]\n  13 -> 40 [size =\"13309952\"]\n  14 [size=\"153429333\", alpha=\"0.09\", expect_size=\"46028800\"] \n  14 -> 26 [size =\"46028800\"]\n  14 -> 27 [size =\"46028800\"]\n  14 -> 29 [size =\"46028800\"]\n  14 -> 30 [size =\"46028800\"]\n  14 -> 34 [size =\"46028800\"]\n  14 -> 36 [size =\"46028800\"]\n  15 [size=\"69512533\", alpha=\"0.04\", expect_size=\"20853760\"] \n  15 -> 25 [size =\"20853760\"]\n  15 -> 27 [size =\"20853760\"]\n  15 -> 29 [size =\"20853760\"]\n  15 -> 30 [size =\"20853760\"]\n  15 -> 33 [size =\"20853760\"]\n  15 -> 37 [size =\"20853760\"]\n  15 -> 40 [size =\"20853760\"]\n  16 [size=\"136693760\", alpha=\"0.07\", expect_size=\"41008128\"] \n  16 -> 30 [size =\"41008128\"]\n  16 -> 31 [size =\"41008128\"]\n  16 -> 34 [size =\"41008128\"]\n  16 -> 40 [size =\"41008128\"]\n  17 [size=\"128812373\", alpha=\"0.16\", expect_size=\"38643712\"] \n  17 -> 26 [size =\"38643712\"]\n  17 -> 34 [size =\"38643712\"]\n  17 -> 37 [size =\"38643712\"]\n  17 -> 39 [size =\"38643712\"]\n  17 -> 40 [size =\"38643712\"]\n  18 [size=\"111906133\", alpha=\"0.10\", expect_size=\"33571840\"] \n  18 -> 24 [size =\"33571840\"]\n  18 -> 26 [size =\"33571840\"]\n  18 -> 27 [size =\"33571840\"]\n  18 -> 32 [size =\"33571840\"]\n  18 -> 33 [size =\"33571840\"]\n  18 -> 36 [size =\"33571840\"]\n  18 -> 37 [size =\"33571840\"]\n  18 -> 38 [size =\"33571840\"]\n  18 -> 39 [size =\"33571840\"]\n  18 -> 40 [size =\"33571840\"]\n  19 [size=\"165536427\", alpha=\"0.15\", expect_size=\"49660928\"] \n  19 -> 24 [size =\"49660928\"]\n  19 -> 29 [size =\"49660928\"]\n  19 -> 32 [size =\"49660928\"]\n  19 -> 33 [size =\"49660928\"]\n  19 -> 37 [size =\"49660928\"]\n  19 -> 38 [size =\"49660928\"]\n  19 -> 39 [size =\"49660928\"]\n  20 [size=\"83479893\", alpha=\"0.05\", expect_size=\"25043968\"] \n  20 -> 24 [size =\"25043968\"]\n  20 -> 26 [size =\"25043968\"]\n  20 -> 29 [size =\"25043968\"]\n  20 -> 30 [size =\"25043968\"]\n  20 -> 37 [size =\"25043968\"]\n  20 -> 38 [size =\"25043968\"]\n  20 -> 40 [size =\"25043968\"]\n  21 [size=\"44342613\", alpha=\"0.19\", expect_size=\"13302784\"] \n  21 -> 24 [size =\"13302784\"]\n  21 -> 25 [size =\"13302784\"]\n  21 -> 26 [size =\"13302784\"]\n  21 -> 27 [size =\"13302784\"]\n  21 -> 28 [size =\"13302784\"]\n  21 -> 32 [size =\"13302784\"]\n  21 -> 37 [size =\"13302784\"]\n  21 -> 38 [size =\"13302784\"]\n  22 [size=\"85060267\", alpha=\"0.06\", expect_size=\"25518080\"] \n  22 -> 27 [size =\"25518080\"]\n  22 -> 29 [size =\"25518080\"]\n  22 -> 31 [size =\"25518080\"]\n  22 -> 34 [size =\"25518080\"]\n  22 -> 36 [size =\"25518080\"]\n  22 -> 37 [size =\"25518080\"]\n  22 -> 37 [size =\"25518080\"]\n  23 [size=\"132915200\", alpha=\"0.15\", expect_size=\"39874560\"] \n  23 -> 24 [size =\"39874560\"]\n  23 -> 25 [size =\"39874560\"]\n  23 -> 26 [size =\"39874560\"]\n  23 -> 27 [size =\"39874560\"]\n  23 -> 29 [size =\"39874560\"]\n  23 -> 31 [size =\"39874560\"]\n  23 -> 32 [size =\"39874560\"]\n  23 -> 34 [size =\"39874560\"]\n  23 -> 37 [size =\"39874560\"]\n  23 -> 40 [size =\"39874560\"]\n  24 [size=\"103103147\", alpha=\"0.13\", expect_size=\"30930944\"] \n  25 [size=\"18094080\", alpha=\"0.02\", expect_size=\"5428224\"] \n  26 [size=\"50264747\", alpha=\"0.07\", expect_size=\"15079424\"] \n  27 [size=\"103867733\", alpha=\"0.13\", expect_size=\"31160320\"] \n  28 [size=\"73584640\", alpha=\"0.18\", expect_size=\"22075392\"] \n  29 [size=\"155545600\", alpha=\"0.09\", expect_size=\"46663680\"] \n  30 [size=\"118179840\", alpha=\"0.02\", expect_size=\"35453952\"] \n  31 [size=\"158839467\", alpha=\"0.05\", expect_size=\"47651840\"] \n  32 [size=\"149910187\", alpha=\"0.18\", expect_size=\"44973056\"] \n  33 [size=\"38560427\", alpha=\"0.14\", expect_size=\"11568128\"] \n  34 [size=\"159764480\", alpha=\"0.08\", expect_size=\"47929344\"] \n  35 [size=\"106250240\", alpha=\"0.09\", expect_size=\"31875072\"] \n  36 [size=\"123200853\", alpha=\"0.04\", expect_size=\"36960256\"] \n  37 [size=\"20896427\", alpha=\"0.14\", expect_size=\"6268928\"] \n  38 [size=\"126856533\", alpha=\"0.16\", expect_size=\"38056960\"] \n  39 [size=\"109847893\", alpha=\"0.17\", expect_size=\"32954368\"] \n  40 [size=\"23620267\", alpha=\"0.06\", expect_size=\"7086080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24805376\", alpha=\"0.12\", expect_size=\"12402688\"] \n  1 -> 18 [size =\"12402688\"]\n  1 -> 20 [size =\"12402688\"]\n  1 -> 24 [size =\"12402688\"]\n  1 -> 24 [size =\"12402688\"]\n  1 -> 25 [size =\"12402688\"]\n  1 -> 27 [size =\"12402688\"]\n  1 -> 29 [size =\"12402688\"]\n  1 -> 30 [size =\"12402688\"]\n  2 [size=\"83335168\", alpha=\"0.05\", expect_size=\"41667584\"] \n  2 -> 18 [size =\"41667584\"]\n  2 -> 20 [size =\"41667584\"]\n  2 -> 21 [size =\"41667584\"]\n  2 -> 22 [size =\"41667584\"]\n  2 -> 24 [size =\"41667584\"]\n  2 -> 25 [size =\"41667584\"]\n  2 -> 29 [size =\"41667584\"]\n  2 -> 30 [size =\"41667584\"]\n  3 [size=\"27555840\", alpha=\"0.05\", expect_size=\"13777920\"] \n  3 -> 17 [size =\"13777920\"]\n  3 -> 20 [size =\"13777920\"]\n  3 -> 21 [size =\"13777920\"]\n  3 -> 22 [size =\"13777920\"]\n  3 -> 24 [size =\"13777920\"]\n  3 -> 25 [size =\"13777920\"]\n  3 -> 26 [size =\"13777920\"]\n  3 -> 28 [size =\"13777920\"]\n  3 -> 29 [size =\"13777920\"]\n  4 [size=\"100894720\", alpha=\"0.11\", expect_size=\"50447360\"] \n  4 -> 18 [size =\"50447360\"]\n  4 -> 21 [size =\"50447360\"]\n  4 -> 24 [size =\"50447360\"]\n  4 -> 26 [size =\"50447360\"]\n  4 -> 28 [size =\"50447360\"]\n  4 -> 29 [size =\"50447360\"]\n  4 -> 30 [size =\"50447360\"]\n  5 [size=\"73877504\", alpha=\"0.07\", expect_size=\"36938752\"] \n  5 -> 24 [size =\"36938752\"]\n  5 -> 26 [size =\"36938752\"]\n  5 -> 28 [size =\"36938752\"]\n  6 [size=\"60643328\", alpha=\"0.05\", expect_size=\"30321664\"] \n  6 -> 17 [size =\"30321664\"]\n  6 -> 20 [size =\"30321664\"]\n  6 -> 24 [size =\"30321664\"]\n  6 -> 28 [size =\"30321664\"]\n  7 [size=\"65738752\", alpha=\"0.03\", expect_size=\"32869376\"] \n  7 -> 20 [size =\"32869376\"]\n  7 -> 21 [size =\"32869376\"]\n  7 -> 24 [size =\"32869376\"]\n  7 -> 25 [size =\"32869376\"]\n  7 -> 26 [size =\"32869376\"]\n  7 -> 27 [size =\"32869376\"]\n  7 -> 28 [size =\"32869376\"]\n  7 -> 29 [size =\"32869376\"]\n  8 [size=\"75128832\", alpha=\"0.15\", expect_size=\"37564416\"] \n  8 -> 18 [size =\"37564416\"]\n  8 -> 19 [size =\"37564416\"]\n  8 -> 20 [size =\"37564416\"]\n  8 -> 24 [size =\"37564416\"]\n  8 -> 25 [size =\"37564416\"]\n  8 -> 27 [size =\"37564416\"]\n  8 -> 28 [size =\"37564416\"]\n  9 [size=\"71497728\", alpha=\"0.15\", expect_size=\"35748864\"] \n  9 -> 18 [size =\"35748864\"]\n  9 -> 20 [size =\"35748864\"]\n  9 -> 21 [size =\"35748864\"]\n  9 -> 24 [size =\"35748864\"]\n  9 -> 25 [size =\"35748864\"]\n  9 -> 26 [size =\"35748864\"]\n  9 -> 28 [size =\"35748864\"]\n  9 -> 29 [size =\"35748864\"]\n  10 [size=\"80756736\", alpha=\"0.09\", expect_size=\"40378368\"] \n  10 -> 18 [size =\"40378368\"]\n  10 -> 20 [size =\"40378368\"]\n  10 -> 21 [size =\"40378368\"]\n  10 -> 22 [size =\"40378368\"]\n  10 -> 24 [size =\"40378368\"]\n  10 -> 28 [size =\"40378368\"]\n  10 -> 28 [size =\"40378368\"]\n  11 [size=\"14364672\", alpha=\"0.18\", expect_size=\"7182336\"] \n  11 -> 20 [size =\"7182336\"]\n  11 -> 20 [size =\"7182336\"]\n  11 -> 24 [size =\"7182336\"]\n  11 -> 27 [size =\"7182336\"]\n  11 -> 28 [size =\"7182336\"]\n  11 -> 28 [size =\"7182336\"]\n  11 -> 29 [size =\"7182336\"]\n  11 -> 30 [size =\"7182336\"]\n  12 [size=\"71815168\", alpha=\"0.12\", expect_size=\"35907584\"] \n  12 -> 18 [size =\"35907584\"]\n  12 -> 19 [size =\"35907584\"]\n  12 -> 20 [size =\"35907584\"]\n  12 -> 23 [size =\"35907584\"]\n  12 -> 24 [size =\"35907584\"]\n  12 -> 25 [size =\"35907584\"]\n  12 -> 27 [size =\"35907584\"]\n  12 -> 28 [size =\"35907584\"]\n  13 [size=\"94857216\", alpha=\"0.06\", expect_size=\"47428608\"] \n  13 -> 19 [size =\"47428608\"]\n  13 -> 20 [size =\"47428608\"]\n  13 -> 20 [size =\"47428608\"]\n  13 -> 24 [size =\"47428608\"]\n  13 -> 26 [size =\"47428608\"]\n  13 -> 27 [size =\"47428608\"]\n  13 -> 28 [size =\"47428608\"]\n  13 -> 30 [size =\"47428608\"]\n  14 [size=\"22996992\", alpha=\"0.18\", expect_size=\"11498496\"] \n  14 -> 17 [size =\"11498496\"]\n  14 -> 18 [size =\"11498496\"]\n  14 -> 20 [size =\"11498496\"]\n  14 -> 25 [size =\"11498496\"]\n  14 -> 26 [size =\"11498496\"]\n  14 -> 27 [size =\"11498496\"]\n  14 -> 28 [size =\"11498496\"]\n  14 -> 29 [size =\"11498496\"]\n  15 [size=\"74594304\", alpha=\"0.04\", expect_size=\"37297152\"] \n  15 -> 18 [size =\"37297152\"]\n  15 -> 21 [size =\"37297152\"]\n  15 -> 27 [size =\"37297152\"]\n  15 -> 28 [size =\"37297152\"]\n  15 -> 30 [size =\"37297152\"]\n  16 [size=\"11177984\", alpha=\"0.19\", expect_size=\"5588992\"] \n  16 -> 18 [size =\"5588992\"]\n  16 -> 20 [size =\"5588992\"]\n  16 -> 21 [size =\"5588992\"]\n  16 -> 24 [size =\"5588992\"]\n  16 -> 25 [size =\"5588992\"]\n  16 -> 27 [size =\"5588992\"]\n  17 [size=\"33226752\", alpha=\"0.06\", expect_size=\"16613376\"] \n  17 -> 31 [size =\"16613376\"]\n  17 -> 32 [size =\"16613376\"]\n  17 -> 34 [size =\"16613376\"]\n  17 -> 34 [size =\"16613376\"]\n  17 -> 36 [size =\"16613376\"]\n  17 -> 36 [size =\"16613376\"]\n  17 -> 37 [size =\"16613376\"]\n  17 -> 38 [size =\"16613376\"]\n  17 -> 40 [size =\"16613376\"]\n  18 [size=\"46835712\", alpha=\"0.02\", expect_size=\"23417856\"] \n  18 -> 31 [size =\"23417856\"]\n  18 -> 33 [size =\"23417856\"]\n  18 -> 34 [size =\"23417856\"]\n  18 -> 35 [size =\"23417856\"]\n  18 -> 38 [size =\"23417856\"]\n  19 [size=\"25200640\", alpha=\"0.05\", expect_size=\"12600320\"] \n  19 -> 31 [size =\"12600320\"]\n  19 -> 32 [size =\"12600320\"]\n  19 -> 34 [size =\"12600320\"]\n  19 -> 36 [size =\"12600320\"]\n  19 -> 38 [size =\"12600320\"]\n  20 [size=\"94664704\", alpha=\"0.09\", expect_size=\"47332352\"] \n  20 -> 31 [size =\"47332352\"]\n  20 -> 32 [size =\"47332352\"]\n  20 -> 33 [size =\"47332352\"]\n  20 -> 34 [size =\"47332352\"]\n  20 -> 36 [size =\"47332352\"]\n  20 -> 38 [size =\"47332352\"]\n  20 -> 39 [size =\"47332352\"]\n  21 [size=\"40857600\", alpha=\"0.15\", expect_size=\"20428800\"] \n  21 -> 31 [size =\"20428800\"]\n  21 -> 32 [size =\"20428800\"]\n  21 -> 33 [size =\"20428800\"]\n  21 -> 34 [size =\"20428800\"]\n  21 -> 35 [size =\"20428800\"]\n  21 -> 36 [size =\"20428800\"]\n  21 -> 37 [size =\"20428800\"]\n  21 -> 38 [size =\"20428800\"]\n  21 -> 39 [size =\"20428800\"]\n  22 [size=\"29411328\", alpha=\"0.17\", expect_size=\"14705664\"] \n  22 -> 33 [size =\"14705664\"]\n  22 -> 34 [size =\"14705664\"]\n  22 -> 38 [size =\"14705664\"]\n  22 -> 39 [size =\"14705664\"]\n  23 [size=\"86321152\", alpha=\"0.03\", expect_size=\"43160576\"] \n  23 -> 35 [size =\"43160576\"]\n  23 -> 38 [size =\"43160576\"]\n  23 -> 39 [size =\"43160576\"]\n  24 [size=\"22124544\", alpha=\"0.07\", expect_size=\"11062272\"] \n  24 -> 32 [size =\"11062272\"]\n  24 -> 36 [size =\"11062272\"]\n  24 -> 37 [size =\"11062272\"]\n  25 [size=\"12238848\", alpha=\"0.06\", expect_size=\"6119424\"] \n  25 -> 31 [size =\"6119424\"]\n  25 -> 32 [size =\"6119424\"]\n  25 -> 33 [size =\"6119424\"]\n  25 -> 37 [size =\"6119424\"]\n  25 -> 38 [size =\"6119424\"]\n  26 [size=\"30386176\", alpha=\"0.14\", expect_size=\"15193088\"] \n  26 -> 32 [size =\"15193088\"]\n  26 -> 33 [size =\"15193088\"]\n  26 -> 33 [size =\"15193088\"]\n  27 [size=\"27949056\", alpha=\"0.15\", expect_size=\"13974528\"] \n  27 -> 32 [size =\"13974528\"]\n  27 -> 33 [size =\"13974528\"]\n  27 -> 34 [size =\"13974528\"]\n  27 -> 37 [size =\"13974528\"]\n  27 -> 38 [size =\"13974528\"]\n  27 -> 39 [size =\"13974528\"]\n  28 [size=\"54614016\", alpha=\"0.09\", expect_size=\"27307008\"] \n  28 -> 32 [size =\"27307008\"]\n  28 -> 33 [size =\"27307008\"]\n  28 -> 34 [size =\"27307008\"]\n  28 -> 35 [size =\"27307008\"]\n  28 -> 36 [size =\"27307008\"]\n  28 -> 39 [size =\"27307008\"]\n  29 [size=\"63541248\", alpha=\"0.16\", expect_size=\"31770624\"] \n  29 -> 31 [size =\"31770624\"]\n  29 -> 32 [size =\"31770624\"]\n  29 -> 33 [size =\"31770624\"]\n  29 -> 34 [size =\"31770624\"]\n  29 -> 35 [size =\"31770624\"]\n  29 -> 36 [size =\"31770624\"]\n  29 -> 38 [size =\"31770624\"]\n  29 -> 39 [size =\"31770624\"]\n  30 [size=\"89323520\", alpha=\"0.18\", expect_size=\"44661760\"] \n  30 -> 31 [size =\"44661760\"]\n  30 -> 32 [size =\"44661760\"]\n  30 -> 33 [size =\"44661760\"]\n  30 -> 34 [size =\"44661760\"]\n  30 -> 35 [size =\"44661760\"]\n  30 -> 36 [size =\"44661760\"]\n  30 -> 40 [size =\"44661760\"]\n  31 [size=\"36907008\", alpha=\"0.01\", expect_size=\"18453504\"] \n  32 [size=\"14985216\", alpha=\"0.17\", expect_size=\"7492608\"] \n  33 [size=\"96409600\", alpha=\"0.10\", expect_size=\"48204800\"] \n  34 [size=\"15132672\", alpha=\"0.07\", expect_size=\"7566336\"] \n  35 [size=\"50309120\", alpha=\"0.17\", expect_size=\"25154560\"] \n  36 [size=\"76591104\", alpha=\"0.07\", expect_size=\"38295552\"] \n  37 [size=\"49762304\", alpha=\"0.01\", expect_size=\"24881152\"] \n  38 [size=\"25077760\", alpha=\"0.04\", expect_size=\"12538880\"] \n  39 [size=\"67182592\", alpha=\"0.10\", expect_size=\"33591296\"] \n  40 [size=\"48343040\", alpha=\"0.13\", expect_size=\"24171520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34370560\", alpha=\"0.11\", expect_size=\"13748224\"] \n  1 -> 2 [size =\"13748224\"]\n  2 [size=\"55953920\", alpha=\"0.09\", expect_size=\"22381568\"] \n  2 -> 3 [size =\"22381568\"]\n  3 [size=\"108659200\", alpha=\"0.01\", expect_size=\"43463680\"] \n  3 -> 4 [size =\"43463680\"]\n  4 [size=\"51089920\", alpha=\"0.01\", expect_size=\"20435968\"] \n  4 -> 5 [size =\"20435968\"]\n  5 [size=\"58746880\", alpha=\"0.07\", expect_size=\"23498752\"] \n  5 -> 6 [size =\"23498752\"]\n  6 [size=\"96678400\", alpha=\"0.18\", expect_size=\"38671360\"] \n  6 -> 7 [size =\"38671360\"]\n  7 [size=\"116679680\", alpha=\"0.06\", expect_size=\"46671872\"] \n  7 -> 8 [size =\"46671872\"]\n  8 [size=\"97433600\", alpha=\"0.16\", expect_size=\"38973440\"] \n  8 -> 9 [size =\"38973440\"]\n  9 [size=\"47879680\", alpha=\"0.11\", expect_size=\"19151872\"] \n  9 -> 10 [size =\"19151872\"]\n  10 [size=\"125967360\", alpha=\"0.07\", expect_size=\"50386944\"] \n  10 -> 11 [size =\"50386944\"]\n  11 [size=\"55534080\", alpha=\"0.10\", expect_size=\"22213632\"] \n  11 -> 12 [size =\"22213632\"]\n  12 [size=\"120762880\", alpha=\"0.04\", expect_size=\"48305152\"] \n  12 -> 13 [size =\"48305152\"]\n  13 [size=\"55319040\", alpha=\"0.19\", expect_size=\"22127616\"] \n  13 -> 14 [size =\"22127616\"]\n  14 [size=\"58360320\", alpha=\"0.18\", expect_size=\"23344128\"] \n  14 -> 15 [size =\"23344128\"]\n  15 [size=\"65036800\", alpha=\"0.16\", expect_size=\"26014720\"] \n  15 -> 16 [size =\"26014720\"]\n  16 [size=\"109199360\", alpha=\"0.03\", expect_size=\"43679744\"] \n  16 -> 17 [size =\"43679744\"]\n  17 [size=\"98910720\", alpha=\"0.06\", expect_size=\"39564288\"] \n  17 -> 18 [size =\"39564288\"]\n  18 [size=\"14924800\", alpha=\"0.16\", expect_size=\"5969920\"] \n  18 -> 19 [size =\"5969920\"]\n  19 [size=\"108167680\", alpha=\"0.19\", expect_size=\"43267072\"] \n  19 -> 20 [size =\"43267072\"]\n  20 [size=\"55308800\", alpha=\"0.02\", expect_size=\"22123520\"] \n  20 -> 21 [size =\"22123520\"]\n  21 [size=\"96084480\", alpha=\"0.08\", expect_size=\"38433792\"] \n  21 -> 22 [size =\"38433792\"]\n  22 [size=\"39928320\", alpha=\"0.02\", expect_size=\"15971328\"] \n  22 -> 23 [size =\"15971328\"]\n  23 [size=\"64355840\", alpha=\"0.12\", expect_size=\"25742336\"] \n  23 -> 24 [size =\"25742336\"]\n  24 [size=\"58897920\", alpha=\"0.09\", expect_size=\"23559168\"] \n  24 -> 25 [size =\"23559168\"]\n  25 [size=\"46320640\", alpha=\"0.13\", expect_size=\"18528256\"] \n  25 -> 26 [size =\"18528256\"]\n  26 [size=\"21621760\", alpha=\"0.11\", expect_size=\"8648704\"] \n  26 -> 27 [size =\"8648704\"]\n  27 [size=\"36577280\", alpha=\"0.07\", expect_size=\"14630912\"] \n  27 -> 28 [size =\"14630912\"]\n  28 [size=\"72814080\", alpha=\"0.17\", expect_size=\"29125632\"] \n  28 -> 29 [size =\"29125632\"]\n  29 [size=\"46400000\", alpha=\"0.13\", expect_size=\"18560000\"] \n  29 -> 30 [size =\"18560000\"]\n  30 [size=\"40250880\", alpha=\"0.09\", expect_size=\"16100352\"] \n  30 -> 31 [size =\"16100352\"]\n  31 [size=\"51317760\", alpha=\"0.11\", expect_size=\"20527104\"] \n  31 -> 32 [size =\"20527104\"]\n  32 [size=\"100866560\", alpha=\"0.12\", expect_size=\"40346624\"] \n  32 -> 33 [size =\"40346624\"]\n  33 [size=\"113779200\", alpha=\"0.19\", expect_size=\"45511680\"] \n  33 -> 34 [size =\"45511680\"]\n  34 [size=\"67645440\", alpha=\"0.15\", expect_size=\"27058176\"] \n  34 -> 35 [size =\"27058176\"]\n  35 [size=\"118415360\", alpha=\"0.19\", expect_size=\"47366144\"] \n  35 -> 36 [size =\"47366144\"]\n  36 [size=\"75799040\", alpha=\"0.20\", expect_size=\"30319616\"] \n  36 -> 37 [size =\"30319616\"]\n  37 [size=\"23370240\", alpha=\"0.15\", expect_size=\"9348096\"] \n  37 -> 38 [size =\"9348096\"]\n  38 [size=\"64704000\", alpha=\"0.10\", expect_size=\"25881600\"] \n  38 -> 39 [size =\"25881600\"]\n  39 [size=\"48194560\", alpha=\"0.02\", expect_size=\"19277824\"] \n  39 -> 40 [size =\"19277824\"]\n  40 [size=\"126584320\", alpha=\"0.01\", expect_size=\"50633728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23316480\", alpha=\"0.05\", expect_size=\"9326592\"] \n  1 -> 2 [size =\"9326592\"]\n  2 [size=\"79895040\", alpha=\"0.02\", expect_size=\"31958016\"] \n  2 -> 3 [size =\"31958016\"]\n  3 [size=\"63265280\", alpha=\"0.14\", expect_size=\"25306112\"] \n  3 -> 4 [size =\"25306112\"]\n  4 [size=\"50321920\", alpha=\"0.18\", expect_size=\"20128768\"] \n  4 -> 5 [size =\"20128768\"]\n  5 [size=\"69662720\", alpha=\"0.19\", expect_size=\"27865088\"] \n  5 -> 6 [size =\"27865088\"]\n  6 [size=\"101498880\", alpha=\"0.08\", expect_size=\"40599552\"] \n  6 -> 7 [size =\"40599552\"]\n  7 [size=\"107164160\", alpha=\"0.08\", expect_size=\"42865664\"] \n  7 -> 8 [size =\"42865664\"]\n  8 [size=\"113597440\", alpha=\"0.17\", expect_size=\"45438976\"] \n  8 -> 9 [size =\"45438976\"]\n  9 [size=\"42905600\", alpha=\"0.18\", expect_size=\"17162240\"] \n  9 -> 10 [size =\"17162240\"]\n  10 [size=\"33715200\", alpha=\"0.02\", expect_size=\"13486080\"] \n  10 -> 11 [size =\"13486080\"]\n  11 [size=\"65730560\", alpha=\"0.04\", expect_size=\"26292224\"] \n  11 -> 12 [size =\"26292224\"]\n  12 [size=\"94318080\", alpha=\"0.18\", expect_size=\"37727232\"] \n  12 -> 13 [size =\"37727232\"]\n  13 [size=\"107834880\", alpha=\"0.01\", expect_size=\"43133952\"] \n  13 -> 14 [size =\"43133952\"]\n  14 [size=\"74813440\", alpha=\"0.03\", expect_size=\"29925376\"] \n  14 -> 15 [size =\"29925376\"]\n  15 [size=\"62016000\", alpha=\"0.13\", expect_size=\"24806400\"] \n  15 -> 16 [size =\"24806400\"]\n  16 [size=\"55749120\", alpha=\"0.11\", expect_size=\"22299648\"] \n  16 -> 17 [size =\"22299648\"]\n  17 [size=\"102863360\", alpha=\"0.19\", expect_size=\"41145344\"] \n  17 -> 18 [size =\"41145344\"]\n  18 [size=\"31613440\", alpha=\"0.10\", expect_size=\"12645376\"] \n  18 -> 19 [size =\"12645376\"]\n  19 [size=\"13283840\", alpha=\"0.06\", expect_size=\"5313536\"] \n  19 -> 20 [size =\"5313536\"]\n  20 [size=\"121666560\", alpha=\"0.06\", expect_size=\"48666624\"] \n  20 -> 21 [size =\"48666624\"]\n  21 [size=\"17054720\", alpha=\"0.08\", expect_size=\"6821888\"] \n  21 -> 22 [size =\"6821888\"]\n  22 [size=\"41640960\", alpha=\"0.02\", expect_size=\"16656384\"] \n  22 -> 23 [size =\"16656384\"]\n  23 [size=\"30845440\", alpha=\"0.04\", expect_size=\"12338176\"] \n  23 -> 24 [size =\"12338176\"]\n  24 [size=\"34493440\", alpha=\"0.12\", expect_size=\"13797376\"] \n  24 -> 25 [size =\"13797376\"]\n  25 [size=\"53880320\", alpha=\"0.09\", expect_size=\"21552128\"] \n  25 -> 26 [size =\"21552128\"]\n  26 [size=\"131005440\", alpha=\"0.02\", expect_size=\"52402176\"] \n  26 -> 27 [size =\"52402176\"]\n  27 [size=\"75763200\", alpha=\"0.11\", expect_size=\"30305280\"] \n  27 -> 28 [size =\"30305280\"]\n  28 [size=\"67210240\", alpha=\"0.17\", expect_size=\"26884096\"] \n  28 -> 29 [size =\"26884096\"]\n  29 [size=\"126105600\", alpha=\"0.07\", expect_size=\"50442240\"] \n  29 -> 30 [size =\"50442240\"]\n  30 [size=\"43307520\", alpha=\"0.02\", expect_size=\"17323008\"] \n  30 -> 31 [size =\"17323008\"]\n  31 [size=\"80245760\", alpha=\"0.05\", expect_size=\"32098304\"] \n  31 -> 32 [size =\"32098304\"]\n  32 [size=\"129164800\", alpha=\"0.02\", expect_size=\"51665920\"] \n  32 -> 33 [size =\"51665920\"]\n  33 [size=\"20925440\", alpha=\"0.15\", expect_size=\"8370176\"] \n  33 -> 34 [size =\"8370176\"]\n  34 [size=\"41617920\", alpha=\"0.18\", expect_size=\"16647168\"] \n  34 -> 35 [size =\"16647168\"]\n  35 [size=\"110492160\", alpha=\"0.10\", expect_size=\"44196864\"] \n  35 -> 36 [size =\"44196864\"]\n  36 [size=\"48181760\", alpha=\"0.09\", expect_size=\"19272704\"] \n  36 -> 37 [size =\"19272704\"]\n  37 [size=\"61035520\", alpha=\"0.03\", expect_size=\"24414208\"] \n  37 -> 38 [size =\"24414208\"]\n  38 [size=\"125155840\", alpha=\"0.01\", expect_size=\"50062336\"] \n  38 -> 39 [size =\"50062336\"]\n  39 [size=\"105098240\", alpha=\"0.18\", expect_size=\"42039296\"] \n  39 -> 40 [size =\"42039296\"]\n  40 [size=\"30663680\", alpha=\"0.14\", expect_size=\"12265472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84799488\", alpha=\"0.03\", expect_size=\"42399744\"] \n  1 -> 5 [size =\"42399744\"]\n  2 [size=\"84828160\", alpha=\"0.07\", expect_size=\"42414080\"] \n  2 -> 4 [size =\"42414080\"]\n  2 -> 6 [size =\"42414080\"]\n  3 [size=\"84633600\", alpha=\"0.06\", expect_size=\"42316800\"] \n  3 -> 4 [size =\"42316800\"]\n  3 -> 6 [size =\"42316800\"]\n  4 [size=\"33601536\", alpha=\"0.18\", expect_size=\"16800768\"] \n  5 [size=\"53704704\", alpha=\"0.03\", expect_size=\"26852352\"] \n  5 -> 8 [size =\"26852352\"]\n  6 [size=\"39647232\", alpha=\"0.18\", expect_size=\"19823616\"] \n  6 -> 7 [size =\"19823616\"]\n  6 -> 8 [size =\"19823616\"]\n  6 -> 9 [size =\"19823616\"]\n  7 [size=\"35452928\", alpha=\"0.18\", expect_size=\"17726464\"] \n  7 -> 10 [size =\"17726464\"]\n  7 -> 12 [size =\"17726464\"]\n  8 [size=\"79589376\", alpha=\"0.03\", expect_size=\"39794688\"] \n  8 -> 10 [size =\"39794688\"]\n  8 -> 12 [size =\"39794688\"]\n  9 [size=\"76359680\", alpha=\"0.01\", expect_size=\"38179840\"] \n  9 -> 10 [size =\"38179840\"]\n  9 -> 11 [size =\"38179840\"]\n  9 -> 12 [size =\"38179840\"]\n  10 [size=\"104777728\", alpha=\"0.05\", expect_size=\"52388864\"] \n  10 -> 13 [size =\"52388864\"]\n  10 -> 14 [size =\"52388864\"]\n  10 -> 15 [size =\"52388864\"]\n  11 [size=\"44652544\", alpha=\"0.01\", expect_size=\"22326272\"] \n  12 [size=\"58118144\", alpha=\"0.08\", expect_size=\"29059072\"] \n  12 -> 13 [size =\"29059072\"]\n  12 -> 14 [size =\"29059072\"]\n  12 -> 15 [size =\"29059072\"]\n  13 [size=\"88909824\", alpha=\"0.04\", expect_size=\"44454912\"] \n  13 -> 16 [size =\"44454912\"]\n  14 [size=\"23734272\", alpha=\"0.01\", expect_size=\"11867136\"] \n  14 -> 17 [size =\"11867136\"]\n  15 [size=\"12961792\", alpha=\"0.05\", expect_size=\"6480896\"] \n  15 -> 16 [size =\"6480896\"]\n  16 [size=\"26210304\", alpha=\"0.07\", expect_size=\"13105152\"] \n  16 -> 18 [size =\"13105152\"]\n  16 -> 19 [size =\"13105152\"]\n  16 -> 20 [size =\"13105152\"]\n  17 [size=\"18788352\", alpha=\"0.03\", expect_size=\"9394176\"] \n  17 -> 18 [size =\"9394176\"]\n  17 -> 19 [size =\"9394176\"]\n  18 [size=\"11079680\", alpha=\"0.13\", expect_size=\"5539840\"] \n  19 [size=\"23601152\", alpha=\"0.14\", expect_size=\"11800576\"] \n  19 -> 21 [size =\"11800576\"]\n  19 -> 22 [size =\"11800576\"]\n  20 [size=\"29007872\", alpha=\"0.11\", expect_size=\"14503936\"] \n  20 -> 21 [size =\"14503936\"]\n  20 -> 22 [size =\"14503936\"]\n  21 [size=\"54644736\", alpha=\"0.04\", expect_size=\"27322368\"] \n  21 -> 24 [size =\"27322368\"]\n  21 -> 25 [size =\"27322368\"]\n  22 [size=\"60729344\", alpha=\"0.12\", expect_size=\"30364672\"] \n  22 -> 23 [size =\"30364672\"]\n  22 -> 25 [size =\"30364672\"]\n  23 [size=\"99235840\", alpha=\"0.16\", expect_size=\"49617920\"] \n  23 -> 26 [size =\"49617920\"]\n  24 [size=\"21905408\", alpha=\"0.05\", expect_size=\"10952704\"] \n  24 -> 27 [size =\"10952704\"]\n  24 -> 28 [size =\"10952704\"]\n  25 [size=\"25765888\", alpha=\"0.04\", expect_size=\"12882944\"] \n  25 -> 27 [size =\"12882944\"]\n  25 -> 28 [size =\"12882944\"]\n  26 [size=\"50311168\", alpha=\"0.08\", expect_size=\"25155584\"] \n  27 [size=\"84064256\", alpha=\"0.18\", expect_size=\"42032128\"] \n  27 -> 29 [size =\"42032128\"]\n  28 [size=\"98297856\", alpha=\"0.02\", expect_size=\"49148928\"] \n  28 -> 30 [size =\"49148928\"]\n  28 -> 31 [size =\"49148928\"]\n  29 [size=\"66238464\", alpha=\"0.00\", expect_size=\"33119232\"] \n  29 -> 33 [size =\"33119232\"]\n  30 [size=\"39421952\", alpha=\"0.18\", expect_size=\"19710976\"] \n  30 -> 33 [size =\"19710976\"]\n  31 [size=\"92383232\", alpha=\"0.04\", expect_size=\"46191616\"] \n  31 -> 32 [size =\"46191616\"]\n  31 -> 33 [size =\"46191616\"]\n  32 [size=\"16322560\", alpha=\"0.20\", expect_size=\"8161280\"] \n  32 -> 34 [size =\"8161280\"]\n  33 [size=\"74326016\", alpha=\"0.12\", expect_size=\"37163008\"] \n  33 -> 34 [size =\"37163008\"]\n  33 -> 35 [size =\"37163008\"]\n  33 -> 36 [size =\"37163008\"]\n  34 [size=\"57427968\", alpha=\"0.07\", expect_size=\"28713984\"] \n  34 -> 37 [size =\"28713984\"]\n  34 -> 38 [size =\"28713984\"]\n  35 [size=\"83118080\", alpha=\"0.02\", expect_size=\"41559040\"] \n  36 [size=\"100243456\", alpha=\"0.01\", expect_size=\"50121728\"] \n  36 -> 37 [size =\"50121728\"]\n  36 -> 38 [size =\"50121728\"]\n  37 [size=\"43595776\", alpha=\"0.02\", expect_size=\"21797888\"] \n  38 [size=\"32514048\", alpha=\"0.03\", expect_size=\"16257024\"] \n  38 -> 39 [size =\"16257024\"]\n  38 -> 40 [size =\"16257024\"]\n  39 [size=\"41730048\", alpha=\"0.06\", expect_size=\"20865024\"] \n  40 [size=\"42747904\", alpha=\"0.14\", expect_size=\"21373952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31093760\", alpha=\"0.13\", expect_size=\"12437504\"] \n  1 -> 4 [size =\"12437504\"]\n  1 -> 5 [size =\"12437504\"]\n  1 -> 6 [size =\"12437504\"]\n  2 [size=\"32325120\", alpha=\"0.08\", expect_size=\"12930048\"] \n  3 [size=\"92480000\", alpha=\"0.04\", expect_size=\"36992000\"] \n  3 -> 4 [size =\"36992000\"]\n  4 [size=\"49968640\", alpha=\"0.17\", expect_size=\"19987456\"] \n  4 -> 7 [size =\"19987456\"]\n  4 -> 8 [size =\"19987456\"]\n  5 [size=\"118837760\", alpha=\"0.11\", expect_size=\"47535104\"] \n  5 -> 7 [size =\"47535104\"]\n  5 -> 8 [size =\"47535104\"]\n  6 [size=\"70858240\", alpha=\"0.12\", expect_size=\"28343296\"] \n  6 -> 7 [size =\"28343296\"]\n  6 -> 8 [size =\"28343296\"]\n  7 [size=\"51230720\", alpha=\"0.10\", expect_size=\"20492288\"] \n  7 -> 10 [size =\"20492288\"]\n  7 -> 11 [size =\"20492288\"]\n  8 [size=\"102620160\", alpha=\"0.01\", expect_size=\"41048064\"] \n  8 -> 9 [size =\"41048064\"]\n  8 -> 10 [size =\"41048064\"]\n  9 [size=\"68661760\", alpha=\"0.14\", expect_size=\"27464704\"] \n  9 -> 13 [size =\"27464704\"]\n  9 -> 14 [size =\"27464704\"]\n  10 [size=\"79109120\", alpha=\"0.01\", expect_size=\"31643648\"] \n  10 -> 12 [size =\"31643648\"]\n  10 -> 14 [size =\"31643648\"]\n  11 [size=\"102950400\", alpha=\"0.14\", expect_size=\"41180160\"] \n  11 -> 14 [size =\"41180160\"]\n  12 [size=\"63879680\", alpha=\"0.03\", expect_size=\"25551872\"] \n  12 -> 15 [size =\"25551872\"]\n  12 -> 17 [size =\"25551872\"]\n  13 [size=\"109626880\", alpha=\"0.04\", expect_size=\"43850752\"] \n  13 -> 16 [size =\"43850752\"]\n  14 [size=\"14860800\", alpha=\"0.10\", expect_size=\"5944320\"] \n  14 -> 16 [size =\"5944320\"]\n  15 [size=\"113968640\", alpha=\"0.06\", expect_size=\"45587456\"] \n  15 -> 19 [size =\"45587456\"]\n  16 [size=\"58608640\", alpha=\"0.13\", expect_size=\"23443456\"] \n  16 -> 19 [size =\"23443456\"]\n  17 [size=\"128166400\", alpha=\"0.17\", expect_size=\"51266560\"] \n  17 -> 18 [size =\"51266560\"]\n  17 -> 19 [size =\"51266560\"]\n  18 [size=\"68812800\", alpha=\"0.08\", expect_size=\"27525120\"] \n  18 -> 20 [size =\"27525120\"]\n  18 -> 21 [size =\"27525120\"]\n  19 [size=\"77207040\", alpha=\"0.08\", expect_size=\"30882816\"] \n  19 -> 20 [size =\"30882816\"]\n  20 [size=\"41018880\", alpha=\"0.03\", expect_size=\"16407552\"] \n  20 -> 23 [size =\"16407552\"]\n  20 -> 24 [size =\"16407552\"]\n  21 [size=\"45273600\", alpha=\"0.02\", expect_size=\"18109440\"] \n  21 -> 22 [size =\"18109440\"]\n  21 -> 23 [size =\"18109440\"]\n  21 -> 24 [size =\"18109440\"]\n  22 [size=\"128263680\", alpha=\"0.04\", expect_size=\"51305472\"] \n  23 [size=\"30369280\", alpha=\"0.20\", expect_size=\"12147712\"] \n  23 -> 25 [size =\"12147712\"]\n  23 -> 27 [size =\"12147712\"]\n  24 [size=\"55930880\", alpha=\"0.02\", expect_size=\"22372352\"] \n  24 -> 25 [size =\"22372352\"]\n  24 -> 26 [size =\"22372352\"]\n  24 -> 27 [size =\"22372352\"]\n  25 [size=\"116812800\", alpha=\"0.01\", expect_size=\"46725120\"] \n  25 -> 29 [size =\"46725120\"]\n  26 [size=\"31544320\", alpha=\"0.11\", expect_size=\"12617728\"] \n  26 -> 28 [size =\"12617728\"]\n  27 [size=\"107520000\", alpha=\"0.07\", expect_size=\"43008000\"] \n  27 -> 28 [size =\"43008000\"]\n  28 [size=\"92707840\", alpha=\"0.18\", expect_size=\"37083136\"] \n  28 -> 32 [size =\"37083136\"]\n  29 [size=\"22784000\", alpha=\"0.19\", expect_size=\"9113600\"] \n  29 -> 30 [size =\"9113600\"]\n  29 -> 31 [size =\"9113600\"]\n  29 -> 32 [size =\"9113600\"]\n  30 [size=\"67763200\", alpha=\"0.10\", expect_size=\"27105280\"] \n  30 -> 34 [size =\"27105280\"]\n  31 [size=\"87861760\", alpha=\"0.17\", expect_size=\"35144704\"] \n  31 -> 33 [size =\"35144704\"]\n  31 -> 34 [size =\"35144704\"]\n  32 [size=\"101063680\", alpha=\"0.13\", expect_size=\"40425472\"] \n  33 [size=\"126592000\", alpha=\"0.05\", expect_size=\"50636800\"] \n  33 -> 35 [size =\"50636800\"]\n  33 -> 36 [size =\"50636800\"]\n  33 -> 37 [size =\"50636800\"]\n  34 [size=\"125854720\", alpha=\"0.17\", expect_size=\"50341888\"] \n  34 -> 35 [size =\"50341888\"]\n  34 -> 36 [size =\"50341888\"]\n  34 -> 37 [size =\"50341888\"]\n  35 [size=\"17751040\", alpha=\"0.07\", expect_size=\"7100416\"] \n  35 -> 38 [size =\"7100416\"]\n  35 -> 39 [size =\"7100416\"]\n  36 [size=\"25978880\", alpha=\"0.04\", expect_size=\"10391552\"] \n  36 -> 38 [size =\"10391552\"]\n  36 -> 39 [size =\"10391552\"]\n  37 [size=\"90324480\", alpha=\"0.00\", expect_size=\"36129792\"] \n  38 [size=\"130946560\", alpha=\"0.06\", expect_size=\"52378624\"] \n  38 -> 40 [size =\"52378624\"]\n  39 [size=\"119393280\", alpha=\"0.03\", expect_size=\"47757312\"] \n  40 [size=\"111224320\", alpha=\"0.05\", expect_size=\"44489728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58634240\", alpha=\"0.11\", expect_size=\"29317120\"] \n  1 -> 4 [size =\"29317120\"]\n  1 -> 5 [size =\"29317120\"]\n  2 [size=\"55830528\", alpha=\"0.20\", expect_size=\"27915264\"] \n  2 -> 4 [size =\"27915264\"]\n  3 [size=\"17254400\", alpha=\"0.03\", expect_size=\"8627200\"] \n  4 [size=\"82550784\", alpha=\"0.15\", expect_size=\"41275392\"] \n  4 -> 6 [size =\"41275392\"]\n  4 -> 7 [size =\"41275392\"]\n  5 [size=\"64575488\", alpha=\"0.05\", expect_size=\"32287744\"] \n  5 -> 7 [size =\"32287744\"]\n  6 [size=\"46569472\", alpha=\"0.08\", expect_size=\"23284736\"] \n  6 -> 8 [size =\"23284736\"]\n  6 -> 9 [size =\"23284736\"]\n  6 -> 10 [size =\"23284736\"]\n  7 [size=\"44019712\", alpha=\"0.05\", expect_size=\"22009856\"] \n  7 -> 9 [size =\"22009856\"]\n  7 -> 10 [size =\"22009856\"]\n  8 [size=\"11624448\", alpha=\"0.09\", expect_size=\"5812224\"] \n  9 [size=\"47527936\", alpha=\"0.08\", expect_size=\"23763968\"] \n  9 -> 12 [size =\"23763968\"]\n  10 [size=\"37148672\", alpha=\"0.04\", expect_size=\"18574336\"] \n  10 -> 11 [size =\"18574336\"]\n  11 [size=\"48472064\", alpha=\"0.08\", expect_size=\"24236032\"] \n  11 -> 13 [size =\"24236032\"]\n  12 [size=\"100722688\", alpha=\"0.10\", expect_size=\"50361344\"] \n  12 -> 14 [size =\"50361344\"]\n  12 -> 15 [size =\"50361344\"]\n  13 [size=\"100190208\", alpha=\"0.16\", expect_size=\"50095104\"] \n  13 -> 16 [size =\"50095104\"]\n  13 -> 17 [size =\"50095104\"]\n  13 -> 18 [size =\"50095104\"]\n  14 [size=\"20297728\", alpha=\"0.10\", expect_size=\"10148864\"] \n  14 -> 16 [size =\"10148864\"]\n  14 -> 17 [size =\"10148864\"]\n  14 -> 18 [size =\"10148864\"]\n  15 [size=\"88997888\", alpha=\"0.17\", expect_size=\"44498944\"] \n  15 -> 16 [size =\"44498944\"]\n  15 -> 18 [size =\"44498944\"]\n  16 [size=\"19017728\", alpha=\"0.14\", expect_size=\"9508864\"] \n  16 -> 19 [size =\"9508864\"]\n  16 -> 20 [size =\"9508864\"]\n  17 [size=\"58767360\", alpha=\"0.14\", expect_size=\"29383680\"] \n  17 -> 20 [size =\"29383680\"]\n  18 [size=\"84060160\", alpha=\"0.03\", expect_size=\"42030080\"] \n  18 -> 20 [size =\"42030080\"]\n  19 [size=\"32217088\", alpha=\"0.00\", expect_size=\"16108544\"] \n  19 -> 21 [size =\"16108544\"]\n  20 [size=\"69312512\", alpha=\"0.16\", expect_size=\"34656256\"] \n  20 -> 21 [size =\"34656256\"]\n  20 -> 22 [size =\"34656256\"]\n  21 [size=\"89581568\", alpha=\"0.02\", expect_size=\"44790784\"] \n  21 -> 23 [size =\"44790784\"]\n  21 -> 24 [size =\"44790784\"]\n  22 [size=\"33452032\", alpha=\"0.18\", expect_size=\"16726016\"] \n  22 -> 23 [size =\"16726016\"]\n  22 -> 24 [size =\"16726016\"]\n  23 [size=\"81545216\", alpha=\"0.15\", expect_size=\"40772608\"] \n  23 -> 25 [size =\"40772608\"]\n  23 -> 26 [size =\"40772608\"]\n  24 [size=\"61702144\", alpha=\"0.07\", expect_size=\"30851072\"] \n  24 -> 25 [size =\"30851072\"]\n  24 -> 26 [size =\"30851072\"]\n  25 [size=\"14325760\", alpha=\"0.11\", expect_size=\"7162880\"] \n  25 -> 27 [size =\"7162880\"]\n  25 -> 29 [size =\"7162880\"]\n  26 [size=\"96774144\", alpha=\"0.02\", expect_size=\"48387072\"] \n  26 -> 27 [size =\"48387072\"]\n  26 -> 28 [size =\"48387072\"]\n  26 -> 29 [size =\"48387072\"]\n  27 [size=\"66430976\", alpha=\"0.01\", expect_size=\"33215488\"] \n  27 -> 31 [size =\"33215488\"]\n  27 -> 32 [size =\"33215488\"]\n  28 [size=\"39208960\", alpha=\"0.20\", expect_size=\"19604480\"] \n  28 -> 30 [size =\"19604480\"]\n  29 [size=\"51791872\", alpha=\"0.06\", expect_size=\"25895936\"] \n  29 -> 31 [size =\"25895936\"]\n  29 -> 32 [size =\"25895936\"]\n  30 [size=\"52826112\", alpha=\"0.19\", expect_size=\"26413056\"] \n  30 -> 34 [size =\"26413056\"]\n  30 -> 35 [size =\"26413056\"]\n  30 -> 35 [size =\"26413056\"]\n  31 [size=\"34166784\", alpha=\"0.19\", expect_size=\"17083392\"] \n  31 -> 34 [size =\"17083392\"]\n  32 [size=\"43960320\", alpha=\"0.19\", expect_size=\"21980160\"] \n  32 -> 33 [size =\"21980160\"]\n  32 -> 34 [size =\"21980160\"]\n  32 -> 35 [size =\"21980160\"]\n  33 [size=\"33183744\", alpha=\"0.17\", expect_size=\"16591872\"] \n  33 -> 36 [size =\"16591872\"]\n  33 -> 37 [size =\"16591872\"]\n  34 [size=\"102977536\", alpha=\"0.18\", expect_size=\"51488768\"] \n  34 -> 36 [size =\"51488768\"]\n  34 -> 37 [size =\"51488768\"]\n  34 -> 38 [size =\"51488768\"]\n  35 [size=\"42289152\", alpha=\"0.15\", expect_size=\"21144576\"] \n  35 -> 37 [size =\"21144576\"]\n  35 -> 38 [size =\"21144576\"]\n  36 [size=\"93958144\", alpha=\"0.14\", expect_size=\"46979072\"] \n  37 [size=\"10950656\", alpha=\"0.03\", expect_size=\"5475328\"] \n  37 -> 39 [size =\"5475328\"]\n  37 -> 40 [size =\"5475328\"]\n  38 [size=\"15548416\", alpha=\"0.08\", expect_size=\"7774208\"] \n  38 -> 40 [size =\"7774208\"]\n  38 -> 40 [size =\"7774208\"]\n  39 [size=\"14514176\", alpha=\"0.17\", expect_size=\"7257088\"] \n  40 [size=\"44896256\", alpha=\"0.19\", expect_size=\"22448128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88477696\", alpha=\"0.12\", expect_size=\"44238848\"] \n  1 -> 2 [size =\"44238848\"]\n  2 [size=\"12187648\", alpha=\"0.08\", expect_size=\"6093824\"] \n  2 -> 3 [size =\"6093824\"]\n  3 [size=\"15790080\", alpha=\"0.03\", expect_size=\"7895040\"] \n  3 -> 4 [size =\"7895040\"]\n  4 [size=\"57223168\", alpha=\"0.18\", expect_size=\"28611584\"] \n  4 -> 5 [size =\"28611584\"]\n  5 [size=\"66840576\", alpha=\"0.09\", expect_size=\"33420288\"] \n  5 -> 6 [size =\"33420288\"]\n  6 [size=\"30220288\", alpha=\"0.01\", expect_size=\"15110144\"] \n  6 -> 7 [size =\"15110144\"]\n  7 [size=\"41428992\", alpha=\"0.02\", expect_size=\"20714496\"] \n  7 -> 8 [size =\"20714496\"]\n  8 [size=\"87767040\", alpha=\"0.17\", expect_size=\"43883520\"] \n  8 -> 9 [size =\"43883520\"]\n  9 [size=\"65118208\", alpha=\"0.14\", expect_size=\"32559104\"] \n  9 -> 10 [size =\"32559104\"]\n  10 [size=\"69822464\", alpha=\"0.01\", expect_size=\"34911232\"] \n  10 -> 11 [size =\"34911232\"]\n  11 [size=\"102420480\", alpha=\"0.18\", expect_size=\"51210240\"] \n  11 -> 12 [size =\"51210240\"]\n  12 [size=\"66021376\", alpha=\"0.15\", expect_size=\"33010688\"] \n  12 -> 13 [size =\"33010688\"]\n  13 [size=\"11538432\", alpha=\"0.20\", expect_size=\"5769216\"] \n  13 -> 14 [size =\"5769216\"]\n  14 [size=\"25331712\", alpha=\"0.00\", expect_size=\"12665856\"] \n  14 -> 15 [size =\"12665856\"]\n  15 [size=\"15988736\", alpha=\"0.01\", expect_size=\"7994368\"] \n  15 -> 16 [size =\"7994368\"]\n  16 [size=\"56619008\", alpha=\"0.05\", expect_size=\"28309504\"] \n  16 -> 17 [size =\"28309504\"]\n  17 [size=\"62955520\", alpha=\"0.05\", expect_size=\"31477760\"] \n  17 -> 18 [size =\"31477760\"]\n  18 [size=\"70621184\", alpha=\"0.11\", expect_size=\"35310592\"] \n  18 -> 19 [size =\"35310592\"]\n  19 [size=\"56725504\", alpha=\"0.15\", expect_size=\"28362752\"] \n  19 -> 20 [size =\"28362752\"]\n  20 [size=\"30584832\", alpha=\"0.14\", expect_size=\"15292416\"] \n  20 -> 21 [size =\"15292416\"]\n  21 [size=\"37636096\", alpha=\"0.10\", expect_size=\"18818048\"] \n  21 -> 22 [size =\"18818048\"]\n  22 [size=\"28579840\", alpha=\"0.06\", expect_size=\"14289920\"] \n  22 -> 23 [size =\"14289920\"]\n  23 [size=\"99708928\", alpha=\"0.04\", expect_size=\"49854464\"] \n  23 -> 24 [size =\"49854464\"]\n  24 [size=\"97820672\", alpha=\"0.11\", expect_size=\"48910336\"] \n  24 -> 25 [size =\"48910336\"]\n  25 [size=\"99125248\", alpha=\"0.10\", expect_size=\"49562624\"] \n  25 -> 26 [size =\"49562624\"]\n  26 [size=\"101801984\", alpha=\"0.13\", expect_size=\"50900992\"] \n  26 -> 27 [size =\"50900992\"]\n  27 [size=\"32768000\", alpha=\"0.03\", expect_size=\"16384000\"] \n  27 -> 28 [size =\"16384000\"]\n  28 [size=\"58236928\", alpha=\"0.10\", expect_size=\"29118464\"] \n  28 -> 29 [size =\"29118464\"]\n  29 [size=\"16541696\", alpha=\"0.07\", expect_size=\"8270848\"] \n  29 -> 30 [size =\"8270848\"]\n  30 [size=\"86935552\", alpha=\"0.18\", expect_size=\"43467776\"] \n  30 -> 31 [size =\"43467776\"]\n  31 [size=\"59682816\", alpha=\"0.08\", expect_size=\"29841408\"] \n  31 -> 32 [size =\"29841408\"]\n  32 [size=\"12773376\", alpha=\"0.09\", expect_size=\"6386688\"] \n  32 -> 33 [size =\"6386688\"]\n  33 [size=\"42283008\", alpha=\"0.11\", expect_size=\"21141504\"] \n  33 -> 34 [size =\"21141504\"]\n  34 [size=\"59146240\", alpha=\"0.16\", expect_size=\"29573120\"] \n  34 -> 35 [size =\"29573120\"]\n  35 [size=\"15726592\", alpha=\"0.03\", expect_size=\"7863296\"] \n  35 -> 36 [size =\"7863296\"]\n  36 [size=\"62752768\", alpha=\"0.19\", expect_size=\"31376384\"] \n  36 -> 37 [size =\"31376384\"]\n  37 [size=\"31215616\", alpha=\"0.06\", expect_size=\"15607808\"] \n  37 -> 38 [size =\"15607808\"]\n  38 [size=\"46432256\", alpha=\"0.06\", expect_size=\"23216128\"] \n  38 -> 39 [size =\"23216128\"]\n  39 [size=\"91316224\", alpha=\"0.15\", expect_size=\"45658112\"] \n  39 -> 40 [size =\"45658112\"]\n  40 [size=\"31754240\", alpha=\"0.09\", expect_size=\"15877120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105397760\", alpha=\"0.07\", expect_size=\"42159104\"] \n  1 -> 2 [size =\"42159104\"]\n  2 [size=\"46202880\", alpha=\"0.03\", expect_size=\"18481152\"] \n  2 -> 3 [size =\"18481152\"]\n  3 [size=\"41728000\", alpha=\"0.18\", expect_size=\"16691200\"] \n  3 -> 4 [size =\"16691200\"]\n  4 [size=\"21785600\", alpha=\"0.16\", expect_size=\"8714240\"] \n  4 -> 5 [size =\"8714240\"]\n  5 [size=\"106339840\", alpha=\"0.12\", expect_size=\"42535936\"] \n  5 -> 6 [size =\"42535936\"]\n  6 [size=\"56637440\", alpha=\"0.03\", expect_size=\"22654976\"] \n  6 -> 7 [size =\"22654976\"]\n  7 [size=\"117800960\", alpha=\"0.06\", expect_size=\"47120384\"] \n  7 -> 8 [size =\"47120384\"]\n  8 [size=\"27343360\", alpha=\"0.11\", expect_size=\"10937344\"] \n  8 -> 9 [size =\"10937344\"]\n  9 [size=\"99194880\", alpha=\"0.05\", expect_size=\"39677952\"] \n  9 -> 10 [size =\"39677952\"]\n  10 [size=\"21632000\", alpha=\"0.10\", expect_size=\"8652800\"] \n  10 -> 11 [size =\"8652800\"]\n  11 [size=\"51279360\", alpha=\"0.06\", expect_size=\"20511744\"] \n  11 -> 12 [size =\"20511744\"]\n  12 [size=\"92185600\", alpha=\"0.14\", expect_size=\"36874240\"] \n  12 -> 13 [size =\"36874240\"]\n  13 [size=\"108897280\", alpha=\"0.07\", expect_size=\"43558912\"] \n  13 -> 14 [size =\"43558912\"]\n  14 [size=\"96832000\", alpha=\"0.03\", expect_size=\"38732800\"] \n  14 -> 15 [size =\"38732800\"]\n  15 [size=\"73497600\", alpha=\"0.07\", expect_size=\"29399040\"] \n  15 -> 16 [size =\"29399040\"]\n  16 [size=\"23943680\", alpha=\"0.14\", expect_size=\"9577472\"] \n  16 -> 17 [size =\"9577472\"]\n  17 [size=\"40857600\", alpha=\"0.01\", expect_size=\"16343040\"] \n  17 -> 18 [size =\"16343040\"]\n  18 [size=\"75543040\", alpha=\"0.02\", expect_size=\"30217216\"] \n  18 -> 19 [size =\"30217216\"]\n  19 [size=\"20131840\", alpha=\"0.12\", expect_size=\"8052736\"] \n  19 -> 20 [size =\"8052736\"]\n  20 [size=\"47938560\", alpha=\"0.03\", expect_size=\"19175424\"] \n  20 -> 21 [size =\"19175424\"]\n  21 [size=\"108764160\", alpha=\"0.10\", expect_size=\"43505664\"] \n  21 -> 22 [size =\"43505664\"]\n  22 [size=\"25684480\", alpha=\"0.02\", expect_size=\"10273792\"] \n  22 -> 23 [size =\"10273792\"]\n  23 [size=\"108748800\", alpha=\"0.19\", expect_size=\"43499520\"] \n  23 -> 24 [size =\"43499520\"]\n  24 [size=\"32993280\", alpha=\"0.18\", expect_size=\"13197312\"] \n  24 -> 25 [size =\"13197312\"]\n  25 [size=\"50598400\", alpha=\"0.13\", expect_size=\"20239360\"] \n  25 -> 26 [size =\"20239360\"]\n  26 [size=\"90117120\", alpha=\"0.15\", expect_size=\"36046848\"] \n  26 -> 27 [size =\"36046848\"]\n  27 [size=\"56432640\", alpha=\"0.14\", expect_size=\"22573056\"] \n  27 -> 28 [size =\"22573056\"]\n  28 [size=\"62538240\", alpha=\"0.16\", expect_size=\"25015296\"] \n  28 -> 29 [size =\"25015296\"]\n  29 [size=\"73313280\", alpha=\"0.13\", expect_size=\"29325312\"] \n  29 -> 30 [size =\"29325312\"]\n  30 [size=\"24780800\", alpha=\"0.11\", expect_size=\"9912320\"] \n  30 -> 31 [size =\"9912320\"]\n  31 [size=\"42065920\", alpha=\"0.16\", expect_size=\"16826368\"] \n  31 -> 32 [size =\"16826368\"]\n  32 [size=\"99489280\", alpha=\"0.14\", expect_size=\"39795712\"] \n  32 -> 33 [size =\"39795712\"]\n  33 [size=\"112186880\", alpha=\"0.08\", expect_size=\"44874752\"] \n  33 -> 34 [size =\"44874752\"]\n  34 [size=\"108784640\", alpha=\"0.17\", expect_size=\"43513856\"] \n  34 -> 35 [size =\"43513856\"]\n  35 [size=\"97955840\", alpha=\"0.15\", expect_size=\"39182336\"] \n  35 -> 36 [size =\"39182336\"]\n  36 [size=\"54978560\", alpha=\"0.16\", expect_size=\"21991424\"] \n  36 -> 37 [size =\"21991424\"]\n  37 [size=\"23377920\", alpha=\"0.01\", expect_size=\"9351168\"] \n  37 -> 38 [size =\"9351168\"]\n  38 [size=\"107850240\", alpha=\"0.17\", expect_size=\"43140096\"] \n  38 -> 39 [size =\"43140096\"]\n  39 [size=\"86707200\", alpha=\"0.14\", expect_size=\"34682880\"] \n  39 -> 40 [size =\"34682880\"]\n  40 [size=\"46031360\", alpha=\"0.17\", expect_size=\"18412544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11964416\", alpha=\"0.00\", expect_size=\"5982208\"] \n  1 -> 12 [size =\"5982208\"]\n  1 -> 13 [size =\"5982208\"]\n  2 [size=\"49584128\", alpha=\"0.15\", expect_size=\"24792064\"] \n  2 -> 7 [size =\"24792064\"]\n  2 -> 8 [size =\"24792064\"]\n  2 -> 10 [size =\"24792064\"]\n  2 -> 13 [size =\"24792064\"]\n  3 [size=\"83365888\", alpha=\"0.12\", expect_size=\"41682944\"] \n  3 -> 6 [size =\"41682944\"]\n  3 -> 7 [size =\"41682944\"]\n  3 -> 8 [size =\"41682944\"]\n  3 -> 9 [size =\"41682944\"]\n  3 -> 11 [size =\"41682944\"]\n  4 [size=\"36687872\", alpha=\"0.19\", expect_size=\"18343936\"] \n  4 -> 11 [size =\"18343936\"]\n  5 [size=\"61534208\", alpha=\"0.06\", expect_size=\"30767104\"] \n  5 -> 6 [size =\"30767104\"]\n  6 [size=\"58628096\", alpha=\"0.03\", expect_size=\"29314048\"] \n  6 -> 14 [size =\"29314048\"]\n  6 -> 17 [size =\"29314048\"]\n  7 [size=\"54958080\", alpha=\"0.13\", expect_size=\"27479040\"] \n  7 -> 19 [size =\"27479040\"]\n  7 -> 20 [size =\"27479040\"]\n  8 [size=\"35432448\", alpha=\"0.02\", expect_size=\"17716224\"] \n  8 -> 16 [size =\"17716224\"]\n  8 -> 17 [size =\"17716224\"]\n  8 -> 19 [size =\"17716224\"]\n  8 -> 21 [size =\"17716224\"]\n  9 [size=\"26845184\", alpha=\"0.10\", expect_size=\"13422592\"] \n  9 -> 18 [size =\"13422592\"]\n  10 [size=\"58365952\", alpha=\"0.16\", expect_size=\"29182976\"] \n  10 -> 14 [size =\"29182976\"]\n  10 -> 15 [size =\"29182976\"]\n  10 -> 17 [size =\"29182976\"]\n  10 -> 18 [size =\"29182976\"]\n  10 -> 19 [size =\"29182976\"]\n  11 [size=\"73523200\", alpha=\"0.04\", expect_size=\"36761600\"] \n  11 -> 14 [size =\"36761600\"]\n  11 -> 15 [size =\"36761600\"]\n  11 -> 18 [size =\"36761600\"]\n  11 -> 19 [size =\"36761600\"]\n  12 [size=\"74889216\", alpha=\"0.10\", expect_size=\"37444608\"] \n  12 -> 14 [size =\"37444608\"]\n  13 [size=\"49057792\", alpha=\"0.17\", expect_size=\"24528896\"] \n  14 [size=\"11483136\", alpha=\"0.11\", expect_size=\"5741568\"] \n  14 -> 22 [size =\"5741568\"]\n  14 -> 25 [size =\"5741568\"]\n  15 [size=\"101470208\", alpha=\"0.08\", expect_size=\"50735104\"] \n  15 -> 23 [size =\"50735104\"]\n  16 [size=\"34514944\", alpha=\"0.18\", expect_size=\"17257472\"] \n  16 -> 24 [size =\"17257472\"]\n  17 [size=\"47828992\", alpha=\"0.06\", expect_size=\"23914496\"] \n  17 -> 22 [size =\"23914496\"]\n  17 -> 23 [size =\"23914496\"]\n  17 -> 24 [size =\"23914496\"]\n  18 [size=\"12859392\", alpha=\"0.15\", expect_size=\"6429696\"] \n  18 -> 22 [size =\"6429696\"]\n  18 -> 25 [size =\"6429696\"]\n  19 [size=\"21164032\", alpha=\"0.04\", expect_size=\"10582016\"] \n  19 -> 22 [size =\"10582016\"]\n  19 -> 26 [size =\"10582016\"]\n  20 [size=\"66498560\", alpha=\"0.16\", expect_size=\"33249280\"] \n  21 [size=\"47777792\", alpha=\"0.08\", expect_size=\"23888896\"] \n  21 -> 24 [size =\"23888896\"]\n  22 [size=\"65529856\", alpha=\"0.09\", expect_size=\"32764928\"] \n  22 -> 27 [size =\"32764928\"]\n  23 [size=\"16787456\", alpha=\"0.05\", expect_size=\"8393728\"] \n  23 -> 30 [size =\"8393728\"]\n  24 [size=\"97796096\", alpha=\"0.06\", expect_size=\"48898048\"] \n  24 -> 29 [size =\"48898048\"]\n  24 -> 30 [size =\"48898048\"]\n  25 [size=\"57044992\", alpha=\"0.19\", expect_size=\"28522496\"] \n  25 -> 27 [size =\"28522496\"]\n  25 -> 29 [size =\"28522496\"]\n  26 [size=\"93323264\", alpha=\"0.01\", expect_size=\"46661632\"] \n  26 -> 28 [size =\"46661632\"]\n  26 -> 30 [size =\"46661632\"]\n  26 -> 31 [size =\"46661632\"]\n  27 [size=\"84983808\", alpha=\"0.13\", expect_size=\"42491904\"] \n  27 -> 32 [size =\"42491904\"]\n  27 -> 34 [size =\"42491904\"]\n  28 [size=\"19720192\", alpha=\"0.11\", expect_size=\"9860096\"] \n  28 -> 34 [size =\"9860096\"]\n  29 [size=\"91310080\", alpha=\"0.12\", expect_size=\"45655040\"] \n  29 -> 33 [size =\"45655040\"]\n  29 -> 35 [size =\"45655040\"]\n  30 [size=\"14583808\", alpha=\"0.02\", expect_size=\"7291904\"] \n  30 -> 32 [size =\"7291904\"]\n  31 [size=\"88848384\", alpha=\"0.07\", expect_size=\"44424192\"] \n  31 -> 32 [size =\"44424192\"]\n  31 -> 34 [size =\"44424192\"]\n  32 [size=\"32466944\", alpha=\"0.05\", expect_size=\"16233472\"] \n  32 -> 36 [size =\"16233472\"]\n  32 -> 38 [size =\"16233472\"]\n  33 [size=\"73281536\", alpha=\"0.11\", expect_size=\"36640768\"] \n  34 [size=\"95432704\", alpha=\"0.17\", expect_size=\"47716352\"] \n  34 -> 37 [size =\"47716352\"]\n  35 [size=\"30748672\", alpha=\"0.03\", expect_size=\"15374336\"] \n  35 -> 37 [size =\"15374336\"]\n  35 -> 39 [size =\"15374336\"]\n  36 [size=\"24651776\", alpha=\"0.14\", expect_size=\"12325888\"] \n  37 [size=\"30912512\", alpha=\"0.12\", expect_size=\"15456256\"] \n  38 [size=\"94007296\", alpha=\"0.11\", expect_size=\"47003648\"] \n  38 -> 40 [size =\"47003648\"]\n  39 [size=\"50135040\", alpha=\"0.13\", expect_size=\"25067520\"] \n  40 [size=\"104404992\", alpha=\"0.06\", expect_size=\"52202496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26772480\", alpha=\"0.15\", expect_size=\"10708992\"] \n  1 -> 11 [size =\"10708992\"]\n  1 -> 12 [size =\"10708992\"]\n  1 -> 14 [size =\"10708992\"]\n  1 -> 15 [size =\"10708992\"]\n  1 -> 16 [size =\"10708992\"]\n  2 [size=\"28405760\", alpha=\"0.01\", expect_size=\"11362304\"] \n  2 -> 10 [size =\"11362304\"]\n  2 -> 12 [size =\"11362304\"]\n  2 -> 13 [size =\"11362304\"]\n  2 -> 16 [size =\"11362304\"]\n  3 [size=\"41607680\", alpha=\"0.07\", expect_size=\"16643072\"] \n  3 -> 9 [size =\"16643072\"]\n  3 -> 10 [size =\"16643072\"]\n  3 -> 11 [size =\"16643072\"]\n  3 -> 15 [size =\"16643072\"]\n  3 -> 16 [size =\"16643072\"]\n  3 -> 17 [size =\"16643072\"]\n  4 [size=\"43722240\", alpha=\"0.09\", expect_size=\"17488896\"] \n  4 -> 9 [size =\"17488896\"]\n  4 -> 13 [size =\"17488896\"]\n  4 -> 16 [size =\"17488896\"]\n  5 [size=\"108756480\", alpha=\"0.16\", expect_size=\"43502592\"] \n  5 -> 9 [size =\"43502592\"]\n  5 -> 10 [size =\"43502592\"]\n  5 -> 12 [size =\"43502592\"]\n  5 -> 13 [size =\"43502592\"]\n  5 -> 16 [size =\"43502592\"]\n  6 [size=\"35640320\", alpha=\"0.14\", expect_size=\"14256128\"] \n  6 -> 10 [size =\"14256128\"]\n  6 -> 15 [size =\"14256128\"]\n  6 -> 16 [size =\"14256128\"]\n  7 [size=\"102592000\", alpha=\"0.02\", expect_size=\"41036800\"] \n  7 -> 10 [size =\"41036800\"]\n  7 -> 11 [size =\"41036800\"]\n  7 -> 13 [size =\"41036800\"]\n  7 -> 14 [size =\"41036800\"]\n  7 -> 16 [size =\"41036800\"]\n  7 -> 17 [size =\"41036800\"]\n  8 [size=\"119034880\", alpha=\"0.16\", expect_size=\"47613952\"] \n  8 -> 9 [size =\"47613952\"]\n  8 -> 12 [size =\"47613952\"]\n  8 -> 14 [size =\"47613952\"]\n  8 -> 14 [size =\"47613952\"]\n  8 -> 16 [size =\"47613952\"]\n  9 [size=\"60339200\", alpha=\"0.00\", expect_size=\"24135680\"] \n  9 -> 18 [size =\"24135680\"]\n  9 -> 22 [size =\"24135680\"]\n  9 -> 23 [size =\"24135680\"]\n  10 [size=\"88245760\", alpha=\"0.11\", expect_size=\"35298304\"] \n  10 -> 18 [size =\"35298304\"]\n  10 -> 21 [size =\"35298304\"]\n  11 [size=\"112284160\", alpha=\"0.02\", expect_size=\"44913664\"] \n  11 -> 19 [size =\"44913664\"]\n  11 -> 24 [size =\"44913664\"]\n  12 [size=\"83118080\", alpha=\"0.13\", expect_size=\"33247232\"] \n  12 -> 19 [size =\"33247232\"]\n  12 -> 21 [size =\"33247232\"]\n  12 -> 23 [size =\"33247232\"]\n  13 [size=\"87367680\", alpha=\"0.05\", expect_size=\"34947072\"] \n  13 -> 18 [size =\"34947072\"]\n  13 -> 21 [size =\"34947072\"]\n  13 -> 22 [size =\"34947072\"]\n  13 -> 23 [size =\"34947072\"]\n  13 -> 24 [size =\"34947072\"]\n  14 [size=\"126650880\", alpha=\"0.11\", expect_size=\"50660352\"] \n  14 -> 18 [size =\"50660352\"]\n  14 -> 20 [size =\"50660352\"]\n  14 -> 21 [size =\"50660352\"]\n  14 -> 22 [size =\"50660352\"]\n  15 [size=\"64020480\", alpha=\"0.03\", expect_size=\"25608192\"] \n  15 -> 22 [size =\"25608192\"]\n  15 -> 23 [size =\"25608192\"]\n  16 [size=\"38328320\", alpha=\"0.02\", expect_size=\"15331328\"] \n  16 -> 18 [size =\"15331328\"]\n  16 -> 19 [size =\"15331328\"]\n  16 -> 23 [size =\"15331328\"]\n  17 [size=\"121182720\", alpha=\"0.02\", expect_size=\"48473088\"] \n  17 -> 19 [size =\"48473088\"]\n  17 -> 21 [size =\"48473088\"]\n  17 -> 22 [size =\"48473088\"]\n  17 -> 24 [size =\"48473088\"]\n  18 [size=\"15892480\", alpha=\"0.18\", expect_size=\"6356992\"] \n  18 -> 25 [size =\"6356992\"]\n  18 -> 26 [size =\"6356992\"]\n  18 -> 30 [size =\"6356992\"]\n  18 -> 31 [size =\"6356992\"]\n  18 -> 33 [size =\"6356992\"]\n  18 -> 36 [size =\"6356992\"]\n  19 [size=\"113105920\", alpha=\"0.01\", expect_size=\"45242368\"] \n  19 -> 25 [size =\"45242368\"]\n  19 -> 27 [size =\"45242368\"]\n  19 -> 28 [size =\"45242368\"]\n  19 -> 30 [size =\"45242368\"]\n  19 -> 32 [size =\"45242368\"]\n  19 -> 33 [size =\"45242368\"]\n  19 -> 35 [size =\"45242368\"]\n  20 [size=\"113295360\", alpha=\"0.07\", expect_size=\"45318144\"] \n  20 -> 25 [size =\"45318144\"]\n  20 -> 26 [size =\"45318144\"]\n  20 -> 27 [size =\"45318144\"]\n  20 -> 30 [size =\"45318144\"]\n  20 -> 32 [size =\"45318144\"]\n  20 -> 33 [size =\"45318144\"]\n  20 -> 35 [size =\"45318144\"]\n  20 -> 37 [size =\"45318144\"]\n  21 [size=\"58667520\", alpha=\"0.15\", expect_size=\"23467008\"] \n  21 -> 26 [size =\"23467008\"]\n  21 -> 26 [size =\"23467008\"]\n  21 -> 27 [size =\"23467008\"]\n  21 -> 32 [size =\"23467008\"]\n  21 -> 32 [size =\"23467008\"]\n  21 -> 33 [size =\"23467008\"]\n  21 -> 34 [size =\"23467008\"]\n  21 -> 35 [size =\"23467008\"]\n  21 -> 37 [size =\"23467008\"]\n  22 [size=\"68513280\", alpha=\"0.06\", expect_size=\"27405312\"] \n  22 -> 26 [size =\"27405312\"]\n  22 -> 27 [size =\"27405312\"]\n  22 -> 29 [size =\"27405312\"]\n  22 -> 31 [size =\"27405312\"]\n  22 -> 32 [size =\"27405312\"]\n  22 -> 33 [size =\"27405312\"]\n  22 -> 34 [size =\"27405312\"]\n  22 -> 35 [size =\"27405312\"]\n  22 -> 36 [size =\"27405312\"]\n  23 [size=\"26432000\", alpha=\"0.01\", expect_size=\"10572800\"] \n  23 -> 25 [size =\"10572800\"]\n  23 -> 26 [size =\"10572800\"]\n  23 -> 28 [size =\"10572800\"]\n  23 -> 30 [size =\"10572800\"]\n  23 -> 31 [size =\"10572800\"]\n  23 -> 32 [size =\"10572800\"]\n  23 -> 33 [size =\"10572800\"]\n  23 -> 35 [size =\"10572800\"]\n  24 [size=\"55459840\", alpha=\"0.02\", expect_size=\"22183936\"] \n  24 -> 25 [size =\"22183936\"]\n  24 -> 26 [size =\"22183936\"]\n  24 -> 27 [size =\"22183936\"]\n  24 -> 30 [size =\"22183936\"]\n  24 -> 31 [size =\"22183936\"]\n  24 -> 33 [size =\"22183936\"]\n  25 [size=\"119872000\", alpha=\"0.18\", expect_size=\"47948800\"] \n  25 -> 38 [size =\"47948800\"]\n  25 -> 40 [size =\"47948800\"]\n  26 [size=\"19509760\", alpha=\"0.19\", expect_size=\"7803904\"] \n  26 -> 38 [size =\"7803904\"]\n  27 [size=\"29217280\", alpha=\"0.15\", expect_size=\"11686912\"] \n  27 -> 38 [size =\"11686912\"]\n  27 -> 39 [size =\"11686912\"]\n  27 -> 40 [size =\"11686912\"]\n  28 [size=\"38494720\", alpha=\"0.09\", expect_size=\"15397888\"] \n  28 -> 38 [size =\"15397888\"]\n  28 -> 39 [size =\"15397888\"]\n  29 [size=\"24133120\", alpha=\"0.10\", expect_size=\"9653248\"] \n  30 [size=\"32896000\", alpha=\"0.05\", expect_size=\"13158400\"] \n  30 -> 38 [size =\"13158400\"]\n  31 [size=\"74910720\", alpha=\"0.16\", expect_size=\"29964288\"] \n  31 -> 38 [size =\"29964288\"]\n  31 -> 40 [size =\"29964288\"]\n  32 [size=\"45882880\", alpha=\"0.19\", expect_size=\"18353152\"] \n  32 -> 38 [size =\"18353152\"]\n  32 -> 39 [size =\"18353152\"]\n  33 [size=\"79078400\", alpha=\"0.15\", expect_size=\"31631360\"] \n  33 -> 38 [size =\"31631360\"]\n  34 [size=\"85032960\", alpha=\"0.10\", expect_size=\"34013184\"] \n  34 -> 38 [size =\"34013184\"]\n  34 -> 39 [size =\"34013184\"]\n  35 [size=\"94364160\", alpha=\"0.14\", expect_size=\"37745664\"] \n  35 -> 38 [size =\"37745664\"]\n  36 [size=\"84756480\", alpha=\"0.02\", expect_size=\"33902592\"] \n  36 -> 38 [size =\"33902592\"]\n  37 [size=\"78745600\", alpha=\"0.08\", expect_size=\"31498240\"] \n  37 -> 38 [size =\"31498240\"]\n  37 -> 40 [size =\"31498240\"]\n  38 [size=\"47854080\", alpha=\"0.15\", expect_size=\"19141632\"] \n  39 [size=\"98009600\", alpha=\"0.18\", expect_size=\"39203840\"] \n  40 [size=\"40517120\", alpha=\"0.19\", expect_size=\"16206848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55821653\", alpha=\"0.01\", expect_size=\"16746496\"] \n  1 -> 7 [size =\"16746496\"]\n  1 -> 8 [size =\"16746496\"]\n  2 [size=\"106987520\", alpha=\"0.09\", expect_size=\"32096256\"] \n  2 -> 6 [size =\"32096256\"]\n  2 -> 7 [size =\"32096256\"]\n  3 [size=\"56337067\", alpha=\"0.17\", expect_size=\"16901120\"] \n  3 -> 10 [size =\"16901120\"]\n  4 [size=\"150289067\", alpha=\"0.02\", expect_size=\"45086720\"] \n  4 -> 6 [size =\"45086720\"]\n  4 -> 9 [size =\"45086720\"]\n  5 [size=\"71195307\", alpha=\"0.02\", expect_size=\"21358592\"] \n  5 -> 8 [size =\"21358592\"]\n  5 -> 9 [size =\"21358592\"]\n  6 [size=\"18647040\", alpha=\"0.01\", expect_size=\"5594112\"] \n  6 -> 13 [size =\"5594112\"]\n  6 -> 14 [size =\"5594112\"]\n  6 -> 15 [size =\"5594112\"]\n  7 [size=\"147244373\", alpha=\"0.00\", expect_size=\"44173312\"] \n  7 -> 11 [size =\"44173312\"]\n  7 -> 12 [size =\"44173312\"]\n  7 -> 14 [size =\"44173312\"]\n  8 [size=\"101867520\", alpha=\"0.08\", expect_size=\"30560256\"] \n  8 -> 12 [size =\"30560256\"]\n  8 -> 14 [size =\"30560256\"]\n  9 [size=\"111892480\", alpha=\"0.12\", expect_size=\"33567744\"] \n  9 -> 11 [size =\"33567744\"]\n  10 [size=\"123357867\", alpha=\"0.17\", expect_size=\"37007360\"] \n  10 -> 11 [size =\"37007360\"]\n  10 -> 13 [size =\"37007360\"]\n  11 [size=\"20169387\", alpha=\"0.02\", expect_size=\"6050816\"] \n  11 -> 19 [size =\"6050816\"]\n  12 [size=\"28996267\", alpha=\"0.20\", expect_size=\"8698880\"] \n  12 -> 18 [size =\"8698880\"]\n  12 -> 20 [size =\"8698880\"]\n  13 [size=\"97860267\", alpha=\"0.04\", expect_size=\"29358080\"] \n  13 -> 16 [size =\"29358080\"]\n  13 -> 17 [size =\"29358080\"]\n  14 [size=\"71693653\", alpha=\"0.14\", expect_size=\"21508096\"] \n  14 -> 16 [size =\"21508096\"]\n  14 -> 17 [size =\"21508096\"]\n  14 -> 19 [size =\"21508096\"]\n  15 [size=\"88586240\", alpha=\"0.15\", expect_size=\"26575872\"] \n  15 -> 19 [size =\"26575872\"]\n  15 -> 20 [size =\"26575872\"]\n  16 [size=\"105837227\", alpha=\"0.14\", expect_size=\"31751168\"] \n  16 -> 21 [size =\"31751168\"]\n  16 -> 24 [size =\"31751168\"]\n  17 [size=\"116534613\", alpha=\"0.18\", expect_size=\"34960384\"] \n  18 [size=\"118336853\", alpha=\"0.07\", expect_size=\"35501056\"] \n  18 -> 23 [size =\"35501056\"]\n  19 [size=\"24941227\", alpha=\"0.20\", expect_size=\"7482368\"] \n  19 -> 22 [size =\"7482368\"]\n  19 -> 24 [size =\"7482368\"]\n  19 -> 25 [size =\"7482368\"]\n  20 [size=\"116534613\", alpha=\"0.13\", expect_size=\"34960384\"] \n  21 [size=\"93235200\", alpha=\"0.12\", expect_size=\"27970560\"] \n  21 -> 29 [size =\"27970560\"]\n  21 -> 30 [size =\"27970560\"]\n  22 [size=\"106175147\", alpha=\"0.02\", expect_size=\"31852544\"] \n  22 -> 26 [size =\"31852544\"]\n  22 -> 28 [size =\"31852544\"]\n  22 -> 29 [size =\"31852544\"]\n  23 [size=\"104516267\", alpha=\"0.17\", expect_size=\"31354880\"] \n  23 -> 27 [size =\"31354880\"]\n  23 -> 28 [size =\"31354880\"]\n  24 [size=\"137704107\", alpha=\"0.09\", expect_size=\"41311232\"] \n  24 -> 29 [size =\"41311232\"]\n  25 [size=\"91129173\", alpha=\"0.08\", expect_size=\"27338752\"] \n  25 -> 30 [size =\"27338752\"]\n  26 [size=\"51759787\", alpha=\"0.07\", expect_size=\"15527936\"] \n  26 -> 33 [size =\"15527936\"]\n  26 -> 34 [size =\"15527936\"]\n  27 [size=\"163560107\", alpha=\"0.02\", expect_size=\"49068032\"] \n  27 -> 31 [size =\"49068032\"]\n  27 -> 34 [size =\"49068032\"]\n  27 -> 35 [size =\"49068032\"]\n  28 [size=\"149176320\", alpha=\"0.08\", expect_size=\"44752896\"] \n  28 -> 35 [size =\"44752896\"]\n  29 [size=\"46250667\", alpha=\"0.06\", expect_size=\"13875200\"] \n  29 -> 33 [size =\"13875200\"]\n  30 [size=\"42478933\", alpha=\"0.18\", expect_size=\"12743680\"] \n  30 -> 32 [size =\"12743680\"]\n  30 -> 33 [size =\"12743680\"]\n  31 [size=\"147322880\", alpha=\"0.10\", expect_size=\"44196864\"] \n  31 -> 39 [size =\"44196864\"]\n  32 [size=\"84558507\", alpha=\"0.03\", expect_size=\"25367552\"] \n  32 -> 40 [size =\"25367552\"]\n  33 [size=\"100980053\", alpha=\"0.07\", expect_size=\"30294016\"] \n  33 -> 37 [size =\"30294016\"]\n  33 -> 38 [size =\"30294016\"]\n  33 -> 39 [size =\"30294016\"]\n  34 [size=\"78165333\", alpha=\"0.17\", expect_size=\"23449600\"] \n  34 -> 36 [size =\"23449600\"]\n  34 -> 38 [size =\"23449600\"]\n  35 [size=\"148930560\", alpha=\"0.17\", expect_size=\"44679168\"] \n  36 [size=\"52418560\", alpha=\"0.08\", expect_size=\"15725568\"] \n  37 [size=\"104379733\", alpha=\"0.11\", expect_size=\"31313920\"] \n  38 [size=\"120009387\", alpha=\"0.07\", expect_size=\"36002816\"] \n  39 [size=\"26415787\", alpha=\"0.04\", expect_size=\"7924736\"] \n  40 [size=\"75301547\", alpha=\"0.14\", expect_size=\"22590464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73699328\", alpha=\"0.16\", expect_size=\"36849664\"] \n  1 -> 2 [size =\"36849664\"]\n  2 [size=\"50427904\", alpha=\"0.16\", expect_size=\"25213952\"] \n  2 -> 3 [size =\"25213952\"]\n  3 [size=\"11020288\", alpha=\"0.13\", expect_size=\"5510144\"] \n  3 -> 4 [size =\"5510144\"]\n  4 [size=\"96688128\", alpha=\"0.01\", expect_size=\"48344064\"] \n  4 -> 5 [size =\"48344064\"]\n  5 [size=\"66664448\", alpha=\"0.18\", expect_size=\"33332224\"] \n  5 -> 6 [size =\"33332224\"]\n  6 [size=\"78909440\", alpha=\"0.12\", expect_size=\"39454720\"] \n  6 -> 7 [size =\"39454720\"]\n  7 [size=\"33630208\", alpha=\"0.08\", expect_size=\"16815104\"] \n  7 -> 8 [size =\"16815104\"]\n  8 [size=\"29466624\", alpha=\"0.05\", expect_size=\"14733312\"] \n  8 -> 9 [size =\"14733312\"]\n  9 [size=\"15626240\", alpha=\"0.09\", expect_size=\"7813120\"] \n  9 -> 10 [size =\"7813120\"]\n  10 [size=\"100429824\", alpha=\"0.18\", expect_size=\"50214912\"] \n  10 -> 11 [size =\"50214912\"]\n  11 [size=\"76599296\", alpha=\"0.02\", expect_size=\"38299648\"] \n  11 -> 12 [size =\"38299648\"]\n  12 [size=\"57942016\", alpha=\"0.10\", expect_size=\"28971008\"] \n  12 -> 13 [size =\"28971008\"]\n  13 [size=\"41254912\", alpha=\"0.00\", expect_size=\"20627456\"] \n  13 -> 14 [size =\"20627456\"]\n  14 [size=\"104368128\", alpha=\"0.03\", expect_size=\"52184064\"] \n  14 -> 15 [size =\"52184064\"]\n  15 [size=\"13205504\", alpha=\"0.19\", expect_size=\"6602752\"] \n  15 -> 16 [size =\"6602752\"]\n  16 [size=\"98578432\", alpha=\"0.00\", expect_size=\"49289216\"] \n  16 -> 17 [size =\"49289216\"]\n  17 [size=\"58560512\", alpha=\"0.09\", expect_size=\"29280256\"] \n  17 -> 18 [size =\"29280256\"]\n  18 [size=\"97902592\", alpha=\"0.08\", expect_size=\"48951296\"] \n  18 -> 19 [size =\"48951296\"]\n  19 [size=\"29319168\", alpha=\"0.04\", expect_size=\"14659584\"] \n  19 -> 20 [size =\"14659584\"]\n  20 [size=\"70952960\", alpha=\"0.16\", expect_size=\"35476480\"] \n  20 -> 21 [size =\"35476480\"]\n  21 [size=\"63121408\", alpha=\"0.02\", expect_size=\"31560704\"] \n  21 -> 22 [size =\"31560704\"]\n  22 [size=\"74543104\", alpha=\"0.17\", expect_size=\"37271552\"] \n  22 -> 23 [size =\"37271552\"]\n  23 [size=\"26894336\", alpha=\"0.11\", expect_size=\"13447168\"] \n  23 -> 24 [size =\"13447168\"]\n  24 [size=\"28676096\", alpha=\"0.04\", expect_size=\"14338048\"] \n  24 -> 25 [size =\"14338048\"]\n  25 [size=\"41494528\", alpha=\"0.09\", expect_size=\"20747264\"] \n  25 -> 26 [size =\"20747264\"]\n  26 [size=\"36976640\", alpha=\"0.08\", expect_size=\"18488320\"] \n  26 -> 27 [size =\"18488320\"]\n  27 [size=\"39047168\", alpha=\"0.12\", expect_size=\"19523584\"] \n  27 -> 28 [size =\"19523584\"]\n  28 [size=\"80107520\", alpha=\"0.20\", expect_size=\"40053760\"] \n  28 -> 29 [size =\"40053760\"]\n  29 [size=\"23246848\", alpha=\"0.09\", expect_size=\"11623424\"] \n  29 -> 30 [size =\"11623424\"]\n  30 [size=\"41814016\", alpha=\"0.17\", expect_size=\"20907008\"] \n  30 -> 31 [size =\"20907008\"]\n  31 [size=\"24991744\", alpha=\"0.19\", expect_size=\"12495872\"] \n  31 -> 32 [size =\"12495872\"]\n  32 [size=\"35995648\", alpha=\"0.12\", expect_size=\"17997824\"] \n  32 -> 33 [size =\"17997824\"]\n  33 [size=\"20396032\", alpha=\"0.11\", expect_size=\"10198016\"] \n  33 -> 34 [size =\"10198016\"]\n  34 [size=\"73101312\", alpha=\"0.09\", expect_size=\"36550656\"] \n  34 -> 35 [size =\"36550656\"]\n  35 [size=\"91568128\", alpha=\"0.09\", expect_size=\"45784064\"] \n  35 -> 36 [size =\"45784064\"]\n  36 [size=\"37609472\", alpha=\"0.07\", expect_size=\"18804736\"] \n  36 -> 37 [size =\"18804736\"]\n  37 [size=\"74016768\", alpha=\"0.15\", expect_size=\"37008384\"] \n  37 -> 38 [size =\"37008384\"]\n  38 [size=\"35192832\", alpha=\"0.01\", expect_size=\"17596416\"] \n  38 -> 39 [size =\"17596416\"]\n  39 [size=\"34490368\", alpha=\"0.12\", expect_size=\"17245184\"] \n  39 -> 40 [size =\"17245184\"]\n  40 [size=\"77053952\", alpha=\"0.16\", expect_size=\"38526976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171001173\", alpha=\"0.13\", expect_size=\"51300352\"] \n  1 -> 2 [size =\"51300352\"]\n  2 [size=\"124132693\", alpha=\"0.18\", expect_size=\"37239808\"] \n  2 -> 3 [size =\"37239808\"]\n  3 [size=\"66150400\", alpha=\"0.05\", expect_size=\"19845120\"] \n  3 -> 4 [size =\"19845120\"]\n  4 [size=\"45370027\", alpha=\"0.14\", expect_size=\"13611008\"] \n  4 -> 5 [size =\"13611008\"]\n  5 [size=\"146100907\", alpha=\"0.19\", expect_size=\"43830272\"] \n  5 -> 6 [size =\"43830272\"]\n  6 [size=\"52278613\", alpha=\"0.03\", expect_size=\"15683584\"] \n  6 -> 7 [size =\"15683584\"]\n  7 [size=\"63020373\", alpha=\"0.06\", expect_size=\"18906112\"] \n  7 -> 8 [size =\"18906112\"]\n  8 [size=\"164348587\", alpha=\"0.07\", expect_size=\"49304576\"] \n  8 -> 9 [size =\"49304576\"]\n  9 [size=\"154507947\", alpha=\"0.16\", expect_size=\"46352384\"] \n  9 -> 10 [size =\"46352384\"]\n  10 [size=\"65273173\", alpha=\"0.03\", expect_size=\"19581952\"] \n  10 -> 11 [size =\"19581952\"]\n  11 [size=\"109250560\", alpha=\"0.12\", expect_size=\"32775168\"] \n  11 -> 12 [size =\"32775168\"]\n  12 [size=\"56255147\", alpha=\"0.12\", expect_size=\"16876544\"] \n  12 -> 13 [size =\"16876544\"]\n  13 [size=\"37707093\", alpha=\"0.06\", expect_size=\"11312128\"] \n  13 -> 14 [size =\"11312128\"]\n  14 [size=\"75704320\", alpha=\"0.17\", expect_size=\"22711296\"] \n  14 -> 15 [size =\"22711296\"]\n  15 [size=\"30388907\", alpha=\"0.09\", expect_size=\"9116672\"] \n  15 -> 16 [size =\"9116672\"]\n  16 [size=\"21360640\", alpha=\"0.01\", expect_size=\"6408192\"] \n  16 -> 17 [size =\"6408192\"]\n  17 [size=\"47264427\", alpha=\"0.17\", expect_size=\"14179328\"] \n  17 -> 18 [size =\"14179328\"]\n  18 [size=\"94815573\", alpha=\"0.18\", expect_size=\"28444672\"] \n  18 -> 19 [size =\"28444672\"]\n  19 [size=\"145933653\", alpha=\"0.11\", expect_size=\"43780096\"] \n  19 -> 20 [size =\"43780096\"]\n  20 [size=\"111807147\", alpha=\"0.16\", expect_size=\"33542144\"] \n  20 -> 21 [size =\"33542144\"]\n  21 [size=\"138298027\", alpha=\"0.00\", expect_size=\"41489408\"] \n  21 -> 22 [size =\"41489408\"]\n  22 [size=\"78725120\", alpha=\"0.18\", expect_size=\"23617536\"] \n  22 -> 23 [size =\"23617536\"]\n  23 [size=\"174107307\", alpha=\"0.02\", expect_size=\"52232192\"] \n  23 -> 24 [size =\"52232192\"]\n  24 [size=\"60552533\", alpha=\"0.10\", expect_size=\"18165760\"] \n  24 -> 25 [size =\"18165760\"]\n  25 [size=\"39864320\", alpha=\"0.14\", expect_size=\"11959296\"] \n  25 -> 26 [size =\"11959296\"]\n  26 [size=\"112203093\", alpha=\"0.03\", expect_size=\"33660928\"] \n  26 -> 27 [size =\"33660928\"]\n  27 [size=\"121828693\", alpha=\"0.17\", expect_size=\"36548608\"] \n  27 -> 28 [size =\"36548608\"]\n  28 [size=\"96535893\", alpha=\"0.10\", expect_size=\"28960768\"] \n  28 -> 29 [size =\"28960768\"]\n  29 [size=\"81083733\", alpha=\"0.00\", expect_size=\"24325120\"] \n  29 -> 30 [size =\"24325120\"]\n  30 [size=\"169301333\", alpha=\"0.16\", expect_size=\"50790400\"] \n  30 -> 31 [size =\"50790400\"]\n  31 [size=\"138274133\", alpha=\"0.05\", expect_size=\"41482240\"] \n  31 -> 32 [size =\"41482240\"]\n  32 [size=\"141537280\", alpha=\"0.18\", expect_size=\"42461184\"] \n  32 -> 33 [size =\"42461184\"]\n  33 [size=\"128453973\", alpha=\"0.13\", expect_size=\"38536192\"] \n  33 -> 34 [size =\"38536192\"]\n  34 [size=\"147701760\", alpha=\"0.16\", expect_size=\"44310528\"] \n  34 -> 35 [size =\"44310528\"]\n  35 [size=\"69888000\", alpha=\"0.01\", expect_size=\"20966400\"] \n  35 -> 36 [size =\"20966400\"]\n  36 [size=\"23644160\", alpha=\"0.06\", expect_size=\"7093248\"] \n  36 -> 37 [size =\"7093248\"]\n  37 [size=\"43769173\", alpha=\"0.15\", expect_size=\"13130752\"] \n  37 -> 38 [size =\"13130752\"]\n  38 [size=\"18527573\", alpha=\"0.14\", expect_size=\"5558272\"] \n  38 -> 39 [size =\"5558272\"]\n  39 [size=\"94788267\", alpha=\"0.09\", expect_size=\"28436480\"] \n  39 -> 40 [size =\"28436480\"]\n  40 [size=\"95016960\", alpha=\"0.16\", expect_size=\"28505088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74531840\", alpha=\"0.01\", expect_size=\"29812736\"] \n  1 -> 9 [size =\"29812736\"]\n  1 -> 10 [size =\"29812736\"]\n  2 [size=\"82744320\", alpha=\"0.10\", expect_size=\"33097728\"] \n  2 -> 8 [size =\"33097728\"]\n  2 -> 10 [size =\"33097728\"]\n  3 [size=\"88709120\", alpha=\"0.11\", expect_size=\"35483648\"] \n  3 -> 9 [size =\"35483648\"]\n  3 -> 11 [size =\"35483648\"]\n  4 [size=\"78658560\", alpha=\"0.05\", expect_size=\"31463424\"] \n  4 -> 10 [size =\"31463424\"]\n  4 -> 11 [size =\"31463424\"]\n  5 [size=\"101580800\", alpha=\"0.05\", expect_size=\"40632320\"] \n  5 -> 9 [size =\"40632320\"]\n  6 [size=\"121139200\", alpha=\"0.17\", expect_size=\"48455680\"] \n  6 -> 9 [size =\"48455680\"]\n  7 [size=\"69688320\", alpha=\"0.19\", expect_size=\"27875328\"] \n  7 -> 10 [size =\"27875328\"]\n  8 [size=\"116375040\", alpha=\"0.18\", expect_size=\"46550016\"] \n  8 -> 12 [size =\"46550016\"]\n  8 -> 14 [size =\"46550016\"]\n  8 -> 15 [size =\"46550016\"]\n  8 -> 16 [size =\"46550016\"]\n  8 -> 17 [size =\"46550016\"]\n  9 [size=\"96020480\", alpha=\"0.16\", expect_size=\"38408192\"] \n  9 -> 12 [size =\"38408192\"]\n  9 -> 13 [size =\"38408192\"]\n  9 -> 14 [size =\"38408192\"]\n  9 -> 15 [size =\"38408192\"]\n  9 -> 16 [size =\"38408192\"]\n  9 -> 17 [size =\"38408192\"]\n  10 [size=\"90780160\", alpha=\"0.15\", expect_size=\"36312064\"] \n  10 -> 12 [size =\"36312064\"]\n  10 -> 15 [size =\"36312064\"]\n  10 -> 17 [size =\"36312064\"]\n  10 -> 18 [size =\"36312064\"]\n  11 [size=\"115827200\", alpha=\"0.04\", expect_size=\"46330880\"] \n  11 -> 14 [size =\"46330880\"]\n  11 -> 15 [size =\"46330880\"]\n  11 -> 17 [size =\"46330880\"]\n  12 [size=\"123781120\", alpha=\"0.08\", expect_size=\"49512448\"] \n  12 -> 19 [size =\"49512448\"]\n  12 -> 20 [size =\"49512448\"]\n  12 -> 21 [size =\"49512448\"]\n  12 -> 23 [size =\"49512448\"]\n  12 -> 25 [size =\"49512448\"]\n  13 [size=\"66014720\", alpha=\"0.02\", expect_size=\"26405888\"] \n  13 -> 19 [size =\"26405888\"]\n  13 -> 23 [size =\"26405888\"]\n  14 [size=\"13793280\", alpha=\"0.00\", expect_size=\"5517312\"] \n  14 -> 19 [size =\"5517312\"]\n  14 -> 22 [size =\"5517312\"]\n  14 -> 23 [size =\"5517312\"]\n  14 -> 24 [size =\"5517312\"]\n  15 [size=\"44730880\", alpha=\"0.13\", expect_size=\"17892352\"] \n  15 -> 23 [size =\"17892352\"]\n  16 [size=\"75200000\", alpha=\"0.12\", expect_size=\"30080000\"] \n  16 -> 19 [size =\"30080000\"]\n  16 -> 20 [size =\"30080000\"]\n  16 -> 21 [size =\"30080000\"]\n  17 [size=\"60303360\", alpha=\"0.15\", expect_size=\"24121344\"] \n  17 -> 22 [size =\"24121344\"]\n  17 -> 23 [size =\"24121344\"]\n  18 [size=\"57024000\", alpha=\"0.01\", expect_size=\"22809600\"] \n  18 -> 19 [size =\"22809600\"]\n  18 -> 21 [size =\"22809600\"]\n  19 [size=\"44206080\", alpha=\"0.10\", expect_size=\"17682432\"] \n  19 -> 27 [size =\"17682432\"]\n  19 -> 27 [size =\"17682432\"]\n  19 -> 29 [size =\"17682432\"]\n  19 -> 30 [size =\"17682432\"]\n  20 [size=\"19701760\", alpha=\"0.06\", expect_size=\"7880704\"] \n  20 -> 26 [size =\"7880704\"]\n  20 -> 27 [size =\"7880704\"]\n  20 -> 30 [size =\"7880704\"]\n  21 [size=\"106045440\", alpha=\"0.13\", expect_size=\"42418176\"] \n  21 -> 30 [size =\"42418176\"]\n  22 [size=\"128832000\", alpha=\"0.11\", expect_size=\"51532800\"] \n  22 -> 27 [size =\"51532800\"]\n  22 -> 30 [size =\"51532800\"]\n  23 [size=\"58557440\", alpha=\"0.02\", expect_size=\"23422976\"] \n  23 -> 27 [size =\"23422976\"]\n  23 -> 28 [size =\"23422976\"]\n  23 -> 29 [size =\"23422976\"]\n  23 -> 30 [size =\"23422976\"]\n  24 [size=\"71656960\", alpha=\"0.04\", expect_size=\"28662784\"] \n  24 -> 26 [size =\"28662784\"]\n  24 -> 27 [size =\"28662784\"]\n  25 [size=\"72179200\", alpha=\"0.01\", expect_size=\"28871680\"] \n  25 -> 26 [size =\"28871680\"]\n  25 -> 27 [size =\"28871680\"]\n  25 -> 29 [size =\"28871680\"]\n  25 -> 30 [size =\"28871680\"]\n  26 [size=\"28032000\", alpha=\"0.16\", expect_size=\"11212800\"] \n  26 -> 32 [size =\"11212800\"]\n  26 -> 34 [size =\"11212800\"]\n  26 -> 36 [size =\"11212800\"]\n  26 -> 37 [size =\"11212800\"]\n  27 [size=\"99548160\", alpha=\"0.01\", expect_size=\"39819264\"] \n  27 -> 31 [size =\"39819264\"]\n  27 -> 33 [size =\"39819264\"]\n  27 -> 37 [size =\"39819264\"]\n  28 [size=\"70860800\", alpha=\"0.04\", expect_size=\"28344320\"] \n  28 -> 33 [size =\"28344320\"]\n  28 -> 37 [size =\"28344320\"]\n  29 [size=\"74736640\", alpha=\"0.00\", expect_size=\"29894656\"] \n  29 -> 31 [size =\"29894656\"]\n  29 -> 32 [size =\"29894656\"]\n  29 -> 33 [size =\"29894656\"]\n  29 -> 35 [size =\"29894656\"]\n  29 -> 37 [size =\"29894656\"]\n  30 [size=\"18383360\", alpha=\"0.10\", expect_size=\"7353344\"] \n  30 -> 32 [size =\"7353344\"]\n  30 -> 35 [size =\"7353344\"]\n  30 -> 37 [size =\"7353344\"]\n  31 [size=\"55864320\", alpha=\"0.17\", expect_size=\"22345728\"] \n  31 -> 39 [size =\"22345728\"]\n  32 [size=\"130639360\", alpha=\"0.03\", expect_size=\"52255744\"] \n  32 -> 40 [size =\"52255744\"]\n  33 [size=\"76418560\", alpha=\"0.18\", expect_size=\"30567424\"] \n  34 [size=\"86773760\", alpha=\"0.13\", expect_size=\"34709504\"] \n  34 -> 40 [size =\"34709504\"]\n  35 [size=\"109286400\", alpha=\"0.13\", expect_size=\"43714560\"] \n  35 -> 39 [size =\"43714560\"]\n  35 -> 40 [size =\"43714560\"]\n  36 [size=\"114472960\", alpha=\"0.04\", expect_size=\"45789184\"] \n  36 -> 38 [size =\"45789184\"]\n  37 [size=\"92398080\", alpha=\"0.03\", expect_size=\"36959232\"] \n  38 [size=\"99645440\", alpha=\"0.09\", expect_size=\"39858176\"] \n  39 [size=\"121520640\", alpha=\"0.01\", expect_size=\"48608256\"] \n  40 [size=\"122969600\", alpha=\"0.13\", expect_size=\"49187840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14210560\", alpha=\"0.04\", expect_size=\"5684224\"] \n  1 -> 29 [size =\"5684224\"]\n  1 -> 31 [size =\"5684224\"]\n  1 -> 32 [size =\"5684224\"]\n  1 -> 34 [size =\"5684224\"]\n  1 -> 35 [size =\"5684224\"]\n  1 -> 39 [size =\"5684224\"]\n  1 -> 40 [size =\"5684224\"]\n  2 [size=\"117532160\", alpha=\"0.02\", expect_size=\"47012864\"] \n  2 -> 32 [size =\"47012864\"]\n  2 -> 34 [size =\"47012864\"]\n  2 -> 35 [size =\"47012864\"]\n  2 -> 39 [size =\"47012864\"]\n  3 [size=\"81164800\", alpha=\"0.02\", expect_size=\"32465920\"] \n  3 -> 32 [size =\"32465920\"]\n  3 -> 34 [size =\"32465920\"]\n  3 -> 35 [size =\"32465920\"]\n  3 -> 39 [size =\"32465920\"]\n  4 [size=\"76892160\", alpha=\"0.15\", expect_size=\"30756864\"] \n  4 -> 29 [size =\"30756864\"]\n  4 -> 30 [size =\"30756864\"]\n  4 -> 32 [size =\"30756864\"]\n  4 -> 33 [size =\"30756864\"]\n  4 -> 34 [size =\"30756864\"]\n  4 -> 35 [size =\"30756864\"]\n  4 -> 39 [size =\"30756864\"]\n  5 [size=\"95329280\", alpha=\"0.18\", expect_size=\"38131712\"] \n  5 -> 29 [size =\"38131712\"]\n  5 -> 32 [size =\"38131712\"]\n  5 -> 32 [size =\"38131712\"]\n  5 -> 33 [size =\"38131712\"]\n  5 -> 35 [size =\"38131712\"]\n  5 -> 35 [size =\"38131712\"]\n  5 -> 39 [size =\"38131712\"]\n  6 [size=\"122862080\", alpha=\"0.02\", expect_size=\"49144832\"] \n  6 -> 28 [size =\"49144832\"]\n  6 -> 30 [size =\"49144832\"]\n  6 -> 32 [size =\"49144832\"]\n  6 -> 35 [size =\"49144832\"]\n  6 -> 35 [size =\"49144832\"]\n  6 -> 37 [size =\"49144832\"]\n  6 -> 38 [size =\"49144832\"]\n  6 -> 39 [size =\"49144832\"]\n  7 [size=\"45690880\", alpha=\"0.17\", expect_size=\"18276352\"] \n  7 -> 31 [size =\"18276352\"]\n  7 -> 32 [size =\"18276352\"]\n  7 -> 32 [size =\"18276352\"]\n  7 -> 34 [size =\"18276352\"]\n  7 -> 35 [size =\"18276352\"]\n  7 -> 36 [size =\"18276352\"]\n  7 -> 39 [size =\"18276352\"]\n  7 -> 39 [size =\"18276352\"]\n  8 [size=\"40803840\", alpha=\"0.09\", expect_size=\"16321536\"] \n  8 -> 29 [size =\"16321536\"]\n  8 -> 31 [size =\"16321536\"]\n  8 -> 32 [size =\"16321536\"]\n  8 -> 35 [size =\"16321536\"]\n  8 -> 37 [size =\"16321536\"]\n  8 -> 39 [size =\"16321536\"]\n  8 -> 39 [size =\"16321536\"]\n  9 [size=\"82045440\", alpha=\"0.11\", expect_size=\"32818176\"] \n  9 -> 31 [size =\"32818176\"]\n  9 -> 32 [size =\"32818176\"]\n  9 -> 32 [size =\"32818176\"]\n  9 -> 33 [size =\"32818176\"]\n  9 -> 34 [size =\"32818176\"]\n  9 -> 39 [size =\"32818176\"]\n  10 [size=\"121697280\", alpha=\"0.02\", expect_size=\"48678912\"] \n  10 -> 29 [size =\"48678912\"]\n  10 -> 30 [size =\"48678912\"]\n  10 -> 31 [size =\"48678912\"]\n  10 -> 32 [size =\"48678912\"]\n  10 -> 33 [size =\"48678912\"]\n  10 -> 34 [size =\"48678912\"]\n  10 -> 35 [size =\"48678912\"]\n  10 -> 39 [size =\"48678912\"]\n  11 [size=\"67717120\", alpha=\"0.04\", expect_size=\"27086848\"] \n  11 -> 28 [size =\"27086848\"]\n  11 -> 29 [size =\"27086848\"]\n  11 -> 30 [size =\"27086848\"]\n  11 -> 31 [size =\"27086848\"]\n  11 -> 33 [size =\"27086848\"]\n  11 -> 35 [size =\"27086848\"]\n  11 -> 37 [size =\"27086848\"]\n  11 -> 39 [size =\"27086848\"]\n  12 [size=\"88637440\", alpha=\"0.03\", expect_size=\"35454976\"] \n  12 -> 29 [size =\"35454976\"]\n  12 -> 30 [size =\"35454976\"]\n  12 -> 31 [size =\"35454976\"]\n  12 -> 35 [size =\"35454976\"]\n  12 -> 37 [size =\"35454976\"]\n  12 -> 39 [size =\"35454976\"]\n  12 -> 40 [size =\"35454976\"]\n  13 [size=\"102138880\", alpha=\"0.08\", expect_size=\"40855552\"] \n  13 -> 29 [size =\"40855552\"]\n  13 -> 31 [size =\"40855552\"]\n  13 -> 34 [size =\"40855552\"]\n  13 -> 37 [size =\"40855552\"]\n  13 -> 37 [size =\"40855552\"]\n  13 -> 39 [size =\"40855552\"]\n  14 [size=\"115522560\", alpha=\"0.04\", expect_size=\"46209024\"] \n  14 -> 29 [size =\"46209024\"]\n  14 -> 33 [size =\"46209024\"]\n  14 -> 37 [size =\"46209024\"]\n  14 -> 38 [size =\"46209024\"]\n  14 -> 40 [size =\"46209024\"]\n  15 [size=\"85931520\", alpha=\"0.04\", expect_size=\"34372608\"] \n  15 -> 29 [size =\"34372608\"]\n  15 -> 31 [size =\"34372608\"]\n  15 -> 33 [size =\"34372608\"]\n  15 -> 37 [size =\"34372608\"]\n  16 [size=\"76994560\", alpha=\"0.07\", expect_size=\"30797824\"] \n  16 -> 29 [size =\"30797824\"]\n  16 -> 31 [size =\"30797824\"]\n  16 -> 33 [size =\"30797824\"]\n  16 -> 36 [size =\"30797824\"]\n  16 -> 39 [size =\"30797824\"]\n  17 [size=\"86402560\", alpha=\"0.04\", expect_size=\"34561024\"] \n  17 -> 29 [size =\"34561024\"]\n  17 -> 31 [size =\"34561024\"]\n  17 -> 33 [size =\"34561024\"]\n  17 -> 34 [size =\"34561024\"]\n  17 -> 40 [size =\"34561024\"]\n  18 [size=\"66147840\", alpha=\"0.01\", expect_size=\"26459136\"] \n  18 -> 28 [size =\"26459136\"]\n  18 -> 29 [size =\"26459136\"]\n  18 -> 31 [size =\"26459136\"]\n  18 -> 32 [size =\"26459136\"]\n  18 -> 34 [size =\"26459136\"]\n  18 -> 35 [size =\"26459136\"]\n  18 -> 37 [size =\"26459136\"]\n  18 -> 39 [size =\"26459136\"]\n  19 [size=\"118768640\", alpha=\"0.18\", expect_size=\"47507456\"] \n  19 -> 31 [size =\"47507456\"]\n  19 -> 32 [size =\"47507456\"]\n  19 -> 33 [size =\"47507456\"]\n  19 -> 34 [size =\"47507456\"]\n  19 -> 35 [size =\"47507456\"]\n  20 [size=\"67975680\", alpha=\"0.11\", expect_size=\"27190272\"] \n  20 -> 31 [size =\"27190272\"]\n  20 -> 32 [size =\"27190272\"]\n  20 -> 34 [size =\"27190272\"]\n  20 -> 35 [size =\"27190272\"]\n  20 -> 35 [size =\"27190272\"]\n  20 -> 36 [size =\"27190272\"]\n  20 -> 37 [size =\"27190272\"]\n  20 -> 38 [size =\"27190272\"]\n  21 [size=\"81525760\", alpha=\"0.04\", expect_size=\"32610304\"] \n  21 -> 29 [size =\"32610304\"]\n  21 -> 31 [size =\"32610304\"]\n  21 -> 34 [size =\"32610304\"]\n  21 -> 35 [size =\"32610304\"]\n  21 -> 37 [size =\"32610304\"]\n  22 [size=\"106557440\", alpha=\"0.15\", expect_size=\"42622976\"] \n  22 -> 34 [size =\"42622976\"]\n  22 -> 35 [size =\"42622976\"]\n  22 -> 37 [size =\"42622976\"]\n  22 -> 38 [size =\"42622976\"]\n  22 -> 39 [size =\"42622976\"]\n  22 -> 40 [size =\"42622976\"]\n  23 [size=\"124070400\", alpha=\"0.17\", expect_size=\"49628160\"] \n  23 -> 32 [size =\"49628160\"]\n  23 -> 34 [size =\"49628160\"]\n  23 -> 38 [size =\"49628160\"]\n  23 -> 39 [size =\"49628160\"]\n  24 [size=\"51829760\", alpha=\"0.10\", expect_size=\"20731904\"] \n  24 -> 29 [size =\"20731904\"]\n  24 -> 30 [size =\"20731904\"]\n  24 -> 32 [size =\"20731904\"]\n  24 -> 33 [size =\"20731904\"]\n  24 -> 34 [size =\"20731904\"]\n  24 -> 35 [size =\"20731904\"]\n  24 -> 37 [size =\"20731904\"]\n  24 -> 38 [size =\"20731904\"]\n  24 -> 39 [size =\"20731904\"]\n  25 [size=\"75837440\", alpha=\"0.17\", expect_size=\"30334976\"] \n  25 -> 28 [size =\"30334976\"]\n  25 -> 30 [size =\"30334976\"]\n  25 -> 32 [size =\"30334976\"]\n  25 -> 34 [size =\"30334976\"]\n  25 -> 34 [size =\"30334976\"]\n  25 -> 35 [size =\"30334976\"]\n  25 -> 39 [size =\"30334976\"]\n  26 [size=\"97528320\", alpha=\"0.02\", expect_size=\"39011328\"] \n  26 -> 28 [size =\"39011328\"]\n  26 -> 32 [size =\"39011328\"]\n  26 -> 33 [size =\"39011328\"]\n  26 -> 34 [size =\"39011328\"]\n  26 -> 35 [size =\"39011328\"]\n  26 -> 37 [size =\"39011328\"]\n  26 -> 39 [size =\"39011328\"]\n  27 [size=\"19371520\", alpha=\"0.13\", expect_size=\"7748608\"] \n  27 -> 30 [size =\"7748608\"]\n  27 -> 37 [size =\"7748608\"]\n  27 -> 39 [size =\"7748608\"]\n  28 [size=\"44198400\", alpha=\"0.09\", expect_size=\"17679360\"] \n  29 [size=\"50255360\", alpha=\"0.16\", expect_size=\"20102144\"] \n  30 [size=\"41359360\", alpha=\"0.02\", expect_size=\"16543744\"] \n  31 [size=\"107496960\", alpha=\"0.17\", expect_size=\"42998784\"] \n  32 [size=\"13841920\", alpha=\"0.05\", expect_size=\"5536768\"] \n  33 [size=\"100748800\", alpha=\"0.08\", expect_size=\"40299520\"] \n  34 [size=\"82385920\", alpha=\"0.09\", expect_size=\"32954368\"] \n  35 [size=\"22538240\", alpha=\"0.01\", expect_size=\"9015296\"] \n  36 [size=\"121392640\", alpha=\"0.05\", expect_size=\"48557056\"] \n  37 [size=\"16847360\", alpha=\"0.01\", expect_size=\"6738944\"] \n  38 [size=\"95380480\", alpha=\"0.06\", expect_size=\"38152192\"] \n  39 [size=\"30794240\", alpha=\"0.09\", expect_size=\"12317696\"] \n  40 [size=\"127953920\", alpha=\"0.01\", expect_size=\"51181568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93987840\", alpha=\"0.03\", expect_size=\"37595136\"] \n  1 -> 6 [size =\"37595136\"]\n  2 [size=\"114772480\", alpha=\"0.17\", expect_size=\"45908992\"] \n  2 -> 6 [size =\"45908992\"]\n  2 -> 7 [size =\"45908992\"]\n  2 -> 10 [size =\"45908992\"]\n  3 [size=\"92979200\", alpha=\"0.06\", expect_size=\"37191680\"] \n  3 -> 6 [size =\"37191680\"]\n  3 -> 8 [size =\"37191680\"]\n  3 -> 9 [size =\"37191680\"]\n  3 -> 10 [size =\"37191680\"]\n  4 [size=\"66810880\", alpha=\"0.18\", expect_size=\"26724352\"] \n  4 -> 6 [size =\"26724352\"]\n  4 -> 7 [size =\"26724352\"]\n  4 -> 8 [size =\"26724352\"]\n  4 -> 10 [size =\"26724352\"]\n  5 [size=\"62248960\", alpha=\"0.15\", expect_size=\"24899584\"] \n  5 -> 6 [size =\"24899584\"]\n  6 [size=\"127751680\", alpha=\"0.08\", expect_size=\"51100672\"] \n  6 -> 12 [size =\"51100672\"]\n  6 -> 14 [size =\"51100672\"]\n  6 -> 15 [size =\"51100672\"]\n  6 -> 16 [size =\"51100672\"]\n  7 [size=\"71823360\", alpha=\"0.15\", expect_size=\"28729344\"] \n  7 -> 15 [size =\"28729344\"]\n  7 -> 16 [size =\"28729344\"]\n  8 [size=\"17920000\", alpha=\"0.00\", expect_size=\"7168000\"] \n  8 -> 11 [size =\"7168000\"]\n  8 -> 14 [size =\"7168000\"]\n  8 -> 16 [size =\"7168000\"]\n  9 [size=\"61217280\", alpha=\"0.15\", expect_size=\"24486912\"] \n  9 -> 13 [size =\"24486912\"]\n  9 -> 15 [size =\"24486912\"]\n  10 [size=\"125335040\", alpha=\"0.18\", expect_size=\"50134016\"] \n  10 -> 12 [size =\"50134016\"]\n  10 -> 15 [size =\"50134016\"]\n  10 -> 16 [size =\"50134016\"]\n  11 [size=\"31221760\", alpha=\"0.16\", expect_size=\"12488704\"] \n  11 -> 17 [size =\"12488704\"]\n  11 -> 18 [size =\"12488704\"]\n  11 -> 19 [size =\"12488704\"]\n  11 -> 20 [size =\"12488704\"]\n  11 -> 21 [size =\"12488704\"]\n  11 -> 22 [size =\"12488704\"]\n  12 [size=\"46504960\", alpha=\"0.08\", expect_size=\"18601984\"] \n  12 -> 17 [size =\"18601984\"]\n  12 -> 20 [size =\"18601984\"]\n  13 [size=\"28723200\", alpha=\"0.16\", expect_size=\"11489280\"] \n  13 -> 17 [size =\"11489280\"]\n  14 [size=\"62133760\", alpha=\"0.17\", expect_size=\"24853504\"] \n  14 -> 17 [size =\"24853504\"]\n  14 -> 18 [size =\"24853504\"]\n  14 -> 19 [size =\"24853504\"]\n  15 [size=\"50135040\", alpha=\"0.06\", expect_size=\"20054016\"] \n  15 -> 17 [size =\"20054016\"]\n  15 -> 20 [size =\"20054016\"]\n  15 -> 21 [size =\"20054016\"]\n  16 [size=\"18012160\", alpha=\"0.02\", expect_size=\"7204864\"] \n  16 -> 17 [size =\"7204864\"]\n  16 -> 18 [size =\"7204864\"]\n  16 -> 20 [size =\"7204864\"]\n  17 [size=\"64857600\", alpha=\"0.07\", expect_size=\"25943040\"] \n  17 -> 23 [size =\"25943040\"]\n  17 -> 24 [size =\"25943040\"]\n  17 -> 26 [size =\"25943040\"]\n  18 [size=\"34805760\", alpha=\"0.05\", expect_size=\"13922304\"] \n  18 -> 23 [size =\"13922304\"]\n  18 -> 24 [size =\"13922304\"]\n  18 -> 25 [size =\"13922304\"]\n  18 -> 26 [size =\"13922304\"]\n  18 -> 28 [size =\"13922304\"]\n  19 [size=\"35450880\", alpha=\"0.14\", expect_size=\"14180352\"] \n  19 -> 23 [size =\"14180352\"]\n  19 -> 24 [size =\"14180352\"]\n  19 -> 26 [size =\"14180352\"]\n  19 -> 26 [size =\"14180352\"]\n  19 -> 27 [size =\"14180352\"]\n  20 [size=\"122818560\", alpha=\"0.20\", expect_size=\"49127424\"] \n  20 -> 23 [size =\"49127424\"]\n  20 -> 24 [size =\"49127424\"]\n  20 -> 28 [size =\"49127424\"]\n  21 [size=\"110556160\", alpha=\"0.20\", expect_size=\"44222464\"] \n  21 -> 23 [size =\"44222464\"]\n  21 -> 24 [size =\"44222464\"]\n  21 -> 25 [size =\"44222464\"]\n  21 -> 26 [size =\"44222464\"]\n  21 -> 27 [size =\"44222464\"]\n  22 [size=\"87106560\", alpha=\"0.16\", expect_size=\"34842624\"] \n  22 -> 23 [size =\"34842624\"]\n  22 -> 24 [size =\"34842624\"]\n  22 -> 26 [size =\"34842624\"]\n  22 -> 27 [size =\"34842624\"]\n  23 [size=\"18183680\", alpha=\"0.07\", expect_size=\"7273472\"] \n  23 -> 29 [size =\"7273472\"]\n  23 -> 33 [size =\"7273472\"]\n  24 [size=\"113820160\", alpha=\"0.06\", expect_size=\"45528064\"] \n  24 -> 29 [size =\"45528064\"]\n  24 -> 32 [size =\"45528064\"]\n  25 [size=\"95575040\", alpha=\"0.14\", expect_size=\"38230016\"] \n  25 -> 29 [size =\"38230016\"]\n  25 -> 30 [size =\"38230016\"]\n  25 -> 31 [size =\"38230016\"]\n  25 -> 32 [size =\"38230016\"]\n  26 [size=\"15424000\", alpha=\"0.01\", expect_size=\"6169600\"] \n  26 -> 30 [size =\"6169600\"]\n  26 -> 30 [size =\"6169600\"]\n  26 -> 31 [size =\"6169600\"]\n  26 -> 32 [size =\"6169600\"]\n  26 -> 33 [size =\"6169600\"]\n  27 [size=\"28794880\", alpha=\"0.19\", expect_size=\"11517952\"] \n  27 -> 29 [size =\"11517952\"]\n  27 -> 31 [size =\"11517952\"]\n  27 -> 31 [size =\"11517952\"]\n  27 -> 33 [size =\"11517952\"]\n  27 -> 34 [size =\"11517952\"]\n  28 [size=\"72343040\", alpha=\"0.17\", expect_size=\"28937216\"] \n  28 -> 30 [size =\"28937216\"]\n  28 -> 31 [size =\"28937216\"]\n  28 -> 33 [size =\"28937216\"]\n  29 [size=\"99164160\", alpha=\"0.03\", expect_size=\"39665664\"] \n  29 -> 35 [size =\"39665664\"]\n  29 -> 39 [size =\"39665664\"]\n  30 [size=\"63603200\", alpha=\"0.08\", expect_size=\"25441280\"] \n  31 [size=\"62970880\", alpha=\"0.17\", expect_size=\"25188352\"] \n  31 -> 36 [size =\"25188352\"]\n  31 -> 37 [size =\"25188352\"]\n  32 [size=\"60175360\", alpha=\"0.11\", expect_size=\"24070144\"] \n  32 -> 37 [size =\"24070144\"]\n  32 -> 39 [size =\"24070144\"]\n  33 [size=\"38927360\", alpha=\"0.07\", expect_size=\"15570944\"] \n  33 -> 37 [size =\"15570944\"]\n  34 [size=\"79096320\", alpha=\"0.12\", expect_size=\"31638528\"] \n  34 -> 37 [size =\"31638528\"]\n  34 -> 38 [size =\"31638528\"]\n  35 [size=\"116421120\", alpha=\"0.03\", expect_size=\"46568448\"] \n  35 -> 40 [size =\"46568448\"]\n  36 [size=\"82081280\", alpha=\"0.15\", expect_size=\"32832512\"] \n  37 [size=\"90721280\", alpha=\"0.16\", expect_size=\"36288512\"] \n  37 -> 40 [size =\"36288512\"]\n  38 [size=\"83097600\", alpha=\"0.01\", expect_size=\"33239040\"] \n  38 -> 40 [size =\"33239040\"]\n  39 [size=\"64025600\", alpha=\"0.09\", expect_size=\"25610240\"] \n  39 -> 40 [size =\"25610240\"]\n  40 [size=\"81612800\", alpha=\"0.16\", expect_size=\"32645120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46080000\", alpha=\"0.15\", expect_size=\"23040000\"] \n  1 -> 21 [size =\"23040000\"]\n  1 -> 22 [size =\"23040000\"]\n  1 -> 23 [size =\"23040000\"]\n  1 -> 30 [size =\"23040000\"]\n  1 -> 31 [size =\"23040000\"]\n  1 -> 33 [size =\"23040000\"]\n  2 [size=\"46309376\", alpha=\"0.06\", expect_size=\"23154688\"] \n  2 -> 22 [size =\"23154688\"]\n  2 -> 22 [size =\"23154688\"]\n  2 -> 23 [size =\"23154688\"]\n  2 -> 26 [size =\"23154688\"]\n  3 [size=\"64929792\", alpha=\"0.04\", expect_size=\"32464896\"] \n  3 -> 20 [size =\"32464896\"]\n  3 -> 21 [size =\"32464896\"]\n  3 -> 22 [size =\"32464896\"]\n  3 -> 23 [size =\"32464896\"]\n  3 -> 24 [size =\"32464896\"]\n  3 -> 25 [size =\"32464896\"]\n  3 -> 27 [size =\"32464896\"]\n  3 -> 28 [size =\"32464896\"]\n  3 -> 30 [size =\"32464896\"]\n  4 [size=\"50114560\", alpha=\"0.13\", expect_size=\"25057280\"] \n  4 -> 21 [size =\"25057280\"]\n  4 -> 22 [size =\"25057280\"]\n  4 -> 23 [size =\"25057280\"]\n  4 -> 25 [size =\"25057280\"]\n  4 -> 31 [size =\"25057280\"]\n  5 [size=\"40431616\", alpha=\"0.10\", expect_size=\"20215808\"] \n  5 -> 21 [size =\"20215808\"]\n  5 -> 23 [size =\"20215808\"]\n  5 -> 23 [size =\"20215808\"]\n  5 -> 25 [size =\"20215808\"]\n  5 -> 33 [size =\"20215808\"]\n  6 [size=\"50542592\", alpha=\"0.11\", expect_size=\"25271296\"] \n  6 -> 29 [size =\"25271296\"]\n  6 -> 30 [size =\"25271296\"]\n  6 -> 33 [size =\"25271296\"]\n  7 [size=\"65912832\", alpha=\"0.04\", expect_size=\"32956416\"] \n  7 -> 23 [size =\"32956416\"]\n  7 -> 24 [size =\"32956416\"]\n  7 -> 28 [size =\"32956416\"]\n  7 -> 29 [size =\"32956416\"]\n  7 -> 31 [size =\"32956416\"]\n  7 -> 32 [size =\"32956416\"]\n  8 [size=\"81809408\", alpha=\"0.08\", expect_size=\"40904704\"] \n  8 -> 21 [size =\"40904704\"]\n  8 -> 22 [size =\"40904704\"]\n  8 -> 23 [size =\"40904704\"]\n  8 -> 28 [size =\"40904704\"]\n  8 -> 29 [size =\"40904704\"]\n  8 -> 33 [size =\"40904704\"]\n  9 [size=\"71878656\", alpha=\"0.03\", expect_size=\"35939328\"] \n  9 -> 20 [size =\"35939328\"]\n  9 -> 24 [size =\"35939328\"]\n  9 -> 28 [size =\"35939328\"]\n  9 -> 29 [size =\"35939328\"]\n  9 -> 29 [size =\"35939328\"]\n  9 -> 31 [size =\"35939328\"]\n  10 [size=\"66519040\", alpha=\"0.17\", expect_size=\"33259520\"] \n  10 -> 20 [size =\"33259520\"]\n  10 -> 21 [size =\"33259520\"]\n  10 -> 24 [size =\"33259520\"]\n  10 -> 26 [size =\"33259520\"]\n  10 -> 27 [size =\"33259520\"]\n  10 -> 28 [size =\"33259520\"]\n  11 [size=\"87058432\", alpha=\"0.05\", expect_size=\"43529216\"] \n  11 -> 20 [size =\"43529216\"]\n  11 -> 21 [size =\"43529216\"]\n  11 -> 23 [size =\"43529216\"]\n  11 -> 24 [size =\"43529216\"]\n  11 -> 25 [size =\"43529216\"]\n  11 -> 26 [size =\"43529216\"]\n  11 -> 28 [size =\"43529216\"]\n  11 -> 29 [size =\"43529216\"]\n  11 -> 31 [size =\"43529216\"]\n  11 -> 34 [size =\"43529216\"]\n  12 [size=\"64937984\", alpha=\"0.11\", expect_size=\"32468992\"] \n  12 -> 20 [size =\"32468992\"]\n  12 -> 22 [size =\"32468992\"]\n  12 -> 23 [size =\"32468992\"]\n  12 -> 24 [size =\"32468992\"]\n  12 -> 26 [size =\"32468992\"]\n  12 -> 28 [size =\"32468992\"]\n  12 -> 30 [size =\"32468992\"]\n  13 [size=\"92805120\", alpha=\"0.14\", expect_size=\"46402560\"] \n  13 -> 20 [size =\"46402560\"]\n  13 -> 22 [size =\"46402560\"]\n  13 -> 26 [size =\"46402560\"]\n  13 -> 29 [size =\"46402560\"]\n  13 -> 33 [size =\"46402560\"]\n  14 [size=\"15779840\", alpha=\"0.13\", expect_size=\"7889920\"] \n  14 -> 20 [size =\"7889920\"]\n  14 -> 21 [size =\"7889920\"]\n  14 -> 25 [size =\"7889920\"]\n  14 -> 26 [size =\"7889920\"]\n  14 -> 28 [size =\"7889920\"]\n  14 -> 29 [size =\"7889920\"]\n  14 -> 30 [size =\"7889920\"]\n  14 -> 31 [size =\"7889920\"]\n  14 -> 33 [size =\"7889920\"]\n  15 [size=\"77869056\", alpha=\"0.16\", expect_size=\"38934528\"] \n  15 -> 20 [size =\"38934528\"]\n  15 -> 21 [size =\"38934528\"]\n  15 -> 24 [size =\"38934528\"]\n  15 -> 26 [size =\"38934528\"]\n  15 -> 30 [size =\"38934528\"]\n  16 [size=\"28866560\", alpha=\"0.11\", expect_size=\"14433280\"] \n  16 -> 22 [size =\"14433280\"]\n  16 -> 29 [size =\"14433280\"]\n  16 -> 30 [size =\"14433280\"]\n  17 [size=\"81483776\", alpha=\"0.13\", expect_size=\"40741888\"] \n  17 -> 20 [size =\"40741888\"]\n  17 -> 22 [size =\"40741888\"]\n  17 -> 23 [size =\"40741888\"]\n  17 -> 24 [size =\"40741888\"]\n  17 -> 25 [size =\"40741888\"]\n  17 -> 26 [size =\"40741888\"]\n  17 -> 28 [size =\"40741888\"]\n  17 -> 31 [size =\"40741888\"]\n  17 -> 32 [size =\"40741888\"]\n  18 [size=\"101255168\", alpha=\"0.00\", expect_size=\"50627584\"] \n  18 -> 20 [size =\"50627584\"]\n  18 -> 24 [size =\"50627584\"]\n  18 -> 30 [size =\"50627584\"]\n  18 -> 31 [size =\"50627584\"]\n  19 [size=\"45748224\", alpha=\"0.19\", expect_size=\"22874112\"] \n  19 -> 20 [size =\"22874112\"]\n  19 -> 22 [size =\"22874112\"]\n  19 -> 26 [size =\"22874112\"]\n  19 -> 30 [size =\"22874112\"]\n  19 -> 31 [size =\"22874112\"]\n  19 -> 33 [size =\"22874112\"]\n  20 [size=\"61044736\", alpha=\"0.17\", expect_size=\"30522368\"] \n  20 -> 39 [size =\"30522368\"]\n  21 [size=\"47296512\", alpha=\"0.03\", expect_size=\"23648256\"] \n  22 [size=\"72308736\", alpha=\"0.17\", expect_size=\"36154368\"] \n  22 -> 36 [size =\"36154368\"]\n  22 -> 37 [size =\"36154368\"]\n  22 -> 38 [size =\"36154368\"]\n  23 [size=\"30451712\", alpha=\"0.01\", expect_size=\"15225856\"] \n  24 [size=\"96925696\", alpha=\"0.15\", expect_size=\"48462848\"] \n  24 -> 37 [size =\"48462848\"]\n  24 -> 38 [size =\"48462848\"]\n  25 [size=\"64544768\", alpha=\"0.14\", expect_size=\"32272384\"] \n  25 -> 38 [size =\"32272384\"]\n  25 -> 39 [size =\"32272384\"]\n  26 [size=\"46002176\", alpha=\"0.03\", expect_size=\"23001088\"] \n  27 [size=\"95668224\", alpha=\"0.03\", expect_size=\"47834112\"] \n  27 -> 35 [size =\"47834112\"]\n  27 -> 38 [size =\"47834112\"]\n  27 -> 39 [size =\"47834112\"]\n  28 [size=\"63698944\", alpha=\"0.18\", expect_size=\"31849472\"] \n  28 -> 37 [size =\"31849472\"]\n  28 -> 38 [size =\"31849472\"]\n  29 [size=\"65550336\", alpha=\"0.06\", expect_size=\"32775168\"] \n  29 -> 39 [size =\"32775168\"]\n  29 -> 40 [size =\"32775168\"]\n  30 [size=\"61200384\", alpha=\"0.06\", expect_size=\"30600192\"] \n  30 -> 37 [size =\"30600192\"]\n  30 -> 38 [size =\"30600192\"]\n  30 -> 40 [size =\"30600192\"]\n  31 [size=\"48617472\", alpha=\"0.02\", expect_size=\"24308736\"] \n  31 -> 37 [size =\"24308736\"]\n  31 -> 38 [size =\"24308736\"]\n  31 -> 39 [size =\"24308736\"]\n  31 -> 40 [size =\"24308736\"]\n  32 [size=\"63395840\", alpha=\"0.09\", expect_size=\"31697920\"] \n  32 -> 36 [size =\"31697920\"]\n  32 -> 38 [size =\"31697920\"]\n  32 -> 40 [size =\"31697920\"]\n  32 -> 40 [size =\"31697920\"]\n  33 [size=\"46989312\", alpha=\"0.14\", expect_size=\"23494656\"] \n  33 -> 39 [size =\"23494656\"]\n  33 -> 40 [size =\"23494656\"]\n  34 [size=\"53843968\", alpha=\"0.01\", expect_size=\"26921984\"] \n  34 -> 36 [size =\"26921984\"]\n  34 -> 39 [size =\"26921984\"]\n  35 [size=\"29214720\", alpha=\"0.01\", expect_size=\"14607360\"] \n  36 [size=\"97423360\", alpha=\"0.06\", expect_size=\"48711680\"] \n  37 [size=\"15409152\", alpha=\"0.05\", expect_size=\"7704576\"] \n  38 [size=\"27346944\", alpha=\"0.04\", expect_size=\"13673472\"] \n  39 [size=\"15816704\", alpha=\"0.10\", expect_size=\"7908352\"] \n  40 [size=\"42215424\", alpha=\"0.07\", expect_size=\"21107712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49602560\", alpha=\"0.08\", expect_size=\"14880768\"] \n  1 -> 10 [size =\"14880768\"]\n  1 -> 13 [size =\"14880768\"]\n  1 -> 14 [size =\"14880768\"]\n  1 -> 15 [size =\"14880768\"]\n  1 -> 22 [size =\"14880768\"]\n  2 [size=\"159501653\", alpha=\"0.03\", expect_size=\"47850496\"] \n  2 -> 10 [size =\"47850496\"]\n  2 -> 11 [size =\"47850496\"]\n  2 -> 13 [size =\"47850496\"]\n  2 -> 16 [size =\"47850496\"]\n  2 -> 22 [size =\"47850496\"]\n  3 [size=\"18107733\", alpha=\"0.01\", expect_size=\"5432320\"] \n  3 -> 10 [size =\"5432320\"]\n  3 -> 13 [size =\"5432320\"]\n  3 -> 13 [size =\"5432320\"]\n  3 -> 15 [size =\"5432320\"]\n  3 -> 16 [size =\"5432320\"]\n  3 -> 18 [size =\"5432320\"]\n  3 -> 22 [size =\"5432320\"]\n  4 [size=\"39058773\", alpha=\"0.00\", expect_size=\"11717632\"] \n  4 -> 11 [size =\"11717632\"]\n  4 -> 15 [size =\"11717632\"]\n  4 -> 16 [size =\"11717632\"]\n  4 -> 21 [size =\"11717632\"]\n  4 -> 22 [size =\"11717632\"]\n  5 [size=\"96914773\", alpha=\"0.11\", expect_size=\"29074432\"] \n  5 -> 10 [size =\"29074432\"]\n  5 -> 11 [size =\"29074432\"]\n  5 -> 12 [size =\"29074432\"]\n  5 -> 15 [size =\"29074432\"]\n  5 -> 16 [size =\"29074432\"]\n  5 -> 17 [size =\"29074432\"]\n  5 -> 21 [size =\"29074432\"]\n  5 -> 22 [size =\"29074432\"]\n  6 [size=\"127208107\", alpha=\"0.11\", expect_size=\"38162432\"] \n  6 -> 10 [size =\"38162432\"]\n  6 -> 11 [size =\"38162432\"]\n  6 -> 15 [size =\"38162432\"]\n  6 -> 16 [size =\"38162432\"]\n  6 -> 18 [size =\"38162432\"]\n  6 -> 21 [size =\"38162432\"]\n  6 -> 22 [size =\"38162432\"]\n  7 [size=\"166386347\", alpha=\"0.06\", expect_size=\"49915904\"] \n  7 -> 10 [size =\"49915904\"]\n  7 -> 11 [size =\"49915904\"]\n  7 -> 13 [size =\"49915904\"]\n  7 -> 15 [size =\"49915904\"]\n  7 -> 21 [size =\"49915904\"]\n  8 [size=\"147374080\", alpha=\"0.02\", expect_size=\"44212224\"] \n  8 -> 11 [size =\"44212224\"]\n  8 -> 15 [size =\"44212224\"]\n  8 -> 16 [size =\"44212224\"]\n  8 -> 19 [size =\"44212224\"]\n  8 -> 21 [size =\"44212224\"]\n  8 -> 22 [size =\"44212224\"]\n  9 [size=\"62102187\", alpha=\"0.06\", expect_size=\"18630656\"] \n  9 -> 10 [size =\"18630656\"]\n  9 -> 13 [size =\"18630656\"]\n  9 -> 14 [size =\"18630656\"]\n  9 -> 15 [size =\"18630656\"]\n  9 -> 20 [size =\"18630656\"]\n  9 -> 22 [size =\"18630656\"]\n  10 [size=\"143523840\", alpha=\"0.06\", expect_size=\"43057152\"] \n  10 -> 27 [size =\"43057152\"]\n  10 -> 28 [size =\"43057152\"]\n  11 [size=\"29931520\", alpha=\"0.08\", expect_size=\"8979456\"] \n  11 -> 23 [size =\"8979456\"]\n  11 -> 24 [size =\"8979456\"]\n  11 -> 25 [size =\"8979456\"]\n  11 -> 26 [size =\"8979456\"]\n  11 -> 29 [size =\"8979456\"]\n  11 -> 30 [size =\"8979456\"]\n  11 -> 31 [size =\"8979456\"]\n  12 [size=\"89743360\", alpha=\"0.13\", expect_size=\"26923008\"] \n  12 -> 23 [size =\"26923008\"]\n  12 -> 25 [size =\"26923008\"]\n  12 -> 29 [size =\"26923008\"]\n  12 -> 30 [size =\"26923008\"]\n  13 [size=\"115725653\", alpha=\"0.07\", expect_size=\"34717696\"] \n  13 -> 23 [size =\"34717696\"]\n  13 -> 29 [size =\"34717696\"]\n  14 [size=\"124200960\", alpha=\"0.12\", expect_size=\"37260288\"] \n  14 -> 25 [size =\"37260288\"]\n  14 -> 26 [size =\"37260288\"]\n  14 -> 28 [size =\"37260288\"]\n  14 -> 29 [size =\"37260288\"]\n  14 -> 30 [size =\"37260288\"]\n  15 [size=\"125286400\", alpha=\"0.18\", expect_size=\"37585920\"] \n  15 -> 24 [size =\"37585920\"]\n  15 -> 25 [size =\"37585920\"]\n  15 -> 29 [size =\"37585920\"]\n  15 -> 30 [size =\"37585920\"]\n  15 -> 31 [size =\"37585920\"]\n  15 -> 32 [size =\"37585920\"]\n  16 [size=\"53340160\", alpha=\"0.12\", expect_size=\"16002048\"] \n  16 -> 23 [size =\"16002048\"]\n  16 -> 24 [size =\"16002048\"]\n  16 -> 29 [size =\"16002048\"]\n  16 -> 30 [size =\"16002048\"]\n  16 -> 31 [size =\"16002048\"]\n  16 -> 32 [size =\"16002048\"]\n  17 [size=\"137560747\", alpha=\"0.16\", expect_size=\"41268224\"] \n  17 -> 23 [size =\"41268224\"]\n  17 -> 24 [size =\"41268224\"]\n  17 -> 25 [size =\"41268224\"]\n  17 -> 28 [size =\"41268224\"]\n  17 -> 30 [size =\"41268224\"]\n  17 -> 32 [size =\"41268224\"]\n  18 [size=\"29074773\", alpha=\"0.16\", expect_size=\"8722432\"] \n  18 -> 23 [size =\"8722432\"]\n  18 -> 24 [size =\"8722432\"]\n  18 -> 25 [size =\"8722432\"]\n  18 -> 27 [size =\"8722432\"]\n  18 -> 28 [size =\"8722432\"]\n  18 -> 30 [size =\"8722432\"]\n  18 -> 31 [size =\"8722432\"]\n  18 -> 32 [size =\"8722432\"]\n  19 [size=\"46455467\", alpha=\"0.13\", expect_size=\"13936640\"] \n  19 -> 23 [size =\"13936640\"]\n  19 -> 24 [size =\"13936640\"]\n  19 -> 25 [size =\"13936640\"]\n  19 -> 27 [size =\"13936640\"]\n  19 -> 30 [size =\"13936640\"]\n  19 -> 31 [size =\"13936640\"]\n  19 -> 32 [size =\"13936640\"]\n  20 [size=\"94122667\", alpha=\"0.15\", expect_size=\"28236800\"] \n  20 -> 23 [size =\"28236800\"]\n  20 -> 24 [size =\"28236800\"]\n  20 -> 30 [size =\"28236800\"]\n  20 -> 32 [size =\"28236800\"]\n  21 [size=\"143998293\", alpha=\"0.02\", expect_size=\"43199488\"] \n  21 -> 23 [size =\"43199488\"]\n  21 -> 24 [size =\"43199488\"]\n  21 -> 25 [size =\"43199488\"]\n  21 -> 30 [size =\"43199488\"]\n  21 -> 31 [size =\"43199488\"]\n  21 -> 32 [size =\"43199488\"]\n  22 [size=\"51927040\", alpha=\"0.07\", expect_size=\"15578112\"] \n  22 -> 27 [size =\"15578112\"]\n  22 -> 28 [size =\"15578112\"]\n  22 -> 30 [size =\"15578112\"]\n  22 -> 30 [size =\"15578112\"]\n  22 -> 32 [size =\"15578112\"]\n  23 [size=\"155074560\", alpha=\"0.11\", expect_size=\"46522368\"] \n  23 -> 35 [size =\"46522368\"]\n  23 -> 36 [size =\"46522368\"]\n  23 -> 38 [size =\"46522368\"]\n  24 [size=\"56330240\", alpha=\"0.19\", expect_size=\"16899072\"] \n  24 -> 33 [size =\"16899072\"]\n  24 -> 35 [size =\"16899072\"]\n  24 -> 36 [size =\"16899072\"]\n  24 -> 38 [size =\"16899072\"]\n  25 [size=\"150913707\", alpha=\"0.17\", expect_size=\"45274112\"] \n  25 -> 37 [size =\"45274112\"]\n  25 -> 38 [size =\"45274112\"]\n  26 [size=\"135727787\", alpha=\"0.08\", expect_size=\"40718336\"] \n  26 -> 33 [size =\"40718336\"]\n  26 -> 35 [size =\"40718336\"]\n  26 -> 36 [size =\"40718336\"]\n  26 -> 37 [size =\"40718336\"]\n  27 [size=\"71062187\", alpha=\"0.19\", expect_size=\"21318656\"] \n  27 -> 35 [size =\"21318656\"]\n  27 -> 37 [size =\"21318656\"]\n  28 [size=\"38287360\", alpha=\"0.06\", expect_size=\"11486208\"] \n  28 -> 34 [size =\"11486208\"]\n  28 -> 36 [size =\"11486208\"]\n  28 -> 37 [size =\"11486208\"]\n  29 [size=\"167079253\", alpha=\"0.19\", expect_size=\"50123776\"] \n  29 -> 33 [size =\"50123776\"]\n  29 -> 35 [size =\"50123776\"]\n  30 [size=\"108564480\", alpha=\"0.07\", expect_size=\"32569344\"] \n  30 -> 35 [size =\"32569344\"]\n  30 -> 35 [size =\"32569344\"]\n  31 [size=\"70389760\", alpha=\"0.18\", expect_size=\"21116928\"] \n  31 -> 35 [size =\"21116928\"]\n  31 -> 38 [size =\"21116928\"]\n  32 [size=\"84691627\", alpha=\"0.17\", expect_size=\"25407488\"] \n  32 -> 35 [size =\"25407488\"]\n  32 -> 36 [size =\"25407488\"]\n  33 [size=\"136202240\", alpha=\"0.09\", expect_size=\"40860672\"] \n  33 -> 40 [size =\"40860672\"]\n  34 [size=\"68273493\", alpha=\"0.15\", expect_size=\"20482048\"] \n  34 -> 40 [size =\"20482048\"]\n  35 [size=\"59774293\", alpha=\"0.14\", expect_size=\"17932288\"] \n  35 -> 40 [size =\"17932288\"]\n  36 [size=\"32856747\", alpha=\"0.18\", expect_size=\"9857024\"] \n  37 [size=\"97252693\", alpha=\"0.17\", expect_size=\"29175808\"] \n  37 -> 39 [size =\"29175808\"]\n  37 -> 40 [size =\"29175808\"]\n  38 [size=\"87302827\", alpha=\"0.18\", expect_size=\"26190848\"] \n  38 -> 40 [size =\"26190848\"]\n  39 [size=\"132911787\", alpha=\"0.02\", expect_size=\"39873536\"] \n  40 [size=\"121419093\", alpha=\"0.16\", expect_size=\"36425728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24255147\", alpha=\"0.07\", expect_size=\"7276544\"] \n  1 -> 3 [size =\"7276544\"]\n  1 -> 4 [size =\"7276544\"]\n  2 [size=\"73072640\", alpha=\"0.19\", expect_size=\"21921792\"] \n  3 [size=\"127873707\", alpha=\"0.16\", expect_size=\"38362112\"] \n  4 [size=\"58429440\", alpha=\"0.06\", expect_size=\"17528832\"] \n  4 -> 5 [size =\"17528832\"]\n  4 -> 6 [size =\"17528832\"]\n  5 [size=\"84910080\", alpha=\"0.14\", expect_size=\"25473024\"] \n  5 -> 8 [size =\"25473024\"]\n  5 -> 9 [size =\"25473024\"]\n  6 [size=\"139414187\", alpha=\"0.08\", expect_size=\"41824256\"] \n  6 -> 7 [size =\"41824256\"]\n  6 -> 8 [size =\"41824256\"]\n  6 -> 9 [size =\"41824256\"]\n  7 [size=\"84206933\", alpha=\"0.14\", expect_size=\"25262080\"] \n  7 -> 10 [size =\"25262080\"]\n  7 -> 12 [size =\"25262080\"]\n  8 [size=\"80114347\", alpha=\"0.12\", expect_size=\"24034304\"] \n  8 -> 11 [size =\"24034304\"]\n  8 -> 12 [size =\"24034304\"]\n  9 [size=\"31102293\", alpha=\"0.13\", expect_size=\"9330688\"] \n  10 [size=\"56651093\", alpha=\"0.16\", expect_size=\"16995328\"] \n  10 -> 14 [size =\"16995328\"]\n  11 [size=\"37157547\", alpha=\"0.10\", expect_size=\"11147264\"] \n  11 -> 13 [size =\"11147264\"]\n  12 [size=\"95880533\", alpha=\"0.06\", expect_size=\"28764160\"] \n  13 [size=\"87947947\", alpha=\"0.10\", expect_size=\"26384384\"] \n  14 [size=\"53207040\", alpha=\"0.08\", expect_size=\"15962112\"] \n  14 -> 15 [size =\"15962112\"]\n  14 -> 16 [size =\"15962112\"]\n  15 [size=\"101635413\", alpha=\"0.19\", expect_size=\"30490624\"] \n  15 -> 17 [size =\"30490624\"]\n  15 -> 19 [size =\"30490624\"]\n  16 [size=\"57565867\", alpha=\"0.19\", expect_size=\"17269760\"] \n  16 -> 17 [size =\"17269760\"]\n  16 -> 18 [size =\"17269760\"]\n  17 [size=\"116906667\", alpha=\"0.02\", expect_size=\"35072000\"] \n  17 -> 20 [size =\"35072000\"]\n  18 [size=\"69847040\", alpha=\"0.05\", expect_size=\"20954112\"] \n  18 -> 20 [size =\"20954112\"]\n  18 -> 21 [size =\"20954112\"]\n  19 [size=\"166778880\", alpha=\"0.15\", expect_size=\"50033664\"] \n  20 [size=\"110370133\", alpha=\"0.18\", expect_size=\"33111040\"] \n  20 -> 22 [size =\"33111040\"]\n  20 -> 23 [size =\"33111040\"]\n  21 [size=\"78496427\", alpha=\"0.01\", expect_size=\"23548928\"] \n  21 -> 22 [size =\"23548928\"]\n  21 -> 23 [size =\"23548928\"]\n  21 -> 24 [size =\"23548928\"]\n  22 [size=\"156395520\", alpha=\"0.12\", expect_size=\"46918656\"] \n  22 -> 25 [size =\"46918656\"]\n  22 -> 27 [size =\"46918656\"]\n  23 [size=\"46404267\", alpha=\"0.16\", expect_size=\"13921280\"] \n  24 [size=\"121388373\", alpha=\"0.06\", expect_size=\"36416512\"] \n  24 -> 26 [size =\"36416512\"]\n  24 -> 27 [size =\"36416512\"]\n  25 [size=\"28938240\", alpha=\"0.04\", expect_size=\"8681472\"] \n  26 [size=\"24883200\", alpha=\"0.18\", expect_size=\"7464960\"] \n  26 -> 29 [size =\"7464960\"]\n  27 [size=\"19534507\", alpha=\"0.00\", expect_size=\"5860352\"] \n  27 -> 28 [size =\"5860352\"]\n  27 -> 29 [size =\"5860352\"]\n  28 [size=\"36635307\", alpha=\"0.10\", expect_size=\"10990592\"] \n  28 -> 31 [size =\"10990592\"]\n  29 [size=\"79308800\", alpha=\"0.02\", expect_size=\"23792640\"] \n  29 -> 30 [size =\"23792640\"]\n  30 [size=\"42929493\", alpha=\"0.19\", expect_size=\"12878848\"] \n  30 -> 32 [size =\"12878848\"]\n  31 [size=\"26361173\", alpha=\"0.19\", expect_size=\"7908352\"] \n  31 -> 33 [size =\"7908352\"]\n  32 [size=\"36392960\", alpha=\"0.08\", expect_size=\"10917888\"] \n  32 -> 34 [size =\"10917888\"]\n  33 [size=\"128617813\", alpha=\"0.07\", expect_size=\"38585344\"] \n  33 -> 34 [size =\"38585344\"]\n  33 -> 35 [size =\"38585344\"]\n  33 -> 36 [size =\"38585344\"]\n  34 [size=\"98867200\", alpha=\"0.10\", expect_size=\"29660160\"] \n  34 -> 37 [size =\"29660160\"]\n  35 [size=\"145377280\", alpha=\"0.03\", expect_size=\"43613184\"] \n  35 -> 38 [size =\"43613184\"]\n  36 [size=\"21015893\", alpha=\"0.02\", expect_size=\"6304768\"] \n  36 -> 37 [size =\"6304768\"]\n  36 -> 38 [size =\"6304768\"]\n  37 [size=\"162286933\", alpha=\"0.13\", expect_size=\"48686080\"] \n  37 -> 39 [size =\"48686080\"]\n  38 [size=\"164068693\", alpha=\"0.11\", expect_size=\"49220608\"] \n  38 -> 39 [size =\"49220608\"]\n  38 -> 40 [size =\"49220608\"]\n  39 [size=\"89006080\", alpha=\"0.08\", expect_size=\"26701824\"] \n  40 [size=\"108004693\", alpha=\"0.17\", expect_size=\"32401408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79472640\", alpha=\"0.01\", expect_size=\"39736320\"] \n  1 -> 5 [size =\"39736320\"]\n  2 [size=\"75329536\", alpha=\"0.08\", expect_size=\"37664768\"] \n  2 -> 4 [size =\"37664768\"]\n  2 -> 6 [size =\"37664768\"]\n  3 [size=\"90071040\", alpha=\"0.02\", expect_size=\"45035520\"] \n  3 -> 4 [size =\"45035520\"]\n  4 [size=\"31567872\", alpha=\"0.06\", expect_size=\"15783936\"] \n  5 [size=\"102561792\", alpha=\"0.05\", expect_size=\"51280896\"] \n  5 -> 7 [size =\"51280896\"]\n  5 -> 8 [size =\"51280896\"]\n  6 [size=\"67170304\", alpha=\"0.06\", expect_size=\"33585152\"] \n  6 -> 7 [size =\"33585152\"]\n  6 -> 8 [size =\"33585152\"]\n  7 [size=\"47656960\", alpha=\"0.08\", expect_size=\"23828480\"] \n  7 -> 11 [size =\"23828480\"]\n  8 [size=\"51445760\", alpha=\"0.10\", expect_size=\"25722880\"] \n  8 -> 9 [size =\"25722880\"]\n  8 -> 10 [size =\"25722880\"]\n  9 [size=\"58832896\", alpha=\"0.03\", expect_size=\"29416448\"] \n  9 -> 13 [size =\"29416448\"]\n  9 -> 14 [size =\"29416448\"]\n  10 [size=\"89014272\", alpha=\"0.05\", expect_size=\"44507136\"] \n  10 -> 13 [size =\"44507136\"]\n  11 [size=\"48033792\", alpha=\"0.07\", expect_size=\"24016896\"] \n  11 -> 12 [size =\"24016896\"]\n  11 -> 14 [size =\"24016896\"]\n  12 [size=\"54921216\", alpha=\"0.16\", expect_size=\"27460608\"] \n  13 [size=\"92698624\", alpha=\"0.05\", expect_size=\"46349312\"] \n  13 -> 15 [size =\"46349312\"]\n  13 -> 16 [size =\"46349312\"]\n  14 [size=\"103931904\", alpha=\"0.08\", expect_size=\"51965952\"] \n  14 -> 16 [size =\"51965952\"]\n  15 [size=\"38535168\", alpha=\"0.09\", expect_size=\"19267584\"] \n  15 -> 17 [size =\"19267584\"]\n  15 -> 18 [size =\"19267584\"]\n  16 [size=\"64096256\", alpha=\"0.03\", expect_size=\"32048128\"] \n  17 [size=\"92536832\", alpha=\"0.07\", expect_size=\"46268416\"] \n  17 -> 19 [size =\"46268416\"]\n  17 -> 20 [size =\"46268416\"]\n  17 -> 21 [size =\"46268416\"]\n  18 [size=\"34840576\", alpha=\"0.03\", expect_size=\"17420288\"] \n  18 -> 19 [size =\"17420288\"]\n  19 [size=\"83271680\", alpha=\"0.03\", expect_size=\"41635840\"] \n  19 -> 22 [size =\"41635840\"]\n  20 [size=\"98783232\", alpha=\"0.17\", expect_size=\"49391616\"] \n  21 [size=\"29657088\", alpha=\"0.07\", expect_size=\"14828544\"] \n  21 -> 23 [size =\"14828544\"]\n  22 [size=\"60706816\", alpha=\"0.10\", expect_size=\"30353408\"] \n  22 -> 24 [size =\"30353408\"]\n  23 [size=\"43272192\", alpha=\"0.10\", expect_size=\"21636096\"] \n  23 -> 25 [size =\"21636096\"]\n  24 [size=\"66433024\", alpha=\"0.14\", expect_size=\"33216512\"] \n  24 -> 26 [size =\"33216512\"]\n  24 -> 27 [size =\"33216512\"]\n  25 [size=\"10643456\", alpha=\"0.18\", expect_size=\"5321728\"] \n  25 -> 26 [size =\"5321728\"]\n  25 -> 27 [size =\"5321728\"]\n  26 [size=\"52723712\", alpha=\"0.14\", expect_size=\"26361856\"] \n  26 -> 29 [size =\"26361856\"]\n  26 -> 30 [size =\"26361856\"]\n  27 [size=\"67084288\", alpha=\"0.18\", expect_size=\"33542144\"] \n  27 -> 28 [size =\"33542144\"]\n  28 [size=\"102141952\", alpha=\"0.11\", expect_size=\"51070976\"] \n  28 -> 32 [size =\"51070976\"]\n  29 [size=\"21917696\", alpha=\"0.14\", expect_size=\"10958848\"] \n  29 -> 32 [size =\"10958848\"]\n  30 [size=\"34179072\", alpha=\"0.13\", expect_size=\"17089536\"] \n  30 -> 31 [size =\"17089536\"]\n  31 [size=\"21815296\", alpha=\"0.01\", expect_size=\"10907648\"] \n  31 -> 34 [size =\"10907648\"]\n  31 -> 35 [size =\"10907648\"]\n  32 [size=\"53815296\", alpha=\"0.17\", expect_size=\"26907648\"] \n  32 -> 33 [size =\"26907648\"]\n  33 [size=\"100648960\", alpha=\"0.12\", expect_size=\"50324480\"] \n  33 -> 36 [size =\"50324480\"]\n  33 -> 37 [size =\"50324480\"]\n  34 [size=\"53164032\", alpha=\"0.06\", expect_size=\"26582016\"] \n  34 -> 36 [size =\"26582016\"]\n  35 [size=\"26810368\", alpha=\"0.06\", expect_size=\"13405184\"] \n  36 [size=\"19292160\", alpha=\"0.17\", expect_size=\"9646080\"] \n  37 [size=\"87300096\", alpha=\"0.06\", expect_size=\"43650048\"] \n  37 -> 38 [size =\"43650048\"]\n  37 -> 39 [size =\"43650048\"]\n  37 -> 40 [size =\"43650048\"]\n  38 [size=\"79257600\", alpha=\"0.20\", expect_size=\"39628800\"] \n  39 [size=\"36128768\", alpha=\"0.09\", expect_size=\"18064384\"] \n  40 [size=\"100630528\", alpha=\"0.17\", expect_size=\"50315264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94528853\", alpha=\"0.02\", expect_size=\"28358656\"] \n  2 [size=\"90603520\", alpha=\"0.13\", expect_size=\"27181056\"] \n  2 -> 3 [size =\"27181056\"]\n  2 -> 4 [size =\"27181056\"]\n  2 -> 5 [size =\"27181056\"]\n  3 [size=\"98461013\", alpha=\"0.03\", expect_size=\"29538304\"] \n  3 -> 6 [size =\"29538304\"]\n  3 -> 7 [size =\"29538304\"]\n  4 [size=\"109482667\", alpha=\"0.02\", expect_size=\"32844800\"] \n  4 -> 7 [size =\"32844800\"]\n  5 [size=\"128423253\", alpha=\"0.03\", expect_size=\"38526976\"] \n  6 [size=\"19176107\", alpha=\"0.03\", expect_size=\"5752832\"] \n  6 -> 8 [size =\"5752832\"]\n  6 -> 9 [size =\"5752832\"]\n  6 -> 10 [size =\"5752832\"]\n  7 [size=\"40622080\", alpha=\"0.01\", expect_size=\"12186624\"] \n  8 [size=\"123883520\", alpha=\"0.04\", expect_size=\"37165056\"] \n  8 -> 11 [size =\"37165056\"]\n  8 -> 12 [size =\"37165056\"]\n  9 [size=\"161017173\", alpha=\"0.18\", expect_size=\"48305152\"] \n  9 -> 13 [size =\"48305152\"]\n  10 [size=\"157177173\", alpha=\"0.16\", expect_size=\"47153152\"] \n  10 -> 11 [size =\"47153152\"]\n  11 [size=\"92221440\", alpha=\"0.18\", expect_size=\"27666432\"] \n  11 -> 14 [size =\"27666432\"]\n  12 [size=\"106519893\", alpha=\"0.08\", expect_size=\"31955968\"] \n  12 -> 16 [size =\"31955968\"]\n  13 [size=\"48663893\", alpha=\"0.03\", expect_size=\"14599168\"] \n  13 -> 15 [size =\"14599168\"]\n  13 -> 16 [size =\"14599168\"]\n  14 [size=\"76025173\", alpha=\"0.17\", expect_size=\"22807552\"] \n  14 -> 17 [size =\"22807552\"]\n  15 [size=\"89425920\", alpha=\"0.01\", expect_size=\"26827776\"] \n  15 -> 19 [size =\"26827776\"]\n  16 [size=\"115828053\", alpha=\"0.11\", expect_size=\"34748416\"] \n  16 -> 17 [size =\"34748416\"]\n  16 -> 18 [size =\"34748416\"]\n  17 [size=\"141701120\", alpha=\"0.20\", expect_size=\"42510336\"] \n  17 -> 21 [size =\"42510336\"]\n  18 [size=\"149128533\", alpha=\"0.04\", expect_size=\"44738560\"] \n  18 -> 20 [size =\"44738560\"]\n  19 [size=\"23101440\", alpha=\"0.04\", expect_size=\"6930432\"] \n  20 [size=\"168151040\", alpha=\"0.16\", expect_size=\"50445312\"] \n  20 -> 22 [size =\"50445312\"]\n  21 [size=\"134918827\", alpha=\"0.17\", expect_size=\"40475648\"] \n  21 -> 23 [size =\"40475648\"]\n  22 [size=\"117295787\", alpha=\"0.09\", expect_size=\"35188736\"] \n  22 -> 25 [size =\"35188736\"]\n  23 [size=\"23736320\", alpha=\"0.10\", expect_size=\"7120896\"] \n  23 -> 24 [size =\"7120896\"]\n  23 -> 26 [size =\"7120896\"]\n  24 [size=\"49237333\", alpha=\"0.03\", expect_size=\"14771200\"] \n  24 -> 28 [size =\"14771200\"]\n  24 -> 29 [size =\"14771200\"]\n  25 [size=\"26289493\", alpha=\"0.10\", expect_size=\"7886848\"] \n  25 -> 27 [size =\"7886848\"]\n  26 [size=\"30545920\", alpha=\"0.17\", expect_size=\"9163776\"] \n  26 -> 28 [size =\"9163776\"]\n  27 [size=\"116165973\", alpha=\"0.08\", expect_size=\"34849792\"] \n  27 -> 31 [size =\"34849792\"]\n  27 -> 32 [size =\"34849792\"]\n  28 [size=\"115858773\", alpha=\"0.12\", expect_size=\"34757632\"] \n  28 -> 30 [size =\"34757632\"]\n  28 -> 32 [size =\"34757632\"]\n  29 [size=\"150046720\", alpha=\"0.14\", expect_size=\"45014016\"] \n  30 [size=\"22357333\", alpha=\"0.14\", expect_size=\"6707200\"] \n  30 -> 33 [size =\"6707200\"]\n  30 -> 34 [size =\"6707200\"]\n  30 -> 35 [size =\"6707200\"]\n  31 [size=\"145954133\", alpha=\"0.03\", expect_size=\"43786240\"] \n  31 -> 34 [size =\"43786240\"]\n  32 [size=\"126030507\", alpha=\"0.04\", expect_size=\"37809152\"] \n  32 -> 33 [size =\"37809152\"]\n  33 [size=\"35720533\", alpha=\"0.08\", expect_size=\"10716160\"] \n  33 -> 37 [size =\"10716160\"]\n  33 -> 38 [size =\"10716160\"]\n  34 [size=\"113295360\", alpha=\"0.00\", expect_size=\"33988608\"] \n  34 -> 36 [size =\"33988608\"]\n  34 -> 37 [size =\"33988608\"]\n  35 [size=\"136192000\", alpha=\"0.02\", expect_size=\"40857600\"] \n  35 -> 36 [size =\"40857600\"]\n  36 [size=\"58067627\", alpha=\"0.15\", expect_size=\"17420288\"] \n  37 [size=\"37911893\", alpha=\"0.05\", expect_size=\"11373568\"] \n  37 -> 40 [size =\"11373568\"]\n  38 [size=\"98867200\", alpha=\"0.11\", expect_size=\"29660160\"] \n  38 -> 39 [size =\"29660160\"]\n  38 -> 40 [size =\"29660160\"]\n  39 [size=\"32778240\", alpha=\"0.18\", expect_size=\"9833472\"] \n  40 [size=\"140472320\", alpha=\"0.04\", expect_size=\"42141696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55664640\", alpha=\"0.15\", expect_size=\"16699392\"] \n  1 -> 29 [size =\"16699392\"]\n  1 -> 32 [size =\"16699392\"]\n  1 -> 38 [size =\"16699392\"]\n  2 [size=\"91791360\", alpha=\"0.15\", expect_size=\"27537408\"] \n  2 -> 29 [size =\"27537408\"]\n  2 -> 31 [size =\"27537408\"]\n  2 -> 32 [size =\"27537408\"]\n  2 -> 33 [size =\"27537408\"]\n  2 -> 38 [size =\"27537408\"]\n  2 -> 40 [size =\"27537408\"]\n  3 [size=\"72355840\", alpha=\"0.15\", expect_size=\"21706752\"] \n  3 -> 29 [size =\"21706752\"]\n  3 -> 32 [size =\"21706752\"]\n  3 -> 35 [size =\"21706752\"]\n  4 [size=\"64925013\", alpha=\"0.09\", expect_size=\"19477504\"] \n  4 -> 29 [size =\"19477504\"]\n  4 -> 34 [size =\"19477504\"]\n  4 -> 35 [size =\"19477504\"]\n  4 -> 38 [size =\"19477504\"]\n  5 [size=\"107618987\", alpha=\"0.09\", expect_size=\"32285696\"] \n  5 -> 29 [size =\"32285696\"]\n  5 -> 35 [size =\"32285696\"]\n  5 -> 40 [size =\"32285696\"]\n  6 [size=\"115462827\", alpha=\"0.07\", expect_size=\"34638848\"] \n  6 -> 36 [size =\"34638848\"]\n  6 -> 40 [size =\"34638848\"]\n  7 [size=\"61713067\", alpha=\"0.03\", expect_size=\"18513920\"] \n  7 -> 34 [size =\"18513920\"]\n  7 -> 38 [size =\"18513920\"]\n  7 -> 39 [size =\"18513920\"]\n  7 -> 40 [size =\"18513920\"]\n  8 [size=\"162420053\", alpha=\"0.03\", expect_size=\"48726016\"] \n  8 -> 29 [size =\"48726016\"]\n  8 -> 34 [size =\"48726016\"]\n  8 -> 36 [size =\"48726016\"]\n  8 -> 37 [size =\"48726016\"]\n  8 -> 38 [size =\"48726016\"]\n  8 -> 40 [size =\"48726016\"]\n  9 [size=\"19230720\", alpha=\"0.07\", expect_size=\"5769216\"] \n  9 -> 32 [size =\"5769216\"]\n  9 -> 34 [size =\"5769216\"]\n  9 -> 35 [size =\"5769216\"]\n  9 -> 36 [size =\"5769216\"]\n  9 -> 37 [size =\"5769216\"]\n  9 -> 38 [size =\"5769216\"]\n  9 -> 40 [size =\"5769216\"]\n  10 [size=\"143813973\", alpha=\"0.18\", expect_size=\"43144192\"] \n  10 -> 29 [size =\"43144192\"]\n  10 -> 32 [size =\"43144192\"]\n  10 -> 35 [size =\"43144192\"]\n  10 -> 36 [size =\"43144192\"]\n  11 [size=\"116176213\", alpha=\"0.10\", expect_size=\"34852864\"] \n  11 -> 29 [size =\"34852864\"]\n  11 -> 33 [size =\"34852864\"]\n  11 -> 35 [size =\"34852864\"]\n  11 -> 40 [size =\"34852864\"]\n  12 [size=\"77250560\", alpha=\"0.10\", expect_size=\"23175168\"] \n  12 -> 29 [size =\"23175168\"]\n  12 -> 34 [size =\"23175168\"]\n  12 -> 38 [size =\"23175168\"]\n  13 [size=\"36908373\", alpha=\"0.18\", expect_size=\"11072512\"] \n  13 -> 29 [size =\"11072512\"]\n  13 -> 34 [size =\"11072512\"]\n  13 -> 35 [size =\"11072512\"]\n  13 -> 40 [size =\"11072512\"]\n  14 [size=\"154030080\", alpha=\"0.17\", expect_size=\"46209024\"] \n  14 -> 36 [size =\"46209024\"]\n  14 -> 40 [size =\"46209024\"]\n  15 [size=\"71082667\", alpha=\"0.15\", expect_size=\"21324800\"] \n  15 -> 34 [size =\"21324800\"]\n  15 -> 38 [size =\"21324800\"]\n  16 [size=\"144285013\", alpha=\"0.12\", expect_size=\"43285504\"] \n  16 -> 29 [size =\"43285504\"]\n  16 -> 34 [size =\"43285504\"]\n  16 -> 36 [size =\"43285504\"]\n  16 -> 37 [size =\"43285504\"]\n  16 -> 39 [size =\"43285504\"]\n  17 [size=\"41140907\", alpha=\"0.15\", expect_size=\"12342272\"] \n  18 [size=\"67317760\", alpha=\"0.16\", expect_size=\"20195328\"] \n  18 -> 29 [size =\"20195328\"]\n  18 -> 34 [size =\"20195328\"]\n  19 [size=\"91685547\", alpha=\"0.08\", expect_size=\"27505664\"] \n  19 -> 29 [size =\"27505664\"]\n  19 -> 34 [size =\"27505664\"]\n  20 [size=\"148773547\", alpha=\"0.13\", expect_size=\"44632064\"] \n  20 -> 30 [size =\"44632064\"]\n  20 -> 34 [size =\"44632064\"]\n  20 -> 36 [size =\"44632064\"]\n  20 -> 38 [size =\"44632064\"]\n  21 [size=\"136922453\", alpha=\"0.02\", expect_size=\"41076736\"] \n  21 -> 32 [size =\"41076736\"]\n  21 -> 34 [size =\"41076736\"]\n  21 -> 36 [size =\"41076736\"]\n  22 [size=\"58589867\", alpha=\"0.02\", expect_size=\"17576960\"] \n  22 -> 36 [size =\"17576960\"]\n  22 -> 38 [size =\"17576960\"]\n  23 [size=\"135734613\", alpha=\"0.08\", expect_size=\"40720384\"] \n  23 -> 36 [size =\"40720384\"]\n  23 -> 38 [size =\"40720384\"]\n  24 [size=\"121941333\", alpha=\"0.00\", expect_size=\"36582400\"] \n  24 -> 32 [size =\"36582400\"]\n  24 -> 35 [size =\"36582400\"]\n  24 -> 36 [size =\"36582400\"]\n  25 [size=\"97235627\", alpha=\"0.04\", expect_size=\"29170688\"] \n  25 -> 29 [size =\"29170688\"]\n  25 -> 32 [size =\"29170688\"]\n  25 -> 35 [size =\"29170688\"]\n  25 -> 37 [size =\"29170688\"]\n  26 [size=\"58477227\", alpha=\"0.00\", expect_size=\"17543168\"] \n  26 -> 33 [size =\"17543168\"]\n  26 -> 38 [size =\"17543168\"]\n  27 [size=\"153931093\", alpha=\"0.02\", expect_size=\"46179328\"] \n  27 -> 38 [size =\"46179328\"]\n  28 [size=\"111882240\", alpha=\"0.02\", expect_size=\"33564672\"] \n  28 -> 36 [size =\"33564672\"]\n  28 -> 38 [size =\"33564672\"]\n  29 [size=\"77260800\", alpha=\"0.03\", expect_size=\"23178240\"] \n  30 [size=\"137052160\", alpha=\"0.19\", expect_size=\"41115648\"] \n  31 [size=\"78510080\", alpha=\"0.08\", expect_size=\"23553024\"] \n  32 [size=\"97116160\", alpha=\"0.05\", expect_size=\"29134848\"] \n  33 [size=\"109902507\", alpha=\"0.04\", expect_size=\"32970752\"] \n  34 [size=\"171741867\", alpha=\"0.01\", expect_size=\"51522560\"] \n  35 [size=\"172806827\", alpha=\"0.04\", expect_size=\"51842048\"] \n  36 [size=\"45953707\", alpha=\"0.03\", expect_size=\"13786112\"] \n  37 [size=\"46458880\", alpha=\"0.06\", expect_size=\"13937664\"] \n  38 [size=\"61269333\", alpha=\"0.15\", expect_size=\"18380800\"] \n  39 [size=\"78049280\", alpha=\"0.13\", expect_size=\"23414784\"] \n  40 [size=\"98549760\", alpha=\"0.08\", expect_size=\"29564928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59631616\", alpha=\"0.06\", expect_size=\"29815808\"] \n  1 -> 3 [size =\"29815808\"]\n  1 -> 4 [size =\"29815808\"]\n  2 [size=\"50726912\", alpha=\"0.16\", expect_size=\"25363456\"] \n  2 -> 5 [size =\"25363456\"]\n  3 [size=\"68685824\", alpha=\"0.02\", expect_size=\"34342912\"] \n  4 [size=\"79038464\", alpha=\"0.19\", expect_size=\"39519232\"] \n  4 -> 7 [size =\"39519232\"]\n  5 [size=\"14815232\", alpha=\"0.04\", expect_size=\"7407616\"] \n  5 -> 6 [size =\"7407616\"]\n  5 -> 7 [size =\"7407616\"]\n  6 [size=\"55054336\", alpha=\"0.04\", expect_size=\"27527168\"] \n  6 -> 10 [size =\"27527168\"]\n  7 [size=\"48670720\", alpha=\"0.04\", expect_size=\"24335360\"] \n  7 -> 8 [size =\"24335360\"]\n  7 -> 9 [size =\"24335360\"]\n  8 [size=\"21897216\", alpha=\"0.13\", expect_size=\"10948608\"] \n  8 -> 12 [size =\"10948608\"]\n  8 -> 13 [size =\"10948608\"]\n  9 [size=\"70971392\", alpha=\"0.01\", expect_size=\"35485696\"] \n  9 -> 11 [size =\"35485696\"]\n  10 [size=\"76994560\", alpha=\"0.01\", expect_size=\"38497280\"] \n  10 -> 12 [size =\"38497280\"]\n  10 -> 13 [size =\"38497280\"]\n  11 [size=\"78034944\", alpha=\"0.09\", expect_size=\"39017472\"] \n  11 -> 16 [size =\"39017472\"]\n  12 [size=\"12484608\", alpha=\"0.19\", expect_size=\"6242304\"] \n  13 [size=\"88330240\", alpha=\"0.02\", expect_size=\"44165120\"] \n  13 -> 14 [size =\"44165120\"]\n  13 -> 15 [size =\"44165120\"]\n  13 -> 16 [size =\"44165120\"]\n  14 [size=\"98220032\", alpha=\"0.04\", expect_size=\"49110016\"] \n  14 -> 18 [size =\"49110016\"]\n  14 -> 19 [size =\"49110016\"]\n  15 [size=\"91613184\", alpha=\"0.14\", expect_size=\"45806592\"] \n  15 -> 17 [size =\"45806592\"]\n  16 [size=\"17063936\", alpha=\"0.00\", expect_size=\"8531968\"] \n  16 -> 19 [size =\"8531968\"]\n  17 [size=\"37511168\", alpha=\"0.01\", expect_size=\"18755584\"] \n  18 [size=\"57143296\", alpha=\"0.19\", expect_size=\"28571648\"] \n  18 -> 20 [size =\"28571648\"]\n  18 -> 22 [size =\"28571648\"]\n  19 [size=\"26298368\", alpha=\"0.12\", expect_size=\"13149184\"] \n  19 -> 21 [size =\"13149184\"]\n  19 -> 22 [size =\"13149184\"]\n  20 [size=\"31754240\", alpha=\"0.11\", expect_size=\"15877120\"] \n  20 -> 23 [size =\"15877120\"]\n  21 [size=\"38273024\", alpha=\"0.00\", expect_size=\"19136512\"] \n  22 [size=\"80885760\", alpha=\"0.18\", expect_size=\"40442880\"] \n  22 -> 24 [size =\"40442880\"]\n  23 [size=\"78176256\", alpha=\"0.09\", expect_size=\"39088128\"] \n  24 [size=\"87205888\", alpha=\"0.13\", expect_size=\"43602944\"] \n  24 -> 25 [size =\"43602944\"]\n  24 -> 26 [size =\"43602944\"]\n  24 -> 27 [size =\"43602944\"]\n  25 [size=\"11710464\", alpha=\"0.19\", expect_size=\"5855232\"] \n  26 [size=\"76322816\", alpha=\"0.14\", expect_size=\"38161408\"] \n  26 -> 28 [size =\"38161408\"]\n  26 -> 30 [size =\"38161408\"]\n  27 [size=\"77623296\", alpha=\"0.17\", expect_size=\"38811648\"] \n  27 -> 28 [size =\"38811648\"]\n  27 -> 29 [size =\"38811648\"]\n  28 [size=\"80080896\", alpha=\"0.03\", expect_size=\"40040448\"] \n  28 -> 31 [size =\"40040448\"]\n  29 [size=\"74481664\", alpha=\"0.01\", expect_size=\"37240832\"] \n  29 -> 31 [size =\"37240832\"]\n  29 -> 32 [size =\"37240832\"]\n  30 [size=\"37447680\", alpha=\"0.14\", expect_size=\"18723840\"] \n  31 [size=\"89778176\", alpha=\"0.01\", expect_size=\"44889088\"] \n  31 -> 33 [size =\"44889088\"]\n  31 -> 34 [size =\"44889088\"]\n  32 [size=\"91875328\", alpha=\"0.08\", expect_size=\"45937664\"] \n  33 [size=\"83984384\", alpha=\"0.12\", expect_size=\"41992192\"] \n  33 -> 35 [size =\"41992192\"]\n  34 [size=\"29933568\", alpha=\"0.14\", expect_size=\"14966784\"] \n  34 -> 36 [size =\"14966784\"]\n  35 [size=\"92649472\", alpha=\"0.14\", expect_size=\"46324736\"] \n  36 [size=\"87717888\", alpha=\"0.15\", expect_size=\"43858944\"] \n  36 -> 37 [size =\"43858944\"]\n  36 -> 38 [size =\"43858944\"]\n  37 [size=\"59709440\", alpha=\"0.01\", expect_size=\"29854720\"] \n  37 -> 39 [size =\"29854720\"]\n  37 -> 40 [size =\"29854720\"]\n  38 [size=\"46807040\", alpha=\"0.18\", expect_size=\"23403520\"] \n  39 [size=\"60424192\", alpha=\"0.18\", expect_size=\"30212096\"] \n  40 [size=\"66674688\", alpha=\"0.02\", expect_size=\"33337344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139724800\", alpha=\"0.13\", expect_size=\"41917440\"] \n  1 -> 5 [size =\"41917440\"]\n  2 [size=\"38382933\", alpha=\"0.16\", expect_size=\"11514880\"] \n  2 -> 6 [size =\"11514880\"]\n  3 [size=\"98665813\", alpha=\"0.19\", expect_size=\"29599744\"] \n  3 -> 7 [size =\"29599744\"]\n  3 -> 8 [size =\"29599744\"]\n  4 [size=\"70481920\", alpha=\"0.01\", expect_size=\"21144576\"] \n  4 -> 5 [size =\"21144576\"]\n  4 -> 8 [size =\"21144576\"]\n  5 [size=\"140745387\", alpha=\"0.15\", expect_size=\"42223616\"] \n  5 -> 10 [size =\"42223616\"]\n  6 [size=\"33788587\", alpha=\"0.04\", expect_size=\"10136576\"] \n  6 -> 9 [size =\"10136576\"]\n  6 -> 11 [size =\"10136576\"]\n  6 -> 12 [size =\"10136576\"]\n  7 [size=\"41676800\", alpha=\"0.12\", expect_size=\"12503040\"] \n  7 -> 9 [size =\"12503040\"]\n  7 -> 10 [size =\"12503040\"]\n  8 [size=\"63668907\", alpha=\"0.16\", expect_size=\"19100672\"] \n  8 -> 9 [size =\"19100672\"]\n  9 [size=\"70181547\", alpha=\"0.08\", expect_size=\"21054464\"] \n  9 -> 15 [size =\"21054464\"]\n  10 [size=\"82169173\", alpha=\"0.14\", expect_size=\"24650752\"] \n  10 -> 15 [size =\"24650752\"]\n  11 [size=\"110738773\", alpha=\"0.10\", expect_size=\"33221632\"] \n  11 -> 13 [size =\"33221632\"]\n  11 -> 14 [size =\"33221632\"]\n  11 -> 15 [size =\"33221632\"]\n  11 -> 16 [size =\"33221632\"]\n  12 [size=\"54391467\", alpha=\"0.01\", expect_size=\"16317440\"] \n  12 -> 13 [size =\"16317440\"]\n  13 [size=\"22688427\", alpha=\"0.19\", expect_size=\"6806528\"] \n  13 -> 17 [size =\"6806528\"]\n  14 [size=\"171161600\", alpha=\"0.20\", expect_size=\"51348480\"] \n  14 -> 17 [size =\"51348480\"]\n  14 -> 20 [size =\"51348480\"]\n  15 [size=\"22056960\", alpha=\"0.00\", expect_size=\"6617088\"] \n  15 -> 18 [size =\"6617088\"]\n  16 [size=\"140427947\", alpha=\"0.04\", expect_size=\"42128384\"] \n  16 -> 17 [size =\"42128384\"]\n  16 -> 19 [size =\"42128384\"]\n  16 -> 20 [size =\"42128384\"]\n  17 [size=\"172957013\", alpha=\"0.19\", expect_size=\"51887104\"] \n  17 -> 21 [size =\"51887104\"]\n  17 -> 22 [size =\"51887104\"]\n  17 -> 23 [size =\"51887104\"]\n  17 -> 24 [size =\"51887104\"]\n  17 -> 26 [size =\"51887104\"]\n  18 [size=\"113172480\", alpha=\"0.15\", expect_size=\"33951744\"] \n  18 -> 22 [size =\"33951744\"]\n  18 -> 23 [size =\"33951744\"]\n  18 -> 26 [size =\"33951744\"]\n  19 [size=\"77844480\", alpha=\"0.13\", expect_size=\"23353344\"] \n  19 -> 23 [size =\"23353344\"]\n  19 -> 24 [size =\"23353344\"]\n  19 -> 25 [size =\"23353344\"]\n  20 [size=\"143254187\", alpha=\"0.13\", expect_size=\"42976256\"] \n  20 -> 21 [size =\"42976256\"]\n  20 -> 22 [size =\"42976256\"]\n  20 -> 24 [size =\"42976256\"]\n  20 -> 25 [size =\"42976256\"]\n  20 -> 26 [size =\"42976256\"]\n  21 [size=\"94136320\", alpha=\"0.09\", expect_size=\"28240896\"] \n  21 -> 28 [size =\"28240896\"]\n  21 -> 30 [size =\"28240896\"]\n  22 [size=\"170048853\", alpha=\"0.08\", expect_size=\"51014656\"] \n  23 [size=\"18944000\", alpha=\"0.17\", expect_size=\"5683200\"] \n  23 -> 29 [size =\"5683200\"]\n  24 [size=\"170755413\", alpha=\"0.13\", expect_size=\"51226624\"] \n  24 -> 27 [size =\"51226624\"]\n  24 -> 28 [size =\"51226624\"]\n  25 [size=\"166853973\", alpha=\"0.04\", expect_size=\"50056192\"] \n  25 -> 29 [size =\"50056192\"]\n  26 [size=\"170547200\", alpha=\"0.17\", expect_size=\"51164160\"] \n  26 -> 28 [size =\"51164160\"]\n  26 -> 29 [size =\"51164160\"]\n  27 [size=\"41472000\", alpha=\"0.14\", expect_size=\"12441600\"] \n  27 -> 31 [size =\"12441600\"]\n  28 [size=\"32320853\", alpha=\"0.16\", expect_size=\"9696256\"] \n  28 -> 31 [size =\"9696256\"]\n  28 -> 32 [size =\"9696256\"]\n  28 -> 33 [size =\"9696256\"]\n  28 -> 34 [size =\"9696256\"]\n  29 [size=\"153494187\", alpha=\"0.05\", expect_size=\"46048256\"] \n  29 -> 31 [size =\"46048256\"]\n  29 -> 33 [size =\"46048256\"]\n  29 -> 34 [size =\"46048256\"]\n  30 [size=\"99485013\", alpha=\"0.02\", expect_size=\"29845504\"] \n  30 -> 33 [size =\"29845504\"]\n  30 -> 34 [size =\"29845504\"]\n  31 [size=\"48363520\", alpha=\"0.11\", expect_size=\"14509056\"] \n  31 -> 35 [size =\"14509056\"]\n  31 -> 39 [size =\"14509056\"]\n  32 [size=\"122374827\", alpha=\"0.05\", expect_size=\"36712448\"] \n  32 -> 35 [size =\"36712448\"]\n  32 -> 36 [size =\"36712448\"]\n  32 -> 37 [size =\"36712448\"]\n  33 [size=\"27856213\", alpha=\"0.20\", expect_size=\"8356864\"] \n  33 -> 35 [size =\"8356864\"]\n  34 [size=\"160573440\", alpha=\"0.14\", expect_size=\"48172032\"] \n  34 -> 37 [size =\"48172032\"]\n  34 -> 38 [size =\"48172032\"]\n  34 -> 39 [size =\"48172032\"]\n  35 [size=\"101672960\", alpha=\"0.08\", expect_size=\"30501888\"] \n  36 [size=\"131713707\", alpha=\"0.19\", expect_size=\"39514112\"] \n  37 [size=\"109721600\", alpha=\"0.09\", expect_size=\"32916480\"] \n  37 -> 40 [size =\"32916480\"]\n  38 [size=\"59893760\", alpha=\"0.11\", expect_size=\"17968128\"] \n  39 [size=\"28429653\", alpha=\"0.01\", expect_size=\"8528896\"] \n  39 -> 40 [size =\"8528896\"]\n  40 [size=\"68037973\", alpha=\"0.06\", expect_size=\"20411392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102036480\", alpha=\"0.18\", expect_size=\"40814592\"] \n  1 -> 23 [size =\"40814592\"]\n  1 -> 27 [size =\"40814592\"]\n  1 -> 28 [size =\"40814592\"]\n  1 -> 30 [size =\"40814592\"]\n  1 -> 31 [size =\"40814592\"]\n  1 -> 34 [size =\"40814592\"]\n  1 -> 34 [size =\"40814592\"]\n  1 -> 35 [size =\"40814592\"]\n  1 -> 36 [size =\"40814592\"]\n  1 -> 38 [size =\"40814592\"]\n  1 -> 39 [size =\"40814592\"]\n  1 -> 40 [size =\"40814592\"]\n  2 [size=\"80821760\", alpha=\"0.04\", expect_size=\"32328704\"] \n  2 -> 23 [size =\"32328704\"]\n  2 -> 25 [size =\"32328704\"]\n  2 -> 26 [size =\"32328704\"]\n  2 -> 27 [size =\"32328704\"]\n  2 -> 28 [size =\"32328704\"]\n  2 -> 29 [size =\"32328704\"]\n  2 -> 30 [size =\"32328704\"]\n  2 -> 32 [size =\"32328704\"]\n  2 -> 35 [size =\"32328704\"]\n  2 -> 36 [size =\"32328704\"]\n  2 -> 38 [size =\"32328704\"]\n  2 -> 39 [size =\"32328704\"]\n  3 [size=\"116124160\", alpha=\"0.16\", expect_size=\"46449664\"] \n  3 -> 23 [size =\"46449664\"]\n  3 -> 24 [size =\"46449664\"]\n  3 -> 26 [size =\"46449664\"]\n  3 -> 29 [size =\"46449664\"]\n  3 -> 35 [size =\"46449664\"]\n  3 -> 36 [size =\"46449664\"]\n  3 -> 38 [size =\"46449664\"]\n  4 [size=\"25784320\", alpha=\"0.15\", expect_size=\"10313728\"] \n  4 -> 23 [size =\"10313728\"]\n  4 -> 24 [size =\"10313728\"]\n  4 -> 26 [size =\"10313728\"]\n  4 -> 27 [size =\"10313728\"]\n  4 -> 29 [size =\"10313728\"]\n  4 -> 34 [size =\"10313728\"]\n  4 -> 35 [size =\"10313728\"]\n  4 -> 36 [size =\"10313728\"]\n  4 -> 38 [size =\"10313728\"]\n  4 -> 39 [size =\"10313728\"]\n  5 [size=\"16253440\", alpha=\"0.17\", expect_size=\"6501376\"] \n  5 -> 24 [size =\"6501376\"]\n  5 -> 26 [size =\"6501376\"]\n  5 -> 26 [size =\"6501376\"]\n  5 -> 27 [size =\"6501376\"]\n  5 -> 28 [size =\"6501376\"]\n  5 -> 29 [size =\"6501376\"]\n  5 -> 31 [size =\"6501376\"]\n  5 -> 32 [size =\"6501376\"]\n  5 -> 34 [size =\"6501376\"]\n  5 -> 40 [size =\"6501376\"]\n  6 [size=\"123863040\", alpha=\"0.03\", expect_size=\"49545216\"] \n  6 -> 24 [size =\"49545216\"]\n  6 -> 25 [size =\"49545216\"]\n  6 -> 26 [size =\"49545216\"]\n  6 -> 27 [size =\"49545216\"]\n  6 -> 28 [size =\"49545216\"]\n  6 -> 30 [size =\"49545216\"]\n  6 -> 31 [size =\"49545216\"]\n  6 -> 33 [size =\"49545216\"]\n  6 -> 34 [size =\"49545216\"]\n  6 -> 35 [size =\"49545216\"]\n  6 -> 36 [size =\"49545216\"]\n  6 -> 37 [size =\"49545216\"]\n  6 -> 38 [size =\"49545216\"]\n  6 -> 39 [size =\"49545216\"]\n  6 -> 40 [size =\"49545216\"]\n  7 [size=\"88181760\", alpha=\"0.13\", expect_size=\"35272704\"] \n  7 -> 24 [size =\"35272704\"]\n  7 -> 26 [size =\"35272704\"]\n  7 -> 27 [size =\"35272704\"]\n  7 -> 28 [size =\"35272704\"]\n  7 -> 30 [size =\"35272704\"]\n  7 -> 33 [size =\"35272704\"]\n  7 -> 34 [size =\"35272704\"]\n  7 -> 36 [size =\"35272704\"]\n  7 -> 38 [size =\"35272704\"]\n  7 -> 39 [size =\"35272704\"]\n  7 -> 40 [size =\"35272704\"]\n  8 [size=\"44838400\", alpha=\"0.01\", expect_size=\"17935360\"] \n  8 -> 23 [size =\"17935360\"]\n  8 -> 24 [size =\"17935360\"]\n  8 -> 25 [size =\"17935360\"]\n  8 -> 26 [size =\"17935360\"]\n  8 -> 27 [size =\"17935360\"]\n  8 -> 28 [size =\"17935360\"]\n  8 -> 30 [size =\"17935360\"]\n  8 -> 31 [size =\"17935360\"]\n  8 -> 37 [size =\"17935360\"]\n  8 -> 40 [size =\"17935360\"]\n  8 -> 40 [size =\"17935360\"]\n  9 [size=\"77985280\", alpha=\"0.16\", expect_size=\"31194112\"] \n  9 -> 23 [size =\"31194112\"]\n  9 -> 24 [size =\"31194112\"]\n  9 -> 25 [size =\"31194112\"]\n  9 -> 27 [size =\"31194112\"]\n  9 -> 28 [size =\"31194112\"]\n  9 -> 31 [size =\"31194112\"]\n  9 -> 32 [size =\"31194112\"]\n  9 -> 34 [size =\"31194112\"]\n  9 -> 35 [size =\"31194112\"]\n  9 -> 36 [size =\"31194112\"]\n  9 -> 37 [size =\"31194112\"]\n  9 -> 38 [size =\"31194112\"]\n  9 -> 40 [size =\"31194112\"]\n  10 [size=\"55585280\", alpha=\"0.03\", expect_size=\"22234112\"] \n  10 -> 24 [size =\"22234112\"]\n  10 -> 25 [size =\"22234112\"]\n  10 -> 27 [size =\"22234112\"]\n  10 -> 28 [size =\"22234112\"]\n  10 -> 28 [size =\"22234112\"]\n  10 -> 30 [size =\"22234112\"]\n  10 -> 31 [size =\"22234112\"]\n  10 -> 32 [size =\"22234112\"]\n  10 -> 35 [size =\"22234112\"]\n  10 -> 36 [size =\"22234112\"]\n  10 -> 37 [size =\"22234112\"]\n  10 -> 38 [size =\"22234112\"]\n  11 [size=\"42224640\", alpha=\"0.07\", expect_size=\"16889856\"] \n  11 -> 28 [size =\"16889856\"]\n  11 -> 30 [size =\"16889856\"]\n  11 -> 31 [size =\"16889856\"]\n  11 -> 32 [size =\"16889856\"]\n  11 -> 35 [size =\"16889856\"]\n  11 -> 36 [size =\"16889856\"]\n  11 -> 37 [size =\"16889856\"]\n  11 -> 40 [size =\"16889856\"]\n  12 [size=\"32680960\", alpha=\"0.12\", expect_size=\"13072384\"] \n  12 -> 25 [size =\"13072384\"]\n  12 -> 26 [size =\"13072384\"]\n  12 -> 30 [size =\"13072384\"]\n  12 -> 31 [size =\"13072384\"]\n  12 -> 32 [size =\"13072384\"]\n  12 -> 34 [size =\"13072384\"]\n  12 -> 36 [size =\"13072384\"]\n  12 -> 37 [size =\"13072384\"]\n  12 -> 38 [size =\"13072384\"]\n  12 -> 40 [size =\"13072384\"]\n  13 [size=\"57955840\", alpha=\"0.19\", expect_size=\"23182336\"] \n  13 -> 23 [size =\"23182336\"]\n  13 -> 24 [size =\"23182336\"]\n  13 -> 25 [size =\"23182336\"]\n  13 -> 26 [size =\"23182336\"]\n  13 -> 30 [size =\"23182336\"]\n  13 -> 31 [size =\"23182336\"]\n  13 -> 32 [size =\"23182336\"]\n  13 -> 33 [size =\"23182336\"]\n  13 -> 36 [size =\"23182336\"]\n  13 -> 37 [size =\"23182336\"]\n  13 -> 38 [size =\"23182336\"]\n  13 -> 39 [size =\"23182336\"]\n  13 -> 40 [size =\"23182336\"]\n  14 [size=\"32791040\", alpha=\"0.08\", expect_size=\"13116416\"] \n  14 -> 23 [size =\"13116416\"]\n  14 -> 24 [size =\"13116416\"]\n  14 -> 26 [size =\"13116416\"]\n  14 -> 29 [size =\"13116416\"]\n  14 -> 31 [size =\"13116416\"]\n  14 -> 31 [size =\"13116416\"]\n  14 -> 32 [size =\"13116416\"]\n  14 -> 33 [size =\"13116416\"]\n  14 -> 36 [size =\"13116416\"]\n  14 -> 37 [size =\"13116416\"]\n  14 -> 38 [size =\"13116416\"]\n  14 -> 40 [size =\"13116416\"]\n  15 [size=\"118323200\", alpha=\"0.02\", expect_size=\"47329280\"] \n  15 -> 26 [size =\"47329280\"]\n  15 -> 27 [size =\"47329280\"]\n  15 -> 28 [size =\"47329280\"]\n  15 -> 31 [size =\"47329280\"]\n  15 -> 31 [size =\"47329280\"]\n  15 -> 32 [size =\"47329280\"]\n  15 -> 35 [size =\"47329280\"]\n  15 -> 39 [size =\"47329280\"]\n  15 -> 40 [size =\"47329280\"]\n  16 [size=\"102481920\", alpha=\"0.08\", expect_size=\"40992768\"] \n  16 -> 23 [size =\"40992768\"]\n  16 -> 26 [size =\"40992768\"]\n  16 -> 27 [size =\"40992768\"]\n  16 -> 28 [size =\"40992768\"]\n  16 -> 31 [size =\"40992768\"]\n  16 -> 32 [size =\"40992768\"]\n  16 -> 35 [size =\"40992768\"]\n  16 -> 36 [size =\"40992768\"]\n  16 -> 39 [size =\"40992768\"]\n  16 -> 40 [size =\"40992768\"]\n  17 [size=\"119495680\", alpha=\"0.11\", expect_size=\"47798272\"] \n  17 -> 25 [size =\"47798272\"]\n  17 -> 26 [size =\"47798272\"]\n  17 -> 27 [size =\"47798272\"]\n  17 -> 28 [size =\"47798272\"]\n  17 -> 29 [size =\"47798272\"]\n  17 -> 33 [size =\"47798272\"]\n  17 -> 34 [size =\"47798272\"]\n  17 -> 38 [size =\"47798272\"]\n  17 -> 39 [size =\"47798272\"]\n  18 [size=\"80506880\", alpha=\"0.15\", expect_size=\"32202752\"] \n  18 -> 26 [size =\"32202752\"]\n  18 -> 27 [size =\"32202752\"]\n  18 -> 27 [size =\"32202752\"]\n  18 -> 28 [size =\"32202752\"]\n  18 -> 31 [size =\"32202752\"]\n  18 -> 37 [size =\"32202752\"]\n  18 -> 40 [size =\"32202752\"]\n  19 [size=\"85035520\", alpha=\"0.06\", expect_size=\"34014208\"] \n  19 -> 23 [size =\"34014208\"]\n  19 -> 24 [size =\"34014208\"]\n  19 -> 25 [size =\"34014208\"]\n  19 -> 26 [size =\"34014208\"]\n  19 -> 27 [size =\"34014208\"]\n  19 -> 28 [size =\"34014208\"]\n  19 -> 29 [size =\"34014208\"]\n  19 -> 30 [size =\"34014208\"]\n  19 -> 31 [size =\"34014208\"]\n  19 -> 32 [size =\"34014208\"]\n  19 -> 34 [size =\"34014208\"]\n  19 -> 35 [size =\"34014208\"]\n  19 -> 36 [size =\"34014208\"]\n  19 -> 40 [size =\"34014208\"]\n  20 [size=\"62627840\", alpha=\"0.12\", expect_size=\"25051136\"] \n  20 -> 23 [size =\"25051136\"]\n  20 -> 26 [size =\"25051136\"]\n  20 -> 27 [size =\"25051136\"]\n  20 -> 29 [size =\"25051136\"]\n  20 -> 30 [size =\"25051136\"]\n  20 -> 31 [size =\"25051136\"]\n  20 -> 32 [size =\"25051136\"]\n  20 -> 33 [size =\"25051136\"]\n  20 -> 34 [size =\"25051136\"]\n  20 -> 37 [size =\"25051136\"]\n  20 -> 40 [size =\"25051136\"]\n  21 [size=\"81569280\", alpha=\"0.14\", expect_size=\"32627712\"] \n  21 -> 23 [size =\"32627712\"]\n  21 -> 24 [size =\"32627712\"]\n  21 -> 26 [size =\"32627712\"]\n  21 -> 27 [size =\"32627712\"]\n  21 -> 28 [size =\"32627712\"]\n  21 -> 29 [size =\"32627712\"]\n  21 -> 32 [size =\"32627712\"]\n  21 -> 34 [size =\"32627712\"]\n  21 -> 34 [size =\"32627712\"]\n  21 -> 37 [size =\"32627712\"]\n  21 -> 38 [size =\"32627712\"]\n  21 -> 40 [size =\"32627712\"]\n  22 [size=\"121077760\", alpha=\"0.07\", expect_size=\"48431104\"] \n  22 -> 23 [size =\"48431104\"]\n  22 -> 24 [size =\"48431104\"]\n  22 -> 25 [size =\"48431104\"]\n  22 -> 27 [size =\"48431104\"]\n  22 -> 28 [size =\"48431104\"]\n  22 -> 29 [size =\"48431104\"]\n  22 -> 34 [size =\"48431104\"]\n  22 -> 34 [size =\"48431104\"]\n  22 -> 37 [size =\"48431104\"]\n  22 -> 38 [size =\"48431104\"]\n  22 -> 39 [size =\"48431104\"]\n  22 -> 40 [size =\"48431104\"]\n  23 [size=\"76769280\", alpha=\"0.17\", expect_size=\"30707712\"] \n  24 [size=\"72616960\", alpha=\"0.09\", expect_size=\"29046784\"] \n  25 [size=\"119393280\", alpha=\"0.02\", expect_size=\"47757312\"] \n  26 [size=\"13109760\", alpha=\"0.14\", expect_size=\"5243904\"] \n  27 [size=\"61639680\", alpha=\"0.19\", expect_size=\"24655872\"] \n  28 [size=\"126561280\", alpha=\"0.09\", expect_size=\"50624512\"] \n  29 [size=\"95472640\", alpha=\"0.10\", expect_size=\"38189056\"] \n  30 [size=\"13342720\", alpha=\"0.18\", expect_size=\"5337088\"] \n  31 [size=\"86410240\", alpha=\"0.11\", expect_size=\"34564096\"] \n  32 [size=\"49715200\", alpha=\"0.07\", expect_size=\"19886080\"] \n  33 [size=\"88936960\", alpha=\"0.11\", expect_size=\"35574784\"] \n  34 [size=\"71160320\", alpha=\"0.18\", expect_size=\"28464128\"] \n  35 [size=\"127029760\", alpha=\"0.04\", expect_size=\"50811904\"] \n  36 [size=\"23761920\", alpha=\"0.04\", expect_size=\"9504768\"] \n  37 [size=\"108049920\", alpha=\"0.02\", expect_size=\"43219968\"] \n  38 [size=\"101068800\", alpha=\"0.12\", expect_size=\"40427520\"] \n  39 [size=\"34554880\", alpha=\"0.14\", expect_size=\"13821952\"] \n  40 [size=\"91351040\", alpha=\"0.04\", expect_size=\"36540416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70778880\", alpha=\"0.16\", expect_size=\"28311552\"] \n  1 -> 7 [size =\"28311552\"]\n  1 -> 11 [size =\"28311552\"]\n  2 [size=\"123589120\", alpha=\"0.07\", expect_size=\"49435648\"] \n  2 -> 6 [size =\"49435648\"]\n  2 -> 7 [size =\"49435648\"]\n  2 -> 10 [size =\"49435648\"]\n  3 [size=\"73976320\", alpha=\"0.05\", expect_size=\"29590528\"] \n  3 -> 6 [size =\"29590528\"]\n  3 -> 7 [size =\"29590528\"]\n  3 -> 8 [size =\"29590528\"]\n  3 -> 9 [size =\"29590528\"]\n  3 -> 10 [size =\"29590528\"]\n  3 -> 11 [size =\"29590528\"]\n  4 [size=\"69079040\", alpha=\"0.10\", expect_size=\"27631616\"] \n  4 -> 9 [size =\"27631616\"]\n  4 -> 10 [size =\"27631616\"]\n  4 -> 11 [size =\"27631616\"]\n  5 [size=\"106216960\", alpha=\"0.02\", expect_size=\"42486784\"] \n  5 -> 7 [size =\"42486784\"]\n  5 -> 10 [size =\"42486784\"]\n  5 -> 11 [size =\"42486784\"]\n  6 [size=\"74531840\", alpha=\"0.00\", expect_size=\"29812736\"] \n  6 -> 12 [size =\"29812736\"]\n  6 -> 15 [size =\"29812736\"]\n  7 [size=\"128778240\", alpha=\"0.00\", expect_size=\"51511296\"] \n  7 -> 13 [size =\"51511296\"]\n  7 -> 14 [size =\"51511296\"]\n  7 -> 15 [size =\"51511296\"]\n  8 [size=\"13196800\", alpha=\"0.02\", expect_size=\"5278720\"] \n  8 -> 12 [size =\"5278720\"]\n  8 -> 15 [size =\"5278720\"]\n  9 [size=\"97571840\", alpha=\"0.08\", expect_size=\"39028736\"] \n  9 -> 12 [size =\"39028736\"]\n  9 -> 14 [size =\"39028736\"]\n  10 [size=\"13826560\", alpha=\"0.18\", expect_size=\"5530624\"] \n  10 -> 13 [size =\"5530624\"]\n  11 [size=\"50152960\", alpha=\"0.19\", expect_size=\"20061184\"] \n  11 -> 15 [size =\"20061184\"]\n  11 -> 16 [size =\"20061184\"]\n  11 -> 17 [size =\"20061184\"]\n  12 [size=\"27755520\", alpha=\"0.04\", expect_size=\"11102208\"] \n  12 -> 18 [size =\"11102208\"]\n  12 -> 19 [size =\"11102208\"]\n  12 -> 21 [size =\"11102208\"]\n  12 -> 22 [size =\"11102208\"]\n  13 [size=\"67189760\", alpha=\"0.16\", expect_size=\"26875904\"] \n  13 -> 22 [size =\"26875904\"]\n  14 [size=\"95029760\", alpha=\"0.00\", expect_size=\"38011904\"] \n  15 [size=\"33303040\", alpha=\"0.06\", expect_size=\"13321216\"] \n  15 -> 19 [size =\"13321216\"]\n  16 [size=\"43468800\", alpha=\"0.19\", expect_size=\"17387520\"] \n  16 -> 18 [size =\"17387520\"]\n  16 -> 20 [size =\"17387520\"]\n  16 -> 21 [size =\"17387520\"]\n  17 [size=\"44733440\", alpha=\"0.08\", expect_size=\"17893376\"] \n  17 -> 18 [size =\"17893376\"]\n  17 -> 19 [size =\"17893376\"]\n  17 -> 20 [size =\"17893376\"]\n  17 -> 21 [size =\"17893376\"]\n  18 [size=\"46156800\", alpha=\"0.20\", expect_size=\"18462720\"] \n  18 -> 25 [size =\"18462720\"]\n  19 [size=\"55979520\", alpha=\"0.08\", expect_size=\"22391808\"] \n  19 -> 24 [size =\"22391808\"]\n  20 [size=\"103467520\", alpha=\"0.17\", expect_size=\"41387008\"] \n  20 -> 27 [size =\"41387008\"]\n  21 [size=\"94000640\", alpha=\"0.16\", expect_size=\"37600256\"] \n  21 -> 23 [size =\"37600256\"]\n  21 -> 26 [size =\"37600256\"]\n  22 [size=\"86492160\", alpha=\"0.14\", expect_size=\"34596864\"] \n  22 -> 23 [size =\"34596864\"]\n  22 -> 25 [size =\"34596864\"]\n  23 [size=\"107586560\", alpha=\"0.02\", expect_size=\"43034624\"] \n  23 -> 29 [size =\"43034624\"]\n  23 -> 31 [size =\"43034624\"]\n  23 -> 32 [size =\"43034624\"]\n  24 [size=\"85207040\", alpha=\"0.19\", expect_size=\"34082816\"] \n  24 -> 29 [size =\"34082816\"]\n  24 -> 30 [size =\"34082816\"]\n  24 -> 32 [size =\"34082816\"]\n  25 [size=\"87644160\", alpha=\"0.12\", expect_size=\"35057664\"] \n  25 -> 28 [size =\"35057664\"]\n  25 -> 31 [size =\"35057664\"]\n  26 [size=\"120880640\", alpha=\"0.16\", expect_size=\"48352256\"] \n  26 -> 29 [size =\"48352256\"]\n  26 -> 31 [size =\"48352256\"]\n  27 [size=\"114183680\", alpha=\"0.19\", expect_size=\"45673472\"] \n  27 -> 29 [size =\"45673472\"]\n  27 -> 30 [size =\"45673472\"]\n  27 -> 31 [size =\"45673472\"]\n  27 -> 32 [size =\"45673472\"]\n  28 [size=\"45811200\", alpha=\"0.02\", expect_size=\"18324480\"] \n  28 -> 35 [size =\"18324480\"]\n  29 [size=\"44651520\", alpha=\"0.20\", expect_size=\"17860608\"] \n  29 -> 34 [size =\"17860608\"]\n  29 -> 36 [size =\"17860608\"]\n  30 [size=\"94502400\", alpha=\"0.17\", expect_size=\"37800960\"] \n  30 -> 33 [size =\"37800960\"]\n  30 -> 36 [size =\"37800960\"]\n  30 -> 37 [size =\"37800960\"]\n  31 [size=\"79728640\", alpha=\"0.01\", expect_size=\"31891456\"] \n  31 -> 36 [size =\"31891456\"]\n  31 -> 38 [size =\"31891456\"]\n  32 [size=\"58004480\", alpha=\"0.08\", expect_size=\"23201792\"] \n  32 -> 33 [size =\"23201792\"]\n  32 -> 36 [size =\"23201792\"]\n  32 -> 38 [size =\"23201792\"]\n  33 [size=\"21844480\", alpha=\"0.03\", expect_size=\"8737792\"] \n  33 -> 40 [size =\"8737792\"]\n  34 [size=\"32125440\", alpha=\"0.13\", expect_size=\"12850176\"] \n  34 -> 40 [size =\"12850176\"]\n  35 [size=\"26854400\", alpha=\"0.06\", expect_size=\"10741760\"] \n  35 -> 40 [size =\"10741760\"]\n  36 [size=\"99138560\", alpha=\"0.04\", expect_size=\"39655424\"] \n  37 [size=\"74472960\", alpha=\"0.07\", expect_size=\"29789184\"] \n  37 -> 40 [size =\"29789184\"]\n  38 [size=\"68536320\", alpha=\"0.16\", expect_size=\"27414528\"] \n  38 -> 39 [size =\"27414528\"]\n  38 -> 40 [size =\"27414528\"]\n  39 [size=\"81415680\", alpha=\"0.12\", expect_size=\"32566272\"] \n  40 [size=\"79613440\", alpha=\"0.04\", expect_size=\"31845376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20170752\", alpha=\"0.17\", expect_size=\"10085376\"] \n  1 -> 8 [size =\"10085376\"]\n  1 -> 10 [size =\"10085376\"]\n  1 -> 10 [size =\"10085376\"]\n  2 [size=\"35383296\", alpha=\"0.09\", expect_size=\"17691648\"] \n  3 [size=\"58005504\", alpha=\"0.12\", expect_size=\"29002752\"] \n  4 [size=\"58458112\", alpha=\"0.16\", expect_size=\"29229056\"] \n  4 -> 8 [size =\"29229056\"]\n  5 [size=\"52060160\", alpha=\"0.20\", expect_size=\"26030080\"] \n  6 [size=\"83230720\", alpha=\"0.19\", expect_size=\"41615360\"] \n  6 -> 8 [size =\"41615360\"]\n  6 -> 9 [size =\"41615360\"]\n  6 -> 10 [size =\"41615360\"]\n  7 [size=\"96325632\", alpha=\"0.14\", expect_size=\"48162816\"] \n  7 -> 8 [size =\"48162816\"]\n  7 -> 9 [size =\"48162816\"]\n  7 -> 10 [size =\"48162816\"]\n  8 [size=\"70860800\", alpha=\"0.10\", expect_size=\"35430400\"] \n  8 -> 11 [size =\"35430400\"]\n  9 [size=\"74964992\", alpha=\"0.19\", expect_size=\"37482496\"] \n  9 -> 12 [size =\"37482496\"]\n  9 -> 13 [size =\"37482496\"]\n  9 -> 14 [size =\"37482496\"]\n  10 [size=\"90105856\", alpha=\"0.14\", expect_size=\"45052928\"] \n  10 -> 11 [size =\"45052928\"]\n  10 -> 13 [size =\"45052928\"]\n  10 -> 15 [size =\"45052928\"]\n  11 [size=\"80723968\", alpha=\"0.08\", expect_size=\"40361984\"] \n  11 -> 17 [size =\"40361984\"]\n  11 -> 18 [size =\"40361984\"]\n  11 -> 19 [size =\"40361984\"]\n  12 [size=\"64862208\", alpha=\"0.18\", expect_size=\"32431104\"] \n  12 -> 18 [size =\"32431104\"]\n  12 -> 20 [size =\"32431104\"]\n  13 [size=\"12107776\", alpha=\"0.09\", expect_size=\"6053888\"] \n  13 -> 18 [size =\"6053888\"]\n  13 -> 19 [size =\"6053888\"]\n  13 -> 20 [size =\"6053888\"]\n  14 [size=\"68984832\", alpha=\"0.11\", expect_size=\"34492416\"] \n  14 -> 16 [size =\"34492416\"]\n  15 [size=\"50505728\", alpha=\"0.09\", expect_size=\"25252864\"] \n  15 -> 17 [size =\"25252864\"]\n  16 [size=\"50118656\", alpha=\"0.11\", expect_size=\"25059328\"] \n  16 -> 21 [size =\"25059328\"]\n  17 [size=\"47642624\", alpha=\"0.19\", expect_size=\"23821312\"] \n  17 -> 22 [size =\"23821312\"]\n  17 -> 23 [size =\"23821312\"]\n  18 [size=\"19509248\", alpha=\"0.05\", expect_size=\"9754624\"] \n  18 -> 22 [size =\"9754624\"]\n  19 [size=\"65765376\", alpha=\"0.00\", expect_size=\"32882688\"] \n  20 [size=\"61042688\", alpha=\"0.05\", expect_size=\"30521344\"] \n  20 -> 23 [size =\"30521344\"]\n  21 [size=\"31748096\", alpha=\"0.12\", expect_size=\"15874048\"] \n  21 -> 26 [size =\"15874048\"]\n  21 -> 27 [size =\"15874048\"]\n  22 [size=\"67235840\", alpha=\"0.04\", expect_size=\"33617920\"] \n  22 -> 24 [size =\"33617920\"]\n  22 -> 26 [size =\"33617920\"]\n  23 [size=\"59858944\", alpha=\"0.06\", expect_size=\"29929472\"] \n  23 -> 25 [size =\"29929472\"]\n  23 -> 27 [size =\"29929472\"]\n  23 -> 28 [size =\"29929472\"]\n  24 [size=\"104548352\", alpha=\"0.19\", expect_size=\"52274176\"] \n  24 -> 30 [size =\"52274176\"]\n  24 -> 31 [size =\"52274176\"]\n  24 -> 34 [size =\"52274176\"]\n  25 [size=\"64135168\", alpha=\"0.00\", expect_size=\"32067584\"] \n  25 -> 29 [size =\"32067584\"]\n  25 -> 33 [size =\"32067584\"]\n  25 -> 35 [size =\"32067584\"]\n  26 [size=\"11608064\", alpha=\"0.17\", expect_size=\"5804032\"] \n  26 -> 35 [size =\"5804032\"]\n  27 [size=\"65107968\", alpha=\"0.11\", expect_size=\"32553984\"] \n  27 -> 29 [size =\"32553984\"]\n  27 -> 31 [size =\"32553984\"]\n  27 -> 33 [size =\"32553984\"]\n  28 [size=\"59353088\", alpha=\"0.19\", expect_size=\"29676544\"] \n  28 -> 29 [size =\"29676544\"]\n  28 -> 30 [size =\"29676544\"]\n  28 -> 32 [size =\"29676544\"]\n  28 -> 33 [size =\"29676544\"]\n  29 [size=\"82573312\", alpha=\"0.00\", expect_size=\"41286656\"] \n  29 -> 36 [size =\"41286656\"]\n  30 [size=\"84721664\", alpha=\"0.18\", expect_size=\"42360832\"] \n  31 [size=\"15165440\", alpha=\"0.11\", expect_size=\"7582720\"] \n  31 -> 37 [size =\"7582720\"]\n  31 -> 38 [size =\"7582720\"]\n  31 -> 39 [size =\"7582720\"]\n  32 [size=\"72337408\", alpha=\"0.16\", expect_size=\"36168704\"] \n  32 -> 37 [size =\"36168704\"]\n  32 -> 39 [size =\"36168704\"]\n  32 -> 39 [size =\"36168704\"]\n  33 [size=\"92389376\", alpha=\"0.01\", expect_size=\"46194688\"] \n  33 -> 37 [size =\"46194688\"]\n  33 -> 38 [size =\"46194688\"]\n  33 -> 40 [size =\"46194688\"]\n  34 [size=\"28473344\", alpha=\"0.18\", expect_size=\"14236672\"] \n  35 [size=\"22933504\", alpha=\"0.04\", expect_size=\"11466752\"] \n  35 -> 38 [size =\"11466752\"]\n  35 -> 39 [size =\"11466752\"]\n  36 [size=\"22974464\", alpha=\"0.18\", expect_size=\"11487232\"] \n  37 [size=\"101339136\", alpha=\"0.00\", expect_size=\"50669568\"] \n  38 [size=\"60758016\", alpha=\"0.04\", expect_size=\"30379008\"] \n  39 [size=\"55977984\", alpha=\"0.20\", expect_size=\"27988992\"] \n  40 [size=\"57106432\", alpha=\"0.06\", expect_size=\"28553216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83880960\", alpha=\"0.08\", expect_size=\"33552384\"] \n  1 -> 15 [size =\"33552384\"]\n  1 -> 17 [size =\"33552384\"]\n  1 -> 22 [size =\"33552384\"]\n  1 -> 24 [size =\"33552384\"]\n  1 -> 26 [size =\"33552384\"]\n  2 [size=\"126545920\", alpha=\"0.04\", expect_size=\"50618368\"] \n  2 -> 14 [size =\"50618368\"]\n  2 -> 15 [size =\"50618368\"]\n  2 -> 19 [size =\"50618368\"]\n  2 -> 21 [size =\"50618368\"]\n  3 [size=\"55068160\", alpha=\"0.12\", expect_size=\"22027264\"] \n  3 -> 15 [size =\"22027264\"]\n  3 -> 17 [size =\"22027264\"]\n  3 -> 20 [size =\"22027264\"]\n  4 [size=\"54190080\", alpha=\"0.10\", expect_size=\"21676032\"] \n  4 -> 14 [size =\"21676032\"]\n  4 -> 15 [size =\"21676032\"]\n  4 -> 16 [size =\"21676032\"]\n  4 -> 23 [size =\"21676032\"]\n  4 -> 24 [size =\"21676032\"]\n  4 -> 25 [size =\"21676032\"]\n  4 -> 26 [size =\"21676032\"]\n  5 [size=\"68636160\", alpha=\"0.11\", expect_size=\"27454464\"] \n  5 -> 15 [size =\"27454464\"]\n  5 -> 15 [size =\"27454464\"]\n  5 -> 22 [size =\"27454464\"]\n  5 -> 23 [size =\"27454464\"]\n  5 -> 24 [size =\"27454464\"]\n  6 [size=\"70223360\", alpha=\"0.12\", expect_size=\"28089344\"] \n  6 -> 19 [size =\"28089344\"]\n  6 -> 20 [size =\"28089344\"]\n  6 -> 25 [size =\"28089344\"]\n  7 [size=\"69644800\", alpha=\"0.10\", expect_size=\"27857920\"] \n  7 -> 16 [size =\"27857920\"]\n  7 -> 24 [size =\"27857920\"]\n  7 -> 25 [size =\"27857920\"]\n  8 [size=\"22696960\", alpha=\"0.06\", expect_size=\"9078784\"] \n  8 -> 17 [size =\"9078784\"]\n  8 -> 22 [size =\"9078784\"]\n  8 -> 23 [size =\"9078784\"]\n  9 [size=\"102853120\", alpha=\"0.15\", expect_size=\"41141248\"] \n  9 -> 16 [size =\"41141248\"]\n  9 -> 19 [size =\"41141248\"]\n  9 -> 22 [size =\"41141248\"]\n  9 -> 28 [size =\"41141248\"]\n  10 [size=\"76275200\", alpha=\"0.12\", expect_size=\"30510080\"] \n  10 -> 25 [size =\"30510080\"]\n  11 [size=\"25917440\", alpha=\"0.03\", expect_size=\"10366976\"] \n  11 -> 21 [size =\"10366976\"]\n  11 -> 22 [size =\"10366976\"]\n  11 -> 24 [size =\"10366976\"]\n  11 -> 26 [size =\"10366976\"]\n  12 [size=\"73425920\", alpha=\"0.13\", expect_size=\"29370368\"] \n  12 -> 17 [size =\"29370368\"]\n  12 -> 18 [size =\"29370368\"]\n  12 -> 21 [size =\"29370368\"]\n  12 -> 25 [size =\"29370368\"]\n  13 [size=\"98252800\", alpha=\"0.10\", expect_size=\"39301120\"] \n  13 -> 14 [size =\"39301120\"]\n  13 -> 17 [size =\"39301120\"]\n  13 -> 22 [size =\"39301120\"]\n  13 -> 27 [size =\"39301120\"]\n  14 [size=\"49128960\", alpha=\"0.00\", expect_size=\"19651584\"] \n  14 -> 30 [size =\"19651584\"]\n  14 -> 33 [size =\"19651584\"]\n  14 -> 37 [size =\"19651584\"]\n  14 -> 38 [size =\"19651584\"]\n  15 [size=\"105943040\", alpha=\"0.10\", expect_size=\"42377216\"] \n  15 -> 34 [size =\"42377216\"]\n  15 -> 37 [size =\"42377216\"]\n  16 [size=\"50554880\", alpha=\"0.02\", expect_size=\"20221952\"] \n  16 -> 39 [size =\"20221952\"]\n  17 [size=\"118661120\", alpha=\"0.10\", expect_size=\"47464448\"] \n  17 -> 38 [size =\"47464448\"]\n  17 -> 39 [size =\"47464448\"]\n  18 [size=\"60075520\", alpha=\"0.09\", expect_size=\"24030208\"] \n  18 -> 29 [size =\"24030208\"]\n  18 -> 34 [size =\"24030208\"]\n  18 -> 35 [size =\"24030208\"]\n  18 -> 37 [size =\"24030208\"]\n  18 -> 39 [size =\"24030208\"]\n  19 [size=\"97512960\", alpha=\"0.16\", expect_size=\"39005184\"] \n  19 -> 30 [size =\"39005184\"]\n  19 -> 32 [size =\"39005184\"]\n  19 -> 34 [size =\"39005184\"]\n  19 -> 35 [size =\"39005184\"]\n  19 -> 36 [size =\"39005184\"]\n  19 -> 39 [size =\"39005184\"]\n  19 -> 40 [size =\"39005184\"]\n  20 [size=\"68408320\", alpha=\"0.14\", expect_size=\"27363328\"] \n  20 -> 30 [size =\"27363328\"]\n  20 -> 34 [size =\"27363328\"]\n  20 -> 35 [size =\"27363328\"]\n  20 -> 35 [size =\"27363328\"]\n  20 -> 36 [size =\"27363328\"]\n  20 -> 37 [size =\"27363328\"]\n  20 -> 38 [size =\"27363328\"]\n  20 -> 39 [size =\"27363328\"]\n  21 [size=\"23605760\", alpha=\"0.04\", expect_size=\"9442304\"] \n  21 -> 30 [size =\"9442304\"]\n  21 -> 36 [size =\"9442304\"]\n  21 -> 37 [size =\"9442304\"]\n  21 -> 38 [size =\"9442304\"]\n  21 -> 39 [size =\"9442304\"]\n  22 [size=\"40788480\", alpha=\"0.13\", expect_size=\"16315392\"] \n  22 -> 30 [size =\"16315392\"]\n  22 -> 33 [size =\"16315392\"]\n  22 -> 35 [size =\"16315392\"]\n  22 -> 36 [size =\"16315392\"]\n  23 [size=\"115450880\", alpha=\"0.09\", expect_size=\"46180352\"] \n  23 -> 29 [size =\"46180352\"]\n  23 -> 36 [size =\"46180352\"]\n  23 -> 37 [size =\"46180352\"]\n  23 -> 39 [size =\"46180352\"]\n  23 -> 40 [size =\"46180352\"]\n  24 [size=\"54115840\", alpha=\"0.12\", expect_size=\"21646336\"] \n  24 -> 32 [size =\"21646336\"]\n  24 -> 37 [size =\"21646336\"]\n  24 -> 40 [size =\"21646336\"]\n  25 [size=\"56537600\", alpha=\"0.04\", expect_size=\"22615040\"] \n  25 -> 32 [size =\"22615040\"]\n  25 -> 33 [size =\"22615040\"]\n  25 -> 34 [size =\"22615040\"]\n  25 -> 35 [size =\"22615040\"]\n  25 -> 36 [size =\"22615040\"]\n  25 -> 37 [size =\"22615040\"]\n  26 [size=\"113410560\", alpha=\"0.06\", expect_size=\"45364224\"] \n  26 -> 29 [size =\"45364224\"]\n  26 -> 33 [size =\"45364224\"]\n  26 -> 34 [size =\"45364224\"]\n  26 -> 35 [size =\"45364224\"]\n  27 [size=\"125847040\", alpha=\"0.18\", expect_size=\"50338816\"] \n  27 -> 30 [size =\"50338816\"]\n  27 -> 31 [size =\"50338816\"]\n  27 -> 32 [size =\"50338816\"]\n  27 -> 34 [size =\"50338816\"]\n  28 [size=\"67123200\", alpha=\"0.12\", expect_size=\"26849280\"] \n  28 -> 31 [size =\"26849280\"]\n  28 -> 36 [size =\"26849280\"]\n  29 [size=\"117806080\", alpha=\"0.00\", expect_size=\"47122432\"] \n  30 [size=\"95580160\", alpha=\"0.19\", expect_size=\"38232064\"] \n  31 [size=\"60003840\", alpha=\"0.01\", expect_size=\"24001536\"] \n  32 [size=\"81856000\", alpha=\"0.13\", expect_size=\"32742400\"] \n  33 [size=\"38643200\", alpha=\"0.19\", expect_size=\"15457280\"] \n  34 [size=\"90296320\", alpha=\"0.11\", expect_size=\"36118528\"] \n  35 [size=\"41971200\", alpha=\"0.19\", expect_size=\"16788480\"] \n  36 [size=\"67159040\", alpha=\"0.13\", expect_size=\"26863616\"] \n  37 [size=\"105016320\", alpha=\"0.05\", expect_size=\"42006528\"] \n  38 [size=\"94113280\", alpha=\"0.06\", expect_size=\"37645312\"] \n  39 [size=\"44044800\", alpha=\"0.00\", expect_size=\"17617920\"] \n  40 [size=\"44554240\", alpha=\"0.04\", expect_size=\"17821696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50078720\", alpha=\"0.17\", expect_size=\"20031488\"] \n  1 -> 4 [size =\"20031488\"]\n  1 -> 6 [size =\"20031488\"]\n  2 [size=\"123202560\", alpha=\"0.11\", expect_size=\"49281024\"] \n  2 -> 4 [size =\"49281024\"]\n  3 [size=\"46835200\", alpha=\"0.00\", expect_size=\"18734080\"] \n  3 -> 4 [size =\"18734080\"]\n  3 -> 5 [size =\"18734080\"]\n  3 -> 6 [size =\"18734080\"]\n  4 [size=\"56309760\", alpha=\"0.03\", expect_size=\"22523904\"] \n  4 -> 8 [size =\"22523904\"]\n  5 [size=\"77171200\", alpha=\"0.15\", expect_size=\"30868480\"] \n  6 [size=\"43760640\", alpha=\"0.18\", expect_size=\"17504256\"] \n  6 -> 7 [size =\"17504256\"]\n  7 [size=\"71400960\", alpha=\"0.15\", expect_size=\"28560384\"] \n  7 -> 9 [size =\"28560384\"]\n  8 [size=\"33254400\", alpha=\"0.11\", expect_size=\"13301760\"] \n  8 -> 10 [size =\"13301760\"]\n  9 [size=\"35223040\", alpha=\"0.09\", expect_size=\"14089216\"] \n  9 -> 11 [size =\"14089216\"]\n  9 -> 12 [size =\"14089216\"]\n  10 [size=\"110827520\", alpha=\"0.18\", expect_size=\"44331008\"] \n  10 -> 11 [size =\"44331008\"]\n  11 [size=\"96448000\", alpha=\"0.19\", expect_size=\"38579200\"] \n  11 -> 13 [size =\"38579200\"]\n  11 -> 14 [size =\"38579200\"]\n  11 -> 15 [size =\"38579200\"]\n  11 -> 16 [size =\"38579200\"]\n  12 [size=\"79534080\", alpha=\"0.14\", expect_size=\"31813632\"] \n  12 -> 14 [size =\"31813632\"]\n  12 -> 15 [size =\"31813632\"]\n  13 [size=\"28945920\", alpha=\"0.08\", expect_size=\"11578368\"] \n  14 [size=\"31408640\", alpha=\"0.12\", expect_size=\"12563456\"] \n  14 -> 17 [size =\"12563456\"]\n  15 [size=\"46574080\", alpha=\"0.10\", expect_size=\"18629632\"] \n  15 -> 17 [size =\"18629632\"]\n  15 -> 18 [size =\"18629632\"]\n  16 [size=\"15905280\", alpha=\"0.01\", expect_size=\"6362112\"] \n  16 -> 19 [size =\"6362112\"]\n  17 [size=\"123645440\", alpha=\"0.19\", expect_size=\"49458176\"] \n  17 -> 20 [size =\"49458176\"]\n  18 [size=\"94348800\", alpha=\"0.19\", expect_size=\"37739520\"] \n  18 -> 20 [size =\"37739520\"]\n  19 [size=\"43146240\", alpha=\"0.17\", expect_size=\"17258496\"] \n  20 [size=\"97991680\", alpha=\"0.17\", expect_size=\"39196672\"] \n  20 -> 21 [size =\"39196672\"]\n  20 -> 22 [size =\"39196672\"]\n  20 -> 23 [size =\"39196672\"]\n  21 [size=\"88537600\", alpha=\"0.03\", expect_size=\"35415040\"] \n  21 -> 24 [size =\"35415040\"]\n  22 [size=\"84656640\", alpha=\"0.08\", expect_size=\"33862656\"] \n  22 -> 24 [size =\"33862656\"]\n  23 [size=\"46348800\", alpha=\"0.18\", expect_size=\"18539520\"] \n  24 [size=\"94051840\", alpha=\"0.16\", expect_size=\"37620736\"] \n  24 -> 25 [size =\"37620736\"]\n  24 -> 26 [size =\"37620736\"]\n  24 -> 27 [size =\"37620736\"]\n  24 -> 28 [size =\"37620736\"]\n  25 [size=\"49423360\", alpha=\"0.05\", expect_size=\"19769344\"] \n  25 -> 29 [size =\"19769344\"]\n  25 -> 30 [size =\"19769344\"]\n  26 [size=\"105966080\", alpha=\"0.19\", expect_size=\"42386432\"] \n  26 -> 31 [size =\"42386432\"]\n  27 [size=\"108979200\", alpha=\"0.03\", expect_size=\"43591680\"] \n  27 -> 31 [size =\"43591680\"]\n  27 -> 32 [size =\"43591680\"]\n  28 [size=\"104243200\", alpha=\"0.10\", expect_size=\"41697280\"] \n  28 -> 29 [size =\"41697280\"]\n  28 -> 30 [size =\"41697280\"]\n  28 -> 31 [size =\"41697280\"]\n  28 -> 32 [size =\"41697280\"]\n  29 [size=\"100111360\", alpha=\"0.01\", expect_size=\"40044544\"] \n  29 -> 33 [size =\"40044544\"]\n  29 -> 35 [size =\"40044544\"]\n  30 [size=\"79864320\", alpha=\"0.09\", expect_size=\"31945728\"] \n  30 -> 33 [size =\"31945728\"]\n  31 [size=\"59374080\", alpha=\"0.11\", expect_size=\"23749632\"] \n  32 [size=\"75614720\", alpha=\"0.04\", expect_size=\"30245888\"] \n  32 -> 33 [size =\"30245888\"]\n  32 -> 34 [size =\"30245888\"]\n  32 -> 35 [size =\"30245888\"]\n  33 [size=\"120719360\", alpha=\"0.19\", expect_size=\"48287744\"] \n  33 -> 36 [size =\"48287744\"]\n  34 [size=\"110451200\", alpha=\"0.18\", expect_size=\"44180480\"] \n  35 [size=\"88017920\", alpha=\"0.03\", expect_size=\"35207168\"] \n  35 -> 36 [size =\"35207168\"]\n  36 [size=\"117483520\", alpha=\"0.07\", expect_size=\"46993408\"] \n  36 -> 37 [size =\"46993408\"]\n  36 -> 38 [size =\"46993408\"]\n  37 [size=\"111541760\", alpha=\"0.11\", expect_size=\"44616704\"] \n  37 -> 39 [size =\"44616704\"]\n  37 -> 40 [size =\"44616704\"]\n  38 [size=\"128481280\", alpha=\"0.09\", expect_size=\"51392512\"] \n  38 -> 40 [size =\"51392512\"]\n  39 [size=\"70489600\", alpha=\"0.11\", expect_size=\"28195840\"] \n  40 [size=\"77647360\", alpha=\"0.08\", expect_size=\"31058944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36868096\", alpha=\"0.15\", expect_size=\"18434048\"] \n  1 -> 35 [size =\"18434048\"]\n  1 -> 39 [size =\"18434048\"]\n  1 -> 39 [size =\"18434048\"]\n  2 [size=\"84207616\", alpha=\"0.03\", expect_size=\"42103808\"] \n  3 [size=\"97949696\", alpha=\"0.18\", expect_size=\"48974848\"] \n  3 -> 35 [size =\"48974848\"]\n  3 -> 40 [size =\"48974848\"]\n  4 [size=\"31686656\", alpha=\"0.05\", expect_size=\"15843328\"] \n  4 -> 39 [size =\"15843328\"]\n  5 [size=\"99237888\", alpha=\"0.04\", expect_size=\"49618944\"] \n  5 -> 39 [size =\"49618944\"]\n  5 -> 40 [size =\"49618944\"]\n  6 [size=\"65097728\", alpha=\"0.05\", expect_size=\"32548864\"] \n  6 -> 38 [size =\"32548864\"]\n  6 -> 39 [size =\"32548864\"]\n  7 [size=\"91310080\", alpha=\"0.14\", expect_size=\"45655040\"] \n  7 -> 37 [size =\"45655040\"]\n  7 -> 40 [size =\"45655040\"]\n  8 [size=\"102567936\", alpha=\"0.17\", expect_size=\"51283968\"] \n  8 -> 39 [size =\"51283968\"]\n  9 [size=\"23902208\", alpha=\"0.15\", expect_size=\"11951104\"] \n  9 -> 35 [size =\"11951104\"]\n  10 [size=\"56899584\", alpha=\"0.13\", expect_size=\"28449792\"] \n  11 [size=\"58417152\", alpha=\"0.11\", expect_size=\"29208576\"] \n  11 -> 36 [size =\"29208576\"]\n  11 -> 38 [size =\"29208576\"]\n  12 [size=\"35561472\", alpha=\"0.09\", expect_size=\"17780736\"] \n  12 -> 35 [size =\"17780736\"]\n  12 -> 38 [size =\"17780736\"]\n  12 -> 39 [size =\"17780736\"]\n  12 -> 40 [size =\"17780736\"]\n  13 [size=\"50921472\", alpha=\"0.03\", expect_size=\"25460736\"] \n  13 -> 40 [size =\"25460736\"]\n  14 [size=\"39546880\", alpha=\"0.02\", expect_size=\"19773440\"] \n  14 -> 38 [size =\"19773440\"]\n  15 [size=\"62275584\", alpha=\"0.08\", expect_size=\"31137792\"] \n  15 -> 38 [size =\"31137792\"]\n  15 -> 39 [size =\"31137792\"]\n  16 [size=\"79243264\", alpha=\"0.12\", expect_size=\"39621632\"] \n  16 -> 37 [size =\"39621632\"]\n  16 -> 39 [size =\"39621632\"]\n  16 -> 40 [size =\"39621632\"]\n  17 [size=\"103852032\", alpha=\"0.06\", expect_size=\"51926016\"] \n  17 -> 39 [size =\"51926016\"]\n  17 -> 39 [size =\"51926016\"]\n  18 [size=\"75159552\", alpha=\"0.06\", expect_size=\"37579776\"] \n  18 -> 39 [size =\"37579776\"]\n  19 [size=\"59119616\", alpha=\"0.16\", expect_size=\"29559808\"] \n  19 -> 36 [size =\"29559808\"]\n  19 -> 37 [size =\"29559808\"]\n  19 -> 39 [size =\"29559808\"]\n  19 -> 40 [size =\"29559808\"]\n  20 [size=\"34031616\", alpha=\"0.06\", expect_size=\"17015808\"] \n  20 -> 40 [size =\"17015808\"]\n  21 [size=\"97128448\", alpha=\"0.01\", expect_size=\"48564224\"] \n  21 -> 35 [size =\"48564224\"]\n  21 -> 38 [size =\"48564224\"]\n  22 [size=\"54108160\", alpha=\"0.12\", expect_size=\"27054080\"] \n  22 -> 40 [size =\"27054080\"]\n  23 [size=\"96012288\", alpha=\"0.01\", expect_size=\"48006144\"] \n  23 -> 35 [size =\"48006144\"]\n  23 -> 39 [size =\"48006144\"]\n  23 -> 40 [size =\"48006144\"]\n  24 [size=\"14043136\", alpha=\"0.15\", expect_size=\"7021568\"] \n  24 -> 35 [size =\"7021568\"]\n  24 -> 39 [size =\"7021568\"]\n  24 -> 40 [size =\"7021568\"]\n  25 [size=\"21270528\", alpha=\"0.07\", expect_size=\"10635264\"] \n  25 -> 38 [size =\"10635264\"]\n  26 [size=\"56743936\", alpha=\"0.11\", expect_size=\"28371968\"] \n  26 -> 38 [size =\"28371968\"]\n  27 [size=\"21004288\", alpha=\"0.13\", expect_size=\"10502144\"] \n  27 -> 37 [size =\"10502144\"]\n  27 -> 38 [size =\"10502144\"]\n  27 -> 40 [size =\"10502144\"]\n  28 [size=\"49668096\", alpha=\"0.14\", expect_size=\"24834048\"] \n  28 -> 35 [size =\"24834048\"]\n  28 -> 38 [size =\"24834048\"]\n  28 -> 40 [size =\"24834048\"]\n  29 [size=\"76777472\", alpha=\"0.17\", expect_size=\"38388736\"] \n  29 -> 38 [size =\"38388736\"]\n  29 -> 40 [size =\"38388736\"]\n  30 [size=\"58935296\", alpha=\"0.11\", expect_size=\"29467648\"] \n  30 -> 39 [size =\"29467648\"]\n  30 -> 40 [size =\"29467648\"]\n  31 [size=\"86114304\", alpha=\"0.14\", expect_size=\"43057152\"] \n  31 -> 37 [size =\"43057152\"]\n  31 -> 39 [size =\"43057152\"]\n  31 -> 40 [size =\"43057152\"]\n  32 [size=\"90324992\", alpha=\"0.03\", expect_size=\"45162496\"] \n  32 -> 37 [size =\"45162496\"]\n  32 -> 40 [size =\"45162496\"]\n  33 [size=\"50917376\", alpha=\"0.01\", expect_size=\"25458688\"] \n  33 -> 40 [size =\"25458688\"]\n  34 [size=\"55359488\", alpha=\"0.05\", expect_size=\"27679744\"] \n  34 -> 37 [size =\"27679744\"]\n  34 -> 38 [size =\"27679744\"]\n  34 -> 39 [size =\"27679744\"]\n  35 [size=\"30478336\", alpha=\"0.19\", expect_size=\"15239168\"] \n  36 [size=\"65028096\", alpha=\"0.09\", expect_size=\"32514048\"] \n  37 [size=\"24877056\", alpha=\"0.18\", expect_size=\"12438528\"] \n  38 [size=\"85225472\", alpha=\"0.00\", expect_size=\"42612736\"] \n  39 [size=\"55040000\", alpha=\"0.13\", expect_size=\"27520000\"] \n  40 [size=\"42108928\", alpha=\"0.11\", expect_size=\"21054464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78506667\", alpha=\"0.13\", expect_size=\"23552000\"] \n  1 -> 37 [size =\"23552000\"]\n  2 [size=\"53131947\", alpha=\"0.05\", expect_size=\"15939584\"] \n  2 -> 37 [size =\"15939584\"]\n  2 -> 38 [size =\"15939584\"]\n  2 -> 39 [size =\"15939584\"]\n  2 -> 40 [size =\"15939584\"]\n  3 [size=\"102792533\", alpha=\"0.18\", expect_size=\"30837760\"] \n  3 -> 32 [size =\"30837760\"]\n  3 -> 34 [size =\"30837760\"]\n  3 -> 38 [size =\"30837760\"]\n  3 -> 39 [size =\"30837760\"]\n  4 [size=\"25968640\", alpha=\"0.07\", expect_size=\"7790592\"] \n  4 -> 32 [size =\"7790592\"]\n  4 -> 37 [size =\"7790592\"]\n  4 -> 38 [size =\"7790592\"]\n  4 -> 39 [size =\"7790592\"]\n  5 [size=\"85145600\", alpha=\"0.11\", expect_size=\"25543680\"] \n  5 -> 35 [size =\"25543680\"]\n  5 -> 36 [size =\"25543680\"]\n  5 -> 38 [size =\"25543680\"]\n  5 -> 40 [size =\"25543680\"]\n  6 [size=\"35560107\", alpha=\"0.12\", expect_size=\"10668032\"] \n  6 -> 32 [size =\"10668032\"]\n  6 -> 34 [size =\"10668032\"]\n  6 -> 35 [size =\"10668032\"]\n  6 -> 37 [size =\"10668032\"]\n  6 -> 38 [size =\"10668032\"]\n  7 [size=\"19077120\", alpha=\"0.02\", expect_size=\"5723136\"] \n  7 -> 35 [size =\"5723136\"]\n  7 -> 37 [size =\"5723136\"]\n  7 -> 40 [size =\"5723136\"]\n  8 [size=\"132044800\", alpha=\"0.06\", expect_size=\"39613440\"] \n  8 -> 37 [size =\"39613440\"]\n  9 [size=\"29057707\", alpha=\"0.08\", expect_size=\"8717312\"] \n  9 -> 35 [size =\"8717312\"]\n  9 -> 40 [size =\"8717312\"]\n  10 [size=\"38406827\", alpha=\"0.01\", expect_size=\"11522048\"] \n  10 -> 38 [size =\"11522048\"]\n  11 [size=\"171158187\", alpha=\"0.02\", expect_size=\"51347456\"] \n  11 -> 32 [size =\"51347456\"]\n  11 -> 36 [size =\"51347456\"]\n  11 -> 38 [size =\"51347456\"]\n  11 -> 39 [size =\"51347456\"]\n  11 -> 40 [size =\"51347456\"]\n  12 [size=\"112602453\", alpha=\"0.14\", expect_size=\"33780736\"] \n  12 -> 36 [size =\"33780736\"]\n  12 -> 38 [size =\"33780736\"]\n  13 [size=\"152668160\", alpha=\"0.11\", expect_size=\"45800448\"] \n  13 -> 35 [size =\"45800448\"]\n  13 -> 36 [size =\"45800448\"]\n  13 -> 39 [size =\"45800448\"]\n  14 [size=\"137007787\", alpha=\"0.06\", expect_size=\"41102336\"] \n  14 -> 37 [size =\"41102336\"]\n  15 [size=\"34218667\", alpha=\"0.11\", expect_size=\"10265600\"] \n  15 -> 33 [size =\"10265600\"]\n  15 -> 37 [size =\"10265600\"]\n  15 -> 39 [size =\"10265600\"]\n  16 [size=\"119971840\", alpha=\"0.04\", expect_size=\"35991552\"] \n  16 -> 33 [size =\"35991552\"]\n  16 -> 35 [size =\"35991552\"]\n  16 -> 37 [size =\"35991552\"]\n  16 -> 39 [size =\"35991552\"]\n  17 [size=\"54971733\", alpha=\"0.19\", expect_size=\"16491520\"] \n  17 -> 32 [size =\"16491520\"]\n  17 -> 37 [size =\"16491520\"]\n  17 -> 39 [size =\"16491520\"]\n  17 -> 39 [size =\"16491520\"]\n  18 [size=\"71335253\", alpha=\"0.08\", expect_size=\"21400576\"] \n  18 -> 32 [size =\"21400576\"]\n  18 -> 35 [size =\"21400576\"]\n  18 -> 37 [size =\"21400576\"]\n  18 -> 39 [size =\"21400576\"]\n  18 -> 40 [size =\"21400576\"]\n  19 [size=\"117149013\", alpha=\"0.17\", expect_size=\"35144704\"] \n  19 -> 35 [size =\"35144704\"]\n  19 -> 36 [size =\"35144704\"]\n  20 [size=\"26262187\", alpha=\"0.11\", expect_size=\"7878656\"] \n  20 -> 32 [size =\"7878656\"]\n  20 -> 39 [size =\"7878656\"]\n  21 [size=\"37857280\", alpha=\"0.14\", expect_size=\"11357184\"] \n  21 -> 32 [size =\"11357184\"]\n  21 -> 40 [size =\"11357184\"]\n  22 [size=\"52026027\", alpha=\"0.00\", expect_size=\"15607808\"] \n  22 -> 32 [size =\"15607808\"]\n  22 -> 39 [size =\"15607808\"]\n  22 -> 40 [size =\"15607808\"]\n  23 [size=\"164157440\", alpha=\"0.18\", expect_size=\"49247232\"] \n  23 -> 35 [size =\"49247232\"]\n  23 -> 37 [size =\"49247232\"]\n  23 -> 40 [size =\"49247232\"]\n  24 [size=\"96679253\", alpha=\"0.16\", expect_size=\"29003776\"] \n  24 -> 33 [size =\"29003776\"]\n  24 -> 35 [size =\"29003776\"]\n  24 -> 37 [size =\"29003776\"]\n  24 -> 40 [size =\"29003776\"]\n  25 [size=\"147121493\", alpha=\"0.04\", expect_size=\"44136448\"] \n  25 -> 35 [size =\"44136448\"]\n  25 -> 35 [size =\"44136448\"]\n  25 -> 36 [size =\"44136448\"]\n  25 -> 40 [size =\"44136448\"]\n  26 [size=\"75086507\", alpha=\"0.13\", expect_size=\"22525952\"] \n  26 -> 32 [size =\"22525952\"]\n  26 -> 35 [size =\"22525952\"]\n  26 -> 37 [size =\"22525952\"]\n  26 -> 39 [size =\"22525952\"]\n  27 [size=\"103031467\", alpha=\"0.03\", expect_size=\"30909440\"] \n  27 -> 32 [size =\"30909440\"]\n  27 -> 35 [size =\"30909440\"]\n  27 -> 36 [size =\"30909440\"]\n  27 -> 37 [size =\"30909440\"]\n  27 -> 38 [size =\"30909440\"]\n  27 -> 39 [size =\"30909440\"]\n  28 [size=\"98914987\", alpha=\"0.07\", expect_size=\"29674496\"] \n  28 -> 32 [size =\"29674496\"]\n  28 -> 34 [size =\"29674496\"]\n  28 -> 38 [size =\"29674496\"]\n  29 [size=\"165529600\", alpha=\"0.13\", expect_size=\"49658880\"] \n  29 -> 32 [size =\"49658880\"]\n  29 -> 35 [size =\"49658880\"]\n  29 -> 37 [size =\"49658880\"]\n  29 -> 38 [size =\"49658880\"]\n  30 [size=\"141523627\", alpha=\"0.02\", expect_size=\"42457088\"] \n  30 -> 32 [size =\"42457088\"]\n  30 -> 37 [size =\"42457088\"]\n  31 [size=\"73611947\", alpha=\"0.10\", expect_size=\"22083584\"] \n  31 -> 32 [size =\"22083584\"]\n  31 -> 35 [size =\"22083584\"]\n  31 -> 36 [size =\"22083584\"]\n  31 -> 37 [size =\"22083584\"]\n  31 -> 40 [size =\"22083584\"]\n  32 [size=\"22831787\", alpha=\"0.10\", expect_size=\"6849536\"] \n  33 [size=\"24835413\", alpha=\"0.07\", expect_size=\"7450624\"] \n  34 [size=\"164942507\", alpha=\"0.19\", expect_size=\"49482752\"] \n  35 [size=\"137069227\", alpha=\"0.14\", expect_size=\"41120768\"] \n  36 [size=\"166181547\", alpha=\"0.02\", expect_size=\"49854464\"] \n  37 [size=\"113073493\", alpha=\"0.14\", expect_size=\"33922048\"] \n  38 [size=\"136635733\", alpha=\"0.13\", expect_size=\"40990720\"] \n  39 [size=\"36860587\", alpha=\"0.05\", expect_size=\"11058176\"] \n  40 [size=\"139909120\", alpha=\"0.18\", expect_size=\"41972736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96378880\", alpha=\"0.10\", expect_size=\"48189440\"] \n  1 -> 5 [size =\"48189440\"]\n  2 [size=\"49420288\", alpha=\"0.08\", expect_size=\"24710144\"] \n  3 [size=\"58830848\", alpha=\"0.08\", expect_size=\"29415424\"] \n  3 -> 5 [size =\"29415424\"]\n  3 -> 6 [size =\"29415424\"]\n  4 [size=\"34363392\", alpha=\"0.16\", expect_size=\"17181696\"] \n  4 -> 5 [size =\"17181696\"]\n  5 [size=\"68132864\", alpha=\"0.19\", expect_size=\"34066432\"] \n  6 [size=\"55754752\", alpha=\"0.09\", expect_size=\"27877376\"] \n  6 -> 7 [size =\"27877376\"]\n  6 -> 8 [size =\"27877376\"]\n  7 [size=\"23392256\", alpha=\"0.02\", expect_size=\"11696128\"] \n  7 -> 9 [size =\"11696128\"]\n  7 -> 11 [size =\"11696128\"]\n  8 [size=\"55984128\", alpha=\"0.15\", expect_size=\"27992064\"] \n  8 -> 10 [size =\"27992064\"]\n  9 [size=\"58613760\", alpha=\"0.13\", expect_size=\"29306880\"] \n  9 -> 13 [size =\"29306880\"]\n  10 [size=\"63584256\", alpha=\"0.01\", expect_size=\"31792128\"] \n  10 -> 12 [size =\"31792128\"]\n  11 [size=\"76873728\", alpha=\"0.14\", expect_size=\"38436864\"] \n  11 -> 12 [size =\"38436864\"]\n  11 -> 13 [size =\"38436864\"]\n  12 [size=\"31791104\", alpha=\"0.17\", expect_size=\"15895552\"] \n  12 -> 14 [size =\"15895552\"]\n  12 -> 15 [size =\"15895552\"]\n  12 -> 16 [size =\"15895552\"]\n  13 [size=\"69978112\", alpha=\"0.06\", expect_size=\"34989056\"] \n  14 [size=\"14174208\", alpha=\"0.16\", expect_size=\"7087104\"] \n  14 -> 18 [size =\"7087104\"]\n  15 [size=\"91027456\", alpha=\"0.12\", expect_size=\"45513728\"] \n  15 -> 18 [size =\"45513728\"]\n  16 [size=\"86499328\", alpha=\"0.10\", expect_size=\"43249664\"] \n  16 -> 17 [size =\"43249664\"]\n  17 [size=\"34105344\", alpha=\"0.19\", expect_size=\"17052672\"] \n  17 -> 21 [size =\"17052672\"]\n  17 -> 22 [size =\"17052672\"]\n  18 [size=\"44724224\", alpha=\"0.04\", expect_size=\"22362112\"] \n  18 -> 19 [size =\"22362112\"]\n  18 -> 20 [size =\"22362112\"]\n  18 -> 22 [size =\"22362112\"]\n  19 [size=\"22571008\", alpha=\"0.18\", expect_size=\"11285504\"] \n  20 [size=\"83185664\", alpha=\"0.11\", expect_size=\"41592832\"] \n  20 -> 23 [size =\"41592832\"]\n  20 -> 24 [size =\"41592832\"]\n  20 -> 25 [size =\"41592832\"]\n  21 [size=\"88375296\", alpha=\"0.02\", expect_size=\"44187648\"] \n  21 -> 24 [size =\"44187648\"]\n  22 [size=\"59850752\", alpha=\"0.01\", expect_size=\"29925376\"] \n  22 -> 23 [size =\"29925376\"]\n  23 [size=\"45879296\", alpha=\"0.11\", expect_size=\"22939648\"] \n  24 [size=\"76267520\", alpha=\"0.06\", expect_size=\"38133760\"] \n  25 [size=\"58793984\", alpha=\"0.13\", expect_size=\"29396992\"] \n  25 -> 26 [size =\"29396992\"]\n  26 [size=\"18737152\", alpha=\"0.09\", expect_size=\"9368576\"] \n  26 -> 27 [size =\"9368576\"]\n  26 -> 28 [size =\"9368576\"]\n  27 [size=\"66572288\", alpha=\"0.08\", expect_size=\"33286144\"] \n  27 -> 31 [size =\"33286144\"]\n  27 -> 32 [size =\"33286144\"]\n  28 [size=\"60399616\", alpha=\"0.17\", expect_size=\"30199808\"] \n  28 -> 29 [size =\"30199808\"]\n  28 -> 30 [size =\"30199808\"]\n  29 [size=\"80021504\", alpha=\"0.16\", expect_size=\"40010752\"] \n  29 -> 33 [size =\"40010752\"]\n  30 [size=\"70748160\", alpha=\"0.06\", expect_size=\"35374080\"] \n  31 [size=\"27990016\", alpha=\"0.11\", expect_size=\"13995008\"] \n  32 [size=\"37644288\", alpha=\"0.20\", expect_size=\"18822144\"] \n  33 [size=\"44275712\", alpha=\"0.01\", expect_size=\"22137856\"] \n  33 -> 34 [size =\"22137856\"]\n  33 -> 35 [size =\"22137856\"]\n  33 -> 36 [size =\"22137856\"]\n  33 -> 37 [size =\"22137856\"]\n  34 [size=\"96227328\", alpha=\"0.04\", expect_size=\"48113664\"] \n  34 -> 38 [size =\"48113664\"]\n  35 [size=\"28637184\", alpha=\"0.03\", expect_size=\"14318592\"] \n  35 -> 39 [size =\"14318592\"]\n  36 [size=\"87896064\", alpha=\"0.18\", expect_size=\"43948032\"] \n  37 [size=\"36157440\", alpha=\"0.19\", expect_size=\"18078720\"] \n  38 [size=\"75073536\", alpha=\"0.07\", expect_size=\"37536768\"] \n  38 -> 40 [size =\"37536768\"]\n  39 [size=\"61399040\", alpha=\"0.17\", expect_size=\"30699520\"] \n  40 [size=\"43261952\", alpha=\"0.03\", expect_size=\"21630976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143595520\", alpha=\"0.12\", expect_size=\"43078656\"] \n  1 -> 21 [size =\"43078656\"]\n  1 -> 23 [size =\"43078656\"]\n  1 -> 32 [size =\"43078656\"]\n  1 -> 36 [size =\"43078656\"]\n  1 -> 38 [size =\"43078656\"]\n  2 [size=\"28921173\", alpha=\"0.15\", expect_size=\"8676352\"] \n  2 -> 22 [size =\"8676352\"]\n  2 -> 28 [size =\"8676352\"]\n  2 -> 29 [size =\"8676352\"]\n  2 -> 30 [size =\"8676352\"]\n  2 -> 33 [size =\"8676352\"]\n  3 [size=\"128133120\", alpha=\"0.14\", expect_size=\"38439936\"] \n  3 -> 29 [size =\"38439936\"]\n  3 -> 30 [size =\"38439936\"]\n  3 -> 32 [size =\"38439936\"]\n  3 -> 36 [size =\"38439936\"]\n  4 [size=\"153176747\", alpha=\"0.08\", expect_size=\"45953024\"] \n  4 -> 24 [size =\"45953024\"]\n  4 -> 28 [size =\"45953024\"]\n  4 -> 31 [size =\"45953024\"]\n  4 -> 38 [size =\"45953024\"]\n  5 [size=\"106949973\", alpha=\"0.04\", expect_size=\"32084992\"] \n  5 -> 21 [size =\"32084992\"]\n  5 -> 23 [size =\"32084992\"]\n  5 -> 28 [size =\"32084992\"]\n  5 -> 29 [size =\"32084992\"]\n  5 -> 30 [size =\"32084992\"]\n  5 -> 38 [size =\"32084992\"]\n  6 [size=\"162034347\", alpha=\"0.16\", expect_size=\"48610304\"] \n  6 -> 21 [size =\"48610304\"]\n  6 -> 28 [size =\"48610304\"]\n  6 -> 32 [size =\"48610304\"]\n  6 -> 33 [size =\"48610304\"]\n  7 [size=\"100106240\", alpha=\"0.14\", expect_size=\"30031872\"] \n  7 -> 21 [size =\"30031872\"]\n  7 -> 26 [size =\"30031872\"]\n  7 -> 28 [size =\"30031872\"]\n  7 -> 29 [size =\"30031872\"]\n  7 -> 30 [size =\"30031872\"]\n  7 -> 35 [size =\"30031872\"]\n  7 -> 36 [size =\"30031872\"]\n  7 -> 38 [size =\"30031872\"]\n  8 [size=\"156241920\", alpha=\"0.09\", expect_size=\"46872576\"] \n  8 -> 21 [size =\"46872576\"]\n  8 -> 24 [size =\"46872576\"]\n  8 -> 28 [size =\"46872576\"]\n  8 -> 29 [size =\"46872576\"]\n  8 -> 30 [size =\"46872576\"]\n  8 -> 37 [size =\"46872576\"]\n  8 -> 38 [size =\"46872576\"]\n  9 [size=\"52428800\", alpha=\"0.18\", expect_size=\"15728640\"] \n  9 -> 21 [size =\"15728640\"]\n  9 -> 28 [size =\"15728640\"]\n  9 -> 29 [size =\"15728640\"]\n  9 -> 30 [size =\"15728640\"]\n  9 -> 32 [size =\"15728640\"]\n  9 -> 34 [size =\"15728640\"]\n  9 -> 36 [size =\"15728640\"]\n  10 [size=\"128180907\", alpha=\"0.18\", expect_size=\"38454272\"] \n  10 -> 22 [size =\"38454272\"]\n  10 -> 29 [size =\"38454272\"]\n  10 -> 31 [size =\"38454272\"]\n  10 -> 38 [size =\"38454272\"]\n  11 [size=\"144134827\", alpha=\"0.15\", expect_size=\"43240448\"] \n  11 -> 21 [size =\"43240448\"]\n  11 -> 29 [size =\"43240448\"]\n  11 -> 33 [size =\"43240448\"]\n  12 [size=\"83319467\", alpha=\"0.14\", expect_size=\"24995840\"] \n  12 -> 21 [size =\"24995840\"]\n  12 -> 28 [size =\"24995840\"]\n  12 -> 29 [size =\"24995840\"]\n  12 -> 30 [size =\"24995840\"]\n  13 [size=\"46899200\", alpha=\"0.13\", expect_size=\"14069760\"] \n  13 -> 21 [size =\"14069760\"]\n  13 -> 24 [size =\"14069760\"]\n  13 -> 28 [size =\"14069760\"]\n  13 -> 36 [size =\"14069760\"]\n  13 -> 38 [size =\"14069760\"]\n  14 [size=\"158023680\", alpha=\"0.14\", expect_size=\"47407104\"] \n  14 -> 21 [size =\"47407104\"]\n  14 -> 23 [size =\"47407104\"]\n  14 -> 24 [size =\"47407104\"]\n  14 -> 28 [size =\"47407104\"]\n  14 -> 29 [size =\"47407104\"]\n  14 -> 32 [size =\"47407104\"]\n  14 -> 38 [size =\"47407104\"]\n  15 [size=\"64068267\", alpha=\"0.10\", expect_size=\"19220480\"] \n  15 -> 21 [size =\"19220480\"]\n  15 -> 23 [size =\"19220480\"]\n  15 -> 24 [size =\"19220480\"]\n  15 -> 26 [size =\"19220480\"]\n  15 -> 29 [size =\"19220480\"]\n  15 -> 30 [size =\"19220480\"]\n  15 -> 36 [size =\"19220480\"]\n  15 -> 38 [size =\"19220480\"]\n  16 [size=\"92282880\", alpha=\"0.05\", expect_size=\"27684864\"] \n  16 -> 22 [size =\"27684864\"]\n  16 -> 23 [size =\"27684864\"]\n  16 -> 24 [size =\"27684864\"]\n  16 -> 25 [size =\"27684864\"]\n  16 -> 27 [size =\"27684864\"]\n  16 -> 29 [size =\"27684864\"]\n  16 -> 30 [size =\"27684864\"]\n  16 -> 32 [size =\"27684864\"]\n  16 -> 33 [size =\"27684864\"]\n  16 -> 34 [size =\"27684864\"]\n  16 -> 38 [size =\"27684864\"]\n  17 [size=\"62190933\", alpha=\"0.14\", expect_size=\"18657280\"] \n  17 -> 23 [size =\"18657280\"]\n  17 -> 23 [size =\"18657280\"]\n  17 -> 24 [size =\"18657280\"]\n  17 -> 28 [size =\"18657280\"]\n  17 -> 31 [size =\"18657280\"]\n  17 -> 34 [size =\"18657280\"]\n  18 [size=\"18783573\", alpha=\"0.08\", expect_size=\"5635072\"] \n  18 -> 21 [size =\"5635072\"]\n  18 -> 23 [size =\"5635072\"]\n  18 -> 28 [size =\"5635072\"]\n  18 -> 32 [size =\"5635072\"]\n  18 -> 33 [size =\"5635072\"]\n  18 -> 34 [size =\"5635072\"]\n  19 [size=\"85862400\", alpha=\"0.15\", expect_size=\"25758720\"] \n  19 -> 21 [size =\"25758720\"]\n  19 -> 23 [size =\"25758720\"]\n  19 -> 32 [size =\"25758720\"]\n  19 -> 34 [size =\"25758720\"]\n  19 -> 37 [size =\"25758720\"]\n  19 -> 38 [size =\"25758720\"]\n  20 [size=\"70987093\", alpha=\"0.03\", expect_size=\"21296128\"] \n  20 -> 21 [size =\"21296128\"]\n  20 -> 24 [size =\"21296128\"]\n  20 -> 29 [size =\"21296128\"]\n  20 -> 32 [size =\"21296128\"]\n  20 -> 33 [size =\"21296128\"]\n  20 -> 37 [size =\"21296128\"]\n  20 -> 38 [size =\"21296128\"]\n  21 [size=\"56159573\", alpha=\"0.07\", expect_size=\"16847872\"] \n  21 -> 39 [size =\"16847872\"]\n  22 [size=\"20688213\", alpha=\"0.12\", expect_size=\"6206464\"] \n  23 [size=\"133208747\", alpha=\"0.12\", expect_size=\"39962624\"] \n  24 [size=\"79902720\", alpha=\"0.09\", expect_size=\"23970816\"] \n  24 -> 40 [size =\"23970816\"]\n  25 [size=\"36457813\", alpha=\"0.17\", expect_size=\"10937344\"] \n  25 -> 39 [size =\"10937344\"]\n  26 [size=\"116121600\", alpha=\"0.04\", expect_size=\"34836480\"] \n  26 -> 39 [size =\"34836480\"]\n  27 [size=\"156084907\", alpha=\"0.01\", expect_size=\"46825472\"] \n  28 [size=\"106646187\", alpha=\"0.16\", expect_size=\"31993856\"] \n  29 [size=\"171728213\", alpha=\"0.15\", expect_size=\"51518464\"] \n  30 [size=\"129181013\", alpha=\"0.09\", expect_size=\"38754304\"] \n  30 -> 39 [size =\"38754304\"]\n  31 [size=\"150364160\", alpha=\"0.18\", expect_size=\"45109248\"] \n  32 [size=\"46820693\", alpha=\"0.16\", expect_size=\"14046208\"] \n  32 -> 40 [size =\"14046208\"]\n  33 [size=\"144578560\", alpha=\"0.18\", expect_size=\"43373568\"] \n  33 -> 40 [size =\"43373568\"]\n  34 [size=\"82428587\", alpha=\"0.17\", expect_size=\"24728576\"] \n  35 [size=\"153367893\", alpha=\"0.02\", expect_size=\"46010368\"] \n  35 -> 39 [size =\"46010368\"]\n  36 [size=\"132293973\", alpha=\"0.17\", expect_size=\"39688192\"] \n  37 [size=\"163764907\", alpha=\"0.18\", expect_size=\"49129472\"] \n  38 [size=\"173131093\", alpha=\"0.19\", expect_size=\"51939328\"] \n  38 -> 39 [size =\"51939328\"]\n  38 -> 40 [size =\"51939328\"]\n  39 [size=\"141868373\", alpha=\"0.08\", expect_size=\"42560512\"] \n  40 [size=\"104929280\", alpha=\"0.04\", expect_size=\"31478784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26084693\", alpha=\"0.19\", expect_size=\"7825408\"] \n  1 -> 12 [size =\"7825408\"]\n  1 -> 19 [size =\"7825408\"]\n  2 [size=\"174219947\", alpha=\"0.14\", expect_size=\"52265984\"] \n  2 -> 16 [size =\"52265984\"]\n  2 -> 17 [size =\"52265984\"]\n  3 [size=\"139560960\", alpha=\"0.17\", expect_size=\"41868288\"] \n  3 -> 12 [size =\"41868288\"]\n  3 -> 13 [size =\"41868288\"]\n  3 -> 16 [size =\"41868288\"]\n  3 -> 17 [size =\"41868288\"]\n  3 -> 19 [size =\"41868288\"]\n  4 [size=\"157392213\", alpha=\"0.19\", expect_size=\"47217664\"] \n  4 -> 11 [size =\"47217664\"]\n  4 -> 16 [size =\"47217664\"]\n  4 -> 19 [size =\"47217664\"]\n  5 [size=\"79008427\", alpha=\"0.04\", expect_size=\"23702528\"] \n  5 -> 13 [size =\"23702528\"]\n  5 -> 17 [size =\"23702528\"]\n  5 -> 19 [size =\"23702528\"]\n  6 [size=\"136833707\", alpha=\"0.09\", expect_size=\"41050112\"] \n  6 -> 11 [size =\"41050112\"]\n  6 -> 13 [size =\"41050112\"]\n  6 -> 17 [size =\"41050112\"]\n  6 -> 19 [size =\"41050112\"]\n  7 [size=\"22671360\", alpha=\"0.02\", expect_size=\"6801408\"] \n  7 -> 14 [size =\"6801408\"]\n  7 -> 18 [size =\"6801408\"]\n  7 -> 19 [size =\"6801408\"]\n  8 [size=\"48629760\", alpha=\"0.07\", expect_size=\"14588928\"] \n  8 -> 13 [size =\"14588928\"]\n  8 -> 16 [size =\"14588928\"]\n  8 -> 18 [size =\"14588928\"]\n  9 [size=\"56302933\", alpha=\"0.19\", expect_size=\"16890880\"] \n  9 -> 11 [size =\"16890880\"]\n  9 -> 12 [size =\"16890880\"]\n  9 -> 15 [size =\"16890880\"]\n  9 -> 16 [size =\"16890880\"]\n  9 -> 20 [size =\"16890880\"]\n  10 [size=\"79366827\", alpha=\"0.02\", expect_size=\"23810048\"] \n  10 -> 11 [size =\"23810048\"]\n  10 -> 12 [size =\"23810048\"]\n  11 [size=\"170103467\", alpha=\"0.00\", expect_size=\"51031040\"] \n  11 -> 21 [size =\"51031040\"]\n  11 -> 23 [size =\"51031040\"]\n  11 -> 28 [size =\"51031040\"]\n  12 [size=\"161235627\", alpha=\"0.02\", expect_size=\"48370688\"] \n  12 -> 21 [size =\"48370688\"]\n  12 -> 22 [size =\"48370688\"]\n  12 -> 26 [size =\"48370688\"]\n  12 -> 28 [size =\"48370688\"]\n  12 -> 30 [size =\"48370688\"]\n  13 [size=\"113390933\", alpha=\"0.16\", expect_size=\"34017280\"] \n  13 -> 22 [size =\"34017280\"]\n  13 -> 30 [size =\"34017280\"]\n  14 [size=\"93631147\", alpha=\"0.06\", expect_size=\"28089344\"] \n  14 -> 24 [size =\"28089344\"]\n  15 [size=\"84179627\", alpha=\"0.05\", expect_size=\"25253888\"] \n  15 -> 25 [size =\"25253888\"]\n  15 -> 26 [size =\"25253888\"]\n  15 -> 29 [size =\"25253888\"]\n  15 -> 30 [size =\"25253888\"]\n  16 [size=\"116206933\", alpha=\"0.18\", expect_size=\"34862080\"] \n  16 -> 21 [size =\"34862080\"]\n  16 -> 22 [size =\"34862080\"]\n  16 -> 23 [size =\"34862080\"]\n  16 -> 24 [size =\"34862080\"]\n  16 -> 26 [size =\"34862080\"]\n  17 [size=\"25995947\", alpha=\"0.16\", expect_size=\"7798784\"] \n  17 -> 21 [size =\"7798784\"]\n  17 -> 23 [size =\"7798784\"]\n  17 -> 23 [size =\"7798784\"]\n  17 -> 24 [size =\"7798784\"]\n  17 -> 26 [size =\"7798784\"]\n  17 -> 30 [size =\"7798784\"]\n  18 [size=\"38782293\", alpha=\"0.17\", expect_size=\"11634688\"] \n  18 -> 21 [size =\"11634688\"]\n  18 -> 23 [size =\"11634688\"]\n  18 -> 24 [size =\"11634688\"]\n  18 -> 27 [size =\"11634688\"]\n  18 -> 29 [size =\"11634688\"]\n  18 -> 30 [size =\"11634688\"]\n  19 [size=\"92538880\", alpha=\"0.09\", expect_size=\"27761664\"] \n  19 -> 21 [size =\"27761664\"]\n  19 -> 24 [size =\"27761664\"]\n  20 [size=\"87340373\", alpha=\"0.06\", expect_size=\"26202112\"] \n  20 -> 23 [size =\"26202112\"]\n  20 -> 24 [size =\"26202112\"]\n  20 -> 29 [size =\"26202112\"]\n  21 [size=\"100488533\", alpha=\"0.03\", expect_size=\"30146560\"] \n  21 -> 31 [size =\"30146560\"]\n  21 -> 32 [size =\"30146560\"]\n  21 -> 35 [size =\"30146560\"]\n  21 -> 36 [size =\"30146560\"]\n  22 [size=\"103973547\", alpha=\"0.20\", expect_size=\"31192064\"] \n  22 -> 31 [size =\"31192064\"]\n  22 -> 35 [size =\"31192064\"]\n  22 -> 38 [size =\"31192064\"]\n  22 -> 40 [size =\"31192064\"]\n  23 [size=\"120442880\", alpha=\"0.12\", expect_size=\"36132864\"] \n  23 -> 31 [size =\"36132864\"]\n  23 -> 35 [size =\"36132864\"]\n  23 -> 37 [size =\"36132864\"]\n  23 -> 38 [size =\"36132864\"]\n  24 [size=\"92248747\", alpha=\"0.03\", expect_size=\"27674624\"] \n  24 -> 31 [size =\"27674624\"]\n  24 -> 34 [size =\"27674624\"]\n  24 -> 38 [size =\"27674624\"]\n  24 -> 40 [size =\"27674624\"]\n  25 [size=\"143202987\", alpha=\"0.01\", expect_size=\"42960896\"] \n  25 -> 32 [size =\"42960896\"]\n  26 [size=\"24483840\", alpha=\"0.15\", expect_size=\"7345152\"] \n  26 -> 31 [size =\"7345152\"]\n  26 -> 36 [size =\"7345152\"]\n  27 [size=\"169427627\", alpha=\"0.09\", expect_size=\"50828288\"] \n  27 -> 37 [size =\"50828288\"]\n  28 [size=\"138270720\", alpha=\"0.07\", expect_size=\"41481216\"] \n  28 -> 32 [size =\"41481216\"]\n  28 -> 33 [size =\"41481216\"]\n  28 -> 37 [size =\"41481216\"]\n  28 -> 40 [size =\"41481216\"]\n  29 [size=\"113377280\", alpha=\"0.10\", expect_size=\"34013184\"] \n  29 -> 31 [size =\"34013184\"]\n  29 -> 32 [size =\"34013184\"]\n  29 -> 34 [size =\"34013184\"]\n  29 -> 40 [size =\"34013184\"]\n  30 [size=\"30419627\", alpha=\"0.01\", expect_size=\"9125888\"] \n  30 -> 32 [size =\"9125888\"]\n  30 -> 32 [size =\"9125888\"]\n  30 -> 34 [size =\"9125888\"]\n  30 -> 35 [size =\"9125888\"]\n  30 -> 39 [size =\"9125888\"]\n  31 [size=\"73987413\", alpha=\"0.11\", expect_size=\"22196224\"] \n  32 [size=\"95406080\", alpha=\"0.19\", expect_size=\"28621824\"] \n  33 [size=\"94136320\", alpha=\"0.00\", expect_size=\"28240896\"] \n  34 [size=\"34979840\", alpha=\"0.11\", expect_size=\"10493952\"] \n  35 [size=\"57849173\", alpha=\"0.10\", expect_size=\"17354752\"] \n  36 [size=\"66996907\", alpha=\"0.01\", expect_size=\"20099072\"] \n  37 [size=\"24490667\", alpha=\"0.14\", expect_size=\"7347200\"] \n  38 [size=\"92818773\", alpha=\"0.09\", expect_size=\"27845632\"] \n  39 [size=\"145844907\", alpha=\"0.14\", expect_size=\"43753472\"] \n  40 [size=\"65112747\", alpha=\"0.07\", expect_size=\"19533824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159614293\", alpha=\"0.02\", expect_size=\"47884288\"] \n  1 -> 2 [size =\"47884288\"]\n  2 [size=\"106571093\", alpha=\"0.09\", expect_size=\"31971328\"] \n  2 -> 3 [size =\"31971328\"]\n  3 [size=\"104202240\", alpha=\"0.13\", expect_size=\"31260672\"] \n  3 -> 4 [size =\"31260672\"]\n  4 [size=\"151661227\", alpha=\"0.02\", expect_size=\"45498368\"] \n  4 -> 5 [size =\"45498368\"]\n  5 [size=\"171991040\", alpha=\"0.12\", expect_size=\"51597312\"] \n  5 -> 6 [size =\"51597312\"]\n  6 [size=\"146179413\", alpha=\"0.18\", expect_size=\"43853824\"] \n  6 -> 7 [size =\"43853824\"]\n  7 [size=\"84282027\", alpha=\"0.19\", expect_size=\"25284608\"] \n  7 -> 8 [size =\"25284608\"]\n  8 [size=\"151545173\", alpha=\"0.16\", expect_size=\"45463552\"] \n  8 -> 9 [size =\"45463552\"]\n  9 [size=\"172380160\", alpha=\"0.08\", expect_size=\"51714048\"] \n  9 -> 10 [size =\"51714048\"]\n  10 [size=\"122862933\", alpha=\"0.10\", expect_size=\"36858880\"] \n  10 -> 11 [size =\"36858880\"]\n  11 [size=\"132597760\", alpha=\"0.01\", expect_size=\"39779328\"] \n  11 -> 12 [size =\"39779328\"]\n  12 [size=\"146578773\", alpha=\"0.06\", expect_size=\"43973632\"] \n  12 -> 13 [size =\"43973632\"]\n  13 [size=\"63351467\", alpha=\"0.04\", expect_size=\"19005440\"] \n  13 -> 14 [size =\"19005440\"]\n  14 [size=\"169386667\", alpha=\"0.03\", expect_size=\"50816000\"] \n  14 -> 15 [size =\"50816000\"]\n  15 [size=\"31290027\", alpha=\"0.18\", expect_size=\"9387008\"] \n  15 -> 16 [size =\"9387008\"]\n  16 [size=\"122791253\", alpha=\"0.07\", expect_size=\"36837376\"] \n  16 -> 17 [size =\"36837376\"]\n  17 [size=\"110209707\", alpha=\"0.17\", expect_size=\"33062912\"] \n  17 -> 18 [size =\"33062912\"]\n  18 [size=\"101399893\", alpha=\"0.02\", expect_size=\"30419968\"] \n  18 -> 19 [size =\"30419968\"]\n  19 [size=\"68805973\", alpha=\"0.12\", expect_size=\"20641792\"] \n  19 -> 20 [size =\"20641792\"]\n  20 [size=\"128017067\", alpha=\"0.12\", expect_size=\"38405120\"] \n  20 -> 21 [size =\"38405120\"]\n  21 [size=\"47626240\", alpha=\"0.11\", expect_size=\"14287872\"] \n  21 -> 22 [size =\"14287872\"]\n  22 [size=\"57600000\", alpha=\"0.01\", expect_size=\"17280000\"] \n  22 -> 23 [size =\"17280000\"]\n  23 [size=\"104963413\", alpha=\"0.02\", expect_size=\"31489024\"] \n  23 -> 24 [size =\"31489024\"]\n  24 [size=\"133485227\", alpha=\"0.20\", expect_size=\"40045568\"] \n  24 -> 25 [size =\"40045568\"]\n  25 [size=\"153739947\", alpha=\"0.17\", expect_size=\"46121984\"] \n  25 -> 26 [size =\"46121984\"]\n  26 [size=\"139386880\", alpha=\"0.11\", expect_size=\"41816064\"] \n  26 -> 27 [size =\"41816064\"]\n  27 [size=\"40294400\", alpha=\"0.14\", expect_size=\"12088320\"] \n  27 -> 28 [size =\"12088320\"]\n  28 [size=\"170141013\", alpha=\"0.14\", expect_size=\"51042304\"] \n  28 -> 29 [size =\"51042304\"]\n  29 [size=\"25507840\", alpha=\"0.13\", expect_size=\"7652352\"] \n  29 -> 30 [size =\"7652352\"]\n  30 [size=\"115991893\", alpha=\"0.06\", expect_size=\"34797568\"] \n  30 -> 31 [size =\"34797568\"]\n  31 [size=\"53562027\", alpha=\"0.13\", expect_size=\"16068608\"] \n  31 -> 32 [size =\"16068608\"]\n  32 [size=\"137649493\", alpha=\"0.17\", expect_size=\"41294848\"] \n  32 -> 33 [size =\"41294848\"]\n  33 [size=\"142769493\", alpha=\"0.06\", expect_size=\"42830848\"] \n  33 -> 34 [size =\"42830848\"]\n  34 [size=\"155661653\", alpha=\"0.15\", expect_size=\"46698496\"] \n  34 -> 35 [size =\"46698496\"]\n  35 [size=\"153221120\", alpha=\"0.06\", expect_size=\"45966336\"] \n  35 -> 36 [size =\"45966336\"]\n  36 [size=\"132676267\", alpha=\"0.10\", expect_size=\"39802880\"] \n  36 -> 37 [size =\"39802880\"]\n  37 [size=\"65447253\", alpha=\"0.06\", expect_size=\"19634176\"] \n  37 -> 38 [size =\"19634176\"]\n  38 [size=\"18343253\", alpha=\"0.12\", expect_size=\"5502976\"] \n  38 -> 39 [size =\"5502976\"]\n  39 [size=\"125429760\", alpha=\"0.05\", expect_size=\"37628928\"] \n  39 -> 40 [size =\"37628928\"]\n  40 [size=\"69758293\", alpha=\"0.12\", expect_size=\"20927488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34283520\", alpha=\"0.10\", expect_size=\"10285056\"] \n  1 -> 15 [size =\"10285056\"]\n  1 -> 20 [size =\"10285056\"]\n  1 -> 23 [size =\"10285056\"]\n  2 [size=\"36857173\", alpha=\"0.11\", expect_size=\"11057152\"] \n  3 [size=\"172567893\", alpha=\"0.19\", expect_size=\"51770368\"] \n  3 -> 12 [size =\"51770368\"]\n  3 -> 13 [size =\"51770368\"]\n  3 -> 14 [size =\"51770368\"]\n  3 -> 16 [size =\"51770368\"]\n  3 -> 21 [size =\"51770368\"]\n  3 -> 23 [size =\"51770368\"]\n  4 [size=\"60334080\", alpha=\"0.08\", expect_size=\"18100224\"] \n  4 -> 16 [size =\"18100224\"]\n  5 [size=\"98034347\", alpha=\"0.14\", expect_size=\"29410304\"] \n  5 -> 13 [size =\"29410304\"]\n  5 -> 14 [size =\"29410304\"]\n  5 -> 21 [size =\"29410304\"]\n  6 [size=\"158760960\", alpha=\"0.15\", expect_size=\"47628288\"] \n  6 -> 14 [size =\"47628288\"]\n  6 -> 16 [size =\"47628288\"]\n  6 -> 21 [size =\"47628288\"]\n  7 [size=\"56258560\", alpha=\"0.06\", expect_size=\"16877568\"] \n  7 -> 13 [size =\"16877568\"]\n  7 -> 19 [size =\"16877568\"]\n  8 [size=\"119623680\", alpha=\"0.00\", expect_size=\"35887104\"] \n  8 -> 14 [size =\"35887104\"]\n  8 -> 15 [size =\"35887104\"]\n  8 -> 20 [size =\"35887104\"]\n  8 -> 21 [size =\"35887104\"]\n  8 -> 23 [size =\"35887104\"]\n  8 -> 24 [size =\"35887104\"]\n  9 [size=\"126054400\", alpha=\"0.03\", expect_size=\"37816320\"] \n  9 -> 15 [size =\"37816320\"]\n  9 -> 16 [size =\"37816320\"]\n  9 -> 20 [size =\"37816320\"]\n  9 -> 22 [size =\"37816320\"]\n  9 -> 23 [size =\"37816320\"]\n  10 [size=\"129727147\", alpha=\"0.20\", expect_size=\"38918144\"] \n  10 -> 16 [size =\"38918144\"]\n  10 -> 16 [size =\"38918144\"]\n  10 -> 17 [size =\"38918144\"]\n  10 -> 19 [size =\"38918144\"]\n  10 -> 20 [size =\"38918144\"]\n  10 -> 23 [size =\"38918144\"]\n  11 [size=\"64095573\", alpha=\"0.20\", expect_size=\"19228672\"] \n  11 -> 15 [size =\"19228672\"]\n  11 -> 18 [size =\"19228672\"]\n  11 -> 23 [size =\"19228672\"]\n  12 [size=\"145476267\", alpha=\"0.10\", expect_size=\"43642880\"] \n  12 -> 26 [size =\"43642880\"]\n  12 -> 31 [size =\"43642880\"]\n  12 -> 33 [size =\"43642880\"]\n  12 -> 34 [size =\"43642880\"]\n  12 -> 35 [size =\"43642880\"]\n  12 -> 36 [size =\"43642880\"]\n  13 [size=\"73594880\", alpha=\"0.07\", expect_size=\"22078464\"] \n  13 -> 25 [size =\"22078464\"]\n  13 -> 26 [size =\"22078464\"]\n  13 -> 27 [size =\"22078464\"]\n  13 -> 31 [size =\"22078464\"]\n  13 -> 34 [size =\"22078464\"]\n  13 -> 36 [size =\"22078464\"]\n  14 [size=\"68720640\", alpha=\"0.04\", expect_size=\"20616192\"] \n  14 -> 25 [size =\"20616192\"]\n  14 -> 28 [size =\"20616192\"]\n  14 -> 31 [size =\"20616192\"]\n  15 [size=\"133014187\", alpha=\"0.19\", expect_size=\"39904256\"] \n  15 -> 32 [size =\"39904256\"]\n  16 [size=\"84889600\", alpha=\"0.01\", expect_size=\"25466880\"] \n  16 -> 28 [size =\"25466880\"]\n  16 -> 33 [size =\"25466880\"]\n  17 [size=\"44803413\", alpha=\"0.05\", expect_size=\"13441024\"] \n  17 -> 28 [size =\"13441024\"]\n  17 -> 34 [size =\"13441024\"]\n  17 -> 36 [size =\"13441024\"]\n  18 [size=\"92699307\", alpha=\"0.01\", expect_size=\"27809792\"] \n  18 -> 25 [size =\"27809792\"]\n  18 -> 29 [size =\"27809792\"]\n  19 [size=\"94167040\", alpha=\"0.04\", expect_size=\"28250112\"] \n  19 -> 25 [size =\"28250112\"]\n  19 -> 29 [size =\"28250112\"]\n  19 -> 34 [size =\"28250112\"]\n  20 [size=\"121623893\", alpha=\"0.01\", expect_size=\"36487168\"] \n  20 -> 25 [size =\"36487168\"]\n  20 -> 29 [size =\"36487168\"]\n  20 -> 32 [size =\"36487168\"]\n  20 -> 33 [size =\"36487168\"]\n  20 -> 35 [size =\"36487168\"]\n  21 [size=\"119794347\", alpha=\"0.20\", expect_size=\"35938304\"] \n  21 -> 26 [size =\"35938304\"]\n  21 -> 28 [size =\"35938304\"]\n  21 -> 30 [size =\"35938304\"]\n  21 -> 31 [size =\"35938304\"]\n  21 -> 33 [size =\"35938304\"]\n  21 -> 37 [size =\"35938304\"]\n  22 [size=\"117790720\", alpha=\"0.01\", expect_size=\"35337216\"] \n  22 -> 29 [size =\"35337216\"]\n  22 -> 31 [size =\"35337216\"]\n  22 -> 33 [size =\"35337216\"]\n  23 [size=\"36078933\", alpha=\"0.02\", expect_size=\"10823680\"] \n  23 -> 26 [size =\"10823680\"]\n  23 -> 29 [size =\"10823680\"]\n  23 -> 31 [size =\"10823680\"]\n  24 [size=\"89248427\", alpha=\"0.08\", expect_size=\"26774528\"] \n  24 -> 26 [size =\"26774528\"]\n  24 -> 30 [size =\"26774528\"]\n  24 -> 31 [size =\"26774528\"]\n  24 -> 36 [size =\"26774528\"]\n  24 -> 37 [size =\"26774528\"]\n  25 [size=\"122504533\", alpha=\"0.04\", expect_size=\"36751360\"] \n  25 -> 38 [size =\"36751360\"]\n  26 [size=\"115131733\", alpha=\"0.19\", expect_size=\"34539520\"] \n  27 [size=\"124183893\", alpha=\"0.18\", expect_size=\"37255168\"] \n  27 -> 40 [size =\"37255168\"]\n  28 [size=\"167226027\", alpha=\"0.11\", expect_size=\"50167808\"] \n  29 [size=\"17513813\", alpha=\"0.17\", expect_size=\"5254144\"] \n  30 [size=\"52049920\", alpha=\"0.17\", expect_size=\"15614976\"] \n  31 [size=\"59180373\", alpha=\"0.04\", expect_size=\"17754112\"] \n  31 -> 38 [size =\"17754112\"]\n  31 -> 39 [size =\"17754112\"]\n  32 [size=\"55715840\", alpha=\"0.07\", expect_size=\"16714752\"] \n  33 [size=\"61044053\", alpha=\"0.16\", expect_size=\"18313216\"] \n  34 [size=\"72966827\", alpha=\"0.13\", expect_size=\"21890048\"] \n  34 -> 38 [size =\"21890048\"]\n  35 [size=\"134345387\", alpha=\"0.04\", expect_size=\"40303616\"] \n  35 -> 39 [size =\"40303616\"]\n  35 -> 40 [size =\"40303616\"]\n  36 [size=\"168451413\", alpha=\"0.03\", expect_size=\"50535424\"] \n  36 -> 38 [size =\"50535424\"]\n  36 -> 40 [size =\"50535424\"]\n  37 [size=\"159290027\", alpha=\"0.06\", expect_size=\"47787008\"] \n  37 -> 38 [size =\"47787008\"]\n  37 -> 39 [size =\"47787008\"]\n  37 -> 40 [size =\"47787008\"]\n  38 [size=\"145636693\", alpha=\"0.19\", expect_size=\"43691008\"] \n  39 [size=\"72362667\", alpha=\"0.02\", expect_size=\"21708800\"] \n  40 [size=\"48042667\", alpha=\"0.17\", expect_size=\"14412800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110579200\", alpha=\"0.05\", expect_size=\"44231680\"] \n  1 -> 5 [size =\"44231680\"]\n  2 [size=\"22351360\", alpha=\"0.05\", expect_size=\"8940544\"] \n  2 -> 5 [size =\"8940544\"]\n  2 -> 7 [size =\"8940544\"]\n  3 [size=\"113507840\", alpha=\"0.19\", expect_size=\"45403136\"] \n  3 -> 4 [size =\"45403136\"]\n  3 -> 6 [size =\"45403136\"]\n  3 -> 7 [size =\"45403136\"]\n  4 [size=\"43852800\", alpha=\"0.04\", expect_size=\"17541120\"] \n  4 -> 8 [size =\"17541120\"]\n  4 -> 11 [size =\"17541120\"]\n  5 [size=\"59886080\", alpha=\"0.06\", expect_size=\"23954432\"] \n  5 -> 8 [size =\"23954432\"]\n  5 -> 9 [size =\"23954432\"]\n  5 -> 10 [size =\"23954432\"]\n  6 [size=\"119495680\", alpha=\"0.05\", expect_size=\"47798272\"] \n  6 -> 10 [size =\"47798272\"]\n  7 [size=\"109806080\", alpha=\"0.15\", expect_size=\"43922432\"] \n  7 -> 11 [size =\"43922432\"]\n  8 [size=\"43624960\", alpha=\"0.19\", expect_size=\"17449984\"] \n  8 -> 13 [size =\"17449984\"]\n  9 [size=\"55690240\", alpha=\"0.09\", expect_size=\"22276096\"] \n  10 [size=\"76810240\", alpha=\"0.17\", expect_size=\"30724096\"] \n  11 [size=\"59553280\", alpha=\"0.04\", expect_size=\"23821312\"] \n  11 -> 12 [size =\"23821312\"]\n  12 [size=\"91018240\", alpha=\"0.08\", expect_size=\"36407296\"] \n  12 -> 14 [size =\"36407296\"]\n  12 -> 15 [size =\"36407296\"]\n  13 [size=\"119912960\", alpha=\"0.11\", expect_size=\"47965184\"] \n  14 [size=\"114393600\", alpha=\"0.14\", expect_size=\"45757440\"] \n  14 -> 16 [size =\"45757440\"]\n  15 [size=\"18595840\", alpha=\"0.01\", expect_size=\"7438336\"] \n  15 -> 17 [size =\"7438336\"]\n  16 [size=\"53007360\", alpha=\"0.03\", expect_size=\"21202944\"] \n  16 -> 19 [size =\"21202944\"]\n  16 -> 20 [size =\"21202944\"]\n  17 [size=\"84953600\", alpha=\"0.10\", expect_size=\"33981440\"] \n  17 -> 18 [size =\"33981440\"]\n  18 [size=\"54766080\", alpha=\"0.11\", expect_size=\"21906432\"] \n  18 -> 22 [size =\"21906432\"]\n  19 [size=\"49512960\", alpha=\"0.07\", expect_size=\"19805184\"] \n  19 -> 21 [size =\"19805184\"]\n  20 [size=\"103569920\", alpha=\"0.18\", expect_size=\"41427968\"] \n  20 -> 21 [size =\"41427968\"]\n  21 [size=\"83727360\", alpha=\"0.05\", expect_size=\"33490944\"] \n  21 -> 23 [size =\"33490944\"]\n  22 [size=\"107829760\", alpha=\"0.15\", expect_size=\"43131904\"] \n  22 -> 23 [size =\"43131904\"]\n  23 [size=\"39774720\", alpha=\"0.01\", expect_size=\"15909888\"] \n  23 -> 24 [size =\"15909888\"]\n  23 -> 25 [size =\"15909888\"]\n  23 -> 26 [size =\"15909888\"]\n  24 [size=\"107207680\", alpha=\"0.12\", expect_size=\"42883072\"] \n  24 -> 28 [size =\"42883072\"]\n  24 -> 29 [size =\"42883072\"]\n  25 [size=\"68938240\", alpha=\"0.11\", expect_size=\"27575296\"] \n  25 -> 29 [size =\"27575296\"]\n  26 [size=\"74393600\", alpha=\"0.09\", expect_size=\"29757440\"] \n  26 -> 27 [size =\"29757440\"]\n  26 -> 28 [size =\"29757440\"]\n  27 [size=\"92835840\", alpha=\"0.02\", expect_size=\"37134336\"] \n  27 -> 30 [size =\"37134336\"]\n  28 [size=\"32494080\", alpha=\"0.01\", expect_size=\"12997632\"] \n  28 -> 31 [size =\"12997632\"]\n  29 [size=\"98442240\", alpha=\"0.07\", expect_size=\"39376896\"] \n  30 [size=\"20672000\", alpha=\"0.04\", expect_size=\"8268800\"] \n  30 -> 32 [size =\"8268800\"]\n  30 -> 33 [size =\"8268800\"]\n  30 -> 34 [size =\"8268800\"]\n  31 [size=\"125967360\", alpha=\"0.09\", expect_size=\"50386944\"] \n  31 -> 33 [size =\"50386944\"]\n  31 -> 34 [size =\"50386944\"]\n  32 [size=\"39941120\", alpha=\"0.07\", expect_size=\"15976448\"] \n  32 -> 36 [size =\"15976448\"]\n  33 [size=\"125731840\", alpha=\"0.03\", expect_size=\"50292736\"] \n  33 -> 35 [size =\"50292736\"]\n  34 [size=\"129848320\", alpha=\"0.17\", expect_size=\"51939328\"] \n  34 -> 35 [size =\"51939328\"]\n  34 -> 36 [size =\"51939328\"]\n  35 [size=\"83033600\", alpha=\"0.11\", expect_size=\"33213440\"] \n  35 -> 39 [size =\"33213440\"]\n  35 -> 40 [size =\"33213440\"]\n  36 [size=\"32074240\", alpha=\"0.12\", expect_size=\"12829696\"] \n  36 -> 37 [size =\"12829696\"]\n  36 -> 38 [size =\"12829696\"]\n  36 -> 39 [size =\"12829696\"]\n  37 [size=\"83356160\", alpha=\"0.05\", expect_size=\"33342464\"] \n  38 [size=\"97648640\", alpha=\"0.05\", expect_size=\"39059456\"] \n  39 [size=\"105469440\", alpha=\"0.12\", expect_size=\"42187776\"] \n  40 [size=\"31439360\", alpha=\"0.13\", expect_size=\"12575744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33728000\", alpha=\"0.14\", expect_size=\"13491200\"] \n  1 -> 2 [size =\"13491200\"]\n  2 [size=\"41364480\", alpha=\"0.01\", expect_size=\"16545792\"] \n  2 -> 3 [size =\"16545792\"]\n  3 [size=\"69186560\", alpha=\"0.06\", expect_size=\"27674624\"] \n  3 -> 4 [size =\"27674624\"]\n  4 [size=\"63664640\", alpha=\"0.14\", expect_size=\"25465856\"] \n  4 -> 5 [size =\"25465856\"]\n  5 [size=\"116229120\", alpha=\"0.07\", expect_size=\"46491648\"] \n  5 -> 6 [size =\"46491648\"]\n  6 [size=\"81195520\", alpha=\"0.19\", expect_size=\"32478208\"] \n  6 -> 7 [size =\"32478208\"]\n  7 [size=\"112724480\", alpha=\"0.07\", expect_size=\"45089792\"] \n  7 -> 8 [size =\"45089792\"]\n  8 [size=\"125639680\", alpha=\"0.01\", expect_size=\"50255872\"] \n  8 -> 9 [size =\"50255872\"]\n  9 [size=\"81704960\", alpha=\"0.02\", expect_size=\"32681984\"] \n  9 -> 10 [size =\"32681984\"]\n  10 [size=\"81955840\", alpha=\"0.08\", expect_size=\"32782336\"] \n  10 -> 11 [size =\"32782336\"]\n  11 [size=\"47528960\", alpha=\"0.15\", expect_size=\"19011584\"] \n  11 -> 12 [size =\"19011584\"]\n  12 [size=\"130388480\", alpha=\"0.01\", expect_size=\"52155392\"] \n  12 -> 13 [size =\"52155392\"]\n  13 [size=\"15856640\", alpha=\"0.12\", expect_size=\"6342656\"] \n  13 -> 14 [size =\"6342656\"]\n  14 [size=\"52692480\", alpha=\"0.03\", expect_size=\"21076992\"] \n  14 -> 15 [size =\"21076992\"]\n  15 [size=\"15828480\", alpha=\"0.15\", expect_size=\"6331392\"] \n  15 -> 16 [size =\"6331392\"]\n  16 [size=\"58990080\", alpha=\"0.08\", expect_size=\"23596032\"] \n  16 -> 17 [size =\"23596032\"]\n  17 [size=\"53457920\", alpha=\"0.12\", expect_size=\"21383168\"] \n  17 -> 18 [size =\"21383168\"]\n  18 [size=\"94574080\", alpha=\"0.06\", expect_size=\"37829632\"] \n  18 -> 19 [size =\"37829632\"]\n  19 [size=\"99863040\", alpha=\"0.16\", expect_size=\"39945216\"] \n  19 -> 20 [size =\"39945216\"]\n  20 [size=\"108979200\", alpha=\"0.03\", expect_size=\"43591680\"] \n  20 -> 21 [size =\"43591680\"]\n  21 [size=\"38796800\", alpha=\"0.13\", expect_size=\"15518720\"] \n  21 -> 22 [size =\"15518720\"]\n  22 [size=\"126960640\", alpha=\"0.08\", expect_size=\"50784256\"] \n  22 -> 23 [size =\"50784256\"]\n  23 [size=\"15869440\", alpha=\"0.12\", expect_size=\"6347776\"] \n  23 -> 24 [size =\"6347776\"]\n  24 [size=\"86049280\", alpha=\"0.05\", expect_size=\"34419712\"] \n  24 -> 25 [size =\"34419712\"]\n  25 [size=\"105180160\", alpha=\"0.15\", expect_size=\"42072064\"] \n  25 -> 26 [size =\"42072064\"]\n  26 [size=\"78008320\", alpha=\"0.17\", expect_size=\"31203328\"] \n  26 -> 27 [size =\"31203328\"]\n  27 [size=\"127925760\", alpha=\"0.16\", expect_size=\"51170304\"] \n  27 -> 28 [size =\"51170304\"]\n  28 [size=\"82237440\", alpha=\"0.14\", expect_size=\"32894976\"] \n  28 -> 29 [size =\"32894976\"]\n  29 [size=\"116520960\", alpha=\"0.03\", expect_size=\"46608384\"] \n  29 -> 30 [size =\"46608384\"]\n  30 [size=\"94658560\", alpha=\"0.04\", expect_size=\"37863424\"] \n  30 -> 31 [size =\"37863424\"]\n  31 [size=\"111142400\", alpha=\"0.11\", expect_size=\"44456960\"] \n  31 -> 32 [size =\"44456960\"]\n  32 [size=\"68628480\", alpha=\"0.18\", expect_size=\"27451392\"] \n  32 -> 33 [size =\"27451392\"]\n  33 [size=\"113344000\", alpha=\"0.06\", expect_size=\"45337600\"] \n  33 -> 34 [size =\"45337600\"]\n  34 [size=\"65438720\", alpha=\"0.20\", expect_size=\"26175488\"] \n  34 -> 35 [size =\"26175488\"]\n  35 [size=\"93434880\", alpha=\"0.14\", expect_size=\"37373952\"] \n  35 -> 36 [size =\"37373952\"]\n  36 [size=\"64524800\", alpha=\"0.16\", expect_size=\"25809920\"] \n  36 -> 37 [size =\"25809920\"]\n  37 [size=\"46796800\", alpha=\"0.06\", expect_size=\"18718720\"] \n  37 -> 38 [size =\"18718720\"]\n  38 [size=\"21905920\", alpha=\"0.09\", expect_size=\"8762368\"] \n  38 -> 39 [size =\"8762368\"]\n  39 [size=\"102387200\", alpha=\"0.06\", expect_size=\"40954880\"] \n  39 -> 40 [size =\"40954880\"]\n  40 [size=\"120903680\", alpha=\"0.00\", expect_size=\"48361472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40296448\", alpha=\"0.17\", expect_size=\"20148224\"] \n  1 -> 4 [size =\"20148224\"]\n  2 [size=\"12840960\", alpha=\"0.09\", expect_size=\"6420480\"] \n  2 -> 4 [size =\"6420480\"]\n  3 [size=\"50741248\", alpha=\"0.10\", expect_size=\"25370624\"] \n  3 -> 4 [size =\"25370624\"]\n  4 [size=\"58976256\", alpha=\"0.15\", expect_size=\"29488128\"] \n  4 -> 5 [size =\"29488128\"]\n  5 [size=\"13465600\", alpha=\"0.08\", expect_size=\"6732800\"] \n  5 -> 6 [size =\"6732800\"]\n  5 -> 7 [size =\"6732800\"]\n  5 -> 8 [size =\"6732800\"]\n  6 [size=\"25612288\", alpha=\"0.18\", expect_size=\"12806144\"] \n  6 -> 9 [size =\"12806144\"]\n  7 [size=\"45078528\", alpha=\"0.12\", expect_size=\"22539264\"] \n  7 -> 10 [size =\"22539264\"]\n  8 [size=\"34498560\", alpha=\"0.03\", expect_size=\"17249280\"] \n  9 [size=\"37951488\", alpha=\"0.00\", expect_size=\"18975744\"] \n  9 -> 11 [size =\"18975744\"]\n  10 [size=\"45119488\", alpha=\"0.03\", expect_size=\"22559744\"] \n  10 -> 11 [size =\"22559744\"]\n  10 -> 12 [size =\"22559744\"]\n  11 [size=\"101142528\", alpha=\"0.10\", expect_size=\"50571264\"] \n  11 -> 13 [size =\"50571264\"]\n  11 -> 14 [size =\"50571264\"]\n  12 [size=\"87934976\", alpha=\"0.11\", expect_size=\"43967488\"] \n  12 -> 13 [size =\"43967488\"]\n  12 -> 15 [size =\"43967488\"]\n  13 [size=\"36302848\", alpha=\"0.05\", expect_size=\"18151424\"] \n  13 -> 18 [size =\"18151424\"]\n  13 -> 19 [size =\"18151424\"]\n  14 [size=\"84733952\", alpha=\"0.08\", expect_size=\"42366976\"] \n  14 -> 19 [size =\"42366976\"]\n  15 [size=\"59400192\", alpha=\"0.15\", expect_size=\"29700096\"] \n  15 -> 16 [size =\"29700096\"]\n  15 -> 17 [size =\"29700096\"]\n  15 -> 18 [size =\"29700096\"]\n  15 -> 19 [size =\"29700096\"]\n  16 [size=\"97409024\", alpha=\"0.05\", expect_size=\"48704512\"] \n  16 -> 20 [size =\"48704512\"]\n  17 [size=\"88279040\", alpha=\"0.01\", expect_size=\"44139520\"] \n  17 -> 21 [size =\"44139520\"]\n  18 [size=\"48951296\", alpha=\"0.03\", expect_size=\"24475648\"] \n  18 -> 20 [size =\"24475648\"]\n  19 [size=\"61218816\", alpha=\"0.02\", expect_size=\"30609408\"] \n  20 [size=\"61372416\", alpha=\"0.17\", expect_size=\"30686208\"] \n  20 -> 22 [size =\"30686208\"]\n  20 -> 23 [size =\"30686208\"]\n  21 [size=\"76640256\", alpha=\"0.18\", expect_size=\"38320128\"] \n  21 -> 24 [size =\"38320128\"]\n  22 [size=\"30158848\", alpha=\"0.20\", expect_size=\"15079424\"] \n  22 -> 25 [size =\"15079424\"]\n  23 [size=\"83826688\", alpha=\"0.10\", expect_size=\"41913344\"] \n  23 -> 25 [size =\"41913344\"]\n  24 [size=\"12042240\", alpha=\"0.11\", expect_size=\"6021120\"] \n  24 -> 25 [size =\"6021120\"]\n  25 [size=\"50501632\", alpha=\"0.12\", expect_size=\"25250816\"] \n  25 -> 26 [size =\"25250816\"]\n  25 -> 27 [size =\"25250816\"]\n  25 -> 28 [size =\"25250816\"]\n  26 [size=\"27914240\", alpha=\"0.17\", expect_size=\"13957120\"] \n  26 -> 30 [size =\"13957120\"]\n  26 -> 31 [size =\"13957120\"]\n  26 -> 32 [size =\"13957120\"]\n  27 [size=\"50470912\", alpha=\"0.09\", expect_size=\"25235456\"] \n  27 -> 32 [size =\"25235456\"]\n  28 [size=\"53850112\", alpha=\"0.05\", expect_size=\"26925056\"] \n  28 -> 29 [size =\"26925056\"]\n  28 -> 30 [size =\"26925056\"]\n  28 -> 31 [size =\"26925056\"]\n  29 [size=\"68214784\", alpha=\"0.08\", expect_size=\"34107392\"] \n  29 -> 33 [size =\"34107392\"]\n  30 [size=\"76673024\", alpha=\"0.18\", expect_size=\"38336512\"] \n  31 [size=\"61624320\", alpha=\"0.08\", expect_size=\"30812160\"] \n  32 [size=\"52883456\", alpha=\"0.13\", expect_size=\"26441728\"] \n  32 -> 33 [size =\"26441728\"]\n  33 [size=\"52801536\", alpha=\"0.04\", expect_size=\"26400768\"] \n  33 -> 34 [size =\"26400768\"]\n  33 -> 35 [size =\"26400768\"]\n  33 -> 36 [size =\"26400768\"]\n  34 [size=\"101640192\", alpha=\"0.11\", expect_size=\"50820096\"] \n  35 [size=\"59142144\", alpha=\"0.09\", expect_size=\"29571072\"] \n  35 -> 37 [size =\"29571072\"]\n  36 [size=\"22663168\", alpha=\"0.04\", expect_size=\"11331584\"] \n  37 [size=\"101699584\", alpha=\"0.16\", expect_size=\"50849792\"] \n  37 -> 38 [size =\"50849792\"]\n  37 -> 39 [size =\"50849792\"]\n  37 -> 40 [size =\"50849792\"]\n  38 [size=\"47734784\", alpha=\"0.17\", expect_size=\"23867392\"] \n  39 [size=\"73523200\", alpha=\"0.08\", expect_size=\"36761600\"] \n  40 [size=\"17788928\", alpha=\"0.10\", expect_size=\"8894464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150562133\", alpha=\"0.14\", expect_size=\"45168640\"] \n  1 -> 4 [size =\"45168640\"]\n  2 [size=\"123156480\", alpha=\"0.17\", expect_size=\"36946944\"] \n  2 -> 3 [size =\"36946944\"]\n  3 [size=\"44455253\", alpha=\"0.09\", expect_size=\"13336576\"] \n  3 -> 6 [size =\"13336576\"]\n  4 [size=\"86155947\", alpha=\"0.08\", expect_size=\"25846784\"] \n  4 -> 5 [size =\"25846784\"]\n  5 [size=\"43134293\", alpha=\"0.16\", expect_size=\"12940288\"] \n  6 [size=\"114763093\", alpha=\"0.19\", expect_size=\"34428928\"] \n  6 -> 7 [size =\"34428928\"]\n  6 -> 8 [size =\"34428928\"]\n  7 [size=\"126535680\", alpha=\"0.07\", expect_size=\"37960704\"] \n  7 -> 10 [size =\"37960704\"]\n  8 [size=\"44485973\", alpha=\"0.11\", expect_size=\"13345792\"] \n  8 -> 9 [size =\"13345792\"]\n  9 [size=\"131898027\", alpha=\"0.05\", expect_size=\"39569408\"] \n  9 -> 11 [size =\"39569408\"]\n  10 [size=\"81486507\", alpha=\"0.06\", expect_size=\"24445952\"] \n  10 -> 12 [size =\"24445952\"]\n  10 -> 13 [size =\"24445952\"]\n  11 [size=\"74646187\", alpha=\"0.11\", expect_size=\"22393856\"] \n  12 [size=\"24780800\", alpha=\"0.04\", expect_size=\"7434240\"] \n  13 [size=\"159604053\", alpha=\"0.07\", expect_size=\"47881216\"] \n  13 -> 14 [size =\"47881216\"]\n  13 -> 15 [size =\"47881216\"]\n  14 [size=\"76199253\", alpha=\"0.18\", expect_size=\"22859776\"] \n  14 -> 17 [size =\"22859776\"]\n  15 [size=\"141250560\", alpha=\"0.09\", expect_size=\"42375168\"] \n  15 -> 16 [size =\"42375168\"]\n  16 [size=\"109854720\", alpha=\"0.06\", expect_size=\"32956416\"] \n  16 -> 20 [size =\"32956416\"]\n  17 [size=\"100358827\", alpha=\"0.17\", expect_size=\"30107648\"] \n  17 -> 18 [size =\"30107648\"]\n  17 -> 19 [size =\"30107648\"]\n  18 [size=\"153835520\", alpha=\"0.07\", expect_size=\"46150656\"] \n  19 [size=\"83705173\", alpha=\"0.00\", expect_size=\"25111552\"] \n  19 -> 22 [size =\"25111552\"]\n  20 [size=\"119268693\", alpha=\"0.09\", expect_size=\"35780608\"] \n  20 -> 21 [size =\"35780608\"]\n  21 [size=\"166939307\", alpha=\"0.15\", expect_size=\"50081792\"] \n  21 -> 23 [size =\"50081792\"]\n  21 -> 25 [size =\"50081792\"]\n  22 [size=\"93409280\", alpha=\"0.14\", expect_size=\"28022784\"] \n  22 -> 24 [size =\"28022784\"]\n  23 [size=\"124767573\", alpha=\"0.17\", expect_size=\"37430272\"] \n  24 [size=\"18814293\", alpha=\"0.09\", expect_size=\"5644288\"] \n  24 -> 27 [size =\"5644288\"]\n  25 [size=\"157641387\", alpha=\"0.03\", expect_size=\"47292416\"] \n  25 -> 26 [size =\"47292416\"]\n  26 [size=\"73489067\", alpha=\"0.10\", expect_size=\"22046720\"] \n  26 -> 28 [size =\"22046720\"]\n  26 -> 29 [size =\"22046720\"]\n  27 [size=\"117217280\", alpha=\"0.11\", expect_size=\"35165184\"] \n  27 -> 30 [size =\"35165184\"]\n  28 [size=\"93859840\", alpha=\"0.16\", expect_size=\"28157952\"] \n  28 -> 31 [size =\"28157952\"]\n  29 [size=\"149879467\", alpha=\"0.15\", expect_size=\"44963840\"] \n  29 -> 32 [size =\"44963840\"]\n  30 [size=\"150920533\", alpha=\"0.02\", expect_size=\"45276160\"] \n  30 -> 31 [size =\"45276160\"]\n  30 -> 33 [size =\"45276160\"]\n  31 [size=\"65211733\", alpha=\"0.16\", expect_size=\"19563520\"] \n  31 -> 34 [size =\"19563520\"]\n  32 [size=\"25832107\", alpha=\"0.12\", expect_size=\"7749632\"] \n  32 -> 35 [size =\"7749632\"]\n  32 -> 36 [size =\"7749632\"]\n  33 [size=\"138472107\", alpha=\"0.05\", expect_size=\"41541632\"] \n  33 -> 34 [size =\"41541632\"]\n  34 [size=\"115531093\", alpha=\"0.06\", expect_size=\"34659328\"] \n  35 [size=\"25695573\", alpha=\"0.03\", expect_size=\"7708672\"] \n  35 -> 37 [size =\"7708672\"]\n  36 [size=\"51906560\", alpha=\"0.11\", expect_size=\"15571968\"] \n  36 -> 38 [size =\"15571968\"]\n  37 [size=\"134171307\", alpha=\"0.10\", expect_size=\"40251392\"] \n  37 -> 40 [size =\"40251392\"]\n  38 [size=\"66973013\", alpha=\"0.06\", expect_size=\"20091904\"] \n  38 -> 39 [size =\"20091904\"]\n  39 [size=\"34611200\", alpha=\"0.11\", expect_size=\"10383360\"] \n  40 [size=\"151511040\", alpha=\"0.08\", expect_size=\"45453312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17943040\", alpha=\"0.01\", expect_size=\"7177216\"] \n  1 -> 6 [size =\"7177216\"]\n  1 -> 7 [size =\"7177216\"]\n  1 -> 8 [size =\"7177216\"]\n  1 -> 9 [size =\"7177216\"]\n  1 -> 10 [size =\"7177216\"]\n  2 [size=\"68316160\", alpha=\"0.16\", expect_size=\"27326464\"] \n  2 -> 6 [size =\"27326464\"]\n  2 -> 9 [size =\"27326464\"]\n  2 -> 10 [size =\"27326464\"]\n  2 -> 11 [size =\"27326464\"]\n  3 [size=\"105024000\", alpha=\"0.06\", expect_size=\"42009600\"] \n  3 -> 6 [size =\"42009600\"]\n  3 -> 9 [size =\"42009600\"]\n  3 -> 10 [size =\"42009600\"]\n  3 -> 11 [size =\"42009600\"]\n  4 [size=\"115985920\", alpha=\"0.00\", expect_size=\"46394368\"] \n  4 -> 8 [size =\"46394368\"]\n  4 -> 9 [size =\"46394368\"]\n  4 -> 10 [size =\"46394368\"]\n  4 -> 11 [size =\"46394368\"]\n  5 [size=\"109056000\", alpha=\"0.05\", expect_size=\"43622400\"] \n  5 -> 6 [size =\"43622400\"]\n  5 -> 8 [size =\"43622400\"]\n  5 -> 9 [size =\"43622400\"]\n  5 -> 11 [size =\"43622400\"]\n  6 [size=\"120422400\", alpha=\"0.19\", expect_size=\"48168960\"] \n  6 -> 13 [size =\"48168960\"]\n  6 -> 14 [size =\"48168960\"]\n  6 -> 15 [size =\"48168960\"]\n  6 -> 16 [size =\"48168960\"]\n  7 [size=\"113518080\", alpha=\"0.12\", expect_size=\"45407232\"] \n  7 -> 12 [size =\"45407232\"]\n  7 -> 13 [size =\"45407232\"]\n  7 -> 14 [size =\"45407232\"]\n  7 -> 15 [size =\"45407232\"]\n  7 -> 16 [size =\"45407232\"]\n  8 [size=\"46694400\", alpha=\"0.14\", expect_size=\"18677760\"] \n  8 -> 12 [size =\"18677760\"]\n  8 -> 13 [size =\"18677760\"]\n  8 -> 14 [size =\"18677760\"]\n  8 -> 16 [size =\"18677760\"]\n  8 -> 16 [size =\"18677760\"]\n  9 [size=\"20776960\", alpha=\"0.20\", expect_size=\"8310784\"] \n  9 -> 14 [size =\"8310784\"]\n  10 [size=\"72852480\", alpha=\"0.02\", expect_size=\"29140992\"] \n  10 -> 14 [size =\"29140992\"]\n  10 -> 15 [size =\"29140992\"]\n  11 [size=\"80729600\", alpha=\"0.20\", expect_size=\"32291840\"] \n  11 -> 14 [size =\"32291840\"]\n  11 -> 15 [size =\"32291840\"]\n  11 -> 16 [size =\"32291840\"]\n  12 [size=\"89326080\", alpha=\"0.09\", expect_size=\"35730432\"] \n  12 -> 17 [size =\"35730432\"]\n  12 -> 19 [size =\"35730432\"]\n  12 -> 20 [size =\"35730432\"]\n  13 [size=\"63500800\", alpha=\"0.09\", expect_size=\"25400320\"] \n  13 -> 17 [size =\"25400320\"]\n  13 -> 18 [size =\"25400320\"]\n  13 -> 19 [size =\"25400320\"]\n  13 -> 20 [size =\"25400320\"]\n  13 -> 21 [size =\"25400320\"]\n  14 [size=\"100971520\", alpha=\"0.11\", expect_size=\"40388608\"] \n  14 -> 17 [size =\"40388608\"]\n  14 -> 18 [size =\"40388608\"]\n  14 -> 19 [size =\"40388608\"]\n  14 -> 20 [size =\"40388608\"]\n  14 -> 21 [size =\"40388608\"]\n  15 [size=\"101493760\", alpha=\"0.07\", expect_size=\"40597504\"] \n  15 -> 17 [size =\"40597504\"]\n  15 -> 18 [size =\"40597504\"]\n  15 -> 19 [size =\"40597504\"]\n  15 -> 20 [size =\"40597504\"]\n  15 -> 21 [size =\"40597504\"]\n  16 [size=\"14261760\", alpha=\"0.19\", expect_size=\"5704704\"] \n  16 -> 17 [size =\"5704704\"]\n  16 -> 19 [size =\"5704704\"]\n  16 -> 20 [size =\"5704704\"]\n  17 [size=\"123496960\", alpha=\"0.18\", expect_size=\"49398784\"] \n  17 -> 22 [size =\"49398784\"]\n  18 [size=\"75873280\", alpha=\"0.04\", expect_size=\"30349312\"] \n  19 [size=\"40460800\", alpha=\"0.17\", expect_size=\"16184320\"] \n  19 -> 22 [size =\"16184320\"]\n  19 -> 23 [size =\"16184320\"]\n  19 -> 24 [size =\"16184320\"]\n  19 -> 25 [size =\"16184320\"]\n  19 -> 26 [size =\"16184320\"]\n  20 [size=\"38016000\", alpha=\"0.04\", expect_size=\"15206400\"] \n  20 -> 23 [size =\"15206400\"]\n  20 -> 24 [size =\"15206400\"]\n  20 -> 25 [size =\"15206400\"]\n  20 -> 25 [size =\"15206400\"]\n  20 -> 26 [size =\"15206400\"]\n  21 [size=\"50014720\", alpha=\"0.12\", expect_size=\"20005888\"] \n  22 [size=\"48276480\", alpha=\"0.09\", expect_size=\"19310592\"] \n  22 -> 28 [size =\"19310592\"]\n  22 -> 30 [size =\"19310592\"]\n  23 [size=\"102535680\", alpha=\"0.02\", expect_size=\"41014272\"] \n  23 -> 28 [size =\"41014272\"]\n  23 -> 30 [size =\"41014272\"]\n  23 -> 31 [size =\"41014272\"]\n  24 [size=\"38400000\", alpha=\"0.12\", expect_size=\"15360000\"] \n  24 -> 27 [size =\"15360000\"]\n  24 -> 28 [size =\"15360000\"]\n  24 -> 30 [size =\"15360000\"]\n  24 -> 31 [size =\"15360000\"]\n  24 -> 32 [size =\"15360000\"]\n  25 [size=\"105914880\", alpha=\"0.18\", expect_size=\"42365952\"] \n  25 -> 27 [size =\"42365952\"]\n  25 -> 28 [size =\"42365952\"]\n  25 -> 29 [size =\"42365952\"]\n  25 -> 30 [size =\"42365952\"]\n  26 [size=\"28979200\", alpha=\"0.03\", expect_size=\"11591680\"] \n  26 -> 27 [size =\"11591680\"]\n  26 -> 28 [size =\"11591680\"]\n  26 -> 29 [size =\"11591680\"]\n  26 -> 30 [size =\"11591680\"]\n  27 [size=\"21194240\", alpha=\"0.05\", expect_size=\"8477696\"] \n  27 -> 33 [size =\"8477696\"]\n  27 -> 34 [size =\"8477696\"]\n  27 -> 36 [size =\"8477696\"]\n  27 -> 37 [size =\"8477696\"]\n  28 [size=\"125135360\", alpha=\"0.12\", expect_size=\"50054144\"] \n  28 -> 33 [size =\"50054144\"]\n  28 -> 34 [size =\"50054144\"]\n  28 -> 36 [size =\"50054144\"]\n  28 -> 37 [size =\"50054144\"]\n  29 [size=\"30164480\", alpha=\"0.01\", expect_size=\"12065792\"] \n  29 -> 33 [size =\"12065792\"]\n  29 -> 34 [size =\"12065792\"]\n  29 -> 37 [size =\"12065792\"]\n  29 -> 37 [size =\"12065792\"]\n  30 [size=\"129738240\", alpha=\"0.20\", expect_size=\"51895296\"] \n  30 -> 33 [size =\"51895296\"]\n  30 -> 34 [size =\"51895296\"]\n  31 [size=\"34716160\", alpha=\"0.10\", expect_size=\"13886464\"] \n  31 -> 33 [size =\"13886464\"]\n  31 -> 35 [size =\"13886464\"]\n  31 -> 36 [size =\"13886464\"]\n  32 [size=\"103825920\", alpha=\"0.13\", expect_size=\"41530368\"] \n  32 -> 33 [size =\"41530368\"]\n  32 -> 34 [size =\"41530368\"]\n  32 -> 35 [size =\"41530368\"]\n  32 -> 36 [size =\"41530368\"]\n  32 -> 37 [size =\"41530368\"]\n  33 [size=\"38389760\", alpha=\"0.05\", expect_size=\"15355904\"] \n  33 -> 38 [size =\"15355904\"]\n  33 -> 39 [size =\"15355904\"]\n  33 -> 40 [size =\"15355904\"]\n  34 [size=\"48284160\", alpha=\"0.12\", expect_size=\"19313664\"] \n  34 -> 38 [size =\"19313664\"]\n  34 -> 40 [size =\"19313664\"]\n  35 [size=\"118423040\", alpha=\"0.13\", expect_size=\"47369216\"] \n  35 -> 38 [size =\"47369216\"]\n  36 [size=\"108830720\", alpha=\"0.15\", expect_size=\"43532288\"] \n  36 -> 38 [size =\"43532288\"]\n  36 -> 39 [size =\"43532288\"]\n  36 -> 40 [size =\"43532288\"]\n  37 [size=\"126822400\", alpha=\"0.16\", expect_size=\"50728960\"] \n  37 -> 38 [size =\"50728960\"]\n  37 -> 39 [size =\"50728960\"]\n  37 -> 40 [size =\"50728960\"]\n  38 [size=\"36881920\", alpha=\"0.07\", expect_size=\"14752768\"] \n  39 [size=\"108526080\", alpha=\"0.03\", expect_size=\"43410432\"] \n  40 [size=\"113497600\", alpha=\"0.03\", expect_size=\"45399040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64560640\", alpha=\"0.16\", expect_size=\"25824256\"] \n  1 -> 33 [size =\"25824256\"]\n  1 -> 34 [size =\"25824256\"]\n  1 -> 35 [size =\"25824256\"]\n  1 -> 36 [size =\"25824256\"]\n  1 -> 39 [size =\"25824256\"]\n  2 [size=\"88309760\", alpha=\"0.03\", expect_size=\"35323904\"] \n  2 -> 39 [size =\"35323904\"]\n  3 [size=\"89267200\", alpha=\"0.12\", expect_size=\"35706880\"] \n  3 -> 37 [size =\"35706880\"]\n  4 [size=\"105617920\", alpha=\"0.18\", expect_size=\"42247168\"] \n  4 -> 33 [size =\"42247168\"]\n  4 -> 34 [size =\"42247168\"]\n  4 -> 37 [size =\"42247168\"]\n  4 -> 39 [size =\"42247168\"]\n  5 [size=\"101977600\", alpha=\"0.13\", expect_size=\"40791040\"] \n  5 -> 34 [size =\"40791040\"]\n  5 -> 39 [size =\"40791040\"]\n  6 [size=\"59095040\", alpha=\"0.16\", expect_size=\"23638016\"] \n  6 -> 34 [size =\"23638016\"]\n  6 -> 37 [size =\"23638016\"]\n  7 [size=\"124608000\", alpha=\"0.03\", expect_size=\"49843200\"] \n  7 -> 34 [size =\"49843200\"]\n  7 -> 40 [size =\"49843200\"]\n  8 [size=\"29214720\", alpha=\"0.07\", expect_size=\"11685888\"] \n  8 -> 33 [size =\"11685888\"]\n  8 -> 34 [size =\"11685888\"]\n  8 -> 37 [size =\"11685888\"]\n  9 [size=\"101849600\", alpha=\"0.05\", expect_size=\"40739840\"] \n  10 [size=\"118131200\", alpha=\"0.02\", expect_size=\"47252480\"] \n  10 -> 33 [size =\"47252480\"]\n  10 -> 37 [size =\"47252480\"]\n  10 -> 39 [size =\"47252480\"]\n  11 [size=\"71185920\", alpha=\"0.20\", expect_size=\"28474368\"] \n  11 -> 33 [size =\"28474368\"]\n  11 -> 34 [size =\"28474368\"]\n  11 -> 38 [size =\"28474368\"]\n  11 -> 39 [size =\"28474368\"]\n  12 [size=\"48094720\", alpha=\"0.17\", expect_size=\"19237888\"] \n  12 -> 35 [size =\"19237888\"]\n  12 -> 38 [size =\"19237888\"]\n  12 -> 39 [size =\"19237888\"]\n  13 [size=\"65848320\", alpha=\"0.17\", expect_size=\"26339328\"] \n  14 [size=\"16806400\", alpha=\"0.03\", expect_size=\"6722560\"] \n  14 -> 34 [size =\"6722560\"]\n  14 -> 39 [size =\"6722560\"]\n  15 [size=\"120094720\", alpha=\"0.01\", expect_size=\"48037888\"] \n  15 -> 35 [size =\"48037888\"]\n  16 [size=\"81169920\", alpha=\"0.11\", expect_size=\"32467968\"] \n  16 -> 38 [size =\"32467968\"]\n  17 [size=\"59368960\", alpha=\"0.18\", expect_size=\"23747584\"] \n  17 -> 33 [size =\"23747584\"]\n  17 -> 35 [size =\"23747584\"]\n  17 -> 40 [size =\"23747584\"]\n  18 [size=\"77153280\", alpha=\"0.19\", expect_size=\"30861312\"] \n  19 [size=\"120353280\", alpha=\"0.05\", expect_size=\"48141312\"] \n  19 -> 39 [size =\"48141312\"]\n  19 -> 40 [size =\"48141312\"]\n  20 [size=\"32988160\", alpha=\"0.16\", expect_size=\"13195264\"] \n  20 -> 39 [size =\"13195264\"]\n  21 [size=\"41879040\", alpha=\"0.15\", expect_size=\"16751616\"] \n  21 -> 40 [size =\"16751616\"]\n  22 [size=\"40693760\", alpha=\"0.07\", expect_size=\"16277504\"] \n  22 -> 33 [size =\"16277504\"]\n  22 -> 39 [size =\"16277504\"]\n  23 [size=\"20449280\", alpha=\"0.11\", expect_size=\"8179712\"] \n  23 -> 37 [size =\"8179712\"]\n  24 [size=\"123555840\", alpha=\"0.12\", expect_size=\"49422336\"] \n  24 -> 35 [size =\"49422336\"]\n  24 -> 37 [size =\"49422336\"]\n  24 -> 38 [size =\"49422336\"]\n  25 [size=\"22440960\", alpha=\"0.08\", expect_size=\"8976384\"] \n  25 -> 35 [size =\"8976384\"]\n  25 -> 37 [size =\"8976384\"]\n  25 -> 38 [size =\"8976384\"]\n  25 -> 39 [size =\"8976384\"]\n  26 [size=\"28142080\", alpha=\"0.11\", expect_size=\"11256832\"] \n  26 -> 34 [size =\"11256832\"]\n  26 -> 35 [size =\"11256832\"]\n  26 -> 38 [size =\"11256832\"]\n  26 -> 39 [size =\"11256832\"]\n  27 [size=\"91706880\", alpha=\"0.13\", expect_size=\"36682752\"] \n  27 -> 35 [size =\"36682752\"]\n  27 -> 36 [size =\"36682752\"]\n  27 -> 37 [size =\"36682752\"]\n  27 -> 38 [size =\"36682752\"]\n  28 [size=\"80942080\", alpha=\"0.18\", expect_size=\"32376832\"] \n  28 -> 34 [size =\"32376832\"]\n  28 -> 35 [size =\"32376832\"]\n  28 -> 36 [size =\"32376832\"]\n  28 -> 37 [size =\"32376832\"]\n  28 -> 38 [size =\"32376832\"]\n  29 [size=\"73561600\", alpha=\"0.18\", expect_size=\"29424640\"] \n  29 -> 40 [size =\"29424640\"]\n  30 [size=\"103738880\", alpha=\"0.16\", expect_size=\"41495552\"] \n  30 -> 39 [size =\"41495552\"]\n  31 [size=\"77570560\", alpha=\"0.04\", expect_size=\"31028224\"] \n  31 -> 35 [size =\"31028224\"]\n  31 -> 37 [size =\"31028224\"]\n  31 -> 39 [size =\"31028224\"]\n  31 -> 40 [size =\"31028224\"]\n  32 [size=\"46515200\", alpha=\"0.18\", expect_size=\"18606080\"] \n  32 -> 37 [size =\"18606080\"]\n  32 -> 38 [size =\"18606080\"]\n  33 [size=\"85772800\", alpha=\"0.00\", expect_size=\"34309120\"] \n  34 [size=\"35578880\", alpha=\"0.03\", expect_size=\"14231552\"] \n  35 [size=\"106406400\", alpha=\"0.05\", expect_size=\"42562560\"] \n  36 [size=\"33233920\", alpha=\"0.18\", expect_size=\"13293568\"] \n  37 [size=\"97978880\", alpha=\"0.18\", expect_size=\"39191552\"] \n  38 [size=\"58250240\", alpha=\"0.10\", expect_size=\"23300096\"] \n  39 [size=\"48122880\", alpha=\"0.20\", expect_size=\"19249152\"] \n  40 [size=\"38374400\", alpha=\"0.13\", expect_size=\"15349760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65081344\", alpha=\"0.15\", expect_size=\"32540672\"] \n  1 -> 9 [size =\"32540672\"]\n  1 -> 11 [size =\"32540672\"]\n  1 -> 16 [size =\"32540672\"]\n  1 -> 17 [size =\"32540672\"]\n  2 [size=\"81809408\", alpha=\"0.02\", expect_size=\"40904704\"] \n  2 -> 7 [size =\"40904704\"]\n  2 -> 8 [size =\"40904704\"]\n  2 -> 10 [size =\"40904704\"]\n  2 -> 12 [size =\"40904704\"]\n  3 [size=\"20580352\", alpha=\"0.10\", expect_size=\"10290176\"] \n  3 -> 9 [size =\"10290176\"]\n  3 -> 14 [size =\"10290176\"]\n  4 [size=\"32692224\", alpha=\"0.11\", expect_size=\"16346112\"] \n  4 -> 9 [size =\"16346112\"]\n  4 -> 11 [size =\"16346112\"]\n  5 [size=\"97019904\", alpha=\"0.03\", expect_size=\"48509952\"] \n  5 -> 8 [size =\"48509952\"]\n  5 -> 13 [size =\"48509952\"]\n  5 -> 16 [size =\"48509952\"]\n  5 -> 18 [size =\"48509952\"]\n  6 [size=\"18825216\", alpha=\"0.01\", expect_size=\"9412608\"] \n  6 -> 8 [size =\"9412608\"]\n  6 -> 10 [size =\"9412608\"]\n  6 -> 11 [size =\"9412608\"]\n  6 -> 14 [size =\"9412608\"]\n  6 -> 15 [size =\"9412608\"]\n  7 [size=\"93267968\", alpha=\"0.17\", expect_size=\"46633984\"] \n  8 [size=\"26558464\", alpha=\"0.19\", expect_size=\"13279232\"] \n  8 -> 20 [size =\"13279232\"]\n  8 -> 23 [size =\"13279232\"]\n  9 [size=\"12070912\", alpha=\"0.20\", expect_size=\"6035456\"] \n  9 -> 24 [size =\"6035456\"]\n  10 [size=\"52535296\", alpha=\"0.11\", expect_size=\"26267648\"] \n  11 [size=\"21698560\", alpha=\"0.12\", expect_size=\"10849280\"] \n  11 -> 20 [size =\"10849280\"]\n  11 -> 21 [size =\"10849280\"]\n  12 [size=\"91721728\", alpha=\"0.17\", expect_size=\"45860864\"] \n  12 -> 22 [size =\"45860864\"]\n  12 -> 23 [size =\"45860864\"]\n  12 -> 24 [size =\"45860864\"]\n  12 -> 25 [size =\"45860864\"]\n  13 [size=\"101654528\", alpha=\"0.08\", expect_size=\"50827264\"] \n  13 -> 19 [size =\"50827264\"]\n  13 -> 20 [size =\"50827264\"]\n  14 [size=\"52766720\", alpha=\"0.05\", expect_size=\"26383360\"] \n  14 -> 22 [size =\"26383360\"]\n  15 [size=\"103452672\", alpha=\"0.12\", expect_size=\"51726336\"] \n  15 -> 20 [size =\"51726336\"]\n  16 [size=\"22661120\", alpha=\"0.12\", expect_size=\"11330560\"] \n  17 [size=\"28590080\", alpha=\"0.12\", expect_size=\"14295040\"] \n  17 -> 22 [size =\"14295040\"]\n  17 -> 24 [size =\"14295040\"]\n  17 -> 25 [size =\"14295040\"]\n  18 [size=\"12830720\", alpha=\"0.06\", expect_size=\"6415360\"] \n  18 -> 20 [size =\"6415360\"]\n  18 -> 24 [size =\"6415360\"]\n  19 [size=\"102916096\", alpha=\"0.11\", expect_size=\"51458048\"] \n  19 -> 28 [size =\"51458048\"]\n  19 -> 34 [size =\"51458048\"]\n  19 -> 35 [size =\"51458048\"]\n  20 [size=\"101926912\", alpha=\"0.17\", expect_size=\"50963456\"] \n  20 -> 27 [size =\"50963456\"]\n  20 -> 28 [size =\"50963456\"]\n  20 -> 29 [size =\"50963456\"]\n  20 -> 30 [size =\"50963456\"]\n  20 -> 32 [size =\"50963456\"]\n  20 -> 36 [size =\"50963456\"]\n  20 -> 38 [size =\"50963456\"]\n  21 [size=\"59160576\", alpha=\"0.15\", expect_size=\"29580288\"] \n  21 -> 27 [size =\"29580288\"]\n  21 -> 29 [size =\"29580288\"]\n  21 -> 30 [size =\"29580288\"]\n  21 -> 36 [size =\"29580288\"]\n  22 [size=\"22368256\", alpha=\"0.07\", expect_size=\"11184128\"] \n  22 -> 30 [size =\"11184128\"]\n  22 -> 33 [size =\"11184128\"]\n  22 -> 37 [size =\"11184128\"]\n  23 [size=\"100532224\", alpha=\"0.02\", expect_size=\"50266112\"] \n  23 -> 28 [size =\"50266112\"]\n  23 -> 30 [size =\"50266112\"]\n  23 -> 36 [size =\"50266112\"]\n  24 [size=\"44206080\", alpha=\"0.02\", expect_size=\"22103040\"] \n  24 -> 26 [size =\"22103040\"]\n  24 -> 28 [size =\"22103040\"]\n  24 -> 29 [size =\"22103040\"]\n  24 -> 31 [size =\"22103040\"]\n  24 -> 32 [size =\"22103040\"]\n  24 -> 38 [size =\"22103040\"]\n  25 [size=\"66060288\", alpha=\"0.20\", expect_size=\"33030144\"] \n  25 -> 29 [size =\"33030144\"]\n  25 -> 34 [size =\"33030144\"]\n  25 -> 38 [size =\"33030144\"]\n  26 [size=\"29497344\", alpha=\"0.19\", expect_size=\"14748672\"] \n  26 -> 39 [size =\"14748672\"]\n  26 -> 40 [size =\"14748672\"]\n  27 [size=\"85659648\", alpha=\"0.16\", expect_size=\"42829824\"] \n  28 [size=\"46718976\", alpha=\"0.17\", expect_size=\"23359488\"] \n  28 -> 40 [size =\"23359488\"]\n  29 [size=\"75128832\", alpha=\"0.18\", expect_size=\"37564416\"] \n  29 -> 40 [size =\"37564416\"]\n  30 [size=\"33566720\", alpha=\"0.08\", expect_size=\"16783360\"] \n  30 -> 40 [size =\"16783360\"]\n  31 [size=\"20281344\", alpha=\"0.20\", expect_size=\"10140672\"] \n  31 -> 40 [size =\"10140672\"]\n  32 [size=\"89866240\", alpha=\"0.09\", expect_size=\"44933120\"] \n  32 -> 40 [size =\"44933120\"]\n  33 [size=\"30531584\", alpha=\"0.18\", expect_size=\"15265792\"] \n  33 -> 39 [size =\"15265792\"]\n  34 [size=\"41115648\", alpha=\"0.16\", expect_size=\"20557824\"] \n  34 -> 39 [size =\"20557824\"]\n  34 -> 40 [size =\"20557824\"]\n  35 [size=\"49453056\", alpha=\"0.13\", expect_size=\"24726528\"] \n  35 -> 39 [size =\"24726528\"]\n  36 [size=\"47710208\", alpha=\"0.13\", expect_size=\"23855104\"] \n  37 [size=\"44222464\", alpha=\"0.17\", expect_size=\"22111232\"] \n  38 [size=\"27404288\", alpha=\"0.01\", expect_size=\"13702144\"] \n  39 [size=\"13328384\", alpha=\"0.05\", expect_size=\"6664192\"] \n  40 [size=\"97951744\", alpha=\"0.09\", expect_size=\"48975872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93030400\", alpha=\"0.13\", expect_size=\"27909120\"] \n  1 -> 14 [size =\"27909120\"]\n  1 -> 15 [size =\"27909120\"]\n  1 -> 16 [size =\"27909120\"]\n  1 -> 17 [size =\"27909120\"]\n  1 -> 19 [size =\"27909120\"]\n  1 -> 20 [size =\"27909120\"]\n  1 -> 21 [size =\"27909120\"]\n  1 -> 25 [size =\"27909120\"]\n  2 [size=\"117012480\", alpha=\"0.10\", expect_size=\"35103744\"] \n  2 -> 15 [size =\"35103744\"]\n  2 -> 19 [size =\"35103744\"]\n  2 -> 23 [size =\"35103744\"]\n  2 -> 25 [size =\"35103744\"]\n  2 -> 26 [size =\"35103744\"]\n  3 [size=\"118190080\", alpha=\"0.06\", expect_size=\"35457024\"] \n  3 -> 15 [size =\"35457024\"]\n  3 -> 19 [size =\"35457024\"]\n  3 -> 23 [size =\"35457024\"]\n  3 -> 25 [size =\"35457024\"]\n  3 -> 26 [size =\"35457024\"]\n  4 [size=\"40277333\", alpha=\"0.14\", expect_size=\"12083200\"] \n  4 -> 14 [size =\"12083200\"]\n  4 -> 15 [size =\"12083200\"]\n  4 -> 20 [size =\"12083200\"]\n  4 -> 21 [size =\"12083200\"]\n  4 -> 23 [size =\"12083200\"]\n  4 -> 25 [size =\"12083200\"]\n  4 -> 26 [size =\"12083200\"]\n  5 [size=\"110397440\", alpha=\"0.19\", expect_size=\"33119232\"] \n  5 -> 14 [size =\"33119232\"]\n  5 -> 15 [size =\"33119232\"]\n  5 -> 17 [size =\"33119232\"]\n  5 -> 18 [size =\"33119232\"]\n  5 -> 19 [size =\"33119232\"]\n  5 -> 21 [size =\"33119232\"]\n  5 -> 23 [size =\"33119232\"]\n  5 -> 25 [size =\"33119232\"]\n  5 -> 26 [size =\"33119232\"]\n  6 [size=\"118094507\", alpha=\"0.08\", expect_size=\"35428352\"] \n  6 -> 17 [size =\"35428352\"]\n  6 -> 19 [size =\"35428352\"]\n  6 -> 20 [size =\"35428352\"]\n  6 -> 21 [size =\"35428352\"]\n  6 -> 25 [size =\"35428352\"]\n  7 [size=\"46298453\", alpha=\"0.04\", expect_size=\"13889536\"] \n  7 -> 19 [size =\"13889536\"]\n  7 -> 20 [size =\"13889536\"]\n  7 -> 21 [size =\"13889536\"]\n  7 -> 21 [size =\"13889536\"]\n  7 -> 26 [size =\"13889536\"]\n  8 [size=\"62279680\", alpha=\"0.06\", expect_size=\"18683904\"] \n  8 -> 15 [size =\"18683904\"]\n  8 -> 19 [size =\"18683904\"]\n  8 -> 20 [size =\"18683904\"]\n  8 -> 21 [size =\"18683904\"]\n  8 -> 22 [size =\"18683904\"]\n  8 -> 25 [size =\"18683904\"]\n  9 [size=\"135195307\", alpha=\"0.13\", expect_size=\"40558592\"] \n  9 -> 15 [size =\"40558592\"]\n  9 -> 16 [size =\"40558592\"]\n  9 -> 19 [size =\"40558592\"]\n  9 -> 20 [size =\"40558592\"]\n  9 -> 21 [size =\"40558592\"]\n  9 -> 25 [size =\"40558592\"]\n  9 -> 26 [size =\"40558592\"]\n  10 [size=\"74291200\", alpha=\"0.02\", expect_size=\"22287360\"] \n  10 -> 15 [size =\"22287360\"]\n  10 -> 17 [size =\"22287360\"]\n  10 -> 19 [size =\"22287360\"]\n  10 -> 20 [size =\"22287360\"]\n  10 -> 21 [size =\"22287360\"]\n  11 [size=\"77581653\", alpha=\"0.17\", expect_size=\"23274496\"] \n  11 -> 14 [size =\"23274496\"]\n  11 -> 15 [size =\"23274496\"]\n  11 -> 17 [size =\"23274496\"]\n  11 -> 19 [size =\"23274496\"]\n  11 -> 20 [size =\"23274496\"]\n  11 -> 21 [size =\"23274496\"]\n  11 -> 24 [size =\"23274496\"]\n  11 -> 25 [size =\"23274496\"]\n  12 [size=\"22586027\", alpha=\"0.00\", expect_size=\"6775808\"] \n  12 -> 18 [size =\"6775808\"]\n  12 -> 19 [size =\"6775808\"]\n  12 -> 21 [size =\"6775808\"]\n  12 -> 23 [size =\"6775808\"]\n  13 [size=\"97624747\", alpha=\"0.12\", expect_size=\"29287424\"] \n  13 -> 17 [size =\"29287424\"]\n  13 -> 19 [size =\"29287424\"]\n  13 -> 20 [size =\"29287424\"]\n  13 -> 25 [size =\"29287424\"]\n  13 -> 26 [size =\"29287424\"]\n  14 [size=\"142421333\", alpha=\"0.07\", expect_size=\"42726400\"] \n  14 -> 30 [size =\"42726400\"]\n  14 -> 33 [size =\"42726400\"]\n  14 -> 34 [size =\"42726400\"]\n  14 -> 36 [size =\"42726400\"]\n  14 -> 38 [size =\"42726400\"]\n  15 [size=\"97563307\", alpha=\"0.11\", expect_size=\"29268992\"] \n  15 -> 27 [size =\"29268992\"]\n  15 -> 33 [size =\"29268992\"]\n  15 -> 36 [size =\"29268992\"]\n  15 -> 38 [size =\"29268992\"]\n  15 -> 38 [size =\"29268992\"]\n  16 [size=\"92839253\", alpha=\"0.17\", expect_size=\"27851776\"] \n  16 -> 27 [size =\"27851776\"]\n  16 -> 28 [size =\"27851776\"]\n  16 -> 35 [size =\"27851776\"]\n  16 -> 38 [size =\"27851776\"]\n  17 [size=\"156832427\", alpha=\"0.18\", expect_size=\"47049728\"] \n  17 -> 38 [size =\"47049728\"]\n  18 [size=\"30286507\", alpha=\"0.14\", expect_size=\"9085952\"] \n  18 -> 36 [size =\"9085952\"]\n  18 -> 37 [size =\"9085952\"]\n  18 -> 38 [size =\"9085952\"]\n  19 [size=\"80295253\", alpha=\"0.14\", expect_size=\"24088576\"] \n  19 -> 28 [size =\"24088576\"]\n  19 -> 29 [size =\"24088576\"]\n  19 -> 30 [size =\"24088576\"]\n  19 -> 31 [size =\"24088576\"]\n  19 -> 32 [size =\"24088576\"]\n  19 -> 37 [size =\"24088576\"]\n  20 [size=\"21862400\", alpha=\"0.07\", expect_size=\"6558720\"] \n  20 -> 27 [size =\"6558720\"]\n  20 -> 28 [size =\"6558720\"]\n  20 -> 29 [size =\"6558720\"]\n  20 -> 30 [size =\"6558720\"]\n  20 -> 33 [size =\"6558720\"]\n  20 -> 36 [size =\"6558720\"]\n  20 -> 37 [size =\"6558720\"]\n  20 -> 38 [size =\"6558720\"]\n  21 [size=\"34822827\", alpha=\"0.10\", expect_size=\"10446848\"] \n  21 -> 30 [size =\"10446848\"]\n  21 -> 31 [size =\"10446848\"]\n  21 -> 33 [size =\"10446848\"]\n  21 -> 36 [size =\"10446848\"]\n  22 [size=\"165270187\", alpha=\"0.05\", expect_size=\"49581056\"] \n  22 -> 27 [size =\"49581056\"]\n  22 -> 29 [size =\"49581056\"]\n  22 -> 31 [size =\"49581056\"]\n  22 -> 33 [size =\"49581056\"]\n  22 -> 36 [size =\"49581056\"]\n  23 [size=\"166662827\", alpha=\"0.13\", expect_size=\"49998848\"] \n  23 -> 29 [size =\"49998848\"]\n  23 -> 29 [size =\"49998848\"]\n  23 -> 31 [size =\"49998848\"]\n  23 -> 32 [size =\"49998848\"]\n  23 -> 33 [size =\"49998848\"]\n  23 -> 36 [size =\"49998848\"]\n  23 -> 37 [size =\"49998848\"]\n  24 [size=\"105366187\", alpha=\"0.04\", expect_size=\"31609856\"] \n  24 -> 28 [size =\"31609856\"]\n  24 -> 29 [size =\"31609856\"]\n  24 -> 31 [size =\"31609856\"]\n  24 -> 33 [size =\"31609856\"]\n  24 -> 34 [size =\"31609856\"]\n  24 -> 36 [size =\"31609856\"]\n  24 -> 37 [size =\"31609856\"]\n  25 [size=\"157419520\", alpha=\"0.07\", expect_size=\"47225856\"] \n  25 -> 28 [size =\"47225856\"]\n  25 -> 29 [size =\"47225856\"]\n  25 -> 31 [size =\"47225856\"]\n  25 -> 33 [size =\"47225856\"]\n  25 -> 36 [size =\"47225856\"]\n  25 -> 37 [size =\"47225856\"]\n  25 -> 37 [size =\"47225856\"]\n  25 -> 38 [size =\"47225856\"]\n  26 [size=\"87166293\", alpha=\"0.03\", expect_size=\"26149888\"] \n  26 -> 28 [size =\"26149888\"]\n  26 -> 29 [size =\"26149888\"]\n  26 -> 33 [size =\"26149888\"]\n  26 -> 33 [size =\"26149888\"]\n  26 -> 36 [size =\"26149888\"]\n  26 -> 37 [size =\"26149888\"]\n  26 -> 38 [size =\"26149888\"]\n  26 -> 38 [size =\"26149888\"]\n  27 [size=\"67331413\", alpha=\"0.02\", expect_size=\"20199424\"] \n  27 -> 39 [size =\"20199424\"]\n  28 [size=\"48831147\", alpha=\"0.07\", expect_size=\"14649344\"] \n  28 -> 39 [size =\"14649344\"]\n  28 -> 40 [size =\"14649344\"]\n  29 [size=\"159433387\", alpha=\"0.07\", expect_size=\"47830016\"] \n  29 -> 39 [size =\"47830016\"]\n  30 [size=\"110127787\", alpha=\"0.15\", expect_size=\"33038336\"] \n  30 -> 39 [size =\"33038336\"]\n  30 -> 40 [size =\"33038336\"]\n  31 [size=\"163952640\", alpha=\"0.09\", expect_size=\"49185792\"] \n  31 -> 39 [size =\"49185792\"]\n  31 -> 40 [size =\"49185792\"]\n  32 [size=\"81892693\", alpha=\"0.05\", expect_size=\"24567808\"] \n  32 -> 39 [size =\"24567808\"]\n  32 -> 40 [size =\"24567808\"]\n  33 [size=\"120773973\", alpha=\"0.11\", expect_size=\"36232192\"] \n  34 [size=\"66740907\", alpha=\"0.12\", expect_size=\"20022272\"] \n  34 -> 39 [size =\"20022272\"]\n  35 [size=\"99874133\", alpha=\"0.04\", expect_size=\"29962240\"] \n  35 -> 39 [size =\"29962240\"]\n  36 [size=\"155818667\", alpha=\"0.05\", expect_size=\"46745600\"] \n  36 -> 39 [size =\"46745600\"]\n  36 -> 40 [size =\"46745600\"]\n  37 [size=\"20619947\", alpha=\"0.05\", expect_size=\"6185984\"] \n  37 -> 40 [size =\"6185984\"]\n  38 [size=\"37672960\", alpha=\"0.05\", expect_size=\"11301888\"] \n  38 -> 39 [size =\"11301888\"]\n  39 [size=\"94498133\", alpha=\"0.14\", expect_size=\"28349440\"] \n  40 [size=\"151528107\", alpha=\"0.03\", expect_size=\"45458432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17681067\", alpha=\"0.20\", expect_size=\"5304320\"] \n  1 -> 2 [size =\"5304320\"]\n  2 [size=\"44144640\", alpha=\"0.09\", expect_size=\"13243392\"] \n  2 -> 3 [size =\"13243392\"]\n  3 [size=\"99010560\", alpha=\"0.08\", expect_size=\"29703168\"] \n  3 -> 4 [size =\"29703168\"]\n  4 [size=\"111254187\", alpha=\"0.04\", expect_size=\"33376256\"] \n  4 -> 5 [size =\"33376256\"]\n  5 [size=\"114479787\", alpha=\"0.17\", expect_size=\"34343936\"] \n  5 -> 6 [size =\"34343936\"]\n  6 [size=\"118179840\", alpha=\"0.05\", expect_size=\"35453952\"] \n  6 -> 7 [size =\"35453952\"]\n  7 [size=\"151647573\", alpha=\"0.00\", expect_size=\"45494272\"] \n  7 -> 8 [size =\"45494272\"]\n  8 [size=\"100604587\", alpha=\"0.05\", expect_size=\"30181376\"] \n  8 -> 9 [size =\"30181376\"]\n  9 [size=\"83814400\", alpha=\"0.18\", expect_size=\"25144320\"] \n  9 -> 10 [size =\"25144320\"]\n  10 [size=\"126057813\", alpha=\"0.03\", expect_size=\"37817344\"] \n  10 -> 11 [size =\"37817344\"]\n  11 [size=\"40567467\", alpha=\"0.04\", expect_size=\"12170240\"] \n  11 -> 12 [size =\"12170240\"]\n  12 [size=\"38946133\", alpha=\"0.14\", expect_size=\"11683840\"] \n  12 -> 13 [size =\"11683840\"]\n  13 [size=\"112629760\", alpha=\"0.19\", expect_size=\"33788928\"] \n  13 -> 14 [size =\"33788928\"]\n  14 [size=\"19715413\", alpha=\"0.06\", expect_size=\"5914624\"] \n  14 -> 15 [size =\"5914624\"]\n  15 [size=\"54282240\", alpha=\"0.11\", expect_size=\"16284672\"] \n  15 -> 16 [size =\"16284672\"]\n  16 [size=\"27538773\", alpha=\"0.19\", expect_size=\"8261632\"] \n  16 -> 17 [size =\"8261632\"]\n  17 [size=\"70741333\", alpha=\"0.15\", expect_size=\"21222400\"] \n  17 -> 18 [size =\"21222400\"]\n  18 [size=\"73226240\", alpha=\"0.06\", expect_size=\"21967872\"] \n  18 -> 19 [size =\"21967872\"]\n  19 [size=\"113080320\", alpha=\"0.18\", expect_size=\"33924096\"] \n  19 -> 20 [size =\"33924096\"]\n  20 [size=\"98891093\", alpha=\"0.02\", expect_size=\"29667328\"] \n  20 -> 21 [size =\"29667328\"]\n  21 [size=\"122152960\", alpha=\"0.06\", expect_size=\"36645888\"] \n  21 -> 22 [size =\"36645888\"]\n  22 [size=\"149715627\", alpha=\"0.14\", expect_size=\"44914688\"] \n  22 -> 23 [size =\"44914688\"]\n  23 [size=\"100720640\", alpha=\"0.12\", expect_size=\"30216192\"] \n  23 -> 24 [size =\"30216192\"]\n  24 [size=\"92446720\", alpha=\"0.02\", expect_size=\"27734016\"] \n  24 -> 25 [size =\"27734016\"]\n  25 [size=\"136198827\", alpha=\"0.04\", expect_size=\"40859648\"] \n  25 -> 26 [size =\"40859648\"]\n  26 [size=\"62999893\", alpha=\"0.19\", expect_size=\"18899968\"] \n  26 -> 27 [size =\"18899968\"]\n  27 [size=\"52299093\", alpha=\"0.11\", expect_size=\"15689728\"] \n  27 -> 28 [size =\"15689728\"]\n  28 [size=\"169000960\", alpha=\"0.14\", expect_size=\"50700288\"] \n  28 -> 29 [size =\"50700288\"]\n  29 [size=\"62648320\", alpha=\"0.05\", expect_size=\"18794496\"] \n  29 -> 30 [size =\"18794496\"]\n  30 [size=\"45284693\", alpha=\"0.10\", expect_size=\"13585408\"] \n  30 -> 31 [size =\"13585408\"]\n  31 [size=\"60825600\", alpha=\"0.18\", expect_size=\"18247680\"] \n  31 -> 32 [size =\"18247680\"]\n  32 [size=\"109479253\", alpha=\"0.08\", expect_size=\"32843776\"] \n  32 -> 33 [size =\"32843776\"]\n  33 [size=\"60631040\", alpha=\"0.11\", expect_size=\"18189312\"] \n  33 -> 34 [size =\"18189312\"]\n  34 [size=\"153105067\", alpha=\"0.14\", expect_size=\"45931520\"] \n  34 -> 35 [size =\"45931520\"]\n  35 [size=\"166103040\", alpha=\"0.01\", expect_size=\"49830912\"] \n  35 -> 36 [size =\"49830912\"]\n  36 [size=\"39352320\", alpha=\"0.10\", expect_size=\"11805696\"] \n  36 -> 37 [size =\"11805696\"]\n  37 [size=\"30839467\", alpha=\"0.06\", expect_size=\"9251840\"] \n  37 -> 38 [size =\"9251840\"]\n  38 [size=\"117449387\", alpha=\"0.09\", expect_size=\"35234816\"] \n  38 -> 39 [size =\"35234816\"]\n  39 [size=\"67741013\", alpha=\"0.04\", expect_size=\"20322304\"] \n  39 -> 40 [size =\"20322304\"]\n  40 [size=\"105338880\", alpha=\"0.09\", expect_size=\"31601664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73086293\", alpha=\"0.18\", expect_size=\"21925888\"] \n  1 -> 19 [size =\"21925888\"]\n  1 -> 22 [size =\"21925888\"]\n  2 [size=\"53500587\", alpha=\"0.13\", expect_size=\"16050176\"] \n  2 -> 18 [size =\"16050176\"]\n  2 -> 21 [size =\"16050176\"]\n  3 [size=\"122320213\", alpha=\"0.12\", expect_size=\"36696064\"] \n  3 -> 18 [size =\"36696064\"]\n  3 -> 20 [size =\"36696064\"]\n  4 [size=\"57941333\", alpha=\"0.13\", expect_size=\"17382400\"] \n  4 -> 14 [size =\"17382400\"]\n  4 -> 16 [size =\"17382400\"]\n  4 -> 17 [size =\"17382400\"]\n  4 -> 22 [size =\"17382400\"]\n  5 [size=\"169178453\", alpha=\"0.17\", expect_size=\"50753536\"] \n  5 -> 21 [size =\"50753536\"]\n  5 -> 22 [size =\"50753536\"]\n  6 [size=\"92351147\", alpha=\"0.01\", expect_size=\"27705344\"] \n  7 [size=\"112489813\", alpha=\"0.13\", expect_size=\"33746944\"] \n  7 -> 17 [size =\"33746944\"]\n  8 [size=\"137287680\", alpha=\"0.05\", expect_size=\"41186304\"] \n  8 -> 20 [size =\"41186304\"]\n  8 -> 23 [size =\"41186304\"]\n  9 [size=\"167758507\", alpha=\"0.08\", expect_size=\"50327552\"] \n  10 [size=\"141643093\", alpha=\"0.19\", expect_size=\"42492928\"] \n  10 -> 15 [size =\"42492928\"]\n  10 -> 17 [size =\"42492928\"]\n  10 -> 18 [size =\"42492928\"]\n  10 -> 23 [size =\"42492928\"]\n  10 -> 24 [size =\"42492928\"]\n  11 [size=\"167823360\", alpha=\"0.03\", expect_size=\"50347008\"] \n  11 -> 18 [size =\"50347008\"]\n  11 -> 20 [size =\"50347008\"]\n  12 [size=\"148759893\", alpha=\"0.09\", expect_size=\"44627968\"] \n  12 -> 17 [size =\"44627968\"]\n  12 -> 19 [size =\"44627968\"]\n  12 -> 20 [size =\"44627968\"]\n  12 -> 22 [size =\"44627968\"]\n  12 -> 23 [size =\"44627968\"]\n  12 -> 24 [size =\"44627968\"]\n  13 [size=\"94358187\", alpha=\"0.08\", expect_size=\"28307456\"] \n  13 -> 21 [size =\"28307456\"]\n  13 -> 23 [size =\"28307456\"]\n  14 [size=\"30931627\", alpha=\"0.12\", expect_size=\"9279488\"] \n  14 -> 29 [size =\"9279488\"]\n  14 -> 30 [size =\"9279488\"]\n  14 -> 33 [size =\"9279488\"]\n  14 -> 34 [size =\"9279488\"]\n  14 -> 37 [size =\"9279488\"]\n  15 [size=\"132420267\", alpha=\"0.17\", expect_size=\"39726080\"] \n  15 -> 26 [size =\"39726080\"]\n  15 -> 29 [size =\"39726080\"]\n  15 -> 32 [size =\"39726080\"]\n  15 -> 37 [size =\"39726080\"]\n  16 [size=\"111957333\", alpha=\"0.07\", expect_size=\"33587200\"] \n  16 -> 30 [size =\"33587200\"]\n  16 -> 31 [size =\"33587200\"]\n  17 [size=\"116923733\", alpha=\"0.12\", expect_size=\"35077120\"] \n  17 -> 25 [size =\"35077120\"]\n  17 -> 27 [size =\"35077120\"]\n  17 -> 30 [size =\"35077120\"]\n  17 -> 37 [size =\"35077120\"]\n  18 [size=\"65669120\", alpha=\"0.07\", expect_size=\"19700736\"] \n  18 -> 26 [size =\"19700736\"]\n  18 -> 29 [size =\"19700736\"]\n  18 -> 30 [size =\"19700736\"]\n  18 -> 33 [size =\"19700736\"]\n  18 -> 37 [size =\"19700736\"]\n  19 [size=\"102198613\", alpha=\"0.20\", expect_size=\"30659584\"] \n  19 -> 25 [size =\"30659584\"]\n  19 -> 31 [size =\"30659584\"]\n  19 -> 33 [size =\"30659584\"]\n  19 -> 35 [size =\"30659584\"]\n  20 [size=\"163283627\", alpha=\"0.13\", expect_size=\"48985088\"] \n  20 -> 30 [size =\"48985088\"]\n  20 -> 36 [size =\"48985088\"]\n  21 [size=\"155866453\", alpha=\"0.13\", expect_size=\"46759936\"] \n  21 -> 29 [size =\"46759936\"]\n  21 -> 30 [size =\"46759936\"]\n  21 -> 36 [size =\"46759936\"]\n  22 [size=\"21807787\", alpha=\"0.17\", expect_size=\"6542336\"] \n  22 -> 27 [size =\"6542336\"]\n  22 -> 33 [size =\"6542336\"]\n  22 -> 36 [size =\"6542336\"]\n  23 [size=\"91886933\", alpha=\"0.15\", expect_size=\"27566080\"] \n  23 -> 27 [size =\"27566080\"]\n  23 -> 28 [size =\"27566080\"]\n  23 -> 29 [size =\"27566080\"]\n  23 -> 31 [size =\"27566080\"]\n  23 -> 34 [size =\"27566080\"]\n  23 -> 36 [size =\"27566080\"]\n  24 [size=\"151579307\", alpha=\"0.18\", expect_size=\"45473792\"] \n  24 -> 32 [size =\"45473792\"]\n  24 -> 36 [size =\"45473792\"]\n  24 -> 37 [size =\"45473792\"]\n  25 [size=\"87678293\", alpha=\"0.20\", expect_size=\"26303488\"] \n  25 -> 40 [size =\"26303488\"]\n  26 [size=\"65163947\", alpha=\"0.11\", expect_size=\"19549184\"] \n  26 -> 39 [size =\"19549184\"]\n  27 [size=\"118101333\", alpha=\"0.15\", expect_size=\"35430400\"] \n  27 -> 38 [size =\"35430400\"]\n  28 [size=\"55866027\", alpha=\"0.14\", expect_size=\"16759808\"] \n  29 [size=\"113247573\", alpha=\"0.12\", expect_size=\"33974272\"] \n  30 [size=\"113186133\", alpha=\"0.06\", expect_size=\"33955840\"] \n  31 [size=\"56128853\", alpha=\"0.19\", expect_size=\"16838656\"] \n  31 -> 39 [size =\"16838656\"]\n  32 [size=\"154978987\", alpha=\"0.09\", expect_size=\"46493696\"] \n  33 [size=\"131184640\", alpha=\"0.09\", expect_size=\"39355392\"] \n  34 [size=\"89593173\", alpha=\"0.10\", expect_size=\"26877952\"] \n  34 -> 39 [size =\"26877952\"]\n  35 [size=\"70673067\", alpha=\"0.06\", expect_size=\"21201920\"] \n  35 -> 39 [size =\"21201920\"]\n  35 -> 40 [size =\"21201920\"]\n  36 [size=\"68843520\", alpha=\"0.13\", expect_size=\"20653056\"] \n  37 [size=\"158976000\", alpha=\"0.14\", expect_size=\"47692800\"] \n  38 [size=\"121518080\", alpha=\"0.00\", expect_size=\"36455424\"] \n  39 [size=\"76277760\", alpha=\"0.18\", expect_size=\"22883328\"] \n  40 [size=\"173540693\", alpha=\"0.14\", expect_size=\"52062208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57766400\", alpha=\"0.01\", expect_size=\"23106560\"] \n  1 -> 2 [size =\"23106560\"]\n  2 [size=\"103782400\", alpha=\"0.04\", expect_size=\"41512960\"] \n  2 -> 3 [size =\"41512960\"]\n  3 [size=\"51089920\", alpha=\"0.10\", expect_size=\"20435968\"] \n  3 -> 4 [size =\"20435968\"]\n  4 [size=\"79746560\", alpha=\"0.12\", expect_size=\"31898624\"] \n  4 -> 5 [size =\"31898624\"]\n  5 [size=\"35379200\", alpha=\"0.12\", expect_size=\"14151680\"] \n  5 -> 6 [size =\"14151680\"]\n  6 [size=\"107806720\", alpha=\"0.15\", expect_size=\"43122688\"] \n  6 -> 7 [size =\"43122688\"]\n  7 [size=\"119610880\", alpha=\"0.10\", expect_size=\"47844352\"] \n  7 -> 8 [size =\"47844352\"]\n  8 [size=\"130536960\", alpha=\"0.11\", expect_size=\"52214784\"] \n  8 -> 9 [size =\"52214784\"]\n  9 [size=\"42874880\", alpha=\"0.17\", expect_size=\"17149952\"] \n  9 -> 10 [size =\"17149952\"]\n  10 [size=\"29529600\", alpha=\"0.19\", expect_size=\"11811840\"] \n  10 -> 11 [size =\"11811840\"]\n  11 [size=\"122498560\", alpha=\"0.14\", expect_size=\"48999424\"] \n  11 -> 12 [size =\"48999424\"]\n  12 [size=\"126848000\", alpha=\"0.17\", expect_size=\"50739200\"] \n  12 -> 13 [size =\"50739200\"]\n  13 [size=\"35279360\", alpha=\"0.06\", expect_size=\"14111744\"] \n  13 -> 14 [size =\"14111744\"]\n  14 [size=\"94627840\", alpha=\"0.10\", expect_size=\"37851136\"] \n  14 -> 15 [size =\"37851136\"]\n  15 [size=\"48980480\", alpha=\"0.05\", expect_size=\"19592192\"] \n  15 -> 16 [size =\"19592192\"]\n  16 [size=\"120476160\", alpha=\"0.04\", expect_size=\"48190464\"] \n  16 -> 17 [size =\"48190464\"]\n  17 [size=\"92894720\", alpha=\"0.05\", expect_size=\"37157888\"] \n  17 -> 18 [size =\"37157888\"]\n  18 [size=\"34536960\", alpha=\"0.09\", expect_size=\"13814784\"] \n  18 -> 19 [size =\"13814784\"]\n  19 [size=\"101693440\", alpha=\"0.03\", expect_size=\"40677376\"] \n  19 -> 20 [size =\"40677376\"]\n  20 [size=\"84008960\", alpha=\"0.18\", expect_size=\"33603584\"] \n  20 -> 21 [size =\"33603584\"]\n  21 [size=\"77432320\", alpha=\"0.00\", expect_size=\"30972928\"] \n  21 -> 22 [size =\"30972928\"]\n  22 [size=\"44060160\", alpha=\"0.18\", expect_size=\"17624064\"] \n  22 -> 23 [size =\"17624064\"]\n  23 [size=\"25497600\", alpha=\"0.02\", expect_size=\"10199040\"] \n  23 -> 24 [size =\"10199040\"]\n  24 [size=\"59261440\", alpha=\"0.18\", expect_size=\"23704576\"] \n  24 -> 25 [size =\"23704576\"]\n  25 [size=\"120353280\", alpha=\"0.18\", expect_size=\"48141312\"] \n  25 -> 26 [size =\"48141312\"]\n  26 [size=\"31329280\", alpha=\"0.13\", expect_size=\"12531712\"] \n  26 -> 27 [size =\"12531712\"]\n  27 [size=\"52139520\", alpha=\"0.07\", expect_size=\"20855808\"] \n  27 -> 28 [size =\"20855808\"]\n  28 [size=\"79011840\", alpha=\"0.00\", expect_size=\"31604736\"] \n  28 -> 29 [size =\"31604736\"]\n  29 [size=\"13652480\", alpha=\"0.19\", expect_size=\"5460992\"] \n  29 -> 30 [size =\"5460992\"]\n  30 [size=\"29265920\", alpha=\"0.20\", expect_size=\"11706368\"] \n  30 -> 31 [size =\"11706368\"]\n  31 [size=\"15290880\", alpha=\"0.20\", expect_size=\"6116352\"] \n  31 -> 32 [size =\"6116352\"]\n  32 [size=\"16386560\", alpha=\"0.19\", expect_size=\"6554624\"] \n  32 -> 33 [size =\"6554624\"]\n  33 [size=\"123230720\", alpha=\"0.02\", expect_size=\"49292288\"] \n  33 -> 34 [size =\"49292288\"]\n  34 [size=\"19914240\", alpha=\"0.18\", expect_size=\"7965696\"] \n  34 -> 35 [size =\"7965696\"]\n  35 [size=\"126968320\", alpha=\"0.01\", expect_size=\"50787328\"] \n  35 -> 36 [size =\"50787328\"]\n  36 [size=\"112773120\", alpha=\"0.02\", expect_size=\"45109248\"] \n  36 -> 37 [size =\"45109248\"]\n  37 [size=\"72030720\", alpha=\"0.17\", expect_size=\"28812288\"] \n  37 -> 38 [size =\"28812288\"]\n  38 [size=\"111247360\", alpha=\"0.15\", expect_size=\"44498944\"] \n  38 -> 39 [size =\"44498944\"]\n  39 [size=\"111923200\", alpha=\"0.08\", expect_size=\"44769280\"] \n  39 -> 40 [size =\"44769280\"]\n  40 [size=\"103825920\", alpha=\"0.13\", expect_size=\"41530368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89311232\", alpha=\"0.06\", expect_size=\"44655616\"] \n  1 -> 2 [size =\"44655616\"]\n  2 [size=\"13625344\", alpha=\"0.19\", expect_size=\"6812672\"] \n  2 -> 3 [size =\"6812672\"]\n  3 [size=\"11646976\", alpha=\"0.15\", expect_size=\"5823488\"] \n  3 -> 4 [size =\"5823488\"]\n  4 [size=\"71782400\", alpha=\"0.11\", expect_size=\"35891200\"] \n  4 -> 5 [size =\"35891200\"]\n  5 [size=\"94607360\", alpha=\"0.05\", expect_size=\"47303680\"] \n  5 -> 6 [size =\"47303680\"]\n  6 [size=\"102586368\", alpha=\"0.17\", expect_size=\"51293184\"] \n  6 -> 7 [size =\"51293184\"]\n  7 [size=\"55836672\", alpha=\"0.05\", expect_size=\"27918336\"] \n  7 -> 8 [size =\"27918336\"]\n  8 [size=\"40802304\", alpha=\"0.05\", expect_size=\"20401152\"] \n  8 -> 9 [size =\"20401152\"]\n  9 [size=\"51472384\", alpha=\"0.08\", expect_size=\"25736192\"] \n  9 -> 10 [size =\"25736192\"]\n  10 [size=\"22024192\", alpha=\"0.08\", expect_size=\"11012096\"] \n  10 -> 11 [size =\"11012096\"]\n  11 [size=\"88451072\", alpha=\"0.03\", expect_size=\"44225536\"] \n  11 -> 12 [size =\"44225536\"]\n  12 [size=\"20572160\", alpha=\"0.06\", expect_size=\"10286080\"] \n  12 -> 13 [size =\"10286080\"]\n  13 [size=\"16396288\", alpha=\"0.04\", expect_size=\"8198144\"] \n  13 -> 14 [size =\"8198144\"]\n  14 [size=\"88993792\", alpha=\"0.03\", expect_size=\"44496896\"] \n  14 -> 15 [size =\"44496896\"]\n  15 [size=\"44677120\", alpha=\"0.01\", expect_size=\"22338560\"] \n  15 -> 16 [size =\"22338560\"]\n  16 [size=\"70451200\", alpha=\"0.02\", expect_size=\"35225600\"] \n  16 -> 17 [size =\"35225600\"]\n  17 [size=\"57362432\", alpha=\"0.20\", expect_size=\"28681216\"] \n  17 -> 18 [size =\"28681216\"]\n  18 [size=\"79818752\", alpha=\"0.09\", expect_size=\"39909376\"] \n  18 -> 19 [size =\"39909376\"]\n  19 [size=\"10661888\", alpha=\"0.09\", expect_size=\"5330944\"] \n  19 -> 20 [size =\"5330944\"]\n  20 [size=\"46821376\", alpha=\"0.15\", expect_size=\"23410688\"] \n  20 -> 21 [size =\"23410688\"]\n  21 [size=\"85020672\", alpha=\"0.19\", expect_size=\"42510336\"] \n  21 -> 22 [size =\"42510336\"]\n  22 [size=\"96983040\", alpha=\"0.03\", expect_size=\"48491520\"] \n  22 -> 23 [size =\"48491520\"]\n  23 [size=\"31713280\", alpha=\"0.07\", expect_size=\"15856640\"] \n  23 -> 24 [size =\"15856640\"]\n  24 [size=\"48267264\", alpha=\"0.04\", expect_size=\"24133632\"] \n  24 -> 25 [size =\"24133632\"]\n  25 [size=\"63318016\", alpha=\"0.19\", expect_size=\"31659008\"] \n  25 -> 26 [size =\"31659008\"]\n  26 [size=\"68173824\", alpha=\"0.14\", expect_size=\"34086912\"] \n  26 -> 27 [size =\"34086912\"]\n  27 [size=\"78905344\", alpha=\"0.18\", expect_size=\"39452672\"] \n  27 -> 28 [size =\"39452672\"]\n  28 [size=\"78098432\", alpha=\"0.08\", expect_size=\"39049216\"] \n  28 -> 29 [size =\"39049216\"]\n  29 [size=\"26208256\", alpha=\"0.08\", expect_size=\"13104128\"] \n  29 -> 30 [size =\"13104128\"]\n  30 [size=\"67209216\", alpha=\"0.09\", expect_size=\"33604608\"] \n  30 -> 31 [size =\"33604608\"]\n  31 [size=\"44986368\", alpha=\"0.08\", expect_size=\"22493184\"] \n  31 -> 32 [size =\"22493184\"]\n  32 [size=\"38367232\", alpha=\"0.08\", expect_size=\"19183616\"] \n  32 -> 33 [size =\"19183616\"]\n  33 [size=\"50491392\", alpha=\"0.10\", expect_size=\"25245696\"] \n  33 -> 34 [size =\"25245696\"]\n  34 [size=\"82522112\", alpha=\"0.08\", expect_size=\"41261056\"] \n  34 -> 35 [size =\"41261056\"]\n  35 [size=\"101386240\", alpha=\"0.13\", expect_size=\"50693120\"] \n  35 -> 36 [size =\"50693120\"]\n  36 [size=\"96831488\", alpha=\"0.12\", expect_size=\"48415744\"] \n  36 -> 37 [size =\"48415744\"]\n  37 [size=\"66590720\", alpha=\"0.20\", expect_size=\"33295360\"] \n  37 -> 38 [size =\"33295360\"]\n  38 [size=\"56014848\", alpha=\"0.03\", expect_size=\"28007424\"] \n  38 -> 39 [size =\"28007424\"]\n  39 [size=\"95420416\", alpha=\"0.06\", expect_size=\"47710208\"] \n  39 -> 40 [size =\"47710208\"]\n  40 [size=\"37054464\", alpha=\"0.16\", expect_size=\"18527232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65218560\", alpha=\"0.00\", expect_size=\"32609280\"] \n  1 -> 13 [size =\"32609280\"]\n  1 -> 14 [size =\"32609280\"]\n  1 -> 15 [size =\"32609280\"]\n  1 -> 17 [size =\"32609280\"]\n  1 -> 20 [size =\"32609280\"]\n  1 -> 22 [size =\"32609280\"]\n  1 -> 23 [size =\"32609280\"]\n  1 -> 24 [size =\"32609280\"]\n  2 [size=\"61108224\", alpha=\"0.12\", expect_size=\"30554112\"] \n  2 -> 20 [size =\"30554112\"]\n  2 -> 23 [size =\"30554112\"]\n  2 -> 24 [size =\"30554112\"]\n  2 -> 27 [size =\"30554112\"]\n  2 -> 28 [size =\"30554112\"]\n  2 -> 29 [size =\"30554112\"]\n  2 -> 31 [size =\"30554112\"]\n  3 [size=\"24838144\", alpha=\"0.08\", expect_size=\"12419072\"] \n  3 -> 13 [size =\"12419072\"]\n  3 -> 15 [size =\"12419072\"]\n  3 -> 18 [size =\"12419072\"]\n  3 -> 24 [size =\"12419072\"]\n  3 -> 25 [size =\"12419072\"]\n  3 -> 31 [size =\"12419072\"]\n  4 [size=\"56979456\", alpha=\"0.13\", expect_size=\"28489728\"] \n  4 -> 16 [size =\"28489728\"]\n  4 -> 17 [size =\"28489728\"]\n  4 -> 19 [size =\"28489728\"]\n  4 -> 22 [size =\"28489728\"]\n  4 -> 23 [size =\"28489728\"]\n  4 -> 27 [size =\"28489728\"]\n  4 -> 31 [size =\"28489728\"]\n  5 [size=\"94382080\", alpha=\"0.17\", expect_size=\"47191040\"] \n  5 -> 13 [size =\"47191040\"]\n  5 -> 15 [size =\"47191040\"]\n  5 -> 17 [size =\"47191040\"]\n  5 -> 19 [size =\"47191040\"]\n  5 -> 21 [size =\"47191040\"]\n  5 -> 22 [size =\"47191040\"]\n  5 -> 23 [size =\"47191040\"]\n  5 -> 25 [size =\"47191040\"]\n  5 -> 30 [size =\"47191040\"]\n  5 -> 31 [size =\"47191040\"]\n  6 [size=\"58892288\", alpha=\"0.08\", expect_size=\"29446144\"] \n  6 -> 15 [size =\"29446144\"]\n  6 -> 18 [size =\"29446144\"]\n  6 -> 19 [size =\"29446144\"]\n  6 -> 23 [size =\"29446144\"]\n  6 -> 26 [size =\"29446144\"]\n  7 [size=\"89567232\", alpha=\"0.10\", expect_size=\"44783616\"] \n  7 -> 13 [size =\"44783616\"]\n  7 -> 15 [size =\"44783616\"]\n  7 -> 17 [size =\"44783616\"]\n  7 -> 18 [size =\"44783616\"]\n  7 -> 19 [size =\"44783616\"]\n  7 -> 25 [size =\"44783616\"]\n  7 -> 28 [size =\"44783616\"]\n  7 -> 31 [size =\"44783616\"]\n  8 [size=\"13275136\", alpha=\"0.10\", expect_size=\"6637568\"] \n  8 -> 16 [size =\"6637568\"]\n  8 -> 21 [size =\"6637568\"]\n  8 -> 24 [size =\"6637568\"]\n  8 -> 25 [size =\"6637568\"]\n  9 [size=\"93470720\", alpha=\"0.10\", expect_size=\"46735360\"] \n  9 -> 19 [size =\"46735360\"]\n  9 -> 23 [size =\"46735360\"]\n  9 -> 24 [size =\"46735360\"]\n  9 -> 26 [size =\"46735360\"]\n  9 -> 27 [size =\"46735360\"]\n  10 [size=\"62775296\", alpha=\"0.09\", expect_size=\"31387648\"] \n  10 -> 15 [size =\"31387648\"]\n  10 -> 16 [size =\"31387648\"]\n  10 -> 19 [size =\"31387648\"]\n  10 -> 28 [size =\"31387648\"]\n  11 [size=\"98158592\", alpha=\"0.08\", expect_size=\"49079296\"] \n  11 -> 13 [size =\"49079296\"]\n  11 -> 15 [size =\"49079296\"]\n  11 -> 19 [size =\"49079296\"]\n  11 -> 20 [size =\"49079296\"]\n  11 -> 22 [size =\"49079296\"]\n  11 -> 27 [size =\"49079296\"]\n  11 -> 28 [size =\"49079296\"]\n  12 [size=\"99430400\", alpha=\"0.18\", expect_size=\"49715200\"] \n  12 -> 17 [size =\"49715200\"]\n  12 -> 18 [size =\"49715200\"]\n  12 -> 20 [size =\"49715200\"]\n  12 -> 22 [size =\"49715200\"]\n  12 -> 23 [size =\"49715200\"]\n  12 -> 24 [size =\"49715200\"]\n  13 [size=\"63893504\", alpha=\"0.13\", expect_size=\"31946752\"] \n  13 -> 34 [size =\"31946752\"]\n  13 -> 36 [size =\"31946752\"]\n  14 [size=\"101332992\", alpha=\"0.04\", expect_size=\"50666496\"] \n  14 -> 34 [size =\"50666496\"]\n  14 -> 35 [size =\"50666496\"]\n  14 -> 37 [size =\"50666496\"]\n  15 [size=\"68659200\", alpha=\"0.05\", expect_size=\"34329600\"] \n  15 -> 40 [size =\"34329600\"]\n  16 [size=\"53266432\", alpha=\"0.13\", expect_size=\"26633216\"] \n  16 -> 34 [size =\"26633216\"]\n  17 [size=\"91000832\", alpha=\"0.19\", expect_size=\"45500416\"] \n  17 -> 34 [size =\"45500416\"]\n  17 -> 37 [size =\"45500416\"]\n  18 [size=\"41728000\", alpha=\"0.02\", expect_size=\"20864000\"] \n  18 -> 38 [size =\"20864000\"]\n  19 [size=\"88848384\", alpha=\"0.01\", expect_size=\"44424192\"] \n  19 -> 38 [size =\"44424192\"]\n  19 -> 40 [size =\"44424192\"]\n  20 [size=\"41111552\", alpha=\"0.10\", expect_size=\"20555776\"] \n  20 -> 34 [size =\"20555776\"]\n  20 -> 36 [size =\"20555776\"]\n  20 -> 38 [size =\"20555776\"]\n  21 [size=\"85534720\", alpha=\"0.11\", expect_size=\"42767360\"] \n  21 -> 32 [size =\"42767360\"]\n  21 -> 38 [size =\"42767360\"]\n  21 -> 38 [size =\"42767360\"]\n  21 -> 40 [size =\"42767360\"]\n  22 [size=\"31051776\", alpha=\"0.03\", expect_size=\"15525888\"] \n  22 -> 35 [size =\"15525888\"]\n  22 -> 38 [size =\"15525888\"]\n  22 -> 39 [size =\"15525888\"]\n  23 [size=\"23011328\", alpha=\"0.17\", expect_size=\"11505664\"] \n  23 -> 32 [size =\"11505664\"]\n  23 -> 36 [size =\"11505664\"]\n  23 -> 37 [size =\"11505664\"]\n  23 -> 40 [size =\"11505664\"]\n  24 [size=\"82423808\", alpha=\"0.02\", expect_size=\"41211904\"] \n  25 [size=\"100067328\", alpha=\"0.04\", expect_size=\"50033664\"] \n  25 -> 38 [size =\"50033664\"]\n  25 -> 39 [size =\"50033664\"]\n  26 [size=\"27246592\", alpha=\"0.17\", expect_size=\"13623296\"] \n  26 -> 33 [size =\"13623296\"]\n  26 -> 34 [size =\"13623296\"]\n  27 [size=\"89530368\", alpha=\"0.06\", expect_size=\"44765184\"] \n  27 -> 35 [size =\"44765184\"]\n  27 -> 36 [size =\"44765184\"]\n  27 -> 40 [size =\"44765184\"]\n  28 [size=\"85966848\", alpha=\"0.16\", expect_size=\"42983424\"] \n  28 -> 32 [size =\"42983424\"]\n  28 -> 34 [size =\"42983424\"]\n  28 -> 36 [size =\"42983424\"]\n  28 -> 38 [size =\"42983424\"]\n  28 -> 40 [size =\"42983424\"]\n  29 [size=\"93243392\", alpha=\"0.03\", expect_size=\"46621696\"] \n  29 -> 33 [size =\"46621696\"]\n  29 -> 35 [size =\"46621696\"]\n  29 -> 36 [size =\"46621696\"]\n  30 [size=\"98928640\", alpha=\"0.02\", expect_size=\"49464320\"] \n  30 -> 34 [size =\"49464320\"]\n  30 -> 35 [size =\"49464320\"]\n  30 -> 36 [size =\"49464320\"]\n  30 -> 38 [size =\"49464320\"]\n  31 [size=\"53786624\", alpha=\"0.19\", expect_size=\"26893312\"] \n  31 -> 34 [size =\"26893312\"]\n  31 -> 36 [size =\"26893312\"]\n  31 -> 37 [size =\"26893312\"]\n  31 -> 38 [size =\"26893312\"]\n  32 [size=\"12550144\", alpha=\"0.15\", expect_size=\"6275072\"] \n  33 [size=\"25845760\", alpha=\"0.02\", expect_size=\"12922880\"] \n  34 [size=\"13651968\", alpha=\"0.08\", expect_size=\"6825984\"] \n  35 [size=\"22464512\", alpha=\"0.07\", expect_size=\"11232256\"] \n  36 [size=\"41811968\", alpha=\"0.15\", expect_size=\"20905984\"] \n  37 [size=\"25724928\", alpha=\"0.00\", expect_size=\"12862464\"] \n  38 [size=\"53288960\", alpha=\"0.12\", expect_size=\"26644480\"] \n  39 [size=\"32919552\", alpha=\"0.20\", expect_size=\"16459776\"] \n  40 [size=\"47603712\", alpha=\"0.15\", expect_size=\"23801856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99934720\", alpha=\"0.05\", expect_size=\"39973888\"] \n  1 -> 7 [size =\"39973888\"]\n  1 -> 8 [size =\"39973888\"]\n  2 [size=\"98311680\", alpha=\"0.03\", expect_size=\"39324672\"] \n  2 -> 5 [size =\"39324672\"]\n  2 -> 6 [size =\"39324672\"]\n  2 -> 7 [size =\"39324672\"]\n  3 [size=\"29493760\", alpha=\"0.18\", expect_size=\"11797504\"] \n  4 [size=\"115453440\", alpha=\"0.05\", expect_size=\"46181376\"] \n  5 [size=\"77647360\", alpha=\"0.14\", expect_size=\"31058944\"] \n  5 -> 9 [size =\"31058944\"]\n  5 -> 12 [size =\"31058944\"]\n  6 [size=\"98416640\", alpha=\"0.02\", expect_size=\"39366656\"] \n  6 -> 9 [size =\"39366656\"]\n  6 -> 10 [size =\"39366656\"]\n  6 -> 13 [size =\"39366656\"]\n  7 [size=\"62960640\", alpha=\"0.04\", expect_size=\"25184256\"] \n  7 -> 11 [size =\"25184256\"]\n  7 -> 13 [size =\"25184256\"]\n  8 [size=\"28047360\", alpha=\"0.08\", expect_size=\"11218944\"] \n  8 -> 11 [size =\"11218944\"]\n  8 -> 12 [size =\"11218944\"]\n  9 [size=\"63923200\", alpha=\"0.02\", expect_size=\"25569280\"] \n  9 -> 14 [size =\"25569280\"]\n  9 -> 15 [size =\"25569280\"]\n  9 -> 17 [size =\"25569280\"]\n  10 [size=\"101905920\", alpha=\"0.17\", expect_size=\"40762368\"] \n  10 -> 16 [size =\"40762368\"]\n  10 -> 19 [size =\"40762368\"]\n  10 -> 20 [size =\"40762368\"]\n  11 [size=\"52928000\", alpha=\"0.14\", expect_size=\"21171200\"] \n  11 -> 14 [size =\"21171200\"]\n  11 -> 18 [size =\"21171200\"]\n  12 [size=\"80916480\", alpha=\"0.10\", expect_size=\"32366592\"] \n  12 -> 20 [size =\"32366592\"]\n  13 [size=\"100456960\", alpha=\"0.06\", expect_size=\"40182784\"] \n  13 -> 16 [size =\"40182784\"]\n  13 -> 18 [size =\"40182784\"]\n  13 -> 19 [size =\"40182784\"]\n  14 [size=\"89927680\", alpha=\"0.05\", expect_size=\"35971072\"] \n  14 -> 23 [size =\"35971072\"]\n  15 [size=\"120977920\", alpha=\"0.04\", expect_size=\"48391168\"] \n  16 [size=\"87708160\", alpha=\"0.14\", expect_size=\"35083264\"] \n  16 -> 23 [size =\"35083264\"]\n  16 -> 24 [size =\"35083264\"]\n  17 [size=\"97881600\", alpha=\"0.09\", expect_size=\"39152640\"] \n  17 -> 22 [size =\"39152640\"]\n  17 -> 24 [size =\"39152640\"]\n  18 [size=\"119598080\", alpha=\"0.05\", expect_size=\"47839232\"] \n  18 -> 23 [size =\"47839232\"]\n  18 -> 24 [size =\"47839232\"]\n  19 [size=\"46794240\", alpha=\"0.11\", expect_size=\"18717696\"] \n  19 -> 21 [size =\"18717696\"]\n  19 -> 23 [size =\"18717696\"]\n  19 -> 24 [size =\"18717696\"]\n  20 [size=\"59466240\", alpha=\"0.16\", expect_size=\"23786496\"] \n  21 [size=\"44254720\", alpha=\"0.15\", expect_size=\"17701888\"] \n  21 -> 26 [size =\"17701888\"]\n  21 -> 28 [size =\"17701888\"]\n  21 -> 30 [size =\"17701888\"]\n  21 -> 31 [size =\"17701888\"]\n  21 -> 32 [size =\"17701888\"]\n  22 [size=\"126648320\", alpha=\"0.09\", expect_size=\"50659328\"] \n  22 -> 25 [size =\"50659328\"]\n  22 -> 26 [size =\"50659328\"]\n  22 -> 27 [size =\"50659328\"]\n  22 -> 29 [size =\"50659328\"]\n  23 [size=\"67745280\", alpha=\"0.06\", expect_size=\"27098112\"] \n  23 -> 29 [size =\"27098112\"]\n  24 [size=\"105128960\", alpha=\"0.00\", expect_size=\"42051584\"] \n  24 -> 32 [size =\"42051584\"]\n  25 [size=\"13754880\", alpha=\"0.05\", expect_size=\"5501952\"] \n  25 -> 34 [size =\"5501952\"]\n  26 [size=\"35253760\", alpha=\"0.05\", expect_size=\"14101504\"] \n  26 -> 34 [size =\"14101504\"]\n  26 -> 36 [size =\"14101504\"]\n  26 -> 37 [size =\"14101504\"]\n  26 -> 39 [size =\"14101504\"]\n  27 [size=\"115793920\", alpha=\"0.12\", expect_size=\"46317568\"] \n  27 -> 34 [size =\"46317568\"]\n  27 -> 38 [size =\"46317568\"]\n  28 [size=\"52828160\", alpha=\"0.03\", expect_size=\"21131264\"] \n  28 -> 33 [size =\"21131264\"]\n  28 -> 35 [size =\"21131264\"]\n  28 -> 38 [size =\"21131264\"]\n  29 [size=\"84321280\", alpha=\"0.02\", expect_size=\"33728512\"] \n  29 -> 35 [size =\"33728512\"]\n  29 -> 38 [size =\"33728512\"]\n  29 -> 39 [size =\"33728512\"]\n  30 [size=\"31165440\", alpha=\"0.16\", expect_size=\"12466176\"] \n  30 -> 33 [size =\"12466176\"]\n  30 -> 37 [size =\"12466176\"]\n  31 [size=\"124180480\", alpha=\"0.17\", expect_size=\"49672192\"] \n  31 -> 33 [size =\"49672192\"]\n  32 [size=\"96299520\", alpha=\"0.09\", expect_size=\"38519808\"] \n  32 -> 34 [size =\"38519808\"]\n  32 -> 39 [size =\"38519808\"]\n  33 [size=\"32729600\", alpha=\"0.17\", expect_size=\"13091840\"] \n  34 [size=\"67822080\", alpha=\"0.17\", expect_size=\"27128832\"] \n  34 -> 40 [size =\"27128832\"]\n  35 [size=\"67993600\", alpha=\"0.15\", expect_size=\"27197440\"] \n  35 -> 40 [size =\"27197440\"]\n  36 [size=\"97786880\", alpha=\"0.07\", expect_size=\"39114752\"] \n  36 -> 40 [size =\"39114752\"]\n  37 [size=\"124546560\", alpha=\"0.12\", expect_size=\"49818624\"] \n  37 -> 40 [size =\"49818624\"]\n  38 [size=\"80161280\", alpha=\"0.16\", expect_size=\"32064512\"] \n  39 [size=\"97541120\", alpha=\"0.05\", expect_size=\"39016448\"] \n  40 [size=\"109539840\", alpha=\"0.02\", expect_size=\"43815936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30252373\", alpha=\"0.14\", expect_size=\"9075712\"] \n  1 -> 28 [size =\"9075712\"]\n  1 -> 31 [size =\"9075712\"]\n  1 -> 32 [size =\"9075712\"]\n  1 -> 33 [size =\"9075712\"]\n  1 -> 37 [size =\"9075712\"]\n  1 -> 39 [size =\"9075712\"]\n  2 [size=\"79056213\", alpha=\"0.13\", expect_size=\"23716864\"] \n  2 -> 32 [size =\"23716864\"]\n  2 -> 34 [size =\"23716864\"]\n  2 -> 36 [size =\"23716864\"]\n  3 [size=\"149445973\", alpha=\"0.15\", expect_size=\"44833792\"] \n  3 -> 27 [size =\"44833792\"]\n  3 -> 28 [size =\"44833792\"]\n  3 -> 30 [size =\"44833792\"]\n  3 -> 31 [size =\"44833792\"]\n  3 -> 32 [size =\"44833792\"]\n  3 -> 34 [size =\"44833792\"]\n  3 -> 36 [size =\"44833792\"]\n  4 [size=\"23237973\", alpha=\"0.05\", expect_size=\"6971392\"] \n  4 -> 32 [size =\"6971392\"]\n  4 -> 34 [size =\"6971392\"]\n  4 -> 36 [size =\"6971392\"]\n  4 -> 38 [size =\"6971392\"]\n  4 -> 39 [size =\"6971392\"]\n  5 [size=\"113568427\", alpha=\"0.05\", expect_size=\"34070528\"] \n  5 -> 34 [size =\"34070528\"]\n  5 -> 34 [size =\"34070528\"]\n  5 -> 36 [size =\"34070528\"]\n  6 [size=\"77690880\", alpha=\"0.11\", expect_size=\"23307264\"] \n  6 -> 30 [size =\"23307264\"]\n  6 -> 35 [size =\"23307264\"]\n  6 -> 36 [size =\"23307264\"]\n  7 [size=\"45154987\", alpha=\"0.12\", expect_size=\"13546496\"] \n  7 -> 31 [size =\"13546496\"]\n  7 -> 32 [size =\"13546496\"]\n  7 -> 35 [size =\"13546496\"]\n  8 [size=\"87698773\", alpha=\"0.00\", expect_size=\"26309632\"] \n  8 -> 29 [size =\"26309632\"]\n  8 -> 30 [size =\"26309632\"]\n  8 -> 31 [size =\"26309632\"]\n  9 [size=\"67717120\", alpha=\"0.07\", expect_size=\"20315136\"] \n  9 -> 31 [size =\"20315136\"]\n  9 -> 32 [size =\"20315136\"]\n  9 -> 33 [size =\"20315136\"]\n  9 -> 35 [size =\"20315136\"]\n  10 [size=\"131826347\", alpha=\"0.15\", expect_size=\"39547904\"] \n  10 -> 30 [size =\"39547904\"]\n  10 -> 32 [size =\"39547904\"]\n  10 -> 33 [size =\"39547904\"]\n  10 -> 35 [size =\"39547904\"]\n  10 -> 36 [size =\"39547904\"]\n  10 -> 40 [size =\"39547904\"]\n  11 [size=\"151439360\", alpha=\"0.02\", expect_size=\"45431808\"] \n  11 -> 30 [size =\"45431808\"]\n  11 -> 34 [size =\"45431808\"]\n  11 -> 35 [size =\"45431808\"]\n  11 -> 36 [size =\"45431808\"]\n  11 -> 39 [size =\"45431808\"]\n  12 [size=\"101621760\", alpha=\"0.12\", expect_size=\"30486528\"] \n  12 -> 31 [size =\"30486528\"]\n  13 [size=\"49186133\", alpha=\"0.01\", expect_size=\"14755840\"] \n  13 -> 28 [size =\"14755840\"]\n  13 -> 33 [size =\"14755840\"]\n  14 [size=\"166553600\", alpha=\"0.13\", expect_size=\"49966080\"] \n  14 -> 27 [size =\"49966080\"]\n  14 -> 28 [size =\"49966080\"]\n  14 -> 30 [size =\"49966080\"]\n  14 -> 33 [size =\"49966080\"]\n  14 -> 34 [size =\"49966080\"]\n  14 -> 37 [size =\"49966080\"]\n  14 -> 40 [size =\"49966080\"]\n  15 [size=\"49704960\", alpha=\"0.18\", expect_size=\"14911488\"] \n  15 -> 28 [size =\"14911488\"]\n  15 -> 30 [size =\"14911488\"]\n  15 -> 33 [size =\"14911488\"]\n  15 -> 39 [size =\"14911488\"]\n  16 [size=\"90494293\", alpha=\"0.13\", expect_size=\"27148288\"] \n  16 -> 31 [size =\"27148288\"]\n  17 [size=\"22739627\", alpha=\"0.04\", expect_size=\"6821888\"] \n  17 -> 34 [size =\"6821888\"]\n  17 -> 39 [size =\"6821888\"]\n  18 [size=\"117476693\", alpha=\"0.03\", expect_size=\"35243008\"] \n  18 -> 27 [size =\"35243008\"]\n  18 -> 29 [size =\"35243008\"]\n  18 -> 31 [size =\"35243008\"]\n  18 -> 34 [size =\"35243008\"]\n  18 -> 36 [size =\"35243008\"]\n  18 -> 37 [size =\"35243008\"]\n  19 [size=\"120497493\", alpha=\"0.16\", expect_size=\"36149248\"] \n  19 -> 27 [size =\"36149248\"]\n  19 -> 30 [size =\"36149248\"]\n  19 -> 32 [size =\"36149248\"]\n  19 -> 36 [size =\"36149248\"]\n  19 -> 37 [size =\"36149248\"]\n  20 [size=\"173711360\", alpha=\"0.16\", expect_size=\"52113408\"] \n  20 -> 28 [size =\"52113408\"]\n  20 -> 30 [size =\"52113408\"]\n  20 -> 32 [size =\"52113408\"]\n  20 -> 34 [size =\"52113408\"]\n  20 -> 37 [size =\"52113408\"]\n  21 [size=\"134007467\", alpha=\"0.17\", expect_size=\"40202240\"] \n  21 -> 32 [size =\"40202240\"]\n  21 -> 33 [size =\"40202240\"]\n  21 -> 34 [size =\"40202240\"]\n  22 [size=\"150517760\", alpha=\"0.07\", expect_size=\"45155328\"] \n  22 -> 27 [size =\"45155328\"]\n  22 -> 39 [size =\"45155328\"]\n  23 [size=\"84746240\", alpha=\"0.13\", expect_size=\"25423872\"] \n  24 [size=\"95470933\", alpha=\"0.00\", expect_size=\"28641280\"] \n  24 -> 28 [size =\"28641280\"]\n  24 -> 32 [size =\"28641280\"]\n  25 [size=\"42110293\", alpha=\"0.19\", expect_size=\"12633088\"] \n  25 -> 28 [size =\"12633088\"]\n  25 -> 30 [size =\"12633088\"]\n  25 -> 39 [size =\"12633088\"]\n  26 [size=\"23511040\", alpha=\"0.06\", expect_size=\"7053312\"] \n  26 -> 28 [size =\"7053312\"]\n  26 -> 30 [size =\"7053312\"]\n  26 -> 34 [size =\"7053312\"]\n  26 -> 35 [size =\"7053312\"]\n  26 -> 39 [size =\"7053312\"]\n  26 -> 40 [size =\"7053312\"]\n  27 [size=\"127279787\", alpha=\"0.17\", expect_size=\"38183936\"] \n  28 [size=\"159549440\", alpha=\"0.16\", expect_size=\"47864832\"] \n  29 [size=\"24514560\", alpha=\"0.02\", expect_size=\"7354368\"] \n  30 [size=\"148534613\", alpha=\"0.02\", expect_size=\"44560384\"] \n  31 [size=\"115346773\", alpha=\"0.19\", expect_size=\"34604032\"] \n  32 [size=\"95016960\", alpha=\"0.07\", expect_size=\"28505088\"] \n  33 [size=\"149128533\", alpha=\"0.19\", expect_size=\"44738560\"] \n  34 [size=\"95081813\", alpha=\"0.10\", expect_size=\"28524544\"] \n  35 [size=\"95928320\", alpha=\"0.05\", expect_size=\"28778496\"] \n  36 [size=\"90470400\", alpha=\"0.09\", expect_size=\"27141120\"] \n  37 [size=\"138929493\", alpha=\"0.14\", expect_size=\"41678848\"] \n  38 [size=\"111701333\", alpha=\"0.12\", expect_size=\"33510400\"] \n  39 [size=\"79001600\", alpha=\"0.03\", expect_size=\"23700480\"] \n  40 [size=\"91077973\", alpha=\"0.14\", expect_size=\"27323392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76042240\", alpha=\"0.01\", expect_size=\"38021120\"] \n  1 -> 32 [size =\"38021120\"]\n  1 -> 36 [size =\"38021120\"]\n  2 [size=\"42854400\", alpha=\"0.15\", expect_size=\"21427200\"] \n  2 -> 30 [size =\"21427200\"]\n  2 -> 31 [size =\"21427200\"]\n  2 -> 36 [size =\"21427200\"]\n  2 -> 37 [size =\"21427200\"]\n  2 -> 39 [size =\"21427200\"]\n  2 -> 40 [size =\"21427200\"]\n  3 [size=\"54069248\", alpha=\"0.06\", expect_size=\"27034624\"] \n  3 -> 31 [size =\"27034624\"]\n  3 -> 33 [size =\"27034624\"]\n  3 -> 34 [size =\"27034624\"]\n  3 -> 35 [size =\"27034624\"]\n  3 -> 36 [size =\"27034624\"]\n  3 -> 37 [size =\"27034624\"]\n  3 -> 40 [size =\"27034624\"]\n  4 [size=\"45838336\", alpha=\"0.07\", expect_size=\"22919168\"] \n  4 -> 31 [size =\"22919168\"]\n  4 -> 33 [size =\"22919168\"]\n  4 -> 36 [size =\"22919168\"]\n  4 -> 37 [size =\"22919168\"]\n  4 -> 39 [size =\"22919168\"]\n  5 [size=\"68155392\", alpha=\"0.13\", expect_size=\"34077696\"] \n  5 -> 35 [size =\"34077696\"]\n  5 -> 36 [size =\"34077696\"]\n  5 -> 40 [size =\"34077696\"]\n  6 [size=\"51218432\", alpha=\"0.08\", expect_size=\"25609216\"] \n  6 -> 31 [size =\"25609216\"]\n  6 -> 35 [size =\"25609216\"]\n  6 -> 38 [size =\"25609216\"]\n  6 -> 40 [size =\"25609216\"]\n  7 [size=\"43026432\", alpha=\"0.01\", expect_size=\"21513216\"] \n  7 -> 30 [size =\"21513216\"]\n  7 -> 32 [size =\"21513216\"]\n  7 -> 35 [size =\"21513216\"]\n  7 -> 36 [size =\"21513216\"]\n  7 -> 40 [size =\"21513216\"]\n  8 [size=\"78182400\", alpha=\"0.10\", expect_size=\"39091200\"] \n  8 -> 32 [size =\"39091200\"]\n  8 -> 34 [size =\"39091200\"]\n  8 -> 37 [size =\"39091200\"]\n  8 -> 39 [size =\"39091200\"]\n  8 -> 40 [size =\"39091200\"]\n  9 [size=\"36241408\", alpha=\"0.01\", expect_size=\"18120704\"] \n  9 -> 30 [size =\"18120704\"]\n  9 -> 35 [size =\"18120704\"]\n  9 -> 40 [size =\"18120704\"]\n  10 [size=\"47751168\", alpha=\"0.14\", expect_size=\"23875584\"] \n  10 -> 33 [size =\"23875584\"]\n  10 -> 35 [size =\"23875584\"]\n  10 -> 37 [size =\"23875584\"]\n  10 -> 40 [size =\"23875584\"]\n  11 [size=\"90986496\", alpha=\"0.14\", expect_size=\"45493248\"] \n  11 -> 31 [size =\"45493248\"]\n  11 -> 33 [size =\"45493248\"]\n  11 -> 35 [size =\"45493248\"]\n  11 -> 40 [size =\"45493248\"]\n  12 [size=\"96630784\", alpha=\"0.18\", expect_size=\"48315392\"] \n  12 -> 32 [size =\"48315392\"]\n  12 -> 34 [size =\"48315392\"]\n  12 -> 35 [size =\"48315392\"]\n  12 -> 36 [size =\"48315392\"]\n  12 -> 37 [size =\"48315392\"]\n  12 -> 40 [size =\"48315392\"]\n  13 [size=\"74606592\", alpha=\"0.01\", expect_size=\"37303296\"] \n  13 -> 32 [size =\"37303296\"]\n  13 -> 35 [size =\"37303296\"]\n  13 -> 35 [size =\"37303296\"]\n  13 -> 37 [size =\"37303296\"]\n  13 -> 40 [size =\"37303296\"]\n  13 -> 40 [size =\"37303296\"]\n  14 [size=\"100724736\", alpha=\"0.19\", expect_size=\"50362368\"] \n  14 -> 32 [size =\"50362368\"]\n  14 -> 40 [size =\"50362368\"]\n  15 [size=\"41674752\", alpha=\"0.12\", expect_size=\"20837376\"] \n  15 -> 32 [size =\"20837376\"]\n  15 -> 37 [size =\"20837376\"]\n  15 -> 38 [size =\"20837376\"]\n  15 -> 39 [size =\"20837376\"]\n  15 -> 40 [size =\"20837376\"]\n  16 [size=\"101931008\", alpha=\"0.06\", expect_size=\"50965504\"] \n  16 -> 30 [size =\"50965504\"]\n  16 -> 33 [size =\"50965504\"]\n  16 -> 34 [size =\"50965504\"]\n  16 -> 35 [size =\"50965504\"]\n  16 -> 36 [size =\"50965504\"]\n  16 -> 37 [size =\"50965504\"]\n  16 -> 40 [size =\"50965504\"]\n  17 [size=\"46411776\", alpha=\"0.10\", expect_size=\"23205888\"] \n  17 -> 31 [size =\"23205888\"]\n  17 -> 32 [size =\"23205888\"]\n  17 -> 38 [size =\"23205888\"]\n  17 -> 40 [size =\"23205888\"]\n  18 [size=\"49242112\", alpha=\"0.08\", expect_size=\"24621056\"] \n  18 -> 31 [size =\"24621056\"]\n  18 -> 34 [size =\"24621056\"]\n  18 -> 35 [size =\"24621056\"]\n  18 -> 37 [size =\"24621056\"]\n  18 -> 38 [size =\"24621056\"]\n  18 -> 40 [size =\"24621056\"]\n  19 [size=\"96790528\", alpha=\"0.19\", expect_size=\"48395264\"] \n  19 -> 30 [size =\"48395264\"]\n  19 -> 35 [size =\"48395264\"]\n  19 -> 36 [size =\"48395264\"]\n  19 -> 38 [size =\"48395264\"]\n  19 -> 39 [size =\"48395264\"]\n  19 -> 40 [size =\"48395264\"]\n  20 [size=\"101894144\", alpha=\"0.05\", expect_size=\"50947072\"] \n  20 -> 30 [size =\"50947072\"]\n  20 -> 31 [size =\"50947072\"]\n  20 -> 33 [size =\"50947072\"]\n  20 -> 34 [size =\"50947072\"]\n  20 -> 35 [size =\"50947072\"]\n  20 -> 39 [size =\"50947072\"]\n  20 -> 40 [size =\"50947072\"]\n  21 [size=\"72226816\", alpha=\"0.04\", expect_size=\"36113408\"] \n  21 -> 35 [size =\"36113408\"]\n  21 -> 40 [size =\"36113408\"]\n  22 [size=\"42964992\", alpha=\"0.10\", expect_size=\"21482496\"] \n  22 -> 31 [size =\"21482496\"]\n  22 -> 32 [size =\"21482496\"]\n  22 -> 33 [size =\"21482496\"]\n  22 -> 37 [size =\"21482496\"]\n  22 -> 40 [size =\"21482496\"]\n  23 [size=\"33234944\", alpha=\"0.06\", expect_size=\"16617472\"] \n  23 -> 30 [size =\"16617472\"]\n  23 -> 31 [size =\"16617472\"]\n  23 -> 37 [size =\"16617472\"]\n  23 -> 40 [size =\"16617472\"]\n  23 -> 40 [size =\"16617472\"]\n  24 [size=\"39118848\", alpha=\"0.09\", expect_size=\"19559424\"] \n  24 -> 31 [size =\"19559424\"]\n  24 -> 32 [size =\"19559424\"]\n  24 -> 33 [size =\"19559424\"]\n  24 -> 34 [size =\"19559424\"]\n  24 -> 36 [size =\"19559424\"]\n  24 -> 38 [size =\"19559424\"]\n  24 -> 40 [size =\"19559424\"]\n  25 [size=\"36227072\", alpha=\"0.04\", expect_size=\"18113536\"] \n  25 -> 31 [size =\"18113536\"]\n  25 -> 33 [size =\"18113536\"]\n  25 -> 35 [size =\"18113536\"]\n  25 -> 37 [size =\"18113536\"]\n  26 [size=\"95117312\", alpha=\"0.08\", expect_size=\"47558656\"] \n  26 -> 30 [size =\"47558656\"]\n  26 -> 31 [size =\"47558656\"]\n  26 -> 32 [size =\"47558656\"]\n  26 -> 33 [size =\"47558656\"]\n  26 -> 35 [size =\"47558656\"]\n  27 [size=\"29626368\", alpha=\"0.18\", expect_size=\"14813184\"] \n  27 -> 31 [size =\"14813184\"]\n  27 -> 31 [size =\"14813184\"]\n  27 -> 32 [size =\"14813184\"]\n  27 -> 35 [size =\"14813184\"]\n  27 -> 35 [size =\"14813184\"]\n  27 -> 36 [size =\"14813184\"]\n  27 -> 40 [size =\"14813184\"]\n  28 [size=\"75046912\", alpha=\"0.03\", expect_size=\"37523456\"] \n  28 -> 30 [size =\"37523456\"]\n  28 -> 31 [size =\"37523456\"]\n  28 -> 32 [size =\"37523456\"]\n  28 -> 33 [size =\"37523456\"]\n  28 -> 39 [size =\"37523456\"]\n  29 [size=\"18696192\", alpha=\"0.14\", expect_size=\"9348096\"] \n  29 -> 31 [size =\"9348096\"]\n  29 -> 31 [size =\"9348096\"]\n  29 -> 32 [size =\"9348096\"]\n  29 -> 33 [size =\"9348096\"]\n  29 -> 36 [size =\"9348096\"]\n  30 [size=\"16115712\", alpha=\"0.12\", expect_size=\"8057856\"] \n  31 [size=\"39116800\", alpha=\"0.07\", expect_size=\"19558400\"] \n  32 [size=\"58886144\", alpha=\"0.01\", expect_size=\"29443072\"] \n  33 [size=\"13418496\", alpha=\"0.08\", expect_size=\"6709248\"] \n  34 [size=\"40673280\", alpha=\"0.15\", expect_size=\"20336640\"] \n  35 [size=\"81633280\", alpha=\"0.08\", expect_size=\"40816640\"] \n  36 [size=\"99594240\", alpha=\"0.00\", expect_size=\"49797120\"] \n  37 [size=\"40921088\", alpha=\"0.00\", expect_size=\"20460544\"] \n  38 [size=\"32524288\", alpha=\"0.08\", expect_size=\"16262144\"] \n  39 [size=\"47732736\", alpha=\"0.15\", expect_size=\"23866368\"] \n  40 [size=\"17928192\", alpha=\"0.01\", expect_size=\"8964096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16281600\", alpha=\"0.19\", expect_size=\"8140800\"] \n  1 -> 5 [size =\"8140800\"]\n  1 -> 6 [size =\"8140800\"]\n  2 [size=\"15507456\", alpha=\"0.09\", expect_size=\"7753728\"] \n  2 -> 6 [size =\"7753728\"]\n  2 -> 6 [size =\"7753728\"]\n  3 [size=\"35516416\", alpha=\"0.19\", expect_size=\"17758208\"] \n  3 -> 5 [size =\"17758208\"]\n  3 -> 6 [size =\"17758208\"]\n  4 [size=\"91482112\", alpha=\"0.13\", expect_size=\"45741056\"] \n  4 -> 5 [size =\"45741056\"]\n  5 [size=\"51380224\", alpha=\"0.20\", expect_size=\"25690112\"] \n  5 -> 7 [size =\"25690112\"]\n  5 -> 8 [size =\"25690112\"]\n  6 [size=\"102000640\", alpha=\"0.05\", expect_size=\"51000320\"] \n  6 -> 8 [size =\"51000320\"]\n  7 [size=\"35254272\", alpha=\"0.14\", expect_size=\"17627136\"] \n  7 -> 9 [size =\"17627136\"]\n  8 [size=\"61294592\", alpha=\"0.11\", expect_size=\"30647296\"] \n  9 [size=\"20000768\", alpha=\"0.06\", expect_size=\"10000384\"] \n  9 -> 10 [size =\"10000384\"]\n  9 -> 11 [size =\"10000384\"]\n  10 [size=\"84738048\", alpha=\"0.06\", expect_size=\"42369024\"] \n  10 -> 12 [size =\"42369024\"]\n  10 -> 13 [size =\"42369024\"]\n  11 [size=\"92243968\", alpha=\"0.16\", expect_size=\"46121984\"] \n  11 -> 12 [size =\"46121984\"]\n  11 -> 13 [size =\"46121984\"]\n  12 [size=\"86829056\", alpha=\"0.10\", expect_size=\"43414528\"] \n  12 -> 14 [size =\"43414528\"]\n  12 -> 15 [size =\"43414528\"]\n  12 -> 16 [size =\"43414528\"]\n  12 -> 17 [size =\"43414528\"]\n  13 [size=\"36696064\", alpha=\"0.18\", expect_size=\"18348032\"] \n  13 -> 15 [size =\"18348032\"]\n  13 -> 16 [size =\"18348032\"]\n  13 -> 17 [size =\"18348032\"]\n  14 [size=\"30568448\", alpha=\"0.07\", expect_size=\"15284224\"] \n  14 -> 18 [size =\"15284224\"]\n  14 -> 20 [size =\"15284224\"]\n  14 -> 21 [size =\"15284224\"]\n  15 [size=\"93186048\", alpha=\"0.11\", expect_size=\"46593024\"] \n  15 -> 20 [size =\"46593024\"]\n  16 [size=\"92100608\", alpha=\"0.13\", expect_size=\"46050304\"] \n  16 -> 18 [size =\"46050304\"]\n  16 -> 19 [size =\"46050304\"]\n  16 -> 20 [size =\"46050304\"]\n  17 [size=\"22908928\", alpha=\"0.17\", expect_size=\"11454464\"] \n  17 -> 18 [size =\"11454464\"]\n  17 -> 19 [size =\"11454464\"]\n  18 [size=\"87810048\", alpha=\"0.19\", expect_size=\"43905024\"] \n  18 -> 22 [size =\"43905024\"]\n  18 -> 23 [size =\"43905024\"]\n  18 -> 24 [size =\"43905024\"]\n  19 [size=\"44046336\", alpha=\"0.18\", expect_size=\"22023168\"] \n  19 -> 22 [size =\"22023168\"]\n  19 -> 24 [size =\"22023168\"]\n  20 [size=\"74483712\", alpha=\"0.01\", expect_size=\"37241856\"] \n  20 -> 22 [size =\"37241856\"]\n  20 -> 23 [size =\"37241856\"]\n  20 -> 24 [size =\"37241856\"]\n  21 [size=\"101787648\", alpha=\"0.05\", expect_size=\"50893824\"] \n  21 -> 22 [size =\"50893824\"]\n  21 -> 23 [size =\"50893824\"]\n  22 [size=\"80850944\", alpha=\"0.10\", expect_size=\"40425472\"] \n  23 [size=\"33517568\", alpha=\"0.01\", expect_size=\"16758784\"] \n  23 -> 25 [size =\"16758784\"]\n  23 -> 26 [size =\"16758784\"]\n  24 [size=\"25624576\", alpha=\"0.08\", expect_size=\"12812288\"] \n  24 -> 27 [size =\"12812288\"]\n  25 [size=\"59406336\", alpha=\"0.05\", expect_size=\"29703168\"] \n  26 [size=\"19052544\", alpha=\"0.00\", expect_size=\"9526272\"] \n  26 -> 28 [size =\"9526272\"]\n  26 -> 29 [size =\"9526272\"]\n  26 -> 30 [size =\"9526272\"]\n  27 [size=\"78551040\", alpha=\"0.01\", expect_size=\"39275520\"] \n  27 -> 28 [size =\"39275520\"]\n  27 -> 30 [size =\"39275520\"]\n  28 [size=\"62261248\", alpha=\"0.13\", expect_size=\"31130624\"] \n  28 -> 32 [size =\"31130624\"]\n  29 [size=\"57202688\", alpha=\"0.07\", expect_size=\"28601344\"] \n  29 -> 31 [size =\"28601344\"]\n  29 -> 32 [size =\"28601344\"]\n  30 [size=\"46987264\", alpha=\"0.16\", expect_size=\"23493632\"] \n  30 -> 32 [size =\"23493632\"]\n  30 -> 33 [size =\"23493632\"]\n  31 [size=\"50429952\", alpha=\"0.03\", expect_size=\"25214976\"] \n  31 -> 34 [size =\"25214976\"]\n  31 -> 35 [size =\"25214976\"]\n  32 [size=\"73330688\", alpha=\"0.06\", expect_size=\"36665344\"] \n  32 -> 34 [size =\"36665344\"]\n  32 -> 35 [size =\"36665344\"]\n  33 [size=\"26335232\", alpha=\"0.15\", expect_size=\"13167616\"] \n  33 -> 34 [size =\"13167616\"]\n  33 -> 35 [size =\"13167616\"]\n  34 [size=\"28852224\", alpha=\"0.07\", expect_size=\"14426112\"] \n  34 -> 36 [size =\"14426112\"]\n  34 -> 37 [size =\"14426112\"]\n  34 -> 38 [size =\"14426112\"]\n  34 -> 39 [size =\"14426112\"]\n  35 [size=\"67506176\", alpha=\"0.18\", expect_size=\"33753088\"] \n  35 -> 36 [size =\"33753088\"]\n  35 -> 37 [size =\"33753088\"]\n  35 -> 38 [size =\"33753088\"]\n  35 -> 39 [size =\"33753088\"]\n  36 [size=\"88819712\", alpha=\"0.05\", expect_size=\"44409856\"] \n  36 -> 40 [size =\"44409856\"]\n  37 [size=\"89935872\", alpha=\"0.16\", expect_size=\"44967936\"] \n  37 -> 40 [size =\"44967936\"]\n  38 [size=\"95625216\", alpha=\"0.02\", expect_size=\"47812608\"] \n  39 [size=\"62326784\", alpha=\"0.16\", expect_size=\"31163392\"] \n  39 -> 40 [size =\"31163392\"]\n  40 [size=\"93927424\", alpha=\"0.03\", expect_size=\"46963712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98701312\", alpha=\"0.12\", expect_size=\"49350656\"] \n  1 -> 2 [size =\"49350656\"]\n  1 -> 3 [size =\"49350656\"]\n  1 -> 4 [size =\"49350656\"]\n  2 [size=\"45213696\", alpha=\"0.13\", expect_size=\"22606848\"] \n  2 -> 5 [size =\"22606848\"]\n  3 [size=\"39806976\", alpha=\"0.11\", expect_size=\"19903488\"] \n  3 -> 6 [size =\"19903488\"]\n  4 [size=\"40331264\", alpha=\"0.02\", expect_size=\"20165632\"] \n  5 [size=\"28608512\", alpha=\"0.14\", expect_size=\"14304256\"] \n  5 -> 9 [size =\"14304256\"]\n  6 [size=\"65970176\", alpha=\"0.10\", expect_size=\"32985088\"] \n  6 -> 7 [size =\"32985088\"]\n  6 -> 8 [size =\"32985088\"]\n  7 [size=\"86257664\", alpha=\"0.08\", expect_size=\"43128832\"] \n  7 -> 11 [size =\"43128832\"]\n  7 -> 12 [size =\"43128832\"]\n  8 [size=\"102318080\", alpha=\"0.14\", expect_size=\"51159040\"] \n  9 [size=\"102866944\", alpha=\"0.16\", expect_size=\"51433472\"] \n  9 -> 10 [size =\"51433472\"]\n  9 -> 11 [size =\"51433472\"]\n  10 [size=\"13955072\", alpha=\"0.03\", expect_size=\"6977536\"] \n  11 [size=\"57851904\", alpha=\"0.03\", expect_size=\"28925952\"] \n  11 -> 14 [size =\"28925952\"]\n  12 [size=\"20680704\", alpha=\"0.10\", expect_size=\"10340352\"] \n  12 -> 13 [size =\"10340352\"]\n  12 -> 14 [size =\"10340352\"]\n  13 [size=\"83744768\", alpha=\"0.07\", expect_size=\"41872384\"] \n  13 -> 15 [size =\"41872384\"]\n  14 [size=\"43352064\", alpha=\"0.05\", expect_size=\"21676032\"] \n  15 [size=\"53043200\", alpha=\"0.04\", expect_size=\"26521600\"] \n  15 -> 16 [size =\"26521600\"]\n  15 -> 17 [size =\"26521600\"]\n  15 -> 18 [size =\"26521600\"]\n  15 -> 19 [size =\"26521600\"]\n  16 [size=\"25131008\", alpha=\"0.19\", expect_size=\"12565504\"] \n  17 [size=\"71346176\", alpha=\"0.16\", expect_size=\"35673088\"] \n  18 [size=\"17006592\", alpha=\"0.03\", expect_size=\"8503296\"] \n  18 -> 20 [size =\"8503296\"]\n  19 [size=\"85379072\", alpha=\"0.10\", expect_size=\"42689536\"] \n  19 -> 21 [size =\"42689536\"]\n  20 [size=\"65474560\", alpha=\"0.17\", expect_size=\"32737280\"] \n  20 -> 22 [size =\"32737280\"]\n  20 -> 23 [size =\"32737280\"]\n  21 [size=\"78161920\", alpha=\"0.02\", expect_size=\"39080960\"] \n  22 [size=\"94259200\", alpha=\"0.15\", expect_size=\"47129600\"] \n  22 -> 25 [size =\"47129600\"]\n  23 [size=\"45664256\", alpha=\"0.14\", expect_size=\"22832128\"] \n  23 -> 24 [size =\"22832128\"]\n  24 [size=\"81025024\", alpha=\"0.19\", expect_size=\"40512512\"] \n  24 -> 26 [size =\"40512512\"]\n  25 [size=\"11374592\", alpha=\"0.08\", expect_size=\"5687296\"] \n  26 [size=\"30965760\", alpha=\"0.09\", expect_size=\"15482880\"] \n  26 -> 27 [size =\"15482880\"]\n  26 -> 28 [size =\"15482880\"]\n  26 -> 29 [size =\"15482880\"]\n  26 -> 30 [size =\"15482880\"]\n  27 [size=\"24356864\", alpha=\"0.06\", expect_size=\"12178432\"] \n  27 -> 31 [size =\"12178432\"]\n  28 [size=\"99270656\", alpha=\"0.02\", expect_size=\"49635328\"] \n  29 [size=\"19079168\", alpha=\"0.18\", expect_size=\"9539584\"] \n  30 [size=\"66744320\", alpha=\"0.15\", expect_size=\"33372160\"] \n  30 -> 31 [size =\"33372160\"]\n  31 [size=\"51300352\", alpha=\"0.01\", expect_size=\"25650176\"] \n  31 -> 32 [size =\"25650176\"]\n  32 [size=\"60968960\", alpha=\"0.10\", expect_size=\"30484480\"] \n  32 -> 33 [size =\"30484480\"]\n  32 -> 34 [size =\"30484480\"]\n  32 -> 35 [size =\"30484480\"]\n  32 -> 36 [size =\"30484480\"]\n  33 [size=\"36102144\", alpha=\"0.14\", expect_size=\"18051072\"] \n  33 -> 38 [size =\"18051072\"]\n  34 [size=\"100399104\", alpha=\"0.06\", expect_size=\"50199552\"] \n  35 [size=\"94961664\", alpha=\"0.06\", expect_size=\"47480832\"] \n  35 -> 37 [size =\"47480832\"]\n  36 [size=\"37910528\", alpha=\"0.10\", expect_size=\"18955264\"] \n  36 -> 37 [size =\"18955264\"]\n  36 -> 38 [size =\"18955264\"]\n  37 [size=\"79110144\", alpha=\"0.06\", expect_size=\"39555072\"] \n  37 -> 40 [size =\"39555072\"]\n  38 [size=\"11212800\", alpha=\"0.04\", expect_size=\"5606400\"] \n  38 -> 39 [size =\"5606400\"]\n  39 [size=\"20426752\", alpha=\"0.17\", expect_size=\"10213376\"] \n  40 [size=\"104761344\", alpha=\"0.03\", expect_size=\"52380672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97679360\", alpha=\"0.03\", expect_size=\"29303808\"] \n  1 -> 29 [size =\"29303808\"]\n  1 -> 31 [size =\"29303808\"]\n  1 -> 34 [size =\"29303808\"]\n  1 -> 35 [size =\"29303808\"]\n  1 -> 36 [size =\"29303808\"]\n  1 -> 36 [size =\"29303808\"]\n  1 -> 39 [size =\"29303808\"]\n  1 -> 40 [size =\"29303808\"]\n  2 [size=\"122395307\", alpha=\"0.11\", expect_size=\"36718592\"] \n  2 -> 29 [size =\"36718592\"]\n  2 -> 34 [size =\"36718592\"]\n  2 -> 40 [size =\"36718592\"]\n  3 [size=\"142308693\", alpha=\"0.17\", expect_size=\"42692608\"] \n  3 -> 29 [size =\"42692608\"]\n  3 -> 34 [size =\"42692608\"]\n  3 -> 35 [size =\"42692608\"]\n  3 -> 40 [size =\"42692608\"]\n  4 [size=\"150319787\", alpha=\"0.14\", expect_size=\"45095936\"] \n  4 -> 29 [size =\"45095936\"]\n  4 -> 34 [size =\"45095936\"]\n  4 -> 36 [size =\"45095936\"]\n  4 -> 37 [size =\"45095936\"]\n  4 -> 39 [size =\"45095936\"]\n  4 -> 40 [size =\"45095936\"]\n  5 [size=\"26760533\", alpha=\"0.05\", expect_size=\"8028160\"] \n  5 -> 28 [size =\"8028160\"]\n  5 -> 34 [size =\"8028160\"]\n  5 -> 35 [size =\"8028160\"]\n  5 -> 36 [size =\"8028160\"]\n  5 -> 37 [size =\"8028160\"]\n  5 -> 39 [size =\"8028160\"]\n  5 -> 40 [size =\"8028160\"]\n  6 [size=\"19862187\", alpha=\"0.18\", expect_size=\"5958656\"] \n  6 -> 30 [size =\"5958656\"]\n  6 -> 31 [size =\"5958656\"]\n  6 -> 32 [size =\"5958656\"]\n  6 -> 36 [size =\"5958656\"]\n  6 -> 37 [size =\"5958656\"]\n  6 -> 38 [size =\"5958656\"]\n  6 -> 39 [size =\"5958656\"]\n  7 [size=\"60975787\", alpha=\"0.05\", expect_size=\"18292736\"] \n  7 -> 26 [size =\"18292736\"]\n  7 -> 27 [size =\"18292736\"]\n  7 -> 32 [size =\"18292736\"]\n  7 -> 33 [size =\"18292736\"]\n  7 -> 39 [size =\"18292736\"]\n  8 [size=\"165522773\", alpha=\"0.18\", expect_size=\"49656832\"] \n  8 -> 26 [size =\"49656832\"]\n  8 -> 28 [size =\"49656832\"]\n  8 -> 29 [size =\"49656832\"]\n  8 -> 32 [size =\"49656832\"]\n  8 -> 35 [size =\"49656832\"]\n  8 -> 37 [size =\"49656832\"]\n  9 [size=\"21930667\", alpha=\"0.02\", expect_size=\"6579200\"] \n  9 -> 27 [size =\"6579200\"]\n  9 -> 28 [size =\"6579200\"]\n  9 -> 29 [size =\"6579200\"]\n  9 -> 32 [size =\"6579200\"]\n  9 -> 36 [size =\"6579200\"]\n  9 -> 37 [size =\"6579200\"]\n  10 [size=\"139267413\", alpha=\"0.08\", expect_size=\"41780224\"] \n  10 -> 26 [size =\"41780224\"]\n  10 -> 27 [size =\"41780224\"]\n  10 -> 28 [size =\"41780224\"]\n  10 -> 37 [size =\"41780224\"]\n  10 -> 40 [size =\"41780224\"]\n  11 [size=\"50589013\", alpha=\"0.16\", expect_size=\"15176704\"] \n  11 -> 28 [size =\"15176704\"]\n  11 -> 33 [size =\"15176704\"]\n  11 -> 34 [size =\"15176704\"]\n  11 -> 35 [size =\"15176704\"]\n  11 -> 37 [size =\"15176704\"]\n  11 -> 40 [size =\"15176704\"]\n  12 [size=\"76339200\", alpha=\"0.14\", expect_size=\"22901760\"] \n  12 -> 26 [size =\"22901760\"]\n  12 -> 28 [size =\"22901760\"]\n  12 -> 29 [size =\"22901760\"]\n  12 -> 32 [size =\"22901760\"]\n  12 -> 34 [size =\"22901760\"]\n  12 -> 35 [size =\"22901760\"]\n  12 -> 36 [size =\"22901760\"]\n  12 -> 37 [size =\"22901760\"]\n  12 -> 39 [size =\"22901760\"]\n  12 -> 40 [size =\"22901760\"]\n  13 [size=\"160740693\", alpha=\"0.07\", expect_size=\"48222208\"] \n  13 -> 27 [size =\"48222208\"]\n  13 -> 28 [size =\"48222208\"]\n  13 -> 29 [size =\"48222208\"]\n  13 -> 32 [size =\"48222208\"]\n  13 -> 36 [size =\"48222208\"]\n  13 -> 40 [size =\"48222208\"]\n  14 [size=\"134567253\", alpha=\"0.14\", expect_size=\"40370176\"] \n  14 -> 26 [size =\"40370176\"]\n  14 -> 28 [size =\"40370176\"]\n  14 -> 32 [size =\"40370176\"]\n  14 -> 35 [size =\"40370176\"]\n  14 -> 37 [size =\"40370176\"]\n  15 [size=\"85060267\", alpha=\"0.02\", expect_size=\"25518080\"] \n  15 -> 26 [size =\"25518080\"]\n  15 -> 27 [size =\"25518080\"]\n  15 -> 29 [size =\"25518080\"]\n  15 -> 32 [size =\"25518080\"]\n  15 -> 36 [size =\"25518080\"]\n  15 -> 40 [size =\"25518080\"]\n  16 [size=\"121064107\", alpha=\"0.09\", expect_size=\"36319232\"] \n  16 -> 29 [size =\"36319232\"]\n  16 -> 34 [size =\"36319232\"]\n  16 -> 35 [size =\"36319232\"]\n  16 -> 36 [size =\"36319232\"]\n  16 -> 40 [size =\"36319232\"]\n  17 [size=\"102823253\", alpha=\"0.19\", expect_size=\"30846976\"] \n  17 -> 26 [size =\"30846976\"]\n  17 -> 30 [size =\"30846976\"]\n  17 -> 31 [size =\"30846976\"]\n  17 -> 34 [size =\"30846976\"]\n  17 -> 39 [size =\"30846976\"]\n  18 [size=\"141967360\", alpha=\"0.15\", expect_size=\"42590208\"] \n  18 -> 26 [size =\"42590208\"]\n  18 -> 29 [size =\"42590208\"]\n  18 -> 30 [size =\"42590208\"]\n  18 -> 34 [size =\"42590208\"]\n  18 -> 37 [size =\"42590208\"]\n  18 -> 39 [size =\"42590208\"]\n  19 [size=\"123480747\", alpha=\"0.10\", expect_size=\"37044224\"] \n  19 -> 30 [size =\"37044224\"]\n  19 -> 32 [size =\"37044224\"]\n  19 -> 35 [size =\"37044224\"]\n  19 -> 40 [size =\"37044224\"]\n  20 [size=\"141250560\", alpha=\"0.09\", expect_size=\"42375168\"] \n  20 -> 26 [size =\"42375168\"]\n  20 -> 27 [size =\"42375168\"]\n  20 -> 29 [size =\"42375168\"]\n  20 -> 30 [size =\"42375168\"]\n  20 -> 32 [size =\"42375168\"]\n  20 -> 35 [size =\"42375168\"]\n  21 [size=\"46209707\", alpha=\"0.19\", expect_size=\"13862912\"] \n  21 -> 30 [size =\"13862912\"]\n  21 -> 32 [size =\"13862912\"]\n  21 -> 36 [size =\"13862912\"]\n  21 -> 37 [size =\"13862912\"]\n  21 -> 40 [size =\"13862912\"]\n  22 [size=\"18169173\", alpha=\"0.02\", expect_size=\"5450752\"] \n  22 -> 27 [size =\"5450752\"]\n  22 -> 29 [size =\"5450752\"]\n  22 -> 30 [size =\"5450752\"]\n  22 -> 32 [size =\"5450752\"]\n  22 -> 35 [size =\"5450752\"]\n  22 -> 36 [size =\"5450752\"]\n  23 [size=\"127638187\", alpha=\"0.01\", expect_size=\"38291456\"] \n  23 -> 29 [size =\"38291456\"]\n  23 -> 32 [size =\"38291456\"]\n  23 -> 36 [size =\"38291456\"]\n  23 -> 39 [size =\"38291456\"]\n  24 [size=\"28678827\", alpha=\"0.16\", expect_size=\"8603648\"] \n  24 -> 32 [size =\"8603648\"]\n  24 -> 33 [size =\"8603648\"]\n  24 -> 34 [size =\"8603648\"]\n  24 -> 36 [size =\"8603648\"]\n  24 -> 37 [size =\"8603648\"]\n  24 -> 40 [size =\"8603648\"]\n  25 [size=\"136755200\", alpha=\"0.13\", expect_size=\"41026560\"] \n  25 -> 29 [size =\"41026560\"]\n  25 -> 31 [size =\"41026560\"]\n  25 -> 32 [size =\"41026560\"]\n  25 -> 33 [size =\"41026560\"]\n  25 -> 34 [size =\"41026560\"]\n  25 -> 36 [size =\"41026560\"]\n  25 -> 38 [size =\"41026560\"]\n  25 -> 39 [size =\"41026560\"]\n  26 [size=\"152671573\", alpha=\"0.10\", expect_size=\"45801472\"] \n  27 [size=\"65276587\", alpha=\"0.13\", expect_size=\"19582976\"] \n  28 [size=\"56958293\", alpha=\"0.14\", expect_size=\"17087488\"] \n  29 [size=\"174684160\", alpha=\"0.17\", expect_size=\"52405248\"] \n  30 [size=\"94993067\", alpha=\"0.14\", expect_size=\"28497920\"] \n  31 [size=\"167720960\", alpha=\"0.16\", expect_size=\"50316288\"] \n  32 [size=\"158494720\", alpha=\"0.05\", expect_size=\"47548416\"] \n  33 [size=\"172240213\", alpha=\"0.13\", expect_size=\"51672064\"] \n  34 [size=\"19213653\", alpha=\"0.15\", expect_size=\"5764096\"] \n  35 [size=\"146841600\", alpha=\"0.06\", expect_size=\"44052480\"] \n  36 [size=\"92542293\", alpha=\"0.10\", expect_size=\"27762688\"] \n  37 [size=\"173277867\", alpha=\"0.05\", expect_size=\"51983360\"] \n  38 [size=\"117981867\", alpha=\"0.16\", expect_size=\"35394560\"] \n  39 [size=\"74700800\", alpha=\"0.00\", expect_size=\"22410240\"] \n  40 [size=\"47889067\", alpha=\"0.00\", expect_size=\"14366720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83614720\", alpha=\"0.19\", expect_size=\"33445888\"] \n  1 -> 3 [size =\"33445888\"]\n  1 -> 4 [size =\"33445888\"]\n  2 [size=\"117204480\", alpha=\"0.12\", expect_size=\"46881792\"] \n  3 [size=\"50375680\", alpha=\"0.19\", expect_size=\"20150272\"] \n  3 -> 6 [size =\"20150272\"]\n  3 -> 7 [size =\"20150272\"]\n  4 [size=\"81697280\", alpha=\"0.02\", expect_size=\"32678912\"] \n  4 -> 5 [size =\"32678912\"]\n  4 -> 6 [size =\"32678912\"]\n  4 -> 7 [size =\"32678912\"]\n  5 [size=\"81113600\", alpha=\"0.18\", expect_size=\"32445440\"] \n  5 -> 8 [size =\"32445440\"]\n  5 -> 10 [size =\"32445440\"]\n  6 [size=\"89625600\", alpha=\"0.14\", expect_size=\"35850240\"] \n  6 -> 8 [size =\"35850240\"]\n  6 -> 9 [size =\"35850240\"]\n  7 [size=\"71659520\", alpha=\"0.00\", expect_size=\"28663808\"] \n  7 -> 9 [size =\"28663808\"]\n  7 -> 10 [size =\"28663808\"]\n  8 [size=\"57059840\", alpha=\"0.16\", expect_size=\"22823936\"] \n  8 -> 13 [size =\"22823936\"]\n  9 [size=\"118492160\", alpha=\"0.03\", expect_size=\"47396864\"] \n  9 -> 11 [size =\"47396864\"]\n  10 [size=\"55170560\", alpha=\"0.02\", expect_size=\"22068224\"] \n  10 -> 12 [size =\"22068224\"]\n  11 [size=\"26734080\", alpha=\"0.11\", expect_size=\"10693632\"] \n  11 -> 14 [size =\"10693632\"]\n  12 [size=\"21232640\", alpha=\"0.00\", expect_size=\"8493056\"] \n  12 -> 14 [size =\"8493056\"]\n  12 -> 15 [size =\"8493056\"]\n  13 [size=\"93888000\", alpha=\"0.07\", expect_size=\"37555200\"] \n  14 [size=\"89996800\", alpha=\"0.04\", expect_size=\"35998720\"] \n  14 -> 17 [size =\"35998720\"]\n  15 [size=\"100006400\", alpha=\"0.00\", expect_size=\"40002560\"] \n  15 -> 16 [size =\"40002560\"]\n  15 -> 18 [size =\"40002560\"]\n  16 [size=\"86400000\", alpha=\"0.04\", expect_size=\"34560000\"] \n  16 -> 19 [size =\"34560000\"]\n  16 -> 20 [size =\"34560000\"]\n  16 -> 21 [size =\"34560000\"]\n  17 [size=\"51351040\", alpha=\"0.03\", expect_size=\"20540416\"] \n  18 [size=\"52997120\", alpha=\"0.15\", expect_size=\"21198848\"] \n  18 -> 20 [size =\"21198848\"]\n  19 [size=\"30080000\", alpha=\"0.13\", expect_size=\"12032000\"] \n  19 -> 22 [size =\"12032000\"]\n  20 [size=\"48271360\", alpha=\"0.13\", expect_size=\"19308544\"] \n  20 -> 23 [size =\"19308544\"]\n  20 -> 24 [size =\"19308544\"]\n  21 [size=\"60759040\", alpha=\"0.04\", expect_size=\"24303616\"] \n  21 -> 22 [size =\"24303616\"]\n  21 -> 23 [size =\"24303616\"]\n  22 [size=\"127144960\", alpha=\"0.14\", expect_size=\"50857984\"] \n  22 -> 25 [size =\"50857984\"]\n  22 -> 26 [size =\"50857984\"]\n  23 [size=\"127505920\", alpha=\"0.09\", expect_size=\"51002368\"] \n  24 [size=\"49372160\", alpha=\"0.17\", expect_size=\"19748864\"] \n  24 -> 25 [size =\"19748864\"]\n  24 -> 26 [size =\"19748864\"]\n  24 -> 27 [size =\"19748864\"]\n  25 [size=\"70661120\", alpha=\"0.15\", expect_size=\"28264448\"] \n  26 [size=\"73454080\", alpha=\"0.07\", expect_size=\"29381632\"] \n  26 -> 29 [size =\"29381632\"]\n  27 [size=\"95221760\", alpha=\"0.09\", expect_size=\"38088704\"] \n  27 -> 28 [size =\"38088704\"]\n  27 -> 29 [size =\"38088704\"]\n  28 [size=\"110136320\", alpha=\"0.18\", expect_size=\"44054528\"] \n  28 -> 31 [size =\"44054528\"]\n  29 [size=\"78666240\", alpha=\"0.05\", expect_size=\"31466496\"] \n  29 -> 30 [size =\"31466496\"]\n  30 [size=\"36206080\", alpha=\"0.19\", expect_size=\"14482432\"] \n  30 -> 32 [size =\"14482432\"]\n  31 [size=\"110146560\", alpha=\"0.16\", expect_size=\"44058624\"] \n  31 -> 32 [size =\"44058624\"]\n  31 -> 33 [size =\"44058624\"]\n  32 [size=\"17108480\", alpha=\"0.14\", expect_size=\"6843392\"] \n  32 -> 34 [size =\"6843392\"]\n  33 [size=\"97113600\", alpha=\"0.05\", expect_size=\"38845440\"] \n  33 -> 34 [size =\"38845440\"]\n  33 -> 35 [size =\"38845440\"]\n  34 [size=\"33541120\", alpha=\"0.10\", expect_size=\"13416448\"] \n  34 -> 36 [size =\"13416448\"]\n  34 -> 37 [size =\"13416448\"]\n  34 -> 38 [size =\"13416448\"]\n  35 [size=\"130913280\", alpha=\"0.09\", expect_size=\"52365312\"] \n  35 -> 36 [size =\"52365312\"]\n  35 -> 37 [size =\"52365312\"]\n  36 [size=\"103342080\", alpha=\"0.01\", expect_size=\"41336832\"] \n  36 -> 39 [size =\"41336832\"]\n  36 -> 40 [size =\"41336832\"]\n  37 [size=\"27345920\", alpha=\"0.19\", expect_size=\"10938368\"] \n  38 [size=\"79447040\", alpha=\"0.04\", expect_size=\"31778816\"] \n  39 [size=\"67663360\", alpha=\"0.12\", expect_size=\"27065344\"] \n  40 [size=\"97387520\", alpha=\"0.06\", expect_size=\"38955008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71782400\", alpha=\"0.03\", expect_size=\"21534720\"] \n  1 -> 4 [size =\"21534720\"]\n  1 -> 8 [size =\"21534720\"]\n  1 -> 10 [size =\"21534720\"]\n  2 [size=\"115042987\", alpha=\"0.01\", expect_size=\"34512896\"] \n  2 -> 5 [size =\"34512896\"]\n  2 -> 9 [size =\"34512896\"]\n  3 [size=\"148821333\", alpha=\"0.11\", expect_size=\"44646400\"] \n  3 -> 5 [size =\"44646400\"]\n  3 -> 6 [size =\"44646400\"]\n  3 -> 7 [size =\"44646400\"]\n  3 -> 8 [size =\"44646400\"]\n  4 [size=\"132594347\", alpha=\"0.09\", expect_size=\"39778304\"] \n  4 -> 13 [size =\"39778304\"]\n  5 [size=\"35437227\", alpha=\"0.04\", expect_size=\"10631168\"] \n  5 -> 11 [size =\"10631168\"]\n  5 -> 13 [size =\"10631168\"]\n  5 -> 15 [size =\"10631168\"]\n  6 [size=\"59060907\", alpha=\"0.19\", expect_size=\"17718272\"] \n  6 -> 12 [size =\"17718272\"]\n  6 -> 13 [size =\"17718272\"]\n  6 -> 15 [size =\"17718272\"]\n  7 [size=\"118261760\", alpha=\"0.08\", expect_size=\"35478528\"] \n  7 -> 11 [size =\"35478528\"]\n  7 -> 12 [size =\"35478528\"]\n  7 -> 13 [size =\"35478528\"]\n  7 -> 15 [size =\"35478528\"]\n  8 [size=\"50087253\", alpha=\"0.04\", expect_size=\"15026176\"] \n  8 -> 12 [size =\"15026176\"]\n  8 -> 14 [size =\"15026176\"]\n  8 -> 15 [size =\"15026176\"]\n  8 -> 15 [size =\"15026176\"]\n  8 -> 16 [size =\"15026176\"]\n  9 [size=\"147107840\", alpha=\"0.04\", expect_size=\"44132352\"] \n  9 -> 13 [size =\"44132352\"]\n  10 [size=\"85889707\", alpha=\"0.17\", expect_size=\"25766912\"] \n  10 -> 12 [size =\"25766912\"]\n  10 -> 16 [size =\"25766912\"]\n  11 [size=\"71301120\", alpha=\"0.14\", expect_size=\"21390336\"] \n  11 -> 17 [size =\"21390336\"]\n  12 [size=\"98293760\", alpha=\"0.20\", expect_size=\"29488128\"] \n  12 -> 19 [size =\"29488128\"]\n  13 [size=\"105567573\", alpha=\"0.02\", expect_size=\"31670272\"] \n  13 -> 17 [size =\"31670272\"]\n  13 -> 18 [size =\"31670272\"]\n  14 [size=\"34573653\", alpha=\"0.06\", expect_size=\"10372096\"] \n  14 -> 17 [size =\"10372096\"]\n  15 [size=\"101778773\", alpha=\"0.19\", expect_size=\"30533632\"] \n  15 -> 17 [size =\"30533632\"]\n  16 [size=\"131778560\", alpha=\"0.06\", expect_size=\"39533568\"] \n  16 -> 18 [size =\"39533568\"]\n  17 [size=\"124938240\", alpha=\"0.02\", expect_size=\"37481472\"] \n  17 -> 21 [size =\"37481472\"]\n  17 -> 22 [size =\"37481472\"]\n  18 [size=\"32512000\", alpha=\"0.18\", expect_size=\"9753600\"] \n  18 -> 21 [size =\"9753600\"]\n  19 [size=\"60293120\", alpha=\"0.16\", expect_size=\"18087936\"] \n  19 -> 20 [size =\"18087936\"]\n  20 [size=\"93416107\", alpha=\"0.15\", expect_size=\"28024832\"] \n  20 -> 23 [size =\"28024832\"]\n  20 -> 27 [size =\"28024832\"]\n  20 -> 28 [size =\"28024832\"]\n  21 [size=\"68208640\", alpha=\"0.01\", expect_size=\"20462592\"] \n  21 -> 24 [size =\"20462592\"]\n  21 -> 25 [size =\"20462592\"]\n  22 [size=\"20251307\", alpha=\"0.20\", expect_size=\"6075392\"] \n  22 -> 23 [size =\"6075392\"]\n  22 -> 24 [size =\"6075392\"]\n  22 -> 26 [size =\"6075392\"]\n  22 -> 27 [size =\"6075392\"]\n  22 -> 28 [size =\"6075392\"]\n  23 [size=\"18216960\", alpha=\"0.15\", expect_size=\"5465088\"] \n  24 [size=\"31238827\", alpha=\"0.05\", expect_size=\"9371648\"] \n  25 [size=\"77574827\", alpha=\"0.18\", expect_size=\"23272448\"] \n  25 -> 30 [size =\"23272448\"]\n  25 -> 31 [size =\"23272448\"]\n  26 [size=\"70290773\", alpha=\"0.15\", expect_size=\"21087232\"] \n  26 -> 29 [size =\"21087232\"]\n  26 -> 31 [size =\"21087232\"]\n  27 [size=\"117469867\", alpha=\"0.06\", expect_size=\"35240960\"] \n  27 -> 29 [size =\"35240960\"]\n  28 [size=\"133795840\", alpha=\"0.00\", expect_size=\"40138752\"] \n  28 -> 31 [size =\"40138752\"]\n  29 [size=\"119302827\", alpha=\"0.11\", expect_size=\"35790848\"] \n  29 -> 32 [size =\"35790848\"]\n  29 -> 33 [size =\"35790848\"]\n  29 -> 35 [size =\"35790848\"]\n  29 -> 36 [size =\"35790848\"]\n  29 -> 37 [size =\"35790848\"]\n  30 [size=\"84524373\", alpha=\"0.11\", expect_size=\"25357312\"] \n  30 -> 32 [size =\"25357312\"]\n  30 -> 37 [size =\"25357312\"]\n  31 [size=\"44752213\", alpha=\"0.17\", expect_size=\"13425664\"] \n  31 -> 34 [size =\"13425664\"]\n  31 -> 36 [size =\"13425664\"]\n  32 [size=\"54302720\", alpha=\"0.14\", expect_size=\"16290816\"] \n  32 -> 39 [size =\"16290816\"]\n  33 [size=\"53452800\", alpha=\"0.02\", expect_size=\"16035840\"] \n  33 -> 39 [size =\"16035840\"]\n  34 [size=\"173554347\", alpha=\"0.13\", expect_size=\"52066304\"] \n  34 -> 38 [size =\"52066304\"]\n  34 -> 39 [size =\"52066304\"]\n  35 [size=\"57859413\", alpha=\"0.14\", expect_size=\"17357824\"] \n  35 -> 38 [size =\"17357824\"]\n  35 -> 40 [size =\"17357824\"]\n  36 [size=\"38905173\", alpha=\"0.09\", expect_size=\"11671552\"] \n  37 [size=\"158279680\", alpha=\"0.18\", expect_size=\"47483904\"] \n  38 [size=\"44909227\", alpha=\"0.09\", expect_size=\"13472768\"] \n  39 [size=\"45974187\", alpha=\"0.06\", expect_size=\"13792256\"] \n  40 [size=\"133826560\", alpha=\"0.12\", expect_size=\"40147968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38348800\", alpha=\"0.00\", expect_size=\"15339520\"] \n  1 -> 8 [size =\"15339520\"]\n  1 -> 10 [size =\"15339520\"]\n  1 -> 13 [size =\"15339520\"]\n  2 [size=\"115517440\", alpha=\"0.08\", expect_size=\"46206976\"] \n  2 -> 8 [size =\"46206976\"]\n  2 -> 13 [size =\"46206976\"]\n  3 [size=\"117893120\", alpha=\"0.15\", expect_size=\"47157248\"] \n  3 -> 9 [size =\"47157248\"]\n  3 -> 11 [size =\"47157248\"]\n  3 -> 13 [size =\"47157248\"]\n  4 [size=\"66237440\", alpha=\"0.12\", expect_size=\"26494976\"] \n  4 -> 9 [size =\"26494976\"]\n  4 -> 10 [size =\"26494976\"]\n  4 -> 11 [size =\"26494976\"]\n  4 -> 13 [size =\"26494976\"]\n  5 [size=\"75084800\", alpha=\"0.04\", expect_size=\"30033920\"] \n  5 -> 9 [size =\"30033920\"]\n  6 [size=\"19338240\", alpha=\"0.14\", expect_size=\"7735296\"] \n  6 -> 8 [size =\"7735296\"]\n  6 -> 12 [size =\"7735296\"]\n  7 [size=\"47403520\", alpha=\"0.00\", expect_size=\"18961408\"] \n  7 -> 8 [size =\"18961408\"]\n  8 [size=\"68794880\", alpha=\"0.18\", expect_size=\"27517952\"] \n  9 [size=\"35013120\", alpha=\"0.13\", expect_size=\"14005248\"] \n  9 -> 16 [size =\"14005248\"]\n  9 -> 20 [size =\"14005248\"]\n  10 [size=\"117967360\", alpha=\"0.04\", expect_size=\"47186944\"] \n  10 -> 18 [size =\"47186944\"]\n  10 -> 19 [size =\"47186944\"]\n  11 [size=\"37096960\", alpha=\"0.14\", expect_size=\"14838784\"] \n  11 -> 14 [size =\"14838784\"]\n  11 -> 17 [size =\"14838784\"]\n  11 -> 18 [size =\"14838784\"]\n  11 -> 19 [size =\"14838784\"]\n  12 [size=\"38131200\", alpha=\"0.04\", expect_size=\"15252480\"] \n  12 -> 19 [size =\"15252480\"]\n  13 [size=\"87191040\", alpha=\"0.04\", expect_size=\"34876416\"] \n  13 -> 14 [size =\"34876416\"]\n  13 -> 15 [size =\"34876416\"]\n  13 -> 16 [size =\"34876416\"]\n  14 [size=\"57200640\", alpha=\"0.05\", expect_size=\"22880256\"] \n  14 -> 21 [size =\"22880256\"]\n  14 -> 25 [size =\"22880256\"]\n  15 [size=\"128931840\", alpha=\"0.07\", expect_size=\"51572736\"] \n  15 -> 24 [size =\"51572736\"]\n  15 -> 27 [size =\"51572736\"]\n  16 [size=\"35773440\", alpha=\"0.05\", expect_size=\"14309376\"] \n  16 -> 22 [size =\"14309376\"]\n  16 -> 24 [size =\"14309376\"]\n  17 [size=\"119367680\", alpha=\"0.12\", expect_size=\"47747072\"] \n  17 -> 21 [size =\"47747072\"]\n  17 -> 23 [size =\"47747072\"]\n  17 -> 26 [size =\"47747072\"]\n  18 [size=\"120993280\", alpha=\"0.12\", expect_size=\"48397312\"] \n  18 -> 21 [size =\"48397312\"]\n  19 [size=\"111272960\", alpha=\"0.05\", expect_size=\"44509184\"] \n  19 -> 21 [size =\"44509184\"]\n  19 -> 24 [size =\"44509184\"]\n  20 [size=\"68241920\", alpha=\"0.05\", expect_size=\"27296768\"] \n  21 [size=\"89735680\", alpha=\"0.09\", expect_size=\"35894272\"] \n  21 -> 30 [size =\"35894272\"]\n  21 -> 32 [size =\"35894272\"]\n  22 [size=\"53634560\", alpha=\"0.11\", expect_size=\"21453824\"] \n  22 -> 29 [size =\"21453824\"]\n  22 -> 32 [size =\"21453824\"]\n  23 [size=\"75072000\", alpha=\"0.10\", expect_size=\"30028800\"] \n  23 -> 28 [size =\"30028800\"]\n  23 -> 29 [size =\"30028800\"]\n  23 -> 31 [size =\"30028800\"]\n  24 [size=\"98908160\", alpha=\"0.19\", expect_size=\"39563264\"] \n  25 [size=\"130572800\", alpha=\"0.18\", expect_size=\"52229120\"] \n  25 -> 28 [size =\"52229120\"]\n  25 -> 29 [size =\"52229120\"]\n  25 -> 32 [size =\"52229120\"]\n  26 [size=\"51264000\", alpha=\"0.18\", expect_size=\"20505600\"] \n  26 -> 28 [size =\"20505600\"]\n  27 [size=\"80235520\", alpha=\"0.04\", expect_size=\"32094208\"] \n  27 -> 29 [size =\"32094208\"]\n  27 -> 30 [size =\"32094208\"]\n  27 -> 31 [size =\"32094208\"]\n  27 -> 32 [size =\"32094208\"]\n  28 [size=\"33505280\", alpha=\"0.19\", expect_size=\"13402112\"] \n  28 -> 36 [size =\"13402112\"]\n  29 [size=\"106984960\", alpha=\"0.18\", expect_size=\"42793984\"] \n  29 -> 33 [size =\"42793984\"]\n  29 -> 38 [size =\"42793984\"]\n  30 [size=\"15984640\", alpha=\"0.15\", expect_size=\"6393856\"] \n  30 -> 34 [size =\"6393856\"]\n  30 -> 35 [size =\"6393856\"]\n  30 -> 36 [size =\"6393856\"]\n  30 -> 37 [size =\"6393856\"]\n  31 [size=\"43338240\", alpha=\"0.16\", expect_size=\"17335296\"] \n  32 [size=\"96317440\", alpha=\"0.01\", expect_size=\"38526976\"] \n  32 -> 35 [size =\"38526976\"]\n  32 -> 37 [size =\"38526976\"]\n  33 [size=\"41405440\", alpha=\"0.18\", expect_size=\"16562176\"] \n  33 -> 39 [size =\"16562176\"]\n  34 [size=\"101355520\", alpha=\"0.03\", expect_size=\"40542208\"] \n  34 -> 39 [size =\"40542208\"]\n  34 -> 40 [size =\"40542208\"]\n  35 [size=\"93368320\", alpha=\"0.08\", expect_size=\"37347328\"] \n  35 -> 40 [size =\"37347328\"]\n  36 [size=\"79421440\", alpha=\"0.17\", expect_size=\"31768576\"] \n  36 -> 40 [size =\"31768576\"]\n  37 [size=\"65745920\", alpha=\"0.03\", expect_size=\"26298368\"] \n  37 -> 39 [size =\"26298368\"]\n  38 [size=\"86640640\", alpha=\"0.08\", expect_size=\"34656256\"] \n  39 [size=\"79825920\", alpha=\"0.10\", expect_size=\"31930368\"] \n  40 [size=\"67212800\", alpha=\"0.01\", expect_size=\"26885120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108446720\", alpha=\"0.04\", expect_size=\"43378688\"] \n  1 -> 9 [size =\"43378688\"]\n  1 -> 12 [size =\"43378688\"]\n  1 -> 13 [size =\"43378688\"]\n  2 [size=\"59384320\", alpha=\"0.15\", expect_size=\"23753728\"] \n  2 -> 8 [size =\"23753728\"]\n  2 -> 9 [size =\"23753728\"]\n  2 -> 10 [size =\"23753728\"]\n  2 -> 11 [size =\"23753728\"]\n  3 [size=\"71889920\", alpha=\"0.13\", expect_size=\"28755968\"] \n  3 -> 8 [size =\"28755968\"]\n  3 -> 9 [size =\"28755968\"]\n  3 -> 10 [size =\"28755968\"]\n  3 -> 12 [size =\"28755968\"]\n  4 [size=\"51046400\", alpha=\"0.00\", expect_size=\"20418560\"] \n  4 -> 8 [size =\"20418560\"]\n  4 -> 9 [size =\"20418560\"]\n  4 -> 10 [size =\"20418560\"]\n  4 -> 11 [size =\"20418560\"]\n  4 -> 12 [size =\"20418560\"]\n  5 [size=\"55449600\", alpha=\"0.17\", expect_size=\"22179840\"] \n  5 -> 10 [size =\"22179840\"]\n  5 -> 13 [size =\"22179840\"]\n  5 -> 14 [size =\"22179840\"]\n  6 [size=\"68618240\", alpha=\"0.04\", expect_size=\"27447296\"] \n  6 -> 9 [size =\"27447296\"]\n  7 [size=\"103247360\", alpha=\"0.08\", expect_size=\"41298944\"] \n  7 -> 8 [size =\"41298944\"]\n  7 -> 9 [size =\"41298944\"]\n  7 -> 12 [size =\"41298944\"]\n  7 -> 14 [size =\"41298944\"]\n  8 [size=\"92738560\", alpha=\"0.03\", expect_size=\"37095424\"] \n  8 -> 15 [size =\"37095424\"]\n  8 -> 17 [size =\"37095424\"]\n  8 -> 18 [size =\"37095424\"]\n  9 [size=\"84958720\", alpha=\"0.10\", expect_size=\"33983488\"] \n  9 -> 15 [size =\"33983488\"]\n  9 -> 17 [size =\"33983488\"]\n  9 -> 18 [size =\"33983488\"]\n  10 [size=\"125975040\", alpha=\"0.10\", expect_size=\"50390016\"] \n  10 -> 15 [size =\"50390016\"]\n  10 -> 16 [size =\"50390016\"]\n  10 -> 18 [size =\"50390016\"]\n  10 -> 19 [size =\"50390016\"]\n  11 [size=\"130872320\", alpha=\"0.12\", expect_size=\"52348928\"] \n  11 -> 15 [size =\"52348928\"]\n  11 -> 18 [size =\"52348928\"]\n  11 -> 19 [size =\"52348928\"]\n  12 [size=\"34611200\", alpha=\"0.08\", expect_size=\"13844480\"] \n  12 -> 15 [size =\"13844480\"]\n  12 -> 18 [size =\"13844480\"]\n  12 -> 19 [size =\"13844480\"]\n  13 [size=\"120168960\", alpha=\"0.09\", expect_size=\"48067584\"] \n  13 -> 15 [size =\"48067584\"]\n  13 -> 18 [size =\"48067584\"]\n  14 [size=\"81589760\", alpha=\"0.11\", expect_size=\"32635904\"] \n  14 -> 15 [size =\"32635904\"]\n  14 -> 17 [size =\"32635904\"]\n  15 [size=\"82027520\", alpha=\"0.15\", expect_size=\"32811008\"] \n  15 -> 20 [size =\"32811008\"]\n  15 -> 21 [size =\"32811008\"]\n  16 [size=\"61903360\", alpha=\"0.08\", expect_size=\"24761344\"] \n  16 -> 20 [size =\"24761344\"]\n  16 -> 21 [size =\"24761344\"]\n  16 -> 22 [size =\"24761344\"]\n  16 -> 23 [size =\"24761344\"]\n  16 -> 24 [size =\"24761344\"]\n  17 [size=\"83156480\", alpha=\"0.04\", expect_size=\"33262592\"] \n  17 -> 21 [size =\"33262592\"]\n  17 -> 22 [size =\"33262592\"]\n  17 -> 24 [size =\"33262592\"]\n  18 [size=\"14609920\", alpha=\"0.17\", expect_size=\"5843968\"] \n  18 -> 20 [size =\"5843968\"]\n  18 -> 21 [size =\"5843968\"]\n  18 -> 23 [size =\"5843968\"]\n  18 -> 24 [size =\"5843968\"]\n  19 [size=\"34181120\", alpha=\"0.09\", expect_size=\"13672448\"] \n  19 -> 20 [size =\"13672448\"]\n  19 -> 21 [size =\"13672448\"]\n  19 -> 24 [size =\"13672448\"]\n  20 [size=\"92116480\", alpha=\"0.15\", expect_size=\"36846592\"] \n  20 -> 25 [size =\"36846592\"]\n  20 -> 26 [size =\"36846592\"]\n  20 -> 27 [size =\"36846592\"]\n  20 -> 28 [size =\"36846592\"]\n  20 -> 30 [size =\"36846592\"]\n  21 [size=\"31065600\", alpha=\"0.18\", expect_size=\"12426240\"] \n  21 -> 25 [size =\"12426240\"]\n  21 -> 26 [size =\"12426240\"]\n  21 -> 27 [size =\"12426240\"]\n  21 -> 28 [size =\"12426240\"]\n  22 [size=\"102827520\", alpha=\"0.09\", expect_size=\"41131008\"] \n  22 -> 25 [size =\"41131008\"]\n  22 -> 27 [size =\"41131008\"]\n  22 -> 28 [size =\"41131008\"]\n  22 -> 28 [size =\"41131008\"]\n  22 -> 29 [size =\"41131008\"]\n  23 [size=\"34831360\", alpha=\"0.10\", expect_size=\"13932544\"] \n  23 -> 25 [size =\"13932544\"]\n  23 -> 26 [size =\"13932544\"]\n  23 -> 27 [size =\"13932544\"]\n  23 -> 28 [size =\"13932544\"]\n  23 -> 29 [size =\"13932544\"]\n  24 [size=\"85736960\", alpha=\"0.17\", expect_size=\"34294784\"] \n  24 -> 25 [size =\"34294784\"]\n  24 -> 26 [size =\"34294784\"]\n  24 -> 27 [size =\"34294784\"]\n  24 -> 29 [size =\"34294784\"]\n  25 [size=\"30494720\", alpha=\"0.12\", expect_size=\"12197888\"] \n  25 -> 31 [size =\"12197888\"]\n  25 -> 33 [size =\"12197888\"]\n  25 -> 34 [size =\"12197888\"]\n  25 -> 36 [size =\"12197888\"]\n  25 -> 37 [size =\"12197888\"]\n  26 [size=\"118023680\", alpha=\"0.16\", expect_size=\"47209472\"] \n  26 -> 34 [size =\"47209472\"]\n  26 -> 36 [size =\"47209472\"]\n  27 [size=\"48407040\", alpha=\"0.15\", expect_size=\"19362816\"] \n  27 -> 31 [size =\"19362816\"]\n  27 -> 34 [size =\"19362816\"]\n  27 -> 35 [size =\"19362816\"]\n  27 -> 36 [size =\"19362816\"]\n  27 -> 37 [size =\"19362816\"]\n  28 [size=\"71649280\", alpha=\"0.07\", expect_size=\"28659712\"] \n  28 -> 31 [size =\"28659712\"]\n  28 -> 32 [size =\"28659712\"]\n  28 -> 34 [size =\"28659712\"]\n  28 -> 35 [size =\"28659712\"]\n  28 -> 36 [size =\"28659712\"]\n  28 -> 37 [size =\"28659712\"]\n  29 [size=\"54579200\", alpha=\"0.12\", expect_size=\"21831680\"] \n  29 -> 34 [size =\"21831680\"]\n  29 -> 37 [size =\"21831680\"]\n  30 [size=\"105187840\", alpha=\"0.16\", expect_size=\"42075136\"] \n  30 -> 31 [size =\"42075136\"]\n  30 -> 34 [size =\"42075136\"]\n  30 -> 35 [size =\"42075136\"]\n  30 -> 36 [size =\"42075136\"]\n  30 -> 37 [size =\"42075136\"]\n  31 [size=\"78264320\", alpha=\"0.00\", expect_size=\"31305728\"] \n  31 -> 38 [size =\"31305728\"]\n  31 -> 39 [size =\"31305728\"]\n  32 [size=\"69143040\", alpha=\"0.08\", expect_size=\"27657216\"] \n  32 -> 38 [size =\"27657216\"]\n  32 -> 40 [size =\"27657216\"]\n  33 [size=\"124106240\", alpha=\"0.13\", expect_size=\"49642496\"] \n  33 -> 38 [size =\"49642496\"]\n  34 [size=\"66009600\", alpha=\"0.11\", expect_size=\"26403840\"] \n  34 -> 38 [size =\"26403840\"]\n  35 [size=\"50759680\", alpha=\"0.20\", expect_size=\"20303872\"] \n  35 -> 38 [size =\"20303872\"]\n  36 [size=\"120696320\", alpha=\"0.17\", expect_size=\"48278528\"] \n  36 -> 39 [size =\"48278528\"]\n  37 [size=\"95408640\", alpha=\"0.06\", expect_size=\"38163456\"] \n  38 [size=\"65029120\", alpha=\"0.16\", expect_size=\"26011648\"] \n  39 [size=\"109196800\", alpha=\"0.09\", expect_size=\"43678720\"] \n  40 [size=\"63831040\", alpha=\"0.15\", expect_size=\"25532416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107424427\", alpha=\"0.02\", expect_size=\"32227328\"] \n  1 -> 2 [size =\"32227328\"]\n  2 [size=\"110394027\", alpha=\"0.12\", expect_size=\"33118208\"] \n  2 -> 3 [size =\"33118208\"]\n  3 [size=\"123228160\", alpha=\"0.14\", expect_size=\"36968448\"] \n  3 -> 4 [size =\"36968448\"]\n  4 [size=\"104007680\", alpha=\"0.01\", expect_size=\"31202304\"] \n  4 -> 5 [size =\"31202304\"]\n  5 [size=\"170618880\", alpha=\"0.09\", expect_size=\"51185664\"] \n  5 -> 6 [size =\"51185664\"]\n  6 [size=\"111267840\", alpha=\"0.13\", expect_size=\"33380352\"] \n  6 -> 7 [size =\"33380352\"]\n  7 [size=\"78322347\", alpha=\"0.18\", expect_size=\"23496704\"] \n  7 -> 8 [size =\"23496704\"]\n  8 [size=\"137383253\", alpha=\"0.19\", expect_size=\"41214976\"] \n  8 -> 9 [size =\"41214976\"]\n  9 [size=\"27661653\", alpha=\"0.11\", expect_size=\"8298496\"] \n  9 -> 10 [size =\"8298496\"]\n  10 [size=\"142677333\", alpha=\"0.02\", expect_size=\"42803200\"] \n  10 -> 11 [size =\"42803200\"]\n  11 [size=\"136925867\", alpha=\"0.11\", expect_size=\"41077760\"] \n  11 -> 12 [size =\"41077760\"]\n  12 [size=\"152190293\", alpha=\"0.12\", expect_size=\"45657088\"] \n  12 -> 13 [size =\"45657088\"]\n  13 [size=\"86439253\", alpha=\"0.16\", expect_size=\"25931776\"] \n  13 -> 14 [size =\"25931776\"]\n  14 [size=\"39792640\", alpha=\"0.14\", expect_size=\"11937792\"] \n  14 -> 15 [size =\"11937792\"]\n  15 [size=\"47653547\", alpha=\"0.09\", expect_size=\"14296064\"] \n  15 -> 16 [size =\"14296064\"]\n  16 [size=\"118456320\", alpha=\"0.18\", expect_size=\"35536896\"] \n  16 -> 17 [size =\"35536896\"]\n  17 [size=\"62634667\", alpha=\"0.04\", expect_size=\"18790400\"] \n  17 -> 18 [size =\"18790400\"]\n  18 [size=\"49575253\", alpha=\"0.20\", expect_size=\"14872576\"] \n  18 -> 19 [size =\"14872576\"]\n  19 [size=\"38195200\", alpha=\"0.15\", expect_size=\"11458560\"] \n  19 -> 20 [size =\"11458560\"]\n  20 [size=\"128133120\", alpha=\"0.04\", expect_size=\"38439936\"] \n  20 -> 21 [size =\"38439936\"]\n  21 [size=\"145404587\", alpha=\"0.05\", expect_size=\"43621376\"] \n  21 -> 22 [size =\"43621376\"]\n  22 [size=\"75178667\", alpha=\"0.18\", expect_size=\"22553600\"] \n  22 -> 23 [size =\"22553600\"]\n  23 [size=\"168325120\", alpha=\"0.04\", expect_size=\"50497536\"] \n  23 -> 24 [size =\"50497536\"]\n  24 [size=\"137997653\", alpha=\"0.02\", expect_size=\"41399296\"] \n  24 -> 25 [size =\"41399296\"]\n  25 [size=\"89900373\", alpha=\"0.18\", expect_size=\"26970112\"] \n  25 -> 26 [size =\"26970112\"]\n  26 [size=\"159788373\", alpha=\"0.07\", expect_size=\"47936512\"] \n  26 -> 27 [size =\"47936512\"]\n  27 [size=\"144230400\", alpha=\"0.04\", expect_size=\"43269120\"] \n  27 -> 28 [size =\"43269120\"]\n  28 [size=\"18100907\", alpha=\"0.15\", expect_size=\"5430272\"] \n  28 -> 29 [size =\"5430272\"]\n  29 [size=\"172503040\", alpha=\"0.08\", expect_size=\"51750912\"] \n  29 -> 30 [size =\"51750912\"]\n  30 [size=\"130717013\", alpha=\"0.17\", expect_size=\"39215104\"] \n  30 -> 31 [size =\"39215104\"]\n  31 [size=\"164253013\", alpha=\"0.01\", expect_size=\"49275904\"] \n  31 -> 32 [size =\"49275904\"]\n  32 [size=\"48482987\", alpha=\"0.02\", expect_size=\"14544896\"] \n  32 -> 33 [size =\"14544896\"]\n  33 [size=\"33614507\", alpha=\"0.12\", expect_size=\"10084352\"] \n  33 -> 34 [size =\"10084352\"]\n  34 [size=\"68116480\", alpha=\"0.05\", expect_size=\"20434944\"] \n  34 -> 35 [size =\"20434944\"]\n  35 [size=\"81237333\", alpha=\"0.02\", expect_size=\"24371200\"] \n  35 -> 36 [size =\"24371200\"]\n  36 [size=\"68829867\", alpha=\"0.11\", expect_size=\"20648960\"] \n  36 -> 37 [size =\"20648960\"]\n  37 [size=\"124689067\", alpha=\"0.06\", expect_size=\"37406720\"] \n  37 -> 38 [size =\"37406720\"]\n  38 [size=\"152378027\", alpha=\"0.06\", expect_size=\"45713408\"] \n  38 -> 39 [size =\"45713408\"]\n  39 [size=\"114520747\", alpha=\"0.08\", expect_size=\"34356224\"] \n  39 -> 40 [size =\"34356224\"]\n  40 [size=\"21299200\", alpha=\"0.04\", expect_size=\"6389760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103215104\", alpha=\"0.10\", expect_size=\"51607552\"] \n  2 [size=\"50405376\", alpha=\"0.16\", expect_size=\"25202688\"] \n  2 -> 8 [size =\"25202688\"]\n  2 -> 10 [size =\"25202688\"]\n  3 [size=\"76212224\", alpha=\"0.00\", expect_size=\"38106112\"] \n  3 -> 8 [size =\"38106112\"]\n  4 [size=\"13975552\", alpha=\"0.15\", expect_size=\"6987776\"] \n  4 -> 8 [size =\"6987776\"]\n  4 -> 9 [size =\"6987776\"]\n  4 -> 10 [size =\"6987776\"]\n  5 [size=\"104167424\", alpha=\"0.01\", expect_size=\"52083712\"] \n  5 -> 8 [size =\"52083712\"]\n  5 -> 9 [size =\"52083712\"]\n  5 -> 11 [size =\"52083712\"]\n  6 [size=\"82692096\", alpha=\"0.02\", expect_size=\"41346048\"] \n  6 -> 8 [size =\"41346048\"]\n  6 -> 10 [size =\"41346048\"]\n  6 -> 11 [size =\"41346048\"]\n  7 [size=\"25677824\", alpha=\"0.14\", expect_size=\"12838912\"] \n  7 -> 9 [size =\"12838912\"]\n  7 -> 10 [size =\"12838912\"]\n  8 [size=\"12408832\", alpha=\"0.02\", expect_size=\"6204416\"] \n  8 -> 12 [size =\"6204416\"]\n  8 -> 13 [size =\"6204416\"]\n  8 -> 14 [size =\"6204416\"]\n  8 -> 15 [size =\"6204416\"]\n  8 -> 16 [size =\"6204416\"]\n  9 [size=\"93784064\", alpha=\"0.13\", expect_size=\"46892032\"] \n  9 -> 12 [size =\"46892032\"]\n  9 -> 13 [size =\"46892032\"]\n  9 -> 14 [size =\"46892032\"]\n  10 [size=\"58103808\", alpha=\"0.10\", expect_size=\"29051904\"] \n  10 -> 12 [size =\"29051904\"]\n  10 -> 13 [size =\"29051904\"]\n  10 -> 14 [size =\"29051904\"]\n  10 -> 15 [size =\"29051904\"]\n  11 [size=\"56057856\", alpha=\"0.07\", expect_size=\"28028928\"] \n  11 -> 12 [size =\"28028928\"]\n  11 -> 14 [size =\"28028928\"]\n  11 -> 15 [size =\"28028928\"]\n  11 -> 16 [size =\"28028928\"]\n  11 -> 17 [size =\"28028928\"]\n  12 [size=\"104587264\", alpha=\"0.16\", expect_size=\"52293632\"] \n  12 -> 19 [size =\"52293632\"]\n  12 -> 20 [size =\"52293632\"]\n  12 -> 21 [size =\"52293632\"]\n  12 -> 23 [size =\"52293632\"]\n  13 [size=\"87676928\", alpha=\"0.06\", expect_size=\"43838464\"] \n  13 -> 19 [size =\"43838464\"]\n  13 -> 21 [size =\"43838464\"]\n  13 -> 22 [size =\"43838464\"]\n  13 -> 23 [size =\"43838464\"]\n  14 [size=\"87705600\", alpha=\"0.09\", expect_size=\"43852800\"] \n  14 -> 19 [size =\"43852800\"]\n  14 -> 23 [size =\"43852800\"]\n  15 [size=\"65431552\", alpha=\"0.09\", expect_size=\"32715776\"] \n  15 -> 19 [size =\"32715776\"]\n  15 -> 23 [size =\"32715776\"]\n  16 [size=\"68454400\", alpha=\"0.01\", expect_size=\"34227200\"] \n  16 -> 18 [size =\"34227200\"]\n  16 -> 19 [size =\"34227200\"]\n  16 -> 20 [size =\"34227200\"]\n  16 -> 23 [size =\"34227200\"]\n  17 [size=\"76228608\", alpha=\"0.04\", expect_size=\"38114304\"] \n  17 -> 19 [size =\"38114304\"]\n  17 -> 20 [size =\"38114304\"]\n  17 -> 20 [size =\"38114304\"]\n  17 -> 23 [size =\"38114304\"]\n  18 [size=\"46274560\", alpha=\"0.02\", expect_size=\"23137280\"] \n  18 -> 24 [size =\"23137280\"]\n  18 -> 25 [size =\"23137280\"]\n  18 -> 27 [size =\"23137280\"]\n  19 [size=\"56580096\", alpha=\"0.01\", expect_size=\"28290048\"] \n  19 -> 25 [size =\"28290048\"]\n  19 -> 25 [size =\"28290048\"]\n  19 -> 27 [size =\"28290048\"]\n  19 -> 28 [size =\"28290048\"]\n  20 [size=\"22800384\", alpha=\"0.10\", expect_size=\"11400192\"] \n  20 -> 24 [size =\"11400192\"]\n  20 -> 25 [size =\"11400192\"]\n  20 -> 26 [size =\"11400192\"]\n  20 -> 27 [size =\"11400192\"]\n  20 -> 28 [size =\"11400192\"]\n  21 [size=\"71243776\", alpha=\"0.19\", expect_size=\"35621888\"] \n  21 -> 24 [size =\"35621888\"]\n  21 -> 27 [size =\"35621888\"]\n  21 -> 28 [size =\"35621888\"]\n  22 [size=\"10592256\", alpha=\"0.17\", expect_size=\"5296128\"] \n  22 -> 24 [size =\"5296128\"]\n  22 -> 25 [size =\"5296128\"]\n  22 -> 26 [size =\"5296128\"]\n  22 -> 29 [size =\"5296128\"]\n  23 [size=\"87568384\", alpha=\"0.08\", expect_size=\"43784192\"] \n  23 -> 24 [size =\"43784192\"]\n  23 -> 28 [size =\"43784192\"]\n  23 -> 29 [size =\"43784192\"]\n  24 [size=\"20070400\", alpha=\"0.20\", expect_size=\"10035200\"] \n  24 -> 31 [size =\"10035200\"]\n  24 -> 33 [size =\"10035200\"]\n  24 -> 34 [size =\"10035200\"]\n  25 [size=\"61190144\", alpha=\"0.12\", expect_size=\"30595072\"] \n  25 -> 31 [size =\"30595072\"]\n  25 -> 32 [size =\"30595072\"]\n  25 -> 34 [size =\"30595072\"]\n  25 -> 35 [size =\"30595072\"]\n  25 -> 36 [size =\"30595072\"]\n  26 [size=\"101570560\", alpha=\"0.19\", expect_size=\"50785280\"] \n  26 -> 30 [size =\"50785280\"]\n  26 -> 31 [size =\"50785280\"]\n  26 -> 34 [size =\"50785280\"]\n  27 [size=\"13893632\", alpha=\"0.10\", expect_size=\"6946816\"] \n  27 -> 30 [size =\"6946816\"]\n  27 -> 31 [size =\"6946816\"]\n  27 -> 33 [size =\"6946816\"]\n  28 [size=\"31426560\", alpha=\"0.00\", expect_size=\"15713280\"] \n  28 -> 33 [size =\"15713280\"]\n  28 -> 36 [size =\"15713280\"]\n  29 [size=\"39469056\", alpha=\"0.09\", expect_size=\"19734528\"] \n  29 -> 32 [size =\"19734528\"]\n  30 [size=\"44077056\", alpha=\"0.08\", expect_size=\"22038528\"] \n  30 -> 37 [size =\"22038528\"]\n  30 -> 39 [size =\"22038528\"]\n  30 -> 39 [size =\"22038528\"]\n  30 -> 40 [size =\"22038528\"]\n  31 [size=\"92495872\", alpha=\"0.16\", expect_size=\"46247936\"] \n  31 -> 37 [size =\"46247936\"]\n  31 -> 40 [size =\"46247936\"]\n  32 [size=\"88709120\", alpha=\"0.04\", expect_size=\"44354560\"] \n  32 -> 37 [size =\"44354560\"]\n  32 -> 38 [size =\"44354560\"]\n  32 -> 39 [size =\"44354560\"]\n  33 [size=\"72640512\", alpha=\"0.09\", expect_size=\"36320256\"] \n  33 -> 37 [size =\"36320256\"]\n  33 -> 38 [size =\"36320256\"]\n  33 -> 39 [size =\"36320256\"]\n  33 -> 40 [size =\"36320256\"]\n  34 [size=\"15642624\", alpha=\"0.09\", expect_size=\"7821312\"] \n  34 -> 37 [size =\"7821312\"]\n  34 -> 38 [size =\"7821312\"]\n  34 -> 40 [size =\"7821312\"]\n  35 [size=\"15577088\", alpha=\"0.02\", expect_size=\"7788544\"] \n  35 -> 37 [size =\"7788544\"]\n  35 -> 38 [size =\"7788544\"]\n  36 [size=\"71757824\", alpha=\"0.07\", expect_size=\"35878912\"] \n  36 -> 37 [size =\"35878912\"]\n  36 -> 38 [size =\"35878912\"]\n  36 -> 39 [size =\"35878912\"]\n  37 [size=\"67645440\", alpha=\"0.06\", expect_size=\"33822720\"] \n  38 [size=\"18434048\", alpha=\"0.12\", expect_size=\"9217024\"] \n  39 [size=\"20418560\", alpha=\"0.08\", expect_size=\"10209280\"] \n  40 [size=\"62525440\", alpha=\"0.07\", expect_size=\"31262720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107048960\", alpha=\"0.04\", expect_size=\"32114688\"] \n  1 -> 8 [size =\"32114688\"]\n  2 [size=\"86405120\", alpha=\"0.02\", expect_size=\"25921536\"] \n  2 -> 4 [size =\"25921536\"]\n  2 -> 5 [size =\"25921536\"]\n  2 -> 6 [size =\"25921536\"]\n  3 [size=\"63979520\", alpha=\"0.08\", expect_size=\"19193856\"] \n  3 -> 4 [size =\"19193856\"]\n  3 -> 5 [size =\"19193856\"]\n  3 -> 7 [size =\"19193856\"]\n  3 -> 9 [size =\"19193856\"]\n  3 -> 10 [size =\"19193856\"]\n  3 -> 11 [size =\"19193856\"]\n  4 [size=\"79619413\", alpha=\"0.13\", expect_size=\"23885824\"] \n  4 -> 12 [size =\"23885824\"]\n  5 [size=\"66300587\", alpha=\"0.03\", expect_size=\"19890176\"] \n  5 -> 14 [size =\"19890176\"]\n  6 [size=\"121879893\", alpha=\"0.11\", expect_size=\"36563968\"] \n  6 -> 12 [size =\"36563968\"]\n  6 -> 15 [size =\"36563968\"]\n  6 -> 17 [size =\"36563968\"]\n  7 [size=\"35000320\", alpha=\"0.01\", expect_size=\"10500096\"] \n  7 -> 14 [size =\"10500096\"]\n  8 [size=\"48274773\", alpha=\"0.07\", expect_size=\"14482432\"] \n  8 -> 12 [size =\"14482432\"]\n  8 -> 13 [size =\"14482432\"]\n  8 -> 14 [size =\"14482432\"]\n  8 -> 15 [size =\"14482432\"]\n  8 -> 17 [size =\"14482432\"]\n  9 [size=\"60426240\", alpha=\"0.19\", expect_size=\"18127872\"] \n  9 -> 14 [size =\"18127872\"]\n  9 -> 16 [size =\"18127872\"]\n  10 [size=\"101328213\", alpha=\"0.06\", expect_size=\"30398464\"] \n  10 -> 15 [size =\"30398464\"]\n  10 -> 16 [size =\"30398464\"]\n  11 [size=\"53807787\", alpha=\"0.05\", expect_size=\"16142336\"] \n  12 [size=\"82213547\", alpha=\"0.10\", expect_size=\"24664064\"] \n  12 -> 18 [size =\"24664064\"]\n  13 [size=\"101068800\", alpha=\"0.19\", expect_size=\"30320640\"] \n  13 -> 18 [size =\"30320640\"]\n  13 -> 19 [size =\"30320640\"]\n  14 [size=\"166400000\", alpha=\"0.03\", expect_size=\"49920000\"] \n  14 -> 18 [size =\"49920000\"]\n  14 -> 21 [size =\"49920000\"]\n  15 [size=\"110626133\", alpha=\"0.05\", expect_size=\"33187840\"] \n  15 -> 19 [size =\"33187840\"]\n  15 -> 21 [size =\"33187840\"]\n  16 [size=\"131792213\", alpha=\"0.03\", expect_size=\"39537664\"] \n  16 -> 19 [size =\"39537664\"]\n  16 -> 20 [size =\"39537664\"]\n  16 -> 21 [size =\"39537664\"]\n  17 [size=\"58565973\", alpha=\"0.03\", expect_size=\"17569792\"] \n  17 -> 18 [size =\"17569792\"]\n  17 -> 20 [size =\"17569792\"]\n  18 [size=\"68795733\", alpha=\"0.04\", expect_size=\"20638720\"] \n  18 -> 24 [size =\"20638720\"]\n  18 -> 28 [size =\"20638720\"]\n  19 [size=\"120835413\", alpha=\"0.02\", expect_size=\"36250624\"] \n  19 -> 23 [size =\"36250624\"]\n  19 -> 24 [size =\"36250624\"]\n  19 -> 25 [size =\"36250624\"]\n  19 -> 26 [size =\"36250624\"]\n  19 -> 27 [size =\"36250624\"]\n  19 -> 29 [size =\"36250624\"]\n  20 [size=\"115609600\", alpha=\"0.17\", expect_size=\"34682880\"] \n  20 -> 22 [size =\"34682880\"]\n  20 -> 23 [size =\"34682880\"]\n  20 -> 26 [size =\"34682880\"]\n  20 -> 27 [size =\"34682880\"]\n  20 -> 28 [size =\"34682880\"]\n  21 [size=\"159170560\", alpha=\"0.04\", expect_size=\"47751168\"] \n  21 -> 24 [size =\"47751168\"]\n  21 -> 27 [size =\"47751168\"]\n  21 -> 28 [size =\"47751168\"]\n  22 [size=\"37847040\", alpha=\"0.19\", expect_size=\"11354112\"] \n  23 [size=\"117565440\", alpha=\"0.01\", expect_size=\"35269632\"] \n  23 -> 32 [size =\"35269632\"]\n  23 -> 33 [size =\"35269632\"]\n  24 [size=\"110387200\", alpha=\"0.10\", expect_size=\"33116160\"] \n  24 -> 30 [size =\"33116160\"]\n  24 -> 31 [size =\"33116160\"]\n  24 -> 32 [size =\"33116160\"]\n  25 [size=\"130542933\", alpha=\"0.06\", expect_size=\"39162880\"] \n  25 -> 30 [size =\"39162880\"]\n  26 [size=\"171151360\", alpha=\"0.15\", expect_size=\"51345408\"] \n  26 -> 33 [size =\"51345408\"]\n  27 [size=\"35136853\", alpha=\"0.06\", expect_size=\"10541056\"] \n  27 -> 31 [size =\"10541056\"]\n  28 [size=\"60269227\", alpha=\"0.01\", expect_size=\"18080768\"] \n  28 -> 31 [size =\"18080768\"]\n  28 -> 32 [size =\"18080768\"]\n  29 [size=\"87818240\", alpha=\"0.01\", expect_size=\"26345472\"] \n  30 [size=\"100184747\", alpha=\"0.12\", expect_size=\"30055424\"] \n  30 -> 35 [size =\"30055424\"]\n  30 -> 37 [size =\"30055424\"]\n  30 -> 40 [size =\"30055424\"]\n  31 [size=\"76281173\", alpha=\"0.08\", expect_size=\"22884352\"] \n  31 -> 34 [size =\"22884352\"]\n  31 -> 35 [size =\"22884352\"]\n  31 -> 36 [size =\"22884352\"]\n  31 -> 37 [size =\"22884352\"]\n  31 -> 38 [size =\"22884352\"]\n  31 -> 40 [size =\"22884352\"]\n  32 [size=\"105687040\", alpha=\"0.12\", expect_size=\"31706112\"] \n  32 -> 36 [size =\"31706112\"]\n  32 -> 38 [size =\"31706112\"]\n  32 -> 39 [size =\"31706112\"]\n  33 [size=\"100044800\", alpha=\"0.06\", expect_size=\"30013440\"] \n  33 -> 35 [size =\"30013440\"]\n  33 -> 37 [size =\"30013440\"]\n  34 [size=\"105861120\", alpha=\"0.20\", expect_size=\"31758336\"] \n  35 [size=\"27992747\", alpha=\"0.05\", expect_size=\"8397824\"] \n  36 [size=\"72553813\", alpha=\"0.05\", expect_size=\"21766144\"] \n  37 [size=\"29375147\", alpha=\"0.10\", expect_size=\"8812544\"] \n  38 [size=\"73267200\", alpha=\"0.02\", expect_size=\"21980160\"] \n  39 [size=\"77745493\", alpha=\"0.07\", expect_size=\"23323648\"] \n  40 [size=\"85760000\", alpha=\"0.04\", expect_size=\"25728000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13377536\", alpha=\"0.05\", expect_size=\"6688768\"] \n  1 -> 4 [size =\"6688768\"]\n  1 -> 5 [size =\"6688768\"]\n  2 [size=\"33265664\", alpha=\"0.12\", expect_size=\"16632832\"] \n  2 -> 5 [size =\"16632832\"]\n  3 [size=\"56856576\", alpha=\"0.19\", expect_size=\"28428288\"] \n  3 -> 4 [size =\"28428288\"]\n  3 -> 5 [size =\"28428288\"]\n  4 [size=\"100407296\", alpha=\"0.03\", expect_size=\"50203648\"] \n  4 -> 6 [size =\"50203648\"]\n  4 -> 7 [size =\"50203648\"]\n  5 [size=\"16001024\", alpha=\"0.07\", expect_size=\"8000512\"] \n  5 -> 6 [size =\"8000512\"]\n  5 -> 7 [size =\"8000512\"]\n  6 [size=\"38600704\", alpha=\"0.11\", expect_size=\"19300352\"] \n  6 -> 9 [size =\"19300352\"]\n  7 [size=\"14968832\", alpha=\"0.15\", expect_size=\"7484416\"] \n  7 -> 8 [size =\"7484416\"]\n  7 -> 9 [size =\"7484416\"]\n  8 [size=\"20615168\", alpha=\"0.14\", expect_size=\"10307584\"] \n  8 -> 10 [size =\"10307584\"]\n  9 [size=\"29896704\", alpha=\"0.02\", expect_size=\"14948352\"] \n  9 -> 11 [size =\"14948352\"]\n  10 [size=\"70121472\", alpha=\"0.07\", expect_size=\"35060736\"] \n  10 -> 12 [size =\"35060736\"]\n  10 -> 13 [size =\"35060736\"]\n  10 -> 14 [size =\"35060736\"]\n  11 [size=\"41500672\", alpha=\"0.19\", expect_size=\"20750336\"] \n  11 -> 12 [size =\"20750336\"]\n  11 -> 13 [size =\"20750336\"]\n  11 -> 14 [size =\"20750336\"]\n  12 [size=\"66783232\", alpha=\"0.01\", expect_size=\"33391616\"] \n  12 -> 15 [size =\"33391616\"]\n  12 -> 16 [size =\"33391616\"]\n  13 [size=\"30070784\", alpha=\"0.02\", expect_size=\"15035392\"] \n  13 -> 15 [size =\"15035392\"]\n  14 [size=\"23838720\", alpha=\"0.19\", expect_size=\"11919360\"] \n  14 -> 16 [size =\"11919360\"]\n  15 [size=\"36196352\", alpha=\"0.13\", expect_size=\"18098176\"] \n  15 -> 17 [size =\"18098176\"]\n  15 -> 18 [size =\"18098176\"]\n  16 [size=\"68554752\", alpha=\"0.14\", expect_size=\"34277376\"] \n  16 -> 17 [size =\"34277376\"]\n  16 -> 18 [size =\"34277376\"]\n  17 [size=\"28381184\", alpha=\"0.04\", expect_size=\"14190592\"] \n  17 -> 19 [size =\"14190592\"]\n  17 -> 20 [size =\"14190592\"]\n  18 [size=\"97359872\", alpha=\"0.01\", expect_size=\"48679936\"] \n  18 -> 19 [size =\"48679936\"]\n  18 -> 20 [size =\"48679936\"]\n  19 [size=\"67620864\", alpha=\"0.06\", expect_size=\"33810432\"] \n  19 -> 21 [size =\"33810432\"]\n  20 [size=\"75220992\", alpha=\"0.18\", expect_size=\"37610496\"] \n  20 -> 21 [size =\"37610496\"]\n  20 -> 22 [size =\"37610496\"]\n  21 [size=\"12462080\", alpha=\"0.10\", expect_size=\"6231040\"] \n  21 -> 23 [size =\"6231040\"]\n  21 -> 24 [size =\"6231040\"]\n  22 [size=\"103522304\", alpha=\"0.08\", expect_size=\"51761152\"] \n  22 -> 23 [size =\"51761152\"]\n  22 -> 24 [size =\"51761152\"]\n  22 -> 25 [size =\"51761152\"]\n  23 [size=\"11968512\", alpha=\"0.15\", expect_size=\"5984256\"] \n  24 [size=\"20948992\", alpha=\"0.01\", expect_size=\"10474496\"] \n  24 -> 26 [size =\"10474496\"]\n  24 -> 27 [size =\"10474496\"]\n  25 [size=\"18216960\", alpha=\"0.08\", expect_size=\"9108480\"] \n  26 [size=\"78671872\", alpha=\"0.02\", expect_size=\"39335936\"] \n  26 -> 28 [size =\"39335936\"]\n  26 -> 29 [size =\"39335936\"]\n  27 [size=\"51306496\", alpha=\"0.16\", expect_size=\"25653248\"] \n  27 -> 28 [size =\"25653248\"]\n  27 -> 29 [size =\"25653248\"]\n  28 [size=\"70082560\", alpha=\"0.12\", expect_size=\"35041280\"] \n  28 -> 30 [size =\"35041280\"]\n  28 -> 31 [size =\"35041280\"]\n  29 [size=\"73603072\", alpha=\"0.13\", expect_size=\"36801536\"] \n  29 -> 31 [size =\"36801536\"]\n  30 [size=\"101672960\", alpha=\"0.06\", expect_size=\"50836480\"] \n  30 -> 32 [size =\"50836480\"]\n  30 -> 33 [size =\"50836480\"]\n  31 [size=\"91416576\", alpha=\"0.06\", expect_size=\"45708288\"] \n  31 -> 33 [size =\"45708288\"]\n  32 [size=\"45721600\", alpha=\"0.18\", expect_size=\"22860800\"] \n  32 -> 34 [size =\"22860800\"]\n  32 -> 35 [size =\"22860800\"]\n  33 [size=\"81743872\", alpha=\"0.13\", expect_size=\"40871936\"] \n  33 -> 35 [size =\"40871936\"]\n  34 [size=\"57110528\", alpha=\"0.12\", expect_size=\"28555264\"] \n  34 -> 36 [size =\"28555264\"]\n  34 -> 37 [size =\"28555264\"]\n  35 [size=\"61747200\", alpha=\"0.16\", expect_size=\"30873600\"] \n  35 -> 37 [size =\"30873600\"]\n  36 [size=\"101165056\", alpha=\"0.13\", expect_size=\"50582528\"] \n  36 -> 38 [size =\"50582528\"]\n  36 -> 40 [size =\"50582528\"]\n  37 [size=\"14743552\", alpha=\"0.13\", expect_size=\"7371776\"] \n  37 -> 38 [size =\"7371776\"]\n  37 -> 39 [size =\"7371776\"]\n  37 -> 40 [size =\"7371776\"]\n  38 [size=\"90079232\", alpha=\"0.11\", expect_size=\"45039616\"] \n  39 [size=\"54185984\", alpha=\"0.02\", expect_size=\"27092992\"] \n  40 [size=\"20850688\", alpha=\"0.07\", expect_size=\"10425344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46612480\", alpha=\"0.19\", expect_size=\"18644992\"] \n  1 -> 2 [size =\"18644992\"]\n  2 [size=\"14353920\", alpha=\"0.17\", expect_size=\"5741568\"] \n  2 -> 3 [size =\"5741568\"]\n  3 [size=\"103493120\", alpha=\"0.12\", expect_size=\"41397248\"] \n  3 -> 4 [size =\"41397248\"]\n  4 [size=\"35138560\", alpha=\"0.10\", expect_size=\"14055424\"] \n  4 -> 5 [size =\"14055424\"]\n  5 [size=\"17953280\", alpha=\"0.07\", expect_size=\"7181312\"] \n  5 -> 6 [size =\"7181312\"]\n  6 [size=\"71777280\", alpha=\"0.15\", expect_size=\"28710912\"] \n  6 -> 7 [size =\"28710912\"]\n  7 [size=\"113187840\", alpha=\"0.10\", expect_size=\"45275136\"] \n  7 -> 8 [size =\"45275136\"]\n  8 [size=\"89546240\", alpha=\"0.06\", expect_size=\"35818496\"] \n  8 -> 9 [size =\"35818496\"]\n  9 [size=\"47859200\", alpha=\"0.15\", expect_size=\"19143680\"] \n  9 -> 10 [size =\"19143680\"]\n  10 [size=\"29066240\", alpha=\"0.18\", expect_size=\"11626496\"] \n  10 -> 11 [size =\"11626496\"]\n  11 [size=\"30832640\", alpha=\"0.01\", expect_size=\"12333056\"] \n  11 -> 12 [size =\"12333056\"]\n  12 [size=\"23923200\", alpha=\"0.14\", expect_size=\"9569280\"] \n  12 -> 13 [size =\"9569280\"]\n  13 [size=\"124917760\", alpha=\"0.09\", expect_size=\"49967104\"] \n  13 -> 14 [size =\"49967104\"]\n  14 [size=\"76290560\", alpha=\"0.03\", expect_size=\"30516224\"] \n  14 -> 15 [size =\"30516224\"]\n  15 [size=\"18263040\", alpha=\"0.07\", expect_size=\"7305216\"] \n  15 -> 16 [size =\"7305216\"]\n  16 [size=\"61980160\", alpha=\"0.02\", expect_size=\"24792064\"] \n  16 -> 17 [size =\"24792064\"]\n  17 [size=\"30735360\", alpha=\"0.08\", expect_size=\"12294144\"] \n  17 -> 18 [size =\"12294144\"]\n  18 [size=\"90524160\", alpha=\"0.06\", expect_size=\"36209664\"] \n  18 -> 19 [size =\"36209664\"]\n  19 [size=\"128153600\", alpha=\"0.16\", expect_size=\"51261440\"] \n  19 -> 20 [size =\"51261440\"]\n  20 [size=\"96696320\", alpha=\"0.01\", expect_size=\"38678528\"] \n  20 -> 21 [size =\"38678528\"]\n  21 [size=\"84584960\", alpha=\"0.12\", expect_size=\"33833984\"] \n  21 -> 22 [size =\"33833984\"]\n  22 [size=\"89031680\", alpha=\"0.03\", expect_size=\"35612672\"] \n  22 -> 23 [size =\"35612672\"]\n  23 [size=\"51415040\", alpha=\"0.09\", expect_size=\"20566016\"] \n  23 -> 24 [size =\"20566016\"]\n  24 [size=\"104099840\", alpha=\"0.20\", expect_size=\"41639936\"] \n  24 -> 25 [size =\"41639936\"]\n  25 [size=\"124231680\", alpha=\"0.11\", expect_size=\"49692672\"] \n  25 -> 26 [size =\"49692672\"]\n  26 [size=\"50024960\", alpha=\"0.12\", expect_size=\"20009984\"] \n  26 -> 27 [size =\"20009984\"]\n  27 [size=\"61998080\", alpha=\"0.09\", expect_size=\"24799232\"] \n  27 -> 28 [size =\"24799232\"]\n  28 [size=\"109201920\", alpha=\"0.00\", expect_size=\"43680768\"] \n  28 -> 29 [size =\"43680768\"]\n  29 [size=\"24069120\", alpha=\"0.17\", expect_size=\"9627648\"] \n  29 -> 30 [size =\"9627648\"]\n  30 [size=\"115750400\", alpha=\"0.17\", expect_size=\"46300160\"] \n  30 -> 31 [size =\"46300160\"]\n  31 [size=\"120432640\", alpha=\"0.19\", expect_size=\"48173056\"] \n  31 -> 32 [size =\"48173056\"]\n  32 [size=\"71618560\", alpha=\"0.04\", expect_size=\"28647424\"] \n  32 -> 33 [size =\"28647424\"]\n  33 [size=\"88524800\", alpha=\"0.07\", expect_size=\"35409920\"] \n  33 -> 34 [size =\"35409920\"]\n  34 [size=\"25610240\", alpha=\"0.01\", expect_size=\"10244096\"] \n  34 -> 35 [size =\"10244096\"]\n  35 [size=\"22873600\", alpha=\"0.16\", expect_size=\"9149440\"] \n  35 -> 36 [size =\"9149440\"]\n  36 [size=\"85163520\", alpha=\"0.19\", expect_size=\"34065408\"] \n  36 -> 37 [size =\"34065408\"]\n  37 [size=\"35217920\", alpha=\"0.05\", expect_size=\"14087168\"] \n  37 -> 38 [size =\"14087168\"]\n  38 [size=\"91087360\", alpha=\"0.04\", expect_size=\"36434944\"] \n  38 -> 39 [size =\"36434944\"]\n  39 [size=\"93278720\", alpha=\"0.03\", expect_size=\"37311488\"] \n  39 -> 40 [size =\"37311488\"]\n  40 [size=\"76546560\", alpha=\"0.16\", expect_size=\"30618624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63464107\", alpha=\"0.10\", expect_size=\"19039232\"] \n  1 -> 7 [size =\"19039232\"]\n  1 -> 8 [size =\"19039232\"]\n  1 -> 9 [size =\"19039232\"]\n  1 -> 10 [size =\"19039232\"]\n  1 -> 11 [size =\"19039232\"]\n  2 [size=\"136785920\", alpha=\"0.02\", expect_size=\"41035776\"] \n  2 -> 7 [size =\"41035776\"]\n  2 -> 9 [size =\"41035776\"]\n  2 -> 10 [size =\"41035776\"]\n  2 -> 10 [size =\"41035776\"]\n  3 [size=\"81582080\", alpha=\"0.10\", expect_size=\"24474624\"] \n  3 -> 8 [size =\"24474624\"]\n  3 -> 10 [size =\"24474624\"]\n  3 -> 10 [size =\"24474624\"]\n  4 [size=\"60163413\", alpha=\"0.06\", expect_size=\"18049024\"] \n  4 -> 7 [size =\"18049024\"]\n  5 [size=\"29764267\", alpha=\"0.18\", expect_size=\"8929280\"] \n  5 -> 8 [size =\"8929280\"]\n  5 -> 9 [size =\"8929280\"]\n  5 -> 10 [size =\"8929280\"]\n  5 -> 11 [size =\"8929280\"]\n  6 [size=\"114984960\", alpha=\"0.00\", expect_size=\"34495488\"] \n  6 -> 8 [size =\"34495488\"]\n  6 -> 9 [size =\"34495488\"]\n  7 [size=\"143595520\", alpha=\"0.05\", expect_size=\"43078656\"] \n  7 -> 12 [size =\"43078656\"]\n  7 -> 14 [size =\"43078656\"]\n  7 -> 15 [size =\"43078656\"]\n  8 [size=\"83558400\", alpha=\"0.00\", expect_size=\"25067520\"] \n  8 -> 14 [size =\"25067520\"]\n  8 -> 14 [size =\"25067520\"]\n  9 [size=\"141783040\", alpha=\"0.04\", expect_size=\"42534912\"] \n  9 -> 12 [size =\"42534912\"]\n  9 -> 14 [size =\"42534912\"]\n  9 -> 15 [size =\"42534912\"]\n  9 -> 16 [size =\"42534912\"]\n  10 [size=\"137768960\", alpha=\"0.11\", expect_size=\"41330688\"] \n  10 -> 12 [size =\"41330688\"]\n  10 -> 13 [size =\"41330688\"]\n  10 -> 15 [size =\"41330688\"]\n  10 -> 16 [size =\"41330688\"]\n  11 [size=\"113373867\", alpha=\"0.05\", expect_size=\"34012160\"] \n  11 -> 12 [size =\"34012160\"]\n  11 -> 13 [size =\"34012160\"]\n  11 -> 14 [size =\"34012160\"]\n  11 -> 15 [size =\"34012160\"]\n  11 -> 16 [size =\"34012160\"]\n  12 [size=\"34962773\", alpha=\"0.06\", expect_size=\"10488832\"] \n  12 -> 17 [size =\"10488832\"]\n  12 -> 19 [size =\"10488832\"]\n  13 [size=\"52923733\", alpha=\"0.20\", expect_size=\"15877120\"] \n  13 -> 18 [size =\"15877120\"]\n  13 -> 19 [size =\"15877120\"]\n  14 [size=\"130703360\", alpha=\"0.16\", expect_size=\"39211008\"] \n  14 -> 17 [size =\"39211008\"]\n  14 -> 18 [size =\"39211008\"]\n  14 -> 20 [size =\"39211008\"]\n  15 [size=\"19585707\", alpha=\"0.16\", expect_size=\"5875712\"] \n  15 -> 17 [size =\"5875712\"]\n  15 -> 18 [size =\"5875712\"]\n  15 -> 20 [size =\"5875712\"]\n  16 [size=\"160464213\", alpha=\"0.15\", expect_size=\"48139264\"] \n  16 -> 17 [size =\"48139264\"]\n  16 -> 18 [size =\"48139264\"]\n  16 -> 20 [size =\"48139264\"]\n  17 [size=\"161375573\", alpha=\"0.20\", expect_size=\"48412672\"] \n  17 -> 21 [size =\"48412672\"]\n  17 -> 24 [size =\"48412672\"]\n  17 -> 25 [size =\"48412672\"]\n  17 -> 26 [size =\"48412672\"]\n  18 [size=\"47168853\", alpha=\"0.01\", expect_size=\"14150656\"] \n  18 -> 21 [size =\"14150656\"]\n  18 -> 22 [size =\"14150656\"]\n  18 -> 24 [size =\"14150656\"]\n  18 -> 25 [size =\"14150656\"]\n  18 -> 26 [size =\"14150656\"]\n  19 [size=\"48199680\", alpha=\"0.11\", expect_size=\"14459904\"] \n  19 -> 22 [size =\"14459904\"]\n  19 -> 24 [size =\"14459904\"]\n  19 -> 25 [size =\"14459904\"]\n  19 -> 26 [size =\"14459904\"]\n  19 -> 26 [size =\"14459904\"]\n  19 -> 27 [size =\"14459904\"]\n  20 [size=\"78643200\", alpha=\"0.15\", expect_size=\"23592960\"] \n  20 -> 23 [size =\"23592960\"]\n  20 -> 24 [size =\"23592960\"]\n  20 -> 25 [size =\"23592960\"]\n  21 [size=\"167536640\", alpha=\"0.04\", expect_size=\"50260992\"] \n  21 -> 30 [size =\"50260992\"]\n  21 -> 31 [size =\"50260992\"]\n  21 -> 32 [size =\"50260992\"]\n  22 [size=\"51636907\", alpha=\"0.08\", expect_size=\"15491072\"] \n  22 -> 29 [size =\"15491072\"]\n  22 -> 32 [size =\"15491072\"]\n  23 [size=\"99153920\", alpha=\"0.00\", expect_size=\"29746176\"] \n  23 -> 29 [size =\"29746176\"]\n  23 -> 32 [size =\"29746176\"]\n  24 [size=\"97399467\", alpha=\"0.18\", expect_size=\"29219840\"] \n  24 -> 28 [size =\"29219840\"]\n  24 -> 29 [size =\"29219840\"]\n  24 -> 32 [size =\"29219840\"]\n  25 [size=\"67536213\", alpha=\"0.17\", expect_size=\"20260864\"] \n  25 -> 29 [size =\"20260864\"]\n  25 -> 30 [size =\"20260864\"]\n  25 -> 31 [size =\"20260864\"]\n  25 -> 32 [size =\"20260864\"]\n  25 -> 33 [size =\"20260864\"]\n  26 [size=\"34519040\", alpha=\"0.09\", expect_size=\"10355712\"] \n  26 -> 32 [size =\"10355712\"]\n  26 -> 33 [size =\"10355712\"]\n  27 [size=\"148715520\", alpha=\"0.17\", expect_size=\"44614656\"] \n  27 -> 32 [size =\"44614656\"]\n  27 -> 33 [size =\"44614656\"]\n  28 [size=\"147537920\", alpha=\"0.13\", expect_size=\"44261376\"] \n  28 -> 34 [size =\"44261376\"]\n  29 [size=\"155893760\", alpha=\"0.05\", expect_size=\"46768128\"] \n  29 -> 34 [size =\"46768128\"]\n  29 -> 37 [size =\"46768128\"]\n  30 [size=\"88466773\", alpha=\"0.12\", expect_size=\"26540032\"] \n  30 -> 34 [size =\"26540032\"]\n  30 -> 38 [size =\"26540032\"]\n  31 [size=\"46206293\", alpha=\"0.12\", expect_size=\"13861888\"] \n  31 -> 34 [size =\"13861888\"]\n  31 -> 36 [size =\"13861888\"]\n  31 -> 38 [size =\"13861888\"]\n  32 [size=\"75103573\", alpha=\"0.14\", expect_size=\"22531072\"] \n  32 -> 34 [size =\"22531072\"]\n  33 [size=\"137178453\", alpha=\"0.20\", expect_size=\"41153536\"] \n  33 -> 34 [size =\"41153536\"]\n  33 -> 35 [size =\"41153536\"]\n  33 -> 38 [size =\"41153536\"]\n  34 [size=\"139257173\", alpha=\"0.01\", expect_size=\"41777152\"] \n  34 -> 40 [size =\"41777152\"]\n  35 [size=\"124023467\", alpha=\"0.01\", expect_size=\"37207040\"] \n  35 -> 39 [size =\"37207040\"]\n  36 [size=\"103772160\", alpha=\"0.01\", expect_size=\"31131648\"] \n  36 -> 39 [size =\"31131648\"]\n  36 -> 40 [size =\"31131648\"]\n  37 [size=\"18722133\", alpha=\"0.18\", expect_size=\"5616640\"] \n  37 -> 39 [size =\"5616640\"]\n  38 [size=\"152279040\", alpha=\"0.19\", expect_size=\"45683712\"] \n  38 -> 40 [size =\"45683712\"]\n  39 [size=\"98672640\", alpha=\"0.04\", expect_size=\"29601792\"] \n  40 [size=\"139492693\", alpha=\"0.17\", expect_size=\"41847808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59368960\", alpha=\"0.10\", expect_size=\"23747584\"] \n  1 -> 7 [size =\"23747584\"]\n  1 -> 9 [size =\"23747584\"]\n  1 -> 10 [size =\"23747584\"]\n  1 -> 11 [size =\"23747584\"]\n  2 [size=\"80253440\", alpha=\"0.04\", expect_size=\"32101376\"] \n  2 -> 6 [size =\"32101376\"]\n  2 -> 7 [size =\"32101376\"]\n  2 -> 9 [size =\"32101376\"]\n  2 -> 10 [size =\"32101376\"]\n  2 -> 11 [size =\"32101376\"]\n  3 [size=\"116369920\", alpha=\"0.07\", expect_size=\"46547968\"] \n  3 -> 11 [size =\"46547968\"]\n  4 [size=\"105341440\", alpha=\"0.12\", expect_size=\"42136576\"] \n  4 -> 8 [size =\"42136576\"]\n  5 [size=\"36894720\", alpha=\"0.16\", expect_size=\"14757888\"] \n  5 -> 6 [size =\"14757888\"]\n  5 -> 7 [size =\"14757888\"]\n  5 -> 10 [size =\"14757888\"]\n  6 [size=\"52894720\", alpha=\"0.19\", expect_size=\"21157888\"] \n  6 -> 12 [size =\"21157888\"]\n  6 -> 13 [size =\"21157888\"]\n  6 -> 17 [size =\"21157888\"]\n  7 [size=\"94753280\", alpha=\"0.19\", expect_size=\"37901312\"] \n  7 -> 12 [size =\"37901312\"]\n  8 [size=\"14684160\", alpha=\"0.07\", expect_size=\"5873664\"] \n  8 -> 12 [size =\"5873664\"]\n  8 -> 14 [size =\"5873664\"]\n  8 -> 17 [size =\"5873664\"]\n  9 [size=\"96097280\", alpha=\"0.14\", expect_size=\"38438912\"] \n  9 -> 15 [size =\"38438912\"]\n  9 -> 17 [size =\"38438912\"]\n  10 [size=\"17669120\", alpha=\"0.15\", expect_size=\"7067648\"] \n  10 -> 15 [size =\"7067648\"]\n  10 -> 16 [size =\"7067648\"]\n  10 -> 17 [size =\"7067648\"]\n  11 [size=\"126919680\", alpha=\"0.13\", expect_size=\"50767872\"] \n  11 -> 12 [size =\"50767872\"]\n  11 -> 16 [size =\"50767872\"]\n  12 [size=\"69094400\", alpha=\"0.09\", expect_size=\"27637760\"] \n  12 -> 22 [size =\"27637760\"]\n  13 [size=\"93278720\", alpha=\"0.11\", expect_size=\"37311488\"] \n  13 -> 19 [size =\"37311488\"]\n  13 -> 20 [size =\"37311488\"]\n  13 -> 21 [size =\"37311488\"]\n  13 -> 22 [size =\"37311488\"]\n  14 [size=\"15703040\", alpha=\"0.05\", expect_size=\"6281216\"] \n  14 -> 22 [size =\"6281216\"]\n  15 [size=\"86336000\", alpha=\"0.16\", expect_size=\"34534400\"] \n  15 -> 18 [size =\"34534400\"]\n  15 -> 21 [size =\"34534400\"]\n  15 -> 22 [size =\"34534400\"]\n  16 [size=\"60267520\", alpha=\"0.13\", expect_size=\"24107008\"] \n  16 -> 18 [size =\"24107008\"]\n  16 -> 20 [size =\"24107008\"]\n  16 -> 21 [size =\"24107008\"]\n  17 [size=\"52892160\", alpha=\"0.06\", expect_size=\"21156864\"] \n  17 -> 18 [size =\"21156864\"]\n  17 -> 20 [size =\"21156864\"]\n  17 -> 21 [size =\"21156864\"]\n  18 [size=\"44200960\", alpha=\"0.01\", expect_size=\"17680384\"] \n  18 -> 23 [size =\"17680384\"]\n  18 -> 25 [size =\"17680384\"]\n  19 [size=\"87710720\", alpha=\"0.07\", expect_size=\"35084288\"] \n  19 -> 23 [size =\"35084288\"]\n  20 [size=\"50859520\", alpha=\"0.14\", expect_size=\"20343808\"] \n  20 -> 24 [size =\"20343808\"]\n  20 -> 26 [size =\"20343808\"]\n  21 [size=\"23861760\", alpha=\"0.10\", expect_size=\"9544704\"] \n  21 -> 24 [size =\"9544704\"]\n  21 -> 25 [size =\"9544704\"]\n  22 [size=\"97722880\", alpha=\"0.16\", expect_size=\"39089152\"] \n  22 -> 25 [size =\"39089152\"]\n  22 -> 26 [size =\"39089152\"]\n  22 -> 27 [size =\"39089152\"]\n  23 [size=\"33195520\", alpha=\"0.01\", expect_size=\"13278208\"] \n  23 -> 30 [size =\"13278208\"]\n  23 -> 31 [size =\"13278208\"]\n  24 [size=\"97047040\", alpha=\"0.01\", expect_size=\"38818816\"] \n  24 -> 29 [size =\"38818816\"]\n  24 -> 30 [size =\"38818816\"]\n  25 [size=\"123924480\", alpha=\"0.05\", expect_size=\"49569792\"] \n  25 -> 28 [size =\"49569792\"]\n  25 -> 30 [size =\"49569792\"]\n  26 [size=\"99264000\", alpha=\"0.15\", expect_size=\"39705600\"] \n  26 -> 28 [size =\"39705600\"]\n  26 -> 29 [size =\"39705600\"]\n  27 [size=\"58675200\", alpha=\"0.20\", expect_size=\"23470080\"] \n  27 -> 28 [size =\"23470080\"]\n  28 [size=\"91404800\", alpha=\"0.05\", expect_size=\"36561920\"] \n  29 [size=\"94627840\", alpha=\"0.04\", expect_size=\"37851136\"] \n  29 -> 32 [size =\"37851136\"]\n  30 [size=\"15815680\", alpha=\"0.03\", expect_size=\"6326272\"] \n  30 -> 33 [size =\"6326272\"]\n  30 -> 34 [size =\"6326272\"]\n  30 -> 35 [size =\"6326272\"]\n  31 [size=\"99619840\", alpha=\"0.02\", expect_size=\"39847936\"] \n  32 [size=\"38407680\", alpha=\"0.11\", expect_size=\"15363072\"] \n  32 -> 37 [size =\"15363072\"]\n  32 -> 39 [size =\"15363072\"]\n  32 -> 40 [size =\"15363072\"]\n  33 [size=\"17290240\", alpha=\"0.13\", expect_size=\"6916096\"] \n  33 -> 37 [size =\"6916096\"]\n  33 -> 38 [size =\"6916096\"]\n  34 [size=\"21570560\", alpha=\"0.15\", expect_size=\"8628224\"] \n  34 -> 36 [size =\"8628224\"]\n  34 -> 39 [size =\"8628224\"]\n  35 [size=\"25512960\", alpha=\"0.10\", expect_size=\"10205184\"] \n  35 -> 36 [size =\"10205184\"]\n  35 -> 37 [size =\"10205184\"]\n  35 -> 39 [size =\"10205184\"]\n  36 [size=\"52912640\", alpha=\"0.13\", expect_size=\"21165056\"] \n  37 [size=\"25589760\", alpha=\"0.03\", expect_size=\"10235904\"] \n  38 [size=\"25192960\", alpha=\"0.18\", expect_size=\"10077184\"] \n  39 [size=\"53299200\", alpha=\"0.05\", expect_size=\"21319680\"] \n  40 [size=\"74938880\", alpha=\"0.19\", expect_size=\"29975552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56486400\", alpha=\"0.18\", expect_size=\"22594560\"] \n  1 -> 2 [size =\"22594560\"]\n  2 [size=\"88834560\", alpha=\"0.07\", expect_size=\"35533824\"] \n  2 -> 3 [size =\"35533824\"]\n  3 [size=\"111060480\", alpha=\"0.07\", expect_size=\"44424192\"] \n  3 -> 4 [size =\"44424192\"]\n  4 [size=\"34652160\", alpha=\"0.19\", expect_size=\"13860864\"] \n  4 -> 5 [size =\"13860864\"]\n  5 [size=\"62909440\", alpha=\"0.01\", expect_size=\"25163776\"] \n  5 -> 6 [size =\"25163776\"]\n  6 [size=\"115358720\", alpha=\"0.17\", expect_size=\"46143488\"] \n  6 -> 7 [size =\"46143488\"]\n  7 [size=\"56156160\", alpha=\"0.17\", expect_size=\"22462464\"] \n  7 -> 8 [size =\"22462464\"]\n  8 [size=\"73093120\", alpha=\"0.20\", expect_size=\"29237248\"] \n  8 -> 9 [size =\"29237248\"]\n  9 [size=\"22663680\", alpha=\"0.16\", expect_size=\"9065472\"] \n  9 -> 10 [size =\"9065472\"]\n  10 [size=\"61795840\", alpha=\"0.07\", expect_size=\"24718336\"] \n  10 -> 11 [size =\"24718336\"]\n  11 [size=\"31380480\", alpha=\"0.15\", expect_size=\"12552192\"] \n  11 -> 12 [size =\"12552192\"]\n  12 [size=\"22366720\", alpha=\"0.16\", expect_size=\"8946688\"] \n  12 -> 13 [size =\"8946688\"]\n  13 [size=\"65932800\", alpha=\"0.07\", expect_size=\"26373120\"] \n  13 -> 14 [size =\"26373120\"]\n  14 [size=\"109304320\", alpha=\"0.12\", expect_size=\"43721728\"] \n  14 -> 15 [size =\"43721728\"]\n  15 [size=\"105512960\", alpha=\"0.02\", expect_size=\"42205184\"] \n  15 -> 16 [size =\"42205184\"]\n  16 [size=\"112903680\", alpha=\"0.14\", expect_size=\"45161472\"] \n  16 -> 17 [size =\"45161472\"]\n  17 [size=\"94755840\", alpha=\"0.00\", expect_size=\"37902336\"] \n  17 -> 18 [size =\"37902336\"]\n  18 [size=\"76106240\", alpha=\"0.19\", expect_size=\"30442496\"] \n  18 -> 19 [size =\"30442496\"]\n  19 [size=\"74439680\", alpha=\"0.08\", expect_size=\"29775872\"] \n  19 -> 20 [size =\"29775872\"]\n  20 [size=\"48962560\", alpha=\"0.11\", expect_size=\"19585024\"] \n  20 -> 21 [size =\"19585024\"]\n  21 [size=\"89436160\", alpha=\"0.02\", expect_size=\"35774464\"] \n  21 -> 22 [size =\"35774464\"]\n  22 [size=\"57379840\", alpha=\"0.05\", expect_size=\"22951936\"] \n  22 -> 23 [size =\"22951936\"]\n  23 [size=\"34403840\", alpha=\"0.05\", expect_size=\"13761536\"] \n  23 -> 24 [size =\"13761536\"]\n  24 [size=\"76042240\", alpha=\"0.08\", expect_size=\"30416896\"] \n  24 -> 25 [size =\"30416896\"]\n  25 [size=\"31050240\", alpha=\"0.00\", expect_size=\"12420096\"] \n  25 -> 26 [size =\"12420096\"]\n  26 [size=\"45176320\", alpha=\"0.09\", expect_size=\"18070528\"] \n  26 -> 27 [size =\"18070528\"]\n  27 [size=\"125104640\", alpha=\"0.06\", expect_size=\"50041856\"] \n  27 -> 28 [size =\"50041856\"]\n  28 [size=\"127088640\", alpha=\"0.13\", expect_size=\"50835456\"] \n  28 -> 29 [size =\"50835456\"]\n  29 [size=\"118863360\", alpha=\"0.01\", expect_size=\"47545344\"] \n  29 -> 30 [size =\"47545344\"]\n  30 [size=\"49320960\", alpha=\"0.17\", expect_size=\"19728384\"] \n  30 -> 31 [size =\"19728384\"]\n  31 [size=\"115550720\", alpha=\"0.17\", expect_size=\"46220288\"] \n  31 -> 32 [size =\"46220288\"]\n  32 [size=\"124999680\", alpha=\"0.18\", expect_size=\"49999872\"] \n  32 -> 33 [size =\"49999872\"]\n  33 [size=\"35432960\", alpha=\"0.09\", expect_size=\"14173184\"] \n  33 -> 34 [size =\"14173184\"]\n  34 [size=\"62771200\", alpha=\"0.15\", expect_size=\"25108480\"] \n  34 -> 35 [size =\"25108480\"]\n  35 [size=\"110594560\", alpha=\"0.17\", expect_size=\"44237824\"] \n  35 -> 36 [size =\"44237824\"]\n  36 [size=\"110740480\", alpha=\"0.17\", expect_size=\"44296192\"] \n  36 -> 37 [size =\"44296192\"]\n  37 [size=\"47495680\", alpha=\"0.09\", expect_size=\"18998272\"] \n  37 -> 38 [size =\"18998272\"]\n  38 [size=\"81879040\", alpha=\"0.13\", expect_size=\"32751616\"] \n  38 -> 39 [size =\"32751616\"]\n  39 [size=\"37949440\", alpha=\"0.07\", expect_size=\"15179776\"] \n  39 -> 40 [size =\"15179776\"]\n  40 [size=\"43223040\", alpha=\"0.07\", expect_size=\"17289216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98150400\", alpha=\"0.11\", expect_size=\"29445120\"] \n  1 -> 5 [size =\"29445120\"]\n  1 -> 6 [size =\"29445120\"]\n  1 -> 7 [size =\"29445120\"]\n  1 -> 10 [size =\"29445120\"]\n  2 [size=\"81073493\", alpha=\"0.06\", expect_size=\"24322048\"] \n  2 -> 5 [size =\"24322048\"]\n  2 -> 6 [size =\"24322048\"]\n  2 -> 7 [size =\"24322048\"]\n  2 -> 8 [size =\"24322048\"]\n  3 [size=\"75960320\", alpha=\"0.04\", expect_size=\"22788096\"] \n  3 -> 5 [size =\"22788096\"]\n  3 -> 6 [size =\"22788096\"]\n  3 -> 7 [size =\"22788096\"]\n  3 -> 8 [size =\"22788096\"]\n  4 [size=\"68747947\", alpha=\"0.19\", expect_size=\"20624384\"] \n  4 -> 5 [size =\"20624384\"]\n  4 -> 6 [size =\"20624384\"]\n  4 -> 7 [size =\"20624384\"]\n  4 -> 8 [size =\"20624384\"]\n  4 -> 9 [size =\"20624384\"]\n  5 [size=\"74844160\", alpha=\"0.04\", expect_size=\"22453248\"] \n  5 -> 11 [size =\"22453248\"]\n  5 -> 13 [size =\"22453248\"]\n  6 [size=\"33413120\", alpha=\"0.09\", expect_size=\"10023936\"] \n  6 -> 11 [size =\"10023936\"]\n  6 -> 13 [size =\"10023936\"]\n  7 [size=\"39123627\", alpha=\"0.13\", expect_size=\"11737088\"] \n  7 -> 12 [size =\"11737088\"]\n  7 -> 13 [size =\"11737088\"]\n  8 [size=\"44561067\", alpha=\"0.16\", expect_size=\"13368320\"] \n  8 -> 11 [size =\"13368320\"]\n  8 -> 12 [size =\"13368320\"]\n  8 -> 13 [size =\"13368320\"]\n  8 -> 14 [size =\"13368320\"]\n  9 [size=\"126767787\", alpha=\"0.06\", expect_size=\"38030336\"] \n  9 -> 12 [size =\"38030336\"]\n  9 -> 12 [size =\"38030336\"]\n  9 -> 13 [size =\"38030336\"]\n  10 [size=\"81326080\", alpha=\"0.12\", expect_size=\"24397824\"] \n  10 -> 11 [size =\"24397824\"]\n  10 -> 12 [size =\"24397824\"]\n  10 -> 13 [size =\"24397824\"]\n  11 [size=\"85405013\", alpha=\"0.13\", expect_size=\"25621504\"] \n  11 -> 15 [size =\"25621504\"]\n  11 -> 17 [size =\"25621504\"]\n  11 -> 18 [size =\"25621504\"]\n  12 [size=\"170468693\", alpha=\"0.16\", expect_size=\"51140608\"] \n  12 -> 18 [size =\"51140608\"]\n  12 -> 19 [size =\"51140608\"]\n  13 [size=\"64061440\", alpha=\"0.17\", expect_size=\"19218432\"] \n  13 -> 15 [size =\"19218432\"]\n  13 -> 17 [size =\"19218432\"]\n  13 -> 18 [size =\"19218432\"]\n  13 -> 19 [size =\"19218432\"]\n  14 [size=\"99300693\", alpha=\"0.08\", expect_size=\"29790208\"] \n  14 -> 15 [size =\"29790208\"]\n  14 -> 16 [size =\"29790208\"]\n  14 -> 18 [size =\"29790208\"]\n  15 [size=\"90678613\", alpha=\"0.12\", expect_size=\"27203584\"] \n  15 -> 20 [size =\"27203584\"]\n  15 -> 21 [size =\"27203584\"]\n  15 -> 22 [size =\"27203584\"]\n  16 [size=\"124119040\", alpha=\"0.20\", expect_size=\"37235712\"] \n  16 -> 20 [size =\"37235712\"]\n  16 -> 21 [size =\"37235712\"]\n  16 -> 22 [size =\"37235712\"]\n  16 -> 24 [size =\"37235712\"]\n  17 [size=\"34522453\", alpha=\"0.11\", expect_size=\"10356736\"] \n  17 -> 20 [size =\"10356736\"]\n  17 -> 22 [size =\"10356736\"]\n  17 -> 22 [size =\"10356736\"]\n  17 -> 23 [size =\"10356736\"]\n  17 -> 25 [size =\"10356736\"]\n  18 [size=\"137267200\", alpha=\"0.01\", expect_size=\"41180160\"] \n  18 -> 23 [size =\"41180160\"]\n  18 -> 24 [size =\"41180160\"]\n  19 [size=\"109192533\", alpha=\"0.15\", expect_size=\"32757760\"] \n  19 -> 21 [size =\"32757760\"]\n  19 -> 22 [size =\"32757760\"]\n  19 -> 24 [size =\"32757760\"]\n  19 -> 25 [size =\"32757760\"]\n  20 [size=\"155002880\", alpha=\"0.20\", expect_size=\"46500864\"] \n  20 -> 27 [size =\"46500864\"]\n  20 -> 31 [size =\"46500864\"]\n  21 [size=\"93607253\", alpha=\"0.14\", expect_size=\"28082176\"] \n  21 -> 27 [size =\"28082176\"]\n  21 -> 28 [size =\"28082176\"]\n  21 -> 31 [size =\"28082176\"]\n  22 [size=\"38423893\", alpha=\"0.17\", expect_size=\"11527168\"] \n  22 -> 28 [size =\"11527168\"]\n  22 -> 28 [size =\"11527168\"]\n  23 [size=\"163710293\", alpha=\"0.07\", expect_size=\"49113088\"] \n  23 -> 28 [size =\"49113088\"]\n  23 -> 31 [size =\"49113088\"]\n  24 [size=\"136209067\", alpha=\"0.04\", expect_size=\"40862720\"] \n  24 -> 26 [size =\"40862720\"]\n  24 -> 28 [size =\"40862720\"]\n  24 -> 31 [size =\"40862720\"]\n  25 [size=\"45445120\", alpha=\"0.08\", expect_size=\"13633536\"] \n  25 -> 26 [size =\"13633536\"]\n  25 -> 28 [size =\"13633536\"]\n  25 -> 29 [size =\"13633536\"]\n  25 -> 30 [size =\"13633536\"]\n  25 -> 31 [size =\"13633536\"]\n  26 [size=\"143523840\", alpha=\"0.14\", expect_size=\"43057152\"] \n  26 -> 36 [size =\"43057152\"]\n  27 [size=\"140642987\", alpha=\"0.02\", expect_size=\"42192896\"] \n  27 -> 33 [size =\"42192896\"]\n  27 -> 36 [size =\"42192896\"]\n  28 [size=\"67300693\", alpha=\"0.15\", expect_size=\"20190208\"] \n  28 -> 33 [size =\"20190208\"]\n  29 [size=\"76974080\", alpha=\"0.01\", expect_size=\"23092224\"] \n  29 -> 34 [size =\"23092224\"]\n  30 [size=\"38690133\", alpha=\"0.15\", expect_size=\"11607040\"] \n  30 -> 32 [size =\"11607040\"]\n  30 -> 33 [size =\"11607040\"]\n  30 -> 35 [size =\"11607040\"]\n  30 -> 36 [size =\"11607040\"]\n  31 [size=\"34870613\", alpha=\"0.18\", expect_size=\"10461184\"] \n  31 -> 33 [size =\"10461184\"]\n  31 -> 33 [size =\"10461184\"]\n  31 -> 35 [size =\"10461184\"]\n  31 -> 36 [size =\"10461184\"]\n  32 [size=\"146186240\", alpha=\"0.00\", expect_size=\"43855872\"] \n  32 -> 37 [size =\"43855872\"]\n  32 -> 39 [size =\"43855872\"]\n  32 -> 40 [size =\"43855872\"]\n  33 [size=\"121664853\", alpha=\"0.08\", expect_size=\"36499456\"] \n  33 -> 40 [size =\"36499456\"]\n  34 [size=\"19793920\", alpha=\"0.07\", expect_size=\"5938176\"] \n  34 -> 38 [size =\"5938176\"]\n  34 -> 40 [size =\"5938176\"]\n  35 [size=\"49131520\", alpha=\"0.15\", expect_size=\"14739456\"] \n  35 -> 38 [size =\"14739456\"]\n  35 -> 39 [size =\"14739456\"]\n  35 -> 40 [size =\"14739456\"]\n  36 [size=\"109765973\", alpha=\"0.17\", expect_size=\"32929792\"] \n  36 -> 37 [size =\"32929792\"]\n  36 -> 38 [size =\"32929792\"]\n  36 -> 39 [size =\"32929792\"]\n  37 [size=\"60344320\", alpha=\"0.00\", expect_size=\"18103296\"] \n  38 [size=\"79807147\", alpha=\"0.19\", expect_size=\"23942144\"] \n  39 [size=\"37956267\", alpha=\"0.10\", expect_size=\"11386880\"] \n  40 [size=\"44083200\", alpha=\"0.18\", expect_size=\"13224960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36202496\", alpha=\"0.12\", expect_size=\"18101248\"] \n  1 -> 36 [size =\"18101248\"]\n  1 -> 36 [size =\"18101248\"]\n  1 -> 39 [size =\"18101248\"]\n  1 -> 40 [size =\"18101248\"]\n  2 [size=\"54441984\", alpha=\"0.02\", expect_size=\"27220992\"] \n  2 -> 36 [size =\"27220992\"]\n  2 -> 37 [size =\"27220992\"]\n  2 -> 38 [size =\"27220992\"]\n  2 -> 39 [size =\"27220992\"]\n  2 -> 40 [size =\"27220992\"]\n  3 [size=\"22226944\", alpha=\"0.01\", expect_size=\"11113472\"] \n  3 -> 36 [size =\"11113472\"]\n  3 -> 39 [size =\"11113472\"]\n  4 [size=\"79292416\", alpha=\"0.09\", expect_size=\"39646208\"] \n  4 -> 34 [size =\"39646208\"]\n  4 -> 38 [size =\"39646208\"]\n  4 -> 39 [size =\"39646208\"]\n  5 [size=\"44136448\", alpha=\"0.02\", expect_size=\"22068224\"] \n  5 -> 34 [size =\"22068224\"]\n  5 -> 36 [size =\"22068224\"]\n  5 -> 37 [size =\"22068224\"]\n  5 -> 40 [size =\"22068224\"]\n  6 [size=\"91334656\", alpha=\"0.05\", expect_size=\"45667328\"] \n  6 -> 36 [size =\"45667328\"]\n  6 -> 37 [size =\"45667328\"]\n  7 [size=\"11657216\", alpha=\"0.12\", expect_size=\"5828608\"] \n  8 [size=\"90454016\", alpha=\"0.08\", expect_size=\"45227008\"] \n  8 -> 34 [size =\"45227008\"]\n  9 [size=\"16330752\", alpha=\"0.07\", expect_size=\"8165376\"] \n  9 -> 34 [size =\"8165376\"]\n  9 -> 36 [size =\"8165376\"]\n  9 -> 37 [size =\"8165376\"]\n  9 -> 39 [size =\"8165376\"]\n  10 [size=\"86517760\", alpha=\"0.04\", expect_size=\"43258880\"] \n  10 -> 34 [size =\"43258880\"]\n  10 -> 36 [size =\"43258880\"]\n  11 [size=\"72347648\", alpha=\"0.17\", expect_size=\"36173824\"] \n  11 -> 34 [size =\"36173824\"]\n  12 [size=\"32727040\", alpha=\"0.17\", expect_size=\"16363520\"] \n  12 -> 34 [size =\"16363520\"]\n  12 -> 36 [size =\"16363520\"]\n  12 -> 39 [size =\"16363520\"]\n  12 -> 40 [size =\"16363520\"]\n  13 [size=\"43759616\", alpha=\"0.11\", expect_size=\"21879808\"] \n  13 -> 35 [size =\"21879808\"]\n  13 -> 36 [size =\"21879808\"]\n  13 -> 39 [size =\"21879808\"]\n  13 -> 40 [size =\"21879808\"]\n  14 [size=\"49471488\", alpha=\"0.00\", expect_size=\"24735744\"] \n  14 -> 34 [size =\"24735744\"]\n  14 -> 36 [size =\"24735744\"]\n  14 -> 37 [size =\"24735744\"]\n  14 -> 38 [size =\"24735744\"]\n  14 -> 39 [size =\"24735744\"]\n  14 -> 40 [size =\"24735744\"]\n  15 [size=\"89815040\", alpha=\"0.09\", expect_size=\"44907520\"] \n  15 -> 36 [size =\"44907520\"]\n  15 -> 36 [size =\"44907520\"]\n  15 -> 37 [size =\"44907520\"]\n  15 -> 39 [size =\"44907520\"]\n  15 -> 40 [size =\"44907520\"]\n  15 -> 40 [size =\"44907520\"]\n  16 [size=\"98052096\", alpha=\"0.09\", expect_size=\"49026048\"] \n  16 -> 34 [size =\"49026048\"]\n  16 -> 36 [size =\"49026048\"]\n  16 -> 38 [size =\"49026048\"]\n  16 -> 40 [size =\"49026048\"]\n  17 [size=\"28997632\", alpha=\"0.05\", expect_size=\"14498816\"] \n  17 -> 36 [size =\"14498816\"]\n  17 -> 36 [size =\"14498816\"]\n  17 -> 37 [size =\"14498816\"]\n  17 -> 39 [size =\"14498816\"]\n  17 -> 40 [size =\"14498816\"]\n  18 [size=\"87205888\", alpha=\"0.01\", expect_size=\"43602944\"] \n  18 -> 36 [size =\"43602944\"]\n  18 -> 38 [size =\"43602944\"]\n  18 -> 39 [size =\"43602944\"]\n  18 -> 40 [size =\"43602944\"]\n  18 -> 40 [size =\"43602944\"]\n  19 [size=\"29302784\", alpha=\"0.10\", expect_size=\"14651392\"] \n  19 -> 34 [size =\"14651392\"]\n  19 -> 36 [size =\"14651392\"]\n  19 -> 37 [size =\"14651392\"]\n  19 -> 38 [size =\"14651392\"]\n  19 -> 40 [size =\"14651392\"]\n  20 [size=\"60850176\", alpha=\"0.05\", expect_size=\"30425088\"] \n  20 -> 36 [size =\"30425088\"]\n  20 -> 39 [size =\"30425088\"]\n  21 [size=\"81371136\", alpha=\"0.05\", expect_size=\"40685568\"] \n  21 -> 34 [size =\"40685568\"]\n  21 -> 36 [size =\"40685568\"]\n  21 -> 37 [size =\"40685568\"]\n  21 -> 38 [size =\"40685568\"]\n  21 -> 39 [size =\"40685568\"]\n  21 -> 40 [size =\"40685568\"]\n  22 [size=\"64868352\", alpha=\"0.15\", expect_size=\"32434176\"] \n  22 -> 36 [size =\"32434176\"]\n  22 -> 37 [size =\"32434176\"]\n  22 -> 38 [size =\"32434176\"]\n  22 -> 40 [size =\"32434176\"]\n  23 [size=\"51918848\", alpha=\"0.08\", expect_size=\"25959424\"] \n  23 -> 34 [size =\"25959424\"]\n  23 -> 39 [size =\"25959424\"]\n  23 -> 40 [size =\"25959424\"]\n  24 [size=\"11180032\", alpha=\"0.14\", expect_size=\"5590016\"] \n  24 -> 36 [size =\"5590016\"]\n  24 -> 37 [size =\"5590016\"]\n  24 -> 38 [size =\"5590016\"]\n  24 -> 39 [size =\"5590016\"]\n  25 [size=\"12544000\", alpha=\"0.08\", expect_size=\"6272000\"] \n  25 -> 39 [size =\"6272000\"]\n  26 [size=\"55760896\", alpha=\"0.20\", expect_size=\"27880448\"] \n  26 -> 34 [size =\"27880448\"]\n  26 -> 36 [size =\"27880448\"]\n  27 [size=\"97021952\", alpha=\"0.11\", expect_size=\"48510976\"] \n  27 -> 34 [size =\"48510976\"]\n  27 -> 38 [size =\"48510976\"]\n  27 -> 39 [size =\"48510976\"]\n  28 [size=\"25384960\", alpha=\"0.19\", expect_size=\"12692480\"] \n  28 -> 34 [size =\"12692480\"]\n  28 -> 36 [size =\"12692480\"]\n  28 -> 39 [size =\"12692480\"]\n  29 [size=\"30326784\", alpha=\"0.09\", expect_size=\"15163392\"] \n  29 -> 34 [size =\"15163392\"]\n  29 -> 36 [size =\"15163392\"]\n  29 -> 38 [size =\"15163392\"]\n  29 -> 39 [size =\"15163392\"]\n  30 [size=\"76490752\", alpha=\"0.15\", expect_size=\"38245376\"] \n  30 -> 34 [size =\"38245376\"]\n  30 -> 36 [size =\"38245376\"]\n  30 -> 37 [size =\"38245376\"]\n  30 -> 40 [size =\"38245376\"]\n  31 [size=\"99383296\", alpha=\"0.14\", expect_size=\"49691648\"] \n  31 -> 34 [size =\"49691648\"]\n  31 -> 36 [size =\"49691648\"]\n  31 -> 40 [size =\"49691648\"]\n  32 [size=\"30347264\", alpha=\"0.17\", expect_size=\"15173632\"] \n  32 -> 34 [size =\"15173632\"]\n  32 -> 36 [size =\"15173632\"]\n  32 -> 39 [size =\"15173632\"]\n  33 [size=\"102084608\", alpha=\"0.08\", expect_size=\"51042304\"] \n  33 -> 34 [size =\"51042304\"]\n  33 -> 36 [size =\"51042304\"]\n  33 -> 39 [size =\"51042304\"]\n  33 -> 40 [size =\"51042304\"]\n  34 [size=\"43225088\", alpha=\"0.07\", expect_size=\"21612544\"] \n  35 [size=\"16943104\", alpha=\"0.02\", expect_size=\"8471552\"] \n  36 [size=\"56895488\", alpha=\"0.16\", expect_size=\"28447744\"] \n  37 [size=\"55187456\", alpha=\"0.15\", expect_size=\"27593728\"] \n  38 [size=\"12986368\", alpha=\"0.09\", expect_size=\"6493184\"] \n  39 [size=\"104636416\", alpha=\"0.07\", expect_size=\"52318208\"] \n  40 [size=\"52869120\", alpha=\"0.16\", expect_size=\"26434560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124270080\", alpha=\"0.17\", expect_size=\"49708032\"] \n  1 -> 4 [size =\"49708032\"]\n  1 -> 5 [size =\"49708032\"]\n  1 -> 6 [size =\"49708032\"]\n  2 [size=\"81802240\", alpha=\"0.18\", expect_size=\"32720896\"] \n  2 -> 6 [size =\"32720896\"]\n  3 [size=\"14412800\", alpha=\"0.05\", expect_size=\"5765120\"] \n  3 -> 4 [size =\"5765120\"]\n  4 [size=\"111211520\", alpha=\"0.06\", expect_size=\"44484608\"] \n  4 -> 7 [size =\"44484608\"]\n  4 -> 8 [size =\"44484608\"]\n  4 -> 9 [size =\"44484608\"]\n  5 [size=\"13524480\", alpha=\"0.19\", expect_size=\"5409792\"] \n  5 -> 7 [size =\"5409792\"]\n  5 -> 8 [size =\"5409792\"]\n  6 [size=\"83955200\", alpha=\"0.17\", expect_size=\"33582080\"] \n  6 -> 9 [size =\"33582080\"]\n  7 [size=\"53816320\", alpha=\"0.05\", expect_size=\"21526528\"] \n  7 -> 10 [size =\"21526528\"]\n  7 -> 12 [size =\"21526528\"]\n  8 [size=\"83980800\", alpha=\"0.20\", expect_size=\"33592320\"] \n  8 -> 10 [size =\"33592320\"]\n  9 [size=\"68677120\", alpha=\"0.11\", expect_size=\"27470848\"] \n  9 -> 11 [size =\"27470848\"]\n  10 [size=\"97377280\", alpha=\"0.17\", expect_size=\"38950912\"] \n  11 [size=\"21447680\", alpha=\"0.15\", expect_size=\"8579072\"] \n  11 -> 13 [size =\"8579072\"]\n  11 -> 14 [size =\"8579072\"]\n  12 [size=\"122693120\", alpha=\"0.08\", expect_size=\"49077248\"] \n  12 -> 13 [size =\"49077248\"]\n  13 [size=\"111298560\", alpha=\"0.09\", expect_size=\"44519424\"] \n  13 -> 15 [size =\"44519424\"]\n  14 [size=\"24046080\", alpha=\"0.19\", expect_size=\"9618432\"] \n  14 -> 16 [size =\"9618432\"]\n  15 [size=\"61278720\", alpha=\"0.17\", expect_size=\"24511488\"] \n  15 -> 17 [size =\"24511488\"]\n  15 -> 18 [size =\"24511488\"]\n  16 [size=\"57845760\", alpha=\"0.09\", expect_size=\"23138304\"] \n  16 -> 18 [size =\"23138304\"]\n  17 [size=\"39662080\", alpha=\"0.10\", expect_size=\"15864832\"] \n  17 -> 20 [size =\"15864832\"]\n  17 -> 21 [size =\"15864832\"]\n  18 [size=\"69135360\", alpha=\"0.04\", expect_size=\"27654144\"] \n  18 -> 19 [size =\"27654144\"]\n  18 -> 20 [size =\"27654144\"]\n  18 -> 21 [size =\"27654144\"]\n  19 [size=\"66897920\", alpha=\"0.10\", expect_size=\"26759168\"] \n  19 -> 24 [size =\"26759168\"]\n  20 [size=\"129287680\", alpha=\"0.17\", expect_size=\"51715072\"] \n  20 -> 22 [size =\"51715072\"]\n  21 [size=\"113072640\", alpha=\"0.03\", expect_size=\"45229056\"] \n  21 -> 22 [size =\"45229056\"]\n  21 -> 23 [size =\"45229056\"]\n  21 -> 24 [size =\"45229056\"]\n  22 [size=\"82442240\", alpha=\"0.20\", expect_size=\"32976896\"] \n  22 -> 25 [size =\"32976896\"]\n  23 [size=\"128266240\", alpha=\"0.17\", expect_size=\"51306496\"] \n  23 -> 26 [size =\"51306496\"]\n  23 -> 27 [size =\"51306496\"]\n  24 [size=\"65402880\", alpha=\"0.11\", expect_size=\"26161152\"] \n  24 -> 25 [size =\"26161152\"]\n  24 -> 27 [size =\"26161152\"]\n  25 [size=\"57771520\", alpha=\"0.05\", expect_size=\"23108608\"] \n  25 -> 28 [size =\"23108608\"]\n  25 -> 29 [size =\"23108608\"]\n  25 -> 30 [size =\"23108608\"]\n  26 [size=\"40381440\", alpha=\"0.11\", expect_size=\"16152576\"] \n  26 -> 28 [size =\"16152576\"]\n  26 -> 29 [size =\"16152576\"]\n  26 -> 30 [size =\"16152576\"]\n  27 [size=\"92572160\", alpha=\"0.04\", expect_size=\"37028864\"] \n  27 -> 28 [size =\"37028864\"]\n  27 -> 29 [size =\"37028864\"]\n  27 -> 30 [size =\"37028864\"]\n  28 [size=\"30817280\", alpha=\"0.10\", expect_size=\"12326912\"] \n  28 -> 31 [size =\"12326912\"]\n  28 -> 32 [size =\"12326912\"]\n  28 -> 33 [size =\"12326912\"]\n  29 [size=\"55905280\", alpha=\"0.04\", expect_size=\"22362112\"] \n  29 -> 33 [size =\"22362112\"]\n  30 [size=\"117539840\", alpha=\"0.13\", expect_size=\"47015936\"] \n  30 -> 31 [size =\"47015936\"]\n  31 [size=\"100613120\", alpha=\"0.03\", expect_size=\"40245248\"] \n  31 -> 34 [size =\"40245248\"]\n  32 [size=\"116285440\", alpha=\"0.12\", expect_size=\"46514176\"] \n  33 [size=\"115292160\", alpha=\"0.17\", expect_size=\"46116864\"] \n  33 -> 35 [size =\"46116864\"]\n  34 [size=\"98936320\", alpha=\"0.04\", expect_size=\"39574528\"] \n  35 [size=\"47362560\", alpha=\"0.20\", expect_size=\"18945024\"] \n  35 -> 36 [size =\"18945024\"]\n  35 -> 37 [size =\"18945024\"]\n  36 [size=\"78950400\", alpha=\"0.03\", expect_size=\"31580160\"] \n  36 -> 38 [size =\"31580160\"]\n  37 [size=\"28623360\", alpha=\"0.10\", expect_size=\"11449344\"] \n  37 -> 38 [size =\"11449344\"]\n  37 -> 39 [size =\"11449344\"]\n  38 [size=\"55055360\", alpha=\"0.07\", expect_size=\"22022144\"] \n  38 -> 40 [size =\"22022144\"]\n  39 [size=\"111157760\", alpha=\"0.13\", expect_size=\"44463104\"] \n  39 -> 40 [size =\"44463104\"]\n  40 [size=\"16573440\", alpha=\"0.19\", expect_size=\"6629376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84087467\", alpha=\"0.15\", expect_size=\"25226240\"] \n  1 -> 2 [size =\"25226240\"]\n  2 [size=\"170591573\", alpha=\"0.12\", expect_size=\"51177472\"] \n  2 -> 3 [size =\"51177472\"]\n  3 [size=\"136062293\", alpha=\"0.10\", expect_size=\"40818688\"] \n  3 -> 4 [size =\"40818688\"]\n  4 [size=\"96843093\", alpha=\"0.16\", expect_size=\"29052928\"] \n  4 -> 5 [size =\"29052928\"]\n  5 [size=\"99836587\", alpha=\"0.12\", expect_size=\"29950976\"] \n  5 -> 6 [size =\"29950976\"]\n  6 [size=\"135717547\", alpha=\"0.00\", expect_size=\"40715264\"] \n  6 -> 7 [size =\"40715264\"]\n  7 [size=\"169830400\", alpha=\"0.01\", expect_size=\"50949120\"] \n  7 -> 8 [size =\"50949120\"]\n  8 [size=\"125020160\", alpha=\"0.03\", expect_size=\"37506048\"] \n  8 -> 9 [size =\"37506048\"]\n  9 [size=\"156084907\", alpha=\"0.10\", expect_size=\"46825472\"] \n  9 -> 10 [size =\"46825472\"]\n  10 [size=\"84623360\", alpha=\"0.03\", expect_size=\"25387008\"] \n  10 -> 11 [size =\"25387008\"]\n  11 [size=\"67450880\", alpha=\"0.18\", expect_size=\"20235264\"] \n  11 -> 12 [size =\"20235264\"]\n  12 [size=\"30634667\", alpha=\"0.06\", expect_size=\"9190400\"] \n  12 -> 13 [size =\"9190400\"]\n  13 [size=\"122938027\", alpha=\"0.00\", expect_size=\"36881408\"] \n  13 -> 14 [size =\"36881408\"]\n  14 [size=\"43963733\", alpha=\"0.12\", expect_size=\"13189120\"] \n  14 -> 15 [size =\"13189120\"]\n  15 [size=\"169205760\", alpha=\"0.03\", expect_size=\"50761728\"] \n  15 -> 16 [size =\"50761728\"]\n  16 [size=\"110011733\", alpha=\"0.19\", expect_size=\"33003520\"] \n  16 -> 17 [size =\"33003520\"]\n  17 [size=\"112994987\", alpha=\"0.20\", expect_size=\"33898496\"] \n  17 -> 18 [size =\"33898496\"]\n  18 [size=\"124443307\", alpha=\"0.11\", expect_size=\"37332992\"] \n  18 -> 19 [size =\"37332992\"]\n  19 [size=\"144401067\", alpha=\"0.10\", expect_size=\"43320320\"] \n  19 -> 20 [size =\"43320320\"]\n  20 [size=\"64986453\", alpha=\"0.16\", expect_size=\"19495936\"] \n  20 -> 21 [size =\"19495936\"]\n  21 [size=\"89784320\", alpha=\"0.11\", expect_size=\"26935296\"] \n  21 -> 22 [size =\"26935296\"]\n  22 [size=\"76489387\", alpha=\"0.05\", expect_size=\"22946816\"] \n  22 -> 23 [size =\"22946816\"]\n  23 [size=\"124344320\", alpha=\"0.15\", expect_size=\"37303296\"] \n  23 -> 24 [size =\"37303296\"]\n  24 [size=\"124743680\", alpha=\"0.14\", expect_size=\"37423104\"] \n  24 -> 25 [size =\"37423104\"]\n  25 [size=\"63665493\", alpha=\"0.04\", expect_size=\"19099648\"] \n  25 -> 26 [size =\"19099648\"]\n  26 [size=\"86217387\", alpha=\"0.09\", expect_size=\"25865216\"] \n  26 -> 27 [size =\"25865216\"]\n  27 [size=\"81902933\", alpha=\"0.14\", expect_size=\"24570880\"] \n  27 -> 28 [size =\"24570880\"]\n  28 [size=\"81766400\", alpha=\"0.12\", expect_size=\"24529920\"] \n  28 -> 29 [size =\"24529920\"]\n  29 [size=\"166512640\", alpha=\"0.07\", expect_size=\"49953792\"] \n  29 -> 30 [size =\"49953792\"]\n  30 [size=\"84486827\", alpha=\"0.12\", expect_size=\"25346048\"] \n  30 -> 31 [size =\"25346048\"]\n  31 [size=\"52841813\", alpha=\"0.02\", expect_size=\"15852544\"] \n  31 -> 32 [size =\"15852544\"]\n  32 [size=\"138192213\", alpha=\"0.14\", expect_size=\"41457664\"] \n  32 -> 33 [size =\"41457664\"]\n  33 [size=\"21790720\", alpha=\"0.00\", expect_size=\"6537216\"] \n  33 -> 34 [size =\"6537216\"]\n  34 [size=\"136802987\", alpha=\"0.09\", expect_size=\"41040896\"] \n  34 -> 35 [size =\"41040896\"]\n  35 [size=\"90733227\", alpha=\"0.17\", expect_size=\"27219968\"] \n  35 -> 36 [size =\"27219968\"]\n  36 [size=\"123231573\", alpha=\"0.18\", expect_size=\"36969472\"] \n  36 -> 37 [size =\"36969472\"]\n  37 [size=\"37969920\", alpha=\"0.10\", expect_size=\"11390976\"] \n  37 -> 38 [size =\"11390976\"]\n  38 [size=\"144588800\", alpha=\"0.16\", expect_size=\"43376640\"] \n  38 -> 39 [size =\"43376640\"]\n  39 [size=\"78772907\", alpha=\"0.18\", expect_size=\"23631872\"] \n  39 -> 40 [size =\"23631872\"]\n  40 [size=\"136424107\", alpha=\"0.06\", expect_size=\"40927232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65554432\", alpha=\"0.04\", expect_size=\"32777216\"] \n  1 -> 28 [size =\"32777216\"]\n  1 -> 31 [size =\"32777216\"]\n  1 -> 33 [size =\"32777216\"]\n  1 -> 34 [size =\"32777216\"]\n  1 -> 36 [size =\"32777216\"]\n  1 -> 38 [size =\"32777216\"]\n  1 -> 40 [size =\"32777216\"]\n  2 [size=\"37365760\", alpha=\"0.18\", expect_size=\"18682880\"] \n  2 -> 28 [size =\"18682880\"]\n  2 -> 36 [size =\"18682880\"]\n  2 -> 39 [size =\"18682880\"]\n  3 [size=\"100161536\", alpha=\"0.12\", expect_size=\"50080768\"] \n  3 -> 28 [size =\"50080768\"]\n  3 -> 29 [size =\"50080768\"]\n  3 -> 32 [size =\"50080768\"]\n  3 -> 33 [size =\"50080768\"]\n  3 -> 36 [size =\"50080768\"]\n  3 -> 39 [size =\"50080768\"]\n  4 [size=\"75782144\", alpha=\"0.05\", expect_size=\"37891072\"] \n  4 -> 29 [size =\"37891072\"]\n  4 -> 32 [size =\"37891072\"]\n  4 -> 33 [size =\"37891072\"]\n  4 -> 34 [size =\"37891072\"]\n  4 -> 35 [size =\"37891072\"]\n  4 -> 36 [size =\"37891072\"]\n  4 -> 39 [size =\"37891072\"]\n  5 [size=\"85594112\", alpha=\"0.13\", expect_size=\"42797056\"] \n  5 -> 29 [size =\"42797056\"]\n  5 -> 32 [size =\"42797056\"]\n  5 -> 33 [size =\"42797056\"]\n  5 -> 36 [size =\"42797056\"]\n  5 -> 39 [size =\"42797056\"]\n  6 [size=\"98242560\", alpha=\"0.15\", expect_size=\"49121280\"] \n  6 -> 29 [size =\"49121280\"]\n  6 -> 32 [size =\"49121280\"]\n  6 -> 33 [size =\"49121280\"]\n  6 -> 34 [size =\"49121280\"]\n  6 -> 36 [size =\"49121280\"]\n  6 -> 39 [size =\"49121280\"]\n  7 [size=\"98412544\", alpha=\"0.06\", expect_size=\"49206272\"] \n  7 -> 29 [size =\"49206272\"]\n  7 -> 32 [size =\"49206272\"]\n  7 -> 34 [size =\"49206272\"]\n  7 -> 35 [size =\"49206272\"]\n  7 -> 36 [size =\"49206272\"]\n  7 -> 40 [size =\"49206272\"]\n  8 [size=\"62984192\", alpha=\"0.05\", expect_size=\"31492096\"] \n  8 -> 32 [size =\"31492096\"]\n  8 -> 35 [size =\"31492096\"]\n  8 -> 36 [size =\"31492096\"]\n  9 [size=\"85909504\", alpha=\"0.07\", expect_size=\"42954752\"] \n  9 -> 31 [size =\"42954752\"]\n  9 -> 33 [size =\"42954752\"]\n  9 -> 34 [size =\"42954752\"]\n  9 -> 35 [size =\"42954752\"]\n  9 -> 36 [size =\"42954752\"]\n  10 [size=\"73078784\", alpha=\"0.18\", expect_size=\"36539392\"] \n  10 -> 29 [size =\"36539392\"]\n  10 -> 31 [size =\"36539392\"]\n  10 -> 35 [size =\"36539392\"]\n  10 -> 40 [size =\"36539392\"]\n  11 [size=\"103600128\", alpha=\"0.08\", expect_size=\"51800064\"] \n  11 -> 29 [size =\"51800064\"]\n  11 -> 34 [size =\"51800064\"]\n  11 -> 35 [size =\"51800064\"]\n  11 -> 40 [size =\"51800064\"]\n  12 [size=\"26083328\", alpha=\"0.02\", expect_size=\"13041664\"] \n  12 -> 28 [size =\"13041664\"]\n  12 -> 29 [size =\"13041664\"]\n  12 -> 31 [size =\"13041664\"]\n  12 -> 32 [size =\"13041664\"]\n  12 -> 33 [size =\"13041664\"]\n  12 -> 34 [size =\"13041664\"]\n  12 -> 35 [size =\"13041664\"]\n  12 -> 36 [size =\"13041664\"]\n  13 [size=\"14788608\", alpha=\"0.07\", expect_size=\"7394304\"] \n  13 -> 29 [size =\"7394304\"]\n  13 -> 31 [size =\"7394304\"]\n  13 -> 33 [size =\"7394304\"]\n  13 -> 34 [size =\"7394304\"]\n  13 -> 35 [size =\"7394304\"]\n  13 -> 36 [size =\"7394304\"]\n  13 -> 39 [size =\"7394304\"]\n  13 -> 40 [size =\"7394304\"]\n  14 [size=\"72302592\", alpha=\"0.04\", expect_size=\"36151296\"] \n  14 -> 29 [size =\"36151296\"]\n  14 -> 31 [size =\"36151296\"]\n  14 -> 33 [size =\"36151296\"]\n  14 -> 35 [size =\"36151296\"]\n  14 -> 39 [size =\"36151296\"]\n  15 [size=\"93911040\", alpha=\"0.17\", expect_size=\"46955520\"] \n  15 -> 29 [size =\"46955520\"]\n  15 -> 31 [size =\"46955520\"]\n  15 -> 32 [size =\"46955520\"]\n  15 -> 33 [size =\"46955520\"]\n  15 -> 35 [size =\"46955520\"]\n  15 -> 36 [size =\"46955520\"]\n  15 -> 39 [size =\"46955520\"]\n  16 [size=\"62416896\", alpha=\"0.10\", expect_size=\"31208448\"] \n  16 -> 28 [size =\"31208448\"]\n  16 -> 29 [size =\"31208448\"]\n  16 -> 33 [size =\"31208448\"]\n  16 -> 36 [size =\"31208448\"]\n  16 -> 39 [size =\"31208448\"]\n  17 [size=\"36651008\", alpha=\"0.02\", expect_size=\"18325504\"] \n  17 -> 28 [size =\"18325504\"]\n  17 -> 29 [size =\"18325504\"]\n  17 -> 33 [size =\"18325504\"]\n  17 -> 36 [size =\"18325504\"]\n  17 -> 39 [size =\"18325504\"]\n  18 [size=\"66787328\", alpha=\"0.06\", expect_size=\"33393664\"] \n  18 -> 28 [size =\"33393664\"]\n  18 -> 29 [size =\"33393664\"]\n  18 -> 33 [size =\"33393664\"]\n  18 -> 34 [size =\"33393664\"]\n  18 -> 36 [size =\"33393664\"]\n  18 -> 39 [size =\"33393664\"]\n  19 [size=\"89964544\", alpha=\"0.18\", expect_size=\"44982272\"] \n  19 -> 29 [size =\"44982272\"]\n  19 -> 29 [size =\"44982272\"]\n  19 -> 30 [size =\"44982272\"]\n  19 -> 31 [size =\"44982272\"]\n  19 -> 32 [size =\"44982272\"]\n  19 -> 34 [size =\"44982272\"]\n  19 -> 35 [size =\"44982272\"]\n  19 -> 36 [size =\"44982272\"]\n  19 -> 39 [size =\"44982272\"]\n  20 [size=\"30507008\", alpha=\"0.16\", expect_size=\"15253504\"] \n  20 -> 29 [size =\"15253504\"]\n  20 -> 30 [size =\"15253504\"]\n  20 -> 31 [size =\"15253504\"]\n  20 -> 32 [size =\"15253504\"]\n  20 -> 33 [size =\"15253504\"]\n  20 -> 35 [size =\"15253504\"]\n  20 -> 36 [size =\"15253504\"]\n  20 -> 36 [size =\"15253504\"]\n  21 [size=\"21057536\", alpha=\"0.06\", expect_size=\"10528768\"] \n  21 -> 28 [size =\"10528768\"]\n  21 -> 29 [size =\"10528768\"]\n  21 -> 32 [size =\"10528768\"]\n  21 -> 32 [size =\"10528768\"]\n  21 -> 33 [size =\"10528768\"]\n  21 -> 35 [size =\"10528768\"]\n  21 -> 36 [size =\"10528768\"]\n  21 -> 37 [size =\"10528768\"]\n  22 [size=\"61075456\", alpha=\"0.02\", expect_size=\"30537728\"] \n  22 -> 28 [size =\"30537728\"]\n  22 -> 29 [size =\"30537728\"]\n  22 -> 30 [size =\"30537728\"]\n  22 -> 32 [size =\"30537728\"]\n  22 -> 34 [size =\"30537728\"]\n  22 -> 35 [size =\"30537728\"]\n  22 -> 36 [size =\"30537728\"]\n  22 -> 40 [size =\"30537728\"]\n  23 [size=\"72663040\", alpha=\"0.17\", expect_size=\"36331520\"] \n  23 -> 29 [size =\"36331520\"]\n  23 -> 33 [size =\"36331520\"]\n  23 -> 34 [size =\"36331520\"]\n  23 -> 35 [size =\"36331520\"]\n  23 -> 36 [size =\"36331520\"]\n  24 [size=\"103843840\", alpha=\"0.06\", expect_size=\"51921920\"] \n  24 -> 28 [size =\"51921920\"]\n  24 -> 31 [size =\"51921920\"]\n  24 -> 32 [size =\"51921920\"]\n  24 -> 33 [size =\"51921920\"]\n  24 -> 35 [size =\"51921920\"]\n  24 -> 36 [size =\"51921920\"]\n  25 [size=\"26198016\", alpha=\"0.11\", expect_size=\"13099008\"] \n  25 -> 28 [size =\"13099008\"]\n  25 -> 29 [size =\"13099008\"]\n  25 -> 31 [size =\"13099008\"]\n  25 -> 39 [size =\"13099008\"]\n  26 [size=\"13926400\", alpha=\"0.14\", expect_size=\"6963200\"] \n  26 -> 29 [size =\"6963200\"]\n  26 -> 33 [size =\"6963200\"]\n  26 -> 39 [size =\"6963200\"]\n  27 [size=\"60966912\", alpha=\"0.16\", expect_size=\"30483456\"] \n  27 -> 29 [size =\"30483456\"]\n  27 -> 31 [size =\"30483456\"]\n  27 -> 32 [size =\"30483456\"]\n  27 -> 33 [size =\"30483456\"]\n  27 -> 34 [size =\"30483456\"]\n  27 -> 36 [size =\"30483456\"]\n  27 -> 37 [size =\"30483456\"]\n  27 -> 39 [size =\"30483456\"]\n  28 [size=\"71866368\", alpha=\"0.09\", expect_size=\"35933184\"] \n  29 [size=\"99241984\", alpha=\"0.18\", expect_size=\"49620992\"] \n  30 [size=\"88141824\", alpha=\"0.00\", expect_size=\"44070912\"] \n  31 [size=\"70262784\", alpha=\"0.02\", expect_size=\"35131392\"] \n  32 [size=\"100675584\", alpha=\"0.08\", expect_size=\"50337792\"] \n  33 [size=\"17516544\", alpha=\"0.14\", expect_size=\"8758272\"] \n  34 [size=\"99205120\", alpha=\"0.13\", expect_size=\"49602560\"] \n  35 [size=\"33554432\", alpha=\"0.10\", expect_size=\"16777216\"] \n  36 [size=\"84416512\", alpha=\"0.18\", expect_size=\"42208256\"] \n  37 [size=\"56436736\", alpha=\"0.12\", expect_size=\"28218368\"] \n  38 [size=\"37537792\", alpha=\"0.18\", expect_size=\"18768896\"] \n  39 [size=\"80222208\", alpha=\"0.20\", expect_size=\"40111104\"] \n  40 [size=\"71172096\", alpha=\"0.07\", expect_size=\"35586048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61767680\", alpha=\"0.04\", expect_size=\"18530304\"] \n  1 -> 2 [size =\"18530304\"]\n  2 [size=\"85824853\", alpha=\"0.19\", expect_size=\"25747456\"] \n  2 -> 3 [size =\"25747456\"]\n  3 [size=\"104123733\", alpha=\"0.09\", expect_size=\"31237120\"] \n  3 -> 4 [size =\"31237120\"]\n  4 [size=\"28706133\", alpha=\"0.10\", expect_size=\"8611840\"] \n  4 -> 5 [size =\"8611840\"]\n  5 [size=\"143926613\", alpha=\"0.17\", expect_size=\"43177984\"] \n  5 -> 6 [size =\"43177984\"]\n  6 [size=\"166352213\", alpha=\"0.11\", expect_size=\"49905664\"] \n  6 -> 7 [size =\"49905664\"]\n  7 [size=\"165461333\", alpha=\"0.07\", expect_size=\"49638400\"] \n  7 -> 8 [size =\"49638400\"]\n  8 [size=\"35525973\", alpha=\"0.17\", expect_size=\"10657792\"] \n  8 -> 9 [size =\"10657792\"]\n  9 [size=\"171728213\", alpha=\"0.07\", expect_size=\"51518464\"] \n  9 -> 10 [size =\"51518464\"]\n  10 [size=\"108236800\", alpha=\"0.07\", expect_size=\"32471040\"] \n  10 -> 11 [size =\"32471040\"]\n  11 [size=\"133765120\", alpha=\"0.19\", expect_size=\"40129536\"] \n  11 -> 12 [size =\"40129536\"]\n  12 [size=\"162669227\", alpha=\"0.08\", expect_size=\"48800768\"] \n  12 -> 13 [size =\"48800768\"]\n  13 [size=\"157914453\", alpha=\"0.18\", expect_size=\"47374336\"] \n  13 -> 14 [size =\"47374336\"]\n  14 [size=\"69280427\", alpha=\"0.09\", expect_size=\"20784128\"] \n  14 -> 15 [size =\"20784128\"]\n  15 [size=\"151507627\", alpha=\"0.14\", expect_size=\"45452288\"] \n  15 -> 16 [size =\"45452288\"]\n  16 [size=\"125245440\", alpha=\"0.04\", expect_size=\"37573632\"] \n  16 -> 17 [size =\"37573632\"]\n  17 [size=\"56917333\", alpha=\"0.05\", expect_size=\"17075200\"] \n  17 -> 18 [size =\"17075200\"]\n  18 [size=\"115551573\", alpha=\"0.02\", expect_size=\"34665472\"] \n  18 -> 19 [size =\"34665472\"]\n  19 [size=\"89173333\", alpha=\"0.09\", expect_size=\"26752000\"] \n  19 -> 20 [size =\"26752000\"]\n  20 [size=\"142912853\", alpha=\"0.14\", expect_size=\"42873856\"] \n  20 -> 21 [size =\"42873856\"]\n  21 [size=\"36747947\", alpha=\"0.05\", expect_size=\"11024384\"] \n  21 -> 22 [size =\"11024384\"]\n  22 [size=\"27446613\", alpha=\"0.04\", expect_size=\"8233984\"] \n  22 -> 23 [size =\"8233984\"]\n  23 [size=\"89408853\", alpha=\"0.14\", expect_size=\"26822656\"] \n  23 -> 24 [size =\"26822656\"]\n  24 [size=\"70830080\", alpha=\"0.06\", expect_size=\"21249024\"] \n  24 -> 25 [size =\"21249024\"]\n  25 [size=\"137939627\", alpha=\"0.14\", expect_size=\"41381888\"] \n  25 -> 26 [size =\"41381888\"]\n  26 [size=\"91303253\", alpha=\"0.00\", expect_size=\"27390976\"] \n  26 -> 27 [size =\"27390976\"]\n  27 [size=\"121620480\", alpha=\"0.06\", expect_size=\"36486144\"] \n  27 -> 28 [size =\"36486144\"]\n  28 [size=\"160382293\", alpha=\"0.14\", expect_size=\"48114688\"] \n  28 -> 29 [size =\"48114688\"]\n  29 [size=\"20838400\", alpha=\"0.01\", expect_size=\"6251520\"] \n  29 -> 30 [size =\"6251520\"]\n  30 [size=\"92876800\", alpha=\"0.00\", expect_size=\"27863040\"] \n  30 -> 31 [size =\"27863040\"]\n  31 [size=\"46486187\", alpha=\"0.14\", expect_size=\"13945856\"] \n  31 -> 32 [size =\"13945856\"]\n  32 [size=\"83251200\", alpha=\"0.06\", expect_size=\"24975360\"] \n  32 -> 33 [size =\"24975360\"]\n  33 [size=\"114234027\", alpha=\"0.16\", expect_size=\"34270208\"] \n  33 -> 34 [size =\"34270208\"]\n  34 [size=\"68802560\", alpha=\"0.13\", expect_size=\"20640768\"] \n  34 -> 35 [size =\"20640768\"]\n  35 [size=\"115469653\", alpha=\"0.07\", expect_size=\"34640896\"] \n  35 -> 36 [size =\"34640896\"]\n  36 [size=\"66116267\", alpha=\"0.14\", expect_size=\"19834880\"] \n  36 -> 37 [size =\"19834880\"]\n  37 [size=\"69625173\", alpha=\"0.07\", expect_size=\"20887552\"] \n  37 -> 38 [size =\"20887552\"]\n  38 [size=\"116688213\", alpha=\"0.12\", expect_size=\"35006464\"] \n  38 -> 39 [size =\"35006464\"]\n  39 [size=\"68072107\", alpha=\"0.06\", expect_size=\"20421632\"] \n  39 -> 40 [size =\"20421632\"]\n  40 [size=\"78032213\", alpha=\"0.16\", expect_size=\"23409664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44636160\", alpha=\"0.19\", expect_size=\"17854464\"] \n  1 -> 2 [size =\"17854464\"]\n  2 [size=\"99535360\", alpha=\"0.05\", expect_size=\"39814144\"] \n  2 -> 3 [size =\"39814144\"]\n  3 [size=\"46123520\", alpha=\"0.15\", expect_size=\"18449408\"] \n  3 -> 4 [size =\"18449408\"]\n  4 [size=\"95756800\", alpha=\"0.20\", expect_size=\"38302720\"] \n  4 -> 5 [size =\"38302720\"]\n  5 [size=\"19942400\", alpha=\"0.11\", expect_size=\"7976960\"] \n  5 -> 6 [size =\"7976960\"]\n  6 [size=\"93209600\", alpha=\"0.14\", expect_size=\"37283840\"] \n  6 -> 7 [size =\"37283840\"]\n  7 [size=\"82373120\", alpha=\"0.14\", expect_size=\"32949248\"] \n  7 -> 8 [size =\"32949248\"]\n  8 [size=\"74449920\", alpha=\"0.12\", expect_size=\"29779968\"] \n  8 -> 9 [size =\"29779968\"]\n  9 [size=\"102167040\", alpha=\"0.10\", expect_size=\"40866816\"] \n  9 -> 10 [size =\"40866816\"]\n  10 [size=\"91868160\", alpha=\"0.19\", expect_size=\"36747264\"] \n  10 -> 11 [size =\"36747264\"]\n  11 [size=\"103239680\", alpha=\"0.00\", expect_size=\"41295872\"] \n  11 -> 12 [size =\"41295872\"]\n  12 [size=\"97310720\", alpha=\"0.11\", expect_size=\"38924288\"] \n  12 -> 13 [size =\"38924288\"]\n  13 [size=\"124275200\", alpha=\"0.01\", expect_size=\"49710080\"] \n  13 -> 14 [size =\"49710080\"]\n  14 [size=\"93061120\", alpha=\"0.18\", expect_size=\"37224448\"] \n  14 -> 15 [size =\"37224448\"]\n  15 [size=\"90728960\", alpha=\"0.18\", expect_size=\"36291584\"] \n  15 -> 16 [size =\"36291584\"]\n  16 [size=\"37560320\", alpha=\"0.02\", expect_size=\"15024128\"] \n  16 -> 17 [size =\"15024128\"]\n  17 [size=\"122652160\", alpha=\"0.11\", expect_size=\"49060864\"] \n  17 -> 18 [size =\"49060864\"]\n  18 [size=\"84917760\", alpha=\"0.16\", expect_size=\"33967104\"] \n  18 -> 19 [size =\"33967104\"]\n  19 [size=\"40360960\", alpha=\"0.12\", expect_size=\"16144384\"] \n  19 -> 20 [size =\"16144384\"]\n  20 [size=\"97953280\", alpha=\"0.11\", expect_size=\"39181312\"] \n  20 -> 21 [size =\"39181312\"]\n  21 [size=\"89139200\", alpha=\"0.17\", expect_size=\"35655680\"] \n  21 -> 22 [size =\"35655680\"]\n  22 [size=\"91773440\", alpha=\"0.16\", expect_size=\"36709376\"] \n  22 -> 23 [size =\"36709376\"]\n  23 [size=\"41103360\", alpha=\"0.02\", expect_size=\"16441344\"] \n  23 -> 24 [size =\"16441344\"]\n  24 [size=\"44546560\", alpha=\"0.01\", expect_size=\"17818624\"] \n  24 -> 25 [size =\"17818624\"]\n  25 [size=\"30789120\", alpha=\"0.02\", expect_size=\"12315648\"] \n  25 -> 26 [size =\"12315648\"]\n  26 [size=\"18211840\", alpha=\"0.16\", expect_size=\"7284736\"] \n  26 -> 27 [size =\"7284736\"]\n  27 [size=\"29534720\", alpha=\"0.02\", expect_size=\"11813888\"] \n  27 -> 28 [size =\"11813888\"]\n  28 [size=\"97262080\", alpha=\"0.18\", expect_size=\"38904832\"] \n  28 -> 29 [size =\"38904832\"]\n  29 [size=\"73392640\", alpha=\"0.10\", expect_size=\"29357056\"] \n  29 -> 30 [size =\"29357056\"]\n  30 [size=\"23728640\", alpha=\"0.14\", expect_size=\"9491456\"] \n  30 -> 31 [size =\"9491456\"]\n  31 [size=\"90992640\", alpha=\"0.14\", expect_size=\"36397056\"] \n  31 -> 32 [size =\"36397056\"]\n  32 [size=\"70784000\", alpha=\"0.09\", expect_size=\"28313600\"] \n  32 -> 33 [size =\"28313600\"]\n  33 [size=\"49530880\", alpha=\"0.02\", expect_size=\"19812352\"] \n  33 -> 34 [size =\"19812352\"]\n  34 [size=\"60254720\", alpha=\"0.09\", expect_size=\"24101888\"] \n  34 -> 35 [size =\"24101888\"]\n  35 [size=\"67642880\", alpha=\"0.09\", expect_size=\"27057152\"] \n  35 -> 36 [size =\"27057152\"]\n  36 [size=\"78528000\", alpha=\"0.13\", expect_size=\"31411200\"] \n  36 -> 37 [size =\"31411200\"]\n  37 [size=\"55050240\", alpha=\"0.15\", expect_size=\"22020096\"] \n  37 -> 38 [size =\"22020096\"]\n  38 [size=\"66480640\", alpha=\"0.10\", expect_size=\"26592256\"] \n  38 -> 39 [size =\"26592256\"]\n  39 [size=\"56194560\", alpha=\"0.09\", expect_size=\"22477824\"] \n  39 -> 40 [size =\"22477824\"]\n  40 [size=\"113254400\", alpha=\"0.03\", expect_size=\"45301760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65748480\", alpha=\"0.02\", expect_size=\"26299392\"] \n  1 -> 15 [size =\"26299392\"]\n  1 -> 16 [size =\"26299392\"]\n  1 -> 19 [size =\"26299392\"]\n  1 -> 21 [size =\"26299392\"]\n  1 -> 22 [size =\"26299392\"]\n  1 -> 24 [size =\"26299392\"]\n  1 -> 28 [size =\"26299392\"]\n  1 -> 29 [size =\"26299392\"]\n  2 [size=\"115356160\", alpha=\"0.06\", expect_size=\"46142464\"] \n  2 -> 16 [size =\"46142464\"]\n  2 -> 16 [size =\"46142464\"]\n  2 -> 17 [size =\"46142464\"]\n  2 -> 18 [size =\"46142464\"]\n  2 -> 21 [size =\"46142464\"]\n  2 -> 22 [size =\"46142464\"]\n  2 -> 23 [size =\"46142464\"]\n  2 -> 24 [size =\"46142464\"]\n  2 -> 25 [size =\"46142464\"]\n  2 -> 26 [size =\"46142464\"]\n  2 -> 28 [size =\"46142464\"]\n  3 [size=\"97817600\", alpha=\"0.03\", expect_size=\"39127040\"] \n  3 -> 16 [size =\"39127040\"]\n  3 -> 19 [size =\"39127040\"]\n  3 -> 21 [size =\"39127040\"]\n  3 -> 22 [size =\"39127040\"]\n  3 -> 24 [size =\"39127040\"]\n  3 -> 26 [size =\"39127040\"]\n  4 [size=\"102512640\", alpha=\"0.05\", expect_size=\"41005056\"] \n  4 -> 17 [size =\"41005056\"]\n  4 -> 18 [size =\"41005056\"]\n  4 -> 21 [size =\"41005056\"]\n  4 -> 22 [size =\"41005056\"]\n  4 -> 26 [size =\"41005056\"]\n  4 -> 26 [size =\"41005056\"]\n  4 -> 28 [size =\"41005056\"]\n  5 [size=\"125724160\", alpha=\"0.10\", expect_size=\"50289664\"] \n  5 -> 15 [size =\"50289664\"]\n  5 -> 18 [size =\"50289664\"]\n  5 -> 20 [size =\"50289664\"]\n  5 -> 21 [size =\"50289664\"]\n  5 -> 23 [size =\"50289664\"]\n  5 -> 26 [size =\"50289664\"]\n  6 [size=\"106700800\", alpha=\"0.18\", expect_size=\"42680320\"] \n  6 -> 15 [size =\"42680320\"]\n  6 -> 21 [size =\"42680320\"]\n  6 -> 22 [size =\"42680320\"]\n  6 -> 24 [size =\"42680320\"]\n  6 -> 25 [size =\"42680320\"]\n  6 -> 26 [size =\"42680320\"]\n  6 -> 28 [size =\"42680320\"]\n  6 -> 29 [size =\"42680320\"]\n  7 [size=\"66158080\", alpha=\"0.16\", expect_size=\"26463232\"] \n  7 -> 15 [size =\"26463232\"]\n  7 -> 16 [size =\"26463232\"]\n  7 -> 21 [size =\"26463232\"]\n  7 -> 23 [size =\"26463232\"]\n  7 -> 25 [size =\"26463232\"]\n  7 -> 26 [size =\"26463232\"]\n  7 -> 27 [size =\"26463232\"]\n  7 -> 28 [size =\"26463232\"]\n  7 -> 29 [size =\"26463232\"]\n  8 [size=\"79339520\", alpha=\"0.01\", expect_size=\"31735808\"] \n  8 -> 17 [size =\"31735808\"]\n  8 -> 29 [size =\"31735808\"]\n  9 [size=\"104765440\", alpha=\"0.11\", expect_size=\"41906176\"] \n  9 -> 21 [size =\"41906176\"]\n  9 -> 22 [size =\"41906176\"]\n  9 -> 26 [size =\"41906176\"]\n  9 -> 29 [size =\"41906176\"]\n  10 [size=\"29483520\", alpha=\"0.07\", expect_size=\"11793408\"] \n  10 -> 16 [size =\"11793408\"]\n  10 -> 18 [size =\"11793408\"]\n  10 -> 21 [size =\"11793408\"]\n  10 -> 22 [size =\"11793408\"]\n  10 -> 28 [size =\"11793408\"]\n  10 -> 29 [size =\"11793408\"]\n  11 [size=\"17999360\", alpha=\"0.03\", expect_size=\"7199744\"] \n  11 -> 15 [size =\"7199744\"]\n  11 -> 16 [size =\"7199744\"]\n  11 -> 17 [size =\"7199744\"]\n  11 -> 19 [size =\"7199744\"]\n  11 -> 20 [size =\"7199744\"]\n  11 -> 23 [size =\"7199744\"]\n  11 -> 27 [size =\"7199744\"]\n  11 -> 28 [size =\"7199744\"]\n  11 -> 29 [size =\"7199744\"]\n  12 [size=\"31406080\", alpha=\"0.16\", expect_size=\"12562432\"] \n  12 -> 15 [size =\"12562432\"]\n  12 -> 16 [size =\"12562432\"]\n  12 -> 17 [size =\"12562432\"]\n  12 -> 19 [size =\"12562432\"]\n  12 -> 20 [size =\"12562432\"]\n  12 -> 21 [size =\"12562432\"]\n  12 -> 23 [size =\"12562432\"]\n  12 -> 26 [size =\"12562432\"]\n  12 -> 29 [size =\"12562432\"]\n  13 [size=\"65361920\", alpha=\"0.09\", expect_size=\"26144768\"] \n  13 -> 15 [size =\"26144768\"]\n  13 -> 16 [size =\"26144768\"]\n  13 -> 20 [size =\"26144768\"]\n  13 -> 29 [size =\"26144768\"]\n  14 [size=\"85283840\", alpha=\"0.00\", expect_size=\"34113536\"] \n  14 -> 15 [size =\"34113536\"]\n  14 -> 16 [size =\"34113536\"]\n  14 -> 20 [size =\"34113536\"]\n  14 -> 22 [size =\"34113536\"]\n  14 -> 24 [size =\"34113536\"]\n  14 -> 25 [size =\"34113536\"]\n  15 [size=\"115025920\", alpha=\"0.05\", expect_size=\"46010368\"] \n  15 -> 31 [size =\"46010368\"]\n  15 -> 32 [size =\"46010368\"]\n  15 -> 34 [size =\"46010368\"]\n  15 -> 36 [size =\"46010368\"]\n  15 -> 37 [size =\"46010368\"]\n  15 -> 38 [size =\"46010368\"]\n  15 -> 39 [size =\"46010368\"]\n  16 [size=\"58792960\", alpha=\"0.20\", expect_size=\"23517184\"] \n  16 -> 31 [size =\"23517184\"]\n  16 -> 33 [size =\"23517184\"]\n  16 -> 35 [size =\"23517184\"]\n  17 [size=\"44047360\", alpha=\"0.10\", expect_size=\"17618944\"] \n  17 -> 30 [size =\"17618944\"]\n  17 -> 32 [size =\"17618944\"]\n  17 -> 34 [size =\"17618944\"]\n  17 -> 35 [size =\"17618944\"]\n  17 -> 37 [size =\"17618944\"]\n  18 [size=\"19701760\", alpha=\"0.13\", expect_size=\"7880704\"] \n  18 -> 32 [size =\"7880704\"]\n  18 -> 33 [size =\"7880704\"]\n  18 -> 35 [size =\"7880704\"]\n  18 -> 36 [size =\"7880704\"]\n  19 [size=\"27973120\", alpha=\"0.12\", expect_size=\"11189248\"] \n  19 -> 30 [size =\"11189248\"]\n  19 -> 31 [size =\"11189248\"]\n  19 -> 32 [size =\"11189248\"]\n  19 -> 33 [size =\"11189248\"]\n  19 -> 38 [size =\"11189248\"]\n  19 -> 39 [size =\"11189248\"]\n  20 [size=\"94085120\", alpha=\"0.04\", expect_size=\"37634048\"] \n  20 -> 30 [size =\"37634048\"]\n  20 -> 31 [size =\"37634048\"]\n  20 -> 33 [size =\"37634048\"]\n  20 -> 34 [size =\"37634048\"]\n  20 -> 38 [size =\"37634048\"]\n  20 -> 40 [size =\"37634048\"]\n  21 [size=\"19100160\", alpha=\"0.05\", expect_size=\"7640064\"] \n  21 -> 30 [size =\"7640064\"]\n  21 -> 32 [size =\"7640064\"]\n  21 -> 40 [size =\"7640064\"]\n  22 [size=\"36723200\", alpha=\"0.04\", expect_size=\"14689280\"] \n  22 -> 40 [size =\"14689280\"]\n  23 [size=\"13411840\", alpha=\"0.16\", expect_size=\"5364736\"] \n  23 -> 31 [size =\"5364736\"]\n  23 -> 33 [size =\"5364736\"]\n  23 -> 37 [size =\"5364736\"]\n  23 -> 38 [size =\"5364736\"]\n  23 -> 40 [size =\"5364736\"]\n  24 [size=\"69027840\", alpha=\"0.04\", expect_size=\"27611136\"] \n  24 -> 31 [size =\"27611136\"]\n  24 -> 33 [size =\"27611136\"]\n  24 -> 34 [size =\"27611136\"]\n  24 -> 36 [size =\"27611136\"]\n  24 -> 40 [size =\"27611136\"]\n  25 [size=\"70709760\", alpha=\"0.12\", expect_size=\"28283904\"] \n  25 -> 31 [size =\"28283904\"]\n  25 -> 32 [size =\"28283904\"]\n  25 -> 34 [size =\"28283904\"]\n  25 -> 40 [size =\"28283904\"]\n  25 -> 40 [size =\"28283904\"]\n  26 [size=\"103014400\", alpha=\"0.15\", expect_size=\"41205760\"] \n  26 -> 31 [size =\"41205760\"]\n  26 -> 38 [size =\"41205760\"]\n  26 -> 40 [size =\"41205760\"]\n  27 [size=\"100198400\", alpha=\"0.07\", expect_size=\"40079360\"] \n  27 -> 33 [size =\"40079360\"]\n  27 -> 35 [size =\"40079360\"]\n  27 -> 38 [size =\"40079360\"]\n  27 -> 40 [size =\"40079360\"]\n  28 [size=\"43261440\", alpha=\"0.10\", expect_size=\"17304576\"] \n  28 -> 31 [size =\"17304576\"]\n  28 -> 33 [size =\"17304576\"]\n  28 -> 35 [size =\"17304576\"]\n  28 -> 36 [size =\"17304576\"]\n  28 -> 37 [size =\"17304576\"]\n  28 -> 39 [size =\"17304576\"]\n  28 -> 40 [size =\"17304576\"]\n  29 [size=\"119301120\", alpha=\"0.09\", expect_size=\"47720448\"] \n  29 -> 31 [size =\"47720448\"]\n  29 -> 32 [size =\"47720448\"]\n  29 -> 33 [size =\"47720448\"]\n  29 -> 35 [size =\"47720448\"]\n  30 [size=\"69355520\", alpha=\"0.10\", expect_size=\"27742208\"] \n  31 [size=\"91765760\", alpha=\"0.13\", expect_size=\"36706304\"] \n  32 [size=\"121208320\", alpha=\"0.18\", expect_size=\"48483328\"] \n  33 [size=\"24005120\", alpha=\"0.12\", expect_size=\"9602048\"] \n  34 [size=\"120793600\", alpha=\"0.19\", expect_size=\"48317440\"] \n  35 [size=\"29125120\", alpha=\"0.03\", expect_size=\"11650048\"] \n  36 [size=\"97541120\", alpha=\"0.14\", expect_size=\"39016448\"] \n  37 [size=\"65745920\", alpha=\"0.11\", expect_size=\"26298368\"] \n  38 [size=\"104755200\", alpha=\"0.09\", expect_size=\"41902080\"] \n  39 [size=\"44871680\", alpha=\"0.10\", expect_size=\"17948672\"] \n  40 [size=\"95720960\", alpha=\"0.04\", expect_size=\"38288384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33501867\", alpha=\"0.17\", expect_size=\"10050560\"] \n  1 -> 2 [size =\"10050560\"]\n  2 [size=\"122473813\", alpha=\"0.02\", expect_size=\"36742144\"] \n  2 -> 3 [size =\"36742144\"]\n  3 [size=\"103645867\", alpha=\"0.13\", expect_size=\"31093760\"] \n  3 -> 4 [size =\"31093760\"]\n  4 [size=\"54528000\", alpha=\"0.14\", expect_size=\"16358400\"] \n  4 -> 5 [size =\"16358400\"]\n  5 [size=\"143854933\", alpha=\"0.15\", expect_size=\"43156480\"] \n  5 -> 6 [size =\"43156480\"]\n  6 [size=\"148985173\", alpha=\"0.15\", expect_size=\"44695552\"] \n  6 -> 7 [size =\"44695552\"]\n  7 [size=\"99065173\", alpha=\"0.09\", expect_size=\"29719552\"] \n  7 -> 8 [size =\"29719552\"]\n  8 [size=\"160191147\", alpha=\"0.06\", expect_size=\"48057344\"] \n  8 -> 9 [size =\"48057344\"]\n  9 [size=\"144500053\", alpha=\"0.06\", expect_size=\"43350016\"] \n  9 -> 10 [size =\"43350016\"]\n  10 [size=\"138199040\", alpha=\"0.10\", expect_size=\"41459712\"] \n  10 -> 11 [size =\"41459712\"]\n  11 [size=\"116807680\", alpha=\"0.19\", expect_size=\"35042304\"] \n  11 -> 12 [size =\"35042304\"]\n  12 [size=\"95238827\", alpha=\"0.11\", expect_size=\"28571648\"] \n  12 -> 13 [size =\"28571648\"]\n  13 [size=\"111837867\", alpha=\"0.05\", expect_size=\"33551360\"] \n  13 -> 14 [size =\"33551360\"]\n  14 [size=\"59306667\", alpha=\"0.20\", expect_size=\"17792000\"] \n  14 -> 15 [size =\"17792000\"]\n  15 [size=\"168765440\", alpha=\"0.14\", expect_size=\"50629632\"] \n  15 -> 16 [size =\"50629632\"]\n  16 [size=\"128450560\", alpha=\"0.20\", expect_size=\"38535168\"] \n  16 -> 17 [size =\"38535168\"]\n  17 [size=\"88702293\", alpha=\"0.18\", expect_size=\"26610688\"] \n  17 -> 18 [size =\"26610688\"]\n  18 [size=\"159747413\", alpha=\"0.07\", expect_size=\"47924224\"] \n  18 -> 19 [size =\"47924224\"]\n  19 [size=\"47892480\", alpha=\"0.19\", expect_size=\"14367744\"] \n  19 -> 20 [size =\"14367744\"]\n  20 [size=\"92282880\", alpha=\"0.14\", expect_size=\"27684864\"] \n  20 -> 21 [size =\"27684864\"]\n  21 [size=\"174431573\", alpha=\"0.12\", expect_size=\"52329472\"] \n  21 -> 22 [size =\"52329472\"]\n  22 [size=\"167287467\", alpha=\"0.03\", expect_size=\"50186240\"] \n  22 -> 23 [size =\"50186240\"]\n  23 [size=\"94644907\", alpha=\"0.05\", expect_size=\"28393472\"] \n  23 -> 24 [size =\"28393472\"]\n  24 [size=\"134010880\", alpha=\"0.12\", expect_size=\"40203264\"] \n  24 -> 25 [size =\"40203264\"]\n  25 [size=\"133263360\", alpha=\"0.14\", expect_size=\"39979008\"] \n  25 -> 26 [size =\"39979008\"]\n  26 [size=\"85316267\", alpha=\"0.14\", expect_size=\"25594880\"] \n  26 -> 27 [size =\"25594880\"]\n  27 [size=\"83828053\", alpha=\"0.04\", expect_size=\"25148416\"] \n  27 -> 28 [size =\"25148416\"]\n  28 [size=\"70386347\", alpha=\"0.12\", expect_size=\"21115904\"] \n  28 -> 29 [size =\"21115904\"]\n  29 [size=\"128177493\", alpha=\"0.16\", expect_size=\"38453248\"] \n  29 -> 30 [size =\"38453248\"]\n  30 [size=\"118490453\", alpha=\"0.15\", expect_size=\"35547136\"] \n  30 -> 31 [size =\"35547136\"]\n  31 [size=\"74400427\", alpha=\"0.08\", expect_size=\"22320128\"] \n  31 -> 32 [size =\"22320128\"]\n  32 [size=\"169222827\", alpha=\"0.10\", expect_size=\"50766848\"] \n  32 -> 33 [size =\"50766848\"]\n  33 [size=\"36099413\", alpha=\"0.04\", expect_size=\"10829824\"] \n  33 -> 34 [size =\"10829824\"]\n  34 [size=\"75772587\", alpha=\"0.03\", expect_size=\"22731776\"] \n  34 -> 35 [size =\"22731776\"]\n  35 [size=\"168007680\", alpha=\"0.02\", expect_size=\"50402304\"] \n  35 -> 36 [size =\"50402304\"]\n  36 [size=\"124617387\", alpha=\"0.14\", expect_size=\"37385216\"] \n  36 -> 37 [size =\"37385216\"]\n  37 [size=\"77110613\", alpha=\"0.16\", expect_size=\"23133184\"] \n  37 -> 38 [size =\"23133184\"]\n  38 [size=\"107076267\", alpha=\"0.16\", expect_size=\"32122880\"] \n  38 -> 39 [size =\"32122880\"]\n  39 [size=\"42656427\", alpha=\"0.20\", expect_size=\"12796928\"] \n  39 -> 40 [size =\"12796928\"]\n  40 [size=\"168164693\", alpha=\"0.13\", expect_size=\"50449408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79089664\", alpha=\"0.20\", expect_size=\"39544832\"] \n  1 -> 16 [size =\"39544832\"]\n  1 -> 19 [size =\"39544832\"]\n  1 -> 26 [size =\"39544832\"]\n  1 -> 27 [size =\"39544832\"]\n  2 [size=\"39849984\", alpha=\"0.00\", expect_size=\"19924992\"] \n  2 -> 14 [size =\"19924992\"]\n  2 -> 15 [size =\"19924992\"]\n  2 -> 16 [size =\"19924992\"]\n  2 -> 19 [size =\"19924992\"]\n  2 -> 22 [size =\"19924992\"]\n  2 -> 23 [size =\"19924992\"]\n  2 -> 26 [size =\"19924992\"]\n  3 [size=\"15878144\", alpha=\"0.06\", expect_size=\"7939072\"] \n  3 -> 15 [size =\"7939072\"]\n  3 -> 16 [size =\"7939072\"]\n  3 -> 16 [size =\"7939072\"]\n  3 -> 18 [size =\"7939072\"]\n  3 -> 19 [size =\"7939072\"]\n  3 -> 20 [size =\"7939072\"]\n  3 -> 22 [size =\"7939072\"]\n  3 -> 23 [size =\"7939072\"]\n  3 -> 24 [size =\"7939072\"]\n  3 -> 27 [size =\"7939072\"]\n  4 [size=\"44795904\", alpha=\"0.14\", expect_size=\"22397952\"] \n  4 -> 15 [size =\"22397952\"]\n  4 -> 16 [size =\"22397952\"]\n  4 -> 17 [size =\"22397952\"]\n  4 -> 19 [size =\"22397952\"]\n  4 -> 20 [size =\"22397952\"]\n  4 -> 23 [size =\"22397952\"]\n  4 -> 25 [size =\"22397952\"]\n  4 -> 27 [size =\"22397952\"]\n  5 [size=\"38205440\", alpha=\"0.12\", expect_size=\"19102720\"] \n  5 -> 15 [size =\"19102720\"]\n  5 -> 16 [size =\"19102720\"]\n  5 -> 19 [size =\"19102720\"]\n  5 -> 23 [size =\"19102720\"]\n  5 -> 27 [size =\"19102720\"]\n  6 [size=\"16818176\", alpha=\"0.03\", expect_size=\"8409088\"] \n  6 -> 14 [size =\"8409088\"]\n  6 -> 15 [size =\"8409088\"]\n  6 -> 21 [size =\"8409088\"]\n  6 -> 22 [size =\"8409088\"]\n  6 -> 23 [size =\"8409088\"]\n  6 -> 25 [size =\"8409088\"]\n  6 -> 26 [size =\"8409088\"]\n  7 [size=\"73506816\", alpha=\"0.16\", expect_size=\"36753408\"] \n  7 -> 14 [size =\"36753408\"]\n  7 -> 15 [size =\"36753408\"]\n  7 -> 22 [size =\"36753408\"]\n  7 -> 23 [size =\"36753408\"]\n  7 -> 26 [size =\"36753408\"]\n  8 [size=\"55914496\", alpha=\"0.18\", expect_size=\"27957248\"] \n  8 -> 14 [size =\"27957248\"]\n  8 -> 19 [size =\"27957248\"]\n  8 -> 20 [size =\"27957248\"]\n  8 -> 25 [size =\"27957248\"]\n  8 -> 27 [size =\"27957248\"]\n  9 [size=\"16240640\", alpha=\"0.06\", expect_size=\"8120320\"] \n  9 -> 15 [size =\"8120320\"]\n  9 -> 20 [size =\"8120320\"]\n  9 -> 22 [size =\"8120320\"]\n  9 -> 26 [size =\"8120320\"]\n  9 -> 27 [size =\"8120320\"]\n  10 [size=\"20430848\", alpha=\"0.06\", expect_size=\"10215424\"] \n  10 -> 14 [size =\"10215424\"]\n  10 -> 22 [size =\"10215424\"]\n  10 -> 24 [size =\"10215424\"]\n  10 -> 26 [size =\"10215424\"]\n  11 [size=\"78350336\", alpha=\"0.16\", expect_size=\"39175168\"] \n  11 -> 23 [size =\"39175168\"]\n  11 -> 26 [size =\"39175168\"]\n  12 [size=\"78127104\", alpha=\"0.13\", expect_size=\"39063552\"] \n  12 -> 22 [size =\"39063552\"]\n  12 -> 23 [size =\"39063552\"]\n  12 -> 27 [size =\"39063552\"]\n  13 [size=\"79136768\", alpha=\"0.07\", expect_size=\"39568384\"] \n  13 -> 15 [size =\"39568384\"]\n  13 -> 16 [size =\"39568384\"]\n  13 -> 19 [size =\"39568384\"]\n  13 -> 20 [size =\"39568384\"]\n  14 [size=\"14741504\", alpha=\"0.12\", expect_size=\"7370752\"] \n  14 -> 29 [size =\"7370752\"]\n  14 -> 29 [size =\"7370752\"]\n  14 -> 35 [size =\"7370752\"]\n  14 -> 39 [size =\"7370752\"]\n  14 -> 40 [size =\"7370752\"]\n  15 [size=\"82696192\", alpha=\"0.02\", expect_size=\"41348096\"] \n  15 -> 29 [size =\"41348096\"]\n  15 -> 30 [size =\"41348096\"]\n  15 -> 31 [size =\"41348096\"]\n  15 -> 35 [size =\"41348096\"]\n  15 -> 37 [size =\"41348096\"]\n  15 -> 38 [size =\"41348096\"]\n  16 [size=\"43280384\", alpha=\"0.09\", expect_size=\"21640192\"] \n  16 -> 29 [size =\"21640192\"]\n  16 -> 30 [size =\"21640192\"]\n  16 -> 31 [size =\"21640192\"]\n  16 -> 32 [size =\"21640192\"]\n  16 -> 38 [size =\"21640192\"]\n  17 [size=\"59031552\", alpha=\"0.06\", expect_size=\"29515776\"] \n  17 -> 30 [size =\"29515776\"]\n  17 -> 31 [size =\"29515776\"]\n  17 -> 35 [size =\"29515776\"]\n  17 -> 38 [size =\"29515776\"]\n  17 -> 40 [size =\"29515776\"]\n  18 [size=\"38381568\", alpha=\"0.17\", expect_size=\"19190784\"] \n  18 -> 30 [size =\"19190784\"]\n  18 -> 31 [size =\"19190784\"]\n  18 -> 32 [size =\"19190784\"]\n  18 -> 33 [size =\"19190784\"]\n  18 -> 35 [size =\"19190784\"]\n  18 -> 37 [size =\"19190784\"]\n  18 -> 39 [size =\"19190784\"]\n  18 -> 40 [size =\"19190784\"]\n  19 [size=\"30167040\", alpha=\"0.13\", expect_size=\"15083520\"] \n  19 -> 30 [size =\"15083520\"]\n  19 -> 31 [size =\"15083520\"]\n  19 -> 35 [size =\"15083520\"]\n  19 -> 38 [size =\"15083520\"]\n  19 -> 40 [size =\"15083520\"]\n  20 [size=\"60405760\", alpha=\"0.01\", expect_size=\"30202880\"] \n  20 -> 28 [size =\"30202880\"]\n  20 -> 30 [size =\"30202880\"]\n  20 -> 32 [size =\"30202880\"]\n  20 -> 38 [size =\"30202880\"]\n  20 -> 40 [size =\"30202880\"]\n  21 [size=\"86601728\", alpha=\"0.04\", expect_size=\"43300864\"] \n  21 -> 30 [size =\"43300864\"]\n  21 -> 30 [size =\"43300864\"]\n  21 -> 32 [size =\"43300864\"]\n  22 [size=\"67713024\", alpha=\"0.13\", expect_size=\"33856512\"] \n  22 -> 32 [size =\"33856512\"]\n  22 -> 36 [size =\"33856512\"]\n  23 [size=\"33193984\", alpha=\"0.04\", expect_size=\"16596992\"] \n  23 -> 31 [size =\"16596992\"]\n  23 -> 35 [size =\"16596992\"]\n  24 [size=\"65529856\", alpha=\"0.01\", expect_size=\"32764928\"] \n  24 -> 36 [size =\"32764928\"]\n  24 -> 38 [size =\"32764928\"]\n  25 [size=\"27238400\", alpha=\"0.05\", expect_size=\"13619200\"] \n  25 -> 28 [size =\"13619200\"]\n  25 -> 29 [size =\"13619200\"]\n  25 -> 31 [size =\"13619200\"]\n  25 -> 36 [size =\"13619200\"]\n  25 -> 37 [size =\"13619200\"]\n  25 -> 38 [size =\"13619200\"]\n  25 -> 40 [size =\"13619200\"]\n  26 [size=\"34996224\", alpha=\"0.10\", expect_size=\"17498112\"] \n  26 -> 31 [size =\"17498112\"]\n  26 -> 34 [size =\"17498112\"]\n  26 -> 40 [size =\"17498112\"]\n  27 [size=\"75962368\", alpha=\"0.08\", expect_size=\"37981184\"] \n  27 -> 28 [size =\"37981184\"]\n  27 -> 29 [size =\"37981184\"]\n  27 -> 37 [size =\"37981184\"]\n  28 [size=\"103251968\", alpha=\"0.16\", expect_size=\"51625984\"] \n  29 [size=\"87830528\", alpha=\"0.05\", expect_size=\"43915264\"] \n  30 [size=\"54046720\", alpha=\"0.16\", expect_size=\"27023360\"] \n  31 [size=\"59953152\", alpha=\"0.01\", expect_size=\"29976576\"] \n  32 [size=\"79779840\", alpha=\"0.01\", expect_size=\"39889920\"] \n  33 [size=\"48523264\", alpha=\"0.15\", expect_size=\"24261632\"] \n  34 [size=\"65949696\", alpha=\"0.11\", expect_size=\"32974848\"] \n  35 [size=\"71995392\", alpha=\"0.01\", expect_size=\"35997696\"] \n  36 [size=\"94384128\", alpha=\"0.19\", expect_size=\"47192064\"] \n  37 [size=\"45074432\", alpha=\"0.07\", expect_size=\"22537216\"] \n  38 [size=\"81463296\", alpha=\"0.00\", expect_size=\"40731648\"] \n  39 [size=\"60233728\", alpha=\"0.18\", expect_size=\"30116864\"] \n  40 [size=\"81514496\", alpha=\"0.07\", expect_size=\"40757248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107717120\", alpha=\"0.02\", expect_size=\"43086848\"] \n  1 -> 2 [size =\"43086848\"]\n  2 [size=\"116746240\", alpha=\"0.11\", expect_size=\"46698496\"] \n  2 -> 3 [size =\"46698496\"]\n  3 [size=\"129377280\", alpha=\"0.11\", expect_size=\"51750912\"] \n  3 -> 4 [size =\"51750912\"]\n  4 [size=\"98444800\", alpha=\"0.16\", expect_size=\"39377920\"] \n  4 -> 5 [size =\"39377920\"]\n  5 [size=\"80345600\", alpha=\"0.13\", expect_size=\"32138240\"] \n  5 -> 6 [size =\"32138240\"]\n  6 [size=\"127733760\", alpha=\"0.17\", expect_size=\"51093504\"] \n  6 -> 7 [size =\"51093504\"]\n  7 [size=\"55319040\", alpha=\"0.09\", expect_size=\"22127616\"] \n  7 -> 8 [size =\"22127616\"]\n  8 [size=\"40153600\", alpha=\"0.01\", expect_size=\"16061440\"] \n  8 -> 9 [size =\"16061440\"]\n  9 [size=\"87823360\", alpha=\"0.13\", expect_size=\"35129344\"] \n  9 -> 10 [size =\"35129344\"]\n  10 [size=\"41000960\", alpha=\"0.13\", expect_size=\"16400384\"] \n  10 -> 11 [size =\"16400384\"]\n  11 [size=\"114401280\", alpha=\"0.19\", expect_size=\"45760512\"] \n  11 -> 12 [size =\"45760512\"]\n  12 [size=\"129116160\", alpha=\"0.01\", expect_size=\"51646464\"] \n  12 -> 13 [size =\"51646464\"]\n  13 [size=\"76083200\", alpha=\"0.19\", expect_size=\"30433280\"] \n  13 -> 14 [size =\"30433280\"]\n  14 [size=\"25779200\", alpha=\"0.19\", expect_size=\"10311680\"] \n  14 -> 15 [size =\"10311680\"]\n  15 [size=\"121822720\", alpha=\"0.01\", expect_size=\"48729088\"] \n  15 -> 16 [size =\"48729088\"]\n  16 [size=\"80087040\", alpha=\"0.04\", expect_size=\"32034816\"] \n  16 -> 17 [size =\"32034816\"]\n  17 [size=\"61642240\", alpha=\"0.06\", expect_size=\"24656896\"] \n  17 -> 18 [size =\"24656896\"]\n  18 [size=\"115993600\", alpha=\"0.18\", expect_size=\"46397440\"] \n  18 -> 19 [size =\"46397440\"]\n  19 [size=\"122068480\", alpha=\"0.11\", expect_size=\"48827392\"] \n  19 -> 20 [size =\"48827392\"]\n  20 [size=\"82414080\", alpha=\"0.14\", expect_size=\"32965632\"] \n  20 -> 21 [size =\"32965632\"]\n  21 [size=\"38353920\", alpha=\"0.12\", expect_size=\"15341568\"] \n  21 -> 22 [size =\"15341568\"]\n  22 [size=\"30520320\", alpha=\"0.08\", expect_size=\"12208128\"] \n  22 -> 23 [size =\"12208128\"]\n  23 [size=\"34713600\", alpha=\"0.04\", expect_size=\"13885440\"] \n  23 -> 24 [size =\"13885440\"]\n  24 [size=\"31316480\", alpha=\"0.14\", expect_size=\"12526592\"] \n  24 -> 25 [size =\"12526592\"]\n  25 [size=\"25208320\", alpha=\"0.16\", expect_size=\"10083328\"] \n  25 -> 26 [size =\"10083328\"]\n  26 [size=\"33057280\", alpha=\"0.17\", expect_size=\"13222912\"] \n  26 -> 27 [size =\"13222912\"]\n  27 [size=\"56704000\", alpha=\"0.05\", expect_size=\"22681600\"] \n  27 -> 28 [size =\"22681600\"]\n  28 [size=\"92267520\", alpha=\"0.18\", expect_size=\"36907008\"] \n  28 -> 29 [size =\"36907008\"]\n  29 [size=\"78023680\", alpha=\"0.04\", expect_size=\"31209472\"] \n  29 -> 30 [size =\"31209472\"]\n  30 [size=\"26918400\", alpha=\"0.14\", expect_size=\"10767360\"] \n  30 -> 31 [size =\"10767360\"]\n  31 [size=\"108318720\", alpha=\"0.01\", expect_size=\"43327488\"] \n  31 -> 32 [size =\"43327488\"]\n  32 [size=\"62942720\", alpha=\"0.08\", expect_size=\"25177088\"] \n  32 -> 33 [size =\"25177088\"]\n  33 [size=\"112394240\", alpha=\"0.06\", expect_size=\"44957696\"] \n  33 -> 34 [size =\"44957696\"]\n  34 [size=\"19054080\", alpha=\"0.06\", expect_size=\"7621632\"] \n  34 -> 35 [size =\"7621632\"]\n  35 [size=\"104186880\", alpha=\"0.04\", expect_size=\"41674752\"] \n  35 -> 36 [size =\"41674752\"]\n  36 [size=\"81139200\", alpha=\"0.14\", expect_size=\"32455680\"] \n  36 -> 37 [size =\"32455680\"]\n  37 [size=\"64540160\", alpha=\"0.12\", expect_size=\"25816064\"] \n  37 -> 38 [size =\"25816064\"]\n  38 [size=\"96604160\", alpha=\"0.07\", expect_size=\"38641664\"] \n  38 -> 39 [size =\"38641664\"]\n  39 [size=\"86410240\", alpha=\"0.01\", expect_size=\"34564096\"] \n  39 -> 40 [size =\"34564096\"]\n  40 [size=\"108677120\", alpha=\"0.07\", expect_size=\"43470848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47116288\", alpha=\"0.01\", expect_size=\"23558144\"] \n  1 -> 13 [size =\"23558144\"]\n  1 -> 14 [size =\"23558144\"]\n  1 -> 15 [size =\"23558144\"]\n  1 -> 17 [size =\"23558144\"]\n  1 -> 19 [size =\"23558144\"]\n  1 -> 20 [size =\"23558144\"]\n  1 -> 21 [size =\"23558144\"]\n  1 -> 22 [size =\"23558144\"]\n  1 -> 23 [size =\"23558144\"]\n  1 -> 24 [size =\"23558144\"]\n  2 [size=\"50307072\", alpha=\"0.05\", expect_size=\"25153536\"] \n  2 -> 13 [size =\"25153536\"]\n  2 -> 14 [size =\"25153536\"]\n  2 -> 16 [size =\"25153536\"]\n  2 -> 17 [size =\"25153536\"]\n  2 -> 19 [size =\"25153536\"]\n  2 -> 21 [size =\"25153536\"]\n  2 -> 23 [size =\"25153536\"]\n  2 -> 24 [size =\"25153536\"]\n  3 [size=\"31680512\", alpha=\"0.03\", expect_size=\"15840256\"] \n  3 -> 14 [size =\"15840256\"]\n  3 -> 16 [size =\"15840256\"]\n  3 -> 17 [size =\"15840256\"]\n  3 -> 18 [size =\"15840256\"]\n  3 -> 19 [size =\"15840256\"]\n  3 -> 20 [size =\"15840256\"]\n  3 -> 23 [size =\"15840256\"]\n  3 -> 24 [size =\"15840256\"]\n  4 [size=\"90898432\", alpha=\"0.04\", expect_size=\"45449216\"] \n  4 -> 17 [size =\"45449216\"]\n  4 -> 19 [size =\"45449216\"]\n  4 -> 22 [size =\"45449216\"]\n  4 -> 24 [size =\"45449216\"]\n  5 [size=\"43311104\", alpha=\"0.09\", expect_size=\"21655552\"] \n  5 -> 17 [size =\"21655552\"]\n  5 -> 18 [size =\"21655552\"]\n  5 -> 24 [size =\"21655552\"]\n  5 -> 25 [size =\"21655552\"]\n  6 [size=\"73900032\", alpha=\"0.16\", expect_size=\"36950016\"] \n  6 -> 16 [size =\"36950016\"]\n  6 -> 17 [size =\"36950016\"]\n  6 -> 21 [size =\"36950016\"]\n  6 -> 23 [size =\"36950016\"]\n  6 -> 25 [size =\"36950016\"]\n  7 [size=\"81911808\", alpha=\"0.09\", expect_size=\"40955904\"] \n  7 -> 14 [size =\"40955904\"]\n  7 -> 16 [size =\"40955904\"]\n  7 -> 20 [size =\"40955904\"]\n  7 -> 24 [size =\"40955904\"]\n  7 -> 25 [size =\"40955904\"]\n  8 [size=\"57860096\", alpha=\"0.19\", expect_size=\"28930048\"] \n  8 -> 14 [size =\"28930048\"]\n  8 -> 15 [size =\"28930048\"]\n  8 -> 18 [size =\"28930048\"]\n  8 -> 19 [size =\"28930048\"]\n  8 -> 20 [size =\"28930048\"]\n  8 -> 24 [size =\"28930048\"]\n  9 [size=\"103563264\", alpha=\"0.17\", expect_size=\"51781632\"] \n  9 -> 13 [size =\"51781632\"]\n  9 -> 14 [size =\"51781632\"]\n  9 -> 18 [size =\"51781632\"]\n  9 -> 20 [size =\"51781632\"]\n  9 -> 20 [size =\"51781632\"]\n  9 -> 23 [size =\"51781632\"]\n  10 [size=\"40493056\", alpha=\"0.11\", expect_size=\"20246528\"] \n  10 -> 18 [size =\"20246528\"]\n  10 -> 21 [size =\"20246528\"]\n  10 -> 23 [size =\"20246528\"]\n  11 [size=\"75132928\", alpha=\"0.20\", expect_size=\"37566464\"] \n  11 -> 14 [size =\"37566464\"]\n  11 -> 18 [size =\"37566464\"]\n  11 -> 19 [size =\"37566464\"]\n  11 -> 21 [size =\"37566464\"]\n  11 -> 22 [size =\"37566464\"]\n  11 -> 23 [size =\"37566464\"]\n  11 -> 24 [size =\"37566464\"]\n  12 [size=\"78258176\", alpha=\"0.12\", expect_size=\"39129088\"] \n  12 -> 19 [size =\"39129088\"]\n  12 -> 22 [size =\"39129088\"]\n  12 -> 24 [size =\"39129088\"]\n  12 -> 25 [size =\"39129088\"]\n  13 [size=\"99624960\", alpha=\"0.15\", expect_size=\"49812480\"] \n  13 -> 26 [size =\"49812480\"]\n  13 -> 27 [size =\"49812480\"]\n  13 -> 29 [size =\"49812480\"]\n  13 -> 31 [size =\"49812480\"]\n  13 -> 33 [size =\"49812480\"]\n  13 -> 36 [size =\"49812480\"]\n  13 -> 38 [size =\"49812480\"]\n  14 [size=\"20932608\", alpha=\"0.19\", expect_size=\"10466304\"] \n  14 -> 27 [size =\"10466304\"]\n  14 -> 27 [size =\"10466304\"]\n  14 -> 28 [size =\"10466304\"]\n  14 -> 33 [size =\"10466304\"]\n  15 [size=\"41029632\", alpha=\"0.11\", expect_size=\"20514816\"] \n  15 -> 27 [size =\"20514816\"]\n  15 -> 28 [size =\"20514816\"]\n  15 -> 29 [size =\"20514816\"]\n  15 -> 31 [size =\"20514816\"]\n  15 -> 34 [size =\"20514816\"]\n  15 -> 36 [size =\"20514816\"]\n  16 [size=\"83828736\", alpha=\"0.07\", expect_size=\"41914368\"] \n  16 -> 27 [size =\"41914368\"]\n  16 -> 28 [size =\"41914368\"]\n  16 -> 29 [size =\"41914368\"]\n  16 -> 30 [size =\"41914368\"]\n  16 -> 31 [size =\"41914368\"]\n  16 -> 33 [size =\"41914368\"]\n  16 -> 36 [size =\"41914368\"]\n  17 [size=\"62703616\", alpha=\"0.08\", expect_size=\"31351808\"] \n  17 -> 26 [size =\"31351808\"]\n  17 -> 27 [size =\"31351808\"]\n  17 -> 30 [size =\"31351808\"]\n  17 -> 31 [size =\"31351808\"]\n  17 -> 33 [size =\"31351808\"]\n  18 [size=\"104255488\", alpha=\"0.04\", expect_size=\"52127744\"] \n  18 -> 29 [size =\"52127744\"]\n  18 -> 30 [size =\"52127744\"]\n  18 -> 31 [size =\"52127744\"]\n  18 -> 31 [size =\"52127744\"]\n  19 [size=\"99661824\", alpha=\"0.03\", expect_size=\"49830912\"] \n  19 -> 28 [size =\"49830912\"]\n  19 -> 29 [size =\"49830912\"]\n  19 -> 30 [size =\"49830912\"]\n  19 -> 32 [size =\"49830912\"]\n  19 -> 35 [size =\"49830912\"]\n  19 -> 37 [size =\"49830912\"]\n  20 [size=\"84205568\", alpha=\"0.17\", expect_size=\"42102784\"] \n  20 -> 26 [size =\"42102784\"]\n  20 -> 27 [size =\"42102784\"]\n  20 -> 28 [size =\"42102784\"]\n  20 -> 29 [size =\"42102784\"]\n  21 [size=\"42149888\", alpha=\"0.20\", expect_size=\"21074944\"] \n  21 -> 27 [size =\"21074944\"]\n  21 -> 28 [size =\"21074944\"]\n  21 -> 31 [size =\"21074944\"]\n  21 -> 36 [size =\"21074944\"]\n  22 [size=\"41433088\", alpha=\"0.10\", expect_size=\"20716544\"] \n  22 -> 26 [size =\"20716544\"]\n  22 -> 29 [size =\"20716544\"]\n  22 -> 36 [size =\"20716544\"]\n  23 [size=\"99225600\", alpha=\"0.05\", expect_size=\"49612800\"] \n  23 -> 26 [size =\"49612800\"]\n  23 -> 29 [size =\"49612800\"]\n  23 -> 35 [size =\"49612800\"]\n  23 -> 37 [size =\"49612800\"]\n  24 [size=\"75786240\", alpha=\"0.17\", expect_size=\"37893120\"] \n  24 -> 26 [size =\"37893120\"]\n  24 -> 33 [size =\"37893120\"]\n  24 -> 36 [size =\"37893120\"]\n  24 -> 37 [size =\"37893120\"]\n  25 [size=\"71260160\", alpha=\"0.17\", expect_size=\"35630080\"] \n  25 -> 27 [size =\"35630080\"]\n  25 -> 29 [size =\"35630080\"]\n  25 -> 31 [size =\"35630080\"]\n  25 -> 32 [size =\"35630080\"]\n  25 -> 33 [size =\"35630080\"]\n  25 -> 36 [size =\"35630080\"]\n  26 [size=\"29665280\", alpha=\"0.09\", expect_size=\"14832640\"] \n  26 -> 39 [size =\"14832640\"]\n  26 -> 40 [size =\"14832640\"]\n  27 [size=\"64225280\", alpha=\"0.17\", expect_size=\"32112640\"] \n  27 -> 40 [size =\"32112640\"]\n  28 [size=\"100444160\", alpha=\"0.14\", expect_size=\"50222080\"] \n  29 [size=\"25804800\", alpha=\"0.12\", expect_size=\"12902400\"] \n  29 -> 39 [size =\"12902400\"]\n  30 [size=\"39802880\", alpha=\"0.16\", expect_size=\"19901440\"] \n  30 -> 39 [size =\"19901440\"]\n  30 -> 40 [size =\"19901440\"]\n  31 [size=\"27439104\", alpha=\"0.13\", expect_size=\"13719552\"] \n  31 -> 40 [size =\"13719552\"]\n  32 [size=\"25346048\", alpha=\"0.05\", expect_size=\"12673024\"] \n  33 [size=\"73342976\", alpha=\"0.16\", expect_size=\"36671488\"] \n  34 [size=\"98256896\", alpha=\"0.09\", expect_size=\"49128448\"] \n  34 -> 40 [size =\"49128448\"]\n  35 [size=\"86126592\", alpha=\"0.08\", expect_size=\"43063296\"] \n  35 -> 40 [size =\"43063296\"]\n  36 [size=\"69779456\", alpha=\"0.03\", expect_size=\"34889728\"] \n  36 -> 39 [size =\"34889728\"]\n  37 [size=\"18259968\", alpha=\"0.09\", expect_size=\"9129984\"] \n  38 [size=\"97363968\", alpha=\"0.15\", expect_size=\"48681984\"] \n  39 [size=\"71356416\", alpha=\"0.00\", expect_size=\"35678208\"] \n  40 [size=\"33312768\", alpha=\"0.01\", expect_size=\"16656384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50411520\", alpha=\"0.17\", expect_size=\"15123456\"] \n  2 [size=\"173738667\", alpha=\"0.18\", expect_size=\"52121600\"] \n  2 -> 4 [size =\"52121600\"]\n  3 [size=\"42581333\", alpha=\"0.08\", expect_size=\"12774400\"] \n  3 -> 4 [size =\"12774400\"]\n  3 -> 5 [size =\"12774400\"]\n  3 -> 6 [size =\"12774400\"]\n  4 [size=\"89326933\", alpha=\"0.07\", expect_size=\"26798080\"] \n  4 -> 8 [size =\"26798080\"]\n  5 [size=\"122279253\", alpha=\"0.11\", expect_size=\"36683776\"] \n  5 -> 7 [size =\"36683776\"]\n  6 [size=\"51002027\", alpha=\"0.18\", expect_size=\"15300608\"] \n  6 -> 7 [size =\"15300608\"]\n  7 [size=\"130464427\", alpha=\"0.15\", expect_size=\"39139328\"] \n  7 -> 10 [size =\"39139328\"]\n  8 [size=\"91549013\", alpha=\"0.10\", expect_size=\"27464704\"] \n  8 -> 9 [size =\"27464704\"]\n  8 -> 11 [size =\"27464704\"]\n  9 [size=\"153296213\", alpha=\"0.09\", expect_size=\"45988864\"] \n  9 -> 13 [size =\"45988864\"]\n  10 [size=\"69123413\", alpha=\"0.13\", expect_size=\"20737024\"] \n  10 -> 12 [size =\"20737024\"]\n  11 [size=\"89173333\", alpha=\"0.15\", expect_size=\"26752000\"] \n  11 -> 12 [size =\"26752000\"]\n  12 [size=\"63109120\", alpha=\"0.14\", expect_size=\"18932736\"] \n  12 -> 14 [size =\"18932736\"]\n  12 -> 16 [size =\"18932736\"]\n  13 [size=\"43902293\", alpha=\"0.09\", expect_size=\"13170688\"] \n  13 -> 15 [size =\"13170688\"]\n  13 -> 17 [size =\"13170688\"]\n  14 [size=\"105475413\", alpha=\"0.04\", expect_size=\"31642624\"] \n  15 [size=\"157835947\", alpha=\"0.05\", expect_size=\"47350784\"] \n  15 -> 18 [size =\"47350784\"]\n  15 -> 20 [size =\"47350784\"]\n  16 [size=\"88183467\", alpha=\"0.19\", expect_size=\"26455040\"] \n  16 -> 18 [size =\"26455040\"]\n  16 -> 19 [size =\"26455040\"]\n  17 [size=\"69096107\", alpha=\"0.17\", expect_size=\"20728832\"] \n  17 -> 19 [size =\"20728832\"]\n  18 [size=\"30740480\", alpha=\"0.16\", expect_size=\"9222144\"] \n  19 [size=\"106987520\", alpha=\"0.10\", expect_size=\"32096256\"] \n  20 [size=\"19712000\", alpha=\"0.12\", expect_size=\"5913600\"] \n  20 -> 21 [size =\"5913600\"]\n  21 [size=\"118155947\", alpha=\"0.19\", expect_size=\"35446784\"] \n  21 -> 22 [size =\"35446784\"]\n  21 -> 23 [size =\"35446784\"]\n  21 -> 24 [size =\"35446784\"]\n  22 [size=\"80165547\", alpha=\"0.06\", expect_size=\"24049664\"] \n  22 -> 25 [size =\"24049664\"]\n  22 -> 26 [size =\"24049664\"]\n  23 [size=\"34041173\", alpha=\"0.16\", expect_size=\"10212352\"] \n  23 -> 25 [size =\"10212352\"]\n  24 [size=\"106850987\", alpha=\"0.15\", expect_size=\"32055296\"] \n  24 -> 26 [size =\"32055296\"]\n  25 [size=\"138885120\", alpha=\"0.07\", expect_size=\"41665536\"] \n  25 -> 28 [size =\"41665536\"]\n  26 [size=\"23470080\", alpha=\"0.04\", expect_size=\"7041024\"] \n  26 -> 27 [size =\"7041024\"]\n  26 -> 29 [size =\"7041024\"]\n  27 [size=\"170663253\", alpha=\"0.15\", expect_size=\"51198976\"] \n  27 -> 30 [size =\"51198976\"]\n  28 [size=\"148817920\", alpha=\"0.15\", expect_size=\"44645376\"] \n  29 [size=\"116995413\", alpha=\"0.13\", expect_size=\"35098624\"] \n  29 -> 31 [size =\"35098624\"]\n  29 -> 32 [size =\"35098624\"]\n  29 -> 33 [size =\"35098624\"]\n  30 [size=\"34706773\", alpha=\"0.17\", expect_size=\"10412032\"] \n  31 [size=\"130710187\", alpha=\"0.11\", expect_size=\"39213056\"] \n  31 -> 35 [size =\"39213056\"]\n  32 [size=\"123364693\", alpha=\"0.10\", expect_size=\"37009408\"] \n  33 [size=\"168942933\", alpha=\"0.12\", expect_size=\"50682880\"] \n  33 -> 34 [size =\"50682880\"]\n  33 -> 35 [size =\"50682880\"]\n  34 [size=\"135256747\", alpha=\"0.06\", expect_size=\"40577024\"] \n  34 -> 36 [size =\"40577024\"]\n  35 [size=\"94167040\", alpha=\"0.18\", expect_size=\"28250112\"] \n  35 -> 37 [size =\"28250112\"]\n  36 [size=\"150476800\", alpha=\"0.18\", expect_size=\"45143040\"] \n  36 -> 38 [size =\"45143040\"]\n  36 -> 39 [size =\"45143040\"]\n  37 [size=\"23135573\", alpha=\"0.05\", expect_size=\"6940672\"] \n  38 [size=\"139711147\", alpha=\"0.14\", expect_size=\"41913344\"] \n  38 -> 40 [size =\"41913344\"]\n  39 [size=\"102413653\", alpha=\"0.14\", expect_size=\"30724096\"] \n  40 [size=\"47069867\", alpha=\"0.15\", expect_size=\"14120960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98560000\", alpha=\"0.03\", expect_size=\"49280000\"] \n  1 -> 24 [size =\"49280000\"]\n  1 -> 25 [size =\"49280000\"]\n  1 -> 30 [size =\"49280000\"]\n  1 -> 31 [size =\"49280000\"]\n  1 -> 37 [size =\"49280000\"]\n  1 -> 38 [size =\"49280000\"]\n  2 [size=\"88524800\", alpha=\"0.12\", expect_size=\"44262400\"] \n  2 -> 25 [size =\"44262400\"]\n  2 -> 30 [size =\"44262400\"]\n  2 -> 31 [size =\"44262400\"]\n  2 -> 33 [size =\"44262400\"]\n  2 -> 34 [size =\"44262400\"]\n  2 -> 35 [size =\"44262400\"]\n  2 -> 36 [size =\"44262400\"]\n  2 -> 37 [size =\"44262400\"]\n  2 -> 39 [size =\"44262400\"]\n  2 -> 40 [size =\"44262400\"]\n  3 [size=\"43411456\", alpha=\"0.15\", expect_size=\"21705728\"] \n  3 -> 26 [size =\"21705728\"]\n  3 -> 27 [size =\"21705728\"]\n  3 -> 28 [size =\"21705728\"]\n  3 -> 30 [size =\"21705728\"]\n  3 -> 31 [size =\"21705728\"]\n  3 -> 35 [size =\"21705728\"]\n  3 -> 36 [size =\"21705728\"]\n  3 -> 37 [size =\"21705728\"]\n  3 -> 39 [size =\"21705728\"]\n  4 [size=\"38354944\", alpha=\"0.11\", expect_size=\"19177472\"] \n  4 -> 24 [size =\"19177472\"]\n  4 -> 26 [size =\"19177472\"]\n  4 -> 28 [size =\"19177472\"]\n  4 -> 30 [size =\"19177472\"]\n  4 -> 31 [size =\"19177472\"]\n  4 -> 32 [size =\"19177472\"]\n  4 -> 33 [size =\"19177472\"]\n  4 -> 36 [size =\"19177472\"]\n  4 -> 37 [size =\"19177472\"]\n  4 -> 39 [size =\"19177472\"]\n  5 [size=\"74397696\", alpha=\"0.02\", expect_size=\"37198848\"] \n  5 -> 27 [size =\"37198848\"]\n  5 -> 28 [size =\"37198848\"]\n  5 -> 30 [size =\"37198848\"]\n  5 -> 30 [size =\"37198848\"]\n  5 -> 31 [size =\"37198848\"]\n  5 -> 34 [size =\"37198848\"]\n  5 -> 37 [size =\"37198848\"]\n  5 -> 38 [size =\"37198848\"]\n  5 -> 39 [size =\"37198848\"]\n  6 [size=\"74371072\", alpha=\"0.07\", expect_size=\"37185536\"] \n  6 -> 25 [size =\"37185536\"]\n  6 -> 27 [size =\"37185536\"]\n  6 -> 28 [size =\"37185536\"]\n  6 -> 30 [size =\"37185536\"]\n  6 -> 33 [size =\"37185536\"]\n  6 -> 34 [size =\"37185536\"]\n  6 -> 37 [size =\"37185536\"]\n  6 -> 39 [size =\"37185536\"]\n  7 [size=\"68227072\", alpha=\"0.12\", expect_size=\"34113536\"] \n  7 -> 24 [size =\"34113536\"]\n  7 -> 27 [size =\"34113536\"]\n  7 -> 30 [size =\"34113536\"]\n  7 -> 33 [size =\"34113536\"]\n  7 -> 34 [size =\"34113536\"]\n  7 -> 37 [size =\"34113536\"]\n  7 -> 38 [size =\"34113536\"]\n  7 -> 39 [size =\"34113536\"]\n  8 [size=\"59629568\", alpha=\"0.19\", expect_size=\"29814784\"] \n  8 -> 24 [size =\"29814784\"]\n  8 -> 28 [size =\"29814784\"]\n  8 -> 31 [size =\"29814784\"]\n  8 -> 32 [size =\"29814784\"]\n  8 -> 36 [size =\"29814784\"]\n  8 -> 37 [size =\"29814784\"]\n  8 -> 38 [size =\"29814784\"]\n  9 [size=\"75304960\", alpha=\"0.08\", expect_size=\"37652480\"] \n  9 -> 24 [size =\"37652480\"]\n  9 -> 26 [size =\"37652480\"]\n  9 -> 29 [size =\"37652480\"]\n  9 -> 35 [size =\"37652480\"]\n  9 -> 36 [size =\"37652480\"]\n  9 -> 37 [size =\"37652480\"]\n  9 -> 38 [size =\"37652480\"]\n  10 [size=\"31401984\", alpha=\"0.13\", expect_size=\"15700992\"] \n  10 -> 25 [size =\"15700992\"]\n  10 -> 26 [size =\"15700992\"]\n  10 -> 28 [size =\"15700992\"]\n  10 -> 33 [size =\"15700992\"]\n  10 -> 39 [size =\"15700992\"]\n  11 [size=\"25647104\", alpha=\"0.16\", expect_size=\"12823552\"] \n  11 -> 24 [size =\"12823552\"]\n  11 -> 26 [size =\"12823552\"]\n  11 -> 27 [size =\"12823552\"]\n  11 -> 28 [size =\"12823552\"]\n  11 -> 31 [size =\"12823552\"]\n  11 -> 32 [size =\"12823552\"]\n  11 -> 33 [size =\"12823552\"]\n  11 -> 38 [size =\"12823552\"]\n  11 -> 39 [size =\"12823552\"]\n  12 [size=\"37965824\", alpha=\"0.06\", expect_size=\"18982912\"] \n  12 -> 24 [size =\"18982912\"]\n  12 -> 26 [size =\"18982912\"]\n  12 -> 28 [size =\"18982912\"]\n  12 -> 33 [size =\"18982912\"]\n  12 -> 35 [size =\"18982912\"]\n  12 -> 36 [size =\"18982912\"]\n  12 -> 37 [size =\"18982912\"]\n  12 -> 38 [size =\"18982912\"]\n  12 -> 39 [size =\"18982912\"]\n  13 [size=\"95471616\", alpha=\"0.17\", expect_size=\"47735808\"] \n  13 -> 27 [size =\"47735808\"]\n  13 -> 28 [size =\"47735808\"]\n  13 -> 33 [size =\"47735808\"]\n  13 -> 33 [size =\"47735808\"]\n  13 -> 36 [size =\"47735808\"]\n  13 -> 36 [size =\"47735808\"]\n  13 -> 37 [size =\"47735808\"]\n  13 -> 40 [size =\"47735808\"]\n  14 [size=\"73861120\", alpha=\"0.03\", expect_size=\"36930560\"] \n  14 -> 27 [size =\"36930560\"]\n  14 -> 28 [size =\"36930560\"]\n  14 -> 31 [size =\"36930560\"]\n  14 -> 34 [size =\"36930560\"]\n  14 -> 38 [size =\"36930560\"]\n  14 -> 39 [size =\"36930560\"]\n  15 [size=\"33200128\", alpha=\"0.04\", expect_size=\"16600064\"] \n  15 -> 24 [size =\"16600064\"]\n  15 -> 26 [size =\"16600064\"]\n  15 -> 27 [size =\"16600064\"]\n  15 -> 31 [size =\"16600064\"]\n  15 -> 33 [size =\"16600064\"]\n  15 -> 36 [size =\"16600064\"]\n  15 -> 38 [size =\"16600064\"]\n  15 -> 39 [size =\"16600064\"]\n  16 [size=\"41308160\", alpha=\"0.08\", expect_size=\"20654080\"] \n  16 -> 24 [size =\"20654080\"]\n  16 -> 27 [size =\"20654080\"]\n  16 -> 27 [size =\"20654080\"]\n  16 -> 28 [size =\"20654080\"]\n  16 -> 30 [size =\"20654080\"]\n  16 -> 38 [size =\"20654080\"]\n  16 -> 38 [size =\"20654080\"]\n  16 -> 39 [size =\"20654080\"]\n  17 [size=\"72724480\", alpha=\"0.19\", expect_size=\"36362240\"] \n  17 -> 25 [size =\"36362240\"]\n  17 -> 27 [size =\"36362240\"]\n  17 -> 30 [size =\"36362240\"]\n  17 -> 33 [size =\"36362240\"]\n  17 -> 36 [size =\"36362240\"]\n  17 -> 39 [size =\"36362240\"]\n  18 [size=\"33460224\", alpha=\"0.06\", expect_size=\"16730112\"] \n  18 -> 28 [size =\"16730112\"]\n  18 -> 30 [size =\"16730112\"]\n  18 -> 31 [size =\"16730112\"]\n  18 -> 33 [size =\"16730112\"]\n  18 -> 36 [size =\"16730112\"]\n  18 -> 37 [size =\"16730112\"]\n  19 [size=\"27574272\", alpha=\"0.11\", expect_size=\"13787136\"] \n  19 -> 25 [size =\"13787136\"]\n  19 -> 28 [size =\"13787136\"]\n  19 -> 33 [size =\"13787136\"]\n  20 [size=\"63223808\", alpha=\"0.17\", expect_size=\"31611904\"] \n  20 -> 26 [size =\"31611904\"]\n  20 -> 27 [size =\"31611904\"]\n  20 -> 34 [size =\"31611904\"]\n  20 -> 35 [size =\"31611904\"]\n  20 -> 36 [size =\"31611904\"]\n  20 -> 37 [size =\"31611904\"]\n  21 [size=\"29843456\", alpha=\"0.03\", expect_size=\"14921728\"] \n  21 -> 24 [size =\"14921728\"]\n  21 -> 28 [size =\"14921728\"]\n  21 -> 34 [size =\"14921728\"]\n  21 -> 36 [size =\"14921728\"]\n  21 -> 37 [size =\"14921728\"]\n  21 -> 38 [size =\"14921728\"]\n  21 -> 39 [size =\"14921728\"]\n  22 [size=\"10745856\", alpha=\"0.04\", expect_size=\"5372928\"] \n  22 -> 24 [size =\"5372928\"]\n  22 -> 28 [size =\"5372928\"]\n  22 -> 33 [size =\"5372928\"]\n  22 -> 34 [size =\"5372928\"]\n  22 -> 37 [size =\"5372928\"]\n  22 -> 39 [size =\"5372928\"]\n  22 -> 40 [size =\"5372928\"]\n  23 [size=\"37115904\", alpha=\"0.13\", expect_size=\"18557952\"] \n  23 -> 25 [size =\"18557952\"]\n  23 -> 31 [size =\"18557952\"]\n  23 -> 33 [size =\"18557952\"]\n  23 -> 35 [size =\"18557952\"]\n  23 -> 36 [size =\"18557952\"]\n  23 -> 39 [size =\"18557952\"]\n  24 [size=\"22956032\", alpha=\"0.07\", expect_size=\"11478016\"] \n  25 [size=\"35018752\", alpha=\"0.15\", expect_size=\"17509376\"] \n  26 [size=\"52672512\", alpha=\"0.17\", expect_size=\"26336256\"] \n  27 [size=\"92594176\", alpha=\"0.11\", expect_size=\"46297088\"] \n  28 [size=\"85776384\", alpha=\"0.15\", expect_size=\"42888192\"] \n  29 [size=\"19781632\", alpha=\"0.13\", expect_size=\"9890816\"] \n  30 [size=\"71819264\", alpha=\"0.16\", expect_size=\"35909632\"] \n  31 [size=\"59828224\", alpha=\"0.01\", expect_size=\"29914112\"] \n  32 [size=\"71882752\", alpha=\"0.13\", expect_size=\"35941376\"] \n  33 [size=\"91652096\", alpha=\"0.02\", expect_size=\"45826048\"] \n  34 [size=\"57692160\", alpha=\"0.05\", expect_size=\"28846080\"] \n  35 [size=\"92241920\", alpha=\"0.13\", expect_size=\"46120960\"] \n  36 [size=\"70473728\", alpha=\"0.07\", expect_size=\"35236864\"] \n  37 [size=\"56270848\", alpha=\"0.14\", expect_size=\"28135424\"] \n  38 [size=\"13004800\", alpha=\"0.07\", expect_size=\"6502400\"] \n  39 [size=\"84191232\", alpha=\"0.03\", expect_size=\"42095616\"] \n  40 [size=\"51533824\", alpha=\"0.10\", expect_size=\"25766912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113387520\", alpha=\"0.05\", expect_size=\"34016256\"] \n  2 [size=\"32873813\", alpha=\"0.05\", expect_size=\"9862144\"] \n  2 -> 5 [size =\"9862144\"]\n  3 [size=\"145425067\", alpha=\"0.12\", expect_size=\"43627520\"] \n  3 -> 4 [size =\"43627520\"]\n  3 -> 5 [size =\"43627520\"]\n  4 [size=\"114851840\", alpha=\"0.17\", expect_size=\"34455552\"] \n  4 -> 6 [size =\"34455552\"]\n  5 [size=\"21589333\", alpha=\"0.02\", expect_size=\"6476800\"] \n  5 -> 7 [size =\"6476800\"]\n  6 [size=\"26760533\", alpha=\"0.12\", expect_size=\"8028160\"] \n  6 -> 10 [size =\"8028160\"]\n  7 [size=\"67949227\", alpha=\"0.16\", expect_size=\"20384768\"] \n  7 -> 8 [size =\"20384768\"]\n  7 -> 9 [size =\"20384768\"]\n  8 [size=\"139045547\", alpha=\"0.01\", expect_size=\"41713664\"] \n  8 -> 11 [size =\"41713664\"]\n  9 [size=\"156334080\", alpha=\"0.05\", expect_size=\"46900224\"] \n  10 [size=\"101246293\", alpha=\"0.13\", expect_size=\"30373888\"] \n  10 -> 12 [size =\"30373888\"]\n  11 [size=\"52971520\", alpha=\"0.16\", expect_size=\"15891456\"] \n  11 -> 13 [size =\"15891456\"]\n  11 -> 14 [size =\"15891456\"]\n  12 [size=\"91064320\", alpha=\"0.06\", expect_size=\"27319296\"] \n  12 -> 13 [size =\"27319296\"]\n  13 [size=\"129812480\", alpha=\"0.14\", expect_size=\"38943744\"] \n  13 -> 15 [size =\"38943744\"]\n  13 -> 16 [size =\"38943744\"]\n  13 -> 17 [size =\"38943744\"]\n  14 [size=\"64880640\", alpha=\"0.15\", expect_size=\"19464192\"] \n  14 -> 16 [size =\"19464192\"]\n  15 [size=\"37693440\", alpha=\"0.15\", expect_size=\"11308032\"] \n  15 -> 18 [size =\"11308032\"]\n  15 -> 19 [size =\"11308032\"]\n  16 [size=\"51674453\", alpha=\"0.11\", expect_size=\"15502336\"] \n  17 [size=\"143452160\", alpha=\"0.02\", expect_size=\"43035648\"] \n  17 -> 19 [size =\"43035648\"]\n  18 [size=\"108581547\", alpha=\"0.17\", expect_size=\"32574464\"] \n  18 -> 21 [size =\"32574464\"]\n  19 [size=\"118459733\", alpha=\"0.03\", expect_size=\"35537920\"] \n  19 -> 20 [size =\"35537920\"]\n  19 -> 21 [size =\"35537920\"]\n  20 [size=\"154501120\", alpha=\"0.19\", expect_size=\"46350336\"] \n  20 -> 23 [size =\"46350336\"]\n  21 [size=\"102703787\", alpha=\"0.07\", expect_size=\"30811136\"] \n  21 -> 22 [size =\"30811136\"]\n  22 [size=\"74123947\", alpha=\"0.17\", expect_size=\"22237184\"] \n  22 -> 24 [size =\"22237184\"]\n  23 [size=\"120852480\", alpha=\"0.03\", expect_size=\"36255744\"] \n  23 -> 25 [size =\"36255744\"]\n  24 [size=\"70567253\", alpha=\"0.01\", expect_size=\"21170176\"] \n  24 -> 26 [size =\"21170176\"]\n  24 -> 27 [size =\"21170176\"]\n  25 [size=\"27671893\", alpha=\"0.00\", expect_size=\"8301568\"] \n  25 -> 26 [size =\"8301568\"]\n  26 [size=\"146582187\", alpha=\"0.01\", expect_size=\"43974656\"] \n  27 [size=\"79250773\", alpha=\"0.07\", expect_size=\"23775232\"] \n  27 -> 28 [size =\"23775232\"]\n  27 -> 29 [size =\"23775232\"]\n  27 -> 30 [size =\"23775232\"]\n  28 [size=\"92805120\", alpha=\"0.10\", expect_size=\"27841536\"] \n  29 [size=\"66614613\", alpha=\"0.09\", expect_size=\"19984384\"] \n  29 -> 31 [size =\"19984384\"]\n  29 -> 32 [size =\"19984384\"]\n  30 [size=\"90671787\", alpha=\"0.20\", expect_size=\"27201536\"] \n  31 [size=\"81326080\", alpha=\"0.15\", expect_size=\"24397824\"] \n  32 [size=\"134502400\", alpha=\"0.19\", expect_size=\"40350720\"] \n  32 -> 33 [size =\"40350720\"]\n  32 -> 34 [size =\"40350720\"]\n  32 -> 35 [size =\"40350720\"]\n  33 [size=\"108305067\", alpha=\"0.18\", expect_size=\"32491520\"] \n  33 -> 37 [size =\"32491520\"]\n  34 [size=\"130686293\", alpha=\"0.02\", expect_size=\"39205888\"] \n  34 -> 36 [size =\"39205888\"]\n  34 -> 37 [size =\"39205888\"]\n  35 [size=\"141735253\", alpha=\"0.10\", expect_size=\"42520576\"] \n  36 [size=\"145575253\", alpha=\"0.01\", expect_size=\"43672576\"] \n  37 [size=\"151483733\", alpha=\"0.09\", expect_size=\"45445120\"] \n  37 -> 38 [size =\"45445120\"]\n  37 -> 39 [size =\"45445120\"]\n  38 [size=\"52657493\", alpha=\"0.08\", expect_size=\"15797248\"] \n  39 [size=\"127948800\", alpha=\"0.20\", expect_size=\"38384640\"] \n  39 -> 40 [size =\"38384640\"]\n  40 [size=\"44359680\", alpha=\"0.09\", expect_size=\"13307904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91910144\", alpha=\"0.18\", expect_size=\"45955072\"] \n  1 -> 11 [size =\"45955072\"]\n  1 -> 12 [size =\"45955072\"]\n  1 -> 13 [size =\"45955072\"]\n  1 -> 18 [size =\"45955072\"]\n  2 [size=\"37388288\", alpha=\"0.08\", expect_size=\"18694144\"] \n  2 -> 11 [size =\"18694144\"]\n  2 -> 14 [size =\"18694144\"]\n  2 -> 15 [size =\"18694144\"]\n  2 -> 16 [size =\"18694144\"]\n  2 -> 18 [size =\"18694144\"]\n  2 -> 20 [size =\"18694144\"]\n  2 -> 21 [size =\"18694144\"]\n  2 -> 23 [size =\"18694144\"]\n  3 [size=\"86343680\", alpha=\"0.18\", expect_size=\"43171840\"] \n  3 -> 11 [size =\"43171840\"]\n  3 -> 20 [size =\"43171840\"]\n  3 -> 23 [size =\"43171840\"]\n  4 [size=\"36012032\", alpha=\"0.08\", expect_size=\"18006016\"] \n  4 -> 12 [size =\"18006016\"]\n  4 -> 15 [size =\"18006016\"]\n  4 -> 16 [size =\"18006016\"]\n  4 -> 22 [size =\"18006016\"]\n  5 [size=\"39344128\", alpha=\"0.00\", expect_size=\"19672064\"] \n  5 -> 12 [size =\"19672064\"]\n  5 -> 13 [size =\"19672064\"]\n  5 -> 21 [size =\"19672064\"]\n  5 -> 23 [size =\"19672064\"]\n  6 [size=\"55109632\", alpha=\"0.14\", expect_size=\"27554816\"] \n  6 -> 12 [size =\"27554816\"]\n  6 -> 13 [size =\"27554816\"]\n  6 -> 17 [size =\"27554816\"]\n  6 -> 18 [size =\"27554816\"]\n  7 [size=\"46983168\", alpha=\"0.16\", expect_size=\"23491584\"] \n  7 -> 15 [size =\"23491584\"]\n  7 -> 17 [size =\"23491584\"]\n  7 -> 17 [size =\"23491584\"]\n  7 -> 19 [size =\"23491584\"]\n  7 -> 20 [size =\"23491584\"]\n  8 [size=\"43063296\", alpha=\"0.10\", expect_size=\"21531648\"] \n  8 -> 12 [size =\"21531648\"]\n  8 -> 15 [size =\"21531648\"]\n  8 -> 16 [size =\"21531648\"]\n  8 -> 17 [size =\"21531648\"]\n  8 -> 18 [size =\"21531648\"]\n  9 [size=\"32829440\", alpha=\"0.15\", expect_size=\"16414720\"] \n  9 -> 12 [size =\"16414720\"]\n  9 -> 13 [size =\"16414720\"]\n  9 -> 15 [size =\"16414720\"]\n  9 -> 16 [size =\"16414720\"]\n  9 -> 18 [size =\"16414720\"]\n  9 -> 19 [size =\"16414720\"]\n  9 -> 22 [size =\"16414720\"]\n  10 [size=\"51724288\", alpha=\"0.08\", expect_size=\"25862144\"] \n  10 -> 11 [size =\"25862144\"]\n  10 -> 13 [size =\"25862144\"]\n  10 -> 20 [size =\"25862144\"]\n  10 -> 21 [size =\"25862144\"]\n  10 -> 23 [size =\"25862144\"]\n  11 [size=\"45078528\", alpha=\"0.02\", expect_size=\"22539264\"] \n  11 -> 25 [size =\"22539264\"]\n  11 -> 36 [size =\"22539264\"]\n  11 -> 37 [size =\"22539264\"]\n  12 [size=\"37826560\", alpha=\"0.04\", expect_size=\"18913280\"] \n  12 -> 25 [size =\"18913280\"]\n  12 -> 26 [size =\"18913280\"]\n  12 -> 29 [size =\"18913280\"]\n  12 -> 31 [size =\"18913280\"]\n  12 -> 36 [size =\"18913280\"]\n  12 -> 37 [size =\"18913280\"]\n  13 [size=\"76136448\", alpha=\"0.02\", expect_size=\"38068224\"] \n  13 -> 34 [size =\"38068224\"]\n  13 -> 36 [size =\"38068224\"]\n  13 -> 37 [size =\"38068224\"]\n  14 [size=\"64722944\", alpha=\"0.15\", expect_size=\"32361472\"] \n  14 -> 24 [size =\"32361472\"]\n  14 -> 25 [size =\"32361472\"]\n  14 -> 27 [size =\"32361472\"]\n  14 -> 29 [size =\"32361472\"]\n  14 -> 30 [size =\"32361472\"]\n  14 -> 31 [size =\"32361472\"]\n  14 -> 33 [size =\"32361472\"]\n  14 -> 35 [size =\"32361472\"]\n  15 [size=\"101799936\", alpha=\"0.10\", expect_size=\"50899968\"] \n  15 -> 25 [size =\"50899968\"]\n  15 -> 32 [size =\"50899968\"]\n  15 -> 35 [size =\"50899968\"]\n  16 [size=\"102072320\", alpha=\"0.17\", expect_size=\"51036160\"] \n  16 -> 24 [size =\"51036160\"]\n  16 -> 25 [size =\"51036160\"]\n  16 -> 26 [size =\"51036160\"]\n  16 -> 28 [size =\"51036160\"]\n  16 -> 32 [size =\"51036160\"]\n  16 -> 34 [size =\"51036160\"]\n  16 -> 35 [size =\"51036160\"]\n  17 [size=\"75120640\", alpha=\"0.07\", expect_size=\"37560320\"] \n  17 -> 26 [size =\"37560320\"]\n  17 -> 28 [size =\"37560320\"]\n  17 -> 29 [size =\"37560320\"]\n  17 -> 30 [size =\"37560320\"]\n  17 -> 32 [size =\"37560320\"]\n  17 -> 35 [size =\"37560320\"]\n  17 -> 36 [size =\"37560320\"]\n  17 -> 37 [size =\"37560320\"]\n  18 [size=\"54583296\", alpha=\"0.17\", expect_size=\"27291648\"] \n  19 [size=\"103806976\", alpha=\"0.07\", expect_size=\"51903488\"] \n  19 -> 31 [size =\"51903488\"]\n  19 -> 36 [size =\"51903488\"]\n  19 -> 37 [size =\"51903488\"]\n  20 [size=\"82264064\", alpha=\"0.08\", expect_size=\"41132032\"] \n  20 -> 24 [size =\"41132032\"]\n  20 -> 28 [size =\"41132032\"]\n  20 -> 29 [size =\"41132032\"]\n  20 -> 32 [size =\"41132032\"]\n  20 -> 35 [size =\"41132032\"]\n  21 [size=\"26781696\", alpha=\"0.06\", expect_size=\"13390848\"] \n  21 -> 24 [size =\"13390848\"]\n  21 -> 32 [size =\"13390848\"]\n  21 -> 33 [size =\"13390848\"]\n  21 -> 35 [size =\"13390848\"]\n  21 -> 36 [size =\"13390848\"]\n  21 -> 37 [size =\"13390848\"]\n  22 [size=\"37916672\", alpha=\"0.10\", expect_size=\"18958336\"] \n  22 -> 24 [size =\"18958336\"]\n  22 -> 25 [size =\"18958336\"]\n  22 -> 28 [size =\"18958336\"]\n  22 -> 32 [size =\"18958336\"]\n  22 -> 35 [size =\"18958336\"]\n  23 [size=\"55244800\", alpha=\"0.10\", expect_size=\"27622400\"] \n  23 -> 25 [size =\"27622400\"]\n  23 -> 32 [size =\"27622400\"]\n  24 [size=\"66586624\", alpha=\"0.15\", expect_size=\"33293312\"] \n  25 [size=\"43579392\", alpha=\"0.06\", expect_size=\"21789696\"] \n  26 [size=\"88977408\", alpha=\"0.07\", expect_size=\"44488704\"] \n  26 -> 39 [size =\"44488704\"]\n  27 [size=\"76836864\", alpha=\"0.16\", expect_size=\"38418432\"] \n  28 [size=\"16773120\", alpha=\"0.12\", expect_size=\"8386560\"] \n  29 [size=\"99246080\", alpha=\"0.12\", expect_size=\"49623040\"] \n  29 -> 40 [size =\"49623040\"]\n  30 [size=\"36253696\", alpha=\"0.01\", expect_size=\"18126848\"] \n  31 [size=\"72034304\", alpha=\"0.18\", expect_size=\"36017152\"] \n  31 -> 39 [size =\"36017152\"]\n  32 [size=\"99268608\", alpha=\"0.20\", expect_size=\"49634304\"] \n  32 -> 38 [size =\"49634304\"]\n  32 -> 40 [size =\"49634304\"]\n  33 [size=\"50485248\", alpha=\"0.16\", expect_size=\"25242624\"] \n  33 -> 39 [size =\"25242624\"]\n  34 [size=\"95920128\", alpha=\"0.03\", expect_size=\"47960064\"] \n  34 -> 39 [size =\"47960064\"]\n  35 [size=\"72353792\", alpha=\"0.10\", expect_size=\"36176896\"] \n  35 -> 40 [size =\"36176896\"]\n  36 [size=\"103018496\", alpha=\"0.17\", expect_size=\"51509248\"] \n  36 -> 40 [size =\"51509248\"]\n  37 [size=\"43794432\", alpha=\"0.17\", expect_size=\"21897216\"] \n  37 -> 39 [size =\"21897216\"]\n  38 [size=\"25550848\", alpha=\"0.06\", expect_size=\"12775424\"] \n  39 [size=\"80869376\", alpha=\"0.15\", expect_size=\"40434688\"] \n  40 [size=\"43347968\", alpha=\"0.20\", expect_size=\"21673984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32248320\", alpha=\"0.18\", expect_size=\"12899328\"] \n  1 -> 3 [size =\"12899328\"]\n  1 -> 5 [size =\"12899328\"]\n  1 -> 6 [size =\"12899328\"]\n  2 [size=\"47111680\", alpha=\"0.06\", expect_size=\"18844672\"] \n  2 -> 3 [size =\"18844672\"]\n  2 -> 4 [size =\"18844672\"]\n  2 -> 5 [size =\"18844672\"]\n  2 -> 6 [size =\"18844672\"]\n  3 [size=\"46397440\", alpha=\"0.05\", expect_size=\"18558976\"] \n  3 -> 8 [size =\"18558976\"]\n  4 [size=\"106452480\", alpha=\"0.08\", expect_size=\"42580992\"] \n  4 -> 7 [size =\"42580992\"]\n  5 [size=\"61045760\", alpha=\"0.10\", expect_size=\"24418304\"] \n  5 -> 7 [size =\"24418304\"]\n  6 [size=\"109808640\", alpha=\"0.14\", expect_size=\"43923456\"] \n  7 [size=\"58539520\", alpha=\"0.17\", expect_size=\"23415808\"] \n  7 -> 9 [size =\"23415808\"]\n  7 -> 10 [size =\"23415808\"]\n  7 -> 11 [size =\"23415808\"]\n  8 [size=\"16053760\", alpha=\"0.11\", expect_size=\"6421504\"] \n  8 -> 9 [size =\"6421504\"]\n  8 -> 10 [size =\"6421504\"]\n  8 -> 11 [size =\"6421504\"]\n  9 [size=\"24171520\", alpha=\"0.06\", expect_size=\"9668608\"] \n  9 -> 14 [size =\"9668608\"]\n  10 [size=\"44684800\", alpha=\"0.18\", expect_size=\"17873920\"] \n  10 -> 12 [size =\"17873920\"]\n  11 [size=\"21422080\", alpha=\"0.03\", expect_size=\"8568832\"] \n  11 -> 13 [size =\"8568832\"]\n  12 [size=\"125020160\", alpha=\"0.14\", expect_size=\"50008064\"] \n  12 -> 15 [size =\"50008064\"]\n  13 [size=\"43591680\", alpha=\"0.08\", expect_size=\"17436672\"] \n  14 [size=\"70246400\", alpha=\"0.16\", expect_size=\"28098560\"] \n  14 -> 15 [size =\"28098560\"]\n  15 [size=\"116743680\", alpha=\"0.08\", expect_size=\"46697472\"] \n  15 -> 16 [size =\"46697472\"]\n  15 -> 17 [size =\"46697472\"]\n  15 -> 18 [size =\"46697472\"]\n  16 [size=\"55639040\", alpha=\"0.17\", expect_size=\"22255616\"] \n  16 -> 20 [size =\"22255616\"]\n  17 [size=\"23047680\", alpha=\"0.02\", expect_size=\"9219072\"] \n  17 -> 20 [size =\"9219072\"]\n  18 [size=\"125294080\", alpha=\"0.13\", expect_size=\"50117632\"] \n  18 -> 19 [size =\"50117632\"]\n  18 -> 20 [size =\"50117632\"]\n  19 [size=\"70809600\", alpha=\"0.01\", expect_size=\"28323840\"] \n  19 -> 21 [size =\"28323840\"]\n  19 -> 22 [size =\"28323840\"]\n  19 -> 23 [size =\"28323840\"]\n  20 [size=\"105313280\", alpha=\"0.17\", expect_size=\"42125312\"] \n  20 -> 21 [size =\"42125312\"]\n  20 -> 22 [size =\"42125312\"]\n  20 -> 23 [size =\"42125312\"]\n  21 [size=\"94082560\", alpha=\"0.15\", expect_size=\"37633024\"] \n  21 -> 24 [size =\"37633024\"]\n  22 [size=\"111800320\", alpha=\"0.20\", expect_size=\"44720128\"] \n  22 -> 24 [size =\"44720128\"]\n  23 [size=\"73584640\", alpha=\"0.10\", expect_size=\"29433856\"] \n  24 [size=\"120742400\", alpha=\"0.16\", expect_size=\"48296960\"] \n  24 -> 25 [size =\"48296960\"]\n  24 -> 26 [size =\"48296960\"]\n  24 -> 27 [size =\"48296960\"]\n  25 [size=\"99184640\", alpha=\"0.10\", expect_size=\"39673856\"] \n  25 -> 28 [size =\"39673856\"]\n  25 -> 29 [size =\"39673856\"]\n  25 -> 30 [size =\"39673856\"]\n  26 [size=\"27118080\", alpha=\"0.00\", expect_size=\"10847232\"] \n  26 -> 28 [size =\"10847232\"]\n  26 -> 29 [size =\"10847232\"]\n  26 -> 30 [size =\"10847232\"]\n  27 [size=\"130050560\", alpha=\"0.18\", expect_size=\"52020224\"] \n  27 -> 28 [size =\"52020224\"]\n  27 -> 29 [size =\"52020224\"]\n  27 -> 30 [size =\"52020224\"]\n  28 [size=\"21980160\", alpha=\"0.17\", expect_size=\"8792064\"] \n  28 -> 31 [size =\"8792064\"]\n  28 -> 32 [size =\"8792064\"]\n  29 [size=\"100620800\", alpha=\"0.17\", expect_size=\"40248320\"] \n  29 -> 32 [size =\"40248320\"]\n  30 [size=\"108602880\", alpha=\"0.03\", expect_size=\"43441152\"] \n  30 -> 32 [size =\"43441152\"]\n  31 [size=\"89408000\", alpha=\"0.10\", expect_size=\"35763200\"] \n  31 -> 33 [size =\"35763200\"]\n  31 -> 34 [size =\"35763200\"]\n  32 [size=\"62172160\", alpha=\"0.17\", expect_size=\"24868864\"] \n  32 -> 33 [size =\"24868864\"]\n  32 -> 34 [size =\"24868864\"]\n  33 [size=\"60902400\", alpha=\"0.08\", expect_size=\"24360960\"] \n  33 -> 35 [size =\"24360960\"]\n  33 -> 36 [size =\"24360960\"]\n  33 -> 37 [size =\"24360960\"]\n  34 [size=\"118891520\", alpha=\"0.09\", expect_size=\"47556608\"] \n  34 -> 35 [size =\"47556608\"]\n  34 -> 36 [size =\"47556608\"]\n  34 -> 37 [size =\"47556608\"]\n  35 [size=\"93555200\", alpha=\"0.08\", expect_size=\"37422080\"] \n  35 -> 39 [size =\"37422080\"]\n  35 -> 40 [size =\"37422080\"]\n  36 [size=\"32829440\", alpha=\"0.13\", expect_size=\"13131776\"] \n  36 -> 38 [size =\"13131776\"]\n  36 -> 39 [size =\"13131776\"]\n  36 -> 40 [size =\"13131776\"]\n  37 [size=\"33423360\", alpha=\"0.01\", expect_size=\"13369344\"] \n  37 -> 38 [size =\"13369344\"]\n  37 -> 39 [size =\"13369344\"]\n  38 [size=\"22801920\", alpha=\"0.08\", expect_size=\"9120768\"] \n  39 [size=\"121881600\", alpha=\"0.04\", expect_size=\"48752640\"] \n  40 [size=\"105792000\", alpha=\"0.16\", expect_size=\"42316800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82987520\", alpha=\"0.12\", expect_size=\"33195008\"] \n  1 -> 2 [size =\"33195008\"]\n  2 [size=\"22784000\", alpha=\"0.04\", expect_size=\"9113600\"] \n  2 -> 3 [size =\"9113600\"]\n  3 [size=\"50833920\", alpha=\"0.10\", expect_size=\"20333568\"] \n  3 -> 4 [size =\"20333568\"]\n  4 [size=\"25290240\", alpha=\"0.13\", expect_size=\"10116096\"] \n  4 -> 5 [size =\"10116096\"]\n  5 [size=\"77271040\", alpha=\"0.13\", expect_size=\"30908416\"] \n  5 -> 6 [size =\"30908416\"]\n  6 [size=\"102266880\", alpha=\"0.00\", expect_size=\"40906752\"] \n  6 -> 7 [size =\"40906752\"]\n  7 [size=\"21690880\", alpha=\"0.05\", expect_size=\"8676352\"] \n  7 -> 8 [size =\"8676352\"]\n  8 [size=\"51379200\", alpha=\"0.14\", expect_size=\"20551680\"] \n  8 -> 9 [size =\"20551680\"]\n  9 [size=\"122816000\", alpha=\"0.06\", expect_size=\"49126400\"] \n  9 -> 10 [size =\"49126400\"]\n  10 [size=\"28244480\", alpha=\"0.17\", expect_size=\"11297792\"] \n  10 -> 11 [size =\"11297792\"]\n  11 [size=\"27087360\", alpha=\"0.15\", expect_size=\"10834944\"] \n  11 -> 12 [size =\"10834944\"]\n  12 [size=\"95452160\", alpha=\"0.12\", expect_size=\"38180864\"] \n  12 -> 13 [size =\"38180864\"]\n  13 [size=\"117662720\", alpha=\"0.11\", expect_size=\"47065088\"] \n  13 -> 14 [size =\"47065088\"]\n  14 [size=\"56066560\", alpha=\"0.02\", expect_size=\"22426624\"] \n  14 -> 15 [size =\"22426624\"]\n  15 [size=\"16762880\", alpha=\"0.17\", expect_size=\"6705152\"] \n  15 -> 16 [size =\"6705152\"]\n  16 [size=\"93982720\", alpha=\"0.17\", expect_size=\"37593088\"] \n  16 -> 17 [size =\"37593088\"]\n  17 [size=\"96040960\", alpha=\"0.00\", expect_size=\"38416384\"] \n  17 -> 18 [size =\"38416384\"]\n  18 [size=\"125242880\", alpha=\"0.19\", expect_size=\"50097152\"] \n  18 -> 19 [size =\"50097152\"]\n  19 [size=\"92354560\", alpha=\"0.16\", expect_size=\"36941824\"] \n  19 -> 20 [size =\"36941824\"]\n  20 [size=\"127462400\", alpha=\"0.01\", expect_size=\"50984960\"] \n  20 -> 21 [size =\"50984960\"]\n  21 [size=\"109038080\", alpha=\"0.17\", expect_size=\"43615232\"] \n  21 -> 22 [size =\"43615232\"]\n  22 [size=\"78039040\", alpha=\"0.15\", expect_size=\"31215616\"] \n  22 -> 23 [size =\"31215616\"]\n  23 [size=\"32591360\", alpha=\"0.20\", expect_size=\"13036544\"] \n  23 -> 24 [size =\"13036544\"]\n  24 [size=\"95380480\", alpha=\"0.06\", expect_size=\"38152192\"] \n  24 -> 25 [size =\"38152192\"]\n  25 [size=\"104739840\", alpha=\"0.04\", expect_size=\"41895936\"] \n  25 -> 26 [size =\"41895936\"]\n  26 [size=\"85335040\", alpha=\"0.16\", expect_size=\"34134016\"] \n  26 -> 27 [size =\"34134016\"]\n  27 [size=\"69683200\", alpha=\"0.10\", expect_size=\"27873280\"] \n  27 -> 28 [size =\"27873280\"]\n  28 [size=\"72227840\", alpha=\"0.11\", expect_size=\"28891136\"] \n  28 -> 29 [size =\"28891136\"]\n  29 [size=\"64537600\", alpha=\"0.10\", expect_size=\"25815040\"] \n  29 -> 30 [size =\"25815040\"]\n  30 [size=\"43333120\", alpha=\"0.12\", expect_size=\"17333248\"] \n  30 -> 31 [size =\"17333248\"]\n  31 [size=\"49103360\", alpha=\"0.16\", expect_size=\"19641344\"] \n  31 -> 32 [size =\"19641344\"]\n  32 [size=\"33768960\", alpha=\"0.13\", expect_size=\"13507584\"] \n  32 -> 33 [size =\"13507584\"]\n  33 [size=\"124971520\", alpha=\"0.09\", expect_size=\"49988608\"] \n  33 -> 34 [size =\"49988608\"]\n  34 [size=\"124505600\", alpha=\"0.12\", expect_size=\"49802240\"] \n  34 -> 35 [size =\"49802240\"]\n  35 [size=\"44561920\", alpha=\"0.16\", expect_size=\"17824768\"] \n  35 -> 36 [size =\"17824768\"]\n  36 [size=\"67264000\", alpha=\"0.13\", expect_size=\"26905600\"] \n  36 -> 37 [size =\"26905600\"]\n  37 [size=\"45844480\", alpha=\"0.04\", expect_size=\"18337792\"] \n  37 -> 38 [size =\"18337792\"]\n  38 [size=\"106856960\", alpha=\"0.15\", expect_size=\"42742784\"] \n  38 -> 39 [size =\"42742784\"]\n  39 [size=\"52641280\", alpha=\"0.19\", expect_size=\"21056512\"] \n  39 -> 40 [size =\"21056512\"]\n  40 [size=\"110876160\", alpha=\"0.02\", expect_size=\"44350464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112742400\", alpha=\"0.11\", expect_size=\"45096960\"] \n  1 -> 16 [size =\"45096960\"]\n  1 -> 21 [size =\"45096960\"]\n  1 -> 22 [size =\"45096960\"]\n  1 -> 24 [size =\"45096960\"]\n  2 [size=\"81835520\", alpha=\"0.08\", expect_size=\"32734208\"] \n  2 -> 16 [size =\"32734208\"]\n  2 -> 17 [size =\"32734208\"]\n  2 -> 18 [size =\"32734208\"]\n  2 -> 20 [size =\"32734208\"]\n  2 -> 22 [size =\"32734208\"]\n  2 -> 25 [size =\"32734208\"]\n  2 -> 28 [size =\"32734208\"]\n  3 [size=\"61009920\", alpha=\"0.18\", expect_size=\"24403968\"] \n  3 -> 16 [size =\"24403968\"]\n  3 -> 17 [size =\"24403968\"]\n  3 -> 18 [size =\"24403968\"]\n  3 -> 19 [size =\"24403968\"]\n  3 -> 20 [size =\"24403968\"]\n  3 -> 25 [size =\"24403968\"]\n  3 -> 28 [size =\"24403968\"]\n  4 [size=\"104837120\", alpha=\"0.02\", expect_size=\"41934848\"] \n  4 -> 18 [size =\"41934848\"]\n  4 -> 19 [size =\"41934848\"]\n  4 -> 24 [size =\"41934848\"]\n  4 -> 27 [size =\"41934848\"]\n  4 -> 28 [size =\"41934848\"]\n  5 [size=\"88570880\", alpha=\"0.06\", expect_size=\"35428352\"] \n  5 -> 18 [size =\"35428352\"]\n  5 -> 19 [size =\"35428352\"]\n  5 -> 22 [size =\"35428352\"]\n  5 -> 23 [size =\"35428352\"]\n  5 -> 24 [size =\"35428352\"]\n  5 -> 25 [size =\"35428352\"]\n  5 -> 28 [size =\"35428352\"]\n  6 [size=\"30743040\", alpha=\"0.06\", expect_size=\"12297216\"] \n  6 -> 16 [size =\"12297216\"]\n  6 -> 17 [size =\"12297216\"]\n  6 -> 18 [size =\"12297216\"]\n  6 -> 20 [size =\"12297216\"]\n  6 -> 22 [size =\"12297216\"]\n  6 -> 28 [size =\"12297216\"]\n  6 -> 28 [size =\"12297216\"]\n  7 [size=\"75046400\", alpha=\"0.04\", expect_size=\"30018560\"] \n  7 -> 16 [size =\"30018560\"]\n  7 -> 18 [size =\"30018560\"]\n  7 -> 19 [size =\"30018560\"]\n  7 -> 20 [size =\"30018560\"]\n  7 -> 22 [size =\"30018560\"]\n  7 -> 27 [size =\"30018560\"]\n  7 -> 28 [size =\"30018560\"]\n  8 [size=\"29941760\", alpha=\"0.15\", expect_size=\"11976704\"] \n  8 -> 18 [size =\"11976704\"]\n  8 -> 19 [size =\"11976704\"]\n  8 -> 20 [size =\"11976704\"]\n  8 -> 20 [size =\"11976704\"]\n  8 -> 22 [size =\"11976704\"]\n  8 -> 23 [size =\"11976704\"]\n  8 -> 24 [size =\"11976704\"]\n  8 -> 26 [size =\"11976704\"]\n  8 -> 27 [size =\"11976704\"]\n  8 -> 28 [size =\"11976704\"]\n  9 [size=\"92661760\", alpha=\"0.06\", expect_size=\"37064704\"] \n  9 -> 16 [size =\"37064704\"]\n  9 -> 18 [size =\"37064704\"]\n  9 -> 19 [size =\"37064704\"]\n  9 -> 20 [size =\"37064704\"]\n  9 -> 21 [size =\"37064704\"]\n  9 -> 22 [size =\"37064704\"]\n  9 -> 27 [size =\"37064704\"]\n  9 -> 28 [size =\"37064704\"]\n  10 [size=\"65489920\", alpha=\"0.18\", expect_size=\"26195968\"] \n  10 -> 16 [size =\"26195968\"]\n  10 -> 18 [size =\"26195968\"]\n  10 -> 19 [size =\"26195968\"]\n  10 -> 22 [size =\"26195968\"]\n  10 -> 23 [size =\"26195968\"]\n  11 [size=\"59806720\", alpha=\"0.07\", expect_size=\"23922688\"] \n  11 -> 16 [size =\"23922688\"]\n  11 -> 19 [size =\"23922688\"]\n  11 -> 19 [size =\"23922688\"]\n  11 -> 21 [size =\"23922688\"]\n  12 [size=\"121815040\", alpha=\"0.08\", expect_size=\"48726016\"] \n  12 -> 16 [size =\"48726016\"]\n  12 -> 19 [size =\"48726016\"]\n  12 -> 22 [size =\"48726016\"]\n  12 -> 25 [size =\"48726016\"]\n  12 -> 28 [size =\"48726016\"]\n  13 [size=\"50147840\", alpha=\"0.15\", expect_size=\"20059136\"] \n  13 -> 16 [size =\"20059136\"]\n  13 -> 19 [size =\"20059136\"]\n  13 -> 20 [size =\"20059136\"]\n  13 -> 23 [size =\"20059136\"]\n  13 -> 25 [size =\"20059136\"]\n  13 -> 27 [size =\"20059136\"]\n  13 -> 28 [size =\"20059136\"]\n  14 [size=\"38440960\", alpha=\"0.06\", expect_size=\"15376384\"] \n  14 -> 16 [size =\"15376384\"]\n  14 -> 18 [size =\"15376384\"]\n  14 -> 19 [size =\"15376384\"]\n  14 -> 23 [size =\"15376384\"]\n  14 -> 28 [size =\"15376384\"]\n  15 [size=\"47546880\", alpha=\"0.14\", expect_size=\"19018752\"] \n  15 -> 16 [size =\"19018752\"]\n  15 -> 20 [size =\"19018752\"]\n  15 -> 22 [size =\"19018752\"]\n  15 -> 23 [size =\"19018752\"]\n  15 -> 24 [size =\"19018752\"]\n  16 [size=\"82987520\", alpha=\"0.03\", expect_size=\"33195008\"] \n  16 -> 33 [size =\"33195008\"]\n  16 -> 35 [size =\"33195008\"]\n  16 -> 36 [size =\"33195008\"]\n  16 -> 38 [size =\"33195008\"]\n  16 -> 40 [size =\"33195008\"]\n  17 [size=\"119861760\", alpha=\"0.04\", expect_size=\"47944704\"] \n  17 -> 31 [size =\"47944704\"]\n  17 -> 35 [size =\"47944704\"]\n  17 -> 36 [size =\"47944704\"]\n  17 -> 38 [size =\"47944704\"]\n  17 -> 40 [size =\"47944704\"]\n  18 [size=\"26042880\", alpha=\"0.19\", expect_size=\"10417152\"] \n  18 -> 31 [size =\"10417152\"]\n  18 -> 35 [size =\"10417152\"]\n  18 -> 38 [size =\"10417152\"]\n  18 -> 39 [size =\"10417152\"]\n  19 [size=\"114752000\", alpha=\"0.14\", expect_size=\"45900800\"] \n  19 -> 32 [size =\"45900800\"]\n  19 -> 35 [size =\"45900800\"]\n  19 -> 36 [size =\"45900800\"]\n  19 -> 40 [size =\"45900800\"]\n  20 [size=\"34688000\", alpha=\"0.06\", expect_size=\"13875200\"] \n  20 -> 31 [size =\"13875200\"]\n  20 -> 32 [size =\"13875200\"]\n  20 -> 35 [size =\"13875200\"]\n  20 -> 36 [size =\"13875200\"]\n  20 -> 38 [size =\"13875200\"]\n  21 [size=\"20956160\", alpha=\"0.15\", expect_size=\"8382464\"] \n  21 -> 29 [size =\"8382464\"]\n  21 -> 33 [size =\"8382464\"]\n  21 -> 35 [size =\"8382464\"]\n  21 -> 36 [size =\"8382464\"]\n  22 [size=\"61719040\", alpha=\"0.16\", expect_size=\"24687616\"] \n  22 -> 32 [size =\"24687616\"]\n  22 -> 35 [size =\"24687616\"]\n  22 -> 35 [size =\"24687616\"]\n  23 [size=\"108277760\", alpha=\"0.05\", expect_size=\"43311104\"] \n  23 -> 30 [size =\"43311104\"]\n  23 -> 33 [size =\"43311104\"]\n  23 -> 34 [size =\"43311104\"]\n  23 -> 35 [size =\"43311104\"]\n  23 -> 36 [size =\"43311104\"]\n  23 -> 38 [size =\"43311104\"]\n  23 -> 40 [size =\"43311104\"]\n  24 [size=\"78540800\", alpha=\"0.10\", expect_size=\"31416320\"] \n  24 -> 29 [size =\"31416320\"]\n  24 -> 36 [size =\"31416320\"]\n  24 -> 38 [size =\"31416320\"]\n  24 -> 40 [size =\"31416320\"]\n  25 [size=\"116303360\", alpha=\"0.07\", expect_size=\"46521344\"] \n  25 -> 30 [size =\"46521344\"]\n  25 -> 31 [size =\"46521344\"]\n  25 -> 33 [size =\"46521344\"]\n  25 -> 36 [size =\"46521344\"]\n  25 -> 38 [size =\"46521344\"]\n  25 -> 40 [size =\"46521344\"]\n  26 [size=\"81479680\", alpha=\"0.07\", expect_size=\"32591872\"] \n  26 -> 31 [size =\"32591872\"]\n  26 -> 32 [size =\"32591872\"]\n  26 -> 33 [size =\"32591872\"]\n  26 -> 36 [size =\"32591872\"]\n  26 -> 37 [size =\"32591872\"]\n  26 -> 38 [size =\"32591872\"]\n  26 -> 40 [size =\"32591872\"]\n  27 [size=\"97495040\", alpha=\"0.18\", expect_size=\"38998016\"] \n  27 -> 31 [size =\"38998016\"]\n  27 -> 32 [size =\"38998016\"]\n  27 -> 35 [size =\"38998016\"]\n  27 -> 36 [size =\"38998016\"]\n  27 -> 37 [size =\"38998016\"]\n  27 -> 38 [size =\"38998016\"]\n  27 -> 40 [size =\"38998016\"]\n  28 [size=\"123909120\", alpha=\"0.12\", expect_size=\"49563648\"] \n  28 -> 32 [size =\"49563648\"]\n  28 -> 33 [size =\"49563648\"]\n  28 -> 34 [size =\"49563648\"]\n  28 -> 35 [size =\"49563648\"]\n  28 -> 36 [size =\"49563648\"]\n  28 -> 37 [size =\"49563648\"]\n  28 -> 38 [size =\"49563648\"]\n  28 -> 40 [size =\"49563648\"]\n  29 [size=\"115215360\", alpha=\"0.19\", expect_size=\"46086144\"] \n  30 [size=\"79329280\", alpha=\"0.15\", expect_size=\"31731712\"] \n  31 [size=\"116026880\", alpha=\"0.19\", expect_size=\"46410752\"] \n  32 [size=\"89011200\", alpha=\"0.01\", expect_size=\"35604480\"] \n  33 [size=\"67015680\", alpha=\"0.10\", expect_size=\"26806272\"] \n  34 [size=\"97937920\", alpha=\"0.03\", expect_size=\"39175168\"] \n  35 [size=\"37585920\", alpha=\"0.02\", expect_size=\"15034368\"] \n  36 [size=\"79388160\", alpha=\"0.12\", expect_size=\"31755264\"] \n  37 [size=\"123013120\", alpha=\"0.01\", expect_size=\"49205248\"] \n  38 [size=\"112437760\", alpha=\"0.12\", expect_size=\"44975104\"] \n  39 [size=\"64496640\", alpha=\"0.00\", expect_size=\"25798656\"] \n  40 [size=\"58749440\", alpha=\"0.12\", expect_size=\"23499776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19921920\", alpha=\"0.07\", expect_size=\"7968768\"] \n  1 -> 26 [size =\"7968768\"]\n  1 -> 30 [size =\"7968768\"]\n  1 -> 33 [size =\"7968768\"]\n  1 -> 35 [size =\"7968768\"]\n  1 -> 36 [size =\"7968768\"]\n  1 -> 40 [size =\"7968768\"]\n  2 [size=\"68323840\", alpha=\"0.13\", expect_size=\"27329536\"] \n  2 -> 25 [size =\"27329536\"]\n  2 -> 26 [size =\"27329536\"]\n  2 -> 29 [size =\"27329536\"]\n  2 -> 30 [size =\"27329536\"]\n  2 -> 31 [size =\"27329536\"]\n  2 -> 35 [size =\"27329536\"]\n  2 -> 36 [size =\"27329536\"]\n  2 -> 37 [size =\"27329536\"]\n  2 -> 39 [size =\"27329536\"]\n  2 -> 40 [size =\"27329536\"]\n  3 [size=\"13624320\", alpha=\"0.17\", expect_size=\"5449728\"] \n  3 -> 26 [size =\"5449728\"]\n  3 -> 27 [size =\"5449728\"]\n  3 -> 29 [size =\"5449728\"]\n  3 -> 30 [size =\"5449728\"]\n  3 -> 31 [size =\"5449728\"]\n  3 -> 33 [size =\"5449728\"]\n  3 -> 35 [size =\"5449728\"]\n  3 -> 36 [size =\"5449728\"]\n  3 -> 40 [size =\"5449728\"]\n  4 [size=\"98716160\", alpha=\"0.14\", expect_size=\"39486464\"] \n  4 -> 25 [size =\"39486464\"]\n  4 -> 26 [size =\"39486464\"]\n  4 -> 27 [size =\"39486464\"]\n  4 -> 28 [size =\"39486464\"]\n  4 -> 29 [size =\"39486464\"]\n  4 -> 30 [size =\"39486464\"]\n  4 -> 35 [size =\"39486464\"]\n  4 -> 36 [size =\"39486464\"]\n  4 -> 40 [size =\"39486464\"]\n  5 [size=\"79380480\", alpha=\"0.05\", expect_size=\"31752192\"] \n  5 -> 25 [size =\"31752192\"]\n  5 -> 26 [size =\"31752192\"]\n  5 -> 29 [size =\"31752192\"]\n  5 -> 30 [size =\"31752192\"]\n  5 -> 31 [size =\"31752192\"]\n  5 -> 35 [size =\"31752192\"]\n  5 -> 36 [size =\"31752192\"]\n  5 -> 36 [size =\"31752192\"]\n  5 -> 39 [size =\"31752192\"]\n  5 -> 40 [size =\"31752192\"]\n  6 [size=\"111101440\", alpha=\"0.05\", expect_size=\"44440576\"] \n  6 -> 25 [size =\"44440576\"]\n  6 -> 26 [size =\"44440576\"]\n  6 -> 27 [size =\"44440576\"]\n  6 -> 30 [size =\"44440576\"]\n  6 -> 31 [size =\"44440576\"]\n  6 -> 34 [size =\"44440576\"]\n  6 -> 35 [size =\"44440576\"]\n  6 -> 37 [size =\"44440576\"]\n  6 -> 39 [size =\"44440576\"]\n  6 -> 40 [size =\"44440576\"]\n  7 [size=\"67310080\", alpha=\"0.20\", expect_size=\"26924032\"] \n  7 -> 25 [size =\"26924032\"]\n  7 -> 30 [size =\"26924032\"]\n  7 -> 31 [size =\"26924032\"]\n  7 -> 33 [size =\"26924032\"]\n  7 -> 35 [size =\"26924032\"]\n  7 -> 37 [size =\"26924032\"]\n  7 -> 39 [size =\"26924032\"]\n  7 -> 40 [size =\"26924032\"]\n  8 [size=\"125132800\", alpha=\"0.13\", expect_size=\"50053120\"] \n  8 -> 25 [size =\"50053120\"]\n  8 -> 29 [size =\"50053120\"]\n  8 -> 30 [size =\"50053120\"]\n  8 -> 31 [size =\"50053120\"]\n  8 -> 35 [size =\"50053120\"]\n  8 -> 36 [size =\"50053120\"]\n  8 -> 39 [size =\"50053120\"]\n  8 -> 40 [size =\"50053120\"]\n  9 [size=\"92725760\", alpha=\"0.09\", expect_size=\"37090304\"] \n  9 -> 25 [size =\"37090304\"]\n  9 -> 26 [size =\"37090304\"]\n  9 -> 30 [size =\"37090304\"]\n  9 -> 31 [size =\"37090304\"]\n  9 -> 35 [size =\"37090304\"]\n  9 -> 36 [size =\"37090304\"]\n  9 -> 40 [size =\"37090304\"]\n  10 [size=\"66572800\", alpha=\"0.11\", expect_size=\"26629120\"] \n  10 -> 25 [size =\"26629120\"]\n  10 -> 30 [size =\"26629120\"]\n  10 -> 30 [size =\"26629120\"]\n  10 -> 31 [size =\"26629120\"]\n  10 -> 35 [size =\"26629120\"]\n  10 -> 36 [size =\"26629120\"]\n  10 -> 39 [size =\"26629120\"]\n  10 -> 40 [size =\"26629120\"]\n  11 [size=\"112527360\", alpha=\"0.00\", expect_size=\"45010944\"] \n  11 -> 25 [size =\"45010944\"]\n  11 -> 26 [size =\"45010944\"]\n  11 -> 30 [size =\"45010944\"]\n  11 -> 31 [size =\"45010944\"]\n  11 -> 32 [size =\"45010944\"]\n  11 -> 36 [size =\"45010944\"]\n  11 -> 37 [size =\"45010944\"]\n  11 -> 39 [size =\"45010944\"]\n  11 -> 40 [size =\"45010944\"]\n  12 [size=\"33651200\", alpha=\"0.16\", expect_size=\"13460480\"] \n  12 -> 25 [size =\"13460480\"]\n  12 -> 29 [size =\"13460480\"]\n  12 -> 30 [size =\"13460480\"]\n  12 -> 31 [size =\"13460480\"]\n  12 -> 35 [size =\"13460480\"]\n  12 -> 36 [size =\"13460480\"]\n  12 -> 37 [size =\"13460480\"]\n  12 -> 39 [size =\"13460480\"]\n  12 -> 40 [size =\"13460480\"]\n  13 [size=\"109248000\", alpha=\"0.08\", expect_size=\"43699200\"] \n  13 -> 30 [size =\"43699200\"]\n  13 -> 31 [size =\"43699200\"]\n  13 -> 35 [size =\"43699200\"]\n  13 -> 39 [size =\"43699200\"]\n  14 [size=\"94417920\", alpha=\"0.20\", expect_size=\"37767168\"] \n  14 -> 25 [size =\"37767168\"]\n  14 -> 30 [size =\"37767168\"]\n  14 -> 31 [size =\"37767168\"]\n  14 -> 37 [size =\"37767168\"]\n  14 -> 39 [size =\"37767168\"]\n  14 -> 40 [size =\"37767168\"]\n  15 [size=\"56473600\", alpha=\"0.01\", expect_size=\"22589440\"] \n  15 -> 25 [size =\"22589440\"]\n  15 -> 26 [size =\"22589440\"]\n  15 -> 27 [size =\"22589440\"]\n  15 -> 29 [size =\"22589440\"]\n  15 -> 30 [size =\"22589440\"]\n  15 -> 31 [size =\"22589440\"]\n  15 -> 38 [size =\"22589440\"]\n  15 -> 39 [size =\"22589440\"]\n  16 [size=\"86095360\", alpha=\"0.12\", expect_size=\"34438144\"] \n  16 -> 25 [size =\"34438144\"]\n  16 -> 26 [size =\"34438144\"]\n  16 -> 27 [size =\"34438144\"]\n  16 -> 29 [size =\"34438144\"]\n  16 -> 30 [size =\"34438144\"]\n  16 -> 31 [size =\"34438144\"]\n  16 -> 32 [size =\"34438144\"]\n  16 -> 34 [size =\"34438144\"]\n  16 -> 35 [size =\"34438144\"]\n  16 -> 36 [size =\"34438144\"]\n  16 -> 39 [size =\"34438144\"]\n  16 -> 40 [size =\"34438144\"]\n  17 [size=\"116600320\", alpha=\"0.04\", expect_size=\"46640128\"] \n  17 -> 26 [size =\"46640128\"]\n  17 -> 26 [size =\"46640128\"]\n  17 -> 30 [size =\"46640128\"]\n  17 -> 31 [size =\"46640128\"]\n  17 -> 35 [size =\"46640128\"]\n  17 -> 36 [size =\"46640128\"]\n  17 -> 38 [size =\"46640128\"]\n  17 -> 39 [size =\"46640128\"]\n  17 -> 40 [size =\"46640128\"]\n  18 [size=\"116428800\", alpha=\"0.16\", expect_size=\"46571520\"] \n  18 -> 25 [size =\"46571520\"]\n  18 -> 26 [size =\"46571520\"]\n  18 -> 30 [size =\"46571520\"]\n  18 -> 31 [size =\"46571520\"]\n  18 -> 33 [size =\"46571520\"]\n  18 -> 35 [size =\"46571520\"]\n  18 -> 36 [size =\"46571520\"]\n  18 -> 39 [size =\"46571520\"]\n  18 -> 40 [size =\"46571520\"]\n  19 [size=\"77122560\", alpha=\"0.18\", expect_size=\"30849024\"] \n  19 -> 25 [size =\"30849024\"]\n  19 -> 26 [size =\"30849024\"]\n  19 -> 29 [size =\"30849024\"]\n  19 -> 31 [size =\"30849024\"]\n  19 -> 35 [size =\"30849024\"]\n  19 -> 35 [size =\"30849024\"]\n  19 -> 37 [size =\"30849024\"]\n  19 -> 39 [size =\"30849024\"]\n  20 [size=\"13601280\", alpha=\"0.11\", expect_size=\"5440512\"] \n  20 -> 25 [size =\"5440512\"]\n  20 -> 26 [size =\"5440512\"]\n  20 -> 29 [size =\"5440512\"]\n  20 -> 31 [size =\"5440512\"]\n  20 -> 33 [size =\"5440512\"]\n  20 -> 35 [size =\"5440512\"]\n  20 -> 36 [size =\"5440512\"]\n  20 -> 39 [size =\"5440512\"]\n  20 -> 40 [size =\"5440512\"]\n  21 [size=\"75576320\", alpha=\"0.06\", expect_size=\"30230528\"] \n  21 -> 25 [size =\"30230528\"]\n  21 -> 26 [size =\"30230528\"]\n  21 -> 27 [size =\"30230528\"]\n  21 -> 29 [size =\"30230528\"]\n  21 -> 30 [size =\"30230528\"]\n  21 -> 31 [size =\"30230528\"]\n  21 -> 36 [size =\"30230528\"]\n  21 -> 40 [size =\"30230528\"]\n  21 -> 40 [size =\"30230528\"]\n  22 [size=\"76958720\", alpha=\"0.10\", expect_size=\"30783488\"] \n  22 -> 25 [size =\"30783488\"]\n  22 -> 26 [size =\"30783488\"]\n  22 -> 29 [size =\"30783488\"]\n  22 -> 29 [size =\"30783488\"]\n  22 -> 31 [size =\"30783488\"]\n  22 -> 32 [size =\"30783488\"]\n  22 -> 35 [size =\"30783488\"]\n  22 -> 40 [size =\"30783488\"]\n  23 [size=\"55500800\", alpha=\"0.15\", expect_size=\"22200320\"] \n  23 -> 26 [size =\"22200320\"]\n  23 -> 29 [size =\"22200320\"]\n  23 -> 29 [size =\"22200320\"]\n  23 -> 31 [size =\"22200320\"]\n  23 -> 36 [size =\"22200320\"]\n  23 -> 39 [size =\"22200320\"]\n  24 [size=\"102159360\", alpha=\"0.13\", expect_size=\"40863744\"] \n  24 -> 26 [size =\"40863744\"]\n  24 -> 29 [size =\"40863744\"]\n  24 -> 30 [size =\"40863744\"]\n  24 -> 35 [size =\"40863744\"]\n  24 -> 36 [size =\"40863744\"]\n  24 -> 40 [size =\"40863744\"]\n  25 [size=\"99571200\", alpha=\"0.03\", expect_size=\"39828480\"] \n  26 [size=\"104248320\", alpha=\"0.10\", expect_size=\"41699328\"] \n  27 [size=\"54548480\", alpha=\"0.06\", expect_size=\"21819392\"] \n  28 [size=\"80000000\", alpha=\"0.01\", expect_size=\"32000000\"] \n  29 [size=\"58977280\", alpha=\"0.09\", expect_size=\"23590912\"] \n  30 [size=\"46218240\", alpha=\"0.06\", expect_size=\"18487296\"] \n  31 [size=\"113843200\", alpha=\"0.00\", expect_size=\"45537280\"] \n  32 [size=\"32737280\", alpha=\"0.18\", expect_size=\"13094912\"] \n  33 [size=\"94049280\", alpha=\"0.12\", expect_size=\"37619712\"] \n  34 [size=\"62369280\", alpha=\"0.20\", expect_size=\"24947712\"] \n  35 [size=\"23306240\", alpha=\"0.15\", expect_size=\"9322496\"] \n  36 [size=\"43133440\", alpha=\"0.02\", expect_size=\"17253376\"] \n  37 [size=\"101880320\", alpha=\"0.07\", expect_size=\"40752128\"] \n  38 [size=\"17827840\", alpha=\"0.10\", expect_size=\"7131136\"] \n  39 [size=\"20961280\", alpha=\"0.03\", expect_size=\"8384512\"] \n  40 [size=\"72939520\", alpha=\"0.17\", expect_size=\"29175808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20873216\", alpha=\"0.18\", expect_size=\"10436608\"] \n  1 -> 8 [size =\"10436608\"]\n  1 -> 10 [size =\"10436608\"]\n  2 [size=\"14559232\", alpha=\"0.06\", expect_size=\"7279616\"] \n  2 -> 6 [size =\"7279616\"]\n  2 -> 8 [size =\"7279616\"]\n  2 -> 9 [size =\"7279616\"]\n  2 -> 11 [size =\"7279616\"]\n  3 [size=\"14020608\", alpha=\"0.12\", expect_size=\"7010304\"] \n  3 -> 6 [size =\"7010304\"]\n  3 -> 7 [size =\"7010304\"]\n  3 -> 10 [size =\"7010304\"]\n  3 -> 11 [size =\"7010304\"]\n  4 [size=\"90722304\", alpha=\"0.11\", expect_size=\"45361152\"] \n  4 -> 6 [size =\"45361152\"]\n  4 -> 8 [size =\"45361152\"]\n  4 -> 10 [size =\"45361152\"]\n  5 [size=\"19304448\", alpha=\"0.08\", expect_size=\"9652224\"] \n  5 -> 8 [size =\"9652224\"]\n  5 -> 9 [size =\"9652224\"]\n  5 -> 10 [size =\"9652224\"]\n  5 -> 11 [size =\"9652224\"]\n  6 [size=\"27387904\", alpha=\"0.02\", expect_size=\"13693952\"] \n  6 -> 13 [size =\"13693952\"]\n  6 -> 14 [size =\"13693952\"]\n  6 -> 16 [size =\"13693952\"]\n  6 -> 17 [size =\"13693952\"]\n  7 [size=\"17967104\", alpha=\"0.13\", expect_size=\"8983552\"] \n  7 -> 16 [size =\"8983552\"]\n  8 [size=\"16418816\", alpha=\"0.18\", expect_size=\"8209408\"] \n  8 -> 15 [size =\"8209408\"]\n  9 [size=\"83644416\", alpha=\"0.01\", expect_size=\"41822208\"] \n  9 -> 12 [size =\"41822208\"]\n  9 -> 13 [size =\"41822208\"]\n  9 -> 15 [size =\"41822208\"]\n  10 [size=\"54904832\", alpha=\"0.01\", expect_size=\"27452416\"] \n  10 -> 12 [size =\"27452416\"]\n  11 [size=\"29071360\", alpha=\"0.16\", expect_size=\"14535680\"] \n  11 -> 12 [size =\"14535680\"]\n  12 [size=\"18479104\", alpha=\"0.04\", expect_size=\"9239552\"] \n  12 -> 19 [size =\"9239552\"]\n  12 -> 20 [size =\"9239552\"]\n  12 -> 21 [size =\"9239552\"]\n  12 -> 22 [size =\"9239552\"]\n  13 [size=\"44476416\", alpha=\"0.13\", expect_size=\"22238208\"] \n  13 -> 22 [size =\"22238208\"]\n  14 [size=\"101740544\", alpha=\"0.11\", expect_size=\"50870272\"] \n  14 -> 18 [size =\"50870272\"]\n  14 -> 19 [size =\"50870272\"]\n  15 [size=\"61485056\", alpha=\"0.06\", expect_size=\"30742528\"] \n  15 -> 18 [size =\"30742528\"]\n  15 -> 21 [size =\"30742528\"]\n  16 [size=\"98646016\", alpha=\"0.17\", expect_size=\"49323008\"] \n  16 -> 18 [size =\"49323008\"]\n  16 -> 19 [size =\"49323008\"]\n  16 -> 20 [size =\"49323008\"]\n  16 -> 21 [size =\"49323008\"]\n  17 [size=\"14954496\", alpha=\"0.06\", expect_size=\"7477248\"] \n  17 -> 22 [size =\"7477248\"]\n  18 [size=\"74604544\", alpha=\"0.14\", expect_size=\"37302272\"] \n  18 -> 23 [size =\"37302272\"]\n  18 -> 25 [size =\"37302272\"]\n  18 -> 27 [size =\"37302272\"]\n  19 [size=\"66107392\", alpha=\"0.15\", expect_size=\"33053696\"] \n  19 -> 23 [size =\"33053696\"]\n  19 -> 24 [size =\"33053696\"]\n  19 -> 28 [size =\"33053696\"]\n  20 [size=\"69242880\", alpha=\"0.14\", expect_size=\"34621440\"] \n  20 -> 24 [size =\"34621440\"]\n  20 -> 26 [size =\"34621440\"]\n  21 [size=\"74690560\", alpha=\"0.16\", expect_size=\"37345280\"] \n  21 -> 26 [size =\"37345280\"]\n  21 -> 26 [size =\"37345280\"]\n  22 [size=\"55791616\", alpha=\"0.18\", expect_size=\"27895808\"] \n  22 -> 23 [size =\"27895808\"]\n  22 -> 25 [size =\"27895808\"]\n  23 [size=\"72701952\", alpha=\"0.01\", expect_size=\"36350976\"] \n  23 -> 30 [size =\"36350976\"]\n  24 [size=\"39972864\", alpha=\"0.01\", expect_size=\"19986432\"] \n  24 -> 30 [size =\"19986432\"]\n  24 -> 32 [size =\"19986432\"]\n  25 [size=\"93806592\", alpha=\"0.03\", expect_size=\"46903296\"] \n  25 -> 30 [size =\"46903296\"]\n  26 [size=\"28327936\", alpha=\"0.09\", expect_size=\"14163968\"] \n  26 -> 33 [size =\"14163968\"]\n  27 [size=\"15071232\", alpha=\"0.16\", expect_size=\"7535616\"] \n  27 -> 29 [size =\"7535616\"]\n  27 -> 30 [size =\"7535616\"]\n  27 -> 31 [size =\"7535616\"]\n  28 [size=\"43978752\", alpha=\"0.04\", expect_size=\"21989376\"] \n  28 -> 31 [size =\"21989376\"]\n  28 -> 32 [size =\"21989376\"]\n  28 -> 34 [size =\"21989376\"]\n  29 [size=\"15902720\", alpha=\"0.08\", expect_size=\"7951360\"] \n  29 -> 35 [size =\"7951360\"]\n  29 -> 36 [size =\"7951360\"]\n  29 -> 37 [size =\"7951360\"]\n  29 -> 38 [size =\"7951360\"]\n  30 [size=\"87445504\", alpha=\"0.01\", expect_size=\"43722752\"] \n  30 -> 35 [size =\"43722752\"]\n  31 [size=\"60925952\", alpha=\"0.18\", expect_size=\"30462976\"] \n  31 -> 35 [size =\"30462976\"]\n  31 -> 36 [size =\"30462976\"]\n  32 [size=\"41109504\", alpha=\"0.17\", expect_size=\"20554752\"] \n  32 -> 36 [size =\"20554752\"]\n  32 -> 37 [size =\"20554752\"]\n  32 -> 39 [size =\"20554752\"]\n  33 [size=\"32067584\", alpha=\"0.03\", expect_size=\"16033792\"] \n  33 -> 37 [size =\"16033792\"]\n  33 -> 38 [size =\"16033792\"]\n  34 [size=\"37337088\", alpha=\"0.09\", expect_size=\"18668544\"] \n  34 -> 37 [size =\"18668544\"]\n  34 -> 38 [size =\"18668544\"]\n  35 [size=\"42782720\", alpha=\"0.05\", expect_size=\"21391360\"] \n  36 [size=\"57227264\", alpha=\"0.20\", expect_size=\"28613632\"] \n  36 -> 40 [size =\"28613632\"]\n  37 [size=\"97572864\", alpha=\"0.16\", expect_size=\"48786432\"] \n  37 -> 40 [size =\"48786432\"]\n  38 [size=\"76929024\", alpha=\"0.05\", expect_size=\"38464512\"] \n  38 -> 40 [size =\"38464512\"]\n  39 [size=\"95600640\", alpha=\"0.06\", expect_size=\"47800320\"] \n  40 [size=\"38002688\", alpha=\"0.00\", expect_size=\"19001344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24835413\", alpha=\"0.07\", expect_size=\"7450624\"] \n  2 [size=\"155897173\", alpha=\"0.11\", expect_size=\"46769152\"] \n  2 -> 4 [size =\"46769152\"]\n  2 -> 5 [size =\"46769152\"]\n  3 [size=\"28252160\", alpha=\"0.09\", expect_size=\"8475648\"] \n  3 -> 4 [size =\"8475648\"]\n  3 -> 5 [size =\"8475648\"]\n  4 [size=\"34884267\", alpha=\"0.13\", expect_size=\"10465280\"] \n  4 -> 7 [size =\"10465280\"]\n  5 [size=\"133543253\", alpha=\"0.07\", expect_size=\"40062976\"] \n  5 -> 6 [size =\"40062976\"]\n  5 -> 7 [size =\"40062976\"]\n  6 [size=\"23306240\", alpha=\"0.13\", expect_size=\"6991872\"] \n  6 -> 8 [size =\"6991872\"]\n  6 -> 9 [size =\"6991872\"]\n  7 [size=\"84456107\", alpha=\"0.14\", expect_size=\"25336832\"] \n  7 -> 8 [size =\"25336832\"]\n  8 [size=\"153562453\", alpha=\"0.04\", expect_size=\"46068736\"] \n  9 [size=\"53220693\", alpha=\"0.12\", expect_size=\"15966208\"] \n  9 -> 10 [size =\"15966208\"]\n  9 -> 11 [size =\"15966208\"]\n  10 [size=\"115616427\", alpha=\"0.02\", expect_size=\"34684928\"] \n  10 -> 12 [size =\"34684928\"]\n  10 -> 13 [size =\"34684928\"]\n  11 [size=\"67587413\", alpha=\"0.04\", expect_size=\"20276224\"] \n  11 -> 12 [size =\"20276224\"]\n  11 -> 13 [size =\"20276224\"]\n  11 -> 14 [size =\"20276224\"]\n  12 [size=\"124538880\", alpha=\"0.13\", expect_size=\"37361664\"] \n  12 -> 15 [size =\"37361664\"]\n  13 [size=\"52647253\", alpha=\"0.00\", expect_size=\"15794176\"] \n  13 -> 16 [size =\"15794176\"]\n  14 [size=\"126416213\", alpha=\"0.06\", expect_size=\"37924864\"] \n  15 [size=\"70611627\", alpha=\"0.17\", expect_size=\"21183488\"] \n  15 -> 17 [size =\"21183488\"]\n  15 -> 18 [size =\"21183488\"]\n  16 [size=\"128713387\", alpha=\"0.12\", expect_size=\"38614016\"] \n  16 -> 17 [size =\"38614016\"]\n  17 [size=\"72048640\", alpha=\"0.19\", expect_size=\"21614592\"] \n  17 -> 21 [size =\"21614592\"]\n  18 [size=\"22381227\", alpha=\"0.19\", expect_size=\"6714368\"] \n  18 -> 19 [size =\"6714368\"]\n  18 -> 20 [size =\"6714368\"]\n  18 -> 21 [size =\"6714368\"]\n  19 [size=\"56261973\", alpha=\"0.15\", expect_size=\"16878592\"] \n  19 -> 22 [size =\"16878592\"]\n  19 -> 24 [size =\"16878592\"]\n  20 [size=\"148916907\", alpha=\"0.09\", expect_size=\"44675072\"] \n  20 -> 22 [size =\"44675072\"]\n  21 [size=\"166017707\", alpha=\"0.04\", expect_size=\"49805312\"] \n  21 -> 22 [size =\"49805312\"]\n  21 -> 23 [size =\"49805312\"]\n  22 [size=\"44103680\", alpha=\"0.17\", expect_size=\"13231104\"] \n  23 [size=\"149527893\", alpha=\"0.11\", expect_size=\"44858368\"] \n  23 -> 25 [size =\"44858368\"]\n  23 -> 26 [size =\"44858368\"]\n  24 [size=\"152620373\", alpha=\"0.08\", expect_size=\"45786112\"] \n  24 -> 25 [size =\"45786112\"]\n  24 -> 26 [size =\"45786112\"]\n  25 [size=\"39864320\", alpha=\"0.19\", expect_size=\"11959296\"] \n  25 -> 27 [size =\"11959296\"]\n  25 -> 28 [size =\"11959296\"]\n  25 -> 29 [size =\"11959296\"]\n  26 [size=\"19476480\", alpha=\"0.11\", expect_size=\"5842944\"] \n  26 -> 27 [size =\"5842944\"]\n  26 -> 28 [size =\"5842944\"]\n  26 -> 29 [size =\"5842944\"]\n  27 [size=\"112708267\", alpha=\"0.11\", expect_size=\"33812480\"] \n  27 -> 30 [size =\"33812480\"]\n  27 -> 31 [size =\"33812480\"]\n  28 [size=\"105233067\", alpha=\"0.09\", expect_size=\"31569920\"] \n  28 -> 30 [size =\"31569920\"]\n  28 -> 31 [size =\"31569920\"]\n  29 [size=\"95593813\", alpha=\"0.11\", expect_size=\"28678144\"] \n  29 -> 30 [size =\"28678144\"]\n  29 -> 31 [size =\"28678144\"]\n  30 [size=\"55835307\", alpha=\"0.06\", expect_size=\"16750592\"] \n  30 -> 32 [size =\"16750592\"]\n  30 -> 33 [size =\"16750592\"]\n  31 [size=\"128228693\", alpha=\"0.07\", expect_size=\"38468608\"] \n  31 -> 32 [size =\"38468608\"]\n  31 -> 33 [size =\"38468608\"]\n  32 [size=\"162846720\", alpha=\"0.02\", expect_size=\"48854016\"] \n  32 -> 34 [size =\"48854016\"]\n  32 -> 35 [size =\"48854016\"]\n  32 -> 36 [size =\"48854016\"]\n  33 [size=\"140827307\", alpha=\"0.01\", expect_size=\"42248192\"] \n  33 -> 34 [size =\"42248192\"]\n  33 -> 36 [size =\"42248192\"]\n  34 [size=\"72946347\", alpha=\"0.14\", expect_size=\"21883904\"] \n  34 -> 37 [size =\"21883904\"]\n  34 -> 38 [size =\"21883904\"]\n  35 [size=\"133905067\", alpha=\"0.14\", expect_size=\"40171520\"] \n  35 -> 37 [size =\"40171520\"]\n  36 [size=\"125194240\", alpha=\"0.08\", expect_size=\"37558272\"] \n  36 -> 37 [size =\"37558272\"]\n  36 -> 38 [size =\"37558272\"]\n  36 -> 39 [size =\"37558272\"]\n  37 [size=\"52647253\", alpha=\"0.09\", expect_size=\"15794176\"] \n  37 -> 40 [size =\"15794176\"]\n  38 [size=\"140533760\", alpha=\"0.10\", expect_size=\"42160128\"] \n  38 -> 40 [size =\"42160128\"]\n  39 [size=\"53080747\", alpha=\"0.16\", expect_size=\"15924224\"] \n  39 -> 40 [size =\"15924224\"]\n  40 [size=\"140612267\", alpha=\"0.20\", expect_size=\"42183680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44971520\", alpha=\"0.11\", expect_size=\"17988608\"] \n  1 -> 36 [size =\"17988608\"]\n  1 -> 37 [size =\"17988608\"]\n  1 -> 38 [size =\"17988608\"]\n  1 -> 39 [size =\"17988608\"]\n  2 [size=\"113789440\", alpha=\"0.16\", expect_size=\"45515776\"] \n  2 -> 37 [size =\"45515776\"]\n  2 -> 37 [size =\"45515776\"]\n  2 -> 38 [size =\"45515776\"]\n  2 -> 39 [size =\"45515776\"]\n  3 [size=\"40102400\", alpha=\"0.08\", expect_size=\"16040960\"] \n  3 -> 36 [size =\"16040960\"]\n  3 -> 38 [size =\"16040960\"]\n  3 -> 38 [size =\"16040960\"]\n  4 [size=\"116462080\", alpha=\"0.18\", expect_size=\"46584832\"] \n  4 -> 36 [size =\"46584832\"]\n  4 -> 38 [size =\"46584832\"]\n  4 -> 40 [size =\"46584832\"]\n  5 [size=\"16816640\", alpha=\"0.09\", expect_size=\"6726656\"] \n  5 -> 36 [size =\"6726656\"]\n  5 -> 38 [size =\"6726656\"]\n  5 -> 39 [size =\"6726656\"]\n  5 -> 40 [size =\"6726656\"]\n  6 [size=\"118251520\", alpha=\"0.08\", expect_size=\"47300608\"] \n  6 -> 38 [size =\"47300608\"]\n  6 -> 38 [size =\"47300608\"]\n  6 -> 39 [size =\"47300608\"]\n  6 -> 40 [size =\"47300608\"]\n  7 [size=\"101898240\", alpha=\"0.16\", expect_size=\"40759296\"] \n  7 -> 38 [size =\"40759296\"]\n  7 -> 39 [size =\"40759296\"]\n  7 -> 40 [size =\"40759296\"]\n  8 [size=\"64773120\", alpha=\"0.02\", expect_size=\"25909248\"] \n  8 -> 37 [size =\"25909248\"]\n  8 -> 39 [size =\"25909248\"]\n  8 -> 40 [size =\"25909248\"]\n  9 [size=\"15203840\", alpha=\"0.16\", expect_size=\"6081536\"] \n  9 -> 37 [size =\"6081536\"]\n  10 [size=\"38118400\", alpha=\"0.16\", expect_size=\"15247360\"] \n  11 [size=\"42977280\", alpha=\"0.02\", expect_size=\"17190912\"] \n  11 -> 36 [size =\"17190912\"]\n  11 -> 38 [size =\"17190912\"]\n  11 -> 39 [size =\"17190912\"]\n  11 -> 40 [size =\"17190912\"]\n  12 [size=\"109793280\", alpha=\"0.07\", expect_size=\"43917312\"] \n  12 -> 38 [size =\"43917312\"]\n  12 -> 39 [size =\"43917312\"]\n  13 [size=\"88486400\", alpha=\"0.05\", expect_size=\"35394560\"] \n  13 -> 40 [size =\"35394560\"]\n  14 [size=\"18882560\", alpha=\"0.09\", expect_size=\"7553024\"] \n  14 -> 36 [size =\"7553024\"]\n  14 -> 37 [size =\"7553024\"]\n  14 -> 38 [size =\"7553024\"]\n  14 -> 40 [size =\"7553024\"]\n  15 [size=\"122990080\", alpha=\"0.17\", expect_size=\"49196032\"] \n  15 -> 40 [size =\"49196032\"]\n  16 [size=\"60915200\", alpha=\"0.03\", expect_size=\"24366080\"] \n  16 -> 40 [size =\"24366080\"]\n  17 [size=\"108254720\", alpha=\"0.10\", expect_size=\"43301888\"] \n  17 -> 36 [size =\"43301888\"]\n  17 -> 38 [size =\"43301888\"]\n  17 -> 40 [size =\"43301888\"]\n  18 [size=\"85143040\", alpha=\"0.01\", expect_size=\"34057216\"] \n  18 -> 36 [size =\"34057216\"]\n  18 -> 38 [size =\"34057216\"]\n  18 -> 39 [size =\"34057216\"]\n  19 [size=\"94243840\", alpha=\"0.18\", expect_size=\"37697536\"] \n  19 -> 36 [size =\"37697536\"]\n  19 -> 39 [size =\"37697536\"]\n  19 -> 40 [size =\"37697536\"]\n  20 [size=\"73413120\", alpha=\"0.11\", expect_size=\"29365248\"] \n  20 -> 36 [size =\"29365248\"]\n  20 -> 40 [size =\"29365248\"]\n  21 [size=\"52096000\", alpha=\"0.09\", expect_size=\"20838400\"] \n  21 -> 36 [size =\"20838400\"]\n  21 -> 38 [size =\"20838400\"]\n  21 -> 40 [size =\"20838400\"]\n  22 [size=\"62064640\", alpha=\"0.05\", expect_size=\"24825856\"] \n  22 -> 38 [size =\"24825856\"]\n  22 -> 39 [size =\"24825856\"]\n  22 -> 40 [size =\"24825856\"]\n  23 [size=\"101401600\", alpha=\"0.05\", expect_size=\"40560640\"] \n  23 -> 36 [size =\"40560640\"]\n  23 -> 37 [size =\"40560640\"]\n  23 -> 39 [size =\"40560640\"]\n  24 [size=\"130670080\", alpha=\"0.02\", expect_size=\"52268032\"] \n  24 -> 38 [size =\"52268032\"]\n  24 -> 39 [size =\"52268032\"]\n  24 -> 40 [size =\"52268032\"]\n  25 [size=\"63979520\", alpha=\"0.00\", expect_size=\"25591808\"] \n  25 -> 36 [size =\"25591808\"]\n  25 -> 38 [size =\"25591808\"]\n  26 [size=\"44385280\", alpha=\"0.16\", expect_size=\"17754112\"] \n  26 -> 38 [size =\"17754112\"]\n  26 -> 38 [size =\"17754112\"]\n  26 -> 40 [size =\"17754112\"]\n  27 [size=\"61560320\", alpha=\"0.07\", expect_size=\"24624128\"] \n  27 -> 38 [size =\"24624128\"]\n  27 -> 39 [size =\"24624128\"]\n  27 -> 40 [size =\"24624128\"]\n  28 [size=\"120573440\", alpha=\"0.07\", expect_size=\"48229376\"] \n  28 -> 38 [size =\"48229376\"]\n  28 -> 39 [size =\"48229376\"]\n  28 -> 40 [size =\"48229376\"]\n  29 [size=\"123681280\", alpha=\"0.08\", expect_size=\"49472512\"] \n  30 [size=\"109698560\", alpha=\"0.12\", expect_size=\"43879424\"] \n  30 -> 38 [size =\"43879424\"]\n  30 -> 40 [size =\"43879424\"]\n  31 [size=\"54438400\", alpha=\"0.01\", expect_size=\"21775360\"] \n  31 -> 40 [size =\"21775360\"]\n  32 [size=\"107735040\", alpha=\"0.07\", expect_size=\"43094016\"] \n  32 -> 39 [size =\"43094016\"]\n  32 -> 40 [size =\"43094016\"]\n  33 [size=\"16376320\", alpha=\"0.06\", expect_size=\"6550528\"] \n  34 [size=\"43287040\", alpha=\"0.06\", expect_size=\"17314816\"] \n  34 -> 38 [size =\"17314816\"]\n  34 -> 39 [size =\"17314816\"]\n  34 -> 40 [size =\"17314816\"]\n  35 [size=\"55895040\", alpha=\"0.04\", expect_size=\"22358016\"] \n  35 -> 36 [size =\"22358016\"]\n  35 -> 37 [size =\"22358016\"]\n  35 -> 38 [size =\"22358016\"]\n  35 -> 39 [size =\"22358016\"]\n  35 -> 40 [size =\"22358016\"]\n  36 [size=\"57909760\", alpha=\"0.10\", expect_size=\"23163904\"] \n  37 [size=\"36513280\", alpha=\"0.13\", expect_size=\"14605312\"] \n  38 [size=\"80494080\", alpha=\"0.08\", expect_size=\"32197632\"] \n  39 [size=\"123558400\", alpha=\"0.16\", expect_size=\"49423360\"] \n  40 [size=\"49835520\", alpha=\"0.15\", expect_size=\"19934208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120076800\", alpha=\"0.06\", expect_size=\"48030720\"] \n  1 -> 18 [size =\"48030720\"]\n  1 -> 20 [size =\"48030720\"]\n  1 -> 22 [size =\"48030720\"]\n  1 -> 23 [size =\"48030720\"]\n  1 -> 32 [size =\"48030720\"]\n  2 [size=\"127818240\", alpha=\"0.07\", expect_size=\"51127296\"] \n  2 -> 16 [size =\"51127296\"]\n  2 -> 20 [size =\"51127296\"]\n  2 -> 22 [size =\"51127296\"]\n  2 -> 26 [size =\"51127296\"]\n  2 -> 30 [size =\"51127296\"]\n  2 -> 32 [size =\"51127296\"]\n  3 [size=\"23193600\", alpha=\"0.14\", expect_size=\"9277440\"] \n  3 -> 22 [size =\"9277440\"]\n  3 -> 25 [size =\"9277440\"]\n  3 -> 27 [size =\"9277440\"]\n  3 -> 30 [size =\"9277440\"]\n  3 -> 31 [size =\"9277440\"]\n  3 -> 32 [size =\"9277440\"]\n  4 [size=\"129973760\", alpha=\"0.10\", expect_size=\"51989504\"] \n  4 -> 22 [size =\"51989504\"]\n  4 -> 27 [size =\"51989504\"]\n  4 -> 29 [size =\"51989504\"]\n  4 -> 30 [size =\"51989504\"]\n  5 [size=\"109854720\", alpha=\"0.08\", expect_size=\"43941888\"] \n  5 -> 21 [size =\"43941888\"]\n  5 -> 22 [size =\"43941888\"]\n  5 -> 28 [size =\"43941888\"]\n  5 -> 30 [size =\"43941888\"]\n  6 [size=\"36679680\", alpha=\"0.08\", expect_size=\"14671872\"] \n  6 -> 16 [size =\"14671872\"]\n  6 -> 19 [size =\"14671872\"]\n  6 -> 22 [size =\"14671872\"]\n  6 -> 25 [size =\"14671872\"]\n  6 -> 28 [size =\"14671872\"]\n  6 -> 30 [size =\"14671872\"]\n  6 -> 32 [size =\"14671872\"]\n  7 [size=\"67947520\", alpha=\"0.04\", expect_size=\"27179008\"] \n  7 -> 17 [size =\"27179008\"]\n  7 -> 24 [size =\"27179008\"]\n  7 -> 30 [size =\"27179008\"]\n  7 -> 32 [size =\"27179008\"]\n  8 [size=\"70568960\", alpha=\"0.19\", expect_size=\"28227584\"] \n  8 -> 19 [size =\"28227584\"]\n  8 -> 28 [size =\"28227584\"]\n  8 -> 30 [size =\"28227584\"]\n  8 -> 32 [size =\"28227584\"]\n  9 [size=\"101337600\", alpha=\"0.07\", expect_size=\"40535040\"] \n  9 -> 16 [size =\"40535040\"]\n  9 -> 22 [size =\"40535040\"]\n  9 -> 24 [size =\"40535040\"]\n  9 -> 25 [size =\"40535040\"]\n  9 -> 26 [size =\"40535040\"]\n  9 -> 28 [size =\"40535040\"]\n  9 -> 29 [size =\"40535040\"]\n  9 -> 30 [size =\"40535040\"]\n  9 -> 32 [size =\"40535040\"]\n  10 [size=\"58406400\", alpha=\"0.04\", expect_size=\"23362560\"] \n  10 -> 17 [size =\"23362560\"]\n  10 -> 25 [size =\"23362560\"]\n  10 -> 28 [size =\"23362560\"]\n  10 -> 29 [size =\"23362560\"]\n  10 -> 30 [size =\"23362560\"]\n  10 -> 32 [size =\"23362560\"]\n  11 [size=\"102694400\", alpha=\"0.13\", expect_size=\"41077760\"] \n  11 -> 20 [size =\"41077760\"]\n  11 -> 23 [size =\"41077760\"]\n  11 -> 25 [size =\"41077760\"]\n  11 -> 30 [size =\"41077760\"]\n  11 -> 32 [size =\"41077760\"]\n  12 [size=\"19555840\", alpha=\"0.01\", expect_size=\"7822336\"] \n  12 -> 27 [size =\"7822336\"]\n  12 -> 28 [size =\"7822336\"]\n  12 -> 31 [size =\"7822336\"]\n  13 [size=\"59668480\", alpha=\"0.10\", expect_size=\"23867392\"] \n  13 -> 21 [size =\"23867392\"]\n  13 -> 23 [size =\"23867392\"]\n  14 [size=\"24320000\", alpha=\"0.20\", expect_size=\"9728000\"] \n  14 -> 16 [size =\"9728000\"]\n  14 -> 20 [size =\"9728000\"]\n  14 -> 21 [size =\"9728000\"]\n  14 -> 22 [size =\"9728000\"]\n  14 -> 25 [size =\"9728000\"]\n  14 -> 27 [size =\"9728000\"]\n  14 -> 32 [size =\"9728000\"]\n  15 [size=\"85114880\", alpha=\"0.07\", expect_size=\"34045952\"] \n  15 -> 17 [size =\"34045952\"]\n  15 -> 22 [size =\"34045952\"]\n  15 -> 23 [size =\"34045952\"]\n  15 -> 27 [size =\"34045952\"]\n  15 -> 28 [size =\"34045952\"]\n  15 -> 29 [size =\"34045952\"]\n  15 -> 30 [size =\"34045952\"]\n  15 -> 32 [size =\"34045952\"]\n  16 [size=\"16808960\", alpha=\"0.01\", expect_size=\"6723584\"] \n  16 -> 35 [size =\"6723584\"]\n  16 -> 36 [size =\"6723584\"]\n  16 -> 38 [size =\"6723584\"]\n  17 [size=\"63887360\", alpha=\"0.15\", expect_size=\"25554944\"] \n  17 -> 33 [size =\"25554944\"]\n  17 -> 37 [size =\"25554944\"]\n  17 -> 38 [size =\"25554944\"]\n  18 [size=\"85434880\", alpha=\"0.16\", expect_size=\"34173952\"] \n  18 -> 33 [size =\"34173952\"]\n  18 -> 37 [size =\"34173952\"]\n  19 [size=\"78443520\", alpha=\"0.17\", expect_size=\"31377408\"] \n  19 -> 33 [size =\"31377408\"]\n  19 -> 37 [size =\"31377408\"]\n  20 [size=\"119068160\", alpha=\"0.11\", expect_size=\"47627264\"] \n  20 -> 33 [size =\"47627264\"]\n  20 -> 37 [size =\"47627264\"]\n  20 -> 40 [size =\"47627264\"]\n  21 [size=\"26270720\", alpha=\"0.04\", expect_size=\"10508288\"] \n  21 -> 37 [size =\"10508288\"]\n  22 [size=\"102924800\", alpha=\"0.16\", expect_size=\"41169920\"] \n  22 -> 33 [size =\"41169920\"]\n  22 -> 34 [size =\"41169920\"]\n  22 -> 35 [size =\"41169920\"]\n  22 -> 37 [size =\"41169920\"]\n  23 [size=\"110208000\", alpha=\"0.10\", expect_size=\"44083200\"] \n  23 -> 38 [size =\"44083200\"]\n  23 -> 40 [size =\"44083200\"]\n  24 [size=\"50483200\", alpha=\"0.04\", expect_size=\"20193280\"] \n  24 -> 34 [size =\"20193280\"]\n  24 -> 35 [size =\"20193280\"]\n  24 -> 39 [size =\"20193280\"]\n  24 -> 40 [size =\"20193280\"]\n  25 [size=\"48542720\", alpha=\"0.14\", expect_size=\"19417088\"] \n  25 -> 35 [size =\"19417088\"]\n  25 -> 38 [size =\"19417088\"]\n  26 [size=\"86891520\", alpha=\"0.08\", expect_size=\"34756608\"] \n  26 -> 37 [size =\"34756608\"]\n  26 -> 38 [size =\"34756608\"]\n  27 [size=\"93434880\", alpha=\"0.12\", expect_size=\"37373952\"] \n  27 -> 33 [size =\"37373952\"]\n  27 -> 35 [size =\"37373952\"]\n  27 -> 37 [size =\"37373952\"]\n  27 -> 38 [size =\"37373952\"]\n  27 -> 39 [size =\"37373952\"]\n  27 -> 40 [size =\"37373952\"]\n  28 [size=\"66496000\", alpha=\"0.05\", expect_size=\"26598400\"] \n  29 [size=\"44666880\", alpha=\"0.13\", expect_size=\"17866752\"] \n  29 -> 34 [size =\"17866752\"]\n  29 -> 37 [size =\"17866752\"]\n  29 -> 40 [size =\"17866752\"]\n  30 [size=\"24872960\", alpha=\"0.09\", expect_size=\"9949184\"] \n  30 -> 37 [size =\"9949184\"]\n  30 -> 38 [size =\"9949184\"]\n  30 -> 39 [size =\"9949184\"]\n  31 [size=\"91333120\", alpha=\"0.20\", expect_size=\"36533248\"] \n  31 -> 34 [size =\"36533248\"]\n  31 -> 35 [size =\"36533248\"]\n  31 -> 37 [size =\"36533248\"]\n  31 -> 38 [size =\"36533248\"]\n  32 [size=\"115082240\", alpha=\"0.12\", expect_size=\"46032896\"] \n  32 -> 37 [size =\"46032896\"]\n  32 -> 38 [size =\"46032896\"]\n  32 -> 39 [size =\"46032896\"]\n  33 [size=\"92874240\", alpha=\"0.12\", expect_size=\"37149696\"] \n  34 [size=\"34790400\", alpha=\"0.14\", expect_size=\"13916160\"] \n  35 [size=\"57704960\", alpha=\"0.08\", expect_size=\"23081984\"] \n  36 [size=\"22433280\", alpha=\"0.02\", expect_size=\"8973312\"] \n  37 [size=\"70512640\", alpha=\"0.06\", expect_size=\"28205056\"] \n  38 [size=\"20853760\", alpha=\"0.01\", expect_size=\"8341504\"] \n  39 [size=\"48890880\", alpha=\"0.08\", expect_size=\"19556352\"] \n  40 [size=\"124887040\", alpha=\"0.13\", expect_size=\"49954816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97111040\", alpha=\"0.12\", expect_size=\"38844416\"] \n  1 -> 5 [size =\"38844416\"]\n  2 [size=\"20546560\", alpha=\"0.12\", expect_size=\"8218624\"] \n  2 -> 5 [size =\"8218624\"]\n  2 -> 6 [size =\"8218624\"]\n  3 [size=\"28751360\", alpha=\"0.19\", expect_size=\"11500544\"] \n  3 -> 7 [size =\"11500544\"]\n  4 [size=\"14860800\", alpha=\"0.13\", expect_size=\"5944320\"] \n  5 [size=\"97761280\", alpha=\"0.02\", expect_size=\"39104512\"] \n  5 -> 8 [size =\"39104512\"]\n  6 [size=\"89886720\", alpha=\"0.12\", expect_size=\"35954688\"] \n  6 -> 8 [size =\"35954688\"]\n  6 -> 9 [size =\"35954688\"]\n  7 [size=\"95772160\", alpha=\"0.07\", expect_size=\"38308864\"] \n  8 [size=\"60101120\", alpha=\"0.16\", expect_size=\"24040448\"] \n  8 -> 10 [size =\"24040448\"]\n  9 [size=\"31585280\", alpha=\"0.16\", expect_size=\"12634112\"] \n  10 [size=\"66621440\", alpha=\"0.06\", expect_size=\"26648576\"] \n  10 -> 11 [size =\"26648576\"]\n  10 -> 12 [size =\"26648576\"]\n  11 [size=\"95329280\", alpha=\"0.05\", expect_size=\"38131712\"] \n  12 [size=\"47022080\", alpha=\"0.06\", expect_size=\"18808832\"] \n  12 -> 13 [size =\"18808832\"]\n  12 -> 14 [size =\"18808832\"]\n  12 -> 15 [size =\"18808832\"]\n  13 [size=\"115187200\", alpha=\"0.15\", expect_size=\"46074880\"] \n  13 -> 17 [size =\"46074880\"]\n  13 -> 18 [size =\"46074880\"]\n  14 [size=\"109411840\", alpha=\"0.02\", expect_size=\"43764736\"] \n  14 -> 17 [size =\"43764736\"]\n  15 [size=\"67399680\", alpha=\"0.02\", expect_size=\"26959872\"] \n  15 -> 16 [size =\"26959872\"]\n  16 [size=\"81689600\", alpha=\"0.15\", expect_size=\"32675840\"] \n  17 [size=\"34736640\", alpha=\"0.15\", expect_size=\"13894656\"] \n  17 -> 19 [size =\"13894656\"]\n  17 -> 21 [size =\"13894656\"]\n  18 [size=\"74728960\", alpha=\"0.05\", expect_size=\"29891584\"] \n  18 -> 20 [size =\"29891584\"]\n  19 [size=\"49999360\", alpha=\"0.14\", expect_size=\"19999744\"] \n  19 -> 22 [size =\"19999744\"]\n  19 -> 23 [size =\"19999744\"]\n  20 [size=\"28180480\", alpha=\"0.14\", expect_size=\"11272192\"] \n  20 -> 22 [size =\"11272192\"]\n  21 [size=\"65282560\", alpha=\"0.10\", expect_size=\"26113024\"] \n  21 -> 23 [size =\"26113024\"]\n  22 [size=\"96593920\", alpha=\"0.06\", expect_size=\"38637568\"] \n  22 -> 25 [size =\"38637568\"]\n  22 -> 26 [size =\"38637568\"]\n  23 [size=\"15365120\", alpha=\"0.05\", expect_size=\"6146048\"] \n  23 -> 24 [size =\"6146048\"]\n  24 [size=\"102604800\", alpha=\"0.04\", expect_size=\"41041920\"] \n  24 -> 27 [size =\"41041920\"]\n  25 [size=\"114920960\", alpha=\"0.18\", expect_size=\"45968384\"] \n  25 -> 28 [size =\"45968384\"]\n  25 -> 30 [size =\"45968384\"]\n  26 [size=\"124700160\", alpha=\"0.05\", expect_size=\"49880064\"] \n  26 -> 29 [size =\"49880064\"]\n  27 [size=\"96256000\", alpha=\"0.05\", expect_size=\"38502400\"] \n  28 [size=\"65876480\", alpha=\"0.14\", expect_size=\"26350592\"] \n  28 -> 31 [size =\"26350592\"]\n  29 [size=\"93232640\", alpha=\"0.06\", expect_size=\"37293056\"] \n  30 [size=\"55137280\", alpha=\"0.07\", expect_size=\"22054912\"] \n  31 [size=\"22302720\", alpha=\"0.02\", expect_size=\"8921088\"] \n  31 -> 32 [size =\"8921088\"]\n  31 -> 33 [size =\"8921088\"]\n  32 [size=\"78730240\", alpha=\"0.02\", expect_size=\"31492096\"] \n  32 -> 34 [size =\"31492096\"]\n  32 -> 36 [size =\"31492096\"]\n  33 [size=\"113896960\", alpha=\"0.00\", expect_size=\"45558784\"] \n  33 -> 35 [size =\"45558784\"]\n  34 [size=\"25482240\", alpha=\"0.15\", expect_size=\"10192896\"] \n  35 [size=\"51174400\", alpha=\"0.18\", expect_size=\"20469760\"] \n  35 -> 38 [size =\"20469760\"]\n  36 [size=\"39692800\", alpha=\"0.13\", expect_size=\"15877120\"] \n  36 -> 37 [size =\"15877120\"]\n  37 [size=\"67822080\", alpha=\"0.12\", expect_size=\"27128832\"] \n  38 [size=\"100262400\", alpha=\"0.01\", expect_size=\"40104960\"] \n  38 -> 39 [size =\"40104960\"]\n  38 -> 40 [size =\"40104960\"]\n  39 [size=\"66040320\", alpha=\"0.16\", expect_size=\"26416128\"] \n  40 [size=\"101606400\", alpha=\"0.14\", expect_size=\"40642560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33891840\", alpha=\"0.18\", expect_size=\"13556736\"] \n  1 -> 16 [size =\"13556736\"]\n  1 -> 22 [size =\"13556736\"]\n  2 [size=\"24512000\", alpha=\"0.09\", expect_size=\"9804800\"] \n  2 -> 16 [size =\"9804800\"]\n  2 -> 17 [size =\"9804800\"]\n  2 -> 19 [size =\"9804800\"]\n  2 -> 21 [size =\"9804800\"]\n  2 -> 22 [size =\"9804800\"]\n  3 [size=\"128220160\", alpha=\"0.02\", expect_size=\"51288064\"] \n  3 -> 16 [size =\"51288064\"]\n  3 -> 18 [size =\"51288064\"]\n  3 -> 19 [size =\"51288064\"]\n  4 [size=\"96215040\", alpha=\"0.03\", expect_size=\"38486016\"] \n  4 -> 15 [size =\"38486016\"]\n  4 -> 17 [size =\"38486016\"]\n  4 -> 19 [size =\"38486016\"]\n  5 [size=\"22254080\", alpha=\"0.10\", expect_size=\"8901632\"] \n  5 -> 22 [size =\"8901632\"]\n  6 [size=\"118067200\", alpha=\"0.04\", expect_size=\"47226880\"] \n  6 -> 15 [size =\"47226880\"]\n  7 [size=\"77079040\", alpha=\"0.18\", expect_size=\"30831616\"] \n  7 -> 15 [size =\"30831616\"]\n  7 -> 16 [size =\"30831616\"]\n  7 -> 17 [size =\"30831616\"]\n  7 -> 18 [size =\"30831616\"]\n  7 -> 19 [size =\"30831616\"]\n  7 -> 21 [size =\"30831616\"]\n  7 -> 22 [size =\"30831616\"]\n  8 [size=\"128573440\", alpha=\"0.01\", expect_size=\"51429376\"] \n  8 -> 15 [size =\"51429376\"]\n  8 -> 17 [size =\"51429376\"]\n  8 -> 19 [size =\"51429376\"]\n  8 -> 22 [size =\"51429376\"]\n  9 [size=\"61429760\", alpha=\"0.07\", expect_size=\"24571904\"] \n  9 -> 15 [size =\"24571904\"]\n  9 -> 17 [size =\"24571904\"]\n  10 [size=\"20369920\", alpha=\"0.19\", expect_size=\"8147968\"] \n  10 -> 15 [size =\"8147968\"]\n  10 -> 19 [size =\"8147968\"]\n  10 -> 20 [size =\"8147968\"]\n  10 -> 21 [size =\"8147968\"]\n  10 -> 22 [size =\"8147968\"]\n  10 -> 23 [size =\"8147968\"]\n  11 [size=\"43074560\", alpha=\"0.13\", expect_size=\"17229824\"] \n  11 -> 15 [size =\"17229824\"]\n  11 -> 17 [size =\"17229824\"]\n  11 -> 19 [size =\"17229824\"]\n  12 [size=\"33935360\", alpha=\"0.14\", expect_size=\"13574144\"] \n  12 -> 15 [size =\"13574144\"]\n  12 -> 18 [size =\"13574144\"]\n  12 -> 22 [size =\"13574144\"]\n  13 [size=\"84789760\", alpha=\"0.01\", expect_size=\"33915904\"] \n  13 -> 18 [size =\"33915904\"]\n  13 -> 21 [size =\"33915904\"]\n  13 -> 22 [size =\"33915904\"]\n  13 -> 23 [size =\"33915904\"]\n  14 [size=\"97031680\", alpha=\"0.01\", expect_size=\"38812672\"] \n  14 -> 15 [size =\"38812672\"]\n  14 -> 22 [size =\"38812672\"]\n  15 [size=\"116794880\", alpha=\"0.00\", expect_size=\"46717952\"] \n  15 -> 24 [size =\"46717952\"]\n  15 -> 26 [size =\"46717952\"]\n  15 -> 28 [size =\"46717952\"]\n  15 -> 29 [size =\"46717952\"]\n  15 -> 30 [size =\"46717952\"]\n  15 -> 32 [size =\"46717952\"]\n  15 -> 35 [size =\"46717952\"]\n  16 [size=\"55784960\", alpha=\"0.14\", expect_size=\"22313984\"] \n  16 -> 24 [size =\"22313984\"]\n  16 -> 25 [size =\"22313984\"]\n  16 -> 26 [size =\"22313984\"]\n  16 -> 28 [size =\"22313984\"]\n  16 -> 29 [size =\"22313984\"]\n  16 -> 32 [size =\"22313984\"]\n  16 -> 34 [size =\"22313984\"]\n  16 -> 35 [size =\"22313984\"]\n  17 [size=\"78584320\", alpha=\"0.08\", expect_size=\"31433728\"] \n  17 -> 27 [size =\"31433728\"]\n  17 -> 28 [size =\"31433728\"]\n  17 -> 29 [size =\"31433728\"]\n  17 -> 30 [size =\"31433728\"]\n  17 -> 32 [size =\"31433728\"]\n  17 -> 32 [size =\"31433728\"]\n  17 -> 33 [size =\"31433728\"]\n  17 -> 35 [size =\"31433728\"]\n  18 [size=\"68953600\", alpha=\"0.13\", expect_size=\"27581440\"] \n  18 -> 24 [size =\"27581440\"]\n  18 -> 27 [size =\"27581440\"]\n  18 -> 30 [size =\"27581440\"]\n  18 -> 33 [size =\"27581440\"]\n  18 -> 35 [size =\"27581440\"]\n  19 [size=\"74173440\", alpha=\"0.05\", expect_size=\"29669376\"] \n  19 -> 25 [size =\"29669376\"]\n  19 -> 26 [size =\"29669376\"]\n  19 -> 30 [size =\"29669376\"]\n  19 -> 36 [size =\"29669376\"]\n  20 [size=\"117102080\", alpha=\"0.18\", expect_size=\"46840832\"] \n  20 -> 24 [size =\"46840832\"]\n  20 -> 25 [size =\"46840832\"]\n  20 -> 26 [size =\"46840832\"]\n  20 -> 27 [size =\"46840832\"]\n  20 -> 28 [size =\"46840832\"]\n  20 -> 29 [size =\"46840832\"]\n  20 -> 31 [size =\"46840832\"]\n  20 -> 32 [size =\"46840832\"]\n  20 -> 34 [size =\"46840832\"]\n  21 [size=\"111380480\", alpha=\"0.14\", expect_size=\"44552192\"] \n  21 -> 24 [size =\"44552192\"]\n  21 -> 29 [size =\"44552192\"]\n  21 -> 30 [size =\"44552192\"]\n  21 -> 33 [size =\"44552192\"]\n  21 -> 34 [size =\"44552192\"]\n  22 [size=\"67934720\", alpha=\"0.12\", expect_size=\"27173888\"] \n  22 -> 29 [size =\"27173888\"]\n  22 -> 32 [size =\"27173888\"]\n  22 -> 33 [size =\"27173888\"]\n  22 -> 34 [size =\"27173888\"]\n  22 -> 35 [size =\"27173888\"]\n  23 [size=\"32033280\", alpha=\"0.10\", expect_size=\"12813312\"] \n  23 -> 24 [size =\"12813312\"]\n  23 -> 28 [size =\"12813312\"]\n  23 -> 29 [size =\"12813312\"]\n  23 -> 30 [size =\"12813312\"]\n  23 -> 32 [size =\"12813312\"]\n  24 [size=\"37447680\", alpha=\"0.02\", expect_size=\"14979072\"] \n  24 -> 39 [size =\"14979072\"]\n  25 [size=\"41041920\", alpha=\"0.15\", expect_size=\"16416768\"] \n  26 [size=\"42452480\", alpha=\"0.06\", expect_size=\"16980992\"] \n  26 -> 40 [size =\"16980992\"]\n  27 [size=\"125593600\", alpha=\"0.08\", expect_size=\"50237440\"] \n  27 -> 37 [size =\"50237440\"]\n  27 -> 39 [size =\"50237440\"]\n  28 [size=\"52154880\", alpha=\"0.10\", expect_size=\"20861952\"] \n  29 [size=\"130529280\", alpha=\"0.19\", expect_size=\"52211712\"] \n  29 -> 38 [size =\"52211712\"]\n  30 [size=\"44815360\", alpha=\"0.10\", expect_size=\"17926144\"] \n  30 -> 39 [size =\"17926144\"]\n  31 [size=\"33776640\", alpha=\"0.06\", expect_size=\"13510656\"] \n  31 -> 37 [size =\"13510656\"]\n  32 [size=\"118197760\", alpha=\"0.06\", expect_size=\"47279104\"] \n  32 -> 38 [size =\"47279104\"]\n  32 -> 39 [size =\"47279104\"]\n  33 [size=\"73556480\", alpha=\"0.17\", expect_size=\"29422592\"] \n  33 -> 39 [size =\"29422592\"]\n  34 [size=\"14970880\", alpha=\"0.03\", expect_size=\"5988352\"] \n  34 -> 39 [size =\"5988352\"]\n  35 [size=\"25546240\", alpha=\"0.07\", expect_size=\"10218496\"] \n  35 -> 37 [size =\"10218496\"]\n  35 -> 39 [size =\"10218496\"]\n  35 -> 40 [size =\"10218496\"]\n  36 [size=\"114432000\", alpha=\"0.18\", expect_size=\"45772800\"] \n  36 -> 37 [size =\"45772800\"]\n  36 -> 39 [size =\"45772800\"]\n  37 [size=\"32698880\", alpha=\"0.19\", expect_size=\"13079552\"] \n  38 [size=\"80248320\", alpha=\"0.11\", expect_size=\"32099328\"] \n  39 [size=\"18657280\", alpha=\"0.12\", expect_size=\"7462912\"] \n  40 [size=\"14210560\", alpha=\"0.12\", expect_size=\"5684224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87108267\", alpha=\"0.07\", expect_size=\"26132480\"] \n  1 -> 5 [size =\"26132480\"]\n  1 -> 6 [size =\"26132480\"]\n  2 [size=\"129972907\", alpha=\"0.16\", expect_size=\"38991872\"] \n  2 -> 6 [size =\"38991872\"]\n  3 [size=\"166816427\", alpha=\"0.08\", expect_size=\"50044928\"] \n  3 -> 6 [size =\"50044928\"]\n  4 [size=\"86459733\", alpha=\"0.09\", expect_size=\"25937920\"] \n  4 -> 6 [size =\"25937920\"]\n  5 [size=\"32460800\", alpha=\"0.12\", expect_size=\"9738240\"] \n  5 -> 7 [size =\"9738240\"]\n  5 -> 8 [size =\"9738240\"]\n  5 -> 9 [size =\"9738240\"]\n  6 [size=\"168970240\", alpha=\"0.06\", expect_size=\"50691072\"] \n  6 -> 7 [size =\"50691072\"]\n  7 [size=\"142496427\", alpha=\"0.08\", expect_size=\"42748928\"] \n  7 -> 10 [size =\"42748928\"]\n  7 -> 12 [size =\"42748928\"]\n  8 [size=\"86401707\", alpha=\"0.12\", expect_size=\"25920512\"] \n  8 -> 10 [size =\"25920512\"]\n  8 -> 12 [size =\"25920512\"]\n  9 [size=\"23336960\", alpha=\"0.15\", expect_size=\"7001088\"] \n  9 -> 11 [size =\"7001088\"]\n  9 -> 12 [size =\"7001088\"]\n  10 [size=\"87012693\", alpha=\"0.15\", expect_size=\"26103808\"] \n  11 [size=\"21760000\", alpha=\"0.15\", expect_size=\"6528000\"] \n  11 -> 13 [size =\"6528000\"]\n  12 [size=\"79578453\", alpha=\"0.02\", expect_size=\"23873536\"] \n  12 -> 13 [size =\"23873536\"]\n  13 [size=\"48155307\", alpha=\"0.10\", expect_size=\"14446592\"] \n  13 -> 14 [size =\"14446592\"]\n  14 [size=\"107335680\", alpha=\"0.05\", expect_size=\"32200704\"] \n  14 -> 15 [size =\"32200704\"]\n  14 -> 16 [size =\"32200704\"]\n  14 -> 17 [size =\"32200704\"]\n  15 [size=\"18380800\", alpha=\"0.10\", expect_size=\"5514240\"] \n  15 -> 18 [size =\"5514240\"]\n  15 -> 19 [size =\"5514240\"]\n  15 -> 20 [size =\"5514240\"]\n  16 [size=\"112093867\", alpha=\"0.02\", expect_size=\"33628160\"] \n  16 -> 19 [size =\"33628160\"]\n  16 -> 20 [size =\"33628160\"]\n  17 [size=\"157651627\", alpha=\"0.14\", expect_size=\"47295488\"] \n  17 -> 18 [size =\"47295488\"]\n  17 -> 19 [size =\"47295488\"]\n  17 -> 20 [size =\"47295488\"]\n  18 [size=\"65310720\", alpha=\"0.01\", expect_size=\"19593216\"] \n  18 -> 21 [size =\"19593216\"]\n  18 -> 22 [size =\"19593216\"]\n  19 [size=\"158071467\", alpha=\"0.08\", expect_size=\"47421440\"] \n  19 -> 21 [size =\"47421440\"]\n  19 -> 22 [size =\"47421440\"]\n  20 [size=\"121323520\", alpha=\"0.00\", expect_size=\"36397056\"] \n  20 -> 21 [size =\"36397056\"]\n  21 [size=\"80032427\", alpha=\"0.02\", expect_size=\"24009728\"] \n  21 -> 23 [size =\"24009728\"]\n  22 [size=\"40990720\", alpha=\"0.18\", expect_size=\"12297216\"] \n  22 -> 23 [size =\"12297216\"]\n  22 -> 24 [size =\"12297216\"]\n  22 -> 25 [size =\"12297216\"]\n  23 [size=\"55893333\", alpha=\"0.13\", expect_size=\"16768000\"] \n  23 -> 26 [size =\"16768000\"]\n  23 -> 27 [size =\"16768000\"]\n  23 -> 28 [size =\"16768000\"]\n  24 [size=\"137089707\", alpha=\"0.17\", expect_size=\"41126912\"] \n  24 -> 26 [size =\"41126912\"]\n  24 -> 27 [size =\"41126912\"]\n  24 -> 29 [size =\"41126912\"]\n  25 [size=\"173380267\", alpha=\"0.02\", expect_size=\"52014080\"] \n  25 -> 26 [size =\"52014080\"]\n  25 -> 27 [size =\"52014080\"]\n  25 -> 28 [size =\"52014080\"]\n  26 [size=\"91122347\", alpha=\"0.07\", expect_size=\"27336704\"] \n  26 -> 30 [size =\"27336704\"]\n  27 [size=\"102942720\", alpha=\"0.08\", expect_size=\"30882816\"] \n  27 -> 31 [size =\"30882816\"]\n  28 [size=\"58811733\", alpha=\"0.18\", expect_size=\"17643520\"] \n  29 [size=\"67054933\", alpha=\"0.08\", expect_size=\"20116480\"] \n  29 -> 30 [size =\"20116480\"]\n  29 -> 31 [size =\"20116480\"]\n  30 [size=\"127160320\", alpha=\"0.07\", expect_size=\"38148096\"] \n  30 -> 32 [size =\"38148096\"]\n  30 -> 33 [size =\"38148096\"]\n  31 [size=\"130614613\", alpha=\"0.07\", expect_size=\"39184384\"] \n  31 -> 32 [size =\"39184384\"]\n  31 -> 33 [size =\"39184384\"]\n  32 [size=\"147053227\", alpha=\"0.14\", expect_size=\"44115968\"] \n  32 -> 34 [size =\"44115968\"]\n  32 -> 35 [size =\"44115968\"]\n  33 [size=\"131689813\", alpha=\"0.06\", expect_size=\"39506944\"] \n  33 -> 34 [size =\"39506944\"]\n  33 -> 35 [size =\"39506944\"]\n  34 [size=\"76578133\", alpha=\"0.09\", expect_size=\"22973440\"] \n  34 -> 36 [size =\"22973440\"]\n  34 -> 37 [size =\"22973440\"]\n  34 -> 38 [size =\"22973440\"]\n  34 -> 39 [size =\"22973440\"]\n  35 [size=\"50705067\", alpha=\"0.12\", expect_size=\"15211520\"] \n  35 -> 37 [size =\"15211520\"]\n  35 -> 38 [size =\"15211520\"]\n  35 -> 39 [size =\"15211520\"]\n  36 [size=\"69051733\", alpha=\"0.07\", expect_size=\"20715520\"] \n  36 -> 40 [size =\"20715520\"]\n  37 [size=\"125832533\", alpha=\"0.20\", expect_size=\"37749760\"] \n  38 [size=\"31491413\", alpha=\"0.19\", expect_size=\"9447424\"] \n  38 -> 40 [size =\"9447424\"]\n  39 [size=\"169530027\", alpha=\"0.15\", expect_size=\"50859008\"] \n  39 -> 40 [size =\"50859008\"]\n  40 [size=\"73949867\", alpha=\"0.05\", expect_size=\"22184960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18805760\", alpha=\"0.11\", expect_size=\"7522304\"] \n  1 -> 2 [size =\"7522304\"]\n  1 -> 3 [size =\"7522304\"]\n  2 [size=\"71357440\", alpha=\"0.07\", expect_size=\"28542976\"] \n  2 -> 4 [size =\"28542976\"]\n  2 -> 5 [size =\"28542976\"]\n  3 [size=\"92211200\", alpha=\"0.18\", expect_size=\"36884480\"] \n  4 [size=\"88788480\", alpha=\"0.16\", expect_size=\"35515392\"] \n  4 -> 7 [size =\"35515392\"]\n  4 -> 9 [size =\"35515392\"]\n  5 [size=\"58209280\", alpha=\"0.17\", expect_size=\"23283712\"] \n  5 -> 6 [size =\"23283712\"]\n  5 -> 8 [size =\"23283712\"]\n  6 [size=\"79324160\", alpha=\"0.17\", expect_size=\"31729664\"] \n  6 -> 11 [size =\"31729664\"]\n  7 [size=\"128312320\", alpha=\"0.14\", expect_size=\"51324928\"] \n  8 [size=\"102369280\", alpha=\"0.20\", expect_size=\"40947712\"] \n  8 -> 10 [size =\"40947712\"]\n  9 [size=\"45429760\", alpha=\"0.04\", expect_size=\"18171904\"] \n  9 -> 10 [size =\"18171904\"]\n  10 [size=\"35481600\", alpha=\"0.04\", expect_size=\"14192640\"] \n  10 -> 12 [size =\"14192640\"]\n  10 -> 13 [size =\"14192640\"]\n  11 [size=\"130859520\", alpha=\"0.10\", expect_size=\"52343808\"] \n  11 -> 14 [size =\"52343808\"]\n  12 [size=\"76866560\", alpha=\"0.08\", expect_size=\"30746624\"] \n  12 -> 17 [size =\"30746624\"]\n  12 -> 18 [size =\"30746624\"]\n  13 [size=\"119272960\", alpha=\"0.05\", expect_size=\"47709184\"] \n  13 -> 15 [size =\"47709184\"]\n  13 -> 16 [size =\"47709184\"]\n  13 -> 17 [size =\"47709184\"]\n  14 [size=\"107814400\", alpha=\"0.12\", expect_size=\"43125760\"] \n  15 [size=\"82762240\", alpha=\"0.18\", expect_size=\"33104896\"] \n  15 -> 21 [size =\"33104896\"]\n  16 [size=\"67942400\", alpha=\"0.11\", expect_size=\"27176960\"] \n  16 -> 21 [size =\"27176960\"]\n  17 [size=\"50117120\", alpha=\"0.16\", expect_size=\"20046848\"] \n  17 -> 20 [size =\"20046848\"]\n  18 [size=\"16803840\", alpha=\"0.06\", expect_size=\"6721536\"] \n  18 -> 19 [size =\"6721536\"]\n  18 -> 20 [size =\"6721536\"]\n  19 [size=\"15641600\", alpha=\"0.16\", expect_size=\"6256640\"] \n  19 -> 23 [size =\"6256640\"]\n  20 [size=\"39557120\", alpha=\"0.16\", expect_size=\"15822848\"] \n  20 -> 22 [size =\"15822848\"]\n  20 -> 23 [size =\"15822848\"]\n  21 [size=\"64744960\", alpha=\"0.16\", expect_size=\"25897984\"] \n  22 [size=\"120829440\", alpha=\"0.06\", expect_size=\"48331776\"] \n  22 -> 24 [size =\"48331776\"]\n  23 [size=\"49310720\", alpha=\"0.10\", expect_size=\"19724288\"] \n  23 -> 24 [size =\"19724288\"]\n  23 -> 25 [size =\"19724288\"]\n  24 [size=\"77724160\", alpha=\"0.06\", expect_size=\"31089664\"] \n  24 -> 26 [size =\"31089664\"]\n  25 [size=\"28211200\", alpha=\"0.10\", expect_size=\"11284480\"] \n  25 -> 26 [size =\"11284480\"]\n  25 -> 27 [size =\"11284480\"]\n  25 -> 28 [size =\"11284480\"]\n  26 [size=\"19340800\", alpha=\"0.06\", expect_size=\"7736320\"] \n  26 -> 29 [size =\"7736320\"]\n  27 [size=\"86748160\", alpha=\"0.01\", expect_size=\"34699264\"] \n  28 [size=\"61544960\", alpha=\"0.11\", expect_size=\"24617984\"] \n  29 [size=\"96107520\", alpha=\"0.06\", expect_size=\"38443008\"] \n  29 -> 30 [size =\"38443008\"]\n  29 -> 31 [size =\"38443008\"]\n  30 [size=\"73034240\", alpha=\"0.06\", expect_size=\"29213696\"] \n  30 -> 33 [size =\"29213696\"]\n  30 -> 34 [size =\"29213696\"]\n  30 -> 35 [size =\"29213696\"]\n  31 [size=\"46494720\", alpha=\"0.05\", expect_size=\"18597888\"] \n  31 -> 32 [size =\"18597888\"]\n  31 -> 33 [size =\"18597888\"]\n  31 -> 34 [size =\"18597888\"]\n  32 [size=\"22195200\", alpha=\"0.15\", expect_size=\"8878080\"] \n  32 -> 37 [size =\"8878080\"]\n  33 [size=\"58385920\", alpha=\"0.03\", expect_size=\"23354368\"] \n  33 -> 37 [size =\"23354368\"]\n  34 [size=\"116203520\", alpha=\"0.07\", expect_size=\"46481408\"] \n  34 -> 36 [size =\"46481408\"]\n  35 [size=\"35402240\", alpha=\"0.03\", expect_size=\"14160896\"] \n  36 [size=\"97018880\", alpha=\"0.08\", expect_size=\"38807552\"] \n  36 -> 38 [size =\"38807552\"]\n  37 [size=\"13378560\", alpha=\"0.20\", expect_size=\"5351424\"] \n  38 [size=\"17648640\", alpha=\"0.12\", expect_size=\"7059456\"] \n  38 -> 39 [size =\"7059456\"]\n  38 -> 40 [size =\"7059456\"]\n  39 [size=\"81131520\", alpha=\"0.05\", expect_size=\"32452608\"] \n  40 [size=\"118182400\", alpha=\"0.02\", expect_size=\"47272960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121309867\", alpha=\"0.03\", expect_size=\"36392960\"] \n  2 [size=\"72939520\", alpha=\"0.00\", expect_size=\"21881856\"] \n  2 -> 4 [size =\"21881856\"]\n  2 -> 6 [size =\"21881856\"]\n  3 [size=\"56750080\", alpha=\"0.06\", expect_size=\"17025024\"] \n  3 -> 5 [size =\"17025024\"]\n  3 -> 6 [size =\"17025024\"]\n  4 [size=\"150179840\", alpha=\"0.04\", expect_size=\"45053952\"] \n  4 -> 7 [size =\"45053952\"]\n  4 -> 8 [size =\"45053952\"]\n  5 [size=\"167236267\", alpha=\"0.11\", expect_size=\"50170880\"] \n  5 -> 9 [size =\"50170880\"]\n  6 [size=\"135806293\", alpha=\"0.09\", expect_size=\"40741888\"] \n  6 -> 7 [size =\"40741888\"]\n  7 [size=\"153238187\", alpha=\"0.19\", expect_size=\"45971456\"] \n  8 [size=\"166782293\", alpha=\"0.17\", expect_size=\"50034688\"] \n  9 [size=\"78120960\", alpha=\"0.13\", expect_size=\"23436288\"] \n  9 -> 10 [size =\"23436288\"]\n  9 -> 11 [size =\"23436288\"]\n  10 [size=\"79465813\", alpha=\"0.02\", expect_size=\"23839744\"] \n  11 [size=\"145834667\", alpha=\"0.03\", expect_size=\"43750400\"] \n  11 -> 12 [size =\"43750400\"]\n  11 -> 13 [size =\"43750400\"]\n  11 -> 14 [size =\"43750400\"]\n  12 [size=\"167642453\", alpha=\"0.06\", expect_size=\"50292736\"] \n  12 -> 16 [size =\"50292736\"]\n  12 -> 17 [size =\"50292736\"]\n  13 [size=\"169990827\", alpha=\"0.14\", expect_size=\"50997248\"] \n  13 -> 16 [size =\"50997248\"]\n  13 -> 17 [size =\"50997248\"]\n  14 [size=\"58613760\", alpha=\"0.04\", expect_size=\"17584128\"] \n  14 -> 15 [size =\"17584128\"]\n  15 [size=\"92071253\", alpha=\"0.14\", expect_size=\"27621376\"] \n  15 -> 18 [size =\"27621376\"]\n  15 -> 19 [size =\"27621376\"]\n  16 [size=\"22046720\", alpha=\"0.04\", expect_size=\"6614016\"] \n  17 [size=\"93934933\", alpha=\"0.09\", expect_size=\"28180480\"] \n  18 [size=\"87763627\", alpha=\"0.11\", expect_size=\"26329088\"] \n  18 -> 20 [size =\"26329088\"]\n  18 -> 21 [size =\"26329088\"]\n  19 [size=\"65078613\", alpha=\"0.14\", expect_size=\"19523584\"] \n  19 -> 21 [size =\"19523584\"]\n  19 -> 22 [size =\"19523584\"]\n  20 [size=\"171243520\", alpha=\"0.07\", expect_size=\"51373056\"] \n  20 -> 23 [size =\"51373056\"]\n  20 -> 24 [size =\"51373056\"]\n  20 -> 25 [size =\"51373056\"]\n  21 [size=\"30641493\", alpha=\"0.14\", expect_size=\"9192448\"] \n  21 -> 23 [size =\"9192448\"]\n  21 -> 25 [size =\"9192448\"]\n  22 [size=\"57245013\", alpha=\"0.07\", expect_size=\"17173504\"] \n  23 [size=\"103024640\", alpha=\"0.05\", expect_size=\"30907392\"] \n  23 -> 27 [size =\"30907392\"]\n  24 [size=\"53302613\", alpha=\"0.01\", expect_size=\"15990784\"] \n  24 -> 26 [size =\"15990784\"]\n  24 -> 27 [size =\"15990784\"]\n  25 [size=\"88060587\", alpha=\"0.15\", expect_size=\"26418176\"] \n  25 -> 26 [size =\"26418176\"]\n  26 [size=\"41243307\", alpha=\"0.04\", expect_size=\"12372992\"] \n  27 [size=\"70082560\", alpha=\"0.11\", expect_size=\"21024768\"] \n  27 -> 28 [size =\"21024768\"]\n  27 -> 29 [size =\"21024768\"]\n  28 [size=\"139485867\", alpha=\"0.17\", expect_size=\"41845760\"] \n  28 -> 31 [size =\"41845760\"]\n  28 -> 32 [size =\"41845760\"]\n  29 [size=\"70567253\", alpha=\"0.10\", expect_size=\"21170176\"] \n  29 -> 30 [size =\"21170176\"]\n  29 -> 31 [size =\"21170176\"]\n  29 -> 32 [size =\"21170176\"]\n  30 [size=\"24951467\", alpha=\"0.11\", expect_size=\"7485440\"] \n  30 -> 33 [size =\"7485440\"]\n  31 [size=\"82732373\", alpha=\"0.09\", expect_size=\"24819712\"] \n  31 -> 33 [size =\"24819712\"]\n  31 -> 34 [size =\"24819712\"]\n  32 [size=\"33167360\", alpha=\"0.05\", expect_size=\"9950208\"] \n  33 [size=\"89009493\", alpha=\"0.01\", expect_size=\"26702848\"] \n  33 -> 35 [size =\"26702848\"]\n  33 -> 36 [size =\"26702848\"]\n  34 [size=\"132249600\", alpha=\"0.03\", expect_size=\"39674880\"] \n  34 -> 35 [size =\"39674880\"]\n  34 -> 36 [size =\"39674880\"]\n  34 -> 37 [size =\"39674880\"]\n  35 [size=\"138301440\", alpha=\"0.13\", expect_size=\"41490432\"] \n  35 -> 38 [size =\"41490432\"]\n  35 -> 39 [size =\"41490432\"]\n  36 [size=\"99645440\", alpha=\"0.05\", expect_size=\"29893632\"] \n  36 -> 38 [size =\"29893632\"]\n  37 [size=\"134608213\", alpha=\"0.06\", expect_size=\"40382464\"] \n  38 [size=\"64385707\", alpha=\"0.16\", expect_size=\"19315712\"] \n  38 -> 40 [size =\"19315712\"]\n  39 [size=\"38280533\", alpha=\"0.12\", expect_size=\"11484160\"] \n  40 [size=\"116940800\", alpha=\"0.07\", expect_size=\"35082240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14366720\", alpha=\"0.11\", expect_size=\"5746688\"] \n  1 -> 12 [size =\"5746688\"]\n  1 -> 13 [size =\"5746688\"]\n  2 [size=\"30663680\", alpha=\"0.12\", expect_size=\"12265472\"] \n  2 -> 10 [size =\"12265472\"]\n  3 [size=\"121809920\", alpha=\"0.01\", expect_size=\"48723968\"] \n  3 -> 8 [size =\"48723968\"]\n  3 -> 9 [size =\"48723968\"]\n  4 [size=\"24957440\", alpha=\"0.14\", expect_size=\"9982976\"] \n  4 -> 8 [size =\"9982976\"]\n  4 -> 12 [size =\"9982976\"]\n  5 [size=\"45834240\", alpha=\"0.03\", expect_size=\"18333696\"] \n  5 -> 7 [size =\"18333696\"]\n  5 -> 9 [size =\"18333696\"]\n  5 -> 11 [size =\"18333696\"]\n  6 [size=\"30589440\", alpha=\"0.06\", expect_size=\"12235776\"] \n  6 -> 10 [size =\"12235776\"]\n  7 [size=\"127833600\", alpha=\"0.03\", expect_size=\"51133440\"] \n  7 -> 15 [size =\"51133440\"]\n  8 [size=\"87208960\", alpha=\"0.13\", expect_size=\"34883584\"] \n  8 -> 14 [size =\"34883584\"]\n  8 -> 17 [size =\"34883584\"]\n  9 [size=\"67102720\", alpha=\"0.18\", expect_size=\"26841088\"] \n  10 [size=\"84723200\", alpha=\"0.05\", expect_size=\"33889280\"] \n  11 [size=\"20761600\", alpha=\"0.17\", expect_size=\"8304640\"] \n  11 -> 16 [size =\"8304640\"]\n  12 [size=\"85926400\", alpha=\"0.13\", expect_size=\"34370560\"] \n  12 -> 14 [size =\"34370560\"]\n  13 [size=\"41041920\", alpha=\"0.10\", expect_size=\"16416768\"] \n  14 [size=\"44720640\", alpha=\"0.11\", expect_size=\"17888256\"] \n  14 -> 18 [size =\"17888256\"]\n  14 -> 21 [size =\"17888256\"]\n  15 [size=\"125555200\", alpha=\"0.13\", expect_size=\"50222080\"] \n  15 -> 19 [size =\"50222080\"]\n  15 -> 22 [size =\"50222080\"]\n  16 [size=\"27123200\", alpha=\"0.18\", expect_size=\"10849280\"] \n  16 -> 20 [size =\"10849280\"]\n  17 [size=\"64166400\", alpha=\"0.11\", expect_size=\"25666560\"] \n  17 -> 19 [size =\"25666560\"]\n  17 -> 20 [size =\"25666560\"]\n  17 -> 21 [size =\"25666560\"]\n  18 [size=\"81930240\", alpha=\"0.07\", expect_size=\"32772096\"] \n  18 -> 25 [size =\"32772096\"]\n  18 -> 26 [size =\"32772096\"]\n  19 [size=\"42920960\", alpha=\"0.03\", expect_size=\"17168384\"] \n  19 -> 23 [size =\"17168384\"]\n  20 [size=\"33776640\", alpha=\"0.08\", expect_size=\"13510656\"] \n  20 -> 25 [size =\"13510656\"]\n  20 -> 26 [size =\"13510656\"]\n  21 [size=\"61276160\", alpha=\"0.13\", expect_size=\"24510464\"] \n  21 -> 23 [size =\"24510464\"]\n  21 -> 26 [size =\"24510464\"]\n  22 [size=\"42600960\", alpha=\"0.02\", expect_size=\"17040384\"] \n  22 -> 23 [size =\"17040384\"]\n  22 -> 24 [size =\"17040384\"]\n  23 [size=\"120028160\", alpha=\"0.09\", expect_size=\"48011264\"] \n  23 -> 28 [size =\"48011264\"]\n  23 -> 29 [size =\"48011264\"]\n  23 -> 30 [size =\"48011264\"]\n  24 [size=\"61260800\", alpha=\"0.17\", expect_size=\"24504320\"] \n  24 -> 30 [size =\"24504320\"]\n  24 -> 31 [size =\"24504320\"]\n  25 [size=\"124037120\", alpha=\"0.12\", expect_size=\"49614848\"] \n  25 -> 27 [size =\"49614848\"]\n  25 -> 28 [size =\"49614848\"]\n  25 -> 30 [size =\"49614848\"]\n  25 -> 31 [size =\"49614848\"]\n  26 [size=\"84172800\", alpha=\"0.09\", expect_size=\"33669120\"] \n  26 -> 27 [size =\"33669120\"]\n  26 -> 31 [size =\"33669120\"]\n  27 [size=\"74882560\", alpha=\"0.06\", expect_size=\"29953024\"] \n  28 [size=\"20032000\", alpha=\"0.15\", expect_size=\"8012800\"] \n  28 -> 35 [size =\"8012800\"]\n  29 [size=\"59471360\", alpha=\"0.14\", expect_size=\"23788544\"] \n  29 -> 32 [size =\"23788544\"]\n  29 -> 34 [size =\"23788544\"]\n  29 -> 36 [size =\"23788544\"]\n  30 [size=\"76487680\", alpha=\"0.04\", expect_size=\"30595072\"] \n  30 -> 32 [size =\"30595072\"]\n  30 -> 33 [size =\"30595072\"]\n  30 -> 34 [size =\"30595072\"]\n  30 -> 36 [size =\"30595072\"]\n  31 [size=\"124057600\", alpha=\"0.16\", expect_size=\"49623040\"] \n  31 -> 32 [size =\"49623040\"]\n  31 -> 33 [size =\"49623040\"]\n  31 -> 34 [size =\"49623040\"]\n  32 [size=\"85475840\", alpha=\"0.01\", expect_size=\"34190336\"] \n  32 -> 37 [size =\"34190336\"]\n  33 [size=\"96266240\", alpha=\"0.10\", expect_size=\"38506496\"] \n  33 -> 37 [size =\"38506496\"]\n  34 [size=\"29201920\", alpha=\"0.04\", expect_size=\"11680768\"] \n  34 -> 37 [size =\"11680768\"]\n  34 -> 38 [size =\"11680768\"]\n  35 [size=\"14103040\", alpha=\"0.17\", expect_size=\"5641216\"] \n  35 -> 39 [size =\"5641216\"]\n  35 -> 40 [size =\"5641216\"]\n  36 [size=\"83694080\", alpha=\"0.13\", expect_size=\"33477632\"] \n  37 [size=\"19530240\", alpha=\"0.18\", expect_size=\"7812096\"] \n  38 [size=\"54305280\", alpha=\"0.14\", expect_size=\"21722112\"] \n  39 [size=\"26188800\", alpha=\"0.15\", expect_size=\"10475520\"] \n  40 [size=\"107143680\", alpha=\"0.20\", expect_size=\"42857472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121879040\", alpha=\"0.19\", expect_size=\"48751616\"] \n  1 -> 3 [size =\"48751616\"]\n  1 -> 5 [size =\"48751616\"]\n  2 [size=\"100971520\", alpha=\"0.08\", expect_size=\"40388608\"] \n  2 -> 4 [size =\"40388608\"]\n  3 [size=\"39784960\", alpha=\"0.08\", expect_size=\"15913984\"] \n  4 [size=\"73751040\", alpha=\"0.15\", expect_size=\"29500416\"] \n  5 [size=\"18114560\", alpha=\"0.08\", expect_size=\"7245824\"] \n  5 -> 6 [size =\"7245824\"]\n  6 [size=\"32020480\", alpha=\"0.09\", expect_size=\"12808192\"] \n  6 -> 7 [size =\"12808192\"]\n  6 -> 8 [size =\"12808192\"]\n  7 [size=\"78387200\", alpha=\"0.10\", expect_size=\"31354880\"] \n  8 [size=\"93058560\", alpha=\"0.11\", expect_size=\"37223424\"] \n  8 -> 9 [size =\"37223424\"]\n  9 [size=\"90201600\", alpha=\"0.06\", expect_size=\"36080640\"] \n  9 -> 10 [size =\"36080640\"]\n  9 -> 11 [size =\"36080640\"]\n  10 [size=\"79390720\", alpha=\"0.04\", expect_size=\"31756288\"] \n  10 -> 12 [size =\"31756288\"]\n  10 -> 13 [size =\"31756288\"]\n  11 [size=\"36124160\", alpha=\"0.14\", expect_size=\"14449664\"] \n  11 -> 14 [size =\"14449664\"]\n  12 [size=\"27520000\", alpha=\"0.15\", expect_size=\"11008000\"] \n  12 -> 15 [size =\"11008000\"]\n  13 [size=\"74245120\", alpha=\"0.11\", expect_size=\"29698048\"] \n  14 [size=\"121269760\", alpha=\"0.08\", expect_size=\"48507904\"] \n  15 [size=\"93363200\", alpha=\"0.09\", expect_size=\"37345280\"] \n  15 -> 16 [size =\"37345280\"]\n  16 [size=\"24988160\", alpha=\"0.19\", expect_size=\"9995264\"] \n  16 -> 17 [size =\"9995264\"]\n  16 -> 18 [size =\"9995264\"]\n  16 -> 19 [size =\"9995264\"]\n  17 [size=\"76800000\", alpha=\"0.19\", expect_size=\"30720000\"] \n  18 [size=\"16496640\", alpha=\"0.15\", expect_size=\"6598656\"] \n  18 -> 20 [size =\"6598656\"]\n  19 [size=\"82818560\", alpha=\"0.13\", expect_size=\"33127424\"] \n  20 [size=\"116769280\", alpha=\"0.07\", expect_size=\"46707712\"] \n  20 -> 21 [size =\"46707712\"]\n  20 -> 22 [size =\"46707712\"]\n  20 -> 23 [size =\"46707712\"]\n  20 -> 24 [size =\"46707712\"]\n  21 [size=\"20659200\", alpha=\"0.19\", expect_size=\"8263680\"] \n  21 -> 25 [size =\"8263680\"]\n  22 [size=\"102999040\", alpha=\"0.06\", expect_size=\"41199616\"] \n  22 -> 25 [size =\"41199616\"]\n  23 [size=\"76328960\", alpha=\"0.17\", expect_size=\"30531584\"] \n  24 [size=\"23516160\", alpha=\"0.19\", expect_size=\"9406464\"] \n  25 [size=\"70118400\", alpha=\"0.02\", expect_size=\"28047360\"] \n  25 -> 26 [size =\"28047360\"]\n  25 -> 27 [size =\"28047360\"]\n  25 -> 28 [size =\"28047360\"]\n  26 [size=\"126136320\", alpha=\"0.08\", expect_size=\"50454528\"] \n  26 -> 30 [size =\"50454528\"]\n  26 -> 32 [size =\"50454528\"]\n  27 [size=\"120240640\", alpha=\"0.04\", expect_size=\"48096256\"] \n  27 -> 31 [size =\"48096256\"]\n  27 -> 32 [size =\"48096256\"]\n  28 [size=\"115548160\", alpha=\"0.15\", expect_size=\"46219264\"] \n  28 -> 29 [size =\"46219264\"]\n  28 -> 30 [size =\"46219264\"]\n  28 -> 31 [size =\"46219264\"]\n  29 [size=\"86208000\", alpha=\"0.18\", expect_size=\"34483200\"] \n  29 -> 34 [size =\"34483200\"]\n  30 [size=\"46471680\", alpha=\"0.13\", expect_size=\"18588672\"] \n  31 [size=\"87063040\", alpha=\"0.12\", expect_size=\"34825216\"] \n  31 -> 35 [size =\"34825216\"]\n  32 [size=\"80829440\", alpha=\"0.13\", expect_size=\"32331776\"] \n  32 -> 33 [size =\"32331776\"]\n  33 [size=\"115630080\", alpha=\"0.04\", expect_size=\"46252032\"] \n  33 -> 37 [size =\"46252032\"]\n  33 -> 38 [size =\"46252032\"]\n  33 -> 39 [size =\"46252032\"]\n  34 [size=\"100180480\", alpha=\"0.14\", expect_size=\"40072192\"] \n  34 -> 36 [size =\"40072192\"]\n  34 -> 37 [size =\"40072192\"]\n  34 -> 38 [size =\"40072192\"]\n  35 [size=\"95127040\", alpha=\"0.18\", expect_size=\"38050816\"] \n  36 [size=\"105479680\", alpha=\"0.03\", expect_size=\"42191872\"] \n  37 [size=\"32184320\", alpha=\"0.19\", expect_size=\"12873728\"] \n  38 [size=\"58490880\", alpha=\"0.16\", expect_size=\"23396352\"] \n  39 [size=\"28418560\", alpha=\"0.05\", expect_size=\"11367424\"] \n  39 -> 40 [size =\"11367424\"]\n  40 [size=\"19064320\", alpha=\"0.11\", expect_size=\"7625728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random40_test/random.40.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:06:48 2019\n// ./daggen --dot -n 40 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94515200\", alpha=\"0.16\", expect_size=\"37806080\"] \n  1 -> 2 [size =\"37806080\"]\n  2 [size=\"25692160\", alpha=\"0.04\", expect_size=\"10276864\"] \n  2 -> 3 [size =\"10276864\"]\n  3 [size=\"105912320\", alpha=\"0.17\", expect_size=\"42364928\"] \n  3 -> 4 [size =\"42364928\"]\n  4 [size=\"82152960\", alpha=\"0.18\", expect_size=\"32861184\"] \n  4 -> 5 [size =\"32861184\"]\n  5 [size=\"122426880\", alpha=\"0.11\", expect_size=\"48970752\"] \n  5 -> 6 [size =\"48970752\"]\n  6 [size=\"83619840\", alpha=\"0.17\", expect_size=\"33447936\"] \n  6 -> 7 [size =\"33447936\"]\n  7 [size=\"129372160\", alpha=\"0.14\", expect_size=\"51748864\"] \n  7 -> 8 [size =\"51748864\"]\n  8 [size=\"100318720\", alpha=\"0.01\", expect_size=\"40127488\"] \n  8 -> 9 [size =\"40127488\"]\n  9 [size=\"97085440\", alpha=\"0.06\", expect_size=\"38834176\"] \n  9 -> 10 [size =\"38834176\"]\n  10 [size=\"14760960\", alpha=\"0.03\", expect_size=\"5904384\"] \n  10 -> 11 [size =\"5904384\"]\n  11 [size=\"77442560\", alpha=\"0.12\", expect_size=\"30977024\"] \n  11 -> 12 [size =\"30977024\"]\n  12 [size=\"56634880\", alpha=\"0.08\", expect_size=\"22653952\"] \n  12 -> 13 [size =\"22653952\"]\n  13 [size=\"80993280\", alpha=\"0.08\", expect_size=\"32397312\"] \n  13 -> 14 [size =\"32397312\"]\n  14 [size=\"64238080\", alpha=\"0.15\", expect_size=\"25695232\"] \n  14 -> 15 [size =\"25695232\"]\n  15 [size=\"54507520\", alpha=\"0.12\", expect_size=\"21803008\"] \n  15 -> 16 [size =\"21803008\"]\n  16 [size=\"118369280\", alpha=\"0.13\", expect_size=\"47347712\"] \n  16 -> 17 [size =\"47347712\"]\n  17 [size=\"99778560\", alpha=\"0.14\", expect_size=\"39911424\"] \n  17 -> 18 [size =\"39911424\"]\n  18 [size=\"65945600\", alpha=\"0.04\", expect_size=\"26378240\"] \n  18 -> 19 [size =\"26378240\"]\n  19 [size=\"73420800\", alpha=\"0.05\", expect_size=\"29368320\"] \n  19 -> 20 [size =\"29368320\"]\n  20 [size=\"108346880\", alpha=\"0.20\", expect_size=\"43338752\"] \n  20 -> 21 [size =\"43338752\"]\n  21 [size=\"127600640\", alpha=\"0.09\", expect_size=\"51040256\"] \n  21 -> 22 [size =\"51040256\"]\n  22 [size=\"82380800\", alpha=\"0.20\", expect_size=\"32952320\"] \n  22 -> 23 [size =\"32952320\"]\n  23 [size=\"128622080\", alpha=\"0.07\", expect_size=\"51448832\"] \n  23 -> 24 [size =\"51448832\"]\n  24 [size=\"60152320\", alpha=\"0.05\", expect_size=\"24060928\"] \n  24 -> 25 [size =\"24060928\"]\n  25 [size=\"33436160\", alpha=\"0.02\", expect_size=\"13374464\"] \n  25 -> 26 [size =\"13374464\"]\n  26 [size=\"103877120\", alpha=\"0.11\", expect_size=\"41550848\"] \n  26 -> 27 [size =\"41550848\"]\n  27 [size=\"61852160\", alpha=\"0.00\", expect_size=\"24740864\"] \n  27 -> 28 [size =\"24740864\"]\n  28 [size=\"26629120\", alpha=\"0.04\", expect_size=\"10651648\"] \n  28 -> 29 [size =\"10651648\"]\n  29 [size=\"52672000\", alpha=\"0.01\", expect_size=\"21068800\"] \n  29 -> 30 [size =\"21068800\"]\n  30 [size=\"80202240\", alpha=\"0.19\", expect_size=\"32080896\"] \n  30 -> 31 [size =\"32080896\"]\n  31 [size=\"79214080\", alpha=\"0.08\", expect_size=\"31685632\"] \n  31 -> 32 [size =\"31685632\"]\n  32 [size=\"13153280\", alpha=\"0.05\", expect_size=\"5261312\"] \n  32 -> 33 [size =\"5261312\"]\n  33 [size=\"130531840\", alpha=\"0.13\", expect_size=\"52212736\"] \n  33 -> 34 [size =\"52212736\"]\n  34 [size=\"52298240\", alpha=\"0.09\", expect_size=\"20919296\"] \n  34 -> 35 [size =\"20919296\"]\n  35 [size=\"83427840\", alpha=\"0.13\", expect_size=\"33371136\"] \n  35 -> 36 [size =\"33371136\"]\n  36 [size=\"97313280\", alpha=\"0.14\", expect_size=\"38925312\"] \n  36 -> 37 [size =\"38925312\"]\n  37 [size=\"46504960\", alpha=\"0.10\", expect_size=\"18601984\"] \n  37 -> 38 [size =\"18601984\"]\n  38 [size=\"47265280\", alpha=\"0.15\", expect_size=\"18906112\"] \n  38 -> 39 [size =\"18906112\"]\n  39 [size=\"68846080\", alpha=\"0.10\", expect_size=\"27538432\"] \n  39 -> 40 [size =\"27538432\"]\n  40 [size=\"77260800\", alpha=\"0.02\", expect_size=\"30904320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11528192\", alpha=\"0.11\", expect_size=\"5764096\"] \n  1 -> 14 [size =\"5764096\"]\n  1 -> 17 [size =\"5764096\"]\n  1 -> 18 [size =\"5764096\"]\n  1 -> 19 [size =\"5764096\"]\n  1 -> 21 [size =\"5764096\"]\n  1 -> 22 [size =\"5764096\"]\n  2 [size=\"11372544\", alpha=\"0.18\", expect_size=\"5686272\"] \n  2 -> 14 [size =\"5686272\"]\n  2 -> 17 [size =\"5686272\"]\n  2 -> 21 [size =\"5686272\"]\n  2 -> 22 [size =\"5686272\"]\n  3 [size=\"46624768\", alpha=\"0.14\", expect_size=\"23312384\"] \n  3 -> 16 [size =\"23312384\"]\n  3 -> 17 [size =\"23312384\"]\n  3 -> 19 [size =\"23312384\"]\n  4 [size=\"13856768\", alpha=\"0.11\", expect_size=\"6928384\"] \n  4 -> 16 [size =\"6928384\"]\n  4 -> 17 [size =\"6928384\"]\n  4 -> 21 [size =\"6928384\"]\n  5 [size=\"20756480\", alpha=\"0.15\", expect_size=\"10378240\"] \n  5 -> 14 [size =\"10378240\"]\n  5 -> 15 [size =\"10378240\"]\n  5 -> 16 [size =\"10378240\"]\n  5 -> 18 [size =\"10378240\"]\n  5 -> 21 [size =\"10378240\"]\n  6 [size=\"88035328\", alpha=\"0.04\", expect_size=\"44017664\"] \n  6 -> 15 [size =\"44017664\"]\n  6 -> 16 [size =\"44017664\"]\n  6 -> 18 [size =\"44017664\"]\n  6 -> 20 [size =\"44017664\"]\n  6 -> 21 [size =\"44017664\"]\n  7 [size=\"57673728\", alpha=\"0.14\", expect_size=\"28836864\"] \n  7 -> 14 [size =\"28836864\"]\n  7 -> 17 [size =\"28836864\"]\n  7 -> 18 [size =\"28836864\"]\n  7 -> 22 [size =\"28836864\"]\n  8 [size=\"56641536\", alpha=\"0.13\", expect_size=\"28320768\"] \n  8 -> 18 [size =\"28320768\"]\n  8 -> 22 [size =\"28320768\"]\n  8 -> 23 [size =\"28320768\"]\n  9 [size=\"54624256\", alpha=\"0.11\", expect_size=\"27312128\"] \n  9 -> 16 [size =\"27312128\"]\n  9 -> 21 [size =\"27312128\"]\n  10 [size=\"97325056\", alpha=\"0.17\", expect_size=\"48662528\"] \n  10 -> 16 [size =\"48662528\"]\n  10 -> 17 [size =\"48662528\"]\n  11 [size=\"49113088\", alpha=\"0.02\", expect_size=\"24556544\"] \n  11 -> 17 [size =\"24556544\"]\n  11 -> 21 [size =\"24556544\"]\n  12 [size=\"101416960\", alpha=\"0.14\", expect_size=\"50708480\"] \n  12 -> 16 [size =\"50708480\"]\n  12 -> 22 [size =\"50708480\"]\n  13 [size=\"90982400\", alpha=\"0.11\", expect_size=\"45491200\"] \n  13 -> 15 [size =\"45491200\"]\n  13 -> 16 [size =\"45491200\"]\n  13 -> 18 [size =\"45491200\"]\n  13 -> 21 [size =\"45491200\"]\n  13 -> 22 [size =\"45491200\"]\n  14 [size=\"63496192\", alpha=\"0.11\", expect_size=\"31748096\"] \n  14 -> 24 [size =\"31748096\"]\n  14 -> 34 [size =\"31748096\"]\n  14 -> 35 [size =\"31748096\"]\n  15 [size=\"23242752\", alpha=\"0.02\", expect_size=\"11621376\"] \n  15 -> 27 [size =\"11621376\"]\n  15 -> 29 [size =\"11621376\"]\n  15 -> 31 [size =\"11621376\"]\n  15 -> 32 [size =\"11621376\"]\n  15 -> 33 [size =\"11621376\"]\n  16 [size=\"93956096\", alpha=\"0.13\", expect_size=\"46978048\"] \n  16 -> 28 [size =\"46978048\"]\n  16 -> 30 [size =\"46978048\"]\n  16 -> 31 [size =\"46978048\"]\n  16 -> 33 [size =\"46978048\"]\n  16 -> 34 [size =\"46978048\"]\n  17 [size=\"16117760\", alpha=\"0.17\", expect_size=\"8058880\"] \n  17 -> 24 [size =\"8058880\"]\n  17 -> 26 [size =\"8058880\"]\n  17 -> 27 [size =\"8058880\"]\n  17 -> 28 [size =\"8058880\"]\n  17 -> 33 [size =\"8058880\"]\n  17 -> 35 [size =\"8058880\"]\n  18 [size=\"82464768\", alpha=\"0.08\", expect_size=\"41232384\"] \n  18 -> 28 [size =\"41232384\"]\n  19 [size=\"47314944\", alpha=\"0.11\", expect_size=\"23657472\"] \n  19 -> 25 [size =\"23657472\"]\n  19 -> 27 [size =\"23657472\"]\n  19 -> 29 [size =\"23657472\"]\n  19 -> 34 [size =\"23657472\"]\n  19 -> 35 [size =\"23657472\"]\n  20 [size=\"96888832\", alpha=\"0.17\", expect_size=\"48444416\"] \n  20 -> 24 [size =\"48444416\"]\n  20 -> 31 [size =\"48444416\"]\n  20 -> 33 [size =\"48444416\"]\n  21 [size=\"83630080\", alpha=\"0.03\", expect_size=\"41815040\"] \n  21 -> 24 [size =\"41815040\"]\n  21 -> 25 [size =\"41815040\"]\n  21 -> 27 [size =\"41815040\"]\n  21 -> 33 [size =\"41815040\"]\n  21 -> 34 [size =\"41815040\"]\n  22 [size=\"95025152\", alpha=\"0.09\", expect_size=\"47512576\"] \n  22 -> 26 [size =\"47512576\"]\n  22 -> 27 [size =\"47512576\"]\n  22 -> 27 [size =\"47512576\"]\n  23 [size=\"68681728\", alpha=\"0.02\", expect_size=\"34340864\"] \n  23 -> 24 [size =\"34340864\"]\n  23 -> 26 [size =\"34340864\"]\n  23 -> 28 [size =\"34340864\"]\n  23 -> 31 [size =\"34340864\"]\n  24 [size=\"27662336\", alpha=\"0.16\", expect_size=\"13831168\"] \n  24 -> 36 [size =\"13831168\"]\n  24 -> 37 [size =\"13831168\"]\n  24 -> 39 [size =\"13831168\"]\n  24 -> 42 [size =\"13831168\"]\n  24 -> 44 [size =\"13831168\"]\n  24 -> 45 [size =\"13831168\"]\n  25 [size=\"79984640\", alpha=\"0.13\", expect_size=\"39992320\"] \n  25 -> 36 [size =\"39992320\"]\n  25 -> 37 [size =\"39992320\"]\n  25 -> 39 [size =\"39992320\"]\n  25 -> 41 [size =\"39992320\"]\n  25 -> 42 [size =\"39992320\"]\n  25 -> 45 [size =\"39992320\"]\n  26 [size=\"89077760\", alpha=\"0.06\", expect_size=\"44538880\"] \n  26 -> 44 [size =\"44538880\"]\n  27 [size=\"54947840\", alpha=\"0.09\", expect_size=\"27473920\"] \n  27 -> 39 [size =\"27473920\"]\n  28 [size=\"39520256\", alpha=\"0.01\", expect_size=\"19760128\"] \n  28 -> 37 [size =\"19760128\"]\n  28 -> 39 [size =\"19760128\"]\n  28 -> 41 [size =\"19760128\"]\n  28 -> 45 [size =\"19760128\"]\n  29 [size=\"76513280\", alpha=\"0.04\", expect_size=\"38256640\"] \n  29 -> 39 [size =\"38256640\"]\n  29 -> 39 [size =\"38256640\"]\n  29 -> 40 [size =\"38256640\"]\n  29 -> 41 [size =\"38256640\"]\n  29 -> 42 [size =\"38256640\"]\n  29 -> 45 [size =\"38256640\"]\n  30 [size=\"36204544\", alpha=\"0.04\", expect_size=\"18102272\"] \n  30 -> 37 [size =\"18102272\"]\n  30 -> 39 [size =\"18102272\"]\n  30 -> 41 [size =\"18102272\"]\n  30 -> 42 [size =\"18102272\"]\n  30 -> 44 [size =\"18102272\"]\n  30 -> 45 [size =\"18102272\"]\n  31 [size=\"21903360\", alpha=\"0.13\", expect_size=\"10951680\"] \n  31 -> 37 [size =\"10951680\"]\n  31 -> 43 [size =\"10951680\"]\n  31 -> 44 [size =\"10951680\"]\n  31 -> 45 [size =\"10951680\"]\n  32 [size=\"34654208\", alpha=\"0.00\", expect_size=\"17327104\"] \n  32 -> 37 [size =\"17327104\"]\n  32 -> 38 [size =\"17327104\"]\n  33 [size=\"75341824\", alpha=\"0.05\", expect_size=\"37670912\"] \n  33 -> 36 [size =\"37670912\"]\n  33 -> 41 [size =\"37670912\"]\n  34 [size=\"85735424\", alpha=\"0.02\", expect_size=\"42867712\"] \n  34 -> 36 [size =\"42867712\"]\n  34 -> 38 [size =\"42867712\"]\n  34 -> 41 [size =\"42867712\"]\n  34 -> 44 [size =\"42867712\"]\n  35 [size=\"69206016\", alpha=\"0.01\", expect_size=\"34603008\"] \n  35 -> 36 [size =\"34603008\"]\n  35 -> 38 [size =\"34603008\"]\n  36 [size=\"36024320\", alpha=\"0.17\", expect_size=\"18012160\"] \n  37 [size=\"63744000\", alpha=\"0.15\", expect_size=\"31872000\"] \n  38 [size=\"10809344\", alpha=\"0.08\", expect_size=\"5404672\"] \n  39 [size=\"17743872\", alpha=\"0.09\", expect_size=\"8871936\"] \n  40 [size=\"34320384\", alpha=\"0.08\", expect_size=\"17160192\"] \n  41 [size=\"53006336\", alpha=\"0.03\", expect_size=\"26503168\"] \n  42 [size=\"18057216\", alpha=\"0.15\", expect_size=\"9028608\"] \n  43 [size=\"20406272\", alpha=\"0.00\", expect_size=\"10203136\"] \n  44 [size=\"46180352\", alpha=\"0.09\", expect_size=\"23090176\"] \n  45 [size=\"54018048\", alpha=\"0.12\", expect_size=\"27009024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123804160\", alpha=\"0.18\", expect_size=\"49521664\"] \n  1 -> 34 [size =\"49521664\"]\n  1 -> 35 [size =\"49521664\"]\n  1 -> 36 [size =\"49521664\"]\n  1 -> 37 [size =\"49521664\"]\n  1 -> 41 [size =\"49521664\"]\n  1 -> 44 [size =\"49521664\"]\n  1 -> 45 [size =\"49521664\"]\n  2 [size=\"95869440\", alpha=\"0.12\", expect_size=\"38347776\"] \n  2 -> 35 [size =\"38347776\"]\n  2 -> 37 [size =\"38347776\"]\n  2 -> 41 [size =\"38347776\"]\n  2 -> 42 [size =\"38347776\"]\n  3 [size=\"37839360\", alpha=\"0.08\", expect_size=\"15135744\"] \n  3 -> 34 [size =\"15135744\"]\n  3 -> 37 [size =\"15135744\"]\n  3 -> 39 [size =\"15135744\"]\n  3 -> 40 [size =\"15135744\"]\n  3 -> 41 [size =\"15135744\"]\n  3 -> 45 [size =\"15135744\"]\n  4 [size=\"32762880\", alpha=\"0.03\", expect_size=\"13105152\"] \n  4 -> 35 [size =\"13105152\"]\n  4 -> 37 [size =\"13105152\"]\n  4 -> 39 [size =\"13105152\"]\n  4 -> 44 [size =\"13105152\"]\n  4 -> 45 [size =\"13105152\"]\n  5 [size=\"68605440\", alpha=\"0.19\", expect_size=\"27442176\"] \n  5 -> 34 [size =\"27442176\"]\n  5 -> 36 [size =\"27442176\"]\n  5 -> 40 [size =\"27442176\"]\n  5 -> 41 [size =\"27442176\"]\n  5 -> 45 [size =\"27442176\"]\n  6 [size=\"21176320\", alpha=\"0.13\", expect_size=\"8470528\"] \n  6 -> 34 [size =\"8470528\"]\n  6 -> 36 [size =\"8470528\"]\n  6 -> 39 [size =\"8470528\"]\n  6 -> 44 [size =\"8470528\"]\n  7 [size=\"34864640\", alpha=\"0.08\", expect_size=\"13945856\"] \n  7 -> 34 [size =\"13945856\"]\n  7 -> 36 [size =\"13945856\"]\n  7 -> 41 [size =\"13945856\"]\n  7 -> 44 [size =\"13945856\"]\n  8 [size=\"123742720\", alpha=\"0.09\", expect_size=\"49497088\"] \n  8 -> 34 [size =\"49497088\"]\n  8 -> 36 [size =\"49497088\"]\n  8 -> 37 [size =\"49497088\"]\n  8 -> 40 [size =\"49497088\"]\n  8 -> 41 [size =\"49497088\"]\n  8 -> 44 [size =\"49497088\"]\n  9 [size=\"127792640\", alpha=\"0.03\", expect_size=\"51117056\"] \n  9 -> 34 [size =\"51117056\"]\n  9 -> 36 [size =\"51117056\"]\n  9 -> 37 [size =\"51117056\"]\n  9 -> 43 [size =\"51117056\"]\n  9 -> 44 [size =\"51117056\"]\n  10 [size=\"49139200\", alpha=\"0.16\", expect_size=\"19655680\"] \n  10 -> 37 [size =\"19655680\"]\n  10 -> 38 [size =\"19655680\"]\n  10 -> 45 [size =\"19655680\"]\n  11 [size=\"39761920\", alpha=\"0.09\", expect_size=\"15904768\"] \n  11 -> 36 [size =\"15904768\"]\n  11 -> 39 [size =\"15904768\"]\n  11 -> 45 [size =\"15904768\"]\n  12 [size=\"25456640\", alpha=\"0.14\", expect_size=\"10182656\"] \n  12 -> 34 [size =\"10182656\"]\n  12 -> 36 [size =\"10182656\"]\n  12 -> 37 [size =\"10182656\"]\n  12 -> 41 [size =\"10182656\"]\n  12 -> 44 [size =\"10182656\"]\n  13 [size=\"96117760\", alpha=\"0.16\", expect_size=\"38447104\"] \n  13 -> 34 [size =\"38447104\"]\n  13 -> 39 [size =\"38447104\"]\n  13 -> 41 [size =\"38447104\"]\n  14 [size=\"25500160\", alpha=\"0.06\", expect_size=\"10200064\"] \n  14 -> 34 [size =\"10200064\"]\n  14 -> 37 [size =\"10200064\"]\n  14 -> 39 [size =\"10200064\"]\n  14 -> 44 [size =\"10200064\"]\n  14 -> 45 [size =\"10200064\"]\n  15 [size=\"41858560\", alpha=\"0.06\", expect_size=\"16743424\"] \n  15 -> 34 [size =\"16743424\"]\n  15 -> 37 [size =\"16743424\"]\n  15 -> 39 [size =\"16743424\"]\n  15 -> 44 [size =\"16743424\"]\n  15 -> 45 [size =\"16743424\"]\n  16 [size=\"38476800\", alpha=\"0.08\", expect_size=\"15390720\"] \n  16 -> 34 [size =\"15390720\"]\n  16 -> 36 [size =\"15390720\"]\n  16 -> 37 [size =\"15390720\"]\n  16 -> 40 [size =\"15390720\"]\n  16 -> 45 [size =\"15390720\"]\n  17 [size=\"114513920\", alpha=\"0.14\", expect_size=\"45805568\"] \n  17 -> 34 [size =\"45805568\"]\n  17 -> 35 [size =\"45805568\"]\n  17 -> 36 [size =\"45805568\"]\n  17 -> 40 [size =\"45805568\"]\n  17 -> 41 [size =\"45805568\"]\n  17 -> 44 [size =\"45805568\"]\n  17 -> 45 [size =\"45805568\"]\n  18 [size=\"44275200\", alpha=\"0.07\", expect_size=\"17710080\"] \n  18 -> 36 [size =\"17710080\"]\n  18 -> 40 [size =\"17710080\"]\n  18 -> 41 [size =\"17710080\"]\n  18 -> 44 [size =\"17710080\"]\n  18 -> 45 [size =\"17710080\"]\n  19 [size=\"96924160\", alpha=\"0.07\", expect_size=\"38769664\"] \n  19 -> 35 [size =\"38769664\"]\n  19 -> 44 [size =\"38769664\"]\n  20 [size=\"114736640\", alpha=\"0.12\", expect_size=\"45894656\"] \n  20 -> 37 [size =\"45894656\"]\n  21 [size=\"93463040\", alpha=\"0.16\", expect_size=\"37385216\"] \n  21 -> 34 [size =\"37385216\"]\n  21 -> 36 [size =\"37385216\"]\n  21 -> 37 [size =\"37385216\"]\n  21 -> 39 [size =\"37385216\"]\n  21 -> 41 [size =\"37385216\"]\n  21 -> 44 [size =\"37385216\"]\n  22 [size=\"28367360\", alpha=\"0.14\", expect_size=\"11346944\"] \n  22 -> 34 [size =\"11346944\"]\n  22 -> 36 [size =\"11346944\"]\n  22 -> 37 [size =\"11346944\"]\n  22 -> 45 [size =\"11346944\"]\n  23 [size=\"113715200\", alpha=\"0.16\", expect_size=\"45486080\"] \n  23 -> 34 [size =\"45486080\"]\n  23 -> 36 [size =\"45486080\"]\n  23 -> 37 [size =\"45486080\"]\n  23 -> 45 [size =\"45486080\"]\n  24 [size=\"87879680\", alpha=\"0.01\", expect_size=\"35151872\"] \n  24 -> 34 [size =\"35151872\"]\n  24 -> 36 [size =\"35151872\"]\n  24 -> 37 [size =\"35151872\"]\n  25 [size=\"122181120\", alpha=\"0.16\", expect_size=\"48872448\"] \n  25 -> 34 [size =\"48872448\"]\n  25 -> 36 [size =\"48872448\"]\n  25 -> 37 [size =\"48872448\"]\n  25 -> 45 [size =\"48872448\"]\n  26 [size=\"37424640\", alpha=\"0.12\", expect_size=\"14969856\"] \n  26 -> 34 [size =\"14969856\"]\n  26 -> 36 [size =\"14969856\"]\n  26 -> 37 [size =\"14969856\"]\n  26 -> 41 [size =\"14969856\"]\n  26 -> 44 [size =\"14969856\"]\n  26 -> 45 [size =\"14969856\"]\n  27 [size=\"86366720\", alpha=\"0.12\", expect_size=\"34546688\"] \n  27 -> 34 [size =\"34546688\"]\n  27 -> 35 [size =\"34546688\"]\n  27 -> 36 [size =\"34546688\"]\n  27 -> 37 [size =\"34546688\"]\n  27 -> 41 [size =\"34546688\"]\n  27 -> 44 [size =\"34546688\"]\n  28 [size=\"50467840\", alpha=\"0.11\", expect_size=\"20187136\"] \n  28 -> 34 [size =\"20187136\"]\n  28 -> 36 [size =\"20187136\"]\n  28 -> 37 [size =\"20187136\"]\n  28 -> 39 [size =\"20187136\"]\n  28 -> 41 [size =\"20187136\"]\n  28 -> 45 [size =\"20187136\"]\n  29 [size=\"92280320\", alpha=\"0.09\", expect_size=\"36912128\"] \n  29 -> 35 [size =\"36912128\"]\n  29 -> 37 [size =\"36912128\"]\n  29 -> 39 [size =\"36912128\"]\n  29 -> 44 [size =\"36912128\"]\n  29 -> 45 [size =\"36912128\"]\n  29 -> 45 [size =\"36912128\"]\n  30 [size=\"17815040\", alpha=\"0.13\", expect_size=\"7126016\"] \n  30 -> 35 [size =\"7126016\"]\n  30 -> 36 [size =\"7126016\"]\n  30 -> 37 [size =\"7126016\"]\n  30 -> 40 [size =\"7126016\"]\n  30 -> 41 [size =\"7126016\"]\n  30 -> 45 [size =\"7126016\"]\n  31 [size=\"91072000\", alpha=\"0.02\", expect_size=\"36428800\"] \n  31 -> 34 [size =\"36428800\"]\n  31 -> 39 [size =\"36428800\"]\n  31 -> 45 [size =\"36428800\"]\n  32 [size=\"68853760\", alpha=\"0.12\", expect_size=\"27541504\"] \n  32 -> 34 [size =\"27541504\"]\n  32 -> 36 [size =\"27541504\"]\n  32 -> 37 [size =\"27541504\"]\n  32 -> 44 [size =\"27541504\"]\n  32 -> 45 [size =\"27541504\"]\n  33 [size=\"33925120\", alpha=\"0.17\", expect_size=\"13570048\"] \n  33 -> 34 [size =\"13570048\"]\n  33 -> 37 [size =\"13570048\"]\n  33 -> 40 [size =\"13570048\"]\n  33 -> 41 [size =\"13570048\"]\n  33 -> 44 [size =\"13570048\"]\n  33 -> 45 [size =\"13570048\"]\n  34 [size=\"128985600\", alpha=\"0.04\", expect_size=\"51594240\"] \n  35 [size=\"19796480\", alpha=\"0.16\", expect_size=\"7918592\"] \n  36 [size=\"115752960\", alpha=\"0.12\", expect_size=\"46301184\"] \n  37 [size=\"71032320\", alpha=\"0.05\", expect_size=\"28412928\"] \n  38 [size=\"25356800\", alpha=\"0.04\", expect_size=\"10142720\"] \n  39 [size=\"89364480\", alpha=\"0.17\", expect_size=\"35745792\"] \n  40 [size=\"23846400\", alpha=\"0.07\", expect_size=\"9538560\"] \n  41 [size=\"100769280\", alpha=\"0.11\", expect_size=\"40307712\"] \n  42 [size=\"110858240\", alpha=\"0.17\", expect_size=\"44343296\"] \n  43 [size=\"66465280\", alpha=\"0.00\", expect_size=\"26586112\"] \n  44 [size=\"50603520\", alpha=\"0.16\", expect_size=\"20241408\"] \n  45 [size=\"75665920\", alpha=\"0.11\", expect_size=\"30266368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37936640\", alpha=\"0.08\", expect_size=\"15174656\"] \n  1 -> 23 [size =\"15174656\"]\n  1 -> 24 [size =\"15174656\"]\n  1 -> 25 [size =\"15174656\"]\n  1 -> 26 [size =\"15174656\"]\n  1 -> 28 [size =\"15174656\"]\n  1 -> 30 [size =\"15174656\"]\n  2 [size=\"87971840\", alpha=\"0.10\", expect_size=\"35188736\"] \n  2 -> 23 [size =\"35188736\"]\n  2 -> 25 [size =\"35188736\"]\n  2 -> 29 [size =\"35188736\"]\n  3 [size=\"32727040\", alpha=\"0.15\", expect_size=\"13090816\"] \n  3 -> 24 [size =\"13090816\"]\n  4 [size=\"29012480\", alpha=\"0.06\", expect_size=\"11604992\"] \n  4 -> 24 [size =\"11604992\"]\n  4 -> 29 [size =\"11604992\"]\n  5 [size=\"39549440\", alpha=\"0.12\", expect_size=\"15819776\"] \n  5 -> 25 [size =\"15819776\"]\n  5 -> 26 [size =\"15819776\"]\n  5 -> 30 [size =\"15819776\"]\n  6 [size=\"108157440\", alpha=\"0.11\", expect_size=\"43262976\"] \n  6 -> 23 [size =\"43262976\"]\n  6 -> 26 [size =\"43262976\"]\n  7 [size=\"20551680\", alpha=\"0.20\", expect_size=\"8220672\"] \n  7 -> 25 [size =\"8220672\"]\n  7 -> 26 [size =\"8220672\"]\n  7 -> 29 [size =\"8220672\"]\n  8 [size=\"15887360\", alpha=\"0.09\", expect_size=\"6354944\"] \n  8 -> 23 [size =\"6354944\"]\n  8 -> 24 [size =\"6354944\"]\n  8 -> 26 [size =\"6354944\"]\n  8 -> 30 [size =\"6354944\"]\n  9 [size=\"40427520\", alpha=\"0.15\", expect_size=\"16171008\"] \n  9 -> 24 [size =\"16171008\"]\n  9 -> 24 [size =\"16171008\"]\n  10 [size=\"67287040\", alpha=\"0.01\", expect_size=\"26914816\"] \n  10 -> 25 [size =\"26914816\"]\n  10 -> 27 [size =\"26914816\"]\n  11 [size=\"30451200\", alpha=\"0.13\", expect_size=\"12180480\"] \n  11 -> 22 [size =\"12180480\"]\n  11 -> 25 [size =\"12180480\"]\n  11 -> 26 [size =\"12180480\"]\n  12 [size=\"77150720\", alpha=\"0.07\", expect_size=\"30860288\"] \n  12 -> 23 [size =\"30860288\"]\n  12 -> 26 [size =\"30860288\"]\n  12 -> 28 [size =\"30860288\"]\n  13 [size=\"19607040\", alpha=\"0.09\", expect_size=\"7842816\"] \n  13 -> 23 [size =\"7842816\"]\n  13 -> 28 [size =\"7842816\"]\n  14 [size=\"106941440\", alpha=\"0.11\", expect_size=\"42776576\"] \n  14 -> 22 [size =\"42776576\"]\n  14 -> 28 [size =\"42776576\"]\n  15 [size=\"25308160\", alpha=\"0.19\", expect_size=\"10123264\"] \n  15 -> 25 [size =\"10123264\"]\n  15 -> 30 [size =\"10123264\"]\n  16 [size=\"94402560\", alpha=\"0.04\", expect_size=\"37761024\"] \n  16 -> 21 [size =\"37761024\"]\n  17 [size=\"41848320\", alpha=\"0.19\", expect_size=\"16739328\"] \n  17 -> 21 [size =\"16739328\"]\n  17 -> 25 [size =\"16739328\"]\n  17 -> 26 [size =\"16739328\"]\n  17 -> 28 [size =\"16739328\"]\n  18 [size=\"39859200\", alpha=\"0.20\", expect_size=\"15943680\"] \n  18 -> 22 [size =\"15943680\"]\n  19 [size=\"92966400\", alpha=\"0.08\", expect_size=\"37186560\"] \n  19 -> 26 [size =\"37186560\"]\n  19 -> 30 [size =\"37186560\"]\n  20 [size=\"64542720\", alpha=\"0.16\", expect_size=\"25817088\"] \n  20 -> 23 [size =\"25817088\"]\n  20 -> 25 [size =\"25817088\"]\n  20 -> 26 [size =\"25817088\"]\n  20 -> 30 [size =\"25817088\"]\n  21 [size=\"67581440\", alpha=\"0.07\", expect_size=\"27032576\"] \n  21 -> 32 [size =\"27032576\"]\n  21 -> 33 [size =\"27032576\"]\n  21 -> 41 [size =\"27032576\"]\n  21 -> 44 [size =\"27032576\"]\n  22 [size=\"26119680\", alpha=\"0.12\", expect_size=\"10447872\"] \n  22 -> 31 [size =\"10447872\"]\n  22 -> 32 [size =\"10447872\"]\n  22 -> 33 [size =\"10447872\"]\n  22 -> 38 [size =\"10447872\"]\n  22 -> 41 [size =\"10447872\"]\n  22 -> 43 [size =\"10447872\"]\n  22 -> 45 [size =\"10447872\"]\n  23 [size=\"67425280\", alpha=\"0.20\", expect_size=\"26970112\"] \n  23 -> 33 [size =\"26970112\"]\n  23 -> 34 [size =\"26970112\"]\n  23 -> 35 [size =\"26970112\"]\n  23 -> 39 [size =\"26970112\"]\n  23 -> 41 [size =\"26970112\"]\n  24 [size=\"117939200\", alpha=\"0.11\", expect_size=\"47175680\"] \n  24 -> 31 [size =\"47175680\"]\n  24 -> 33 [size =\"47175680\"]\n  24 -> 35 [size =\"47175680\"]\n  24 -> 36 [size =\"47175680\"]\n  24 -> 37 [size =\"47175680\"]\n  24 -> 41 [size =\"47175680\"]\n  25 [size=\"64519680\", alpha=\"0.06\", expect_size=\"25807872\"] \n  25 -> 31 [size =\"25807872\"]\n  25 -> 32 [size =\"25807872\"]\n  25 -> 35 [size =\"25807872\"]\n  25 -> 37 [size =\"25807872\"]\n  25 -> 38 [size =\"25807872\"]\n  25 -> 40 [size =\"25807872\"]\n  25 -> 41 [size =\"25807872\"]\n  25 -> 43 [size =\"25807872\"]\n  26 [size=\"60451840\", alpha=\"0.17\", expect_size=\"24180736\"] \n  26 -> 34 [size =\"24180736\"]\n  26 -> 35 [size =\"24180736\"]\n  26 -> 37 [size =\"24180736\"]\n  26 -> 37 [size =\"24180736\"]\n  26 -> 39 [size =\"24180736\"]\n  26 -> 43 [size =\"24180736\"]\n  26 -> 44 [size =\"24180736\"]\n  27 [size=\"81871360\", alpha=\"0.09\", expect_size=\"32748544\"] \n  27 -> 31 [size =\"32748544\"]\n  27 -> 39 [size =\"32748544\"]\n  27 -> 42 [size =\"32748544\"]\n  27 -> 43 [size =\"32748544\"]\n  28 [size=\"74362880\", alpha=\"0.02\", expect_size=\"29745152\"] \n  28 -> 33 [size =\"29745152\"]\n  28 -> 36 [size =\"29745152\"]\n  28 -> 37 [size =\"29745152\"]\n  28 -> 39 [size =\"29745152\"]\n  28 -> 45 [size =\"29745152\"]\n  29 [size=\"72762880\", alpha=\"0.20\", expect_size=\"29105152\"] \n  29 -> 31 [size =\"29105152\"]\n  29 -> 33 [size =\"29105152\"]\n  29 -> 36 [size =\"29105152\"]\n  29 -> 38 [size =\"29105152\"]\n  29 -> 45 [size =\"29105152\"]\n  30 [size=\"119080960\", alpha=\"0.07\", expect_size=\"47632384\"] \n  30 -> 35 [size =\"47632384\"]\n  30 -> 36 [size =\"47632384\"]\n  30 -> 38 [size =\"47632384\"]\n  30 -> 39 [size =\"47632384\"]\n  30 -> 42 [size =\"47632384\"]\n  30 -> 43 [size =\"47632384\"]\n  31 [size=\"92723200\", alpha=\"0.16\", expect_size=\"37089280\"] \n  32 [size=\"18519040\", alpha=\"0.17\", expect_size=\"7407616\"] \n  33 [size=\"89295360\", alpha=\"0.18\", expect_size=\"35718144\"] \n  34 [size=\"88750080\", alpha=\"0.16\", expect_size=\"35500032\"] \n  35 [size=\"32783360\", alpha=\"0.16\", expect_size=\"13113344\"] \n  36 [size=\"65804800\", alpha=\"0.09\", expect_size=\"26321920\"] \n  37 [size=\"46935040\", alpha=\"0.07\", expect_size=\"18774016\"] \n  38 [size=\"101585920\", alpha=\"0.10\", expect_size=\"40634368\"] \n  39 [size=\"114572800\", alpha=\"0.07\", expect_size=\"45829120\"] \n  40 [size=\"113216000\", alpha=\"0.12\", expect_size=\"45286400\"] \n  41 [size=\"33735680\", alpha=\"0.06\", expect_size=\"13494272\"] \n  42 [size=\"129402880\", alpha=\"0.02\", expect_size=\"51761152\"] \n  43 [size=\"110369280\", alpha=\"0.08\", expect_size=\"44147712\"] \n  44 [size=\"101099520\", alpha=\"0.12\", expect_size=\"40439808\"] \n  45 [size=\"77463040\", alpha=\"0.04\", expect_size=\"30985216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125743787\", alpha=\"0.15\", expect_size=\"37723136\"] \n  1 -> 18 [size =\"37723136\"]\n  1 -> 20 [size =\"37723136\"]\n  1 -> 21 [size =\"37723136\"]\n  1 -> 24 [size =\"37723136\"]\n  2 [size=\"154750293\", alpha=\"0.09\", expect_size=\"46425088\"] \n  2 -> 29 [size =\"46425088\"]\n  2 -> 30 [size =\"46425088\"]\n  2 -> 31 [size =\"46425088\"]\n  3 [size=\"142489600\", alpha=\"0.16\", expect_size=\"42746880\"] \n  3 -> 18 [size =\"42746880\"]\n  3 -> 19 [size =\"42746880\"]\n  3 -> 21 [size =\"42746880\"]\n  3 -> 23 [size =\"42746880\"]\n  3 -> 27 [size =\"42746880\"]\n  4 [size=\"92811947\", alpha=\"0.03\", expect_size=\"27843584\"] \n  4 -> 18 [size =\"27843584\"]\n  4 -> 19 [size =\"27843584\"]\n  4 -> 20 [size =\"27843584\"]\n  4 -> 21 [size =\"27843584\"]\n  4 -> 27 [size =\"27843584\"]\n  4 -> 30 [size =\"27843584\"]\n  5 [size=\"103045120\", alpha=\"0.16\", expect_size=\"30913536\"] \n  5 -> 18 [size =\"30913536\"]\n  5 -> 20 [size =\"30913536\"]\n  5 -> 23 [size =\"30913536\"]\n  5 -> 26 [size =\"30913536\"]\n  5 -> 30 [size =\"30913536\"]\n  5 -> 30 [size =\"30913536\"]\n  6 [size=\"44922880\", alpha=\"0.18\", expect_size=\"13476864\"] \n  6 -> 18 [size =\"13476864\"]\n  6 -> 20 [size =\"13476864\"]\n  6 -> 23 [size =\"13476864\"]\n  6 -> 25 [size =\"13476864\"]\n  6 -> 26 [size =\"13476864\"]\n  6 -> 27 [size =\"13476864\"]\n  6 -> 30 [size =\"13476864\"]\n  7 [size=\"92931413\", alpha=\"0.09\", expect_size=\"27879424\"] \n  7 -> 23 [size =\"27879424\"]\n  7 -> 28 [size =\"27879424\"]\n  7 -> 30 [size =\"27879424\"]\n  7 -> 31 [size =\"27879424\"]\n  8 [size=\"117459627\", alpha=\"0.18\", expect_size=\"35237888\"] \n  8 -> 18 [size =\"35237888\"]\n  8 -> 20 [size =\"35237888\"]\n  8 -> 23 [size =\"35237888\"]\n  8 -> 30 [size =\"35237888\"]\n  8 -> 31 [size =\"35237888\"]\n  8 -> 32 [size =\"35237888\"]\n  9 [size=\"173718187\", alpha=\"0.16\", expect_size=\"52115456\"] \n  9 -> 21 [size =\"52115456\"]\n  9 -> 23 [size =\"52115456\"]\n  9 -> 26 [size =\"52115456\"]\n  9 -> 31 [size =\"52115456\"]\n  10 [size=\"147343360\", alpha=\"0.17\", expect_size=\"44203008\"] \n  10 -> 18 [size =\"44203008\"]\n  10 -> 20 [size =\"44203008\"]\n  10 -> 21 [size =\"44203008\"]\n  10 -> 23 [size =\"44203008\"]\n  10 -> 25 [size =\"44203008\"]\n  10 -> 26 [size =\"44203008\"]\n  10 -> 27 [size =\"44203008\"]\n  10 -> 30 [size =\"44203008\"]\n  11 [size=\"160112640\", alpha=\"0.03\", expect_size=\"48033792\"] \n  11 -> 18 [size =\"48033792\"]\n  11 -> 20 [size =\"48033792\"]\n  11 -> 21 [size =\"48033792\"]\n  11 -> 22 [size =\"48033792\"]\n  11 -> 23 [size =\"48033792\"]\n  11 -> 27 [size =\"48033792\"]\n  11 -> 28 [size =\"48033792\"]\n  12 [size=\"120364373\", alpha=\"0.17\", expect_size=\"36109312\"] \n  12 -> 17 [size =\"36109312\"]\n  12 -> 21 [size =\"36109312\"]\n  12 -> 22 [size =\"36109312\"]\n  12 -> 23 [size =\"36109312\"]\n  12 -> 30 [size =\"36109312\"]\n  13 [size=\"36621653\", alpha=\"0.11\", expect_size=\"10986496\"] \n  13 -> 18 [size =\"10986496\"]\n  13 -> 23 [size =\"10986496\"]\n  13 -> 25 [size =\"10986496\"]\n  13 -> 26 [size =\"10986496\"]\n  13 -> 30 [size =\"10986496\"]\n  13 -> 31 [size =\"10986496\"]\n  14 [size=\"164423680\", alpha=\"0.19\", expect_size=\"49327104\"] \n  14 -> 18 [size =\"49327104\"]\n  14 -> 19 [size =\"49327104\"]\n  14 -> 23 [size =\"49327104\"]\n  15 [size=\"29750613\", alpha=\"0.18\", expect_size=\"8925184\"] \n  15 -> 18 [size =\"8925184\"]\n  15 -> 20 [size =\"8925184\"]\n  15 -> 21 [size =\"8925184\"]\n  15 -> 22 [size =\"8925184\"]\n  15 -> 25 [size =\"8925184\"]\n  16 [size=\"152125440\", alpha=\"0.04\", expect_size=\"45637632\"] \n  16 -> 18 [size =\"45637632\"]\n  16 -> 20 [size =\"45637632\"]\n  16 -> 21 [size =\"45637632\"]\n  16 -> 26 [size =\"45637632\"]\n  16 -> 31 [size =\"45637632\"]\n  17 [size=\"137830400\", alpha=\"0.04\", expect_size=\"41349120\"] \n  17 -> 33 [size =\"41349120\"]\n  17 -> 34 [size =\"41349120\"]\n  17 -> 40 [size =\"41349120\"]\n  17 -> 41 [size =\"41349120\"]\n  18 [size=\"53224107\", alpha=\"0.18\", expect_size=\"15967232\"] \n  18 -> 34 [size =\"15967232\"]\n  18 -> 38 [size =\"15967232\"]\n  19 [size=\"36788907\", alpha=\"0.05\", expect_size=\"11036672\"] \n  19 -> 34 [size =\"11036672\"]\n  19 -> 36 [size =\"11036672\"]\n  19 -> 37 [size =\"11036672\"]\n  19 -> 38 [size =\"11036672\"]\n  19 -> 39 [size =\"11036672\"]\n  19 -> 41 [size =\"11036672\"]\n  20 [size=\"166045013\", alpha=\"0.08\", expect_size=\"49813504\"] \n  20 -> 34 [size =\"49813504\"]\n  20 -> 37 [size =\"49813504\"]\n  20 -> 38 [size =\"49813504\"]\n  20 -> 42 [size =\"49813504\"]\n  21 [size=\"145551360\", alpha=\"0.05\", expect_size=\"43665408\"] \n  21 -> 33 [size =\"43665408\"]\n  21 -> 40 [size =\"43665408\"]\n  22 [size=\"167970133\", alpha=\"0.19\", expect_size=\"50391040\"] \n  22 -> 39 [size =\"50391040\"]\n  22 -> 40 [size =\"50391040\"]\n  23 [size=\"141619200\", alpha=\"0.10\", expect_size=\"42485760\"] \n  23 -> 33 [size =\"42485760\"]\n  23 -> 34 [size =\"42485760\"]\n  23 -> 37 [size =\"42485760\"]\n  23 -> 39 [size =\"42485760\"]\n  23 -> 40 [size =\"42485760\"]\n  24 [size=\"69393067\", alpha=\"0.10\", expect_size=\"20817920\"] \n  24 -> 33 [size =\"20817920\"]\n  24 -> 34 [size =\"20817920\"]\n  24 -> 39 [size =\"20817920\"]\n  24 -> 40 [size =\"20817920\"]\n  24 -> 40 [size =\"20817920\"]\n  24 -> 41 [size =\"20817920\"]\n  25 [size=\"60719787\", alpha=\"0.01\", expect_size=\"18215936\"] \n  25 -> 33 [size =\"18215936\"]\n  25 -> 34 [size =\"18215936\"]\n  25 -> 37 [size =\"18215936\"]\n  25 -> 39 [size =\"18215936\"]\n  25 -> 40 [size =\"18215936\"]\n  25 -> 42 [size =\"18215936\"]\n  26 [size=\"42301440\", alpha=\"0.15\", expect_size=\"12690432\"] \n  26 -> 34 [size =\"12690432\"]\n  26 -> 37 [size =\"12690432\"]\n  26 -> 37 [size =\"12690432\"]\n  26 -> 40 [size =\"12690432\"]\n  26 -> 40 [size =\"12690432\"]\n  26 -> 42 [size =\"12690432\"]\n  27 [size=\"76090027\", alpha=\"0.19\", expect_size=\"22827008\"] \n  27 -> 33 [size =\"22827008\"]\n  27 -> 37 [size =\"22827008\"]\n  27 -> 38 [size =\"22827008\"]\n  27 -> 39 [size =\"22827008\"]\n  27 -> 42 [size =\"22827008\"]\n  28 [size=\"110868480\", alpha=\"0.16\", expect_size=\"33260544\"] \n  28 -> 35 [size =\"33260544\"]\n  28 -> 37 [size =\"33260544\"]\n  28 -> 40 [size =\"33260544\"]\n  29 [size=\"93136213\", alpha=\"0.12\", expect_size=\"27940864\"] \n  29 -> 42 [size =\"27940864\"]\n  30 [size=\"129655467\", alpha=\"0.05\", expect_size=\"38896640\"] \n  30 -> 34 [size =\"38896640\"]\n  30 -> 35 [size =\"38896640\"]\n  30 -> 38 [size =\"38896640\"]\n  30 -> 39 [size =\"38896640\"]\n  30 -> 42 [size =\"38896640\"]\n  31 [size=\"34658987\", alpha=\"0.16\", expect_size=\"10397696\"] \n  31 -> 34 [size =\"10397696\"]\n  31 -> 37 [size =\"10397696\"]\n  31 -> 41 [size =\"10397696\"]\n  31 -> 42 [size =\"10397696\"]\n  32 [size=\"73704107\", alpha=\"0.01\", expect_size=\"22111232\"] \n  32 -> 33 [size =\"22111232\"]\n  32 -> 34 [size =\"22111232\"]\n  32 -> 38 [size =\"22111232\"]\n  32 -> 39 [size =\"22111232\"]\n  32 -> 40 [size =\"22111232\"]\n  32 -> 41 [size =\"22111232\"]\n  33 [size=\"69495467\", alpha=\"0.07\", expect_size=\"20848640\"] \n  33 -> 44 [size =\"20848640\"]\n  34 [size=\"147046400\", alpha=\"0.13\", expect_size=\"44113920\"] \n  35 [size=\"67126613\", alpha=\"0.20\", expect_size=\"20137984\"] \n  35 -> 44 [size =\"20137984\"]\n  35 -> 45 [size =\"20137984\"]\n  36 [size=\"72584533\", alpha=\"0.04\", expect_size=\"21775360\"] \n  36 -> 43 [size =\"21775360\"]\n  36 -> 44 [size =\"21775360\"]\n  36 -> 45 [size =\"21775360\"]\n  37 [size=\"33583787\", alpha=\"0.03\", expect_size=\"10075136\"] \n  38 [size=\"25586347\", alpha=\"0.07\", expect_size=\"7675904\"] \n  39 [size=\"148575573\", alpha=\"0.13\", expect_size=\"44572672\"] \n  39 -> 44 [size =\"44572672\"]\n  40 [size=\"86934187\", alpha=\"0.19\", expect_size=\"26080256\"] \n  41 [size=\"127819093\", alpha=\"0.00\", expect_size=\"38345728\"] \n  42 [size=\"99300693\", alpha=\"0.01\", expect_size=\"29790208\"] \n  42 -> 43 [size =\"29790208\"]\n  43 [size=\"104263680\", alpha=\"0.17\", expect_size=\"31279104\"] \n  44 [size=\"161860267\", alpha=\"0.00\", expect_size=\"48558080\"] \n  45 [size=\"104465067\", alpha=\"0.09\", expect_size=\"31339520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50571264\", alpha=\"0.04\", expect_size=\"25285632\"] \n  1 -> 15 [size =\"25285632\"]\n  1 -> 18 [size =\"25285632\"]\n  1 -> 20 [size =\"25285632\"]\n  1 -> 22 [size =\"25285632\"]\n  1 -> 25 [size =\"25285632\"]\n  1 -> 26 [size =\"25285632\"]\n  2 [size=\"62685184\", alpha=\"0.16\", expect_size=\"31342592\"] \n  2 -> 16 [size =\"31342592\"]\n  2 -> 18 [size =\"31342592\"]\n  2 -> 21 [size =\"31342592\"]\n  2 -> 22 [size =\"31342592\"]\n  2 -> 24 [size =\"31342592\"]\n  2 -> 26 [size =\"31342592\"]\n  2 -> 27 [size =\"31342592\"]\n  3 [size=\"89081856\", alpha=\"0.08\", expect_size=\"44540928\"] \n  3 -> 15 [size =\"44540928\"]\n  3 -> 16 [size =\"44540928\"]\n  3 -> 18 [size =\"44540928\"]\n  3 -> 19 [size =\"44540928\"]\n  3 -> 21 [size =\"44540928\"]\n  3 -> 26 [size =\"44540928\"]\n  4 [size=\"75235328\", alpha=\"0.10\", expect_size=\"37617664\"] \n  4 -> 20 [size =\"37617664\"]\n  4 -> 22 [size =\"37617664\"]\n  4 -> 23 [size =\"37617664\"]\n  4 -> 25 [size =\"37617664\"]\n  4 -> 26 [size =\"37617664\"]\n  4 -> 27 [size =\"37617664\"]\n  5 [size=\"35993600\", alpha=\"0.01\", expect_size=\"17996800\"] \n  5 -> 17 [size =\"17996800\"]\n  5 -> 20 [size =\"17996800\"]\n  5 -> 24 [size =\"17996800\"]\n  5 -> 26 [size =\"17996800\"]\n  6 [size=\"88004608\", alpha=\"0.02\", expect_size=\"44002304\"] \n  6 -> 18 [size =\"44002304\"]\n  6 -> 20 [size =\"44002304\"]\n  6 -> 21 [size =\"44002304\"]\n  6 -> 26 [size =\"44002304\"]\n  7 [size=\"85053440\", alpha=\"0.18\", expect_size=\"42526720\"] \n  7 -> 18 [size =\"42526720\"]\n  7 -> 20 [size =\"42526720\"]\n  7 -> 24 [size =\"42526720\"]\n  7 -> 25 [size =\"42526720\"]\n  7 -> 27 [size =\"42526720\"]\n  8 [size=\"15347712\", alpha=\"0.13\", expect_size=\"7673856\"] \n  8 -> 16 [size =\"7673856\"]\n  8 -> 18 [size =\"7673856\"]\n  8 -> 20 [size =\"7673856\"]\n  9 [size=\"44582912\", alpha=\"0.16\", expect_size=\"22291456\"] \n  9 -> 24 [size =\"22291456\"]\n  9 -> 26 [size =\"22291456\"]\n  10 [size=\"22376448\", alpha=\"0.01\", expect_size=\"11188224\"] \n  10 -> 17 [size =\"11188224\"]\n  10 -> 20 [size =\"11188224\"]\n  10 -> 21 [size =\"11188224\"]\n  10 -> 24 [size =\"11188224\"]\n  10 -> 27 [size =\"11188224\"]\n  11 [size=\"103550976\", alpha=\"0.04\", expect_size=\"51775488\"] \n  11 -> 19 [size =\"51775488\"]\n  11 -> 22 [size =\"51775488\"]\n  11 -> 25 [size =\"51775488\"]\n  11 -> 26 [size =\"51775488\"]\n  11 -> 27 [size =\"51775488\"]\n  12 [size=\"27072512\", alpha=\"0.02\", expect_size=\"13536256\"] \n  12 -> 18 [size =\"13536256\"]\n  12 -> 21 [size =\"13536256\"]\n  12 -> 27 [size =\"13536256\"]\n  13 [size=\"102952960\", alpha=\"0.19\", expect_size=\"51476480\"] \n  13 -> 17 [size =\"51476480\"]\n  13 -> 18 [size =\"51476480\"]\n  13 -> 21 [size =\"51476480\"]\n  13 -> 24 [size =\"51476480\"]\n  13 -> 25 [size =\"51476480\"]\n  13 -> 26 [size =\"51476480\"]\n  14 [size=\"47761408\", alpha=\"0.07\", expect_size=\"23880704\"] \n  14 -> 18 [size =\"23880704\"]\n  14 -> 22 [size =\"23880704\"]\n  14 -> 25 [size =\"23880704\"]\n  14 -> 26 [size =\"23880704\"]\n  15 [size=\"92981248\", alpha=\"0.06\", expect_size=\"46490624\"] \n  15 -> 29 [size =\"46490624\"]\n  15 -> 30 [size =\"46490624\"]\n  15 -> 34 [size =\"46490624\"]\n  15 -> 35 [size =\"46490624\"]\n  15 -> 36 [size =\"46490624\"]\n  16 [size=\"97454080\", alpha=\"0.09\", expect_size=\"48727040\"] \n  16 -> 29 [size =\"48727040\"]\n  16 -> 30 [size =\"48727040\"]\n  16 -> 31 [size =\"48727040\"]\n  16 -> 32 [size =\"48727040\"]\n  16 -> 33 [size =\"48727040\"]\n  16 -> 34 [size =\"48727040\"]\n  16 -> 35 [size =\"48727040\"]\n  16 -> 38 [size =\"48727040\"]\n  16 -> 39 [size =\"48727040\"]\n  17 [size=\"14600192\", alpha=\"0.19\", expect_size=\"7300096\"] \n  17 -> 28 [size =\"7300096\"]\n  17 -> 30 [size =\"7300096\"]\n  17 -> 31 [size =\"7300096\"]\n  17 -> 32 [size =\"7300096\"]\n  17 -> 33 [size =\"7300096\"]\n  17 -> 35 [size =\"7300096\"]\n  17 -> 35 [size =\"7300096\"]\n  17 -> 36 [size =\"7300096\"]\n  17 -> 39 [size =\"7300096\"]\n  18 [size=\"97269760\", alpha=\"0.19\", expect_size=\"48634880\"] \n  18 -> 28 [size =\"48634880\"]\n  18 -> 33 [size =\"48634880\"]\n  18 -> 34 [size =\"48634880\"]\n  18 -> 35 [size =\"48634880\"]\n  18 -> 36 [size =\"48634880\"]\n  18 -> 38 [size =\"48634880\"]\n  18 -> 39 [size =\"48634880\"]\n  18 -> 40 [size =\"48634880\"]\n  19 [size=\"66353152\", alpha=\"0.11\", expect_size=\"33176576\"] \n  19 -> 28 [size =\"33176576\"]\n  19 -> 32 [size =\"33176576\"]\n  19 -> 34 [size =\"33176576\"]\n  19 -> 36 [size =\"33176576\"]\n  19 -> 38 [size =\"33176576\"]\n  19 -> 39 [size =\"33176576\"]\n  20 [size=\"45602816\", alpha=\"0.12\", expect_size=\"22801408\"] \n  20 -> 28 [size =\"22801408\"]\n  20 -> 34 [size =\"22801408\"]\n  20 -> 35 [size =\"22801408\"]\n  20 -> 39 [size =\"22801408\"]\n  21 [size=\"49172480\", alpha=\"0.02\", expect_size=\"24586240\"] \n  21 -> 28 [size =\"24586240\"]\n  21 -> 31 [size =\"24586240\"]\n  21 -> 34 [size =\"24586240\"]\n  21 -> 35 [size =\"24586240\"]\n  21 -> 38 [size =\"24586240\"]\n  21 -> 39 [size =\"24586240\"]\n  22 [size=\"67401728\", alpha=\"0.03\", expect_size=\"33700864\"] \n  22 -> 28 [size =\"33700864\"]\n  22 -> 31 [size =\"33700864\"]\n  22 -> 35 [size =\"33700864\"]\n  22 -> 39 [size =\"33700864\"]\n  22 -> 40 [size =\"33700864\"]\n  23 [size=\"77246464\", alpha=\"0.01\", expect_size=\"38623232\"] \n  23 -> 40 [size =\"38623232\"]\n  24 [size=\"73431040\", alpha=\"0.12\", expect_size=\"36715520\"] \n  24 -> 28 [size =\"36715520\"]\n  24 -> 31 [size =\"36715520\"]\n  24 -> 33 [size =\"36715520\"]\n  24 -> 40 [size =\"36715520\"]\n  25 [size=\"104527872\", alpha=\"0.09\", expect_size=\"52263936\"] \n  25 -> 28 [size =\"52263936\"]\n  25 -> 29 [size =\"52263936\"]\n  25 -> 30 [size =\"52263936\"]\n  25 -> 32 [size =\"52263936\"]\n  25 -> 34 [size =\"52263936\"]\n  25 -> 39 [size =\"52263936\"]\n  26 [size=\"40757248\", alpha=\"0.02\", expect_size=\"20378624\"] \n  26 -> 29 [size =\"20378624\"]\n  26 -> 32 [size =\"20378624\"]\n  26 -> 34 [size =\"20378624\"]\n  27 [size=\"82794496\", alpha=\"0.11\", expect_size=\"41397248\"] \n  27 -> 28 [size =\"41397248\"]\n  27 -> 30 [size =\"41397248\"]\n  27 -> 35 [size =\"41397248\"]\n  27 -> 37 [size =\"41397248\"]\n  27 -> 38 [size =\"41397248\"]\n  27 -> 39 [size =\"41397248\"]\n  27 -> 40 [size =\"41397248\"]\n  28 [size=\"76785664\", alpha=\"0.01\", expect_size=\"38392832\"] \n  28 -> 45 [size =\"38392832\"]\n  29 [size=\"71305216\", alpha=\"0.19\", expect_size=\"35652608\"] \n  29 -> 42 [size =\"35652608\"]\n  29 -> 45 [size =\"35652608\"]\n  30 [size=\"28164096\", alpha=\"0.18\", expect_size=\"14082048\"] \n  30 -> 42 [size =\"14082048\"]\n  30 -> 44 [size =\"14082048\"]\n  30 -> 45 [size =\"14082048\"]\n  31 [size=\"86239232\", alpha=\"0.18\", expect_size=\"43119616\"] \n  31 -> 41 [size =\"43119616\"]\n  31 -> 42 [size =\"43119616\"]\n  31 -> 43 [size =\"43119616\"]\n  31 -> 45 [size =\"43119616\"]\n  32 [size=\"96870400\", alpha=\"0.01\", expect_size=\"48435200\"] \n  32 -> 42 [size =\"48435200\"]\n  32 -> 43 [size =\"48435200\"]\n  32 -> 43 [size =\"48435200\"]\n  32 -> 45 [size =\"48435200\"]\n  33 [size=\"17889280\", alpha=\"0.04\", expect_size=\"8944640\"] \n  33 -> 42 [size =\"8944640\"]\n  33 -> 43 [size =\"8944640\"]\n  33 -> 44 [size =\"8944640\"]\n  33 -> 45 [size =\"8944640\"]\n  34 [size=\"22261760\", alpha=\"0.14\", expect_size=\"11130880\"] \n  34 -> 41 [size =\"11130880\"]\n  34 -> 44 [size =\"11130880\"]\n  34 -> 44 [size =\"11130880\"]\n  35 [size=\"80367616\", alpha=\"0.02\", expect_size=\"40183808\"] \n  35 -> 42 [size =\"40183808\"]\n  36 [size=\"28973056\", alpha=\"0.09\", expect_size=\"14486528\"] \n  36 -> 42 [size =\"14486528\"]\n  36 -> 44 [size =\"14486528\"]\n  37 [size=\"39970816\", alpha=\"0.16\", expect_size=\"19985408\"] \n  37 -> 43 [size =\"19985408\"]\n  38 [size=\"93554688\", alpha=\"0.02\", expect_size=\"46777344\"] \n  39 [size=\"100214784\", alpha=\"0.19\", expect_size=\"50107392\"] \n  39 -> 44 [size =\"50107392\"]\n  40 [size=\"94052352\", alpha=\"0.04\", expect_size=\"47026176\"] \n  41 [size=\"86956032\", alpha=\"0.18\", expect_size=\"43478016\"] \n  42 [size=\"77623296\", alpha=\"0.03\", expect_size=\"38811648\"] \n  43 [size=\"82636800\", alpha=\"0.02\", expect_size=\"41318400\"] \n  44 [size=\"100098048\", alpha=\"0.15\", expect_size=\"50049024\"] \n  45 [size=\"72906752\", alpha=\"0.08\", expect_size=\"36453376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74158080\", alpha=\"0.07\", expect_size=\"29663232\"] \n  1 -> 8 [size =\"29663232\"]\n  1 -> 10 [size =\"29663232\"]\n  2 [size=\"33589760\", alpha=\"0.16\", expect_size=\"13435904\"] \n  2 -> 12 [size =\"13435904\"]\n  2 -> 13 [size =\"13435904\"]\n  2 -> 14 [size =\"13435904\"]\n  3 [size=\"112998400\", alpha=\"0.13\", expect_size=\"45199360\"] \n  3 -> 10 [size =\"45199360\"]\n  3 -> 14 [size =\"45199360\"]\n  4 [size=\"73953280\", alpha=\"0.03\", expect_size=\"29581312\"] \n  4 -> 11 [size =\"29581312\"]\n  4 -> 12 [size =\"29581312\"]\n  4 -> 13 [size =\"29581312\"]\n  5 [size=\"102428160\", alpha=\"0.14\", expect_size=\"40971264\"] \n  5 -> 11 [size =\"40971264\"]\n  5 -> 12 [size =\"40971264\"]\n  5 -> 13 [size =\"40971264\"]\n  5 -> 14 [size =\"40971264\"]\n  6 [size=\"39406080\", alpha=\"0.10\", expect_size=\"15762432\"] \n  6 -> 9 [size =\"15762432\"]\n  6 -> 11 [size =\"15762432\"]\n  6 -> 13 [size =\"15762432\"]\n  6 -> 14 [size =\"15762432\"]\n  7 [size=\"120842240\", alpha=\"0.01\", expect_size=\"48336896\"] \n  7 -> 8 [size =\"48336896\"]\n  7 -> 11 [size =\"48336896\"]\n  8 [size=\"97436160\", alpha=\"0.00\", expect_size=\"38974464\"] \n  8 -> 18 [size =\"38974464\"]\n  8 -> 19 [size =\"38974464\"]\n  9 [size=\"73313280\", alpha=\"0.00\", expect_size=\"29325312\"] \n  9 -> 15 [size =\"29325312\"]\n  9 -> 17 [size =\"29325312\"]\n  10 [size=\"48576000\", alpha=\"0.18\", expect_size=\"19430400\"] \n  11 [size=\"65121280\", alpha=\"0.18\", expect_size=\"26048512\"] \n  11 -> 15 [size =\"26048512\"]\n  11 -> 16 [size =\"26048512\"]\n  12 [size=\"106219520\", alpha=\"0.12\", expect_size=\"42487808\"] \n  12 -> 18 [size =\"42487808\"]\n  12 -> 19 [size =\"42487808\"]\n  13 [size=\"80944640\", alpha=\"0.10\", expect_size=\"32377856\"] \n  13 -> 15 [size =\"32377856\"]\n  14 [size=\"37176320\", alpha=\"0.19\", expect_size=\"14870528\"] \n  14 -> 18 [size =\"14870528\"]\n  15 [size=\"53667840\", alpha=\"0.03\", expect_size=\"21467136\"] \n  15 -> 20 [size =\"21467136\"]\n  15 -> 23 [size =\"21467136\"]\n  15 -> 24 [size =\"21467136\"]\n  15 -> 25 [size =\"21467136\"]\n  16 [size=\"17044480\", alpha=\"0.10\", expect_size=\"6817792\"] \n  16 -> 20 [size =\"6817792\"]\n  16 -> 22 [size =\"6817792\"]\n  16 -> 23 [size =\"6817792\"]\n  17 [size=\"76349440\", alpha=\"0.11\", expect_size=\"30539776\"] \n  17 -> 21 [size =\"30539776\"]\n  17 -> 22 [size =\"30539776\"]\n  18 [size=\"80780800\", alpha=\"0.00\", expect_size=\"32312320\"] \n  18 -> 20 [size =\"32312320\"]\n  18 -> 21 [size =\"32312320\"]\n  18 -> 22 [size =\"32312320\"]\n  18 -> 24 [size =\"32312320\"]\n  18 -> 26 [size =\"32312320\"]\n  19 [size=\"82805760\", alpha=\"0.18\", expect_size=\"33122304\"] \n  20 [size=\"84610560\", alpha=\"0.17\", expect_size=\"33844224\"] \n  20 -> 28 [size =\"33844224\"]\n  21 [size=\"75658240\", alpha=\"0.06\", expect_size=\"30263296\"] \n  21 -> 27 [size =\"30263296\"]\n  21 -> 31 [size =\"30263296\"]\n  22 [size=\"63157760\", alpha=\"0.19\", expect_size=\"25263104\"] \n  22 -> 27 [size =\"25263104\"]\n  22 -> 28 [size =\"25263104\"]\n  22 -> 31 [size =\"25263104\"]\n  22 -> 32 [size =\"25263104\"]\n  23 [size=\"16855040\", alpha=\"0.09\", expect_size=\"6742016\"] \n  23 -> 27 [size =\"6742016\"]\n  23 -> 30 [size =\"6742016\"]\n  23 -> 32 [size =\"6742016\"]\n  24 [size=\"75909120\", alpha=\"0.09\", expect_size=\"30363648\"] \n  24 -> 27 [size =\"30363648\"]\n  24 -> 30 [size =\"30363648\"]\n  24 -> 32 [size =\"30363648\"]\n  24 -> 33 [size =\"30363648\"]\n  25 [size=\"67404800\", alpha=\"0.04\", expect_size=\"26961920\"] \n  25 -> 28 [size =\"26961920\"]\n  25 -> 29 [size =\"26961920\"]\n  26 [size=\"85158400\", alpha=\"0.04\", expect_size=\"34063360\"] \n  26 -> 28 [size =\"34063360\"]\n  26 -> 30 [size =\"34063360\"]\n  26 -> 33 [size =\"34063360\"]\n  27 [size=\"23331840\", alpha=\"0.02\", expect_size=\"9332736\"] \n  28 [size=\"85544960\", alpha=\"0.14\", expect_size=\"34217984\"] \n  29 [size=\"88486400\", alpha=\"0.16\", expect_size=\"35394560\"] \n  29 -> 34 [size =\"35394560\"]\n  30 [size=\"74595840\", alpha=\"0.05\", expect_size=\"29838336\"] \n  31 [size=\"54858240\", alpha=\"0.02\", expect_size=\"21943296\"] \n  31 -> 35 [size =\"21943296\"]\n  31 -> 36 [size =\"21943296\"]\n  31 -> 37 [size =\"21943296\"]\n  32 [size=\"90324480\", alpha=\"0.15\", expect_size=\"36129792\"] \n  32 -> 35 [size =\"36129792\"]\n  32 -> 36 [size =\"36129792\"]\n  33 [size=\"83509760\", alpha=\"0.20\", expect_size=\"33403904\"] \n  33 -> 36 [size =\"33403904\"]\n  33 -> 37 [size =\"33403904\"]\n  34 [size=\"16343040\", alpha=\"0.08\", expect_size=\"6537216\"] \n  34 -> 38 [size =\"6537216\"]\n  34 -> 40 [size =\"6537216\"]\n  34 -> 43 [size =\"6537216\"]\n  35 [size=\"67637760\", alpha=\"0.04\", expect_size=\"27055104\"] \n  35 -> 38 [size =\"27055104\"]\n  36 [size=\"90787840\", alpha=\"0.00\", expect_size=\"36315136\"] \n  36 -> 39 [size =\"36315136\"]\n  36 -> 41 [size =\"36315136\"]\n  36 -> 42 [size =\"36315136\"]\n  36 -> 44 [size =\"36315136\"]\n  37 [size=\"112094720\", alpha=\"0.07\", expect_size=\"44837888\"] \n  37 -> 44 [size =\"44837888\"]\n  38 [size=\"121326080\", alpha=\"0.05\", expect_size=\"48530432\"] \n  39 [size=\"84853760\", alpha=\"0.16\", expect_size=\"33941504\"] \n  40 [size=\"62881280\", alpha=\"0.18\", expect_size=\"25152512\"] \n  41 [size=\"90882560\", alpha=\"0.11\", expect_size=\"36353024\"] \n  42 [size=\"102904320\", alpha=\"0.12\", expect_size=\"41161728\"] \n  42 -> 45 [size =\"41161728\"]\n  43 [size=\"74099200\", alpha=\"0.14\", expect_size=\"29639680\"] \n  43 -> 45 [size =\"29639680\"]\n  44 [size=\"72304640\", alpha=\"0.07\", expect_size=\"28921856\"] \n  44 -> 45 [size =\"28921856\"]\n  45 [size=\"121592320\", alpha=\"0.09\", expect_size=\"48636928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145288533\", alpha=\"0.17\", expect_size=\"43586560\"] \n  1 -> 2 [size =\"43586560\"]\n  2 [size=\"116258133\", alpha=\"0.19\", expect_size=\"34877440\"] \n  2 -> 3 [size =\"34877440\"]\n  3 [size=\"34839893\", alpha=\"0.05\", expect_size=\"10451968\"] \n  3 -> 4 [size =\"10451968\"]\n  4 [size=\"167877973\", alpha=\"0.04\", expect_size=\"50363392\"] \n  4 -> 5 [size =\"50363392\"]\n  5 [size=\"19042987\", alpha=\"0.00\", expect_size=\"5712896\"] \n  5 -> 6 [size =\"5712896\"]\n  6 [size=\"45670400\", alpha=\"0.18\", expect_size=\"13701120\"] \n  6 -> 7 [size =\"13701120\"]\n  7 [size=\"156709547\", alpha=\"0.15\", expect_size=\"47012864\"] \n  7 -> 8 [size =\"47012864\"]\n  8 [size=\"125323947\", alpha=\"0.11\", expect_size=\"37597184\"] \n  8 -> 9 [size =\"37597184\"]\n  9 [size=\"98276693\", alpha=\"0.02\", expect_size=\"29483008\"] \n  9 -> 10 [size =\"29483008\"]\n  10 [size=\"130877440\", alpha=\"0.11\", expect_size=\"39263232\"] \n  10 -> 11 [size =\"39263232\"]\n  11 [size=\"75973973\", alpha=\"0.06\", expect_size=\"22792192\"] \n  11 -> 12 [size =\"22792192\"]\n  12 [size=\"48841387\", alpha=\"0.11\", expect_size=\"14652416\"] \n  12 -> 13 [size =\"14652416\"]\n  13 [size=\"41888427\", alpha=\"0.19\", expect_size=\"12566528\"] \n  13 -> 14 [size =\"12566528\"]\n  14 [size=\"82309120\", alpha=\"0.17\", expect_size=\"24692736\"] \n  14 -> 15 [size =\"24692736\"]\n  15 [size=\"113933653\", alpha=\"0.18\", expect_size=\"34180096\"] \n  15 -> 16 [size =\"34180096\"]\n  16 [size=\"117067093\", alpha=\"0.07\", expect_size=\"35120128\"] \n  16 -> 17 [size =\"35120128\"]\n  17 [size=\"100362240\", alpha=\"0.07\", expect_size=\"30108672\"] \n  17 -> 18 [size =\"30108672\"]\n  18 [size=\"57344000\", alpha=\"0.06\", expect_size=\"17203200\"] \n  18 -> 19 [size =\"17203200\"]\n  19 [size=\"144121173\", alpha=\"0.10\", expect_size=\"43236352\"] \n  19 -> 20 [size =\"43236352\"]\n  20 [size=\"160116053\", alpha=\"0.05\", expect_size=\"48034816\"] \n  20 -> 21 [size =\"48034816\"]\n  21 [size=\"92535467\", alpha=\"0.16\", expect_size=\"27760640\"] \n  21 -> 22 [size =\"27760640\"]\n  22 [size=\"141738667\", alpha=\"0.19\", expect_size=\"42521600\"] \n  22 -> 23 [size =\"42521600\"]\n  23 [size=\"73318400\", alpha=\"0.05\", expect_size=\"21995520\"] \n  23 -> 24 [size =\"21995520\"]\n  24 [size=\"66426880\", alpha=\"0.09\", expect_size=\"19928064\"] \n  24 -> 25 [size =\"19928064\"]\n  25 [size=\"45469013\", alpha=\"0.14\", expect_size=\"13640704\"] \n  25 -> 26 [size =\"13640704\"]\n  26 [size=\"33215147\", alpha=\"0.02\", expect_size=\"9964544\"] \n  26 -> 27 [size =\"9964544\"]\n  27 [size=\"85439147\", alpha=\"0.09\", expect_size=\"25631744\"] \n  27 -> 28 [size =\"25631744\"]\n  28 [size=\"143124480\", alpha=\"0.08\", expect_size=\"42937344\"] \n  28 -> 29 [size =\"42937344\"]\n  29 [size=\"30648320\", alpha=\"0.19\", expect_size=\"9194496\"] \n  29 -> 30 [size =\"9194496\"]\n  30 [size=\"113131520\", alpha=\"0.03\", expect_size=\"33939456\"] \n  30 -> 31 [size =\"33939456\"]\n  31 [size=\"152337067\", alpha=\"0.15\", expect_size=\"45701120\"] \n  31 -> 32 [size =\"45701120\"]\n  32 [size=\"118790827\", alpha=\"0.11\", expect_size=\"35637248\"] \n  32 -> 33 [size =\"35637248\"]\n  33 [size=\"111281493\", alpha=\"0.10\", expect_size=\"33384448\"] \n  33 -> 34 [size =\"33384448\"]\n  34 [size=\"147169280\", alpha=\"0.17\", expect_size=\"44150784\"] \n  34 -> 35 [size =\"44150784\"]\n  35 [size=\"62289920\", alpha=\"0.17\", expect_size=\"18686976\"] \n  35 -> 36 [size =\"18686976\"]\n  36 [size=\"172786347\", alpha=\"0.09\", expect_size=\"51835904\"] \n  36 -> 37 [size =\"51835904\"]\n  37 [size=\"34990080\", alpha=\"0.12\", expect_size=\"10497024\"] \n  37 -> 38 [size =\"10497024\"]\n  38 [size=\"102714027\", alpha=\"0.20\", expect_size=\"30814208\"] \n  38 -> 39 [size =\"30814208\"]\n  39 [size=\"169233067\", alpha=\"0.04\", expect_size=\"50769920\"] \n  39 -> 40 [size =\"50769920\"]\n  40 [size=\"158064640\", alpha=\"0.06\", expect_size=\"47419392\"] \n  40 -> 41 [size =\"47419392\"]\n  41 [size=\"25320107\", alpha=\"0.18\", expect_size=\"7596032\"] \n  41 -> 42 [size =\"7596032\"]\n  42 [size=\"144080213\", alpha=\"0.05\", expect_size=\"43224064\"] \n  42 -> 43 [size =\"43224064\"]\n  43 [size=\"73850880\", alpha=\"0.20\", expect_size=\"22155264\"] \n  43 -> 44 [size =\"22155264\"]\n  44 [size=\"153617067\", alpha=\"0.00\", expect_size=\"46085120\"] \n  44 -> 45 [size =\"46085120\"]\n  45 [size=\"133642240\", alpha=\"0.05\", expect_size=\"40092672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152552107\", alpha=\"0.18\", expect_size=\"45765632\"] \n  1 -> 2 [size =\"45765632\"]\n  2 [size=\"18083840\", alpha=\"0.17\", expect_size=\"5425152\"] \n  2 -> 3 [size =\"5425152\"]\n  3 [size=\"152415573\", alpha=\"0.13\", expect_size=\"45724672\"] \n  3 -> 4 [size =\"45724672\"]\n  4 [size=\"107325440\", alpha=\"0.11\", expect_size=\"32197632\"] \n  4 -> 5 [size =\"32197632\"]\n  5 [size=\"47076693\", alpha=\"0.07\", expect_size=\"14123008\"] \n  5 -> 6 [size =\"14123008\"]\n  6 [size=\"87347200\", alpha=\"0.00\", expect_size=\"26204160\"] \n  6 -> 7 [size =\"26204160\"]\n  7 [size=\"144285013\", alpha=\"0.05\", expect_size=\"43285504\"] \n  7 -> 8 [size =\"43285504\"]\n  8 [size=\"86333440\", alpha=\"0.15\", expect_size=\"25900032\"] \n  8 -> 9 [size =\"25900032\"]\n  9 [size=\"108424533\", alpha=\"0.19\", expect_size=\"32527360\"] \n  9 -> 10 [size =\"32527360\"]\n  10 [size=\"120190293\", alpha=\"0.12\", expect_size=\"36057088\"] \n  10 -> 11 [size =\"36057088\"]\n  11 [size=\"86691840\", alpha=\"0.16\", expect_size=\"26007552\"] \n  11 -> 12 [size =\"26007552\"]\n  12 [size=\"68406613\", alpha=\"0.10\", expect_size=\"20521984\"] \n  12 -> 13 [size =\"20521984\"]\n  13 [size=\"42663253\", alpha=\"0.08\", expect_size=\"12798976\"] \n  13 -> 14 [size =\"12798976\"]\n  14 [size=\"148080640\", alpha=\"0.09\", expect_size=\"44424192\"] \n  14 -> 15 [size =\"44424192\"]\n  15 [size=\"74748587\", alpha=\"0.14\", expect_size=\"22424576\"] \n  15 -> 16 [size =\"22424576\"]\n  16 [size=\"128740693\", alpha=\"0.17\", expect_size=\"38622208\"] \n  16 -> 17 [size =\"38622208\"]\n  17 [size=\"129611093\", alpha=\"0.16\", expect_size=\"38883328\"] \n  17 -> 18 [size =\"38883328\"]\n  18 [size=\"166447787\", alpha=\"0.17\", expect_size=\"49934336\"] \n  18 -> 19 [size =\"49934336\"]\n  19 [size=\"130048000\", alpha=\"0.19\", expect_size=\"39014400\"] \n  19 -> 20 [size =\"39014400\"]\n  20 [size=\"123866453\", alpha=\"0.13\", expect_size=\"37159936\"] \n  20 -> 21 [size =\"37159936\"]\n  21 [size=\"59269120\", alpha=\"0.04\", expect_size=\"17780736\"] \n  21 -> 22 [size =\"17780736\"]\n  22 [size=\"28276053\", alpha=\"0.16\", expect_size=\"8482816\"] \n  22 -> 23 [size =\"8482816\"]\n  23 [size=\"108134400\", alpha=\"0.04\", expect_size=\"32440320\"] \n  23 -> 24 [size =\"32440320\"]\n  24 [size=\"169574400\", alpha=\"0.04\", expect_size=\"50872320\"] \n  24 -> 25 [size =\"50872320\"]\n  25 [size=\"84889600\", alpha=\"0.07\", expect_size=\"25466880\"] \n  25 -> 26 [size =\"25466880\"]\n  26 [size=\"34365440\", alpha=\"0.20\", expect_size=\"10309632\"] \n  26 -> 27 [size =\"10309632\"]\n  27 [size=\"169325227\", alpha=\"0.08\", expect_size=\"50797568\"] \n  27 -> 28 [size =\"50797568\"]\n  28 [size=\"135785813\", alpha=\"0.06\", expect_size=\"40735744\"] \n  28 -> 29 [size =\"40735744\"]\n  29 [size=\"109370027\", alpha=\"0.15\", expect_size=\"32811008\"] \n  29 -> 30 [size =\"32811008\"]\n  30 [size=\"103772160\", alpha=\"0.17\", expect_size=\"31131648\"] \n  30 -> 31 [size =\"31131648\"]\n  31 [size=\"50804053\", alpha=\"0.07\", expect_size=\"15241216\"] \n  31 -> 32 [size =\"15241216\"]\n  32 [size=\"85551787\", alpha=\"0.05\", expect_size=\"25665536\"] \n  32 -> 33 [size =\"25665536\"]\n  33 [size=\"51329707\", alpha=\"0.05\", expect_size=\"15398912\"] \n  33 -> 34 [size =\"15398912\"]\n  34 [size=\"83083947\", alpha=\"0.02\", expect_size=\"24925184\"] \n  34 -> 35 [size =\"24925184\"]\n  35 [size=\"113377280\", alpha=\"0.07\", expect_size=\"34013184\"] \n  35 -> 36 [size =\"34013184\"]\n  36 [size=\"171813547\", alpha=\"0.05\", expect_size=\"51544064\"] \n  36 -> 37 [size =\"51544064\"]\n  37 [size=\"170977280\", alpha=\"0.18\", expect_size=\"51293184\"] \n  37 -> 38 [size =\"51293184\"]\n  38 [size=\"80397653\", alpha=\"0.09\", expect_size=\"24119296\"] \n  38 -> 39 [size =\"24119296\"]\n  39 [size=\"126211413\", alpha=\"0.15\", expect_size=\"37863424\"] \n  39 -> 40 [size =\"37863424\"]\n  40 [size=\"84800853\", alpha=\"0.15\", expect_size=\"25440256\"] \n  40 -> 41 [size =\"25440256\"]\n  41 [size=\"58876587\", alpha=\"0.20\", expect_size=\"17662976\"] \n  41 -> 42 [size =\"17662976\"]\n  42 [size=\"117657600\", alpha=\"0.06\", expect_size=\"35297280\"] \n  42 -> 43 [size =\"35297280\"]\n  43 [size=\"154791253\", alpha=\"0.04\", expect_size=\"46437376\"] \n  43 -> 44 [size =\"46437376\"]\n  44 [size=\"38174720\", alpha=\"0.01\", expect_size=\"11452416\"] \n  44 -> 45 [size =\"11452416\"]\n  45 [size=\"55702187\", alpha=\"0.07\", expect_size=\"16710656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79670613\", alpha=\"0.03\", expect_size=\"23901184\"] \n  1 -> 23 [size =\"23901184\"]\n  1 -> 28 [size =\"23901184\"]\n  1 -> 30 [size =\"23901184\"]\n  1 -> 31 [size =\"23901184\"]\n  1 -> 32 [size =\"23901184\"]\n  1 -> 33 [size =\"23901184\"]\n  1 -> 36 [size =\"23901184\"]\n  1 -> 37 [size =\"23901184\"]\n  1 -> 39 [size =\"23901184\"]\n  1 -> 40 [size =\"23901184\"]\n  1 -> 43 [size =\"23901184\"]\n  1 -> 44 [size =\"23901184\"]\n  2 [size=\"145237333\", alpha=\"0.12\", expect_size=\"43571200\"] \n  2 -> 23 [size =\"43571200\"]\n  2 -> 24 [size =\"43571200\"]\n  2 -> 26 [size =\"43571200\"]\n  2 -> 31 [size =\"43571200\"]\n  2 -> 32 [size =\"43571200\"]\n  2 -> 33 [size =\"43571200\"]\n  2 -> 36 [size =\"43571200\"]\n  2 -> 38 [size =\"43571200\"]\n  2 -> 39 [size =\"43571200\"]\n  2 -> 40 [size =\"43571200\"]\n  2 -> 41 [size =\"43571200\"]\n  2 -> 43 [size =\"43571200\"]\n  2 -> 44 [size =\"43571200\"]\n  3 [size=\"30924800\", alpha=\"0.19\", expect_size=\"9277440\"] \n  3 -> 23 [size =\"9277440\"]\n  3 -> 28 [size =\"9277440\"]\n  3 -> 30 [size =\"9277440\"]\n  3 -> 32 [size =\"9277440\"]\n  3 -> 32 [size =\"9277440\"]\n  3 -> 33 [size =\"9277440\"]\n  3 -> 35 [size =\"9277440\"]\n  3 -> 37 [size =\"9277440\"]\n  3 -> 38 [size =\"9277440\"]\n  3 -> 39 [size =\"9277440\"]\n  3 -> 40 [size =\"9277440\"]\n  3 -> 43 [size =\"9277440\"]\n  3 -> 44 [size =\"9277440\"]\n  4 [size=\"65935360\", alpha=\"0.16\", expect_size=\"19780608\"] \n  4 -> 23 [size =\"19780608\"]\n  4 -> 24 [size =\"19780608\"]\n  4 -> 28 [size =\"19780608\"]\n  4 -> 32 [size =\"19780608\"]\n  4 -> 33 [size =\"19780608\"]\n  4 -> 33 [size =\"19780608\"]\n  4 -> 36 [size =\"19780608\"]\n  4 -> 38 [size =\"19780608\"]\n  4 -> 38 [size =\"19780608\"]\n  4 -> 39 [size =\"19780608\"]\n  4 -> 40 [size =\"19780608\"]\n  4 -> 43 [size =\"19780608\"]\n  4 -> 44 [size =\"19780608\"]\n  5 [size=\"140335787\", alpha=\"0.19\", expect_size=\"42100736\"] \n  5 -> 28 [size =\"42100736\"]\n  5 -> 32 [size =\"42100736\"]\n  5 -> 33 [size =\"42100736\"]\n  5 -> 36 [size =\"42100736\"]\n  5 -> 38 [size =\"42100736\"]\n  5 -> 39 [size =\"42100736\"]\n  5 -> 40 [size =\"42100736\"]\n  5 -> 43 [size =\"42100736\"]\n  5 -> 44 [size =\"42100736\"]\n  5 -> 45 [size =\"42100736\"]\n  6 [size=\"124433067\", alpha=\"0.15\", expect_size=\"37329920\"] \n  6 -> 27 [size =\"37329920\"]\n  6 -> 28 [size =\"37329920\"]\n  6 -> 32 [size =\"37329920\"]\n  6 -> 33 [size =\"37329920\"]\n  6 -> 36 [size =\"37329920\"]\n  6 -> 38 [size =\"37329920\"]\n  6 -> 39 [size =\"37329920\"]\n  6 -> 40 [size =\"37329920\"]\n  6 -> 44 [size =\"37329920\"]\n  7 [size=\"97071787\", alpha=\"0.05\", expect_size=\"29121536\"] \n  7 -> 27 [size =\"29121536\"]\n  7 -> 32 [size =\"29121536\"]\n  7 -> 33 [size =\"29121536\"]\n  7 -> 35 [size =\"29121536\"]\n  7 -> 36 [size =\"29121536\"]\n  7 -> 37 [size =\"29121536\"]\n  7 -> 38 [size =\"29121536\"]\n  7 -> 39 [size =\"29121536\"]\n  7 -> 40 [size =\"29121536\"]\n  7 -> 41 [size =\"29121536\"]\n  7 -> 43 [size =\"29121536\"]\n  7 -> 44 [size =\"29121536\"]\n  8 [size=\"169045333\", alpha=\"0.16\", expect_size=\"50713600\"] \n  8 -> 23 [size =\"50713600\"]\n  8 -> 27 [size =\"50713600\"]\n  8 -> 28 [size =\"50713600\"]\n  8 -> 31 [size =\"50713600\"]\n  8 -> 32 [size =\"50713600\"]\n  8 -> 33 [size =\"50713600\"]\n  8 -> 38 [size =\"50713600\"]\n  8 -> 40 [size =\"50713600\"]\n  8 -> 41 [size =\"50713600\"]\n  8 -> 44 [size =\"50713600\"]\n  9 [size=\"24606720\", alpha=\"0.20\", expect_size=\"7382016\"] \n  9 -> 23 [size =\"7382016\"]\n  9 -> 28 [size =\"7382016\"]\n  9 -> 32 [size =\"7382016\"]\n  9 -> 33 [size =\"7382016\"]\n  9 -> 38 [size =\"7382016\"]\n  9 -> 39 [size =\"7382016\"]\n  9 -> 41 [size =\"7382016\"]\n  10 [size=\"157965653\", alpha=\"0.01\", expect_size=\"47389696\"] \n  10 -> 28 [size =\"47389696\"]\n  10 -> 28 [size =\"47389696\"]\n  10 -> 30 [size =\"47389696\"]\n  10 -> 32 [size =\"47389696\"]\n  10 -> 33 [size =\"47389696\"]\n  10 -> 36 [size =\"47389696\"]\n  10 -> 37 [size =\"47389696\"]\n  10 -> 38 [size =\"47389696\"]\n  10 -> 41 [size =\"47389696\"]\n  10 -> 44 [size =\"47389696\"]\n  10 -> 45 [size =\"47389696\"]\n  11 [size=\"147370667\", alpha=\"0.15\", expect_size=\"44211200\"] \n  11 -> 30 [size =\"44211200\"]\n  11 -> 36 [size =\"44211200\"]\n  11 -> 37 [size =\"44211200\"]\n  11 -> 38 [size =\"44211200\"]\n  11 -> 41 [size =\"44211200\"]\n  11 -> 43 [size =\"44211200\"]\n  12 [size=\"169062400\", alpha=\"0.16\", expect_size=\"50718720\"] \n  12 -> 30 [size =\"50718720\"]\n  12 -> 32 [size =\"50718720\"]\n  12 -> 35 [size =\"50718720\"]\n  12 -> 36 [size =\"50718720\"]\n  12 -> 37 [size =\"50718720\"]\n  12 -> 38 [size =\"50718720\"]\n  12 -> 41 [size =\"50718720\"]\n  12 -> 43 [size =\"50718720\"]\n  12 -> 44 [size =\"50718720\"]\n  12 -> 45 [size =\"50718720\"]\n  13 [size=\"105984000\", alpha=\"0.12\", expect_size=\"31795200\"] \n  13 -> 29 [size =\"31795200\"]\n  13 -> 33 [size =\"31795200\"]\n  13 -> 34 [size =\"31795200\"]\n  13 -> 36 [size =\"31795200\"]\n  13 -> 37 [size =\"31795200\"]\n  13 -> 38 [size =\"31795200\"]\n  13 -> 40 [size =\"31795200\"]\n  13 -> 41 [size =\"31795200\"]\n  13 -> 43 [size =\"31795200\"]\n  13 -> 44 [size =\"31795200\"]\n  14 [size=\"98577067\", alpha=\"0.07\", expect_size=\"29573120\"] \n  14 -> 23 [size =\"29573120\"]\n  14 -> 24 [size =\"29573120\"]\n  14 -> 27 [size =\"29573120\"]\n  14 -> 28 [size =\"29573120\"]\n  14 -> 30 [size =\"29573120\"]\n  14 -> 32 [size =\"29573120\"]\n  14 -> 33 [size =\"29573120\"]\n  14 -> 34 [size =\"29573120\"]\n  14 -> 35 [size =\"29573120\"]\n  14 -> 36 [size =\"29573120\"]\n  14 -> 38 [size =\"29573120\"]\n  14 -> 39 [size =\"29573120\"]\n  14 -> 41 [size =\"29573120\"]\n  14 -> 43 [size =\"29573120\"]\n  14 -> 44 [size =\"29573120\"]\n  14 -> 45 [size =\"29573120\"]\n  15 [size=\"69474987\", alpha=\"0.07\", expect_size=\"20842496\"] \n  15 -> 23 [size =\"20842496\"]\n  15 -> 27 [size =\"20842496\"]\n  15 -> 28 [size =\"20842496\"]\n  15 -> 30 [size =\"20842496\"]\n  15 -> 35 [size =\"20842496\"]\n  15 -> 36 [size =\"20842496\"]\n  15 -> 38 [size =\"20842496\"]\n  15 -> 40 [size =\"20842496\"]\n  15 -> 41 [size =\"20842496\"]\n  15 -> 42 [size =\"20842496\"]\n  15 -> 44 [size =\"20842496\"]\n  15 -> 45 [size =\"20842496\"]\n  16 [size=\"62962347\", alpha=\"0.05\", expect_size=\"18888704\"] \n  16 -> 25 [size =\"18888704\"]\n  16 -> 27 [size =\"18888704\"]\n  16 -> 28 [size =\"18888704\"]\n  16 -> 36 [size =\"18888704\"]\n  16 -> 38 [size =\"18888704\"]\n  16 -> 41 [size =\"18888704\"]\n  16 -> 44 [size =\"18888704\"]\n  16 -> 45 [size =\"18888704\"]\n  17 [size=\"27463680\", alpha=\"0.11\", expect_size=\"8239104\"] \n  17 -> 23 [size =\"8239104\"]\n  17 -> 28 [size =\"8239104\"]\n  17 -> 29 [size =\"8239104\"]\n  17 -> 36 [size =\"8239104\"]\n  17 -> 37 [size =\"8239104\"]\n  17 -> 38 [size =\"8239104\"]\n  17 -> 39 [size =\"8239104\"]\n  17 -> 40 [size =\"8239104\"]\n  17 -> 41 [size =\"8239104\"]\n  17 -> 43 [size =\"8239104\"]\n  17 -> 44 [size =\"8239104\"]\n  17 -> 45 [size =\"8239104\"]\n  18 [size=\"64723627\", alpha=\"0.04\", expect_size=\"19417088\"] \n  18 -> 23 [size =\"19417088\"]\n  18 -> 27 [size =\"19417088\"]\n  18 -> 36 [size =\"19417088\"]\n  18 -> 37 [size =\"19417088\"]\n  18 -> 38 [size =\"19417088\"]\n  18 -> 39 [size =\"19417088\"]\n  18 -> 39 [size =\"19417088\"]\n  18 -> 40 [size =\"19417088\"]\n  18 -> 41 [size =\"19417088\"]\n  18 -> 43 [size =\"19417088\"]\n  18 -> 44 [size =\"19417088\"]\n  19 [size=\"36222293\", alpha=\"0.15\", expect_size=\"10866688\"] \n  19 -> 27 [size =\"10866688\"]\n  19 -> 32 [size =\"10866688\"]\n  19 -> 36 [size =\"10866688\"]\n  19 -> 37 [size =\"10866688\"]\n  19 -> 39 [size =\"10866688\"]\n  19 -> 39 [size =\"10866688\"]\n  19 -> 40 [size =\"10866688\"]\n  19 -> 41 [size =\"10866688\"]\n  19 -> 41 [size =\"10866688\"]\n  19 -> 43 [size =\"10866688\"]\n  19 -> 44 [size =\"10866688\"]\n  20 [size=\"34699947\", alpha=\"0.19\", expect_size=\"10409984\"] \n  20 -> 23 [size =\"10409984\"]\n  20 -> 32 [size =\"10409984\"]\n  20 -> 33 [size =\"10409984\"]\n  20 -> 36 [size =\"10409984\"]\n  20 -> 37 [size =\"10409984\"]\n  20 -> 38 [size =\"10409984\"]\n  20 -> 39 [size =\"10409984\"]\n  20 -> 41 [size =\"10409984\"]\n  20 -> 43 [size =\"10409984\"]\n  20 -> 43 [size =\"10409984\"]\n  20 -> 44 [size =\"10409984\"]\n  21 [size=\"43987627\", alpha=\"0.11\", expect_size=\"13196288\"] \n  21 -> 23 [size =\"13196288\"]\n  21 -> 30 [size =\"13196288\"]\n  21 -> 32 [size =\"13196288\"]\n  21 -> 38 [size =\"13196288\"]\n  21 -> 39 [size =\"13196288\"]\n  21 -> 40 [size =\"13196288\"]\n  21 -> 41 [size =\"13196288\"]\n  21 -> 43 [size =\"13196288\"]\n  21 -> 43 [size =\"13196288\"]\n  21 -> 44 [size =\"13196288\"]\n  22 [size=\"164276907\", alpha=\"0.19\", expect_size=\"49283072\"] \n  22 -> 23 [size =\"49283072\"]\n  22 -> 28 [size =\"49283072\"]\n  22 -> 30 [size =\"49283072\"]\n  22 -> 32 [size =\"49283072\"]\n  22 -> 36 [size =\"49283072\"]\n  22 -> 39 [size =\"49283072\"]\n  22 -> 43 [size =\"49283072\"]\n  22 -> 43 [size =\"49283072\"]\n  22 -> 44 [size =\"49283072\"]\n  23 [size=\"131546453\", alpha=\"0.09\", expect_size=\"39463936\"] \n  24 [size=\"71553707\", alpha=\"0.05\", expect_size=\"21466112\"] \n  25 [size=\"127805440\", alpha=\"0.16\", expect_size=\"38341632\"] \n  26 [size=\"27549013\", alpha=\"0.02\", expect_size=\"8264704\"] \n  27 [size=\"65556480\", alpha=\"0.17\", expect_size=\"19666944\"] \n  28 [size=\"149063680\", alpha=\"0.12\", expect_size=\"44719104\"] \n  29 [size=\"20469760\", alpha=\"0.07\", expect_size=\"6140928\"] \n  30 [size=\"134625280\", alpha=\"0.01\", expect_size=\"40387584\"] \n  31 [size=\"123364693\", alpha=\"0.11\", expect_size=\"37009408\"] \n  32 [size=\"48889173\", alpha=\"0.00\", expect_size=\"14666752\"] \n  33 [size=\"38959787\", alpha=\"0.01\", expect_size=\"11687936\"] \n  34 [size=\"107025067\", alpha=\"0.12\", expect_size=\"32107520\"] \n  35 [size=\"144257707\", alpha=\"0.09\", expect_size=\"43277312\"] \n  36 [size=\"116237653\", alpha=\"0.12\", expect_size=\"34871296\"] \n  37 [size=\"129918293\", alpha=\"0.17\", expect_size=\"38975488\"] \n  38 [size=\"107618987\", alpha=\"0.07\", expect_size=\"32285696\"] \n  39 [size=\"43615573\", alpha=\"0.00\", expect_size=\"13084672\"] \n  40 [size=\"102331733\", alpha=\"0.15\", expect_size=\"30699520\"] \n  41 [size=\"109687467\", alpha=\"0.14\", expect_size=\"32906240\"] \n  42 [size=\"38283947\", alpha=\"0.11\", expect_size=\"11485184\"] \n  43 [size=\"39717547\", alpha=\"0.02\", expect_size=\"11915264\"] \n  44 [size=\"45202773\", alpha=\"0.01\", expect_size=\"13560832\"] \n  45 [size=\"135843840\", alpha=\"0.13\", expect_size=\"40753152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96689493\", alpha=\"0.05\", expect_size=\"29006848\"] \n  1 -> 14 [size =\"29006848\"]\n  1 -> 15 [size =\"29006848\"]\n  1 -> 16 [size =\"29006848\"]\n  1 -> 17 [size =\"29006848\"]\n  1 -> 23 [size =\"29006848\"]\n  1 -> 24 [size =\"29006848\"]\n  1 -> 25 [size =\"29006848\"]\n  2 [size=\"125416107\", alpha=\"0.10\", expect_size=\"37624832\"] \n  2 -> 17 [size =\"37624832\"]\n  2 -> 22 [size =\"37624832\"]\n  2 -> 24 [size =\"37624832\"]\n  2 -> 25 [size =\"37624832\"]\n  2 -> 26 [size =\"37624832\"]\n  3 [size=\"91180373\", alpha=\"0.01\", expect_size=\"27354112\"] \n  3 -> 14 [size =\"27354112\"]\n  3 -> 15 [size =\"27354112\"]\n  3 -> 16 [size =\"27354112\"]\n  3 -> 17 [size =\"27354112\"]\n  3 -> 22 [size =\"27354112\"]\n  3 -> 26 [size =\"27354112\"]\n  4 [size=\"82694827\", alpha=\"0.18\", expect_size=\"24808448\"] \n  4 -> 14 [size =\"24808448\"]\n  4 -> 17 [size =\"24808448\"]\n  4 -> 19 [size =\"24808448\"]\n  4 -> 22 [size =\"24808448\"]\n  4 -> 24 [size =\"24808448\"]\n  4 -> 25 [size =\"24808448\"]\n  4 -> 26 [size =\"24808448\"]\n  5 [size=\"67365547\", alpha=\"0.05\", expect_size=\"20209664\"] \n  5 -> 17 [size =\"20209664\"]\n  5 -> 17 [size =\"20209664\"]\n  5 -> 18 [size =\"20209664\"]\n  5 -> 19 [size =\"20209664\"]\n  5 -> 20 [size =\"20209664\"]\n  5 -> 21 [size =\"20209664\"]\n  5 -> 23 [size =\"20209664\"]\n  5 -> 26 [size =\"20209664\"]\n  6 [size=\"110663680\", alpha=\"0.08\", expect_size=\"33199104\"] \n  6 -> 14 [size =\"33199104\"]\n  6 -> 15 [size =\"33199104\"]\n  6 -> 18 [size =\"33199104\"]\n  6 -> 22 [size =\"33199104\"]\n  6 -> 26 [size =\"33199104\"]\n  7 [size=\"117486933\", alpha=\"0.02\", expect_size=\"35246080\"] \n  7 -> 15 [size =\"35246080\"]\n  7 -> 16 [size =\"35246080\"]\n  7 -> 19 [size =\"35246080\"]\n  7 -> 23 [size =\"35246080\"]\n  8 [size=\"138475520\", alpha=\"0.08\", expect_size=\"41542656\"] \n  8 -> 23 [size =\"41542656\"]\n  9 [size=\"43506347\", alpha=\"0.18\", expect_size=\"13051904\"] \n  9 -> 16 [size =\"13051904\"]\n  9 -> 17 [size =\"13051904\"]\n  9 -> 19 [size =\"13051904\"]\n  9 -> 23 [size =\"13051904\"]\n  9 -> 24 [size =\"13051904\"]\n  10 [size=\"88043520\", alpha=\"0.18\", expect_size=\"26413056\"] \n  10 -> 15 [size =\"26413056\"]\n  10 -> 16 [size =\"26413056\"]\n  10 -> 18 [size =\"26413056\"]\n  10 -> 19 [size =\"26413056\"]\n  10 -> 22 [size =\"26413056\"]\n  10 -> 23 [size =\"26413056\"]\n  10 -> 25 [size =\"26413056\"]\n  10 -> 26 [size =\"26413056\"]\n  11 [size=\"63368533\", alpha=\"0.03\", expect_size=\"19010560\"] \n  11 -> 15 [size =\"19010560\"]\n  11 -> 16 [size =\"19010560\"]\n  11 -> 18 [size =\"19010560\"]\n  11 -> 20 [size =\"19010560\"]\n  11 -> 25 [size =\"19010560\"]\n  11 -> 26 [size =\"19010560\"]\n  12 [size=\"102004053\", alpha=\"0.17\", expect_size=\"30601216\"] \n  12 -> 15 [size =\"30601216\"]\n  12 -> 16 [size =\"30601216\"]\n  12 -> 20 [size =\"30601216\"]\n  12 -> 25 [size =\"30601216\"]\n  12 -> 25 [size =\"30601216\"]\n  13 [size=\"22053547\", alpha=\"0.20\", expect_size=\"6616064\"] \n  13 -> 14 [size =\"6616064\"]\n  13 -> 17 [size =\"6616064\"]\n  13 -> 18 [size =\"6616064\"]\n  13 -> 20 [size =\"6616064\"]\n  13 -> 21 [size =\"6616064\"]\n  13 -> 23 [size =\"6616064\"]\n  14 [size=\"27764053\", alpha=\"0.15\", expect_size=\"8329216\"] \n  14 -> 38 [size =\"8329216\"]\n  15 [size=\"172103680\", alpha=\"0.19\", expect_size=\"51631104\"] \n  15 -> 32 [size =\"51631104\"]\n  15 -> 38 [size =\"51631104\"]\n  15 -> 39 [size =\"51631104\"]\n  16 [size=\"55336960\", alpha=\"0.02\", expect_size=\"16601088\"] \n  16 -> 36 [size =\"16601088\"]\n  16 -> 38 [size =\"16601088\"]\n  16 -> 39 [size =\"16601088\"]\n  17 [size=\"116387840\", alpha=\"0.06\", expect_size=\"34916352\"] \n  17 -> 27 [size =\"34916352\"]\n  17 -> 29 [size =\"34916352\"]\n  17 -> 32 [size =\"34916352\"]\n  17 -> 35 [size =\"34916352\"]\n  17 -> 36 [size =\"34916352\"]\n  17 -> 39 [size =\"34916352\"]\n  17 -> 41 [size =\"34916352\"]\n  18 [size=\"131979947\", alpha=\"0.05\", expect_size=\"39593984\"] \n  18 -> 28 [size =\"39593984\"]\n  18 -> 32 [size =\"39593984\"]\n  18 -> 35 [size =\"39593984\"]\n  18 -> 39 [size =\"39593984\"]\n  18 -> 41 [size =\"39593984\"]\n  19 [size=\"40813227\", alpha=\"0.15\", expect_size=\"12243968\"] \n  19 -> 30 [size =\"12243968\"]\n  19 -> 33 [size =\"12243968\"]\n  19 -> 35 [size =\"12243968\"]\n  19 -> 38 [size =\"12243968\"]\n  19 -> 39 [size =\"12243968\"]\n  19 -> 40 [size =\"12243968\"]\n  20 [size=\"27886933\", alpha=\"0.10\", expect_size=\"8366080\"] \n  20 -> 30 [size =\"8366080\"]\n  20 -> 35 [size =\"8366080\"]\n  20 -> 39 [size =\"8366080\"]\n  21 [size=\"171823787\", alpha=\"0.16\", expect_size=\"51547136\"] \n  21 -> 29 [size =\"51547136\"]\n  21 -> 32 [size =\"51547136\"]\n  21 -> 33 [size =\"51547136\"]\n  21 -> 35 [size =\"51547136\"]\n  21 -> 38 [size =\"51547136\"]\n  21 -> 39 [size =\"51547136\"]\n  22 [size=\"40488960\", alpha=\"0.15\", expect_size=\"12146688\"] \n  22 -> 33 [size =\"12146688\"]\n  22 -> 35 [size =\"12146688\"]\n  22 -> 40 [size =\"12146688\"]\n  23 [size=\"17960960\", alpha=\"0.03\", expect_size=\"5388288\"] \n  23 -> 28 [size =\"5388288\"]\n  23 -> 32 [size =\"5388288\"]\n  23 -> 33 [size =\"5388288\"]\n  23 -> 34 [size =\"5388288\"]\n  23 -> 35 [size =\"5388288\"]\n  23 -> 37 [size =\"5388288\"]\n  23 -> 38 [size =\"5388288\"]\n  23 -> 39 [size =\"5388288\"]\n  24 [size=\"172605440\", alpha=\"0.20\", expect_size=\"51781632\"] \n  24 -> 27 [size =\"51781632\"]\n  24 -> 29 [size =\"51781632\"]\n  24 -> 31 [size =\"51781632\"]\n  24 -> 35 [size =\"51781632\"]\n  25 [size=\"131898027\", alpha=\"0.03\", expect_size=\"39569408\"] \n  25 -> 27 [size =\"39569408\"]\n  25 -> 30 [size =\"39569408\"]\n  25 -> 31 [size =\"39569408\"]\n  25 -> 41 [size =\"39569408\"]\n  26 [size=\"122842453\", alpha=\"0.18\", expect_size=\"36852736\"] \n  26 -> 30 [size =\"36852736\"]\n  26 -> 31 [size =\"36852736\"]\n  26 -> 40 [size =\"36852736\"]\n  27 [size=\"136174933\", alpha=\"0.06\", expect_size=\"40852480\"] \n  27 -> 43 [size =\"40852480\"]\n  27 -> 45 [size =\"40852480\"]\n  28 [size=\"23070720\", alpha=\"0.09\", expect_size=\"6921216\"] \n  28 -> 42 [size =\"6921216\"]\n  28 -> 43 [size =\"6921216\"]\n  29 [size=\"59962027\", alpha=\"0.15\", expect_size=\"17988608\"] \n  29 -> 43 [size =\"17988608\"]\n  30 [size=\"19462827\", alpha=\"0.10\", expect_size=\"5838848\"] \n  31 [size=\"99239253\", alpha=\"0.11\", expect_size=\"29771776\"] \n  32 [size=\"63941973\", alpha=\"0.03\", expect_size=\"19182592\"] \n  33 [size=\"21504000\", alpha=\"0.16\", expect_size=\"6451200\"] \n  33 -> 45 [size =\"6451200\"]\n  34 [size=\"45632853\", alpha=\"0.10\", expect_size=\"13689856\"] \n  34 -> 42 [size =\"13689856\"]\n  34 -> 43 [size =\"13689856\"]\n  35 [size=\"44264107\", alpha=\"0.03\", expect_size=\"13279232\"] \n  36 [size=\"67293867\", alpha=\"0.01\", expect_size=\"20188160\"] \n  36 -> 44 [size =\"20188160\"]\n  37 [size=\"50616320\", alpha=\"0.12\", expect_size=\"15184896\"] \n  37 -> 43 [size =\"15184896\"]\n  38 [size=\"94252373\", alpha=\"0.18\", expect_size=\"28275712\"] \n  38 -> 42 [size =\"28275712\"]\n  38 -> 43 [size =\"28275712\"]\n  38 -> 44 [size =\"28275712\"]\n  39 [size=\"161908053\", alpha=\"0.06\", expect_size=\"48572416\"] \n  39 -> 43 [size =\"48572416\"]\n  39 -> 45 [size =\"48572416\"]\n  40 [size=\"122337280\", alpha=\"0.16\", expect_size=\"36701184\"] \n  41 [size=\"46103893\", alpha=\"0.05\", expect_size=\"13831168\"] \n  41 -> 43 [size =\"13831168\"]\n  42 [size=\"136386560\", alpha=\"0.18\", expect_size=\"40915968\"] \n  43 [size=\"163147093\", alpha=\"0.10\", expect_size=\"48944128\"] \n  44 [size=\"130955947\", alpha=\"0.02\", expect_size=\"39286784\"] \n  45 [size=\"50107733\", alpha=\"0.09\", expect_size=\"15032320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71365120\", alpha=\"0.12\", expect_size=\"28546048\"] \n  1 -> 2 [size =\"28546048\"]\n  2 [size=\"99537920\", alpha=\"0.01\", expect_size=\"39815168\"] \n  2 -> 3 [size =\"39815168\"]\n  3 [size=\"75663360\", alpha=\"0.02\", expect_size=\"30265344\"] \n  3 -> 4 [size =\"30265344\"]\n  4 [size=\"69852160\", alpha=\"0.07\", expect_size=\"27940864\"] \n  4 -> 5 [size =\"27940864\"]\n  5 [size=\"115581440\", alpha=\"0.14\", expect_size=\"46232576\"] \n  5 -> 6 [size =\"46232576\"]\n  6 [size=\"74616320\", alpha=\"0.02\", expect_size=\"29846528\"] \n  6 -> 7 [size =\"29846528\"]\n  7 [size=\"102786560\", alpha=\"0.09\", expect_size=\"41114624\"] \n  7 -> 8 [size =\"41114624\"]\n  8 [size=\"57292800\", alpha=\"0.16\", expect_size=\"22917120\"] \n  8 -> 9 [size =\"22917120\"]\n  9 [size=\"103938560\", alpha=\"0.06\", expect_size=\"41575424\"] \n  9 -> 10 [size =\"41575424\"]\n  10 [size=\"31836160\", alpha=\"0.13\", expect_size=\"12734464\"] \n  10 -> 11 [size =\"12734464\"]\n  11 [size=\"80701440\", alpha=\"0.17\", expect_size=\"32280576\"] \n  11 -> 12 [size =\"32280576\"]\n  12 [size=\"33935360\", alpha=\"0.14\", expect_size=\"13574144\"] \n  12 -> 13 [size =\"13574144\"]\n  13 [size=\"37560320\", alpha=\"0.02\", expect_size=\"15024128\"] \n  13 -> 14 [size =\"15024128\"]\n  14 [size=\"47687680\", alpha=\"0.01\", expect_size=\"19075072\"] \n  14 -> 15 [size =\"19075072\"]\n  15 [size=\"86673920\", alpha=\"0.06\", expect_size=\"34669568\"] \n  15 -> 16 [size =\"34669568\"]\n  16 [size=\"51476480\", alpha=\"0.16\", expect_size=\"20590592\"] \n  16 -> 17 [size =\"20590592\"]\n  17 [size=\"60587520\", alpha=\"0.01\", expect_size=\"24235008\"] \n  17 -> 18 [size =\"24235008\"]\n  18 [size=\"112691200\", alpha=\"0.15\", expect_size=\"45076480\"] \n  18 -> 19 [size =\"45076480\"]\n  19 [size=\"86789120\", alpha=\"0.15\", expect_size=\"34715648\"] \n  19 -> 20 [size =\"34715648\"]\n  20 [size=\"120780800\", alpha=\"0.00\", expect_size=\"48312320\"] \n  20 -> 21 [size =\"48312320\"]\n  21 [size=\"78817280\", alpha=\"0.15\", expect_size=\"31526912\"] \n  21 -> 22 [size =\"31526912\"]\n  22 [size=\"60963840\", alpha=\"0.05\", expect_size=\"24385536\"] \n  22 -> 23 [size =\"24385536\"]\n  23 [size=\"26821120\", alpha=\"0.05\", expect_size=\"10728448\"] \n  23 -> 24 [size =\"10728448\"]\n  24 [size=\"36858880\", alpha=\"0.15\", expect_size=\"14743552\"] \n  24 -> 25 [size =\"14743552\"]\n  25 [size=\"41203200\", alpha=\"0.02\", expect_size=\"16481280\"] \n  25 -> 26 [size =\"16481280\"]\n  26 [size=\"79208960\", alpha=\"0.00\", expect_size=\"31683584\"] \n  26 -> 27 [size =\"31683584\"]\n  27 [size=\"53665280\", alpha=\"0.13\", expect_size=\"21466112\"] \n  27 -> 28 [size =\"21466112\"]\n  28 [size=\"56919040\", alpha=\"0.13\", expect_size=\"22767616\"] \n  28 -> 29 [size =\"22767616\"]\n  29 [size=\"27555840\", alpha=\"0.09\", expect_size=\"11022336\"] \n  29 -> 30 [size =\"11022336\"]\n  30 [size=\"117509120\", alpha=\"0.08\", expect_size=\"47003648\"] \n  30 -> 31 [size =\"47003648\"]\n  31 [size=\"119736320\", alpha=\"0.19\", expect_size=\"47894528\"] \n  31 -> 32 [size =\"47894528\"]\n  32 [size=\"92497920\", alpha=\"0.13\", expect_size=\"36999168\"] \n  32 -> 33 [size =\"36999168\"]\n  33 [size=\"122227200\", alpha=\"0.11\", expect_size=\"48890880\"] \n  33 -> 34 [size =\"48890880\"]\n  34 [size=\"35548160\", alpha=\"0.15\", expect_size=\"14219264\"] \n  34 -> 35 [size =\"14219264\"]\n  35 [size=\"125140480\", alpha=\"0.11\", expect_size=\"50056192\"] \n  35 -> 36 [size =\"50056192\"]\n  36 [size=\"21619200\", alpha=\"0.14\", expect_size=\"8647680\"] \n  36 -> 37 [size =\"8647680\"]\n  37 [size=\"22425600\", alpha=\"0.05\", expect_size=\"8970240\"] \n  37 -> 38 [size =\"8970240\"]\n  38 [size=\"99269120\", alpha=\"0.13\", expect_size=\"39707648\"] \n  38 -> 39 [size =\"39707648\"]\n  39 [size=\"60413440\", alpha=\"0.13\", expect_size=\"24165376\"] \n  39 -> 40 [size =\"24165376\"]\n  40 [size=\"114649600\", alpha=\"0.12\", expect_size=\"45859840\"] \n  40 -> 41 [size =\"45859840\"]\n  41 [size=\"44784640\", alpha=\"0.02\", expect_size=\"17913856\"] \n  41 -> 42 [size =\"17913856\"]\n  42 [size=\"36372480\", alpha=\"0.19\", expect_size=\"14548992\"] \n  42 -> 43 [size =\"14548992\"]\n  43 [size=\"110248960\", alpha=\"0.20\", expect_size=\"44099584\"] \n  43 -> 44 [size =\"44099584\"]\n  44 [size=\"54932480\", alpha=\"0.04\", expect_size=\"21972992\"] \n  44 -> 45 [size =\"21972992\"]\n  45 [size=\"22976000\", alpha=\"0.13\", expect_size=\"9190400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26447872\", alpha=\"0.18\", expect_size=\"13223936\"] \n  1 -> 7 [size =\"13223936\"]\n  1 -> 9 [size =\"13223936\"]\n  1 -> 10 [size =\"13223936\"]\n  2 [size=\"80961536\", alpha=\"0.14\", expect_size=\"40480768\"] \n  2 -> 7 [size =\"40480768\"]\n  2 -> 8 [size =\"40480768\"]\n  2 -> 10 [size =\"40480768\"]\n  2 -> 11 [size =\"40480768\"]\n  3 [size=\"66605056\", alpha=\"0.06\", expect_size=\"33302528\"] \n  3 -> 7 [size =\"33302528\"]\n  3 -> 10 [size =\"33302528\"]\n  3 -> 11 [size =\"33302528\"]\n  4 [size=\"86304768\", alpha=\"0.14\", expect_size=\"43152384\"] \n  4 -> 7 [size =\"43152384\"]\n  4 -> 8 [size =\"43152384\"]\n  5 [size=\"40880128\", alpha=\"0.13\", expect_size=\"20440064\"] \n  5 -> 7 [size =\"20440064\"]\n  5 -> 10 [size =\"20440064\"]\n  5 -> 11 [size =\"20440064\"]\n  6 [size=\"51619840\", alpha=\"0.13\", expect_size=\"25809920\"] \n  6 -> 8 [size =\"25809920\"]\n  6 -> 9 [size =\"25809920\"]\n  6 -> 10 [size =\"25809920\"]\n  7 [size=\"103354368\", alpha=\"0.10\", expect_size=\"51677184\"] \n  8 [size=\"43061248\", alpha=\"0.12\", expect_size=\"21530624\"] \n  8 -> 12 [size =\"21530624\"]\n  8 -> 13 [size =\"21530624\"]\n  8 -> 16 [size =\"21530624\"]\n  9 [size=\"82460672\", alpha=\"0.01\", expect_size=\"41230336\"] \n  9 -> 12 [size =\"41230336\"]\n  9 -> 13 [size =\"41230336\"]\n  9 -> 14 [size =\"41230336\"]\n  10 [size=\"83906560\", alpha=\"0.12\", expect_size=\"41953280\"] \n  10 -> 16 [size =\"41953280\"]\n  11 [size=\"49393664\", alpha=\"0.03\", expect_size=\"24696832\"] \n  11 -> 15 [size =\"24696832\"]\n  11 -> 16 [size =\"24696832\"]\n  12 [size=\"41836544\", alpha=\"0.09\", expect_size=\"20918272\"] \n  12 -> 18 [size =\"20918272\"]\n  12 -> 19 [size =\"20918272\"]\n  12 -> 21 [size =\"20918272\"]\n  12 -> 22 [size =\"20918272\"]\n  13 [size=\"12474368\", alpha=\"0.15\", expect_size=\"6237184\"] \n  13 -> 17 [size =\"6237184\"]\n  13 -> 19 [size =\"6237184\"]\n  13 -> 21 [size =\"6237184\"]\n  14 [size=\"42020864\", alpha=\"0.03\", expect_size=\"21010432\"] \n  14 -> 17 [size =\"21010432\"]\n  14 -> 19 [size =\"21010432\"]\n  14 -> 21 [size =\"21010432\"]\n  15 [size=\"15462400\", alpha=\"0.18\", expect_size=\"7731200\"] \n  15 -> 17 [size =\"7731200\"]\n  15 -> 20 [size =\"7731200\"]\n  15 -> 21 [size =\"7731200\"]\n  15 -> 22 [size =\"7731200\"]\n  16 [size=\"77942784\", alpha=\"0.10\", expect_size=\"38971392\"] \n  16 -> 18 [size =\"38971392\"]\n  16 -> 20 [size =\"38971392\"]\n  16 -> 21 [size =\"38971392\"]\n  16 -> 22 [size =\"38971392\"]\n  17 [size=\"42862592\", alpha=\"0.08\", expect_size=\"21431296\"] \n  17 -> 23 [size =\"21431296\"]\n  18 [size=\"91435008\", alpha=\"0.19\", expect_size=\"45717504\"] \n  18 -> 23 [size =\"45717504\"]\n  18 -> 25 [size =\"45717504\"]\n  18 -> 26 [size =\"45717504\"]\n  19 [size=\"51378176\", alpha=\"0.08\", expect_size=\"25689088\"] \n  19 -> 25 [size =\"25689088\"]\n  19 -> 26 [size =\"25689088\"]\n  20 [size=\"56180736\", alpha=\"0.00\", expect_size=\"28090368\"] \n  21 [size=\"18132992\", alpha=\"0.16\", expect_size=\"9066496\"] \n  21 -> 27 [size =\"9066496\"]\n  22 [size=\"31414272\", alpha=\"0.06\", expect_size=\"15707136\"] \n  22 -> 24 [size =\"15707136\"]\n  23 [size=\"75696128\", alpha=\"0.08\", expect_size=\"37848064\"] \n  23 -> 28 [size =\"37848064\"]\n  23 -> 31 [size =\"37848064\"]\n  23 -> 32 [size =\"37848064\"]\n  24 [size=\"51079168\", alpha=\"0.06\", expect_size=\"25539584\"] \n  24 -> 28 [size =\"25539584\"]\n  24 -> 31 [size =\"25539584\"]\n  24 -> 32 [size =\"25539584\"]\n  25 [size=\"63014912\", alpha=\"0.11\", expect_size=\"31507456\"] \n  25 -> 28 [size =\"31507456\"]\n  25 -> 29 [size =\"31507456\"]\n  25 -> 30 [size =\"31507456\"]\n  25 -> 32 [size =\"31507456\"]\n  26 [size=\"52193280\", alpha=\"0.04\", expect_size=\"26096640\"] \n  26 -> 28 [size =\"26096640\"]\n  26 -> 32 [size =\"26096640\"]\n  27 [size=\"98426880\", alpha=\"0.17\", expect_size=\"49213440\"] \n  27 -> 28 [size =\"49213440\"]\n  27 -> 31 [size =\"49213440\"]\n  27 -> 32 [size =\"49213440\"]\n  28 [size=\"41506816\", alpha=\"0.17\", expect_size=\"20753408\"] \n  28 -> 34 [size =\"20753408\"]\n  28 -> 35 [size =\"20753408\"]\n  28 -> 36 [size =\"20753408\"]\n  28 -> 37 [size =\"20753408\"]\n  28 -> 37 [size =\"20753408\"]\n  29 [size=\"37185536\", alpha=\"0.12\", expect_size=\"18592768\"] \n  29 -> 34 [size =\"18592768\"]\n  29 -> 35 [size =\"18592768\"]\n  29 -> 36 [size =\"18592768\"]\n  29 -> 37 [size =\"18592768\"]\n  30 [size=\"76412928\", alpha=\"0.03\", expect_size=\"38206464\"] \n  30 -> 33 [size =\"38206464\"]\n  30 -> 34 [size =\"38206464\"]\n  30 -> 37 [size =\"38206464\"]\n  31 [size=\"77461504\", alpha=\"0.02\", expect_size=\"38730752\"] \n  31 -> 33 [size =\"38730752\"]\n  31 -> 34 [size =\"38730752\"]\n  31 -> 35 [size =\"38730752\"]\n  31 -> 36 [size =\"38730752\"]\n  32 [size=\"56289280\", alpha=\"0.08\", expect_size=\"28144640\"] \n  32 -> 33 [size =\"28144640\"]\n  32 -> 35 [size =\"28144640\"]\n  32 -> 36 [size =\"28144640\"]\n  32 -> 36 [size =\"28144640\"]\n  32 -> 37 [size =\"28144640\"]\n  33 [size=\"83380224\", alpha=\"0.14\", expect_size=\"41690112\"] \n  33 -> 39 [size =\"41690112\"]\n  33 -> 39 [size =\"41690112\"]\n  33 -> 40 [size =\"41690112\"]\n  33 -> 41 [size =\"41690112\"]\n  34 [size=\"26105856\", alpha=\"0.06\", expect_size=\"13052928\"] \n  34 -> 38 [size =\"13052928\"]\n  34 -> 41 [size =\"13052928\"]\n  35 [size=\"54661120\", alpha=\"0.00\", expect_size=\"27330560\"] \n  35 -> 39 [size =\"27330560\"]\n  35 -> 40 [size =\"27330560\"]\n  35 -> 41 [size =\"27330560\"]\n  35 -> 42 [size =\"27330560\"]\n  35 -> 43 [size =\"27330560\"]\n  36 [size=\"10696704\", alpha=\"0.08\", expect_size=\"5348352\"] \n  36 -> 38 [size =\"5348352\"]\n  36 -> 39 [size =\"5348352\"]\n  36 -> 40 [size =\"5348352\"]\n  36 -> 41 [size =\"5348352\"]\n  36 -> 43 [size =\"5348352\"]\n  37 [size=\"29720576\", alpha=\"0.03\", expect_size=\"14860288\"] \n  37 -> 38 [size =\"14860288\"]\n  37 -> 39 [size =\"14860288\"]\n  37 -> 40 [size =\"14860288\"]\n  37 -> 41 [size =\"14860288\"]\n  37 -> 43 [size =\"14860288\"]\n  38 [size=\"15859712\", alpha=\"0.15\", expect_size=\"7929856\"] \n  38 -> 45 [size =\"7929856\"]\n  39 [size=\"96059392\", alpha=\"0.16\", expect_size=\"48029696\"] \n  40 [size=\"59181056\", alpha=\"0.07\", expect_size=\"29590528\"] \n  40 -> 45 [size =\"29590528\"]\n  41 [size=\"73019392\", alpha=\"0.19\", expect_size=\"36509696\"] \n  41 -> 45 [size =\"36509696\"]\n  42 [size=\"82110464\", alpha=\"0.15\", expect_size=\"41055232\"] \n  42 -> 44 [size =\"41055232\"]\n  42 -> 45 [size =\"41055232\"]\n  43 [size=\"23431168\", alpha=\"0.06\", expect_size=\"11715584\"] \n  43 -> 45 [size =\"11715584\"]\n  44 [size=\"87717888\", alpha=\"0.04\", expect_size=\"43858944\"] \n  45 [size=\"23392256\", alpha=\"0.15\", expect_size=\"11696128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26144768\", alpha=\"0.05\", expect_size=\"13072384\"] \n  1 -> 6 [size =\"13072384\"]\n  2 [size=\"101459968\", alpha=\"0.05\", expect_size=\"50729984\"] \n  2 -> 5 [size =\"50729984\"]\n  3 [size=\"15960064\", alpha=\"0.02\", expect_size=\"7980032\"] \n  3 -> 4 [size =\"7980032\"]\n  4 [size=\"92641280\", alpha=\"0.15\", expect_size=\"46320640\"] \n  4 -> 7 [size =\"46320640\"]\n  5 [size=\"74541056\", alpha=\"0.14\", expect_size=\"37270528\"] \n  6 [size=\"78299136\", alpha=\"0.14\", expect_size=\"39149568\"] \n  6 -> 8 [size =\"39149568\"]\n  7 [size=\"84480000\", alpha=\"0.16\", expect_size=\"42240000\"] \n  8 [size=\"63516672\", alpha=\"0.08\", expect_size=\"31758336\"] \n  8 -> 9 [size =\"31758336\"]\n  8 -> 10 [size =\"31758336\"]\n  8 -> 11 [size =\"31758336\"]\n  9 [size=\"69101568\", alpha=\"0.02\", expect_size=\"34550784\"] \n  10 [size=\"34848768\", alpha=\"0.13\", expect_size=\"17424384\"] \n  10 -> 12 [size =\"17424384\"]\n  11 [size=\"50984960\", alpha=\"0.14\", expect_size=\"25492480\"] \n  11 -> 13 [size =\"25492480\"]\n  12 [size=\"73101312\", alpha=\"0.18\", expect_size=\"36550656\"] \n  13 [size=\"98635776\", alpha=\"0.17\", expect_size=\"49317888\"] \n  13 -> 14 [size =\"49317888\"]\n  13 -> 15 [size =\"49317888\"]\n  14 [size=\"14540800\", alpha=\"0.18\", expect_size=\"7270400\"] \n  14 -> 17 [size =\"7270400\"]\n  15 [size=\"83023872\", alpha=\"0.13\", expect_size=\"41511936\"] \n  15 -> 16 [size =\"41511936\"]\n  15 -> 18 [size =\"41511936\"]\n  16 [size=\"52842496\", alpha=\"0.00\", expect_size=\"26421248\"] \n  17 [size=\"24172544\", alpha=\"0.01\", expect_size=\"12086272\"] \n  17 -> 20 [size =\"12086272\"]\n  18 [size=\"100642816\", alpha=\"0.08\", expect_size=\"50321408\"] \n  18 -> 19 [size =\"50321408\"]\n  18 -> 20 [size =\"50321408\"]\n  19 [size=\"46290944\", alpha=\"0.15\", expect_size=\"23145472\"] \n  19 -> 21 [size =\"23145472\"]\n  20 [size=\"57550848\", alpha=\"0.19\", expect_size=\"28775424\"] \n  20 -> 22 [size =\"28775424\"]\n  20 -> 23 [size =\"28775424\"]\n  21 [size=\"26015744\", alpha=\"0.06\", expect_size=\"13007872\"] \n  22 [size=\"91387904\", alpha=\"0.12\", expect_size=\"45693952\"] \n  22 -> 24 [size =\"45693952\"]\n  22 -> 25 [size =\"45693952\"]\n  23 [size=\"80023552\", alpha=\"0.00\", expect_size=\"40011776\"] \n  23 -> 24 [size =\"40011776\"]\n  23 -> 25 [size =\"40011776\"]\n  24 [size=\"65826816\", alpha=\"0.05\", expect_size=\"32913408\"] \n  24 -> 27 [size =\"32913408\"]\n  24 -> 28 [size =\"32913408\"]\n  25 [size=\"57991168\", alpha=\"0.04\", expect_size=\"28995584\"] \n  25 -> 26 [size =\"28995584\"]\n  26 [size=\"24600576\", alpha=\"0.17\", expect_size=\"12300288\"] \n  27 [size=\"26843136\", alpha=\"0.05\", expect_size=\"13421568\"] \n  27 -> 30 [size =\"13421568\"]\n  28 [size=\"33142784\", alpha=\"0.05\", expect_size=\"16571392\"] \n  28 -> 29 [size =\"16571392\"]\n  28 -> 30 [size =\"16571392\"]\n  29 [size=\"68706304\", alpha=\"0.18\", expect_size=\"34353152\"] \n  29 -> 31 [size =\"34353152\"]\n  29 -> 32 [size =\"34353152\"]\n  30 [size=\"45058048\", alpha=\"0.15\", expect_size=\"22529024\"] \n  31 [size=\"39591936\", alpha=\"0.01\", expect_size=\"19795968\"] \n  31 -> 34 [size =\"19795968\"]\n  32 [size=\"67966976\", alpha=\"0.00\", expect_size=\"33983488\"] \n  32 -> 33 [size =\"33983488\"]\n  32 -> 35 [size =\"33983488\"]\n  33 [size=\"32413696\", alpha=\"0.18\", expect_size=\"16206848\"] \n  33 -> 38 [size =\"16206848\"]\n  34 [size=\"32778240\", alpha=\"0.17\", expect_size=\"16389120\"] \n  35 [size=\"56848384\", alpha=\"0.12\", expect_size=\"28424192\"] \n  35 -> 36 [size =\"28424192\"]\n  35 -> 37 [size =\"28424192\"]\n  36 [size=\"74307584\", alpha=\"0.15\", expect_size=\"37153792\"] \n  36 -> 39 [size =\"37153792\"]\n  36 -> 40 [size =\"37153792\"]\n  37 [size=\"58599424\", alpha=\"0.01\", expect_size=\"29299712\"] \n  37 -> 40 [size =\"29299712\"]\n  38 [size=\"83720192\", alpha=\"0.06\", expect_size=\"41860096\"] \n  38 -> 41 [size =\"41860096\"]\n  39 [size=\"13955072\", alpha=\"0.19\", expect_size=\"6977536\"] \n  39 -> 43 [size =\"6977536\"]\n  39 -> 44 [size =\"6977536\"]\n  40 [size=\"96665600\", alpha=\"0.02\", expect_size=\"48332800\"] \n  41 [size=\"73099264\", alpha=\"0.08\", expect_size=\"36549632\"] \n  41 -> 42 [size =\"36549632\"]\n  42 [size=\"78127104\", alpha=\"0.11\", expect_size=\"39063552\"] \n  43 [size=\"79994880\", alpha=\"0.09\", expect_size=\"39997440\"] \n  43 -> 45 [size =\"39997440\"]\n  44 [size=\"72480768\", alpha=\"0.19\", expect_size=\"36240384\"] \n  44 -> 45 [size =\"36240384\"]\n  45 [size=\"59637760\", alpha=\"0.18\", expect_size=\"29818880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58234880\", alpha=\"0.04\", expect_size=\"23293952\"] \n  1 -> 3 [size =\"23293952\"]\n  1 -> 5 [size =\"23293952\"]\n  2 [size=\"45734400\", alpha=\"0.07\", expect_size=\"18293760\"] \n  2 -> 3 [size =\"18293760\"]\n  2 -> 4 [size =\"18293760\"]\n  3 [size=\"25208320\", alpha=\"0.10\", expect_size=\"10083328\"] \n  3 -> 6 [size =\"10083328\"]\n  3 -> 7 [size =\"10083328\"]\n  3 -> 8 [size =\"10083328\"]\n  4 [size=\"82339840\", alpha=\"0.04\", expect_size=\"32935936\"] \n  5 [size=\"37813760\", alpha=\"0.05\", expect_size=\"15125504\"] \n  5 -> 8 [size =\"15125504\"]\n  6 [size=\"97704960\", alpha=\"0.18\", expect_size=\"39081984\"] \n  6 -> 9 [size =\"39081984\"]\n  6 -> 11 [size =\"39081984\"]\n  7 [size=\"89072640\", alpha=\"0.13\", expect_size=\"35629056\"] \n  7 -> 9 [size =\"35629056\"]\n  7 -> 10 [size =\"35629056\"]\n  7 -> 11 [size =\"35629056\"]\n  8 [size=\"99566080\", alpha=\"0.11\", expect_size=\"39826432\"] \n  9 [size=\"53452800\", alpha=\"0.08\", expect_size=\"21381120\"] \n  9 -> 12 [size =\"21381120\"]\n  10 [size=\"27176960\", alpha=\"0.20\", expect_size=\"10870784\"] \n  10 -> 12 [size =\"10870784\"]\n  10 -> 14 [size =\"10870784\"]\n  11 [size=\"82211840\", alpha=\"0.18\", expect_size=\"32884736\"] \n  11 -> 13 [size =\"32884736\"]\n  12 [size=\"106449920\", alpha=\"0.07\", expect_size=\"42579968\"] \n  12 -> 16 [size =\"42579968\"]\n  13 [size=\"31851520\", alpha=\"0.02\", expect_size=\"12740608\"] \n  13 -> 15 [size =\"12740608\"]\n  14 [size=\"90007040\", alpha=\"0.18\", expect_size=\"36002816\"] \n  15 [size=\"112350720\", alpha=\"0.14\", expect_size=\"44940288\"] \n  15 -> 19 [size =\"44940288\"]\n  16 [size=\"23032320\", alpha=\"0.02\", expect_size=\"9212928\"] \n  16 -> 17 [size =\"9212928\"]\n  16 -> 18 [size =\"9212928\"]\n  17 [size=\"130895360\", alpha=\"0.12\", expect_size=\"52358144\"] \n  18 [size=\"87585280\", alpha=\"0.10\", expect_size=\"35034112\"] \n  18 -> 20 [size =\"35034112\"]\n  18 -> 21 [size =\"35034112\"]\n  19 [size=\"34990080\", alpha=\"0.02\", expect_size=\"13996032\"] \n  19 -> 20 [size =\"13996032\"]\n  19 -> 21 [size =\"13996032\"]\n  20 [size=\"81472000\", alpha=\"0.11\", expect_size=\"32588800\"] \n  20 -> 23 [size =\"32588800\"]\n  21 [size=\"81295360\", alpha=\"0.07\", expect_size=\"32518144\"] \n  21 -> 22 [size =\"32518144\"]\n  22 [size=\"67819520\", alpha=\"0.08\", expect_size=\"27127808\"] \n  22 -> 24 [size =\"27127808\"]\n  22 -> 25 [size =\"27127808\"]\n  23 [size=\"110760960\", alpha=\"0.12\", expect_size=\"44304384\"] \n  23 -> 24 [size =\"44304384\"]\n  23 -> 25 [size =\"44304384\"]\n  23 -> 26 [size =\"44304384\"]\n  24 [size=\"120138240\", alpha=\"0.07\", expect_size=\"48055296\"] \n  24 -> 29 [size =\"48055296\"]\n  25 [size=\"108523520\", alpha=\"0.06\", expect_size=\"43409408\"] \n  25 -> 27 [size =\"43409408\"]\n  25 -> 28 [size =\"43409408\"]\n  25 -> 29 [size =\"43409408\"]\n  26 [size=\"74777600\", alpha=\"0.00\", expect_size=\"29911040\"] \n  26 -> 28 [size =\"29911040\"]\n  27 [size=\"89315840\", alpha=\"0.07\", expect_size=\"35726336\"] \n  28 [size=\"41244160\", alpha=\"0.08\", expect_size=\"16497664\"] \n  28 -> 30 [size =\"16497664\"]\n  28 -> 31 [size =\"16497664\"]\n  28 -> 32 [size =\"16497664\"]\n  29 [size=\"99333120\", alpha=\"0.16\", expect_size=\"39733248\"] \n  29 -> 31 [size =\"39733248\"]\n  29 -> 32 [size =\"39733248\"]\n  30 [size=\"113610240\", alpha=\"0.07\", expect_size=\"45444096\"] \n  30 -> 35 [size =\"45444096\"]\n  31 [size=\"58836480\", alpha=\"0.09\", expect_size=\"23534592\"] \n  31 -> 33 [size =\"23534592\"]\n  31 -> 34 [size =\"23534592\"]\n  31 -> 35 [size =\"23534592\"]\n  32 [size=\"98101760\", alpha=\"0.07\", expect_size=\"39240704\"] \n  32 -> 33 [size =\"39240704\"]\n  32 -> 34 [size =\"39240704\"]\n  33 [size=\"28108800\", alpha=\"0.09\", expect_size=\"11243520\"] \n  33 -> 37 [size =\"11243520\"]\n  33 -> 38 [size =\"11243520\"]\n  34 [size=\"96885760\", alpha=\"0.03\", expect_size=\"38754304\"] \n  34 -> 37 [size =\"38754304\"]\n  35 [size=\"19770880\", alpha=\"0.14\", expect_size=\"7908352\"] \n  35 -> 36 [size =\"7908352\"]\n  36 [size=\"57402880\", alpha=\"0.07\", expect_size=\"22961152\"] \n  37 [size=\"58447360\", alpha=\"0.20\", expect_size=\"23378944\"] \n  37 -> 39 [size =\"23378944\"]\n  37 -> 40 [size =\"23378944\"]\n  37 -> 41 [size =\"23378944\"]\n  38 [size=\"98874880\", alpha=\"0.05\", expect_size=\"39549952\"] \n  38 -> 39 [size =\"39549952\"]\n  39 [size=\"29214720\", alpha=\"0.14\", expect_size=\"11685888\"] \n  39 -> 42 [size =\"11685888\"]\n  40 [size=\"125744640\", alpha=\"0.15\", expect_size=\"50297856\"] \n  41 [size=\"48640000\", alpha=\"0.07\", expect_size=\"19456000\"] \n  41 -> 42 [size =\"19456000\"]\n  41 -> 43 [size =\"19456000\"]\n  41 -> 44 [size =\"19456000\"]\n  42 [size=\"102932480\", alpha=\"0.09\", expect_size=\"41172992\"] \n  42 -> 45 [size =\"41172992\"]\n  43 [size=\"28080640\", alpha=\"0.07\", expect_size=\"11232256\"] \n  43 -> 45 [size =\"11232256\"]\n  44 [size=\"78753280\", alpha=\"0.03\", expect_size=\"31501312\"] \n  45 [size=\"95920640\", alpha=\"0.16\", expect_size=\"38368256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95771307\", alpha=\"0.13\", expect_size=\"28731392\"] \n  1 -> 11 [size =\"28731392\"]\n  2 [size=\"49636693\", alpha=\"0.08\", expect_size=\"14891008\"] \n  2 -> 9 [size =\"14891008\"]\n  3 [size=\"33351680\", alpha=\"0.15\", expect_size=\"10005504\"] \n  3 -> 8 [size =\"10005504\"]\n  3 -> 9 [size =\"10005504\"]\n  3 -> 10 [size =\"10005504\"]\n  4 [size=\"131556693\", alpha=\"0.04\", expect_size=\"39467008\"] \n  4 -> 9 [size =\"39467008\"]\n  4 -> 11 [size =\"39467008\"]\n  5 [size=\"99403093\", alpha=\"0.00\", expect_size=\"29820928\"] \n  5 -> 7 [size =\"29820928\"]\n  5 -> 9 [size =\"29820928\"]\n  5 -> 10 [size =\"29820928\"]\n  5 -> 11 [size =\"29820928\"]\n  6 [size=\"135758507\", alpha=\"0.18\", expect_size=\"40727552\"] \n  6 -> 11 [size =\"40727552\"]\n  7 [size=\"87453013\", alpha=\"0.09\", expect_size=\"26235904\"] \n  7 -> 12 [size =\"26235904\"]\n  7 -> 13 [size =\"26235904\"]\n  7 -> 14 [size =\"26235904\"]\n  7 -> 16 [size =\"26235904\"]\n  8 [size=\"171308373\", alpha=\"0.01\", expect_size=\"51392512\"] \n  8 -> 17 [size =\"51392512\"]\n  9 [size=\"30853120\", alpha=\"0.09\", expect_size=\"9255936\"] \n  9 -> 15 [size =\"9255936\"]\n  9 -> 17 [size =\"9255936\"]\n  10 [size=\"149220693\", alpha=\"0.02\", expect_size=\"44766208\"] \n  10 -> 13 [size =\"44766208\"]\n  10 -> 15 [size =\"44766208\"]\n  11 [size=\"38307840\", alpha=\"0.14\", expect_size=\"11492352\"] \n  11 -> 12 [size =\"11492352\"]\n  11 -> 14 [size =\"11492352\"]\n  11 -> 15 [size =\"11492352\"]\n  12 [size=\"140943360\", alpha=\"0.17\", expect_size=\"42283008\"] \n  12 -> 19 [size =\"42283008\"]\n  13 [size=\"47141547\", alpha=\"0.10\", expect_size=\"14142464\"] \n  13 -> 18 [size =\"14142464\"]\n  13 -> 19 [size =\"14142464\"]\n  13 -> 22 [size =\"14142464\"]\n  14 [size=\"168980480\", alpha=\"0.19\", expect_size=\"50694144\"] \n  14 -> 22 [size =\"50694144\"]\n  15 [size=\"39437653\", alpha=\"0.02\", expect_size=\"11831296\"] \n  15 -> 18 [size =\"11831296\"]\n  15 -> 22 [size =\"11831296\"]\n  16 [size=\"39560533\", alpha=\"0.12\", expect_size=\"11868160\"] \n  16 -> 18 [size =\"11868160\"]\n  16 -> 19 [size =\"11868160\"]\n  16 -> 20 [size =\"11868160\"]\n  17 [size=\"22330027\", alpha=\"0.15\", expect_size=\"6699008\"] \n  17 -> 18 [size =\"6699008\"]\n  17 -> 19 [size =\"6699008\"]\n  17 -> 21 [size =\"6699008\"]\n  18 [size=\"91723093\", alpha=\"0.08\", expect_size=\"27516928\"] \n  18 -> 23 [size =\"27516928\"]\n  18 -> 24 [size =\"27516928\"]\n  18 -> 26 [size =\"27516928\"]\n  18 -> 28 [size =\"27516928\"]\n  19 [size=\"97525760\", alpha=\"0.15\", expect_size=\"29257728\"] \n  19 -> 23 [size =\"29257728\"]\n  19 -> 27 [size =\"29257728\"]\n  20 [size=\"170813440\", alpha=\"0.02\", expect_size=\"51244032\"] \n  20 -> 25 [size =\"51244032\"]\n  20 -> 27 [size =\"51244032\"]\n  21 [size=\"25402027\", alpha=\"0.19\", expect_size=\"7620608\"] \n  21 -> 24 [size =\"7620608\"]\n  21 -> 28 [size =\"7620608\"]\n  22 [size=\"132543147\", alpha=\"0.20\", expect_size=\"39762944\"] \n  22 -> 23 [size =\"39762944\"]\n  22 -> 26 [size =\"39762944\"]\n  22 -> 27 [size =\"39762944\"]\n  22 -> 28 [size =\"39762944\"]\n  23 [size=\"108711253\", alpha=\"0.02\", expect_size=\"32613376\"] \n  23 -> 29 [size =\"32613376\"]\n  23 -> 30 [size =\"32613376\"]\n  23 -> 31 [size =\"32613376\"]\n  23 -> 32 [size =\"32613376\"]\n  23 -> 33 [size =\"32613376\"]\n  24 [size=\"31054507\", alpha=\"0.20\", expect_size=\"9316352\"] \n  24 -> 29 [size =\"9316352\"]\n  24 -> 30 [size =\"9316352\"]\n  24 -> 31 [size =\"9316352\"]\n  25 [size=\"22234453\", alpha=\"0.07\", expect_size=\"6670336\"] \n  25 -> 29 [size =\"6670336\"]\n  25 -> 31 [size =\"6670336\"]\n  25 -> 34 [size =\"6670336\"]\n  26 [size=\"41608533\", alpha=\"0.10\", expect_size=\"12482560\"] \n  26 -> 30 [size =\"12482560\"]\n  26 -> 31 [size =\"12482560\"]\n  26 -> 32 [size =\"12482560\"]\n  26 -> 33 [size =\"12482560\"]\n  26 -> 34 [size =\"12482560\"]\n  27 [size=\"135536640\", alpha=\"0.02\", expect_size=\"40660992\"] \n  27 -> 31 [size =\"40660992\"]\n  28 [size=\"95658667\", alpha=\"0.13\", expect_size=\"28697600\"] \n  28 -> 29 [size =\"28697600\"]\n  28 -> 30 [size =\"28697600\"]\n  28 -> 33 [size =\"28697600\"]\n  29 [size=\"156187307\", alpha=\"0.06\", expect_size=\"46856192\"] \n  29 -> 35 [size =\"46856192\"]\n  29 -> 37 [size =\"46856192\"]\n  29 -> 38 [size =\"46856192\"]\n  29 -> 39 [size =\"46856192\"]\n  30 [size=\"120347307\", alpha=\"0.15\", expect_size=\"36104192\"] \n  31 [size=\"137086293\", alpha=\"0.07\", expect_size=\"41125888\"] \n  31 -> 36 [size =\"41125888\"]\n  31 -> 39 [size =\"41125888\"]\n  32 [size=\"127412907\", alpha=\"0.15\", expect_size=\"38223872\"] \n  32 -> 35 [size =\"38223872\"]\n  32 -> 36 [size =\"38223872\"]\n  32 -> 39 [size =\"38223872\"]\n  32 -> 40 [size =\"38223872\"]\n  33 [size=\"123490987\", alpha=\"0.07\", expect_size=\"37047296\"] \n  33 -> 38 [size =\"37047296\"]\n  33 -> 39 [size =\"37047296\"]\n  34 [size=\"141199360\", alpha=\"0.18\", expect_size=\"42359808\"] \n  34 -> 36 [size =\"42359808\"]\n  34 -> 38 [size =\"42359808\"]\n  35 [size=\"137332053\", alpha=\"0.12\", expect_size=\"41199616\"] \n  36 [size=\"36532907\", alpha=\"0.09\", expect_size=\"10959872\"] \n  36 -> 41 [size =\"10959872\"]\n  36 -> 42 [size =\"10959872\"]\n  36 -> 44 [size =\"10959872\"]\n  36 -> 45 [size =\"10959872\"]\n  37 [size=\"114373973\", alpha=\"0.06\", expect_size=\"34312192\"] \n  37 -> 41 [size =\"34312192\"]\n  37 -> 42 [size =\"34312192\"]\n  38 [size=\"126255787\", alpha=\"0.13\", expect_size=\"37876736\"] \n  38 -> 41 [size =\"37876736\"]\n  38 -> 42 [size =\"37876736\"]\n  38 -> 43 [size =\"37876736\"]\n  38 -> 45 [size =\"37876736\"]\n  39 [size=\"68727467\", alpha=\"0.09\", expect_size=\"20618240\"] \n  39 -> 41 [size =\"20618240\"]\n  39 -> 43 [size =\"20618240\"]\n  39 -> 45 [size =\"20618240\"]\n  40 [size=\"112455680\", alpha=\"0.06\", expect_size=\"33736704\"] \n  40 -> 41 [size =\"33736704\"]\n  41 [size=\"74615467\", alpha=\"0.03\", expect_size=\"22384640\"] \n  42 [size=\"133324800\", alpha=\"0.15\", expect_size=\"39997440\"] \n  43 [size=\"97477973\", alpha=\"0.19\", expect_size=\"29243392\"] \n  44 [size=\"154030080\", alpha=\"0.04\", expect_size=\"46209024\"] \n  45 [size=\"139915947\", alpha=\"0.10\", expect_size=\"41974784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31184896\", alpha=\"0.20\", expect_size=\"15592448\"] \n  1 -> 14 [size =\"15592448\"]\n  1 -> 16 [size =\"15592448\"]\n  1 -> 18 [size =\"15592448\"]\n  1 -> 19 [size =\"15592448\"]\n  1 -> 20 [size =\"15592448\"]\n  1 -> 21 [size =\"15592448\"]\n  1 -> 23 [size =\"15592448\"]\n  1 -> 24 [size =\"15592448\"]\n  1 -> 25 [size =\"15592448\"]\n  1 -> 27 [size =\"15592448\"]\n  2 [size=\"71686144\", alpha=\"0.06\", expect_size=\"35843072\"] \n  2 -> 16 [size =\"35843072\"]\n  2 -> 19 [size =\"35843072\"]\n  2 -> 20 [size =\"35843072\"]\n  2 -> 21 [size =\"35843072\"]\n  2 -> 22 [size =\"35843072\"]\n  2 -> 23 [size =\"35843072\"]\n  2 -> 23 [size =\"35843072\"]\n  2 -> 24 [size =\"35843072\"]\n  2 -> 27 [size =\"35843072\"]\n  3 [size=\"31295488\", alpha=\"0.17\", expect_size=\"15647744\"] \n  3 -> 18 [size =\"15647744\"]\n  3 -> 24 [size =\"15647744\"]\n  3 -> 25 [size =\"15647744\"]\n  3 -> 27 [size =\"15647744\"]\n  4 [size=\"86796288\", alpha=\"0.07\", expect_size=\"43398144\"] \n  4 -> 14 [size =\"43398144\"]\n  4 -> 27 [size =\"43398144\"]\n  4 -> 28 [size =\"43398144\"]\n  5 [size=\"30926848\", alpha=\"0.19\", expect_size=\"15463424\"] \n  5 -> 14 [size =\"15463424\"]\n  5 -> 15 [size =\"15463424\"]\n  5 -> 19 [size =\"15463424\"]\n  5 -> 20 [size =\"15463424\"]\n  5 -> 22 [size =\"15463424\"]\n  5 -> 27 [size =\"15463424\"]\n  5 -> 28 [size =\"15463424\"]\n  6 [size=\"53737472\", alpha=\"0.02\", expect_size=\"26868736\"] \n  6 -> 21 [size =\"26868736\"]\n  6 -> 22 [size =\"26868736\"]\n  6 -> 28 [size =\"26868736\"]\n  7 [size=\"20699136\", alpha=\"0.06\", expect_size=\"10349568\"] \n  7 -> 14 [size =\"10349568\"]\n  7 -> 18 [size =\"10349568\"]\n  7 -> 20 [size =\"10349568\"]\n  7 -> 22 [size =\"10349568\"]\n  7 -> 23 [size =\"10349568\"]\n  7 -> 26 [size =\"10349568\"]\n  7 -> 27 [size =\"10349568\"]\n  7 -> 28 [size =\"10349568\"]\n  8 [size=\"30035968\", alpha=\"0.14\", expect_size=\"15017984\"] \n  8 -> 16 [size =\"15017984\"]\n  8 -> 22 [size =\"15017984\"]\n  8 -> 23 [size =\"15017984\"]\n  8 -> 24 [size =\"15017984\"]\n  8 -> 25 [size =\"15017984\"]\n  8 -> 28 [size =\"15017984\"]\n  9 [size=\"25628672\", alpha=\"0.11\", expect_size=\"12814336\"] \n  9 -> 15 [size =\"12814336\"]\n  9 -> 16 [size =\"12814336\"]\n  9 -> 21 [size =\"12814336\"]\n  9 -> 28 [size =\"12814336\"]\n  10 [size=\"68919296\", alpha=\"0.14\", expect_size=\"34459648\"] \n  10 -> 14 [size =\"34459648\"]\n  10 -> 16 [size =\"34459648\"]\n  10 -> 21 [size =\"34459648\"]\n  10 -> 22 [size =\"34459648\"]\n  10 -> 28 [size =\"34459648\"]\n  11 [size=\"67520512\", alpha=\"0.08\", expect_size=\"33760256\"] \n  11 -> 15 [size =\"33760256\"]\n  11 -> 17 [size =\"33760256\"]\n  11 -> 18 [size =\"33760256\"]\n  11 -> 21 [size =\"33760256\"]\n  11 -> 27 [size =\"33760256\"]\n  11 -> 28 [size =\"33760256\"]\n  12 [size=\"66779136\", alpha=\"0.17\", expect_size=\"33389568\"] \n  12 -> 14 [size =\"33389568\"]\n  12 -> 16 [size =\"33389568\"]\n  12 -> 17 [size =\"33389568\"]\n  12 -> 18 [size =\"33389568\"]\n  12 -> 20 [size =\"33389568\"]\n  12 -> 21 [size =\"33389568\"]\n  12 -> 22 [size =\"33389568\"]\n  13 [size=\"92872704\", alpha=\"0.07\", expect_size=\"46436352\"] \n  13 -> 16 [size =\"46436352\"]\n  13 -> 20 [size =\"46436352\"]\n  13 -> 26 [size =\"46436352\"]\n  14 [size=\"80609280\", alpha=\"0.17\", expect_size=\"40304640\"] \n  14 -> 30 [size =\"40304640\"]\n  14 -> 40 [size =\"40304640\"]\n  15 [size=\"16986112\", alpha=\"0.14\", expect_size=\"8493056\"] \n  15 -> 31 [size =\"8493056\"]\n  15 -> 39 [size =\"8493056\"]\n  15 -> 40 [size =\"8493056\"]\n  16 [size=\"14442496\", alpha=\"0.16\", expect_size=\"7221248\"] \n  16 -> 36 [size =\"7221248\"]\n  16 -> 38 [size =\"7221248\"]\n  17 [size=\"23984128\", alpha=\"0.20\", expect_size=\"11992064\"] \n  17 -> 30 [size =\"11992064\"]\n  17 -> 33 [size =\"11992064\"]\n  17 -> 38 [size =\"11992064\"]\n  17 -> 40 [size =\"11992064\"]\n  18 [size=\"51988480\", alpha=\"0.12\", expect_size=\"25994240\"] \n  18 -> 33 [size =\"25994240\"]\n  18 -> 37 [size =\"25994240\"]\n  19 [size=\"23363584\", alpha=\"0.01\", expect_size=\"11681792\"] \n  19 -> 33 [size =\"11681792\"]\n  19 -> 38 [size =\"11681792\"]\n  19 -> 39 [size =\"11681792\"]\n  20 [size=\"74960896\", alpha=\"0.09\", expect_size=\"37480448\"] \n  20 -> 30 [size =\"37480448\"]\n  20 -> 37 [size =\"37480448\"]\n  20 -> 38 [size =\"37480448\"]\n  20 -> 39 [size =\"37480448\"]\n  20 -> 41 [size =\"37480448\"]\n  21 [size=\"47847424\", alpha=\"0.01\", expect_size=\"23923712\"] \n  22 [size=\"87607296\", alpha=\"0.06\", expect_size=\"43803648\"] \n  22 -> 34 [size =\"43803648\"]\n  22 -> 38 [size =\"43803648\"]\n  23 [size=\"74121216\", alpha=\"0.15\", expect_size=\"37060608\"] \n  23 -> 30 [size =\"37060608\"]\n  23 -> 41 [size =\"37060608\"]\n  24 [size=\"12746752\", alpha=\"0.00\", expect_size=\"6373376\"] \n  24 -> 30 [size =\"6373376\"]\n  24 -> 31 [size =\"6373376\"]\n  24 -> 35 [size =\"6373376\"]\n  24 -> 36 [size =\"6373376\"]\n  24 -> 39 [size =\"6373376\"]\n  25 [size=\"95309824\", alpha=\"0.10\", expect_size=\"47654912\"] \n  25 -> 31 [size =\"47654912\"]\n  25 -> 36 [size =\"47654912\"]\n  25 -> 41 [size =\"47654912\"]\n  26 [size=\"67381248\", alpha=\"0.09\", expect_size=\"33690624\"] \n  26 -> 31 [size =\"33690624\"]\n  26 -> 32 [size =\"33690624\"]\n  26 -> 33 [size =\"33690624\"]\n  26 -> 38 [size =\"33690624\"]\n  27 [size=\"47704064\", alpha=\"0.10\", expect_size=\"23852032\"] \n  27 -> 32 [size =\"23852032\"]\n  27 -> 32 [size =\"23852032\"]\n  27 -> 33 [size =\"23852032\"]\n  27 -> 38 [size =\"23852032\"]\n  27 -> 40 [size =\"23852032\"]\n  27 -> 41 [size =\"23852032\"]\n  28 [size=\"47472640\", alpha=\"0.15\", expect_size=\"23736320\"] \n  28 -> 29 [size =\"23736320\"]\n  28 -> 30 [size =\"23736320\"]\n  28 -> 36 [size =\"23736320\"]\n  28 -> 41 [size =\"23736320\"]\n  29 [size=\"104337408\", alpha=\"0.04\", expect_size=\"52168704\"] \n  29 -> 43 [size =\"52168704\"]\n  30 [size=\"16535552\", alpha=\"0.05\", expect_size=\"8267776\"] \n  31 [size=\"58408960\", alpha=\"0.17\", expect_size=\"29204480\"] \n  31 -> 45 [size =\"29204480\"]\n  32 [size=\"61919232\", alpha=\"0.02\", expect_size=\"30959616\"] \n  33 [size=\"88268800\", alpha=\"0.05\", expect_size=\"44134400\"] \n  33 -> 44 [size =\"44134400\"]\n  33 -> 45 [size =\"44134400\"]\n  34 [size=\"63893504\", alpha=\"0.02\", expect_size=\"31946752\"] \n  35 [size=\"65107968\", alpha=\"0.00\", expect_size=\"32553984\"] \n  35 -> 42 [size =\"32553984\"]\n  35 -> 43 [size =\"32553984\"]\n  36 [size=\"17979392\", alpha=\"0.20\", expect_size=\"8989696\"] \n  37 [size=\"60135424\", alpha=\"0.02\", expect_size=\"30067712\"] \n  37 -> 45 [size =\"30067712\"]\n  38 [size=\"13045760\", alpha=\"0.13\", expect_size=\"6522880\"] \n  38 -> 43 [size =\"6522880\"]\n  38 -> 45 [size =\"6522880\"]\n  39 [size=\"85008384\", alpha=\"0.07\", expect_size=\"42504192\"] \n  39 -> 45 [size =\"42504192\"]\n  40 [size=\"102420480\", alpha=\"0.14\", expect_size=\"51210240\"] \n  40 -> 44 [size =\"51210240\"]\n  41 [size=\"29345792\", alpha=\"0.09\", expect_size=\"14672896\"] \n  41 -> 43 [size =\"14672896\"]\n  42 [size=\"17195008\", alpha=\"0.01\", expect_size=\"8597504\"] \n  43 [size=\"27887616\", alpha=\"0.06\", expect_size=\"13943808\"] \n  44 [size=\"49438720\", alpha=\"0.12\", expect_size=\"24719360\"] \n  45 [size=\"57602048\", alpha=\"0.16\", expect_size=\"28801024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35855360\", alpha=\"0.18\", expect_size=\"14342144\"] \n  1 -> 20 [size =\"14342144\"]\n  1 -> 23 [size =\"14342144\"]\n  1 -> 23 [size =\"14342144\"]\n  1 -> 26 [size =\"14342144\"]\n  1 -> 27 [size =\"14342144\"]\n  2 [size=\"14323200\", alpha=\"0.09\", expect_size=\"5729280\"] \n  2 -> 17 [size =\"5729280\"]\n  2 -> 18 [size =\"5729280\"]\n  2 -> 22 [size =\"5729280\"]\n  2 -> 23 [size =\"5729280\"]\n  2 -> 26 [size =\"5729280\"]\n  2 -> 27 [size =\"5729280\"]\n  3 [size=\"48294400\", alpha=\"0.02\", expect_size=\"19317760\"] \n  3 -> 18 [size =\"19317760\"]\n  3 -> 23 [size =\"19317760\"]\n  3 -> 24 [size =\"19317760\"]\n  3 -> 26 [size =\"19317760\"]\n  3 -> 27 [size =\"19317760\"]\n  4 [size=\"39697920\", alpha=\"0.00\", expect_size=\"15879168\"] \n  4 -> 17 [size =\"15879168\"]\n  4 -> 19 [size =\"15879168\"]\n  4 -> 20 [size =\"15879168\"]\n  4 -> 25 [size =\"15879168\"]\n  4 -> 26 [size =\"15879168\"]\n  5 [size=\"92474880\", alpha=\"0.00\", expect_size=\"36989952\"] \n  5 -> 17 [size =\"36989952\"]\n  5 -> 19 [size =\"36989952\"]\n  5 -> 20 [size =\"36989952\"]\n  5 -> 27 [size =\"36989952\"]\n  6 [size=\"43466240\", alpha=\"0.01\", expect_size=\"17386496\"] \n  6 -> 17 [size =\"17386496\"]\n  6 -> 19 [size =\"17386496\"]\n  6 -> 20 [size =\"17386496\"]\n  6 -> 22 [size =\"17386496\"]\n  6 -> 24 [size =\"17386496\"]\n  6 -> 25 [size =\"17386496\"]\n  7 [size=\"40975360\", alpha=\"0.03\", expect_size=\"16390144\"] \n  7 -> 17 [size =\"16390144\"]\n  7 -> 19 [size =\"16390144\"]\n  7 -> 20 [size =\"16390144\"]\n  7 -> 24 [size =\"16390144\"]\n  7 -> 26 [size =\"16390144\"]\n  8 [size=\"77811200\", alpha=\"0.15\", expect_size=\"31124480\"] \n  8 -> 17 [size =\"31124480\"]\n  8 -> 20 [size =\"31124480\"]\n  8 -> 20 [size =\"31124480\"]\n  8 -> 24 [size =\"31124480\"]\n  8 -> 25 [size =\"31124480\"]\n  9 [size=\"61376000\", alpha=\"0.20\", expect_size=\"24550400\"] \n  9 -> 17 [size =\"24550400\"]\n  9 -> 22 [size =\"24550400\"]\n  9 -> 24 [size =\"24550400\"]\n  10 [size=\"41024000\", alpha=\"0.01\", expect_size=\"16409600\"] \n  10 -> 17 [size =\"16409600\"]\n  10 -> 18 [size =\"16409600\"]\n  10 -> 20 [size =\"16409600\"]\n  10 -> 23 [size =\"16409600\"]\n  10 -> 24 [size =\"16409600\"]\n  10 -> 27 [size =\"16409600\"]\n  11 [size=\"46694400\", alpha=\"0.01\", expect_size=\"18677760\"] \n  11 -> 19 [size =\"18677760\"]\n  11 -> 20 [size =\"18677760\"]\n  11 -> 25 [size =\"18677760\"]\n  11 -> 26 [size =\"18677760\"]\n  12 [size=\"32857600\", alpha=\"0.19\", expect_size=\"13143040\"] \n  12 -> 18 [size =\"13143040\"]\n  12 -> 23 [size =\"13143040\"]\n  12 -> 25 [size =\"13143040\"]\n  12 -> 27 [size =\"13143040\"]\n  13 [size=\"86737920\", alpha=\"0.04\", expect_size=\"34695168\"] \n  13 -> 17 [size =\"34695168\"]\n  13 -> 18 [size =\"34695168\"]\n  13 -> 19 [size =\"34695168\"]\n  13 -> 23 [size =\"34695168\"]\n  13 -> 27 [size =\"34695168\"]\n  14 [size=\"96634880\", alpha=\"0.14\", expect_size=\"38653952\"] \n  14 -> 18 [size =\"38653952\"]\n  14 -> 19 [size =\"38653952\"]\n  14 -> 23 [size =\"38653952\"]\n  14 -> 23 [size =\"38653952\"]\n  14 -> 27 [size =\"38653952\"]\n  15 [size=\"97454080\", alpha=\"0.03\", expect_size=\"38981632\"] \n  15 -> 17 [size =\"38981632\"]\n  15 -> 19 [size =\"38981632\"]\n  15 -> 20 [size =\"38981632\"]\n  15 -> 21 [size =\"38981632\"]\n  15 -> 24 [size =\"38981632\"]\n  15 -> 26 [size =\"38981632\"]\n  15 -> 27 [size =\"38981632\"]\n  16 [size=\"100267520\", alpha=\"0.06\", expect_size=\"40107008\"] \n  16 -> 18 [size =\"40107008\"]\n  16 -> 20 [size =\"40107008\"]\n  16 -> 23 [size =\"40107008\"]\n  16 -> 26 [size =\"40107008\"]\n  16 -> 27 [size =\"40107008\"]\n  17 [size=\"105111040\", alpha=\"0.09\", expect_size=\"42044416\"] \n  17 -> 28 [size =\"42044416\"]\n  17 -> 30 [size =\"42044416\"]\n  17 -> 34 [size =\"42044416\"]\n  17 -> 35 [size =\"42044416\"]\n  17 -> 37 [size =\"42044416\"]\n  18 [size=\"121722880\", alpha=\"0.05\", expect_size=\"48689152\"] \n  18 -> 28 [size =\"48689152\"]\n  18 -> 31 [size =\"48689152\"]\n  18 -> 35 [size =\"48689152\"]\n  18 -> 37 [size =\"48689152\"]\n  18 -> 37 [size =\"48689152\"]\n  19 [size=\"94492160\", alpha=\"0.15\", expect_size=\"37796864\"] \n  19 -> 31 [size =\"37796864\"]\n  19 -> 33 [size =\"37796864\"]\n  20 [size=\"92689920\", alpha=\"0.09\", expect_size=\"37075968\"] \n  20 -> 31 [size =\"37075968\"]\n  21 [size=\"101299200\", alpha=\"0.07\", expect_size=\"40519680\"] \n  21 -> 28 [size =\"40519680\"]\n  21 -> 31 [size =\"40519680\"]\n  21 -> 33 [size =\"40519680\"]\n  22 [size=\"107143680\", alpha=\"0.05\", expect_size=\"42857472\"] \n  22 -> 31 [size =\"42857472\"]\n  22 -> 36 [size =\"42857472\"]\n  23 [size=\"98979840\", alpha=\"0.08\", expect_size=\"39591936\"] \n  23 -> 29 [size =\"39591936\"]\n  23 -> 30 [size =\"39591936\"]\n  23 -> 32 [size =\"39591936\"]\n  23 -> 34 [size =\"39591936\"]\n  23 -> 35 [size =\"39591936\"]\n  23 -> 37 [size =\"39591936\"]\n  24 [size=\"124971520\", alpha=\"0.17\", expect_size=\"49988608\"] \n  24 -> 31 [size =\"49988608\"]\n  24 -> 34 [size =\"49988608\"]\n  24 -> 37 [size =\"49988608\"]\n  25 [size=\"87285760\", alpha=\"0.19\", expect_size=\"34914304\"] \n  25 -> 30 [size =\"34914304\"]\n  25 -> 37 [size =\"34914304\"]\n  26 [size=\"102192640\", alpha=\"0.06\", expect_size=\"40877056\"] \n  26 -> 29 [size =\"40877056\"]\n  26 -> 30 [size =\"40877056\"]\n  26 -> 33 [size =\"40877056\"]\n  26 -> 35 [size =\"40877056\"]\n  26 -> 37 [size =\"40877056\"]\n  27 [size=\"19102720\", alpha=\"0.18\", expect_size=\"7641088\"] \n  27 -> 28 [size =\"7641088\"]\n  27 -> 33 [size =\"7641088\"]\n  27 -> 33 [size =\"7641088\"]\n  27 -> 34 [size =\"7641088\"]\n  27 -> 37 [size =\"7641088\"]\n  28 [size=\"75043840\", alpha=\"0.00\", expect_size=\"30017536\"] \n  28 -> 38 [size =\"30017536\"]\n  28 -> 39 [size =\"30017536\"]\n  28 -> 42 [size =\"30017536\"]\n  28 -> 44 [size =\"30017536\"]\n  29 [size=\"105899520\", alpha=\"0.11\", expect_size=\"42359808\"] \n  29 -> 42 [size =\"42359808\"]\n  30 [size=\"75742720\", alpha=\"0.07\", expect_size=\"30297088\"] \n  30 -> 39 [size =\"30297088\"]\n  30 -> 40 [size =\"30297088\"]\n  30 -> 41 [size =\"30297088\"]\n  30 -> 42 [size =\"30297088\"]\n  31 [size=\"127623680\", alpha=\"0.08\", expect_size=\"51049472\"] \n  31 -> 41 [size =\"51049472\"]\n  31 -> 45 [size =\"51049472\"]\n  32 [size=\"48366080\", alpha=\"0.13\", expect_size=\"19346432\"] \n  33 [size=\"75112960\", alpha=\"0.10\", expect_size=\"30045184\"] \n  33 -> 38 [size =\"30045184\"]\n  33 -> 39 [size =\"30045184\"]\n  33 -> 42 [size =\"30045184\"]\n  33 -> 43 [size =\"30045184\"]\n  33 -> 44 [size =\"30045184\"]\n  34 [size=\"125094400\", alpha=\"0.02\", expect_size=\"50037760\"] \n  34 -> 39 [size =\"50037760\"]\n  34 -> 39 [size =\"50037760\"]\n  34 -> 42 [size =\"50037760\"]\n  35 [size=\"106931200\", alpha=\"0.07\", expect_size=\"42772480\"] \n  35 -> 40 [size =\"42772480\"]\n  35 -> 43 [size =\"42772480\"]\n  35 -> 44 [size =\"42772480\"]\n  36 [size=\"99996160\", alpha=\"0.08\", expect_size=\"39998464\"] \n  36 -> 39 [size =\"39998464\"]\n  36 -> 40 [size =\"39998464\"]\n  36 -> 42 [size =\"39998464\"]\n  36 -> 43 [size =\"39998464\"]\n  37 [size=\"16680960\", alpha=\"0.04\", expect_size=\"6672384\"] \n  37 -> 39 [size =\"6672384\"]\n  37 -> 40 [size =\"6672384\"]\n  37 -> 42 [size =\"6672384\"]\n  37 -> 43 [size =\"6672384\"]\n  38 [size=\"120791040\", alpha=\"0.18\", expect_size=\"48316416\"] \n  39 [size=\"123133440\", alpha=\"0.06\", expect_size=\"49253376\"] \n  40 [size=\"71976960\", alpha=\"0.08\", expect_size=\"28790784\"] \n  41 [size=\"113208320\", alpha=\"0.05\", expect_size=\"45283328\"] \n  42 [size=\"44487680\", alpha=\"0.17\", expect_size=\"17795072\"] \n  43 [size=\"121495040\", alpha=\"0.05\", expect_size=\"48598016\"] \n  44 [size=\"63969280\", alpha=\"0.11\", expect_size=\"25587712\"] \n  45 [size=\"73402880\", alpha=\"0.10\", expect_size=\"29361152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60984320\", alpha=\"0.16\", expect_size=\"24393728\"] \n  2 [size=\"107924480\", alpha=\"0.06\", expect_size=\"43169792\"] \n  3 [size=\"38740480\", alpha=\"0.07\", expect_size=\"15496192\"] \n  4 [size=\"103352320\", alpha=\"0.11\", expect_size=\"41340928\"] \n  5 [size=\"121064960\", alpha=\"0.15\", expect_size=\"48425984\"] \n  6 [size=\"76600320\", alpha=\"0.15\", expect_size=\"30640128\"] \n  7 [size=\"85301760\", alpha=\"0.09\", expect_size=\"34120704\"] \n  7 -> 45 [size =\"34120704\"]\n  8 [size=\"62169600\", alpha=\"0.09\", expect_size=\"24867840\"] \n  8 -> 45 [size =\"24867840\"]\n  9 [size=\"20062720\", alpha=\"0.19\", expect_size=\"8025088\"] \n  9 -> 45 [size =\"8025088\"]\n  10 [size=\"117104640\", alpha=\"0.19\", expect_size=\"46841856\"] \n  10 -> 45 [size =\"46841856\"]\n  11 [size=\"81041920\", alpha=\"0.18\", expect_size=\"32416768\"] \n  12 [size=\"57520640\", alpha=\"0.19\", expect_size=\"23008256\"] \n  13 [size=\"91077120\", alpha=\"0.09\", expect_size=\"36430848\"] \n  14 [size=\"15531520\", alpha=\"0.08\", expect_size=\"6212608\"] \n  15 [size=\"79352320\", alpha=\"0.04\", expect_size=\"31740928\"] \n  16 [size=\"51973120\", alpha=\"0.07\", expect_size=\"20789248\"] \n  17 [size=\"20638720\", alpha=\"0.15\", expect_size=\"8255488\"] \n  18 [size=\"74854400\", alpha=\"0.05\", expect_size=\"29941760\"] \n  19 [size=\"125726720\", alpha=\"0.14\", expect_size=\"50290688\"] \n  20 [size=\"122378240\", alpha=\"0.18\", expect_size=\"48951296\"] \n  20 -> 45 [size =\"48951296\"]\n  21 [size=\"116418560\", alpha=\"0.10\", expect_size=\"46567424\"] \n  22 [size=\"106775040\", alpha=\"0.18\", expect_size=\"42710016\"] \n  22 -> 45 [size =\"42710016\"]\n  23 [size=\"102883840\", alpha=\"0.10\", expect_size=\"41153536\"] \n  24 [size=\"35845120\", alpha=\"0.17\", expect_size=\"14338048\"] \n  25 [size=\"85790720\", alpha=\"0.03\", expect_size=\"34316288\"] \n  25 -> 45 [size =\"34316288\"]\n  26 [size=\"107993600\", alpha=\"0.20\", expect_size=\"43197440\"] \n  27 [size=\"33894400\", alpha=\"0.09\", expect_size=\"13557760\"] \n  27 -> 45 [size =\"13557760\"]\n  28 [size=\"121121280\", alpha=\"0.06\", expect_size=\"48448512\"] \n  28 -> 45 [size =\"48448512\"]\n  29 [size=\"33794560\", alpha=\"0.04\", expect_size=\"13517824\"] \n  30 [size=\"116940800\", alpha=\"0.00\", expect_size=\"46776320\"] \n  30 -> 45 [size =\"46776320\"]\n  31 [size=\"103966720\", alpha=\"0.08\", expect_size=\"41586688\"] \n  32 [size=\"42746880\", alpha=\"0.03\", expect_size=\"17098752\"] \n  33 [size=\"28103680\", alpha=\"0.11\", expect_size=\"11241472\"] \n  33 -> 45 [size =\"11241472\"]\n  34 [size=\"85670400\", alpha=\"0.20\", expect_size=\"34268160\"] \n  35 [size=\"69767680\", alpha=\"0.19\", expect_size=\"27907072\"] \n  35 -> 45 [size =\"27907072\"]\n  36 [size=\"88348160\", alpha=\"0.06\", expect_size=\"35339264\"] \n  36 -> 45 [size =\"35339264\"]\n  37 [size=\"86947840\", alpha=\"0.14\", expect_size=\"34779136\"] \n  37 -> 45 [size =\"34779136\"]\n  38 [size=\"19791360\", alpha=\"0.12\", expect_size=\"7916544\"] \n  38 -> 45 [size =\"7916544\"]\n  39 [size=\"53908480\", alpha=\"0.09\", expect_size=\"21563392\"] \n  39 -> 45 [size =\"21563392\"]\n  40 [size=\"78295040\", alpha=\"0.05\", expect_size=\"31318016\"] \n  40 -> 45 [size =\"31318016\"]\n  41 [size=\"78978560\", alpha=\"0.18\", expect_size=\"31591424\"] \n  41 -> 45 [size =\"31591424\"]\n  42 [size=\"123898880\", alpha=\"0.08\", expect_size=\"49559552\"] \n  42 -> 45 [size =\"49559552\"]\n  43 [size=\"21537280\", alpha=\"0.12\", expect_size=\"8614912\"] \n  43 -> 45 [size =\"8614912\"]\n  44 [size=\"85798400\", alpha=\"0.00\", expect_size=\"34319360\"] \n  45 [size=\"83176960\", alpha=\"0.01\", expect_size=\"33270784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86937600\", alpha=\"0.01\", expect_size=\"34775040\"] \n  1 -> 5 [size =\"34775040\"]\n  2 [size=\"19271680\", alpha=\"0.09\", expect_size=\"7708672\"] \n  2 -> 6 [size =\"7708672\"]\n  3 [size=\"55441920\", alpha=\"0.10\", expect_size=\"22176768\"] \n  3 -> 4 [size =\"22176768\"]\n  4 [size=\"117258240\", alpha=\"0.07\", expect_size=\"46903296\"] \n  4 -> 7 [size =\"46903296\"]\n  4 -> 8 [size =\"46903296\"]\n  4 -> 9 [size =\"46903296\"]\n  5 [size=\"89671680\", alpha=\"0.18\", expect_size=\"35868672\"] \n  5 -> 7 [size =\"35868672\"]\n  5 -> 8 [size =\"35868672\"]\n  6 [size=\"53555200\", alpha=\"0.08\", expect_size=\"21422080\"] \n  6 -> 9 [size =\"21422080\"]\n  7 [size=\"125286400\", alpha=\"0.13\", expect_size=\"50114560\"] \n  7 -> 11 [size =\"50114560\"]\n  8 [size=\"98124800\", alpha=\"0.20\", expect_size=\"39249920\"] \n  8 -> 10 [size =\"39249920\"]\n  8 -> 11 [size =\"39249920\"]\n  9 [size=\"54804480\", alpha=\"0.11\", expect_size=\"21921792\"] \n  9 -> 10 [size =\"21921792\"]\n  9 -> 12 [size =\"21921792\"]\n  10 [size=\"30359040\", alpha=\"0.09\", expect_size=\"12143616\"] \n  10 -> 13 [size =\"12143616\"]\n  11 [size=\"110822400\", alpha=\"0.00\", expect_size=\"44328960\"] \n  11 -> 13 [size =\"44328960\"]\n  11 -> 14 [size =\"44328960\"]\n  11 -> 15 [size =\"44328960\"]\n  12 [size=\"118804480\", alpha=\"0.15\", expect_size=\"47521792\"] \n  12 -> 13 [size =\"47521792\"]\n  12 -> 14 [size =\"47521792\"]\n  13 [size=\"56627200\", alpha=\"0.08\", expect_size=\"22650880\"] \n  13 -> 16 [size =\"22650880\"]\n  13 -> 17 [size =\"22650880\"]\n  14 [size=\"112711680\", alpha=\"0.18\", expect_size=\"45084672\"] \n  15 [size=\"33768960\", alpha=\"0.08\", expect_size=\"13507584\"] \n  16 [size=\"23173120\", alpha=\"0.08\", expect_size=\"9269248\"] \n  16 -> 18 [size =\"9269248\"]\n  16 -> 20 [size =\"9269248\"]\n  17 [size=\"72606720\", alpha=\"0.01\", expect_size=\"29042688\"] \n  17 -> 18 [size =\"29042688\"]\n  17 -> 19 [size =\"29042688\"]\n  17 -> 20 [size =\"29042688\"]\n  18 [size=\"32688640\", alpha=\"0.12\", expect_size=\"13075456\"] \n  19 [size=\"31065600\", alpha=\"0.01\", expect_size=\"12426240\"] \n  19 -> 23 [size =\"12426240\"]\n  19 -> 24 [size =\"12426240\"]\n  20 [size=\"98360320\", alpha=\"0.12\", expect_size=\"39344128\"] \n  20 -> 21 [size =\"39344128\"]\n  20 -> 22 [size =\"39344128\"]\n  21 [size=\"35033600\", alpha=\"0.16\", expect_size=\"14013440\"] \n  21 -> 25 [size =\"14013440\"]\n  22 [size=\"37736960\", alpha=\"0.01\", expect_size=\"15094784\"] \n  22 -> 26 [size =\"15094784\"]\n  23 [size=\"128693760\", alpha=\"0.13\", expect_size=\"51477504\"] \n  23 -> 25 [size =\"51477504\"]\n  24 [size=\"60126720\", alpha=\"0.02\", expect_size=\"24050688\"] \n  24 -> 25 [size =\"24050688\"]\n  25 [size=\"46520320\", alpha=\"0.05\", expect_size=\"18608128\"] \n  25 -> 27 [size =\"18608128\"]\n  25 -> 28 [size =\"18608128\"]\n  25 -> 29 [size =\"18608128\"]\n  26 [size=\"91202560\", alpha=\"0.14\", expect_size=\"36481024\"] \n  26 -> 27 [size =\"36481024\"]\n  26 -> 28 [size =\"36481024\"]\n  26 -> 29 [size =\"36481024\"]\n  27 [size=\"19299840\", alpha=\"0.03\", expect_size=\"7719936\"] \n  27 -> 30 [size =\"7719936\"]\n  27 -> 31 [size =\"7719936\"]\n  27 -> 33 [size =\"7719936\"]\n  28 [size=\"27261440\", alpha=\"0.06\", expect_size=\"10904576\"] \n  28 -> 33 [size =\"10904576\"]\n  29 [size=\"99842560\", alpha=\"0.16\", expect_size=\"39937024\"] \n  29 -> 31 [size =\"39937024\"]\n  29 -> 32 [size =\"39937024\"]\n  29 -> 33 [size =\"39937024\"]\n  30 [size=\"104248320\", alpha=\"0.09\", expect_size=\"41699328\"] \n  30 -> 36 [size =\"41699328\"]\n  31 [size=\"56970240\", alpha=\"0.18\", expect_size=\"22788096\"] \n  32 [size=\"31841280\", alpha=\"0.05\", expect_size=\"12736512\"] \n  32 -> 34 [size =\"12736512\"]\n  33 [size=\"35028480\", alpha=\"0.00\", expect_size=\"14011392\"] \n  33 -> 35 [size =\"14011392\"]\n  34 [size=\"108864000\", alpha=\"0.12\", expect_size=\"43545600\"] \n  34 -> 37 [size =\"43545600\"]\n  35 [size=\"121571840\", alpha=\"0.07\", expect_size=\"48628736\"] \n  35 -> 38 [size =\"48628736\"]\n  35 -> 39 [size =\"48628736\"]\n  36 [size=\"31754240\", alpha=\"0.04\", expect_size=\"12701696\"] \n  36 -> 37 [size =\"12701696\"]\n  37 [size=\"115786240\", alpha=\"0.11\", expect_size=\"46314496\"] \n  38 [size=\"13990400\", alpha=\"0.01\", expect_size=\"5596160\"] \n  38 -> 40 [size =\"5596160\"]\n  39 [size=\"47313920\", alpha=\"0.14\", expect_size=\"18925568\"] \n  40 [size=\"21529600\", alpha=\"0.02\", expect_size=\"8611840\"] \n  40 -> 41 [size =\"8611840\"]\n  40 -> 42 [size =\"8611840\"]\n  40 -> 43 [size =\"8611840\"]\n  40 -> 44 [size =\"8611840\"]\n  41 [size=\"71851520\", alpha=\"0.14\", expect_size=\"28740608\"] \n  42 [size=\"60067840\", alpha=\"0.09\", expect_size=\"24027136\"] \n  43 [size=\"91878400\", alpha=\"0.05\", expect_size=\"36751360\"] \n  43 -> 45 [size =\"36751360\"]\n  44 [size=\"92835840\", alpha=\"0.08\", expect_size=\"37134336\"] \n  45 [size=\"44584960\", alpha=\"0.17\", expect_size=\"17833984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26841600\", alpha=\"0.01\", expect_size=\"10736640\"] \n  1 -> 28 [size =\"10736640\"]\n  1 -> 31 [size =\"10736640\"]\n  1 -> 32 [size =\"10736640\"]\n  1 -> 33 [size =\"10736640\"]\n  1 -> 39 [size =\"10736640\"]\n  1 -> 40 [size =\"10736640\"]\n  1 -> 41 [size =\"10736640\"]\n  2 [size=\"35159040\", alpha=\"0.09\", expect_size=\"14063616\"] \n  2 -> 28 [size =\"14063616\"]\n  2 -> 32 [size =\"14063616\"]\n  2 -> 33 [size =\"14063616\"]\n  2 -> 36 [size =\"14063616\"]\n  2 -> 38 [size =\"14063616\"]\n  2 -> 40 [size =\"14063616\"]\n  2 -> 43 [size =\"14063616\"]\n  3 [size=\"123870720\", alpha=\"0.18\", expect_size=\"49548288\"] \n  3 -> 32 [size =\"49548288\"]\n  3 -> 38 [size =\"49548288\"]\n  3 -> 39 [size =\"49548288\"]\n  4 [size=\"61713920\", alpha=\"0.15\", expect_size=\"24685568\"] \n  4 -> 29 [size =\"24685568\"]\n  4 -> 36 [size =\"24685568\"]\n  4 -> 38 [size =\"24685568\"]\n  4 -> 42 [size =\"24685568\"]\n  4 -> 43 [size =\"24685568\"]\n  5 [size=\"58012160\", alpha=\"0.10\", expect_size=\"23204864\"] \n  5 -> 32 [size =\"23204864\"]\n  5 -> 33 [size =\"23204864\"]\n  5 -> 36 [size =\"23204864\"]\n  5 -> 37 [size =\"23204864\"]\n  5 -> 38 [size =\"23204864\"]\n  5 -> 39 [size =\"23204864\"]\n  5 -> 43 [size =\"23204864\"]\n  6 [size=\"83161600\", alpha=\"0.18\", expect_size=\"33264640\"] \n  6 -> 32 [size =\"33264640\"]\n  6 -> 33 [size =\"33264640\"]\n  6 -> 34 [size =\"33264640\"]\n  6 -> 37 [size =\"33264640\"]\n  6 -> 39 [size =\"33264640\"]\n  6 -> 39 [size =\"33264640\"]\n  6 -> 43 [size =\"33264640\"]\n  6 -> 45 [size =\"33264640\"]\n  7 [size=\"60208640\", alpha=\"0.05\", expect_size=\"24083456\"] \n  7 -> 32 [size =\"24083456\"]\n  7 -> 33 [size =\"24083456\"]\n  7 -> 36 [size =\"24083456\"]\n  7 -> 39 [size =\"24083456\"]\n  8 [size=\"118952960\", alpha=\"0.07\", expect_size=\"47581184\"] \n  8 -> 31 [size =\"47581184\"]\n  8 -> 33 [size =\"47581184\"]\n  8 -> 37 [size =\"47581184\"]\n  8 -> 38 [size =\"47581184\"]\n  8 -> 39 [size =\"47581184\"]\n  8 -> 43 [size =\"47581184\"]\n  8 -> 45 [size =\"47581184\"]\n  9 [size=\"59548160\", alpha=\"0.17\", expect_size=\"23819264\"] \n  9 -> 33 [size =\"23819264\"]\n  9 -> 34 [size =\"23819264\"]\n  9 -> 35 [size =\"23819264\"]\n  9 -> 36 [size =\"23819264\"]\n  9 -> 38 [size =\"23819264\"]\n  9 -> 39 [size =\"23819264\"]\n  9 -> 42 [size =\"23819264\"]\n  9 -> 45 [size =\"23819264\"]\n  10 [size=\"87541760\", alpha=\"0.05\", expect_size=\"35016704\"] \n  10 -> 28 [size =\"35016704\"]\n  10 -> 29 [size =\"35016704\"]\n  10 -> 33 [size =\"35016704\"]\n  10 -> 36 [size =\"35016704\"]\n  10 -> 45 [size =\"35016704\"]\n  11 [size=\"128189440\", alpha=\"0.20\", expect_size=\"51275776\"] \n  11 -> 33 [size =\"51275776\"]\n  11 -> 35 [size =\"51275776\"]\n  11 -> 39 [size =\"51275776\"]\n  11 -> 43 [size =\"51275776\"]\n  11 -> 45 [size =\"51275776\"]\n  12 [size=\"14256640\", alpha=\"0.20\", expect_size=\"5702656\"] \n  12 -> 33 [size =\"5702656\"]\n  12 -> 34 [size =\"5702656\"]\n  12 -> 35 [size =\"5702656\"]\n  12 -> 36 [size =\"5702656\"]\n  12 -> 38 [size =\"5702656\"]\n  12 -> 41 [size =\"5702656\"]\n  12 -> 43 [size =\"5702656\"]\n  12 -> 45 [size =\"5702656\"]\n  13 [size=\"68695040\", alpha=\"0.06\", expect_size=\"27478016\"] \n  13 -> 36 [size =\"27478016\"]\n  13 -> 38 [size =\"27478016\"]\n  13 -> 42 [size =\"27478016\"]\n  13 -> 43 [size =\"27478016\"]\n  13 -> 45 [size =\"27478016\"]\n  14 [size=\"56156160\", alpha=\"0.18\", expect_size=\"22462464\"] \n  14 -> 28 [size =\"22462464\"]\n  14 -> 30 [size =\"22462464\"]\n  14 -> 32 [size =\"22462464\"]\n  14 -> 33 [size =\"22462464\"]\n  14 -> 36 [size =\"22462464\"]\n  14 -> 37 [size =\"22462464\"]\n  14 -> 42 [size =\"22462464\"]\n  14 -> 44 [size =\"22462464\"]\n  14 -> 45 [size =\"22462464\"]\n  15 [size=\"25909760\", alpha=\"0.20\", expect_size=\"10363904\"] \n  15 -> 37 [size =\"10363904\"]\n  15 -> 40 [size =\"10363904\"]\n  16 [size=\"83601920\", alpha=\"0.19\", expect_size=\"33440768\"] \n  16 -> 28 [size =\"33440768\"]\n  16 -> 29 [size =\"33440768\"]\n  16 -> 33 [size =\"33440768\"]\n  17 [size=\"68922880\", alpha=\"0.10\", expect_size=\"27569152\"] \n  17 -> 29 [size =\"27569152\"]\n  17 -> 32 [size =\"27569152\"]\n  17 -> 33 [size =\"27569152\"]\n  17 -> 34 [size =\"27569152\"]\n  17 -> 36 [size =\"27569152\"]\n  17 -> 38 [size =\"27569152\"]\n  17 -> 41 [size =\"27569152\"]\n  18 [size=\"100032000\", alpha=\"0.19\", expect_size=\"40012800\"] \n  18 -> 32 [size =\"40012800\"]\n  18 -> 33 [size =\"40012800\"]\n  18 -> 38 [size =\"40012800\"]\n  18 -> 40 [size =\"40012800\"]\n  18 -> 41 [size =\"40012800\"]\n  18 -> 42 [size =\"40012800\"]\n  18 -> 43 [size =\"40012800\"]\n  18 -> 45 [size =\"40012800\"]\n  19 [size=\"22210560\", alpha=\"0.14\", expect_size=\"8884224\"] \n  19 -> 28 [size =\"8884224\"]\n  19 -> 32 [size =\"8884224\"]\n  19 -> 35 [size =\"8884224\"]\n  19 -> 36 [size =\"8884224\"]\n  19 -> 37 [size =\"8884224\"]\n  19 -> 38 [size =\"8884224\"]\n  19 -> 40 [size =\"8884224\"]\n  19 -> 41 [size =\"8884224\"]\n  19 -> 43 [size =\"8884224\"]\n  19 -> 45 [size =\"8884224\"]\n  20 [size=\"120404480\", alpha=\"0.17\", expect_size=\"48161792\"] \n  20 -> 29 [size =\"48161792\"]\n  20 -> 32 [size =\"48161792\"]\n  20 -> 34 [size =\"48161792\"]\n  20 -> 36 [size =\"48161792\"]\n  20 -> 43 [size =\"48161792\"]\n  20 -> 44 [size =\"48161792\"]\n  20 -> 45 [size =\"48161792\"]\n  21 [size=\"31042560\", alpha=\"0.02\", expect_size=\"12417024\"] \n  21 -> 29 [size =\"12417024\"]\n  21 -> 32 [size =\"12417024\"]\n  21 -> 34 [size =\"12417024\"]\n  21 -> 36 [size =\"12417024\"]\n  21 -> 37 [size =\"12417024\"]\n  21 -> 45 [size =\"12417024\"]\n  21 -> 45 [size =\"12417024\"]\n  22 [size=\"29890560\", alpha=\"0.11\", expect_size=\"11956224\"] \n  22 -> 32 [size =\"11956224\"]\n  22 -> 32 [size =\"11956224\"]\n  22 -> 36 [size =\"11956224\"]\n  22 -> 37 [size =\"11956224\"]\n  22 -> 43 [size =\"11956224\"]\n  23 [size=\"27724800\", alpha=\"0.19\", expect_size=\"11089920\"] \n  23 -> 30 [size =\"11089920\"]\n  23 -> 32 [size =\"11089920\"]\n  23 -> 41 [size =\"11089920\"]\n  23 -> 45 [size =\"11089920\"]\n  24 [size=\"61171200\", alpha=\"0.15\", expect_size=\"24468480\"] \n  24 -> 29 [size =\"24468480\"]\n  24 -> 31 [size =\"24468480\"]\n  24 -> 32 [size =\"24468480\"]\n  24 -> 33 [size =\"24468480\"]\n  24 -> 37 [size =\"24468480\"]\n  24 -> 39 [size =\"24468480\"]\n  24 -> 41 [size =\"24468480\"]\n  25 [size=\"46899200\", alpha=\"0.19\", expect_size=\"18759680\"] \n  25 -> 29 [size =\"18759680\"]\n  25 -> 31 [size =\"18759680\"]\n  25 -> 32 [size =\"18759680\"]\n  25 -> 33 [size =\"18759680\"]\n  25 -> 35 [size =\"18759680\"]\n  25 -> 36 [size =\"18759680\"]\n  25 -> 37 [size =\"18759680\"]\n  25 -> 38 [size =\"18759680\"]\n  25 -> 43 [size =\"18759680\"]\n  26 [size=\"44648960\", alpha=\"0.14\", expect_size=\"17859584\"] \n  26 -> 29 [size =\"17859584\"]\n  26 -> 32 [size =\"17859584\"]\n  26 -> 32 [size =\"17859584\"]\n  26 -> 36 [size =\"17859584\"]\n  26 -> 37 [size =\"17859584\"]\n  26 -> 40 [size =\"17859584\"]\n  26 -> 45 [size =\"17859584\"]\n  27 [size=\"37135360\", alpha=\"0.18\", expect_size=\"14854144\"] \n  27 -> 28 [size =\"14854144\"]\n  27 -> 29 [size =\"14854144\"]\n  27 -> 33 [size =\"14854144\"]\n  27 -> 34 [size =\"14854144\"]\n  27 -> 36 [size =\"14854144\"]\n  27 -> 39 [size =\"14854144\"]\n  27 -> 40 [size =\"14854144\"]\n  27 -> 41 [size =\"14854144\"]\n  27 -> 43 [size =\"14854144\"]\n  27 -> 44 [size =\"14854144\"]\n  27 -> 45 [size =\"14854144\"]\n  28 [size=\"98460160\", alpha=\"0.19\", expect_size=\"39384064\"] \n  29 [size=\"93486080\", alpha=\"0.09\", expect_size=\"37394432\"] \n  30 [size=\"56268800\", alpha=\"0.11\", expect_size=\"22507520\"] \n  31 [size=\"36623360\", alpha=\"0.12\", expect_size=\"14649344\"] \n  32 [size=\"48281600\", alpha=\"0.14\", expect_size=\"19312640\"] \n  33 [size=\"113300480\", alpha=\"0.05\", expect_size=\"45320192\"] \n  34 [size=\"106513920\", alpha=\"0.03\", expect_size=\"42605568\"] \n  35 [size=\"76531200\", alpha=\"0.04\", expect_size=\"30612480\"] \n  36 [size=\"68259840\", alpha=\"0.16\", expect_size=\"27303936\"] \n  37 [size=\"33786880\", alpha=\"0.18\", expect_size=\"13514752\"] \n  38 [size=\"20218880\", alpha=\"0.15\", expect_size=\"8087552\"] \n  39 [size=\"15436800\", alpha=\"0.13\", expect_size=\"6174720\"] \n  40 [size=\"65884160\", alpha=\"0.10\", expect_size=\"26353664\"] \n  41 [size=\"128033280\", alpha=\"0.09\", expect_size=\"51213312\"] \n  42 [size=\"81039360\", alpha=\"0.12\", expect_size=\"32415744\"] \n  43 [size=\"44019200\", alpha=\"0.17\", expect_size=\"17607680\"] \n  44 [size=\"72560640\", alpha=\"0.10\", expect_size=\"29024256\"] \n  45 [size=\"91747840\", alpha=\"0.08\", expect_size=\"36699136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151668053\", alpha=\"0.11\", expect_size=\"45500416\"] \n  1 -> 5 [size =\"45500416\"]\n  2 [size=\"128436907\", alpha=\"0.13\", expect_size=\"38531072\"] \n  2 -> 4 [size =\"38531072\"]\n  2 -> 5 [size =\"38531072\"]\n  3 [size=\"161088853\", alpha=\"0.17\", expect_size=\"48326656\"] \n  3 -> 4 [size =\"48326656\"]\n  3 -> 5 [size =\"48326656\"]\n  4 [size=\"117575680\", alpha=\"0.06\", expect_size=\"35272704\"] \n  4 -> 6 [size =\"35272704\"]\n  4 -> 7 [size =\"35272704\"]\n  5 [size=\"80889173\", alpha=\"0.09\", expect_size=\"24266752\"] \n  5 -> 6 [size =\"24266752\"]\n  6 [size=\"116394667\", alpha=\"0.17\", expect_size=\"34918400\"] \n  6 -> 8 [size =\"34918400\"]\n  6 -> 10 [size =\"34918400\"]\n  7 [size=\"137379840\", alpha=\"0.08\", expect_size=\"41213952\"] \n  7 -> 8 [size =\"41213952\"]\n  7 -> 9 [size =\"41213952\"]\n  7 -> 10 [size =\"41213952\"]\n  8 [size=\"67508907\", alpha=\"0.07\", expect_size=\"20252672\"] \n  9 [size=\"27067733\", alpha=\"0.14\", expect_size=\"8120320\"] \n  10 [size=\"164283733\", alpha=\"0.01\", expect_size=\"49285120\"] \n  10 -> 11 [size =\"49285120\"]\n  10 -> 12 [size =\"49285120\"]\n  11 [size=\"106509653\", alpha=\"0.16\", expect_size=\"31952896\"] \n  11 -> 13 [size =\"31952896\"]\n  11 -> 14 [size =\"31952896\"]\n  12 [size=\"36751360\", alpha=\"0.09\", expect_size=\"11025408\"] \n  12 -> 14 [size =\"11025408\"]\n  13 [size=\"139717973\", alpha=\"0.06\", expect_size=\"41915392\"] \n  13 -> 15 [size =\"41915392\"]\n  13 -> 16 [size =\"41915392\"]\n  13 -> 17 [size =\"41915392\"]\n  14 [size=\"113223680\", alpha=\"0.16\", expect_size=\"33967104\"] \n  14 -> 16 [size =\"33967104\"]\n  14 -> 17 [size =\"33967104\"]\n  15 [size=\"157402453\", alpha=\"0.20\", expect_size=\"47220736\"] \n  15 -> 18 [size =\"47220736\"]\n  15 -> 19 [size =\"47220736\"]\n  15 -> 20 [size =\"47220736\"]\n  16 [size=\"71884800\", alpha=\"0.01\", expect_size=\"21565440\"] \n  16 -> 18 [size =\"21565440\"]\n  16 -> 19 [size =\"21565440\"]\n  16 -> 20 [size =\"21565440\"]\n  17 [size=\"50520747\", alpha=\"0.17\", expect_size=\"15156224\"] \n  17 -> 18 [size =\"15156224\"]\n  17 -> 20 [size =\"15156224\"]\n  18 [size=\"116974933\", alpha=\"0.12\", expect_size=\"35092480\"] \n  18 -> 23 [size =\"35092480\"]\n  19 [size=\"170973867\", alpha=\"0.16\", expect_size=\"51292160\"] \n  19 -> 21 [size =\"51292160\"]\n  19 -> 22 [size =\"51292160\"]\n  19 -> 23 [size =\"51292160\"]\n  20 [size=\"123839147\", alpha=\"0.10\", expect_size=\"37151744\"] \n  20 -> 22 [size =\"37151744\"]\n  20 -> 23 [size =\"37151744\"]\n  21 [size=\"133963093\", alpha=\"0.01\", expect_size=\"40188928\"] \n  21 -> 24 [size =\"40188928\"]\n  21 -> 25 [size =\"40188928\"]\n  22 [size=\"99000320\", alpha=\"0.06\", expect_size=\"29700096\"] \n  22 -> 25 [size =\"29700096\"]\n  22 -> 26 [size =\"29700096\"]\n  23 [size=\"171967147\", alpha=\"0.09\", expect_size=\"51590144\"] \n  23 -> 25 [size =\"51590144\"]\n  24 [size=\"59173547\", alpha=\"0.05\", expect_size=\"17752064\"] \n  24 -> 27 [size =\"17752064\"]\n  24 -> 28 [size =\"17752064\"]\n  24 -> 29 [size =\"17752064\"]\n  25 [size=\"31508480\", alpha=\"0.10\", expect_size=\"9452544\"] \n  25 -> 27 [size =\"9452544\"]\n  25 -> 29 [size =\"9452544\"]\n  26 [size=\"30962347\", alpha=\"0.06\", expect_size=\"9288704\"] \n  26 -> 27 [size =\"9288704\"]\n  26 -> 28 [size =\"9288704\"]\n  26 -> 29 [size =\"9288704\"]\n  27 [size=\"40717653\", alpha=\"0.19\", expect_size=\"12215296\"] \n  27 -> 30 [size =\"12215296\"]\n  27 -> 31 [size =\"12215296\"]\n  27 -> 32 [size =\"12215296\"]\n  28 [size=\"173929813\", alpha=\"0.17\", expect_size=\"52178944\"] \n  28 -> 30 [size =\"52178944\"]\n  28 -> 32 [size =\"52178944\"]\n  29 [size=\"112592213\", alpha=\"0.17\", expect_size=\"33777664\"] \n  29 -> 30 [size =\"33777664\"]\n  29 -> 32 [size =\"33777664\"]\n  30 [size=\"77902507\", alpha=\"0.15\", expect_size=\"23370752\"] \n  31 [size=\"153347413\", alpha=\"0.05\", expect_size=\"46004224\"] \n  31 -> 33 [size =\"46004224\"]\n  32 [size=\"158549333\", alpha=\"0.17\", expect_size=\"47564800\"] \n  32 -> 33 [size =\"47564800\"]\n  32 -> 34 [size =\"47564800\"]\n  33 [size=\"47182507\", alpha=\"0.04\", expect_size=\"14154752\"] \n  33 -> 36 [size =\"14154752\"]\n  34 [size=\"120156160\", alpha=\"0.04\", expect_size=\"36046848\"] \n  34 -> 35 [size =\"36046848\"]\n  34 -> 36 [size =\"36046848\"]\n  35 [size=\"162993493\", alpha=\"0.02\", expect_size=\"48898048\"] \n  35 -> 37 [size =\"48898048\"]\n  35 -> 39 [size =\"48898048\"]\n  36 [size=\"81824427\", alpha=\"0.06\", expect_size=\"24547328\"] \n  36 -> 37 [size =\"24547328\"]\n  36 -> 38 [size =\"24547328\"]\n  37 [size=\"132857173\", alpha=\"0.15\", expect_size=\"39857152\"] \n  37 -> 41 [size =\"39857152\"]\n  37 -> 42 [size =\"39857152\"]\n  38 [size=\"121425920\", alpha=\"0.16\", expect_size=\"36427776\"] \n  38 -> 40 [size =\"36427776\"]\n  38 -> 41 [size =\"36427776\"]\n  38 -> 42 [size =\"36427776\"]\n  39 [size=\"97566720\", alpha=\"0.17\", expect_size=\"29270016\"] \n  39 -> 41 [size =\"29270016\"]\n  39 -> 42 [size =\"29270016\"]\n  40 [size=\"70871040\", alpha=\"0.12\", expect_size=\"21261312\"] \n  40 -> 44 [size =\"21261312\"]\n  41 [size=\"30866773\", alpha=\"0.01\", expect_size=\"9260032\"] \n  41 -> 43 [size =\"9260032\"]\n  41 -> 44 [size =\"9260032\"]\n  42 [size=\"66583893\", alpha=\"0.00\", expect_size=\"19975168\"] \n  43 [size=\"40014507\", alpha=\"0.20\", expect_size=\"12004352\"] \n  43 -> 45 [size =\"12004352\"]\n  44 [size=\"73407147\", alpha=\"0.04\", expect_size=\"22022144\"] \n  44 -> 45 [size =\"22022144\"]\n  45 [size=\"105222827\", alpha=\"0.10\", expect_size=\"31566848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68450987\", alpha=\"0.05\", expect_size=\"20535296\"] \n  1 -> 41 [size =\"20535296\"]\n  1 -> 42 [size =\"20535296\"]\n  2 [size=\"27996160\", alpha=\"0.03\", expect_size=\"8398848\"] \n  2 -> 41 [size =\"8398848\"]\n  2 -> 42 [size =\"8398848\"]\n  2 -> 43 [size =\"8398848\"]\n  3 [size=\"120835413\", alpha=\"0.09\", expect_size=\"36250624\"] \n  3 -> 41 [size =\"36250624\"]\n  3 -> 42 [size =\"36250624\"]\n  4 [size=\"104830293\", alpha=\"0.19\", expect_size=\"31449088\"] \n  4 -> 41 [size =\"31449088\"]\n  4 -> 42 [size =\"31449088\"]\n  4 -> 43 [size =\"31449088\"]\n  5 [size=\"149964800\", alpha=\"0.14\", expect_size=\"44989440\"] \n  5 -> 42 [size =\"44989440\"]\n  5 -> 43 [size =\"44989440\"]\n  5 -> 45 [size =\"44989440\"]\n  6 [size=\"40386560\", alpha=\"0.10\", expect_size=\"12115968\"] \n  6 -> 41 [size =\"12115968\"]\n  6 -> 42 [size =\"12115968\"]\n  7 [size=\"124893867\", alpha=\"0.01\", expect_size=\"37468160\"] \n  7 -> 43 [size =\"37468160\"]\n  8 [size=\"76523520\", alpha=\"0.05\", expect_size=\"22957056\"] \n  8 -> 42 [size =\"22957056\"]\n  8 -> 43 [size =\"22957056\"]\n  9 [size=\"52998827\", alpha=\"0.04\", expect_size=\"15899648\"] \n  9 -> 41 [size =\"15899648\"]\n  9 -> 42 [size =\"15899648\"]\n  10 [size=\"77066240\", alpha=\"0.01\", expect_size=\"23119872\"] \n  10 -> 41 [size =\"23119872\"]\n  10 -> 42 [size =\"23119872\"]\n  11 [size=\"76472320\", alpha=\"0.11\", expect_size=\"22941696\"] \n  11 -> 43 [size =\"22941696\"]\n  11 -> 45 [size =\"22941696\"]\n  12 [size=\"118882987\", alpha=\"0.10\", expect_size=\"35664896\"] \n  12 -> 42 [size =\"35664896\"]\n  13 [size=\"141038933\", alpha=\"0.03\", expect_size=\"42311680\"] \n  13 -> 42 [size =\"42311680\"]\n  14 [size=\"51500373\", alpha=\"0.17\", expect_size=\"15450112\"] \n  14 -> 41 [size =\"15450112\"]\n  14 -> 43 [size =\"15450112\"]\n  14 -> 45 [size =\"15450112\"]\n  15 [size=\"43598507\", alpha=\"0.05\", expect_size=\"13079552\"] \n  15 -> 41 [size =\"13079552\"]\n  15 -> 45 [size =\"13079552\"]\n  16 [size=\"155955200\", alpha=\"0.20\", expect_size=\"46786560\"] \n  16 -> 41 [size =\"46786560\"]\n  16 -> 42 [size =\"46786560\"]\n  17 [size=\"80694613\", alpha=\"0.16\", expect_size=\"24208384\"] \n  17 -> 41 [size =\"24208384\"]\n  17 -> 43 [size =\"24208384\"]\n  17 -> 45 [size =\"24208384\"]\n  18 [size=\"92200960\", alpha=\"0.13\", expect_size=\"27660288\"] \n  18 -> 41 [size =\"27660288\"]\n  18 -> 43 [size =\"27660288\"]\n  18 -> 45 [size =\"27660288\"]\n  19 [size=\"132317867\", alpha=\"0.13\", expect_size=\"39695360\"] \n  19 -> 42 [size =\"39695360\"]\n  19 -> 43 [size =\"39695360\"]\n  19 -> 45 [size =\"39695360\"]\n  20 [size=\"163642027\", alpha=\"0.05\", expect_size=\"49092608\"] \n  20 -> 43 [size =\"49092608\"]\n  20 -> 43 [size =\"49092608\"]\n  20 -> 45 [size =\"49092608\"]\n  21 [size=\"170141013\", alpha=\"0.03\", expect_size=\"51042304\"] \n  21 -> 42 [size =\"51042304\"]\n  21 -> 45 [size =\"51042304\"]\n  22 [size=\"102147413\", alpha=\"0.03\", expect_size=\"30644224\"] \n  22 -> 42 [size =\"30644224\"]\n  22 -> 43 [size =\"30644224\"]\n  23 [size=\"23627093\", alpha=\"0.16\", expect_size=\"7088128\"] \n  23 -> 41 [size =\"7088128\"]\n  23 -> 42 [size =\"7088128\"]\n  24 [size=\"45366613\", alpha=\"0.20\", expect_size=\"13609984\"] \n  24 -> 41 [size =\"13609984\"]\n  24 -> 42 [size =\"13609984\"]\n  24 -> 44 [size =\"13609984\"]\n  25 [size=\"19404800\", alpha=\"0.01\", expect_size=\"5821440\"] \n  25 -> 41 [size =\"5821440\"]\n  25 -> 43 [size =\"5821440\"]\n  26 [size=\"61928107\", alpha=\"0.05\", expect_size=\"18578432\"] \n  26 -> 41 [size =\"18578432\"]\n  26 -> 43 [size =\"18578432\"]\n  27 [size=\"60740267\", alpha=\"0.02\", expect_size=\"18222080\"] \n  27 -> 42 [size =\"18222080\"]\n  28 [size=\"26985813\", alpha=\"0.07\", expect_size=\"8095744\"] \n  28 -> 42 [size =\"8095744\"]\n  28 -> 43 [size =\"8095744\"]\n  29 [size=\"126481067\", alpha=\"0.17\", expect_size=\"37944320\"] \n  29 -> 42 [size =\"37944320\"]\n  29 -> 43 [size =\"37944320\"]\n  30 [size=\"68287147\", alpha=\"0.14\", expect_size=\"20486144\"] \n  30 -> 41 [size =\"20486144\"]\n  31 [size=\"104372907\", alpha=\"0.18\", expect_size=\"31311872\"] \n  31 -> 41 [size =\"31311872\"]\n  31 -> 43 [size =\"31311872\"]\n  32 [size=\"128430080\", alpha=\"0.16\", expect_size=\"38529024\"] \n  32 -> 41 [size =\"38529024\"]\n  33 [size=\"150981973\", alpha=\"0.09\", expect_size=\"45294592\"] \n  33 -> 41 [size =\"45294592\"]\n  33 -> 42 [size =\"45294592\"]\n  34 [size=\"118097920\", alpha=\"0.06\", expect_size=\"35429376\"] \n  34 -> 43 [size =\"35429376\"]\n  35 [size=\"117138773\", alpha=\"0.07\", expect_size=\"35141632\"] \n  36 [size=\"123303253\", alpha=\"0.06\", expect_size=\"36990976\"] \n  36 -> 43 [size =\"36990976\"]\n  37 [size=\"159508480\", alpha=\"0.12\", expect_size=\"47852544\"] \n  37 -> 42 [size =\"47852544\"]\n  37 -> 43 [size =\"47852544\"]\n  37 -> 45 [size =\"47852544\"]\n  38 [size=\"18595840\", alpha=\"0.08\", expect_size=\"5578752\"] \n  39 [size=\"74188800\", alpha=\"0.19\", expect_size=\"22256640\"] \n  39 -> 41 [size =\"22256640\"]\n  40 [size=\"47243947\", alpha=\"0.08\", expect_size=\"14173184\"] \n  40 -> 41 [size =\"14173184\"]\n  40 -> 42 [size =\"14173184\"]\n  41 [size=\"154630827\", alpha=\"0.17\", expect_size=\"46389248\"] \n  42 [size=\"140779520\", alpha=\"0.16\", expect_size=\"42233856\"] \n  43 [size=\"107096747\", alpha=\"0.16\", expect_size=\"32129024\"] \n  44 [size=\"19865600\", alpha=\"0.20\", expect_size=\"5959680\"] \n  45 [size=\"70389760\", alpha=\"0.04\", expect_size=\"21116928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117470720\", alpha=\"0.01\", expect_size=\"46988288\"] \n  1 -> 4 [size =\"46988288\"]\n  2 [size=\"111219200\", alpha=\"0.02\", expect_size=\"44487680\"] \n  2 -> 5 [size =\"44487680\"]\n  2 -> 6 [size =\"44487680\"]\n  3 [size=\"93452800\", alpha=\"0.07\", expect_size=\"37381120\"] \n  3 -> 5 [size =\"37381120\"]\n  3 -> 6 [size =\"37381120\"]\n  3 -> 7 [size =\"37381120\"]\n  4 [size=\"111656960\", alpha=\"0.20\", expect_size=\"44662784\"] \n  4 -> 9 [size =\"44662784\"]\n  5 [size=\"87006720\", alpha=\"0.15\", expect_size=\"34802688\"] \n  5 -> 9 [size =\"34802688\"]\n  5 -> 11 [size =\"34802688\"]\n  5 -> 12 [size =\"34802688\"]\n  6 [size=\"90429440\", alpha=\"0.08\", expect_size=\"36171776\"] \n  6 -> 8 [size =\"36171776\"]\n  7 [size=\"15260160\", alpha=\"0.09\", expect_size=\"6104064\"] \n  7 -> 10 [size =\"6104064\"]\n  7 -> 12 [size =\"6104064\"]\n  8 [size=\"53534720\", alpha=\"0.13\", expect_size=\"21413888\"] \n  8 -> 14 [size =\"21413888\"]\n  9 [size=\"129077760\", alpha=\"0.16\", expect_size=\"51631104\"] \n  10 [size=\"38760960\", alpha=\"0.12\", expect_size=\"15504384\"] \n  10 -> 13 [size =\"15504384\"]\n  10 -> 14 [size =\"15504384\"]\n  10 -> 16 [size =\"15504384\"]\n  11 [size=\"33359360\", alpha=\"0.03\", expect_size=\"13343744\"] \n  11 -> 13 [size =\"13343744\"]\n  11 -> 16 [size =\"13343744\"]\n  12 [size=\"40340480\", alpha=\"0.20\", expect_size=\"16136192\"] \n  12 -> 13 [size =\"16136192\"]\n  12 -> 15 [size =\"16136192\"]\n  12 -> 16 [size =\"16136192\"]\n  13 [size=\"50388480\", alpha=\"0.12\", expect_size=\"20155392\"] \n  13 -> 19 [size =\"20155392\"]\n  13 -> 20 [size =\"20155392\"]\n  14 [size=\"92270080\", alpha=\"0.01\", expect_size=\"36908032\"] \n  14 -> 17 [size =\"36908032\"]\n  14 -> 20 [size =\"36908032\"]\n  14 -> 21 [size =\"36908032\"]\n  14 -> 22 [size =\"36908032\"]\n  15 [size=\"91258880\", alpha=\"0.07\", expect_size=\"36503552\"] \n  15 -> 18 [size =\"36503552\"]\n  15 -> 19 [size =\"36503552\"]\n  15 -> 22 [size =\"36503552\"]\n  16 [size=\"59379200\", alpha=\"0.16\", expect_size=\"23751680\"] \n  16 -> 21 [size =\"23751680\"]\n  17 [size=\"107100160\", alpha=\"0.03\", expect_size=\"42840064\"] \n  17 -> 23 [size =\"42840064\"]\n  17 -> 24 [size =\"42840064\"]\n  18 [size=\"44418560\", alpha=\"0.19\", expect_size=\"17767424\"] \n  18 -> 25 [size =\"17767424\"]\n  19 [size=\"120092160\", alpha=\"0.15\", expect_size=\"48036864\"] \n  19 -> 25 [size =\"48036864\"]\n  20 [size=\"96990720\", alpha=\"0.16\", expect_size=\"38796288\"] \n  20 -> 25 [size =\"38796288\"]\n  21 [size=\"52165120\", alpha=\"0.16\", expect_size=\"20866048\"] \n  22 [size=\"67522560\", alpha=\"0.12\", expect_size=\"27009024\"] \n  22 -> 23 [size =\"27009024\"]\n  23 [size=\"67251200\", alpha=\"0.01\", expect_size=\"26900480\"] \n  23 -> 27 [size =\"26900480\"]\n  24 [size=\"22592000\", alpha=\"0.07\", expect_size=\"9036800\"] \n  24 -> 26 [size =\"9036800\"]\n  24 -> 28 [size =\"9036800\"]\n  25 [size=\"27394560\", alpha=\"0.06\", expect_size=\"10957824\"] \n  25 -> 28 [size =\"10957824\"]\n  26 [size=\"70796800\", alpha=\"0.18\", expect_size=\"28318720\"] \n  26 -> 29 [size =\"28318720\"]\n  26 -> 30 [size =\"28318720\"]\n  27 [size=\"44907520\", alpha=\"0.10\", expect_size=\"17963008\"] \n  27 -> 29 [size =\"17963008\"]\n  28 [size=\"61406720\", alpha=\"0.09\", expect_size=\"24562688\"] \n  28 -> 31 [size =\"24562688\"]\n  28 -> 32 [size =\"24562688\"]\n  29 [size=\"53457920\", alpha=\"0.08\", expect_size=\"21383168\"] \n  29 -> 35 [size =\"21383168\"]\n  29 -> 36 [size =\"21383168\"]\n  30 [size=\"22602240\", alpha=\"0.11\", expect_size=\"9040896\"] \n  30 -> 33 [size =\"9040896\"]\n  30 -> 34 [size =\"9040896\"]\n  31 [size=\"119022080\", alpha=\"0.18\", expect_size=\"47608832\"] \n  31 -> 34 [size =\"47608832\"]\n  31 -> 35 [size =\"47608832\"]\n  32 [size=\"93184000\", alpha=\"0.09\", expect_size=\"37273600\"] \n  32 -> 34 [size =\"37273600\"]\n  33 [size=\"43207680\", alpha=\"0.06\", expect_size=\"17283072\"] \n  33 -> 38 [size =\"17283072\"]\n  33 -> 40 [size =\"17283072\"]\n  33 -> 41 [size =\"17283072\"]\n  33 -> 43 [size =\"17283072\"]\n  34 [size=\"49438720\", alpha=\"0.17\", expect_size=\"19775488\"] \n  35 [size=\"92459520\", alpha=\"0.01\", expect_size=\"36983808\"] \n  35 -> 37 [size =\"36983808\"]\n  35 -> 42 [size =\"36983808\"]\n  35 -> 43 [size =\"36983808\"]\n  36 [size=\"128212480\", alpha=\"0.13\", expect_size=\"51284992\"] \n  36 -> 38 [size =\"51284992\"]\n  36 -> 39 [size =\"51284992\"]\n  36 -> 40 [size =\"51284992\"]\n  37 [size=\"116052480\", alpha=\"0.01\", expect_size=\"46420992\"] \n  38 [size=\"58135040\", alpha=\"0.15\", expect_size=\"23254016\"] \n  39 [size=\"112855040\", alpha=\"0.06\", expect_size=\"45142016\"] \n  39 -> 44 [size =\"45142016\"]\n  40 [size=\"42288640\", alpha=\"0.12\", expect_size=\"16915456\"] \n  40 -> 44 [size =\"16915456\"]\n  41 [size=\"108021760\", alpha=\"0.04\", expect_size=\"43208704\"] \n  41 -> 44 [size =\"43208704\"]\n  42 [size=\"94374400\", alpha=\"0.05\", expect_size=\"37749760\"] \n  42 -> 44 [size =\"37749760\"]\n  42 -> 45 [size =\"37749760\"]\n  43 [size=\"28579840\", alpha=\"0.16\", expect_size=\"11431936\"] \n  44 [size=\"65891840\", alpha=\"0.08\", expect_size=\"26356736\"] \n  45 [size=\"49538560\", alpha=\"0.03\", expect_size=\"19815424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108715520\", alpha=\"0.19\", expect_size=\"43486208\"] \n  1 -> 19 [size =\"43486208\"]\n  1 -> 20 [size =\"43486208\"]\n  1 -> 23 [size =\"43486208\"]\n  1 -> 27 [size =\"43486208\"]\n  2 [size=\"117102080\", alpha=\"0.18\", expect_size=\"46840832\"] \n  2 -> 18 [size =\"46840832\"]\n  2 -> 23 [size =\"46840832\"]\n  2 -> 24 [size =\"46840832\"]\n  2 -> 25 [size =\"46840832\"]\n  2 -> 28 [size =\"46840832\"]\n  3 [size=\"69898240\", alpha=\"0.04\", expect_size=\"27959296\"] \n  3 -> 22 [size =\"27959296\"]\n  3 -> 26 [size =\"27959296\"]\n  3 -> 28 [size =\"27959296\"]\n  4 [size=\"108454400\", alpha=\"0.16\", expect_size=\"43381760\"] \n  4 -> 18 [size =\"43381760\"]\n  4 -> 23 [size =\"43381760\"]\n  4 -> 31 [size =\"43381760\"]\n  5 [size=\"46312960\", alpha=\"0.04\", expect_size=\"18525184\"] \n  5 -> 20 [size =\"18525184\"]\n  5 -> 21 [size =\"18525184\"]\n  5 -> 22 [size =\"18525184\"]\n  5 -> 23 [size =\"18525184\"]\n  5 -> 33 [size =\"18525184\"]\n  6 [size=\"13585920\", alpha=\"0.10\", expect_size=\"5434368\"] \n  6 -> 18 [size =\"5434368\"]\n  6 -> 19 [size =\"5434368\"]\n  6 -> 22 [size =\"5434368\"]\n  6 -> 24 [size =\"5434368\"]\n  6 -> 29 [size =\"5434368\"]\n  6 -> 33 [size =\"5434368\"]\n  7 [size=\"15557120\", alpha=\"0.17\", expect_size=\"6222848\"] \n  7 -> 26 [size =\"6222848\"]\n  7 -> 27 [size =\"6222848\"]\n  7 -> 28 [size =\"6222848\"]\n  7 -> 29 [size =\"6222848\"]\n  7 -> 31 [size =\"6222848\"]\n  7 -> 33 [size =\"6222848\"]\n  8 [size=\"45959680\", alpha=\"0.12\", expect_size=\"18383872\"] \n  8 -> 19 [size =\"18383872\"]\n  8 -> 21 [size =\"18383872\"]\n  8 -> 28 [size =\"18383872\"]\n  8 -> 29 [size =\"18383872\"]\n  8 -> 33 [size =\"18383872\"]\n  8 -> 33 [size =\"18383872\"]\n  9 [size=\"47869440\", alpha=\"0.03\", expect_size=\"19147776\"] \n  9 -> 24 [size =\"19147776\"]\n  9 -> 25 [size =\"19147776\"]\n  9 -> 26 [size =\"19147776\"]\n  9 -> 27 [size =\"19147776\"]\n  9 -> 28 [size =\"19147776\"]\n  9 -> 29 [size =\"19147776\"]\n  9 -> 33 [size =\"19147776\"]\n  10 [size=\"22707200\", alpha=\"0.16\", expect_size=\"9082880\"] \n  10 -> 22 [size =\"9082880\"]\n  10 -> 29 [size =\"9082880\"]\n  11 [size=\"86128640\", alpha=\"0.16\", expect_size=\"34451456\"] \n  11 -> 18 [size =\"34451456\"]\n  11 -> 22 [size =\"34451456\"]\n  11 -> 26 [size =\"34451456\"]\n  11 -> 28 [size =\"34451456\"]\n  11 -> 29 [size =\"34451456\"]\n  12 [size=\"80655360\", alpha=\"0.03\", expect_size=\"32262144\"] \n  12 -> 18 [size =\"32262144\"]\n  12 -> 22 [size =\"32262144\"]\n  12 -> 28 [size =\"32262144\"]\n  12 -> 30 [size =\"32262144\"]\n  12 -> 31 [size =\"32262144\"]\n  13 [size=\"66864640\", alpha=\"0.02\", expect_size=\"26745856\"] \n  13 -> 18 [size =\"26745856\"]\n  13 -> 22 [size =\"26745856\"]\n  13 -> 26 [size =\"26745856\"]\n  13 -> 27 [size =\"26745856\"]\n  13 -> 29 [size =\"26745856\"]\n  13 -> 31 [size =\"26745856\"]\n  14 [size=\"91358720\", alpha=\"0.05\", expect_size=\"36543488\"] \n  14 -> 18 [size =\"36543488\"]\n  14 -> 20 [size =\"36543488\"]\n  14 -> 22 [size =\"36543488\"]\n  14 -> 27 [size =\"36543488\"]\n  14 -> 28 [size =\"36543488\"]\n  14 -> 29 [size =\"36543488\"]\n  14 -> 31 [size =\"36543488\"]\n  15 [size=\"69442560\", alpha=\"0.04\", expect_size=\"27777024\"] \n  15 -> 20 [size =\"27777024\"]\n  15 -> 22 [size =\"27777024\"]\n  15 -> 24 [size =\"27777024\"]\n  15 -> 27 [size =\"27777024\"]\n  15 -> 32 [size =\"27777024\"]\n  16 [size=\"94115840\", alpha=\"0.08\", expect_size=\"37646336\"] \n  16 -> 18 [size =\"37646336\"]\n  16 -> 19 [size =\"37646336\"]\n  16 -> 20 [size =\"37646336\"]\n  16 -> 26 [size =\"37646336\"]\n  16 -> 27 [size =\"37646336\"]\n  16 -> 31 [size =\"37646336\"]\n  16 -> 33 [size =\"37646336\"]\n  17 [size=\"32770560\", alpha=\"0.06\", expect_size=\"13108224\"] \n  17 -> 18 [size =\"13108224\"]\n  17 -> 19 [size =\"13108224\"]\n  17 -> 20 [size =\"13108224\"]\n  17 -> 27 [size =\"13108224\"]\n  17 -> 31 [size =\"13108224\"]\n  18 [size=\"17295360\", alpha=\"0.09\", expect_size=\"6918144\"] \n  18 -> 35 [size =\"6918144\"]\n  18 -> 36 [size =\"6918144\"]\n  18 -> 38 [size =\"6918144\"]\n  18 -> 40 [size =\"6918144\"]\n  18 -> 42 [size =\"6918144\"]\n  18 -> 43 [size =\"6918144\"]\n  18 -> 45 [size =\"6918144\"]\n  19 [size=\"85181440\", alpha=\"0.11\", expect_size=\"34072576\"] \n  19 -> 35 [size =\"34072576\"]\n  19 -> 38 [size =\"34072576\"]\n  19 -> 40 [size =\"34072576\"]\n  19 -> 42 [size =\"34072576\"]\n  19 -> 43 [size =\"34072576\"]\n  19 -> 45 [size =\"34072576\"]\n  20 [size=\"102492160\", alpha=\"0.08\", expect_size=\"40996864\"] \n  20 -> 37 [size =\"40996864\"]\n  20 -> 40 [size =\"40996864\"]\n  20 -> 45 [size =\"40996864\"]\n  21 [size=\"78620160\", alpha=\"0.02\", expect_size=\"31448064\"] \n  22 [size=\"55767040\", alpha=\"0.13\", expect_size=\"22306816\"] \n  22 -> 45 [size =\"22306816\"]\n  23 [size=\"71191040\", alpha=\"0.14\", expect_size=\"28476416\"] \n  23 -> 37 [size =\"28476416\"]\n  23 -> 38 [size =\"28476416\"]\n  23 -> 42 [size =\"28476416\"]\n  23 -> 43 [size =\"28476416\"]\n  23 -> 45 [size =\"28476416\"]\n  24 [size=\"83420160\", alpha=\"0.10\", expect_size=\"33368064\"] \n  24 -> 35 [size =\"33368064\"]\n  24 -> 40 [size =\"33368064\"]\n  24 -> 42 [size =\"33368064\"]\n  24 -> 43 [size =\"33368064\"]\n  25 [size=\"114775040\", alpha=\"0.13\", expect_size=\"45910016\"] \n  25 -> 42 [size =\"45910016\"]\n  25 -> 43 [size =\"45910016\"]\n  25 -> 45 [size =\"45910016\"]\n  26 [size=\"21946880\", alpha=\"0.16\", expect_size=\"8778752\"] \n  26 -> 35 [size =\"8778752\"]\n  26 -> 36 [size =\"8778752\"]\n  26 -> 43 [size =\"8778752\"]\n  26 -> 44 [size =\"8778752\"]\n  27 [size=\"67952640\", alpha=\"0.19\", expect_size=\"27181056\"] \n  27 -> 34 [size =\"27181056\"]\n  27 -> 38 [size =\"27181056\"]\n  27 -> 40 [size =\"27181056\"]\n  27 -> 41 [size =\"27181056\"]\n  27 -> 45 [size =\"27181056\"]\n  28 [size=\"101483520\", alpha=\"0.07\", expect_size=\"40593408\"] \n  28 -> 35 [size =\"40593408\"]\n  28 -> 39 [size =\"40593408\"]\n  28 -> 40 [size =\"40593408\"]\n  28 -> 41 [size =\"40593408\"]\n  29 [size=\"38801920\", alpha=\"0.02\", expect_size=\"15520768\"] \n  29 -> 35 [size =\"15520768\"]\n  29 -> 40 [size =\"15520768\"]\n  30 [size=\"103989760\", alpha=\"0.18\", expect_size=\"41595904\"] \n  30 -> 34 [size =\"41595904\"]\n  30 -> 35 [size =\"41595904\"]\n  30 -> 36 [size =\"41595904\"]\n  30 -> 37 [size =\"41595904\"]\n  30 -> 40 [size =\"41595904\"]\n  30 -> 43 [size =\"41595904\"]\n  30 -> 44 [size =\"41595904\"]\n  30 -> 45 [size =\"41595904\"]\n  31 [size=\"35028480\", alpha=\"0.06\", expect_size=\"14011392\"] \n  31 -> 35 [size =\"14011392\"]\n  31 -> 36 [size =\"14011392\"]\n  31 -> 37 [size =\"14011392\"]\n  31 -> 37 [size =\"14011392\"]\n  31 -> 40 [size =\"14011392\"]\n  31 -> 41 [size =\"14011392\"]\n  32 [size=\"45486080\", alpha=\"0.06\", expect_size=\"18194432\"] \n  32 -> 34 [size =\"18194432\"]\n  32 -> 35 [size =\"18194432\"]\n  32 -> 40 [size =\"18194432\"]\n  32 -> 42 [size =\"18194432\"]\n  32 -> 43 [size =\"18194432\"]\n  33 [size=\"121397760\", alpha=\"0.15\", expect_size=\"48559104\"] \n  33 -> 37 [size =\"48559104\"]\n  33 -> 42 [size =\"48559104\"]\n  34 [size=\"83624960\", alpha=\"0.18\", expect_size=\"33449984\"] \n  35 [size=\"27517440\", alpha=\"0.09\", expect_size=\"11006976\"] \n  36 [size=\"104243200\", alpha=\"0.15\", expect_size=\"41697280\"] \n  37 [size=\"78353920\", alpha=\"0.04\", expect_size=\"31341568\"] \n  38 [size=\"70264320\", alpha=\"0.14\", expect_size=\"28105728\"] \n  39 [size=\"112829440\", alpha=\"0.16\", expect_size=\"45131776\"] \n  40 [size=\"122846720\", alpha=\"0.13\", expect_size=\"49138688\"] \n  41 [size=\"109918720\", alpha=\"0.01\", expect_size=\"43967488\"] \n  42 [size=\"29104640\", alpha=\"0.16\", expect_size=\"11641856\"] \n  43 [size=\"65914880\", alpha=\"0.01\", expect_size=\"26365952\"] \n  44 [size=\"38182400\", alpha=\"0.18\", expect_size=\"15272960\"] \n  45 [size=\"24153600\", alpha=\"0.13\", expect_size=\"9661440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35159040\", alpha=\"0.11\", expect_size=\"14063616\"] \n  1 -> 2 [size =\"14063616\"]\n  2 [size=\"85396480\", alpha=\"0.02\", expect_size=\"34158592\"] \n  2 -> 3 [size =\"34158592\"]\n  3 [size=\"19223040\", alpha=\"0.08\", expect_size=\"7689216\"] \n  3 -> 4 [size =\"7689216\"]\n  4 [size=\"121384960\", alpha=\"0.08\", expect_size=\"48553984\"] \n  4 -> 5 [size =\"48553984\"]\n  5 [size=\"125143040\", alpha=\"0.06\", expect_size=\"50057216\"] \n  5 -> 6 [size =\"50057216\"]\n  6 [size=\"109516800\", alpha=\"0.19\", expect_size=\"43806720\"] \n  6 -> 7 [size =\"43806720\"]\n  7 [size=\"74995200\", alpha=\"0.19\", expect_size=\"29998080\"] \n  7 -> 8 [size =\"29998080\"]\n  8 [size=\"17118720\", alpha=\"0.08\", expect_size=\"6847488\"] \n  8 -> 9 [size =\"6847488\"]\n  9 [size=\"99325440\", alpha=\"0.09\", expect_size=\"39730176\"] \n  9 -> 10 [size =\"39730176\"]\n  10 [size=\"79864320\", alpha=\"0.03\", expect_size=\"31945728\"] \n  10 -> 11 [size =\"31945728\"]\n  11 [size=\"47767040\", alpha=\"0.18\", expect_size=\"19106816\"] \n  11 -> 12 [size =\"19106816\"]\n  12 [size=\"115246080\", alpha=\"0.18\", expect_size=\"46098432\"] \n  12 -> 13 [size =\"46098432\"]\n  13 [size=\"129208320\", alpha=\"0.01\", expect_size=\"51683328\"] \n  13 -> 14 [size =\"51683328\"]\n  14 [size=\"59845120\", alpha=\"0.07\", expect_size=\"23938048\"] \n  14 -> 15 [size =\"23938048\"]\n  15 [size=\"105600000\", alpha=\"0.09\", expect_size=\"42240000\"] \n  15 -> 16 [size =\"42240000\"]\n  16 [size=\"21987840\", alpha=\"0.01\", expect_size=\"8795136\"] \n  16 -> 17 [size =\"8795136\"]\n  17 [size=\"18457600\", alpha=\"0.20\", expect_size=\"7383040\"] \n  17 -> 18 [size =\"7383040\"]\n  18 [size=\"14571520\", alpha=\"0.14\", expect_size=\"5828608\"] \n  18 -> 19 [size =\"5828608\"]\n  19 [size=\"63188480\", alpha=\"0.15\", expect_size=\"25275392\"] \n  19 -> 20 [size =\"25275392\"]\n  20 [size=\"117073920\", alpha=\"0.15\", expect_size=\"46829568\"] \n  20 -> 21 [size =\"46829568\"]\n  21 [size=\"17351680\", alpha=\"0.18\", expect_size=\"6940672\"] \n  21 -> 22 [size =\"6940672\"]\n  22 [size=\"122222080\", alpha=\"0.13\", expect_size=\"48888832\"] \n  22 -> 23 [size =\"48888832\"]\n  23 [size=\"111872000\", alpha=\"0.09\", expect_size=\"44748800\"] \n  23 -> 24 [size =\"44748800\"]\n  24 [size=\"116646400\", alpha=\"0.04\", expect_size=\"46658560\"] \n  24 -> 25 [size =\"46658560\"]\n  25 [size=\"41758720\", alpha=\"0.17\", expect_size=\"16703488\"] \n  25 -> 26 [size =\"16703488\"]\n  26 [size=\"92357120\", alpha=\"0.07\", expect_size=\"36942848\"] \n  26 -> 27 [size =\"36942848\"]\n  27 [size=\"100400640\", alpha=\"0.08\", expect_size=\"40160256\"] \n  27 -> 28 [size =\"40160256\"]\n  28 [size=\"99348480\", alpha=\"0.09\", expect_size=\"39739392\"] \n  28 -> 29 [size =\"39739392\"]\n  29 [size=\"64709120\", alpha=\"0.05\", expect_size=\"25883648\"] \n  29 -> 30 [size =\"25883648\"]\n  30 [size=\"36907520\", alpha=\"0.12\", expect_size=\"14763008\"] \n  30 -> 31 [size =\"14763008\"]\n  31 [size=\"122741760\", alpha=\"0.05\", expect_size=\"49096704\"] \n  31 -> 32 [size =\"49096704\"]\n  32 [size=\"108339200\", alpha=\"0.15\", expect_size=\"43335680\"] \n  32 -> 33 [size =\"43335680\"]\n  33 [size=\"65986560\", alpha=\"0.05\", expect_size=\"26394624\"] \n  33 -> 34 [size =\"26394624\"]\n  34 [size=\"119769600\", alpha=\"0.03\", expect_size=\"47907840\"] \n  34 -> 35 [size =\"47907840\"]\n  35 [size=\"24069120\", alpha=\"0.17\", expect_size=\"9627648\"] \n  35 -> 36 [size =\"9627648\"]\n  36 [size=\"126853120\", alpha=\"0.12\", expect_size=\"50741248\"] \n  36 -> 37 [size =\"50741248\"]\n  37 [size=\"52674560\", alpha=\"0.08\", expect_size=\"21069824\"] \n  37 -> 38 [size =\"21069824\"]\n  38 [size=\"99351040\", alpha=\"0.04\", expect_size=\"39740416\"] \n  38 -> 39 [size =\"39740416\"]\n  39 [size=\"34967040\", alpha=\"0.09\", expect_size=\"13986816\"] \n  39 -> 40 [size =\"13986816\"]\n  40 [size=\"63710720\", alpha=\"0.11\", expect_size=\"25484288\"] \n  40 -> 41 [size =\"25484288\"]\n  41 [size=\"16404480\", alpha=\"0.14\", expect_size=\"6561792\"] \n  41 -> 42 [size =\"6561792\"]\n  42 [size=\"45678080\", alpha=\"0.16\", expect_size=\"18271232\"] \n  42 -> 43 [size =\"18271232\"]\n  43 [size=\"17743360\", alpha=\"0.14\", expect_size=\"7097344\"] \n  43 -> 44 [size =\"7097344\"]\n  44 [size=\"48701440\", alpha=\"0.10\", expect_size=\"19480576\"] \n  44 -> 45 [size =\"19480576\"]\n  45 [size=\"67325440\", alpha=\"0.11\", expect_size=\"26930176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48101376\", alpha=\"0.13\", expect_size=\"24050688\"] \n  2 [size=\"70782976\", alpha=\"0.02\", expect_size=\"35391488\"] \n  2 -> 4 [size =\"35391488\"]\n  2 -> 5 [size =\"35391488\"]\n  3 [size=\"34002944\", alpha=\"0.10\", expect_size=\"17001472\"] \n  3 -> 4 [size =\"17001472\"]\n  4 [size=\"29290496\", alpha=\"0.06\", expect_size=\"14645248\"] \n  4 -> 6 [size =\"14645248\"]\n  5 [size=\"41564160\", alpha=\"0.15\", expect_size=\"20782080\"] \n  5 -> 7 [size =\"20782080\"]\n  5 -> 8 [size =\"20782080\"]\n  6 [size=\"102475776\", alpha=\"0.13\", expect_size=\"51237888\"] \n  7 [size=\"92860416\", alpha=\"0.01\", expect_size=\"46430208\"] \n  7 -> 9 [size =\"46430208\"]\n  7 -> 11 [size =\"46430208\"]\n  8 [size=\"45418496\", alpha=\"0.01\", expect_size=\"22709248\"] \n  8 -> 10 [size =\"22709248\"]\n  9 [size=\"48726016\", alpha=\"0.06\", expect_size=\"24363008\"] \n  9 -> 13 [size =\"24363008\"]\n  10 [size=\"29988864\", alpha=\"0.03\", expect_size=\"14994432\"] \n  10 -> 12 [size =\"14994432\"]\n  11 [size=\"100032512\", alpha=\"0.03\", expect_size=\"50016256\"] \n  11 -> 14 [size =\"50016256\"]\n  12 [size=\"65087488\", alpha=\"0.09\", expect_size=\"32543744\"] \n  12 -> 16 [size =\"32543744\"]\n  12 -> 17 [size =\"32543744\"]\n  13 [size=\"76101632\", alpha=\"0.12\", expect_size=\"38050816\"] \n  13 -> 15 [size =\"38050816\"]\n  14 [size=\"29038592\", alpha=\"0.07\", expect_size=\"14519296\"] \n  14 -> 15 [size =\"14519296\"]\n  14 -> 16 [size =\"14519296\"]\n  15 [size=\"55611392\", alpha=\"0.03\", expect_size=\"27805696\"] \n  15 -> 18 [size =\"27805696\"]\n  15 -> 19 [size =\"27805696\"]\n  16 [size=\"32923648\", alpha=\"0.17\", expect_size=\"16461824\"] \n  16 -> 19 [size =\"16461824\"]\n  17 [size=\"93087744\", alpha=\"0.14\", expect_size=\"46543872\"] \n  18 [size=\"98144256\", alpha=\"0.14\", expect_size=\"49072128\"] \n  18 -> 20 [size =\"49072128\"]\n  19 [size=\"102621184\", alpha=\"0.16\", expect_size=\"51310592\"] \n  19 -> 21 [size =\"51310592\"]\n  20 [size=\"38041600\", alpha=\"0.13\", expect_size=\"19020800\"] \n  20 -> 23 [size =\"19020800\"]\n  21 [size=\"50264064\", alpha=\"0.17\", expect_size=\"25132032\"] \n  21 -> 22 [size =\"25132032\"]\n  22 [size=\"62953472\", alpha=\"0.14\", expect_size=\"31476736\"] \n  22 -> 24 [size =\"31476736\"]\n  23 [size=\"104476672\", alpha=\"0.16\", expect_size=\"52238336\"] \n  23 -> 25 [size =\"52238336\"]\n  24 [size=\"65804288\", alpha=\"0.02\", expect_size=\"32902144\"] \n  25 [size=\"100585472\", alpha=\"0.15\", expect_size=\"50292736\"] \n  25 -> 26 [size =\"50292736\"]\n  25 -> 27 [size =\"50292736\"]\n  25 -> 28 [size =\"50292736\"]\n  26 [size=\"19886080\", alpha=\"0.07\", expect_size=\"9943040\"] \n  26 -> 30 [size =\"9943040\"]\n  27 [size=\"102461440\", alpha=\"0.17\", expect_size=\"51230720\"] \n  28 [size=\"75323392\", alpha=\"0.14\", expect_size=\"37661696\"] \n  28 -> 29 [size =\"37661696\"]\n  29 [size=\"47507456\", alpha=\"0.19\", expect_size=\"23753728\"] \n  29 -> 31 [size =\"23753728\"]\n  29 -> 32 [size =\"23753728\"]\n  30 [size=\"30003200\", alpha=\"0.08\", expect_size=\"15001600\"] \n  31 [size=\"89571328\", alpha=\"0.16\", expect_size=\"44785664\"] \n  31 -> 33 [size =\"44785664\"]\n  32 [size=\"75087872\", alpha=\"0.16\", expect_size=\"37543936\"] \n  32 -> 34 [size =\"37543936\"]\n  33 [size=\"46852096\", alpha=\"0.10\", expect_size=\"23426048\"] \n  33 -> 35 [size =\"23426048\"]\n  34 [size=\"28379136\", alpha=\"0.07\", expect_size=\"14189568\"] \n  34 -> 36 [size =\"14189568\"]\n  34 -> 37 [size =\"14189568\"]\n  35 [size=\"38473728\", alpha=\"0.14\", expect_size=\"19236864\"] \n  35 -> 40 [size =\"19236864\"]\n  36 [size=\"13848576\", alpha=\"0.06\", expect_size=\"6924288\"] \n  37 [size=\"46489600\", alpha=\"0.16\", expect_size=\"23244800\"] \n  37 -> 38 [size =\"23244800\"]\n  37 -> 39 [size =\"23244800\"]\n  38 [size=\"30031872\", alpha=\"0.04\", expect_size=\"15015936\"] \n  38 -> 43 [size =\"15015936\"]\n  39 [size=\"93782016\", alpha=\"0.11\", expect_size=\"46891008\"] \n  39 -> 41 [size =\"46891008\"]\n  39 -> 42 [size =\"46891008\"]\n  39 -> 43 [size =\"46891008\"]\n  40 [size=\"87234560\", alpha=\"0.05\", expect_size=\"43617280\"] \n  41 [size=\"29894656\", alpha=\"0.07\", expect_size=\"14947328\"] \n  41 -> 44 [size =\"14947328\"]\n  41 -> 45 [size =\"14947328\"]\n  42 [size=\"11313152\", alpha=\"0.19\", expect_size=\"5656576\"] \n  43 [size=\"86091776\", alpha=\"0.12\", expect_size=\"43045888\"] \n  44 [size=\"36730880\", alpha=\"0.17\", expect_size=\"18365440\"] \n  45 [size=\"70529024\", alpha=\"0.01\", expect_size=\"35264512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87943168\", alpha=\"0.17\", expect_size=\"43971584\"] \n  1 -> 9 [size =\"43971584\"]\n  1 -> 11 [size =\"43971584\"]\n  2 [size=\"96774144\", alpha=\"0.06\", expect_size=\"48387072\"] \n  2 -> 10 [size =\"48387072\"]\n  2 -> 11 [size =\"48387072\"]\n  3 [size=\"21911552\", alpha=\"0.05\", expect_size=\"10955776\"] \n  3 -> 8 [size =\"10955776\"]\n  3 -> 9 [size =\"10955776\"]\n  3 -> 11 [size =\"10955776\"]\n  4 [size=\"83945472\", alpha=\"0.05\", expect_size=\"41972736\"] \n  4 -> 9 [size =\"41972736\"]\n  4 -> 9 [size =\"41972736\"]\n  4 -> 11 [size =\"41972736\"]\n  5 [size=\"33095680\", alpha=\"0.07\", expect_size=\"16547840\"] \n  5 -> 9 [size =\"16547840\"]\n  5 -> 11 [size =\"16547840\"]\n  6 [size=\"29288448\", alpha=\"0.08\", expect_size=\"14644224\"] \n  7 [size=\"17989632\", alpha=\"0.08\", expect_size=\"8994816\"] \n  7 -> 9 [size =\"8994816\"]\n  7 -> 11 [size =\"8994816\"]\n  8 [size=\"62275584\", alpha=\"0.14\", expect_size=\"31137792\"] \n  8 -> 12 [size =\"31137792\"]\n  9 [size=\"85739520\", alpha=\"0.19\", expect_size=\"42869760\"] \n  9 -> 12 [size =\"42869760\"]\n  9 -> 13 [size =\"42869760\"]\n  10 [size=\"70389760\", alpha=\"0.09\", expect_size=\"35194880\"] \n  10 -> 12 [size =\"35194880\"]\n  10 -> 14 [size =\"35194880\"]\n  11 [size=\"33169408\", alpha=\"0.09\", expect_size=\"16584704\"] \n  11 -> 12 [size =\"16584704\"]\n  11 -> 15 [size =\"16584704\"]\n  12 [size=\"19562496\", alpha=\"0.07\", expect_size=\"9781248\"] \n  12 -> 17 [size =\"9781248\"]\n  12 -> 18 [size =\"9781248\"]\n  13 [size=\"46110720\", alpha=\"0.00\", expect_size=\"23055360\"] \n  13 -> 17 [size =\"23055360\"]\n  14 [size=\"71307264\", alpha=\"0.07\", expect_size=\"35653632\"] \n  14 -> 16 [size =\"35653632\"]\n  14 -> 17 [size =\"35653632\"]\n  14 -> 18 [size =\"35653632\"]\n  15 [size=\"96806912\", alpha=\"0.11\", expect_size=\"48403456\"] \n  15 -> 17 [size =\"48403456\"]\n  16 [size=\"35860480\", alpha=\"0.13\", expect_size=\"17930240\"] \n  16 -> 20 [size =\"17930240\"]\n  16 -> 21 [size =\"17930240\"]\n  16 -> 22 [size =\"17930240\"]\n  17 [size=\"75069440\", alpha=\"0.12\", expect_size=\"37534720\"] \n  17 -> 21 [size =\"37534720\"]\n  18 [size=\"18737152\", alpha=\"0.05\", expect_size=\"9368576\"] \n  18 -> 19 [size =\"9368576\"]\n  18 -> 21 [size =\"9368576\"]\n  18 -> 22 [size =\"9368576\"]\n  19 [size=\"85395456\", alpha=\"0.01\", expect_size=\"42697728\"] \n  19 -> 24 [size =\"42697728\"]\n  19 -> 25 [size =\"42697728\"]\n  19 -> 27 [size =\"42697728\"]\n  19 -> 29 [size =\"42697728\"]\n  19 -> 30 [size =\"42697728\"]\n  19 -> 30 [size =\"42697728\"]\n  20 [size=\"80781312\", alpha=\"0.02\", expect_size=\"40390656\"] \n  20 -> 23 [size =\"40390656\"]\n  20 -> 24 [size =\"40390656\"]\n  20 -> 25 [size =\"40390656\"]\n  20 -> 26 [size =\"40390656\"]\n  20 -> 27 [size =\"40390656\"]\n  20 -> 28 [size =\"40390656\"]\n  20 -> 30 [size =\"40390656\"]\n  21 [size=\"29417472\", alpha=\"0.00\", expect_size=\"14708736\"] \n  21 -> 25 [size =\"14708736\"]\n  21 -> 26 [size =\"14708736\"]\n  21 -> 28 [size =\"14708736\"]\n  21 -> 29 [size =\"14708736\"]\n  22 [size=\"73451520\", alpha=\"0.17\", expect_size=\"36725760\"] \n  22 -> 24 [size =\"36725760\"]\n  22 -> 25 [size =\"36725760\"]\n  22 -> 26 [size =\"36725760\"]\n  22 -> 27 [size =\"36725760\"]\n  22 -> 28 [size =\"36725760\"]\n  22 -> 30 [size =\"36725760\"]\n  23 [size=\"10788864\", alpha=\"0.16\", expect_size=\"5394432\"] \n  23 -> 31 [size =\"5394432\"]\n  23 -> 33 [size =\"5394432\"]\n  23 -> 34 [size =\"5394432\"]\n  24 [size=\"11730944\", alpha=\"0.10\", expect_size=\"5865472\"] \n  24 -> 31 [size =\"5865472\"]\n  24 -> 33 [size =\"5865472\"]\n  24 -> 34 [size =\"5865472\"]\n  25 [size=\"43317248\", alpha=\"0.09\", expect_size=\"21658624\"] \n  25 -> 31 [size =\"21658624\"]\n  25 -> 32 [size =\"21658624\"]\n  26 [size=\"94367744\", alpha=\"0.12\", expect_size=\"47183872\"] \n  26 -> 32 [size =\"47183872\"]\n  27 [size=\"60725248\", alpha=\"0.17\", expect_size=\"30362624\"] \n  27 -> 31 [size =\"30362624\"]\n  27 -> 34 [size =\"30362624\"]\n  28 [size=\"22878208\", alpha=\"0.13\", expect_size=\"11439104\"] \n  28 -> 32 [size =\"11439104\"]\n  28 -> 34 [size =\"11439104\"]\n  29 [size=\"48076800\", alpha=\"0.05\", expect_size=\"24038400\"] \n  29 -> 34 [size =\"24038400\"]\n  29 -> 34 [size =\"24038400\"]\n  30 [size=\"50571264\", alpha=\"0.09\", expect_size=\"25285632\"] \n  30 -> 33 [size =\"25285632\"]\n  30 -> 34 [size =\"25285632\"]\n  31 [size=\"61143040\", alpha=\"0.18\", expect_size=\"30571520\"] \n  31 -> 36 [size =\"30571520\"]\n  31 -> 40 [size =\"30571520\"]\n  32 [size=\"62879744\", alpha=\"0.09\", expect_size=\"31439872\"] \n  32 -> 37 [size =\"31439872\"]\n  32 -> 38 [size =\"31439872\"]\n  32 -> 40 [size =\"31439872\"]\n  33 [size=\"47702016\", alpha=\"0.08\", expect_size=\"23851008\"] \n  33 -> 36 [size =\"23851008\"]\n  33 -> 40 [size =\"23851008\"]\n  34 [size=\"27031552\", alpha=\"0.20\", expect_size=\"13515776\"] \n  34 -> 35 [size =\"13515776\"]\n  34 -> 38 [size =\"13515776\"]\n  34 -> 39 [size =\"13515776\"]\n  34 -> 40 [size =\"13515776\"]\n  35 [size=\"74334208\", alpha=\"0.09\", expect_size=\"37167104\"] \n  35 -> 41 [size =\"37167104\"]\n  35 -> 45 [size =\"37167104\"]\n  36 [size=\"23474176\", alpha=\"0.05\", expect_size=\"11737088\"] \n  36 -> 43 [size =\"11737088\"]\n  36 -> 44 [size =\"11737088\"]\n  36 -> 45 [size =\"11737088\"]\n  37 [size=\"81999872\", alpha=\"0.14\", expect_size=\"40999936\"] \n  38 [size=\"68671488\", alpha=\"0.04\", expect_size=\"34335744\"] \n  38 -> 43 [size =\"34335744\"]\n  38 -> 44 [size =\"34335744\"]\n  39 [size=\"35280896\", alpha=\"0.11\", expect_size=\"17640448\"] \n  39 -> 41 [size =\"17640448\"]\n  39 -> 43 [size =\"17640448\"]\n  39 -> 44 [size =\"17640448\"]\n  40 [size=\"57083904\", alpha=\"0.12\", expect_size=\"28541952\"] \n  40 -> 41 [size =\"28541952\"]\n  40 -> 42 [size =\"28541952\"]\n  40 -> 43 [size =\"28541952\"]\n  40 -> 44 [size =\"28541952\"]\n  40 -> 45 [size =\"28541952\"]\n  41 [size=\"99612672\", alpha=\"0.18\", expect_size=\"49806336\"] \n  42 [size=\"91179008\", alpha=\"0.17\", expect_size=\"45589504\"] \n  43 [size=\"40863744\", alpha=\"0.15\", expect_size=\"20431872\"] \n  44 [size=\"78661632\", alpha=\"0.15\", expect_size=\"39330816\"] \n  45 [size=\"76652544\", alpha=\"0.01\", expect_size=\"38326272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54748160\", alpha=\"0.02\", expect_size=\"21899264\"] \n  1 -> 33 [size =\"21899264\"]\n  1 -> 36 [size =\"21899264\"]\n  1 -> 36 [size =\"21899264\"]\n  1 -> 39 [size =\"21899264\"]\n  1 -> 39 [size =\"21899264\"]\n  1 -> 40 [size =\"21899264\"]\n  1 -> 42 [size =\"21899264\"]\n  1 -> 43 [size =\"21899264\"]\n  1 -> 45 [size =\"21899264\"]\n  2 [size=\"104872960\", alpha=\"0.12\", expect_size=\"41949184\"] \n  2 -> 33 [size =\"41949184\"]\n  2 -> 39 [size =\"41949184\"]\n  2 -> 40 [size =\"41949184\"]\n  2 -> 43 [size =\"41949184\"]\n  2 -> 45 [size =\"41949184\"]\n  3 [size=\"38499840\", alpha=\"0.11\", expect_size=\"15399936\"] \n  3 -> 33 [size =\"15399936\"]\n  3 -> 34 [size =\"15399936\"]\n  3 -> 36 [size =\"15399936\"]\n  3 -> 39 [size =\"15399936\"]\n  3 -> 40 [size =\"15399936\"]\n  3 -> 42 [size =\"15399936\"]\n  3 -> 43 [size =\"15399936\"]\n  3 -> 45 [size =\"15399936\"]\n  4 [size=\"93091840\", alpha=\"0.09\", expect_size=\"37236736\"] \n  4 -> 33 [size =\"37236736\"]\n  4 -> 34 [size =\"37236736\"]\n  4 -> 36 [size =\"37236736\"]\n  4 -> 37 [size =\"37236736\"]\n  4 -> 38 [size =\"37236736\"]\n  4 -> 39 [size =\"37236736\"]\n  4 -> 40 [size =\"37236736\"]\n  4 -> 41 [size =\"37236736\"]\n  4 -> 42 [size =\"37236736\"]\n  4 -> 43 [size =\"37236736\"]\n  4 -> 45 [size =\"37236736\"]\n  5 [size=\"44083200\", alpha=\"0.11\", expect_size=\"17633280\"] \n  5 -> 33 [size =\"17633280\"]\n  5 -> 34 [size =\"17633280\"]\n  5 -> 36 [size =\"17633280\"]\n  5 -> 39 [size =\"17633280\"]\n  5 -> 40 [size =\"17633280\"]\n  5 -> 42 [size =\"17633280\"]\n  5 -> 43 [size =\"17633280\"]\n  6 [size=\"106670080\", alpha=\"0.03\", expect_size=\"42668032\"] \n  6 -> 33 [size =\"42668032\"]\n  6 -> 34 [size =\"42668032\"]\n  6 -> 35 [size =\"42668032\"]\n  6 -> 36 [size =\"42668032\"]\n  6 -> 38 [size =\"42668032\"]\n  6 -> 39 [size =\"42668032\"]\n  6 -> 40 [size =\"42668032\"]\n  6 -> 42 [size =\"42668032\"]\n  6 -> 43 [size =\"42668032\"]\n  7 [size=\"61706240\", alpha=\"0.02\", expect_size=\"24682496\"] \n  7 -> 33 [size =\"24682496\"]\n  7 -> 35 [size =\"24682496\"]\n  7 -> 35 [size =\"24682496\"]\n  7 -> 36 [size =\"24682496\"]\n  7 -> 39 [size =\"24682496\"]\n  7 -> 40 [size =\"24682496\"]\n  7 -> 41 [size =\"24682496\"]\n  7 -> 42 [size =\"24682496\"]\n  8 [size=\"24048640\", alpha=\"0.11\", expect_size=\"9619456\"] \n  8 -> 33 [size =\"9619456\"]\n  8 -> 35 [size =\"9619456\"]\n  8 -> 36 [size =\"9619456\"]\n  8 -> 36 [size =\"9619456\"]\n  8 -> 39 [size =\"9619456\"]\n  8 -> 40 [size =\"9619456\"]\n  8 -> 42 [size =\"9619456\"]\n  8 -> 42 [size =\"9619456\"]\n  8 -> 45 [size =\"9619456\"]\n  9 [size=\"52080640\", alpha=\"0.03\", expect_size=\"20832256\"] \n  9 -> 33 [size =\"20832256\"]\n  9 -> 35 [size =\"20832256\"]\n  10 [size=\"16053760\", alpha=\"0.01\", expect_size=\"6421504\"] \n  10 -> 33 [size =\"6421504\"]\n  10 -> 34 [size =\"6421504\"]\n  10 -> 39 [size =\"6421504\"]\n  10 -> 40 [size =\"6421504\"]\n  10 -> 41 [size =\"6421504\"]\n  11 [size=\"90127360\", alpha=\"0.16\", expect_size=\"36050944\"] \n  11 -> 33 [size =\"36050944\"]\n  11 -> 35 [size =\"36050944\"]\n  11 -> 40 [size =\"36050944\"]\n  11 -> 41 [size =\"36050944\"]\n  12 [size=\"103226880\", alpha=\"0.07\", expect_size=\"41290752\"] \n  12 -> 33 [size =\"41290752\"]\n  12 -> 35 [size =\"41290752\"]\n  12 -> 37 [size =\"41290752\"]\n  12 -> 39 [size =\"41290752\"]\n  12 -> 43 [size =\"41290752\"]\n  13 [size=\"55144960\", alpha=\"0.06\", expect_size=\"22057984\"] \n  13 -> 33 [size =\"22057984\"]\n  13 -> 34 [size =\"22057984\"]\n  13 -> 35 [size =\"22057984\"]\n  13 -> 37 [size =\"22057984\"]\n  13 -> 43 [size =\"22057984\"]\n  13 -> 44 [size =\"22057984\"]\n  14 [size=\"117322240\", alpha=\"0.11\", expect_size=\"46928896\"] \n  14 -> 33 [size =\"46928896\"]\n  14 -> 34 [size =\"46928896\"]\n  14 -> 37 [size =\"46928896\"]\n  14 -> 40 [size =\"46928896\"]\n  14 -> 41 [size =\"46928896\"]\n  14 -> 43 [size =\"46928896\"]\n  15 [size=\"54753280\", alpha=\"0.12\", expect_size=\"21901312\"] \n  15 -> 33 [size =\"21901312\"]\n  15 -> 36 [size =\"21901312\"]\n  15 -> 40 [size =\"21901312\"]\n  15 -> 41 [size =\"21901312\"]\n  15 -> 42 [size =\"21901312\"]\n  15 -> 43 [size =\"21901312\"]\n  16 [size=\"117647360\", alpha=\"0.15\", expect_size=\"47058944\"] \n  16 -> 33 [size =\"47058944\"]\n  16 -> 35 [size =\"47058944\"]\n  16 -> 36 [size =\"47058944\"]\n  16 -> 37 [size =\"47058944\"]\n  16 -> 41 [size =\"47058944\"]\n  16 -> 42 [size =\"47058944\"]\n  16 -> 43 [size =\"47058944\"]\n  17 [size=\"16614400\", alpha=\"0.12\", expect_size=\"6645760\"] \n  17 -> 33 [size =\"6645760\"]\n  17 -> 36 [size =\"6645760\"]\n  17 -> 38 [size =\"6645760\"]\n  17 -> 39 [size =\"6645760\"]\n  17 -> 42 [size =\"6645760\"]\n  17 -> 42 [size =\"6645760\"]\n  17 -> 43 [size =\"6645760\"]\n  18 [size=\"29122560\", alpha=\"0.05\", expect_size=\"11649024\"] \n  18 -> 33 [size =\"11649024\"]\n  18 -> 34 [size =\"11649024\"]\n  18 -> 35 [size =\"11649024\"]\n  18 -> 36 [size =\"11649024\"]\n  18 -> 37 [size =\"11649024\"]\n  18 -> 42 [size =\"11649024\"]\n  18 -> 43 [size =\"11649024\"]\n  19 [size=\"94504960\", alpha=\"0.04\", expect_size=\"37801984\"] \n  19 -> 35 [size =\"37801984\"]\n  19 -> 36 [size =\"37801984\"]\n  19 -> 37 [size =\"37801984\"]\n  19 -> 39 [size =\"37801984\"]\n  19 -> 41 [size =\"37801984\"]\n  19 -> 42 [size =\"37801984\"]\n  19 -> 43 [size =\"37801984\"]\n  20 [size=\"110103040\", alpha=\"0.10\", expect_size=\"44041216\"] \n  20 -> 33 [size =\"44041216\"]\n  20 -> 36 [size =\"44041216\"]\n  20 -> 37 [size =\"44041216\"]\n  20 -> 39 [size =\"44041216\"]\n  20 -> 40 [size =\"44041216\"]\n  20 -> 41 [size =\"44041216\"]\n  20 -> 42 [size =\"44041216\"]\n  20 -> 43 [size =\"44041216\"]\n  20 -> 45 [size =\"44041216\"]\n  21 [size=\"117184000\", alpha=\"0.02\", expect_size=\"46873600\"] \n  21 -> 36 [size =\"46873600\"]\n  21 -> 36 [size =\"46873600\"]\n  21 -> 37 [size =\"46873600\"]\n  21 -> 38 [size =\"46873600\"]\n  21 -> 39 [size =\"46873600\"]\n  21 -> 40 [size =\"46873600\"]\n  21 -> 41 [size =\"46873600\"]\n  21 -> 42 [size =\"46873600\"]\n  21 -> 43 [size =\"46873600\"]\n  21 -> 44 [size =\"46873600\"]\n  21 -> 45 [size =\"46873600\"]\n  22 [size=\"92380160\", alpha=\"0.10\", expect_size=\"36952064\"] \n  22 -> 33 [size =\"36952064\"]\n  22 -> 34 [size =\"36952064\"]\n  22 -> 36 [size =\"36952064\"]\n  22 -> 37 [size =\"36952064\"]\n  22 -> 40 [size =\"36952064\"]\n  22 -> 43 [size =\"36952064\"]\n  22 -> 45 [size =\"36952064\"]\n  23 [size=\"14033920\", alpha=\"0.03\", expect_size=\"5613568\"] \n  23 -> 35 [size =\"5613568\"]\n  23 -> 36 [size =\"5613568\"]\n  23 -> 36 [size =\"5613568\"]\n  23 -> 37 [size =\"5613568\"]\n  23 -> 40 [size =\"5613568\"]\n  23 -> 41 [size =\"5613568\"]\n  23 -> 43 [size =\"5613568\"]\n  24 [size=\"52200960\", alpha=\"0.09\", expect_size=\"20880384\"] \n  24 -> 36 [size =\"20880384\"]\n  24 -> 37 [size =\"20880384\"]\n  24 -> 39 [size =\"20880384\"]\n  24 -> 40 [size =\"20880384\"]\n  24 -> 40 [size =\"20880384\"]\n  24 -> 41 [size =\"20880384\"]\n  24 -> 43 [size =\"20880384\"]\n  24 -> 44 [size =\"20880384\"]\n  25 [size=\"115640320\", alpha=\"0.20\", expect_size=\"46256128\"] \n  25 -> 33 [size =\"46256128\"]\n  25 -> 35 [size =\"46256128\"]\n  25 -> 36 [size =\"46256128\"]\n  25 -> 37 [size =\"46256128\"]\n  25 -> 40 [size =\"46256128\"]\n  25 -> 42 [size =\"46256128\"]\n  25 -> 43 [size =\"46256128\"]\n  25 -> 45 [size =\"46256128\"]\n  26 [size=\"65505280\", alpha=\"0.07\", expect_size=\"26202112\"] \n  26 -> 33 [size =\"26202112\"]\n  26 -> 35 [size =\"26202112\"]\n  26 -> 36 [size =\"26202112\"]\n  26 -> 37 [size =\"26202112\"]\n  26 -> 39 [size =\"26202112\"]\n  26 -> 40 [size =\"26202112\"]\n  26 -> 41 [size =\"26202112\"]\n  26 -> 42 [size =\"26202112\"]\n  26 -> 43 [size =\"26202112\"]\n  27 [size=\"34406400\", alpha=\"0.02\", expect_size=\"13762560\"] \n  27 -> 33 [size =\"13762560\"]\n  27 -> 35 [size =\"13762560\"]\n  27 -> 36 [size =\"13762560\"]\n  27 -> 37 [size =\"13762560\"]\n  27 -> 39 [size =\"13762560\"]\n  27 -> 40 [size =\"13762560\"]\n  27 -> 42 [size =\"13762560\"]\n  27 -> 42 [size =\"13762560\"]\n  27 -> 43 [size =\"13762560\"]\n  28 [size=\"102891520\", alpha=\"0.19\", expect_size=\"41156608\"] \n  28 -> 33 [size =\"41156608\"]\n  28 -> 36 [size =\"41156608\"]\n  28 -> 37 [size =\"41156608\"]\n  28 -> 37 [size =\"41156608\"]\n  28 -> 40 [size =\"41156608\"]\n  28 -> 40 [size =\"41156608\"]\n  28 -> 42 [size =\"41156608\"]\n  28 -> 43 [size =\"41156608\"]\n  28 -> 43 [size =\"41156608\"]\n  28 -> 44 [size =\"41156608\"]\n  29 [size=\"130567680\", alpha=\"0.03\", expect_size=\"52227072\"] \n  29 -> 33 [size =\"52227072\"]\n  29 -> 34 [size =\"52227072\"]\n  29 -> 35 [size =\"52227072\"]\n  29 -> 36 [size =\"52227072\"]\n  29 -> 39 [size =\"52227072\"]\n  29 -> 40 [size =\"52227072\"]\n  29 -> 42 [size =\"52227072\"]\n  29 -> 43 [size =\"52227072\"]\n  29 -> 44 [size =\"52227072\"]\n  30 [size=\"36221440\", alpha=\"0.08\", expect_size=\"14488576\"] \n  30 -> 33 [size =\"14488576\"]\n  30 -> 34 [size =\"14488576\"]\n  30 -> 35 [size =\"14488576\"]\n  30 -> 36 [size =\"14488576\"]\n  30 -> 39 [size =\"14488576\"]\n  30 -> 40 [size =\"14488576\"]\n  30 -> 42 [size =\"14488576\"]\n  30 -> 43 [size =\"14488576\"]\n  30 -> 44 [size =\"14488576\"]\n  30 -> 45 [size =\"14488576\"]\n  31 [size=\"92303360\", alpha=\"0.05\", expect_size=\"36921344\"] \n  31 -> 33 [size =\"36921344\"]\n  31 -> 34 [size =\"36921344\"]\n  31 -> 35 [size =\"36921344\"]\n  31 -> 36 [size =\"36921344\"]\n  31 -> 39 [size =\"36921344\"]\n  31 -> 40 [size =\"36921344\"]\n  31 -> 41 [size =\"36921344\"]\n  31 -> 43 [size =\"36921344\"]\n  32 [size=\"104524800\", alpha=\"0.18\", expect_size=\"41809920\"] \n  32 -> 33 [size =\"41809920\"]\n  32 -> 34 [size =\"41809920\"]\n  32 -> 36 [size =\"41809920\"]\n  32 -> 37 [size =\"41809920\"]\n  32 -> 39 [size =\"41809920\"]\n  32 -> 40 [size =\"41809920\"]\n  32 -> 42 [size =\"41809920\"]\n  32 -> 43 [size =\"41809920\"]\n  32 -> 45 [size =\"41809920\"]\n  33 [size=\"46689280\", alpha=\"0.17\", expect_size=\"18675712\"] \n  34 [size=\"62159360\", alpha=\"0.15\", expect_size=\"24863744\"] \n  35 [size=\"112949760\", alpha=\"0.19\", expect_size=\"45179904\"] \n  36 [size=\"112076800\", alpha=\"0.02\", expect_size=\"44830720\"] \n  37 [size=\"35138560\", alpha=\"0.04\", expect_size=\"14055424\"] \n  38 [size=\"48701440\", alpha=\"0.10\", expect_size=\"19480576\"] \n  39 [size=\"45739520\", alpha=\"0.09\", expect_size=\"18295808\"] \n  40 [size=\"65228800\", alpha=\"0.05\", expect_size=\"26091520\"] \n  41 [size=\"110118400\", alpha=\"0.18\", expect_size=\"44047360\"] \n  42 [size=\"21501440\", alpha=\"0.05\", expect_size=\"8600576\"] \n  43 [size=\"125427200\", alpha=\"0.12\", expect_size=\"50170880\"] \n  44 [size=\"110041600\", alpha=\"0.06\", expect_size=\"44016640\"] \n  45 [size=\"79562240\", alpha=\"0.17\", expect_size=\"31824896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135608320\", alpha=\"0.15\", expect_size=\"40682496\"] \n  1 -> 2 [size =\"40682496\"]\n  2 [size=\"107277653\", alpha=\"0.15\", expect_size=\"32183296\"] \n  2 -> 3 [size =\"32183296\"]\n  3 [size=\"115855360\", alpha=\"0.05\", expect_size=\"34756608\"] \n  3 -> 4 [size =\"34756608\"]\n  4 [size=\"168137387\", alpha=\"0.05\", expect_size=\"50441216\"] \n  4 -> 5 [size =\"50441216\"]\n  5 [size=\"128314027\", alpha=\"0.01\", expect_size=\"38494208\"] \n  5 -> 6 [size =\"38494208\"]\n  6 [size=\"151739733\", alpha=\"0.01\", expect_size=\"45521920\"] \n  6 -> 7 [size =\"45521920\"]\n  7 [size=\"167830187\", alpha=\"0.07\", expect_size=\"50349056\"] \n  7 -> 8 [size =\"50349056\"]\n  8 [size=\"23207253\", alpha=\"0.19\", expect_size=\"6962176\"] \n  8 -> 9 [size =\"6962176\"]\n  9 [size=\"143063040\", alpha=\"0.14\", expect_size=\"42918912\"] \n  9 -> 10 [size =\"42918912\"]\n  10 [size=\"34041173\", alpha=\"0.10\", expect_size=\"10212352\"] \n  10 -> 11 [size =\"10212352\"]\n  11 [size=\"172247040\", alpha=\"0.04\", expect_size=\"51674112\"] \n  11 -> 12 [size =\"51674112\"]\n  12 [size=\"136625493\", alpha=\"0.09\", expect_size=\"40987648\"] \n  12 -> 13 [size =\"40987648\"]\n  13 [size=\"95583573\", alpha=\"0.04\", expect_size=\"28675072\"] \n  13 -> 14 [size =\"28675072\"]\n  14 [size=\"134707200\", alpha=\"0.10\", expect_size=\"40412160\"] \n  14 -> 15 [size =\"40412160\"]\n  15 [size=\"18220373\", alpha=\"0.04\", expect_size=\"5466112\"] \n  15 -> 16 [size =\"5466112\"]\n  16 [size=\"29873493\", alpha=\"0.08\", expect_size=\"8962048\"] \n  16 -> 17 [size =\"8962048\"]\n  17 [size=\"35048107\", alpha=\"0.11\", expect_size=\"10514432\"] \n  17 -> 18 [size =\"10514432\"]\n  18 [size=\"91839147\", alpha=\"0.08\", expect_size=\"27551744\"] \n  18 -> 19 [size =\"27551744\"]\n  19 [size=\"85032960\", alpha=\"0.05\", expect_size=\"25509888\"] \n  19 -> 20 [size =\"25509888\"]\n  20 [size=\"39215787\", alpha=\"0.12\", expect_size=\"11764736\"] \n  20 -> 21 [size =\"11764736\"]\n  21 [size=\"114172587\", alpha=\"0.14\", expect_size=\"34251776\"] \n  21 -> 22 [size =\"34251776\"]\n  22 [size=\"145599147\", alpha=\"0.07\", expect_size=\"43679744\"] \n  22 -> 23 [size =\"43679744\"]\n  23 [size=\"62177280\", alpha=\"0.13\", expect_size=\"18653184\"] \n  23 -> 24 [size =\"18653184\"]\n  24 [size=\"92156587\", alpha=\"0.18\", expect_size=\"27646976\"] \n  24 -> 25 [size =\"27646976\"]\n  25 [size=\"174431573\", alpha=\"0.17\", expect_size=\"52329472\"] \n  25 -> 26 [size =\"52329472\"]\n  26 [size=\"50182827\", alpha=\"0.13\", expect_size=\"15054848\"] \n  26 -> 27 [size =\"15054848\"]\n  27 [size=\"113343147\", alpha=\"0.09\", expect_size=\"34002944\"] \n  27 -> 28 [size =\"34002944\"]\n  28 [size=\"43400533\", alpha=\"0.05\", expect_size=\"13020160\"] \n  28 -> 29 [size =\"13020160\"]\n  29 [size=\"104738133\", alpha=\"0.17\", expect_size=\"31421440\"] \n  29 -> 30 [size =\"31421440\"]\n  30 [size=\"141042347\", alpha=\"0.11\", expect_size=\"42312704\"] \n  30 -> 31 [size =\"42312704\"]\n  31 [size=\"74724693\", alpha=\"0.05\", expect_size=\"22417408\"] \n  31 -> 32 [size =\"22417408\"]\n  32 [size=\"23920640\", alpha=\"0.14\", expect_size=\"7176192\"] \n  32 -> 33 [size =\"7176192\"]\n  33 [size=\"78431573\", alpha=\"0.13\", expect_size=\"23529472\"] \n  33 -> 34 [size =\"23529472\"]\n  34 [size=\"22063787\", alpha=\"0.06\", expect_size=\"6619136\"] \n  34 -> 35 [size =\"6619136\"]\n  35 [size=\"162771627\", alpha=\"0.00\", expect_size=\"48831488\"] \n  35 -> 36 [size =\"48831488\"]\n  36 [size=\"139526827\", alpha=\"0.16\", expect_size=\"41858048\"] \n  36 -> 37 [size =\"41858048\"]\n  37 [size=\"86599680\", alpha=\"0.14\", expect_size=\"25979904\"] \n  37 -> 38 [size =\"25979904\"]\n  38 [size=\"154344107\", alpha=\"0.01\", expect_size=\"46303232\"] \n  38 -> 39 [size =\"46303232\"]\n  39 [size=\"33921707\", alpha=\"0.17\", expect_size=\"10176512\"] \n  39 -> 40 [size =\"10176512\"]\n  40 [size=\"165488640\", alpha=\"0.15\", expect_size=\"49646592\"] \n  40 -> 41 [size =\"49646592\"]\n  41 [size=\"93757440\", alpha=\"0.06\", expect_size=\"28127232\"] \n  41 -> 42 [size =\"28127232\"]\n  42 [size=\"130781867\", alpha=\"0.13\", expect_size=\"39234560\"] \n  42 -> 43 [size =\"39234560\"]\n  43 [size=\"81141760\", alpha=\"0.06\", expect_size=\"24342528\"] \n  43 -> 44 [size =\"24342528\"]\n  44 [size=\"22944427\", alpha=\"0.08\", expect_size=\"6883328\"] \n  44 -> 45 [size =\"6883328\"]\n  45 [size=\"73427627\", alpha=\"0.10\", expect_size=\"22028288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102481920\", alpha=\"0.06\", expect_size=\"40992768\"] \n  1 -> 2 [size =\"40992768\"]\n  2 [size=\"60426240\", alpha=\"0.12\", expect_size=\"24170496\"] \n  2 -> 3 [size =\"24170496\"]\n  3 [size=\"50918400\", alpha=\"0.12\", expect_size=\"20367360\"] \n  3 -> 4 [size =\"20367360\"]\n  4 [size=\"14589440\", alpha=\"0.11\", expect_size=\"5835776\"] \n  4 -> 5 [size =\"5835776\"]\n  5 [size=\"109076480\", alpha=\"0.07\", expect_size=\"43630592\"] \n  5 -> 6 [size =\"43630592\"]\n  6 [size=\"76654080\", alpha=\"0.01\", expect_size=\"30661632\"] \n  6 -> 7 [size =\"30661632\"]\n  7 [size=\"46696960\", alpha=\"0.05\", expect_size=\"18678784\"] \n  7 -> 8 [size =\"18678784\"]\n  8 [size=\"34567680\", alpha=\"0.11\", expect_size=\"13827072\"] \n  8 -> 9 [size =\"13827072\"]\n  9 [size=\"100305920\", alpha=\"0.08\", expect_size=\"40122368\"] \n  9 -> 10 [size =\"40122368\"]\n  10 [size=\"59476480\", alpha=\"0.16\", expect_size=\"23790592\"] \n  10 -> 11 [size =\"23790592\"]\n  11 [size=\"58304000\", alpha=\"0.09\", expect_size=\"23321600\"] \n  11 -> 12 [size =\"23321600\"]\n  12 [size=\"93665280\", alpha=\"0.12\", expect_size=\"37466112\"] \n  12 -> 13 [size =\"37466112\"]\n  13 [size=\"44464640\", alpha=\"0.15\", expect_size=\"17785856\"] \n  13 -> 14 [size =\"17785856\"]\n  14 [size=\"117253120\", alpha=\"0.13\", expect_size=\"46901248\"] \n  14 -> 15 [size =\"46901248\"]\n  15 [size=\"62597120\", alpha=\"0.08\", expect_size=\"25038848\"] \n  15 -> 16 [size =\"25038848\"]\n  16 [size=\"101406720\", alpha=\"0.15\", expect_size=\"40562688\"] \n  16 -> 17 [size =\"40562688\"]\n  17 [size=\"108487680\", alpha=\"0.04\", expect_size=\"43395072\"] \n  17 -> 18 [size =\"43395072\"]\n  18 [size=\"21665280\", alpha=\"0.20\", expect_size=\"8666112\"] \n  18 -> 19 [size =\"8666112\"]\n  19 [size=\"85844480\", alpha=\"0.10\", expect_size=\"34337792\"] \n  19 -> 20 [size =\"34337792\"]\n  20 [size=\"15964160\", alpha=\"0.12\", expect_size=\"6385664\"] \n  20 -> 21 [size =\"6385664\"]\n  21 [size=\"110097920\", alpha=\"0.09\", expect_size=\"44039168\"] \n  21 -> 22 [size =\"44039168\"]\n  22 [size=\"44835840\", alpha=\"0.14\", expect_size=\"17934336\"] \n  22 -> 23 [size =\"17934336\"]\n  23 [size=\"117237760\", alpha=\"0.06\", expect_size=\"46895104\"] \n  23 -> 24 [size =\"46895104\"]\n  24 [size=\"88849920\", alpha=\"0.18\", expect_size=\"35539968\"] \n  24 -> 25 [size =\"35539968\"]\n  25 [size=\"50099200\", alpha=\"0.05\", expect_size=\"20039680\"] \n  25 -> 26 [size =\"20039680\"]\n  26 [size=\"100037120\", alpha=\"0.04\", expect_size=\"40014848\"] \n  26 -> 27 [size =\"40014848\"]\n  27 [size=\"72724480\", alpha=\"0.09\", expect_size=\"29089792\"] \n  27 -> 28 [size =\"29089792\"]\n  28 [size=\"93762560\", alpha=\"0.17\", expect_size=\"37505024\"] \n  28 -> 29 [size =\"37505024\"]\n  29 [size=\"91015680\", alpha=\"0.20\", expect_size=\"36406272\"] \n  29 -> 30 [size =\"36406272\"]\n  30 [size=\"34068480\", alpha=\"0.10\", expect_size=\"13627392\"] \n  30 -> 31 [size =\"13627392\"]\n  31 [size=\"106183680\", alpha=\"0.09\", expect_size=\"42473472\"] \n  31 -> 32 [size =\"42473472\"]\n  32 [size=\"42849280\", alpha=\"0.01\", expect_size=\"17139712\"] \n  32 -> 33 [size =\"17139712\"]\n  33 [size=\"127308800\", alpha=\"0.18\", expect_size=\"50923520\"] \n  33 -> 34 [size =\"50923520\"]\n  34 [size=\"43484160\", alpha=\"0.13\", expect_size=\"17393664\"] \n  34 -> 35 [size =\"17393664\"]\n  35 [size=\"28787200\", alpha=\"0.17\", expect_size=\"11514880\"] \n  35 -> 36 [size =\"11514880\"]\n  36 [size=\"61222400\", alpha=\"0.15\", expect_size=\"24488960\"] \n  36 -> 37 [size =\"24488960\"]\n  37 [size=\"86371840\", alpha=\"0.10\", expect_size=\"34548736\"] \n  37 -> 38 [size =\"34548736\"]\n  38 [size=\"19860480\", alpha=\"0.06\", expect_size=\"7944192\"] \n  38 -> 39 [size =\"7944192\"]\n  39 [size=\"119080960\", alpha=\"0.14\", expect_size=\"47632384\"] \n  39 -> 40 [size =\"47632384\"]\n  40 [size=\"117337600\", alpha=\"0.03\", expect_size=\"46935040\"] \n  40 -> 41 [size =\"46935040\"]\n  41 [size=\"61004800\", alpha=\"0.08\", expect_size=\"24401920\"] \n  41 -> 42 [size =\"24401920\"]\n  42 [size=\"113241600\", alpha=\"0.19\", expect_size=\"45296640\"] \n  42 -> 43 [size =\"45296640\"]\n  43 [size=\"118679040\", alpha=\"0.07\", expect_size=\"47471616\"] \n  43 -> 44 [size =\"47471616\"]\n  44 [size=\"108677120\", alpha=\"0.08\", expect_size=\"43470848\"] \n  44 -> 45 [size =\"43470848\"]\n  45 [size=\"69414400\", alpha=\"0.16\", expect_size=\"27765760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68321280\", alpha=\"0.15\", expect_size=\"34160640\"] \n  1 -> 20 [size =\"34160640\"]\n  1 -> 25 [size =\"34160640\"]\n  1 -> 26 [size =\"34160640\"]\n  1 -> 27 [size =\"34160640\"]\n  1 -> 31 [size =\"34160640\"]\n  1 -> 32 [size =\"34160640\"]\n  1 -> 33 [size =\"34160640\"]\n  1 -> 37 [size =\"34160640\"]\n  1 -> 38 [size =\"34160640\"]\n  1 -> 42 [size =\"34160640\"]\n  1 -> 44 [size =\"34160640\"]\n  2 [size=\"38584320\", alpha=\"0.09\", expect_size=\"19292160\"] \n  2 -> 21 [size =\"19292160\"]\n  2 -> 22 [size =\"19292160\"]\n  2 -> 23 [size =\"19292160\"]\n  2 -> 26 [size =\"19292160\"]\n  2 -> 29 [size =\"19292160\"]\n  2 -> 33 [size =\"19292160\"]\n  2 -> 34 [size =\"19292160\"]\n  2 -> 35 [size =\"19292160\"]\n  2 -> 40 [size =\"19292160\"]\n  3 [size=\"81504256\", alpha=\"0.03\", expect_size=\"40752128\"] \n  3 -> 24 [size =\"40752128\"]\n  3 -> 31 [size =\"40752128\"]\n  3 -> 35 [size =\"40752128\"]\n  4 [size=\"41549824\", alpha=\"0.04\", expect_size=\"20774912\"] \n  4 -> 24 [size =\"20774912\"]\n  4 -> 33 [size =\"20774912\"]\n  5 [size=\"74428416\", alpha=\"0.03\", expect_size=\"37214208\"] \n  5 -> 20 [size =\"37214208\"]\n  5 -> 23 [size =\"37214208\"]\n  5 -> 32 [size =\"37214208\"]\n  5 -> 33 [size =\"37214208\"]\n  5 -> 35 [size =\"37214208\"]\n  5 -> 40 [size =\"37214208\"]\n  5 -> 41 [size =\"37214208\"]\n  5 -> 42 [size =\"37214208\"]\n  5 -> 44 [size =\"37214208\"]\n  6 [size=\"48689152\", alpha=\"0.11\", expect_size=\"24344576\"] \n  6 -> 20 [size =\"24344576\"]\n  6 -> 29 [size =\"24344576\"]\n  6 -> 34 [size =\"24344576\"]\n  6 -> 41 [size =\"24344576\"]\n  6 -> 42 [size =\"24344576\"]\n  6 -> 44 [size =\"24344576\"]\n  7 [size=\"18751488\", alpha=\"0.19\", expect_size=\"9375744\"] \n  7 -> 23 [size =\"9375744\"]\n  7 -> 32 [size =\"9375744\"]\n  7 -> 33 [size =\"9375744\"]\n  7 -> 34 [size =\"9375744\"]\n  7 -> 39 [size =\"9375744\"]\n  8 [size=\"79065088\", alpha=\"0.04\", expect_size=\"39532544\"] \n  8 -> 21 [size =\"39532544\"]\n  8 -> 24 [size =\"39532544\"]\n  8 -> 29 [size =\"39532544\"]\n  8 -> 31 [size =\"39532544\"]\n  8 -> 33 [size =\"39532544\"]\n  8 -> 34 [size =\"39532544\"]\n  8 -> 37 [size =\"39532544\"]\n  9 [size=\"79591424\", alpha=\"0.07\", expect_size=\"39795712\"] \n  9 -> 20 [size =\"39795712\"]\n  9 -> 23 [size =\"39795712\"]\n  9 -> 26 [size =\"39795712\"]\n  9 -> 31 [size =\"39795712\"]\n  9 -> 32 [size =\"39795712\"]\n  9 -> 33 [size =\"39795712\"]\n  9 -> 36 [size =\"39795712\"]\n  9 -> 39 [size =\"39795712\"]\n  10 [size=\"88582144\", alpha=\"0.14\", expect_size=\"44291072\"] \n  10 -> 20 [size =\"44291072\"]\n  10 -> 34 [size =\"44291072\"]\n  10 -> 39 [size =\"44291072\"]\n  10 -> 43 [size =\"44291072\"]\n  11 [size=\"48728064\", alpha=\"0.04\", expect_size=\"24364032\"] \n  11 -> 20 [size =\"24364032\"]\n  11 -> 23 [size =\"24364032\"]\n  11 -> 24 [size =\"24364032\"]\n  11 -> 29 [size =\"24364032\"]\n  11 -> 35 [size =\"24364032\"]\n  11 -> 36 [size =\"24364032\"]\n  11 -> 40 [size =\"24364032\"]\n  11 -> 44 [size =\"24364032\"]\n  12 [size=\"26679296\", alpha=\"0.19\", expect_size=\"13339648\"] \n  12 -> 22 [size =\"13339648\"]\n  12 -> 23 [size =\"13339648\"]\n  12 -> 26 [size =\"13339648\"]\n  12 -> 28 [size =\"13339648\"]\n  12 -> 29 [size =\"13339648\"]\n  12 -> 37 [size =\"13339648\"]\n  12 -> 40 [size =\"13339648\"]\n  12 -> 43 [size =\"13339648\"]\n  13 [size=\"70656000\", alpha=\"0.12\", expect_size=\"35328000\"] \n  13 -> 24 [size =\"35328000\"]\n  13 -> 27 [size =\"35328000\"]\n  13 -> 32 [size =\"35328000\"]\n  13 -> 37 [size =\"35328000\"]\n  13 -> 39 [size =\"35328000\"]\n  13 -> 40 [size =\"35328000\"]\n  14 [size=\"83568640\", alpha=\"0.01\", expect_size=\"41784320\"] \n  14 -> 20 [size =\"41784320\"]\n  14 -> 29 [size =\"41784320\"]\n  14 -> 30 [size =\"41784320\"]\n  14 -> 37 [size =\"41784320\"]\n  14 -> 39 [size =\"41784320\"]\n  14 -> 42 [size =\"41784320\"]\n  14 -> 43 [size =\"41784320\"]\n  15 [size=\"101427200\", alpha=\"0.04\", expect_size=\"50713600\"] \n  15 -> 20 [size =\"50713600\"]\n  15 -> 22 [size =\"50713600\"]\n  15 -> 26 [size =\"50713600\"]\n  15 -> 34 [size =\"50713600\"]\n  15 -> 37 [size =\"50713600\"]\n  15 -> 39 [size =\"50713600\"]\n  15 -> 40 [size =\"50713600\"]\n  15 -> 41 [size =\"50713600\"]\n  15 -> 44 [size =\"50713600\"]\n  16 [size=\"23511040\", alpha=\"0.06\", expect_size=\"11755520\"] \n  16 -> 22 [size =\"11755520\"]\n  16 -> 34 [size =\"11755520\"]\n  16 -> 37 [size =\"11755520\"]\n  16 -> 44 [size =\"11755520\"]\n  17 [size=\"77006848\", alpha=\"0.05\", expect_size=\"38503424\"] \n  17 -> 21 [size =\"38503424\"]\n  17 -> 24 [size =\"38503424\"]\n  17 -> 29 [size =\"38503424\"]\n  17 -> 33 [size =\"38503424\"]\n  17 -> 37 [size =\"38503424\"]\n  17 -> 41 [size =\"38503424\"]\n  17 -> 44 [size =\"38503424\"]\n  18 [size=\"71104512\", alpha=\"0.13\", expect_size=\"35552256\"] \n  18 -> 21 [size =\"35552256\"]\n  18 -> 24 [size =\"35552256\"]\n  18 -> 26 [size =\"35552256\"]\n  18 -> 27 [size =\"35552256\"]\n  18 -> 34 [size =\"35552256\"]\n  18 -> 40 [size =\"35552256\"]\n  18 -> 42 [size =\"35552256\"]\n  18 -> 43 [size =\"35552256\"]\n  18 -> 44 [size =\"35552256\"]\n  19 [size=\"92260352\", alpha=\"0.12\", expect_size=\"46130176\"] \n  19 -> 20 [size =\"46130176\"]\n  19 -> 26 [size =\"46130176\"]\n  19 -> 34 [size =\"46130176\"]\n  19 -> 42 [size =\"46130176\"]\n  19 -> 44 [size =\"46130176\"]\n  20 [size=\"31576064\", alpha=\"0.15\", expect_size=\"15788032\"] \n  20 -> 45 [size =\"15788032\"]\n  21 [size=\"98060288\", alpha=\"0.10\", expect_size=\"49030144\"] \n  21 -> 45 [size =\"49030144\"]\n  22 [size=\"24840192\", alpha=\"0.10\", expect_size=\"12420096\"] \n  22 -> 45 [size =\"12420096\"]\n  23 [size=\"22450176\", alpha=\"0.06\", expect_size=\"11225088\"] \n  23 -> 45 [size =\"11225088\"]\n  24 [size=\"78184448\", alpha=\"0.09\", expect_size=\"39092224\"] \n  24 -> 45 [size =\"39092224\"]\n  25 [size=\"81068032\", alpha=\"0.05\", expect_size=\"40534016\"] \n  26 [size=\"100286464\", alpha=\"0.09\", expect_size=\"50143232\"] \n  27 [size=\"35217408\", alpha=\"0.15\", expect_size=\"17608704\"] \n  28 [size=\"58820608\", alpha=\"0.15\", expect_size=\"29410304\"] \n  28 -> 45 [size =\"29410304\"]\n  29 [size=\"23719936\", alpha=\"0.10\", expect_size=\"11859968\"] \n  30 [size=\"80801792\", alpha=\"0.02\", expect_size=\"40400896\"] \n  31 [size=\"55961600\", alpha=\"0.02\", expect_size=\"27980800\"] \n  32 [size=\"101408768\", alpha=\"0.05\", expect_size=\"50704384\"] \n  33 [size=\"56498176\", alpha=\"0.01\", expect_size=\"28249088\"] \n  33 -> 45 [size =\"28249088\"]\n  34 [size=\"86620160\", alpha=\"0.12\", expect_size=\"43310080\"] \n  34 -> 45 [size =\"43310080\"]\n  35 [size=\"34101248\", alpha=\"0.03\", expect_size=\"17050624\"] \n  35 -> 45 [size =\"17050624\"]\n  36 [size=\"57251840\", alpha=\"0.16\", expect_size=\"28625920\"] \n  37 [size=\"99905536\", alpha=\"0.04\", expect_size=\"49952768\"] \n  37 -> 45 [size =\"49952768\"]\n  38 [size=\"75956224\", alpha=\"0.04\", expect_size=\"37978112\"] \n  38 -> 45 [size =\"37978112\"]\n  39 [size=\"53987328\", alpha=\"0.02\", expect_size=\"26993664\"] \n  40 [size=\"103104512\", alpha=\"0.04\", expect_size=\"51552256\"] \n  41 [size=\"18288640\", alpha=\"0.05\", expect_size=\"9144320\"] \n  42 [size=\"26525696\", alpha=\"0.09\", expect_size=\"13262848\"] \n  43 [size=\"49639424\", alpha=\"0.15\", expect_size=\"24819712\"] \n  43 -> 45 [size =\"24819712\"]\n  44 [size=\"53428224\", alpha=\"0.16\", expect_size=\"26714112\"] \n  44 -> 45 [size =\"26714112\"]\n  45 [size=\"16607232\", alpha=\"0.11\", expect_size=\"8303616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50083840\", alpha=\"0.09\", expect_size=\"15025152\"] \n  1 -> 3 [size =\"15025152\"]\n  1 -> 4 [size =\"15025152\"]\n  2 [size=\"51496960\", alpha=\"0.07\", expect_size=\"15449088\"] \n  2 -> 3 [size =\"15449088\"]\n  2 -> 5 [size =\"15449088\"]\n  3 [size=\"125163520\", alpha=\"0.07\", expect_size=\"37549056\"] \n  3 -> 6 [size =\"37549056\"]\n  3 -> 7 [size =\"37549056\"]\n  4 [size=\"40888320\", alpha=\"0.13\", expect_size=\"12266496\"] \n  4 -> 6 [size =\"12266496\"]\n  5 [size=\"94528853\", alpha=\"0.01\", expect_size=\"28358656\"] \n  5 -> 8 [size =\"28358656\"]\n  6 [size=\"43199147\", alpha=\"0.16\", expect_size=\"12959744\"] \n  6 -> 9 [size =\"12959744\"]\n  6 -> 10 [size =\"12959744\"]\n  6 -> 11 [size =\"12959744\"]\n  7 [size=\"25521493\", alpha=\"0.16\", expect_size=\"7656448\"] \n  7 -> 11 [size =\"7656448\"]\n  8 [size=\"79066453\", alpha=\"0.15\", expect_size=\"23719936\"] \n  8 -> 9 [size =\"23719936\"]\n  9 [size=\"21585920\", alpha=\"0.17\", expect_size=\"6475776\"] \n  9 -> 12 [size =\"6475776\"]\n  9 -> 13 [size =\"6475776\"]\n  9 -> 14 [size =\"6475776\"]\n  10 [size=\"107031893\", alpha=\"0.09\", expect_size=\"32109568\"] \n  10 -> 12 [size =\"32109568\"]\n  11 [size=\"34061653\", alpha=\"0.15\", expect_size=\"10218496\"] \n  11 -> 14 [size =\"10218496\"]\n  12 [size=\"101761707\", alpha=\"0.09\", expect_size=\"30528512\"] \n  13 [size=\"156088320\", alpha=\"0.03\", expect_size=\"46826496\"] \n  13 -> 15 [size =\"46826496\"]\n  13 -> 16 [size =\"46826496\"]\n  14 [size=\"51834880\", alpha=\"0.16\", expect_size=\"15550464\"] \n  14 -> 16 [size =\"15550464\"]\n  15 [size=\"156139520\", alpha=\"0.08\", expect_size=\"46841856\"] \n  15 -> 17 [size =\"46841856\"]\n  15 -> 18 [size =\"46841856\"]\n  16 [size=\"161802240\", alpha=\"0.13\", expect_size=\"48540672\"] \n  16 -> 17 [size =\"48540672\"]\n  16 -> 18 [size =\"48540672\"]\n  17 [size=\"128839680\", alpha=\"0.02\", expect_size=\"38651904\"] \n  17 -> 20 [size =\"38651904\"]\n  18 [size=\"99290453\", alpha=\"0.03\", expect_size=\"29787136\"] \n  18 -> 19 [size =\"29787136\"]\n  18 -> 20 [size =\"29787136\"]\n  19 [size=\"57852587\", alpha=\"0.03\", expect_size=\"17355776\"] \n  19 -> 21 [size =\"17355776\"]\n  19 -> 22 [size =\"17355776\"]\n  20 [size=\"37672960\", alpha=\"0.17\", expect_size=\"11301888\"] \n  20 -> 21 [size =\"11301888\"]\n  20 -> 22 [size =\"11301888\"]\n  20 -> 23 [size =\"11301888\"]\n  21 [size=\"112059733\", alpha=\"0.15\", expect_size=\"33617920\"] \n  21 -> 24 [size =\"33617920\"]\n  21 -> 25 [size =\"33617920\"]\n  21 -> 26 [size =\"33617920\"]\n  22 [size=\"75864747\", alpha=\"0.17\", expect_size=\"22759424\"] \n  22 -> 24 [size =\"22759424\"]\n  22 -> 25 [size =\"22759424\"]\n  23 [size=\"150285653\", alpha=\"0.13\", expect_size=\"45085696\"] \n  23 -> 26 [size =\"45085696\"]\n  24 [size=\"19428693\", alpha=\"0.12\", expect_size=\"5828608\"] \n  24 -> 27 [size =\"5828608\"]\n  25 [size=\"145633280\", alpha=\"0.01\", expect_size=\"43689984\"] \n  25 -> 28 [size =\"43689984\"]\n  25 -> 29 [size =\"43689984\"]\n  26 [size=\"47397547\", alpha=\"0.13\", expect_size=\"14219264\"] \n  26 -> 27 [size =\"14219264\"]\n  26 -> 29 [size =\"14219264\"]\n  27 [size=\"147128320\", alpha=\"0.06\", expect_size=\"44138496\"] \n  27 -> 30 [size =\"44138496\"]\n  27 -> 32 [size =\"44138496\"]\n  28 [size=\"163444053\", alpha=\"0.07\", expect_size=\"49033216\"] \n  28 -> 30 [size =\"49033216\"]\n  28 -> 31 [size =\"49033216\"]\n  29 [size=\"30334293\", alpha=\"0.09\", expect_size=\"9100288\"] \n  30 [size=\"56767147\", alpha=\"0.01\", expect_size=\"17030144\"] \n  30 -> 34 [size =\"17030144\"]\n  31 [size=\"34573653\", alpha=\"0.16\", expect_size=\"10372096\"] \n  31 -> 33 [size =\"10372096\"]\n  31 -> 34 [size =\"10372096\"]\n  32 [size=\"153658027\", alpha=\"0.02\", expect_size=\"46097408\"] \n  32 -> 33 [size =\"46097408\"]\n  33 [size=\"133461333\", alpha=\"0.05\", expect_size=\"40038400\"] \n  33 -> 36 [size =\"40038400\"]\n  33 -> 37 [size =\"40038400\"]\n  34 [size=\"81677653\", alpha=\"0.13\", expect_size=\"24503296\"] \n  34 -> 35 [size =\"24503296\"]\n  35 [size=\"21719040\", alpha=\"0.18\", expect_size=\"6515712\"] \n  35 -> 39 [size =\"6515712\"]\n  35 -> 40 [size =\"6515712\"]\n  36 [size=\"30641493\", alpha=\"0.02\", expect_size=\"9192448\"] \n  36 -> 38 [size =\"9192448\"]\n  36 -> 39 [size =\"9192448\"]\n  37 [size=\"134167893\", alpha=\"0.19\", expect_size=\"40250368\"] \n  37 -> 40 [size =\"40250368\"]\n  38 [size=\"25770667\", alpha=\"0.07\", expect_size=\"7731200\"] \n  38 -> 41 [size =\"7731200\"]\n  38 -> 42 [size =\"7731200\"]\n  38 -> 43 [size =\"7731200\"]\n  39 [size=\"81619627\", alpha=\"0.01\", expect_size=\"24485888\"] \n  39 -> 41 [size =\"24485888\"]\n  40 [size=\"148538027\", alpha=\"0.17\", expect_size=\"44561408\"] \n  40 -> 43 [size =\"44561408\"]\n  41 [size=\"158798507\", alpha=\"0.05\", expect_size=\"47639552\"] \n  41 -> 44 [size =\"47639552\"]\n  42 [size=\"128983040\", alpha=\"0.20\", expect_size=\"38694912\"] \n  42 -> 45 [size =\"38694912\"]\n  43 [size=\"143380480\", alpha=\"0.12\", expect_size=\"43014144\"] \n  43 -> 45 [size =\"43014144\"]\n  44 [size=\"26030080\", alpha=\"0.05\", expect_size=\"7809024\"] \n  45 [size=\"125866667\", alpha=\"0.13\", expect_size=\"37760000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105515520\", alpha=\"0.15\", expect_size=\"42206208\"] \n  1 -> 34 [size =\"42206208\"]\n  1 -> 36 [size =\"42206208\"]\n  1 -> 40 [size =\"42206208\"]\n  1 -> 44 [size =\"42206208\"]\n  2 [size=\"89029120\", alpha=\"0.18\", expect_size=\"35611648\"] \n  2 -> 33 [size =\"35611648\"]\n  2 -> 34 [size =\"35611648\"]\n  2 -> 35 [size =\"35611648\"]\n  2 -> 36 [size =\"35611648\"]\n  2 -> 37 [size =\"35611648\"]\n  2 -> 40 [size =\"35611648\"]\n  2 -> 42 [size =\"35611648\"]\n  2 -> 43 [size =\"35611648\"]\n  2 -> 44 [size =\"35611648\"]\n  2 -> 45 [size =\"35611648\"]\n  3 [size=\"93378560\", alpha=\"0.03\", expect_size=\"37351424\"] \n  3 -> 35 [size =\"37351424\"]\n  3 -> 36 [size =\"37351424\"]\n  3 -> 37 [size =\"37351424\"]\n  3 -> 38 [size =\"37351424\"]\n  3 -> 40 [size =\"37351424\"]\n  3 -> 40 [size =\"37351424\"]\n  3 -> 43 [size =\"37351424\"]\n  3 -> 44 [size =\"37351424\"]\n  3 -> 44 [size =\"37351424\"]\n  4 [size=\"104550400\", alpha=\"0.13\", expect_size=\"41820160\"] \n  4 -> 37 [size =\"41820160\"]\n  4 -> 41 [size =\"41820160\"]\n  4 -> 44 [size =\"41820160\"]\n  5 [size=\"30128640\", alpha=\"0.18\", expect_size=\"12051456\"] \n  5 -> 34 [size =\"12051456\"]\n  5 -> 36 [size =\"12051456\"]\n  5 -> 44 [size =\"12051456\"]\n  6 [size=\"97743360\", alpha=\"0.15\", expect_size=\"39097344\"] \n  6 -> 33 [size =\"39097344\"]\n  6 -> 34 [size =\"39097344\"]\n  6 -> 35 [size =\"39097344\"]\n  6 -> 39 [size =\"39097344\"]\n  6 -> 44 [size =\"39097344\"]\n  7 [size=\"112102400\", alpha=\"0.05\", expect_size=\"44840960\"] \n  7 -> 35 [size =\"44840960\"]\n  7 -> 36 [size =\"44840960\"]\n  7 -> 38 [size =\"44840960\"]\n  7 -> 40 [size =\"44840960\"]\n  7 -> 42 [size =\"44840960\"]\n  7 -> 45 [size =\"44840960\"]\n  8 [size=\"119398400\", alpha=\"0.15\", expect_size=\"47759360\"] \n  8 -> 35 [size =\"47759360\"]\n  8 -> 38 [size =\"47759360\"]\n  8 -> 40 [size =\"47759360\"]\n  8 -> 41 [size =\"47759360\"]\n  9 [size=\"17561600\", alpha=\"0.06\", expect_size=\"7024640\"] \n  9 -> 33 [size =\"7024640\"]\n  9 -> 35 [size =\"7024640\"]\n  9 -> 37 [size =\"7024640\"]\n  9 -> 41 [size =\"7024640\"]\n  9 -> 43 [size =\"7024640\"]\n  9 -> 44 [size =\"7024640\"]\n  10 [size=\"81692160\", alpha=\"0.18\", expect_size=\"32676864\"] \n  10 -> 33 [size =\"32676864\"]\n  10 -> 34 [size =\"32676864\"]\n  10 -> 35 [size =\"32676864\"]\n  10 -> 38 [size =\"32676864\"]\n  10 -> 44 [size =\"32676864\"]\n  11 [size=\"80898560\", alpha=\"0.06\", expect_size=\"32359424\"] \n  11 -> 33 [size =\"32359424\"]\n  11 -> 34 [size =\"32359424\"]\n  11 -> 35 [size =\"32359424\"]\n  11 -> 41 [size =\"32359424\"]\n  11 -> 43 [size =\"32359424\"]\n  11 -> 44 [size =\"32359424\"]\n  11 -> 45 [size =\"32359424\"]\n  12 [size=\"51176960\", alpha=\"0.11\", expect_size=\"20470784\"] \n  12 -> 34 [size =\"20470784\"]\n  12 -> 35 [size =\"20470784\"]\n  12 -> 41 [size =\"20470784\"]\n  12 -> 41 [size =\"20470784\"]\n  12 -> 44 [size =\"20470784\"]\n  13 [size=\"41922560\", alpha=\"0.02\", expect_size=\"16769024\"] \n  13 -> 33 [size =\"16769024\"]\n  13 -> 40 [size =\"16769024\"]\n  13 -> 42 [size =\"16769024\"]\n  13 -> 43 [size =\"16769024\"]\n  13 -> 44 [size =\"16769024\"]\n  14 [size=\"58798080\", alpha=\"0.01\", expect_size=\"23519232\"] \n  14 -> 34 [size =\"23519232\"]\n  14 -> 35 [size =\"23519232\"]\n  14 -> 40 [size =\"23519232\"]\n  14 -> 43 [size =\"23519232\"]\n  15 [size=\"15690240\", alpha=\"0.11\", expect_size=\"6276096\"] \n  15 -> 34 [size =\"6276096\"]\n  15 -> 35 [size =\"6276096\"]\n  15 -> 40 [size =\"6276096\"]\n  15 -> 43 [size =\"6276096\"]\n  15 -> 44 [size =\"6276096\"]\n  16 [size=\"120084480\", alpha=\"0.04\", expect_size=\"48033792\"] \n  16 -> 33 [size =\"48033792\"]\n  16 -> 35 [size =\"48033792\"]\n  16 -> 36 [size =\"48033792\"]\n  16 -> 37 [size =\"48033792\"]\n  16 -> 40 [size =\"48033792\"]\n  16 -> 43 [size =\"48033792\"]\n  16 -> 44 [size =\"48033792\"]\n  17 [size=\"89095680\", alpha=\"0.00\", expect_size=\"35638272\"] \n  17 -> 33 [size =\"35638272\"]\n  17 -> 35 [size =\"35638272\"]\n  17 -> 38 [size =\"35638272\"]\n  17 -> 40 [size =\"35638272\"]\n  17 -> 40 [size =\"35638272\"]\n  17 -> 44 [size =\"35638272\"]\n  18 [size=\"116377600\", alpha=\"0.13\", expect_size=\"46551040\"] \n  18 -> 35 [size =\"46551040\"]\n  18 -> 36 [size =\"46551040\"]\n  18 -> 38 [size =\"46551040\"]\n  18 -> 40 [size =\"46551040\"]\n  18 -> 44 [size =\"46551040\"]\n  19 [size=\"89536000\", alpha=\"0.13\", expect_size=\"35814400\"] \n  19 -> 42 [size =\"35814400\"]\n  19 -> 44 [size =\"35814400\"]\n  20 [size=\"127362560\", alpha=\"0.08\", expect_size=\"50945024\"] \n  21 [size=\"116162560\", alpha=\"0.19\", expect_size=\"46465024\"] \n  21 -> 37 [size =\"46465024\"]\n  21 -> 39 [size =\"46465024\"]\n  21 -> 41 [size =\"46465024\"]\n  21 -> 45 [size =\"46465024\"]\n  22 [size=\"32814080\", alpha=\"0.03\", expect_size=\"13125632\"] \n  22 -> 37 [size =\"13125632\"]\n  22 -> 40 [size =\"13125632\"]\n  22 -> 41 [size =\"13125632\"]\n  22 -> 43 [size =\"13125632\"]\n  23 [size=\"95285760\", alpha=\"0.01\", expect_size=\"38114304\"] \n  23 -> 33 [size =\"38114304\"]\n  23 -> 35 [size =\"38114304\"]\n  23 -> 36 [size =\"38114304\"]\n  23 -> 37 [size =\"38114304\"]\n  23 -> 44 [size =\"38114304\"]\n  24 [size=\"108756480\", alpha=\"0.14\", expect_size=\"43502592\"] \n  24 -> 33 [size =\"43502592\"]\n  24 -> 37 [size =\"43502592\"]\n  24 -> 40 [size =\"43502592\"]\n  24 -> 41 [size =\"43502592\"]\n  24 -> 43 [size =\"43502592\"]\n  24 -> 45 [size =\"43502592\"]\n  25 [size=\"113574400\", alpha=\"0.10\", expect_size=\"45429760\"] \n  25 -> 35 [size =\"45429760\"]\n  25 -> 45 [size =\"45429760\"]\n  26 [size=\"60236800\", alpha=\"0.20\", expect_size=\"24094720\"] \n  26 -> 33 [size =\"24094720\"]\n  26 -> 35 [size =\"24094720\"]\n  26 -> 40 [size =\"24094720\"]\n  26 -> 41 [size =\"24094720\"]\n  26 -> 43 [size =\"24094720\"]\n  26 -> 45 [size =\"24094720\"]\n  27 [size=\"85588480\", alpha=\"0.07\", expect_size=\"34235392\"] \n  27 -> 38 [size =\"34235392\"]\n  27 -> 41 [size =\"34235392\"]\n  27 -> 42 [size =\"34235392\"]\n  27 -> 43 [size =\"34235392\"]\n  28 [size=\"86405120\", alpha=\"0.12\", expect_size=\"34562048\"] \n  28 -> 34 [size =\"34562048\"]\n  28 -> 38 [size =\"34562048\"]\n  28 -> 43 [size =\"34562048\"]\n  28 -> 45 [size =\"34562048\"]\n  29 [size=\"43591680\", alpha=\"0.18\", expect_size=\"17436672\"] \n  29 -> 33 [size =\"17436672\"]\n  29 -> 35 [size =\"17436672\"]\n  29 -> 36 [size =\"17436672\"]\n  29 -> 37 [size =\"17436672\"]\n  29 -> 38 [size =\"17436672\"]\n  29 -> 40 [size =\"17436672\"]\n  29 -> 41 [size =\"17436672\"]\n  29 -> 43 [size =\"17436672\"]\n  29 -> 45 [size =\"17436672\"]\n  30 [size=\"118305280\", alpha=\"0.15\", expect_size=\"47322112\"] \n  30 -> 33 [size =\"47322112\"]\n  30 -> 34 [size =\"47322112\"]\n  30 -> 40 [size =\"47322112\"]\n  30 -> 41 [size =\"47322112\"]\n  30 -> 44 [size =\"47322112\"]\n  31 [size=\"47905280\", alpha=\"0.04\", expect_size=\"19162112\"] \n  31 -> 33 [size =\"19162112\"]\n  31 -> 41 [size =\"19162112\"]\n  31 -> 43 [size =\"19162112\"]\n  31 -> 45 [size =\"19162112\"]\n  32 [size=\"42764800\", alpha=\"0.20\", expect_size=\"17105920\"] \n  32 -> 33 [size =\"17105920\"]\n  32 -> 36 [size =\"17105920\"]\n  32 -> 43 [size =\"17105920\"]\n  33 [size=\"60840960\", alpha=\"0.00\", expect_size=\"24336384\"] \n  34 [size=\"64442880\", alpha=\"0.08\", expect_size=\"25777152\"] \n  35 [size=\"27048960\", alpha=\"0.17\", expect_size=\"10819584\"] \n  36 [size=\"83648000\", alpha=\"0.03\", expect_size=\"33459200\"] \n  37 [size=\"82944000\", alpha=\"0.03\", expect_size=\"33177600\"] \n  38 [size=\"123939840\", alpha=\"0.20\", expect_size=\"49575936\"] \n  39 [size=\"76992000\", alpha=\"0.10\", expect_size=\"30796800\"] \n  40 [size=\"64524800\", alpha=\"0.19\", expect_size=\"25809920\"] \n  41 [size=\"37158400\", alpha=\"0.06\", expect_size=\"14863360\"] \n  42 [size=\"62684160\", alpha=\"0.16\", expect_size=\"25073664\"] \n  43 [size=\"61212160\", alpha=\"0.00\", expect_size=\"24484864\"] \n  44 [size=\"61560320\", alpha=\"0.01\", expect_size=\"24624128\"] \n  45 [size=\"109419520\", alpha=\"0.18\", expect_size=\"43767808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47304704\", alpha=\"0.12\", expect_size=\"23652352\"] \n  1 -> 27 [size =\"23652352\"]\n  1 -> 33 [size =\"23652352\"]\n  1 -> 34 [size =\"23652352\"]\n  1 -> 36 [size =\"23652352\"]\n  1 -> 39 [size =\"23652352\"]\n  1 -> 42 [size =\"23652352\"]\n  1 -> 44 [size =\"23652352\"]\n  2 [size=\"18704384\", alpha=\"0.00\", expect_size=\"9352192\"] \n  2 -> 29 [size =\"9352192\"]\n  2 -> 31 [size =\"9352192\"]\n  2 -> 33 [size =\"9352192\"]\n  2 -> 34 [size =\"9352192\"]\n  2 -> 39 [size =\"9352192\"]\n  2 -> 40 [size =\"9352192\"]\n  3 [size=\"85391360\", alpha=\"0.03\", expect_size=\"42695680\"] \n  3 -> 29 [size =\"42695680\"]\n  3 -> 30 [size =\"42695680\"]\n  3 -> 43 [size =\"42695680\"]\n  3 -> 45 [size =\"42695680\"]\n  4 [size=\"20084736\", alpha=\"0.05\", expect_size=\"10042368\"] \n  4 -> 30 [size =\"10042368\"]\n  4 -> 31 [size =\"10042368\"]\n  4 -> 34 [size =\"10042368\"]\n  4 -> 36 [size =\"10042368\"]\n  4 -> 37 [size =\"10042368\"]\n  4 -> 40 [size =\"10042368\"]\n  4 -> 43 [size =\"10042368\"]\n  4 -> 45 [size =\"10042368\"]\n  5 [size=\"22829056\", alpha=\"0.05\", expect_size=\"11414528\"] \n  5 -> 28 [size =\"11414528\"]\n  5 -> 34 [size =\"11414528\"]\n  5 -> 36 [size =\"11414528\"]\n  5 -> 39 [size =\"11414528\"]\n  5 -> 41 [size =\"11414528\"]\n  5 -> 42 [size =\"11414528\"]\n  5 -> 45 [size =\"11414528\"]\n  6 [size=\"81256448\", alpha=\"0.01\", expect_size=\"40628224\"] \n  6 -> 29 [size =\"40628224\"]\n  6 -> 30 [size =\"40628224\"]\n  6 -> 32 [size =\"40628224\"]\n  6 -> 33 [size =\"40628224\"]\n  6 -> 39 [size =\"40628224\"]\n  6 -> 40 [size =\"40628224\"]\n  7 [size=\"103770112\", alpha=\"0.03\", expect_size=\"51885056\"] \n  7 -> 33 [size =\"51885056\"]\n  7 -> 36 [size =\"51885056\"]\n  8 [size=\"24502272\", alpha=\"0.15\", expect_size=\"12251136\"] \n  8 -> 30 [size =\"12251136\"]\n  8 -> 33 [size =\"12251136\"]\n  8 -> 34 [size =\"12251136\"]\n  8 -> 39 [size =\"12251136\"]\n  8 -> 41 [size =\"12251136\"]\n  8 -> 45 [size =\"12251136\"]\n  9 [size=\"54204416\", alpha=\"0.00\", expect_size=\"27102208\"] \n  9 -> 34 [size =\"27102208\"]\n  9 -> 39 [size =\"27102208\"]\n  9 -> 45 [size =\"27102208\"]\n  10 [size=\"30849024\", alpha=\"0.06\", expect_size=\"15424512\"] \n  10 -> 28 [size =\"15424512\"]\n  10 -> 36 [size =\"15424512\"]\n  10 -> 37 [size =\"15424512\"]\n  10 -> 40 [size =\"15424512\"]\n  10 -> 42 [size =\"15424512\"]\n  10 -> 43 [size =\"15424512\"]\n  10 -> 45 [size =\"15424512\"]\n  11 [size=\"61063168\", alpha=\"0.17\", expect_size=\"30531584\"] \n  11 -> 33 [size =\"30531584\"]\n  11 -> 37 [size =\"30531584\"]\n  11 -> 40 [size =\"30531584\"]\n  12 [size=\"24897536\", alpha=\"0.06\", expect_size=\"12448768\"] \n  12 -> 33 [size =\"12448768\"]\n  12 -> 37 [size =\"12448768\"]\n  12 -> 40 [size =\"12448768\"]\n  12 -> 45 [size =\"12448768\"]\n  13 [size=\"26050560\", alpha=\"0.11\", expect_size=\"13025280\"] \n  13 -> 37 [size =\"13025280\"]\n  13 -> 41 [size =\"13025280\"]\n  13 -> 45 [size =\"13025280\"]\n  14 [size=\"41385984\", alpha=\"0.05\", expect_size=\"20692992\"] \n  14 -> 32 [size =\"20692992\"]\n  14 -> 38 [size =\"20692992\"]\n  14 -> 39 [size =\"20692992\"]\n  14 -> 41 [size =\"20692992\"]\n  14 -> 45 [size =\"20692992\"]\n  15 [size=\"63893504\", alpha=\"0.04\", expect_size=\"31946752\"] \n  15 -> 31 [size =\"31946752\"]\n  15 -> 34 [size =\"31946752\"]\n  15 -> 35 [size =\"31946752\"]\n  15 -> 38 [size =\"31946752\"]\n  16 [size=\"87332864\", alpha=\"0.05\", expect_size=\"43666432\"] \n  16 -> 28 [size =\"43666432\"]\n  16 -> 31 [size =\"43666432\"]\n  16 -> 33 [size =\"43666432\"]\n  16 -> 34 [size =\"43666432\"]\n  16 -> 41 [size =\"43666432\"]\n  17 [size=\"93085696\", alpha=\"0.13\", expect_size=\"46542848\"] \n  17 -> 31 [size =\"46542848\"]\n  17 -> 34 [size =\"46542848\"]\n  18 [size=\"11608064\", alpha=\"0.15\", expect_size=\"5804032\"] \n  18 -> 34 [size =\"5804032\"]\n  18 -> 34 [size =\"5804032\"]\n  18 -> 39 [size =\"5804032\"]\n  18 -> 45 [size =\"5804032\"]\n  19 [size=\"80549888\", alpha=\"0.13\", expect_size=\"40274944\"] \n  19 -> 29 [size =\"40274944\"]\n  19 -> 35 [size =\"40274944\"]\n  19 -> 39 [size =\"40274944\"]\n  20 [size=\"81002496\", alpha=\"0.03\", expect_size=\"40501248\"] \n  20 -> 30 [size =\"40501248\"]\n  20 -> 33 [size =\"40501248\"]\n  20 -> 39 [size =\"40501248\"]\n  20 -> 40 [size =\"40501248\"]\n  20 -> 45 [size =\"40501248\"]\n  21 [size=\"15466496\", alpha=\"0.01\", expect_size=\"7733248\"] \n  21 -> 33 [size =\"7733248\"]\n  21 -> 37 [size =\"7733248\"]\n  21 -> 39 [size =\"7733248\"]\n  21 -> 42 [size =\"7733248\"]\n  21 -> 44 [size =\"7733248\"]\n  22 [size=\"94146560\", alpha=\"0.00\", expect_size=\"47073280\"] \n  22 -> 39 [size =\"47073280\"]\n  22 -> 40 [size =\"47073280\"]\n  23 [size=\"27289600\", alpha=\"0.16\", expect_size=\"13644800\"] \n  23 -> 30 [size =\"13644800\"]\n  23 -> 33 [size =\"13644800\"]\n  23 -> 37 [size =\"13644800\"]\n  23 -> 39 [size =\"13644800\"]\n  23 -> 40 [size =\"13644800\"]\n  23 -> 41 [size =\"13644800\"]\n  24 [size=\"78741504\", alpha=\"0.14\", expect_size=\"39370752\"] \n  24 -> 28 [size =\"39370752\"]\n  24 -> 33 [size =\"39370752\"]\n  24 -> 42 [size =\"39370752\"]\n  25 [size=\"104634368\", alpha=\"0.14\", expect_size=\"52317184\"] \n  25 -> 29 [size =\"52317184\"]\n  25 -> 36 [size =\"52317184\"]\n  25 -> 37 [size =\"52317184\"]\n  25 -> 41 [size =\"52317184\"]\n  25 -> 42 [size =\"52317184\"]\n  26 [size=\"29212672\", alpha=\"0.09\", expect_size=\"14606336\"] \n  26 -> 29 [size =\"14606336\"]\n  26 -> 31 [size =\"14606336\"]\n  26 -> 33 [size =\"14606336\"]\n  26 -> 38 [size =\"14606336\"]\n  27 [size=\"53272576\", alpha=\"0.04\", expect_size=\"26636288\"] \n  28 [size=\"20867072\", alpha=\"0.02\", expect_size=\"10433536\"] \n  29 [size=\"91453440\", alpha=\"0.09\", expect_size=\"45726720\"] \n  30 [size=\"57315328\", alpha=\"0.01\", expect_size=\"28657664\"] \n  31 [size=\"70938624\", alpha=\"0.03\", expect_size=\"35469312\"] \n  32 [size=\"74770432\", alpha=\"0.08\", expect_size=\"37385216\"] \n  33 [size=\"77031424\", alpha=\"0.17\", expect_size=\"38515712\"] \n  34 [size=\"58255360\", alpha=\"0.12\", expect_size=\"29127680\"] \n  35 [size=\"28039168\", alpha=\"0.18\", expect_size=\"14019584\"] \n  36 [size=\"93100032\", alpha=\"0.01\", expect_size=\"46550016\"] \n  37 [size=\"41097216\", alpha=\"0.01\", expect_size=\"20548608\"] \n  38 [size=\"59680768\", alpha=\"0.02\", expect_size=\"29840384\"] \n  39 [size=\"68499456\", alpha=\"0.17\", expect_size=\"34249728\"] \n  40 [size=\"16902144\", alpha=\"0.07\", expect_size=\"8451072\"] \n  41 [size=\"19619840\", alpha=\"0.19\", expect_size=\"9809920\"] \n  42 [size=\"32862208\", alpha=\"0.08\", expect_size=\"16431104\"] \n  43 [size=\"71038976\", alpha=\"0.00\", expect_size=\"35519488\"] \n  44 [size=\"55347200\", alpha=\"0.07\", expect_size=\"27673600\"] \n  45 [size=\"16689152\", alpha=\"0.14\", expect_size=\"8344576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82094080\", alpha=\"0.14\", expect_size=\"24628224\"] \n  1 -> 9 [size =\"24628224\"]\n  1 -> 9 [size =\"24628224\"]\n  1 -> 10 [size =\"24628224\"]\n  2 [size=\"164205227\", alpha=\"0.17\", expect_size=\"49261568\"] \n  2 -> 5 [size =\"49261568\"]\n  2 -> 6 [size =\"49261568\"]\n  2 -> 7 [size =\"49261568\"]\n  2 -> 10 [size =\"49261568\"]\n  3 [size=\"36802560\", alpha=\"0.12\", expect_size=\"11040768\"] \n  3 -> 7 [size =\"11040768\"]\n  3 -> 9 [size =\"11040768\"]\n  3 -> 10 [size =\"11040768\"]\n  4 [size=\"62945280\", alpha=\"0.18\", expect_size=\"18883584\"] \n  4 -> 8 [size =\"18883584\"]\n  4 -> 9 [size =\"18883584\"]\n  4 -> 10 [size =\"18883584\"]\n  5 [size=\"40430933\", alpha=\"0.01\", expect_size=\"12129280\"] \n  5 -> 11 [size =\"12129280\"]\n  5 -> 12 [size =\"12129280\"]\n  5 -> 14 [size =\"12129280\"]\n  5 -> 15 [size =\"12129280\"]\n  5 -> 16 [size =\"12129280\"]\n  6 [size=\"81336320\", alpha=\"0.04\", expect_size=\"24400896\"] \n  6 -> 12 [size =\"24400896\"]\n  6 -> 13 [size =\"24400896\"]\n  6 -> 14 [size =\"24400896\"]\n  6 -> 16 [size =\"24400896\"]\n  7 [size=\"80544427\", alpha=\"0.14\", expect_size=\"24163328\"] \n  7 -> 11 [size =\"24163328\"]\n  7 -> 13 [size =\"24163328\"]\n  7 -> 15 [size =\"24163328\"]\n  7 -> 16 [size =\"24163328\"]\n  8 [size=\"74905600\", alpha=\"0.15\", expect_size=\"22471680\"] \n  8 -> 11 [size =\"22471680\"]\n  8 -> 14 [size =\"22471680\"]\n  8 -> 15 [size =\"22471680\"]\n  8 -> 16 [size =\"22471680\"]\n  8 -> 17 [size =\"22471680\"]\n  9 [size=\"19923627\", alpha=\"0.08\", expect_size=\"5977088\"] \n  9 -> 13 [size =\"5977088\"]\n  9 -> 15 [size =\"5977088\"]\n  9 -> 16 [size =\"5977088\"]\n  9 -> 17 [size =\"5977088\"]\n  10 [size=\"18305707\", alpha=\"0.02\", expect_size=\"5491712\"] \n  10 -> 11 [size =\"5491712\"]\n  10 -> 12 [size =\"5491712\"]\n  10 -> 13 [size =\"5491712\"]\n  10 -> 14 [size =\"5491712\"]\n  10 -> 16 [size =\"5491712\"]\n  11 [size=\"113933653\", alpha=\"0.10\", expect_size=\"34180096\"] \n  11 -> 18 [size =\"34180096\"]\n  11 -> 19 [size =\"34180096\"]\n  11 -> 20 [size =\"34180096\"]\n  11 -> 23 [size =\"34180096\"]\n  12 [size=\"64894293\", alpha=\"0.11\", expect_size=\"19468288\"] \n  12 -> 18 [size =\"19468288\"]\n  13 [size=\"41308160\", alpha=\"0.08\", expect_size=\"12392448\"] \n  13 -> 18 [size =\"12392448\"]\n  14 [size=\"138987520\", alpha=\"0.17\", expect_size=\"41696256\"] \n  15 [size=\"122603520\", alpha=\"0.08\", expect_size=\"36781056\"] \n  15 -> 18 [size =\"36781056\"]\n  15 -> 23 [size =\"36781056\"]\n  16 [size=\"131328000\", alpha=\"0.19\", expect_size=\"39398400\"] \n  16 -> 18 [size =\"39398400\"]\n  16 -> 21 [size =\"39398400\"]\n  16 -> 23 [size =\"39398400\"]\n  17 [size=\"163536213\", alpha=\"0.15\", expect_size=\"49060864\"] \n  17 -> 18 [size =\"49060864\"]\n  17 -> 20 [size =\"49060864\"]\n  17 -> 22 [size =\"49060864\"]\n  17 -> 23 [size =\"49060864\"]\n  18 [size=\"117661013\", alpha=\"0.10\", expect_size=\"35298304\"] \n  18 -> 25 [size =\"35298304\"]\n  18 -> 28 [size =\"35298304\"]\n  19 [size=\"75055787\", alpha=\"0.05\", expect_size=\"22516736\"] \n  19 -> 24 [size =\"22516736\"]\n  19 -> 26 [size =\"22516736\"]\n  19 -> 27 [size =\"22516736\"]\n  19 -> 28 [size =\"22516736\"]\n  20 [size=\"138205867\", alpha=\"0.01\", expect_size=\"41461760\"] \n  20 -> 25 [size =\"41461760\"]\n  20 -> 26 [size =\"41461760\"]\n  20 -> 27 [size =\"41461760\"]\n  20 -> 28 [size =\"41461760\"]\n  20 -> 29 [size =\"41461760\"]\n  20 -> 30 [size =\"41461760\"]\n  21 [size=\"151736320\", alpha=\"0.05\", expect_size=\"45520896\"] \n  21 -> 26 [size =\"45520896\"]\n  21 -> 27 [size =\"45520896\"]\n  21 -> 28 [size =\"45520896\"]\n  21 -> 29 [size =\"45520896\"]\n  21 -> 29 [size =\"45520896\"]\n  21 -> 30 [size =\"45520896\"]\n  22 [size=\"75397120\", alpha=\"0.08\", expect_size=\"22619136\"] \n  22 -> 24 [size =\"22619136\"]\n  22 -> 25 [size =\"22619136\"]\n  22 -> 26 [size =\"22619136\"]\n  22 -> 28 [size =\"22619136\"]\n  22 -> 29 [size =\"22619136\"]\n  23 [size=\"162406400\", alpha=\"0.13\", expect_size=\"48721920\"] \n  23 -> 24 [size =\"48721920\"]\n  23 -> 25 [size =\"48721920\"]\n  23 -> 27 [size =\"48721920\"]\n  23 -> 29 [size =\"48721920\"]\n  24 [size=\"69130240\", alpha=\"0.04\", expect_size=\"20739072\"] \n  24 -> 32 [size =\"20739072\"]\n  24 -> 34 [size =\"20739072\"]\n  25 [size=\"46694400\", alpha=\"0.18\", expect_size=\"14008320\"] \n  25 -> 32 [size =\"14008320\"]\n  25 -> 33 [size =\"14008320\"]\n  25 -> 34 [size =\"14008320\"]\n  26 [size=\"106366293\", alpha=\"0.20\", expect_size=\"31909888\"] \n  26 -> 31 [size =\"31909888\"]\n  26 -> 32 [size =\"31909888\"]\n  26 -> 33 [size =\"31909888\"]\n  26 -> 34 [size =\"31909888\"]\n  27 [size=\"97600853\", alpha=\"0.10\", expect_size=\"29280256\"] \n  27 -> 31 [size =\"29280256\"]\n  27 -> 32 [size =\"29280256\"]\n  27 -> 33 [size =\"29280256\"]\n  27 -> 34 [size =\"29280256\"]\n  28 [size=\"57163093\", alpha=\"0.07\", expect_size=\"17148928\"] \n  28 -> 31 [size =\"17148928\"]\n  28 -> 32 [size =\"17148928\"]\n  28 -> 34 [size =\"17148928\"]\n  29 [size=\"136103253\", alpha=\"0.05\", expect_size=\"40830976\"] \n  29 -> 31 [size =\"40830976\"]\n  29 -> 32 [size =\"40830976\"]\n  29 -> 33 [size =\"40830976\"]\n  29 -> 34 [size =\"40830976\"]\n  30 [size=\"19800747\", alpha=\"0.03\", expect_size=\"5940224\"] \n  30 -> 31 [size =\"5940224\"]\n  30 -> 34 [size =\"5940224\"]\n  31 [size=\"28146347\", alpha=\"0.13\", expect_size=\"8443904\"] \n  31 -> 37 [size =\"8443904\"]\n  31 -> 38 [size =\"8443904\"]\n  31 -> 40 [size =\"8443904\"]\n  32 [size=\"68474880\", alpha=\"0.09\", expect_size=\"20542464\"] \n  32 -> 37 [size =\"20542464\"]\n  32 -> 38 [size =\"20542464\"]\n  33 [size=\"130228907\", alpha=\"0.08\", expect_size=\"39068672\"] \n  33 -> 35 [size =\"39068672\"]\n  33 -> 36 [size =\"39068672\"]\n  33 -> 37 [size =\"39068672\"]\n  33 -> 38 [size =\"39068672\"]\n  34 [size=\"75458560\", alpha=\"0.02\", expect_size=\"22637568\"] \n  34 -> 35 [size =\"22637568\"]\n  34 -> 37 [size =\"22637568\"]\n  34 -> 38 [size =\"22637568\"]\n  34 -> 39 [size =\"22637568\"]\n  35 [size=\"106912427\", alpha=\"0.10\", expect_size=\"32073728\"] \n  35 -> 42 [size =\"32073728\"]\n  35 -> 45 [size =\"32073728\"]\n  36 [size=\"90265600\", alpha=\"0.13\", expect_size=\"27079680\"] \n  36 -> 42 [size =\"27079680\"]\n  36 -> 43 [size =\"27079680\"]\n  36 -> 44 [size =\"27079680\"]\n  36 -> 45 [size =\"27079680\"]\n  37 [size=\"89378133\", alpha=\"0.13\", expect_size=\"26813440\"] \n  37 -> 41 [size =\"26813440\"]\n  37 -> 45 [size =\"26813440\"]\n  38 [size=\"167321600\", alpha=\"0.07\", expect_size=\"50196480\"] \n  38 -> 41 [size =\"50196480\"]\n  38 -> 44 [size =\"50196480\"]\n  38 -> 45 [size =\"50196480\"]\n  39 [size=\"66955947\", alpha=\"0.08\", expect_size=\"20086784\"] \n  39 -> 41 [size =\"20086784\"]\n  39 -> 44 [size =\"20086784\"]\n  39 -> 45 [size =\"20086784\"]\n  40 [size=\"105304747\", alpha=\"0.04\", expect_size=\"31591424\"] \n  40 -> 45 [size =\"31591424\"]\n  41 [size=\"125904213\", alpha=\"0.18\", expect_size=\"37771264\"] \n  42 [size=\"67935573\", alpha=\"0.19\", expect_size=\"20380672\"] \n  43 [size=\"136099840\", alpha=\"0.18\", expect_size=\"40829952\"] \n  44 [size=\"39659520\", alpha=\"0.04\", expect_size=\"11897856\"] \n  45 [size=\"57415680\", alpha=\"0.13\", expect_size=\"17224704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56417280\", alpha=\"0.09\", expect_size=\"22566912\"] \n  1 -> 2 [size =\"22566912\"]\n  2 [size=\"50744320\", alpha=\"0.16\", expect_size=\"20297728\"] \n  2 -> 3 [size =\"20297728\"]\n  3 [size=\"60267520\", alpha=\"0.10\", expect_size=\"24107008\"] \n  3 -> 4 [size =\"24107008\"]\n  4 [size=\"13626880\", alpha=\"0.09\", expect_size=\"5450752\"] \n  4 -> 5 [size =\"5450752\"]\n  5 [size=\"66339840\", alpha=\"0.10\", expect_size=\"26535936\"] \n  5 -> 6 [size =\"26535936\"]\n  6 [size=\"65113600\", alpha=\"0.12\", expect_size=\"26045440\"] \n  6 -> 7 [size =\"26045440\"]\n  7 [size=\"83297280\", alpha=\"0.02\", expect_size=\"33318912\"] \n  7 -> 8 [size =\"33318912\"]\n  8 [size=\"121328640\", alpha=\"0.16\", expect_size=\"48531456\"] \n  8 -> 9 [size =\"48531456\"]\n  9 [size=\"73863680\", alpha=\"0.15\", expect_size=\"29545472\"] \n  9 -> 10 [size =\"29545472\"]\n  10 [size=\"103567360\", alpha=\"0.03\", expect_size=\"41426944\"] \n  10 -> 11 [size =\"41426944\"]\n  11 [size=\"73433600\", alpha=\"0.10\", expect_size=\"29373440\"] \n  11 -> 12 [size =\"29373440\"]\n  12 [size=\"126208000\", alpha=\"0.01\", expect_size=\"50483200\"] \n  12 -> 13 [size =\"50483200\"]\n  13 [size=\"103997440\", alpha=\"0.16\", expect_size=\"41598976\"] \n  13 -> 14 [size =\"41598976\"]\n  14 [size=\"45498880\", alpha=\"0.03\", expect_size=\"18199552\"] \n  14 -> 15 [size =\"18199552\"]\n  15 [size=\"96243200\", alpha=\"0.13\", expect_size=\"38497280\"] \n  15 -> 16 [size =\"38497280\"]\n  16 [size=\"38233600\", alpha=\"0.20\", expect_size=\"15293440\"] \n  16 -> 17 [size =\"15293440\"]\n  17 [size=\"106227200\", alpha=\"0.18\", expect_size=\"42490880\"] \n  17 -> 18 [size =\"42490880\"]\n  18 [size=\"118054400\", alpha=\"0.18\", expect_size=\"47221760\"] \n  18 -> 19 [size =\"47221760\"]\n  19 [size=\"93414400\", alpha=\"0.01\", expect_size=\"37365760\"] \n  19 -> 20 [size =\"37365760\"]\n  20 [size=\"63621120\", alpha=\"0.18\", expect_size=\"25448448\"] \n  20 -> 21 [size =\"25448448\"]\n  21 [size=\"81955840\", alpha=\"0.01\", expect_size=\"32782336\"] \n  21 -> 22 [size =\"32782336\"]\n  22 [size=\"24678400\", alpha=\"0.11\", expect_size=\"9871360\"] \n  22 -> 23 [size =\"9871360\"]\n  23 [size=\"29813760\", alpha=\"0.08\", expect_size=\"11925504\"] \n  23 -> 24 [size =\"11925504\"]\n  24 [size=\"121832960\", alpha=\"0.06\", expect_size=\"48733184\"] \n  24 -> 25 [size =\"48733184\"]\n  25 [size=\"23388160\", alpha=\"0.13\", expect_size=\"9355264\"] \n  25 -> 26 [size =\"9355264\"]\n  26 [size=\"102812160\", alpha=\"0.09\", expect_size=\"41124864\"] \n  26 -> 27 [size =\"41124864\"]\n  27 [size=\"100451840\", alpha=\"0.16\", expect_size=\"40180736\"] \n  27 -> 28 [size =\"40180736\"]\n  28 [size=\"88396800\", alpha=\"0.02\", expect_size=\"35358720\"] \n  28 -> 29 [size =\"35358720\"]\n  29 [size=\"73738240\", alpha=\"0.19\", expect_size=\"29495296\"] \n  29 -> 30 [size =\"29495296\"]\n  30 [size=\"82401280\", alpha=\"0.10\", expect_size=\"32960512\"] \n  30 -> 31 [size =\"32960512\"]\n  31 [size=\"67729920\", alpha=\"0.12\", expect_size=\"27091968\"] \n  31 -> 32 [size =\"27091968\"]\n  32 [size=\"73036800\", alpha=\"0.13\", expect_size=\"29214720\"] \n  32 -> 33 [size =\"29214720\"]\n  33 [size=\"17994240\", alpha=\"0.09\", expect_size=\"7197696\"] \n  33 -> 34 [size =\"7197696\"]\n  34 [size=\"67729920\", alpha=\"0.11\", expect_size=\"27091968\"] \n  34 -> 35 [size =\"27091968\"]\n  35 [size=\"104801280\", alpha=\"0.07\", expect_size=\"41920512\"] \n  35 -> 36 [size =\"41920512\"]\n  36 [size=\"64473600\", alpha=\"0.08\", expect_size=\"25789440\"] \n  36 -> 37 [size =\"25789440\"]\n  37 [size=\"116725760\", alpha=\"0.04\", expect_size=\"46690304\"] \n  37 -> 38 [size =\"46690304\"]\n  38 [size=\"95815680\", alpha=\"0.17\", expect_size=\"38326272\"] \n  38 -> 39 [size =\"38326272\"]\n  39 [size=\"109967360\", alpha=\"0.05\", expect_size=\"43986944\"] \n  39 -> 40 [size =\"43986944\"]\n  40 [size=\"101975040\", alpha=\"0.01\", expect_size=\"40790016\"] \n  40 -> 41 [size =\"40790016\"]\n  41 [size=\"44334080\", alpha=\"0.09\", expect_size=\"17733632\"] \n  41 -> 42 [size =\"17733632\"]\n  42 [size=\"115338240\", alpha=\"0.18\", expect_size=\"46135296\"] \n  42 -> 43 [size =\"46135296\"]\n  43 [size=\"74193920\", alpha=\"0.11\", expect_size=\"29677568\"] \n  43 -> 44 [size =\"29677568\"]\n  44 [size=\"129756160\", alpha=\"0.02\", expect_size=\"51902464\"] \n  44 -> 45 [size =\"51902464\"]\n  45 [size=\"78492160\", alpha=\"0.14\", expect_size=\"31396864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42530133\", alpha=\"0.10\", expect_size=\"12759040\"] \n  1 -> 14 [size =\"12759040\"]\n  1 -> 15 [size =\"12759040\"]\n  1 -> 16 [size =\"12759040\"]\n  1 -> 17 [size =\"12759040\"]\n  1 -> 18 [size =\"12759040\"]\n  1 -> 22 [size =\"12759040\"]\n  1 -> 25 [size =\"12759040\"]\n  2 [size=\"109107200\", alpha=\"0.07\", expect_size=\"32732160\"] \n  2 -> 14 [size =\"32732160\"]\n  2 -> 15 [size =\"32732160\"]\n  2 -> 19 [size =\"32732160\"]\n  2 -> 20 [size =\"32732160\"]\n  3 [size=\"133079040\", alpha=\"0.01\", expect_size=\"39923712\"] \n  3 -> 14 [size =\"39923712\"]\n  3 -> 15 [size =\"39923712\"]\n  3 -> 17 [size =\"39923712\"]\n  3 -> 20 [size =\"39923712\"]\n  3 -> 22 [size =\"39923712\"]\n  4 [size=\"34508800\", alpha=\"0.13\", expect_size=\"10352640\"] \n  4 -> 14 [size =\"10352640\"]\n  4 -> 15 [size =\"10352640\"]\n  4 -> 16 [size =\"10352640\"]\n  4 -> 17 [size =\"10352640\"]\n  4 -> 19 [size =\"10352640\"]\n  4 -> 20 [size =\"10352640\"]\n  4 -> 21 [size =\"10352640\"]\n  4 -> 23 [size =\"10352640\"]\n  5 [size=\"100573867\", alpha=\"0.08\", expect_size=\"30172160\"] \n  5 -> 14 [size =\"30172160\"]\n  5 -> 16 [size =\"30172160\"]\n  5 -> 17 [size =\"30172160\"]\n  5 -> 18 [size =\"30172160\"]\n  5 -> 19 [size =\"30172160\"]\n  5 -> 20 [size =\"30172160\"]\n  5 -> 21 [size =\"30172160\"]\n  5 -> 22 [size =\"30172160\"]\n  5 -> 25 [size =\"30172160\"]\n  6 [size=\"128215040\", alpha=\"0.11\", expect_size=\"38464512\"] \n  6 -> 14 [size =\"38464512\"]\n  6 -> 17 [size =\"38464512\"]\n  6 -> 19 [size =\"38464512\"]\n  6 -> 21 [size =\"38464512\"]\n  6 -> 22 [size =\"38464512\"]\n  6 -> 25 [size =\"38464512\"]\n  7 [size=\"106844160\", alpha=\"0.04\", expect_size=\"32053248\"] \n  7 -> 14 [size =\"32053248\"]\n  7 -> 15 [size =\"32053248\"]\n  7 -> 16 [size =\"32053248\"]\n  7 -> 20 [size =\"32053248\"]\n  7 -> 21 [size =\"32053248\"]\n  7 -> 23 [size =\"32053248\"]\n  7 -> 26 [size =\"32053248\"]\n  8 [size=\"33092267\", alpha=\"0.15\", expect_size=\"9927680\"] \n  8 -> 15 [size =\"9927680\"]\n  8 -> 15 [size =\"9927680\"]\n  8 -> 16 [size =\"9927680\"]\n  8 -> 17 [size =\"9927680\"]\n  8 -> 20 [size =\"9927680\"]\n  8 -> 21 [size =\"9927680\"]\n  9 [size=\"122531840\", alpha=\"0.06\", expect_size=\"36759552\"] \n  9 -> 14 [size =\"36759552\"]\n  9 -> 15 [size =\"36759552\"]\n  9 -> 16 [size =\"36759552\"]\n  9 -> 17 [size =\"36759552\"]\n  9 -> 21 [size =\"36759552\"]\n  9 -> 23 [size =\"36759552\"]\n  9 -> 24 [size =\"36759552\"]\n  10 [size=\"171458560\", alpha=\"0.17\", expect_size=\"51437568\"] \n  10 -> 14 [size =\"51437568\"]\n  10 -> 15 [size =\"51437568\"]\n  10 -> 17 [size =\"51437568\"]\n  10 -> 18 [size =\"51437568\"]\n  10 -> 21 [size =\"51437568\"]\n  10 -> 22 [size =\"51437568\"]\n  10 -> 23 [size =\"51437568\"]\n  11 [size=\"56743253\", alpha=\"0.19\", expect_size=\"17022976\"] \n  11 -> 14 [size =\"17022976\"]\n  11 -> 15 [size =\"17022976\"]\n  11 -> 16 [size =\"17022976\"]\n  11 -> 19 [size =\"17022976\"]\n  11 -> 20 [size =\"17022976\"]\n  11 -> 21 [size =\"17022976\"]\n  11 -> 22 [size =\"17022976\"]\n  11 -> 23 [size =\"17022976\"]\n  12 [size=\"133283840\", alpha=\"0.08\", expect_size=\"39985152\"] \n  12 -> 14 [size =\"39985152\"]\n  12 -> 15 [size =\"39985152\"]\n  12 -> 17 [size =\"39985152\"]\n  12 -> 19 [size =\"39985152\"]\n  12 -> 21 [size =\"39985152\"]\n  12 -> 22 [size =\"39985152\"]\n  12 -> 23 [size =\"39985152\"]\n  12 -> 26 [size =\"39985152\"]\n  13 [size=\"30733653\", alpha=\"0.13\", expect_size=\"9220096\"] \n  13 -> 14 [size =\"9220096\"]\n  13 -> 15 [size =\"9220096\"]\n  13 -> 16 [size =\"9220096\"]\n  13 -> 17 [size =\"9220096\"]\n  13 -> 18 [size =\"9220096\"]\n  13 -> 19 [size =\"9220096\"]\n  13 -> 20 [size =\"9220096\"]\n  13 -> 21 [size =\"9220096\"]\n  13 -> 22 [size =\"9220096\"]\n  14 [size=\"37010773\", alpha=\"0.04\", expect_size=\"11103232\"] \n  14 -> 27 [size =\"11103232\"]\n  14 -> 29 [size =\"11103232\"]\n  14 -> 30 [size =\"11103232\"]\n  14 -> 32 [size =\"11103232\"]\n  14 -> 33 [size =\"11103232\"]\n  14 -> 34 [size =\"11103232\"]\n  14 -> 37 [size =\"11103232\"]\n  14 -> 38 [size =\"11103232\"]\n  15 [size=\"138516480\", alpha=\"0.16\", expect_size=\"41554944\"] \n  15 -> 27 [size =\"41554944\"]\n  15 -> 28 [size =\"41554944\"]\n  15 -> 29 [size =\"41554944\"]\n  15 -> 30 [size =\"41554944\"]\n  15 -> 31 [size =\"41554944\"]\n  15 -> 33 [size =\"41554944\"]\n  15 -> 34 [size =\"41554944\"]\n  15 -> 35 [size =\"41554944\"]\n  15 -> 37 [size =\"41554944\"]\n  15 -> 40 [size =\"41554944\"]\n  16 [size=\"45448533\", alpha=\"0.16\", expect_size=\"13634560\"] \n  16 -> 27 [size =\"13634560\"]\n  16 -> 28 [size =\"13634560\"]\n  16 -> 29 [size =\"13634560\"]\n  16 -> 30 [size =\"13634560\"]\n  16 -> 31 [size =\"13634560\"]\n  16 -> 32 [size =\"13634560\"]\n  16 -> 33 [size =\"13634560\"]\n  16 -> 34 [size =\"13634560\"]\n  16 -> 35 [size =\"13634560\"]\n  16 -> 38 [size =\"13634560\"]\n  16 -> 40 [size =\"13634560\"]\n  17 [size=\"129293653\", alpha=\"0.01\", expect_size=\"38788096\"] \n  17 -> 27 [size =\"38788096\"]\n  17 -> 29 [size =\"38788096\"]\n  17 -> 30 [size =\"38788096\"]\n  17 -> 30 [size =\"38788096\"]\n  17 -> 31 [size =\"38788096\"]\n  17 -> 33 [size =\"38788096\"]\n  17 -> 35 [size =\"38788096\"]\n  17 -> 40 [size =\"38788096\"]\n  18 [size=\"160812373\", alpha=\"0.10\", expect_size=\"48243712\"] \n  18 -> 27 [size =\"48243712\"]\n  18 -> 30 [size =\"48243712\"]\n  18 -> 31 [size =\"48243712\"]\n  18 -> 33 [size =\"48243712\"]\n  18 -> 34 [size =\"48243712\"]\n  18 -> 36 [size =\"48243712\"]\n  18 -> 40 [size =\"48243712\"]\n  19 [size=\"123187200\", alpha=\"0.19\", expect_size=\"36956160\"] \n  19 -> 28 [size =\"36956160\"]\n  19 -> 30 [size =\"36956160\"]\n  19 -> 31 [size =\"36956160\"]\n  19 -> 34 [size =\"36956160\"]\n  19 -> 36 [size =\"36956160\"]\n  19 -> 36 [size =\"36956160\"]\n  20 [size=\"173585067\", alpha=\"0.11\", expect_size=\"52075520\"] \n  20 -> 28 [size =\"52075520\"]\n  20 -> 30 [size =\"52075520\"]\n  20 -> 31 [size =\"52075520\"]\n  20 -> 35 [size =\"52075520\"]\n  20 -> 36 [size =\"52075520\"]\n  20 -> 37 [size =\"52075520\"]\n  20 -> 39 [size =\"52075520\"]\n  21 [size=\"146725547\", alpha=\"0.07\", expect_size=\"44017664\"] \n  21 -> 28 [size =\"44017664\"]\n  21 -> 30 [size =\"44017664\"]\n  22 [size=\"140827307\", alpha=\"0.15\", expect_size=\"42248192\"] \n  22 -> 28 [size =\"42248192\"]\n  22 -> 33 [size =\"42248192\"]\n  22 -> 36 [size =\"42248192\"]\n  22 -> 39 [size =\"42248192\"]\n  23 [size=\"45755733\", alpha=\"0.17\", expect_size=\"13726720\"] \n  23 -> 28 [size =\"13726720\"]\n  23 -> 30 [size =\"13726720\"]\n  23 -> 31 [size =\"13726720\"]\n  23 -> 33 [size =\"13726720\"]\n  23 -> 39 [size =\"13726720\"]\n  23 -> 40 [size =\"13726720\"]\n  24 [size=\"145169067\", alpha=\"0.02\", expect_size=\"43550720\"] \n  24 -> 27 [size =\"43550720\"]\n  24 -> 28 [size =\"43550720\"]\n  24 -> 31 [size =\"43550720\"]\n  24 -> 32 [size =\"43550720\"]\n  24 -> 33 [size =\"43550720\"]\n  24 -> 39 [size =\"43550720\"]\n  25 [size=\"20353707\", alpha=\"0.17\", expect_size=\"6106112\"] \n  25 -> 27 [size =\"6106112\"]\n  25 -> 28 [size =\"6106112\"]\n  25 -> 30 [size =\"6106112\"]\n  25 -> 33 [size =\"6106112\"]\n  25 -> 33 [size =\"6106112\"]\n  25 -> 34 [size =\"6106112\"]\n  25 -> 39 [size =\"6106112\"]\n  25 -> 40 [size =\"6106112\"]\n  26 [size=\"147712000\", alpha=\"0.06\", expect_size=\"44313600\"] \n  26 -> 27 [size =\"44313600\"]\n  26 -> 28 [size =\"44313600\"]\n  26 -> 30 [size =\"44313600\"]\n  26 -> 33 [size =\"44313600\"]\n  26 -> 37 [size =\"44313600\"]\n  26 -> 39 [size =\"44313600\"]\n  26 -> 39 [size =\"44313600\"]\n  27 [size=\"117777067\", alpha=\"0.07\", expect_size=\"35333120\"] \n  27 -> 42 [size =\"35333120\"]\n  28 [size=\"127668907\", alpha=\"0.09\", expect_size=\"38300672\"] \n  28 -> 42 [size =\"38300672\"]\n  28 -> 43 [size =\"38300672\"]\n  29 [size=\"49609387\", alpha=\"0.05\", expect_size=\"14882816\"] \n  29 -> 42 [size =\"14882816\"]\n  29 -> 44 [size =\"14882816\"]\n  30 [size=\"38352213\", alpha=\"0.00\", expect_size=\"11505664\"] \n  30 -> 41 [size =\"11505664\"]\n  30 -> 42 [size =\"11505664\"]\n  30 -> 44 [size =\"11505664\"]\n  31 [size=\"127754240\", alpha=\"0.01\", expect_size=\"38326272\"] \n  32 [size=\"28296533\", alpha=\"0.16\", expect_size=\"8488960\"] \n  32 -> 44 [size =\"8488960\"]\n  32 -> 45 [size =\"8488960\"]\n  33 [size=\"146186240\", alpha=\"0.13\", expect_size=\"43855872\"] \n  33 -> 43 [size =\"43855872\"]\n  33 -> 44 [size =\"43855872\"]\n  34 [size=\"125170347\", alpha=\"0.12\", expect_size=\"37551104\"] \n  34 -> 42 [size =\"37551104\"]\n  35 [size=\"139567787\", alpha=\"0.07\", expect_size=\"41870336\"] \n  35 -> 43 [size =\"41870336\"]\n  36 [size=\"115186347\", alpha=\"0.05\", expect_size=\"34555904\"] \n  36 -> 43 [size =\"34555904\"]\n  37 [size=\"162775040\", alpha=\"0.18\", expect_size=\"48832512\"] \n  37 -> 41 [size =\"48832512\"]\n  37 -> 42 [size =\"48832512\"]\n  37 -> 43 [size =\"48832512\"]\n  37 -> 45 [size =\"48832512\"]\n  38 [size=\"57122133\", alpha=\"0.08\", expect_size=\"17136640\"] \n  38 -> 41 [size =\"17136640\"]\n  38 -> 42 [size =\"17136640\"]\n  38 -> 43 [size =\"17136640\"]\n  39 [size=\"128426667\", alpha=\"0.13\", expect_size=\"38528000\"] \n  39 -> 42 [size =\"38528000\"]\n  39 -> 43 [size =\"38528000\"]\n  39 -> 45 [size =\"38528000\"]\n  40 [size=\"167168000\", alpha=\"0.17\", expect_size=\"50150400\"] \n  40 -> 43 [size =\"50150400\"]\n  40 -> 44 [size =\"50150400\"]\n  41 [size=\"170045440\", alpha=\"0.17\", expect_size=\"51013632\"] \n  42 [size=\"19039573\", alpha=\"0.13\", expect_size=\"5711872\"] \n  43 [size=\"144537600\", alpha=\"0.13\", expect_size=\"43361280\"] \n  44 [size=\"87934293\", alpha=\"0.09\", expect_size=\"26380288\"] \n  45 [size=\"26057387\", alpha=\"0.05\", expect_size=\"7817216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86671360\", alpha=\"0.01\", expect_size=\"34668544\"] \n  1 -> 32 [size =\"34668544\"]\n  1 -> 33 [size =\"34668544\"]\n  1 -> 34 [size =\"34668544\"]\n  1 -> 39 [size =\"34668544\"]\n  1 -> 44 [size =\"34668544\"]\n  1 -> 45 [size =\"34668544\"]\n  2 [size=\"82245120\", alpha=\"0.04\", expect_size=\"32898048\"] \n  2 -> 36 [size =\"32898048\"]\n  2 -> 37 [size =\"32898048\"]\n  2 -> 39 [size =\"32898048\"]\n  3 [size=\"19842560\", alpha=\"0.05\", expect_size=\"7937024\"] \n  3 -> 34 [size =\"7937024\"]\n  3 -> 35 [size =\"7937024\"]\n  3 -> 36 [size =\"7937024\"]\n  3 -> 39 [size =\"7937024\"]\n  3 -> 44 [size =\"7937024\"]\n  3 -> 45 [size =\"7937024\"]\n  4 [size=\"22023680\", alpha=\"0.04\", expect_size=\"8809472\"] \n  4 -> 36 [size =\"8809472\"]\n  4 -> 39 [size =\"8809472\"]\n  4 -> 40 [size =\"8809472\"]\n  5 [size=\"80990720\", alpha=\"0.18\", expect_size=\"32396288\"] \n  5 -> 32 [size =\"32396288\"]\n  5 -> 35 [size =\"32396288\"]\n  5 -> 36 [size =\"32396288\"]\n  5 -> 39 [size =\"32396288\"]\n  5 -> 44 [size =\"32396288\"]\n  5 -> 45 [size =\"32396288\"]\n  6 [size=\"31114240\", alpha=\"0.01\", expect_size=\"12445696\"] \n  6 -> 34 [size =\"12445696\"]\n  6 -> 36 [size =\"12445696\"]\n  6 -> 36 [size =\"12445696\"]\n  6 -> 37 [size =\"12445696\"]\n  6 -> 39 [size =\"12445696\"]\n  7 [size=\"33039360\", alpha=\"0.10\", expect_size=\"13215744\"] \n  7 -> 34 [size =\"13215744\"]\n  7 -> 36 [size =\"13215744\"]\n  7 -> 37 [size =\"13215744\"]\n  7 -> 42 [size =\"13215744\"]\n  7 -> 43 [size =\"13215744\"]\n  8 [size=\"74890240\", alpha=\"0.12\", expect_size=\"29956096\"] \n  8 -> 32 [size =\"29956096\"]\n  8 -> 33 [size =\"29956096\"]\n  8 -> 35 [size =\"29956096\"]\n  8 -> 36 [size =\"29956096\"]\n  8 -> 37 [size =\"29956096\"]\n  8 -> 39 [size =\"29956096\"]\n  8 -> 42 [size =\"29956096\"]\n  9 [size=\"59504640\", alpha=\"0.08\", expect_size=\"23801856\"] \n  9 -> 32 [size =\"23801856\"]\n  9 -> 35 [size =\"23801856\"]\n  9 -> 36 [size =\"23801856\"]\n  9 -> 36 [size =\"23801856\"]\n  9 -> 37 [size =\"23801856\"]\n  9 -> 39 [size =\"23801856\"]\n  9 -> 42 [size =\"23801856\"]\n  9 -> 44 [size =\"23801856\"]\n  9 -> 45 [size =\"23801856\"]\n  10 [size=\"82810880\", alpha=\"0.18\", expect_size=\"33124352\"] \n  10 -> 32 [size =\"33124352\"]\n  10 -> 34 [size =\"33124352\"]\n  10 -> 43 [size =\"33124352\"]\n  11 [size=\"29470720\", alpha=\"0.07\", expect_size=\"11788288\"] \n  11 -> 32 [size =\"11788288\"]\n  11 -> 34 [size =\"11788288\"]\n  11 -> 35 [size =\"11788288\"]\n  11 -> 36 [size =\"11788288\"]\n  11 -> 39 [size =\"11788288\"]\n  11 -> 44 [size =\"11788288\"]\n  12 [size=\"33594880\", alpha=\"0.01\", expect_size=\"13437952\"] \n  12 -> 32 [size =\"13437952\"]\n  12 -> 34 [size =\"13437952\"]\n  12 -> 35 [size =\"13437952\"]\n  12 -> 37 [size =\"13437952\"]\n  12 -> 39 [size =\"13437952\"]\n  12 -> 43 [size =\"13437952\"]\n  13 [size=\"55024640\", alpha=\"0.12\", expect_size=\"22009856\"] \n  13 -> 32 [size =\"22009856\"]\n  13 -> 34 [size =\"22009856\"]\n  13 -> 35 [size =\"22009856\"]\n  14 [size=\"86248960\", alpha=\"0.09\", expect_size=\"34499584\"] \n  14 -> 32 [size =\"34499584\"]\n  14 -> 33 [size =\"34499584\"]\n  14 -> 34 [size =\"34499584\"]\n  14 -> 35 [size =\"34499584\"]\n  14 -> 42 [size =\"34499584\"]\n  15 [size=\"112760320\", alpha=\"0.11\", expect_size=\"45104128\"] \n  15 -> 33 [size =\"45104128\"]\n  15 -> 34 [size =\"45104128\"]\n  15 -> 34 [size =\"45104128\"]\n  15 -> 36 [size =\"45104128\"]\n  15 -> 37 [size =\"45104128\"]\n  16 [size=\"101795840\", alpha=\"0.17\", expect_size=\"40718336\"] \n  16 -> 32 [size =\"40718336\"]\n  16 -> 33 [size =\"40718336\"]\n  16 -> 36 [size =\"40718336\"]\n  16 -> 37 [size =\"40718336\"]\n  16 -> 43 [size =\"40718336\"]\n  17 [size=\"107276800\", alpha=\"0.10\", expect_size=\"42910720\"] \n  17 -> 32 [size =\"42910720\"]\n  17 -> 33 [size =\"42910720\"]\n  17 -> 34 [size =\"42910720\"]\n  17 -> 35 [size =\"42910720\"]\n  17 -> 36 [size =\"42910720\"]\n  17 -> 37 [size =\"42910720\"]\n  17 -> 38 [size =\"42910720\"]\n  17 -> 39 [size =\"42910720\"]\n  17 -> 45 [size =\"42910720\"]\n  18 [size=\"47882240\", alpha=\"0.14\", expect_size=\"19152896\"] \n  18 -> 33 [size =\"19152896\"]\n  18 -> 34 [size =\"19152896\"]\n  18 -> 35 [size =\"19152896\"]\n  18 -> 36 [size =\"19152896\"]\n  18 -> 41 [size =\"19152896\"]\n  18 -> 42 [size =\"19152896\"]\n  18 -> 45 [size =\"19152896\"]\n  19 [size=\"116940800\", alpha=\"0.08\", expect_size=\"46776320\"] \n  19 -> 34 [size =\"46776320\"]\n  19 -> 35 [size =\"46776320\"]\n  19 -> 36 [size =\"46776320\"]\n  19 -> 37 [size =\"46776320\"]\n  19 -> 41 [size =\"46776320\"]\n  19 -> 44 [size =\"46776320\"]\n  20 [size=\"44559360\", alpha=\"0.10\", expect_size=\"17823744\"] \n  20 -> 34 [size =\"17823744\"]\n  20 -> 35 [size =\"17823744\"]\n  21 [size=\"35292160\", alpha=\"0.05\", expect_size=\"14116864\"] \n  21 -> 33 [size =\"14116864\"]\n  21 -> 34 [size =\"14116864\"]\n  21 -> 35 [size =\"14116864\"]\n  21 -> 37 [size =\"14116864\"]\n  21 -> 38 [size =\"14116864\"]\n  21 -> 39 [size =\"14116864\"]\n  21 -> 41 [size =\"14116864\"]\n  21 -> 45 [size =\"14116864\"]\n  22 [size=\"75535360\", alpha=\"0.11\", expect_size=\"30214144\"] \n  22 -> 34 [size =\"30214144\"]\n  22 -> 35 [size =\"30214144\"]\n  22 -> 35 [size =\"30214144\"]\n  22 -> 36 [size =\"30214144\"]\n  22 -> 42 [size =\"30214144\"]\n  22 -> 43 [size =\"30214144\"]\n  22 -> 45 [size =\"30214144\"]\n  23 [size=\"82680320\", alpha=\"0.18\", expect_size=\"33072128\"] \n  23 -> 32 [size =\"33072128\"]\n  23 -> 35 [size =\"33072128\"]\n  23 -> 36 [size =\"33072128\"]\n  23 -> 37 [size =\"33072128\"]\n  23 -> 39 [size =\"33072128\"]\n  23 -> 44 [size =\"33072128\"]\n  23 -> 45 [size =\"33072128\"]\n  24 [size=\"34442240\", alpha=\"0.07\", expect_size=\"13776896\"] \n  24 -> 34 [size =\"13776896\"]\n  24 -> 35 [size =\"13776896\"]\n  24 -> 36 [size =\"13776896\"]\n  24 -> 37 [size =\"13776896\"]\n  24 -> 40 [size =\"13776896\"]\n  25 [size=\"87477760\", alpha=\"0.08\", expect_size=\"34991104\"] \n  25 -> 36 [size =\"34991104\"]\n  25 -> 37 [size =\"34991104\"]\n  25 -> 39 [size =\"34991104\"]\n  25 -> 40 [size =\"34991104\"]\n  25 -> 43 [size =\"34991104\"]\n  25 -> 44 [size =\"34991104\"]\n  26 [size=\"32465920\", alpha=\"0.11\", expect_size=\"12986368\"] \n  26 -> 31 [size =\"12986368\"]\n  26 -> 33 [size =\"12986368\"]\n  26 -> 35 [size =\"12986368\"]\n  26 -> 37 [size =\"12986368\"]\n  26 -> 39 [size =\"12986368\"]\n  26 -> 42 [size =\"12986368\"]\n  26 -> 44 [size =\"12986368\"]\n  27 [size=\"15011840\", alpha=\"0.18\", expect_size=\"6004736\"] \n  27 -> 32 [size =\"6004736\"]\n  27 -> 33 [size =\"6004736\"]\n  27 -> 37 [size =\"6004736\"]\n  27 -> 37 [size =\"6004736\"]\n  27 -> 39 [size =\"6004736\"]\n  27 -> 44 [size =\"6004736\"]\n  27 -> 45 [size =\"6004736\"]\n  28 [size=\"76610560\", alpha=\"0.15\", expect_size=\"30644224\"] \n  28 -> 33 [size =\"30644224\"]\n  28 -> 37 [size =\"30644224\"]\n  28 -> 39 [size =\"30644224\"]\n  28 -> 45 [size =\"30644224\"]\n  29 [size=\"43136000\", alpha=\"0.00\", expect_size=\"17254400\"] \n  29 -> 32 [size =\"17254400\"]\n  29 -> 33 [size =\"17254400\"]\n  29 -> 34 [size =\"17254400\"]\n  29 -> 37 [size =\"17254400\"]\n  29 -> 39 [size =\"17254400\"]\n  30 [size=\"91435520\", alpha=\"0.17\", expect_size=\"36574208\"] \n  30 -> 39 [size =\"36574208\"]\n  30 -> 45 [size =\"36574208\"]\n  31 [size=\"33802240\", alpha=\"0.17\", expect_size=\"13520896\"] \n  32 [size=\"61767680\", alpha=\"0.00\", expect_size=\"24707072\"] \n  33 [size=\"126504960\", alpha=\"0.11\", expect_size=\"50601984\"] \n  34 [size=\"116787200\", alpha=\"0.13\", expect_size=\"46714880\"] \n  35 [size=\"41528320\", alpha=\"0.13\", expect_size=\"16611328\"] \n  36 [size=\"86581760\", alpha=\"0.08\", expect_size=\"34632704\"] \n  37 [size=\"34022400\", alpha=\"0.18\", expect_size=\"13608960\"] \n  38 [size=\"21752320\", alpha=\"0.15\", expect_size=\"8700928\"] \n  39 [size=\"111557120\", alpha=\"0.09\", expect_size=\"44622848\"] \n  40 [size=\"113902080\", alpha=\"0.09\", expect_size=\"45560832\"] \n  41 [size=\"98493440\", alpha=\"0.12\", expect_size=\"39397376\"] \n  42 [size=\"81694720\", alpha=\"0.06\", expect_size=\"32677888\"] \n  43 [size=\"83996160\", alpha=\"0.11\", expect_size=\"33598464\"] \n  44 [size=\"29352960\", alpha=\"0.01\", expect_size=\"11741184\"] \n  45 [size=\"108869120\", alpha=\"0.02\", expect_size=\"43547648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95121408\", alpha=\"0.19\", expect_size=\"47560704\"] \n  1 -> 15 [size =\"47560704\"]\n  1 -> 16 [size =\"47560704\"]\n  1 -> 17 [size =\"47560704\"]\n  1 -> 18 [size =\"47560704\"]\n  1 -> 19 [size =\"47560704\"]\n  1 -> 20 [size =\"47560704\"]\n  1 -> 25 [size =\"47560704\"]\n  1 -> 27 [size =\"47560704\"]\n  2 [size=\"82624512\", alpha=\"0.04\", expect_size=\"41312256\"] \n  2 -> 16 [size =\"41312256\"]\n  2 -> 17 [size =\"41312256\"]\n  2 -> 18 [size =\"41312256\"]\n  2 -> 18 [size =\"41312256\"]\n  2 -> 27 [size =\"41312256\"]\n  3 [size=\"36438016\", alpha=\"0.03\", expect_size=\"18219008\"] \n  3 -> 15 [size =\"18219008\"]\n  3 -> 16 [size =\"18219008\"]\n  3 -> 17 [size =\"18219008\"]\n  3 -> 18 [size =\"18219008\"]\n  3 -> 24 [size =\"18219008\"]\n  3 -> 25 [size =\"18219008\"]\n  4 [size=\"40501248\", alpha=\"0.20\", expect_size=\"20250624\"] \n  4 -> 17 [size =\"20250624\"]\n  4 -> 19 [size =\"20250624\"]\n  4 -> 23 [size =\"20250624\"]\n  4 -> 25 [size =\"20250624\"]\n  5 [size=\"34844672\", alpha=\"0.14\", expect_size=\"17422336\"] \n  5 -> 15 [size =\"17422336\"]\n  5 -> 16 [size =\"17422336\"]\n  5 -> 17 [size =\"17422336\"]\n  5 -> 18 [size =\"17422336\"]\n  5 -> 19 [size =\"17422336\"]\n  5 -> 20 [size =\"17422336\"]\n  5 -> 27 [size =\"17422336\"]\n  6 [size=\"91238400\", alpha=\"0.15\", expect_size=\"45619200\"] \n  6 -> 16 [size =\"45619200\"]\n  6 -> 16 [size =\"45619200\"]\n  6 -> 17 [size =\"45619200\"]\n  6 -> 18 [size =\"45619200\"]\n  6 -> 21 [size =\"45619200\"]\n  6 -> 25 [size =\"45619200\"]\n  7 [size=\"46802944\", alpha=\"0.03\", expect_size=\"23401472\"] \n  7 -> 19 [size =\"23401472\"]\n  7 -> 21 [size =\"23401472\"]\n  8 [size=\"12681216\", alpha=\"0.11\", expect_size=\"6340608\"] \n  8 -> 15 [size =\"6340608\"]\n  8 -> 16 [size =\"6340608\"]\n  8 -> 19 [size =\"6340608\"]\n  8 -> 20 [size =\"6340608\"]\n  9 [size=\"62056448\", alpha=\"0.06\", expect_size=\"31028224\"] \n  9 -> 15 [size =\"31028224\"]\n  9 -> 16 [size =\"31028224\"]\n  9 -> 19 [size =\"31028224\"]\n  9 -> 23 [size =\"31028224\"]\n  9 -> 27 [size =\"31028224\"]\n  10 [size=\"38137856\", alpha=\"0.10\", expect_size=\"19068928\"] \n  10 -> 15 [size =\"19068928\"]\n  10 -> 16 [size =\"19068928\"]\n  10 -> 17 [size =\"19068928\"]\n  10 -> 20 [size =\"19068928\"]\n  11 [size=\"43184128\", alpha=\"0.11\", expect_size=\"21592064\"] \n  11 -> 15 [size =\"21592064\"]\n  11 -> 16 [size =\"21592064\"]\n  11 -> 20 [size =\"21592064\"]\n  11 -> 20 [size =\"21592064\"]\n  12 [size=\"36923392\", alpha=\"0.14\", expect_size=\"18461696\"] \n  12 -> 15 [size =\"18461696\"]\n  12 -> 16 [size =\"18461696\"]\n  12 -> 17 [size =\"18461696\"]\n  12 -> 18 [size =\"18461696\"]\n  12 -> 19 [size =\"18461696\"]\n  12 -> 20 [size =\"18461696\"]\n  12 -> 22 [size =\"18461696\"]\n  12 -> 24 [size =\"18461696\"]\n  13 [size=\"54880256\", alpha=\"0.02\", expect_size=\"27440128\"] \n  13 -> 15 [size =\"27440128\"]\n  13 -> 17 [size =\"27440128\"]\n  13 -> 18 [size =\"27440128\"]\n  13 -> 18 [size =\"27440128\"]\n  13 -> 19 [size =\"27440128\"]\n  13 -> 21 [size =\"27440128\"]\n  13 -> 25 [size =\"27440128\"]\n  13 -> 26 [size =\"27440128\"]\n  14 [size=\"68988928\", alpha=\"0.13\", expect_size=\"34494464\"] \n  14 -> 15 [size =\"34494464\"]\n  14 -> 16 [size =\"34494464\"]\n  14 -> 17 [size =\"34494464\"]\n  14 -> 18 [size =\"34494464\"]\n  14 -> 19 [size =\"34494464\"]\n  14 -> 27 [size =\"34494464\"]\n  15 [size=\"67969024\", alpha=\"0.06\", expect_size=\"33984512\"] \n  15 -> 30 [size =\"33984512\"]\n  15 -> 32 [size =\"33984512\"]\n  15 -> 35 [size =\"33984512\"]\n  15 -> 36 [size =\"33984512\"]\n  15 -> 38 [size =\"33984512\"]\n  16 [size=\"38500352\", alpha=\"0.12\", expect_size=\"19250176\"] \n  16 -> 32 [size =\"19250176\"]\n  16 -> 35 [size =\"19250176\"]\n  16 -> 38 [size =\"19250176\"]\n  17 [size=\"15656960\", alpha=\"0.07\", expect_size=\"7828480\"] \n  17 -> 29 [size =\"7828480\"]\n  17 -> 36 [size =\"7828480\"]\n  17 -> 37 [size =\"7828480\"]\n  18 [size=\"27768832\", alpha=\"0.02\", expect_size=\"13884416\"] \n  18 -> 29 [size =\"13884416\"]\n  18 -> 30 [size =\"13884416\"]\n  18 -> 38 [size =\"13884416\"]\n  19 [size=\"80064512\", alpha=\"0.06\", expect_size=\"40032256\"] \n  19 -> 28 [size =\"40032256\"]\n  19 -> 30 [size =\"40032256\"]\n  19 -> 31 [size =\"40032256\"]\n  19 -> 32 [size =\"40032256\"]\n  19 -> 33 [size =\"40032256\"]\n  19 -> 37 [size =\"40032256\"]\n  19 -> 38 [size =\"40032256\"]\n  19 -> 39 [size =\"40032256\"]\n  20 [size=\"13803520\", alpha=\"0.17\", expect_size=\"6901760\"] \n  20 -> 32 [size =\"6901760\"]\n  20 -> 34 [size =\"6901760\"]\n  20 -> 35 [size =\"6901760\"]\n  20 -> 38 [size =\"6901760\"]\n  21 [size=\"62826496\", alpha=\"0.06\", expect_size=\"31413248\"] \n  21 -> 29 [size =\"31413248\"]\n  21 -> 32 [size =\"31413248\"]\n  21 -> 34 [size =\"31413248\"]\n  21 -> 35 [size =\"31413248\"]\n  21 -> 37 [size =\"31413248\"]\n  21 -> 38 [size =\"31413248\"]\n  22 [size=\"19273728\", alpha=\"0.11\", expect_size=\"9636864\"] \n  22 -> 30 [size =\"9636864\"]\n  22 -> 31 [size =\"9636864\"]\n  22 -> 35 [size =\"9636864\"]\n  22 -> 35 [size =\"9636864\"]\n  22 -> 36 [size =\"9636864\"]\n  22 -> 37 [size =\"9636864\"]\n  22 -> 38 [size =\"9636864\"]\n  23 [size=\"84989952\", alpha=\"0.00\", expect_size=\"42494976\"] \n  23 -> 35 [size =\"42494976\"]\n  23 -> 39 [size =\"42494976\"]\n  24 [size=\"92891136\", alpha=\"0.17\", expect_size=\"46445568\"] \n  24 -> 30 [size =\"46445568\"]\n  24 -> 35 [size =\"46445568\"]\n  24 -> 37 [size =\"46445568\"]\n  24 -> 39 [size =\"46445568\"]\n  24 -> 40 [size =\"46445568\"]\n  25 [size=\"57810944\", alpha=\"0.18\", expect_size=\"28905472\"] \n  25 -> 32 [size =\"28905472\"]\n  25 -> 34 [size =\"28905472\"]\n  25 -> 35 [size =\"28905472\"]\n  25 -> 37 [size =\"28905472\"]\n  25 -> 38 [size =\"28905472\"]\n  25 -> 40 [size =\"28905472\"]\n  26 [size=\"85452800\", alpha=\"0.17\", expect_size=\"42726400\"] \n  26 -> 30 [size =\"42726400\"]\n  26 -> 32 [size =\"42726400\"]\n  26 -> 37 [size =\"42726400\"]\n  26 -> 38 [size =\"42726400\"]\n  26 -> 38 [size =\"42726400\"]\n  26 -> 39 [size =\"42726400\"]\n  26 -> 40 [size =\"42726400\"]\n  27 [size=\"46499840\", alpha=\"0.03\", expect_size=\"23249920\"] \n  27 -> 31 [size =\"23249920\"]\n  27 -> 32 [size =\"23249920\"]\n  27 -> 34 [size =\"23249920\"]\n  27 -> 36 [size =\"23249920\"]\n  27 -> 38 [size =\"23249920\"]\n  28 [size=\"77692928\", alpha=\"0.09\", expect_size=\"38846464\"] \n  28 -> 41 [size =\"38846464\"]\n  28 -> 42 [size =\"38846464\"]\n  28 -> 43 [size =\"38846464\"]\n  29 [size=\"88723456\", alpha=\"0.07\", expect_size=\"44361728\"] \n  29 -> 41 [size =\"44361728\"]\n  29 -> 42 [size =\"44361728\"]\n  29 -> 43 [size =\"44361728\"]\n  29 -> 45 [size =\"44361728\"]\n  30 [size=\"23083008\", alpha=\"0.10\", expect_size=\"11541504\"] \n  30 -> 41 [size =\"11541504\"]\n  30 -> 43 [size =\"11541504\"]\n  31 [size=\"104306688\", alpha=\"0.01\", expect_size=\"52153344\"] \n  31 -> 41 [size =\"52153344\"]\n  31 -> 43 [size =\"52153344\"]\n  31 -> 44 [size =\"52153344\"]\n  32 [size=\"39546880\", alpha=\"0.17\", expect_size=\"19773440\"] \n  32 -> 41 [size =\"19773440\"]\n  32 -> 43 [size =\"19773440\"]\n  32 -> 45 [size =\"19773440\"]\n  33 [size=\"89686016\", alpha=\"0.02\", expect_size=\"44843008\"] \n  33 -> 41 [size =\"44843008\"]\n  33 -> 44 [size =\"44843008\"]\n  34 [size=\"91932672\", alpha=\"0.20\", expect_size=\"45966336\"] \n  34 -> 43 [size =\"45966336\"]\n  34 -> 44 [size =\"45966336\"]\n  35 [size=\"76306432\", alpha=\"0.10\", expect_size=\"38153216\"] \n  35 -> 41 [size =\"38153216\"]\n  35 -> 43 [size =\"38153216\"]\n  36 [size=\"67164160\", alpha=\"0.06\", expect_size=\"33582080\"] \n  36 -> 42 [size =\"33582080\"]\n  36 -> 43 [size =\"33582080\"]\n  37 [size=\"50890752\", alpha=\"0.03\", expect_size=\"25445376\"] \n  37 -> 43 [size =\"25445376\"]\n  37 -> 43 [size =\"25445376\"]\n  38 [size=\"63801344\", alpha=\"0.03\", expect_size=\"31900672\"] \n  38 -> 41 [size =\"31900672\"]\n  38 -> 42 [size =\"31900672\"]\n  39 [size=\"13723648\", alpha=\"0.19\", expect_size=\"6861824\"] \n  39 -> 41 [size =\"6861824\"]\n  39 -> 42 [size =\"6861824\"]\n  39 -> 43 [size =\"6861824\"]\n  40 [size=\"46598144\", alpha=\"0.15\", expect_size=\"23299072\"] \n  40 -> 41 [size =\"23299072\"]\n  40 -> 42 [size =\"23299072\"]\n  40 -> 43 [size =\"23299072\"]\n  41 [size=\"95705088\", alpha=\"0.02\", expect_size=\"47852544\"] \n  42 [size=\"99373056\", alpha=\"0.11\", expect_size=\"49686528\"] \n  43 [size=\"84041728\", alpha=\"0.16\", expect_size=\"42020864\"] \n  44 [size=\"94103552\", alpha=\"0.18\", expect_size=\"47051776\"] \n  45 [size=\"93689856\", alpha=\"0.11\", expect_size=\"46844928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40787968\", alpha=\"0.19\", expect_size=\"20393984\"] \n  1 -> 2 [size =\"20393984\"]\n  2 [size=\"11608064\", alpha=\"0.02\", expect_size=\"5804032\"] \n  2 -> 3 [size =\"5804032\"]\n  3 [size=\"99928064\", alpha=\"0.18\", expect_size=\"49964032\"] \n  3 -> 4 [size =\"49964032\"]\n  4 [size=\"98172928\", alpha=\"0.08\", expect_size=\"49086464\"] \n  4 -> 5 [size =\"49086464\"]\n  5 [size=\"69910528\", alpha=\"0.02\", expect_size=\"34955264\"] \n  5 -> 6 [size =\"34955264\"]\n  6 [size=\"99016704\", alpha=\"0.16\", expect_size=\"49508352\"] \n  6 -> 7 [size =\"49508352\"]\n  7 [size=\"51978240\", alpha=\"0.14\", expect_size=\"25989120\"] \n  7 -> 8 [size =\"25989120\"]\n  8 [size=\"29743104\", alpha=\"0.14\", expect_size=\"14871552\"] \n  8 -> 9 [size =\"14871552\"]\n  9 [size=\"87924736\", alpha=\"0.12\", expect_size=\"43962368\"] \n  9 -> 10 [size =\"43962368\"]\n  10 [size=\"32032768\", alpha=\"0.09\", expect_size=\"16016384\"] \n  10 -> 11 [size =\"16016384\"]\n  11 [size=\"62824448\", alpha=\"0.15\", expect_size=\"31412224\"] \n  11 -> 12 [size =\"31412224\"]\n  12 [size=\"57561088\", alpha=\"0.11\", expect_size=\"28780544\"] \n  12 -> 13 [size =\"28780544\"]\n  13 [size=\"68870144\", alpha=\"0.15\", expect_size=\"34435072\"] \n  13 -> 14 [size =\"34435072\"]\n  14 [size=\"60018688\", alpha=\"0.11\", expect_size=\"30009344\"] \n  14 -> 15 [size =\"30009344\"]\n  15 [size=\"96233472\", alpha=\"0.16\", expect_size=\"48116736\"] \n  15 -> 16 [size =\"48116736\"]\n  16 [size=\"12300288\", alpha=\"0.01\", expect_size=\"6150144\"] \n  16 -> 17 [size =\"6150144\"]\n  17 [size=\"87851008\", alpha=\"0.04\", expect_size=\"43925504\"] \n  17 -> 18 [size =\"43925504\"]\n  18 [size=\"58028032\", alpha=\"0.02\", expect_size=\"29014016\"] \n  18 -> 19 [size =\"29014016\"]\n  19 [size=\"31887360\", alpha=\"0.13\", expect_size=\"15943680\"] \n  19 -> 20 [size =\"15943680\"]\n  20 [size=\"90552320\", alpha=\"0.19\", expect_size=\"45276160\"] \n  20 -> 21 [size =\"45276160\"]\n  21 [size=\"40771584\", alpha=\"0.12\", expect_size=\"20385792\"] \n  21 -> 22 [size =\"20385792\"]\n  22 [size=\"15484928\", alpha=\"0.05\", expect_size=\"7742464\"] \n  22 -> 23 [size =\"7742464\"]\n  23 [size=\"68917248\", alpha=\"0.17\", expect_size=\"34458624\"] \n  23 -> 24 [size =\"34458624\"]\n  24 [size=\"46954496\", alpha=\"0.08\", expect_size=\"23477248\"] \n  24 -> 25 [size =\"23477248\"]\n  25 [size=\"99483648\", alpha=\"0.11\", expect_size=\"49741824\"] \n  25 -> 26 [size =\"49741824\"]\n  26 [size=\"79835136\", alpha=\"0.13\", expect_size=\"39917568\"] \n  26 -> 27 [size =\"39917568\"]\n  27 [size=\"85256192\", alpha=\"0.04\", expect_size=\"42628096\"] \n  27 -> 28 [size =\"42628096\"]\n  28 [size=\"102258688\", alpha=\"0.19\", expect_size=\"51129344\"] \n  28 -> 29 [size =\"51129344\"]\n  29 [size=\"19214336\", alpha=\"0.10\", expect_size=\"9607168\"] \n  29 -> 30 [size =\"9607168\"]\n  30 [size=\"80093184\", alpha=\"0.06\", expect_size=\"40046592\"] \n  30 -> 31 [size =\"40046592\"]\n  31 [size=\"76810240\", alpha=\"0.13\", expect_size=\"38405120\"] \n  31 -> 32 [size =\"38405120\"]\n  32 [size=\"39667712\", alpha=\"0.09\", expect_size=\"19833856\"] \n  32 -> 33 [size =\"19833856\"]\n  33 [size=\"64159744\", alpha=\"0.19\", expect_size=\"32079872\"] \n  33 -> 34 [size =\"32079872\"]\n  34 [size=\"50989056\", alpha=\"0.18\", expect_size=\"25494528\"] \n  34 -> 35 [size =\"25494528\"]\n  35 [size=\"87840768\", alpha=\"0.16\", expect_size=\"43920384\"] \n  35 -> 36 [size =\"43920384\"]\n  36 [size=\"45400064\", alpha=\"0.15\", expect_size=\"22700032\"] \n  36 -> 37 [size =\"22700032\"]\n  37 [size=\"12195840\", alpha=\"0.09\", expect_size=\"6097920\"] \n  37 -> 38 [size =\"6097920\"]\n  38 [size=\"29724672\", alpha=\"0.14\", expect_size=\"14862336\"] \n  38 -> 39 [size =\"14862336\"]\n  39 [size=\"22870016\", alpha=\"0.03\", expect_size=\"11435008\"] \n  39 -> 40 [size =\"11435008\"]\n  40 [size=\"69076992\", alpha=\"0.10\", expect_size=\"34538496\"] \n  40 -> 41 [size =\"34538496\"]\n  41 [size=\"95516672\", alpha=\"0.02\", expect_size=\"47758336\"] \n  41 -> 42 [size =\"47758336\"]\n  42 [size=\"60160000\", alpha=\"0.16\", expect_size=\"30080000\"] \n  42 -> 43 [size =\"30080000\"]\n  43 [size=\"104456192\", alpha=\"0.02\", expect_size=\"52228096\"] \n  43 -> 44 [size =\"52228096\"]\n  44 [size=\"98043904\", alpha=\"0.16\", expect_size=\"49021952\"] \n  44 -> 45 [size =\"49021952\"]\n  45 [size=\"90460160\", alpha=\"0.09\", expect_size=\"45230080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122951680\", alpha=\"0.03\", expect_size=\"49180672\"] \n  1 -> 35 [size =\"49180672\"]\n  1 -> 39 [size =\"49180672\"]\n  1 -> 40 [size =\"49180672\"]\n  1 -> 41 [size =\"49180672\"]\n  1 -> 43 [size =\"49180672\"]\n  1 -> 45 [size =\"49180672\"]\n  2 [size=\"60418560\", alpha=\"0.09\", expect_size=\"24167424\"] \n  2 -> 34 [size =\"24167424\"]\n  2 -> 35 [size =\"24167424\"]\n  2 -> 36 [size =\"24167424\"]\n  2 -> 37 [size =\"24167424\"]\n  2 -> 41 [size =\"24167424\"]\n  2 -> 42 [size =\"24167424\"]\n  2 -> 43 [size =\"24167424\"]\n  2 -> 45 [size =\"24167424\"]\n  3 [size=\"116700160\", alpha=\"0.16\", expect_size=\"46680064\"] \n  3 -> 35 [size =\"46680064\"]\n  3 -> 35 [size =\"46680064\"]\n  3 -> 36 [size =\"46680064\"]\n  3 -> 39 [size =\"46680064\"]\n  3 -> 43 [size =\"46680064\"]\n  3 -> 45 [size =\"46680064\"]\n  4 [size=\"16980480\", alpha=\"0.00\", expect_size=\"6792192\"] \n  4 -> 34 [size =\"6792192\"]\n  4 -> 36 [size =\"6792192\"]\n  4 -> 42 [size =\"6792192\"]\n  4 -> 45 [size =\"6792192\"]\n  5 [size=\"73062400\", alpha=\"0.10\", expect_size=\"29224960\"] \n  5 -> 32 [size =\"29224960\"]\n  5 -> 35 [size =\"29224960\"]\n  5 -> 38 [size =\"29224960\"]\n  5 -> 43 [size =\"29224960\"]\n  6 [size=\"38845440\", alpha=\"0.20\", expect_size=\"15538176\"] \n  6 -> 33 [size =\"15538176\"]\n  6 -> 34 [size =\"15538176\"]\n  6 -> 37 [size =\"15538176\"]\n  6 -> 39 [size =\"15538176\"]\n  6 -> 41 [size =\"15538176\"]\n  6 -> 42 [size =\"15538176\"]\n  7 [size=\"22451200\", alpha=\"0.04\", expect_size=\"8980480\"] \n  7 -> 34 [size =\"8980480\"]\n  7 -> 34 [size =\"8980480\"]\n  7 -> 37 [size =\"8980480\"]\n  7 -> 38 [size =\"8980480\"]\n  7 -> 39 [size =\"8980480\"]\n  7 -> 43 [size =\"8980480\"]\n  8 [size=\"98265600\", alpha=\"0.19\", expect_size=\"39306240\"] \n  8 -> 37 [size =\"39306240\"]\n  8 -> 43 [size =\"39306240\"]\n  9 [size=\"27005440\", alpha=\"0.18\", expect_size=\"10802176\"] \n  9 -> 36 [size =\"10802176\"]\n  9 -> 37 [size =\"10802176\"]\n  9 -> 44 [size =\"10802176\"]\n  10 [size=\"123194880\", alpha=\"0.12\", expect_size=\"49277952\"] \n  10 -> 35 [size =\"49277952\"]\n  10 -> 43 [size =\"49277952\"]\n  11 [size=\"125360640\", alpha=\"0.08\", expect_size=\"50144256\"] \n  11 -> 36 [size =\"50144256\"]\n  11 -> 37 [size =\"50144256\"]\n  11 -> 38 [size =\"50144256\"]\n  11 -> 40 [size =\"50144256\"]\n  11 -> 41 [size =\"50144256\"]\n  11 -> 45 [size =\"50144256\"]\n  12 [size=\"22696960\", alpha=\"0.16\", expect_size=\"9078784\"] \n  12 -> 34 [size =\"9078784\"]\n  12 -> 35 [size =\"9078784\"]\n  12 -> 36 [size =\"9078784\"]\n  12 -> 37 [size =\"9078784\"]\n  12 -> 40 [size =\"9078784\"]\n  12 -> 41 [size =\"9078784\"]\n  12 -> 45 [size =\"9078784\"]\n  13 [size=\"74670080\", alpha=\"0.06\", expect_size=\"29868032\"] \n  13 -> 34 [size =\"29868032\"]\n  13 -> 36 [size =\"29868032\"]\n  13 -> 37 [size =\"29868032\"]\n  13 -> 39 [size =\"29868032\"]\n  13 -> 40 [size =\"29868032\"]\n  13 -> 43 [size =\"29868032\"]\n  13 -> 45 [size =\"29868032\"]\n  14 [size=\"52037120\", alpha=\"0.01\", expect_size=\"20814848\"] \n  14 -> 34 [size =\"20814848\"]\n  14 -> 37 [size =\"20814848\"]\n  14 -> 38 [size =\"20814848\"]\n  14 -> 39 [size =\"20814848\"]\n  14 -> 40 [size =\"20814848\"]\n  14 -> 41 [size =\"20814848\"]\n  14 -> 45 [size =\"20814848\"]\n  15 [size=\"54333440\", alpha=\"0.08\", expect_size=\"21733376\"] \n  15 -> 34 [size =\"21733376\"]\n  15 -> 37 [size =\"21733376\"]\n  15 -> 39 [size =\"21733376\"]\n  15 -> 40 [size =\"21733376\"]\n  15 -> 43 [size =\"21733376\"]\n  16 [size=\"110702080\", alpha=\"0.07\", expect_size=\"44280832\"] \n  16 -> 36 [size =\"44280832\"]\n  16 -> 39 [size =\"44280832\"]\n  16 -> 41 [size =\"44280832\"]\n  16 -> 43 [size =\"44280832\"]\n  17 [size=\"110128640\", alpha=\"0.16\", expect_size=\"44051456\"] \n  17 -> 39 [size =\"44051456\"]\n  17 -> 41 [size =\"44051456\"]\n  18 [size=\"14208000\", alpha=\"0.17\", expect_size=\"5683200\"] \n  18 -> 37 [size =\"5683200\"]\n  18 -> 43 [size =\"5683200\"]\n  19 [size=\"123883520\", alpha=\"0.14\", expect_size=\"49553408\"] \n  19 -> 36 [size =\"49553408\"]\n  19 -> 37 [size =\"49553408\"]\n  19 -> 40 [size =\"49553408\"]\n  19 -> 43 [size =\"49553408\"]\n  19 -> 44 [size =\"49553408\"]\n  20 [size=\"112570880\", alpha=\"0.09\", expect_size=\"45028352\"] \n  20 -> 34 [size =\"45028352\"]\n  20 -> 36 [size =\"45028352\"]\n  20 -> 38 [size =\"45028352\"]\n  20 -> 43 [size =\"45028352\"]\n  21 [size=\"63272960\", alpha=\"0.03\", expect_size=\"25309184\"] \n  21 -> 34 [size =\"25309184\"]\n  21 -> 35 [size =\"25309184\"]\n  21 -> 36 [size =\"25309184\"]\n  21 -> 37 [size =\"25309184\"]\n  21 -> 38 [size =\"25309184\"]\n  21 -> 40 [size =\"25309184\"]\n  22 [size=\"112076800\", alpha=\"0.05\", expect_size=\"44830720\"] \n  22 -> 34 [size =\"44830720\"]\n  22 -> 37 [size =\"44830720\"]\n  22 -> 38 [size =\"44830720\"]\n  23 [size=\"87175680\", alpha=\"0.04\", expect_size=\"34870272\"] \n  23 -> 34 [size =\"34870272\"]\n  23 -> 35 [size =\"34870272\"]\n  23 -> 39 [size =\"34870272\"]\n  23 -> 43 [size =\"34870272\"]\n  23 -> 45 [size =\"34870272\"]\n  24 [size=\"124336640\", alpha=\"0.04\", expect_size=\"49734656\"] \n  24 -> 35 [size =\"49734656\"]\n  24 -> 38 [size =\"49734656\"]\n  24 -> 43 [size =\"49734656\"]\n  25 [size=\"14236160\", alpha=\"0.14\", expect_size=\"5694464\"] \n  25 -> 34 [size =\"5694464\"]\n  25 -> 39 [size =\"5694464\"]\n  25 -> 40 [size =\"5694464\"]\n  26 [size=\"60354560\", alpha=\"0.09\", expect_size=\"24141824\"] \n  26 -> 37 [size =\"24141824\"]\n  26 -> 40 [size =\"24141824\"]\n  26 -> 43 [size =\"24141824\"]\n  27 [size=\"101396480\", alpha=\"0.05\", expect_size=\"40558592\"] \n  27 -> 35 [size =\"40558592\"]\n  27 -> 36 [size =\"40558592\"]\n  27 -> 37 [size =\"40558592\"]\n  27 -> 41 [size =\"40558592\"]\n  28 [size=\"80033280\", alpha=\"0.15\", expect_size=\"32013312\"] \n  28 -> 34 [size =\"32013312\"]\n  28 -> 36 [size =\"32013312\"]\n  28 -> 41 [size =\"32013312\"]\n  28 -> 41 [size =\"32013312\"]\n  28 -> 42 [size =\"32013312\"]\n  29 [size=\"63680000\", alpha=\"0.08\", expect_size=\"25472000\"] \n  29 -> 37 [size =\"25472000\"]\n  29 -> 39 [size =\"25472000\"]\n  29 -> 40 [size =\"25472000\"]\n  29 -> 43 [size =\"25472000\"]\n  30 [size=\"27438080\", alpha=\"0.20\", expect_size=\"10975232\"] \n  30 -> 34 [size =\"10975232\"]\n  30 -> 36 [size =\"10975232\"]\n  30 -> 37 [size =\"10975232\"]\n  30 -> 38 [size =\"10975232\"]\n  30 -> 40 [size =\"10975232\"]\n  30 -> 43 [size =\"10975232\"]\n  30 -> 45 [size =\"10975232\"]\n  31 [size=\"80437760\", alpha=\"0.10\", expect_size=\"32175104\"] \n  31 -> 34 [size =\"32175104\"]\n  31 -> 37 [size =\"32175104\"]\n  31 -> 39 [size =\"32175104\"]\n  31 -> 43 [size =\"32175104\"]\n  31 -> 45 [size =\"32175104\"]\n  32 [size=\"96599040\", alpha=\"0.02\", expect_size=\"38639616\"] \n  33 [size=\"123233280\", alpha=\"0.05\", expect_size=\"49293312\"] \n  34 [size=\"28001280\", alpha=\"0.14\", expect_size=\"11200512\"] \n  35 [size=\"50713600\", alpha=\"0.11\", expect_size=\"20285440\"] \n  36 [size=\"15395840\", alpha=\"0.03\", expect_size=\"6158336\"] \n  37 [size=\"65751040\", alpha=\"0.13\", expect_size=\"26300416\"] \n  38 [size=\"93158400\", alpha=\"0.02\", expect_size=\"37263360\"] \n  39 [size=\"64811520\", alpha=\"0.10\", expect_size=\"25924608\"] \n  40 [size=\"112581120\", alpha=\"0.15\", expect_size=\"45032448\"] \n  41 [size=\"110620160\", alpha=\"0.09\", expect_size=\"44248064\"] \n  42 [size=\"53222400\", alpha=\"0.19\", expect_size=\"21288960\"] \n  43 [size=\"67939840\", alpha=\"0.02\", expect_size=\"27175936\"] \n  44 [size=\"98378240\", alpha=\"0.04\", expect_size=\"39351296\"] \n  45 [size=\"65500160\", alpha=\"0.06\", expect_size=\"26200064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90212352\", alpha=\"0.05\", expect_size=\"45106176\"] \n  1 -> 3 [size =\"45106176\"]\n  1 -> 4 [size =\"45106176\"]\n  2 [size=\"65320960\", alpha=\"0.09\", expect_size=\"32660480\"] \n  3 [size=\"10817536\", alpha=\"0.11\", expect_size=\"5408768\"] \n  3 -> 5 [size =\"5408768\"]\n  3 -> 6 [size =\"5408768\"]\n  4 [size=\"78858240\", alpha=\"0.11\", expect_size=\"39429120\"] \n  4 -> 6 [size =\"39429120\"]\n  4 -> 7 [size =\"39429120\"]\n  5 [size=\"56819712\", alpha=\"0.18\", expect_size=\"28409856\"] \n  5 -> 8 [size =\"28409856\"]\n  5 -> 10 [size =\"28409856\"]\n  6 [size=\"13105152\", alpha=\"0.18\", expect_size=\"6552576\"] \n  6 -> 11 [size =\"6552576\"]\n  7 [size=\"92674048\", alpha=\"0.09\", expect_size=\"46337024\"] \n  7 -> 9 [size =\"46337024\"]\n  7 -> 10 [size =\"46337024\"]\n  8 [size=\"44519424\", alpha=\"0.15\", expect_size=\"22259712\"] \n  8 -> 13 [size =\"22259712\"]\n  8 -> 14 [size =\"22259712\"]\n  9 [size=\"31062016\", alpha=\"0.08\", expect_size=\"15531008\"] \n  9 -> 13 [size =\"15531008\"]\n  9 -> 14 [size =\"15531008\"]\n  10 [size=\"77541376\", alpha=\"0.15\", expect_size=\"38770688\"] \n  10 -> 12 [size =\"38770688\"]\n  10 -> 14 [size =\"38770688\"]\n  11 [size=\"100954112\", alpha=\"0.01\", expect_size=\"50477056\"] \n  11 -> 12 [size =\"50477056\"]\n  11 -> 13 [size =\"50477056\"]\n  11 -> 15 [size =\"50477056\"]\n  12 [size=\"27887616\", alpha=\"0.03\", expect_size=\"13943808\"] \n  13 [size=\"71915520\", alpha=\"0.11\", expect_size=\"35957760\"] \n  13 -> 16 [size =\"35957760\"]\n  13 -> 18 [size =\"35957760\"]\n  13 -> 19 [size =\"35957760\"]\n  14 [size=\"28547072\", alpha=\"0.03\", expect_size=\"14273536\"] \n  14 -> 16 [size =\"14273536\"]\n  15 [size=\"81852416\", alpha=\"0.03\", expect_size=\"40926208\"] \n  15 -> 17 [size =\"40926208\"]\n  15 -> 18 [size =\"40926208\"]\n  16 [size=\"73402368\", alpha=\"0.02\", expect_size=\"36701184\"] \n  17 [size=\"64866304\", alpha=\"0.03\", expect_size=\"32433152\"] \n  17 -> 20 [size =\"32433152\"]\n  18 [size=\"12183552\", alpha=\"0.08\", expect_size=\"6091776\"] \n  19 [size=\"84922368\", alpha=\"0.15\", expect_size=\"42461184\"] \n  20 [size=\"27930624\", alpha=\"0.06\", expect_size=\"13965312\"] \n  20 -> 21 [size =\"13965312\"]\n  20 -> 22 [size =\"13965312\"]\n  20 -> 23 [size =\"13965312\"]\n  21 [size=\"97759232\", alpha=\"0.14\", expect_size=\"48879616\"] \n  21 -> 25 [size =\"48879616\"]\n  22 [size=\"103616512\", alpha=\"0.13\", expect_size=\"51808256\"] \n  22 -> 24 [size =\"51808256\"]\n  23 [size=\"24199168\", alpha=\"0.13\", expect_size=\"12099584\"] \n  24 [size=\"76232704\", alpha=\"0.07\", expect_size=\"38116352\"] \n  24 -> 27 [size =\"38116352\"]\n  25 [size=\"89995264\", alpha=\"0.11\", expect_size=\"44997632\"] \n  25 -> 26 [size =\"44997632\"]\n  25 -> 27 [size =\"44997632\"]\n  26 [size=\"102811648\", alpha=\"0.16\", expect_size=\"51405824\"] \n  26 -> 28 [size =\"51405824\"]\n  26 -> 29 [size =\"51405824\"]\n  27 [size=\"17727488\", alpha=\"0.18\", expect_size=\"8863744\"] \n  27 -> 28 [size =\"8863744\"]\n  27 -> 29 [size =\"8863744\"]\n  28 [size=\"32749568\", alpha=\"0.07\", expect_size=\"16374784\"] \n  28 -> 30 [size =\"16374784\"]\n  28 -> 32 [size =\"16374784\"]\n  28 -> 33 [size =\"16374784\"]\n  29 [size=\"72044544\", alpha=\"0.01\", expect_size=\"36022272\"] \n  29 -> 31 [size =\"36022272\"]\n  29 -> 32 [size =\"36022272\"]\n  29 -> 33 [size =\"36022272\"]\n  30 [size=\"46462976\", alpha=\"0.09\", expect_size=\"23231488\"] \n  30 -> 34 [size =\"23231488\"]\n  31 [size=\"73476096\", alpha=\"0.16\", expect_size=\"36738048\"] \n  32 [size=\"44066816\", alpha=\"0.06\", expect_size=\"22033408\"] \n  32 -> 34 [size =\"22033408\"]\n  33 [size=\"13070336\", alpha=\"0.10\", expect_size=\"6535168\"] \n  33 -> 34 [size =\"6535168\"]\n  34 [size=\"75194368\", alpha=\"0.18\", expect_size=\"37597184\"] \n  34 -> 35 [size =\"37597184\"]\n  34 -> 36 [size =\"37597184\"]\n  34 -> 37 [size =\"37597184\"]\n  35 [size=\"15691776\", alpha=\"0.00\", expect_size=\"7845888\"] \n  35 -> 38 [size =\"7845888\"]\n  35 -> 39 [size =\"7845888\"]\n  36 [size=\"69646336\", alpha=\"0.16\", expect_size=\"34823168\"] \n  36 -> 38 [size =\"34823168\"]\n  37 [size=\"50933760\", alpha=\"0.04\", expect_size=\"25466880\"] \n  38 [size=\"41744384\", alpha=\"0.11\", expect_size=\"20872192\"] \n  38 -> 40 [size =\"20872192\"]\n  38 -> 41 [size =\"20872192\"]\n  39 [size=\"76109824\", alpha=\"0.15\", expect_size=\"38054912\"] \n  39 -> 40 [size =\"38054912\"]\n  39 -> 41 [size =\"38054912\"]\n  40 [size=\"80238592\", alpha=\"0.02\", expect_size=\"40119296\"] \n  40 -> 42 [size =\"40119296\"]\n  41 [size=\"26814464\", alpha=\"0.08\", expect_size=\"13407232\"] \n  41 -> 42 [size =\"13407232\"]\n  41 -> 43 [size =\"13407232\"]\n  42 [size=\"100677632\", alpha=\"0.14\", expect_size=\"50338816\"] \n  42 -> 44 [size =\"50338816\"]\n  43 [size=\"36114432\", alpha=\"0.02\", expect_size=\"18057216\"] \n  43 -> 44 [size =\"18057216\"]\n  43 -> 45 [size =\"18057216\"]\n  44 [size=\"83302400\", alpha=\"0.05\", expect_size=\"41651200\"] \n  45 [size=\"71557120\", alpha=\"0.04\", expect_size=\"35778560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39298560\", alpha=\"0.07\", expect_size=\"15719424\"] \n  1 -> 4 [size =\"15719424\"]\n  1 -> 6 [size =\"15719424\"]\n  2 [size=\"93166080\", alpha=\"0.14\", expect_size=\"37266432\"] \n  2 -> 6 [size =\"37266432\"]\n  3 [size=\"125168640\", alpha=\"0.19\", expect_size=\"50067456\"] \n  3 -> 4 [size =\"50067456\"]\n  3 -> 5 [size =\"50067456\"]\n  3 -> 6 [size =\"50067456\"]\n  4 [size=\"24962560\", alpha=\"0.04\", expect_size=\"9985024\"] \n  4 -> 7 [size =\"9985024\"]\n  4 -> 9 [size =\"9985024\"]\n  5 [size=\"37327360\", alpha=\"0.17\", expect_size=\"14930944\"] \n  5 -> 7 [size =\"14930944\"]\n  5 -> 9 [size =\"14930944\"]\n  6 [size=\"112686080\", alpha=\"0.04\", expect_size=\"45074432\"] \n  6 -> 7 [size =\"45074432\"]\n  6 -> 8 [size =\"45074432\"]\n  6 -> 9 [size =\"45074432\"]\n  7 [size=\"27860480\", alpha=\"0.17\", expect_size=\"11144192\"] \n  7 -> 10 [size =\"11144192\"]\n  8 [size=\"98188800\", alpha=\"0.13\", expect_size=\"39275520\"] \n  8 -> 11 [size =\"39275520\"]\n  9 [size=\"118929920\", alpha=\"0.18\", expect_size=\"47571968\"] \n  9 -> 11 [size =\"47571968\"]\n  10 [size=\"56332800\", alpha=\"0.02\", expect_size=\"22533120\"] \n  10 -> 12 [size =\"22533120\"]\n  11 [size=\"88071680\", alpha=\"0.15\", expect_size=\"35228672\"] \n  11 -> 13 [size =\"35228672\"]\n  12 [size=\"130708480\", alpha=\"0.04\", expect_size=\"52283392\"] \n  12 -> 14 [size =\"52283392\"]\n  12 -> 15 [size =\"52283392\"]\n  13 [size=\"95080960\", alpha=\"0.01\", expect_size=\"38032384\"] \n  13 -> 14 [size =\"38032384\"]\n  13 -> 15 [size =\"38032384\"]\n  14 [size=\"88837120\", alpha=\"0.16\", expect_size=\"35534848\"] \n  14 -> 16 [size =\"35534848\"]\n  14 -> 17 [size =\"35534848\"]\n  14 -> 18 [size =\"35534848\"]\n  15 [size=\"109719040\", alpha=\"0.04\", expect_size=\"43887616\"] \n  15 -> 16 [size =\"43887616\"]\n  15 -> 17 [size =\"43887616\"]\n  15 -> 18 [size =\"43887616\"]\n  16 [size=\"91509760\", alpha=\"0.13\", expect_size=\"36603904\"] \n  16 -> 19 [size =\"36603904\"]\n  17 [size=\"116160000\", alpha=\"0.19\", expect_size=\"46464000\"] \n  17 -> 19 [size =\"46464000\"]\n  17 -> 21 [size =\"46464000\"]\n  18 [size=\"95710720\", alpha=\"0.02\", expect_size=\"38284288\"] \n  18 -> 19 [size =\"38284288\"]\n  18 -> 20 [size =\"38284288\"]\n  19 [size=\"56668160\", alpha=\"0.13\", expect_size=\"22667264\"] \n  19 -> 22 [size =\"22667264\"]\n  19 -> 23 [size =\"22667264\"]\n  19 -> 24 [size =\"22667264\"]\n  20 [size=\"43837440\", alpha=\"0.16\", expect_size=\"17534976\"] \n  20 -> 22 [size =\"17534976\"]\n  20 -> 23 [size =\"17534976\"]\n  20 -> 24 [size =\"17534976\"]\n  21 [size=\"54479360\", alpha=\"0.04\", expect_size=\"21791744\"] \n  21 -> 22 [size =\"21791744\"]\n  21 -> 23 [size =\"21791744\"]\n  21 -> 24 [size =\"21791744\"]\n  22 [size=\"22200320\", alpha=\"0.05\", expect_size=\"8880128\"] \n  22 -> 26 [size =\"8880128\"]\n  23 [size=\"47772160\", alpha=\"0.05\", expect_size=\"19108864\"] \n  23 -> 25 [size =\"19108864\"]\n  23 -> 26 [size =\"19108864\"]\n  23 -> 27 [size =\"19108864\"]\n  24 [size=\"54190080\", alpha=\"0.07\", expect_size=\"21676032\"] \n  24 -> 25 [size =\"21676032\"]\n  24 -> 26 [size =\"21676032\"]\n  24 -> 27 [size =\"21676032\"]\n  25 [size=\"32627200\", alpha=\"0.14\", expect_size=\"13050880\"] \n  25 -> 28 [size =\"13050880\"]\n  25 -> 29 [size =\"13050880\"]\n  26 [size=\"54912000\", alpha=\"0.17\", expect_size=\"21964800\"] \n  27 [size=\"15923200\", alpha=\"0.03\", expect_size=\"6369280\"] \n  27 -> 29 [size =\"6369280\"]\n  27 -> 30 [size =\"6369280\"]\n  28 [size=\"129815040\", alpha=\"0.03\", expect_size=\"51926016\"] \n  28 -> 31 [size =\"51926016\"]\n  29 [size=\"26196480\", alpha=\"0.01\", expect_size=\"10478592\"] \n  29 -> 32 [size =\"10478592\"]\n  30 [size=\"100400640\", alpha=\"0.07\", expect_size=\"40160256\"] \n  30 -> 32 [size =\"40160256\"]\n  31 [size=\"75934720\", alpha=\"0.05\", expect_size=\"30373888\"] \n  31 -> 33 [size =\"30373888\"]\n  31 -> 34 [size =\"30373888\"]\n  32 [size=\"96957440\", alpha=\"0.03\", expect_size=\"38782976\"] \n  32 -> 33 [size =\"38782976\"]\n  33 [size=\"125562880\", alpha=\"0.15\", expect_size=\"50225152\"] \n  33 -> 36 [size =\"50225152\"]\n  34 [size=\"37885440\", alpha=\"0.20\", expect_size=\"15154176\"] \n  34 -> 35 [size =\"15154176\"]\n  34 -> 36 [size =\"15154176\"]\n  35 [size=\"81712640\", alpha=\"0.01\", expect_size=\"32685056\"] \n  35 -> 37 [size =\"32685056\"]\n  36 [size=\"45335040\", alpha=\"0.16\", expect_size=\"18134016\"] \n  36 -> 37 [size =\"18134016\"]\n  36 -> 38 [size =\"18134016\"]\n  37 [size=\"28334080\", alpha=\"0.08\", expect_size=\"11333632\"] \n  37 -> 39 [size =\"11333632\"]\n  37 -> 41 [size =\"11333632\"]\n  38 [size=\"45460480\", alpha=\"0.14\", expect_size=\"18184192\"] \n  38 -> 39 [size =\"18184192\"]\n  38 -> 40 [size =\"18184192\"]\n  38 -> 41 [size =\"18184192\"]\n  39 [size=\"63836160\", alpha=\"0.07\", expect_size=\"25534464\"] \n  39 -> 42 [size =\"25534464\"]\n  39 -> 43 [size =\"25534464\"]\n  40 [size=\"71319040\", alpha=\"0.06\", expect_size=\"28527616\"] \n  40 -> 42 [size =\"28527616\"]\n  40 -> 43 [size =\"28527616\"]\n  41 [size=\"111137280\", alpha=\"0.11\", expect_size=\"44454912\"] \n  41 -> 42 [size =\"44454912\"]\n  41 -> 43 [size =\"44454912\"]\n  42 [size=\"22323200\", alpha=\"0.19\", expect_size=\"8929280\"] \n  42 -> 44 [size =\"8929280\"]\n  42 -> 45 [size =\"8929280\"]\n  43 [size=\"40448000\", alpha=\"0.12\", expect_size=\"16179200\"] \n  43 -> 44 [size =\"16179200\"]\n  43 -> 45 [size =\"16179200\"]\n  44 [size=\"129520640\", alpha=\"0.12\", expect_size=\"51808256\"] \n  45 [size=\"129346560\", alpha=\"0.15\", expect_size=\"51738624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57183573\", alpha=\"0.04\", expect_size=\"17155072\"] \n  1 -> 23 [size =\"17155072\"]\n  1 -> 24 [size =\"17155072\"]\n  1 -> 26 [size =\"17155072\"]\n  1 -> 27 [size =\"17155072\"]\n  1 -> 30 [size =\"17155072\"]\n  1 -> 32 [size =\"17155072\"]\n  2 [size=\"102628693\", alpha=\"0.14\", expect_size=\"30788608\"] \n  2 -> 18 [size =\"30788608\"]\n  2 -> 22 [size =\"30788608\"]\n  2 -> 26 [size =\"30788608\"]\n  2 -> 31 [size =\"30788608\"]\n  3 [size=\"101485227\", alpha=\"0.00\", expect_size=\"30445568\"] \n  3 -> 17 [size =\"30445568\"]\n  3 -> 19 [size =\"30445568\"]\n  3 -> 22 [size =\"30445568\"]\n  3 -> 24 [size =\"30445568\"]\n  3 -> 25 [size =\"30445568\"]\n  3 -> 26 [size =\"30445568\"]\n  3 -> 27 [size =\"30445568\"]\n  3 -> 28 [size =\"30445568\"]\n  3 -> 30 [size =\"30445568\"]\n  3 -> 32 [size =\"30445568\"]\n  3 -> 33 [size =\"30445568\"]\n  4 [size=\"42526720\", alpha=\"0.09\", expect_size=\"12758016\"] \n  4 -> 17 [size =\"12758016\"]\n  4 -> 24 [size =\"12758016\"]\n  4 -> 26 [size =\"12758016\"]\n  4 -> 32 [size =\"12758016\"]\n  4 -> 34 [size =\"12758016\"]\n  5 [size=\"30317227\", alpha=\"0.06\", expect_size=\"9095168\"] \n  5 -> 20 [size =\"9095168\"]\n  5 -> 21 [size =\"9095168\"]\n  5 -> 25 [size =\"9095168\"]\n  5 -> 28 [size =\"9095168\"]\n  5 -> 30 [size =\"9095168\"]\n  5 -> 32 [size =\"9095168\"]\n  6 [size=\"35679573\", alpha=\"0.00\", expect_size=\"10703872\"] \n  6 -> 17 [size =\"10703872\"]\n  6 -> 18 [size =\"10703872\"]\n  6 -> 19 [size =\"10703872\"]\n  6 -> 20 [size =\"10703872\"]\n  6 -> 21 [size =\"10703872\"]\n  6 -> 25 [size =\"10703872\"]\n  6 -> 27 [size =\"10703872\"]\n  6 -> 29 [size =\"10703872\"]\n  6 -> 32 [size =\"10703872\"]\n  6 -> 33 [size =\"10703872\"]\n  7 [size=\"63969280\", alpha=\"0.19\", expect_size=\"19190784\"] \n  7 -> 17 [size =\"19190784\"]\n  7 -> 27 [size =\"19190784\"]\n  7 -> 28 [size =\"19190784\"]\n  7 -> 29 [size =\"19190784\"]\n  7 -> 30 [size =\"19190784\"]\n  7 -> 32 [size =\"19190784\"]\n  7 -> 33 [size =\"19190784\"]\n  8 [size=\"162010453\", alpha=\"0.17\", expect_size=\"48603136\"] \n  8 -> 17 [size =\"48603136\"]\n  8 -> 21 [size =\"48603136\"]\n  8 -> 27 [size =\"48603136\"]\n  8 -> 29 [size =\"48603136\"]\n  8 -> 30 [size =\"48603136\"]\n  8 -> 31 [size =\"48603136\"]\n  8 -> 33 [size =\"48603136\"]\n  9 [size=\"17909760\", alpha=\"0.16\", expect_size=\"5372928\"] \n  9 -> 25 [size =\"5372928\"]\n  9 -> 27 [size =\"5372928\"]\n  9 -> 29 [size =\"5372928\"]\n  9 -> 33 [size =\"5372928\"]\n  10 [size=\"166939307\", alpha=\"0.16\", expect_size=\"50081792\"] \n  10 -> 21 [size =\"50081792\"]\n  10 -> 24 [size =\"50081792\"]\n  10 -> 26 [size =\"50081792\"]\n  10 -> 32 [size =\"50081792\"]\n  11 [size=\"48339627\", alpha=\"0.11\", expect_size=\"14501888\"] \n  11 -> 17 [size =\"14501888\"]\n  11 -> 18 [size =\"14501888\"]\n  11 -> 19 [size =\"14501888\"]\n  11 -> 22 [size =\"14501888\"]\n  11 -> 24 [size =\"14501888\"]\n  11 -> 25 [size =\"14501888\"]\n  11 -> 26 [size =\"14501888\"]\n  11 -> 28 [size =\"14501888\"]\n  11 -> 32 [size =\"14501888\"]\n  11 -> 33 [size =\"14501888\"]\n  11 -> 34 [size =\"14501888\"]\n  12 [size=\"83681280\", alpha=\"0.05\", expect_size=\"25104384\"] \n  12 -> 24 [size =\"25104384\"]\n  12 -> 25 [size =\"25104384\"]\n  12 -> 30 [size =\"25104384\"]\n  12 -> 31 [size =\"25104384\"]\n  13 [size=\"38010880\", alpha=\"0.12\", expect_size=\"11403264\"] \n  13 -> 24 [size =\"11403264\"]\n  13 -> 26 [size =\"11403264\"]\n  13 -> 28 [size =\"11403264\"]\n  13 -> 33 [size =\"11403264\"]\n  13 -> 34 [size =\"11403264\"]\n  14 [size=\"38410240\", alpha=\"0.19\", expect_size=\"11523072\"] \n  14 -> 22 [size =\"11523072\"]\n  14 -> 25 [size =\"11523072\"]\n  14 -> 28 [size =\"11523072\"]\n  14 -> 29 [size =\"11523072\"]\n  14 -> 31 [size =\"11523072\"]\n  14 -> 34 [size =\"11523072\"]\n  15 [size=\"110138027\", alpha=\"0.00\", expect_size=\"33041408\"] \n  15 -> 21 [size =\"33041408\"]\n  15 -> 24 [size =\"33041408\"]\n  15 -> 25 [size =\"33041408\"]\n  15 -> 26 [size =\"33041408\"]\n  15 -> 31 [size =\"33041408\"]\n  16 [size=\"157600427\", alpha=\"0.10\", expect_size=\"47280128\"] \n  16 -> 17 [size =\"47280128\"]\n  16 -> 21 [size =\"47280128\"]\n  16 -> 24 [size =\"47280128\"]\n  16 -> 31 [size =\"47280128\"]\n  16 -> 31 [size =\"47280128\"]\n  16 -> 32 [size =\"47280128\"]\n  17 [size=\"159358293\", alpha=\"0.18\", expect_size=\"47807488\"] \n  17 -> 41 [size =\"47807488\"]\n  18 [size=\"150910293\", alpha=\"0.14\", expect_size=\"45273088\"] \n  18 -> 35 [size =\"45273088\"]\n  18 -> 41 [size =\"45273088\"]\n  18 -> 44 [size =\"45273088\"]\n  19 [size=\"131095893\", alpha=\"0.03\", expect_size=\"39328768\"] \n  19 -> 39 [size =\"39328768\"]\n  19 -> 41 [size =\"39328768\"]\n  19 -> 43 [size =\"39328768\"]\n  19 -> 45 [size =\"39328768\"]\n  20 [size=\"101809493\", alpha=\"0.09\", expect_size=\"30542848\"] \n  20 -> 35 [size =\"30542848\"]\n  20 -> 39 [size =\"30542848\"]\n  20 -> 45 [size =\"30542848\"]\n  21 [size=\"72028160\", alpha=\"0.20\", expect_size=\"21608448\"] \n  21 -> 35 [size =\"21608448\"]\n  21 -> 36 [size =\"21608448\"]\n  21 -> 38 [size =\"21608448\"]\n  21 -> 39 [size =\"21608448\"]\n  21 -> 42 [size =\"21608448\"]\n  22 [size=\"157702827\", alpha=\"0.02\", expect_size=\"47310848\"] \n  22 -> 35 [size =\"47310848\"]\n  22 -> 39 [size =\"47310848\"]\n  22 -> 41 [size =\"47310848\"]\n  22 -> 42 [size =\"47310848\"]\n  22 -> 45 [size =\"47310848\"]\n  23 [size=\"40639147\", alpha=\"0.14\", expect_size=\"12191744\"] \n  23 -> 35 [size =\"12191744\"]\n  23 -> 39 [size =\"12191744\"]\n  23 -> 41 [size =\"12191744\"]\n  23 -> 42 [size =\"12191744\"]\n  24 [size=\"138338987\", alpha=\"0.10\", expect_size=\"41501696\"] \n  24 -> 39 [size =\"41501696\"]\n  24 -> 41 [size =\"41501696\"]\n  24 -> 42 [size =\"41501696\"]\n  24 -> 44 [size =\"41501696\"]\n  25 [size=\"130785280\", alpha=\"0.07\", expect_size=\"39235584\"] \n  25 -> 39 [size =\"39235584\"]\n  25 -> 40 [size =\"39235584\"]\n  26 [size=\"134010880\", alpha=\"0.06\", expect_size=\"40203264\"] \n  26 -> 37 [size =\"40203264\"]\n  27 [size=\"53504000\", alpha=\"0.12\", expect_size=\"16051200\"] \n  27 -> 35 [size =\"16051200\"]\n  27 -> 39 [size =\"16051200\"]\n  27 -> 41 [size =\"16051200\"]\n  27 -> 42 [size =\"16051200\"]\n  28 [size=\"36788907\", alpha=\"0.15\", expect_size=\"11036672\"] \n  28 -> 43 [size =\"11036672\"]\n  28 -> 44 [size =\"11036672\"]\n  29 [size=\"147152213\", alpha=\"0.19\", expect_size=\"44145664\"] \n  29 -> 35 [size =\"44145664\"]\n  29 -> 41 [size =\"44145664\"]\n  30 [size=\"172895573\", alpha=\"0.02\", expect_size=\"51868672\"] \n  30 -> 42 [size =\"51868672\"]\n  30 -> 44 [size =\"51868672\"]\n  31 [size=\"87053653\", alpha=\"0.09\", expect_size=\"26116096\"] \n  31 -> 41 [size =\"26116096\"]\n  31 -> 42 [size =\"26116096\"]\n  31 -> 44 [size =\"26116096\"]\n  32 [size=\"86623573\", alpha=\"0.04\", expect_size=\"25987072\"] \n  32 -> 35 [size =\"25987072\"]\n  32 -> 38 [size =\"25987072\"]\n  32 -> 41 [size =\"25987072\"]\n  33 [size=\"99474773\", alpha=\"0.02\", expect_size=\"29842432\"] \n  33 -> 39 [size =\"29842432\"]\n  33 -> 42 [size =\"29842432\"]\n  33 -> 45 [size =\"29842432\"]\n  34 [size=\"52326400\", alpha=\"0.02\", expect_size=\"15697920\"] \n  34 -> 41 [size =\"15697920\"]\n  34 -> 42 [size =\"15697920\"]\n  35 [size=\"127522133\", alpha=\"0.15\", expect_size=\"38256640\"] \n  36 [size=\"23330133\", alpha=\"0.05\", expect_size=\"6999040\"] \n  37 [size=\"72529920\", alpha=\"0.13\", expect_size=\"21758976\"] \n  38 [size=\"164328107\", alpha=\"0.18\", expect_size=\"49298432\"] \n  39 [size=\"128692907\", alpha=\"0.18\", expect_size=\"38607872\"] \n  40 [size=\"123344213\", alpha=\"0.08\", expect_size=\"37003264\"] \n  41 [size=\"140458667\", alpha=\"0.05\", expect_size=\"42137600\"] \n  42 [size=\"53616640\", alpha=\"0.20\", expect_size=\"16084992\"] \n  43 [size=\"86312960\", alpha=\"0.18\", expect_size=\"25893888\"] \n  44 [size=\"101792427\", alpha=\"0.11\", expect_size=\"30537728\"] \n  45 [size=\"120999253\", alpha=\"0.19\", expect_size=\"36299776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89464832\", alpha=\"0.16\", expect_size=\"44732416\"] \n  1 -> 4 [size =\"44732416\"]\n  2 [size=\"25913344\", alpha=\"0.16\", expect_size=\"12956672\"] \n  2 -> 3 [size =\"12956672\"]\n  2 -> 4 [size =\"12956672\"]\n  3 [size=\"76285952\", alpha=\"0.06\", expect_size=\"38142976\"] \n  3 -> 5 [size =\"38142976\"]\n  3 -> 6 [size =\"38142976\"]\n  3 -> 7 [size =\"38142976\"]\n  4 [size=\"86315008\", alpha=\"0.03\", expect_size=\"43157504\"] \n  4 -> 5 [size =\"43157504\"]\n  4 -> 6 [size =\"43157504\"]\n  4 -> 7 [size =\"43157504\"]\n  5 [size=\"100421632\", alpha=\"0.04\", expect_size=\"50210816\"] \n  5 -> 8 [size =\"50210816\"]\n  5 -> 9 [size =\"50210816\"]\n  5 -> 10 [size =\"50210816\"]\n  6 [size=\"36702208\", alpha=\"0.02\", expect_size=\"18351104\"] \n  6 -> 8 [size =\"18351104\"]\n  6 -> 9 [size =\"18351104\"]\n  6 -> 10 [size =\"18351104\"]\n  7 [size=\"93726720\", alpha=\"0.17\", expect_size=\"46863360\"] \n  7 -> 8 [size =\"46863360\"]\n  7 -> 9 [size =\"46863360\"]\n  7 -> 10 [size =\"46863360\"]\n  8 [size=\"75198464\", alpha=\"0.12\", expect_size=\"37599232\"] \n  8 -> 12 [size =\"37599232\"]\n  8 -> 13 [size =\"37599232\"]\n  9 [size=\"64585728\", alpha=\"0.11\", expect_size=\"32292864\"] \n  9 -> 11 [size =\"32292864\"]\n  9 -> 13 [size =\"32292864\"]\n  10 [size=\"11579392\", alpha=\"0.11\", expect_size=\"5789696\"] \n  10 -> 13 [size =\"5789696\"]\n  11 [size=\"99969024\", alpha=\"0.01\", expect_size=\"49984512\"] \n  11 -> 14 [size =\"49984512\"]\n  11 -> 15 [size =\"49984512\"]\n  12 [size=\"80848896\", alpha=\"0.20\", expect_size=\"40424448\"] \n  12 -> 14 [size =\"40424448\"]\n  12 -> 15 [size =\"40424448\"]\n  13 [size=\"63752192\", alpha=\"0.08\", expect_size=\"31876096\"] \n  13 -> 14 [size =\"31876096\"]\n  13 -> 15 [size =\"31876096\"]\n  14 [size=\"89796608\", alpha=\"0.16\", expect_size=\"44898304\"] \n  14 -> 16 [size =\"44898304\"]\n  14 -> 17 [size =\"44898304\"]\n  14 -> 18 [size =\"44898304\"]\n  15 [size=\"104787968\", alpha=\"0.10\", expect_size=\"52393984\"] \n  15 -> 17 [size =\"52393984\"]\n  15 -> 18 [size =\"52393984\"]\n  16 [size=\"29949952\", alpha=\"0.01\", expect_size=\"14974976\"] \n  16 -> 19 [size =\"14974976\"]\n  17 [size=\"39682048\", alpha=\"0.15\", expect_size=\"19841024\"] \n  17 -> 19 [size =\"19841024\"]\n  17 -> 20 [size =\"19841024\"]\n  17 -> 21 [size =\"19841024\"]\n  18 [size=\"27492352\", alpha=\"0.06\", expect_size=\"13746176\"] \n  18 -> 19 [size =\"13746176\"]\n  18 -> 20 [size =\"13746176\"]\n  18 -> 21 [size =\"13746176\"]\n  19 [size=\"82184192\", alpha=\"0.14\", expect_size=\"41092096\"] \n  19 -> 22 [size =\"41092096\"]\n  20 [size=\"39507968\", alpha=\"0.11\", expect_size=\"19753984\"] \n  20 -> 22 [size =\"19753984\"]\n  20 -> 23 [size =\"19753984\"]\n  20 -> 24 [size =\"19753984\"]\n  21 [size=\"92018688\", alpha=\"0.04\", expect_size=\"46009344\"] \n  21 -> 23 [size =\"46009344\"]\n  21 -> 24 [size =\"46009344\"]\n  22 [size=\"98435072\", alpha=\"0.00\", expect_size=\"49217536\"] \n  22 -> 25 [size =\"49217536\"]\n  22 -> 26 [size =\"49217536\"]\n  22 -> 27 [size =\"49217536\"]\n  23 [size=\"96868352\", alpha=\"0.11\", expect_size=\"48434176\"] \n  23 -> 27 [size =\"48434176\"]\n  24 [size=\"37892096\", alpha=\"0.18\", expect_size=\"18946048\"] \n  24 -> 25 [size =\"18946048\"]\n  25 [size=\"17598464\", alpha=\"0.03\", expect_size=\"8799232\"] \n  25 -> 28 [size =\"8799232\"]\n  25 -> 29 [size =\"8799232\"]\n  25 -> 30 [size =\"8799232\"]\n  26 [size=\"63494144\", alpha=\"0.14\", expect_size=\"31747072\"] \n  26 -> 30 [size =\"31747072\"]\n  27 [size=\"67487744\", alpha=\"0.03\", expect_size=\"33743872\"] \n  27 -> 28 [size =\"33743872\"]\n  27 -> 30 [size =\"33743872\"]\n  28 [size=\"45635584\", alpha=\"0.06\", expect_size=\"22817792\"] \n  28 -> 31 [size =\"22817792\"]\n  28 -> 32 [size =\"22817792\"]\n  28 -> 33 [size =\"22817792\"]\n  29 [size=\"75800576\", alpha=\"0.20\", expect_size=\"37900288\"] \n  29 -> 31 [size =\"37900288\"]\n  29 -> 32 [size =\"37900288\"]\n  29 -> 33 [size =\"37900288\"]\n  30 [size=\"47693824\", alpha=\"0.14\", expect_size=\"23846912\"] \n  30 -> 31 [size =\"23846912\"]\n  30 -> 33 [size =\"23846912\"]\n  31 [size=\"97689600\", alpha=\"0.07\", expect_size=\"48844800\"] \n  31 -> 34 [size =\"48844800\"]\n  31 -> 35 [size =\"48844800\"]\n  32 [size=\"21649408\", alpha=\"0.15\", expect_size=\"10824704\"] \n  32 -> 34 [size =\"10824704\"]\n  32 -> 35 [size =\"10824704\"]\n  33 [size=\"23748608\", alpha=\"0.15\", expect_size=\"11874304\"] \n  33 -> 34 [size =\"11874304\"]\n  33 -> 35 [size =\"11874304\"]\n  33 -> 36 [size =\"11874304\"]\n  34 [size=\"75413504\", alpha=\"0.11\", expect_size=\"37706752\"] \n  34 -> 38 [size =\"37706752\"]\n  35 [size=\"63731712\", alpha=\"0.07\", expect_size=\"31865856\"] \n  35 -> 37 [size =\"31865856\"]\n  35 -> 38 [size =\"31865856\"]\n  36 [size=\"78641152\", alpha=\"0.07\", expect_size=\"39320576\"] \n  36 -> 38 [size =\"39320576\"]\n  37 [size=\"51984384\", alpha=\"0.14\", expect_size=\"25992192\"] \n  37 -> 40 [size =\"25992192\"]\n  38 [size=\"67004416\", alpha=\"0.04\", expect_size=\"33502208\"] \n  38 -> 39 [size =\"33502208\"]\n  38 -> 40 [size =\"33502208\"]\n  39 [size=\"94046208\", alpha=\"0.09\", expect_size=\"47023104\"] \n  39 -> 42 [size =\"47023104\"]\n  40 [size=\"92833792\", alpha=\"0.01\", expect_size=\"46416896\"] \n  40 -> 41 [size =\"46416896\"]\n  40 -> 42 [size =\"46416896\"]\n  41 [size=\"64466944\", alpha=\"0.10\", expect_size=\"32233472\"] \n  41 -> 43 [size =\"32233472\"]\n  41 -> 44 [size =\"32233472\"]\n  41 -> 45 [size =\"32233472\"]\n  42 [size=\"98428928\", alpha=\"0.17\", expect_size=\"49214464\"] \n  42 -> 43 [size =\"49214464\"]\n  42 -> 44 [size =\"49214464\"]\n  42 -> 45 [size =\"49214464\"]\n  43 [size=\"76341248\", alpha=\"0.03\", expect_size=\"38170624\"] \n  44 [size=\"51468288\", alpha=\"0.14\", expect_size=\"25734144\"] \n  45 [size=\"103122944\", alpha=\"0.07\", expect_size=\"51561472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101519360\", alpha=\"0.12\", expect_size=\"30455808\"] \n  1 -> 20 [size =\"30455808\"]\n  1 -> 25 [size =\"30455808\"]\n  1 -> 29 [size =\"30455808\"]\n  1 -> 32 [size =\"30455808\"]\n  1 -> 33 [size =\"30455808\"]\n  2 [size=\"94095360\", alpha=\"0.19\", expect_size=\"28228608\"] \n  2 -> 21 [size =\"28228608\"]\n  2 -> 24 [size =\"28228608\"]\n  2 -> 29 [size =\"28228608\"]\n  3 [size=\"155054080\", alpha=\"0.13\", expect_size=\"46516224\"] \n  3 -> 18 [size =\"46516224\"]\n  3 -> 21 [size =\"46516224\"]\n  3 -> 25 [size =\"46516224\"]\n  3 -> 29 [size =\"46516224\"]\n  3 -> 32 [size =\"46516224\"]\n  4 [size=\"138059093\", alpha=\"0.08\", expect_size=\"41417728\"] \n  4 -> 18 [size =\"41417728\"]\n  4 -> 21 [size =\"41417728\"]\n  4 -> 25 [size =\"41417728\"]\n  4 -> 26 [size =\"41417728\"]\n  4 -> 29 [size =\"41417728\"]\n  5 [size=\"83954347\", alpha=\"0.17\", expect_size=\"25186304\"] \n  5 -> 18 [size =\"25186304\"]\n  5 -> 26 [size =\"25186304\"]\n  6 [size=\"79069867\", alpha=\"0.06\", expect_size=\"23720960\"] \n  6 -> 18 [size =\"23720960\"]\n  6 -> 22 [size =\"23720960\"]\n  6 -> 33 [size =\"23720960\"]\n  7 [size=\"20002133\", alpha=\"0.19\", expect_size=\"6000640\"] \n  7 -> 18 [size =\"6000640\"]\n  7 -> 19 [size =\"6000640\"]\n  7 -> 20 [size =\"6000640\"]\n  7 -> 23 [size =\"6000640\"]\n  7 -> 30 [size =\"6000640\"]\n  7 -> 33 [size =\"6000640\"]\n  8 [size=\"149824853\", alpha=\"0.14\", expect_size=\"44947456\"] \n  8 -> 20 [size =\"44947456\"]\n  8 -> 24 [size =\"44947456\"]\n  8 -> 29 [size =\"44947456\"]\n  8 -> 30 [size =\"44947456\"]\n  8 -> 32 [size =\"44947456\"]\n  9 [size=\"141660160\", alpha=\"0.02\", expect_size=\"42498048\"] \n  9 -> 22 [size =\"42498048\"]\n  9 -> 26 [size =\"42498048\"]\n  9 -> 31 [size =\"42498048\"]\n  10 [size=\"162157227\", alpha=\"0.15\", expect_size=\"48647168\"] \n  10 -> 21 [size =\"48647168\"]\n  10 -> 32 [size =\"48647168\"]\n  11 [size=\"155436373\", alpha=\"0.14\", expect_size=\"46630912\"] \n  11 -> 19 [size =\"46630912\"]\n  11 -> 22 [size =\"46630912\"]\n  11 -> 30 [size =\"46630912\"]\n  11 -> 32 [size =\"46630912\"]\n  12 [size=\"93924693\", alpha=\"0.12\", expect_size=\"28177408\"] \n  12 -> 18 [size =\"28177408\"]\n  12 -> 19 [size =\"28177408\"]\n  12 -> 21 [size =\"28177408\"]\n  12 -> 22 [size =\"28177408\"]\n  12 -> 26 [size =\"28177408\"]\n  12 -> 29 [size =\"28177408\"]\n  12 -> 30 [size =\"28177408\"]\n  13 [size=\"83346773\", alpha=\"0.20\", expect_size=\"25004032\"] \n  13 -> 19 [size =\"25004032\"]\n  13 -> 22 [size =\"25004032\"]\n  13 -> 29 [size =\"25004032\"]\n  13 -> 33 [size =\"25004032\"]\n  14 [size=\"28545707\", alpha=\"0.01\", expect_size=\"8563712\"] \n  14 -> 18 [size =\"8563712\"]\n  14 -> 23 [size =\"8563712\"]\n  14 -> 26 [size =\"8563712\"]\n  14 -> 27 [size =\"8563712\"]\n  14 -> 33 [size =\"8563712\"]\n  15 [size=\"95279787\", alpha=\"0.07\", expect_size=\"28583936\"] \n  15 -> 20 [size =\"28583936\"]\n  15 -> 26 [size =\"28583936\"]\n  15 -> 33 [size =\"28583936\"]\n  16 [size=\"73444693\", alpha=\"0.19\", expect_size=\"22033408\"] \n  16 -> 22 [size =\"22033408\"]\n  16 -> 23 [size =\"22033408\"]\n  16 -> 28 [size =\"22033408\"]\n  17 [size=\"121200640\", alpha=\"0.04\", expect_size=\"36360192\"] \n  17 -> 18 [size =\"36360192\"]\n  17 -> 20 [size =\"36360192\"]\n  17 -> 22 [size =\"36360192\"]\n  17 -> 26 [size =\"36360192\"]\n  17 -> 27 [size =\"36360192\"]\n  17 -> 28 [size =\"36360192\"]\n  17 -> 29 [size =\"36360192\"]\n  18 [size=\"110906027\", alpha=\"0.08\", expect_size=\"33271808\"] \n  18 -> 35 [size =\"33271808\"]\n  18 -> 38 [size =\"33271808\"]\n  18 -> 40 [size =\"33271808\"]\n  18 -> 42 [size =\"33271808\"]\n  18 -> 43 [size =\"33271808\"]\n  19 [size=\"66522453\", alpha=\"0.05\", expect_size=\"19956736\"] \n  19 -> 34 [size =\"19956736\"]\n  19 -> 36 [size =\"19956736\"]\n  19 -> 40 [size =\"19956736\"]\n  19 -> 41 [size =\"19956736\"]\n  19 -> 42 [size =\"19956736\"]\n  19 -> 45 [size =\"19956736\"]\n  20 [size=\"78336000\", alpha=\"0.17\", expect_size=\"23500800\"] \n  20 -> 42 [size =\"23500800\"]\n  21 [size=\"35194880\", alpha=\"0.20\", expect_size=\"10558464\"] \n  21 -> 35 [size =\"10558464\"]\n  21 -> 38 [size =\"10558464\"]\n  21 -> 39 [size =\"10558464\"]\n  21 -> 40 [size =\"10558464\"]\n  21 -> 42 [size =\"10558464\"]\n  21 -> 44 [size =\"10558464\"]\n  21 -> 45 [size =\"10558464\"]\n  22 [size=\"144923307\", alpha=\"0.12\", expect_size=\"43476992\"] \n  22 -> 34 [size =\"43476992\"]\n  22 -> 35 [size =\"43476992\"]\n  22 -> 37 [size =\"43476992\"]\n  22 -> 39 [size =\"43476992\"]\n  22 -> 40 [size =\"43476992\"]\n  22 -> 44 [size =\"43476992\"]\n  23 [size=\"80581973\", alpha=\"0.02\", expect_size=\"24174592\"] \n  23 -> 44 [size =\"24174592\"]\n  24 [size=\"80083627\", alpha=\"0.08\", expect_size=\"24025088\"] \n  24 -> 34 [size =\"24025088\"]\n  24 -> 42 [size =\"24025088\"]\n  24 -> 43 [size =\"24025088\"]\n  24 -> 44 [size =\"24025088\"]\n  25 [size=\"86053547\", alpha=\"0.01\", expect_size=\"25816064\"] \n  25 -> 35 [size =\"25816064\"]\n  25 -> 36 [size =\"25816064\"]\n  25 -> 38 [size =\"25816064\"]\n  25 -> 42 [size =\"25816064\"]\n  25 -> 44 [size =\"25816064\"]\n  25 -> 45 [size =\"25816064\"]\n  26 [size=\"139021653\", alpha=\"0.03\", expect_size=\"41706496\"] \n  26 -> 35 [size =\"41706496\"]\n  26 -> 36 [size =\"41706496\"]\n  26 -> 38 [size =\"41706496\"]\n  26 -> 40 [size =\"41706496\"]\n  26 -> 41 [size =\"41706496\"]\n  27 [size=\"132167680\", alpha=\"0.05\", expect_size=\"39650304\"] \n  27 -> 34 [size =\"39650304\"]\n  27 -> 36 [size =\"39650304\"]\n  27 -> 38 [size =\"39650304\"]\n  27 -> 41 [size =\"39650304\"]\n  27 -> 41 [size =\"39650304\"]\n  27 -> 44 [size =\"39650304\"]\n  28 [size=\"160307200\", alpha=\"0.04\", expect_size=\"48092160\"] \n  28 -> 36 [size =\"48092160\"]\n  28 -> 38 [size =\"48092160\"]\n  28 -> 40 [size =\"48092160\"]\n  28 -> 41 [size =\"48092160\"]\n  28 -> 44 [size =\"48092160\"]\n  29 [size=\"67621547\", alpha=\"0.18\", expect_size=\"20286464\"] \n  29 -> 34 [size =\"20286464\"]\n  29 -> 37 [size =\"20286464\"]\n  29 -> 39 [size =\"20286464\"]\n  29 -> 42 [size =\"20286464\"]\n  30 [size=\"107062613\", alpha=\"0.11\", expect_size=\"32118784\"] \n  30 -> 41 [size =\"32118784\"]\n  30 -> 43 [size =\"32118784\"]\n  31 [size=\"84118187\", alpha=\"0.02\", expect_size=\"25235456\"] \n  31 -> 34 [size =\"25235456\"]\n  31 -> 39 [size =\"25235456\"]\n  31 -> 43 [size =\"25235456\"]\n  32 [size=\"82834773\", alpha=\"0.02\", expect_size=\"24850432\"] \n  32 -> 34 [size =\"24850432\"]\n  32 -> 35 [size =\"24850432\"]\n  32 -> 41 [size =\"24850432\"]\n  33 [size=\"22545067\", alpha=\"0.11\", expect_size=\"6763520\"] \n  33 -> 35 [size =\"6763520\"]\n  33 -> 35 [size =\"6763520\"]\n  33 -> 38 [size =\"6763520\"]\n  33 -> 40 [size =\"6763520\"]\n  33 -> 42 [size =\"6763520\"]\n  33 -> 45 [size =\"6763520\"]\n  34 [size=\"40826880\", alpha=\"0.01\", expect_size=\"12248064\"] \n  35 [size=\"100980053\", alpha=\"0.00\", expect_size=\"30294016\"] \n  36 [size=\"112196267\", alpha=\"0.07\", expect_size=\"33658880\"] \n  37 [size=\"136069120\", alpha=\"0.08\", expect_size=\"40820736\"] \n  38 [size=\"17838080\", alpha=\"0.20\", expect_size=\"5351424\"] \n  39 [size=\"47141547\", alpha=\"0.18\", expect_size=\"14142464\"] \n  40 [size=\"33594027\", alpha=\"0.04\", expect_size=\"10078208\"] \n  41 [size=\"121869653\", alpha=\"0.12\", expect_size=\"36560896\"] \n  42 [size=\"135365973\", alpha=\"0.17\", expect_size=\"40609792\"] \n  43 [size=\"150531413\", alpha=\"0.09\", expect_size=\"45159424\"] \n  44 [size=\"75946667\", alpha=\"0.10\", expect_size=\"22784000\"] \n  45 [size=\"79970987\", alpha=\"0.19\", expect_size=\"23991296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15015936\", alpha=\"0.07\", expect_size=\"7507968\"] \n  1 -> 2 [size =\"7507968\"]\n  2 [size=\"59910144\", alpha=\"0.00\", expect_size=\"29955072\"] \n  2 -> 3 [size =\"29955072\"]\n  3 [size=\"80656384\", alpha=\"0.12\", expect_size=\"40328192\"] \n  3 -> 4 [size =\"40328192\"]\n  4 [size=\"18391040\", alpha=\"0.10\", expect_size=\"9195520\"] \n  4 -> 5 [size =\"9195520\"]\n  5 [size=\"99426304\", alpha=\"0.05\", expect_size=\"49713152\"] \n  5 -> 6 [size =\"49713152\"]\n  6 [size=\"62468096\", alpha=\"0.15\", expect_size=\"31234048\"] \n  6 -> 7 [size =\"31234048\"]\n  7 [size=\"71702528\", alpha=\"0.16\", expect_size=\"35851264\"] \n  7 -> 8 [size =\"35851264\"]\n  8 [size=\"37056512\", alpha=\"0.15\", expect_size=\"18528256\"] \n  8 -> 9 [size =\"18528256\"]\n  9 [size=\"36767744\", alpha=\"0.13\", expect_size=\"18383872\"] \n  9 -> 10 [size =\"18383872\"]\n  10 [size=\"99887104\", alpha=\"0.06\", expect_size=\"49943552\"] \n  10 -> 11 [size =\"49943552\"]\n  11 [size=\"30439424\", alpha=\"0.06\", expect_size=\"15219712\"] \n  11 -> 12 [size =\"15219712\"]\n  12 [size=\"61515776\", alpha=\"0.18\", expect_size=\"30757888\"] \n  12 -> 13 [size =\"30757888\"]\n  13 [size=\"63102976\", alpha=\"0.16\", expect_size=\"31551488\"] \n  13 -> 14 [size =\"31551488\"]\n  14 [size=\"26740736\", alpha=\"0.06\", expect_size=\"13370368\"] \n  14 -> 15 [size =\"13370368\"]\n  15 [size=\"73902080\", alpha=\"0.06\", expect_size=\"36951040\"] \n  15 -> 16 [size =\"36951040\"]\n  16 [size=\"98799616\", alpha=\"0.07\", expect_size=\"49399808\"] \n  16 -> 17 [size =\"49399808\"]\n  17 [size=\"73826304\", alpha=\"0.16\", expect_size=\"36913152\"] \n  17 -> 18 [size =\"36913152\"]\n  18 [size=\"55279616\", alpha=\"0.03\", expect_size=\"27639808\"] \n  18 -> 19 [size =\"27639808\"]\n  19 [size=\"32759808\", alpha=\"0.11\", expect_size=\"16379904\"] \n  19 -> 20 [size =\"16379904\"]\n  20 [size=\"94547968\", alpha=\"0.16\", expect_size=\"47273984\"] \n  20 -> 21 [size =\"47273984\"]\n  21 [size=\"28772352\", alpha=\"0.01\", expect_size=\"14386176\"] \n  21 -> 22 [size =\"14386176\"]\n  22 [size=\"59162624\", alpha=\"0.17\", expect_size=\"29581312\"] \n  22 -> 23 [size =\"29581312\"]\n  23 [size=\"49524736\", alpha=\"0.08\", expect_size=\"24762368\"] \n  23 -> 24 [size =\"24762368\"]\n  24 [size=\"29652992\", alpha=\"0.00\", expect_size=\"14826496\"] \n  24 -> 25 [size =\"14826496\"]\n  25 [size=\"56870912\", alpha=\"0.11\", expect_size=\"28435456\"] \n  25 -> 26 [size =\"28435456\"]\n  26 [size=\"85114880\", alpha=\"0.14\", expect_size=\"42557440\"] \n  26 -> 27 [size =\"42557440\"]\n  27 [size=\"22675456\", alpha=\"0.09\", expect_size=\"11337728\"] \n  27 -> 28 [size =\"11337728\"]\n  28 [size=\"100208640\", alpha=\"0.10\", expect_size=\"50104320\"] \n  28 -> 29 [size =\"50104320\"]\n  29 [size=\"18812928\", alpha=\"0.16\", expect_size=\"9406464\"] \n  29 -> 30 [size =\"9406464\"]\n  30 [size=\"71112704\", alpha=\"0.02\", expect_size=\"35556352\"] \n  30 -> 31 [size =\"35556352\"]\n  31 [size=\"50063360\", alpha=\"0.11\", expect_size=\"25031680\"] \n  31 -> 32 [size =\"25031680\"]\n  32 [size=\"54566912\", alpha=\"0.12\", expect_size=\"27283456\"] \n  32 -> 33 [size =\"27283456\"]\n  33 [size=\"39677952\", alpha=\"0.03\", expect_size=\"19838976\"] \n  33 -> 34 [size =\"19838976\"]\n  34 [size=\"75565056\", alpha=\"0.19\", expect_size=\"37782528\"] \n  34 -> 35 [size =\"37782528\"]\n  35 [size=\"75765760\", alpha=\"0.07\", expect_size=\"37882880\"] \n  35 -> 36 [size =\"37882880\"]\n  36 [size=\"34846720\", alpha=\"0.14\", expect_size=\"17423360\"] \n  36 -> 37 [size =\"17423360\"]\n  37 [size=\"99166208\", alpha=\"0.15\", expect_size=\"49583104\"] \n  37 -> 38 [size =\"49583104\"]\n  38 [size=\"46821376\", alpha=\"0.05\", expect_size=\"23410688\"] \n  38 -> 39 [size =\"23410688\"]\n  39 [size=\"93132800\", alpha=\"0.20\", expect_size=\"46566400\"] \n  39 -> 40 [size =\"46566400\"]\n  40 [size=\"75636736\", alpha=\"0.13\", expect_size=\"37818368\"] \n  40 -> 41 [size =\"37818368\"]\n  41 [size=\"83734528\", alpha=\"0.09\", expect_size=\"41867264\"] \n  41 -> 42 [size =\"41867264\"]\n  42 [size=\"43012096\", alpha=\"0.16\", expect_size=\"21506048\"] \n  42 -> 43 [size =\"21506048\"]\n  43 [size=\"98871296\", alpha=\"0.11\", expect_size=\"49435648\"] \n  43 -> 44 [size =\"49435648\"]\n  44 [size=\"20817920\", alpha=\"0.10\", expect_size=\"10408960\"] \n  44 -> 45 [size =\"10408960\"]\n  45 [size=\"13848576\", alpha=\"0.19\", expect_size=\"6924288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19507200\", alpha=\"0.10\", expect_size=\"7802880\"] \n  1 -> 6 [size =\"7802880\"]\n  1 -> 7 [size =\"7802880\"]\n  2 [size=\"81725440\", alpha=\"0.18\", expect_size=\"32690176\"] \n  2 -> 6 [size =\"32690176\"]\n  2 -> 10 [size =\"32690176\"]\n  3 [size=\"114199040\", alpha=\"0.18\", expect_size=\"45679616\"] \n  3 -> 9 [size =\"45679616\"]\n  3 -> 10 [size =\"45679616\"]\n  4 [size=\"48066560\", alpha=\"0.19\", expect_size=\"19226624\"] \n  5 [size=\"89402880\", alpha=\"0.04\", expect_size=\"35761152\"] \n  5 -> 6 [size =\"35761152\"]\n  5 -> 8 [size =\"35761152\"]\n  6 [size=\"110730240\", alpha=\"0.13\", expect_size=\"44292096\"] \n  6 -> 11 [size =\"44292096\"]\n  6 -> 13 [size =\"44292096\"]\n  7 [size=\"38238720\", alpha=\"0.05\", expect_size=\"15295488\"] \n  7 -> 11 [size =\"15295488\"]\n  8 [size=\"35648000\", alpha=\"0.14\", expect_size=\"14259200\"] \n  9 [size=\"43957760\", alpha=\"0.01\", expect_size=\"17583104\"] \n  9 -> 11 [size =\"17583104\"]\n  9 -> 13 [size =\"17583104\"]\n  10 [size=\"51028480\", alpha=\"0.01\", expect_size=\"20411392\"] \n  10 -> 11 [size =\"20411392\"]\n  10 -> 12 [size =\"20411392\"]\n  10 -> 13 [size =\"20411392\"]\n  11 [size=\"116485120\", alpha=\"0.20\", expect_size=\"46594048\"] \n  11 -> 14 [size =\"46594048\"]\n  11 -> 15 [size =\"46594048\"]\n  11 -> 16 [size =\"46594048\"]\n  11 -> 17 [size =\"46594048\"]\n  11 -> 18 [size =\"46594048\"]\n  11 -> 19 [size =\"46594048\"]\n  12 [size=\"56161280\", alpha=\"0.13\", expect_size=\"22464512\"] \n  12 -> 17 [size =\"22464512\"]\n  12 -> 20 [size =\"22464512\"]\n  13 [size=\"47101440\", alpha=\"0.07\", expect_size=\"18840576\"] \n  13 -> 14 [size =\"18840576\"]\n  13 -> 15 [size =\"18840576\"]\n  13 -> 16 [size =\"18840576\"]\n  13 -> 17 [size =\"18840576\"]\n  13 -> 18 [size =\"18840576\"]\n  13 -> 19 [size =\"18840576\"]\n  14 [size=\"36282880\", alpha=\"0.16\", expect_size=\"14513152\"] \n  14 -> 21 [size =\"14513152\"]\n  15 [size=\"32773120\", alpha=\"0.19\", expect_size=\"13109248\"] \n  15 -> 25 [size =\"13109248\"]\n  16 [size=\"56678400\", alpha=\"0.13\", expect_size=\"22671360\"] \n  16 -> 22 [size =\"22671360\"]\n  16 -> 24 [size =\"22671360\"]\n  16 -> 25 [size =\"22671360\"]\n  17 [size=\"17492480\", alpha=\"0.14\", expect_size=\"6996992\"] \n  17 -> 21 [size =\"6996992\"]\n  17 -> 22 [size =\"6996992\"]\n  17 -> 23 [size =\"6996992\"]\n  17 -> 25 [size =\"6996992\"]\n  18 [size=\"45642240\", alpha=\"0.05\", expect_size=\"18256896\"] \n  18 -> 23 [size =\"18256896\"]\n  19 [size=\"130777600\", alpha=\"0.09\", expect_size=\"52311040\"] \n  19 -> 21 [size =\"52311040\"]\n  19 -> 23 [size =\"52311040\"]\n  20 [size=\"20968960\", alpha=\"0.08\", expect_size=\"8387584\"] \n  20 -> 22 [size =\"8387584\"]\n  20 -> 24 [size =\"8387584\"]\n  21 [size=\"28190720\", alpha=\"0.08\", expect_size=\"11276288\"] \n  22 [size=\"27765760\", alpha=\"0.20\", expect_size=\"11106304\"] \n  22 -> 26 [size =\"11106304\"]\n  22 -> 28 [size =\"11106304\"]\n  23 [size=\"104829440\", alpha=\"0.08\", expect_size=\"41931776\"] \n  23 -> 27 [size =\"41931776\"]\n  24 [size=\"25768960\", alpha=\"0.03\", expect_size=\"10307584\"] \n  24 -> 26 [size =\"10307584\"]\n  25 [size=\"119006720\", alpha=\"0.10\", expect_size=\"47602688\"] \n  26 [size=\"111813120\", alpha=\"0.14\", expect_size=\"44725248\"] \n  26 -> 29 [size =\"44725248\"]\n  26 -> 30 [size =\"44725248\"]\n  26 -> 31 [size =\"44725248\"]\n  26 -> 33 [size =\"44725248\"]\n  26 -> 35 [size =\"44725248\"]\n  27 [size=\"70996480\", alpha=\"0.03\", expect_size=\"28398592\"] \n  27 -> 30 [size =\"28398592\"]\n  27 -> 31 [size =\"28398592\"]\n  27 -> 32 [size =\"28398592\"]\n  27 -> 34 [size =\"28398592\"]\n  27 -> 35 [size =\"28398592\"]\n  28 [size=\"36595200\", alpha=\"0.15\", expect_size=\"14638080\"] \n  28 -> 29 [size =\"14638080\"]\n  28 -> 31 [size =\"14638080\"]\n  28 -> 33 [size =\"14638080\"]\n  28 -> 34 [size =\"14638080\"]\n  29 [size=\"65922560\", alpha=\"0.12\", expect_size=\"26369024\"] \n  30 [size=\"121408000\", alpha=\"0.16\", expect_size=\"48563200\"] \n  30 -> 38 [size =\"48563200\"]\n  30 -> 41 [size =\"48563200\"]\n  30 -> 42 [size =\"48563200\"]\n  31 [size=\"51778560\", alpha=\"0.17\", expect_size=\"20711424\"] \n  31 -> 36 [size =\"20711424\"]\n  31 -> 38 [size =\"20711424\"]\n  31 -> 40 [size =\"20711424\"]\n  32 [size=\"99358720\", alpha=\"0.06\", expect_size=\"39743488\"] \n  32 -> 36 [size =\"39743488\"]\n  32 -> 38 [size =\"39743488\"]\n  32 -> 39 [size =\"39743488\"]\n  32 -> 40 [size =\"39743488\"]\n  32 -> 43 [size =\"39743488\"]\n  33 [size=\"96842240\", alpha=\"0.00\", expect_size=\"38736896\"] \n  33 -> 37 [size =\"38736896\"]\n  33 -> 38 [size =\"38736896\"]\n  33 -> 42 [size =\"38736896\"]\n  34 [size=\"27356160\", alpha=\"0.19\", expect_size=\"10942464\"] \n  34 -> 36 [size =\"10942464\"]\n  34 -> 37 [size =\"10942464\"]\n  35 [size=\"43827200\", alpha=\"0.00\", expect_size=\"17530880\"] \n  35 -> 36 [size =\"17530880\"]\n  35 -> 39 [size =\"17530880\"]\n  35 -> 42 [size =\"17530880\"]\n  36 [size=\"104588800\", alpha=\"0.09\", expect_size=\"41835520\"] \n  36 -> 44 [size =\"41835520\"]\n  37 [size=\"71331840\", alpha=\"0.19\", expect_size=\"28532736\"] \n  38 [size=\"87160320\", alpha=\"0.14\", expect_size=\"34864128\"] \n  38 -> 45 [size =\"34864128\"]\n  39 [size=\"56647680\", alpha=\"0.10\", expect_size=\"22659072\"] \n  40 [size=\"128609280\", alpha=\"0.06\", expect_size=\"51443712\"] \n  40 -> 44 [size =\"51443712\"]\n  41 [size=\"105041920\", alpha=\"0.05\", expect_size=\"42016768\"] \n  41 -> 44 [size =\"42016768\"]\n  42 [size=\"89320960\", alpha=\"0.07\", expect_size=\"35728384\"] \n  42 -> 44 [size =\"35728384\"]\n  42 -> 45 [size =\"35728384\"]\n  43 [size=\"124505600\", alpha=\"0.04\", expect_size=\"49802240\"] \n  44 [size=\"126622720\", alpha=\"0.04\", expect_size=\"50649088\"] \n  45 [size=\"118853120\", alpha=\"0.01\", expect_size=\"47541248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97697792\", alpha=\"0.11\", expect_size=\"48848896\"] \n  1 -> 2 [size =\"48848896\"]\n  1 -> 3 [size =\"48848896\"]\n  2 [size=\"79476736\", alpha=\"0.10\", expect_size=\"39738368\"] \n  2 -> 4 [size =\"39738368\"]\n  3 [size=\"21997568\", alpha=\"0.05\", expect_size=\"10998784\"] \n  3 -> 5 [size =\"10998784\"]\n  4 [size=\"85540864\", alpha=\"0.10\", expect_size=\"42770432\"] \n  4 -> 6 [size =\"42770432\"]\n  5 [size=\"90634240\", alpha=\"0.19\", expect_size=\"45317120\"] \n  5 -> 6 [size =\"45317120\"]\n  6 [size=\"103235584\", alpha=\"0.04\", expect_size=\"51617792\"] \n  6 -> 7 [size =\"51617792\"]\n  6 -> 8 [size =\"51617792\"]\n  6 -> 9 [size =\"51617792\"]\n  7 [size=\"36300800\", alpha=\"0.13\", expect_size=\"18150400\"] \n  8 [size=\"64278528\", alpha=\"0.02\", expect_size=\"32139264\"] \n  8 -> 11 [size =\"32139264\"]\n  9 [size=\"42717184\", alpha=\"0.20\", expect_size=\"21358592\"] \n  9 -> 10 [size =\"21358592\"]\n  10 [size=\"16203776\", alpha=\"0.03\", expect_size=\"8101888\"] \n  10 -> 12 [size =\"8101888\"]\n  11 [size=\"96993280\", alpha=\"0.17\", expect_size=\"48496640\"] \n  11 -> 12 [size =\"48496640\"]\n  11 -> 13 [size =\"48496640\"]\n  12 [size=\"53178368\", alpha=\"0.12\", expect_size=\"26589184\"] \n  12 -> 14 [size =\"26589184\"]\n  12 -> 15 [size =\"26589184\"]\n  13 [size=\"99235840\", alpha=\"0.08\", expect_size=\"49617920\"] \n  13 -> 14 [size =\"49617920\"]\n  13 -> 16 [size =\"49617920\"]\n  13 -> 17 [size =\"49617920\"]\n  14 [size=\"29937664\", alpha=\"0.10\", expect_size=\"14968832\"] \n  14 -> 18 [size =\"14968832\"]\n  14 -> 19 [size =\"14968832\"]\n  15 [size=\"76992512\", alpha=\"0.17\", expect_size=\"38496256\"] \n  15 -> 18 [size =\"38496256\"]\n  16 [size=\"74057728\", alpha=\"0.17\", expect_size=\"37028864\"] \n  17 [size=\"91195392\", alpha=\"0.15\", expect_size=\"45597696\"] \n  17 -> 19 [size =\"45597696\"]\n  18 [size=\"57350144\", alpha=\"0.01\", expect_size=\"28675072\"] \n  19 [size=\"66955264\", alpha=\"0.03\", expect_size=\"33477632\"] \n  19 -> 20 [size =\"33477632\"]\n  19 -> 21 [size =\"33477632\"]\n  20 [size=\"65370112\", alpha=\"0.09\", expect_size=\"32685056\"] \n  20 -> 23 [size =\"32685056\"]\n  21 [size=\"80889856\", alpha=\"0.14\", expect_size=\"40444928\"] \n  21 -> 22 [size =\"40444928\"]\n  22 [size=\"64663552\", alpha=\"0.13\", expect_size=\"32331776\"] \n  22 -> 24 [size =\"32331776\"]\n  22 -> 25 [size =\"32331776\"]\n  23 [size=\"28397568\", alpha=\"0.15\", expect_size=\"14198784\"] \n  23 -> 24 [size =\"14198784\"]\n  23 -> 25 [size =\"14198784\"]\n  24 [size=\"64161792\", alpha=\"0.13\", expect_size=\"32080896\"] \n  24 -> 27 [size =\"32080896\"]\n  25 [size=\"18737152\", alpha=\"0.07\", expect_size=\"9368576\"] \n  25 -> 26 [size =\"9368576\"]\n  25 -> 28 [size =\"9368576\"]\n  26 [size=\"101109760\", alpha=\"0.01\", expect_size=\"50554880\"] \n  26 -> 30 [size =\"50554880\"]\n  27 [size=\"88576000\", alpha=\"0.01\", expect_size=\"44288000\"] \n  28 [size=\"62871552\", alpha=\"0.12\", expect_size=\"31435776\"] \n  28 -> 29 [size =\"31435776\"]\n  28 -> 30 [size =\"31435776\"]\n  28 -> 31 [size =\"31435776\"]\n  29 [size=\"66498560\", alpha=\"0.10\", expect_size=\"33249280\"] \n  29 -> 33 [size =\"33249280\"]\n  29 -> 35 [size =\"33249280\"]\n  30 [size=\"80265216\", alpha=\"0.10\", expect_size=\"40132608\"] \n  30 -> 32 [size =\"40132608\"]\n  30 -> 33 [size =\"40132608\"]\n  30 -> 34 [size =\"40132608\"]\n  30 -> 35 [size =\"40132608\"]\n  31 [size=\"28936192\", alpha=\"0.07\", expect_size=\"14468096\"] \n  31 -> 32 [size =\"14468096\"]\n  31 -> 34 [size =\"14468096\"]\n  32 [size=\"94095360\", alpha=\"0.14\", expect_size=\"47047680\"] \n  32 -> 38 [size =\"47047680\"]\n  33 [size=\"61622272\", alpha=\"0.19\", expect_size=\"30811136\"] \n  33 -> 36 [size =\"30811136\"]\n  33 -> 37 [size =\"30811136\"]\n  33 -> 38 [size =\"30811136\"]\n  34 [size=\"37398528\", alpha=\"0.09\", expect_size=\"18699264\"] \n  34 -> 37 [size =\"18699264\"]\n  34 -> 38 [size =\"18699264\"]\n  35 [size=\"96479232\", alpha=\"0.12\", expect_size=\"48239616\"] \n  35 -> 37 [size =\"48239616\"]\n  36 [size=\"35901440\", alpha=\"0.09\", expect_size=\"17950720\"] \n  36 -> 40 [size =\"17950720\"]\n  37 [size=\"42786816\", alpha=\"0.04\", expect_size=\"21393408\"] \n  38 [size=\"48578560\", alpha=\"0.08\", expect_size=\"24289280\"] \n  38 -> 39 [size =\"24289280\"]\n  38 -> 40 [size =\"24289280\"]\n  39 [size=\"12699648\", alpha=\"0.04\", expect_size=\"6349824\"] \n  39 -> 41 [size =\"6349824\"]\n  40 [size=\"61753344\", alpha=\"0.12\", expect_size=\"30876672\"] \n  40 -> 41 [size =\"30876672\"]\n  40 -> 42 [size =\"30876672\"]\n  41 [size=\"12713984\", alpha=\"0.14\", expect_size=\"6356992\"] \n  41 -> 43 [size =\"6356992\"]\n  41 -> 44 [size =\"6356992\"]\n  41 -> 45 [size =\"6356992\"]\n  42 [size=\"46465024\", alpha=\"0.08\", expect_size=\"23232512\"] \n  42 -> 43 [size =\"23232512\"]\n  42 -> 44 [size =\"23232512\"]\n  42 -> 45 [size =\"23232512\"]\n  43 [size=\"16955392\", alpha=\"0.06\", expect_size=\"8477696\"] \n  44 [size=\"12937216\", alpha=\"0.16\", expect_size=\"6468608\"] \n  45 [size=\"53858304\", alpha=\"0.07\", expect_size=\"26929152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114278400\", alpha=\"0.04\", expect_size=\"34283520\"] \n  1 -> 14 [size =\"34283520\"]\n  1 -> 15 [size =\"34283520\"]\n  1 -> 23 [size =\"34283520\"]\n  1 -> 25 [size =\"34283520\"]\n  1 -> 26 [size =\"34283520\"]\n  2 [size=\"132266667\", alpha=\"0.10\", expect_size=\"39680000\"] \n  2 -> 15 [size =\"39680000\"]\n  2 -> 20 [size =\"39680000\"]\n  2 -> 22 [size =\"39680000\"]\n  3 [size=\"22241280\", alpha=\"0.10\", expect_size=\"6672384\"] \n  3 -> 17 [size =\"6672384\"]\n  3 -> 18 [size =\"6672384\"]\n  3 -> 20 [size =\"6672384\"]\n  3 -> 21 [size =\"6672384\"]\n  3 -> 22 [size =\"6672384\"]\n  4 [size=\"130041173\", alpha=\"0.18\", expect_size=\"39012352\"] \n  4 -> 18 [size =\"39012352\"]\n  4 -> 19 [size =\"39012352\"]\n  4 -> 20 [size =\"39012352\"]\n  4 -> 25 [size =\"39012352\"]\n  5 [size=\"42871467\", alpha=\"0.08\", expect_size=\"12861440\"] \n  5 -> 13 [size =\"12861440\"]\n  5 -> 25 [size =\"12861440\"]\n  6 [size=\"52988587\", alpha=\"0.10\", expect_size=\"15896576\"] \n  6 -> 13 [size =\"15896576\"]\n  6 -> 16 [size =\"15896576\"]\n  7 [size=\"74383360\", alpha=\"0.07\", expect_size=\"22315008\"] \n  7 -> 15 [size =\"22315008\"]\n  7 -> 25 [size =\"22315008\"]\n  8 [size=\"90804907\", alpha=\"0.07\", expect_size=\"27241472\"] \n  8 -> 13 [size =\"27241472\"]\n  8 -> 19 [size =\"27241472\"]\n  8 -> 25 [size =\"27241472\"]\n  8 -> 26 [size =\"27241472\"]\n  9 [size=\"103522987\", alpha=\"0.09\", expect_size=\"31056896\"] \n  9 -> 13 [size =\"31056896\"]\n  9 -> 15 [size =\"31056896\"]\n  9 -> 17 [size =\"31056896\"]\n  9 -> 21 [size =\"31056896\"]\n  9 -> 25 [size =\"31056896\"]\n  10 [size=\"170038613\", alpha=\"0.17\", expect_size=\"51011584\"] \n  10 -> 17 [size =\"51011584\"]\n  10 -> 19 [size =\"51011584\"]\n  10 -> 21 [size =\"51011584\"]\n  10 -> 24 [size =\"51011584\"]\n  10 -> 25 [size =\"51011584\"]\n  11 [size=\"122316800\", alpha=\"0.16\", expect_size=\"36695040\"] \n  11 -> 13 [size =\"36695040\"]\n  11 -> 14 [size =\"36695040\"]\n  11 -> 17 [size =\"36695040\"]\n  11 -> 21 [size =\"36695040\"]\n  11 -> 23 [size =\"36695040\"]\n  11 -> 24 [size =\"36695040\"]\n  11 -> 25 [size =\"36695040\"]\n  12 [size=\"150879573\", alpha=\"0.15\", expect_size=\"45263872\"] \n  12 -> 23 [size =\"45263872\"]\n  13 [size=\"68631893\", alpha=\"0.10\", expect_size=\"20589568\"] \n  13 -> 29 [size =\"20589568\"]\n  13 -> 36 [size =\"20589568\"]\n  14 [size=\"145063253\", alpha=\"0.16\", expect_size=\"43518976\"] \n  14 -> 27 [size =\"43518976\"]\n  14 -> 29 [size =\"43518976\"]\n  15 [size=\"129491627\", alpha=\"0.02\", expect_size=\"38847488\"] \n  15 -> 27 [size =\"38847488\"]\n  15 -> 29 [size =\"38847488\"]\n  15 -> 31 [size =\"38847488\"]\n  15 -> 34 [size =\"38847488\"]\n  16 [size=\"36386133\", alpha=\"0.07\", expect_size=\"10915840\"] \n  16 -> 28 [size =\"10915840\"]\n  16 -> 29 [size =\"10915840\"]\n  16 -> 34 [size =\"10915840\"]\n  16 -> 37 [size =\"10915840\"]\n  17 [size=\"111476053\", alpha=\"0.13\", expect_size=\"33442816\"] \n  17 -> 28 [size =\"33442816\"]\n  17 -> 34 [size =\"33442816\"]\n  18 [size=\"164085760\", alpha=\"0.12\", expect_size=\"49225728\"] \n  18 -> 34 [size =\"49225728\"]\n  18 -> 38 [size =\"49225728\"]\n  19 [size=\"60511573\", alpha=\"0.15\", expect_size=\"18153472\"] \n  19 -> 31 [size =\"18153472\"]\n  19 -> 35 [size =\"18153472\"]\n  20 [size=\"129887573\", alpha=\"0.09\", expect_size=\"38966272\"] \n  20 -> 31 [size =\"38966272\"]\n  20 -> 35 [size =\"38966272\"]\n  21 [size=\"103973547\", alpha=\"0.15\", expect_size=\"31192064\"] \n  21 -> 31 [size =\"31192064\"]\n  21 -> 32 [size =\"31192064\"]\n  21 -> 34 [size =\"31192064\"]\n  22 [size=\"75322027\", alpha=\"0.15\", expect_size=\"22596608\"] \n  22 -> 27 [size =\"22596608\"]\n  22 -> 29 [size =\"22596608\"]\n  22 -> 30 [size =\"22596608\"]\n  22 -> 32 [size =\"22596608\"]\n  22 -> 33 [size =\"22596608\"]\n  22 -> 36 [size =\"22596608\"]\n  23 [size=\"32153600\", alpha=\"0.17\", expect_size=\"9646080\"] \n  23 -> 30 [size =\"9646080\"]\n  23 -> 31 [size =\"9646080\"]\n  23 -> 34 [size =\"9646080\"]\n  24 [size=\"108602027\", alpha=\"0.12\", expect_size=\"32580608\"] \n  24 -> 27 [size =\"32580608\"]\n  24 -> 28 [size =\"32580608\"]\n  24 -> 30 [size =\"32580608\"]\n  24 -> 32 [size =\"32580608\"]\n  24 -> 34 [size =\"32580608\"]\n  25 [size=\"78124373\", alpha=\"0.11\", expect_size=\"23437312\"] \n  25 -> 28 [size =\"23437312\"]\n  25 -> 30 [size =\"23437312\"]\n  25 -> 30 [size =\"23437312\"]\n  25 -> 32 [size =\"23437312\"]\n  25 -> 34 [size =\"23437312\"]\n  26 [size=\"95225173\", alpha=\"0.14\", expect_size=\"28567552\"] \n  26 -> 31 [size =\"28567552\"]\n  27 [size=\"151821653\", alpha=\"0.05\", expect_size=\"45546496\"] \n  27 -> 43 [size =\"45546496\"]\n  27 -> 44 [size =\"45546496\"]\n  27 -> 45 [size =\"45546496\"]\n  28 [size=\"93105493\", alpha=\"0.05\", expect_size=\"27931648\"] \n  28 -> 43 [size =\"27931648\"]\n  29 [size=\"27084800\", alpha=\"0.15\", expect_size=\"8125440\"] \n  29 -> 42 [size =\"8125440\"]\n  29 -> 43 [size =\"8125440\"]\n  29 -> 45 [size =\"8125440\"]\n  30 [size=\"144281600\", alpha=\"0.06\", expect_size=\"43284480\"] \n  30 -> 39 [size =\"43284480\"]\n  30 -> 40 [size =\"43284480\"]\n  30 -> 44 [size =\"43284480\"]\n  30 -> 45 [size =\"43284480\"]\n  31 [size=\"54889813\", alpha=\"0.09\", expect_size=\"16466944\"] \n  31 -> 39 [size =\"16466944\"]\n  31 -> 40 [size =\"16466944\"]\n  31 -> 43 [size =\"16466944\"]\n  31 -> 44 [size =\"16466944\"]\n  32 [size=\"170280960\", alpha=\"0.10\", expect_size=\"51084288\"] \n  32 -> 39 [size =\"51084288\"]\n  32 -> 40 [size =\"51084288\"]\n  32 -> 41 [size =\"51084288\"]\n  32 -> 42 [size =\"51084288\"]\n  32 -> 44 [size =\"51084288\"]\n  33 [size=\"133393067\", alpha=\"0.17\", expect_size=\"40017920\"] \n  33 -> 39 [size =\"40017920\"]\n  34 [size=\"106277547\", alpha=\"0.20\", expect_size=\"31883264\"] \n  34 -> 40 [size =\"31883264\"]\n  34 -> 45 [size =\"31883264\"]\n  35 [size=\"44209493\", alpha=\"0.17\", expect_size=\"13262848\"] \n  35 -> 40 [size =\"13262848\"]\n  36 [size=\"129877333\", alpha=\"0.17\", expect_size=\"38963200\"] \n  36 -> 44 [size =\"38963200\"]\n  36 -> 45 [size =\"38963200\"]\n  37 [size=\"84217173\", alpha=\"0.09\", expect_size=\"25265152\"] \n  37 -> 43 [size =\"25265152\"]\n  37 -> 45 [size =\"25265152\"]\n  38 [size=\"121432747\", alpha=\"0.20\", expect_size=\"36429824\"] \n  38 -> 45 [size =\"36429824\"]\n  39 [size=\"157556053\", alpha=\"0.15\", expect_size=\"47266816\"] \n  40 [size=\"121357653\", alpha=\"0.06\", expect_size=\"36407296\"] \n  41 [size=\"165396480\", alpha=\"0.07\", expect_size=\"49618944\"] \n  42 [size=\"79947093\", alpha=\"0.16\", expect_size=\"23984128\"] \n  43 [size=\"155695787\", alpha=\"0.06\", expect_size=\"46708736\"] \n  44 [size=\"129228800\", alpha=\"0.08\", expect_size=\"38768640\"] \n  45 [size=\"128136533\", alpha=\"0.18\", expect_size=\"38440960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12662784\", alpha=\"0.11\", expect_size=\"6331392\"] \n  1 -> 10 [size =\"6331392\"]\n  1 -> 11 [size =\"6331392\"]\n  2 [size=\"18956288\", alpha=\"0.17\", expect_size=\"9478144\"] \n  2 -> 7 [size =\"9478144\"]\n  2 -> 8 [size =\"9478144\"]\n  3 [size=\"39751680\", alpha=\"0.11\", expect_size=\"19875840\"] \n  3 -> 8 [size =\"19875840\"]\n  3 -> 11 [size =\"19875840\"]\n  4 [size=\"89694208\", alpha=\"0.01\", expect_size=\"44847104\"] \n  4 -> 9 [size =\"44847104\"]\n  5 [size=\"95979520\", alpha=\"0.16\", expect_size=\"47989760\"] \n  5 -> 8 [size =\"47989760\"]\n  6 [size=\"59693056\", alpha=\"0.09\", expect_size=\"29846528\"] \n  6 -> 8 [size =\"29846528\"]\n  6 -> 10 [size =\"29846528\"]\n  7 [size=\"47101952\", alpha=\"0.05\", expect_size=\"23550976\"] \n  7 -> 13 [size =\"23550976\"]\n  7 -> 14 [size =\"23550976\"]\n  8 [size=\"86974464\", alpha=\"0.18\", expect_size=\"43487232\"] \n  8 -> 12 [size =\"43487232\"]\n  9 [size=\"25763840\", alpha=\"0.15\", expect_size=\"12881920\"] \n  9 -> 12 [size =\"12881920\"]\n  9 -> 13 [size =\"12881920\"]\n  9 -> 14 [size =\"12881920\"]\n  10 [size=\"24598528\", alpha=\"0.03\", expect_size=\"12299264\"] \n  10 -> 14 [size =\"12299264\"]\n  11 [size=\"102428672\", alpha=\"0.06\", expect_size=\"51214336\"] \n  11 -> 14 [size =\"51214336\"]\n  12 [size=\"60420096\", alpha=\"0.01\", expect_size=\"30210048\"] \n  12 -> 15 [size =\"30210048\"]\n  12 -> 19 [size =\"30210048\"]\n  12 -> 21 [size =\"30210048\"]\n  12 -> 22 [size =\"30210048\"]\n  13 [size=\"43970560\", alpha=\"0.18\", expect_size=\"21985280\"] \n  13 -> 15 [size =\"21985280\"]\n  13 -> 18 [size =\"21985280\"]\n  13 -> 20 [size =\"21985280\"]\n  14 [size=\"94191616\", alpha=\"0.04\", expect_size=\"47095808\"] \n  14 -> 15 [size =\"47095808\"]\n  14 -> 16 [size =\"47095808\"]\n  14 -> 17 [size =\"47095808\"]\n  14 -> 18 [size =\"47095808\"]\n  14 -> 19 [size =\"47095808\"]\n  14 -> 20 [size =\"47095808\"]\n  15 [size=\"99676160\", alpha=\"0.16\", expect_size=\"49838080\"] \n  15 -> 25 [size =\"49838080\"]\n  15 -> 29 [size =\"49838080\"]\n  15 -> 30 [size =\"49838080\"]\n  16 [size=\"78665728\", alpha=\"0.02\", expect_size=\"39332864\"] \n  16 -> 26 [size =\"39332864\"]\n  16 -> 28 [size =\"39332864\"]\n  16 -> 29 [size =\"39332864\"]\n  16 -> 30 [size =\"39332864\"]\n  17 [size=\"25460736\", alpha=\"0.17\", expect_size=\"12730368\"] \n  17 -> 23 [size =\"12730368\"]\n  17 -> 26 [size =\"12730368\"]\n  17 -> 27 [size =\"12730368\"]\n  17 -> 29 [size =\"12730368\"]\n  17 -> 30 [size =\"12730368\"]\n  18 [size=\"48601088\", alpha=\"0.10\", expect_size=\"24300544\"] \n  18 -> 23 [size =\"24300544\"]\n  18 -> 24 [size =\"24300544\"]\n  18 -> 28 [size =\"24300544\"]\n  18 -> 29 [size =\"24300544\"]\n  19 [size=\"37908480\", alpha=\"0.04\", expect_size=\"18954240\"] \n  19 -> 28 [size =\"18954240\"]\n  19 -> 30 [size =\"18954240\"]\n  20 [size=\"12019712\", alpha=\"0.16\", expect_size=\"6009856\"] \n  20 -> 23 [size =\"6009856\"]\n  20 -> 29 [size =\"6009856\"]\n  21 [size=\"24459264\", alpha=\"0.09\", expect_size=\"12229632\"] \n  21 -> 23 [size =\"12229632\"]\n  21 -> 27 [size =\"12229632\"]\n  21 -> 30 [size =\"12229632\"]\n  22 [size=\"50995200\", alpha=\"0.04\", expect_size=\"25497600\"] \n  22 -> 23 [size =\"25497600\"]\n  22 -> 25 [size =\"25497600\"]\n  22 -> 26 [size =\"25497600\"]\n  22 -> 28 [size =\"25497600\"]\n  22 -> 30 [size =\"25497600\"]\n  23 [size=\"57909248\", alpha=\"0.05\", expect_size=\"28954624\"] \n  23 -> 31 [size =\"28954624\"]\n  23 -> 32 [size =\"28954624\"]\n  23 -> 34 [size =\"28954624\"]\n  23 -> 35 [size =\"28954624\"]\n  24 [size=\"48263168\", alpha=\"0.02\", expect_size=\"24131584\"] \n  24 -> 32 [size =\"24131584\"]\n  24 -> 35 [size =\"24131584\"]\n  24 -> 38 [size =\"24131584\"]\n  25 [size=\"66904064\", alpha=\"0.18\", expect_size=\"33452032\"] \n  25 -> 31 [size =\"33452032\"]\n  25 -> 32 [size =\"33452032\"]\n  25 -> 34 [size =\"33452032\"]\n  25 -> 35 [size =\"33452032\"]\n  25 -> 36 [size =\"33452032\"]\n  26 [size=\"47069184\", alpha=\"0.04\", expect_size=\"23534592\"] \n  26 -> 31 [size =\"23534592\"]\n  26 -> 32 [size =\"23534592\"]\n  26 -> 34 [size =\"23534592\"]\n  27 [size=\"55699456\", alpha=\"0.18\", expect_size=\"27849728\"] \n  27 -> 31 [size =\"27849728\"]\n  27 -> 32 [size =\"27849728\"]\n  27 -> 36 [size =\"27849728\"]\n  28 [size=\"40013824\", alpha=\"0.08\", expect_size=\"20006912\"] \n  28 -> 33 [size =\"20006912\"]\n  28 -> 35 [size =\"20006912\"]\n  28 -> 36 [size =\"20006912\"]\n  29 [size=\"88995840\", alpha=\"0.01\", expect_size=\"44497920\"] \n  29 -> 32 [size =\"44497920\"]\n  29 -> 35 [size =\"44497920\"]\n  30 [size=\"14116864\", alpha=\"0.17\", expect_size=\"7058432\"] \n  30 -> 31 [size =\"7058432\"]\n  30 -> 35 [size =\"7058432\"]\n  30 -> 37 [size =\"7058432\"]\n  31 [size=\"91680768\", alpha=\"0.13\", expect_size=\"45840384\"] \n  31 -> 39 [size =\"45840384\"]\n  31 -> 40 [size =\"45840384\"]\n  31 -> 41 [size =\"45840384\"]\n  32 [size=\"40747008\", alpha=\"0.20\", expect_size=\"20373504\"] \n  32 -> 40 [size =\"20373504\"]\n  32 -> 43 [size =\"20373504\"]\n  33 [size=\"58529792\", alpha=\"0.13\", expect_size=\"29264896\"] \n  33 -> 40 [size =\"29264896\"]\n  33 -> 41 [size =\"29264896\"]\n  33 -> 43 [size =\"29264896\"]\n  34 [size=\"79925248\", alpha=\"0.04\", expect_size=\"39962624\"] \n  35 [size=\"89772032\", alpha=\"0.14\", expect_size=\"44886016\"] \n  35 -> 43 [size =\"44886016\"]\n  36 [size=\"79194112\", alpha=\"0.19\", expect_size=\"39597056\"] \n  36 -> 43 [size =\"39597056\"]\n  37 [size=\"97398784\", alpha=\"0.07\", expect_size=\"48699392\"] \n  37 -> 40 [size =\"48699392\"]\n  37 -> 42 [size =\"48699392\"]\n  38 [size=\"86632448\", alpha=\"0.02\", expect_size=\"43316224\"] \n  38 -> 39 [size =\"43316224\"]\n  38 -> 40 [size =\"43316224\"]\n  38 -> 43 [size =\"43316224\"]\n  39 [size=\"29009920\", alpha=\"0.04\", expect_size=\"14504960\"] \n  39 -> 45 [size =\"14504960\"]\n  40 [size=\"34183168\", alpha=\"0.06\", expect_size=\"17091584\"] \n  40 -> 44 [size =\"17091584\"]\n  41 [size=\"21893120\", alpha=\"0.11\", expect_size=\"10946560\"] \n  42 [size=\"84086784\", alpha=\"0.04\", expect_size=\"42043392\"] \n  42 -> 44 [size =\"42043392\"]\n  43 [size=\"81950720\", alpha=\"0.08\", expect_size=\"40975360\"] \n  43 -> 44 [size =\"40975360\"]\n  44 [size=\"48973824\", alpha=\"0.19\", expect_size=\"24486912\"] \n  45 [size=\"68861952\", alpha=\"0.03\", expect_size=\"34430976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54786560\", alpha=\"0.13\", expect_size=\"21914624\"] \n  1 -> 22 [size =\"21914624\"]\n  2 [size=\"120691200\", alpha=\"0.16\", expect_size=\"48276480\"] \n  2 -> 20 [size =\"48276480\"]\n  3 [size=\"21447680\", alpha=\"0.02\", expect_size=\"8579072\"] \n  3 -> 20 [size =\"8579072\"]\n  3 -> 22 [size =\"8579072\"]\n  4 [size=\"122319360\", alpha=\"0.15\", expect_size=\"48927744\"] \n  4 -> 13 [size =\"48927744\"]\n  4 -> 18 [size =\"48927744\"]\n  4 -> 22 [size =\"48927744\"]\n  4 -> 23 [size =\"48927744\"]\n  5 [size=\"59299840\", alpha=\"0.14\", expect_size=\"23719936\"] \n  5 -> 14 [size =\"23719936\"]\n  5 -> 16 [size =\"23719936\"]\n  5 -> 18 [size =\"23719936\"]\n  5 -> 20 [size =\"23719936\"]\n  5 -> 22 [size =\"23719936\"]\n  6 [size=\"116641280\", alpha=\"0.04\", expect_size=\"46656512\"] \n  6 -> 14 [size =\"46656512\"]\n  6 -> 16 [size =\"46656512\"]\n  6 -> 19 [size =\"46656512\"]\n  6 -> 20 [size =\"46656512\"]\n  6 -> 21 [size =\"46656512\"]\n  6 -> 22 [size =\"46656512\"]\n  7 [size=\"34173440\", alpha=\"0.05\", expect_size=\"13669376\"] \n  7 -> 13 [size =\"13669376\"]\n  7 -> 14 [size =\"13669376\"]\n  7 -> 16 [size =\"13669376\"]\n  7 -> 19 [size =\"13669376\"]\n  7 -> 20 [size =\"13669376\"]\n  8 [size=\"118108160\", alpha=\"0.13\", expect_size=\"47243264\"] \n  8 -> 16 [size =\"47243264\"]\n  8 -> 17 [size =\"47243264\"]\n  8 -> 19 [size =\"47243264\"]\n  8 -> 19 [size =\"47243264\"]\n  9 [size=\"63272960\", alpha=\"0.08\", expect_size=\"25309184\"] \n  9 -> 14 [size =\"25309184\"]\n  9 -> 18 [size =\"25309184\"]\n  9 -> 19 [size =\"25309184\"]\n  10 [size=\"105497600\", alpha=\"0.10\", expect_size=\"42199040\"] \n  10 -> 14 [size =\"42199040\"]\n  10 -> 19 [size =\"42199040\"]\n  10 -> 20 [size =\"42199040\"]\n  11 [size=\"103011840\", alpha=\"0.08\", expect_size=\"41204736\"] \n  11 -> 15 [size =\"41204736\"]\n  11 -> 18 [size =\"41204736\"]\n  11 -> 19 [size =\"41204736\"]\n  11 -> 20 [size =\"41204736\"]\n  11 -> 23 [size =\"41204736\"]\n  12 [size=\"59120640\", alpha=\"0.10\", expect_size=\"23648256\"] \n  12 -> 15 [size =\"23648256\"]\n  12 -> 18 [size =\"23648256\"]\n  12 -> 22 [size =\"23648256\"]\n  13 [size=\"37708800\", alpha=\"0.19\", expect_size=\"15083520\"] \n  13 -> 25 [size =\"15083520\"]\n  13 -> 26 [size =\"15083520\"]\n  13 -> 26 [size =\"15083520\"]\n  13 -> 30 [size =\"15083520\"]\n  14 [size=\"48855040\", alpha=\"0.04\", expect_size=\"19542016\"] \n  14 -> 24 [size =\"19542016\"]\n  14 -> 25 [size =\"19542016\"]\n  14 -> 26 [size =\"19542016\"]\n  14 -> 27 [size =\"19542016\"]\n  14 -> 28 [size =\"19542016\"]\n  14 -> 30 [size =\"19542016\"]\n  14 -> 32 [size =\"19542016\"]\n  14 -> 33 [size =\"19542016\"]\n  15 [size=\"18600960\", alpha=\"0.02\", expect_size=\"7440384\"] \n  15 -> 24 [size =\"7440384\"]\n  15 -> 27 [size =\"7440384\"]\n  15 -> 30 [size =\"7440384\"]\n  15 -> 31 [size =\"7440384\"]\n  15 -> 33 [size =\"7440384\"]\n  16 [size=\"99514880\", alpha=\"0.13\", expect_size=\"39805952\"] \n  16 -> 24 [size =\"39805952\"]\n  16 -> 25 [size =\"39805952\"]\n  16 -> 26 [size =\"39805952\"]\n  16 -> 27 [size =\"39805952\"]\n  16 -> 31 [size =\"39805952\"]\n  16 -> 32 [size =\"39805952\"]\n  17 [size=\"123153920\", alpha=\"0.18\", expect_size=\"49261568\"] \n  17 -> 24 [size =\"49261568\"]\n  17 -> 26 [size =\"49261568\"]\n  17 -> 27 [size =\"49261568\"]\n  17 -> 27 [size =\"49261568\"]\n  17 -> 29 [size =\"49261568\"]\n  17 -> 31 [size =\"49261568\"]\n  17 -> 32 [size =\"49261568\"]\n  18 [size=\"35886080\", alpha=\"0.14\", expect_size=\"14354432\"] \n  18 -> 24 [size =\"14354432\"]\n  18 -> 29 [size =\"14354432\"]\n  18 -> 31 [size =\"14354432\"]\n  19 [size=\"110479360\", alpha=\"0.12\", expect_size=\"44191744\"] \n  19 -> 26 [size =\"44191744\"]\n  19 -> 27 [size =\"44191744\"]\n  19 -> 31 [size =\"44191744\"]\n  20 [size=\"41543680\", alpha=\"0.14\", expect_size=\"16617472\"] \n  20 -> 24 [size =\"16617472\"]\n  20 -> 25 [size =\"16617472\"]\n  20 -> 29 [size =\"16617472\"]\n  20 -> 31 [size =\"16617472\"]\n  20 -> 32 [size =\"16617472\"]\n  21 [size=\"103147520\", alpha=\"0.04\", expect_size=\"41259008\"] \n  21 -> 25 [size =\"41259008\"]\n  21 -> 25 [size =\"41259008\"]\n  21 -> 29 [size =\"41259008\"]\n  21 -> 32 [size =\"41259008\"]\n  22 [size=\"31219200\", alpha=\"0.11\", expect_size=\"12487680\"] \n  22 -> 25 [size =\"12487680\"]\n  22 -> 27 [size =\"12487680\"]\n  22 -> 28 [size =\"12487680\"]\n  22 -> 30 [size =\"12487680\"]\n  23 [size=\"92853760\", alpha=\"0.20\", expect_size=\"37141504\"] \n  23 -> 24 [size =\"37141504\"]\n  23 -> 25 [size =\"37141504\"]\n  23 -> 26 [size =\"37141504\"]\n  23 -> 30 [size =\"37141504\"]\n  23 -> 32 [size =\"37141504\"]\n  24 [size=\"85022720\", alpha=\"0.07\", expect_size=\"34009088\"] \n  24 -> 34 [size =\"34009088\"]\n  24 -> 35 [size =\"34009088\"]\n  24 -> 40 [size =\"34009088\"]\n  25 [size=\"111424000\", alpha=\"0.02\", expect_size=\"44569600\"] \n  25 -> 34 [size =\"44569600\"]\n  25 -> 35 [size =\"44569600\"]\n  25 -> 37 [size =\"44569600\"]\n  25 -> 39 [size =\"44569600\"]\n  25 -> 44 [size =\"44569600\"]\n  26 [size=\"121761280\", alpha=\"0.15\", expect_size=\"48704512\"] \n  26 -> 34 [size =\"48704512\"]\n  26 -> 38 [size =\"48704512\"]\n  26 -> 40 [size =\"48704512\"]\n  26 -> 41 [size =\"48704512\"]\n  26 -> 42 [size =\"48704512\"]\n  26 -> 44 [size =\"48704512\"]\n  27 [size=\"78492160\", alpha=\"0.11\", expect_size=\"31396864\"] \n  27 -> 34 [size =\"31396864\"]\n  27 -> 38 [size =\"31396864\"]\n  27 -> 42 [size =\"31396864\"]\n  28 [size=\"65576960\", alpha=\"0.05\", expect_size=\"26230784\"] \n  28 -> 34 [size =\"26230784\"]\n  28 -> 35 [size =\"26230784\"]\n  28 -> 38 [size =\"26230784\"]\n  28 -> 40 [size =\"26230784\"]\n  28 -> 41 [size =\"26230784\"]\n  28 -> 45 [size =\"26230784\"]\n  29 [size=\"29022720\", alpha=\"0.08\", expect_size=\"11609088\"] \n  29 -> 37 [size =\"11609088\"]\n  29 -> 39 [size =\"11609088\"]\n  29 -> 40 [size =\"11609088\"]\n  29 -> 42 [size =\"11609088\"]\n  29 -> 44 [size =\"11609088\"]\n  29 -> 45 [size =\"11609088\"]\n  30 [size=\"101998080\", alpha=\"0.06\", expect_size=\"40799232\"] \n  30 -> 35 [size =\"40799232\"]\n  30 -> 38 [size =\"40799232\"]\n  30 -> 39 [size =\"40799232\"]\n  30 -> 40 [size =\"40799232\"]\n  30 -> 42 [size =\"40799232\"]\n  31 [size=\"69271040\", alpha=\"0.20\", expect_size=\"27708416\"] \n  31 -> 35 [size =\"27708416\"]\n  31 -> 40 [size =\"27708416\"]\n  31 -> 43 [size =\"27708416\"]\n  32 [size=\"90488320\", alpha=\"0.01\", expect_size=\"36195328\"] \n  32 -> 36 [size =\"36195328\"]\n  32 -> 41 [size =\"36195328\"]\n  32 -> 44 [size =\"36195328\"]\n  33 [size=\"37304320\", alpha=\"0.06\", expect_size=\"14921728\"] \n  33 -> 34 [size =\"14921728\"]\n  33 -> 35 [size =\"14921728\"]\n  33 -> 37 [size =\"14921728\"]\n  33 -> 41 [size =\"14921728\"]\n  33 -> 42 [size =\"14921728\"]\n  34 [size=\"36024320\", alpha=\"0.18\", expect_size=\"14409728\"] \n  35 [size=\"77898240\", alpha=\"0.10\", expect_size=\"31159296\"] \n  36 [size=\"91153920\", alpha=\"0.17\", expect_size=\"36461568\"] \n  37 [size=\"61365760\", alpha=\"0.03\", expect_size=\"24546304\"] \n  38 [size=\"127562240\", alpha=\"0.13\", expect_size=\"51024896\"] \n  39 [size=\"40849920\", alpha=\"0.19\", expect_size=\"16339968\"] \n  40 [size=\"87326720\", alpha=\"0.10\", expect_size=\"34930688\"] \n  41 [size=\"123453440\", alpha=\"0.16\", expect_size=\"49381376\"] \n  42 [size=\"121172480\", alpha=\"0.05\", expect_size=\"48468992\"] \n  43 [size=\"126497280\", alpha=\"0.08\", expect_size=\"50598912\"] \n  44 [size=\"46067200\", alpha=\"0.03\", expect_size=\"18426880\"] \n  45 [size=\"33597440\", alpha=\"0.15\", expect_size=\"13438976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62152704\", alpha=\"0.03\", expect_size=\"31076352\"] \n  2 [size=\"84045824\", alpha=\"0.09\", expect_size=\"42022912\"] \n  3 [size=\"27910144\", alpha=\"0.14\", expect_size=\"13955072\"] \n  3 -> 4 [size =\"13955072\"]\n  3 -> 5 [size =\"13955072\"]\n  3 -> 6 [size =\"13955072\"]\n  4 [size=\"103170048\", alpha=\"0.10\", expect_size=\"51585024\"] \n  4 -> 8 [size =\"51585024\"]\n  5 [size=\"66994176\", alpha=\"0.10\", expect_size=\"33497088\"] \n  5 -> 9 [size =\"33497088\"]\n  6 [size=\"38936576\", alpha=\"0.04\", expect_size=\"19468288\"] \n  6 -> 7 [size =\"19468288\"]\n  6 -> 9 [size =\"19468288\"]\n  7 [size=\"67125248\", alpha=\"0.04\", expect_size=\"33562624\"] \n  7 -> 11 [size =\"33562624\"]\n  8 [size=\"41656320\", alpha=\"0.06\", expect_size=\"20828160\"] \n  9 [size=\"15165440\", alpha=\"0.06\", expect_size=\"7582720\"] \n  9 -> 10 [size =\"7582720\"]\n  10 [size=\"39204864\", alpha=\"0.00\", expect_size=\"19602432\"] \n  10 -> 12 [size =\"19602432\"]\n  10 -> 13 [size =\"19602432\"]\n  10 -> 14 [size =\"19602432\"]\n  11 [size=\"74125312\", alpha=\"0.14\", expect_size=\"37062656\"] \n  12 [size=\"89559040\", alpha=\"0.15\", expect_size=\"44779520\"] \n  13 [size=\"39303168\", alpha=\"0.11\", expect_size=\"19651584\"] \n  13 -> 15 [size =\"19651584\"]\n  14 [size=\"103544832\", alpha=\"0.02\", expect_size=\"51772416\"] \n  14 -> 15 [size =\"51772416\"]\n  14 -> 16 [size =\"51772416\"]\n  15 [size=\"57307136\", alpha=\"0.05\", expect_size=\"28653568\"] \n  16 [size=\"104722432\", alpha=\"0.10\", expect_size=\"52361216\"] \n  16 -> 17 [size =\"52361216\"]\n  16 -> 18 [size =\"52361216\"]\n  16 -> 19 [size =\"52361216\"]\n  17 [size=\"30425088\", alpha=\"0.11\", expect_size=\"15212544\"] \n  17 -> 21 [size =\"15212544\"]\n  17 -> 22 [size =\"15212544\"]\n  18 [size=\"49438720\", alpha=\"0.02\", expect_size=\"24719360\"] \n  18 -> 20 [size =\"24719360\"]\n  18 -> 21 [size =\"24719360\"]\n  19 [size=\"75403264\", alpha=\"0.01\", expect_size=\"37701632\"] \n  20 [size=\"102334464\", alpha=\"0.12\", expect_size=\"51167232\"] \n  20 -> 23 [size =\"51167232\"]\n  20 -> 25 [size =\"51167232\"]\n  21 [size=\"103964672\", alpha=\"0.14\", expect_size=\"51982336\"] \n  21 -> 24 [size =\"51982336\"]\n  22 [size=\"74831872\", alpha=\"0.12\", expect_size=\"37415936\"] \n  22 -> 23 [size =\"37415936\"]\n  23 [size=\"50558976\", alpha=\"0.14\", expect_size=\"25279488\"] \n  24 [size=\"102701056\", alpha=\"0.15\", expect_size=\"51350528\"] \n  24 -> 27 [size =\"51350528\"]\n  25 [size=\"19302400\", alpha=\"0.08\", expect_size=\"9651200\"] \n  25 -> 26 [size =\"9651200\"]\n  26 [size=\"42493952\", alpha=\"0.08\", expect_size=\"21246976\"] \n  26 -> 29 [size =\"21246976\"]\n  27 [size=\"88135680\", alpha=\"0.19\", expect_size=\"44067840\"] \n  27 -> 28 [size =\"44067840\"]\n  28 [size=\"46503936\", alpha=\"0.17\", expect_size=\"23251968\"] \n  28 -> 30 [size =\"23251968\"]\n  29 [size=\"56588288\", alpha=\"0.16\", expect_size=\"28294144\"] \n  29 -> 31 [size =\"28294144\"]\n  29 -> 32 [size =\"28294144\"]\n  30 [size=\"59815936\", alpha=\"0.01\", expect_size=\"29907968\"] \n  31 [size=\"22376448\", alpha=\"0.19\", expect_size=\"11188224\"] \n  32 [size=\"90308608\", alpha=\"0.14\", expect_size=\"45154304\"] \n  32 -> 33 [size =\"45154304\"]\n  32 -> 34 [size =\"45154304\"]\n  33 [size=\"54056960\", alpha=\"0.16\", expect_size=\"27028480\"] \n  34 [size=\"25421824\", alpha=\"0.17\", expect_size=\"12710912\"] \n  34 -> 35 [size =\"12710912\"]\n  34 -> 36 [size =\"12710912\"]\n  35 [size=\"97087488\", alpha=\"0.08\", expect_size=\"48543744\"] \n  35 -> 38 [size =\"48543744\"]\n  36 [size=\"42446848\", alpha=\"0.18\", expect_size=\"21223424\"] \n  36 -> 37 [size =\"21223424\"]\n  37 [size=\"78698496\", alpha=\"0.14\", expect_size=\"39349248\"] \n  37 -> 39 [size =\"39349248\"]\n  37 -> 40 [size =\"39349248\"]\n  38 [size=\"73736192\", alpha=\"0.17\", expect_size=\"36868096\"] \n  38 -> 41 [size =\"36868096\"]\n  39 [size=\"58730496\", alpha=\"0.14\", expect_size=\"29365248\"] \n  39 -> 43 [size =\"29365248\"]\n  39 -> 44 [size =\"29365248\"]\n  40 [size=\"38365184\", alpha=\"0.11\", expect_size=\"19182592\"] \n  40 -> 42 [size =\"19182592\"]\n  41 [size=\"41357312\", alpha=\"0.07\", expect_size=\"20678656\"] \n  41 -> 43 [size =\"20678656\"]\n  42 [size=\"36976640\", alpha=\"0.17\", expect_size=\"18488320\"] \n  42 -> 45 [size =\"18488320\"]\n  43 [size=\"104294400\", alpha=\"0.16\", expect_size=\"52147200\"] \n  44 [size=\"83388416\", alpha=\"0.14\", expect_size=\"41694208\"] \n  45 [size=\"67315712\", alpha=\"0.14\", expect_size=\"33657856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67703467\", alpha=\"0.02\", expect_size=\"20311040\"] \n  1 -> 35 [size =\"20311040\"]\n  1 -> 39 [size =\"20311040\"]\n  1 -> 44 [size =\"20311040\"]\n  2 [size=\"57425920\", alpha=\"0.12\", expect_size=\"17227776\"] \n  2 -> 34 [size =\"17227776\"]\n  2 -> 35 [size =\"17227776\"]\n  2 -> 37 [size =\"17227776\"]\n  2 -> 43 [size =\"17227776\"]\n  3 [size=\"152337067\", alpha=\"0.12\", expect_size=\"45701120\"] \n  3 -> 32 [size =\"45701120\"]\n  3 -> 35 [size =\"45701120\"]\n  3 -> 41 [size =\"45701120\"]\n  3 -> 44 [size =\"45701120\"]\n  3 -> 45 [size =\"45701120\"]\n  4 [size=\"27330560\", alpha=\"0.03\", expect_size=\"8199168\"] \n  4 -> 39 [size =\"8199168\"]\n  4 -> 44 [size =\"8199168\"]\n  5 [size=\"58579627\", alpha=\"0.02\", expect_size=\"17573888\"] \n  5 -> 32 [size =\"17573888\"]\n  5 -> 33 [size =\"17573888\"]\n  5 -> 34 [size =\"17573888\"]\n  5 -> 36 [size =\"17573888\"]\n  5 -> 38 [size =\"17573888\"]\n  5 -> 39 [size =\"17573888\"]\n  5 -> 43 [size =\"17573888\"]\n  5 -> 44 [size =\"17573888\"]\n  6 [size=\"84565333\", alpha=\"0.11\", expect_size=\"25369600\"] \n  6 -> 35 [size =\"25369600\"]\n  6 -> 36 [size =\"25369600\"]\n  6 -> 39 [size =\"25369600\"]\n  6 -> 44 [size =\"25369600\"]\n  6 -> 45 [size =\"25369600\"]\n  7 [size=\"71215787\", alpha=\"0.20\", expect_size=\"21364736\"] \n  7 -> 32 [size =\"21364736\"]\n  7 -> 35 [size =\"21364736\"]\n  7 -> 39 [size =\"21364736\"]\n  7 -> 42 [size =\"21364736\"]\n  7 -> 45 [size =\"21364736\"]\n  8 [size=\"56736427\", alpha=\"0.16\", expect_size=\"17020928\"] \n  8 -> 35 [size =\"17020928\"]\n  8 -> 39 [size =\"17020928\"]\n  9 [size=\"119367680\", alpha=\"0.06\", expect_size=\"35810304\"] \n  9 -> 32 [size =\"35810304\"]\n  9 -> 33 [size =\"35810304\"]\n  9 -> 35 [size =\"35810304\"]\n  9 -> 36 [size =\"35810304\"]\n  9 -> 43 [size =\"35810304\"]\n  9 -> 45 [size =\"35810304\"]\n  10 [size=\"48052907\", alpha=\"0.02\", expect_size=\"14415872\"] \n  10 -> 32 [size =\"14415872\"]\n  10 -> 34 [size =\"14415872\"]\n  10 -> 43 [size =\"14415872\"]\n  11 [size=\"21207040\", alpha=\"0.17\", expect_size=\"6362112\"] \n  11 -> 32 [size =\"6362112\"]\n  11 -> 33 [size =\"6362112\"]\n  11 -> 34 [size =\"6362112\"]\n  11 -> 35 [size =\"6362112\"]\n  11 -> 40 [size =\"6362112\"]\n  11 -> 45 [size =\"6362112\"]\n  12 [size=\"35549867\", alpha=\"0.08\", expect_size=\"10664960\"] \n  12 -> 32 [size =\"10664960\"]\n  12 -> 37 [size =\"10664960\"]\n  12 -> 39 [size =\"10664960\"]\n  12 -> 40 [size =\"10664960\"]\n  12 -> 44 [size =\"10664960\"]\n  13 [size=\"128979627\", alpha=\"0.12\", expect_size=\"38693888\"] \n  13 -> 32 [size =\"38693888\"]\n  13 -> 36 [size =\"38693888\"]\n  14 [size=\"67744427\", alpha=\"0.16\", expect_size=\"20323328\"] \n  14 -> 32 [size =\"20323328\"]\n  14 -> 35 [size =\"20323328\"]\n  14 -> 40 [size =\"20323328\"]\n  14 -> 43 [size =\"20323328\"]\n  14 -> 45 [size =\"20323328\"]\n  15 [size=\"89009493\", alpha=\"0.17\", expect_size=\"26702848\"] \n  15 -> 32 [size =\"26702848\"]\n  15 -> 33 [size =\"26702848\"]\n  15 -> 44 [size =\"26702848\"]\n  15 -> 45 [size =\"26702848\"]\n  16 [size=\"107977387\", alpha=\"0.17\", expect_size=\"32393216\"] \n  16 -> 32 [size =\"32393216\"]\n  16 -> 34 [size =\"32393216\"]\n  16 -> 35 [size =\"32393216\"]\n  16 -> 37 [size =\"32393216\"]\n  16 -> 44 [size =\"32393216\"]\n  16 -> 45 [size =\"32393216\"]\n  17 [size=\"33723733\", alpha=\"0.15\", expect_size=\"10117120\"] \n  17 -> 33 [size =\"10117120\"]\n  17 -> 34 [size =\"10117120\"]\n  17 -> 35 [size =\"10117120\"]\n  17 -> 39 [size =\"10117120\"]\n  17 -> 40 [size =\"10117120\"]\n  18 [size=\"32631467\", alpha=\"0.09\", expect_size=\"9789440\"] \n  18 -> 33 [size =\"9789440\"]\n  18 -> 35 [size =\"9789440\"]\n  19 [size=\"160187733\", alpha=\"0.17\", expect_size=\"48056320\"] \n  19 -> 33 [size =\"48056320\"]\n  19 -> 35 [size =\"48056320\"]\n  19 -> 36 [size =\"48056320\"]\n  19 -> 38 [size =\"48056320\"]\n  19 -> 39 [size =\"48056320\"]\n  19 -> 40 [size =\"48056320\"]\n  19 -> 44 [size =\"48056320\"]\n  19 -> 45 [size =\"48056320\"]\n  20 [size=\"50012160\", alpha=\"0.15\", expect_size=\"15003648\"] \n  20 -> 35 [size =\"15003648\"]\n  20 -> 35 [size =\"15003648\"]\n  20 -> 40 [size =\"15003648\"]\n  20 -> 45 [size =\"15003648\"]\n  21 [size=\"64395947\", alpha=\"0.19\", expect_size=\"19318784\"] \n  21 -> 35 [size =\"19318784\"]\n  21 -> 39 [size =\"19318784\"]\n  21 -> 40 [size =\"19318784\"]\n  21 -> 44 [size =\"19318784\"]\n  21 -> 45 [size =\"19318784\"]\n  22 [size=\"41035093\", alpha=\"0.08\", expect_size=\"12310528\"] \n  22 -> 32 [size =\"12310528\"]\n  22 -> 35 [size =\"12310528\"]\n  22 -> 36 [size =\"12310528\"]\n  22 -> 43 [size =\"12310528\"]\n  22 -> 44 [size =\"12310528\"]\n  22 -> 45 [size =\"12310528\"]\n  23 [size=\"107776000\", alpha=\"0.15\", expect_size=\"32332800\"] \n  23 -> 32 [size =\"32332800\"]\n  23 -> 45 [size =\"32332800\"]\n  24 [size=\"42134187\", alpha=\"0.02\", expect_size=\"12640256\"] \n  24 -> 35 [size =\"12640256\"]\n  24 -> 39 [size =\"12640256\"]\n  24 -> 44 [size =\"12640256\"]\n  24 -> 45 [size =\"12640256\"]\n  25 [size=\"165440853\", alpha=\"0.15\", expect_size=\"49632256\"] \n  25 -> 32 [size =\"49632256\"]\n  25 -> 35 [size =\"49632256\"]\n  25 -> 36 [size =\"49632256\"]\n  25 -> 39 [size =\"49632256\"]\n  25 -> 44 [size =\"49632256\"]\n  26 [size=\"144698027\", alpha=\"0.17\", expect_size=\"43409408\"] \n  26 -> 33 [size =\"43409408\"]\n  26 -> 39 [size =\"43409408\"]\n  26 -> 45 [size =\"43409408\"]\n  27 [size=\"117944320\", alpha=\"0.05\", expect_size=\"35383296\"] \n  27 -> 33 [size =\"35383296\"]\n  27 -> 39 [size =\"35383296\"]\n  27 -> 40 [size =\"35383296\"]\n  27 -> 44 [size =\"35383296\"]\n  27 -> 45 [size =\"35383296\"]\n  28 [size=\"78824107\", alpha=\"0.18\", expect_size=\"23647232\"] \n  28 -> 35 [size =\"23647232\"]\n  28 -> 39 [size =\"23647232\"]\n  29 [size=\"147275093\", alpha=\"0.04\", expect_size=\"44182528\"] \n  29 -> 32 [size =\"44182528\"]\n  29 -> 33 [size =\"44182528\"]\n  29 -> 39 [size =\"44182528\"]\n  29 -> 44 [size =\"44182528\"]\n  30 [size=\"124689067\", alpha=\"0.14\", expect_size=\"37406720\"] \n  30 -> 39 [size =\"37406720\"]\n  30 -> 43 [size =\"37406720\"]\n  30 -> 44 [size =\"37406720\"]\n  31 [size=\"84565333\", alpha=\"0.05\", expect_size=\"25369600\"] \n  31 -> 34 [size =\"25369600\"]\n  31 -> 39 [size =\"25369600\"]\n  31 -> 43 [size =\"25369600\"]\n  31 -> 44 [size =\"25369600\"]\n  32 [size=\"77127680\", alpha=\"0.18\", expect_size=\"23138304\"] \n  33 [size=\"142329173\", alpha=\"0.05\", expect_size=\"42698752\"] \n  34 [size=\"100457813\", alpha=\"0.18\", expect_size=\"30137344\"] \n  35 [size=\"118654293\", alpha=\"0.01\", expect_size=\"35596288\"] \n  36 [size=\"80738987\", alpha=\"0.15\", expect_size=\"24221696\"] \n  37 [size=\"53804373\", alpha=\"0.11\", expect_size=\"16141312\"] \n  38 [size=\"91586560\", alpha=\"0.09\", expect_size=\"27475968\"] \n  39 [size=\"76066133\", alpha=\"0.05\", expect_size=\"22819840\"] \n  40 [size=\"109131093\", alpha=\"0.05\", expect_size=\"32739328\"] \n  41 [size=\"64075093\", alpha=\"0.11\", expect_size=\"19222528\"] \n  42 [size=\"101918720\", alpha=\"0.01\", expect_size=\"30575616\"] \n  43 [size=\"83449173\", alpha=\"0.01\", expect_size=\"25034752\"] \n  44 [size=\"120169813\", alpha=\"0.05\", expect_size=\"36050944\"] \n  45 [size=\"105069227\", alpha=\"0.08\", expect_size=\"31520768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167311360\", alpha=\"0.16\", expect_size=\"50193408\"] \n  1 -> 13 [size =\"50193408\"]\n  1 -> 17 [size =\"50193408\"]\n  1 -> 22 [size =\"50193408\"]\n  1 -> 23 [size =\"50193408\"]\n  2 [size=\"123825493\", alpha=\"0.06\", expect_size=\"37147648\"] \n  2 -> 14 [size =\"37147648\"]\n  2 -> 23 [size =\"37147648\"]\n  2 -> 26 [size =\"37147648\"]\n  3 [size=\"115008853\", alpha=\"0.20\", expect_size=\"34502656\"] \n  3 -> 13 [size =\"34502656\"]\n  3 -> 14 [size =\"34502656\"]\n  3 -> 16 [size =\"34502656\"]\n  3 -> 21 [size =\"34502656\"]\n  3 -> 22 [size =\"34502656\"]\n  3 -> 23 [size =\"34502656\"]\n  3 -> 25 [size =\"34502656\"]\n  3 -> 26 [size =\"34502656\"]\n  4 [size=\"131877547\", alpha=\"0.20\", expect_size=\"39563264\"] \n  4 -> 17 [size =\"39563264\"]\n  4 -> 22 [size =\"39563264\"]\n  4 -> 23 [size =\"39563264\"]\n  5 [size=\"91415893\", alpha=\"0.07\", expect_size=\"27424768\"] \n  5 -> 16 [size =\"27424768\"]\n  5 -> 26 [size =\"27424768\"]\n  6 [size=\"70181547\", alpha=\"0.00\", expect_size=\"21054464\"] \n  6 -> 14 [size =\"21054464\"]\n  6 -> 16 [size =\"21054464\"]\n  6 -> 20 [size =\"21054464\"]\n  6 -> 26 [size =\"21054464\"]\n  7 [size=\"155706027\", alpha=\"0.02\", expect_size=\"46711808\"] \n  7 -> 23 [size =\"46711808\"]\n  8 [size=\"134754987\", alpha=\"0.16\", expect_size=\"40426496\"] \n  8 -> 15 [size =\"40426496\"]\n  8 -> 17 [size =\"40426496\"]\n  8 -> 23 [size =\"40426496\"]\n  8 -> 25 [size =\"40426496\"]\n  9 [size=\"167789227\", alpha=\"0.12\", expect_size=\"50336768\"] \n  9 -> 16 [size =\"50336768\"]\n  9 -> 17 [size =\"50336768\"]\n  9 -> 18 [size =\"50336768\"]\n  9 -> 21 [size =\"50336768\"]\n  9 -> 22 [size =\"50336768\"]\n  9 -> 24 [size =\"50336768\"]\n  9 -> 26 [size =\"50336768\"]\n  10 [size=\"168209067\", alpha=\"0.10\", expect_size=\"50462720\"] \n  10 -> 16 [size =\"50462720\"]\n  10 -> 17 [size =\"50462720\"]\n  10 -> 19 [size =\"50462720\"]\n  11 [size=\"151367680\", alpha=\"0.14\", expect_size=\"45410304\"] \n  11 -> 13 [size =\"45410304\"]\n  11 -> 15 [size =\"45410304\"]\n  11 -> 17 [size =\"45410304\"]\n  11 -> 23 [size =\"45410304\"]\n  11 -> 25 [size =\"45410304\"]\n  11 -> 26 [size =\"45410304\"]\n  12 [size=\"117729280\", alpha=\"0.03\", expect_size=\"35318784\"] \n  12 -> 13 [size =\"35318784\"]\n  12 -> 15 [size =\"35318784\"]\n  12 -> 16 [size =\"35318784\"]\n  12 -> 17 [size =\"35318784\"]\n  12 -> 19 [size =\"35318784\"]\n  12 -> 21 [size =\"35318784\"]\n  12 -> 23 [size =\"35318784\"]\n  12 -> 25 [size =\"35318784\"]\n  12 -> 26 [size =\"35318784\"]\n  13 [size=\"167608320\", alpha=\"0.10\", expect_size=\"50282496\"] \n  13 -> 28 [size =\"50282496\"]\n  13 -> 31 [size =\"50282496\"]\n  13 -> 32 [size =\"50282496\"]\n  13 -> 33 [size =\"50282496\"]\n  13 -> 37 [size =\"50282496\"]\n  13 -> 41 [size =\"50282496\"]\n  14 [size=\"166229333\", alpha=\"0.05\", expect_size=\"49868800\"] \n  14 -> 28 [size =\"49868800\"]\n  14 -> 30 [size =\"49868800\"]\n  14 -> 33 [size =\"49868800\"]\n  14 -> 36 [size =\"49868800\"]\n  14 -> 40 [size =\"49868800\"]\n  14 -> 41 [size =\"49868800\"]\n  15 [size=\"164386133\", alpha=\"0.14\", expect_size=\"49315840\"] \n  15 -> 28 [size =\"49315840\"]\n  15 -> 29 [size =\"49315840\"]\n  15 -> 39 [size =\"49315840\"]\n  15 -> 40 [size =\"49315840\"]\n  16 [size=\"59023360\", alpha=\"0.13\", expect_size=\"17707008\"] \n  16 -> 29 [size =\"17707008\"]\n  16 -> 30 [size =\"17707008\"]\n  16 -> 31 [size =\"17707008\"]\n  16 -> 33 [size =\"17707008\"]\n  16 -> 34 [size =\"17707008\"]\n  16 -> 39 [size =\"17707008\"]\n  17 [size=\"60330667\", alpha=\"0.03\", expect_size=\"18099200\"] \n  17 -> 27 [size =\"18099200\"]\n  17 -> 28 [size =\"18099200\"]\n  17 -> 31 [size =\"18099200\"]\n  17 -> 33 [size =\"18099200\"]\n  17 -> 39 [size =\"18099200\"]\n  18 [size=\"78810453\", alpha=\"0.03\", expect_size=\"23643136\"] \n  18 -> 31 [size =\"23643136\"]\n  18 -> 36 [size =\"23643136\"]\n  19 [size=\"44472320\", alpha=\"0.19\", expect_size=\"13341696\"] \n  19 -> 28 [size =\"13341696\"]\n  19 -> 32 [size =\"13341696\"]\n  19 -> 33 [size =\"13341696\"]\n  19 -> 38 [size =\"13341696\"]\n  19 -> 40 [size =\"13341696\"]\n  20 [size=\"136362667\", alpha=\"0.08\", expect_size=\"40908800\"] \n  20 -> 29 [size =\"40908800\"]\n  20 -> 31 [size =\"40908800\"]\n  20 -> 33 [size =\"40908800\"]\n  20 -> 35 [size =\"40908800\"]\n  20 -> 38 [size =\"40908800\"]\n  21 [size=\"58026667\", alpha=\"0.16\", expect_size=\"17408000\"] \n  21 -> 29 [size =\"17408000\"]\n  21 -> 30 [size =\"17408000\"]\n  21 -> 33 [size =\"17408000\"]\n  22 [size=\"166475093\", alpha=\"0.17\", expect_size=\"49942528\"] \n  22 -> 33 [size =\"49942528\"]\n  22 -> 34 [size =\"49942528\"]\n  23 [size=\"32525653\", alpha=\"0.11\", expect_size=\"9757696\"] \n  23 -> 29 [size =\"9757696\"]\n  23 -> 34 [size =\"9757696\"]\n  23 -> 38 [size =\"9757696\"]\n  23 -> 39 [size =\"9757696\"]\n  23 -> 40 [size =\"9757696\"]\n  24 [size=\"114875733\", alpha=\"0.20\", expect_size=\"34462720\"] \n  24 -> 34 [size =\"34462720\"]\n  24 -> 38 [size =\"34462720\"]\n  24 -> 39 [size =\"34462720\"]\n  25 [size=\"154975573\", alpha=\"0.17\", expect_size=\"46492672\"] \n  25 -> 27 [size =\"46492672\"]\n  25 -> 28 [size =\"46492672\"]\n  25 -> 29 [size =\"46492672\"]\n  25 -> 30 [size =\"46492672\"]\n  25 -> 33 [size =\"46492672\"]\n  25 -> 34 [size =\"46492672\"]\n  25 -> 38 [size =\"46492672\"]\n  25 -> 40 [size =\"46492672\"]\n  26 [size=\"106922667\", alpha=\"0.02\", expect_size=\"32076800\"] \n  26 -> 28 [size =\"32076800\"]\n  26 -> 30 [size =\"32076800\"]\n  26 -> 31 [size =\"32076800\"]\n  26 -> 36 [size =\"32076800\"]\n  26 -> 40 [size =\"32076800\"]\n  27 [size=\"53858987\", alpha=\"0.04\", expect_size=\"16157696\"] \n  27 -> 42 [size =\"16157696\"]\n  27 -> 44 [size =\"16157696\"]\n  27 -> 44 [size =\"16157696\"]\n  28 [size=\"74769067\", alpha=\"0.01\", expect_size=\"22430720\"] \n  28 -> 42 [size =\"22430720\"]\n  28 -> 44 [size =\"22430720\"]\n  29 [size=\"102270293\", alpha=\"0.17\", expect_size=\"30681088\"] \n  29 -> 42 [size =\"30681088\"]\n  29 -> 43 [size =\"30681088\"]\n  30 [size=\"97064960\", alpha=\"0.12\", expect_size=\"29119488\"] \n  30 -> 42 [size =\"29119488\"]\n  30 -> 43 [size =\"29119488\"]\n  31 [size=\"161375573\", alpha=\"0.04\", expect_size=\"48412672\"] \n  32 [size=\"130471253\", alpha=\"0.09\", expect_size=\"39141376\"] \n  32 -> 43 [size =\"39141376\"]\n  33 [size=\"110701227\", alpha=\"0.14\", expect_size=\"33210368\"] \n  33 -> 43 [size =\"33210368\"]\n  34 [size=\"42311680\", alpha=\"0.17\", expect_size=\"12693504\"] \n  34 -> 43 [size =\"12693504\"]\n  34 -> 44 [size =\"12693504\"]\n  35 [size=\"39703893\", alpha=\"0.18\", expect_size=\"11911168\"] \n  35 -> 44 [size =\"11911168\"]\n  35 -> 45 [size =\"11911168\"]\n  36 [size=\"19534507\", alpha=\"0.05\", expect_size=\"5860352\"] \n  36 -> 42 [size =\"5860352\"]\n  37 [size=\"34512213\", alpha=\"0.18\", expect_size=\"10353664\"] \n  37 -> 42 [size =\"10353664\"]\n  38 [size=\"65573547\", alpha=\"0.18\", expect_size=\"19672064\"] \n  38 -> 42 [size =\"19672064\"]\n  39 [size=\"72717653\", alpha=\"0.02\", expect_size=\"21815296\"] \n  40 [size=\"48974507\", alpha=\"0.00\", expect_size=\"14692352\"] \n  40 -> 44 [size =\"14692352\"]\n  41 [size=\"145073493\", alpha=\"0.04\", expect_size=\"43522048\"] \n  41 -> 42 [size =\"43522048\"]\n  41 -> 43 [size =\"43522048\"]\n  41 -> 44 [size =\"43522048\"]\n  42 [size=\"23053653\", alpha=\"0.07\", expect_size=\"6916096\"] \n  43 [size=\"97733973\", alpha=\"0.12\", expect_size=\"29320192\"] \n  44 [size=\"47394133\", alpha=\"0.09\", expect_size=\"14218240\"] \n  45 [size=\"20787200\", alpha=\"0.04\", expect_size=\"6236160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68072107\", alpha=\"0.10\", expect_size=\"20421632\"] \n  1 -> 19 [size =\"20421632\"]\n  1 -> 20 [size =\"20421632\"]\n  1 -> 24 [size =\"20421632\"]\n  1 -> 34 [size =\"20421632\"]\n  1 -> 36 [size =\"20421632\"]\n  1 -> 36 [size =\"20421632\"]\n  2 [size=\"138236587\", alpha=\"0.20\", expect_size=\"41470976\"] \n  2 -> 21 [size =\"41470976\"]\n  2 -> 22 [size =\"41470976\"]\n  2 -> 24 [size =\"41470976\"]\n  2 -> 25 [size =\"41470976\"]\n  2 -> 26 [size =\"41470976\"]\n  2 -> 27 [size =\"41470976\"]\n  2 -> 35 [size =\"41470976\"]\n  3 [size=\"118357333\", alpha=\"0.06\", expect_size=\"35507200\"] \n  3 -> 18 [size =\"35507200\"]\n  3 -> 22 [size =\"35507200\"]\n  3 -> 23 [size =\"35507200\"]\n  3 -> 24 [size =\"35507200\"]\n  3 -> 26 [size =\"35507200\"]\n  3 -> 27 [size =\"35507200\"]\n  3 -> 31 [size =\"35507200\"]\n  3 -> 32 [size =\"35507200\"]\n  3 -> 34 [size =\"35507200\"]\n  3 -> 35 [size =\"35507200\"]\n  4 [size=\"148688213\", alpha=\"0.18\", expect_size=\"44606464\"] \n  4 -> 18 [size =\"44606464\"]\n  4 -> 20 [size =\"44606464\"]\n  4 -> 24 [size =\"44606464\"]\n  4 -> 33 [size =\"44606464\"]\n  4 -> 34 [size =\"44606464\"]\n  4 -> 36 [size =\"44606464\"]\n  4 -> 37 [size =\"44606464\"]\n  5 [size=\"149261653\", alpha=\"0.14\", expect_size=\"44778496\"] \n  5 -> 18 [size =\"44778496\"]\n  5 -> 20 [size =\"44778496\"]\n  5 -> 21 [size =\"44778496\"]\n  5 -> 27 [size =\"44778496\"]\n  5 -> 36 [size =\"44778496\"]\n  6 [size=\"122057387\", alpha=\"0.02\", expect_size=\"36617216\"] \n  6 -> 18 [size =\"36617216\"]\n  6 -> 19 [size =\"36617216\"]\n  6 -> 22 [size =\"36617216\"]\n  6 -> 27 [size =\"36617216\"]\n  6 -> 30 [size =\"36617216\"]\n  6 -> 33 [size =\"36617216\"]\n  6 -> 35 [size =\"36617216\"]\n  6 -> 36 [size =\"36617216\"]\n  7 [size=\"63481173\", alpha=\"0.02\", expect_size=\"19044352\"] \n  7 -> 20 [size =\"19044352\"]\n  7 -> 23 [size =\"19044352\"]\n  7 -> 24 [size =\"19044352\"]\n  7 -> 26 [size =\"19044352\"]\n  7 -> 32 [size =\"19044352\"]\n  7 -> 33 [size =\"19044352\"]\n  8 [size=\"51227307\", alpha=\"0.14\", expect_size=\"15368192\"] \n  8 -> 18 [size =\"15368192\"]\n  8 -> 24 [size =\"15368192\"]\n  8 -> 26 [size =\"15368192\"]\n  8 -> 32 [size =\"15368192\"]\n  8 -> 34 [size =\"15368192\"]\n  9 [size=\"41659733\", alpha=\"0.06\", expect_size=\"12497920\"] \n  9 -> 24 [size =\"12497920\"]\n  9 -> 32 [size =\"12497920\"]\n  9 -> 34 [size =\"12497920\"]\n  9 -> 36 [size =\"12497920\"]\n  10 [size=\"155306667\", alpha=\"0.07\", expect_size=\"46592000\"] \n  10 -> 19 [size =\"46592000\"]\n  10 -> 20 [size =\"46592000\"]\n  10 -> 26 [size =\"46592000\"]\n  10 -> 32 [size =\"46592000\"]\n  10 -> 33 [size =\"46592000\"]\n  10 -> 34 [size =\"46592000\"]\n  10 -> 36 [size =\"46592000\"]\n  11 [size=\"161088853\", alpha=\"0.10\", expect_size=\"48326656\"] \n  11 -> 19 [size =\"48326656\"]\n  11 -> 21 [size =\"48326656\"]\n  11 -> 23 [size =\"48326656\"]\n  11 -> 25 [size =\"48326656\"]\n  11 -> 30 [size =\"48326656\"]\n  11 -> 32 [size =\"48326656\"]\n  11 -> 33 [size =\"48326656\"]\n  11 -> 34 [size =\"48326656\"]\n  11 -> 36 [size =\"48326656\"]\n  12 [size=\"84387840\", alpha=\"0.01\", expect_size=\"25316352\"] \n  12 -> 19 [size =\"25316352\"]\n  12 -> 20 [size =\"25316352\"]\n  12 -> 22 [size =\"25316352\"]\n  12 -> 32 [size =\"25316352\"]\n  12 -> 33 [size =\"25316352\"]\n  13 [size=\"83005440\", alpha=\"0.05\", expect_size=\"24901632\"] \n  13 -> 19 [size =\"24901632\"]\n  13 -> 21 [size =\"24901632\"]\n  13 -> 24 [size =\"24901632\"]\n  13 -> 34 [size =\"24901632\"]\n  13 -> 35 [size =\"24901632\"]\n  13 -> 36 [size =\"24901632\"]\n  14 [size=\"130061653\", alpha=\"0.19\", expect_size=\"39018496\"] \n  14 -> 19 [size =\"39018496\"]\n  14 -> 20 [size =\"39018496\"]\n  14 -> 24 [size =\"39018496\"]\n  14 -> 26 [size =\"39018496\"]\n  14 -> 28 [size =\"39018496\"]\n  14 -> 29 [size =\"39018496\"]\n  14 -> 30 [size =\"39018496\"]\n  14 -> 31 [size =\"39018496\"]\n  15 [size=\"116445867\", alpha=\"0.18\", expect_size=\"34933760\"] \n  15 -> 19 [size =\"34933760\"]\n  15 -> 20 [size =\"34933760\"]\n  15 -> 25 [size =\"34933760\"]\n  15 -> 26 [size =\"34933760\"]\n  15 -> 27 [size =\"34933760\"]\n  15 -> 31 [size =\"34933760\"]\n  15 -> 32 [size =\"34933760\"]\n  15 -> 34 [size =\"34933760\"]\n  15 -> 37 [size =\"34933760\"]\n  16 [size=\"72891733\", alpha=\"0.11\", expect_size=\"21867520\"] \n  16 -> 18 [size =\"21867520\"]\n  16 -> 19 [size =\"21867520\"]\n  16 -> 20 [size =\"21867520\"]\n  16 -> 21 [size =\"21867520\"]\n  16 -> 22 [size =\"21867520\"]\n  16 -> 23 [size =\"21867520\"]\n  16 -> 30 [size =\"21867520\"]\n  16 -> 32 [size =\"21867520\"]\n  17 [size=\"92371627\", alpha=\"0.05\", expect_size=\"27711488\"] \n  17 -> 19 [size =\"27711488\"]\n  17 -> 20 [size =\"27711488\"]\n  17 -> 27 [size =\"27711488\"]\n  17 -> 34 [size =\"27711488\"]\n  17 -> 35 [size =\"27711488\"]\n  17 -> 36 [size =\"27711488\"]\n  18 [size=\"105622187\", alpha=\"0.14\", expect_size=\"31686656\"] \n  18 -> 39 [size =\"31686656\"]\n  19 [size=\"55381333\", alpha=\"0.02\", expect_size=\"16614400\"] \n  19 -> 39 [size =\"16614400\"]\n  19 -> 41 [size =\"16614400\"]\n  19 -> 42 [size =\"16614400\"]\n  20 [size=\"106393600\", alpha=\"0.10\", expect_size=\"31918080\"] \n  20 -> 38 [size =\"31918080\"]\n  20 -> 42 [size =\"31918080\"]\n  20 -> 44 [size =\"31918080\"]\n  21 [size=\"161017173\", alpha=\"0.05\", expect_size=\"48305152\"] \n  21 -> 42 [size =\"48305152\"]\n  21 -> 44 [size =\"48305152\"]\n  22 [size=\"78626133\", alpha=\"0.14\", expect_size=\"23587840\"] \n  22 -> 41 [size =\"23587840\"]\n  22 -> 42 [size =\"23587840\"]\n  23 [size=\"85773653\", alpha=\"0.17\", expect_size=\"25732096\"] \n  23 -> 38 [size =\"25732096\"]\n  23 -> 39 [size =\"25732096\"]\n  23 -> 41 [size =\"25732096\"]\n  24 [size=\"124095147\", alpha=\"0.16\", expect_size=\"37228544\"] \n  24 -> 39 [size =\"37228544\"]\n  25 [size=\"117350400\", alpha=\"0.12\", expect_size=\"35205120\"] \n  25 -> 38 [size =\"35205120\"]\n  25 -> 39 [size =\"35205120\"]\n  25 -> 41 [size =\"35205120\"]\n  25 -> 42 [size =\"35205120\"]\n  26 [size=\"105376427\", alpha=\"0.01\", expect_size=\"31612928\"] \n  26 -> 39 [size =\"31612928\"]\n  26 -> 42 [size =\"31612928\"]\n  26 -> 43 [size =\"31612928\"]\n  26 -> 44 [size =\"31612928\"]\n  27 [size=\"32262827\", alpha=\"0.16\", expect_size=\"9678848\"] \n  27 -> 38 [size =\"9678848\"]\n  27 -> 43 [size =\"9678848\"]\n  28 [size=\"70959787\", alpha=\"0.16\", expect_size=\"21287936\"] \n  28 -> 41 [size =\"21287936\"]\n  28 -> 43 [size =\"21287936\"]\n  28 -> 44 [size =\"21287936\"]\n  29 [size=\"24692053\", alpha=\"0.18\", expect_size=\"7407616\"] \n  29 -> 42 [size =\"7407616\"]\n  29 -> 44 [size =\"7407616\"]\n  30 [size=\"44223147\", alpha=\"0.18\", expect_size=\"13266944\"] \n  30 -> 39 [size =\"13266944\"]\n  30 -> 44 [size =\"13266944\"]\n  31 [size=\"125883733\", alpha=\"0.17\", expect_size=\"37765120\"] \n  31 -> 39 [size =\"37765120\"]\n  31 -> 42 [size =\"37765120\"]\n  31 -> 43 [size =\"37765120\"]\n  32 [size=\"162979840\", alpha=\"0.03\", expect_size=\"48893952\"] \n  32 -> 38 [size =\"48893952\"]\n  32 -> 42 [size =\"48893952\"]\n  33 [size=\"118985387\", alpha=\"0.18\", expect_size=\"35695616\"] \n  33 -> 42 [size =\"35695616\"]\n  34 [size=\"94791680\", alpha=\"0.08\", expect_size=\"28437504\"] \n  34 -> 39 [size =\"28437504\"]\n  34 -> 42 [size =\"28437504\"]\n  34 -> 44 [size =\"28437504\"]\n  35 [size=\"64317440\", alpha=\"0.10\", expect_size=\"19295232\"] \n  35 -> 41 [size =\"19295232\"]\n  35 -> 43 [size =\"19295232\"]\n  35 -> 44 [size =\"19295232\"]\n  36 [size=\"159351467\", alpha=\"0.19\", expect_size=\"47805440\"] \n  36 -> 40 [size =\"47805440\"]\n  36 -> 43 [size =\"47805440\"]\n  37 [size=\"169908907\", alpha=\"0.18\", expect_size=\"50972672\"] \n  37 -> 38 [size =\"50972672\"]\n  37 -> 42 [size =\"50972672\"]\n  37 -> 43 [size =\"50972672\"]\n  38 [size=\"141994667\", alpha=\"0.07\", expect_size=\"42598400\"] \n  39 [size=\"109359787\", alpha=\"0.02\", expect_size=\"32807936\"] \n  39 -> 45 [size =\"32807936\"]\n  40 [size=\"96191147\", alpha=\"0.08\", expect_size=\"28857344\"] \n  41 [size=\"83032747\", alpha=\"0.12\", expect_size=\"24909824\"] \n  41 -> 45 [size =\"24909824\"]\n  42 [size=\"56214187\", alpha=\"0.04\", expect_size=\"16864256\"] \n  42 -> 45 [size =\"16864256\"]\n  43 [size=\"82653867\", alpha=\"0.05\", expect_size=\"24796160\"] \n  43 -> 45 [size =\"24796160\"]\n  44 [size=\"70587733\", alpha=\"0.19\", expect_size=\"21176320\"] \n  45 [size=\"132608000\", alpha=\"0.06\", expect_size=\"39782400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113740800\", alpha=\"0.02\", expect_size=\"45496320\"] \n  1 -> 2 [size =\"45496320\"]\n  2 [size=\"116674560\", alpha=\"0.08\", expect_size=\"46669824\"] \n  2 -> 3 [size =\"46669824\"]\n  3 [size=\"46110720\", alpha=\"0.20\", expect_size=\"18444288\"] \n  3 -> 4 [size =\"18444288\"]\n  4 [size=\"69281280\", alpha=\"0.02\", expect_size=\"27712512\"] \n  4 -> 5 [size =\"27712512\"]\n  5 [size=\"104642560\", alpha=\"0.13\", expect_size=\"41857024\"] \n  5 -> 6 [size =\"41857024\"]\n  6 [size=\"66211840\", alpha=\"0.06\", expect_size=\"26484736\"] \n  6 -> 7 [size =\"26484736\"]\n  7 [size=\"101905920\", alpha=\"0.06\", expect_size=\"40762368\"] \n  7 -> 8 [size =\"40762368\"]\n  8 [size=\"85329920\", alpha=\"0.05\", expect_size=\"34131968\"] \n  8 -> 9 [size =\"34131968\"]\n  9 [size=\"121436160\", alpha=\"0.10\", expect_size=\"48574464\"] \n  9 -> 10 [size =\"48574464\"]\n  10 [size=\"60518400\", alpha=\"0.13\", expect_size=\"24207360\"] \n  10 -> 11 [size =\"24207360\"]\n  11 [size=\"63183360\", alpha=\"0.12\", expect_size=\"25273344\"] \n  11 -> 12 [size =\"25273344\"]\n  12 [size=\"73080320\", alpha=\"0.10\", expect_size=\"29232128\"] \n  12 -> 13 [size =\"29232128\"]\n  13 [size=\"119372800\", alpha=\"0.15\", expect_size=\"47749120\"] \n  13 -> 14 [size =\"47749120\"]\n  14 [size=\"118369280\", alpha=\"0.10\", expect_size=\"47347712\"] \n  14 -> 15 [size =\"47347712\"]\n  15 [size=\"14272000\", alpha=\"0.05\", expect_size=\"5708800\"] \n  15 -> 16 [size =\"5708800\"]\n  16 [size=\"89105920\", alpha=\"0.05\", expect_size=\"35642368\"] \n  16 -> 17 [size =\"35642368\"]\n  17 [size=\"125168640\", alpha=\"0.05\", expect_size=\"50067456\"] \n  17 -> 18 [size =\"50067456\"]\n  18 [size=\"41704960\", alpha=\"0.06\", expect_size=\"16681984\"] \n  18 -> 19 [size =\"16681984\"]\n  19 [size=\"69278720\", alpha=\"0.14\", expect_size=\"27711488\"] \n  19 -> 20 [size =\"27711488\"]\n  20 [size=\"128583680\", alpha=\"0.15\", expect_size=\"51433472\"] \n  20 -> 21 [size =\"51433472\"]\n  21 [size=\"90117120\", alpha=\"0.13\", expect_size=\"36046848\"] \n  21 -> 22 [size =\"36046848\"]\n  22 [size=\"42301440\", alpha=\"0.09\", expect_size=\"16920576\"] \n  22 -> 23 [size =\"16920576\"]\n  23 [size=\"102364160\", alpha=\"0.10\", expect_size=\"40945664\"] \n  23 -> 24 [size =\"40945664\"]\n  24 [size=\"74324480\", alpha=\"0.01\", expect_size=\"29729792\"] \n  24 -> 25 [size =\"29729792\"]\n  25 [size=\"17254400\", alpha=\"0.07\", expect_size=\"6901760\"] \n  25 -> 26 [size =\"6901760\"]\n  26 [size=\"44518400\", alpha=\"0.03\", expect_size=\"17807360\"] \n  26 -> 27 [size =\"17807360\"]\n  27 [size=\"72030720\", alpha=\"0.13\", expect_size=\"28812288\"] \n  27 -> 28 [size =\"28812288\"]\n  28 [size=\"102277120\", alpha=\"0.16\", expect_size=\"40910848\"] \n  28 -> 29 [size =\"40910848\"]\n  29 [size=\"21278720\", alpha=\"0.17\", expect_size=\"8511488\"] \n  29 -> 30 [size =\"8511488\"]\n  30 [size=\"103383040\", alpha=\"0.06\", expect_size=\"41353216\"] \n  30 -> 31 [size =\"41353216\"]\n  31 [size=\"73999360\", alpha=\"0.04\", expect_size=\"29599744\"] \n  31 -> 32 [size =\"29599744\"]\n  32 [size=\"33761280\", alpha=\"0.11\", expect_size=\"13504512\"] \n  32 -> 33 [size =\"13504512\"]\n  33 [size=\"86236160\", alpha=\"0.17\", expect_size=\"34494464\"] \n  33 -> 34 [size =\"34494464\"]\n  34 [size=\"28503040\", alpha=\"0.01\", expect_size=\"11401216\"] \n  34 -> 35 [size =\"11401216\"]\n  35 [size=\"34698240\", alpha=\"0.04\", expect_size=\"13879296\"] \n  35 -> 36 [size =\"13879296\"]\n  36 [size=\"78394880\", alpha=\"0.01\", expect_size=\"31357952\"] \n  36 -> 37 [size =\"31357952\"]\n  37 [size=\"94735360\", alpha=\"0.17\", expect_size=\"37894144\"] \n  37 -> 38 [size =\"37894144\"]\n  38 [size=\"54556160\", alpha=\"0.17\", expect_size=\"21822464\"] \n  38 -> 39 [size =\"21822464\"]\n  39 [size=\"30080000\", alpha=\"0.07\", expect_size=\"12032000\"] \n  39 -> 40 [size =\"12032000\"]\n  40 [size=\"129638400\", alpha=\"0.17\", expect_size=\"51855360\"] \n  40 -> 41 [size =\"51855360\"]\n  41 [size=\"46748160\", alpha=\"0.20\", expect_size=\"18699264\"] \n  41 -> 42 [size =\"18699264\"]\n  42 [size=\"67415040\", alpha=\"0.07\", expect_size=\"26966016\"] \n  42 -> 43 [size =\"26966016\"]\n  43 [size=\"15687680\", alpha=\"0.10\", expect_size=\"6275072\"] \n  43 -> 44 [size =\"6275072\"]\n  44 [size=\"115793920\", alpha=\"0.03\", expect_size=\"46317568\"] \n  44 -> 45 [size =\"46317568\"]\n  45 [size=\"119104000\", alpha=\"0.17\", expect_size=\"47641600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155429547\", alpha=\"0.04\", expect_size=\"46628864\"] \n  1 -> 12 [size =\"46628864\"]\n  2 [size=\"21708800\", alpha=\"0.04\", expect_size=\"6512640\"] \n  3 [size=\"52514133\", alpha=\"0.08\", expect_size=\"15754240\"] \n  3 -> 9 [size =\"15754240\"]\n  3 -> 11 [size =\"15754240\"]\n  3 -> 12 [size =\"15754240\"]\n  4 [size=\"17704960\", alpha=\"0.00\", expect_size=\"5311488\"] \n  5 [size=\"74301440\", alpha=\"0.10\", expect_size=\"22290432\"] \n  5 -> 10 [size =\"22290432\"]\n  6 [size=\"29835947\", alpha=\"0.17\", expect_size=\"8950784\"] \n  7 [size=\"60484267\", alpha=\"0.19\", expect_size=\"18145280\"] \n  8 [size=\"53671253\", alpha=\"0.17\", expect_size=\"16101376\"] \n  8 -> 11 [size =\"16101376\"]\n  9 [size=\"103065600\", alpha=\"0.12\", expect_size=\"30919680\"] \n  9 -> 14 [size =\"30919680\"]\n  9 -> 15 [size =\"30919680\"]\n  10 [size=\"87497387\", alpha=\"0.04\", expect_size=\"26249216\"] \n  11 [size=\"79848107\", alpha=\"0.06\", expect_size=\"23954432\"] \n  11 -> 13 [size =\"23954432\"]\n  12 [size=\"109312000\", alpha=\"0.07\", expect_size=\"32793600\"] \n  12 -> 14 [size =\"32793600\"]\n  13 [size=\"139861333\", alpha=\"0.03\", expect_size=\"41958400\"] \n  13 -> 16 [size =\"41958400\"]\n  13 -> 18 [size =\"41958400\"]\n  13 -> 20 [size =\"41958400\"]\n  13 -> 22 [size =\"41958400\"]\n  14 [size=\"49039360\", alpha=\"0.01\", expect_size=\"14711808\"] \n  14 -> 19 [size =\"14711808\"]\n  14 -> 20 [size =\"14711808\"]\n  14 -> 21 [size =\"14711808\"]\n  14 -> 22 [size =\"14711808\"]\n  15 [size=\"49643520\", alpha=\"0.20\", expect_size=\"14893056\"] \n  15 -> 17 [size =\"14893056\"]\n  15 -> 19 [size =\"14893056\"]\n  16 [size=\"127385600\", alpha=\"0.11\", expect_size=\"38215680\"] \n  16 -> 24 [size =\"38215680\"]\n  16 -> 26 [size =\"38215680\"]\n  17 [size=\"100980053\", alpha=\"0.09\", expect_size=\"30294016\"] \n  17 -> 26 [size =\"30294016\"]\n  17 -> 27 [size =\"30294016\"]\n  18 [size=\"90736640\", alpha=\"0.03\", expect_size=\"27220992\"] \n  18 -> 27 [size =\"27220992\"]\n  18 -> 29 [size =\"27220992\"]\n  18 -> 30 [size =\"27220992\"]\n  19 [size=\"68044800\", alpha=\"0.19\", expect_size=\"20413440\"] \n  19 -> 24 [size =\"20413440\"]\n  19 -> 26 [size =\"20413440\"]\n  19 -> 28 [size =\"20413440\"]\n  19 -> 29 [size =\"20413440\"]\n  19 -> 30 [size =\"20413440\"]\n  20 [size=\"160617813\", alpha=\"0.11\", expect_size=\"48185344\"] \n  20 -> 25 [size =\"48185344\"]\n  20 -> 28 [size =\"48185344\"]\n  20 -> 29 [size =\"48185344\"]\n  20 -> 30 [size =\"48185344\"]\n  21 [size=\"34119680\", alpha=\"0.00\", expect_size=\"10235904\"] \n  22 [size=\"80537600\", alpha=\"0.10\", expect_size=\"24161280\"] \n  22 -> 23 [size =\"24161280\"]\n  22 -> 24 [size =\"24161280\"]\n  22 -> 27 [size =\"24161280\"]\n  22 -> 29 [size =\"24161280\"]\n  23 [size=\"135024640\", alpha=\"0.05\", expect_size=\"40507392\"] \n  23 -> 31 [size =\"40507392\"]\n  23 -> 34 [size =\"40507392\"]\n  23 -> 35 [size =\"40507392\"]\n  23 -> 37 [size =\"40507392\"]\n  24 [size=\"155347627\", alpha=\"0.19\", expect_size=\"46604288\"] \n  24 -> 32 [size =\"46604288\"]\n  24 -> 33 [size =\"46604288\"]\n  25 [size=\"165454507\", alpha=\"0.01\", expect_size=\"49636352\"] \n  25 -> 35 [size =\"49636352\"]\n  25 -> 36 [size =\"49636352\"]\n  26 [size=\"162191360\", alpha=\"0.04\", expect_size=\"48657408\"] \n  26 -> 32 [size =\"48657408\"]\n  27 [size=\"89122133\", alpha=\"0.13\", expect_size=\"26736640\"] \n  27 -> 36 [size =\"26736640\"]\n  27 -> 37 [size =\"26736640\"]\n  28 [size=\"156228267\", alpha=\"0.06\", expect_size=\"46868480\"] \n  28 -> 33 [size =\"46868480\"]\n  28 -> 35 [size =\"46868480\"]\n  29 [size=\"26272427\", alpha=\"0.10\", expect_size=\"7881728\"] \n  29 -> 31 [size =\"7881728\"]\n  29 -> 33 [size =\"7881728\"]\n  30 [size=\"174196053\", alpha=\"0.03\", expect_size=\"52258816\"] \n  30 -> 34 [size =\"52258816\"]\n  30 -> 35 [size =\"52258816\"]\n  30 -> 36 [size =\"52258816\"]\n  30 -> 37 [size =\"52258816\"]\n  31 [size=\"101160960\", alpha=\"0.04\", expect_size=\"30348288\"] \n  31 -> 40 [size =\"30348288\"]\n  31 -> 41 [size =\"30348288\"]\n  31 -> 42 [size =\"30348288\"]\n  32 [size=\"102406827\", alpha=\"0.17\", expect_size=\"30722048\"] \n  32 -> 38 [size =\"30722048\"]\n  32 -> 39 [size =\"30722048\"]\n  32 -> 42 [size =\"30722048\"]\n  33 [size=\"24886613\", alpha=\"0.06\", expect_size=\"7465984\"] \n  33 -> 39 [size =\"7465984\"]\n  33 -> 40 [size =\"7465984\"]\n  34 [size=\"60917760\", alpha=\"0.18\", expect_size=\"18275328\"] \n  34 -> 38 [size =\"18275328\"]\n  34 -> 39 [size =\"18275328\"]\n  34 -> 40 [size =\"18275328\"]\n  35 [size=\"53445973\", alpha=\"0.14\", expect_size=\"16033792\"] \n  35 -> 40 [size =\"16033792\"]\n  35 -> 41 [size =\"16033792\"]\n  35 -> 42 [size =\"16033792\"]\n  36 [size=\"59303253\", alpha=\"0.05\", expect_size=\"17790976\"] \n  36 -> 38 [size =\"17790976\"]\n  36 -> 41 [size =\"17790976\"]\n  36 -> 42 [size =\"17790976\"]\n  37 [size=\"90845867\", alpha=\"0.06\", expect_size=\"27253760\"] \n  37 -> 43 [size =\"27253760\"]\n  38 [size=\"33795413\", alpha=\"0.16\", expect_size=\"10138624\"] \n  39 [size=\"81640107\", alpha=\"0.13\", expect_size=\"24492032\"] \n  39 -> 44 [size =\"24492032\"]\n  39 -> 45 [size =\"24492032\"]\n  40 [size=\"162679467\", alpha=\"0.08\", expect_size=\"48803840\"] \n  40 -> 45 [size =\"48803840\"]\n  41 [size=\"32368640\", alpha=\"0.05\", expect_size=\"9710592\"] \n  41 -> 45 [size =\"9710592\"]\n  42 [size=\"67659093\", alpha=\"0.10\", expect_size=\"20297728\"] \n  43 [size=\"45806933\", alpha=\"0.10\", expect_size=\"13742080\"] \n  44 [size=\"89200640\", alpha=\"0.07\", expect_size=\"26760192\"] \n  45 [size=\"72120320\", alpha=\"0.04\", expect_size=\"21636096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166362453\", alpha=\"0.09\", expect_size=\"49908736\"] \n  1 -> 3 [size =\"49908736\"]\n  1 -> 4 [size =\"49908736\"]\n  1 -> 5 [size =\"49908736\"]\n  1 -> 6 [size =\"49908736\"]\n  2 [size=\"168328533\", alpha=\"0.14\", expect_size=\"50498560\"] \n  2 -> 3 [size =\"50498560\"]\n  2 -> 5 [size =\"50498560\"]\n  2 -> 6 [size =\"50498560\"]\n  3 [size=\"72639147\", alpha=\"0.06\", expect_size=\"21791744\"] \n  4 [size=\"20213760\", alpha=\"0.05\", expect_size=\"6064128\"] \n  4 -> 7 [size =\"6064128\"]\n  4 -> 8 [size =\"6064128\"]\n  5 [size=\"73454933\", alpha=\"0.14\", expect_size=\"22036480\"] \n  5 -> 7 [size =\"22036480\"]\n  5 -> 8 [size =\"22036480\"]\n  6 [size=\"144786773\", alpha=\"0.04\", expect_size=\"43436032\"] \n  7 [size=\"129368747\", alpha=\"0.18\", expect_size=\"38810624\"] \n  7 -> 10 [size =\"38810624\"]\n  8 [size=\"156009813\", alpha=\"0.01\", expect_size=\"46802944\"] \n  8 -> 9 [size =\"46802944\"]\n  8 -> 10 [size =\"46802944\"]\n  9 [size=\"24360960\", alpha=\"0.10\", expect_size=\"7308288\"] \n  9 -> 11 [size =\"7308288\"]\n  9 -> 12 [size =\"7308288\"]\n  10 [size=\"32590507\", alpha=\"0.02\", expect_size=\"9777152\"] \n  10 -> 11 [size =\"9777152\"]\n  10 -> 12 [size =\"9777152\"]\n  11 [size=\"118388053\", alpha=\"0.03\", expect_size=\"35516416\"] \n  11 -> 14 [size =\"35516416\"]\n  12 [size=\"29941760\", alpha=\"0.04\", expect_size=\"8982528\"] \n  12 -> 13 [size =\"8982528\"]\n  12 -> 14 [size =\"8982528\"]\n  13 [size=\"142943573\", alpha=\"0.18\", expect_size=\"42883072\"] \n  13 -> 15 [size =\"42883072\"]\n  13 -> 16 [size =\"42883072\"]\n  14 [size=\"33044480\", alpha=\"0.20\", expect_size=\"9913344\"] \n  14 -> 16 [size =\"9913344\"]\n  15 [size=\"73335467\", alpha=\"0.11\", expect_size=\"22000640\"] \n  15 -> 17 [size =\"22000640\"]\n  15 -> 19 [size =\"22000640\"]\n  16 [size=\"23255040\", alpha=\"0.05\", expect_size=\"6976512\"] \n  16 -> 17 [size =\"6976512\"]\n  16 -> 18 [size =\"6976512\"]\n  16 -> 19 [size =\"6976512\"]\n  17 [size=\"57695573\", alpha=\"0.09\", expect_size=\"17308672\"] \n  17 -> 20 [size =\"17308672\"]\n  17 -> 22 [size =\"17308672\"]\n  18 [size=\"44526933\", alpha=\"0.17\", expect_size=\"13358080\"] \n  18 -> 20 [size =\"13358080\"]\n  18 -> 21 [size =\"13358080\"]\n  18 -> 23 [size =\"13358080\"]\n  19 [size=\"53961387\", alpha=\"0.09\", expect_size=\"16188416\"] \n  19 -> 20 [size =\"16188416\"]\n  20 [size=\"130399573\", alpha=\"0.08\", expect_size=\"39119872\"] \n  20 -> 25 [size =\"39119872\"]\n  21 [size=\"149271893\", alpha=\"0.06\", expect_size=\"44781568\"] \n  22 [size=\"169226240\", alpha=\"0.03\", expect_size=\"50767872\"] \n  22 -> 24 [size =\"50767872\"]\n  23 [size=\"45619200\", alpha=\"0.08\", expect_size=\"13685760\"] \n  23 -> 25 [size =\"13685760\"]\n  24 [size=\"32877227\", alpha=\"0.12\", expect_size=\"9863168\"] \n  24 -> 26 [size =\"9863168\"]\n  24 -> 27 [size =\"9863168\"]\n  24 -> 28 [size =\"9863168\"]\n  25 [size=\"32170667\", alpha=\"0.04\", expect_size=\"9651200\"] \n  25 -> 26 [size =\"9651200\"]\n  25 -> 27 [size =\"9651200\"]\n  25 -> 28 [size =\"9651200\"]\n  26 [size=\"115210240\", alpha=\"0.12\", expect_size=\"34563072\"] \n  26 -> 29 [size =\"34563072\"]\n  26 -> 30 [size =\"34563072\"]\n  27 [size=\"152521387\", alpha=\"0.14\", expect_size=\"45756416\"] \n  27 -> 30 [size =\"45756416\"]\n  27 -> 30 [size =\"45756416\"]\n  28 [size=\"65027413\", alpha=\"0.14\", expect_size=\"19508224\"] \n  28 -> 29 [size =\"19508224\"]\n  29 [size=\"42226347\", alpha=\"0.15\", expect_size=\"12667904\"] \n  29 -> 31 [size =\"12667904\"]\n  29 -> 32 [size =\"12667904\"]\n  30 [size=\"110663680\", alpha=\"0.17\", expect_size=\"33199104\"] \n  30 -> 31 [size =\"33199104\"]\n  30 -> 32 [size =\"33199104\"]\n  31 [size=\"172800000\", alpha=\"0.13\", expect_size=\"51840000\"] \n  31 -> 33 [size =\"51840000\"]\n  32 [size=\"62948693\", alpha=\"0.10\", expect_size=\"18884608\"] \n  33 [size=\"89251840\", alpha=\"0.03\", expect_size=\"26775552\"] \n  33 -> 34 [size =\"26775552\"]\n  34 [size=\"149582507\", alpha=\"0.18\", expect_size=\"44874752\"] \n  34 -> 35 [size =\"44874752\"]\n  34 -> 36 [size =\"44874752\"]\n  35 [size=\"89395200\", alpha=\"0.00\", expect_size=\"26818560\"] \n  35 -> 37 [size =\"26818560\"]\n  35 -> 38 [size =\"26818560\"]\n  36 [size=\"121961813\", alpha=\"0.03\", expect_size=\"36588544\"] \n  36 -> 37 [size =\"36588544\"]\n  37 [size=\"60016640\", alpha=\"0.11\", expect_size=\"18004992\"] \n  37 -> 39 [size =\"18004992\"]\n  38 [size=\"172738560\", alpha=\"0.02\", expect_size=\"51821568\"] \n  38 -> 39 [size =\"51821568\"]\n  39 [size=\"126805333\", alpha=\"0.18\", expect_size=\"38041600\"] \n  39 -> 40 [size =\"38041600\"]\n  39 -> 41 [size =\"38041600\"]\n  40 [size=\"86394880\", alpha=\"0.09\", expect_size=\"25918464\"] \n  40 -> 42 [size =\"25918464\"]\n  40 -> 43 [size =\"25918464\"]\n  40 -> 44 [size =\"25918464\"]\n  41 [size=\"66618027\", alpha=\"0.16\", expect_size=\"19985408\"] \n  41 -> 42 [size =\"19985408\"]\n  41 -> 43 [size =\"19985408\"]\n  41 -> 44 [size =\"19985408\"]\n  42 [size=\"168393387\", alpha=\"0.02\", expect_size=\"50518016\"] \n  42 -> 45 [size =\"50518016\"]\n  43 [size=\"89610240\", alpha=\"0.12\", expect_size=\"26883072\"] \n  43 -> 45 [size =\"26883072\"]\n  44 [size=\"113029120\", alpha=\"0.04\", expect_size=\"33908736\"] \n  44 -> 45 [size =\"33908736\"]\n  45 [size=\"96928427\", alpha=\"0.18\", expect_size=\"29078528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102010880\", alpha=\"0.13\", expect_size=\"40804352\"] \n  1 -> 8 [size =\"40804352\"]\n  1 -> 11 [size =\"40804352\"]\n  2 [size=\"120645120\", alpha=\"0.13\", expect_size=\"48258048\"] \n  2 -> 8 [size =\"48258048\"]\n  2 -> 11 [size =\"48258048\"]\n  3 [size=\"78126080\", alpha=\"0.17\", expect_size=\"31250432\"] \n  3 -> 8 [size =\"31250432\"]\n  3 -> 10 [size =\"31250432\"]\n  3 -> 11 [size =\"31250432\"]\n  4 [size=\"67824640\", alpha=\"0.15\", expect_size=\"27129856\"] \n  4 -> 8 [size =\"27129856\"]\n  4 -> 10 [size =\"27129856\"]\n  5 [size=\"115089920\", alpha=\"0.01\", expect_size=\"46035968\"] \n  5 -> 10 [size =\"46035968\"]\n  5 -> 10 [size =\"46035968\"]\n  6 [size=\"31285760\", alpha=\"0.07\", expect_size=\"12514304\"] \n  6 -> 8 [size =\"12514304\"]\n  6 -> 10 [size =\"12514304\"]\n  7 [size=\"124520960\", alpha=\"0.15\", expect_size=\"49808384\"] \n  7 -> 9 [size =\"49808384\"]\n  7 -> 10 [size =\"49808384\"]\n  8 [size=\"57203200\", alpha=\"0.19\", expect_size=\"22881280\"] \n  8 -> 12 [size =\"22881280\"]\n  8 -> 13 [size =\"22881280\"]\n  8 -> 15 [size =\"22881280\"]\n  9 [size=\"86402560\", alpha=\"0.13\", expect_size=\"34561024\"] \n  9 -> 12 [size =\"34561024\"]\n  9 -> 13 [size =\"34561024\"]\n  9 -> 15 [size =\"34561024\"]\n  10 [size=\"100213760\", alpha=\"0.02\", expect_size=\"40085504\"] \n  10 -> 12 [size =\"40085504\"]\n  10 -> 15 [size =\"40085504\"]\n  10 -> 16 [size =\"40085504\"]\n  11 [size=\"19950080\", alpha=\"0.06\", expect_size=\"7980032\"] \n  11 -> 12 [size =\"7980032\"]\n  11 -> 13 [size =\"7980032\"]\n  11 -> 14 [size =\"7980032\"]\n  11 -> 16 [size =\"7980032\"]\n  12 [size=\"97367040\", alpha=\"0.02\", expect_size=\"38946816\"] \n  12 -> 17 [size =\"38946816\"]\n  12 -> 18 [size =\"38946816\"]\n  12 -> 19 [size =\"38946816\"]\n  12 -> 20 [size =\"38946816\"]\n  12 -> 21 [size =\"38946816\"]\n  13 [size=\"54778880\", alpha=\"0.02\", expect_size=\"21911552\"] \n  13 -> 19 [size =\"21911552\"]\n  13 -> 21 [size =\"21911552\"]\n  14 [size=\"36643840\", alpha=\"0.14\", expect_size=\"14657536\"] \n  14 -> 17 [size =\"14657536\"]\n  14 -> 21 [size =\"14657536\"]\n  15 [size=\"126725120\", alpha=\"0.16\", expect_size=\"50690048\"] \n  15 -> 17 [size =\"50690048\"]\n  15 -> 21 [size =\"50690048\"]\n  16 [size=\"14891520\", alpha=\"0.17\", expect_size=\"5956608\"] \n  16 -> 20 [size =\"5956608\"]\n  16 -> 21 [size =\"5956608\"]\n  17 [size=\"56010240\", alpha=\"0.17\", expect_size=\"22404096\"] \n  17 -> 22 [size =\"22404096\"]\n  17 -> 23 [size =\"22404096\"]\n  18 [size=\"25743360\", alpha=\"0.15\", expect_size=\"10297344\"] \n  18 -> 22 [size =\"10297344\"]\n  18 -> 26 [size =\"10297344\"]\n  18 -> 27 [size =\"10297344\"]\n  19 [size=\"18352640\", alpha=\"0.02\", expect_size=\"7341056\"] \n  19 -> 24 [size =\"7341056\"]\n  19 -> 27 [size =\"7341056\"]\n  20 [size=\"96765440\", alpha=\"0.15\", expect_size=\"38706176\"] \n  20 -> 24 [size =\"38706176\"]\n  20 -> 27 [size =\"38706176\"]\n  21 [size=\"107031040\", alpha=\"0.02\", expect_size=\"42812416\"] \n  21 -> 22 [size =\"42812416\"]\n  21 -> 23 [size =\"42812416\"]\n  21 -> 24 [size =\"42812416\"]\n  21 -> 25 [size =\"42812416\"]\n  21 -> 26 [size =\"42812416\"]\n  22 [size=\"25958400\", alpha=\"0.08\", expect_size=\"10383360\"] \n  22 -> 28 [size =\"10383360\"]\n  22 -> 29 [size =\"10383360\"]\n  22 -> 30 [size =\"10383360\"]\n  22 -> 31 [size =\"10383360\"]\n  23 [size=\"39165440\", alpha=\"0.04\", expect_size=\"15666176\"] \n  23 -> 28 [size =\"15666176\"]\n  23 -> 29 [size =\"15666176\"]\n  23 -> 30 [size =\"15666176\"]\n  23 -> 31 [size =\"15666176\"]\n  24 [size=\"48988160\", alpha=\"0.10\", expect_size=\"19595264\"] \n  24 -> 28 [size =\"19595264\"]\n  24 -> 29 [size =\"19595264\"]\n  24 -> 30 [size =\"19595264\"]\n  24 -> 31 [size =\"19595264\"]\n  25 [size=\"14036480\", alpha=\"0.13\", expect_size=\"5614592\"] \n  25 -> 29 [size =\"5614592\"]\n  25 -> 30 [size =\"5614592\"]\n  25 -> 31 [size =\"5614592\"]\n  26 [size=\"110835200\", alpha=\"0.19\", expect_size=\"44334080\"] \n  26 -> 29 [size =\"44334080\"]\n  26 -> 30 [size =\"44334080\"]\n  26 -> 31 [size =\"44334080\"]\n  27 [size=\"92915200\", alpha=\"0.05\", expect_size=\"37166080\"] \n  27 -> 30 [size =\"37166080\"]\n  27 -> 31 [size =\"37166080\"]\n  28 [size=\"73320960\", alpha=\"0.17\", expect_size=\"29328384\"] \n  28 -> 32 [size =\"29328384\"]\n  28 -> 34 [size =\"29328384\"]\n  28 -> 36 [size =\"29328384\"]\n  29 [size=\"45911040\", alpha=\"0.02\", expect_size=\"18364416\"] \n  29 -> 32 [size =\"18364416\"]\n  29 -> 33 [size =\"18364416\"]\n  29 -> 36 [size =\"18364416\"]\n  30 [size=\"59973120\", alpha=\"0.02\", expect_size=\"23989248\"] \n  30 -> 32 [size =\"23989248\"]\n  30 -> 33 [size =\"23989248\"]\n  30 -> 35 [size =\"23989248\"]\n  30 -> 36 [size =\"23989248\"]\n  31 [size=\"28423680\", alpha=\"0.03\", expect_size=\"11369472\"] \n  31 -> 33 [size =\"11369472\"]\n  31 -> 33 [size =\"11369472\"]\n  31 -> 34 [size =\"11369472\"]\n  31 -> 35 [size =\"11369472\"]\n  31 -> 36 [size =\"11369472\"]\n  32 [size=\"40161280\", alpha=\"0.18\", expect_size=\"16064512\"] \n  32 -> 38 [size =\"16064512\"]\n  32 -> 39 [size =\"16064512\"]\n  33 [size=\"84766720\", alpha=\"0.01\", expect_size=\"33906688\"] \n  33 -> 37 [size =\"33906688\"]\n  33 -> 38 [size =\"33906688\"]\n  33 -> 39 [size =\"33906688\"]\n  34 [size=\"109291520\", alpha=\"0.07\", expect_size=\"43716608\"] \n  34 -> 37 [size =\"43716608\"]\n  34 -> 39 [size =\"43716608\"]\n  35 [size=\"50490880\", alpha=\"0.12\", expect_size=\"20196352\"] \n  35 -> 37 [size =\"20196352\"]\n  35 -> 39 [size =\"20196352\"]\n  35 -> 40 [size =\"20196352\"]\n  35 -> 41 [size =\"20196352\"]\n  36 [size=\"128317440\", alpha=\"0.18\", expect_size=\"51326976\"] \n  36 -> 37 [size =\"51326976\"]\n  36 -> 41 [size =\"51326976\"]\n  37 [size=\"125015040\", alpha=\"0.11\", expect_size=\"50006016\"] \n  37 -> 42 [size =\"50006016\"]\n  38 [size=\"34040320\", alpha=\"0.07\", expect_size=\"13616128\"] \n  38 -> 43 [size =\"13616128\"]\n  39 [size=\"17454080\", alpha=\"0.03\", expect_size=\"6981632\"] \n  39 -> 43 [size =\"6981632\"]\n  39 -> 44 [size =\"6981632\"]\n  39 -> 45 [size =\"6981632\"]\n  40 [size=\"30586880\", alpha=\"0.13\", expect_size=\"12234752\"] \n  40 -> 42 [size =\"12234752\"]\n  40 -> 44 [size =\"12234752\"]\n  41 [size=\"42583040\", alpha=\"0.20\", expect_size=\"17033216\"] \n  41 -> 43 [size =\"17033216\"]\n  41 -> 44 [size =\"17033216\"]\n  42 [size=\"60285440\", alpha=\"0.08\", expect_size=\"24114176\"] \n  43 [size=\"49991680\", alpha=\"0.01\", expect_size=\"19996672\"] \n  44 [size=\"53378560\", alpha=\"0.20\", expect_size=\"21351424\"] \n  45 [size=\"93977600\", alpha=\"0.19\", expect_size=\"37591040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87760213\", alpha=\"0.10\", expect_size=\"26328064\"] \n  1 -> 3 [size =\"26328064\"]\n  1 -> 4 [size =\"26328064\"]\n  2 [size=\"21428907\", alpha=\"0.12\", expect_size=\"6428672\"] \n  2 -> 4 [size =\"6428672\"]\n  3 [size=\"94334293\", alpha=\"0.17\", expect_size=\"28300288\"] \n  3 -> 5 [size =\"28300288\"]\n  3 -> 6 [size =\"28300288\"]\n  3 -> 7 [size =\"28300288\"]\n  4 [size=\"44731733\", alpha=\"0.02\", expect_size=\"13419520\"] \n  4 -> 5 [size =\"13419520\"]\n  4 -> 6 [size =\"13419520\"]\n  4 -> 7 [size =\"13419520\"]\n  5 [size=\"70621867\", alpha=\"0.19\", expect_size=\"21186560\"] \n  5 -> 8 [size =\"21186560\"]\n  6 [size=\"79755947\", alpha=\"0.11\", expect_size=\"23926784\"] \n  6 -> 8 [size =\"23926784\"]\n  6 -> 9 [size =\"23926784\"]\n  7 [size=\"155886933\", alpha=\"0.19\", expect_size=\"46766080\"] \n  7 -> 9 [size =\"46766080\"]\n  8 [size=\"65232213\", alpha=\"0.09\", expect_size=\"19569664\"] \n  8 -> 10 [size =\"19569664\"]\n  8 -> 11 [size =\"19569664\"]\n  8 -> 12 [size =\"19569664\"]\n  9 [size=\"20469760\", alpha=\"0.12\", expect_size=\"6140928\"] \n  9 -> 11 [size =\"6140928\"]\n  9 -> 12 [size =\"6140928\"]\n  10 [size=\"94771200\", alpha=\"0.10\", expect_size=\"28431360\"] \n  10 -> 13 [size =\"28431360\"]\n  10 -> 15 [size =\"28431360\"]\n  11 [size=\"71714133\", alpha=\"0.18\", expect_size=\"21514240\"] \n  11 -> 13 [size =\"21514240\"]\n  12 [size=\"146838187\", alpha=\"0.04\", expect_size=\"44051456\"] \n  12 -> 14 [size =\"44051456\"]\n  13 [size=\"87053653\", alpha=\"0.10\", expect_size=\"26116096\"] \n  13 -> 16 [size =\"26116096\"]\n  13 -> 17 [size =\"26116096\"]\n  14 [size=\"62610773\", alpha=\"0.18\", expect_size=\"18783232\"] \n  15 [size=\"81189547\", alpha=\"0.06\", expect_size=\"24356864\"] \n  16 [size=\"77226667\", alpha=\"0.06\", expect_size=\"23168000\"] \n  16 -> 20 [size =\"23168000\"]\n  17 [size=\"161901227\", alpha=\"0.17\", expect_size=\"48570368\"] \n  17 -> 18 [size =\"48570368\"]\n  17 -> 19 [size =\"48570368\"]\n  18 [size=\"157941760\", alpha=\"0.02\", expect_size=\"47382528\"] \n  18 -> 22 [size =\"47382528\"]\n  19 [size=\"73328640\", alpha=\"0.16\", expect_size=\"21998592\"] \n  20 [size=\"166570667\", alpha=\"0.16\", expect_size=\"49971200\"] \n  20 -> 21 [size =\"49971200\"]\n  21 [size=\"84435627\", alpha=\"0.05\", expect_size=\"25330688\"] \n  22 [size=\"68423680\", alpha=\"0.15\", expect_size=\"20527104\"] \n  22 -> 23 [size =\"20527104\"]\n  22 -> 24 [size =\"20527104\"]\n  23 [size=\"100887893\", alpha=\"0.14\", expect_size=\"30266368\"] \n  23 -> 25 [size =\"30266368\"]\n  23 -> 26 [size =\"30266368\"]\n  23 -> 27 [size =\"30266368\"]\n  24 [size=\"20780373\", alpha=\"0.17\", expect_size=\"6234112\"] \n  24 -> 25 [size =\"6234112\"]\n  25 [size=\"159245653\", alpha=\"0.07\", expect_size=\"47773696\"] \n  26 [size=\"47977813\", alpha=\"0.05\", expect_size=\"14393344\"] \n  26 -> 28 [size =\"14393344\"]\n  27 [size=\"95607467\", alpha=\"0.00\", expect_size=\"28682240\"] \n  27 -> 29 [size =\"28682240\"]\n  28 [size=\"68584107\", alpha=\"0.01\", expect_size=\"20575232\"] \n  28 -> 31 [size =\"20575232\"]\n  28 -> 32 [size =\"20575232\"]\n  29 [size=\"84462933\", alpha=\"0.03\", expect_size=\"25338880\"] \n  29 -> 30 [size =\"25338880\"]\n  29 -> 31 [size =\"25338880\"]\n  30 [size=\"49749333\", alpha=\"0.15\", expect_size=\"14924800\"] \n  30 -> 33 [size =\"14924800\"]\n  30 -> 34 [size =\"14924800\"]\n  31 [size=\"17496747\", alpha=\"0.13\", expect_size=\"5249024\"] \n  31 -> 33 [size =\"5249024\"]\n  32 [size=\"57992533\", alpha=\"0.08\", expect_size=\"17397760\"] \n  32 -> 34 [size =\"17397760\"]\n  33 [size=\"17899520\", alpha=\"0.12\", expect_size=\"5369856\"] \n  33 -> 36 [size =\"5369856\"]\n  34 [size=\"131368960\", alpha=\"0.01\", expect_size=\"39410688\"] \n  34 -> 35 [size =\"39410688\"]\n  35 [size=\"111083520\", alpha=\"0.19\", expect_size=\"33325056\"] \n  35 -> 37 [size =\"33325056\"]\n  35 -> 38 [size =\"33325056\"]\n  36 [size=\"167471787\", alpha=\"0.04\", expect_size=\"50241536\"] \n  37 [size=\"48250880\", alpha=\"0.08\", expect_size=\"14475264\"] \n  37 -> 40 [size =\"14475264\"]\n  38 [size=\"49114453\", alpha=\"0.09\", expect_size=\"14734336\"] \n  38 -> 39 [size =\"14734336\"]\n  39 [size=\"60535467\", alpha=\"0.18\", expect_size=\"18160640\"] \n  40 [size=\"85507413\", alpha=\"0.05\", expect_size=\"25652224\"] \n  40 -> 41 [size =\"25652224\"]\n  40 -> 42 [size =\"25652224\"]\n  40 -> 43 [size =\"25652224\"]\n  41 [size=\"44042240\", alpha=\"0.01\", expect_size=\"13212672\"] \n  42 [size=\"147671040\", alpha=\"0.03\", expect_size=\"44301312\"] \n  43 [size=\"53893120\", alpha=\"0.17\", expect_size=\"16167936\"] \n  43 -> 44 [size =\"16167936\"]\n  43 -> 45 [size =\"16167936\"]\n  44 [size=\"146862080\", alpha=\"0.10\", expect_size=\"44058624\"] \n  45 [size=\"157143040\", alpha=\"0.02\", expect_size=\"47142912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122931200\", alpha=\"0.04\", expect_size=\"36879360\"] \n  1 -> 33 [size =\"36879360\"]\n  1 -> 37 [size =\"36879360\"]\n  1 -> 39 [size =\"36879360\"]\n  1 -> 41 [size =\"36879360\"]\n  1 -> 43 [size =\"36879360\"]\n  2 [size=\"78185813\", alpha=\"0.16\", expect_size=\"23455744\"] \n  2 -> 32 [size =\"23455744\"]\n  2 -> 33 [size =\"23455744\"]\n  2 -> 37 [size =\"23455744\"]\n  2 -> 43 [size =\"23455744\"]\n  2 -> 45 [size =\"23455744\"]\n  3 [size=\"138045440\", alpha=\"0.06\", expect_size=\"41413632\"] \n  3 -> 42 [size =\"41413632\"]\n  4 [size=\"167734613\", alpha=\"0.14\", expect_size=\"50320384\"] \n  4 -> 32 [size =\"50320384\"]\n  4 -> 34 [size =\"50320384\"]\n  4 -> 37 [size =\"50320384\"]\n  5 [size=\"29549227\", alpha=\"0.19\", expect_size=\"8864768\"] \n  5 -> 34 [size =\"8864768\"]\n  6 [size=\"90866347\", alpha=\"0.18\", expect_size=\"27259904\"] \n  7 [size=\"72564053\", alpha=\"0.15\", expect_size=\"21769216\"] \n  7 -> 38 [size =\"21769216\"]\n  8 [size=\"100901547\", alpha=\"0.17\", expect_size=\"30270464\"] \n  8 -> 35 [size =\"30270464\"]\n  8 -> 37 [size =\"30270464\"]\n  8 -> 41 [size =\"30270464\"]\n  9 [size=\"23483733\", alpha=\"0.05\", expect_size=\"7045120\"] \n  9 -> 32 [size =\"7045120\"]\n  9 -> 35 [size =\"7045120\"]\n  9 -> 36 [size =\"7045120\"]\n  9 -> 40 [size =\"7045120\"]\n  10 [size=\"59634347\", alpha=\"0.01\", expect_size=\"17890304\"] \n  10 -> 32 [size =\"17890304\"]\n  10 -> 36 [size =\"17890304\"]\n  10 -> 36 [size =\"17890304\"]\n  10 -> 39 [size =\"17890304\"]\n  11 [size=\"138465280\", alpha=\"0.01\", expect_size=\"41539584\"] \n  11 -> 32 [size =\"41539584\"]\n  11 -> 40 [size =\"41539584\"]\n  11 -> 41 [size =\"41539584\"]\n  12 [size=\"170349227\", alpha=\"0.04\", expect_size=\"51104768\"] \n  12 -> 36 [size =\"51104768\"]\n  12 -> 41 [size =\"51104768\"]\n  13 [size=\"136690347\", alpha=\"0.02\", expect_size=\"41007104\"] \n  13 -> 34 [size =\"41007104\"]\n  13 -> 35 [size =\"41007104\"]\n  13 -> 41 [size =\"41007104\"]\n  13 -> 42 [size =\"41007104\"]\n  14 [size=\"27450027\", alpha=\"0.15\", expect_size=\"8235008\"] \n  14 -> 33 [size =\"8235008\"]\n  15 [size=\"140373333\", alpha=\"0.19\", expect_size=\"42112000\"] \n  15 -> 36 [size =\"42112000\"]\n  16 [size=\"129256107\", alpha=\"0.20\", expect_size=\"38776832\"] \n  16 -> 32 [size =\"38776832\"]\n  16 -> 33 [size =\"38776832\"]\n  16 -> 41 [size =\"38776832\"]\n  17 [size=\"116838400\", alpha=\"0.16\", expect_size=\"35051520\"] \n  17 -> 34 [size =\"35051520\"]\n  17 -> 36 [size =\"35051520\"]\n  17 -> 41 [size =\"35051520\"]\n  17 -> 42 [size =\"35051520\"]\n  17 -> 45 [size =\"35051520\"]\n  18 [size=\"76895573\", alpha=\"0.05\", expect_size=\"23068672\"] \n  18 -> 33 [size =\"23068672\"]\n  18 -> 36 [size =\"23068672\"]\n  18 -> 37 [size =\"23068672\"]\n  18 -> 39 [size =\"23068672\"]\n  18 -> 40 [size =\"23068672\"]\n  18 -> 42 [size =\"23068672\"]\n  19 [size=\"56357547\", alpha=\"0.06\", expect_size=\"16907264\"] \n  20 [size=\"93211307\", alpha=\"0.02\", expect_size=\"27963392\"] \n  20 -> 37 [size =\"27963392\"]\n  20 -> 40 [size =\"27963392\"]\n  20 -> 42 [size =\"27963392\"]\n  21 [size=\"101072213\", alpha=\"0.12\", expect_size=\"30321664\"] \n  21 -> 37 [size =\"30321664\"]\n  21 -> 41 [size =\"30321664\"]\n  21 -> 42 [size =\"30321664\"]\n  22 [size=\"105693867\", alpha=\"0.09\", expect_size=\"31708160\"] \n  22 -> 32 [size =\"31708160\"]\n  22 -> 33 [size =\"31708160\"]\n  22 -> 39 [size =\"31708160\"]\n  22 -> 43 [size =\"31708160\"]\n  23 [size=\"134024533\", alpha=\"0.01\", expect_size=\"40207360\"] \n  23 -> 33 [size =\"40207360\"]\n  23 -> 35 [size =\"40207360\"]\n  23 -> 42 [size =\"40207360\"]\n  23 -> 45 [size =\"40207360\"]\n  24 [size=\"151654400\", alpha=\"0.13\", expect_size=\"45496320\"] \n  24 -> 33 [size =\"45496320\"]\n  24 -> 37 [size =\"45496320\"]\n  24 -> 38 [size =\"45496320\"]\n  24 -> 40 [size =\"45496320\"]\n  25 [size=\"110028800\", alpha=\"0.07\", expect_size=\"33008640\"] \n  25 -> 37 [size =\"33008640\"]\n  25 -> 38 [size =\"33008640\"]\n  25 -> 41 [size =\"33008640\"]\n  25 -> 42 [size =\"33008640\"]\n  26 [size=\"104546987\", alpha=\"0.09\", expect_size=\"31364096\"] \n  26 -> 32 [size =\"31364096\"]\n  26 -> 37 [size =\"31364096\"]\n  26 -> 41 [size =\"31364096\"]\n  26 -> 44 [size =\"31364096\"]\n  27 [size=\"100932267\", alpha=\"0.19\", expect_size=\"30279680\"] \n  27 -> 32 [size =\"30279680\"]\n  27 -> 37 [size =\"30279680\"]\n  27 -> 38 [size =\"30279680\"]\n  28 [size=\"66106027\", alpha=\"0.19\", expect_size=\"19831808\"] \n  28 -> 37 [size =\"19831808\"]\n  29 [size=\"109158400\", alpha=\"0.20\", expect_size=\"32747520\"] \n  29 -> 37 [size =\"32747520\"]\n  29 -> 39 [size =\"32747520\"]\n  29 -> 44 [size =\"32747520\"]\n  30 [size=\"154422613\", alpha=\"0.06\", expect_size=\"46326784\"] \n  30 -> 41 [size =\"46326784\"]\n  30 -> 44 [size =\"46326784\"]\n  30 -> 44 [size =\"46326784\"]\n  30 -> 45 [size =\"46326784\"]\n  31 [size=\"169669973\", alpha=\"0.08\", expect_size=\"50900992\"] \n  31 -> 39 [size =\"50900992\"]\n  31 -> 43 [size =\"50900992\"]\n  31 -> 44 [size =\"50900992\"]\n  32 [size=\"103069013\", alpha=\"0.09\", expect_size=\"30920704\"] \n  33 [size=\"172615680\", alpha=\"0.06\", expect_size=\"51784704\"] \n  34 [size=\"27026773\", alpha=\"0.03\", expect_size=\"8108032\"] \n  35 [size=\"131130027\", alpha=\"0.16\", expect_size=\"39339008\"] \n  36 [size=\"25142613\", alpha=\"0.04\", expect_size=\"7542784\"] \n  37 [size=\"97034240\", alpha=\"0.04\", expect_size=\"29110272\"] \n  38 [size=\"87313067\", alpha=\"0.12\", expect_size=\"26193920\"] \n  39 [size=\"79411200\", alpha=\"0.04\", expect_size=\"23823360\"] \n  40 [size=\"79336107\", alpha=\"0.06\", expect_size=\"23800832\"] \n  41 [size=\"129242453\", alpha=\"0.19\", expect_size=\"38772736\"] \n  42 [size=\"35556693\", alpha=\"0.03\", expect_size=\"10667008\"] \n  43 [size=\"108438187\", alpha=\"0.02\", expect_size=\"32531456\"] \n  44 [size=\"152524800\", alpha=\"0.18\", expect_size=\"45757440\"] \n  45 [size=\"20510720\", alpha=\"0.06\", expect_size=\"6153216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80564907\", alpha=\"0.13\", expect_size=\"24169472\"] \n  1 -> 2 [size =\"24169472\"]\n  2 [size=\"80954027\", alpha=\"0.08\", expect_size=\"24286208\"] \n  2 -> 3 [size =\"24286208\"]\n  3 [size=\"81541120\", alpha=\"0.01\", expect_size=\"24462336\"] \n  3 -> 4 [size =\"24462336\"]\n  4 [size=\"126068053\", alpha=\"0.18\", expect_size=\"37820416\"] \n  4 -> 5 [size =\"37820416\"]\n  5 [size=\"42745173\", alpha=\"0.17\", expect_size=\"12823552\"] \n  5 -> 6 [size =\"12823552\"]\n  6 [size=\"107339093\", alpha=\"0.06\", expect_size=\"32201728\"] \n  6 -> 7 [size =\"32201728\"]\n  7 [size=\"66600960\", alpha=\"0.08\", expect_size=\"19980288\"] \n  7 -> 8 [size =\"19980288\"]\n  8 [size=\"37550080\", alpha=\"0.18\", expect_size=\"11265024\"] \n  8 -> 9 [size =\"11265024\"]\n  9 [size=\"146964480\", alpha=\"0.09\", expect_size=\"44089344\"] \n  9 -> 10 [size =\"44089344\"]\n  10 [size=\"150930773\", alpha=\"0.19\", expect_size=\"45279232\"] \n  10 -> 11 [size =\"45279232\"]\n  11 [size=\"49158827\", alpha=\"0.13\", expect_size=\"14747648\"] \n  11 -> 12 [size =\"14747648\"]\n  12 [size=\"151866027\", alpha=\"0.04\", expect_size=\"45559808\"] \n  12 -> 13 [size =\"45559808\"]\n  13 [size=\"58562560\", alpha=\"0.14\", expect_size=\"17568768\"] \n  13 -> 14 [size =\"17568768\"]\n  14 [size=\"69481813\", alpha=\"0.03\", expect_size=\"20844544\"] \n  14 -> 15 [size =\"20844544\"]\n  15 [size=\"55422293\", alpha=\"0.11\", expect_size=\"16626688\"] \n  15 -> 16 [size =\"16626688\"]\n  16 [size=\"31163733\", alpha=\"0.10\", expect_size=\"9349120\"] \n  16 -> 17 [size =\"9349120\"]\n  17 [size=\"80940373\", alpha=\"0.05\", expect_size=\"24282112\"] \n  17 -> 18 [size =\"24282112\"]\n  18 [size=\"145503573\", alpha=\"0.04\", expect_size=\"43651072\"] \n  18 -> 19 [size =\"43651072\"]\n  19 [size=\"126880427\", alpha=\"0.14\", expect_size=\"38064128\"] \n  19 -> 20 [size =\"38064128\"]\n  20 [size=\"41837227\", alpha=\"0.11\", expect_size=\"12551168\"] \n  20 -> 21 [size =\"12551168\"]\n  21 [size=\"36976640\", alpha=\"0.15\", expect_size=\"11092992\"] \n  21 -> 22 [size =\"11092992\"]\n  22 [size=\"136898560\", alpha=\"0.08\", expect_size=\"41069568\"] \n  22 -> 23 [size =\"41069568\"]\n  23 [size=\"169714347\", alpha=\"0.09\", expect_size=\"50914304\"] \n  23 -> 24 [size =\"50914304\"]\n  24 [size=\"122927787\", alpha=\"0.04\", expect_size=\"36878336\"] \n  24 -> 25 [size =\"36878336\"]\n  25 [size=\"148602880\", alpha=\"0.01\", expect_size=\"44580864\"] \n  25 -> 26 [size =\"44580864\"]\n  26 [size=\"76840960\", alpha=\"0.11\", expect_size=\"23052288\"] \n  26 -> 27 [size =\"23052288\"]\n  27 [size=\"152797867\", alpha=\"0.06\", expect_size=\"45839360\"] \n  27 -> 28 [size =\"45839360\"]\n  28 [size=\"36345173\", alpha=\"0.04\", expect_size=\"10903552\"] \n  28 -> 29 [size =\"10903552\"]\n  29 [size=\"68604587\", alpha=\"0.19\", expect_size=\"20581376\"] \n  29 -> 30 [size =\"20581376\"]\n  30 [size=\"21620053\", alpha=\"0.11\", expect_size=\"6486016\"] \n  30 -> 31 [size =\"6486016\"]\n  31 [size=\"105366187\", alpha=\"0.06\", expect_size=\"31609856\"] \n  31 -> 32 [size =\"31609856\"]\n  32 [size=\"68365653\", alpha=\"0.19\", expect_size=\"20509696\"] \n  32 -> 33 [size =\"20509696\"]\n  33 [size=\"131379200\", alpha=\"0.17\", expect_size=\"39413760\"] \n  33 -> 34 [size =\"39413760\"]\n  34 [size=\"43905707\", alpha=\"0.01\", expect_size=\"13171712\"] \n  34 -> 35 [size =\"13171712\"]\n  35 [size=\"71819947\", alpha=\"0.11\", expect_size=\"21545984\"] \n  35 -> 36 [size =\"21545984\"]\n  36 [size=\"83111253\", alpha=\"0.02\", expect_size=\"24933376\"] \n  36 -> 37 [size =\"24933376\"]\n  37 [size=\"167639040\", alpha=\"0.01\", expect_size=\"50291712\"] \n  37 -> 38 [size =\"50291712\"]\n  38 [size=\"59958613\", alpha=\"0.16\", expect_size=\"17987584\"] \n  38 -> 39 [size =\"17987584\"]\n  39 [size=\"94720000\", alpha=\"0.05\", expect_size=\"28416000\"] \n  39 -> 40 [size =\"28416000\"]\n  40 [size=\"86838613\", alpha=\"0.18\", expect_size=\"26051584\"] \n  40 -> 41 [size =\"26051584\"]\n  41 [size=\"169768960\", alpha=\"0.13\", expect_size=\"50930688\"] \n  41 -> 42 [size =\"50930688\"]\n  42 [size=\"60627627\", alpha=\"0.03\", expect_size=\"18188288\"] \n  42 -> 43 [size =\"18188288\"]\n  43 [size=\"51087360\", alpha=\"0.12\", expect_size=\"15326208\"] \n  43 -> 44 [size =\"15326208\"]\n  44 [size=\"24954880\", alpha=\"0.15\", expect_size=\"7486464\"] \n  44 -> 45 [size =\"7486464\"]\n  45 [size=\"34235733\", alpha=\"0.15\", expect_size=\"10270720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93954048\", alpha=\"0.09\", expect_size=\"46977024\"] \n  1 -> 29 [size =\"46977024\"]\n  1 -> 34 [size =\"46977024\"]\n  1 -> 36 [size =\"46977024\"]\n  1 -> 37 [size =\"46977024\"]\n  1 -> 38 [size =\"46977024\"]\n  1 -> 43 [size =\"46977024\"]\n  1 -> 45 [size =\"46977024\"]\n  2 [size=\"83451904\", alpha=\"0.09\", expect_size=\"41725952\"] \n  2 -> 29 [size =\"41725952\"]\n  2 -> 34 [size =\"41725952\"]\n  2 -> 37 [size =\"41725952\"]\n  2 -> 38 [size =\"41725952\"]\n  2 -> 41 [size =\"41725952\"]\n  2 -> 44 [size =\"41725952\"]\n  2 -> 45 [size =\"41725952\"]\n  3 [size=\"104192000\", alpha=\"0.07\", expect_size=\"52096000\"] \n  3 -> 29 [size =\"52096000\"]\n  3 -> 31 [size =\"52096000\"]\n  3 -> 32 [size =\"52096000\"]\n  3 -> 34 [size =\"52096000\"]\n  3 -> 37 [size =\"52096000\"]\n  3 -> 38 [size =\"52096000\"]\n  4 [size=\"20674560\", alpha=\"0.09\", expect_size=\"10337280\"] \n  4 -> 29 [size =\"10337280\"]\n  4 -> 31 [size =\"10337280\"]\n  4 -> 34 [size =\"10337280\"]\n  4 -> 40 [size =\"10337280\"]\n  4 -> 42 [size =\"10337280\"]\n  4 -> 45 [size =\"10337280\"]\n  5 [size=\"62287872\", alpha=\"0.13\", expect_size=\"31143936\"] \n  5 -> 30 [size =\"31143936\"]\n  5 -> 45 [size =\"31143936\"]\n  6 [size=\"60520448\", alpha=\"0.01\", expect_size=\"30260224\"] \n  6 -> 29 [size =\"30260224\"]\n  6 -> 39 [size =\"30260224\"]\n  6 -> 40 [size =\"30260224\"]\n  6 -> 41 [size =\"30260224\"]\n  6 -> 43 [size =\"30260224\"]\n  7 [size=\"24367104\", alpha=\"0.11\", expect_size=\"12183552\"] \n  7 -> 31 [size =\"12183552\"]\n  7 -> 34 [size =\"12183552\"]\n  7 -> 38 [size =\"12183552\"]\n  8 [size=\"59873280\", alpha=\"0.16\", expect_size=\"29936640\"] \n  8 -> 29 [size =\"29936640\"]\n  8 -> 35 [size =\"29936640\"]\n  8 -> 38 [size =\"29936640\"]\n  8 -> 39 [size =\"29936640\"]\n  8 -> 40 [size =\"29936640\"]\n  8 -> 44 [size =\"29936640\"]\n  9 [size=\"94185472\", alpha=\"0.12\", expect_size=\"47092736\"] \n  9 -> 31 [size =\"47092736\"]\n  9 -> 32 [size =\"47092736\"]\n  9 -> 34 [size =\"47092736\"]\n  9 -> 37 [size =\"47092736\"]\n  9 -> 38 [size =\"47092736\"]\n  9 -> 40 [size =\"47092736\"]\n  9 -> 41 [size =\"47092736\"]\n  9 -> 44 [size =\"47092736\"]\n  10 [size=\"13737984\", alpha=\"0.17\", expect_size=\"6868992\"] \n  10 -> 31 [size =\"6868992\"]\n  10 -> 39 [size =\"6868992\"]\n  10 -> 40 [size =\"6868992\"]\n  10 -> 42 [size =\"6868992\"]\n  11 [size=\"28383232\", alpha=\"0.03\", expect_size=\"14191616\"] \n  11 -> 29 [size =\"14191616\"]\n  11 -> 33 [size =\"14191616\"]\n  11 -> 40 [size =\"14191616\"]\n  11 -> 41 [size =\"14191616\"]\n  11 -> 42 [size =\"14191616\"]\n  12 [size=\"69990400\", alpha=\"0.15\", expect_size=\"34995200\"] \n  12 -> 29 [size =\"34995200\"]\n  12 -> 31 [size =\"34995200\"]\n  12 -> 33 [size =\"34995200\"]\n  12 -> 34 [size =\"34995200\"]\n  12 -> 35 [size =\"34995200\"]\n  12 -> 41 [size =\"34995200\"]\n  13 [size=\"19845120\", alpha=\"0.10\", expect_size=\"9922560\"] \n  13 -> 29 [size =\"9922560\"]\n  13 -> 40 [size =\"9922560\"]\n  13 -> 45 [size =\"9922560\"]\n  14 [size=\"52545536\", alpha=\"0.15\", expect_size=\"26272768\"] \n  14 -> 30 [size =\"26272768\"]\n  14 -> 32 [size =\"26272768\"]\n  14 -> 33 [size =\"26272768\"]\n  14 -> 39 [size =\"26272768\"]\n  14 -> 40 [size =\"26272768\"]\n  15 [size=\"93032448\", alpha=\"0.16\", expect_size=\"46516224\"] \n  15 -> 30 [size =\"46516224\"]\n  15 -> 40 [size =\"46516224\"]\n  15 -> 41 [size =\"46516224\"]\n  15 -> 42 [size =\"46516224\"]\n  15 -> 45 [size =\"46516224\"]\n  16 [size=\"61022208\", alpha=\"0.12\", expect_size=\"30511104\"] \n  16 -> 30 [size =\"30511104\"]\n  16 -> 34 [size =\"30511104\"]\n  16 -> 35 [size =\"30511104\"]\n  16 -> 36 [size =\"30511104\"]\n  16 -> 37 [size =\"30511104\"]\n  16 -> 38 [size =\"30511104\"]\n  16 -> 40 [size =\"30511104\"]\n  16 -> 44 [size =\"30511104\"]\n  17 [size=\"68085760\", alpha=\"0.13\", expect_size=\"34042880\"] \n  17 -> 29 [size =\"34042880\"]\n  17 -> 32 [size =\"34042880\"]\n  17 -> 34 [size =\"34042880\"]\n  17 -> 35 [size =\"34042880\"]\n  17 -> 36 [size =\"34042880\"]\n  17 -> 39 [size =\"34042880\"]\n  17 -> 40 [size =\"34042880\"]\n  17 -> 41 [size =\"34042880\"]\n  18 [size=\"27078656\", alpha=\"0.12\", expect_size=\"13539328\"] \n  18 -> 36 [size =\"13539328\"]\n  18 -> 38 [size =\"13539328\"]\n  18 -> 39 [size =\"13539328\"]\n  18 -> 42 [size =\"13539328\"]\n  18 -> 43 [size =\"13539328\"]\n  19 [size=\"102289408\", alpha=\"0.18\", expect_size=\"51144704\"] \n  19 -> 29 [size =\"51144704\"]\n  19 -> 30 [size =\"51144704\"]\n  19 -> 32 [size =\"51144704\"]\n  19 -> 34 [size =\"51144704\"]\n  19 -> 38 [size =\"51144704\"]\n  19 -> 39 [size =\"51144704\"]\n  19 -> 44 [size =\"51144704\"]\n  19 -> 45 [size =\"51144704\"]\n  20 [size=\"66185216\", alpha=\"0.14\", expect_size=\"33092608\"] \n  20 -> 29 [size =\"33092608\"]\n  20 -> 30 [size =\"33092608\"]\n  20 -> 33 [size =\"33092608\"]\n  20 -> 35 [size =\"33092608\"]\n  20 -> 36 [size =\"33092608\"]\n  20 -> 38 [size =\"33092608\"]\n  20 -> 41 [size =\"33092608\"]\n  20 -> 44 [size =\"33092608\"]\n  21 [size=\"53897216\", alpha=\"0.07\", expect_size=\"26948608\"] \n  21 -> 36 [size =\"26948608\"]\n  21 -> 38 [size =\"26948608\"]\n  21 -> 42 [size =\"26948608\"]\n  21 -> 45 [size =\"26948608\"]\n  22 [size=\"66500608\", alpha=\"0.16\", expect_size=\"33250304\"] \n  22 -> 29 [size =\"33250304\"]\n  22 -> 30 [size =\"33250304\"]\n  22 -> 42 [size =\"33250304\"]\n  22 -> 45 [size =\"33250304\"]\n  23 [size=\"41318400\", alpha=\"0.05\", expect_size=\"20659200\"] \n  23 -> 33 [size =\"20659200\"]\n  23 -> 42 [size =\"20659200\"]\n  23 -> 42 [size =\"20659200\"]\n  24 [size=\"89421824\", alpha=\"0.16\", expect_size=\"44710912\"] \n  24 -> 34 [size =\"44710912\"]\n  24 -> 38 [size =\"44710912\"]\n  24 -> 39 [size =\"44710912\"]\n  24 -> 41 [size =\"44710912\"]\n  24 -> 43 [size =\"44710912\"]\n  25 [size=\"65390592\", alpha=\"0.18\", expect_size=\"32695296\"] \n  25 -> 33 [size =\"32695296\"]\n  25 -> 39 [size =\"32695296\"]\n  25 -> 40 [size =\"32695296\"]\n  25 -> 42 [size =\"32695296\"]\n  25 -> 44 [size =\"32695296\"]\n  25 -> 45 [size =\"32695296\"]\n  26 [size=\"48617472\", alpha=\"0.11\", expect_size=\"24308736\"] \n  26 -> 30 [size =\"24308736\"]\n  26 -> 31 [size =\"24308736\"]\n  26 -> 36 [size =\"24308736\"]\n  26 -> 38 [size =\"24308736\"]\n  26 -> 39 [size =\"24308736\"]\n  26 -> 41 [size =\"24308736\"]\n  27 [size=\"12525568\", alpha=\"0.07\", expect_size=\"6262784\"] \n  27 -> 30 [size =\"6262784\"]\n  27 -> 31 [size =\"6262784\"]\n  27 -> 36 [size =\"6262784\"]\n  27 -> 39 [size =\"6262784\"]\n  27 -> 43 [size =\"6262784\"]\n  27 -> 45 [size =\"6262784\"]\n  28 [size=\"73744384\", alpha=\"0.13\", expect_size=\"36872192\"] \n  28 -> 29 [size =\"36872192\"]\n  28 -> 30 [size =\"36872192\"]\n  28 -> 31 [size =\"36872192\"]\n  28 -> 36 [size =\"36872192\"]\n  28 -> 38 [size =\"36872192\"]\n  28 -> 42 [size =\"36872192\"]\n  28 -> 43 [size =\"36872192\"]\n  29 [size=\"33855488\", alpha=\"0.16\", expect_size=\"16927744\"] \n  30 [size=\"23592960\", alpha=\"0.01\", expect_size=\"11796480\"] \n  31 [size=\"88281088\", alpha=\"0.09\", expect_size=\"44140544\"] \n  32 [size=\"28274688\", alpha=\"0.10\", expect_size=\"14137344\"] \n  33 [size=\"10915840\", alpha=\"0.13\", expect_size=\"5457920\"] \n  34 [size=\"35534848\", alpha=\"0.05\", expect_size=\"17767424\"] \n  35 [size=\"17952768\", alpha=\"0.14\", expect_size=\"8976384\"] \n  36 [size=\"104345600\", alpha=\"0.14\", expect_size=\"52172800\"] \n  37 [size=\"61630464\", alpha=\"0.06\", expect_size=\"30815232\"] \n  38 [size=\"92438528\", alpha=\"0.02\", expect_size=\"46219264\"] \n  39 [size=\"57411584\", alpha=\"0.17\", expect_size=\"28705792\"] \n  40 [size=\"40251392\", alpha=\"0.04\", expect_size=\"20125696\"] \n  41 [size=\"44210176\", alpha=\"0.00\", expect_size=\"22105088\"] \n  42 [size=\"87185408\", alpha=\"0.08\", expect_size=\"43592704\"] \n  43 [size=\"39942144\", alpha=\"0.03\", expect_size=\"19971072\"] \n  44 [size=\"100579328\", alpha=\"0.14\", expect_size=\"50289664\"] \n  45 [size=\"28043264\", alpha=\"0.17\", expect_size=\"14021632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70753280\", alpha=\"0.06\", expect_size=\"28301312\"] \n  1 -> 30 [size =\"28301312\"]\n  1 -> 31 [size =\"28301312\"]\n  1 -> 35 [size =\"28301312\"]\n  1 -> 36 [size =\"28301312\"]\n  1 -> 37 [size =\"28301312\"]\n  1 -> 44 [size =\"28301312\"]\n  2 [size=\"38297600\", alpha=\"0.01\", expect_size=\"15319040\"] \n  2 -> 34 [size =\"15319040\"]\n  2 -> 36 [size =\"15319040\"]\n  2 -> 40 [size =\"15319040\"]\n  3 [size=\"84180480\", alpha=\"0.07\", expect_size=\"33672192\"] \n  3 -> 36 [size =\"33672192\"]\n  3 -> 40 [size =\"33672192\"]\n  3 -> 44 [size =\"33672192\"]\n  4 [size=\"63846400\", alpha=\"0.11\", expect_size=\"25538560\"] \n  4 -> 32 [size =\"25538560\"]\n  4 -> 37 [size =\"25538560\"]\n  4 -> 39 [size =\"25538560\"]\n  4 -> 41 [size =\"25538560\"]\n  4 -> 43 [size =\"25538560\"]\n  5 [size=\"16680960\", alpha=\"0.10\", expect_size=\"6672384\"] \n  5 -> 31 [size =\"6672384\"]\n  5 -> 32 [size =\"6672384\"]\n  5 -> 33 [size =\"6672384\"]\n  5 -> 34 [size =\"6672384\"]\n  5 -> 37 [size =\"6672384\"]\n  5 -> 42 [size =\"6672384\"]\n  5 -> 43 [size =\"6672384\"]\n  6 [size=\"19793920\", alpha=\"0.18\", expect_size=\"7917568\"] \n  6 -> 32 [size =\"7917568\"]\n  6 -> 32 [size =\"7917568\"]\n  6 -> 33 [size =\"7917568\"]\n  6 -> 34 [size =\"7917568\"]\n  6 -> 37 [size =\"7917568\"]\n  6 -> 44 [size =\"7917568\"]\n  7 [size=\"106245120\", alpha=\"0.09\", expect_size=\"42498048\"] \n  7 -> 31 [size =\"42498048\"]\n  7 -> 32 [size =\"42498048\"]\n  7 -> 36 [size =\"42498048\"]\n  7 -> 42 [size =\"42498048\"]\n  7 -> 44 [size =\"42498048\"]\n  8 [size=\"44139520\", alpha=\"0.15\", expect_size=\"17655808\"] \n  8 -> 31 [size =\"17655808\"]\n  8 -> 36 [size =\"17655808\"]\n  8 -> 41 [size =\"17655808\"]\n  8 -> 42 [size =\"17655808\"]\n  8 -> 44 [size =\"17655808\"]\n  9 [size=\"48926720\", alpha=\"0.06\", expect_size=\"19570688\"] \n  9 -> 32 [size =\"19570688\"]\n  9 -> 35 [size =\"19570688\"]\n  9 -> 40 [size =\"19570688\"]\n  9 -> 42 [size =\"19570688\"]\n  9 -> 44 [size =\"19570688\"]\n  10 [size=\"31866880\", alpha=\"0.15\", expect_size=\"12746752\"] \n  10 -> 30 [size =\"12746752\"]\n  10 -> 31 [size =\"12746752\"]\n  10 -> 32 [size =\"12746752\"]\n  10 -> 35 [size =\"12746752\"]\n  10 -> 44 [size =\"12746752\"]\n  11 [size=\"29626880\", alpha=\"0.03\", expect_size=\"11850752\"] \n  11 -> 31 [size =\"11850752\"]\n  11 -> 34 [size =\"11850752\"]\n  11 -> 39 [size =\"11850752\"]\n  11 -> 43 [size =\"11850752\"]\n  11 -> 44 [size =\"11850752\"]\n  12 [size=\"66024960\", alpha=\"0.10\", expect_size=\"26409984\"] \n  12 -> 31 [size =\"26409984\"]\n  12 -> 33 [size =\"26409984\"]\n  12 -> 34 [size =\"26409984\"]\n  12 -> 35 [size =\"26409984\"]\n  12 -> 41 [size =\"26409984\"]\n  12 -> 44 [size =\"26409984\"]\n  13 [size=\"72896000\", alpha=\"0.09\", expect_size=\"29158400\"] \n  13 -> 33 [size =\"29158400\"]\n  13 -> 35 [size =\"29158400\"]\n  13 -> 43 [size =\"29158400\"]\n  13 -> 44 [size =\"29158400\"]\n  13 -> 45 [size =\"29158400\"]\n  14 [size=\"115944960\", alpha=\"0.09\", expect_size=\"46377984\"] \n  14 -> 31 [size =\"46377984\"]\n  14 -> 39 [size =\"46377984\"]\n  14 -> 42 [size =\"46377984\"]\n  14 -> 44 [size =\"46377984\"]\n  15 [size=\"60733440\", alpha=\"0.19\", expect_size=\"24293376\"] \n  15 -> 36 [size =\"24293376\"]\n  15 -> 41 [size =\"24293376\"]\n  15 -> 42 [size =\"24293376\"]\n  16 [size=\"122462720\", alpha=\"0.03\", expect_size=\"48985088\"] \n  16 -> 32 [size =\"48985088\"]\n  16 -> 34 [size =\"48985088\"]\n  16 -> 39 [size =\"48985088\"]\n  16 -> 41 [size =\"48985088\"]\n  16 -> 42 [size =\"48985088\"]\n  16 -> 44 [size =\"48985088\"]\n  17 [size=\"110389760\", alpha=\"0.06\", expect_size=\"44155904\"] \n  17 -> 32 [size =\"44155904\"]\n  17 -> 34 [size =\"44155904\"]\n  17 -> 36 [size =\"44155904\"]\n  17 -> 37 [size =\"44155904\"]\n  17 -> 39 [size =\"44155904\"]\n  17 -> 40 [size =\"44155904\"]\n  17 -> 41 [size =\"44155904\"]\n  17 -> 42 [size =\"44155904\"]\n  18 [size=\"47869440\", alpha=\"0.03\", expect_size=\"19147776\"] \n  18 -> 32 [size =\"19147776\"]\n  19 [size=\"18874880\", alpha=\"0.17\", expect_size=\"7549952\"] \n  19 -> 30 [size =\"7549952\"]\n  19 -> 31 [size =\"7549952\"]\n  19 -> 32 [size =\"7549952\"]\n  19 -> 34 [size =\"7549952\"]\n  19 -> 36 [size =\"7549952\"]\n  19 -> 37 [size =\"7549952\"]\n  19 -> 41 [size =\"7549952\"]\n  20 [size=\"54348800\", alpha=\"0.08\", expect_size=\"21739520\"] \n  20 -> 31 [size =\"21739520\"]\n  20 -> 36 [size =\"21739520\"]\n  20 -> 37 [size =\"21739520\"]\n  21 [size=\"27125760\", alpha=\"0.08\", expect_size=\"10850304\"] \n  21 -> 31 [size =\"10850304\"]\n  21 -> 34 [size =\"10850304\"]\n  21 -> 39 [size =\"10850304\"]\n  22 [size=\"47467520\", alpha=\"0.12\", expect_size=\"18987008\"] \n  22 -> 30 [size =\"18987008\"]\n  22 -> 33 [size =\"18987008\"]\n  22 -> 34 [size =\"18987008\"]\n  22 -> 35 [size =\"18987008\"]\n  22 -> 36 [size =\"18987008\"]\n  22 -> 42 [size =\"18987008\"]\n  22 -> 43 [size =\"18987008\"]\n  22 -> 44 [size =\"18987008\"]\n  23 [size=\"105635840\", alpha=\"0.09\", expect_size=\"42254336\"] \n  23 -> 33 [size =\"42254336\"]\n  23 -> 36 [size =\"42254336\"]\n  23 -> 37 [size =\"42254336\"]\n  23 -> 39 [size =\"42254336\"]\n  23 -> 42 [size =\"42254336\"]\n  24 [size=\"39306240\", alpha=\"0.14\", expect_size=\"15722496\"] \n  24 -> 35 [size =\"15722496\"]\n  24 -> 44 [size =\"15722496\"]\n  25 [size=\"95267840\", alpha=\"0.20\", expect_size=\"38107136\"] \n  25 -> 33 [size =\"38107136\"]\n  25 -> 35 [size =\"38107136\"]\n  25 -> 37 [size =\"38107136\"]\n  25 -> 39 [size =\"38107136\"]\n  26 [size=\"91563520\", alpha=\"0.07\", expect_size=\"36625408\"] \n  26 -> 36 [size =\"36625408\"]\n  26 -> 39 [size =\"36625408\"]\n  26 -> 41 [size =\"36625408\"]\n  26 -> 42 [size =\"36625408\"]\n  26 -> 44 [size =\"36625408\"]\n  27 [size=\"109015040\", alpha=\"0.09\", expect_size=\"43606016\"] \n  27 -> 31 [size =\"43606016\"]\n  27 -> 33 [size =\"43606016\"]\n  27 -> 35 [size =\"43606016\"]\n  27 -> 36 [size =\"43606016\"]\n  27 -> 38 [size =\"43606016\"]\n  27 -> 39 [size =\"43606016\"]\n  27 -> 42 [size =\"43606016\"]\n  27 -> 43 [size =\"43606016\"]\n  27 -> 45 [size =\"43606016\"]\n  28 [size=\"24634880\", alpha=\"0.17\", expect_size=\"9853952\"] \n  28 -> 31 [size =\"9853952\"]\n  28 -> 36 [size =\"9853952\"]\n  28 -> 39 [size =\"9853952\"]\n  28 -> 40 [size =\"9853952\"]\n  28 -> 44 [size =\"9853952\"]\n  29 [size=\"44574720\", alpha=\"0.11\", expect_size=\"17829888\"] \n  29 -> 36 [size =\"17829888\"]\n  29 -> 39 [size =\"17829888\"]\n  29 -> 43 [size =\"17829888\"]\n  30 [size=\"29209600\", alpha=\"0.08\", expect_size=\"11683840\"] \n  31 [size=\"75322880\", alpha=\"0.08\", expect_size=\"30129152\"] \n  32 [size=\"122595840\", alpha=\"0.17\", expect_size=\"49038336\"] \n  33 [size=\"78256640\", alpha=\"0.16\", expect_size=\"31302656\"] \n  34 [size=\"13378560\", alpha=\"0.13\", expect_size=\"5351424\"] \n  35 [size=\"96670720\", alpha=\"0.18\", expect_size=\"38668288\"] \n  36 [size=\"95777280\", alpha=\"0.01\", expect_size=\"38310912\"] \n  37 [size=\"17387520\", alpha=\"0.00\", expect_size=\"6955008\"] \n  38 [size=\"72606720\", alpha=\"0.06\", expect_size=\"29042688\"] \n  39 [size=\"56535040\", alpha=\"0.12\", expect_size=\"22614016\"] \n  40 [size=\"122964480\", alpha=\"0.06\", expect_size=\"49185792\"] \n  41 [size=\"54720000\", alpha=\"0.02\", expect_size=\"21888000\"] \n  42 [size=\"104256000\", alpha=\"0.03\", expect_size=\"41702400\"] \n  43 [size=\"88563200\", alpha=\"0.01\", expect_size=\"35425280\"] \n  44 [size=\"67425280\", alpha=\"0.03\", expect_size=\"26970112\"] \n  45 [size=\"25722880\", alpha=\"0.18\", expect_size=\"10289152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81004544\", alpha=\"0.03\", expect_size=\"40502272\"] \n  1 -> 7 [size =\"40502272\"]\n  1 -> 8 [size =\"40502272\"]\n  1 -> 9 [size =\"40502272\"]\n  2 [size=\"58202112\", alpha=\"0.08\", expect_size=\"29101056\"] \n  3 [size=\"64835584\", alpha=\"0.14\", expect_size=\"32417792\"] \n  3 -> 8 [size =\"32417792\"]\n  4 [size=\"97617920\", alpha=\"0.07\", expect_size=\"48808960\"] \n  4 -> 5 [size =\"48808960\"]\n  4 -> 6 [size =\"48808960\"]\n  5 [size=\"104138752\", alpha=\"0.14\", expect_size=\"52069376\"] \n  6 [size=\"30115840\", alpha=\"0.19\", expect_size=\"15057920\"] \n  7 [size=\"83048448\", alpha=\"0.03\", expect_size=\"41524224\"] \n  7 -> 10 [size =\"41524224\"]\n  7 -> 13 [size =\"41524224\"]\n  7 -> 14 [size =\"41524224\"]\n  8 [size=\"17371136\", alpha=\"0.04\", expect_size=\"8685568\"] \n  8 -> 10 [size =\"8685568\"]\n  8 -> 12 [size =\"8685568\"]\n  8 -> 13 [size =\"8685568\"]\n  9 [size=\"33695744\", alpha=\"0.05\", expect_size=\"16847872\"] \n  9 -> 11 [size =\"16847872\"]\n  9 -> 12 [size =\"16847872\"]\n  9 -> 15 [size =\"16847872\"]\n  10 [size=\"47292416\", alpha=\"0.07\", expect_size=\"23646208\"] \n  11 [size=\"35864576\", alpha=\"0.04\", expect_size=\"17932288\"] \n  11 -> 16 [size =\"17932288\"]\n  12 [size=\"48103424\", alpha=\"0.12\", expect_size=\"24051712\"] \n  12 -> 19 [size =\"24051712\"]\n  13 [size=\"83935232\", alpha=\"0.03\", expect_size=\"41967616\"] \n  13 -> 18 [size =\"41967616\"]\n  14 [size=\"56875008\", alpha=\"0.07\", expect_size=\"28437504\"] \n  14 -> 17 [size =\"28437504\"]\n  14 -> 18 [size =\"28437504\"]\n  14 -> 19 [size =\"28437504\"]\n  15 [size=\"91424768\", alpha=\"0.04\", expect_size=\"45712384\"] \n  15 -> 17 [size =\"45712384\"]\n  15 -> 18 [size =\"45712384\"]\n  15 -> 19 [size =\"45712384\"]\n  16 [size=\"63252480\", alpha=\"0.16\", expect_size=\"31626240\"] \n  16 -> 20 [size =\"31626240\"]\n  17 [size=\"60628992\", alpha=\"0.10\", expect_size=\"30314496\"] \n  17 -> 20 [size =\"30314496\"]\n  17 -> 21 [size =\"30314496\"]\n  17 -> 22 [size =\"30314496\"]\n  17 -> 23 [size =\"30314496\"]\n  18 [size=\"75231232\", alpha=\"0.17\", expect_size=\"37615616\"] \n  18 -> 21 [size =\"37615616\"]\n  18 -> 22 [size =\"37615616\"]\n  18 -> 22 [size =\"37615616\"]\n  18 -> 23 [size =\"37615616\"]\n  19 [size=\"93618176\", alpha=\"0.06\", expect_size=\"46809088\"] \n  19 -> 20 [size =\"46809088\"]\n  19 -> 21 [size =\"46809088\"]\n  19 -> 23 [size =\"46809088\"]\n  20 [size=\"21274624\", alpha=\"0.20\", expect_size=\"10637312\"] \n  21 [size=\"53587968\", alpha=\"0.09\", expect_size=\"26793984\"] \n  21 -> 27 [size =\"26793984\"]\n  22 [size=\"70164480\", alpha=\"0.07\", expect_size=\"35082240\"] \n  22 -> 24 [size =\"35082240\"]\n  22 -> 26 [size =\"35082240\"]\n  22 -> 27 [size =\"35082240\"]\n  23 [size=\"30693376\", alpha=\"0.17\", expect_size=\"15346688\"] \n  23 -> 24 [size =\"15346688\"]\n  23 -> 25 [size =\"15346688\"]\n  23 -> 26 [size =\"15346688\"]\n  23 -> 27 [size =\"15346688\"]\n  24 [size=\"43780096\", alpha=\"0.06\", expect_size=\"21890048\"] \n  24 -> 28 [size =\"21890048\"]\n  24 -> 29 [size =\"21890048\"]\n  24 -> 30 [size =\"21890048\"]\n  25 [size=\"78993408\", alpha=\"0.15\", expect_size=\"39496704\"] \n  25 -> 29 [size =\"39496704\"]\n  25 -> 30 [size =\"39496704\"]\n  26 [size=\"98222080\", alpha=\"0.07\", expect_size=\"49111040\"] \n  26 -> 31 [size =\"49111040\"]\n  27 [size=\"77438976\", alpha=\"0.15\", expect_size=\"38719488\"] \n  27 -> 28 [size =\"38719488\"]\n  27 -> 30 [size =\"38719488\"]\n  28 [size=\"31576064\", alpha=\"0.05\", expect_size=\"15788032\"] \n  28 -> 32 [size =\"15788032\"]\n  28 -> 34 [size =\"15788032\"]\n  29 [size=\"16310272\", alpha=\"0.19\", expect_size=\"8155136\"] \n  29 -> 35 [size =\"8155136\"]\n  30 [size=\"45840384\", alpha=\"0.02\", expect_size=\"22920192\"] \n  30 -> 34 [size =\"22920192\"]\n  31 [size=\"45408256\", alpha=\"0.09\", expect_size=\"22704128\"] \n  31 -> 32 [size =\"22704128\"]\n  31 -> 33 [size =\"22704128\"]\n  31 -> 34 [size =\"22704128\"]\n  31 -> 35 [size =\"22704128\"]\n  32 [size=\"85536768\", alpha=\"0.05\", expect_size=\"42768384\"] \n  32 -> 38 [size =\"42768384\"]\n  32 -> 39 [size =\"42768384\"]\n  33 [size=\"25194496\", alpha=\"0.16\", expect_size=\"12597248\"] \n  33 -> 36 [size =\"12597248\"]\n  33 -> 37 [size =\"12597248\"]\n  33 -> 39 [size =\"12597248\"]\n  34 [size=\"13109248\", alpha=\"0.17\", expect_size=\"6554624\"] \n  34 -> 36 [size =\"6554624\"]\n  34 -> 37 [size =\"6554624\"]\n  34 -> 39 [size =\"6554624\"]\n  35 [size=\"42037248\", alpha=\"0.15\", expect_size=\"21018624\"] \n  35 -> 38 [size =\"21018624\"]\n  36 [size=\"16893952\", alpha=\"0.05\", expect_size=\"8446976\"] \n  36 -> 40 [size =\"8446976\"]\n  36 -> 41 [size =\"8446976\"]\n  36 -> 43 [size =\"8446976\"]\n  37 [size=\"51681280\", alpha=\"0.05\", expect_size=\"25840640\"] \n  37 -> 40 [size =\"25840640\"]\n  37 -> 42 [size =\"25840640\"]\n  38 [size=\"30218240\", alpha=\"0.18\", expect_size=\"15109120\"] \n  38 -> 40 [size =\"15109120\"]\n  38 -> 41 [size =\"15109120\"]\n  38 -> 42 [size =\"15109120\"]\n  39 [size=\"53764096\", alpha=\"0.10\", expect_size=\"26882048\"] \n  39 -> 43 [size =\"26882048\"]\n  40 [size=\"51159040\", alpha=\"0.03\", expect_size=\"25579520\"] \n  40 -> 44 [size =\"25579520\"]\n  40 -> 45 [size =\"25579520\"]\n  41 [size=\"59209728\", alpha=\"0.06\", expect_size=\"29604864\"] \n  42 [size=\"103299072\", alpha=\"0.01\", expect_size=\"51649536\"] \n  42 -> 45 [size =\"51649536\"]\n  43 [size=\"32299008\", alpha=\"0.01\", expect_size=\"16149504\"] \n  43 -> 44 [size =\"16149504\"]\n  44 [size=\"14034944\", alpha=\"0.08\", expect_size=\"7017472\"] \n  45 [size=\"94894080\", alpha=\"0.09\", expect_size=\"47447040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65365333\", alpha=\"0.18\", expect_size=\"19609600\"] \n  1 -> 20 [size =\"19609600\"]\n  1 -> 25 [size =\"19609600\"]\n  1 -> 27 [size =\"19609600\"]\n  1 -> 33 [size =\"19609600\"]\n  1 -> 34 [size =\"19609600\"]\n  1 -> 36 [size =\"19609600\"]\n  1 -> 40 [size =\"19609600\"]\n  1 -> 41 [size =\"19609600\"]\n  1 -> 42 [size =\"19609600\"]\n  1 -> 44 [size =\"19609600\"]\n  2 [size=\"102174720\", alpha=\"0.17\", expect_size=\"30652416\"] \n  2 -> 19 [size =\"30652416\"]\n  2 -> 20 [size =\"30652416\"]\n  2 -> 22 [size =\"30652416\"]\n  2 -> 23 [size =\"30652416\"]\n  2 -> 27 [size =\"30652416\"]\n  2 -> 28 [size =\"30652416\"]\n  2 -> 29 [size =\"30652416\"]\n  2 -> 34 [size =\"30652416\"]\n  2 -> 35 [size =\"30652416\"]\n  2 -> 36 [size =\"30652416\"]\n  2 -> 37 [size =\"30652416\"]\n  2 -> 38 [size =\"30652416\"]\n  2 -> 41 [size =\"30652416\"]\n  2 -> 43 [size =\"30652416\"]\n  3 [size=\"85988693\", alpha=\"0.18\", expect_size=\"25796608\"] \n  3 -> 19 [size =\"25796608\"]\n  3 -> 20 [size =\"25796608\"]\n  3 -> 22 [size =\"25796608\"]\n  3 -> 23 [size =\"25796608\"]\n  3 -> 34 [size =\"25796608\"]\n  3 -> 36 [size =\"25796608\"]\n  3 -> 37 [size =\"25796608\"]\n  3 -> 40 [size =\"25796608\"]\n  3 -> 43 [size =\"25796608\"]\n  4 [size=\"159320747\", alpha=\"0.07\", expect_size=\"47796224\"] \n  4 -> 19 [size =\"47796224\"]\n  4 -> 20 [size =\"47796224\"]\n  4 -> 22 [size =\"47796224\"]\n  4 -> 28 [size =\"47796224\"]\n  4 -> 30 [size =\"47796224\"]\n  4 -> 34 [size =\"47796224\"]\n  4 -> 36 [size =\"47796224\"]\n  4 -> 43 [size =\"47796224\"]\n  5 [size=\"171690667\", alpha=\"0.12\", expect_size=\"51507200\"] \n  5 -> 20 [size =\"51507200\"]\n  5 -> 22 [size =\"51507200\"]\n  5 -> 22 [size =\"51507200\"]\n  5 -> 34 [size =\"51507200\"]\n  5 -> 36 [size =\"51507200\"]\n  5 -> 39 [size =\"51507200\"]\n  5 -> 40 [size =\"51507200\"]\n  5 -> 41 [size =\"51507200\"]\n  5 -> 44 [size =\"51507200\"]\n  6 [size=\"39980373\", alpha=\"0.07\", expect_size=\"11994112\"] \n  6 -> 21 [size =\"11994112\"]\n  6 -> 22 [size =\"11994112\"]\n  6 -> 28 [size =\"11994112\"]\n  6 -> 34 [size =\"11994112\"]\n  6 -> 36 [size =\"11994112\"]\n  6 -> 37 [size =\"11994112\"]\n  6 -> 42 [size =\"11994112\"]\n  7 [size=\"131474773\", alpha=\"0.14\", expect_size=\"39442432\"] \n  7 -> 20 [size =\"39442432\"]\n  7 -> 23 [size =\"39442432\"]\n  7 -> 25 [size =\"39442432\"]\n  7 -> 27 [size =\"39442432\"]\n  7 -> 28 [size =\"39442432\"]\n  7 -> 31 [size =\"39442432\"]\n  7 -> 33 [size =\"39442432\"]\n  7 -> 37 [size =\"39442432\"]\n  7 -> 38 [size =\"39442432\"]\n  7 -> 40 [size =\"39442432\"]\n  7 -> 43 [size =\"39442432\"]\n  7 -> 44 [size =\"39442432\"]\n  7 -> 45 [size =\"39442432\"]\n  8 [size=\"173373440\", alpha=\"0.03\", expect_size=\"52012032\"] \n  8 -> 22 [size =\"52012032\"]\n  8 -> 23 [size =\"52012032\"]\n  8 -> 24 [size =\"52012032\"]\n  8 -> 25 [size =\"52012032\"]\n  8 -> 29 [size =\"52012032\"]\n  8 -> 30 [size =\"52012032\"]\n  8 -> 31 [size =\"52012032\"]\n  8 -> 36 [size =\"52012032\"]\n  8 -> 41 [size =\"52012032\"]\n  8 -> 44 [size =\"52012032\"]\n  9 [size=\"106185387\", alpha=\"0.17\", expect_size=\"31855616\"] \n  9 -> 19 [size =\"31855616\"]\n  9 -> 23 [size =\"31855616\"]\n  9 -> 27 [size =\"31855616\"]\n  9 -> 28 [size =\"31855616\"]\n  9 -> 29 [size =\"31855616\"]\n  9 -> 30 [size =\"31855616\"]\n  9 -> 32 [size =\"31855616\"]\n  9 -> 35 [size =\"31855616\"]\n  9 -> 44 [size =\"31855616\"]\n  9 -> 44 [size =\"31855616\"]\n  10 [size=\"24425813\", alpha=\"0.19\", expect_size=\"7327744\"] \n  10 -> 19 [size =\"7327744\"]\n  10 -> 25 [size =\"7327744\"]\n  10 -> 30 [size =\"7327744\"]\n  10 -> 31 [size =\"7327744\"]\n  10 -> 32 [size =\"7327744\"]\n  10 -> 33 [size =\"7327744\"]\n  10 -> 34 [size =\"7327744\"]\n  10 -> 35 [size =\"7327744\"]\n  10 -> 43 [size =\"7327744\"]\n  10 -> 44 [size =\"7327744\"]\n  11 [size=\"18111147\", alpha=\"0.16\", expect_size=\"5433344\"] \n  11 -> 19 [size =\"5433344\"]\n  11 -> 30 [size =\"5433344\"]\n  11 -> 30 [size =\"5433344\"]\n  11 -> 32 [size =\"5433344\"]\n  11 -> 33 [size =\"5433344\"]\n  11 -> 34 [size =\"5433344\"]\n  11 -> 37 [size =\"5433344\"]\n  11 -> 40 [size =\"5433344\"]\n  11 -> 41 [size =\"5433344\"]\n  11 -> 42 [size =\"5433344\"]\n  11 -> 44 [size =\"5433344\"]\n  11 -> 45 [size =\"5433344\"]\n  12 [size=\"161727147\", alpha=\"0.16\", expect_size=\"48518144\"] \n  12 -> 19 [size =\"48518144\"]\n  12 -> 22 [size =\"48518144\"]\n  12 -> 25 [size =\"48518144\"]\n  12 -> 30 [size =\"48518144\"]\n  12 -> 33 [size =\"48518144\"]\n  12 -> 34 [size =\"48518144\"]\n  12 -> 36 [size =\"48518144\"]\n  12 -> 37 [size =\"48518144\"]\n  13 [size=\"134795947\", alpha=\"0.05\", expect_size=\"40438784\"] \n  13 -> 20 [size =\"40438784\"]\n  13 -> 28 [size =\"40438784\"]\n  13 -> 33 [size =\"40438784\"]\n  13 -> 40 [size =\"40438784\"]\n  13 -> 43 [size =\"40438784\"]\n  13 -> 44 [size =\"40438784\"]\n  14 [size=\"122545493\", alpha=\"0.04\", expect_size=\"36763648\"] \n  14 -> 20 [size =\"36763648\"]\n  14 -> 23 [size =\"36763648\"]\n  14 -> 30 [size =\"36763648\"]\n  14 -> 33 [size =\"36763648\"]\n  14 -> 35 [size =\"36763648\"]\n  14 -> 36 [size =\"36763648\"]\n  14 -> 44 [size =\"36763648\"]\n  15 [size=\"19196587\", alpha=\"0.19\", expect_size=\"5758976\"] \n  15 -> 23 [size =\"5758976\"]\n  15 -> 27 [size =\"5758976\"]\n  15 -> 28 [size =\"5758976\"]\n  15 -> 30 [size =\"5758976\"]\n  15 -> 31 [size =\"5758976\"]\n  15 -> 35 [size =\"5758976\"]\n  15 -> 40 [size =\"5758976\"]\n  15 -> 41 [size =\"5758976\"]\n  15 -> 43 [size =\"5758976\"]\n  15 -> 45 [size =\"5758976\"]\n  16 [size=\"115650560\", alpha=\"0.05\", expect_size=\"34695168\"] \n  16 -> 19 [size =\"34695168\"]\n  16 -> 20 [size =\"34695168\"]\n  16 -> 23 [size =\"34695168\"]\n  16 -> 24 [size =\"34695168\"]\n  16 -> 26 [size =\"34695168\"]\n  16 -> 27 [size =\"34695168\"]\n  16 -> 28 [size =\"34695168\"]\n  16 -> 31 [size =\"34695168\"]\n  16 -> 32 [size =\"34695168\"]\n  16 -> 33 [size =\"34695168\"]\n  16 -> 34 [size =\"34695168\"]\n  16 -> 41 [size =\"34695168\"]\n  16 -> 43 [size =\"34695168\"]\n  16 -> 45 [size =\"34695168\"]\n  17 [size=\"173680640\", alpha=\"0.15\", expect_size=\"52104192\"] \n  17 -> 20 [size =\"52104192\"]\n  17 -> 23 [size =\"52104192\"]\n  17 -> 23 [size =\"52104192\"]\n  17 -> 28 [size =\"52104192\"]\n  17 -> 31 [size =\"52104192\"]\n  17 -> 33 [size =\"52104192\"]\n  17 -> 37 [size =\"52104192\"]\n  17 -> 40 [size =\"52104192\"]\n  17 -> 43 [size =\"52104192\"]\n  17 -> 45 [size =\"52104192\"]\n  18 [size=\"124456960\", alpha=\"0.10\", expect_size=\"37337088\"] \n  18 -> 23 [size =\"37337088\"]\n  18 -> 27 [size =\"37337088\"]\n  18 -> 30 [size =\"37337088\"]\n  18 -> 33 [size =\"37337088\"]\n  18 -> 36 [size =\"37337088\"]\n  18 -> 37 [size =\"37337088\"]\n  18 -> 38 [size =\"37337088\"]\n  18 -> 39 [size =\"37337088\"]\n  18 -> 40 [size =\"37337088\"]\n  18 -> 41 [size =\"37337088\"]\n  18 -> 44 [size =\"37337088\"]\n  19 [size=\"144909653\", alpha=\"0.07\", expect_size=\"43472896\"] \n  20 [size=\"122190507\", alpha=\"0.02\", expect_size=\"36657152\"] \n  21 [size=\"118070613\", alpha=\"0.02\", expect_size=\"35421184\"] \n  22 [size=\"86132053\", alpha=\"0.13\", expect_size=\"25839616\"] \n  23 [size=\"51978240\", alpha=\"0.13\", expect_size=\"15593472\"] \n  24 [size=\"88855893\", alpha=\"0.11\", expect_size=\"26656768\"] \n  25 [size=\"116817920\", alpha=\"0.09\", expect_size=\"35045376\"] \n  26 [size=\"105564160\", alpha=\"0.09\", expect_size=\"31669248\"] \n  27 [size=\"147377493\", alpha=\"0.04\", expect_size=\"44213248\"] \n  28 [size=\"104396800\", alpha=\"0.19\", expect_size=\"31319040\"] \n  29 [size=\"23790933\", alpha=\"0.05\", expect_size=\"7137280\"] \n  30 [size=\"80435200\", alpha=\"0.11\", expect_size=\"24130560\"] \n  31 [size=\"92450133\", alpha=\"0.18\", expect_size=\"27735040\"] \n  32 [size=\"107724800\", alpha=\"0.04\", expect_size=\"32317440\"] \n  33 [size=\"53678080\", alpha=\"0.04\", expect_size=\"16103424\"] \n  34 [size=\"156101973\", alpha=\"0.18\", expect_size=\"46830592\"] \n  35 [size=\"84995413\", alpha=\"0.11\", expect_size=\"25498624\"] \n  36 [size=\"151848960\", alpha=\"0.18\", expect_size=\"45554688\"] \n  37 [size=\"64604160\", alpha=\"0.04\", expect_size=\"19381248\"] \n  38 [size=\"94542507\", alpha=\"0.04\", expect_size=\"28362752\"] \n  39 [size=\"82991787\", alpha=\"0.20\", expect_size=\"24897536\"] \n  40 [size=\"118657707\", alpha=\"0.09\", expect_size=\"35597312\"] \n  41 [size=\"51213653\", alpha=\"0.11\", expect_size=\"15364096\"] \n  42 [size=\"38574080\", alpha=\"0.02\", expect_size=\"11572224\"] \n  43 [size=\"67706880\", alpha=\"0.17\", expect_size=\"20312064\"] \n  44 [size=\"98655573\", alpha=\"0.01\", expect_size=\"29596672\"] \n  45 [size=\"79192747\", alpha=\"0.18\", expect_size=\"23757824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168376320\", alpha=\"0.08\", expect_size=\"50512896\"] \n  1 -> 2 [size =\"50512896\"]\n  2 [size=\"113172480\", alpha=\"0.11\", expect_size=\"33951744\"] \n  2 -> 3 [size =\"33951744\"]\n  3 [size=\"88425813\", alpha=\"0.13\", expect_size=\"26527744\"] \n  3 -> 4 [size =\"26527744\"]\n  4 [size=\"41485653\", alpha=\"0.14\", expect_size=\"12445696\"] \n  4 -> 5 [size =\"12445696\"]\n  5 [size=\"32952320\", alpha=\"0.14\", expect_size=\"9885696\"] \n  5 -> 6 [size =\"9885696\"]\n  6 [size=\"131584000\", alpha=\"0.01\", expect_size=\"39475200\"] \n  6 -> 7 [size =\"39475200\"]\n  7 [size=\"37966507\", alpha=\"0.06\", expect_size=\"11389952\"] \n  7 -> 8 [size =\"11389952\"]\n  8 [size=\"144325973\", alpha=\"0.16\", expect_size=\"43297792\"] \n  8 -> 9 [size =\"43297792\"]\n  9 [size=\"78813867\", alpha=\"0.18\", expect_size=\"23644160\"] \n  9 -> 10 [size =\"23644160\"]\n  10 [size=\"159173973\", alpha=\"0.14\", expect_size=\"47752192\"] \n  10 -> 11 [size =\"47752192\"]\n  11 [size=\"149940907\", alpha=\"0.14\", expect_size=\"44982272\"] \n  11 -> 12 [size =\"44982272\"]\n  12 [size=\"55367680\", alpha=\"0.07\", expect_size=\"16610304\"] \n  12 -> 13 [size =\"16610304\"]\n  13 [size=\"144834560\", alpha=\"0.01\", expect_size=\"43450368\"] \n  13 -> 14 [size =\"43450368\"]\n  14 [size=\"87391573\", alpha=\"0.10\", expect_size=\"26217472\"] \n  14 -> 15 [size =\"26217472\"]\n  15 [size=\"38908587\", alpha=\"0.02\", expect_size=\"11672576\"] \n  15 -> 16 [size =\"11672576\"]\n  16 [size=\"148176213\", alpha=\"0.13\", expect_size=\"44452864\"] \n  16 -> 17 [size =\"44452864\"]\n  17 [size=\"152166400\", alpha=\"0.10\", expect_size=\"45649920\"] \n  17 -> 18 [size =\"45649920\"]\n  18 [size=\"43752107\", alpha=\"0.12\", expect_size=\"13125632\"] \n  18 -> 19 [size =\"13125632\"]\n  19 [size=\"168564053\", alpha=\"0.10\", expect_size=\"50569216\"] \n  19 -> 20 [size =\"50569216\"]\n  20 [size=\"150429013\", alpha=\"0.19\", expect_size=\"45128704\"] \n  20 -> 21 [size =\"45128704\"]\n  21 [size=\"104294400\", alpha=\"0.07\", expect_size=\"31288320\"] \n  21 -> 22 [size =\"31288320\"]\n  22 [size=\"54016000\", alpha=\"0.07\", expect_size=\"16204800\"] \n  22 -> 23 [size =\"16204800\"]\n  23 [size=\"110001493\", alpha=\"0.16\", expect_size=\"33000448\"] \n  23 -> 24 [size =\"33000448\"]\n  24 [size=\"121736533\", alpha=\"0.08\", expect_size=\"36520960\"] \n  24 -> 25 [size =\"36520960\"]\n  25 [size=\"40202240\", alpha=\"0.02\", expect_size=\"12060672\"] \n  25 -> 26 [size =\"12060672\"]\n  26 [size=\"58163200\", alpha=\"0.10\", expect_size=\"17448960\"] \n  26 -> 27 [size =\"17448960\"]\n  27 [size=\"160273067\", alpha=\"0.01\", expect_size=\"48081920\"] \n  27 -> 28 [size =\"48081920\"]\n  28 [size=\"79602347\", alpha=\"0.08\", expect_size=\"23880704\"] \n  28 -> 29 [size =\"23880704\"]\n  29 [size=\"173475840\", alpha=\"0.03\", expect_size=\"52042752\"] \n  29 -> 30 [size =\"52042752\"]\n  30 [size=\"96658773\", alpha=\"0.16\", expect_size=\"28997632\"] \n  30 -> 31 [size =\"28997632\"]\n  31 [size=\"87388160\", alpha=\"0.06\", expect_size=\"26216448\"] \n  31 -> 32 [size =\"26216448\"]\n  32 [size=\"139284480\", alpha=\"0.01\", expect_size=\"41785344\"] \n  32 -> 33 [size =\"41785344\"]\n  33 [size=\"33474560\", alpha=\"0.12\", expect_size=\"10042368\"] \n  33 -> 34 [size =\"10042368\"]\n  34 [size=\"155477333\", alpha=\"0.12\", expect_size=\"46643200\"] \n  34 -> 35 [size =\"46643200\"]\n  35 [size=\"57449813\", alpha=\"0.14\", expect_size=\"17234944\"] \n  35 -> 36 [size =\"17234944\"]\n  36 [size=\"69437440\", alpha=\"0.13\", expect_size=\"20831232\"] \n  36 -> 37 [size =\"20831232\"]\n  37 [size=\"148268373\", alpha=\"0.10\", expect_size=\"44480512\"] \n  37 -> 38 [size =\"44480512\"]\n  38 [size=\"157149867\", alpha=\"0.09\", expect_size=\"47144960\"] \n  38 -> 39 [size =\"47144960\"]\n  39 [size=\"65641813\", alpha=\"0.08\", expect_size=\"19692544\"] \n  39 -> 40 [size =\"19692544\"]\n  40 [size=\"92375040\", alpha=\"0.04\", expect_size=\"27712512\"] \n  40 -> 41 [size =\"27712512\"]\n  41 [size=\"64474453\", alpha=\"0.11\", expect_size=\"19342336\"] \n  41 -> 42 [size =\"19342336\"]\n  42 [size=\"114408107\", alpha=\"0.02\", expect_size=\"34322432\"] \n  42 -> 43 [size =\"34322432\"]\n  43 [size=\"122787840\", alpha=\"0.05\", expect_size=\"36836352\"] \n  43 -> 44 [size =\"36836352\"]\n  44 [size=\"59678720\", alpha=\"0.02\", expect_size=\"17903616\"] \n  44 -> 45 [size =\"17903616\"]\n  45 [size=\"152285867\", alpha=\"0.01\", expect_size=\"45685760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86533120\", alpha=\"0.15\", expect_size=\"34613248\"] \n  1 -> 30 [size =\"34613248\"]\n  1 -> 30 [size =\"34613248\"]\n  1 -> 34 [size =\"34613248\"]\n  2 [size=\"103575040\", alpha=\"0.01\", expect_size=\"41430016\"] \n  2 -> 31 [size =\"41430016\"]\n  2 -> 41 [size =\"41430016\"]\n  2 -> 44 [size =\"41430016\"]\n  3 [size=\"70197760\", alpha=\"0.04\", expect_size=\"28079104\"] \n  3 -> 30 [size =\"28079104\"]\n  3 -> 32 [size =\"28079104\"]\n  3 -> 35 [size =\"28079104\"]\n  3 -> 39 [size =\"28079104\"]\n  3 -> 40 [size =\"28079104\"]\n  4 [size=\"112837120\", alpha=\"0.16\", expect_size=\"45134848\"] \n  4 -> 31 [size =\"45134848\"]\n  4 -> 33 [size =\"45134848\"]\n  4 -> 37 [size =\"45134848\"]\n  4 -> 45 [size =\"45134848\"]\n  5 [size=\"36610560\", alpha=\"0.16\", expect_size=\"14644224\"] \n  5 -> 28 [size =\"14644224\"]\n  5 -> 33 [size =\"14644224\"]\n  5 -> 35 [size =\"14644224\"]\n  5 -> 36 [size =\"14644224\"]\n  5 -> 37 [size =\"14644224\"]\n  5 -> 39 [size =\"14644224\"]\n  5 -> 45 [size =\"14644224\"]\n  6 [size=\"74626560\", alpha=\"0.06\", expect_size=\"29850624\"] \n  6 -> 28 [size =\"29850624\"]\n  6 -> 32 [size =\"29850624\"]\n  6 -> 36 [size =\"29850624\"]\n  7 [size=\"130526720\", alpha=\"0.08\", expect_size=\"52210688\"] \n  7 -> 28 [size =\"52210688\"]\n  7 -> 30 [size =\"52210688\"]\n  7 -> 31 [size =\"52210688\"]\n  7 -> 32 [size =\"52210688\"]\n  7 -> 35 [size =\"52210688\"]\n  7 -> 39 [size =\"52210688\"]\n  7 -> 41 [size =\"52210688\"]\n  7 -> 42 [size =\"52210688\"]\n  8 [size=\"108372480\", alpha=\"0.16\", expect_size=\"43348992\"] \n  8 -> 28 [size =\"43348992\"]\n  8 -> 29 [size =\"43348992\"]\n  8 -> 31 [size =\"43348992\"]\n  8 -> 33 [size =\"43348992\"]\n  9 [size=\"92922880\", alpha=\"0.02\", expect_size=\"37169152\"] \n  9 -> 29 [size =\"37169152\"]\n  9 -> 30 [size =\"37169152\"]\n  9 -> 37 [size =\"37169152\"]\n  9 -> 39 [size =\"37169152\"]\n  9 -> 42 [size =\"37169152\"]\n  9 -> 45 [size =\"37169152\"]\n  10 [size=\"111930880\", alpha=\"0.05\", expect_size=\"44772352\"] \n  10 -> 36 [size =\"44772352\"]\n  10 -> 37 [size =\"44772352\"]\n  10 -> 41 [size =\"44772352\"]\n  11 [size=\"68971520\", alpha=\"0.02\", expect_size=\"27588608\"] \n  11 -> 32 [size =\"27588608\"]\n  11 -> 37 [size =\"27588608\"]\n  11 -> 39 [size =\"27588608\"]\n  11 -> 43 [size =\"27588608\"]\n  12 [size=\"41126400\", alpha=\"0.09\", expect_size=\"16450560\"] \n  12 -> 30 [size =\"16450560\"]\n  12 -> 35 [size =\"16450560\"]\n  12 -> 36 [size =\"16450560\"]\n  12 -> 37 [size =\"16450560\"]\n  13 [size=\"45309440\", alpha=\"0.04\", expect_size=\"18123776\"] \n  13 -> 30 [size =\"18123776\"]\n  13 -> 35 [size =\"18123776\"]\n  13 -> 37 [size =\"18123776\"]\n  13 -> 43 [size =\"18123776\"]\n  14 [size=\"68828160\", alpha=\"0.11\", expect_size=\"27531264\"] \n  14 -> 28 [size =\"27531264\"]\n  14 -> 29 [size =\"27531264\"]\n  14 -> 30 [size =\"27531264\"]\n  14 -> 31 [size =\"27531264\"]\n  14 -> 33 [size =\"27531264\"]\n  14 -> 35 [size =\"27531264\"]\n  14 -> 36 [size =\"27531264\"]\n  14 -> 41 [size =\"27531264\"]\n  14 -> 42 [size =\"27531264\"]\n  15 [size=\"44042240\", alpha=\"0.15\", expect_size=\"17616896\"] \n  15 -> 30 [size =\"17616896\"]\n  15 -> 31 [size =\"17616896\"]\n  15 -> 35 [size =\"17616896\"]\n  15 -> 38 [size =\"17616896\"]\n  15 -> 39 [size =\"17616896\"]\n  15 -> 41 [size =\"17616896\"]\n  15 -> 42 [size =\"17616896\"]\n  16 [size=\"17715200\", alpha=\"0.01\", expect_size=\"7086080\"] \n  16 -> 30 [size =\"7086080\"]\n  16 -> 31 [size =\"7086080\"]\n  16 -> 36 [size =\"7086080\"]\n  16 -> 37 [size =\"7086080\"]\n  16 -> 40 [size =\"7086080\"]\n  16 -> 41 [size =\"7086080\"]\n  17 [size=\"55152640\", alpha=\"0.12\", expect_size=\"22061056\"] \n  17 -> 30 [size =\"22061056\"]\n  17 -> 32 [size =\"22061056\"]\n  17 -> 33 [size =\"22061056\"]\n  17 -> 36 [size =\"22061056\"]\n  17 -> 37 [size =\"22061056\"]\n  17 -> 40 [size =\"22061056\"]\n  17 -> 43 [size =\"22061056\"]\n  18 [size=\"100976640\", alpha=\"0.12\", expect_size=\"40390656\"] \n  18 -> 29 [size =\"40390656\"]\n  18 -> 30 [size =\"40390656\"]\n  18 -> 33 [size =\"40390656\"]\n  18 -> 35 [size =\"40390656\"]\n  18 -> 36 [size =\"40390656\"]\n  18 -> 40 [size =\"40390656\"]\n  18 -> 43 [size =\"40390656\"]\n  19 [size=\"74777600\", alpha=\"0.18\", expect_size=\"29911040\"] \n  19 -> 28 [size =\"29911040\"]\n  19 -> 30 [size =\"29911040\"]\n  19 -> 31 [size =\"29911040\"]\n  19 -> 33 [size =\"29911040\"]\n  19 -> 35 [size =\"29911040\"]\n  19 -> 36 [size =\"29911040\"]\n  19 -> 39 [size =\"29911040\"]\n  19 -> 41 [size =\"29911040\"]\n  19 -> 43 [size =\"29911040\"]\n  20 [size=\"87232000\", alpha=\"0.17\", expect_size=\"34892800\"] \n  20 -> 28 [size =\"34892800\"]\n  20 -> 33 [size =\"34892800\"]\n  20 -> 34 [size =\"34892800\"]\n  20 -> 36 [size =\"34892800\"]\n  20 -> 38 [size =\"34892800\"]\n  20 -> 42 [size =\"34892800\"]\n  20 -> 43 [size =\"34892800\"]\n  21 [size=\"115714560\", alpha=\"0.09\", expect_size=\"46285824\"] \n  21 -> 28 [size =\"46285824\"]\n  21 -> 31 [size =\"46285824\"]\n  21 -> 36 [size =\"46285824\"]\n  22 [size=\"128998400\", alpha=\"0.16\", expect_size=\"51599360\"] \n  22 -> 32 [size =\"51599360\"]\n  22 -> 35 [size =\"51599360\"]\n  22 -> 41 [size =\"51599360\"]\n  22 -> 43 [size =\"51599360\"]\n  23 [size=\"62909440\", alpha=\"0.13\", expect_size=\"25163776\"] \n  23 -> 28 [size =\"25163776\"]\n  23 -> 30 [size =\"25163776\"]\n  23 -> 31 [size =\"25163776\"]\n  23 -> 32 [size =\"25163776\"]\n  23 -> 34 [size =\"25163776\"]\n  23 -> 39 [size =\"25163776\"]\n  23 -> 40 [size =\"25163776\"]\n  23 -> 41 [size =\"25163776\"]\n  23 -> 43 [size =\"25163776\"]\n  23 -> 45 [size =\"25163776\"]\n  24 [size=\"87216640\", alpha=\"0.07\", expect_size=\"34886656\"] \n  24 -> 28 [size =\"34886656\"]\n  24 -> 29 [size =\"34886656\"]\n  24 -> 32 [size =\"34886656\"]\n  24 -> 33 [size =\"34886656\"]\n  24 -> 38 [size =\"34886656\"]\n  24 -> 39 [size =\"34886656\"]\n  24 -> 40 [size =\"34886656\"]\n  24 -> 41 [size =\"34886656\"]\n  24 -> 42 [size =\"34886656\"]\n  24 -> 43 [size =\"34886656\"]\n  24 -> 45 [size =\"34886656\"]\n  25 [size=\"34992640\", alpha=\"0.05\", expect_size=\"13997056\"] \n  25 -> 29 [size =\"13997056\"]\n  25 -> 31 [size =\"13997056\"]\n  25 -> 33 [size =\"13997056\"]\n  25 -> 35 [size =\"13997056\"]\n  25 -> 36 [size =\"13997056\"]\n  25 -> 40 [size =\"13997056\"]\n  25 -> 43 [size =\"13997056\"]\n  26 [size=\"124200960\", alpha=\"0.13\", expect_size=\"49680384\"] \n  26 -> 30 [size =\"49680384\"]\n  26 -> 40 [size =\"49680384\"]\n  26 -> 43 [size =\"49680384\"]\n  26 -> 45 [size =\"49680384\"]\n  27 [size=\"14976000\", alpha=\"0.01\", expect_size=\"5990400\"] \n  27 -> 29 [size =\"5990400\"]\n  27 -> 30 [size =\"5990400\"]\n  27 -> 31 [size =\"5990400\"]\n  27 -> 35 [size =\"5990400\"]\n  27 -> 39 [size =\"5990400\"]\n  27 -> 40 [size =\"5990400\"]\n  27 -> 43 [size =\"5990400\"]\n  27 -> 45 [size =\"5990400\"]\n  28 [size=\"84953600\", alpha=\"0.05\", expect_size=\"33981440\"] \n  29 [size=\"38154240\", alpha=\"0.03\", expect_size=\"15261696\"] \n  30 [size=\"23864320\", alpha=\"0.17\", expect_size=\"9545728\"] \n  31 [size=\"124085760\", alpha=\"0.01\", expect_size=\"49634304\"] \n  32 [size=\"58350080\", alpha=\"0.10\", expect_size=\"23340032\"] \n  33 [size=\"35095040\", alpha=\"0.04\", expect_size=\"14038016\"] \n  34 [size=\"111408640\", alpha=\"0.08\", expect_size=\"44563456\"] \n  35 [size=\"33126400\", alpha=\"0.17\", expect_size=\"13250560\"] \n  36 [size=\"59683840\", alpha=\"0.07\", expect_size=\"23873536\"] \n  37 [size=\"16670720\", alpha=\"0.04\", expect_size=\"6668288\"] \n  38 [size=\"21506560\", alpha=\"0.15\", expect_size=\"8602624\"] \n  39 [size=\"51491840\", alpha=\"0.18\", expect_size=\"20596736\"] \n  40 [size=\"68480000\", alpha=\"0.12\", expect_size=\"27392000\"] \n  41 [size=\"53332480\", alpha=\"0.04\", expect_size=\"21332992\"] \n  42 [size=\"61911040\", alpha=\"0.16\", expect_size=\"24764416\"] \n  43 [size=\"122240000\", alpha=\"0.16\", expect_size=\"48896000\"] \n  44 [size=\"30589440\", alpha=\"0.09\", expect_size=\"12235776\"] \n  45 [size=\"78612480\", alpha=\"0.06\", expect_size=\"31444992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57223168\", alpha=\"0.13\", expect_size=\"28611584\"] \n  1 -> 3 [size =\"28611584\"]\n  2 [size=\"55205888\", alpha=\"0.03\", expect_size=\"27602944\"] \n  2 -> 4 [size =\"27602944\"]\n  3 [size=\"12267520\", alpha=\"0.03\", expect_size=\"6133760\"] \n  3 -> 5 [size =\"6133760\"]\n  4 [size=\"28674048\", alpha=\"0.03\", expect_size=\"14337024\"] \n  4 -> 5 [size =\"14337024\"]\n  4 -> 6 [size =\"14337024\"]\n  5 [size=\"33046528\", alpha=\"0.03\", expect_size=\"16523264\"] \n  5 -> 7 [size =\"16523264\"]\n  5 -> 8 [size =\"16523264\"]\n  5 -> 9 [size =\"16523264\"]\n  6 [size=\"89409536\", alpha=\"0.11\", expect_size=\"44704768\"] \n  6 -> 9 [size =\"44704768\"]\n  7 [size=\"34920448\", alpha=\"0.04\", expect_size=\"17460224\"] \n  7 -> 12 [size =\"17460224\"]\n  8 [size=\"61497344\", alpha=\"0.15\", expect_size=\"30748672\"] \n  8 -> 10 [size =\"30748672\"]\n  8 -> 11 [size =\"30748672\"]\n  9 [size=\"17930240\", alpha=\"0.04\", expect_size=\"8965120\"] \n  9 -> 10 [size =\"8965120\"]\n  10 [size=\"72390656\", alpha=\"0.07\", expect_size=\"36195328\"] \n  10 -> 13 [size =\"36195328\"]\n  10 -> 14 [size =\"36195328\"]\n  11 [size=\"34265088\", alpha=\"0.07\", expect_size=\"17132544\"] \n  12 [size=\"96634880\", alpha=\"0.16\", expect_size=\"48317440\"] \n  13 [size=\"17254400\", alpha=\"0.04\", expect_size=\"8627200\"] \n  13 -> 15 [size =\"8627200\"]\n  14 [size=\"29530112\", alpha=\"0.09\", expect_size=\"14765056\"] \n  14 -> 16 [size =\"14765056\"]\n  15 [size=\"43737088\", alpha=\"0.16\", expect_size=\"21868544\"] \n  15 -> 17 [size =\"21868544\"]\n  15 -> 18 [size =\"21868544\"]\n  16 [size=\"58742784\", alpha=\"0.16\", expect_size=\"29371392\"] \n  16 -> 17 [size =\"29371392\"]\n  16 -> 18 [size =\"29371392\"]\n  17 [size=\"18413568\", alpha=\"0.06\", expect_size=\"9206784\"] \n  18 [size=\"39194624\", alpha=\"0.05\", expect_size=\"19597312\"] \n  18 -> 19 [size =\"19597312\"]\n  18 -> 20 [size =\"19597312\"]\n  18 -> 21 [size =\"19597312\"]\n  19 [size=\"16293888\", alpha=\"0.15\", expect_size=\"8146944\"] \n  19 -> 23 [size =\"8146944\"]\n  20 [size=\"34150400\", alpha=\"0.01\", expect_size=\"17075200\"] \n  20 -> 22 [size =\"17075200\"]\n  20 -> 23 [size =\"17075200\"]\n  21 [size=\"69167104\", alpha=\"0.17\", expect_size=\"34583552\"] \n  21 -> 22 [size =\"34583552\"]\n  22 [size=\"103417856\", alpha=\"0.02\", expect_size=\"51708928\"] \n  22 -> 24 [size =\"51708928\"]\n  22 -> 25 [size =\"51708928\"]\n  23 [size=\"85626880\", alpha=\"0.08\", expect_size=\"42813440\"] \n  23 -> 24 [size =\"42813440\"]\n  24 [size=\"102772736\", alpha=\"0.18\", expect_size=\"51386368\"] \n  24 -> 26 [size =\"51386368\"]\n  24 -> 27 [size =\"51386368\"]\n  25 [size=\"50067456\", alpha=\"0.12\", expect_size=\"25033728\"] \n  25 -> 26 [size =\"25033728\"]\n  25 -> 27 [size =\"25033728\"]\n  25 -> 28 [size =\"25033728\"]\n  26 [size=\"31700992\", alpha=\"0.04\", expect_size=\"15850496\"] \n  26 -> 29 [size =\"15850496\"]\n  27 [size=\"13660160\", alpha=\"0.20\", expect_size=\"6830080\"] \n  27 -> 30 [size =\"6830080\"]\n  27 -> 31 [size =\"6830080\"]\n  28 [size=\"42905600\", alpha=\"0.07\", expect_size=\"21452800\"] \n  29 [size=\"67213312\", alpha=\"0.16\", expect_size=\"33606656\"] \n  29 -> 32 [size =\"33606656\"]\n  30 [size=\"42657792\", alpha=\"0.18\", expect_size=\"21328896\"] \n  30 -> 34 [size =\"21328896\"]\n  31 [size=\"46770176\", alpha=\"0.05\", expect_size=\"23385088\"] \n  31 -> 32 [size =\"23385088\"]\n  31 -> 33 [size =\"23385088\"]\n  32 [size=\"31913984\", alpha=\"0.10\", expect_size=\"15956992\"] \n  32 -> 35 [size =\"15956992\"]\n  33 [size=\"42809344\", alpha=\"0.16\", expect_size=\"21404672\"] \n  33 -> 35 [size =\"21404672\"]\n  33 -> 36 [size =\"21404672\"]\n  34 [size=\"81240064\", alpha=\"0.07\", expect_size=\"40620032\"] \n  35 [size=\"71024640\", alpha=\"0.05\", expect_size=\"35512320\"] \n  35 -> 38 [size =\"35512320\"]\n  35 -> 39 [size =\"35512320\"]\n  36 [size=\"34719744\", alpha=\"0.13\", expect_size=\"17359872\"] \n  36 -> 37 [size =\"17359872\"]\n  36 -> 38 [size =\"17359872\"]\n  36 -> 39 [size =\"17359872\"]\n  37 [size=\"51255296\", alpha=\"0.02\", expect_size=\"25627648\"] \n  37 -> 40 [size =\"25627648\"]\n  37 -> 41 [size =\"25627648\"]\n  37 -> 42 [size =\"25627648\"]\n  38 [size=\"50692096\", alpha=\"0.18\", expect_size=\"25346048\"] \n  38 -> 40 [size =\"25346048\"]\n  39 [size=\"84045824\", alpha=\"0.15\", expect_size=\"42022912\"] \n  39 -> 40 [size =\"42022912\"]\n  39 -> 42 [size =\"42022912\"]\n  40 [size=\"64385024\", alpha=\"0.17\", expect_size=\"32192512\"] \n  40 -> 43 [size =\"32192512\"]\n  41 [size=\"53620736\", alpha=\"0.11\", expect_size=\"26810368\"] \n  42 [size=\"75532288\", alpha=\"0.05\", expect_size=\"37766144\"] \n  42 -> 44 [size =\"37766144\"]\n  43 [size=\"27523072\", alpha=\"0.15\", expect_size=\"13761536\"] \n  44 [size=\"10735616\", alpha=\"0.05\", expect_size=\"5367808\"] \n  44 -> 45 [size =\"5367808\"]\n  45 [size=\"44218368\", alpha=\"0.03\", expect_size=\"22109184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119618560\", alpha=\"0.05\", expect_size=\"47847424\"] \n  1 -> 2 [size =\"47847424\"]\n  2 [size=\"86200320\", alpha=\"0.01\", expect_size=\"34480128\"] \n  2 -> 3 [size =\"34480128\"]\n  3 [size=\"44282880\", alpha=\"0.19\", expect_size=\"17713152\"] \n  3 -> 4 [size =\"17713152\"]\n  4 [size=\"126947840\", alpha=\"0.19\", expect_size=\"50779136\"] \n  4 -> 5 [size =\"50779136\"]\n  5 [size=\"103592960\", alpha=\"0.06\", expect_size=\"41437184\"] \n  5 -> 6 [size =\"41437184\"]\n  6 [size=\"92088320\", alpha=\"0.19\", expect_size=\"36835328\"] \n  6 -> 7 [size =\"36835328\"]\n  7 [size=\"72696320\", alpha=\"0.07\", expect_size=\"29078528\"] \n  7 -> 8 [size =\"29078528\"]\n  8 [size=\"54607360\", alpha=\"0.17\", expect_size=\"21842944\"] \n  8 -> 9 [size =\"21842944\"]\n  9 [size=\"106278400\", alpha=\"0.17\", expect_size=\"42511360\"] \n  9 -> 10 [size =\"42511360\"]\n  10 [size=\"95398400\", alpha=\"0.03\", expect_size=\"38159360\"] \n  10 -> 11 [size =\"38159360\"]\n  11 [size=\"101329920\", alpha=\"0.20\", expect_size=\"40531968\"] \n  11 -> 12 [size =\"40531968\"]\n  12 [size=\"129620480\", alpha=\"0.15\", expect_size=\"51848192\"] \n  12 -> 13 [size =\"51848192\"]\n  13 [size=\"19184640\", alpha=\"0.17\", expect_size=\"7673856\"] \n  13 -> 14 [size =\"7673856\"]\n  14 [size=\"13114880\", alpha=\"0.00\", expect_size=\"5245952\"] \n  14 -> 15 [size =\"5245952\"]\n  15 [size=\"122987520\", alpha=\"0.14\", expect_size=\"49195008\"] \n  15 -> 16 [size =\"49195008\"]\n  16 [size=\"42117120\", alpha=\"0.16\", expect_size=\"16846848\"] \n  16 -> 17 [size =\"16846848\"]\n  17 [size=\"37442560\", alpha=\"0.08\", expect_size=\"14977024\"] \n  17 -> 18 [size =\"14977024\"]\n  18 [size=\"77946880\", alpha=\"0.07\", expect_size=\"31178752\"] \n  18 -> 19 [size =\"31178752\"]\n  19 [size=\"62658560\", alpha=\"0.08\", expect_size=\"25063424\"] \n  19 -> 20 [size =\"25063424\"]\n  20 [size=\"44692480\", alpha=\"0.09\", expect_size=\"17876992\"] \n  20 -> 21 [size =\"17876992\"]\n  21 [size=\"64168960\", alpha=\"0.08\", expect_size=\"25667584\"] \n  21 -> 22 [size =\"25667584\"]\n  22 [size=\"61573120\", alpha=\"0.19\", expect_size=\"24629248\"] \n  22 -> 23 [size =\"24629248\"]\n  23 [size=\"34744320\", alpha=\"0.16\", expect_size=\"13897728\"] \n  23 -> 24 [size =\"13897728\"]\n  24 [size=\"15390720\", alpha=\"0.12\", expect_size=\"6156288\"] \n  24 -> 25 [size =\"6156288\"]\n  25 [size=\"17433600\", alpha=\"0.03\", expect_size=\"6973440\"] \n  25 -> 26 [size =\"6973440\"]\n  26 [size=\"102412800\", alpha=\"0.08\", expect_size=\"40965120\"] \n  26 -> 27 [size =\"40965120\"]\n  27 [size=\"79733760\", alpha=\"0.02\", expect_size=\"31893504\"] \n  27 -> 28 [size =\"31893504\"]\n  28 [size=\"126277120\", alpha=\"0.04\", expect_size=\"50510848\"] \n  28 -> 29 [size =\"50510848\"]\n  29 [size=\"48204800\", alpha=\"0.02\", expect_size=\"19281920\"] \n  29 -> 30 [size =\"19281920\"]\n  30 [size=\"95390720\", alpha=\"0.13\", expect_size=\"38156288\"] \n  30 -> 31 [size =\"38156288\"]\n  31 [size=\"29888000\", alpha=\"0.20\", expect_size=\"11955200\"] \n  31 -> 32 [size =\"11955200\"]\n  32 [size=\"76172800\", alpha=\"0.06\", expect_size=\"30469120\"] \n  32 -> 33 [size =\"30469120\"]\n  33 [size=\"71411200\", alpha=\"0.13\", expect_size=\"28564480\"] \n  33 -> 34 [size =\"28564480\"]\n  34 [size=\"46778880\", alpha=\"0.01\", expect_size=\"18711552\"] \n  34 -> 35 [size =\"18711552\"]\n  35 [size=\"116119040\", alpha=\"0.07\", expect_size=\"46447616\"] \n  35 -> 36 [size =\"46447616\"]\n  36 [size=\"16023040\", alpha=\"0.18\", expect_size=\"6409216\"] \n  36 -> 37 [size =\"6409216\"]\n  37 [size=\"61401600\", alpha=\"0.13\", expect_size=\"24560640\"] \n  37 -> 38 [size =\"24560640\"]\n  38 [size=\"75916800\", alpha=\"0.18\", expect_size=\"30366720\"] \n  38 -> 39 [size =\"30366720\"]\n  39 [size=\"101068800\", alpha=\"0.13\", expect_size=\"40427520\"] \n  39 -> 40 [size =\"40427520\"]\n  40 [size=\"112066560\", alpha=\"0.13\", expect_size=\"44826624\"] \n  40 -> 41 [size =\"44826624\"]\n  41 [size=\"73239040\", alpha=\"0.01\", expect_size=\"29295616\"] \n  41 -> 42 [size =\"29295616\"]\n  42 [size=\"72806400\", alpha=\"0.18\", expect_size=\"29122560\"] \n  42 -> 43 [size =\"29122560\"]\n  43 [size=\"109324800\", alpha=\"0.18\", expect_size=\"43729920\"] \n  43 -> 44 [size =\"43729920\"]\n  44 [size=\"70901760\", alpha=\"0.18\", expect_size=\"28360704\"] \n  44 -> 45 [size =\"28360704\"]\n  45 [size=\"75514880\", alpha=\"0.20\", expect_size=\"30205952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93982720\", alpha=\"0.06\", expect_size=\"46991360\"] \n  1 -> 19 [size =\"46991360\"]\n  1 -> 20 [size =\"46991360\"]\n  1 -> 25 [size =\"46991360\"]\n  1 -> 26 [size =\"46991360\"]\n  1 -> 27 [size =\"46991360\"]\n  1 -> 30 [size =\"46991360\"]\n  1 -> 31 [size =\"46991360\"]\n  1 -> 32 [size =\"46991360\"]\n  2 [size=\"93073408\", alpha=\"0.08\", expect_size=\"46536704\"] \n  2 -> 19 [size =\"46536704\"]\n  2 -> 20 [size =\"46536704\"]\n  2 -> 23 [size =\"46536704\"]\n  2 -> 25 [size =\"46536704\"]\n  2 -> 29 [size =\"46536704\"]\n  3 [size=\"22794240\", alpha=\"0.14\", expect_size=\"11397120\"] \n  3 -> 19 [size =\"11397120\"]\n  3 -> 26 [size =\"11397120\"]\n  3 -> 27 [size =\"11397120\"]\n  3 -> 31 [size =\"11397120\"]\n  3 -> 34 [size =\"11397120\"]\n  4 [size=\"72366080\", alpha=\"0.18\", expect_size=\"36183040\"] \n  4 -> 20 [size =\"36183040\"]\n  4 -> 21 [size =\"36183040\"]\n  4 -> 26 [size =\"36183040\"]\n  4 -> 31 [size =\"36183040\"]\n  4 -> 34 [size =\"36183040\"]\n  5 [size=\"98273280\", alpha=\"0.05\", expect_size=\"49136640\"] \n  5 -> 19 [size =\"49136640\"]\n  5 -> 20 [size =\"49136640\"]\n  5 -> 21 [size =\"49136640\"]\n  5 -> 24 [size =\"49136640\"]\n  5 -> 26 [size =\"49136640\"]\n  5 -> 31 [size =\"49136640\"]\n  5 -> 34 [size =\"49136640\"]\n  6 [size=\"46968832\", alpha=\"0.16\", expect_size=\"23484416\"] \n  6 -> 19 [size =\"23484416\"]\n  6 -> 20 [size =\"23484416\"]\n  6 -> 25 [size =\"23484416\"]\n  6 -> 26 [size =\"23484416\"]\n  6 -> 26 [size =\"23484416\"]\n  6 -> 31 [size =\"23484416\"]\n  6 -> 34 [size =\"23484416\"]\n  7 [size=\"48168960\", alpha=\"0.09\", expect_size=\"24084480\"] \n  7 -> 20 [size =\"24084480\"]\n  7 -> 21 [size =\"24084480\"]\n  7 -> 23 [size =\"24084480\"]\n  7 -> 24 [size =\"24084480\"]\n  7 -> 25 [size =\"24084480\"]\n  7 -> 26 [size =\"24084480\"]\n  7 -> 32 [size =\"24084480\"]\n  8 [size=\"67414016\", alpha=\"0.05\", expect_size=\"33707008\"] \n  8 -> 19 [size =\"33707008\"]\n  8 -> 20 [size =\"33707008\"]\n  8 -> 22 [size =\"33707008\"]\n  8 -> 24 [size =\"33707008\"]\n  9 [size=\"52336640\", alpha=\"0.11\", expect_size=\"26168320\"] \n  9 -> 20 [size =\"26168320\"]\n  9 -> 21 [size =\"26168320\"]\n  9 -> 24 [size =\"26168320\"]\n  9 -> 24 [size =\"26168320\"]\n  9 -> 34 [size =\"26168320\"]\n  10 [size=\"24877056\", alpha=\"0.06\", expect_size=\"12438528\"] \n  10 -> 20 [size =\"12438528\"]\n  10 -> 21 [size =\"12438528\"]\n  10 -> 26 [size =\"12438528\"]\n  10 -> 34 [size =\"12438528\"]\n  10 -> 34 [size =\"12438528\"]\n  11 [size=\"46274560\", alpha=\"0.14\", expect_size=\"23137280\"] \n  11 -> 20 [size =\"23137280\"]\n  11 -> 23 [size =\"23137280\"]\n  11 -> 25 [size =\"23137280\"]\n  11 -> 32 [size =\"23137280\"]\n  11 -> 33 [size =\"23137280\"]\n  11 -> 34 [size =\"23137280\"]\n  12 [size=\"75173888\", alpha=\"0.18\", expect_size=\"37586944\"] \n  12 -> 21 [size =\"37586944\"]\n  12 -> 25 [size =\"37586944\"]\n  12 -> 25 [size =\"37586944\"]\n  12 -> 26 [size =\"37586944\"]\n  12 -> 28 [size =\"37586944\"]\n  12 -> 29 [size =\"37586944\"]\n  12 -> 31 [size =\"37586944\"]\n  12 -> 33 [size =\"37586944\"]\n  13 [size=\"16734208\", alpha=\"0.18\", expect_size=\"8367104\"] \n  13 -> 19 [size =\"8367104\"]\n  13 -> 26 [size =\"8367104\"]\n  13 -> 28 [size =\"8367104\"]\n  13 -> 29 [size =\"8367104\"]\n  13 -> 33 [size =\"8367104\"]\n  13 -> 34 [size =\"8367104\"]\n  14 [size=\"82632704\", alpha=\"0.13\", expect_size=\"41316352\"] \n  14 -> 28 [size =\"41316352\"]\n  14 -> 32 [size =\"41316352\"]\n  14 -> 33 [size =\"41316352\"]\n  15 [size=\"74575872\", alpha=\"0.04\", expect_size=\"37287936\"] \n  15 -> 26 [size =\"37287936\"]\n  15 -> 28 [size =\"37287936\"]\n  15 -> 32 [size =\"37287936\"]\n  15 -> 33 [size =\"37287936\"]\n  16 [size=\"98971648\", alpha=\"0.17\", expect_size=\"49485824\"] \n  16 -> 19 [size =\"49485824\"]\n  16 -> 20 [size =\"49485824\"]\n  16 -> 24 [size =\"49485824\"]\n  16 -> 25 [size =\"49485824\"]\n  16 -> 28 [size =\"49485824\"]\n  16 -> 29 [size =\"49485824\"]\n  16 -> 32 [size =\"49485824\"]\n  16 -> 33 [size =\"49485824\"]\n  16 -> 34 [size =\"49485824\"]\n  17 [size=\"80558080\", alpha=\"0.04\", expect_size=\"40279040\"] \n  17 -> 20 [size =\"40279040\"]\n  17 -> 24 [size =\"40279040\"]\n  17 -> 26 [size =\"40279040\"]\n  17 -> 28 [size =\"40279040\"]\n  17 -> 32 [size =\"40279040\"]\n  17 -> 33 [size =\"40279040\"]\n  18 [size=\"29710336\", alpha=\"0.13\", expect_size=\"14855168\"] \n  18 -> 19 [size =\"14855168\"]\n  18 -> 20 [size =\"14855168\"]\n  18 -> 25 [size =\"14855168\"]\n  18 -> 28 [size =\"14855168\"]\n  18 -> 29 [size =\"14855168\"]\n  18 -> 32 [size =\"14855168\"]\n  18 -> 33 [size =\"14855168\"]\n  18 -> 34 [size =\"14855168\"]\n  19 [size=\"52635648\", alpha=\"0.15\", expect_size=\"26317824\"] \n  19 -> 35 [size =\"26317824\"]\n  19 -> 36 [size =\"26317824\"]\n  19 -> 37 [size =\"26317824\"]\n  19 -> 38 [size =\"26317824\"]\n  19 -> 40 [size =\"26317824\"]\n  19 -> 41 [size =\"26317824\"]\n  19 -> 42 [size =\"26317824\"]\n  19 -> 43 [size =\"26317824\"]\n  20 [size=\"10674176\", alpha=\"0.17\", expect_size=\"5337088\"] \n  20 -> 35 [size =\"5337088\"]\n  20 -> 36 [size =\"5337088\"]\n  20 -> 37 [size =\"5337088\"]\n  20 -> 38 [size =\"5337088\"]\n  20 -> 39 [size =\"5337088\"]\n  20 -> 40 [size =\"5337088\"]\n  20 -> 44 [size =\"5337088\"]\n  21 [size=\"40808448\", alpha=\"0.16\", expect_size=\"20404224\"] \n  21 -> 35 [size =\"20404224\"]\n  21 -> 36 [size =\"20404224\"]\n  21 -> 37 [size =\"20404224\"]\n  21 -> 38 [size =\"20404224\"]\n  21 -> 40 [size =\"20404224\"]\n  21 -> 41 [size =\"20404224\"]\n  21 -> 42 [size =\"20404224\"]\n  21 -> 43 [size =\"20404224\"]\n  21 -> 45 [size =\"20404224\"]\n  22 [size=\"12875776\", alpha=\"0.13\", expect_size=\"6437888\"] \n  22 -> 36 [size =\"6437888\"]\n  22 -> 37 [size =\"6437888\"]\n  22 -> 37 [size =\"6437888\"]\n  22 -> 38 [size =\"6437888\"]\n  22 -> 40 [size =\"6437888\"]\n  22 -> 42 [size =\"6437888\"]\n  22 -> 42 [size =\"6437888\"]\n  22 -> 43 [size =\"6437888\"]\n  22 -> 44 [size =\"6437888\"]\n  23 [size=\"97083392\", alpha=\"0.12\", expect_size=\"48541696\"] \n  23 -> 36 [size =\"48541696\"]\n  23 -> 40 [size =\"48541696\"]\n  23 -> 42 [size =\"48541696\"]\n  24 [size=\"86642688\", alpha=\"0.05\", expect_size=\"43321344\"] \n  24 -> 35 [size =\"43321344\"]\n  24 -> 36 [size =\"43321344\"]\n  24 -> 41 [size =\"43321344\"]\n  24 -> 42 [size =\"43321344\"]\n  24 -> 45 [size =\"43321344\"]\n  25 [size=\"53202944\", alpha=\"0.16\", expect_size=\"26601472\"] \n  25 -> 36 [size =\"26601472\"]\n  25 -> 41 [size =\"26601472\"]\n  25 -> 42 [size =\"26601472\"]\n  25 -> 42 [size =\"26601472\"]\n  26 [size=\"73119744\", alpha=\"0.15\", expect_size=\"36559872\"] \n  26 -> 35 [size =\"36559872\"]\n  26 -> 38 [size =\"36559872\"]\n  26 -> 40 [size =\"36559872\"]\n  26 -> 41 [size =\"36559872\"]\n  26 -> 42 [size =\"36559872\"]\n  26 -> 44 [size =\"36559872\"]\n  27 [size=\"61241344\", alpha=\"0.02\", expect_size=\"30620672\"] \n  27 -> 37 [size =\"30620672\"]\n  27 -> 39 [size =\"30620672\"]\n  27 -> 40 [size =\"30620672\"]\n  27 -> 41 [size =\"30620672\"]\n  27 -> 42 [size =\"30620672\"]\n  27 -> 44 [size =\"30620672\"]\n  28 [size=\"78557184\", alpha=\"0.01\", expect_size=\"39278592\"] \n  28 -> 36 [size =\"39278592\"]\n  28 -> 37 [size =\"39278592\"]\n  28 -> 39 [size =\"39278592\"]\n  28 -> 40 [size =\"39278592\"]\n  28 -> 41 [size =\"39278592\"]\n  28 -> 42 [size =\"39278592\"]\n  28 -> 44 [size =\"39278592\"]\n  29 [size=\"45352960\", alpha=\"0.09\", expect_size=\"22676480\"] \n  29 -> 37 [size =\"22676480\"]\n  29 -> 37 [size =\"22676480\"]\n  29 -> 43 [size =\"22676480\"]\n  30 [size=\"21256192\", alpha=\"0.19\", expect_size=\"10628096\"] \n  30 -> 35 [size =\"10628096\"]\n  30 -> 36 [size =\"10628096\"]\n  30 -> 37 [size =\"10628096\"]\n  30 -> 38 [size =\"10628096\"]\n  30 -> 41 [size =\"10628096\"]\n  31 [size=\"99303424\", alpha=\"0.18\", expect_size=\"49651712\"] \n  31 -> 35 [size =\"49651712\"]\n  31 -> 36 [size =\"49651712\"]\n  31 -> 38 [size =\"49651712\"]\n  31 -> 38 [size =\"49651712\"]\n  31 -> 41 [size =\"49651712\"]\n  31 -> 44 [size =\"49651712\"]\n  32 [size=\"79876096\", alpha=\"0.10\", expect_size=\"39938048\"] \n  32 -> 35 [size =\"39938048\"]\n  32 -> 41 [size =\"39938048\"]\n  33 [size=\"45559808\", alpha=\"0.04\", expect_size=\"22779904\"] \n  33 -> 36 [size =\"22779904\"]\n  33 -> 38 [size =\"22779904\"]\n  33 -> 40 [size =\"22779904\"]\n  33 -> 41 [size =\"22779904\"]\n  33 -> 44 [size =\"22779904\"]\n  34 [size=\"103041024\", alpha=\"0.12\", expect_size=\"51520512\"] \n  34 -> 35 [size =\"51520512\"]\n  34 -> 36 [size =\"51520512\"]\n  34 -> 38 [size =\"51520512\"]\n  34 -> 39 [size =\"51520512\"]\n  34 -> 40 [size =\"51520512\"]\n  34 -> 44 [size =\"51520512\"]\n  35 [size=\"31080448\", alpha=\"0.15\", expect_size=\"15540224\"] \n  36 [size=\"11841536\", alpha=\"0.16\", expect_size=\"5920768\"] \n  37 [size=\"81805312\", alpha=\"0.12\", expect_size=\"40902656\"] \n  38 [size=\"89915392\", alpha=\"0.12\", expect_size=\"44957696\"] \n  39 [size=\"93100032\", alpha=\"0.01\", expect_size=\"46550016\"] \n  40 [size=\"38836224\", alpha=\"0.10\", expect_size=\"19418112\"] \n  41 [size=\"35891200\", alpha=\"0.05\", expect_size=\"17945600\"] \n  42 [size=\"25681920\", alpha=\"0.01\", expect_size=\"12840960\"] \n  43 [size=\"72896512\", alpha=\"0.15\", expect_size=\"36448256\"] \n  44 [size=\"89415680\", alpha=\"0.06\", expect_size=\"44707840\"] \n  45 [size=\"53012480\", alpha=\"0.05\", expect_size=\"26506240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51396608\", alpha=\"0.12\", expect_size=\"25698304\"] \n  1 -> 30 [size =\"25698304\"]\n  1 -> 35 [size =\"25698304\"]\n  1 -> 36 [size =\"25698304\"]\n  1 -> 38 [size =\"25698304\"]\n  1 -> 44 [size =\"25698304\"]\n  2 [size=\"27953152\", alpha=\"0.07\", expect_size=\"13976576\"] \n  2 -> 32 [size =\"13976576\"]\n  2 -> 35 [size =\"13976576\"]\n  2 -> 42 [size =\"13976576\"]\n  2 -> 44 [size =\"13976576\"]\n  2 -> 44 [size =\"13976576\"]\n  3 [size=\"19689472\", alpha=\"0.11\", expect_size=\"9844736\"] \n  3 -> 39 [size =\"9844736\"]\n  3 -> 40 [size =\"9844736\"]\n  3 -> 45 [size =\"9844736\"]\n  4 [size=\"89747456\", alpha=\"0.19\", expect_size=\"44873728\"] \n  4 -> 38 [size =\"44873728\"]\n  4 -> 43 [size =\"44873728\"]\n  5 [size=\"45789184\", alpha=\"0.06\", expect_size=\"22894592\"] \n  5 -> 32 [size =\"22894592\"]\n  5 -> 38 [size =\"22894592\"]\n  5 -> 42 [size =\"22894592\"]\n  5 -> 43 [size =\"22894592\"]\n  5 -> 44 [size =\"22894592\"]\n  6 [size=\"39505920\", alpha=\"0.16\", expect_size=\"19752960\"] \n  6 -> 32 [size =\"19752960\"]\n  6 -> 33 [size =\"19752960\"]\n  6 -> 34 [size =\"19752960\"]\n  6 -> 35 [size =\"19752960\"]\n  6 -> 36 [size =\"19752960\"]\n  6 -> 40 [size =\"19752960\"]\n  6 -> 44 [size =\"19752960\"]\n  6 -> 45 [size =\"19752960\"]\n  7 [size=\"65687552\", alpha=\"0.02\", expect_size=\"32843776\"] \n  7 -> 34 [size =\"32843776\"]\n  7 -> 35 [size =\"32843776\"]\n  7 -> 42 [size =\"32843776\"]\n  7 -> 44 [size =\"32843776\"]\n  7 -> 45 [size =\"32843776\"]\n  8 [size=\"51509248\", alpha=\"0.17\", expect_size=\"25754624\"] \n  8 -> 33 [size =\"25754624\"]\n  8 -> 34 [size =\"25754624\"]\n  8 -> 35 [size =\"25754624\"]\n  8 -> 42 [size =\"25754624\"]\n  8 -> 43 [size =\"25754624\"]\n  9 [size=\"17012736\", alpha=\"0.19\", expect_size=\"8506368\"] \n  9 -> 29 [size =\"8506368\"]\n  9 -> 32 [size =\"8506368\"]\n  9 -> 37 [size =\"8506368\"]\n  9 -> 42 [size =\"8506368\"]\n  9 -> 43 [size =\"8506368\"]\n  9 -> 44 [size =\"8506368\"]\n  10 [size=\"85573632\", alpha=\"0.07\", expect_size=\"42786816\"] \n  10 -> 32 [size =\"42786816\"]\n  10 -> 38 [size =\"42786816\"]\n  10 -> 42 [size =\"42786816\"]\n  10 -> 44 [size =\"42786816\"]\n  11 [size=\"77418496\", alpha=\"0.01\", expect_size=\"38709248\"] \n  11 -> 32 [size =\"38709248\"]\n  11 -> 33 [size =\"38709248\"]\n  11 -> 34 [size =\"38709248\"]\n  11 -> 35 [size =\"38709248\"]\n  11 -> 36 [size =\"38709248\"]\n  11 -> 42 [size =\"38709248\"]\n  11 -> 43 [size =\"38709248\"]\n  12 [size=\"41336832\", alpha=\"0.07\", expect_size=\"20668416\"] \n  12 -> 32 [size =\"20668416\"]\n  12 -> 33 [size =\"20668416\"]\n  12 -> 35 [size =\"20668416\"]\n  12 -> 36 [size =\"20668416\"]\n  12 -> 41 [size =\"20668416\"]\n  12 -> 42 [size =\"20668416\"]\n  12 -> 45 [size =\"20668416\"]\n  13 [size=\"75737088\", alpha=\"0.16\", expect_size=\"37868544\"] \n  13 -> 29 [size =\"37868544\"]\n  13 -> 30 [size =\"37868544\"]\n  13 -> 32 [size =\"37868544\"]\n  13 -> 36 [size =\"37868544\"]\n  14 [size=\"31412224\", alpha=\"0.11\", expect_size=\"15706112\"] \n  14 -> 31 [size =\"15706112\"]\n  14 -> 33 [size =\"15706112\"]\n  14 -> 34 [size =\"15706112\"]\n  14 -> 36 [size =\"15706112\"]\n  14 -> 44 [size =\"15706112\"]\n  15 [size=\"27435008\", alpha=\"0.06\", expect_size=\"13717504\"] \n  15 -> 32 [size =\"13717504\"]\n  15 -> 33 [size =\"13717504\"]\n  15 -> 34 [size =\"13717504\"]\n  15 -> 35 [size =\"13717504\"]\n  15 -> 36 [size =\"13717504\"]\n  15 -> 42 [size =\"13717504\"]\n  16 [size=\"54339584\", alpha=\"0.19\", expect_size=\"27169792\"] \n  16 -> 33 [size =\"27169792\"]\n  16 -> 33 [size =\"27169792\"]\n  16 -> 35 [size =\"27169792\"]\n  16 -> 43 [size =\"27169792\"]\n  17 [size=\"35692544\", alpha=\"0.11\", expect_size=\"17846272\"] \n  17 -> 35 [size =\"17846272\"]\n  17 -> 39 [size =\"17846272\"]\n  17 -> 40 [size =\"17846272\"]\n  17 -> 44 [size =\"17846272\"]\n  18 [size=\"46149632\", alpha=\"0.02\", expect_size=\"23074816\"] \n  18 -> 33 [size =\"23074816\"]\n  18 -> 35 [size =\"23074816\"]\n  18 -> 38 [size =\"23074816\"]\n  18 -> 44 [size =\"23074816\"]\n  19 [size=\"33884160\", alpha=\"0.16\", expect_size=\"16942080\"] \n  19 -> 29 [size =\"16942080\"]\n  19 -> 35 [size =\"16942080\"]\n  19 -> 44 [size =\"16942080\"]\n  20 [size=\"29370368\", alpha=\"0.08\", expect_size=\"14685184\"] \n  20 -> 35 [size =\"14685184\"]\n  20 -> 35 [size =\"14685184\"]\n  20 -> 42 [size =\"14685184\"]\n  20 -> 43 [size =\"14685184\"]\n  20 -> 44 [size =\"14685184\"]\n  20 -> 45 [size =\"14685184\"]\n  21 [size=\"64118784\", alpha=\"0.08\", expect_size=\"32059392\"] \n  21 -> 34 [size =\"32059392\"]\n  21 -> 39 [size =\"32059392\"]\n  21 -> 42 [size =\"32059392\"]\n  21 -> 43 [size =\"32059392\"]\n  22 [size=\"66893824\", alpha=\"0.13\", expect_size=\"33446912\"] \n  22 -> 31 [size =\"33446912\"]\n  22 -> 33 [size =\"33446912\"]\n  22 -> 34 [size =\"33446912\"]\n  22 -> 42 [size =\"33446912\"]\n  22 -> 44 [size =\"33446912\"]\n  22 -> 45 [size =\"33446912\"]\n  23 [size=\"99336192\", alpha=\"0.19\", expect_size=\"49668096\"] \n  23 -> 32 [size =\"49668096\"]\n  23 -> 34 [size =\"49668096\"]\n  23 -> 36 [size =\"49668096\"]\n  23 -> 42 [size =\"49668096\"]\n  23 -> 44 [size =\"49668096\"]\n  24 [size=\"81121280\", alpha=\"0.02\", expect_size=\"40560640\"] \n  24 -> 32 [size =\"40560640\"]\n  24 -> 34 [size =\"40560640\"]\n  24 -> 36 [size =\"40560640\"]\n  24 -> 37 [size =\"40560640\"]\n  25 [size=\"39677952\", alpha=\"0.13\", expect_size=\"19838976\"] \n  25 -> 29 [size =\"19838976\"]\n  25 -> 34 [size =\"19838976\"]\n  25 -> 35 [size =\"19838976\"]\n  25 -> 36 [size =\"19838976\"]\n  25 -> 37 [size =\"19838976\"]\n  26 [size=\"69980160\", alpha=\"0.09\", expect_size=\"34990080\"] \n  26 -> 32 [size =\"34990080\"]\n  26 -> 33 [size =\"34990080\"]\n  26 -> 36 [size =\"34990080\"]\n  27 [size=\"67201024\", alpha=\"0.18\", expect_size=\"33600512\"] \n  27 -> 33 [size =\"33600512\"]\n  27 -> 33 [size =\"33600512\"]\n  27 -> 34 [size =\"33600512\"]\n  27 -> 36 [size =\"33600512\"]\n  27 -> 38 [size =\"33600512\"]\n  27 -> 42 [size =\"33600512\"]\n  27 -> 43 [size =\"33600512\"]\n  27 -> 44 [size =\"33600512\"]\n  28 [size=\"27082752\", alpha=\"0.15\", expect_size=\"13541376\"] \n  28 -> 32 [size =\"13541376\"]\n  28 -> 33 [size =\"13541376\"]\n  28 -> 36 [size =\"13541376\"]\n  28 -> 38 [size =\"13541376\"]\n  28 -> 43 [size =\"13541376\"]\n  28 -> 44 [size =\"13541376\"]\n  29 [size=\"34861056\", alpha=\"0.13\", expect_size=\"17430528\"] \n  30 [size=\"15153152\", alpha=\"0.08\", expect_size=\"7576576\"] \n  31 [size=\"51759104\", alpha=\"0.16\", expect_size=\"25879552\"] \n  32 [size=\"91217920\", alpha=\"0.11\", expect_size=\"45608960\"] \n  33 [size=\"56623104\", alpha=\"0.00\", expect_size=\"28311552\"] \n  34 [size=\"51554304\", alpha=\"0.13\", expect_size=\"25777152\"] \n  35 [size=\"60903424\", alpha=\"0.10\", expect_size=\"30451712\"] \n  36 [size=\"25600000\", alpha=\"0.17\", expect_size=\"12800000\"] \n  37 [size=\"69038080\", alpha=\"0.08\", expect_size=\"34519040\"] \n  38 [size=\"57673728\", alpha=\"0.07\", expect_size=\"28836864\"] \n  39 [size=\"32532480\", alpha=\"0.12\", expect_size=\"16266240\"] \n  40 [size=\"94513152\", alpha=\"0.20\", expect_size=\"47256576\"] \n  41 [size=\"35594240\", alpha=\"0.19\", expect_size=\"17797120\"] \n  42 [size=\"17076224\", alpha=\"0.11\", expect_size=\"8538112\"] \n  43 [size=\"69814272\", alpha=\"0.01\", expect_size=\"34907136\"] \n  44 [size=\"70318080\", alpha=\"0.06\", expect_size=\"35159040\"] \n  45 [size=\"39514112\", alpha=\"0.17\", expect_size=\"19757056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88279040\", alpha=\"0.06\", expect_size=\"26483712\"] \n  1 -> 3 [size =\"26483712\"]\n  1 -> 4 [size =\"26483712\"]\n  2 [size=\"162580480\", alpha=\"0.19\", expect_size=\"48774144\"] \n  2 -> 5 [size =\"48774144\"]\n  3 [size=\"141383680\", alpha=\"0.10\", expect_size=\"42415104\"] \n  3 -> 6 [size =\"42415104\"]\n  4 [size=\"68256427\", alpha=\"0.11\", expect_size=\"20476928\"] \n  4 -> 6 [size =\"20476928\"]\n  4 -> 7 [size =\"20476928\"]\n  5 [size=\"123228160\", alpha=\"0.04\", expect_size=\"36968448\"] \n  5 -> 7 [size =\"36968448\"]\n  5 -> 8 [size =\"36968448\"]\n  6 [size=\"114036053\", alpha=\"0.05\", expect_size=\"34210816\"] \n  6 -> 9 [size =\"34210816\"]\n  6 -> 10 [size =\"34210816\"]\n  7 [size=\"154668373\", alpha=\"0.12\", expect_size=\"46400512\"] \n  7 -> 11 [size =\"46400512\"]\n  8 [size=\"123494400\", alpha=\"0.12\", expect_size=\"37048320\"] \n  8 -> 10 [size =\"37048320\"]\n  9 [size=\"22674773\", alpha=\"0.18\", expect_size=\"6802432\"] \n  10 [size=\"38208853\", alpha=\"0.06\", expect_size=\"11462656\"] \n  10 -> 13 [size =\"11462656\"]\n  11 [size=\"104656213\", alpha=\"0.03\", expect_size=\"31396864\"] \n  11 -> 12 [size =\"31396864\"]\n  12 [size=\"155241813\", alpha=\"0.12\", expect_size=\"46572544\"] \n  12 -> 14 [size =\"46572544\"]\n  13 [size=\"143674027\", alpha=\"0.10\", expect_size=\"43102208\"] \n  13 -> 15 [size =\"43102208\"]\n  14 [size=\"63692800\", alpha=\"0.01\", expect_size=\"19107840\"] \n  14 -> 17 [size =\"19107840\"]\n  15 [size=\"152046933\", alpha=\"0.03\", expect_size=\"45614080\"] \n  15 -> 16 [size =\"45614080\"]\n  16 [size=\"27149653\", alpha=\"0.13\", expect_size=\"8144896\"] \n  16 -> 18 [size =\"8144896\"]\n  17 [size=\"70321493\", alpha=\"0.03\", expect_size=\"21096448\"] \n  17 -> 19 [size =\"21096448\"]\n  18 [size=\"163778560\", alpha=\"0.05\", expect_size=\"49133568\"] \n  18 -> 20 [size =\"49133568\"]\n  19 [size=\"98027520\", alpha=\"0.20\", expect_size=\"29408256\"] \n  19 -> 21 [size =\"29408256\"]\n  20 [size=\"85896533\", alpha=\"0.15\", expect_size=\"25768960\"] \n  21 [size=\"131191467\", alpha=\"0.19\", expect_size=\"39357440\"] \n  21 -> 22 [size =\"39357440\"]\n  21 -> 23 [size =\"39357440\"]\n  21 -> 24 [size =\"39357440\"]\n  22 [size=\"156835840\", alpha=\"0.02\", expect_size=\"47050752\"] \n  23 [size=\"91255467\", alpha=\"0.00\", expect_size=\"27376640\"] \n  23 -> 26 [size =\"27376640\"]\n  23 -> 27 [size =\"27376640\"]\n  24 [size=\"168690347\", alpha=\"0.05\", expect_size=\"50607104\"] \n  24 -> 25 [size =\"50607104\"]\n  24 -> 26 [size =\"50607104\"]\n  25 [size=\"18414933\", alpha=\"0.04\", expect_size=\"5524480\"] \n  25 -> 28 [size =\"5524480\"]\n  25 -> 30 [size =\"5524480\"]\n  26 [size=\"44042240\", alpha=\"0.14\", expect_size=\"13212672\"] \n  26 -> 29 [size =\"13212672\"]\n  27 [size=\"143957333\", alpha=\"0.03\", expect_size=\"43187200\"] \n  27 -> 30 [size =\"43187200\"]\n  28 [size=\"167939413\", alpha=\"0.04\", expect_size=\"50381824\"] \n  28 -> 31 [size =\"50381824\"]\n  28 -> 32 [size =\"50381824\"]\n  29 [size=\"48107520\", alpha=\"0.06\", expect_size=\"14432256\"] \n  30 [size=\"46380373\", alpha=\"0.11\", expect_size=\"13914112\"] \n  30 -> 32 [size =\"13914112\"]\n  31 [size=\"164625067\", alpha=\"0.07\", expect_size=\"49387520\"] \n  32 [size=\"159074987\", alpha=\"0.01\", expect_size=\"47722496\"] \n  32 -> 33 [size =\"47722496\"]\n  32 -> 34 [size =\"47722496\"]\n  32 -> 35 [size =\"47722496\"]\n  33 [size=\"17544533\", alpha=\"0.10\", expect_size=\"5263360\"] \n  33 -> 37 [size =\"5263360\"]\n  34 [size=\"21230933\", alpha=\"0.06\", expect_size=\"6369280\"] \n  34 -> 37 [size =\"6369280\"]\n  35 [size=\"63634773\", alpha=\"0.18\", expect_size=\"19090432\"] \n  35 -> 36 [size =\"19090432\"]\n  36 [size=\"93218133\", alpha=\"0.12\", expect_size=\"27965440\"] \n  36 -> 38 [size =\"27965440\"]\n  36 -> 39 [size =\"27965440\"]\n  37 [size=\"49257813\", alpha=\"0.12\", expect_size=\"14777344\"] \n  38 [size=\"68945920\", alpha=\"0.11\", expect_size=\"20683776\"] \n  38 -> 40 [size =\"20683776\"]\n  38 -> 41 [size =\"20683776\"]\n  39 [size=\"101017600\", alpha=\"0.01\", expect_size=\"30305280\"] \n  40 [size=\"150671360\", alpha=\"0.19\", expect_size=\"45201408\"] \n  40 -> 42 [size =\"45201408\"]\n  40 -> 43 [size =\"45201408\"]\n  41 [size=\"81356800\", alpha=\"0.11\", expect_size=\"24407040\"] \n  42 [size=\"137540267\", alpha=\"0.01\", expect_size=\"41262080\"] \n  42 -> 44 [size =\"41262080\"]\n  42 -> 45 [size =\"41262080\"]\n  43 [size=\"142411093\", alpha=\"0.01\", expect_size=\"42723328\"] \n  44 [size=\"64887467\", alpha=\"0.20\", expect_size=\"19466240\"] \n  45 [size=\"108472320\", alpha=\"0.19\", expect_size=\"32541696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127224320\", alpha=\"0.16\", expect_size=\"50889728\"] \n  1 -> 7 [size =\"50889728\"]\n  2 [size=\"90613760\", alpha=\"0.06\", expect_size=\"36245504\"] \n  2 -> 7 [size =\"36245504\"]\n  2 -> 9 [size =\"36245504\"]\n  2 -> 10 [size =\"36245504\"]\n  2 -> 13 [size =\"36245504\"]\n  3 [size=\"73556480\", alpha=\"0.18\", expect_size=\"29422592\"] \n  3 -> 10 [size =\"29422592\"]\n  4 [size=\"48757760\", alpha=\"0.10\", expect_size=\"19503104\"] \n  4 -> 9 [size =\"19503104\"]\n  4 -> 10 [size =\"19503104\"]\n  4 -> 13 [size =\"19503104\"]\n  5 [size=\"121873920\", alpha=\"0.13\", expect_size=\"48749568\"] \n  5 -> 8 [size =\"48749568\"]\n  5 -> 11 [size =\"48749568\"]\n  5 -> 12 [size =\"48749568\"]\n  6 [size=\"116439040\", alpha=\"0.16\", expect_size=\"46575616\"] \n  6 -> 12 [size =\"46575616\"]\n  7 [size=\"56849920\", alpha=\"0.03\", expect_size=\"22739968\"] \n  7 -> 17 [size =\"22739968\"]\n  7 -> 18 [size =\"22739968\"]\n  8 [size=\"105088000\", alpha=\"0.01\", expect_size=\"42035200\"] \n  8 -> 14 [size =\"42035200\"]\n  8 -> 15 [size =\"42035200\"]\n  8 -> 18 [size =\"42035200\"]\n  9 [size=\"16217600\", alpha=\"0.06\", expect_size=\"6487040\"] \n  9 -> 14 [size =\"6487040\"]\n  9 -> 15 [size =\"6487040\"]\n  10 [size=\"76003840\", alpha=\"0.18\", expect_size=\"30401536\"] \n  11 [size=\"126346240\", alpha=\"0.20\", expect_size=\"50538496\"] \n  12 [size=\"103575040\", alpha=\"0.15\", expect_size=\"41430016\"] \n  12 -> 14 [size =\"41430016\"]\n  13 [size=\"23211520\", alpha=\"0.03\", expect_size=\"9284608\"] \n  13 -> 16 [size =\"9284608\"]\n  14 [size=\"127892480\", alpha=\"0.08\", expect_size=\"51156992\"] \n  14 -> 20 [size =\"51156992\"]\n  14 -> 21 [size =\"51156992\"]\n  14 -> 22 [size =\"51156992\"]\n  15 [size=\"70387200\", alpha=\"0.14\", expect_size=\"28154880\"] \n  15 -> 19 [size =\"28154880\"]\n  15 -> 20 [size =\"28154880\"]\n  16 [size=\"29547520\", alpha=\"0.09\", expect_size=\"11819008\"] \n  16 -> 21 [size =\"11819008\"]\n  17 [size=\"126151680\", alpha=\"0.09\", expect_size=\"50460672\"] \n  17 -> 22 [size =\"50460672\"]\n  18 [size=\"28057600\", alpha=\"0.00\", expect_size=\"11223040\"] \n  18 -> 21 [size =\"11223040\"]\n  19 [size=\"34990080\", alpha=\"0.13\", expect_size=\"13996032\"] \n  19 -> 25 [size =\"13996032\"]\n  20 [size=\"67850240\", alpha=\"0.16\", expect_size=\"27140096\"] \n  20 -> 24 [size =\"27140096\"]\n  21 [size=\"57331200\", alpha=\"0.17\", expect_size=\"22932480\"] \n  21 -> 25 [size =\"22932480\"]\n  21 -> 26 [size =\"22932480\"]\n  22 [size=\"56747520\", alpha=\"0.12\", expect_size=\"22699008\"] \n  22 -> 23 [size =\"22699008\"]\n  23 [size=\"28446720\", alpha=\"0.17\", expect_size=\"11378688\"] \n  23 -> 28 [size =\"11378688\"]\n  23 -> 31 [size =\"11378688\"]\n  24 [size=\"43868160\", alpha=\"0.09\", expect_size=\"17547264\"] \n  24 -> 27 [size =\"17547264\"]\n  24 -> 30 [size =\"17547264\"]\n  25 [size=\"90969600\", alpha=\"0.18\", expect_size=\"36387840\"] \n  25 -> 29 [size =\"36387840\"]\n  25 -> 30 [size =\"36387840\"]\n  25 -> 32 [size =\"36387840\"]\n  26 [size=\"58073600\", alpha=\"0.05\", expect_size=\"23229440\"] \n  26 -> 27 [size =\"23229440\"]\n  26 -> 29 [size =\"23229440\"]\n  26 -> 31 [size =\"23229440\"]\n  27 [size=\"112327680\", alpha=\"0.20\", expect_size=\"44931072\"] \n  27 -> 33 [size =\"44931072\"]\n  27 -> 35 [size =\"44931072\"]\n  27 -> 36 [size =\"44931072\"]\n  27 -> 37 [size =\"44931072\"]\n  28 [size=\"48460800\", alpha=\"0.10\", expect_size=\"19384320\"] \n  28 -> 35 [size =\"19384320\"]\n  28 -> 37 [size =\"19384320\"]\n  29 [size=\"50997760\", alpha=\"0.01\", expect_size=\"20399104\"] \n  30 [size=\"129290240\", alpha=\"0.02\", expect_size=\"51716096\"] \n  30 -> 34 [size =\"51716096\"]\n  31 [size=\"103710720\", alpha=\"0.03\", expect_size=\"41484288\"] \n  31 -> 34 [size =\"41484288\"]\n  31 -> 36 [size =\"41484288\"]\n  32 [size=\"88384000\", alpha=\"0.18\", expect_size=\"35353600\"] \n  32 -> 35 [size =\"35353600\"]\n  33 [size=\"42849280\", alpha=\"0.16\", expect_size=\"17139712\"] \n  33 -> 41 [size =\"17139712\"]\n  33 -> 42 [size =\"17139712\"]\n  33 -> 43 [size =\"17139712\"]\n  34 [size=\"27558400\", alpha=\"0.13\", expect_size=\"11023360\"] \n  34 -> 39 [size =\"11023360\"]\n  34 -> 42 [size =\"11023360\"]\n  34 -> 43 [size =\"11023360\"]\n  35 [size=\"78161920\", alpha=\"0.20\", expect_size=\"31264768\"] \n  35 -> 40 [size =\"31264768\"]\n  35 -> 41 [size =\"31264768\"]\n  36 [size=\"67496960\", alpha=\"0.09\", expect_size=\"26998784\"] \n  36 -> 38 [size =\"26998784\"]\n  37 [size=\"98895360\", alpha=\"0.18\", expect_size=\"39558144\"] \n  37 -> 40 [size =\"39558144\"]\n  37 -> 43 [size =\"39558144\"]\n  38 [size=\"98142720\", alpha=\"0.09\", expect_size=\"39257088\"] \n  39 [size=\"39249920\", alpha=\"0.04\", expect_size=\"15699968\"] \n  39 -> 45 [size =\"15699968\"]\n  40 [size=\"43297280\", alpha=\"0.09\", expect_size=\"17318912\"] \n  41 [size=\"55214080\", alpha=\"0.00\", expect_size=\"22085632\"] \n  41 -> 45 [size =\"22085632\"]\n  42 [size=\"70277120\", alpha=\"0.19\", expect_size=\"28110848\"] \n  42 -> 45 [size =\"28110848\"]\n  43 [size=\"60989440\", alpha=\"0.01\", expect_size=\"24395776\"] \n  43 -> 44 [size =\"24395776\"]\n  44 [size=\"37460480\", alpha=\"0.08\", expect_size=\"14984192\"] \n  45 [size=\"114472960\", alpha=\"0.08\", expect_size=\"45789184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55285760\", alpha=\"0.12\", expect_size=\"22114304\"] \n  1 -> 37 [size =\"22114304\"]\n  1 -> 38 [size =\"22114304\"]\n  1 -> 43 [size =\"22114304\"]\n  1 -> 44 [size =\"22114304\"]\n  2 [size=\"125783040\", alpha=\"0.15\", expect_size=\"50313216\"] \n  2 -> 38 [size =\"50313216\"]\n  2 -> 39 [size =\"50313216\"]\n  2 -> 40 [size =\"50313216\"]\n  2 -> 43 [size =\"50313216\"]\n  2 -> 44 [size =\"50313216\"]\n  2 -> 45 [size =\"50313216\"]\n  3 [size=\"18503680\", alpha=\"0.02\", expect_size=\"7401472\"] \n  3 -> 40 [size =\"7401472\"]\n  3 -> 43 [size =\"7401472\"]\n  4 [size=\"88637440\", alpha=\"0.08\", expect_size=\"35454976\"] \n  4 -> 38 [size =\"35454976\"]\n  4 -> 39 [size =\"35454976\"]\n  4 -> 40 [size =\"35454976\"]\n  4 -> 44 [size =\"35454976\"]\n  5 [size=\"50058240\", alpha=\"0.15\", expect_size=\"20023296\"] \n  5 -> 37 [size =\"20023296\"]\n  5 -> 39 [size =\"20023296\"]\n  5 -> 41 [size =\"20023296\"]\n  5 -> 43 [size =\"20023296\"]\n  5 -> 44 [size =\"20023296\"]\n  6 [size=\"122731520\", alpha=\"0.02\", expect_size=\"49092608\"] \n  6 -> 38 [size =\"49092608\"]\n  6 -> 39 [size =\"49092608\"]\n  6 -> 41 [size =\"49092608\"]\n  6 -> 43 [size =\"49092608\"]\n  6 -> 44 [size =\"49092608\"]\n  7 [size=\"92503040\", alpha=\"0.15\", expect_size=\"37001216\"] \n  7 -> 37 [size =\"37001216\"]\n  7 -> 38 [size =\"37001216\"]\n  7 -> 40 [size =\"37001216\"]\n  7 -> 43 [size =\"37001216\"]\n  7 -> 44 [size =\"37001216\"]\n  8 [size=\"62028800\", alpha=\"0.14\", expect_size=\"24811520\"] \n  8 -> 38 [size =\"24811520\"]\n  8 -> 40 [size =\"24811520\"]\n  8 -> 43 [size =\"24811520\"]\n  9 [size=\"102817280\", alpha=\"0.04\", expect_size=\"41126912\"] \n  9 -> 38 [size =\"41126912\"]\n  9 -> 39 [size =\"41126912\"]\n  9 -> 43 [size =\"41126912\"]\n  10 [size=\"51100160\", alpha=\"0.20\", expect_size=\"20440064\"] \n  10 -> 39 [size =\"20440064\"]\n  11 [size=\"77178880\", alpha=\"0.04\", expect_size=\"30871552\"] \n  11 -> 39 [size =\"30871552\"]\n  11 -> 41 [size =\"30871552\"]\n  11 -> 43 [size =\"30871552\"]\n  11 -> 44 [size =\"30871552\"]\n  11 -> 45 [size =\"30871552\"]\n  12 [size=\"29199360\", alpha=\"0.08\", expect_size=\"11679744\"] \n  12 -> 36 [size =\"11679744\"]\n  12 -> 38 [size =\"11679744\"]\n  12 -> 39 [size =\"11679744\"]\n  12 -> 41 [size =\"11679744\"]\n  12 -> 43 [size =\"11679744\"]\n  12 -> 44 [size =\"11679744\"]\n  13 [size=\"115156480\", alpha=\"0.11\", expect_size=\"46062592\"] \n  13 -> 38 [size =\"46062592\"]\n  13 -> 40 [size =\"46062592\"]\n  13 -> 41 [size =\"46062592\"]\n  13 -> 43 [size =\"46062592\"]\n  14 [size=\"128212480\", alpha=\"0.11\", expect_size=\"51284992\"] \n  14 -> 36 [size =\"51284992\"]\n  14 -> 38 [size =\"51284992\"]\n  14 -> 39 [size =\"51284992\"]\n  14 -> 41 [size =\"51284992\"]\n  14 -> 42 [size =\"51284992\"]\n  14 -> 43 [size =\"51284992\"]\n  15 [size=\"54776320\", alpha=\"0.10\", expect_size=\"21910528\"] \n  15 -> 41 [size =\"21910528\"]\n  15 -> 43 [size =\"21910528\"]\n  15 -> 44 [size =\"21910528\"]\n  16 [size=\"24619520\", alpha=\"0.04\", expect_size=\"9847808\"] \n  16 -> 38 [size =\"9847808\"]\n  16 -> 42 [size =\"9847808\"]\n  16 -> 43 [size =\"9847808\"]\n  16 -> 44 [size =\"9847808\"]\n  16 -> 45 [size =\"9847808\"]\n  17 [size=\"36976640\", alpha=\"0.14\", expect_size=\"14790656\"] \n  17 -> 36 [size =\"14790656\"]\n  17 -> 37 [size =\"14790656\"]\n  17 -> 38 [size =\"14790656\"]\n  17 -> 39 [size =\"14790656\"]\n  17 -> 43 [size =\"14790656\"]\n  18 [size=\"124551680\", alpha=\"0.12\", expect_size=\"49820672\"] \n  18 -> 41 [size =\"49820672\"]\n  18 -> 43 [size =\"49820672\"]\n  18 -> 44 [size =\"49820672\"]\n  19 [size=\"90949120\", alpha=\"0.07\", expect_size=\"36379648\"] \n  19 -> 38 [size =\"36379648\"]\n  19 -> 40 [size =\"36379648\"]\n  19 -> 41 [size =\"36379648\"]\n  19 -> 43 [size =\"36379648\"]\n  19 -> 44 [size =\"36379648\"]\n  19 -> 45 [size =\"36379648\"]\n  20 [size=\"115130880\", alpha=\"0.08\", expect_size=\"46052352\"] \n  20 -> 40 [size =\"46052352\"]\n  20 -> 44 [size =\"46052352\"]\n  21 [size=\"113958400\", alpha=\"0.16\", expect_size=\"45583360\"] \n  21 -> 39 [size =\"45583360\"]\n  21 -> 40 [size =\"45583360\"]\n  21 -> 43 [size =\"45583360\"]\n  22 [size=\"21301760\", alpha=\"0.03\", expect_size=\"8520704\"] \n  22 -> 38 [size =\"8520704\"]\n  23 [size=\"70837760\", alpha=\"0.11\", expect_size=\"28335104\"] \n  23 -> 37 [size =\"28335104\"]\n  23 -> 40 [size =\"28335104\"]\n  23 -> 43 [size =\"28335104\"]\n  23 -> 44 [size =\"28335104\"]\n  24 [size=\"19404800\", alpha=\"0.12\", expect_size=\"7761920\"] \n  24 -> 40 [size =\"7761920\"]\n  24 -> 43 [size =\"7761920\"]\n  24 -> 44 [size =\"7761920\"]\n  25 [size=\"82229760\", alpha=\"0.19\", expect_size=\"32891904\"] \n  25 -> 37 [size =\"32891904\"]\n  25 -> 38 [size =\"32891904\"]\n  25 -> 39 [size =\"32891904\"]\n  25 -> 41 [size =\"32891904\"]\n  25 -> 44 [size =\"32891904\"]\n  25 -> 45 [size =\"32891904\"]\n  26 [size=\"20305920\", alpha=\"0.04\", expect_size=\"8122368\"] \n  26 -> 37 [size =\"8122368\"]\n  26 -> 38 [size =\"8122368\"]\n  26 -> 39 [size =\"8122368\"]\n  26 -> 41 [size =\"8122368\"]\n  26 -> 42 [size =\"8122368\"]\n  26 -> 44 [size =\"8122368\"]\n  27 [size=\"41169920\", alpha=\"0.04\", expect_size=\"16467968\"] \n  27 -> 38 [size =\"16467968\"]\n  27 -> 40 [size =\"16467968\"]\n  27 -> 42 [size =\"16467968\"]\n  27 -> 43 [size =\"16467968\"]\n  27 -> 44 [size =\"16467968\"]\n  27 -> 44 [size =\"16467968\"]\n  28 [size=\"126499840\", alpha=\"0.11\", expect_size=\"50599936\"] \n  28 -> 40 [size =\"50599936\"]\n  28 -> 41 [size =\"50599936\"]\n  28 -> 45 [size =\"50599936\"]\n  29 [size=\"76702720\", alpha=\"0.14\", expect_size=\"30681088\"] \n  29 -> 42 [size =\"30681088\"]\n  29 -> 43 [size =\"30681088\"]\n  29 -> 44 [size =\"30681088\"]\n  30 [size=\"119534080\", alpha=\"0.03\", expect_size=\"47813632\"] \n  30 -> 43 [size =\"47813632\"]\n  30 -> 44 [size =\"47813632\"]\n  31 [size=\"49116160\", alpha=\"0.02\", expect_size=\"19646464\"] \n  31 -> 39 [size =\"19646464\"]\n  31 -> 43 [size =\"19646464\"]\n  32 [size=\"25589760\", alpha=\"0.05\", expect_size=\"10235904\"] \n  32 -> 40 [size =\"10235904\"]\n  32 -> 44 [size =\"10235904\"]\n  33 [size=\"43671040\", alpha=\"0.05\", expect_size=\"17468416\"] \n  33 -> 40 [size =\"17468416\"]\n  33 -> 43 [size =\"17468416\"]\n  33 -> 44 [size =\"17468416\"]\n  34 [size=\"108753920\", alpha=\"0.04\", expect_size=\"43501568\"] \n  34 -> 39 [size =\"43501568\"]\n  34 -> 41 [size =\"43501568\"]\n  34 -> 43 [size =\"43501568\"]\n  34 -> 44 [size =\"43501568\"]\n  34 -> 45 [size =\"43501568\"]\n  35 [size=\"60446720\", alpha=\"0.11\", expect_size=\"24178688\"] \n  35 -> 37 [size =\"24178688\"]\n  35 -> 39 [size =\"24178688\"]\n  35 -> 41 [size =\"24178688\"]\n  35 -> 42 [size =\"24178688\"]\n  36 [size=\"53660160\", alpha=\"0.19\", expect_size=\"21464064\"] \n  37 [size=\"80061440\", alpha=\"0.12\", expect_size=\"32024576\"] \n  38 [size=\"101076480\", alpha=\"0.03\", expect_size=\"40430592\"] \n  39 [size=\"47667200\", alpha=\"0.08\", expect_size=\"19066880\"] \n  40 [size=\"127511040\", alpha=\"0.10\", expect_size=\"51004416\"] \n  41 [size=\"24704000\", alpha=\"0.09\", expect_size=\"9881600\"] \n  42 [size=\"39252480\", alpha=\"0.09\", expect_size=\"15700992\"] \n  43 [size=\"69281280\", alpha=\"0.19\", expect_size=\"27712512\"] \n  44 [size=\"98880000\", alpha=\"0.11\", expect_size=\"39552000\"] \n  45 [size=\"125186560\", alpha=\"0.14\", expect_size=\"50074624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56202240\", alpha=\"0.08\", expect_size=\"22480896\"] \n  1 -> 17 [size =\"22480896\"]\n  1 -> 19 [size =\"22480896\"]\n  1 -> 20 [size =\"22480896\"]\n  1 -> 23 [size =\"22480896\"]\n  1 -> 25 [size =\"22480896\"]\n  1 -> 27 [size =\"22480896\"]\n  2 [size=\"122595840\", alpha=\"0.13\", expect_size=\"49038336\"] \n  2 -> 15 [size =\"49038336\"]\n  2 -> 16 [size =\"49038336\"]\n  2 -> 17 [size =\"49038336\"]\n  2 -> 19 [size =\"49038336\"]\n  2 -> 23 [size =\"49038336\"]\n  2 -> 25 [size =\"49038336\"]\n  2 -> 28 [size =\"49038336\"]\n  3 [size=\"109153280\", alpha=\"0.09\", expect_size=\"43661312\"] \n  3 -> 15 [size =\"43661312\"]\n  3 -> 16 [size =\"43661312\"]\n  3 -> 17 [size =\"43661312\"]\n  3 -> 18 [size =\"43661312\"]\n  3 -> 19 [size =\"43661312\"]\n  3 -> 23 [size =\"43661312\"]\n  3 -> 25 [size =\"43661312\"]\n  3 -> 28 [size =\"43661312\"]\n  4 [size=\"104176640\", alpha=\"0.16\", expect_size=\"41670656\"] \n  4 -> 15 [size =\"41670656\"]\n  4 -> 19 [size =\"41670656\"]\n  4 -> 23 [size =\"41670656\"]\n  4 -> 25 [size =\"41670656\"]\n  5 [size=\"114864640\", alpha=\"0.09\", expect_size=\"45945856\"] \n  5 -> 18 [size =\"45945856\"]\n  5 -> 21 [size =\"45945856\"]\n  6 [size=\"82608640\", alpha=\"0.06\", expect_size=\"33043456\"] \n  6 -> 16 [size =\"33043456\"]\n  6 -> 17 [size =\"33043456\"]\n  6 -> 18 [size =\"33043456\"]\n  6 -> 20 [size =\"33043456\"]\n  6 -> 22 [size =\"33043456\"]\n  6 -> 28 [size =\"33043456\"]\n  7 [size=\"31498240\", alpha=\"0.03\", expect_size=\"12599296\"] \n  7 -> 15 [size =\"12599296\"]\n  7 -> 18 [size =\"12599296\"]\n  7 -> 20 [size =\"12599296\"]\n  7 -> 24 [size =\"12599296\"]\n  8 [size=\"109207040\", alpha=\"0.04\", expect_size=\"43682816\"] \n  8 -> 15 [size =\"43682816\"]\n  8 -> 16 [size =\"43682816\"]\n  8 -> 19 [size =\"43682816\"]\n  8 -> 21 [size =\"43682816\"]\n  8 -> 22 [size =\"43682816\"]\n  8 -> 23 [size =\"43682816\"]\n  8 -> 25 [size =\"43682816\"]\n  8 -> 28 [size =\"43682816\"]\n  9 [size=\"33991680\", alpha=\"0.19\", expect_size=\"13596672\"] \n  9 -> 15 [size =\"13596672\"]\n  9 -> 16 [size =\"13596672\"]\n  9 -> 25 [size =\"13596672\"]\n  9 -> 28 [size =\"13596672\"]\n  10 [size=\"45268480\", alpha=\"0.10\", expect_size=\"18107392\"] \n  10 -> 15 [size =\"18107392\"]\n  10 -> 16 [size =\"18107392\"]\n  10 -> 17 [size =\"18107392\"]\n  10 -> 20 [size =\"18107392\"]\n  10 -> 22 [size =\"18107392\"]\n  10 -> 25 [size =\"18107392\"]\n  10 -> 27 [size =\"18107392\"]\n  11 [size=\"40844800\", alpha=\"0.19\", expect_size=\"16337920\"] \n  11 -> 18 [size =\"16337920\"]\n  11 -> 19 [size =\"16337920\"]\n  11 -> 20 [size =\"16337920\"]\n  11 -> 21 [size =\"16337920\"]\n  11 -> 23 [size =\"16337920\"]\n  11 -> 25 [size =\"16337920\"]\n  11 -> 28 [size =\"16337920\"]\n  12 [size=\"87603200\", alpha=\"0.06\", expect_size=\"35041280\"] \n  12 -> 16 [size =\"35041280\"]\n  12 -> 19 [size =\"35041280\"]\n  12 -> 22 [size =\"35041280\"]\n  12 -> 24 [size =\"35041280\"]\n  12 -> 25 [size =\"35041280\"]\n  13 [size=\"47040000\", alpha=\"0.08\", expect_size=\"18816000\"] \n  13 -> 15 [size =\"18816000\"]\n  13 -> 19 [size =\"18816000\"]\n  13 -> 23 [size =\"18816000\"]\n  13 -> 26 [size =\"18816000\"]\n  14 [size=\"101703680\", alpha=\"0.08\", expect_size=\"40681472\"] \n  14 -> 15 [size =\"40681472\"]\n  14 -> 17 [size =\"40681472\"]\n  14 -> 19 [size =\"40681472\"]\n  14 -> 20 [size =\"40681472\"]\n  14 -> 21 [size =\"40681472\"]\n  14 -> 23 [size =\"40681472\"]\n  15 [size=\"77596160\", alpha=\"0.10\", expect_size=\"31038464\"] \n  15 -> 29 [size =\"31038464\"]\n  15 -> 30 [size =\"31038464\"]\n  15 -> 33 [size =\"31038464\"]\n  15 -> 38 [size =\"31038464\"]\n  15 -> 39 [size =\"31038464\"]\n  15 -> 44 [size =\"31038464\"]\n  16 [size=\"13524480\", alpha=\"0.19\", expect_size=\"5409792\"] \n  16 -> 33 [size =\"5409792\"]\n  16 -> 38 [size =\"5409792\"]\n  16 -> 39 [size =\"5409792\"]\n  16 -> 43 [size =\"5409792\"]\n  16 -> 45 [size =\"5409792\"]\n  17 [size=\"50880000\", alpha=\"0.12\", expect_size=\"20352000\"] \n  17 -> 30 [size =\"20352000\"]\n  17 -> 33 [size =\"20352000\"]\n  17 -> 36 [size =\"20352000\"]\n  17 -> 37 [size =\"20352000\"]\n  17 -> 38 [size =\"20352000\"]\n  17 -> 39 [size =\"20352000\"]\n  17 -> 42 [size =\"20352000\"]\n  18 [size=\"69250560\", alpha=\"0.15\", expect_size=\"27700224\"] \n  18 -> 29 [size =\"27700224\"]\n  18 -> 33 [size =\"27700224\"]\n  18 -> 36 [size =\"27700224\"]\n  18 -> 39 [size =\"27700224\"]\n  18 -> 45 [size =\"27700224\"]\n  19 [size=\"90332160\", alpha=\"0.13\", expect_size=\"36132864\"] \n  19 -> 31 [size =\"36132864\"]\n  19 -> 35 [size =\"36132864\"]\n  19 -> 36 [size =\"36132864\"]\n  19 -> 38 [size =\"36132864\"]\n  19 -> 39 [size =\"36132864\"]\n  19 -> 42 [size =\"36132864\"]\n  19 -> 45 [size =\"36132864\"]\n  20 [size=\"84239360\", alpha=\"0.01\", expect_size=\"33695744\"] \n  20 -> 29 [size =\"33695744\"]\n  20 -> 36 [size =\"33695744\"]\n  20 -> 36 [size =\"33695744\"]\n  20 -> 37 [size =\"33695744\"]\n  20 -> 40 [size =\"33695744\"]\n  20 -> 41 [size =\"33695744\"]\n  20 -> 42 [size =\"33695744\"]\n  21 [size=\"24737280\", alpha=\"0.16\", expect_size=\"9894912\"] \n  21 -> 30 [size =\"9894912\"]\n  21 -> 32 [size =\"9894912\"]\n  21 -> 33 [size =\"9894912\"]\n  21 -> 36 [size =\"9894912\"]\n  21 -> 37 [size =\"9894912\"]\n  21 -> 38 [size =\"9894912\"]\n  21 -> 39 [size =\"9894912\"]\n  21 -> 41 [size =\"9894912\"]\n  22 [size=\"19663360\", alpha=\"0.10\", expect_size=\"7865344\"] \n  22 -> 30 [size =\"7865344\"]\n  22 -> 31 [size =\"7865344\"]\n  22 -> 33 [size =\"7865344\"]\n  22 -> 37 [size =\"7865344\"]\n  22 -> 38 [size =\"7865344\"]\n  22 -> 39 [size =\"7865344\"]\n  22 -> 41 [size =\"7865344\"]\n  22 -> 43 [size =\"7865344\"]\n  23 [size=\"52211200\", alpha=\"0.20\", expect_size=\"20884480\"] \n  23 -> 31 [size =\"20884480\"]\n  23 -> 34 [size =\"20884480\"]\n  23 -> 37 [size =\"20884480\"]\n  23 -> 39 [size =\"20884480\"]\n  23 -> 42 [size =\"20884480\"]\n  24 [size=\"100090880\", alpha=\"0.05\", expect_size=\"40036352\"] \n  24 -> 29 [size =\"40036352\"]\n  24 -> 30 [size =\"40036352\"]\n  24 -> 38 [size =\"40036352\"]\n  24 -> 39 [size =\"40036352\"]\n  25 [size=\"27832320\", alpha=\"0.08\", expect_size=\"11132928\"] \n  25 -> 29 [size =\"11132928\"]\n  25 -> 30 [size =\"11132928\"]\n  25 -> 31 [size =\"11132928\"]\n  25 -> 33 [size =\"11132928\"]\n  25 -> 35 [size =\"11132928\"]\n  25 -> 36 [size =\"11132928\"]\n  25 -> 38 [size =\"11132928\"]\n  25 -> 40 [size =\"11132928\"]\n  25 -> 44 [size =\"11132928\"]\n  26 [size=\"86333440\", alpha=\"0.03\", expect_size=\"34533376\"] \n  26 -> 29 [size =\"34533376\"]\n  26 -> 30 [size =\"34533376\"]\n  26 -> 31 [size =\"34533376\"]\n  26 -> 36 [size =\"34533376\"]\n  26 -> 43 [size =\"34533376\"]\n  27 [size=\"77550080\", alpha=\"0.00\", expect_size=\"31020032\"] \n  27 -> 30 [size =\"31020032\"]\n  27 -> 31 [size =\"31020032\"]\n  27 -> 36 [size =\"31020032\"]\n  27 -> 38 [size =\"31020032\"]\n  27 -> 41 [size =\"31020032\"]\n  27 -> 42 [size =\"31020032\"]\n  27 -> 43 [size =\"31020032\"]\n  28 [size=\"27432960\", alpha=\"0.14\", expect_size=\"10973184\"] \n  28 -> 30 [size =\"10973184\"]\n  28 -> 39 [size =\"10973184\"]\n  29 [size=\"116032000\", alpha=\"0.12\", expect_size=\"46412800\"] \n  30 [size=\"74012160\", alpha=\"0.15\", expect_size=\"29604864\"] \n  31 [size=\"78602240\", alpha=\"0.02\", expect_size=\"31440896\"] \n  32 [size=\"54937600\", alpha=\"0.03\", expect_size=\"21975040\"] \n  33 [size=\"112509440\", alpha=\"0.09\", expect_size=\"45003776\"] \n  34 [size=\"111429120\", alpha=\"0.10\", expect_size=\"44571648\"] \n  35 [size=\"24806400\", alpha=\"0.02\", expect_size=\"9922560\"] \n  36 [size=\"72366080\", alpha=\"0.14\", expect_size=\"28946432\"] \n  37 [size=\"87677440\", alpha=\"0.12\", expect_size=\"35070976\"] \n  38 [size=\"89134080\", alpha=\"0.00\", expect_size=\"35653632\"] \n  39 [size=\"54876160\", alpha=\"0.01\", expect_size=\"21950464\"] \n  40 [size=\"123750400\", alpha=\"0.14\", expect_size=\"49500160\"] \n  41 [size=\"91988480\", alpha=\"0.09\", expect_size=\"36795392\"] \n  42 [size=\"105297920\", alpha=\"0.06\", expect_size=\"42119168\"] \n  43 [size=\"120207360\", alpha=\"0.08\", expect_size=\"48082944\"] \n  44 [size=\"52687360\", alpha=\"0.06\", expect_size=\"21074944\"] \n  45 [size=\"109301760\", alpha=\"0.06\", expect_size=\"43720704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170376533\", alpha=\"0.09\", expect_size=\"51112960\"] \n  1 -> 5 [size =\"51112960\"]\n  2 [size=\"58378240\", alpha=\"0.08\", expect_size=\"17513472\"] \n  2 -> 4 [size =\"17513472\"]\n  2 -> 6 [size =\"17513472\"]\n  3 [size=\"138356053\", alpha=\"0.12\", expect_size=\"41506816\"] \n  3 -> 5 [size =\"41506816\"]\n  4 [size=\"27149653\", alpha=\"0.01\", expect_size=\"8144896\"] \n  4 -> 7 [size =\"8144896\"]\n  4 -> 8 [size =\"8144896\"]\n  5 [size=\"95593813\", alpha=\"0.19\", expect_size=\"28678144\"] \n  5 -> 7 [size =\"28678144\"]\n  5 -> 8 [size =\"28678144\"]\n  5 -> 9 [size =\"28678144\"]\n  6 [size=\"27337387\", alpha=\"0.05\", expect_size=\"8201216\"] \n  7 [size=\"80175787\", alpha=\"0.14\", expect_size=\"24052736\"] \n  7 -> 10 [size =\"24052736\"]\n  7 -> 11 [size =\"24052736\"]\n  8 [size=\"43175253\", alpha=\"0.17\", expect_size=\"12952576\"] \n  9 [size=\"166560427\", alpha=\"0.08\", expect_size=\"49968128\"] \n  10 [size=\"52647253\", alpha=\"0.18\", expect_size=\"15794176\"] \n  10 -> 12 [size =\"15794176\"]\n  11 [size=\"128447147\", alpha=\"0.03\", expect_size=\"38534144\"] \n  11 -> 13 [size =\"38534144\"]\n  12 [size=\"43120640\", alpha=\"0.04\", expect_size=\"12936192\"] \n  12 -> 15 [size =\"12936192\"]\n  13 [size=\"105035093\", alpha=\"0.06\", expect_size=\"31510528\"] \n  13 -> 14 [size =\"31510528\"]\n  14 [size=\"41086293\", alpha=\"0.08\", expect_size=\"12325888\"] \n  14 -> 17 [size =\"12325888\"]\n  14 -> 18 [size =\"12325888\"]\n  15 [size=\"52210347\", alpha=\"0.04\", expect_size=\"15663104\"] \n  15 -> 16 [size =\"15663104\"]\n  16 [size=\"43332267\", alpha=\"0.20\", expect_size=\"12999680\"] \n  16 -> 20 [size =\"12999680\"]\n  17 [size=\"86176427\", alpha=\"0.09\", expect_size=\"25852928\"] \n  17 -> 19 [size =\"25852928\"]\n  18 [size=\"35959467\", alpha=\"0.17\", expect_size=\"10787840\"] \n  18 -> 20 [size =\"10787840\"]\n  19 [size=\"166338560\", alpha=\"0.17\", expect_size=\"49901568\"] \n  19 -> 22 [size =\"49901568\"]\n  20 [size=\"74052267\", alpha=\"0.13\", expect_size=\"22215680\"] \n  20 -> 21 [size =\"22215680\"]\n  20 -> 23 [size =\"22215680\"]\n  21 [size=\"55801173\", alpha=\"0.08\", expect_size=\"16740352\"] \n  21 -> 24 [size =\"16740352\"]\n  22 [size=\"77219840\", alpha=\"0.08\", expect_size=\"23165952\"] \n  22 -> 25 [size =\"23165952\"]\n  22 -> 26 [size =\"23165952\"]\n  23 [size=\"107117227\", alpha=\"0.04\", expect_size=\"32135168\"] \n  23 -> 24 [size =\"32135168\"]\n  23 -> 25 [size =\"32135168\"]\n  23 -> 26 [size =\"32135168\"]\n  24 [size=\"157904213\", alpha=\"0.01\", expect_size=\"47371264\"] \n  24 -> 28 [size =\"47371264\"]\n  25 [size=\"63283200\", alpha=\"0.08\", expect_size=\"18984960\"] \n  25 -> 28 [size =\"18984960\"]\n  26 [size=\"93545813\", alpha=\"0.16\", expect_size=\"28063744\"] \n  26 -> 27 [size =\"28063744\"]\n  27 [size=\"92112213\", alpha=\"0.12\", expect_size=\"27633664\"] \n  27 -> 31 [size =\"27633664\"]\n  28 [size=\"161044480\", alpha=\"0.11\", expect_size=\"48313344\"] \n  28 -> 29 [size =\"48313344\"]\n  28 -> 30 [size =\"48313344\"]\n  29 [size=\"140189013\", alpha=\"0.09\", expect_size=\"42056704\"] \n  29 -> 33 [size =\"42056704\"]\n  29 -> 34 [size =\"42056704\"]\n  30 [size=\"119575893\", alpha=\"0.12\", expect_size=\"35872768\"] \n  30 -> 32 [size =\"35872768\"]\n  30 -> 33 [size =\"35872768\"]\n  31 [size=\"64457387\", alpha=\"0.09\", expect_size=\"19337216\"] \n  32 [size=\"127733760\", alpha=\"0.09\", expect_size=\"38320128\"] \n  32 -> 35 [size =\"38320128\"]\n  32 -> 36 [size =\"38320128\"]\n  32 -> 37 [size =\"38320128\"]\n  33 [size=\"35737600\", alpha=\"0.00\", expect_size=\"10721280\"] \n  34 [size=\"66631680\", alpha=\"0.14\", expect_size=\"19989504\"] \n  34 -> 35 [size =\"19989504\"]\n  34 -> 37 [size =\"19989504\"]\n  35 [size=\"72813227\", alpha=\"0.13\", expect_size=\"21843968\"] \n  35 -> 38 [size =\"21843968\"]\n  35 -> 39 [size =\"21843968\"]\n  36 [size=\"132396373\", alpha=\"0.15\", expect_size=\"39718912\"] \n  36 -> 38 [size =\"39718912\"]\n  36 -> 39 [size =\"39718912\"]\n  37 [size=\"97962667\", alpha=\"0.05\", expect_size=\"29388800\"] \n  38 [size=\"32204800\", alpha=\"0.18\", expect_size=\"9661440\"] \n  38 -> 42 [size =\"9661440\"]\n  39 [size=\"118118400\", alpha=\"0.10\", expect_size=\"35435520\"] \n  39 -> 40 [size =\"35435520\"]\n  39 -> 41 [size =\"35435520\"]\n  40 [size=\"32921600\", alpha=\"0.10\", expect_size=\"9876480\"] \n  41 [size=\"126361600\", alpha=\"0.14\", expect_size=\"37908480\"] \n  41 -> 43 [size =\"37908480\"]\n  41 -> 44 [size =\"37908480\"]\n  42 [size=\"37550080\", alpha=\"0.05\", expect_size=\"11265024\"] \n  43 [size=\"106707627\", alpha=\"0.08\", expect_size=\"32012288\"] \n  44 [size=\"106820267\", alpha=\"0.09\", expect_size=\"32046080\"] \n  44 -> 45 [size =\"32046080\"]\n  45 [size=\"61498027\", alpha=\"0.16\", expect_size=\"18449408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75759616\", alpha=\"0.17\", expect_size=\"37879808\"] \n  1 -> 17 [size =\"37879808\"]\n  1 -> 19 [size =\"37879808\"]\n  1 -> 20 [size =\"37879808\"]\n  1 -> 26 [size =\"37879808\"]\n  2 [size=\"104116224\", alpha=\"0.03\", expect_size=\"52058112\"] \n  2 -> 14 [size =\"52058112\"]\n  2 -> 17 [size =\"52058112\"]\n  2 -> 18 [size =\"52058112\"]\n  2 -> 19 [size =\"52058112\"]\n  3 [size=\"25563136\", alpha=\"0.17\", expect_size=\"12781568\"] \n  3 -> 24 [size =\"12781568\"]\n  4 [size=\"74586112\", alpha=\"0.04\", expect_size=\"37293056\"] \n  4 -> 23 [size =\"37293056\"]\n  4 -> 24 [size =\"37293056\"]\n  4 -> 25 [size =\"37293056\"]\n  5 [size=\"88231936\", alpha=\"0.17\", expect_size=\"44115968\"] \n  5 -> 21 [size =\"44115968\"]\n  5 -> 25 [size =\"44115968\"]\n  5 -> 25 [size =\"44115968\"]\n  6 [size=\"16537600\", alpha=\"0.07\", expect_size=\"8268800\"] \n  6 -> 18 [size =\"8268800\"]\n  6 -> 20 [size =\"8268800\"]\n  6 -> 25 [size =\"8268800\"]\n  7 [size=\"99747840\", alpha=\"0.04\", expect_size=\"49873920\"] \n  7 -> 14 [size =\"49873920\"]\n  7 -> 15 [size =\"49873920\"]\n  7 -> 16 [size =\"49873920\"]\n  7 -> 17 [size =\"49873920\"]\n  7 -> 19 [size =\"49873920\"]\n  7 -> 20 [size =\"49873920\"]\n  7 -> 26 [size =\"49873920\"]\n  8 [size=\"17614848\", alpha=\"0.19\", expect_size=\"8807424\"] \n  8 -> 17 [size =\"8807424\"]\n  8 -> 19 [size =\"8807424\"]\n  8 -> 23 [size =\"8807424\"]\n  8 -> 26 [size =\"8807424\"]\n  9 [size=\"33343488\", alpha=\"0.14\", expect_size=\"16671744\"] \n  9 -> 17 [size =\"16671744\"]\n  9 -> 18 [size =\"16671744\"]\n  9 -> 19 [size =\"16671744\"]\n  9 -> 22 [size =\"16671744\"]\n  10 [size=\"74135552\", alpha=\"0.18\", expect_size=\"37067776\"] \n  10 -> 15 [size =\"37067776\"]\n  10 -> 18 [size =\"37067776\"]\n  10 -> 20 [size =\"37067776\"]\n  10 -> 21 [size =\"37067776\"]\n  10 -> 23 [size =\"37067776\"]\n  11 [size=\"87474176\", alpha=\"0.03\", expect_size=\"43737088\"] \n  11 -> 19 [size =\"43737088\"]\n  11 -> 23 [size =\"43737088\"]\n  11 -> 25 [size =\"43737088\"]\n  12 [size=\"74919936\", alpha=\"0.11\", expect_size=\"37459968\"] \n  12 -> 14 [size =\"37459968\"]\n  12 -> 17 [size =\"37459968\"]\n  12 -> 18 [size =\"37459968\"]\n  12 -> 20 [size =\"37459968\"]\n  12 -> 23 [size =\"37459968\"]\n  12 -> 26 [size =\"37459968\"]\n  13 [size=\"88754176\", alpha=\"0.03\", expect_size=\"44377088\"] \n  13 -> 24 [size =\"44377088\"]\n  13 -> 27 [size =\"44377088\"]\n  14 [size=\"76462080\", alpha=\"0.08\", expect_size=\"38231040\"] \n  14 -> 34 [size =\"38231040\"]\n  15 [size=\"94597120\", alpha=\"0.08\", expect_size=\"47298560\"] \n  15 -> 34 [size =\"47298560\"]\n  15 -> 37 [size =\"47298560\"]\n  15 -> 39 [size =\"47298560\"]\n  16 [size=\"80574464\", alpha=\"0.19\", expect_size=\"40287232\"] \n  16 -> 34 [size =\"40287232\"]\n  16 -> 35 [size =\"40287232\"]\n  16 -> 38 [size =\"40287232\"]\n  16 -> 39 [size =\"40287232\"]\n  17 [size=\"20185088\", alpha=\"0.02\", expect_size=\"10092544\"] \n  17 -> 34 [size =\"10092544\"]\n  17 -> 35 [size =\"10092544\"]\n  17 -> 40 [size =\"10092544\"]\n  18 [size=\"40736768\", alpha=\"0.02\", expect_size=\"20368384\"] \n  18 -> 29 [size =\"20368384\"]\n  18 -> 33 [size =\"20368384\"]\n  18 -> 34 [size =\"20368384\"]\n  18 -> 35 [size =\"20368384\"]\n  18 -> 37 [size =\"20368384\"]\n  18 -> 39 [size =\"20368384\"]\n  19 [size=\"35129344\", alpha=\"0.05\", expect_size=\"17564672\"] \n  19 -> 38 [size =\"17564672\"]\n  19 -> 40 [size =\"17564672\"]\n  20 [size=\"102539264\", alpha=\"0.03\", expect_size=\"51269632\"] \n  20 -> 30 [size =\"51269632\"]\n  20 -> 34 [size =\"51269632\"]\n  20 -> 38 [size =\"51269632\"]\n  21 [size=\"91451392\", alpha=\"0.14\", expect_size=\"45725696\"] \n  21 -> 37 [size =\"45725696\"]\n  22 [size=\"11823104\", alpha=\"0.05\", expect_size=\"5911552\"] \n  22 -> 28 [size =\"5911552\"]\n  22 -> 30 [size =\"5911552\"]\n  22 -> 34 [size =\"5911552\"]\n  22 -> 37 [size =\"5911552\"]\n  22 -> 38 [size =\"5911552\"]\n  22 -> 39 [size =\"5911552\"]\n  23 [size=\"61571072\", alpha=\"0.20\", expect_size=\"30785536\"] \n  23 -> 32 [size =\"30785536\"]\n  23 -> 35 [size =\"30785536\"]\n  23 -> 36 [size =\"30785536\"]\n  23 -> 38 [size =\"30785536\"]\n  23 -> 39 [size =\"30785536\"]\n  24 [size=\"73787392\", alpha=\"0.07\", expect_size=\"36893696\"] \n  24 -> 39 [size =\"36893696\"]\n  24 -> 40 [size =\"36893696\"]\n  25 [size=\"15378432\", alpha=\"0.12\", expect_size=\"7689216\"] \n  25 -> 30 [size =\"7689216\"]\n  25 -> 39 [size =\"7689216\"]\n  26 [size=\"51474432\", alpha=\"0.18\", expect_size=\"25737216\"] \n  26 -> 32 [size =\"25737216\"]\n  26 -> 38 [size =\"25737216\"]\n  27 [size=\"48979968\", alpha=\"0.02\", expect_size=\"24489984\"] \n  27 -> 31 [size =\"24489984\"]\n  27 -> 32 [size =\"24489984\"]\n  27 -> 37 [size =\"24489984\"]\n  27 -> 40 [size =\"24489984\"]\n  28 [size=\"58017792\", alpha=\"0.08\", expect_size=\"29008896\"] \n  28 -> 43 [size =\"29008896\"]\n  28 -> 45 [size =\"29008896\"]\n  29 [size=\"66697216\", alpha=\"0.19\", expect_size=\"33348608\"] \n  29 -> 42 [size =\"33348608\"]\n  29 -> 43 [size =\"33348608\"]\n  29 -> 45 [size =\"33348608\"]\n  30 [size=\"92172288\", alpha=\"0.04\", expect_size=\"46086144\"] \n  30 -> 43 [size =\"46086144\"]\n  30 -> 44 [size =\"46086144\"]\n  30 -> 45 [size =\"46086144\"]\n  31 [size=\"11245568\", alpha=\"0.04\", expect_size=\"5622784\"] \n  31 -> 45 [size =\"5622784\"]\n  32 [size=\"77934592\", alpha=\"0.19\", expect_size=\"38967296\"] \n  32 -> 43 [size =\"38967296\"]\n  33 [size=\"102756352\", alpha=\"0.10\", expect_size=\"51378176\"] \n  33 -> 42 [size =\"51378176\"]\n  34 [size=\"100788224\", alpha=\"0.15\", expect_size=\"50394112\"] \n  34 -> 41 [size =\"50394112\"]\n  35 [size=\"41762816\", alpha=\"0.17\", expect_size=\"20881408\"] \n  35 -> 42 [size =\"20881408\"]\n  35 -> 43 [size =\"20881408\"]\n  36 [size=\"97796096\", alpha=\"0.15\", expect_size=\"48898048\"] \n  36 -> 42 [size =\"48898048\"]\n  37 [size=\"86200320\", alpha=\"0.15\", expect_size=\"43100160\"] \n  37 -> 44 [size =\"43100160\"]\n  37 -> 45 [size =\"43100160\"]\n  38 [size=\"96235520\", alpha=\"0.01\", expect_size=\"48117760\"] \n  38 -> 44 [size =\"48117760\"]\n  39 [size=\"40665088\", alpha=\"0.12\", expect_size=\"20332544\"] \n  39 -> 41 [size =\"20332544\"]\n  40 [size=\"36716544\", alpha=\"0.03\", expect_size=\"18358272\"] \n  40 -> 42 [size =\"18358272\"]\n  40 -> 45 [size =\"18358272\"]\n  41 [size=\"53671936\", alpha=\"0.11\", expect_size=\"26835968\"] \n  42 [size=\"74145792\", alpha=\"0.19\", expect_size=\"37072896\"] \n  43 [size=\"68202496\", alpha=\"0.19\", expect_size=\"34101248\"] \n  44 [size=\"19742720\", alpha=\"0.11\", expect_size=\"9871360\"] \n  45 [size=\"89112576\", alpha=\"0.05\", expect_size=\"44556288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120079360\", alpha=\"0.05\", expect_size=\"48031744\"] \n  1 -> 3 [size =\"48031744\"]\n  1 -> 4 [size =\"48031744\"]\n  2 [size=\"124372480\", alpha=\"0.09\", expect_size=\"49748992\"] \n  2 -> 5 [size =\"49748992\"]\n  3 [size=\"38220800\", alpha=\"0.17\", expect_size=\"15288320\"] \n  3 -> 7 [size =\"15288320\"]\n  3 -> 8 [size =\"15288320\"]\n  4 [size=\"57848320\", alpha=\"0.06\", expect_size=\"23139328\"] \n  4 -> 6 [size =\"23139328\"]\n  5 [size=\"112189440\", alpha=\"0.04\", expect_size=\"44875776\"] \n  6 [size=\"57356800\", alpha=\"0.15\", expect_size=\"22942720\"] \n  6 -> 10 [size =\"22942720\"]\n  6 -> 11 [size =\"22942720\"]\n  7 [size=\"108705280\", alpha=\"0.04\", expect_size=\"43482112\"] \n  7 -> 9 [size =\"43482112\"]\n  8 [size=\"97822720\", alpha=\"0.09\", expect_size=\"39129088\"] \n  8 -> 9 [size =\"39129088\"]\n  9 [size=\"78963200\", alpha=\"0.18\", expect_size=\"31585280\"] \n  9 -> 12 [size =\"31585280\"]\n  9 -> 14 [size =\"31585280\"]\n  10 [size=\"100800000\", alpha=\"0.14\", expect_size=\"40320000\"] \n  10 -> 12 [size =\"40320000\"]\n  10 -> 14 [size =\"40320000\"]\n  11 [size=\"80486400\", alpha=\"0.01\", expect_size=\"32194560\"] \n  11 -> 13 [size =\"32194560\"]\n  12 [size=\"107486720\", alpha=\"0.11\", expect_size=\"42994688\"] \n  12 -> 15 [size =\"42994688\"]\n  12 -> 16 [size =\"42994688\"]\n  13 [size=\"41520640\", alpha=\"0.16\", expect_size=\"16608256\"] \n  14 [size=\"21447680\", alpha=\"0.04\", expect_size=\"8579072\"] \n  15 [size=\"57781760\", alpha=\"0.16\", expect_size=\"23112704\"] \n  15 -> 17 [size =\"23112704\"]\n  15 -> 18 [size =\"23112704\"]\n  16 [size=\"80033280\", alpha=\"0.05\", expect_size=\"32013312\"] \n  17 [size=\"51863040\", alpha=\"0.02\", expect_size=\"20745216\"] \n  17 -> 20 [size =\"20745216\"]\n  18 [size=\"74199040\", alpha=\"0.10\", expect_size=\"29679616\"] \n  18 -> 19 [size =\"29679616\"]\n  19 [size=\"124444160\", alpha=\"0.19\", expect_size=\"49777664\"] \n  19 -> 23 [size =\"49777664\"]\n  20 [size=\"110451200\", alpha=\"0.00\", expect_size=\"44180480\"] \n  20 -> 21 [size =\"44180480\"]\n  20 -> 22 [size =\"44180480\"]\n  21 [size=\"76815360\", alpha=\"0.19\", expect_size=\"30726144\"] \n  21 -> 25 [size =\"30726144\"]\n  21 -> 26 [size =\"30726144\"]\n  22 [size=\"80527360\", alpha=\"0.17\", expect_size=\"32210944\"] \n  22 -> 25 [size =\"32210944\"]\n  23 [size=\"26762240\", alpha=\"0.19\", expect_size=\"10704896\"] \n  23 -> 24 [size =\"10704896\"]\n  23 -> 26 [size =\"10704896\"]\n  24 [size=\"118579200\", alpha=\"0.09\", expect_size=\"47431680\"] \n  24 -> 27 [size =\"47431680\"]\n  24 -> 28 [size =\"47431680\"]\n  25 [size=\"22159360\", alpha=\"0.15\", expect_size=\"8863744\"] \n  25 -> 28 [size =\"8863744\"]\n  26 [size=\"116666880\", alpha=\"0.09\", expect_size=\"46666752\"] \n  27 [size=\"28766720\", alpha=\"0.19\", expect_size=\"11506688\"] \n  27 -> 30 [size =\"11506688\"]\n  28 [size=\"43297280\", alpha=\"0.04\", expect_size=\"17318912\"] \n  28 -> 29 [size =\"17318912\"]\n  28 -> 31 [size =\"17318912\"]\n  29 [size=\"104289280\", alpha=\"0.20\", expect_size=\"41715712\"] \n  29 -> 32 [size =\"41715712\"]\n  30 [size=\"101027840\", alpha=\"0.10\", expect_size=\"40411136\"] \n  31 [size=\"102566400\", alpha=\"0.12\", expect_size=\"41026560\"] \n  31 -> 32 [size =\"41026560\"]\n  31 -> 33 [size =\"41026560\"]\n  32 [size=\"97912320\", alpha=\"0.10\", expect_size=\"39164928\"] \n  33 [size=\"80371200\", alpha=\"0.13\", expect_size=\"32148480\"] \n  33 -> 34 [size =\"32148480\"]\n  33 -> 35 [size =\"32148480\"]\n  34 [size=\"75054080\", alpha=\"0.17\", expect_size=\"30021632\"] \n  34 -> 36 [size =\"30021632\"]\n  34 -> 37 [size =\"30021632\"]\n  35 [size=\"126707200\", alpha=\"0.09\", expect_size=\"50682880\"] \n  36 [size=\"98480640\", alpha=\"0.12\", expect_size=\"39392256\"] \n  36 -> 38 [size =\"39392256\"]\n  36 -> 39 [size =\"39392256\"]\n  37 [size=\"34626560\", alpha=\"0.02\", expect_size=\"13850624\"] \n  37 -> 40 [size =\"13850624\"]\n  38 [size=\"30745600\", alpha=\"0.02\", expect_size=\"12298240\"] \n  38 -> 41 [size =\"12298240\"]\n  38 -> 42 [size =\"12298240\"]\n  39 [size=\"53585920\", alpha=\"0.01\", expect_size=\"21434368\"] \n  39 -> 42 [size =\"21434368\"]\n  39 -> 43 [size =\"21434368\"]\n  40 [size=\"51046400\", alpha=\"0.16\", expect_size=\"20418560\"] \n  40 -> 43 [size =\"20418560\"]\n  41 [size=\"110814720\", alpha=\"0.03\", expect_size=\"44325888\"] \n  41 -> 45 [size =\"44325888\"]\n  42 [size=\"64345600\", alpha=\"0.00\", expect_size=\"25738240\"] \n  42 -> 44 [size =\"25738240\"]\n  42 -> 45 [size =\"25738240\"]\n  43 [size=\"123985920\", alpha=\"0.00\", expect_size=\"49594368\"] \n  43 -> 44 [size =\"49594368\"]\n  44 [size=\"82216960\", alpha=\"0.18\", expect_size=\"32886784\"] \n  45 [size=\"65346560\", alpha=\"0.18\", expect_size=\"26138624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94378667\", alpha=\"0.15\", expect_size=\"28313600\"] \n  1 -> 7 [size =\"28313600\"]\n  2 [size=\"92900693\", alpha=\"0.14\", expect_size=\"27870208\"] \n  2 -> 6 [size =\"27870208\"]\n  2 -> 7 [size =\"27870208\"]\n  3 [size=\"101843627\", alpha=\"0.11\", expect_size=\"30553088\"] \n  3 -> 7 [size =\"30553088\"]\n  3 -> 9 [size =\"30553088\"]\n  3 -> 10 [size =\"30553088\"]\n  4 [size=\"38154240\", alpha=\"0.18\", expect_size=\"11446272\"] \n  4 -> 6 [size =\"11446272\"]\n  4 -> 8 [size =\"11446272\"]\n  4 -> 9 [size =\"11446272\"]\n  5 [size=\"30986240\", alpha=\"0.02\", expect_size=\"9295872\"] \n  6 [size=\"119231147\", alpha=\"0.17\", expect_size=\"35769344\"] \n  6 -> 12 [size =\"35769344\"]\n  6 -> 13 [size =\"35769344\"]\n  7 [size=\"54524587\", alpha=\"0.09\", expect_size=\"16357376\"] \n  7 -> 12 [size =\"16357376\"]\n  7 -> 15 [size =\"16357376\"]\n  8 [size=\"47957333\", alpha=\"0.16\", expect_size=\"14387200\"] \n  8 -> 13 [size =\"14387200\"]\n  9 [size=\"107946667\", alpha=\"0.14\", expect_size=\"32384000\"] \n  9 -> 11 [size =\"32384000\"]\n  9 -> 15 [size =\"32384000\"]\n  10 [size=\"133106347\", alpha=\"0.08\", expect_size=\"39931904\"] \n  10 -> 14 [size =\"39931904\"]\n  10 -> 15 [size =\"39931904\"]\n  11 [size=\"69597867\", alpha=\"0.12\", expect_size=\"20879360\"] \n  11 -> 17 [size =\"20879360\"]\n  11 -> 18 [size =\"20879360\"]\n  11 -> 19 [size =\"20879360\"]\n  11 -> 20 [size =\"20879360\"]\n  12 [size=\"30839467\", alpha=\"0.09\", expect_size=\"9251840\"] \n  12 -> 17 [size =\"9251840\"]\n  12 -> 19 [size =\"9251840\"]\n  13 [size=\"144421547\", alpha=\"0.01\", expect_size=\"43326464\"] \n  14 [size=\"75683840\", alpha=\"0.15\", expect_size=\"22705152\"] \n  14 -> 16 [size =\"22705152\"]\n  15 [size=\"57661440\", alpha=\"0.20\", expect_size=\"17298432\"] \n  15 -> 17 [size =\"17298432\"]\n  16 [size=\"75277653\", alpha=\"0.20\", expect_size=\"22583296\"] \n  16 -> 22 [size =\"22583296\"]\n  16 -> 23 [size =\"22583296\"]\n  16 -> 25 [size =\"22583296\"]\n  16 -> 26 [size =\"22583296\"]\n  17 [size=\"50268160\", alpha=\"0.02\", expect_size=\"15080448\"] \n  17 -> 21 [size =\"15080448\"]\n  17 -> 25 [size =\"15080448\"]\n  17 -> 26 [size =\"15080448\"]\n  17 -> 26 [size =\"15080448\"]\n  18 [size=\"119398400\", alpha=\"0.12\", expect_size=\"35819520\"] \n  18 -> 24 [size =\"35819520\"]\n  19 [size=\"85869227\", alpha=\"0.10\", expect_size=\"25760768\"] \n  19 -> 21 [size =\"25760768\"]\n  19 -> 23 [size =\"25760768\"]\n  19 -> 24 [size =\"25760768\"]\n  20 [size=\"41065813\", alpha=\"0.15\", expect_size=\"12319744\"] \n  20 -> 22 [size =\"12319744\"]\n  20 -> 23 [size =\"12319744\"]\n  20 -> 27 [size =\"12319744\"]\n  21 [size=\"102099627\", alpha=\"0.09\", expect_size=\"30629888\"] \n  21 -> 29 [size =\"30629888\"]\n  21 -> 31 [size =\"30629888\"]\n  22 [size=\"37072213\", alpha=\"0.13\", expect_size=\"11121664\"] \n  22 -> 28 [size =\"11121664\"]\n  22 -> 30 [size =\"11121664\"]\n  22 -> 31 [size =\"11121664\"]\n  23 [size=\"111629653\", alpha=\"0.07\", expect_size=\"33488896\"] \n  23 -> 28 [size =\"33488896\"]\n  24 [size=\"115701760\", alpha=\"0.05\", expect_size=\"34710528\"] \n  24 -> 28 [size =\"34710528\"]\n  25 [size=\"74741760\", alpha=\"0.03\", expect_size=\"22422528\"] \n  25 -> 31 [size =\"22422528\"]\n  26 [size=\"74704213\", alpha=\"0.15\", expect_size=\"22411264\"] \n  26 -> 29 [size =\"22411264\"]\n  27 [size=\"74188800\", alpha=\"0.12\", expect_size=\"22256640\"] \n  28 [size=\"92224853\", alpha=\"0.12\", expect_size=\"27667456\"] \n  28 -> 33 [size =\"27667456\"]\n  28 -> 35 [size =\"27667456\"]\n  29 [size=\"29323947\", alpha=\"0.04\", expect_size=\"8797184\"] \n  29 -> 36 [size =\"8797184\"]\n  30 [size=\"109475840\", alpha=\"0.11\", expect_size=\"32842752\"] \n  30 -> 32 [size =\"32842752\"]\n  30 -> 34 [size =\"32842752\"]\n  31 [size=\"67485013\", alpha=\"0.04\", expect_size=\"20245504\"] \n  31 -> 33 [size =\"20245504\"]\n  31 -> 34 [size =\"20245504\"]\n  31 -> 36 [size =\"20245504\"]\n  32 [size=\"137533440\", alpha=\"0.19\", expect_size=\"41260032\"] \n  33 [size=\"80482987\", alpha=\"0.10\", expect_size=\"24144896\"] \n  33 -> 37 [size =\"24144896\"]\n  33 -> 39 [size =\"24144896\"]\n  34 [size=\"137987413\", alpha=\"0.09\", expect_size=\"41396224\"] \n  34 -> 39 [size =\"41396224\"]\n  34 -> 41 [size =\"41396224\"]\n  35 [size=\"173438293\", alpha=\"0.12\", expect_size=\"52031488\"] \n  35 -> 37 [size =\"52031488\"]\n  35 -> 38 [size =\"52031488\"]\n  35 -> 40 [size =\"52031488\"]\n  35 -> 42 [size =\"52031488\"]\n  36 [size=\"43062613\", alpha=\"0.03\", expect_size=\"12918784\"] \n  36 -> 37 [size =\"12918784\"]\n  36 -> 38 [size =\"12918784\"]\n  36 -> 42 [size =\"12918784\"]\n  37 [size=\"163184640\", alpha=\"0.19\", expect_size=\"48955392\"] \n  37 -> 44 [size =\"48955392\"]\n  38 [size=\"99003733\", alpha=\"0.07\", expect_size=\"29701120\"] \n  38 -> 44 [size =\"29701120\"]\n  38 -> 45 [size =\"29701120\"]\n  39 [size=\"38283947\", alpha=\"0.03\", expect_size=\"11485184\"] \n  39 -> 45 [size =\"11485184\"]\n  39 -> 45 [size =\"11485184\"]\n  40 [size=\"71499093\", alpha=\"0.03\", expect_size=\"21449728\"] \n  40 -> 43 [size =\"21449728\"]\n  41 [size=\"156999680\", alpha=\"0.14\", expect_size=\"47099904\"] \n  41 -> 43 [size =\"47099904\"]\n  42 [size=\"32331093\", alpha=\"0.07\", expect_size=\"9699328\"] \n  42 -> 44 [size =\"9699328\"]\n  43 [size=\"25432747\", alpha=\"0.12\", expect_size=\"7629824\"] \n  44 [size=\"105966933\", alpha=\"0.09\", expect_size=\"31790080\"] \n  45 [size=\"17565013\", alpha=\"0.14\", expect_size=\"5269504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75151360\", alpha=\"0.09\", expect_size=\"30060544\"] \n  1 -> 2 [size =\"30060544\"]\n  2 [size=\"27576320\", alpha=\"0.00\", expect_size=\"11030528\"] \n  2 -> 3 [size =\"11030528\"]\n  3 [size=\"31902720\", alpha=\"0.04\", expect_size=\"12761088\"] \n  3 -> 4 [size =\"12761088\"]\n  4 [size=\"15674880\", alpha=\"0.13\", expect_size=\"6269952\"] \n  4 -> 5 [size =\"6269952\"]\n  5 [size=\"106595840\", alpha=\"0.19\", expect_size=\"42638336\"] \n  5 -> 6 [size =\"42638336\"]\n  6 [size=\"57029120\", alpha=\"0.07\", expect_size=\"22811648\"] \n  6 -> 7 [size =\"22811648\"]\n  7 [size=\"87257600\", alpha=\"0.17\", expect_size=\"34903040\"] \n  7 -> 8 [size =\"34903040\"]\n  8 [size=\"34897920\", alpha=\"0.17\", expect_size=\"13959168\"] \n  8 -> 9 [size =\"13959168\"]\n  9 [size=\"73039360\", alpha=\"0.00\", expect_size=\"29215744\"] \n  9 -> 10 [size =\"29215744\"]\n  10 [size=\"78438400\", alpha=\"0.09\", expect_size=\"31375360\"] \n  10 -> 11 [size =\"31375360\"]\n  11 [size=\"24499200\", alpha=\"0.08\", expect_size=\"9799680\"] \n  11 -> 12 [size =\"9799680\"]\n  12 [size=\"79329280\", alpha=\"0.16\", expect_size=\"31731712\"] \n  12 -> 13 [size =\"31731712\"]\n  13 [size=\"80560640\", alpha=\"0.19\", expect_size=\"32224256\"] \n  13 -> 14 [size =\"32224256\"]\n  14 [size=\"102487040\", alpha=\"0.04\", expect_size=\"40994816\"] \n  14 -> 15 [size =\"40994816\"]\n  15 [size=\"61516800\", alpha=\"0.02\", expect_size=\"24606720\"] \n  15 -> 16 [size =\"24606720\"]\n  16 [size=\"57827840\", alpha=\"0.08\", expect_size=\"23131136\"] \n  16 -> 17 [size =\"23131136\"]\n  17 [size=\"101591040\", alpha=\"0.13\", expect_size=\"40636416\"] \n  17 -> 18 [size =\"40636416\"]\n  18 [size=\"82685440\", alpha=\"0.18\", expect_size=\"33074176\"] \n  18 -> 19 [size =\"33074176\"]\n  19 [size=\"64632320\", alpha=\"0.18\", expect_size=\"25852928\"] \n  19 -> 20 [size =\"25852928\"]\n  20 [size=\"66439680\", alpha=\"0.14\", expect_size=\"26575872\"] \n  20 -> 21 [size =\"26575872\"]\n  21 [size=\"121781760\", alpha=\"0.01\", expect_size=\"48712704\"] \n  21 -> 22 [size =\"48712704\"]\n  22 [size=\"48916480\", alpha=\"0.10\", expect_size=\"19566592\"] \n  22 -> 23 [size =\"19566592\"]\n  23 [size=\"27420160\", alpha=\"0.03\", expect_size=\"10968064\"] \n  23 -> 24 [size =\"10968064\"]\n  24 [size=\"21844480\", alpha=\"0.16\", expect_size=\"8737792\"] \n  24 -> 25 [size =\"8737792\"]\n  25 [size=\"45416960\", alpha=\"0.05\", expect_size=\"18166784\"] \n  25 -> 26 [size =\"18166784\"]\n  26 [size=\"54919680\", alpha=\"0.01\", expect_size=\"21967872\"] \n  26 -> 27 [size =\"21967872\"]\n  27 [size=\"101580800\", alpha=\"0.10\", expect_size=\"40632320\"] \n  27 -> 28 [size =\"40632320\"]\n  28 [size=\"58293760\", alpha=\"0.02\", expect_size=\"23317504\"] \n  28 -> 29 [size =\"23317504\"]\n  29 [size=\"46110720\", alpha=\"0.05\", expect_size=\"18444288\"] \n  29 -> 30 [size =\"18444288\"]\n  30 [size=\"33876480\", alpha=\"0.18\", expect_size=\"13550592\"] \n  30 -> 31 [size =\"13550592\"]\n  31 [size=\"117908480\", alpha=\"0.14\", expect_size=\"47163392\"] \n  31 -> 32 [size =\"47163392\"]\n  32 [size=\"124321280\", alpha=\"0.01\", expect_size=\"49728512\"] \n  32 -> 33 [size =\"49728512\"]\n  33 [size=\"67586560\", alpha=\"0.19\", expect_size=\"27034624\"] \n  33 -> 34 [size =\"27034624\"]\n  34 [size=\"84467200\", alpha=\"0.13\", expect_size=\"33786880\"] \n  34 -> 35 [size =\"33786880\"]\n  35 [size=\"59568640\", alpha=\"0.14\", expect_size=\"23827456\"] \n  35 -> 36 [size =\"23827456\"]\n  36 [size=\"86374400\", alpha=\"0.04\", expect_size=\"34549760\"] \n  36 -> 37 [size =\"34549760\"]\n  37 [size=\"90846720\", alpha=\"0.08\", expect_size=\"36338688\"] \n  37 -> 38 [size =\"36338688\"]\n  38 [size=\"29173760\", alpha=\"0.04\", expect_size=\"11669504\"] \n  38 -> 39 [size =\"11669504\"]\n  39 [size=\"41108480\", alpha=\"0.09\", expect_size=\"16443392\"] \n  39 -> 40 [size =\"16443392\"]\n  40 [size=\"68623360\", alpha=\"0.03\", expect_size=\"27449344\"] \n  40 -> 41 [size =\"27449344\"]\n  41 [size=\"59084800\", alpha=\"0.15\", expect_size=\"23633920\"] \n  41 -> 42 [size =\"23633920\"]\n  42 [size=\"23887360\", alpha=\"0.13\", expect_size=\"9554944\"] \n  42 -> 43 [size =\"9554944\"]\n  43 [size=\"29255680\", alpha=\"0.14\", expect_size=\"11702272\"] \n  43 -> 44 [size =\"11702272\"]\n  44 [size=\"24678400\", alpha=\"0.16\", expect_size=\"9871360\"] \n  44 -> 45 [size =\"9871360\"]\n  45 [size=\"99535360\", alpha=\"0.04\", expect_size=\"39814144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44881920\", alpha=\"0.16\", expect_size=\"22440960\"] \n  1 -> 3 [size =\"22440960\"]\n  1 -> 4 [size =\"22440960\"]\n  2 [size=\"64780288\", alpha=\"0.01\", expect_size=\"32390144\"] \n  3 [size=\"49979392\", alpha=\"0.10\", expect_size=\"24989696\"] \n  3 -> 5 [size =\"24989696\"]\n  3 -> 7 [size =\"24989696\"]\n  4 [size=\"104171520\", alpha=\"0.03\", expect_size=\"52085760\"] \n  4 -> 6 [size =\"52085760\"]\n  5 [size=\"38219776\", alpha=\"0.15\", expect_size=\"19109888\"] \n  6 [size=\"57513984\", alpha=\"0.16\", expect_size=\"28756992\"] \n  6 -> 8 [size =\"28756992\"]\n  6 -> 9 [size =\"28756992\"]\n  7 [size=\"34656256\", alpha=\"0.12\", expect_size=\"17328128\"] \n  7 -> 8 [size =\"17328128\"]\n  7 -> 9 [size =\"17328128\"]\n  8 [size=\"18339840\", alpha=\"0.00\", expect_size=\"9169920\"] \n  8 -> 10 [size =\"9169920\"]\n  8 -> 11 [size =\"9169920\"]\n  9 [size=\"26261504\", alpha=\"0.14\", expect_size=\"13130752\"] \n  10 [size=\"14342144\", alpha=\"0.16\", expect_size=\"7171072\"] \n  10 -> 12 [size =\"7171072\"]\n  10 -> 13 [size =\"7171072\"]\n  11 [size=\"99534848\", alpha=\"0.10\", expect_size=\"49767424\"] \n  12 [size=\"80736256\", alpha=\"0.12\", expect_size=\"40368128\"] \n  12 -> 16 [size =\"40368128\"]\n  13 [size=\"86654976\", alpha=\"0.15\", expect_size=\"43327488\"] \n  13 -> 14 [size =\"43327488\"]\n  13 -> 15 [size =\"43327488\"]\n  14 [size=\"40816640\", alpha=\"0.19\", expect_size=\"20408320\"] \n  15 [size=\"55332864\", alpha=\"0.03\", expect_size=\"27666432\"] \n  15 -> 17 [size =\"27666432\"]\n  16 [size=\"31250432\", alpha=\"0.10\", expect_size=\"15625216\"] \n  16 -> 18 [size =\"15625216\"]\n  17 [size=\"11153408\", alpha=\"0.05\", expect_size=\"5576704\"] \n  17 -> 19 [size =\"5576704\"]\n  18 [size=\"68173824\", alpha=\"0.04\", expect_size=\"34086912\"] \n  18 -> 20 [size =\"34086912\"]\n  18 -> 21 [size =\"34086912\"]\n  19 [size=\"68595712\", alpha=\"0.15\", expect_size=\"34297856\"] \n  19 -> 22 [size =\"34297856\"]\n  20 [size=\"39550976\", alpha=\"0.02\", expect_size=\"19775488\"] \n  21 [size=\"21788672\", alpha=\"0.16\", expect_size=\"10894336\"] \n  21 -> 23 [size =\"10894336\"]\n  21 -> 24 [size =\"10894336\"]\n  22 [size=\"67702784\", alpha=\"0.01\", expect_size=\"33851392\"] \n  22 -> 25 [size =\"33851392\"]\n  23 [size=\"28391424\", alpha=\"0.15\", expect_size=\"14195712\"] \n  23 -> 26 [size =\"14195712\"]\n  24 [size=\"100550656\", alpha=\"0.09\", expect_size=\"50275328\"] \n  24 -> 25 [size =\"50275328\"]\n  25 [size=\"96925696\", alpha=\"0.08\", expect_size=\"48462848\"] \n  26 [size=\"17586176\", alpha=\"0.18\", expect_size=\"8793088\"] \n  26 -> 27 [size =\"8793088\"]\n  26 -> 28 [size =\"8793088\"]\n  27 [size=\"66934784\", alpha=\"0.13\", expect_size=\"33467392\"] \n  27 -> 29 [size =\"33467392\"]\n  27 -> 30 [size =\"33467392\"]\n  28 [size=\"89706496\", alpha=\"0.09\", expect_size=\"44853248\"] \n  29 [size=\"14034944\", alpha=\"0.09\", expect_size=\"7017472\"] \n  29 -> 32 [size =\"7017472\"]\n  30 [size=\"85016576\", alpha=\"0.09\", expect_size=\"42508288\"] \n  30 -> 31 [size =\"42508288\"]\n  30 -> 33 [size =\"42508288\"]\n  31 [size=\"93261824\", alpha=\"0.09\", expect_size=\"46630912\"] \n  31 -> 35 [size =\"46630912\"]\n  31 -> 36 [size =\"46630912\"]\n  32 [size=\"73164800\", alpha=\"0.03\", expect_size=\"36582400\"] \n  32 -> 34 [size =\"36582400\"]\n  32 -> 35 [size =\"36582400\"]\n  33 [size=\"79026176\", alpha=\"0.13\", expect_size=\"39513088\"] \n  34 [size=\"55967744\", alpha=\"0.10\", expect_size=\"27983872\"] \n  34 -> 38 [size =\"27983872\"]\n  35 [size=\"97677312\", alpha=\"0.17\", expect_size=\"48838656\"] \n  35 -> 39 [size =\"48838656\"]\n  36 [size=\"43143168\", alpha=\"0.07\", expect_size=\"21571584\"] \n  36 -> 37 [size =\"21571584\"]\n  36 -> 38 [size =\"21571584\"]\n  37 [size=\"33771520\", alpha=\"0.18\", expect_size=\"16885760\"] \n  37 -> 40 [size =\"16885760\"]\n  37 -> 41 [size =\"16885760\"]\n  37 -> 42 [size =\"16885760\"]\n  38 [size=\"93730816\", alpha=\"0.01\", expect_size=\"46865408\"] \n  38 -> 42 [size =\"46865408\"]\n  39 [size=\"42133504\", alpha=\"0.17\", expect_size=\"21066752\"] \n  40 [size=\"83499008\", alpha=\"0.18\", expect_size=\"41749504\"] \n  40 -> 44 [size =\"41749504\"]\n  41 [size=\"32942080\", alpha=\"0.02\", expect_size=\"16471040\"] \n  41 -> 43 [size =\"16471040\"]\n  42 [size=\"73885696\", alpha=\"0.19\", expect_size=\"36942848\"] \n  42 -> 43 [size =\"36942848\"]\n  42 -> 44 [size =\"36942848\"]\n  43 [size=\"87834624\", alpha=\"0.18\", expect_size=\"43917312\"] \n  43 -> 45 [size =\"43917312\"]\n  44 [size=\"56588288\", alpha=\"0.17\", expect_size=\"28294144\"] \n  45 [size=\"104849408\", alpha=\"0.15\", expect_size=\"52424704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17305600\", alpha=\"0.10\", expect_size=\"6922240\"] \n  1 -> 15 [size =\"6922240\"]\n  1 -> 17 [size =\"6922240\"]\n  1 -> 18 [size =\"6922240\"]\n  1 -> 20 [size =\"6922240\"]\n  1 -> 24 [size =\"6922240\"]\n  2 [size=\"124797440\", alpha=\"0.20\", expect_size=\"49918976\"] \n  2 -> 16 [size =\"49918976\"]\n  2 -> 24 [size =\"49918976\"]\n  2 -> 25 [size =\"49918976\"]\n  3 [size=\"102745600\", alpha=\"0.18\", expect_size=\"41098240\"] \n  3 -> 16 [size =\"41098240\"]\n  3 -> 17 [size =\"41098240\"]\n  3 -> 19 [size =\"41098240\"]\n  3 -> 24 [size =\"41098240\"]\n  4 [size=\"96112640\", alpha=\"0.06\", expect_size=\"38445056\"] \n  4 -> 17 [size =\"38445056\"]\n  4 -> 17 [size =\"38445056\"]\n  4 -> 20 [size =\"38445056\"]\n  4 -> 21 [size =\"38445056\"]\n  4 -> 22 [size =\"38445056\"]\n  4 -> 26 [size =\"38445056\"]\n  5 [size=\"30584320\", alpha=\"0.16\", expect_size=\"12233728\"] \n  5 -> 27 [size =\"12233728\"]\n  6 [size=\"94824960\", alpha=\"0.18\", expect_size=\"37929984\"] \n  6 -> 18 [size =\"37929984\"]\n  6 -> 24 [size =\"37929984\"]\n  6 -> 25 [size =\"37929984\"]\n  6 -> 26 [size =\"37929984\"]\n  7 [size=\"129489920\", alpha=\"0.01\", expect_size=\"51795968\"] \n  7 -> 15 [size =\"51795968\"]\n  7 -> 18 [size =\"51795968\"]\n  7 -> 21 [size =\"51795968\"]\n  7 -> 26 [size =\"51795968\"]\n  7 -> 27 [size =\"51795968\"]\n  8 [size=\"117391360\", alpha=\"0.18\", expect_size=\"46956544\"] \n  8 -> 16 [size =\"46956544\"]\n  8 -> 18 [size =\"46956544\"]\n  8 -> 25 [size =\"46956544\"]\n  9 [size=\"94059520\", alpha=\"0.08\", expect_size=\"37623808\"] \n  9 -> 17 [size =\"37623808\"]\n  9 -> 18 [size =\"37623808\"]\n  9 -> 19 [size =\"37623808\"]\n  9 -> 20 [size =\"37623808\"]\n  9 -> 24 [size =\"37623808\"]\n  9 -> 26 [size =\"37623808\"]\n  10 [size=\"37401600\", alpha=\"0.12\", expect_size=\"14960640\"] \n  10 -> 18 [size =\"14960640\"]\n  10 -> 20 [size =\"14960640\"]\n  10 -> 26 [size =\"14960640\"]\n  10 -> 27 [size =\"14960640\"]\n  11 [size=\"19333120\", alpha=\"0.12\", expect_size=\"7733248\"] \n  11 -> 16 [size =\"7733248\"]\n  11 -> 19 [size =\"7733248\"]\n  11 -> 20 [size =\"7733248\"]\n  11 -> 23 [size =\"7733248\"]\n  12 [size=\"76241920\", alpha=\"0.00\", expect_size=\"30496768\"] \n  12 -> 16 [size =\"30496768\"]\n  12 -> 19 [size =\"30496768\"]\n  12 -> 20 [size =\"30496768\"]\n  12 -> 25 [size =\"30496768\"]\n  13 [size=\"76193280\", alpha=\"0.15\", expect_size=\"30477312\"] \n  13 -> 16 [size =\"30477312\"]\n  13 -> 17 [size =\"30477312\"]\n  13 -> 19 [size =\"30477312\"]\n  13 -> 20 [size =\"30477312\"]\n  13 -> 25 [size =\"30477312\"]\n  14 [size=\"63249920\", alpha=\"0.18\", expect_size=\"25299968\"] \n  14 -> 16 [size =\"25299968\"]\n  14 -> 20 [size =\"25299968\"]\n  14 -> 24 [size =\"25299968\"]\n  14 -> 25 [size =\"25299968\"]\n  15 [size=\"98334720\", alpha=\"0.01\", expect_size=\"39333888\"] \n  15 -> 28 [size =\"39333888\"]\n  15 -> 33 [size =\"39333888\"]\n  15 -> 34 [size =\"39333888\"]\n  15 -> 36 [size =\"39333888\"]\n  15 -> 37 [size =\"39333888\"]\n  15 -> 38 [size =\"39333888\"]\n  16 [size=\"74096640\", alpha=\"0.18\", expect_size=\"29638656\"] \n  16 -> 28 [size =\"29638656\"]\n  16 -> 30 [size =\"29638656\"]\n  16 -> 31 [size =\"29638656\"]\n  16 -> 33 [size =\"29638656\"]\n  16 -> 34 [size =\"29638656\"]\n  16 -> 36 [size =\"29638656\"]\n  16 -> 40 [size =\"29638656\"]\n  17 [size=\"64145920\", alpha=\"0.15\", expect_size=\"25658368\"] \n  17 -> 28 [size =\"25658368\"]\n  17 -> 31 [size =\"25658368\"]\n  17 -> 33 [size =\"25658368\"]\n  17 -> 34 [size =\"25658368\"]\n  17 -> 36 [size =\"25658368\"]\n  17 -> 36 [size =\"25658368\"]\n  17 -> 38 [size =\"25658368\"]\n  17 -> 39 [size =\"25658368\"]\n  17 -> 40 [size =\"25658368\"]\n  18 [size=\"67627520\", alpha=\"0.17\", expect_size=\"27051008\"] \n  18 -> 28 [size =\"27051008\"]\n  18 -> 33 [size =\"27051008\"]\n  18 -> 33 [size =\"27051008\"]\n  18 -> 34 [size =\"27051008\"]\n  18 -> 35 [size =\"27051008\"]\n  18 -> 37 [size =\"27051008\"]\n  18 -> 39 [size =\"27051008\"]\n  18 -> 40 [size =\"27051008\"]\n  19 [size=\"57510400\", alpha=\"0.03\", expect_size=\"23004160\"] \n  19 -> 30 [size =\"23004160\"]\n  19 -> 31 [size =\"23004160\"]\n  19 -> 33 [size =\"23004160\"]\n  19 -> 35 [size =\"23004160\"]\n  19 -> 37 [size =\"23004160\"]\n  19 -> 39 [size =\"23004160\"]\n  20 [size=\"104268800\", alpha=\"0.17\", expect_size=\"41707520\"] \n  20 -> 29 [size =\"41707520\"]\n  20 -> 30 [size =\"41707520\"]\n  20 -> 31 [size =\"41707520\"]\n  20 -> 38 [size =\"41707520\"]\n  20 -> 40 [size =\"41707520\"]\n  21 [size=\"56424960\", alpha=\"0.11\", expect_size=\"22569984\"] \n  21 -> 29 [size =\"22569984\"]\n  21 -> 31 [size =\"22569984\"]\n  21 -> 36 [size =\"22569984\"]\n  22 [size=\"124879360\", alpha=\"0.03\", expect_size=\"49951744\"] \n  22 -> 28 [size =\"49951744\"]\n  22 -> 36 [size =\"49951744\"]\n  22 -> 38 [size =\"49951744\"]\n  23 [size=\"126154240\", alpha=\"0.11\", expect_size=\"50461696\"] \n  23 -> 28 [size =\"50461696\"]\n  23 -> 30 [size =\"50461696\"]\n  23 -> 35 [size =\"50461696\"]\n  23 -> 39 [size =\"50461696\"]\n  24 [size=\"95201280\", alpha=\"0.14\", expect_size=\"38080512\"] \n  24 -> 32 [size =\"38080512\"]\n  24 -> 34 [size =\"38080512\"]\n  24 -> 35 [size =\"38080512\"]\n  24 -> 37 [size =\"38080512\"]\n  24 -> 39 [size =\"38080512\"]\n  24 -> 40 [size =\"38080512\"]\n  25 [size=\"84797440\", alpha=\"0.19\", expect_size=\"33918976\"] \n  25 -> 33 [size =\"33918976\"]\n  25 -> 34 [size =\"33918976\"]\n  25 -> 37 [size =\"33918976\"]\n  25 -> 39 [size =\"33918976\"]\n  25 -> 39 [size =\"33918976\"]\n  26 [size=\"92308480\", alpha=\"0.18\", expect_size=\"36923392\"] \n  26 -> 28 [size =\"36923392\"]\n  26 -> 31 [size =\"36923392\"]\n  26 -> 34 [size =\"36923392\"]\n  26 -> 37 [size =\"36923392\"]\n  26 -> 40 [size =\"36923392\"]\n  27 [size=\"79045120\", alpha=\"0.16\", expect_size=\"31618048\"] \n  27 -> 33 [size =\"31618048\"]\n  27 -> 36 [size =\"31618048\"]\n  27 -> 37 [size =\"31618048\"]\n  28 [size=\"47424000\", alpha=\"0.13\", expect_size=\"18969600\"] \n  28 -> 44 [size =\"18969600\"]\n  29 [size=\"28410880\", alpha=\"0.03\", expect_size=\"11364352\"] \n  29 -> 41 [size =\"11364352\"]\n  29 -> 42 [size =\"11364352\"]\n  29 -> 43 [size =\"11364352\"]\n  29 -> 44 [size =\"11364352\"]\n  29 -> 45 [size =\"11364352\"]\n  30 [size=\"48550400\", alpha=\"0.17\", expect_size=\"19420160\"] \n  30 -> 41 [size =\"19420160\"]\n  30 -> 43 [size =\"19420160\"]\n  30 -> 44 [size =\"19420160\"]\n  30 -> 44 [size =\"19420160\"]\n  30 -> 45 [size =\"19420160\"]\n  31 [size=\"28602880\", alpha=\"0.12\", expect_size=\"11441152\"] \n  32 [size=\"90731520\", alpha=\"0.18\", expect_size=\"36292608\"] \n  33 [size=\"110699520\", alpha=\"0.15\", expect_size=\"44279808\"] \n  33 -> 43 [size =\"44279808\"]\n  33 -> 44 [size =\"44279808\"]\n  34 [size=\"60180480\", alpha=\"0.20\", expect_size=\"24072192\"] \n  34 -> 45 [size =\"24072192\"]\n  35 [size=\"22182400\", alpha=\"0.20\", expect_size=\"8872960\"] \n  35 -> 43 [size =\"8872960\"]\n  35 -> 44 [size =\"8872960\"]\n  36 [size=\"14182400\", alpha=\"0.09\", expect_size=\"5672960\"] \n  36 -> 41 [size =\"5672960\"]\n  36 -> 42 [size =\"5672960\"]\n  37 [size=\"117898240\", alpha=\"0.08\", expect_size=\"47159296\"] \n  38 [size=\"95823360\", alpha=\"0.16\", expect_size=\"38329344\"] \n  38 -> 41 [size =\"38329344\"]\n  38 -> 44 [size =\"38329344\"]\n  39 [size=\"52239360\", alpha=\"0.11\", expect_size=\"20895744\"] \n  39 -> 43 [size =\"20895744\"]\n  40 [size=\"68103680\", alpha=\"0.02\", expect_size=\"27241472\"] \n  40 -> 43 [size =\"27241472\"]\n  40 -> 44 [size =\"27241472\"]\n  40 -> 45 [size =\"27241472\"]\n  41 [size=\"49743360\", alpha=\"0.00\", expect_size=\"19897344\"] \n  42 [size=\"121351680\", alpha=\"0.17\", expect_size=\"48540672\"] \n  43 [size=\"110138880\", alpha=\"0.14\", expect_size=\"44055552\"] \n  44 [size=\"79188480\", alpha=\"0.04\", expect_size=\"31675392\"] \n  45 [size=\"78643200\", alpha=\"0.06\", expect_size=\"31457280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20094976\", alpha=\"0.03\", expect_size=\"10047488\"] \n  1 -> 2 [size =\"10047488\"]\n  2 [size=\"37085184\", alpha=\"0.03\", expect_size=\"18542592\"] \n  2 -> 3 [size =\"18542592\"]\n  3 [size=\"81291264\", alpha=\"0.01\", expect_size=\"40645632\"] \n  3 -> 4 [size =\"40645632\"]\n  4 [size=\"89460736\", alpha=\"0.08\", expect_size=\"44730368\"] \n  4 -> 5 [size =\"44730368\"]\n  5 [size=\"44781568\", alpha=\"0.15\", expect_size=\"22390784\"] \n  5 -> 6 [size =\"22390784\"]\n  6 [size=\"40996864\", alpha=\"0.18\", expect_size=\"20498432\"] \n  6 -> 7 [size =\"20498432\"]\n  7 [size=\"51804160\", alpha=\"0.09\", expect_size=\"25902080\"] \n  7 -> 8 [size =\"25902080\"]\n  8 [size=\"53536768\", alpha=\"0.15\", expect_size=\"26768384\"] \n  8 -> 9 [size =\"26768384\"]\n  9 [size=\"58761216\", alpha=\"0.14\", expect_size=\"29380608\"] \n  9 -> 10 [size =\"29380608\"]\n  10 [size=\"90306560\", alpha=\"0.18\", expect_size=\"45153280\"] \n  10 -> 11 [size =\"45153280\"]\n  11 [size=\"56469504\", alpha=\"0.15\", expect_size=\"28234752\"] \n  11 -> 12 [size =\"28234752\"]\n  12 [size=\"70875136\", alpha=\"0.16\", expect_size=\"35437568\"] \n  12 -> 13 [size =\"35437568\"]\n  13 [size=\"86796288\", alpha=\"0.07\", expect_size=\"43398144\"] \n  13 -> 14 [size =\"43398144\"]\n  14 [size=\"92481536\", alpha=\"0.18\", expect_size=\"46240768\"] \n  14 -> 15 [size =\"46240768\"]\n  15 [size=\"36028416\", alpha=\"0.15\", expect_size=\"18014208\"] \n  15 -> 16 [size =\"18014208\"]\n  16 [size=\"14456832\", alpha=\"0.15\", expect_size=\"7228416\"] \n  16 -> 17 [size =\"7228416\"]\n  17 [size=\"97193984\", alpha=\"0.03\", expect_size=\"48596992\"] \n  17 -> 18 [size =\"48596992\"]\n  18 [size=\"46993408\", alpha=\"0.18\", expect_size=\"23496704\"] \n  18 -> 19 [size =\"23496704\"]\n  19 [size=\"24588288\", alpha=\"0.11\", expect_size=\"12294144\"] \n  19 -> 20 [size =\"12294144\"]\n  20 [size=\"92958720\", alpha=\"0.03\", expect_size=\"46479360\"] \n  20 -> 21 [size =\"46479360\"]\n  21 [size=\"81387520\", alpha=\"0.17\", expect_size=\"40693760\"] \n  21 -> 22 [size =\"40693760\"]\n  22 [size=\"57300992\", alpha=\"0.17\", expect_size=\"28650496\"] \n  22 -> 23 [size =\"28650496\"]\n  23 [size=\"37535744\", alpha=\"0.11\", expect_size=\"18767872\"] \n  23 -> 24 [size =\"18767872\"]\n  24 [size=\"71276544\", alpha=\"0.03\", expect_size=\"35638272\"] \n  24 -> 25 [size =\"35638272\"]\n  25 [size=\"62769152\", alpha=\"0.01\", expect_size=\"31384576\"] \n  25 -> 26 [size =\"31384576\"]\n  26 [size=\"40460288\", alpha=\"0.07\", expect_size=\"20230144\"] \n  26 -> 27 [size =\"20230144\"]\n  27 [size=\"16060416\", alpha=\"0.00\", expect_size=\"8030208\"] \n  27 -> 28 [size =\"8030208\"]\n  28 [size=\"29853696\", alpha=\"0.03\", expect_size=\"14926848\"] \n  28 -> 29 [size =\"14926848\"]\n  29 [size=\"20860928\", alpha=\"0.17\", expect_size=\"10430464\"] \n  29 -> 30 [size =\"10430464\"]\n  30 [size=\"73517056\", alpha=\"0.07\", expect_size=\"36758528\"] \n  30 -> 31 [size =\"36758528\"]\n  31 [size=\"88246272\", alpha=\"0.07\", expect_size=\"44123136\"] \n  31 -> 32 [size =\"44123136\"]\n  32 [size=\"74657792\", alpha=\"0.19\", expect_size=\"37328896\"] \n  32 -> 33 [size =\"37328896\"]\n  33 [size=\"59351040\", alpha=\"0.08\", expect_size=\"29675520\"] \n  33 -> 34 [size =\"29675520\"]\n  34 [size=\"18763776\", alpha=\"0.14\", expect_size=\"9381888\"] \n  34 -> 35 [size =\"9381888\"]\n  35 [size=\"31870976\", alpha=\"0.06\", expect_size=\"15935488\"] \n  35 -> 36 [size =\"15935488\"]\n  36 [size=\"38594560\", alpha=\"0.19\", expect_size=\"19297280\"] \n  36 -> 37 [size =\"19297280\"]\n  37 [size=\"69451776\", alpha=\"0.09\", expect_size=\"34725888\"] \n  37 -> 38 [size =\"34725888\"]\n  38 [size=\"71385088\", alpha=\"0.08\", expect_size=\"35692544\"] \n  38 -> 39 [size =\"35692544\"]\n  39 [size=\"87447552\", alpha=\"0.10\", expect_size=\"43723776\"] \n  39 -> 40 [size =\"43723776\"]\n  40 [size=\"71544832\", alpha=\"0.09\", expect_size=\"35772416\"] \n  40 -> 41 [size =\"35772416\"]\n  41 [size=\"103497728\", alpha=\"0.03\", expect_size=\"51748864\"] \n  41 -> 42 [size =\"51748864\"]\n  42 [size=\"40550400\", alpha=\"0.07\", expect_size=\"20275200\"] \n  42 -> 43 [size =\"20275200\"]\n  43 [size=\"37466112\", alpha=\"0.17\", expect_size=\"18733056\"] \n  43 -> 44 [size =\"18733056\"]\n  44 [size=\"76181504\", alpha=\"0.19\", expect_size=\"38090752\"] \n  44 -> 45 [size =\"38090752\"]\n  45 [size=\"49950720\", alpha=\"0.13\", expect_size=\"24975360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25340587\", alpha=\"0.02\", expect_size=\"7602176\"] \n  1 -> 2 [size =\"7602176\"]\n  2 [size=\"24541867\", alpha=\"0.08\", expect_size=\"7362560\"] \n  2 -> 3 [size =\"7362560\"]\n  3 [size=\"75284480\", alpha=\"0.06\", expect_size=\"22585344\"] \n  3 -> 4 [size =\"22585344\"]\n  4 [size=\"143404373\", alpha=\"0.00\", expect_size=\"43021312\"] \n  4 -> 5 [size =\"43021312\"]\n  5 [size=\"153538560\", alpha=\"0.07\", expect_size=\"46061568\"] \n  5 -> 6 [size =\"46061568\"]\n  6 [size=\"77366613\", alpha=\"0.03\", expect_size=\"23209984\"] \n  6 -> 7 [size =\"23209984\"]\n  7 [size=\"113950720\", alpha=\"0.11\", expect_size=\"34185216\"] \n  7 -> 8 [size =\"34185216\"]\n  8 [size=\"82906453\", alpha=\"0.10\", expect_size=\"24871936\"] \n  8 -> 9 [size =\"24871936\"]\n  9 [size=\"52974933\", alpha=\"0.20\", expect_size=\"15892480\"] \n  9 -> 10 [size =\"15892480\"]\n  10 [size=\"151995733\", alpha=\"0.13\", expect_size=\"45598720\"] \n  10 -> 11 [size =\"45598720\"]\n  11 [size=\"102857387\", alpha=\"0.17\", expect_size=\"30857216\"] \n  11 -> 12 [size =\"30857216\"]\n  12 [size=\"118077440\", alpha=\"0.03\", expect_size=\"35423232\"] \n  12 -> 13 [size =\"35423232\"]\n  13 [size=\"25210880\", alpha=\"0.20\", expect_size=\"7563264\"] \n  13 -> 14 [size =\"7563264\"]\n  14 [size=\"72366080\", alpha=\"0.19\", expect_size=\"21709824\"] \n  14 -> 15 [size =\"21709824\"]\n  15 [size=\"75332267\", alpha=\"0.03\", expect_size=\"22599680\"] \n  15 -> 16 [size =\"22599680\"]\n  16 [size=\"126890667\", alpha=\"0.11\", expect_size=\"38067200\"] \n  16 -> 17 [size =\"38067200\"]\n  17 [size=\"151896747\", alpha=\"0.19\", expect_size=\"45569024\"] \n  17 -> 18 [size =\"45569024\"]\n  18 [size=\"84322987\", alpha=\"0.17\", expect_size=\"25296896\"] \n  18 -> 19 [size =\"25296896\"]\n  19 [size=\"160238933\", alpha=\"0.07\", expect_size=\"48071680\"] \n  19 -> 20 [size =\"48071680\"]\n  20 [size=\"156607147\", alpha=\"0.06\", expect_size=\"46982144\"] \n  20 -> 21 [size =\"46982144\"]\n  21 [size=\"102898347\", alpha=\"0.06\", expect_size=\"30869504\"] \n  21 -> 22 [size =\"30869504\"]\n  22 [size=\"77895680\", alpha=\"0.07\", expect_size=\"23368704\"] \n  22 -> 23 [size =\"23368704\"]\n  23 [size=\"102215680\", alpha=\"0.15\", expect_size=\"30664704\"] \n  23 -> 24 [size =\"30664704\"]\n  24 [size=\"101474987\", alpha=\"0.19\", expect_size=\"30442496\"] \n  24 -> 25 [size =\"30442496\"]\n  25 [size=\"93914453\", alpha=\"0.00\", expect_size=\"28174336\"] \n  25 -> 26 [size =\"28174336\"]\n  26 [size=\"120292693\", alpha=\"0.09\", expect_size=\"36087808\"] \n  26 -> 27 [size =\"36087808\"]\n  27 [size=\"51882667\", alpha=\"0.10\", expect_size=\"15564800\"] \n  27 -> 28 [size =\"15564800\"]\n  28 [size=\"45076480\", alpha=\"0.20\", expect_size=\"13522944\"] \n  28 -> 29 [size =\"13522944\"]\n  29 [size=\"24637440\", alpha=\"0.14\", expect_size=\"7391232\"] \n  29 -> 30 [size =\"7391232\"]\n  30 [size=\"82694827\", alpha=\"0.05\", expect_size=\"24808448\"] \n  30 -> 31 [size =\"24808448\"]\n  31 [size=\"131259733\", alpha=\"0.07\", expect_size=\"39377920\"] \n  31 -> 32 [size =\"39377920\"]\n  32 [size=\"20903253\", alpha=\"0.02\", expect_size=\"6270976\"] \n  32 -> 33 [size =\"6270976\"]\n  33 [size=\"73267200\", alpha=\"0.18\", expect_size=\"21980160\"] \n  33 -> 34 [size =\"21980160\"]\n  34 [size=\"31593813\", alpha=\"0.01\", expect_size=\"9478144\"] \n  34 -> 35 [size =\"9478144\"]\n  35 [size=\"21807787\", alpha=\"0.11\", expect_size=\"6542336\"] \n  35 -> 36 [size =\"6542336\"]\n  36 [size=\"22685013\", alpha=\"0.15\", expect_size=\"6805504\"] \n  36 -> 37 [size =\"6805504\"]\n  37 [size=\"94122667\", alpha=\"0.16\", expect_size=\"28236800\"] \n  37 -> 38 [size =\"28236800\"]\n  38 [size=\"18018987\", alpha=\"0.06\", expect_size=\"5405696\"] \n  38 -> 39 [size =\"5405696\"]\n  39 [size=\"174380373\", alpha=\"0.13\", expect_size=\"52314112\"] \n  39 -> 40 [size =\"52314112\"]\n  40 [size=\"126846293\", alpha=\"0.19\", expect_size=\"38053888\"] \n  40 -> 41 [size =\"38053888\"]\n  41 [size=\"167226027\", alpha=\"0.15\", expect_size=\"50167808\"] \n  41 -> 42 [size =\"50167808\"]\n  42 [size=\"66324480\", alpha=\"0.19\", expect_size=\"19897344\"] \n  42 -> 43 [size =\"19897344\"]\n  43 [size=\"82036053\", alpha=\"0.14\", expect_size=\"24610816\"] \n  43 -> 44 [size =\"24610816\"]\n  44 [size=\"64808960\", alpha=\"0.20\", expect_size=\"19442688\"] \n  44 -> 45 [size =\"19442688\"]\n  45 [size=\"69536427\", alpha=\"0.15\", expect_size=\"20860928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17126400\", alpha=\"0.03\", expect_size=\"6850560\"] \n  1 -> 4 [size =\"6850560\"]\n  2 [size=\"128675840\", alpha=\"0.06\", expect_size=\"51470336\"] \n  2 -> 5 [size =\"51470336\"]\n  2 -> 6 [size =\"51470336\"]\n  3 [size=\"94471680\", alpha=\"0.14\", expect_size=\"37788672\"] \n  3 -> 4 [size =\"37788672\"]\n  3 -> 5 [size =\"37788672\"]\n  3 -> 6 [size =\"37788672\"]\n  4 [size=\"72192000\", alpha=\"0.10\", expect_size=\"28876800\"] \n  4 -> 7 [size =\"28876800\"]\n  4 -> 9 [size =\"28876800\"]\n  5 [size=\"91358720\", alpha=\"0.05\", expect_size=\"36543488\"] \n  5 -> 7 [size =\"36543488\"]\n  5 -> 9 [size =\"36543488\"]\n  6 [size=\"37893120\", alpha=\"0.10\", expect_size=\"15157248\"] \n  6 -> 7 [size =\"15157248\"]\n  6 -> 8 [size =\"15157248\"]\n  6 -> 9 [size =\"15157248\"]\n  6 -> 10 [size =\"15157248\"]\n  7 [size=\"31124480\", alpha=\"0.14\", expect_size=\"12449792\"] \n  7 -> 11 [size =\"12449792\"]\n  8 [size=\"43248640\", alpha=\"0.10\", expect_size=\"17299456\"] \n  8 -> 11 [size =\"17299456\"]\n  9 [size=\"84037120\", alpha=\"0.10\", expect_size=\"33614848\"] \n  9 -> 11 [size =\"33614848\"]\n  10 [size=\"45132800\", alpha=\"0.08\", expect_size=\"18053120\"] \n  10 -> 11 [size =\"18053120\"]\n  10 -> 12 [size =\"18053120\"]\n  11 [size=\"78535680\", alpha=\"0.09\", expect_size=\"31414272\"] \n  11 -> 13 [size =\"31414272\"]\n  11 -> 14 [size =\"31414272\"]\n  11 -> 15 [size =\"31414272\"]\n  11 -> 16 [size =\"31414272\"]\n  12 [size=\"96204800\", alpha=\"0.02\", expect_size=\"38481920\"] \n  12 -> 13 [size =\"38481920\"]\n  12 -> 14 [size =\"38481920\"]\n  12 -> 15 [size =\"38481920\"]\n  13 [size=\"15083520\", alpha=\"0.04\", expect_size=\"6033408\"] \n  13 -> 17 [size =\"6033408\"]\n  13 -> 18 [size =\"6033408\"]\n  13 -> 19 [size =\"6033408\"]\n  13 -> 20 [size =\"6033408\"]\n  14 [size=\"97428480\", alpha=\"0.18\", expect_size=\"38971392\"] \n  14 -> 17 [size =\"38971392\"]\n  14 -> 18 [size =\"38971392\"]\n  14 -> 19 [size =\"38971392\"]\n  14 -> 20 [size =\"38971392\"]\n  15 [size=\"40693760\", alpha=\"0.17\", expect_size=\"16277504\"] \n  15 -> 17 [size =\"16277504\"]\n  15 -> 19 [size =\"16277504\"]\n  15 -> 20 [size =\"16277504\"]\n  16 [size=\"71800320\", alpha=\"0.14\", expect_size=\"28720128\"] \n  16 -> 17 [size =\"28720128\"]\n  16 -> 18 [size =\"28720128\"]\n  16 -> 19 [size =\"28720128\"]\n  16 -> 20 [size =\"28720128\"]\n  17 [size=\"129720320\", alpha=\"0.11\", expect_size=\"51888128\"] \n  17 -> 21 [size =\"51888128\"]\n  17 -> 22 [size =\"51888128\"]\n  18 [size=\"96934400\", alpha=\"0.01\", expect_size=\"38773760\"] \n  18 -> 21 [size =\"38773760\"]\n  18 -> 22 [size =\"38773760\"]\n  19 [size=\"35973120\", alpha=\"0.16\", expect_size=\"14389248\"] \n  20 [size=\"93186560\", alpha=\"0.02\", expect_size=\"37274624\"] \n  20 -> 21 [size =\"37274624\"]\n  20 -> 22 [size =\"37274624\"]\n  21 [size=\"24655360\", alpha=\"0.09\", expect_size=\"9862144\"] \n  21 -> 23 [size =\"9862144\"]\n  22 [size=\"78120960\", alpha=\"0.15\", expect_size=\"31248384\"] \n  22 -> 23 [size =\"31248384\"]\n  23 [size=\"90913280\", alpha=\"0.16\", expect_size=\"36365312\"] \n  23 -> 24 [size =\"36365312\"]\n  23 -> 25 [size =\"36365312\"]\n  23 -> 26 [size =\"36365312\"]\n  24 [size=\"115307520\", alpha=\"0.06\", expect_size=\"46123008\"] \n  24 -> 28 [size =\"46123008\"]\n  24 -> 29 [size =\"46123008\"]\n  25 [size=\"101634560\", alpha=\"0.10\", expect_size=\"40653824\"] \n  25 -> 27 [size =\"40653824\"]\n  25 -> 29 [size =\"40653824\"]\n  26 [size=\"81525760\", alpha=\"0.18\", expect_size=\"32610304\"] \n  26 -> 27 [size =\"32610304\"]\n  26 -> 28 [size =\"32610304\"]\n  26 -> 29 [size =\"32610304\"]\n  27 [size=\"45918720\", alpha=\"0.08\", expect_size=\"18367488\"] \n  27 -> 30 [size =\"18367488\"]\n  27 -> 31 [size =\"18367488\"]\n  28 [size=\"109824000\", alpha=\"0.04\", expect_size=\"43929600\"] \n  28 -> 30 [size =\"43929600\"]\n  28 -> 31 [size =\"43929600\"]\n  29 [size=\"117767680\", alpha=\"0.12\", expect_size=\"47107072\"] \n  29 -> 30 [size =\"47107072\"]\n  29 -> 31 [size =\"47107072\"]\n  30 [size=\"91747840\", alpha=\"0.06\", expect_size=\"36699136\"] \n  30 -> 32 [size =\"36699136\"]\n  30 -> 33 [size =\"36699136\"]\n  31 [size=\"102755840\", alpha=\"0.10\", expect_size=\"41102336\"] \n  31 -> 32 [size =\"41102336\"]\n  32 [size=\"36853760\", alpha=\"0.09\", expect_size=\"14741504\"] \n  32 -> 34 [size =\"14741504\"]\n  33 [size=\"127572480\", alpha=\"0.08\", expect_size=\"51028992\"] \n  33 -> 34 [size =\"51028992\"]\n  34 [size=\"102387200\", alpha=\"0.01\", expect_size=\"40954880\"] \n  34 -> 35 [size =\"40954880\"]\n  34 -> 36 [size =\"40954880\"]\n  34 -> 37 [size =\"40954880\"]\n  35 [size=\"20382720\", alpha=\"0.19\", expect_size=\"8153088\"] \n  35 -> 38 [size =\"8153088\"]\n  35 -> 39 [size =\"8153088\"]\n  35 -> 40 [size =\"8153088\"]\n  36 [size=\"77775360\", alpha=\"0.07\", expect_size=\"31110144\"] \n  36 -> 38 [size =\"31110144\"]\n  36 -> 39 [size =\"31110144\"]\n  37 [size=\"63424000\", alpha=\"0.15\", expect_size=\"25369600\"] \n  37 -> 38 [size =\"25369600\"]\n  37 -> 39 [size =\"25369600\"]\n  37 -> 40 [size =\"25369600\"]\n  38 [size=\"113313280\", alpha=\"0.17\", expect_size=\"45325312\"] \n  38 -> 42 [size =\"45325312\"]\n  38 -> 43 [size =\"45325312\"]\n  38 -> 44 [size =\"45325312\"]\n  39 [size=\"21652480\", alpha=\"0.03\", expect_size=\"8660992\"] \n  39 -> 41 [size =\"8660992\"]\n  39 -> 42 [size =\"8660992\"]\n  39 -> 44 [size =\"8660992\"]\n  40 [size=\"95308800\", alpha=\"0.02\", expect_size=\"38123520\"] \n  40 -> 42 [size =\"38123520\"]\n  40 -> 43 [size =\"38123520\"]\n  40 -> 44 [size =\"38123520\"]\n  41 [size=\"130373120\", alpha=\"0.03\", expect_size=\"52149248\"] \n  41 -> 45 [size =\"52149248\"]\n  42 [size=\"74314240\", alpha=\"0.15\", expect_size=\"29725696\"] \n  42 -> 45 [size =\"29725696\"]\n  43 [size=\"128192000\", alpha=\"0.01\", expect_size=\"51276800\"] \n  43 -> 45 [size =\"51276800\"]\n  44 [size=\"58055680\", alpha=\"0.04\", expect_size=\"23222272\"] \n  44 -> 45 [size =\"23222272\"]\n  45 [size=\"66191360\", alpha=\"0.02\", expect_size=\"26476544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47006720\", alpha=\"0.07\", expect_size=\"18802688\"] \n  1 -> 7 [size =\"18802688\"]\n  1 -> 9 [size =\"18802688\"]\n  2 [size=\"13537280\", alpha=\"0.15\", expect_size=\"5414912\"] \n  2 -> 6 [size =\"5414912\"]\n  2 -> 8 [size =\"5414912\"]\n  2 -> 10 [size =\"5414912\"]\n  3 [size=\"81205760\", alpha=\"0.13\", expect_size=\"32482304\"] \n  3 -> 6 [size =\"32482304\"]\n  3 -> 7 [size =\"32482304\"]\n  3 -> 9 [size =\"32482304\"]\n  3 -> 10 [size =\"32482304\"]\n  4 [size=\"19415040\", alpha=\"0.09\", expect_size=\"7766016\"] \n  4 -> 8 [size =\"7766016\"]\n  4 -> 10 [size =\"7766016\"]\n  5 [size=\"26513920\", alpha=\"0.04\", expect_size=\"10605568\"] \n  5 -> 6 [size =\"10605568\"]\n  6 [size=\"121546240\", alpha=\"0.13\", expect_size=\"48618496\"] \n  6 -> 13 [size =\"48618496\"]\n  7 [size=\"60925440\", alpha=\"0.14\", expect_size=\"24370176\"] \n  7 -> 11 [size =\"24370176\"]\n  7 -> 12 [size =\"24370176\"]\n  7 -> 13 [size =\"24370176\"]\n  7 -> 16 [size =\"24370176\"]\n  8 [size=\"45332480\", alpha=\"0.03\", expect_size=\"18132992\"] \n  8 -> 13 [size =\"18132992\"]\n  8 -> 14 [size =\"18132992\"]\n  9 [size=\"88926720\", alpha=\"0.00\", expect_size=\"35570688\"] \n  9 -> 11 [size =\"35570688\"]\n  9 -> 15 [size =\"35570688\"]\n  10 [size=\"66117120\", alpha=\"0.09\", expect_size=\"26446848\"] \n  10 -> 11 [size =\"26446848\"]\n  11 [size=\"88289280\", alpha=\"0.18\", expect_size=\"35315712\"] \n  11 -> 21 [size =\"35315712\"]\n  11 -> 23 [size =\"35315712\"]\n  11 -> 24 [size =\"35315712\"]\n  12 [size=\"130618880\", alpha=\"0.03\", expect_size=\"52247552\"] \n  12 -> 21 [size =\"52247552\"]\n  12 -> 23 [size =\"52247552\"]\n  13 [size=\"103098880\", alpha=\"0.00\", expect_size=\"41239552\"] \n  13 -> 17 [size =\"41239552\"]\n  13 -> 19 [size =\"41239552\"]\n  13 -> 23 [size =\"41239552\"]\n  14 [size=\"60380160\", alpha=\"0.19\", expect_size=\"24152064\"] \n  14 -> 18 [size =\"24152064\"]\n  14 -> 19 [size =\"24152064\"]\n  14 -> 20 [size =\"24152064\"]\n  14 -> 21 [size =\"24152064\"]\n  14 -> 22 [size =\"24152064\"]\n  14 -> 24 [size =\"24152064\"]\n  15 [size=\"115025920\", alpha=\"0.04\", expect_size=\"46010368\"] \n  15 -> 23 [size =\"46010368\"]\n  16 [size=\"21319680\", alpha=\"0.04\", expect_size=\"8527872\"] \n  16 -> 18 [size =\"8527872\"]\n  16 -> 22 [size =\"8527872\"]\n  16 -> 24 [size =\"8527872\"]\n  17 [size=\"97029120\", alpha=\"0.05\", expect_size=\"38811648\"] \n  17 -> 31 [size =\"38811648\"]\n  18 [size=\"60006400\", alpha=\"0.09\", expect_size=\"24002560\"] \n  18 -> 26 [size =\"24002560\"]\n  18 -> 31 [size =\"24002560\"]\n  19 [size=\"76971520\", alpha=\"0.02\", expect_size=\"30788608\"] \n  19 -> 25 [size =\"30788608\"]\n  19 -> 26 [size =\"30788608\"]\n  19 -> 28 [size =\"30788608\"]\n  19 -> 31 [size =\"30788608\"]\n  20 [size=\"77770240\", alpha=\"0.14\", expect_size=\"31108096\"] \n  20 -> 25 [size =\"31108096\"]\n  20 -> 26 [size =\"31108096\"]\n  20 -> 27 [size =\"31108096\"]\n  20 -> 28 [size =\"31108096\"]\n  20 -> 29 [size =\"31108096\"]\n  20 -> 30 [size =\"31108096\"]\n  20 -> 31 [size =\"31108096\"]\n  21 [size=\"13411840\", alpha=\"0.12\", expect_size=\"5364736\"] \n  21 -> 26 [size =\"5364736\"]\n  21 -> 27 [size =\"5364736\"]\n  21 -> 30 [size =\"5364736\"]\n  22 [size=\"117035520\", alpha=\"0.09\", expect_size=\"46814208\"] \n  22 -> 28 [size =\"46814208\"]\n  23 [size=\"19714560\", alpha=\"0.18\", expect_size=\"7885824\"] \n  23 -> 28 [size =\"7885824\"]\n  23 -> 29 [size =\"7885824\"]\n  24 [size=\"21957120\", alpha=\"0.09\", expect_size=\"8782848\"] \n  24 -> 25 [size =\"8782848\"]\n  24 -> 26 [size =\"8782848\"]\n  24 -> 28 [size =\"8782848\"]\n  24 -> 30 [size =\"8782848\"]\n  25 [size=\"13532160\", alpha=\"0.01\", expect_size=\"5412864\"] \n  25 -> 36 [size =\"5412864\"]\n  25 -> 39 [size =\"5412864\"]\n  26 [size=\"34675200\", alpha=\"0.12\", expect_size=\"13870080\"] \n  27 [size=\"60779520\", alpha=\"0.11\", expect_size=\"24311808\"] \n  27 -> 37 [size =\"24311808\"]\n  28 [size=\"92776960\", alpha=\"0.16\", expect_size=\"37110784\"] \n  28 -> 32 [size =\"37110784\"]\n  28 -> 37 [size =\"37110784\"]\n  28 -> 38 [size =\"37110784\"]\n  29 [size=\"25177600\", alpha=\"0.13\", expect_size=\"10071040\"] \n  29 -> 34 [size =\"10071040\"]\n  29 -> 37 [size =\"10071040\"]\n  30 [size=\"37808640\", alpha=\"0.19\", expect_size=\"15123456\"] \n  30 -> 36 [size =\"15123456\"]\n  30 -> 38 [size =\"15123456\"]\n  31 [size=\"120268800\", alpha=\"0.19\", expect_size=\"48107520\"] \n  31 -> 33 [size =\"48107520\"]\n  31 -> 35 [size =\"48107520\"]\n  32 [size=\"70525440\", alpha=\"0.18\", expect_size=\"28210176\"] \n  32 -> 41 [size =\"28210176\"]\n  32 -> 42 [size =\"28210176\"]\n  32 -> 43 [size =\"28210176\"]\n  32 -> 44 [size =\"28210176\"]\n  33 [size=\"124940800\", alpha=\"0.12\", expect_size=\"49976320\"] \n  33 -> 40 [size =\"49976320\"]\n  34 [size=\"115688960\", alpha=\"0.14\", expect_size=\"46275584\"] \n  34 -> 41 [size =\"46275584\"]\n  34 -> 42 [size =\"46275584\"]\n  34 -> 43 [size =\"46275584\"]\n  34 -> 44 [size =\"46275584\"]\n  35 [size=\"49072640\", alpha=\"0.14\", expect_size=\"19629056\"] \n  35 -> 40 [size =\"19629056\"]\n  35 -> 41 [size =\"19629056\"]\n  35 -> 44 [size =\"19629056\"]\n  36 [size=\"56468480\", alpha=\"0.15\", expect_size=\"22587392\"] \n  36 -> 41 [size =\"22587392\"]\n  36 -> 42 [size =\"22587392\"]\n  36 -> 43 [size =\"22587392\"]\n  36 -> 44 [size =\"22587392\"]\n  37 [size=\"128350720\", alpha=\"0.10\", expect_size=\"51340288\"] \n  37 -> 40 [size =\"51340288\"]\n  37 -> 42 [size =\"51340288\"]\n  38 [size=\"76610560\", alpha=\"0.13\", expect_size=\"30644224\"] \n  38 -> 40 [size =\"30644224\"]\n  39 [size=\"51438080\", alpha=\"0.07\", expect_size=\"20575232\"] \n  39 -> 41 [size =\"20575232\"]\n  39 -> 42 [size =\"20575232\"]\n  39 -> 43 [size =\"20575232\"]\n  40 [size=\"128650240\", alpha=\"0.12\", expect_size=\"51460096\"] \n  41 [size=\"125332480\", alpha=\"0.17\", expect_size=\"50132992\"] \n  42 [size=\"116669440\", alpha=\"0.19\", expect_size=\"46667776\"] \n  43 [size=\"102202880\", alpha=\"0.03\", expect_size=\"40881152\"] \n  43 -> 45 [size =\"40881152\"]\n  44 [size=\"53967360\", alpha=\"0.08\", expect_size=\"21586944\"] \n  44 -> 45 [size =\"21586944\"]\n  45 [size=\"19235840\", alpha=\"0.14\", expect_size=\"7694336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22781952\", alpha=\"0.14\", expect_size=\"11390976\"] \n  1 -> 31 [size =\"11390976\"]\n  1 -> 34 [size =\"11390976\"]\n  1 -> 36 [size =\"11390976\"]\n  1 -> 37 [size =\"11390976\"]\n  1 -> 42 [size =\"11390976\"]\n  1 -> 45 [size =\"11390976\"]\n  2 [size=\"43892736\", alpha=\"0.06\", expect_size=\"21946368\"] \n  2 -> 34 [size =\"21946368\"]\n  2 -> 37 [size =\"21946368\"]\n  2 -> 42 [size =\"21946368\"]\n  2 -> 45 [size =\"21946368\"]\n  3 [size=\"95305728\", alpha=\"0.18\", expect_size=\"47652864\"] \n  3 -> 33 [size =\"47652864\"]\n  3 -> 34 [size =\"47652864\"]\n  3 -> 35 [size =\"47652864\"]\n  3 -> 39 [size =\"47652864\"]\n  3 -> 42 [size =\"47652864\"]\n  3 -> 45 [size =\"47652864\"]\n  4 [size=\"88602624\", alpha=\"0.17\", expect_size=\"44301312\"] \n  4 -> 30 [size =\"44301312\"]\n  4 -> 35 [size =\"44301312\"]\n  4 -> 40 [size =\"44301312\"]\n  4 -> 42 [size =\"44301312\"]\n  4 -> 42 [size =\"44301312\"]\n  5 [size=\"16211968\", alpha=\"0.10\", expect_size=\"8105984\"] \n  5 -> 31 [size =\"8105984\"]\n  5 -> 34 [size =\"8105984\"]\n  5 -> 37 [size =\"8105984\"]\n  5 -> 41 [size =\"8105984\"]\n  5 -> 42 [size =\"8105984\"]\n  5 -> 45 [size =\"8105984\"]\n  6 [size=\"65415168\", alpha=\"0.06\", expect_size=\"32707584\"] \n  6 -> 31 [size =\"32707584\"]\n  6 -> 34 [size =\"32707584\"]\n  6 -> 39 [size =\"32707584\"]\n  6 -> 40 [size =\"32707584\"]\n  6 -> 41 [size =\"32707584\"]\n  6 -> 42 [size =\"32707584\"]\n  6 -> 44 [size =\"32707584\"]\n  7 [size=\"82044928\", alpha=\"0.02\", expect_size=\"41022464\"] \n  7 -> 30 [size =\"41022464\"]\n  7 -> 31 [size =\"41022464\"]\n  7 -> 34 [size =\"41022464\"]\n  7 -> 39 [size =\"41022464\"]\n  7 -> 42 [size =\"41022464\"]\n  7 -> 42 [size =\"41022464\"]\n  7 -> 45 [size =\"41022464\"]\n  8 [size=\"25708544\", alpha=\"0.12\", expect_size=\"12854272\"] \n  8 -> 31 [size =\"12854272\"]\n  8 -> 31 [size =\"12854272\"]\n  8 -> 32 [size =\"12854272\"]\n  8 -> 36 [size =\"12854272\"]\n  8 -> 37 [size =\"12854272\"]\n  8 -> 39 [size =\"12854272\"]\n  8 -> 40 [size =\"12854272\"]\n  8 -> 41 [size =\"12854272\"]\n  8 -> 45 [size =\"12854272\"]\n  9 [size=\"41123840\", alpha=\"0.18\", expect_size=\"20561920\"] \n  9 -> 29 [size =\"20561920\"]\n  9 -> 31 [size =\"20561920\"]\n  9 -> 39 [size =\"20561920\"]\n  10 [size=\"48297984\", alpha=\"0.01\", expect_size=\"24148992\"] \n  10 -> 29 [size =\"24148992\"]\n  10 -> 34 [size =\"24148992\"]\n  10 -> 40 [size =\"24148992\"]\n  10 -> 41 [size =\"24148992\"]\n  10 -> 42 [size =\"24148992\"]\n  10 -> 45 [size =\"24148992\"]\n  11 [size=\"66785280\", alpha=\"0.01\", expect_size=\"33392640\"] \n  11 -> 37 [size =\"33392640\"]\n  11 -> 39 [size =\"33392640\"]\n  11 -> 41 [size =\"33392640\"]\n  11 -> 44 [size =\"33392640\"]\n  11 -> 45 [size =\"33392640\"]\n  12 [size=\"36128768\", alpha=\"0.05\", expect_size=\"18064384\"] \n  12 -> 32 [size =\"18064384\"]\n  12 -> 35 [size =\"18064384\"]\n  13 [size=\"62437376\", alpha=\"0.07\", expect_size=\"31218688\"] \n  13 -> 35 [size =\"31218688\"]\n  13 -> 42 [size =\"31218688\"]\n  14 [size=\"51021824\", alpha=\"0.19\", expect_size=\"25510912\"] \n  14 -> 34 [size =\"25510912\"]\n  14 -> 37 [size =\"25510912\"]\n  14 -> 41 [size =\"25510912\"]\n  14 -> 42 [size =\"25510912\"]\n  15 [size=\"38952960\", alpha=\"0.14\", expect_size=\"19476480\"] \n  15 -> 30 [size =\"19476480\"]\n  15 -> 31 [size =\"19476480\"]\n  15 -> 35 [size =\"19476480\"]\n  15 -> 41 [size =\"19476480\"]\n  15 -> 42 [size =\"19476480\"]\n  15 -> 45 [size =\"19476480\"]\n  16 [size=\"86495232\", alpha=\"0.10\", expect_size=\"43247616\"] \n  16 -> 33 [size =\"43247616\"]\n  16 -> 35 [size =\"43247616\"]\n  16 -> 38 [size =\"43247616\"]\n  16 -> 39 [size =\"43247616\"]\n  17 [size=\"19552256\", alpha=\"0.17\", expect_size=\"9776128\"] \n  17 -> 29 [size =\"9776128\"]\n  17 -> 31 [size =\"9776128\"]\n  17 -> 32 [size =\"9776128\"]\n  17 -> 34 [size =\"9776128\"]\n  17 -> 35 [size =\"9776128\"]\n  17 -> 37 [size =\"9776128\"]\n  17 -> 38 [size =\"9776128\"]\n  17 -> 44 [size =\"9776128\"]\n  18 [size=\"30531584\", alpha=\"0.18\", expect_size=\"15265792\"] \n  18 -> 32 [size =\"15265792\"]\n  18 -> 35 [size =\"15265792\"]\n  18 -> 41 [size =\"15265792\"]\n  19 [size=\"87826432\", alpha=\"0.07\", expect_size=\"43913216\"] \n  19 -> 32 [size =\"43913216\"]\n  19 -> 34 [size =\"43913216\"]\n  19 -> 38 [size =\"43913216\"]\n  19 -> 41 [size =\"43913216\"]\n  19 -> 43 [size =\"43913216\"]\n  19 -> 45 [size =\"43913216\"]\n  20 [size=\"76494848\", alpha=\"0.05\", expect_size=\"38247424\"] \n  20 -> 30 [size =\"38247424\"]\n  20 -> 32 [size =\"38247424\"]\n  20 -> 39 [size =\"38247424\"]\n  20 -> 41 [size =\"38247424\"]\n  21 [size=\"81840128\", alpha=\"0.05\", expect_size=\"40920064\"] \n  21 -> 29 [size =\"40920064\"]\n  21 -> 32 [size =\"40920064\"]\n  21 -> 35 [size =\"40920064\"]\n  21 -> 37 [size =\"40920064\"]\n  21 -> 39 [size =\"40920064\"]\n  21 -> 40 [size =\"40920064\"]\n  21 -> 41 [size =\"40920064\"]\n  21 -> 43 [size =\"40920064\"]\n  21 -> 45 [size =\"40920064\"]\n  22 [size=\"87748608\", alpha=\"0.13\", expect_size=\"43874304\"] \n  22 -> 29 [size =\"43874304\"]\n  22 -> 32 [size =\"43874304\"]\n  22 -> 35 [size =\"43874304\"]\n  22 -> 36 [size =\"43874304\"]\n  22 -> 37 [size =\"43874304\"]\n  22 -> 41 [size =\"43874304\"]\n  22 -> 43 [size =\"43874304\"]\n  22 -> 44 [size =\"43874304\"]\n  22 -> 45 [size =\"43874304\"]\n  23 [size=\"15613952\", alpha=\"0.18\", expect_size=\"7806976\"] \n  23 -> 31 [size =\"7806976\"]\n  23 -> 45 [size =\"7806976\"]\n  24 [size=\"47020032\", alpha=\"0.00\", expect_size=\"23510016\"] \n  24 -> 31 [size =\"23510016\"]\n  24 -> 33 [size =\"23510016\"]\n  24 -> 39 [size =\"23510016\"]\n  24 -> 41 [size =\"23510016\"]\n  24 -> 45 [size =\"23510016\"]\n  25 [size=\"41023488\", alpha=\"0.04\", expect_size=\"20511744\"] \n  25 -> 31 [size =\"20511744\"]\n  25 -> 33 [size =\"20511744\"]\n  25 -> 34 [size =\"20511744\"]\n  25 -> 35 [size =\"20511744\"]\n  25 -> 39 [size =\"20511744\"]\n  25 -> 40 [size =\"20511744\"]\n  26 [size=\"13170688\", alpha=\"0.19\", expect_size=\"6585344\"] \n  26 -> 32 [size =\"6585344\"]\n  26 -> 33 [size =\"6585344\"]\n  26 -> 34 [size =\"6585344\"]\n  26 -> 35 [size =\"6585344\"]\n  26 -> 38 [size =\"6585344\"]\n  26 -> 41 [size =\"6585344\"]\n  26 -> 42 [size =\"6585344\"]\n  27 [size=\"60997632\", alpha=\"0.09\", expect_size=\"30498816\"] \n  27 -> 34 [size =\"30498816\"]\n  27 -> 44 [size =\"30498816\"]\n  27 -> 45 [size =\"30498816\"]\n  28 [size=\"48971776\", alpha=\"0.02\", expect_size=\"24485888\"] \n  28 -> 34 [size =\"24485888\"]\n  28 -> 37 [size =\"24485888\"]\n  28 -> 41 [size =\"24485888\"]\n  28 -> 42 [size =\"24485888\"]\n  28 -> 45 [size =\"24485888\"]\n  29 [size=\"37767168\", alpha=\"0.02\", expect_size=\"18883584\"] \n  30 [size=\"68956160\", alpha=\"0.10\", expect_size=\"34478080\"] \n  31 [size=\"90398720\", alpha=\"0.10\", expect_size=\"45199360\"] \n  32 [size=\"20021248\", alpha=\"0.15\", expect_size=\"10010624\"] \n  33 [size=\"79972352\", alpha=\"0.12\", expect_size=\"39986176\"] \n  34 [size=\"71960576\", alpha=\"0.16\", expect_size=\"35980288\"] \n  35 [size=\"74100736\", alpha=\"0.07\", expect_size=\"37050368\"] \n  36 [size=\"92121088\", alpha=\"0.14\", expect_size=\"46060544\"] \n  37 [size=\"86581248\", alpha=\"0.03\", expect_size=\"43290624\"] \n  38 [size=\"34670592\", alpha=\"0.17\", expect_size=\"17335296\"] \n  39 [size=\"45983744\", alpha=\"0.06\", expect_size=\"22991872\"] \n  40 [size=\"56788992\", alpha=\"0.10\", expect_size=\"28394496\"] \n  41 [size=\"10524672\", alpha=\"0.08\", expect_size=\"5262336\"] \n  42 [size=\"57862144\", alpha=\"0.03\", expect_size=\"28931072\"] \n  43 [size=\"35704832\", alpha=\"0.20\", expect_size=\"17852416\"] \n  44 [size=\"90374144\", alpha=\"0.03\", expect_size=\"45187072\"] \n  45 [size=\"73666560\", alpha=\"0.14\", expect_size=\"36833280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119575040\", alpha=\"0.05\", expect_size=\"47830016\"] \n  1 -> 2 [size =\"47830016\"]\n  2 [size=\"74721280\", alpha=\"0.17\", expect_size=\"29888512\"] \n  2 -> 3 [size =\"29888512\"]\n  3 [size=\"64588800\", alpha=\"0.08\", expect_size=\"25835520\"] \n  3 -> 4 [size =\"25835520\"]\n  4 [size=\"54776320\", alpha=\"0.09\", expect_size=\"21910528\"] \n  4 -> 5 [size =\"21910528\"]\n  5 [size=\"85447680\", alpha=\"0.11\", expect_size=\"34179072\"] \n  5 -> 6 [size =\"34179072\"]\n  6 [size=\"32015360\", alpha=\"0.00\", expect_size=\"12806144\"] \n  6 -> 7 [size =\"12806144\"]\n  7 [size=\"40552960\", alpha=\"0.03\", expect_size=\"16221184\"] \n  7 -> 8 [size =\"16221184\"]\n  8 [size=\"54620160\", alpha=\"0.13\", expect_size=\"21848064\"] \n  8 -> 9 [size =\"21848064\"]\n  9 [size=\"112686080\", alpha=\"0.18\", expect_size=\"45074432\"] \n  9 -> 10 [size =\"45074432\"]\n  10 [size=\"100272640\", alpha=\"0.02\", expect_size=\"40109056\"] \n  10 -> 11 [size =\"40109056\"]\n  11 [size=\"85596160\", alpha=\"0.20\", expect_size=\"34238464\"] \n  11 -> 12 [size =\"34238464\"]\n  12 [size=\"114882560\", alpha=\"0.11\", expect_size=\"45953024\"] \n  12 -> 13 [size =\"45953024\"]\n  13 [size=\"99420160\", alpha=\"0.12\", expect_size=\"39768064\"] \n  13 -> 14 [size =\"39768064\"]\n  14 [size=\"28392960\", alpha=\"0.13\", expect_size=\"11357184\"] \n  14 -> 15 [size =\"11357184\"]\n  15 [size=\"83996160\", alpha=\"0.10\", expect_size=\"33598464\"] \n  15 -> 16 [size =\"33598464\"]\n  16 [size=\"30310400\", alpha=\"0.10\", expect_size=\"12124160\"] \n  16 -> 17 [size =\"12124160\"]\n  17 [size=\"31831040\", alpha=\"0.08\", expect_size=\"12732416\"] \n  17 -> 18 [size =\"12732416\"]\n  18 [size=\"46945280\", alpha=\"0.10\", expect_size=\"18778112\"] \n  18 -> 19 [size =\"18778112\"]\n  19 [size=\"122419200\", alpha=\"0.05\", expect_size=\"48967680\"] \n  19 -> 20 [size =\"48967680\"]\n  20 [size=\"112949760\", alpha=\"0.07\", expect_size=\"45179904\"] \n  20 -> 21 [size =\"45179904\"]\n  21 [size=\"125708800\", alpha=\"0.08\", expect_size=\"50283520\"] \n  21 -> 22 [size =\"50283520\"]\n  22 [size=\"124195840\", alpha=\"0.19\", expect_size=\"49678336\"] \n  22 -> 23 [size =\"49678336\"]\n  23 [size=\"72110080\", alpha=\"0.18\", expect_size=\"28844032\"] \n  23 -> 24 [size =\"28844032\"]\n  24 [size=\"26004480\", alpha=\"0.05\", expect_size=\"10401792\"] \n  24 -> 25 [size =\"10401792\"]\n  25 [size=\"100856320\", alpha=\"0.04\", expect_size=\"40342528\"] \n  25 -> 26 [size =\"40342528\"]\n  26 [size=\"42931200\", alpha=\"0.06\", expect_size=\"17172480\"] \n  26 -> 27 [size =\"17172480\"]\n  27 [size=\"104693760\", alpha=\"0.13\", expect_size=\"41877504\"] \n  27 -> 28 [size =\"41877504\"]\n  28 [size=\"35937280\", alpha=\"0.06\", expect_size=\"14374912\"] \n  28 -> 29 [size =\"14374912\"]\n  29 [size=\"93662720\", alpha=\"0.17\", expect_size=\"37465088\"] \n  29 -> 30 [size =\"37465088\"]\n  30 [size=\"123732480\", alpha=\"0.02\", expect_size=\"49492992\"] \n  30 -> 31 [size =\"49492992\"]\n  31 [size=\"49600000\", alpha=\"0.00\", expect_size=\"19840000\"] \n  31 -> 32 [size =\"19840000\"]\n  32 [size=\"95697920\", alpha=\"0.15\", expect_size=\"38279168\"] \n  32 -> 33 [size =\"38279168\"]\n  33 [size=\"87713280\", alpha=\"0.05\", expect_size=\"35085312\"] \n  33 -> 34 [size =\"35085312\"]\n  34 [size=\"77127680\", alpha=\"0.17\", expect_size=\"30851072\"] \n  34 -> 35 [size =\"30851072\"]\n  35 [size=\"105612800\", alpha=\"0.01\", expect_size=\"42245120\"] \n  35 -> 36 [size =\"42245120\"]\n  36 [size=\"127544320\", alpha=\"0.08\", expect_size=\"51017728\"] \n  36 -> 37 [size =\"51017728\"]\n  37 [size=\"43868160\", alpha=\"0.19\", expect_size=\"17547264\"] \n  37 -> 38 [size =\"17547264\"]\n  38 [size=\"117962240\", alpha=\"0.15\", expect_size=\"47184896\"] \n  38 -> 39 [size =\"47184896\"]\n  39 [size=\"37445120\", alpha=\"0.09\", expect_size=\"14978048\"] \n  39 -> 40 [size =\"14978048\"]\n  40 [size=\"19857920\", alpha=\"0.01\", expect_size=\"7943168\"] \n  40 -> 41 [size =\"7943168\"]\n  41 [size=\"34406400\", alpha=\"0.12\", expect_size=\"13762560\"] \n  41 -> 42 [size =\"13762560\"]\n  42 [size=\"35614720\", alpha=\"0.01\", expect_size=\"14245888\"] \n  42 -> 43 [size =\"14245888\"]\n  43 [size=\"125263360\", alpha=\"0.00\", expect_size=\"50105344\"] \n  43 -> 44 [size =\"50105344\"]\n  44 [size=\"35768320\", alpha=\"0.02\", expect_size=\"14307328\"] \n  44 -> 45 [size =\"14307328\"]\n  45 [size=\"18350080\", alpha=\"0.19\", expect_size=\"7340032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35632640\", alpha=\"0.03\", expect_size=\"14253056\"] \n  1 -> 8 [size =\"14253056\"]\n  1 -> 10 [size =\"14253056\"]\n  2 [size=\"114444800\", alpha=\"0.13\", expect_size=\"45777920\"] \n  2 -> 8 [size =\"45777920\"]\n  2 -> 13 [size =\"45777920\"]\n  3 [size=\"130887680\", alpha=\"0.17\", expect_size=\"52355072\"] \n  4 [size=\"46791680\", alpha=\"0.17\", expect_size=\"18716672\"] \n  4 -> 10 [size =\"18716672\"]\n  4 -> 13 [size =\"18716672\"]\n  5 [size=\"77063680\", alpha=\"0.03\", expect_size=\"30825472\"] \n  6 [size=\"91002880\", alpha=\"0.15\", expect_size=\"36401152\"] \n  6 -> 9 [size =\"36401152\"]\n  6 -> 11 [size =\"36401152\"]\n  7 [size=\"43284480\", alpha=\"0.08\", expect_size=\"17313792\"] \n  7 -> 8 [size =\"17313792\"]\n  7 -> 9 [size =\"17313792\"]\n  7 -> 10 [size =\"17313792\"]\n  7 -> 11 [size =\"17313792\"]\n  7 -> 12 [size =\"17313792\"]\n  8 [size=\"19504640\", alpha=\"0.02\", expect_size=\"7801856\"] \n  8 -> 15 [size =\"7801856\"]\n  9 [size=\"35601920\", alpha=\"0.11\", expect_size=\"14240768\"] \n  9 -> 14 [size =\"14240768\"]\n  9 -> 15 [size =\"14240768\"]\n  10 [size=\"79508480\", alpha=\"0.02\", expect_size=\"31803392\"] \n  10 -> 14 [size =\"31803392\"]\n  11 [size=\"22077440\", alpha=\"0.17\", expect_size=\"8830976\"] \n  11 -> 14 [size =\"8830976\"]\n  11 -> 15 [size =\"8830976\"]\n  11 -> 17 [size =\"8830976\"]\n  12 [size=\"40640000\", alpha=\"0.08\", expect_size=\"16256000\"] \n  12 -> 16 [size =\"16256000\"]\n  13 [size=\"118576640\", alpha=\"0.02\", expect_size=\"47430656\"] \n  14 [size=\"100579840\", alpha=\"0.04\", expect_size=\"40231936\"] \n  15 [size=\"84451840\", alpha=\"0.02\", expect_size=\"33780736\"] \n  15 -> 18 [size =\"33780736\"]\n  15 -> 19 [size =\"33780736\"]\n  15 -> 21 [size =\"33780736\"]\n  15 -> 22 [size =\"33780736\"]\n  16 [size=\"104642560\", alpha=\"0.06\", expect_size=\"41857024\"] \n  16 -> 19 [size =\"41857024\"]\n  17 [size=\"73464320\", alpha=\"0.18\", expect_size=\"29385728\"] \n  17 -> 20 [size =\"29385728\"]\n  18 [size=\"123005440\", alpha=\"0.08\", expect_size=\"49202176\"] \n  19 [size=\"19722240\", alpha=\"0.08\", expect_size=\"7888896\"] \n  19 -> 26 [size =\"7888896\"]\n  20 [size=\"86074880\", alpha=\"0.20\", expect_size=\"34429952\"] \n  20 -> 23 [size =\"34429952\"]\n  20 -> 24 [size =\"34429952\"]\n  20 -> 25 [size =\"34429952\"]\n  20 -> 26 [size =\"34429952\"]\n  21 [size=\"95242240\", alpha=\"0.16\", expect_size=\"38096896\"] \n  21 -> 23 [size =\"38096896\"]\n  22 [size=\"75174400\", alpha=\"0.09\", expect_size=\"30069760\"] \n  22 -> 23 [size =\"30069760\"]\n  22 -> 24 [size =\"30069760\"]\n  22 -> 25 [size =\"30069760\"]\n  22 -> 27 [size =\"30069760\"]\n  23 [size=\"120591360\", alpha=\"0.03\", expect_size=\"48236544\"] \n  23 -> 28 [size =\"48236544\"]\n  24 [size=\"129704960\", alpha=\"0.02\", expect_size=\"51881984\"] \n  24 -> 28 [size =\"51881984\"]\n  24 -> 32 [size =\"51881984\"]\n  25 [size=\"36787200\", alpha=\"0.12\", expect_size=\"14714880\"] \n  25 -> 28 [size =\"14714880\"]\n  26 [size=\"51484160\", alpha=\"0.15\", expect_size=\"20593664\"] \n  26 -> 29 [size =\"20593664\"]\n  26 -> 30 [size =\"20593664\"]\n  26 -> 32 [size =\"20593664\"]\n  27 [size=\"88058880\", alpha=\"0.03\", expect_size=\"35223552\"] \n  27 -> 30 [size =\"35223552\"]\n  27 -> 31 [size =\"35223552\"]\n  28 [size=\"75153920\", alpha=\"0.12\", expect_size=\"30061568\"] \n  28 -> 33 [size =\"30061568\"]\n  28 -> 35 [size =\"30061568\"]\n  28 -> 36 [size =\"30061568\"]\n  29 [size=\"122365440\", alpha=\"0.05\", expect_size=\"48946176\"] \n  29 -> 37 [size =\"48946176\"]\n  29 -> 38 [size =\"48946176\"]\n  30 [size=\"49551360\", alpha=\"0.09\", expect_size=\"19820544\"] \n  30 -> 33 [size =\"19820544\"]\n  30 -> 38 [size =\"19820544\"]\n  31 [size=\"49405440\", alpha=\"0.15\", expect_size=\"19762176\"] \n  31 -> 33 [size =\"19762176\"]\n  31 -> 37 [size =\"19762176\"]\n  31 -> 38 [size =\"19762176\"]\n  32 [size=\"26490880\", alpha=\"0.06\", expect_size=\"10596352\"] \n  32 -> 34 [size =\"10596352\"]\n  32 -> 37 [size =\"10596352\"]\n  33 [size=\"82145280\", alpha=\"0.14\", expect_size=\"32858112\"] \n  33 -> 40 [size =\"32858112\"]\n  33 -> 43 [size =\"32858112\"]\n  34 [size=\"98222080\", alpha=\"0.17\", expect_size=\"39288832\"] \n  34 -> 39 [size =\"39288832\"]\n  34 -> 40 [size =\"39288832\"]\n  34 -> 41 [size =\"39288832\"]\n  34 -> 44 [size =\"39288832\"]\n  35 [size=\"108408320\", alpha=\"0.13\", expect_size=\"43363328\"] \n  35 -> 40 [size =\"43363328\"]\n  36 [size=\"58690560\", alpha=\"0.04\", expect_size=\"23476224\"] \n  36 -> 39 [size =\"23476224\"]\n  36 -> 43 [size =\"23476224\"]\n  37 [size=\"26972160\", alpha=\"0.05\", expect_size=\"10788864\"] \n  37 -> 43 [size =\"10788864\"]\n  38 [size=\"43430400\", alpha=\"0.04\", expect_size=\"17372160\"] \n  38 -> 39 [size =\"17372160\"]\n  38 -> 41 [size =\"17372160\"]\n  38 -> 42 [size =\"17372160\"]\n  39 [size=\"114462720\", alpha=\"0.05\", expect_size=\"45785088\"] \n  39 -> 45 [size =\"45785088\"]\n  40 [size=\"26634240\", alpha=\"0.18\", expect_size=\"10653696\"] \n  40 -> 45 [size =\"10653696\"]\n  41 [size=\"82280960\", alpha=\"0.06\", expect_size=\"32912384\"] \n  41 -> 45 [size =\"32912384\"]\n  42 [size=\"54440960\", alpha=\"0.03\", expect_size=\"21776384\"] \n  43 [size=\"88611840\", alpha=\"0.19\", expect_size=\"35444736\"] \n  44 [size=\"54338560\", alpha=\"0.15\", expect_size=\"21735424\"] \n  45 [size=\"39091200\", alpha=\"0.14\", expect_size=\"15636480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64888320\", alpha=\"0.20\", expect_size=\"25955328\"] \n  1 -> 7 [size =\"25955328\"]\n  1 -> 8 [size =\"25955328\"]\n  1 -> 9 [size =\"25955328\"]\n  1 -> 11 [size =\"25955328\"]\n  2 [size=\"38174720\", alpha=\"0.01\", expect_size=\"15269888\"] \n  2 -> 7 [size =\"15269888\"]\n  2 -> 8 [size =\"15269888\"]\n  2 -> 11 [size =\"15269888\"]\n  2 -> 11 [size =\"15269888\"]\n  3 [size=\"26227200\", alpha=\"0.13\", expect_size=\"10490880\"] \n  4 [size=\"81530880\", alpha=\"0.11\", expect_size=\"32612352\"] \n  4 -> 7 [size =\"32612352\"]\n  4 -> 8 [size =\"32612352\"]\n  5 [size=\"82593280\", alpha=\"0.13\", expect_size=\"33037312\"] \n  5 -> 7 [size =\"33037312\"]\n  5 -> 8 [size =\"33037312\"]\n  5 -> 11 [size =\"33037312\"]\n  6 [size=\"64399360\", alpha=\"0.14\", expect_size=\"25759744\"] \n  6 -> 8 [size =\"25759744\"]\n  6 -> 8 [size =\"25759744\"]\n  6 -> 10 [size =\"25759744\"]\n  6 -> 11 [size =\"25759744\"]\n  7 [size=\"100462080\", alpha=\"0.03\", expect_size=\"40184832\"] \n  7 -> 12 [size =\"40184832\"]\n  7 -> 13 [size =\"40184832\"]\n  7 -> 14 [size =\"40184832\"]\n  7 -> 16 [size =\"40184832\"]\n  7 -> 17 [size =\"40184832\"]\n  7 -> 18 [size =\"40184832\"]\n  8 [size=\"115983360\", alpha=\"0.10\", expect_size=\"46393344\"] \n  8 -> 12 [size =\"46393344\"]\n  8 -> 13 [size =\"46393344\"]\n  8 -> 14 [size =\"46393344\"]\n  8 -> 15 [size =\"46393344\"]\n  8 -> 16 [size =\"46393344\"]\n  9 [size=\"97487360\", alpha=\"0.19\", expect_size=\"38994944\"] \n  9 -> 12 [size =\"38994944\"]\n  9 -> 13 [size =\"38994944\"]\n  9 -> 14 [size =\"38994944\"]\n  9 -> 18 [size =\"38994944\"]\n  10 [size=\"125818880\", alpha=\"0.08\", expect_size=\"50327552\"] \n  10 -> 12 [size =\"50327552\"]\n  10 -> 13 [size =\"50327552\"]\n  10 -> 14 [size =\"50327552\"]\n  10 -> 18 [size =\"50327552\"]\n  11 [size=\"81505280\", alpha=\"0.06\", expect_size=\"32602112\"] \n  11 -> 12 [size =\"32602112\"]\n  11 -> 13 [size =\"32602112\"]\n  11 -> 14 [size =\"32602112\"]\n  11 -> 15 [size =\"32602112\"]\n  11 -> 16 [size =\"32602112\"]\n  11 -> 17 [size =\"32602112\"]\n  11 -> 18 [size =\"32602112\"]\n  12 [size=\"79132160\", alpha=\"0.08\", expect_size=\"31652864\"] \n  12 -> 20 [size =\"31652864\"]\n  12 -> 21 [size =\"31652864\"]\n  12 -> 23 [size =\"31652864\"]\n  12 -> 23 [size =\"31652864\"]\n  12 -> 24 [size =\"31652864\"]\n  12 -> 25 [size =\"31652864\"]\n  13 [size=\"82992640\", alpha=\"0.13\", expect_size=\"33197056\"] \n  13 -> 19 [size =\"33197056\"]\n  13 -> 21 [size =\"33197056\"]\n  13 -> 23 [size =\"33197056\"]\n  13 -> 24 [size =\"33197056\"]\n  14 [size=\"41246720\", alpha=\"0.12\", expect_size=\"16498688\"] \n  14 -> 19 [size =\"16498688\"]\n  14 -> 21 [size =\"16498688\"]\n  14 -> 23 [size =\"16498688\"]\n  14 -> 24 [size =\"16498688\"]\n  15 [size=\"106874880\", alpha=\"0.11\", expect_size=\"42749952\"] \n  15 -> 19 [size =\"42749952\"]\n  15 -> 21 [size =\"42749952\"]\n  15 -> 22 [size =\"42749952\"]\n  15 -> 23 [size =\"42749952\"]\n  15 -> 24 [size =\"42749952\"]\n  15 -> 25 [size =\"42749952\"]\n  16 [size=\"66337280\", alpha=\"0.01\", expect_size=\"26534912\"] \n  16 -> 19 [size =\"26534912\"]\n  16 -> 21 [size =\"26534912\"]\n  16 -> 22 [size =\"26534912\"]\n  16 -> 24 [size =\"26534912\"]\n  17 [size=\"28190720\", alpha=\"0.07\", expect_size=\"11276288\"] \n  17 -> 19 [size =\"11276288\"]\n  17 -> 21 [size =\"11276288\"]\n  17 -> 22 [size =\"11276288\"]\n  17 -> 23 [size =\"11276288\"]\n  17 -> 24 [size =\"11276288\"]\n  18 [size=\"48453120\", alpha=\"0.04\", expect_size=\"19381248\"] \n  18 -> 19 [size =\"19381248\"]\n  18 -> 20 [size =\"19381248\"]\n  18 -> 21 [size =\"19381248\"]\n  18 -> 23 [size =\"19381248\"]\n  18 -> 24 [size =\"19381248\"]\n  19 [size=\"110179840\", alpha=\"0.17\", expect_size=\"44071936\"] \n  19 -> 27 [size =\"44071936\"]\n  19 -> 30 [size =\"44071936\"]\n  20 [size=\"102919680\", alpha=\"0.13\", expect_size=\"41167872\"] \n  20 -> 26 [size =\"41167872\"]\n  21 [size=\"32376320\", alpha=\"0.18\", expect_size=\"12950528\"] \n  21 -> 27 [size =\"12950528\"]\n  22 [size=\"70635520\", alpha=\"0.06\", expect_size=\"28254208\"] \n  22 -> 27 [size =\"28254208\"]\n  22 -> 28 [size =\"28254208\"]\n  23 [size=\"118993920\", alpha=\"0.17\", expect_size=\"47597568\"] \n  23 -> 30 [size =\"47597568\"]\n  24 [size=\"77427200\", alpha=\"0.20\", expect_size=\"30970880\"] \n  24 -> 27 [size =\"30970880\"]\n  24 -> 29 [size =\"30970880\"]\n  24 -> 30 [size =\"30970880\"]\n  25 [size=\"29588480\", alpha=\"0.14\", expect_size=\"11835392\"] \n  25 -> 27 [size =\"11835392\"]\n  25 -> 28 [size =\"11835392\"]\n  25 -> 29 [size =\"11835392\"]\n  25 -> 30 [size =\"11835392\"]\n  26 [size=\"92385280\", alpha=\"0.17\", expect_size=\"36954112\"] \n  26 -> 34 [size =\"36954112\"]\n  27 [size=\"100480000\", alpha=\"0.15\", expect_size=\"40192000\"] \n  27 -> 31 [size =\"40192000\"]\n  27 -> 33 [size =\"40192000\"]\n  27 -> 35 [size =\"40192000\"]\n  28 [size=\"21731840\", alpha=\"0.10\", expect_size=\"8692736\"] \n  28 -> 32 [size =\"8692736\"]\n  29 [size=\"46333440\", alpha=\"0.20\", expect_size=\"18533376\"] \n  29 -> 31 [size =\"18533376\"]\n  29 -> 33 [size =\"18533376\"]\n  30 [size=\"31398400\", alpha=\"0.09\", expect_size=\"12559360\"] \n  31 [size=\"109017600\", alpha=\"0.09\", expect_size=\"43607040\"] \n  31 -> 38 [size =\"43607040\"]\n  31 -> 38 [size =\"43607040\"]\n  32 [size=\"95045120\", alpha=\"0.00\", expect_size=\"38018048\"] \n  32 -> 36 [size =\"38018048\"]\n  32 -> 37 [size =\"38018048\"]\n  32 -> 38 [size =\"38018048\"]\n  33 [size=\"14548480\", alpha=\"0.04\", expect_size=\"5819392\"] \n  33 -> 39 [size =\"5819392\"]\n  34 [size=\"116579840\", alpha=\"0.12\", expect_size=\"46631936\"] \n  34 -> 36 [size =\"46631936\"]\n  34 -> 37 [size =\"46631936\"]\n  34 -> 38 [size =\"46631936\"]\n  34 -> 39 [size =\"46631936\"]\n  35 [size=\"115668480\", alpha=\"0.16\", expect_size=\"46267392\"] \n  35 -> 37 [size =\"46267392\"]\n  35 -> 38 [size =\"46267392\"]\n  36 [size=\"81300480\", alpha=\"0.09\", expect_size=\"32520192\"] \n  37 [size=\"64770560\", alpha=\"0.04\", expect_size=\"25908224\"] \n  37 -> 40 [size =\"25908224\"]\n  37 -> 42 [size =\"25908224\"]\n  37 -> 43 [size =\"25908224\"]\n  38 [size=\"35471360\", alpha=\"0.06\", expect_size=\"14188544\"] \n  38 -> 43 [size =\"14188544\"]\n  38 -> 44 [size =\"14188544\"]\n  39 [size=\"96281600\", alpha=\"0.04\", expect_size=\"38512640\"] \n  39 -> 40 [size =\"38512640\"]\n  39 -> 41 [size =\"38512640\"]\n  39 -> 44 [size =\"38512640\"]\n  40 [size=\"95651840\", alpha=\"0.17\", expect_size=\"38260736\"] \n  40 -> 45 [size =\"38260736\"]\n  41 [size=\"28328960\", alpha=\"0.14\", expect_size=\"11331584\"] \n  41 -> 45 [size =\"11331584\"]\n  42 [size=\"80678400\", alpha=\"0.00\", expect_size=\"32271360\"] \n  42 -> 45 [size =\"32271360\"]\n  43 [size=\"82795520\", alpha=\"0.04\", expect_size=\"33118208\"] \n  43 -> 45 [size =\"33118208\"]\n  44 [size=\"104568320\", alpha=\"0.19\", expect_size=\"41827328\"] \n  44 -> 45 [size =\"41827328\"]\n  45 [size=\"56174080\", alpha=\"0.17\", expect_size=\"22469632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47633920\", alpha=\"0.11\", expect_size=\"19053568\"] \n  1 -> 2 [size =\"19053568\"]\n  2 [size=\"127518720\", alpha=\"0.07\", expect_size=\"51007488\"] \n  2 -> 3 [size =\"51007488\"]\n  3 [size=\"33653760\", alpha=\"0.13\", expect_size=\"13461504\"] \n  3 -> 4 [size =\"13461504\"]\n  4 [size=\"81157120\", alpha=\"0.13\", expect_size=\"32462848\"] \n  4 -> 5 [size =\"32462848\"]\n  5 [size=\"34109440\", alpha=\"0.02\", expect_size=\"13643776\"] \n  5 -> 6 [size =\"13643776\"]\n  6 [size=\"70138880\", alpha=\"0.08\", expect_size=\"28055552\"] \n  6 -> 7 [size =\"28055552\"]\n  7 [size=\"127255040\", alpha=\"0.12\", expect_size=\"50902016\"] \n  7 -> 8 [size =\"50902016\"]\n  8 [size=\"40967680\", alpha=\"0.13\", expect_size=\"16387072\"] \n  8 -> 9 [size =\"16387072\"]\n  9 [size=\"79098880\", alpha=\"0.16\", expect_size=\"31639552\"] \n  9 -> 10 [size =\"31639552\"]\n  10 [size=\"110433280\", alpha=\"0.09\", expect_size=\"44173312\"] \n  10 -> 11 [size =\"44173312\"]\n  11 [size=\"46231040\", alpha=\"0.03\", expect_size=\"18492416\"] \n  11 -> 12 [size =\"18492416\"]\n  12 [size=\"111997440\", alpha=\"0.16\", expect_size=\"44798976\"] \n  12 -> 13 [size =\"44798976\"]\n  13 [size=\"32793600\", alpha=\"0.13\", expect_size=\"13117440\"] \n  13 -> 14 [size =\"13117440\"]\n  14 [size=\"112094720\", alpha=\"0.18\", expect_size=\"44837888\"] \n  14 -> 15 [size =\"44837888\"]\n  15 [size=\"72785920\", alpha=\"0.15\", expect_size=\"29114368\"] \n  15 -> 16 [size =\"29114368\"]\n  16 [size=\"86305280\", alpha=\"0.05\", expect_size=\"34522112\"] \n  16 -> 17 [size =\"34522112\"]\n  17 [size=\"14405120\", alpha=\"0.05\", expect_size=\"5762048\"] \n  17 -> 18 [size =\"5762048\"]\n  18 [size=\"84492800\", alpha=\"0.11\", expect_size=\"33797120\"] \n  18 -> 19 [size =\"33797120\"]\n  19 [size=\"41807360\", alpha=\"0.15\", expect_size=\"16722944\"] \n  19 -> 20 [size =\"16722944\"]\n  20 [size=\"16893440\", alpha=\"0.05\", expect_size=\"6757376\"] \n  20 -> 21 [size =\"6757376\"]\n  21 [size=\"70292480\", alpha=\"0.01\", expect_size=\"28116992\"] \n  21 -> 22 [size =\"28116992\"]\n  22 [size=\"87385600\", alpha=\"0.16\", expect_size=\"34954240\"] \n  22 -> 23 [size =\"34954240\"]\n  23 [size=\"63943680\", alpha=\"0.15\", expect_size=\"25577472\"] \n  23 -> 24 [size =\"25577472\"]\n  24 [size=\"22993920\", alpha=\"0.06\", expect_size=\"9197568\"] \n  24 -> 25 [size =\"9197568\"]\n  25 [size=\"128698880\", alpha=\"0.19\", expect_size=\"51479552\"] \n  25 -> 26 [size =\"51479552\"]\n  26 [size=\"101396480\", alpha=\"0.03\", expect_size=\"40558592\"] \n  26 -> 27 [size =\"40558592\"]\n  27 [size=\"130078720\", alpha=\"0.06\", expect_size=\"52031488\"] \n  27 -> 28 [size =\"52031488\"]\n  28 [size=\"43806720\", alpha=\"0.14\", expect_size=\"17522688\"] \n  28 -> 29 [size =\"17522688\"]\n  29 [size=\"106048000\", alpha=\"0.12\", expect_size=\"42419200\"] \n  29 -> 30 [size =\"42419200\"]\n  30 [size=\"77304320\", alpha=\"0.08\", expect_size=\"30921728\"] \n  30 -> 31 [size =\"30921728\"]\n  31 [size=\"107960320\", alpha=\"0.09\", expect_size=\"43184128\"] \n  31 -> 32 [size =\"43184128\"]\n  32 [size=\"114575360\", alpha=\"0.07\", expect_size=\"45830144\"] \n  32 -> 33 [size =\"45830144\"]\n  33 [size=\"93601280\", alpha=\"0.08\", expect_size=\"37440512\"] \n  33 -> 34 [size =\"37440512\"]\n  34 [size=\"65587200\", alpha=\"0.05\", expect_size=\"26234880\"] \n  34 -> 35 [size =\"26234880\"]\n  35 [size=\"98580480\", alpha=\"0.13\", expect_size=\"39432192\"] \n  35 -> 36 [size =\"39432192\"]\n  36 [size=\"95621120\", alpha=\"0.14\", expect_size=\"38248448\"] \n  36 -> 37 [size =\"38248448\"]\n  37 [size=\"113745920\", alpha=\"0.14\", expect_size=\"45498368\"] \n  37 -> 38 [size =\"45498368\"]\n  38 [size=\"31170560\", alpha=\"0.07\", expect_size=\"12468224\"] \n  38 -> 39 [size =\"12468224\"]\n  39 [size=\"111687680\", alpha=\"0.05\", expect_size=\"44675072\"] \n  39 -> 40 [size =\"44675072\"]\n  40 [size=\"67397120\", alpha=\"0.03\", expect_size=\"26958848\"] \n  40 -> 41 [size =\"26958848\"]\n  41 [size=\"113589760\", alpha=\"0.11\", expect_size=\"45435904\"] \n  41 -> 42 [size =\"45435904\"]\n  42 [size=\"47462400\", alpha=\"0.11\", expect_size=\"18984960\"] \n  42 -> 43 [size =\"18984960\"]\n  43 [size=\"85870080\", alpha=\"0.00\", expect_size=\"34348032\"] \n  43 -> 44 [size =\"34348032\"]\n  44 [size=\"130539520\", alpha=\"0.11\", expect_size=\"52215808\"] \n  44 -> 45 [size =\"52215808\"]\n  45 [size=\"44528640\", alpha=\"0.01\", expect_size=\"17811456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72019968\", alpha=\"0.01\", expect_size=\"36009984\"] \n  1 -> 8 [size =\"36009984\"]\n  1 -> 14 [size =\"36009984\"]\n  1 -> 16 [size =\"36009984\"]\n  1 -> 20 [size =\"36009984\"]\n  2 [size=\"71299072\", alpha=\"0.16\", expect_size=\"35649536\"] \n  2 -> 8 [size =\"35649536\"]\n  2 -> 12 [size =\"35649536\"]\n  2 -> 15 [size =\"35649536\"]\n  2 -> 17 [size =\"35649536\"]\n  2 -> 20 [size =\"35649536\"]\n  3 [size=\"101179392\", alpha=\"0.16\", expect_size=\"50589696\"] \n  3 -> 13 [size =\"50589696\"]\n  3 -> 17 [size =\"50589696\"]\n  3 -> 19 [size =\"50589696\"]\n  3 -> 20 [size =\"50589696\"]\n  4 [size=\"38189056\", alpha=\"0.19\", expect_size=\"19094528\"] \n  4 -> 9 [size =\"19094528\"]\n  4 -> 11 [size =\"19094528\"]\n  5 [size=\"54368256\", alpha=\"0.07\", expect_size=\"27184128\"] \n  5 -> 8 [size =\"27184128\"]\n  5 -> 11 [size =\"27184128\"]\n  5 -> 15 [size =\"27184128\"]\n  5 -> 19 [size =\"27184128\"]\n  5 -> 20 [size =\"27184128\"]\n  6 [size=\"66641920\", alpha=\"0.06\", expect_size=\"33320960\"] \n  6 -> 14 [size =\"33320960\"]\n  6 -> 18 [size =\"33320960\"]\n  6 -> 21 [size =\"33320960\"]\n  7 [size=\"34076672\", alpha=\"0.07\", expect_size=\"17038336\"] \n  7 -> 8 [size =\"17038336\"]\n  7 -> 9 [size =\"17038336\"]\n  7 -> 10 [size =\"17038336\"]\n  7 -> 11 [size =\"17038336\"]\n  7 -> 14 [size =\"17038336\"]\n  7 -> 17 [size =\"17038336\"]\n  7 -> 19 [size =\"17038336\"]\n  7 -> 21 [size =\"17038336\"]\n  8 [size=\"53360640\", alpha=\"0.10\", expect_size=\"26680320\"] \n  8 -> 22 [size =\"26680320\"]\n  8 -> 29 [size =\"26680320\"]\n  8 -> 35 [size =\"26680320\"]\n  9 [size=\"70377472\", alpha=\"0.17\", expect_size=\"35188736\"] \n  9 -> 23 [size =\"35188736\"]\n  9 -> 24 [size =\"35188736\"]\n  9 -> 27 [size =\"35188736\"]\n  9 -> 28 [size =\"35188736\"]\n  9 -> 30 [size =\"35188736\"]\n  9 -> 33 [size =\"35188736\"]\n  10 [size=\"74672128\", alpha=\"0.08\", expect_size=\"37336064\"] \n  10 -> 23 [size =\"37336064\"]\n  10 -> 25 [size =\"37336064\"]\n  11 [size=\"33978368\", alpha=\"0.00\", expect_size=\"16989184\"] \n  11 -> 28 [size =\"16989184\"]\n  12 [size=\"39966720\", alpha=\"0.07\", expect_size=\"19983360\"] \n  12 -> 23 [size =\"19983360\"]\n  12 -> 30 [size =\"19983360\"]\n  12 -> 34 [size =\"19983360\"]\n  13 [size=\"18937856\", alpha=\"0.20\", expect_size=\"9468928\"] \n  13 -> 24 [size =\"9468928\"]\n  13 -> 26 [size =\"9468928\"]\n  13 -> 28 [size =\"9468928\"]\n  13 -> 29 [size =\"9468928\"]\n  13 -> 32 [size =\"9468928\"]\n  13 -> 33 [size =\"9468928\"]\n  14 [size=\"96065536\", alpha=\"0.20\", expect_size=\"48032768\"] \n  14 -> 22 [size =\"48032768\"]\n  14 -> 33 [size =\"48032768\"]\n  14 -> 34 [size =\"48032768\"]\n  15 [size=\"91281408\", alpha=\"0.04\", expect_size=\"45640704\"] \n  15 -> 22 [size =\"45640704\"]\n  15 -> 23 [size =\"45640704\"]\n  15 -> 27 [size =\"45640704\"]\n  15 -> 28 [size =\"45640704\"]\n  16 [size=\"30187520\", alpha=\"0.01\", expect_size=\"15093760\"] \n  16 -> 24 [size =\"15093760\"]\n  16 -> 28 [size =\"15093760\"]\n  16 -> 30 [size =\"15093760\"]\n  16 -> 31 [size =\"15093760\"]\n  17 [size=\"59060224\", alpha=\"0.14\", expect_size=\"29530112\"] \n  17 -> 24 [size =\"29530112\"]\n  17 -> 31 [size =\"29530112\"]\n  17 -> 35 [size =\"29530112\"]\n  18 [size=\"92418048\", alpha=\"0.04\", expect_size=\"46209024\"] \n  18 -> 22 [size =\"46209024\"]\n  18 -> 24 [size =\"46209024\"]\n  18 -> 28 [size =\"46209024\"]\n  18 -> 31 [size =\"46209024\"]\n  18 -> 32 [size =\"46209024\"]\n  19 [size=\"47419392\", alpha=\"0.13\", expect_size=\"23709696\"] \n  19 -> 22 [size =\"23709696\"]\n  19 -> 25 [size =\"23709696\"]\n  19 -> 30 [size =\"23709696\"]\n  19 -> 31 [size =\"23709696\"]\n  19 -> 32 [size =\"23709696\"]\n  19 -> 34 [size =\"23709696\"]\n  20 [size=\"32061440\", alpha=\"0.12\", expect_size=\"16030720\"] \n  20 -> 26 [size =\"16030720\"]\n  20 -> 27 [size =\"16030720\"]\n  20 -> 31 [size =\"16030720\"]\n  20 -> 32 [size =\"16030720\"]\n  21 [size=\"69007360\", alpha=\"0.03\", expect_size=\"34503680\"] \n  21 -> 23 [size =\"34503680\"]\n  21 -> 27 [size =\"34503680\"]\n  21 -> 31 [size =\"34503680\"]\n  21 -> 32 [size =\"34503680\"]\n  22 [size=\"70481920\", alpha=\"0.08\", expect_size=\"35240960\"] \n  22 -> 37 [size =\"35240960\"]\n  22 -> 41 [size =\"35240960\"]\n  22 -> 44 [size =\"35240960\"]\n  23 [size=\"104720384\", alpha=\"0.12\", expect_size=\"52360192\"] \n  23 -> 36 [size =\"52360192\"]\n  24 [size=\"103915520\", alpha=\"0.02\", expect_size=\"51957760\"] \n  24 -> 37 [size =\"51957760\"]\n  24 -> 39 [size =\"51957760\"]\n  24 -> 45 [size =\"51957760\"]\n  25 [size=\"103174144\", alpha=\"0.01\", expect_size=\"51587072\"] \n  25 -> 37 [size =\"51587072\"]\n  25 -> 38 [size =\"51587072\"]\n  25 -> 40 [size =\"51587072\"]\n  25 -> 42 [size =\"51587072\"]\n  26 [size=\"27416576\", alpha=\"0.11\", expect_size=\"13708288\"] \n  26 -> 40 [size =\"13708288\"]\n  27 [size=\"31703040\", alpha=\"0.07\", expect_size=\"15851520\"] \n  27 -> 36 [size =\"15851520\"]\n  27 -> 40 [size =\"15851520\"]\n  27 -> 45 [size =\"15851520\"]\n  28 [size=\"96743424\", alpha=\"0.12\", expect_size=\"48371712\"] \n  28 -> 36 [size =\"48371712\"]\n  28 -> 42 [size =\"48371712\"]\n  28 -> 43 [size =\"48371712\"]\n  29 [size=\"22042624\", alpha=\"0.10\", expect_size=\"11021312\"] \n  29 -> 36 [size =\"11021312\"]\n  29 -> 37 [size =\"11021312\"]\n  29 -> 38 [size =\"11021312\"]\n  29 -> 39 [size =\"11021312\"]\n  30 [size=\"82415616\", alpha=\"0.01\", expect_size=\"41207808\"] \n  30 -> 36 [size =\"41207808\"]\n  30 -> 37 [size =\"41207808\"]\n  31 [size=\"42360832\", alpha=\"0.18\", expect_size=\"21180416\"] \n  31 -> 37 [size =\"21180416\"]\n  32 [size=\"57782272\", alpha=\"0.00\", expect_size=\"28891136\"] \n  32 -> 40 [size =\"28891136\"]\n  32 -> 45 [size =\"28891136\"]\n  33 [size=\"95125504\", alpha=\"0.05\", expect_size=\"47562752\"] \n  33 -> 36 [size =\"47562752\"]\n  33 -> 40 [size =\"47562752\"]\n  33 -> 42 [size =\"47562752\"]\n  33 -> 45 [size =\"47562752\"]\n  34 [size=\"56342528\", alpha=\"0.07\", expect_size=\"28171264\"] \n  34 -> 36 [size =\"28171264\"]\n  34 -> 41 [size =\"28171264\"]\n  34 -> 45 [size =\"28171264\"]\n  35 [size=\"63504384\", alpha=\"0.07\", expect_size=\"31752192\"] \n  35 -> 37 [size =\"31752192\"]\n  35 -> 38 [size =\"31752192\"]\n  35 -> 40 [size =\"31752192\"]\n  35 -> 41 [size =\"31752192\"]\n  35 -> 45 [size =\"31752192\"]\n  36 [size=\"66125824\", alpha=\"0.11\", expect_size=\"33062912\"] \n  37 [size=\"25993216\", alpha=\"0.05\", expect_size=\"12996608\"] \n  38 [size=\"61067264\", alpha=\"0.16\", expect_size=\"30533632\"] \n  39 [size=\"25483264\", alpha=\"0.15\", expect_size=\"12741632\"] \n  40 [size=\"73502720\", alpha=\"0.19\", expect_size=\"36751360\"] \n  41 [size=\"80570368\", alpha=\"0.15\", expect_size=\"40285184\"] \n  42 [size=\"70178816\", alpha=\"0.04\", expect_size=\"35089408\"] \n  43 [size=\"71813120\", alpha=\"0.13\", expect_size=\"35906560\"] \n  44 [size=\"93925376\", alpha=\"0.02\", expect_size=\"46962688\"] \n  45 [size=\"33353728\", alpha=\"0.10\", expect_size=\"16676864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124264960\", alpha=\"0.19\", expect_size=\"49705984\"] \n  2 [size=\"26680320\", alpha=\"0.10\", expect_size=\"10672128\"] \n  2 -> 7 [size =\"10672128\"]\n  2 -> 8 [size =\"10672128\"]\n  2 -> 9 [size =\"10672128\"]\n  2 -> 10 [size =\"10672128\"]\n  3 [size=\"114918400\", alpha=\"0.05\", expect_size=\"45967360\"] \n  3 -> 8 [size =\"45967360\"]\n  3 -> 10 [size =\"45967360\"]\n  4 [size=\"99568640\", alpha=\"0.20\", expect_size=\"39827456\"] \n  4 -> 7 [size =\"39827456\"]\n  4 -> 8 [size =\"39827456\"]\n  5 [size=\"120161280\", alpha=\"0.18\", expect_size=\"48064512\"] \n  5 -> 7 [size =\"48064512\"]\n  5 -> 9 [size =\"48064512\"]\n  6 [size=\"108060160\", alpha=\"0.19\", expect_size=\"43224064\"] \n  6 -> 7 [size =\"43224064\"]\n  6 -> 11 [size =\"43224064\"]\n  7 [size=\"60935680\", alpha=\"0.11\", expect_size=\"24374272\"] \n  7 -> 12 [size =\"24374272\"]\n  7 -> 14 [size =\"24374272\"]\n  7 -> 15 [size =\"24374272\"]\n  7 -> 17 [size =\"24374272\"]\n  8 [size=\"20119040\", alpha=\"0.18\", expect_size=\"8047616\"] \n  8 -> 12 [size =\"8047616\"]\n  8 -> 14 [size =\"8047616\"]\n  9 [size=\"97758720\", alpha=\"0.18\", expect_size=\"39103488\"] \n  9 -> 13 [size =\"39103488\"]\n  9 -> 17 [size =\"39103488\"]\n  10 [size=\"46346240\", alpha=\"0.03\", expect_size=\"18538496\"] \n  10 -> 12 [size =\"18538496\"]\n  10 -> 14 [size =\"18538496\"]\n  10 -> 16 [size =\"18538496\"]\n  10 -> 17 [size =\"18538496\"]\n  11 [size=\"100175360\", alpha=\"0.02\", expect_size=\"40070144\"] \n  11 -> 14 [size =\"40070144\"]\n  12 [size=\"94302720\", alpha=\"0.20\", expect_size=\"37721088\"] \n  12 -> 19 [size =\"37721088\"]\n  12 -> 23 [size =\"37721088\"]\n  13 [size=\"33103360\", alpha=\"0.16\", expect_size=\"13241344\"] \n  13 -> 21 [size =\"13241344\"]\n  13 -> 22 [size =\"13241344\"]\n  13 -> 23 [size =\"13241344\"]\n  14 [size=\"60277760\", alpha=\"0.05\", expect_size=\"24111104\"] \n  14 -> 18 [size =\"24111104\"]\n  14 -> 22 [size =\"24111104\"]\n  14 -> 23 [size =\"24111104\"]\n  15 [size=\"58964480\", alpha=\"0.17\", expect_size=\"23585792\"] \n  15 -> 19 [size =\"23585792\"]\n  15 -> 22 [size =\"23585792\"]\n  15 -> 23 [size =\"23585792\"]\n  16 [size=\"44922880\", alpha=\"0.16\", expect_size=\"17969152\"] \n  16 -> 19 [size =\"17969152\"]\n  16 -> 20 [size =\"17969152\"]\n  16 -> 22 [size =\"17969152\"]\n  17 [size=\"36953600\", alpha=\"0.02\", expect_size=\"14781440\"] \n  17 -> 19 [size =\"14781440\"]\n  18 [size=\"101949440\", alpha=\"0.03\", expect_size=\"40779776\"] \n  18 -> 25 [size =\"40779776\"]\n  18 -> 26 [size =\"40779776\"]\n  19 [size=\"87738880\", alpha=\"0.18\", expect_size=\"35095552\"] \n  19 -> 25 [size =\"35095552\"]\n  19 -> 26 [size =\"35095552\"]\n  20 [size=\"75586560\", alpha=\"0.19\", expect_size=\"30234624\"] \n  20 -> 24 [size =\"30234624\"]\n  20 -> 26 [size =\"30234624\"]\n  20 -> 27 [size =\"30234624\"]\n  20 -> 28 [size =\"30234624\"]\n  21 [size=\"90698240\", alpha=\"0.19\", expect_size=\"36279296\"] \n  21 -> 24 [size =\"36279296\"]\n  21 -> 25 [size =\"36279296\"]\n  21 -> 27 [size =\"36279296\"]\n  21 -> 28 [size =\"36279296\"]\n  22 [size=\"102950400\", alpha=\"0.02\", expect_size=\"41180160\"] \n  22 -> 26 [size =\"41180160\"]\n  22 -> 28 [size =\"41180160\"]\n  23 [size=\"102456320\", alpha=\"0.01\", expect_size=\"40982528\"] \n  23 -> 25 [size =\"40982528\"]\n  23 -> 27 [size =\"40982528\"]\n  23 -> 28 [size =\"40982528\"]\n  24 [size=\"80949760\", alpha=\"0.15\", expect_size=\"32379904\"] \n  24 -> 29 [size =\"32379904\"]\n  24 -> 31 [size =\"32379904\"]\n  24 -> 33 [size =\"32379904\"]\n  25 [size=\"107924480\", alpha=\"0.07\", expect_size=\"43169792\"] \n  25 -> 29 [size =\"43169792\"]\n  25 -> 33 [size =\"43169792\"]\n  26 [size=\"93166080\", alpha=\"0.16\", expect_size=\"37266432\"] \n  26 -> 30 [size =\"37266432\"]\n  26 -> 32 [size =\"37266432\"]\n  26 -> 34 [size =\"37266432\"]\n  27 [size=\"66795520\", alpha=\"0.12\", expect_size=\"26718208\"] \n  27 -> 31 [size =\"26718208\"]\n  27 -> 32 [size =\"26718208\"]\n  27 -> 34 [size =\"26718208\"]\n  28 [size=\"76528640\", alpha=\"0.10\", expect_size=\"30611456\"] \n  28 -> 29 [size =\"30611456\"]\n  28 -> 32 [size =\"30611456\"]\n  28 -> 33 [size =\"30611456\"]\n  29 [size=\"93990400\", alpha=\"0.02\", expect_size=\"37596160\"] \n  29 -> 35 [size =\"37596160\"]\n  29 -> 36 [size =\"37596160\"]\n  29 -> 37 [size =\"37596160\"]\n  30 [size=\"84485120\", alpha=\"0.20\", expect_size=\"33794048\"] \n  30 -> 39 [size =\"33794048\"]\n  31 [size=\"81254400\", alpha=\"0.12\", expect_size=\"32501760\"] \n  31 -> 35 [size =\"32501760\"]\n  31 -> 37 [size =\"32501760\"]\n  31 -> 38 [size =\"32501760\"]\n  32 [size=\"77491200\", alpha=\"0.18\", expect_size=\"30996480\"] \n  32 -> 39 [size =\"30996480\"]\n  33 [size=\"86768640\", alpha=\"0.08\", expect_size=\"34707456\"] \n  33 -> 37 [size =\"34707456\"]\n  33 -> 39 [size =\"34707456\"]\n  34 [size=\"92938240\", alpha=\"0.06\", expect_size=\"37175296\"] \n  34 -> 37 [size =\"37175296\"]\n  34 -> 39 [size =\"37175296\"]\n  35 [size=\"64494080\", alpha=\"0.11\", expect_size=\"25797632\"] \n  35 -> 40 [size =\"25797632\"]\n  35 -> 41 [size =\"25797632\"]\n  35 -> 42 [size =\"25797632\"]\n  36 [size=\"108492800\", alpha=\"0.02\", expect_size=\"43397120\"] \n  36 -> 40 [size =\"43397120\"]\n  36 -> 41 [size =\"43397120\"]\n  37 [size=\"83960320\", alpha=\"0.16\", expect_size=\"33584128\"] \n  37 -> 40 [size =\"33584128\"]\n  37 -> 41 [size =\"33584128\"]\n  37 -> 42 [size =\"33584128\"]\n  37 -> 44 [size =\"33584128\"]\n  38 [size=\"38722560\", alpha=\"0.06\", expect_size=\"15489024\"] \n  38 -> 40 [size =\"15489024\"]\n  38 -> 42 [size =\"15489024\"]\n  38 -> 43 [size =\"15489024\"]\n  39 [size=\"97761280\", alpha=\"0.09\", expect_size=\"39104512\"] \n  39 -> 43 [size =\"39104512\"]\n  40 [size=\"109800960\", alpha=\"0.02\", expect_size=\"43920384\"] \n  41 [size=\"108080640\", alpha=\"0.08\", expect_size=\"43232256\"] \n  41 -> 45 [size =\"43232256\"]\n  42 [size=\"61703680\", alpha=\"0.10\", expect_size=\"24681472\"] \n  42 -> 45 [size =\"24681472\"]\n  43 [size=\"51873280\", alpha=\"0.06\", expect_size=\"20749312\"] \n  44 [size=\"98580480\", alpha=\"0.14\", expect_size=\"39432192\"] \n  45 [size=\"131038720\", alpha=\"0.19\", expect_size=\"52415488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64294912\", alpha=\"0.20\", expect_size=\"32147456\"] \n  1 -> 10 [size =\"32147456\"]\n  2 [size=\"36663296\", alpha=\"0.10\", expect_size=\"18331648\"] \n  2 -> 10 [size =\"18331648\"]\n  2 -> 11 [size =\"18331648\"]\n  3 [size=\"54689792\", alpha=\"0.04\", expect_size=\"27344896\"] \n  4 [size=\"82552832\", alpha=\"0.15\", expect_size=\"41276416\"] \n  4 -> 10 [size =\"41276416\"]\n  5 [size=\"70813696\", alpha=\"0.11\", expect_size=\"35406848\"] \n  6 [size=\"69945344\", alpha=\"0.07\", expect_size=\"34972672\"] \n  6 -> 10 [size =\"34972672\"]\n  7 [size=\"91668480\", alpha=\"0.10\", expect_size=\"45834240\"] \n  7 -> 9 [size =\"45834240\"]\n  8 [size=\"28299264\", alpha=\"0.10\", expect_size=\"14149632\"] \n  8 -> 10 [size =\"14149632\"]\n  9 [size=\"43110400\", alpha=\"0.07\", expect_size=\"21555200\"] \n  9 -> 12 [size =\"21555200\"]\n  9 -> 13 [size =\"21555200\"]\n  9 -> 15 [size =\"21555200\"]\n  10 [size=\"32569344\", alpha=\"0.07\", expect_size=\"16284672\"] \n  10 -> 12 [size =\"16284672\"]\n  10 -> 13 [size =\"16284672\"]\n  10 -> 17 [size =\"16284672\"]\n  10 -> 18 [size =\"16284672\"]\n  11 [size=\"16019456\", alpha=\"0.19\", expect_size=\"8009728\"] \n  11 -> 14 [size =\"8009728\"]\n  11 -> 16 [size =\"8009728\"]\n  11 -> 18 [size =\"8009728\"]\n  12 [size=\"15931392\", alpha=\"0.18\", expect_size=\"7965696\"] \n  12 -> 21 [size =\"7965696\"]\n  12 -> 22 [size =\"7965696\"]\n  12 -> 23 [size =\"7965696\"]\n  12 -> 24 [size =\"7965696\"]\n  12 -> 25 [size =\"7965696\"]\n  13 [size=\"63199232\", alpha=\"0.13\", expect_size=\"31599616\"] \n  13 -> 20 [size =\"31599616\"]\n  13 -> 25 [size =\"31599616\"]\n  14 [size=\"81295360\", alpha=\"0.16\", expect_size=\"40647680\"] \n  14 -> 20 [size =\"40647680\"]\n  14 -> 21 [size =\"40647680\"]\n  15 [size=\"57032704\", alpha=\"0.07\", expect_size=\"28516352\"] \n  15 -> 20 [size =\"28516352\"]\n  15 -> 21 [size =\"28516352\"]\n  15 -> 22 [size =\"28516352\"]\n  16 [size=\"15693824\", alpha=\"0.02\", expect_size=\"7846912\"] \n  16 -> 25 [size =\"7846912\"]\n  16 -> 26 [size =\"7846912\"]\n  17 [size=\"50853888\", alpha=\"0.18\", expect_size=\"25426944\"] \n  17 -> 21 [size =\"25426944\"]\n  18 [size=\"98617344\", alpha=\"0.04\", expect_size=\"49308672\"] \n  18 -> 19 [size =\"49308672\"]\n  18 -> 22 [size =\"49308672\"]\n  18 -> 25 [size =\"49308672\"]\n  18 -> 26 [size =\"49308672\"]\n  19 [size=\"50063360\", alpha=\"0.06\", expect_size=\"25031680\"] \n  19 -> 28 [size =\"25031680\"]\n  19 -> 29 [size =\"25031680\"]\n  19 -> 31 [size =\"25031680\"]\n  19 -> 34 [size =\"25031680\"]\n  20 [size=\"81698816\", alpha=\"0.07\", expect_size=\"40849408\"] \n  20 -> 27 [size =\"40849408\"]\n  20 -> 31 [size =\"40849408\"]\n  20 -> 32 [size =\"40849408\"]\n  20 -> 33 [size =\"40849408\"]\n  20 -> 34 [size =\"40849408\"]\n  21 [size=\"19732480\", alpha=\"0.00\", expect_size=\"9866240\"] \n  21 -> 27 [size =\"9866240\"]\n  21 -> 31 [size =\"9866240\"]\n  22 [size=\"15966208\", alpha=\"0.19\", expect_size=\"7983104\"] \n  22 -> 27 [size =\"7983104\"]\n  22 -> 28 [size =\"7983104\"]\n  22 -> 32 [size =\"7983104\"]\n  23 [size=\"99360768\", alpha=\"0.07\", expect_size=\"49680384\"] \n  23 -> 27 [size =\"49680384\"]\n  23 -> 30 [size =\"49680384\"]\n  23 -> 33 [size =\"49680384\"]\n  24 [size=\"68497408\", alpha=\"0.10\", expect_size=\"34248704\"] \n  24 -> 30 [size =\"34248704\"]\n  24 -> 31 [size =\"34248704\"]\n  24 -> 32 [size =\"34248704\"]\n  24 -> 33 [size =\"34248704\"]\n  24 -> 34 [size =\"34248704\"]\n  25 [size=\"49661952\", alpha=\"0.06\", expect_size=\"24830976\"] \n  25 -> 31 [size =\"24830976\"]\n  25 -> 32 [size =\"24830976\"]\n  25 -> 33 [size =\"24830976\"]\n  26 [size=\"80412672\", alpha=\"0.15\", expect_size=\"40206336\"] \n  26 -> 32 [size =\"40206336\"]\n  26 -> 33 [size =\"40206336\"]\n  26 -> 34 [size =\"40206336\"]\n  27 [size=\"89937920\", alpha=\"0.00\", expect_size=\"44968960\"] \n  27 -> 36 [size =\"44968960\"]\n  28 [size=\"81446912\", alpha=\"0.10\", expect_size=\"40723456\"] \n  28 -> 36 [size =\"40723456\"]\n  28 -> 37 [size =\"40723456\"]\n  29 [size=\"101840896\", alpha=\"0.06\", expect_size=\"50920448\"] \n  30 [size=\"34627584\", alpha=\"0.08\", expect_size=\"17313792\"] \n  30 -> 36 [size =\"17313792\"]\n  31 [size=\"69332992\", alpha=\"0.10\", expect_size=\"34666496\"] \n  31 -> 36 [size =\"34666496\"]\n  32 [size=\"71022592\", alpha=\"0.13\", expect_size=\"35511296\"] \n  32 -> 35 [size =\"35511296\"]\n  33 [size=\"65875968\", alpha=\"0.08\", expect_size=\"32937984\"] \n  33 -> 36 [size =\"32937984\"]\n  33 -> 37 [size =\"32937984\"]\n  34 [size=\"98095104\", alpha=\"0.18\", expect_size=\"49047552\"] \n  34 -> 35 [size =\"49047552\"]\n  35 [size=\"51005440\", alpha=\"0.17\", expect_size=\"25502720\"] \n  35 -> 38 [size =\"25502720\"]\n  35 -> 40 [size =\"25502720\"]\n  36 [size=\"79308800\", alpha=\"0.18\", expect_size=\"39654400\"] \n  36 -> 39 [size =\"39654400\"]\n  37 [size=\"53721088\", alpha=\"0.07\", expect_size=\"26860544\"] \n  37 -> 38 [size =\"26860544\"]\n  37 -> 39 [size =\"26860544\"]\n  38 [size=\"55427072\", alpha=\"0.15\", expect_size=\"27713536\"] \n  38 -> 45 [size =\"27713536\"]\n  39 [size=\"102240256\", alpha=\"0.11\", expect_size=\"51120128\"] \n  39 -> 42 [size =\"51120128\"]\n  39 -> 43 [size =\"51120128\"]\n  40 [size=\"38043648\", alpha=\"0.02\", expect_size=\"19021824\"] \n  40 -> 41 [size =\"19021824\"]\n  40 -> 43 [size =\"19021824\"]\n  40 -> 44 [size =\"19021824\"]\n  41 [size=\"73662464\", alpha=\"0.16\", expect_size=\"36831232\"] \n  42 [size=\"25890816\", alpha=\"0.10\", expect_size=\"12945408\"] \n  43 [size=\"88918016\", alpha=\"0.04\", expect_size=\"44459008\"] \n  44 [size=\"32342016\", alpha=\"0.09\", expect_size=\"16171008\"] \n  45 [size=\"21344256\", alpha=\"0.03\", expect_size=\"10672128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135509333\", alpha=\"0.04\", expect_size=\"40652800\"] \n  1 -> 13 [size =\"40652800\"]\n  1 -> 14 [size =\"40652800\"]\n  1 -> 15 [size =\"40652800\"]\n  1 -> 16 [size =\"40652800\"]\n  1 -> 17 [size =\"40652800\"]\n  1 -> 18 [size =\"40652800\"]\n  1 -> 19 [size =\"40652800\"]\n  1 -> 22 [size =\"40652800\"]\n  1 -> 24 [size =\"40652800\"]\n  2 [size=\"81578667\", alpha=\"0.06\", expect_size=\"24473600\"] \n  2 -> 12 [size =\"24473600\"]\n  2 -> 14 [size =\"24473600\"]\n  2 -> 15 [size =\"24473600\"]\n  2 -> 18 [size =\"24473600\"]\n  2 -> 22 [size =\"24473600\"]\n  2 -> 23 [size =\"24473600\"]\n  2 -> 24 [size =\"24473600\"]\n  3 [size=\"97600853\", alpha=\"0.04\", expect_size=\"29280256\"] \n  3 -> 12 [size =\"29280256\"]\n  3 -> 13 [size =\"29280256\"]\n  3 -> 15 [size =\"29280256\"]\n  3 -> 16 [size =\"29280256\"]\n  3 -> 19 [size =\"29280256\"]\n  3 -> 20 [size =\"29280256\"]\n  3 -> 24 [size =\"29280256\"]\n  4 [size=\"110923093\", alpha=\"0.04\", expect_size=\"33276928\"] \n  4 -> 13 [size =\"33276928\"]\n  4 -> 13 [size =\"33276928\"]\n  4 -> 16 [size =\"33276928\"]\n  4 -> 24 [size =\"33276928\"]\n  5 [size=\"24180053\", alpha=\"0.10\", expect_size=\"7254016\"] \n  5 -> 12 [size =\"7254016\"]\n  5 -> 14 [size =\"7254016\"]\n  5 -> 15 [size =\"7254016\"]\n  5 -> 17 [size =\"7254016\"]\n  5 -> 21 [size =\"7254016\"]\n  5 -> 24 [size =\"7254016\"]\n  6 [size=\"25630720\", alpha=\"0.12\", expect_size=\"7689216\"] \n  6 -> 12 [size =\"7689216\"]\n  6 -> 15 [size =\"7689216\"]\n  6 -> 18 [size =\"7689216\"]\n  6 -> 22 [size =\"7689216\"]\n  7 [size=\"88251733\", alpha=\"0.14\", expect_size=\"26475520\"] \n  7 -> 14 [size =\"26475520\"]\n  7 -> 15 [size =\"26475520\"]\n  7 -> 18 [size =\"26475520\"]\n  7 -> 19 [size =\"26475520\"]\n  7 -> 22 [size =\"26475520\"]\n  8 [size=\"144902827\", alpha=\"0.04\", expect_size=\"43470848\"] \n  8 -> 13 [size =\"43470848\"]\n  8 -> 14 [size =\"43470848\"]\n  8 -> 20 [size =\"43470848\"]\n  8 -> 23 [size =\"43470848\"]\n  8 -> 24 [size =\"43470848\"]\n  9 [size=\"122251947\", alpha=\"0.10\", expect_size=\"36675584\"] \n  9 -> 13 [size =\"36675584\"]\n  9 -> 16 [size =\"36675584\"]\n  9 -> 20 [size =\"36675584\"]\n  9 -> 23 [size =\"36675584\"]\n  9 -> 24 [size =\"36675584\"]\n  10 [size=\"152343893\", alpha=\"0.18\", expect_size=\"45703168\"] \n  10 -> 13 [size =\"45703168\"]\n  10 -> 17 [size =\"45703168\"]\n  10 -> 18 [size =\"45703168\"]\n  10 -> 19 [size =\"45703168\"]\n  10 -> 20 [size =\"45703168\"]\n  10 -> 23 [size =\"45703168\"]\n  11 [size=\"149862400\", alpha=\"0.16\", expect_size=\"44958720\"] \n  11 -> 13 [size =\"44958720\"]\n  11 -> 16 [size =\"44958720\"]\n  11 -> 23 [size =\"44958720\"]\n  11 -> 24 [size =\"44958720\"]\n  12 [size=\"27729920\", alpha=\"0.20\", expect_size=\"8318976\"] \n  12 -> 28 [size =\"8318976\"]\n  12 -> 29 [size =\"8318976\"]\n  12 -> 30 [size =\"8318976\"]\n  12 -> 32 [size =\"8318976\"]\n  12 -> 34 [size =\"8318976\"]\n  12 -> 35 [size =\"8318976\"]\n  13 [size=\"71478613\", alpha=\"0.12\", expect_size=\"21443584\"] \n  13 -> 27 [size =\"21443584\"]\n  13 -> 29 [size =\"21443584\"]\n  13 -> 30 [size =\"21443584\"]\n  13 -> 32 [size =\"21443584\"]\n  13 -> 33 [size =\"21443584\"]\n  13 -> 34 [size =\"21443584\"]\n  13 -> 35 [size =\"21443584\"]\n  14 [size=\"105598293\", alpha=\"0.01\", expect_size=\"31679488\"] \n  14 -> 26 [size =\"31679488\"]\n  14 -> 27 [size =\"31679488\"]\n  14 -> 28 [size =\"31679488\"]\n  14 -> 29 [size =\"31679488\"]\n  14 -> 30 [size =\"31679488\"]\n  14 -> 32 [size =\"31679488\"]\n  14 -> 34 [size =\"31679488\"]\n  15 [size=\"136680107\", alpha=\"0.06\", expect_size=\"41004032\"] \n  15 -> 25 [size =\"41004032\"]\n  15 -> 27 [size =\"41004032\"]\n  15 -> 28 [size =\"41004032\"]\n  15 -> 29 [size =\"41004032\"]\n  15 -> 30 [size =\"41004032\"]\n  15 -> 32 [size =\"41004032\"]\n  15 -> 33 [size =\"41004032\"]\n  15 -> 34 [size =\"41004032\"]\n  15 -> 35 [size =\"41004032\"]\n  16 [size=\"58221227\", alpha=\"0.02\", expect_size=\"17466368\"] \n  16 -> 26 [size =\"17466368\"]\n  16 -> 29 [size =\"17466368\"]\n  16 -> 30 [size =\"17466368\"]\n  16 -> 31 [size =\"17466368\"]\n  16 -> 32 [size =\"17466368\"]\n  16 -> 32 [size =\"17466368\"]\n  16 -> 33 [size =\"17466368\"]\n  16 -> 34 [size =\"17466368\"]\n  17 [size=\"155572907\", alpha=\"0.19\", expect_size=\"46671872\"] \n  17 -> 25 [size =\"46671872\"]\n  17 -> 28 [size =\"46671872\"]\n  17 -> 30 [size =\"46671872\"]\n  17 -> 33 [size =\"46671872\"]\n  18 [size=\"111015253\", alpha=\"0.14\", expect_size=\"33304576\"] \n  18 -> 25 [size =\"33304576\"]\n  18 -> 27 [size =\"33304576\"]\n  18 -> 28 [size =\"33304576\"]\n  18 -> 30 [size =\"33304576\"]\n  18 -> 31 [size =\"33304576\"]\n  18 -> 35 [size =\"33304576\"]\n  19 [size=\"139240107\", alpha=\"0.10\", expect_size=\"41772032\"] \n  19 -> 25 [size =\"41772032\"]\n  19 -> 27 [size =\"41772032\"]\n  19 -> 32 [size =\"41772032\"]\n  19 -> 34 [size =\"41772032\"]\n  19 -> 35 [size =\"41772032\"]\n  19 -> 36 [size =\"41772032\"]\n  20 [size=\"62754133\", alpha=\"0.15\", expect_size=\"18826240\"] \n  20 -> 25 [size =\"18826240\"]\n  20 -> 26 [size =\"18826240\"]\n  20 -> 27 [size =\"18826240\"]\n  20 -> 29 [size =\"18826240\"]\n  20 -> 33 [size =\"18826240\"]\n  21 [size=\"43895467\", alpha=\"0.16\", expect_size=\"13168640\"] \n  21 -> 25 [size =\"13168640\"]\n  21 -> 28 [size =\"13168640\"]\n  21 -> 30 [size =\"13168640\"]\n  21 -> 33 [size =\"13168640\"]\n  21 -> 34 [size =\"13168640\"]\n  22 [size=\"173598720\", alpha=\"0.04\", expect_size=\"52079616\"] \n  22 -> 27 [size =\"52079616\"]\n  22 -> 29 [size =\"52079616\"]\n  22 -> 35 [size =\"52079616\"]\n  23 [size=\"173496320\", alpha=\"0.03\", expect_size=\"52048896\"] \n  23 -> 27 [size =\"52048896\"]\n  23 -> 29 [size =\"52048896\"]\n  23 -> 34 [size =\"52048896\"]\n  23 -> 35 [size =\"52048896\"]\n  24 [size=\"109455360\", alpha=\"0.14\", expect_size=\"32836608\"] \n  24 -> 28 [size =\"32836608\"]\n  24 -> 29 [size =\"32836608\"]\n  24 -> 30 [size =\"32836608\"]\n  24 -> 34 [size =\"32836608\"]\n  24 -> 35 [size =\"32836608\"]\n  25 [size=\"114988373\", alpha=\"0.05\", expect_size=\"34496512\"] \n  25 -> 37 [size =\"34496512\"]\n  25 -> 42 [size =\"34496512\"]\n  25 -> 43 [size =\"34496512\"]\n  26 [size=\"164727467\", alpha=\"0.18\", expect_size=\"49418240\"] \n  26 -> 37 [size =\"49418240\"]\n  26 -> 38 [size =\"49418240\"]\n  27 [size=\"21097813\", alpha=\"0.19\", expect_size=\"6329344\"] \n  27 -> 37 [size =\"6329344\"]\n  27 -> 41 [size =\"6329344\"]\n  27 -> 42 [size =\"6329344\"]\n  28 [size=\"169410560\", alpha=\"0.17\", expect_size=\"50823168\"] \n  28 -> 37 [size =\"50823168\"]\n  29 [size=\"122736640\", alpha=\"0.08\", expect_size=\"36820992\"] \n  29 -> 38 [size =\"36820992\"]\n  29 -> 40 [size =\"36820992\"]\n  29 -> 41 [size =\"36820992\"]\n  29 -> 43 [size =\"36820992\"]\n  29 -> 45 [size =\"36820992\"]\n  30 [size=\"43482453\", alpha=\"0.16\", expect_size=\"13044736\"] \n  30 -> 37 [size =\"13044736\"]\n  30 -> 38 [size =\"13044736\"]\n  30 -> 44 [size =\"13044736\"]\n  31 [size=\"164154027\", alpha=\"0.01\", expect_size=\"49246208\"] \n  31 -> 39 [size =\"49246208\"]\n  31 -> 41 [size =\"49246208\"]\n  31 -> 44 [size =\"49246208\"]\n  32 [size=\"130928640\", alpha=\"0.08\", expect_size=\"39278592\"] \n  32 -> 37 [size =\"39278592\"]\n  32 -> 41 [size =\"39278592\"]\n  32 -> 42 [size =\"39278592\"]\n  32 -> 43 [size =\"39278592\"]\n  33 [size=\"165191680\", alpha=\"0.01\", expect_size=\"49557504\"] \n  33 -> 41 [size =\"49557504\"]\n  33 -> 41 [size =\"49557504\"]\n  33 -> 44 [size =\"49557504\"]\n  34 [size=\"32498347\", alpha=\"0.05\", expect_size=\"9749504\"] \n  34 -> 43 [size =\"9749504\"]\n  34 -> 44 [size =\"9749504\"]\n  34 -> 45 [size =\"9749504\"]\n  35 [size=\"140871680\", alpha=\"0.05\", expect_size=\"42261504\"] \n  35 -> 37 [size =\"42261504\"]\n  35 -> 41 [size =\"42261504\"]\n  35 -> 43 [size =\"42261504\"]\n  35 -> 45 [size =\"42261504\"]\n  36 [size=\"25156267\", alpha=\"0.10\", expect_size=\"7546880\"] \n  36 -> 37 [size =\"7546880\"]\n  36 -> 38 [size =\"7546880\"]\n  36 -> 39 [size =\"7546880\"]\n  36 -> 43 [size =\"7546880\"]\n  36 -> 44 [size =\"7546880\"]\n  37 [size=\"165369173\", alpha=\"0.12\", expect_size=\"49610752\"] \n  38 [size=\"160430080\", alpha=\"0.06\", expect_size=\"48129024\"] \n  39 [size=\"137768960\", alpha=\"0.16\", expect_size=\"41330688\"] \n  40 [size=\"44871680\", alpha=\"0.12\", expect_size=\"13461504\"] \n  41 [size=\"173895680\", alpha=\"0.10\", expect_size=\"52168704\"] \n  42 [size=\"28084907\", alpha=\"0.09\", expect_size=\"8425472\"] \n  43 [size=\"89555627\", alpha=\"0.08\", expect_size=\"26866688\"] \n  44 [size=\"97733973\", alpha=\"0.18\", expect_size=\"29320192\"] \n  45 [size=\"140748800\", alpha=\"0.00\", expect_size=\"42224640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35092480\", alpha=\"0.08\", expect_size=\"14036992\"] \n  1 -> 2 [size =\"14036992\"]\n  2 [size=\"129431040\", alpha=\"0.06\", expect_size=\"51772416\"] \n  2 -> 3 [size =\"51772416\"]\n  3 [size=\"59066880\", alpha=\"0.13\", expect_size=\"23626752\"] \n  3 -> 4 [size =\"23626752\"]\n  4 [size=\"69020160\", alpha=\"0.08\", expect_size=\"27608064\"] \n  4 -> 5 [size =\"27608064\"]\n  5 [size=\"88268800\", alpha=\"0.05\", expect_size=\"35307520\"] \n  5 -> 6 [size =\"35307520\"]\n  6 [size=\"76572160\", alpha=\"0.09\", expect_size=\"30628864\"] \n  6 -> 7 [size =\"30628864\"]\n  7 [size=\"100362240\", alpha=\"0.07\", expect_size=\"40144896\"] \n  7 -> 8 [size =\"40144896\"]\n  8 [size=\"78658560\", alpha=\"0.13\", expect_size=\"31463424\"] \n  8 -> 9 [size =\"31463424\"]\n  9 [size=\"115095040\", alpha=\"0.08\", expect_size=\"46038016\"] \n  9 -> 10 [size =\"46038016\"]\n  10 [size=\"36259840\", alpha=\"0.13\", expect_size=\"14503936\"] \n  10 -> 11 [size =\"14503936\"]\n  11 [size=\"97958400\", alpha=\"0.01\", expect_size=\"39183360\"] \n  11 -> 12 [size =\"39183360\"]\n  12 [size=\"29716480\", alpha=\"0.16\", expect_size=\"11886592\"] \n  12 -> 13 [size =\"11886592\"]\n  13 [size=\"63761920\", alpha=\"0.06\", expect_size=\"25504768\"] \n  13 -> 14 [size =\"25504768\"]\n  14 [size=\"20638720\", alpha=\"0.08\", expect_size=\"8255488\"] \n  14 -> 15 [size =\"8255488\"]\n  15 [size=\"66874880\", alpha=\"0.12\", expect_size=\"26749952\"] \n  15 -> 16 [size =\"26749952\"]\n  16 [size=\"94005760\", alpha=\"0.01\", expect_size=\"37602304\"] \n  16 -> 17 [size =\"37602304\"]\n  17 [size=\"31941120\", alpha=\"0.03\", expect_size=\"12776448\"] \n  17 -> 18 [size =\"12776448\"]\n  18 [size=\"71992320\", alpha=\"0.07\", expect_size=\"28796928\"] \n  18 -> 19 [size =\"28796928\"]\n  19 [size=\"30394880\", alpha=\"0.19\", expect_size=\"12157952\"] \n  19 -> 20 [size =\"12157952\"]\n  20 [size=\"77437440\", alpha=\"0.15\", expect_size=\"30974976\"] \n  20 -> 21 [size =\"30974976\"]\n  21 [size=\"37905920\", alpha=\"0.16\", expect_size=\"15162368\"] \n  21 -> 22 [size =\"15162368\"]\n  22 [size=\"42849280\", alpha=\"0.16\", expect_size=\"17139712\"] \n  22 -> 23 [size =\"17139712\"]\n  23 [size=\"19182080\", alpha=\"0.04\", expect_size=\"7672832\"] \n  23 -> 24 [size =\"7672832\"]\n  24 [size=\"51665920\", alpha=\"0.01\", expect_size=\"20666368\"] \n  24 -> 25 [size =\"20666368\"]\n  25 [size=\"100800000\", alpha=\"0.11\", expect_size=\"40320000\"] \n  25 -> 26 [size =\"40320000\"]\n  26 [size=\"55354880\", alpha=\"0.12\", expect_size=\"22141952\"] \n  26 -> 27 [size =\"22141952\"]\n  27 [size=\"60346880\", alpha=\"0.07\", expect_size=\"24138752\"] \n  27 -> 28 [size =\"24138752\"]\n  28 [size=\"80053760\", alpha=\"0.14\", expect_size=\"32021504\"] \n  28 -> 29 [size =\"32021504\"]\n  29 [size=\"123750400\", alpha=\"0.18\", expect_size=\"49500160\"] \n  29 -> 30 [size =\"49500160\"]\n  30 [size=\"115778560\", alpha=\"0.06\", expect_size=\"46311424\"] \n  30 -> 31 [size =\"46311424\"]\n  31 [size=\"87879680\", alpha=\"0.09\", expect_size=\"35151872\"] \n  31 -> 32 [size =\"35151872\"]\n  32 [size=\"62039040\", alpha=\"0.14\", expect_size=\"24815616\"] \n  32 -> 33 [size =\"24815616\"]\n  33 [size=\"36615680\", alpha=\"0.08\", expect_size=\"14646272\"] \n  33 -> 34 [size =\"14646272\"]\n  34 [size=\"57571840\", alpha=\"0.03\", expect_size=\"23028736\"] \n  34 -> 35 [size =\"23028736\"]\n  35 [size=\"62858240\", alpha=\"0.07\", expect_size=\"25143296\"] \n  35 -> 36 [size =\"25143296\"]\n  36 [size=\"127633920\", alpha=\"0.05\", expect_size=\"51053568\"] \n  36 -> 37 [size =\"51053568\"]\n  37 [size=\"79439360\", alpha=\"0.06\", expect_size=\"31775744\"] \n  37 -> 38 [size =\"31775744\"]\n  38 [size=\"123491840\", alpha=\"0.17\", expect_size=\"49396736\"] \n  38 -> 39 [size =\"49396736\"]\n  39 [size=\"89418240\", alpha=\"0.11\", expect_size=\"35767296\"] \n  39 -> 40 [size =\"35767296\"]\n  40 [size=\"79203840\", alpha=\"0.16\", expect_size=\"31681536\"] \n  40 -> 41 [size =\"31681536\"]\n  41 [size=\"116006400\", alpha=\"0.05\", expect_size=\"46402560\"] \n  41 -> 42 [size =\"46402560\"]\n  42 [size=\"48747520\", alpha=\"0.19\", expect_size=\"19499008\"] \n  42 -> 43 [size =\"19499008\"]\n  43 [size=\"129966080\", alpha=\"0.14\", expect_size=\"51986432\"] \n  43 -> 44 [size =\"51986432\"]\n  44 [size=\"56424960\", alpha=\"0.16\", expect_size=\"22569984\"] \n  44 -> 45 [size =\"22569984\"]\n  45 [size=\"71587840\", alpha=\"0.12\", expect_size=\"28635136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173902507\", alpha=\"0.19\", expect_size=\"52170752\"] \n  1 -> 2 [size =\"52170752\"]\n  2 [size=\"71738027\", alpha=\"0.03\", expect_size=\"21521408\"] \n  2 -> 3 [size =\"21521408\"]\n  3 [size=\"83490133\", alpha=\"0.19\", expect_size=\"25047040\"] \n  3 -> 4 [size =\"25047040\"]\n  4 [size=\"61166933\", alpha=\"0.04\", expect_size=\"18350080\"] \n  4 -> 5 [size =\"18350080\"]\n  5 [size=\"158696107\", alpha=\"0.15\", expect_size=\"47608832\"] \n  5 -> 6 [size =\"47608832\"]\n  6 [size=\"91508053\", alpha=\"0.08\", expect_size=\"27452416\"] \n  6 -> 7 [size =\"27452416\"]\n  7 [size=\"124214613\", alpha=\"0.08\", expect_size=\"37264384\"] \n  7 -> 8 [size =\"37264384\"]\n  8 [size=\"155668480\", alpha=\"0.00\", expect_size=\"46700544\"] \n  8 -> 9 [size =\"46700544\"]\n  9 [size=\"44653227\", alpha=\"0.15\", expect_size=\"13395968\"] \n  9 -> 10 [size =\"13395968\"]\n  10 [size=\"99587413\", alpha=\"0.07\", expect_size=\"29876224\"] \n  10 -> 11 [size =\"29876224\"]\n  11 [size=\"46076587\", alpha=\"0.10\", expect_size=\"13822976\"] \n  11 -> 12 [size =\"13822976\"]\n  12 [size=\"36645547\", alpha=\"0.18\", expect_size=\"10993664\"] \n  12 -> 13 [size =\"10993664\"]\n  13 [size=\"60658347\", alpha=\"0.04\", expect_size=\"18197504\"] \n  13 -> 14 [size =\"18197504\"]\n  14 [size=\"49653760\", alpha=\"0.13\", expect_size=\"14896128\"] \n  14 -> 15 [size =\"14896128\"]\n  15 [size=\"77455360\", alpha=\"0.11\", expect_size=\"23236608\"] \n  15 -> 16 [size =\"23236608\"]\n  16 [size=\"35959467\", alpha=\"0.09\", expect_size=\"10787840\"] \n  16 -> 17 [size =\"10787840\"]\n  17 [size=\"102792533\", alpha=\"0.09\", expect_size=\"30837760\"] \n  17 -> 18 [size =\"30837760\"]\n  18 [size=\"163140267\", alpha=\"0.08\", expect_size=\"48942080\"] \n  18 -> 19 [size =\"48942080\"]\n  19 [size=\"165724160\", alpha=\"0.13\", expect_size=\"49717248\"] \n  19 -> 20 [size =\"49717248\"]\n  20 [size=\"130136747\", alpha=\"0.20\", expect_size=\"39041024\"] \n  20 -> 21 [size =\"39041024\"]\n  21 [size=\"29856427\", alpha=\"0.06\", expect_size=\"8956928\"] \n  21 -> 22 [size =\"8956928\"]\n  22 [size=\"108247040\", alpha=\"0.20\", expect_size=\"32474112\"] \n  22 -> 23 [size =\"32474112\"]\n  23 [size=\"95948800\", alpha=\"0.01\", expect_size=\"28784640\"] \n  23 -> 24 [size =\"28784640\"]\n  24 [size=\"126979413\", alpha=\"0.09\", expect_size=\"38093824\"] \n  24 -> 25 [size =\"38093824\"]\n  25 [size=\"68362240\", alpha=\"0.14\", expect_size=\"20508672\"] \n  25 -> 26 [size =\"20508672\"]\n  26 [size=\"153606827\", alpha=\"0.09\", expect_size=\"46082048\"] \n  26 -> 27 [size =\"46082048\"]\n  27 [size=\"69014187\", alpha=\"0.17\", expect_size=\"20704256\"] \n  27 -> 28 [size =\"20704256\"]\n  28 [size=\"142933333\", alpha=\"0.03\", expect_size=\"42880000\"] \n  28 -> 29 [size =\"42880000\"]\n  29 [size=\"48465920\", alpha=\"0.12\", expect_size=\"14539776\"] \n  29 -> 30 [size =\"14539776\"]\n  30 [size=\"151394987\", alpha=\"0.12\", expect_size=\"45418496\"] \n  30 -> 31 [size =\"45418496\"]\n  31 [size=\"149005653\", alpha=\"0.15\", expect_size=\"44701696\"] \n  31 -> 32 [size =\"44701696\"]\n  32 [size=\"40437760\", alpha=\"0.01\", expect_size=\"12131328\"] \n  32 -> 33 [size =\"12131328\"]\n  33 [size=\"37249707\", alpha=\"0.13\", expect_size=\"11174912\"] \n  33 -> 34 [size =\"11174912\"]\n  34 [size=\"48162133\", alpha=\"0.08\", expect_size=\"14448640\"] \n  34 -> 35 [size =\"14448640\"]\n  35 [size=\"116875947\", alpha=\"0.11\", expect_size=\"35062784\"] \n  35 -> 36 [size =\"35062784\"]\n  36 [size=\"70031360\", alpha=\"0.16\", expect_size=\"21009408\"] \n  36 -> 37 [size =\"21009408\"]\n  37 [size=\"138953387\", alpha=\"0.13\", expect_size=\"41686016\"] \n  37 -> 38 [size =\"41686016\"]\n  38 [size=\"115804160\", alpha=\"0.07\", expect_size=\"34741248\"] \n  38 -> 39 [size =\"34741248\"]\n  39 [size=\"138782720\", alpha=\"0.01\", expect_size=\"41634816\"] \n  39 -> 40 [size =\"41634816\"]\n  40 [size=\"77779627\", alpha=\"0.09\", expect_size=\"23333888\"] \n  40 -> 41 [size =\"23333888\"]\n  41 [size=\"172189013\", alpha=\"0.19\", expect_size=\"51656704\"] \n  41 -> 42 [size =\"51656704\"]\n  42 [size=\"136045227\", alpha=\"0.20\", expect_size=\"40813568\"] \n  42 -> 43 [size =\"40813568\"]\n  43 [size=\"145800533\", alpha=\"0.11\", expect_size=\"43740160\"] \n  43 -> 44 [size =\"43740160\"]\n  44 [size=\"87354027\", alpha=\"0.16\", expect_size=\"26206208\"] \n  44 -> 45 [size =\"26206208\"]\n  45 [size=\"150166187\", alpha=\"0.07\", expect_size=\"45049856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84918272\", alpha=\"0.01\", expect_size=\"42459136\"] \n  1 -> 8 [size =\"42459136\"]\n  1 -> 11 [size =\"42459136\"]\n  2 [size=\"69744640\", alpha=\"0.08\", expect_size=\"34872320\"] \n  2 -> 10 [size =\"34872320\"]\n  2 -> 11 [size =\"34872320\"]\n  3 [size=\"101021696\", alpha=\"0.17\", expect_size=\"50510848\"] \n  3 -> 9 [size =\"50510848\"]\n  4 [size=\"73299968\", alpha=\"0.04\", expect_size=\"36649984\"] \n  4 -> 7 [size =\"36649984\"]\n  4 -> 8 [size =\"36649984\"]\n  4 -> 9 [size =\"36649984\"]\n  4 -> 10 [size =\"36649984\"]\n  5 [size=\"100218880\", alpha=\"0.02\", expect_size=\"50109440\"] \n  5 -> 7 [size =\"50109440\"]\n  5 -> 9 [size =\"50109440\"]\n  5 -> 10 [size =\"50109440\"]\n  6 [size=\"20152320\", alpha=\"0.01\", expect_size=\"10076160\"] \n  6 -> 10 [size =\"10076160\"]\n  6 -> 11 [size =\"10076160\"]\n  7 [size=\"91877376\", alpha=\"0.04\", expect_size=\"45938688\"] \n  7 -> 12 [size =\"45938688\"]\n  7 -> 16 [size =\"45938688\"]\n  8 [size=\"78626816\", alpha=\"0.13\", expect_size=\"39313408\"] \n  9 [size=\"96057344\", alpha=\"0.10\", expect_size=\"48028672\"] \n  9 -> 13 [size =\"48028672\"]\n  9 -> 16 [size =\"48028672\"]\n  10 [size=\"27394048\", alpha=\"0.04\", expect_size=\"13697024\"] \n  10 -> 13 [size =\"13697024\"]\n  10 -> 14 [size =\"13697024\"]\n  10 -> 16 [size =\"13697024\"]\n  11 [size=\"28452864\", alpha=\"0.15\", expect_size=\"14226432\"] \n  11 -> 12 [size =\"14226432\"]\n  11 -> 14 [size =\"14226432\"]\n  11 -> 15 [size =\"14226432\"]\n  12 [size=\"34975744\", alpha=\"0.03\", expect_size=\"17487872\"] \n  12 -> 19 [size =\"17487872\"]\n  12 -> 21 [size =\"17487872\"]\n  12 -> 22 [size =\"17487872\"]\n  13 [size=\"72448000\", alpha=\"0.16\", expect_size=\"36224000\"] \n  13 -> 18 [size =\"36224000\"]\n  13 -> 21 [size =\"36224000\"]\n  14 [size=\"60436480\", alpha=\"0.16\", expect_size=\"30218240\"] \n  14 -> 17 [size =\"30218240\"]\n  14 -> 19 [size =\"30218240\"]\n  14 -> 20 [size =\"30218240\"]\n  15 [size=\"80437248\", alpha=\"0.10\", expect_size=\"40218624\"] \n  15 -> 17 [size =\"40218624\"]\n  15 -> 18 [size =\"40218624\"]\n  15 -> 22 [size =\"40218624\"]\n  16 [size=\"89057280\", alpha=\"0.04\", expect_size=\"44528640\"] \n  16 -> 18 [size =\"44528640\"]\n  16 -> 19 [size =\"44528640\"]\n  16 -> 21 [size =\"44528640\"]\n  16 -> 22 [size =\"44528640\"]\n  17 [size=\"91774976\", alpha=\"0.18\", expect_size=\"45887488\"] \n  17 -> 24 [size =\"45887488\"]\n  17 -> 27 [size =\"45887488\"]\n  17 -> 28 [size =\"45887488\"]\n  18 [size=\"15095808\", alpha=\"0.10\", expect_size=\"7547904\"] \n  18 -> 23 [size =\"7547904\"]\n  18 -> 26 [size =\"7547904\"]\n  19 [size=\"76064768\", alpha=\"0.19\", expect_size=\"38032384\"] \n  20 [size=\"29143040\", alpha=\"0.17\", expect_size=\"14571520\"] \n  20 -> 23 [size =\"14571520\"]\n  20 -> 27 [size =\"14571520\"]\n  21 [size=\"46415872\", alpha=\"0.10\", expect_size=\"23207936\"] \n  21 -> 24 [size =\"23207936\"]\n  21 -> 28 [size =\"23207936\"]\n  22 [size=\"23025664\", alpha=\"0.16\", expect_size=\"11512832\"] \n  22 -> 25 [size =\"11512832\"]\n  22 -> 26 [size =\"11512832\"]\n  23 [size=\"38152192\", alpha=\"0.01\", expect_size=\"19076096\"] \n  23 -> 30 [size =\"19076096\"]\n  24 [size=\"18952192\", alpha=\"0.19\", expect_size=\"9476096\"] \n  24 -> 30 [size =\"9476096\"]\n  24 -> 31 [size =\"9476096\"]\n  24 -> 32 [size =\"9476096\"]\n  25 [size=\"96733184\", alpha=\"0.16\", expect_size=\"48366592\"] \n  26 [size=\"49238016\", alpha=\"0.15\", expect_size=\"24619008\"] \n  26 -> 29 [size =\"24619008\"]\n  27 [size=\"67119104\", alpha=\"0.12\", expect_size=\"33559552\"] \n  27 -> 31 [size =\"33559552\"]\n  27 -> 33 [size =\"33559552\"]\n  28 [size=\"59455488\", alpha=\"0.03\", expect_size=\"29727744\"] \n  29 [size=\"11427840\", alpha=\"0.12\", expect_size=\"5713920\"] \n  29 -> 38 [size =\"5713920\"]\n  30 [size=\"102959104\", alpha=\"0.05\", expect_size=\"51479552\"] \n  30 -> 34 [size =\"51479552\"]\n  31 [size=\"87896064\", alpha=\"0.01\", expect_size=\"43948032\"] \n  32 [size=\"40673280\", alpha=\"0.03\", expect_size=\"20336640\"] \n  32 -> 35 [size =\"20336640\"]\n  33 [size=\"20549632\", alpha=\"0.18\", expect_size=\"10274816\"] \n  33 -> 36 [size =\"10274816\"]\n  33 -> 37 [size =\"10274816\"]\n  34 [size=\"23691264\", alpha=\"0.03\", expect_size=\"11845632\"] \n  34 -> 41 [size =\"11845632\"]\n  34 -> 43 [size =\"11845632\"]\n  34 -> 44 [size =\"11845632\"]\n  35 [size=\"18540544\", alpha=\"0.04\", expect_size=\"9270272\"] \n  35 -> 39 [size =\"9270272\"]\n  35 -> 42 [size =\"9270272\"]\n  36 [size=\"94830592\", alpha=\"0.01\", expect_size=\"47415296\"] \n  36 -> 41 [size =\"47415296\"]\n  36 -> 44 [size =\"47415296\"]\n  37 [size=\"73484288\", alpha=\"0.15\", expect_size=\"36742144\"] \n  37 -> 44 [size =\"36742144\"]\n  38 [size=\"35895296\", alpha=\"0.10\", expect_size=\"17947648\"] \n  38 -> 39 [size =\"17947648\"]\n  38 -> 40 [size =\"17947648\"]\n  38 -> 41 [size =\"17947648\"]\n  38 -> 42 [size =\"17947648\"]\n  39 [size=\"50202624\", alpha=\"0.19\", expect_size=\"25101312\"] \n  39 -> 45 [size =\"25101312\"]\n  40 [size=\"13238272\", alpha=\"0.12\", expect_size=\"6619136\"] \n  41 [size=\"36284416\", alpha=\"0.12\", expect_size=\"18142208\"] \n  42 [size=\"42932224\", alpha=\"0.16\", expect_size=\"21466112\"] \n  43 [size=\"57675776\", alpha=\"0.05\", expect_size=\"28837888\"] \n  44 [size=\"48107520\", alpha=\"0.16\", expect_size=\"24053760\"] \n  44 -> 45 [size =\"24053760\"]\n  45 [size=\"64180224\", alpha=\"0.05\", expect_size=\"32090112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47783936\", alpha=\"0.17\", expect_size=\"23891968\"] \n  1 -> 2 [size =\"23891968\"]\n  1 -> 3 [size =\"23891968\"]\n  1 -> 4 [size =\"23891968\"]\n  2 [size=\"43474944\", alpha=\"0.01\", expect_size=\"21737472\"] \n  2 -> 5 [size =\"21737472\"]\n  2 -> 6 [size =\"21737472\"]\n  3 [size=\"88365056\", alpha=\"0.13\", expect_size=\"44182528\"] \n  3 -> 5 [size =\"44182528\"]\n  3 -> 7 [size =\"44182528\"]\n  4 [size=\"99059712\", alpha=\"0.18\", expect_size=\"49529856\"] \n  4 -> 5 [size =\"49529856\"]\n  4 -> 6 [size =\"49529856\"]\n  4 -> 7 [size =\"49529856\"]\n  5 [size=\"86337536\", alpha=\"0.19\", expect_size=\"43168768\"] \n  5 -> 8 [size =\"43168768\"]\n  5 -> 9 [size =\"43168768\"]\n  5 -> 10 [size =\"43168768\"]\n  6 [size=\"65837056\", alpha=\"0.10\", expect_size=\"32918528\"] \n  6 -> 10 [size =\"32918528\"]\n  7 [size=\"39659520\", alpha=\"0.02\", expect_size=\"19829760\"] \n  7 -> 9 [size =\"19829760\"]\n  7 -> 10 [size =\"19829760\"]\n  8 [size=\"64921600\", alpha=\"0.12\", expect_size=\"32460800\"] \n  8 -> 11 [size =\"32460800\"]\n  8 -> 12 [size =\"32460800\"]\n  8 -> 13 [size =\"32460800\"]\n  9 [size=\"72949760\", alpha=\"0.10\", expect_size=\"36474880\"] \n  9 -> 11 [size =\"36474880\"]\n  9 -> 12 [size =\"36474880\"]\n  9 -> 13 [size =\"36474880\"]\n  10 [size=\"26540032\", alpha=\"0.08\", expect_size=\"13270016\"] \n  10 -> 11 [size =\"13270016\"]\n  10 -> 12 [size =\"13270016\"]\n  11 [size=\"26109952\", alpha=\"0.19\", expect_size=\"13054976\"] \n  11 -> 14 [size =\"13054976\"]\n  11 -> 15 [size =\"13054976\"]\n  11 -> 16 [size =\"13054976\"]\n  12 [size=\"11638784\", alpha=\"0.10\", expect_size=\"5819392\"] \n  12 -> 14 [size =\"5819392\"]\n  12 -> 16 [size =\"5819392\"]\n  13 [size=\"18499584\", alpha=\"0.11\", expect_size=\"9249792\"] \n  13 -> 14 [size =\"9249792\"]\n  13 -> 16 [size =\"9249792\"]\n  14 [size=\"79362048\", alpha=\"0.06\", expect_size=\"39681024\"] \n  14 -> 17 [size =\"39681024\"]\n  15 [size=\"70563840\", alpha=\"0.04\", expect_size=\"35281920\"] \n  15 -> 17 [size =\"35281920\"]\n  15 -> 19 [size =\"35281920\"]\n  16 [size=\"67258368\", alpha=\"0.19\", expect_size=\"33629184\"] \n  16 -> 18 [size =\"33629184\"]\n  16 -> 19 [size =\"33629184\"]\n  17 [size=\"21006336\", alpha=\"0.08\", expect_size=\"10503168\"] \n  18 [size=\"32454656\", alpha=\"0.09\", expect_size=\"16227328\"] \n  18 -> 20 [size =\"16227328\"]\n  18 -> 21 [size =\"16227328\"]\n  19 [size=\"86870016\", alpha=\"0.18\", expect_size=\"43435008\"] \n  19 -> 20 [size =\"43435008\"]\n  20 [size=\"40036352\", alpha=\"0.14\", expect_size=\"20018176\"] \n  20 -> 22 [size =\"20018176\"]\n  20 -> 23 [size =\"20018176\"]\n  20 -> 24 [size =\"20018176\"]\n  21 [size=\"75722752\", alpha=\"0.19\", expect_size=\"37861376\"] \n  21 -> 22 [size =\"37861376\"]\n  21 -> 23 [size =\"37861376\"]\n  21 -> 24 [size =\"37861376\"]\n  22 [size=\"68655104\", alpha=\"0.10\", expect_size=\"34327552\"] \n  22 -> 25 [size =\"34327552\"]\n  22 -> 26 [size =\"34327552\"]\n  23 [size=\"19415040\", alpha=\"0.18\", expect_size=\"9707520\"] \n  23 -> 25 [size =\"9707520\"]\n  23 -> 26 [size =\"9707520\"]\n  24 [size=\"69646336\", alpha=\"0.05\", expect_size=\"34823168\"] \n  24 -> 25 [size =\"34823168\"]\n  24 -> 26 [size =\"34823168\"]\n  25 [size=\"95737856\", alpha=\"0.07\", expect_size=\"47868928\"] \n  25 -> 27 [size =\"47868928\"]\n  26 [size=\"22059008\", alpha=\"0.02\", expect_size=\"11029504\"] \n  26 -> 27 [size =\"11029504\"]\n  27 [size=\"17289216\", alpha=\"0.03\", expect_size=\"8644608\"] \n  27 -> 28 [size =\"8644608\"]\n  27 -> 29 [size =\"8644608\"]\n  28 [size=\"54157312\", alpha=\"0.15\", expect_size=\"27078656\"] \n  28 -> 30 [size =\"27078656\"]\n  28 -> 31 [size =\"27078656\"]\n  28 -> 32 [size =\"27078656\"]\n  28 -> 33 [size =\"27078656\"]\n  29 [size=\"96665600\", alpha=\"0.00\", expect_size=\"48332800\"] \n  29 -> 30 [size =\"48332800\"]\n  29 -> 31 [size =\"48332800\"]\n  29 -> 32 [size =\"48332800\"]\n  29 -> 33 [size =\"48332800\"]\n  30 [size=\"87113728\", alpha=\"0.09\", expect_size=\"43556864\"] \n  30 -> 34 [size =\"43556864\"]\n  30 -> 35 [size =\"43556864\"]\n  30 -> 36 [size =\"43556864\"]\n  31 [size=\"60907520\", alpha=\"0.01\", expect_size=\"30453760\"] \n  31 -> 34 [size =\"30453760\"]\n  31 -> 36 [size =\"30453760\"]\n  32 [size=\"55347200\", alpha=\"0.13\", expect_size=\"27673600\"] \n  32 -> 34 [size =\"27673600\"]\n  32 -> 36 [size =\"27673600\"]\n  33 [size=\"103421952\", alpha=\"0.07\", expect_size=\"51710976\"] \n  33 -> 34 [size =\"51710976\"]\n  33 -> 36 [size =\"51710976\"]\n  34 [size=\"94267392\", alpha=\"0.16\", expect_size=\"47133696\"] \n  34 -> 37 [size =\"47133696\"]\n  35 [size=\"22087680\", alpha=\"0.17\", expect_size=\"11043840\"] \n  35 -> 37 [size =\"11043840\"]\n  35 -> 38 [size =\"11043840\"]\n  36 [size=\"57108480\", alpha=\"0.11\", expect_size=\"28554240\"] \n  36 -> 37 [size =\"28554240\"]\n  37 [size=\"65939456\", alpha=\"0.07\", expect_size=\"32969728\"] \n  37 -> 39 [size =\"32969728\"]\n  37 -> 40 [size =\"32969728\"]\n  37 -> 41 [size =\"32969728\"]\n  38 [size=\"77754368\", alpha=\"0.07\", expect_size=\"38877184\"] \n  38 -> 39 [size =\"38877184\"]\n  38 -> 41 [size =\"38877184\"]\n  38 -> 42 [size =\"38877184\"]\n  39 [size=\"52621312\", alpha=\"0.03\", expect_size=\"26310656\"] \n  39 -> 43 [size =\"26310656\"]\n  39 -> 45 [size =\"26310656\"]\n  40 [size=\"53002240\", alpha=\"0.06\", expect_size=\"26501120\"] \n  40 -> 44 [size =\"26501120\"]\n  40 -> 45 [size =\"26501120\"]\n  41 [size=\"94953472\", alpha=\"0.03\", expect_size=\"47476736\"] \n  41 -> 44 [size =\"47476736\"]\n  41 -> 45 [size =\"47476736\"]\n  42 [size=\"99727360\", alpha=\"0.12\", expect_size=\"49863680\"] \n  42 -> 43 [size =\"49863680\"]\n  42 -> 44 [size =\"49863680\"]\n  43 [size=\"68478976\", alpha=\"0.02\", expect_size=\"34239488\"] \n  44 [size=\"103591936\", alpha=\"0.06\", expect_size=\"51795968\"] \n  45 [size=\"85202944\", alpha=\"0.07\", expect_size=\"42601472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86968320\", alpha=\"0.17\", expect_size=\"43484160\"] \n  1 -> 15 [size =\"43484160\"]\n  1 -> 19 [size =\"43484160\"]\n  1 -> 21 [size =\"43484160\"]\n  1 -> 25 [size =\"43484160\"]\n  2 [size=\"68093952\", alpha=\"0.17\", expect_size=\"34046976\"] \n  2 -> 15 [size =\"34046976\"]\n  2 -> 18 [size =\"34046976\"]\n  2 -> 24 [size =\"34046976\"]\n  2 -> 27 [size =\"34046976\"]\n  3 [size=\"36653056\", alpha=\"0.13\", expect_size=\"18326528\"] \n  3 -> 15 [size =\"18326528\"]\n  3 -> 18 [size =\"18326528\"]\n  3 -> 19 [size =\"18326528\"]\n  3 -> 20 [size =\"18326528\"]\n  3 -> 22 [size =\"18326528\"]\n  3 -> 26 [size =\"18326528\"]\n  3 -> 28 [size =\"18326528\"]\n  4 [size=\"73347072\", alpha=\"0.19\", expect_size=\"36673536\"] \n  4 -> 15 [size =\"36673536\"]\n  4 -> 18 [size =\"36673536\"]\n  4 -> 19 [size =\"36673536\"]\n  4 -> 28 [size =\"36673536\"]\n  5 [size=\"63750144\", alpha=\"0.04\", expect_size=\"31875072\"] \n  5 -> 18 [size =\"31875072\"]\n  6 [size=\"101990400\", alpha=\"0.13\", expect_size=\"50995200\"] \n  6 -> 17 [size =\"50995200\"]\n  6 -> 18 [size =\"50995200\"]\n  6 -> 20 [size =\"50995200\"]\n  6 -> 21 [size =\"50995200\"]\n  7 [size=\"88915968\", alpha=\"0.03\", expect_size=\"44457984\"] \n  7 -> 17 [size =\"44457984\"]\n  7 -> 19 [size =\"44457984\"]\n  7 -> 20 [size =\"44457984\"]\n  7 -> 22 [size =\"44457984\"]\n  7 -> 23 [size =\"44457984\"]\n  7 -> 26 [size =\"44457984\"]\n  8 [size=\"72779776\", alpha=\"0.03\", expect_size=\"36389888\"] \n  8 -> 17 [size =\"36389888\"]\n  8 -> 19 [size =\"36389888\"]\n  8 -> 20 [size =\"36389888\"]\n  8 -> 25 [size =\"36389888\"]\n  8 -> 26 [size =\"36389888\"]\n  9 [size=\"37388288\", alpha=\"0.06\", expect_size=\"18694144\"] \n  9 -> 20 [size =\"18694144\"]\n  9 -> 21 [size =\"18694144\"]\n  9 -> 28 [size =\"18694144\"]\n  10 [size=\"98725888\", alpha=\"0.11\", expect_size=\"49362944\"] \n  10 -> 16 [size =\"49362944\"]\n  10 -> 18 [size =\"49362944\"]\n  10 -> 20 [size =\"49362944\"]\n  10 -> 25 [size =\"49362944\"]\n  10 -> 28 [size =\"49362944\"]\n  11 [size=\"62697472\", alpha=\"0.18\", expect_size=\"31348736\"] \n  11 -> 18 [size =\"31348736\"]\n  11 -> 19 [size =\"31348736\"]\n  11 -> 24 [size =\"31348736\"]\n  11 -> 25 [size =\"31348736\"]\n  12 [size=\"49645568\", alpha=\"0.10\", expect_size=\"24822784\"] \n  12 -> 17 [size =\"24822784\"]\n  12 -> 20 [size =\"24822784\"]\n  12 -> 24 [size =\"24822784\"]\n  12 -> 25 [size =\"24822784\"]\n  13 [size=\"37171200\", alpha=\"0.10\", expect_size=\"18585600\"] \n  13 -> 18 [size =\"18585600\"]\n  13 -> 20 [size =\"18585600\"]\n  13 -> 25 [size =\"18585600\"]\n  13 -> 26 [size =\"18585600\"]\n  13 -> 27 [size =\"18585600\"]\n  13 -> 28 [size =\"18585600\"]\n  14 [size=\"100474880\", alpha=\"0.13\", expect_size=\"50237440\"] \n  14 -> 18 [size =\"50237440\"]\n  14 -> 20 [size =\"50237440\"]\n  14 -> 22 [size =\"50237440\"]\n  15 [size=\"93751296\", alpha=\"0.11\", expect_size=\"46875648\"] \n  15 -> 29 [size =\"46875648\"]\n  15 -> 30 [size =\"46875648\"]\n  15 -> 35 [size =\"46875648\"]\n  15 -> 36 [size =\"46875648\"]\n  15 -> 37 [size =\"46875648\"]\n  15 -> 38 [size =\"46875648\"]\n  15 -> 41 [size =\"46875648\"]\n  16 [size=\"16875520\", alpha=\"0.01\", expect_size=\"8437760\"] \n  16 -> 30 [size =\"8437760\"]\n  16 -> 30 [size =\"8437760\"]\n  16 -> 35 [size =\"8437760\"]\n  16 -> 36 [size =\"8437760\"]\n  16 -> 38 [size =\"8437760\"]\n  17 [size=\"79808512\", alpha=\"0.10\", expect_size=\"39904256\"] \n  17 -> 32 [size =\"39904256\"]\n  17 -> 34 [size =\"39904256\"]\n  17 -> 35 [size =\"39904256\"]\n  17 -> 36 [size =\"39904256\"]\n  17 -> 39 [size =\"39904256\"]\n  17 -> 41 [size =\"39904256\"]\n  18 [size=\"92928000\", alpha=\"0.13\", expect_size=\"46464000\"] \n  18 -> 29 [size =\"46464000\"]\n  18 -> 35 [size =\"46464000\"]\n  18 -> 35 [size =\"46464000\"]\n  18 -> 36 [size =\"46464000\"]\n  18 -> 39 [size =\"46464000\"]\n  19 [size=\"14618624\", alpha=\"0.15\", expect_size=\"7309312\"] \n  19 -> 30 [size =\"7309312\"]\n  19 -> 32 [size =\"7309312\"]\n  19 -> 34 [size =\"7309312\"]\n  19 -> 36 [size =\"7309312\"]\n  19 -> 39 [size =\"7309312\"]\n  19 -> 41 [size =\"7309312\"]\n  20 [size=\"44267520\", alpha=\"0.07\", expect_size=\"22133760\"] \n  20 -> 30 [size =\"22133760\"]\n  20 -> 32 [size =\"22133760\"]\n  20 -> 37 [size =\"22133760\"]\n  20 -> 39 [size =\"22133760\"]\n  20 -> 39 [size =\"22133760\"]\n  20 -> 41 [size =\"22133760\"]\n  21 [size=\"97226752\", alpha=\"0.15\", expect_size=\"48613376\"] \n  21 -> 30 [size =\"48613376\"]\n  21 -> 37 [size =\"48613376\"]\n  22 [size=\"86018048\", alpha=\"0.16\", expect_size=\"43009024\"] \n  22 -> 29 [size =\"43009024\"]\n  22 -> 34 [size =\"43009024\"]\n  22 -> 35 [size =\"43009024\"]\n  22 -> 39 [size =\"43009024\"]\n  22 -> 41 [size =\"43009024\"]\n  23 [size=\"40017920\", alpha=\"0.02\", expect_size=\"20008960\"] \n  23 -> 29 [size =\"20008960\"]\n  23 -> 31 [size =\"20008960\"]\n  23 -> 32 [size =\"20008960\"]\n  23 -> 34 [size =\"20008960\"]\n  23 -> 35 [size =\"20008960\"]\n  23 -> 37 [size =\"20008960\"]\n  23 -> 38 [size =\"20008960\"]\n  23 -> 39 [size =\"20008960\"]\n  23 -> 41 [size =\"20008960\"]\n  24 [size=\"87412736\", alpha=\"0.01\", expect_size=\"43706368\"] \n  24 -> 29 [size =\"43706368\"]\n  24 -> 30 [size =\"43706368\"]\n  24 -> 31 [size =\"43706368\"]\n  24 -> 32 [size =\"43706368\"]\n  24 -> 36 [size =\"43706368\"]\n  24 -> 37 [size =\"43706368\"]\n  24 -> 39 [size =\"43706368\"]\n  25 [size=\"54947840\", alpha=\"0.12\", expect_size=\"27473920\"] \n  25 -> 29 [size =\"27473920\"]\n  25 -> 32 [size =\"27473920\"]\n  25 -> 34 [size =\"27473920\"]\n  25 -> 36 [size =\"27473920\"]\n  25 -> 39 [size =\"27473920\"]\n  25 -> 41 [size =\"27473920\"]\n  26 [size=\"11874304\", alpha=\"0.02\", expect_size=\"5937152\"] \n  26 -> 29 [size =\"5937152\"]\n  26 -> 30 [size =\"5937152\"]\n  26 -> 32 [size =\"5937152\"]\n  26 -> 36 [size =\"5937152\"]\n  26 -> 38 [size =\"5937152\"]\n  26 -> 41 [size =\"5937152\"]\n  27 [size=\"18020352\", alpha=\"0.08\", expect_size=\"9010176\"] \n  27 -> 29 [size =\"9010176\"]\n  27 -> 32 [size =\"9010176\"]\n  27 -> 32 [size =\"9010176\"]\n  27 -> 33 [size =\"9010176\"]\n  27 -> 35 [size =\"9010176\"]\n  27 -> 36 [size =\"9010176\"]\n  27 -> 39 [size =\"9010176\"]\n  27 -> 40 [size =\"9010176\"]\n  27 -> 41 [size =\"9010176\"]\n  28 [size=\"64669696\", alpha=\"0.08\", expect_size=\"32334848\"] \n  28 -> 29 [size =\"32334848\"]\n  28 -> 30 [size =\"32334848\"]\n  28 -> 34 [size =\"32334848\"]\n  28 -> 36 [size =\"32334848\"]\n  28 -> 38 [size =\"32334848\"]\n  28 -> 41 [size =\"32334848\"]\n  29 [size=\"33335296\", alpha=\"0.14\", expect_size=\"16667648\"] \n  29 -> 44 [size =\"16667648\"]\n  30 [size=\"102905856\", alpha=\"0.18\", expect_size=\"51452928\"] \n  31 [size=\"40685568\", alpha=\"0.13\", expect_size=\"20342784\"] \n  31 -> 44 [size =\"20342784\"]\n  32 [size=\"17532928\", alpha=\"0.17\", expect_size=\"8766464\"] \n  33 [size=\"91052032\", alpha=\"0.06\", expect_size=\"45526016\"] \n  34 [size=\"98672640\", alpha=\"0.15\", expect_size=\"49336320\"] \n  35 [size=\"103254016\", alpha=\"0.01\", expect_size=\"51627008\"] \n  35 -> 45 [size =\"51627008\"]\n  36 [size=\"63688704\", alpha=\"0.08\", expect_size=\"31844352\"] \n  36 -> 44 [size =\"31844352\"]\n  36 -> 45 [size =\"31844352\"]\n  37 [size=\"71483392\", alpha=\"0.10\", expect_size=\"35741696\"] \n  37 -> 44 [size =\"35741696\"]\n  38 [size=\"16322560\", alpha=\"0.10\", expect_size=\"8161280\"] \n  38 -> 43 [size =\"8161280\"]\n  38 -> 44 [size =\"8161280\"]\n  39 [size=\"54876160\", alpha=\"0.10\", expect_size=\"27438080\"] \n  39 -> 42 [size =\"27438080\"]\n  40 [size=\"25303040\", alpha=\"0.17\", expect_size=\"12651520\"] \n  40 -> 42 [size =\"12651520\"]\n  40 -> 44 [size =\"12651520\"]\n  41 [size=\"15843328\", alpha=\"0.03\", expect_size=\"7921664\"] \n  41 -> 44 [size =\"7921664\"]\n  41 -> 44 [size =\"7921664\"]\n  41 -> 45 [size =\"7921664\"]\n  42 [size=\"78710784\", alpha=\"0.05\", expect_size=\"39355392\"] \n  43 [size=\"64321536\", alpha=\"0.14\", expect_size=\"32160768\"] \n  44 [size=\"93732864\", alpha=\"0.18\", expect_size=\"46866432\"] \n  45 [size=\"68196352\", alpha=\"0.12\", expect_size=\"34098176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84016640\", alpha=\"0.07\", expect_size=\"33606656\"] \n  1 -> 20 [size =\"33606656\"]\n  2 [size=\"56768000\", alpha=\"0.13\", expect_size=\"22707200\"] \n  2 -> 18 [size =\"22707200\"]\n  2 -> 20 [size =\"22707200\"]\n  3 [size=\"86095360\", alpha=\"0.15\", expect_size=\"34438144\"] \n  3 -> 18 [size =\"34438144\"]\n  3 -> 20 [size =\"34438144\"]\n  4 [size=\"87339520\", alpha=\"0.16\", expect_size=\"34935808\"] \n  4 -> 20 [size =\"34935808\"]\n  4 -> 25 [size =\"34935808\"]\n  5 [size=\"116853760\", alpha=\"0.09\", expect_size=\"46741504\"] \n  5 -> 20 [size =\"46741504\"]\n  5 -> 24 [size =\"46741504\"]\n  6 [size=\"95098880\", alpha=\"0.14\", expect_size=\"38039552\"] \n  6 -> 18 [size =\"38039552\"]\n  6 -> 20 [size =\"38039552\"]\n  6 -> 21 [size =\"38039552\"]\n  6 -> 24 [size =\"38039552\"]\n  6 -> 25 [size =\"38039552\"]\n  7 [size=\"14013440\", alpha=\"0.11\", expect_size=\"5605376\"] \n  7 -> 19 [size =\"5605376\"]\n  7 -> 20 [size =\"5605376\"]\n  7 -> 25 [size =\"5605376\"]\n  8 [size=\"88414720\", alpha=\"0.13\", expect_size=\"35365888\"] \n  8 -> 20 [size =\"35365888\"]\n  8 -> 20 [size =\"35365888\"]\n  8 -> 21 [size =\"35365888\"]\n  9 [size=\"87800320\", alpha=\"0.04\", expect_size=\"35120128\"] \n  9 -> 20 [size =\"35120128\"]\n  9 -> 21 [size =\"35120128\"]\n  9 -> 24 [size =\"35120128\"]\n  9 -> 26 [size =\"35120128\"]\n  10 [size=\"62159360\", alpha=\"0.02\", expect_size=\"24863744\"] \n  10 -> 17 [size =\"24863744\"]\n  10 -> 18 [size =\"24863744\"]\n  10 -> 20 [size =\"24863744\"]\n  10 -> 24 [size =\"24863744\"]\n  11 [size=\"85076480\", alpha=\"0.16\", expect_size=\"34030592\"] \n  11 -> 21 [size =\"34030592\"]\n  11 -> 23 [size =\"34030592\"]\n  11 -> 24 [size =\"34030592\"]\n  12 [size=\"125696000\", alpha=\"0.01\", expect_size=\"50278400\"] \n  12 -> 20 [size =\"50278400\"]\n  12 -> 22 [size =\"50278400\"]\n  12 -> 24 [size =\"50278400\"]\n  13 [size=\"82944000\", alpha=\"0.05\", expect_size=\"33177600\"] \n  13 -> 20 [size =\"33177600\"]\n  14 [size=\"52887040\", alpha=\"0.03\", expect_size=\"21154816\"] \n  14 -> 17 [size =\"21154816\"]\n  14 -> 18 [size =\"21154816\"]\n  14 -> 19 [size =\"21154816\"]\n  14 -> 20 [size =\"21154816\"]\n  14 -> 24 [size =\"21154816\"]\n  14 -> 26 [size =\"21154816\"]\n  15 [size=\"30725120\", alpha=\"0.02\", expect_size=\"12290048\"] \n  15 -> 20 [size =\"12290048\"]\n  15 -> 26 [size =\"12290048\"]\n  16 [size=\"84459520\", alpha=\"0.12\", expect_size=\"33783808\"] \n  16 -> 18 [size =\"33783808\"]\n  16 -> 24 [size =\"33783808\"]\n  17 [size=\"47667200\", alpha=\"0.14\", expect_size=\"19066880\"] \n  17 -> 27 [size =\"19066880\"]\n  17 -> 30 [size =\"19066880\"]\n  17 -> 32 [size =\"19066880\"]\n  17 -> 33 [size =\"19066880\"]\n  17 -> 34 [size =\"19066880\"]\n  17 -> 37 [size =\"19066880\"]\n  17 -> 39 [size =\"19066880\"]\n  17 -> 40 [size =\"19066880\"]\n  17 -> 41 [size =\"19066880\"]\n  17 -> 42 [size =\"19066880\"]\n  17 -> 43 [size =\"19066880\"]\n  18 [size=\"111956480\", alpha=\"0.02\", expect_size=\"44782592\"] \n  18 -> 28 [size =\"44782592\"]\n  18 -> 30 [size =\"44782592\"]\n  18 -> 33 [size =\"44782592\"]\n  18 -> 36 [size =\"44782592\"]\n  18 -> 39 [size =\"44782592\"]\n  18 -> 40 [size =\"44782592\"]\n  18 -> 41 [size =\"44782592\"]\n  18 -> 42 [size =\"44782592\"]\n  18 -> 43 [size =\"44782592\"]\n  19 [size=\"73405440\", alpha=\"0.01\", expect_size=\"29362176\"] \n  19 -> 27 [size =\"29362176\"]\n  19 -> 28 [size =\"29362176\"]\n  19 -> 30 [size =\"29362176\"]\n  19 -> 32 [size =\"29362176\"]\n  19 -> 39 [size =\"29362176\"]\n  19 -> 41 [size =\"29362176\"]\n  19 -> 42 [size =\"29362176\"]\n  19 -> 42 [size =\"29362176\"]\n  20 [size=\"99392000\", alpha=\"0.03\", expect_size=\"39756800\"] \n  20 -> 27 [size =\"39756800\"]\n  20 -> 28 [size =\"39756800\"]\n  20 -> 30 [size =\"39756800\"]\n  20 -> 32 [size =\"39756800\"]\n  20 -> 37 [size =\"39756800\"]\n  20 -> 39 [size =\"39756800\"]\n  21 [size=\"113774080\", alpha=\"0.17\", expect_size=\"45509632\"] \n  21 -> 27 [size =\"45509632\"]\n  21 -> 28 [size =\"45509632\"]\n  21 -> 29 [size =\"45509632\"]\n  21 -> 30 [size =\"45509632\"]\n  21 -> 32 [size =\"45509632\"]\n  21 -> 33 [size =\"45509632\"]\n  21 -> 37 [size =\"45509632\"]\n  21 -> 39 [size =\"45509632\"]\n  21 -> 40 [size =\"45509632\"]\n  21 -> 41 [size =\"45509632\"]\n  22 [size=\"88440320\", alpha=\"0.19\", expect_size=\"35376128\"] \n  22 -> 28 [size =\"35376128\"]\n  22 -> 29 [size =\"35376128\"]\n  22 -> 30 [size =\"35376128\"]\n  22 -> 31 [size =\"35376128\"]\n  22 -> 33 [size =\"35376128\"]\n  22 -> 37 [size =\"35376128\"]\n  22 -> 37 [size =\"35376128\"]\n  22 -> 38 [size =\"35376128\"]\n  22 -> 39 [size =\"35376128\"]\n  22 -> 43 [size =\"35376128\"]\n  23 [size=\"91691520\", alpha=\"0.12\", expect_size=\"36676608\"] \n  23 -> 27 [size =\"36676608\"]\n  23 -> 29 [size =\"36676608\"]\n  23 -> 30 [size =\"36676608\"]\n  23 -> 32 [size =\"36676608\"]\n  23 -> 33 [size =\"36676608\"]\n  23 -> 39 [size =\"36676608\"]\n  23 -> 42 [size =\"36676608\"]\n  23 -> 43 [size =\"36676608\"]\n  24 [size=\"121809920\", alpha=\"0.18\", expect_size=\"48723968\"] \n  24 -> 28 [size =\"48723968\"]\n  24 -> 33 [size =\"48723968\"]\n  24 -> 35 [size =\"48723968\"]\n  24 -> 36 [size =\"48723968\"]\n  24 -> 42 [size =\"48723968\"]\n  24 -> 43 [size =\"48723968\"]\n  25 [size=\"19430400\", alpha=\"0.02\", expect_size=\"7772160\"] \n  25 -> 27 [size =\"7772160\"]\n  25 -> 32 [size =\"7772160\"]\n  25 -> 36 [size =\"7772160\"]\n  25 -> 41 [size =\"7772160\"]\n  25 -> 42 [size =\"7772160\"]\n  25 -> 43 [size =\"7772160\"]\n  26 [size=\"28631040\", alpha=\"0.00\", expect_size=\"11452416\"] \n  26 -> 27 [size =\"11452416\"]\n  26 -> 28 [size =\"11452416\"]\n  26 -> 29 [size =\"11452416\"]\n  26 -> 30 [size =\"11452416\"]\n  26 -> 32 [size =\"11452416\"]\n  26 -> 33 [size =\"11452416\"]\n  26 -> 37 [size =\"11452416\"]\n  26 -> 40 [size =\"11452416\"]\n  26 -> 41 [size =\"11452416\"]\n  26 -> 42 [size =\"11452416\"]\n  26 -> 43 [size =\"11452416\"]\n  27 [size=\"99256320\", alpha=\"0.18\", expect_size=\"39702528\"] \n  27 -> 44 [size =\"39702528\"]\n  28 [size=\"63616000\", alpha=\"0.09\", expect_size=\"25446400\"] \n  28 -> 44 [size =\"25446400\"]\n  28 -> 45 [size =\"25446400\"]\n  29 [size=\"74682880\", alpha=\"0.12\", expect_size=\"29873152\"] \n  29 -> 44 [size =\"29873152\"]\n  30 [size=\"83002880\", alpha=\"0.04\", expect_size=\"33201152\"] \n  30 -> 44 [size =\"33201152\"]\n  31 [size=\"102456320\", alpha=\"0.08\", expect_size=\"40982528\"] \n  31 -> 44 [size =\"40982528\"]\n  32 [size=\"85987840\", alpha=\"0.11\", expect_size=\"34395136\"] \n  32 -> 44 [size =\"34395136\"]\n  33 [size=\"77263360\", alpha=\"0.05\", expect_size=\"30905344\"] \n  33 -> 44 [size =\"30905344\"]\n  34 [size=\"31308800\", alpha=\"0.07\", expect_size=\"12523520\"] \n  34 -> 45 [size =\"12523520\"]\n  35 [size=\"22353920\", alpha=\"0.11\", expect_size=\"8941568\"] \n  36 [size=\"36185600\", alpha=\"0.08\", expect_size=\"14474240\"] \n  36 -> 45 [size =\"14474240\"]\n  37 [size=\"36828160\", alpha=\"0.11\", expect_size=\"14731264\"] \n  38 [size=\"25187840\", alpha=\"0.10\", expect_size=\"10075136\"] \n  38 -> 44 [size =\"10075136\"]\n  38 -> 45 [size =\"10075136\"]\n  39 [size=\"76577280\", alpha=\"0.19\", expect_size=\"30630912\"] \n  39 -> 45 [size =\"30630912\"]\n  40 [size=\"29760000\", alpha=\"0.03\", expect_size=\"11904000\"] \n  40 -> 44 [size =\"11904000\"]\n  41 [size=\"51755520\", alpha=\"0.05\", expect_size=\"20702208\"] \n  42 [size=\"96568320\", alpha=\"0.18\", expect_size=\"38627328\"] \n  42 -> 44 [size =\"38627328\"]\n  43 [size=\"40860160\", alpha=\"0.06\", expect_size=\"16344064\"] \n  43 -> 44 [size =\"16344064\"]\n  44 [size=\"72435200\", alpha=\"0.11\", expect_size=\"28974080\"] \n  45 [size=\"113105920\", alpha=\"0.18\", expect_size=\"45242368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72021333\", alpha=\"0.03\", expect_size=\"21606400\"] \n  1 -> 8 [size =\"21606400\"]\n  1 -> 9 [size =\"21606400\"]\n  1 -> 10 [size =\"21606400\"]\n  2 [size=\"24337067\", alpha=\"0.14\", expect_size=\"7301120\"] \n  2 -> 9 [size =\"7301120\"]\n  2 -> 10 [size =\"7301120\"]\n  2 -> 11 [size =\"7301120\"]\n  3 [size=\"72598187\", alpha=\"0.05\", expect_size=\"21779456\"] \n  3 -> 9 [size =\"21779456\"]\n  3 -> 10 [size =\"21779456\"]\n  4 [size=\"168915627\", alpha=\"0.00\", expect_size=\"50674688\"] \n  5 [size=\"119958187\", alpha=\"0.08\", expect_size=\"35987456\"] \n  5 -> 7 [size =\"35987456\"]\n  5 -> 8 [size =\"35987456\"]\n  5 -> 12 [size =\"35987456\"]\n  6 [size=\"68546560\", alpha=\"0.12\", expect_size=\"20563968\"] \n  6 -> 7 [size =\"20563968\"]\n  7 [size=\"63962453\", alpha=\"0.06\", expect_size=\"19188736\"] \n  7 -> 16 [size =\"19188736\"]\n  7 -> 18 [size =\"19188736\"]\n  8 [size=\"30143147\", alpha=\"0.06\", expect_size=\"9042944\"] \n  8 -> 15 [size =\"9042944\"]\n  9 [size=\"20596053\", alpha=\"0.13\", expect_size=\"6178816\"] \n  9 -> 14 [size =\"6178816\"]\n  9 -> 16 [size =\"6178816\"]\n  9 -> 17 [size =\"6178816\"]\n  10 [size=\"172199253\", alpha=\"0.14\", expect_size=\"51659776\"] \n  10 -> 13 [size =\"51659776\"]\n  10 -> 14 [size =\"51659776\"]\n  10 -> 17 [size =\"51659776\"]\n  11 [size=\"164959573\", alpha=\"0.10\", expect_size=\"49487872\"] \n  11 -> 13 [size =\"49487872\"]\n  11 -> 17 [size =\"49487872\"]\n  12 [size=\"28187307\", alpha=\"0.11\", expect_size=\"8456192\"] \n  12 -> 13 [size =\"8456192\"]\n  12 -> 16 [size =\"8456192\"]\n  13 [size=\"142127787\", alpha=\"0.05\", expect_size=\"42638336\"] \n  13 -> 19 [size =\"42638336\"]\n  13 -> 20 [size =\"42638336\"]\n  13 -> 21 [size =\"42638336\"]\n  14 [size=\"21473280\", alpha=\"0.02\", expect_size=\"6441984\"] \n  14 -> 21 [size =\"6441984\"]\n  15 [size=\"22637227\", alpha=\"0.08\", expect_size=\"6791168\"] \n  15 -> 19 [size =\"6791168\"]\n  16 [size=\"85575680\", alpha=\"0.17\", expect_size=\"25672704\"] \n  17 [size=\"19790507\", alpha=\"0.18\", expect_size=\"5937152\"] \n  17 -> 19 [size =\"5937152\"]\n  17 -> 20 [size =\"5937152\"]\n  17 -> 21 [size =\"5937152\"]\n  17 -> 22 [size =\"5937152\"]\n  18 [size=\"67051520\", alpha=\"0.07\", expect_size=\"20115456\"] \n  18 -> 22 [size =\"20115456\"]\n  18 -> 23 [size =\"20115456\"]\n  19 [size=\"113742507\", alpha=\"0.06\", expect_size=\"34122752\"] \n  19 -> 24 [size =\"34122752\"]\n  20 [size=\"55197013\", alpha=\"0.06\", expect_size=\"16559104\"] \n  21 [size=\"163710293\", alpha=\"0.14\", expect_size=\"49113088\"] \n  21 -> 28 [size =\"49113088\"]\n  22 [size=\"83770027\", alpha=\"0.03\", expect_size=\"25131008\"] \n  22 -> 26 [size =\"25131008\"]\n  22 -> 29 [size =\"25131008\"]\n  23 [size=\"167673173\", alpha=\"0.18\", expect_size=\"50301952\"] \n  23 -> 25 [size =\"50301952\"]\n  23 -> 27 [size =\"50301952\"]\n  24 [size=\"50892800\", alpha=\"0.13\", expect_size=\"15267840\"] \n  24 -> 31 [size =\"15267840\"]\n  25 [size=\"65146880\", alpha=\"0.01\", expect_size=\"19544064\"] \n  25 -> 30 [size =\"19544064\"]\n  25 -> 34 [size =\"19544064\"]\n  26 [size=\"124368213\", alpha=\"0.15\", expect_size=\"37310464\"] \n  26 -> 30 [size =\"37310464\"]\n  26 -> 31 [size =\"37310464\"]\n  26 -> 32 [size =\"37310464\"]\n  26 -> 34 [size =\"37310464\"]\n  27 [size=\"103563947\", alpha=\"0.15\", expect_size=\"31069184\"] \n  27 -> 30 [size =\"31069184\"]\n  28 [size=\"90371413\", alpha=\"0.17\", expect_size=\"27111424\"] \n  28 -> 33 [size =\"27111424\"]\n  29 [size=\"145281707\", alpha=\"0.19\", expect_size=\"43584512\"] \n  29 -> 32 [size =\"43584512\"]\n  29 -> 33 [size =\"43584512\"]\n  29 -> 34 [size =\"43584512\"]\n  30 [size=\"32757760\", alpha=\"0.01\", expect_size=\"9827328\"] \n  30 -> 36 [size =\"9827328\"]\n  30 -> 38 [size =\"9827328\"]\n  31 [size=\"83046400\", alpha=\"0.02\", expect_size=\"24913920\"] \n  31 -> 39 [size =\"24913920\"]\n  32 [size=\"36113067\", alpha=\"0.04\", expect_size=\"10833920\"] \n  32 -> 39 [size =\"10833920\"]\n  33 [size=\"56108373\", alpha=\"0.02\", expect_size=\"16832512\"] \n  33 -> 35 [size =\"16832512\"]\n  33 -> 37 [size =\"16832512\"]\n  33 -> 38 [size =\"16832512\"]\n  34 [size=\"40867840\", alpha=\"0.20\", expect_size=\"12260352\"] \n  34 -> 35 [size =\"12260352\"]\n  34 -> 37 [size =\"12260352\"]\n  34 -> 38 [size =\"12260352\"]\n  35 [size=\"141834240\", alpha=\"0.19\", expect_size=\"42550272\"] \n  35 -> 41 [size =\"42550272\"]\n  35 -> 42 [size =\"42550272\"]\n  36 [size=\"146920107\", alpha=\"0.07\", expect_size=\"44076032\"] \n  36 -> 40 [size =\"44076032\"]\n  36 -> 43 [size =\"44076032\"]\n  37 [size=\"107192320\", alpha=\"0.15\", expect_size=\"32157696\"] \n  37 -> 40 [size =\"32157696\"]\n  38 [size=\"69143893\", alpha=\"0.09\", expect_size=\"20743168\"] \n  38 -> 41 [size =\"20743168\"]\n  39 [size=\"45441707\", alpha=\"0.15\", expect_size=\"13632512\"] \n  39 -> 41 [size =\"13632512\"]\n  39 -> 44 [size =\"13632512\"]\n  39 -> 45 [size =\"13632512\"]\n  40 [size=\"39208960\", alpha=\"0.07\", expect_size=\"11762688\"] \n  41 [size=\"47885653\", alpha=\"0.17\", expect_size=\"14365696\"] \n  42 [size=\"61665280\", alpha=\"0.15\", expect_size=\"18499584\"] \n  43 [size=\"91265707\", alpha=\"0.13\", expect_size=\"27379712\"] \n  44 [size=\"104048640\", alpha=\"0.14\", expect_size=\"31214592\"] \n  45 [size=\"104014507\", alpha=\"0.02\", expect_size=\"31204352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105349120\", alpha=\"0.16\", expect_size=\"42139648\"] \n  1 -> 4 [size =\"42139648\"]\n  1 -> 5 [size =\"42139648\"]\n  2 [size=\"77998080\", alpha=\"0.00\", expect_size=\"31199232\"] \n  2 -> 5 [size =\"31199232\"]\n  2 -> 6 [size =\"31199232\"]\n  3 [size=\"36139520\", alpha=\"0.19\", expect_size=\"14455808\"] \n  3 -> 5 [size =\"14455808\"]\n  3 -> 6 [size =\"14455808\"]\n  4 [size=\"93900800\", alpha=\"0.13\", expect_size=\"37560320\"] \n  4 -> 7 [size =\"37560320\"]\n  5 [size=\"65743360\", alpha=\"0.03\", expect_size=\"26297344\"] \n  5 -> 7 [size =\"26297344\"]\n  6 [size=\"45340160\", alpha=\"0.08\", expect_size=\"18136064\"] \n  6 -> 7 [size =\"18136064\"]\n  7 [size=\"49850880\", alpha=\"0.18\", expect_size=\"19940352\"] \n  7 -> 8 [size =\"19940352\"]\n  7 -> 9 [size =\"19940352\"]\n  8 [size=\"66664960\", alpha=\"0.04\", expect_size=\"26665984\"] \n  8 -> 10 [size =\"26665984\"]\n  8 -> 11 [size =\"26665984\"]\n  8 -> 12 [size =\"26665984\"]\n  9 [size=\"104394240\", alpha=\"0.07\", expect_size=\"41757696\"] \n  9 -> 10 [size =\"41757696\"]\n  9 -> 11 [size =\"41757696\"]\n  10 [size=\"55610880\", alpha=\"0.01\", expect_size=\"22244352\"] \n  10 -> 14 [size =\"22244352\"]\n  10 -> 15 [size =\"22244352\"]\n  11 [size=\"34324480\", alpha=\"0.19\", expect_size=\"13729792\"] \n  11 -> 13 [size =\"13729792\"]\n  11 -> 14 [size =\"13729792\"]\n  11 -> 15 [size =\"13729792\"]\n  12 [size=\"127756800\", alpha=\"0.17\", expect_size=\"51102720\"] \n  12 -> 13 [size =\"51102720\"]\n  12 -> 14 [size =\"51102720\"]\n  12 -> 15 [size =\"51102720\"]\n  13 [size=\"130572800\", alpha=\"0.06\", expect_size=\"52229120\"] \n  13 -> 16 [size =\"52229120\"]\n  14 [size=\"126530560\", alpha=\"0.18\", expect_size=\"50612224\"] \n  14 -> 16 [size =\"50612224\"]\n  15 [size=\"88166400\", alpha=\"0.13\", expect_size=\"35266560\"] \n  15 -> 17 [size =\"35266560\"]\n  16 [size=\"104791040\", alpha=\"0.19\", expect_size=\"41916416\"] \n  16 -> 18 [size =\"41916416\"]\n  17 [size=\"36262400\", alpha=\"0.13\", expect_size=\"14504960\"] \n  17 -> 18 [size =\"14504960\"]\n  18 [size=\"22453760\", alpha=\"0.05\", expect_size=\"8981504\"] \n  18 -> 19 [size =\"8981504\"]\n  18 -> 20 [size =\"8981504\"]\n  19 [size=\"48222720\", alpha=\"0.03\", expect_size=\"19289088\"] \n  19 -> 22 [size =\"19289088\"]\n  20 [size=\"89638400\", alpha=\"0.01\", expect_size=\"35855360\"] \n  20 -> 21 [size =\"35855360\"]\n  20 -> 22 [size =\"35855360\"]\n  21 [size=\"96458240\", alpha=\"0.14\", expect_size=\"38583296\"] \n  21 -> 23 [size =\"38583296\"]\n  22 [size=\"88998400\", alpha=\"0.19\", expect_size=\"35599360\"] \n  23 [size=\"73510400\", alpha=\"0.07\", expect_size=\"29404160\"] \n  23 -> 24 [size =\"29404160\"]\n  23 -> 25 [size =\"29404160\"]\n  23 -> 26 [size =\"29404160\"]\n  23 -> 27 [size =\"29404160\"]\n  24 [size=\"107233280\", alpha=\"0.09\", expect_size=\"42893312\"] \n  24 -> 28 [size =\"42893312\"]\n  24 -> 29 [size =\"42893312\"]\n  25 [size=\"98298880\", alpha=\"0.20\", expect_size=\"39319552\"] \n  25 -> 28 [size =\"39319552\"]\n  25 -> 29 [size =\"39319552\"]\n  26 [size=\"58792960\", alpha=\"0.16\", expect_size=\"23517184\"] \n  27 [size=\"51819520\", alpha=\"0.19\", expect_size=\"20727808\"] \n  28 [size=\"130498560\", alpha=\"0.11\", expect_size=\"52199424\"] \n  28 -> 31 [size =\"52199424\"]\n  29 [size=\"42222080\", alpha=\"0.18\", expect_size=\"16888832\"] \n  29 -> 30 [size =\"16888832\"]\n  29 -> 31 [size =\"16888832\"]\n  30 [size=\"61056000\", alpha=\"0.12\", expect_size=\"24422400\"] \n  30 -> 32 [size =\"24422400\"]\n  30 -> 33 [size =\"24422400\"]\n  31 [size=\"66580480\", alpha=\"0.10\", expect_size=\"26632192\"] \n  31 -> 33 [size =\"26632192\"]\n  32 [size=\"33075200\", alpha=\"0.07\", expect_size=\"13230080\"] \n  32 -> 34 [size =\"13230080\"]\n  33 [size=\"25428480\", alpha=\"0.05\", expect_size=\"10171392\"] \n  33 -> 34 [size =\"10171392\"]\n  34 [size=\"66675200\", alpha=\"0.01\", expect_size=\"26670080\"] \n  34 -> 35 [size =\"26670080\"]\n  34 -> 36 [size =\"26670080\"]\n  34 -> 37 [size =\"26670080\"]\n  35 [size=\"119641600\", alpha=\"0.11\", expect_size=\"47856640\"] \n  35 -> 38 [size =\"47856640\"]\n  35 -> 40 [size =\"47856640\"]\n  35 -> 41 [size =\"47856640\"]\n  36 [size=\"119004160\", alpha=\"0.15\", expect_size=\"47601664\"] \n  36 -> 38 [size =\"47601664\"]\n  36 -> 39 [size =\"47601664\"]\n  36 -> 41 [size =\"47601664\"]\n  37 [size=\"96995840\", alpha=\"0.04\", expect_size=\"38798336\"] \n  37 -> 38 [size =\"38798336\"]\n  37 -> 41 [size =\"38798336\"]\n  38 [size=\"90360320\", alpha=\"0.15\", expect_size=\"36144128\"] \n  38 -> 42 [size =\"36144128\"]\n  38 -> 43 [size =\"36144128\"]\n  38 -> 44 [size =\"36144128\"]\n  39 [size=\"34695680\", alpha=\"0.11\", expect_size=\"13878272\"] \n  39 -> 42 [size =\"13878272\"]\n  39 -> 44 [size =\"13878272\"]\n  40 [size=\"21288960\", alpha=\"0.00\", expect_size=\"8515584\"] \n  40 -> 42 [size =\"8515584\"]\n  40 -> 43 [size =\"8515584\"]\n  41 [size=\"92646400\", alpha=\"0.03\", expect_size=\"37058560\"] \n  41 -> 44 [size =\"37058560\"]\n  42 [size=\"34050560\", alpha=\"0.20\", expect_size=\"13620224\"] \n  43 [size=\"78123520\", alpha=\"0.06\", expect_size=\"31249408\"] \n  44 [size=\"106401280\", alpha=\"0.09\", expect_size=\"42560512\"] \n  44 -> 45 [size =\"42560512\"]\n  45 [size=\"114344960\", alpha=\"0.06\", expect_size=\"45737984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77647872\", alpha=\"0.04\", expect_size=\"38823936\"] \n  1 -> 38 [size =\"38823936\"]\n  1 -> 39 [size =\"38823936\"]\n  1 -> 40 [size =\"38823936\"]\n  1 -> 41 [size =\"38823936\"]\n  1 -> 42 [size =\"38823936\"]\n  1 -> 43 [size =\"38823936\"]\n  2 [size=\"103086080\", alpha=\"0.13\", expect_size=\"51543040\"] \n  2 -> 38 [size =\"51543040\"]\n  2 -> 39 [size =\"51543040\"]\n  2 -> 41 [size =\"51543040\"]\n  2 -> 42 [size =\"51543040\"]\n  2 -> 45 [size =\"51543040\"]\n  3 [size=\"16795648\", alpha=\"0.03\", expect_size=\"8397824\"] \n  3 -> 38 [size =\"8397824\"]\n  3 -> 39 [size =\"8397824\"]\n  4 [size=\"28329984\", alpha=\"0.19\", expect_size=\"14164992\"] \n  4 -> 38 [size =\"14164992\"]\n  4 -> 39 [size =\"14164992\"]\n  4 -> 45 [size =\"14164992\"]\n  5 [size=\"87351296\", alpha=\"0.19\", expect_size=\"43675648\"] \n  5 -> 38 [size =\"43675648\"]\n  5 -> 39 [size =\"43675648\"]\n  5 -> 41 [size =\"43675648\"]\n  5 -> 43 [size =\"43675648\"]\n  5 -> 45 [size =\"43675648\"]\n  6 [size=\"12118016\", alpha=\"0.13\", expect_size=\"6059008\"] \n  6 -> 38 [size =\"6059008\"]\n  6 -> 39 [size =\"6059008\"]\n  7 [size=\"51836928\", alpha=\"0.04\", expect_size=\"25918464\"] \n  7 -> 38 [size =\"25918464\"]\n  7 -> 39 [size =\"25918464\"]\n  7 -> 43 [size =\"25918464\"]\n  7 -> 44 [size =\"25918464\"]\n  8 [size=\"39374848\", alpha=\"0.00\", expect_size=\"19687424\"] \n  8 -> 38 [size =\"19687424\"]\n  8 -> 44 [size =\"19687424\"]\n  9 [size=\"22882304\", alpha=\"0.13\", expect_size=\"11441152\"] \n  9 -> 38 [size =\"11441152\"]\n  9 -> 39 [size =\"11441152\"]\n  10 [size=\"89049088\", alpha=\"0.12\", expect_size=\"44524544\"] \n  10 -> 38 [size =\"44524544\"]\n  10 -> 39 [size =\"44524544\"]\n  10 -> 41 [size =\"44524544\"]\n  10 -> 42 [size =\"44524544\"]\n  10 -> 43 [size =\"44524544\"]\n  10 -> 44 [size =\"44524544\"]\n  10 -> 45 [size =\"44524544\"]\n  11 [size=\"50497536\", alpha=\"0.14\", expect_size=\"25248768\"] \n  11 -> 38 [size =\"25248768\"]\n  11 -> 41 [size =\"25248768\"]\n  11 -> 41 [size =\"25248768\"]\n  11 -> 42 [size =\"25248768\"]\n  12 [size=\"69365760\", alpha=\"0.04\", expect_size=\"34682880\"] \n  12 -> 38 [size =\"34682880\"]\n  12 -> 40 [size =\"34682880\"]\n  12 -> 42 [size =\"34682880\"]\n  12 -> 42 [size =\"34682880\"]\n  12 -> 45 [size =\"34682880\"]\n  13 [size=\"34838528\", alpha=\"0.17\", expect_size=\"17419264\"] \n  13 -> 38 [size =\"17419264\"]\n  13 -> 42 [size =\"17419264\"]\n  14 [size=\"50739200\", alpha=\"0.00\", expect_size=\"25369600\"] \n  14 -> 38 [size =\"25369600\"]\n  14 -> 42 [size =\"25369600\"]\n  14 -> 44 [size =\"25369600\"]\n  15 [size=\"44304384\", alpha=\"0.11\", expect_size=\"22152192\"] \n  15 -> 38 [size =\"22152192\"]\n  16 [size=\"40511488\", alpha=\"0.03\", expect_size=\"20255744\"] \n  16 -> 38 [size =\"20255744\"]\n  16 -> 40 [size =\"20255744\"]\n  16 -> 42 [size =\"20255744\"]\n  16 -> 45 [size =\"20255744\"]\n  17 [size=\"102367232\", alpha=\"0.03\", expect_size=\"51183616\"] \n  17 -> 38 [size =\"51183616\"]\n  17 -> 39 [size =\"51183616\"]\n  17 -> 41 [size =\"51183616\"]\n  17 -> 42 [size =\"51183616\"]\n  17 -> 44 [size =\"51183616\"]\n  17 -> 45 [size =\"51183616\"]\n  18 [size=\"28028928\", alpha=\"0.12\", expect_size=\"14014464\"] \n  18 -> 38 [size =\"14014464\"]\n  18 -> 39 [size =\"14014464\"]\n  18 -> 41 [size =\"14014464\"]\n  18 -> 42 [size =\"14014464\"]\n  18 -> 44 [size =\"14014464\"]\n  19 [size=\"28030976\", alpha=\"0.18\", expect_size=\"14015488\"] \n  19 -> 38 [size =\"14015488\"]\n  19 -> 39 [size =\"14015488\"]\n  19 -> 42 [size =\"14015488\"]\n  19 -> 43 [size =\"14015488\"]\n  20 [size=\"91420672\", alpha=\"0.06\", expect_size=\"45710336\"] \n  20 -> 38 [size =\"45710336\"]\n  20 -> 39 [size =\"45710336\"]\n  20 -> 42 [size =\"45710336\"]\n  20 -> 45 [size =\"45710336\"]\n  21 [size=\"53813248\", alpha=\"0.08\", expect_size=\"26906624\"] \n  21 -> 38 [size =\"26906624\"]\n  21 -> 39 [size =\"26906624\"]\n  21 -> 41 [size =\"26906624\"]\n  21 -> 42 [size =\"26906624\"]\n  21 -> 45 [size =\"26906624\"]\n  22 [size=\"26687488\", alpha=\"0.10\", expect_size=\"13343744\"] \n  22 -> 41 [size =\"13343744\"]\n  22 -> 42 [size =\"13343744\"]\n  22 -> 44 [size =\"13343744\"]\n  23 [size=\"47292416\", alpha=\"0.13\", expect_size=\"23646208\"] \n  23 -> 38 [size =\"23646208\"]\n  23 -> 41 [size =\"23646208\"]\n  23 -> 42 [size =\"23646208\"]\n  23 -> 45 [size =\"23646208\"]\n  24 [size=\"33904640\", alpha=\"0.20\", expect_size=\"16952320\"] \n  24 -> 38 [size =\"16952320\"]\n  24 -> 39 [size =\"16952320\"]\n  24 -> 42 [size =\"16952320\"]\n  25 [size=\"34287616\", alpha=\"0.03\", expect_size=\"17143808\"] \n  25 -> 38 [size =\"17143808\"]\n  25 -> 40 [size =\"17143808\"]\n  25 -> 42 [size =\"17143808\"]\n  25 -> 44 [size =\"17143808\"]\n  25 -> 45 [size =\"17143808\"]\n  26 [size=\"87625728\", alpha=\"0.06\", expect_size=\"43812864\"] \n  26 -> 42 [size =\"43812864\"]\n  26 -> 43 [size =\"43812864\"]\n  26 -> 44 [size =\"43812864\"]\n  26 -> 45 [size =\"43812864\"]\n  27 [size=\"103612416\", alpha=\"0.18\", expect_size=\"51806208\"] \n  27 -> 43 [size =\"51806208\"]\n  28 [size=\"25272320\", alpha=\"0.17\", expect_size=\"12636160\"] \n  28 -> 39 [size =\"12636160\"]\n  28 -> 44 [size =\"12636160\"]\n  29 [size=\"79679488\", alpha=\"0.18\", expect_size=\"39839744\"] \n  29 -> 44 [size =\"39839744\"]\n  30 [size=\"70531072\", alpha=\"0.15\", expect_size=\"35265536\"] \n  30 -> 39 [size =\"35265536\"]\n  30 -> 45 [size =\"35265536\"]\n  31 [size=\"98390016\", alpha=\"0.01\", expect_size=\"49195008\"] \n  31 -> 39 [size =\"49195008\"]\n  31 -> 40 [size =\"49195008\"]\n  31 -> 42 [size =\"49195008\"]\n  31 -> 45 [size =\"49195008\"]\n  32 [size=\"41678848\", alpha=\"0.20\", expect_size=\"20839424\"] \n  32 -> 39 [size =\"20839424\"]\n  32 -> 40 [size =\"20839424\"]\n  33 [size=\"87369728\", alpha=\"0.04\", expect_size=\"43684864\"] \n  33 -> 38 [size =\"43684864\"]\n  33 -> 39 [size =\"43684864\"]\n  33 -> 42 [size =\"43684864\"]\n  33 -> 45 [size =\"43684864\"]\n  34 [size=\"53030912\", alpha=\"0.16\", expect_size=\"26515456\"] \n  34 -> 38 [size =\"26515456\"]\n  34 -> 39 [size =\"26515456\"]\n  34 -> 44 [size =\"26515456\"]\n  35 [size=\"50878464\", alpha=\"0.15\", expect_size=\"25439232\"] \n  35 -> 38 [size =\"25439232\"]\n  35 -> 39 [size =\"25439232\"]\n  35 -> 40 [size =\"25439232\"]\n  35 -> 42 [size =\"25439232\"]\n  35 -> 43 [size =\"25439232\"]\n  35 -> 44 [size =\"25439232\"]\n  35 -> 45 [size =\"25439232\"]\n  36 [size=\"63408128\", alpha=\"0.01\", expect_size=\"31704064\"] \n  36 -> 38 [size =\"31704064\"]\n  36 -> 39 [size =\"31704064\"]\n  36 -> 42 [size =\"31704064\"]\n  36 -> 43 [size =\"31704064\"]\n  36 -> 44 [size =\"31704064\"]\n  36 -> 44 [size =\"31704064\"]\n  37 [size=\"92252160\", alpha=\"0.06\", expect_size=\"46126080\"] \n  37 -> 38 [size =\"46126080\"]\n  37 -> 39 [size =\"46126080\"]\n  37 -> 42 [size =\"46126080\"]\n  37 -> 44 [size =\"46126080\"]\n  38 [size=\"84389888\", alpha=\"0.15\", expect_size=\"42194944\"] \n  39 [size=\"68712448\", alpha=\"0.08\", expect_size=\"34356224\"] \n  40 [size=\"57616384\", alpha=\"0.18\", expect_size=\"28808192\"] \n  41 [size=\"35295232\", alpha=\"0.17\", expect_size=\"17647616\"] \n  42 [size=\"41762816\", alpha=\"0.20\", expect_size=\"20881408\"] \n  43 [size=\"41527296\", alpha=\"0.10\", expect_size=\"20763648\"] \n  44 [size=\"58945536\", alpha=\"0.05\", expect_size=\"29472768\"] \n  45 [size=\"39897088\", alpha=\"0.05\", expect_size=\"19948544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144517120\", alpha=\"0.00\", expect_size=\"43355136\"] \n  1 -> 7 [size =\"43355136\"]\n  1 -> 10 [size =\"43355136\"]\n  1 -> 11 [size =\"43355136\"]\n  2 [size=\"87780693\", alpha=\"0.16\", expect_size=\"26334208\"] \n  2 -> 7 [size =\"26334208\"]\n  3 [size=\"92781227\", alpha=\"0.01\", expect_size=\"27834368\"] \n  3 -> 7 [size =\"27834368\"]\n  3 -> 8 [size =\"27834368\"]\n  3 -> 9 [size =\"27834368\"]\n  4 [size=\"173038933\", alpha=\"0.12\", expect_size=\"51911680\"] \n  4 -> 7 [size =\"51911680\"]\n  4 -> 11 [size =\"51911680\"]\n  5 [size=\"113022293\", alpha=\"0.11\", expect_size=\"33906688\"] \n  5 -> 7 [size =\"33906688\"]\n  6 [size=\"153456640\", alpha=\"0.11\", expect_size=\"46036992\"] \n  6 -> 7 [size =\"46036992\"]\n  6 -> 11 [size =\"46036992\"]\n  7 [size=\"130181120\", alpha=\"0.19\", expect_size=\"39054336\"] \n  7 -> 12 [size =\"39054336\"]\n  7 -> 13 [size =\"39054336\"]\n  7 -> 17 [size =\"39054336\"]\n  8 [size=\"36922027\", alpha=\"0.08\", expect_size=\"11076608\"] \n  8 -> 12 [size =\"11076608\"]\n  8 -> 13 [size =\"11076608\"]\n  8 -> 14 [size =\"11076608\"]\n  8 -> 16 [size =\"11076608\"]\n  8 -> 17 [size =\"11076608\"]\n  9 [size=\"165512533\", alpha=\"0.09\", expect_size=\"49653760\"] \n  9 -> 12 [size =\"49653760\"]\n  9 -> 13 [size =\"49653760\"]\n  9 -> 16 [size =\"49653760\"]\n  9 -> 18 [size =\"49653760\"]\n  10 [size=\"74861227\", alpha=\"0.13\", expect_size=\"22458368\"] \n  10 -> 12 [size =\"22458368\"]\n  10 -> 15 [size =\"22458368\"]\n  10 -> 17 [size =\"22458368\"]\n  11 [size=\"24357547\", alpha=\"0.17\", expect_size=\"7307264\"] \n  11 -> 12 [size =\"7307264\"]\n  11 -> 14 [size =\"7307264\"]\n  11 -> 15 [size =\"7307264\"]\n  11 -> 16 [size =\"7307264\"]\n  11 -> 17 [size =\"7307264\"]\n  11 -> 18 [size =\"7307264\"]\n  12 [size=\"26600107\", alpha=\"0.08\", expect_size=\"7980032\"] \n  12 -> 19 [size =\"7980032\"]\n  12 -> 20 [size =\"7980032\"]\n  12 -> 21 [size =\"7980032\"]\n  12 -> 22 [size =\"7980032\"]\n  12 -> 23 [size =\"7980032\"]\n  13 [size=\"152340480\", alpha=\"0.14\", expect_size=\"45702144\"] \n  13 -> 19 [size =\"45702144\"]\n  13 -> 21 [size =\"45702144\"]\n  13 -> 22 [size =\"45702144\"]\n  14 [size=\"159880533\", alpha=\"0.14\", expect_size=\"47964160\"] \n  14 -> 19 [size =\"47964160\"]\n  14 -> 20 [size =\"47964160\"]\n  14 -> 21 [size =\"47964160\"]\n  14 -> 22 [size =\"47964160\"]\n  14 -> 23 [size =\"47964160\"]\n  15 [size=\"94675627\", alpha=\"0.16\", expect_size=\"28402688\"] \n  15 -> 19 [size =\"28402688\"]\n  15 -> 20 [size =\"28402688\"]\n  15 -> 21 [size =\"28402688\"]\n  15 -> 23 [size =\"28402688\"]\n  15 -> 23 [size =\"28402688\"]\n  16 [size=\"24111787\", alpha=\"0.05\", expect_size=\"7233536\"] \n  16 -> 19 [size =\"7233536\"]\n  16 -> 21 [size =\"7233536\"]\n  16 -> 22 [size =\"7233536\"]\n  16 -> 23 [size =\"7233536\"]\n  17 [size=\"111301973\", alpha=\"0.02\", expect_size=\"33390592\"] \n  17 -> 19 [size =\"33390592\"]\n  17 -> 20 [size =\"33390592\"]\n  17 -> 22 [size =\"33390592\"]\n  17 -> 23 [size =\"33390592\"]\n  18 [size=\"105649493\", alpha=\"0.12\", expect_size=\"31694848\"] \n  18 -> 20 [size =\"31694848\"]\n  18 -> 20 [size =\"31694848\"]\n  18 -> 22 [size =\"31694848\"]\n  19 [size=\"165748053\", alpha=\"0.07\", expect_size=\"49724416\"] \n  19 -> 25 [size =\"49724416\"]\n  19 -> 26 [size =\"49724416\"]\n  19 -> 27 [size =\"49724416\"]\n  20 [size=\"79298560\", alpha=\"0.07\", expect_size=\"23789568\"] \n  20 -> 25 [size =\"23789568\"]\n  20 -> 26 [size =\"23789568\"]\n  20 -> 27 [size =\"23789568\"]\n  21 [size=\"28139520\", alpha=\"0.03\", expect_size=\"8441856\"] \n  21 -> 25 [size =\"8441856\"]\n  21 -> 27 [size =\"8441856\"]\n  22 [size=\"163744427\", alpha=\"0.07\", expect_size=\"49123328\"] \n  22 -> 24 [size =\"49123328\"]\n  22 -> 25 [size =\"49123328\"]\n  22 -> 27 [size =\"49123328\"]\n  23 [size=\"68942507\", alpha=\"0.01\", expect_size=\"20682752\"] \n  23 -> 25 [size =\"20682752\"]\n  23 -> 27 [size =\"20682752\"]\n  24 [size=\"24859307\", alpha=\"0.15\", expect_size=\"7457792\"] \n  24 -> 28 [size =\"7457792\"]\n  24 -> 29 [size =\"7457792\"]\n  24 -> 31 [size =\"7457792\"]\n  24 -> 32 [size =\"7457792\"]\n  25 [size=\"134628693\", alpha=\"0.02\", expect_size=\"40388608\"] \n  25 -> 28 [size =\"40388608\"]\n  25 -> 30 [size =\"40388608\"]\n  25 -> 31 [size =\"40388608\"]\n  26 [size=\"105424213\", alpha=\"0.05\", expect_size=\"31627264\"] \n  26 -> 30 [size =\"31627264\"]\n  26 -> 31 [size =\"31627264\"]\n  27 [size=\"148022613\", alpha=\"0.03\", expect_size=\"44406784\"] \n  27 -> 32 [size =\"44406784\"]\n  28 [size=\"167639040\", alpha=\"0.03\", expect_size=\"50291712\"] \n  28 -> 33 [size =\"50291712\"]\n  28 -> 34 [size =\"50291712\"]\n  28 -> 35 [size =\"50291712\"]\n  28 -> 36 [size =\"50291712\"]\n  28 -> 37 [size =\"50291712\"]\n  29 [size=\"108526933\", alpha=\"0.02\", expect_size=\"32558080\"] \n  29 -> 33 [size =\"32558080\"]\n  29 -> 34 [size =\"32558080\"]\n  29 -> 36 [size =\"32558080\"]\n  29 -> 37 [size =\"32558080\"]\n  30 [size=\"167321600\", alpha=\"0.08\", expect_size=\"50196480\"] \n  30 -> 33 [size =\"50196480\"]\n  30 -> 34 [size =\"50196480\"]\n  30 -> 35 [size =\"50196480\"]\n  30 -> 36 [size =\"50196480\"]\n  31 [size=\"65071787\", alpha=\"0.16\", expect_size=\"19521536\"] \n  31 -> 34 [size =\"19521536\"]\n  31 -> 37 [size =\"19521536\"]\n  32 [size=\"86114987\", alpha=\"0.04\", expect_size=\"25834496\"] \n  32 -> 33 [size =\"25834496\"]\n  32 -> 34 [size =\"25834496\"]\n  32 -> 35 [size =\"25834496\"]\n  32 -> 36 [size =\"25834496\"]\n  32 -> 37 [size =\"25834496\"]\n  33 [size=\"143462400\", alpha=\"0.09\", expect_size=\"43038720\"] \n  33 -> 38 [size =\"43038720\"]\n  33 -> 39 [size =\"43038720\"]\n  33 -> 41 [size =\"43038720\"]\n  34 [size=\"155139413\", alpha=\"0.13\", expect_size=\"46541824\"] \n  34 -> 38 [size =\"46541824\"]\n  34 -> 40 [size =\"46541824\"]\n  34 -> 41 [size =\"46541824\"]\n  35 [size=\"119415467\", alpha=\"0.07\", expect_size=\"35824640\"] \n  35 -> 38 [size =\"35824640\"]\n  35 -> 40 [size =\"35824640\"]\n  35 -> 42 [size =\"35824640\"]\n  36 [size=\"131843413\", alpha=\"0.01\", expect_size=\"39553024\"] \n  36 -> 38 [size =\"39553024\"]\n  36 -> 41 [size =\"39553024\"]\n  36 -> 42 [size =\"39553024\"]\n  37 [size=\"171117227\", alpha=\"0.07\", expect_size=\"51335168\"] \n  37 -> 38 [size =\"51335168\"]\n  37 -> 41 [size =\"51335168\"]\n  37 -> 42 [size =\"51335168\"]\n  38 [size=\"35372373\", alpha=\"0.04\", expect_size=\"10611712\"] \n  38 -> 43 [size =\"10611712\"]\n  38 -> 44 [size =\"10611712\"]\n  38 -> 45 [size =\"10611712\"]\n  39 [size=\"58624000\", alpha=\"0.01\", expect_size=\"17587200\"] \n  39 -> 44 [size =\"17587200\"]\n  39 -> 45 [size =\"17587200\"]\n  39 -> 45 [size =\"17587200\"]\n  40 [size=\"74338987\", alpha=\"0.05\", expect_size=\"22301696\"] \n  40 -> 43 [size =\"22301696\"]\n  40 -> 44 [size =\"22301696\"]\n  40 -> 45 [size =\"22301696\"]\n  41 [size=\"139905707\", alpha=\"0.10\", expect_size=\"41971712\"] \n  41 -> 43 [size =\"41971712\"]\n  41 -> 44 [size =\"41971712\"]\n  42 [size=\"104922453\", alpha=\"0.15\", expect_size=\"31476736\"] \n  42 -> 44 [size =\"31476736\"]\n  42 -> 45 [size =\"31476736\"]\n  43 [size=\"135796053\", alpha=\"0.05\", expect_size=\"40738816\"] \n  44 [size=\"52824747\", alpha=\"0.17\", expect_size=\"15847424\"] \n  45 [size=\"155695787\", alpha=\"0.03\", expect_size=\"46708736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140707840\", alpha=\"0.14\", expect_size=\"42212352\"] \n  1 -> 9 [size =\"42212352\"]\n  2 [size=\"148084053\", alpha=\"0.03\", expect_size=\"44425216\"] \n  2 -> 6 [size =\"44425216\"]\n  2 -> 8 [size =\"44425216\"]\n  2 -> 9 [size =\"44425216\"]\n  2 -> 10 [size =\"44425216\"]\n  3 [size=\"139144533\", alpha=\"0.14\", expect_size=\"41743360\"] \n  3 -> 7 [size =\"41743360\"]\n  3 -> 12 [size =\"41743360\"]\n  4 [size=\"27815253\", alpha=\"0.16\", expect_size=\"8344576\"] \n  4 -> 7 [size =\"8344576\"]\n  4 -> 8 [size =\"8344576\"]\n  4 -> 11 [size =\"8344576\"]\n  4 -> 12 [size =\"8344576\"]\n  5 [size=\"130338133\", alpha=\"0.00\", expect_size=\"39101440\"] \n  5 -> 8 [size =\"39101440\"]\n  5 -> 10 [size =\"39101440\"]\n  5 -> 11 [size =\"39101440\"]\n  5 -> 12 [size =\"39101440\"]\n  6 [size=\"139980800\", alpha=\"0.08\", expect_size=\"41994240\"] \n  6 -> 13 [size =\"41994240\"]\n  6 -> 14 [size =\"41994240\"]\n  6 -> 17 [size =\"41994240\"]\n  6 -> 19 [size =\"41994240\"]\n  6 -> 20 [size =\"41994240\"]\n  7 [size=\"89316693\", alpha=\"0.01\", expect_size=\"26795008\"] \n  7 -> 13 [size =\"26795008\"]\n  7 -> 14 [size =\"26795008\"]\n  7 -> 15 [size =\"26795008\"]\n  7 -> 16 [size =\"26795008\"]\n  7 -> 18 [size =\"26795008\"]\n  7 -> 19 [size =\"26795008\"]\n  8 [size=\"28788053\", alpha=\"0.08\", expect_size=\"8636416\"] \n  8 -> 15 [size =\"8636416\"]\n  8 -> 17 [size =\"8636416\"]\n  8 -> 19 [size =\"8636416\"]\n  9 [size=\"145367040\", alpha=\"0.06\", expect_size=\"43610112\"] \n  9 -> 14 [size =\"43610112\"]\n  9 -> 15 [size =\"43610112\"]\n  9 -> 16 [size =\"43610112\"]\n  9 -> 20 [size =\"43610112\"]\n  10 [size=\"56183467\", alpha=\"0.15\", expect_size=\"16855040\"] \n  10 -> 13 [size =\"16855040\"]\n  10 -> 14 [size =\"16855040\"]\n  10 -> 15 [size =\"16855040\"]\n  10 -> 16 [size =\"16855040\"]\n  10 -> 17 [size =\"16855040\"]\n  11 [size=\"105048747\", alpha=\"0.04\", expect_size=\"31514624\"] \n  11 -> 14 [size =\"31514624\"]\n  11 -> 16 [size =\"31514624\"]\n  11 -> 19 [size =\"31514624\"]\n  12 [size=\"58210987\", alpha=\"0.09\", expect_size=\"17463296\"] \n  12 -> 16 [size =\"17463296\"]\n  12 -> 17 [size =\"17463296\"]\n  12 -> 19 [size =\"17463296\"]\n  13 [size=\"79295147\", alpha=\"0.17\", expect_size=\"23788544\"] \n  13 -> 24 [size =\"23788544\"]\n  13 -> 24 [size =\"23788544\"]\n  13 -> 25 [size =\"23788544\"]\n  13 -> 28 [size =\"23788544\"]\n  14 [size=\"29054293\", alpha=\"0.14\", expect_size=\"8716288\"] \n  14 -> 24 [size =\"8716288\"]\n  14 -> 25 [size =\"8716288\"]\n  14 -> 26 [size =\"8716288\"]\n  14 -> 27 [size =\"8716288\"]\n  15 [size=\"154275840\", alpha=\"0.08\", expect_size=\"46282752\"] \n  15 -> 22 [size =\"46282752\"]\n  15 -> 23 [size =\"46282752\"]\n  15 -> 27 [size =\"46282752\"]\n  16 [size=\"156743680\", alpha=\"0.05\", expect_size=\"47023104\"] \n  16 -> 21 [size =\"47023104\"]\n  16 -> 22 [size =\"47023104\"]\n  16 -> 23 [size =\"47023104\"]\n  16 -> 27 [size =\"47023104\"]\n  16 -> 28 [size =\"47023104\"]\n  17 [size=\"63607467\", alpha=\"0.16\", expect_size=\"19082240\"] \n  17 -> 21 [size =\"19082240\"]\n  17 -> 22 [size =\"19082240\"]\n  17 -> 23 [size =\"19082240\"]\n  17 -> 26 [size =\"19082240\"]\n  17 -> 27 [size =\"19082240\"]\n  17 -> 28 [size =\"19082240\"]\n  18 [size=\"68416853\", alpha=\"0.03\", expect_size=\"20525056\"] \n  18 -> 21 [size =\"20525056\"]\n  18 -> 22 [size =\"20525056\"]\n  18 -> 24 [size =\"20525056\"]\n  18 -> 25 [size =\"20525056\"]\n  18 -> 26 [size =\"20525056\"]\n  18 -> 27 [size =\"20525056\"]\n  18 -> 28 [size =\"20525056\"]\n  19 [size=\"129989973\", alpha=\"0.08\", expect_size=\"38996992\"] \n  19 -> 22 [size =\"38996992\"]\n  19 -> 25 [size =\"38996992\"]\n  19 -> 26 [size =\"38996992\"]\n  19 -> 28 [size =\"38996992\"]\n  20 [size=\"174025387\", alpha=\"0.01\", expect_size=\"52207616\"] \n  20 -> 23 [size =\"52207616\"]\n  20 -> 24 [size =\"52207616\"]\n  20 -> 25 [size =\"52207616\"]\n  21 [size=\"130952533\", alpha=\"0.09\", expect_size=\"39285760\"] \n  21 -> 29 [size =\"39285760\"]\n  21 -> 30 [size =\"39285760\"]\n  21 -> 31 [size =\"39285760\"]\n  22 [size=\"162423467\", alpha=\"0.13\", expect_size=\"48727040\"] \n  22 -> 29 [size =\"48727040\"]\n  22 -> 30 [size =\"48727040\"]\n  22 -> 31 [size =\"48727040\"]\n  23 [size=\"75240107\", alpha=\"0.13\", expect_size=\"22572032\"] \n  23 -> 29 [size =\"22572032\"]\n  23 -> 33 [size =\"22572032\"]\n  24 [size=\"49851733\", alpha=\"0.15\", expect_size=\"14955520\"] \n  24 -> 29 [size =\"14955520\"]\n  24 -> 30 [size =\"14955520\"]\n  24 -> 31 [size =\"14955520\"]\n  24 -> 32 [size =\"14955520\"]\n  24 -> 33 [size =\"14955520\"]\n  25 [size=\"161136640\", alpha=\"0.11\", expect_size=\"48340992\"] \n  26 [size=\"69143893\", alpha=\"0.02\", expect_size=\"20743168\"] \n  26 -> 31 [size =\"20743168\"]\n  27 [size=\"105048747\", alpha=\"0.02\", expect_size=\"31514624\"] \n  27 -> 30 [size =\"31514624\"]\n  27 -> 31 [size =\"31514624\"]\n  27 -> 32 [size =\"31514624\"]\n  28 [size=\"77114027\", alpha=\"0.04\", expect_size=\"23134208\"] \n  28 -> 31 [size =\"23134208\"]\n  28 -> 32 [size =\"23134208\"]\n  28 -> 33 [size =\"23134208\"]\n  29 [size=\"102454613\", alpha=\"0.02\", expect_size=\"30736384\"] \n  29 -> 34 [size =\"30736384\"]\n  29 -> 36 [size =\"30736384\"]\n  29 -> 37 [size =\"30736384\"]\n  30 [size=\"168243200\", alpha=\"0.06\", expect_size=\"50472960\"] \n  30 -> 34 [size =\"50472960\"]\n  30 -> 38 [size =\"50472960\"]\n  31 [size=\"173820587\", alpha=\"0.20\", expect_size=\"52146176\"] \n  31 -> 34 [size =\"52146176\"]\n  31 -> 38 [size =\"52146176\"]\n  32 [size=\"85128533\", alpha=\"0.19\", expect_size=\"25538560\"] \n  32 -> 37 [size =\"25538560\"]\n  33 [size=\"32778240\", alpha=\"0.06\", expect_size=\"9833472\"] \n  33 -> 34 [size =\"9833472\"]\n  33 -> 35 [size =\"9833472\"]\n  33 -> 36 [size =\"9833472\"]\n  33 -> 37 [size =\"9833472\"]\n  34 [size=\"138441387\", alpha=\"0.15\", expect_size=\"41532416\"] \n  34 -> 40 [size =\"41532416\"]\n  34 -> 41 [size =\"41532416\"]\n  34 -> 42 [size =\"41532416\"]\n  35 [size=\"97880747\", alpha=\"0.01\", expect_size=\"29364224\"] \n  35 -> 40 [size =\"29364224\"]\n  35 -> 41 [size =\"29364224\"]\n  35 -> 43 [size =\"29364224\"]\n  36 [size=\"23965013\", alpha=\"0.05\", expect_size=\"7189504\"] \n  36 -> 40 [size =\"7189504\"]\n  36 -> 43 [size =\"7189504\"]\n  37 [size=\"39202133\", alpha=\"0.15\", expect_size=\"11760640\"] \n  37 -> 39 [size =\"11760640\"]\n  37 -> 40 [size =\"11760640\"]\n  37 -> 43 [size =\"11760640\"]\n  38 [size=\"58139307\", alpha=\"0.11\", expect_size=\"17441792\"] \n  38 -> 43 [size =\"17441792\"]\n  39 [size=\"92101973\", alpha=\"0.02\", expect_size=\"27630592\"] \n  39 -> 44 [size =\"27630592\"]\n  39 -> 45 [size =\"27630592\"]\n  40 [size=\"111684267\", alpha=\"0.12\", expect_size=\"33505280\"] \n  40 -> 45 [size =\"33505280\"]\n  41 [size=\"155603627\", alpha=\"0.17\", expect_size=\"46681088\"] \n  41 -> 44 [size =\"46681088\"]\n  42 [size=\"154146133\", alpha=\"0.00\", expect_size=\"46243840\"] \n  43 [size=\"148043093\", alpha=\"0.11\", expect_size=\"44412928\"] \n  43 -> 45 [size =\"44412928\"]\n  44 [size=\"41833813\", alpha=\"0.05\", expect_size=\"12550144\"] \n  45 [size=\"161672533\", alpha=\"0.18\", expect_size=\"48501760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38180864\", alpha=\"0.01\", expect_size=\"19090432\"] \n  1 -> 2 [size =\"19090432\"]\n  2 [size=\"48773120\", alpha=\"0.04\", expect_size=\"24386560\"] \n  2 -> 3 [size =\"24386560\"]\n  3 [size=\"37767168\", alpha=\"0.03\", expect_size=\"18883584\"] \n  3 -> 4 [size =\"18883584\"]\n  4 [size=\"42092544\", alpha=\"0.00\", expect_size=\"21046272\"] \n  4 -> 5 [size =\"21046272\"]\n  5 [size=\"33142784\", alpha=\"0.15\", expect_size=\"16571392\"] \n  5 -> 6 [size =\"16571392\"]\n  6 [size=\"102344704\", alpha=\"0.01\", expect_size=\"51172352\"] \n  6 -> 7 [size =\"51172352\"]\n  7 [size=\"36864000\", alpha=\"0.09\", expect_size=\"18432000\"] \n  7 -> 8 [size =\"18432000\"]\n  8 [size=\"94769152\", alpha=\"0.09\", expect_size=\"47384576\"] \n  8 -> 9 [size =\"47384576\"]\n  9 [size=\"49635328\", alpha=\"0.13\", expect_size=\"24817664\"] \n  9 -> 10 [size =\"24817664\"]\n  10 [size=\"26181632\", alpha=\"0.18\", expect_size=\"13090816\"] \n  10 -> 11 [size =\"13090816\"]\n  11 [size=\"73287680\", alpha=\"0.09\", expect_size=\"36643840\"] \n  11 -> 12 [size =\"36643840\"]\n  12 [size=\"78450688\", alpha=\"0.06\", expect_size=\"39225344\"] \n  12 -> 13 [size =\"39225344\"]\n  13 [size=\"96233472\", alpha=\"0.09\", expect_size=\"48116736\"] \n  13 -> 14 [size =\"48116736\"]\n  14 [size=\"13772800\", alpha=\"0.19\", expect_size=\"6886400\"] \n  14 -> 15 [size =\"6886400\"]\n  15 [size=\"14925824\", alpha=\"0.08\", expect_size=\"7462912\"] \n  15 -> 16 [size =\"7462912\"]\n  16 [size=\"85817344\", alpha=\"0.00\", expect_size=\"42908672\"] \n  16 -> 17 [size =\"42908672\"]\n  17 [size=\"92649472\", alpha=\"0.05\", expect_size=\"46324736\"] \n  17 -> 18 [size =\"46324736\"]\n  18 [size=\"38666240\", alpha=\"0.18\", expect_size=\"19333120\"] \n  18 -> 19 [size =\"19333120\"]\n  19 [size=\"81952768\", alpha=\"0.19\", expect_size=\"40976384\"] \n  19 -> 20 [size =\"40976384\"]\n  20 [size=\"48099328\", alpha=\"0.10\", expect_size=\"24049664\"] \n  20 -> 21 [size =\"24049664\"]\n  21 [size=\"37023744\", alpha=\"0.07\", expect_size=\"18511872\"] \n  21 -> 22 [size =\"18511872\"]\n  22 [size=\"79415296\", alpha=\"0.12\", expect_size=\"39707648\"] \n  22 -> 23 [size =\"39707648\"]\n  23 [size=\"12150784\", alpha=\"0.03\", expect_size=\"6075392\"] \n  23 -> 24 [size =\"6075392\"]\n  24 [size=\"55668736\", alpha=\"0.01\", expect_size=\"27834368\"] \n  24 -> 25 [size =\"27834368\"]\n  25 [size=\"49217536\", alpha=\"0.03\", expect_size=\"24608768\"] \n  25 -> 26 [size =\"24608768\"]\n  26 [size=\"88569856\", alpha=\"0.05\", expect_size=\"44284928\"] \n  26 -> 27 [size =\"44284928\"]\n  27 [size=\"89436160\", alpha=\"0.12\", expect_size=\"44718080\"] \n  27 -> 28 [size =\"44718080\"]\n  28 [size=\"17682432\", alpha=\"0.18\", expect_size=\"8841216\"] \n  28 -> 29 [size =\"8841216\"]\n  29 [size=\"104429568\", alpha=\"0.11\", expect_size=\"52214784\"] \n  29 -> 30 [size =\"52214784\"]\n  30 [size=\"100005888\", alpha=\"0.08\", expect_size=\"50002944\"] \n  30 -> 31 [size =\"50002944\"]\n  31 [size=\"53628928\", alpha=\"0.18\", expect_size=\"26814464\"] \n  31 -> 32 [size =\"26814464\"]\n  32 [size=\"87363584\", alpha=\"0.03\", expect_size=\"43681792\"] \n  32 -> 33 [size =\"43681792\"]\n  33 [size=\"50753536\", alpha=\"0.06\", expect_size=\"25376768\"] \n  33 -> 34 [size =\"25376768\"]\n  34 [size=\"65456128\", alpha=\"0.09\", expect_size=\"32728064\"] \n  34 -> 35 [size =\"32728064\"]\n  35 [size=\"68706304\", alpha=\"0.14\", expect_size=\"34353152\"] \n  35 -> 36 [size =\"34353152\"]\n  36 [size=\"83159040\", alpha=\"0.14\", expect_size=\"41579520\"] \n  36 -> 37 [size =\"41579520\"]\n  37 [size=\"11931648\", alpha=\"0.12\", expect_size=\"5965824\"] \n  37 -> 38 [size =\"5965824\"]\n  38 [size=\"70144000\", alpha=\"0.16\", expect_size=\"35072000\"] \n  38 -> 39 [size =\"35072000\"]\n  39 [size=\"58970112\", alpha=\"0.15\", expect_size=\"29485056\"] \n  39 -> 40 [size =\"29485056\"]\n  40 [size=\"17557504\", alpha=\"0.02\", expect_size=\"8778752\"] \n  40 -> 41 [size =\"8778752\"]\n  41 [size=\"55973888\", alpha=\"0.14\", expect_size=\"27986944\"] \n  41 -> 42 [size =\"27986944\"]\n  42 [size=\"48281600\", alpha=\"0.01\", expect_size=\"24140800\"] \n  42 -> 43 [size =\"24140800\"]\n  43 [size=\"62445568\", alpha=\"0.09\", expect_size=\"31222784\"] \n  43 -> 44 [size =\"31222784\"]\n  44 [size=\"89841664\", alpha=\"0.06\", expect_size=\"44920832\"] \n  44 -> 45 [size =\"44920832\"]\n  45 [size=\"39389184\", alpha=\"0.11\", expect_size=\"19694592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163198293\", alpha=\"0.07\", expect_size=\"48959488\"] \n  1 -> 2 [size =\"48959488\"]\n  2 [size=\"25927680\", alpha=\"0.16\", expect_size=\"7778304\"] \n  2 -> 3 [size =\"7778304\"]\n  3 [size=\"106407253\", alpha=\"0.13\", expect_size=\"31922176\"] \n  3 -> 4 [size =\"31922176\"]\n  4 [size=\"69932373\", alpha=\"0.19\", expect_size=\"20979712\"] \n  4 -> 5 [size =\"20979712\"]\n  5 [size=\"117189973\", alpha=\"0.17\", expect_size=\"35156992\"] \n  5 -> 6 [size =\"35156992\"]\n  6 [size=\"169345707\", alpha=\"0.11\", expect_size=\"50803712\"] \n  6 -> 7 [size =\"50803712\"]\n  7 [size=\"126006613\", alpha=\"0.08\", expect_size=\"37801984\"] \n  7 -> 8 [size =\"37801984\"]\n  8 [size=\"109110613\", alpha=\"0.13\", expect_size=\"32733184\"] \n  8 -> 9 [size =\"32733184\"]\n  9 [size=\"90548907\", alpha=\"0.14\", expect_size=\"27164672\"] \n  9 -> 10 [size =\"27164672\"]\n  10 [size=\"30818987\", alpha=\"0.02\", expect_size=\"9245696\"] \n  10 -> 11 [size =\"9245696\"]\n  11 [size=\"103028053\", alpha=\"0.15\", expect_size=\"30908416\"] \n  11 -> 12 [size =\"30908416\"]\n  12 [size=\"160167253\", alpha=\"0.01\", expect_size=\"48050176\"] \n  12 -> 13 [size =\"48050176\"]\n  13 [size=\"129256107\", alpha=\"0.16\", expect_size=\"38776832\"] \n  13 -> 14 [size =\"38776832\"]\n  14 [size=\"70529707\", alpha=\"0.15\", expect_size=\"21158912\"] \n  14 -> 15 [size =\"21158912\"]\n  15 [size=\"62269440\", alpha=\"0.02\", expect_size=\"18680832\"] \n  15 -> 16 [size =\"18680832\"]\n  16 [size=\"37662720\", alpha=\"0.05\", expect_size=\"11298816\"] \n  16 -> 17 [size =\"11298816\"]\n  17 [size=\"121610240\", alpha=\"0.17\", expect_size=\"36483072\"] \n  17 -> 18 [size =\"36483072\"]\n  18 [size=\"26101760\", alpha=\"0.03\", expect_size=\"7830528\"] \n  18 -> 19 [size =\"7830528\"]\n  19 [size=\"127126187\", alpha=\"0.13\", expect_size=\"38137856\"] \n  19 -> 20 [size =\"38137856\"]\n  20 [size=\"80756053\", alpha=\"0.07\", expect_size=\"24226816\"] \n  20 -> 21 [size =\"24226816\"]\n  21 [size=\"99679573\", alpha=\"0.19\", expect_size=\"29903872\"] \n  21 -> 22 [size =\"29903872\"]\n  22 [size=\"63358293\", alpha=\"0.12\", expect_size=\"19007488\"] \n  22 -> 23 [size =\"19007488\"]\n  23 [size=\"73280853\", alpha=\"0.17\", expect_size=\"21984256\"] \n  23 -> 24 [size =\"21984256\"]\n  24 [size=\"39703893\", alpha=\"0.08\", expect_size=\"11911168\"] \n  24 -> 25 [size =\"11911168\"]\n  25 [size=\"157375147\", alpha=\"0.12\", expect_size=\"47212544\"] \n  25 -> 26 [size =\"47212544\"]\n  26 [size=\"172247040\", alpha=\"0.15\", expect_size=\"51674112\"] \n  26 -> 27 [size =\"51674112\"]\n  27 [size=\"55033173\", alpha=\"0.12\", expect_size=\"16509952\"] \n  27 -> 28 [size =\"16509952\"]\n  28 [size=\"33088853\", alpha=\"0.00\", expect_size=\"9926656\"] \n  28 -> 29 [size =\"9926656\"]\n  29 [size=\"57934507\", alpha=\"0.18\", expect_size=\"17380352\"] \n  29 -> 30 [size =\"17380352\"]\n  30 [size=\"161116160\", alpha=\"0.18\", expect_size=\"48334848\"] \n  30 -> 31 [size =\"48334848\"]\n  31 [size=\"56746667\", alpha=\"0.09\", expect_size=\"17024000\"] \n  31 -> 32 [size =\"17024000\"]\n  32 [size=\"47831040\", alpha=\"0.17\", expect_size=\"14349312\"] \n  32 -> 33 [size =\"14349312\"]\n  33 [size=\"142827520\", alpha=\"0.00\", expect_size=\"42848256\"] \n  33 -> 34 [size =\"42848256\"]\n  34 [size=\"116094293\", alpha=\"0.10\", expect_size=\"34828288\"] \n  34 -> 35 [size =\"34828288\"]\n  35 [size=\"20087467\", alpha=\"0.05\", expect_size=\"6026240\"] \n  35 -> 36 [size =\"6026240\"]\n  36 [size=\"111817387\", alpha=\"0.03\", expect_size=\"33545216\"] \n  36 -> 37 [size =\"33545216\"]\n  37 [size=\"71290880\", alpha=\"0.14\", expect_size=\"21387264\"] \n  37 -> 38 [size =\"21387264\"]\n  38 [size=\"164324693\", alpha=\"0.06\", expect_size=\"49297408\"] \n  38 -> 39 [size =\"49297408\"]\n  39 [size=\"167987200\", alpha=\"0.12\", expect_size=\"50396160\"] \n  39 -> 40 [size =\"50396160\"]\n  40 [size=\"155347627\", alpha=\"0.06\", expect_size=\"46604288\"] \n  40 -> 41 [size =\"46604288\"]\n  41 [size=\"139752107\", alpha=\"0.11\", expect_size=\"41925632\"] \n  41 -> 42 [size =\"41925632\"]\n  42 [size=\"49469440\", alpha=\"0.02\", expect_size=\"14840832\"] \n  42 -> 43 [size =\"14840832\"]\n  43 [size=\"27190613\", alpha=\"0.19\", expect_size=\"8157184\"] \n  43 -> 44 [size =\"8157184\"]\n  44 [size=\"27412480\", alpha=\"0.20\", expect_size=\"8223744\"] \n  44 -> 45 [size =\"8223744\"]\n  45 [size=\"103191893\", alpha=\"0.18\", expect_size=\"30957568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32729088\", alpha=\"0.01\", expect_size=\"16364544\"] \n  1 -> 29 [size =\"16364544\"]\n  1 -> 31 [size =\"16364544\"]\n  1 -> 33 [size =\"16364544\"]\n  1 -> 34 [size =\"16364544\"]\n  1 -> 39 [size =\"16364544\"]\n  1 -> 40 [size =\"16364544\"]\n  2 [size=\"75270144\", alpha=\"0.02\", expect_size=\"37635072\"] \n  2 -> 29 [size =\"37635072\"]\n  2 -> 31 [size =\"37635072\"]\n  2 -> 33 [size =\"37635072\"]\n  2 -> 39 [size =\"37635072\"]\n  2 -> 39 [size =\"37635072\"]\n  2 -> 40 [size =\"37635072\"]\n  2 -> 42 [size =\"37635072\"]\n  2 -> 43 [size =\"37635072\"]\n  2 -> 45 [size =\"37635072\"]\n  3 [size=\"68825088\", alpha=\"0.15\", expect_size=\"34412544\"] \n  3 -> 29 [size =\"34412544\"]\n  3 -> 31 [size =\"34412544\"]\n  3 -> 32 [size =\"34412544\"]\n  3 -> 33 [size =\"34412544\"]\n  3 -> 35 [size =\"34412544\"]\n  3 -> 37 [size =\"34412544\"]\n  3 -> 39 [size =\"34412544\"]\n  3 -> 40 [size =\"34412544\"]\n  3 -> 42 [size =\"34412544\"]\n  3 -> 45 [size =\"34412544\"]\n  4 [size=\"39143424\", alpha=\"0.19\", expect_size=\"19571712\"] \n  4 -> 31 [size =\"19571712\"]\n  4 -> 36 [size =\"19571712\"]\n  4 -> 39 [size =\"19571712\"]\n  4 -> 40 [size =\"19571712\"]\n  4 -> 42 [size =\"19571712\"]\n  4 -> 45 [size =\"19571712\"]\n  5 [size=\"78919680\", alpha=\"0.15\", expect_size=\"39459840\"] \n  5 -> 32 [size =\"39459840\"]\n  5 -> 34 [size =\"39459840\"]\n  5 -> 37 [size =\"39459840\"]\n  5 -> 39 [size =\"39459840\"]\n  5 -> 40 [size =\"39459840\"]\n  5 -> 45 [size =\"39459840\"]\n  6 [size=\"24952832\", alpha=\"0.15\", expect_size=\"12476416\"] \n  6 -> 29 [size =\"12476416\"]\n  6 -> 31 [size =\"12476416\"]\n  6 -> 32 [size =\"12476416\"]\n  6 -> 33 [size =\"12476416\"]\n  6 -> 34 [size =\"12476416\"]\n  6 -> 39 [size =\"12476416\"]\n  6 -> 40 [size =\"12476416\"]\n  6 -> 43 [size =\"12476416\"]\n  6 -> 45 [size =\"12476416\"]\n  7 [size=\"24969216\", alpha=\"0.15\", expect_size=\"12484608\"] \n  7 -> 29 [size =\"12484608\"]\n  7 -> 31 [size =\"12484608\"]\n  7 -> 40 [size =\"12484608\"]\n  7 -> 42 [size =\"12484608\"]\n  7 -> 43 [size =\"12484608\"]\n  7 -> 45 [size =\"12484608\"]\n  8 [size=\"11143168\", alpha=\"0.06\", expect_size=\"5571584\"] \n  8 -> 29 [size =\"5571584\"]\n  8 -> 31 [size =\"5571584\"]\n  8 -> 36 [size =\"5571584\"]\n  8 -> 37 [size =\"5571584\"]\n  8 -> 42 [size =\"5571584\"]\n  8 -> 43 [size =\"5571584\"]\n  8 -> 45 [size =\"5571584\"]\n  9 [size=\"30871552\", alpha=\"0.12\", expect_size=\"15435776\"] \n  9 -> 29 [size =\"15435776\"]\n  9 -> 31 [size =\"15435776\"]\n  9 -> 33 [size =\"15435776\"]\n  9 -> 34 [size =\"15435776\"]\n  9 -> 35 [size =\"15435776\"]\n  9 -> 36 [size =\"15435776\"]\n  9 -> 39 [size =\"15435776\"]\n  9 -> 40 [size =\"15435776\"]\n  9 -> 42 [size =\"15435776\"]\n  9 -> 44 [size =\"15435776\"]\n  9 -> 45 [size =\"15435776\"]\n  10 [size=\"53389312\", alpha=\"0.12\", expect_size=\"26694656\"] \n  10 -> 29 [size =\"26694656\"]\n  10 -> 31 [size =\"26694656\"]\n  10 -> 35 [size =\"26694656\"]\n  10 -> 39 [size =\"26694656\"]\n  10 -> 43 [size =\"26694656\"]\n  10 -> 45 [size =\"26694656\"]\n  11 [size=\"73973760\", alpha=\"0.18\", expect_size=\"36986880\"] \n  11 -> 29 [size =\"36986880\"]\n  11 -> 31 [size =\"36986880\"]\n  11 -> 33 [size =\"36986880\"]\n  11 -> 35 [size =\"36986880\"]\n  11 -> 36 [size =\"36986880\"]\n  11 -> 37 [size =\"36986880\"]\n  11 -> 39 [size =\"36986880\"]\n  11 -> 40 [size =\"36986880\"]\n  11 -> 42 [size =\"36986880\"]\n  11 -> 43 [size =\"36986880\"]\n  11 -> 45 [size =\"36986880\"]\n  12 [size=\"77289472\", alpha=\"0.10\", expect_size=\"38644736\"] \n  12 -> 29 [size =\"38644736\"]\n  12 -> 31 [size =\"38644736\"]\n  12 -> 36 [size =\"38644736\"]\n  12 -> 38 [size =\"38644736\"]\n  12 -> 42 [size =\"38644736\"]\n  12 -> 45 [size =\"38644736\"]\n  13 [size=\"84666368\", alpha=\"0.20\", expect_size=\"42333184\"] \n  13 -> 29 [size =\"42333184\"]\n  13 -> 31 [size =\"42333184\"]\n  13 -> 33 [size =\"42333184\"]\n  13 -> 35 [size =\"42333184\"]\n  13 -> 36 [size =\"42333184\"]\n  13 -> 37 [size =\"42333184\"]\n  13 -> 39 [size =\"42333184\"]\n  13 -> 40 [size =\"42333184\"]\n  13 -> 42 [size =\"42333184\"]\n  13 -> 45 [size =\"42333184\"]\n  14 [size=\"61601792\", alpha=\"0.03\", expect_size=\"30800896\"] \n  14 -> 29 [size =\"30800896\"]\n  14 -> 31 [size =\"30800896\"]\n  14 -> 33 [size =\"30800896\"]\n  14 -> 34 [size =\"30800896\"]\n  14 -> 35 [size =\"30800896\"]\n  14 -> 38 [size =\"30800896\"]\n  14 -> 39 [size =\"30800896\"]\n  14 -> 40 [size =\"30800896\"]\n  14 -> 42 [size =\"30800896\"]\n  14 -> 45 [size =\"30800896\"]\n  15 [size=\"55980032\", alpha=\"0.16\", expect_size=\"27990016\"] \n  15 -> 29 [size =\"27990016\"]\n  15 -> 31 [size =\"27990016\"]\n  15 -> 33 [size =\"27990016\"]\n  15 -> 35 [size =\"27990016\"]\n  15 -> 36 [size =\"27990016\"]\n  15 -> 37 [size =\"27990016\"]\n  15 -> 39 [size =\"27990016\"]\n  15 -> 45 [size =\"27990016\"]\n  16 [size=\"33802240\", alpha=\"0.16\", expect_size=\"16901120\"] \n  16 -> 28 [size =\"16901120\"]\n  16 -> 31 [size =\"16901120\"]\n  16 -> 32 [size =\"16901120\"]\n  16 -> 33 [size =\"16901120\"]\n  16 -> 35 [size =\"16901120\"]\n  16 -> 41 [size =\"16901120\"]\n  16 -> 42 [size =\"16901120\"]\n  16 -> 45 [size =\"16901120\"]\n  17 [size=\"11241472\", alpha=\"0.07\", expect_size=\"5620736\"] \n  17 -> 29 [size =\"5620736\"]\n  17 -> 31 [size =\"5620736\"]\n  17 -> 32 [size =\"5620736\"]\n  17 -> 38 [size =\"5620736\"]\n  17 -> 45 [size =\"5620736\"]\n  18 [size=\"79677440\", alpha=\"0.01\", expect_size=\"39838720\"] \n  18 -> 29 [size =\"39838720\"]\n  18 -> 31 [size =\"39838720\"]\n  18 -> 32 [size =\"39838720\"]\n  18 -> 33 [size =\"39838720\"]\n  18 -> 34 [size =\"39838720\"]\n  18 -> 40 [size =\"39838720\"]\n  18 -> 43 [size =\"39838720\"]\n  19 [size=\"11259904\", alpha=\"0.16\", expect_size=\"5629952\"] \n  19 -> 28 [size =\"5629952\"]\n  19 -> 29 [size =\"5629952\"]\n  19 -> 31 [size =\"5629952\"]\n  19 -> 32 [size =\"5629952\"]\n  19 -> 33 [size =\"5629952\"]\n  19 -> 34 [size =\"5629952\"]\n  19 -> 38 [size =\"5629952\"]\n  19 -> 40 [size =\"5629952\"]\n  19 -> 43 [size =\"5629952\"]\n  19 -> 45 [size =\"5629952\"]\n  20 [size=\"65589248\", alpha=\"0.17\", expect_size=\"32794624\"] \n  20 -> 29 [size =\"32794624\"]\n  20 -> 31 [size =\"32794624\"]\n  20 -> 32 [size =\"32794624\"]\n  20 -> 33 [size =\"32794624\"]\n  20 -> 35 [size =\"32794624\"]\n  20 -> 39 [size =\"32794624\"]\n  20 -> 40 [size =\"32794624\"]\n  21 [size=\"26445824\", alpha=\"0.02\", expect_size=\"13222912\"] \n  21 -> 32 [size =\"13222912\"]\n  21 -> 33 [size =\"13222912\"]\n  21 -> 36 [size =\"13222912\"]\n  21 -> 38 [size =\"13222912\"]\n  21 -> 39 [size =\"13222912\"]\n  21 -> 40 [size =\"13222912\"]\n  21 -> 43 [size =\"13222912\"]\n  21 -> 45 [size =\"13222912\"]\n  22 [size=\"16324608\", alpha=\"0.02\", expect_size=\"8162304\"] \n  22 -> 35 [size =\"8162304\"]\n  22 -> 36 [size =\"8162304\"]\n  22 -> 39 [size =\"8162304\"]\n  22 -> 45 [size =\"8162304\"]\n  23 [size=\"63830016\", alpha=\"0.13\", expect_size=\"31915008\"] \n  23 -> 34 [size =\"31915008\"]\n  23 -> 36 [size =\"31915008\"]\n  23 -> 39 [size =\"31915008\"]\n  23 -> 40 [size =\"31915008\"]\n  23 -> 42 [size =\"31915008\"]\n  23 -> 44 [size =\"31915008\"]\n  23 -> 45 [size =\"31915008\"]\n  24 [size=\"62304256\", alpha=\"0.11\", expect_size=\"31152128\"] \n  24 -> 31 [size =\"31152128\"]\n  24 -> 32 [size =\"31152128\"]\n  24 -> 34 [size =\"31152128\"]\n  24 -> 35 [size =\"31152128\"]\n  24 -> 39 [size =\"31152128\"]\n  24 -> 40 [size =\"31152128\"]\n  25 [size=\"75137024\", alpha=\"0.03\", expect_size=\"37568512\"] \n  25 -> 29 [size =\"37568512\"]\n  25 -> 31 [size =\"37568512\"]\n  25 -> 34 [size =\"37568512\"]\n  25 -> 35 [size =\"37568512\"]\n  25 -> 38 [size =\"37568512\"]\n  25 -> 40 [size =\"37568512\"]\n  25 -> 43 [size =\"37568512\"]\n  25 -> 45 [size =\"37568512\"]\n  26 [size=\"54915072\", alpha=\"0.18\", expect_size=\"27457536\"] \n  26 -> 28 [size =\"27457536\"]\n  26 -> 30 [size =\"27457536\"]\n  26 -> 33 [size =\"27457536\"]\n  26 -> 35 [size =\"27457536\"]\n  26 -> 39 [size =\"27457536\"]\n  26 -> 40 [size =\"27457536\"]\n  26 -> 45 [size =\"27457536\"]\n  27 [size=\"37337088\", alpha=\"0.17\", expect_size=\"18668544\"] \n  27 -> 33 [size =\"18668544\"]\n  27 -> 34 [size =\"18668544\"]\n  27 -> 35 [size =\"18668544\"]\n  27 -> 39 [size =\"18668544\"]\n  27 -> 39 [size =\"18668544\"]\n  27 -> 40 [size =\"18668544\"]\n  27 -> 41 [size =\"18668544\"]\n  27 -> 42 [size =\"18668544\"]\n  28 [size=\"70115328\", alpha=\"0.15\", expect_size=\"35057664\"] \n  29 [size=\"73863168\", alpha=\"0.18\", expect_size=\"36931584\"] \n  30 [size=\"55902208\", alpha=\"0.10\", expect_size=\"27951104\"] \n  31 [size=\"41625600\", alpha=\"0.15\", expect_size=\"20812800\"] \n  32 [size=\"53274624\", alpha=\"0.14\", expect_size=\"26637312\"] \n  33 [size=\"61265920\", alpha=\"0.10\", expect_size=\"30632960\"] \n  34 [size=\"29566976\", alpha=\"0.16\", expect_size=\"14783488\"] \n  35 [size=\"81207296\", alpha=\"0.11\", expect_size=\"40603648\"] \n  36 [size=\"95879168\", alpha=\"0.12\", expect_size=\"47939584\"] \n  37 [size=\"88049664\", alpha=\"0.13\", expect_size=\"44024832\"] \n  38 [size=\"72206336\", alpha=\"0.08\", expect_size=\"36103168\"] \n  39 [size=\"49004544\", alpha=\"0.04\", expect_size=\"24502272\"] \n  40 [size=\"38832128\", alpha=\"0.11\", expect_size=\"19416064\"] \n  41 [size=\"84592640\", alpha=\"0.02\", expect_size=\"42296320\"] \n  42 [size=\"61032448\", alpha=\"0.14\", expect_size=\"30516224\"] \n  43 [size=\"34957312\", alpha=\"0.17\", expect_size=\"17478656\"] \n  44 [size=\"80545792\", alpha=\"0.11\", expect_size=\"40272896\"] \n  45 [size=\"60174336\", alpha=\"0.19\", expect_size=\"30087168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120326827\", alpha=\"0.13\", expect_size=\"36098048\"] \n  1 -> 7 [size =\"36098048\"]\n  1 -> 9 [size =\"36098048\"]\n  2 [size=\"89777493\", alpha=\"0.04\", expect_size=\"26933248\"] \n  2 -> 7 [size =\"26933248\"]\n  2 -> 9 [size =\"26933248\"]\n  3 [size=\"107895467\", alpha=\"0.14\", expect_size=\"32368640\"] \n  3 -> 6 [size =\"32368640\"]\n  3 -> 7 [size =\"32368640\"]\n  4 [size=\"83776853\", alpha=\"0.06\", expect_size=\"25133056\"] \n  4 -> 7 [size =\"25133056\"]\n  4 -> 8 [size =\"25133056\"]\n  5 [size=\"41161387\", alpha=\"0.05\", expect_size=\"12348416\"] \n  5 -> 7 [size =\"12348416\"]\n  5 -> 8 [size =\"12348416\"]\n  5 -> 9 [size =\"12348416\"]\n  6 [size=\"121555627\", alpha=\"0.03\", expect_size=\"36466688\"] \n  6 -> 10 [size =\"36466688\"]\n  6 -> 11 [size =\"36466688\"]\n  6 -> 12 [size =\"36466688\"]\n  6 -> 13 [size =\"36466688\"]\n  6 -> 14 [size =\"36466688\"]\n  6 -> 15 [size =\"36466688\"]\n  7 [size=\"123337387\", alpha=\"0.02\", expect_size=\"37001216\"] \n  7 -> 10 [size =\"37001216\"]\n  7 -> 11 [size =\"37001216\"]\n  7 -> 12 [size =\"37001216\"]\n  7 -> 13 [size =\"37001216\"]\n  7 -> 15 [size =\"37001216\"]\n  8 [size=\"141011627\", alpha=\"0.03\", expect_size=\"42303488\"] \n  8 -> 10 [size =\"42303488\"]\n  8 -> 11 [size =\"42303488\"]\n  8 -> 12 [size =\"42303488\"]\n  8 -> 13 [size =\"42303488\"]\n  8 -> 14 [size =\"42303488\"]\n  8 -> 15 [size =\"42303488\"]\n  9 [size=\"116415147\", alpha=\"0.11\", expect_size=\"34924544\"] \n  9 -> 10 [size =\"34924544\"]\n  9 -> 12 [size =\"34924544\"]\n  9 -> 13 [size =\"34924544\"]\n  9 -> 15 [size =\"34924544\"]\n  9 -> 16 [size =\"34924544\"]\n  10 [size=\"137055573\", alpha=\"0.14\", expect_size=\"41116672\"] \n  10 -> 17 [size =\"41116672\"]\n  10 -> 18 [size =\"41116672\"]\n  10 -> 19 [size =\"41116672\"]\n  11 [size=\"95030613\", alpha=\"0.10\", expect_size=\"28509184\"] \n  11 -> 17 [size =\"28509184\"]\n  11 -> 21 [size =\"28509184\"]\n  12 [size=\"37116587\", alpha=\"0.11\", expect_size=\"11134976\"] \n  12 -> 18 [size =\"11134976\"]\n  12 -> 21 [size =\"11134976\"]\n  13 [size=\"70700373\", alpha=\"0.04\", expect_size=\"21210112\"] \n  13 -> 18 [size =\"21210112\"]\n  13 -> 21 [size =\"21210112\"]\n  14 [size=\"21616640\", alpha=\"0.05\", expect_size=\"6484992\"] \n  14 -> 17 [size =\"6484992\"]\n  14 -> 18 [size =\"6484992\"]\n  14 -> 21 [size =\"6484992\"]\n  15 [size=\"69655893\", alpha=\"0.08\", expect_size=\"20896768\"] \n  15 -> 18 [size =\"20896768\"]\n  15 -> 21 [size =\"20896768\"]\n  16 [size=\"110199467\", alpha=\"0.13\", expect_size=\"33059840\"] \n  16 -> 17 [size =\"33059840\"]\n  16 -> 18 [size =\"33059840\"]\n  16 -> 19 [size =\"33059840\"]\n  16 -> 20 [size =\"33059840\"]\n  16 -> 21 [size =\"33059840\"]\n  17 [size=\"133120000\", alpha=\"0.09\", expect_size=\"39936000\"] \n  17 -> 23 [size =\"39936000\"]\n  17 -> 24 [size =\"39936000\"]\n  17 -> 25 [size =\"39936000\"]\n  18 [size=\"147961173\", alpha=\"0.09\", expect_size=\"44388352\"] \n  18 -> 23 [size =\"44388352\"]\n  18 -> 24 [size =\"44388352\"]\n  18 -> 25 [size =\"44388352\"]\n  18 -> 26 [size =\"44388352\"]\n  19 [size=\"170123947\", alpha=\"0.18\", expect_size=\"51037184\"] \n  19 -> 23 [size =\"51037184\"]\n  19 -> 24 [size =\"51037184\"]\n  19 -> 25 [size =\"51037184\"]\n  20 [size=\"98843307\", alpha=\"0.03\", expect_size=\"29652992\"] \n  20 -> 22 [size =\"29652992\"]\n  20 -> 25 [size =\"29652992\"]\n  21 [size=\"54531413\", alpha=\"0.02\", expect_size=\"16359424\"] \n  21 -> 22 [size =\"16359424\"]\n  21 -> 25 [size =\"16359424\"]\n  21 -> 26 [size =\"16359424\"]\n  22 [size=\"132659200\", alpha=\"0.10\", expect_size=\"39797760\"] \n  22 -> 27 [size =\"39797760\"]\n  22 -> 29 [size =\"39797760\"]\n  22 -> 30 [size =\"39797760\"]\n  23 [size=\"61160107\", alpha=\"0.10\", expect_size=\"18348032\"] \n  23 -> 27 [size =\"18348032\"]\n  23 -> 28 [size =\"18348032\"]\n  23 -> 29 [size =\"18348032\"]\n  24 [size=\"89364480\", alpha=\"0.18\", expect_size=\"26809344\"] \n  24 -> 27 [size =\"26809344\"]\n  24 -> 29 [size =\"26809344\"]\n  25 [size=\"131962880\", alpha=\"0.09\", expect_size=\"39588864\"] \n  25 -> 27 [size =\"39588864\"]\n  25 -> 29 [size =\"39588864\"]\n  25 -> 30 [size =\"39588864\"]\n  26 [size=\"39154347\", alpha=\"0.13\", expect_size=\"11746304\"] \n  26 -> 27 [size =\"11746304\"]\n  26 -> 28 [size =\"11746304\"]\n  26 -> 29 [size =\"11746304\"]\n  26 -> 30 [size =\"11746304\"]\n  27 [size=\"141963947\", alpha=\"0.11\", expect_size=\"42589184\"] \n  27 -> 31 [size =\"42589184\"]\n  27 -> 32 [size =\"42589184\"]\n  27 -> 34 [size =\"42589184\"]\n  27 -> 35 [size =\"42589184\"]\n  27 -> 37 [size =\"42589184\"]\n  28 [size=\"51756373\", alpha=\"0.04\", expect_size=\"15526912\"] \n  28 -> 31 [size =\"15526912\"]\n  28 -> 32 [size =\"15526912\"]\n  28 -> 33 [size =\"15526912\"]\n  28 -> 34 [size =\"15526912\"]\n  28 -> 36 [size =\"15526912\"]\n  28 -> 37 [size =\"15526912\"]\n  29 [size=\"119077547\", alpha=\"0.10\", expect_size=\"35723264\"] \n  29 -> 31 [size =\"35723264\"]\n  29 -> 32 [size =\"35723264\"]\n  29 -> 33 [size =\"35723264\"]\n  29 -> 35 [size =\"35723264\"]\n  29 -> 36 [size =\"35723264\"]\n  29 -> 37 [size =\"35723264\"]\n  30 [size=\"100225707\", alpha=\"0.11\", expect_size=\"30067712\"] \n  30 -> 31 [size =\"30067712\"]\n  30 -> 32 [size =\"30067712\"]\n  30 -> 34 [size =\"30067712\"]\n  30 -> 35 [size =\"30067712\"]\n  30 -> 36 [size =\"30067712\"]\n  30 -> 37 [size =\"30067712\"]\n  31 [size=\"126716587\", alpha=\"0.02\", expect_size=\"38014976\"] \n  31 -> 40 [size =\"38014976\"]\n  31 -> 41 [size =\"38014976\"]\n  32 [size=\"144110933\", alpha=\"0.16\", expect_size=\"43233280\"] \n  32 -> 38 [size =\"43233280\"]\n  32 -> 40 [size =\"43233280\"]\n  33 [size=\"67426987\", alpha=\"0.16\", expect_size=\"20228096\"] \n  33 -> 38 [size =\"20228096\"]\n  33 -> 39 [size =\"20228096\"]\n  33 -> 41 [size =\"20228096\"]\n  34 [size=\"144370347\", alpha=\"0.17\", expect_size=\"43311104\"] \n  34 -> 38 [size =\"43311104\"]\n  34 -> 41 [size =\"43311104\"]\n  35 [size=\"126672213\", alpha=\"0.04\", expect_size=\"38001664\"] \n  35 -> 38 [size =\"38001664\"]\n  35 -> 41 [size =\"38001664\"]\n  36 [size=\"38021120\", alpha=\"0.04\", expect_size=\"11406336\"] \n  36 -> 38 [size =\"11406336\"]\n  36 -> 39 [size =\"11406336\"]\n  36 -> 40 [size =\"11406336\"]\n  36 -> 41 [size =\"11406336\"]\n  37 [size=\"139779413\", alpha=\"0.17\", expect_size=\"41933824\"] \n  37 -> 38 [size =\"41933824\"]\n  37 -> 40 [size =\"41933824\"]\n  37 -> 41 [size =\"41933824\"]\n  37 -> 41 [size =\"41933824\"]\n  38 [size=\"65955840\", alpha=\"0.08\", expect_size=\"19786752\"] \n  38 -> 42 [size =\"19786752\"]\n  38 -> 43 [size =\"19786752\"]\n  38 -> 44 [size =\"19786752\"]\n  38 -> 45 [size =\"19786752\"]\n  39 [size=\"97375573\", alpha=\"0.18\", expect_size=\"29212672\"] \n  39 -> 42 [size =\"29212672\"]\n  40 [size=\"18401280\", alpha=\"0.18\", expect_size=\"5520384\"] \n  40 -> 44 [size =\"5520384\"]\n  41 [size=\"105902080\", alpha=\"0.03\", expect_size=\"31770624\"] \n  41 -> 44 [size =\"31770624\"]\n  41 -> 45 [size =\"31770624\"]\n  42 [size=\"122862933\", alpha=\"0.03\", expect_size=\"36858880\"] \n  43 [size=\"88920747\", alpha=\"0.08\", expect_size=\"26676224\"] \n  44 [size=\"57309867\", alpha=\"0.03\", expect_size=\"17192960\"] \n  45 [size=\"32167253\", alpha=\"0.11\", expect_size=\"9650176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103592960\", alpha=\"0.13\", expect_size=\"41437184\"] \n  1 -> 18 [size =\"41437184\"]\n  1 -> 20 [size =\"41437184\"]\n  1 -> 26 [size =\"41437184\"]\n  2 [size=\"71541760\", alpha=\"0.06\", expect_size=\"28616704\"] \n  2 -> 18 [size =\"28616704\"]\n  2 -> 19 [size =\"28616704\"]\n  2 -> 20 [size =\"28616704\"]\n  2 -> 23 [size =\"28616704\"]\n  2 -> 26 [size =\"28616704\"]\n  2 -> 29 [size =\"28616704\"]\n  3 [size=\"39592960\", alpha=\"0.10\", expect_size=\"15837184\"] \n  3 -> 18 [size =\"15837184\"]\n  3 -> 20 [size =\"15837184\"]\n  3 -> 20 [size =\"15837184\"]\n  3 -> 21 [size =\"15837184\"]\n  3 -> 22 [size =\"15837184\"]\n  3 -> 24 [size =\"15837184\"]\n  3 -> 25 [size =\"15837184\"]\n  3 -> 27 [size =\"15837184\"]\n  4 [size=\"108618240\", alpha=\"0.09\", expect_size=\"43447296\"] \n  4 -> 18 [size =\"43447296\"]\n  4 -> 27 [size =\"43447296\"]\n  4 -> 31 [size =\"43447296\"]\n  4 -> 32 [size =\"43447296\"]\n  5 [size=\"120074240\", alpha=\"0.02\", expect_size=\"48029696\"] \n  5 -> 20 [size =\"48029696\"]\n  5 -> 22 [size =\"48029696\"]\n  5 -> 24 [size =\"48029696\"]\n  5 -> 27 [size =\"48029696\"]\n  5 -> 31 [size =\"48029696\"]\n  6 [size=\"14999040\", alpha=\"0.16\", expect_size=\"5999616\"] \n  6 -> 19 [size =\"5999616\"]\n  6 -> 20 [size =\"5999616\"]\n  6 -> 25 [size =\"5999616\"]\n  6 -> 26 [size =\"5999616\"]\n  6 -> 27 [size =\"5999616\"]\n  6 -> 28 [size =\"5999616\"]\n  6 -> 29 [size =\"5999616\"]\n  6 -> 31 [size =\"5999616\"]\n  7 [size=\"58496000\", alpha=\"0.13\", expect_size=\"23398400\"] \n  7 -> 23 [size =\"23398400\"]\n  7 -> 26 [size =\"23398400\"]\n  7 -> 27 [size =\"23398400\"]\n  7 -> 28 [size =\"23398400\"]\n  7 -> 31 [size =\"23398400\"]\n  8 [size=\"85365760\", alpha=\"0.08\", expect_size=\"34146304\"] \n  8 -> 19 [size =\"34146304\"]\n  8 -> 23 [size =\"34146304\"]\n  8 -> 24 [size =\"34146304\"]\n  8 -> 26 [size =\"34146304\"]\n  8 -> 27 [size =\"34146304\"]\n  8 -> 31 [size =\"34146304\"]\n  8 -> 32 [size =\"34146304\"]\n  9 [size=\"119129600\", alpha=\"0.08\", expect_size=\"47651840\"] \n  9 -> 19 [size =\"47651840\"]\n  9 -> 20 [size =\"47651840\"]\n  9 -> 24 [size =\"47651840\"]\n  9 -> 28 [size =\"47651840\"]\n  9 -> 30 [size =\"47651840\"]\n  9 -> 31 [size =\"47651840\"]\n  9 -> 32 [size =\"47651840\"]\n  9 -> 33 [size =\"47651840\"]\n  10 [size=\"69283840\", alpha=\"0.03\", expect_size=\"27713536\"] \n  10 -> 18 [size =\"27713536\"]\n  10 -> 20 [size =\"27713536\"]\n  10 -> 22 [size =\"27713536\"]\n  10 -> 27 [size =\"27713536\"]\n  10 -> 29 [size =\"27713536\"]\n  10 -> 31 [size =\"27713536\"]\n  11 [size=\"15229440\", alpha=\"0.18\", expect_size=\"6091776\"] \n  11 -> 19 [size =\"6091776\"]\n  11 -> 20 [size =\"6091776\"]\n  11 -> 28 [size =\"6091776\"]\n  11 -> 31 [size =\"6091776\"]\n  11 -> 32 [size =\"6091776\"]\n  12 [size=\"90826240\", alpha=\"0.12\", expect_size=\"36330496\"] \n  12 -> 19 [size =\"36330496\"]\n  12 -> 20 [size =\"36330496\"]\n  12 -> 22 [size =\"36330496\"]\n  12 -> 25 [size =\"36330496\"]\n  12 -> 28 [size =\"36330496\"]\n  12 -> 31 [size =\"36330496\"]\n  12 -> 32 [size =\"36330496\"]\n  13 [size=\"128302080\", alpha=\"0.00\", expect_size=\"51320832\"] \n  13 -> 19 [size =\"51320832\"]\n  13 -> 20 [size =\"51320832\"]\n  13 -> 22 [size =\"51320832\"]\n  13 -> 23 [size =\"51320832\"]\n  13 -> 24 [size =\"51320832\"]\n  13 -> 28 [size =\"51320832\"]\n  14 [size=\"67760640\", alpha=\"0.05\", expect_size=\"27104256\"] \n  14 -> 19 [size =\"27104256\"]\n  14 -> 20 [size =\"27104256\"]\n  14 -> 27 [size =\"27104256\"]\n  14 -> 29 [size =\"27104256\"]\n  15 [size=\"120747520\", alpha=\"0.12\", expect_size=\"48299008\"] \n  15 -> 25 [size =\"48299008\"]\n  15 -> 29 [size =\"48299008\"]\n  15 -> 31 [size =\"48299008\"]\n  16 [size=\"13570560\", alpha=\"0.01\", expect_size=\"5428224\"] \n  16 -> 18 [size =\"5428224\"]\n  16 -> 27 [size =\"5428224\"]\n  16 -> 28 [size =\"5428224\"]\n  16 -> 29 [size =\"5428224\"]\n  17 [size=\"110589440\", alpha=\"0.17\", expect_size=\"44235776\"] \n  17 -> 24 [size =\"44235776\"]\n  17 -> 25 [size =\"44235776\"]\n  17 -> 26 [size =\"44235776\"]\n  18 [size=\"71887360\", alpha=\"0.15\", expect_size=\"28754944\"] \n  18 -> 34 [size =\"28754944\"]\n  18 -> 36 [size =\"28754944\"]\n  18 -> 40 [size =\"28754944\"]\n  18 -> 43 [size =\"28754944\"]\n  18 -> 44 [size =\"28754944\"]\n  19 [size=\"116922880\", alpha=\"0.11\", expect_size=\"46769152\"] \n  19 -> 34 [size =\"46769152\"]\n  19 -> 38 [size =\"46769152\"]\n  19 -> 40 [size =\"46769152\"]\n  19 -> 42 [size =\"46769152\"]\n  19 -> 43 [size =\"46769152\"]\n  19 -> 44 [size =\"46769152\"]\n  19 -> 45 [size =\"46769152\"]\n  20 [size=\"48632320\", alpha=\"0.06\", expect_size=\"19452928\"] \n  20 -> 35 [size =\"19452928\"]\n  20 -> 37 [size =\"19452928\"]\n  20 -> 39 [size =\"19452928\"]\n  20 -> 40 [size =\"19452928\"]\n  20 -> 41 [size =\"19452928\"]\n  20 -> 42 [size =\"19452928\"]\n  20 -> 44 [size =\"19452928\"]\n  20 -> 45 [size =\"19452928\"]\n  21 [size=\"68126720\", alpha=\"0.15\", expect_size=\"27250688\"] \n  21 -> 37 [size =\"27250688\"]\n  21 -> 38 [size =\"27250688\"]\n  21 -> 40 [size =\"27250688\"]\n  21 -> 41 [size =\"27250688\"]\n  21 -> 43 [size =\"27250688\"]\n  21 -> 44 [size =\"27250688\"]\n  21 -> 44 [size =\"27250688\"]\n  21 -> 45 [size =\"27250688\"]\n  22 [size=\"57408000\", alpha=\"0.15\", expect_size=\"22963200\"] \n  22 -> 37 [size =\"22963200\"]\n  22 -> 43 [size =\"22963200\"]\n  23 [size=\"127567360\", alpha=\"0.19\", expect_size=\"51026944\"] \n  23 -> 36 [size =\"51026944\"]\n  23 -> 37 [size =\"51026944\"]\n  23 -> 39 [size =\"51026944\"]\n  23 -> 41 [size =\"51026944\"]\n  24 [size=\"128870400\", alpha=\"0.19\", expect_size=\"51548160\"] \n  24 -> 34 [size =\"51548160\"]\n  24 -> 36 [size =\"51548160\"]\n  24 -> 40 [size =\"51548160\"]\n  24 -> 41 [size =\"51548160\"]\n  24 -> 43 [size =\"51548160\"]\n  25 [size=\"40235520\", alpha=\"0.17\", expect_size=\"16094208\"] \n  25 -> 34 [size =\"16094208\"]\n  25 -> 37 [size =\"16094208\"]\n  25 -> 42 [size =\"16094208\"]\n  25 -> 43 [size =\"16094208\"]\n  26 [size=\"108398080\", alpha=\"0.16\", expect_size=\"43359232\"] \n  26 -> 36 [size =\"43359232\"]\n  26 -> 38 [size =\"43359232\"]\n  26 -> 42 [size =\"43359232\"]\n  26 -> 44 [size =\"43359232\"]\n  27 [size=\"113105920\", alpha=\"0.02\", expect_size=\"45242368\"] \n  27 -> 34 [size =\"45242368\"]\n  27 -> 38 [size =\"45242368\"]\n  27 -> 44 [size =\"45242368\"]\n  28 [size=\"94586880\", alpha=\"0.00\", expect_size=\"37834752\"] \n  28 -> 34 [size =\"37834752\"]\n  28 -> 35 [size =\"37834752\"]\n  28 -> 36 [size =\"37834752\"]\n  28 -> 37 [size =\"37834752\"]\n  28 -> 38 [size =\"37834752\"]\n  28 -> 41 [size =\"37834752\"]\n  28 -> 44 [size =\"37834752\"]\n  29 [size=\"63895040\", alpha=\"0.17\", expect_size=\"25558016\"] \n  29 -> 35 [size =\"25558016\"]\n  29 -> 36 [size =\"25558016\"]\n  29 -> 36 [size =\"25558016\"]\n  29 -> 41 [size =\"25558016\"]\n  29 -> 42 [size =\"25558016\"]\n  30 [size=\"130723840\", alpha=\"0.03\", expect_size=\"52289536\"] \n  30 -> 35 [size =\"52289536\"]\n  30 -> 41 [size =\"52289536\"]\n  30 -> 42 [size =\"52289536\"]\n  31 [size=\"45452800\", alpha=\"0.09\", expect_size=\"18181120\"] \n  31 -> 36 [size =\"18181120\"]\n  31 -> 41 [size =\"18181120\"]\n  31 -> 44 [size =\"18181120\"]\n  32 [size=\"16537600\", alpha=\"0.09\", expect_size=\"6615040\"] \n  32 -> 36 [size =\"6615040\"]\n  32 -> 41 [size =\"6615040\"]\n  32 -> 42 [size =\"6615040\"]\n  32 -> 43 [size =\"6615040\"]\n  32 -> 44 [size =\"6615040\"]\n  32 -> 45 [size =\"6615040\"]\n  33 [size=\"102407680\", alpha=\"0.08\", expect_size=\"40963072\"] \n  33 -> 36 [size =\"40963072\"]\n  33 -> 37 [size =\"40963072\"]\n  33 -> 40 [size =\"40963072\"]\n  33 -> 41 [size =\"40963072\"]\n  33 -> 45 [size =\"40963072\"]\n  34 [size=\"93624320\", alpha=\"0.16\", expect_size=\"37449728\"] \n  35 [size=\"85703680\", alpha=\"0.03\", expect_size=\"34281472\"] \n  36 [size=\"67642880\", alpha=\"0.10\", expect_size=\"27057152\"] \n  37 [size=\"41341440\", alpha=\"0.13\", expect_size=\"16536576\"] \n  38 [size=\"52185600\", alpha=\"0.06\", expect_size=\"20874240\"] \n  39 [size=\"54471680\", alpha=\"0.17\", expect_size=\"21788672\"] \n  40 [size=\"36254720\", alpha=\"0.14\", expect_size=\"14501888\"] \n  41 [size=\"53716480\", alpha=\"0.00\", expect_size=\"21486592\"] \n  42 [size=\"108979200\", alpha=\"0.14\", expect_size=\"43591680\"] \n  43 [size=\"43829760\", alpha=\"0.07\", expect_size=\"17531904\"] \n  44 [size=\"91435520\", alpha=\"0.19\", expect_size=\"36574208\"] \n  45 [size=\"70517760\", alpha=\"0.17\", expect_size=\"28207104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49392640\", alpha=\"0.08\", expect_size=\"19757056\"] \n  1 -> 2 [size =\"19757056\"]\n  2 [size=\"97592320\", alpha=\"0.14\", expect_size=\"39036928\"] \n  2 -> 3 [size =\"39036928\"]\n  3 [size=\"116200960\", alpha=\"0.08\", expect_size=\"46480384\"] \n  3 -> 4 [size =\"46480384\"]\n  4 [size=\"76295680\", alpha=\"0.01\", expect_size=\"30518272\"] \n  4 -> 5 [size =\"30518272\"]\n  5 [size=\"27005440\", alpha=\"0.20\", expect_size=\"10802176\"] \n  5 -> 6 [size =\"10802176\"]\n  6 [size=\"48742400\", alpha=\"0.06\", expect_size=\"19496960\"] \n  6 -> 7 [size =\"19496960\"]\n  7 [size=\"112785920\", alpha=\"0.08\", expect_size=\"45114368\"] \n  7 -> 8 [size =\"45114368\"]\n  8 [size=\"20682240\", alpha=\"0.01\", expect_size=\"8272896\"] \n  8 -> 9 [size =\"8272896\"]\n  9 [size=\"128870400\", alpha=\"0.15\", expect_size=\"51548160\"] \n  9 -> 10 [size =\"51548160\"]\n  10 [size=\"35704320\", alpha=\"0.18\", expect_size=\"14281728\"] \n  10 -> 11 [size =\"14281728\"]\n  11 [size=\"91865600\", alpha=\"0.08\", expect_size=\"36746240\"] \n  11 -> 12 [size =\"36746240\"]\n  12 [size=\"20974080\", alpha=\"0.19\", expect_size=\"8389632\"] \n  12 -> 13 [size =\"8389632\"]\n  13 [size=\"101975040\", alpha=\"0.15\", expect_size=\"40790016\"] \n  13 -> 14 [size =\"40790016\"]\n  14 [size=\"33116160\", alpha=\"0.03\", expect_size=\"13246464\"] \n  14 -> 15 [size =\"13246464\"]\n  15 [size=\"36206080\", alpha=\"0.13\", expect_size=\"14482432\"] \n  15 -> 16 [size =\"14482432\"]\n  16 [size=\"34483200\", alpha=\"0.12\", expect_size=\"13793280\"] \n  16 -> 17 [size =\"13793280\"]\n  17 [size=\"70873600\", alpha=\"0.19\", expect_size=\"28349440\"] \n  17 -> 18 [size =\"28349440\"]\n  18 [size=\"116474880\", alpha=\"0.19\", expect_size=\"46589952\"] \n  18 -> 19 [size =\"46589952\"]\n  19 [size=\"121676800\", alpha=\"0.16\", expect_size=\"48670720\"] \n  19 -> 20 [size =\"48670720\"]\n  20 [size=\"90240000\", alpha=\"0.17\", expect_size=\"36096000\"] \n  20 -> 21 [size =\"36096000\"]\n  21 [size=\"77245440\", alpha=\"0.03\", expect_size=\"30898176\"] \n  21 -> 22 [size =\"30898176\"]\n  22 [size=\"122808320\", alpha=\"0.04\", expect_size=\"49123328\"] \n  22 -> 23 [size =\"49123328\"]\n  23 [size=\"116313600\", alpha=\"0.03\", expect_size=\"46525440\"] \n  23 -> 24 [size =\"46525440\"]\n  24 [size=\"88883200\", alpha=\"0.12\", expect_size=\"35553280\"] \n  24 -> 25 [size =\"35553280\"]\n  25 [size=\"109457920\", alpha=\"0.04\", expect_size=\"43783168\"] \n  25 -> 26 [size =\"43783168\"]\n  26 [size=\"65336320\", alpha=\"0.02\", expect_size=\"26134528\"] \n  26 -> 27 [size =\"26134528\"]\n  27 [size=\"18624000\", alpha=\"0.16\", expect_size=\"7449600\"] \n  27 -> 28 [size =\"7449600\"]\n  28 [size=\"13550080\", alpha=\"0.12\", expect_size=\"5420032\"] \n  28 -> 29 [size =\"5420032\"]\n  29 [size=\"124695040\", alpha=\"0.08\", expect_size=\"49878016\"] \n  29 -> 30 [size =\"49878016\"]\n  30 [size=\"100738560\", alpha=\"0.07\", expect_size=\"40295424\"] \n  30 -> 31 [size =\"40295424\"]\n  31 [size=\"80542720\", alpha=\"0.20\", expect_size=\"32217088\"] \n  31 -> 32 [size =\"32217088\"]\n  32 [size=\"100400640\", alpha=\"0.14\", expect_size=\"40160256\"] \n  32 -> 33 [size =\"40160256\"]\n  33 [size=\"126827520\", alpha=\"0.03\", expect_size=\"50731008\"] \n  33 -> 34 [size =\"50731008\"]\n  34 [size=\"26992640\", alpha=\"0.15\", expect_size=\"10797056\"] \n  34 -> 35 [size =\"10797056\"]\n  35 [size=\"100014080\", alpha=\"0.12\", expect_size=\"40005632\"] \n  35 -> 36 [size =\"40005632\"]\n  36 [size=\"123865600\", alpha=\"0.12\", expect_size=\"49546240\"] \n  36 -> 37 [size =\"49546240\"]\n  37 [size=\"16217600\", alpha=\"0.02\", expect_size=\"6487040\"] \n  37 -> 38 [size =\"6487040\"]\n  38 [size=\"112678400\", alpha=\"0.09\", expect_size=\"45071360\"] \n  38 -> 39 [size =\"45071360\"]\n  39 [size=\"66933760\", alpha=\"0.15\", expect_size=\"26773504\"] \n  39 -> 40 [size =\"26773504\"]\n  40 [size=\"112709120\", alpha=\"0.14\", expect_size=\"45083648\"] \n  40 -> 41 [size =\"45083648\"]\n  41 [size=\"36677120\", alpha=\"0.03\", expect_size=\"14670848\"] \n  41 -> 42 [size =\"14670848\"]\n  42 [size=\"35560960\", alpha=\"0.12\", expect_size=\"14224384\"] \n  42 -> 43 [size =\"14224384\"]\n  43 [size=\"117227520\", alpha=\"0.18\", expect_size=\"46891008\"] \n  43 -> 44 [size =\"46891008\"]\n  44 [size=\"16655360\", alpha=\"0.16\", expect_size=\"6662144\"] \n  44 -> 45 [size =\"6662144\"]\n  45 [size=\"107745280\", alpha=\"0.11\", expect_size=\"43098112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103646720\", alpha=\"0.01\", expect_size=\"41458688\"] \n  1 -> 17 [size =\"41458688\"]\n  1 -> 19 [size =\"41458688\"]\n  1 -> 20 [size =\"41458688\"]\n  1 -> 23 [size =\"41458688\"]\n  2 [size=\"102023680\", alpha=\"0.16\", expect_size=\"40809472\"] \n  2 -> 25 [size =\"40809472\"]\n  3 [size=\"106073600\", alpha=\"0.15\", expect_size=\"42429440\"] \n  3 -> 15 [size =\"42429440\"]\n  3 -> 18 [size =\"42429440\"]\n  3 -> 21 [size =\"42429440\"]\n  3 -> 22 [size =\"42429440\"]\n  3 -> 24 [size =\"42429440\"]\n  4 [size=\"88729600\", alpha=\"0.10\", expect_size=\"35491840\"] \n  4 -> 17 [size =\"35491840\"]\n  4 -> 18 [size =\"35491840\"]\n  4 -> 25 [size =\"35491840\"]\n  5 [size=\"129144320\", alpha=\"0.06\", expect_size=\"51657728\"] \n  5 -> 21 [size =\"51657728\"]\n  5 -> 23 [size =\"51657728\"]\n  6 [size=\"60170240\", alpha=\"0.05\", expect_size=\"24068096\"] \n  6 -> 14 [size =\"24068096\"]\n  6 -> 15 [size =\"24068096\"]\n  6 -> 17 [size =\"24068096\"]\n  6 -> 26 [size =\"24068096\"]\n  7 [size=\"75064320\", alpha=\"0.02\", expect_size=\"30025728\"] \n  7 -> 15 [size =\"30025728\"]\n  7 -> 20 [size =\"30025728\"]\n  7 -> 25 [size =\"30025728\"]\n  8 [size=\"34191360\", alpha=\"0.11\", expect_size=\"13676544\"] \n  8 -> 25 [size =\"13676544\"]\n  9 [size=\"63764480\", alpha=\"0.10\", expect_size=\"25505792\"] \n  9 -> 15 [size =\"25505792\"]\n  9 -> 17 [size =\"25505792\"]\n  9 -> 20 [size =\"25505792\"]\n  9 -> 21 [size =\"25505792\"]\n  9 -> 25 [size =\"25505792\"]\n  10 [size=\"115607040\", alpha=\"0.18\", expect_size=\"46242816\"] \n  10 -> 17 [size =\"46242816\"]\n  10 -> 24 [size =\"46242816\"]\n  10 -> 25 [size =\"46242816\"]\n  11 [size=\"125468160\", alpha=\"0.10\", expect_size=\"50187264\"] \n  11 -> 14 [size =\"50187264\"]\n  11 -> 17 [size =\"50187264\"]\n  11 -> 22 [size =\"50187264\"]\n  11 -> 24 [size =\"50187264\"]\n  11 -> 25 [size =\"50187264\"]\n  12 [size=\"13340160\", alpha=\"0.06\", expect_size=\"5336064\"] \n  12 -> 16 [size =\"5336064\"]\n  12 -> 21 [size =\"5336064\"]\n  12 -> 25 [size =\"5336064\"]\n  13 [size=\"109224960\", alpha=\"0.15\", expect_size=\"43689984\"] \n  13 -> 17 [size =\"43689984\"]\n  13 -> 22 [size =\"43689984\"]\n  14 [size=\"79705600\", alpha=\"0.19\", expect_size=\"31882240\"] \n  14 -> 29 [size =\"31882240\"]\n  14 -> 36 [size =\"31882240\"]\n  15 [size=\"18265600\", alpha=\"0.13\", expect_size=\"7306240\"] \n  15 -> 27 [size =\"7306240\"]\n  15 -> 36 [size =\"7306240\"]\n  15 -> 39 [size =\"7306240\"]\n  16 [size=\"52492800\", alpha=\"0.02\", expect_size=\"20997120\"] \n  16 -> 30 [size =\"20997120\"]\n  16 -> 32 [size =\"20997120\"]\n  16 -> 36 [size =\"20997120\"]\n  16 -> 37 [size =\"20997120\"]\n  16 -> 39 [size =\"20997120\"]\n  17 [size=\"80545280\", alpha=\"0.11\", expect_size=\"32218112\"] \n  17 -> 31 [size =\"32218112\"]\n  17 -> 32 [size =\"32218112\"]\n  17 -> 35 [size =\"32218112\"]\n  18 [size=\"91829760\", alpha=\"0.02\", expect_size=\"36731904\"] \n  18 -> 29 [size =\"36731904\"]\n  18 -> 30 [size =\"36731904\"]\n  18 -> 31 [size =\"36731904\"]\n  18 -> 32 [size =\"36731904\"]\n  18 -> 35 [size =\"36731904\"]\n  18 -> 38 [size =\"36731904\"]\n  19 [size=\"36858880\", alpha=\"0.16\", expect_size=\"14743552\"] \n  19 -> 33 [size =\"14743552\"]\n  19 -> 36 [size =\"14743552\"]\n  19 -> 37 [size =\"14743552\"]\n  20 [size=\"93685760\", alpha=\"0.17\", expect_size=\"37474304\"] \n  20 -> 31 [size =\"37474304\"]\n  20 -> 32 [size =\"37474304\"]\n  20 -> 33 [size =\"37474304\"]\n  20 -> 36 [size =\"37474304\"]\n  20 -> 38 [size =\"37474304\"]\n  21 [size=\"84710400\", alpha=\"0.14\", expect_size=\"33884160\"] \n  21 -> 27 [size =\"33884160\"]\n  21 -> 29 [size =\"33884160\"]\n  21 -> 32 [size =\"33884160\"]\n  21 -> 37 [size =\"33884160\"]\n  21 -> 39 [size =\"33884160\"]\n  22 [size=\"24409600\", alpha=\"0.05\", expect_size=\"9763840\"] \n  22 -> 28 [size =\"9763840\"]\n  22 -> 29 [size =\"9763840\"]\n  22 -> 36 [size =\"9763840\"]\n  23 [size=\"62548480\", alpha=\"0.13\", expect_size=\"25019392\"] \n  23 -> 28 [size =\"25019392\"]\n  23 -> 33 [size =\"25019392\"]\n  24 [size=\"35174400\", alpha=\"0.13\", expect_size=\"14069760\"] \n  24 -> 32 [size =\"14069760\"]\n  24 -> 37 [size =\"14069760\"]\n  24 -> 39 [size =\"14069760\"]\n  25 [size=\"29488640\", alpha=\"0.13\", expect_size=\"11795456\"] \n  25 -> 28 [size =\"11795456\"]\n  25 -> 32 [size =\"11795456\"]\n  25 -> 35 [size =\"11795456\"]\n  26 [size=\"106534400\", alpha=\"0.01\", expect_size=\"42613760\"] \n  26 -> 34 [size =\"42613760\"]\n  26 -> 35 [size =\"42613760\"]\n  26 -> 38 [size =\"42613760\"]\n  27 [size=\"116615680\", alpha=\"0.19\", expect_size=\"46646272\"] \n  27 -> 41 [size =\"46646272\"]\n  27 -> 43 [size =\"46646272\"]\n  27 -> 45 [size =\"46646272\"]\n  28 [size=\"65239040\", alpha=\"0.01\", expect_size=\"26095616\"] \n  28 -> 40 [size =\"26095616\"]\n  28 -> 41 [size =\"26095616\"]\n  28 -> 43 [size =\"26095616\"]\n  28 -> 45 [size =\"26095616\"]\n  29 [size=\"77621760\", alpha=\"0.12\", expect_size=\"31048704\"] \n  29 -> 40 [size =\"31048704\"]\n  29 -> 43 [size =\"31048704\"]\n  29 -> 43 [size =\"31048704\"]\n  29 -> 44 [size =\"31048704\"]\n  30 [size=\"53760000\", alpha=\"0.19\", expect_size=\"21504000\"] \n  30 -> 40 [size =\"21504000\"]\n  31 [size=\"36984320\", alpha=\"0.06\", expect_size=\"14793728\"] \n  31 -> 40 [size =\"14793728\"]\n  31 -> 42 [size =\"14793728\"]\n  31 -> 45 [size =\"14793728\"]\n  32 [size=\"117834240\", alpha=\"0.13\", expect_size=\"47133696\"] \n  32 -> 41 [size =\"47133696\"]\n  32 -> 45 [size =\"47133696\"]\n  33 [size=\"31331840\", alpha=\"0.17\", expect_size=\"12532736\"] \n  33 -> 41 [size =\"12532736\"]\n  33 -> 45 [size =\"12532736\"]\n  34 [size=\"106375680\", alpha=\"0.11\", expect_size=\"42550272\"] \n  34 -> 40 [size =\"42550272\"]\n  34 -> 41 [size =\"42550272\"]\n  34 -> 42 [size =\"42550272\"]\n  34 -> 43 [size =\"42550272\"]\n  34 -> 45 [size =\"42550272\"]\n  35 [size=\"64696320\", alpha=\"0.07\", expect_size=\"25878528\"] \n  35 -> 41 [size =\"25878528\"]\n  35 -> 43 [size =\"25878528\"]\n  35 -> 44 [size =\"25878528\"]\n  35 -> 45 [size =\"25878528\"]\n  36 [size=\"22328320\", alpha=\"0.09\", expect_size=\"8931328\"] \n  36 -> 40 [size =\"8931328\"]\n  36 -> 44 [size =\"8931328\"]\n  37 [size=\"26342400\", alpha=\"0.02\", expect_size=\"10536960\"] \n  37 -> 40 [size =\"10536960\"]\n  37 -> 41 [size =\"10536960\"]\n  38 [size=\"20728320\", alpha=\"0.09\", expect_size=\"8291328\"] \n  38 -> 43 [size =\"8291328\"]\n  38 -> 44 [size =\"8291328\"]\n  39 [size=\"26572800\", alpha=\"0.00\", expect_size=\"10629120\"] \n  39 -> 43 [size =\"10629120\"]\n  39 -> 45 [size =\"10629120\"]\n  40 [size=\"94533120\", alpha=\"0.05\", expect_size=\"37813248\"] \n  41 [size=\"91182080\", alpha=\"0.02\", expect_size=\"36472832\"] \n  42 [size=\"128880640\", alpha=\"0.00\", expect_size=\"51552256\"] \n  43 [size=\"89899520\", alpha=\"0.07\", expect_size=\"35959808\"] \n  44 [size=\"70356480\", alpha=\"0.18\", expect_size=\"28142592\"] \n  45 [size=\"18887680\", alpha=\"0.12\", expect_size=\"7555072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78651392\", alpha=\"0.10\", expect_size=\"39325696\"] \n  1 -> 2 [size =\"39325696\"]\n  2 [size=\"101570560\", alpha=\"0.04\", expect_size=\"50785280\"] \n  2 -> 3 [size =\"50785280\"]\n  3 [size=\"15933440\", alpha=\"0.03\", expect_size=\"7966720\"] \n  3 -> 4 [size =\"7966720\"]\n  4 [size=\"85749760\", alpha=\"0.07\", expect_size=\"42874880\"] \n  4 -> 5 [size =\"42874880\"]\n  5 [size=\"36890624\", alpha=\"0.10\", expect_size=\"18445312\"] \n  5 -> 6 [size =\"18445312\"]\n  6 [size=\"69654528\", alpha=\"0.06\", expect_size=\"34827264\"] \n  6 -> 7 [size =\"34827264\"]\n  7 [size=\"26824704\", alpha=\"0.17\", expect_size=\"13412352\"] \n  7 -> 8 [size =\"13412352\"]\n  8 [size=\"44609536\", alpha=\"0.03\", expect_size=\"22304768\"] \n  8 -> 9 [size =\"22304768\"]\n  9 [size=\"95612928\", alpha=\"0.09\", expect_size=\"47806464\"] \n  9 -> 10 [size =\"47806464\"]\n  10 [size=\"34975744\", alpha=\"0.07\", expect_size=\"17487872\"] \n  10 -> 11 [size =\"17487872\"]\n  11 [size=\"45760512\", alpha=\"0.13\", expect_size=\"22880256\"] \n  11 -> 12 [size =\"22880256\"]\n  12 [size=\"90681344\", alpha=\"0.02\", expect_size=\"45340672\"] \n  12 -> 13 [size =\"45340672\"]\n  13 [size=\"16758784\", alpha=\"0.20\", expect_size=\"8379392\"] \n  13 -> 14 [size =\"8379392\"]\n  14 [size=\"32751616\", alpha=\"0.08\", expect_size=\"16375808\"] \n  14 -> 15 [size =\"16375808\"]\n  15 [size=\"64208896\", alpha=\"0.16\", expect_size=\"32104448\"] \n  15 -> 16 [size =\"32104448\"]\n  16 [size=\"15116288\", alpha=\"0.09\", expect_size=\"7558144\"] \n  16 -> 17 [size =\"7558144\"]\n  17 [size=\"42389504\", alpha=\"0.07\", expect_size=\"21194752\"] \n  17 -> 18 [size =\"21194752\"]\n  18 [size=\"26312704\", alpha=\"0.12\", expect_size=\"13156352\"] \n  18 -> 19 [size =\"13156352\"]\n  19 [size=\"40556544\", alpha=\"0.13\", expect_size=\"20278272\"] \n  19 -> 20 [size =\"20278272\"]\n  20 [size=\"84449280\", alpha=\"0.14\", expect_size=\"42224640\"] \n  20 -> 21 [size =\"42224640\"]\n  21 [size=\"22573056\", alpha=\"0.09\", expect_size=\"11286528\"] \n  21 -> 22 [size =\"11286528\"]\n  22 [size=\"82677760\", alpha=\"0.04\", expect_size=\"41338880\"] \n  22 -> 23 [size =\"41338880\"]\n  23 [size=\"94349312\", alpha=\"0.00\", expect_size=\"47174656\"] \n  23 -> 24 [size =\"47174656\"]\n  24 [size=\"92217344\", alpha=\"0.12\", expect_size=\"46108672\"] \n  24 -> 25 [size =\"46108672\"]\n  25 [size=\"36573184\", alpha=\"0.10\", expect_size=\"18286592\"] \n  25 -> 26 [size =\"18286592\"]\n  26 [size=\"17399808\", alpha=\"0.00\", expect_size=\"8699904\"] \n  26 -> 27 [size =\"8699904\"]\n  27 [size=\"58025984\", alpha=\"0.14\", expect_size=\"29012992\"] \n  27 -> 28 [size =\"29012992\"]\n  28 [size=\"92416000\", alpha=\"0.15\", expect_size=\"46208000\"] \n  28 -> 29 [size =\"46208000\"]\n  29 [size=\"55777280\", alpha=\"0.13\", expect_size=\"27888640\"] \n  29 -> 30 [size =\"27888640\"]\n  30 [size=\"20465664\", alpha=\"0.18\", expect_size=\"10232832\"] \n  30 -> 31 [size =\"10232832\"]\n  31 [size=\"85039104\", alpha=\"0.09\", expect_size=\"42519552\"] \n  31 -> 32 [size =\"42519552\"]\n  32 [size=\"34549760\", alpha=\"0.18\", expect_size=\"17274880\"] \n  32 -> 33 [size =\"17274880\"]\n  33 [size=\"54452224\", alpha=\"0.08\", expect_size=\"27226112\"] \n  33 -> 34 [size =\"27226112\"]\n  34 [size=\"55824384\", alpha=\"0.02\", expect_size=\"27912192\"] \n  34 -> 35 [size =\"27912192\"]\n  35 [size=\"19560448\", alpha=\"0.08\", expect_size=\"9780224\"] \n  35 -> 36 [size =\"9780224\"]\n  36 [size=\"66433024\", alpha=\"0.15\", expect_size=\"33216512\"] \n  36 -> 37 [size =\"33216512\"]\n  37 [size=\"66875392\", alpha=\"0.09\", expect_size=\"33437696\"] \n  37 -> 38 [size =\"33437696\"]\n  38 [size=\"37222400\", alpha=\"0.06\", expect_size=\"18611200\"] \n  38 -> 39 [size =\"18611200\"]\n  39 [size=\"11599872\", alpha=\"0.09\", expect_size=\"5799936\"] \n  39 -> 40 [size =\"5799936\"]\n  40 [size=\"75137024\", alpha=\"0.09\", expect_size=\"37568512\"] \n  40 -> 41 [size =\"37568512\"]\n  41 [size=\"63580160\", alpha=\"0.10\", expect_size=\"31790080\"] \n  41 -> 42 [size =\"31790080\"]\n  42 [size=\"12204032\", alpha=\"0.07\", expect_size=\"6102016\"] \n  42 -> 43 [size =\"6102016\"]\n  43 [size=\"95576064\", alpha=\"0.02\", expect_size=\"47788032\"] \n  43 -> 44 [size =\"47788032\"]\n  44 [size=\"36853760\", alpha=\"0.14\", expect_size=\"18426880\"] \n  44 -> 45 [size =\"18426880\"]\n  45 [size=\"47052800\", alpha=\"0.12\", expect_size=\"23526400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72898560\", alpha=\"0.10\", expect_size=\"36449280\"] \n  1 -> 30 [size =\"36449280\"]\n  1 -> 33 [size =\"36449280\"]\n  1 -> 34 [size =\"36449280\"]\n  1 -> 36 [size =\"36449280\"]\n  1 -> 44 [size =\"36449280\"]\n  2 [size=\"53776384\", alpha=\"0.09\", expect_size=\"26888192\"] \n  2 -> 28 [size =\"26888192\"]\n  2 -> 30 [size =\"26888192\"]\n  2 -> 33 [size =\"26888192\"]\n  2 -> 41 [size =\"26888192\"]\n  2 -> 45 [size =\"26888192\"]\n  3 [size=\"64202752\", alpha=\"0.07\", expect_size=\"32101376\"] \n  3 -> 28 [size =\"32101376\"]\n  3 -> 29 [size =\"32101376\"]\n  3 -> 30 [size =\"32101376\"]\n  3 -> 32 [size =\"32101376\"]\n  3 -> 34 [size =\"32101376\"]\n  3 -> 36 [size =\"32101376\"]\n  3 -> 45 [size =\"32101376\"]\n  4 [size=\"20649984\", alpha=\"0.17\", expect_size=\"10324992\"] \n  4 -> 28 [size =\"10324992\"]\n  4 -> 29 [size =\"10324992\"]\n  4 -> 30 [size =\"10324992\"]\n  4 -> 33 [size =\"10324992\"]\n  4 -> 34 [size =\"10324992\"]\n  4 -> 36 [size =\"10324992\"]\n  4 -> 37 [size =\"10324992\"]\n  4 -> 44 [size =\"10324992\"]\n  4 -> 45 [size =\"10324992\"]\n  5 [size=\"73625600\", alpha=\"0.15\", expect_size=\"36812800\"] \n  5 -> 30 [size =\"36812800\"]\n  5 -> 33 [size =\"36812800\"]\n  5 -> 35 [size =\"36812800\"]\n  5 -> 41 [size =\"36812800\"]\n  5 -> 45 [size =\"36812800\"]\n  6 [size=\"84199424\", alpha=\"0.01\", expect_size=\"42099712\"] \n  6 -> 32 [size =\"42099712\"]\n  6 -> 33 [size =\"42099712\"]\n  6 -> 41 [size =\"42099712\"]\n  6 -> 43 [size =\"42099712\"]\n  7 [size=\"34000896\", alpha=\"0.07\", expect_size=\"17000448\"] \n  7 -> 32 [size =\"17000448\"]\n  7 -> 33 [size =\"17000448\"]\n  7 -> 34 [size =\"17000448\"]\n  7 -> 44 [size =\"17000448\"]\n  7 -> 45 [size =\"17000448\"]\n  8 [size=\"57339904\", alpha=\"0.13\", expect_size=\"28669952\"] \n  8 -> 32 [size =\"28669952\"]\n  8 -> 33 [size =\"28669952\"]\n  8 -> 34 [size =\"28669952\"]\n  8 -> 37 [size =\"28669952\"]\n  8 -> 45 [size =\"28669952\"]\n  9 [size=\"97228800\", alpha=\"0.07\", expect_size=\"48614400\"] \n  9 -> 29 [size =\"48614400\"]\n  9 -> 31 [size =\"48614400\"]\n  9 -> 33 [size =\"48614400\"]\n  9 -> 34 [size =\"48614400\"]\n  9 -> 37 [size =\"48614400\"]\n  9 -> 44 [size =\"48614400\"]\n  9 -> 45 [size =\"48614400\"]\n  10 [size=\"57253888\", alpha=\"0.14\", expect_size=\"28626944\"] \n  10 -> 33 [size =\"28626944\"]\n  10 -> 34 [size =\"28626944\"]\n  10 -> 37 [size =\"28626944\"]\n  10 -> 38 [size =\"28626944\"]\n  10 -> 44 [size =\"28626944\"]\n  10 -> 45 [size =\"28626944\"]\n  10 -> 45 [size =\"28626944\"]\n  11 [size=\"59979776\", alpha=\"0.02\", expect_size=\"29989888\"] \n  11 -> 29 [size =\"29989888\"]\n  11 -> 30 [size =\"29989888\"]\n  11 -> 33 [size =\"29989888\"]\n  11 -> 34 [size =\"29989888\"]\n  11 -> 35 [size =\"29989888\"]\n  11 -> 36 [size =\"29989888\"]\n  11 -> 40 [size =\"29989888\"]\n  11 -> 44 [size =\"29989888\"]\n  11 -> 45 [size =\"29989888\"]\n  12 [size=\"14168064\", alpha=\"0.12\", expect_size=\"7084032\"] \n  12 -> 29 [size =\"7084032\"]\n  12 -> 30 [size =\"7084032\"]\n  12 -> 33 [size =\"7084032\"]\n  12 -> 34 [size =\"7084032\"]\n  12 -> 36 [size =\"7084032\"]\n  12 -> 44 [size =\"7084032\"]\n  13 [size=\"56330240\", alpha=\"0.05\", expect_size=\"28165120\"] \n  13 -> 29 [size =\"28165120\"]\n  13 -> 30 [size =\"28165120\"]\n  13 -> 34 [size =\"28165120\"]\n  13 -> 36 [size =\"28165120\"]\n  14 [size=\"88524800\", alpha=\"0.13\", expect_size=\"44262400\"] \n  14 -> 30 [size =\"44262400\"]\n  14 -> 34 [size =\"44262400\"]\n  14 -> 36 [size =\"44262400\"]\n  14 -> 42 [size =\"44262400\"]\n  14 -> 43 [size =\"44262400\"]\n  14 -> 44 [size =\"44262400\"]\n  15 [size=\"75880448\", alpha=\"0.19\", expect_size=\"37940224\"] \n  15 -> 31 [size =\"37940224\"]\n  15 -> 34 [size =\"37940224\"]\n  15 -> 36 [size =\"37940224\"]\n  15 -> 37 [size =\"37940224\"]\n  15 -> 38 [size =\"37940224\"]\n  15 -> 40 [size =\"37940224\"]\n  15 -> 44 [size =\"37940224\"]\n  16 [size=\"50505728\", alpha=\"0.01\", expect_size=\"25252864\"] \n  16 -> 30 [size =\"25252864\"]\n  16 -> 31 [size =\"25252864\"]\n  16 -> 32 [size =\"25252864\"]\n  16 -> 34 [size =\"25252864\"]\n  16 -> 36 [size =\"25252864\"]\n  16 -> 37 [size =\"25252864\"]\n  16 -> 41 [size =\"25252864\"]\n  17 [size=\"57210880\", alpha=\"0.10\", expect_size=\"28605440\"] \n  17 -> 29 [size =\"28605440\"]\n  17 -> 30 [size =\"28605440\"]\n  17 -> 31 [size =\"28605440\"]\n  17 -> 32 [size =\"28605440\"]\n  17 -> 34 [size =\"28605440\"]\n  17 -> 45 [size =\"28605440\"]\n  18 [size=\"91707392\", alpha=\"0.01\", expect_size=\"45853696\"] \n  18 -> 30 [size =\"45853696\"]\n  18 -> 31 [size =\"45853696\"]\n  18 -> 31 [size =\"45853696\"]\n  18 -> 33 [size =\"45853696\"]\n  18 -> 34 [size =\"45853696\"]\n  18 -> 36 [size =\"45853696\"]\n  18 -> 37 [size =\"45853696\"]\n  18 -> 39 [size =\"45853696\"]\n  18 -> 42 [size =\"45853696\"]\n  18 -> 45 [size =\"45853696\"]\n  19 [size=\"56795136\", alpha=\"0.08\", expect_size=\"28397568\"] \n  19 -> 30 [size =\"28397568\"]\n  19 -> 34 [size =\"28397568\"]\n  19 -> 36 [size =\"28397568\"]\n  19 -> 37 [size =\"28397568\"]\n  19 -> 38 [size =\"28397568\"]\n  19 -> 44 [size =\"28397568\"]\n  20 [size=\"88842240\", alpha=\"0.18\", expect_size=\"44421120\"] \n  20 -> 29 [size =\"44421120\"]\n  20 -> 30 [size =\"44421120\"]\n  20 -> 32 [size =\"44421120\"]\n  20 -> 33 [size =\"44421120\"]\n  20 -> 34 [size =\"44421120\"]\n  20 -> 35 [size =\"44421120\"]\n  20 -> 36 [size =\"44421120\"]\n  20 -> 37 [size =\"44421120\"]\n  20 -> 40 [size =\"44421120\"]\n  20 -> 41 [size =\"44421120\"]\n  20 -> 42 [size =\"44421120\"]\n  21 [size=\"62363648\", alpha=\"0.01\", expect_size=\"31181824\"] \n  21 -> 30 [size =\"31181824\"]\n  21 -> 34 [size =\"31181824\"]\n  21 -> 35 [size =\"31181824\"]\n  21 -> 36 [size =\"31181824\"]\n  21 -> 37 [size =\"31181824\"]\n  22 [size=\"71004160\", alpha=\"0.13\", expect_size=\"35502080\"] \n  22 -> 30 [size =\"35502080\"]\n  22 -> 36 [size =\"35502080\"]\n  22 -> 37 [size =\"35502080\"]\n  22 -> 39 [size =\"35502080\"]\n  22 -> 42 [size =\"35502080\"]\n  23 [size=\"32753664\", alpha=\"0.17\", expect_size=\"16376832\"] \n  23 -> 30 [size =\"16376832\"]\n  23 -> 33 [size =\"16376832\"]\n  23 -> 36 [size =\"16376832\"]\n  23 -> 40 [size =\"16376832\"]\n  23 -> 44 [size =\"16376832\"]\n  24 [size=\"57063424\", alpha=\"0.02\", expect_size=\"28531712\"] \n  24 -> 30 [size =\"28531712\"]\n  24 -> 33 [size =\"28531712\"]\n  24 -> 36 [size =\"28531712\"]\n  24 -> 38 [size =\"28531712\"]\n  24 -> 44 [size =\"28531712\"]\n  24 -> 45 [size =\"28531712\"]\n  25 [size=\"21788672\", alpha=\"0.02\", expect_size=\"10894336\"] \n  25 -> 28 [size =\"10894336\"]\n  25 -> 29 [size =\"10894336\"]\n  25 -> 36 [size =\"10894336\"]\n  25 -> 44 [size =\"10894336\"]\n  26 [size=\"18032640\", alpha=\"0.16\", expect_size=\"9016320\"] \n  26 -> 29 [size =\"9016320\"]\n  26 -> 32 [size =\"9016320\"]\n  26 -> 33 [size =\"9016320\"]\n  26 -> 37 [size =\"9016320\"]\n  26 -> 40 [size =\"9016320\"]\n  26 -> 44 [size =\"9016320\"]\n  27 [size=\"22081536\", alpha=\"0.16\", expect_size=\"11040768\"] \n  27 -> 32 [size =\"11040768\"]\n  27 -> 33 [size =\"11040768\"]\n  27 -> 33 [size =\"11040768\"]\n  27 -> 34 [size =\"11040768\"]\n  27 -> 38 [size =\"11040768\"]\n  27 -> 42 [size =\"11040768\"]\n  27 -> 44 [size =\"11040768\"]\n  28 [size=\"71292928\", alpha=\"0.06\", expect_size=\"35646464\"] \n  29 [size=\"77355008\", alpha=\"0.14\", expect_size=\"38677504\"] \n  30 [size=\"22145024\", alpha=\"0.11\", expect_size=\"11072512\"] \n  31 [size=\"12965888\", alpha=\"0.20\", expect_size=\"6482944\"] \n  32 [size=\"17860608\", alpha=\"0.09\", expect_size=\"8930304\"] \n  33 [size=\"80119808\", alpha=\"0.08\", expect_size=\"40059904\"] \n  34 [size=\"64718848\", alpha=\"0.03\", expect_size=\"32359424\"] \n  35 [size=\"76193792\", alpha=\"0.13\", expect_size=\"38096896\"] \n  36 [size=\"83312640\", alpha=\"0.10\", expect_size=\"41656320\"] \n  37 [size=\"65419264\", alpha=\"0.18\", expect_size=\"32709632\"] \n  38 [size=\"46030848\", alpha=\"0.03\", expect_size=\"23015424\"] \n  39 [size=\"72003584\", alpha=\"0.18\", expect_size=\"36001792\"] \n  40 [size=\"41334784\", alpha=\"0.09\", expect_size=\"20667392\"] \n  41 [size=\"95168512\", alpha=\"0.11\", expect_size=\"47584256\"] \n  42 [size=\"94253056\", alpha=\"0.06\", expect_size=\"47126528\"] \n  43 [size=\"42272768\", alpha=\"0.06\", expect_size=\"21136384\"] \n  44 [size=\"79448064\", alpha=\"0.16\", expect_size=\"39724032\"] \n  45 [size=\"95072256\", alpha=\"0.08\", expect_size=\"47536128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89233408\", alpha=\"0.19\", expect_size=\"44616704\"] \n  1 -> 7 [size =\"44616704\"]\n  1 -> 8 [size =\"44616704\"]\n  1 -> 11 [size =\"44616704\"]\n  1 -> 12 [size =\"44616704\"]\n  1 -> 14 [size =\"44616704\"]\n  2 [size=\"26882048\", alpha=\"0.03\", expect_size=\"13441024\"] \n  2 -> 7 [size =\"13441024\"]\n  2 -> 8 [size =\"13441024\"]\n  2 -> 11 [size =\"13441024\"]\n  2 -> 12 [size =\"13441024\"]\n  2 -> 13 [size =\"13441024\"]\n  3 [size=\"34648064\", alpha=\"0.06\", expect_size=\"17324032\"] \n  3 -> 7 [size =\"17324032\"]\n  3 -> 8 [size =\"17324032\"]\n  3 -> 9 [size =\"17324032\"]\n  3 -> 10 [size =\"17324032\"]\n  3 -> 13 [size =\"17324032\"]\n  4 [size=\"55050240\", alpha=\"0.08\", expect_size=\"27525120\"] \n  4 -> 7 [size =\"27525120\"]\n  4 -> 8 [size =\"27525120\"]\n  4 -> 10 [size =\"27525120\"]\n  4 -> 12 [size =\"27525120\"]\n  4 -> 13 [size =\"27525120\"]\n  4 -> 14 [size =\"27525120\"]\n  5 [size=\"19001344\", alpha=\"0.15\", expect_size=\"9500672\"] \n  5 -> 7 [size =\"9500672\"]\n  5 -> 11 [size =\"9500672\"]\n  5 -> 12 [size =\"9500672\"]\n  5 -> 13 [size =\"9500672\"]\n  5 -> 14 [size =\"9500672\"]\n  6 [size=\"10979328\", alpha=\"0.17\", expect_size=\"5489664\"] \n  6 -> 7 [size =\"5489664\"]\n  6 -> 8 [size =\"5489664\"]\n  6 -> 10 [size =\"5489664\"]\n  6 -> 11 [size =\"5489664\"]\n  6 -> 12 [size =\"5489664\"]\n  7 [size=\"33585152\", alpha=\"0.02\", expect_size=\"16792576\"] \n  7 -> 15 [size =\"16792576\"]\n  7 -> 18 [size =\"16792576\"]\n  8 [size=\"31467520\", alpha=\"0.19\", expect_size=\"15733760\"] \n  8 -> 15 [size =\"15733760\"]\n  8 -> 17 [size =\"15733760\"]\n  8 -> 18 [size =\"15733760\"]\n  9 [size=\"56543232\", alpha=\"0.07\", expect_size=\"28271616\"] \n  9 -> 15 [size =\"28271616\"]\n  9 -> 17 [size =\"28271616\"]\n  10 [size=\"94191616\", alpha=\"0.08\", expect_size=\"47095808\"] \n  10 -> 15 [size =\"47095808\"]\n  10 -> 16 [size =\"47095808\"]\n  10 -> 17 [size =\"47095808\"]\n  11 [size=\"16633856\", alpha=\"0.15\", expect_size=\"8316928\"] \n  11 -> 15 [size =\"8316928\"]\n  11 -> 16 [size =\"8316928\"]\n  11 -> 17 [size =\"8316928\"]\n  12 [size=\"104284160\", alpha=\"0.04\", expect_size=\"52142080\"] \n  12 -> 16 [size =\"52142080\"]\n  12 -> 16 [size =\"52142080\"]\n  12 -> 17 [size =\"52142080\"]\n  13 [size=\"23943168\", alpha=\"0.06\", expect_size=\"11971584\"] \n  14 [size=\"52729856\", alpha=\"0.04\", expect_size=\"26364928\"] \n  14 -> 15 [size =\"26364928\"]\n  15 [size=\"89358336\", alpha=\"0.19\", expect_size=\"44679168\"] \n  15 -> 19 [size =\"44679168\"]\n  15 -> 22 [size =\"44679168\"]\n  15 -> 23 [size =\"44679168\"]\n  16 [size=\"64026624\", alpha=\"0.11\", expect_size=\"32013312\"] \n  16 -> 20 [size =\"32013312\"]\n  16 -> 21 [size =\"32013312\"]\n  16 -> 22 [size =\"32013312\"]\n  16 -> 23 [size =\"32013312\"]\n  16 -> 24 [size =\"32013312\"]\n  17 [size=\"47984640\", alpha=\"0.02\", expect_size=\"23992320\"] \n  17 -> 21 [size =\"23992320\"]\n  17 -> 24 [size =\"23992320\"]\n  18 [size=\"58636288\", alpha=\"0.04\", expect_size=\"29318144\"] \n  18 -> 20 [size =\"29318144\"]\n  18 -> 21 [size =\"29318144\"]\n  18 -> 22 [size =\"29318144\"]\n  18 -> 23 [size =\"29318144\"]\n  18 -> 24 [size =\"29318144\"]\n  19 [size=\"55431168\", alpha=\"0.17\", expect_size=\"27715584\"] \n  19 -> 26 [size =\"27715584\"]\n  19 -> 28 [size =\"27715584\"]\n  19 -> 29 [size =\"27715584\"]\n  20 [size=\"88152064\", alpha=\"0.14\", expect_size=\"44076032\"] \n  20 -> 26 [size =\"44076032\"]\n  20 -> 29 [size =\"44076032\"]\n  21 [size=\"29784064\", alpha=\"0.08\", expect_size=\"14892032\"] \n  21 -> 26 [size =\"14892032\"]\n  21 -> 28 [size =\"14892032\"]\n  21 -> 29 [size =\"14892032\"]\n  22 [size=\"99577856\", alpha=\"0.06\", expect_size=\"49788928\"] \n  22 -> 25 [size =\"49788928\"]\n  22 -> 26 [size =\"49788928\"]\n  22 -> 27 [size =\"49788928\"]\n  22 -> 29 [size =\"49788928\"]\n  23 [size=\"24766464\", alpha=\"0.08\", expect_size=\"12383232\"] \n  23 -> 25 [size =\"12383232\"]\n  23 -> 26 [size =\"12383232\"]\n  23 -> 27 [size =\"12383232\"]\n  23 -> 28 [size =\"12383232\"]\n  23 -> 29 [size =\"12383232\"]\n  24 [size=\"53073920\", alpha=\"0.00\", expect_size=\"26536960\"] \n  24 -> 27 [size =\"26536960\"]\n  24 -> 28 [size =\"26536960\"]\n  25 [size=\"71333888\", alpha=\"0.14\", expect_size=\"35666944\"] \n  25 -> 31 [size =\"35666944\"]\n  25 -> 32 [size =\"35666944\"]\n  26 [size=\"67940352\", alpha=\"0.08\", expect_size=\"33970176\"] \n  26 -> 31 [size =\"33970176\"]\n  27 [size=\"25751552\", alpha=\"0.07\", expect_size=\"12875776\"] \n  27 -> 31 [size =\"12875776\"]\n  27 -> 32 [size =\"12875776\"]\n  28 [size=\"33193984\", alpha=\"0.10\", expect_size=\"16596992\"] \n  28 -> 30 [size =\"16596992\"]\n  28 -> 31 [size =\"16596992\"]\n  28 -> 32 [size =\"16596992\"]\n  28 -> 33 [size =\"16596992\"]\n  28 -> 34 [size =\"16596992\"]\n  29 [size=\"52320256\", alpha=\"0.03\", expect_size=\"26160128\"] \n  29 -> 31 [size =\"26160128\"]\n  29 -> 32 [size =\"26160128\"]\n  29 -> 32 [size =\"26160128\"]\n  29 -> 33 [size =\"26160128\"]\n  30 [size=\"37257216\", alpha=\"0.14\", expect_size=\"18628608\"] \n  30 -> 35 [size =\"18628608\"]\n  30 -> 37 [size =\"18628608\"]\n  31 [size=\"103804928\", alpha=\"0.06\", expect_size=\"51902464\"] \n  31 -> 35 [size =\"51902464\"]\n  31 -> 37 [size =\"51902464\"]\n  31 -> 38 [size =\"51902464\"]\n  32 [size=\"47597568\", alpha=\"0.18\", expect_size=\"23798784\"] \n  32 -> 35 [size =\"23798784\"]\n  32 -> 36 [size =\"23798784\"]\n  32 -> 37 [size =\"23798784\"]\n  33 [size=\"73773056\", alpha=\"0.13\", expect_size=\"36886528\"] \n  33 -> 35 [size =\"36886528\"]\n  33 -> 37 [size =\"36886528\"]\n  34 [size=\"17754112\", alpha=\"0.16\", expect_size=\"8877056\"] \n  34 -> 35 [size =\"8877056\"]\n  34 -> 37 [size =\"8877056\"]\n  34 -> 38 [size =\"8877056\"]\n  35 [size=\"18472960\", alpha=\"0.17\", expect_size=\"9236480\"] \n  35 -> 39 [size =\"9236480\"]\n  35 -> 40 [size =\"9236480\"]\n  35 -> 41 [size =\"9236480\"]\n  36 [size=\"84451328\", alpha=\"0.09\", expect_size=\"42225664\"] \n  36 -> 39 [size =\"42225664\"]\n  36 -> 41 [size =\"42225664\"]\n  36 -> 41 [size =\"42225664\"]\n  37 [size=\"27437056\", alpha=\"0.09\", expect_size=\"13718528\"] \n  38 [size=\"59275264\", alpha=\"0.19\", expect_size=\"29637632\"] \n  38 -> 41 [size =\"29637632\"]\n  39 [size=\"12206080\", alpha=\"0.18\", expect_size=\"6103040\"] \n  39 -> 42 [size =\"6103040\"]\n  39 -> 43 [size =\"6103040\"]\n  39 -> 45 [size =\"6103040\"]\n  40 [size=\"26658816\", alpha=\"0.14\", expect_size=\"13329408\"] \n  40 -> 42 [size =\"13329408\"]\n  40 -> 45 [size =\"13329408\"]\n  41 [size=\"91967488\", alpha=\"0.14\", expect_size=\"45983744\"] \n  41 -> 44 [size =\"45983744\"]\n  41 -> 45 [size =\"45983744\"]\n  42 [size=\"25538560\", alpha=\"0.13\", expect_size=\"12769280\"] \n  43 [size=\"15544320\", alpha=\"0.15\", expect_size=\"7772160\"] \n  44 [size=\"75440128\", alpha=\"0.06\", expect_size=\"37720064\"] \n  45 [size=\"58732544\", alpha=\"0.10\", expect_size=\"29366272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68058453\", alpha=\"0.04\", expect_size=\"20417536\"] \n  1 -> 2 [size =\"20417536\"]\n  2 [size=\"120132267\", alpha=\"0.08\", expect_size=\"36039680\"] \n  2 -> 3 [size =\"36039680\"]\n  3 [size=\"124863147\", alpha=\"0.02\", expect_size=\"37458944\"] \n  3 -> 4 [size =\"37458944\"]\n  4 [size=\"120265387\", alpha=\"0.12\", expect_size=\"36079616\"] \n  4 -> 5 [size =\"36079616\"]\n  5 [size=\"158979413\", alpha=\"0.07\", expect_size=\"47693824\"] \n  5 -> 6 [size =\"47693824\"]\n  6 [size=\"38929067\", alpha=\"0.17\", expect_size=\"11678720\"] \n  6 -> 7 [size =\"11678720\"]\n  7 [size=\"25644373\", alpha=\"0.10\", expect_size=\"7693312\"] \n  7 -> 8 [size =\"7693312\"]\n  8 [size=\"130020693\", alpha=\"0.03\", expect_size=\"39006208\"] \n  8 -> 9 [size =\"39006208\"]\n  9 [size=\"96617813\", alpha=\"0.05\", expect_size=\"28985344\"] \n  9 -> 10 [size =\"28985344\"]\n  10 [size=\"43704320\", alpha=\"0.07\", expect_size=\"13111296\"] \n  10 -> 11 [size =\"13111296\"]\n  11 [size=\"159068160\", alpha=\"0.02\", expect_size=\"47720448\"] \n  11 -> 12 [size =\"47720448\"]\n  12 [size=\"31293440\", alpha=\"0.05\", expect_size=\"9388032\"] \n  12 -> 13 [size =\"9388032\"]\n  13 [size=\"94617600\", alpha=\"0.01\", expect_size=\"28385280\"] \n  13 -> 14 [size =\"28385280\"]\n  14 [size=\"106554027\", alpha=\"0.16\", expect_size=\"31966208\"] \n  14 -> 15 [size =\"31966208\"]\n  15 [size=\"46735360\", alpha=\"0.04\", expect_size=\"14020608\"] \n  15 -> 16 [size =\"14020608\"]\n  16 [size=\"97993387\", alpha=\"0.01\", expect_size=\"29398016\"] \n  16 -> 17 [size =\"29398016\"]\n  17 [size=\"73659733\", alpha=\"0.04\", expect_size=\"22097920\"] \n  17 -> 18 [size =\"22097920\"]\n  18 [size=\"154992640\", alpha=\"0.11\", expect_size=\"46497792\"] \n  18 -> 19 [size =\"46497792\"]\n  19 [size=\"19073707\", alpha=\"0.16\", expect_size=\"5722112\"] \n  19 -> 20 [size =\"5722112\"]\n  20 [size=\"59299840\", alpha=\"0.15\", expect_size=\"17789952\"] \n  20 -> 21 [size =\"17789952\"]\n  21 [size=\"114165760\", alpha=\"0.00\", expect_size=\"34249728\"] \n  21 -> 22 [size =\"34249728\"]\n  22 [size=\"131997013\", alpha=\"0.18\", expect_size=\"39599104\"] \n  22 -> 23 [size =\"39599104\"]\n  23 [size=\"168492373\", alpha=\"0.11\", expect_size=\"50547712\"] \n  23 -> 24 [size =\"50547712\"]\n  24 [size=\"18141867\", alpha=\"0.16\", expect_size=\"5442560\"] \n  24 -> 25 [size =\"5442560\"]\n  25 [size=\"146227200\", alpha=\"0.19\", expect_size=\"43868160\"] \n  25 -> 26 [size =\"43868160\"]\n  26 [size=\"22439253\", alpha=\"0.05\", expect_size=\"6731776\"] \n  26 -> 27 [size =\"6731776\"]\n  27 [size=\"31467520\", alpha=\"0.12\", expect_size=\"9440256\"] \n  27 -> 28 [size =\"9440256\"]\n  28 [size=\"65607680\", alpha=\"0.13\", expect_size=\"19682304\"] \n  28 -> 29 [size =\"19682304\"]\n  29 [size=\"149114880\", alpha=\"0.04\", expect_size=\"44734464\"] \n  29 -> 30 [size =\"44734464\"]\n  30 [size=\"115493547\", alpha=\"0.19\", expect_size=\"34648064\"] \n  30 -> 31 [size =\"34648064\"]\n  31 [size=\"73588053\", alpha=\"0.11\", expect_size=\"22076416\"] \n  31 -> 32 [size =\"22076416\"]\n  32 [size=\"73980587\", alpha=\"0.06\", expect_size=\"22194176\"] \n  32 -> 33 [size =\"22194176\"]\n  33 [size=\"62037333\", alpha=\"0.10\", expect_size=\"18611200\"] \n  33 -> 34 [size =\"18611200\"]\n  34 [size=\"145152000\", alpha=\"0.06\", expect_size=\"43545600\"] \n  34 -> 35 [size =\"43545600\"]\n  35 [size=\"111537493\", alpha=\"0.05\", expect_size=\"33461248\"] \n  35 -> 36 [size =\"33461248\"]\n  36 [size=\"102700373\", alpha=\"0.14\", expect_size=\"30810112\"] \n  36 -> 37 [size =\"30810112\"]\n  37 [size=\"140093440\", alpha=\"0.11\", expect_size=\"42028032\"] \n  37 -> 38 [size =\"42028032\"]\n  38 [size=\"74598400\", alpha=\"0.05\", expect_size=\"22379520\"] \n  38 -> 39 [size =\"22379520\"]\n  39 [size=\"18766507\", alpha=\"0.19\", expect_size=\"5629952\"] \n  39 -> 40 [size =\"5629952\"]\n  40 [size=\"51732480\", alpha=\"0.19\", expect_size=\"15519744\"] \n  40 -> 41 [size =\"15519744\"]\n  41 [size=\"42448213\", alpha=\"0.11\", expect_size=\"12734464\"] \n  41 -> 42 [size =\"12734464\"]\n  42 [size=\"132505600\", alpha=\"0.17\", expect_size=\"39751680\"] \n  42 -> 43 [size =\"39751680\"]\n  43 [size=\"21149013\", alpha=\"0.03\", expect_size=\"6344704\"] \n  43 -> 44 [size =\"6344704\"]\n  44 [size=\"100092587\", alpha=\"0.09\", expect_size=\"30027776\"] \n  44 -> 45 [size =\"30027776\"]\n  45 [size=\"143841280\", alpha=\"0.11\", expect_size=\"43152384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73843200\", alpha=\"0.01\", expect_size=\"29537280\"] \n  1 -> 2 [size =\"29537280\"]\n  2 [size=\"57136640\", alpha=\"0.12\", expect_size=\"22854656\"] \n  2 -> 3 [size =\"22854656\"]\n  3 [size=\"77562880\", alpha=\"0.04\", expect_size=\"31025152\"] \n  3 -> 4 [size =\"31025152\"]\n  4 [size=\"43448320\", alpha=\"0.14\", expect_size=\"17379328\"] \n  4 -> 5 [size =\"17379328\"]\n  5 [size=\"121630720\", alpha=\"0.01\", expect_size=\"48652288\"] \n  5 -> 6 [size =\"48652288\"]\n  6 [size=\"46208000\", alpha=\"0.10\", expect_size=\"18483200\"] \n  6 -> 7 [size =\"18483200\"]\n  7 [size=\"89205760\", alpha=\"0.04\", expect_size=\"35682304\"] \n  7 -> 8 [size =\"35682304\"]\n  8 [size=\"86763520\", alpha=\"0.01\", expect_size=\"34705408\"] \n  8 -> 9 [size =\"34705408\"]\n  9 [size=\"50401280\", alpha=\"0.02\", expect_size=\"20160512\"] \n  9 -> 10 [size =\"20160512\"]\n  10 [size=\"119380480\", alpha=\"0.09\", expect_size=\"47752192\"] \n  10 -> 11 [size =\"47752192\"]\n  11 [size=\"90585600\", alpha=\"0.07\", expect_size=\"36234240\"] \n  11 -> 12 [size =\"36234240\"]\n  12 [size=\"98918400\", alpha=\"0.10\", expect_size=\"39567360\"] \n  12 -> 13 [size =\"39567360\"]\n  13 [size=\"52472320\", alpha=\"0.19\", expect_size=\"20988928\"] \n  13 -> 14 [size =\"20988928\"]\n  14 [size=\"73907200\", alpha=\"0.06\", expect_size=\"29562880\"] \n  14 -> 15 [size =\"29562880\"]\n  15 [size=\"36175360\", alpha=\"0.04\", expect_size=\"14470144\"] \n  15 -> 16 [size =\"14470144\"]\n  16 [size=\"44057600\", alpha=\"0.15\", expect_size=\"17623040\"] \n  16 -> 17 [size =\"17623040\"]\n  17 [size=\"101017600\", alpha=\"0.20\", expect_size=\"40407040\"] \n  17 -> 18 [size =\"40407040\"]\n  18 [size=\"123522560\", alpha=\"0.12\", expect_size=\"49409024\"] \n  18 -> 19 [size =\"49409024\"]\n  19 [size=\"13450240\", alpha=\"0.12\", expect_size=\"5380096\"] \n  19 -> 20 [size =\"5380096\"]\n  20 [size=\"26741760\", alpha=\"0.09\", expect_size=\"10696704\"] \n  20 -> 21 [size =\"10696704\"]\n  21 [size=\"77864960\", alpha=\"0.17\", expect_size=\"31145984\"] \n  21 -> 22 [size =\"31145984\"]\n  22 [size=\"118428160\", alpha=\"0.13\", expect_size=\"47371264\"] \n  22 -> 23 [size =\"47371264\"]\n  23 [size=\"58739200\", alpha=\"0.19\", expect_size=\"23495680\"] \n  23 -> 24 [size =\"23495680\"]\n  24 [size=\"52264960\", alpha=\"0.10\", expect_size=\"20905984\"] \n  24 -> 25 [size =\"20905984\"]\n  25 [size=\"89154560\", alpha=\"0.00\", expect_size=\"35661824\"] \n  25 -> 26 [size =\"35661824\"]\n  26 [size=\"112599040\", alpha=\"0.15\", expect_size=\"45039616\"] \n  26 -> 27 [size =\"45039616\"]\n  27 [size=\"84464640\", alpha=\"0.04\", expect_size=\"33785856\"] \n  27 -> 28 [size =\"33785856\"]\n  28 [size=\"81582080\", alpha=\"0.05\", expect_size=\"32632832\"] \n  28 -> 29 [size =\"32632832\"]\n  29 [size=\"36884480\", alpha=\"0.12\", expect_size=\"14753792\"] \n  29 -> 30 [size =\"14753792\"]\n  30 [size=\"107189760\", alpha=\"0.17\", expect_size=\"42875904\"] \n  30 -> 31 [size =\"42875904\"]\n  31 [size=\"45114880\", alpha=\"0.15\", expect_size=\"18045952\"] \n  31 -> 32 [size =\"18045952\"]\n  32 [size=\"29365760\", alpha=\"0.08\", expect_size=\"11746304\"] \n  32 -> 33 [size =\"11746304\"]\n  33 [size=\"103974400\", alpha=\"0.07\", expect_size=\"41589760\"] \n  33 -> 34 [size =\"41589760\"]\n  34 [size=\"97466880\", alpha=\"0.17\", expect_size=\"38986752\"] \n  34 -> 35 [size =\"38986752\"]\n  35 [size=\"40189440\", alpha=\"0.11\", expect_size=\"16075776\"] \n  35 -> 36 [size =\"16075776\"]\n  36 [size=\"40660480\", alpha=\"0.10\", expect_size=\"16264192\"] \n  36 -> 37 [size =\"16264192\"]\n  37 [size=\"14023680\", alpha=\"0.04\", expect_size=\"5609472\"] \n  37 -> 38 [size =\"5609472\"]\n  38 [size=\"36377600\", alpha=\"0.16\", expect_size=\"14551040\"] \n  38 -> 39 [size =\"14551040\"]\n  39 [size=\"63411200\", alpha=\"0.09\", expect_size=\"25364480\"] \n  39 -> 40 [size =\"25364480\"]\n  40 [size=\"14458880\", alpha=\"0.04\", expect_size=\"5783552\"] \n  40 -> 41 [size =\"5783552\"]\n  41 [size=\"113758720\", alpha=\"0.10\", expect_size=\"45503488\"] \n  41 -> 42 [size =\"45503488\"]\n  42 [size=\"84892160\", alpha=\"0.14\", expect_size=\"33956864\"] \n  42 -> 43 [size =\"33956864\"]\n  43 [size=\"13675520\", alpha=\"0.05\", expect_size=\"5470208\"] \n  43 -> 44 [size =\"5470208\"]\n  44 [size=\"57438720\", alpha=\"0.03\", expect_size=\"22975488\"] \n  44 -> 45 [size =\"22975488\"]\n  45 [size=\"41052160\", alpha=\"0.14\", expect_size=\"16420864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17963008\", alpha=\"0.10\", expect_size=\"8981504\"] \n  1 -> 40 [size =\"8981504\"]\n  1 -> 43 [size =\"8981504\"]\n  2 [size=\"78542848\", alpha=\"0.16\", expect_size=\"39271424\"] \n  2 -> 40 [size =\"39271424\"]\n  2 -> 41 [size =\"39271424\"]\n  2 -> 43 [size =\"39271424\"]\n  2 -> 45 [size =\"39271424\"]\n  3 [size=\"11235328\", alpha=\"0.08\", expect_size=\"5617664\"] \n  3 -> 40 [size =\"5617664\"]\n  3 -> 43 [size =\"5617664\"]\n  3 -> 43 [size =\"5617664\"]\n  3 -> 45 [size =\"5617664\"]\n  4 [size=\"95086592\", alpha=\"0.15\", expect_size=\"47543296\"] \n  4 -> 39 [size =\"47543296\"]\n  4 -> 43 [size =\"47543296\"]\n  4 -> 45 [size =\"47543296\"]\n  5 [size=\"66537472\", alpha=\"0.13\", expect_size=\"33268736\"] \n  5 -> 39 [size =\"33268736\"]\n  5 -> 43 [size =\"33268736\"]\n  5 -> 45 [size =\"33268736\"]\n  6 [size=\"46862336\", alpha=\"0.07\", expect_size=\"23431168\"] \n  6 -> 40 [size =\"23431168\"]\n  6 -> 45 [size =\"23431168\"]\n  6 -> 45 [size =\"23431168\"]\n  7 [size=\"87496704\", alpha=\"0.10\", expect_size=\"43748352\"] \n  7 -> 38 [size =\"43748352\"]\n  7 -> 43 [size =\"43748352\"]\n  7 -> 45 [size =\"43748352\"]\n  8 [size=\"53020672\", alpha=\"0.19\", expect_size=\"26510336\"] \n  8 -> 43 [size =\"26510336\"]\n  8 -> 45 [size =\"26510336\"]\n  9 [size=\"65157120\", alpha=\"0.11\", expect_size=\"32578560\"] \n  9 -> 40 [size =\"32578560\"]\n  9 -> 41 [size =\"32578560\"]\n  9 -> 43 [size =\"32578560\"]\n  10 [size=\"56203264\", alpha=\"0.06\", expect_size=\"28101632\"] \n  10 -> 41 [size =\"28101632\"]\n  10 -> 41 [size =\"28101632\"]\n  11 [size=\"40054784\", alpha=\"0.05\", expect_size=\"20027392\"] \n  11 -> 41 [size =\"20027392\"]\n  11 -> 45 [size =\"20027392\"]\n  12 [size=\"85485568\", alpha=\"0.13\", expect_size=\"42742784\"] \n  12 -> 40 [size =\"42742784\"]\n  12 -> 41 [size =\"42742784\"]\n  12 -> 42 [size =\"42742784\"]\n  13 [size=\"66672640\", alpha=\"0.19\", expect_size=\"33336320\"] \n  13 -> 40 [size =\"33336320\"]\n  13 -> 45 [size =\"33336320\"]\n  14 [size=\"10952704\", alpha=\"0.01\", expect_size=\"5476352\"] \n  14 -> 40 [size =\"5476352\"]\n  14 -> 41 [size =\"5476352\"]\n  14 -> 45 [size =\"5476352\"]\n  15 [size=\"83787776\", alpha=\"0.01\", expect_size=\"41893888\"] \n  15 -> 42 [size =\"41893888\"]\n  15 -> 45 [size =\"41893888\"]\n  15 -> 45 [size =\"41893888\"]\n  16 [size=\"53055488\", alpha=\"0.13\", expect_size=\"26527744\"] \n  16 -> 40 [size =\"26527744\"]\n  16 -> 41 [size =\"26527744\"]\n  17 [size=\"86542336\", alpha=\"0.01\", expect_size=\"43271168\"] \n  17 -> 43 [size =\"43271168\"]\n  18 [size=\"37062656\", alpha=\"0.19\", expect_size=\"18531328\"] \n  18 -> 39 [size =\"18531328\"]\n  18 -> 41 [size =\"18531328\"]\n  18 -> 42 [size =\"18531328\"]\n  18 -> 45 [size =\"18531328\"]\n  19 [size=\"32393216\", alpha=\"0.07\", expect_size=\"16196608\"] \n  19 -> 38 [size =\"16196608\"]\n  19 -> 45 [size =\"16196608\"]\n  20 [size=\"85608448\", alpha=\"0.05\", expect_size=\"42804224\"] \n  21 [size=\"20340736\", alpha=\"0.05\", expect_size=\"10170368\"] \n  22 [size=\"42862592\", alpha=\"0.19\", expect_size=\"21431296\"] \n  22 -> 41 [size =\"21431296\"]\n  22 -> 43 [size =\"21431296\"]\n  22 -> 45 [size =\"21431296\"]\n  23 [size=\"102012928\", alpha=\"0.13\", expect_size=\"51006464\"] \n  23 -> 42 [size =\"51006464\"]\n  23 -> 45 [size =\"51006464\"]\n  24 [size=\"98562048\", alpha=\"0.05\", expect_size=\"49281024\"] \n  24 -> 38 [size =\"49281024\"]\n  24 -> 39 [size =\"49281024\"]\n  24 -> 43 [size =\"49281024\"]\n  25 [size=\"102170624\", alpha=\"0.09\", expect_size=\"51085312\"] \n  25 -> 38 [size =\"51085312\"]\n  25 -> 41 [size =\"51085312\"]\n  26 [size=\"11980800\", alpha=\"0.01\", expect_size=\"5990400\"] \n  26 -> 41 [size =\"5990400\"]\n  26 -> 45 [size =\"5990400\"]\n  27 [size=\"74940416\", alpha=\"0.09\", expect_size=\"37470208\"] \n  27 -> 39 [size =\"37470208\"]\n  27 -> 42 [size =\"37470208\"]\n  28 [size=\"81825792\", alpha=\"0.06\", expect_size=\"40912896\"] \n  28 -> 40 [size =\"40912896\"]\n  28 -> 44 [size =\"40912896\"]\n  28 -> 45 [size =\"40912896\"]\n  29 [size=\"76603392\", alpha=\"0.15\", expect_size=\"38301696\"] \n  29 -> 38 [size =\"38301696\"]\n  29 -> 40 [size =\"38301696\"]\n  29 -> 41 [size =\"38301696\"]\n  30 [size=\"15241216\", alpha=\"0.13\", expect_size=\"7620608\"] \n  30 -> 40 [size =\"7620608\"]\n  30 -> 41 [size =\"7620608\"]\n  31 [size=\"39186432\", alpha=\"0.18\", expect_size=\"19593216\"] \n  31 -> 41 [size =\"19593216\"]\n  31 -> 45 [size =\"19593216\"]\n  32 [size=\"61540352\", alpha=\"0.18\", expect_size=\"30770176\"] \n  32 -> 41 [size =\"30770176\"]\n  32 -> 42 [size =\"30770176\"]\n  32 -> 43 [size =\"30770176\"]\n  32 -> 45 [size =\"30770176\"]\n  33 [size=\"55994368\", alpha=\"0.11\", expect_size=\"27997184\"] \n  33 -> 43 [size =\"27997184\"]\n  33 -> 45 [size =\"27997184\"]\n  34 [size=\"23296000\", alpha=\"0.03\", expect_size=\"11648000\"] \n  34 -> 41 [size =\"11648000\"]\n  34 -> 43 [size =\"11648000\"]\n  35 [size=\"48048128\", alpha=\"0.12\", expect_size=\"24024064\"] \n  35 -> 40 [size =\"24024064\"]\n  35 -> 43 [size =\"24024064\"]\n  35 -> 45 [size =\"24024064\"]\n  36 [size=\"91934720\", alpha=\"0.09\", expect_size=\"45967360\"] \n  36 -> 40 [size =\"45967360\"]\n  36 -> 42 [size =\"45967360\"]\n  36 -> 44 [size =\"45967360\"]\n  36 -> 45 [size =\"45967360\"]\n  37 [size=\"96956416\", alpha=\"0.02\", expect_size=\"48478208\"] \n  37 -> 38 [size =\"48478208\"]\n  37 -> 40 [size =\"48478208\"]\n  37 -> 45 [size =\"48478208\"]\n  38 [size=\"45756416\", alpha=\"0.01\", expect_size=\"22878208\"] \n  39 [size=\"75241472\", alpha=\"0.04\", expect_size=\"37620736\"] \n  40 [size=\"51339264\", alpha=\"0.04\", expect_size=\"25669632\"] \n  41 [size=\"19771392\", alpha=\"0.05\", expect_size=\"9885696\"] \n  42 [size=\"104474624\", alpha=\"0.14\", expect_size=\"52237312\"] \n  43 [size=\"97339392\", alpha=\"0.01\", expect_size=\"48669696\"] \n  44 [size=\"54552576\", alpha=\"0.08\", expect_size=\"27276288\"] \n  45 [size=\"70952960\", alpha=\"0.14\", expect_size=\"35476480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97722368\", alpha=\"0.04\", expect_size=\"48861184\"] \n  1 -> 4 [size =\"48861184\"]\n  2 [size=\"102336512\", alpha=\"0.08\", expect_size=\"51168256\"] \n  2 -> 3 [size =\"51168256\"]\n  2 -> 5 [size =\"51168256\"]\n  3 [size=\"30119936\", alpha=\"0.09\", expect_size=\"15059968\"] \n  3 -> 7 [size =\"15059968\"]\n  4 [size=\"12093440\", alpha=\"0.15\", expect_size=\"6046720\"] \n  4 -> 6 [size =\"6046720\"]\n  5 [size=\"23138304\", alpha=\"0.05\", expect_size=\"11569152\"] \n  6 [size=\"85379072\", alpha=\"0.16\", expect_size=\"42689536\"] \n  6 -> 8 [size =\"42689536\"]\n  6 -> 9 [size =\"42689536\"]\n  6 -> 10 [size =\"42689536\"]\n  7 [size=\"71686144\", alpha=\"0.09\", expect_size=\"35843072\"] \n  7 -> 9 [size =\"35843072\"]\n  8 [size=\"61988864\", alpha=\"0.09\", expect_size=\"30994432\"] \n  8 -> 11 [size =\"30994432\"]\n  8 -> 13 [size =\"30994432\"]\n  9 [size=\"55982080\", alpha=\"0.07\", expect_size=\"27991040\"] \n  9 -> 11 [size =\"27991040\"]\n  9 -> 12 [size =\"27991040\"]\n  10 [size=\"45109248\", alpha=\"0.05\", expect_size=\"22554624\"] \n  10 -> 12 [size =\"22554624\"]\n  10 -> 13 [size =\"22554624\"]\n  11 [size=\"49725440\", alpha=\"0.16\", expect_size=\"24862720\"] \n  11 -> 15 [size =\"24862720\"]\n  12 [size=\"67860480\", alpha=\"0.06\", expect_size=\"33930240\"] \n  12 -> 14 [size =\"33930240\"]\n  12 -> 16 [size =\"33930240\"]\n  13 [size=\"11012096\", alpha=\"0.03\", expect_size=\"5506048\"] \n  14 [size=\"51462144\", alpha=\"0.10\", expect_size=\"25731072\"] \n  14 -> 17 [size =\"25731072\"]\n  14 -> 18 [size =\"25731072\"]\n  14 -> 19 [size =\"25731072\"]\n  15 [size=\"29960192\", alpha=\"0.03\", expect_size=\"14980096\"] \n  16 [size=\"52400128\", alpha=\"0.20\", expect_size=\"26200064\"] \n  16 -> 19 [size =\"26200064\"]\n  17 [size=\"34789376\", alpha=\"0.10\", expect_size=\"17394688\"] \n  17 -> 20 [size =\"17394688\"]\n  18 [size=\"75333632\", alpha=\"0.03\", expect_size=\"37666816\"] \n  18 -> 20 [size =\"37666816\"]\n  18 -> 21 [size =\"37666816\"]\n  18 -> 22 [size =\"37666816\"]\n  19 [size=\"22743040\", alpha=\"0.10\", expect_size=\"11371520\"] \n  19 -> 21 [size =\"11371520\"]\n  19 -> 22 [size =\"11371520\"]\n  20 [size=\"53755904\", alpha=\"0.19\", expect_size=\"26877952\"] \n  20 -> 24 [size =\"26877952\"]\n  21 [size=\"78657536\", alpha=\"0.07\", expect_size=\"39328768\"] \n  21 -> 23 [size =\"39328768\"]\n  21 -> 24 [size =\"39328768\"]\n  22 [size=\"58363904\", alpha=\"0.14\", expect_size=\"29181952\"] \n  22 -> 23 [size =\"29181952\"]\n  23 [size=\"87926784\", alpha=\"0.05\", expect_size=\"43963392\"] \n  23 -> 25 [size =\"43963392\"]\n  23 -> 26 [size =\"43963392\"]\n  24 [size=\"103094272\", alpha=\"0.17\", expect_size=\"51547136\"] \n  25 [size=\"53684224\", alpha=\"0.11\", expect_size=\"26842112\"] \n  25 -> 27 [size =\"26842112\"]\n  25 -> 28 [size =\"26842112\"]\n  25 -> 29 [size =\"26842112\"]\n  26 [size=\"66478080\", alpha=\"0.01\", expect_size=\"33239040\"] \n  26 -> 27 [size =\"33239040\"]\n  27 [size=\"64917504\", alpha=\"0.04\", expect_size=\"32458752\"] \n  27 -> 31 [size =\"32458752\"]\n  27 -> 32 [size =\"32458752\"]\n  28 [size=\"17647616\", alpha=\"0.18\", expect_size=\"8823808\"] \n  28 -> 30 [size =\"8823808\"]\n  29 [size=\"30834688\", alpha=\"0.02\", expect_size=\"15417344\"] \n  29 -> 30 [size =\"15417344\"]\n  29 -> 31 [size =\"15417344\"]\n  30 [size=\"78757888\", alpha=\"0.12\", expect_size=\"39378944\"] \n  31 [size=\"75145216\", alpha=\"0.12\", expect_size=\"37572608\"] \n  31 -> 34 [size =\"37572608\"]\n  32 [size=\"12859392\", alpha=\"0.03\", expect_size=\"6429696\"] \n  32 -> 33 [size =\"6429696\"]\n  32 -> 35 [size =\"6429696\"]\n  33 [size=\"78127104\", alpha=\"0.15\", expect_size=\"39063552\"] \n  33 -> 36 [size =\"39063552\"]\n  33 -> 38 [size =\"39063552\"]\n  34 [size=\"101840896\", alpha=\"0.15\", expect_size=\"50920448\"] \n  34 -> 37 [size =\"50920448\"]\n  35 [size=\"85608448\", alpha=\"0.19\", expect_size=\"42804224\"] \n  35 -> 36 [size =\"42804224\"]\n  35 -> 37 [size =\"42804224\"]\n  36 [size=\"42084352\", alpha=\"0.13\", expect_size=\"21042176\"] \n  36 -> 39 [size =\"21042176\"]\n  37 [size=\"46159872\", alpha=\"0.11\", expect_size=\"23079936\"] \n  37 -> 39 [size =\"23079936\"]\n  37 -> 40 [size =\"23079936\"]\n  38 [size=\"64667648\", alpha=\"0.03\", expect_size=\"32333824\"] \n  38 -> 40 [size =\"32333824\"]\n  39 [size=\"54738944\", alpha=\"0.18\", expect_size=\"27369472\"] \n  39 -> 41 [size =\"27369472\"]\n  39 -> 43 [size =\"27369472\"]\n  40 [size=\"61868032\", alpha=\"0.02\", expect_size=\"30934016\"] \n  40 -> 42 [size =\"30934016\"]\n  40 -> 43 [size =\"30934016\"]\n  41 [size=\"26312704\", alpha=\"0.00\", expect_size=\"13156352\"] \n  42 [size=\"81684480\", alpha=\"0.09\", expect_size=\"40842240\"] \n  42 -> 45 [size =\"40842240\"]\n  43 [size=\"96614400\", alpha=\"0.13\", expect_size=\"48307200\"] \n  43 -> 44 [size =\"48307200\"]\n  43 -> 45 [size =\"48307200\"]\n  44 [size=\"71632896\", alpha=\"0.18\", expect_size=\"35816448\"] \n  45 [size=\"47716352\", alpha=\"0.12\", expect_size=\"23858176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124098560\", alpha=\"0.11\", expect_size=\"37229568\"] \n  1 -> 6 [size =\"37229568\"]\n  2 [size=\"124883627\", alpha=\"0.11\", expect_size=\"37465088\"] \n  2 -> 5 [size =\"37465088\"]\n  2 -> 7 [size =\"37465088\"]\n  2 -> 8 [size =\"37465088\"]\n  2 -> 9 [size =\"37465088\"]\n  3 [size=\"72154453\", alpha=\"0.09\", expect_size=\"21646336\"] \n  3 -> 6 [size =\"21646336\"]\n  3 -> 7 [size =\"21646336\"]\n  3 -> 8 [size =\"21646336\"]\n  3 -> 9 [size =\"21646336\"]\n  4 [size=\"80247467\", alpha=\"0.12\", expect_size=\"24074240\"] \n  4 -> 9 [size =\"24074240\"]\n  5 [size=\"37355520\", alpha=\"0.19\", expect_size=\"11206656\"] \n  5 -> 10 [size =\"11206656\"]\n  5 -> 13 [size =\"11206656\"]\n  6 [size=\"63703040\", alpha=\"0.18\", expect_size=\"19110912\"] \n  6 -> 10 [size =\"19110912\"]\n  6 -> 14 [size =\"19110912\"]\n  7 [size=\"47513600\", alpha=\"0.05\", expect_size=\"14254080\"] \n  7 -> 10 [size =\"14254080\"]\n  7 -> 11 [size =\"14254080\"]\n  7 -> 12 [size =\"14254080\"]\n  7 -> 13 [size =\"14254080\"]\n  7 -> 14 [size =\"14254080\"]\n  8 [size=\"154596693\", alpha=\"0.14\", expect_size=\"46379008\"] \n  8 -> 11 [size =\"46379008\"]\n  8 -> 12 [size =\"46379008\"]\n  8 -> 12 [size =\"46379008\"]\n  8 -> 13 [size =\"46379008\"]\n  9 [size=\"42847573\", alpha=\"0.19\", expect_size=\"12854272\"] \n  9 -> 14 [size =\"12854272\"]\n  10 [size=\"59204267\", alpha=\"0.18\", expect_size=\"17761280\"] \n  10 -> 15 [size =\"17761280\"]\n  10 -> 17 [size =\"17761280\"]\n  10 -> 20 [size =\"17761280\"]\n  11 [size=\"173916160\", alpha=\"0.17\", expect_size=\"52174848\"] \n  11 -> 16 [size =\"52174848\"]\n  11 -> 18 [size =\"52174848\"]\n  11 -> 19 [size =\"52174848\"]\n  12 [size=\"102096213\", alpha=\"0.17\", expect_size=\"30628864\"] \n  12 -> 16 [size =\"30628864\"]\n  12 -> 17 [size =\"30628864\"]\n  12 -> 19 [size =\"30628864\"]\n  12 -> 20 [size =\"30628864\"]\n  13 [size=\"32829440\", alpha=\"0.15\", expect_size=\"9848832\"] \n  13 -> 17 [size =\"9848832\"]\n  13 -> 19 [size =\"9848832\"]\n  14 [size=\"102307840\", alpha=\"0.05\", expect_size=\"30692352\"] \n  14 -> 18 [size =\"30692352\"]\n  14 -> 20 [size =\"30692352\"]\n  15 [size=\"40137387\", alpha=\"0.11\", expect_size=\"12041216\"] \n  15 -> 21 [size =\"12041216\"]\n  15 -> 22 [size =\"12041216\"]\n  15 -> 24 [size =\"12041216\"]\n  16 [size=\"29849600\", alpha=\"0.19\", expect_size=\"8954880\"] \n  16 -> 21 [size =\"8954880\"]\n  17 [size=\"174247253\", alpha=\"0.08\", expect_size=\"52274176\"] \n  17 -> 21 [size =\"52274176\"]\n  17 -> 22 [size =\"52274176\"]\n  17 -> 24 [size =\"52274176\"]\n  18 [size=\"54705493\", alpha=\"0.00\", expect_size=\"16411648\"] \n  18 -> 21 [size =\"16411648\"]\n  18 -> 23 [size =\"16411648\"]\n  18 -> 24 [size =\"16411648\"]\n  19 [size=\"168243200\", alpha=\"0.07\", expect_size=\"50472960\"] \n  20 [size=\"158880427\", alpha=\"0.10\", expect_size=\"47664128\"] \n  20 -> 22 [size =\"47664128\"]\n  20 -> 23 [size =\"47664128\"]\n  20 -> 24 [size =\"47664128\"]\n  21 [size=\"146725547\", alpha=\"0.07\", expect_size=\"44017664\"] \n  21 -> 26 [size =\"44017664\"]\n  21 -> 27 [size =\"44017664\"]\n  22 [size=\"126634667\", alpha=\"0.18\", expect_size=\"37990400\"] \n  22 -> 25 [size =\"37990400\"]\n  22 -> 26 [size =\"37990400\"]\n  23 [size=\"103656107\", alpha=\"0.15\", expect_size=\"31096832\"] \n  23 -> 27 [size =\"31096832\"]\n  23 -> 28 [size =\"31096832\"]\n  24 [size=\"65652053\", alpha=\"0.01\", expect_size=\"19695616\"] \n  24 -> 25 [size =\"19695616\"]\n  24 -> 28 [size =\"19695616\"]\n  25 [size=\"107390293\", alpha=\"0.09\", expect_size=\"32217088\"] \n  25 -> 29 [size =\"32217088\"]\n  25 -> 33 [size =\"32217088\"]\n  25 -> 34 [size =\"32217088\"]\n  26 [size=\"37925547\", alpha=\"0.03\", expect_size=\"11377664\"] \n  26 -> 30 [size =\"11377664\"]\n  26 -> 31 [size =\"11377664\"]\n  26 -> 34 [size =\"11377664\"]\n  27 [size=\"27497813\", alpha=\"0.01\", expect_size=\"8249344\"] \n  27 -> 30 [size =\"8249344\"]\n  27 -> 31 [size =\"8249344\"]\n  27 -> 35 [size =\"8249344\"]\n  28 [size=\"86790827\", alpha=\"0.16\", expect_size=\"26037248\"] \n  28 -> 32 [size =\"26037248\"]\n  29 [size=\"86818133\", alpha=\"0.14\", expect_size=\"26045440\"] \n  29 -> 37 [size =\"26045440\"]\n  29 -> 39 [size =\"26045440\"]\n  29 -> 41 [size =\"26045440\"]\n  29 -> 42 [size =\"26045440\"]\n  30 [size=\"139690667\", alpha=\"0.18\", expect_size=\"41907200\"] \n  30 -> 36 [size =\"41907200\"]\n  30 -> 37 [size =\"41907200\"]\n  30 -> 38 [size =\"41907200\"]\n  30 -> 42 [size =\"41907200\"]\n  31 [size=\"62102187\", alpha=\"0.02\", expect_size=\"18630656\"] \n  31 -> 37 [size =\"18630656\"]\n  31 -> 39 [size =\"18630656\"]\n  31 -> 42 [size =\"18630656\"]\n  32 [size=\"117961387\", alpha=\"0.16\", expect_size=\"35388416\"] \n  32 -> 36 [size =\"35388416\"]\n  32 -> 37 [size =\"35388416\"]\n  33 [size=\"100113067\", alpha=\"0.13\", expect_size=\"30033920\"] \n  33 -> 37 [size =\"30033920\"]\n  33 -> 39 [size =\"30033920\"]\n  33 -> 42 [size =\"30033920\"]\n  34 [size=\"63232000\", alpha=\"0.20\", expect_size=\"18969600\"] \n  34 -> 36 [size =\"18969600\"]\n  34 -> 39 [size =\"18969600\"]\n  34 -> 41 [size =\"18969600\"]\n  35 [size=\"70092800\", alpha=\"0.10\", expect_size=\"21027840\"] \n  35 -> 36 [size =\"21027840\"]\n  35 -> 39 [size =\"21027840\"]\n  35 -> 40 [size =\"21027840\"]\n  35 -> 42 [size =\"21027840\"]\n  36 [size=\"140574720\", alpha=\"0.01\", expect_size=\"42172416\"] \n  36 -> 44 [size =\"42172416\"]\n  37 [size=\"163618133\", alpha=\"0.13\", expect_size=\"49085440\"] \n  38 [size=\"169267200\", alpha=\"0.09\", expect_size=\"50780160\"] \n  39 [size=\"137355947\", alpha=\"0.05\", expect_size=\"41206784\"] \n  39 -> 44 [size =\"41206784\"]\n  40 [size=\"93259093\", alpha=\"0.18\", expect_size=\"27977728\"] \n  40 -> 43 [size =\"27977728\"]\n  40 -> 44 [size =\"27977728\"]\n  40 -> 45 [size =\"27977728\"]\n  41 [size=\"78697813\", alpha=\"0.08\", expect_size=\"23609344\"] \n  41 -> 43 [size =\"23609344\"]\n  41 -> 44 [size =\"23609344\"]\n  41 -> 45 [size =\"23609344\"]\n  42 [size=\"92835840\", alpha=\"0.12\", expect_size=\"27850752\"] \n  42 -> 43 [size =\"27850752\"]\n  42 -> 44 [size =\"27850752\"]\n  42 -> 45 [size =\"27850752\"]\n  43 [size=\"63006720\", alpha=\"0.06\", expect_size=\"18902016\"] \n  44 [size=\"161853440\", alpha=\"0.07\", expect_size=\"48556032\"] \n  45 [size=\"159634773\", alpha=\"0.19\", expect_size=\"47890432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138994347\", alpha=\"0.02\", expect_size=\"41698304\"] \n  1 -> 2 [size =\"41698304\"]\n  2 [size=\"133679787\", alpha=\"0.09\", expect_size=\"40103936\"] \n  2 -> 3 [size =\"40103936\"]\n  3 [size=\"93467307\", alpha=\"0.12\", expect_size=\"28040192\"] \n  3 -> 4 [size =\"28040192\"]\n  4 [size=\"120255147\", alpha=\"0.19\", expect_size=\"36076544\"] \n  4 -> 5 [size =\"36076544\"]\n  5 [size=\"93405867\", alpha=\"0.01\", expect_size=\"28021760\"] \n  5 -> 6 [size =\"28021760\"]\n  6 [size=\"149572267\", alpha=\"0.11\", expect_size=\"44871680\"] \n  6 -> 7 [size =\"44871680\"]\n  7 [size=\"96453973\", alpha=\"0.18\", expect_size=\"28936192\"] \n  7 -> 8 [size =\"28936192\"]\n  8 [size=\"135041707\", alpha=\"0.06\", expect_size=\"40512512\"] \n  8 -> 9 [size =\"40512512\"]\n  9 [size=\"27013120\", alpha=\"0.01\", expect_size=\"8103936\"] \n  9 -> 10 [size =\"8103936\"]\n  10 [size=\"70440960\", alpha=\"0.16\", expect_size=\"21132288\"] \n  10 -> 11 [size =\"21132288\"]\n  11 [size=\"47557973\", alpha=\"0.16\", expect_size=\"14267392\"] \n  11 -> 12 [size =\"14267392\"]\n  12 [size=\"65474560\", alpha=\"0.11\", expect_size=\"19642368\"] \n  12 -> 13 [size =\"19642368\"]\n  13 [size=\"133823147\", alpha=\"0.11\", expect_size=\"40146944\"] \n  13 -> 14 [size =\"40146944\"]\n  14 [size=\"74226347\", alpha=\"0.06\", expect_size=\"22267904\"] \n  14 -> 15 [size =\"22267904\"]\n  15 [size=\"64880640\", alpha=\"0.02\", expect_size=\"19464192\"] \n  15 -> 16 [size =\"19464192\"]\n  16 [size=\"73011200\", alpha=\"0.10\", expect_size=\"21903360\"] \n  16 -> 17 [size =\"21903360\"]\n  17 [size=\"160484693\", alpha=\"0.18\", expect_size=\"48145408\"] \n  17 -> 18 [size =\"48145408\"]\n  18 [size=\"146309120\", alpha=\"0.06\", expect_size=\"43892736\"] \n  18 -> 19 [size =\"43892736\"]\n  19 [size=\"38714027\", alpha=\"0.02\", expect_size=\"11614208\"] \n  19 -> 20 [size =\"11614208\"]\n  20 [size=\"48831147\", alpha=\"0.13\", expect_size=\"14649344\"] \n  20 -> 21 [size =\"14649344\"]\n  21 [size=\"173520213\", alpha=\"0.18\", expect_size=\"52056064\"] \n  21 -> 22 [size =\"52056064\"]\n  22 [size=\"139219627\", alpha=\"0.19\", expect_size=\"41765888\"] \n  22 -> 23 [size =\"41765888\"]\n  23 [size=\"68392960\", alpha=\"0.10\", expect_size=\"20517888\"] \n  23 -> 24 [size =\"20517888\"]\n  24 [size=\"154067627\", alpha=\"0.13\", expect_size=\"46220288\"] \n  24 -> 25 [size =\"46220288\"]\n  25 [size=\"41495893\", alpha=\"0.06\", expect_size=\"12448768\"] \n  25 -> 26 [size =\"12448768\"]\n  26 [size=\"56637440\", alpha=\"0.16\", expect_size=\"16991232\"] \n  26 -> 27 [size =\"16991232\"]\n  27 [size=\"135492267\", alpha=\"0.16\", expect_size=\"40647680\"] \n  27 -> 28 [size =\"40647680\"]\n  28 [size=\"118633813\", alpha=\"0.11\", expect_size=\"35590144\"] \n  28 -> 29 [size =\"35590144\"]\n  29 [size=\"168110080\", alpha=\"0.07\", expect_size=\"50433024\"] \n  29 -> 30 [size =\"50433024\"]\n  30 [size=\"27299840\", alpha=\"0.10\", expect_size=\"8189952\"] \n  30 -> 31 [size =\"8189952\"]\n  31 [size=\"126068053\", alpha=\"0.16\", expect_size=\"37820416\"] \n  31 -> 32 [size =\"37820416\"]\n  32 [size=\"114080427\", alpha=\"0.09\", expect_size=\"34224128\"] \n  32 -> 33 [size =\"34224128\"]\n  33 [size=\"107540480\", alpha=\"0.17\", expect_size=\"32262144\"] \n  33 -> 34 [size =\"32262144\"]\n  34 [size=\"25149440\", alpha=\"0.11\", expect_size=\"7544832\"] \n  34 -> 35 [size =\"7544832\"]\n  35 [size=\"126979413\", alpha=\"0.12\", expect_size=\"38093824\"] \n  35 -> 36 [size =\"38093824\"]\n  36 [size=\"174390613\", alpha=\"0.20\", expect_size=\"52317184\"] \n  36 -> 37 [size =\"52317184\"]\n  37 [size=\"142185813\", alpha=\"0.06\", expect_size=\"42655744\"] \n  37 -> 38 [size =\"42655744\"]\n  38 [size=\"109349547\", alpha=\"0.08\", expect_size=\"32804864\"] \n  38 -> 39 [size =\"32804864\"]\n  39 [size=\"36164267\", alpha=\"0.13\", expect_size=\"10849280\"] \n  39 -> 40 [size =\"10849280\"]\n  40 [size=\"89449813\", alpha=\"0.03\", expect_size=\"26834944\"] \n  40 -> 41 [size =\"26834944\"]\n  41 [size=\"164887893\", alpha=\"0.12\", expect_size=\"49466368\"] \n  41 -> 42 [size =\"49466368\"]\n  42 [size=\"135277227\", alpha=\"0.16\", expect_size=\"40583168\"] \n  42 -> 43 [size =\"40583168\"]\n  43 [size=\"48609280\", alpha=\"0.07\", expect_size=\"14582784\"] \n  43 -> 44 [size =\"14582784\"]\n  44 [size=\"21237760\", alpha=\"0.15\", expect_size=\"6371328\"] \n  44 -> 45 [size =\"6371328\"]\n  45 [size=\"109912747\", alpha=\"0.06\", expect_size=\"32973824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53067776\", alpha=\"0.12\", expect_size=\"26533888\"] \n  1 -> 7 [size =\"26533888\"]\n  1 -> 10 [size =\"26533888\"]\n  2 [size=\"101898240\", alpha=\"0.02\", expect_size=\"50949120\"] \n  2 -> 7 [size =\"50949120\"]\n  2 -> 8 [size =\"50949120\"]\n  2 -> 9 [size =\"50949120\"]\n  3 [size=\"22984704\", alpha=\"0.04\", expect_size=\"11492352\"] \n  3 -> 7 [size =\"11492352\"]\n  3 -> 11 [size =\"11492352\"]\n  4 [size=\"12511232\", alpha=\"0.00\", expect_size=\"6255616\"] \n  5 [size=\"83773440\", alpha=\"0.10\", expect_size=\"41886720\"] \n  6 [size=\"31447040\", alpha=\"0.02\", expect_size=\"15723520\"] \n  6 -> 10 [size =\"15723520\"]\n  6 -> 12 [size =\"15723520\"]\n  7 [size=\"11370496\", alpha=\"0.05\", expect_size=\"5685248\"] \n  7 -> 15 [size =\"5685248\"]\n  7 -> 16 [size =\"5685248\"]\n  7 -> 17 [size =\"5685248\"]\n  8 [size=\"66220032\", alpha=\"0.03\", expect_size=\"33110016\"] \n  8 -> 13 [size =\"33110016\"]\n  8 -> 14 [size =\"33110016\"]\n  8 -> 16 [size =\"33110016\"]\n  8 -> 17 [size =\"33110016\"]\n  9 [size=\"99964928\", alpha=\"0.20\", expect_size=\"49982464\"] \n  10 [size=\"39208960\", alpha=\"0.03\", expect_size=\"19604480\"] \n  10 -> 14 [size =\"19604480\"]\n  10 -> 17 [size =\"19604480\"]\n  11 [size=\"16404480\", alpha=\"0.10\", expect_size=\"8202240\"] \n  11 -> 14 [size =\"8202240\"]\n  12 [size=\"73904128\", alpha=\"0.00\", expect_size=\"36952064\"] \n  12 -> 15 [size =\"36952064\"]\n  13 [size=\"81346560\", alpha=\"0.07\", expect_size=\"40673280\"] \n  13 -> 22 [size =\"40673280\"]\n  14 [size=\"101947392\", alpha=\"0.08\", expect_size=\"50973696\"] \n  14 -> 18 [size =\"50973696\"]\n  14 -> 19 [size =\"50973696\"]\n  14 -> 20 [size =\"50973696\"]\n  14 -> 21 [size =\"50973696\"]\n  15 [size=\"102461440\", alpha=\"0.03\", expect_size=\"51230720\"] \n  15 -> 20 [size =\"51230720\"]\n  15 -> 21 [size =\"51230720\"]\n  15 -> 22 [size =\"51230720\"]\n  16 [size=\"55304192\", alpha=\"0.13\", expect_size=\"27652096\"] \n  16 -> 20 [size =\"27652096\"]\n  17 [size=\"65734656\", alpha=\"0.01\", expect_size=\"32867328\"] \n  17 -> 21 [size =\"32867328\"]\n  18 [size=\"87345152\", alpha=\"0.02\", expect_size=\"43672576\"] \n  18 -> 23 [size =\"43672576\"]\n  18 -> 26 [size =\"43672576\"]\n  18 -> 27 [size =\"43672576\"]\n  19 [size=\"101341184\", alpha=\"0.10\", expect_size=\"50670592\"] \n  19 -> 23 [size =\"50670592\"]\n  19 -> 24 [size =\"50670592\"]\n  19 -> 25 [size =\"50670592\"]\n  20 [size=\"100335616\", alpha=\"0.16\", expect_size=\"50167808\"] \n  20 -> 23 [size =\"50167808\"]\n  20 -> 26 [size =\"50167808\"]\n  20 -> 27 [size =\"50167808\"]\n  20 -> 28 [size =\"50167808\"]\n  21 [size=\"20692992\", alpha=\"0.11\", expect_size=\"10346496\"] \n  21 -> 28 [size =\"10346496\"]\n  22 [size=\"66869248\", alpha=\"0.05\", expect_size=\"33434624\"] \n  23 [size=\"67411968\", alpha=\"0.02\", expect_size=\"33705984\"] \n  23 -> 29 [size =\"33705984\"]\n  24 [size=\"98308096\", alpha=\"0.20\", expect_size=\"49154048\"] \n  24 -> 30 [size =\"49154048\"]\n  24 -> 31 [size =\"49154048\"]\n  24 -> 33 [size =\"49154048\"]\n  25 [size=\"42958848\", alpha=\"0.12\", expect_size=\"21479424\"] \n  26 [size=\"56655872\", alpha=\"0.10\", expect_size=\"28327936\"] \n  26 -> 30 [size =\"28327936\"]\n  26 -> 33 [size =\"28327936\"]\n  27 [size=\"22476800\", alpha=\"0.07\", expect_size=\"11238400\"] \n  27 -> 29 [size =\"11238400\"]\n  27 -> 30 [size =\"11238400\"]\n  27 -> 32 [size =\"11238400\"]\n  28 [size=\"26626048\", alpha=\"0.17\", expect_size=\"13313024\"] \n  28 -> 29 [size =\"13313024\"]\n  29 [size=\"36397056\", alpha=\"0.05\", expect_size=\"18198528\"] \n  29 -> 35 [size =\"18198528\"]\n  29 -> 38 [size =\"18198528\"]\n  30 [size=\"85071872\", alpha=\"0.19\", expect_size=\"42535936\"] \n  30 -> 36 [size =\"42535936\"]\n  30 -> 37 [size =\"42535936\"]\n  31 [size=\"67069952\", alpha=\"0.15\", expect_size=\"33534976\"] \n  31 -> 34 [size =\"33534976\"]\n  31 -> 35 [size =\"33534976\"]\n  31 -> 36 [size =\"33534976\"]\n  31 -> 38 [size =\"33534976\"]\n  32 [size=\"24977408\", alpha=\"0.04\", expect_size=\"12488704\"] \n  32 -> 34 [size =\"12488704\"]\n  32 -> 36 [size =\"12488704\"]\n  32 -> 39 [size =\"12488704\"]\n  33 [size=\"50202624\", alpha=\"0.08\", expect_size=\"25101312\"] \n  34 [size=\"60878848\", alpha=\"0.12\", expect_size=\"30439424\"] \n  34 -> 43 [size =\"30439424\"]\n  34 -> 44 [size =\"30439424\"]\n  35 [size=\"59031552\", alpha=\"0.14\", expect_size=\"29515776\"] \n  35 -> 44 [size =\"29515776\"]\n  36 [size=\"23576576\", alpha=\"0.07\", expect_size=\"11788288\"] \n  36 -> 40 [size =\"11788288\"]\n  36 -> 43 [size =\"11788288\"]\n  36 -> 44 [size =\"11788288\"]\n  37 [size=\"69851136\", alpha=\"0.11\", expect_size=\"34925568\"] \n  37 -> 41 [size =\"34925568\"]\n  37 -> 42 [size =\"34925568\"]\n  38 [size=\"104368128\", alpha=\"0.12\", expect_size=\"52184064\"] \n  38 -> 41 [size =\"52184064\"]\n  38 -> 42 [size =\"52184064\"]\n  39 [size=\"88487936\", alpha=\"0.11\", expect_size=\"44243968\"] \n  39 -> 40 [size =\"44243968\"]\n  39 -> 42 [size =\"44243968\"]\n  39 -> 43 [size =\"44243968\"]\n  40 [size=\"17321984\", alpha=\"0.10\", expect_size=\"8660992\"] \n  41 [size=\"13963264\", alpha=\"0.11\", expect_size=\"6981632\"] \n  42 [size=\"84330496\", alpha=\"0.04\", expect_size=\"42165248\"] \n  42 -> 45 [size =\"42165248\"]\n  43 [size=\"103102464\", alpha=\"0.09\", expect_size=\"51551232\"] \n  44 [size=\"46766080\", alpha=\"0.12\", expect_size=\"23383040\"] \n  45 [size=\"101156864\", alpha=\"0.03\", expect_size=\"50578432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115258880\", alpha=\"0.09\", expect_size=\"46103552\"] \n  1 -> 4 [size =\"46103552\"]\n  2 [size=\"30653440\", alpha=\"0.16\", expect_size=\"12261376\"] \n  2 -> 5 [size =\"12261376\"]\n  3 [size=\"65428480\", alpha=\"0.19\", expect_size=\"26171392\"] \n  3 -> 4 [size =\"26171392\"]\n  3 -> 5 [size =\"26171392\"]\n  3 -> 6 [size =\"26171392\"]\n  4 [size=\"33231360\", alpha=\"0.16\", expect_size=\"13292544\"] \n  4 -> 7 [size =\"13292544\"]\n  4 -> 8 [size =\"13292544\"]\n  5 [size=\"66723840\", alpha=\"0.07\", expect_size=\"26689536\"] \n  6 [size=\"102487040\", alpha=\"0.15\", expect_size=\"40994816\"] \n  6 -> 7 [size =\"40994816\"]\n  6 -> 8 [size =\"40994816\"]\n  7 [size=\"68116480\", alpha=\"0.04\", expect_size=\"27246592\"] \n  7 -> 9 [size =\"27246592\"]\n  7 -> 10 [size =\"27246592\"]\n  8 [size=\"39503360\", alpha=\"0.04\", expect_size=\"15801344\"] \n  8 -> 10 [size =\"15801344\"]\n  9 [size=\"81223680\", alpha=\"0.09\", expect_size=\"32489472\"] \n  10 [size=\"83415040\", alpha=\"0.05\", expect_size=\"33366016\"] \n  10 -> 11 [size =\"33366016\"]\n  10 -> 12 [size =\"33366016\"]\n  11 [size=\"114580480\", alpha=\"0.01\", expect_size=\"45832192\"] \n  11 -> 13 [size =\"45832192\"]\n  11 -> 15 [size =\"45832192\"]\n  12 [size=\"51809280\", alpha=\"0.18\", expect_size=\"20723712\"] \n  12 -> 13 [size =\"20723712\"]\n  12 -> 14 [size =\"20723712\"]\n  12 -> 15 [size =\"20723712\"]\n  13 [size=\"27238400\", alpha=\"0.13\", expect_size=\"10895360\"] \n  13 -> 16 [size =\"10895360\"]\n  14 [size=\"23539200\", alpha=\"0.01\", expect_size=\"9415680\"] \n  14 -> 18 [size =\"9415680\"]\n  15 [size=\"119224320\", alpha=\"0.09\", expect_size=\"47689728\"] \n  15 -> 16 [size =\"47689728\"]\n  15 -> 17 [size =\"47689728\"]\n  15 -> 18 [size =\"47689728\"]\n  16 [size=\"43563520\", alpha=\"0.03\", expect_size=\"17425408\"] \n  16 -> 20 [size =\"17425408\"]\n  17 [size=\"13785600\", alpha=\"0.09\", expect_size=\"5514240\"] \n  18 [size=\"37992960\", alpha=\"0.08\", expect_size=\"15197184\"] \n  18 -> 19 [size =\"15197184\"]\n  18 -> 20 [size =\"15197184\"]\n  19 [size=\"61857280\", alpha=\"0.00\", expect_size=\"24742912\"] \n  19 -> 21 [size =\"24742912\"]\n  19 -> 22 [size =\"24742912\"]\n  19 -> 23 [size =\"24742912\"]\n  20 [size=\"114129920\", alpha=\"0.16\", expect_size=\"45651968\"] \n  20 -> 21 [size =\"45651968\"]\n  21 [size=\"26360320\", alpha=\"0.08\", expect_size=\"10544128\"] \n  21 -> 24 [size =\"10544128\"]\n  21 -> 25 [size =\"10544128\"]\n  22 [size=\"34923520\", alpha=\"0.04\", expect_size=\"13969408\"] \n  22 -> 25 [size =\"13969408\"]\n  22 -> 26 [size =\"13969408\"]\n  23 [size=\"20800000\", alpha=\"0.09\", expect_size=\"8320000\"] \n  23 -> 24 [size =\"8320000\"]\n  23 -> 25 [size =\"8320000\"]\n  24 [size=\"97812480\", alpha=\"0.17\", expect_size=\"39124992\"] \n  24 -> 29 [size =\"39124992\"]\n  25 [size=\"104847360\", alpha=\"0.14\", expect_size=\"41938944\"] \n  25 -> 27 [size =\"41938944\"]\n  26 [size=\"38581760\", alpha=\"0.06\", expect_size=\"15432704\"] \n  26 -> 27 [size =\"15432704\"]\n  26 -> 28 [size =\"15432704\"]\n  26 -> 29 [size =\"15432704\"]\n  27 [size=\"53949440\", alpha=\"0.07\", expect_size=\"21579776\"] \n  27 -> 30 [size =\"21579776\"]\n  27 -> 31 [size =\"21579776\"]\n  28 [size=\"108451840\", alpha=\"0.13\", expect_size=\"43380736\"] \n  28 -> 30 [size =\"43380736\"]\n  28 -> 31 [size =\"43380736\"]\n  29 [size=\"37109760\", alpha=\"0.11\", expect_size=\"14843904\"] \n  30 [size=\"39247360\", alpha=\"0.00\", expect_size=\"15698944\"] \n  30 -> 32 [size =\"15698944\"]\n  30 -> 33 [size =\"15698944\"]\n  30 -> 34 [size =\"15698944\"]\n  31 [size=\"14151680\", alpha=\"0.07\", expect_size=\"5660672\"] \n  31 -> 32 [size =\"5660672\"]\n  31 -> 33 [size =\"5660672\"]\n  31 -> 34 [size =\"5660672\"]\n  32 [size=\"63971840\", alpha=\"0.00\", expect_size=\"25588736\"] \n  32 -> 35 [size =\"25588736\"]\n  33 [size=\"88294400\", alpha=\"0.16\", expect_size=\"35317760\"] \n  33 -> 36 [size =\"35317760\"]\n  34 [size=\"21473280\", alpha=\"0.13\", expect_size=\"8589312\"] \n  34 -> 36 [size =\"8589312\"]\n  35 [size=\"119562240\", alpha=\"0.09\", expect_size=\"47824896\"] \n  35 -> 38 [size =\"47824896\"]\n  36 [size=\"82288640\", alpha=\"0.09\", expect_size=\"32915456\"] \n  36 -> 37 [size =\"32915456\"]\n  37 [size=\"116997120\", alpha=\"0.10\", expect_size=\"46798848\"] \n  37 -> 39 [size =\"46798848\"]\n  37 -> 40 [size =\"46798848\"]\n  38 [size=\"42767360\", alpha=\"0.15\", expect_size=\"17106944\"] \n  39 [size=\"121927680\", alpha=\"0.08\", expect_size=\"48771072\"] \n  39 -> 41 [size =\"48771072\"]\n  39 -> 42 [size =\"48771072\"]\n  40 [size=\"68702720\", alpha=\"0.18\", expect_size=\"27481088\"] \n  40 -> 43 [size =\"27481088\"]\n  41 [size=\"71365120\", alpha=\"0.11\", expect_size=\"28546048\"] \n  41 -> 44 [size =\"28546048\"]\n  41 -> 45 [size =\"28546048\"]\n  42 [size=\"113425920\", alpha=\"0.07\", expect_size=\"45370368\"] \n  42 -> 44 [size =\"45370368\"]\n  42 -> 45 [size =\"45370368\"]\n  43 [size=\"115619840\", alpha=\"0.05\", expect_size=\"46247936\"] \n  44 [size=\"92085760\", alpha=\"0.17\", expect_size=\"36834304\"] \n  45 [size=\"53253120\", alpha=\"0.04\", expect_size=\"21301248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101416960\", alpha=\"0.16\", expect_size=\"30425088\"] \n  1 -> 9 [size =\"30425088\"]\n  1 -> 10 [size =\"30425088\"]\n  2 [size=\"166314667\", alpha=\"0.10\", expect_size=\"49894400\"] \n  2 -> 9 [size =\"49894400\"]\n  2 -> 10 [size =\"49894400\"]\n  2 -> 12 [size =\"49894400\"]\n  3 [size=\"23326720\", alpha=\"0.03\", expect_size=\"6998016\"] \n  3 -> 10 [size =\"6998016\"]\n  3 -> 10 [size =\"6998016\"]\n  3 -> 12 [size =\"6998016\"]\n  4 [size=\"90043733\", alpha=\"0.07\", expect_size=\"27013120\"] \n  4 -> 11 [size =\"27013120\"]\n  5 [size=\"35642027\", alpha=\"0.17\", expect_size=\"10692608\"] \n  5 -> 9 [size =\"10692608\"]\n  5 -> 12 [size =\"10692608\"]\n  6 [size=\"46622720\", alpha=\"0.19\", expect_size=\"13986816\"] \n  6 -> 11 [size =\"13986816\"]\n  6 -> 12 [size =\"13986816\"]\n  7 [size=\"138745173\", alpha=\"0.18\", expect_size=\"41623552\"] \n  7 -> 11 [size =\"41623552\"]\n  8 [size=\"123542187\", alpha=\"0.18\", expect_size=\"37062656\"] \n  8 -> 11 [size =\"37062656\"]\n  9 [size=\"137902080\", alpha=\"0.00\", expect_size=\"41370624\"] \n  9 -> 13 [size =\"41370624\"]\n  9 -> 15 [size =\"41370624\"]\n  10 [size=\"150586027\", alpha=\"0.20\", expect_size=\"45175808\"] \n  10 -> 13 [size =\"45175808\"]\n  10 -> 14 [size =\"45175808\"]\n  11 [size=\"140533760\", alpha=\"0.10\", expect_size=\"42160128\"] \n  11 -> 14 [size =\"42160128\"]\n  11 -> 15 [size =\"42160128\"]\n  12 [size=\"107499520\", alpha=\"0.19\", expect_size=\"32249856\"] \n  12 -> 13 [size =\"32249856\"]\n  12 -> 14 [size =\"32249856\"]\n  12 -> 15 [size =\"32249856\"]\n  13 [size=\"25501013\", alpha=\"0.05\", expect_size=\"7650304\"] \n  13 -> 16 [size =\"7650304\"]\n  13 -> 17 [size =\"7650304\"]\n  13 -> 18 [size =\"7650304\"]\n  14 [size=\"46196053\", alpha=\"0.11\", expect_size=\"13858816\"] \n  14 -> 18 [size =\"13858816\"]\n  15 [size=\"102338560\", alpha=\"0.06\", expect_size=\"30701568\"] \n  15 -> 16 [size =\"30701568\"]\n  16 [size=\"78981120\", alpha=\"0.12\", expect_size=\"23694336\"] \n  16 -> 20 [size =\"23694336\"]\n  16 -> 21 [size =\"23694336\"]\n  16 -> 22 [size =\"23694336\"]\n  16 -> 23 [size =\"23694336\"]\n  16 -> 24 [size =\"23694336\"]\n  17 [size=\"69567147\", alpha=\"0.13\", expect_size=\"20870144\"] \n  17 -> 19 [size =\"20870144\"]\n  18 [size=\"54439253\", alpha=\"0.18\", expect_size=\"16331776\"] \n  18 -> 21 [size =\"16331776\"]\n  18 -> 22 [size =\"16331776\"]\n  18 -> 23 [size =\"16331776\"]\n  18 -> 24 [size =\"16331776\"]\n  19 [size=\"41028267\", alpha=\"0.16\", expect_size=\"12308480\"] \n  20 [size=\"41570987\", alpha=\"0.06\", expect_size=\"12471296\"] \n  20 -> 26 [size =\"12471296\"]\n  20 -> 27 [size =\"12471296\"]\n  21 [size=\"38314667\", alpha=\"0.07\", expect_size=\"11494400\"] \n  21 -> 27 [size =\"11494400\"]\n  22 [size=\"113271467\", alpha=\"0.07\", expect_size=\"33981440\"] \n  23 [size=\"106533547\", alpha=\"0.08\", expect_size=\"31960064\"] \n  24 [size=\"149565440\", alpha=\"0.18\", expect_size=\"44869632\"] \n  24 -> 25 [size =\"44869632\"]\n  24 -> 27 [size =\"44869632\"]\n  25 [size=\"74953387\", alpha=\"0.10\", expect_size=\"22486016\"] \n  26 [size=\"121511253\", alpha=\"0.06\", expect_size=\"36453376\"] \n  26 -> 28 [size =\"36453376\"]\n  26 -> 30 [size =\"36453376\"]\n  27 [size=\"58176853\", alpha=\"0.18\", expect_size=\"17453056\"] \n  27 -> 29 [size =\"17453056\"]\n  28 [size=\"161484800\", alpha=\"0.03\", expect_size=\"48445440\"] \n  28 -> 31 [size =\"48445440\"]\n  28 -> 32 [size =\"48445440\"]\n  28 -> 33 [size =\"48445440\"]\n  28 -> 34 [size =\"48445440\"]\n  28 -> 35 [size =\"48445440\"]\n  28 -> 36 [size =\"48445440\"]\n  29 [size=\"148176213\", alpha=\"0.03\", expect_size=\"44452864\"] \n  29 -> 31 [size =\"44452864\"]\n  29 -> 33 [size =\"44452864\"]\n  30 [size=\"116428800\", alpha=\"0.20\", expect_size=\"34928640\"] \n  30 -> 36 [size =\"34928640\"]\n  31 [size=\"166386347\", alpha=\"0.13\", expect_size=\"49915904\"] \n  31 -> 39 [size =\"49915904\"]\n  31 -> 42 [size =\"49915904\"]\n  31 -> 44 [size =\"49915904\"]\n  32 [size=\"67413333\", alpha=\"0.17\", expect_size=\"20224000\"] \n  32 -> 37 [size =\"20224000\"]\n  32 -> 39 [size =\"20224000\"]\n  32 -> 40 [size =\"20224000\"]\n  32 -> 43 [size =\"20224000\"]\n  33 [size=\"125641387\", alpha=\"0.02\", expect_size=\"37692416\"] \n  33 -> 37 [size =\"37692416\"]\n  33 -> 38 [size =\"37692416\"]\n  34 [size=\"32344747\", alpha=\"0.11\", expect_size=\"9703424\"] \n  34 -> 38 [size =\"9703424\"]\n  34 -> 40 [size =\"9703424\"]\n  34 -> 41 [size =\"9703424\"]\n  34 -> 42 [size =\"9703424\"]\n  35 [size=\"174667093\", alpha=\"0.11\", expect_size=\"52400128\"] \n  35 -> 41 [size =\"52400128\"]\n  36 [size=\"98914987\", alpha=\"0.18\", expect_size=\"29674496\"] \n  36 -> 38 [size =\"29674496\"]\n  36 -> 39 [size =\"29674496\"]\n  36 -> 41 [size =\"29674496\"]\n  36 -> 42 [size =\"29674496\"]\n  37 [size=\"148811093\", alpha=\"0.12\", expect_size=\"44643328\"] \n  38 [size=\"131051520\", alpha=\"0.11\", expect_size=\"39315456\"] \n  39 [size=\"151702187\", alpha=\"0.13\", expect_size=\"45510656\"] \n  40 [size=\"173905920\", alpha=\"0.18\", expect_size=\"52171776\"] \n  41 [size=\"173482667\", alpha=\"0.05\", expect_size=\"52044800\"] \n  42 [size=\"116210347\", alpha=\"0.05\", expect_size=\"34863104\"] \n  43 [size=\"92115627\", alpha=\"0.16\", expect_size=\"27634688\"] \n  43 -> 45 [size =\"27634688\"]\n  44 [size=\"109223253\", alpha=\"0.04\", expect_size=\"32766976\"] \n  45 [size=\"38970027\", alpha=\"0.19\", expect_size=\"11691008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118919680\", alpha=\"0.17\", expect_size=\"47567872\"] \n  1 -> 2 [size =\"47567872\"]\n  2 [size=\"104816640\", alpha=\"0.09\", expect_size=\"41926656\"] \n  2 -> 3 [size =\"41926656\"]\n  3 [size=\"110594560\", alpha=\"0.08\", expect_size=\"44237824\"] \n  3 -> 4 [size =\"44237824\"]\n  4 [size=\"82629120\", alpha=\"0.20\", expect_size=\"33051648\"] \n  4 -> 5 [size =\"33051648\"]\n  5 [size=\"41210880\", alpha=\"0.13\", expect_size=\"16484352\"] \n  5 -> 6 [size =\"16484352\"]\n  6 [size=\"79395840\", alpha=\"0.02\", expect_size=\"31758336\"] \n  6 -> 7 [size =\"31758336\"]\n  7 [size=\"100078080\", alpha=\"0.09\", expect_size=\"40031232\"] \n  7 -> 8 [size =\"40031232\"]\n  8 [size=\"45319680\", alpha=\"0.07\", expect_size=\"18127872\"] \n  8 -> 9 [size =\"18127872\"]\n  9 [size=\"86917120\", alpha=\"0.10\", expect_size=\"34766848\"] \n  9 -> 10 [size =\"34766848\"]\n  10 [size=\"18990080\", alpha=\"0.11\", expect_size=\"7596032\"] \n  10 -> 11 [size =\"7596032\"]\n  11 [size=\"28144640\", alpha=\"0.09\", expect_size=\"11257856\"] \n  11 -> 12 [size =\"11257856\"]\n  12 [size=\"127393280\", alpha=\"0.05\", expect_size=\"50957312\"] \n  12 -> 13 [size =\"50957312\"]\n  13 [size=\"62571520\", alpha=\"0.03\", expect_size=\"25028608\"] \n  13 -> 14 [size =\"25028608\"]\n  14 [size=\"107182080\", alpha=\"0.16\", expect_size=\"42872832\"] \n  14 -> 15 [size =\"42872832\"]\n  15 [size=\"105100800\", alpha=\"0.14\", expect_size=\"42040320\"] \n  15 -> 16 [size =\"42040320\"]\n  16 [size=\"61012480\", alpha=\"0.10\", expect_size=\"24404992\"] \n  16 -> 17 [size =\"24404992\"]\n  17 [size=\"73809920\", alpha=\"0.08\", expect_size=\"29523968\"] \n  17 -> 18 [size =\"29523968\"]\n  18 [size=\"128604160\", alpha=\"0.08\", expect_size=\"51441664\"] \n  18 -> 19 [size =\"51441664\"]\n  19 [size=\"51701760\", alpha=\"0.04\", expect_size=\"20680704\"] \n  19 -> 20 [size =\"20680704\"]\n  20 [size=\"111902720\", alpha=\"0.09\", expect_size=\"44761088\"] \n  20 -> 21 [size =\"44761088\"]\n  21 [size=\"61506560\", alpha=\"0.11\", expect_size=\"24602624\"] \n  21 -> 22 [size =\"24602624\"]\n  22 [size=\"115655680\", alpha=\"0.10\", expect_size=\"46262272\"] \n  22 -> 23 [size =\"46262272\"]\n  23 [size=\"28149760\", alpha=\"0.04\", expect_size=\"11259904\"] \n  23 -> 24 [size =\"11259904\"]\n  24 [size=\"44915200\", alpha=\"0.11\", expect_size=\"17966080\"] \n  24 -> 25 [size =\"17966080\"]\n  25 [size=\"22438400\", alpha=\"0.02\", expect_size=\"8975360\"] \n  25 -> 26 [size =\"8975360\"]\n  26 [size=\"106856960\", alpha=\"0.05\", expect_size=\"42742784\"] \n  26 -> 27 [size =\"42742784\"]\n  27 [size=\"49044480\", alpha=\"0.02\", expect_size=\"19617792\"] \n  27 -> 28 [size =\"19617792\"]\n  28 [size=\"98329600\", alpha=\"0.05\", expect_size=\"39331840\"] \n  28 -> 29 [size =\"39331840\"]\n  29 [size=\"29419520\", alpha=\"0.20\", expect_size=\"11767808\"] \n  29 -> 30 [size =\"11767808\"]\n  30 [size=\"53831680\", alpha=\"0.16\", expect_size=\"21532672\"] \n  30 -> 31 [size =\"21532672\"]\n  31 [size=\"105932800\", alpha=\"0.15\", expect_size=\"42373120\"] \n  31 -> 32 [size =\"42373120\"]\n  32 [size=\"55608320\", alpha=\"0.13\", expect_size=\"22243328\"] \n  32 -> 33 [size =\"22243328\"]\n  33 [size=\"112532480\", alpha=\"0.19\", expect_size=\"45012992\"] \n  33 -> 34 [size =\"45012992\"]\n  34 [size=\"20305920\", alpha=\"0.02\", expect_size=\"8122368\"] \n  34 -> 35 [size =\"8122368\"]\n  35 [size=\"84377600\", alpha=\"0.00\", expect_size=\"33751040\"] \n  35 -> 36 [size =\"33751040\"]\n  36 [size=\"96921600\", alpha=\"0.06\", expect_size=\"38768640\"] \n  36 -> 37 [size =\"38768640\"]\n  37 [size=\"124229120\", alpha=\"0.03\", expect_size=\"49691648\"] \n  37 -> 38 [size =\"49691648\"]\n  38 [size=\"17341440\", alpha=\"0.19\", expect_size=\"6936576\"] \n  38 -> 39 [size =\"6936576\"]\n  39 [size=\"44403200\", alpha=\"0.01\", expect_size=\"17761280\"] \n  39 -> 40 [size =\"17761280\"]\n  40 [size=\"43297280\", alpha=\"0.01\", expect_size=\"17318912\"] \n  40 -> 41 [size =\"17318912\"]\n  41 [size=\"19904000\", alpha=\"0.08\", expect_size=\"7961600\"] \n  41 -> 42 [size =\"7961600\"]\n  42 [size=\"107230720\", alpha=\"0.13\", expect_size=\"42892288\"] \n  42 -> 43 [size =\"42892288\"]\n  43 [size=\"65666560\", alpha=\"0.01\", expect_size=\"26266624\"] \n  43 -> 44 [size =\"26266624\"]\n  44 [size=\"62645760\", alpha=\"0.14\", expect_size=\"25058304\"] \n  44 -> 45 [size =\"25058304\"]\n  45 [size=\"74278400\", alpha=\"0.08\", expect_size=\"29711360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22020096\", alpha=\"0.06\", expect_size=\"11010048\"] \n  1 -> 5 [size =\"11010048\"]\n  2 [size=\"98017280\", alpha=\"0.04\", expect_size=\"49008640\"] \n  2 -> 4 [size =\"49008640\"]\n  3 [size=\"88563712\", alpha=\"0.15\", expect_size=\"44281856\"] \n  3 -> 4 [size =\"44281856\"]\n  3 -> 6 [size =\"44281856\"]\n  4 [size=\"15783936\", alpha=\"0.12\", expect_size=\"7891968\"] \n  4 -> 7 [size =\"7891968\"]\n  5 [size=\"88000512\", alpha=\"0.02\", expect_size=\"44000256\"] \n  5 -> 8 [size =\"44000256\"]\n  5 -> 9 [size =\"44000256\"]\n  6 [size=\"45907968\", alpha=\"0.19\", expect_size=\"22953984\"] \n  6 -> 8 [size =\"22953984\"]\n  6 -> 9 [size =\"22953984\"]\n  7 [size=\"94287872\", alpha=\"0.07\", expect_size=\"47143936\"] \n  7 -> 10 [size =\"47143936\"]\n  7 -> 11 [size =\"47143936\"]\n  7 -> 12 [size =\"47143936\"]\n  8 [size=\"70500352\", alpha=\"0.03\", expect_size=\"35250176\"] \n  8 -> 10 [size =\"35250176\"]\n  9 [size=\"65388544\", alpha=\"0.03\", expect_size=\"32694272\"] \n  9 -> 11 [size =\"32694272\"]\n  9 -> 12 [size =\"32694272\"]\n  10 [size=\"37099520\", alpha=\"0.11\", expect_size=\"18549760\"] \n  10 -> 13 [size =\"18549760\"]\n  10 -> 14 [size =\"18549760\"]\n  11 [size=\"12533760\", alpha=\"0.19\", expect_size=\"6266880\"] \n  11 -> 14 [size =\"6266880\"]\n  12 [size=\"40394752\", alpha=\"0.13\", expect_size=\"20197376\"] \n  12 -> 13 [size =\"20197376\"]\n  13 [size=\"58132480\", alpha=\"0.03\", expect_size=\"29066240\"] \n  13 -> 15 [size =\"29066240\"]\n  14 [size=\"33216512\", alpha=\"0.04\", expect_size=\"16608256\"] \n  14 -> 15 [size =\"16608256\"]\n  14 -> 16 [size =\"16608256\"]\n  15 [size=\"91860992\", alpha=\"0.03\", expect_size=\"45930496\"] \n  15 -> 17 [size =\"45930496\"]\n  15 -> 18 [size =\"45930496\"]\n  16 [size=\"102191104\", alpha=\"0.15\", expect_size=\"51095552\"] \n  16 -> 17 [size =\"51095552\"]\n  16 -> 19 [size =\"51095552\"]\n  17 [size=\"96282624\", alpha=\"0.12\", expect_size=\"48141312\"] \n  17 -> 21 [size =\"48141312\"]\n  18 [size=\"35129344\", alpha=\"0.16\", expect_size=\"17564672\"] \n  18 -> 20 [size =\"17564672\"]\n  19 [size=\"50372608\", alpha=\"0.13\", expect_size=\"25186304\"] \n  19 -> 20 [size =\"25186304\"]\n  20 [size=\"62695424\", alpha=\"0.15\", expect_size=\"31347712\"] \n  20 -> 22 [size =\"31347712\"]\n  20 -> 24 [size =\"31347712\"]\n  21 [size=\"21245952\", alpha=\"0.19\", expect_size=\"10622976\"] \n  21 -> 23 [size =\"10622976\"]\n  22 [size=\"17666048\", alpha=\"0.01\", expect_size=\"8833024\"] \n  22 -> 25 [size =\"8833024\"]\n  23 [size=\"78684160\", alpha=\"0.00\", expect_size=\"39342080\"] \n  23 -> 25 [size =\"39342080\"]\n  23 -> 27 [size =\"39342080\"]\n  23 -> 28 [size =\"39342080\"]\n  24 [size=\"91971584\", alpha=\"0.01\", expect_size=\"45985792\"] \n  24 -> 26 [size =\"45985792\"]\n  24 -> 27 [size =\"45985792\"]\n  24 -> 28 [size =\"45985792\"]\n  25 [size=\"16121856\", alpha=\"0.17\", expect_size=\"8060928\"] \n  25 -> 30 [size =\"8060928\"]\n  26 [size=\"28620800\", alpha=\"0.01\", expect_size=\"14310400\"] \n  26 -> 30 [size =\"14310400\"]\n  27 [size=\"98805760\", alpha=\"0.03\", expect_size=\"49402880\"] \n  27 -> 29 [size =\"49402880\"]\n  27 -> 30 [size =\"49402880\"]\n  28 [size=\"59222016\", alpha=\"0.18\", expect_size=\"29611008\"] \n  28 -> 31 [size =\"29611008\"]\n  29 [size=\"42323968\", alpha=\"0.04\", expect_size=\"21161984\"] \n  29 -> 32 [size =\"21161984\"]\n  29 -> 34 [size =\"21161984\"]\n  30 [size=\"103477248\", alpha=\"0.16\", expect_size=\"51738624\"] \n  30 -> 32 [size =\"51738624\"]\n  30 -> 35 [size =\"51738624\"]\n  31 [size=\"77787136\", alpha=\"0.09\", expect_size=\"38893568\"] \n  31 -> 33 [size =\"38893568\"]\n  31 -> 34 [size =\"38893568\"]\n  31 -> 35 [size =\"38893568\"]\n  32 [size=\"71159808\", alpha=\"0.07\", expect_size=\"35579904\"] \n  32 -> 37 [size =\"35579904\"]\n  33 [size=\"76756992\", alpha=\"0.16\", expect_size=\"38378496\"] \n  34 [size=\"78286848\", alpha=\"0.10\", expect_size=\"39143424\"] \n  34 -> 36 [size =\"39143424\"]\n  34 -> 38 [size =\"39143424\"]\n  35 [size=\"81047552\", alpha=\"0.01\", expect_size=\"40523776\"] \n  35 -> 37 [size =\"40523776\"]\n  36 [size=\"68184064\", alpha=\"0.11\", expect_size=\"34092032\"] \n  37 [size=\"75118592\", alpha=\"0.20\", expect_size=\"37559296\"] \n  37 -> 39 [size =\"37559296\"]\n  37 -> 40 [size =\"37559296\"]\n  38 [size=\"91285504\", alpha=\"0.13\", expect_size=\"45642752\"] \n  38 -> 40 [size =\"45642752\"]\n  39 [size=\"82323456\", alpha=\"0.16\", expect_size=\"41161728\"] \n  39 -> 41 [size =\"41161728\"]\n  40 [size=\"103141376\", alpha=\"0.09\", expect_size=\"51570688\"] \n  40 -> 42 [size =\"51570688\"]\n  41 [size=\"85979136\", alpha=\"0.04\", expect_size=\"42989568\"] \n  41 -> 43 [size =\"42989568\"]\n  41 -> 45 [size =\"42989568\"]\n  42 [size=\"32886784\", alpha=\"0.01\", expect_size=\"16443392\"] \n  42 -> 44 [size =\"16443392\"]\n  43 [size=\"68147200\", alpha=\"0.13\", expect_size=\"34073600\"] \n  44 [size=\"50661376\", alpha=\"0.02\", expect_size=\"25330688\"] \n  45 [size=\"97536000\", alpha=\"0.12\", expect_size=\"48768000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86367573\", alpha=\"0.12\", expect_size=\"25910272\"] \n  1 -> 32 [size =\"25910272\"]\n  1 -> 34 [size =\"25910272\"]\n  1 -> 38 [size =\"25910272\"]\n  2 [size=\"74424320\", alpha=\"0.00\", expect_size=\"22327296\"] \n  2 -> 36 [size =\"22327296\"]\n  2 -> 43 [size =\"22327296\"]\n  3 [size=\"84715520\", alpha=\"0.12\", expect_size=\"25414656\"] \n  3 -> 32 [size =\"25414656\"]\n  3 -> 36 [size =\"25414656\"]\n  3 -> 40 [size =\"25414656\"]\n  3 -> 41 [size =\"25414656\"]\n  4 [size=\"64866987\", alpha=\"0.17\", expect_size=\"19460096\"] \n  4 -> 32 [size =\"19460096\"]\n  4 -> 36 [size =\"19460096\"]\n  4 -> 44 [size =\"19460096\"]\n  4 -> 45 [size =\"19460096\"]\n  5 [size=\"84090880\", alpha=\"0.10\", expect_size=\"25227264\"] \n  5 -> 35 [size =\"25227264\"]\n  5 -> 36 [size =\"25227264\"]\n  5 -> 38 [size =\"25227264\"]\n  5 -> 41 [size =\"25227264\"]\n  5 -> 42 [size =\"25227264\"]\n  5 -> 45 [size =\"25227264\"]\n  6 [size=\"165638827\", alpha=\"0.05\", expect_size=\"49691648\"] \n  6 -> 34 [size =\"49691648\"]\n  6 -> 36 [size =\"49691648\"]\n  6 -> 38 [size =\"49691648\"]\n  6 -> 40 [size =\"49691648\"]\n  6 -> 41 [size =\"49691648\"]\n  7 [size=\"71553707\", alpha=\"0.05\", expect_size=\"21466112\"] \n  7 -> 34 [size =\"21466112\"]\n  7 -> 35 [size =\"21466112\"]\n  7 -> 36 [size =\"21466112\"]\n  7 -> 37 [size =\"21466112\"]\n  7 -> 38 [size =\"21466112\"]\n  7 -> 39 [size =\"21466112\"]\n  7 -> 40 [size =\"21466112\"]\n  7 -> 41 [size =\"21466112\"]\n  7 -> 42 [size =\"21466112\"]\n  7 -> 43 [size =\"21466112\"]\n  7 -> 45 [size =\"21466112\"]\n  8 [size=\"57415680\", alpha=\"0.01\", expect_size=\"17224704\"] \n  8 -> 34 [size =\"17224704\"]\n  8 -> 35 [size =\"17224704\"]\n  8 -> 36 [size =\"17224704\"]\n  8 -> 39 [size =\"17224704\"]\n  8 -> 41 [size =\"17224704\"]\n  8 -> 42 [size =\"17224704\"]\n  8 -> 44 [size =\"17224704\"]\n  9 [size=\"95474347\", alpha=\"0.01\", expect_size=\"28642304\"] \n  9 -> 35 [size =\"28642304\"]\n  9 -> 35 [size =\"28642304\"]\n  9 -> 37 [size =\"28642304\"]\n  9 -> 40 [size =\"28642304\"]\n  9 -> 43 [size =\"28642304\"]\n  10 [size=\"31436800\", alpha=\"0.16\", expect_size=\"9431040\"] \n  10 -> 34 [size =\"9431040\"]\n  10 -> 35 [size =\"9431040\"]\n  10 -> 39 [size =\"9431040\"]\n  10 -> 40 [size =\"9431040\"]\n  10 -> 42 [size =\"9431040\"]\n  10 -> 43 [size =\"9431040\"]\n  11 [size=\"111039147\", alpha=\"0.09\", expect_size=\"33311744\"] \n  11 -> 35 [size =\"33311744\"]\n  11 -> 35 [size =\"33311744\"]\n  11 -> 40 [size =\"33311744\"]\n  11 -> 44 [size =\"33311744\"]\n  12 [size=\"48015360\", alpha=\"0.09\", expect_size=\"14404608\"] \n  12 -> 34 [size =\"14404608\"]\n  12 -> 35 [size =\"14404608\"]\n  12 -> 36 [size =\"14404608\"]\n  12 -> 38 [size =\"14404608\"]\n  12 -> 40 [size =\"14404608\"]\n  12 -> 41 [size =\"14404608\"]\n  12 -> 42 [size =\"14404608\"]\n  13 [size=\"48059733\", alpha=\"0.01\", expect_size=\"14417920\"] \n  13 -> 35 [size =\"14417920\"]\n  13 -> 36 [size =\"14417920\"]\n  13 -> 36 [size =\"14417920\"]\n  13 -> 40 [size =\"14417920\"]\n  13 -> 42 [size =\"14417920\"]\n  14 [size=\"144571733\", alpha=\"0.01\", expect_size=\"43371520\"] \n  14 -> 36 [size =\"43371520\"]\n  15 [size=\"123439787\", alpha=\"0.05\", expect_size=\"37031936\"] \n  15 -> 36 [size =\"37031936\"]\n  15 -> 38 [size =\"37031936\"]\n  15 -> 44 [size =\"37031936\"]\n  16 [size=\"44264107\", alpha=\"0.09\", expect_size=\"13279232\"] \n  16 -> 35 [size =\"13279232\"]\n  16 -> 36 [size =\"13279232\"]\n  16 -> 37 [size =\"13279232\"]\n  16 -> 39 [size =\"13279232\"]\n  16 -> 42 [size =\"13279232\"]\n  16 -> 43 [size =\"13279232\"]\n  17 [size=\"85852160\", alpha=\"0.15\", expect_size=\"25755648\"] \n  17 -> 32 [size =\"25755648\"]\n  17 -> 33 [size =\"25755648\"]\n  17 -> 35 [size =\"25755648\"]\n  17 -> 36 [size =\"25755648\"]\n  17 -> 37 [size =\"25755648\"]\n  17 -> 39 [size =\"25755648\"]\n  17 -> 40 [size =\"25755648\"]\n  17 -> 41 [size =\"25755648\"]\n  18 [size=\"124955307\", alpha=\"0.19\", expect_size=\"37486592\"] \n  18 -> 34 [size =\"37486592\"]\n  18 -> 35 [size =\"37486592\"]\n  18 -> 36 [size =\"37486592\"]\n  18 -> 37 [size =\"37486592\"]\n  18 -> 38 [size =\"37486592\"]\n  18 -> 44 [size =\"37486592\"]\n  19 [size=\"130187947\", alpha=\"0.10\", expect_size=\"39056384\"] \n  19 -> 34 [size =\"39056384\"]\n  19 -> 36 [size =\"39056384\"]\n  19 -> 36 [size =\"39056384\"]\n  19 -> 38 [size =\"39056384\"]\n  19 -> 40 [size =\"39056384\"]\n  20 [size=\"134642347\", alpha=\"0.07\", expect_size=\"40392704\"] \n  20 -> 32 [size =\"40392704\"]\n  20 -> 38 [size =\"40392704\"]\n  20 -> 39 [size =\"40392704\"]\n  20 -> 41 [size =\"40392704\"]\n  20 -> 42 [size =\"40392704\"]\n  20 -> 44 [size =\"40392704\"]\n  21 [size=\"103656107\", alpha=\"0.13\", expect_size=\"31096832\"] \n  21 -> 35 [size =\"31096832\"]\n  21 -> 36 [size =\"31096832\"]\n  21 -> 37 [size =\"31096832\"]\n  21 -> 38 [size =\"31096832\"]\n  21 -> 39 [size =\"31096832\"]\n  21 -> 42 [size =\"31096832\"]\n  22 [size=\"18804053\", alpha=\"0.06\", expect_size=\"5641216\"] \n  22 -> 32 [size =\"5641216\"]\n  22 -> 35 [size =\"5641216\"]\n  22 -> 39 [size =\"5641216\"]\n  22 -> 40 [size =\"5641216\"]\n  22 -> 42 [size =\"5641216\"]\n  22 -> 42 [size =\"5641216\"]\n  23 [size=\"87394987\", alpha=\"0.08\", expect_size=\"26218496\"] \n  23 -> 32 [size =\"26218496\"]\n  23 -> 40 [size =\"26218496\"]\n  23 -> 42 [size =\"26218496\"]\n  23 -> 43 [size =\"26218496\"]\n  23 -> 44 [size =\"26218496\"]\n  24 [size=\"96508587\", alpha=\"0.16\", expect_size=\"28952576\"] \n  24 -> 34 [size =\"28952576\"]\n  24 -> 35 [size =\"28952576\"]\n  24 -> 36 [size =\"28952576\"]\n  24 -> 40 [size =\"28952576\"]\n  24 -> 41 [size =\"28952576\"]\n  24 -> 42 [size =\"28952576\"]\n  24 -> 43 [size =\"28952576\"]\n  25 [size=\"107318613\", alpha=\"0.13\", expect_size=\"32195584\"] \n  25 -> 35 [size =\"32195584\"]\n  25 -> 36 [size =\"32195584\"]\n  25 -> 39 [size =\"32195584\"]\n  25 -> 41 [size =\"32195584\"]\n  25 -> 42 [size =\"32195584\"]\n  25 -> 42 [size =\"32195584\"]\n  25 -> 43 [size =\"32195584\"]\n  26 [size=\"144626347\", alpha=\"0.08\", expect_size=\"43387904\"] \n  26 -> 35 [size =\"43387904\"]\n  26 -> 36 [size =\"43387904\"]\n  26 -> 37 [size =\"43387904\"]\n  26 -> 38 [size =\"43387904\"]\n  26 -> 40 [size =\"43387904\"]\n  26 -> 41 [size =\"43387904\"]\n  26 -> 42 [size =\"43387904\"]\n  26 -> 43 [size =\"43387904\"]\n  27 [size=\"55033173\", alpha=\"0.10\", expect_size=\"16509952\"] \n  27 -> 33 [size =\"16509952\"]\n  27 -> 34 [size =\"16509952\"]\n  27 -> 36 [size =\"16509952\"]\n  27 -> 37 [size =\"16509952\"]\n  27 -> 38 [size =\"16509952\"]\n  27 -> 40 [size =\"16509952\"]\n  27 -> 41 [size =\"16509952\"]\n  27 -> 43 [size =\"16509952\"]\n  28 [size=\"171530240\", alpha=\"0.17\", expect_size=\"51459072\"] \n  28 -> 36 [size =\"51459072\"]\n  28 -> 37 [size =\"51459072\"]\n  28 -> 40 [size =\"51459072\"]\n  28 -> 41 [size =\"51459072\"]\n  28 -> 42 [size =\"51459072\"]\n  28 -> 43 [size =\"51459072\"]\n  29 [size=\"164061867\", alpha=\"0.14\", expect_size=\"49218560\"] \n  29 -> 34 [size =\"49218560\"]\n  29 -> 36 [size =\"49218560\"]\n  29 -> 40 [size =\"49218560\"]\n  29 -> 41 [size =\"49218560\"]\n  29 -> 42 [size =\"49218560\"]\n  29 -> 44 [size =\"49218560\"]\n  30 [size=\"83063467\", alpha=\"0.13\", expect_size=\"24919040\"] \n  30 -> 34 [size =\"24919040\"]\n  30 -> 38 [size =\"24919040\"]\n  30 -> 40 [size =\"24919040\"]\n  30 -> 41 [size =\"24919040\"]\n  30 -> 44 [size =\"24919040\"]\n  30 -> 44 [size =\"24919040\"]\n  31 [size=\"138219520\", alpha=\"0.04\", expect_size=\"41465856\"] \n  31 -> 36 [size =\"41465856\"]\n  31 -> 37 [size =\"41465856\"]\n  31 -> 42 [size =\"41465856\"]\n  32 [size=\"83851947\", alpha=\"0.18\", expect_size=\"25155584\"] \n  33 [size=\"134198613\", alpha=\"0.17\", expect_size=\"40259584\"] \n  34 [size=\"41925973\", alpha=\"0.11\", expect_size=\"12577792\"] \n  35 [size=\"168994133\", alpha=\"0.20\", expect_size=\"50698240\"] \n  36 [size=\"110168747\", alpha=\"0.11\", expect_size=\"33050624\"] \n  37 [size=\"170891947\", alpha=\"0.11\", expect_size=\"51267584\"] \n  38 [size=\"90671787\", alpha=\"0.05\", expect_size=\"27201536\"] \n  39 [size=\"66737493\", alpha=\"0.14\", expect_size=\"20021248\"] \n  40 [size=\"19807573\", alpha=\"0.17\", expect_size=\"5942272\"] \n  41 [size=\"121125547\", alpha=\"0.11\", expect_size=\"36337664\"] \n  42 [size=\"149684907\", alpha=\"0.05\", expect_size=\"44905472\"] \n  43 [size=\"136024747\", alpha=\"0.08\", expect_size=\"40807424\"] \n  44 [size=\"110731947\", alpha=\"0.02\", expect_size=\"33219584\"] \n  45 [size=\"43615573\", alpha=\"0.06\", expect_size=\"13084672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60313600\", alpha=\"0.16\", expect_size=\"18094080\"] \n  1 -> 16 [size =\"18094080\"]\n  1 -> 21 [size =\"18094080\"]\n  1 -> 24 [size =\"18094080\"]\n  2 [size=\"92777813\", alpha=\"0.01\", expect_size=\"27833344\"] \n  2 -> 16 [size =\"27833344\"]\n  2 -> 19 [size =\"27833344\"]\n  2 -> 24 [size =\"27833344\"]\n  3 [size=\"43393707\", alpha=\"0.10\", expect_size=\"13018112\"] \n  3 -> 17 [size =\"13018112\"]\n  3 -> 22 [size =\"13018112\"]\n  3 -> 26 [size =\"13018112\"]\n  4 [size=\"116401493\", alpha=\"0.19\", expect_size=\"34920448\"] \n  4 -> 19 [size =\"34920448\"]\n  4 -> 21 [size =\"34920448\"]\n  4 -> 22 [size =\"34920448\"]\n  4 -> 23 [size =\"34920448\"]\n  4 -> 24 [size =\"34920448\"]\n  5 [size=\"81916587\", alpha=\"0.13\", expect_size=\"24574976\"] \n  5 -> 22 [size =\"24574976\"]\n  5 -> 24 [size =\"24574976\"]\n  6 [size=\"108612267\", alpha=\"0.07\", expect_size=\"32583680\"] \n  6 -> 26 [size =\"32583680\"]\n  7 [size=\"59839147\", alpha=\"0.17\", expect_size=\"17951744\"] \n  7 -> 15 [size =\"17951744\"]\n  7 -> 17 [size =\"17951744\"]\n  7 -> 18 [size =\"17951744\"]\n  7 -> 19 [size =\"17951744\"]\n  7 -> 22 [size =\"17951744\"]\n  7 -> 24 [size =\"17951744\"]\n  8 [size=\"164904960\", alpha=\"0.10\", expect_size=\"49471488\"] \n  8 -> 16 [size =\"49471488\"]\n  8 -> 18 [size =\"49471488\"]\n  8 -> 20 [size =\"49471488\"]\n  8 -> 21 [size =\"49471488\"]\n  9 [size=\"174684160\", alpha=\"0.09\", expect_size=\"52405248\"] \n  9 -> 16 [size =\"52405248\"]\n  9 -> 21 [size =\"52405248\"]\n  9 -> 22 [size =\"52405248\"]\n  10 [size=\"106666667\", alpha=\"0.18\", expect_size=\"32000000\"] \n  10 -> 15 [size =\"32000000\"]\n  10 -> 16 [size =\"32000000\"]\n  10 -> 20 [size =\"32000000\"]\n  10 -> 26 [size =\"32000000\"]\n  11 [size=\"147435520\", alpha=\"0.18\", expect_size=\"44230656\"] \n  11 -> 17 [size =\"44230656\"]\n  11 -> 22 [size =\"44230656\"]\n  12 [size=\"113134933\", alpha=\"0.07\", expect_size=\"33940480\"] \n  12 -> 18 [size =\"33940480\"]\n  12 -> 21 [size =\"33940480\"]\n  12 -> 22 [size =\"33940480\"]\n  13 [size=\"120483840\", alpha=\"0.09\", expect_size=\"36145152\"] \n  13 -> 18 [size =\"36145152\"]\n  13 -> 19 [size =\"36145152\"]\n  13 -> 22 [size =\"36145152\"]\n  13 -> 25 [size =\"36145152\"]\n  14 [size=\"44858027\", alpha=\"0.07\", expect_size=\"13457408\"] \n  14 -> 16 [size =\"13457408\"]\n  14 -> 18 [size =\"13457408\"]\n  14 -> 21 [size =\"13457408\"]\n  14 -> 22 [size =\"13457408\"]\n  14 -> 23 [size =\"13457408\"]\n  15 [size=\"39970133\", alpha=\"0.12\", expect_size=\"11991040\"] \n  15 -> 33 [size =\"11991040\"]\n  15 -> 37 [size =\"11991040\"]\n  15 -> 38 [size =\"11991040\"]\n  16 [size=\"144141653\", alpha=\"0.06\", expect_size=\"43242496\"] \n  16 -> 33 [size =\"43242496\"]\n  16 -> 34 [size =\"43242496\"]\n  16 -> 36 [size =\"43242496\"]\n  16 -> 37 [size =\"43242496\"]\n  16 -> 38 [size =\"43242496\"]\n  16 -> 39 [size =\"43242496\"]\n  17 [size=\"39601493\", alpha=\"0.09\", expect_size=\"11880448\"] \n  17 -> 27 [size =\"11880448\"]\n  17 -> 28 [size =\"11880448\"]\n  17 -> 29 [size =\"11880448\"]\n  17 -> 32 [size =\"11880448\"]\n  17 -> 34 [size =\"11880448\"]\n  17 -> 36 [size =\"11880448\"]\n  17 -> 37 [size =\"11880448\"]\n  17 -> 38 [size =\"11880448\"]\n  17 -> 39 [size =\"11880448\"]\n  18 [size=\"18346667\", alpha=\"0.20\", expect_size=\"5504000\"] \n  18 -> 27 [size =\"5504000\"]\n  18 -> 30 [size =\"5504000\"]\n  18 -> 34 [size =\"5504000\"]\n  18 -> 36 [size =\"5504000\"]\n  18 -> 37 [size =\"5504000\"]\n  18 -> 38 [size =\"5504000\"]\n  19 [size=\"99553280\", alpha=\"0.13\", expect_size=\"29865984\"] \n  19 -> 27 [size =\"29865984\"]\n  19 -> 32 [size =\"29865984\"]\n  19 -> 33 [size =\"29865984\"]\n  20 [size=\"170915840\", alpha=\"0.08\", expect_size=\"51274752\"] \n  20 -> 30 [size =\"51274752\"]\n  20 -> 32 [size =\"51274752\"]\n  20 -> 37 [size =\"51274752\"]\n  21 [size=\"156255573\", alpha=\"0.08\", expect_size=\"46876672\"] \n  21 -> 27 [size =\"46876672\"]\n  21 -> 29 [size =\"46876672\"]\n  21 -> 31 [size =\"46876672\"]\n  21 -> 35 [size =\"46876672\"]\n  21 -> 36 [size =\"46876672\"]\n  21 -> 37 [size =\"46876672\"]\n  21 -> 38 [size =\"46876672\"]\n  22 [size=\"136652800\", alpha=\"0.18\", expect_size=\"40995840\"] \n  22 -> 27 [size =\"40995840\"]\n  22 -> 30 [size =\"40995840\"]\n  22 -> 33 [size =\"40995840\"]\n  22 -> 34 [size =\"40995840\"]\n  23 [size=\"31798613\", alpha=\"0.12\", expect_size=\"9539584\"] \n  23 -> 27 [size =\"9539584\"]\n  23 -> 32 [size =\"9539584\"]\n  23 -> 33 [size =\"9539584\"]\n  23 -> 34 [size =\"9539584\"]\n  23 -> 36 [size =\"9539584\"]\n  23 -> 38 [size =\"9539584\"]\n  24 [size=\"102253227\", alpha=\"0.17\", expect_size=\"30675968\"] \n  24 -> 30 [size =\"30675968\"]\n  24 -> 33 [size =\"30675968\"]\n  24 -> 35 [size =\"30675968\"]\n  24 -> 36 [size =\"30675968\"]\n  24 -> 37 [size =\"30675968\"]\n  24 -> 39 [size =\"30675968\"]\n  25 [size=\"154828800\", alpha=\"0.11\", expect_size=\"46448640\"] \n  25 -> 32 [size =\"46448640\"]\n  25 -> 34 [size =\"46448640\"]\n  26 [size=\"92467200\", alpha=\"0.17\", expect_size=\"27740160\"] \n  26 -> 30 [size =\"27740160\"]\n  26 -> 31 [size =\"27740160\"]\n  26 -> 33 [size =\"27740160\"]\n  26 -> 34 [size =\"27740160\"]\n  26 -> 36 [size =\"27740160\"]\n  26 -> 38 [size =\"27740160\"]\n  27 [size=\"142237013\", alpha=\"0.08\", expect_size=\"42671104\"] \n  27 -> 40 [size =\"42671104\"]\n  27 -> 41 [size =\"42671104\"]\n  27 -> 42 [size =\"42671104\"]\n  27 -> 43 [size =\"42671104\"]\n  28 [size=\"53350400\", alpha=\"0.18\", expect_size=\"16005120\"] \n  28 -> 43 [size =\"16005120\"]\n  29 [size=\"51841707\", alpha=\"0.07\", expect_size=\"15552512\"] \n  29 -> 41 [size =\"15552512\"]\n  29 -> 44 [size =\"15552512\"]\n  30 [size=\"155863040\", alpha=\"0.08\", expect_size=\"46758912\"] \n  30 -> 42 [size =\"46758912\"]\n  31 [size=\"62484480\", alpha=\"0.06\", expect_size=\"18745344\"] \n  31 -> 40 [size =\"18745344\"]\n  31 -> 43 [size =\"18745344\"]\n  31 -> 44 [size =\"18745344\"]\n  32 [size=\"129112747\", alpha=\"0.16\", expect_size=\"38733824\"] \n  32 -> 42 [size =\"38733824\"]\n  32 -> 43 [size =\"38733824\"]\n  33 [size=\"116486827\", alpha=\"0.19\", expect_size=\"34946048\"] \n  33 -> 40 [size =\"34946048\"]\n  33 -> 41 [size =\"34946048\"]\n  33 -> 45 [size =\"34946048\"]\n  34 [size=\"50520747\", alpha=\"0.05\", expect_size=\"15156224\"] \n  34 -> 40 [size =\"15156224\"]\n  34 -> 44 [size =\"15156224\"]\n  34 -> 45 [size =\"15156224\"]\n  35 [size=\"30143147\", alpha=\"0.14\", expect_size=\"9042944\"] \n  35 -> 40 [size =\"9042944\"]\n  35 -> 41 [size =\"9042944\"]\n  35 -> 44 [size =\"9042944\"]\n  35 -> 45 [size =\"9042944\"]\n  36 [size=\"119797760\", alpha=\"0.19\", expect_size=\"35939328\"] \n  36 -> 40 [size =\"35939328\"]\n  36 -> 41 [size =\"35939328\"]\n  36 -> 44 [size =\"35939328\"]\n  36 -> 45 [size =\"35939328\"]\n  37 [size=\"96040960\", alpha=\"0.07\", expect_size=\"28812288\"] \n  37 -> 42 [size =\"28812288\"]\n  37 -> 44 [size =\"28812288\"]\n  37 -> 45 [size =\"28812288\"]\n  38 [size=\"158528853\", alpha=\"0.16\", expect_size=\"47558656\"] \n  38 -> 41 [size =\"47558656\"]\n  38 -> 43 [size =\"47558656\"]\n  38 -> 45 [size =\"47558656\"]\n  39 [size=\"140117333\", alpha=\"0.14\", expect_size=\"42035200\"] \n  39 -> 41 [size =\"42035200\"]\n  39 -> 42 [size =\"42035200\"]\n  39 -> 44 [size =\"42035200\"]\n  40 [size=\"40731307\", alpha=\"0.12\", expect_size=\"12219392\"] \n  41 [size=\"106850987\", alpha=\"0.08\", expect_size=\"32055296\"] \n  42 [size=\"153859413\", alpha=\"0.19\", expect_size=\"46157824\"] \n  43 [size=\"120128853\", alpha=\"0.12\", expect_size=\"36038656\"] \n  44 [size=\"108677120\", alpha=\"0.16\", expect_size=\"32603136\"] \n  45 [size=\"146882560\", alpha=\"0.17\", expect_size=\"44064768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96629760\", alpha=\"0.19\", expect_size=\"38651904\"] \n  1 -> 6 [size =\"38651904\"]\n  1 -> 7 [size =\"38651904\"]\n  1 -> 8 [size =\"38651904\"]\n  1 -> 9 [size =\"38651904\"]\n  2 [size=\"108899840\", alpha=\"0.07\", expect_size=\"43559936\"] \n  2 -> 7 [size =\"43559936\"]\n  2 -> 7 [size =\"43559936\"]\n  2 -> 8 [size =\"43559936\"]\n  2 -> 9 [size =\"43559936\"]\n  2 -> 11 [size =\"43559936\"]\n  2 -> 12 [size =\"43559936\"]\n  3 [size=\"57502720\", alpha=\"0.06\", expect_size=\"23001088\"] \n  3 -> 6 [size =\"23001088\"]\n  3 -> 7 [size =\"23001088\"]\n  3 -> 8 [size =\"23001088\"]\n  3 -> 9 [size =\"23001088\"]\n  3 -> 10 [size =\"23001088\"]\n  3 -> 11 [size =\"23001088\"]\n  4 [size=\"76157440\", alpha=\"0.07\", expect_size=\"30462976\"] \n  4 -> 8 [size =\"30462976\"]\n  4 -> 9 [size =\"30462976\"]\n  4 -> 10 [size =\"30462976\"]\n  4 -> 11 [size =\"30462976\"]\n  5 [size=\"63439360\", alpha=\"0.17\", expect_size=\"25375744\"] \n  5 -> 6 [size =\"25375744\"]\n  5 -> 10 [size =\"25375744\"]\n  5 -> 11 [size =\"25375744\"]\n  6 [size=\"107888640\", alpha=\"0.09\", expect_size=\"43155456\"] \n  6 -> 15 [size =\"43155456\"]\n  6 -> 16 [size =\"43155456\"]\n  7 [size=\"117224960\", alpha=\"0.06\", expect_size=\"46889984\"] \n  7 -> 15 [size =\"46889984\"]\n  7 -> 16 [size =\"46889984\"]\n  8 [size=\"31531520\", alpha=\"0.03\", expect_size=\"12612608\"] \n  8 -> 13 [size =\"12612608\"]\n  8 -> 16 [size =\"12612608\"]\n  9 [size=\"37736960\", alpha=\"0.06\", expect_size=\"15094784\"] \n  9 -> 13 [size =\"15094784\"]\n  9 -> 15 [size =\"15094784\"]\n  10 [size=\"85327360\", alpha=\"0.07\", expect_size=\"34130944\"] \n  10 -> 13 [size =\"34130944\"]\n  10 -> 14 [size =\"34130944\"]\n  11 [size=\"33543680\", alpha=\"0.01\", expect_size=\"13417472\"] \n  11 -> 13 [size =\"13417472\"]\n  12 [size=\"25185280\", alpha=\"0.15\", expect_size=\"10074112\"] \n  12 -> 13 [size =\"10074112\"]\n  13 [size=\"67507200\", alpha=\"0.01\", expect_size=\"27002880\"] \n  13 -> 18 [size =\"27002880\"]\n  14 [size=\"101158400\", alpha=\"0.09\", expect_size=\"40463360\"] \n  14 -> 17 [size =\"40463360\"]\n  14 -> 18 [size =\"40463360\"]\n  14 -> 19 [size =\"40463360\"]\n  14 -> 20 [size =\"40463360\"]\n  14 -> 22 [size =\"40463360\"]\n  14 -> 23 [size =\"40463360\"]\n  15 [size=\"23664640\", alpha=\"0.12\", expect_size=\"9465856\"] \n  15 -> 22 [size =\"9465856\"]\n  16 [size=\"123200000\", alpha=\"0.19\", expect_size=\"49280000\"] \n  16 -> 18 [size =\"49280000\"]\n  16 -> 19 [size =\"49280000\"]\n  16 -> 21 [size =\"49280000\"]\n  16 -> 22 [size =\"49280000\"]\n  17 [size=\"58951680\", alpha=\"0.13\", expect_size=\"23580672\"] \n  17 -> 25 [size =\"23580672\"]\n  17 -> 26 [size =\"23580672\"]\n  18 [size=\"91473920\", alpha=\"0.12\", expect_size=\"36589568\"] \n  18 -> 25 [size =\"36589568\"]\n  19 [size=\"111767040\", alpha=\"0.08\", expect_size=\"44706816\"] \n  19 -> 24 [size =\"44706816\"]\n  19 -> 27 [size =\"44706816\"]\n  20 [size=\"30128640\", alpha=\"0.05\", expect_size=\"12051456\"] \n  20 -> 26 [size =\"12051456\"]\n  20 -> 27 [size =\"12051456\"]\n  21 [size=\"73943040\", alpha=\"0.16\", expect_size=\"29577216\"] \n  22 [size=\"79692800\", alpha=\"0.03\", expect_size=\"31877120\"] \n  22 -> 27 [size =\"31877120\"]\n  23 [size=\"52986880\", alpha=\"0.18\", expect_size=\"21194752\"] \n  23 -> 27 [size =\"21194752\"]\n  24 [size=\"57392640\", alpha=\"0.03\", expect_size=\"22957056\"] \n  24 -> 28 [size =\"22957056\"]\n  24 -> 29 [size =\"22957056\"]\n  24 -> 30 [size =\"22957056\"]\n  24 -> 31 [size =\"22957056\"]\n  24 -> 32 [size =\"22957056\"]\n  25 [size=\"108047360\", alpha=\"0.17\", expect_size=\"43218944\"] \n  25 -> 30 [size =\"43218944\"]\n  25 -> 31 [size =\"43218944\"]\n  26 [size=\"59801600\", alpha=\"0.07\", expect_size=\"23920640\"] \n  26 -> 29 [size =\"23920640\"]\n  27 [size=\"56353280\", alpha=\"0.15\", expect_size=\"22541312\"] \n  27 -> 30 [size =\"22541312\"]\n  27 -> 31 [size =\"22541312\"]\n  27 -> 32 [size =\"22541312\"]\n  28 [size=\"13370880\", alpha=\"0.05\", expect_size=\"5348352\"] \n  28 -> 36 [size =\"5348352\"]\n  28 -> 38 [size =\"5348352\"]\n  29 [size=\"81832960\", alpha=\"0.00\", expect_size=\"32733184\"] \n  29 -> 35 [size =\"32733184\"]\n  29 -> 39 [size =\"32733184\"]\n  30 [size=\"13317120\", alpha=\"0.07\", expect_size=\"5326848\"] \n  30 -> 34 [size =\"5326848\"]\n  30 -> 35 [size =\"5326848\"]\n  30 -> 37 [size =\"5326848\"]\n  30 -> 38 [size =\"5326848\"]\n  31 [size=\"43445760\", alpha=\"0.18\", expect_size=\"17378304\"] \n  31 -> 34 [size =\"17378304\"]\n  31 -> 36 [size =\"17378304\"]\n  32 [size=\"19811840\", alpha=\"0.11\", expect_size=\"7924736\"] \n  32 -> 33 [size =\"7924736\"]\n  32 -> 39 [size =\"7924736\"]\n  33 [size=\"38208000\", alpha=\"0.12\", expect_size=\"15283200\"] \n  33 -> 40 [size =\"15283200\"]\n  34 [size=\"25067520\", alpha=\"0.09\", expect_size=\"10027008\"] \n  34 -> 40 [size =\"10027008\"]\n  35 [size=\"43445760\", alpha=\"0.08\", expect_size=\"17378304\"] \n  35 -> 43 [size =\"17378304\"]\n  36 [size=\"25710080\", alpha=\"0.05\", expect_size=\"10284032\"] \n  36 -> 41 [size =\"10284032\"]\n  36 -> 43 [size =\"10284032\"]\n  37 [size=\"66641920\", alpha=\"0.10\", expect_size=\"26656768\"] \n  37 -> 40 [size =\"26656768\"]\n  37 -> 42 [size =\"26656768\"]\n  38 [size=\"34432000\", alpha=\"0.08\", expect_size=\"13772800\"] \n  38 -> 40 [size =\"13772800\"]\n  39 [size=\"65469440\", alpha=\"0.04\", expect_size=\"26187776\"] \n  39 -> 40 [size =\"26187776\"]\n  39 -> 41 [size =\"26187776\"]\n  40 [size=\"66424320\", alpha=\"0.01\", expect_size=\"26569728\"] \n  40 -> 45 [size =\"26569728\"]\n  41 [size=\"109514240\", alpha=\"0.10\", expect_size=\"43805696\"] \n  41 -> 44 [size =\"43805696\"]\n  41 -> 45 [size =\"43805696\"]\n  42 [size=\"97213440\", alpha=\"0.09\", expect_size=\"38885376\"] \n  42 -> 44 [size =\"38885376\"]\n  43 [size=\"41605120\", alpha=\"0.16\", expect_size=\"16642048\"] \n  43 -> 44 [size =\"16642048\"]\n  43 -> 45 [size =\"16642048\"]\n  44 [size=\"115051520\", alpha=\"0.09\", expect_size=\"46020608\"] \n  45 [size=\"51712000\", alpha=\"0.19\", expect_size=\"20684800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62713173\", alpha=\"0.03\", expect_size=\"18813952\"] \n  1 -> 2 [size =\"18813952\"]\n  2 [size=\"154296320\", alpha=\"0.00\", expect_size=\"46288896\"] \n  2 -> 3 [size =\"46288896\"]\n  3 [size=\"85797547\", alpha=\"0.06\", expect_size=\"25739264\"] \n  3 -> 4 [size =\"25739264\"]\n  4 [size=\"79735467\", alpha=\"0.12\", expect_size=\"23920640\"] \n  4 -> 5 [size =\"23920640\"]\n  5 [size=\"172352853\", alpha=\"0.01\", expect_size=\"51705856\"] \n  5 -> 6 [size =\"51705856\"]\n  6 [size=\"49841493\", alpha=\"0.07\", expect_size=\"14952448\"] \n  6 -> 7 [size =\"14952448\"]\n  7 [size=\"105857707\", alpha=\"0.10\", expect_size=\"31757312\"] \n  7 -> 8 [size =\"31757312\"]\n  8 [size=\"73359360\", alpha=\"0.14\", expect_size=\"22007808\"] \n  8 -> 9 [size =\"22007808\"]\n  9 [size=\"32617813\", alpha=\"0.18\", expect_size=\"9785344\"] \n  9 -> 10 [size =\"9785344\"]\n  10 [size=\"102686720\", alpha=\"0.03\", expect_size=\"30806016\"] \n  10 -> 11 [size =\"30806016\"]\n  11 [size=\"153692160\", alpha=\"0.02\", expect_size=\"46107648\"] \n  11 -> 12 [size =\"46107648\"]\n  12 [size=\"174336000\", alpha=\"0.14\", expect_size=\"52300800\"] \n  12 -> 13 [size =\"52300800\"]\n  13 [size=\"18186240\", alpha=\"0.03\", expect_size=\"5455872\"] \n  13 -> 14 [size =\"5455872\"]\n  14 [size=\"61552640\", alpha=\"0.12\", expect_size=\"18465792\"] \n  14 -> 15 [size =\"18465792\"]\n  15 [size=\"154671787\", alpha=\"0.11\", expect_size=\"46401536\"] \n  15 -> 16 [size =\"46401536\"]\n  16 [size=\"159955627\", alpha=\"0.09\", expect_size=\"47986688\"] \n  16 -> 17 [size =\"47986688\"]\n  17 [size=\"54708907\", alpha=\"0.18\", expect_size=\"16412672\"] \n  17 -> 18 [size =\"16412672\"]\n  18 [size=\"130778453\", alpha=\"0.08\", expect_size=\"39233536\"] \n  18 -> 19 [size =\"39233536\"]\n  19 [size=\"86500693\", alpha=\"0.08\", expect_size=\"25950208\"] \n  19 -> 20 [size =\"25950208\"]\n  20 [size=\"73560747\", alpha=\"0.17\", expect_size=\"22068224\"] \n  20 -> 21 [size =\"22068224\"]\n  21 [size=\"94979413\", alpha=\"0.12\", expect_size=\"28493824\"] \n  21 -> 22 [size =\"28493824\"]\n  22 [size=\"112933547\", alpha=\"0.04\", expect_size=\"33880064\"] \n  22 -> 23 [size =\"33880064\"]\n  23 [size=\"67635200\", alpha=\"0.05\", expect_size=\"20290560\"] \n  23 -> 24 [size =\"20290560\"]\n  24 [size=\"92262400\", alpha=\"0.14\", expect_size=\"27678720\"] \n  24 -> 25 [size =\"27678720\"]\n  25 [size=\"29784747\", alpha=\"0.03\", expect_size=\"8935424\"] \n  25 -> 26 [size =\"8935424\"]\n  26 [size=\"113083733\", alpha=\"0.16\", expect_size=\"33925120\"] \n  26 -> 27 [size =\"33925120\"]\n  27 [size=\"30467413\", alpha=\"0.19\", expect_size=\"9140224\"] \n  27 -> 28 [size =\"9140224\"]\n  28 [size=\"172253867\", alpha=\"0.11\", expect_size=\"51676160\"] \n  28 -> 29 [size =\"51676160\"]\n  29 [size=\"74543787\", alpha=\"0.04\", expect_size=\"22363136\"] \n  29 -> 30 [size =\"22363136\"]\n  30 [size=\"135502507\", alpha=\"0.07\", expect_size=\"40650752\"] \n  30 -> 31 [size =\"40650752\"]\n  31 [size=\"111349760\", alpha=\"0.09\", expect_size=\"33404928\"] \n  31 -> 32 [size =\"33404928\"]\n  32 [size=\"47322453\", alpha=\"0.10\", expect_size=\"14196736\"] \n  32 -> 33 [size =\"14196736\"]\n  33 [size=\"80244053\", alpha=\"0.11\", expect_size=\"24073216\"] \n  33 -> 34 [size =\"24073216\"]\n  34 [size=\"121146027\", alpha=\"0.18\", expect_size=\"36343808\"] \n  34 -> 35 [size =\"36343808\"]\n  35 [size=\"75008000\", alpha=\"0.02\", expect_size=\"22502400\"] \n  35 -> 36 [size =\"22502400\"]\n  36 [size=\"96703147\", alpha=\"0.04\", expect_size=\"29010944\"] \n  36 -> 37 [size =\"29010944\"]\n  37 [size=\"61320533\", alpha=\"0.11\", expect_size=\"18396160\"] \n  37 -> 38 [size =\"18396160\"]\n  38 [size=\"57234773\", alpha=\"0.13\", expect_size=\"17170432\"] \n  38 -> 39 [size =\"17170432\"]\n  39 [size=\"140335787\", alpha=\"0.03\", expect_size=\"42100736\"] \n  39 -> 40 [size =\"42100736\"]\n  40 [size=\"168478720\", alpha=\"0.01\", expect_size=\"50543616\"] \n  40 -> 41 [size =\"50543616\"]\n  41 [size=\"69594453\", alpha=\"0.08\", expect_size=\"20878336\"] \n  41 -> 42 [size =\"20878336\"]\n  42 [size=\"137181867\", alpha=\"0.07\", expect_size=\"41154560\"] \n  42 -> 43 [size =\"41154560\"]\n  43 [size=\"56244907\", alpha=\"0.13\", expect_size=\"16873472\"] \n  43 -> 44 [size =\"16873472\"]\n  44 [size=\"142069760\", alpha=\"0.08\", expect_size=\"42620928\"] \n  44 -> 45 [size =\"42620928\"]\n  45 [size=\"124160000\", alpha=\"0.05\", expect_size=\"37248000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39215787\", alpha=\"0.19\", expect_size=\"11764736\"] \n  1 -> 13 [size =\"11764736\"]\n  1 -> 17 [size =\"11764736\"]\n  1 -> 20 [size =\"11764736\"]\n  1 -> 22 [size =\"11764736\"]\n  1 -> 23 [size =\"11764736\"]\n  1 -> 24 [size =\"11764736\"]\n  1 -> 26 [size =\"11764736\"]\n  1 -> 27 [size =\"11764736\"]\n  1 -> 28 [size =\"11764736\"]\n  1 -> 29 [size =\"11764736\"]\n  2 [size=\"21988693\", alpha=\"0.14\", expect_size=\"6596608\"] \n  2 -> 13 [size =\"6596608\"]\n  2 -> 17 [size =\"6596608\"]\n  2 -> 18 [size =\"6596608\"]\n  2 -> 19 [size =\"6596608\"]\n  2 -> 20 [size =\"6596608\"]\n  2 -> 22 [size =\"6596608\"]\n  2 -> 23 [size =\"6596608\"]\n  2 -> 25 [size =\"6596608\"]\n  2 -> 26 [size =\"6596608\"]\n  2 -> 27 [size =\"6596608\"]\n  2 -> 29 [size =\"6596608\"]\n  3 [size=\"65566720\", alpha=\"0.01\", expect_size=\"19670016\"] \n  3 -> 13 [size =\"19670016\"]\n  3 -> 17 [size =\"19670016\"]\n  3 -> 18 [size =\"19670016\"]\n  3 -> 22 [size =\"19670016\"]\n  3 -> 23 [size =\"19670016\"]\n  3 -> 27 [size =\"19670016\"]\n  3 -> 29 [size =\"19670016\"]\n  4 [size=\"116131840\", alpha=\"0.06\", expect_size=\"34839552\"] \n  4 -> 13 [size =\"34839552\"]\n  4 -> 17 [size =\"34839552\"]\n  4 -> 23 [size =\"34839552\"]\n  4 -> 25 [size =\"34839552\"]\n  4 -> 26 [size =\"34839552\"]\n  4 -> 27 [size =\"34839552\"]\n  4 -> 29 [size =\"34839552\"]\n  5 [size=\"33358507\", alpha=\"0.03\", expect_size=\"10007552\"] \n  5 -> 16 [size =\"10007552\"]\n  5 -> 18 [size =\"10007552\"]\n  5 -> 19 [size =\"10007552\"]\n  5 -> 27 [size =\"10007552\"]\n  6 [size=\"158375253\", alpha=\"0.17\", expect_size=\"47512576\"] \n  6 -> 12 [size =\"47512576\"]\n  6 -> 14 [size =\"47512576\"]\n  6 -> 15 [size =\"47512576\"]\n  6 -> 16 [size =\"47512576\"]\n  6 -> 17 [size =\"47512576\"]\n  6 -> 18 [size =\"47512576\"]\n  6 -> 22 [size =\"47512576\"]\n  6 -> 23 [size =\"47512576\"]\n  6 -> 26 [size =\"47512576\"]\n  6 -> 27 [size =\"47512576\"]\n  6 -> 28 [size =\"47512576\"]\n  7 [size=\"27982507\", alpha=\"0.09\", expect_size=\"8394752\"] \n  7 -> 12 [size =\"8394752\"]\n  7 -> 13 [size =\"8394752\"]\n  7 -> 15 [size =\"8394752\"]\n  7 -> 18 [size =\"8394752\"]\n  7 -> 20 [size =\"8394752\"]\n  7 -> 23 [size =\"8394752\"]\n  7 -> 24 [size =\"8394752\"]\n  7 -> 28 [size =\"8394752\"]\n  8 [size=\"84012373\", alpha=\"0.09\", expect_size=\"25203712\"] \n  8 -> 12 [size =\"25203712\"]\n  8 -> 16 [size =\"25203712\"]\n  8 -> 18 [size =\"25203712\"]\n  8 -> 20 [size =\"25203712\"]\n  8 -> 20 [size =\"25203712\"]\n  8 -> 24 [size =\"25203712\"]\n  8 -> 25 [size =\"25203712\"]\n  8 -> 27 [size =\"25203712\"]\n  8 -> 28 [size =\"25203712\"]\n  9 [size=\"59231573\", alpha=\"0.20\", expect_size=\"17769472\"] \n  9 -> 12 [size =\"17769472\"]\n  9 -> 16 [size =\"17769472\"]\n  9 -> 17 [size =\"17769472\"]\n  9 -> 20 [size =\"17769472\"]\n  9 -> 26 [size =\"17769472\"]\n  9 -> 27 [size =\"17769472\"]\n  9 -> 28 [size =\"17769472\"]\n  9 -> 29 [size =\"17769472\"]\n  10 [size=\"172369920\", alpha=\"0.15\", expect_size=\"51710976\"] \n  10 -> 17 [size =\"51710976\"]\n  10 -> 18 [size =\"51710976\"]\n  10 -> 23 [size =\"51710976\"]\n  10 -> 24 [size =\"51710976\"]\n  10 -> 28 [size =\"51710976\"]\n  10 -> 29 [size =\"51710976\"]\n  11 [size=\"120965120\", alpha=\"0.19\", expect_size=\"36289536\"] \n  11 -> 12 [size =\"36289536\"]\n  11 -> 15 [size =\"36289536\"]\n  11 -> 17 [size =\"36289536\"]\n  11 -> 18 [size =\"36289536\"]\n  11 -> 20 [size =\"36289536\"]\n  11 -> 21 [size =\"36289536\"]\n  11 -> 23 [size =\"36289536\"]\n  11 -> 24 [size =\"36289536\"]\n  11 -> 26 [size =\"36289536\"]\n  11 -> 28 [size =\"36289536\"]\n  12 [size=\"113322667\", alpha=\"0.01\", expect_size=\"33996800\"] \n  12 -> 31 [size =\"33996800\"]\n  12 -> 32 [size =\"33996800\"]\n  12 -> 35 [size =\"33996800\"]\n  12 -> 37 [size =\"33996800\"]\n  12 -> 40 [size =\"33996800\"]\n  12 -> 42 [size =\"33996800\"]\n  12 -> 45 [size =\"33996800\"]\n  13 [size=\"66430293\", alpha=\"0.06\", expect_size=\"19929088\"] \n  13 -> 37 [size =\"19929088\"]\n  13 -> 38 [size =\"19929088\"]\n  13 -> 40 [size =\"19929088\"]\n  13 -> 45 [size =\"19929088\"]\n  14 [size=\"76660053\", alpha=\"0.18\", expect_size=\"22998016\"] \n  14 -> 30 [size =\"22998016\"]\n  14 -> 33 [size =\"22998016\"]\n  14 -> 35 [size =\"22998016\"]\n  14 -> 37 [size =\"22998016\"]\n  14 -> 38 [size =\"22998016\"]\n  14 -> 40 [size =\"22998016\"]\n  14 -> 41 [size =\"22998016\"]\n  14 -> 42 [size =\"22998016\"]\n  14 -> 43 [size =\"22998016\"]\n  15 [size=\"124289707\", alpha=\"0.19\", expect_size=\"37286912\"] \n  15 -> 31 [size =\"37286912\"]\n  15 -> 32 [size =\"37286912\"]\n  15 -> 34 [size =\"37286912\"]\n  15 -> 35 [size =\"37286912\"]\n  15 -> 36 [size =\"37286912\"]\n  15 -> 37 [size =\"37286912\"]\n  15 -> 38 [size =\"37286912\"]\n  15 -> 40 [size =\"37286912\"]\n  15 -> 41 [size =\"37286912\"]\n  15 -> 42 [size =\"37286912\"]\n  16 [size=\"146029227\", alpha=\"0.19\", expect_size=\"43808768\"] \n  16 -> 31 [size =\"43808768\"]\n  16 -> 32 [size =\"43808768\"]\n  16 -> 34 [size =\"43808768\"]\n  16 -> 35 [size =\"43808768\"]\n  16 -> 40 [size =\"43808768\"]\n  16 -> 41 [size =\"43808768\"]\n  16 -> 42 [size =\"43808768\"]\n  16 -> 43 [size =\"43808768\"]\n  16 -> 45 [size =\"43808768\"]\n  17 [size=\"122897067\", alpha=\"0.11\", expect_size=\"36869120\"] \n  17 -> 30 [size =\"36869120\"]\n  17 -> 31 [size =\"36869120\"]\n  17 -> 40 [size =\"36869120\"]\n  17 -> 41 [size =\"36869120\"]\n  17 -> 44 [size =\"36869120\"]\n  18 [size=\"35645440\", alpha=\"0.06\", expect_size=\"10693632\"] \n  18 -> 30 [size =\"10693632\"]\n  18 -> 31 [size =\"10693632\"]\n  18 -> 34 [size =\"10693632\"]\n  18 -> 39 [size =\"10693632\"]\n  18 -> 40 [size =\"10693632\"]\n  18 -> 42 [size =\"10693632\"]\n  18 -> 45 [size =\"10693632\"]\n  19 [size=\"102925653\", alpha=\"0.03\", expect_size=\"30877696\"] \n  19 -> 30 [size =\"30877696\"]\n  19 -> 40 [size =\"30877696\"]\n  19 -> 41 [size =\"30877696\"]\n  19 -> 42 [size =\"30877696\"]\n  19 -> 44 [size =\"30877696\"]\n  19 -> 45 [size =\"30877696\"]\n  19 -> 45 [size =\"30877696\"]\n  20 [size=\"99328000\", alpha=\"0.05\", expect_size=\"29798400\"] \n  20 -> 30 [size =\"29798400\"]\n  20 -> 40 [size =\"29798400\"]\n  20 -> 42 [size =\"29798400\"]\n  20 -> 43 [size =\"29798400\"]\n  21 [size=\"62467413\", alpha=\"0.10\", expect_size=\"18740224\"] \n  21 -> 31 [size =\"18740224\"]\n  21 -> 34 [size =\"18740224\"]\n  21 -> 37 [size =\"18740224\"]\n  21 -> 41 [size =\"18740224\"]\n  21 -> 42 [size =\"18740224\"]\n  21 -> 43 [size =\"18740224\"]\n  21 -> 45 [size =\"18740224\"]\n  22 [size=\"53135360\", alpha=\"0.16\", expect_size=\"15940608\"] \n  22 -> 30 [size =\"15940608\"]\n  22 -> 31 [size =\"15940608\"]\n  22 -> 32 [size =\"15940608\"]\n  22 -> 35 [size =\"15940608\"]\n  22 -> 37 [size =\"15940608\"]\n  22 -> 40 [size =\"15940608\"]\n  22 -> 41 [size =\"15940608\"]\n  22 -> 43 [size =\"15940608\"]\n  23 [size=\"64242347\", alpha=\"0.07\", expect_size=\"19272704\"] \n  23 -> 31 [size =\"19272704\"]\n  23 -> 31 [size =\"19272704\"]\n  23 -> 37 [size =\"19272704\"]\n  23 -> 41 [size =\"19272704\"]\n  23 -> 42 [size =\"19272704\"]\n  24 [size=\"113947307\", alpha=\"0.12\", expect_size=\"34184192\"] \n  24 -> 31 [size =\"34184192\"]\n  24 -> 32 [size =\"34184192\"]\n  24 -> 35 [size =\"34184192\"]\n  24 -> 37 [size =\"34184192\"]\n  24 -> 39 [size =\"34184192\"]\n  24 -> 42 [size =\"34184192\"]\n  25 [size=\"99130027\", alpha=\"0.18\", expect_size=\"29739008\"] \n  25 -> 35 [size =\"29739008\"]\n  25 -> 37 [size =\"29739008\"]\n  25 -> 40 [size =\"29739008\"]\n  25 -> 41 [size =\"29739008\"]\n  25 -> 42 [size =\"29739008\"]\n  25 -> 43 [size =\"29739008\"]\n  25 -> 45 [size =\"29739008\"]\n  26 [size=\"90357760\", alpha=\"0.02\", expect_size=\"27107328\"] \n  26 -> 31 [size =\"27107328\"]\n  26 -> 35 [size =\"27107328\"]\n  26 -> 37 [size =\"27107328\"]\n  26 -> 38 [size =\"27107328\"]\n  26 -> 40 [size =\"27107328\"]\n  26 -> 44 [size =\"27107328\"]\n  27 [size=\"86254933\", alpha=\"0.08\", expect_size=\"25876480\"] \n  27 -> 34 [size =\"25876480\"]\n  27 -> 38 [size =\"25876480\"]\n  28 [size=\"174581760\", alpha=\"0.02\", expect_size=\"52374528\"] \n  28 -> 35 [size =\"52374528\"]\n  28 -> 36 [size =\"52374528\"]\n  28 -> 39 [size =\"52374528\"]\n  28 -> 41 [size =\"52374528\"]\n  28 -> 42 [size =\"52374528\"]\n  28 -> 43 [size =\"52374528\"]\n  28 -> 45 [size =\"52374528\"]\n  29 [size=\"65232213\", alpha=\"0.01\", expect_size=\"19569664\"] \n  29 -> 31 [size =\"19569664\"]\n  29 -> 34 [size =\"19569664\"]\n  29 -> 39 [size =\"19569664\"]\n  29 -> 40 [size =\"19569664\"]\n  29 -> 43 [size =\"19569664\"]\n  29 -> 45 [size =\"19569664\"]\n  30 [size=\"85381120\", alpha=\"0.00\", expect_size=\"25614336\"] \n  31 [size=\"123566080\", alpha=\"0.12\", expect_size=\"37069824\"] \n  32 [size=\"44240213\", alpha=\"0.17\", expect_size=\"13272064\"] \n  33 [size=\"166488747\", alpha=\"0.07\", expect_size=\"49946624\"] \n  34 [size=\"66549760\", alpha=\"0.05\", expect_size=\"19964928\"] \n  35 [size=\"157648213\", alpha=\"0.17\", expect_size=\"47294464\"] \n  36 [size=\"141096960\", alpha=\"0.05\", expect_size=\"42329088\"] \n  37 [size=\"157798400\", alpha=\"0.07\", expect_size=\"47339520\"] \n  38 [size=\"60968960\", alpha=\"0.10\", expect_size=\"18290688\"] \n  39 [size=\"74437973\", alpha=\"0.05\", expect_size=\"22331392\"] \n  40 [size=\"82667520\", alpha=\"0.10\", expect_size=\"24800256\"] \n  41 [size=\"83275093\", alpha=\"0.01\", expect_size=\"24982528\"] \n  42 [size=\"22456320\", alpha=\"0.16\", expect_size=\"6736896\"] \n  43 [size=\"153354240\", alpha=\"0.17\", expect_size=\"46006272\"] \n  44 [size=\"53056853\", alpha=\"0.11\", expect_size=\"15917056\"] \n  45 [size=\"95330987\", alpha=\"0.15\", expect_size=\"28599296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77232640\", alpha=\"0.09\", expect_size=\"30893056\"] \n  1 -> 28 [size =\"30893056\"]\n  1 -> 30 [size =\"30893056\"]\n  1 -> 41 [size =\"30893056\"]\n  1 -> 45 [size =\"30893056\"]\n  2 [size=\"36103680\", alpha=\"0.16\", expect_size=\"14441472\"] \n  2 -> 28 [size =\"14441472\"]\n  2 -> 29 [size =\"14441472\"]\n  2 -> 30 [size =\"14441472\"]\n  2 -> 32 [size =\"14441472\"]\n  2 -> 33 [size =\"14441472\"]\n  2 -> 37 [size =\"14441472\"]\n  2 -> 38 [size =\"14441472\"]\n  2 -> 40 [size =\"14441472\"]\n  2 -> 42 [size =\"14441472\"]\n  3 [size=\"89492480\", alpha=\"0.20\", expect_size=\"35796992\"] \n  3 -> 28 [size =\"35796992\"]\n  3 -> 30 [size =\"35796992\"]\n  3 -> 34 [size =\"35796992\"]\n  3 -> 36 [size =\"35796992\"]\n  3 -> 37 [size =\"35796992\"]\n  4 [size=\"104906240\", alpha=\"0.09\", expect_size=\"41962496\"] \n  4 -> 28 [size =\"41962496\"]\n  4 -> 33 [size =\"41962496\"]\n  4 -> 37 [size =\"41962496\"]\n  4 -> 44 [size =\"41962496\"]\n  5 [size=\"82647040\", alpha=\"0.15\", expect_size=\"33058816\"] \n  5 -> 30 [size =\"33058816\"]\n  5 -> 34 [size =\"33058816\"]\n  5 -> 36 [size =\"33058816\"]\n  5 -> 39 [size =\"33058816\"]\n  5 -> 40 [size =\"33058816\"]\n  6 [size=\"14927360\", alpha=\"0.15\", expect_size=\"5970944\"] \n  6 -> 30 [size =\"5970944\"]\n  6 -> 33 [size =\"5970944\"]\n  6 -> 36 [size =\"5970944\"]\n  6 -> 39 [size =\"5970944\"]\n  6 -> 40 [size =\"5970944\"]\n  6 -> 41 [size =\"5970944\"]\n  6 -> 42 [size =\"5970944\"]\n  7 [size=\"100648960\", alpha=\"0.07\", expect_size=\"40259584\"] \n  7 -> 28 [size =\"40259584\"]\n  7 -> 29 [size =\"40259584\"]\n  7 -> 33 [size =\"40259584\"]\n  7 -> 35 [size =\"40259584\"]\n  7 -> 36 [size =\"40259584\"]\n  7 -> 39 [size =\"40259584\"]\n  7 -> 40 [size =\"40259584\"]\n  8 [size=\"84336640\", alpha=\"0.04\", expect_size=\"33734656\"] \n  8 -> 30 [size =\"33734656\"]\n  8 -> 33 [size =\"33734656\"]\n  8 -> 34 [size =\"33734656\"]\n  8 -> 41 [size =\"33734656\"]\n  9 [size=\"118443520\", alpha=\"0.05\", expect_size=\"47377408\"] \n  9 -> 32 [size =\"47377408\"]\n  9 -> 33 [size =\"47377408\"]\n  9 -> 34 [size =\"47377408\"]\n  9 -> 36 [size =\"47377408\"]\n  9 -> 40 [size =\"47377408\"]\n  9 -> 42 [size =\"47377408\"]\n  10 [size=\"89807360\", alpha=\"0.07\", expect_size=\"35922944\"] \n  10 -> 30 [size =\"35922944\"]\n  10 -> 31 [size =\"35922944\"]\n  10 -> 33 [size =\"35922944\"]\n  10 -> 34 [size =\"35922944\"]\n  10 -> 36 [size =\"35922944\"]\n  10 -> 40 [size =\"35922944\"]\n  10 -> 42 [size =\"35922944\"]\n  11 [size=\"34426880\", alpha=\"0.06\", expect_size=\"13770752\"] \n  11 -> 31 [size =\"13770752\"]\n  11 -> 36 [size =\"13770752\"]\n  11 -> 40 [size =\"13770752\"]\n  11 -> 42 [size =\"13770752\"]\n  12 [size=\"88929280\", alpha=\"0.04\", expect_size=\"35571712\"] \n  12 -> 32 [size =\"35571712\"]\n  12 -> 34 [size =\"35571712\"]\n  12 -> 36 [size =\"35571712\"]\n  12 -> 42 [size =\"35571712\"]\n  12 -> 43 [size =\"35571712\"]\n  13 [size=\"65684480\", alpha=\"0.14\", expect_size=\"26273792\"] \n  13 -> 28 [size =\"26273792\"]\n  13 -> 30 [size =\"26273792\"]\n  13 -> 32 [size =\"26273792\"]\n  13 -> 33 [size =\"26273792\"]\n  13 -> 36 [size =\"26273792\"]\n  13 -> 42 [size =\"26273792\"]\n  14 [size=\"64990720\", alpha=\"0.06\", expect_size=\"25996288\"] \n  14 -> 28 [size =\"25996288\"]\n  14 -> 30 [size =\"25996288\"]\n  14 -> 32 [size =\"25996288\"]\n  14 -> 36 [size =\"25996288\"]\n  14 -> 42 [size =\"25996288\"]\n  15 [size=\"116736000\", alpha=\"0.07\", expect_size=\"46694400\"] \n  15 -> 28 [size =\"46694400\"]\n  15 -> 32 [size =\"46694400\"]\n  15 -> 43 [size =\"46694400\"]\n  16 [size=\"88816640\", alpha=\"0.05\", expect_size=\"35526656\"] \n  16 -> 30 [size =\"35526656\"]\n  16 -> 32 [size =\"35526656\"]\n  16 -> 34 [size =\"35526656\"]\n  17 [size=\"58270720\", alpha=\"0.05\", expect_size=\"23308288\"] \n  17 -> 32 [size =\"23308288\"]\n  17 -> 33 [size =\"23308288\"]\n  17 -> 37 [size =\"23308288\"]\n  18 [size=\"101309440\", alpha=\"0.03\", expect_size=\"40523776\"] \n  18 -> 32 [size =\"40523776\"]\n  19 [size=\"126036480\", alpha=\"0.10\", expect_size=\"50414592\"] \n  19 -> 31 [size =\"50414592\"]\n  19 -> 33 [size =\"50414592\"]\n  19 -> 40 [size =\"50414592\"]\n  19 -> 41 [size =\"50414592\"]\n  20 [size=\"35640320\", alpha=\"0.10\", expect_size=\"14256128\"] \n  20 -> 40 [size =\"14256128\"]\n  20 -> 42 [size =\"14256128\"]\n  21 [size=\"76029440\", alpha=\"0.01\", expect_size=\"30411776\"] \n  21 -> 30 [size =\"30411776\"]\n  21 -> 32 [size =\"30411776\"]\n  21 -> 34 [size =\"30411776\"]\n  21 -> 40 [size =\"30411776\"]\n  22 [size=\"111741440\", alpha=\"0.16\", expect_size=\"44696576\"] \n  22 -> 28 [size =\"44696576\"]\n  22 -> 31 [size =\"44696576\"]\n  22 -> 32 [size =\"44696576\"]\n  22 -> 41 [size =\"44696576\"]\n  22 -> 42 [size =\"44696576\"]\n  23 [size=\"19399680\", alpha=\"0.04\", expect_size=\"7759872\"] \n  23 -> 31 [size =\"7759872\"]\n  23 -> 33 [size =\"7759872\"]\n  24 [size=\"104765440\", alpha=\"0.07\", expect_size=\"41906176\"] \n  24 -> 29 [size =\"41906176\"]\n  24 -> 32 [size =\"41906176\"]\n  24 -> 36 [size =\"41906176\"]\n  24 -> 37 [size =\"41906176\"]\n  24 -> 40 [size =\"41906176\"]\n  24 -> 42 [size =\"41906176\"]\n  25 [size=\"20328960\", alpha=\"0.03\", expect_size=\"8131584\"] \n  25 -> 30 [size =\"8131584\"]\n  25 -> 37 [size =\"8131584\"]\n  25 -> 40 [size =\"8131584\"]\n  25 -> 42 [size =\"8131584\"]\n  25 -> 45 [size =\"8131584\"]\n  26 [size=\"59886080\", alpha=\"0.18\", expect_size=\"23954432\"] \n  26 -> 28 [size =\"23954432\"]\n  26 -> 29 [size =\"23954432\"]\n  26 -> 34 [size =\"23954432\"]\n  27 [size=\"90065920\", alpha=\"0.09\", expect_size=\"36026368\"] \n  27 -> 28 [size =\"36026368\"]\n  27 -> 31 [size =\"36026368\"]\n  27 -> 33 [size =\"36026368\"]\n  27 -> 36 [size =\"36026368\"]\n  27 -> 42 [size =\"36026368\"]\n  28 [size=\"117803520\", alpha=\"0.11\", expect_size=\"47121408\"] \n  29 [size=\"15393280\", alpha=\"0.11\", expect_size=\"6157312\"] \n  30 [size=\"72752640\", alpha=\"0.05\", expect_size=\"29101056\"] \n  31 [size=\"13235200\", alpha=\"0.02\", expect_size=\"5294080\"] \n  32 [size=\"18926080\", alpha=\"0.12\", expect_size=\"7570432\"] \n  33 [size=\"112824320\", alpha=\"0.10\", expect_size=\"45129728\"] \n  34 [size=\"17420800\", alpha=\"0.18\", expect_size=\"6968320\"] \n  35 [size=\"60446720\", alpha=\"0.03\", expect_size=\"24178688\"] \n  36 [size=\"75512320\", alpha=\"0.01\", expect_size=\"30204928\"] \n  37 [size=\"64442880\", alpha=\"0.06\", expect_size=\"25777152\"] \n  38 [size=\"114775040\", alpha=\"0.07\", expect_size=\"45910016\"] \n  39 [size=\"61811200\", alpha=\"0.07\", expect_size=\"24724480\"] \n  40 [size=\"128852480\", alpha=\"0.10\", expect_size=\"51540992\"] \n  41 [size=\"38707200\", alpha=\"0.04\", expect_size=\"15482880\"] \n  42 [size=\"48622080\", alpha=\"0.15\", expect_size=\"19448832\"] \n  43 [size=\"116464640\", alpha=\"0.07\", expect_size=\"46585856\"] \n  44 [size=\"58874880\", alpha=\"0.15\", expect_size=\"23549952\"] \n  45 [size=\"45708800\", alpha=\"0.03\", expect_size=\"18283520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99471360\", alpha=\"0.18\", expect_size=\"29841408\"] \n  1 -> 2 [size =\"29841408\"]\n  2 [size=\"21992107\", alpha=\"0.19\", expect_size=\"6597632\"] \n  2 -> 3 [size =\"6597632\"]\n  3 [size=\"56282453\", alpha=\"0.06\", expect_size=\"16884736\"] \n  3 -> 4 [size =\"16884736\"]\n  4 [size=\"151927467\", alpha=\"0.04\", expect_size=\"45578240\"] \n  4 -> 5 [size =\"45578240\"]\n  5 [size=\"109909333\", alpha=\"0.07\", expect_size=\"32972800\"] \n  5 -> 6 [size =\"32972800\"]\n  6 [size=\"135348907\", alpha=\"0.05\", expect_size=\"40604672\"] \n  6 -> 7 [size =\"40604672\"]\n  7 [size=\"106707627\", alpha=\"0.09\", expect_size=\"32012288\"] \n  7 -> 8 [size =\"32012288\"]\n  8 [size=\"100096000\", alpha=\"0.02\", expect_size=\"30028800\"] \n  8 -> 9 [size =\"30028800\"]\n  9 [size=\"101031253\", alpha=\"0.09\", expect_size=\"30309376\"] \n  9 -> 10 [size =\"30309376\"]\n  10 [size=\"158078293\", alpha=\"0.20\", expect_size=\"47423488\"] \n  10 -> 11 [size =\"47423488\"]\n  11 [size=\"162539520\", alpha=\"0.01\", expect_size=\"48761856\"] \n  11 -> 12 [size =\"48761856\"]\n  12 [size=\"144803840\", alpha=\"0.03\", expect_size=\"43441152\"] \n  12 -> 13 [size =\"43441152\"]\n  13 [size=\"136867840\", alpha=\"0.09\", expect_size=\"41060352\"] \n  13 -> 14 [size =\"41060352\"]\n  14 [size=\"23330133\", alpha=\"0.03\", expect_size=\"6999040\"] \n  14 -> 15 [size =\"6999040\"]\n  15 [size=\"53968213\", alpha=\"0.09\", expect_size=\"16190464\"] \n  15 -> 16 [size =\"16190464\"]\n  16 [size=\"110834347\", alpha=\"0.13\", expect_size=\"33250304\"] \n  16 -> 17 [size =\"33250304\"]\n  17 [size=\"150657707\", alpha=\"0.01\", expect_size=\"45197312\"] \n  17 -> 18 [size =\"45197312\"]\n  18 [size=\"64727040\", alpha=\"0.13\", expect_size=\"19418112\"] \n  18 -> 19 [size =\"19418112\"]\n  19 [size=\"82571947\", alpha=\"0.13\", expect_size=\"24771584\"] \n  19 -> 20 [size =\"24771584\"]\n  20 [size=\"156938240\", alpha=\"0.12\", expect_size=\"47081472\"] \n  20 -> 21 [size =\"47081472\"]\n  21 [size=\"156658347\", alpha=\"0.02\", expect_size=\"46997504\"] \n  21 -> 22 [size =\"46997504\"]\n  22 [size=\"160993280\", alpha=\"0.12\", expect_size=\"48297984\"] \n  22 -> 23 [size =\"48297984\"]\n  23 [size=\"27245227\", alpha=\"0.07\", expect_size=\"8173568\"] \n  23 -> 24 [size =\"8173568\"]\n  24 [size=\"98293760\", alpha=\"0.19\", expect_size=\"29488128\"] \n  24 -> 25 [size =\"29488128\"]\n  25 [size=\"122535253\", alpha=\"0.03\", expect_size=\"36760576\"] \n  25 -> 26 [size =\"36760576\"]\n  26 [size=\"34553173\", alpha=\"0.02\", expect_size=\"10365952\"] \n  26 -> 27 [size =\"10365952\"]\n  27 [size=\"137181867\", alpha=\"0.12\", expect_size=\"41154560\"] \n  27 -> 28 [size =\"41154560\"]\n  28 [size=\"145592320\", alpha=\"0.13\", expect_size=\"43677696\"] \n  28 -> 29 [size =\"43677696\"]\n  29 [size=\"92153173\", alpha=\"0.04\", expect_size=\"27645952\"] \n  29 -> 30 [size =\"27645952\"]\n  30 [size=\"36382720\", alpha=\"0.13\", expect_size=\"10914816\"] \n  30 -> 31 [size =\"10914816\"]\n  31 [size=\"130955947\", alpha=\"0.01\", expect_size=\"39286784\"] \n  31 -> 32 [size =\"39286784\"]\n  32 [size=\"143305387\", alpha=\"0.05\", expect_size=\"42991616\"] \n  32 -> 33 [size =\"42991616\"]\n  33 [size=\"77943467\", alpha=\"0.04\", expect_size=\"23383040\"] \n  33 -> 34 [size =\"23383040\"]\n  34 [size=\"130969600\", alpha=\"0.04\", expect_size=\"39290880\"] \n  34 -> 35 [size =\"39290880\"]\n  35 [size=\"122255360\", alpha=\"0.08\", expect_size=\"36676608\"] \n  35 -> 36 [size =\"36676608\"]\n  36 [size=\"144247467\", alpha=\"0.05\", expect_size=\"43274240\"] \n  36 -> 37 [size =\"43274240\"]\n  37 [size=\"157521920\", alpha=\"0.18\", expect_size=\"47256576\"] \n  37 -> 38 [size =\"47256576\"]\n  38 [size=\"94033920\", alpha=\"0.17\", expect_size=\"28210176\"] \n  38 -> 39 [size =\"28210176\"]\n  39 [size=\"36403200\", alpha=\"0.05\", expect_size=\"10920960\"] \n  39 -> 40 [size =\"10920960\"]\n  40 [size=\"68184747\", alpha=\"0.10\", expect_size=\"20455424\"] \n  40 -> 41 [size =\"20455424\"]\n  41 [size=\"172694187\", alpha=\"0.13\", expect_size=\"51808256\"] \n  41 -> 42 [size =\"51808256\"]\n  42 [size=\"23145813\", alpha=\"0.14\", expect_size=\"6943744\"] \n  42 -> 43 [size =\"6943744\"]\n  43 [size=\"61436587\", alpha=\"0.17\", expect_size=\"18430976\"] \n  43 -> 44 [size =\"18430976\"]\n  44 [size=\"92388693\", alpha=\"0.09\", expect_size=\"27716608\"] \n  44 -> 45 [size =\"27716608\"]\n  45 [size=\"121859413\", alpha=\"0.15\", expect_size=\"36557824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24348672\", alpha=\"0.07\", expect_size=\"12174336\"] \n  1 -> 29 [size =\"12174336\"]\n  1 -> 30 [size =\"12174336\"]\n  1 -> 32 [size =\"12174336\"]\n  1 -> 33 [size =\"12174336\"]\n  1 -> 37 [size =\"12174336\"]\n  1 -> 37 [size =\"12174336\"]\n  2 [size=\"23144448\", alpha=\"0.08\", expect_size=\"11572224\"] \n  2 -> 32 [size =\"11572224\"]\n  2 -> 33 [size =\"11572224\"]\n  2 -> 35 [size =\"11572224\"]\n  2 -> 41 [size =\"11572224\"]\n  2 -> 42 [size =\"11572224\"]\n  3 [size=\"81782784\", alpha=\"0.10\", expect_size=\"40891392\"] \n  3 -> 33 [size =\"40891392\"]\n  3 -> 34 [size =\"40891392\"]\n  3 -> 35 [size =\"40891392\"]\n  3 -> 37 [size =\"40891392\"]\n  3 -> 39 [size =\"40891392\"]\n  3 -> 40 [size =\"40891392\"]\n  3 -> 45 [size =\"40891392\"]\n  4 [size=\"66947072\", alpha=\"0.01\", expect_size=\"33473536\"] \n  4 -> 29 [size =\"33473536\"]\n  4 -> 30 [size =\"33473536\"]\n  4 -> 31 [size =\"33473536\"]\n  4 -> 39 [size =\"33473536\"]\n  4 -> 39 [size =\"33473536\"]\n  4 -> 43 [size =\"33473536\"]\n  4 -> 45 [size =\"33473536\"]\n  5 [size=\"16922624\", alpha=\"0.12\", expect_size=\"8461312\"] \n  5 -> 30 [size =\"8461312\"]\n  5 -> 34 [size =\"8461312\"]\n  5 -> 36 [size =\"8461312\"]\n  5 -> 37 [size =\"8461312\"]\n  5 -> 41 [size =\"8461312\"]\n  5 -> 43 [size =\"8461312\"]\n  5 -> 45 [size =\"8461312\"]\n  6 [size=\"14118912\", alpha=\"0.11\", expect_size=\"7059456\"] \n  6 -> 29 [size =\"7059456\"]\n  6 -> 30 [size =\"7059456\"]\n  6 -> 36 [size =\"7059456\"]\n  6 -> 39 [size =\"7059456\"]\n  6 -> 41 [size =\"7059456\"]\n  6 -> 43 [size =\"7059456\"]\n  7 [size=\"93550592\", alpha=\"0.05\", expect_size=\"46775296\"] \n  7 -> 29 [size =\"46775296\"]\n  7 -> 31 [size =\"46775296\"]\n  7 -> 35 [size =\"46775296\"]\n  7 -> 36 [size =\"46775296\"]\n  7 -> 37 [size =\"46775296\"]\n  7 -> 39 [size =\"46775296\"]\n  7 -> 40 [size =\"46775296\"]\n  7 -> 41 [size =\"46775296\"]\n  7 -> 43 [size =\"46775296\"]\n  8 [size=\"42389504\", alpha=\"0.13\", expect_size=\"21194752\"] \n  8 -> 31 [size =\"21194752\"]\n  8 -> 32 [size =\"21194752\"]\n  8 -> 36 [size =\"21194752\"]\n  8 -> 36 [size =\"21194752\"]\n  8 -> 37 [size =\"21194752\"]\n  8 -> 38 [size =\"21194752\"]\n  8 -> 43 [size =\"21194752\"]\n  9 [size=\"39069696\", alpha=\"0.08\", expect_size=\"19534848\"] \n  9 -> 29 [size =\"19534848\"]\n  9 -> 30 [size =\"19534848\"]\n  9 -> 32 [size =\"19534848\"]\n  9 -> 33 [size =\"19534848\"]\n  9 -> 35 [size =\"19534848\"]\n  9 -> 36 [size =\"19534848\"]\n  9 -> 38 [size =\"19534848\"]\n  9 -> 40 [size =\"19534848\"]\n  9 -> 41 [size =\"19534848\"]\n  9 -> 43 [size =\"19534848\"]\n  10 [size=\"35624960\", alpha=\"0.15\", expect_size=\"17812480\"] \n  10 -> 29 [size =\"17812480\"]\n  10 -> 30 [size =\"17812480\"]\n  10 -> 31 [size =\"17812480\"]\n  10 -> 32 [size =\"17812480\"]\n  10 -> 33 [size =\"17812480\"]\n  10 -> 35 [size =\"17812480\"]\n  10 -> 36 [size =\"17812480\"]\n  10 -> 37 [size =\"17812480\"]\n  10 -> 43 [size =\"17812480\"]\n  10 -> 45 [size =\"17812480\"]\n  11 [size=\"21893120\", alpha=\"0.07\", expect_size=\"10946560\"] \n  11 -> 29 [size =\"10946560\"]\n  11 -> 32 [size =\"10946560\"]\n  11 -> 33 [size =\"10946560\"]\n  11 -> 34 [size =\"10946560\"]\n  11 -> 35 [size =\"10946560\"]\n  11 -> 35 [size =\"10946560\"]\n  11 -> 37 [size =\"10946560\"]\n  11 -> 45 [size =\"10946560\"]\n  12 [size=\"52803584\", alpha=\"0.09\", expect_size=\"26401792\"] \n  12 -> 32 [size =\"26401792\"]\n  12 -> 32 [size =\"26401792\"]\n  12 -> 33 [size =\"26401792\"]\n  12 -> 42 [size =\"26401792\"]\n  12 -> 43 [size =\"26401792\"]\n  12 -> 45 [size =\"26401792\"]\n  13 [size=\"89612288\", alpha=\"0.03\", expect_size=\"44806144\"] \n  13 -> 29 [size =\"44806144\"]\n  13 -> 32 [size =\"44806144\"]\n  13 -> 33 [size =\"44806144\"]\n  13 -> 39 [size =\"44806144\"]\n  13 -> 41 [size =\"44806144\"]\n  14 [size=\"43335680\", alpha=\"0.10\", expect_size=\"21667840\"] \n  14 -> 29 [size =\"21667840\"]\n  14 -> 33 [size =\"21667840\"]\n  14 -> 33 [size =\"21667840\"]\n  14 -> 35 [size =\"21667840\"]\n  14 -> 41 [size =\"21667840\"]\n  15 [size=\"46952448\", alpha=\"0.19\", expect_size=\"23476224\"] \n  15 -> 29 [size =\"23476224\"]\n  15 -> 30 [size =\"23476224\"]\n  15 -> 32 [size =\"23476224\"]\n  15 -> 33 [size =\"23476224\"]\n  15 -> 34 [size =\"23476224\"]\n  15 -> 41 [size =\"23476224\"]\n  15 -> 43 [size =\"23476224\"]\n  16 [size=\"11290624\", alpha=\"0.06\", expect_size=\"5645312\"] \n  16 -> 29 [size =\"5645312\"]\n  16 -> 30 [size =\"5645312\"]\n  16 -> 33 [size =\"5645312\"]\n  16 -> 33 [size =\"5645312\"]\n  16 -> 35 [size =\"5645312\"]\n  16 -> 39 [size =\"5645312\"]\n  16 -> 43 [size =\"5645312\"]\n  16 -> 45 [size =\"5645312\"]\n  17 [size=\"64110592\", alpha=\"0.07\", expect_size=\"32055296\"] \n  17 -> 29 [size =\"32055296\"]\n  17 -> 33 [size =\"32055296\"]\n  17 -> 36 [size =\"32055296\"]\n  17 -> 38 [size =\"32055296\"]\n  17 -> 41 [size =\"32055296\"]\n  17 -> 42 [size =\"32055296\"]\n  17 -> 43 [size =\"32055296\"]\n  17 -> 45 [size =\"32055296\"]\n  18 [size=\"89098240\", alpha=\"0.14\", expect_size=\"44549120\"] \n  18 -> 31 [size =\"44549120\"]\n  18 -> 32 [size =\"44549120\"]\n  18 -> 33 [size =\"44549120\"]\n  18 -> 36 [size =\"44549120\"]\n  18 -> 41 [size =\"44549120\"]\n  18 -> 42 [size =\"44549120\"]\n  18 -> 44 [size =\"44549120\"]\n  18 -> 45 [size =\"44549120\"]\n  19 [size=\"57176064\", alpha=\"0.19\", expect_size=\"28588032\"] \n  19 -> 31 [size =\"28588032\"]\n  19 -> 35 [size =\"28588032\"]\n  19 -> 39 [size =\"28588032\"]\n  19 -> 41 [size =\"28588032\"]\n  19 -> 42 [size =\"28588032\"]\n  19 -> 42 [size =\"28588032\"]\n  19 -> 44 [size =\"28588032\"]\n  19 -> 45 [size =\"28588032\"]\n  20 [size=\"95995904\", alpha=\"0.14\", expect_size=\"47997952\"] \n  20 -> 29 [size =\"47997952\"]\n  20 -> 31 [size =\"47997952\"]\n  20 -> 33 [size =\"47997952\"]\n  20 -> 36 [size =\"47997952\"]\n  20 -> 37 [size =\"47997952\"]\n  20 -> 40 [size =\"47997952\"]\n  20 -> 42 [size =\"47997952\"]\n  20 -> 45 [size =\"47997952\"]\n  21 [size=\"71051264\", alpha=\"0.11\", expect_size=\"35525632\"] \n  21 -> 29 [size =\"35525632\"]\n  21 -> 31 [size =\"35525632\"]\n  21 -> 32 [size =\"35525632\"]\n  21 -> 36 [size =\"35525632\"]\n  21 -> 37 [size =\"35525632\"]\n  21 -> 40 [size =\"35525632\"]\n  21 -> 41 [size =\"35525632\"]\n  21 -> 42 [size =\"35525632\"]\n  21 -> 45 [size =\"35525632\"]\n  22 [size=\"102658048\", alpha=\"0.12\", expect_size=\"51329024\"] \n  22 -> 29 [size =\"51329024\"]\n  22 -> 30 [size =\"51329024\"]\n  22 -> 31 [size =\"51329024\"]\n  22 -> 32 [size =\"51329024\"]\n  22 -> 34 [size =\"51329024\"]\n  22 -> 41 [size =\"51329024\"]\n  22 -> 43 [size =\"51329024\"]\n  23 [size=\"52627456\", alpha=\"0.07\", expect_size=\"26313728\"] \n  23 -> 31 [size =\"26313728\"]\n  23 -> 32 [size =\"26313728\"]\n  23 -> 35 [size =\"26313728\"]\n  23 -> 43 [size =\"26313728\"]\n  23 -> 45 [size =\"26313728\"]\n  24 [size=\"66191360\", alpha=\"0.14\", expect_size=\"33095680\"] \n  24 -> 29 [size =\"33095680\"]\n  24 -> 32 [size =\"33095680\"]\n  24 -> 34 [size =\"33095680\"]\n  24 -> 35 [size =\"33095680\"]\n  24 -> 39 [size =\"33095680\"]\n  24 -> 40 [size =\"33095680\"]\n  24 -> 41 [size =\"33095680\"]\n  24 -> 43 [size =\"33095680\"]\n  24 -> 45 [size =\"33095680\"]\n  25 [size=\"19447808\", alpha=\"0.03\", expect_size=\"9723904\"] \n  25 -> 32 [size =\"9723904\"]\n  25 -> 34 [size =\"9723904\"]\n  25 -> 35 [size =\"9723904\"]\n  25 -> 39 [size =\"9723904\"]\n  25 -> 39 [size =\"9723904\"]\n  25 -> 41 [size =\"9723904\"]\n  25 -> 41 [size =\"9723904\"]\n  25 -> 43 [size =\"9723904\"]\n  25 -> 45 [size =\"9723904\"]\n  26 [size=\"16830464\", alpha=\"0.13\", expect_size=\"8415232\"] \n  26 -> 30 [size =\"8415232\"]\n  26 -> 31 [size =\"8415232\"]\n  26 -> 32 [size =\"8415232\"]\n  26 -> 34 [size =\"8415232\"]\n  26 -> 35 [size =\"8415232\"]\n  26 -> 37 [size =\"8415232\"]\n  26 -> 39 [size =\"8415232\"]\n  26 -> 41 [size =\"8415232\"]\n  26 -> 43 [size =\"8415232\"]\n  26 -> 45 [size =\"8415232\"]\n  27 [size=\"42866688\", alpha=\"0.20\", expect_size=\"21433344\"] \n  27 -> 29 [size =\"21433344\"]\n  27 -> 30 [size =\"21433344\"]\n  27 -> 32 [size =\"21433344\"]\n  27 -> 37 [size =\"21433344\"]\n  27 -> 39 [size =\"21433344\"]\n  27 -> 41 [size =\"21433344\"]\n  27 -> 43 [size =\"21433344\"]\n  27 -> 45 [size =\"21433344\"]\n  28 [size=\"76806144\", alpha=\"0.14\", expect_size=\"38403072\"] \n  28 -> 29 [size =\"38403072\"]\n  28 -> 30 [size =\"38403072\"]\n  28 -> 33 [size =\"38403072\"]\n  28 -> 34 [size =\"38403072\"]\n  28 -> 36 [size =\"38403072\"]\n  28 -> 37 [size =\"38403072\"]\n  28 -> 41 [size =\"38403072\"]\n  28 -> 42 [size =\"38403072\"]\n  28 -> 43 [size =\"38403072\"]\n  28 -> 44 [size =\"38403072\"]\n  28 -> 45 [size =\"38403072\"]\n  29 [size=\"49491968\", alpha=\"0.13\", expect_size=\"24745984\"] \n  30 [size=\"44756992\", alpha=\"0.19\", expect_size=\"22378496\"] \n  31 [size=\"14876672\", alpha=\"0.06\", expect_size=\"7438336\"] \n  32 [size=\"68087808\", alpha=\"0.03\", expect_size=\"34043904\"] \n  33 [size=\"28307456\", alpha=\"0.16\", expect_size=\"14153728\"] \n  34 [size=\"61204480\", alpha=\"0.17\", expect_size=\"30602240\"] \n  35 [size=\"34500608\", alpha=\"0.05\", expect_size=\"17250304\"] \n  36 [size=\"49002496\", alpha=\"0.13\", expect_size=\"24501248\"] \n  37 [size=\"13975552\", alpha=\"0.13\", expect_size=\"6987776\"] \n  38 [size=\"12484608\", alpha=\"0.09\", expect_size=\"6242304\"] \n  39 [size=\"76435456\", alpha=\"0.15\", expect_size=\"38217728\"] \n  40 [size=\"45668352\", alpha=\"0.20\", expect_size=\"22834176\"] \n  41 [size=\"39694336\", alpha=\"0.17\", expect_size=\"19847168\"] \n  42 [size=\"69924864\", alpha=\"0.13\", expect_size=\"34962432\"] \n  43 [size=\"84303872\", alpha=\"0.19\", expect_size=\"42151936\"] \n  44 [size=\"67588096\", alpha=\"0.17\", expect_size=\"33794048\"] \n  45 [size=\"52627456\", alpha=\"0.16\", expect_size=\"26313728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42401280\", alpha=\"0.14\", expect_size=\"16960512\"] \n  1 -> 30 [size =\"16960512\"]\n  1 -> 32 [size =\"16960512\"]\n  1 -> 34 [size =\"16960512\"]\n  1 -> 35 [size =\"16960512\"]\n  1 -> 36 [size =\"16960512\"]\n  1 -> 36 [size =\"16960512\"]\n  1 -> 39 [size =\"16960512\"]\n  1 -> 40 [size =\"16960512\"]\n  1 -> 41 [size =\"16960512\"]\n  1 -> 45 [size =\"16960512\"]\n  2 [size=\"80488960\", alpha=\"0.10\", expect_size=\"32195584\"] \n  2 -> 28 [size =\"32195584\"]\n  2 -> 29 [size =\"32195584\"]\n  2 -> 31 [size =\"32195584\"]\n  2 -> 36 [size =\"32195584\"]\n  2 -> 37 [size =\"32195584\"]\n  2 -> 38 [size =\"32195584\"]\n  2 -> 39 [size =\"32195584\"]\n  2 -> 40 [size =\"32195584\"]\n  2 -> 43 [size =\"32195584\"]\n  3 [size=\"55697920\", alpha=\"0.00\", expect_size=\"22279168\"] \n  3 -> 31 [size =\"22279168\"]\n  3 -> 32 [size =\"22279168\"]\n  3 -> 33 [size =\"22279168\"]\n  3 -> 35 [size =\"22279168\"]\n  3 -> 36 [size =\"22279168\"]\n  3 -> 44 [size =\"22279168\"]\n  4 [size=\"121121280\", alpha=\"0.13\", expect_size=\"48448512\"] \n  4 -> 31 [size =\"48448512\"]\n  4 -> 32 [size =\"48448512\"]\n  4 -> 38 [size =\"48448512\"]\n  4 -> 40 [size =\"48448512\"]\n  4 -> 41 [size =\"48448512\"]\n  4 -> 45 [size =\"48448512\"]\n  5 [size=\"18273280\", alpha=\"0.20\", expect_size=\"7309312\"] \n  5 -> 30 [size =\"7309312\"]\n  5 -> 31 [size =\"7309312\"]\n  5 -> 34 [size =\"7309312\"]\n  5 -> 36 [size =\"7309312\"]\n  5 -> 38 [size =\"7309312\"]\n  5 -> 39 [size =\"7309312\"]\n  5 -> 40 [size =\"7309312\"]\n  5 -> 45 [size =\"7309312\"]\n  6 [size=\"78927360\", alpha=\"0.17\", expect_size=\"31570944\"] \n  6 -> 31 [size =\"31570944\"]\n  6 -> 32 [size =\"31570944\"]\n  6 -> 35 [size =\"31570944\"]\n  6 -> 36 [size =\"31570944\"]\n  6 -> 38 [size =\"31570944\"]\n  6 -> 40 [size =\"31570944\"]\n  6 -> 45 [size =\"31570944\"]\n  7 [size=\"73758720\", alpha=\"0.03\", expect_size=\"29503488\"] \n  7 -> 30 [size =\"29503488\"]\n  7 -> 31 [size =\"29503488\"]\n  7 -> 37 [size =\"29503488\"]\n  7 -> 38 [size =\"29503488\"]\n  7 -> 45 [size =\"29503488\"]\n  8 [size=\"21068800\", alpha=\"0.02\", expect_size=\"8427520\"] \n  8 -> 30 [size =\"8427520\"]\n  8 -> 31 [size =\"8427520\"]\n  8 -> 35 [size =\"8427520\"]\n  8 -> 36 [size =\"8427520\"]\n  8 -> 41 [size =\"8427520\"]\n  8 -> 45 [size =\"8427520\"]\n  9 [size=\"37542400\", alpha=\"0.02\", expect_size=\"15016960\"] \n  9 -> 30 [size =\"15016960\"]\n  9 -> 31 [size =\"15016960\"]\n  9 -> 35 [size =\"15016960\"]\n  9 -> 38 [size =\"15016960\"]\n  9 -> 39 [size =\"15016960\"]\n  9 -> 40 [size =\"15016960\"]\n  9 -> 45 [size =\"15016960\"]\n  10 [size=\"116426240\", alpha=\"0.02\", expect_size=\"46570496\"] \n  10 -> 31 [size =\"46570496\"]\n  10 -> 32 [size =\"46570496\"]\n  10 -> 33 [size =\"46570496\"]\n  10 -> 36 [size =\"46570496\"]\n  10 -> 38 [size =\"46570496\"]\n  10 -> 39 [size =\"46570496\"]\n  10 -> 45 [size =\"46570496\"]\n  11 [size=\"78336000\", alpha=\"0.07\", expect_size=\"31334400\"] \n  11 -> 34 [size =\"31334400\"]\n  11 -> 36 [size =\"31334400\"]\n  11 -> 40 [size =\"31334400\"]\n  11 -> 45 [size =\"31334400\"]\n  12 [size=\"41927680\", alpha=\"0.14\", expect_size=\"16771072\"] \n  12 -> 28 [size =\"16771072\"]\n  12 -> 31 [size =\"16771072\"]\n  12 -> 33 [size =\"16771072\"]\n  12 -> 35 [size =\"16771072\"]\n  12 -> 36 [size =\"16771072\"]\n  12 -> 45 [size =\"16771072\"]\n  13 [size=\"97960960\", alpha=\"0.01\", expect_size=\"39184384\"] \n  13 -> 28 [size =\"39184384\"]\n  13 -> 33 [size =\"39184384\"]\n  13 -> 36 [size =\"39184384\"]\n  13 -> 38 [size =\"39184384\"]\n  13 -> 39 [size =\"39184384\"]\n  13 -> 40 [size =\"39184384\"]\n  13 -> 45 [size =\"39184384\"]\n  14 [size=\"100615680\", alpha=\"0.14\", expect_size=\"40246272\"] \n  14 -> 28 [size =\"40246272\"]\n  14 -> 33 [size =\"40246272\"]\n  14 -> 34 [size =\"40246272\"]\n  14 -> 35 [size =\"40246272\"]\n  14 -> 39 [size =\"40246272\"]\n  14 -> 40 [size =\"40246272\"]\n  14 -> 41 [size =\"40246272\"]\n  14 -> 45 [size =\"40246272\"]\n  15 [size=\"57505280\", alpha=\"0.11\", expect_size=\"23002112\"] \n  15 -> 28 [size =\"23002112\"]\n  15 -> 30 [size =\"23002112\"]\n  15 -> 32 [size =\"23002112\"]\n  15 -> 34 [size =\"23002112\"]\n  15 -> 35 [size =\"23002112\"]\n  15 -> 39 [size =\"23002112\"]\n  15 -> 41 [size =\"23002112\"]\n  15 -> 43 [size =\"23002112\"]\n  15 -> 45 [size =\"23002112\"]\n  16 [size=\"54745600\", alpha=\"0.05\", expect_size=\"21898240\"] \n  16 -> 28 [size =\"21898240\"]\n  16 -> 35 [size =\"21898240\"]\n  16 -> 36 [size =\"21898240\"]\n  16 -> 39 [size =\"21898240\"]\n  16 -> 45 [size =\"21898240\"]\n  17 [size=\"39759360\", alpha=\"0.09\", expect_size=\"15903744\"] \n  17 -> 32 [size =\"15903744\"]\n  17 -> 33 [size =\"15903744\"]\n  17 -> 36 [size =\"15903744\"]\n  17 -> 39 [size =\"15903744\"]\n  17 -> 42 [size =\"15903744\"]\n  17 -> 45 [size =\"15903744\"]\n  18 [size=\"58385920\", alpha=\"0.15\", expect_size=\"23354368\"] \n  18 -> 28 [size =\"23354368\"]\n  18 -> 31 [size =\"23354368\"]\n  18 -> 38 [size =\"23354368\"]\n  18 -> 39 [size =\"23354368\"]\n  19 [size=\"70819840\", alpha=\"0.17\", expect_size=\"28327936\"] \n  19 -> 28 [size =\"28327936\"]\n  19 -> 31 [size =\"28327936\"]\n  19 -> 32 [size =\"28327936\"]\n  19 -> 33 [size =\"28327936\"]\n  19 -> 35 [size =\"28327936\"]\n  19 -> 36 [size =\"28327936\"]\n  19 -> 38 [size =\"28327936\"]\n  19 -> 39 [size =\"28327936\"]\n  20 [size=\"80076800\", alpha=\"0.16\", expect_size=\"32030720\"] \n  20 -> 31 [size =\"32030720\"]\n  20 -> 33 [size =\"32030720\"]\n  20 -> 34 [size =\"32030720\"]\n  20 -> 36 [size =\"32030720\"]\n  20 -> 38 [size =\"32030720\"]\n  20 -> 39 [size =\"32030720\"]\n  20 -> 40 [size =\"32030720\"]\n  20 -> 45 [size =\"32030720\"]\n  21 [size=\"93757440\", alpha=\"0.20\", expect_size=\"37502976\"] \n  21 -> 31 [size =\"37502976\"]\n  21 -> 33 [size =\"37502976\"]\n  21 -> 34 [size =\"37502976\"]\n  21 -> 35 [size =\"37502976\"]\n  21 -> 36 [size =\"37502976\"]\n  21 -> 37 [size =\"37502976\"]\n  21 -> 38 [size =\"37502976\"]\n  21 -> 39 [size =\"37502976\"]\n  21 -> 40 [size =\"37502976\"]\n  21 -> 41 [size =\"37502976\"]\n  21 -> 45 [size =\"37502976\"]\n  22 [size=\"17213440\", alpha=\"0.15\", expect_size=\"6885376\"] \n  22 -> 28 [size =\"6885376\"]\n  22 -> 30 [size =\"6885376\"]\n  22 -> 33 [size =\"6885376\"]\n  22 -> 38 [size =\"6885376\"]\n  22 -> 39 [size =\"6885376\"]\n  22 -> 45 [size =\"6885376\"]\n  23 [size=\"100134400\", alpha=\"0.17\", expect_size=\"40053760\"] \n  23 -> 28 [size =\"40053760\"]\n  23 -> 33 [size =\"40053760\"]\n  23 -> 33 [size =\"40053760\"]\n  23 -> 35 [size =\"40053760\"]\n  23 -> 36 [size =\"40053760\"]\n  23 -> 38 [size =\"40053760\"]\n  23 -> 39 [size =\"40053760\"]\n  23 -> 40 [size =\"40053760\"]\n  23 -> 45 [size =\"40053760\"]\n  24 [size=\"104860160\", alpha=\"0.18\", expect_size=\"41944064\"] \n  24 -> 28 [size =\"41944064\"]\n  24 -> 31 [size =\"41944064\"]\n  24 -> 32 [size =\"41944064\"]\n  24 -> 34 [size =\"41944064\"]\n  24 -> 35 [size =\"41944064\"]\n  24 -> 37 [size =\"41944064\"]\n  24 -> 38 [size =\"41944064\"]\n  24 -> 39 [size =\"41944064\"]\n  24 -> 41 [size =\"41944064\"]\n  25 [size=\"69035520\", alpha=\"0.00\", expect_size=\"27614208\"] \n  25 -> 30 [size =\"27614208\"]\n  25 -> 35 [size =\"27614208\"]\n  25 -> 38 [size =\"27614208\"]\n  25 -> 41 [size =\"27614208\"]\n  25 -> 43 [size =\"27614208\"]\n  26 [size=\"18839040\", alpha=\"0.13\", expect_size=\"7535616\"] \n  26 -> 28 [size =\"7535616\"]\n  26 -> 32 [size =\"7535616\"]\n  26 -> 34 [size =\"7535616\"]\n  26 -> 35 [size =\"7535616\"]\n  26 -> 36 [size =\"7535616\"]\n  26 -> 39 [size =\"7535616\"]\n  26 -> 45 [size =\"7535616\"]\n  27 [size=\"48837120\", alpha=\"0.16\", expect_size=\"19534848\"] \n  27 -> 30 [size =\"19534848\"]\n  27 -> 32 [size =\"19534848\"]\n  27 -> 33 [size =\"19534848\"]\n  27 -> 34 [size =\"19534848\"]\n  27 -> 35 [size =\"19534848\"]\n  27 -> 36 [size =\"19534848\"]\n  27 -> 39 [size =\"19534848\"]\n  27 -> 40 [size =\"19534848\"]\n  27 -> 41 [size =\"19534848\"]\n  28 [size=\"100078080\", alpha=\"0.01\", expect_size=\"40031232\"] \n  29 [size=\"68247040\", alpha=\"0.09\", expect_size=\"27298816\"] \n  30 [size=\"49768960\", alpha=\"0.15\", expect_size=\"19907584\"] \n  31 [size=\"24839680\", alpha=\"0.13\", expect_size=\"9935872\"] \n  32 [size=\"22758400\", alpha=\"0.15\", expect_size=\"9103360\"] \n  33 [size=\"110906880\", alpha=\"0.11\", expect_size=\"44362752\"] \n  34 [size=\"95943680\", alpha=\"0.02\", expect_size=\"38377472\"] \n  35 [size=\"85885440\", alpha=\"0.01\", expect_size=\"34354176\"] \n  36 [size=\"85900800\", alpha=\"0.07\", expect_size=\"34360320\"] \n  37 [size=\"43840000\", alpha=\"0.18\", expect_size=\"17536000\"] \n  38 [size=\"20359680\", alpha=\"0.16\", expect_size=\"8143872\"] \n  39 [size=\"23418880\", alpha=\"0.04\", expect_size=\"9367552\"] \n  40 [size=\"77457920\", alpha=\"0.03\", expect_size=\"30983168\"] \n  41 [size=\"49863680\", alpha=\"0.16\", expect_size=\"19945472\"] \n  42 [size=\"123834880\", alpha=\"0.09\", expect_size=\"49533952\"] \n  43 [size=\"92262400\", alpha=\"0.18\", expect_size=\"36904960\"] \n  44 [size=\"40000000\", alpha=\"0.02\", expect_size=\"16000000\"] \n  45 [size=\"54558720\", alpha=\"0.15\", expect_size=\"21823488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53601280\", alpha=\"0.06\", expect_size=\"21440512\"] \n  1 -> 2 [size =\"21440512\"]\n  2 [size=\"65026560\", alpha=\"0.00\", expect_size=\"26010624\"] \n  2 -> 3 [size =\"26010624\"]\n  3 [size=\"85178880\", alpha=\"0.02\", expect_size=\"34071552\"] \n  3 -> 4 [size =\"34071552\"]\n  4 [size=\"123348480\", alpha=\"0.03\", expect_size=\"49339392\"] \n  4 -> 5 [size =\"49339392\"]\n  5 [size=\"22215680\", alpha=\"0.09\", expect_size=\"8886272\"] \n  5 -> 6 [size =\"8886272\"]\n  6 [size=\"24824320\", alpha=\"0.20\", expect_size=\"9929728\"] \n  6 -> 7 [size =\"9929728\"]\n  7 [size=\"28167680\", alpha=\"0.08\", expect_size=\"11267072\"] \n  7 -> 8 [size =\"11267072\"]\n  8 [size=\"38940160\", alpha=\"0.08\", expect_size=\"15576064\"] \n  8 -> 9 [size =\"15576064\"]\n  9 [size=\"57891840\", alpha=\"0.08\", expect_size=\"23156736\"] \n  9 -> 10 [size =\"23156736\"]\n  10 [size=\"23352320\", alpha=\"0.08\", expect_size=\"9340928\"] \n  10 -> 11 [size =\"9340928\"]\n  11 [size=\"76615680\", alpha=\"0.14\", expect_size=\"30646272\"] \n  11 -> 12 [size =\"30646272\"]\n  12 [size=\"111877120\", alpha=\"0.01\", expect_size=\"44750848\"] \n  12 -> 13 [size =\"44750848\"]\n  13 [size=\"112448000\", alpha=\"0.14\", expect_size=\"44979200\"] \n  13 -> 14 [size =\"44979200\"]\n  14 [size=\"121853440\", alpha=\"0.03\", expect_size=\"48741376\"] \n  14 -> 15 [size =\"48741376\"]\n  15 [size=\"22494720\", alpha=\"0.13\", expect_size=\"8997888\"] \n  15 -> 16 [size =\"8997888\"]\n  16 [size=\"74216960\", alpha=\"0.16\", expect_size=\"29686784\"] \n  16 -> 17 [size =\"29686784\"]\n  17 [size=\"71539200\", alpha=\"0.11\", expect_size=\"28615680\"] \n  17 -> 18 [size =\"28615680\"]\n  18 [size=\"118289920\", alpha=\"0.07\", expect_size=\"47315968\"] \n  18 -> 19 [size =\"47315968\"]\n  19 [size=\"46929920\", alpha=\"0.05\", expect_size=\"18771968\"] \n  19 -> 20 [size =\"18771968\"]\n  20 [size=\"94993920\", alpha=\"0.09\", expect_size=\"37997568\"] \n  20 -> 21 [size =\"37997568\"]\n  21 [size=\"22735360\", alpha=\"0.19\", expect_size=\"9094144\"] \n  21 -> 22 [size =\"9094144\"]\n  22 [size=\"102425600\", alpha=\"0.19\", expect_size=\"40970240\"] \n  22 -> 23 [size =\"40970240\"]\n  23 [size=\"107481600\", alpha=\"0.10\", expect_size=\"42992640\"] \n  23 -> 24 [size =\"42992640\"]\n  24 [size=\"73794560\", alpha=\"0.01\", expect_size=\"29517824\"] \n  24 -> 25 [size =\"29517824\"]\n  25 [size=\"92646400\", alpha=\"0.13\", expect_size=\"37058560\"] \n  25 -> 26 [size =\"37058560\"]\n  26 [size=\"49228800\", alpha=\"0.07\", expect_size=\"19691520\"] \n  26 -> 27 [size =\"19691520\"]\n  27 [size=\"26618880\", alpha=\"0.03\", expect_size=\"10647552\"] \n  27 -> 28 [size =\"10647552\"]\n  28 [size=\"91210240\", alpha=\"0.04\", expect_size=\"36484096\"] \n  28 -> 29 [size =\"36484096\"]\n  29 [size=\"16680960\", alpha=\"0.12\", expect_size=\"6672384\"] \n  29 -> 30 [size =\"6672384\"]\n  30 [size=\"46054400\", alpha=\"0.02\", expect_size=\"18421760\"] \n  30 -> 31 [size =\"18421760\"]\n  31 [size=\"97615360\", alpha=\"0.03\", expect_size=\"39046144\"] \n  31 -> 32 [size =\"39046144\"]\n  32 [size=\"93895680\", alpha=\"0.01\", expect_size=\"37558272\"] \n  32 -> 33 [size =\"37558272\"]\n  33 [size=\"86814720\", alpha=\"0.15\", expect_size=\"34725888\"] \n  33 -> 34 [size =\"34725888\"]\n  34 [size=\"30484480\", alpha=\"0.08\", expect_size=\"12193792\"] \n  34 -> 35 [size =\"12193792\"]\n  35 [size=\"35141120\", alpha=\"0.03\", expect_size=\"14056448\"] \n  35 -> 36 [size =\"14056448\"]\n  36 [size=\"109898240\", alpha=\"0.08\", expect_size=\"43959296\"] \n  36 -> 37 [size =\"43959296\"]\n  37 [size=\"30545920\", alpha=\"0.02\", expect_size=\"12218368\"] \n  37 -> 38 [size =\"12218368\"]\n  38 [size=\"48071680\", alpha=\"0.15\", expect_size=\"19228672\"] \n  38 -> 39 [size =\"19228672\"]\n  39 [size=\"70351360\", alpha=\"0.13\", expect_size=\"28140544\"] \n  39 -> 40 [size =\"28140544\"]\n  40 [size=\"24202240\", alpha=\"0.06\", expect_size=\"9680896\"] \n  40 -> 41 [size =\"9680896\"]\n  41 [size=\"37834240\", alpha=\"0.20\", expect_size=\"15133696\"] \n  41 -> 42 [size =\"15133696\"]\n  42 [size=\"56793600\", alpha=\"0.09\", expect_size=\"22717440\"] \n  42 -> 43 [size =\"22717440\"]\n  43 [size=\"61893120\", alpha=\"0.14\", expect_size=\"24757248\"] \n  43 -> 44 [size =\"24757248\"]\n  44 [size=\"34503680\", alpha=\"0.09\", expect_size=\"13801472\"] \n  44 -> 45 [size =\"13801472\"]\n  45 [size=\"83374080\", alpha=\"0.18\", expect_size=\"33349632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67182080\", alpha=\"0.19\", expect_size=\"26872832\"] \n  1 -> 37 [size =\"26872832\"]\n  1 -> 39 [size =\"26872832\"]\n  1 -> 40 [size =\"26872832\"]\n  1 -> 42 [size =\"26872832\"]\n  2 [size=\"66644480\", alpha=\"0.03\", expect_size=\"26657792\"] \n  2 -> 33 [size =\"26657792\"]\n  2 -> 34 [size =\"26657792\"]\n  2 -> 36 [size =\"26657792\"]\n  2 -> 39 [size =\"26657792\"]\n  2 -> 41 [size =\"26657792\"]\n  2 -> 43 [size =\"26657792\"]\n  3 [size=\"22804480\", alpha=\"0.01\", expect_size=\"9121792\"] \n  3 -> 30 [size =\"9121792\"]\n  3 -> 33 [size =\"9121792\"]\n  3 -> 38 [size =\"9121792\"]\n  3 -> 40 [size =\"9121792\"]\n  4 [size=\"79431680\", alpha=\"0.17\", expect_size=\"31772672\"] \n  4 -> 30 [size =\"31772672\"]\n  4 -> 32 [size =\"31772672\"]\n  4 -> 33 [size =\"31772672\"]\n  4 -> 36 [size =\"31772672\"]\n  4 -> 40 [size =\"31772672\"]\n  4 -> 42 [size =\"31772672\"]\n  4 -> 43 [size =\"31772672\"]\n  4 -> 44 [size =\"31772672\"]\n  4 -> 45 [size =\"31772672\"]\n  5 [size=\"14161920\", alpha=\"0.14\", expect_size=\"5664768\"] \n  5 -> 30 [size =\"5664768\"]\n  5 -> 34 [size =\"5664768\"]\n  5 -> 37 [size =\"5664768\"]\n  5 -> 40 [size =\"5664768\"]\n  5 -> 41 [size =\"5664768\"]\n  5 -> 42 [size =\"5664768\"]\n  6 [size=\"26488320\", alpha=\"0.10\", expect_size=\"10595328\"] \n  6 -> 31 [size =\"10595328\"]\n  6 -> 34 [size =\"10595328\"]\n  6 -> 35 [size =\"10595328\"]\n  6 -> 36 [size =\"10595328\"]\n  6 -> 40 [size =\"10595328\"]\n  6 -> 41 [size =\"10595328\"]\n  6 -> 42 [size =\"10595328\"]\n  7 [size=\"48683520\", alpha=\"0.19\", expect_size=\"19473408\"] \n  7 -> 30 [size =\"19473408\"]\n  7 -> 35 [size =\"19473408\"]\n  7 -> 35 [size =\"19473408\"]\n  7 -> 40 [size =\"19473408\"]\n  7 -> 41 [size =\"19473408\"]\n  8 [size=\"18938880\", alpha=\"0.10\", expect_size=\"7575552\"] \n  8 -> 32 [size =\"7575552\"]\n  8 -> 33 [size =\"7575552\"]\n  8 -> 34 [size =\"7575552\"]\n  8 -> 38 [size =\"7575552\"]\n  8 -> 39 [size =\"7575552\"]\n  8 -> 40 [size =\"7575552\"]\n  8 -> 44 [size =\"7575552\"]\n  9 [size=\"77163520\", alpha=\"0.09\", expect_size=\"30865408\"] \n  9 -> 32 [size =\"30865408\"]\n  9 -> 36 [size =\"30865408\"]\n  10 [size=\"28108800\", alpha=\"0.18\", expect_size=\"11243520\"] \n  10 -> 34 [size =\"11243520\"]\n  10 -> 35 [size =\"11243520\"]\n  10 -> 36 [size =\"11243520\"]\n  11 [size=\"125826560\", alpha=\"0.09\", expect_size=\"50330624\"] \n  11 -> 30 [size =\"50330624\"]\n  11 -> 31 [size =\"50330624\"]\n  11 -> 34 [size =\"50330624\"]\n  11 -> 35 [size =\"50330624\"]\n  11 -> 37 [size =\"50330624\"]\n  12 [size=\"117120000\", alpha=\"0.04\", expect_size=\"46848000\"] \n  12 -> 30 [size =\"46848000\"]\n  12 -> 33 [size =\"46848000\"]\n  12 -> 35 [size =\"46848000\"]\n  12 -> 37 [size =\"46848000\"]\n  12 -> 38 [size =\"46848000\"]\n  12 -> 44 [size =\"46848000\"]\n  13 [size=\"17267200\", alpha=\"0.08\", expect_size=\"6906880\"] \n  13 -> 32 [size =\"6906880\"]\n  13 -> 37 [size =\"6906880\"]\n  13 -> 39 [size =\"6906880\"]\n  13 -> 41 [size =\"6906880\"]\n  13 -> 44 [size =\"6906880\"]\n  14 [size=\"24168960\", alpha=\"0.13\", expect_size=\"9667584\"] \n  14 -> 32 [size =\"9667584\"]\n  14 -> 37 [size =\"9667584\"]\n  14 -> 40 [size =\"9667584\"]\n  14 -> 41 [size =\"9667584\"]\n  15 [size=\"123194880\", alpha=\"0.17\", expect_size=\"49277952\"] \n  15 -> 34 [size =\"49277952\"]\n  15 -> 35 [size =\"49277952\"]\n  15 -> 37 [size =\"49277952\"]\n  15 -> 39 [size =\"49277952\"]\n  15 -> 40 [size =\"49277952\"]\n  15 -> 41 [size =\"49277952\"]\n  15 -> 42 [size =\"49277952\"]\n  15 -> 43 [size =\"49277952\"]\n  15 -> 44 [size =\"49277952\"]\n  15 -> 45 [size =\"49277952\"]\n  16 [size=\"87856640\", alpha=\"0.17\", expect_size=\"35142656\"] \n  16 -> 32 [size =\"35142656\"]\n  16 -> 33 [size =\"35142656\"]\n  16 -> 34 [size =\"35142656\"]\n  16 -> 36 [size =\"35142656\"]\n  16 -> 39 [size =\"35142656\"]\n  16 -> 40 [size =\"35142656\"]\n  16 -> 41 [size =\"35142656\"]\n  16 -> 42 [size =\"35142656\"]\n  16 -> 44 [size =\"35142656\"]\n  17 [size=\"30917120\", alpha=\"0.04\", expect_size=\"12366848\"] \n  17 -> 30 [size =\"12366848\"]\n  17 -> 34 [size =\"12366848\"]\n  17 -> 34 [size =\"12366848\"]\n  17 -> 39 [size =\"12366848\"]\n  17 -> 40 [size =\"12366848\"]\n  17 -> 44 [size =\"12366848\"]\n  18 [size=\"26869760\", alpha=\"0.19\", expect_size=\"10747904\"] \n  18 -> 30 [size =\"10747904\"]\n  18 -> 33 [size =\"10747904\"]\n  18 -> 34 [size =\"10747904\"]\n  18 -> 39 [size =\"10747904\"]\n  18 -> 41 [size =\"10747904\"]\n  18 -> 43 [size =\"10747904\"]\n  19 [size=\"88046080\", alpha=\"0.07\", expect_size=\"35218432\"] \n  19 -> 30 [size =\"35218432\"]\n  19 -> 33 [size =\"35218432\"]\n  19 -> 34 [size =\"35218432\"]\n  19 -> 36 [size =\"35218432\"]\n  19 -> 39 [size =\"35218432\"]\n  20 [size=\"22453760\", alpha=\"0.15\", expect_size=\"8981504\"] \n  20 -> 30 [size =\"8981504\"]\n  20 -> 33 [size =\"8981504\"]\n  20 -> 34 [size =\"8981504\"]\n  20 -> 39 [size =\"8981504\"]\n  20 -> 40 [size =\"8981504\"]\n  21 [size=\"130286080\", alpha=\"0.12\", expect_size=\"52114432\"] \n  21 -> 30 [size =\"52114432\"]\n  21 -> 33 [size =\"52114432\"]\n  21 -> 34 [size =\"52114432\"]\n  21 -> 36 [size =\"52114432\"]\n  21 -> 37 [size =\"52114432\"]\n  21 -> 40 [size =\"52114432\"]\n  21 -> 41 [size =\"52114432\"]\n  22 [size=\"62904320\", alpha=\"0.18\", expect_size=\"25161728\"] \n  22 -> 30 [size =\"25161728\"]\n  22 -> 34 [size =\"25161728\"]\n  22 -> 36 [size =\"25161728\"]\n  22 -> 37 [size =\"25161728\"]\n  22 -> 39 [size =\"25161728\"]\n  22 -> 40 [size =\"25161728\"]\n  22 -> 41 [size =\"25161728\"]\n  22 -> 42 [size =\"25161728\"]\n  22 -> 43 [size =\"25161728\"]\n  22 -> 44 [size =\"25161728\"]\n  22 -> 45 [size =\"25161728\"]\n  23 [size=\"89285120\", alpha=\"0.06\", expect_size=\"35714048\"] \n  23 -> 30 [size =\"35714048\"]\n  23 -> 33 [size =\"35714048\"]\n  23 -> 37 [size =\"35714048\"]\n  23 -> 39 [size =\"35714048\"]\n  23 -> 41 [size =\"35714048\"]\n  23 -> 42 [size =\"35714048\"]\n  23 -> 44 [size =\"35714048\"]\n  24 [size=\"18304000\", alpha=\"0.06\", expect_size=\"7321600\"] \n  24 -> 34 [size =\"7321600\"]\n  24 -> 40 [size =\"7321600\"]\n  24 -> 41 [size =\"7321600\"]\n  24 -> 42 [size =\"7321600\"]\n  24 -> 43 [size =\"7321600\"]\n  25 [size=\"95984640\", alpha=\"0.05\", expect_size=\"38393856\"] \n  25 -> 31 [size =\"38393856\"]\n  25 -> 34 [size =\"38393856\"]\n  25 -> 35 [size =\"38393856\"]\n  25 -> 39 [size =\"38393856\"]\n  25 -> 42 [size =\"38393856\"]\n  25 -> 43 [size =\"38393856\"]\n  26 [size=\"81098240\", alpha=\"0.07\", expect_size=\"32439296\"] \n  26 -> 31 [size =\"32439296\"]\n  26 -> 33 [size =\"32439296\"]\n  26 -> 34 [size =\"32439296\"]\n  26 -> 36 [size =\"32439296\"]\n  26 -> 42 [size =\"32439296\"]\n  26 -> 44 [size =\"32439296\"]\n  27 [size=\"60469760\", alpha=\"0.15\", expect_size=\"24187904\"] \n  27 -> 30 [size =\"24187904\"]\n  27 -> 34 [size =\"24187904\"]\n  27 -> 35 [size =\"24187904\"]\n  27 -> 36 [size =\"24187904\"]\n  27 -> 37 [size =\"24187904\"]\n  27 -> 40 [size =\"24187904\"]\n  27 -> 41 [size =\"24187904\"]\n  27 -> 42 [size =\"24187904\"]\n  28 [size=\"86507520\", alpha=\"0.03\", expect_size=\"34603008\"] \n  28 -> 37 [size =\"34603008\"]\n  28 -> 39 [size =\"34603008\"]\n  28 -> 40 [size =\"34603008\"]\n  28 -> 42 [size =\"34603008\"]\n  28 -> 43 [size =\"34603008\"]\n  29 [size=\"78643200\", alpha=\"0.03\", expect_size=\"31457280\"] \n  29 -> 40 [size =\"31457280\"]\n  30 [size=\"117201920\", alpha=\"0.05\", expect_size=\"46880768\"] \n  31 [size=\"85859840\", alpha=\"0.06\", expect_size=\"34343936\"] \n  32 [size=\"38694400\", alpha=\"0.05\", expect_size=\"15477760\"] \n  33 [size=\"29242880\", alpha=\"0.05\", expect_size=\"11697152\"] \n  34 [size=\"67207680\", alpha=\"0.06\", expect_size=\"26883072\"] \n  35 [size=\"100943360\", alpha=\"0.07\", expect_size=\"40377344\"] \n  36 [size=\"13547520\", alpha=\"0.19\", expect_size=\"5419008\"] \n  37 [size=\"54333440\", alpha=\"0.15\", expect_size=\"21733376\"] \n  38 [size=\"22945280\", alpha=\"0.13\", expect_size=\"9178112\"] \n  39 [size=\"43182080\", alpha=\"0.04\", expect_size=\"17272832\"] \n  40 [size=\"61137920\", alpha=\"0.17\", expect_size=\"24455168\"] \n  41 [size=\"91814400\", alpha=\"0.09\", expect_size=\"36725760\"] \n  42 [size=\"129968640\", alpha=\"0.10\", expect_size=\"51987456\"] \n  43 [size=\"43683840\", alpha=\"0.04\", expect_size=\"17473536\"] \n  44 [size=\"73049600\", alpha=\"0.18\", expect_size=\"29219840\"] \n  45 [size=\"111170560\", alpha=\"0.07\", expect_size=\"44468224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21117440\", alpha=\"0.16\", expect_size=\"8446976\"] \n  1 -> 30 [size =\"8446976\"]\n  1 -> 30 [size =\"8446976\"]\n  1 -> 35 [size =\"8446976\"]\n  1 -> 36 [size =\"8446976\"]\n  1 -> 40 [size =\"8446976\"]\n  2 [size=\"119331840\", alpha=\"0.15\", expect_size=\"47732736\"] \n  2 -> 29 [size =\"47732736\"]\n  2 -> 30 [size =\"47732736\"]\n  2 -> 37 [size =\"47732736\"]\n  2 -> 39 [size =\"47732736\"]\n  3 [size=\"36587520\", alpha=\"0.12\", expect_size=\"14635008\"] \n  3 -> 29 [size =\"14635008\"]\n  3 -> 31 [size =\"14635008\"]\n  3 -> 32 [size =\"14635008\"]\n  3 -> 37 [size =\"14635008\"]\n  4 [size=\"59458560\", alpha=\"0.19\", expect_size=\"23783424\"] \n  4 -> 29 [size =\"23783424\"]\n  4 -> 31 [size =\"23783424\"]\n  4 -> 32 [size =\"23783424\"]\n  4 -> 34 [size =\"23783424\"]\n  4 -> 40 [size =\"23783424\"]\n  4 -> 42 [size =\"23783424\"]\n  5 [size=\"13132800\", alpha=\"0.11\", expect_size=\"5253120\"] \n  5 -> 34 [size =\"5253120\"]\n  5 -> 37 [size =\"5253120\"]\n  5 -> 40 [size =\"5253120\"]\n  5 -> 42 [size =\"5253120\"]\n  6 [size=\"30963200\", alpha=\"0.17\", expect_size=\"12385280\"] \n  6 -> 34 [size =\"12385280\"]\n  6 -> 36 [size =\"12385280\"]\n  6 -> 40 [size =\"12385280\"]\n  6 -> 42 [size =\"12385280\"]\n  7 [size=\"126021120\", alpha=\"0.08\", expect_size=\"50408448\"] \n  7 -> 30 [size =\"50408448\"]\n  7 -> 31 [size =\"50408448\"]\n  7 -> 32 [size =\"50408448\"]\n  7 -> 35 [size =\"50408448\"]\n  7 -> 38 [size =\"50408448\"]\n  7 -> 40 [size =\"50408448\"]\n  7 -> 42 [size =\"50408448\"]\n  8 [size=\"48998400\", alpha=\"0.10\", expect_size=\"19599360\"] \n  8 -> 31 [size =\"19599360\"]\n  8 -> 32 [size =\"19599360\"]\n  8 -> 35 [size =\"19599360\"]\n  8 -> 38 [size =\"19599360\"]\n  8 -> 39 [size =\"19599360\"]\n  8 -> 40 [size =\"19599360\"]\n  9 [size=\"69381120\", alpha=\"0.13\", expect_size=\"27752448\"] \n  10 [size=\"104117760\", alpha=\"0.17\", expect_size=\"41647104\"] \n  10 -> 30 [size =\"41647104\"]\n  10 -> 36 [size =\"41647104\"]\n  10 -> 39 [size =\"41647104\"]\n  10 -> 40 [size =\"41647104\"]\n  11 [size=\"122636800\", alpha=\"0.20\", expect_size=\"49054720\"] \n  11 -> 29 [size =\"49054720\"]\n  11 -> 30 [size =\"49054720\"]\n  11 -> 31 [size =\"49054720\"]\n  11 -> 35 [size =\"49054720\"]\n  11 -> 38 [size =\"49054720\"]\n  11 -> 40 [size =\"49054720\"]\n  12 [size=\"98695680\", alpha=\"0.00\", expect_size=\"39478272\"] \n  12 -> 30 [size =\"39478272\"]\n  12 -> 31 [size =\"39478272\"]\n  12 -> 35 [size =\"39478272\"]\n  12 -> 36 [size =\"39478272\"]\n  12 -> 38 [size =\"39478272\"]\n  12 -> 40 [size =\"39478272\"]\n  13 [size=\"68833280\", alpha=\"0.07\", expect_size=\"27533312\"] \n  13 -> 35 [size =\"27533312\"]\n  13 -> 39 [size =\"27533312\"]\n  13 -> 40 [size =\"27533312\"]\n  13 -> 42 [size =\"27533312\"]\n  14 [size=\"19427840\", alpha=\"0.18\", expect_size=\"7771136\"] \n  14 -> 29 [size =\"7771136\"]\n  14 -> 36 [size =\"7771136\"]\n  15 [size=\"13219840\", alpha=\"0.11\", expect_size=\"5287936\"] \n  15 -> 29 [size =\"5287936\"]\n  15 -> 30 [size =\"5287936\"]\n  15 -> 35 [size =\"5287936\"]\n  15 -> 36 [size =\"5287936\"]\n  15 -> 39 [size =\"5287936\"]\n  16 [size=\"80320000\", alpha=\"0.08\", expect_size=\"32128000\"] \n  16 -> 29 [size =\"32128000\"]\n  16 -> 35 [size =\"32128000\"]\n  16 -> 36 [size =\"32128000\"]\n  16 -> 37 [size =\"32128000\"]\n  16 -> 38 [size =\"32128000\"]\n  16 -> 40 [size =\"32128000\"]\n  17 [size=\"62289920\", alpha=\"0.09\", expect_size=\"24915968\"] \n  17 -> 29 [size =\"24915968\"]\n  17 -> 31 [size =\"24915968\"]\n  18 [size=\"106961920\", alpha=\"0.12\", expect_size=\"42784768\"] \n  18 -> 29 [size =\"42784768\"]\n  18 -> 31 [size =\"42784768\"]\n  19 [size=\"46341120\", alpha=\"0.08\", expect_size=\"18536448\"] \n  19 -> 29 [size =\"18536448\"]\n  19 -> 31 [size =\"18536448\"]\n  19 -> 36 [size =\"18536448\"]\n  19 -> 37 [size =\"18536448\"]\n  19 -> 38 [size =\"18536448\"]\n  19 -> 40 [size =\"18536448\"]\n  19 -> 42 [size =\"18536448\"]\n  20 [size=\"121815040\", alpha=\"0.11\", expect_size=\"48726016\"] \n  20 -> 29 [size =\"48726016\"]\n  20 -> 31 [size =\"48726016\"]\n  20 -> 33 [size =\"48726016\"]\n  20 -> 37 [size =\"48726016\"]\n  20 -> 38 [size =\"48726016\"]\n  20 -> 40 [size =\"48726016\"]\n  20 -> 42 [size =\"48726016\"]\n  20 -> 45 [size =\"48726016\"]\n  21 [size=\"101644800\", alpha=\"0.16\", expect_size=\"40657920\"] \n  21 -> 29 [size =\"40657920\"]\n  21 -> 34 [size =\"40657920\"]\n  21 -> 35 [size =\"40657920\"]\n  21 -> 36 [size =\"40657920\"]\n  21 -> 39 [size =\"40657920\"]\n  21 -> 42 [size =\"40657920\"]\n  21 -> 43 [size =\"40657920\"]\n  22 [size=\"100083200\", alpha=\"0.19\", expect_size=\"40033280\"] \n  22 -> 30 [size =\"40033280\"]\n  22 -> 31 [size =\"40033280\"]\n  22 -> 34 [size =\"40033280\"]\n  22 -> 38 [size =\"40033280\"]\n  22 -> 41 [size =\"40033280\"]\n  23 [size=\"100940800\", alpha=\"0.05\", expect_size=\"40376320\"] \n  23 -> 35 [size =\"40376320\"]\n  23 -> 38 [size =\"40376320\"]\n  24 [size=\"24944640\", alpha=\"0.20\", expect_size=\"9977856\"] \n  24 -> 30 [size =\"9977856\"]\n  24 -> 35 [size =\"9977856\"]\n  24 -> 40 [size =\"9977856\"]\n  24 -> 42 [size =\"9977856\"]\n  25 [size=\"16007680\", alpha=\"0.14\", expect_size=\"6403072\"] \n  25 -> 30 [size =\"6403072\"]\n  25 -> 35 [size =\"6403072\"]\n  25 -> 36 [size =\"6403072\"]\n  25 -> 40 [size =\"6403072\"]\n  25 -> 41 [size =\"6403072\"]\n  25 -> 42 [size =\"6403072\"]\n  26 [size=\"82754560\", alpha=\"0.11\", expect_size=\"33101824\"] \n  26 -> 30 [size =\"33101824\"]\n  26 -> 31 [size =\"33101824\"]\n  26 -> 33 [size =\"33101824\"]\n  26 -> 37 [size =\"33101824\"]\n  26 -> 39 [size =\"33101824\"]\n  26 -> 40 [size =\"33101824\"]\n  26 -> 42 [size =\"33101824\"]\n  26 -> 44 [size =\"33101824\"]\n  27 [size=\"13429760\", alpha=\"0.08\", expect_size=\"5371904\"] \n  27 -> 30 [size =\"5371904\"]\n  27 -> 31 [size =\"5371904\"]\n  27 -> 34 [size =\"5371904\"]\n  27 -> 35 [size =\"5371904\"]\n  27 -> 38 [size =\"5371904\"]\n  27 -> 40 [size =\"5371904\"]\n  27 -> 42 [size =\"5371904\"]\n  28 [size=\"63836160\", alpha=\"0.11\", expect_size=\"25534464\"] \n  28 -> 29 [size =\"25534464\"]\n  28 -> 30 [size =\"25534464\"]\n  28 -> 31 [size =\"25534464\"]\n  28 -> 35 [size =\"25534464\"]\n  28 -> 38 [size =\"25534464\"]\n  28 -> 39 [size =\"25534464\"]\n  29 [size=\"18129920\", alpha=\"0.03\", expect_size=\"7251968\"] \n  30 [size=\"66910720\", alpha=\"0.10\", expect_size=\"26764288\"] \n  31 [size=\"16547840\", alpha=\"0.17\", expect_size=\"6619136\"] \n  32 [size=\"110978560\", alpha=\"0.17\", expect_size=\"44391424\"] \n  33 [size=\"102538240\", alpha=\"0.07\", expect_size=\"41015296\"] \n  34 [size=\"14704640\", alpha=\"0.19\", expect_size=\"5881856\"] \n  35 [size=\"129763840\", alpha=\"0.10\", expect_size=\"51905536\"] \n  36 [size=\"93847040\", alpha=\"0.13\", expect_size=\"37538816\"] \n  37 [size=\"42775040\", alpha=\"0.04\", expect_size=\"17110016\"] \n  38 [size=\"89466880\", alpha=\"0.11\", expect_size=\"35786752\"] \n  39 [size=\"33881600\", alpha=\"0.03\", expect_size=\"13552640\"] \n  40 [size=\"50260480\", alpha=\"0.14\", expect_size=\"20104192\"] \n  41 [size=\"111654400\", alpha=\"0.20\", expect_size=\"44661760\"] \n  42 [size=\"91663360\", alpha=\"0.01\", expect_size=\"36665344\"] \n  43 [size=\"75875840\", alpha=\"0.16\", expect_size=\"30350336\"] \n  44 [size=\"120020480\", alpha=\"0.14\", expect_size=\"48008192\"] \n  45 [size=\"112458240\", alpha=\"0.12\", expect_size=\"44983296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49451520\", alpha=\"0.12\", expect_size=\"19780608\"] \n  1 -> 9 [size =\"19780608\"]\n  1 -> 10 [size =\"19780608\"]\n  1 -> 12 [size =\"19780608\"]\n  2 [size=\"97382400\", alpha=\"0.01\", expect_size=\"38952960\"] \n  2 -> 9 [size =\"38952960\"]\n  2 -> 10 [size =\"38952960\"]\n  2 -> 11 [size =\"38952960\"]\n  2 -> 12 [size =\"38952960\"]\n  3 [size=\"69818880\", alpha=\"0.09\", expect_size=\"27927552\"] \n  3 -> 9 [size =\"27927552\"]\n  3 -> 10 [size =\"27927552\"]\n  3 -> 14 [size =\"27927552\"]\n  4 [size=\"92948480\", alpha=\"0.13\", expect_size=\"37179392\"] \n  4 -> 12 [size =\"37179392\"]\n  5 [size=\"24716800\", alpha=\"0.16\", expect_size=\"9886720\"] \n  5 -> 10 [size =\"9886720\"]\n  5 -> 11 [size =\"9886720\"]\n  5 -> 12 [size =\"9886720\"]\n  5 -> 13 [size =\"9886720\"]\n  6 [size=\"77112320\", alpha=\"0.09\", expect_size=\"30844928\"] \n  6 -> 10 [size =\"30844928\"]\n  6 -> 14 [size =\"30844928\"]\n  6 -> 16 [size =\"30844928\"]\n  7 [size=\"59379200\", alpha=\"0.07\", expect_size=\"23751680\"] \n  7 -> 10 [size =\"23751680\"]\n  7 -> 15 [size =\"23751680\"]\n  8 [size=\"59645440\", alpha=\"0.05\", expect_size=\"23858176\"] \n  8 -> 9 [size =\"23858176\"]\n  8 -> 11 [size =\"23858176\"]\n  8 -> 12 [size =\"23858176\"]\n  9 [size=\"57620480\", alpha=\"0.11\", expect_size=\"23048192\"] \n  9 -> 17 [size =\"23048192\"]\n  9 -> 18 [size =\"23048192\"]\n  9 -> 19 [size =\"23048192\"]\n  9 -> 21 [size =\"23048192\"]\n  9 -> 23 [size =\"23048192\"]\n  10 [size=\"77073920\", alpha=\"0.16\", expect_size=\"30829568\"] \n  10 -> 17 [size =\"30829568\"]\n  10 -> 21 [size =\"30829568\"]\n  10 -> 23 [size =\"30829568\"]\n  11 [size=\"57822720\", alpha=\"0.16\", expect_size=\"23129088\"] \n  11 -> 17 [size =\"23129088\"]\n  11 -> 20 [size =\"23129088\"]\n  11 -> 23 [size =\"23129088\"]\n  12 [size=\"128627200\", alpha=\"0.13\", expect_size=\"51450880\"] \n  12 -> 17 [size =\"51450880\"]\n  12 -> 23 [size =\"51450880\"]\n  13 [size=\"16709120\", alpha=\"0.15\", expect_size=\"6683648\"] \n  13 -> 18 [size =\"6683648\"]\n  13 -> 19 [size =\"6683648\"]\n  13 -> 21 [size =\"6683648\"]\n  13 -> 22 [size =\"6683648\"]\n  14 [size=\"67745280\", alpha=\"0.19\", expect_size=\"27098112\"] \n  14 -> 19 [size =\"27098112\"]\n  14 -> 19 [size =\"27098112\"]\n  14 -> 20 [size =\"27098112\"]\n  15 [size=\"29032960\", alpha=\"0.12\", expect_size=\"11613184\"] \n  15 -> 17 [size =\"11613184\"]\n  15 -> 19 [size =\"11613184\"]\n  15 -> 21 [size =\"11613184\"]\n  15 -> 22 [size =\"11613184\"]\n  16 [size=\"121720320\", alpha=\"0.14\", expect_size=\"48688128\"] \n  16 -> 17 [size =\"48688128\"]\n  16 -> 18 [size =\"48688128\"]\n  16 -> 19 [size =\"48688128\"]\n  16 -> 21 [size =\"48688128\"]\n  17 [size=\"56437760\", alpha=\"0.08\", expect_size=\"22575104\"] \n  17 -> 25 [size =\"22575104\"]\n  17 -> 26 [size =\"22575104\"]\n  17 -> 27 [size =\"22575104\"]\n  18 [size=\"95034880\", alpha=\"0.06\", expect_size=\"38013952\"] \n  18 -> 25 [size =\"38013952\"]\n  18 -> 26 [size =\"38013952\"]\n  18 -> 27 [size =\"38013952\"]\n  19 [size=\"122595840\", alpha=\"0.17\", expect_size=\"49038336\"] \n  19 -> 25 [size =\"49038336\"]\n  19 -> 26 [size =\"49038336\"]\n  20 [size=\"67394560\", alpha=\"0.15\", expect_size=\"26957824\"] \n  20 -> 26 [size =\"26957824\"]\n  20 -> 27 [size =\"26957824\"]\n  21 [size=\"40855040\", alpha=\"0.19\", expect_size=\"16342016\"] \n  21 -> 26 [size =\"16342016\"]\n  22 [size=\"16450560\", alpha=\"0.18\", expect_size=\"6580224\"] \n  22 -> 24 [size =\"6580224\"]\n  22 -> 27 [size =\"6580224\"]\n  23 [size=\"94822400\", alpha=\"0.06\", expect_size=\"37928960\"] \n  24 [size=\"62400000\", alpha=\"0.08\", expect_size=\"24960000\"] \n  24 -> 28 [size =\"24960000\"]\n  24 -> 29 [size =\"24960000\"]\n  24 -> 30 [size =\"24960000\"]\n  25 [size=\"57415680\", alpha=\"0.11\", expect_size=\"22966272\"] \n  25 -> 28 [size =\"22966272\"]\n  25 -> 29 [size =\"22966272\"]\n  26 [size=\"125885440\", alpha=\"0.06\", expect_size=\"50354176\"] \n  27 [size=\"93273600\", alpha=\"0.08\", expect_size=\"37309440\"] \n  27 -> 30 [size =\"37309440\"]\n  28 [size=\"24079360\", alpha=\"0.18\", expect_size=\"9631744\"] \n  28 -> 33 [size =\"9631744\"]\n  28 -> 34 [size =\"9631744\"]\n  29 [size=\"59696640\", alpha=\"0.16\", expect_size=\"23878656\"] \n  29 -> 31 [size =\"23878656\"]\n  29 -> 32 [size =\"23878656\"]\n  29 -> 34 [size =\"23878656\"]\n  29 -> 35 [size =\"23878656\"]\n  30 [size=\"43450880\", alpha=\"0.04\", expect_size=\"17380352\"] \n  30 -> 31 [size =\"17380352\"]\n  30 -> 32 [size =\"17380352\"]\n  30 -> 35 [size =\"17380352\"]\n  31 [size=\"15513600\", alpha=\"0.01\", expect_size=\"6205440\"] \n  31 -> 36 [size =\"6205440\"]\n  31 -> 38 [size =\"6205440\"]\n  32 [size=\"130188800\", alpha=\"0.16\", expect_size=\"52075520\"] \n  32 -> 39 [size =\"52075520\"]\n  33 [size=\"117862400\", alpha=\"0.13\", expect_size=\"47144960\"] \n  33 -> 36 [size =\"47144960\"]\n  33 -> 37 [size =\"47144960\"]\n  33 -> 38 [size =\"47144960\"]\n  34 [size=\"35248640\", alpha=\"0.18\", expect_size=\"14099456\"] \n  34 -> 36 [size =\"14099456\"]\n  34 -> 37 [size =\"14099456\"]\n  34 -> 38 [size =\"14099456\"]\n  34 -> 39 [size =\"14099456\"]\n  35 [size=\"80148480\", alpha=\"0.07\", expect_size=\"32059392\"] \n  35 -> 36 [size =\"32059392\"]\n  35 -> 38 [size =\"32059392\"]\n  36 [size=\"28249600\", alpha=\"0.13\", expect_size=\"11299840\"] \n  36 -> 40 [size =\"11299840\"]\n  36 -> 43 [size =\"11299840\"]\n  37 [size=\"61519360\", alpha=\"0.07\", expect_size=\"24607744\"] \n  37 -> 42 [size =\"24607744\"]\n  37 -> 44 [size =\"24607744\"]\n  38 [size=\"108267520\", alpha=\"0.15\", expect_size=\"43307008\"] \n  39 [size=\"97072640\", alpha=\"0.02\", expect_size=\"38829056\"] \n  39 -> 40 [size =\"38829056\"]\n  39 -> 41 [size =\"38829056\"]\n  39 -> 43 [size =\"38829056\"]\n  39 -> 44 [size =\"38829056\"]\n  39 -> 45 [size =\"38829056\"]\n  40 [size=\"72448000\", alpha=\"0.18\", expect_size=\"28979200\"] \n  41 [size=\"98360320\", alpha=\"0.18\", expect_size=\"39344128\"] \n  42 [size=\"101557760\", alpha=\"0.19\", expect_size=\"40623104\"] \n  43 [size=\"79603200\", alpha=\"0.14\", expect_size=\"31841280\"] \n  44 [size=\"36093440\", alpha=\"0.17\", expect_size=\"14437376\"] \n  45 [size=\"25674240\", alpha=\"0.08\", expect_size=\"10269696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77801472\", alpha=\"0.00\", expect_size=\"38900736\"] \n  2 [size=\"81522688\", alpha=\"0.14\", expect_size=\"40761344\"] \n  2 -> 4 [size =\"40761344\"]\n  2 -> 5 [size =\"40761344\"]\n  3 [size=\"38455296\", alpha=\"0.08\", expect_size=\"19227648\"] \n  4 [size=\"88406016\", alpha=\"0.01\", expect_size=\"44203008\"] \n  4 -> 7 [size =\"44203008\"]\n  4 -> 8 [size =\"44203008\"]\n  5 [size=\"14149632\", alpha=\"0.13\", expect_size=\"7074816\"] \n  5 -> 6 [size =\"7074816\"]\n  5 -> 7 [size =\"7074816\"]\n  5 -> 8 [size =\"7074816\"]\n  6 [size=\"43612160\", alpha=\"0.12\", expect_size=\"21806080\"] \n  6 -> 9 [size =\"21806080\"]\n  6 -> 11 [size =\"21806080\"]\n  7 [size=\"94265344\", alpha=\"0.01\", expect_size=\"47132672\"] \n  7 -> 11 [size =\"47132672\"]\n  8 [size=\"87783424\", alpha=\"0.15\", expect_size=\"43891712\"] \n  8 -> 10 [size =\"43891712\"]\n  9 [size=\"52336640\", alpha=\"0.09\", expect_size=\"26168320\"] \n  10 [size=\"67524608\", alpha=\"0.18\", expect_size=\"33762304\"] \n  10 -> 12 [size =\"33762304\"]\n  10 -> 13 [size =\"33762304\"]\n  11 [size=\"48936960\", alpha=\"0.11\", expect_size=\"24468480\"] \n  11 -> 13 [size =\"24468480\"]\n  11 -> 14 [size =\"24468480\"]\n  12 [size=\"49307648\", alpha=\"0.16\", expect_size=\"24653824\"] \n  12 -> 17 [size =\"24653824\"]\n  13 [size=\"21112832\", alpha=\"0.08\", expect_size=\"10556416\"] \n  13 -> 15 [size =\"10556416\"]\n  13 -> 16 [size =\"10556416\"]\n  14 [size=\"60444672\", alpha=\"0.20\", expect_size=\"30222336\"] \n  14 -> 15 [size =\"30222336\"]\n  14 -> 17 [size =\"30222336\"]\n  15 [size=\"62879744\", alpha=\"0.02\", expect_size=\"31439872\"] \n  15 -> 18 [size =\"31439872\"]\n  15 -> 19 [size =\"31439872\"]\n  16 [size=\"29966336\", alpha=\"0.01\", expect_size=\"14983168\"] \n  16 -> 18 [size =\"14983168\"]\n  17 [size=\"85884928\", alpha=\"0.15\", expect_size=\"42942464\"] \n  17 -> 19 [size =\"42942464\"]\n  18 [size=\"91609088\", alpha=\"0.07\", expect_size=\"45804544\"] \n  18 -> 21 [size =\"45804544\"]\n  18 -> 22 [size =\"45804544\"]\n  19 [size=\"68194304\", alpha=\"0.01\", expect_size=\"34097152\"] \n  19 -> 20 [size =\"34097152\"]\n  19 -> 22 [size =\"34097152\"]\n  20 [size=\"14422016\", alpha=\"0.13\", expect_size=\"7211008\"] \n  20 -> 25 [size =\"7211008\"]\n  21 [size=\"100833280\", alpha=\"0.00\", expect_size=\"50416640\"] \n  21 -> 23 [size =\"50416640\"]\n  22 [size=\"57540608\", alpha=\"0.02\", expect_size=\"28770304\"] \n  22 -> 24 [size =\"28770304\"]\n  22 -> 25 [size =\"28770304\"]\n  23 [size=\"36810752\", alpha=\"0.10\", expect_size=\"18405376\"] \n  23 -> 27 [size =\"18405376\"]\n  23 -> 28 [size =\"18405376\"]\n  24 [size=\"73838592\", alpha=\"0.15\", expect_size=\"36919296\"] \n  25 [size=\"72425472\", alpha=\"0.00\", expect_size=\"36212736\"] \n  25 -> 26 [size =\"36212736\"]\n  26 [size=\"83728384\", alpha=\"0.13\", expect_size=\"41864192\"] \n  27 [size=\"87005184\", alpha=\"0.03\", expect_size=\"43502592\"] \n  27 -> 30 [size =\"43502592\"]\n  28 [size=\"62033920\", alpha=\"0.09\", expect_size=\"31016960\"] \n  28 -> 29 [size =\"31016960\"]\n  28 -> 31 [size =\"31016960\"]\n  29 [size=\"95973376\", alpha=\"0.04\", expect_size=\"47986688\"] \n  30 [size=\"98564096\", alpha=\"0.12\", expect_size=\"49282048\"] \n  30 -> 32 [size =\"49282048\"]\n  31 [size=\"67026944\", alpha=\"0.07\", expect_size=\"33513472\"] \n  31 -> 33 [size =\"33513472\"]\n  32 [size=\"68675584\", alpha=\"0.11\", expect_size=\"34337792\"] \n  32 -> 34 [size =\"34337792\"]\n  32 -> 35 [size =\"34337792\"]\n  33 [size=\"80177152\", alpha=\"0.17\", expect_size=\"40088576\"] \n  33 -> 36 [size =\"40088576\"]\n  34 [size=\"35131392\", alpha=\"0.14\", expect_size=\"17565696\"] \n  35 [size=\"11456512\", alpha=\"0.02\", expect_size=\"5728256\"] \n  35 -> 37 [size =\"5728256\"]\n  36 [size=\"12822528\", alpha=\"0.14\", expect_size=\"6411264\"] \n  36 -> 38 [size =\"6411264\"]\n  37 [size=\"72349696\", alpha=\"0.01\", expect_size=\"36174848\"] \n  37 -> 39 [size =\"36174848\"]\n  37 -> 41 [size =\"36174848\"]\n  38 [size=\"85080064\", alpha=\"0.06\", expect_size=\"42540032\"] \n  38 -> 39 [size =\"42540032\"]\n  38 -> 40 [size =\"42540032\"]\n  38 -> 41 [size =\"42540032\"]\n  39 [size=\"33937408\", alpha=\"0.04\", expect_size=\"16968704\"] \n  39 -> 43 [size =\"16968704\"]\n  40 [size=\"55148544\", alpha=\"0.02\", expect_size=\"27574272\"] \n  40 -> 42 [size =\"27574272\"]\n  41 [size=\"17006592\", alpha=\"0.19\", expect_size=\"8503296\"] \n  41 -> 43 [size =\"8503296\"]\n  42 [size=\"52338688\", alpha=\"0.06\", expect_size=\"26169344\"] \n  42 -> 44 [size =\"26169344\"]\n  43 [size=\"11220992\", alpha=\"0.19\", expect_size=\"5610496\"] \n  43 -> 44 [size =\"5610496\"]\n  43 -> 45 [size =\"5610496\"]\n  44 [size=\"93030400\", alpha=\"0.05\", expect_size=\"46515200\"] \n  45 [size=\"64610304\", alpha=\"0.05\", expect_size=\"32305152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46628864\", alpha=\"0.08\", expect_size=\"23314432\"] \n  1 -> 40 [size =\"23314432\"]\n  1 -> 40 [size =\"23314432\"]\n  1 -> 41 [size =\"23314432\"]\n  1 -> 43 [size =\"23314432\"]\n  1 -> 44 [size =\"23314432\"]\n  2 [size=\"78845952\", alpha=\"0.00\", expect_size=\"39422976\"] \n  2 -> 37 [size =\"39422976\"]\n  2 -> 40 [size =\"39422976\"]\n  2 -> 42 [size =\"39422976\"]\n  2 -> 44 [size =\"39422976\"]\n  3 [size=\"13383680\", alpha=\"0.03\", expect_size=\"6691840\"] \n  3 -> 37 [size =\"6691840\"]\n  3 -> 40 [size =\"6691840\"]\n  3 -> 41 [size =\"6691840\"]\n  3 -> 42 [size =\"6691840\"]\n  3 -> 43 [size =\"6691840\"]\n  3 -> 44 [size =\"6691840\"]\n  4 [size=\"44720128\", alpha=\"0.15\", expect_size=\"22360064\"] \n  4 -> 37 [size =\"22360064\"]\n  4 -> 40 [size =\"22360064\"]\n  4 -> 42 [size =\"22360064\"]\n  4 -> 43 [size =\"22360064\"]\n  4 -> 44 [size =\"22360064\"]\n  5 [size=\"52766720\", alpha=\"0.13\", expect_size=\"26383360\"] \n  5 -> 37 [size =\"26383360\"]\n  5 -> 40 [size =\"26383360\"]\n  5 -> 42 [size =\"26383360\"]\n  5 -> 43 [size =\"26383360\"]\n  5 -> 44 [size =\"26383360\"]\n  6 [size=\"79835136\", alpha=\"0.06\", expect_size=\"39917568\"] \n  6 -> 38 [size =\"39917568\"]\n  6 -> 40 [size =\"39917568\"]\n  6 -> 42 [size =\"39917568\"]\n  6 -> 43 [size =\"39917568\"]\n  6 -> 44 [size =\"39917568\"]\n  7 [size=\"47194112\", alpha=\"0.12\", expect_size=\"23597056\"] \n  7 -> 37 [size =\"23597056\"]\n  7 -> 40 [size =\"23597056\"]\n  7 -> 42 [size =\"23597056\"]\n  7 -> 43 [size =\"23597056\"]\n  7 -> 44 [size =\"23597056\"]\n  7 -> 45 [size =\"23597056\"]\n  8 [size=\"60344320\", alpha=\"0.07\", expect_size=\"30172160\"] \n  8 -> 37 [size =\"30172160\"]\n  8 -> 40 [size =\"30172160\"]\n  8 -> 42 [size =\"30172160\"]\n  8 -> 43 [size =\"30172160\"]\n  8 -> 44 [size =\"30172160\"]\n  8 -> 45 [size =\"30172160\"]\n  9 [size=\"32448512\", alpha=\"0.04\", expect_size=\"16224256\"] \n  9 -> 37 [size =\"16224256\"]\n  9 -> 45 [size =\"16224256\"]\n  10 [size=\"24778752\", alpha=\"0.01\", expect_size=\"12389376\"] \n  10 -> 37 [size =\"12389376\"]\n  10 -> 40 [size =\"12389376\"]\n  10 -> 41 [size =\"12389376\"]\n  10 -> 44 [size =\"12389376\"]\n  11 [size=\"84736000\", alpha=\"0.02\", expect_size=\"42368000\"] \n  11 -> 42 [size =\"42368000\"]\n  11 -> 43 [size =\"42368000\"]\n  11 -> 44 [size =\"42368000\"]\n  12 [size=\"28231680\", alpha=\"0.06\", expect_size=\"14115840\"] \n  12 -> 43 [size =\"14115840\"]\n  12 -> 44 [size =\"14115840\"]\n  12 -> 45 [size =\"14115840\"]\n  13 [size=\"29857792\", alpha=\"0.03\", expect_size=\"14928896\"] \n  13 -> 38 [size =\"14928896\"]\n  13 -> 42 [size =\"14928896\"]\n  13 -> 43 [size =\"14928896\"]\n  13 -> 44 [size =\"14928896\"]\n  14 [size=\"42930176\", alpha=\"0.13\", expect_size=\"21465088\"] \n  14 -> 37 [size =\"21465088\"]\n  14 -> 43 [size =\"21465088\"]\n  14 -> 44 [size =\"21465088\"]\n  14 -> 45 [size =\"21465088\"]\n  15 [size=\"20178944\", alpha=\"0.01\", expect_size=\"10089472\"] \n  15 -> 37 [size =\"10089472\"]\n  15 -> 38 [size =\"10089472\"]\n  15 -> 40 [size =\"10089472\"]\n  15 -> 41 [size =\"10089472\"]\n  15 -> 42 [size =\"10089472\"]\n  15 -> 43 [size =\"10089472\"]\n  15 -> 44 [size =\"10089472\"]\n  16 [size=\"82452480\", alpha=\"0.01\", expect_size=\"41226240\"] \n  16 -> 37 [size =\"41226240\"]\n  16 -> 38 [size =\"41226240\"]\n  16 -> 40 [size =\"41226240\"]\n  16 -> 41 [size =\"41226240\"]\n  16 -> 42 [size =\"41226240\"]\n  16 -> 43 [size =\"41226240\"]\n  16 -> 44 [size =\"41226240\"]\n  16 -> 45 [size =\"41226240\"]\n  17 [size=\"18302976\", alpha=\"0.18\", expect_size=\"9151488\"] \n  17 -> 37 [size =\"9151488\"]\n  17 -> 41 [size =\"9151488\"]\n  17 -> 42 [size =\"9151488\"]\n  17 -> 44 [size =\"9151488\"]\n  17 -> 45 [size =\"9151488\"]\n  18 [size=\"74778624\", alpha=\"0.09\", expect_size=\"37389312\"] \n  18 -> 41 [size =\"37389312\"]\n  18 -> 42 [size =\"37389312\"]\n  18 -> 42 [size =\"37389312\"]\n  18 -> 43 [size =\"37389312\"]\n  18 -> 44 [size =\"37389312\"]\n  18 -> 45 [size =\"37389312\"]\n  19 [size=\"14921728\", alpha=\"0.09\", expect_size=\"7460864\"] \n  19 -> 38 [size =\"7460864\"]\n  19 -> 40 [size =\"7460864\"]\n  19 -> 41 [size =\"7460864\"]\n  19 -> 42 [size =\"7460864\"]\n  19 -> 43 [size =\"7460864\"]\n  19 -> 44 [size =\"7460864\"]\n  19 -> 45 [size =\"7460864\"]\n  20 [size=\"33773568\", alpha=\"0.06\", expect_size=\"16886784\"] \n  20 -> 38 [size =\"16886784\"]\n  20 -> 42 [size =\"16886784\"]\n  20 -> 43 [size =\"16886784\"]\n  20 -> 44 [size =\"16886784\"]\n  20 -> 45 [size =\"16886784\"]\n  21 [size=\"37572608\", alpha=\"0.11\", expect_size=\"18786304\"] \n  21 -> 37 [size =\"18786304\"]\n  21 -> 38 [size =\"18786304\"]\n  21 -> 40 [size =\"18786304\"]\n  21 -> 42 [size =\"18786304\"]\n  21 -> 43 [size =\"18786304\"]\n  21 -> 44 [size =\"18786304\"]\n  21 -> 45 [size =\"18786304\"]\n  22 [size=\"48875520\", alpha=\"0.10\", expect_size=\"24437760\"] \n  22 -> 37 [size =\"24437760\"]\n  22 -> 38 [size =\"24437760\"]\n  22 -> 40 [size =\"24437760\"]\n  22 -> 44 [size =\"24437760\"]\n  22 -> 45 [size =\"24437760\"]\n  23 [size=\"77907968\", alpha=\"0.10\", expect_size=\"38953984\"] \n  23 -> 37 [size =\"38953984\"]\n  23 -> 43 [size =\"38953984\"]\n  23 -> 44 [size =\"38953984\"]\n  23 -> 45 [size =\"38953984\"]\n  23 -> 45 [size =\"38953984\"]\n  24 [size=\"93521920\", alpha=\"0.17\", expect_size=\"46760960\"] \n  24 -> 38 [size =\"46760960\"]\n  24 -> 44 [size =\"46760960\"]\n  24 -> 45 [size =\"46760960\"]\n  24 -> 45 [size =\"46760960\"]\n  25 [size=\"59848704\", alpha=\"0.13\", expect_size=\"29924352\"] \n  25 -> 37 [size =\"29924352\"]\n  25 -> 38 [size =\"29924352\"]\n  25 -> 43 [size =\"29924352\"]\n  25 -> 45 [size =\"29924352\"]\n  26 [size=\"64000000\", alpha=\"0.04\", expect_size=\"32000000\"] \n  26 -> 37 [size =\"32000000\"]\n  26 -> 40 [size =\"32000000\"]\n  26 -> 41 [size =\"32000000\"]\n  26 -> 42 [size =\"32000000\"]\n  26 -> 43 [size =\"32000000\"]\n  26 -> 45 [size =\"32000000\"]\n  27 [size=\"68859904\", alpha=\"0.02\", expect_size=\"34429952\"] \n  27 -> 37 [size =\"34429952\"]\n  27 -> 38 [size =\"34429952\"]\n  27 -> 39 [size =\"34429952\"]\n  27 -> 43 [size =\"34429952\"]\n  27 -> 43 [size =\"34429952\"]\n  27 -> 44 [size =\"34429952\"]\n  27 -> 45 [size =\"34429952\"]\n  28 [size=\"58814464\", alpha=\"0.12\", expect_size=\"29407232\"] \n  28 -> 37 [size =\"29407232\"]\n  28 -> 38 [size =\"29407232\"]\n  28 -> 43 [size =\"29407232\"]\n  28 -> 44 [size =\"29407232\"]\n  28 -> 45 [size =\"29407232\"]\n  29 [size=\"102047744\", alpha=\"0.05\", expect_size=\"51023872\"] \n  29 -> 37 [size =\"51023872\"]\n  29 -> 38 [size =\"51023872\"]\n  29 -> 41 [size =\"51023872\"]\n  29 -> 44 [size =\"51023872\"]\n  29 -> 45 [size =\"51023872\"]\n  30 [size=\"48594944\", alpha=\"0.02\", expect_size=\"24297472\"] \n  30 -> 37 [size =\"24297472\"]\n  30 -> 40 [size =\"24297472\"]\n  30 -> 42 [size =\"24297472\"]\n  30 -> 44 [size =\"24297472\"]\n  30 -> 45 [size =\"24297472\"]\n  31 [size=\"75997184\", alpha=\"0.15\", expect_size=\"37998592\"] \n  31 -> 37 [size =\"37998592\"]\n  31 -> 38 [size =\"37998592\"]\n  31 -> 40 [size =\"37998592\"]\n  31 -> 43 [size =\"37998592\"]\n  31 -> 44 [size =\"37998592\"]\n  31 -> 45 [size =\"37998592\"]\n  32 [size=\"31651840\", alpha=\"0.11\", expect_size=\"15825920\"] \n  32 -> 37 [size =\"15825920\"]\n  32 -> 38 [size =\"15825920\"]\n  32 -> 40 [size =\"15825920\"]\n  32 -> 42 [size =\"15825920\"]\n  32 -> 43 [size =\"15825920\"]\n  32 -> 44 [size =\"15825920\"]\n  32 -> 45 [size =\"15825920\"]\n  33 [size=\"78292992\", alpha=\"0.12\", expect_size=\"39146496\"] \n  33 -> 37 [size =\"39146496\"]\n  33 -> 39 [size =\"39146496\"]\n  33 -> 40 [size =\"39146496\"]\n  33 -> 43 [size =\"39146496\"]\n  33 -> 43 [size =\"39146496\"]\n  33 -> 44 [size =\"39146496\"]\n  33 -> 45 [size =\"39146496\"]\n  34 [size=\"30074880\", alpha=\"0.19\", expect_size=\"15037440\"] \n  34 -> 37 [size =\"15037440\"]\n  34 -> 38 [size =\"15037440\"]\n  34 -> 40 [size =\"15037440\"]\n  34 -> 41 [size =\"15037440\"]\n  34 -> 42 [size =\"15037440\"]\n  34 -> 43 [size =\"15037440\"]\n  34 -> 44 [size =\"15037440\"]\n  34 -> 45 [size =\"15037440\"]\n  35 [size=\"15607808\", alpha=\"0.08\", expect_size=\"7803904\"] \n  35 -> 37 [size =\"7803904\"]\n  35 -> 40 [size =\"7803904\"]\n  35 -> 40 [size =\"7803904\"]\n  35 -> 43 [size =\"7803904\"]\n  35 -> 44 [size =\"7803904\"]\n  35 -> 45 [size =\"7803904\"]\n  36 [size=\"77172736\", alpha=\"0.13\", expect_size=\"38586368\"] \n  36 -> 38 [size =\"38586368\"]\n  36 -> 40 [size =\"38586368\"]\n  36 -> 41 [size =\"38586368\"]\n  36 -> 43 [size =\"38586368\"]\n  36 -> 45 [size =\"38586368\"]\n  36 -> 45 [size =\"38586368\"]\n  37 [size=\"95375360\", alpha=\"0.19\", expect_size=\"47687680\"] \n  38 [size=\"12554240\", alpha=\"0.19\", expect_size=\"6277120\"] \n  39 [size=\"67311616\", alpha=\"0.20\", expect_size=\"33655808\"] \n  40 [size=\"92868608\", alpha=\"0.06\", expect_size=\"46434304\"] \n  41 [size=\"103516160\", alpha=\"0.17\", expect_size=\"51758080\"] \n  42 [size=\"79134720\", alpha=\"0.17\", expect_size=\"39567360\"] \n  43 [size=\"37470208\", alpha=\"0.11\", expect_size=\"18735104\"] \n  44 [size=\"92270592\", alpha=\"0.02\", expect_size=\"46135296\"] \n  45 [size=\"87234560\", alpha=\"0.04\", expect_size=\"43617280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71700480\", alpha=\"0.03\", expect_size=\"28680192\"] \n  1 -> 2 [size =\"28680192\"]\n  2 [size=\"102643200\", alpha=\"0.16\", expect_size=\"41057280\"] \n  2 -> 3 [size =\"41057280\"]\n  3 [size=\"47488000\", alpha=\"0.16\", expect_size=\"18995200\"] \n  3 -> 4 [size =\"18995200\"]\n  4 [size=\"79237120\", alpha=\"0.03\", expect_size=\"31694848\"] \n  4 -> 5 [size =\"31694848\"]\n  5 [size=\"97008640\", alpha=\"0.00\", expect_size=\"38803456\"] \n  5 -> 6 [size =\"38803456\"]\n  6 [size=\"70743040\", alpha=\"0.09\", expect_size=\"28297216\"] \n  6 -> 7 [size =\"28297216\"]\n  7 [size=\"98885120\", alpha=\"0.02\", expect_size=\"39554048\"] \n  7 -> 8 [size =\"39554048\"]\n  8 [size=\"99786240\", alpha=\"0.04\", expect_size=\"39914496\"] \n  8 -> 9 [size =\"39914496\"]\n  9 [size=\"54325760\", alpha=\"0.06\", expect_size=\"21730304\"] \n  9 -> 10 [size =\"21730304\"]\n  10 [size=\"86382080\", alpha=\"0.13\", expect_size=\"34552832\"] \n  10 -> 11 [size =\"34552832\"]\n  11 [size=\"102172160\", alpha=\"0.07\", expect_size=\"40868864\"] \n  11 -> 12 [size =\"40868864\"]\n  12 [size=\"120637440\", alpha=\"0.19\", expect_size=\"48254976\"] \n  12 -> 13 [size =\"48254976\"]\n  13 [size=\"97047040\", alpha=\"0.20\", expect_size=\"38818816\"] \n  13 -> 14 [size =\"38818816\"]\n  14 [size=\"73879040\", alpha=\"0.11\", expect_size=\"29551616\"] \n  14 -> 15 [size =\"29551616\"]\n  15 [size=\"88903680\", alpha=\"0.19\", expect_size=\"35561472\"] \n  15 -> 16 [size =\"35561472\"]\n  16 [size=\"90255360\", alpha=\"0.19\", expect_size=\"36102144\"] \n  16 -> 17 [size =\"36102144\"]\n  17 [size=\"25674240\", alpha=\"0.01\", expect_size=\"10269696\"] \n  17 -> 18 [size =\"10269696\"]\n  18 [size=\"39009280\", alpha=\"0.08\", expect_size=\"15603712\"] \n  18 -> 19 [size =\"15603712\"]\n  19 [size=\"60602880\", alpha=\"0.02\", expect_size=\"24241152\"] \n  19 -> 20 [size =\"24241152\"]\n  20 [size=\"93593600\", alpha=\"0.07\", expect_size=\"37437440\"] \n  20 -> 21 [size =\"37437440\"]\n  21 [size=\"53007360\", alpha=\"0.03\", expect_size=\"21202944\"] \n  21 -> 22 [size =\"21202944\"]\n  22 [size=\"94469120\", alpha=\"0.13\", expect_size=\"37787648\"] \n  22 -> 23 [size =\"37787648\"]\n  23 [size=\"87385600\", alpha=\"0.10\", expect_size=\"34954240\"] \n  23 -> 24 [size =\"34954240\"]\n  24 [size=\"84769280\", alpha=\"0.17\", expect_size=\"33907712\"] \n  24 -> 25 [size =\"33907712\"]\n  25 [size=\"30272000\", alpha=\"0.19\", expect_size=\"12108800\"] \n  25 -> 26 [size =\"12108800\"]\n  26 [size=\"25904640\", alpha=\"0.11\", expect_size=\"10361856\"] \n  26 -> 27 [size =\"10361856\"]\n  27 [size=\"22912000\", alpha=\"0.17\", expect_size=\"9164800\"] \n  27 -> 28 [size =\"9164800\"]\n  28 [size=\"30067200\", alpha=\"0.18\", expect_size=\"12026880\"] \n  28 -> 29 [size =\"12026880\"]\n  29 [size=\"75655680\", alpha=\"0.06\", expect_size=\"30262272\"] \n  29 -> 30 [size =\"30262272\"]\n  30 [size=\"86622720\", alpha=\"0.06\", expect_size=\"34649088\"] \n  30 -> 31 [size =\"34649088\"]\n  31 [size=\"129789440\", alpha=\"0.01\", expect_size=\"51915776\"] \n  31 -> 32 [size =\"51915776\"]\n  32 [size=\"27824640\", alpha=\"0.15\", expect_size=\"11129856\"] \n  32 -> 33 [size =\"11129856\"]\n  33 [size=\"106188800\", alpha=\"0.03\", expect_size=\"42475520\"] \n  33 -> 34 [size =\"42475520\"]\n  34 [size=\"45373440\", alpha=\"0.01\", expect_size=\"18149376\"] \n  34 -> 35 [size =\"18149376\"]\n  35 [size=\"29473280\", alpha=\"0.12\", expect_size=\"11789312\"] \n  35 -> 36 [size =\"11789312\"]\n  36 [size=\"24424960\", alpha=\"0.16\", expect_size=\"9769984\"] \n  36 -> 37 [size =\"9769984\"]\n  37 [size=\"87869440\", alpha=\"0.02\", expect_size=\"35147776\"] \n  37 -> 38 [size =\"35147776\"]\n  38 [size=\"69652480\", alpha=\"0.13\", expect_size=\"27860992\"] \n  38 -> 39 [size =\"27860992\"]\n  39 [size=\"56458240\", alpha=\"0.11\", expect_size=\"22583296\"] \n  39 -> 40 [size =\"22583296\"]\n  40 [size=\"89500160\", alpha=\"0.04\", expect_size=\"35800064\"] \n  40 -> 41 [size =\"35800064\"]\n  41 [size=\"124096000\", alpha=\"0.03\", expect_size=\"49638400\"] \n  41 -> 42 [size =\"49638400\"]\n  42 [size=\"13378560\", alpha=\"0.15\", expect_size=\"5351424\"] \n  42 -> 43 [size =\"5351424\"]\n  43 [size=\"100807680\", alpha=\"0.01\", expect_size=\"40323072\"] \n  43 -> 44 [size =\"40323072\"]\n  44 [size=\"116431360\", alpha=\"0.18\", expect_size=\"46572544\"] \n  44 -> 45 [size =\"46572544\"]\n  45 [size=\"121026560\", alpha=\"0.19\", expect_size=\"48410624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110885547\", alpha=\"0.13\", expect_size=\"33265664\"] \n  1 -> 30 [size =\"33265664\"]\n  1 -> 31 [size =\"33265664\"]\n  1 -> 40 [size =\"33265664\"]\n  2 [size=\"34501973\", alpha=\"0.04\", expect_size=\"10350592\"] \n  2 -> 30 [size =\"10350592\"]\n  2 -> 36 [size =\"10350592\"]\n  2 -> 37 [size =\"10350592\"]\n  2 -> 39 [size =\"10350592\"]\n  3 [size=\"57367893\", alpha=\"0.14\", expect_size=\"17210368\"] \n  3 -> 29 [size =\"17210368\"]\n  3 -> 30 [size =\"17210368\"]\n  3 -> 36 [size =\"17210368\"]\n  3 -> 37 [size =\"17210368\"]\n  4 [size=\"97976320\", alpha=\"0.09\", expect_size=\"29392896\"] \n  4 -> 31 [size =\"29392896\"]\n  4 -> 36 [size =\"29392896\"]\n  4 -> 41 [size =\"29392896\"]\n  4 -> 42 [size =\"29392896\"]\n  5 [size=\"82995200\", alpha=\"0.18\", expect_size=\"24898560\"] \n  5 -> 32 [size =\"24898560\"]\n  5 -> 43 [size =\"24898560\"]\n  5 -> 44 [size =\"24898560\"]\n  6 [size=\"63856640\", alpha=\"0.09\", expect_size=\"19156992\"] \n  6 -> 30 [size =\"19156992\"]\n  6 -> 32 [size =\"19156992\"]\n  6 -> 44 [size =\"19156992\"]\n  7 [size=\"46165333\", alpha=\"0.18\", expect_size=\"13849600\"] \n  7 -> 30 [size =\"13849600\"]\n  7 -> 31 [size =\"13849600\"]\n  7 -> 42 [size =\"13849600\"]\n  7 -> 43 [size =\"13849600\"]\n  8 [size=\"98955947\", alpha=\"0.06\", expect_size=\"29686784\"] \n  8 -> 31 [size =\"29686784\"]\n  8 -> 32 [size =\"29686784\"]\n  8 -> 33 [size =\"29686784\"]\n  8 -> 37 [size =\"29686784\"]\n  8 -> 39 [size =\"29686784\"]\n  8 -> 40 [size =\"29686784\"]\n  9 [size=\"29835947\", alpha=\"0.02\", expect_size=\"8950784\"] \n  9 -> 30 [size =\"8950784\"]\n  9 -> 32 [size =\"8950784\"]\n  9 -> 39 [size =\"8950784\"]\n  9 -> 40 [size =\"8950784\"]\n  9 -> 45 [size =\"8950784\"]\n  10 [size=\"161464320\", alpha=\"0.07\", expect_size=\"48439296\"] \n  10 -> 33 [size =\"48439296\"]\n  10 -> 42 [size =\"48439296\"]\n  11 [size=\"49762987\", alpha=\"0.04\", expect_size=\"14928896\"] \n  11 -> 30 [size =\"14928896\"]\n  11 -> 31 [size =\"14928896\"]\n  11 -> 37 [size =\"14928896\"]\n  12 [size=\"150422187\", alpha=\"0.07\", expect_size=\"45126656\"] \n  12 -> 31 [size =\"45126656\"]\n  12 -> 32 [size =\"45126656\"]\n  12 -> 33 [size =\"45126656\"]\n  13 [size=\"24647680\", alpha=\"0.11\", expect_size=\"7394304\"] \n  13 -> 32 [size =\"7394304\"]\n  13 -> 34 [size =\"7394304\"]\n  13 -> 36 [size =\"7394304\"]\n  13 -> 40 [size =\"7394304\"]\n  13 -> 41 [size =\"7394304\"]\n  14 [size=\"131587413\", alpha=\"0.02\", expect_size=\"39476224\"] \n  14 -> 31 [size =\"39476224\"]\n  14 -> 37 [size =\"39476224\"]\n  14 -> 40 [size =\"39476224\"]\n  14 -> 43 [size =\"39476224\"]\n  15 [size=\"48230400\", alpha=\"0.07\", expect_size=\"14469120\"] \n  15 -> 33 [size =\"14469120\"]\n  15 -> 34 [size =\"14469120\"]\n  15 -> 37 [size =\"14469120\"]\n  16 [size=\"31074987\", alpha=\"0.03\", expect_size=\"9322496\"] \n  16 -> 30 [size =\"9322496\"]\n  16 -> 31 [size =\"9322496\"]\n  16 -> 34 [size =\"9322496\"]\n  16 -> 39 [size =\"9322496\"]\n  16 -> 42 [size =\"9322496\"]\n  17 [size=\"105448107\", alpha=\"0.14\", expect_size=\"31634432\"] \n  17 -> 32 [size =\"31634432\"]\n  17 -> 42 [size =\"31634432\"]\n  18 [size=\"92170240\", alpha=\"0.04\", expect_size=\"27651072\"] \n  18 -> 37 [size =\"27651072\"]\n  18 -> 42 [size =\"27651072\"]\n  18 -> 45 [size =\"27651072\"]\n  19 [size=\"137700693\", alpha=\"0.19\", expect_size=\"41310208\"] \n  19 -> 30 [size =\"41310208\"]\n  19 -> 31 [size =\"41310208\"]\n  19 -> 34 [size =\"41310208\"]\n  19 -> 35 [size =\"41310208\"]\n  19 -> 41 [size =\"41310208\"]\n  19 -> 42 [size =\"41310208\"]\n  20 [size=\"149807787\", alpha=\"0.05\", expect_size=\"44942336\"] \n  20 -> 34 [size =\"44942336\"]\n  20 -> 41 [size =\"44942336\"]\n  20 -> 42 [size =\"44942336\"]\n  21 [size=\"47793493\", alpha=\"0.04\", expect_size=\"14338048\"] \n  21 -> 30 [size =\"14338048\"]\n  21 -> 34 [size =\"14338048\"]\n  21 -> 38 [size =\"14338048\"]\n  21 -> 42 [size =\"14338048\"]\n  22 [size=\"81090560\", alpha=\"0.04\", expect_size=\"24327168\"] \n  22 -> 31 [size =\"24327168\"]\n  22 -> 37 [size =\"24327168\"]\n  23 [size=\"135174827\", alpha=\"0.10\", expect_size=\"40552448\"] \n  23 -> 31 [size =\"40552448\"]\n  23 -> 32 [size =\"40552448\"]\n  23 -> 37 [size =\"40552448\"]\n  23 -> 39 [size =\"40552448\"]\n  23 -> 42 [size =\"40552448\"]\n  24 [size=\"62897493\", alpha=\"0.05\", expect_size=\"18869248\"] \n  24 -> 30 [size =\"18869248\"]\n  24 -> 31 [size =\"18869248\"]\n  24 -> 32 [size =\"18869248\"]\n  24 -> 33 [size =\"18869248\"]\n  24 -> 37 [size =\"18869248\"]\n  25 [size=\"82305707\", alpha=\"0.09\", expect_size=\"24691712\"] \n  25 -> 30 [size =\"24691712\"]\n  25 -> 31 [size =\"24691712\"]\n  25 -> 37 [size =\"24691712\"]\n  25 -> 42 [size =\"24691712\"]\n  26 [size=\"139339093\", alpha=\"0.19\", expect_size=\"41801728\"] \n  26 -> 30 [size =\"41801728\"]\n  26 -> 32 [size =\"41801728\"]\n  26 -> 37 [size =\"41801728\"]\n  26 -> 40 [size =\"41801728\"]\n  26 -> 42 [size =\"41801728\"]\n  26 -> 44 [size =\"41801728\"]\n  26 -> 45 [size =\"41801728\"]\n  27 [size=\"161802240\", alpha=\"0.13\", expect_size=\"48540672\"] \n  27 -> 37 [size =\"48540672\"]\n  27 -> 40 [size =\"48540672\"]\n  27 -> 41 [size =\"48540672\"]\n  27 -> 44 [size =\"48540672\"]\n  27 -> 45 [size =\"48540672\"]\n  28 [size=\"114885973\", alpha=\"0.17\", expect_size=\"34465792\"] \n  28 -> 30 [size =\"34465792\"]\n  28 -> 31 [size =\"34465792\"]\n  28 -> 32 [size =\"34465792\"]\n  28 -> 35 [size =\"34465792\"]\n  28 -> 37 [size =\"34465792\"]\n  28 -> 39 [size =\"34465792\"]\n  29 [size=\"143930027\", alpha=\"0.03\", expect_size=\"43179008\"] \n  30 [size=\"134847147\", alpha=\"0.07\", expect_size=\"40454144\"] \n  31 [size=\"18998613\", alpha=\"0.15\", expect_size=\"5699584\"] \n  32 [size=\"47076693\", alpha=\"0.20\", expect_size=\"14123008\"] \n  33 [size=\"78820693\", alpha=\"0.05\", expect_size=\"23646208\"] \n  34 [size=\"154129067\", alpha=\"0.06\", expect_size=\"46238720\"] \n  35 [size=\"38929067\", alpha=\"0.10\", expect_size=\"11678720\"] \n  36 [size=\"113319253\", alpha=\"0.16\", expect_size=\"33995776\"] \n  37 [size=\"109103787\", alpha=\"0.13\", expect_size=\"32731136\"] \n  38 [size=\"54975147\", alpha=\"0.20\", expect_size=\"16492544\"] \n  39 [size=\"32413013\", alpha=\"0.02\", expect_size=\"9723904\"] \n  40 [size=\"53780480\", alpha=\"0.00\", expect_size=\"16134144\"] \n  41 [size=\"105779200\", alpha=\"0.03\", expect_size=\"31733760\"] \n  42 [size=\"63412907\", alpha=\"0.14\", expect_size=\"19023872\"] \n  43 [size=\"59624107\", alpha=\"0.19\", expect_size=\"17887232\"] \n  44 [size=\"101584213\", alpha=\"0.11\", expect_size=\"30475264\"] \n  45 [size=\"146121387\", alpha=\"0.11\", expect_size=\"43836416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155432960\", alpha=\"0.18\", expect_size=\"46629888\"] \n  1 -> 11 [size =\"46629888\"]\n  1 -> 13 [size =\"46629888\"]\n  1 -> 18 [size =\"46629888\"]\n  1 -> 19 [size =\"46629888\"]\n  2 [size=\"53510827\", alpha=\"0.11\", expect_size=\"16053248\"] \n  2 -> 13 [size =\"16053248\"]\n  2 -> 16 [size =\"16053248\"]\n  2 -> 18 [size =\"16053248\"]\n  2 -> 20 [size =\"16053248\"]\n  3 [size=\"79732053\", alpha=\"0.05\", expect_size=\"23919616\"] \n  3 -> 13 [size =\"23919616\"]\n  3 -> 16 [size =\"23919616\"]\n  3 -> 17 [size =\"23919616\"]\n  3 -> 18 [size =\"23919616\"]\n  3 -> 19 [size =\"23919616\"]\n  3 -> 20 [size =\"23919616\"]\n  4 [size=\"76328960\", alpha=\"0.17\", expect_size=\"22898688\"] \n  4 -> 12 [size =\"22898688\"]\n  4 -> 13 [size =\"22898688\"]\n  4 -> 14 [size =\"22898688\"]\n  4 -> 17 [size =\"22898688\"]\n  4 -> 18 [size =\"22898688\"]\n  4 -> 19 [size =\"22898688\"]\n  4 -> 20 [size =\"22898688\"]\n  5 [size=\"31146667\", alpha=\"0.07\", expect_size=\"9344000\"] \n  5 -> 13 [size =\"9344000\"]\n  5 -> 16 [size =\"9344000\"]\n  5 -> 18 [size =\"9344000\"]\n  5 -> 19 [size =\"9344000\"]\n  5 -> 20 [size =\"9344000\"]\n  6 [size=\"129396053\", alpha=\"0.08\", expect_size=\"38818816\"] \n  6 -> 10 [size =\"38818816\"]\n  6 -> 13 [size =\"38818816\"]\n  6 -> 16 [size =\"38818816\"]\n  6 -> 18 [size =\"38818816\"]\n  6 -> 19 [size =\"38818816\"]\n  6 -> 20 [size =\"38818816\"]\n  7 [size=\"118469973\", alpha=\"0.16\", expect_size=\"35540992\"] \n  7 -> 10 [size =\"35540992\"]\n  7 -> 13 [size =\"35540992\"]\n  7 -> 16 [size =\"35540992\"]\n  7 -> 17 [size =\"35540992\"]\n  7 -> 18 [size =\"35540992\"]\n  7 -> 19 [size =\"35540992\"]\n  7 -> 20 [size =\"35540992\"]\n  8 [size=\"149043200\", alpha=\"0.07\", expect_size=\"44712960\"] \n  8 -> 10 [size =\"44712960\"]\n  8 -> 12 [size =\"44712960\"]\n  8 -> 13 [size =\"44712960\"]\n  8 -> 20 [size =\"44712960\"]\n  9 [size=\"102389760\", alpha=\"0.18\", expect_size=\"30716928\"] \n  9 -> 12 [size =\"30716928\"]\n  9 -> 14 [size =\"30716928\"]\n  9 -> 15 [size =\"30716928\"]\n  9 -> 16 [size =\"30716928\"]\n  9 -> 18 [size =\"30716928\"]\n  10 [size=\"127365120\", alpha=\"0.07\", expect_size=\"38209536\"] \n  10 -> 23 [size =\"38209536\"]\n  10 -> 24 [size =\"38209536\"]\n  10 -> 25 [size =\"38209536\"]\n  10 -> 26 [size =\"38209536\"]\n  10 -> 28 [size =\"38209536\"]\n  10 -> 29 [size =\"38209536\"]\n  10 -> 31 [size =\"38209536\"]\n  10 -> 32 [size =\"38209536\"]\n  11 [size=\"62815573\", alpha=\"0.05\", expect_size=\"18844672\"] \n  11 -> 23 [size =\"18844672\"]\n  11 -> 25 [size =\"18844672\"]\n  11 -> 26 [size =\"18844672\"]\n  11 -> 28 [size =\"18844672\"]\n  11 -> 28 [size =\"18844672\"]\n  11 -> 29 [size =\"18844672\"]\n  11 -> 30 [size =\"18844672\"]\n  11 -> 31 [size =\"18844672\"]\n  12 [size=\"47704747\", alpha=\"0.13\", expect_size=\"14311424\"] \n  12 -> 22 [size =\"14311424\"]\n  12 -> 23 [size =\"14311424\"]\n  12 -> 26 [size =\"14311424\"]\n  12 -> 28 [size =\"14311424\"]\n  12 -> 30 [size =\"14311424\"]\n  13 [size=\"132454400\", alpha=\"0.18\", expect_size=\"39736320\"] \n  13 -> 25 [size =\"39736320\"]\n  13 -> 26 [size =\"39736320\"]\n  13 -> 27 [size =\"39736320\"]\n  13 -> 28 [size =\"39736320\"]\n  13 -> 30 [size =\"39736320\"]\n  13 -> 31 [size =\"39736320\"]\n  13 -> 33 [size =\"39736320\"]\n  14 [size=\"17954133\", alpha=\"0.08\", expect_size=\"5386240\"] \n  14 -> 23 [size =\"5386240\"]\n  14 -> 25 [size =\"5386240\"]\n  14 -> 26 [size =\"5386240\"]\n  14 -> 27 [size =\"5386240\"]\n  14 -> 28 [size =\"5386240\"]\n  14 -> 30 [size =\"5386240\"]\n  14 -> 32 [size =\"5386240\"]\n  14 -> 33 [size =\"5386240\"]\n  15 [size=\"150609920\", alpha=\"0.20\", expect_size=\"45182976\"] \n  15 -> 22 [size =\"45182976\"]\n  15 -> 23 [size =\"45182976\"]\n  15 -> 24 [size =\"45182976\"]\n  15 -> 25 [size =\"45182976\"]\n  15 -> 26 [size =\"45182976\"]\n  15 -> 27 [size =\"45182976\"]\n  15 -> 28 [size =\"45182976\"]\n  15 -> 30 [size =\"45182976\"]\n  15 -> 32 [size =\"45182976\"]\n  16 [size=\"51049813\", alpha=\"0.00\", expect_size=\"15314944\"] \n  16 -> 25 [size =\"15314944\"]\n  16 -> 28 [size =\"15314944\"]\n  16 -> 30 [size =\"15314944\"]\n  16 -> 31 [size =\"15314944\"]\n  16 -> 33 [size =\"15314944\"]\n  17 [size=\"113752747\", alpha=\"0.12\", expect_size=\"34125824\"] \n  17 -> 21 [size =\"34125824\"]\n  17 -> 25 [size =\"34125824\"]\n  17 -> 31 [size =\"34125824\"]\n  17 -> 33 [size =\"34125824\"]\n  18 [size=\"85620053\", alpha=\"0.03\", expect_size=\"25686016\"] \n  18 -> 21 [size =\"25686016\"]\n  18 -> 24 [size =\"25686016\"]\n  18 -> 25 [size =\"25686016\"]\n  18 -> 26 [size =\"25686016\"]\n  18 -> 27 [size =\"25686016\"]\n  18 -> 30 [size =\"25686016\"]\n  18 -> 32 [size =\"25686016\"]\n  18 -> 33 [size =\"25686016\"]\n  19 [size=\"143663787\", alpha=\"0.12\", expect_size=\"43099136\"] \n  19 -> 24 [size =\"43099136\"]\n  19 -> 24 [size =\"43099136\"]\n  19 -> 25 [size =\"43099136\"]\n  19 -> 28 [size =\"43099136\"]\n  19 -> 29 [size =\"43099136\"]\n  19 -> 30 [size =\"43099136\"]\n  19 -> 33 [size =\"43099136\"]\n  19 -> 33 [size =\"43099136\"]\n  20 [size=\"126849707\", alpha=\"0.07\", expect_size=\"38054912\"] \n  20 -> 24 [size =\"38054912\"]\n  20 -> 28 [size =\"38054912\"]\n  20 -> 29 [size =\"38054912\"]\n  20 -> 30 [size =\"38054912\"]\n  20 -> 31 [size =\"38054912\"]\n  20 -> 32 [size =\"38054912\"]\n  20 -> 33 [size =\"38054912\"]\n  21 [size=\"27473920\", alpha=\"0.19\", expect_size=\"8242176\"] \n  21 -> 35 [size =\"8242176\"]\n  21 -> 36 [size =\"8242176\"]\n  21 -> 37 [size =\"8242176\"]\n  21 -> 38 [size =\"8242176\"]\n  21 -> 39 [size =\"8242176\"]\n  21 -> 44 [size =\"8242176\"]\n  22 [size=\"69795840\", alpha=\"0.15\", expect_size=\"20938752\"] \n  22 -> 37 [size =\"20938752\"]\n  22 -> 38 [size =\"20938752\"]\n  22 -> 39 [size =\"20938752\"]\n  22 -> 40 [size =\"20938752\"]\n  22 -> 45 [size =\"20938752\"]\n  23 [size=\"174353067\", alpha=\"0.00\", expect_size=\"52305920\"] \n  23 -> 36 [size =\"52305920\"]\n  23 -> 38 [size =\"52305920\"]\n  23 -> 39 [size =\"52305920\"]\n  23 -> 40 [size =\"52305920\"]\n  24 [size=\"159590400\", alpha=\"0.12\", expect_size=\"47877120\"] \n  24 -> 34 [size =\"47877120\"]\n  24 -> 36 [size =\"47877120\"]\n  24 -> 37 [size =\"47877120\"]\n  24 -> 38 [size =\"47877120\"]\n  24 -> 40 [size =\"47877120\"]\n  24 -> 41 [size =\"47877120\"]\n  24 -> 44 [size =\"47877120\"]\n  25 [size=\"69140480\", alpha=\"0.06\", expect_size=\"20742144\"] \n  25 -> 35 [size =\"20742144\"]\n  25 -> 36 [size =\"20742144\"]\n  25 -> 37 [size =\"20742144\"]\n  25 -> 40 [size =\"20742144\"]\n  25 -> 41 [size =\"20742144\"]\n  25 -> 42 [size =\"20742144\"]\n  25 -> 44 [size =\"20742144\"]\n  26 [size=\"67816107\", alpha=\"0.14\", expect_size=\"20344832\"] \n  26 -> 34 [size =\"20344832\"]\n  26 -> 36 [size =\"20344832\"]\n  26 -> 37 [size =\"20344832\"]\n  26 -> 39 [size =\"20344832\"]\n  26 -> 40 [size =\"20344832\"]\n  26 -> 44 [size =\"20344832\"]\n  26 -> 44 [size =\"20344832\"]\n  27 [size=\"68082347\", alpha=\"0.15\", expect_size=\"20424704\"] \n  27 -> 36 [size =\"20424704\"]\n  27 -> 37 [size =\"20424704\"]\n  27 -> 37 [size =\"20424704\"]\n  27 -> 39 [size =\"20424704\"]\n  27 -> 40 [size =\"20424704\"]\n  27 -> 44 [size =\"20424704\"]\n  28 [size=\"162054827\", alpha=\"0.13\", expect_size=\"48616448\"] \n  28 -> 34 [size =\"48616448\"]\n  28 -> 36 [size =\"48616448\"]\n  28 -> 37 [size =\"48616448\"]\n  28 -> 38 [size =\"48616448\"]\n  28 -> 39 [size =\"48616448\"]\n  28 -> 40 [size =\"48616448\"]\n  28 -> 41 [size =\"48616448\"]\n  28 -> 44 [size =\"48616448\"]\n  29 [size=\"32010240\", alpha=\"0.01\", expect_size=\"9603072\"] \n  29 -> 36 [size =\"9603072\"]\n  29 -> 36 [size =\"9603072\"]\n  29 -> 37 [size =\"9603072\"]\n  29 -> 38 [size =\"9603072\"]\n  29 -> 40 [size =\"9603072\"]\n  29 -> 41 [size =\"9603072\"]\n  29 -> 42 [size =\"9603072\"]\n  29 -> 43 [size =\"9603072\"]\n  29 -> 44 [size =\"9603072\"]\n  30 [size=\"125566293\", alpha=\"0.04\", expect_size=\"37669888\"] \n  30 -> 36 [size =\"37669888\"]\n  30 -> 38 [size =\"37669888\"]\n  30 -> 39 [size =\"37669888\"]\n  30 -> 44 [size =\"37669888\"]\n  31 [size=\"19510613\", alpha=\"0.12\", expect_size=\"5853184\"] \n  31 -> 35 [size =\"5853184\"]\n  31 -> 36 [size =\"5853184\"]\n  31 -> 37 [size =\"5853184\"]\n  31 -> 38 [size =\"5853184\"]\n  31 -> 40 [size =\"5853184\"]\n  31 -> 44 [size =\"5853184\"]\n  32 [size=\"166372693\", alpha=\"0.04\", expect_size=\"49911808\"] \n  32 -> 37 [size =\"49911808\"]\n  32 -> 38 [size =\"49911808\"]\n  32 -> 39 [size =\"49911808\"]\n  32 -> 44 [size =\"49911808\"]\n  33 [size=\"130327893\", alpha=\"0.11\", expect_size=\"39098368\"] \n  33 -> 36 [size =\"39098368\"]\n  33 -> 37 [size =\"39098368\"]\n  33 -> 38 [size =\"39098368\"]\n  33 -> 44 [size =\"39098368\"]\n  34 [size=\"130925227\", alpha=\"0.18\", expect_size=\"39277568\"] \n  35 [size=\"69730987\", alpha=\"0.01\", expect_size=\"20919296\"] \n  36 [size=\"117701973\", alpha=\"0.09\", expect_size=\"35310592\"] \n  37 [size=\"72192000\", alpha=\"0.09\", expect_size=\"21657600\"] \n  38 [size=\"34194773\", alpha=\"0.18\", expect_size=\"10258432\"] \n  39 [size=\"135277227\", alpha=\"0.03\", expect_size=\"40583168\"] \n  40 [size=\"145786880\", alpha=\"0.02\", expect_size=\"43736064\"] \n  41 [size=\"18319360\", alpha=\"0.02\", expect_size=\"5495808\"] \n  42 [size=\"112793600\", alpha=\"0.09\", expect_size=\"33838080\"] \n  43 [size=\"144865280\", alpha=\"0.15\", expect_size=\"43459584\"] \n  44 [size=\"72232960\", alpha=\"0.00\", expect_size=\"21669888\"] \n  45 [size=\"52654080\", alpha=\"0.11\", expect_size=\"15796224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96222720\", alpha=\"0.10\", expect_size=\"38489088\"] \n  2 [size=\"78730240\", alpha=\"0.16\", expect_size=\"31492096\"] \n  3 [size=\"115998720\", alpha=\"0.04\", expect_size=\"46399488\"] \n  4 [size=\"53754880\", alpha=\"0.02\", expect_size=\"21501952\"] \n  5 [size=\"61509120\", alpha=\"0.05\", expect_size=\"24603648\"] \n  6 [size=\"111695360\", alpha=\"0.06\", expect_size=\"44678144\"] \n  7 [size=\"112373760\", alpha=\"0.17\", expect_size=\"44949504\"] \n  8 [size=\"45783040\", alpha=\"0.05\", expect_size=\"18313216\"] \n  9 [size=\"15173120\", alpha=\"0.06\", expect_size=\"6069248\"] \n  10 [size=\"79828480\", alpha=\"0.05\", expect_size=\"31931392\"] \n  10 -> 45 [size =\"31931392\"]\n  11 [size=\"93921280\", alpha=\"0.06\", expect_size=\"37568512\"] \n  12 [size=\"36362240\", alpha=\"0.03\", expect_size=\"14544896\"] \n  13 [size=\"130150400\", alpha=\"0.10\", expect_size=\"52060160\"] \n  14 [size=\"36275200\", alpha=\"0.18\", expect_size=\"14510080\"] \n  15 [size=\"45698560\", alpha=\"0.01\", expect_size=\"18279424\"] \n  16 [size=\"76546560\", alpha=\"0.05\", expect_size=\"30618624\"] \n  17 [size=\"112558080\", alpha=\"0.09\", expect_size=\"45023232\"] \n  18 [size=\"92692480\", alpha=\"0.18\", expect_size=\"37076992\"] \n  19 [size=\"123422720\", alpha=\"0.11\", expect_size=\"49369088\"] \n  20 [size=\"38131200\", alpha=\"0.03\", expect_size=\"15252480\"] \n  21 [size=\"70126080\", alpha=\"0.08\", expect_size=\"28050432\"] \n  22 [size=\"102632960\", alpha=\"0.05\", expect_size=\"41053184\"] \n  23 [size=\"118499840\", alpha=\"0.19\", expect_size=\"47399936\"] \n  24 [size=\"60270080\", alpha=\"0.01\", expect_size=\"24108032\"] \n  25 [size=\"48389120\", alpha=\"0.10\", expect_size=\"19355648\"] \n  26 [size=\"56276480\", alpha=\"0.16\", expect_size=\"22510592\"] \n  27 [size=\"85166080\", alpha=\"0.19\", expect_size=\"34066432\"] \n  28 [size=\"17489920\", alpha=\"0.07\", expect_size=\"6995968\"] \n  29 [size=\"121971200\", alpha=\"0.16\", expect_size=\"48788480\"] \n  30 [size=\"69529600\", alpha=\"0.16\", expect_size=\"27811840\"] \n  31 [size=\"85386240\", alpha=\"0.10\", expect_size=\"34154496\"] \n  32 [size=\"16727040\", alpha=\"0.08\", expect_size=\"6690816\"] \n  33 [size=\"47142400\", alpha=\"0.05\", expect_size=\"18856960\"] \n  33 -> 45 [size =\"18856960\"]\n  34 [size=\"43594240\", alpha=\"0.07\", expect_size=\"17437696\"] \n  35 [size=\"46732800\", alpha=\"0.14\", expect_size=\"18693120\"] \n  36 [size=\"104957440\", alpha=\"0.12\", expect_size=\"41982976\"] \n  37 [size=\"80926720\", alpha=\"0.06\", expect_size=\"32370688\"] \n  38 [size=\"73909760\", alpha=\"0.14\", expect_size=\"29563904\"] \n  39 [size=\"116584960\", alpha=\"0.01\", expect_size=\"46633984\"] \n  40 [size=\"93056000\", alpha=\"0.12\", expect_size=\"37222400\"] \n  41 [size=\"70044160\", alpha=\"0.13\", expect_size=\"28017664\"] \n  42 [size=\"128366080\", alpha=\"0.09\", expect_size=\"51346432\"] \n  43 [size=\"55347200\", alpha=\"0.03\", expect_size=\"22138880\"] \n  44 [size=\"85995520\", alpha=\"0.05\", expect_size=\"34398208\"] \n  45 [size=\"125519360\", alpha=\"0.12\", expect_size=\"50207744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27322880\", alpha=\"0.08\", expect_size=\"10929152\"] \n  1 -> 2 [size =\"10929152\"]\n  2 [size=\"69191680\", alpha=\"0.11\", expect_size=\"27676672\"] \n  2 -> 3 [size =\"27676672\"]\n  3 [size=\"66283520\", alpha=\"0.05\", expect_size=\"26513408\"] \n  3 -> 4 [size =\"26513408\"]\n  4 [size=\"67074560\", alpha=\"0.10\", expect_size=\"26829824\"] \n  4 -> 5 [size =\"26829824\"]\n  5 [size=\"57950720\", alpha=\"0.09\", expect_size=\"23180288\"] \n  5 -> 6 [size =\"23180288\"]\n  6 [size=\"19834880\", alpha=\"0.02\", expect_size=\"7933952\"] \n  6 -> 7 [size =\"7933952\"]\n  7 [size=\"34032640\", alpha=\"0.08\", expect_size=\"13613056\"] \n  7 -> 8 [size =\"13613056\"]\n  8 [size=\"33812480\", alpha=\"0.06\", expect_size=\"13524992\"] \n  8 -> 9 [size =\"13524992\"]\n  9 [size=\"78730240\", alpha=\"0.15\", expect_size=\"31492096\"] \n  9 -> 10 [size =\"31492096\"]\n  10 [size=\"90677760\", alpha=\"0.17\", expect_size=\"36271104\"] \n  10 -> 11 [size =\"36271104\"]\n  11 [size=\"64954880\", alpha=\"0.11\", expect_size=\"25981952\"] \n  11 -> 12 [size =\"25981952\"]\n  12 [size=\"112581120\", alpha=\"0.17\", expect_size=\"45032448\"] \n  12 -> 13 [size =\"45032448\"]\n  13 [size=\"57088000\", alpha=\"0.08\", expect_size=\"22835200\"] \n  13 -> 14 [size =\"22835200\"]\n  14 [size=\"88171520\", alpha=\"0.17\", expect_size=\"35268608\"] \n  14 -> 15 [size =\"35268608\"]\n  15 [size=\"26711040\", alpha=\"0.07\", expect_size=\"10684416\"] \n  15 -> 16 [size =\"10684416\"]\n  16 [size=\"78254080\", alpha=\"0.13\", expect_size=\"31301632\"] \n  16 -> 17 [size =\"31301632\"]\n  17 [size=\"90662400\", alpha=\"0.11\", expect_size=\"36264960\"] \n  17 -> 18 [size =\"36264960\"]\n  18 [size=\"21877760\", alpha=\"0.11\", expect_size=\"8751104\"] \n  18 -> 19 [size =\"8751104\"]\n  19 [size=\"58234880\", alpha=\"0.13\", expect_size=\"23293952\"] \n  19 -> 20 [size =\"23293952\"]\n  20 [size=\"27409920\", alpha=\"0.19\", expect_size=\"10963968\"] \n  20 -> 21 [size =\"10963968\"]\n  21 [size=\"129082880\", alpha=\"0.08\", expect_size=\"51633152\"] \n  21 -> 22 [size =\"51633152\"]\n  22 [size=\"78146560\", alpha=\"0.06\", expect_size=\"31258624\"] \n  22 -> 23 [size =\"31258624\"]\n  23 [size=\"58562560\", alpha=\"0.13\", expect_size=\"23425024\"] \n  23 -> 24 [size =\"23425024\"]\n  24 [size=\"103761920\", alpha=\"0.10\", expect_size=\"41504768\"] \n  24 -> 25 [size =\"41504768\"]\n  25 [size=\"85160960\", alpha=\"0.14\", expect_size=\"34064384\"] \n  25 -> 26 [size =\"34064384\"]\n  26 [size=\"126589440\", alpha=\"0.19\", expect_size=\"50635776\"] \n  26 -> 27 [size =\"50635776\"]\n  27 [size=\"86105600\", alpha=\"0.07\", expect_size=\"34442240\"] \n  27 -> 28 [size =\"34442240\"]\n  28 [size=\"34808320\", alpha=\"0.19\", expect_size=\"13923328\"] \n  28 -> 29 [size =\"13923328\"]\n  29 [size=\"101982720\", alpha=\"0.03\", expect_size=\"40793088\"] \n  29 -> 30 [size =\"40793088\"]\n  30 [size=\"60352000\", alpha=\"0.19\", expect_size=\"24140800\"] \n  30 -> 31 [size =\"24140800\"]\n  31 [size=\"55610880\", alpha=\"0.04\", expect_size=\"22244352\"] \n  31 -> 32 [size =\"22244352\"]\n  32 [size=\"101972480\", alpha=\"0.06\", expect_size=\"40788992\"] \n  32 -> 33 [size =\"40788992\"]\n  33 [size=\"19596800\", alpha=\"0.16\", expect_size=\"7838720\"] \n  33 -> 34 [size =\"7838720\"]\n  34 [size=\"97587200\", alpha=\"0.18\", expect_size=\"39034880\"] \n  34 -> 35 [size =\"39034880\"]\n  35 [size=\"36019200\", alpha=\"0.03\", expect_size=\"14407680\"] \n  35 -> 36 [size =\"14407680\"]\n  36 [size=\"115665920\", alpha=\"0.18\", expect_size=\"46266368\"] \n  36 -> 37 [size =\"46266368\"]\n  37 [size=\"107328000\", alpha=\"0.07\", expect_size=\"42931200\"] \n  37 -> 38 [size =\"42931200\"]\n  38 [size=\"31930880\", alpha=\"0.17\", expect_size=\"12772352\"] \n  38 -> 39 [size =\"12772352\"]\n  39 [size=\"28147200\", alpha=\"0.15\", expect_size=\"11258880\"] \n  39 -> 40 [size =\"11258880\"]\n  40 [size=\"43632640\", alpha=\"0.16\", expect_size=\"17453056\"] \n  40 -> 41 [size =\"17453056\"]\n  41 [size=\"38000640\", alpha=\"0.16\", expect_size=\"15200256\"] \n  41 -> 42 [size =\"15200256\"]\n  42 [size=\"63096320\", alpha=\"0.07\", expect_size=\"25238528\"] \n  42 -> 43 [size =\"25238528\"]\n  43 [size=\"100428800\", alpha=\"0.05\", expect_size=\"40171520\"] \n  43 -> 44 [size =\"40171520\"]\n  44 [size=\"76016640\", alpha=\"0.19\", expect_size=\"30406656\"] \n  44 -> 45 [size =\"30406656\"]\n  45 [size=\"64926720\", alpha=\"0.06\", expect_size=\"25970688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33916928\", alpha=\"0.16\", expect_size=\"16958464\"] \n  1 -> 15 [size =\"16958464\"]\n  1 -> 19 [size =\"16958464\"]\n  1 -> 24 [size =\"16958464\"]\n  1 -> 27 [size =\"16958464\"]\n  2 [size=\"102543360\", alpha=\"0.04\", expect_size=\"51271680\"] \n  2 -> 15 [size =\"51271680\"]\n  2 -> 19 [size =\"51271680\"]\n  2 -> 22 [size =\"51271680\"]\n  3 [size=\"33392640\", alpha=\"0.20\", expect_size=\"16696320\"] \n  3 -> 15 [size =\"16696320\"]\n  3 -> 23 [size =\"16696320\"]\n  4 [size=\"37664768\", alpha=\"0.00\", expect_size=\"18832384\"] \n  4 -> 15 [size =\"18832384\"]\n  4 -> 16 [size =\"18832384\"]\n  4 -> 21 [size =\"18832384\"]\n  4 -> 22 [size =\"18832384\"]\n  4 -> 25 [size =\"18832384\"]\n  5 [size=\"103862272\", alpha=\"0.19\", expect_size=\"51931136\"] \n  5 -> 16 [size =\"51931136\"]\n  5 -> 19 [size =\"51931136\"]\n  5 -> 22 [size =\"51931136\"]\n  5 -> 24 [size =\"51931136\"]\n  6 [size=\"100587520\", alpha=\"0.08\", expect_size=\"50293760\"] \n  6 -> 21 [size =\"50293760\"]\n  6 -> 25 [size =\"50293760\"]\n  6 -> 27 [size =\"50293760\"]\n  7 [size=\"71419904\", alpha=\"0.08\", expect_size=\"35709952\"] \n  7 -> 17 [size =\"35709952\"]\n  7 -> 21 [size =\"35709952\"]\n  7 -> 22 [size =\"35709952\"]\n  7 -> 26 [size =\"35709952\"]\n  7 -> 27 [size =\"35709952\"]\n  8 [size=\"27600896\", alpha=\"0.19\", expect_size=\"13800448\"] \n  8 -> 17 [size =\"13800448\"]\n  8 -> 21 [size =\"13800448\"]\n  8 -> 24 [size =\"13800448\"]\n  8 -> 27 [size =\"13800448\"]\n  9 [size=\"71974912\", alpha=\"0.01\", expect_size=\"35987456\"] \n  9 -> 25 [size =\"35987456\"]\n  10 [size=\"18049024\", alpha=\"0.19\", expect_size=\"9024512\"] \n  10 -> 14 [size =\"9024512\"]\n  10 -> 17 [size =\"9024512\"]\n  10 -> 18 [size =\"9024512\"]\n  10 -> 19 [size =\"9024512\"]\n  10 -> 22 [size =\"9024512\"]\n  10 -> 23 [size =\"9024512\"]\n  10 -> 25 [size =\"9024512\"]\n  11 [size=\"45000704\", alpha=\"0.08\", expect_size=\"22500352\"] \n  11 -> 15 [size =\"22500352\"]\n  11 -> 16 [size =\"22500352\"]\n  11 -> 17 [size =\"22500352\"]\n  11 -> 18 [size =\"22500352\"]\n  11 -> 19 [size =\"22500352\"]\n  11 -> 20 [size =\"22500352\"]\n  11 -> 22 [size =\"22500352\"]\n  11 -> 23 [size =\"22500352\"]\n  12 [size=\"26488832\", alpha=\"0.10\", expect_size=\"13244416\"] \n  12 -> 15 [size =\"13244416\"]\n  12 -> 16 [size =\"13244416\"]\n  12 -> 17 [size =\"13244416\"]\n  12 -> 18 [size =\"13244416\"]\n  12 -> 22 [size =\"13244416\"]\n  12 -> 23 [size =\"13244416\"]\n  12 -> 25 [size =\"13244416\"]\n  13 [size=\"46432256\", alpha=\"0.19\", expect_size=\"23216128\"] \n  13 -> 15 [size =\"23216128\"]\n  13 -> 16 [size =\"23216128\"]\n  13 -> 17 [size =\"23216128\"]\n  13 -> 18 [size =\"23216128\"]\n  13 -> 22 [size =\"23216128\"]\n  13 -> 23 [size =\"23216128\"]\n  14 [size=\"46315520\", alpha=\"0.17\", expect_size=\"23157760\"] \n  14 -> 28 [size =\"23157760\"]\n  14 -> 29 [size =\"23157760\"]\n  14 -> 32 [size =\"23157760\"]\n  14 -> 33 [size =\"23157760\"]\n  14 -> 34 [size =\"23157760\"]\n  14 -> 35 [size =\"23157760\"]\n  14 -> 39 [size =\"23157760\"]\n  14 -> 40 [size =\"23157760\"]\n  15 [size=\"46938112\", alpha=\"0.15\", expect_size=\"23469056\"] \n  15 -> 28 [size =\"23469056\"]\n  15 -> 31 [size =\"23469056\"]\n  15 -> 33 [size =\"23469056\"]\n  15 -> 35 [size =\"23469056\"]\n  15 -> 36 [size =\"23469056\"]\n  15 -> 40 [size =\"23469056\"]\n  16 [size=\"42332160\", alpha=\"0.07\", expect_size=\"21166080\"] \n  16 -> 32 [size =\"21166080\"]\n  16 -> 34 [size =\"21166080\"]\n  16 -> 35 [size =\"21166080\"]\n  16 -> 41 [size =\"21166080\"]\n  17 [size=\"79925248\", alpha=\"0.02\", expect_size=\"39962624\"] \n  17 -> 32 [size =\"39962624\"]\n  17 -> 38 [size =\"39962624\"]\n  18 [size=\"21159936\", alpha=\"0.10\", expect_size=\"10579968\"] \n  18 -> 28 [size =\"10579968\"]\n  18 -> 29 [size =\"10579968\"]\n  18 -> 31 [size =\"10579968\"]\n  18 -> 35 [size =\"10579968\"]\n  18 -> 40 [size =\"10579968\"]\n  18 -> 41 [size =\"10579968\"]\n  19 [size=\"16494592\", alpha=\"0.06\", expect_size=\"8247296\"] \n  19 -> 31 [size =\"8247296\"]\n  19 -> 34 [size =\"8247296\"]\n  19 -> 35 [size =\"8247296\"]\n  19 -> 40 [size =\"8247296\"]\n  20 [size=\"20355072\", alpha=\"0.18\", expect_size=\"10177536\"] \n  20 -> 31 [size =\"10177536\"]\n  20 -> 34 [size =\"10177536\"]\n  20 -> 38 [size =\"10177536\"]\n  20 -> 40 [size =\"10177536\"]\n  20 -> 42 [size =\"10177536\"]\n  21 [size=\"16080896\", alpha=\"0.14\", expect_size=\"8040448\"] \n  21 -> 28 [size =\"8040448\"]\n  21 -> 29 [size =\"8040448\"]\n  21 -> 30 [size =\"8040448\"]\n  21 -> 33 [size =\"8040448\"]\n  21 -> 34 [size =\"8040448\"]\n  21 -> 37 [size =\"8040448\"]\n  21 -> 38 [size =\"8040448\"]\n  21 -> 40 [size =\"8040448\"]\n  22 [size=\"53137408\", alpha=\"0.11\", expect_size=\"26568704\"] \n  22 -> 29 [size =\"26568704\"]\n  22 -> 31 [size =\"26568704\"]\n  22 -> 32 [size =\"26568704\"]\n  22 -> 33 [size =\"26568704\"]\n  22 -> 34 [size =\"26568704\"]\n  22 -> 35 [size =\"26568704\"]\n  22 -> 38 [size =\"26568704\"]\n  22 -> 40 [size =\"26568704\"]\n  22 -> 42 [size =\"26568704\"]\n  23 [size=\"98897920\", alpha=\"0.12\", expect_size=\"49448960\"] \n  23 -> 29 [size =\"49448960\"]\n  23 -> 33 [size =\"49448960\"]\n  23 -> 34 [size =\"49448960\"]\n  23 -> 35 [size =\"49448960\"]\n  23 -> 36 [size =\"49448960\"]\n  23 -> 37 [size =\"49448960\"]\n  23 -> 40 [size =\"49448960\"]\n  24 [size=\"96514048\", alpha=\"0.19\", expect_size=\"48257024\"] \n  24 -> 28 [size =\"48257024\"]\n  24 -> 30 [size =\"48257024\"]\n  24 -> 33 [size =\"48257024\"]\n  24 -> 42 [size =\"48257024\"]\n  25 [size=\"82245632\", alpha=\"0.05\", expect_size=\"41122816\"] \n  25 -> 28 [size =\"41122816\"]\n  25 -> 29 [size =\"41122816\"]\n  25 -> 31 [size =\"41122816\"]\n  25 -> 33 [size =\"41122816\"]\n  25 -> 35 [size =\"41122816\"]\n  25 -> 39 [size =\"41122816\"]\n  26 [size=\"57579520\", alpha=\"0.11\", expect_size=\"28789760\"] \n  26 -> 28 [size =\"28789760\"]\n  26 -> 31 [size =\"28789760\"]\n  26 -> 32 [size =\"28789760\"]\n  26 -> 33 [size =\"28789760\"]\n  26 -> 36 [size =\"28789760\"]\n  26 -> 41 [size =\"28789760\"]\n  26 -> 42 [size =\"28789760\"]\n  27 [size=\"92141568\", alpha=\"0.10\", expect_size=\"46070784\"] \n  27 -> 28 [size =\"46070784\"]\n  27 -> 31 [size =\"46070784\"]\n  27 -> 34 [size =\"46070784\"]\n  27 -> 35 [size =\"46070784\"]\n  27 -> 36 [size =\"46070784\"]\n  27 -> 38 [size =\"46070784\"]\n  28 [size=\"103849984\", alpha=\"0.12\", expect_size=\"51924992\"] \n  29 [size=\"54470656\", alpha=\"0.07\", expect_size=\"27235328\"] \n  30 [size=\"82180096\", alpha=\"0.04\", expect_size=\"41090048\"] \n  30 -> 43 [size =\"41090048\"]\n  30 -> 45 [size =\"41090048\"]\n  31 [size=\"71063552\", alpha=\"0.08\", expect_size=\"35531776\"] \n  31 -> 44 [size =\"35531776\"]\n  32 [size=\"44554240\", alpha=\"0.16\", expect_size=\"22277120\"] \n  33 [size=\"94707712\", alpha=\"0.11\", expect_size=\"47353856\"] \n  34 [size=\"55689216\", alpha=\"0.14\", expect_size=\"27844608\"] \n  34 -> 45 [size =\"27844608\"]\n  35 [size=\"49051648\", alpha=\"0.05\", expect_size=\"24525824\"] \n  36 [size=\"73799680\", alpha=\"0.02\", expect_size=\"36899840\"] \n  37 [size=\"31293440\", alpha=\"0.14\", expect_size=\"15646720\"] \n  37 -> 44 [size =\"15646720\"]\n  38 [size=\"76840960\", alpha=\"0.08\", expect_size=\"38420480\"] \n  38 -> 43 [size =\"38420480\"]\n  39 [size=\"38811648\", alpha=\"0.04\", expect_size=\"19405824\"] \n  39 -> 43 [size =\"19405824\"]\n  40 [size=\"73072640\", alpha=\"0.02\", expect_size=\"36536320\"] \n  41 [size=\"92811264\", alpha=\"0.00\", expect_size=\"46405632\"] \n  41 -> 43 [size =\"46405632\"]\n  42 [size=\"38174720\", alpha=\"0.08\", expect_size=\"19087360\"] \n  42 -> 43 [size =\"19087360\"]\n  42 -> 44 [size =\"19087360\"]\n  43 [size=\"19535872\", alpha=\"0.15\", expect_size=\"9767936\"] \n  44 [size=\"72845312\", alpha=\"0.20\", expect_size=\"36422656\"] \n  45 [size=\"45187072\", alpha=\"0.20\", expect_size=\"22593536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82741248\", alpha=\"0.10\", expect_size=\"41370624\"] \n  2 [size=\"61044736\", alpha=\"0.06\", expect_size=\"30522368\"] \n  3 [size=\"69093376\", alpha=\"0.16\", expect_size=\"34546688\"] \n  3 -> 4 [size =\"34546688\"]\n  4 [size=\"40077312\", alpha=\"0.05\", expect_size=\"20038656\"] \n  4 -> 5 [size =\"20038656\"]\n  5 [size=\"100509696\", alpha=\"0.05\", expect_size=\"50254848\"] \n  5 -> 6 [size =\"50254848\"]\n  5 -> 7 [size =\"50254848\"]\n  6 [size=\"45756416\", alpha=\"0.03\", expect_size=\"22878208\"] \n  6 -> 9 [size =\"22878208\"]\n  7 [size=\"47521792\", alpha=\"0.07\", expect_size=\"23760896\"] \n  7 -> 8 [size =\"23760896\"]\n  7 -> 10 [size =\"23760896\"]\n  8 [size=\"35452928\", alpha=\"0.13\", expect_size=\"17726464\"] \n  8 -> 11 [size =\"17726464\"]\n  8 -> 12 [size =\"17726464\"]\n  8 -> 13 [size =\"17726464\"]\n  8 -> 14 [size =\"17726464\"]\n  9 [size=\"62932992\", alpha=\"0.20\", expect_size=\"31466496\"] \n  10 [size=\"101982208\", alpha=\"0.18\", expect_size=\"50991104\"] \n  10 -> 11 [size =\"50991104\"]\n  10 -> 13 [size =\"50991104\"]\n  11 [size=\"38131712\", alpha=\"0.13\", expect_size=\"19065856\"] \n  12 [size=\"84379648\", alpha=\"0.13\", expect_size=\"42189824\"] \n  13 [size=\"19904512\", alpha=\"0.08\", expect_size=\"9952256\"] \n  14 [size=\"97136640\", alpha=\"0.06\", expect_size=\"48568320\"] \n  14 -> 15 [size =\"48568320\"]\n  15 [size=\"25952256\", alpha=\"0.07\", expect_size=\"12976128\"] \n  15 -> 16 [size =\"12976128\"]\n  16 [size=\"50487296\", alpha=\"0.19\", expect_size=\"25243648\"] \n  16 -> 17 [size =\"25243648\"]\n  16 -> 18 [size =\"25243648\"]\n  17 [size=\"63129600\", alpha=\"0.13\", expect_size=\"31564800\"] \n  17 -> 19 [size =\"31564800\"]\n  17 -> 20 [size =\"31564800\"]\n  17 -> 21 [size =\"31564800\"]\n  17 -> 22 [size =\"31564800\"]\n  18 [size=\"94330880\", alpha=\"0.02\", expect_size=\"47165440\"] \n  18 -> 20 [size =\"47165440\"]\n  18 -> 21 [size =\"47165440\"]\n  18 -> 22 [size =\"47165440\"]\n  19 [size=\"60041216\", alpha=\"0.09\", expect_size=\"30020608\"] \n  19 -> 24 [size =\"30020608\"]\n  19 -> 25 [size =\"30020608\"]\n  20 [size=\"58628096\", alpha=\"0.02\", expect_size=\"29314048\"] \n  20 -> 25 [size =\"29314048\"]\n  21 [size=\"48521216\", alpha=\"0.11\", expect_size=\"24260608\"] \n  21 -> 23 [size =\"24260608\"]\n  22 [size=\"15771648\", alpha=\"0.10\", expect_size=\"7885824\"] \n  22 -> 23 [size =\"7885824\"]\n  22 -> 24 [size =\"7885824\"]\n  23 [size=\"76034048\", alpha=\"0.02\", expect_size=\"38017024\"] \n  23 -> 26 [size =\"38017024\"]\n  24 [size=\"18808832\", alpha=\"0.20\", expect_size=\"9404416\"] \n  25 [size=\"48805888\", alpha=\"0.17\", expect_size=\"24402944\"] \n  25 -> 27 [size =\"24402944\"]\n  26 [size=\"80513024\", alpha=\"0.02\", expect_size=\"40256512\"] \n  26 -> 29 [size =\"40256512\"]\n  27 [size=\"77281280\", alpha=\"0.14\", expect_size=\"38640640\"] \n  27 -> 28 [size =\"38640640\"]\n  28 [size=\"44746752\", alpha=\"0.12\", expect_size=\"22373376\"] \n  28 -> 30 [size =\"22373376\"]\n  28 -> 33 [size =\"22373376\"]\n  29 [size=\"54122496\", alpha=\"0.01\", expect_size=\"27061248\"] \n  29 -> 31 [size =\"27061248\"]\n  29 -> 32 [size =\"27061248\"]\n  29 -> 33 [size =\"27061248\"]\n  30 [size=\"94361600\", alpha=\"0.09\", expect_size=\"47180800\"] \n  30 -> 34 [size =\"47180800\"]\n  30 -> 35 [size =\"47180800\"]\n  31 [size=\"103383040\", alpha=\"0.04\", expect_size=\"51691520\"] \n  31 -> 34 [size =\"51691520\"]\n  32 [size=\"59076608\", alpha=\"0.13\", expect_size=\"29538304\"] \n  32 -> 35 [size =\"29538304\"]\n  33 [size=\"11997184\", alpha=\"0.05\", expect_size=\"5998592\"] \n  34 [size=\"20756480\", alpha=\"0.15\", expect_size=\"10378240\"] \n  34 -> 37 [size =\"10378240\"]\n  35 [size=\"20578304\", alpha=\"0.09\", expect_size=\"10289152\"] \n  35 -> 36 [size =\"10289152\"]\n  35 -> 37 [size =\"10289152\"]\n  36 [size=\"101482496\", alpha=\"0.11\", expect_size=\"50741248\"] \n  36 -> 39 [size =\"50741248\"]\n  37 [size=\"15630336\", alpha=\"0.04\", expect_size=\"7815168\"] \n  37 -> 38 [size =\"7815168\"]\n  37 -> 39 [size =\"7815168\"]\n  38 [size=\"83169280\", alpha=\"0.15\", expect_size=\"41584640\"] \n  38 -> 41 [size =\"41584640\"]\n  38 -> 42 [size =\"41584640\"]\n  39 [size=\"45957120\", alpha=\"0.16\", expect_size=\"22978560\"] \n  39 -> 40 [size =\"22978560\"]\n  39 -> 42 [size =\"22978560\"]\n  39 -> 43 [size =\"22978560\"]\n  40 [size=\"50810880\", alpha=\"0.08\", expect_size=\"25405440\"] \n  40 -> 44 [size =\"25405440\"]\n  41 [size=\"94859264\", alpha=\"0.07\", expect_size=\"47429632\"] \n  42 [size=\"17002496\", alpha=\"0.08\", expect_size=\"8501248\"] \n  43 [size=\"79882240\", alpha=\"0.03\", expect_size=\"39941120\"] \n  43 -> 45 [size =\"39941120\"]\n  44 [size=\"104175616\", alpha=\"0.19\", expect_size=\"52087808\"] \n  45 [size=\"82161664\", alpha=\"0.04\", expect_size=\"41080832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45591893\", alpha=\"0.01\", expect_size=\"13677568\"] \n  1 -> 2 [size =\"13677568\"]\n  2 [size=\"113892693\", alpha=\"0.02\", expect_size=\"34167808\"] \n  2 -> 3 [size =\"34167808\"]\n  3 [size=\"98409813\", alpha=\"0.11\", expect_size=\"29522944\"] \n  3 -> 4 [size =\"29522944\"]\n  4 [size=\"133539840\", alpha=\"0.12\", expect_size=\"40061952\"] \n  4 -> 5 [size =\"40061952\"]\n  5 [size=\"160034133\", alpha=\"0.12\", expect_size=\"48010240\"] \n  5 -> 6 [size =\"48010240\"]\n  6 [size=\"166901760\", alpha=\"0.09\", expect_size=\"50070528\"] \n  6 -> 7 [size =\"50070528\"]\n  7 [size=\"82148693\", alpha=\"0.07\", expect_size=\"24644608\"] \n  7 -> 8 [size =\"24644608\"]\n  8 [size=\"72338773\", alpha=\"0.20\", expect_size=\"21701632\"] \n  8 -> 9 [size =\"21701632\"]\n  9 [size=\"85486933\", alpha=\"0.03\", expect_size=\"25646080\"] \n  9 -> 10 [size =\"25646080\"]\n  10 [size=\"140936533\", alpha=\"0.09\", expect_size=\"42280960\"] \n  10 -> 11 [size =\"42280960\"]\n  11 [size=\"114759680\", alpha=\"0.11\", expect_size=\"34427904\"] \n  11 -> 12 [size =\"34427904\"]\n  12 [size=\"119883093\", alpha=\"0.17\", expect_size=\"35964928\"] \n  12 -> 13 [size =\"35964928\"]\n  13 [size=\"137902080\", alpha=\"0.16\", expect_size=\"41370624\"] \n  13 -> 14 [size =\"41370624\"]\n  14 [size=\"66727253\", alpha=\"0.09\", expect_size=\"20018176\"] \n  14 -> 15 [size =\"20018176\"]\n  15 [size=\"163846827\", alpha=\"0.07\", expect_size=\"49154048\"] \n  15 -> 16 [size =\"49154048\"]\n  16 [size=\"101754880\", alpha=\"0.05\", expect_size=\"30526464\"] \n  16 -> 17 [size =\"30526464\"]\n  17 [size=\"172339200\", alpha=\"0.14\", expect_size=\"51701760\"] \n  17 -> 18 [size =\"51701760\"]\n  18 [size=\"70246400\", alpha=\"0.12\", expect_size=\"21073920\"] \n  18 -> 19 [size =\"21073920\"]\n  19 [size=\"69061973\", alpha=\"0.14\", expect_size=\"20718592\"] \n  19 -> 20 [size =\"20718592\"]\n  20 [size=\"96450560\", alpha=\"0.13\", expect_size=\"28935168\"] \n  20 -> 21 [size =\"28935168\"]\n  21 [size=\"166963200\", alpha=\"0.16\", expect_size=\"50088960\"] \n  21 -> 22 [size =\"50088960\"]\n  22 [size=\"96877227\", alpha=\"0.11\", expect_size=\"29063168\"] \n  22 -> 23 [size =\"29063168\"]\n  23 [size=\"76339200\", alpha=\"0.16\", expect_size=\"22901760\"] \n  23 -> 24 [size =\"22901760\"]\n  24 [size=\"42093227\", alpha=\"0.16\", expect_size=\"12627968\"] \n  24 -> 25 [size =\"12627968\"]\n  25 [size=\"116118187\", alpha=\"0.14\", expect_size=\"34835456\"] \n  25 -> 26 [size =\"34835456\"]\n  26 [size=\"174025387\", alpha=\"0.11\", expect_size=\"52207616\"] \n  26 -> 27 [size =\"52207616\"]\n  27 [size=\"55009280\", alpha=\"0.16\", expect_size=\"16502784\"] \n  27 -> 28 [size =\"16502784\"]\n  28 [size=\"167570773\", alpha=\"0.09\", expect_size=\"50271232\"] \n  28 -> 29 [size =\"50271232\"]\n  29 [size=\"104741547\", alpha=\"0.10\", expect_size=\"31422464\"] \n  29 -> 30 [size =\"31422464\"]\n  30 [size=\"58368000\", alpha=\"0.06\", expect_size=\"17510400\"] \n  30 -> 31 [size =\"17510400\"]\n  31 [size=\"161931947\", alpha=\"0.15\", expect_size=\"48579584\"] \n  31 -> 32 [size =\"48579584\"]\n  32 [size=\"128979627\", alpha=\"0.17\", expect_size=\"38693888\"] \n  32 -> 33 [size =\"38693888\"]\n  33 [size=\"55924053\", alpha=\"0.14\", expect_size=\"16777216\"] \n  33 -> 34 [size =\"16777216\"]\n  34 [size=\"23702187\", alpha=\"0.18\", expect_size=\"7110656\"] \n  34 -> 35 [size =\"7110656\"]\n  35 [size=\"148377600\", alpha=\"0.00\", expect_size=\"44513280\"] \n  35 -> 36 [size =\"44513280\"]\n  36 [size=\"100655787\", alpha=\"0.13\", expect_size=\"30196736\"] \n  36 -> 37 [size =\"30196736\"]\n  37 [size=\"29962240\", alpha=\"0.06\", expect_size=\"8988672\"] \n  37 -> 38 [size =\"8988672\"]\n  38 [size=\"158255787\", alpha=\"0.05\", expect_size=\"47476736\"] \n  38 -> 39 [size =\"47476736\"]\n  39 [size=\"68549973\", alpha=\"0.11\", expect_size=\"20564992\"] \n  39 -> 40 [size =\"20564992\"]\n  40 [size=\"143421440\", alpha=\"0.07\", expect_size=\"43026432\"] \n  40 -> 41 [size =\"43026432\"]\n  41 [size=\"34474667\", alpha=\"0.02\", expect_size=\"10342400\"] \n  41 -> 42 [size =\"10342400\"]\n  42 [size=\"153569280\", alpha=\"0.07\", expect_size=\"46070784\"] \n  42 -> 43 [size =\"46070784\"]\n  43 [size=\"131256320\", alpha=\"0.19\", expect_size=\"39376896\"] \n  43 -> 44 [size =\"39376896\"]\n  44 [size=\"87958187\", alpha=\"0.15\", expect_size=\"26387456\"] \n  44 -> 45 [size =\"26387456\"]\n  45 [size=\"72929280\", alpha=\"0.03\", expect_size=\"21878784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77660160\", alpha=\"0.09\", expect_size=\"38830080\"] \n  1 -> 7 [size =\"38830080\"]\n  1 -> 9 [size =\"38830080\"]\n  2 [size=\"95211520\", alpha=\"0.16\", expect_size=\"47605760\"] \n  2 -> 7 [size =\"47605760\"]\n  2 -> 9 [size =\"47605760\"]\n  3 [size=\"81647616\", alpha=\"0.19\", expect_size=\"40823808\"] \n  3 -> 10 [size =\"40823808\"]\n  3 -> 11 [size =\"40823808\"]\n  4 [size=\"19791872\", alpha=\"0.01\", expect_size=\"9895936\"] \n  4 -> 10 [size =\"9895936\"]\n  4 -> 11 [size =\"9895936\"]\n  5 [size=\"77479936\", alpha=\"0.09\", expect_size=\"38739968\"] \n  5 -> 8 [size =\"38739968\"]\n  5 -> 9 [size =\"38739968\"]\n  5 -> 11 [size =\"38739968\"]\n  6 [size=\"80193536\", alpha=\"0.02\", expect_size=\"40096768\"] \n  6 -> 9 [size =\"40096768\"]\n  7 [size=\"67520512\", alpha=\"0.03\", expect_size=\"33760256\"] \n  7 -> 13 [size =\"33760256\"]\n  7 -> 14 [size =\"33760256\"]\n  7 -> 15 [size =\"33760256\"]\n  8 [size=\"30695424\", alpha=\"0.08\", expect_size=\"15347712\"] \n  8 -> 13 [size =\"15347712\"]\n  8 -> 16 [size =\"15347712\"]\n  9 [size=\"51933184\", alpha=\"0.05\", expect_size=\"25966592\"] \n  9 -> 12 [size =\"25966592\"]\n  9 -> 13 [size =\"25966592\"]\n  9 -> 15 [size =\"25966592\"]\n  9 -> 16 [size =\"25966592\"]\n  10 [size=\"76208128\", alpha=\"0.00\", expect_size=\"38104064\"] \n  10 -> 14 [size =\"38104064\"]\n  10 -> 16 [size =\"38104064\"]\n  11 [size=\"68499456\", alpha=\"0.16\", expect_size=\"34249728\"] \n  11 -> 14 [size =\"34249728\"]\n  11 -> 15 [size =\"34249728\"]\n  12 [size=\"16875520\", alpha=\"0.08\", expect_size=\"8437760\"] \n  12 -> 18 [size =\"8437760\"]\n  12 -> 19 [size =\"8437760\"]\n  12 -> 20 [size =\"8437760\"]\n  12 -> 21 [size =\"8437760\"]\n  13 [size=\"93663232\", alpha=\"0.19\", expect_size=\"46831616\"] \n  13 -> 17 [size =\"46831616\"]\n  13 -> 19 [size =\"46831616\"]\n  13 -> 20 [size =\"46831616\"]\n  14 [size=\"90191872\", alpha=\"0.17\", expect_size=\"45095936\"] \n  14 -> 19 [size =\"45095936\"]\n  15 [size=\"94627840\", alpha=\"0.14\", expect_size=\"47313920\"] \n  15 -> 17 [size =\"47313920\"]\n  15 -> 21 [size =\"47313920\"]\n  16 [size=\"44292096\", alpha=\"0.15\", expect_size=\"22146048\"] \n  16 -> 18 [size =\"22146048\"]\n  16 -> 20 [size =\"22146048\"]\n  17 [size=\"52738048\", alpha=\"0.18\", expect_size=\"26369024\"] \n  17 -> 25 [size =\"26369024\"]\n  18 [size=\"69113856\", alpha=\"0.13\", expect_size=\"34556928\"] \n  18 -> 25 [size =\"34556928\"]\n  18 -> 27 [size =\"34556928\"]\n  19 [size=\"14194688\", alpha=\"0.13\", expect_size=\"7097344\"] \n  19 -> 22 [size =\"7097344\"]\n  19 -> 23 [size =\"7097344\"]\n  19 -> 24 [size =\"7097344\"]\n  19 -> 25 [size =\"7097344\"]\n  19 -> 27 [size =\"7097344\"]\n  20 [size=\"39092224\", alpha=\"0.11\", expect_size=\"19546112\"] \n  20 -> 22 [size =\"19546112\"]\n  20 -> 24 [size =\"19546112\"]\n  21 [size=\"39227392\", alpha=\"0.04\", expect_size=\"19613696\"] \n  21 -> 24 [size =\"19613696\"]\n  21 -> 26 [size =\"19613696\"]\n  22 [size=\"19542016\", alpha=\"0.14\", expect_size=\"9771008\"] \n  22 -> 28 [size =\"9771008\"]\n  23 [size=\"55277568\", alpha=\"0.20\", expect_size=\"27638784\"] \n  23 -> 28 [size =\"27638784\"]\n  24 [size=\"50028544\", alpha=\"0.07\", expect_size=\"25014272\"] \n  24 -> 28 [size =\"25014272\"]\n  25 [size=\"36282368\", alpha=\"0.09\", expect_size=\"18141184\"] \n  25 -> 28 [size =\"18141184\"]\n  25 -> 29 [size =\"18141184\"]\n  25 -> 31 [size =\"18141184\"]\n  26 [size=\"102184960\", alpha=\"0.06\", expect_size=\"51092480\"] \n  26 -> 29 [size =\"51092480\"]\n  26 -> 30 [size =\"51092480\"]\n  27 [size=\"77045760\", alpha=\"0.15\", expect_size=\"38522880\"] \n  27 -> 29 [size =\"38522880\"]\n  27 -> 31 [size =\"38522880\"]\n  27 -> 32 [size =\"38522880\"]\n  28 [size=\"68982784\", alpha=\"0.07\", expect_size=\"34491392\"] \n  28 -> 35 [size =\"34491392\"]\n  29 [size=\"37808128\", alpha=\"0.09\", expect_size=\"18904064\"] \n  29 -> 33 [size =\"18904064\"]\n  29 -> 37 [size =\"18904064\"]\n  29 -> 38 [size =\"18904064\"]\n  30 [size=\"96835584\", alpha=\"0.05\", expect_size=\"48417792\"] \n  30 -> 33 [size =\"48417792\"]\n  30 -> 34 [size =\"48417792\"]\n  30 -> 35 [size =\"48417792\"]\n  30 -> 36 [size =\"48417792\"]\n  31 [size=\"53874688\", alpha=\"0.13\", expect_size=\"26937344\"] \n  31 -> 37 [size =\"26937344\"]\n  32 [size=\"70477824\", alpha=\"0.02\", expect_size=\"35238912\"] \n  33 [size=\"42625024\", alpha=\"0.09\", expect_size=\"21312512\"] \n  33 -> 39 [size =\"21312512\"]\n  33 -> 40 [size =\"21312512\"]\n  33 -> 42 [size =\"21312512\"]\n  34 [size=\"41478144\", alpha=\"0.13\", expect_size=\"20739072\"] \n  34 -> 39 [size =\"20739072\"]\n  34 -> 41 [size =\"20739072\"]\n  35 [size=\"76347392\", alpha=\"0.15\", expect_size=\"38173696\"] \n  35 -> 39 [size =\"38173696\"]\n  35 -> 44 [size =\"38173696\"]\n  36 [size=\"25485312\", alpha=\"0.04\", expect_size=\"12742656\"] \n  36 -> 43 [size =\"12742656\"]\n  37 [size=\"52969472\", alpha=\"0.01\", expect_size=\"26484736\"] \n  37 -> 41 [size =\"26484736\"]\n  38 [size=\"27097088\", alpha=\"0.12\", expect_size=\"13548544\"] \n  38 -> 40 [size =\"13548544\"]\n  38 -> 44 [size =\"13548544\"]\n  39 [size=\"62447616\", alpha=\"0.03\", expect_size=\"31223808\"] \n  40 [size=\"11724800\", alpha=\"0.20\", expect_size=\"5862400\"] \n  41 [size=\"35026944\", alpha=\"0.03\", expect_size=\"17513472\"] \n  42 [size=\"95995904\", alpha=\"0.08\", expect_size=\"47997952\"] \n  42 -> 45 [size =\"47997952\"]\n  43 [size=\"12279808\", alpha=\"0.03\", expect_size=\"6139904\"] \n  44 [size=\"55795712\", alpha=\"0.06\", expect_size=\"27897856\"] \n  45 [size=\"23140352\", alpha=\"0.14\", expect_size=\"11570176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30609408\", alpha=\"0.04\", expect_size=\"15304704\"] \n  1 -> 20 [size =\"15304704\"]\n  1 -> 22 [size =\"15304704\"]\n  1 -> 23 [size =\"15304704\"]\n  1 -> 24 [size =\"15304704\"]\n  1 -> 25 [size =\"15304704\"]\n  2 [size=\"41340928\", alpha=\"0.18\", expect_size=\"20670464\"] \n  2 -> 18 [size =\"20670464\"]\n  2 -> 23 [size =\"20670464\"]\n  2 -> 24 [size =\"20670464\"]\n  2 -> 25 [size =\"20670464\"]\n  3 [size=\"86747136\", alpha=\"0.04\", expect_size=\"43373568\"] \n  3 -> 23 [size =\"43373568\"]\n  4 [size=\"28405760\", alpha=\"0.13\", expect_size=\"14202880\"] \n  4 -> 24 [size =\"14202880\"]\n  5 [size=\"98048000\", alpha=\"0.10\", expect_size=\"49024000\"] \n  5 -> 18 [size =\"49024000\"]\n  5 -> 24 [size =\"49024000\"]\n  6 [size=\"32430080\", alpha=\"0.06\", expect_size=\"16215040\"] \n  6 -> 17 [size =\"16215040\"]\n  6 -> 23 [size =\"16215040\"]\n  6 -> 25 [size =\"16215040\"]\n  6 -> 26 [size =\"16215040\"]\n  7 [size=\"33927168\", alpha=\"0.04\", expect_size=\"16963584\"] \n  7 -> 17 [size =\"16963584\"]\n  7 -> 18 [size =\"16963584\"]\n  7 -> 20 [size =\"16963584\"]\n  8 [size=\"56983552\", alpha=\"0.10\", expect_size=\"28491776\"] \n  8 -> 17 [size =\"28491776\"]\n  8 -> 18 [size =\"28491776\"]\n  8 -> 19 [size =\"28491776\"]\n  9 [size=\"92098560\", alpha=\"0.19\", expect_size=\"46049280\"] \n  9 -> 17 [size =\"46049280\"]\n  9 -> 18 [size =\"46049280\"]\n  9 -> 21 [size =\"46049280\"]\n  9 -> 22 [size =\"46049280\"]\n  9 -> 23 [size =\"46049280\"]\n  9 -> 24 [size =\"46049280\"]\n  10 [size=\"72370176\", alpha=\"0.16\", expect_size=\"36185088\"] \n  10 -> 17 [size =\"36185088\"]\n  10 -> 18 [size =\"36185088\"]\n  10 -> 23 [size =\"36185088\"]\n  10 -> 24 [size =\"36185088\"]\n  11 [size=\"57370624\", alpha=\"0.20\", expect_size=\"28685312\"] \n  11 -> 17 [size =\"28685312\"]\n  11 -> 18 [size =\"28685312\"]\n  11 -> 24 [size =\"28685312\"]\n  12 [size=\"74905600\", alpha=\"0.10\", expect_size=\"37452800\"] \n  12 -> 17 [size =\"37452800\"]\n  12 -> 23 [size =\"37452800\"]\n  13 [size=\"63729664\", alpha=\"0.06\", expect_size=\"31864832\"] \n  13 -> 17 [size =\"31864832\"]\n  13 -> 25 [size =\"31864832\"]\n  13 -> 26 [size =\"31864832\"]\n  14 [size=\"82700288\", alpha=\"0.02\", expect_size=\"41350144\"] \n  14 -> 17 [size =\"41350144\"]\n  14 -> 20 [size =\"41350144\"]\n  14 -> 26 [size =\"41350144\"]\n  15 [size=\"51953664\", alpha=\"0.02\", expect_size=\"25976832\"] \n  15 -> 17 [size =\"25976832\"]\n  15 -> 24 [size =\"25976832\"]\n  16 [size=\"97847296\", alpha=\"0.15\", expect_size=\"48923648\"] \n  16 -> 17 [size =\"48923648\"]\n  16 -> 22 [size =\"48923648\"]\n  16 -> 25 [size =\"48923648\"]\n  17 [size=\"33677312\", alpha=\"0.20\", expect_size=\"16838656\"] \n  17 -> 31 [size =\"16838656\"]\n  17 -> 33 [size =\"16838656\"]\n  17 -> 35 [size =\"16838656\"]\n  17 -> 36 [size =\"16838656\"]\n  17 -> 37 [size =\"16838656\"]\n  17 -> 38 [size =\"16838656\"]\n  17 -> 42 [size =\"16838656\"]\n  18 [size=\"52549632\", alpha=\"0.10\", expect_size=\"26274816\"] \n  18 -> 31 [size =\"26274816\"]\n  18 -> 33 [size =\"26274816\"]\n  18 -> 37 [size =\"26274816\"]\n  18 -> 39 [size =\"26274816\"]\n  19 [size=\"99549184\", alpha=\"0.16\", expect_size=\"49774592\"] \n  19 -> 33 [size =\"49774592\"]\n  19 -> 33 [size =\"49774592\"]\n  19 -> 35 [size =\"49774592\"]\n  19 -> 42 [size =\"49774592\"]\n  20 [size=\"94777344\", alpha=\"0.03\", expect_size=\"47388672\"] \n  20 -> 27 [size =\"47388672\"]\n  20 -> 31 [size =\"47388672\"]\n  20 -> 32 [size =\"47388672\"]\n  20 -> 35 [size =\"47388672\"]\n  20 -> 36 [size =\"47388672\"]\n  20 -> 37 [size =\"47388672\"]\n  20 -> 39 [size =\"47388672\"]\n  20 -> 40 [size =\"47388672\"]\n  21 [size=\"74041344\", alpha=\"0.15\", expect_size=\"37020672\"] \n  21 -> 27 [size =\"37020672\"]\n  21 -> 31 [size =\"37020672\"]\n  21 -> 32 [size =\"37020672\"]\n  21 -> 35 [size =\"37020672\"]\n  21 -> 36 [size =\"37020672\"]\n  21 -> 37 [size =\"37020672\"]\n  21 -> 38 [size =\"37020672\"]\n  21 -> 39 [size =\"37020672\"]\n  21 -> 40 [size =\"37020672\"]\n  21 -> 42 [size =\"37020672\"]\n  22 [size=\"72130560\", alpha=\"0.13\", expect_size=\"36065280\"] \n  22 -> 28 [size =\"36065280\"]\n  22 -> 30 [size =\"36065280\"]\n  22 -> 31 [size =\"36065280\"]\n  22 -> 32 [size =\"36065280\"]\n  22 -> 38 [size =\"36065280\"]\n  22 -> 40 [size =\"36065280\"]\n  23 [size=\"25856000\", alpha=\"0.07\", expect_size=\"12928000\"] \n  23 -> 27 [size =\"12928000\"]\n  23 -> 30 [size =\"12928000\"]\n  23 -> 32 [size =\"12928000\"]\n  23 -> 35 [size =\"12928000\"]\n  23 -> 36 [size =\"12928000\"]\n  23 -> 38 [size =\"12928000\"]\n  23 -> 40 [size =\"12928000\"]\n  23 -> 41 [size =\"12928000\"]\n  24 [size=\"52944896\", alpha=\"0.06\", expect_size=\"26472448\"] \n  24 -> 31 [size =\"26472448\"]\n  24 -> 38 [size =\"26472448\"]\n  24 -> 39 [size =\"26472448\"]\n  24 -> 40 [size =\"26472448\"]\n  24 -> 41 [size =\"26472448\"]\n  25 [size=\"60921856\", alpha=\"0.02\", expect_size=\"30460928\"] \n  25 -> 27 [size =\"30460928\"]\n  25 -> 29 [size =\"30460928\"]\n  25 -> 32 [size =\"30460928\"]\n  25 -> 33 [size =\"30460928\"]\n  25 -> 34 [size =\"30460928\"]\n  25 -> 35 [size =\"30460928\"]\n  25 -> 36 [size =\"30460928\"]\n  25 -> 37 [size =\"30460928\"]\n  25 -> 38 [size =\"30460928\"]\n  25 -> 39 [size =\"30460928\"]\n  25 -> 40 [size =\"30460928\"]\n  25 -> 42 [size =\"30460928\"]\n  26 [size=\"68171776\", alpha=\"0.04\", expect_size=\"34085888\"] \n  26 -> 32 [size =\"34085888\"]\n  26 -> 33 [size =\"34085888\"]\n  26 -> 37 [size =\"34085888\"]\n  26 -> 38 [size =\"34085888\"]\n  26 -> 39 [size =\"34085888\"]\n  26 -> 41 [size =\"34085888\"]\n  26 -> 42 [size =\"34085888\"]\n  27 [size=\"46370816\", alpha=\"0.10\", expect_size=\"23185408\"] \n  27 -> 43 [size =\"23185408\"]\n  27 -> 44 [size =\"23185408\"]\n  27 -> 45 [size =\"23185408\"]\n  28 [size=\"44308480\", alpha=\"0.06\", expect_size=\"22154240\"] \n  28 -> 43 [size =\"22154240\"]\n  28 -> 45 [size =\"22154240\"]\n  28 -> 45 [size =\"22154240\"]\n  29 [size=\"90284032\", alpha=\"0.20\", expect_size=\"45142016\"] \n  29 -> 43 [size =\"45142016\"]\n  29 -> 44 [size =\"45142016\"]\n  29 -> 45 [size =\"45142016\"]\n  30 [size=\"70283264\", alpha=\"0.07\", expect_size=\"35141632\"] \n  30 -> 43 [size =\"35141632\"]\n  30 -> 44 [size =\"35141632\"]\n  30 -> 45 [size =\"35141632\"]\n  31 [size=\"85305344\", alpha=\"0.03\", expect_size=\"42652672\"] \n  31 -> 43 [size =\"42652672\"]\n  31 -> 44 [size =\"42652672\"]\n  32 [size=\"61106176\", alpha=\"0.13\", expect_size=\"30553088\"] \n  32 -> 43 [size =\"30553088\"]\n  32 -> 44 [size =\"30553088\"]\n  33 [size=\"28542976\", alpha=\"0.15\", expect_size=\"14271488\"] \n  33 -> 43 [size =\"14271488\"]\n  34 [size=\"63873024\", alpha=\"0.12\", expect_size=\"31936512\"] \n  34 -> 43 [size =\"31936512\"]\n  34 -> 44 [size =\"31936512\"]\n  35 [size=\"90650624\", alpha=\"0.17\", expect_size=\"45325312\"] \n  35 -> 43 [size =\"45325312\"]\n  35 -> 44 [size =\"45325312\"]\n  35 -> 45 [size =\"45325312\"]\n  36 [size=\"102064128\", alpha=\"0.01\", expect_size=\"51032064\"] \n  36 -> 43 [size =\"51032064\"]\n  36 -> 44 [size =\"51032064\"]\n  37 [size=\"25688064\", alpha=\"0.10\", expect_size=\"12844032\"] \n  37 -> 45 [size =\"12844032\"]\n  38 [size=\"73709568\", alpha=\"0.08\", expect_size=\"36854784\"] \n  38 -> 45 [size =\"36854784\"]\n  39 [size=\"103884800\", alpha=\"0.05\", expect_size=\"51942400\"] \n  39 -> 44 [size =\"51942400\"]\n  39 -> 45 [size =\"51942400\"]\n  40 [size=\"103454720\", alpha=\"0.20\", expect_size=\"51727360\"] \n  40 -> 43 [size =\"51727360\"]\n  40 -> 44 [size =\"51727360\"]\n  40 -> 45 [size =\"51727360\"]\n  41 [size=\"39931904\", alpha=\"0.08\", expect_size=\"19965952\"] \n  41 -> 44 [size =\"19965952\"]\n  41 -> 45 [size =\"19965952\"]\n  42 [size=\"54579200\", alpha=\"0.09\", expect_size=\"27289600\"] \n  42 -> 44 [size =\"27289600\"]\n  42 -> 45 [size =\"27289600\"]\n  43 [size=\"23070720\", alpha=\"0.14\", expect_size=\"11535360\"] \n  44 [size=\"93024256\", alpha=\"0.07\", expect_size=\"46512128\"] \n  45 [size=\"53536768\", alpha=\"0.11\", expect_size=\"26768384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33622016\", alpha=\"0.14\", expect_size=\"16811008\"] \n  1 -> 2 [size =\"16811008\"]\n  2 [size=\"35108864\", alpha=\"0.05\", expect_size=\"17554432\"] \n  2 -> 3 [size =\"17554432\"]\n  3 [size=\"19187712\", alpha=\"0.18\", expect_size=\"9593856\"] \n  3 -> 4 [size =\"9593856\"]\n  4 [size=\"61212672\", alpha=\"0.07\", expect_size=\"30606336\"] \n  4 -> 5 [size =\"30606336\"]\n  5 [size=\"53848064\", alpha=\"0.08\", expect_size=\"26924032\"] \n  5 -> 6 [size =\"26924032\"]\n  6 [size=\"46424064\", alpha=\"0.09\", expect_size=\"23212032\"] \n  6 -> 7 [size =\"23212032\"]\n  7 [size=\"29155328\", alpha=\"0.10\", expect_size=\"14577664\"] \n  7 -> 8 [size =\"14577664\"]\n  8 [size=\"66664448\", alpha=\"0.18\", expect_size=\"33332224\"] \n  8 -> 9 [size =\"33332224\"]\n  9 [size=\"49055744\", alpha=\"0.08\", expect_size=\"24527872\"] \n  9 -> 10 [size =\"24527872\"]\n  10 [size=\"14993408\", alpha=\"0.07\", expect_size=\"7496704\"] \n  10 -> 11 [size =\"7496704\"]\n  11 [size=\"102828032\", alpha=\"0.19\", expect_size=\"51414016\"] \n  11 -> 12 [size =\"51414016\"]\n  12 [size=\"76355584\", alpha=\"0.07\", expect_size=\"38177792\"] \n  12 -> 13 [size =\"38177792\"]\n  13 [size=\"102084608\", alpha=\"0.14\", expect_size=\"51042304\"] \n  13 -> 14 [size =\"51042304\"]\n  14 [size=\"94781440\", alpha=\"0.04\", expect_size=\"47390720\"] \n  14 -> 15 [size =\"47390720\"]\n  15 [size=\"35192832\", alpha=\"0.01\", expect_size=\"17596416\"] \n  15 -> 16 [size =\"17596416\"]\n  16 [size=\"74012672\", alpha=\"0.12\", expect_size=\"37006336\"] \n  16 -> 17 [size =\"37006336\"]\n  17 [size=\"23007232\", alpha=\"0.04\", expect_size=\"11503616\"] \n  17 -> 18 [size =\"11503616\"]\n  18 [size=\"68878336\", alpha=\"0.02\", expect_size=\"34439168\"] \n  18 -> 19 [size =\"34439168\"]\n  19 [size=\"61024256\", alpha=\"0.16\", expect_size=\"30512128\"] \n  19 -> 20 [size =\"30512128\"]\n  20 [size=\"98185216\", alpha=\"0.00\", expect_size=\"49092608\"] \n  20 -> 21 [size =\"49092608\"]\n  21 [size=\"38612992\", alpha=\"0.09\", expect_size=\"19306496\"] \n  21 -> 22 [size =\"19306496\"]\n  22 [size=\"32026624\", alpha=\"0.04\", expect_size=\"16013312\"] \n  22 -> 23 [size =\"16013312\"]\n  23 [size=\"65622016\", alpha=\"0.20\", expect_size=\"32811008\"] \n  23 -> 24 [size =\"32811008\"]\n  24 [size=\"37328896\", alpha=\"0.06\", expect_size=\"18664448\"] \n  24 -> 25 [size =\"18664448\"]\n  25 [size=\"55400448\", alpha=\"0.02\", expect_size=\"27700224\"] \n  25 -> 26 [size =\"27700224\"]\n  26 [size=\"60817408\", alpha=\"0.06\", expect_size=\"30408704\"] \n  26 -> 27 [size =\"30408704\"]\n  27 [size=\"21913600\", alpha=\"0.14\", expect_size=\"10956800\"] \n  27 -> 28 [size =\"10956800\"]\n  28 [size=\"42260480\", alpha=\"0.13\", expect_size=\"21130240\"] \n  28 -> 29 [size =\"21130240\"]\n  29 [size=\"49684480\", alpha=\"0.01\", expect_size=\"24842240\"] \n  29 -> 30 [size =\"24842240\"]\n  30 [size=\"32124928\", alpha=\"0.09\", expect_size=\"16062464\"] \n  30 -> 31 [size =\"16062464\"]\n  31 [size=\"33859584\", alpha=\"0.18\", expect_size=\"16929792\"] \n  31 -> 32 [size =\"16929792\"]\n  32 [size=\"78024704\", alpha=\"0.20\", expect_size=\"39012352\"] \n  32 -> 33 [size =\"39012352\"]\n  33 [size=\"94873600\", alpha=\"0.01\", expect_size=\"47436800\"] \n  33 -> 34 [size =\"47436800\"]\n  34 [size=\"93108224\", alpha=\"0.01\", expect_size=\"46554112\"] \n  34 -> 35 [size =\"46554112\"]\n  35 [size=\"29085696\", alpha=\"0.05\", expect_size=\"14542848\"] \n  35 -> 36 [size =\"14542848\"]\n  36 [size=\"40540160\", alpha=\"0.03\", expect_size=\"20270080\"] \n  36 -> 37 [size =\"20270080\"]\n  37 [size=\"69036032\", alpha=\"0.04\", expect_size=\"34518016\"] \n  37 -> 38 [size =\"34518016\"]\n  38 [size=\"38877184\", alpha=\"0.17\", expect_size=\"19438592\"] \n  38 -> 39 [size =\"19438592\"]\n  39 [size=\"100610048\", alpha=\"0.01\", expect_size=\"50305024\"] \n  39 -> 40 [size =\"50305024\"]\n  40 [size=\"104065024\", alpha=\"0.04\", expect_size=\"52032512\"] \n  40 -> 41 [size =\"52032512\"]\n  41 [size=\"53747712\", alpha=\"0.12\", expect_size=\"26873856\"] \n  41 -> 42 [size =\"26873856\"]\n  42 [size=\"42006528\", alpha=\"0.05\", expect_size=\"21003264\"] \n  42 -> 43 [size =\"21003264\"]\n  43 [size=\"40335360\", alpha=\"0.10\", expect_size=\"20167680\"] \n  43 -> 44 [size =\"20167680\"]\n  44 [size=\"45965312\", alpha=\"0.20\", expect_size=\"22982656\"] \n  44 -> 45 [size =\"22982656\"]\n  45 [size=\"48820224\", alpha=\"0.20\", expect_size=\"24410112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27077973\", alpha=\"0.05\", expect_size=\"8123392\"] \n  1 -> 2 [size =\"8123392\"]\n  2 [size=\"37563733\", alpha=\"0.13\", expect_size=\"11269120\"] \n  2 -> 3 [size =\"11269120\"]\n  3 [size=\"37973333\", alpha=\"0.05\", expect_size=\"11392000\"] \n  3 -> 4 [size =\"11392000\"]\n  4 [size=\"72437760\", alpha=\"0.13\", expect_size=\"21731328\"] \n  4 -> 5 [size =\"21731328\"]\n  5 [size=\"53411840\", alpha=\"0.19\", expect_size=\"16023552\"] \n  5 -> 6 [size =\"16023552\"]\n  6 [size=\"68140373\", alpha=\"0.19\", expect_size=\"20442112\"] \n  6 -> 7 [size =\"20442112\"]\n  7 [size=\"119091200\", alpha=\"0.11\", expect_size=\"35727360\"] \n  7 -> 8 [size =\"35727360\"]\n  8 [size=\"84886187\", alpha=\"0.17\", expect_size=\"25465856\"] \n  8 -> 9 [size =\"25465856\"]\n  9 [size=\"53524480\", alpha=\"0.07\", expect_size=\"16057344\"] \n  9 -> 10 [size =\"16057344\"]\n  10 [size=\"157279573\", alpha=\"0.03\", expect_size=\"47183872\"] \n  10 -> 11 [size =\"47183872\"]\n  11 [size=\"168625493\", alpha=\"0.10\", expect_size=\"50587648\"] \n  11 -> 12 [size =\"50587648\"]\n  12 [size=\"49841493\", alpha=\"0.02\", expect_size=\"14952448\"] \n  12 -> 13 [size =\"14952448\"]\n  13 [size=\"151517867\", alpha=\"0.06\", expect_size=\"45455360\"] \n  13 -> 14 [size =\"45455360\"]\n  14 [size=\"30689280\", alpha=\"0.12\", expect_size=\"9206784\"] \n  14 -> 15 [size =\"9206784\"]\n  15 [size=\"136383147\", alpha=\"0.05\", expect_size=\"40914944\"] \n  15 -> 16 [size =\"40914944\"]\n  16 [size=\"127337813\", alpha=\"0.16\", expect_size=\"38201344\"] \n  16 -> 17 [size =\"38201344\"]\n  17 [size=\"118459733\", alpha=\"0.17\", expect_size=\"35537920\"] \n  17 -> 18 [size =\"35537920\"]\n  18 [size=\"51329707\", alpha=\"0.00\", expect_size=\"15398912\"] \n  18 -> 19 [size =\"15398912\"]\n  19 [size=\"26337280\", alpha=\"0.00\", expect_size=\"7901184\"] \n  19 -> 20 [size =\"7901184\"]\n  20 [size=\"79656960\", alpha=\"0.06\", expect_size=\"23897088\"] \n  20 -> 21 [size =\"23897088\"]\n  21 [size=\"103987200\", alpha=\"0.12\", expect_size=\"31196160\"] \n  21 -> 22 [size =\"31196160\"]\n  22 [size=\"24828587\", alpha=\"0.02\", expect_size=\"7448576\"] \n  22 -> 23 [size =\"7448576\"]\n  23 [size=\"42786133\", alpha=\"0.14\", expect_size=\"12835840\"] \n  23 -> 24 [size =\"12835840\"]\n  24 [size=\"88084480\", alpha=\"0.13\", expect_size=\"26425344\"] \n  24 -> 25 [size =\"26425344\"]\n  25 [size=\"25702400\", alpha=\"0.16\", expect_size=\"7710720\"] \n  25 -> 26 [size =\"7710720\"]\n  26 [size=\"61320533\", alpha=\"0.06\", expect_size=\"18396160\"] \n  26 -> 27 [size =\"18396160\"]\n  27 [size=\"29245440\", alpha=\"0.09\", expect_size=\"8773632\"] \n  27 -> 28 [size =\"8773632\"]\n  28 [size=\"164536320\", alpha=\"0.00\", expect_size=\"49360896\"] \n  28 -> 29 [size =\"49360896\"]\n  29 [size=\"165986987\", alpha=\"0.17\", expect_size=\"49796096\"] \n  29 -> 30 [size =\"49796096\"]\n  30 [size=\"166724267\", alpha=\"0.10\", expect_size=\"50017280\"] \n  30 -> 31 [size =\"50017280\"]\n  31 [size=\"53971627\", alpha=\"0.03\", expect_size=\"16191488\"] \n  31 -> 32 [size =\"16191488\"]\n  32 [size=\"151910400\", alpha=\"0.00\", expect_size=\"45573120\"] \n  32 -> 33 [size =\"45573120\"]\n  33 [size=\"166055253\", alpha=\"0.15\", expect_size=\"49816576\"] \n  33 -> 34 [size =\"49816576\"]\n  34 [size=\"116903253\", alpha=\"0.11\", expect_size=\"35070976\"] \n  34 -> 35 [size =\"35070976\"]\n  35 [size=\"59419307\", alpha=\"0.02\", expect_size=\"17825792\"] \n  35 -> 36 [size =\"17825792\"]\n  36 [size=\"29545813\", alpha=\"0.06\", expect_size=\"8863744\"] \n  36 -> 37 [size =\"8863744\"]\n  37 [size=\"77943467\", alpha=\"0.04\", expect_size=\"23383040\"] \n  37 -> 38 [size =\"23383040\"]\n  38 [size=\"148947627\", alpha=\"0.06\", expect_size=\"44684288\"] \n  38 -> 39 [size =\"44684288\"]\n  39 [size=\"152678400\", alpha=\"0.10\", expect_size=\"45803520\"] \n  39 -> 40 [size =\"45803520\"]\n  40 [size=\"125194240\", alpha=\"0.01\", expect_size=\"37558272\"] \n  40 -> 41 [size =\"37558272\"]\n  41 [size=\"49012053\", alpha=\"0.03\", expect_size=\"14703616\"] \n  41 -> 42 [size =\"14703616\"]\n  42 [size=\"75277653\", alpha=\"0.06\", expect_size=\"22583296\"] \n  42 -> 43 [size =\"22583296\"]\n  43 [size=\"79069867\", alpha=\"0.12\", expect_size=\"23720960\"] \n  43 -> 44 [size =\"23720960\"]\n  44 [size=\"37150720\", alpha=\"0.08\", expect_size=\"11145216\"] \n  44 -> 45 [size =\"11145216\"]\n  45 [size=\"120016213\", alpha=\"0.04\", expect_size=\"36004864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27138048\", alpha=\"0.01\", expect_size=\"13569024\"] \n  1 -> 2 [size =\"13569024\"]\n  2 [size=\"81862656\", alpha=\"0.05\", expect_size=\"40931328\"] \n  2 -> 3 [size =\"40931328\"]\n  3 [size=\"46866432\", alpha=\"0.05\", expect_size=\"23433216\"] \n  3 -> 4 [size =\"23433216\"]\n  4 [size=\"88371200\", alpha=\"0.12\", expect_size=\"44185600\"] \n  4 -> 5 [size =\"44185600\"]\n  5 [size=\"19757056\", alpha=\"0.01\", expect_size=\"9878528\"] \n  5 -> 6 [size =\"9878528\"]\n  6 [size=\"84955136\", alpha=\"0.08\", expect_size=\"42477568\"] \n  6 -> 7 [size =\"42477568\"]\n  7 [size=\"60559360\", alpha=\"0.11\", expect_size=\"30279680\"] \n  7 -> 8 [size =\"30279680\"]\n  8 [size=\"66336768\", alpha=\"0.10\", expect_size=\"33168384\"] \n  8 -> 9 [size =\"33168384\"]\n  9 [size=\"34344960\", alpha=\"0.08\", expect_size=\"17172480\"] \n  9 -> 10 [size =\"17172480\"]\n  10 [size=\"84271104\", alpha=\"0.07\", expect_size=\"42135552\"] \n  10 -> 11 [size =\"42135552\"]\n  11 [size=\"87402496\", alpha=\"0.15\", expect_size=\"43701248\"] \n  11 -> 12 [size =\"43701248\"]\n  12 [size=\"92571648\", alpha=\"0.17\", expect_size=\"46285824\"] \n  12 -> 13 [size =\"46285824\"]\n  13 [size=\"23021568\", alpha=\"0.11\", expect_size=\"11510784\"] \n  13 -> 14 [size =\"11510784\"]\n  14 [size=\"45062144\", alpha=\"0.16\", expect_size=\"22531072\"] \n  14 -> 15 [size =\"22531072\"]\n  15 [size=\"102428672\", alpha=\"0.15\", expect_size=\"51214336\"] \n  15 -> 16 [size =\"51214336\"]\n  16 [size=\"11270144\", alpha=\"0.17\", expect_size=\"5635072\"] \n  16 -> 17 [size =\"5635072\"]\n  17 [size=\"49174528\", alpha=\"0.14\", expect_size=\"24587264\"] \n  17 -> 18 [size =\"24587264\"]\n  18 [size=\"99284992\", alpha=\"0.18\", expect_size=\"49642496\"] \n  18 -> 19 [size =\"49642496\"]\n  19 [size=\"53248000\", alpha=\"0.16\", expect_size=\"26624000\"] \n  19 -> 20 [size =\"26624000\"]\n  20 [size=\"89354240\", alpha=\"0.12\", expect_size=\"44677120\"] \n  20 -> 21 [size =\"44677120\"]\n  21 [size=\"29083648\", alpha=\"0.11\", expect_size=\"14541824\"] \n  21 -> 22 [size =\"14541824\"]\n  22 [size=\"101877760\", alpha=\"0.06\", expect_size=\"50938880\"] \n  22 -> 23 [size =\"50938880\"]\n  23 [size=\"85469184\", alpha=\"0.09\", expect_size=\"42734592\"] \n  23 -> 24 [size =\"42734592\"]\n  24 [size=\"40683520\", alpha=\"0.08\", expect_size=\"20341760\"] \n  24 -> 25 [size =\"20341760\"]\n  25 [size=\"21934080\", alpha=\"0.08\", expect_size=\"10967040\"] \n  25 -> 26 [size =\"10967040\"]\n  26 [size=\"92450816\", alpha=\"0.05\", expect_size=\"46225408\"] \n  26 -> 27 [size =\"46225408\"]\n  27 [size=\"77113344\", alpha=\"0.12\", expect_size=\"38556672\"] \n  27 -> 28 [size =\"38556672\"]\n  28 [size=\"50571264\", alpha=\"0.12\", expect_size=\"25285632\"] \n  28 -> 29 [size =\"25285632\"]\n  29 [size=\"42592256\", alpha=\"0.16\", expect_size=\"21296128\"] \n  29 -> 30 [size =\"21296128\"]\n  30 [size=\"22851584\", alpha=\"0.16\", expect_size=\"11425792\"] \n  30 -> 31 [size =\"11425792\"]\n  31 [size=\"78929920\", alpha=\"0.12\", expect_size=\"39464960\"] \n  31 -> 32 [size =\"39464960\"]\n  32 [size=\"38739968\", alpha=\"0.05\", expect_size=\"19369984\"] \n  32 -> 33 [size =\"19369984\"]\n  33 [size=\"68030464\", alpha=\"0.01\", expect_size=\"34015232\"] \n  33 -> 34 [size =\"34015232\"]\n  34 [size=\"14438400\", alpha=\"0.05\", expect_size=\"7219200\"] \n  34 -> 35 [size =\"7219200\"]\n  35 [size=\"50221056\", alpha=\"0.08\", expect_size=\"25110528\"] \n  35 -> 36 [size =\"25110528\"]\n  36 [size=\"90279936\", alpha=\"0.11\", expect_size=\"45139968\"] \n  36 -> 37 [size =\"45139968\"]\n  37 [size=\"20340736\", alpha=\"0.03\", expect_size=\"10170368\"] \n  37 -> 38 [size =\"10170368\"]\n  38 [size=\"79222784\", alpha=\"0.13\", expect_size=\"39611392\"] \n  38 -> 39 [size =\"39611392\"]\n  39 [size=\"39659520\", alpha=\"0.12\", expect_size=\"19829760\"] \n  39 -> 40 [size =\"19829760\"]\n  40 [size=\"19888128\", alpha=\"0.08\", expect_size=\"9944064\"] \n  40 -> 41 [size =\"9944064\"]\n  41 [size=\"93689856\", alpha=\"0.08\", expect_size=\"46844928\"] \n  41 -> 42 [size =\"46844928\"]\n  42 [size=\"54872064\", alpha=\"0.07\", expect_size=\"27436032\"] \n  42 -> 43 [size =\"27436032\"]\n  43 [size=\"79890432\", alpha=\"0.02\", expect_size=\"39945216\"] \n  43 -> 44 [size =\"39945216\"]\n  44 [size=\"86908928\", alpha=\"0.04\", expect_size=\"43454464\"] \n  44 -> 45 [size =\"43454464\"]\n  45 [size=\"16134144\", alpha=\"0.08\", expect_size=\"8067072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22671360\", alpha=\"0.05\", expect_size=\"9068544\"] \n  1 -> 39 [size =\"9068544\"]\n  1 -> 40 [size =\"9068544\"]\n  1 -> 41 [size =\"9068544\"]\n  1 -> 44 [size =\"9068544\"]\n  2 [size=\"53606400\", alpha=\"0.16\", expect_size=\"21442560\"] \n  3 [size=\"13995520\", alpha=\"0.18\", expect_size=\"5598208\"] \n  3 -> 40 [size =\"5598208\"]\n  3 -> 43 [size =\"5598208\"]\n  4 [size=\"20910080\", alpha=\"0.20\", expect_size=\"8364032\"] \n  4 -> 37 [size =\"8364032\"]\n  4 -> 40 [size =\"8364032\"]\n  4 -> 43 [size =\"8364032\"]\n  5 [size=\"72455680\", alpha=\"0.09\", expect_size=\"28982272\"] \n  5 -> 43 [size =\"28982272\"]\n  5 -> 44 [size =\"28982272\"]\n  6 [size=\"83466240\", alpha=\"0.11\", expect_size=\"33386496\"] \n  6 -> 38 [size =\"33386496\"]\n  6 -> 40 [size =\"33386496\"]\n  6 -> 41 [size =\"33386496\"]\n  6 -> 44 [size =\"33386496\"]\n  7 [size=\"31546880\", alpha=\"0.11\", expect_size=\"12618752\"] \n  7 -> 38 [size =\"12618752\"]\n  7 -> 40 [size =\"12618752\"]\n  7 -> 41 [size =\"12618752\"]\n  7 -> 45 [size =\"12618752\"]\n  8 [size=\"53186560\", alpha=\"0.06\", expect_size=\"21274624\"] \n  8 -> 38 [size =\"21274624\"]\n  8 -> 40 [size =\"21274624\"]\n  8 -> 41 [size =\"21274624\"]\n  8 -> 43 [size =\"21274624\"]\n  9 [size=\"71779840\", alpha=\"0.15\", expect_size=\"28711936\"] \n  9 -> 40 [size =\"28711936\"]\n  9 -> 41 [size =\"28711936\"]\n  9 -> 43 [size =\"28711936\"]\n  10 [size=\"19225600\", alpha=\"0.12\", expect_size=\"7690240\"] \n  10 -> 40 [size =\"7690240\"]\n  10 -> 43 [size =\"7690240\"]\n  10 -> 43 [size =\"7690240\"]\n  10 -> 45 [size =\"7690240\"]\n  11 [size=\"35271680\", alpha=\"0.17\", expect_size=\"14108672\"] \n  11 -> 40 [size =\"14108672\"]\n  11 -> 41 [size =\"14108672\"]\n  11 -> 43 [size =\"14108672\"]\n  11 -> 45 [size =\"14108672\"]\n  12 [size=\"64286720\", alpha=\"0.19\", expect_size=\"25714688\"] \n  12 -> 37 [size =\"25714688\"]\n  12 -> 41 [size =\"25714688\"]\n  13 [size=\"43077120\", alpha=\"0.04\", expect_size=\"17230848\"] \n  13 -> 40 [size =\"17230848\"]\n  14 [size=\"33182720\", alpha=\"0.15\", expect_size=\"13273088\"] \n  14 -> 37 [size =\"13273088\"]\n  14 -> 38 [size =\"13273088\"]\n  15 [size=\"30760960\", alpha=\"0.00\", expect_size=\"12304384\"] \n  15 -> 37 [size =\"12304384\"]\n  15 -> 42 [size =\"12304384\"]\n  16 [size=\"84131840\", alpha=\"0.16\", expect_size=\"33652736\"] \n  16 -> 37 [size =\"33652736\"]\n  16 -> 38 [size =\"33652736\"]\n  16 -> 41 [size =\"33652736\"]\n  16 -> 43 [size =\"33652736\"]\n  16 -> 44 [size =\"33652736\"]\n  17 [size=\"29655040\", alpha=\"0.06\", expect_size=\"11862016\"] \n  17 -> 40 [size =\"11862016\"]\n  18 [size=\"94707200\", alpha=\"0.01\", expect_size=\"37882880\"] \n  18 -> 42 [size =\"37882880\"]\n  19 [size=\"130068480\", alpha=\"0.17\", expect_size=\"52027392\"] \n  19 -> 38 [size =\"52027392\"]\n  20 [size=\"98301440\", alpha=\"0.19\", expect_size=\"39320576\"] \n  20 -> 38 [size =\"39320576\"]\n  20 -> 45 [size =\"39320576\"]\n  21 [size=\"52006400\", alpha=\"0.04\", expect_size=\"20802560\"] \n  21 -> 42 [size =\"20802560\"]\n  21 -> 43 [size =\"20802560\"]\n  21 -> 45 [size =\"20802560\"]\n  22 [size=\"33000960\", alpha=\"0.15\", expect_size=\"13200384\"] \n  22 -> 40 [size =\"13200384\"]\n  22 -> 41 [size =\"13200384\"]\n  23 [size=\"29068800\", alpha=\"0.06\", expect_size=\"11627520\"] \n  23 -> 43 [size =\"11627520\"]\n  24 [size=\"49943040\", alpha=\"0.19\", expect_size=\"19977216\"] \n  24 -> 40 [size =\"19977216\"]\n  24 -> 44 [size =\"19977216\"]\n  25 [size=\"20935680\", alpha=\"0.01\", expect_size=\"8374272\"] \n  25 -> 38 [size =\"8374272\"]\n  25 -> 42 [size =\"8374272\"]\n  26 [size=\"23252480\", alpha=\"0.16\", expect_size=\"9300992\"] \n  26 -> 37 [size =\"9300992\"]\n  26 -> 39 [size =\"9300992\"]\n  27 [size=\"114851840\", alpha=\"0.14\", expect_size=\"45940736\"] \n  27 -> 37 [size =\"45940736\"]\n  27 -> 38 [size =\"45940736\"]\n  27 -> 40 [size =\"45940736\"]\n  27 -> 43 [size =\"45940736\"]\n  28 [size=\"30819840\", alpha=\"0.18\", expect_size=\"12327936\"] \n  28 -> 39 [size =\"12327936\"]\n  28 -> 44 [size =\"12327936\"]\n  29 [size=\"39383040\", alpha=\"0.12\", expect_size=\"15753216\"] \n  29 -> 45 [size =\"15753216\"]\n  30 [size=\"20262400\", alpha=\"0.08\", expect_size=\"8104960\"] \n  30 -> 38 [size =\"8104960\"]\n  30 -> 40 [size =\"8104960\"]\n  30 -> 45 [size =\"8104960\"]\n  31 [size=\"16614400\", alpha=\"0.07\", expect_size=\"6645760\"] \n  31 -> 40 [size =\"6645760\"]\n  31 -> 40 [size =\"6645760\"]\n  32 [size=\"38003200\", alpha=\"0.15\", expect_size=\"15201280\"] \n  32 -> 40 [size =\"15201280\"]\n  32 -> 41 [size =\"15201280\"]\n  32 -> 43 [size =\"15201280\"]\n  33 [size=\"124930560\", alpha=\"0.08\", expect_size=\"49972224\"] \n  33 -> 38 [size =\"49972224\"]\n  33 -> 45 [size =\"49972224\"]\n  34 [size=\"42352640\", alpha=\"0.05\", expect_size=\"16941056\"] \n  34 -> 37 [size =\"16941056\"]\n  35 [size=\"34009600\", alpha=\"0.04\", expect_size=\"13603840\"] \n  35 -> 38 [size =\"13603840\"]\n  35 -> 41 [size =\"13603840\"]\n  35 -> 44 [size =\"13603840\"]\n  36 [size=\"41280000\", alpha=\"0.15\", expect_size=\"16512000\"] \n  36 -> 40 [size =\"16512000\"]\n  36 -> 43 [size =\"16512000\"]\n  36 -> 44 [size =\"16512000\"]\n  37 [size=\"16565760\", alpha=\"0.10\", expect_size=\"6626304\"] \n  38 [size=\"96268800\", alpha=\"0.18\", expect_size=\"38507520\"] \n  39 [size=\"84544000\", alpha=\"0.06\", expect_size=\"33817600\"] \n  40 [size=\"40061440\", alpha=\"0.08\", expect_size=\"16024576\"] \n  41 [size=\"86909440\", alpha=\"0.17\", expect_size=\"34763776\"] \n  42 [size=\"129285120\", alpha=\"0.09\", expect_size=\"51714048\"] \n  43 [size=\"100403200\", alpha=\"0.04\", expect_size=\"40161280\"] \n  44 [size=\"30238720\", alpha=\"0.06\", expect_size=\"12095488\"] \n  45 [size=\"56829440\", alpha=\"0.08\", expect_size=\"22731776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63148032\", alpha=\"0.11\", expect_size=\"31574016\"] \n  1 -> 7 [size =\"31574016\"]\n  1 -> 8 [size =\"31574016\"]\n  1 -> 9 [size =\"31574016\"]\n  1 -> 11 [size =\"31574016\"]\n  2 [size=\"96376832\", alpha=\"0.05\", expect_size=\"48188416\"] \n  2 -> 8 [size =\"48188416\"]\n  2 -> 10 [size =\"48188416\"]\n  3 [size=\"43452416\", alpha=\"0.02\", expect_size=\"21726208\"] \n  3 -> 8 [size =\"21726208\"]\n  3 -> 10 [size =\"21726208\"]\n  4 [size=\"13285376\", alpha=\"0.05\", expect_size=\"6642688\"] \n  4 -> 9 [size =\"6642688\"]\n  5 [size=\"34152448\", alpha=\"0.03\", expect_size=\"17076224\"] \n  5 -> 11 [size =\"17076224\"]\n  6 [size=\"60755968\", alpha=\"0.04\", expect_size=\"30377984\"] \n  6 -> 7 [size =\"30377984\"]\n  6 -> 9 [size =\"30377984\"]\n  6 -> 11 [size =\"30377984\"]\n  7 [size=\"15828992\", alpha=\"0.16\", expect_size=\"7914496\"] \n  7 -> 14 [size =\"7914496\"]\n  8 [size=\"45443072\", alpha=\"0.04\", expect_size=\"22721536\"] \n  8 -> 12 [size =\"22721536\"]\n  9 [size=\"21819392\", alpha=\"0.07\", expect_size=\"10909696\"] \n  9 -> 13 [size =\"10909696\"]\n  9 -> 16 [size =\"10909696\"]\n  10 [size=\"65536000\", alpha=\"0.11\", expect_size=\"32768000\"] \n  10 -> 12 [size =\"32768000\"]\n  10 -> 13 [size =\"32768000\"]\n  10 -> 15 [size =\"32768000\"]\n  10 -> 17 [size =\"32768000\"]\n  11 [size=\"15572992\", alpha=\"0.09\", expect_size=\"7786496\"] \n  11 -> 14 [size =\"7786496\"]\n  11 -> 16 [size =\"7786496\"]\n  12 [size=\"69253120\", alpha=\"0.11\", expect_size=\"34626560\"] \n  12 -> 23 [size =\"34626560\"]\n  13 [size=\"90589184\", alpha=\"0.18\", expect_size=\"45294592\"] \n  13 -> 22 [size =\"45294592\"]\n  14 [size=\"100186112\", alpha=\"0.19\", expect_size=\"50093056\"] \n  14 -> 20 [size =\"50093056\"]\n  14 -> 24 [size =\"50093056\"]\n  15 [size=\"30892032\", alpha=\"0.06\", expect_size=\"15446016\"] \n  15 -> 18 [size =\"15446016\"]\n  15 -> 19 [size =\"15446016\"]\n  15 -> 21 [size =\"15446016\"]\n  15 -> 22 [size =\"15446016\"]\n  15 -> 24 [size =\"15446016\"]\n  16 [size=\"47147008\", alpha=\"0.03\", expect_size=\"23573504\"] \n  16 -> 19 [size =\"23573504\"]\n  17 [size=\"64208896\", alpha=\"0.15\", expect_size=\"32104448\"] \n  17 -> 20 [size =\"32104448\"]\n  18 [size=\"45774848\", alpha=\"0.00\", expect_size=\"22887424\"] \n  18 -> 27 [size =\"22887424\"]\n  18 -> 28 [size =\"22887424\"]\n  19 [size=\"62670848\", alpha=\"0.04\", expect_size=\"31335424\"] \n  19 -> 27 [size =\"31335424\"]\n  20 [size=\"97032192\", alpha=\"0.08\", expect_size=\"48516096\"] \n  20 -> 26 [size =\"48516096\"]\n  21 [size=\"54652928\", alpha=\"0.04\", expect_size=\"27326464\"] \n  22 [size=\"95666176\", alpha=\"0.19\", expect_size=\"47833088\"] \n  23 [size=\"52131840\", alpha=\"0.20\", expect_size=\"26065920\"] \n  23 -> 26 [size =\"26065920\"]\n  23 -> 27 [size =\"26065920\"]\n  24 [size=\"44554240\", alpha=\"0.01\", expect_size=\"22277120\"] \n  24 -> 25 [size =\"22277120\"]\n  24 -> 26 [size =\"22277120\"]\n  24 -> 27 [size =\"22277120\"]\n  25 [size=\"39606272\", alpha=\"0.08\", expect_size=\"19803136\"] \n  25 -> 32 [size =\"19803136\"]\n  26 [size=\"69754880\", alpha=\"0.06\", expect_size=\"34877440\"] \n  26 -> 31 [size =\"34877440\"]\n  27 [size=\"83716096\", alpha=\"0.04\", expect_size=\"41858048\"] \n  27 -> 29 [size =\"41858048\"]\n  27 -> 30 [size =\"41858048\"]\n  27 -> 33 [size =\"41858048\"]\n  28 [size=\"60547072\", alpha=\"0.10\", expect_size=\"30273536\"] \n  29 [size=\"62339072\", alpha=\"0.18\", expect_size=\"31169536\"] \n  29 -> 37 [size =\"31169536\"]\n  30 [size=\"79808512\", alpha=\"0.18\", expect_size=\"39904256\"] \n  30 -> 35 [size =\"39904256\"]\n  30 -> 36 [size =\"39904256\"]\n  30 -> 37 [size =\"39904256\"]\n  31 [size=\"25513984\", alpha=\"0.20\", expect_size=\"12756992\"] \n  31 -> 34 [size =\"12756992\"]\n  31 -> 35 [size =\"12756992\"]\n  31 -> 36 [size =\"12756992\"]\n  31 -> 37 [size =\"12756992\"]\n  32 [size=\"46489600\", alpha=\"0.13\", expect_size=\"23244800\"] \n  33 [size=\"39888896\", alpha=\"0.04\", expect_size=\"19944448\"] \n  33 -> 34 [size =\"19944448\"]\n  33 -> 36 [size =\"19944448\"]\n  34 [size=\"38674432\", alpha=\"0.13\", expect_size=\"19337216\"] \n  34 -> 38 [size =\"19337216\"]\n  35 [size=\"45649920\", alpha=\"0.07\", expect_size=\"22824960\"] \n  35 -> 40 [size =\"22824960\"]\n  35 -> 41 [size =\"22824960\"]\n  36 [size=\"84482048\", alpha=\"0.09\", expect_size=\"42241024\"] \n  36 -> 38 [size =\"42241024\"]\n  36 -> 39 [size =\"42241024\"]\n  36 -> 40 [size =\"42241024\"]\n  36 -> 41 [size =\"42241024\"]\n  37 [size=\"16697344\", alpha=\"0.02\", expect_size=\"8348672\"] \n  38 [size=\"36382720\", alpha=\"0.02\", expect_size=\"18191360\"] \n  38 -> 43 [size =\"18191360\"]\n  39 [size=\"84127744\", alpha=\"0.14\", expect_size=\"42063872\"] \n  39 -> 44 [size =\"42063872\"]\n  39 -> 45 [size =\"42063872\"]\n  40 [size=\"76890112\", alpha=\"0.04\", expect_size=\"38445056\"] \n  40 -> 42 [size =\"38445056\"]\n  41 [size=\"69726208\", alpha=\"0.03\", expect_size=\"34863104\"] \n  41 -> 45 [size =\"34863104\"]\n  42 [size=\"67721216\", alpha=\"0.00\", expect_size=\"33860608\"] \n  43 [size=\"35272704\", alpha=\"0.06\", expect_size=\"17636352\"] \n  44 [size=\"52486144\", alpha=\"0.20\", expect_size=\"26243072\"] \n  45 [size=\"20316160\", alpha=\"0.19\", expect_size=\"10158080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26699093\", alpha=\"0.16\", expect_size=\"8009728\"] \n  1 -> 22 [size =\"8009728\"]\n  1 -> 24 [size =\"8009728\"]\n  1 -> 25 [size =\"8009728\"]\n  1 -> 26 [size =\"8009728\"]\n  2 [size=\"62033920\", alpha=\"0.15\", expect_size=\"18610176\"] \n  2 -> 21 [size =\"18610176\"]\n  2 -> 26 [size =\"18610176\"]\n  3 [size=\"160607573\", alpha=\"0.04\", expect_size=\"48182272\"] \n  3 -> 24 [size =\"48182272\"]\n  3 -> 25 [size =\"48182272\"]\n  4 [size=\"51490133\", alpha=\"0.06\", expect_size=\"15447040\"] \n  4 -> 22 [size =\"15447040\"]\n  4 -> 26 [size =\"15447040\"]\n  5 [size=\"136106667\", alpha=\"0.19\", expect_size=\"40832000\"] \n  6 [size=\"74615467\", alpha=\"0.07\", expect_size=\"22384640\"] \n  6 -> 22 [size =\"22384640\"]\n  6 -> 25 [size =\"22384640\"]\n  7 [size=\"63283200\", alpha=\"0.10\", expect_size=\"18984960\"] \n  7 -> 26 [size =\"18984960\"]\n  8 [size=\"65163947\", alpha=\"0.09\", expect_size=\"19549184\"] \n  8 -> 21 [size =\"19549184\"]\n  9 [size=\"144974507\", alpha=\"0.03\", expect_size=\"43492352\"] \n  9 -> 20 [size =\"43492352\"]\n  9 -> 21 [size =\"43492352\"]\n  9 -> 22 [size =\"43492352\"]\n  10 [size=\"125798400\", alpha=\"0.10\", expect_size=\"37739520\"] \n  10 -> 22 [size =\"37739520\"]\n  10 -> 25 [size =\"37739520\"]\n  10 -> 26 [size =\"37739520\"]\n  10 -> 28 [size =\"37739520\"]\n  11 [size=\"54394880\", alpha=\"0.08\", expect_size=\"16318464\"] \n  11 -> 20 [size =\"16318464\"]\n  12 [size=\"23029760\", alpha=\"0.10\", expect_size=\"6908928\"] \n  12 -> 23 [size =\"6908928\"]\n  13 [size=\"138424320\", alpha=\"0.18\", expect_size=\"41527296\"] \n  13 -> 25 [size =\"41527296\"]\n  14 [size=\"173100373\", alpha=\"0.02\", expect_size=\"51930112\"] \n  14 -> 20 [size =\"51930112\"]\n  14 -> 26 [size =\"51930112\"]\n  15 [size=\"59559253\", alpha=\"0.05\", expect_size=\"17867776\"] \n  15 -> 22 [size =\"17867776\"]\n  15 -> 23 [size =\"17867776\"]\n  15 -> 28 [size =\"17867776\"]\n  16 [size=\"48216747\", alpha=\"0.14\", expect_size=\"14465024\"] \n  16 -> 26 [size =\"14465024\"]\n  17 [size=\"107014827\", alpha=\"0.12\", expect_size=\"32104448\"] \n  17 -> 25 [size =\"32104448\"]\n  18 [size=\"29917867\", alpha=\"0.05\", expect_size=\"8975360\"] \n  18 -> 25 [size =\"8975360\"]\n  18 -> 26 [size =\"8975360\"]\n  18 -> 27 [size =\"8975360\"]\n  19 [size=\"103792640\", alpha=\"0.14\", expect_size=\"31137792\"] \n  20 [size=\"124160000\", alpha=\"0.07\", expect_size=\"37248000\"] \n  20 -> 34 [size =\"37248000\"]\n  20 -> 39 [size =\"37248000\"]\n  21 [size=\"44001280\", alpha=\"0.02\", expect_size=\"13200384\"] \n  21 -> 31 [size =\"13200384\"]\n  21 -> 32 [size =\"13200384\"]\n  21 -> 35 [size =\"13200384\"]\n  22 [size=\"107287893\", alpha=\"0.02\", expect_size=\"32186368\"] \n  22 -> 36 [size =\"32186368\"]\n  22 -> 38 [size =\"32186368\"]\n  23 [size=\"27463680\", alpha=\"0.00\", expect_size=\"8239104\"] \n  23 -> 32 [size =\"8239104\"]\n  23 -> 35 [size =\"8239104\"]\n  23 -> 37 [size =\"8239104\"]\n  23 -> 38 [size =\"8239104\"]\n  23 -> 40 [size =\"8239104\"]\n  24 [size=\"168284160\", alpha=\"0.03\", expect_size=\"50485248\"] \n  24 -> 29 [size =\"50485248\"]\n  24 -> 30 [size =\"50485248\"]\n  25 [size=\"29375147\", alpha=\"0.01\", expect_size=\"8812544\"] \n  25 -> 29 [size =\"8812544\"]\n  25 -> 33 [size =\"8812544\"]\n  25 -> 39 [size =\"8812544\"]\n  25 -> 40 [size =\"8812544\"]\n  26 [size=\"70512640\", alpha=\"0.06\", expect_size=\"21153792\"] \n  26 -> 32 [size =\"21153792\"]\n  26 -> 39 [size =\"21153792\"]\n  26 -> 40 [size =\"21153792\"]\n  27 [size=\"21626880\", alpha=\"0.17\", expect_size=\"6488064\"] \n  27 -> 35 [size =\"6488064\"]\n  27 -> 38 [size =\"6488064\"]\n  27 -> 39 [size =\"6488064\"]\n  27 -> 40 [size =\"6488064\"]\n  28 [size=\"119767040\", alpha=\"0.14\", expect_size=\"35930112\"] \n  28 -> 31 [size =\"35930112\"]\n  28 -> 32 [size =\"35930112\"]\n  28 -> 34 [size =\"35930112\"]\n  28 -> 38 [size =\"35930112\"]\n  29 [size=\"158795093\", alpha=\"0.07\", expect_size=\"47638528\"] \n  29 -> 41 [size =\"47638528\"]\n  29 -> 42 [size =\"47638528\"]\n  30 [size=\"112943787\", alpha=\"0.14\", expect_size=\"33883136\"] \n  30 -> 42 [size =\"33883136\"]\n  30 -> 45 [size =\"33883136\"]\n  31 [size=\"171793067\", alpha=\"0.05\", expect_size=\"51537920\"] \n  31 -> 42 [size =\"51537920\"]\n  31 -> 43 [size =\"51537920\"]\n  32 [size=\"29992960\", alpha=\"0.18\", expect_size=\"8997888\"] \n  32 -> 41 [size =\"8997888\"]\n  32 -> 42 [size =\"8997888\"]\n  33 [size=\"46677333\", alpha=\"0.05\", expect_size=\"14003200\"] \n  33 -> 41 [size =\"14003200\"]\n  33 -> 44 [size =\"14003200\"]\n  34 [size=\"50408107\", alpha=\"0.13\", expect_size=\"15122432\"] \n  34 -> 41 [size =\"15122432\"]\n  34 -> 44 [size =\"15122432\"]\n  35 [size=\"75199147\", alpha=\"0.06\", expect_size=\"22559744\"] \n  35 -> 41 [size =\"22559744\"]\n  36 [size=\"82394453\", alpha=\"0.02\", expect_size=\"24718336\"] \n  36 -> 41 [size =\"24718336\"]\n  36 -> 44 [size =\"24718336\"]\n  37 [size=\"129133227\", alpha=\"0.10\", expect_size=\"38739968\"] \n  37 -> 44 [size =\"38739968\"]\n  38 [size=\"103946240\", alpha=\"0.00\", expect_size=\"31183872\"] \n  38 -> 42 [size =\"31183872\"]\n  38 -> 44 [size =\"31183872\"]\n  39 [size=\"54510933\", alpha=\"0.01\", expect_size=\"16353280\"] \n  39 -> 42 [size =\"16353280\"]\n  40 [size=\"108335787\", alpha=\"0.15\", expect_size=\"32500736\"] \n  40 -> 43 [size =\"32500736\"]\n  41 [size=\"59173547\", alpha=\"0.13\", expect_size=\"17752064\"] \n  42 [size=\"101229227\", alpha=\"0.02\", expect_size=\"30368768\"] \n  43 [size=\"82773333\", alpha=\"0.12\", expect_size=\"24832000\"] \n  44 [size=\"124757333\", alpha=\"0.02\", expect_size=\"37427200\"] \n  45 [size=\"68229120\", alpha=\"0.13\", expect_size=\"20468736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36129280\", alpha=\"0.18\", expect_size=\"14451712\"] \n  1 -> 7 [size =\"14451712\"]\n  1 -> 8 [size =\"14451712\"]\n  1 -> 11 [size =\"14451712\"]\n  1 -> 12 [size =\"14451712\"]\n  2 [size=\"98012160\", alpha=\"0.16\", expect_size=\"39204864\"] \n  3 [size=\"95293440\", alpha=\"0.12\", expect_size=\"38117376\"] \n  3 -> 8 [size =\"38117376\"]\n  3 -> 10 [size =\"38117376\"]\n  3 -> 12 [size =\"38117376\"]\n  4 [size=\"32442880\", alpha=\"0.14\", expect_size=\"12977152\"] \n  4 -> 7 [size =\"12977152\"]\n  4 -> 12 [size =\"12977152\"]\n  5 [size=\"79334400\", alpha=\"0.14\", expect_size=\"31733760\"] \n  5 -> 7 [size =\"31733760\"]\n  5 -> 9 [size =\"31733760\"]\n  5 -> 10 [size =\"31733760\"]\n  5 -> 12 [size =\"31733760\"]\n  6 [size=\"32471040\", alpha=\"0.05\", expect_size=\"12988416\"] \n  6 -> 8 [size =\"12988416\"]\n  6 -> 9 [size =\"12988416\"]\n  6 -> 10 [size =\"12988416\"]\n  7 [size=\"16473600\", alpha=\"0.19\", expect_size=\"6589440\"] \n  7 -> 16 [size =\"6589440\"]\n  8 [size=\"80353280\", alpha=\"0.11\", expect_size=\"32141312\"] \n  8 -> 15 [size =\"32141312\"]\n  8 -> 16 [size =\"32141312\"]\n  9 [size=\"24675840\", alpha=\"0.05\", expect_size=\"9870336\"] \n  9 -> 13 [size =\"9870336\"]\n  10 [size=\"74516480\", alpha=\"0.15\", expect_size=\"29806592\"] \n  10 -> 13 [size =\"29806592\"]\n  10 -> 14 [size =\"29806592\"]\n  10 -> 17 [size =\"29806592\"]\n  11 [size=\"58972160\", alpha=\"0.13\", expect_size=\"23588864\"] \n  11 -> 13 [size =\"23588864\"]\n  11 -> 14 [size =\"23588864\"]\n  11 -> 18 [size =\"23588864\"]\n  11 -> 19 [size =\"23588864\"]\n  12 [size=\"49848320\", alpha=\"0.03\", expect_size=\"19939328\"] \n  12 -> 13 [size =\"19939328\"]\n  12 -> 18 [size =\"19939328\"]\n  13 [size=\"27683840\", alpha=\"0.17\", expect_size=\"11073536\"] \n  13 -> 21 [size =\"11073536\"]\n  13 -> 23 [size =\"11073536\"]\n  14 [size=\"99407360\", alpha=\"0.03\", expect_size=\"39762944\"] \n  14 -> 20 [size =\"39762944\"]\n  14 -> 22 [size =\"39762944\"]\n  14 -> 24 [size =\"39762944\"]\n  14 -> 25 [size =\"39762944\"]\n  15 [size=\"61117440\", alpha=\"0.12\", expect_size=\"24446976\"] \n  15 -> 23 [size =\"24446976\"]\n  15 -> 24 [size =\"24446976\"]\n  15 -> 25 [size =\"24446976\"]\n  16 [size=\"23692800\", alpha=\"0.11\", expect_size=\"9477120\"] \n  16 -> 21 [size =\"9477120\"]\n  16 -> 22 [size =\"9477120\"]\n  16 -> 24 [size =\"9477120\"]\n  17 [size=\"52541440\", alpha=\"0.08\", expect_size=\"21016576\"] \n  17 -> 22 [size =\"21016576\"]\n  17 -> 23 [size =\"21016576\"]\n  17 -> 24 [size =\"21016576\"]\n  18 [size=\"49546240\", alpha=\"0.15\", expect_size=\"19818496\"] \n  18 -> 20 [size =\"19818496\"]\n  18 -> 22 [size =\"19818496\"]\n  19 [size=\"116170240\", alpha=\"0.01\", expect_size=\"46468096\"] \n  19 -> 23 [size =\"46468096\"]\n  19 -> 24 [size =\"46468096\"]\n  19 -> 25 [size =\"46468096\"]\n  20 [size=\"27156480\", alpha=\"0.14\", expect_size=\"10862592\"] \n  20 -> 26 [size =\"10862592\"]\n  20 -> 27 [size =\"10862592\"]\n  20 -> 28 [size =\"10862592\"]\n  21 [size=\"116961280\", alpha=\"0.11\", expect_size=\"46784512\"] \n  21 -> 27 [size =\"46784512\"]\n  21 -> 28 [size =\"46784512\"]\n  21 -> 29 [size =\"46784512\"]\n  22 [size=\"76410880\", alpha=\"0.02\", expect_size=\"30564352\"] \n  22 -> 26 [size =\"30564352\"]\n  23 [size=\"96437760\", alpha=\"0.07\", expect_size=\"38575104\"] \n  23 -> 28 [size =\"38575104\"]\n  23 -> 30 [size =\"38575104\"]\n  24 [size=\"79424000\", alpha=\"0.16\", expect_size=\"31769600\"] \n  25 [size=\"97914880\", alpha=\"0.15\", expect_size=\"39165952\"] \n  25 -> 29 [size =\"39165952\"]\n  26 [size=\"53480960\", alpha=\"0.18\", expect_size=\"21392384\"] \n  26 -> 31 [size =\"21392384\"]\n  26 -> 34 [size =\"21392384\"]\n  26 -> 35 [size =\"21392384\"]\n  27 [size=\"121180160\", alpha=\"0.02\", expect_size=\"48472064\"] \n  27 -> 31 [size =\"48472064\"]\n  27 -> 32 [size =\"48472064\"]\n  27 -> 33 [size =\"48472064\"]\n  27 -> 35 [size =\"48472064\"]\n  28 [size=\"51924480\", alpha=\"0.17\", expect_size=\"20769792\"] \n  28 -> 32 [size =\"20769792\"]\n  28 -> 33 [size =\"20769792\"]\n  29 [size=\"22315520\", alpha=\"0.13\", expect_size=\"8926208\"] \n  29 -> 32 [size =\"8926208\"]\n  29 -> 35 [size =\"8926208\"]\n  30 [size=\"27842560\", alpha=\"0.01\", expect_size=\"11137024\"] \n  30 -> 35 [size =\"11137024\"]\n  31 [size=\"109621760\", alpha=\"0.16\", expect_size=\"43848704\"] \n  31 -> 36 [size =\"43848704\"]\n  31 -> 37 [size =\"43848704\"]\n  31 -> 38 [size =\"43848704\"]\n  31 -> 40 [size =\"43848704\"]\n  32 [size=\"54743040\", alpha=\"0.17\", expect_size=\"21897216\"] \n  32 -> 37 [size =\"21897216\"]\n  32 -> 39 [size =\"21897216\"]\n  32 -> 40 [size =\"21897216\"]\n  32 -> 41 [size =\"21897216\"]\n  33 [size=\"66081280\", alpha=\"0.01\", expect_size=\"26432512\"] \n  33 -> 41 [size =\"26432512\"]\n  34 [size=\"107855360\", alpha=\"0.19\", expect_size=\"43142144\"] \n  34 -> 36 [size =\"43142144\"]\n  34 -> 37 [size =\"43142144\"]\n  34 -> 41 [size =\"43142144\"]\n  35 [size=\"81438720\", alpha=\"0.06\", expect_size=\"32575488\"] \n  35 -> 36 [size =\"32575488\"]\n  35 -> 39 [size =\"32575488\"]\n  36 [size=\"53061120\", alpha=\"0.14\", expect_size=\"21224448\"] \n  36 -> 44 [size =\"21224448\"]\n  36 -> 45 [size =\"21224448\"]\n  36 -> 45 [size =\"21224448\"]\n  37 [size=\"42088960\", alpha=\"0.09\", expect_size=\"16835584\"] \n  37 -> 43 [size =\"16835584\"]\n  37 -> 45 [size =\"16835584\"]\n  38 [size=\"51888640\", alpha=\"0.10\", expect_size=\"20755456\"] \n  38 -> 42 [size =\"20755456\"]\n  39 [size=\"31741440\", alpha=\"0.09\", expect_size=\"12696576\"] \n  39 -> 44 [size =\"12696576\"]\n  40 [size=\"111188480\", alpha=\"0.10\", expect_size=\"44475392\"] \n  40 -> 43 [size =\"44475392\"]\n  41 [size=\"115704320\", alpha=\"0.09\", expect_size=\"46281728\"] \n  41 -> 42 [size =\"46281728\"]\n  41 -> 44 [size =\"46281728\"]\n  41 -> 45 [size =\"46281728\"]\n  42 [size=\"91161600\", alpha=\"0.18\", expect_size=\"36464640\"] \n  43 [size=\"74296320\", alpha=\"0.02\", expect_size=\"29718528\"] \n  44 [size=\"79692800\", alpha=\"0.17\", expect_size=\"31877120\"] \n  45 [size=\"75678720\", alpha=\"0.06\", expect_size=\"30271488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63194453\", alpha=\"0.15\", expect_size=\"18958336\"] \n  1 -> 16 [size =\"18958336\"]\n  1 -> 19 [size =\"18958336\"]\n  1 -> 21 [size =\"18958336\"]\n  1 -> 22 [size =\"18958336\"]\n  1 -> 24 [size =\"18958336\"]\n  1 -> 27 [size =\"18958336\"]\n  2 [size=\"168250027\", alpha=\"0.01\", expect_size=\"50475008\"] \n  2 -> 16 [size =\"50475008\"]\n  2 -> 18 [size =\"50475008\"]\n  2 -> 19 [size =\"50475008\"]\n  2 -> 22 [size =\"50475008\"]\n  2 -> 24 [size =\"50475008\"]\n  2 -> 26 [size =\"50475008\"]\n  2 -> 27 [size =\"50475008\"]\n  3 [size=\"165679787\", alpha=\"0.16\", expect_size=\"49703936\"] \n  3 -> 16 [size =\"49703936\"]\n  3 -> 17 [size =\"49703936\"]\n  3 -> 18 [size =\"49703936\"]\n  3 -> 22 [size =\"49703936\"]\n  3 -> 26 [size =\"49703936\"]\n  3 -> 28 [size =\"49703936\"]\n  4 [size=\"83022507\", alpha=\"0.02\", expect_size=\"24906752\"] \n  4 -> 16 [size =\"24906752\"]\n  4 -> 18 [size =\"24906752\"]\n  4 -> 22 [size =\"24906752\"]\n  4 -> 26 [size =\"24906752\"]\n  4 -> 26 [size =\"24906752\"]\n  4 -> 27 [size =\"24906752\"]\n  5 [size=\"170492587\", alpha=\"0.04\", expect_size=\"51147776\"] \n  5 -> 15 [size =\"51147776\"]\n  5 -> 16 [size =\"51147776\"]\n  5 -> 21 [size =\"51147776\"]\n  5 -> 23 [size =\"51147776\"]\n  5 -> 24 [size =\"51147776\"]\n  5 -> 26 [size =\"51147776\"]\n  6 [size=\"17701547\", alpha=\"0.02\", expect_size=\"5310464\"] \n  6 -> 21 [size =\"5310464\"]\n  6 -> 24 [size =\"5310464\"]\n  6 -> 25 [size =\"5310464\"]\n  7 [size=\"110527147\", alpha=\"0.08\", expect_size=\"33158144\"] \n  7 -> 23 [size =\"33158144\"]\n  7 -> 24 [size =\"33158144\"]\n  8 [size=\"128747520\", alpha=\"0.05\", expect_size=\"38624256\"] \n  8 -> 18 [size =\"38624256\"]\n  8 -> 19 [size =\"38624256\"]\n  8 -> 22 [size =\"38624256\"]\n  8 -> 23 [size =\"38624256\"]\n  9 [size=\"122105173\", alpha=\"0.01\", expect_size=\"36631552\"] \n  9 -> 16 [size =\"36631552\"]\n  9 -> 19 [size =\"36631552\"]\n  9 -> 25 [size =\"36631552\"]\n  10 [size=\"91962027\", alpha=\"0.13\", expect_size=\"27588608\"] \n  10 -> 16 [size =\"27588608\"]\n  10 -> 17 [size =\"27588608\"]\n  10 -> 19 [size =\"27588608\"]\n  10 -> 20 [size =\"27588608\"]\n  10 -> 24 [size =\"27588608\"]\n  10 -> 25 [size =\"27588608\"]\n  10 -> 28 [size =\"27588608\"]\n  11 [size=\"64047787\", alpha=\"0.09\", expect_size=\"19214336\"] \n  11 -> 16 [size =\"19214336\"]\n  11 -> 21 [size =\"19214336\"]\n  11 -> 22 [size =\"19214336\"]\n  11 -> 24 [size =\"19214336\"]\n  11 -> 28 [size =\"19214336\"]\n  12 [size=\"23128747\", alpha=\"0.05\", expect_size=\"6938624\"] \n  12 -> 16 [size =\"6938624\"]\n  12 -> 17 [size =\"6938624\"]\n  12 -> 22 [size =\"6938624\"]\n  12 -> 24 [size =\"6938624\"]\n  12 -> 25 [size =\"6938624\"]\n  12 -> 27 [size =\"6938624\"]\n  12 -> 28 [size =\"6938624\"]\n  13 [size=\"33580373\", alpha=\"0.06\", expect_size=\"10074112\"] \n  13 -> 15 [size =\"10074112\"]\n  13 -> 16 [size =\"10074112\"]\n  13 -> 17 [size =\"10074112\"]\n  13 -> 18 [size =\"10074112\"]\n  13 -> 24 [size =\"10074112\"]\n  13 -> 25 [size =\"10074112\"]\n  13 -> 28 [size =\"10074112\"]\n  14 [size=\"162331307\", alpha=\"0.09\", expect_size=\"48699392\"] \n  14 -> 22 [size =\"48699392\"]\n  14 -> 23 [size =\"48699392\"]\n  14 -> 24 [size =\"48699392\"]\n  14 -> 26 [size =\"48699392\"]\n  14 -> 28 [size =\"48699392\"]\n  15 [size=\"22026240\", alpha=\"0.03\", expect_size=\"6607872\"] \n  15 -> 31 [size =\"6607872\"]\n  15 -> 32 [size =\"6607872\"]\n  15 -> 34 [size =\"6607872\"]\n  15 -> 35 [size =\"6607872\"]\n  15 -> 37 [size =\"6607872\"]\n  15 -> 40 [size =\"6607872\"]\n  16 [size=\"51974827\", alpha=\"0.07\", expect_size=\"15592448\"] \n  16 -> 30 [size =\"15592448\"]\n  16 -> 32 [size =\"15592448\"]\n  16 -> 35 [size =\"15592448\"]\n  16 -> 36 [size =\"15592448\"]\n  16 -> 37 [size =\"15592448\"]\n  16 -> 39 [size =\"15592448\"]\n  16 -> 41 [size =\"15592448\"]\n  17 [size=\"64283307\", alpha=\"0.15\", expect_size=\"19284992\"] \n  17 -> 32 [size =\"19284992\"]\n  17 -> 37 [size =\"19284992\"]\n  17 -> 39 [size =\"19284992\"]\n  17 -> 42 [size =\"19284992\"]\n  18 [size=\"129273173\", alpha=\"0.04\", expect_size=\"38781952\"] \n  18 -> 30 [size =\"38781952\"]\n  18 -> 34 [size =\"38781952\"]\n  18 -> 35 [size =\"38781952\"]\n  18 -> 40 [size =\"38781952\"]\n  18 -> 42 [size =\"38781952\"]\n  19 [size=\"166000640\", alpha=\"0.18\", expect_size=\"49800192\"] \n  19 -> 30 [size =\"49800192\"]\n  19 -> 31 [size =\"49800192\"]\n  19 -> 34 [size =\"49800192\"]\n  19 -> 39 [size =\"49800192\"]\n  19 -> 40 [size =\"49800192\"]\n  19 -> 42 [size =\"49800192\"]\n  20 [size=\"19978240\", alpha=\"0.09\", expect_size=\"5993472\"] \n  20 -> 31 [size =\"5993472\"]\n  20 -> 33 [size =\"5993472\"]\n  20 -> 34 [size =\"5993472\"]\n  20 -> 37 [size =\"5993472\"]\n  20 -> 40 [size =\"5993472\"]\n  20 -> 42 [size =\"5993472\"]\n  21 [size=\"120388267\", alpha=\"0.06\", expect_size=\"36116480\"] \n  21 -> 30 [size =\"36116480\"]\n  21 -> 33 [size =\"36116480\"]\n  21 -> 36 [size =\"36116480\"]\n  22 [size=\"30446933\", alpha=\"0.02\", expect_size=\"9134080\"] \n  22 -> 34 [size =\"9134080\"]\n  22 -> 35 [size =\"9134080\"]\n  22 -> 36 [size =\"9134080\"]\n  22 -> 37 [size =\"9134080\"]\n  23 [size=\"67201707\", alpha=\"0.17\", expect_size=\"20160512\"] \n  23 -> 30 [size =\"20160512\"]\n  23 -> 31 [size =\"20160512\"]\n  23 -> 34 [size =\"20160512\"]\n  23 -> 35 [size =\"20160512\"]\n  23 -> 36 [size =\"20160512\"]\n  23 -> 40 [size =\"20160512\"]\n  23 -> 42 [size =\"20160512\"]\n  24 [size=\"110680747\", alpha=\"0.20\", expect_size=\"33204224\"] \n  24 -> 35 [size =\"33204224\"]\n  24 -> 36 [size =\"33204224\"]\n  24 -> 37 [size =\"33204224\"]\n  24 -> 40 [size =\"33204224\"]\n  24 -> 42 [size =\"33204224\"]\n  25 [size=\"24999253\", alpha=\"0.02\", expect_size=\"7499776\"] \n  25 -> 32 [size =\"7499776\"]\n  25 -> 34 [size =\"7499776\"]\n  25 -> 35 [size =\"7499776\"]\n  25 -> 38 [size =\"7499776\"]\n  25 -> 41 [size =\"7499776\"]\n  25 -> 42 [size =\"7499776\"]\n  26 [size=\"48022187\", alpha=\"0.05\", expect_size=\"14406656\"] \n  26 -> 35 [size =\"14406656\"]\n  26 -> 36 [size =\"14406656\"]\n  26 -> 37 [size =\"14406656\"]\n  26 -> 40 [size =\"14406656\"]\n  26 -> 42 [size =\"14406656\"]\n  27 [size=\"103222613\", alpha=\"0.19\", expect_size=\"30966784\"] \n  27 -> 29 [size =\"30966784\"]\n  27 -> 32 [size =\"30966784\"]\n  27 -> 34 [size =\"30966784\"]\n  27 -> 37 [size =\"30966784\"]\n  28 [size=\"64764587\", alpha=\"0.08\", expect_size=\"19429376\"] \n  28 -> 32 [size =\"19429376\"]\n  28 -> 33 [size =\"19429376\"]\n  28 -> 34 [size =\"19429376\"]\n  28 -> 35 [size =\"19429376\"]\n  28 -> 37 [size =\"19429376\"]\n  29 [size=\"96460800\", alpha=\"0.10\", expect_size=\"28938240\"] \n  29 -> 44 [size =\"28938240\"]\n  30 [size=\"80267947\", alpha=\"0.01\", expect_size=\"24080384\"] \n  30 -> 43 [size =\"24080384\"]\n  30 -> 44 [size =\"24080384\"]\n  31 [size=\"150528000\", alpha=\"0.19\", expect_size=\"45158400\"] \n  32 [size=\"38382933\", alpha=\"0.17\", expect_size=\"11514880\"] \n  33 [size=\"51899733\", alpha=\"0.17\", expect_size=\"15569920\"] \n  33 -> 45 [size =\"15569920\"]\n  34 [size=\"24709120\", alpha=\"0.15\", expect_size=\"7412736\"] \n  35 [size=\"22353920\", alpha=\"0.14\", expect_size=\"6706176\"] \n  35 -> 43 [size =\"6706176\"]\n  36 [size=\"40570880\", alpha=\"0.18\", expect_size=\"12171264\"] \n  36 -> 43 [size =\"12171264\"]\n  36 -> 44 [size =\"12171264\"]\n  37 [size=\"79581867\", alpha=\"0.07\", expect_size=\"23874560\"] \n  37 -> 43 [size =\"23874560\"]\n  38 [size=\"75158187\", alpha=\"0.11\", expect_size=\"22547456\"] \n  39 [size=\"138574507\", alpha=\"0.14\", expect_size=\"41572352\"] \n  40 [size=\"59883520\", alpha=\"0.16\", expect_size=\"17965056\"] \n  40 -> 43 [size =\"17965056\"]\n  40 -> 44 [size =\"17965056\"]\n  41 [size=\"70864213\", alpha=\"0.12\", expect_size=\"21259264\"] \n  41 -> 43 [size =\"21259264\"]\n  42 [size=\"60801707\", alpha=\"0.10\", expect_size=\"18240512\"] \n  43 [size=\"35348480\", alpha=\"0.14\", expect_size=\"10604544\"] \n  44 [size=\"167898453\", alpha=\"0.10\", expect_size=\"50369536\"] \n  45 [size=\"131450880\", alpha=\"0.06\", expect_size=\"39435264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42233173\", alpha=\"0.01\", expect_size=\"12669952\"] \n  1 -> 2 [size =\"12669952\"]\n  2 [size=\"155695787\", alpha=\"0.07\", expect_size=\"46708736\"] \n  2 -> 3 [size =\"46708736\"]\n  3 [size=\"53705387\", alpha=\"0.08\", expect_size=\"16111616\"] \n  3 -> 4 [size =\"16111616\"]\n  4 [size=\"77264213\", alpha=\"0.01\", expect_size=\"23179264\"] \n  4 -> 5 [size =\"23179264\"]\n  5 [size=\"135369387\", alpha=\"0.18\", expect_size=\"40610816\"] \n  5 -> 6 [size =\"40610816\"]\n  6 [size=\"29696000\", alpha=\"0.16\", expect_size=\"8908800\"] \n  6 -> 7 [size =\"8908800\"]\n  7 [size=\"109868373\", alpha=\"0.13\", expect_size=\"32960512\"] \n  7 -> 8 [size =\"32960512\"]\n  8 [size=\"136608427\", alpha=\"0.09\", expect_size=\"40982528\"] \n  8 -> 9 [size =\"40982528\"]\n  9 [size=\"171298133\", alpha=\"0.10\", expect_size=\"51389440\"] \n  9 -> 10 [size =\"51389440\"]\n  10 [size=\"121586347\", alpha=\"0.03\", expect_size=\"36475904\"] \n  10 -> 11 [size =\"36475904\"]\n  11 [size=\"154125653\", alpha=\"0.17\", expect_size=\"46237696\"] \n  11 -> 12 [size =\"46237696\"]\n  12 [size=\"161365333\", alpha=\"0.02\", expect_size=\"48409600\"] \n  12 -> 13 [size =\"48409600\"]\n  13 [size=\"63023787\", alpha=\"0.11\", expect_size=\"18907136\"] \n  13 -> 14 [size =\"18907136\"]\n  14 [size=\"122190507\", alpha=\"0.18\", expect_size=\"36657152\"] \n  14 -> 15 [size =\"36657152\"]\n  15 [size=\"129587200\", alpha=\"0.17\", expect_size=\"38876160\"] \n  15 -> 16 [size =\"38876160\"]\n  16 [size=\"114292053\", alpha=\"0.03\", expect_size=\"34287616\"] \n  16 -> 17 [size =\"34287616\"]\n  17 [size=\"80349867\", alpha=\"0.17\", expect_size=\"24104960\"] \n  17 -> 18 [size =\"24104960\"]\n  18 [size=\"22009173\", alpha=\"0.16\", expect_size=\"6602752\"] \n  18 -> 19 [size =\"6602752\"]\n  19 [size=\"90661547\", alpha=\"0.08\", expect_size=\"27198464\"] \n  19 -> 20 [size =\"27198464\"]\n  20 [size=\"166225920\", alpha=\"0.19\", expect_size=\"49867776\"] \n  20 -> 21 [size =\"49867776\"]\n  21 [size=\"31945387\", alpha=\"0.14\", expect_size=\"9583616\"] \n  21 -> 22 [size =\"9583616\"]\n  22 [size=\"164089173\", alpha=\"0.06\", expect_size=\"49226752\"] \n  22 -> 23 [size =\"49226752\"]\n  23 [size=\"24381440\", alpha=\"0.03\", expect_size=\"7314432\"] \n  23 -> 24 [size =\"7314432\"]\n  24 [size=\"114213547\", alpha=\"0.07\", expect_size=\"34264064\"] \n  24 -> 25 [size =\"34264064\"]\n  25 [size=\"99133440\", alpha=\"0.07\", expect_size=\"29740032\"] \n  25 -> 26 [size =\"29740032\"]\n  26 [size=\"77581653\", alpha=\"0.08\", expect_size=\"23274496\"] \n  26 -> 27 [size =\"23274496\"]\n  27 [size=\"97583787\", alpha=\"0.00\", expect_size=\"29275136\"] \n  27 -> 28 [size =\"29275136\"]\n  28 [size=\"76977493\", alpha=\"0.08\", expect_size=\"23093248\"] \n  28 -> 29 [size =\"23093248\"]\n  29 [size=\"48728747\", alpha=\"0.15\", expect_size=\"14618624\"] \n  29 -> 30 [size =\"14618624\"]\n  30 [size=\"111400960\", alpha=\"0.16\", expect_size=\"33420288\"] \n  30 -> 31 [size =\"33420288\"]\n  31 [size=\"106779307\", alpha=\"0.14\", expect_size=\"32033792\"] \n  31 -> 32 [size =\"32033792\"]\n  32 [size=\"59627520\", alpha=\"0.10\", expect_size=\"17888256\"] \n  32 -> 33 [size =\"17888256\"]\n  33 [size=\"108165120\", alpha=\"0.12\", expect_size=\"32449536\"] \n  33 -> 34 [size =\"32449536\"]\n  34 [size=\"131334827\", alpha=\"0.08\", expect_size=\"39400448\"] \n  34 -> 35 [size =\"39400448\"]\n  35 [size=\"31648427\", alpha=\"0.18\", expect_size=\"9494528\"] \n  35 -> 36 [size =\"9494528\"]\n  36 [size=\"84278613\", alpha=\"0.19\", expect_size=\"25283584\"] \n  36 -> 37 [size =\"25283584\"]\n  37 [size=\"144165547\", alpha=\"0.09\", expect_size=\"43249664\"] \n  37 -> 38 [size =\"43249664\"]\n  38 [size=\"146418347\", alpha=\"0.20\", expect_size=\"43925504\"] \n  38 -> 39 [size =\"43925504\"]\n  39 [size=\"52882773\", alpha=\"0.20\", expect_size=\"15864832\"] \n  39 -> 40 [size =\"15864832\"]\n  40 [size=\"174667093\", alpha=\"0.19\", expect_size=\"52400128\"] \n  40 -> 41 [size =\"52400128\"]\n  41 [size=\"144025600\", alpha=\"0.19\", expect_size=\"43207680\"] \n  41 -> 42 [size =\"43207680\"]\n  42 [size=\"97607680\", alpha=\"0.18\", expect_size=\"29282304\"] \n  42 -> 43 [size =\"29282304\"]\n  43 [size=\"22019413\", alpha=\"0.19\", expect_size=\"6605824\"] \n  43 -> 44 [size =\"6605824\"]\n  44 [size=\"120094720\", alpha=\"0.11\", expect_size=\"36028416\"] \n  44 -> 45 [size =\"36028416\"]\n  45 [size=\"24688640\", alpha=\"0.14\", expect_size=\"7406592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61566293\", alpha=\"0.01\", expect_size=\"18469888\"] \n  1 -> 43 [size =\"18469888\"]\n  1 -> 44 [size =\"18469888\"]\n  1 -> 45 [size =\"18469888\"]\n  2 [size=\"123876693\", alpha=\"0.13\", expect_size=\"37163008\"] \n  2 -> 40 [size =\"37163008\"]\n  2 -> 42 [size =\"37163008\"]\n  2 -> 44 [size =\"37163008\"]\n  2 -> 45 [size =\"37163008\"]\n  3 [size=\"22429013\", alpha=\"0.20\", expect_size=\"6728704\"] \n  3 -> 44 [size =\"6728704\"]\n  3 -> 45 [size =\"6728704\"]\n  4 [size=\"126781440\", alpha=\"0.13\", expect_size=\"38034432\"] \n  4 -> 38 [size =\"38034432\"]\n  4 -> 43 [size =\"38034432\"]\n  4 -> 45 [size =\"38034432\"]\n  5 [size=\"119808000\", alpha=\"0.04\", expect_size=\"35942400\"] \n  5 -> 38 [size =\"35942400\"]\n  5 -> 44 [size =\"35942400\"]\n  6 [size=\"136123733\", alpha=\"0.03\", expect_size=\"40837120\"] \n  6 -> 38 [size =\"40837120\"]\n  6 -> 40 [size =\"40837120\"]\n  6 -> 43 [size =\"40837120\"]\n  6 -> 44 [size =\"40837120\"]\n  7 [size=\"17636693\", alpha=\"0.08\", expect_size=\"5291008\"] \n  7 -> 38 [size =\"5291008\"]\n  7 -> 43 [size =\"5291008\"]\n  7 -> 44 [size =\"5291008\"]\n  7 -> 45 [size =\"5291008\"]\n  8 [size=\"79923200\", alpha=\"0.13\", expect_size=\"23976960\"] \n  8 -> 38 [size =\"23976960\"]\n  8 -> 40 [size =\"23976960\"]\n  8 -> 41 [size =\"23976960\"]\n  8 -> 43 [size =\"23976960\"]\n  9 [size=\"142383787\", alpha=\"0.01\", expect_size=\"42715136\"] \n  9 -> 38 [size =\"42715136\"]\n  9 -> 39 [size =\"42715136\"]\n  9 -> 40 [size =\"42715136\"]\n  9 -> 43 [size =\"42715136\"]\n  9 -> 45 [size =\"42715136\"]\n  10 [size=\"168645973\", alpha=\"0.16\", expect_size=\"50593792\"] \n  10 -> 40 [size =\"50593792\"]\n  10 -> 45 [size =\"50593792\"]\n  11 [size=\"91221333\", alpha=\"0.08\", expect_size=\"27366400\"] \n  11 -> 40 [size =\"27366400\"]\n  11 -> 41 [size =\"27366400\"]\n  12 [size=\"95665493\", alpha=\"0.02\", expect_size=\"28699648\"] \n  12 -> 38 [size =\"28699648\"]\n  12 -> 40 [size =\"28699648\"]\n  12 -> 41 [size =\"28699648\"]\n  12 -> 43 [size =\"28699648\"]\n  12 -> 45 [size =\"28699648\"]\n  13 [size=\"39106560\", alpha=\"0.10\", expect_size=\"11731968\"] \n  13 -> 38 [size =\"11731968\"]\n  13 -> 40 [size =\"11731968\"]\n  13 -> 41 [size =\"11731968\"]\n  13 -> 43 [size =\"11731968\"]\n  13 -> 45 [size =\"11731968\"]\n  14 [size=\"36290560\", alpha=\"0.08\", expect_size=\"10887168\"] \n  14 -> 38 [size =\"10887168\"]\n  14 -> 40 [size =\"10887168\"]\n  14 -> 45 [size =\"10887168\"]\n  15 [size=\"134778880\", alpha=\"0.07\", expect_size=\"40433664\"] \n  15 -> 38 [size =\"40433664\"]\n  15 -> 40 [size =\"40433664\"]\n  15 -> 43 [size =\"40433664\"]\n  15 -> 44 [size =\"40433664\"]\n  16 [size=\"166567253\", alpha=\"0.07\", expect_size=\"49970176\"] \n  16 -> 38 [size =\"49970176\"]\n  16 -> 39 [size =\"49970176\"]\n  16 -> 40 [size =\"49970176\"]\n  16 -> 44 [size =\"49970176\"]\n  17 [size=\"33235627\", alpha=\"0.13\", expect_size=\"9970688\"] \n  17 -> 38 [size =\"9970688\"]\n  18 [size=\"97283413\", alpha=\"0.10\", expect_size=\"29185024\"] \n  18 -> 38 [size =\"29185024\"]\n  18 -> 39 [size =\"29185024\"]\n  18 -> 41 [size =\"29185024\"]\n  18 -> 43 [size =\"29185024\"]\n  19 [size=\"39096320\", alpha=\"0.10\", expect_size=\"11728896\"] \n  19 -> 38 [size =\"11728896\"]\n  19 -> 43 [size =\"11728896\"]\n  19 -> 44 [size =\"11728896\"]\n  20 [size=\"45711360\", alpha=\"0.11\", expect_size=\"13713408\"] \n  20 -> 38 [size =\"13713408\"]\n  20 -> 43 [size =\"13713408\"]\n  20 -> 44 [size =\"13713408\"]\n  20 -> 45 [size =\"13713408\"]\n  21 [size=\"169267200\", alpha=\"0.18\", expect_size=\"50780160\"] \n  21 -> 38 [size =\"50780160\"]\n  21 -> 43 [size =\"50780160\"]\n  21 -> 44 [size =\"50780160\"]\n  21 -> 45 [size =\"50780160\"]\n  22 [size=\"73400320\", alpha=\"0.18\", expect_size=\"22020096\"] \n  22 -> 38 [size =\"22020096\"]\n  22 -> 41 [size =\"22020096\"]\n  22 -> 43 [size =\"22020096\"]\n  22 -> 44 [size =\"22020096\"]\n  22 -> 45 [size =\"22020096\"]\n  23 [size=\"85510827\", alpha=\"0.19\", expect_size=\"25653248\"] \n  23 -> 38 [size =\"25653248\"]\n  23 -> 40 [size =\"25653248\"]\n  23 -> 43 [size =\"25653248\"]\n  23 -> 45 [size =\"25653248\"]\n  24 [size=\"161863680\", alpha=\"0.13\", expect_size=\"48559104\"] \n  24 -> 38 [size =\"48559104\"]\n  24 -> 41 [size =\"48559104\"]\n  24 -> 43 [size =\"48559104\"]\n  24 -> 45 [size =\"48559104\"]\n  25 [size=\"69594453\", alpha=\"0.01\", expect_size=\"20878336\"] \n  25 -> 38 [size =\"20878336\"]\n  25 -> 40 [size =\"20878336\"]\n  25 -> 41 [size =\"20878336\"]\n  25 -> 43 [size =\"20878336\"]\n  25 -> 44 [size =\"20878336\"]\n  26 [size=\"127016960\", alpha=\"0.04\", expect_size=\"38105088\"] \n  26 -> 38 [size =\"38105088\"]\n  26 -> 41 [size =\"38105088\"]\n  26 -> 43 [size =\"38105088\"]\n  27 [size=\"22415360\", alpha=\"0.07\", expect_size=\"6724608\"] \n  27 -> 38 [size =\"6724608\"]\n  27 -> 44 [size =\"6724608\"]\n  28 [size=\"122839040\", alpha=\"0.17\", expect_size=\"36851712\"] \n  28 -> 38 [size =\"36851712\"]\n  28 -> 40 [size =\"36851712\"]\n  28 -> 41 [size =\"36851712\"]\n  28 -> 44 [size =\"36851712\"]\n  29 [size=\"41096533\", alpha=\"0.04\", expect_size=\"12328960\"] \n  29 -> 38 [size =\"12328960\"]\n  29 -> 40 [size =\"12328960\"]\n  29 -> 41 [size =\"12328960\"]\n  29 -> 45 [size =\"12328960\"]\n  30 [size=\"121050453\", alpha=\"0.10\", expect_size=\"36315136\"] \n  30 -> 38 [size =\"36315136\"]\n  30 -> 40 [size =\"36315136\"]\n  30 -> 41 [size =\"36315136\"]\n  31 [size=\"51715413\", alpha=\"0.05\", expect_size=\"15514624\"] \n  31 -> 38 [size =\"15514624\"]\n  31 -> 40 [size =\"15514624\"]\n  31 -> 41 [size =\"15514624\"]\n  31 -> 42 [size =\"15514624\"]\n  31 -> 43 [size =\"15514624\"]\n  31 -> 44 [size =\"15514624\"]\n  31 -> 45 [size =\"15514624\"]\n  32 [size=\"34464427\", alpha=\"0.10\", expect_size=\"10339328\"] \n  32 -> 38 [size =\"10339328\"]\n  32 -> 40 [size =\"10339328\"]\n  32 -> 43 [size =\"10339328\"]\n  32 -> 45 [size =\"10339328\"]\n  33 [size=\"18418347\", alpha=\"0.18\", expect_size=\"5525504\"] \n  33 -> 38 [size =\"5525504\"]\n  33 -> 40 [size =\"5525504\"]\n  33 -> 43 [size =\"5525504\"]\n  33 -> 44 [size =\"5525504\"]\n  33 -> 45 [size =\"5525504\"]\n  34 [size=\"165812907\", alpha=\"0.09\", expect_size=\"49743872\"] \n  34 -> 38 [size =\"49743872\"]\n  34 -> 43 [size =\"49743872\"]\n  34 -> 45 [size =\"49743872\"]\n  35 [size=\"114100907\", alpha=\"0.14\", expect_size=\"34230272\"] \n  35 -> 38 [size =\"34230272\"]\n  35 -> 39 [size =\"34230272\"]\n  35 -> 40 [size =\"34230272\"]\n  35 -> 41 [size =\"34230272\"]\n  35 -> 43 [size =\"34230272\"]\n  35 -> 44 [size =\"34230272\"]\n  35 -> 45 [size =\"34230272\"]\n  36 [size=\"122897067\", alpha=\"0.18\", expect_size=\"36869120\"] \n  36 -> 38 [size =\"36869120\"]\n  36 -> 40 [size =\"36869120\"]\n  36 -> 41 [size =\"36869120\"]\n  36 -> 44 [size =\"36869120\"]\n  36 -> 45 [size =\"36869120\"]\n  37 [size=\"153562453\", alpha=\"0.04\", expect_size=\"46068736\"] \n  37 -> 44 [size =\"46068736\"]\n  37 -> 45 [size =\"46068736\"]\n  38 [size=\"48981333\", alpha=\"0.00\", expect_size=\"14694400\"] \n  39 [size=\"28876800\", alpha=\"0.20\", expect_size=\"8663040\"] \n  40 [size=\"60883627\", alpha=\"0.02\", expect_size=\"18265088\"] \n  41 [size=\"138878293\", alpha=\"0.04\", expect_size=\"41663488\"] \n  42 [size=\"22036480\", alpha=\"0.13\", expect_size=\"6610944\"] \n  43 [size=\"103127040\", alpha=\"0.11\", expect_size=\"30938112\"] \n  44 [size=\"89204053\", alpha=\"0.07\", expect_size=\"26761216\"] \n  45 [size=\"156375040\", alpha=\"0.10\", expect_size=\"46912512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156050773\", alpha=\"0.18\", expect_size=\"46815232\"] \n  1 -> 42 [size =\"46815232\"]\n  1 -> 44 [size =\"46815232\"]\n  2 [size=\"113841493\", alpha=\"0.04\", expect_size=\"34152448\"] \n  2 -> 42 [size =\"34152448\"]\n  3 [size=\"117507413\", alpha=\"0.10\", expect_size=\"35252224\"] \n  4 [size=\"19203413\", alpha=\"0.04\", expect_size=\"5761024\"] \n  4 -> 42 [size =\"5761024\"]\n  4 -> 43 [size =\"5761024\"]\n  5 [size=\"115715413\", alpha=\"0.01\", expect_size=\"34714624\"] \n  5 -> 40 [size =\"34714624\"]\n  5 -> 42 [size =\"34714624\"]\n  6 [size=\"138878293\", alpha=\"0.19\", expect_size=\"41663488\"] \n  6 -> 41 [size =\"41663488\"]\n  7 [size=\"116974933\", alpha=\"0.16\", expect_size=\"35092480\"] \n  7 -> 41 [size =\"35092480\"]\n  8 [size=\"36911787\", alpha=\"0.11\", expect_size=\"11073536\"] \n  8 -> 43 [size =\"11073536\"]\n  9 [size=\"48138240\", alpha=\"0.14\", expect_size=\"14441472\"] \n  9 -> 40 [size =\"14441472\"]\n  9 -> 43 [size =\"14441472\"]\n  10 [size=\"27921067\", alpha=\"0.13\", expect_size=\"8376320\"] \n  10 -> 43 [size =\"8376320\"]\n  11 [size=\"158395733\", alpha=\"0.18\", expect_size=\"47518720\"] \n  12 [size=\"141271040\", alpha=\"0.06\", expect_size=\"42381312\"] \n  13 [size=\"19251200\", alpha=\"0.08\", expect_size=\"5775360\"] \n  13 -> 45 [size =\"5775360\"]\n  14 [size=\"96890880\", alpha=\"0.02\", expect_size=\"29067264\"] \n  14 -> 44 [size =\"29067264\"]\n  15 [size=\"131635200\", alpha=\"0.19\", expect_size=\"39490560\"] \n  15 -> 41 [size =\"39490560\"]\n  16 [size=\"140257280\", alpha=\"0.16\", expect_size=\"42077184\"] \n  17 [size=\"134509227\", alpha=\"0.04\", expect_size=\"40352768\"] \n  18 [size=\"102731093\", alpha=\"0.20\", expect_size=\"30819328\"] \n  18 -> 41 [size =\"30819328\"]\n  18 -> 42 [size =\"30819328\"]\n  18 -> 44 [size =\"30819328\"]\n  18 -> 45 [size =\"30819328\"]\n  19 [size=\"35249493\", alpha=\"0.08\", expect_size=\"10574848\"] \n  19 -> 42 [size =\"10574848\"]\n  19 -> 44 [size =\"10574848\"]\n  20 [size=\"146292053\", alpha=\"0.13\", expect_size=\"43887616\"] \n  20 -> 39 [size =\"43887616\"]\n  21 [size=\"93149867\", alpha=\"0.16\", expect_size=\"27944960\"] \n  22 [size=\"77800107\", alpha=\"0.11\", expect_size=\"23340032\"] \n  23 [size=\"125791573\", alpha=\"0.19\", expect_size=\"37737472\"] \n  23 -> 41 [size =\"37737472\"]\n  24 [size=\"27637760\", alpha=\"0.07\", expect_size=\"8291328\"] \n  24 -> 39 [size =\"8291328\"]\n  25 [size=\"43089920\", alpha=\"0.07\", expect_size=\"12926976\"] \n  26 [size=\"36700160\", alpha=\"0.03\", expect_size=\"11010048\"] \n  26 -> 43 [size =\"11010048\"]\n  27 [size=\"163167573\", alpha=\"0.12\", expect_size=\"48950272\"] \n  27 -> 43 [size =\"48950272\"]\n  28 [size=\"37686613\", alpha=\"0.03\", expect_size=\"11305984\"] \n  29 [size=\"35618133\", alpha=\"0.18\", expect_size=\"10685440\"] \n  30 [size=\"96378880\", alpha=\"0.14\", expect_size=\"28913664\"] \n  31 [size=\"40683520\", alpha=\"0.08\", expect_size=\"12205056\"] \n  31 -> 43 [size =\"12205056\"]\n  32 [size=\"164386133\", alpha=\"0.18\", expect_size=\"49315840\"] \n  33 [size=\"92002987\", alpha=\"0.08\", expect_size=\"27600896\"] \n  33 -> 42 [size =\"27600896\"]\n  34 [size=\"80844800\", alpha=\"0.09\", expect_size=\"24253440\"] \n  34 -> 41 [size =\"24253440\"]\n  34 -> 45 [size =\"24253440\"]\n  35 [size=\"132645547\", alpha=\"0.03\", expect_size=\"39793664\"] \n  36 [size=\"31071573\", alpha=\"0.14\", expect_size=\"9321472\"] \n  36 -> 40 [size =\"9321472\"]\n  36 -> 42 [size =\"9321472\"]\n  37 [size=\"54814720\", alpha=\"0.19\", expect_size=\"16444416\"] \n  38 [size=\"146087253\", alpha=\"0.15\", expect_size=\"43826176\"] \n  38 -> 42 [size =\"43826176\"]\n  39 [size=\"167041707\", alpha=\"0.13\", expect_size=\"50112512\"] \n  40 [size=\"148343467\", alpha=\"0.08\", expect_size=\"44503040\"] \n  41 [size=\"100437333\", alpha=\"0.13\", expect_size=\"30131200\"] \n  42 [size=\"164242773\", alpha=\"0.05\", expect_size=\"49272832\"] \n  43 [size=\"148985173\", alpha=\"0.11\", expect_size=\"44695552\"] \n  44 [size=\"56442880\", alpha=\"0.18\", expect_size=\"16932864\"] \n  45 [size=\"123316907\", alpha=\"0.08\", expect_size=\"36995072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101946880\", alpha=\"0.17\", expect_size=\"40778752\"] \n  1 -> 7 [size =\"40778752\"]\n  1 -> 9 [size =\"40778752\"]\n  2 [size=\"17868800\", alpha=\"0.13\", expect_size=\"7147520\"] \n  2 -> 7 [size =\"7147520\"]\n  3 [size=\"48366080\", alpha=\"0.06\", expect_size=\"19346432\"] \n  3 -> 8 [size =\"19346432\"]\n  4 [size=\"101972480\", alpha=\"0.06\", expect_size=\"40788992\"] \n  4 -> 9 [size =\"40788992\"]\n  5 [size=\"76011520\", alpha=\"0.08\", expect_size=\"30404608\"] \n  5 -> 10 [size =\"30404608\"]\n  6 [size=\"104619520\", alpha=\"0.13\", expect_size=\"41847808\"] \n  6 -> 7 [size =\"41847808\"]\n  6 -> 9 [size =\"41847808\"]\n  7 [size=\"110878720\", alpha=\"0.05\", expect_size=\"44351488\"] \n  7 -> 11 [size =\"44351488\"]\n  7 -> 12 [size =\"44351488\"]\n  7 -> 13 [size =\"44351488\"]\n  7 -> 15 [size =\"44351488\"]\n  8 [size=\"76518400\", alpha=\"0.08\", expect_size=\"30607360\"] \n  8 -> 11 [size =\"30607360\"]\n  8 -> 12 [size =\"30607360\"]\n  9 [size=\"16998400\", alpha=\"0.13\", expect_size=\"6799360\"] \n  9 -> 11 [size =\"6799360\"]\n  9 -> 12 [size =\"6799360\"]\n  9 -> 15 [size =\"6799360\"]\n  10 [size=\"24693760\", alpha=\"0.00\", expect_size=\"9877504\"] \n  10 -> 11 [size =\"9877504\"]\n  10 -> 13 [size =\"9877504\"]\n  10 -> 14 [size =\"9877504\"]\n  10 -> 15 [size =\"9877504\"]\n  11 [size=\"114357760\", alpha=\"0.01\", expect_size=\"45743104\"] \n  11 -> 16 [size =\"45743104\"]\n  11 -> 17 [size =\"45743104\"]\n  11 -> 19 [size =\"45743104\"]\n  12 [size=\"96727040\", alpha=\"0.07\", expect_size=\"38690816\"] \n  12 -> 16 [size =\"38690816\"]\n  12 -> 18 [size =\"38690816\"]\n  12 -> 19 [size =\"38690816\"]\n  12 -> 20 [size =\"38690816\"]\n  13 [size=\"52687360\", alpha=\"0.06\", expect_size=\"21074944\"] \n  13 -> 16 [size =\"21074944\"]\n  13 -> 18 [size =\"21074944\"]\n  13 -> 19 [size =\"21074944\"]\n  14 [size=\"90798080\", alpha=\"0.02\", expect_size=\"36319232\"] \n  14 -> 16 [size =\"36319232\"]\n  14 -> 18 [size =\"36319232\"]\n  14 -> 19 [size =\"36319232\"]\n  15 [size=\"126712320\", alpha=\"0.17\", expect_size=\"50684928\"] \n  15 -> 16 [size =\"50684928\"]\n  15 -> 17 [size =\"50684928\"]\n  16 [size=\"55728640\", alpha=\"0.18\", expect_size=\"22291456\"] \n  16 -> 21 [size =\"22291456\"]\n  16 -> 22 [size =\"22291456\"]\n  16 -> 24 [size =\"22291456\"]\n  17 [size=\"14824960\", alpha=\"0.07\", expect_size=\"5929984\"] \n  17 -> 22 [size =\"5929984\"]\n  17 -> 22 [size =\"5929984\"]\n  17 -> 23 [size =\"5929984\"]\n  17 -> 24 [size =\"5929984\"]\n  17 -> 25 [size =\"5929984\"]\n  18 [size=\"43187200\", alpha=\"0.09\", expect_size=\"17274880\"] \n  18 -> 21 [size =\"17274880\"]\n  18 -> 22 [size =\"17274880\"]\n  18 -> 23 [size =\"17274880\"]\n  18 -> 24 [size =\"17274880\"]\n  18 -> 25 [size =\"17274880\"]\n  19 [size=\"90964480\", alpha=\"0.19\", expect_size=\"36385792\"] \n  19 -> 22 [size =\"36385792\"]\n  19 -> 23 [size =\"36385792\"]\n  19 -> 24 [size =\"36385792\"]\n  19 -> 25 [size =\"36385792\"]\n  20 [size=\"52600320\", alpha=\"0.02\", expect_size=\"21040128\"] \n  20 -> 24 [size =\"21040128\"]\n  21 [size=\"52794880\", alpha=\"0.20\", expect_size=\"21117952\"] \n  21 -> 26 [size =\"21117952\"]\n  21 -> 27 [size =\"21117952\"]\n  21 -> 28 [size =\"21117952\"]\n  21 -> 29 [size =\"21117952\"]\n  22 [size=\"56230400\", alpha=\"0.19\", expect_size=\"22492160\"] \n  22 -> 26 [size =\"22492160\"]\n  22 -> 27 [size =\"22492160\"]\n  22 -> 28 [size =\"22492160\"]\n  23 [size=\"100024320\", alpha=\"0.03\", expect_size=\"40009728\"] \n  23 -> 26 [size =\"40009728\"]\n  23 -> 27 [size =\"40009728\"]\n  23 -> 29 [size =\"40009728\"]\n  24 [size=\"18654720\", alpha=\"0.03\", expect_size=\"7461888\"] \n  24 -> 26 [size =\"7461888\"]\n  24 -> 27 [size =\"7461888\"]\n  24 -> 28 [size =\"7461888\"]\n  25 [size=\"33077760\", alpha=\"0.13\", expect_size=\"13231104\"] \n  25 -> 26 [size =\"13231104\"]\n  25 -> 27 [size =\"13231104\"]\n  25 -> 28 [size =\"13231104\"]\n  26 [size=\"16012800\", alpha=\"0.19\", expect_size=\"6405120\"] \n  26 -> 30 [size =\"6405120\"]\n  26 -> 34 [size =\"6405120\"]\n  26 -> 35 [size =\"6405120\"]\n  27 [size=\"124531200\", alpha=\"0.02\", expect_size=\"49812480\"] \n  27 -> 30 [size =\"49812480\"]\n  27 -> 31 [size =\"49812480\"]\n  27 -> 33 [size =\"49812480\"]\n  28 [size=\"48143360\", alpha=\"0.15\", expect_size=\"19257344\"] \n  28 -> 30 [size =\"19257344\"]\n  28 -> 31 [size =\"19257344\"]\n  28 -> 32 [size =\"19257344\"]\n  28 -> 33 [size =\"19257344\"]\n  29 [size=\"103057920\", alpha=\"0.09\", expect_size=\"41223168\"] \n  29 -> 30 [size =\"41223168\"]\n  29 -> 31 [size =\"41223168\"]\n  29 -> 34 [size =\"41223168\"]\n  29 -> 35 [size =\"41223168\"]\n  30 [size=\"99310080\", alpha=\"0.04\", expect_size=\"39724032\"] \n  30 -> 36 [size =\"39724032\"]\n  30 -> 37 [size =\"39724032\"]\n  30 -> 38 [size =\"39724032\"]\n  31 [size=\"111879680\", alpha=\"0.17\", expect_size=\"44751872\"] \n  31 -> 36 [size =\"44751872\"]\n  31 -> 37 [size =\"44751872\"]\n  32 [size=\"111639040\", alpha=\"0.05\", expect_size=\"44655616\"] \n  32 -> 36 [size =\"44655616\"]\n  32 -> 37 [size =\"44655616\"]\n  32 -> 38 [size =\"44655616\"]\n  32 -> 39 [size =\"44655616\"]\n  33 [size=\"103352320\", alpha=\"0.18\", expect_size=\"41340928\"] \n  33 -> 36 [size =\"41340928\"]\n  33 -> 37 [size =\"41340928\"]\n  33 -> 38 [size =\"41340928\"]\n  33 -> 39 [size =\"41340928\"]\n  33 -> 40 [size =\"41340928\"]\n  34 [size=\"122278400\", alpha=\"0.05\", expect_size=\"48911360\"] \n  34 -> 37 [size =\"48911360\"]\n  34 -> 38 [size =\"48911360\"]\n  34 -> 39 [size =\"48911360\"]\n  34 -> 40 [size =\"48911360\"]\n  34 -> 40 [size =\"48911360\"]\n  35 [size=\"21355520\", alpha=\"0.12\", expect_size=\"8542208\"] \n  35 -> 36 [size =\"8542208\"]\n  35 -> 37 [size =\"8542208\"]\n  35 -> 39 [size =\"8542208\"]\n  35 -> 40 [size =\"8542208\"]\n  36 [size=\"99417600\", alpha=\"0.05\", expect_size=\"39767040\"] \n  36 -> 41 [size =\"39767040\"]\n  36 -> 43 [size =\"39767040\"]\n  36 -> 44 [size =\"39767040\"]\n  37 [size=\"94087680\", alpha=\"0.19\", expect_size=\"37635072\"] \n  37 -> 41 [size =\"37635072\"]\n  37 -> 42 [size =\"37635072\"]\n  37 -> 43 [size =\"37635072\"]\n  37 -> 44 [size =\"37635072\"]\n  38 [size=\"103139840\", alpha=\"0.18\", expect_size=\"41255936\"] \n  38 -> 42 [size =\"41255936\"]\n  38 -> 43 [size =\"41255936\"]\n  38 -> 45 [size =\"41255936\"]\n  39 [size=\"72015360\", alpha=\"0.10\", expect_size=\"28806144\"] \n  39 -> 43 [size =\"28806144\"]\n  39 -> 45 [size =\"28806144\"]\n  40 [size=\"122575360\", alpha=\"0.09\", expect_size=\"49030144\"] \n  40 -> 43 [size =\"49030144\"]\n  40 -> 44 [size =\"49030144\"]\n  41 [size=\"30476800\", alpha=\"0.14\", expect_size=\"12190720\"] \n  42 [size=\"14937600\", alpha=\"0.07\", expect_size=\"5975040\"] \n  43 [size=\"41610240\", alpha=\"0.15\", expect_size=\"16644096\"] \n  44 [size=\"32112640\", alpha=\"0.03\", expect_size=\"12845056\"] \n  45 [size=\"64138240\", alpha=\"0.15\", expect_size=\"25655296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28736000\", alpha=\"0.07\", expect_size=\"11494400\"] \n  1 -> 14 [size =\"11494400\"]\n  1 -> 15 [size =\"11494400\"]\n  1 -> 16 [size =\"11494400\"]\n  1 -> 17 [size =\"11494400\"]\n  1 -> 18 [size =\"11494400\"]\n  1 -> 21 [size =\"11494400\"]\n  1 -> 23 [size =\"11494400\"]\n  1 -> 24 [size =\"11494400\"]\n  2 [size=\"120535040\", alpha=\"0.08\", expect_size=\"48214016\"] \n  2 -> 15 [size =\"48214016\"]\n  2 -> 16 [size =\"48214016\"]\n  2 -> 16 [size =\"48214016\"]\n  2 -> 17 [size =\"48214016\"]\n  2 -> 19 [size =\"48214016\"]\n  2 -> 20 [size =\"48214016\"]\n  2 -> 21 [size =\"48214016\"]\n  2 -> 23 [size =\"48214016\"]\n  3 [size=\"76700160\", alpha=\"0.17\", expect_size=\"30680064\"] \n  3 -> 13 [size =\"30680064\"]\n  3 -> 14 [size =\"30680064\"]\n  3 -> 17 [size =\"30680064\"]\n  3 -> 19 [size =\"30680064\"]\n  3 -> 23 [size =\"30680064\"]\n  3 -> 24 [size =\"30680064\"]\n  4 [size=\"123645440\", alpha=\"0.04\", expect_size=\"49458176\"] \n  4 -> 13 [size =\"49458176\"]\n  4 -> 15 [size =\"49458176\"]\n  4 -> 18 [size =\"49458176\"]\n  4 -> 21 [size =\"49458176\"]\n  4 -> 23 [size =\"49458176\"]\n  4 -> 24 [size =\"49458176\"]\n  5 [size=\"106542080\", alpha=\"0.12\", expect_size=\"42616832\"] \n  5 -> 18 [size =\"42616832\"]\n  5 -> 19 [size =\"42616832\"]\n  5 -> 21 [size =\"42616832\"]\n  5 -> 24 [size =\"42616832\"]\n  5 -> 25 [size =\"42616832\"]\n  6 [size=\"27691520\", alpha=\"0.02\", expect_size=\"11076608\"] \n  6 -> 15 [size =\"11076608\"]\n  6 -> 18 [size =\"11076608\"]\n  6 -> 24 [size =\"11076608\"]\n  6 -> 25 [size =\"11076608\"]\n  7 [size=\"27770880\", alpha=\"0.14\", expect_size=\"11108352\"] \n  7 -> 13 [size =\"11108352\"]\n  7 -> 15 [size =\"11108352\"]\n  7 -> 19 [size =\"11108352\"]\n  7 -> 20 [size =\"11108352\"]\n  8 [size=\"13803520\", alpha=\"0.04\", expect_size=\"5521408\"] \n  8 -> 13 [size =\"5521408\"]\n  8 -> 14 [size =\"5521408\"]\n  8 -> 16 [size =\"5521408\"]\n  8 -> 19 [size =\"5521408\"]\n  8 -> 24 [size =\"5521408\"]\n  9 [size=\"83504640\", alpha=\"0.15\", expect_size=\"33401856\"] \n  9 -> 13 [size =\"33401856\"]\n  9 -> 14 [size =\"33401856\"]\n  9 -> 19 [size =\"33401856\"]\n  9 -> 24 [size =\"33401856\"]\n  9 -> 25 [size =\"33401856\"]\n  10 [size=\"129845760\", alpha=\"0.17\", expect_size=\"51938304\"] \n  10 -> 13 [size =\"51938304\"]\n  10 -> 14 [size =\"51938304\"]\n  10 -> 16 [size =\"51938304\"]\n  10 -> 17 [size =\"51938304\"]\n  10 -> 21 [size =\"51938304\"]\n  10 -> 23 [size =\"51938304\"]\n  10 -> 25 [size =\"51938304\"]\n  11 [size=\"73738240\", alpha=\"0.07\", expect_size=\"29495296\"] \n  11 -> 14 [size =\"29495296\"]\n  11 -> 14 [size =\"29495296\"]\n  11 -> 15 [size =\"29495296\"]\n  11 -> 16 [size =\"29495296\"]\n  11 -> 17 [size =\"29495296\"]\n  11 -> 18 [size =\"29495296\"]\n  11 -> 21 [size =\"29495296\"]\n  11 -> 23 [size =\"29495296\"]\n  11 -> 24 [size =\"29495296\"]\n  11 -> 25 [size =\"29495296\"]\n  12 [size=\"115130880\", alpha=\"0.04\", expect_size=\"46052352\"] \n  12 -> 14 [size =\"46052352\"]\n  12 -> 16 [size =\"46052352\"]\n  12 -> 17 [size =\"46052352\"]\n  12 -> 19 [size =\"46052352\"]\n  12 -> 21 [size =\"46052352\"]\n  12 -> 22 [size =\"46052352\"]\n  12 -> 24 [size =\"46052352\"]\n  12 -> 25 [size =\"46052352\"]\n  13 [size=\"46018560\", alpha=\"0.07\", expect_size=\"18407424\"] \n  13 -> 29 [size =\"18407424\"]\n  13 -> 30 [size =\"18407424\"]\n  13 -> 30 [size =\"18407424\"]\n  13 -> 32 [size =\"18407424\"]\n  14 [size=\"26293760\", alpha=\"0.09\", expect_size=\"10517504\"] \n  14 -> 26 [size =\"10517504\"]\n  14 -> 29 [size =\"10517504\"]\n  15 [size=\"50554880\", alpha=\"0.16\", expect_size=\"20221952\"] \n  15 -> 27 [size =\"20221952\"]\n  16 [size=\"124231680\", alpha=\"0.14\", expect_size=\"49692672\"] \n  16 -> 27 [size =\"49692672\"]\n  16 -> 32 [size =\"49692672\"]\n  17 [size=\"20805120\", alpha=\"0.17\", expect_size=\"8322048\"] \n  17 -> 30 [size =\"8322048\"]\n  17 -> 31 [size =\"8322048\"]\n  18 [size=\"104857600\", alpha=\"0.08\", expect_size=\"41943040\"] \n  18 -> 29 [size =\"41943040\"]\n  18 -> 30 [size =\"41943040\"]\n  19 [size=\"127575040\", alpha=\"0.15\", expect_size=\"51030016\"] \n  19 -> 29 [size =\"51030016\"]\n  19 -> 30 [size =\"51030016\"]\n  19 -> 32 [size =\"51030016\"]\n  20 [size=\"96512000\", alpha=\"0.11\", expect_size=\"38604800\"] \n  20 -> 28 [size =\"38604800\"]\n  21 [size=\"76518400\", alpha=\"0.10\", expect_size=\"30607360\"] \n  21 -> 33 [size =\"30607360\"]\n  22 [size=\"115366400\", alpha=\"0.08\", expect_size=\"46146560\"] \n  22 -> 29 [size =\"46146560\"]\n  22 -> 32 [size =\"46146560\"]\n  23 [size=\"19914240\", alpha=\"0.16\", expect_size=\"7965696\"] \n  23 -> 29 [size =\"7965696\"]\n  23 -> 32 [size =\"7965696\"]\n  24 [size=\"61670400\", alpha=\"0.03\", expect_size=\"24668160\"] \n  24 -> 29 [size =\"24668160\"]\n  24 -> 31 [size =\"24668160\"]\n  25 [size=\"114839040\", alpha=\"0.05\", expect_size=\"45935616\"] \n  25 -> 28 [size =\"45935616\"]\n  25 -> 29 [size =\"45935616\"]\n  25 -> 30 [size =\"45935616\"]\n  26 [size=\"89710080\", alpha=\"0.11\", expect_size=\"35884032\"] \n  26 -> 34 [size =\"35884032\"]\n  26 -> 36 [size =\"35884032\"]\n  26 -> 37 [size =\"35884032\"]\n  26 -> 38 [size =\"35884032\"]\n  26 -> 42 [size =\"35884032\"]\n  26 -> 45 [size =\"35884032\"]\n  27 [size=\"56476160\", alpha=\"0.18\", expect_size=\"22590464\"] \n  27 -> 39 [size =\"22590464\"]\n  27 -> 40 [size =\"22590464\"]\n  27 -> 41 [size =\"22590464\"]\n  27 -> 43 [size =\"22590464\"]\n  27 -> 45 [size =\"22590464\"]\n  28 [size=\"37360640\", alpha=\"0.06\", expect_size=\"14944256\"] \n  28 -> 35 [size =\"14944256\"]\n  28 -> 37 [size =\"14944256\"]\n  28 -> 40 [size =\"14944256\"]\n  28 -> 41 [size =\"14944256\"]\n  28 -> 43 [size =\"14944256\"]\n  28 -> 44 [size =\"14944256\"]\n  29 [size=\"82954240\", alpha=\"0.06\", expect_size=\"33181696\"] \n  29 -> 35 [size =\"33181696\"]\n  29 -> 37 [size =\"33181696\"]\n  29 -> 38 [size =\"33181696\"]\n  29 -> 40 [size =\"33181696\"]\n  30 [size=\"50682880\", alpha=\"0.06\", expect_size=\"20273152\"] \n  30 -> 37 [size =\"20273152\"]\n  30 -> 38 [size =\"20273152\"]\n  30 -> 39 [size =\"20273152\"]\n  30 -> 40 [size =\"20273152\"]\n  30 -> 44 [size =\"20273152\"]\n  30 -> 45 [size =\"20273152\"]\n  31 [size=\"115857920\", alpha=\"0.15\", expect_size=\"46343168\"] \n  31 -> 35 [size =\"46343168\"]\n  31 -> 39 [size =\"46343168\"]\n  31 -> 41 [size =\"46343168\"]\n  31 -> 42 [size =\"46343168\"]\n  31 -> 44 [size =\"46343168\"]\n  32 [size=\"58186240\", alpha=\"0.02\", expect_size=\"23274496\"] \n  32 -> 36 [size =\"23274496\"]\n  32 -> 38 [size =\"23274496\"]\n  32 -> 39 [size =\"23274496\"]\n  32 -> 42 [size =\"23274496\"]\n  32 -> 45 [size =\"23274496\"]\n  33 [size=\"103057920\", alpha=\"0.15\", expect_size=\"41223168\"] \n  33 -> 36 [size =\"41223168\"]\n  33 -> 37 [size =\"41223168\"]\n  33 -> 38 [size =\"41223168\"]\n  33 -> 42 [size =\"41223168\"]\n  34 [size=\"78138880\", alpha=\"0.10\", expect_size=\"31255552\"] \n  35 [size=\"93967360\", alpha=\"0.11\", expect_size=\"37586944\"] \n  36 [size=\"126018560\", alpha=\"0.12\", expect_size=\"50407424\"] \n  37 [size=\"70909440\", alpha=\"0.13\", expect_size=\"28363776\"] \n  38 [size=\"61273600\", alpha=\"0.10\", expect_size=\"24509440\"] \n  39 [size=\"97804800\", alpha=\"0.06\", expect_size=\"39121920\"] \n  40 [size=\"14976000\", alpha=\"0.17\", expect_size=\"5990400\"] \n  41 [size=\"47490560\", alpha=\"0.18\", expect_size=\"18996224\"] \n  42 [size=\"20049920\", alpha=\"0.17\", expect_size=\"8019968\"] \n  43 [size=\"34677760\", alpha=\"0.17\", expect_size=\"13871104\"] \n  44 [size=\"124288000\", alpha=\"0.05\", expect_size=\"49715200\"] \n  45 [size=\"66140160\", alpha=\"0.10\", expect_size=\"26456064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72140800\", alpha=\"0.01\", expect_size=\"28856320\"] \n  1 -> 14 [size =\"28856320\"]\n  1 -> 15 [size =\"28856320\"]\n  1 -> 19 [size =\"28856320\"]\n  1 -> 22 [size =\"28856320\"]\n  2 [size=\"13171200\", alpha=\"0.12\", expect_size=\"5268480\"] \n  2 -> 11 [size =\"5268480\"]\n  2 -> 18 [size =\"5268480\"]\n  3 [size=\"19929600\", alpha=\"0.13\", expect_size=\"7971840\"] \n  3 -> 13 [size =\"7971840\"]\n  3 -> 18 [size =\"7971840\"]\n  3 -> 19 [size =\"7971840\"]\n  3 -> 25 [size =\"7971840\"]\n  3 -> 26 [size =\"7971840\"]\n  4 [size=\"76856320\", alpha=\"0.13\", expect_size=\"30742528\"] \n  4 -> 11 [size =\"30742528\"]\n  4 -> 12 [size =\"30742528\"]\n  4 -> 13 [size =\"30742528\"]\n  4 -> 15 [size =\"30742528\"]\n  4 -> 19 [size =\"30742528\"]\n  4 -> 22 [size =\"30742528\"]\n  4 -> 24 [size =\"30742528\"]\n  5 [size=\"31400960\", alpha=\"0.10\", expect_size=\"12560384\"] \n  5 -> 12 [size =\"12560384\"]\n  5 -> 16 [size =\"12560384\"]\n  5 -> 21 [size =\"12560384\"]\n  5 -> 22 [size =\"12560384\"]\n  5 -> 23 [size =\"12560384\"]\n  5 -> 25 [size =\"12560384\"]\n  6 [size=\"124843520\", alpha=\"0.05\", expect_size=\"49937408\"] \n  6 -> 21 [size =\"49937408\"]\n  6 -> 22 [size =\"49937408\"]\n  6 -> 24 [size =\"49937408\"]\n  6 -> 25 [size =\"49937408\"]\n  7 [size=\"75622400\", alpha=\"0.03\", expect_size=\"30248960\"] \n  7 -> 12 [size =\"30248960\"]\n  7 -> 13 [size =\"30248960\"]\n  7 -> 20 [size =\"30248960\"]\n  7 -> 21 [size =\"30248960\"]\n  7 -> 23 [size =\"30248960\"]\n  7 -> 25 [size =\"30248960\"]\n  8 [size=\"126909440\", alpha=\"0.02\", expect_size=\"50763776\"] \n  8 -> 18 [size =\"50763776\"]\n  8 -> 19 [size =\"50763776\"]\n  8 -> 20 [size =\"50763776\"]\n  8 -> 24 [size =\"50763776\"]\n  9 [size=\"105387520\", alpha=\"0.09\", expect_size=\"42155008\"] \n  9 -> 12 [size =\"42155008\"]\n  9 -> 14 [size =\"42155008\"]\n  9 -> 15 [size =\"42155008\"]\n  9 -> 18 [size =\"42155008\"]\n  9 -> 20 [size =\"42155008\"]\n  9 -> 22 [size =\"42155008\"]\n  9 -> 23 [size =\"42155008\"]\n  10 [size=\"118351360\", alpha=\"0.13\", expect_size=\"47340544\"] \n  10 -> 14 [size =\"47340544\"]\n  10 -> 15 [size =\"47340544\"]\n  10 -> 17 [size =\"47340544\"]\n  10 -> 18 [size =\"47340544\"]\n  10 -> 19 [size =\"47340544\"]\n  10 -> 22 [size =\"47340544\"]\n  11 [size=\"19852800\", alpha=\"0.02\", expect_size=\"7941120\"] \n  11 -> 27 [size =\"7941120\"]\n  11 -> 31 [size =\"7941120\"]\n  11 -> 35 [size =\"7941120\"]\n  11 -> 36 [size =\"7941120\"]\n  12 [size=\"28528640\", alpha=\"0.12\", expect_size=\"11411456\"] \n  12 -> 27 [size =\"11411456\"]\n  12 -> 30 [size =\"11411456\"]\n  12 -> 33 [size =\"11411456\"]\n  13 [size=\"97456640\", alpha=\"0.12\", expect_size=\"38982656\"] \n  13 -> 30 [size =\"38982656\"]\n  13 -> 31 [size =\"38982656\"]\n  13 -> 35 [size =\"38982656\"]\n  14 [size=\"54576640\", alpha=\"0.13\", expect_size=\"21830656\"] \n  14 -> 33 [size =\"21830656\"]\n  14 -> 35 [size =\"21830656\"]\n  14 -> 36 [size =\"21830656\"]\n  15 [size=\"128465920\", alpha=\"0.00\", expect_size=\"51386368\"] \n  15 -> 27 [size =\"51386368\"]\n  15 -> 33 [size =\"51386368\"]\n  16 [size=\"71009280\", alpha=\"0.12\", expect_size=\"28403712\"] \n  16 -> 30 [size =\"28403712\"]\n  17 [size=\"98631680\", alpha=\"0.19\", expect_size=\"39452672\"] \n  17 -> 32 [size =\"39452672\"]\n  17 -> 35 [size =\"39452672\"]\n  18 [size=\"119249920\", alpha=\"0.09\", expect_size=\"47699968\"] \n  18 -> 29 [size =\"47699968\"]\n  18 -> 33 [size =\"47699968\"]\n  18 -> 34 [size =\"47699968\"]\n  19 [size=\"129553920\", alpha=\"0.08\", expect_size=\"51821568\"] \n  19 -> 30 [size =\"51821568\"]\n  19 -> 31 [size =\"51821568\"]\n  20 [size=\"67412480\", alpha=\"0.04\", expect_size=\"26964992\"] \n  20 -> 27 [size =\"26964992\"]\n  20 -> 29 [size =\"26964992\"]\n  20 -> 31 [size =\"26964992\"]\n  20 -> 37 [size =\"26964992\"]\n  21 [size=\"28861440\", alpha=\"0.09\", expect_size=\"11544576\"] \n  21 -> 30 [size =\"11544576\"]\n  21 -> 35 [size =\"11544576\"]\n  22 [size=\"42370560\", alpha=\"0.15\", expect_size=\"16948224\"] \n  22 -> 29 [size =\"16948224\"]\n  22 -> 30 [size =\"16948224\"]\n  22 -> 33 [size =\"16948224\"]\n  22 -> 35 [size =\"16948224\"]\n  22 -> 36 [size =\"16948224\"]\n  23 [size=\"111731200\", alpha=\"0.02\", expect_size=\"44692480\"] \n  23 -> 29 [size =\"44692480\"]\n  23 -> 30 [size =\"44692480\"]\n  23 -> 33 [size =\"44692480\"]\n  23 -> 35 [size =\"44692480\"]\n  24 [size=\"61713920\", alpha=\"0.19\", expect_size=\"24685568\"] \n  24 -> 30 [size =\"24685568\"]\n  24 -> 30 [size =\"24685568\"]\n  24 -> 33 [size =\"24685568\"]\n  24 -> 35 [size =\"24685568\"]\n  24 -> 36 [size =\"24685568\"]\n  25 [size=\"21268480\", alpha=\"0.00\", expect_size=\"8507392\"] \n  25 -> 27 [size =\"8507392\"]\n  25 -> 32 [size =\"8507392\"]\n  25 -> 33 [size =\"8507392\"]\n  25 -> 37 [size =\"8507392\"]\n  26 [size=\"24002560\", alpha=\"0.20\", expect_size=\"9601024\"] \n  26 -> 27 [size =\"9601024\"]\n  26 -> 28 [size =\"9601024\"]\n  26 -> 37 [size =\"9601024\"]\n  27 [size=\"94835200\", alpha=\"0.10\", expect_size=\"37934080\"] \n  27 -> 38 [size =\"37934080\"]\n  27 -> 44 [size =\"37934080\"]\n  28 [size=\"90557440\", alpha=\"0.20\", expect_size=\"36222976\"] \n  28 -> 39 [size =\"36222976\"]\n  28 -> 44 [size =\"36222976\"]\n  29 [size=\"23685120\", alpha=\"0.05\", expect_size=\"9474048\"] \n  29 -> 41 [size =\"9474048\"]\n  29 -> 43 [size =\"9474048\"]\n  30 [size=\"71109120\", alpha=\"0.08\", expect_size=\"28443648\"] \n  30 -> 38 [size =\"28443648\"]\n  30 -> 40 [size =\"28443648\"]\n  30 -> 41 [size =\"28443648\"]\n  30 -> 43 [size =\"28443648\"]\n  30 -> 44 [size =\"28443648\"]\n  30 -> 45 [size =\"28443648\"]\n  31 [size=\"92710400\", alpha=\"0.12\", expect_size=\"37084160\"] \n  31 -> 38 [size =\"37084160\"]\n  31 -> 40 [size =\"37084160\"]\n  31 -> 45 [size =\"37084160\"]\n  32 [size=\"29562880\", alpha=\"0.19\", expect_size=\"11825152\"] \n  32 -> 38 [size =\"11825152\"]\n  32 -> 44 [size =\"11825152\"]\n  33 [size=\"117657600\", alpha=\"0.20\", expect_size=\"47063040\"] \n  33 -> 38 [size =\"47063040\"]\n  33 -> 44 [size =\"47063040\"]\n  33 -> 45 [size =\"47063040\"]\n  34 [size=\"127892480\", alpha=\"0.08\", expect_size=\"51156992\"] \n  34 -> 42 [size =\"51156992\"]\n  34 -> 45 [size =\"51156992\"]\n  35 [size=\"124016640\", alpha=\"0.16\", expect_size=\"49606656\"] \n  35 -> 39 [size =\"49606656\"]\n  35 -> 41 [size =\"49606656\"]\n  35 -> 45 [size =\"49606656\"]\n  36 [size=\"124323840\", alpha=\"0.13\", expect_size=\"49729536\"] \n  36 -> 38 [size =\"49729536\"]\n  36 -> 39 [size =\"49729536\"]\n  36 -> 42 [size =\"49729536\"]\n  37 [size=\"122588160\", alpha=\"0.05\", expect_size=\"49035264\"] \n  37 -> 38 [size =\"49035264\"]\n  37 -> 43 [size =\"49035264\"]\n  37 -> 45 [size =\"49035264\"]\n  38 [size=\"63362560\", alpha=\"0.15\", expect_size=\"25345024\"] \n  39 [size=\"60446720\", alpha=\"0.05\", expect_size=\"24178688\"] \n  40 [size=\"88161280\", alpha=\"0.04\", expect_size=\"35264512\"] \n  41 [size=\"15818240\", alpha=\"0.05\", expect_size=\"6327296\"] \n  42 [size=\"86100480\", alpha=\"0.12\", expect_size=\"34440192\"] \n  43 [size=\"78494720\", alpha=\"0.15\", expect_size=\"31397888\"] \n  44 [size=\"77360640\", alpha=\"0.07\", expect_size=\"30944256\"] \n  45 [size=\"124165120\", alpha=\"0.20\", expect_size=\"49666048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164065280\", alpha=\"0.12\", expect_size=\"49219584\"] \n  1 -> 3 [size =\"49219584\"]\n  1 -> 4 [size =\"49219584\"]\n  1 -> 5 [size =\"49219584\"]\n  2 [size=\"73420800\", alpha=\"0.02\", expect_size=\"22026240\"] \n  2 -> 5 [size =\"22026240\"]\n  3 [size=\"125327360\", alpha=\"0.16\", expect_size=\"37598208\"] \n  3 -> 7 [size =\"37598208\"]\n  4 [size=\"169451520\", alpha=\"0.19\", expect_size=\"50835456\"] \n  4 -> 6 [size =\"50835456\"]\n  5 [size=\"74226347\", alpha=\"0.12\", expect_size=\"22267904\"] \n  5 -> 6 [size =\"22267904\"]\n  6 [size=\"137690453\", alpha=\"0.09\", expect_size=\"41307136\"] \n  6 -> 8 [size =\"41307136\"]\n  6 -> 9 [size =\"41307136\"]\n  7 [size=\"86749867\", alpha=\"0.11\", expect_size=\"26024960\"] \n  7 -> 9 [size =\"26024960\"]\n  8 [size=\"63143253\", alpha=\"0.11\", expect_size=\"18942976\"] \n  8 -> 12 [size =\"18942976\"]\n  9 [size=\"149480107\", alpha=\"0.07\", expect_size=\"44844032\"] \n  9 -> 10 [size =\"44844032\"]\n  9 -> 11 [size =\"44844032\"]\n  9 -> 12 [size =\"44844032\"]\n  10 [size=\"144192853\", alpha=\"0.18\", expect_size=\"43257856\"] \n  10 -> 13 [size =\"43257856\"]\n  10 -> 14 [size =\"43257856\"]\n  10 -> 15 [size =\"43257856\"]\n  11 [size=\"18114560\", alpha=\"0.08\", expect_size=\"5434368\"] \n  11 -> 13 [size =\"5434368\"]\n  11 -> 15 [size =\"5434368\"]\n  12 [size=\"114063360\", alpha=\"0.04\", expect_size=\"34219008\"] \n  12 -> 14 [size =\"34219008\"]\n  13 [size=\"128194560\", alpha=\"0.08\", expect_size=\"38458368\"] \n  13 -> 17 [size =\"38458368\"]\n  14 [size=\"94190933\", alpha=\"0.04\", expect_size=\"28257280\"] \n  14 -> 16 [size =\"28257280\"]\n  15 [size=\"89159680\", alpha=\"0.01\", expect_size=\"26747904\"] \n  16 [size=\"24470187\", alpha=\"0.01\", expect_size=\"7341056\"] \n  16 -> 18 [size =\"7341056\"]\n  16 -> 19 [size =\"7341056\"]\n  17 [size=\"94651733\", alpha=\"0.08\", expect_size=\"28395520\"] \n  17 -> 19 [size =\"28395520\"]\n  18 [size=\"23128747\", alpha=\"0.18\", expect_size=\"6938624\"] \n  18 -> 21 [size =\"6938624\"]\n  18 -> 22 [size =\"6938624\"]\n  19 [size=\"106253653\", alpha=\"0.19\", expect_size=\"31876096\"] \n  19 -> 20 [size =\"31876096\"]\n  19 -> 21 [size =\"31876096\"]\n  19 -> 22 [size =\"31876096\"]\n  20 [size=\"158286507\", alpha=\"0.00\", expect_size=\"47485952\"] \n  20 -> 23 [size =\"47485952\"]\n  20 -> 24 [size =\"47485952\"]\n  21 [size=\"140571307\", alpha=\"0.00\", expect_size=\"42171392\"] \n  21 -> 24 [size =\"42171392\"]\n  22 [size=\"48377173\", alpha=\"0.07\", expect_size=\"14513152\"] \n  22 -> 24 [size =\"14513152\"]\n  23 [size=\"80254293\", alpha=\"0.08\", expect_size=\"24076288\"] \n  23 -> 26 [size =\"24076288\"]\n  24 [size=\"143585280\", alpha=\"0.08\", expect_size=\"43075584\"] \n  24 -> 25 [size =\"43075584\"]\n  24 -> 26 [size =\"43075584\"]\n  24 -> 27 [size =\"43075584\"]\n  25 [size=\"20493653\", alpha=\"0.15\", expect_size=\"6148096\"] \n  25 -> 29 [size =\"6148096\"]\n  25 -> 29 [size =\"6148096\"]\n  26 [size=\"30648320\", alpha=\"0.18\", expect_size=\"9194496\"] \n  27 [size=\"41646080\", alpha=\"0.09\", expect_size=\"12493824\"] \n  27 -> 28 [size =\"12493824\"]\n  27 -> 29 [size =\"12493824\"]\n  27 -> 30 [size =\"12493824\"]\n  28 [size=\"100894720\", alpha=\"0.07\", expect_size=\"30268416\"] \n  29 [size=\"86848853\", alpha=\"0.01\", expect_size=\"26054656\"] \n  29 -> 32 [size =\"26054656\"]\n  30 [size=\"77486080\", alpha=\"0.11\", expect_size=\"23245824\"] \n  30 -> 31 [size =\"23245824\"]\n  30 -> 32 [size =\"23245824\"]\n  31 [size=\"78510080\", alpha=\"0.01\", expect_size=\"23553024\"] \n  31 -> 34 [size =\"23553024\"]\n  31 -> 35 [size =\"23553024\"]\n  32 [size=\"79230293\", alpha=\"0.04\", expect_size=\"23769088\"] \n  32 -> 33 [size =\"23769088\"]\n  32 -> 35 [size =\"23769088\"]\n  33 [size=\"135591253\", alpha=\"0.00\", expect_size=\"40677376\"] \n  33 -> 37 [size =\"40677376\"]\n  34 [size=\"40874667\", alpha=\"0.06\", expect_size=\"12262400\"] \n  34 -> 38 [size =\"12262400\"]\n  35 [size=\"104338773\", alpha=\"0.02\", expect_size=\"31301632\"] \n  35 -> 36 [size =\"31301632\"]\n  36 [size=\"68171093\", alpha=\"0.18\", expect_size=\"20451328\"] \n  36 -> 39 [size =\"20451328\"]\n  37 [size=\"52578987\", alpha=\"0.04\", expect_size=\"15773696\"] \n  37 -> 39 [size =\"15773696\"]\n  38 [size=\"126842880\", alpha=\"0.11\", expect_size=\"38052864\"] \n  38 -> 39 [size =\"38052864\"]\n  38 -> 40 [size =\"38052864\"]\n  39 [size=\"22053547\", alpha=\"0.09\", expect_size=\"6616064\"] \n  39 -> 43 [size =\"6616064\"]\n  40 [size=\"27508053\", alpha=\"0.05\", expect_size=\"8252416\"] \n  40 -> 41 [size =\"8252416\"]\n  40 -> 42 [size =\"8252416\"]\n  41 [size=\"112640000\", alpha=\"0.17\", expect_size=\"33792000\"] \n  41 -> 45 [size =\"33792000\"]\n  42 [size=\"120801280\", alpha=\"0.13\", expect_size=\"36240384\"] \n  42 -> 44 [size =\"36240384\"]\n  43 [size=\"148585813\", alpha=\"0.16\", expect_size=\"44575744\"] \n  43 -> 44 [size =\"44575744\"]\n  43 -> 45 [size =\"44575744\"]\n  44 [size=\"149422080\", alpha=\"0.16\", expect_size=\"44826624\"] \n  45 [size=\"42745173\", alpha=\"0.16\", expect_size=\"12823552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92624896\", alpha=\"0.06\", expect_size=\"46312448\"] \n  1 -> 19 [size =\"46312448\"]\n  1 -> 20 [size =\"46312448\"]\n  1 -> 22 [size =\"46312448\"]\n  1 -> 23 [size =\"46312448\"]\n  1 -> 26 [size =\"46312448\"]\n  2 [size=\"19236864\", alpha=\"0.15\", expect_size=\"9618432\"] \n  2 -> 20 [size =\"9618432\"]\n  2 -> 23 [size =\"9618432\"]\n  2 -> 26 [size =\"9618432\"]\n  3 [size=\"65140736\", alpha=\"0.09\", expect_size=\"32570368\"] \n  3 -> 21 [size =\"32570368\"]\n  3 -> 22 [size =\"32570368\"]\n  3 -> 23 [size =\"32570368\"]\n  3 -> 24 [size =\"32570368\"]\n  3 -> 26 [size =\"32570368\"]\n  4 [size=\"24324096\", alpha=\"0.11\", expect_size=\"12162048\"] \n  4 -> 21 [size =\"12162048\"]\n  4 -> 22 [size =\"12162048\"]\n  4 -> 25 [size =\"12162048\"]\n  4 -> 26 [size =\"12162048\"]\n  4 -> 26 [size =\"12162048\"]\n  5 [size=\"12500992\", alpha=\"0.08\", expect_size=\"6250496\"] \n  5 -> 19 [size =\"6250496\"]\n  5 -> 21 [size =\"6250496\"]\n  5 -> 26 [size =\"6250496\"]\n  6 [size=\"83566592\", alpha=\"0.07\", expect_size=\"41783296\"] \n  6 -> 19 [size =\"41783296\"]\n  6 -> 21 [size =\"41783296\"]\n  6 -> 22 [size =\"41783296\"]\n  6 -> 24 [size =\"41783296\"]\n  6 -> 26 [size =\"41783296\"]\n  7 [size=\"99158016\", alpha=\"0.03\", expect_size=\"49579008\"] \n  7 -> 19 [size =\"49579008\"]\n  7 -> 22 [size =\"49579008\"]\n  8 [size=\"98060288\", alpha=\"0.20\", expect_size=\"49030144\"] \n  8 -> 21 [size =\"49030144\"]\n  8 -> 22 [size =\"49030144\"]\n  8 -> 26 [size =\"49030144\"]\n  9 [size=\"55099392\", alpha=\"0.14\", expect_size=\"27549696\"] \n  9 -> 21 [size =\"27549696\"]\n  9 -> 22 [size =\"27549696\"]\n  9 -> 26 [size =\"27549696\"]\n  10 [size=\"38823936\", alpha=\"0.00\", expect_size=\"19411968\"] \n  10 -> 22 [size =\"19411968\"]\n  10 -> 22 [size =\"19411968\"]\n  10 -> 24 [size =\"19411968\"]\n  10 -> 26 [size =\"19411968\"]\n  11 [size=\"67733504\", alpha=\"0.18\", expect_size=\"33866752\"] \n  11 -> 19 [size =\"33866752\"]\n  11 -> 20 [size =\"33866752\"]\n  11 -> 22 [size =\"33866752\"]\n  11 -> 24 [size =\"33866752\"]\n  11 -> 26 [size =\"33866752\"]\n  12 [size=\"95758336\", alpha=\"0.20\", expect_size=\"47879168\"] \n  12 -> 19 [size =\"47879168\"]\n  12 -> 20 [size =\"47879168\"]\n  12 -> 21 [size =\"47879168\"]\n  12 -> 22 [size =\"47879168\"]\n  12 -> 23 [size =\"47879168\"]\n  12 -> 24 [size =\"47879168\"]\n  12 -> 25 [size =\"47879168\"]\n  12 -> 26 [size =\"47879168\"]\n  13 [size=\"72677376\", alpha=\"0.16\", expect_size=\"36338688\"] \n  13 -> 19 [size =\"36338688\"]\n  13 -> 21 [size =\"36338688\"]\n  13 -> 21 [size =\"36338688\"]\n  13 -> 23 [size =\"36338688\"]\n  13 -> 23 [size =\"36338688\"]\n  13 -> 24 [size =\"36338688\"]\n  14 [size=\"19959808\", alpha=\"0.18\", expect_size=\"9979904\"] \n  14 -> 23 [size =\"9979904\"]\n  14 -> 24 [size =\"9979904\"]\n  15 [size=\"71725056\", alpha=\"0.16\", expect_size=\"35862528\"] \n  15 -> 19 [size =\"35862528\"]\n  15 -> 22 [size =\"35862528\"]\n  15 -> 23 [size =\"35862528\"]\n  16 [size=\"15394816\", alpha=\"0.00\", expect_size=\"7697408\"] \n  16 -> 19 [size =\"7697408\"]\n  16 -> 21 [size =\"7697408\"]\n  16 -> 23 [size =\"7697408\"]\n  16 -> 25 [size =\"7697408\"]\n  16 -> 26 [size =\"7697408\"]\n  17 [size=\"48183296\", alpha=\"0.12\", expect_size=\"24091648\"] \n  17 -> 19 [size =\"24091648\"]\n  17 -> 20 [size =\"24091648\"]\n  17 -> 21 [size =\"24091648\"]\n  17 -> 23 [size =\"24091648\"]\n  17 -> 26 [size =\"24091648\"]\n  18 [size=\"61405184\", alpha=\"0.00\", expect_size=\"30702592\"] \n  18 -> 20 [size =\"30702592\"]\n  18 -> 21 [size =\"30702592\"]\n  18 -> 22 [size =\"30702592\"]\n  18 -> 23 [size =\"30702592\"]\n  18 -> 26 [size =\"30702592\"]\n  19 [size=\"60088320\", alpha=\"0.03\", expect_size=\"30044160\"] \n  19 -> 27 [size =\"30044160\"]\n  19 -> 28 [size =\"30044160\"]\n  19 -> 32 [size =\"30044160\"]\n  19 -> 33 [size =\"30044160\"]\n  19 -> 35 [size =\"30044160\"]\n  19 -> 36 [size =\"30044160\"]\n  19 -> 37 [size =\"30044160\"]\n  20 [size=\"33181696\", alpha=\"0.08\", expect_size=\"16590848\"] \n  20 -> 28 [size =\"16590848\"]\n  20 -> 29 [size =\"16590848\"]\n  20 -> 30 [size =\"16590848\"]\n  20 -> 31 [size =\"16590848\"]\n  20 -> 35 [size =\"16590848\"]\n  20 -> 37 [size =\"16590848\"]\n  21 [size=\"35295232\", alpha=\"0.10\", expect_size=\"17647616\"] \n  21 -> 27 [size =\"17647616\"]\n  21 -> 28 [size =\"17647616\"]\n  21 -> 30 [size =\"17647616\"]\n  21 -> 32 [size =\"17647616\"]\n  21 -> 33 [size =\"17647616\"]\n  21 -> 34 [size =\"17647616\"]\n  21 -> 35 [size =\"17647616\"]\n  21 -> 37 [size =\"17647616\"]\n  22 [size=\"26624000\", alpha=\"0.14\", expect_size=\"13312000\"] \n  22 -> 27 [size =\"13312000\"]\n  22 -> 30 [size =\"13312000\"]\n  22 -> 31 [size =\"13312000\"]\n  22 -> 32 [size =\"13312000\"]\n  22 -> 34 [size =\"13312000\"]\n  22 -> 35 [size =\"13312000\"]\n  22 -> 37 [size =\"13312000\"]\n  23 [size=\"26236928\", alpha=\"0.10\", expect_size=\"13118464\"] \n  23 -> 28 [size =\"13118464\"]\n  23 -> 30 [size =\"13118464\"]\n  23 -> 31 [size =\"13118464\"]\n  23 -> 32 [size =\"13118464\"]\n  23 -> 34 [size =\"13118464\"]\n  24 [size=\"102840320\", alpha=\"0.09\", expect_size=\"51420160\"] \n  24 -> 28 [size =\"51420160\"]\n  24 -> 29 [size =\"51420160\"]\n  24 -> 30 [size =\"51420160\"]\n  24 -> 33 [size =\"51420160\"]\n  24 -> 34 [size =\"51420160\"]\n  24 -> 37 [size =\"51420160\"]\n  25 [size=\"91596800\", alpha=\"0.08\", expect_size=\"45798400\"] \n  25 -> 28 [size =\"45798400\"]\n  25 -> 30 [size =\"45798400\"]\n  25 -> 30 [size =\"45798400\"]\n  25 -> 34 [size =\"45798400\"]\n  25 -> 34 [size =\"45798400\"]\n  25 -> 37 [size =\"45798400\"]\n  26 [size=\"70940672\", alpha=\"0.02\", expect_size=\"35470336\"] \n  26 -> 28 [size =\"35470336\"]\n  26 -> 31 [size =\"35470336\"]\n  26 -> 32 [size =\"35470336\"]\n  26 -> 34 [size =\"35470336\"]\n  26 -> 35 [size =\"35470336\"]\n  26 -> 36 [size =\"35470336\"]\n  26 -> 37 [size =\"35470336\"]\n  27 [size=\"71872512\", alpha=\"0.16\", expect_size=\"35936256\"] \n  27 -> 39 [size =\"35936256\"]\n  27 -> 40 [size =\"35936256\"]\n  27 -> 41 [size =\"35936256\"]\n  27 -> 43 [size =\"35936256\"]\n  27 -> 44 [size =\"35936256\"]\n  27 -> 45 [size =\"35936256\"]\n  28 [size=\"36319232\", alpha=\"0.08\", expect_size=\"18159616\"] \n  28 -> 41 [size =\"18159616\"]\n  28 -> 43 [size =\"18159616\"]\n  28 -> 44 [size =\"18159616\"]\n  28 -> 45 [size =\"18159616\"]\n  29 [size=\"38340608\", alpha=\"0.09\", expect_size=\"19170304\"] \n  29 -> 39 [size =\"19170304\"]\n  29 -> 40 [size =\"19170304\"]\n  29 -> 41 [size =\"19170304\"]\n  29 -> 43 [size =\"19170304\"]\n  29 -> 44 [size =\"19170304\"]\n  29 -> 45 [size =\"19170304\"]\n  30 [size=\"50489344\", alpha=\"0.17\", expect_size=\"25244672\"] \n  30 -> 39 [size =\"25244672\"]\n  30 -> 41 [size =\"25244672\"]\n  30 -> 43 [size =\"25244672\"]\n  31 [size=\"85977088\", alpha=\"0.16\", expect_size=\"42988544\"] \n  31 -> 39 [size =\"42988544\"]\n  31 -> 43 [size =\"42988544\"]\n  31 -> 43 [size =\"42988544\"]\n  31 -> 45 [size =\"42988544\"]\n  32 [size=\"38205440\", alpha=\"0.14\", expect_size=\"19102720\"] \n  32 -> 40 [size =\"19102720\"]\n  32 -> 41 [size =\"19102720\"]\n  32 -> 43 [size =\"19102720\"]\n  32 -> 44 [size =\"19102720\"]\n  33 [size=\"104669184\", alpha=\"0.05\", expect_size=\"52334592\"] \n  33 -> 38 [size =\"52334592\"]\n  33 -> 40 [size =\"52334592\"]\n  33 -> 41 [size =\"52334592\"]\n  33 -> 43 [size =\"52334592\"]\n  33 -> 44 [size =\"52334592\"]\n  34 [size=\"56905728\", alpha=\"0.18\", expect_size=\"28452864\"] \n  34 -> 39 [size =\"28452864\"]\n  34 -> 40 [size =\"28452864\"]\n  34 -> 44 [size =\"28452864\"]\n  34 -> 45 [size =\"28452864\"]\n  35 [size=\"97501184\", alpha=\"0.03\", expect_size=\"48750592\"] \n  35 -> 41 [size =\"48750592\"]\n  35 -> 43 [size =\"48750592\"]\n  35 -> 44 [size =\"48750592\"]\n  36 [size=\"39729152\", alpha=\"0.10\", expect_size=\"19864576\"] \n  36 -> 39 [size =\"19864576\"]\n  36 -> 41 [size =\"19864576\"]\n  36 -> 42 [size =\"19864576\"]\n  36 -> 44 [size =\"19864576\"]\n  36 -> 45 [size =\"19864576\"]\n  37 [size=\"51042304\", alpha=\"0.05\", expect_size=\"25521152\"] \n  37 -> 39 [size =\"25521152\"]\n  37 -> 41 [size =\"25521152\"]\n  37 -> 43 [size =\"25521152\"]\n  37 -> 45 [size =\"25521152\"]\n  38 [size=\"31373312\", alpha=\"0.11\", expect_size=\"15686656\"] \n  39 [size=\"68294656\", alpha=\"0.07\", expect_size=\"34147328\"] \n  40 [size=\"17676288\", alpha=\"0.08\", expect_size=\"8838144\"] \n  41 [size=\"96604160\", alpha=\"0.14\", expect_size=\"48302080\"] \n  42 [size=\"79210496\", alpha=\"0.04\", expect_size=\"39605248\"] \n  43 [size=\"50769920\", alpha=\"0.17\", expect_size=\"25384960\"] \n  44 [size=\"73474048\", alpha=\"0.09\", expect_size=\"36737024\"] \n  45 [size=\"62427136\", alpha=\"0.19\", expect_size=\"31213568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166058667\", alpha=\"0.06\", expect_size=\"49817600\"] \n  1 -> 16 [size =\"49817600\"]\n  1 -> 18 [size =\"49817600\"]\n  1 -> 19 [size =\"49817600\"]\n  1 -> 20 [size =\"49817600\"]\n  1 -> 28 [size =\"49817600\"]\n  1 -> 31 [size =\"49817600\"]\n  2 [size=\"20101120\", alpha=\"0.04\", expect_size=\"6030336\"] \n  2 -> 15 [size =\"6030336\"]\n  2 -> 28 [size =\"6030336\"]\n  2 -> 33 [size =\"6030336\"]\n  3 [size=\"83831467\", alpha=\"0.13\", expect_size=\"25149440\"] \n  3 -> 17 [size =\"25149440\"]\n  3 -> 19 [size =\"25149440\"]\n  3 -> 20 [size =\"25149440\"]\n  3 -> 23 [size =\"25149440\"]\n  3 -> 28 [size =\"25149440\"]\n  4 [size=\"133928960\", alpha=\"0.01\", expect_size=\"40178688\"] \n  4 -> 15 [size =\"40178688\"]\n  4 -> 20 [size =\"40178688\"]\n  5 [size=\"90344107\", alpha=\"0.08\", expect_size=\"27103232\"] \n  5 -> 15 [size =\"27103232\"]\n  5 -> 17 [size =\"27103232\"]\n  5 -> 20 [size =\"27103232\"]\n  5 -> 26 [size =\"27103232\"]\n  5 -> 33 [size =\"27103232\"]\n  6 [size=\"140786347\", alpha=\"0.17\", expect_size=\"42235904\"] \n  6 -> 19 [size =\"42235904\"]\n  6 -> 20 [size =\"42235904\"]\n  6 -> 23 [size =\"42235904\"]\n  6 -> 24 [size =\"42235904\"]\n  6 -> 25 [size =\"42235904\"]\n  6 -> 33 [size =\"42235904\"]\n  7 [size=\"166737920\", alpha=\"0.17\", expect_size=\"50021376\"] \n  7 -> 17 [size =\"50021376\"]\n  7 -> 21 [size =\"50021376\"]\n  7 -> 24 [size =\"50021376\"]\n  7 -> 25 [size =\"50021376\"]\n  7 -> 33 [size =\"50021376\"]\n  7 -> 33 [size =\"50021376\"]\n  8 [size=\"31733760\", alpha=\"0.06\", expect_size=\"9520128\"] \n  8 -> 17 [size =\"9520128\"]\n  8 -> 21 [size =\"9520128\"]\n  8 -> 23 [size =\"9520128\"]\n  8 -> 30 [size =\"9520128\"]\n  8 -> 32 [size =\"9520128\"]\n  9 [size=\"153726293\", alpha=\"0.04\", expect_size=\"46117888\"] \n  9 -> 17 [size =\"46117888\"]\n  9 -> 21 [size =\"46117888\"]\n  9 -> 22 [size =\"46117888\"]\n  9 -> 23 [size =\"46117888\"]\n  9 -> 28 [size =\"46117888\"]\n  9 -> 29 [size =\"46117888\"]\n  9 -> 30 [size =\"46117888\"]\n  9 -> 32 [size =\"46117888\"]\n  9 -> 34 [size =\"46117888\"]\n  10 [size=\"85643947\", alpha=\"0.04\", expect_size=\"25693184\"] \n  10 -> 17 [size =\"25693184\"]\n  10 -> 21 [size =\"25693184\"]\n  10 -> 23 [size =\"25693184\"]\n  10 -> 28 [size =\"25693184\"]\n  10 -> 30 [size =\"25693184\"]\n  11 [size=\"71396693\", alpha=\"0.08\", expect_size=\"21419008\"] \n  11 -> 21 [size =\"21419008\"]\n  11 -> 26 [size =\"21419008\"]\n  11 -> 28 [size =\"21419008\"]\n  11 -> 30 [size =\"21419008\"]\n  11 -> 31 [size =\"21419008\"]\n  11 -> 33 [size =\"21419008\"]\n  12 [size=\"122234880\", alpha=\"0.12\", expect_size=\"36670464\"] \n  12 -> 15 [size =\"36670464\"]\n  12 -> 23 [size =\"36670464\"]\n  12 -> 24 [size =\"36670464\"]\n  12 -> 31 [size =\"36670464\"]\n  12 -> 33 [size =\"36670464\"]\n  13 [size=\"152709120\", alpha=\"0.14\", expect_size=\"45812736\"] \n  13 -> 22 [size =\"45812736\"]\n  13 -> 24 [size =\"45812736\"]\n  13 -> 27 [size =\"45812736\"]\n  13 -> 28 [size =\"45812736\"]\n  14 [size=\"95068160\", alpha=\"0.19\", expect_size=\"28520448\"] \n  14 -> 15 [size =\"28520448\"]\n  14 -> 20 [size =\"28520448\"]\n  14 -> 21 [size =\"28520448\"]\n  14 -> 23 [size =\"28520448\"]\n  14 -> 24 [size =\"28520448\"]\n  14 -> 26 [size =\"28520448\"]\n  15 [size=\"102161067\", alpha=\"0.16\", expect_size=\"30648320\"] \n  15 -> 39 [size =\"30648320\"]\n  15 -> 40 [size =\"30648320\"]\n  15 -> 41 [size =\"30648320\"]\n  15 -> 44 [size =\"30648320\"]\n  16 [size=\"168239787\", alpha=\"0.08\", expect_size=\"50471936\"] \n  16 -> 36 [size =\"50471936\"]\n  16 -> 40 [size =\"50471936\"]\n  17 [size=\"146718720\", alpha=\"0.05\", expect_size=\"44015616\"] \n  17 -> 36 [size =\"44015616\"]\n  17 -> 40 [size =\"44015616\"]\n  18 [size=\"122091520\", alpha=\"0.12\", expect_size=\"36627456\"] \n  18 -> 39 [size =\"36627456\"]\n  18 -> 44 [size =\"36627456\"]\n  19 [size=\"169806507\", alpha=\"0.05\", expect_size=\"50941952\"] \n  19 -> 38 [size =\"50941952\"]\n  19 -> 39 [size =\"50941952\"]\n  19 -> 42 [size =\"50941952\"]\n  19 -> 45 [size =\"50941952\"]\n  20 [size=\"46824107\", alpha=\"0.09\", expect_size=\"14047232\"] \n  20 -> 39 [size =\"14047232\"]\n  20 -> 39 [size =\"14047232\"]\n  20 -> 41 [size =\"14047232\"]\n  21 [size=\"75366400\", alpha=\"0.12\", expect_size=\"22609920\"] \n  21 -> 36 [size =\"22609920\"]\n  21 -> 42 [size =\"22609920\"]\n  22 [size=\"140902400\", alpha=\"0.15\", expect_size=\"42270720\"] \n  22 -> 35 [size =\"42270720\"]\n  22 -> 36 [size =\"42270720\"]\n  23 [size=\"77322240\", alpha=\"0.07\", expect_size=\"23196672\"] \n  23 -> 36 [size =\"23196672\"]\n  23 -> 39 [size =\"23196672\"]\n  24 [size=\"28514987\", alpha=\"0.13\", expect_size=\"8554496\"] \n  24 -> 39 [size =\"8554496\"]\n  24 -> 39 [size =\"8554496\"]\n  25 [size=\"18312533\", alpha=\"0.08\", expect_size=\"5493760\"] \n  25 -> 37 [size =\"5493760\"]\n  25 -> 40 [size =\"5493760\"]\n  26 [size=\"146397867\", alpha=\"0.20\", expect_size=\"43919360\"] \n  26 -> 37 [size =\"43919360\"]\n  26 -> 38 [size =\"43919360\"]\n  27 [size=\"53022720\", alpha=\"0.10\", expect_size=\"15906816\"] \n  27 -> 38 [size =\"15906816\"]\n  27 -> 40 [size =\"15906816\"]\n  28 [size=\"91508053\", alpha=\"0.02\", expect_size=\"27452416\"] \n  28 -> 38 [size =\"27452416\"]\n  28 -> 40 [size =\"27452416\"]\n  28 -> 44 [size =\"27452416\"]\n  29 [size=\"32262827\", alpha=\"0.11\", expect_size=\"9678848\"] \n  29 -> 36 [size =\"9678848\"]\n  29 -> 40 [size =\"9678848\"]\n  29 -> 44 [size =\"9678848\"]\n  29 -> 45 [size =\"9678848\"]\n  30 [size=\"75045547\", alpha=\"0.09\", expect_size=\"22513664\"] \n  30 -> 36 [size =\"22513664\"]\n  30 -> 41 [size =\"22513664\"]\n  31 [size=\"147937280\", alpha=\"0.14\", expect_size=\"44381184\"] \n  31 -> 35 [size =\"44381184\"]\n  31 -> 38 [size =\"44381184\"]\n  31 -> 39 [size =\"44381184\"]\n  31 -> 41 [size =\"44381184\"]\n  31 -> 43 [size =\"44381184\"]\n  31 -> 45 [size =\"44381184\"]\n  32 [size=\"84951040\", alpha=\"0.12\", expect_size=\"25485312\"] \n  32 -> 36 [size =\"25485312\"]\n  32 -> 41 [size =\"25485312\"]\n  33 [size=\"45994667\", alpha=\"0.08\", expect_size=\"13798400\"] \n  33 -> 44 [size =\"13798400\"]\n  34 [size=\"97423360\", alpha=\"0.13\", expect_size=\"29227008\"] \n  35 [size=\"41123840\", alpha=\"0.09\", expect_size=\"12337152\"] \n  36 [size=\"107246933\", alpha=\"0.04\", expect_size=\"32174080\"] \n  37 [size=\"104533333\", alpha=\"0.16\", expect_size=\"31360000\"] \n  38 [size=\"24961707\", alpha=\"0.01\", expect_size=\"7488512\"] \n  39 [size=\"40075947\", alpha=\"0.05\", expect_size=\"12022784\"] \n  40 [size=\"128843093\", alpha=\"0.13\", expect_size=\"38652928\"] \n  41 [size=\"44854613\", alpha=\"0.09\", expect_size=\"13456384\"] \n  42 [size=\"156607147\", alpha=\"0.20\", expect_size=\"46982144\"] \n  43 [size=\"97003520\", alpha=\"0.19\", expect_size=\"29101056\"] \n  44 [size=\"158566400\", alpha=\"0.19\", expect_size=\"47569920\"] \n  45 [size=\"104311467\", alpha=\"0.19\", expect_size=\"31293440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112762880\", alpha=\"0.15\", expect_size=\"33828864\"] \n  1 -> 19 [size =\"33828864\"]\n  1 -> 25 [size =\"33828864\"]\n  1 -> 26 [size =\"33828864\"]\n  2 [size=\"138936320\", alpha=\"0.02\", expect_size=\"41680896\"] \n  2 -> 16 [size =\"41680896\"]\n  2 -> 17 [size =\"41680896\"]\n  2 -> 18 [size =\"41680896\"]\n  2 -> 19 [size =\"41680896\"]\n  2 -> 20 [size =\"41680896\"]\n  2 -> 22 [size =\"41680896\"]\n  2 -> 25 [size =\"41680896\"]\n  3 [size=\"35809280\", alpha=\"0.01\", expect_size=\"10742784\"] \n  3 -> 16 [size =\"10742784\"]\n  3 -> 18 [size =\"10742784\"]\n  3 -> 19 [size =\"10742784\"]\n  3 -> 22 [size =\"10742784\"]\n  3 -> 23 [size =\"10742784\"]\n  3 -> 25 [size =\"10742784\"]\n  3 -> 26 [size =\"10742784\"]\n  3 -> 27 [size =\"10742784\"]\n  4 [size=\"73072640\", alpha=\"0.08\", expect_size=\"21921792\"] \n  4 -> 16 [size =\"21921792\"]\n  4 -> 19 [size =\"21921792\"]\n  4 -> 19 [size =\"21921792\"]\n  4 -> 21 [size =\"21921792\"]\n  4 -> 22 [size =\"21921792\"]\n  4 -> 23 [size =\"21921792\"]\n  4 -> 26 [size =\"21921792\"]\n  4 -> 27 [size =\"21921792\"]\n  5 [size=\"56453120\", alpha=\"0.14\", expect_size=\"16935936\"] \n  5 -> 16 [size =\"16935936\"]\n  5 -> 17 [size =\"16935936\"]\n  5 -> 19 [size =\"16935936\"]\n  5 -> 21 [size =\"16935936\"]\n  5 -> 23 [size =\"16935936\"]\n  5 -> 28 [size =\"16935936\"]\n  6 [size=\"162522453\", alpha=\"0.01\", expect_size=\"48756736\"] \n  6 -> 19 [size =\"48756736\"]\n  6 -> 20 [size =\"48756736\"]\n  6 -> 22 [size =\"48756736\"]\n  6 -> 23 [size =\"48756736\"]\n  6 -> 23 [size =\"48756736\"]\n  6 -> 24 [size =\"48756736\"]\n  6 -> 26 [size =\"48756736\"]\n  6 -> 27 [size =\"48756736\"]\n  7 [size=\"57081173\", alpha=\"0.11\", expect_size=\"17124352\"] \n  7 -> 19 [size =\"17124352\"]\n  7 -> 20 [size =\"17124352\"]\n  7 -> 22 [size =\"17124352\"]\n  7 -> 23 [size =\"17124352\"]\n  7 -> 26 [size =\"17124352\"]\n  7 -> 27 [size =\"17124352\"]\n  8 [size=\"72011093\", alpha=\"0.05\", expect_size=\"21603328\"] \n  8 -> 15 [size =\"21603328\"]\n  8 -> 19 [size =\"21603328\"]\n  8 -> 20 [size =\"21603328\"]\n  8 -> 21 [size =\"21603328\"]\n  8 -> 22 [size =\"21603328\"]\n  8 -> 26 [size =\"21603328\"]\n  8 -> 27 [size =\"21603328\"]\n  9 [size=\"71744853\", alpha=\"0.04\", expect_size=\"21523456\"] \n  9 -> 15 [size =\"21523456\"]\n  9 -> 20 [size =\"21523456\"]\n  9 -> 20 [size =\"21523456\"]\n  9 -> 21 [size =\"21523456\"]\n  9 -> 22 [size =\"21523456\"]\n  9 -> 26 [size =\"21523456\"]\n  10 [size=\"34263040\", alpha=\"0.04\", expect_size=\"10278912\"] \n  10 -> 18 [size =\"10278912\"]\n  10 -> 21 [size =\"10278912\"]\n  10 -> 22 [size =\"10278912\"]\n  10 -> 24 [size =\"10278912\"]\n  11 [size=\"126661973\", alpha=\"0.19\", expect_size=\"37998592\"] \n  11 -> 18 [size =\"37998592\"]\n  11 -> 19 [size =\"37998592\"]\n  11 -> 21 [size =\"37998592\"]\n  11 -> 26 [size =\"37998592\"]\n  11 -> 27 [size =\"37998592\"]\n  12 [size=\"86053547\", alpha=\"0.15\", expect_size=\"25816064\"] \n  12 -> 17 [size =\"25816064\"]\n  12 -> 18 [size =\"25816064\"]\n  12 -> 21 [size =\"25816064\"]\n  12 -> 22 [size =\"25816064\"]\n  12 -> 24 [size =\"25816064\"]\n  13 [size=\"100973227\", alpha=\"0.15\", expect_size=\"30291968\"] \n  13 -> 18 [size =\"30291968\"]\n  13 -> 21 [size =\"30291968\"]\n  13 -> 25 [size =\"30291968\"]\n  14 [size=\"108421120\", alpha=\"0.05\", expect_size=\"32526336\"] \n  14 -> 18 [size =\"32526336\"]\n  14 -> 20 [size =\"32526336\"]\n  14 -> 23 [size =\"32526336\"]\n  14 -> 26 [size =\"32526336\"]\n  14 -> 27 [size =\"32526336\"]\n  15 [size=\"169400320\", alpha=\"0.14\", expect_size=\"50820096\"] \n  15 -> 29 [size =\"50820096\"]\n  15 -> 32 [size =\"50820096\"]\n  15 -> 38 [size =\"50820096\"]\n  16 [size=\"118534827\", alpha=\"0.15\", expect_size=\"35560448\"] \n  16 -> 34 [size =\"35560448\"]\n  16 -> 35 [size =\"35560448\"]\n  16 -> 36 [size =\"35560448\"]\n  16 -> 38 [size =\"35560448\"]\n  17 [size=\"128733867\", alpha=\"0.17\", expect_size=\"38620160\"] \n  17 -> 36 [size =\"38620160\"]\n  17 -> 37 [size =\"38620160\"]\n  17 -> 38 [size =\"38620160\"]\n  17 -> 39 [size =\"38620160\"]\n  18 [size=\"59313493\", alpha=\"0.11\", expect_size=\"17794048\"] \n  18 -> 29 [size =\"17794048\"]\n  18 -> 36 [size =\"17794048\"]\n  18 -> 40 [size =\"17794048\"]\n  19 [size=\"101416960\", alpha=\"0.18\", expect_size=\"30425088\"] \n  19 -> 30 [size =\"30425088\"]\n  19 -> 31 [size =\"30425088\"]\n  19 -> 33 [size =\"30425088\"]\n  19 -> 37 [size =\"30425088\"]\n  19 -> 39 [size =\"30425088\"]\n  19 -> 40 [size =\"30425088\"]\n  20 [size=\"129378987\", alpha=\"0.01\", expect_size=\"38813696\"] \n  20 -> 29 [size =\"38813696\"]\n  20 -> 30 [size =\"38813696\"]\n  20 -> 33 [size =\"38813696\"]\n  20 -> 35 [size =\"38813696\"]\n  20 -> 36 [size =\"38813696\"]\n  20 -> 39 [size =\"38813696\"]\n  20 -> 40 [size =\"38813696\"]\n  21 [size=\"160003413\", alpha=\"0.16\", expect_size=\"48001024\"] \n  21 -> 29 [size =\"48001024\"]\n  21 -> 30 [size =\"48001024\"]\n  21 -> 35 [size =\"48001024\"]\n  21 -> 35 [size =\"48001024\"]\n  21 -> 37 [size =\"48001024\"]\n  21 -> 40 [size =\"48001024\"]\n  22 [size=\"154053973\", alpha=\"0.07\", expect_size=\"46216192\"] \n  22 -> 29 [size =\"46216192\"]\n  22 -> 30 [size =\"46216192\"]\n  22 -> 34 [size =\"46216192\"]\n  22 -> 35 [size =\"46216192\"]\n  22 -> 39 [size =\"46216192\"]\n  23 [size=\"117886293\", alpha=\"0.20\", expect_size=\"35365888\"] \n  23 -> 29 [size =\"35365888\"]\n  23 -> 30 [size =\"35365888\"]\n  23 -> 32 [size =\"35365888\"]\n  23 -> 34 [size =\"35365888\"]\n  23 -> 36 [size =\"35365888\"]\n  23 -> 37 [size =\"35365888\"]\n  23 -> 39 [size =\"35365888\"]\n  24 [size=\"75588267\", alpha=\"0.20\", expect_size=\"22676480\"] \n  24 -> 30 [size =\"22676480\"]\n  24 -> 31 [size =\"22676480\"]\n  24 -> 35 [size =\"22676480\"]\n  24 -> 36 [size =\"22676480\"]\n  24 -> 38 [size =\"22676480\"]\n  24 -> 40 [size =\"22676480\"]\n  25 [size=\"117090987\", alpha=\"0.05\", expect_size=\"35127296\"] \n  25 -> 29 [size =\"35127296\"]\n  25 -> 30 [size =\"35127296\"]\n  25 -> 31 [size =\"35127296\"]\n  25 -> 34 [size =\"35127296\"]\n  25 -> 35 [size =\"35127296\"]\n  25 -> 36 [size =\"35127296\"]\n  25 -> 39 [size =\"35127296\"]\n  25 -> 40 [size =\"35127296\"]\n  26 [size=\"72707413\", alpha=\"0.08\", expect_size=\"21812224\"] \n  26 -> 34 [size =\"21812224\"]\n  26 -> 35 [size =\"21812224\"]\n  26 -> 37 [size =\"21812224\"]\n  26 -> 39 [size =\"21812224\"]\n  26 -> 40 [size =\"21812224\"]\n  27 [size=\"30566400\", alpha=\"0.16\", expect_size=\"9169920\"] \n  27 -> 29 [size =\"9169920\"]\n  27 -> 30 [size =\"9169920\"]\n  27 -> 36 [size =\"9169920\"]\n  27 -> 37 [size =\"9169920\"]\n  27 -> 39 [size =\"9169920\"]\n  27 -> 40 [size =\"9169920\"]\n  28 [size=\"160385707\", alpha=\"0.12\", expect_size=\"48115712\"] \n  28 -> 29 [size =\"48115712\"]\n  28 -> 31 [size =\"48115712\"]\n  28 -> 32 [size =\"48115712\"]\n  28 -> 35 [size =\"48115712\"]\n  28 -> 36 [size =\"48115712\"]\n  28 -> 37 [size =\"48115712\"]\n  28 -> 38 [size =\"48115712\"]\n  28 -> 39 [size =\"48115712\"]\n  28 -> 40 [size =\"48115712\"]\n  29 [size=\"90763947\", alpha=\"0.14\", expect_size=\"27229184\"] \n  29 -> 42 [size =\"27229184\"]\n  29 -> 44 [size =\"27229184\"]\n  29 -> 45 [size =\"27229184\"]\n  30 [size=\"77236907\", alpha=\"0.18\", expect_size=\"23171072\"] \n  30 -> 42 [size =\"23171072\"]\n  30 -> 44 [size =\"23171072\"]\n  30 -> 45 [size =\"23171072\"]\n  31 [size=\"87040000\", alpha=\"0.16\", expect_size=\"26112000\"] \n  31 -> 41 [size =\"26112000\"]\n  31 -> 45 [size =\"26112000\"]\n  31 -> 45 [size =\"26112000\"]\n  32 [size=\"58173440\", alpha=\"0.03\", expect_size=\"17452032\"] \n  32 -> 43 [size =\"17452032\"]\n  32 -> 45 [size =\"17452032\"]\n  33 [size=\"112097280\", alpha=\"0.01\", expect_size=\"33629184\"] \n  33 -> 42 [size =\"33629184\"]\n  33 -> 44 [size =\"33629184\"]\n  33 -> 45 [size =\"33629184\"]\n  34 [size=\"109858133\", alpha=\"0.10\", expect_size=\"32957440\"] \n  34 -> 42 [size =\"32957440\"]\n  34 -> 44 [size =\"32957440\"]\n  34 -> 45 [size =\"32957440\"]\n  35 [size=\"107055787\", alpha=\"0.18\", expect_size=\"32116736\"] \n  35 -> 41 [size =\"32116736\"]\n  36 [size=\"142663680\", alpha=\"0.20\", expect_size=\"42799104\"] \n  36 -> 41 [size =\"42799104\"]\n  37 [size=\"47165440\", alpha=\"0.15\", expect_size=\"14149632\"] \n  37 -> 41 [size =\"14149632\"]\n  38 [size=\"174738773\", alpha=\"0.16\", expect_size=\"52421632\"] \n  38 -> 41 [size =\"52421632\"]\n  39 [size=\"108052480\", alpha=\"0.07\", expect_size=\"32415744\"] \n  39 -> 41 [size =\"32415744\"]\n  39 -> 42 [size =\"32415744\"]\n  40 [size=\"58668373\", alpha=\"0.13\", expect_size=\"17600512\"] \n  41 [size=\"43373227\", alpha=\"0.17\", expect_size=\"13011968\"] \n  42 [size=\"171359573\", alpha=\"0.18\", expect_size=\"51407872\"] \n  43 [size=\"39338667\", alpha=\"0.12\", expect_size=\"11801600\"] \n  44 [size=\"45390507\", alpha=\"0.13\", expect_size=\"13617152\"] \n  45 [size=\"123166720\", alpha=\"0.07\", expect_size=\"36950016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162413227\", alpha=\"0.03\", expect_size=\"48723968\"] \n  1 -> 6 [size =\"48723968\"]\n  1 -> 7 [size =\"48723968\"]\n  1 -> 8 [size =\"48723968\"]\n  2 [size=\"62795093\", alpha=\"0.19\", expect_size=\"18838528\"] \n  3 [size=\"99263147\", alpha=\"0.02\", expect_size=\"29778944\"] \n  3 -> 7 [size =\"29778944\"]\n  4 [size=\"94139733\", alpha=\"0.15\", expect_size=\"28241920\"] \n  5 [size=\"43414187\", alpha=\"0.03\", expect_size=\"13024256\"] \n  5 -> 6 [size =\"13024256\"]\n  6 [size=\"71369387\", alpha=\"0.16\", expect_size=\"21410816\"] \n  6 -> 10 [size =\"21410816\"]\n  7 [size=\"42642773\", alpha=\"0.11\", expect_size=\"12792832\"] \n  7 -> 11 [size =\"12792832\"]\n  7 -> 12 [size =\"12792832\"]\n  7 -> 13 [size =\"12792832\"]\n  8 [size=\"173885440\", alpha=\"0.00\", expect_size=\"52165632\"] \n  8 -> 9 [size =\"52165632\"]\n  8 -> 11 [size =\"52165632\"]\n  8 -> 14 [size =\"52165632\"]\n  9 [size=\"35406507\", alpha=\"0.15\", expect_size=\"10621952\"] \n  9 -> 15 [size =\"10621952\"]\n  9 -> 16 [size =\"10621952\"]\n  9 -> 18 [size =\"10621952\"]\n  9 -> 20 [size =\"10621952\"]\n  9 -> 21 [size =\"10621952\"]\n  10 [size=\"31617707\", alpha=\"0.14\", expect_size=\"9485312\"] \n  10 -> 19 [size =\"9485312\"]\n  11 [size=\"88958293\", alpha=\"0.09\", expect_size=\"26687488\"] \n  11 -> 15 [size =\"26687488\"]\n  11 -> 17 [size =\"26687488\"]\n  12 [size=\"110670507\", alpha=\"0.06\", expect_size=\"33201152\"] \n  12 -> 15 [size =\"33201152\"]\n  12 -> 17 [size =\"33201152\"]\n  12 -> 20 [size =\"33201152\"]\n  13 [size=\"104362667\", alpha=\"0.03\", expect_size=\"31308800\"] \n  13 -> 20 [size =\"31308800\"]\n  13 -> 21 [size =\"31308800\"]\n  14 [size=\"122337280\", alpha=\"0.14\", expect_size=\"36701184\"] \n  14 -> 21 [size =\"36701184\"]\n  15 [size=\"82933760\", alpha=\"0.17\", expect_size=\"24880128\"] \n  15 -> 22 [size =\"24880128\"]\n  15 -> 27 [size =\"24880128\"]\n  16 [size=\"108332373\", alpha=\"0.18\", expect_size=\"32499712\"] \n  16 -> 29 [size =\"32499712\"]\n  17 [size=\"78428160\", alpha=\"0.01\", expect_size=\"23528448\"] \n  17 -> 25 [size =\"23528448\"]\n  17 -> 26 [size =\"23528448\"]\n  17 -> 29 [size =\"23528448\"]\n  18 [size=\"162604373\", alpha=\"0.10\", expect_size=\"48781312\"] \n  18 -> 25 [size =\"48781312\"]\n  19 [size=\"164836693\", alpha=\"0.10\", expect_size=\"49451008\"] \n  19 -> 25 [size =\"49451008\"]\n  20 [size=\"124344320\", alpha=\"0.05\", expect_size=\"37303296\"] \n  20 -> 22 [size =\"37303296\"]\n  20 -> 27 [size =\"37303296\"]\n  21 [size=\"78295040\", alpha=\"0.19\", expect_size=\"23488512\"] \n  21 -> 22 [size =\"23488512\"]\n  21 -> 23 [size =\"23488512\"]\n  21 -> 24 [size =\"23488512\"]\n  21 -> 28 [size =\"23488512\"]\n  22 [size=\"152610133\", alpha=\"0.18\", expect_size=\"45783040\"] \n  22 -> 35 [size =\"45783040\"]\n  23 [size=\"46243840\", alpha=\"0.08\", expect_size=\"13873152\"] \n  23 -> 30 [size =\"13873152\"]\n  23 -> 33 [size =\"13873152\"]\n  24 [size=\"67068587\", alpha=\"0.07\", expect_size=\"20120576\"] \n  24 -> 33 [size =\"20120576\"]\n  25 [size=\"19524267\", alpha=\"0.10\", expect_size=\"5857280\"] \n  25 -> 30 [size =\"5857280\"]\n  25 -> 34 [size =\"5857280\"]\n  26 [size=\"156996267\", alpha=\"0.19\", expect_size=\"47098880\"] \n  26 -> 35 [size =\"47098880\"]\n  27 [size=\"140595200\", alpha=\"0.12\", expect_size=\"42178560\"] \n  27 -> 31 [size =\"42178560\"]\n  28 [size=\"149944320\", alpha=\"0.05\", expect_size=\"44983296\"] \n  28 -> 32 [size =\"44983296\"]\n  28 -> 36 [size =\"44983296\"]\n  29 [size=\"67474773\", alpha=\"0.19\", expect_size=\"20242432\"] \n  29 -> 33 [size =\"20242432\"]\n  30 [size=\"148606293\", alpha=\"0.16\", expect_size=\"44581888\"] \n  30 -> 37 [size =\"44581888\"]\n  30 -> 41 [size =\"44581888\"]\n  31 [size=\"33351680\", alpha=\"0.02\", expect_size=\"10005504\"] \n  31 -> 38 [size =\"10005504\"]\n  31 -> 40 [size =\"10005504\"]\n  31 -> 42 [size =\"10005504\"]\n  32 [size=\"23934293\", alpha=\"0.20\", expect_size=\"7180288\"] \n  32 -> 42 [size =\"7180288\"]\n  32 -> 44 [size =\"7180288\"]\n  33 [size=\"165672960\", alpha=\"0.08\", expect_size=\"49701888\"] \n  33 -> 37 [size =\"49701888\"]\n  33 -> 38 [size =\"49701888\"]\n  33 -> 39 [size =\"49701888\"]\n  33 -> 41 [size =\"49701888\"]\n  33 -> 44 [size =\"49701888\"]\n  34 [size=\"68495360\", alpha=\"0.10\", expect_size=\"20548608\"] \n  34 -> 38 [size =\"20548608\"]\n  34 -> 41 [size =\"20548608\"]\n  35 [size=\"123641173\", alpha=\"0.01\", expect_size=\"37092352\"] \n  35 -> 38 [size =\"37092352\"]\n  35 -> 43 [size =\"37092352\"]\n  36 [size=\"42482347\", alpha=\"0.02\", expect_size=\"12744704\"] \n  37 [size=\"36194987\", alpha=\"0.12\", expect_size=\"10858496\"] \n  38 [size=\"129949013\", alpha=\"0.00\", expect_size=\"38984704\"] \n  38 -> 45 [size =\"38984704\"]\n  39 [size=\"165584213\", alpha=\"0.07\", expect_size=\"49675264\"] \n  40 [size=\"161030827\", alpha=\"0.07\", expect_size=\"48309248\"] \n  41 [size=\"130437120\", alpha=\"0.16\", expect_size=\"39131136\"] \n  41 -> 45 [size =\"39131136\"]\n  42 [size=\"145281707\", alpha=\"0.01\", expect_size=\"43584512\"] \n  42 -> 45 [size =\"43584512\"]\n  43 [size=\"141472427\", alpha=\"0.10\", expect_size=\"42441728\"] \n  43 -> 45 [size =\"42441728\"]\n  44 [size=\"48619520\", alpha=\"0.05\", expect_size=\"14585856\"] \n  45 [size=\"128860160\", alpha=\"0.01\", expect_size=\"38658048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39869440\", alpha=\"0.17\", expect_size=\"15947776\"] \n  1 -> 35 [size =\"15947776\"]\n  1 -> 35 [size =\"15947776\"]\n  1 -> 37 [size =\"15947776\"]\n  1 -> 38 [size =\"15947776\"]\n  1 -> 40 [size =\"15947776\"]\n  1 -> 42 [size =\"15947776\"]\n  1 -> 43 [size =\"15947776\"]\n  1 -> 44 [size =\"15947776\"]\n  1 -> 45 [size =\"15947776\"]\n  2 [size=\"89786880\", alpha=\"0.19\", expect_size=\"35914752\"] \n  2 -> 31 [size =\"35914752\"]\n  2 -> 32 [size =\"35914752\"]\n  2 -> 40 [size =\"35914752\"]\n  2 -> 43 [size =\"35914752\"]\n  3 [size=\"75504640\", alpha=\"0.13\", expect_size=\"30201856\"] \n  3 -> 31 [size =\"30201856\"]\n  3 -> 33 [size =\"30201856\"]\n  3 -> 34 [size =\"30201856\"]\n  3 -> 35 [size =\"30201856\"]\n  3 -> 36 [size =\"30201856\"]\n  3 -> 39 [size =\"30201856\"]\n  3 -> 40 [size =\"30201856\"]\n  3 -> 43 [size =\"30201856\"]\n  4 [size=\"84784640\", alpha=\"0.01\", expect_size=\"33913856\"] \n  4 -> 29 [size =\"33913856\"]\n  4 -> 30 [size =\"33913856\"]\n  4 -> 31 [size =\"33913856\"]\n  4 -> 35 [size =\"33913856\"]\n  4 -> 36 [size =\"33913856\"]\n  4 -> 37 [size =\"33913856\"]\n  4 -> 39 [size =\"33913856\"]\n  4 -> 40 [size =\"33913856\"]\n  4 -> 42 [size =\"33913856\"]\n  4 -> 43 [size =\"33913856\"]\n  5 [size=\"71848960\", alpha=\"0.19\", expect_size=\"28739584\"] \n  5 -> 33 [size =\"28739584\"]\n  5 -> 36 [size =\"28739584\"]\n  5 -> 39 [size =\"28739584\"]\n  5 -> 40 [size =\"28739584\"]\n  5 -> 42 [size =\"28739584\"]\n  6 [size=\"73218560\", alpha=\"0.01\", expect_size=\"29287424\"] \n  6 -> 29 [size =\"29287424\"]\n  6 -> 33 [size =\"29287424\"]\n  6 -> 39 [size =\"29287424\"]\n  6 -> 40 [size =\"29287424\"]\n  6 -> 42 [size =\"29287424\"]\n  6 -> 43 [size =\"29287424\"]\n  7 [size=\"48721920\", alpha=\"0.11\", expect_size=\"19488768\"] \n  7 -> 31 [size =\"19488768\"]\n  7 -> 33 [size =\"19488768\"]\n  7 -> 35 [size =\"19488768\"]\n  7 -> 40 [size =\"19488768\"]\n  7 -> 42 [size =\"19488768\"]\n  7 -> 44 [size =\"19488768\"]\n  8 [size=\"22021120\", alpha=\"0.05\", expect_size=\"8808448\"] \n  8 -> 30 [size =\"8808448\"]\n  8 -> 31 [size =\"8808448\"]\n  8 -> 32 [size =\"8808448\"]\n  8 -> 33 [size =\"8808448\"]\n  8 -> 37 [size =\"8808448\"]\n  8 -> 40 [size =\"8808448\"]\n  8 -> 42 [size =\"8808448\"]\n  8 -> 43 [size =\"8808448\"]\n  8 -> 44 [size =\"8808448\"]\n  8 -> 45 [size =\"8808448\"]\n  9 [size=\"80145920\", alpha=\"0.04\", expect_size=\"32058368\"] \n  9 -> 33 [size =\"32058368\"]\n  9 -> 37 [size =\"32058368\"]\n  9 -> 39 [size =\"32058368\"]\n  9 -> 42 [size =\"32058368\"]\n  9 -> 43 [size =\"32058368\"]\n  9 -> 45 [size =\"32058368\"]\n  10 [size=\"84902400\", alpha=\"0.08\", expect_size=\"33960960\"] \n  10 -> 29 [size =\"33960960\"]\n  10 -> 30 [size =\"33960960\"]\n  10 -> 31 [size =\"33960960\"]\n  10 -> 32 [size =\"33960960\"]\n  10 -> 33 [size =\"33960960\"]\n  10 -> 35 [size =\"33960960\"]\n  10 -> 37 [size =\"33960960\"]\n  10 -> 40 [size =\"33960960\"]\n  10 -> 42 [size =\"33960960\"]\n  10 -> 43 [size =\"33960960\"]\n  10 -> 44 [size =\"33960960\"]\n  10 -> 45 [size =\"33960960\"]\n  11 [size=\"78190080\", alpha=\"0.05\", expect_size=\"31276032\"] \n  11 -> 29 [size =\"31276032\"]\n  11 -> 33 [size =\"31276032\"]\n  11 -> 34 [size =\"31276032\"]\n  11 -> 35 [size =\"31276032\"]\n  11 -> 36 [size =\"31276032\"]\n  11 -> 37 [size =\"31276032\"]\n  11 -> 38 [size =\"31276032\"]\n  11 -> 41 [size =\"31276032\"]\n  11 -> 42 [size =\"31276032\"]\n  11 -> 43 [size =\"31276032\"]\n  11 -> 44 [size =\"31276032\"]\n  12 [size=\"59420160\", alpha=\"0.19\", expect_size=\"23768064\"] \n  12 -> 29 [size =\"23768064\"]\n  12 -> 31 [size =\"23768064\"]\n  12 -> 33 [size =\"23768064\"]\n  12 -> 34 [size =\"23768064\"]\n  12 -> 35 [size =\"23768064\"]\n  12 -> 38 [size =\"23768064\"]\n  12 -> 39 [size =\"23768064\"]\n  12 -> 41 [size =\"23768064\"]\n  12 -> 43 [size =\"23768064\"]\n  12 -> 43 [size =\"23768064\"]\n  13 [size=\"53642240\", alpha=\"0.08\", expect_size=\"21456896\"] \n  13 -> 32 [size =\"21456896\"]\n  13 -> 33 [size =\"21456896\"]\n  13 -> 33 [size =\"21456896\"]\n  13 -> 43 [size =\"21456896\"]\n  14 [size=\"130654720\", alpha=\"0.11\", expect_size=\"52261888\"] \n  14 -> 33 [size =\"52261888\"]\n  14 -> 33 [size =\"52261888\"]\n  14 -> 42 [size =\"52261888\"]\n  14 -> 43 [size =\"52261888\"]\n  14 -> 44 [size =\"52261888\"]\n  15 [size=\"19609600\", alpha=\"0.15\", expect_size=\"7843840\"] \n  15 -> 30 [size =\"7843840\"]\n  15 -> 33 [size =\"7843840\"]\n  15 -> 38 [size =\"7843840\"]\n  15 -> 42 [size =\"7843840\"]\n  15 -> 43 [size =\"7843840\"]\n  16 [size=\"16304640\", alpha=\"0.04\", expect_size=\"6521856\"] \n  16 -> 29 [size =\"6521856\"]\n  16 -> 33 [size =\"6521856\"]\n  16 -> 38 [size =\"6521856\"]\n  16 -> 42 [size =\"6521856\"]\n  16 -> 43 [size =\"6521856\"]\n  16 -> 44 [size =\"6521856\"]\n  17 [size=\"24192000\", alpha=\"0.10\", expect_size=\"9676800\"] \n  17 -> 30 [size =\"9676800\"]\n  17 -> 31 [size =\"9676800\"]\n  17 -> 32 [size =\"9676800\"]\n  17 -> 33 [size =\"9676800\"]\n  17 -> 35 [size =\"9676800\"]\n  17 -> 39 [size =\"9676800\"]\n  17 -> 40 [size =\"9676800\"]\n  17 -> 42 [size =\"9676800\"]\n  17 -> 43 [size =\"9676800\"]\n  18 [size=\"90237440\", alpha=\"0.19\", expect_size=\"36094976\"] \n  18 -> 35 [size =\"36094976\"]\n  18 -> 37 [size =\"36094976\"]\n  18 -> 40 [size =\"36094976\"]\n  18 -> 42 [size =\"36094976\"]\n  18 -> 43 [size =\"36094976\"]\n  19 [size=\"120929280\", alpha=\"0.00\", expect_size=\"48371712\"] \n  19 -> 32 [size =\"48371712\"]\n  19 -> 33 [size =\"48371712\"]\n  19 -> 36 [size =\"48371712\"]\n  19 -> 37 [size =\"48371712\"]\n  19 -> 38 [size =\"48371712\"]\n  19 -> 39 [size =\"48371712\"]\n  19 -> 42 [size =\"48371712\"]\n  19 -> 43 [size =\"48371712\"]\n  20 [size=\"27819520\", alpha=\"0.03\", expect_size=\"11127808\"] \n  20 -> 32 [size =\"11127808\"]\n  20 -> 33 [size =\"11127808\"]\n  20 -> 34 [size =\"11127808\"]\n  20 -> 35 [size =\"11127808\"]\n  20 -> 37 [size =\"11127808\"]\n  20 -> 38 [size =\"11127808\"]\n  20 -> 41 [size =\"11127808\"]\n  20 -> 42 [size =\"11127808\"]\n  20 -> 43 [size =\"11127808\"]\n  21 [size=\"75589120\", alpha=\"0.10\", expect_size=\"30235648\"] \n  21 -> 32 [size =\"30235648\"]\n  21 -> 33 [size =\"30235648\"]\n  21 -> 35 [size =\"30235648\"]\n  21 -> 36 [size =\"30235648\"]\n  21 -> 38 [size =\"30235648\"]\n  21 -> 38 [size =\"30235648\"]\n  21 -> 39 [size =\"30235648\"]\n  21 -> 40 [size =\"30235648\"]\n  21 -> 42 [size =\"30235648\"]\n  21 -> 43 [size =\"30235648\"]\n  22 [size=\"107648000\", alpha=\"0.11\", expect_size=\"43059200\"] \n  22 -> 32 [size =\"43059200\"]\n  22 -> 33 [size =\"43059200\"]\n  22 -> 35 [size =\"43059200\"]\n  22 -> 36 [size =\"43059200\"]\n  22 -> 37 [size =\"43059200\"]\n  22 -> 38 [size =\"43059200\"]\n  22 -> 39 [size =\"43059200\"]\n  22 -> 42 [size =\"43059200\"]\n  22 -> 42 [size =\"43059200\"]\n  22 -> 43 [size =\"43059200\"]\n  23 [size=\"102502400\", alpha=\"0.02\", expect_size=\"41000960\"] \n  23 -> 32 [size =\"41000960\"]\n  23 -> 33 [size =\"41000960\"]\n  23 -> 35 [size =\"41000960\"]\n  23 -> 36 [size =\"41000960\"]\n  23 -> 37 [size =\"41000960\"]\n  23 -> 39 [size =\"41000960\"]\n  23 -> 39 [size =\"41000960\"]\n  23 -> 40 [size =\"41000960\"]\n  23 -> 42 [size =\"41000960\"]\n  23 -> 44 [size =\"41000960\"]\n  24 [size=\"30361600\", alpha=\"0.05\", expect_size=\"12144640\"] \n  24 -> 32 [size =\"12144640\"]\n  24 -> 33 [size =\"12144640\"]\n  24 -> 35 [size =\"12144640\"]\n  24 -> 36 [size =\"12144640\"]\n  24 -> 40 [size =\"12144640\"]\n  24 -> 43 [size =\"12144640\"]\n  25 [size=\"93987840\", alpha=\"0.18\", expect_size=\"37595136\"] \n  25 -> 29 [size =\"37595136\"]\n  25 -> 30 [size =\"37595136\"]\n  25 -> 33 [size =\"37595136\"]\n  25 -> 35 [size =\"37595136\"]\n  25 -> 39 [size =\"37595136\"]\n  25 -> 40 [size =\"37595136\"]\n  26 [size=\"66117120\", alpha=\"0.01\", expect_size=\"26446848\"] \n  26 -> 32 [size =\"26446848\"]\n  26 -> 33 [size =\"26446848\"]\n  26 -> 35 [size =\"26446848\"]\n  26 -> 35 [size =\"26446848\"]\n  26 -> 36 [size =\"26446848\"]\n  26 -> 39 [size =\"26446848\"]\n  26 -> 40 [size =\"26446848\"]\n  26 -> 43 [size =\"26446848\"]\n  26 -> 44 [size =\"26446848\"]\n  27 [size=\"91031040\", alpha=\"0.10\", expect_size=\"36412416\"] \n  27 -> 35 [size =\"36412416\"]\n  27 -> 36 [size =\"36412416\"]\n  27 -> 41 [size =\"36412416\"]\n  27 -> 42 [size =\"36412416\"]\n  27 -> 43 [size =\"36412416\"]\n  28 [size=\"30965760\", alpha=\"0.01\", expect_size=\"12386304\"] \n  28 -> 34 [size =\"12386304\"]\n  28 -> 35 [size =\"12386304\"]\n  28 -> 36 [size =\"12386304\"]\n  28 -> 39 [size =\"12386304\"]\n  28 -> 40 [size =\"12386304\"]\n  28 -> 42 [size =\"12386304\"]\n  28 -> 43 [size =\"12386304\"]\n  28 -> 44 [size =\"12386304\"]\n  29 [size=\"26890240\", alpha=\"0.03\", expect_size=\"10756096\"] \n  30 [size=\"28357120\", alpha=\"0.17\", expect_size=\"11342848\"] \n  31 [size=\"46195200\", alpha=\"0.02\", expect_size=\"18478080\"] \n  32 [size=\"107169280\", alpha=\"0.16\", expect_size=\"42867712\"] \n  33 [size=\"52029440\", alpha=\"0.16\", expect_size=\"20811776\"] \n  34 [size=\"61137920\", alpha=\"0.16\", expect_size=\"24455168\"] \n  35 [size=\"88207360\", alpha=\"0.17\", expect_size=\"35282944\"] \n  36 [size=\"74019840\", alpha=\"0.18\", expect_size=\"29607936\"] \n  37 [size=\"78681600\", alpha=\"0.02\", expect_size=\"31472640\"] \n  38 [size=\"19847680\", alpha=\"0.18\", expect_size=\"7939072\"] \n  39 [size=\"24394240\", alpha=\"0.13\", expect_size=\"9757696\"] \n  40 [size=\"41397760\", alpha=\"0.11\", expect_size=\"16559104\"] \n  41 [size=\"24691200\", alpha=\"0.19\", expect_size=\"9876480\"] \n  42 [size=\"39354880\", alpha=\"0.03\", expect_size=\"15741952\"] \n  43 [size=\"13742080\", alpha=\"0.02\", expect_size=\"5496832\"] \n  44 [size=\"106350080\", alpha=\"0.04\", expect_size=\"42540032\"] \n  45 [size=\"80837120\", alpha=\"0.20\", expect_size=\"32334848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20482048\", alpha=\"0.19\", expect_size=\"10241024\"] \n  1 -> 6 [size =\"10241024\"]\n  1 -> 8 [size =\"10241024\"]\n  1 -> 10 [size =\"10241024\"]\n  2 [size=\"100980736\", alpha=\"0.10\", expect_size=\"50490368\"] \n  2 -> 8 [size =\"50490368\"]\n  2 -> 9 [size =\"50490368\"]\n  3 [size=\"71831552\", alpha=\"0.01\", expect_size=\"35915776\"] \n  3 -> 11 [size =\"35915776\"]\n  4 [size=\"89915392\", alpha=\"0.09\", expect_size=\"44957696\"] \n  4 -> 11 [size =\"44957696\"]\n  5 [size=\"95166464\", alpha=\"0.17\", expect_size=\"47583232\"] \n  5 -> 7 [size =\"47583232\"]\n  5 -> 9 [size =\"47583232\"]\n  5 -> 11 [size =\"47583232\"]\n  6 [size=\"99651584\", alpha=\"0.20\", expect_size=\"49825792\"] \n  6 -> 14 [size =\"49825792\"]\n  6 -> 15 [size =\"49825792\"]\n  6 -> 17 [size =\"49825792\"]\n  7 [size=\"53047296\", alpha=\"0.15\", expect_size=\"26523648\"] \n  7 -> 17 [size =\"26523648\"]\n  8 [size=\"94113792\", alpha=\"0.10\", expect_size=\"47056896\"] \n  8 -> 15 [size =\"47056896\"]\n  9 [size=\"78526464\", alpha=\"0.05\", expect_size=\"39263232\"] \n  9 -> 12 [size =\"39263232\"]\n  9 -> 13 [size =\"39263232\"]\n  10 [size=\"87472128\", alpha=\"0.05\", expect_size=\"43736064\"] \n  10 -> 13 [size =\"43736064\"]\n  10 -> 15 [size =\"43736064\"]\n  10 -> 16 [size =\"43736064\"]\n  11 [size=\"101021696\", alpha=\"0.09\", expect_size=\"50510848\"] \n  11 -> 13 [size =\"50510848\"]\n  11 -> 16 [size =\"50510848\"]\n  12 [size=\"94951424\", alpha=\"0.02\", expect_size=\"47475712\"] \n  13 [size=\"46458880\", alpha=\"0.09\", expect_size=\"23229440\"] \n  13 -> 18 [size =\"23229440\"]\n  13 -> 21 [size =\"23229440\"]\n  13 -> 22 [size =\"23229440\"]\n  14 [size=\"50610176\", alpha=\"0.07\", expect_size=\"25305088\"] \n  14 -> 19 [size =\"25305088\"]\n  14 -> 22 [size =\"25305088\"]\n  15 [size=\"93413376\", alpha=\"0.17\", expect_size=\"46706688\"] \n  15 -> 20 [size =\"46706688\"]\n  15 -> 21 [size =\"46706688\"]\n  16 [size=\"76988416\", alpha=\"0.01\", expect_size=\"38494208\"] \n  16 -> 18 [size =\"38494208\"]\n  16 -> 19 [size =\"38494208\"]\n  16 -> 20 [size =\"38494208\"]\n  17 [size=\"76748800\", alpha=\"0.19\", expect_size=\"38374400\"] \n  17 -> 19 [size =\"38374400\"]\n  17 -> 20 [size =\"38374400\"]\n  17 -> 21 [size =\"38374400\"]\n  17 -> 22 [size =\"38374400\"]\n  18 [size=\"52938752\", alpha=\"0.06\", expect_size=\"26469376\"] \n  18 -> 26 [size =\"26469376\"]\n  19 [size=\"101922816\", alpha=\"0.12\", expect_size=\"50961408\"] \n  19 -> 23 [size =\"50961408\"]\n  19 -> 25 [size =\"50961408\"]\n  20 [size=\"29310976\", alpha=\"0.07\", expect_size=\"14655488\"] \n  20 -> 23 [size =\"14655488\"]\n  20 -> 24 [size =\"14655488\"]\n  20 -> 25 [size =\"14655488\"]\n  20 -> 27 [size =\"14655488\"]\n  21 [size=\"55236608\", alpha=\"0.04\", expect_size=\"27618304\"] \n  21 -> 23 [size =\"27618304\"]\n  22 [size=\"97730560\", alpha=\"0.00\", expect_size=\"48865280\"] \n  22 -> 24 [size =\"48865280\"]\n  22 -> 28 [size =\"48865280\"]\n  23 [size=\"14407680\", alpha=\"0.09\", expect_size=\"7203840\"] \n  24 [size=\"57618432\", alpha=\"0.15\", expect_size=\"28809216\"] \n  24 -> 29 [size =\"28809216\"]\n  25 [size=\"91144192\", alpha=\"0.19\", expect_size=\"45572096\"] \n  25 -> 31 [size =\"45572096\"]\n  25 -> 32 [size =\"45572096\"]\n  26 [size=\"75020288\", alpha=\"0.02\", expect_size=\"37510144\"] \n  26 -> 31 [size =\"37510144\"]\n  26 -> 32 [size =\"37510144\"]\n  26 -> 33 [size =\"37510144\"]\n  27 [size=\"80506880\", alpha=\"0.14\", expect_size=\"40253440\"] \n  27 -> 30 [size =\"40253440\"]\n  27 -> 33 [size =\"40253440\"]\n  28 [size=\"77324288\", alpha=\"0.04\", expect_size=\"38662144\"] \n  28 -> 30 [size =\"38662144\"]\n  28 -> 31 [size =\"38662144\"]\n  28 -> 32 [size =\"38662144\"]\n  29 [size=\"104507392\", alpha=\"0.08\", expect_size=\"52253696\"] \n  29 -> 36 [size =\"52253696\"]\n  29 -> 38 [size =\"52253696\"]\n  30 [size=\"68640768\", alpha=\"0.08\", expect_size=\"34320384\"] \n  30 -> 34 [size =\"34320384\"]\n  30 -> 38 [size =\"34320384\"]\n  31 [size=\"102830080\", alpha=\"0.07\", expect_size=\"51415040\"] \n  31 -> 34 [size =\"51415040\"]\n  31 -> 35 [size =\"51415040\"]\n  31 -> 37 [size =\"51415040\"]\n  31 -> 38 [size =\"51415040\"]\n  32 [size=\"28327936\", alpha=\"0.05\", expect_size=\"14163968\"] \n  32 -> 35 [size =\"14163968\"]\n  33 [size=\"30001152\", alpha=\"0.10\", expect_size=\"15000576\"] \n  34 [size=\"74823680\", alpha=\"0.03\", expect_size=\"37411840\"] \n  34 -> 39 [size =\"37411840\"]\n  34 -> 40 [size =\"37411840\"]\n  34 -> 42 [size =\"37411840\"]\n  34 -> 43 [size =\"37411840\"]\n  35 [size=\"53483520\", alpha=\"0.14\", expect_size=\"26741760\"] \n  36 [size=\"50661376\", alpha=\"0.20\", expect_size=\"25330688\"] \n  36 -> 39 [size =\"25330688\"]\n  37 [size=\"61151232\", alpha=\"0.19\", expect_size=\"30575616\"] \n  38 [size=\"33142784\", alpha=\"0.07\", expect_size=\"16571392\"] \n  38 -> 39 [size =\"16571392\"]\n  38 -> 40 [size =\"16571392\"]\n  38 -> 41 [size =\"16571392\"]\n  39 [size=\"50270208\", alpha=\"0.15\", expect_size=\"25135104\"] \n  40 [size=\"86202368\", alpha=\"0.06\", expect_size=\"43101184\"] \n  40 -> 45 [size =\"43101184\"]\n  41 [size=\"29179904\", alpha=\"0.07\", expect_size=\"14589952\"] \n  41 -> 44 [size =\"14589952\"]\n  42 [size=\"64112640\", alpha=\"0.07\", expect_size=\"32056320\"] \n  42 -> 44 [size =\"32056320\"]\n  42 -> 45 [size =\"32056320\"]\n  43 [size=\"86724608\", alpha=\"0.07\", expect_size=\"43362304\"] \n  44 [size=\"38615040\", alpha=\"0.18\", expect_size=\"19307520\"] \n  45 [size=\"54286336\", alpha=\"0.05\", expect_size=\"27143168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13498368\", alpha=\"0.06\", expect_size=\"6749184\"] \n  1 -> 2 [size =\"6749184\"]\n  2 [size=\"66787328\", alpha=\"0.01\", expect_size=\"33393664\"] \n  2 -> 3 [size =\"33393664\"]\n  3 [size=\"75206656\", alpha=\"0.08\", expect_size=\"37603328\"] \n  3 -> 4 [size =\"37603328\"]\n  4 [size=\"33474560\", alpha=\"0.02\", expect_size=\"16737280\"] \n  4 -> 5 [size =\"16737280\"]\n  5 [size=\"71692288\", alpha=\"0.13\", expect_size=\"35846144\"] \n  5 -> 6 [size =\"35846144\"]\n  6 [size=\"11431936\", alpha=\"0.07\", expect_size=\"5715968\"] \n  6 -> 7 [size =\"5715968\"]\n  7 [size=\"101722112\", alpha=\"0.15\", expect_size=\"50861056\"] \n  7 -> 8 [size =\"50861056\"]\n  8 [size=\"57714688\", alpha=\"0.14\", expect_size=\"28857344\"] \n  8 -> 9 [size =\"28857344\"]\n  9 [size=\"26073088\", alpha=\"0.09\", expect_size=\"13036544\"] \n  9 -> 10 [size =\"13036544\"]\n  10 [size=\"59613184\", alpha=\"0.19\", expect_size=\"29806592\"] \n  10 -> 11 [size =\"29806592\"]\n  11 [size=\"71047168\", alpha=\"0.01\", expect_size=\"35523584\"] \n  11 -> 12 [size =\"35523584\"]\n  12 [size=\"101206016\", alpha=\"0.06\", expect_size=\"50603008\"] \n  12 -> 13 [size =\"50603008\"]\n  13 [size=\"104400896\", alpha=\"0.12\", expect_size=\"52200448\"] \n  13 -> 14 [size =\"52200448\"]\n  14 [size=\"48254976\", alpha=\"0.05\", expect_size=\"24127488\"] \n  14 -> 15 [size =\"24127488\"]\n  15 [size=\"56037376\", alpha=\"0.15\", expect_size=\"28018688\"] \n  15 -> 16 [size =\"28018688\"]\n  16 [size=\"24242176\", alpha=\"0.07\", expect_size=\"12121088\"] \n  16 -> 17 [size =\"12121088\"]\n  17 [size=\"59262976\", alpha=\"0.20\", expect_size=\"29631488\"] \n  17 -> 18 [size =\"29631488\"]\n  18 [size=\"33382400\", alpha=\"0.04\", expect_size=\"16691200\"] \n  18 -> 19 [size =\"16691200\"]\n  19 [size=\"100229120\", alpha=\"0.14\", expect_size=\"50114560\"] \n  19 -> 20 [size =\"50114560\"]\n  20 [size=\"49328128\", alpha=\"0.15\", expect_size=\"24664064\"] \n  20 -> 21 [size =\"24664064\"]\n  21 [size=\"46274560\", alpha=\"0.18\", expect_size=\"23137280\"] \n  21 -> 22 [size =\"23137280\"]\n  22 [size=\"49653760\", alpha=\"0.12\", expect_size=\"24826880\"] \n  22 -> 23 [size =\"24826880\"]\n  23 [size=\"80060416\", alpha=\"0.20\", expect_size=\"40030208\"] \n  23 -> 24 [size =\"40030208\"]\n  24 [size=\"42555392\", alpha=\"0.12\", expect_size=\"21277696\"] \n  24 -> 25 [size =\"21277696\"]\n  25 [size=\"68306944\", alpha=\"0.18\", expect_size=\"34153472\"] \n  25 -> 26 [size =\"34153472\"]\n  26 [size=\"46440448\", alpha=\"0.04\", expect_size=\"23220224\"] \n  26 -> 27 [size =\"23220224\"]\n  27 [size=\"80588800\", alpha=\"0.09\", expect_size=\"40294400\"] \n  27 -> 28 [size =\"40294400\"]\n  28 [size=\"79630336\", alpha=\"0.05\", expect_size=\"39815168\"] \n  28 -> 29 [size =\"39815168\"]\n  29 [size=\"97013760\", alpha=\"0.03\", expect_size=\"48506880\"] \n  29 -> 30 [size =\"48506880\"]\n  30 [size=\"68171776\", alpha=\"0.12\", expect_size=\"34085888\"] \n  30 -> 31 [size =\"34085888\"]\n  31 [size=\"46839808\", alpha=\"0.14\", expect_size=\"23419904\"] \n  31 -> 32 [size =\"23419904\"]\n  32 [size=\"36028416\", alpha=\"0.15\", expect_size=\"18014208\"] \n  32 -> 33 [size =\"18014208\"]\n  33 [size=\"92041216\", alpha=\"0.16\", expect_size=\"46020608\"] \n  33 -> 34 [size =\"46020608\"]\n  34 [size=\"90853376\", alpha=\"0.05\", expect_size=\"45426688\"] \n  34 -> 35 [size =\"45426688\"]\n  35 [size=\"55457792\", alpha=\"0.04\", expect_size=\"27728896\"] \n  35 -> 36 [size =\"27728896\"]\n  36 [size=\"47058944\", alpha=\"0.05\", expect_size=\"23529472\"] \n  36 -> 37 [size =\"23529472\"]\n  37 [size=\"66605056\", alpha=\"0.17\", expect_size=\"33302528\"] \n  37 -> 38 [size =\"33302528\"]\n  38 [size=\"16592896\", alpha=\"0.14\", expect_size=\"8296448\"] \n  38 -> 39 [size =\"8296448\"]\n  39 [size=\"38619136\", alpha=\"0.09\", expect_size=\"19309568\"] \n  39 -> 40 [size =\"19309568\"]\n  40 [size=\"53901312\", alpha=\"0.13\", expect_size=\"26950656\"] \n  40 -> 41 [size =\"26950656\"]\n  41 [size=\"17197056\", alpha=\"0.05\", expect_size=\"8598528\"] \n  41 -> 42 [size =\"8598528\"]\n  42 [size=\"83439616\", alpha=\"0.05\", expect_size=\"41719808\"] \n  42 -> 43 [size =\"41719808\"]\n  43 [size=\"60235776\", alpha=\"0.19\", expect_size=\"30117888\"] \n  43 -> 44 [size =\"30117888\"]\n  44 [size=\"41498624\", alpha=\"0.01\", expect_size=\"20749312\"] \n  44 -> 45 [size =\"20749312\"]\n  45 [size=\"64999424\", alpha=\"0.14\", expect_size=\"32499712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65328640\", alpha=\"0.17\", expect_size=\"26131456\"] \n  1 -> 17 [size =\"26131456\"]\n  1 -> 22 [size =\"26131456\"]\n  1 -> 24 [size =\"26131456\"]\n  1 -> 26 [size =\"26131456\"]\n  1 -> 27 [size =\"26131456\"]\n  2 [size=\"38868480\", alpha=\"0.09\", expect_size=\"15547392\"] \n  2 -> 16 [size =\"15547392\"]\n  2 -> 17 [size =\"15547392\"]\n  2 -> 24 [size =\"15547392\"]\n  3 [size=\"37447680\", alpha=\"0.11\", expect_size=\"14979072\"] \n  3 -> 17 [size =\"14979072\"]\n  3 -> 18 [size =\"14979072\"]\n  3 -> 22 [size =\"14979072\"]\n  3 -> 24 [size =\"14979072\"]\n  4 [size=\"56212480\", alpha=\"0.20\", expect_size=\"22484992\"] \n  4 -> 15 [size =\"22484992\"]\n  4 -> 20 [size =\"22484992\"]\n  4 -> 21 [size =\"22484992\"]\n  4 -> 24 [size =\"22484992\"]\n  4 -> 27 [size =\"22484992\"]\n  5 [size=\"19842560\", alpha=\"0.12\", expect_size=\"7937024\"] \n  5 -> 14 [size =\"7937024\"]\n  5 -> 15 [size =\"7937024\"]\n  5 -> 17 [size =\"7937024\"]\n  5 -> 22 [size =\"7937024\"]\n  6 [size=\"16960000\", alpha=\"0.12\", expect_size=\"6784000\"] \n  6 -> 14 [size =\"6784000\"]\n  6 -> 17 [size =\"6784000\"]\n  6 -> 19 [size =\"6784000\"]\n  6 -> 23 [size =\"6784000\"]\n  7 [size=\"104020480\", alpha=\"0.17\", expect_size=\"41608192\"] \n  7 -> 14 [size =\"41608192\"]\n  7 -> 18 [size =\"41608192\"]\n  7 -> 22 [size =\"41608192\"]\n  7 -> 23 [size =\"41608192\"]\n  7 -> 24 [size =\"41608192\"]\n  7 -> 26 [size =\"41608192\"]\n  7 -> 28 [size =\"41608192\"]\n  8 [size=\"87301120\", alpha=\"0.04\", expect_size=\"34920448\"] \n  8 -> 14 [size =\"34920448\"]\n  8 -> 15 [size =\"34920448\"]\n  8 -> 22 [size =\"34920448\"]\n  8 -> 23 [size =\"34920448\"]\n  8 -> 24 [size =\"34920448\"]\n  8 -> 25 [size =\"34920448\"]\n  9 [size=\"102471680\", alpha=\"0.07\", expect_size=\"40988672\"] \n  9 -> 14 [size =\"40988672\"]\n  9 -> 19 [size =\"40988672\"]\n  9 -> 21 [size =\"40988672\"]\n  10 [size=\"24962560\", alpha=\"0.17\", expect_size=\"9985024\"] \n  10 -> 14 [size =\"9985024\"]\n  10 -> 18 [size =\"9985024\"]\n  11 [size=\"117632000\", alpha=\"0.17\", expect_size=\"47052800\"] \n  11 -> 17 [size =\"47052800\"]\n  11 -> 18 [size =\"47052800\"]\n  11 -> 22 [size =\"47052800\"]\n  11 -> 24 [size =\"47052800\"]\n  12 [size=\"99760640\", alpha=\"0.04\", expect_size=\"39904256\"] \n  12 -> 17 [size =\"39904256\"]\n  12 -> 18 [size =\"39904256\"]\n  12 -> 19 [size =\"39904256\"]\n  12 -> 22 [size =\"39904256\"]\n  12 -> 25 [size =\"39904256\"]\n  12 -> 26 [size =\"39904256\"]\n  13 [size=\"33408000\", alpha=\"0.16\", expect_size=\"13363200\"] \n  13 -> 17 [size =\"13363200\"]\n  13 -> 18 [size =\"13363200\"]\n  13 -> 19 [size =\"13363200\"]\n  13 -> 24 [size =\"13363200\"]\n  14 [size=\"98961920\", alpha=\"0.04\", expect_size=\"39584768\"] \n  14 -> 31 [size =\"39584768\"]\n  14 -> 37 [size =\"39584768\"]\n  14 -> 41 [size =\"39584768\"]\n  15 [size=\"96437760\", alpha=\"0.06\", expect_size=\"38575104\"] \n  15 -> 29 [size =\"38575104\"]\n  15 -> 33 [size =\"38575104\"]\n  15 -> 39 [size =\"38575104\"]\n  15 -> 40 [size =\"38575104\"]\n  16 [size=\"49587200\", alpha=\"0.11\", expect_size=\"19834880\"] \n  16 -> 32 [size =\"19834880\"]\n  16 -> 34 [size =\"19834880\"]\n  16 -> 40 [size =\"19834880\"]\n  17 [size=\"120422400\", alpha=\"0.07\", expect_size=\"48168960\"] \n  17 -> 32 [size =\"48168960\"]\n  17 -> 34 [size =\"48168960\"]\n  17 -> 36 [size =\"48168960\"]\n  17 -> 38 [size =\"48168960\"]\n  17 -> 40 [size =\"48168960\"]\n  18 [size=\"102371840\", alpha=\"0.13\", expect_size=\"40948736\"] \n  18 -> 34 [size =\"40948736\"]\n  18 -> 37 [size =\"40948736\"]\n  18 -> 38 [size =\"40948736\"]\n  18 -> 39 [size =\"40948736\"]\n  18 -> 41 [size =\"40948736\"]\n  19 [size=\"127590400\", alpha=\"0.13\", expect_size=\"51036160\"] \n  19 -> 31 [size =\"51036160\"]\n  19 -> 32 [size =\"51036160\"]\n  19 -> 35 [size =\"51036160\"]\n  19 -> 41 [size =\"51036160\"]\n  19 -> 41 [size =\"51036160\"]\n  20 [size=\"48250880\", alpha=\"0.11\", expect_size=\"19300352\"] \n  20 -> 31 [size =\"19300352\"]\n  20 -> 41 [size =\"19300352\"]\n  21 [size=\"32729600\", alpha=\"0.18\", expect_size=\"13091840\"] \n  21 -> 30 [size =\"13091840\"]\n  21 -> 31 [size =\"13091840\"]\n  21 -> 34 [size =\"13091840\"]\n  21 -> 38 [size =\"13091840\"]\n  21 -> 39 [size =\"13091840\"]\n  21 -> 40 [size =\"13091840\"]\n  21 -> 41 [size =\"13091840\"]\n  22 [size=\"14005760\", alpha=\"0.09\", expect_size=\"5602304\"] \n  22 -> 29 [size =\"5602304\"]\n  22 -> 31 [size =\"5602304\"]\n  22 -> 32 [size =\"5602304\"]\n  22 -> 37 [size =\"5602304\"]\n  22 -> 38 [size =\"5602304\"]\n  22 -> 40 [size =\"5602304\"]\n  22 -> 42 [size =\"5602304\"]\n  23 [size=\"37670400\", alpha=\"0.04\", expect_size=\"15068160\"] \n  23 -> 32 [size =\"15068160\"]\n  23 -> 34 [size =\"15068160\"]\n  23 -> 36 [size =\"15068160\"]\n  23 -> 38 [size =\"15068160\"]\n  24 [size=\"129274880\", alpha=\"0.07\", expect_size=\"51709952\"] \n  24 -> 30 [size =\"51709952\"]\n  24 -> 31 [size =\"51709952\"]\n  24 -> 33 [size =\"51709952\"]\n  24 -> 34 [size =\"51709952\"]\n  24 -> 35 [size =\"51709952\"]\n  24 -> 36 [size =\"51709952\"]\n  25 [size=\"37314560\", alpha=\"0.11\", expect_size=\"14925824\"] \n  25 -> 33 [size =\"14925824\"]\n  25 -> 34 [size =\"14925824\"]\n  25 -> 35 [size =\"14925824\"]\n  25 -> 36 [size =\"14925824\"]\n  25 -> 37 [size =\"14925824\"]\n  25 -> 38 [size =\"14925824\"]\n  25 -> 39 [size =\"14925824\"]\n  26 [size=\"74019840\", alpha=\"0.15\", expect_size=\"29607936\"] \n  26 -> 30 [size =\"29607936\"]\n  26 -> 33 [size =\"29607936\"]\n  26 -> 38 [size =\"29607936\"]\n  27 [size=\"19975680\", alpha=\"0.15\", expect_size=\"7990272\"] \n  27 -> 38 [size =\"7990272\"]\n  28 [size=\"59809280\", alpha=\"0.08\", expect_size=\"23923712\"] \n  28 -> 31 [size =\"23923712\"]\n  28 -> 37 [size =\"23923712\"]\n  28 -> 38 [size =\"23923712\"]\n  29 [size=\"19317760\", alpha=\"0.15\", expect_size=\"7727104\"] \n  30 [size=\"94691840\", alpha=\"0.05\", expect_size=\"37876736\"] \n  30 -> 45 [size =\"37876736\"]\n  31 [size=\"40514560\", alpha=\"0.12\", expect_size=\"16205824\"] \n  32 [size=\"26977280\", alpha=\"0.14\", expect_size=\"10790912\"] \n  33 [size=\"79841280\", alpha=\"0.20\", expect_size=\"31936512\"] \n  34 [size=\"105484800\", alpha=\"0.00\", expect_size=\"42193920\"] \n  35 [size=\"29048320\", alpha=\"0.14\", expect_size=\"11619328\"] \n  35 -> 45 [size =\"11619328\"]\n  36 [size=\"93199360\", alpha=\"0.15\", expect_size=\"37279744\"] \n  36 -> 45 [size =\"37279744\"]\n  37 [size=\"65863680\", alpha=\"0.13\", expect_size=\"26345472\"] \n  37 -> 44 [size =\"26345472\"]\n  38 [size=\"37957120\", alpha=\"0.07\", expect_size=\"15182848\"] \n  38 -> 45 [size =\"15182848\"]\n  39 [size=\"83673600\", alpha=\"0.20\", expect_size=\"33469440\"] \n  40 [size=\"56450560\", alpha=\"0.19\", expect_size=\"22580224\"] \n  40 -> 44 [size =\"22580224\"]\n  41 [size=\"86108160\", alpha=\"0.01\", expect_size=\"34443264\"] \n  41 -> 44 [size =\"34443264\"]\n  41 -> 45 [size =\"34443264\"]\n  42 [size=\"41244160\", alpha=\"0.04\", expect_size=\"16497664\"] \n  42 -> 43 [size =\"16497664\"]\n  42 -> 44 [size =\"16497664\"]\n  43 [size=\"126476800\", alpha=\"0.11\", expect_size=\"50590720\"] \n  44 [size=\"126182400\", alpha=\"0.17\", expect_size=\"50472960\"] \n  45 [size=\"126215680\", alpha=\"0.08\", expect_size=\"50486272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95485952\", alpha=\"0.11\", expect_size=\"47742976\"] \n  1 -> 2 [size =\"47742976\"]\n  2 [size=\"12163072\", alpha=\"0.19\", expect_size=\"6081536\"] \n  2 -> 3 [size =\"6081536\"]\n  3 [size=\"94547968\", alpha=\"0.12\", expect_size=\"47273984\"] \n  3 -> 4 [size =\"47273984\"]\n  4 [size=\"97865728\", alpha=\"0.14\", expect_size=\"48932864\"] \n  4 -> 5 [size =\"48932864\"]\n  5 [size=\"25692160\", alpha=\"0.12\", expect_size=\"12846080\"] \n  5 -> 6 [size =\"12846080\"]\n  6 [size=\"82864128\", alpha=\"0.12\", expect_size=\"41432064\"] \n  6 -> 7 [size =\"41432064\"]\n  7 [size=\"68771840\", alpha=\"0.00\", expect_size=\"34385920\"] \n  7 -> 8 [size =\"34385920\"]\n  8 [size=\"83896320\", alpha=\"0.10\", expect_size=\"41948160\"] \n  8 -> 9 [size =\"41948160\"]\n  9 [size=\"33613824\", alpha=\"0.02\", expect_size=\"16806912\"] \n  9 -> 10 [size =\"16806912\"]\n  10 [size=\"98779136\", alpha=\"0.11\", expect_size=\"49389568\"] \n  10 -> 11 [size =\"49389568\"]\n  11 [size=\"66410496\", alpha=\"0.17\", expect_size=\"33205248\"] \n  11 -> 12 [size =\"33205248\"]\n  12 [size=\"26220544\", alpha=\"0.14\", expect_size=\"13110272\"] \n  12 -> 13 [size =\"13110272\"]\n  13 [size=\"19281920\", alpha=\"0.04\", expect_size=\"9640960\"] \n  13 -> 14 [size =\"9640960\"]\n  14 [size=\"75689984\", alpha=\"0.01\", expect_size=\"37844992\"] \n  14 -> 15 [size =\"37844992\"]\n  15 [size=\"45393920\", alpha=\"0.09\", expect_size=\"22696960\"] \n  15 -> 16 [size =\"22696960\"]\n  16 [size=\"103307264\", alpha=\"0.18\", expect_size=\"51653632\"] \n  16 -> 17 [size =\"51653632\"]\n  17 [size=\"66136064\", alpha=\"0.02\", expect_size=\"33068032\"] \n  17 -> 18 [size =\"33068032\"]\n  18 [size=\"68212736\", alpha=\"0.17\", expect_size=\"34106368\"] \n  18 -> 19 [size =\"34106368\"]\n  19 [size=\"21559296\", alpha=\"0.04\", expect_size=\"10779648\"] \n  19 -> 20 [size =\"10779648\"]\n  20 [size=\"30318592\", alpha=\"0.01\", expect_size=\"15159296\"] \n  20 -> 21 [size =\"15159296\"]\n  21 [size=\"80752640\", alpha=\"0.15\", expect_size=\"40376320\"] \n  21 -> 22 [size =\"40376320\"]\n  22 [size=\"68421632\", alpha=\"0.10\", expect_size=\"34210816\"] \n  22 -> 23 [size =\"34210816\"]\n  23 [size=\"39008256\", alpha=\"0.03\", expect_size=\"19504128\"] \n  23 -> 24 [size =\"19504128\"]\n  24 [size=\"58859520\", alpha=\"0.14\", expect_size=\"29429760\"] \n  24 -> 25 [size =\"29429760\"]\n  25 [size=\"61851648\", alpha=\"0.09\", expect_size=\"30925824\"] \n  25 -> 26 [size =\"30925824\"]\n  26 [size=\"104329216\", alpha=\"0.18\", expect_size=\"52164608\"] \n  26 -> 27 [size =\"52164608\"]\n  27 [size=\"96698368\", alpha=\"0.00\", expect_size=\"48349184\"] \n  27 -> 28 [size =\"48349184\"]\n  28 [size=\"104607744\", alpha=\"0.18\", expect_size=\"52303872\"] \n  28 -> 29 [size =\"52303872\"]\n  29 [size=\"91133952\", alpha=\"0.01\", expect_size=\"45566976\"] \n  29 -> 30 [size =\"45566976\"]\n  30 [size=\"16404480\", alpha=\"0.02\", expect_size=\"8202240\"] \n  30 -> 31 [size =\"8202240\"]\n  31 [size=\"19664896\", alpha=\"0.15\", expect_size=\"9832448\"] \n  31 -> 32 [size =\"9832448\"]\n  32 [size=\"91545600\", alpha=\"0.12\", expect_size=\"45772800\"] \n  32 -> 33 [size =\"45772800\"]\n  33 [size=\"44982272\", alpha=\"0.10\", expect_size=\"22491136\"] \n  33 -> 34 [size =\"22491136\"]\n  34 [size=\"58406912\", alpha=\"0.02\", expect_size=\"29203456\"] \n  34 -> 35 [size =\"29203456\"]\n  35 [size=\"30459904\", alpha=\"0.02\", expect_size=\"15229952\"] \n  35 -> 36 [size =\"15229952\"]\n  36 [size=\"70719488\", alpha=\"0.01\", expect_size=\"35359744\"] \n  36 -> 37 [size =\"35359744\"]\n  37 [size=\"62824448\", alpha=\"0.12\", expect_size=\"31412224\"] \n  37 -> 38 [size =\"31412224\"]\n  38 [size=\"65058816\", alpha=\"0.16\", expect_size=\"32529408\"] \n  38 -> 39 [size =\"32529408\"]\n  39 [size=\"56465408\", alpha=\"0.01\", expect_size=\"28232704\"] \n  39 -> 40 [size =\"28232704\"]\n  40 [size=\"60170240\", alpha=\"0.11\", expect_size=\"30085120\"] \n  40 -> 41 [size =\"30085120\"]\n  41 [size=\"70098944\", alpha=\"0.16\", expect_size=\"35049472\"] \n  41 -> 42 [size =\"35049472\"]\n  42 [size=\"47804416\", alpha=\"0.13\", expect_size=\"23902208\"] \n  42 -> 43 [size =\"23902208\"]\n  43 [size=\"103395328\", alpha=\"0.16\", expect_size=\"51697664\"] \n  43 -> 44 [size =\"51697664\"]\n  44 [size=\"56924160\", alpha=\"0.09\", expect_size=\"28462080\"] \n  44 -> 45 [size =\"28462080\"]\n  45 [size=\"67966976\", alpha=\"0.13\", expect_size=\"33983488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139762347\", alpha=\"0.15\", expect_size=\"41928704\"] \n  1 -> 8 [size =\"41928704\"]\n  1 -> 9 [size =\"41928704\"]\n  2 [size=\"43021653\", alpha=\"0.18\", expect_size=\"12906496\"] \n  2 -> 7 [size =\"12906496\"]\n  2 -> 9 [size =\"12906496\"]\n  2 -> 11 [size =\"12906496\"]\n  3 [size=\"67624960\", alpha=\"0.13\", expect_size=\"20287488\"] \n  3 -> 7 [size =\"20287488\"]\n  3 -> 11 [size =\"20287488\"]\n  4 [size=\"155559253\", alpha=\"0.10\", expect_size=\"46667776\"] \n  4 -> 6 [size =\"46667776\"]\n  4 -> 9 [size =\"46667776\"]\n  5 [size=\"67826347\", alpha=\"0.16\", expect_size=\"20347904\"] \n  5 -> 7 [size =\"20347904\"]\n  5 -> 10 [size =\"20347904\"]\n  6 [size=\"138383360\", alpha=\"0.13\", expect_size=\"41515008\"] \n  6 -> 12 [size =\"41515008\"]\n  6 -> 13 [size =\"41515008\"]\n  6 -> 14 [size =\"41515008\"]\n  6 -> 16 [size =\"41515008\"]\n  6 -> 17 [size =\"41515008\"]\n  7 [size=\"96098987\", alpha=\"0.05\", expect_size=\"28829696\"] \n  7 -> 12 [size =\"28829696\"]\n  7 -> 13 [size =\"28829696\"]\n  7 -> 14 [size =\"28829696\"]\n  7 -> 17 [size =\"28829696\"]\n  8 [size=\"142749013\", alpha=\"0.16\", expect_size=\"42824704\"] \n  8 -> 12 [size =\"42824704\"]\n  8 -> 13 [size =\"42824704\"]\n  8 -> 15 [size =\"42824704\"]\n  8 -> 17 [size =\"42824704\"]\n  9 [size=\"103830187\", alpha=\"0.20\", expect_size=\"31149056\"] \n  9 -> 12 [size =\"31149056\"]\n  10 [size=\"81404587\", alpha=\"0.08\", expect_size=\"24421376\"] \n  10 -> 12 [size =\"24421376\"]\n  10 -> 13 [size =\"24421376\"]\n  11 [size=\"173090133\", alpha=\"0.03\", expect_size=\"51927040\"] \n  11 -> 13 [size =\"51927040\"]\n  11 -> 16 [size =\"51927040\"]\n  11 -> 17 [size =\"51927040\"]\n  12 [size=\"129935360\", alpha=\"0.04\", expect_size=\"38980608\"] \n  12 -> 18 [size =\"38980608\"]\n  13 [size=\"116247893\", alpha=\"0.10\", expect_size=\"34874368\"] \n  13 -> 20 [size =\"34874368\"]\n  14 [size=\"61378560\", alpha=\"0.04\", expect_size=\"18413568\"] \n  14 -> 18 [size =\"18413568\"]\n  15 [size=\"143858347\", alpha=\"0.16\", expect_size=\"43157504\"] \n  15 -> 18 [size =\"43157504\"]\n  16 [size=\"110124373\", alpha=\"0.17\", expect_size=\"33037312\"] \n  16 -> 18 [size =\"33037312\"]\n  16 -> 19 [size =\"33037312\"]\n  16 -> 20 [size =\"33037312\"]\n  17 [size=\"57374720\", alpha=\"0.19\", expect_size=\"17212416\"] \n  17 -> 19 [size =\"17212416\"]\n  17 -> 19 [size =\"17212416\"]\n  17 -> 21 [size =\"17212416\"]\n  17 -> 22 [size =\"17212416\"]\n  18 [size=\"95989760\", alpha=\"0.08\", expect_size=\"28796928\"] \n  19 [size=\"67539627\", alpha=\"0.17\", expect_size=\"20261888\"] \n  19 -> 25 [size =\"20261888\"]\n  19 -> 26 [size =\"20261888\"]\n  19 -> 27 [size =\"20261888\"]\n  20 [size=\"67536213\", alpha=\"0.13\", expect_size=\"20260864\"] \n  20 -> 25 [size =\"20260864\"]\n  20 -> 27 [size =\"20260864\"]\n  21 [size=\"130587307\", alpha=\"0.04\", expect_size=\"39176192\"] \n  21 -> 23 [size =\"39176192\"]\n  21 -> 24 [size =\"39176192\"]\n  21 -> 26 [size =\"39176192\"]\n  22 [size=\"153852587\", alpha=\"0.18\", expect_size=\"46155776\"] \n  22 -> 24 [size =\"46155776\"]\n  23 [size=\"31764480\", alpha=\"0.19\", expect_size=\"9529344\"] \n  23 -> 28 [size =\"9529344\"]\n  23 -> 29 [size =\"9529344\"]\n  23 -> 30 [size =\"9529344\"]\n  23 -> 32 [size =\"9529344\"]\n  24 [size=\"112172373\", alpha=\"0.17\", expect_size=\"33651712\"] \n  24 -> 28 [size =\"33651712\"]\n  24 -> 30 [size =\"33651712\"]\n  24 -> 31 [size =\"33651712\"]\n  24 -> 32 [size =\"33651712\"]\n  25 [size=\"142974293\", alpha=\"0.01\", expect_size=\"42892288\"] \n  25 -> 29 [size =\"42892288\"]\n  25 -> 30 [size =\"42892288\"]\n  25 -> 31 [size =\"42892288\"]\n  26 [size=\"108864853\", alpha=\"0.01\", expect_size=\"32659456\"] \n  26 -> 32 [size =\"32659456\"]\n  26 -> 33 [size =\"32659456\"]\n  27 [size=\"82991787\", alpha=\"0.11\", expect_size=\"24897536\"] \n  27 -> 31 [size =\"24897536\"]\n  27 -> 32 [size =\"24897536\"]\n  27 -> 33 [size =\"24897536\"]\n  28 [size=\"78322347\", alpha=\"0.17\", expect_size=\"23496704\"] \n  28 -> 35 [size =\"23496704\"]\n  28 -> 37 [size =\"23496704\"]\n  29 [size=\"138478933\", alpha=\"0.14\", expect_size=\"41543680\"] \n  30 [size=\"116715520\", alpha=\"0.19\", expect_size=\"35014656\"] \n  30 -> 38 [size =\"35014656\"]\n  31 [size=\"59231573\", alpha=\"0.04\", expect_size=\"17769472\"] \n  31 -> 35 [size =\"17769472\"]\n  31 -> 38 [size =\"17769472\"]\n  32 [size=\"88316587\", alpha=\"0.03\", expect_size=\"26494976\"] \n  32 -> 34 [size =\"26494976\"]\n  32 -> 35 [size =\"26494976\"]\n  33 [size=\"72232960\", alpha=\"0.15\", expect_size=\"21669888\"] \n  33 -> 35 [size =\"21669888\"]\n  33 -> 36 [size =\"21669888\"]\n  33 -> 38 [size =\"21669888\"]\n  34 [size=\"61129387\", alpha=\"0.12\", expect_size=\"18338816\"] \n  34 -> 39 [size =\"18338816\"]\n  34 -> 43 [size =\"18338816\"]\n  35 [size=\"35802453\", alpha=\"0.05\", expect_size=\"10740736\"] \n  35 -> 40 [size =\"10740736\"]\n  35 -> 41 [size =\"10740736\"]\n  35 -> 43 [size =\"10740736\"]\n  36 [size=\"46605653\", alpha=\"0.10\", expect_size=\"13981696\"] \n  36 -> 39 [size =\"13981696\"]\n  36 -> 40 [size =\"13981696\"]\n  36 -> 41 [size =\"13981696\"]\n  36 -> 42 [size =\"13981696\"]\n  36 -> 43 [size =\"13981696\"]\n  37 [size=\"57159680\", alpha=\"0.00\", expect_size=\"17147904\"] \n  37 -> 39 [size =\"17147904\"]\n  37 -> 41 [size =\"17147904\"]\n  37 -> 42 [size =\"17147904\"]\n  37 -> 43 [size =\"17147904\"]\n  38 [size=\"146094080\", alpha=\"0.01\", expect_size=\"43828224\"] \n  38 -> 39 [size =\"43828224\"]\n  38 -> 40 [size =\"43828224\"]\n  38 -> 42 [size =\"43828224\"]\n  39 [size=\"124101973\", alpha=\"0.07\", expect_size=\"37230592\"] \n  39 -> 44 [size =\"37230592\"]\n  40 [size=\"77544107\", alpha=\"0.20\", expect_size=\"23263232\"] \n  40 -> 45 [size =\"23263232\"]\n  41 [size=\"70352213\", alpha=\"0.07\", expect_size=\"21105664\"] \n  41 -> 45 [size =\"21105664\"]\n  42 [size=\"100850347\", alpha=\"0.12\", expect_size=\"30255104\"] \n  43 [size=\"124218027\", alpha=\"0.18\", expect_size=\"37265408\"] \n  43 -> 44 [size =\"37265408\"]\n  44 [size=\"81933653\", alpha=\"0.17\", expect_size=\"24580096\"] \n  45 [size=\"17909760\", alpha=\"0.11\", expect_size=\"5372928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55021568\", alpha=\"0.15\", expect_size=\"27510784\"] \n  1 -> 2 [size =\"27510784\"]\n  2 [size=\"28688384\", alpha=\"0.12\", expect_size=\"14344192\"] \n  2 -> 3 [size =\"14344192\"]\n  3 [size=\"52074496\", alpha=\"0.06\", expect_size=\"26037248\"] \n  3 -> 4 [size =\"26037248\"]\n  4 [size=\"82651136\", alpha=\"0.09\", expect_size=\"41325568\"] \n  4 -> 5 [size =\"41325568\"]\n  5 [size=\"53774336\", alpha=\"0.19\", expect_size=\"26887168\"] \n  5 -> 6 [size =\"26887168\"]\n  6 [size=\"14600192\", alpha=\"0.04\", expect_size=\"7300096\"] \n  6 -> 7 [size =\"7300096\"]\n  7 [size=\"17440768\", alpha=\"0.04\", expect_size=\"8720384\"] \n  7 -> 8 [size =\"8720384\"]\n  8 [size=\"41388032\", alpha=\"0.06\", expect_size=\"20694016\"] \n  8 -> 9 [size =\"20694016\"]\n  9 [size=\"35790848\", alpha=\"0.15\", expect_size=\"17895424\"] \n  9 -> 10 [size =\"17895424\"]\n  10 [size=\"77346816\", alpha=\"0.10\", expect_size=\"38673408\"] \n  10 -> 11 [size =\"38673408\"]\n  11 [size=\"62560256\", alpha=\"0.04\", expect_size=\"31280128\"] \n  11 -> 12 [size =\"31280128\"]\n  12 [size=\"39886848\", alpha=\"0.14\", expect_size=\"19943424\"] \n  12 -> 13 [size =\"19943424\"]\n  13 [size=\"97077248\", alpha=\"0.03\", expect_size=\"48538624\"] \n  13 -> 14 [size =\"48538624\"]\n  14 [size=\"30631936\", alpha=\"0.05\", expect_size=\"15315968\"] \n  14 -> 15 [size =\"15315968\"]\n  15 [size=\"73015296\", alpha=\"0.15\", expect_size=\"36507648\"] \n  15 -> 16 [size =\"36507648\"]\n  16 [size=\"67584000\", alpha=\"0.15\", expect_size=\"33792000\"] \n  16 -> 17 [size =\"33792000\"]\n  17 [size=\"84908032\", alpha=\"0.08\", expect_size=\"42454016\"] \n  17 -> 18 [size =\"42454016\"]\n  18 [size=\"11429888\", alpha=\"0.14\", expect_size=\"5714944\"] \n  18 -> 19 [size =\"5714944\"]\n  19 [size=\"37894144\", alpha=\"0.14\", expect_size=\"18947072\"] \n  19 -> 20 [size =\"18947072\"]\n  20 [size=\"12734464\", alpha=\"0.04\", expect_size=\"6367232\"] \n  20 -> 21 [size =\"6367232\"]\n  21 [size=\"58157056\", alpha=\"0.04\", expect_size=\"29078528\"] \n  21 -> 22 [size =\"29078528\"]\n  22 [size=\"75200512\", alpha=\"0.07\", expect_size=\"37600256\"] \n  22 -> 23 [size =\"37600256\"]\n  23 [size=\"46245888\", alpha=\"0.20\", expect_size=\"23122944\"] \n  23 -> 24 [size =\"23122944\"]\n  24 [size=\"61689856\", alpha=\"0.07\", expect_size=\"30844928\"] \n  24 -> 25 [size =\"30844928\"]\n  25 [size=\"87289856\", alpha=\"0.04\", expect_size=\"43644928\"] \n  25 -> 26 [size =\"43644928\"]\n  26 [size=\"61489152\", alpha=\"0.02\", expect_size=\"30744576\"] \n  26 -> 27 [size =\"30744576\"]\n  27 [size=\"39137280\", alpha=\"0.01\", expect_size=\"19568640\"] \n  27 -> 28 [size =\"19568640\"]\n  28 [size=\"75663360\", alpha=\"0.07\", expect_size=\"37831680\"] \n  28 -> 29 [size =\"37831680\"]\n  29 [size=\"48562176\", alpha=\"0.18\", expect_size=\"24281088\"] \n  29 -> 30 [size =\"24281088\"]\n  30 [size=\"20043776\", alpha=\"0.03\", expect_size=\"10021888\"] \n  30 -> 31 [size =\"10021888\"]\n  31 [size=\"39880704\", alpha=\"0.20\", expect_size=\"19940352\"] \n  31 -> 32 [size =\"19940352\"]\n  32 [size=\"58241024\", alpha=\"0.02\", expect_size=\"29120512\"] \n  32 -> 33 [size =\"29120512\"]\n  33 [size=\"93329408\", alpha=\"0.03\", expect_size=\"46664704\"] \n  33 -> 34 [size =\"46664704\"]\n  34 [size=\"92360704\", alpha=\"0.08\", expect_size=\"46180352\"] \n  34 -> 35 [size =\"46180352\"]\n  35 [size=\"33134592\", alpha=\"0.06\", expect_size=\"16567296\"] \n  35 -> 36 [size =\"16567296\"]\n  36 [size=\"53309440\", alpha=\"0.17\", expect_size=\"26654720\"] \n  36 -> 37 [size =\"26654720\"]\n  37 [size=\"62629888\", alpha=\"0.03\", expect_size=\"31314944\"] \n  37 -> 38 [size =\"31314944\"]\n  38 [size=\"68055040\", alpha=\"0.10\", expect_size=\"34027520\"] \n  38 -> 39 [size =\"34027520\"]\n  39 [size=\"100487168\", alpha=\"0.02\", expect_size=\"50243584\"] \n  39 -> 40 [size =\"50243584\"]\n  40 [size=\"90859520\", alpha=\"0.15\", expect_size=\"45429760\"] \n  40 -> 41 [size =\"45429760\"]\n  41 [size=\"11663360\", alpha=\"0.18\", expect_size=\"5831680\"] \n  41 -> 42 [size =\"5831680\"]\n  42 [size=\"103716864\", alpha=\"0.14\", expect_size=\"51858432\"] \n  42 -> 43 [size =\"51858432\"]\n  43 [size=\"18933760\", alpha=\"0.18\", expect_size=\"9466880\"] \n  43 -> 44 [size =\"9466880\"]\n  44 [size=\"32651264\", alpha=\"0.13\", expect_size=\"16325632\"] \n  44 -> 45 [size =\"16325632\"]\n  45 [size=\"70645760\", alpha=\"0.05\", expect_size=\"35322880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43965440\", alpha=\"0.13\", expect_size=\"17586176\"] \n  1 -> 4 [size =\"17586176\"]\n  2 [size=\"122306560\", alpha=\"0.01\", expect_size=\"48922624\"] \n  2 -> 3 [size =\"48922624\"]\n  3 [size=\"98618880\", alpha=\"0.12\", expect_size=\"39447552\"] \n  3 -> 5 [size =\"39447552\"]\n  3 -> 6 [size =\"39447552\"]\n  3 -> 7 [size =\"39447552\"]\n  4 [size=\"58846720\", alpha=\"0.17\", expect_size=\"23538688\"] \n  4 -> 6 [size =\"23538688\"]\n  4 -> 7 [size =\"23538688\"]\n  5 [size=\"16089600\", alpha=\"0.05\", expect_size=\"6435840\"] \n  5 -> 8 [size =\"6435840\"]\n  5 -> 9 [size =\"6435840\"]\n  5 -> 10 [size =\"6435840\"]\n  6 [size=\"117268480\", alpha=\"0.06\", expect_size=\"46907392\"] \n  6 -> 8 [size =\"46907392\"]\n  6 -> 9 [size =\"46907392\"]\n  7 [size=\"34565120\", alpha=\"0.06\", expect_size=\"13826048\"] \n  7 -> 8 [size =\"13826048\"]\n  7 -> 9 [size =\"13826048\"]\n  8 [size=\"116405760\", alpha=\"0.11\", expect_size=\"46562304\"] \n  8 -> 11 [size =\"46562304\"]\n  8 -> 12 [size =\"46562304\"]\n  9 [size=\"122216960\", alpha=\"0.05\", expect_size=\"48886784\"] \n  9 -> 11 [size =\"48886784\"]\n  10 [size=\"109946880\", alpha=\"0.18\", expect_size=\"43978752\"] \n  10 -> 11 [size =\"43978752\"]\n  11 [size=\"13145600\", alpha=\"0.18\", expect_size=\"5258240\"] \n  11 -> 13 [size =\"5258240\"]\n  11 -> 14 [size =\"5258240\"]\n  12 [size=\"92019200\", alpha=\"0.08\", expect_size=\"36807680\"] \n  12 -> 13 [size =\"36807680\"]\n  12 -> 14 [size =\"36807680\"]\n  13 [size=\"95206400\", alpha=\"0.08\", expect_size=\"38082560\"] \n  13 -> 15 [size =\"38082560\"]\n  13 -> 16 [size =\"38082560\"]\n  14 [size=\"46013440\", alpha=\"0.14\", expect_size=\"18405376\"] \n  14 -> 15 [size =\"18405376\"]\n  14 -> 16 [size =\"18405376\"]\n  15 [size=\"30840320\", alpha=\"0.10\", expect_size=\"12336128\"] \n  15 -> 17 [size =\"12336128\"]\n  15 -> 19 [size =\"12336128\"]\n  16 [size=\"62727680\", alpha=\"0.00\", expect_size=\"25091072\"] \n  16 -> 17 [size =\"25091072\"]\n  16 -> 18 [size =\"25091072\"]\n  16 -> 19 [size =\"25091072\"]\n  17 [size=\"100247040\", alpha=\"0.11\", expect_size=\"40098816\"] \n  17 -> 20 [size =\"40098816\"]\n  17 -> 22 [size =\"40098816\"]\n  17 -> 22 [size =\"40098816\"]\n  18 [size=\"18552320\", alpha=\"0.00\", expect_size=\"7420928\"] \n  18 -> 20 [size =\"7420928\"]\n  18 -> 21 [size =\"7420928\"]\n  19 [size=\"85964800\", alpha=\"0.09\", expect_size=\"34385920\"] \n  19 -> 21 [size =\"34385920\"]\n  19 -> 21 [size =\"34385920\"]\n  19 -> 22 [size =\"34385920\"]\n  20 [size=\"115256320\", alpha=\"0.02\", expect_size=\"46102528\"] \n  20 -> 23 [size =\"46102528\"]\n  20 -> 24 [size =\"46102528\"]\n  20 -> 25 [size =\"46102528\"]\n  21 [size=\"102955520\", alpha=\"0.01\", expect_size=\"41182208\"] \n  21 -> 23 [size =\"41182208\"]\n  21 -> 25 [size =\"41182208\"]\n  22 [size=\"91161600\", alpha=\"0.18\", expect_size=\"36464640\"] \n  22 -> 23 [size =\"36464640\"]\n  22 -> 25 [size =\"36464640\"]\n  23 [size=\"18972160\", alpha=\"0.10\", expect_size=\"7588864\"] \n  23 -> 26 [size =\"7588864\"]\n  23 -> 27 [size =\"7588864\"]\n  24 [size=\"65331200\", alpha=\"0.09\", expect_size=\"26132480\"] \n  24 -> 26 [size =\"26132480\"]\n  24 -> 27 [size =\"26132480\"]\n  25 [size=\"30597120\", alpha=\"0.09\", expect_size=\"12238848\"] \n  25 -> 26 [size =\"12238848\"]\n  25 -> 27 [size =\"12238848\"]\n  26 [size=\"90844160\", alpha=\"0.06\", expect_size=\"36337664\"] \n  27 [size=\"93363200\", alpha=\"0.07\", expect_size=\"37345280\"] \n  27 -> 28 [size =\"37345280\"]\n  27 -> 29 [size =\"37345280\"]\n  28 [size=\"39790080\", alpha=\"0.06\", expect_size=\"15916032\"] \n  28 -> 30 [size =\"15916032\"]\n  28 -> 31 [size =\"15916032\"]\n  28 -> 32 [size =\"15916032\"]\n  29 [size=\"41553920\", alpha=\"0.03\", expect_size=\"16621568\"] \n  29 -> 30 [size =\"16621568\"]\n  29 -> 31 [size =\"16621568\"]\n  29 -> 32 [size =\"16621568\"]\n  30 [size=\"94254080\", alpha=\"0.17\", expect_size=\"37701632\"] \n  30 -> 33 [size =\"37701632\"]\n  30 -> 34 [size =\"37701632\"]\n  30 -> 35 [size =\"37701632\"]\n  31 [size=\"107701760\", alpha=\"0.10\", expect_size=\"43080704\"] \n  31 -> 33 [size =\"43080704\"]\n  31 -> 34 [size =\"43080704\"]\n  32 [size=\"112757760\", alpha=\"0.17\", expect_size=\"45103104\"] \n  32 -> 33 [size =\"45103104\"]\n  32 -> 35 [size =\"45103104\"]\n  33 [size=\"100659200\", alpha=\"0.18\", expect_size=\"40263680\"] \n  33 -> 36 [size =\"40263680\"]\n  33 -> 37 [size =\"40263680\"]\n  33 -> 38 [size =\"40263680\"]\n  34 [size=\"38955520\", alpha=\"0.05\", expect_size=\"15582208\"] \n  34 -> 36 [size =\"15582208\"]\n  34 -> 38 [size =\"15582208\"]\n  35 [size=\"91351040\", alpha=\"0.14\", expect_size=\"36540416\"] \n  35 -> 36 [size =\"36540416\"]\n  35 -> 37 [size =\"36540416\"]\n  36 [size=\"24898560\", alpha=\"0.12\", expect_size=\"9959424\"] \n  36 -> 40 [size =\"9959424\"]\n  37 [size=\"61729280\", alpha=\"0.05\", expect_size=\"24691712\"] \n  37 -> 39 [size =\"24691712\"]\n  38 [size=\"105331200\", alpha=\"0.18\", expect_size=\"42132480\"] \n  38 -> 39 [size =\"42132480\"]\n  39 [size=\"23075840\", alpha=\"0.04\", expect_size=\"9230336\"] \n  39 -> 41 [size =\"9230336\"]\n  39 -> 42 [size =\"9230336\"]\n  39 -> 43 [size =\"9230336\"]\n  40 [size=\"42040320\", alpha=\"0.07\", expect_size=\"16816128\"] \n  40 -> 42 [size =\"16816128\"]\n  40 -> 43 [size =\"16816128\"]\n  41 [size=\"23132160\", alpha=\"0.06\", expect_size=\"9252864\"] \n  41 -> 44 [size =\"9252864\"]\n  41 -> 45 [size =\"9252864\"]\n  42 [size=\"84359680\", alpha=\"0.18\", expect_size=\"33743872\"] \n  42 -> 44 [size =\"33743872\"]\n  42 -> 45 [size =\"33743872\"]\n  43 [size=\"68702720\", alpha=\"0.10\", expect_size=\"27481088\"] \n  43 -> 44 [size =\"27481088\"]\n  43 -> 45 [size =\"27481088\"]\n  44 [size=\"58260480\", alpha=\"0.12\", expect_size=\"23304192\"] \n  45 [size=\"85946880\", alpha=\"0.16\", expect_size=\"34378752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78853120\", alpha=\"0.07\", expect_size=\"31541248\"] \n  1 -> 2 [size =\"31541248\"]\n  2 [size=\"45032960\", alpha=\"0.13\", expect_size=\"18013184\"] \n  2 -> 3 [size =\"18013184\"]\n  3 [size=\"23741440\", alpha=\"0.11\", expect_size=\"9496576\"] \n  3 -> 4 [size =\"9496576\"]\n  4 [size=\"115328000\", alpha=\"0.01\", expect_size=\"46131200\"] \n  4 -> 5 [size =\"46131200\"]\n  5 [size=\"57620480\", alpha=\"0.11\", expect_size=\"23048192\"] \n  5 -> 6 [size =\"23048192\"]\n  6 [size=\"117652480\", alpha=\"0.16\", expect_size=\"47060992\"] \n  6 -> 7 [size =\"47060992\"]\n  7 [size=\"86489600\", alpha=\"0.07\", expect_size=\"34595840\"] \n  7 -> 8 [size =\"34595840\"]\n  8 [size=\"104668160\", alpha=\"0.14\", expect_size=\"41867264\"] \n  8 -> 9 [size =\"41867264\"]\n  9 [size=\"73602560\", alpha=\"0.02\", expect_size=\"29441024\"] \n  9 -> 10 [size =\"29441024\"]\n  10 [size=\"17402880\", alpha=\"0.07\", expect_size=\"6961152\"] \n  10 -> 11 [size =\"6961152\"]\n  11 [size=\"112844800\", alpha=\"0.14\", expect_size=\"45137920\"] \n  11 -> 12 [size =\"45137920\"]\n  12 [size=\"33364480\", alpha=\"0.05\", expect_size=\"13345792\"] \n  12 -> 13 [size =\"13345792\"]\n  13 [size=\"111518720\", alpha=\"0.07\", expect_size=\"44607488\"] \n  13 -> 14 [size =\"44607488\"]\n  14 [size=\"60403200\", alpha=\"0.02\", expect_size=\"24161280\"] \n  14 -> 15 [size =\"24161280\"]\n  15 [size=\"65538560\", alpha=\"0.14\", expect_size=\"26215424\"] \n  15 -> 16 [size =\"26215424\"]\n  16 [size=\"13360640\", alpha=\"0.01\", expect_size=\"5344256\"] \n  16 -> 17 [size =\"5344256\"]\n  17 [size=\"105986560\", alpha=\"0.03\", expect_size=\"42394624\"] \n  17 -> 18 [size =\"42394624\"]\n  18 [size=\"30865920\", alpha=\"0.15\", expect_size=\"12346368\"] \n  18 -> 19 [size =\"12346368\"]\n  19 [size=\"111411200\", alpha=\"0.03\", expect_size=\"44564480\"] \n  19 -> 20 [size =\"44564480\"]\n  20 [size=\"125946880\", alpha=\"0.14\", expect_size=\"50378752\"] \n  20 -> 21 [size =\"50378752\"]\n  21 [size=\"47738880\", alpha=\"0.16\", expect_size=\"19095552\"] \n  21 -> 22 [size =\"19095552\"]\n  22 [size=\"14144000\", alpha=\"0.04\", expect_size=\"5657600\"] \n  22 -> 23 [size =\"5657600\"]\n  23 [size=\"43955200\", alpha=\"0.14\", expect_size=\"17582080\"] \n  23 -> 24 [size =\"17582080\"]\n  24 [size=\"83791360\", alpha=\"0.01\", expect_size=\"33516544\"] \n  24 -> 25 [size =\"33516544\"]\n  25 [size=\"98209280\", alpha=\"0.15\", expect_size=\"39283712\"] \n  25 -> 26 [size =\"39283712\"]\n  26 [size=\"63216640\", alpha=\"0.07\", expect_size=\"25286656\"] \n  26 -> 27 [size =\"25286656\"]\n  27 [size=\"70581760\", alpha=\"0.12\", expect_size=\"28232704\"] \n  27 -> 28 [size =\"28232704\"]\n  28 [size=\"90091520\", alpha=\"0.12\", expect_size=\"36036608\"] \n  28 -> 29 [size =\"36036608\"]\n  29 [size=\"61312000\", alpha=\"0.02\", expect_size=\"24524800\"] \n  29 -> 30 [size =\"24524800\"]\n  30 [size=\"78167040\", alpha=\"0.14\", expect_size=\"31266816\"] \n  30 -> 31 [size =\"31266816\"]\n  31 [size=\"43153920\", alpha=\"0.02\", expect_size=\"17261568\"] \n  31 -> 32 [size =\"17261568\"]\n  32 [size=\"22013440\", alpha=\"0.13\", expect_size=\"8805376\"] \n  32 -> 33 [size =\"8805376\"]\n  33 [size=\"46676480\", alpha=\"0.01\", expect_size=\"18670592\"] \n  33 -> 34 [size =\"18670592\"]\n  34 [size=\"127777280\", alpha=\"0.17\", expect_size=\"51110912\"] \n  34 -> 35 [size =\"51110912\"]\n  35 [size=\"13642240\", alpha=\"0.02\", expect_size=\"5456896\"] \n  35 -> 36 [size =\"5456896\"]\n  36 [size=\"102681600\", alpha=\"0.08\", expect_size=\"41072640\"] \n  36 -> 37 [size =\"41072640\"]\n  37 [size=\"27581440\", alpha=\"0.08\", expect_size=\"11032576\"] \n  37 -> 38 [size =\"11032576\"]\n  38 [size=\"97653760\", alpha=\"0.12\", expect_size=\"39061504\"] \n  38 -> 39 [size =\"39061504\"]\n  39 [size=\"50572800\", alpha=\"0.13\", expect_size=\"20229120\"] \n  39 -> 40 [size =\"20229120\"]\n  40 [size=\"64793600\", alpha=\"0.12\", expect_size=\"25917440\"] \n  40 -> 41 [size =\"25917440\"]\n  41 [size=\"26652160\", alpha=\"0.18\", expect_size=\"10660864\"] \n  41 -> 42 [size =\"10660864\"]\n  42 [size=\"35888640\", alpha=\"0.04\", expect_size=\"14355456\"] \n  42 -> 43 [size =\"14355456\"]\n  43 [size=\"112755200\", alpha=\"0.15\", expect_size=\"45102080\"] \n  43 -> 44 [size =\"45102080\"]\n  44 [size=\"119738880\", alpha=\"0.18\", expect_size=\"47895552\"] \n  44 -> 45 [size =\"47895552\"]\n  45 [size=\"104133120\", alpha=\"0.15\", expect_size=\"41653248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31467520\", alpha=\"0.14\", expect_size=\"15733760\"] \n  1 -> 2 [size =\"15733760\"]\n  2 [size=\"53952512\", alpha=\"0.07\", expect_size=\"26976256\"] \n  2 -> 3 [size =\"26976256\"]\n  3 [size=\"50204672\", alpha=\"0.13\", expect_size=\"25102336\"] \n  3 -> 4 [size =\"25102336\"]\n  4 [size=\"51552256\", alpha=\"0.02\", expect_size=\"25776128\"] \n  4 -> 5 [size =\"25776128\"]\n  5 [size=\"91703296\", alpha=\"0.05\", expect_size=\"45851648\"] \n  5 -> 6 [size =\"45851648\"]\n  6 [size=\"56872960\", alpha=\"0.18\", expect_size=\"28436480\"] \n  6 -> 7 [size =\"28436480\"]\n  7 [size=\"26957824\", alpha=\"0.20\", expect_size=\"13478912\"] \n  7 -> 8 [size =\"13478912\"]\n  8 [size=\"71116800\", alpha=\"0.01\", expect_size=\"35558400\"] \n  8 -> 9 [size =\"35558400\"]\n  9 [size=\"37017600\", alpha=\"0.08\", expect_size=\"18508800\"] \n  9 -> 10 [size =\"18508800\"]\n  10 [size=\"78725120\", alpha=\"0.06\", expect_size=\"39362560\"] \n  10 -> 11 [size =\"39362560\"]\n  11 [size=\"62451712\", alpha=\"0.16\", expect_size=\"31225856\"] \n  11 -> 12 [size =\"31225856\"]\n  12 [size=\"34461696\", alpha=\"0.06\", expect_size=\"17230848\"] \n  12 -> 13 [size =\"17230848\"]\n  13 [size=\"68194304\", alpha=\"0.09\", expect_size=\"34097152\"] \n  13 -> 14 [size =\"34097152\"]\n  14 [size=\"36059136\", alpha=\"0.16\", expect_size=\"18029568\"] \n  14 -> 15 [size =\"18029568\"]\n  15 [size=\"44072960\", alpha=\"0.05\", expect_size=\"22036480\"] \n  15 -> 16 [size =\"22036480\"]\n  16 [size=\"69681152\", alpha=\"0.15\", expect_size=\"34840576\"] \n  16 -> 17 [size =\"34840576\"]\n  17 [size=\"58765312\", alpha=\"0.15\", expect_size=\"29382656\"] \n  17 -> 18 [size =\"29382656\"]\n  18 [size=\"57233408\", alpha=\"0.01\", expect_size=\"28616704\"] \n  18 -> 19 [size =\"28616704\"]\n  19 [size=\"61163520\", alpha=\"0.10\", expect_size=\"30581760\"] \n  19 -> 20 [size =\"30581760\"]\n  20 [size=\"97357824\", alpha=\"0.06\", expect_size=\"48678912\"] \n  20 -> 21 [size =\"48678912\"]\n  21 [size=\"30738432\", alpha=\"0.06\", expect_size=\"15369216\"] \n  21 -> 22 [size =\"15369216\"]\n  22 [size=\"104308736\", alpha=\"0.16\", expect_size=\"52154368\"] \n  22 -> 23 [size =\"52154368\"]\n  23 [size=\"38328320\", alpha=\"0.14\", expect_size=\"19164160\"] \n  23 -> 24 [size =\"19164160\"]\n  24 [size=\"82337792\", alpha=\"0.01\", expect_size=\"41168896\"] \n  24 -> 25 [size =\"41168896\"]\n  25 [size=\"61310976\", alpha=\"0.05\", expect_size=\"30655488\"] \n  25 -> 26 [size =\"30655488\"]\n  26 [size=\"85876736\", alpha=\"0.19\", expect_size=\"42938368\"] \n  26 -> 27 [size =\"42938368\"]\n  27 [size=\"60942336\", alpha=\"0.16\", expect_size=\"30471168\"] \n  27 -> 28 [size =\"30471168\"]\n  28 [size=\"39469056\", alpha=\"0.06\", expect_size=\"19734528\"] \n  28 -> 29 [size =\"19734528\"]\n  29 [size=\"44484608\", alpha=\"0.02\", expect_size=\"22242304\"] \n  29 -> 30 [size =\"22242304\"]\n  30 [size=\"91150336\", alpha=\"0.12\", expect_size=\"45575168\"] \n  30 -> 31 [size =\"45575168\"]\n  31 [size=\"24553472\", alpha=\"0.13\", expect_size=\"12276736\"] \n  31 -> 32 [size =\"12276736\"]\n  32 [size=\"54425600\", alpha=\"0.20\", expect_size=\"27212800\"] \n  32 -> 33 [size =\"27212800\"]\n  33 [size=\"35487744\", alpha=\"0.18\", expect_size=\"17743872\"] \n  33 -> 34 [size =\"17743872\"]\n  34 [size=\"101836800\", alpha=\"0.02\", expect_size=\"50918400\"] \n  34 -> 35 [size =\"50918400\"]\n  35 [size=\"11419648\", alpha=\"0.13\", expect_size=\"5709824\"] \n  35 -> 36 [size =\"5709824\"]\n  36 [size=\"34201600\", alpha=\"0.17\", expect_size=\"17100800\"] \n  36 -> 37 [size =\"17100800\"]\n  37 [size=\"27824128\", alpha=\"0.11\", expect_size=\"13912064\"] \n  37 -> 38 [size =\"13912064\"]\n  38 [size=\"103137280\", alpha=\"0.15\", expect_size=\"51568640\"] \n  38 -> 39 [size =\"51568640\"]\n  39 [size=\"37652480\", alpha=\"0.09\", expect_size=\"18826240\"] \n  39 -> 40 [size =\"18826240\"]\n  40 [size=\"46651392\", alpha=\"0.02\", expect_size=\"23325696\"] \n  40 -> 41 [size =\"23325696\"]\n  41 [size=\"103997440\", alpha=\"0.19\", expect_size=\"51998720\"] \n  41 -> 42 [size =\"51998720\"]\n  42 [size=\"72914944\", alpha=\"0.17\", expect_size=\"36457472\"] \n  42 -> 43 [size =\"36457472\"]\n  43 [size=\"71753728\", alpha=\"0.20\", expect_size=\"35876864\"] \n  43 -> 44 [size =\"35876864\"]\n  44 [size=\"63850496\", alpha=\"0.18\", expect_size=\"31925248\"] \n  44 -> 45 [size =\"31925248\"]\n  45 [size=\"74778624\", alpha=\"0.07\", expect_size=\"37389312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45124267\", alpha=\"0.03\", expect_size=\"13537280\"] \n  1 -> 40 [size =\"13537280\"]\n  1 -> 43 [size =\"13537280\"]\n  1 -> 44 [size =\"13537280\"]\n  2 [size=\"37331627\", alpha=\"0.05\", expect_size=\"11199488\"] \n  2 -> 34 [size =\"11199488\"]\n  2 -> 38 [size =\"11199488\"]\n  2 -> 40 [size =\"11199488\"]\n  2 -> 41 [size =\"11199488\"]\n  2 -> 43 [size =\"11199488\"]\n  2 -> 44 [size =\"11199488\"]\n  3 [size=\"100737707\", alpha=\"0.06\", expect_size=\"30221312\"] \n  3 -> 35 [size =\"30221312\"]\n  3 -> 40 [size =\"30221312\"]\n  3 -> 41 [size =\"30221312\"]\n  3 -> 41 [size =\"30221312\"]\n  3 -> 43 [size =\"30221312\"]\n  4 [size=\"99822933\", alpha=\"0.20\", expect_size=\"29946880\"] \n  4 -> 34 [size =\"29946880\"]\n  4 -> 36 [size =\"29946880\"]\n  4 -> 40 [size =\"29946880\"]\n  4 -> 41 [size =\"29946880\"]\n  4 -> 43 [size =\"29946880\"]\n  5 [size=\"150981973\", alpha=\"0.05\", expect_size=\"45294592\"] \n  5 -> 36 [size =\"45294592\"]\n  5 -> 36 [size =\"45294592\"]\n  5 -> 38 [size =\"45294592\"]\n  5 -> 40 [size =\"45294592\"]\n  5 -> 41 [size =\"45294592\"]\n  5 -> 43 [size =\"45294592\"]\n  6 [size=\"138356053\", alpha=\"0.20\", expect_size=\"41506816\"] \n  6 -> 34 [size =\"41506816\"]\n  6 -> 35 [size =\"41506816\"]\n  6 -> 36 [size =\"41506816\"]\n  6 -> 39 [size =\"41506816\"]\n  6 -> 42 [size =\"41506816\"]\n  6 -> 43 [size =\"41506816\"]\n  6 -> 44 [size =\"41506816\"]\n  6 -> 45 [size =\"41506816\"]\n  7 [size=\"112902827\", alpha=\"0.14\", expect_size=\"33870848\"] \n  7 -> 35 [size =\"33870848\"]\n  7 -> 36 [size =\"33870848\"]\n  7 -> 39 [size =\"33870848\"]\n  7 -> 40 [size =\"33870848\"]\n  7 -> 43 [size =\"33870848\"]\n  7 -> 43 [size =\"33870848\"]\n  8 [size=\"136717653\", alpha=\"0.18\", expect_size=\"41015296\"] \n  8 -> 35 [size =\"41015296\"]\n  8 -> 40 [size =\"41015296\"]\n  8 -> 43 [size =\"41015296\"]\n  9 [size=\"71976960\", alpha=\"0.18\", expect_size=\"21593088\"] \n  9 -> 33 [size =\"21593088\"]\n  9 -> 36 [size =\"21593088\"]\n  9 -> 37 [size =\"21593088\"]\n  9 -> 40 [size =\"21593088\"]\n  9 -> 41 [size =\"21593088\"]\n  9 -> 42 [size =\"21593088\"]\n  9 -> 43 [size =\"21593088\"]\n  10 [size=\"137028267\", alpha=\"0.11\", expect_size=\"41108480\"] \n  10 -> 35 [size =\"41108480\"]\n  10 -> 36 [size =\"41108480\"]\n  10 -> 39 [size =\"41108480\"]\n  10 -> 40 [size =\"41108480\"]\n  10 -> 41 [size =\"41108480\"]\n  10 -> 43 [size =\"41108480\"]\n  10 -> 43 [size =\"41108480\"]\n  10 -> 44 [size =\"41108480\"]\n  11 [size=\"117879467\", alpha=\"0.13\", expect_size=\"35363840\"] \n  11 -> 34 [size =\"35363840\"]\n  11 -> 36 [size =\"35363840\"]\n  11 -> 40 [size =\"35363840\"]\n  11 -> 41 [size =\"35363840\"]\n  11 -> 41 [size =\"35363840\"]\n  11 -> 43 [size =\"35363840\"]\n  12 [size=\"141970773\", alpha=\"0.07\", expect_size=\"42591232\"] \n  12 -> 34 [size =\"42591232\"]\n  12 -> 35 [size =\"42591232\"]\n  12 -> 36 [size =\"42591232\"]\n  12 -> 40 [size =\"42591232\"]\n  12 -> 42 [size =\"42591232\"]\n  12 -> 43 [size =\"42591232\"]\n  12 -> 44 [size =\"42591232\"]\n  13 [size=\"25767253\", alpha=\"0.06\", expect_size=\"7730176\"] \n  13 -> 33 [size =\"7730176\"]\n  13 -> 34 [size =\"7730176\"]\n  13 -> 36 [size =\"7730176\"]\n  13 -> 39 [size =\"7730176\"]\n  13 -> 40 [size =\"7730176\"]\n  13 -> 42 [size =\"7730176\"]\n  13 -> 43 [size =\"7730176\"]\n  13 -> 44 [size =\"7730176\"]\n  14 [size=\"76571307\", alpha=\"0.03\", expect_size=\"22971392\"] \n  14 -> 33 [size =\"22971392\"]\n  14 -> 39 [size =\"22971392\"]\n  14 -> 40 [size =\"22971392\"]\n  14 -> 41 [size =\"22971392\"]\n  14 -> 42 [size =\"22971392\"]\n  14 -> 43 [size =\"22971392\"]\n  14 -> 43 [size =\"22971392\"]\n  14 -> 45 [size =\"22971392\"]\n  15 [size=\"75069440\", alpha=\"0.03\", expect_size=\"22520832\"] \n  15 -> 35 [size =\"22520832\"]\n  15 -> 39 [size =\"22520832\"]\n  15 -> 40 [size =\"22520832\"]\n  15 -> 41 [size =\"22520832\"]\n  15 -> 43 [size =\"22520832\"]\n  15 -> 43 [size =\"22520832\"]\n  15 -> 45 [size =\"22520832\"]\n  16 [size=\"112991573\", alpha=\"0.12\", expect_size=\"33897472\"] \n  16 -> 35 [size =\"33897472\"]\n  16 -> 36 [size =\"33897472\"]\n  16 -> 39 [size =\"33897472\"]\n  16 -> 42 [size =\"33897472\"]\n  16 -> 43 [size =\"33897472\"]\n  17 [size=\"109953707\", alpha=\"0.17\", expect_size=\"32986112\"] \n  17 -> 36 [size =\"32986112\"]\n  17 -> 40 [size =\"32986112\"]\n  17 -> 41 [size =\"32986112\"]\n  17 -> 42 [size =\"32986112\"]\n  17 -> 43 [size =\"32986112\"]\n  17 -> 45 [size =\"32986112\"]\n  18 [size=\"64648533\", alpha=\"0.20\", expect_size=\"19394560\"] \n  18 -> 34 [size =\"19394560\"]\n  18 -> 35 [size =\"19394560\"]\n  18 -> 36 [size =\"19394560\"]\n  18 -> 37 [size =\"19394560\"]\n  18 -> 41 [size =\"19394560\"]\n  18 -> 42 [size =\"19394560\"]\n  18 -> 43 [size =\"19394560\"]\n  19 [size=\"47339520\", alpha=\"0.11\", expect_size=\"14201856\"] \n  19 -> 34 [size =\"14201856\"]\n  19 -> 36 [size =\"14201856\"]\n  19 -> 38 [size =\"14201856\"]\n  19 -> 42 [size =\"14201856\"]\n  19 -> 44 [size =\"14201856\"]\n  20 [size=\"28375040\", alpha=\"0.16\", expect_size=\"8512512\"] \n  20 -> 36 [size =\"8512512\"]\n  20 -> 37 [size =\"8512512\"]\n  20 -> 40 [size =\"8512512\"]\n  21 [size=\"110998187\", alpha=\"0.04\", expect_size=\"33299456\"] \n  21 -> 33 [size =\"33299456\"]\n  21 -> 34 [size =\"33299456\"]\n  21 -> 36 [size =\"33299456\"]\n  21 -> 40 [size =\"33299456\"]\n  21 -> 41 [size =\"33299456\"]\n  21 -> 43 [size =\"33299456\"]\n  21 -> 45 [size =\"33299456\"]\n  22 [size=\"56739840\", alpha=\"0.15\", expect_size=\"17021952\"] \n  22 -> 34 [size =\"17021952\"]\n  22 -> 36 [size =\"17021952\"]\n  22 -> 40 [size =\"17021952\"]\n  22 -> 41 [size =\"17021952\"]\n  22 -> 42 [size =\"17021952\"]\n  22 -> 43 [size =\"17021952\"]\n  22 -> 45 [size =\"17021952\"]\n  23 [size=\"110114133\", alpha=\"0.16\", expect_size=\"33034240\"] \n  23 -> 37 [size =\"33034240\"]\n  23 -> 40 [size =\"33034240\"]\n  23 -> 40 [size =\"33034240\"]\n  23 -> 42 [size =\"33034240\"]\n  24 [size=\"156869973\", alpha=\"0.08\", expect_size=\"47060992\"] \n  24 -> 35 [size =\"47060992\"]\n  24 -> 39 [size =\"47060992\"]\n  24 -> 40 [size =\"47060992\"]\n  24 -> 41 [size =\"47060992\"]\n  24 -> 44 [size =\"47060992\"]\n  25 [size=\"26965333\", alpha=\"0.17\", expect_size=\"8089600\"] \n  25 -> 33 [size =\"8089600\"]\n  25 -> 36 [size =\"8089600\"]\n  25 -> 39 [size =\"8089600\"]\n  25 -> 40 [size =\"8089600\"]\n  26 [size=\"54469973\", alpha=\"0.01\", expect_size=\"16340992\"] \n  26 -> 34 [size =\"16340992\"]\n  26 -> 40 [size =\"16340992\"]\n  26 -> 41 [size =\"16340992\"]\n  26 -> 42 [size =\"16340992\"]\n  27 [size=\"149606400\", alpha=\"0.18\", expect_size=\"44881920\"] \n  27 -> 37 [size =\"44881920\"]\n  27 -> 40 [size =\"44881920\"]\n  27 -> 41 [size =\"44881920\"]\n  27 -> 42 [size =\"44881920\"]\n  27 -> 43 [size =\"44881920\"]\n  27 -> 44 [size =\"44881920\"]\n  28 [size=\"128648533\", alpha=\"0.09\", expect_size=\"38594560\"] \n  28 -> 35 [size =\"38594560\"]\n  28 -> 36 [size =\"38594560\"]\n  28 -> 41 [size =\"38594560\"]\n  28 -> 42 [size =\"38594560\"]\n  28 -> 43 [size =\"38594560\"]\n  28 -> 44 [size =\"38594560\"]\n  29 [size=\"125808640\", alpha=\"0.08\", expect_size=\"37742592\"] \n  29 -> 35 [size =\"37742592\"]\n  29 -> 38 [size =\"37742592\"]\n  29 -> 40 [size =\"37742592\"]\n  29 -> 41 [size =\"37742592\"]\n  29 -> 42 [size =\"37742592\"]\n  29 -> 43 [size =\"37742592\"]\n  29 -> 44 [size =\"37742592\"]\n  30 [size=\"56193707\", alpha=\"0.01\", expect_size=\"16858112\"] \n  30 -> 35 [size =\"16858112\"]\n  30 -> 37 [size =\"16858112\"]\n  30 -> 39 [size =\"16858112\"]\n  30 -> 40 [size =\"16858112\"]\n  30 -> 42 [size =\"16858112\"]\n  31 [size=\"24064000\", alpha=\"0.08\", expect_size=\"7219200\"] \n  31 -> 35 [size =\"7219200\"]\n  31 -> 36 [size =\"7219200\"]\n  31 -> 41 [size =\"7219200\"]\n  31 -> 42 [size =\"7219200\"]\n  31 -> 43 [size =\"7219200\"]\n  32 [size=\"57064107\", alpha=\"0.10\", expect_size=\"17119232\"] \n  32 -> 33 [size =\"17119232\"]\n  32 -> 39 [size =\"17119232\"]\n  32 -> 42 [size =\"17119232\"]\n  32 -> 43 [size =\"17119232\"]\n  33 [size=\"17766400\", alpha=\"0.13\", expect_size=\"5329920\"] \n  34 [size=\"146722133\", alpha=\"0.04\", expect_size=\"44016640\"] \n  35 [size=\"54415360\", alpha=\"0.02\", expect_size=\"16324608\"] \n  36 [size=\"31638187\", alpha=\"0.12\", expect_size=\"9491456\"] \n  37 [size=\"41994240\", alpha=\"0.14\", expect_size=\"12598272\"] \n  38 [size=\"23616853\", alpha=\"0.02\", expect_size=\"7085056\"] \n  39 [size=\"95754240\", alpha=\"0.14\", expect_size=\"28726272\"] \n  40 [size=\"155624107\", alpha=\"0.08\", expect_size=\"46687232\"] \n  41 [size=\"165488640\", alpha=\"0.13\", expect_size=\"49646592\"] \n  42 [size=\"68468053\", alpha=\"0.03\", expect_size=\"20540416\"] \n  43 [size=\"146350080\", alpha=\"0.05\", expect_size=\"43905024\"] \n  44 [size=\"92849493\", alpha=\"0.04\", expect_size=\"27854848\"] \n  45 [size=\"124347733\", alpha=\"0.05\", expect_size=\"37304320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50132480\", alpha=\"0.15\", expect_size=\"20052992\"] \n  1 -> 3 [size =\"20052992\"]\n  1 -> 4 [size =\"20052992\"]\n  2 [size=\"56509440\", alpha=\"0.10\", expect_size=\"22603776\"] \n  2 -> 4 [size =\"22603776\"]\n  2 -> 5 [size =\"22603776\"]\n  3 [size=\"80611840\", alpha=\"0.05\", expect_size=\"32244736\"] \n  3 -> 6 [size =\"32244736\"]\n  3 -> 8 [size =\"32244736\"]\n  4 [size=\"67942400\", alpha=\"0.08\", expect_size=\"27176960\"] \n  4 -> 8 [size =\"27176960\"]\n  5 [size=\"127472640\", alpha=\"0.02\", expect_size=\"50989056\"] \n  5 -> 6 [size =\"50989056\"]\n  5 -> 7 [size =\"50989056\"]\n  6 [size=\"101775360\", alpha=\"0.02\", expect_size=\"40710144\"] \n  7 [size=\"50979840\", alpha=\"0.10\", expect_size=\"20391936\"] \n  7 -> 9 [size =\"20391936\"]\n  7 -> 11 [size =\"20391936\"]\n  8 [size=\"67776000\", alpha=\"0.06\", expect_size=\"27110400\"] \n  8 -> 10 [size =\"27110400\"]\n  9 [size=\"50083840\", alpha=\"0.18\", expect_size=\"20033536\"] \n  9 -> 12 [size =\"20033536\"]\n  10 [size=\"89656320\", alpha=\"0.10\", expect_size=\"35862528\"] \n  11 [size=\"125204480\", alpha=\"0.06\", expect_size=\"50081792\"] \n  11 -> 12 [size =\"50081792\"]\n  11 -> 13 [size =\"50081792\"]\n  12 [size=\"96501760\", alpha=\"0.09\", expect_size=\"38600704\"] \n  12 -> 16 [size =\"38600704\"]\n  13 [size=\"38305280\", alpha=\"0.16\", expect_size=\"15322112\"] \n  13 -> 14 [size =\"15322112\"]\n  13 -> 15 [size =\"15322112\"]\n  13 -> 16 [size =\"15322112\"]\n  14 [size=\"70566400\", alpha=\"0.17\", expect_size=\"28226560\"] \n  14 -> 17 [size =\"28226560\"]\n  14 -> 18 [size =\"28226560\"]\n  15 [size=\"117329920\", alpha=\"0.05\", expect_size=\"46931968\"] \n  15 -> 19 [size =\"46931968\"]\n  16 [size=\"129367040\", alpha=\"0.09\", expect_size=\"51746816\"] \n  16 -> 18 [size =\"51746816\"]\n  16 -> 19 [size =\"51746816\"]\n  17 [size=\"26083840\", alpha=\"0.11\", expect_size=\"10433536\"] \n  17 -> 21 [size =\"10433536\"]\n  18 [size=\"82327040\", alpha=\"0.16\", expect_size=\"32930816\"] \n  18 -> 20 [size =\"32930816\"]\n  18 -> 21 [size =\"32930816\"]\n  19 [size=\"120035840\", alpha=\"0.03\", expect_size=\"48014336\"] \n  20 [size=\"109923840\", alpha=\"0.20\", expect_size=\"43969536\"] \n  20 -> 22 [size =\"43969536\"]\n  20 -> 23 [size =\"43969536\"]\n  21 [size=\"53166080\", alpha=\"0.02\", expect_size=\"21266432\"] \n  21 -> 22 [size =\"21266432\"]\n  21 -> 23 [size =\"21266432\"]\n  22 [size=\"91261440\", alpha=\"0.12\", expect_size=\"36504576\"] \n  22 -> 24 [size =\"36504576\"]\n  23 [size=\"25144320\", alpha=\"0.14\", expect_size=\"10057728\"] \n  23 -> 25 [size =\"10057728\"]\n  24 [size=\"117885440\", alpha=\"0.04\", expect_size=\"47154176\"] \n  24 -> 26 [size =\"47154176\"]\n  24 -> 27 [size =\"47154176\"]\n  24 -> 28 [size =\"47154176\"]\n  25 [size=\"99909120\", alpha=\"0.14\", expect_size=\"39963648\"] \n  25 -> 26 [size =\"39963648\"]\n  25 -> 27 [size =\"39963648\"]\n  26 [size=\"13818880\", alpha=\"0.19\", expect_size=\"5527552\"] \n  26 -> 30 [size =\"5527552\"]\n  26 -> 31 [size =\"5527552\"]\n  27 [size=\"68203520\", alpha=\"0.11\", expect_size=\"27281408\"] \n  27 -> 29 [size =\"27281408\"]\n  28 [size=\"15859200\", alpha=\"0.12\", expect_size=\"6343680\"] \n  28 -> 30 [size =\"6343680\"]\n  29 [size=\"107463680\", alpha=\"0.19\", expect_size=\"42985472\"] \n  29 -> 32 [size =\"42985472\"]\n  30 [size=\"127966720\", alpha=\"0.19\", expect_size=\"51186688\"] \n  30 -> 33 [size =\"51186688\"]\n  31 [size=\"126620160\", alpha=\"0.18\", expect_size=\"50648064\"] \n  31 -> 32 [size =\"50648064\"]\n  32 [size=\"22479360\", alpha=\"0.11\", expect_size=\"8991744\"] \n  32 -> 34 [size =\"8991744\"]\n  32 -> 35 [size =\"8991744\"]\n  32 -> 36 [size =\"8991744\"]\n  33 [size=\"94883840\", alpha=\"0.09\", expect_size=\"37953536\"] \n  33 -> 35 [size =\"37953536\"]\n  33 -> 36 [size =\"37953536\"]\n  34 [size=\"57441280\", alpha=\"0.16\", expect_size=\"22976512\"] \n  34 -> 37 [size =\"22976512\"]\n  35 [size=\"82954240\", alpha=\"0.01\", expect_size=\"33181696\"] \n  36 [size=\"49858560\", alpha=\"0.05\", expect_size=\"19943424\"] \n  36 -> 37 [size =\"19943424\"]\n  36 -> 38 [size =\"19943424\"]\n  37 [size=\"46827520\", alpha=\"0.12\", expect_size=\"18731008\"] \n  37 -> 39 [size =\"18731008\"]\n  37 -> 40 [size =\"18731008\"]\n  38 [size=\"111731200\", alpha=\"0.10\", expect_size=\"44692480\"] \n  39 [size=\"63313920\", alpha=\"0.07\", expect_size=\"25325568\"] \n  39 -> 43 [size =\"25325568\"]\n  40 [size=\"56519680\", alpha=\"0.00\", expect_size=\"22607872\"] \n  40 -> 41 [size =\"22607872\"]\n  40 -> 42 [size =\"22607872\"]\n  41 [size=\"49930240\", alpha=\"0.00\", expect_size=\"19972096\"] \n  42 [size=\"37683200\", alpha=\"0.13\", expect_size=\"15073280\"] \n  42 -> 44 [size =\"15073280\"]\n  42 -> 45 [size =\"15073280\"]\n  43 [size=\"103175680\", alpha=\"0.08\", expect_size=\"41270272\"] \n  43 -> 44 [size =\"41270272\"]\n  43 -> 45 [size =\"41270272\"]\n  44 [size=\"35676160\", alpha=\"0.01\", expect_size=\"14270464\"] \n  45 [size=\"128576000\", alpha=\"0.09\", expect_size=\"51430400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38287360\", alpha=\"0.03\", expect_size=\"19143680\"] \n  1 -> 8 [size =\"19143680\"]\n  1 -> 9 [size =\"19143680\"]\n  1 -> 10 [size =\"19143680\"]\n  1 -> 11 [size =\"19143680\"]\n  1 -> 12 [size =\"19143680\"]\n  2 [size=\"55734272\", alpha=\"0.06\", expect_size=\"27867136\"] \n  2 -> 8 [size =\"27867136\"]\n  2 -> 11 [size =\"27867136\"]\n  3 [size=\"42209280\", alpha=\"0.06\", expect_size=\"21104640\"] \n  3 -> 8 [size =\"21104640\"]\n  3 -> 9 [size =\"21104640\"]\n  3 -> 10 [size =\"21104640\"]\n  3 -> 11 [size =\"21104640\"]\n  3 -> 12 [size =\"21104640\"]\n  4 [size=\"29274112\", alpha=\"0.08\", expect_size=\"14637056\"] \n  4 -> 8 [size =\"14637056\"]\n  4 -> 9 [size =\"14637056\"]\n  4 -> 10 [size =\"14637056\"]\n  4 -> 11 [size =\"14637056\"]\n  4 -> 12 [size =\"14637056\"]\n  5 [size=\"55246848\", alpha=\"0.15\", expect_size=\"27623424\"] \n  5 -> 8 [size =\"27623424\"]\n  5 -> 10 [size =\"27623424\"]\n  5 -> 11 [size =\"27623424\"]\n  5 -> 11 [size =\"27623424\"]\n  6 [size=\"13144064\", alpha=\"0.14\", expect_size=\"6572032\"] \n  6 -> 7 [size =\"6572032\"]\n  6 -> 8 [size =\"6572032\"]\n  6 -> 9 [size =\"6572032\"]\n  6 -> 10 [size =\"6572032\"]\n  7 [size=\"43610112\", alpha=\"0.10\", expect_size=\"21805056\"] \n  7 -> 15 [size =\"21805056\"]\n  8 [size=\"76042240\", alpha=\"0.01\", expect_size=\"38021120\"] \n  8 -> 14 [size =\"38021120\"]\n  8 -> 16 [size =\"38021120\"]\n  8 -> 17 [size =\"38021120\"]\n  9 [size=\"17987584\", alpha=\"0.19\", expect_size=\"8993792\"] \n  9 -> 15 [size =\"8993792\"]\n  9 -> 17 [size =\"8993792\"]\n  10 [size=\"18726912\", alpha=\"0.08\", expect_size=\"9363456\"] \n  10 -> 14 [size =\"9363456\"]\n  10 -> 17 [size =\"9363456\"]\n  11 [size=\"89454592\", alpha=\"0.05\", expect_size=\"44727296\"] \n  11 -> 14 [size =\"44727296\"]\n  11 -> 15 [size =\"44727296\"]\n  12 [size=\"11046912\", alpha=\"0.19\", expect_size=\"5523456\"] \n  12 -> 13 [size =\"5523456\"]\n  12 -> 17 [size =\"5523456\"]\n  13 [size=\"40601600\", alpha=\"0.08\", expect_size=\"20300800\"] \n  13 -> 18 [size =\"20300800\"]\n  13 -> 19 [size =\"20300800\"]\n  13 -> 20 [size =\"20300800\"]\n  13 -> 21 [size =\"20300800\"]\n  14 [size=\"71129088\", alpha=\"0.01\", expect_size=\"35564544\"] \n  14 -> 22 [size =\"35564544\"]\n  15 [size=\"13940736\", alpha=\"0.11\", expect_size=\"6970368\"] \n  15 -> 18 [size =\"6970368\"]\n  15 -> 20 [size =\"6970368\"]\n  16 [size=\"83820544\", alpha=\"0.07\", expect_size=\"41910272\"] \n  16 -> 18 [size =\"41910272\"]\n  16 -> 20 [size =\"41910272\"]\n  16 -> 22 [size =\"41910272\"]\n  17 [size=\"53952512\", alpha=\"0.12\", expect_size=\"26976256\"] \n  17 -> 18 [size =\"26976256\"]\n  17 -> 20 [size =\"26976256\"]\n  18 [size=\"102412288\", alpha=\"0.09\", expect_size=\"51206144\"] \n  18 -> 23 [size =\"51206144\"]\n  18 -> 25 [size =\"51206144\"]\n  18 -> 26 [size =\"51206144\"]\n  18 -> 27 [size =\"51206144\"]\n  18 -> 28 [size =\"51206144\"]\n  19 [size=\"12216320\", alpha=\"0.13\", expect_size=\"6108160\"] \n  19 -> 23 [size =\"6108160\"]\n  19 -> 24 [size =\"6108160\"]\n  19 -> 26 [size =\"6108160\"]\n  19 -> 28 [size =\"6108160\"]\n  20 [size=\"100333568\", alpha=\"0.01\", expect_size=\"50166784\"] \n  20 -> 24 [size =\"50166784\"]\n  20 -> 26 [size =\"50166784\"]\n  21 [size=\"41375744\", alpha=\"0.14\", expect_size=\"20687872\"] \n  21 -> 25 [size =\"20687872\"]\n  21 -> 26 [size =\"20687872\"]\n  22 [size=\"63684608\", alpha=\"0.17\", expect_size=\"31842304\"] \n  22 -> 25 [size =\"31842304\"]\n  22 -> 26 [size =\"31842304\"]\n  23 [size=\"57475072\", alpha=\"0.06\", expect_size=\"28737536\"] \n  23 -> 31 [size =\"28737536\"]\n  23 -> 33 [size =\"28737536\"]\n  24 [size=\"95406080\", alpha=\"0.19\", expect_size=\"47703040\"] \n  24 -> 29 [size =\"47703040\"]\n  24 -> 32 [size =\"47703040\"]\n  24 -> 33 [size =\"47703040\"]\n  25 [size=\"98246656\", alpha=\"0.02\", expect_size=\"49123328\"] \n  25 -> 29 [size =\"49123328\"]\n  25 -> 30 [size =\"49123328\"]\n  25 -> 31 [size =\"49123328\"]\n  26 [size=\"56084480\", alpha=\"0.06\", expect_size=\"28042240\"] \n  26 -> 29 [size =\"28042240\"]\n  26 -> 30 [size =\"28042240\"]\n  27 [size=\"90060800\", alpha=\"0.16\", expect_size=\"45030400\"] \n  27 -> 29 [size =\"45030400\"]\n  27 -> 30 [size =\"45030400\"]\n  27 -> 33 [size =\"45030400\"]\n  28 [size=\"53125120\", alpha=\"0.01\", expect_size=\"26562560\"] \n  28 -> 30 [size =\"26562560\"]\n  28 -> 31 [size =\"26562560\"]\n  28 -> 33 [size =\"26562560\"]\n  29 [size=\"94242816\", alpha=\"0.07\", expect_size=\"47121408\"] \n  29 -> 34 [size =\"47121408\"]\n  29 -> 35 [size =\"47121408\"]\n  29 -> 36 [size =\"47121408\"]\n  29 -> 37 [size =\"47121408\"]\n  29 -> 38 [size =\"47121408\"]\n  30 [size=\"63270912\", alpha=\"0.15\", expect_size=\"31635456\"] \n  30 -> 34 [size =\"31635456\"]\n  30 -> 35 [size =\"31635456\"]\n  30 -> 36 [size =\"31635456\"]\n  30 -> 38 [size =\"31635456\"]\n  31 [size=\"66545664\", alpha=\"0.19\", expect_size=\"33272832\"] \n  31 -> 34 [size =\"33272832\"]\n  31 -> 35 [size =\"33272832\"]\n  31 -> 36 [size =\"33272832\"]\n  32 [size=\"37502976\", alpha=\"0.04\", expect_size=\"18751488\"] \n  32 -> 35 [size =\"18751488\"]\n  32 -> 38 [size =\"18751488\"]\n  33 [size=\"21389312\", alpha=\"0.15\", expect_size=\"10694656\"] \n  33 -> 35 [size =\"10694656\"]\n  33 -> 36 [size =\"10694656\"]\n  33 -> 38 [size =\"10694656\"]\n  34 [size=\"49930240\", alpha=\"0.18\", expect_size=\"24965120\"] \n  34 -> 39 [size =\"24965120\"]\n  34 -> 40 [size =\"24965120\"]\n  34 -> 42 [size =\"24965120\"]\n  35 [size=\"47544320\", alpha=\"0.03\", expect_size=\"23772160\"] \n  35 -> 39 [size =\"23772160\"]\n  35 -> 40 [size =\"23772160\"]\n  35 -> 43 [size =\"23772160\"]\n  36 [size=\"58990592\", alpha=\"0.03\", expect_size=\"29495296\"] \n  36 -> 41 [size =\"29495296\"]\n  37 [size=\"86929408\", alpha=\"0.12\", expect_size=\"43464704\"] \n  37 -> 40 [size =\"43464704\"]\n  37 -> 41 [size =\"43464704\"]\n  37 -> 42 [size =\"43464704\"]\n  38 [size=\"70113280\", alpha=\"0.01\", expect_size=\"35056640\"] \n  38 -> 39 [size =\"35056640\"]\n  38 -> 40 [size =\"35056640\"]\n  38 -> 42 [size =\"35056640\"]\n  38 -> 43 [size =\"35056640\"]\n  39 [size=\"74104832\", alpha=\"0.10\", expect_size=\"37052416\"] \n  39 -> 45 [size =\"37052416\"]\n  39 -> 45 [size =\"37052416\"]\n  40 [size=\"12027904\", alpha=\"0.19\", expect_size=\"6013952\"] \n  40 -> 45 [size =\"6013952\"]\n  41 [size=\"80873472\", alpha=\"0.13\", expect_size=\"40436736\"] \n  41 -> 45 [size =\"40436736\"]\n  42 [size=\"76494848\", alpha=\"0.19\", expect_size=\"38247424\"] \n  42 -> 44 [size =\"38247424\"]\n  43 [size=\"93827072\", alpha=\"0.15\", expect_size=\"46913536\"] \n  43 -> 44 [size =\"46913536\"]\n  43 -> 45 [size =\"46913536\"]\n  44 [size=\"68614144\", alpha=\"0.09\", expect_size=\"34307072\"] \n  45 [size=\"61499392\", alpha=\"0.02\", expect_size=\"30749696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75916800\", alpha=\"0.06\", expect_size=\"30366720\"] \n  1 -> 2 [size =\"30366720\"]\n  2 [size=\"58826240\", alpha=\"0.05\", expect_size=\"23530496\"] \n  2 -> 3 [size =\"23530496\"]\n  3 [size=\"63808000\", alpha=\"0.14\", expect_size=\"25523200\"] \n  3 -> 4 [size =\"25523200\"]\n  4 [size=\"121210880\", alpha=\"0.19\", expect_size=\"48484352\"] \n  4 -> 5 [size =\"48484352\"]\n  5 [size=\"74887680\", alpha=\"0.18\", expect_size=\"29955072\"] \n  5 -> 6 [size =\"29955072\"]\n  6 [size=\"33103360\", alpha=\"0.02\", expect_size=\"13241344\"] \n  6 -> 7 [size =\"13241344\"]\n  7 [size=\"92436480\", alpha=\"0.18\", expect_size=\"36974592\"] \n  7 -> 8 [size =\"36974592\"]\n  8 [size=\"64217600\", alpha=\"0.00\", expect_size=\"25687040\"] \n  8 -> 9 [size =\"25687040\"]\n  9 [size=\"98728960\", alpha=\"0.12\", expect_size=\"39491584\"] \n  9 -> 10 [size =\"39491584\"]\n  10 [size=\"119104000\", alpha=\"0.20\", expect_size=\"47641600\"] \n  10 -> 11 [size =\"47641600\"]\n  11 [size=\"57070080\", alpha=\"0.02\", expect_size=\"22828032\"] \n  11 -> 12 [size =\"22828032\"]\n  12 [size=\"93050880\", alpha=\"0.07\", expect_size=\"37220352\"] \n  12 -> 13 [size =\"37220352\"]\n  13 [size=\"123343360\", alpha=\"0.13\", expect_size=\"49337344\"] \n  13 -> 14 [size =\"49337344\"]\n  14 [size=\"86236160\", alpha=\"0.09\", expect_size=\"34494464\"] \n  14 -> 15 [size =\"34494464\"]\n  15 [size=\"80419840\", alpha=\"0.10\", expect_size=\"32167936\"] \n  15 -> 16 [size =\"32167936\"]\n  16 [size=\"66775040\", alpha=\"0.19\", expect_size=\"26710016\"] \n  16 -> 17 [size =\"26710016\"]\n  17 [size=\"80135680\", alpha=\"0.17\", expect_size=\"32054272\"] \n  17 -> 18 [size =\"32054272\"]\n  18 [size=\"67351040\", alpha=\"0.13\", expect_size=\"26940416\"] \n  18 -> 19 [size =\"26940416\"]\n  19 [size=\"69621760\", alpha=\"0.03\", expect_size=\"27848704\"] \n  19 -> 20 [size =\"27848704\"]\n  20 [size=\"23784960\", alpha=\"0.08\", expect_size=\"9513984\"] \n  20 -> 21 [size =\"9513984\"]\n  21 [size=\"22215680\", alpha=\"0.03\", expect_size=\"8886272\"] \n  21 -> 22 [size =\"8886272\"]\n  22 [size=\"36224000\", alpha=\"0.07\", expect_size=\"14489600\"] \n  22 -> 23 [size =\"14489600\"]\n  23 [size=\"76131840\", alpha=\"0.19\", expect_size=\"30452736\"] \n  23 -> 24 [size =\"30452736\"]\n  24 [size=\"34063360\", alpha=\"0.09\", expect_size=\"13625344\"] \n  24 -> 25 [size =\"13625344\"]\n  25 [size=\"85903360\", alpha=\"0.10\", expect_size=\"34361344\"] \n  25 -> 26 [size =\"34361344\"]\n  26 [size=\"24832000\", alpha=\"0.14\", expect_size=\"9932800\"] \n  26 -> 27 [size =\"9932800\"]\n  27 [size=\"19855360\", alpha=\"0.11\", expect_size=\"7942144\"] \n  27 -> 28 [size =\"7942144\"]\n  28 [size=\"121024000\", alpha=\"0.18\", expect_size=\"48409600\"] \n  28 -> 29 [size =\"48409600\"]\n  29 [size=\"77726720\", alpha=\"0.18\", expect_size=\"31090688\"] \n  29 -> 30 [size =\"31090688\"]\n  30 [size=\"94986240\", alpha=\"0.17\", expect_size=\"37994496\"] \n  30 -> 31 [size =\"37994496\"]\n  31 [size=\"23377920\", alpha=\"0.03\", expect_size=\"9351168\"] \n  31 -> 32 [size =\"9351168\"]\n  32 [size=\"43681280\", alpha=\"0.03\", expect_size=\"17472512\"] \n  32 -> 33 [size =\"17472512\"]\n  33 [size=\"83648000\", alpha=\"0.01\", expect_size=\"33459200\"] \n  33 -> 34 [size =\"33459200\"]\n  34 [size=\"76016640\", alpha=\"0.12\", expect_size=\"30406656\"] \n  34 -> 35 [size =\"30406656\"]\n  35 [size=\"128890880\", alpha=\"0.15\", expect_size=\"51556352\"] \n  35 -> 36 [size =\"51556352\"]\n  36 [size=\"68124160\", alpha=\"0.06\", expect_size=\"27249664\"] \n  36 -> 37 [size =\"27249664\"]\n  37 [size=\"31674880\", alpha=\"0.09\", expect_size=\"12669952\"] \n  37 -> 38 [size =\"12669952\"]\n  38 [size=\"98877440\", alpha=\"0.00\", expect_size=\"39550976\"] \n  38 -> 39 [size =\"39550976\"]\n  39 [size=\"84912640\", alpha=\"0.02\", expect_size=\"33965056\"] \n  39 -> 40 [size =\"33965056\"]\n  40 [size=\"75402240\", alpha=\"0.05\", expect_size=\"30160896\"] \n  40 -> 41 [size =\"30160896\"]\n  41 [size=\"58383360\", alpha=\"0.10\", expect_size=\"23353344\"] \n  41 -> 42 [size =\"23353344\"]\n  42 [size=\"77818880\", alpha=\"0.19\", expect_size=\"31127552\"] \n  42 -> 43 [size =\"31127552\"]\n  43 [size=\"95687680\", alpha=\"0.18\", expect_size=\"38275072\"] \n  43 -> 44 [size =\"38275072\"]\n  44 [size=\"104266240\", alpha=\"0.01\", expect_size=\"41706496\"] \n  44 -> 45 [size =\"41706496\"]\n  45 [size=\"58716160\", alpha=\"0.17\", expect_size=\"23486464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75696128\", alpha=\"0.08\", expect_size=\"37848064\"] \n  1 -> 15 [size =\"37848064\"]\n  1 -> 16 [size =\"37848064\"]\n  1 -> 17 [size =\"37848064\"]\n  1 -> 18 [size =\"37848064\"]\n  1 -> 22 [size =\"37848064\"]\n  1 -> 23 [size =\"37848064\"]\n  1 -> 24 [size =\"37848064\"]\n  1 -> 25 [size =\"37848064\"]\n  1 -> 29 [size =\"37848064\"]\n  1 -> 30 [size =\"37848064\"]\n  2 [size=\"17356800\", alpha=\"0.19\", expect_size=\"8678400\"] \n  2 -> 16 [size =\"8678400\"]\n  2 -> 17 [size =\"8678400\"]\n  2 -> 19 [size =\"8678400\"]\n  2 -> 20 [size =\"8678400\"]\n  2 -> 22 [size =\"8678400\"]\n  2 -> 24 [size =\"8678400\"]\n  2 -> 24 [size =\"8678400\"]\n  2 -> 28 [size =\"8678400\"]\n  2 -> 29 [size =\"8678400\"]\n  2 -> 30 [size =\"8678400\"]\n  3 [size=\"70471680\", alpha=\"0.16\", expect_size=\"35235840\"] \n  3 -> 19 [size =\"35235840\"]\n  3 -> 20 [size =\"35235840\"]\n  3 -> 21 [size =\"35235840\"]\n  3 -> 22 [size =\"35235840\"]\n  3 -> 22 [size =\"35235840\"]\n  3 -> 23 [size =\"35235840\"]\n  3 -> 24 [size =\"35235840\"]\n  3 -> 26 [size =\"35235840\"]\n  3 -> 30 [size =\"35235840\"]\n  4 [size=\"18751488\", alpha=\"0.06\", expect_size=\"9375744\"] \n  4 -> 16 [size =\"9375744\"]\n  4 -> 18 [size =\"9375744\"]\n  4 -> 19 [size =\"9375744\"]\n  4 -> 21 [size =\"9375744\"]\n  4 -> 22 [size =\"9375744\"]\n  4 -> 25 [size =\"9375744\"]\n  4 -> 27 [size =\"9375744\"]\n  4 -> 29 [size =\"9375744\"]\n  4 -> 30 [size =\"9375744\"]\n  5 [size=\"27308032\", alpha=\"0.08\", expect_size=\"13654016\"] \n  5 -> 15 [size =\"13654016\"]\n  5 -> 16 [size =\"13654016\"]\n  5 -> 21 [size =\"13654016\"]\n  5 -> 25 [size =\"13654016\"]\n  5 -> 26 [size =\"13654016\"]\n  5 -> 30 [size =\"13654016\"]\n  6 [size=\"102641664\", alpha=\"0.04\", expect_size=\"51320832\"] \n  6 -> 16 [size =\"51320832\"]\n  6 -> 16 [size =\"51320832\"]\n  6 -> 21 [size =\"51320832\"]\n  6 -> 22 [size =\"51320832\"]\n  6 -> 23 [size =\"51320832\"]\n  6 -> 30 [size =\"51320832\"]\n  7 [size=\"76259328\", alpha=\"0.05\", expect_size=\"38129664\"] \n  7 -> 15 [size =\"38129664\"]\n  7 -> 16 [size =\"38129664\"]\n  7 -> 18 [size =\"38129664\"]\n  7 -> 19 [size =\"38129664\"]\n  7 -> 20 [size =\"38129664\"]\n  7 -> 21 [size =\"38129664\"]\n  7 -> 23 [size =\"38129664\"]\n  7 -> 28 [size =\"38129664\"]\n  7 -> 30 [size =\"38129664\"]\n  8 [size=\"53299200\", alpha=\"0.01\", expect_size=\"26649600\"] \n  8 -> 17 [size =\"26649600\"]\n  8 -> 19 [size =\"26649600\"]\n  8 -> 21 [size =\"26649600\"]\n  8 -> 22 [size =\"26649600\"]\n  8 -> 23 [size =\"26649600\"]\n  8 -> 27 [size =\"26649600\"]\n  8 -> 30 [size =\"26649600\"]\n  9 [size=\"71051264\", alpha=\"0.16\", expect_size=\"35525632\"] \n  9 -> 15 [size =\"35525632\"]\n  9 -> 16 [size =\"35525632\"]\n  9 -> 20 [size =\"35525632\"]\n  9 -> 21 [size =\"35525632\"]\n  9 -> 22 [size =\"35525632\"]\n  9 -> 25 [size =\"35525632\"]\n  9 -> 30 [size =\"35525632\"]\n  10 [size=\"26480640\", alpha=\"0.09\", expect_size=\"13240320\"] \n  10 -> 16 [size =\"13240320\"]\n  10 -> 16 [size =\"13240320\"]\n  10 -> 19 [size =\"13240320\"]\n  10 -> 20 [size =\"13240320\"]\n  10 -> 21 [size =\"13240320\"]\n  10 -> 22 [size =\"13240320\"]\n  10 -> 23 [size =\"13240320\"]\n  10 -> 27 [size =\"13240320\"]\n  10 -> 29 [size =\"13240320\"]\n  10 -> 30 [size =\"13240320\"]\n  11 [size=\"82880512\", alpha=\"0.02\", expect_size=\"41440256\"] \n  11 -> 16 [size =\"41440256\"]\n  11 -> 17 [size =\"41440256\"]\n  11 -> 19 [size =\"41440256\"]\n  11 -> 21 [size =\"41440256\"]\n  11 -> 21 [size =\"41440256\"]\n  11 -> 24 [size =\"41440256\"]\n  11 -> 27 [size =\"41440256\"]\n  11 -> 30 [size =\"41440256\"]\n  12 [size=\"25675776\", alpha=\"0.14\", expect_size=\"12837888\"] \n  12 -> 17 [size =\"12837888\"]\n  12 -> 18 [size =\"12837888\"]\n  12 -> 19 [size =\"12837888\"]\n  12 -> 21 [size =\"12837888\"]\n  12 -> 24 [size =\"12837888\"]\n  12 -> 28 [size =\"12837888\"]\n  12 -> 29 [size =\"12837888\"]\n  12 -> 30 [size =\"12837888\"]\n  13 [size=\"23289856\", alpha=\"0.02\", expect_size=\"11644928\"] \n  13 -> 19 [size =\"11644928\"]\n  13 -> 21 [size =\"11644928\"]\n  13 -> 22 [size =\"11644928\"]\n  13 -> 25 [size =\"11644928\"]\n  13 -> 27 [size =\"11644928\"]\n  13 -> 28 [size =\"11644928\"]\n  13 -> 29 [size =\"11644928\"]\n  14 [size=\"100741120\", alpha=\"0.01\", expect_size=\"50370560\"] \n  14 -> 17 [size =\"50370560\"]\n  14 -> 18 [size =\"50370560\"]\n  14 -> 25 [size =\"50370560\"]\n  14 -> 25 [size =\"50370560\"]\n  14 -> 29 [size =\"50370560\"]\n  14 -> 30 [size =\"50370560\"]\n  15 [size=\"33204224\", alpha=\"0.05\", expect_size=\"16602112\"] \n  15 -> 31 [size =\"16602112\"]\n  15 -> 36 [size =\"16602112\"]\n  15 -> 37 [size =\"16602112\"]\n  15 -> 38 [size =\"16602112\"]\n  15 -> 40 [size =\"16602112\"]\n  15 -> 41 [size =\"16602112\"]\n  16 [size=\"69654528\", alpha=\"0.00\", expect_size=\"34827264\"] \n  16 -> 31 [size =\"34827264\"]\n  16 -> 34 [size =\"34827264\"]\n  16 -> 36 [size =\"34827264\"]\n  16 -> 38 [size =\"34827264\"]\n  16 -> 44 [size =\"34827264\"]\n  17 [size=\"87607296\", alpha=\"0.07\", expect_size=\"43803648\"] \n  17 -> 31 [size =\"43803648\"]\n  17 -> 32 [size =\"43803648\"]\n  17 -> 35 [size =\"43803648\"]\n  17 -> 36 [size =\"43803648\"]\n  17 -> 37 [size =\"43803648\"]\n  17 -> 38 [size =\"43803648\"]\n  17 -> 41 [size =\"43803648\"]\n  17 -> 42 [size =\"43803648\"]\n  18 [size=\"15224832\", alpha=\"0.02\", expect_size=\"7612416\"] \n  18 -> 31 [size =\"7612416\"]\n  18 -> 32 [size =\"7612416\"]\n  18 -> 33 [size =\"7612416\"]\n  18 -> 35 [size =\"7612416\"]\n  18 -> 36 [size =\"7612416\"]\n  18 -> 37 [size =\"7612416\"]\n  18 -> 38 [size =\"7612416\"]\n  18 -> 41 [size =\"7612416\"]\n  19 [size=\"18249728\", alpha=\"0.14\", expect_size=\"9124864\"] \n  19 -> 32 [size =\"9124864\"]\n  19 -> 33 [size =\"9124864\"]\n  19 -> 35 [size =\"9124864\"]\n  19 -> 36 [size =\"9124864\"]\n  19 -> 38 [size =\"9124864\"]\n  19 -> 41 [size =\"9124864\"]\n  19 -> 42 [size =\"9124864\"]\n  20 [size=\"91860992\", alpha=\"0.17\", expect_size=\"45930496\"] \n  20 -> 31 [size =\"45930496\"]\n  20 -> 32 [size =\"45930496\"]\n  20 -> 39 [size =\"45930496\"]\n  20 -> 41 [size =\"45930496\"]\n  20 -> 44 [size =\"45930496\"]\n  21 [size=\"41369600\", alpha=\"0.13\", expect_size=\"20684800\"] \n  21 -> 34 [size =\"20684800\"]\n  21 -> 36 [size =\"20684800\"]\n  21 -> 39 [size =\"20684800\"]\n  21 -> 41 [size =\"20684800\"]\n  21 -> 42 [size =\"20684800\"]\n  21 -> 43 [size =\"20684800\"]\n  22 [size=\"50124800\", alpha=\"0.12\", expect_size=\"25062400\"] \n  22 -> 31 [size =\"25062400\"]\n  22 -> 32 [size =\"25062400\"]\n  22 -> 34 [size =\"25062400\"]\n  22 -> 36 [size =\"25062400\"]\n  22 -> 38 [size =\"25062400\"]\n  22 -> 39 [size =\"25062400\"]\n  22 -> 41 [size =\"25062400\"]\n  22 -> 43 [size =\"25062400\"]\n  22 -> 45 [size =\"25062400\"]\n  23 [size=\"23412736\", alpha=\"0.02\", expect_size=\"11706368\"] \n  23 -> 31 [size =\"11706368\"]\n  23 -> 34 [size =\"11706368\"]\n  23 -> 38 [size =\"11706368\"]\n  23 -> 41 [size =\"11706368\"]\n  23 -> 42 [size =\"11706368\"]\n  23 -> 45 [size =\"11706368\"]\n  24 [size=\"34635776\", alpha=\"0.15\", expect_size=\"17317888\"] \n  24 -> 31 [size =\"17317888\"]\n  24 -> 36 [size =\"17317888\"]\n  24 -> 38 [size =\"17317888\"]\n  24 -> 41 [size =\"17317888\"]\n  24 -> 43 [size =\"17317888\"]\n  24 -> 44 [size =\"17317888\"]\n  24 -> 45 [size =\"17317888\"]\n  25 [size=\"37210112\", alpha=\"0.11\", expect_size=\"18605056\"] \n  25 -> 31 [size =\"18605056\"]\n  25 -> 33 [size =\"18605056\"]\n  25 -> 34 [size =\"18605056\"]\n  25 -> 37 [size =\"18605056\"]\n  25 -> 38 [size =\"18605056\"]\n  25 -> 41 [size =\"18605056\"]\n  25 -> 42 [size =\"18605056\"]\n  25 -> 44 [size =\"18605056\"]\n  26 [size=\"58488832\", alpha=\"0.07\", expect_size=\"29244416\"] \n  26 -> 31 [size =\"29244416\"]\n  26 -> 34 [size =\"29244416\"]\n  26 -> 37 [size =\"29244416\"]\n  26 -> 37 [size =\"29244416\"]\n  26 -> 38 [size =\"29244416\"]\n  26 -> 43 [size =\"29244416\"]\n  26 -> 44 [size =\"29244416\"]\n  27 [size=\"59033600\", alpha=\"0.16\", expect_size=\"29516800\"] \n  27 -> 31 [size =\"29516800\"]\n  27 -> 38 [size =\"29516800\"]\n  27 -> 39 [size =\"29516800\"]\n  27 -> 43 [size =\"29516800\"]\n  27 -> 44 [size =\"29516800\"]\n  28 [size=\"91668480\", alpha=\"0.15\", expect_size=\"45834240\"] \n  28 -> 31 [size =\"45834240\"]\n  28 -> 32 [size =\"45834240\"]\n  28 -> 34 [size =\"45834240\"]\n  28 -> 36 [size =\"45834240\"]\n  28 -> 38 [size =\"45834240\"]\n  28 -> 39 [size =\"45834240\"]\n  28 -> 41 [size =\"45834240\"]\n  28 -> 43 [size =\"45834240\"]\n  28 -> 44 [size =\"45834240\"]\n  29 [size=\"98881536\", alpha=\"0.06\", expect_size=\"49440768\"] \n  29 -> 31 [size =\"49440768\"]\n  29 -> 33 [size =\"49440768\"]\n  29 -> 34 [size =\"49440768\"]\n  29 -> 38 [size =\"49440768\"]\n  29 -> 38 [size =\"49440768\"]\n  29 -> 41 [size =\"49440768\"]\n  29 -> 41 [size =\"49440768\"]\n  29 -> 43 [size =\"49440768\"]\n  30 [size=\"70852608\", alpha=\"0.01\", expect_size=\"35426304\"] \n  30 -> 32 [size =\"35426304\"]\n  30 -> 38 [size =\"35426304\"]\n  30 -> 41 [size =\"35426304\"]\n  30 -> 43 [size =\"35426304\"]\n  31 [size=\"56020992\", alpha=\"0.11\", expect_size=\"28010496\"] \n  32 [size=\"25227264\", alpha=\"0.05\", expect_size=\"12613632\"] \n  33 [size=\"79714304\", alpha=\"0.01\", expect_size=\"39857152\"] \n  34 [size=\"90726400\", alpha=\"0.16\", expect_size=\"45363200\"] \n  35 [size=\"66531328\", alpha=\"0.16\", expect_size=\"33265664\"] \n  36 [size=\"23951360\", alpha=\"0.09\", expect_size=\"11975680\"] \n  37 [size=\"55146496\", alpha=\"0.18\", expect_size=\"27573248\"] \n  38 [size=\"37144576\", alpha=\"0.08\", expect_size=\"18572288\"] \n  39 [size=\"12763136\", alpha=\"0.20\", expect_size=\"6381568\"] \n  40 [size=\"42569728\", alpha=\"0.08\", expect_size=\"21284864\"] \n  41 [size=\"48185344\", alpha=\"0.04\", expect_size=\"24092672\"] \n  42 [size=\"102010880\", alpha=\"0.08\", expect_size=\"51005440\"] \n  43 [size=\"30486528\", alpha=\"0.14\", expect_size=\"15243264\"] \n  44 [size=\"35166208\", alpha=\"0.06\", expect_size=\"17583104\"] \n  45 [size=\"17559552\", alpha=\"0.03\", expect_size=\"8779776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37150720\", alpha=\"0.10\", expect_size=\"14860288\"] \n  1 -> 38 [size =\"14860288\"]\n  2 [size=\"111802880\", alpha=\"0.04\", expect_size=\"44721152\"] \n  2 -> 39 [size =\"44721152\"]\n  2 -> 40 [size =\"44721152\"]\n  2 -> 43 [size =\"44721152\"]\n  3 [size=\"23406080\", alpha=\"0.09\", expect_size=\"9362432\"] \n  3 -> 32 [size =\"9362432\"]\n  3 -> 38 [size =\"9362432\"]\n  3 -> 40 [size =\"9362432\"]\n  3 -> 42 [size =\"9362432\"]\n  4 [size=\"89390080\", alpha=\"0.00\", expect_size=\"35756032\"] \n  4 -> 34 [size =\"35756032\"]\n  4 -> 35 [size =\"35756032\"]\n  4 -> 38 [size =\"35756032\"]\n  4 -> 40 [size =\"35756032\"]\n  5 [size=\"45007360\", alpha=\"0.01\", expect_size=\"18002944\"] \n  5 -> 34 [size =\"18002944\"]\n  5 -> 38 [size =\"18002944\"]\n  5 -> 39 [size =\"18002944\"]\n  5 -> 44 [size =\"18002944\"]\n  6 [size=\"121464320\", alpha=\"0.02\", expect_size=\"48585728\"] \n  7 [size=\"53201920\", alpha=\"0.05\", expect_size=\"21280768\"] \n  7 -> 35 [size =\"21280768\"]\n  7 -> 36 [size =\"21280768\"]\n  7 -> 39 [size =\"21280768\"]\n  7 -> 40 [size =\"21280768\"]\n  8 [size=\"69916160\", alpha=\"0.04\", expect_size=\"27966464\"] \n  8 -> 36 [size =\"27966464\"]\n  8 -> 38 [size =\"27966464\"]\n  8 -> 44 [size =\"27966464\"]\n  9 [size=\"67335680\", alpha=\"0.06\", expect_size=\"26934272\"] \n  9 -> 34 [size =\"26934272\"]\n  9 -> 39 [size =\"26934272\"]\n  10 [size=\"62410240\", alpha=\"0.01\", expect_size=\"24964096\"] \n  10 -> 38 [size =\"24964096\"]\n  10 -> 39 [size =\"24964096\"]\n  10 -> 43 [size =\"24964096\"]\n  11 [size=\"123008000\", alpha=\"0.08\", expect_size=\"49203200\"] \n  11 -> 33 [size =\"49203200\"]\n  11 -> 34 [size =\"49203200\"]\n  12 [size=\"63907840\", alpha=\"0.04\", expect_size=\"25563136\"] \n  12 -> 39 [size =\"25563136\"]\n  13 [size=\"89620480\", alpha=\"0.10\", expect_size=\"35848192\"] \n  13 -> 43 [size =\"35848192\"]\n  14 [size=\"21831680\", alpha=\"0.18\", expect_size=\"8732672\"] \n  14 -> 34 [size =\"8732672\"]\n  14 -> 37 [size =\"8732672\"]\n  14 -> 40 [size =\"8732672\"]\n  15 [size=\"23854080\", alpha=\"0.10\", expect_size=\"9541632\"] \n  16 [size=\"31825920\", alpha=\"0.17\", expect_size=\"12730368\"] \n  16 -> 34 [size =\"12730368\"]\n  16 -> 35 [size =\"12730368\"]\n  16 -> 38 [size =\"12730368\"]\n  16 -> 39 [size =\"12730368\"]\n  16 -> 42 [size =\"12730368\"]\n  16 -> 44 [size =\"12730368\"]\n  17 [size=\"44943360\", alpha=\"0.03\", expect_size=\"17977344\"] \n  17 -> 33 [size =\"17977344\"]\n  17 -> 35 [size =\"17977344\"]\n  17 -> 38 [size =\"17977344\"]\n  17 -> 40 [size =\"17977344\"]\n  17 -> 43 [size =\"17977344\"]\n  18 [size=\"74905600\", alpha=\"0.11\", expect_size=\"29962240\"] \n  18 -> 34 [size =\"29962240\"]\n  18 -> 35 [size =\"29962240\"]\n  19 [size=\"98368000\", alpha=\"0.02\", expect_size=\"39347200\"] \n  19 -> 34 [size =\"39347200\"]\n  19 -> 35 [size =\"39347200\"]\n  19 -> 41 [size =\"39347200\"]\n  20 [size=\"18457600\", alpha=\"0.10\", expect_size=\"7383040\"] \n  20 -> 34 [size =\"7383040\"]\n  20 -> 38 [size =\"7383040\"]\n  21 [size=\"24844800\", alpha=\"0.03\", expect_size=\"9937920\"] \n  21 -> 39 [size =\"9937920\"]\n  21 -> 40 [size =\"9937920\"]\n  21 -> 43 [size =\"9937920\"]\n  22 [size=\"70489600\", alpha=\"0.11\", expect_size=\"28195840\"] \n  22 -> 33 [size =\"28195840\"]\n  22 -> 35 [size =\"28195840\"]\n  22 -> 39 [size =\"28195840\"]\n  22 -> 40 [size =\"28195840\"]\n  23 [size=\"92136960\", alpha=\"0.02\", expect_size=\"36854784\"] \n  23 -> 32 [size =\"36854784\"]\n  23 -> 34 [size =\"36854784\"]\n  23 -> 38 [size =\"36854784\"]\n  23 -> 39 [size =\"36854784\"]\n  23 -> 40 [size =\"36854784\"]\n  23 -> 42 [size =\"36854784\"]\n  24 [size=\"32017920\", alpha=\"0.06\", expect_size=\"12807168\"] \n  24 -> 39 [size =\"12807168\"]\n  25 [size=\"18173440\", alpha=\"0.15\", expect_size=\"7269376\"] \n  25 -> 37 [size =\"7269376\"]\n  25 -> 38 [size =\"7269376\"]\n  25 -> 39 [size =\"7269376\"]\n  25 -> 44 [size =\"7269376\"]\n  26 [size=\"75082240\", alpha=\"0.02\", expect_size=\"30032896\"] \n  26 -> 38 [size =\"30032896\"]\n  26 -> 39 [size =\"30032896\"]\n  26 -> 39 [size =\"30032896\"]\n  26 -> 42 [size =\"30032896\"]\n  27 [size=\"57146880\", alpha=\"0.16\", expect_size=\"22858752\"] \n  27 -> 33 [size =\"22858752\"]\n  27 -> 38 [size =\"22858752\"]\n  27 -> 45 [size =\"22858752\"]\n  28 [size=\"75591680\", alpha=\"0.00\", expect_size=\"30236672\"] \n  28 -> 38 [size =\"30236672\"]\n  28 -> 40 [size =\"30236672\"]\n  28 -> 41 [size =\"30236672\"]\n  29 [size=\"25175040\", alpha=\"0.13\", expect_size=\"10070016\"] \n  29 -> 40 [size =\"10070016\"]\n  29 -> 44 [size =\"10070016\"]\n  30 [size=\"38077440\", alpha=\"0.15\", expect_size=\"15230976\"] \n  30 -> 38 [size =\"15230976\"]\n  30 -> 40 [size =\"15230976\"]\n  31 [size=\"98897920\", alpha=\"0.15\", expect_size=\"39559168\"] \n  31 -> 38 [size =\"39559168\"]\n  31 -> 42 [size =\"39559168\"]\n  32 [size=\"113715200\", alpha=\"0.03\", expect_size=\"45486080\"] \n  33 [size=\"63262720\", alpha=\"0.05\", expect_size=\"25305088\"] \n  34 [size=\"75806720\", alpha=\"0.08\", expect_size=\"30322688\"] \n  35 [size=\"109662720\", alpha=\"0.13\", expect_size=\"43865088\"] \n  36 [size=\"78773760\", alpha=\"0.01\", expect_size=\"31509504\"] \n  37 [size=\"91491840\", alpha=\"0.14\", expect_size=\"36596736\"] \n  38 [size=\"69952000\", alpha=\"0.18\", expect_size=\"27980800\"] \n  39 [size=\"70965760\", alpha=\"0.17\", expect_size=\"28386304\"] \n  40 [size=\"30791680\", alpha=\"0.16\", expect_size=\"12316672\"] \n  41 [size=\"116705280\", alpha=\"0.17\", expect_size=\"46682112\"] \n  42 [size=\"84707840\", alpha=\"0.08\", expect_size=\"33883136\"] \n  43 [size=\"103569920\", alpha=\"0.13\", expect_size=\"41427968\"] \n  44 [size=\"13875200\", alpha=\"0.00\", expect_size=\"5550080\"] \n  45 [size=\"60277760\", alpha=\"0.09\", expect_size=\"24111104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86894592\", alpha=\"0.17\", expect_size=\"43447296\"] \n  1 -> 44 [size =\"43447296\"]\n  2 [size=\"83992576\", alpha=\"0.16\", expect_size=\"41996288\"] \n  2 -> 44 [size =\"41996288\"]\n  2 -> 45 [size =\"41996288\"]\n  3 [size=\"76447744\", alpha=\"0.09\", expect_size=\"38223872\"] \n  3 -> 44 [size =\"38223872\"]\n  4 [size=\"102137856\", alpha=\"0.12\", expect_size=\"51068928\"] \n  4 -> 44 [size =\"51068928\"]\n  5 [size=\"34492416\", alpha=\"0.09\", expect_size=\"17246208\"] \n  6 [size=\"99934208\", alpha=\"0.09\", expect_size=\"49967104\"] \n  6 -> 44 [size =\"49967104\"]\n  7 [size=\"103469056\", alpha=\"0.13\", expect_size=\"51734528\"] \n  8 [size=\"31660032\", alpha=\"0.13\", expect_size=\"15830016\"] \n  8 -> 44 [size =\"15830016\"]\n  9 [size=\"93493248\", alpha=\"0.00\", expect_size=\"46746624\"] \n  9 -> 44 [size =\"46746624\"]\n  10 [size=\"61980672\", alpha=\"0.19\", expect_size=\"30990336\"] \n  11 [size=\"94009344\", alpha=\"0.09\", expect_size=\"47004672\"] \n  12 [size=\"81408000\", alpha=\"0.09\", expect_size=\"40704000\"] \n  13 [size=\"63217664\", alpha=\"0.08\", expect_size=\"31608832\"] \n  13 -> 44 [size =\"31608832\"]\n  14 [size=\"10684416\", alpha=\"0.02\", expect_size=\"5342208\"] \n  15 [size=\"69150720\", alpha=\"0.03\", expect_size=\"34575360\"] \n  15 -> 44 [size =\"34575360\"]\n  16 [size=\"15302656\", alpha=\"0.18\", expect_size=\"7651328\"] \n  16 -> 44 [size =\"7651328\"]\n  17 [size=\"56188928\", alpha=\"0.06\", expect_size=\"28094464\"] \n  17 -> 44 [size =\"28094464\"]\n  17 -> 45 [size =\"28094464\"]\n  18 [size=\"23891968\", alpha=\"0.04\", expect_size=\"11945984\"] \n  19 [size=\"85743616\", alpha=\"0.12\", expect_size=\"42871808\"] \n  20 [size=\"86243328\", alpha=\"0.15\", expect_size=\"43121664\"] \n  21 [size=\"81838080\", alpha=\"0.14\", expect_size=\"40919040\"] \n  21 -> 44 [size =\"40919040\"]\n  22 [size=\"27674624\", alpha=\"0.09\", expect_size=\"13837312\"] \n  23 [size=\"69623808\", alpha=\"0.17\", expect_size=\"34811904\"] \n  23 -> 44 [size =\"34811904\"]\n  24 [size=\"14946304\", alpha=\"0.05\", expect_size=\"7473152\"] \n  24 -> 44 [size =\"7473152\"]\n  25 [size=\"25845760\", alpha=\"0.18\", expect_size=\"12922880\"] \n  26 [size=\"38563840\", alpha=\"0.10\", expect_size=\"19281920\"] \n  27 [size=\"27924480\", alpha=\"0.02\", expect_size=\"13962240\"] \n  28 [size=\"56705024\", alpha=\"0.18\", expect_size=\"28352512\"] \n  28 -> 45 [size =\"28352512\"]\n  29 [size=\"73857024\", alpha=\"0.12\", expect_size=\"36928512\"] \n  30 [size=\"37169152\", alpha=\"0.17\", expect_size=\"18584576\"] \n  31 [size=\"13746176\", alpha=\"0.19\", expect_size=\"6873088\"] \n  31 -> 45 [size =\"6873088\"]\n  32 [size=\"79992832\", alpha=\"0.17\", expect_size=\"39996416\"] \n  33 [size=\"26306560\", alpha=\"0.05\", expect_size=\"13153280\"] \n  33 -> 45 [size =\"13153280\"]\n  34 [size=\"13017088\", alpha=\"0.14\", expect_size=\"6508544\"] \n  35 [size=\"37408768\", alpha=\"0.15\", expect_size=\"18704384\"] \n  36 [size=\"29114368\", alpha=\"0.17\", expect_size=\"14557184\"] \n  37 [size=\"77584384\", alpha=\"0.09\", expect_size=\"38792192\"] \n  38 [size=\"87056384\", alpha=\"0.04\", expect_size=\"43528192\"] \n  39 [size=\"78710784\", alpha=\"0.14\", expect_size=\"39355392\"] \n  40 [size=\"41179136\", alpha=\"0.01\", expect_size=\"20589568\"] \n  41 [size=\"25958400\", alpha=\"0.03\", expect_size=\"12979200\"] \n  41 -> 44 [size =\"12979200\"]\n  42 [size=\"22202368\", alpha=\"0.08\", expect_size=\"11101184\"] \n  42 -> 45 [size =\"11101184\"]\n  43 [size=\"100833280\", alpha=\"0.06\", expect_size=\"50416640\"] \n  44 [size=\"31469568\", alpha=\"0.05\", expect_size=\"15734784\"] \n  45 [size=\"97429504\", alpha=\"0.07\", expect_size=\"48714752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170554027\", alpha=\"0.04\", expect_size=\"51166208\"] \n  2 [size=\"62187520\", alpha=\"0.01\", expect_size=\"18656256\"] \n  3 [size=\"98655573\", alpha=\"0.09\", expect_size=\"29596672\"] \n  3 -> 4 [size =\"29596672\"]\n  3 -> 5 [size =\"29596672\"]\n  4 [size=\"99645440\", alpha=\"0.19\", expect_size=\"29893632\"] \n  4 -> 8 [size =\"29893632\"]\n  5 [size=\"140032000\", alpha=\"0.08\", expect_size=\"42009600\"] \n  5 -> 6 [size =\"42009600\"]\n  5 -> 7 [size =\"42009600\"]\n  6 [size=\"112029013\", alpha=\"0.14\", expect_size=\"33608704\"] \n  6 -> 10 [size =\"33608704\"]\n  7 [size=\"23852373\", alpha=\"0.03\", expect_size=\"7155712\"] \n  7 -> 9 [size =\"7155712\"]\n  7 -> 10 [size =\"7155712\"]\n  8 [size=\"148077227\", alpha=\"0.14\", expect_size=\"44423168\"] \n  8 -> 11 [size =\"44423168\"]\n  9 [size=\"44137813\", alpha=\"0.19\", expect_size=\"13241344\"] \n  9 -> 12 [size =\"13241344\"]\n  10 [size=\"27351040\", alpha=\"0.09\", expect_size=\"8205312\"] \n  10 -> 12 [size =\"8205312\"]\n  11 [size=\"154023253\", alpha=\"0.15\", expect_size=\"46206976\"] \n  11 -> 13 [size =\"46206976\"]\n  12 [size=\"25094827\", alpha=\"0.13\", expect_size=\"7528448\"] \n  12 -> 14 [size =\"7528448\"]\n  13 [size=\"32709973\", alpha=\"0.04\", expect_size=\"9812992\"] \n  13 -> 15 [size =\"9812992\"]\n  14 [size=\"103410347\", alpha=\"0.05\", expect_size=\"31023104\"] \n  14 -> 16 [size =\"31023104\"]\n  14 -> 17 [size =\"31023104\"]\n  15 [size=\"97723733\", alpha=\"0.03\", expect_size=\"29317120\"] \n  15 -> 18 [size =\"29317120\"]\n  16 [size=\"158484480\", alpha=\"0.17\", expect_size=\"47545344\"] \n  16 -> 19 [size =\"47545344\"]\n  17 [size=\"113295360\", alpha=\"0.04\", expect_size=\"33988608\"] \n  18 [size=\"139735040\", alpha=\"0.09\", expect_size=\"41920512\"] \n  18 -> 19 [size =\"41920512\"]\n  18 -> 20 [size =\"41920512\"]\n  19 [size=\"96109227\", alpha=\"0.08\", expect_size=\"28832768\"] \n  19 -> 21 [size =\"28832768\"]\n  20 [size=\"85742933\", alpha=\"0.11\", expect_size=\"25722880\"] \n  20 -> 22 [size =\"25722880\"]\n  20 -> 23 [size =\"25722880\"]\n  21 [size=\"154600107\", alpha=\"0.14\", expect_size=\"46380032\"] \n  21 -> 24 [size =\"46380032\"]\n  21 -> 25 [size =\"46380032\"]\n  21 -> 26 [size =\"46380032\"]\n  22 [size=\"115677867\", alpha=\"0.02\", expect_size=\"34703360\"] \n  22 -> 25 [size =\"34703360\"]\n  22 -> 26 [size =\"34703360\"]\n  23 [size=\"61675520\", alpha=\"0.01\", expect_size=\"18502656\"] \n  24 [size=\"90429440\", alpha=\"0.10\", expect_size=\"27128832\"] \n  24 -> 27 [size =\"27128832\"]\n  24 -> 29 [size =\"27128832\"]\n  25 [size=\"126361600\", alpha=\"0.15\", expect_size=\"37908480\"] \n  25 -> 27 [size =\"37908480\"]\n  26 [size=\"153381547\", alpha=\"0.11\", expect_size=\"46014464\"] \n  26 -> 28 [size =\"46014464\"]\n  27 [size=\"127013547\", alpha=\"0.09\", expect_size=\"38104064\"] \n  27 -> 31 [size =\"38104064\"]\n  28 [size=\"155344213\", alpha=\"0.03\", expect_size=\"46603264\"] \n  28 -> 30 [size =\"46603264\"]\n  29 [size=\"65658880\", alpha=\"0.01\", expect_size=\"19697664\"] \n  29 -> 31 [size =\"19697664\"]\n  30 [size=\"125805227\", alpha=\"0.20\", expect_size=\"37741568\"] \n  31 [size=\"54142293\", alpha=\"0.16\", expect_size=\"16242688\"] \n  31 -> 32 [size =\"16242688\"]\n  31 -> 33 [size =\"16242688\"]\n  31 -> 34 [size =\"16242688\"]\n  32 [size=\"161037653\", alpha=\"0.13\", expect_size=\"48311296\"] \n  32 -> 35 [size =\"48311296\"]\n  33 [size=\"19350187\", alpha=\"0.12\", expect_size=\"5805056\"] \n  33 -> 36 [size =\"5805056\"]\n  34 [size=\"24825173\", alpha=\"0.02\", expect_size=\"7447552\"] \n  35 [size=\"102355627\", alpha=\"0.02\", expect_size=\"30706688\"] \n  35 -> 37 [size =\"30706688\"]\n  35 -> 38 [size =\"30706688\"]\n  35 -> 39 [size =\"30706688\"]\n  36 [size=\"59921067\", alpha=\"0.00\", expect_size=\"17976320\"] \n  37 [size=\"149367467\", alpha=\"0.11\", expect_size=\"44810240\"] \n  37 -> 41 [size =\"44810240\"]\n  38 [size=\"62501547\", alpha=\"0.17\", expect_size=\"18750464\"] \n  38 -> 40 [size =\"18750464\"]\n  38 -> 41 [size =\"18750464\"]\n  39 [size=\"87207253\", alpha=\"0.13\", expect_size=\"26162176\"] \n  40 [size=\"92863147\", alpha=\"0.17\", expect_size=\"27858944\"] \n  40 -> 43 [size =\"27858944\"]\n  40 -> 44 [size =\"27858944\"]\n  41 [size=\"89350827\", alpha=\"0.19\", expect_size=\"26805248\"] \n  41 -> 42 [size =\"26805248\"]\n  42 [size=\"55924053\", alpha=\"0.14\", expect_size=\"16777216\"] \n  42 -> 45 [size =\"16777216\"]\n  43 [size=\"157498027\", alpha=\"0.14\", expect_size=\"47249408\"] \n  43 -> 45 [size =\"47249408\"]\n  44 [size=\"94733653\", alpha=\"0.03\", expect_size=\"28420096\"] \n  45 [size=\"110848000\", alpha=\"0.06\", expect_size=\"33254400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87293440\", alpha=\"0.02\", expect_size=\"34917376\"] \n  1 -> 4 [size =\"34917376\"]\n  1 -> 5 [size =\"34917376\"]\n  2 [size=\"14750720\", alpha=\"0.09\", expect_size=\"5900288\"] \n  2 -> 4 [size =\"5900288\"]\n  3 [size=\"109954560\", alpha=\"0.06\", expect_size=\"43981824\"] \n  3 -> 5 [size =\"43981824\"]\n  4 [size=\"107740160\", alpha=\"0.03\", expect_size=\"43096064\"] \n  4 -> 6 [size =\"43096064\"]\n  4 -> 7 [size =\"43096064\"]\n  5 [size=\"54412800\", alpha=\"0.06\", expect_size=\"21765120\"] \n  5 -> 6 [size =\"21765120\"]\n  5 -> 7 [size =\"21765120\"]\n  6 [size=\"102763520\", alpha=\"0.01\", expect_size=\"41105408\"] \n  6 -> 8 [size =\"41105408\"]\n  7 [size=\"128058880\", alpha=\"0.19\", expect_size=\"51223552\"] \n  7 -> 8 [size =\"51223552\"]\n  7 -> 9 [size =\"51223552\"]\n  8 [size=\"104765440\", alpha=\"0.18\", expect_size=\"41906176\"] \n  8 -> 10 [size =\"41906176\"]\n  8 -> 11 [size =\"41906176\"]\n  9 [size=\"79531520\", alpha=\"0.12\", expect_size=\"31812608\"] \n  9 -> 10 [size =\"31812608\"]\n  9 -> 11 [size =\"31812608\"]\n  9 -> 12 [size =\"31812608\"]\n  10 [size=\"47324160\", alpha=\"0.18\", expect_size=\"18929664\"] \n  10 -> 13 [size =\"18929664\"]\n  11 [size=\"102021120\", alpha=\"0.03\", expect_size=\"40808448\"] \n  11 -> 13 [size =\"40808448\"]\n  11 -> 14 [size =\"40808448\"]\n  12 [size=\"115573760\", alpha=\"0.04\", expect_size=\"46229504\"] \n  12 -> 13 [size =\"46229504\"]\n  13 [size=\"50536960\", alpha=\"0.16\", expect_size=\"20214784\"] \n  13 -> 16 [size =\"20214784\"]\n  14 [size=\"83317760\", alpha=\"0.19\", expect_size=\"33327104\"] \n  14 -> 15 [size =\"33327104\"]\n  15 [size=\"100807680\", alpha=\"0.16\", expect_size=\"40323072\"] \n  15 -> 17 [size =\"40323072\"]\n  15 -> 18 [size =\"40323072\"]\n  15 -> 19 [size =\"40323072\"]\n  16 [size=\"19335680\", alpha=\"0.15\", expect_size=\"7734272\"] \n  16 -> 17 [size =\"7734272\"]\n  16 -> 18 [size =\"7734272\"]\n  16 -> 19 [size =\"7734272\"]\n  17 [size=\"23902720\", alpha=\"0.18\", expect_size=\"9561088\"] \n  17 -> 20 [size =\"9561088\"]\n  17 -> 22 [size =\"9561088\"]\n  18 [size=\"15644160\", alpha=\"0.15\", expect_size=\"6257664\"] \n  18 -> 20 [size =\"6257664\"]\n  19 [size=\"120079360\", alpha=\"0.01\", expect_size=\"48031744\"] \n  19 -> 20 [size =\"48031744\"]\n  19 -> 21 [size =\"48031744\"]\n  19 -> 22 [size =\"48031744\"]\n  20 [size=\"72929280\", alpha=\"0.16\", expect_size=\"29171712\"] \n  20 -> 23 [size =\"29171712\"]\n  20 -> 24 [size =\"29171712\"]\n  21 [size=\"59194880\", alpha=\"0.03\", expect_size=\"23677952\"] \n  21 -> 23 [size =\"23677952\"]\n  21 -> 24 [size =\"23677952\"]\n  22 [size=\"74485760\", alpha=\"0.11\", expect_size=\"29794304\"] \n  22 -> 23 [size =\"29794304\"]\n  22 -> 24 [size =\"29794304\"]\n  22 -> 25 [size =\"29794304\"]\n  23 [size=\"95769600\", alpha=\"0.15\", expect_size=\"38307840\"] \n  23 -> 26 [size =\"38307840\"]\n  23 -> 27 [size =\"38307840\"]\n  23 -> 28 [size =\"38307840\"]\n  24 [size=\"69777920\", alpha=\"0.15\", expect_size=\"27911168\"] \n  24 -> 26 [size =\"27911168\"]\n  24 -> 27 [size =\"27911168\"]\n  25 [size=\"64204800\", alpha=\"0.02\", expect_size=\"25681920\"] \n  25 -> 26 [size =\"25681920\"]\n  25 -> 27 [size =\"25681920\"]\n  25 -> 28 [size =\"25681920\"]\n  26 [size=\"39132160\", alpha=\"0.04\", expect_size=\"15652864\"] \n  26 -> 29 [size =\"15652864\"]\n  26 -> 30 [size =\"15652864\"]\n  26 -> 31 [size =\"15652864\"]\n  27 [size=\"125406720\", alpha=\"0.06\", expect_size=\"50162688\"] \n  27 -> 29 [size =\"50162688\"]\n  27 -> 30 [size =\"50162688\"]\n  27 -> 31 [size =\"50162688\"]\n  28 [size=\"114931200\", alpha=\"0.04\", expect_size=\"45972480\"] \n  28 -> 29 [size =\"45972480\"]\n  28 -> 30 [size =\"45972480\"]\n  28 -> 31 [size =\"45972480\"]\n  29 [size=\"83184640\", alpha=\"0.12\", expect_size=\"33273856\"] \n  29 -> 33 [size =\"33273856\"]\n  29 -> 33 [size =\"33273856\"]\n  30 [size=\"88061440\", alpha=\"0.07\", expect_size=\"35224576\"] \n  31 [size=\"62348800\", alpha=\"0.16\", expect_size=\"24939520\"] \n  31 -> 32 [size =\"24939520\"]\n  31 -> 33 [size =\"24939520\"]\n  32 [size=\"80235520\", alpha=\"0.03\", expect_size=\"32094208\"] \n  32 -> 34 [size =\"32094208\"]\n  32 -> 35 [size =\"32094208\"]\n  32 -> 36 [size =\"32094208\"]\n  33 [size=\"25402880\", alpha=\"0.16\", expect_size=\"10161152\"] \n  33 -> 34 [size =\"10161152\"]\n  33 -> 35 [size =\"10161152\"]\n  33 -> 36 [size =\"10161152\"]\n  34 [size=\"112663040\", alpha=\"0.01\", expect_size=\"45065216\"] \n  34 -> 37 [size =\"45065216\"]\n  34 -> 38 [size =\"45065216\"]\n  34 -> 39 [size =\"45065216\"]\n  35 [size=\"82757120\", alpha=\"0.01\", expect_size=\"33102848\"] \n  35 -> 37 [size =\"33102848\"]\n  35 -> 39 [size =\"33102848\"]\n  36 [size=\"94955520\", alpha=\"0.02\", expect_size=\"37982208\"] \n  36 -> 37 [size =\"37982208\"]\n  36 -> 39 [size =\"37982208\"]\n  37 [size=\"120952320\", alpha=\"0.05\", expect_size=\"48380928\"] \n  37 -> 41 [size =\"48380928\"]\n  38 [size=\"39769600\", alpha=\"0.09\", expect_size=\"15907840\"] \n  38 -> 40 [size =\"15907840\"]\n  38 -> 41 [size =\"15907840\"]\n  39 [size=\"61032960\", alpha=\"0.10\", expect_size=\"24413184\"] \n  39 -> 40 [size =\"24413184\"]\n  39 -> 41 [size =\"24413184\"]\n  40 [size=\"15239680\", alpha=\"0.02\", expect_size=\"6095872\"] \n  40 -> 42 [size =\"6095872\"]\n  40 -> 43 [size =\"6095872\"]\n  41 [size=\"54568960\", alpha=\"0.01\", expect_size=\"21827584\"] \n  41 -> 43 [size =\"21827584\"]\n  42 [size=\"32007680\", alpha=\"0.11\", expect_size=\"12803072\"] \n  42 -> 44 [size =\"12803072\"]\n  43 [size=\"50022400\", alpha=\"0.15\", expect_size=\"20008960\"] \n  43 -> 44 [size =\"20008960\"]\n  43 -> 45 [size =\"20008960\"]\n  44 [size=\"28080640\", alpha=\"0.08\", expect_size=\"11232256\"] \n  45 [size=\"36395520\", alpha=\"0.10\", expect_size=\"14558208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11732992\", alpha=\"0.12\", expect_size=\"5866496\"] \n  1 -> 31 [size =\"5866496\"]\n  1 -> 37 [size =\"5866496\"]\n  1 -> 44 [size =\"5866496\"]\n  1 -> 45 [size =\"5866496\"]\n  2 [size=\"24999936\", alpha=\"0.10\", expect_size=\"12499968\"] \n  2 -> 29 [size =\"12499968\"]\n  2 -> 30 [size =\"12499968\"]\n  2 -> 33 [size =\"12499968\"]\n  2 -> 40 [size =\"12499968\"]\n  2 -> 42 [size =\"12499968\"]\n  2 -> 45 [size =\"12499968\"]\n  3 [size=\"96446464\", alpha=\"0.19\", expect_size=\"48223232\"] \n  3 -> 27 [size =\"48223232\"]\n  3 -> 28 [size =\"48223232\"]\n  3 -> 29 [size =\"48223232\"]\n  3 -> 30 [size =\"48223232\"]\n  3 -> 31 [size =\"48223232\"]\n  3 -> 33 [size =\"48223232\"]\n  3 -> 37 [size =\"48223232\"]\n  3 -> 45 [size =\"48223232\"]\n  4 [size=\"67751936\", alpha=\"0.06\", expect_size=\"33875968\"] \n  4 -> 27 [size =\"33875968\"]\n  4 -> 28 [size =\"33875968\"]\n  4 -> 31 [size =\"33875968\"]\n  4 -> 32 [size =\"33875968\"]\n  4 -> 35 [size =\"33875968\"]\n  4 -> 42 [size =\"33875968\"]\n  4 -> 45 [size =\"33875968\"]\n  4 -> 45 [size =\"33875968\"]\n  5 [size=\"77168640\", alpha=\"0.13\", expect_size=\"38584320\"] \n  5 -> 27 [size =\"38584320\"]\n  5 -> 28 [size =\"38584320\"]\n  5 -> 33 [size =\"38584320\"]\n  5 -> 34 [size =\"38584320\"]\n  5 -> 35 [size =\"38584320\"]\n  5 -> 36 [size =\"38584320\"]\n  5 -> 37 [size =\"38584320\"]\n  5 -> 39 [size =\"38584320\"]\n  5 -> 45 [size =\"38584320\"]\n  6 [size=\"56545280\", alpha=\"0.01\", expect_size=\"28272640\"] \n  6 -> 27 [size =\"28272640\"]\n  6 -> 28 [size =\"28272640\"]\n  6 -> 34 [size =\"28272640\"]\n  6 -> 39 [size =\"28272640\"]\n  6 -> 41 [size =\"28272640\"]\n  6 -> 45 [size =\"28272640\"]\n  7 [size=\"81719296\", alpha=\"0.09\", expect_size=\"40859648\"] \n  7 -> 28 [size =\"40859648\"]\n  7 -> 29 [size =\"40859648\"]\n  7 -> 31 [size =\"40859648\"]\n  7 -> 33 [size =\"40859648\"]\n  7 -> 35 [size =\"40859648\"]\n  7 -> 36 [size =\"40859648\"]\n  7 -> 41 [size =\"40859648\"]\n  7 -> 43 [size =\"40859648\"]\n  7 -> 45 [size =\"40859648\"]\n  8 [size=\"27977728\", alpha=\"0.11\", expect_size=\"13988864\"] \n  8 -> 27 [size =\"13988864\"]\n  8 -> 29 [size =\"13988864\"]\n  8 -> 37 [size =\"13988864\"]\n  8 -> 39 [size =\"13988864\"]\n  8 -> 40 [size =\"13988864\"]\n  8 -> 41 [size =\"13988864\"]\n  9 [size=\"28502016\", alpha=\"0.07\", expect_size=\"14251008\"] \n  9 -> 27 [size =\"14251008\"]\n  9 -> 28 [size =\"14251008\"]\n  9 -> 31 [size =\"14251008\"]\n  9 -> 34 [size =\"14251008\"]\n  9 -> 40 [size =\"14251008\"]\n  10 [size=\"35811328\", alpha=\"0.15\", expect_size=\"17905664\"] \n  10 -> 28 [size =\"17905664\"]\n  10 -> 29 [size =\"17905664\"]\n  10 -> 30 [size =\"17905664\"]\n  10 -> 31 [size =\"17905664\"]\n  10 -> 34 [size =\"17905664\"]\n  10 -> 35 [size =\"17905664\"]\n  10 -> 37 [size =\"17905664\"]\n  10 -> 41 [size =\"17905664\"]\n  10 -> 44 [size =\"17905664\"]\n  11 [size=\"34484224\", alpha=\"0.10\", expect_size=\"17242112\"] \n  11 -> 27 [size =\"17242112\"]\n  11 -> 29 [size =\"17242112\"]\n  11 -> 31 [size =\"17242112\"]\n  11 -> 33 [size =\"17242112\"]\n  11 -> 34 [size =\"17242112\"]\n  11 -> 35 [size =\"17242112\"]\n  11 -> 45 [size =\"17242112\"]\n  12 [size=\"90716160\", alpha=\"0.09\", expect_size=\"45358080\"] \n  12 -> 34 [size =\"45358080\"]\n  12 -> 36 [size =\"45358080\"]\n  12 -> 42 [size =\"45358080\"]\n  13 [size=\"41594880\", alpha=\"0.15\", expect_size=\"20797440\"] \n  13 -> 27 [size =\"20797440\"]\n  13 -> 30 [size =\"20797440\"]\n  13 -> 32 [size =\"20797440\"]\n  13 -> 34 [size =\"20797440\"]\n  13 -> 36 [size =\"20797440\"]\n  13 -> 40 [size =\"20797440\"]\n  14 [size=\"38955008\", alpha=\"0.01\", expect_size=\"19477504\"] \n  14 -> 27 [size =\"19477504\"]\n  14 -> 34 [size =\"19477504\"]\n  15 [size=\"68763648\", alpha=\"0.17\", expect_size=\"34381824\"] \n  15 -> 30 [size =\"34381824\"]\n  15 -> 31 [size =\"34381824\"]\n  15 -> 34 [size =\"34381824\"]\n  15 -> 41 [size =\"34381824\"]\n  16 [size=\"35098624\", alpha=\"0.18\", expect_size=\"17549312\"] \n  16 -> 27 [size =\"17549312\"]\n  16 -> 29 [size =\"17549312\"]\n  16 -> 31 [size =\"17549312\"]\n  16 -> 33 [size =\"17549312\"]\n  16 -> 37 [size =\"17549312\"]\n  16 -> 40 [size =\"17549312\"]\n  16 -> 41 [size =\"17549312\"]\n  16 -> 42 [size =\"17549312\"]\n  17 [size=\"41318400\", alpha=\"0.20\", expect_size=\"20659200\"] \n  17 -> 27 [size =\"20659200\"]\n  17 -> 29 [size =\"20659200\"]\n  17 -> 30 [size =\"20659200\"]\n  17 -> 33 [size =\"20659200\"]\n  17 -> 35 [size =\"20659200\"]\n  17 -> 36 [size =\"20659200\"]\n  17 -> 40 [size =\"20659200\"]\n  17 -> 41 [size =\"20659200\"]\n  17 -> 43 [size =\"20659200\"]\n  17 -> 45 [size =\"20659200\"]\n  18 [size=\"83949568\", alpha=\"0.15\", expect_size=\"41974784\"] \n  18 -> 27 [size =\"41974784\"]\n  18 -> 29 [size =\"41974784\"]\n  18 -> 30 [size =\"41974784\"]\n  18 -> 31 [size =\"41974784\"]\n  18 -> 33 [size =\"41974784\"]\n  18 -> 40 [size =\"41974784\"]\n  18 -> 41 [size =\"41974784\"]\n  18 -> 41 [size =\"41974784\"]\n  18 -> 42 [size =\"41974784\"]\n  18 -> 45 [size =\"41974784\"]\n  19 [size=\"41689088\", alpha=\"0.09\", expect_size=\"20844544\"] \n  19 -> 27 [size =\"20844544\"]\n  19 -> 30 [size =\"20844544\"]\n  19 -> 31 [size =\"20844544\"]\n  19 -> 33 [size =\"20844544\"]\n  19 -> 33 [size =\"20844544\"]\n  19 -> 34 [size =\"20844544\"]\n  19 -> 40 [size =\"20844544\"]\n  19 -> 41 [size =\"20844544\"]\n  19 -> 43 [size =\"20844544\"]\n  19 -> 44 [size =\"20844544\"]\n  19 -> 45 [size =\"20844544\"]\n  20 [size=\"74833920\", alpha=\"0.11\", expect_size=\"37416960\"] \n  20 -> 27 [size =\"37416960\"]\n  20 -> 34 [size =\"37416960\"]\n  20 -> 41 [size =\"37416960\"]\n  20 -> 42 [size =\"37416960\"]\n  21 [size=\"49166336\", alpha=\"0.12\", expect_size=\"24583168\"] \n  21 -> 27 [size =\"24583168\"]\n  21 -> 33 [size =\"24583168\"]\n  21 -> 34 [size =\"24583168\"]\n  21 -> 36 [size =\"24583168\"]\n  21 -> 41 [size =\"24583168\"]\n  21 -> 43 [size =\"24583168\"]\n  21 -> 45 [size =\"24583168\"]\n  22 [size=\"94040064\", alpha=\"0.17\", expect_size=\"47020032\"] \n  22 -> 28 [size =\"47020032\"]\n  22 -> 29 [size =\"47020032\"]\n  22 -> 32 [size =\"47020032\"]\n  22 -> 34 [size =\"47020032\"]\n  22 -> 35 [size =\"47020032\"]\n  22 -> 36 [size =\"47020032\"]\n  22 -> 37 [size =\"47020032\"]\n  22 -> 41 [size =\"47020032\"]\n  22 -> 45 [size =\"47020032\"]\n  23 [size=\"40347648\", alpha=\"0.00\", expect_size=\"20173824\"] \n  23 -> 29 [size =\"20173824\"]\n  23 -> 30 [size =\"20173824\"]\n  23 -> 31 [size =\"20173824\"]\n  23 -> 33 [size =\"20173824\"]\n  23 -> 34 [size =\"20173824\"]\n  23 -> 35 [size =\"20173824\"]\n  23 -> 36 [size =\"20173824\"]\n  23 -> 37 [size =\"20173824\"]\n  23 -> 40 [size =\"20173824\"]\n  23 -> 41 [size =\"20173824\"]\n  23 -> 43 [size =\"20173824\"]\n  23 -> 45 [size =\"20173824\"]\n  24 [size=\"15564800\", alpha=\"0.15\", expect_size=\"7782400\"] \n  24 -> 27 [size =\"7782400\"]\n  24 -> 28 [size =\"7782400\"]\n  24 -> 30 [size =\"7782400\"]\n  24 -> 31 [size =\"7782400\"]\n  24 -> 33 [size =\"7782400\"]\n  24 -> 34 [size =\"7782400\"]\n  24 -> 35 [size =\"7782400\"]\n  24 -> 36 [size =\"7782400\"]\n  24 -> 37 [size =\"7782400\"]\n  24 -> 40 [size =\"7782400\"]\n  24 -> 41 [size =\"7782400\"]\n  24 -> 42 [size =\"7782400\"]\n  24 -> 43 [size =\"7782400\"]\n  24 -> 45 [size =\"7782400\"]\n  25 [size=\"18139136\", alpha=\"0.04\", expect_size=\"9069568\"] \n  25 -> 27 [size =\"9069568\"]\n  25 -> 33 [size =\"9069568\"]\n  25 -> 34 [size =\"9069568\"]\n  25 -> 35 [size =\"9069568\"]\n  25 -> 36 [size =\"9069568\"]\n  25 -> 37 [size =\"9069568\"]\n  25 -> 38 [size =\"9069568\"]\n  25 -> 41 [size =\"9069568\"]\n  25 -> 45 [size =\"9069568\"]\n  26 [size=\"100487168\", alpha=\"0.04\", expect_size=\"50243584\"] \n  26 -> 27 [size =\"50243584\"]\n  26 -> 28 [size =\"50243584\"]\n  26 -> 30 [size =\"50243584\"]\n  26 -> 31 [size =\"50243584\"]\n  26 -> 33 [size =\"50243584\"]\n  26 -> 34 [size =\"50243584\"]\n  26 -> 41 [size =\"50243584\"]\n  26 -> 42 [size =\"50243584\"]\n  26 -> 44 [size =\"50243584\"]\n  26 -> 45 [size =\"50243584\"]\n  27 [size=\"89440256\", alpha=\"0.18\", expect_size=\"44720128\"] \n  28 [size=\"89384960\", alpha=\"0.15\", expect_size=\"44692480\"] \n  29 [size=\"67923968\", alpha=\"0.17\", expect_size=\"33961984\"] \n  30 [size=\"16717824\", alpha=\"0.04\", expect_size=\"8358912\"] \n  31 [size=\"66695168\", alpha=\"0.16\", expect_size=\"33347584\"] \n  32 [size=\"30363648\", alpha=\"0.05\", expect_size=\"15181824\"] \n  33 [size=\"16609280\", alpha=\"0.01\", expect_size=\"8304640\"] \n  34 [size=\"17016832\", alpha=\"0.03\", expect_size=\"8508416\"] \n  35 [size=\"88858624\", alpha=\"0.17\", expect_size=\"44429312\"] \n  36 [size=\"15699968\", alpha=\"0.16\", expect_size=\"7849984\"] \n  37 [size=\"32346112\", alpha=\"0.02\", expect_size=\"16173056\"] \n  38 [size=\"21286912\", alpha=\"0.03\", expect_size=\"10643456\"] \n  39 [size=\"94390272\", alpha=\"0.11\", expect_size=\"47195136\"] \n  40 [size=\"80924672\", alpha=\"0.13\", expect_size=\"40462336\"] \n  41 [size=\"100591616\", alpha=\"0.03\", expect_size=\"50295808\"] \n  42 [size=\"83017728\", alpha=\"0.11\", expect_size=\"41508864\"] \n  43 [size=\"14061568\", alpha=\"0.04\", expect_size=\"7030784\"] \n  44 [size=\"19206144\", alpha=\"0.19\", expect_size=\"9603072\"] \n  45 [size=\"32546816\", alpha=\"0.16\", expect_size=\"16273408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33522347\", alpha=\"0.01\", expect_size=\"10056704\"] \n  1 -> 11 [size =\"10056704\"]\n  1 -> 16 [size =\"10056704\"]\n  1 -> 17 [size =\"10056704\"]\n  2 [size=\"100761600\", alpha=\"0.20\", expect_size=\"30228480\"] \n  2 -> 11 [size =\"30228480\"]\n  2 -> 15 [size =\"30228480\"]\n  2 -> 16 [size =\"30228480\"]\n  3 [size=\"165236053\", alpha=\"0.08\", expect_size=\"49570816\"] \n  3 -> 10 [size =\"49570816\"]\n  3 -> 11 [size =\"49570816\"]\n  3 -> 14 [size =\"49570816\"]\n  3 -> 16 [size =\"49570816\"]\n  3 -> 18 [size =\"49570816\"]\n  4 [size=\"127563093\", alpha=\"0.10\", expect_size=\"38268928\"] \n  4 -> 10 [size =\"38268928\"]\n  4 -> 11 [size =\"38268928\"]\n  4 -> 12 [size =\"38268928\"]\n  4 -> 15 [size =\"38268928\"]\n  4 -> 17 [size =\"38268928\"]\n  4 -> 19 [size =\"38268928\"]\n  5 [size=\"21889707\", alpha=\"0.08\", expect_size=\"6566912\"] \n  5 -> 11 [size =\"6566912\"]\n  5 -> 13 [size =\"6566912\"]\n  5 -> 14 [size =\"6566912\"]\n  5 -> 16 [size =\"6566912\"]\n  5 -> 17 [size =\"6566912\"]\n  6 [size=\"160989867\", alpha=\"0.17\", expect_size=\"48296960\"] \n  6 -> 9 [size =\"48296960\"]\n  6 -> 10 [size =\"48296960\"]\n  6 -> 12 [size =\"48296960\"]\n  6 -> 13 [size =\"48296960\"]\n  6 -> 14 [size =\"48296960\"]\n  6 -> 15 [size =\"48296960\"]\n  6 -> 16 [size =\"48296960\"]\n  7 [size=\"165638827\", alpha=\"0.00\", expect_size=\"49691648\"] \n  7 -> 12 [size =\"49691648\"]\n  7 -> 14 [size =\"49691648\"]\n  7 -> 15 [size =\"49691648\"]\n  8 [size=\"115998720\", alpha=\"0.01\", expect_size=\"34799616\"] \n  8 -> 11 [size =\"34799616\"]\n  8 -> 12 [size =\"34799616\"]\n  8 -> 13 [size =\"34799616\"]\n  8 -> 14 [size =\"34799616\"]\n  9 [size=\"161163947\", alpha=\"0.03\", expect_size=\"48349184\"] \n  9 -> 26 [size =\"48349184\"]\n  10 [size=\"53210453\", alpha=\"0.11\", expect_size=\"15963136\"] \n  10 -> 20 [size =\"15963136\"]\n  10 -> 22 [size =\"15963136\"]\n  10 -> 25 [size =\"15963136\"]\n  11 [size=\"47779840\", alpha=\"0.14\", expect_size=\"14333952\"] \n  11 -> 22 [size =\"14333952\"]\n  11 -> 23 [size =\"14333952\"]\n  11 -> 25 [size =\"14333952\"]\n  11 -> 27 [size =\"14333952\"]\n  12 [size=\"58965333\", alpha=\"0.04\", expect_size=\"17689600\"] \n  12 -> 20 [size =\"17689600\"]\n  12 -> 23 [size =\"17689600\"]\n  12 -> 25 [size =\"17689600\"]\n  12 -> 27 [size =\"17689600\"]\n  13 [size=\"57794560\", alpha=\"0.06\", expect_size=\"17338368\"] \n  13 -> 23 [size =\"17338368\"]\n  13 -> 25 [size =\"17338368\"]\n  13 -> 27 [size =\"17338368\"]\n  14 [size=\"124026880\", alpha=\"0.11\", expect_size=\"37208064\"] \n  15 [size=\"46684160\", alpha=\"0.09\", expect_size=\"14005248\"] \n  15 -> 21 [size =\"14005248\"]\n  15 -> 23 [size =\"14005248\"]\n  15 -> 26 [size =\"14005248\"]\n  16 [size=\"108288000\", alpha=\"0.04\", expect_size=\"32486400\"] \n  16 -> 21 [size =\"32486400\"]\n  16 -> 23 [size =\"32486400\"]\n  16 -> 27 [size =\"32486400\"]\n  17 [size=\"86251520\", alpha=\"0.09\", expect_size=\"25875456\"] \n  17 -> 22 [size =\"25875456\"]\n  17 -> 24 [size =\"25875456\"]\n  17 -> 25 [size =\"25875456\"]\n  17 -> 27 [size =\"25875456\"]\n  18 [size=\"88459947\", alpha=\"0.11\", expect_size=\"26537984\"] \n  18 -> 21 [size =\"26537984\"]\n  18 -> 25 [size =\"26537984\"]\n  18 -> 25 [size =\"26537984\"]\n  18 -> 26 [size =\"26537984\"]\n  19 [size=\"94839467\", alpha=\"0.17\", expect_size=\"28451840\"] \n  19 -> 21 [size =\"28451840\"]\n  19 -> 22 [size =\"28451840\"]\n  20 [size=\"116172800\", alpha=\"0.07\", expect_size=\"34851840\"] \n  20 -> 29 [size =\"34851840\"]\n  20 -> 31 [size =\"34851840\"]\n  20 -> 32 [size =\"34851840\"]\n  20 -> 34 [size =\"34851840\"]\n  20 -> 37 [size =\"34851840\"]\n  20 -> 39 [size =\"34851840\"]\n  21 [size=\"41533440\", alpha=\"0.18\", expect_size=\"12460032\"] \n  21 -> 28 [size =\"12460032\"]\n  21 -> 29 [size =\"12460032\"]\n  21 -> 30 [size =\"12460032\"]\n  21 -> 31 [size =\"12460032\"]\n  21 -> 33 [size =\"12460032\"]\n  21 -> 36 [size =\"12460032\"]\n  22 [size=\"152589653\", alpha=\"0.19\", expect_size=\"45776896\"] \n  22 -> 29 [size =\"45776896\"]\n  22 -> 30 [size =\"45776896\"]\n  22 -> 31 [size =\"45776896\"]\n  22 -> 31 [size =\"45776896\"]\n  22 -> 35 [size =\"45776896\"]\n  22 -> 36 [size =\"45776896\"]\n  23 [size=\"24531627\", alpha=\"0.20\", expect_size=\"7359488\"] \n  23 -> 35 [size =\"7359488\"]\n  23 -> 38 [size =\"7359488\"]\n  24 [size=\"69181440\", alpha=\"0.14\", expect_size=\"20754432\"] \n  24 -> 29 [size =\"20754432\"]\n  24 -> 32 [size =\"20754432\"]\n  24 -> 34 [size =\"20754432\"]\n  24 -> 35 [size =\"20754432\"]\n  24 -> 36 [size =\"20754432\"]\n  24 -> 37 [size =\"20754432\"]\n  25 [size=\"156596907\", alpha=\"0.09\", expect_size=\"46979072\"] \n  25 -> 29 [size =\"46979072\"]\n  25 -> 34 [size =\"46979072\"]\n  25 -> 35 [size =\"46979072\"]\n  25 -> 36 [size =\"46979072\"]\n  25 -> 37 [size =\"46979072\"]\n  26 [size=\"72000853\", alpha=\"0.03\", expect_size=\"21600256\"] \n  26 -> 30 [size =\"21600256\"]\n  26 -> 33 [size =\"21600256\"]\n  26 -> 34 [size =\"21600256\"]\n  26 -> 35 [size =\"21600256\"]\n  26 -> 36 [size =\"21600256\"]\n  26 -> 37 [size =\"21600256\"]\n  26 -> 39 [size =\"21600256\"]\n  27 [size=\"103379627\", alpha=\"0.15\", expect_size=\"31013888\"] \n  27 -> 28 [size =\"31013888\"]\n  27 -> 31 [size =\"31013888\"]\n  27 -> 32 [size =\"31013888\"]\n  27 -> 34 [size =\"31013888\"]\n  27 -> 36 [size =\"31013888\"]\n  27 -> 37 [size =\"31013888\"]\n  27 -> 39 [size =\"31013888\"]\n  28 [size=\"173789867\", alpha=\"0.19\", expect_size=\"52136960\"] \n  28 -> 40 [size =\"52136960\"]\n  28 -> 44 [size =\"52136960\"]\n  28 -> 44 [size =\"52136960\"]\n  29 [size=\"101956267\", alpha=\"0.02\", expect_size=\"30586880\"] \n  29 -> 45 [size =\"30586880\"]\n  30 [size=\"81848320\", alpha=\"0.10\", expect_size=\"24554496\"] \n  30 -> 41 [size =\"24554496\"]\n  30 -> 42 [size =\"24554496\"]\n  30 -> 45 [size =\"24554496\"]\n  31 [size=\"132993707\", alpha=\"0.01\", expect_size=\"39898112\"] \n  31 -> 41 [size =\"39898112\"]\n  31 -> 45 [size =\"39898112\"]\n  31 -> 45 [size =\"39898112\"]\n  32 [size=\"114145280\", alpha=\"0.18\", expect_size=\"34243584\"] \n  33 [size=\"108591787\", alpha=\"0.19\", expect_size=\"32577536\"] \n  33 -> 43 [size =\"32577536\"]\n  33 -> 44 [size =\"32577536\"]\n  34 [size=\"106810027\", alpha=\"0.15\", expect_size=\"32043008\"] \n  34 -> 43 [size =\"32043008\"]\n  34 -> 44 [size =\"32043008\"]\n  35 [size=\"61600427\", alpha=\"0.14\", expect_size=\"18480128\"] \n  35 -> 44 [size =\"18480128\"]\n  35 -> 44 [size =\"18480128\"]\n  36 [size=\"134669653\", alpha=\"0.04\", expect_size=\"40400896\"] \n  36 -> 45 [size =\"40400896\"]\n  37 [size=\"154958507\", alpha=\"0.04\", expect_size=\"46487552\"] \n  37 -> 44 [size =\"46487552\"]\n  38 [size=\"113343147\", alpha=\"0.12\", expect_size=\"34002944\"] \n  38 -> 44 [size =\"34002944\"]\n  39 [size=\"108346027\", alpha=\"0.10\", expect_size=\"32503808\"] \n  39 -> 40 [size =\"32503808\"]\n  39 -> 42 [size =\"32503808\"]\n  39 -> 44 [size =\"32503808\"]\n  39 -> 45 [size =\"32503808\"]\n  40 [size=\"126368427\", alpha=\"0.01\", expect_size=\"37910528\"] \n  41 [size=\"45864960\", alpha=\"0.14\", expect_size=\"13759488\"] \n  42 [size=\"54422187\", alpha=\"0.05\", expect_size=\"16326656\"] \n  43 [size=\"36246187\", alpha=\"0.17\", expect_size=\"10873856\"] \n  44 [size=\"31662080\", alpha=\"0.16\", expect_size=\"9498624\"] \n  45 [size=\"147220480\", alpha=\"0.12\", expect_size=\"44166144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120878080\", alpha=\"0.12\", expect_size=\"48351232\"] \n  1 -> 2 [size =\"48351232\"]\n  2 [size=\"127403520\", alpha=\"0.16\", expect_size=\"50961408\"] \n  2 -> 3 [size =\"50961408\"]\n  3 [size=\"75013120\", alpha=\"0.12\", expect_size=\"30005248\"] \n  3 -> 4 [size =\"30005248\"]\n  4 [size=\"37621760\", alpha=\"0.11\", expect_size=\"15048704\"] \n  4 -> 5 [size =\"15048704\"]\n  5 [size=\"42920960\", alpha=\"0.06\", expect_size=\"17168384\"] \n  5 -> 6 [size =\"17168384\"]\n  6 [size=\"47705600\", alpha=\"0.16\", expect_size=\"19082240\"] \n  6 -> 7 [size =\"19082240\"]\n  7 [size=\"128020480\", alpha=\"0.08\", expect_size=\"51208192\"] \n  7 -> 8 [size =\"51208192\"]\n  8 [size=\"129799680\", alpha=\"0.07\", expect_size=\"51919872\"] \n  8 -> 9 [size =\"51919872\"]\n  9 [size=\"91717120\", alpha=\"0.10\", expect_size=\"36686848\"] \n  9 -> 10 [size =\"36686848\"]\n  10 [size=\"114122240\", alpha=\"0.01\", expect_size=\"45648896\"] \n  10 -> 11 [size =\"45648896\"]\n  11 [size=\"80637440\", alpha=\"0.05\", expect_size=\"32254976\"] \n  11 -> 12 [size =\"32254976\"]\n  12 [size=\"32232960\", alpha=\"0.15\", expect_size=\"12893184\"] \n  12 -> 13 [size =\"12893184\"]\n  13 [size=\"127493120\", alpha=\"0.02\", expect_size=\"50997248\"] \n  13 -> 14 [size =\"50997248\"]\n  14 [size=\"77486080\", alpha=\"0.03\", expect_size=\"30994432\"] \n  14 -> 15 [size =\"30994432\"]\n  15 [size=\"24686080\", alpha=\"0.14\", expect_size=\"9874432\"] \n  15 -> 16 [size =\"9874432\"]\n  16 [size=\"57984000\", alpha=\"0.07\", expect_size=\"23193600\"] \n  16 -> 17 [size =\"23193600\"]\n  17 [size=\"37281280\", alpha=\"0.04\", expect_size=\"14912512\"] \n  17 -> 18 [size =\"14912512\"]\n  18 [size=\"84152320\", alpha=\"0.19\", expect_size=\"33660928\"] \n  18 -> 19 [size =\"33660928\"]\n  19 [size=\"128186880\", alpha=\"0.13\", expect_size=\"51274752\"] \n  19 -> 20 [size =\"51274752\"]\n  20 [size=\"69063680\", alpha=\"0.11\", expect_size=\"27625472\"] \n  20 -> 21 [size =\"27625472\"]\n  21 [size=\"72035840\", alpha=\"0.08\", expect_size=\"28814336\"] \n  21 -> 22 [size =\"28814336\"]\n  22 [size=\"100682240\", alpha=\"0.04\", expect_size=\"40272896\"] \n  22 -> 23 [size =\"40272896\"]\n  23 [size=\"71572480\", alpha=\"0.11\", expect_size=\"28628992\"] \n  23 -> 24 [size =\"28628992\"]\n  24 [size=\"84433920\", alpha=\"0.02\", expect_size=\"33773568\"] \n  24 -> 25 [size =\"33773568\"]\n  25 [size=\"104655360\", alpha=\"0.18\", expect_size=\"41862144\"] \n  25 -> 26 [size =\"41862144\"]\n  26 [size=\"71523840\", alpha=\"0.19\", expect_size=\"28609536\"] \n  26 -> 27 [size =\"28609536\"]\n  27 [size=\"109967360\", alpha=\"0.01\", expect_size=\"43986944\"] \n  27 -> 28 [size =\"43986944\"]\n  28 [size=\"17976320\", alpha=\"0.02\", expect_size=\"7190528\"] \n  28 -> 29 [size =\"7190528\"]\n  29 [size=\"129425920\", alpha=\"0.16\", expect_size=\"51770368\"] \n  29 -> 30 [size =\"51770368\"]\n  30 [size=\"86845440\", alpha=\"0.07\", expect_size=\"34738176\"] \n  30 -> 31 [size =\"34738176\"]\n  31 [size=\"35532800\", alpha=\"0.10\", expect_size=\"14213120\"] \n  31 -> 32 [size =\"14213120\"]\n  32 [size=\"83264000\", alpha=\"0.16\", expect_size=\"33305600\"] \n  32 -> 33 [size =\"33305600\"]\n  33 [size=\"108405760\", alpha=\"0.02\", expect_size=\"43362304\"] \n  33 -> 34 [size =\"43362304\"]\n  34 [size=\"54901760\", alpha=\"0.19\", expect_size=\"21960704\"] \n  34 -> 35 [size =\"21960704\"]\n  35 [size=\"65231360\", alpha=\"0.17\", expect_size=\"26092544\"] \n  35 -> 36 [size =\"26092544\"]\n  36 [size=\"51246080\", alpha=\"0.03\", expect_size=\"20498432\"] \n  36 -> 37 [size =\"20498432\"]\n  37 [size=\"47544320\", alpha=\"0.13\", expect_size=\"19017728\"] \n  37 -> 38 [size =\"19017728\"]\n  38 [size=\"51079680\", alpha=\"0.15\", expect_size=\"20431872\"] \n  38 -> 39 [size =\"20431872\"]\n  39 [size=\"60577280\", alpha=\"0.17\", expect_size=\"24230912\"] \n  39 -> 40 [size =\"24230912\"]\n  40 [size=\"36682240\", alpha=\"0.08\", expect_size=\"14672896\"] \n  40 -> 41 [size =\"14672896\"]\n  41 [size=\"80414720\", alpha=\"0.09\", expect_size=\"32165888\"] \n  41 -> 42 [size =\"32165888\"]\n  42 [size=\"23370240\", alpha=\"0.05\", expect_size=\"9348096\"] \n  42 -> 43 [size =\"9348096\"]\n  43 [size=\"120609280\", alpha=\"0.11\", expect_size=\"48243712\"] \n  43 -> 44 [size =\"48243712\"]\n  44 [size=\"14658560\", alpha=\"0.09\", expect_size=\"5863424\"] \n  44 -> 45 [size =\"5863424\"]\n  45 [size=\"123793920\", alpha=\"0.03\", expect_size=\"49517568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91665920\", alpha=\"0.20\", expect_size=\"36666368\"] \n  1 -> 15 [size =\"36666368\"]\n  1 -> 16 [size =\"36666368\"]\n  1 -> 18 [size =\"36666368\"]\n  1 -> 22 [size =\"36666368\"]\n  1 -> 23 [size =\"36666368\"]\n  1 -> 24 [size =\"36666368\"]\n  1 -> 27 [size =\"36666368\"]\n  2 [size=\"86156800\", alpha=\"0.05\", expect_size=\"34462720\"] \n  2 -> 15 [size =\"34462720\"]\n  2 -> 19 [size =\"34462720\"]\n  2 -> 21 [size =\"34462720\"]\n  2 -> 22 [size =\"34462720\"]\n  2 -> 23 [size =\"34462720\"]\n  2 -> 24 [size =\"34462720\"]\n  3 [size=\"108853760\", alpha=\"0.12\", expect_size=\"43541504\"] \n  3 -> 15 [size =\"43541504\"]\n  3 -> 16 [size =\"43541504\"]\n  3 -> 19 [size =\"43541504\"]\n  3 -> 22 [size =\"43541504\"]\n  4 [size=\"95060480\", alpha=\"0.13\", expect_size=\"38024192\"] \n  4 -> 15 [size =\"38024192\"]\n  4 -> 19 [size =\"38024192\"]\n  4 -> 22 [size =\"38024192\"]\n  5 [size=\"83863040\", alpha=\"0.11\", expect_size=\"33545216\"] \n  5 -> 16 [size =\"33545216\"]\n  5 -> 17 [size =\"33545216\"]\n  5 -> 19 [size =\"33545216\"]\n  5 -> 20 [size =\"33545216\"]\n  6 [size=\"91701760\", alpha=\"0.14\", expect_size=\"36680704\"] \n  6 -> 16 [size =\"36680704\"]\n  6 -> 17 [size =\"36680704\"]\n  6 -> 27 [size =\"36680704\"]\n  7 [size=\"123796480\", alpha=\"0.08\", expect_size=\"49518592\"] \n  7 -> 16 [size =\"49518592\"]\n  7 -> 18 [size =\"49518592\"]\n  7 -> 25 [size =\"49518592\"]\n  7 -> 26 [size =\"49518592\"]\n  8 [size=\"89425920\", alpha=\"0.19\", expect_size=\"35770368\"] \n  8 -> 16 [size =\"35770368\"]\n  8 -> 18 [size =\"35770368\"]\n  8 -> 20 [size =\"35770368\"]\n  8 -> 24 [size =\"35770368\"]\n  8 -> 27 [size =\"35770368\"]\n  9 [size=\"113820160\", alpha=\"0.03\", expect_size=\"45528064\"] \n  9 -> 17 [size =\"45528064\"]\n  9 -> 18 [size =\"45528064\"]\n  9 -> 21 [size =\"45528064\"]\n  9 -> 22 [size =\"45528064\"]\n  9 -> 23 [size =\"45528064\"]\n  9 -> 24 [size =\"45528064\"]\n  9 -> 26 [size =\"45528064\"]\n  10 [size=\"103211520\", alpha=\"0.12\", expect_size=\"41284608\"] \n  10 -> 17 [size =\"41284608\"]\n  10 -> 22 [size =\"41284608\"]\n  10 -> 24 [size =\"41284608\"]\n  10 -> 25 [size =\"41284608\"]\n  10 -> 27 [size =\"41284608\"]\n  11 [size=\"82964480\", alpha=\"0.16\", expect_size=\"33185792\"] \n  11 -> 22 [size =\"33185792\"]\n  11 -> 24 [size =\"33185792\"]\n  12 [size=\"80350720\", alpha=\"0.01\", expect_size=\"32140288\"] \n  12 -> 15 [size =\"32140288\"]\n  12 -> 18 [size =\"32140288\"]\n  12 -> 20 [size =\"32140288\"]\n  12 -> 24 [size =\"32140288\"]\n  13 [size=\"108986880\", alpha=\"0.02\", expect_size=\"43594752\"] \n  13 -> 18 [size =\"43594752\"]\n  13 -> 21 [size =\"43594752\"]\n  13 -> 22 [size =\"43594752\"]\n  13 -> 24 [size =\"43594752\"]\n  14 [size=\"59069440\", alpha=\"0.04\", expect_size=\"23627776\"] \n  14 -> 15 [size =\"23627776\"]\n  14 -> 16 [size =\"23627776\"]\n  14 -> 18 [size =\"23627776\"]\n  14 -> 19 [size =\"23627776\"]\n  14 -> 21 [size =\"23627776\"]\n  14 -> 24 [size =\"23627776\"]\n  15 [size=\"18319360\", alpha=\"0.19\", expect_size=\"7327744\"] \n  15 -> 28 [size =\"7327744\"]\n  15 -> 30 [size =\"7327744\"]\n  15 -> 35 [size =\"7327744\"]\n  15 -> 39 [size =\"7327744\"]\n  15 -> 41 [size =\"7327744\"]\n  15 -> 43 [size =\"7327744\"]\n  16 [size=\"85736960\", alpha=\"0.19\", expect_size=\"34294784\"] \n  16 -> 29 [size =\"34294784\"]\n  16 -> 30 [size =\"34294784\"]\n  16 -> 31 [size =\"34294784\"]\n  16 -> 38 [size =\"34294784\"]\n  16 -> 40 [size =\"34294784\"]\n  16 -> 41 [size =\"34294784\"]\n  16 -> 44 [size =\"34294784\"]\n  17 [size=\"48716800\", alpha=\"0.02\", expect_size=\"19486720\"] \n  17 -> 29 [size =\"19486720\"]\n  17 -> 30 [size =\"19486720\"]\n  17 -> 35 [size =\"19486720\"]\n  17 -> 41 [size =\"19486720\"]\n  17 -> 45 [size =\"19486720\"]\n  18 [size=\"96896000\", alpha=\"0.11\", expect_size=\"38758400\"] \n  18 -> 29 [size =\"38758400\"]\n  18 -> 30 [size =\"38758400\"]\n  18 -> 33 [size =\"38758400\"]\n  18 -> 34 [size =\"38758400\"]\n  18 -> 35 [size =\"38758400\"]\n  18 -> 36 [size =\"38758400\"]\n  18 -> 37 [size =\"38758400\"]\n  18 -> 39 [size =\"38758400\"]\n  18 -> 41 [size =\"38758400\"]\n  18 -> 42 [size =\"38758400\"]\n  18 -> 44 [size =\"38758400\"]\n  18 -> 45 [size =\"38758400\"]\n  19 [size=\"90375680\", alpha=\"0.19\", expect_size=\"36150272\"] \n  19 -> 29 [size =\"36150272\"]\n  19 -> 30 [size =\"36150272\"]\n  19 -> 31 [size =\"36150272\"]\n  19 -> 35 [size =\"36150272\"]\n  19 -> 37 [size =\"36150272\"]\n  19 -> 38 [size =\"36150272\"]\n  19 -> 41 [size =\"36150272\"]\n  19 -> 44 [size =\"36150272\"]\n  20 [size=\"107502080\", alpha=\"0.17\", expect_size=\"43000832\"] \n  20 -> 29 [size =\"43000832\"]\n  20 -> 31 [size =\"43000832\"]\n  20 -> 35 [size =\"43000832\"]\n  20 -> 37 [size =\"43000832\"]\n  20 -> 41 [size =\"43000832\"]\n  20 -> 42 [size =\"43000832\"]\n  20 -> 43 [size =\"43000832\"]\n  20 -> 44 [size =\"43000832\"]\n  20 -> 45 [size =\"43000832\"]\n  21 [size=\"61224960\", alpha=\"0.09\", expect_size=\"24489984\"] \n  21 -> 29 [size =\"24489984\"]\n  21 -> 30 [size =\"24489984\"]\n  21 -> 40 [size =\"24489984\"]\n  21 -> 44 [size =\"24489984\"]\n  22 [size=\"38269440\", alpha=\"0.13\", expect_size=\"15307776\"] \n  22 -> 28 [size =\"15307776\"]\n  22 -> 29 [size =\"15307776\"]\n  22 -> 32 [size =\"15307776\"]\n  22 -> 40 [size =\"15307776\"]\n  22 -> 42 [size =\"15307776\"]\n  23 [size=\"44423680\", alpha=\"0.13\", expect_size=\"17769472\"] \n  23 -> 28 [size =\"17769472\"]\n  23 -> 41 [size =\"17769472\"]\n  23 -> 42 [size =\"17769472\"]\n  23 -> 44 [size =\"17769472\"]\n  23 -> 45 [size =\"17769472\"]\n  24 [size=\"53560320\", alpha=\"0.08\", expect_size=\"21424128\"] \n  24 -> 30 [size =\"21424128\"]\n  24 -> 31 [size =\"21424128\"]\n  24 -> 35 [size =\"21424128\"]\n  24 -> 42 [size =\"21424128\"]\n  24 -> 43 [size =\"21424128\"]\n  25 [size=\"77114880\", alpha=\"0.14\", expect_size=\"30845952\"] \n  25 -> 38 [size =\"30845952\"]\n  25 -> 40 [size =\"30845952\"]\n  25 -> 41 [size =\"30845952\"]\n  25 -> 42 [size =\"30845952\"]\n  25 -> 44 [size =\"30845952\"]\n  26 [size=\"68554240\", alpha=\"0.14\", expect_size=\"27421696\"] \n  26 -> 40 [size =\"27421696\"]\n  26 -> 42 [size =\"27421696\"]\n  27 [size=\"63628800\", alpha=\"0.12\", expect_size=\"25451520\"] \n  27 -> 28 [size =\"25451520\"]\n  27 -> 29 [size =\"25451520\"]\n  27 -> 30 [size =\"25451520\"]\n  27 -> 31 [size =\"25451520\"]\n  27 -> 33 [size =\"25451520\"]\n  27 -> 35 [size =\"25451520\"]\n  27 -> 39 [size =\"25451520\"]\n  28 [size=\"77744640\", alpha=\"0.03\", expect_size=\"31097856\"] \n  29 [size=\"23385600\", alpha=\"0.12\", expect_size=\"9354240\"] \n  30 [size=\"15782400\", alpha=\"0.15\", expect_size=\"6312960\"] \n  31 [size=\"116887040\", alpha=\"0.11\", expect_size=\"46754816\"] \n  32 [size=\"51371520\", alpha=\"0.18\", expect_size=\"20548608\"] \n  33 [size=\"128212480\", alpha=\"0.01\", expect_size=\"51284992\"] \n  34 [size=\"89262080\", alpha=\"0.12\", expect_size=\"35704832\"] \n  35 [size=\"16476160\", alpha=\"0.03\", expect_size=\"6590464\"] \n  36 [size=\"98575360\", alpha=\"0.08\", expect_size=\"39430144\"] \n  37 [size=\"60262400\", alpha=\"0.18\", expect_size=\"24104960\"] \n  38 [size=\"130193920\", alpha=\"0.02\", expect_size=\"52077568\"] \n  39 [size=\"30794240\", alpha=\"0.20\", expect_size=\"12317696\"] \n  40 [size=\"98711040\", alpha=\"0.13\", expect_size=\"39484416\"] \n  41 [size=\"70149120\", alpha=\"0.15\", expect_size=\"28059648\"] \n  42 [size=\"14973440\", alpha=\"0.01\", expect_size=\"5989376\"] \n  43 [size=\"118389760\", alpha=\"0.12\", expect_size=\"47355904\"] \n  44 [size=\"122391040\", alpha=\"0.10\", expect_size=\"48956416\"] \n  45 [size=\"72934400\", alpha=\"0.19\", expect_size=\"29173760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93590187\", alpha=\"0.08\", expect_size=\"28077056\"] \n  1 -> 6 [size =\"28077056\"]\n  1 -> 7 [size =\"28077056\"]\n  1 -> 8 [size =\"28077056\"]\n  1 -> 10 [size =\"28077056\"]\n  2 [size=\"96262827\", alpha=\"0.13\", expect_size=\"28878848\"] \n  2 -> 9 [size =\"28878848\"]\n  2 -> 10 [size =\"28878848\"]\n  2 -> 11 [size =\"28878848\"]\n  3 [size=\"21159253\", alpha=\"0.02\", expect_size=\"6347776\"] \n  3 -> 7 [size =\"6347776\"]\n  3 -> 8 [size =\"6347776\"]\n  3 -> 11 [size =\"6347776\"]\n  4 [size=\"105239893\", alpha=\"0.07\", expect_size=\"31571968\"] \n  4 -> 6 [size =\"31571968\"]\n  4 -> 7 [size =\"31571968\"]\n  4 -> 11 [size =\"31571968\"]\n  5 [size=\"25842347\", alpha=\"0.03\", expect_size=\"7752704\"] \n  5 -> 9 [size =\"7752704\"]\n  5 -> 11 [size =\"7752704\"]\n  6 [size=\"114018987\", alpha=\"0.17\", expect_size=\"34205696\"] \n  6 -> 15 [size =\"34205696\"]\n  6 -> 16 [size =\"34205696\"]\n  7 [size=\"57395200\", alpha=\"0.16\", expect_size=\"17218560\"] \n  7 -> 12 [size =\"17218560\"]\n  7 -> 13 [size =\"17218560\"]\n  7 -> 14 [size =\"17218560\"]\n  7 -> 15 [size =\"17218560\"]\n  8 [size=\"97143467\", alpha=\"0.11\", expect_size=\"29143040\"] \n  8 -> 12 [size =\"29143040\"]\n  8 -> 13 [size =\"29143040\"]\n  9 [size=\"165621760\", alpha=\"0.03\", expect_size=\"49686528\"] \n  9 -> 12 [size =\"49686528\"]\n  9 -> 13 [size =\"49686528\"]\n  9 -> 14 [size =\"49686528\"]\n  10 [size=\"74625707\", alpha=\"0.09\", expect_size=\"22387712\"] \n  10 -> 12 [size =\"22387712\"]\n  10 -> 13 [size =\"22387712\"]\n  10 -> 15 [size =\"22387712\"]\n  11 [size=\"51964587\", alpha=\"0.00\", expect_size=\"15589376\"] \n  11 -> 16 [size =\"15589376\"]\n  12 [size=\"115374080\", alpha=\"0.15\", expect_size=\"34612224\"] \n  12 -> 17 [size =\"34612224\"]\n  12 -> 18 [size =\"34612224\"]\n  12 -> 19 [size =\"34612224\"]\n  12 -> 20 [size =\"34612224\"]\n  12 -> 22 [size =\"34612224\"]\n  13 [size=\"58835627\", alpha=\"0.17\", expect_size=\"17650688\"] \n  13 -> 21 [size =\"17650688\"]\n  13 -> 22 [size =\"17650688\"]\n  14 [size=\"75066027\", alpha=\"0.14\", expect_size=\"22519808\"] \n  14 -> 17 [size =\"22519808\"]\n  14 -> 20 [size =\"22519808\"]\n  14 -> 21 [size =\"22519808\"]\n  15 [size=\"127668907\", alpha=\"0.15\", expect_size=\"38300672\"] \n  15 -> 17 [size =\"38300672\"]\n  15 -> 20 [size =\"38300672\"]\n  15 -> 21 [size =\"38300672\"]\n  15 -> 22 [size =\"38300672\"]\n  16 [size=\"151985493\", alpha=\"0.13\", expect_size=\"45595648\"] \n  16 -> 20 [size =\"45595648\"]\n  17 [size=\"131341653\", alpha=\"0.15\", expect_size=\"39402496\"] \n  17 -> 24 [size =\"39402496\"]\n  17 -> 25 [size =\"39402496\"]\n  17 -> 26 [size =\"39402496\"]\n  18 [size=\"96409600\", alpha=\"0.01\", expect_size=\"28922880\"] \n  18 -> 25 [size =\"28922880\"]\n  18 -> 28 [size =\"28922880\"]\n  19 [size=\"28351147\", alpha=\"0.04\", expect_size=\"8505344\"] \n  19 -> 23 [size =\"8505344\"]\n  19 -> 27 [size =\"8505344\"]\n  19 -> 28 [size =\"8505344\"]\n  20 [size=\"49411413\", alpha=\"0.14\", expect_size=\"14823424\"] \n  20 -> 23 [size =\"14823424\"]\n  20 -> 24 [size =\"14823424\"]\n  20 -> 26 [size =\"14823424\"]\n  21 [size=\"123613867\", alpha=\"0.13\", expect_size=\"37084160\"] \n  21 -> 23 [size =\"37084160\"]\n  21 -> 24 [size =\"37084160\"]\n  21 -> 28 [size =\"37084160\"]\n  22 [size=\"126341120\", alpha=\"0.02\", expect_size=\"37902336\"] \n  22 -> 23 [size =\"37902336\"]\n  22 -> 24 [size =\"37902336\"]\n  22 -> 25 [size =\"37902336\"]\n  22 -> 28 [size =\"37902336\"]\n  23 [size=\"86200320\", alpha=\"0.12\", expect_size=\"25860096\"] \n  23 -> 31 [size =\"25860096\"]\n  23 -> 32 [size =\"25860096\"]\n  23 -> 33 [size =\"25860096\"]\n  23 -> 33 [size =\"25860096\"]\n  24 [size=\"60712960\", alpha=\"0.13\", expect_size=\"18213888\"] \n  24 -> 29 [size =\"18213888\"]\n  24 -> 32 [size =\"18213888\"]\n  25 [size=\"170076160\", alpha=\"0.15\", expect_size=\"51022848\"] \n  25 -> 29 [size =\"51022848\"]\n  25 -> 30 [size =\"51022848\"]\n  26 [size=\"133273600\", alpha=\"0.10\", expect_size=\"39982080\"] \n  26 -> 29 [size =\"39982080\"]\n  26 -> 30 [size =\"39982080\"]\n  27 [size=\"78042453\", alpha=\"0.09\", expect_size=\"23412736\"] \n  27 -> 30 [size =\"23412736\"]\n  27 -> 31 [size =\"23412736\"]\n  28 [size=\"36556800\", alpha=\"0.19\", expect_size=\"10967040\"] \n  28 -> 29 [size =\"10967040\"]\n  28 -> 30 [size =\"10967040\"]\n  28 -> 31 [size =\"10967040\"]\n  28 -> 33 [size =\"10967040\"]\n  29 [size=\"47121067\", alpha=\"0.07\", expect_size=\"14136320\"] \n  29 -> 34 [size =\"14136320\"]\n  29 -> 36 [size =\"14136320\"]\n  29 -> 37 [size =\"14136320\"]\n  29 -> 38 [size =\"14136320\"]\n  30 [size=\"79547733\", alpha=\"0.03\", expect_size=\"23864320\"] \n  30 -> 34 [size =\"23864320\"]\n  30 -> 35 [size =\"23864320\"]\n  31 [size=\"30610773\", alpha=\"0.03\", expect_size=\"9183232\"] \n  31 -> 34 [size =\"9183232\"]\n  32 [size=\"133707093\", alpha=\"0.15\", expect_size=\"40112128\"] \n  32 -> 34 [size =\"40112128\"]\n  32 -> 35 [size =\"40112128\"]\n  32 -> 36 [size =\"40112128\"]\n  32 -> 38 [size =\"40112128\"]\n  33 [size=\"153057280\", alpha=\"0.13\", expect_size=\"45917184\"] \n  33 -> 35 [size =\"45917184\"]\n  33 -> 36 [size =\"45917184\"]\n  33 -> 37 [size =\"45917184\"]\n  33 -> 38 [size =\"45917184\"]\n  34 [size=\"92337493\", alpha=\"0.18\", expect_size=\"27701248\"] \n  34 -> 40 [size =\"27701248\"]\n  34 -> 42 [size =\"27701248\"]\n  34 -> 43 [size =\"27701248\"]\n  35 [size=\"39321600\", alpha=\"0.17\", expect_size=\"11796480\"] \n  35 -> 39 [size =\"11796480\"]\n  35 -> 41 [size =\"11796480\"]\n  36 [size=\"159658667\", alpha=\"0.13\", expect_size=\"47897600\"] \n  36 -> 41 [size =\"47897600\"]\n  36 -> 41 [size =\"47897600\"]\n  36 -> 42 [size =\"47897600\"]\n  37 [size=\"78035627\", alpha=\"0.04\", expect_size=\"23410688\"] \n  37 -> 39 [size =\"23410688\"]\n  37 -> 40 [size =\"23410688\"]\n  38 [size=\"148947627\", alpha=\"0.04\", expect_size=\"44684288\"] \n  38 -> 39 [size =\"44684288\"]\n  38 -> 40 [size =\"44684288\"]\n  38 -> 43 [size =\"44684288\"]\n  39 [size=\"137489067\", alpha=\"0.06\", expect_size=\"41246720\"] \n  40 [size=\"34522453\", alpha=\"0.13\", expect_size=\"10356736\"] \n  40 -> 44 [size =\"10356736\"]\n  40 -> 45 [size =\"10356736\"]\n  41 [size=\"54483627\", alpha=\"0.12\", expect_size=\"16345088\"] \n  42 [size=\"74577920\", alpha=\"0.06\", expect_size=\"22373376\"] \n  42 -> 45 [size =\"22373376\"]\n  43 [size=\"35413333\", alpha=\"0.08\", expect_size=\"10624000\"] \n  43 -> 45 [size =\"10624000\"]\n  44 [size=\"135645867\", alpha=\"0.16\", expect_size=\"40693760\"] \n  45 [size=\"118289067\", alpha=\"0.03\", expect_size=\"35486720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69104640\", alpha=\"0.05\", expect_size=\"27641856\"] \n  1 -> 2 [size =\"27641856\"]\n  2 [size=\"85143040\", alpha=\"0.09\", expect_size=\"34057216\"] \n  2 -> 3 [size =\"34057216\"]\n  3 [size=\"83297280\", alpha=\"0.08\", expect_size=\"33318912\"] \n  3 -> 4 [size =\"33318912\"]\n  4 [size=\"130856960\", alpha=\"0.15\", expect_size=\"52342784\"] \n  4 -> 5 [size =\"52342784\"]\n  5 [size=\"106777600\", alpha=\"0.01\", expect_size=\"42711040\"] \n  5 -> 6 [size =\"42711040\"]\n  6 [size=\"37724160\", alpha=\"0.06\", expect_size=\"15089664\"] \n  6 -> 7 [size =\"15089664\"]\n  7 [size=\"41474560\", alpha=\"0.19\", expect_size=\"16589824\"] \n  7 -> 8 [size =\"16589824\"]\n  8 [size=\"37731840\", alpha=\"0.14\", expect_size=\"15092736\"] \n  8 -> 9 [size =\"15092736\"]\n  9 [size=\"84705280\", alpha=\"0.12\", expect_size=\"33882112\"] \n  9 -> 10 [size =\"33882112\"]\n  10 [size=\"80563200\", alpha=\"0.16\", expect_size=\"32225280\"] \n  10 -> 11 [size =\"32225280\"]\n  11 [size=\"56770560\", alpha=\"0.19\", expect_size=\"22708224\"] \n  11 -> 12 [size =\"22708224\"]\n  12 [size=\"87116800\", alpha=\"0.11\", expect_size=\"34846720\"] \n  12 -> 13 [size =\"34846720\"]\n  13 [size=\"21181440\", alpha=\"0.07\", expect_size=\"8472576\"] \n  13 -> 14 [size =\"8472576\"]\n  14 [size=\"70766080\", alpha=\"0.03\", expect_size=\"28306432\"] \n  14 -> 15 [size =\"28306432\"]\n  15 [size=\"43033600\", alpha=\"0.13\", expect_size=\"17213440\"] \n  15 -> 16 [size =\"17213440\"]\n  16 [size=\"47825920\", alpha=\"0.07\", expect_size=\"19130368\"] \n  16 -> 17 [size =\"19130368\"]\n  17 [size=\"80463360\", alpha=\"0.17\", expect_size=\"32185344\"] \n  17 -> 18 [size =\"32185344\"]\n  18 [size=\"75875840\", alpha=\"0.11\", expect_size=\"30350336\"] \n  18 -> 19 [size =\"30350336\"]\n  19 [size=\"41827840\", alpha=\"0.16\", expect_size=\"16731136\"] \n  19 -> 20 [size =\"16731136\"]\n  20 [size=\"114378240\", alpha=\"0.18\", expect_size=\"45751296\"] \n  20 -> 21 [size =\"45751296\"]\n  21 [size=\"93432320\", alpha=\"0.10\", expect_size=\"37372928\"] \n  21 -> 22 [size =\"37372928\"]\n  22 [size=\"90242560\", alpha=\"0.14\", expect_size=\"36097024\"] \n  22 -> 23 [size =\"36097024\"]\n  23 [size=\"39362560\", alpha=\"0.11\", expect_size=\"15745024\"] \n  23 -> 24 [size =\"15745024\"]\n  24 [size=\"77964800\", alpha=\"0.07\", expect_size=\"31185920\"] \n  24 -> 25 [size =\"31185920\"]\n  25 [size=\"96908800\", alpha=\"0.18\", expect_size=\"38763520\"] \n  25 -> 26 [size =\"38763520\"]\n  26 [size=\"54604800\", alpha=\"0.14\", expect_size=\"21841920\"] \n  26 -> 27 [size =\"21841920\"]\n  27 [size=\"97574400\", alpha=\"0.15\", expect_size=\"39029760\"] \n  27 -> 28 [size =\"39029760\"]\n  28 [size=\"82391040\", alpha=\"0.00\", expect_size=\"32956416\"] \n  28 -> 29 [size =\"32956416\"]\n  29 [size=\"26606080\", alpha=\"0.18\", expect_size=\"10642432\"] \n  29 -> 30 [size =\"10642432\"]\n  30 [size=\"121080320\", alpha=\"0.06\", expect_size=\"48432128\"] \n  30 -> 31 [size =\"48432128\"]\n  31 [size=\"111895040\", alpha=\"0.02\", expect_size=\"44758016\"] \n  31 -> 32 [size =\"44758016\"]\n  32 [size=\"55050240\", alpha=\"0.11\", expect_size=\"22020096\"] \n  32 -> 33 [size =\"22020096\"]\n  33 [size=\"22584320\", alpha=\"0.01\", expect_size=\"9033728\"] \n  33 -> 34 [size =\"9033728\"]\n  34 [size=\"84687360\", alpha=\"0.00\", expect_size=\"33874944\"] \n  34 -> 35 [size =\"33874944\"]\n  35 [size=\"123182080\", alpha=\"0.05\", expect_size=\"49272832\"] \n  35 -> 36 [size =\"49272832\"]\n  36 [size=\"113774080\", alpha=\"0.16\", expect_size=\"45509632\"] \n  36 -> 37 [size =\"45509632\"]\n  37 [size=\"81082880\", alpha=\"0.18\", expect_size=\"32433152\"] \n  37 -> 38 [size =\"32433152\"]\n  38 [size=\"53473280\", alpha=\"0.11\", expect_size=\"21389312\"] \n  38 -> 39 [size =\"21389312\"]\n  39 [size=\"55577600\", alpha=\"0.08\", expect_size=\"22231040\"] \n  39 -> 40 [size =\"22231040\"]\n  40 [size=\"41026560\", alpha=\"0.03\", expect_size=\"16410624\"] \n  40 -> 41 [size =\"16410624\"]\n  41 [size=\"77281280\", alpha=\"0.11\", expect_size=\"30912512\"] \n  41 -> 42 [size =\"30912512\"]\n  42 [size=\"90040320\", alpha=\"0.13\", expect_size=\"36016128\"] \n  42 -> 43 [size =\"36016128\"]\n  43 [size=\"35351040\", alpha=\"0.19\", expect_size=\"14140416\"] \n  43 -> 44 [size =\"14140416\"]\n  44 [size=\"39252480\", alpha=\"0.16\", expect_size=\"15700992\"] \n  44 -> 45 [size =\"15700992\"]\n  45 [size=\"41438720\", alpha=\"0.07\", expect_size=\"16575488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82342400\", alpha=\"0.12\", expect_size=\"32936960\"] \n  1 -> 9 [size =\"32936960\"]\n  1 -> 10 [size =\"32936960\"]\n  1 -> 11 [size =\"32936960\"]\n  2 [size=\"123860480\", alpha=\"0.07\", expect_size=\"49544192\"] \n  2 -> 9 [size =\"49544192\"]\n  2 -> 10 [size =\"49544192\"]\n  2 -> 11 [size =\"49544192\"]\n  2 -> 12 [size =\"49544192\"]\n  3 [size=\"51438080\", alpha=\"0.07\", expect_size=\"20575232\"] \n  3 -> 9 [size =\"20575232\"]\n  3 -> 11 [size =\"20575232\"]\n  3 -> 11 [size =\"20575232\"]\n  4 [size=\"14448640\", alpha=\"0.06\", expect_size=\"5779456\"] \n  4 -> 9 [size =\"5779456\"]\n  4 -> 10 [size =\"5779456\"]\n  4 -> 11 [size =\"5779456\"]\n  5 [size=\"59141120\", alpha=\"0.01\", expect_size=\"23656448\"] \n  5 -> 8 [size =\"23656448\"]\n  5 -> 9 [size =\"23656448\"]\n  5 -> 12 [size =\"23656448\"]\n  6 [size=\"108700160\", alpha=\"0.11\", expect_size=\"43480064\"] \n  6 -> 9 [size =\"43480064\"]\n  6 -> 10 [size =\"43480064\"]\n  7 [size=\"68577280\", alpha=\"0.20\", expect_size=\"27430912\"] \n  7 -> 8 [size =\"27430912\"]\n  7 -> 10 [size =\"27430912\"]\n  8 [size=\"30814720\", alpha=\"0.13\", expect_size=\"12325888\"] \n  8 -> 13 [size =\"12325888\"]\n  8 -> 15 [size =\"12325888\"]\n  8 -> 16 [size =\"12325888\"]\n  8 -> 17 [size =\"12325888\"]\n  9 [size=\"41674240\", alpha=\"0.19\", expect_size=\"16669696\"] \n  9 -> 13 [size =\"16669696\"]\n  9 -> 15 [size =\"16669696\"]\n  9 -> 16 [size =\"16669696\"]\n  9 -> 18 [size =\"16669696\"]\n  10 [size=\"76121600\", alpha=\"0.01\", expect_size=\"30448640\"] \n  10 -> 14 [size =\"30448640\"]\n  10 -> 15 [size =\"30448640\"]\n  10 -> 16 [size =\"30448640\"]\n  10 -> 18 [size =\"30448640\"]\n  11 [size=\"55805440\", alpha=\"0.12\", expect_size=\"22322176\"] \n  11 -> 15 [size =\"22322176\"]\n  11 -> 16 [size =\"22322176\"]\n  11 -> 17 [size =\"22322176\"]\n  11 -> 18 [size =\"22322176\"]\n  12 [size=\"128048640\", alpha=\"0.04\", expect_size=\"51219456\"] \n  12 -> 13 [size =\"51219456\"]\n  12 -> 15 [size =\"51219456\"]\n  12 -> 16 [size =\"51219456\"]\n  13 [size=\"53672960\", alpha=\"0.17\", expect_size=\"21469184\"] \n  13 -> 20 [size =\"21469184\"]\n  13 -> 21 [size =\"21469184\"]\n  14 [size=\"93793280\", alpha=\"0.10\", expect_size=\"37517312\"] \n  14 -> 19 [size =\"37517312\"]\n  14 -> 20 [size =\"37517312\"]\n  14 -> 21 [size =\"37517312\"]\n  15 [size=\"126970880\", alpha=\"0.13\", expect_size=\"50788352\"] \n  15 -> 19 [size =\"50788352\"]\n  15 -> 20 [size =\"50788352\"]\n  16 [size=\"14376960\", alpha=\"0.07\", expect_size=\"5750784\"] \n  16 -> 19 [size =\"5750784\"]\n  17 [size=\"79449600\", alpha=\"0.08\", expect_size=\"31779840\"] \n  17 -> 20 [size =\"31779840\"]\n  18 [size=\"78182400\", alpha=\"0.18\", expect_size=\"31272960\"] \n  18 -> 20 [size =\"31272960\"]\n  19 [size=\"35522560\", alpha=\"0.04\", expect_size=\"14209024\"] \n  19 -> 22 [size =\"14209024\"]\n  19 -> 23 [size =\"14209024\"]\n  19 -> 24 [size =\"14209024\"]\n  19 -> 25 [size =\"14209024\"]\n  19 -> 26 [size =\"14209024\"]\n  19 -> 27 [size =\"14209024\"]\n  19 -> 28 [size =\"14209024\"]\n  20 [size=\"29240320\", alpha=\"0.10\", expect_size=\"11696128\"] \n  20 -> 22 [size =\"11696128\"]\n  20 -> 23 [size =\"11696128\"]\n  20 -> 24 [size =\"11696128\"]\n  20 -> 25 [size =\"11696128\"]\n  20 -> 26 [size =\"11696128\"]\n  20 -> 27 [size =\"11696128\"]\n  20 -> 28 [size =\"11696128\"]\n  21 [size=\"32640000\", alpha=\"0.08\", expect_size=\"13056000\"] \n  21 -> 24 [size =\"13056000\"]\n  21 -> 25 [size =\"13056000\"]\n  21 -> 26 [size =\"13056000\"]\n  21 -> 27 [size =\"13056000\"]\n  21 -> 28 [size =\"13056000\"]\n  22 [size=\"101580800\", alpha=\"0.05\", expect_size=\"40632320\"] \n  22 -> 29 [size =\"40632320\"]\n  22 -> 31 [size =\"40632320\"]\n  22 -> 32 [size =\"40632320\"]\n  23 [size=\"124817920\", alpha=\"0.08\", expect_size=\"49927168\"] \n  23 -> 29 [size =\"49927168\"]\n  23 -> 32 [size =\"49927168\"]\n  24 [size=\"108743680\", alpha=\"0.12\", expect_size=\"43497472\"] \n  24 -> 31 [size =\"43497472\"]\n  25 [size=\"49185280\", alpha=\"0.03\", expect_size=\"19674112\"] \n  25 -> 29 [size =\"19674112\"]\n  26 [size=\"125025280\", alpha=\"0.11\", expect_size=\"50010112\"] \n  26 -> 29 [size =\"50010112\"]\n  26 -> 32 [size =\"50010112\"]\n  27 [size=\"49615360\", alpha=\"0.08\", expect_size=\"19846144\"] \n  27 -> 31 [size =\"19846144\"]\n  27 -> 32 [size =\"19846144\"]\n  28 [size=\"97477120\", alpha=\"0.08\", expect_size=\"38990848\"] \n  28 -> 30 [size =\"38990848\"]\n  28 -> 31 [size =\"38990848\"]\n  28 -> 32 [size =\"38990848\"]\n  29 [size=\"85012480\", alpha=\"0.12\", expect_size=\"34004992\"] \n  29 -> 33 [size =\"34004992\"]\n  29 -> 35 [size =\"34004992\"]\n  30 [size=\"107192320\", alpha=\"0.08\", expect_size=\"42876928\"] \n  30 -> 33 [size =\"42876928\"]\n  30 -> 34 [size =\"42876928\"]\n  30 -> 36 [size =\"42876928\"]\n  31 [size=\"48504320\", alpha=\"0.10\", expect_size=\"19401728\"] \n  31 -> 33 [size =\"19401728\"]\n  31 -> 35 [size =\"19401728\"]\n  32 [size=\"96151040\", alpha=\"0.13\", expect_size=\"38460416\"] \n  33 [size=\"124956160\", alpha=\"0.02\", expect_size=\"49982464\"] \n  33 -> 37 [size =\"49982464\"]\n  33 -> 39 [size =\"49982464\"]\n  34 [size=\"55285760\", alpha=\"0.05\", expect_size=\"22114304\"] \n  34 -> 37 [size =\"22114304\"]\n  34 -> 38 [size =\"22114304\"]\n  34 -> 39 [size =\"22114304\"]\n  35 [size=\"124416000\", alpha=\"0.07\", expect_size=\"49766400\"] \n  35 -> 37 [size =\"49766400\"]\n  35 -> 38 [size =\"49766400\"]\n  35 -> 39 [size =\"49766400\"]\n  36 [size=\"24483840\", alpha=\"0.09\", expect_size=\"9793536\"] \n  36 -> 37 [size =\"9793536\"]\n  36 -> 38 [size =\"9793536\"]\n  36 -> 39 [size =\"9793536\"]\n  37 [size=\"87011840\", alpha=\"0.02\", expect_size=\"34804736\"] \n  37 -> 40 [size =\"34804736\"]\n  37 -> 42 [size =\"34804736\"]\n  38 [size=\"13583360\", alpha=\"0.07\", expect_size=\"5433344\"] \n  38 -> 41 [size =\"5433344\"]\n  38 -> 42 [size =\"5433344\"]\n  39 [size=\"57832960\", alpha=\"0.15\", expect_size=\"23133184\"] \n  39 -> 42 [size =\"23133184\"]\n  40 [size=\"130362880\", alpha=\"0.06\", expect_size=\"52145152\"] \n  40 -> 43 [size =\"52145152\"]\n  40 -> 44 [size =\"52145152\"]\n  40 -> 45 [size =\"52145152\"]\n  41 [size=\"58263040\", alpha=\"0.01\", expect_size=\"23305216\"] \n  41 -> 45 [size =\"23305216\"]\n  42 [size=\"120156160\", alpha=\"0.10\", expect_size=\"48062464\"] \n  42 -> 44 [size =\"48062464\"]\n  42 -> 45 [size =\"48062464\"]\n  43 [size=\"77094400\", alpha=\"0.19\", expect_size=\"30837760\"] \n  44 [size=\"87608320\", alpha=\"0.03\", expect_size=\"35043328\"] \n  45 [size=\"114421760\", alpha=\"0.14\", expect_size=\"45768704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126197760\", alpha=\"0.12\", expect_size=\"37859328\"] \n  2 [size=\"76840960\", alpha=\"0.01\", expect_size=\"23052288\"] \n  2 -> 6 [size =\"23052288\"]\n  2 -> 9 [size =\"23052288\"]\n  2 -> 10 [size =\"23052288\"]\n  2 -> 11 [size =\"23052288\"]\n  3 [size=\"32221867\", alpha=\"0.14\", expect_size=\"9666560\"] \n  3 -> 8 [size =\"9666560\"]\n  3 -> 9 [size =\"9666560\"]\n  3 -> 10 [size =\"9666560\"]\n  3 -> 11 [size =\"9666560\"]\n  4 [size=\"126498133\", alpha=\"0.17\", expect_size=\"37949440\"] \n  4 -> 6 [size =\"37949440\"]\n  4 -> 8 [size =\"37949440\"]\n  4 -> 10 [size =\"37949440\"]\n  4 -> 11 [size =\"37949440\"]\n  5 [size=\"60555947\", alpha=\"0.06\", expect_size=\"18166784\"] \n  5 -> 7 [size =\"18166784\"]\n  5 -> 10 [size =\"18166784\"]\n  6 [size=\"157112320\", alpha=\"0.15\", expect_size=\"47133696\"] \n  6 -> 14 [size =\"47133696\"]\n  6 -> 15 [size =\"47133696\"]\n  6 -> 17 [size =\"47133696\"]\n  7 [size=\"38727680\", alpha=\"0.13\", expect_size=\"11618304\"] \n  7 -> 15 [size =\"11618304\"]\n  7 -> 16 [size =\"11618304\"]\n  8 [size=\"44260693\", alpha=\"0.01\", expect_size=\"13278208\"] \n  8 -> 12 [size =\"13278208\"]\n  8 -> 16 [size =\"13278208\"]\n  9 [size=\"165321387\", alpha=\"0.16\", expect_size=\"49596416\"] \n  9 -> 12 [size =\"49596416\"]\n  9 -> 13 [size =\"49596416\"]\n  9 -> 16 [size =\"49596416\"]\n  9 -> 17 [size =\"49596416\"]\n  10 [size=\"113885867\", alpha=\"0.16\", expect_size=\"34165760\"] \n  10 -> 12 [size =\"34165760\"]\n  10 -> 14 [size =\"34165760\"]\n  10 -> 16 [size =\"34165760\"]\n  10 -> 17 [size =\"34165760\"]\n  11 [size=\"52640427\", alpha=\"0.06\", expect_size=\"15792128\"] \n  11 -> 14 [size =\"15792128\"]\n  11 -> 15 [size =\"15792128\"]\n  11 -> 17 [size =\"15792128\"]\n  12 [size=\"147865600\", alpha=\"0.14\", expect_size=\"44359680\"] \n  12 -> 22 [size =\"44359680\"]\n  13 [size=\"154432853\", alpha=\"0.20\", expect_size=\"46329856\"] \n  14 [size=\"105229653\", alpha=\"0.14\", expect_size=\"31568896\"] \n  14 -> 19 [size =\"31568896\"]\n  15 [size=\"79059627\", alpha=\"0.12\", expect_size=\"23717888\"] \n  15 -> 18 [size =\"23717888\"]\n  15 -> 20 [size =\"23717888\"]\n  15 -> 21 [size =\"23717888\"]\n  15 -> 23 [size =\"23717888\"]\n  16 [size=\"125272747\", alpha=\"0.12\", expect_size=\"37581824\"] \n  16 -> 21 [size =\"37581824\"]\n  16 -> 23 [size =\"37581824\"]\n  17 [size=\"88480427\", alpha=\"0.00\", expect_size=\"26544128\"] \n  17 -> 18 [size =\"26544128\"]\n  17 -> 21 [size =\"26544128\"]\n  17 -> 23 [size =\"26544128\"]\n  18 [size=\"33634987\", alpha=\"0.05\", expect_size=\"10090496\"] \n  18 -> 24 [size =\"10090496\"]\n  18 -> 28 [size =\"10090496\"]\n  19 [size=\"40942933\", alpha=\"0.04\", expect_size=\"12282880\"] \n  19 -> 24 [size =\"12282880\"]\n  19 -> 27 [size =\"12282880\"]\n  19 -> 28 [size =\"12282880\"]\n  19 -> 29 [size =\"12282880\"]\n  20 [size=\"163126613\", alpha=\"0.18\", expect_size=\"48937984\"] \n  20 -> 24 [size =\"48937984\"]\n  20 -> 28 [size =\"48937984\"]\n  21 [size=\"129867093\", alpha=\"0.06\", expect_size=\"38960128\"] \n  21 -> 24 [size =\"38960128\"]\n  21 -> 26 [size =\"38960128\"]\n  21 -> 27 [size =\"38960128\"]\n  21 -> 29 [size =\"38960128\"]\n  22 [size=\"174342827\", alpha=\"0.02\", expect_size=\"52302848\"] \n  22 -> 26 [size =\"52302848\"]\n  23 [size=\"126255787\", alpha=\"0.19\", expect_size=\"37876736\"] \n  23 -> 25 [size =\"37876736\"]\n  23 -> 26 [size =\"37876736\"]\n  23 -> 27 [size =\"37876736\"]\n  23 -> 28 [size =\"37876736\"]\n  24 [size=\"122910720\", alpha=\"0.11\", expect_size=\"36873216\"] \n  24 -> 32 [size =\"36873216\"]\n  24 -> 34 [size =\"36873216\"]\n  25 [size=\"75762347\", alpha=\"0.08\", expect_size=\"22728704\"] \n  25 -> 31 [size =\"22728704\"]\n  25 -> 32 [size =\"22728704\"]\n  26 [size=\"167608320\", alpha=\"0.02\", expect_size=\"50282496\"] \n  26 -> 35 [size =\"50282496\"]\n  27 [size=\"101809493\", alpha=\"0.19\", expect_size=\"30542848\"] \n  27 -> 30 [size =\"30542848\"]\n  27 -> 31 [size =\"30542848\"]\n  27 -> 35 [size =\"30542848\"]\n  28 [size=\"104335360\", alpha=\"0.00\", expect_size=\"31300608\"] \n  28 -> 31 [size =\"31300608\"]\n  28 -> 34 [size =\"31300608\"]\n  29 [size=\"140161707\", alpha=\"0.20\", expect_size=\"42048512\"] \n  29 -> 33 [size =\"42048512\"]\n  29 -> 34 [size =\"42048512\"]\n  29 -> 35 [size =\"42048512\"]\n  30 [size=\"170414080\", alpha=\"0.11\", expect_size=\"51124224\"] \n  30 -> 36 [size =\"51124224\"]\n  30 -> 38 [size =\"51124224\"]\n  30 -> 39 [size =\"51124224\"]\n  31 [size=\"155508053\", alpha=\"0.08\", expect_size=\"46652416\"] \n  31 -> 39 [size =\"46652416\"]\n  32 [size=\"46878720\", alpha=\"0.01\", expect_size=\"14063616\"] \n  32 -> 36 [size =\"14063616\"]\n  32 -> 37 [size =\"14063616\"]\n  32 -> 39 [size =\"14063616\"]\n  33 [size=\"61177173\", alpha=\"0.11\", expect_size=\"18353152\"] \n  33 -> 36 [size =\"18353152\"]\n  33 -> 37 [size =\"18353152\"]\n  33 -> 38 [size =\"18353152\"]\n  34 [size=\"55862613\", alpha=\"0.12\", expect_size=\"16758784\"] \n  34 -> 36 [size =\"16758784\"]\n  34 -> 38 [size =\"16758784\"]\n  34 -> 39 [size =\"16758784\"]\n  35 [size=\"139963733\", alpha=\"0.01\", expect_size=\"41989120\"] \n  35 -> 37 [size =\"41989120\"]\n  35 -> 38 [size =\"41989120\"]\n  35 -> 39 [size =\"41989120\"]\n  36 [size=\"41984000\", alpha=\"0.04\", expect_size=\"12595200\"] \n  36 -> 41 [size =\"12595200\"]\n  36 -> 43 [size =\"12595200\"]\n  36 -> 44 [size =\"12595200\"]\n  36 -> 45 [size =\"12595200\"]\n  37 [size=\"58852693\", alpha=\"0.16\", expect_size=\"17655808\"] \n  37 -> 40 [size =\"17655808\"]\n  37 -> 44 [size =\"17655808\"]\n  38 [size=\"54531413\", alpha=\"0.10\", expect_size=\"16359424\"] \n  38 -> 41 [size =\"16359424\"]\n  38 -> 43 [size =\"16359424\"]\n  39 [size=\"55808000\", alpha=\"0.07\", expect_size=\"16742400\"] \n  39 -> 42 [size =\"16742400\"]\n  39 -> 45 [size =\"16742400\"]\n  40 [size=\"53244587\", alpha=\"0.03\", expect_size=\"15973376\"] \n  41 [size=\"143254187\", alpha=\"0.13\", expect_size=\"42976256\"] \n  42 [size=\"46421333\", alpha=\"0.02\", expect_size=\"13926400\"] \n  43 [size=\"50432000\", alpha=\"0.06\", expect_size=\"15129600\"] \n  44 [size=\"134952960\", alpha=\"0.03\", expect_size=\"40485888\"] \n  45 [size=\"73171627\", alpha=\"0.07\", expect_size=\"21951488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92787200\", alpha=\"0.00\", expect_size=\"37114880\"] \n  2 [size=\"98170880\", alpha=\"0.10\", expect_size=\"39268352\"] \n  2 -> 3 [size =\"39268352\"]\n  2 -> 4 [size =\"39268352\"]\n  3 [size=\"42654720\", alpha=\"0.17\", expect_size=\"17061888\"] \n  3 -> 6 [size =\"17061888\"]\n  4 [size=\"56404480\", alpha=\"0.10\", expect_size=\"22561792\"] \n  4 -> 5 [size =\"22561792\"]\n  5 [size=\"70289920\", alpha=\"0.17\", expect_size=\"28115968\"] \n  5 -> 7 [size =\"28115968\"]\n  5 -> 9 [size =\"28115968\"]\n  6 [size=\"55838720\", alpha=\"0.01\", expect_size=\"22335488\"] \n  6 -> 8 [size =\"22335488\"]\n  7 [size=\"84382720\", alpha=\"0.07\", expect_size=\"33753088\"] \n  7 -> 11 [size =\"33753088\"]\n  8 [size=\"45852160\", alpha=\"0.01\", expect_size=\"18340864\"] \n  8 -> 10 [size =\"18340864\"]\n  9 [size=\"13506560\", alpha=\"0.13\", expect_size=\"5402624\"] \n  10 [size=\"39191040\", alpha=\"0.18\", expect_size=\"15676416\"] \n  10 -> 12 [size =\"15676416\"]\n  10 -> 13 [size =\"15676416\"]\n  11 [size=\"112880640\", alpha=\"0.07\", expect_size=\"45152256\"] \n  12 [size=\"114329600\", alpha=\"0.10\", expect_size=\"45731840\"] \n  12 -> 14 [size =\"45731840\"]\n  13 [size=\"53096960\", alpha=\"0.11\", expect_size=\"21238784\"] \n  13 -> 15 [size =\"21238784\"]\n  14 [size=\"35888640\", alpha=\"0.08\", expect_size=\"14355456\"] \n  15 [size=\"92285440\", alpha=\"0.07\", expect_size=\"36914176\"] \n  15 -> 16 [size =\"36914176\"]\n  15 -> 17 [size =\"36914176\"]\n  16 [size=\"73743360\", alpha=\"0.06\", expect_size=\"29497344\"] \n  16 -> 18 [size =\"29497344\"]\n  17 [size=\"78545920\", alpha=\"0.10\", expect_size=\"31418368\"] \n  17 -> 19 [size =\"31418368\"]\n  18 [size=\"120120320\", alpha=\"0.07\", expect_size=\"48048128\"] \n  18 -> 20 [size =\"48048128\"]\n  18 -> 21 [size =\"48048128\"]\n  18 -> 22 [size =\"48048128\"]\n  19 [size=\"127787520\", alpha=\"0.06\", expect_size=\"51115008\"] \n  20 [size=\"87157760\", alpha=\"0.07\", expect_size=\"34863104\"] \n  20 -> 24 [size =\"34863104\"]\n  20 -> 25 [size =\"34863104\"]\n  21 [size=\"74595840\", alpha=\"0.02\", expect_size=\"29838336\"] \n  21 -> 23 [size =\"29838336\"]\n  21 -> 25 [size =\"29838336\"]\n  22 [size=\"113710080\", alpha=\"0.11\", expect_size=\"45484032\"] \n  23 [size=\"52938240\", alpha=\"0.05\", expect_size=\"21175296\"] \n  23 -> 26 [size =\"21175296\"]\n  23 -> 28 [size =\"21175296\"]\n  24 [size=\"119848960\", alpha=\"0.06\", expect_size=\"47939584\"] \n  24 -> 28 [size =\"47939584\"]\n  25 [size=\"48867840\", alpha=\"0.17\", expect_size=\"19547136\"] \n  25 -> 27 [size =\"19547136\"]\n  26 [size=\"87987200\", alpha=\"0.15\", expect_size=\"35194880\"] \n  26 -> 30 [size =\"35194880\"]\n  27 [size=\"124971520\", alpha=\"0.06\", expect_size=\"49988608\"] \n  27 -> 29 [size =\"49988608\"]\n  27 -> 31 [size =\"49988608\"]\n  28 [size=\"66595840\", alpha=\"0.01\", expect_size=\"26638336\"] \n  29 [size=\"105745920\", alpha=\"0.17\", expect_size=\"42298368\"] \n  30 [size=\"25146880\", alpha=\"0.18\", expect_size=\"10058752\"] \n  31 [size=\"68469760\", alpha=\"0.15\", expect_size=\"27387904\"] \n  31 -> 32 [size =\"27387904\"]\n  31 -> 33 [size =\"27387904\"]\n  32 [size=\"79467520\", alpha=\"0.09\", expect_size=\"31787008\"] \n  32 -> 35 [size =\"31787008\"]\n  33 [size=\"25241600\", alpha=\"0.11\", expect_size=\"10096640\"] \n  33 -> 34 [size =\"10096640\"]\n  33 -> 36 [size =\"10096640\"]\n  34 [size=\"53304320\", alpha=\"0.16\", expect_size=\"21321728\"] \n  34 -> 37 [size =\"21321728\"]\n  34 -> 38 [size =\"21321728\"]\n  35 [size=\"88990720\", alpha=\"0.14\", expect_size=\"35596288\"] \n  35 -> 37 [size =\"35596288\"]\n  36 [size=\"71518720\", alpha=\"0.03\", expect_size=\"28607488\"] \n  36 -> 38 [size =\"28607488\"]\n  37 [size=\"43627520\", alpha=\"0.03\", expect_size=\"17451008\"] \n  38 [size=\"76587520\", alpha=\"0.01\", expect_size=\"30635008\"] \n  38 -> 39 [size =\"30635008\"]\n  38 -> 40 [size =\"30635008\"]\n  39 [size=\"85181440\", alpha=\"0.18\", expect_size=\"34072576\"] \n  39 -> 41 [size =\"34072576\"]\n  40 [size=\"69808640\", alpha=\"0.08\", expect_size=\"27923456\"] \n  40 -> 42 [size =\"27923456\"]\n  41 [size=\"56555520\", alpha=\"0.09\", expect_size=\"22622208\"] \n  42 [size=\"27230720\", alpha=\"0.06\", expect_size=\"10892288\"] \n  42 -> 43 [size =\"10892288\"]\n  42 -> 44 [size =\"10892288\"]\n  42 -> 45 [size =\"10892288\"]\n  43 [size=\"83059200\", alpha=\"0.11\", expect_size=\"33223680\"] \n  44 [size=\"28101120\", alpha=\"0.13\", expect_size=\"11240448\"] \n  45 [size=\"121067520\", alpha=\"0.01\", expect_size=\"48427008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121884160\", alpha=\"0.04\", expect_size=\"48753664\"] \n  1 -> 37 [size =\"48753664\"]\n  1 -> 38 [size =\"48753664\"]\n  1 -> 42 [size =\"48753664\"]\n  2 [size=\"57344000\", alpha=\"0.11\", expect_size=\"22937600\"] \n  2 -> 39 [size =\"22937600\"]\n  2 -> 40 [size =\"22937600\"]\n  2 -> 44 [size =\"22937600\"]\n  2 -> 45 [size =\"22937600\"]\n  3 [size=\"118538240\", alpha=\"0.01\", expect_size=\"47415296\"] \n  3 -> 37 [size =\"47415296\"]\n  3 -> 39 [size =\"47415296\"]\n  3 -> 40 [size =\"47415296\"]\n  3 -> 44 [size =\"47415296\"]\n  4 [size=\"31367680\", alpha=\"0.06\", expect_size=\"12547072\"] \n  4 -> 36 [size =\"12547072\"]\n  4 -> 40 [size =\"12547072\"]\n  5 [size=\"115386880\", alpha=\"0.17\", expect_size=\"46154752\"] \n  5 -> 39 [size =\"46154752\"]\n  5 -> 42 [size =\"46154752\"]\n  5 -> 45 [size =\"46154752\"]\n  6 [size=\"51207680\", alpha=\"0.13\", expect_size=\"20483072\"] \n  6 -> 36 [size =\"20483072\"]\n  6 -> 38 [size =\"20483072\"]\n  6 -> 39 [size =\"20483072\"]\n  6 -> 44 [size =\"20483072\"]\n  7 [size=\"49960960\", alpha=\"0.06\", expect_size=\"19984384\"] \n  7 -> 37 [size =\"19984384\"]\n  7 -> 39 [size =\"19984384\"]\n  7 -> 43 [size =\"19984384\"]\n  7 -> 45 [size =\"19984384\"]\n  8 [size=\"104665600\", alpha=\"0.09\", expect_size=\"41866240\"] \n  8 -> 37 [size =\"41866240\"]\n  8 -> 44 [size =\"41866240\"]\n  8 -> 45 [size =\"41866240\"]\n  9 [size=\"54668800\", alpha=\"0.14\", expect_size=\"21867520\"] \n  9 -> 35 [size =\"21867520\"]\n  9 -> 37 [size =\"21867520\"]\n  9 -> 39 [size =\"21867520\"]\n  9 -> 40 [size =\"21867520\"]\n  9 -> 44 [size =\"21867520\"]\n  9 -> 45 [size =\"21867520\"]\n  10 [size=\"80619520\", alpha=\"0.07\", expect_size=\"32247808\"] \n  10 -> 37 [size =\"32247808\"]\n  10 -> 37 [size =\"32247808\"]\n  10 -> 42 [size =\"32247808\"]\n  11 [size=\"50616320\", alpha=\"0.04\", expect_size=\"20246528\"] \n  11 -> 37 [size =\"20246528\"]\n  11 -> 38 [size =\"20246528\"]\n  11 -> 40 [size =\"20246528\"]\n  12 [size=\"73157120\", alpha=\"0.12\", expect_size=\"29262848\"] \n  12 -> 39 [size =\"29262848\"]\n  12 -> 40 [size =\"29262848\"]\n  12 -> 42 [size =\"29262848\"]\n  13 [size=\"19066880\", alpha=\"0.13\", expect_size=\"7626752\"] \n  13 -> 38 [size =\"7626752\"]\n  13 -> 39 [size =\"7626752\"]\n  13 -> 41 [size =\"7626752\"]\n  14 [size=\"27182080\", alpha=\"0.03\", expect_size=\"10872832\"] \n  14 -> 37 [size =\"10872832\"]\n  14 -> 38 [size =\"10872832\"]\n  14 -> 39 [size =\"10872832\"]\n  14 -> 40 [size =\"10872832\"]\n  15 [size=\"63685120\", alpha=\"0.15\", expect_size=\"25474048\"] \n  15 -> 35 [size =\"25474048\"]\n  15 -> 40 [size =\"25474048\"]\n  15 -> 44 [size =\"25474048\"]\n  16 [size=\"47203840\", alpha=\"0.02\", expect_size=\"18881536\"] \n  16 -> 37 [size =\"18881536\"]\n  16 -> 38 [size =\"18881536\"]\n  16 -> 39 [size =\"18881536\"]\n  16 -> 40 [size =\"18881536\"]\n  16 -> 44 [size =\"18881536\"]\n  17 [size=\"121579520\", alpha=\"0.20\", expect_size=\"48631808\"] \n  18 [size=\"39019520\", alpha=\"0.19\", expect_size=\"15607808\"] \n  18 -> 37 [size =\"15607808\"]\n  18 -> 40 [size =\"15607808\"]\n  18 -> 44 [size =\"15607808\"]\n  19 [size=\"94832640\", alpha=\"0.07\", expect_size=\"37933056\"] \n  19 -> 37 [size =\"37933056\"]\n  19 -> 39 [size =\"37933056\"]\n  20 [size=\"61373440\", alpha=\"0.17\", expect_size=\"24549376\"] \n  20 -> 39 [size =\"24549376\"]\n  20 -> 45 [size =\"24549376\"]\n  21 [size=\"100014080\", alpha=\"0.05\", expect_size=\"40005632\"] \n  21 -> 34 [size =\"40005632\"]\n  21 -> 41 [size =\"40005632\"]\n  21 -> 42 [size =\"40005632\"]\n  21 -> 43 [size =\"40005632\"]\n  21 -> 45 [size =\"40005632\"]\n  22 [size=\"121346560\", alpha=\"0.00\", expect_size=\"48538624\"] \n  22 -> 42 [size =\"48538624\"]\n  22 -> 45 [size =\"48538624\"]\n  23 [size=\"72384000\", alpha=\"0.14\", expect_size=\"28953600\"] \n  23 -> 35 [size =\"28953600\"]\n  23 -> 37 [size =\"28953600\"]\n  23 -> 38 [size =\"28953600\"]\n  23 -> 42 [size =\"28953600\"]\n  23 -> 45 [size =\"28953600\"]\n  24 [size=\"31075840\", alpha=\"0.11\", expect_size=\"12430336\"] \n  24 -> 36 [size =\"12430336\"]\n  24 -> 45 [size =\"12430336\"]\n  25 [size=\"48478720\", alpha=\"0.05\", expect_size=\"19391488\"] \n  25 -> 45 [size =\"19391488\"]\n  26 [size=\"20943360\", alpha=\"0.05\", expect_size=\"8377344\"] \n  26 -> 37 [size =\"8377344\"]\n  26 -> 41 [size =\"8377344\"]\n  27 [size=\"34460160\", alpha=\"0.12\", expect_size=\"13784064\"] \n  27 -> 35 [size =\"13784064\"]\n  27 -> 36 [size =\"13784064\"]\n  27 -> 37 [size =\"13784064\"]\n  27 -> 38 [size =\"13784064\"]\n  27 -> 42 [size =\"13784064\"]\n  27 -> 45 [size =\"13784064\"]\n  28 [size=\"33646080\", alpha=\"0.14\", expect_size=\"13458432\"] \n  28 -> 36 [size =\"13458432\"]\n  28 -> 40 [size =\"13458432\"]\n  28 -> 44 [size =\"13458432\"]\n  29 [size=\"27888640\", alpha=\"0.03\", expect_size=\"11155456\"] \n  29 -> 36 [size =\"11155456\"]\n  29 -> 39 [size =\"11155456\"]\n  29 -> 42 [size =\"11155456\"]\n  30 [size=\"68444160\", alpha=\"0.04\", expect_size=\"27377664\"] \n  30 -> 36 [size =\"27377664\"]\n  30 -> 37 [size =\"27377664\"]\n  30 -> 45 [size =\"27377664\"]\n  31 [size=\"48378880\", alpha=\"0.11\", expect_size=\"19351552\"] \n  31 -> 34 [size =\"19351552\"]\n  31 -> 38 [size =\"19351552\"]\n  31 -> 45 [size =\"19351552\"]\n  32 [size=\"76469760\", alpha=\"0.08\", expect_size=\"30587904\"] \n  32 -> 39 [size =\"30587904\"]\n  32 -> 45 [size =\"30587904\"]\n  33 [size=\"78991360\", alpha=\"0.06\", expect_size=\"31596544\"] \n  33 -> 45 [size =\"31596544\"]\n  33 -> 45 [size =\"31596544\"]\n  34 [size=\"43412480\", alpha=\"0.07\", expect_size=\"17364992\"] \n  35 [size=\"105963520\", alpha=\"0.16\", expect_size=\"42385408\"] \n  36 [size=\"15024640\", alpha=\"0.11\", expect_size=\"6009856\"] \n  37 [size=\"44633600\", alpha=\"0.05\", expect_size=\"17853440\"] \n  38 [size=\"113679360\", alpha=\"0.02\", expect_size=\"45471744\"] \n  39 [size=\"77790720\", alpha=\"0.14\", expect_size=\"31116288\"] \n  40 [size=\"96496640\", alpha=\"0.14\", expect_size=\"38598656\"] \n  41 [size=\"119347200\", alpha=\"0.08\", expect_size=\"47738880\"] \n  42 [size=\"65889280\", alpha=\"0.01\", expect_size=\"26355712\"] \n  43 [size=\"114137600\", alpha=\"0.04\", expect_size=\"45655040\"] \n  44 [size=\"34124800\", alpha=\"0.10\", expect_size=\"13649920\"] \n  45 [size=\"75855360\", alpha=\"0.02\", expect_size=\"30342144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68075520\", alpha=\"0.18\", expect_size=\"27230208\"] \n  1 -> 32 [size =\"27230208\"]\n  1 -> 34 [size =\"27230208\"]\n  1 -> 37 [size =\"27230208\"]\n  1 -> 38 [size =\"27230208\"]\n  1 -> 39 [size =\"27230208\"]\n  1 -> 45 [size =\"27230208\"]\n  2 [size=\"87987200\", alpha=\"0.16\", expect_size=\"35194880\"] \n  2 -> 32 [size =\"35194880\"]\n  2 -> 38 [size =\"35194880\"]\n  2 -> 44 [size =\"35194880\"]\n  2 -> 45 [size =\"35194880\"]\n  3 [size=\"121295360\", alpha=\"0.03\", expect_size=\"48518144\"] \n  3 -> 32 [size =\"48518144\"]\n  3 -> 36 [size =\"48518144\"]\n  3 -> 38 [size =\"48518144\"]\n  3 -> 39 [size =\"48518144\"]\n  3 -> 45 [size =\"48518144\"]\n  4 [size=\"75607040\", alpha=\"0.15\", expect_size=\"30242816\"] \n  4 -> 32 [size =\"30242816\"]\n  4 -> 34 [size =\"30242816\"]\n  4 -> 41 [size =\"30242816\"]\n  4 -> 45 [size =\"30242816\"]\n  4 -> 45 [size =\"30242816\"]\n  5 [size=\"20894720\", alpha=\"0.08\", expect_size=\"8357888\"] \n  5 -> 36 [size =\"8357888\"]\n  5 -> 37 [size =\"8357888\"]\n  5 -> 44 [size =\"8357888\"]\n  6 [size=\"102438400\", alpha=\"0.20\", expect_size=\"40975360\"] \n  6 -> 32 [size =\"40975360\"]\n  6 -> 36 [size =\"40975360\"]\n  6 -> 41 [size =\"40975360\"]\n  6 -> 42 [size =\"40975360\"]\n  7 [size=\"21573120\", alpha=\"0.02\", expect_size=\"8629248\"] \n  7 -> 32 [size =\"8629248\"]\n  7 -> 36 [size =\"8629248\"]\n  7 -> 39 [size =\"8629248\"]\n  7 -> 41 [size =\"8629248\"]\n  7 -> 44 [size =\"8629248\"]\n  7 -> 45 [size =\"8629248\"]\n  8 [size=\"58196480\", alpha=\"0.04\", expect_size=\"23278592\"] \n  8 -> 36 [size =\"23278592\"]\n  8 -> 36 [size =\"23278592\"]\n  9 [size=\"70425600\", alpha=\"0.11\", expect_size=\"28170240\"] \n  9 -> 32 [size =\"28170240\"]\n  9 -> 34 [size =\"28170240\"]\n  9 -> 40 [size =\"28170240\"]\n  9 -> 41 [size =\"28170240\"]\n  9 -> 45 [size =\"28170240\"]\n  10 [size=\"123914240\", alpha=\"0.07\", expect_size=\"49565696\"] \n  10 -> 32 [size =\"49565696\"]\n  10 -> 33 [size =\"49565696\"]\n  10 -> 36 [size =\"49565696\"]\n  10 -> 37 [size =\"49565696\"]\n  10 -> 38 [size =\"49565696\"]\n  10 -> 45 [size =\"49565696\"]\n  11 [size=\"114967040\", alpha=\"0.17\", expect_size=\"45986816\"] \n  11 -> 34 [size =\"45986816\"]\n  11 -> 36 [size =\"45986816\"]\n  11 -> 38 [size =\"45986816\"]\n  11 -> 40 [size =\"45986816\"]\n  11 -> 45 [size =\"45986816\"]\n  12 [size=\"104522240\", alpha=\"0.06\", expect_size=\"41808896\"] \n  12 -> 38 [size =\"41808896\"]\n  12 -> 44 [size =\"41808896\"]\n  13 [size=\"80140800\", alpha=\"0.03\", expect_size=\"32056320\"] \n  13 -> 32 [size =\"32056320\"]\n  13 -> 38 [size =\"32056320\"]\n  13 -> 40 [size =\"32056320\"]\n  14 [size=\"97382400\", alpha=\"0.04\", expect_size=\"38952960\"] \n  14 -> 32 [size =\"38952960\"]\n  14 -> 36 [size =\"38952960\"]\n  14 -> 38 [size =\"38952960\"]\n  14 -> 39 [size =\"38952960\"]\n  14 -> 41 [size =\"38952960\"]\n  14 -> 45 [size =\"38952960\"]\n  15 [size=\"68126720\", alpha=\"0.16\", expect_size=\"27250688\"] \n  15 -> 36 [size =\"27250688\"]\n  15 -> 38 [size =\"27250688\"]\n  15 -> 38 [size =\"27250688\"]\n  15 -> 39 [size =\"27250688\"]\n  15 -> 40 [size =\"27250688\"]\n  16 [size=\"117322240\", alpha=\"0.06\", expect_size=\"46928896\"] \n  16 -> 33 [size =\"46928896\"]\n  16 -> 38 [size =\"46928896\"]\n  17 [size=\"115522560\", alpha=\"0.08\", expect_size=\"46209024\"] \n  17 -> 37 [size =\"46209024\"]\n  17 -> 38 [size =\"46209024\"]\n  17 -> 44 [size =\"46209024\"]\n  18 [size=\"128407040\", alpha=\"0.16\", expect_size=\"51362816\"] \n  18 -> 43 [size =\"51362816\"]\n  18 -> 45 [size =\"51362816\"]\n  19 [size=\"32606720\", alpha=\"0.01\", expect_size=\"13042688\"] \n  19 -> 36 [size =\"13042688\"]\n  19 -> 44 [size =\"13042688\"]\n  19 -> 45 [size =\"13042688\"]\n  20 [size=\"94709760\", alpha=\"0.05\", expect_size=\"37883904\"] \n  20 -> 32 [size =\"37883904\"]\n  20 -> 36 [size =\"37883904\"]\n  20 -> 39 [size =\"37883904\"]\n  20 -> 42 [size =\"37883904\"]\n  20 -> 43 [size =\"37883904\"]\n  20 -> 45 [size =\"37883904\"]\n  21 [size=\"18693120\", alpha=\"0.18\", expect_size=\"7477248\"] \n  21 -> 32 [size =\"7477248\"]\n  21 -> 35 [size =\"7477248\"]\n  21 -> 36 [size =\"7477248\"]\n  21 -> 37 [size =\"7477248\"]\n  21 -> 38 [size =\"7477248\"]\n  21 -> 42 [size =\"7477248\"]\n  22 [size=\"120965120\", alpha=\"0.03\", expect_size=\"48386048\"] \n  22 -> 34 [size =\"48386048\"]\n  23 [size=\"41167360\", alpha=\"0.07\", expect_size=\"16466944\"] \n  23 -> 32 [size =\"16466944\"]\n  23 -> 38 [size =\"16466944\"]\n  23 -> 40 [size =\"16466944\"]\n  23 -> 41 [size =\"16466944\"]\n  23 -> 45 [size =\"16466944\"]\n  24 [size=\"59747840\", alpha=\"0.02\", expect_size=\"23899136\"] \n  24 -> 32 [size =\"23899136\"]\n  24 -> 34 [size =\"23899136\"]\n  24 -> 38 [size =\"23899136\"]\n  24 -> 41 [size =\"23899136\"]\n  24 -> 44 [size =\"23899136\"]\n  25 [size=\"80473600\", alpha=\"0.18\", expect_size=\"32189440\"] \n  25 -> 32 [size =\"32189440\"]\n  25 -> 33 [size =\"32189440\"]\n  25 -> 38 [size =\"32189440\"]\n  25 -> 44 [size =\"32189440\"]\n  26 [size=\"56970240\", alpha=\"0.09\", expect_size=\"22788096\"] \n  26 -> 34 [size =\"22788096\"]\n  26 -> 38 [size =\"22788096\"]\n  26 -> 44 [size =\"22788096\"]\n  26 -> 45 [size =\"22788096\"]\n  27 [size=\"92124160\", alpha=\"0.02\", expect_size=\"36849664\"] \n  27 -> 34 [size =\"36849664\"]\n  27 -> 40 [size =\"36849664\"]\n  27 -> 42 [size =\"36849664\"]\n  27 -> 44 [size =\"36849664\"]\n  27 -> 45 [size =\"36849664\"]\n  28 [size=\"21665280\", alpha=\"0.02\", expect_size=\"8666112\"] \n  28 -> 32 [size =\"8666112\"]\n  28 -> 38 [size =\"8666112\"]\n  28 -> 40 [size =\"8666112\"]\n  29 [size=\"118896640\", alpha=\"0.12\", expect_size=\"47558656\"] \n  29 -> 45 [size =\"47558656\"]\n  30 [size=\"124536320\", alpha=\"0.01\", expect_size=\"49814528\"] \n  30 -> 32 [size =\"49814528\"]\n  30 -> 33 [size =\"49814528\"]\n  30 -> 36 [size =\"49814528\"]\n  30 -> 37 [size =\"49814528\"]\n  30 -> 41 [size =\"49814528\"]\n  30 -> 43 [size =\"49814528\"]\n  30 -> 45 [size =\"49814528\"]\n  31 [size=\"34048000\", alpha=\"0.07\", expect_size=\"13619200\"] \n  31 -> 32 [size =\"13619200\"]\n  31 -> 37 [size =\"13619200\"]\n  31 -> 38 [size =\"13619200\"]\n  31 -> 40 [size =\"13619200\"]\n  31 -> 41 [size =\"13619200\"]\n  31 -> 43 [size =\"13619200\"]\n  32 [size=\"20364800\", alpha=\"0.08\", expect_size=\"8145920\"] \n  33 [size=\"40399360\", alpha=\"0.01\", expect_size=\"16159744\"] \n  34 [size=\"84380160\", alpha=\"0.08\", expect_size=\"33752064\"] \n  35 [size=\"96839680\", alpha=\"0.04\", expect_size=\"38735872\"] \n  36 [size=\"85570560\", alpha=\"0.19\", expect_size=\"34228224\"] \n  37 [size=\"21936640\", alpha=\"0.10\", expect_size=\"8774656\"] \n  38 [size=\"32371200\", alpha=\"0.01\", expect_size=\"12948480\"] \n  39 [size=\"44003840\", alpha=\"0.15\", expect_size=\"17601536\"] \n  40 [size=\"114150400\", alpha=\"0.04\", expect_size=\"45660160\"] \n  41 [size=\"117690880\", alpha=\"0.13\", expect_size=\"47076352\"] \n  42 [size=\"38525440\", alpha=\"0.00\", expect_size=\"15410176\"] \n  43 [size=\"86031360\", alpha=\"0.12\", expect_size=\"34412544\"] \n  44 [size=\"91317760\", alpha=\"0.12\", expect_size=\"36527104\"] \n  45 [size=\"20695040\", alpha=\"0.04\", expect_size=\"8278016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101091328\", alpha=\"0.19\", expect_size=\"50545664\"] \n  1 -> 3 [size =\"50545664\"]\n  1 -> 4 [size =\"50545664\"]\n  2 [size=\"41805824\", alpha=\"0.06\", expect_size=\"20902912\"] \n  2 -> 3 [size =\"20902912\"]\n  3 [size=\"17215488\", alpha=\"0.18\", expect_size=\"8607744\"] \n  3 -> 5 [size =\"8607744\"]\n  3 -> 6 [size =\"8607744\"]\n  4 [size=\"19111936\", alpha=\"0.08\", expect_size=\"9555968\"] \n  4 -> 6 [size =\"9555968\"]\n  5 [size=\"64595968\", alpha=\"0.14\", expect_size=\"32297984\"] \n  5 -> 7 [size =\"32297984\"]\n  5 -> 8 [size =\"32297984\"]\n  5 -> 9 [size =\"32297984\"]\n  6 [size=\"58476544\", alpha=\"0.03\", expect_size=\"29238272\"] \n  6 -> 7 [size =\"29238272\"]\n  6 -> 9 [size =\"29238272\"]\n  7 [size=\"23228416\", alpha=\"0.08\", expect_size=\"11614208\"] \n  7 -> 10 [size =\"11614208\"]\n  7 -> 12 [size =\"11614208\"]\n  8 [size=\"55932928\", alpha=\"0.18\", expect_size=\"27966464\"] \n  8 -> 10 [size =\"27966464\"]\n  8 -> 11 [size =\"27966464\"]\n  8 -> 12 [size =\"27966464\"]\n  9 [size=\"96657408\", alpha=\"0.18\", expect_size=\"48328704\"] \n  9 -> 10 [size =\"48328704\"]\n  9 -> 11 [size =\"48328704\"]\n  9 -> 12 [size =\"48328704\"]\n  10 [size=\"86218752\", alpha=\"0.15\", expect_size=\"43109376\"] \n  10 -> 13 [size =\"43109376\"]\n  10 -> 14 [size =\"43109376\"]\n  11 [size=\"54558720\", alpha=\"0.05\", expect_size=\"27279360\"] \n  11 -> 14 [size =\"27279360\"]\n  12 [size=\"48852992\", alpha=\"0.08\", expect_size=\"24426496\"] \n  12 -> 14 [size =\"24426496\"]\n  13 [size=\"78127104\", alpha=\"0.13\", expect_size=\"39063552\"] \n  13 -> 15 [size =\"39063552\"]\n  13 -> 17 [size =\"39063552\"]\n  14 [size=\"69578752\", alpha=\"0.19\", expect_size=\"34789376\"] \n  14 -> 16 [size =\"34789376\"]\n  15 [size=\"12566528\", alpha=\"0.14\", expect_size=\"6283264\"] \n  15 -> 18 [size =\"6283264\"]\n  15 -> 19 [size =\"6283264\"]\n  15 -> 20 [size =\"6283264\"]\n  16 [size=\"76695552\", alpha=\"0.19\", expect_size=\"38347776\"] \n  16 -> 18 [size =\"38347776\"]\n  16 -> 19 [size =\"38347776\"]\n  16 -> 20 [size =\"38347776\"]\n  17 [size=\"90013696\", alpha=\"0.15\", expect_size=\"45006848\"] \n  17 -> 19 [size =\"45006848\"]\n  17 -> 20 [size =\"45006848\"]\n  18 [size=\"32753664\", alpha=\"0.05\", expect_size=\"16376832\"] \n  18 -> 21 [size =\"16376832\"]\n  18 -> 22 [size =\"16376832\"]\n  19 [size=\"23003136\", alpha=\"0.17\", expect_size=\"11501568\"] \n  20 [size=\"14954496\", alpha=\"0.09\", expect_size=\"7477248\"] \n  21 [size=\"86693888\", alpha=\"0.20\", expect_size=\"43346944\"] \n  21 -> 23 [size =\"43346944\"]\n  21 -> 24 [size =\"43346944\"]\n  22 [size=\"17700864\", alpha=\"0.17\", expect_size=\"8850432\"] \n  22 -> 23 [size =\"8850432\"]\n  22 -> 24 [size =\"8850432\"]\n  23 [size=\"53653504\", alpha=\"0.16\", expect_size=\"26826752\"] \n  23 -> 25 [size =\"26826752\"]\n  23 -> 26 [size =\"26826752\"]\n  23 -> 27 [size =\"26826752\"]\n  24 [size=\"18626560\", alpha=\"0.17\", expect_size=\"9313280\"] \n  24 -> 25 [size =\"9313280\"]\n  24 -> 26 [size =\"9313280\"]\n  24 -> 27 [size =\"9313280\"]\n  25 [size=\"14389248\", alpha=\"0.09\", expect_size=\"7194624\"] \n  25 -> 28 [size =\"7194624\"]\n  25 -> 29 [size =\"7194624\"]\n  26 [size=\"78987264\", alpha=\"0.12\", expect_size=\"39493632\"] \n  26 -> 28 [size =\"39493632\"]\n  26 -> 29 [size =\"39493632\"]\n  26 -> 30 [size =\"39493632\"]\n  27 [size=\"72419328\", alpha=\"0.17\", expect_size=\"36209664\"] \n  27 -> 28 [size =\"36209664\"]\n  27 -> 29 [size =\"36209664\"]\n  28 [size=\"47968256\", alpha=\"0.12\", expect_size=\"23984128\"] \n  28 -> 31 [size =\"23984128\"]\n  29 [size=\"72134656\", alpha=\"0.05\", expect_size=\"36067328\"] \n  29 -> 31 [size =\"36067328\"]\n  29 -> 32 [size =\"36067328\"]\n  30 [size=\"56668160\", alpha=\"0.14\", expect_size=\"28334080\"] \n  30 -> 32 [size =\"28334080\"]\n  30 -> 32 [size =\"28334080\"]\n  31 [size=\"96868352\", alpha=\"0.13\", expect_size=\"48434176\"] \n  31 -> 33 [size =\"48434176\"]\n  31 -> 34 [size =\"48434176\"]\n  32 [size=\"94601216\", alpha=\"0.20\", expect_size=\"47300608\"] \n  32 -> 33 [size =\"47300608\"]\n  33 [size=\"81184768\", alpha=\"0.01\", expect_size=\"40592384\"] \n  33 -> 35 [size =\"40592384\"]\n  34 [size=\"63350784\", alpha=\"0.14\", expect_size=\"31675392\"] \n  34 -> 35 [size =\"31675392\"]\n  34 -> 36 [size =\"31675392\"]\n  35 [size=\"49727488\", alpha=\"0.08\", expect_size=\"24863744\"] \n  35 -> 37 [size =\"24863744\"]\n  35 -> 38 [size =\"24863744\"]\n  35 -> 39 [size =\"24863744\"]\n  36 [size=\"94425088\", alpha=\"0.16\", expect_size=\"47212544\"] \n  36 -> 37 [size =\"47212544\"]\n  36 -> 38 [size =\"47212544\"]\n  36 -> 39 [size =\"47212544\"]\n  37 [size=\"56692736\", alpha=\"0.01\", expect_size=\"28346368\"] \n  38 [size=\"43646976\", alpha=\"0.10\", expect_size=\"21823488\"] \n  38 -> 40 [size =\"21823488\"]\n  38 -> 41 [size =\"21823488\"]\n  39 [size=\"100734976\", alpha=\"0.03\", expect_size=\"50367488\"] \n  39 -> 40 [size =\"50367488\"]\n  39 -> 41 [size =\"50367488\"]\n  40 [size=\"31016960\", alpha=\"0.16\", expect_size=\"15508480\"] \n  40 -> 42 [size =\"15508480\"]\n  40 -> 43 [size =\"15508480\"]\n  40 -> 44 [size =\"15508480\"]\n  41 [size=\"98965504\", alpha=\"0.05\", expect_size=\"49482752\"] \n  41 -> 42 [size =\"49482752\"]\n  41 -> 43 [size =\"49482752\"]\n  41 -> 44 [size =\"49482752\"]\n  42 [size=\"65542144\", alpha=\"0.16\", expect_size=\"32771072\"] \n  43 [size=\"63485952\", alpha=\"0.16\", expect_size=\"31742976\"] \n  43 -> 45 [size =\"31742976\"]\n  44 [size=\"66070528\", alpha=\"0.18\", expect_size=\"33035264\"] \n  44 -> 45 [size =\"33035264\"]\n  45 [size=\"38014976\", alpha=\"0.00\", expect_size=\"19007488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36360192\", alpha=\"0.01\", expect_size=\"18180096\"] \n  2 [size=\"79007744\", alpha=\"0.05\", expect_size=\"39503872\"] \n  2 -> 4 [size =\"39503872\"]\n  2 -> 5 [size =\"39503872\"]\n  3 [size=\"12021760\", alpha=\"0.06\", expect_size=\"6010880\"] \n  4 [size=\"35035136\", alpha=\"0.02\", expect_size=\"17517568\"] \n  4 -> 6 [size =\"17517568\"]\n  4 -> 8 [size =\"17517568\"]\n  5 [size=\"100659200\", alpha=\"0.20\", expect_size=\"50329600\"] \n  5 -> 7 [size =\"50329600\"]\n  6 [size=\"13023232\", alpha=\"0.08\", expect_size=\"6511616\"] \n  7 [size=\"92639232\", alpha=\"0.15\", expect_size=\"46319616\"] \n  7 -> 9 [size =\"46319616\"]\n  7 -> 10 [size =\"46319616\"]\n  8 [size=\"93585408\", alpha=\"0.01\", expect_size=\"46792704\"] \n  8 -> 9 [size =\"46792704\"]\n  9 [size=\"67823616\", alpha=\"0.01\", expect_size=\"33911808\"] \n  9 -> 12 [size =\"33911808\"]\n  9 -> 13 [size =\"33911808\"]\n  10 [size=\"96141312\", alpha=\"0.08\", expect_size=\"48070656\"] \n  10 -> 11 [size =\"48070656\"]\n  11 [size=\"99981312\", alpha=\"0.11\", expect_size=\"49990656\"] \n  11 -> 15 [size =\"49990656\"]\n  12 [size=\"103350272\", alpha=\"0.18\", expect_size=\"51675136\"] \n  13 [size=\"33005568\", alpha=\"0.01\", expect_size=\"16502784\"] \n  13 -> 14 [size =\"16502784\"]\n  13 -> 15 [size =\"16502784\"]\n  14 [size=\"59680768\", alpha=\"0.20\", expect_size=\"29840384\"] \n  14 -> 17 [size =\"29840384\"]\n  14 -> 18 [size =\"29840384\"]\n  15 [size=\"69740544\", alpha=\"0.03\", expect_size=\"34870272\"] \n  15 -> 16 [size =\"34870272\"]\n  16 [size=\"68909056\", alpha=\"0.04\", expect_size=\"34454528\"] \n  16 -> 20 [size =\"34454528\"]\n  17 [size=\"11280384\", alpha=\"0.08\", expect_size=\"5640192\"] \n  18 [size=\"81715200\", alpha=\"0.06\", expect_size=\"40857600\"] \n  18 -> 19 [size =\"40857600\"]\n  19 [size=\"87984128\", alpha=\"0.07\", expect_size=\"43992064\"] \n  19 -> 22 [size =\"43992064\"]\n  20 [size=\"93573120\", alpha=\"0.16\", expect_size=\"46786560\"] \n  20 -> 21 [size =\"46786560\"]\n  21 [size=\"39141376\", alpha=\"0.10\", expect_size=\"19570688\"] \n  21 -> 23 [size =\"19570688\"]\n  21 -> 24 [size =\"19570688\"]\n  22 [size=\"92452864\", alpha=\"0.19\", expect_size=\"46226432\"] \n  23 [size=\"83519488\", alpha=\"0.08\", expect_size=\"41759744\"] \n  23 -> 25 [size =\"41759744\"]\n  23 -> 26 [size =\"41759744\"]\n  24 [size=\"88842240\", alpha=\"0.02\", expect_size=\"44421120\"] \n  24 -> 27 [size =\"44421120\"]\n  25 [size=\"87996416\", alpha=\"0.15\", expect_size=\"43998208\"] \n  25 -> 28 [size =\"43998208\"]\n  25 -> 29 [size =\"43998208\"]\n  26 [size=\"102297600\", alpha=\"0.09\", expect_size=\"51148800\"] \n  26 -> 29 [size =\"51148800\"]\n  27 [size=\"26091520\", alpha=\"0.01\", expect_size=\"13045760\"] \n  27 -> 28 [size =\"13045760\"]\n  28 [size=\"62261248\", alpha=\"0.10\", expect_size=\"31130624\"] \n  29 [size=\"89804800\", alpha=\"0.11\", expect_size=\"44902400\"] \n  29 -> 30 [size =\"44902400\"]\n  29 -> 31 [size =\"44902400\"]\n  29 -> 32 [size =\"44902400\"]\n  30 [size=\"29609984\", alpha=\"0.10\", expect_size=\"14804992\"] \n  30 -> 33 [size =\"14804992\"]\n  31 [size=\"10485760\", alpha=\"0.08\", expect_size=\"5242880\"] \n  31 -> 34 [size =\"5242880\"]\n  32 [size=\"58312704\", alpha=\"0.06\", expect_size=\"29156352\"] \n  32 -> 34 [size =\"29156352\"]\n  33 [size=\"52869120\", alpha=\"0.09\", expect_size=\"26434560\"] \n  33 -> 35 [size =\"26434560\"]\n  34 [size=\"90064896\", alpha=\"0.02\", expect_size=\"45032448\"] \n  34 -> 36 [size =\"45032448\"]\n  34 -> 37 [size =\"45032448\"]\n  35 [size=\"100077568\", alpha=\"0.07\", expect_size=\"50038784\"] \n  35 -> 38 [size =\"50038784\"]\n  36 [size=\"78710784\", alpha=\"0.05\", expect_size=\"39355392\"] \n  36 -> 38 [size =\"39355392\"]\n  37 [size=\"28502016\", alpha=\"0.03\", expect_size=\"14251008\"] \n  37 -> 39 [size =\"14251008\"]\n  38 [size=\"31606784\", alpha=\"0.17\", expect_size=\"15803392\"] \n  38 -> 41 [size =\"15803392\"]\n  39 [size=\"76750848\", alpha=\"0.06\", expect_size=\"38375424\"] \n  39 -> 40 [size =\"38375424\"]\n  40 [size=\"32530432\", alpha=\"0.14\", expect_size=\"16265216\"] \n  40 -> 42 [size =\"16265216\"]\n  41 [size=\"78977024\", alpha=\"0.07\", expect_size=\"39488512\"] \n  41 -> 43 [size =\"39488512\"]\n  42 [size=\"22466560\", alpha=\"0.18\", expect_size=\"11233280\"] \n  42 -> 44 [size =\"11233280\"]\n  42 -> 45 [size =\"11233280\"]\n  43 [size=\"50241536\", alpha=\"0.04\", expect_size=\"25120768\"] \n  44 [size=\"90445824\", alpha=\"0.07\", expect_size=\"45222912\"] \n  45 [size=\"97906688\", alpha=\"0.06\", expect_size=\"48953344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74770432\", alpha=\"0.13\", expect_size=\"37385216\"] \n  1 -> 9 [size =\"37385216\"]\n  1 -> 11 [size =\"37385216\"]\n  2 [size=\"60669952\", alpha=\"0.20\", expect_size=\"30334976\"] \n  2 -> 9 [size =\"30334976\"]\n  3 [size=\"31420416\", alpha=\"0.08\", expect_size=\"15710208\"] \n  3 -> 10 [size =\"15710208\"]\n  4 [size=\"51073024\", alpha=\"0.16\", expect_size=\"25536512\"] \n  4 -> 11 [size =\"25536512\"]\n  5 [size=\"24420352\", alpha=\"0.02\", expect_size=\"12210176\"] \n  6 [size=\"31049728\", alpha=\"0.01\", expect_size=\"15524864\"] \n  6 -> 9 [size =\"15524864\"]\n  6 -> 10 [size =\"15524864\"]\n  7 [size=\"27326464\", alpha=\"0.11\", expect_size=\"13663232\"] \n  7 -> 10 [size =\"13663232\"]\n  8 [size=\"42969088\", alpha=\"0.12\", expect_size=\"21484544\"] \n  8 -> 9 [size =\"21484544\"]\n  8 -> 11 [size =\"21484544\"]\n  9 [size=\"42098688\", alpha=\"0.17\", expect_size=\"21049344\"] \n  9 -> 14 [size =\"21049344\"]\n  9 -> 15 [size =\"21049344\"]\n  9 -> 16 [size =\"21049344\"]\n  9 -> 17 [size =\"21049344\"]\n  9 -> 19 [size =\"21049344\"]\n  10 [size=\"27074560\", alpha=\"0.02\", expect_size=\"13537280\"] \n  10 -> 13 [size =\"13537280\"]\n  10 -> 15 [size =\"13537280\"]\n  10 -> 16 [size =\"13537280\"]\n  10 -> 17 [size =\"13537280\"]\n  10 -> 19 [size =\"13537280\"]\n  11 [size=\"24174592\", alpha=\"0.07\", expect_size=\"12087296\"] \n  11 -> 12 [size =\"12087296\"]\n  11 -> 13 [size =\"12087296\"]\n  11 -> 15 [size =\"12087296\"]\n  11 -> 16 [size =\"12087296\"]\n  11 -> 17 [size =\"12087296\"]\n  11 -> 18 [size =\"12087296\"]\n  11 -> 19 [size =\"12087296\"]\n  12 [size=\"85078016\", alpha=\"0.02\", expect_size=\"42539008\"] \n  12 -> 21 [size =\"42539008\"]\n  13 [size=\"82987008\", alpha=\"0.17\", expect_size=\"41493504\"] \n  13 -> 20 [size =\"41493504\"]\n  13 -> 21 [size =\"41493504\"]\n  13 -> 22 [size =\"41493504\"]\n  13 -> 23 [size =\"41493504\"]\n  14 [size=\"25872384\", alpha=\"0.09\", expect_size=\"12936192\"] \n  14 -> 20 [size =\"12936192\"]\n  14 -> 22 [size =\"12936192\"]\n  15 [size=\"100345856\", alpha=\"0.02\", expect_size=\"50172928\"] \n  15 -> 23 [size =\"50172928\"]\n  16 [size=\"14088192\", alpha=\"0.11\", expect_size=\"7044096\"] \n  16 -> 21 [size =\"7044096\"]\n  16 -> 23 [size =\"7044096\"]\n  17 [size=\"21139456\", alpha=\"0.10\", expect_size=\"10569728\"] \n  17 -> 21 [size =\"10569728\"]\n  17 -> 22 [size =\"10569728\"]\n  17 -> 23 [size =\"10569728\"]\n  18 [size=\"74676224\", alpha=\"0.08\", expect_size=\"37338112\"] \n  18 -> 21 [size =\"37338112\"]\n  18 -> 22 [size =\"37338112\"]\n  18 -> 23 [size =\"37338112\"]\n  19 [size=\"38854656\", alpha=\"0.09\", expect_size=\"19427328\"] \n  19 -> 21 [size =\"19427328\"]\n  19 -> 22 [size =\"19427328\"]\n  20 [size=\"26613760\", alpha=\"0.12\", expect_size=\"13306880\"] \n  20 -> 25 [size =\"13306880\"]\n  21 [size=\"37167104\", alpha=\"0.09\", expect_size=\"18583552\"] \n  21 -> 25 [size =\"18583552\"]\n  21 -> 26 [size =\"18583552\"]\n  22 [size=\"70252544\", alpha=\"0.16\", expect_size=\"35126272\"] \n  22 -> 26 [size =\"35126272\"]\n  22 -> 26 [size =\"35126272\"]\n  23 [size=\"81416192\", alpha=\"0.07\", expect_size=\"40708096\"] \n  23 -> 24 [size =\"40708096\"]\n  23 -> 25 [size =\"40708096\"]\n  23 -> 27 [size =\"40708096\"]\n  24 [size=\"67211264\", alpha=\"0.08\", expect_size=\"33605632\"] \n  24 -> 28 [size =\"33605632\"]\n  24 -> 29 [size =\"33605632\"]\n  24 -> 32 [size =\"33605632\"]\n  24 -> 34 [size =\"33605632\"]\n  24 -> 35 [size =\"33605632\"]\n  25 [size=\"15405056\", alpha=\"0.11\", expect_size=\"7702528\"] \n  25 -> 29 [size =\"7702528\"]\n  25 -> 30 [size =\"7702528\"]\n  25 -> 32 [size =\"7702528\"]\n  25 -> 34 [size =\"7702528\"]\n  25 -> 35 [size =\"7702528\"]\n  26 [size=\"23635968\", alpha=\"0.18\", expect_size=\"11817984\"] \n  26 -> 32 [size =\"11817984\"]\n  26 -> 35 [size =\"11817984\"]\n  27 [size=\"77193216\", alpha=\"0.09\", expect_size=\"38596608\"] \n  27 -> 28 [size =\"38596608\"]\n  27 -> 29 [size =\"38596608\"]\n  27 -> 31 [size =\"38596608\"]\n  27 -> 33 [size =\"38596608\"]\n  27 -> 34 [size =\"38596608\"]\n  28 [size=\"31813632\", alpha=\"0.07\", expect_size=\"15906816\"] \n  28 -> 36 [size =\"15906816\"]\n  28 -> 38 [size =\"15906816\"]\n  29 [size=\"68061184\", alpha=\"0.12\", expect_size=\"34030592\"] \n  29 -> 36 [size =\"34030592\"]\n  29 -> 38 [size =\"34030592\"]\n  30 [size=\"17291264\", alpha=\"0.00\", expect_size=\"8645632\"] \n  30 -> 36 [size =\"8645632\"]\n  30 -> 37 [size =\"8645632\"]\n  30 -> 38 [size =\"8645632\"]\n  31 [size=\"74592256\", alpha=\"0.11\", expect_size=\"37296128\"] \n  31 -> 36 [size =\"37296128\"]\n  32 [size=\"21139456\", alpha=\"0.18\", expect_size=\"10569728\"] \n  32 -> 36 [size =\"10569728\"]\n  32 -> 38 [size =\"10569728\"]\n  33 [size=\"95860736\", alpha=\"0.00\", expect_size=\"47930368\"] \n  33 -> 36 [size =\"47930368\"]\n  33 -> 38 [size =\"47930368\"]\n  34 [size=\"36575232\", alpha=\"0.06\", expect_size=\"18287616\"] \n  34 -> 36 [size =\"18287616\"]\n  34 -> 38 [size =\"18287616\"]\n  35 [size=\"72615936\", alpha=\"0.11\", expect_size=\"36307968\"] \n  35 -> 37 [size =\"36307968\"]\n  36 [size=\"29173760\", alpha=\"0.16\", expect_size=\"14586880\"] \n  36 -> 39 [size =\"14586880\"]\n  36 -> 40 [size =\"14586880\"]\n  36 -> 42 [size =\"14586880\"]\n  37 [size=\"21188608\", alpha=\"0.03\", expect_size=\"10594304\"] \n  37 -> 39 [size =\"10594304\"]\n  37 -> 41 [size =\"10594304\"]\n  37 -> 42 [size =\"10594304\"]\n  38 [size=\"65499136\", alpha=\"0.05\", expect_size=\"32749568\"] \n  38 -> 40 [size =\"32749568\"]\n  38 -> 42 [size =\"32749568\"]\n  39 [size=\"100218880\", alpha=\"0.12\", expect_size=\"50109440\"] \n  39 -> 44 [size =\"50109440\"]\n  40 [size=\"62590976\", alpha=\"0.02\", expect_size=\"31295488\"] \n  40 -> 44 [size =\"31295488\"]\n  41 [size=\"63571968\", alpha=\"0.19\", expect_size=\"31785984\"] \n  42 [size=\"22484992\", alpha=\"0.08\", expect_size=\"11242496\"] \n  42 -> 43 [size =\"11242496\"]\n  42 -> 45 [size =\"11242496\"]\n  43 [size=\"13920256\", alpha=\"0.12\", expect_size=\"6960128\"] \n  44 [size=\"16009216\", alpha=\"0.08\", expect_size=\"8004608\"] \n  45 [size=\"44136448\", alpha=\"0.05\", expect_size=\"22068224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98379776\", alpha=\"0.09\", expect_size=\"49189888\"] \n  1 -> 4 [size =\"49189888\"]\n  1 -> 5 [size =\"49189888\"]\n  2 [size=\"52342784\", alpha=\"0.11\", expect_size=\"26171392\"] \n  2 -> 5 [size =\"26171392\"]\n  3 [size=\"42553344\", alpha=\"0.19\", expect_size=\"21276672\"] \n  3 -> 4 [size =\"21276672\"]\n  4 [size=\"11251712\", alpha=\"0.13\", expect_size=\"5625856\"] \n  4 -> 6 [size =\"5625856\"]\n  4 -> 7 [size =\"5625856\"]\n  4 -> 8 [size =\"5625856\"]\n  5 [size=\"77637632\", alpha=\"0.06\", expect_size=\"38818816\"] \n  5 -> 8 [size =\"38818816\"]\n  6 [size=\"19363840\", alpha=\"0.03\", expect_size=\"9681920\"] \n  6 -> 9 [size =\"9681920\"]\n  6 -> 10 [size =\"9681920\"]\n  6 -> 11 [size =\"9681920\"]\n  7 [size=\"78039040\", alpha=\"0.19\", expect_size=\"39019520\"] \n  7 -> 9 [size =\"39019520\"]\n  7 -> 10 [size =\"39019520\"]\n  7 -> 11 [size =\"39019520\"]\n  8 [size=\"62574592\", alpha=\"0.06\", expect_size=\"31287296\"] \n  8 -> 11 [size =\"31287296\"]\n  9 [size=\"40214528\", alpha=\"0.13\", expect_size=\"20107264\"] \n  10 [size=\"28663808\", alpha=\"0.06\", expect_size=\"14331904\"] \n  10 -> 12 [size =\"14331904\"]\n  10 -> 13 [size =\"14331904\"]\n  10 -> 14 [size =\"14331904\"]\n  11 [size=\"85471232\", alpha=\"0.12\", expect_size=\"42735616\"] \n  11 -> 14 [size =\"42735616\"]\n  12 [size=\"32073728\", alpha=\"0.07\", expect_size=\"16036864\"] \n  12 -> 15 [size =\"16036864\"]\n  13 [size=\"84203520\", alpha=\"0.01\", expect_size=\"42101760\"] \n  13 -> 15 [size =\"42101760\"]\n  13 -> 16 [size =\"42101760\"]\n  14 [size=\"79613952\", alpha=\"0.13\", expect_size=\"39806976\"] \n  14 -> 15 [size =\"39806976\"]\n  15 [size=\"46718976\", alpha=\"0.05\", expect_size=\"23359488\"] \n  15 -> 18 [size =\"23359488\"]\n  16 [size=\"73531392\", alpha=\"0.08\", expect_size=\"36765696\"] \n  16 -> 17 [size =\"36765696\"]\n  16 -> 18 [size =\"36765696\"]\n  16 -> 19 [size =\"36765696\"]\n  17 [size=\"86775808\", alpha=\"0.18\", expect_size=\"43387904\"] \n  17 -> 20 [size =\"43387904\"]\n  17 -> 21 [size =\"43387904\"]\n  17 -> 22 [size =\"43387904\"]\n  18 [size=\"80482304\", alpha=\"0.19\", expect_size=\"40241152\"] \n  18 -> 20 [size =\"40241152\"]\n  18 -> 22 [size =\"40241152\"]\n  19 [size=\"13305856\", alpha=\"0.20\", expect_size=\"6652928\"] \n  19 -> 20 [size =\"6652928\"]\n  19 -> 21 [size =\"6652928\"]\n  19 -> 22 [size =\"6652928\"]\n  20 [size=\"72550400\", alpha=\"0.20\", expect_size=\"36275200\"] \n  20 -> 23 [size =\"36275200\"]\n  20 -> 24 [size =\"36275200\"]\n  21 [size=\"98506752\", alpha=\"0.19\", expect_size=\"49253376\"] \n  21 -> 25 [size =\"49253376\"]\n  22 [size=\"60669952\", alpha=\"0.06\", expect_size=\"30334976\"] \n  22 -> 23 [size =\"30334976\"]\n  22 -> 24 [size =\"30334976\"]\n  23 [size=\"95045632\", alpha=\"0.01\", expect_size=\"47522816\"] \n  23 -> 27 [size =\"47522816\"]\n  24 [size=\"99977216\", alpha=\"0.15\", expect_size=\"49988608\"] \n  25 [size=\"65517568\", alpha=\"0.04\", expect_size=\"32758784\"] \n  25 -> 26 [size =\"32758784\"]\n  25 -> 27 [size =\"32758784\"]\n  26 [size=\"86929408\", alpha=\"0.15\", expect_size=\"43464704\"] \n  26 -> 28 [size =\"43464704\"]\n  26 -> 29 [size =\"43464704\"]\n  26 -> 30 [size =\"43464704\"]\n  27 [size=\"32018432\", alpha=\"0.20\", expect_size=\"16009216\"] \n  27 -> 28 [size =\"16009216\"]\n  27 -> 29 [size =\"16009216\"]\n  27 -> 30 [size =\"16009216\"]\n  28 [size=\"22169600\", alpha=\"0.16\", expect_size=\"11084800\"] \n  28 -> 32 [size =\"11084800\"]\n  28 -> 33 [size =\"11084800\"]\n  29 [size=\"18204672\", alpha=\"0.18\", expect_size=\"9102336\"] \n  29 -> 31 [size =\"9102336\"]\n  29 -> 33 [size =\"9102336\"]\n  30 [size=\"17731584\", alpha=\"0.04\", expect_size=\"8865792\"] \n  30 -> 31 [size =\"8865792\"]\n  30 -> 32 [size =\"8865792\"]\n  30 -> 33 [size =\"8865792\"]\n  31 [size=\"17707008\", alpha=\"0.06\", expect_size=\"8853504\"] \n  32 [size=\"11653120\", alpha=\"0.13\", expect_size=\"5826560\"] \n  32 -> 34 [size =\"5826560\"]\n  32 -> 35 [size =\"5826560\"]\n  33 [size=\"41426944\", alpha=\"0.15\", expect_size=\"20713472\"] \n  33 -> 35 [size =\"20713472\"]\n  34 [size=\"44726272\", alpha=\"0.12\", expect_size=\"22363136\"] \n  34 -> 36 [size =\"22363136\"]\n  34 -> 37 [size =\"22363136\"]\n  34 -> 38 [size =\"22363136\"]\n  35 [size=\"22317056\", alpha=\"0.17\", expect_size=\"11158528\"] \n  35 -> 36 [size =\"11158528\"]\n  35 -> 37 [size =\"11158528\"]\n  35 -> 38 [size =\"11158528\"]\n  36 [size=\"41351168\", alpha=\"0.15\", expect_size=\"20675584\"] \n  36 -> 39 [size =\"20675584\"]\n  36 -> 40 [size =\"20675584\"]\n  36 -> 41 [size =\"20675584\"]\n  37 [size=\"16338944\", alpha=\"0.09\", expect_size=\"8169472\"] \n  37 -> 39 [size =\"8169472\"]\n  37 -> 40 [size =\"8169472\"]\n  37 -> 41 [size =\"8169472\"]\n  38 [size=\"14831616\", alpha=\"0.18\", expect_size=\"7415808\"] \n  38 -> 39 [size =\"7415808\"]\n  38 -> 40 [size =\"7415808\"]\n  38 -> 41 [size =\"7415808\"]\n  39 [size=\"88920064\", alpha=\"0.07\", expect_size=\"44460032\"] \n  39 -> 42 [size =\"44460032\"]\n  39 -> 44 [size =\"44460032\"]\n  40 [size=\"79593472\", alpha=\"0.10\", expect_size=\"39796736\"] \n  40 -> 42 [size =\"39796736\"]\n  40 -> 44 [size =\"39796736\"]\n  41 [size=\"99397632\", alpha=\"0.11\", expect_size=\"49698816\"] \n  41 -> 42 [size =\"49698816\"]\n  41 -> 43 [size =\"49698816\"]\n  42 [size=\"34580480\", alpha=\"0.03\", expect_size=\"17290240\"] \n  42 -> 45 [size =\"17290240\"]\n  43 [size=\"95469568\", alpha=\"0.13\", expect_size=\"47734784\"] \n  43 -> 45 [size =\"47734784\"]\n  44 [size=\"72669184\", alpha=\"0.02\", expect_size=\"36334592\"] \n  44 -> 45 [size =\"36334592\"]\n  45 [size=\"35309568\", alpha=\"0.03\", expect_size=\"17654784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39792640\", alpha=\"0.02\", expect_size=\"11937792\"] \n  1 -> 2 [size =\"11937792\"]\n  2 [size=\"110325760\", alpha=\"0.17\", expect_size=\"33097728\"] \n  2 -> 3 [size =\"33097728\"]\n  3 [size=\"122053973\", alpha=\"0.06\", expect_size=\"36616192\"] \n  3 -> 4 [size =\"36616192\"]\n  4 [size=\"132386133\", alpha=\"0.14\", expect_size=\"39715840\"] \n  4 -> 5 [size =\"39715840\"]\n  5 [size=\"39277227\", alpha=\"0.00\", expect_size=\"11783168\"] \n  5 -> 6 [size =\"11783168\"]\n  6 [size=\"88941227\", alpha=\"0.03\", expect_size=\"26682368\"] \n  6 -> 7 [size =\"26682368\"]\n  7 [size=\"170687147\", alpha=\"0.16\", expect_size=\"51206144\"] \n  7 -> 8 [size =\"51206144\"]\n  8 [size=\"92654933\", alpha=\"0.19\", expect_size=\"27796480\"] \n  8 -> 9 [size =\"27796480\"]\n  9 [size=\"159235413\", alpha=\"0.13\", expect_size=\"47770624\"] \n  9 -> 10 [size =\"47770624\"]\n  10 [size=\"111612587\", alpha=\"0.19\", expect_size=\"33483776\"] \n  10 -> 11 [size =\"33483776\"]\n  11 [size=\"59490987\", alpha=\"0.06\", expect_size=\"17847296\"] \n  11 -> 12 [size =\"17847296\"]\n  12 [size=\"78704640\", alpha=\"0.08\", expect_size=\"23611392\"] \n  12 -> 13 [size =\"23611392\"]\n  13 [size=\"57644373\", alpha=\"0.16\", expect_size=\"17293312\"] \n  13 -> 14 [size =\"17293312\"]\n  14 [size=\"106007893\", alpha=\"0.17\", expect_size=\"31802368\"] \n  14 -> 15 [size =\"31802368\"]\n  15 [size=\"58453333\", alpha=\"0.17\", expect_size=\"17536000\"] \n  15 -> 16 [size =\"17536000\"]\n  16 [size=\"60095147\", alpha=\"0.03\", expect_size=\"18028544\"] \n  16 -> 17 [size =\"18028544\"]\n  17 [size=\"86531413\", alpha=\"0.19\", expect_size=\"25959424\"] \n  17 -> 18 [size =\"25959424\"]\n  18 [size=\"57688747\", alpha=\"0.09\", expect_size=\"17306624\"] \n  18 -> 19 [size =\"17306624\"]\n  19 [size=\"53548373\", alpha=\"0.08\", expect_size=\"16064512\"] \n  19 -> 20 [size =\"16064512\"]\n  20 [size=\"155351040\", alpha=\"0.00\", expect_size=\"46605312\"] \n  20 -> 21 [size =\"46605312\"]\n  21 [size=\"148094293\", alpha=\"0.16\", expect_size=\"44428288\"] \n  21 -> 22 [size =\"44428288\"]\n  22 [size=\"40546987\", alpha=\"0.03\", expect_size=\"12164096\"] \n  22 -> 23 [size =\"12164096\"]\n  23 [size=\"99741013\", alpha=\"0.04\", expect_size=\"29922304\"] \n  23 -> 24 [size =\"29922304\"]\n  24 [size=\"67508907\", alpha=\"0.19\", expect_size=\"20252672\"] \n  24 -> 25 [size =\"20252672\"]\n  25 [size=\"42854400\", alpha=\"0.17\", expect_size=\"12856320\"] \n  25 -> 26 [size =\"12856320\"]\n  26 [size=\"18315947\", alpha=\"0.04\", expect_size=\"5494784\"] \n  26 -> 27 [size =\"5494784\"]\n  27 [size=\"40936107\", alpha=\"0.10\", expect_size=\"12280832\"] \n  27 -> 28 [size =\"12280832\"]\n  28 [size=\"31890773\", alpha=\"0.06\", expect_size=\"9567232\"] \n  28 -> 29 [size =\"9567232\"]\n  29 [size=\"104591360\", alpha=\"0.00\", expect_size=\"31377408\"] \n  29 -> 30 [size =\"31377408\"]\n  30 [size=\"166263467\", alpha=\"0.07\", expect_size=\"49879040\"] \n  30 -> 31 [size =\"49879040\"]\n  31 [size=\"169809920\", alpha=\"0.18\", expect_size=\"50942976\"] \n  31 -> 32 [size =\"50942976\"]\n  32 [size=\"137547093\", alpha=\"0.17\", expect_size=\"41264128\"] \n  32 -> 33 [size =\"41264128\"]\n  33 [size=\"162324480\", alpha=\"0.01\", expect_size=\"48697344\"] \n  33 -> 34 [size =\"48697344\"]\n  34 [size=\"34153813\", alpha=\"0.17\", expect_size=\"10246144\"] \n  34 -> 35 [size =\"10246144\"]\n  35 [size=\"25234773\", alpha=\"0.18\", expect_size=\"7570432\"] \n  35 -> 36 [size =\"7570432\"]\n  36 [size=\"157361493\", alpha=\"0.04\", expect_size=\"47208448\"] \n  36 -> 37 [size =\"47208448\"]\n  37 [size=\"30143147\", alpha=\"0.19\", expect_size=\"9042944\"] \n  37 -> 38 [size =\"9042944\"]\n  38 [size=\"111363413\", alpha=\"0.19\", expect_size=\"33409024\"] \n  38 -> 39 [size =\"33409024\"]\n  39 [size=\"161634987\", alpha=\"0.04\", expect_size=\"48490496\"] \n  39 -> 40 [size =\"48490496\"]\n  40 [size=\"165423787\", alpha=\"0.06\", expect_size=\"49627136\"] \n  40 -> 41 [size =\"49627136\"]\n  41 [size=\"59589973\", alpha=\"0.05\", expect_size=\"17876992\"] \n  41 -> 42 [size =\"17876992\"]\n  42 [size=\"43431253\", alpha=\"0.06\", expect_size=\"13029376\"] \n  42 -> 43 [size =\"13029376\"]\n  43 [size=\"20893013\", alpha=\"0.19\", expect_size=\"6267904\"] \n  43 -> 44 [size =\"6267904\"]\n  44 [size=\"32143360\", alpha=\"0.17\", expect_size=\"9643008\"] \n  44 -> 45 [size =\"9643008\"]\n  45 [size=\"165710507\", alpha=\"0.19\", expect_size=\"49713152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75663360\", alpha=\"0.12\", expect_size=\"37831680\"] \n  1 -> 6 [size =\"37831680\"]\n  2 [size=\"99336192\", alpha=\"0.09\", expect_size=\"49668096\"] \n  2 -> 4 [size =\"49668096\"]\n  2 -> 5 [size =\"49668096\"]\n  2 -> 6 [size =\"49668096\"]\n  3 [size=\"55977984\", alpha=\"0.20\", expect_size=\"27988992\"] \n  3 -> 5 [size =\"27988992\"]\n  3 -> 5 [size =\"27988992\"]\n  3 -> 6 [size =\"27988992\"]\n  4 [size=\"66422784\", alpha=\"0.05\", expect_size=\"33211392\"] \n  4 -> 7 [size =\"33211392\"]\n  4 -> 10 [size =\"33211392\"]\n  4 -> 11 [size =\"33211392\"]\n  4 -> 12 [size =\"33211392\"]\n  4 -> 13 [size =\"33211392\"]\n  5 [size=\"102719488\", alpha=\"0.16\", expect_size=\"51359744\"] \n  5 -> 7 [size =\"51359744\"]\n  5 -> 10 [size =\"51359744\"]\n  5 -> 11 [size =\"51359744\"]\n  5 -> 13 [size =\"51359744\"]\n  6 [size=\"67190784\", alpha=\"0.07\", expect_size=\"33595392\"] \n  6 -> 7 [size =\"33595392\"]\n  6 -> 8 [size =\"33595392\"]\n  6 -> 9 [size =\"33595392\"]\n  6 -> 10 [size =\"33595392\"]\n  6 -> 13 [size =\"33595392\"]\n  7 [size=\"44271616\", alpha=\"0.19\", expect_size=\"22135808\"] \n  7 -> 15 [size =\"22135808\"]\n  7 -> 16 [size =\"22135808\"]\n  8 [size=\"62214144\", alpha=\"0.20\", expect_size=\"31107072\"] \n  8 -> 16 [size =\"31107072\"]\n  9 [size=\"44079104\", alpha=\"0.17\", expect_size=\"22039552\"] \n  9 -> 16 [size =\"22039552\"]\n  10 [size=\"12658688\", alpha=\"0.17\", expect_size=\"6329344\"] \n  10 -> 16 [size =\"6329344\"]\n  11 [size=\"41314304\", alpha=\"0.13\", expect_size=\"20657152\"] \n  12 [size=\"99663872\", alpha=\"0.04\", expect_size=\"49831936\"] \n  13 [size=\"45791232\", alpha=\"0.11\", expect_size=\"22895616\"] \n  13 -> 14 [size =\"22895616\"]\n  13 -> 16 [size =\"22895616\"]\n  14 [size=\"44103680\", alpha=\"0.02\", expect_size=\"22051840\"] \n  14 -> 17 [size =\"22051840\"]\n  14 -> 18 [size =\"22051840\"]\n  14 -> 19 [size =\"22051840\"]\n  14 -> 21 [size =\"22051840\"]\n  14 -> 22 [size =\"22051840\"]\n  14 -> 23 [size =\"22051840\"]\n  14 -> 24 [size =\"22051840\"]\n  15 [size=\"65347584\", alpha=\"0.19\", expect_size=\"32673792\"] \n  15 -> 17 [size =\"32673792\"]\n  15 -> 18 [size =\"32673792\"]\n  15 -> 19 [size =\"32673792\"]\n  15 -> 20 [size =\"32673792\"]\n  15 -> 21 [size =\"32673792\"]\n  15 -> 24 [size =\"32673792\"]\n  16 [size=\"47835136\", alpha=\"0.16\", expect_size=\"23917568\"] \n  16 -> 17 [size =\"23917568\"]\n  16 -> 18 [size =\"23917568\"]\n  16 -> 20 [size =\"23917568\"]\n  16 -> 22 [size =\"23917568\"]\n  16 -> 23 [size =\"23917568\"]\n  16 -> 24 [size =\"23917568\"]\n  17 [size=\"79443968\", alpha=\"0.07\", expect_size=\"39721984\"] \n  17 -> 26 [size =\"39721984\"]\n  17 -> 27 [size =\"39721984\"]\n  17 -> 28 [size =\"39721984\"]\n  17 -> 30 [size =\"39721984\"]\n  18 [size=\"74897408\", alpha=\"0.18\", expect_size=\"37448704\"] \n  18 -> 25 [size =\"37448704\"]\n  18 -> 26 [size =\"37448704\"]\n  18 -> 27 [size =\"37448704\"]\n  18 -> 28 [size =\"37448704\"]\n  18 -> 31 [size =\"37448704\"]\n  19 [size=\"73304064\", alpha=\"0.12\", expect_size=\"36652032\"] \n  19 -> 26 [size =\"36652032\"]\n  19 -> 26 [size =\"36652032\"]\n  19 -> 27 [size =\"36652032\"]\n  19 -> 28 [size =\"36652032\"]\n  19 -> 31 [size =\"36652032\"]\n  20 [size=\"57903104\", alpha=\"0.01\", expect_size=\"28951552\"] \n  20 -> 26 [size =\"28951552\"]\n  20 -> 30 [size =\"28951552\"]\n  20 -> 31 [size =\"28951552\"]\n  21 [size=\"43565056\", alpha=\"0.04\", expect_size=\"21782528\"] \n  21 -> 25 [size =\"21782528\"]\n  21 -> 29 [size =\"21782528\"]\n  21 -> 30 [size =\"21782528\"]\n  21 -> 31 [size =\"21782528\"]\n  22 [size=\"104263680\", alpha=\"0.05\", expect_size=\"52131840\"] \n  22 -> 25 [size =\"52131840\"]\n  22 -> 26 [size =\"52131840\"]\n  22 -> 27 [size =\"52131840\"]\n  22 -> 28 [size =\"52131840\"]\n  22 -> 29 [size =\"52131840\"]\n  22 -> 30 [size =\"52131840\"]\n  23 [size=\"30750720\", alpha=\"0.16\", expect_size=\"15375360\"] \n  23 -> 25 [size =\"15375360\"]\n  23 -> 26 [size =\"15375360\"]\n  23 -> 27 [size =\"15375360\"]\n  23 -> 28 [size =\"15375360\"]\n  23 -> 29 [size =\"15375360\"]\n  24 [size=\"81854464\", alpha=\"0.19\", expect_size=\"40927232\"] \n  24 -> 25 [size =\"40927232\"]\n  24 -> 28 [size =\"40927232\"]\n  24 -> 29 [size =\"40927232\"]\n  25 [size=\"92604416\", alpha=\"0.02\", expect_size=\"46302208\"] \n  25 -> 33 [size =\"46302208\"]\n  25 -> 35 [size =\"46302208\"]\n  25 -> 36 [size =\"46302208\"]\n  25 -> 37 [size =\"46302208\"]\n  26 [size=\"89495552\", alpha=\"0.16\", expect_size=\"44747776\"] \n  26 -> 35 [size =\"44747776\"]\n  26 -> 35 [size =\"44747776\"]\n  26 -> 37 [size =\"44747776\"]\n  26 -> 38 [size =\"44747776\"]\n  27 [size=\"72853504\", alpha=\"0.18\", expect_size=\"36426752\"] \n  27 -> 32 [size =\"36426752\"]\n  27 -> 34 [size =\"36426752\"]\n  27 -> 38 [size =\"36426752\"]\n  28 [size=\"104132608\", alpha=\"0.10\", expect_size=\"52066304\"] \n  28 -> 32 [size =\"52066304\"]\n  28 -> 33 [size =\"52066304\"]\n  28 -> 34 [size =\"52066304\"]\n  28 -> 35 [size =\"52066304\"]\n  29 [size=\"95014912\", alpha=\"0.10\", expect_size=\"47507456\"] \n  29 -> 32 [size =\"47507456\"]\n  29 -> 33 [size =\"47507456\"]\n  29 -> 35 [size =\"47507456\"]\n  29 -> 36 [size =\"47507456\"]\n  30 [size=\"58183680\", alpha=\"0.10\", expect_size=\"29091840\"] \n  30 -> 32 [size =\"29091840\"]\n  30 -> 33 [size =\"29091840\"]\n  30 -> 35 [size =\"29091840\"]\n  30 -> 36 [size =\"29091840\"]\n  30 -> 38 [size =\"29091840\"]\n  31 [size=\"62945280\", alpha=\"0.17\", expect_size=\"31472640\"] \n  31 -> 33 [size =\"31472640\"]\n  31 -> 35 [size =\"31472640\"]\n  31 -> 37 [size =\"31472640\"]\n  31 -> 38 [size =\"31472640\"]\n  32 [size=\"80111616\", alpha=\"0.03\", expect_size=\"40055808\"] \n  32 -> 41 [size =\"40055808\"]\n  33 [size=\"104159232\", alpha=\"0.16\", expect_size=\"52079616\"] \n  33 -> 39 [size =\"52079616\"]\n  33 -> 41 [size =\"52079616\"]\n  34 [size=\"86212608\", alpha=\"0.16\", expect_size=\"43106304\"] \n  34 -> 39 [size =\"43106304\"]\n  34 -> 40 [size =\"43106304\"]\n  34 -> 41 [size =\"43106304\"]\n  35 [size=\"82206720\", alpha=\"0.08\", expect_size=\"41103360\"] \n  35 -> 40 [size =\"41103360\"]\n  35 -> 41 [size =\"41103360\"]\n  36 [size=\"90005504\", alpha=\"0.08\", expect_size=\"45002752\"] \n  36 -> 40 [size =\"45002752\"]\n  37 [size=\"71944192\", alpha=\"0.02\", expect_size=\"35972096\"] \n  37 -> 39 [size =\"35972096\"]\n  38 [size=\"61808640\", alpha=\"0.10\", expect_size=\"30904320\"] \n  38 -> 39 [size =\"30904320\"]\n  38 -> 40 [size =\"30904320\"]\n  38 -> 41 [size =\"30904320\"]\n  39 [size=\"16957440\", alpha=\"0.12\", expect_size=\"8478720\"] \n  39 -> 43 [size =\"8478720\"]\n  39 -> 45 [size =\"8478720\"]\n  40 [size=\"65355776\", alpha=\"0.03\", expect_size=\"32677888\"] \n  40 -> 43 [size =\"32677888\"]\n  40 -> 44 [size =\"32677888\"]\n  41 [size=\"20434944\", alpha=\"0.02\", expect_size=\"10217472\"] \n  41 -> 42 [size =\"10217472\"]\n  41 -> 44 [size =\"10217472\"]\n  41 -> 45 [size =\"10217472\"]\n  42 [size=\"101771264\", alpha=\"0.00\", expect_size=\"50885632\"] \n  43 [size=\"21053440\", alpha=\"0.03\", expect_size=\"10526720\"] \n  44 [size=\"96704512\", alpha=\"0.00\", expect_size=\"48352256\"] \n  45 [size=\"79226880\", alpha=\"0.16\", expect_size=\"39613440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49303552\", alpha=\"0.14\", expect_size=\"24651776\"] \n  1 -> 32 [size =\"24651776\"]\n  1 -> 34 [size =\"24651776\"]\n  1 -> 37 [size =\"24651776\"]\n  2 [size=\"67745792\", alpha=\"0.02\", expect_size=\"33872896\"] \n  2 -> 32 [size =\"33872896\"]\n  2 -> 33 [size =\"33872896\"]\n  2 -> 34 [size =\"33872896\"]\n  2 -> 35 [size =\"33872896\"]\n  2 -> 38 [size =\"33872896\"]\n  2 -> 41 [size =\"33872896\"]\n  2 -> 42 [size =\"33872896\"]\n  2 -> 43 [size =\"33872896\"]\n  2 -> 44 [size =\"33872896\"]\n  2 -> 45 [size =\"33872896\"]\n  3 [size=\"49416192\", alpha=\"0.06\", expect_size=\"24708096\"] \n  3 -> 34 [size =\"24708096\"]\n  3 -> 42 [size =\"24708096\"]\n  3 -> 45 [size =\"24708096\"]\n  4 [size=\"99178496\", alpha=\"0.04\", expect_size=\"49589248\"] \n  4 -> 32 [size =\"49589248\"]\n  4 -> 38 [size =\"49589248\"]\n  4 -> 41 [size =\"49589248\"]\n  4 -> 45 [size =\"49589248\"]\n  5 [size=\"49166336\", alpha=\"0.14\", expect_size=\"24583168\"] \n  5 -> 32 [size =\"24583168\"]\n  5 -> 35 [size =\"24583168\"]\n  5 -> 37 [size =\"24583168\"]\n  5 -> 38 [size =\"24583168\"]\n  5 -> 40 [size =\"24583168\"]\n  6 [size=\"58427392\", alpha=\"0.18\", expect_size=\"29213696\"] \n  6 -> 33 [size =\"29213696\"]\n  6 -> 34 [size =\"29213696\"]\n  6 -> 36 [size =\"29213696\"]\n  6 -> 40 [size =\"29213696\"]\n  6 -> 41 [size =\"29213696\"]\n  6 -> 42 [size =\"29213696\"]\n  7 [size=\"92297216\", alpha=\"0.05\", expect_size=\"46148608\"] \n  7 -> 44 [size =\"46148608\"]\n  7 -> 45 [size =\"46148608\"]\n  8 [size=\"62717952\", alpha=\"0.06\", expect_size=\"31358976\"] \n  8 -> 33 [size =\"31358976\"]\n  8 -> 35 [size =\"31358976\"]\n  8 -> 39 [size =\"31358976\"]\n  8 -> 43 [size =\"31358976\"]\n  9 [size=\"81344512\", alpha=\"0.14\", expect_size=\"40672256\"] \n  9 -> 32 [size =\"40672256\"]\n  9 -> 34 [size =\"40672256\"]\n  9 -> 38 [size =\"40672256\"]\n  9 -> 42 [size =\"40672256\"]\n  9 -> 44 [size =\"40672256\"]\n  10 [size=\"17592320\", alpha=\"0.09\", expect_size=\"8796160\"] \n  10 -> 34 [size =\"8796160\"]\n  10 -> 38 [size =\"8796160\"]\n  10 -> 39 [size =\"8796160\"]\n  10 -> 42 [size =\"8796160\"]\n  11 [size=\"98441216\", alpha=\"0.05\", expect_size=\"49220608\"] \n  11 -> 33 [size =\"49220608\"]\n  11 -> 35 [size =\"49220608\"]\n  11 -> 36 [size =\"49220608\"]\n  11 -> 38 [size =\"49220608\"]\n  11 -> 42 [size =\"49220608\"]\n  12 [size=\"72083456\", alpha=\"0.04\", expect_size=\"36041728\"] \n  12 -> 32 [size =\"36041728\"]\n  12 -> 33 [size =\"36041728\"]\n  12 -> 36 [size =\"36041728\"]\n  12 -> 38 [size =\"36041728\"]\n  12 -> 42 [size =\"36041728\"]\n  12 -> 45 [size =\"36041728\"]\n  13 [size=\"81514496\", alpha=\"0.01\", expect_size=\"40757248\"] \n  13 -> 36 [size =\"40757248\"]\n  13 -> 38 [size =\"40757248\"]\n  13 -> 40 [size =\"40757248\"]\n  13 -> 44 [size =\"40757248\"]\n  13 -> 45 [size =\"40757248\"]\n  14 [size=\"16603136\", alpha=\"0.16\", expect_size=\"8301568\"] \n  14 -> 32 [size =\"8301568\"]\n  14 -> 34 [size =\"8301568\"]\n  14 -> 36 [size =\"8301568\"]\n  14 -> 42 [size =\"8301568\"]\n  14 -> 43 [size =\"8301568\"]\n  14 -> 44 [size =\"8301568\"]\n  14 -> 45 [size =\"8301568\"]\n  15 [size=\"33486848\", alpha=\"0.04\", expect_size=\"16743424\"] \n  15 -> 32 [size =\"16743424\"]\n  15 -> 33 [size =\"16743424\"]\n  15 -> 34 [size =\"16743424\"]\n  15 -> 39 [size =\"16743424\"]\n  15 -> 42 [size =\"16743424\"]\n  15 -> 45 [size =\"16743424\"]\n  16 [size=\"97697792\", alpha=\"0.13\", expect_size=\"48848896\"] \n  16 -> 33 [size =\"48848896\"]\n  16 -> 34 [size =\"48848896\"]\n  16 -> 34 [size =\"48848896\"]\n  16 -> 36 [size =\"48848896\"]\n  16 -> 37 [size =\"48848896\"]\n  16 -> 41 [size =\"48848896\"]\n  16 -> 42 [size =\"48848896\"]\n  16 -> 43 [size =\"48848896\"]\n  17 [size=\"87484416\", alpha=\"0.15\", expect_size=\"43742208\"] \n  17 -> 33 [size =\"43742208\"]\n  17 -> 36 [size =\"43742208\"]\n  17 -> 37 [size =\"43742208\"]\n  17 -> 40 [size =\"43742208\"]\n  17 -> 42 [size =\"43742208\"]\n  17 -> 43 [size =\"43742208\"]\n  17 -> 45 [size =\"43742208\"]\n  18 [size=\"17006592\", alpha=\"0.16\", expect_size=\"8503296\"] \n  18 -> 33 [size =\"8503296\"]\n  18 -> 36 [size =\"8503296\"]\n  18 -> 37 [size =\"8503296\"]\n  18 -> 41 [size =\"8503296\"]\n  18 -> 42 [size =\"8503296\"]\n  18 -> 43 [size =\"8503296\"]\n  18 -> 44 [size =\"8503296\"]\n  19 [size=\"46073856\", alpha=\"0.10\", expect_size=\"23036928\"] \n  19 -> 37 [size =\"23036928\"]\n  19 -> 41 [size =\"23036928\"]\n  19 -> 42 [size =\"23036928\"]\n  19 -> 43 [size =\"23036928\"]\n  19 -> 45 [size =\"23036928\"]\n  20 [size=\"16218112\", alpha=\"0.16\", expect_size=\"8109056\"] \n  20 -> 35 [size =\"8109056\"]\n  20 -> 36 [size =\"8109056\"]\n  20 -> 42 [size =\"8109056\"]\n  20 -> 43 [size =\"8109056\"]\n  20 -> 44 [size =\"8109056\"]\n  20 -> 45 [size =\"8109056\"]\n  21 [size=\"59817984\", alpha=\"0.09\", expect_size=\"29908992\"] \n  21 -> 33 [size =\"29908992\"]\n  21 -> 36 [size =\"29908992\"]\n  21 -> 37 [size =\"29908992\"]\n  21 -> 41 [size =\"29908992\"]\n  21 -> 43 [size =\"29908992\"]\n  21 -> 44 [size =\"29908992\"]\n  21 -> 45 [size =\"29908992\"]\n  22 [size=\"81852416\", alpha=\"0.15\", expect_size=\"40926208\"] \n  22 -> 33 [size =\"40926208\"]\n  22 -> 34 [size =\"40926208\"]\n  22 -> 39 [size =\"40926208\"]\n  22 -> 43 [size =\"40926208\"]\n  22 -> 43 [size =\"40926208\"]\n  22 -> 44 [size =\"40926208\"]\n  22 -> 45 [size =\"40926208\"]\n  23 [size=\"99430400\", alpha=\"0.09\", expect_size=\"49715200\"] \n  23 -> 33 [size =\"49715200\"]\n  23 -> 35 [size =\"49715200\"]\n  23 -> 43 [size =\"49715200\"]\n  23 -> 44 [size =\"49715200\"]\n  23 -> 45 [size =\"49715200\"]\n  24 [size=\"103372800\", alpha=\"0.02\", expect_size=\"51686400\"] \n  24 -> 33 [size =\"51686400\"]\n  24 -> 34 [size =\"51686400\"]\n  24 -> 37 [size =\"51686400\"]\n  24 -> 43 [size =\"51686400\"]\n  25 [size=\"82669568\", alpha=\"0.03\", expect_size=\"41334784\"] \n  25 -> 33 [size =\"41334784\"]\n  25 -> 36 [size =\"41334784\"]\n  25 -> 37 [size =\"41334784\"]\n  25 -> 38 [size =\"41334784\"]\n  25 -> 44 [size =\"41334784\"]\n  25 -> 45 [size =\"41334784\"]\n  26 [size=\"99250176\", alpha=\"0.14\", expect_size=\"49625088\"] \n  26 -> 33 [size =\"49625088\"]\n  26 -> 35 [size =\"49625088\"]\n  26 -> 37 [size =\"49625088\"]\n  26 -> 38 [size =\"49625088\"]\n  26 -> 42 [size =\"49625088\"]\n  26 -> 44 [size =\"49625088\"]\n  26 -> 45 [size =\"49625088\"]\n  27 [size=\"65996800\", alpha=\"0.02\", expect_size=\"32998400\"] \n  27 -> 33 [size =\"32998400\"]\n  27 -> 34 [size =\"32998400\"]\n  27 -> 35 [size =\"32998400\"]\n  27 -> 37 [size =\"32998400\"]\n  27 -> 44 [size =\"32998400\"]\n  27 -> 45 [size =\"32998400\"]\n  28 [size=\"40054784\", alpha=\"0.02\", expect_size=\"20027392\"] \n  28 -> 32 [size =\"20027392\"]\n  28 -> 33 [size =\"20027392\"]\n  28 -> 34 [size =\"20027392\"]\n  28 -> 36 [size =\"20027392\"]\n  28 -> 44 [size =\"20027392\"]\n  29 [size=\"18874368\", alpha=\"0.16\", expect_size=\"9437184\"] \n  29 -> 33 [size =\"9437184\"]\n  29 -> 33 [size =\"9437184\"]\n  29 -> 36 [size =\"9437184\"]\n  29 -> 37 [size =\"9437184\"]\n  29 -> 42 [size =\"9437184\"]\n  30 [size=\"67336192\", alpha=\"0.12\", expect_size=\"33668096\"] \n  30 -> 35 [size =\"33668096\"]\n  30 -> 37 [size =\"33668096\"]\n  30 -> 44 [size =\"33668096\"]\n  30 -> 45 [size =\"33668096\"]\n  31 [size=\"46680064\", alpha=\"0.07\", expect_size=\"23340032\"] \n  31 -> 33 [size =\"23340032\"]\n  31 -> 41 [size =\"23340032\"]\n  31 -> 42 [size =\"23340032\"]\n  32 [size=\"90093568\", alpha=\"0.15\", expect_size=\"45046784\"] \n  33 [size=\"66097152\", alpha=\"0.18\", expect_size=\"33048576\"] \n  34 [size=\"13619200\", alpha=\"0.02\", expect_size=\"6809600\"] \n  35 [size=\"21352448\", alpha=\"0.11\", expect_size=\"10676224\"] \n  36 [size=\"33609728\", alpha=\"0.18\", expect_size=\"16804864\"] \n  37 [size=\"98330624\", alpha=\"0.02\", expect_size=\"49165312\"] \n  38 [size=\"14215168\", alpha=\"0.07\", expect_size=\"7107584\"] \n  39 [size=\"22237184\", alpha=\"0.20\", expect_size=\"11118592\"] \n  40 [size=\"98885632\", alpha=\"0.14\", expect_size=\"49442816\"] \n  41 [size=\"62523392\", alpha=\"0.18\", expect_size=\"31261696\"] \n  42 [size=\"95477760\", alpha=\"0.17\", expect_size=\"47738880\"] \n  43 [size=\"70602752\", alpha=\"0.16\", expect_size=\"35301376\"] \n  44 [size=\"58931200\", alpha=\"0.14\", expect_size=\"29465600\"] \n  45 [size=\"66580480\", alpha=\"0.07\", expect_size=\"33290240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100341760\", alpha=\"0.05\", expect_size=\"30102528\"] \n  1 -> 9 [size =\"30102528\"]\n  1 -> 10 [size =\"30102528\"]\n  2 [size=\"24309760\", alpha=\"0.08\", expect_size=\"7292928\"] \n  2 -> 9 [size =\"7292928\"]\n  2 -> 10 [size =\"7292928\"]\n  2 -> 13 [size =\"7292928\"]\n  3 [size=\"145872213\", alpha=\"0.01\", expect_size=\"43761664\"] \n  3 -> 10 [size =\"43761664\"]\n  3 -> 13 [size =\"43761664\"]\n  3 -> 13 [size =\"43761664\"]\n  4 [size=\"74141013\", alpha=\"0.10\", expect_size=\"22242304\"] \n  4 -> 10 [size =\"22242304\"]\n  4 -> 11 [size =\"22242304\"]\n  5 [size=\"125637973\", alpha=\"0.16\", expect_size=\"37691392\"] \n  5 -> 10 [size =\"37691392\"]\n  5 -> 11 [size =\"37691392\"]\n  6 [size=\"97867093\", alpha=\"0.13\", expect_size=\"29360128\"] \n  6 -> 9 [size =\"29360128\"]\n  6 -> 11 [size =\"29360128\"]\n  6 -> 12 [size =\"29360128\"]\n  6 -> 13 [size =\"29360128\"]\n  7 [size=\"116568747\", alpha=\"0.14\", expect_size=\"34970624\"] \n  7 -> 8 [size =\"34970624\"]\n  7 -> 10 [size =\"34970624\"]\n  7 -> 12 [size =\"34970624\"]\n  7 -> 13 [size =\"34970624\"]\n  8 [size=\"96133120\", alpha=\"0.08\", expect_size=\"28839936\"] \n  8 -> 16 [size =\"28839936\"]\n  9 [size=\"98628267\", alpha=\"0.10\", expect_size=\"29588480\"] \n  9 -> 16 [size =\"29588480\"]\n  10 [size=\"27456853\", alpha=\"0.03\", expect_size=\"8237056\"] \n  10 -> 14 [size =\"8237056\"]\n  10 -> 15 [size =\"8237056\"]\n  11 [size=\"109639680\", alpha=\"0.10\", expect_size=\"32891904\"] \n  11 -> 14 [size =\"32891904\"]\n  11 -> 16 [size =\"32891904\"]\n  12 [size=\"150934187\", alpha=\"0.16\", expect_size=\"45280256\"] \n  12 -> 14 [size =\"45280256\"]\n  12 -> 16 [size =\"45280256\"]\n  13 [size=\"55309653\", alpha=\"0.17\", expect_size=\"16592896\"] \n  13 -> 15 [size =\"16592896\"]\n  13 -> 16 [size =\"16592896\"]\n  13 -> 17 [size =\"16592896\"]\n  14 [size=\"60907520\", alpha=\"0.01\", expect_size=\"18272256\"] \n  14 -> 18 [size =\"18272256\"]\n  14 -> 19 [size =\"18272256\"]\n  14 -> 20 [size =\"18272256\"]\n  14 -> 21 [size =\"18272256\"]\n  15 [size=\"141267627\", alpha=\"0.15\", expect_size=\"42380288\"] \n  15 -> 18 [size =\"42380288\"]\n  15 -> 19 [size =\"42380288\"]\n  15 -> 20 [size =\"42380288\"]\n  15 -> 22 [size =\"42380288\"]\n  16 [size=\"109083307\", alpha=\"0.10\", expect_size=\"32724992\"] \n  16 -> 18 [size =\"32724992\"]\n  16 -> 19 [size =\"32724992\"]\n  16 -> 21 [size =\"32724992\"]\n  16 -> 24 [size =\"32724992\"]\n  17 [size=\"57285973\", alpha=\"0.18\", expect_size=\"17185792\"] \n  17 -> 18 [size =\"17185792\"]\n  17 -> 19 [size =\"17185792\"]\n  17 -> 21 [size =\"17185792\"]\n  17 -> 23 [size =\"17185792\"]\n  17 -> 24 [size =\"17185792\"]\n  18 [size=\"168048640\", alpha=\"0.05\", expect_size=\"50414592\"] \n  18 -> 25 [size =\"50414592\"]\n  18 -> 26 [size =\"50414592\"]\n  19 [size=\"71843840\", alpha=\"0.11\", expect_size=\"21553152\"] \n  19 -> 25 [size =\"21553152\"]\n  19 -> 26 [size =\"21553152\"]\n  19 -> 27 [size =\"21553152\"]\n  19 -> 28 [size =\"21553152\"]\n  20 [size=\"147159040\", alpha=\"0.00\", expect_size=\"44147712\"] \n  20 -> 25 [size =\"44147712\"]\n  20 -> 26 [size =\"44147712\"]\n  20 -> 27 [size =\"44147712\"]\n  20 -> 28 [size =\"44147712\"]\n  21 [size=\"174076587\", alpha=\"0.00\", expect_size=\"52222976\"] \n  21 -> 27 [size =\"52222976\"]\n  21 -> 28 [size =\"52222976\"]\n  22 [size=\"96256000\", alpha=\"0.01\", expect_size=\"28876800\"] \n  22 -> 25 [size =\"28876800\"]\n  22 -> 26 [size =\"28876800\"]\n  22 -> 27 [size =\"28876800\"]\n  22 -> 28 [size =\"28876800\"]\n  23 [size=\"63460693\", alpha=\"0.18\", expect_size=\"19038208\"] \n  23 -> 26 [size =\"19038208\"]\n  23 -> 28 [size =\"19038208\"]\n  24 [size=\"38270293\", alpha=\"0.02\", expect_size=\"11481088\"] \n  24 -> 26 [size =\"11481088\"]\n  24 -> 27 [size =\"11481088\"]\n  24 -> 28 [size =\"11481088\"]\n  25 [size=\"47892480\", alpha=\"0.00\", expect_size=\"14367744\"] \n  25 -> 29 [size =\"14367744\"]\n  25 -> 30 [size =\"14367744\"]\n  25 -> 31 [size =\"14367744\"]\n  25 -> 32 [size =\"14367744\"]\n  25 -> 33 [size =\"14367744\"]\n  25 -> 34 [size =\"14367744\"]\n  26 [size=\"162273280\", alpha=\"0.08\", expect_size=\"48681984\"] \n  26 -> 29 [size =\"48681984\"]\n  26 -> 30 [size =\"48681984\"]\n  26 -> 32 [size =\"48681984\"]\n  26 -> 33 [size =\"48681984\"]\n  27 [size=\"84012373\", alpha=\"0.09\", expect_size=\"25203712\"] \n  27 -> 29 [size =\"25203712\"]\n  27 -> 31 [size =\"25203712\"]\n  27 -> 32 [size =\"25203712\"]\n  27 -> 33 [size =\"25203712\"]\n  27 -> 34 [size =\"25203712\"]\n  28 [size=\"65358507\", alpha=\"0.00\", expect_size=\"19607552\"] \n  28 -> 29 [size =\"19607552\"]\n  28 -> 30 [size =\"19607552\"]\n  28 -> 32 [size =\"19607552\"]\n  28 -> 33 [size =\"19607552\"]\n  28 -> 34 [size =\"19607552\"]\n  29 [size=\"105803093\", alpha=\"0.01\", expect_size=\"31740928\"] \n  29 -> 35 [size =\"31740928\"]\n  29 -> 36 [size =\"31740928\"]\n  29 -> 37 [size =\"31740928\"]\n  29 -> 38 [size =\"31740928\"]\n  30 [size=\"34461013\", alpha=\"0.04\", expect_size=\"10338304\"] \n  30 -> 37 [size =\"10338304\"]\n  30 -> 38 [size =\"10338304\"]\n  31 [size=\"36420267\", alpha=\"0.18\", expect_size=\"10926080\"] \n  31 -> 37 [size =\"10926080\"]\n  31 -> 38 [size =\"10926080\"]\n  32 [size=\"37263360\", alpha=\"0.09\", expect_size=\"11179008\"] \n  32 -> 35 [size =\"11179008\"]\n  32 -> 37 [size =\"11179008\"]\n  32 -> 38 [size =\"11179008\"]\n  33 [size=\"43816960\", alpha=\"0.05\", expect_size=\"13145088\"] \n  33 -> 37 [size =\"13145088\"]\n  33 -> 38 [size =\"13145088\"]\n  34 [size=\"27200853\", alpha=\"0.06\", expect_size=\"8160256\"] \n  34 -> 37 [size =\"8160256\"]\n  34 -> 38 [size =\"8160256\"]\n  35 [size=\"44076373\", alpha=\"0.03\", expect_size=\"13222912\"] \n  35 -> 39 [size =\"13222912\"]\n  35 -> 40 [size =\"13222912\"]\n  35 -> 42 [size =\"13222912\"]\n  35 -> 43 [size =\"13222912\"]\n  35 -> 44 [size =\"13222912\"]\n  36 [size=\"45318827\", alpha=\"0.12\", expect_size=\"13595648\"] \n  36 -> 42 [size =\"13595648\"]\n  36 -> 43 [size =\"13595648\"]\n  37 [size=\"111319040\", alpha=\"0.06\", expect_size=\"33395712\"] \n  37 -> 41 [size =\"33395712\"]\n  37 -> 42 [size =\"33395712\"]\n  37 -> 43 [size =\"33395712\"]\n  38 [size=\"26603520\", alpha=\"0.19\", expect_size=\"7981056\"] \n  38 -> 39 [size =\"7981056\"]\n  38 -> 42 [size =\"7981056\"]\n  38 -> 43 [size =\"7981056\"]\n  38 -> 44 [size =\"7981056\"]\n  39 [size=\"27112107\", alpha=\"0.19\", expect_size=\"8133632\"] \n  40 [size=\"36713813\", alpha=\"0.16\", expect_size=\"11014144\"] \n  40 -> 45 [size =\"11014144\"]\n  41 [size=\"65389227\", alpha=\"0.12\", expect_size=\"19616768\"] \n  42 [size=\"48015360\", alpha=\"0.18\", expect_size=\"14404608\"] \n  42 -> 45 [size =\"14404608\"]\n  43 [size=\"118050133\", alpha=\"0.11\", expect_size=\"35415040\"] \n  44 [size=\"156047360\", alpha=\"0.06\", expect_size=\"46814208\"] \n  45 [size=\"48151893\", alpha=\"0.04\", expect_size=\"14445568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72529920\", alpha=\"0.06\", expect_size=\"29011968\"] \n  1 -> 2 [size =\"29011968\"]\n  2 [size=\"22520320\", alpha=\"0.17\", expect_size=\"9008128\"] \n  2 -> 3 [size =\"9008128\"]\n  3 [size=\"42544640\", alpha=\"0.19\", expect_size=\"17017856\"] \n  3 -> 4 [size =\"17017856\"]\n  4 [size=\"107937280\", alpha=\"0.04\", expect_size=\"43174912\"] \n  4 -> 5 [size =\"43174912\"]\n  5 [size=\"61934080\", alpha=\"0.16\", expect_size=\"24773632\"] \n  5 -> 6 [size =\"24773632\"]\n  6 [size=\"103856640\", alpha=\"0.12\", expect_size=\"41542656\"] \n  6 -> 7 [size =\"41542656\"]\n  7 [size=\"88535040\", alpha=\"0.09\", expect_size=\"35414016\"] \n  7 -> 8 [size =\"35414016\"]\n  8 [size=\"127936000\", alpha=\"0.05\", expect_size=\"51174400\"] \n  8 -> 9 [size =\"51174400\"]\n  9 [size=\"24450560\", alpha=\"0.04\", expect_size=\"9780224\"] \n  9 -> 10 [size =\"9780224\"]\n  10 [size=\"81484800\", alpha=\"0.01\", expect_size=\"32593920\"] \n  10 -> 11 [size =\"32593920\"]\n  11 [size=\"126617600\", alpha=\"0.03\", expect_size=\"50647040\"] \n  11 -> 12 [size =\"50647040\"]\n  12 [size=\"44687360\", alpha=\"0.09\", expect_size=\"17874944\"] \n  12 -> 13 [size =\"17874944\"]\n  13 [size=\"28661760\", alpha=\"0.13\", expect_size=\"11464704\"] \n  13 -> 14 [size =\"11464704\"]\n  14 [size=\"23032320\", alpha=\"0.15\", expect_size=\"9212928\"] \n  14 -> 15 [size =\"9212928\"]\n  15 [size=\"47349760\", alpha=\"0.09\", expect_size=\"18939904\"] \n  15 -> 16 [size =\"18939904\"]\n  16 [size=\"23078400\", alpha=\"0.18\", expect_size=\"9231360\"] \n  16 -> 17 [size =\"9231360\"]\n  17 [size=\"93957120\", alpha=\"0.15\", expect_size=\"37582848\"] \n  17 -> 18 [size =\"37582848\"]\n  18 [size=\"31096320\", alpha=\"0.20\", expect_size=\"12438528\"] \n  18 -> 19 [size =\"12438528\"]\n  19 [size=\"59320320\", alpha=\"0.05\", expect_size=\"23728128\"] \n  19 -> 20 [size =\"23728128\"]\n  20 [size=\"84810240\", alpha=\"0.02\", expect_size=\"33924096\"] \n  20 -> 21 [size =\"33924096\"]\n  21 [size=\"90603520\", alpha=\"0.09\", expect_size=\"36241408\"] \n  21 -> 22 [size =\"36241408\"]\n  22 [size=\"105917440\", alpha=\"0.18\", expect_size=\"42366976\"] \n  22 -> 23 [size =\"42366976\"]\n  23 [size=\"43604480\", alpha=\"0.12\", expect_size=\"17441792\"] \n  23 -> 24 [size =\"17441792\"]\n  24 [size=\"117583360\", alpha=\"0.02\", expect_size=\"47033344\"] \n  24 -> 25 [size =\"47033344\"]\n  25 [size=\"90851840\", alpha=\"0.00\", expect_size=\"36340736\"] \n  25 -> 26 [size =\"36340736\"]\n  26 [size=\"27750400\", alpha=\"0.14\", expect_size=\"11100160\"] \n  26 -> 27 [size =\"11100160\"]\n  27 [size=\"18060800\", alpha=\"0.01\", expect_size=\"7224320\"] \n  27 -> 28 [size =\"7224320\"]\n  28 [size=\"107484160\", alpha=\"0.07\", expect_size=\"42993664\"] \n  28 -> 29 [size =\"42993664\"]\n  29 [size=\"105241600\", alpha=\"0.15\", expect_size=\"42096640\"] \n  29 -> 30 [size =\"42096640\"]\n  30 [size=\"14100480\", alpha=\"0.14\", expect_size=\"5640192\"] \n  30 -> 31 [size =\"5640192\"]\n  31 [size=\"24975360\", alpha=\"0.13\", expect_size=\"9990144\"] \n  31 -> 32 [size =\"9990144\"]\n  32 [size=\"79321600\", alpha=\"0.17\", expect_size=\"31728640\"] \n  32 -> 33 [size =\"31728640\"]\n  33 [size=\"68590080\", alpha=\"0.03\", expect_size=\"27436032\"] \n  33 -> 34 [size =\"27436032\"]\n  34 [size=\"22215680\", alpha=\"0.12\", expect_size=\"8886272\"] \n  34 -> 35 [size =\"8886272\"]\n  35 [size=\"35036160\", alpha=\"0.06\", expect_size=\"14014464\"] \n  35 -> 36 [size =\"14014464\"]\n  36 [size=\"37911040\", alpha=\"0.02\", expect_size=\"15164416\"] \n  36 -> 37 [size =\"15164416\"]\n  37 [size=\"121589760\", alpha=\"0.12\", expect_size=\"48635904\"] \n  37 -> 38 [size =\"48635904\"]\n  38 [size=\"125573120\", alpha=\"0.04\", expect_size=\"50229248\"] \n  38 -> 39 [size =\"50229248\"]\n  39 [size=\"46730240\", alpha=\"0.05\", expect_size=\"18692096\"] \n  39 -> 40 [size =\"18692096\"]\n  40 [size=\"14364160\", alpha=\"0.17\", expect_size=\"5745664\"] \n  40 -> 41 [size =\"5745664\"]\n  41 [size=\"96855040\", alpha=\"0.03\", expect_size=\"38742016\"] \n  41 -> 42 [size =\"38742016\"]\n  42 [size=\"53821440\", alpha=\"0.05\", expect_size=\"21528576\"] \n  42 -> 43 [size =\"21528576\"]\n  43 [size=\"34808320\", alpha=\"0.11\", expect_size=\"13923328\"] \n  43 -> 44 [size =\"13923328\"]\n  44 [size=\"55372800\", alpha=\"0.16\", expect_size=\"22149120\"] \n  44 -> 45 [size =\"22149120\"]\n  45 [size=\"125442560\", alpha=\"0.13\", expect_size=\"50177024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89647787\", alpha=\"0.20\", expect_size=\"26894336\"] \n  1 -> 21 [size =\"26894336\"]\n  1 -> 22 [size =\"26894336\"]\n  1 -> 26 [size =\"26894336\"]\n  1 -> 28 [size =\"26894336\"]\n  1 -> 30 [size =\"26894336\"]\n  1 -> 32 [size =\"26894336\"]\n  2 [size=\"51387733\", alpha=\"0.19\", expect_size=\"15416320\"] \n  2 -> 22 [size =\"15416320\"]\n  2 -> 22 [size =\"15416320\"]\n  2 -> 23 [size =\"15416320\"]\n  2 -> 25 [size =\"15416320\"]\n  2 -> 35 [size =\"15416320\"]\n  2 -> 36 [size =\"15416320\"]\n  2 -> 37 [size =\"15416320\"]\n  3 [size=\"95528960\", alpha=\"0.10\", expect_size=\"28658688\"] \n  3 -> 22 [size =\"28658688\"]\n  3 -> 23 [size =\"28658688\"]\n  3 -> 25 [size =\"28658688\"]\n  3 -> 25 [size =\"28658688\"]\n  3 -> 28 [size =\"28658688\"]\n  3 -> 31 [size =\"28658688\"]\n  3 -> 32 [size =\"28658688\"]\n  3 -> 33 [size =\"28658688\"]\n  3 -> 35 [size =\"28658688\"]\n  3 -> 37 [size =\"28658688\"]\n  4 [size=\"98368853\", alpha=\"0.07\", expect_size=\"29510656\"] \n  4 -> 22 [size =\"29510656\"]\n  4 -> 28 [size =\"29510656\"]\n  4 -> 30 [size =\"29510656\"]\n  4 -> 32 [size =\"29510656\"]\n  5 [size=\"163720533\", alpha=\"0.03\", expect_size=\"49116160\"] \n  5 -> 21 [size =\"49116160\"]\n  5 -> 23 [size =\"49116160\"]\n  5 -> 26 [size =\"49116160\"]\n  5 -> 27 [size =\"49116160\"]\n  5 -> 28 [size =\"49116160\"]\n  5 -> 32 [size =\"49116160\"]\n  5 -> 33 [size =\"49116160\"]\n  5 -> 34 [size =\"49116160\"]\n  5 -> 35 [size =\"49116160\"]\n  6 [size=\"148012373\", alpha=\"0.14\", expect_size=\"44403712\"] \n  6 -> 21 [size =\"44403712\"]\n  6 -> 22 [size =\"44403712\"]\n  6 -> 23 [size =\"44403712\"]\n  6 -> 27 [size =\"44403712\"]\n  6 -> 28 [size =\"44403712\"]\n  6 -> 29 [size =\"44403712\"]\n  6 -> 33 [size =\"44403712\"]\n  6 -> 34 [size =\"44403712\"]\n  6 -> 36 [size =\"44403712\"]\n  7 [size=\"83442347\", alpha=\"0.03\", expect_size=\"25032704\"] \n  7 -> 20 [size =\"25032704\"]\n  7 -> 21 [size =\"25032704\"]\n  7 -> 22 [size =\"25032704\"]\n  7 -> 23 [size =\"25032704\"]\n  7 -> 27 [size =\"25032704\"]\n  7 -> 28 [size =\"25032704\"]\n  7 -> 29 [size =\"25032704\"]\n  7 -> 30 [size =\"25032704\"]\n  7 -> 32 [size =\"25032704\"]\n  7 -> 34 [size =\"25032704\"]\n  7 -> 36 [size =\"25032704\"]\n  7 -> 37 [size =\"25032704\"]\n  8 [size=\"37990400\", alpha=\"0.19\", expect_size=\"11397120\"] \n  8 -> 20 [size =\"11397120\"]\n  8 -> 21 [size =\"11397120\"]\n  8 -> 26 [size =\"11397120\"]\n  8 -> 31 [size =\"11397120\"]\n  8 -> 32 [size =\"11397120\"]\n  8 -> 33 [size =\"11397120\"]\n  8 -> 37 [size =\"11397120\"]\n  9 [size=\"159020373\", alpha=\"0.13\", expect_size=\"47706112\"] \n  9 -> 20 [size =\"47706112\"]\n  9 -> 24 [size =\"47706112\"]\n  9 -> 25 [size =\"47706112\"]\n  9 -> 26 [size =\"47706112\"]\n  9 -> 27 [size =\"47706112\"]\n  9 -> 29 [size =\"47706112\"]\n  9 -> 30 [size =\"47706112\"]\n  9 -> 31 [size =\"47706112\"]\n  9 -> 32 [size =\"47706112\"]\n  9 -> 33 [size =\"47706112\"]\n  9 -> 35 [size =\"47706112\"]\n  9 -> 37 [size =\"47706112\"]\n  10 [size=\"112240640\", alpha=\"0.10\", expect_size=\"33672192\"] \n  10 -> 24 [size =\"33672192\"]\n  10 -> 25 [size =\"33672192\"]\n  10 -> 28 [size =\"33672192\"]\n  10 -> 31 [size =\"33672192\"]\n  10 -> 32 [size =\"33672192\"]\n  10 -> 33 [size =\"33672192\"]\n  10 -> 37 [size =\"33672192\"]\n  11 [size=\"24610133\", alpha=\"0.07\", expect_size=\"7383040\"] \n  11 -> 21 [size =\"7383040\"]\n  11 -> 22 [size =\"7383040\"]\n  11 -> 25 [size =\"7383040\"]\n  11 -> 34 [size =\"7383040\"]\n  11 -> 35 [size =\"7383040\"]\n  11 -> 37 [size =\"7383040\"]\n  12 [size=\"22722560\", alpha=\"0.17\", expect_size=\"6816768\"] \n  12 -> 25 [size =\"6816768\"]\n  12 -> 26 [size =\"6816768\"]\n  12 -> 28 [size =\"6816768\"]\n  12 -> 29 [size =\"6816768\"]\n  12 -> 33 [size =\"6816768\"]\n  12 -> 34 [size =\"6816768\"]\n  12 -> 35 [size =\"6816768\"]\n  12 -> 36 [size =\"6816768\"]\n  12 -> 37 [size =\"6816768\"]\n  13 [size=\"169256960\", alpha=\"0.20\", expect_size=\"50777088\"] \n  13 -> 22 [size =\"50777088\"]\n  13 -> 25 [size =\"50777088\"]\n  13 -> 32 [size =\"50777088\"]\n  13 -> 35 [size =\"50777088\"]\n  13 -> 36 [size =\"50777088\"]\n  13 -> 37 [size =\"50777088\"]\n  14 [size=\"86920533\", alpha=\"0.01\", expect_size=\"26076160\"] \n  14 -> 21 [size =\"26076160\"]\n  14 -> 23 [size =\"26076160\"]\n  14 -> 25 [size =\"26076160\"]\n  14 -> 31 [size =\"26076160\"]\n  14 -> 37 [size =\"26076160\"]\n  15 [size=\"140291413\", alpha=\"0.17\", expect_size=\"42087424\"] \n  15 -> 22 [size =\"42087424\"]\n  15 -> 24 [size =\"42087424\"]\n  15 -> 28 [size =\"42087424\"]\n  15 -> 29 [size =\"42087424\"]\n  15 -> 31 [size =\"42087424\"]\n  15 -> 33 [size =\"42087424\"]\n  15 -> 35 [size =\"42087424\"]\n  16 [size=\"165597867\", alpha=\"0.06\", expect_size=\"49679360\"] \n  16 -> 20 [size =\"49679360\"]\n  16 -> 24 [size =\"49679360\"]\n  16 -> 25 [size =\"49679360\"]\n  16 -> 28 [size =\"49679360\"]\n  17 [size=\"117370880\", alpha=\"0.03\", expect_size=\"35211264\"] \n  17 -> 22 [size =\"35211264\"]\n  17 -> 25 [size =\"35211264\"]\n  17 -> 26 [size =\"35211264\"]\n  17 -> 33 [size =\"35211264\"]\n  17 -> 37 [size =\"35211264\"]\n  18 [size=\"141571413\", alpha=\"0.10\", expect_size=\"42471424\"] \n  18 -> 22 [size =\"42471424\"]\n  18 -> 23 [size =\"42471424\"]\n  18 -> 26 [size =\"42471424\"]\n  18 -> 27 [size =\"42471424\"]\n  18 -> 32 [size =\"42471424\"]\n  18 -> 35 [size =\"42471424\"]\n  18 -> 37 [size =\"42471424\"]\n  19 [size=\"130020693\", alpha=\"0.14\", expect_size=\"39006208\"] \n  19 -> 21 [size =\"39006208\"]\n  19 -> 22 [size =\"39006208\"]\n  19 -> 24 [size =\"39006208\"]\n  19 -> 26 [size =\"39006208\"]\n  19 -> 27 [size =\"39006208\"]\n  19 -> 29 [size =\"39006208\"]\n  19 -> 32 [size =\"39006208\"]\n  19 -> 37 [size =\"39006208\"]\n  20 [size=\"78216533\", alpha=\"0.16\", expect_size=\"23464960\"] \n  20 -> 38 [size =\"23464960\"]\n  20 -> 41 [size =\"23464960\"]\n  20 -> 43 [size =\"23464960\"]\n  20 -> 44 [size =\"23464960\"]\n  21 [size=\"154637653\", alpha=\"0.08\", expect_size=\"46391296\"] \n  21 -> 38 [size =\"46391296\"]\n  21 -> 39 [size =\"46391296\"]\n  21 -> 41 [size =\"46391296\"]\n  21 -> 42 [size =\"46391296\"]\n  21 -> 43 [size =\"46391296\"]\n  21 -> 44 [size =\"46391296\"]\n  21 -> 45 [size =\"46391296\"]\n  22 [size=\"52691627\", alpha=\"0.03\", expect_size=\"15807488\"] \n  22 -> 39 [size =\"15807488\"]\n  22 -> 40 [size =\"15807488\"]\n  22 -> 41 [size =\"15807488\"]\n  22 -> 42 [size =\"15807488\"]\n  22 -> 44 [size =\"15807488\"]\n  22 -> 44 [size =\"15807488\"]\n  22 -> 45 [size =\"15807488\"]\n  23 [size=\"32860160\", alpha=\"0.09\", expect_size=\"9858048\"] \n  23 -> 38 [size =\"9858048\"]\n  23 -> 40 [size =\"9858048\"]\n  23 -> 41 [size =\"9858048\"]\n  23 -> 42 [size =\"9858048\"]\n  23 -> 45 [size =\"9858048\"]\n  24 [size=\"32290133\", alpha=\"0.04\", expect_size=\"9687040\"] \n  24 -> 39 [size =\"9687040\"]\n  24 -> 40 [size =\"9687040\"]\n  24 -> 42 [size =\"9687040\"]\n  24 -> 43 [size =\"9687040\"]\n  24 -> 44 [size =\"9687040\"]\n  24 -> 45 [size =\"9687040\"]\n  25 [size=\"43625813\", alpha=\"0.19\", expect_size=\"13087744\"] \n  25 -> 38 [size =\"13087744\"]\n  25 -> 39 [size =\"13087744\"]\n  25 -> 40 [size =\"13087744\"]\n  25 -> 43 [size =\"13087744\"]\n  26 [size=\"19892907\", alpha=\"0.10\", expect_size=\"5967872\"] \n  26 -> 39 [size =\"5967872\"]\n  26 -> 43 [size =\"5967872\"]\n  26 -> 44 [size =\"5967872\"]\n  27 [size=\"66955947\", alpha=\"0.09\", expect_size=\"20086784\"] \n  27 -> 40 [size =\"20086784\"]\n  27 -> 41 [size =\"20086784\"]\n  27 -> 42 [size =\"20086784\"]\n  27 -> 43 [size =\"20086784\"]\n  27 -> 44 [size =\"20086784\"]\n  27 -> 45 [size =\"20086784\"]\n  28 [size=\"86766933\", alpha=\"0.11\", expect_size=\"26030080\"] \n  28 -> 38 [size =\"26030080\"]\n  28 -> 41 [size =\"26030080\"]\n  28 -> 43 [size =\"26030080\"]\n  28 -> 43 [size =\"26030080\"]\n  29 [size=\"167106560\", alpha=\"0.11\", expect_size=\"50131968\"] \n  29 -> 38 [size =\"50131968\"]\n  29 -> 40 [size =\"50131968\"]\n  29 -> 41 [size =\"50131968\"]\n  29 -> 42 [size =\"50131968\"]\n  29 -> 43 [size =\"50131968\"]\n  30 [size=\"121224533\", alpha=\"0.03\", expect_size=\"36367360\"] \n  30 -> 38 [size =\"36367360\"]\n  30 -> 41 [size =\"36367360\"]\n  30 -> 42 [size =\"36367360\"]\n  30 -> 42 [size =\"36367360\"]\n  30 -> 43 [size =\"36367360\"]\n  30 -> 44 [size =\"36367360\"]\n  30 -> 45 [size =\"36367360\"]\n  31 [size=\"91794773\", alpha=\"0.16\", expect_size=\"27538432\"] \n  31 -> 39 [size =\"27538432\"]\n  31 -> 42 [size =\"27538432\"]\n  31 -> 43 [size =\"27538432\"]\n  32 [size=\"150995627\", alpha=\"0.10\", expect_size=\"45298688\"] \n  32 -> 39 [size =\"45298688\"]\n  32 -> 41 [size =\"45298688\"]\n  32 -> 42 [size =\"45298688\"]\n  32 -> 43 [size =\"45298688\"]\n  32 -> 44 [size =\"45298688\"]\n  33 [size=\"18158933\", alpha=\"0.03\", expect_size=\"5447680\"] \n  33 -> 41 [size =\"5447680\"]\n  33 -> 45 [size =\"5447680\"]\n  34 [size=\"85917013\", alpha=\"0.04\", expect_size=\"25775104\"] \n  34 -> 38 [size =\"25775104\"]\n  34 -> 39 [size =\"25775104\"]\n  34 -> 40 [size =\"25775104\"]\n  34 -> 42 [size =\"25775104\"]\n  34 -> 43 [size =\"25775104\"]\n  35 [size=\"120589653\", alpha=\"0.02\", expect_size=\"36176896\"] \n  35 -> 43 [size =\"36176896\"]\n  35 -> 44 [size =\"36176896\"]\n  35 -> 45 [size =\"36176896\"]\n  36 [size=\"111138133\", alpha=\"0.18\", expect_size=\"33341440\"] \n  36 -> 38 [size =\"33341440\"]\n  36 -> 40 [size =\"33341440\"]\n  36 -> 41 [size =\"33341440\"]\n  36 -> 42 [size =\"33341440\"]\n  36 -> 45 [size =\"33341440\"]\n  37 [size=\"30812160\", alpha=\"0.07\", expect_size=\"9243648\"] \n  37 -> 38 [size =\"9243648\"]\n  37 -> 40 [size =\"9243648\"]\n  37 -> 42 [size =\"9243648\"]\n  38 [size=\"102860800\", alpha=\"0.11\", expect_size=\"30858240\"] \n  39 [size=\"33228800\", alpha=\"0.10\", expect_size=\"9968640\"] \n  40 [size=\"120753493\", alpha=\"0.17\", expect_size=\"36226048\"] \n  41 [size=\"145623040\", alpha=\"0.01\", expect_size=\"43686912\"] \n  42 [size=\"114978133\", alpha=\"0.10\", expect_size=\"34493440\"] \n  43 [size=\"34065067\", alpha=\"0.01\", expect_size=\"10219520\"] \n  44 [size=\"54664533\", alpha=\"0.13\", expect_size=\"16399360\"] \n  45 [size=\"88937813\", alpha=\"0.09\", expect_size=\"26681344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88537088\", alpha=\"0.12\", expect_size=\"44268544\"] \n  1 -> 14 [size =\"44268544\"]\n  1 -> 15 [size =\"44268544\"]\n  1 -> 17 [size =\"44268544\"]\n  1 -> 18 [size =\"44268544\"]\n  1 -> 19 [size =\"44268544\"]\n  1 -> 22 [size =\"44268544\"]\n  1 -> 26 [size =\"44268544\"]\n  2 [size=\"45670400\", alpha=\"0.07\", expect_size=\"22835200\"] \n  2 -> 16 [size =\"22835200\"]\n  2 -> 17 [size =\"22835200\"]\n  2 -> 20 [size =\"22835200\"]\n  2 -> 23 [size =\"22835200\"]\n  2 -> 24 [size =\"22835200\"]\n  2 -> 26 [size =\"22835200\"]\n  3 [size=\"92817408\", alpha=\"0.03\", expect_size=\"46408704\"] \n  3 -> 19 [size =\"46408704\"]\n  3 -> 21 [size =\"46408704\"]\n  3 -> 22 [size =\"46408704\"]\n  3 -> 25 [size =\"46408704\"]\n  4 [size=\"104271872\", alpha=\"0.13\", expect_size=\"52135936\"] \n  4 -> 22 [size =\"52135936\"]\n  4 -> 23 [size =\"52135936\"]\n  5 [size=\"36462592\", alpha=\"0.13\", expect_size=\"18231296\"] \n  5 -> 14 [size =\"18231296\"]\n  5 -> 15 [size =\"18231296\"]\n  5 -> 19 [size =\"18231296\"]\n  5 -> 20 [size =\"18231296\"]\n  5 -> 22 [size =\"18231296\"]\n  5 -> 23 [size =\"18231296\"]\n  5 -> 24 [size =\"18231296\"]\n  6 [size=\"92516352\", alpha=\"0.18\", expect_size=\"46258176\"] \n  6 -> 14 [size =\"46258176\"]\n  6 -> 15 [size =\"46258176\"]\n  6 -> 17 [size =\"46258176\"]\n  6 -> 19 [size =\"46258176\"]\n  6 -> 23 [size =\"46258176\"]\n  7 [size=\"102768640\", alpha=\"0.19\", expect_size=\"51384320\"] \n  7 -> 14 [size =\"51384320\"]\n  7 -> 16 [size =\"51384320\"]\n  7 -> 19 [size =\"51384320\"]\n  7 -> 22 [size =\"51384320\"]\n  7 -> 27 [size =\"51384320\"]\n  8 [size=\"28715008\", alpha=\"0.08\", expect_size=\"14357504\"] \n  8 -> 14 [size =\"14357504\"]\n  8 -> 15 [size =\"14357504\"]\n  8 -> 24 [size =\"14357504\"]\n  8 -> 26 [size =\"14357504\"]\n  9 [size=\"81246208\", alpha=\"0.09\", expect_size=\"40623104\"] \n  9 -> 14 [size =\"40623104\"]\n  9 -> 15 [size =\"40623104\"]\n  9 -> 20 [size =\"40623104\"]\n  9 -> 23 [size =\"40623104\"]\n  9 -> 24 [size =\"40623104\"]\n  9 -> 25 [size =\"40623104\"]\n  10 [size=\"27488256\", alpha=\"0.04\", expect_size=\"13744128\"] \n  10 -> 17 [size =\"13744128\"]\n  10 -> 19 [size =\"13744128\"]\n  10 -> 20 [size =\"13744128\"]\n  10 -> 21 [size =\"13744128\"]\n  10 -> 22 [size =\"13744128\"]\n  11 [size=\"45799424\", alpha=\"0.03\", expect_size=\"22899712\"] \n  11 -> 17 [size =\"22899712\"]\n  11 -> 20 [size =\"22899712\"]\n  11 -> 20 [size =\"22899712\"]\n  11 -> 24 [size =\"22899712\"]\n  11 -> 26 [size =\"22899712\"]\n  12 [size=\"104398848\", alpha=\"0.17\", expect_size=\"52199424\"] \n  12 -> 18 [size =\"52199424\"]\n  12 -> 20 [size =\"52199424\"]\n  12 -> 23 [size =\"52199424\"]\n  12 -> 24 [size =\"52199424\"]\n  12 -> 26 [size =\"52199424\"]\n  13 [size=\"44548096\", alpha=\"0.06\", expect_size=\"22274048\"] \n  13 -> 20 [size =\"22274048\"]\n  13 -> 24 [size =\"22274048\"]\n  13 -> 26 [size =\"22274048\"]\n  14 [size=\"58619904\", alpha=\"0.13\", expect_size=\"29309952\"] \n  14 -> 29 [size =\"29309952\"]\n  14 -> 32 [size =\"29309952\"]\n  14 -> 33 [size =\"29309952\"]\n  14 -> 35 [size =\"29309952\"]\n  14 -> 40 [size =\"29309952\"]\n  15 [size=\"26112000\", alpha=\"0.05\", expect_size=\"13056000\"] \n  15 -> 29 [size =\"13056000\"]\n  15 -> 33 [size =\"13056000\"]\n  15 -> 39 [size =\"13056000\"]\n  16 [size=\"85970944\", alpha=\"0.11\", expect_size=\"42985472\"] \n  16 -> 29 [size =\"42985472\"]\n  16 -> 32 [size =\"42985472\"]\n  16 -> 35 [size =\"42985472\"]\n  16 -> 36 [size =\"42985472\"]\n  16 -> 37 [size =\"42985472\"]\n  17 [size=\"77125632\", alpha=\"0.17\", expect_size=\"38562816\"] \n  17 -> 28 [size =\"38562816\"]\n  17 -> 29 [size =\"38562816\"]\n  17 -> 34 [size =\"38562816\"]\n  17 -> 35 [size =\"38562816\"]\n  17 -> 38 [size =\"38562816\"]\n  18 [size=\"70690816\", alpha=\"0.07\", expect_size=\"35345408\"] \n  18 -> 30 [size =\"35345408\"]\n  18 -> 31 [size =\"35345408\"]\n  18 -> 32 [size =\"35345408\"]\n  18 -> 33 [size =\"35345408\"]\n  18 -> 35 [size =\"35345408\"]\n  18 -> 38 [size =\"35345408\"]\n  18 -> 41 [size =\"35345408\"]\n  19 [size=\"15493120\", alpha=\"0.16\", expect_size=\"7746560\"] \n  19 -> 28 [size =\"7746560\"]\n  19 -> 30 [size =\"7746560\"]\n  19 -> 31 [size =\"7746560\"]\n  19 -> 32 [size =\"7746560\"]\n  19 -> 33 [size =\"7746560\"]\n  19 -> 35 [size =\"7746560\"]\n  20 [size=\"59670528\", alpha=\"0.02\", expect_size=\"29835264\"] \n  20 -> 28 [size =\"29835264\"]\n  20 -> 30 [size =\"29835264\"]\n  20 -> 33 [size =\"29835264\"]\n  20 -> 34 [size =\"29835264\"]\n  20 -> 35 [size =\"29835264\"]\n  20 -> 39 [size =\"29835264\"]\n  20 -> 40 [size =\"29835264\"]\n  21 [size=\"78120960\", alpha=\"0.05\", expect_size=\"39060480\"] \n  21 -> 30 [size =\"39060480\"]\n  21 -> 34 [size =\"39060480\"]\n  21 -> 39 [size =\"39060480\"]\n  21 -> 40 [size =\"39060480\"]\n  21 -> 41 [size =\"39060480\"]\n  22 [size=\"90146816\", alpha=\"0.15\", expect_size=\"45073408\"] \n  22 -> 29 [size =\"45073408\"]\n  22 -> 30 [size =\"45073408\"]\n  22 -> 33 [size =\"45073408\"]\n  22 -> 34 [size =\"45073408\"]\n  22 -> 39 [size =\"45073408\"]\n  22 -> 40 [size =\"45073408\"]\n  22 -> 41 [size =\"45073408\"]\n  23 [size=\"78188544\", alpha=\"0.02\", expect_size=\"39094272\"] \n  23 -> 29 [size =\"39094272\"]\n  23 -> 31 [size =\"39094272\"]\n  23 -> 33 [size =\"39094272\"]\n  23 -> 34 [size =\"39094272\"]\n  23 -> 38 [size =\"39094272\"]\n  23 -> 39 [size =\"39094272\"]\n  23 -> 40 [size =\"39094272\"]\n  23 -> 41 [size =\"39094272\"]\n  24 [size=\"10723328\", alpha=\"0.09\", expect_size=\"5361664\"] \n  24 -> 31 [size =\"5361664\"]\n  24 -> 36 [size =\"5361664\"]\n  24 -> 39 [size =\"5361664\"]\n  24 -> 40 [size =\"5361664\"]\n  24 -> 41 [size =\"5361664\"]\n  25 [size=\"71647232\", alpha=\"0.02\", expect_size=\"35823616\"] \n  25 -> 30 [size =\"35823616\"]\n  25 -> 34 [size =\"35823616\"]\n  25 -> 35 [size =\"35823616\"]\n  25 -> 36 [size =\"35823616\"]\n  25 -> 37 [size =\"35823616\"]\n  25 -> 39 [size =\"35823616\"]\n  25 -> 41 [size =\"35823616\"]\n  26 [size=\"94353408\", alpha=\"0.12\", expect_size=\"47176704\"] \n  26 -> 29 [size =\"47176704\"]\n  26 -> 30 [size =\"47176704\"]\n  26 -> 32 [size =\"47176704\"]\n  26 -> 34 [size =\"47176704\"]\n  26 -> 39 [size =\"47176704\"]\n  26 -> 41 [size =\"47176704\"]\n  27 [size=\"51292160\", alpha=\"0.02\", expect_size=\"25646080\"] \n  27 -> 29 [size =\"25646080\"]\n  27 -> 33 [size =\"25646080\"]\n  27 -> 37 [size =\"25646080\"]\n  27 -> 38 [size =\"25646080\"]\n  27 -> 39 [size =\"25646080\"]\n  28 [size=\"34940928\", alpha=\"0.16\", expect_size=\"17470464\"] \n  29 [size=\"67037184\", alpha=\"0.05\", expect_size=\"33518592\"] \n  30 [size=\"48515072\", alpha=\"0.17\", expect_size=\"24257536\"] \n  31 [size=\"58351616\", alpha=\"0.17\", expect_size=\"29175808\"] \n  31 -> 42 [size =\"29175808\"]\n  32 [size=\"80230400\", alpha=\"0.16\", expect_size=\"40115200\"] \n  32 -> 42 [size =\"40115200\"]\n  32 -> 44 [size =\"40115200\"]\n  33 [size=\"54964224\", alpha=\"0.03\", expect_size=\"27482112\"] \n  33 -> 42 [size =\"27482112\"]\n  33 -> 43 [size =\"27482112\"]\n  33 -> 44 [size =\"27482112\"]\n  34 [size=\"64884736\", alpha=\"0.00\", expect_size=\"32442368\"] \n  34 -> 42 [size =\"32442368\"]\n  34 -> 43 [size =\"32442368\"]\n  34 -> 44 [size =\"32442368\"]\n  35 [size=\"15038464\", alpha=\"0.00\", expect_size=\"7519232\"] \n  35 -> 44 [size =\"7519232\"]\n  36 [size=\"25772032\", alpha=\"0.17\", expect_size=\"12886016\"] \n  36 -> 44 [size =\"12886016\"]\n  37 [size=\"84748288\", alpha=\"0.07\", expect_size=\"42374144\"] \n  37 -> 45 [size =\"42374144\"]\n  38 [size=\"95506432\", alpha=\"0.11\", expect_size=\"47753216\"] \n  39 [size=\"76277760\", alpha=\"0.15\", expect_size=\"38138880\"] \n  39 -> 44 [size =\"38138880\"]\n  40 [size=\"97824768\", alpha=\"0.10\", expect_size=\"48912384\"] \n  40 -> 42 [size =\"48912384\"]\n  40 -> 43 [size =\"48912384\"]\n  41 [size=\"82778112\", alpha=\"0.19\", expect_size=\"41389056\"] \n  42 [size=\"66455552\", alpha=\"0.05\", expect_size=\"33227776\"] \n  43 [size=\"48396288\", alpha=\"0.05\", expect_size=\"24198144\"] \n  44 [size=\"62666752\", alpha=\"0.05\", expect_size=\"31333376\"] \n  45 [size=\"63029248\", alpha=\"0.19\", expect_size=\"31514624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69765120\", alpha=\"0.04\", expect_size=\"20929536\"] \n  1 -> 20 [size =\"20929536\"]\n  1 -> 30 [size =\"20929536\"]\n  1 -> 34 [size =\"20929536\"]\n  1 -> 39 [size =\"20929536\"]\n  1 -> 40 [size =\"20929536\"]\n  1 -> 41 [size =\"20929536\"]\n  1 -> 42 [size =\"20929536\"]\n  1 -> 45 [size =\"20929536\"]\n  2 [size=\"154835627\", alpha=\"0.19\", expect_size=\"46450688\"] \n  2 -> 20 [size =\"46450688\"]\n  2 -> 26 [size =\"46450688\"]\n  2 -> 30 [size =\"46450688\"]\n  2 -> 39 [size =\"46450688\"]\n  2 -> 40 [size =\"46450688\"]\n  2 -> 42 [size =\"46450688\"]\n  2 -> 42 [size =\"46450688\"]\n  2 -> 45 [size =\"46450688\"]\n  3 [size=\"152197120\", alpha=\"0.08\", expect_size=\"45659136\"] \n  3 -> 20 [size =\"45659136\"]\n  3 -> 24 [size =\"45659136\"]\n  3 -> 29 [size =\"45659136\"]\n  3 -> 33 [size =\"45659136\"]\n  3 -> 34 [size =\"45659136\"]\n  3 -> 37 [size =\"45659136\"]\n  3 -> 39 [size =\"45659136\"]\n  3 -> 40 [size =\"45659136\"]\n  3 -> 42 [size =\"45659136\"]\n  3 -> 45 [size =\"45659136\"]\n  4 [size=\"54483627\", alpha=\"0.02\", expect_size=\"16345088\"] \n  4 -> 20 [size =\"16345088\"]\n  4 -> 25 [size =\"16345088\"]\n  4 -> 30 [size =\"16345088\"]\n  4 -> 36 [size =\"16345088\"]\n  4 -> 39 [size =\"16345088\"]\n  4 -> 40 [size =\"16345088\"]\n  4 -> 42 [size =\"16345088\"]\n  4 -> 43 [size =\"16345088\"]\n  4 -> 44 [size =\"16345088\"]\n  5 [size=\"71478613\", alpha=\"0.13\", expect_size=\"21443584\"] \n  5 -> 20 [size =\"21443584\"]\n  5 -> 25 [size =\"21443584\"]\n  5 -> 27 [size =\"21443584\"]\n  5 -> 32 [size =\"21443584\"]\n  5 -> 35 [size =\"21443584\"]\n  5 -> 39 [size =\"21443584\"]\n  5 -> 41 [size =\"21443584\"]\n  5 -> 42 [size =\"21443584\"]\n  5 -> 43 [size =\"21443584\"]\n  5 -> 44 [size =\"21443584\"]\n  6 [size=\"115500373\", alpha=\"0.14\", expect_size=\"34650112\"] \n  6 -> 20 [size =\"34650112\"]\n  6 -> 23 [size =\"34650112\"]\n  6 -> 25 [size =\"34650112\"]\n  6 -> 26 [size =\"34650112\"]\n  6 -> 27 [size =\"34650112\"]\n  6 -> 30 [size =\"34650112\"]\n  6 -> 37 [size =\"34650112\"]\n  6 -> 38 [size =\"34650112\"]\n  6 -> 39 [size =\"34650112\"]\n  6 -> 40 [size =\"34650112\"]\n  6 -> 43 [size =\"34650112\"]\n  6 -> 45 [size =\"34650112\"]\n  7 [size=\"87862613\", alpha=\"0.08\", expect_size=\"26358784\"] \n  7 -> 20 [size =\"26358784\"]\n  7 -> 23 [size =\"26358784\"]\n  7 -> 24 [size =\"26358784\"]\n  7 -> 25 [size =\"26358784\"]\n  7 -> 27 [size =\"26358784\"]\n  7 -> 34 [size =\"26358784\"]\n  7 -> 43 [size =\"26358784\"]\n  8 [size=\"100048213\", alpha=\"0.13\", expect_size=\"30014464\"] \n  8 -> 21 [size =\"30014464\"]\n  8 -> 23 [size =\"30014464\"]\n  8 -> 24 [size =\"30014464\"]\n  8 -> 27 [size =\"30014464\"]\n  8 -> 33 [size =\"30014464\"]\n  8 -> 34 [size =\"30014464\"]\n  8 -> 36 [size =\"30014464\"]\n  8 -> 38 [size =\"30014464\"]\n  8 -> 43 [size =\"30014464\"]\n  8 -> 44 [size =\"30014464\"]\n  8 -> 45 [size =\"30014464\"]\n  9 [size=\"85527893\", alpha=\"0.19\", expect_size=\"25658368\"] \n  9 -> 24 [size =\"25658368\"]\n  9 -> 30 [size =\"25658368\"]\n  9 -> 34 [size =\"25658368\"]\n  9 -> 36 [size =\"25658368\"]\n  9 -> 37 [size =\"25658368\"]\n  9 -> 38 [size =\"25658368\"]\n  9 -> 40 [size =\"25658368\"]\n  9 -> 42 [size =\"25658368\"]\n  10 [size=\"31815680\", alpha=\"0.02\", expect_size=\"9544704\"] \n  10 -> 25 [size =\"9544704\"]\n  10 -> 30 [size =\"9544704\"]\n  10 -> 32 [size =\"9544704\"]\n  10 -> 34 [size =\"9544704\"]\n  10 -> 35 [size =\"9544704\"]\n  10 -> 36 [size =\"9544704\"]\n  10 -> 37 [size =\"9544704\"]\n  10 -> 39 [size =\"9544704\"]\n  10 -> 40 [size =\"9544704\"]\n  10 -> 42 [size =\"9544704\"]\n  10 -> 43 [size =\"9544704\"]\n  10 -> 45 [size =\"9544704\"]\n  11 [size=\"136123733\", alpha=\"0.08\", expect_size=\"40837120\"] \n  11 -> 22 [size =\"40837120\"]\n  11 -> 24 [size =\"40837120\"]\n  11 -> 26 [size =\"40837120\"]\n  11 -> 30 [size =\"40837120\"]\n  11 -> 32 [size =\"40837120\"]\n  11 -> 34 [size =\"40837120\"]\n  11 -> 36 [size =\"40837120\"]\n  11 -> 37 [size =\"40837120\"]\n  11 -> 40 [size =\"40837120\"]\n  11 -> 43 [size =\"40837120\"]\n  11 -> 45 [size =\"40837120\"]\n  11 -> 45 [size =\"40837120\"]\n  12 [size=\"166847147\", alpha=\"0.05\", expect_size=\"50054144\"] \n  12 -> 23 [size =\"50054144\"]\n  12 -> 24 [size =\"50054144\"]\n  12 -> 28 [size =\"50054144\"]\n  12 -> 32 [size =\"50054144\"]\n  12 -> 34 [size =\"50054144\"]\n  12 -> 36 [size =\"50054144\"]\n  12 -> 37 [size =\"50054144\"]\n  12 -> 37 [size =\"50054144\"]\n  12 -> 39 [size =\"50054144\"]\n  12 -> 40 [size =\"50054144\"]\n  12 -> 41 [size =\"50054144\"]\n  12 -> 43 [size =\"50054144\"]\n  12 -> 45 [size =\"50054144\"]\n  13 [size=\"161047893\", alpha=\"0.16\", expect_size=\"48314368\"] \n  13 -> 24 [size =\"48314368\"]\n  13 -> 24 [size =\"48314368\"]\n  13 -> 29 [size =\"48314368\"]\n  13 -> 30 [size =\"48314368\"]\n  13 -> 32 [size =\"48314368\"]\n  13 -> 33 [size =\"48314368\"]\n  13 -> 36 [size =\"48314368\"]\n  13 -> 39 [size =\"48314368\"]\n  13 -> 39 [size =\"48314368\"]\n  13 -> 40 [size =\"48314368\"]\n  13 -> 42 [size =\"48314368\"]\n  14 [size=\"65368747\", alpha=\"0.05\", expect_size=\"19610624\"] \n  14 -> 20 [size =\"19610624\"]\n  14 -> 25 [size =\"19610624\"]\n  14 -> 26 [size =\"19610624\"]\n  14 -> 29 [size =\"19610624\"]\n  14 -> 32 [size =\"19610624\"]\n  14 -> 33 [size =\"19610624\"]\n  14 -> 34 [size =\"19610624\"]\n  14 -> 36 [size =\"19610624\"]\n  14 -> 37 [size =\"19610624\"]\n  14 -> 39 [size =\"19610624\"]\n  14 -> 42 [size =\"19610624\"]\n  15 [size=\"80749227\", alpha=\"0.06\", expect_size=\"24224768\"] \n  15 -> 20 [size =\"24224768\"]\n  15 -> 24 [size =\"24224768\"]\n  15 -> 26 [size =\"24224768\"]\n  15 -> 31 [size =\"24224768\"]\n  15 -> 34 [size =\"24224768\"]\n  15 -> 36 [size =\"24224768\"]\n  15 -> 37 [size =\"24224768\"]\n  15 -> 38 [size =\"24224768\"]\n  15 -> 39 [size =\"24224768\"]\n  15 -> 42 [size =\"24224768\"]\n  15 -> 43 [size =\"24224768\"]\n  15 -> 44 [size =\"24224768\"]\n  15 -> 45 [size =\"24224768\"]\n  16 [size=\"23975253\", alpha=\"0.07\", expect_size=\"7192576\"] \n  16 -> 20 [size =\"7192576\"]\n  16 -> 30 [size =\"7192576\"]\n  16 -> 31 [size =\"7192576\"]\n  16 -> 38 [size =\"7192576\"]\n  16 -> 43 [size =\"7192576\"]\n  16 -> 45 [size =\"7192576\"]\n  17 [size=\"133075627\", alpha=\"0.17\", expect_size=\"39922688\"] \n  17 -> 20 [size =\"39922688\"]\n  17 -> 24 [size =\"39922688\"]\n  17 -> 25 [size =\"39922688\"]\n  17 -> 30 [size =\"39922688\"]\n  17 -> 31 [size =\"39922688\"]\n  17 -> 33 [size =\"39922688\"]\n  17 -> 37 [size =\"39922688\"]\n  17 -> 40 [size =\"39922688\"]\n  17 -> 43 [size =\"39922688\"]\n  17 -> 44 [size =\"39922688\"]\n  17 -> 45 [size =\"39922688\"]\n  18 [size=\"36246187\", alpha=\"0.05\", expect_size=\"10873856\"] \n  18 -> 20 [size =\"10873856\"]\n  18 -> 23 [size =\"10873856\"]\n  18 -> 24 [size =\"10873856\"]\n  18 -> 25 [size =\"10873856\"]\n  18 -> 30 [size =\"10873856\"]\n  18 -> 32 [size =\"10873856\"]\n  18 -> 40 [size =\"10873856\"]\n  18 -> 41 [size =\"10873856\"]\n  19 [size=\"138926080\", alpha=\"0.01\", expect_size=\"41677824\"] \n  19 -> 20 [size =\"41677824\"]\n  19 -> 21 [size =\"41677824\"]\n  19 -> 25 [size =\"41677824\"]\n  19 -> 25 [size =\"41677824\"]\n  19 -> 27 [size =\"41677824\"]\n  19 -> 30 [size =\"41677824\"]\n  19 -> 38 [size =\"41677824\"]\n  19 -> 40 [size =\"41677824\"]\n  20 [size=\"128877227\", alpha=\"0.05\", expect_size=\"38663168\"] \n  21 [size=\"141984427\", alpha=\"0.16\", expect_size=\"42595328\"] \n  22 [size=\"50397867\", alpha=\"0.04\", expect_size=\"15119360\"] \n  23 [size=\"91419307\", alpha=\"0.09\", expect_size=\"27425792\"] \n  24 [size=\"59337387\", alpha=\"0.19\", expect_size=\"17801216\"] \n  25 [size=\"98317653\", alpha=\"0.16\", expect_size=\"29495296\"] \n  26 [size=\"149063680\", alpha=\"0.05\", expect_size=\"44719104\"] \n  27 [size=\"45789867\", alpha=\"0.03\", expect_size=\"13736960\"] \n  28 [size=\"23483733\", alpha=\"0.12\", expect_size=\"7045120\"] \n  29 [size=\"62679040\", alpha=\"0.10\", expect_size=\"18803712\"] \n  30 [size=\"71362560\", alpha=\"0.09\", expect_size=\"21408768\"] \n  31 [size=\"111493120\", alpha=\"0.03\", expect_size=\"33447936\"] \n  32 [size=\"78076587\", alpha=\"0.16\", expect_size=\"23422976\"] \n  33 [size=\"108475733\", alpha=\"0.08\", expect_size=\"32542720\"] \n  34 [size=\"22831787\", alpha=\"0.05\", expect_size=\"6849536\"] \n  35 [size=\"172731733\", alpha=\"0.11\", expect_size=\"51819520\"] \n  36 [size=\"140322133\", alpha=\"0.18\", expect_size=\"42096640\"] \n  37 [size=\"23623680\", alpha=\"0.19\", expect_size=\"7087104\"] \n  38 [size=\"50309120\", alpha=\"0.02\", expect_size=\"15092736\"] \n  39 [size=\"145670827\", alpha=\"0.02\", expect_size=\"43701248\"] \n  40 [size=\"63187627\", alpha=\"0.15\", expect_size=\"18956288\"] \n  41 [size=\"131775147\", alpha=\"0.04\", expect_size=\"39532544\"] \n  42 [size=\"155508053\", alpha=\"0.17\", expect_size=\"46652416\"] \n  43 [size=\"126474240\", alpha=\"0.20\", expect_size=\"37942272\"] \n  44 [size=\"30962347\", alpha=\"0.08\", expect_size=\"9288704\"] \n  45 [size=\"74147840\", alpha=\"0.06\", expect_size=\"22244352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96946176\", alpha=\"0.12\", expect_size=\"48473088\"] \n  1 -> 5 [size =\"48473088\"]\n  2 [size=\"23150592\", alpha=\"0.16\", expect_size=\"11575296\"] \n  2 -> 3 [size =\"11575296\"]\n  2 -> 4 [size =\"11575296\"]\n  3 [size=\"91975680\", alpha=\"0.07\", expect_size=\"45987840\"] \n  4 [size=\"30590976\", alpha=\"0.15\", expect_size=\"15295488\"] \n  4 -> 6 [size =\"15295488\"]\n  5 [size=\"100251648\", alpha=\"0.14\", expect_size=\"50125824\"] \n  5 -> 7 [size =\"50125824\"]\n  5 -> 8 [size =\"50125824\"]\n  6 [size=\"94717952\", alpha=\"0.06\", expect_size=\"47358976\"] \n  6 -> 9 [size =\"47358976\"]\n  7 [size=\"77654016\", alpha=\"0.07\", expect_size=\"38827008\"] \n  7 -> 10 [size =\"38827008\"]\n  8 [size=\"75048960\", alpha=\"0.15\", expect_size=\"37524480\"] \n  9 [size=\"33970176\", alpha=\"0.19\", expect_size=\"16985088\"] \n  9 -> 11 [size =\"16985088\"]\n  10 [size=\"65398784\", alpha=\"0.09\", expect_size=\"32699392\"] \n  10 -> 12 [size =\"32699392\"]\n  10 -> 13 [size =\"32699392\"]\n  11 [size=\"80422912\", alpha=\"0.10\", expect_size=\"40211456\"] \n  11 -> 15 [size =\"40211456\"]\n  12 [size=\"42743808\", alpha=\"0.16\", expect_size=\"21371904\"] \n  12 -> 14 [size =\"21371904\"]\n  12 -> 16 [size =\"21371904\"]\n  13 [size=\"21696512\", alpha=\"0.08\", expect_size=\"10848256\"] \n  14 [size=\"55984128\", alpha=\"0.11\", expect_size=\"27992064\"] \n  14 -> 17 [size =\"27992064\"]\n  15 [size=\"30652416\", alpha=\"0.01\", expect_size=\"15326208\"] \n  15 -> 18 [size =\"15326208\"]\n  16 [size=\"98856960\", alpha=\"0.00\", expect_size=\"49428480\"] \n  16 -> 17 [size =\"49428480\"]\n  17 [size=\"31688704\", alpha=\"0.01\", expect_size=\"15844352\"] \n  17 -> 19 [size =\"15844352\"]\n  18 [size=\"64151552\", alpha=\"0.16\", expect_size=\"32075776\"] \n  18 -> 20 [size =\"32075776\"]\n  19 [size=\"41277440\", alpha=\"0.07\", expect_size=\"20638720\"] \n  19 -> 21 [size =\"20638720\"]\n  19 -> 22 [size =\"20638720\"]\n  20 [size=\"37748736\", alpha=\"0.07\", expect_size=\"18874368\"] \n  20 -> 23 [size =\"18874368\"]\n  21 [size=\"82036736\", alpha=\"0.05\", expect_size=\"41018368\"] \n  21 -> 26 [size =\"41018368\"]\n  22 [size=\"34103296\", alpha=\"0.07\", expect_size=\"17051648\"] \n  22 -> 25 [size =\"17051648\"]\n  23 [size=\"14174208\", alpha=\"0.05\", expect_size=\"7087104\"] \n  23 -> 24 [size =\"7087104\"]\n  23 -> 25 [size =\"7087104\"]\n  24 [size=\"52738048\", alpha=\"0.08\", expect_size=\"26369024\"] \n  24 -> 27 [size =\"26369024\"]\n  25 [size=\"103714816\", alpha=\"0.10\", expect_size=\"51857408\"] \n  25 -> 28 [size =\"51857408\"]\n  26 [size=\"12947456\", alpha=\"0.10\", expect_size=\"6473728\"] \n  27 [size=\"14254080\", alpha=\"0.04\", expect_size=\"7127040\"] \n  28 [size=\"19777536\", alpha=\"0.11\", expect_size=\"9888768\"] \n  28 -> 29 [size =\"9888768\"]\n  28 -> 30 [size =\"9888768\"]\n  28 -> 31 [size =\"9888768\"]\n  29 [size=\"96456704\", alpha=\"0.04\", expect_size=\"48228352\"] \n  29 -> 32 [size =\"48228352\"]\n  30 [size=\"32929792\", alpha=\"0.08\", expect_size=\"16464896\"] \n  30 -> 34 [size =\"16464896\"]\n  31 [size=\"65251328\", alpha=\"0.07\", expect_size=\"32625664\"] \n  31 -> 33 [size =\"32625664\"]\n  32 [size=\"91140096\", alpha=\"0.13\", expect_size=\"45570048\"] \n  33 [size=\"28889088\", alpha=\"0.02\", expect_size=\"14444544\"] \n  33 -> 36 [size =\"14444544\"]\n  34 [size=\"54360064\", alpha=\"0.20\", expect_size=\"27180032\"] \n  34 -> 35 [size =\"27180032\"]\n  34 -> 36 [size =\"27180032\"]\n  35 [size=\"93290496\", alpha=\"0.02\", expect_size=\"46645248\"] \n  35 -> 37 [size =\"46645248\"]\n  36 [size=\"46702592\", alpha=\"0.03\", expect_size=\"23351296\"] \n  36 -> 38 [size =\"23351296\"]\n  37 [size=\"93202432\", alpha=\"0.08\", expect_size=\"46601216\"] \n  37 -> 39 [size =\"46601216\"]\n  37 -> 41 [size =\"46601216\"]\n  38 [size=\"16844800\", alpha=\"0.05\", expect_size=\"8422400\"] \n  38 -> 40 [size =\"8422400\"]\n  39 [size=\"70934528\", alpha=\"0.08\", expect_size=\"35467264\"] \n  39 -> 42 [size =\"35467264\"]\n  39 -> 43 [size =\"35467264\"]\n  39 -> 44 [size =\"35467264\"]\n  40 [size=\"90216448\", alpha=\"0.17\", expect_size=\"45108224\"] \n  40 -> 43 [size =\"45108224\"]\n  41 [size=\"35231744\", alpha=\"0.02\", expect_size=\"17615872\"] \n  41 -> 44 [size =\"17615872\"]\n  42 [size=\"70291456\", alpha=\"0.11\", expect_size=\"35145728\"] \n  42 -> 45 [size =\"35145728\"]\n  43 [size=\"38907904\", alpha=\"0.01\", expect_size=\"19453952\"] \n  44 [size=\"46669824\", alpha=\"0.00\", expect_size=\"23334912\"] \n  45 [size=\"44699648\", alpha=\"0.19\", expect_size=\"22349824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50747392\", alpha=\"0.06\", expect_size=\"25373696\"] \n  1 -> 16 [size =\"25373696\"]\n  1 -> 24 [size =\"25373696\"]\n  1 -> 25 [size =\"25373696\"]\n  2 [size=\"70633472\", alpha=\"0.17\", expect_size=\"35316736\"] \n  2 -> 16 [size =\"35316736\"]\n  2 -> 17 [size =\"35316736\"]\n  2 -> 23 [size =\"35316736\"]\n  2 -> 25 [size =\"35316736\"]\n  3 [size=\"97536000\", alpha=\"0.01\", expect_size=\"48768000\"] \n  3 -> 19 [size =\"48768000\"]\n  3 -> 20 [size =\"48768000\"]\n  3 -> 23 [size =\"48768000\"]\n  3 -> 25 [size =\"48768000\"]\n  4 [size=\"38449152\", alpha=\"0.18\", expect_size=\"19224576\"] \n  4 -> 18 [size =\"19224576\"]\n  4 -> 19 [size =\"19224576\"]\n  4 -> 22 [size =\"19224576\"]\n  4 -> 23 [size =\"19224576\"]\n  4 -> 25 [size =\"19224576\"]\n  4 -> 26 [size =\"19224576\"]\n  5 [size=\"91201536\", alpha=\"0.16\", expect_size=\"45600768\"] \n  5 -> 23 [size =\"45600768\"]\n  5 -> 26 [size =\"45600768\"]\n  6 [size=\"88719360\", alpha=\"0.15\", expect_size=\"44359680\"] \n  6 -> 16 [size =\"44359680\"]\n  6 -> 18 [size =\"44359680\"]\n  6 -> 22 [size =\"44359680\"]\n  6 -> 23 [size =\"44359680\"]\n  7 [size=\"74809344\", alpha=\"0.16\", expect_size=\"37404672\"] \n  7 -> 18 [size =\"37404672\"]\n  7 -> 22 [size =\"37404672\"]\n  7 -> 25 [size =\"37404672\"]\n  8 [size=\"62740480\", alpha=\"0.12\", expect_size=\"31370240\"] \n  8 -> 18 [size =\"31370240\"]\n  8 -> 21 [size =\"31370240\"]\n  8 -> 25 [size =\"31370240\"]\n  9 [size=\"84785152\", alpha=\"0.03\", expect_size=\"42392576\"] \n  9 -> 17 [size =\"42392576\"]\n  9 -> 18 [size =\"42392576\"]\n  9 -> 19 [size =\"42392576\"]\n  9 -> 20 [size =\"42392576\"]\n  10 [size=\"44939264\", alpha=\"0.14\", expect_size=\"22469632\"] \n  10 -> 17 [size =\"22469632\"]\n  10 -> 18 [size =\"22469632\"]\n  10 -> 19 [size =\"22469632\"]\n  10 -> 22 [size =\"22469632\"]\n  10 -> 23 [size =\"22469632\"]\n  10 -> 25 [size =\"22469632\"]\n  11 [size=\"102651904\", alpha=\"0.19\", expect_size=\"51325952\"] \n  11 -> 16 [size =\"51325952\"]\n  11 -> 18 [size =\"51325952\"]\n  11 -> 19 [size =\"51325952\"]\n  11 -> 22 [size =\"51325952\"]\n  11 -> 23 [size =\"51325952\"]\n  11 -> 25 [size =\"51325952\"]\n  12 [size=\"35045376\", alpha=\"0.11\", expect_size=\"17522688\"] \n  12 -> 17 [size =\"17522688\"]\n  12 -> 18 [size =\"17522688\"]\n  12 -> 19 [size =\"17522688\"]\n  12 -> 20 [size =\"17522688\"]\n  12 -> 23 [size =\"17522688\"]\n  12 -> 25 [size =\"17522688\"]\n  13 [size=\"22784000\", alpha=\"0.08\", expect_size=\"11392000\"] \n  13 -> 18 [size =\"11392000\"]\n  13 -> 19 [size =\"11392000\"]\n  13 -> 19 [size =\"11392000\"]\n  13 -> 22 [size =\"11392000\"]\n  13 -> 23 [size =\"11392000\"]\n  13 -> 24 [size =\"11392000\"]\n  13 -> 25 [size =\"11392000\"]\n  14 [size=\"27772928\", alpha=\"0.04\", expect_size=\"13886464\"] \n  14 -> 17 [size =\"13886464\"]\n  14 -> 19 [size =\"13886464\"]\n  14 -> 22 [size =\"13886464\"]\n  14 -> 23 [size =\"13886464\"]\n  14 -> 25 [size =\"13886464\"]\n  15 [size=\"19177472\", alpha=\"0.08\", expect_size=\"9588736\"] \n  15 -> 17 [size =\"9588736\"]\n  15 -> 18 [size =\"9588736\"]\n  15 -> 23 [size =\"9588736\"]\n  15 -> 24 [size =\"9588736\"]\n  15 -> 25 [size =\"9588736\"]\n  16 [size=\"93642752\", alpha=\"0.03\", expect_size=\"46821376\"] \n  16 -> 28 [size =\"46821376\"]\n  16 -> 29 [size =\"46821376\"]\n  16 -> 30 [size =\"46821376\"]\n  16 -> 32 [size =\"46821376\"]\n  16 -> 35 [size =\"46821376\"]\n  16 -> 36 [size =\"46821376\"]\n  16 -> 40 [size =\"46821376\"]\n  17 [size=\"67870720\", alpha=\"0.13\", expect_size=\"33935360\"] \n  17 -> 27 [size =\"33935360\"]\n  17 -> 28 [size =\"33935360\"]\n  17 -> 29 [size =\"33935360\"]\n  17 -> 30 [size =\"33935360\"]\n  17 -> 33 [size =\"33935360\"]\n  17 -> 34 [size =\"33935360\"]\n  17 -> 36 [size =\"33935360\"]\n  17 -> 37 [size =\"33935360\"]\n  17 -> 38 [size =\"33935360\"]\n  18 [size=\"49403904\", alpha=\"0.08\", expect_size=\"24701952\"] \n  18 -> 29 [size =\"24701952\"]\n  18 -> 30 [size =\"24701952\"]\n  18 -> 35 [size =\"24701952\"]\n  18 -> 36 [size =\"24701952\"]\n  18 -> 37 [size =\"24701952\"]\n  18 -> 40 [size =\"24701952\"]\n  19 [size=\"104378368\", alpha=\"0.04\", expect_size=\"52189184\"] \n  19 -> 27 [size =\"52189184\"]\n  19 -> 29 [size =\"52189184\"]\n  19 -> 33 [size =\"52189184\"]\n  19 -> 36 [size =\"52189184\"]\n  19 -> 37 [size =\"52189184\"]\n  19 -> 40 [size =\"52189184\"]\n  20 [size=\"24911872\", alpha=\"0.07\", expect_size=\"12455936\"] \n  20 -> 27 [size =\"12455936\"]\n  20 -> 29 [size =\"12455936\"]\n  20 -> 30 [size =\"12455936\"]\n  20 -> 33 [size =\"12455936\"]\n  20 -> 34 [size =\"12455936\"]\n  20 -> 36 [size =\"12455936\"]\n  20 -> 37 [size =\"12455936\"]\n  20 -> 39 [size =\"12455936\"]\n  20 -> 40 [size =\"12455936\"]\n  21 [size=\"90976256\", alpha=\"0.19\", expect_size=\"45488128\"] \n  21 -> 27 [size =\"45488128\"]\n  21 -> 29 [size =\"45488128\"]\n  21 -> 33 [size =\"45488128\"]\n  21 -> 36 [size =\"45488128\"]\n  21 -> 37 [size =\"45488128\"]\n  21 -> 40 [size =\"45488128\"]\n  22 [size=\"86761472\", alpha=\"0.03\", expect_size=\"43380736\"] \n  22 -> 29 [size =\"43380736\"]\n  22 -> 29 [size =\"43380736\"]\n  22 -> 33 [size =\"43380736\"]\n  22 -> 34 [size =\"43380736\"]\n  22 -> 35 [size =\"43380736\"]\n  22 -> 36 [size =\"43380736\"]\n  22 -> 37 [size =\"43380736\"]\n  22 -> 40 [size =\"43380736\"]\n  23 [size=\"42604544\", alpha=\"0.06\", expect_size=\"21302272\"] \n  23 -> 28 [size =\"21302272\"]\n  23 -> 29 [size =\"21302272\"]\n  23 -> 33 [size =\"21302272\"]\n  23 -> 34 [size =\"21302272\"]\n  23 -> 37 [size =\"21302272\"]\n  23 -> 40 [size =\"21302272\"]\n  24 [size=\"81543168\", alpha=\"0.14\", expect_size=\"40771584\"] \n  24 -> 30 [size =\"40771584\"]\n  24 -> 33 [size =\"40771584\"]\n  24 -> 33 [size =\"40771584\"]\n  24 -> 34 [size =\"40771584\"]\n  24 -> 37 [size =\"40771584\"]\n  24 -> 40 [size =\"40771584\"]\n  25 [size=\"102223872\", alpha=\"0.20\", expect_size=\"51111936\"] \n  25 -> 29 [size =\"51111936\"]\n  25 -> 30 [size =\"51111936\"]\n  25 -> 31 [size =\"51111936\"]\n  25 -> 33 [size =\"51111936\"]\n  25 -> 34 [size =\"51111936\"]\n  25 -> 36 [size =\"51111936\"]\n  25 -> 37 [size =\"51111936\"]\n  25 -> 40 [size =\"51111936\"]\n  26 [size=\"45137920\", alpha=\"0.02\", expect_size=\"22568960\"] \n  26 -> 30 [size =\"22568960\"]\n  26 -> 33 [size =\"22568960\"]\n  26 -> 36 [size =\"22568960\"]\n  26 -> 37 [size =\"22568960\"]\n  26 -> 40 [size =\"22568960\"]\n  27 [size=\"57047040\", alpha=\"0.18\", expect_size=\"28523520\"] \n  27 -> 41 [size =\"28523520\"]\n  27 -> 42 [size =\"28523520\"]\n  27 -> 43 [size =\"28523520\"]\n  27 -> 45 [size =\"28523520\"]\n  28 [size=\"21936128\", alpha=\"0.05\", expect_size=\"10968064\"] \n  28 -> 45 [size =\"10968064\"]\n  29 [size=\"58691584\", alpha=\"0.08\", expect_size=\"29345792\"] \n  29 -> 45 [size =\"29345792\"]\n  30 [size=\"79708160\", alpha=\"0.18\", expect_size=\"39854080\"] \n  30 -> 42 [size =\"39854080\"]\n  30 -> 45 [size =\"39854080\"]\n  31 [size=\"20019200\", alpha=\"0.07\", expect_size=\"10009600\"] \n  31 -> 42 [size =\"10009600\"]\n  31 -> 44 [size =\"10009600\"]\n  31 -> 45 [size =\"10009600\"]\n  32 [size=\"14260224\", alpha=\"0.02\", expect_size=\"7130112\"] \n  32 -> 42 [size =\"7130112\"]\n  32 -> 43 [size =\"7130112\"]\n  32 -> 45 [size =\"7130112\"]\n  33 [size=\"28207104\", alpha=\"0.19\", expect_size=\"14103552\"] \n  33 -> 42 [size =\"14103552\"]\n  33 -> 43 [size =\"14103552\"]\n  33 -> 45 [size =\"14103552\"]\n  34 [size=\"54540288\", alpha=\"0.00\", expect_size=\"27270144\"] \n  34 -> 42 [size =\"27270144\"]\n  34 -> 43 [size =\"27270144\"]\n  34 -> 44 [size =\"27270144\"]\n  35 [size=\"26853376\", alpha=\"0.03\", expect_size=\"13426688\"] \n  35 -> 41 [size =\"13426688\"]\n  35 -> 42 [size =\"13426688\"]\n  35 -> 43 [size =\"13426688\"]\n  36 [size=\"25862144\", alpha=\"0.03\", expect_size=\"12931072\"] \n  36 -> 42 [size =\"12931072\"]\n  36 -> 42 [size =\"12931072\"]\n  36 -> 43 [size =\"12931072\"]\n  36 -> 45 [size =\"12931072\"]\n  37 [size=\"35430400\", alpha=\"0.16\", expect_size=\"17715200\"] \n  37 -> 42 [size =\"17715200\"]\n  37 -> 44 [size =\"17715200\"]\n  38 [size=\"25513984\", alpha=\"0.17\", expect_size=\"12756992\"] \n  38 -> 42 [size =\"12756992\"]\n  38 -> 44 [size =\"12756992\"]\n  38 -> 45 [size =\"12756992\"]\n  39 [size=\"48363520\", alpha=\"0.18\", expect_size=\"24181760\"] \n  39 -> 41 [size =\"24181760\"]\n  39 -> 43 [size =\"24181760\"]\n  39 -> 44 [size =\"24181760\"]\n  39 -> 45 [size =\"24181760\"]\n  40 [size=\"83912704\", alpha=\"0.02\", expect_size=\"41956352\"] \n  40 -> 42 [size =\"41956352\"]\n  40 -> 43 [size =\"41956352\"]\n  40 -> 44 [size =\"41956352\"]\n  41 [size=\"72239104\", alpha=\"0.02\", expect_size=\"36119552\"] \n  42 [size=\"11141120\", alpha=\"0.19\", expect_size=\"5570560\"] \n  43 [size=\"19550208\", alpha=\"0.03\", expect_size=\"9775104\"] \n  44 [size=\"15390720\", alpha=\"0.02\", expect_size=\"7695360\"] \n  45 [size=\"15955968\", alpha=\"0.01\", expect_size=\"7977984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56958293\", alpha=\"0.14\", expect_size=\"17087488\"] \n  1 -> 20 [size =\"17087488\"]\n  1 -> 22 [size =\"17087488\"]\n  1 -> 24 [size =\"17087488\"]\n  1 -> 27 [size =\"17087488\"]\n  1 -> 28 [size =\"17087488\"]\n  1 -> 29 [size =\"17087488\"]\n  1 -> 30 [size =\"17087488\"]\n  1 -> 31 [size =\"17087488\"]\n  2 [size=\"18210133\", alpha=\"0.14\", expect_size=\"5463040\"] \n  2 -> 20 [size =\"5463040\"]\n  2 -> 23 [size =\"5463040\"]\n  2 -> 24 [size =\"5463040\"]\n  2 -> 27 [size =\"5463040\"]\n  2 -> 28 [size =\"5463040\"]\n  3 [size=\"23459840\", alpha=\"0.04\", expect_size=\"7037952\"] \n  3 -> 20 [size =\"7037952\"]\n  3 -> 23 [size =\"7037952\"]\n  3 -> 26 [size =\"7037952\"]\n  3 -> 27 [size =\"7037952\"]\n  4 [size=\"151746560\", alpha=\"0.16\", expect_size=\"45523968\"] \n  4 -> 21 [size =\"45523968\"]\n  4 -> 23 [size =\"45523968\"]\n  4 -> 27 [size =\"45523968\"]\n  4 -> 32 [size =\"45523968\"]\n  5 [size=\"68710400\", alpha=\"0.04\", expect_size=\"20613120\"] \n  5 -> 22 [size =\"20613120\"]\n  5 -> 23 [size =\"20613120\"]\n  5 -> 24 [size =\"20613120\"]\n  6 [size=\"44581547\", alpha=\"0.17\", expect_size=\"13374464\"] \n  6 -> 20 [size =\"13374464\"]\n  6 -> 22 [size =\"13374464\"]\n  6 -> 23 [size =\"13374464\"]\n  6 -> 26 [size =\"13374464\"]\n  6 -> 33 [size =\"13374464\"]\n  7 [size=\"69580800\", alpha=\"0.15\", expect_size=\"20874240\"] \n  7 -> 19 [size =\"20874240\"]\n  7 -> 24 [size =\"20874240\"]\n  7 -> 27 [size =\"20874240\"]\n  7 -> 32 [size =\"20874240\"]\n  8 [size=\"58088107\", alpha=\"0.13\", expect_size=\"17426432\"] \n  8 -> 20 [size =\"17426432\"]\n  8 -> 24 [size =\"17426432\"]\n  9 [size=\"90883413\", alpha=\"0.09\", expect_size=\"27265024\"] \n  10 [size=\"156088320\", alpha=\"0.02\", expect_size=\"46826496\"] \n  10 -> 24 [size =\"46826496\"]\n  10 -> 26 [size =\"46826496\"]\n  10 -> 28 [size =\"46826496\"]\n  10 -> 31 [size =\"46826496\"]\n  11 [size=\"100249600\", alpha=\"0.08\", expect_size=\"30074880\"] \n  11 -> 22 [size =\"30074880\"]\n  11 -> 24 [size =\"30074880\"]\n  11 -> 25 [size =\"30074880\"]\n  12 [size=\"52131840\", alpha=\"0.02\", expect_size=\"15639552\"] \n  12 -> 19 [size =\"15639552\"]\n  12 -> 20 [size =\"15639552\"]\n  12 -> 22 [size =\"15639552\"]\n  12 -> 26 [size =\"15639552\"]\n  12 -> 28 [size =\"15639552\"]\n  13 [size=\"159761067\", alpha=\"0.11\", expect_size=\"47928320\"] \n  13 -> 19 [size =\"47928320\"]\n  13 -> 22 [size =\"47928320\"]\n  13 -> 23 [size =\"47928320\"]\n  13 -> 25 [size =\"47928320\"]\n  13 -> 26 [size =\"47928320\"]\n  13 -> 33 [size =\"47928320\"]\n  14 [size=\"33969493\", alpha=\"0.19\", expect_size=\"10190848\"] \n  14 -> 26 [size =\"10190848\"]\n  14 -> 27 [size =\"10190848\"]\n  14 -> 32 [size =\"10190848\"]\n  15 [size=\"157436587\", alpha=\"0.03\", expect_size=\"47230976\"] \n  15 -> 20 [size =\"47230976\"]\n  15 -> 22 [size =\"47230976\"]\n  15 -> 24 [size =\"47230976\"]\n  15 -> 26 [size =\"47230976\"]\n  15 -> 28 [size =\"47230976\"]\n  15 -> 30 [size =\"47230976\"]\n  15 -> 31 [size =\"47230976\"]\n  15 -> 32 [size =\"47230976\"]\n  16 [size=\"31433387\", alpha=\"0.16\", expect_size=\"9430016\"] \n  16 -> 20 [size =\"9430016\"]\n  16 -> 24 [size =\"9430016\"]\n  16 -> 26 [size =\"9430016\"]\n  16 -> 27 [size =\"9430016\"]\n  16 -> 31 [size =\"9430016\"]\n  16 -> 32 [size =\"9430016\"]\n  17 [size=\"168174933\", alpha=\"0.18\", expect_size=\"50452480\"] \n  17 -> 20 [size =\"50452480\"]\n  17 -> 22 [size =\"50452480\"]\n  17 -> 23 [size =\"50452480\"]\n  17 -> 24 [size =\"50452480\"]\n  17 -> 26 [size =\"50452480\"]\n  17 -> 32 [size =\"50452480\"]\n  17 -> 33 [size =\"50452480\"]\n  18 [size=\"126733653\", alpha=\"0.08\", expect_size=\"38020096\"] \n  18 -> 20 [size =\"38020096\"]\n  18 -> 22 [size =\"38020096\"]\n  18 -> 23 [size =\"38020096\"]\n  18 -> 24 [size =\"38020096\"]\n  18 -> 25 [size =\"38020096\"]\n  18 -> 27 [size =\"38020096\"]\n  18 -> 30 [size =\"38020096\"]\n  18 -> 32 [size =\"38020096\"]\n  19 [size=\"75226453\", alpha=\"0.18\", expect_size=\"22567936\"] \n  19 -> 36 [size =\"22567936\"]\n  19 -> 39 [size =\"22567936\"]\n  20 [size=\"146196480\", alpha=\"0.03\", expect_size=\"43858944\"] \n  20 -> 34 [size =\"43858944\"]\n  20 -> 38 [size =\"43858944\"]\n  20 -> 39 [size =\"43858944\"]\n  20 -> 40 [size =\"43858944\"]\n  20 -> 41 [size =\"43858944\"]\n  21 [size=\"159986347\", alpha=\"0.13\", expect_size=\"47995904\"] \n  21 -> 34 [size =\"47995904\"]\n  21 -> 36 [size =\"47995904\"]\n  21 -> 37 [size =\"47995904\"]\n  21 -> 38 [size =\"47995904\"]\n  21 -> 39 [size =\"47995904\"]\n  21 -> 43 [size =\"47995904\"]\n  22 [size=\"62627840\", alpha=\"0.04\", expect_size=\"18788352\"] \n  22 -> 34 [size =\"18788352\"]\n  22 -> 36 [size =\"18788352\"]\n  22 -> 39 [size =\"18788352\"]\n  22 -> 43 [size =\"18788352\"]\n  22 -> 45 [size =\"18788352\"]\n  23 [size=\"79452160\", alpha=\"0.15\", expect_size=\"23835648\"] \n  23 -> 36 [size =\"23835648\"]\n  23 -> 42 [size =\"23835648\"]\n  23 -> 43 [size =\"23835648\"]\n  24 [size=\"165451093\", alpha=\"0.03\", expect_size=\"49635328\"] \n  24 -> 34 [size =\"49635328\"]\n  24 -> 36 [size =\"49635328\"]\n  24 -> 38 [size =\"49635328\"]\n  24 -> 39 [size =\"49635328\"]\n  24 -> 41 [size =\"49635328\"]\n  25 [size=\"156801707\", alpha=\"0.18\", expect_size=\"47040512\"] \n  25 -> 34 [size =\"47040512\"]\n  25 -> 36 [size =\"47040512\"]\n  25 -> 40 [size =\"47040512\"]\n  25 -> 42 [size =\"47040512\"]\n  25 -> 45 [size =\"47040512\"]\n  26 [size=\"24965120\", alpha=\"0.16\", expect_size=\"7489536\"] \n  26 -> 34 [size =\"7489536\"]\n  26 -> 41 [size =\"7489536\"]\n  26 -> 42 [size =\"7489536\"]\n  27 [size=\"152784213\", alpha=\"0.01\", expect_size=\"45835264\"] \n  27 -> 34 [size =\"45835264\"]\n  27 -> 39 [size =\"45835264\"]\n  27 -> 42 [size =\"45835264\"]\n  28 [size=\"136727893\", alpha=\"0.11\", expect_size=\"41018368\"] \n  28 -> 34 [size =\"41018368\"]\n  28 -> 38 [size =\"41018368\"]\n  28 -> 43 [size =\"41018368\"]\n  29 [size=\"43622400\", alpha=\"0.10\", expect_size=\"13086720\"] \n  29 -> 35 [size =\"13086720\"]\n  29 -> 39 [size =\"13086720\"]\n  29 -> 43 [size =\"13086720\"]\n  29 -> 44 [size =\"13086720\"]\n  30 [size=\"24418987\", alpha=\"0.07\", expect_size=\"7325696\"] \n  30 -> 35 [size =\"7325696\"]\n  30 -> 36 [size =\"7325696\"]\n  30 -> 41 [size =\"7325696\"]\n  30 -> 44 [size =\"7325696\"]\n  30 -> 45 [size =\"7325696\"]\n  31 [size=\"46725120\", alpha=\"0.14\", expect_size=\"14017536\"] \n  31 -> 38 [size =\"14017536\"]\n  31 -> 40 [size =\"14017536\"]\n  31 -> 44 [size =\"14017536\"]\n  31 -> 45 [size =\"14017536\"]\n  32 [size=\"150026240\", alpha=\"0.06\", expect_size=\"45007872\"] \n  32 -> 36 [size =\"45007872\"]\n  32 -> 38 [size =\"45007872\"]\n  32 -> 40 [size =\"45007872\"]\n  33 [size=\"20483413\", alpha=\"0.16\", expect_size=\"6145024\"] \n  33 -> 34 [size =\"6145024\"]\n  33 -> 35 [size =\"6145024\"]\n  33 -> 39 [size =\"6145024\"]\n  33 -> 40 [size =\"6145024\"]\n  33 -> 43 [size =\"6145024\"]\n  33 -> 44 [size =\"6145024\"]\n  34 [size=\"135942827\", alpha=\"0.08\", expect_size=\"40782848\"] \n  35 [size=\"158818987\", alpha=\"0.18\", expect_size=\"47645696\"] \n  36 [size=\"140342613\", alpha=\"0.10\", expect_size=\"42102784\"] \n  37 [size=\"107618987\", alpha=\"0.01\", expect_size=\"32285696\"] \n  38 [size=\"112759467\", alpha=\"0.05\", expect_size=\"33827840\"] \n  39 [size=\"39086080\", alpha=\"0.17\", expect_size=\"11725824\"] \n  40 [size=\"117299200\", alpha=\"0.06\", expect_size=\"35189760\"] \n  41 [size=\"171431253\", alpha=\"0.12\", expect_size=\"51429376\"] \n  42 [size=\"126976000\", alpha=\"0.04\", expect_size=\"38092800\"] \n  43 [size=\"18589013\", alpha=\"0.05\", expect_size=\"5576704\"] \n  44 [size=\"145844907\", alpha=\"0.04\", expect_size=\"43753472\"] \n  45 [size=\"53377707\", alpha=\"0.00\", expect_size=\"16013312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22104064\", alpha=\"0.02\", expect_size=\"11052032\"] \n  1 -> 2 [size =\"11052032\"]\n  2 [size=\"44425216\", alpha=\"0.02\", expect_size=\"22212608\"] \n  2 -> 3 [size =\"22212608\"]\n  3 [size=\"46802944\", alpha=\"0.12\", expect_size=\"23401472\"] \n  3 -> 4 [size =\"23401472\"]\n  4 [size=\"93253632\", alpha=\"0.11\", expect_size=\"46626816\"] \n  4 -> 5 [size =\"46626816\"]\n  5 [size=\"103469056\", alpha=\"0.05\", expect_size=\"51734528\"] \n  5 -> 6 [size =\"51734528\"]\n  6 [size=\"65552384\", alpha=\"0.08\", expect_size=\"32776192\"] \n  6 -> 7 [size =\"32776192\"]\n  7 [size=\"71641088\", alpha=\"0.10\", expect_size=\"35820544\"] \n  7 -> 8 [size =\"35820544\"]\n  8 [size=\"93353984\", alpha=\"0.06\", expect_size=\"46676992\"] \n  8 -> 9 [size =\"46676992\"]\n  9 [size=\"98156544\", alpha=\"0.06\", expect_size=\"49078272\"] \n  9 -> 10 [size =\"49078272\"]\n  10 [size=\"99577856\", alpha=\"0.09\", expect_size=\"49788928\"] \n  10 -> 11 [size =\"49788928\"]\n  11 [size=\"101750784\", alpha=\"0.18\", expect_size=\"50875392\"] \n  11 -> 12 [size =\"50875392\"]\n  12 [size=\"17760256\", alpha=\"0.17\", expect_size=\"8880128\"] \n  12 -> 13 [size =\"8880128\"]\n  13 [size=\"26480640\", alpha=\"0.16\", expect_size=\"13240320\"] \n  13 -> 14 [size =\"13240320\"]\n  14 [size=\"82362368\", alpha=\"0.09\", expect_size=\"41181184\"] \n  14 -> 15 [size =\"41181184\"]\n  15 [size=\"41863168\", alpha=\"0.19\", expect_size=\"20931584\"] \n  15 -> 16 [size =\"20931584\"]\n  16 [size=\"64223232\", alpha=\"0.02\", expect_size=\"32111616\"] \n  16 -> 17 [size =\"32111616\"]\n  17 [size=\"103403520\", alpha=\"0.12\", expect_size=\"51701760\"] \n  17 -> 18 [size =\"51701760\"]\n  18 [size=\"54910976\", alpha=\"0.03\", expect_size=\"27455488\"] \n  18 -> 19 [size =\"27455488\"]\n  19 [size=\"81870848\", alpha=\"0.20\", expect_size=\"40935424\"] \n  19 -> 20 [size =\"40935424\"]\n  20 [size=\"15314944\", alpha=\"0.14\", expect_size=\"7657472\"] \n  20 -> 21 [size =\"7657472\"]\n  21 [size=\"58988544\", alpha=\"0.10\", expect_size=\"29494272\"] \n  21 -> 22 [size =\"29494272\"]\n  22 [size=\"47577088\", alpha=\"0.14\", expect_size=\"23788544\"] \n  22 -> 23 [size =\"23788544\"]\n  23 [size=\"34213888\", alpha=\"0.05\", expect_size=\"17106944\"] \n  23 -> 24 [size =\"17106944\"]\n  24 [size=\"13725696\", alpha=\"0.14\", expect_size=\"6862848\"] \n  24 -> 25 [size =\"6862848\"]\n  25 [size=\"54464512\", alpha=\"0.03\", expect_size=\"27232256\"] \n  25 -> 26 [size =\"27232256\"]\n  26 [size=\"49469440\", alpha=\"0.03\", expect_size=\"24734720\"] \n  26 -> 27 [size =\"24734720\"]\n  27 [size=\"57686016\", alpha=\"0.16\", expect_size=\"28843008\"] \n  27 -> 28 [size =\"28843008\"]\n  28 [size=\"20404224\", alpha=\"0.07\", expect_size=\"10202112\"] \n  28 -> 29 [size =\"10202112\"]\n  29 [size=\"33642496\", alpha=\"0.17\", expect_size=\"16821248\"] \n  29 -> 30 [size =\"16821248\"]\n  30 [size=\"32995328\", alpha=\"0.05\", expect_size=\"16497664\"] \n  30 -> 31 [size =\"16497664\"]\n  31 [size=\"98447360\", alpha=\"0.12\", expect_size=\"49223680\"] \n  31 -> 32 [size =\"49223680\"]\n  32 [size=\"52873216\", alpha=\"0.02\", expect_size=\"26436608\"] \n  32 -> 33 [size =\"26436608\"]\n  33 [size=\"24586240\", alpha=\"0.14\", expect_size=\"12293120\"] \n  33 -> 34 [size =\"12293120\"]\n  34 [size=\"49903616\", alpha=\"0.02\", expect_size=\"24951808\"] \n  34 -> 35 [size =\"24951808\"]\n  35 [size=\"22849536\", alpha=\"0.16\", expect_size=\"11424768\"] \n  35 -> 36 [size =\"11424768\"]\n  36 [size=\"36409344\", alpha=\"0.02\", expect_size=\"18204672\"] \n  36 -> 37 [size =\"18204672\"]\n  37 [size=\"51277824\", alpha=\"0.08\", expect_size=\"25638912\"] \n  37 -> 38 [size =\"25638912\"]\n  38 [size=\"34238464\", alpha=\"0.03\", expect_size=\"17119232\"] \n  38 -> 39 [size =\"17119232\"]\n  39 [size=\"68163584\", alpha=\"0.13\", expect_size=\"34081792\"] \n  39 -> 40 [size =\"34081792\"]\n  40 [size=\"51980288\", alpha=\"0.04\", expect_size=\"25990144\"] \n  40 -> 41 [size =\"25990144\"]\n  41 [size=\"74780672\", alpha=\"0.05\", expect_size=\"37390336\"] \n  41 -> 42 [size =\"37390336\"]\n  42 [size=\"39086080\", alpha=\"0.14\", expect_size=\"19543040\"] \n  42 -> 43 [size =\"19543040\"]\n  43 [size=\"46546944\", alpha=\"0.08\", expect_size=\"23273472\"] \n  43 -> 44 [size =\"23273472\"]\n  44 [size=\"18784256\", alpha=\"0.03\", expect_size=\"9392128\"] \n  44 -> 45 [size =\"9392128\"]\n  45 [size=\"27674624\", alpha=\"0.08\", expect_size=\"13837312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114449920\", alpha=\"0.01\", expect_size=\"45779968\"] \n  1 -> 27 [size =\"45779968\"]\n  1 -> 28 [size =\"45779968\"]\n  1 -> 29 [size =\"45779968\"]\n  1 -> 31 [size =\"45779968\"]\n  1 -> 33 [size =\"45779968\"]\n  1 -> 36 [size =\"45779968\"]\n  1 -> 38 [size =\"45779968\"]\n  1 -> 39 [size =\"45779968\"]\n  1 -> 40 [size =\"45779968\"]\n  1 -> 41 [size =\"45779968\"]\n  1 -> 42 [size =\"45779968\"]\n  1 -> 43 [size =\"45779968\"]\n  1 -> 44 [size =\"45779968\"]\n  1 -> 45 [size =\"45779968\"]\n  2 [size=\"22750720\", alpha=\"0.08\", expect_size=\"9100288\"] \n  2 -> 26 [size =\"9100288\"]\n  2 -> 29 [size =\"9100288\"]\n  2 -> 33 [size =\"9100288\"]\n  2 -> 34 [size =\"9100288\"]\n  2 -> 39 [size =\"9100288\"]\n  2 -> 42 [size =\"9100288\"]\n  2 -> 43 [size =\"9100288\"]\n  3 [size=\"120652800\", alpha=\"0.10\", expect_size=\"48261120\"] \n  3 -> 27 [size =\"48261120\"]\n  3 -> 32 [size =\"48261120\"]\n  3 -> 34 [size =\"48261120\"]\n  3 -> 36 [size =\"48261120\"]\n  3 -> 39 [size =\"48261120\"]\n  3 -> 42 [size =\"48261120\"]\n  3 -> 44 [size =\"48261120\"]\n  3 -> 45 [size =\"48261120\"]\n  4 [size=\"113904640\", alpha=\"0.02\", expect_size=\"45561856\"] \n  4 -> 27 [size =\"45561856\"]\n  4 -> 28 [size =\"45561856\"]\n  4 -> 29 [size =\"45561856\"]\n  4 -> 37 [size =\"45561856\"]\n  4 -> 39 [size =\"45561856\"]\n  4 -> 42 [size =\"45561856\"]\n  4 -> 45 [size =\"45561856\"]\n  5 [size=\"102696960\", alpha=\"0.19\", expect_size=\"41078784\"] \n  5 -> 27 [size =\"41078784\"]\n  5 -> 29 [size =\"41078784\"]\n  5 -> 29 [size =\"41078784\"]\n  5 -> 35 [size =\"41078784\"]\n  5 -> 36 [size =\"41078784\"]\n  5 -> 39 [size =\"41078784\"]\n  5 -> 42 [size =\"41078784\"]\n  5 -> 43 [size =\"41078784\"]\n  6 [size=\"103436800\", alpha=\"0.06\", expect_size=\"41374720\"] \n  6 -> 27 [size =\"41374720\"]\n  6 -> 28 [size =\"41374720\"]\n  6 -> 29 [size =\"41374720\"]\n  6 -> 32 [size =\"41374720\"]\n  6 -> 33 [size =\"41374720\"]\n  6 -> 35 [size =\"41374720\"]\n  6 -> 36 [size =\"41374720\"]\n  6 -> 39 [size =\"41374720\"]\n  6 -> 41 [size =\"41374720\"]\n  6 -> 42 [size =\"41374720\"]\n  6 -> 44 [size =\"41374720\"]\n  7 [size=\"33223680\", alpha=\"0.18\", expect_size=\"13289472\"] \n  7 -> 27 [size =\"13289472\"]\n  7 -> 28 [size =\"13289472\"]\n  7 -> 29 [size =\"13289472\"]\n  7 -> 32 [size =\"13289472\"]\n  7 -> 33 [size =\"13289472\"]\n  7 -> 34 [size =\"13289472\"]\n  7 -> 35 [size =\"13289472\"]\n  7 -> 39 [size =\"13289472\"]\n  7 -> 41 [size =\"13289472\"]\n  7 -> 45 [size =\"13289472\"]\n  8 [size=\"99804160\", alpha=\"0.19\", expect_size=\"39921664\"] \n  8 -> 27 [size =\"39921664\"]\n  8 -> 28 [size =\"39921664\"]\n  8 -> 29 [size =\"39921664\"]\n  8 -> 30 [size =\"39921664\"]\n  8 -> 34 [size =\"39921664\"]\n  8 -> 34 [size =\"39921664\"]\n  8 -> 35 [size =\"39921664\"]\n  8 -> 38 [size =\"39921664\"]\n  8 -> 41 [size =\"39921664\"]\n  8 -> 42 [size =\"39921664\"]\n  8 -> 44 [size =\"39921664\"]\n  8 -> 45 [size =\"39921664\"]\n  9 [size=\"75402240\", alpha=\"0.07\", expect_size=\"30160896\"] \n  9 -> 27 [size =\"30160896\"]\n  9 -> 29 [size =\"30160896\"]\n  9 -> 30 [size =\"30160896\"]\n  9 -> 34 [size =\"30160896\"]\n  9 -> 35 [size =\"30160896\"]\n  9 -> 36 [size =\"30160896\"]\n  9 -> 41 [size =\"30160896\"]\n  9 -> 42 [size =\"30160896\"]\n  9 -> 43 [size =\"30160896\"]\n  10 [size=\"39759360\", alpha=\"0.12\", expect_size=\"15903744\"] \n  10 -> 29 [size =\"15903744\"]\n  10 -> 33 [size =\"15903744\"]\n  10 -> 36 [size =\"15903744\"]\n  10 -> 39 [size =\"15903744\"]\n  10 -> 41 [size =\"15903744\"]\n  10 -> 42 [size =\"15903744\"]\n  10 -> 43 [size =\"15903744\"]\n  10 -> 45 [size =\"15903744\"]\n  11 [size=\"74206720\", alpha=\"0.12\", expect_size=\"29682688\"] \n  11 -> 27 [size =\"29682688\"]\n  11 -> 28 [size =\"29682688\"]\n  11 -> 33 [size =\"29682688\"]\n  11 -> 36 [size =\"29682688\"]\n  11 -> 38 [size =\"29682688\"]\n  11 -> 39 [size =\"29682688\"]\n  11 -> 42 [size =\"29682688\"]\n  11 -> 45 [size =\"29682688\"]\n  12 [size=\"78110720\", alpha=\"0.11\", expect_size=\"31244288\"] \n  12 -> 28 [size =\"31244288\"]\n  12 -> 29 [size =\"31244288\"]\n  12 -> 33 [size =\"31244288\"]\n  12 -> 36 [size =\"31244288\"]\n  12 -> 39 [size =\"31244288\"]\n  12 -> 41 [size =\"31244288\"]\n  12 -> 44 [size =\"31244288\"]\n  13 [size=\"126494720\", alpha=\"0.19\", expect_size=\"50597888\"] \n  13 -> 28 [size =\"50597888\"]\n  13 -> 29 [size =\"50597888\"]\n  13 -> 32 [size =\"50597888\"]\n  13 -> 33 [size =\"50597888\"]\n  13 -> 35 [size =\"50597888\"]\n  13 -> 36 [size =\"50597888\"]\n  13 -> 39 [size =\"50597888\"]\n  14 [size=\"65423360\", alpha=\"0.18\", expect_size=\"26169344\"] \n  14 -> 32 [size =\"26169344\"]\n  14 -> 36 [size =\"26169344\"]\n  14 -> 39 [size =\"26169344\"]\n  14 -> 42 [size =\"26169344\"]\n  14 -> 44 [size =\"26169344\"]\n  15 [size=\"78453760\", alpha=\"0.01\", expect_size=\"31381504\"] \n  15 -> 28 [size =\"31381504\"]\n  15 -> 33 [size =\"31381504\"]\n  15 -> 34 [size =\"31381504\"]\n  15 -> 36 [size =\"31381504\"]\n  15 -> 39 [size =\"31381504\"]\n  15 -> 41 [size =\"31381504\"]\n  15 -> 42 [size =\"31381504\"]\n  16 [size=\"72435200\", alpha=\"0.00\", expect_size=\"28974080\"] \n  16 -> 28 [size =\"28974080\"]\n  16 -> 34 [size =\"28974080\"]\n  16 -> 39 [size =\"28974080\"]\n  16 -> 41 [size =\"28974080\"]\n  17 [size=\"108377600\", alpha=\"0.11\", expect_size=\"43351040\"] \n  17 -> 27 [size =\"43351040\"]\n  17 -> 28 [size =\"43351040\"]\n  17 -> 33 [size =\"43351040\"]\n  17 -> 36 [size =\"43351040\"]\n  17 -> 39 [size =\"43351040\"]\n  17 -> 40 [size =\"43351040\"]\n  17 -> 42 [size =\"43351040\"]\n  17 -> 45 [size =\"43351040\"]\n  18 [size=\"97026560\", alpha=\"0.05\", expect_size=\"38810624\"] \n  18 -> 27 [size =\"38810624\"]\n  18 -> 28 [size =\"38810624\"]\n  18 -> 29 [size =\"38810624\"]\n  18 -> 36 [size =\"38810624\"]\n  18 -> 39 [size =\"38810624\"]\n  18 -> 42 [size =\"38810624\"]\n  18 -> 45 [size =\"38810624\"]\n  19 [size=\"89423360\", alpha=\"0.10\", expect_size=\"35769344\"] \n  19 -> 27 [size =\"35769344\"]\n  19 -> 28 [size =\"35769344\"]\n  19 -> 35 [size =\"35769344\"]\n  19 -> 36 [size =\"35769344\"]\n  19 -> 38 [size =\"35769344\"]\n  19 -> 41 [size =\"35769344\"]\n  19 -> 42 [size =\"35769344\"]\n  19 -> 43 [size =\"35769344\"]\n  19 -> 44 [size =\"35769344\"]\n  19 -> 45 [size =\"35769344\"]\n  20 [size=\"130616320\", alpha=\"0.18\", expect_size=\"52246528\"] \n  20 -> 28 [size =\"52246528\"]\n  20 -> 28 [size =\"52246528\"]\n  20 -> 29 [size =\"52246528\"]\n  20 -> 36 [size =\"52246528\"]\n  20 -> 38 [size =\"52246528\"]\n  20 -> 39 [size =\"52246528\"]\n  20 -> 41 [size =\"52246528\"]\n  20 -> 42 [size =\"52246528\"]\n  20 -> 43 [size =\"52246528\"]\n  20 -> 44 [size =\"52246528\"]\n  21 [size=\"80816640\", alpha=\"0.02\", expect_size=\"32326656\"] \n  21 -> 29 [size =\"32326656\"]\n  21 -> 32 [size =\"32326656\"]\n  21 -> 33 [size =\"32326656\"]\n  21 -> 38 [size =\"32326656\"]\n  21 -> 39 [size =\"32326656\"]\n  21 -> 41 [size =\"32326656\"]\n  21 -> 42 [size =\"32326656\"]\n  21 -> 42 [size =\"32326656\"]\n  21 -> 43 [size =\"32326656\"]\n  21 -> 44 [size =\"32326656\"]\n  22 [size=\"34892800\", alpha=\"0.08\", expect_size=\"13957120\"] \n  22 -> 29 [size =\"13957120\"]\n  22 -> 30 [size =\"13957120\"]\n  22 -> 32 [size =\"13957120\"]\n  22 -> 36 [size =\"13957120\"]\n  22 -> 38 [size =\"13957120\"]\n  22 -> 41 [size =\"13957120\"]\n  22 -> 42 [size =\"13957120\"]\n  22 -> 43 [size =\"13957120\"]\n  22 -> 44 [size =\"13957120\"]\n  22 -> 44 [size =\"13957120\"]\n  22 -> 45 [size =\"13957120\"]\n  23 [size=\"101086720\", alpha=\"0.12\", expect_size=\"40434688\"] \n  23 -> 28 [size =\"40434688\"]\n  23 -> 30 [size =\"40434688\"]\n  23 -> 34 [size =\"40434688\"]\n  23 -> 35 [size =\"40434688\"]\n  23 -> 36 [size =\"40434688\"]\n  23 -> 38 [size =\"40434688\"]\n  23 -> 39 [size =\"40434688\"]\n  23 -> 43 [size =\"40434688\"]\n  23 -> 45 [size =\"40434688\"]\n  24 [size=\"94016000\", alpha=\"0.13\", expect_size=\"37606400\"] \n  24 -> 30 [size =\"37606400\"]\n  24 -> 36 [size =\"37606400\"]\n  24 -> 39 [size =\"37606400\"]\n  24 -> 43 [size =\"37606400\"]\n  24 -> 45 [size =\"37606400\"]\n  25 [size=\"82421760\", alpha=\"0.10\", expect_size=\"32968704\"] \n  25 -> 28 [size =\"32968704\"]\n  25 -> 30 [size =\"32968704\"]\n  25 -> 33 [size =\"32968704\"]\n  25 -> 34 [size =\"32968704\"]\n  25 -> 36 [size =\"32968704\"]\n  25 -> 38 [size =\"32968704\"]\n  25 -> 39 [size =\"32968704\"]\n  25 -> 45 [size =\"32968704\"]\n  26 [size=\"90634240\", alpha=\"0.02\", expect_size=\"36253696\"] \n  27 [size=\"92956160\", alpha=\"0.17\", expect_size=\"37182464\"] \n  28 [size=\"42736640\", alpha=\"0.07\", expect_size=\"17094656\"] \n  29 [size=\"73315840\", alpha=\"0.07\", expect_size=\"29326336\"] \n  30 [size=\"16532480\", alpha=\"0.12\", expect_size=\"6612992\"] \n  31 [size=\"120066560\", alpha=\"0.08\", expect_size=\"48026624\"] \n  32 [size=\"13401600\", alpha=\"0.14\", expect_size=\"5360640\"] \n  33 [size=\"60078080\", alpha=\"0.20\", expect_size=\"24031232\"] \n  34 [size=\"13749760\", alpha=\"0.14\", expect_size=\"5499904\"] \n  35 [size=\"93178880\", alpha=\"0.20\", expect_size=\"37271552\"] \n  36 [size=\"34060800\", alpha=\"0.16\", expect_size=\"13624320\"] \n  37 [size=\"44695040\", alpha=\"0.07\", expect_size=\"17878016\"] \n  38 [size=\"27228160\", alpha=\"0.13\", expect_size=\"10891264\"] \n  39 [size=\"68364800\", alpha=\"0.12\", expect_size=\"27345920\"] \n  40 [size=\"112432640\", alpha=\"0.11\", expect_size=\"44973056\"] \n  41 [size=\"68119040\", alpha=\"0.02\", expect_size=\"27247616\"] \n  42 [size=\"114490880\", alpha=\"0.16\", expect_size=\"45796352\"] \n  43 [size=\"80624640\", alpha=\"0.05\", expect_size=\"32249856\"] \n  44 [size=\"79910400\", alpha=\"0.07\", expect_size=\"31964160\"] \n  45 [size=\"46702080\", alpha=\"0.02\", expect_size=\"18680832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36874240\", alpha=\"0.02\", expect_size=\"11062272\"] \n  1 -> 2 [size =\"11062272\"]\n  2 [size=\"124658347\", alpha=\"0.18\", expect_size=\"37397504\"] \n  2 -> 3 [size =\"37397504\"]\n  3 [size=\"28306773\", alpha=\"0.19\", expect_size=\"8492032\"] \n  3 -> 4 [size =\"8492032\"]\n  4 [size=\"161754453\", alpha=\"0.06\", expect_size=\"48526336\"] \n  4 -> 5 [size =\"48526336\"]\n  5 [size=\"107970560\", alpha=\"0.19\", expect_size=\"32391168\"] \n  5 -> 6 [size =\"32391168\"]\n  6 [size=\"55903573\", alpha=\"0.08\", expect_size=\"16771072\"] \n  6 -> 7 [size =\"16771072\"]\n  7 [size=\"166219093\", alpha=\"0.17\", expect_size=\"49865728\"] \n  7 -> 8 [size =\"49865728\"]\n  8 [size=\"172223147\", alpha=\"0.16\", expect_size=\"51666944\"] \n  8 -> 9 [size =\"51666944\"]\n  9 [size=\"67720533\", alpha=\"0.09\", expect_size=\"20316160\"] \n  9 -> 10 [size =\"20316160\"]\n  10 [size=\"44004693\", alpha=\"0.14\", expect_size=\"13201408\"] \n  10 -> 11 [size =\"13201408\"]\n  11 [size=\"62685867\", alpha=\"0.11\", expect_size=\"18805760\"] \n  11 -> 12 [size =\"18805760\"]\n  12 [size=\"81162240\", alpha=\"0.18\", expect_size=\"24348672\"] \n  12 -> 13 [size =\"24348672\"]\n  13 [size=\"67618133\", alpha=\"0.15\", expect_size=\"20285440\"] \n  13 -> 14 [size =\"20285440\"]\n  14 [size=\"57214293\", alpha=\"0.09\", expect_size=\"17164288\"] \n  14 -> 15 [size =\"17164288\"]\n  15 [size=\"107052373\", alpha=\"0.11\", expect_size=\"32115712\"] \n  15 -> 16 [size =\"32115712\"]\n  16 [size=\"100014080\", alpha=\"0.16\", expect_size=\"30004224\"] \n  16 -> 17 [size =\"30004224\"]\n  17 [size=\"162880853\", alpha=\"0.11\", expect_size=\"48864256\"] \n  17 -> 18 [size =\"48864256\"]\n  18 [size=\"137687040\", alpha=\"0.11\", expect_size=\"41306112\"] \n  18 -> 19 [size =\"41306112\"]\n  19 [size=\"108796587\", alpha=\"0.11\", expect_size=\"32638976\"] \n  19 -> 20 [size =\"32638976\"]\n  20 [size=\"18950827\", alpha=\"0.20\", expect_size=\"5685248\"] \n  20 -> 21 [size =\"5685248\"]\n  21 [size=\"130669227\", alpha=\"0.10\", expect_size=\"39200768\"] \n  21 -> 22 [size =\"39200768\"]\n  22 [size=\"58658133\", alpha=\"0.15\", expect_size=\"17597440\"] \n  22 -> 23 [size =\"17597440\"]\n  23 [size=\"44144640\", alpha=\"0.01\", expect_size=\"13243392\"] \n  23 -> 24 [size =\"13243392\"]\n  24 [size=\"161286827\", alpha=\"0.05\", expect_size=\"48386048\"] \n  24 -> 25 [size =\"48386048\"]\n  25 [size=\"76335787\", alpha=\"0.00\", expect_size=\"22900736\"] \n  25 -> 26 [size =\"22900736\"]\n  26 [size=\"158976000\", alpha=\"0.01\", expect_size=\"47692800\"] \n  26 -> 27 [size =\"47692800\"]\n  27 [size=\"127883947\", alpha=\"0.00\", expect_size=\"38365184\"] \n  27 -> 28 [size =\"38365184\"]\n  28 [size=\"58286080\", alpha=\"0.20\", expect_size=\"17485824\"] \n  28 -> 29 [size =\"17485824\"]\n  29 [size=\"142407680\", alpha=\"0.05\", expect_size=\"42722304\"] \n  29 -> 30 [size =\"42722304\"]\n  30 [size=\"73509547\", alpha=\"0.14\", expect_size=\"22052864\"] \n  30 -> 31 [size =\"22052864\"]\n  31 [size=\"70147413\", alpha=\"0.09\", expect_size=\"21044224\"] \n  31 -> 32 [size =\"21044224\"]\n  32 [size=\"151719253\", alpha=\"0.11\", expect_size=\"45515776\"] \n  32 -> 33 [size =\"45515776\"]\n  33 [size=\"110837760\", alpha=\"0.01\", expect_size=\"33251328\"] \n  33 -> 34 [size =\"33251328\"]\n  34 [size=\"115619840\", alpha=\"0.15\", expect_size=\"34685952\"] \n  34 -> 35 [size =\"34685952\"]\n  35 [size=\"153057280\", alpha=\"0.00\", expect_size=\"45917184\"] \n  35 -> 36 [size =\"45917184\"]\n  36 [size=\"156368213\", alpha=\"0.16\", expect_size=\"46910464\"] \n  36 -> 37 [size =\"46910464\"]\n  37 [size=\"163973120\", alpha=\"0.11\", expect_size=\"49191936\"] \n  37 -> 38 [size =\"49191936\"]\n  38 [size=\"167335253\", alpha=\"0.01\", expect_size=\"50200576\"] \n  38 -> 39 [size =\"50200576\"]\n  39 [size=\"163908267\", alpha=\"0.02\", expect_size=\"49172480\"] \n  39 -> 40 [size =\"49172480\"]\n  40 [size=\"46660267\", alpha=\"0.04\", expect_size=\"13998080\"] \n  40 -> 41 [size =\"13998080\"]\n  41 [size=\"156692480\", alpha=\"0.20\", expect_size=\"47007744\"] \n  41 -> 42 [size =\"47007744\"]\n  42 [size=\"67351893\", alpha=\"0.01\", expect_size=\"20205568\"] \n  42 -> 43 [size =\"20205568\"]\n  43 [size=\"156907520\", alpha=\"0.06\", expect_size=\"47072256\"] \n  43 -> 44 [size =\"47072256\"]\n  44 [size=\"160925013\", alpha=\"0.09\", expect_size=\"48277504\"] \n  44 -> 45 [size =\"48277504\"]\n  45 [size=\"119142400\", alpha=\"0.19\", expect_size=\"35742720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11925504\", alpha=\"0.07\", expect_size=\"5962752\"] \n  1 -> 17 [size =\"5962752\"]\n  1 -> 20 [size =\"5962752\"]\n  1 -> 21 [size =\"5962752\"]\n  1 -> 25 [size =\"5962752\"]\n  2 [size=\"37140480\", alpha=\"0.11\", expect_size=\"18570240\"] \n  2 -> 14 [size =\"18570240\"]\n  3 [size=\"64540672\", alpha=\"0.14\", expect_size=\"32270336\"] \n  3 -> 17 [size =\"32270336\"]\n  3 -> 25 [size =\"32270336\"]\n  4 [size=\"14512128\", alpha=\"0.07\", expect_size=\"7256064\"] \n  4 -> 13 [size =\"7256064\"]\n  4 -> 21 [size =\"7256064\"]\n  4 -> 25 [size =\"7256064\"]\n  4 -> 26 [size =\"7256064\"]\n  5 [size=\"97665024\", alpha=\"0.00\", expect_size=\"48832512\"] \n  5 -> 24 [size =\"48832512\"]\n  6 [size=\"69576704\", alpha=\"0.10\", expect_size=\"34788352\"] \n  6 -> 15 [size =\"34788352\"]\n  6 -> 16 [size =\"34788352\"]\n  6 -> 18 [size =\"34788352\"]\n  6 -> 19 [size =\"34788352\"]\n  6 -> 25 [size =\"34788352\"]\n  7 [size=\"63219712\", alpha=\"0.11\", expect_size=\"31609856\"] \n  7 -> 18 [size =\"31609856\"]\n  7 -> 20 [size =\"31609856\"]\n  7 -> 21 [size =\"31609856\"]\n  7 -> 24 [size =\"31609856\"]\n  7 -> 26 [size =\"31609856\"]\n  8 [size=\"39677952\", alpha=\"0.07\", expect_size=\"19838976\"] \n  8 -> 13 [size =\"19838976\"]\n  8 -> 16 [size =\"19838976\"]\n  8 -> 18 [size =\"19838976\"]\n  8 -> 20 [size =\"19838976\"]\n  8 -> 23 [size =\"19838976\"]\n  8 -> 26 [size =\"19838976\"]\n  9 [size=\"23398400\", alpha=\"0.07\", expect_size=\"11699200\"] \n  9 -> 13 [size =\"11699200\"]\n  9 -> 14 [size =\"11699200\"]\n  9 -> 16 [size =\"11699200\"]\n  9 -> 18 [size =\"11699200\"]\n  9 -> 22 [size =\"11699200\"]\n  9 -> 23 [size =\"11699200\"]\n  9 -> 25 [size =\"11699200\"]\n  10 [size=\"33314816\", alpha=\"0.02\", expect_size=\"16657408\"] \n  10 -> 13 [size =\"16657408\"]\n  10 -> 14 [size =\"16657408\"]\n  10 -> 20 [size =\"16657408\"]\n  11 [size=\"43204608\", alpha=\"0.10\", expect_size=\"21602304\"] \n  11 -> 16 [size =\"21602304\"]\n  11 -> 23 [size =\"21602304\"]\n  11 -> 25 [size =\"21602304\"]\n  12 [size=\"76398592\", alpha=\"0.17\", expect_size=\"38199296\"] \n  12 -> 23 [size =\"38199296\"]\n  12 -> 26 [size =\"38199296\"]\n  13 [size=\"35983360\", alpha=\"0.10\", expect_size=\"17991680\"] \n  13 -> 27 [size =\"17991680\"]\n  13 -> 28 [size =\"17991680\"]\n  13 -> 30 [size =\"17991680\"]\n  13 -> 32 [size =\"17991680\"]\n  13 -> 33 [size =\"17991680\"]\n  13 -> 34 [size =\"17991680\"]\n  13 -> 35 [size =\"17991680\"]\n  13 -> 39 [size =\"17991680\"]\n  14 [size=\"101140480\", alpha=\"0.04\", expect_size=\"50570240\"] \n  14 -> 28 [size =\"50570240\"]\n  14 -> 28 [size =\"50570240\"]\n  14 -> 29 [size =\"50570240\"]\n  14 -> 33 [size =\"50570240\"]\n  14 -> 34 [size =\"50570240\"]\n  14 -> 39 [size =\"50570240\"]\n  15 [size=\"41351168\", alpha=\"0.02\", expect_size=\"20675584\"] \n  15 -> 27 [size =\"20675584\"]\n  15 -> 28 [size =\"20675584\"]\n  15 -> 29 [size =\"20675584\"]\n  15 -> 34 [size =\"20675584\"]\n  15 -> 35 [size =\"20675584\"]\n  15 -> 37 [size =\"20675584\"]\n  16 [size=\"43370496\", alpha=\"0.18\", expect_size=\"21685248\"] \n  16 -> 27 [size =\"21685248\"]\n  16 -> 29 [size =\"21685248\"]\n  16 -> 31 [size =\"21685248\"]\n  16 -> 35 [size =\"21685248\"]\n  16 -> 38 [size =\"21685248\"]\n  16 -> 40 [size =\"21685248\"]\n  17 [size=\"92319744\", alpha=\"0.02\", expect_size=\"46159872\"] \n  17 -> 36 [size =\"46159872\"]\n  17 -> 37 [size =\"46159872\"]\n  17 -> 38 [size =\"46159872\"]\n  18 [size=\"50542592\", alpha=\"0.07\", expect_size=\"25271296\"] \n  18 -> 32 [size =\"25271296\"]\n  18 -> 33 [size =\"25271296\"]\n  18 -> 37 [size =\"25271296\"]\n  19 [size=\"85004288\", alpha=\"0.13\", expect_size=\"42502144\"] \n  19 -> 32 [size =\"42502144\"]\n  19 -> 33 [size =\"42502144\"]\n  19 -> 36 [size =\"42502144\"]\n  19 -> 37 [size =\"42502144\"]\n  19 -> 38 [size =\"42502144\"]\n  19 -> 40 [size =\"42502144\"]\n  20 [size=\"22343680\", alpha=\"0.10\", expect_size=\"11171840\"] \n  20 -> 33 [size =\"11171840\"]\n  20 -> 35 [size =\"11171840\"]\n  20 -> 37 [size =\"11171840\"]\n  20 -> 37 [size =\"11171840\"]\n  20 -> 38 [size =\"11171840\"]\n  20 -> 39 [size =\"11171840\"]\n  20 -> 40 [size =\"11171840\"]\n  21 [size=\"34078720\", alpha=\"0.08\", expect_size=\"17039360\"] \n  21 -> 29 [size =\"17039360\"]\n  21 -> 34 [size =\"17039360\"]\n  21 -> 35 [size =\"17039360\"]\n  21 -> 36 [size =\"17039360\"]\n  21 -> 40 [size =\"17039360\"]\n  22 [size=\"79579136\", alpha=\"0.12\", expect_size=\"39789568\"] \n  22 -> 29 [size =\"39789568\"]\n  22 -> 30 [size =\"39789568\"]\n  22 -> 34 [size =\"39789568\"]\n  22 -> 40 [size =\"39789568\"]\n  23 [size=\"65325056\", alpha=\"0.07\", expect_size=\"32662528\"] \n  23 -> 33 [size =\"32662528\"]\n  23 -> 34 [size =\"32662528\"]\n  23 -> 34 [size =\"32662528\"]\n  23 -> 36 [size =\"32662528\"]\n  23 -> 38 [size =\"32662528\"]\n  23 -> 39 [size =\"32662528\"]\n  23 -> 40 [size =\"32662528\"]\n  24 [size=\"19263488\", alpha=\"0.03\", expect_size=\"9631744\"] \n  24 -> 27 [size =\"9631744\"]\n  24 -> 29 [size =\"9631744\"]\n  24 -> 38 [size =\"9631744\"]\n  25 [size=\"40032256\", alpha=\"0.17\", expect_size=\"20016128\"] \n  25 -> 27 [size =\"20016128\"]\n  25 -> 28 [size =\"20016128\"]\n  25 -> 30 [size =\"20016128\"]\n  25 -> 37 [size =\"20016128\"]\n  25 -> 38 [size =\"20016128\"]\n  25 -> 39 [size =\"20016128\"]\n  26 [size=\"51249152\", alpha=\"0.04\", expect_size=\"25624576\"] \n  26 -> 27 [size =\"25624576\"]\n  26 -> 28 [size =\"25624576\"]\n  26 -> 29 [size =\"25624576\"]\n  26 -> 36 [size =\"25624576\"]\n  26 -> 39 [size =\"25624576\"]\n  27 [size=\"40957952\", alpha=\"0.02\", expect_size=\"20478976\"] \n  27 -> 44 [size =\"20478976\"]\n  27 -> 45 [size =\"20478976\"]\n  28 [size=\"52477952\", alpha=\"0.06\", expect_size=\"26238976\"] \n  29 [size=\"86544384\", alpha=\"0.13\", expect_size=\"43272192\"] \n  29 -> 42 [size =\"43272192\"]\n  30 [size=\"52291584\", alpha=\"0.05\", expect_size=\"26145792\"] \n  30 -> 44 [size =\"26145792\"]\n  31 [size=\"101165056\", alpha=\"0.04\", expect_size=\"50582528\"] \n  31 -> 45 [size =\"50582528\"]\n  32 [size=\"45858816\", alpha=\"0.17\", expect_size=\"22929408\"] \n  33 [size=\"101777408\", alpha=\"0.15\", expect_size=\"50888704\"] \n  34 [size=\"39856128\", alpha=\"0.12\", expect_size=\"19928064\"] \n  34 -> 42 [size =\"19928064\"]\n  35 [size=\"52867072\", alpha=\"0.16\", expect_size=\"26433536\"] \n  35 -> 43 [size =\"26433536\"]\n  35 -> 44 [size =\"26433536\"]\n  35 -> 45 [size =\"26433536\"]\n  36 [size=\"39245824\", alpha=\"0.07\", expect_size=\"19622912\"] \n  36 -> 43 [size =\"19622912\"]\n  37 [size=\"58083328\", alpha=\"0.15\", expect_size=\"29041664\"] \n  37 -> 41 [size =\"29041664\"]\n  37 -> 43 [size =\"29041664\"]\n  38 [size=\"67743744\", alpha=\"0.12\", expect_size=\"33871872\"] \n  38 -> 43 [size =\"33871872\"]\n  38 -> 43 [size =\"33871872\"]\n  38 -> 44 [size =\"33871872\"]\n  39 [size=\"97419264\", alpha=\"0.04\", expect_size=\"48709632\"] \n  39 -> 43 [size =\"48709632\"]\n  40 [size=\"65652736\", alpha=\"0.19\", expect_size=\"32826368\"] \n  40 -> 41 [size =\"32826368\"]\n  41 [size=\"89647104\", alpha=\"0.19\", expect_size=\"44823552\"] \n  42 [size=\"13373440\", alpha=\"0.14\", expect_size=\"6686720\"] \n  43 [size=\"91494400\", alpha=\"0.20\", expect_size=\"45747200\"] \n  44 [size=\"66390016\", alpha=\"0.08\", expect_size=\"33195008\"] \n  45 [size=\"28715008\", alpha=\"0.02\", expect_size=\"14357504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59143680\", alpha=\"0.18\", expect_size=\"23657472\"] \n  1 -> 36 [size =\"23657472\"]\n  1 -> 37 [size =\"23657472\"]\n  1 -> 41 [size =\"23657472\"]\n  1 -> 42 [size =\"23657472\"]\n  1 -> 45 [size =\"23657472\"]\n  2 [size=\"106961920\", alpha=\"0.17\", expect_size=\"42784768\"] \n  2 -> 40 [size =\"42784768\"]\n  2 -> 41 [size =\"42784768\"]\n  2 -> 43 [size =\"42784768\"]\n  2 -> 45 [size =\"42784768\"]\n  3 [size=\"127936000\", alpha=\"0.12\", expect_size=\"51174400\"] \n  3 -> 39 [size =\"51174400\"]\n  3 -> 40 [size =\"51174400\"]\n  3 -> 45 [size =\"51174400\"]\n  4 [size=\"128919040\", alpha=\"0.03\", expect_size=\"51567616\"] \n  4 -> 36 [size =\"51567616\"]\n  4 -> 38 [size =\"51567616\"]\n  4 -> 40 [size =\"51567616\"]\n  4 -> 44 [size =\"51567616\"]\n  5 [size=\"35008000\", alpha=\"0.06\", expect_size=\"14003200\"] \n  5 -> 39 [size =\"14003200\"]\n  5 -> 41 [size =\"14003200\"]\n  5 -> 43 [size =\"14003200\"]\n  5 -> 44 [size =\"14003200\"]\n  5 -> 45 [size =\"14003200\"]\n  6 [size=\"121725440\", alpha=\"0.19\", expect_size=\"48690176\"] \n  6 -> 37 [size =\"48690176\"]\n  6 -> 39 [size =\"48690176\"]\n  6 -> 41 [size =\"48690176\"]\n  6 -> 43 [size =\"48690176\"]\n  6 -> 44 [size =\"48690176\"]\n  6 -> 45 [size =\"48690176\"]\n  7 [size=\"61383680\", alpha=\"0.19\", expect_size=\"24553472\"] \n  7 -> 36 [size =\"24553472\"]\n  7 -> 37 [size =\"24553472\"]\n  7 -> 39 [size =\"24553472\"]\n  7 -> 41 [size =\"24553472\"]\n  7 -> 43 [size =\"24553472\"]\n  8 [size=\"67909120\", alpha=\"0.15\", expect_size=\"27163648\"] \n  8 -> 39 [size =\"27163648\"]\n  8 -> 42 [size =\"27163648\"]\n  8 -> 43 [size =\"27163648\"]\n  8 -> 44 [size =\"27163648\"]\n  9 [size=\"89571840\", alpha=\"0.06\", expect_size=\"35828736\"] \n  9 -> 40 [size =\"35828736\"]\n  9 -> 41 [size =\"35828736\"]\n  9 -> 42 [size =\"35828736\"]\n  9 -> 43 [size =\"35828736\"]\n  9 -> 44 [size =\"35828736\"]\n  10 [size=\"59312640\", alpha=\"0.02\", expect_size=\"23725056\"] \n  10 -> 37 [size =\"23725056\"]\n  10 -> 40 [size =\"23725056\"]\n  10 -> 43 [size =\"23725056\"]\n  10 -> 44 [size =\"23725056\"]\n  11 [size=\"50897920\", alpha=\"0.07\", expect_size=\"20359168\"] \n  11 -> 37 [size =\"20359168\"]\n  11 -> 39 [size =\"20359168\"]\n  11 -> 44 [size =\"20359168\"]\n  12 [size=\"36810240\", alpha=\"0.09\", expect_size=\"14724096\"] \n  12 -> 37 [size =\"14724096\"]\n  12 -> 38 [size =\"14724096\"]\n  12 -> 40 [size =\"14724096\"]\n  12 -> 43 [size =\"14724096\"]\n  12 -> 44 [size =\"14724096\"]\n  13 [size=\"21368320\", alpha=\"0.03\", expect_size=\"8547328\"] \n  13 -> 41 [size =\"8547328\"]\n  13 -> 42 [size =\"8547328\"]\n  13 -> 43 [size =\"8547328\"]\n  13 -> 44 [size =\"8547328\"]\n  14 [size=\"90667520\", alpha=\"0.03\", expect_size=\"36267008\"] \n  14 -> 40 [size =\"36267008\"]\n  14 -> 41 [size =\"36267008\"]\n  14 -> 42 [size =\"36267008\"]\n  14 -> 44 [size =\"36267008\"]\n  15 [size=\"107292160\", alpha=\"0.19\", expect_size=\"42916864\"] \n  15 -> 37 [size =\"42916864\"]\n  15 -> 40 [size =\"42916864\"]\n  15 -> 41 [size =\"42916864\"]\n  15 -> 44 [size =\"42916864\"]\n  15 -> 45 [size =\"42916864\"]\n  16 [size=\"22405120\", alpha=\"0.07\", expect_size=\"8962048\"] \n  16 -> 37 [size =\"8962048\"]\n  16 -> 40 [size =\"8962048\"]\n  16 -> 43 [size =\"8962048\"]\n  16 -> 44 [size =\"8962048\"]\n  17 [size=\"15523840\", alpha=\"0.09\", expect_size=\"6209536\"] \n  17 -> 36 [size =\"6209536\"]\n  17 -> 37 [size =\"6209536\"]\n  17 -> 39 [size =\"6209536\"]\n  17 -> 41 [size =\"6209536\"]\n  17 -> 44 [size =\"6209536\"]\n  18 [size=\"128094720\", alpha=\"0.19\", expect_size=\"51237888\"] \n  18 -> 36 [size =\"51237888\"]\n  18 -> 37 [size =\"51237888\"]\n  18 -> 39 [size =\"51237888\"]\n  18 -> 45 [size =\"51237888\"]\n  19 [size=\"99235840\", alpha=\"0.04\", expect_size=\"39694336\"] \n  19 -> 36 [size =\"39694336\"]\n  19 -> 39 [size =\"39694336\"]\n  19 -> 39 [size =\"39694336\"]\n  19 -> 44 [size =\"39694336\"]\n  19 -> 45 [size =\"39694336\"]\n  20 [size=\"17402880\", alpha=\"0.15\", expect_size=\"6961152\"] \n  20 -> 36 [size =\"6961152\"]\n  20 -> 39 [size =\"6961152\"]\n  20 -> 41 [size =\"6961152\"]\n  20 -> 42 [size =\"6961152\"]\n  20 -> 45 [size =\"6961152\"]\n  21 [size=\"32081920\", alpha=\"0.13\", expect_size=\"12832768\"] \n  21 -> 36 [size =\"12832768\"]\n  21 -> 39 [size =\"12832768\"]\n  21 -> 42 [size =\"12832768\"]\n  21 -> 43 [size =\"12832768\"]\n  21 -> 44 [size =\"12832768\"]\n  22 [size=\"75133440\", alpha=\"0.08\", expect_size=\"30053376\"] \n  22 -> 36 [size =\"30053376\"]\n  22 -> 39 [size =\"30053376\"]\n  22 -> 40 [size =\"30053376\"]\n  22 -> 41 [size =\"30053376\"]\n  22 -> 43 [size =\"30053376\"]\n  22 -> 45 [size =\"30053376\"]\n  23 [size=\"126248960\", alpha=\"0.02\", expect_size=\"50499584\"] \n  23 -> 36 [size =\"50499584\"]\n  23 -> 39 [size =\"50499584\"]\n  23 -> 43 [size =\"50499584\"]\n  24 [size=\"28090880\", alpha=\"0.16\", expect_size=\"11236352\"] \n  24 -> 36 [size =\"11236352\"]\n  24 -> 39 [size =\"11236352\"]\n  24 -> 41 [size =\"11236352\"]\n  24 -> 44 [size =\"11236352\"]\n  25 [size=\"46164480\", alpha=\"0.13\", expect_size=\"18465792\"] \n  25 -> 36 [size =\"18465792\"]\n  25 -> 37 [size =\"18465792\"]\n  25 -> 42 [size =\"18465792\"]\n  26 [size=\"37880320\", alpha=\"0.09\", expect_size=\"15152128\"] \n  26 -> 36 [size =\"15152128\"]\n  26 -> 37 [size =\"15152128\"]\n  26 -> 41 [size =\"15152128\"]\n  26 -> 43 [size =\"15152128\"]\n  27 [size=\"76431360\", alpha=\"0.13\", expect_size=\"30572544\"] \n  27 -> 36 [size =\"30572544\"]\n  27 -> 37 [size =\"30572544\"]\n  27 -> 39 [size =\"30572544\"]\n  27 -> 40 [size =\"30572544\"]\n  27 -> 41 [size =\"30572544\"]\n  27 -> 42 [size =\"30572544\"]\n  28 [size=\"128494080\", alpha=\"0.07\", expect_size=\"51397632\"] \n  28 -> 36 [size =\"51397632\"]\n  28 -> 40 [size =\"51397632\"]\n  28 -> 41 [size =\"51397632\"]\n  28 -> 43 [size =\"51397632\"]\n  29 [size=\"121776640\", alpha=\"0.13\", expect_size=\"48710656\"] \n  29 -> 36 [size =\"48710656\"]\n  29 -> 39 [size =\"48710656\"]\n  29 -> 44 [size =\"48710656\"]\n  30 [size=\"25277440\", alpha=\"0.07\", expect_size=\"10110976\"] \n  30 -> 36 [size =\"10110976\"]\n  30 -> 39 [size =\"10110976\"]\n  30 -> 41 [size =\"10110976\"]\n  30 -> 42 [size =\"10110976\"]\n  31 [size=\"111375360\", alpha=\"0.08\", expect_size=\"44550144\"] \n  31 -> 36 [size =\"44550144\"]\n  31 -> 39 [size =\"44550144\"]\n  31 -> 40 [size =\"44550144\"]\n  31 -> 41 [size =\"44550144\"]\n  31 -> 42 [size =\"44550144\"]\n  31 -> 44 [size =\"44550144\"]\n  32 [size=\"72215040\", alpha=\"0.13\", expect_size=\"28886016\"] \n  32 -> 39 [size =\"28886016\"]\n  32 -> 40 [size =\"28886016\"]\n  33 [size=\"119621120\", alpha=\"0.19\", expect_size=\"47848448\"] \n  33 -> 39 [size =\"47848448\"]\n  34 [size=\"14522880\", alpha=\"0.18\", expect_size=\"5809152\"] \n  34 -> 36 [size =\"5809152\"]\n  34 -> 37 [size =\"5809152\"]\n  34 -> 45 [size =\"5809152\"]\n  35 [size=\"108661760\", alpha=\"0.13\", expect_size=\"43464704\"] \n  35 -> 36 [size =\"43464704\"]\n  35 -> 37 [size =\"43464704\"]\n  35 -> 41 [size =\"43464704\"]\n  35 -> 43 [size =\"43464704\"]\n  36 [size=\"70051840\", alpha=\"0.10\", expect_size=\"28020736\"] \n  37 [size=\"125271040\", alpha=\"0.07\", expect_size=\"50108416\"] \n  38 [size=\"86666240\", alpha=\"0.03\", expect_size=\"34666496\"] \n  39 [size=\"127009280\", alpha=\"0.15\", expect_size=\"50803712\"] \n  40 [size=\"86835200\", alpha=\"0.06\", expect_size=\"34734080\"] \n  41 [size=\"130311680\", alpha=\"0.02\", expect_size=\"52124672\"] \n  42 [size=\"59304960\", alpha=\"0.07\", expect_size=\"23721984\"] \n  43 [size=\"15485440\", alpha=\"0.12\", expect_size=\"6194176\"] \n  44 [size=\"125079040\", alpha=\"0.20\", expect_size=\"50031616\"] \n  45 [size=\"111751680\", alpha=\"0.13\", expect_size=\"44700672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36457813\", alpha=\"0.10\", expect_size=\"10937344\"] \n  1 -> 2 [size =\"10937344\"]\n  2 [size=\"134389760\", alpha=\"0.16\", expect_size=\"40316928\"] \n  2 -> 3 [size =\"40316928\"]\n  3 [size=\"129744213\", alpha=\"0.10\", expect_size=\"38923264\"] \n  3 -> 4 [size =\"38923264\"]\n  4 [size=\"38242987\", alpha=\"0.17\", expect_size=\"11472896\"] \n  4 -> 5 [size =\"11472896\"]\n  5 [size=\"86422187\", alpha=\"0.07\", expect_size=\"25926656\"] \n  5 -> 6 [size =\"25926656\"]\n  6 [size=\"173701120\", alpha=\"0.20\", expect_size=\"52110336\"] \n  6 -> 7 [size =\"52110336\"]\n  7 [size=\"114964480\", alpha=\"0.00\", expect_size=\"34489344\"] \n  7 -> 8 [size =\"34489344\"]\n  8 [size=\"152715947\", alpha=\"0.15\", expect_size=\"45814784\"] \n  8 -> 9 [size =\"45814784\"]\n  9 [size=\"155473920\", alpha=\"0.08\", expect_size=\"46642176\"] \n  9 -> 10 [size =\"46642176\"]\n  10 [size=\"148381013\", alpha=\"0.13\", expect_size=\"44514304\"] \n  10 -> 11 [size =\"44514304\"]\n  11 [size=\"116698453\", alpha=\"0.15\", expect_size=\"35009536\"] \n  11 -> 12 [size =\"35009536\"]\n  12 [size=\"37096107\", alpha=\"0.04\", expect_size=\"11128832\"] \n  12 -> 13 [size =\"11128832\"]\n  13 [size=\"160269653\", alpha=\"0.04\", expect_size=\"48080896\"] \n  13 -> 14 [size =\"48080896\"]\n  14 [size=\"80971093\", alpha=\"0.05\", expect_size=\"24291328\"] \n  14 -> 15 [size =\"24291328\"]\n  15 [size=\"58306560\", alpha=\"0.02\", expect_size=\"17491968\"] \n  15 -> 16 [size =\"17491968\"]\n  16 [size=\"116968107\", alpha=\"0.03\", expect_size=\"35090432\"] \n  16 -> 17 [size =\"35090432\"]\n  17 [size=\"115633493\", alpha=\"0.12\", expect_size=\"34690048\"] \n  17 -> 18 [size =\"34690048\"]\n  18 [size=\"118490453\", alpha=\"0.19\", expect_size=\"35547136\"] \n  18 -> 19 [size =\"35547136\"]\n  19 [size=\"81244160\", alpha=\"0.04\", expect_size=\"24373248\"] \n  19 -> 20 [size =\"24373248\"]\n  20 [size=\"144670720\", alpha=\"0.02\", expect_size=\"43401216\"] \n  20 -> 21 [size =\"43401216\"]\n  21 [size=\"90702507\", alpha=\"0.03\", expect_size=\"27210752\"] \n  21 -> 22 [size =\"27210752\"]\n  22 [size=\"49513813\", alpha=\"0.19\", expect_size=\"14854144\"] \n  22 -> 23 [size =\"14854144\"]\n  23 [size=\"84708693\", alpha=\"0.09\", expect_size=\"25412608\"] \n  23 -> 24 [size =\"25412608\"]\n  24 [size=\"116954453\", alpha=\"0.02\", expect_size=\"35086336\"] \n  24 -> 25 [size =\"35086336\"]\n  25 [size=\"157975893\", alpha=\"0.03\", expect_size=\"47392768\"] \n  25 -> 26 [size =\"47392768\"]\n  26 [size=\"17960960\", alpha=\"0.05\", expect_size=\"5388288\"] \n  26 -> 27 [size =\"5388288\"]\n  27 [size=\"44905813\", alpha=\"0.19\", expect_size=\"13471744\"] \n  27 -> 28 [size =\"13471744\"]\n  28 [size=\"138192213\", alpha=\"0.09\", expect_size=\"41457664\"] \n  28 -> 29 [size =\"41457664\"]\n  29 [size=\"131713707\", alpha=\"0.18\", expect_size=\"39514112\"] \n  29 -> 30 [size =\"39514112\"]\n  30 [size=\"162921813\", alpha=\"0.03\", expect_size=\"48876544\"] \n  30 -> 31 [size =\"48876544\"]\n  31 [size=\"25169920\", alpha=\"0.01\", expect_size=\"7550976\"] \n  31 -> 32 [size =\"7550976\"]\n  32 [size=\"52008960\", alpha=\"0.01\", expect_size=\"15602688\"] \n  32 -> 33 [size =\"15602688\"]\n  33 [size=\"45786453\", alpha=\"0.20\", expect_size=\"13735936\"] \n  33 -> 34 [size =\"13735936\"]\n  34 [size=\"118763520\", alpha=\"0.06\", expect_size=\"35629056\"] \n  34 -> 35 [size =\"35629056\"]\n  35 [size=\"134427307\", alpha=\"0.18\", expect_size=\"40328192\"] \n  35 -> 36 [size =\"40328192\"]\n  36 [size=\"161723733\", alpha=\"0.02\", expect_size=\"48517120\"] \n  36 -> 37 [size =\"48517120\"]\n  37 [size=\"42308267\", alpha=\"0.19\", expect_size=\"12692480\"] \n  37 -> 38 [size =\"12692480\"]\n  38 [size=\"30955520\", alpha=\"0.08\", expect_size=\"9286656\"] \n  38 -> 39 [size =\"9286656\"]\n  39 [size=\"105618773\", alpha=\"0.06\", expect_size=\"31685632\"] \n  39 -> 40 [size =\"31685632\"]\n  40 [size=\"89722880\", alpha=\"0.00\", expect_size=\"26916864\"] \n  40 -> 41 [size =\"26916864\"]\n  41 [size=\"114176000\", alpha=\"0.03\", expect_size=\"34252800\"] \n  41 -> 42 [size =\"34252800\"]\n  42 [size=\"120917333\", alpha=\"0.11\", expect_size=\"36275200\"] \n  42 -> 43 [size =\"36275200\"]\n  43 [size=\"129566720\", alpha=\"0.06\", expect_size=\"38870016\"] \n  43 -> 44 [size =\"38870016\"]\n  44 [size=\"125637973\", alpha=\"0.15\", expect_size=\"37691392\"] \n  44 -> 45 [size =\"37691392\"]\n  45 [size=\"172625920\", alpha=\"0.01\", expect_size=\"51787776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103652693\", alpha=\"0.05\", expect_size=\"31095808\"] \n  1 -> 34 [size =\"31095808\"]\n  1 -> 35 [size =\"31095808\"]\n  1 -> 36 [size =\"31095808\"]\n  1 -> 40 [size =\"31095808\"]\n  1 -> 41 [size =\"31095808\"]\n  1 -> 44 [size =\"31095808\"]\n  1 -> 45 [size =\"31095808\"]\n  2 [size=\"163638613\", alpha=\"0.12\", expect_size=\"49091584\"] \n  2 -> 38 [size =\"49091584\"]\n  2 -> 41 [size =\"49091584\"]\n  2 -> 42 [size =\"49091584\"]\n  3 [size=\"102754987\", alpha=\"0.13\", expect_size=\"30826496\"] \n  3 -> 38 [size =\"30826496\"]\n  3 -> 39 [size =\"30826496\"]\n  3 -> 40 [size =\"30826496\"]\n  3 -> 42 [size =\"30826496\"]\n  3 -> 44 [size =\"30826496\"]\n  4 [size=\"64631467\", alpha=\"0.04\", expect_size=\"19389440\"] \n  4 -> 34 [size =\"19389440\"]\n  4 -> 36 [size =\"19389440\"]\n  4 -> 38 [size =\"19389440\"]\n  4 -> 39 [size =\"19389440\"]\n  4 -> 40 [size =\"19389440\"]\n  4 -> 41 [size =\"19389440\"]\n  4 -> 44 [size =\"19389440\"]\n  5 [size=\"68123307\", alpha=\"0.13\", expect_size=\"20436992\"] \n  5 -> 34 [size =\"20436992\"]\n  5 -> 35 [size =\"20436992\"]\n  5 -> 38 [size =\"20436992\"]\n  5 -> 39 [size =\"20436992\"]\n  5 -> 40 [size =\"20436992\"]\n  5 -> 43 [size =\"20436992\"]\n  6 [size=\"125832533\", alpha=\"0.16\", expect_size=\"37749760\"] \n  6 -> 34 [size =\"37749760\"]\n  6 -> 38 [size =\"37749760\"]\n  6 -> 41 [size =\"37749760\"]\n  6 -> 42 [size =\"37749760\"]\n  7 [size=\"70594560\", alpha=\"0.05\", expect_size=\"21178368\"] \n  7 -> 35 [size =\"21178368\"]\n  7 -> 36 [size =\"21178368\"]\n  7 -> 38 [size =\"21178368\"]\n  7 -> 39 [size =\"21178368\"]\n  7 -> 41 [size =\"21178368\"]\n  7 -> 44 [size =\"21178368\"]\n  8 [size=\"79749120\", alpha=\"0.07\", expect_size=\"23924736\"] \n  8 -> 35 [size =\"23924736\"]\n  8 -> 39 [size =\"23924736\"]\n  9 [size=\"71942827\", alpha=\"0.18\", expect_size=\"21582848\"] \n  9 -> 34 [size =\"21582848\"]\n  9 -> 36 [size =\"21582848\"]\n  9 -> 38 [size =\"21582848\"]\n  9 -> 42 [size =\"21582848\"]\n  10 [size=\"143158613\", alpha=\"0.10\", expect_size=\"42947584\"] \n  10 -> 34 [size =\"42947584\"]\n  10 -> 35 [size =\"42947584\"]\n  10 -> 42 [size =\"42947584\"]\n  11 [size=\"86889813\", alpha=\"0.12\", expect_size=\"26066944\"] \n  11 -> 34 [size =\"26066944\"]\n  11 -> 36 [size =\"26066944\"]\n  11 -> 38 [size =\"26066944\"]\n  11 -> 39 [size =\"26066944\"]\n  11 -> 45 [size =\"26066944\"]\n  12 [size=\"123890347\", alpha=\"0.11\", expect_size=\"37167104\"] \n  12 -> 34 [size =\"37167104\"]\n  12 -> 35 [size =\"37167104\"]\n  12 -> 39 [size =\"37167104\"]\n  12 -> 41 [size =\"37167104\"]\n  13 [size=\"63139840\", alpha=\"0.15\", expect_size=\"18941952\"] \n  13 -> 34 [size =\"18941952\"]\n  13 -> 36 [size =\"18941952\"]\n  13 -> 38 [size =\"18941952\"]\n  13 -> 41 [size =\"18941952\"]\n  13 -> 44 [size =\"18941952\"]\n  14 [size=\"164365653\", alpha=\"0.01\", expect_size=\"49309696\"] \n  14 -> 34 [size =\"49309696\"]\n  14 -> 41 [size =\"49309696\"]\n  14 -> 44 [size =\"49309696\"]\n  15 [size=\"35730773\", alpha=\"0.08\", expect_size=\"10719232\"] \n  15 -> 34 [size =\"10719232\"]\n  15 -> 35 [size =\"10719232\"]\n  15 -> 41 [size =\"10719232\"]\n  16 [size=\"137018027\", alpha=\"0.02\", expect_size=\"41105408\"] \n  16 -> 34 [size =\"41105408\"]\n  16 -> 36 [size =\"41105408\"]\n  16 -> 41 [size =\"41105408\"]\n  17 [size=\"102188373\", alpha=\"0.03\", expect_size=\"30656512\"] \n  17 -> 34 [size =\"30656512\"]\n  17 -> 39 [size =\"30656512\"]\n  17 -> 40 [size =\"30656512\"]\n  17 -> 44 [size =\"30656512\"]\n  18 [size=\"139673600\", alpha=\"0.05\", expect_size=\"41902080\"] \n  18 -> 34 [size =\"41902080\"]\n  18 -> 36 [size =\"41902080\"]\n  18 -> 39 [size =\"41902080\"]\n  19 [size=\"37563733\", alpha=\"0.11\", expect_size=\"11269120\"] \n  19 -> 34 [size =\"11269120\"]\n  19 -> 39 [size =\"11269120\"]\n  19 -> 40 [size =\"11269120\"]\n  19 -> 41 [size =\"11269120\"]\n  19 -> 42 [size =\"11269120\"]\n  20 [size=\"20500480\", alpha=\"0.07\", expect_size=\"6150144\"] \n  20 -> 39 [size =\"6150144\"]\n  20 -> 41 [size =\"6150144\"]\n  20 -> 42 [size =\"6150144\"]\n  20 -> 44 [size =\"6150144\"]\n  21 [size=\"101843627\", alpha=\"0.15\", expect_size=\"30553088\"] \n  21 -> 38 [size =\"30553088\"]\n  22 [size=\"41803093\", alpha=\"0.01\", expect_size=\"12540928\"] \n  22 -> 39 [size =\"12540928\"]\n  22 -> 41 [size =\"12540928\"]\n  23 [size=\"129594027\", alpha=\"0.19\", expect_size=\"38878208\"] \n  23 -> 36 [size =\"38878208\"]\n  23 -> 38 [size =\"38878208\"]\n  23 -> 40 [size =\"38878208\"]\n  24 [size=\"86531413\", alpha=\"0.02\", expect_size=\"25959424\"] \n  24 -> 40 [size =\"25959424\"]\n  24 -> 44 [size =\"25959424\"]\n  25 [size=\"93743787\", alpha=\"0.11\", expect_size=\"28123136\"] \n  25 -> 36 [size =\"28123136\"]\n  25 -> 39 [size =\"28123136\"]\n  25 -> 40 [size =\"28123136\"]\n  25 -> 41 [size =\"28123136\"]\n  26 [size=\"156313600\", alpha=\"0.15\", expect_size=\"46894080\"] \n  26 -> 40 [size =\"46894080\"]\n  26 -> 42 [size =\"46894080\"]\n  27 [size=\"17476267\", alpha=\"0.05\", expect_size=\"5242880\"] \n  27 -> 36 [size =\"5242880\"]\n  27 -> 37 [size =\"5242880\"]\n  27 -> 40 [size =\"5242880\"]\n  27 -> 42 [size =\"5242880\"]\n  28 [size=\"40833707\", alpha=\"0.03\", expect_size=\"12250112\"] \n  28 -> 34 [size =\"12250112\"]\n  28 -> 39 [size =\"12250112\"]\n  28 -> 40 [size =\"12250112\"]\n  28 -> 41 [size =\"12250112\"]\n  29 [size=\"78824107\", alpha=\"0.08\", expect_size=\"23647232\"] \n  29 -> 39 [size =\"23647232\"]\n  29 -> 40 [size =\"23647232\"]\n  29 -> 40 [size =\"23647232\"]\n  29 -> 44 [size =\"23647232\"]\n  30 [size=\"163119787\", alpha=\"0.09\", expect_size=\"48935936\"] \n  30 -> 36 [size =\"48935936\"]\n  30 -> 38 [size =\"48935936\"]\n  30 -> 40 [size =\"48935936\"]\n  31 [size=\"64638293\", alpha=\"0.19\", expect_size=\"19391488\"] \n  31 -> 40 [size =\"19391488\"]\n  31 -> 41 [size =\"19391488\"]\n  31 -> 44 [size =\"19391488\"]\n  32 [size=\"26842453\", alpha=\"0.02\", expect_size=\"8052736\"] \n  32 -> 34 [size =\"8052736\"]\n  32 -> 38 [size =\"8052736\"]\n  32 -> 40 [size =\"8052736\"]\n  32 -> 41 [size =\"8052736\"]\n  33 [size=\"38618453\", alpha=\"0.11\", expect_size=\"11585536\"] \n  33 -> 36 [size =\"11585536\"]\n  33 -> 37 [size =\"11585536\"]\n  33 -> 39 [size =\"11585536\"]\n  33 -> 40 [size =\"11585536\"]\n  33 -> 41 [size =\"11585536\"]\n  33 -> 44 [size =\"11585536\"]\n  34 [size=\"27955200\", alpha=\"0.19\", expect_size=\"8386560\"] \n  35 [size=\"42011307\", alpha=\"0.09\", expect_size=\"12603392\"] \n  36 [size=\"131433813\", alpha=\"0.14\", expect_size=\"39430144\"] \n  37 [size=\"90013013\", alpha=\"0.10\", expect_size=\"27003904\"] \n  38 [size=\"128146773\", alpha=\"0.02\", expect_size=\"38444032\"] \n  39 [size=\"150828373\", alpha=\"0.16\", expect_size=\"45248512\"] \n  40 [size=\"55234560\", alpha=\"0.11\", expect_size=\"16570368\"] \n  41 [size=\"124337493\", alpha=\"0.16\", expect_size=\"37301248\"] \n  42 [size=\"112981333\", alpha=\"0.04\", expect_size=\"33894400\"] \n  43 [size=\"127580160\", alpha=\"0.07\", expect_size=\"38274048\"] \n  44 [size=\"56514560\", alpha=\"0.18\", expect_size=\"16954368\"] \n  45 [size=\"46673920\", alpha=\"0.19\", expect_size=\"14002176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25180160\", alpha=\"0.09\", expect_size=\"7554048\"] \n  1 -> 2 [size =\"7554048\"]\n  2 [size=\"94917973\", alpha=\"0.04\", expect_size=\"28475392\"] \n  2 -> 3 [size =\"28475392\"]\n  3 [size=\"23633920\", alpha=\"0.01\", expect_size=\"7090176\"] \n  3 -> 4 [size =\"7090176\"]\n  4 [size=\"133434027\", alpha=\"0.05\", expect_size=\"40030208\"] \n  4 -> 5 [size =\"40030208\"]\n  5 [size=\"142438400\", alpha=\"0.05\", expect_size=\"42731520\"] \n  5 -> 6 [size =\"42731520\"]\n  6 [size=\"143513600\", alpha=\"0.15\", expect_size=\"43054080\"] \n  6 -> 7 [size =\"43054080\"]\n  7 [size=\"27016533\", alpha=\"0.13\", expect_size=\"8104960\"] \n  7 -> 8 [size =\"8104960\"]\n  8 [size=\"27842560\", alpha=\"0.07\", expect_size=\"8352768\"] \n  8 -> 9 [size =\"8352768\"]\n  9 [size=\"21763413\", alpha=\"0.09\", expect_size=\"6529024\"] \n  9 -> 10 [size =\"6529024\"]\n  10 [size=\"110523733\", alpha=\"0.07\", expect_size=\"33157120\"] \n  10 -> 11 [size =\"33157120\"]\n  11 [size=\"158487893\", alpha=\"0.18\", expect_size=\"47546368\"] \n  11 -> 12 [size =\"47546368\"]\n  12 [size=\"71092907\", alpha=\"0.15\", expect_size=\"21327872\"] \n  12 -> 13 [size =\"21327872\"]\n  13 [size=\"103338667\", alpha=\"0.17\", expect_size=\"31001600\"] \n  13 -> 14 [size =\"31001600\"]\n  14 [size=\"112742400\", alpha=\"0.07\", expect_size=\"33822720\"] \n  14 -> 15 [size =\"33822720\"]\n  15 [size=\"154917547\", alpha=\"0.10\", expect_size=\"46475264\"] \n  15 -> 16 [size =\"46475264\"]\n  16 [size=\"37474987\", alpha=\"0.19\", expect_size=\"11242496\"] \n  16 -> 17 [size =\"11242496\"]\n  17 [size=\"159006720\", alpha=\"0.13\", expect_size=\"47702016\"] \n  17 -> 18 [size =\"47702016\"]\n  18 [size=\"107414187\", alpha=\"0.07\", expect_size=\"32224256\"] \n  18 -> 19 [size =\"32224256\"]\n  19 [size=\"164150613\", alpha=\"0.02\", expect_size=\"49245184\"] \n  19 -> 20 [size =\"49245184\"]\n  20 [size=\"78001493\", alpha=\"0.16\", expect_size=\"23400448\"] \n  20 -> 21 [size =\"23400448\"]\n  21 [size=\"129955840\", alpha=\"0.10\", expect_size=\"38986752\"] \n  21 -> 22 [size =\"38986752\"]\n  22 [size=\"114595840\", alpha=\"0.14\", expect_size=\"34378752\"] \n  22 -> 23 [size =\"34378752\"]\n  23 [size=\"76165120\", alpha=\"0.19\", expect_size=\"22849536\"] \n  23 -> 24 [size =\"22849536\"]\n  24 [size=\"49285120\", alpha=\"0.19\", expect_size=\"14785536\"] \n  24 -> 25 [size =\"14785536\"]\n  25 [size=\"105871360\", alpha=\"0.15\", expect_size=\"31761408\"] \n  25 -> 26 [size =\"31761408\"]\n  26 [size=\"29678933\", alpha=\"0.06\", expect_size=\"8903680\"] \n  26 -> 27 [size =\"8903680\"]\n  27 [size=\"21032960\", alpha=\"0.19\", expect_size=\"6309888\"] \n  27 -> 28 [size =\"6309888\"]\n  28 [size=\"121968640\", alpha=\"0.13\", expect_size=\"36590592\"] \n  28 -> 29 [size =\"36590592\"]\n  29 [size=\"18237440\", alpha=\"0.08\", expect_size=\"5471232\"] \n  29 -> 30 [size =\"5471232\"]\n  30 [size=\"37512533\", alpha=\"0.14\", expect_size=\"11253760\"] \n  30 -> 31 [size =\"11253760\"]\n  31 [size=\"161686187\", alpha=\"0.19\", expect_size=\"48505856\"] \n  31 -> 32 [size =\"48505856\"]\n  32 [size=\"83899733\", alpha=\"0.10\", expect_size=\"25169920\"] \n  32 -> 33 [size =\"25169920\"]\n  33 [size=\"38877867\", alpha=\"0.12\", expect_size=\"11663360\"] \n  33 -> 34 [size =\"11663360\"]\n  34 [size=\"32781653\", alpha=\"0.07\", expect_size=\"9834496\"] \n  34 -> 35 [size =\"9834496\"]\n  35 [size=\"24285867\", alpha=\"0.18\", expect_size=\"7285760\"] \n  35 -> 36 [size =\"7285760\"]\n  36 [size=\"138349227\", alpha=\"0.13\", expect_size=\"41504768\"] \n  36 -> 37 [size =\"41504768\"]\n  37 [size=\"29160107\", alpha=\"0.05\", expect_size=\"8748032\"] \n  37 -> 38 [size =\"8748032\"]\n  38 [size=\"20824747\", alpha=\"0.09\", expect_size=\"6247424\"] \n  38 -> 39 [size =\"6247424\"]\n  39 [size=\"123719680\", alpha=\"0.11\", expect_size=\"37115904\"] \n  39 -> 40 [size =\"37115904\"]\n  40 [size=\"27552427\", alpha=\"0.01\", expect_size=\"8265728\"] \n  40 -> 41 [size =\"8265728\"]\n  41 [size=\"139950080\", alpha=\"0.06\", expect_size=\"41985024\"] \n  41 -> 42 [size =\"41985024\"]\n  42 [size=\"130068480\", alpha=\"0.02\", expect_size=\"39020544\"] \n  42 -> 43 [size =\"39020544\"]\n  43 [size=\"51524267\", alpha=\"0.07\", expect_size=\"15457280\"] \n  43 -> 44 [size =\"15457280\"]\n  44 [size=\"147466240\", alpha=\"0.15\", expect_size=\"44239872\"] \n  44 -> 45 [size =\"44239872\"]\n  45 [size=\"41308160\", alpha=\"0.14\", expect_size=\"12392448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34618880\", alpha=\"0.05\", expect_size=\"13847552\"] \n  1 -> 4 [size =\"13847552\"]\n  2 [size=\"63782400\", alpha=\"0.03\", expect_size=\"25512960\"] \n  2 -> 4 [size =\"25512960\"]\n  2 -> 6 [size =\"25512960\"]\n  3 [size=\"67852800\", alpha=\"0.03\", expect_size=\"27141120\"] \n  3 -> 4 [size =\"27141120\"]\n  3 -> 5 [size =\"27141120\"]\n  4 [size=\"27205120\", alpha=\"0.18\", expect_size=\"10882048\"] \n  4 -> 8 [size =\"10882048\"]\n  5 [size=\"95137280\", alpha=\"0.08\", expect_size=\"38054912\"] \n  5 -> 7 [size =\"38054912\"]\n  5 -> 9 [size =\"38054912\"]\n  6 [size=\"108193280\", alpha=\"0.19\", expect_size=\"43277312\"] \n  6 -> 8 [size =\"43277312\"]\n  6 -> 9 [size =\"43277312\"]\n  7 [size=\"113169920\", alpha=\"0.20\", expect_size=\"45267968\"] \n  7 -> 11 [size =\"45267968\"]\n  7 -> 12 [size =\"45267968\"]\n  8 [size=\"126988800\", alpha=\"0.12\", expect_size=\"50795520\"] \n  8 -> 10 [size =\"50795520\"]\n  8 -> 11 [size =\"50795520\"]\n  9 [size=\"48952320\", alpha=\"0.04\", expect_size=\"19580928\"] \n  9 -> 10 [size =\"19580928\"]\n  10 [size=\"48453120\", alpha=\"0.07\", expect_size=\"19381248\"] \n  10 -> 13 [size =\"19381248\"]\n  11 [size=\"116416000\", alpha=\"0.03\", expect_size=\"46566400\"] \n  12 [size=\"28003840\", alpha=\"0.11\", expect_size=\"11201536\"] \n  12 -> 13 [size =\"11201536\"]\n  13 [size=\"46297600\", alpha=\"0.01\", expect_size=\"18519040\"] \n  13 -> 14 [size =\"18519040\"]\n  13 -> 15 [size =\"18519040\"]\n  13 -> 16 [size =\"18519040\"]\n  14 [size=\"64686080\", alpha=\"0.11\", expect_size=\"25874432\"] \n  15 [size=\"53340160\", alpha=\"0.13\", expect_size=\"21336064\"] \n  15 -> 18 [size =\"21336064\"]\n  15 -> 19 [size =\"21336064\"]\n  16 [size=\"102922240\", alpha=\"0.08\", expect_size=\"41168896\"] \n  16 -> 17 [size =\"41168896\"]\n  17 [size=\"94359040\", alpha=\"0.17\", expect_size=\"37743616\"] \n  17 -> 20 [size =\"37743616\"]\n  18 [size=\"93683200\", alpha=\"0.08\", expect_size=\"37473280\"] \n  19 [size=\"43786240\", alpha=\"0.02\", expect_size=\"17514496\"] \n  19 -> 20 [size =\"17514496\"]\n  20 [size=\"65341440\", alpha=\"0.05\", expect_size=\"26136576\"] \n  20 -> 21 [size =\"26136576\"]\n  20 -> 22 [size =\"26136576\"]\n  20 -> 23 [size =\"26136576\"]\n  21 [size=\"105615360\", alpha=\"0.12\", expect_size=\"42246144\"] \n  21 -> 24 [size =\"42246144\"]\n  22 [size=\"124413440\", alpha=\"0.08\", expect_size=\"49765376\"] \n  22 -> 24 [size =\"49765376\"]\n  23 [size=\"72870400\", alpha=\"0.13\", expect_size=\"29148160\"] \n  24 [size=\"80424960\", alpha=\"0.00\", expect_size=\"32169984\"] \n  24 -> 25 [size =\"32169984\"]\n  25 [size=\"27550720\", alpha=\"0.01\", expect_size=\"11020288\"] \n  25 -> 26 [size =\"11020288\"]\n  26 [size=\"102451200\", alpha=\"0.19\", expect_size=\"40980480\"] \n  26 -> 27 [size =\"40980480\"]\n  26 -> 28 [size =\"40980480\"]\n  26 -> 29 [size =\"40980480\"]\n  27 [size=\"30538240\", alpha=\"0.13\", expect_size=\"12215296\"] \n  27 -> 30 [size =\"12215296\"]\n  27 -> 31 [size =\"12215296\"]\n  28 [size=\"128844800\", alpha=\"0.06\", expect_size=\"51537920\"] \n  29 [size=\"57610240\", alpha=\"0.06\", expect_size=\"23044096\"] \n  29 -> 31 [size =\"23044096\"]\n  30 [size=\"69352960\", alpha=\"0.12\", expect_size=\"27741184\"] \n  30 -> 32 [size =\"27741184\"]\n  31 [size=\"100871680\", alpha=\"0.15\", expect_size=\"40348672\"] \n  32 [size=\"55708160\", alpha=\"0.00\", expect_size=\"22283264\"] \n  32 -> 33 [size =\"22283264\"]\n  32 -> 34 [size =\"22283264\"]\n  32 -> 35 [size =\"22283264\"]\n  33 [size=\"102507520\", alpha=\"0.12\", expect_size=\"41003008\"] \n  33 -> 37 [size =\"41003008\"]\n  33 -> 38 [size =\"41003008\"]\n  34 [size=\"60085760\", alpha=\"0.12\", expect_size=\"24034304\"] \n  34 -> 36 [size =\"24034304\"]\n  34 -> 39 [size =\"24034304\"]\n  35 [size=\"60508160\", alpha=\"0.19\", expect_size=\"24203264\"] \n  35 -> 38 [size =\"24203264\"]\n  35 -> 39 [size =\"24203264\"]\n  36 [size=\"67840000\", alpha=\"0.01\", expect_size=\"27136000\"] \n  37 [size=\"59205120\", alpha=\"0.17\", expect_size=\"23682048\"] \n  37 -> 41 [size =\"23682048\"]\n  38 [size=\"16701440\", alpha=\"0.06\", expect_size=\"6680576\"] \n  38 -> 41 [size =\"6680576\"]\n  39 [size=\"54210560\", alpha=\"0.01\", expect_size=\"21684224\"] \n  39 -> 40 [size =\"21684224\"]\n  39 -> 41 [size =\"21684224\"]\n  40 [size=\"89615360\", alpha=\"0.05\", expect_size=\"35846144\"] \n  40 -> 42 [size =\"35846144\"]\n  41 [size=\"40302080\", alpha=\"0.04\", expect_size=\"16120832\"] \n  41 -> 42 [size =\"16120832\"]\n  42 [size=\"127541760\", alpha=\"0.02\", expect_size=\"51016704\"] \n  42 -> 43 [size =\"51016704\"]\n  42 -> 44 [size =\"51016704\"]\n  42 -> 45 [size =\"51016704\"]\n  43 [size=\"130306560\", alpha=\"0.10\", expect_size=\"52122624\"] \n  44 [size=\"81786880\", alpha=\"0.10\", expect_size=\"32714752\"] \n  45 [size=\"33561600\", alpha=\"0.12\", expect_size=\"13424640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128573440\", alpha=\"0.05\", expect_size=\"51429376\"] \n  1 -> 15 [size =\"51429376\"]\n  1 -> 17 [size =\"51429376\"]\n  1 -> 19 [size =\"51429376\"]\n  1 -> 21 [size =\"51429376\"]\n  1 -> 22 [size =\"51429376\"]\n  2 [size=\"28702720\", alpha=\"0.05\", expect_size=\"11481088\"] \n  2 -> 15 [size =\"11481088\"]\n  2 -> 19 [size =\"11481088\"]\n  2 -> 19 [size =\"11481088\"]\n  2 -> 21 [size =\"11481088\"]\n  2 -> 24 [size =\"11481088\"]\n  2 -> 25 [size =\"11481088\"]\n  2 -> 26 [size =\"11481088\"]\n  3 [size=\"29140480\", alpha=\"0.18\", expect_size=\"11656192\"] \n  3 -> 14 [size =\"11656192\"]\n  3 -> 15 [size =\"11656192\"]\n  3 -> 19 [size =\"11656192\"]\n  3 -> 24 [size =\"11656192\"]\n  4 [size=\"65208320\", alpha=\"0.00\", expect_size=\"26083328\"] \n  4 -> 15 [size =\"26083328\"]\n  4 -> 21 [size =\"26083328\"]\n  4 -> 22 [size =\"26083328\"]\n  5 [size=\"55388160\", alpha=\"0.11\", expect_size=\"22155264\"] \n  5 -> 15 [size =\"22155264\"]\n  5 -> 19 [size =\"22155264\"]\n  5 -> 20 [size =\"22155264\"]\n  5 -> 21 [size =\"22155264\"]\n  5 -> 22 [size =\"22155264\"]\n  5 -> 23 [size =\"22155264\"]\n  5 -> 24 [size =\"22155264\"]\n  5 -> 25 [size =\"22155264\"]\n  6 [size=\"60175360\", alpha=\"0.09\", expect_size=\"24070144\"] \n  6 -> 16 [size =\"24070144\"]\n  6 -> 18 [size =\"24070144\"]\n  6 -> 19 [size =\"24070144\"]\n  6 -> 20 [size =\"24070144\"]\n  6 -> 22 [size =\"24070144\"]\n  6 -> 24 [size =\"24070144\"]\n  6 -> 24 [size =\"24070144\"]\n  6 -> 26 [size =\"24070144\"]\n  7 [size=\"90383360\", alpha=\"0.07\", expect_size=\"36153344\"] \n  7 -> 14 [size =\"36153344\"]\n  7 -> 15 [size =\"36153344\"]\n  7 -> 17 [size =\"36153344\"]\n  7 -> 20 [size =\"36153344\"]\n  7 -> 21 [size =\"36153344\"]\n  7 -> 22 [size =\"36153344\"]\n  7 -> 24 [size =\"36153344\"]\n  7 -> 26 [size =\"36153344\"]\n  8 [size=\"85332480\", alpha=\"0.18\", expect_size=\"34132992\"] \n  8 -> 15 [size =\"34132992\"]\n  8 -> 20 [size =\"34132992\"]\n  8 -> 21 [size =\"34132992\"]\n  8 -> 24 [size =\"34132992\"]\n  8 -> 26 [size =\"34132992\"]\n  9 [size=\"112097280\", alpha=\"0.04\", expect_size=\"44838912\"] \n  9 -> 15 [size =\"44838912\"]\n  9 -> 19 [size =\"44838912\"]\n  9 -> 20 [size =\"44838912\"]\n  9 -> 21 [size =\"44838912\"]\n  9 -> 22 [size =\"44838912\"]\n  9 -> 26 [size =\"44838912\"]\n  10 [size=\"48896000\", alpha=\"0.08\", expect_size=\"19558400\"] \n  10 -> 20 [size =\"19558400\"]\n  10 -> 25 [size =\"19558400\"]\n  10 -> 26 [size =\"19558400\"]\n  11 [size=\"126307840\", alpha=\"0.01\", expect_size=\"50523136\"] \n  11 -> 14 [size =\"50523136\"]\n  11 -> 17 [size =\"50523136\"]\n  11 -> 18 [size =\"50523136\"]\n  11 -> 21 [size =\"50523136\"]\n  11 -> 23 [size =\"50523136\"]\n  11 -> 24 [size =\"50523136\"]\n  11 -> 25 [size =\"50523136\"]\n  11 -> 26 [size =\"50523136\"]\n  12 [size=\"35317760\", alpha=\"0.17\", expect_size=\"14127104\"] \n  12 -> 17 [size =\"14127104\"]\n  12 -> 19 [size =\"14127104\"]\n  12 -> 20 [size =\"14127104\"]\n  12 -> 21 [size =\"14127104\"]\n  12 -> 24 [size =\"14127104\"]\n  12 -> 25 [size =\"14127104\"]\n  13 [size=\"63132160\", alpha=\"0.06\", expect_size=\"25252864\"] \n  13 -> 14 [size =\"25252864\"]\n  13 -> 15 [size =\"25252864\"]\n  13 -> 17 [size =\"25252864\"]\n  13 -> 18 [size =\"25252864\"]\n  13 -> 19 [size =\"25252864\"]\n  13 -> 21 [size =\"25252864\"]\n  14 [size=\"49574400\", alpha=\"0.18\", expect_size=\"19829760\"] \n  14 -> 27 [size =\"19829760\"]\n  14 -> 28 [size =\"19829760\"]\n  14 -> 29 [size =\"19829760\"]\n  14 -> 34 [size =\"19829760\"]\n  14 -> 35 [size =\"19829760\"]\n  14 -> 36 [size =\"19829760\"]\n  14 -> 37 [size =\"19829760\"]\n  14 -> 38 [size =\"19829760\"]\n  15 [size=\"52503040\", alpha=\"0.18\", expect_size=\"21001216\"] \n  15 -> 27 [size =\"21001216\"]\n  15 -> 28 [size =\"21001216\"]\n  15 -> 29 [size =\"21001216\"]\n  15 -> 30 [size =\"21001216\"]\n  15 -> 33 [size =\"21001216\"]\n  15 -> 35 [size =\"21001216\"]\n  15 -> 36 [size =\"21001216\"]\n  15 -> 37 [size =\"21001216\"]\n  15 -> 38 [size =\"21001216\"]\n  16 [size=\"116833280\", alpha=\"0.15\", expect_size=\"46733312\"] \n  16 -> 27 [size =\"46733312\"]\n  16 -> 28 [size =\"46733312\"]\n  16 -> 30 [size =\"46733312\"]\n  16 -> 33 [size =\"46733312\"]\n  16 -> 34 [size =\"46733312\"]\n  16 -> 38 [size =\"46733312\"]\n  16 -> 39 [size =\"46733312\"]\n  17 [size=\"49236480\", alpha=\"0.18\", expect_size=\"19694592\"] \n  17 -> 27 [size =\"19694592\"]\n  17 -> 28 [size =\"19694592\"]\n  17 -> 29 [size =\"19694592\"]\n  17 -> 30 [size =\"19694592\"]\n  17 -> 34 [size =\"19694592\"]\n  17 -> 35 [size =\"19694592\"]\n  17 -> 37 [size =\"19694592\"]\n  18 [size=\"92177920\", alpha=\"0.06\", expect_size=\"36871168\"] \n  18 -> 27 [size =\"36871168\"]\n  18 -> 28 [size =\"36871168\"]\n  18 -> 29 [size =\"36871168\"]\n  18 -> 30 [size =\"36871168\"]\n  18 -> 31 [size =\"36871168\"]\n  18 -> 33 [size =\"36871168\"]\n  18 -> 36 [size =\"36871168\"]\n  18 -> 38 [size =\"36871168\"]\n  18 -> 39 [size =\"36871168\"]\n  19 [size=\"79644160\", alpha=\"0.11\", expect_size=\"31857664\"] \n  19 -> 27 [size =\"31857664\"]\n  19 -> 28 [size =\"31857664\"]\n  19 -> 30 [size =\"31857664\"]\n  19 -> 34 [size =\"31857664\"]\n  19 -> 35 [size =\"31857664\"]\n  19 -> 38 [size =\"31857664\"]\n  20 [size=\"105866240\", alpha=\"0.04\", expect_size=\"42346496\"] \n  20 -> 27 [size =\"42346496\"]\n  20 -> 28 [size =\"42346496\"]\n  20 -> 33 [size =\"42346496\"]\n  20 -> 34 [size =\"42346496\"]\n  20 -> 36 [size =\"42346496\"]\n  20 -> 38 [size =\"42346496\"]\n  20 -> 39 [size =\"42346496\"]\n  21 [size=\"37908480\", alpha=\"0.17\", expect_size=\"15163392\"] \n  21 -> 27 [size =\"15163392\"]\n  21 -> 28 [size =\"15163392\"]\n  21 -> 29 [size =\"15163392\"]\n  21 -> 33 [size =\"15163392\"]\n  21 -> 36 [size =\"15163392\"]\n  21 -> 37 [size =\"15163392\"]\n  22 [size=\"42506240\", alpha=\"0.12\", expect_size=\"17002496\"] \n  22 -> 28 [size =\"17002496\"]\n  22 -> 28 [size =\"17002496\"]\n  22 -> 29 [size =\"17002496\"]\n  22 -> 30 [size =\"17002496\"]\n  22 -> 31 [size =\"17002496\"]\n  22 -> 33 [size =\"17002496\"]\n  22 -> 36 [size =\"17002496\"]\n  22 -> 37 [size =\"17002496\"]\n  23 [size=\"23485440\", alpha=\"0.10\", expect_size=\"9394176\"] \n  23 -> 27 [size =\"9394176\"]\n  23 -> 28 [size =\"9394176\"]\n  23 -> 29 [size =\"9394176\"]\n  23 -> 31 [size =\"9394176\"]\n  23 -> 31 [size =\"9394176\"]\n  23 -> 32 [size =\"9394176\"]\n  23 -> 33 [size =\"9394176\"]\n  23 -> 37 [size =\"9394176\"]\n  23 -> 38 [size =\"9394176\"]\n  23 -> 39 [size =\"9394176\"]\n  24 [size=\"56980480\", alpha=\"0.17\", expect_size=\"22792192\"] \n  24 -> 27 [size =\"22792192\"]\n  24 -> 31 [size =\"22792192\"]\n  24 -> 33 [size =\"22792192\"]\n  24 -> 34 [size =\"22792192\"]\n  24 -> 35 [size =\"22792192\"]\n  24 -> 36 [size =\"22792192\"]\n  25 [size=\"46323200\", alpha=\"0.11\", expect_size=\"18529280\"] \n  25 -> 27 [size =\"18529280\"]\n  25 -> 29 [size =\"18529280\"]\n  25 -> 33 [size =\"18529280\"]\n  25 -> 34 [size =\"18529280\"]\n  25 -> 38 [size =\"18529280\"]\n  25 -> 39 [size =\"18529280\"]\n  26 [size=\"35059200\", alpha=\"0.13\", expect_size=\"14023680\"] \n  26 -> 27 [size =\"14023680\"]\n  26 -> 28 [size =\"14023680\"]\n  26 -> 29 [size =\"14023680\"]\n  26 -> 30 [size =\"14023680\"]\n  26 -> 31 [size =\"14023680\"]\n  26 -> 34 [size =\"14023680\"]\n  26 -> 35 [size =\"14023680\"]\n  26 -> 36 [size =\"14023680\"]\n  26 -> 37 [size =\"14023680\"]\n  26 -> 38 [size =\"14023680\"]\n  27 [size=\"121651200\", alpha=\"0.08\", expect_size=\"48660480\"] \n  27 -> 40 [size =\"48660480\"]\n  27 -> 41 [size =\"48660480\"]\n  27 -> 42 [size =\"48660480\"]\n  28 [size=\"110865920\", alpha=\"0.15\", expect_size=\"44346368\"] \n  28 -> 40 [size =\"44346368\"]\n  28 -> 41 [size =\"44346368\"]\n  28 -> 42 [size =\"44346368\"]\n  28 -> 43 [size =\"44346368\"]\n  28 -> 45 [size =\"44346368\"]\n  29 [size=\"27727360\", alpha=\"0.19\", expect_size=\"11090944\"] \n  29 -> 40 [size =\"11090944\"]\n  29 -> 42 [size =\"11090944\"]\n  29 -> 42 [size =\"11090944\"]\n  29 -> 43 [size =\"11090944\"]\n  29 -> 44 [size =\"11090944\"]\n  29 -> 45 [size =\"11090944\"]\n  30 [size=\"92093440\", alpha=\"0.09\", expect_size=\"36837376\"] \n  30 -> 40 [size =\"36837376\"]\n  30 -> 41 [size =\"36837376\"]\n  30 -> 42 [size =\"36837376\"]\n  30 -> 43 [size =\"36837376\"]\n  30 -> 45 [size =\"36837376\"]\n  30 -> 45 [size =\"36837376\"]\n  31 [size=\"115479040\", alpha=\"0.19\", expect_size=\"46191616\"] \n  31 -> 40 [size =\"46191616\"]\n  31 -> 41 [size =\"46191616\"]\n  31 -> 42 [size =\"46191616\"]\n  31 -> 43 [size =\"46191616\"]\n  31 -> 44 [size =\"46191616\"]\n  32 [size=\"95388160\", alpha=\"0.12\", expect_size=\"38155264\"] \n  32 -> 40 [size =\"38155264\"]\n  32 -> 41 [size =\"38155264\"]\n  32 -> 43 [size =\"38155264\"]\n  32 -> 43 [size =\"38155264\"]\n  32 -> 44 [size =\"38155264\"]\n  33 [size=\"47418880\", alpha=\"0.13\", expect_size=\"18967552\"] \n  33 -> 40 [size =\"18967552\"]\n  33 -> 41 [size =\"18967552\"]\n  33 -> 44 [size =\"18967552\"]\n  33 -> 45 [size =\"18967552\"]\n  34 [size=\"105566720\", alpha=\"0.01\", expect_size=\"42226688\"] \n  34 -> 40 [size =\"42226688\"]\n  34 -> 41 [size =\"42226688\"]\n  34 -> 43 [size =\"42226688\"]\n  34 -> 45 [size =\"42226688\"]\n  35 [size=\"86010880\", alpha=\"0.16\", expect_size=\"34404352\"] \n  35 -> 40 [size =\"34404352\"]\n  35 -> 41 [size =\"34404352\"]\n  35 -> 42 [size =\"34404352\"]\n  35 -> 43 [size =\"34404352\"]\n  35 -> 44 [size =\"34404352\"]\n  35 -> 45 [size =\"34404352\"]\n  36 [size=\"31027200\", alpha=\"0.08\", expect_size=\"12410880\"] \n  36 -> 40 [size =\"12410880\"]\n  36 -> 41 [size =\"12410880\"]\n  36 -> 42 [size =\"12410880\"]\n  36 -> 43 [size =\"12410880\"]\n  37 [size=\"105651200\", alpha=\"0.06\", expect_size=\"42260480\"] \n  37 -> 40 [size =\"42260480\"]\n  37 -> 41 [size =\"42260480\"]\n  37 -> 42 [size =\"42260480\"]\n  38 [size=\"33267200\", alpha=\"0.18\", expect_size=\"13306880\"] \n  38 -> 40 [size =\"13306880\"]\n  38 -> 41 [size =\"13306880\"]\n  38 -> 42 [size =\"13306880\"]\n  38 -> 43 [size =\"13306880\"]\n  38 -> 44 [size =\"13306880\"]\n  38 -> 45 [size =\"13306880\"]\n  39 [size=\"122032640\", alpha=\"0.00\", expect_size=\"48813056\"] \n  39 -> 41 [size =\"48813056\"]\n  39 -> 42 [size =\"48813056\"]\n  39 -> 43 [size =\"48813056\"]\n  39 -> 44 [size =\"48813056\"]\n  39 -> 45 [size =\"48813056\"]\n  40 [size=\"117040640\", alpha=\"0.19\", expect_size=\"46816256\"] \n  41 [size=\"54080000\", alpha=\"0.02\", expect_size=\"21632000\"] \n  42 [size=\"46353920\", alpha=\"0.10\", expect_size=\"18541568\"] \n  43 [size=\"116072960\", alpha=\"0.19\", expect_size=\"46429184\"] \n  44 [size=\"77337600\", alpha=\"0.16\", expect_size=\"30935040\"] \n  45 [size=\"84579840\", alpha=\"0.19\", expect_size=\"33831936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71386453\", alpha=\"0.19\", expect_size=\"21415936\"] \n  1 -> 17 [size =\"21415936\"]\n  1 -> 18 [size =\"21415936\"]\n  1 -> 20 [size =\"21415936\"]\n  1 -> 24 [size =\"21415936\"]\n  1 -> 25 [size =\"21415936\"]\n  1 -> 28 [size =\"21415936\"]\n  2 [size=\"130304000\", alpha=\"0.08\", expect_size=\"39091200\"] \n  2 -> 17 [size =\"39091200\"]\n  2 -> 18 [size =\"39091200\"]\n  2 -> 20 [size =\"39091200\"]\n  2 -> 22 [size =\"39091200\"]\n  2 -> 24 [size =\"39091200\"]\n  2 -> 27 [size =\"39091200\"]\n  2 -> 29 [size =\"39091200\"]\n  2 -> 30 [size =\"39091200\"]\n  2 -> 32 [size =\"39091200\"]\n  3 [size=\"119558827\", alpha=\"0.14\", expect_size=\"35867648\"] \n  3 -> 17 [size =\"35867648\"]\n  3 -> 18 [size =\"35867648\"]\n  3 -> 20 [size =\"35867648\"]\n  3 -> 22 [size =\"35867648\"]\n  3 -> 28 [size =\"35867648\"]\n  3 -> 31 [size =\"35867648\"]\n  4 [size=\"102147413\", alpha=\"0.09\", expect_size=\"30644224\"] \n  4 -> 18 [size =\"30644224\"]\n  4 -> 19 [size =\"30644224\"]\n  4 -> 20 [size =\"30644224\"]\n  4 -> 21 [size =\"30644224\"]\n  4 -> 22 [size =\"30644224\"]\n  4 -> 27 [size =\"30644224\"]\n  4 -> 28 [size =\"30644224\"]\n  4 -> 32 [size =\"30644224\"]\n  4 -> 33 [size =\"30644224\"]\n  5 [size=\"51049813\", alpha=\"0.08\", expect_size=\"15314944\"] \n  5 -> 18 [size =\"15314944\"]\n  5 -> 20 [size =\"15314944\"]\n  5 -> 20 [size =\"15314944\"]\n  5 -> 21 [size =\"15314944\"]\n  5 -> 22 [size =\"15314944\"]\n  5 -> 23 [size =\"15314944\"]\n  5 -> 25 [size =\"15314944\"]\n  5 -> 26 [size =\"15314944\"]\n  5 -> 27 [size =\"15314944\"]\n  5 -> 28 [size =\"15314944\"]\n  5 -> 32 [size =\"15314944\"]\n  6 [size=\"129628160\", alpha=\"0.11\", expect_size=\"38888448\"] \n  6 -> 17 [size =\"38888448\"]\n  6 -> 18 [size =\"38888448\"]\n  6 -> 21 [size =\"38888448\"]\n  6 -> 22 [size =\"38888448\"]\n  6 -> 22 [size =\"38888448\"]\n  6 -> 25 [size =\"38888448\"]\n  6 -> 26 [size =\"38888448\"]\n  6 -> 27 [size =\"38888448\"]\n  6 -> 31 [size =\"38888448\"]\n  6 -> 32 [size =\"38888448\"]\n  6 -> 33 [size =\"38888448\"]\n  7 [size=\"25227947\", alpha=\"0.16\", expect_size=\"7568384\"] \n  7 -> 18 [size =\"7568384\"]\n  7 -> 18 [size =\"7568384\"]\n  7 -> 25 [size =\"7568384\"]\n  7 -> 26 [size =\"7568384\"]\n  7 -> 28 [size =\"7568384\"]\n  7 -> 31 [size =\"7568384\"]\n  7 -> 32 [size =\"7568384\"]\n  7 -> 33 [size =\"7568384\"]\n  8 [size=\"26501120\", alpha=\"0.15\", expect_size=\"7950336\"] \n  8 -> 17 [size =\"7950336\"]\n  8 -> 18 [size =\"7950336\"]\n  8 -> 22 [size =\"7950336\"]\n  8 -> 25 [size =\"7950336\"]\n  8 -> 27 [size =\"7950336\"]\n  8 -> 28 [size =\"7950336\"]\n  8 -> 32 [size =\"7950336\"]\n  8 -> 33 [size =\"7950336\"]\n  9 [size=\"18766507\", alpha=\"0.09\", expect_size=\"5629952\"] \n  9 -> 17 [size =\"5629952\"]\n  9 -> 18 [size =\"5629952\"]\n  9 -> 19 [size =\"5629952\"]\n  9 -> 21 [size =\"5629952\"]\n  9 -> 22 [size =\"5629952\"]\n  9 -> 23 [size =\"5629952\"]\n  9 -> 25 [size =\"5629952\"]\n  9 -> 28 [size =\"5629952\"]\n  9 -> 30 [size =\"5629952\"]\n  9 -> 32 [size =\"5629952\"]\n  9 -> 33 [size =\"5629952\"]\n  10 [size=\"125399040\", alpha=\"0.15\", expect_size=\"37619712\"] \n  10 -> 17 [size =\"37619712\"]\n  10 -> 18 [size =\"37619712\"]\n  10 -> 19 [size =\"37619712\"]\n  10 -> 21 [size =\"37619712\"]\n  10 -> 24 [size =\"37619712\"]\n  10 -> 25 [size =\"37619712\"]\n  10 -> 26 [size =\"37619712\"]\n  10 -> 31 [size =\"37619712\"]\n  10 -> 32 [size =\"37619712\"]\n  10 -> 32 [size =\"37619712\"]\n  10 -> 33 [size =\"37619712\"]\n  11 [size=\"171458560\", alpha=\"0.06\", expect_size=\"51437568\"] \n  11 -> 17 [size =\"51437568\"]\n  11 -> 22 [size =\"51437568\"]\n  11 -> 24 [size =\"51437568\"]\n  11 -> 25 [size =\"51437568\"]\n  11 -> 26 [size =\"51437568\"]\n  11 -> 27 [size =\"51437568\"]\n  11 -> 30 [size =\"51437568\"]\n  11 -> 32 [size =\"51437568\"]\n  11 -> 32 [size =\"51437568\"]\n  11 -> 33 [size =\"51437568\"]\n  11 -> 33 [size =\"51437568\"]\n  12 [size=\"163031040\", alpha=\"0.04\", expect_size=\"48909312\"] \n  12 -> 17 [size =\"48909312\"]\n  12 -> 19 [size =\"48909312\"]\n  12 -> 21 [size =\"48909312\"]\n  12 -> 22 [size =\"48909312\"]\n  12 -> 23 [size =\"48909312\"]\n  12 -> 24 [size =\"48909312\"]\n  12 -> 31 [size =\"48909312\"]\n  12 -> 33 [size =\"48909312\"]\n  13 [size=\"68659200\", alpha=\"0.19\", expect_size=\"20597760\"] \n  13 -> 17 [size =\"20597760\"]\n  13 -> 18 [size =\"20597760\"]\n  13 -> 19 [size =\"20597760\"]\n  13 -> 21 [size =\"20597760\"]\n  13 -> 28 [size =\"20597760\"]\n  13 -> 29 [size =\"20597760\"]\n  13 -> 31 [size =\"20597760\"]\n  13 -> 33 [size =\"20597760\"]\n  14 [size=\"18571947\", alpha=\"0.11\", expect_size=\"5571584\"] \n  14 -> 18 [size =\"5571584\"]\n  14 -> 20 [size =\"5571584\"]\n  14 -> 23 [size =\"5571584\"]\n  14 -> 24 [size =\"5571584\"]\n  14 -> 25 [size =\"5571584\"]\n  14 -> 29 [size =\"5571584\"]\n  14 -> 31 [size =\"5571584\"]\n  14 -> 32 [size =\"5571584\"]\n  14 -> 33 [size =\"5571584\"]\n  15 [size=\"87275520\", alpha=\"0.12\", expect_size=\"26182656\"] \n  15 -> 18 [size =\"26182656\"]\n  15 -> 21 [size =\"26182656\"]\n  15 -> 22 [size =\"26182656\"]\n  15 -> 26 [size =\"26182656\"]\n  15 -> 30 [size =\"26182656\"]\n  15 -> 31 [size =\"26182656\"]\n  15 -> 32 [size =\"26182656\"]\n  15 -> 33 [size =\"26182656\"]\n  15 -> 33 [size =\"26182656\"]\n  16 [size=\"153828693\", alpha=\"0.11\", expect_size=\"46148608\"] \n  16 -> 17 [size =\"46148608\"]\n  16 -> 18 [size =\"46148608\"]\n  16 -> 20 [size =\"46148608\"]\n  16 -> 21 [size =\"46148608\"]\n  16 -> 22 [size =\"46148608\"]\n  16 -> 26 [size =\"46148608\"]\n  16 -> 28 [size =\"46148608\"]\n  16 -> 29 [size =\"46148608\"]\n  16 -> 32 [size =\"46148608\"]\n  16 -> 33 [size =\"46148608\"]\n  17 [size=\"79144960\", alpha=\"0.19\", expect_size=\"23743488\"] \n  17 -> 34 [size =\"23743488\"]\n  17 -> 35 [size =\"23743488\"]\n  17 -> 36 [size =\"23743488\"]\n  17 -> 37 [size =\"23743488\"]\n  17 -> 39 [size =\"23743488\"]\n  17 -> 41 [size =\"23743488\"]\n  17 -> 43 [size =\"23743488\"]\n  17 -> 44 [size =\"23743488\"]\n  18 [size=\"49411413\", alpha=\"0.05\", expect_size=\"14823424\"] \n  18 -> 34 [size =\"14823424\"]\n  18 -> 35 [size =\"14823424\"]\n  18 -> 36 [size =\"14823424\"]\n  18 -> 37 [size =\"14823424\"]\n  18 -> 39 [size =\"14823424\"]\n  18 -> 41 [size =\"14823424\"]\n  18 -> 43 [size =\"14823424\"]\n  19 [size=\"170533547\", alpha=\"0.02\", expect_size=\"51160064\"] \n  19 -> 34 [size =\"51160064\"]\n  19 -> 35 [size =\"51160064\"]\n  19 -> 36 [size =\"51160064\"]\n  19 -> 39 [size =\"51160064\"]\n  19 -> 41 [size =\"51160064\"]\n  19 -> 43 [size =\"51160064\"]\n  20 [size=\"81940480\", alpha=\"0.14\", expect_size=\"24582144\"] \n  20 -> 34 [size =\"24582144\"]\n  20 -> 35 [size =\"24582144\"]\n  20 -> 36 [size =\"24582144\"]\n  20 -> 37 [size =\"24582144\"]\n  20 -> 39 [size =\"24582144\"]\n  20 -> 41 [size =\"24582144\"]\n  20 -> 43 [size =\"24582144\"]\n  21 [size=\"41055573\", alpha=\"0.12\", expect_size=\"12316672\"] \n  21 -> 35 [size =\"12316672\"]\n  21 -> 35 [size =\"12316672\"]\n  21 -> 36 [size =\"12316672\"]\n  21 -> 41 [size =\"12316672\"]\n  21 -> 42 [size =\"12316672\"]\n  22 [size=\"87060480\", alpha=\"0.05\", expect_size=\"26118144\"] \n  22 -> 34 [size =\"26118144\"]\n  22 -> 35 [size =\"26118144\"]\n  22 -> 36 [size =\"26118144\"]\n  22 -> 37 [size =\"26118144\"]\n  22 -> 38 [size =\"26118144\"]\n  22 -> 41 [size =\"26118144\"]\n  22 -> 44 [size =\"26118144\"]\n  23 [size=\"118217387\", alpha=\"0.11\", expect_size=\"35465216\"] \n  23 -> 35 [size =\"35465216\"]\n  23 -> 36 [size =\"35465216\"]\n  23 -> 38 [size =\"35465216\"]\n  23 -> 39 [size =\"35465216\"]\n  23 -> 41 [size =\"35465216\"]\n  23 -> 41 [size =\"35465216\"]\n  23 -> 43 [size =\"35465216\"]\n  23 -> 44 [size =\"35465216\"]\n  24 [size=\"112069973\", alpha=\"0.08\", expect_size=\"33620992\"] \n  24 -> 35 [size =\"33620992\"]\n  24 -> 36 [size =\"33620992\"]\n  24 -> 38 [size =\"33620992\"]\n  24 -> 39 [size =\"33620992\"]\n  24 -> 41 [size =\"33620992\"]\n  24 -> 43 [size =\"33620992\"]\n  24 -> 43 [size =\"33620992\"]\n  24 -> 44 [size =\"33620992\"]\n  25 [size=\"43257173\", alpha=\"0.09\", expect_size=\"12977152\"] \n  25 -> 35 [size =\"12977152\"]\n  25 -> 36 [size =\"12977152\"]\n  25 -> 38 [size =\"12977152\"]\n  25 -> 40 [size =\"12977152\"]\n  25 -> 43 [size =\"12977152\"]\n  25 -> 44 [size =\"12977152\"]\n  26 [size=\"134021120\", alpha=\"0.04\", expect_size=\"40206336\"] \n  26 -> 34 [size =\"40206336\"]\n  26 -> 35 [size =\"40206336\"]\n  26 -> 36 [size =\"40206336\"]\n  26 -> 37 [size =\"40206336\"]\n  26 -> 39 [size =\"40206336\"]\n  26 -> 40 [size =\"40206336\"]\n  26 -> 42 [size =\"40206336\"]\n  26 -> 43 [size =\"40206336\"]\n  26 -> 44 [size =\"40206336\"]\n  27 [size=\"61794987\", alpha=\"0.20\", expect_size=\"18538496\"] \n  27 -> 34 [size =\"18538496\"]\n  27 -> 35 [size =\"18538496\"]\n  27 -> 36 [size =\"18538496\"]\n  27 -> 39 [size =\"18538496\"]\n  27 -> 41 [size =\"18538496\"]\n  27 -> 43 [size =\"18538496\"]\n  27 -> 44 [size =\"18538496\"]\n  28 [size=\"53145600\", alpha=\"0.17\", expect_size=\"15943680\"] \n  28 -> 35 [size =\"15943680\"]\n  28 -> 39 [size =\"15943680\"]\n  28 -> 41 [size =\"15943680\"]\n  28 -> 43 [size =\"15943680\"]\n  28 -> 44 [size =\"15943680\"]\n  29 [size=\"90289493\", alpha=\"0.15\", expect_size=\"27086848\"] \n  29 -> 36 [size =\"27086848\"]\n  29 -> 38 [size =\"27086848\"]\n  29 -> 39 [size =\"27086848\"]\n  29 -> 41 [size =\"27086848\"]\n  29 -> 44 [size =\"27086848\"]\n  30 [size=\"105437867\", alpha=\"0.06\", expect_size=\"31631360\"] \n  30 -> 35 [size =\"31631360\"]\n  30 -> 38 [size =\"31631360\"]\n  30 -> 39 [size =\"31631360\"]\n  30 -> 41 [size =\"31631360\"]\n  30 -> 43 [size =\"31631360\"]\n  30 -> 44 [size =\"31631360\"]\n  31 [size=\"55313067\", alpha=\"0.17\", expect_size=\"16593920\"] \n  31 -> 34 [size =\"16593920\"]\n  31 -> 36 [size =\"16593920\"]\n  31 -> 39 [size =\"16593920\"]\n  31 -> 41 [size =\"16593920\"]\n  31 -> 43 [size =\"16593920\"]\n  31 -> 44 [size =\"16593920\"]\n  32 [size=\"151111680\", alpha=\"0.06\", expect_size=\"45333504\"] \n  32 -> 34 [size =\"45333504\"]\n  32 -> 35 [size =\"45333504\"]\n  32 -> 36 [size =\"45333504\"]\n  32 -> 39 [size =\"45333504\"]\n  32 -> 44 [size =\"45333504\"]\n  32 -> 44 [size =\"45333504\"]\n  33 [size=\"33809067\", alpha=\"0.02\", expect_size=\"10142720\"] \n  33 -> 36 [size =\"10142720\"]\n  33 -> 39 [size =\"10142720\"]\n  33 -> 40 [size =\"10142720\"]\n  33 -> 41 [size =\"10142720\"]\n  33 -> 44 [size =\"10142720\"]\n  34 [size=\"120057173\", alpha=\"0.18\", expect_size=\"36017152\"] \n  35 [size=\"22667947\", alpha=\"0.02\", expect_size=\"6800384\"] \n  35 -> 45 [size =\"6800384\"]\n  36 [size=\"89794560\", alpha=\"0.05\", expect_size=\"26938368\"] \n  36 -> 45 [size =\"26938368\"]\n  37 [size=\"119012693\", alpha=\"0.15\", expect_size=\"35703808\"] \n  38 [size=\"118077440\", alpha=\"0.09\", expect_size=\"35423232\"] \n  38 -> 45 [size =\"35423232\"]\n  39 [size=\"96017067\", alpha=\"0.02\", expect_size=\"28805120\"] \n  40 [size=\"54118400\", alpha=\"0.04\", expect_size=\"16235520\"] \n  40 -> 45 [size =\"16235520\"]\n  41 [size=\"100307627\", alpha=\"0.09\", expect_size=\"30092288\"] \n  41 -> 45 [size =\"30092288\"]\n  42 [size=\"73994240\", alpha=\"0.02\", expect_size=\"22198272\"] \n  42 -> 45 [size =\"22198272\"]\n  43 [size=\"120736427\", alpha=\"0.09\", expect_size=\"36220928\"] \n  43 -> 45 [size =\"36220928\"]\n  44 [size=\"134430720\", alpha=\"0.07\", expect_size=\"40329216\"] \n  44 -> 45 [size =\"40329216\"]\n  45 [size=\"116176213\", alpha=\"0.09\", expect_size=\"34852864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62978048\", alpha=\"0.11\", expect_size=\"31489024\"] \n  1 -> 3 [size =\"31489024\"]\n  1 -> 4 [size =\"31489024\"]\n  1 -> 5 [size =\"31489024\"]\n  2 [size=\"69382144\", alpha=\"0.19\", expect_size=\"34691072\"] \n  2 -> 3 [size =\"34691072\"]\n  2 -> 4 [size =\"34691072\"]\n  2 -> 5 [size =\"34691072\"]\n  3 [size=\"26068992\", alpha=\"0.01\", expect_size=\"13034496\"] \n  3 -> 6 [size =\"13034496\"]\n  3 -> 7 [size =\"13034496\"]\n  4 [size=\"79652864\", alpha=\"0.04\", expect_size=\"39826432\"] \n  4 -> 6 [size =\"39826432\"]\n  5 [size=\"59021312\", alpha=\"0.12\", expect_size=\"29510656\"] \n  5 -> 6 [size =\"29510656\"]\n  6 [size=\"17119232\", alpha=\"0.01\", expect_size=\"8559616\"] \n  6 -> 8 [size =\"8559616\"]\n  6 -> 9 [size =\"8559616\"]\n  7 [size=\"37570560\", alpha=\"0.15\", expect_size=\"18785280\"] \n  7 -> 8 [size =\"18785280\"]\n  7 -> 9 [size =\"18785280\"]\n  8 [size=\"20049920\", alpha=\"0.06\", expect_size=\"10024960\"] \n  8 -> 10 [size =\"10024960\"]\n  8 -> 11 [size =\"10024960\"]\n  9 [size=\"83863552\", alpha=\"0.06\", expect_size=\"41931776\"] \n  9 -> 11 [size =\"41931776\"]\n  10 [size=\"98168832\", alpha=\"0.13\", expect_size=\"49084416\"] \n  10 -> 12 [size =\"49084416\"]\n  10 -> 13 [size =\"49084416\"]\n  10 -> 14 [size =\"49084416\"]\n  11 [size=\"59303936\", alpha=\"0.20\", expect_size=\"29651968\"] \n  11 -> 12 [size =\"29651968\"]\n  11 -> 13 [size =\"29651968\"]\n  11 -> 14 [size =\"29651968\"]\n  12 [size=\"16869376\", alpha=\"0.03\", expect_size=\"8434688\"] \n  12 -> 15 [size =\"8434688\"]\n  12 -> 16 [size =\"8434688\"]\n  12 -> 17 [size =\"8434688\"]\n  13 [size=\"14139392\", alpha=\"0.08\", expect_size=\"7069696\"] \n  13 -> 15 [size =\"7069696\"]\n  13 -> 16 [size =\"7069696\"]\n  14 [size=\"17453056\", alpha=\"0.12\", expect_size=\"8726528\"] \n  14 -> 15 [size =\"8726528\"]\n  14 -> 16 [size =\"8726528\"]\n  14 -> 17 [size =\"8726528\"]\n  15 [size=\"37828608\", alpha=\"0.16\", expect_size=\"18914304\"] \n  15 -> 18 [size =\"18914304\"]\n  15 -> 19 [size =\"18914304\"]\n  15 -> 20 [size =\"18914304\"]\n  16 [size=\"95848448\", alpha=\"0.08\", expect_size=\"47924224\"] \n  16 -> 18 [size =\"47924224\"]\n  16 -> 19 [size =\"47924224\"]\n  16 -> 20 [size =\"47924224\"]\n  17 [size=\"100831232\", alpha=\"0.10\", expect_size=\"50415616\"] \n  17 -> 18 [size =\"50415616\"]\n  17 -> 19 [size =\"50415616\"]\n  17 -> 20 [size =\"50415616\"]\n  18 [size=\"75085824\", alpha=\"0.03\", expect_size=\"37542912\"] \n  18 -> 22 [size =\"37542912\"]\n  18 -> 23 [size =\"37542912\"]\n  19 [size=\"103739392\", alpha=\"0.08\", expect_size=\"51869696\"] \n  19 -> 22 [size =\"51869696\"]\n  19 -> 23 [size =\"51869696\"]\n  20 [size=\"37337088\", alpha=\"0.04\", expect_size=\"18668544\"] \n  20 -> 21 [size =\"18668544\"]\n  20 -> 22 [size =\"18668544\"]\n  20 -> 23 [size =\"18668544\"]\n  21 [size=\"99876864\", alpha=\"0.12\", expect_size=\"49938432\"] \n  21 -> 24 [size =\"49938432\"]\n  21 -> 25 [size =\"49938432\"]\n  22 [size=\"98433024\", alpha=\"0.12\", expect_size=\"49216512\"] \n  22 -> 25 [size =\"49216512\"]\n  22 -> 26 [size =\"49216512\"]\n  23 [size=\"16644096\", alpha=\"0.15\", expect_size=\"8322048\"] \n  23 -> 26 [size =\"8322048\"]\n  24 [size=\"56432640\", alpha=\"0.13\", expect_size=\"28216320\"] \n  24 -> 27 [size =\"28216320\"]\n  24 -> 29 [size =\"28216320\"]\n  25 [size=\"19109888\", alpha=\"0.02\", expect_size=\"9554944\"] \n  25 -> 27 [size =\"9554944\"]\n  25 -> 29 [size =\"9554944\"]\n  26 [size=\"94566400\", alpha=\"0.11\", expect_size=\"47283200\"] \n  26 -> 27 [size =\"47283200\"]\n  26 -> 28 [size =\"47283200\"]\n  26 -> 29 [size =\"47283200\"]\n  27 [size=\"38746112\", alpha=\"0.07\", expect_size=\"19373056\"] \n  27 -> 30 [size =\"19373056\"]\n  27 -> 32 [size =\"19373056\"]\n  28 [size=\"87615488\", alpha=\"0.04\", expect_size=\"43807744\"] \n  28 -> 30 [size =\"43807744\"]\n  28 -> 31 [size =\"43807744\"]\n  29 [size=\"101902336\", alpha=\"0.18\", expect_size=\"50951168\"] \n  29 -> 30 [size =\"50951168\"]\n  30 [size=\"43458560\", alpha=\"0.09\", expect_size=\"21729280\"] \n  30 -> 34 [size =\"21729280\"]\n  31 [size=\"62873600\", alpha=\"0.11\", expect_size=\"31436800\"] \n  31 -> 34 [size =\"31436800\"]\n  31 -> 35 [size =\"31436800\"]\n  32 [size=\"23900160\", alpha=\"0.15\", expect_size=\"11950080\"] \n  32 -> 33 [size =\"11950080\"]\n  32 -> 34 [size =\"11950080\"]\n  32 -> 35 [size =\"11950080\"]\n  33 [size=\"79806464\", alpha=\"0.19\", expect_size=\"39903232\"] \n  34 [size=\"57434112\", alpha=\"0.04\", expect_size=\"28717056\"] \n  34 -> 36 [size =\"28717056\"]\n  35 [size=\"25950208\", alpha=\"0.16\", expect_size=\"12975104\"] \n  35 -> 36 [size =\"12975104\"]\n  35 -> 37 [size =\"12975104\"]\n  36 [size=\"33892352\", alpha=\"0.05\", expect_size=\"16946176\"] \n  36 -> 38 [size =\"16946176\"]\n  36 -> 39 [size =\"16946176\"]\n  36 -> 40 [size =\"16946176\"]\n  37 [size=\"87896064\", alpha=\"0.14\", expect_size=\"43948032\"] \n  37 -> 38 [size =\"43948032\"]\n  37 -> 39 [size =\"43948032\"]\n  37 -> 40 [size =\"43948032\"]\n  38 [size=\"26302464\", alpha=\"0.16\", expect_size=\"13151232\"] \n  38 -> 42 [size =\"13151232\"]\n  39 [size=\"47419392\", alpha=\"0.18\", expect_size=\"23709696\"] \n  39 -> 42 [size =\"23709696\"]\n  40 [size=\"35885056\", alpha=\"0.06\", expect_size=\"17942528\"] \n  40 -> 41 [size =\"17942528\"]\n  40 -> 42 [size =\"17942528\"]\n  41 [size=\"79380480\", alpha=\"0.13\", expect_size=\"39690240\"] \n  41 -> 43 [size =\"39690240\"]\n  41 -> 44 [size =\"39690240\"]\n  41 -> 45 [size =\"39690240\"]\n  42 [size=\"37980160\", alpha=\"0.18\", expect_size=\"18990080\"] \n  42 -> 43 [size =\"18990080\"]\n  42 -> 44 [size =\"18990080\"]\n  43 [size=\"12443648\", alpha=\"0.05\", expect_size=\"6221824\"] \n  44 [size=\"100796416\", alpha=\"0.01\", expect_size=\"50398208\"] \n  45 [size=\"26890240\", alpha=\"0.20\", expect_size=\"13445120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81533440\", alpha=\"0.17\", expect_size=\"32613376\"] \n  1 -> 3 [size =\"32613376\"]\n  1 -> 4 [size =\"32613376\"]\n  2 [size=\"44172800\", alpha=\"0.17\", expect_size=\"17669120\"] \n  2 -> 3 [size =\"17669120\"]\n  2 -> 4 [size =\"17669120\"]\n  2 -> 5 [size =\"17669120\"]\n  3 [size=\"60413440\", alpha=\"0.10\", expect_size=\"24165376\"] \n  3 -> 6 [size =\"24165376\"]\n  3 -> 7 [size =\"24165376\"]\n  3 -> 8 [size =\"24165376\"]\n  4 [size=\"89210880\", alpha=\"0.18\", expect_size=\"35684352\"] \n  5 [size=\"28866560\", alpha=\"0.00\", expect_size=\"11546624\"] \n  6 [size=\"14819840\", alpha=\"0.02\", expect_size=\"5927936\"] \n  6 -> 9 [size =\"5927936\"]\n  7 [size=\"83645440\", alpha=\"0.10\", expect_size=\"33458176\"] \n  7 -> 9 [size =\"33458176\"]\n  8 [size=\"13212160\", alpha=\"0.05\", expect_size=\"5284864\"] \n  8 -> 10 [size =\"5284864\"]\n  9 [size=\"95022080\", alpha=\"0.00\", expect_size=\"38008832\"] \n  9 -> 11 [size =\"38008832\"]\n  9 -> 12 [size =\"38008832\"]\n  9 -> 13 [size =\"38008832\"]\n  10 [size=\"124912640\", alpha=\"0.16\", expect_size=\"49965056\"] \n  10 -> 11 [size =\"49965056\"]\n  10 -> 12 [size =\"49965056\"]\n  10 -> 13 [size =\"49965056\"]\n  11 [size=\"118950400\", alpha=\"0.00\", expect_size=\"47580160\"] \n  11 -> 15 [size =\"47580160\"]\n  12 [size=\"103838720\", alpha=\"0.05\", expect_size=\"41535488\"] \n  12 -> 14 [size =\"41535488\"]\n  13 [size=\"89013760\", alpha=\"0.00\", expect_size=\"35605504\"] \n  13 -> 14 [size =\"35605504\"]\n  13 -> 15 [size =\"35605504\"]\n  14 [size=\"28979200\", alpha=\"0.12\", expect_size=\"11591680\"] \n  14 -> 16 [size =\"11591680\"]\n  14 -> 17 [size =\"11591680\"]\n  15 [size=\"16931840\", alpha=\"0.10\", expect_size=\"6772736\"] \n  15 -> 16 [size =\"6772736\"]\n  15 -> 17 [size =\"6772736\"]\n  16 [size=\"18457600\", alpha=\"0.19\", expect_size=\"7383040\"] \n  16 -> 18 [size =\"7383040\"]\n  16 -> 19 [size =\"7383040\"]\n  17 [size=\"29117440\", alpha=\"0.16\", expect_size=\"11646976\"] \n  17 -> 18 [size =\"11646976\"]\n  17 -> 19 [size =\"11646976\"]\n  18 [size=\"86417920\", alpha=\"0.06\", expect_size=\"34567168\"] \n  18 -> 20 [size =\"34567168\"]\n  18 -> 21 [size =\"34567168\"]\n  18 -> 22 [size =\"34567168\"]\n  19 [size=\"113571840\", alpha=\"0.15\", expect_size=\"45428736\"] \n  19 -> 20 [size =\"45428736\"]\n  19 -> 21 [size =\"45428736\"]\n  20 [size=\"116375040\", alpha=\"0.15\", expect_size=\"46550016\"] \n  20 -> 23 [size =\"46550016\"]\n  20 -> 24 [size =\"46550016\"]\n  21 [size=\"93616640\", alpha=\"0.06\", expect_size=\"37446656\"] \n  21 -> 23 [size =\"37446656\"]\n  21 -> 25 [size =\"37446656\"]\n  22 [size=\"95104000\", alpha=\"0.03\", expect_size=\"38041600\"] \n  23 [size=\"126492160\", alpha=\"0.08\", expect_size=\"50596864\"] \n  23 -> 26 [size =\"50596864\"]\n  23 -> 27 [size =\"50596864\"]\n  23 -> 28 [size =\"50596864\"]\n  24 [size=\"127539200\", alpha=\"0.06\", expect_size=\"51015680\"] \n  25 [size=\"77624320\", alpha=\"0.06\", expect_size=\"31049728\"] \n  25 -> 27 [size =\"31049728\"]\n  25 -> 28 [size =\"31049728\"]\n  26 [size=\"18222080\", alpha=\"0.07\", expect_size=\"7288832\"] \n  26 -> 30 [size =\"7288832\"]\n  27 [size=\"128312320\", alpha=\"0.20\", expect_size=\"51324928\"] \n  27 -> 29 [size =\"51324928\"]\n  27 -> 30 [size =\"51324928\"]\n  28 [size=\"105861120\", alpha=\"0.13\", expect_size=\"42344448\"] \n  28 -> 29 [size =\"42344448\"]\n  28 -> 31 [size =\"42344448\"]\n  29 [size=\"25461760\", alpha=\"0.19\", expect_size=\"10184704\"] \n  29 -> 32 [size =\"10184704\"]\n  30 [size=\"113149440\", alpha=\"0.05\", expect_size=\"45259776\"] \n  31 [size=\"82854400\", alpha=\"0.08\", expect_size=\"33141760\"] \n  31 -> 33 [size =\"33141760\"]\n  31 -> 34 [size =\"33141760\"]\n  32 [size=\"120967680\", alpha=\"0.07\", expect_size=\"48387072\"] \n  32 -> 35 [size =\"48387072\"]\n  32 -> 36 [size =\"48387072\"]\n  33 [size=\"22630400\", alpha=\"0.19\", expect_size=\"9052160\"] \n  33 -> 35 [size =\"9052160\"]\n  34 [size=\"71075840\", alpha=\"0.13\", expect_size=\"28430336\"] \n  34 -> 35 [size =\"28430336\"]\n  35 [size=\"106480640\", alpha=\"0.09\", expect_size=\"42592256\"] \n  35 -> 37 [size =\"42592256\"]\n  35 -> 38 [size =\"42592256\"]\n  35 -> 39 [size =\"42592256\"]\n  36 [size=\"26639360\", alpha=\"0.05\", expect_size=\"10655744\"] \n  36 -> 38 [size =\"10655744\"]\n  37 [size=\"69199360\", alpha=\"0.03\", expect_size=\"27679744\"] \n  37 -> 40 [size =\"27679744\"]\n  37 -> 41 [size =\"27679744\"]\n  37 -> 42 [size =\"27679744\"]\n  38 [size=\"68766720\", alpha=\"0.15\", expect_size=\"27506688\"] \n  38 -> 41 [size =\"27506688\"]\n  39 [size=\"25448960\", alpha=\"0.03\", expect_size=\"10179584\"] \n  39 -> 40 [size =\"10179584\"]\n  39 -> 42 [size =\"10179584\"]\n  40 [size=\"21163520\", alpha=\"0.08\", expect_size=\"8465408\"] \n  40 -> 43 [size =\"8465408\"]\n  41 [size=\"49748480\", alpha=\"0.08\", expect_size=\"19899392\"] \n  41 -> 43 [size =\"19899392\"]\n  41 -> 44 [size =\"19899392\"]\n  41 -> 45 [size =\"19899392\"]\n  42 [size=\"99084800\", alpha=\"0.01\", expect_size=\"39633920\"] \n  43 [size=\"23976960\", alpha=\"0.14\", expect_size=\"9590784\"] \n  44 [size=\"18296320\", alpha=\"0.05\", expect_size=\"7318528\"] \n  45 [size=\"97917440\", alpha=\"0.08\", expect_size=\"39166976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75429888\", alpha=\"0.07\", expect_size=\"37714944\"] \n  1 -> 3 [size =\"37714944\"]\n  1 -> 5 [size =\"37714944\"]\n  2 [size=\"83263488\", alpha=\"0.04\", expect_size=\"41631744\"] \n  2 -> 3 [size =\"41631744\"]\n  2 -> 4 [size =\"41631744\"]\n  3 [size=\"51947520\", alpha=\"0.19\", expect_size=\"25973760\"] \n  3 -> 6 [size =\"25973760\"]\n  3 -> 7 [size =\"25973760\"]\n  4 [size=\"17174528\", alpha=\"0.03\", expect_size=\"8587264\"] \n  4 -> 6 [size =\"8587264\"]\n  5 [size=\"48297984\", alpha=\"0.05\", expect_size=\"24148992\"] \n  5 -> 7 [size =\"24148992\"]\n  6 [size=\"21444608\", alpha=\"0.13\", expect_size=\"10722304\"] \n  6 -> 9 [size =\"10722304\"]\n  6 -> 10 [size =\"10722304\"]\n  7 [size=\"79484928\", alpha=\"0.18\", expect_size=\"39742464\"] \n  7 -> 8 [size =\"39742464\"]\n  7 -> 9 [size =\"39742464\"]\n  7 -> 10 [size =\"39742464\"]\n  8 [size=\"71104512\", alpha=\"0.03\", expect_size=\"35552256\"] \n  8 -> 11 [size =\"35552256\"]\n  8 -> 12 [size =\"35552256\"]\n  8 -> 13 [size =\"35552256\"]\n  9 [size=\"79919104\", alpha=\"0.04\", expect_size=\"39959552\"] \n  9 -> 12 [size =\"39959552\"]\n  9 -> 13 [size =\"39959552\"]\n  9 -> 13 [size =\"39959552\"]\n  10 [size=\"51570688\", alpha=\"0.06\", expect_size=\"25785344\"] \n  10 -> 12 [size =\"25785344\"]\n  11 [size=\"12777472\", alpha=\"0.14\", expect_size=\"6388736\"] \n  12 [size=\"46635008\", alpha=\"0.17\", expect_size=\"23317504\"] \n  12 -> 15 [size =\"23317504\"]\n  13 [size=\"65392640\", alpha=\"0.18\", expect_size=\"32696320\"] \n  13 -> 14 [size =\"32696320\"]\n  14 [size=\"61202432\", alpha=\"0.03\", expect_size=\"30601216\"] \n  14 -> 16 [size =\"30601216\"]\n  14 -> 17 [size =\"30601216\"]\n  14 -> 18 [size =\"30601216\"]\n  15 [size=\"75175936\", alpha=\"0.02\", expect_size=\"37587968\"] \n  15 -> 16 [size =\"37587968\"]\n  15 -> 18 [size =\"37587968\"]\n  16 [size=\"100677632\", alpha=\"0.00\", expect_size=\"50338816\"] \n  16 -> 20 [size =\"50338816\"]\n  17 [size=\"67747840\", alpha=\"0.18\", expect_size=\"33873920\"] \n  17 -> 19 [size =\"33873920\"]\n  17 -> 20 [size =\"33873920\"]\n  17 -> 21 [size =\"33873920\"]\n  18 [size=\"57716736\", alpha=\"0.01\", expect_size=\"28858368\"] \n  18 -> 19 [size =\"28858368\"]\n  18 -> 20 [size =\"28858368\"]\n  18 -> 21 [size =\"28858368\"]\n  19 [size=\"70242304\", alpha=\"0.20\", expect_size=\"35121152\"] \n  19 -> 22 [size =\"35121152\"]\n  19 -> 23 [size =\"35121152\"]\n  20 [size=\"88129536\", alpha=\"0.05\", expect_size=\"44064768\"] \n  20 -> 22 [size =\"44064768\"]\n  20 -> 23 [size =\"44064768\"]\n  21 [size=\"21716992\", alpha=\"0.04\", expect_size=\"10858496\"] \n  21 -> 22 [size =\"10858496\"]\n  22 [size=\"87937024\", alpha=\"0.18\", expect_size=\"43968512\"] \n  22 -> 24 [size =\"43968512\"]\n  22 -> 25 [size =\"43968512\"]\n  22 -> 26 [size =\"43968512\"]\n  23 [size=\"72964096\", alpha=\"0.02\", expect_size=\"36482048\"] \n  23 -> 24 [size =\"36482048\"]\n  23 -> 26 [size =\"36482048\"]\n  24 [size=\"63623168\", alpha=\"0.06\", expect_size=\"31811584\"] \n  24 -> 27 [size =\"31811584\"]\n  24 -> 28 [size =\"31811584\"]\n  25 [size=\"78309376\", alpha=\"0.19\", expect_size=\"39154688\"] \n  25 -> 27 [size =\"39154688\"]\n  25 -> 28 [size =\"39154688\"]\n  26 [size=\"89169920\", alpha=\"0.14\", expect_size=\"44584960\"] \n  26 -> 27 [size =\"44584960\"]\n  27 [size=\"91367424\", alpha=\"0.04\", expect_size=\"45683712\"] \n  27 -> 29 [size =\"45683712\"]\n  27 -> 30 [size =\"45683712\"]\n  28 [size=\"83912704\", alpha=\"0.06\", expect_size=\"41956352\"] \n  28 -> 29 [size =\"41956352\"]\n  28 -> 30 [size =\"41956352\"]\n  29 [size=\"86460416\", alpha=\"0.03\", expect_size=\"43230208\"] \n  29 -> 31 [size =\"43230208\"]\n  30 [size=\"85018624\", alpha=\"0.09\", expect_size=\"42509312\"] \n  30 -> 31 [size =\"42509312\"]\n  30 -> 32 [size =\"42509312\"]\n  31 [size=\"14141440\", alpha=\"0.16\", expect_size=\"7070720\"] \n  31 -> 33 [size =\"7070720\"]\n  31 -> 34 [size =\"7070720\"]\n  31 -> 35 [size =\"7070720\"]\n  32 [size=\"33142784\", alpha=\"0.10\", expect_size=\"16571392\"] \n  32 -> 33 [size =\"16571392\"]\n  32 -> 34 [size =\"16571392\"]\n  32 -> 35 [size =\"16571392\"]\n  33 [size=\"26060800\", alpha=\"0.15\", expect_size=\"13030400\"] \n  33 -> 37 [size =\"13030400\"]\n  34 [size=\"34357248\", alpha=\"0.12\", expect_size=\"17178624\"] \n  34 -> 36 [size =\"17178624\"]\n  34 -> 37 [size =\"17178624\"]\n  35 [size=\"64722944\", alpha=\"0.02\", expect_size=\"32361472\"] \n  35 -> 36 [size =\"32361472\"]\n  35 -> 37 [size =\"32361472\"]\n  36 [size=\"60598272\", alpha=\"0.11\", expect_size=\"30299136\"] \n  36 -> 38 [size =\"30299136\"]\n  36 -> 39 [size =\"30299136\"]\n  36 -> 40 [size =\"30299136\"]\n  37 [size=\"32942080\", alpha=\"0.13\", expect_size=\"16471040\"] \n  37 -> 38 [size =\"16471040\"]\n  37 -> 39 [size =\"16471040\"]\n  38 [size=\"50755584\", alpha=\"0.04\", expect_size=\"25377792\"] \n  38 -> 41 [size =\"25377792\"]\n  38 -> 42 [size =\"25377792\"]\n  39 [size=\"80287744\", alpha=\"0.08\", expect_size=\"40143872\"] \n  39 -> 41 [size =\"40143872\"]\n  39 -> 42 [size =\"40143872\"]\n  40 [size=\"96600064\", alpha=\"0.09\", expect_size=\"48300032\"] \n  40 -> 41 [size =\"48300032\"]\n  40 -> 42 [size =\"48300032\"]\n  41 [size=\"46403584\", alpha=\"0.12\", expect_size=\"23201792\"] \n  41 -> 43 [size =\"23201792\"]\n  41 -> 44 [size =\"23201792\"]\n  42 [size=\"26368000\", alpha=\"0.11\", expect_size=\"13184000\"] \n  42 -> 43 [size =\"13184000\"]\n  42 -> 44 [size =\"13184000\"]\n  43 [size=\"72638464\", alpha=\"0.04\", expect_size=\"36319232\"] \n  43 -> 45 [size =\"36319232\"]\n  44 [size=\"51380224\", alpha=\"0.07\", expect_size=\"25690112\"] \n  44 -> 45 [size =\"25690112\"]\n  45 [size=\"13314048\", alpha=\"0.06\", expect_size=\"6657024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40463360\", alpha=\"0.16\", expect_size=\"16185344\"] \n  1 -> 33 [size =\"16185344\"]\n  1 -> 36 [size =\"16185344\"]\n  1 -> 37 [size =\"16185344\"]\n  1 -> 42 [size =\"16185344\"]\n  2 [size=\"110773760\", alpha=\"0.02\", expect_size=\"44309504\"] \n  2 -> 32 [size =\"44309504\"]\n  2 -> 36 [size =\"44309504\"]\n  2 -> 42 [size =\"44309504\"]\n  2 -> 44 [size =\"44309504\"]\n  3 [size=\"114585600\", alpha=\"0.05\", expect_size=\"45834240\"] \n  3 -> 33 [size =\"45834240\"]\n  3 -> 35 [size =\"45834240\"]\n  3 -> 36 [size =\"45834240\"]\n  3 -> 44 [size =\"45834240\"]\n  4 [size=\"21468160\", alpha=\"0.09\", expect_size=\"8587264\"] \n  4 -> 31 [size =\"8587264\"]\n  4 -> 33 [size =\"8587264\"]\n  4 -> 34 [size =\"8587264\"]\n  4 -> 37 [size =\"8587264\"]\n  4 -> 41 [size =\"8587264\"]\n  4 -> 43 [size =\"8587264\"]\n  5 [size=\"77967360\", alpha=\"0.04\", expect_size=\"31186944\"] \n  5 -> 31 [size =\"31186944\"]\n  5 -> 33 [size =\"31186944\"]\n  5 -> 35 [size =\"31186944\"]\n  5 -> 37 [size =\"31186944\"]\n  5 -> 39 [size =\"31186944\"]\n  5 -> 40 [size =\"31186944\"]\n  5 -> 41 [size =\"31186944\"]\n  6 [size=\"89446400\", alpha=\"0.11\", expect_size=\"35778560\"] \n  6 -> 32 [size =\"35778560\"]\n  6 -> 33 [size =\"35778560\"]\n  6 -> 34 [size =\"35778560\"]\n  6 -> 35 [size =\"35778560\"]\n  6 -> 37 [size =\"35778560\"]\n  6 -> 44 [size =\"35778560\"]\n  7 [size=\"20720640\", alpha=\"0.14\", expect_size=\"8288256\"] \n  7 -> 32 [size =\"8288256\"]\n  7 -> 33 [size =\"8288256\"]\n  7 -> 41 [size =\"8288256\"]\n  7 -> 42 [size =\"8288256\"]\n  7 -> 44 [size =\"8288256\"]\n  8 [size=\"60206080\", alpha=\"0.18\", expect_size=\"24082432\"] \n  8 -> 31 [size =\"24082432\"]\n  8 -> 33 [size =\"24082432\"]\n  9 [size=\"13130240\", alpha=\"0.06\", expect_size=\"5252096\"] \n  9 -> 33 [size =\"5252096\"]\n  9 -> 34 [size =\"5252096\"]\n  9 -> 36 [size =\"5252096\"]\n  9 -> 42 [size =\"5252096\"]\n  10 [size=\"61176320\", alpha=\"0.17\", expect_size=\"24470528\"] \n  10 -> 32 [size =\"24470528\"]\n  10 -> 34 [size =\"24470528\"]\n  10 -> 35 [size =\"24470528\"]\n  10 -> 37 [size =\"24470528\"]\n  10 -> 38 [size =\"24470528\"]\n  10 -> 39 [size =\"24470528\"]\n  10 -> 42 [size =\"24470528\"]\n  10 -> 44 [size =\"24470528\"]\n  11 [size=\"65436160\", alpha=\"0.14\", expect_size=\"26174464\"] \n  11 -> 31 [size =\"26174464\"]\n  11 -> 32 [size =\"26174464\"]\n  11 -> 34 [size =\"26174464\"]\n  11 -> 35 [size =\"26174464\"]\n  11 -> 36 [size =\"26174464\"]\n  11 -> 38 [size =\"26174464\"]\n  11 -> 42 [size =\"26174464\"]\n  12 [size=\"44531200\", alpha=\"0.11\", expect_size=\"17812480\"] \n  12 -> 31 [size =\"17812480\"]\n  12 -> 34 [size =\"17812480\"]\n  12 -> 34 [size =\"17812480\"]\n  12 -> 35 [size =\"17812480\"]\n  12 -> 42 [size =\"17812480\"]\n  12 -> 43 [size =\"17812480\"]\n  13 [size=\"54760960\", alpha=\"0.02\", expect_size=\"21904384\"] \n  13 -> 31 [size =\"21904384\"]\n  13 -> 34 [size =\"21904384\"]\n  13 -> 38 [size =\"21904384\"]\n  13 -> 39 [size =\"21904384\"]\n  13 -> 42 [size =\"21904384\"]\n  14 [size=\"82549760\", alpha=\"0.10\", expect_size=\"33019904\"] \n  14 -> 32 [size =\"33019904\"]\n  14 -> 35 [size =\"33019904\"]\n  14 -> 38 [size =\"33019904\"]\n  14 -> 39 [size =\"33019904\"]\n  15 [size=\"19473920\", alpha=\"0.03\", expect_size=\"7789568\"] \n  15 -> 32 [size =\"7789568\"]\n  15 -> 35 [size =\"7789568\"]\n  15 -> 37 [size =\"7789568\"]\n  15 -> 38 [size =\"7789568\"]\n  15 -> 44 [size =\"7789568\"]\n  16 [size=\"40878080\", alpha=\"0.13\", expect_size=\"16351232\"] \n  16 -> 34 [size =\"16351232\"]\n  16 -> 39 [size =\"16351232\"]\n  16 -> 41 [size =\"16351232\"]\n  16 -> 42 [size =\"16351232\"]\n  17 [size=\"102896640\", alpha=\"0.02\", expect_size=\"41158656\"] \n  17 -> 34 [size =\"41158656\"]\n  17 -> 37 [size =\"41158656\"]\n  17 -> 39 [size =\"41158656\"]\n  17 -> 40 [size =\"41158656\"]\n  18 [size=\"66703360\", alpha=\"0.16\", expect_size=\"26681344\"] \n  18 -> 31 [size =\"26681344\"]\n  18 -> 32 [size =\"26681344\"]\n  18 -> 34 [size =\"26681344\"]\n  18 -> 37 [size =\"26681344\"]\n  18 -> 40 [size =\"26681344\"]\n  18 -> 41 [size =\"26681344\"]\n  18 -> 42 [size =\"26681344\"]\n  18 -> 44 [size =\"26681344\"]\n  19 [size=\"56939520\", alpha=\"0.03\", expect_size=\"22775808\"] \n  19 -> 32 [size =\"22775808\"]\n  19 -> 42 [size =\"22775808\"]\n  19 -> 44 [size =\"22775808\"]\n  20 [size=\"89802240\", alpha=\"0.01\", expect_size=\"35920896\"] \n  20 -> 31 [size =\"35920896\"]\n  20 -> 34 [size =\"35920896\"]\n  20 -> 36 [size =\"35920896\"]\n  20 -> 38 [size =\"35920896\"]\n  20 -> 42 [size =\"35920896\"]\n  20 -> 44 [size =\"35920896\"]\n  21 [size=\"69632000\", alpha=\"0.04\", expect_size=\"27852800\"] \n  21 -> 31 [size =\"27852800\"]\n  21 -> 37 [size =\"27852800\"]\n  21 -> 38 [size =\"27852800\"]\n  21 -> 41 [size =\"27852800\"]\n  21 -> 42 [size =\"27852800\"]\n  21 -> 44 [size =\"27852800\"]\n  22 [size=\"32977920\", alpha=\"0.03\", expect_size=\"13191168\"] \n  22 -> 31 [size =\"13191168\"]\n  22 -> 32 [size =\"13191168\"]\n  22 -> 34 [size =\"13191168\"]\n  22 -> 36 [size =\"13191168\"]\n  22 -> 41 [size =\"13191168\"]\n  22 -> 42 [size =\"13191168\"]\n  23 [size=\"95708160\", alpha=\"0.20\", expect_size=\"38283264\"] \n  23 -> 31 [size =\"38283264\"]\n  23 -> 32 [size =\"38283264\"]\n  23 -> 33 [size =\"38283264\"]\n  23 -> 34 [size =\"38283264\"]\n  23 -> 36 [size =\"38283264\"]\n  23 -> 37 [size =\"38283264\"]\n  23 -> 43 [size =\"38283264\"]\n  23 -> 44 [size =\"38283264\"]\n  23 -> 45 [size =\"38283264\"]\n  24 [size=\"109703680\", alpha=\"0.17\", expect_size=\"43881472\"] \n  24 -> 31 [size =\"43881472\"]\n  24 -> 38 [size =\"43881472\"]\n  25 [size=\"53342720\", alpha=\"0.06\", expect_size=\"21337088\"] \n  25 -> 34 [size =\"21337088\"]\n  25 -> 35 [size =\"21337088\"]\n  25 -> 36 [size =\"21337088\"]\n  25 -> 38 [size =\"21337088\"]\n  25 -> 39 [size =\"21337088\"]\n  26 [size=\"71047680\", alpha=\"0.08\", expect_size=\"28419072\"] \n  26 -> 34 [size =\"28419072\"]\n  26 -> 36 [size =\"28419072\"]\n  26 -> 38 [size =\"28419072\"]\n  26 -> 38 [size =\"28419072\"]\n  26 -> 44 [size =\"28419072\"]\n  27 [size=\"28134400\", alpha=\"0.11\", expect_size=\"11253760\"] \n  27 -> 31 [size =\"11253760\"]\n  27 -> 33 [size =\"11253760\"]\n  27 -> 44 [size =\"11253760\"]\n  28 [size=\"41861120\", alpha=\"0.02\", expect_size=\"16744448\"] \n  28 -> 41 [size =\"16744448\"]\n  28 -> 42 [size =\"16744448\"]\n  29 [size=\"17064960\", alpha=\"0.13\", expect_size=\"6825984\"] \n  29 -> 31 [size =\"6825984\"]\n  29 -> 32 [size =\"6825984\"]\n  29 -> 36 [size =\"6825984\"]\n  29 -> 39 [size =\"6825984\"]\n  29 -> 41 [size =\"6825984\"]\n  29 -> 43 [size =\"6825984\"]\n  30 [size=\"35351040\", alpha=\"0.13\", expect_size=\"14140416\"] \n  30 -> 33 [size =\"14140416\"]\n  30 -> 34 [size =\"14140416\"]\n  30 -> 35 [size =\"14140416\"]\n  30 -> 36 [size =\"14140416\"]\n  31 [size=\"42129920\", alpha=\"0.01\", expect_size=\"16851968\"] \n  32 [size=\"64760320\", alpha=\"0.14\", expect_size=\"25904128\"] \n  33 [size=\"82944000\", alpha=\"0.15\", expect_size=\"33177600\"] \n  34 [size=\"80194560\", alpha=\"0.07\", expect_size=\"32077824\"] \n  35 [size=\"64880640\", alpha=\"0.00\", expect_size=\"25952256\"] \n  36 [size=\"101857280\", alpha=\"0.18\", expect_size=\"40742912\"] \n  37 [size=\"31534080\", alpha=\"0.12\", expect_size=\"12613632\"] \n  38 [size=\"97461760\", alpha=\"0.14\", expect_size=\"38984704\"] \n  39 [size=\"110807040\", alpha=\"0.04\", expect_size=\"44322816\"] \n  40 [size=\"71595520\", alpha=\"0.07\", expect_size=\"28638208\"] \n  41 [size=\"27893760\", alpha=\"0.19\", expect_size=\"11157504\"] \n  42 [size=\"32035840\", alpha=\"0.15\", expect_size=\"12814336\"] \n  43 [size=\"115443200\", alpha=\"0.05\", expect_size=\"46177280\"] \n  44 [size=\"83840000\", alpha=\"0.11\", expect_size=\"33536000\"] \n  45 [size=\"124641280\", alpha=\"0.04\", expect_size=\"49856512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52636160\", alpha=\"0.14\", expect_size=\"21054464\"] \n  1 -> 29 [size =\"21054464\"]\n  1 -> 30 [size =\"21054464\"]\n  1 -> 31 [size =\"21054464\"]\n  1 -> 35 [size =\"21054464\"]\n  1 -> 37 [size =\"21054464\"]\n  1 -> 40 [size =\"21054464\"]\n  1 -> 42 [size =\"21054464\"]\n  1 -> 44 [size =\"21054464\"]\n  1 -> 45 [size =\"21054464\"]\n  2 [size=\"44608000\", alpha=\"0.03\", expect_size=\"17843200\"] \n  2 -> 24 [size =\"17843200\"]\n  2 -> 25 [size =\"17843200\"]\n  2 -> 29 [size =\"17843200\"]\n  2 -> 31 [size =\"17843200\"]\n  2 -> 38 [size =\"17843200\"]\n  2 -> 41 [size =\"17843200\"]\n  2 -> 44 [size =\"17843200\"]\n  2 -> 44 [size =\"17843200\"]\n  2 -> 45 [size =\"17843200\"]\n  3 [size=\"68336640\", alpha=\"0.05\", expect_size=\"27334656\"] \n  3 -> 24 [size =\"27334656\"]\n  3 -> 26 [size =\"27334656\"]\n  3 -> 29 [size =\"27334656\"]\n  3 -> 34 [size =\"27334656\"]\n  3 -> 36 [size =\"27334656\"]\n  3 -> 37 [size =\"27334656\"]\n  3 -> 41 [size =\"27334656\"]\n  3 -> 45 [size =\"27334656\"]\n  4 [size=\"59238400\", alpha=\"0.11\", expect_size=\"23695360\"] \n  4 -> 23 [size =\"23695360\"]\n  4 -> 24 [size =\"23695360\"]\n  4 -> 26 [size =\"23695360\"]\n  4 -> 28 [size =\"23695360\"]\n  4 -> 29 [size =\"23695360\"]\n  4 -> 37 [size =\"23695360\"]\n  4 -> 40 [size =\"23695360\"]\n  5 [size=\"16499200\", alpha=\"0.11\", expect_size=\"6599680\"] \n  5 -> 25 [size =\"6599680\"]\n  5 -> 26 [size =\"6599680\"]\n  5 -> 28 [size =\"6599680\"]\n  5 -> 29 [size =\"6599680\"]\n  5 -> 31 [size =\"6599680\"]\n  5 -> 41 [size =\"6599680\"]\n  5 -> 44 [size =\"6599680\"]\n  6 [size=\"33236480\", alpha=\"0.07\", expect_size=\"13294592\"] \n  6 -> 23 [size =\"13294592\"]\n  6 -> 24 [size =\"13294592\"]\n  6 -> 25 [size =\"13294592\"]\n  6 -> 29 [size =\"13294592\"]\n  6 -> 30 [size =\"13294592\"]\n  6 -> 40 [size =\"13294592\"]\n  6 -> 41 [size =\"13294592\"]\n  6 -> 42 [size =\"13294592\"]\n  6 -> 44 [size =\"13294592\"]\n  7 [size=\"37099520\", alpha=\"0.02\", expect_size=\"14839808\"] \n  7 -> 23 [size =\"14839808\"]\n  7 -> 28 [size =\"14839808\"]\n  7 -> 29 [size =\"14839808\"]\n  7 -> 37 [size =\"14839808\"]\n  7 -> 38 [size =\"14839808\"]\n  7 -> 41 [size =\"14839808\"]\n  7 -> 41 [size =\"14839808\"]\n  7 -> 43 [size =\"14839808\"]\n  7 -> 45 [size =\"14839808\"]\n  8 [size=\"28989440\", alpha=\"0.17\", expect_size=\"11595776\"] \n  8 -> 25 [size =\"11595776\"]\n  8 -> 29 [size =\"11595776\"]\n  8 -> 29 [size =\"11595776\"]\n  8 -> 37 [size =\"11595776\"]\n  8 -> 41 [size =\"11595776\"]\n  8 -> 43 [size =\"11595776\"]\n  9 [size=\"120663040\", alpha=\"0.19\", expect_size=\"48265216\"] \n  9 -> 24 [size =\"48265216\"]\n  9 -> 27 [size =\"48265216\"]\n  9 -> 31 [size =\"48265216\"]\n  9 -> 37 [size =\"48265216\"]\n  9 -> 38 [size =\"48265216\"]\n  9 -> 40 [size =\"48265216\"]\n  9 -> 41 [size =\"48265216\"]\n  9 -> 42 [size =\"48265216\"]\n  10 [size=\"75151360\", alpha=\"0.05\", expect_size=\"30060544\"] \n  10 -> 26 [size =\"30060544\"]\n  10 -> 30 [size =\"30060544\"]\n  10 -> 31 [size =\"30060544\"]\n  10 -> 35 [size =\"30060544\"]\n  10 -> 37 [size =\"30060544\"]\n  10 -> 38 [size =\"30060544\"]\n  10 -> 41 [size =\"30060544\"]\n  10 -> 42 [size =\"30060544\"]\n  11 [size=\"117716480\", alpha=\"0.05\", expect_size=\"47086592\"] \n  11 -> 23 [size =\"47086592\"]\n  11 -> 26 [size =\"47086592\"]\n  11 -> 30 [size =\"47086592\"]\n  11 -> 31 [size =\"47086592\"]\n  11 -> 35 [size =\"47086592\"]\n  11 -> 37 [size =\"47086592\"]\n  11 -> 38 [size =\"47086592\"]\n  11 -> 42 [size =\"47086592\"]\n  11 -> 44 [size =\"47086592\"]\n  12 [size=\"81059840\", alpha=\"0.16\", expect_size=\"32423936\"] \n  12 -> 24 [size =\"32423936\"]\n  12 -> 26 [size =\"32423936\"]\n  12 -> 32 [size =\"32423936\"]\n  12 -> 37 [size =\"32423936\"]\n  12 -> 38 [size =\"32423936\"]\n  12 -> 39 [size =\"32423936\"]\n  12 -> 42 [size =\"32423936\"]\n  13 [size=\"101701120\", alpha=\"0.11\", expect_size=\"40680448\"] \n  13 -> 23 [size =\"40680448\"]\n  13 -> 25 [size =\"40680448\"]\n  13 -> 26 [size =\"40680448\"]\n  13 -> 27 [size =\"40680448\"]\n  13 -> 28 [size =\"40680448\"]\n  13 -> 29 [size =\"40680448\"]\n  13 -> 31 [size =\"40680448\"]\n  13 -> 35 [size =\"40680448\"]\n  13 -> 37 [size =\"40680448\"]\n  13 -> 38 [size =\"40680448\"]\n  13 -> 40 [size =\"40680448\"]\n  13 -> 44 [size =\"40680448\"]\n  14 [size=\"13524480\", alpha=\"0.05\", expect_size=\"5409792\"] \n  14 -> 24 [size =\"5409792\"]\n  14 -> 25 [size =\"5409792\"]\n  14 -> 27 [size =\"5409792\"]\n  14 -> 29 [size =\"5409792\"]\n  14 -> 31 [size =\"5409792\"]\n  14 -> 34 [size =\"5409792\"]\n  14 -> 37 [size =\"5409792\"]\n  14 -> 40 [size =\"5409792\"]\n  14 -> 44 [size =\"5409792\"]\n  15 [size=\"80360960\", alpha=\"0.06\", expect_size=\"32144384\"] \n  15 -> 24 [size =\"32144384\"]\n  15 -> 25 [size =\"32144384\"]\n  15 -> 26 [size =\"32144384\"]\n  15 -> 31 [size =\"32144384\"]\n  15 -> 31 [size =\"32144384\"]\n  15 -> 37 [size =\"32144384\"]\n  15 -> 37 [size =\"32144384\"]\n  15 -> 38 [size =\"32144384\"]\n  15 -> 40 [size =\"32144384\"]\n  15 -> 42 [size =\"32144384\"]\n  16 [size=\"26350080\", alpha=\"0.13\", expect_size=\"10540032\"] \n  16 -> 23 [size =\"10540032\"]\n  16 -> 25 [size =\"10540032\"]\n  16 -> 26 [size =\"10540032\"]\n  16 -> 28 [size =\"10540032\"]\n  16 -> 29 [size =\"10540032\"]\n  16 -> 31 [size =\"10540032\"]\n  16 -> 35 [size =\"10540032\"]\n  16 -> 38 [size =\"10540032\"]\n  16 -> 40 [size =\"10540032\"]\n  16 -> 41 [size =\"10540032\"]\n  17 [size=\"67235840\", alpha=\"0.15\", expect_size=\"26894336\"] \n  17 -> 25 [size =\"26894336\"]\n  17 -> 26 [size =\"26894336\"]\n  17 -> 28 [size =\"26894336\"]\n  17 -> 29 [size =\"26894336\"]\n  17 -> 30 [size =\"26894336\"]\n  17 -> 37 [size =\"26894336\"]\n  17 -> 38 [size =\"26894336\"]\n  17 -> 38 [size =\"26894336\"]\n  17 -> 40 [size =\"26894336\"]\n  17 -> 41 [size =\"26894336\"]\n  17 -> 45 [size =\"26894336\"]\n  18 [size=\"78515200\", alpha=\"0.17\", expect_size=\"31406080\"] \n  18 -> 24 [size =\"31406080\"]\n  18 -> 28 [size =\"31406080\"]\n  18 -> 29 [size =\"31406080\"]\n  18 -> 29 [size =\"31406080\"]\n  18 -> 34 [size =\"31406080\"]\n  18 -> 35 [size =\"31406080\"]\n  18 -> 37 [size =\"31406080\"]\n  18 -> 38 [size =\"31406080\"]\n  18 -> 40 [size =\"31406080\"]\n  18 -> 41 [size =\"31406080\"]\n  18 -> 45 [size =\"31406080\"]\n  19 [size=\"63434240\", alpha=\"0.02\", expect_size=\"25373696\"] \n  19 -> 27 [size =\"25373696\"]\n  19 -> 28 [size =\"25373696\"]\n  19 -> 30 [size =\"25373696\"]\n  19 -> 31 [size =\"25373696\"]\n  19 -> 35 [size =\"25373696\"]\n  19 -> 37 [size =\"25373696\"]\n  19 -> 38 [size =\"25373696\"]\n  19 -> 42 [size =\"25373696\"]\n  19 -> 45 [size =\"25373696\"]\n  20 [size=\"58636800\", alpha=\"0.15\", expect_size=\"23454720\"] \n  20 -> 26 [size =\"23454720\"]\n  20 -> 29 [size =\"23454720\"]\n  20 -> 31 [size =\"23454720\"]\n  20 -> 37 [size =\"23454720\"]\n  20 -> 40 [size =\"23454720\"]\n  20 -> 42 [size =\"23454720\"]\n  20 -> 44 [size =\"23454720\"]\n  20 -> 45 [size =\"23454720\"]\n  21 [size=\"85265920\", alpha=\"0.14\", expect_size=\"34106368\"] \n  21 -> 23 [size =\"34106368\"]\n  21 -> 25 [size =\"34106368\"]\n  21 -> 26 [size =\"34106368\"]\n  21 -> 27 [size =\"34106368\"]\n  21 -> 28 [size =\"34106368\"]\n  21 -> 29 [size =\"34106368\"]\n  21 -> 30 [size =\"34106368\"]\n  21 -> 33 [size =\"34106368\"]\n  21 -> 37 [size =\"34106368\"]\n  21 -> 38 [size =\"34106368\"]\n  21 -> 40 [size =\"34106368\"]\n  21 -> 41 [size =\"34106368\"]\n  21 -> 42 [size =\"34106368\"]\n  21 -> 44 [size =\"34106368\"]\n  21 -> 45 [size =\"34106368\"]\n  22 [size=\"111828480\", alpha=\"0.19\", expect_size=\"44731392\"] \n  22 -> 24 [size =\"44731392\"]\n  22 -> 25 [size =\"44731392\"]\n  22 -> 29 [size =\"44731392\"]\n  22 -> 31 [size =\"44731392\"]\n  22 -> 34 [size =\"44731392\"]\n  22 -> 36 [size =\"44731392\"]\n  22 -> 37 [size =\"44731392\"]\n  22 -> 38 [size =\"44731392\"]\n  22 -> 41 [size =\"44731392\"]\n  22 -> 43 [size =\"44731392\"]\n  22 -> 44 [size =\"44731392\"]\n  22 -> 45 [size =\"44731392\"]\n  23 [size=\"86860800\", alpha=\"0.13\", expect_size=\"34744320\"] \n  24 [size=\"32939520\", alpha=\"0.14\", expect_size=\"13175808\"] \n  25 [size=\"62069760\", alpha=\"0.17\", expect_size=\"24827904\"] \n  26 [size=\"96440320\", alpha=\"0.03\", expect_size=\"38576128\"] \n  27 [size=\"56399360\", alpha=\"0.12\", expect_size=\"22559744\"] \n  28 [size=\"26314240\", alpha=\"0.05\", expect_size=\"10525696\"] \n  29 [size=\"129218560\", alpha=\"0.16\", expect_size=\"51687424\"] \n  30 [size=\"25635840\", alpha=\"0.17\", expect_size=\"10254336\"] \n  31 [size=\"113886720\", alpha=\"0.16\", expect_size=\"45554688\"] \n  32 [size=\"79605760\", alpha=\"0.06\", expect_size=\"31842304\"] \n  33 [size=\"72261120\", alpha=\"0.12\", expect_size=\"28904448\"] \n  34 [size=\"29120000\", alpha=\"0.17\", expect_size=\"11648000\"] \n  35 [size=\"114278400\", alpha=\"0.14\", expect_size=\"45711360\"] \n  36 [size=\"95203840\", alpha=\"0.14\", expect_size=\"38081536\"] \n  37 [size=\"109987840\", alpha=\"0.02\", expect_size=\"43995136\"] \n  38 [size=\"64665600\", alpha=\"0.02\", expect_size=\"25866240\"] \n  39 [size=\"93081600\", alpha=\"0.10\", expect_size=\"37232640\"] \n  40 [size=\"66864640\", alpha=\"0.05\", expect_size=\"26745856\"] \n  41 [size=\"48058880\", alpha=\"0.14\", expect_size=\"19223552\"] \n  42 [size=\"23311360\", alpha=\"0.18\", expect_size=\"9324544\"] \n  43 [size=\"60577280\", alpha=\"0.15\", expect_size=\"24230912\"] \n  44 [size=\"130488320\", alpha=\"0.16\", expect_size=\"52195328\"] \n  45 [size=\"115496960\", alpha=\"0.05\", expect_size=\"46198784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64268800\", alpha=\"0.11\", expect_size=\"25707520\"] \n  1 -> 33 [size =\"25707520\"]\n  1 -> 34 [size =\"25707520\"]\n  1 -> 43 [size =\"25707520\"]\n  1 -> 45 [size =\"25707520\"]\n  2 [size=\"95759360\", alpha=\"0.15\", expect_size=\"38303744\"] \n  2 -> 42 [size =\"38303744\"]\n  2 -> 43 [size =\"38303744\"]\n  2 -> 44 [size =\"38303744\"]\n  3 [size=\"21314560\", alpha=\"0.15\", expect_size=\"8525824\"] \n  3 -> 32 [size =\"8525824\"]\n  3 -> 37 [size =\"8525824\"]\n  3 -> 43 [size =\"8525824\"]\n  4 [size=\"96087040\", alpha=\"0.03\", expect_size=\"38434816\"] \n  4 -> 32 [size =\"38434816\"]\n  4 -> 33 [size =\"38434816\"]\n  4 -> 36 [size =\"38434816\"]\n  4 -> 38 [size =\"38434816\"]\n  4 -> 39 [size =\"38434816\"]\n  4 -> 41 [size =\"38434816\"]\n  4 -> 43 [size =\"38434816\"]\n  5 [size=\"71902720\", alpha=\"0.08\", expect_size=\"28761088\"] \n  5 -> 32 [size =\"28761088\"]\n  5 -> 33 [size =\"28761088\"]\n  5 -> 38 [size =\"28761088\"]\n  5 -> 39 [size =\"28761088\"]\n  5 -> 41 [size =\"28761088\"]\n  5 -> 43 [size =\"28761088\"]\n  5 -> 43 [size =\"28761088\"]\n  6 [size=\"93693440\", alpha=\"0.13\", expect_size=\"37477376\"] \n  6 -> 33 [size =\"37477376\"]\n  6 -> 33 [size =\"37477376\"]\n  6 -> 36 [size =\"37477376\"]\n  6 -> 38 [size =\"37477376\"]\n  6 -> 39 [size =\"37477376\"]\n  6 -> 40 [size =\"37477376\"]\n  6 -> 44 [size =\"37477376\"]\n  7 [size=\"110919680\", alpha=\"0.10\", expect_size=\"44367872\"] \n  7 -> 33 [size =\"44367872\"]\n  7 -> 34 [size =\"44367872\"]\n  7 -> 36 [size =\"44367872\"]\n  7 -> 37 [size =\"44367872\"]\n  7 -> 38 [size =\"44367872\"]\n  7 -> 40 [size =\"44367872\"]\n  7 -> 44 [size =\"44367872\"]\n  7 -> 45 [size =\"44367872\"]\n  8 [size=\"113917440\", alpha=\"0.16\", expect_size=\"45566976\"] \n  8 -> 32 [size =\"45566976\"]\n  8 -> 37 [size =\"45566976\"]\n  8 -> 38 [size =\"45566976\"]\n  8 -> 40 [size =\"45566976\"]\n  8 -> 44 [size =\"45566976\"]\n  9 [size=\"49098240\", alpha=\"0.02\", expect_size=\"19639296\"] \n  9 -> 32 [size =\"19639296\"]\n  9 -> 36 [size =\"19639296\"]\n  9 -> 37 [size =\"19639296\"]\n  9 -> 38 [size =\"19639296\"]\n  9 -> 40 [size =\"19639296\"]\n  9 -> 44 [size =\"19639296\"]\n  10 [size=\"27609600\", alpha=\"0.12\", expect_size=\"11043840\"] \n  10 -> 32 [size =\"11043840\"]\n  10 -> 33 [size =\"11043840\"]\n  10 -> 38 [size =\"11043840\"]\n  10 -> 40 [size =\"11043840\"]\n  10 -> 44 [size =\"11043840\"]\n  11 [size=\"49052160\", alpha=\"0.05\", expect_size=\"19620864\"] \n  11 -> 32 [size =\"19620864\"]\n  11 -> 33 [size =\"19620864\"]\n  11 -> 44 [size =\"19620864\"]\n  11 -> 45 [size =\"19620864\"]\n  12 [size=\"114086400\", alpha=\"0.10\", expect_size=\"45634560\"] \n  12 -> 30 [size =\"45634560\"]\n  12 -> 32 [size =\"45634560\"]\n  12 -> 38 [size =\"45634560\"]\n  12 -> 42 [size =\"45634560\"]\n  12 -> 43 [size =\"45634560\"]\n  12 -> 44 [size =\"45634560\"]\n  13 [size=\"85544960\", alpha=\"0.19\", expect_size=\"34217984\"] \n  13 -> 32 [size =\"34217984\"]\n  13 -> 32 [size =\"34217984\"]\n  13 -> 33 [size =\"34217984\"]\n  13 -> 37 [size =\"34217984\"]\n  13 -> 38 [size =\"34217984\"]\n  13 -> 39 [size =\"34217984\"]\n  13 -> 42 [size =\"34217984\"]\n  13 -> 44 [size =\"34217984\"]\n  13 -> 45 [size =\"34217984\"]\n  14 [size=\"57630720\", alpha=\"0.19\", expect_size=\"23052288\"] \n  14 -> 32 [size =\"23052288\"]\n  14 -> 33 [size =\"23052288\"]\n  14 -> 36 [size =\"23052288\"]\n  14 -> 38 [size =\"23052288\"]\n  14 -> 39 [size =\"23052288\"]\n  14 -> 40 [size =\"23052288\"]\n  14 -> 44 [size =\"23052288\"]\n  14 -> 44 [size =\"23052288\"]\n  14 -> 45 [size =\"23052288\"]\n  15 [size=\"76595200\", alpha=\"0.08\", expect_size=\"30638080\"] \n  15 -> 32 [size =\"30638080\"]\n  15 -> 35 [size =\"30638080\"]\n  15 -> 37 [size =\"30638080\"]\n  15 -> 38 [size =\"30638080\"]\n  15 -> 44 [size =\"30638080\"]\n  15 -> 45 [size =\"30638080\"]\n  16 [size=\"123128320\", alpha=\"0.13\", expect_size=\"49251328\"] \n  16 -> 32 [size =\"49251328\"]\n  16 -> 34 [size =\"49251328\"]\n  16 -> 38 [size =\"49251328\"]\n  16 -> 38 [size =\"49251328\"]\n  17 [size=\"82736640\", alpha=\"0.16\", expect_size=\"33094656\"] \n  17 -> 32 [size =\"33094656\"]\n  17 -> 34 [size =\"33094656\"]\n  17 -> 36 [size =\"33094656\"]\n  17 -> 38 [size =\"33094656\"]\n  18 [size=\"22149120\", alpha=\"0.07\", expect_size=\"8859648\"] \n  18 -> 36 [size =\"8859648\"]\n  18 -> 37 [size =\"8859648\"]\n  18 -> 38 [size =\"8859648\"]\n  18 -> 38 [size =\"8859648\"]\n  18 -> 45 [size =\"8859648\"]\n  19 [size=\"118090240\", alpha=\"0.20\", expect_size=\"47236096\"] \n  19 -> 33 [size =\"47236096\"]\n  19 -> 36 [size =\"47236096\"]\n  19 -> 40 [size =\"47236096\"]\n  19 -> 41 [size =\"47236096\"]\n  19 -> 45 [size =\"47236096\"]\n  20 [size=\"14725120\", alpha=\"0.16\", expect_size=\"5890048\"] \n  20 -> 36 [size =\"5890048\"]\n  20 -> 36 [size =\"5890048\"]\n  20 -> 38 [size =\"5890048\"]\n  20 -> 40 [size =\"5890048\"]\n  20 -> 43 [size =\"5890048\"]\n  20 -> 44 [size =\"5890048\"]\n  21 [size=\"85854720\", alpha=\"0.02\", expect_size=\"34341888\"] \n  21 -> 34 [size =\"34341888\"]\n  21 -> 36 [size =\"34341888\"]\n  21 -> 37 [size =\"34341888\"]\n  21 -> 38 [size =\"34341888\"]\n  21 -> 39 [size =\"34341888\"]\n  21 -> 40 [size =\"34341888\"]\n  21 -> 41 [size =\"34341888\"]\n  21 -> 42 [size =\"34341888\"]\n  22 [size=\"113907200\", alpha=\"0.01\", expect_size=\"45562880\"] \n  22 -> 32 [size =\"45562880\"]\n  22 -> 33 [size =\"45562880\"]\n  22 -> 36 [size =\"45562880\"]\n  22 -> 37 [size =\"45562880\"]\n  22 -> 38 [size =\"45562880\"]\n  22 -> 39 [size =\"45562880\"]\n  22 -> 41 [size =\"45562880\"]\n  22 -> 44 [size =\"45562880\"]\n  23 [size=\"56942080\", alpha=\"0.01\", expect_size=\"22776832\"] \n  23 -> 31 [size =\"22776832\"]\n  23 -> 32 [size =\"22776832\"]\n  23 -> 36 [size =\"22776832\"]\n  23 -> 37 [size =\"22776832\"]\n  23 -> 38 [size =\"22776832\"]\n  23 -> 43 [size =\"22776832\"]\n  23 -> 45 [size =\"22776832\"]\n  24 [size=\"49126400\", alpha=\"0.16\", expect_size=\"19650560\"] \n  24 -> 31 [size =\"19650560\"]\n  24 -> 36 [size =\"19650560\"]\n  24 -> 36 [size =\"19650560\"]\n  24 -> 38 [size =\"19650560\"]\n  24 -> 41 [size =\"19650560\"]\n  24 -> 43 [size =\"19650560\"]\n  24 -> 45 [size =\"19650560\"]\n  25 [size=\"41044480\", alpha=\"0.01\", expect_size=\"16417792\"] \n  25 -> 32 [size =\"16417792\"]\n  25 -> 33 [size =\"16417792\"]\n  25 -> 36 [size =\"16417792\"]\n  25 -> 38 [size =\"16417792\"]\n  25 -> 42 [size =\"16417792\"]\n  25 -> 45 [size =\"16417792\"]\n  26 [size=\"86366720\", alpha=\"0.19\", expect_size=\"34546688\"] \n  26 -> 30 [size =\"34546688\"]\n  26 -> 31 [size =\"34546688\"]\n  26 -> 32 [size =\"34546688\"]\n  26 -> 36 [size =\"34546688\"]\n  26 -> 38 [size =\"34546688\"]\n  26 -> 39 [size =\"34546688\"]\n  26 -> 43 [size =\"34546688\"]\n  26 -> 44 [size =\"34546688\"]\n  27 [size=\"42301440\", alpha=\"0.14\", expect_size=\"16920576\"] \n  27 -> 36 [size =\"16920576\"]\n  27 -> 38 [size =\"16920576\"]\n  27 -> 45 [size =\"16920576\"]\n  28 [size=\"19051520\", alpha=\"0.06\", expect_size=\"7620608\"] \n  28 -> 31 [size =\"7620608\"]\n  28 -> 32 [size =\"7620608\"]\n  28 -> 33 [size =\"7620608\"]\n  28 -> 36 [size =\"7620608\"]\n  28 -> 37 [size =\"7620608\"]\n  28 -> 38 [size =\"7620608\"]\n  28 -> 40 [size =\"7620608\"]\n  28 -> 42 [size =\"7620608\"]\n  28 -> 44 [size =\"7620608\"]\n  28 -> 45 [size =\"7620608\"]\n  29 [size=\"62625280\", alpha=\"0.04\", expect_size=\"25050112\"] \n  29 -> 31 [size =\"25050112\"]\n  29 -> 33 [size =\"25050112\"]\n  29 -> 36 [size =\"25050112\"]\n  29 -> 37 [size =\"25050112\"]\n  29 -> 38 [size =\"25050112\"]\n  29 -> 38 [size =\"25050112\"]\n  29 -> 39 [size =\"25050112\"]\n  29 -> 43 [size =\"25050112\"]\n  29 -> 44 [size =\"25050112\"]\n  29 -> 45 [size =\"25050112\"]\n  30 [size=\"60899840\", alpha=\"0.05\", expect_size=\"24359936\"] \n  31 [size=\"38901760\", alpha=\"0.11\", expect_size=\"15560704\"] \n  32 [size=\"47795200\", alpha=\"0.15\", expect_size=\"19118080\"] \n  33 [size=\"52270080\", alpha=\"0.11\", expect_size=\"20908032\"] \n  34 [size=\"60536320\", alpha=\"0.15\", expect_size=\"24214528\"] \n  35 [size=\"37611520\", alpha=\"0.09\", expect_size=\"15044608\"] \n  36 [size=\"42288640\", alpha=\"0.02\", expect_size=\"16915456\"] \n  37 [size=\"37189120\", alpha=\"0.07\", expect_size=\"14875648\"] \n  38 [size=\"120130560\", alpha=\"0.14\", expect_size=\"48052224\"] \n  39 [size=\"38028800\", alpha=\"0.18\", expect_size=\"15211520\"] \n  40 [size=\"62804480\", alpha=\"0.02\", expect_size=\"25121792\"] \n  41 [size=\"90997760\", alpha=\"0.19\", expect_size=\"36399104\"] \n  42 [size=\"40591360\", alpha=\"0.13\", expect_size=\"16236544\"] \n  43 [size=\"130529280\", alpha=\"0.14\", expect_size=\"52211712\"] \n  44 [size=\"79357440\", alpha=\"0.02\", expect_size=\"31742976\"] \n  45 [size=\"49564160\", alpha=\"0.14\", expect_size=\"19825664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91011072\", alpha=\"0.01\", expect_size=\"45505536\"] \n  1 -> 2 [size =\"45505536\"]\n  2 [size=\"19656704\", alpha=\"0.09\", expect_size=\"9828352\"] \n  2 -> 3 [size =\"9828352\"]\n  3 [size=\"78616576\", alpha=\"0.20\", expect_size=\"39308288\"] \n  3 -> 4 [size =\"39308288\"]\n  4 [size=\"19871744\", alpha=\"0.15\", expect_size=\"9935872\"] \n  4 -> 5 [size =\"9935872\"]\n  5 [size=\"37027840\", alpha=\"0.20\", expect_size=\"18513920\"] \n  5 -> 6 [size =\"18513920\"]\n  6 [size=\"88924160\", alpha=\"0.16\", expect_size=\"44462080\"] \n  6 -> 7 [size =\"44462080\"]\n  7 [size=\"74121216\", alpha=\"0.20\", expect_size=\"37060608\"] \n  7 -> 8 [size =\"37060608\"]\n  8 [size=\"56446976\", alpha=\"0.01\", expect_size=\"28223488\"] \n  8 -> 9 [size =\"28223488\"]\n  9 [size=\"66275328\", alpha=\"0.12\", expect_size=\"33137664\"] \n  9 -> 10 [size =\"33137664\"]\n  10 [size=\"92930048\", alpha=\"0.02\", expect_size=\"46465024\"] \n  10 -> 11 [size =\"46465024\"]\n  11 [size=\"61554688\", alpha=\"0.05\", expect_size=\"30777344\"] \n  11 -> 12 [size =\"30777344\"]\n  12 [size=\"64636928\", alpha=\"0.08\", expect_size=\"32318464\"] \n  12 -> 13 [size =\"32318464\"]\n  13 [size=\"12904448\", alpha=\"0.16\", expect_size=\"6452224\"] \n  13 -> 14 [size =\"6452224\"]\n  14 [size=\"12234752\", alpha=\"0.14\", expect_size=\"6117376\"] \n  14 -> 15 [size =\"6117376\"]\n  15 [size=\"83042304\", alpha=\"0.03\", expect_size=\"41521152\"] \n  15 -> 16 [size =\"41521152\"]\n  16 [size=\"82917376\", alpha=\"0.18\", expect_size=\"41458688\"] \n  16 -> 17 [size =\"41458688\"]\n  17 [size=\"64325632\", alpha=\"0.04\", expect_size=\"32162816\"] \n  17 -> 18 [size =\"32162816\"]\n  18 [size=\"62910464\", alpha=\"0.17\", expect_size=\"31455232\"] \n  18 -> 19 [size =\"31455232\"]\n  19 [size=\"67295232\", alpha=\"0.12\", expect_size=\"33647616\"] \n  19 -> 20 [size =\"33647616\"]\n  20 [size=\"30439424\", alpha=\"0.09\", expect_size=\"15219712\"] \n  20 -> 21 [size =\"15219712\"]\n  21 [size=\"39053312\", alpha=\"0.03\", expect_size=\"19526656\"] \n  21 -> 22 [size =\"19526656\"]\n  22 [size=\"63275008\", alpha=\"0.19\", expect_size=\"31637504\"] \n  22 -> 23 [size =\"31637504\"]\n  23 [size=\"101656576\", alpha=\"0.09\", expect_size=\"50828288\"] \n  23 -> 24 [size =\"50828288\"]\n  24 [size=\"82432000\", alpha=\"0.01\", expect_size=\"41216000\"] \n  24 -> 25 [size =\"41216000\"]\n  25 [size=\"52963328\", alpha=\"0.19\", expect_size=\"26481664\"] \n  25 -> 26 [size =\"26481664\"]\n  26 [size=\"66641920\", alpha=\"0.14\", expect_size=\"33320960\"] \n  26 -> 27 [size =\"33320960\"]\n  27 [size=\"56483840\", alpha=\"0.02\", expect_size=\"28241920\"] \n  27 -> 28 [size =\"28241920\"]\n  28 [size=\"74135552\", alpha=\"0.19\", expect_size=\"37067776\"] \n  28 -> 29 [size =\"37067776\"]\n  29 [size=\"59054080\", alpha=\"0.09\", expect_size=\"29527040\"] \n  29 -> 30 [size =\"29527040\"]\n  30 [size=\"22654976\", alpha=\"0.16\", expect_size=\"11327488\"] \n  30 -> 31 [size =\"11327488\"]\n  31 [size=\"65609728\", alpha=\"0.14\", expect_size=\"32804864\"] \n  31 -> 32 [size =\"32804864\"]\n  32 [size=\"79697920\", alpha=\"0.03\", expect_size=\"39848960\"] \n  32 -> 33 [size =\"39848960\"]\n  33 [size=\"74094592\", alpha=\"0.13\", expect_size=\"37047296\"] \n  33 -> 34 [size =\"37047296\"]\n  34 [size=\"22556672\", alpha=\"0.03\", expect_size=\"11278336\"] \n  34 -> 35 [size =\"11278336\"]\n  35 [size=\"28841984\", alpha=\"0.09\", expect_size=\"14420992\"] \n  35 -> 36 [size =\"14420992\"]\n  36 [size=\"25122816\", alpha=\"0.10\", expect_size=\"12561408\"] \n  36 -> 37 [size =\"12561408\"]\n  37 [size=\"89839616\", alpha=\"0.02\", expect_size=\"44919808\"] \n  37 -> 38 [size =\"44919808\"]\n  38 [size=\"97882112\", alpha=\"0.06\", expect_size=\"48941056\"] \n  38 -> 39 [size =\"48941056\"]\n  39 [size=\"95215616\", alpha=\"0.01\", expect_size=\"47607808\"] \n  39 -> 40 [size =\"47607808\"]\n  40 [size=\"43255808\", alpha=\"0.01\", expect_size=\"21627904\"] \n  40 -> 41 [size =\"21627904\"]\n  41 [size=\"24449024\", alpha=\"0.07\", expect_size=\"12224512\"] \n  41 -> 42 [size =\"12224512\"]\n  42 [size=\"89868288\", alpha=\"0.04\", expect_size=\"44934144\"] \n  42 -> 43 [size =\"44934144\"]\n  43 [size=\"10547200\", alpha=\"0.20\", expect_size=\"5273600\"] \n  43 -> 44 [size =\"5273600\"]\n  44 [size=\"72019968\", alpha=\"0.11\", expect_size=\"36009984\"] \n  44 -> 45 [size =\"36009984\"]\n  45 [size=\"87296000\", alpha=\"0.12\", expect_size=\"43648000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94699520\", alpha=\"0.06\", expect_size=\"37879808\"] \n  1 -> 8 [size =\"37879808\"]\n  2 [size=\"17881600\", alpha=\"0.15\", expect_size=\"7152640\"] \n  2 -> 8 [size =\"7152640\"]\n  2 -> 9 [size =\"7152640\"]\n  2 -> 10 [size =\"7152640\"]\n  3 [size=\"71782400\", alpha=\"0.05\", expect_size=\"28712960\"] \n  3 -> 8 [size =\"28712960\"]\n  3 -> 9 [size =\"28712960\"]\n  3 -> 10 [size =\"28712960\"]\n  4 [size=\"99266560\", alpha=\"0.10\", expect_size=\"39706624\"] \n  4 -> 7 [size =\"39706624\"]\n  4 -> 8 [size =\"39706624\"]\n  4 -> 9 [size =\"39706624\"]\n  5 [size=\"71618560\", alpha=\"0.18\", expect_size=\"28647424\"] \n  5 -> 8 [size =\"28647424\"]\n  5 -> 9 [size =\"28647424\"]\n  5 -> 9 [size =\"28647424\"]\n  6 [size=\"86581760\", alpha=\"0.06\", expect_size=\"34632704\"] \n  6 -> 7 [size =\"34632704\"]\n  6 -> 10 [size =\"34632704\"]\n  7 [size=\"43210240\", alpha=\"0.07\", expect_size=\"17284096\"] \n  7 -> 11 [size =\"17284096\"]\n  7 -> 13 [size =\"17284096\"]\n  7 -> 14 [size =\"17284096\"]\n  8 [size=\"46888960\", alpha=\"0.01\", expect_size=\"18755584\"] \n  8 -> 13 [size =\"18755584\"]\n  8 -> 14 [size =\"18755584\"]\n  9 [size=\"48527360\", alpha=\"0.16\", expect_size=\"19410944\"] \n  9 -> 11 [size =\"19410944\"]\n  9 -> 12 [size =\"19410944\"]\n  9 -> 13 [size =\"19410944\"]\n  9 -> 14 [size =\"19410944\"]\n  10 [size=\"39825920\", alpha=\"0.06\", expect_size=\"15930368\"] \n  10 -> 11 [size =\"15930368\"]\n  10 -> 13 [size =\"15930368\"]\n  10 -> 14 [size =\"15930368\"]\n  11 [size=\"22840320\", alpha=\"0.18\", expect_size=\"9136128\"] \n  11 -> 15 [size =\"9136128\"]\n  11 -> 16 [size =\"9136128\"]\n  11 -> 18 [size =\"9136128\"]\n  11 -> 19 [size =\"9136128\"]\n  11 -> 20 [size =\"9136128\"]\n  12 [size=\"57221120\", alpha=\"0.14\", expect_size=\"22888448\"] \n  12 -> 16 [size =\"22888448\"]\n  12 -> 16 [size =\"22888448\"]\n  12 -> 18 [size =\"22888448\"]\n  12 -> 19 [size =\"22888448\"]\n  12 -> 20 [size =\"22888448\"]\n  12 -> 21 [size =\"22888448\"]\n  13 [size=\"30663680\", alpha=\"0.02\", expect_size=\"12265472\"] \n  13 -> 15 [size =\"12265472\"]\n  13 -> 17 [size =\"12265472\"]\n  13 -> 18 [size =\"12265472\"]\n  13 -> 19 [size =\"12265472\"]\n  13 -> 20 [size =\"12265472\"]\n  14 [size=\"62510080\", alpha=\"0.05\", expect_size=\"25004032\"] \n  14 -> 16 [size =\"25004032\"]\n  14 -> 19 [size =\"25004032\"]\n  14 -> 21 [size =\"25004032\"]\n  15 [size=\"120967680\", alpha=\"0.01\", expect_size=\"48387072\"] \n  15 -> 23 [size =\"48387072\"]\n  15 -> 25 [size =\"48387072\"]\n  15 -> 26 [size =\"48387072\"]\n  15 -> 27 [size =\"48387072\"]\n  16 [size=\"110202880\", alpha=\"0.12\", expect_size=\"44081152\"] \n  16 -> 23 [size =\"44081152\"]\n  16 -> 25 [size =\"44081152\"]\n  17 [size=\"26631680\", alpha=\"0.13\", expect_size=\"10652672\"] \n  17 -> 28 [size =\"10652672\"]\n  18 [size=\"65794560\", alpha=\"0.15\", expect_size=\"26317824\"] \n  18 -> 22 [size =\"26317824\"]\n  18 -> 24 [size =\"26317824\"]\n  18 -> 25 [size =\"26317824\"]\n  18 -> 26 [size =\"26317824\"]\n  18 -> 27 [size =\"26317824\"]\n  18 -> 28 [size =\"26317824\"]\n  19 [size=\"69591040\", alpha=\"0.18\", expect_size=\"27836416\"] \n  19 -> 22 [size =\"27836416\"]\n  19 -> 23 [size =\"27836416\"]\n  19 -> 25 [size =\"27836416\"]\n  19 -> 26 [size =\"27836416\"]\n  19 -> 27 [size =\"27836416\"]\n  20 [size=\"47464960\", alpha=\"0.03\", expect_size=\"18985984\"] \n  20 -> 22 [size =\"18985984\"]\n  20 -> 23 [size =\"18985984\"]\n  20 -> 25 [size =\"18985984\"]\n  20 -> 26 [size =\"18985984\"]\n  20 -> 27 [size =\"18985984\"]\n  21 [size=\"85235200\", alpha=\"0.03\", expect_size=\"34094080\"] \n  21 -> 22 [size =\"34094080\"]\n  21 -> 23 [size =\"34094080\"]\n  21 -> 25 [size =\"34094080\"]\n  21 -> 26 [size =\"34094080\"]\n  21 -> 27 [size =\"34094080\"]\n  22 [size=\"75095040\", alpha=\"0.04\", expect_size=\"30038016\"] \n  22 -> 29 [size =\"30038016\"]\n  22 -> 31 [size =\"30038016\"]\n  23 [size=\"42560000\", alpha=\"0.14\", expect_size=\"17024000\"] \n  23 -> 29 [size =\"17024000\"]\n  23 -> 32 [size =\"17024000\"]\n  24 [size=\"55329280\", alpha=\"0.19\", expect_size=\"22131712\"] \n  24 -> 29 [size =\"22131712\"]\n  24 -> 32 [size =\"22131712\"]\n  25 [size=\"85050880\", alpha=\"0.14\", expect_size=\"34020352\"] \n  25 -> 29 [size =\"34020352\"]\n  25 -> 30 [size =\"34020352\"]\n  25 -> 31 [size =\"34020352\"]\n  25 -> 32 [size =\"34020352\"]\n  26 [size=\"91594240\", alpha=\"0.02\", expect_size=\"36637696\"] \n  26 -> 29 [size =\"36637696\"]\n  26 -> 30 [size =\"36637696\"]\n  26 -> 32 [size =\"36637696\"]\n  27 [size=\"44897280\", alpha=\"0.14\", expect_size=\"17958912\"] \n  27 -> 29 [size =\"17958912\"]\n  27 -> 30 [size =\"17958912\"]\n  27 -> 31 [size =\"17958912\"]\n  28 [size=\"120322560\", alpha=\"0.12\", expect_size=\"48129024\"] \n  28 -> 29 [size =\"48129024\"]\n  28 -> 30 [size =\"48129024\"]\n  28 -> 32 [size =\"48129024\"]\n  29 [size=\"88977920\", alpha=\"0.17\", expect_size=\"35591168\"] \n  29 -> 33 [size =\"35591168\"]\n  29 -> 34 [size =\"35591168\"]\n  29 -> 35 [size =\"35591168\"]\n  29 -> 38 [size =\"35591168\"]\n  30 [size=\"74337280\", alpha=\"0.05\", expect_size=\"29734912\"] \n  30 -> 33 [size =\"29734912\"]\n  30 -> 34 [size =\"29734912\"]\n  30 -> 35 [size =\"29734912\"]\n  30 -> 36 [size =\"29734912\"]\n  30 -> 37 [size =\"29734912\"]\n  30 -> 38 [size =\"29734912\"]\n  31 [size=\"94274560\", alpha=\"0.16\", expect_size=\"37709824\"] \n  31 -> 33 [size =\"37709824\"]\n  31 -> 34 [size =\"37709824\"]\n  31 -> 37 [size =\"37709824\"]\n  31 -> 38 [size =\"37709824\"]\n  32 [size=\"112422400\", alpha=\"0.14\", expect_size=\"44968960\"] \n  32 -> 33 [size =\"44968960\"]\n  32 -> 34 [size =\"44968960\"]\n  32 -> 35 [size =\"44968960\"]\n  32 -> 36 [size =\"44968960\"]\n  32 -> 37 [size =\"44968960\"]\n  33 [size=\"15590400\", alpha=\"0.15\", expect_size=\"6236160\"] \n  33 -> 39 [size =\"6236160\"]\n  33 -> 42 [size =\"6236160\"]\n  33 -> 42 [size =\"6236160\"]\n  33 -> 43 [size =\"6236160\"]\n  33 -> 44 [size =\"6236160\"]\n  34 [size=\"98385920\", alpha=\"0.04\", expect_size=\"39354368\"] \n  34 -> 39 [size =\"39354368\"]\n  34 -> 44 [size =\"39354368\"]\n  34 -> 45 [size =\"39354368\"]\n  35 [size=\"93073920\", alpha=\"0.12\", expect_size=\"37229568\"] \n  35 -> 40 [size =\"37229568\"]\n  35 -> 42 [size =\"37229568\"]\n  35 -> 43 [size =\"37229568\"]\n  35 -> 44 [size =\"37229568\"]\n  35 -> 45 [size =\"37229568\"]\n  36 [size=\"58165760\", alpha=\"0.16\", expect_size=\"23266304\"] \n  36 -> 39 [size =\"23266304\"]\n  36 -> 40 [size =\"23266304\"]\n  36 -> 41 [size =\"23266304\"]\n  36 -> 43 [size =\"23266304\"]\n  36 -> 44 [size =\"23266304\"]\n  36 -> 45 [size =\"23266304\"]\n  37 [size=\"67136000\", alpha=\"0.02\", expect_size=\"26854400\"] \n  37 -> 39 [size =\"26854400\"]\n  37 -> 41 [size =\"26854400\"]\n  37 -> 43 [size =\"26854400\"]\n  37 -> 45 [size =\"26854400\"]\n  38 [size=\"32128000\", alpha=\"0.17\", expect_size=\"12851200\"] \n  38 -> 39 [size =\"12851200\"]\n  38 -> 41 [size =\"12851200\"]\n  38 -> 42 [size =\"12851200\"]\n  38 -> 45 [size =\"12851200\"]\n  39 [size=\"104883200\", alpha=\"0.02\", expect_size=\"41953280\"] \n  40 [size=\"84897280\", alpha=\"0.13\", expect_size=\"33958912\"] \n  41 [size=\"116851200\", alpha=\"0.16\", expect_size=\"46740480\"] \n  42 [size=\"92520960\", alpha=\"0.09\", expect_size=\"37008384\"] \n  43 [size=\"56015360\", alpha=\"0.07\", expect_size=\"22406144\"] \n  44 [size=\"24898560\", alpha=\"0.13\", expect_size=\"9959424\"] \n  45 [size=\"48568320\", alpha=\"0.11\", expect_size=\"19427328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59967488\", alpha=\"0.03\", expect_size=\"29983744\"] \n  1 -> 4 [size =\"29983744\"]\n  1 -> 5 [size =\"29983744\"]\n  1 -> 6 [size =\"29983744\"]\n  2 [size=\"95889408\", alpha=\"0.17\", expect_size=\"47944704\"] \n  2 -> 4 [size =\"47944704\"]\n  2 -> 5 [size =\"47944704\"]\n  2 -> 6 [size =\"47944704\"]\n  3 [size=\"57614336\", alpha=\"0.13\", expect_size=\"28807168\"] \n  3 -> 4 [size =\"28807168\"]\n  3 -> 5 [size =\"28807168\"]\n  3 -> 6 [size =\"28807168\"]\n  4 [size=\"96944128\", alpha=\"0.18\", expect_size=\"48472064\"] \n  4 -> 7 [size =\"48472064\"]\n  5 [size=\"40200192\", alpha=\"0.15\", expect_size=\"20100096\"] \n  5 -> 7 [size =\"20100096\"]\n  5 -> 8 [size =\"20100096\"]\n  6 [size=\"54329344\", alpha=\"0.11\", expect_size=\"27164672\"] \n  6 -> 7 [size =\"27164672\"]\n  6 -> 8 [size =\"27164672\"]\n  7 [size=\"15702016\", alpha=\"0.10\", expect_size=\"7851008\"] \n  7 -> 9 [size =\"7851008\"]\n  7 -> 10 [size =\"7851008\"]\n  7 -> 11 [size =\"7851008\"]\n  8 [size=\"43997184\", alpha=\"0.16\", expect_size=\"21998592\"] \n  8 -> 9 [size =\"21998592\"]\n  8 -> 10 [size =\"21998592\"]\n  8 -> 11 [size =\"21998592\"]\n  9 [size=\"78084096\", alpha=\"0.14\", expect_size=\"39042048\"] \n  9 -> 12 [size =\"39042048\"]\n  9 -> 13 [size =\"39042048\"]\n  9 -> 14 [size =\"39042048\"]\n  10 [size=\"28749824\", alpha=\"0.16\", expect_size=\"14374912\"] \n  10 -> 12 [size =\"14374912\"]\n  11 [size=\"100028416\", alpha=\"0.13\", expect_size=\"50014208\"] \n  11 -> 12 [size =\"50014208\"]\n  12 [size=\"18567168\", alpha=\"0.19\", expect_size=\"9283584\"] \n  12 -> 15 [size =\"9283584\"]\n  12 -> 16 [size =\"9283584\"]\n  12 -> 17 [size =\"9283584\"]\n  13 [size=\"99815424\", alpha=\"0.14\", expect_size=\"49907712\"] \n  13 -> 15 [size =\"49907712\"]\n  13 -> 17 [size =\"49907712\"]\n  14 [size=\"68700160\", alpha=\"0.04\", expect_size=\"34350080\"] \n  14 -> 15 [size =\"34350080\"]\n  14 -> 17 [size =\"34350080\"]\n  15 [size=\"60147712\", alpha=\"0.13\", expect_size=\"30073856\"] \n  15 -> 19 [size =\"30073856\"]\n  16 [size=\"36470784\", alpha=\"0.20\", expect_size=\"18235392\"] \n  16 -> 19 [size =\"18235392\"]\n  17 [size=\"87724032\", alpha=\"0.11\", expect_size=\"43862016\"] \n  17 -> 18 [size =\"43862016\"]\n  17 -> 19 [size =\"43862016\"]\n  18 [size=\"39477248\", alpha=\"0.18\", expect_size=\"19738624\"] \n  18 -> 20 [size =\"19738624\"]\n  18 -> 21 [size =\"19738624\"]\n  18 -> 22 [size =\"19738624\"]\n  19 [size=\"20473856\", alpha=\"0.17\", expect_size=\"10236928\"] \n  19 -> 20 [size =\"10236928\"]\n  19 -> 21 [size =\"10236928\"]\n  20 [size=\"84301824\", alpha=\"0.01\", expect_size=\"42150912\"] \n  20 -> 24 [size =\"42150912\"]\n  21 [size=\"66232320\", alpha=\"0.17\", expect_size=\"33116160\"] \n  21 -> 24 [size =\"33116160\"]\n  22 [size=\"30976000\", alpha=\"0.10\", expect_size=\"15488000\"] \n  22 -> 23 [size =\"15488000\"]\n  22 -> 24 [size =\"15488000\"]\n  23 [size=\"25208832\", alpha=\"0.14\", expect_size=\"12604416\"] \n  23 -> 25 [size =\"12604416\"]\n  23 -> 27 [size =\"12604416\"]\n  24 [size=\"89982976\", alpha=\"0.15\", expect_size=\"44991488\"] \n  24 -> 25 [size =\"44991488\"]\n  24 -> 26 [size =\"44991488\"]\n  25 [size=\"14456832\", alpha=\"0.03\", expect_size=\"7228416\"] \n  25 -> 28 [size =\"7228416\"]\n  25 -> 29 [size =\"7228416\"]\n  26 [size=\"73771008\", alpha=\"0.01\", expect_size=\"36885504\"] \n  26 -> 28 [size =\"36885504\"]\n  26 -> 29 [size =\"36885504\"]\n  27 [size=\"71495680\", alpha=\"0.19\", expect_size=\"35747840\"] \n  27 -> 28 [size =\"35747840\"]\n  27 -> 29 [size =\"35747840\"]\n  28 [size=\"29087744\", alpha=\"0.05\", expect_size=\"14543872\"] \n  28 -> 30 [size =\"14543872\"]\n  28 -> 31 [size =\"14543872\"]\n  29 [size=\"18284544\", alpha=\"0.05\", expect_size=\"9142272\"] \n  29 -> 30 [size =\"9142272\"]\n  29 -> 31 [size =\"9142272\"]\n  30 [size=\"96544768\", alpha=\"0.08\", expect_size=\"48272384\"] \n  30 -> 32 [size =\"48272384\"]\n  30 -> 34 [size =\"48272384\"]\n  31 [size=\"103299072\", alpha=\"0.11\", expect_size=\"51649536\"] \n  31 -> 32 [size =\"51649536\"]\n  31 -> 33 [size =\"51649536\"]\n  32 [size=\"88033280\", alpha=\"0.15\", expect_size=\"44016640\"] \n  32 -> 35 [size =\"44016640\"]\n  33 [size=\"41779200\", alpha=\"0.19\", expect_size=\"20889600\"] \n  33 -> 35 [size =\"20889600\"]\n  33 -> 37 [size =\"20889600\"]\n  34 [size=\"11665408\", alpha=\"0.15\", expect_size=\"5832704\"] \n  34 -> 35 [size =\"5832704\"]\n  34 -> 36 [size =\"5832704\"]\n  34 -> 37 [size =\"5832704\"]\n  35 [size=\"84150272\", alpha=\"0.01\", expect_size=\"42075136\"] \n  35 -> 38 [size =\"42075136\"]\n  35 -> 39 [size =\"42075136\"]\n  36 [size=\"100206592\", alpha=\"0.12\", expect_size=\"50103296\"] \n  37 [size=\"103680000\", alpha=\"0.01\", expect_size=\"51840000\"] \n  37 -> 39 [size =\"51840000\"]\n  38 [size=\"99788800\", alpha=\"0.15\", expect_size=\"49894400\"] \n  38 -> 40 [size =\"49894400\"]\n  38 -> 41 [size =\"49894400\"]\n  39 [size=\"27670528\", alpha=\"0.11\", expect_size=\"13835264\"] \n  39 -> 41 [size =\"13835264\"]\n  40 [size=\"49295360\", alpha=\"0.03\", expect_size=\"24647680\"] \n  40 -> 42 [size =\"24647680\"]\n  40 -> 43 [size =\"24647680\"]\n  41 [size=\"88561664\", alpha=\"0.07\", expect_size=\"44280832\"] \n  41 -> 42 [size =\"44280832\"]\n  41 -> 43 [size =\"44280832\"]\n  42 [size=\"46266368\", alpha=\"0.15\", expect_size=\"23133184\"] \n  42 -> 44 [size =\"23133184\"]\n  42 -> 45 [size =\"23133184\"]\n  43 [size=\"24862720\", alpha=\"0.06\", expect_size=\"12431360\"] \n  43 -> 44 [size =\"12431360\"]\n  43 -> 45 [size =\"12431360\"]\n  44 [size=\"19312640\", alpha=\"0.15\", expect_size=\"9656320\"] \n  45 [size=\"87828480\", alpha=\"0.04\", expect_size=\"43914240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102251520\", alpha=\"0.03\", expect_size=\"40900608\"] \n  1 -> 31 [size =\"40900608\"]\n  1 -> 32 [size =\"40900608\"]\n  1 -> 33 [size =\"40900608\"]\n  1 -> 35 [size =\"40900608\"]\n  1 -> 36 [size =\"40900608\"]\n  1 -> 39 [size =\"40900608\"]\n  1 -> 41 [size =\"40900608\"]\n  1 -> 43 [size =\"40900608\"]\n  1 -> 44 [size =\"40900608\"]\n  2 [size=\"75970560\", alpha=\"0.11\", expect_size=\"30388224\"] \n  2 -> 32 [size =\"30388224\"]\n  2 -> 33 [size =\"30388224\"]\n  2 -> 37 [size =\"30388224\"]\n  2 -> 40 [size =\"30388224\"]\n  2 -> 43 [size =\"30388224\"]\n  3 [size=\"61621760\", alpha=\"0.07\", expect_size=\"24648704\"] \n  3 -> 39 [size =\"24648704\"]\n  3 -> 41 [size =\"24648704\"]\n  3 -> 43 [size =\"24648704\"]\n  3 -> 44 [size =\"24648704\"]\n  4 [size=\"93946880\", alpha=\"0.20\", expect_size=\"37578752\"] \n  4 -> 31 [size =\"37578752\"]\n  4 -> 34 [size =\"37578752\"]\n  4 -> 37 [size =\"37578752\"]\n  4 -> 38 [size =\"37578752\"]\n  5 [size=\"67440640\", alpha=\"0.10\", expect_size=\"26976256\"] \n  5 -> 33 [size =\"26976256\"]\n  5 -> 34 [size =\"26976256\"]\n  5 -> 35 [size =\"26976256\"]\n  5 -> 36 [size =\"26976256\"]\n  5 -> 38 [size =\"26976256\"]\n  5 -> 42 [size =\"26976256\"]\n  5 -> 43 [size =\"26976256\"]\n  6 [size=\"46581760\", alpha=\"0.13\", expect_size=\"18632704\"] \n  6 -> 31 [size =\"18632704\"]\n  6 -> 33 [size =\"18632704\"]\n  6 -> 39 [size =\"18632704\"]\n  6 -> 41 [size =\"18632704\"]\n  6 -> 43 [size =\"18632704\"]\n  7 [size=\"105274880\", alpha=\"0.14\", expect_size=\"42109952\"] \n  7 -> 35 [size =\"42109952\"]\n  7 -> 37 [size =\"42109952\"]\n  7 -> 39 [size =\"42109952\"]\n  7 -> 41 [size =\"42109952\"]\n  7 -> 42 [size =\"42109952\"]\n  7 -> 43 [size =\"42109952\"]\n  7 -> 45 [size =\"42109952\"]\n  8 [size=\"25231360\", alpha=\"0.14\", expect_size=\"10092544\"] \n  8 -> 31 [size =\"10092544\"]\n  8 -> 39 [size =\"10092544\"]\n  8 -> 39 [size =\"10092544\"]\n  8 -> 42 [size =\"10092544\"]\n  8 -> 44 [size =\"10092544\"]\n  8 -> 45 [size =\"10092544\"]\n  9 [size=\"82629120\", alpha=\"0.04\", expect_size=\"33051648\"] \n  9 -> 31 [size =\"33051648\"]\n  9 -> 36 [size =\"33051648\"]\n  9 -> 42 [size =\"33051648\"]\n  10 [size=\"17423360\", alpha=\"0.17\", expect_size=\"6969344\"] \n  10 -> 33 [size =\"6969344\"]\n  11 [size=\"37020160\", alpha=\"0.08\", expect_size=\"14808064\"] \n  11 -> 35 [size =\"14808064\"]\n  11 -> 41 [size =\"14808064\"]\n  11 -> 42 [size =\"14808064\"]\n  11 -> 43 [size =\"14808064\"]\n  12 [size=\"56186880\", alpha=\"0.07\", expect_size=\"22474752\"] \n  12 -> 31 [size =\"22474752\"]\n  12 -> 33 [size =\"22474752\"]\n  12 -> 34 [size =\"22474752\"]\n  12 -> 35 [size =\"22474752\"]\n  12 -> 38 [size =\"22474752\"]\n  12 -> 40 [size =\"22474752\"]\n  12 -> 41 [size =\"22474752\"]\n  12 -> 43 [size =\"22474752\"]\n  12 -> 44 [size =\"22474752\"]\n  13 [size=\"119485440\", alpha=\"0.06\", expect_size=\"47794176\"] \n  13 -> 31 [size =\"47794176\"]\n  13 -> 32 [size =\"47794176\"]\n  13 -> 33 [size =\"47794176\"]\n  13 -> 36 [size =\"47794176\"]\n  13 -> 38 [size =\"47794176\"]\n  13 -> 41 [size =\"47794176\"]\n  13 -> 43 [size =\"47794176\"]\n  13 -> 44 [size =\"47794176\"]\n  14 [size=\"40468480\", alpha=\"0.04\", expect_size=\"16187392\"] \n  14 -> 31 [size =\"16187392\"]\n  14 -> 33 [size =\"16187392\"]\n  14 -> 37 [size =\"16187392\"]\n  14 -> 38 [size =\"16187392\"]\n  14 -> 39 [size =\"16187392\"]\n  14 -> 43 [size =\"16187392\"]\n  15 [size=\"38504960\", alpha=\"0.19\", expect_size=\"15401984\"] \n  15 -> 32 [size =\"15401984\"]\n  15 -> 33 [size =\"15401984\"]\n  15 -> 34 [size =\"15401984\"]\n  15 -> 36 [size =\"15401984\"]\n  15 -> 39 [size =\"15401984\"]\n  16 [size=\"97300480\", alpha=\"0.17\", expect_size=\"38920192\"] \n  16 -> 32 [size =\"38920192\"]\n  16 -> 33 [size =\"38920192\"]\n  16 -> 37 [size =\"38920192\"]\n  16 -> 38 [size =\"38920192\"]\n  16 -> 42 [size =\"38920192\"]\n  16 -> 43 [size =\"38920192\"]\n  16 -> 44 [size =\"38920192\"]\n  17 [size=\"55516160\", alpha=\"0.17\", expect_size=\"22206464\"] \n  17 -> 31 [size =\"22206464\"]\n  17 -> 32 [size =\"22206464\"]\n  17 -> 33 [size =\"22206464\"]\n  17 -> 35 [size =\"22206464\"]\n  17 -> 37 [size =\"22206464\"]\n  17 -> 38 [size =\"22206464\"]\n  17 -> 45 [size =\"22206464\"]\n  18 [size=\"22932480\", alpha=\"0.17\", expect_size=\"9172992\"] \n  18 -> 31 [size =\"9172992\"]\n  18 -> 32 [size =\"9172992\"]\n  18 -> 34 [size =\"9172992\"]\n  18 -> 35 [size =\"9172992\"]\n  18 -> 37 [size =\"9172992\"]\n  18 -> 38 [size =\"9172992\"]\n  18 -> 39 [size =\"9172992\"]\n  18 -> 42 [size =\"9172992\"]\n  18 -> 44 [size =\"9172992\"]\n  19 [size=\"107118080\", alpha=\"0.13\", expect_size=\"42847232\"] \n  19 -> 32 [size =\"42847232\"]\n  19 -> 35 [size =\"42847232\"]\n  19 -> 37 [size =\"42847232\"]\n  20 [size=\"13708800\", alpha=\"0.14\", expect_size=\"5483520\"] \n  20 -> 32 [size =\"5483520\"]\n  20 -> 37 [size =\"5483520\"]\n  20 -> 37 [size =\"5483520\"]\n  20 -> 39 [size =\"5483520\"]\n  20 -> 41 [size =\"5483520\"]\n  21 [size=\"113159680\", alpha=\"0.10\", expect_size=\"45263872\"] \n  21 -> 32 [size =\"45263872\"]\n  21 -> 35 [size =\"45263872\"]\n  21 -> 37 [size =\"45263872\"]\n  21 -> 45 [size =\"45263872\"]\n  22 [size=\"42972160\", alpha=\"0.17\", expect_size=\"17188864\"] \n  22 -> 32 [size =\"17188864\"]\n  22 -> 33 [size =\"17188864\"]\n  22 -> 34 [size =\"17188864\"]\n  22 -> 35 [size =\"17188864\"]\n  22 -> 37 [size =\"17188864\"]\n  22 -> 39 [size =\"17188864\"]\n  22 -> 42 [size =\"17188864\"]\n  22 -> 43 [size =\"17188864\"]\n  23 [size=\"85217280\", alpha=\"0.13\", expect_size=\"34086912\"] \n  23 -> 32 [size =\"34086912\"]\n  23 -> 34 [size =\"34086912\"]\n  23 -> 34 [size =\"34086912\"]\n  23 -> 35 [size =\"34086912\"]\n  23 -> 39 [size =\"34086912\"]\n  23 -> 43 [size =\"34086912\"]\n  24 [size=\"119656960\", alpha=\"0.01\", expect_size=\"47862784\"] \n  24 -> 31 [size =\"47862784\"]\n  24 -> 32 [size =\"47862784\"]\n  24 -> 33 [size =\"47862784\"]\n  24 -> 34 [size =\"47862784\"]\n  24 -> 35 [size =\"47862784\"]\n  24 -> 37 [size =\"47862784\"]\n  24 -> 39 [size =\"47862784\"]\n  24 -> 43 [size =\"47862784\"]\n  25 [size=\"26288640\", alpha=\"0.19\", expect_size=\"10515456\"] \n  25 -> 32 [size =\"10515456\"]\n  25 -> 32 [size =\"10515456\"]\n  25 -> 34 [size =\"10515456\"]\n  25 -> 35 [size =\"10515456\"]\n  25 -> 37 [size =\"10515456\"]\n  25 -> 37 [size =\"10515456\"]\n  25 -> 38 [size =\"10515456\"]\n  25 -> 39 [size =\"10515456\"]\n  25 -> 42 [size =\"10515456\"]\n  25 -> 43 [size =\"10515456\"]\n  26 [size=\"18283520\", alpha=\"0.03\", expect_size=\"7313408\"] \n  26 -> 33 [size =\"7313408\"]\n  26 -> 38 [size =\"7313408\"]\n  26 -> 44 [size =\"7313408\"]\n  27 [size=\"118504960\", alpha=\"0.03\", expect_size=\"47401984\"] \n  27 -> 31 [size =\"47401984\"]\n  27 -> 33 [size =\"47401984\"]\n  27 -> 35 [size =\"47401984\"]\n  27 -> 38 [size =\"47401984\"]\n  27 -> 39 [size =\"47401984\"]\n  27 -> 42 [size =\"47401984\"]\n  27 -> 43 [size =\"47401984\"]\n  28 [size=\"103237120\", alpha=\"0.04\", expect_size=\"41294848\"] \n  28 -> 31 [size =\"41294848\"]\n  29 [size=\"84078080\", alpha=\"0.17\", expect_size=\"33631232\"] \n  29 -> 31 [size =\"33631232\"]\n  29 -> 33 [size =\"33631232\"]\n  29 -> 34 [size =\"33631232\"]\n  29 -> 35 [size =\"33631232\"]\n  29 -> 39 [size =\"33631232\"]\n  29 -> 43 [size =\"33631232\"]\n  30 [size=\"43269120\", alpha=\"0.11\", expect_size=\"17307648\"] \n  30 -> 32 [size =\"17307648\"]\n  30 -> 33 [size =\"17307648\"]\n  30 -> 39 [size =\"17307648\"]\n  30 -> 42 [size =\"17307648\"]\n  30 -> 43 [size =\"17307648\"]\n  31 [size=\"127155200\", alpha=\"0.09\", expect_size=\"50862080\"] \n  32 [size=\"70983680\", alpha=\"0.14\", expect_size=\"28393472\"] \n  33 [size=\"55587840\", alpha=\"0.18\", expect_size=\"22235136\"] \n  34 [size=\"129482240\", alpha=\"0.06\", expect_size=\"51792896\"] \n  35 [size=\"19614720\", alpha=\"0.18\", expect_size=\"7845888\"] \n  36 [size=\"16248320\", alpha=\"0.04\", expect_size=\"6499328\"] \n  37 [size=\"34895360\", alpha=\"0.18\", expect_size=\"13958144\"] \n  38 [size=\"49758720\", alpha=\"0.14\", expect_size=\"19903488\"] \n  39 [size=\"72965120\", alpha=\"0.05\", expect_size=\"29186048\"] \n  40 [size=\"56069120\", alpha=\"0.16\", expect_size=\"22427648\"] \n  41 [size=\"121356800\", alpha=\"0.05\", expect_size=\"48542720\"] \n  42 [size=\"56814080\", alpha=\"0.18\", expect_size=\"22725632\"] \n  43 [size=\"23482880\", alpha=\"0.04\", expect_size=\"9393152\"] \n  44 [size=\"127744000\", alpha=\"0.08\", expect_size=\"51097600\"] \n  45 [size=\"43066880\", alpha=\"0.14\", expect_size=\"17226752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83686400\", alpha=\"0.02\", expect_size=\"33474560\"] \n  1 -> 2 [size =\"33474560\"]\n  2 [size=\"120693760\", alpha=\"0.02\", expect_size=\"48277504\"] \n  2 -> 3 [size =\"48277504\"]\n  3 [size=\"53207040\", alpha=\"0.04\", expect_size=\"21282816\"] \n  3 -> 4 [size =\"21282816\"]\n  4 [size=\"35200000\", alpha=\"0.18\", expect_size=\"14080000\"] \n  4 -> 5 [size =\"14080000\"]\n  5 [size=\"36584960\", alpha=\"0.05\", expect_size=\"14633984\"] \n  5 -> 6 [size =\"14633984\"]\n  6 [size=\"56360960\", alpha=\"0.00\", expect_size=\"22544384\"] \n  6 -> 7 [size =\"22544384\"]\n  7 [size=\"16296960\", alpha=\"0.19\", expect_size=\"6518784\"] \n  7 -> 8 [size =\"6518784\"]\n  8 [size=\"97848320\", alpha=\"0.11\", expect_size=\"39139328\"] \n  8 -> 9 [size =\"39139328\"]\n  9 [size=\"17423360\", alpha=\"0.16\", expect_size=\"6969344\"] \n  9 -> 10 [size =\"6969344\"]\n  10 [size=\"37173760\", alpha=\"0.14\", expect_size=\"14869504\"] \n  10 -> 11 [size =\"14869504\"]\n  11 [size=\"67148800\", alpha=\"0.06\", expect_size=\"26859520\"] \n  11 -> 12 [size =\"26859520\"]\n  12 [size=\"80734720\", alpha=\"0.03\", expect_size=\"32293888\"] \n  12 -> 13 [size =\"32293888\"]\n  13 [size=\"90585600\", alpha=\"0.13\", expect_size=\"36234240\"] \n  13 -> 14 [size =\"36234240\"]\n  14 [size=\"115494400\", alpha=\"0.11\", expect_size=\"46197760\"] \n  14 -> 15 [size =\"46197760\"]\n  15 [size=\"101434880\", alpha=\"0.14\", expect_size=\"40573952\"] \n  15 -> 16 [size =\"40573952\"]\n  16 [size=\"15360000\", alpha=\"0.12\", expect_size=\"6144000\"] \n  16 -> 17 [size =\"6144000\"]\n  17 [size=\"16552960\", alpha=\"0.03\", expect_size=\"6621184\"] \n  17 -> 18 [size =\"6621184\"]\n  18 [size=\"128670720\", alpha=\"0.07\", expect_size=\"51468288\"] \n  18 -> 19 [size =\"51468288\"]\n  19 [size=\"77227520\", alpha=\"0.03\", expect_size=\"30891008\"] \n  19 -> 20 [size =\"30891008\"]\n  20 [size=\"51077120\", alpha=\"0.03\", expect_size=\"20430848\"] \n  20 -> 21 [size =\"20430848\"]\n  21 [size=\"16783360\", alpha=\"0.14\", expect_size=\"6713344\"] \n  21 -> 22 [size =\"6713344\"]\n  22 [size=\"49838080\", alpha=\"0.04\", expect_size=\"19935232\"] \n  22 -> 23 [size =\"19935232\"]\n  23 [size=\"67745280\", alpha=\"0.00\", expect_size=\"27098112\"] \n  23 -> 24 [size =\"27098112\"]\n  24 [size=\"26393600\", alpha=\"0.00\", expect_size=\"10557440\"] \n  24 -> 25 [size =\"10557440\"]\n  25 [size=\"93601280\", alpha=\"0.05\", expect_size=\"37440512\"] \n  25 -> 26 [size =\"37440512\"]\n  26 [size=\"57464320\", alpha=\"0.16\", expect_size=\"22985728\"] \n  26 -> 27 [size =\"22985728\"]\n  27 [size=\"128586240\", alpha=\"0.08\", expect_size=\"51434496\"] \n  27 -> 28 [size =\"51434496\"]\n  28 [size=\"29306880\", alpha=\"0.15\", expect_size=\"11722752\"] \n  28 -> 29 [size =\"11722752\"]\n  29 [size=\"68812800\", alpha=\"0.02\", expect_size=\"27525120\"] \n  29 -> 30 [size =\"27525120\"]\n  30 [size=\"87111680\", alpha=\"0.13\", expect_size=\"34844672\"] \n  30 -> 31 [size =\"34844672\"]\n  31 [size=\"102302720\", alpha=\"0.14\", expect_size=\"40921088\"] \n  31 -> 32 [size =\"40921088\"]\n  32 [size=\"67005440\", alpha=\"0.05\", expect_size=\"26802176\"] \n  32 -> 33 [size =\"26802176\"]\n  33 [size=\"88803840\", alpha=\"0.10\", expect_size=\"35521536\"] \n  33 -> 34 [size =\"35521536\"]\n  34 [size=\"89832960\", alpha=\"0.13\", expect_size=\"35933184\"] \n  34 -> 35 [size =\"35933184\"]\n  35 [size=\"92190720\", alpha=\"0.10\", expect_size=\"36876288\"] \n  35 -> 36 [size =\"36876288\"]\n  36 [size=\"119357440\", alpha=\"0.08\", expect_size=\"47742976\"] \n  36 -> 37 [size =\"47742976\"]\n  37 [size=\"96616960\", alpha=\"0.06\", expect_size=\"38646784\"] \n  37 -> 38 [size =\"38646784\"]\n  38 [size=\"27166720\", alpha=\"0.04\", expect_size=\"10866688\"] \n  38 -> 39 [size =\"10866688\"]\n  39 [size=\"113712640\", alpha=\"0.13\", expect_size=\"45485056\"] \n  39 -> 40 [size =\"45485056\"]\n  40 [size=\"124638720\", alpha=\"0.08\", expect_size=\"49855488\"] \n  40 -> 41 [size =\"49855488\"]\n  41 [size=\"84019200\", alpha=\"0.04\", expect_size=\"33607680\"] \n  41 -> 42 [size =\"33607680\"]\n  42 [size=\"45895680\", alpha=\"0.06\", expect_size=\"18358272\"] \n  42 -> 43 [size =\"18358272\"]\n  43 [size=\"77895680\", alpha=\"0.17\", expect_size=\"31158272\"] \n  43 -> 44 [size =\"31158272\"]\n  44 [size=\"21570560\", alpha=\"0.11\", expect_size=\"8628224\"] \n  44 -> 45 [size =\"8628224\"]\n  45 [size=\"97269760\", alpha=\"0.18\", expect_size=\"38907904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101267456\", alpha=\"0.08\", expect_size=\"50633728\"] \n  1 -> 30 [size =\"50633728\"]\n  1 -> 30 [size =\"50633728\"]\n  1 -> 31 [size =\"50633728\"]\n  1 -> 33 [size =\"50633728\"]\n  1 -> 35 [size =\"50633728\"]\n  1 -> 37 [size =\"50633728\"]\n  1 -> 39 [size =\"50633728\"]\n  1 -> 40 [size =\"50633728\"]\n  1 -> 41 [size =\"50633728\"]\n  1 -> 43 [size =\"50633728\"]\n  2 [size=\"96456704\", alpha=\"0.14\", expect_size=\"48228352\"] \n  2 -> 25 [size =\"48228352\"]\n  2 -> 30 [size =\"48228352\"]\n  2 -> 31 [size =\"48228352\"]\n  2 -> 32 [size =\"48228352\"]\n  2 -> 33 [size =\"48228352\"]\n  2 -> 37 [size =\"48228352\"]\n  2 -> 39 [size =\"48228352\"]\n  2 -> 40 [size =\"48228352\"]\n  2 -> 43 [size =\"48228352\"]\n  3 [size=\"22466560\", alpha=\"0.07\", expect_size=\"11233280\"] \n  3 -> 26 [size =\"11233280\"]\n  3 -> 29 [size =\"11233280\"]\n  3 -> 30 [size =\"11233280\"]\n  3 -> 31 [size =\"11233280\"]\n  3 -> 32 [size =\"11233280\"]\n  3 -> 33 [size =\"11233280\"]\n  3 -> 36 [size =\"11233280\"]\n  3 -> 38 [size =\"11233280\"]\n  3 -> 39 [size =\"11233280\"]\n  3 -> 40 [size =\"11233280\"]\n  3 -> 41 [size =\"11233280\"]\n  3 -> 43 [size =\"11233280\"]\n  3 -> 44 [size =\"11233280\"]\n  3 -> 45 [size =\"11233280\"]\n  4 [size=\"41181184\", alpha=\"0.14\", expect_size=\"20590592\"] \n  4 -> 26 [size =\"20590592\"]\n  4 -> 31 [size =\"20590592\"]\n  4 -> 32 [size =\"20590592\"]\n  4 -> 33 [size =\"20590592\"]\n  4 -> 36 [size =\"20590592\"]\n  4 -> 37 [size =\"20590592\"]\n  4 -> 39 [size =\"20590592\"]\n  4 -> 40 [size =\"20590592\"]\n  4 -> 41 [size =\"20590592\"]\n  4 -> 43 [size =\"20590592\"]\n  4 -> 44 [size =\"20590592\"]\n  4 -> 45 [size =\"20590592\"]\n  5 [size=\"97093632\", alpha=\"0.04\", expect_size=\"48546816\"] \n  5 -> 23 [size =\"48546816\"]\n  5 -> 24 [size =\"48546816\"]\n  5 -> 28 [size =\"48546816\"]\n  5 -> 31 [size =\"48546816\"]\n  5 -> 33 [size =\"48546816\"]\n  5 -> 34 [size =\"48546816\"]\n  5 -> 35 [size =\"48546816\"]\n  5 -> 36 [size =\"48546816\"]\n  5 -> 37 [size =\"48546816\"]\n  5 -> 39 [size =\"48546816\"]\n  5 -> 40 [size =\"48546816\"]\n  5 -> 44 [size =\"48546816\"]\n  5 -> 45 [size =\"48546816\"]\n  6 [size=\"88766464\", alpha=\"0.15\", expect_size=\"44383232\"] \n  6 -> 24 [size =\"44383232\"]\n  6 -> 25 [size =\"44383232\"]\n  6 -> 28 [size =\"44383232\"]\n  6 -> 31 [size =\"44383232\"]\n  6 -> 32 [size =\"44383232\"]\n  6 -> 34 [size =\"44383232\"]\n  6 -> 36 [size =\"44383232\"]\n  6 -> 37 [size =\"44383232\"]\n  6 -> 39 [size =\"44383232\"]\n  6 -> 39 [size =\"44383232\"]\n  6 -> 40 [size =\"44383232\"]\n  6 -> 45 [size =\"44383232\"]\n  6 -> 45 [size =\"44383232\"]\n  7 [size=\"63037440\", alpha=\"0.10\", expect_size=\"31518720\"] \n  7 -> 25 [size =\"31518720\"]\n  7 -> 31 [size =\"31518720\"]\n  7 -> 34 [size =\"31518720\"]\n  7 -> 37 [size =\"31518720\"]\n  7 -> 38 [size =\"31518720\"]\n  7 -> 39 [size =\"31518720\"]\n  7 -> 43 [size =\"31518720\"]\n  7 -> 44 [size =\"31518720\"]\n  7 -> 45 [size =\"31518720\"]\n  8 [size=\"64296960\", alpha=\"0.02\", expect_size=\"32148480\"] \n  8 -> 26 [size =\"32148480\"]\n  8 -> 31 [size =\"32148480\"]\n  8 -> 40 [size =\"32148480\"]\n  8 -> 41 [size =\"32148480\"]\n  8 -> 43 [size =\"32148480\"]\n  8 -> 44 [size =\"32148480\"]\n  8 -> 45 [size =\"32148480\"]\n  9 [size=\"48936960\", alpha=\"0.11\", expect_size=\"24468480\"] \n  9 -> 24 [size =\"24468480\"]\n  9 -> 26 [size =\"24468480\"]\n  9 -> 28 [size =\"24468480\"]\n  9 -> 29 [size =\"24468480\"]\n  9 -> 30 [size =\"24468480\"]\n  9 -> 31 [size =\"24468480\"]\n  9 -> 32 [size =\"24468480\"]\n  9 -> 33 [size =\"24468480\"]\n  9 -> 34 [size =\"24468480\"]\n  9 -> 39 [size =\"24468480\"]\n  9 -> 40 [size =\"24468480\"]\n  9 -> 43 [size =\"24468480\"]\n  9 -> 45 [size =\"24468480\"]\n  10 [size=\"35604480\", alpha=\"0.12\", expect_size=\"17802240\"] \n  10 -> 31 [size =\"17802240\"]\n  10 -> 34 [size =\"17802240\"]\n  10 -> 37 [size =\"17802240\"]\n  10 -> 39 [size =\"17802240\"]\n  10 -> 43 [size =\"17802240\"]\n  10 -> 45 [size =\"17802240\"]\n  11 [size=\"65099776\", alpha=\"0.19\", expect_size=\"32549888\"] \n  11 -> 25 [size =\"32549888\"]\n  11 -> 31 [size =\"32549888\"]\n  11 -> 34 [size =\"32549888\"]\n  11 -> 37 [size =\"32549888\"]\n  11 -> 39 [size =\"32549888\"]\n  11 -> 41 [size =\"32549888\"]\n  11 -> 43 [size =\"32549888\"]\n  11 -> 44 [size =\"32549888\"]\n  11 -> 45 [size =\"32549888\"]\n  12 [size=\"102037504\", alpha=\"0.07\", expect_size=\"51018752\"] \n  12 -> 30 [size =\"51018752\"]\n  12 -> 31 [size =\"51018752\"]\n  12 -> 32 [size =\"51018752\"]\n  12 -> 33 [size =\"51018752\"]\n  12 -> 34 [size =\"51018752\"]\n  12 -> 35 [size =\"51018752\"]\n  12 -> 37 [size =\"51018752\"]\n  12 -> 41 [size =\"51018752\"]\n  12 -> 45 [size =\"51018752\"]\n  13 [size=\"74477568\", alpha=\"0.12\", expect_size=\"37238784\"] \n  13 -> 28 [size =\"37238784\"]\n  13 -> 29 [size =\"37238784\"]\n  13 -> 32 [size =\"37238784\"]\n  13 -> 34 [size =\"37238784\"]\n  13 -> 37 [size =\"37238784\"]\n  13 -> 39 [size =\"37238784\"]\n  13 -> 41 [size =\"37238784\"]\n  13 -> 43 [size =\"37238784\"]\n  13 -> 45 [size =\"37238784\"]\n  14 [size=\"13842432\", alpha=\"0.02\", expect_size=\"6921216\"] \n  14 -> 24 [size =\"6921216\"]\n  14 -> 25 [size =\"6921216\"]\n  14 -> 26 [size =\"6921216\"]\n  14 -> 33 [size =\"6921216\"]\n  14 -> 37 [size =\"6921216\"]\n  14 -> 39 [size =\"6921216\"]\n  14 -> 43 [size =\"6921216\"]\n  14 -> 43 [size =\"6921216\"]\n  14 -> 44 [size =\"6921216\"]\n  15 [size=\"77803520\", alpha=\"0.13\", expect_size=\"38901760\"] \n  15 -> 24 [size =\"38901760\"]\n  15 -> 25 [size =\"38901760\"]\n  15 -> 26 [size =\"38901760\"]\n  15 -> 28 [size =\"38901760\"]\n  15 -> 30 [size =\"38901760\"]\n  15 -> 33 [size =\"38901760\"]\n  15 -> 34 [size =\"38901760\"]\n  15 -> 37 [size =\"38901760\"]\n  15 -> 39 [size =\"38901760\"]\n  15 -> 43 [size =\"38901760\"]\n  15 -> 44 [size =\"38901760\"]\n  16 [size=\"97585152\", alpha=\"0.07\", expect_size=\"48792576\"] \n  16 -> 23 [size =\"48792576\"]\n  16 -> 30 [size =\"48792576\"]\n  16 -> 32 [size =\"48792576\"]\n  16 -> 33 [size =\"48792576\"]\n  16 -> 34 [size =\"48792576\"]\n  16 -> 36 [size =\"48792576\"]\n  16 -> 37 [size =\"48792576\"]\n  16 -> 39 [size =\"48792576\"]\n  16 -> 43 [size =\"48792576\"]\n  16 -> 44 [size =\"48792576\"]\n  16 -> 45 [size =\"48792576\"]\n  17 [size=\"76349440\", alpha=\"0.11\", expect_size=\"38174720\"] \n  17 -> 24 [size =\"38174720\"]\n  17 -> 26 [size =\"38174720\"]\n  17 -> 29 [size =\"38174720\"]\n  17 -> 30 [size =\"38174720\"]\n  17 -> 37 [size =\"38174720\"]\n  18 [size=\"30431232\", alpha=\"0.19\", expect_size=\"15215616\"] \n  18 -> 24 [size =\"15215616\"]\n  18 -> 27 [size =\"15215616\"]\n  18 -> 28 [size =\"15215616\"]\n  18 -> 29 [size =\"15215616\"]\n  18 -> 31 [size =\"15215616\"]\n  18 -> 33 [size =\"15215616\"]\n  18 -> 36 [size =\"15215616\"]\n  18 -> 37 [size =\"15215616\"]\n  18 -> 40 [size =\"15215616\"]\n  18 -> 45 [size =\"15215616\"]\n  19 [size=\"40359936\", alpha=\"0.00\", expect_size=\"20179968\"] \n  19 -> 24 [size =\"20179968\"]\n  19 -> 25 [size =\"20179968\"]\n  19 -> 29 [size =\"20179968\"]\n  19 -> 31 [size =\"20179968\"]\n  19 -> 32 [size =\"20179968\"]\n  19 -> 33 [size =\"20179968\"]\n  19 -> 36 [size =\"20179968\"]\n  19 -> 37 [size =\"20179968\"]\n  19 -> 40 [size =\"20179968\"]\n  19 -> 44 [size =\"20179968\"]\n  19 -> 45 [size =\"20179968\"]\n  20 [size=\"92063744\", alpha=\"0.00\", expect_size=\"46031872\"] \n  20 -> 28 [size =\"46031872\"]\n  20 -> 29 [size =\"46031872\"]\n  20 -> 30 [size =\"46031872\"]\n  20 -> 31 [size =\"46031872\"]\n  20 -> 33 [size =\"46031872\"]\n  20 -> 34 [size =\"46031872\"]\n  20 -> 36 [size =\"46031872\"]\n  20 -> 40 [size =\"46031872\"]\n  20 -> 42 [size =\"46031872\"]\n  20 -> 44 [size =\"46031872\"]\n  21 [size=\"55320576\", alpha=\"0.19\", expect_size=\"27660288\"] \n  21 -> 28 [size =\"27660288\"]\n  21 -> 29 [size =\"27660288\"]\n  21 -> 30 [size =\"27660288\"]\n  21 -> 33 [size =\"27660288\"]\n  21 -> 34 [size =\"27660288\"]\n  21 -> 35 [size =\"27660288\"]\n  21 -> 36 [size =\"27660288\"]\n  21 -> 37 [size =\"27660288\"]\n  21 -> 38 [size =\"27660288\"]\n  21 -> 41 [size =\"27660288\"]\n  21 -> 44 [size =\"27660288\"]\n  21 -> 45 [size =\"27660288\"]\n  22 [size=\"50268160\", alpha=\"0.17\", expect_size=\"25134080\"] \n  22 -> 29 [size =\"25134080\"]\n  22 -> 30 [size =\"25134080\"]\n  22 -> 30 [size =\"25134080\"]\n  22 -> 31 [size =\"25134080\"]\n  22 -> 32 [size =\"25134080\"]\n  22 -> 33 [size =\"25134080\"]\n  22 -> 34 [size =\"25134080\"]\n  22 -> 35 [size =\"25134080\"]\n  22 -> 36 [size =\"25134080\"]\n  22 -> 40 [size =\"25134080\"]\n  22 -> 41 [size =\"25134080\"]\n  22 -> 44 [size =\"25134080\"]\n  22 -> 45 [size =\"25134080\"]\n  23 [size=\"81985536\", alpha=\"0.17\", expect_size=\"40992768\"] \n  24 [size=\"44224512\", alpha=\"0.03\", expect_size=\"22112256\"] \n  25 [size=\"54747136\", alpha=\"0.08\", expect_size=\"27373568\"] \n  26 [size=\"22847488\", alpha=\"0.09\", expect_size=\"11423744\"] \n  27 [size=\"54835200\", alpha=\"0.02\", expect_size=\"27417600\"] \n  28 [size=\"13455360\", alpha=\"0.06\", expect_size=\"6727680\"] \n  29 [size=\"101146624\", alpha=\"0.18\", expect_size=\"50573312\"] \n  30 [size=\"101812224\", alpha=\"0.15\", expect_size=\"50906112\"] \n  31 [size=\"102199296\", alpha=\"0.04\", expect_size=\"51099648\"] \n  32 [size=\"98717696\", alpha=\"0.13\", expect_size=\"49358848\"] \n  33 [size=\"82968576\", alpha=\"0.14\", expect_size=\"41484288\"] \n  34 [size=\"66934784\", alpha=\"0.17\", expect_size=\"33467392\"] \n  35 [size=\"81311744\", alpha=\"0.14\", expect_size=\"40655872\"] \n  36 [size=\"23963648\", alpha=\"0.09\", expect_size=\"11981824\"] \n  37 [size=\"67543040\", alpha=\"0.19\", expect_size=\"33771520\"] \n  38 [size=\"75859968\", alpha=\"0.12\", expect_size=\"37929984\"] \n  39 [size=\"102723584\", alpha=\"0.12\", expect_size=\"51361792\"] \n  40 [size=\"92217344\", alpha=\"0.09\", expect_size=\"46108672\"] \n  41 [size=\"69457920\", alpha=\"0.16\", expect_size=\"34728960\"] \n  42 [size=\"89061376\", alpha=\"0.11\", expect_size=\"44530688\"] \n  43 [size=\"53837824\", alpha=\"0.01\", expect_size=\"26918912\"] \n  44 [size=\"27779072\", alpha=\"0.19\", expect_size=\"13889536\"] \n  45 [size=\"14241792\", alpha=\"0.06\", expect_size=\"7120896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51349504\", alpha=\"0.13\", expect_size=\"25674752\"] \n  1 -> 5 [size =\"25674752\"]\n  1 -> 7 [size =\"25674752\"]\n  2 [size=\"40138752\", alpha=\"0.08\", expect_size=\"20069376\"] \n  2 -> 6 [size =\"20069376\"]\n  3 [size=\"102000640\", alpha=\"0.17\", expect_size=\"51000320\"] \n  3 -> 6 [size =\"51000320\"]\n  3 -> 7 [size =\"51000320\"]\n  4 [size=\"16484352\", alpha=\"0.04\", expect_size=\"8242176\"] \n  4 -> 6 [size =\"8242176\"]\n  5 [size=\"41756672\", alpha=\"0.06\", expect_size=\"20878336\"] \n  5 -> 8 [size =\"20878336\"]\n  5 -> 9 [size =\"20878336\"]\n  5 -> 12 [size =\"20878336\"]\n  5 -> 13 [size =\"20878336\"]\n  6 [size=\"88569856\", alpha=\"0.17\", expect_size=\"44284928\"] \n  6 -> 10 [size =\"44284928\"]\n  6 -> 13 [size =\"44284928\"]\n  7 [size=\"54804480\", alpha=\"0.08\", expect_size=\"27402240\"] \n  7 -> 10 [size =\"27402240\"]\n  7 -> 11 [size =\"27402240\"]\n  8 [size=\"32200704\", alpha=\"0.11\", expect_size=\"16100352\"] \n  8 -> 14 [size =\"16100352\"]\n  8 -> 16 [size =\"16100352\"]\n  9 [size=\"85760000\", alpha=\"0.06\", expect_size=\"42880000\"] \n  9 -> 16 [size =\"42880000\"]\n  9 -> 16 [size =\"42880000\"]\n  10 [size=\"24696832\", alpha=\"0.02\", expect_size=\"12348416\"] \n  10 -> 16 [size =\"12348416\"]\n  10 -> 18 [size =\"12348416\"]\n  11 [size=\"47187968\", alpha=\"0.09\", expect_size=\"23593984\"] \n  11 -> 15 [size =\"23593984\"]\n  12 [size=\"14112768\", alpha=\"0.15\", expect_size=\"7056384\"] \n  12 -> 17 [size =\"7056384\"]\n  13 [size=\"52002816\", alpha=\"0.16\", expect_size=\"26001408\"] \n  13 -> 14 [size =\"26001408\"]\n  13 -> 15 [size =\"26001408\"]\n  13 -> 17 [size =\"26001408\"]\n  14 [size=\"38666240\", alpha=\"0.18\", expect_size=\"19333120\"] \n  14 -> 19 [size =\"19333120\"]\n  14 -> 21 [size =\"19333120\"]\n  14 -> 24 [size =\"19333120\"]\n  14 -> 25 [size =\"19333120\"]\n  15 [size=\"57757696\", alpha=\"0.17\", expect_size=\"28878848\"] \n  15 -> 21 [size =\"28878848\"]\n  15 -> 22 [size =\"28878848\"]\n  15 -> 25 [size =\"28878848\"]\n  16 [size=\"87320576\", alpha=\"0.08\", expect_size=\"43660288\"] \n  16 -> 19 [size =\"43660288\"]\n  16 -> 22 [size =\"43660288\"]\n  16 -> 23 [size =\"43660288\"]\n  17 [size=\"71075840\", alpha=\"0.13\", expect_size=\"35537920\"] \n  17 -> 19 [size =\"35537920\"]\n  17 -> 22 [size =\"35537920\"]\n  18 [size=\"13961216\", alpha=\"0.03\", expect_size=\"6980608\"] \n  18 -> 20 [size =\"6980608\"]\n  18 -> 24 [size =\"6980608\"]\n  18 -> 25 [size =\"6980608\"]\n  19 [size=\"64307200\", alpha=\"0.03\", expect_size=\"32153600\"] \n  19 -> 27 [size =\"32153600\"]\n  19 -> 28 [size =\"32153600\"]\n  20 [size=\"91955200\", alpha=\"0.15\", expect_size=\"45977600\"] \n  20 -> 27 [size =\"45977600\"]\n  20 -> 30 [size =\"45977600\"]\n  21 [size=\"100534272\", alpha=\"0.15\", expect_size=\"50267136\"] \n  22 [size=\"50257920\", alpha=\"0.02\", expect_size=\"25128960\"] \n  22 -> 26 [size =\"25128960\"]\n  22 -> 27 [size =\"25128960\"]\n  22 -> 29 [size =\"25128960\"]\n  23 [size=\"26513408\", alpha=\"0.09\", expect_size=\"13256704\"] \n  23 -> 29 [size =\"13256704\"]\n  23 -> 30 [size =\"13256704\"]\n  24 [size=\"103997440\", alpha=\"0.16\", expect_size=\"51998720\"] \n  24 -> 29 [size =\"51998720\"]\n  25 [size=\"96399360\", alpha=\"0.10\", expect_size=\"48199680\"] \n  25 -> 27 [size =\"48199680\"]\n  25 -> 29 [size =\"48199680\"]\n  26 [size=\"81135616\", alpha=\"0.01\", expect_size=\"40567808\"] \n  26 -> 34 [size =\"40567808\"]\n  26 -> 35 [size =\"40567808\"]\n  27 [size=\"24684544\", alpha=\"0.01\", expect_size=\"12342272\"] \n  27 -> 31 [size =\"12342272\"]\n  27 -> 34 [size =\"12342272\"]\n  27 -> 35 [size =\"12342272\"]\n  28 [size=\"84549632\", alpha=\"0.06\", expect_size=\"42274816\"] \n  28 -> 31 [size =\"42274816\"]\n  28 -> 32 [size =\"42274816\"]\n  28 -> 33 [size =\"42274816\"]\n  28 -> 35 [size =\"42274816\"]\n  29 [size=\"98359296\", alpha=\"0.07\", expect_size=\"49179648\"] \n  29 -> 33 [size =\"49179648\"]\n  29 -> 36 [size =\"49179648\"]\n  30 [size=\"16658432\", alpha=\"0.11\", expect_size=\"8329216\"] \n  30 -> 32 [size =\"8329216\"]\n  30 -> 33 [size =\"8329216\"]\n  30 -> 34 [size =\"8329216\"]\n  31 [size=\"85901312\", alpha=\"0.02\", expect_size=\"42950656\"] \n  31 -> 38 [size =\"42950656\"]\n  31 -> 41 [size =\"42950656\"]\n  31 -> 43 [size =\"42950656\"]\n  32 [size=\"63836160\", alpha=\"0.14\", expect_size=\"31918080\"] \n  32 -> 37 [size =\"31918080\"]\n  32 -> 38 [size =\"31918080\"]\n  32 -> 40 [size =\"31918080\"]\n  33 [size=\"74491904\", alpha=\"0.15\", expect_size=\"37245952\"] \n  33 -> 39 [size =\"37245952\"]\n  34 [size=\"20639744\", alpha=\"0.03\", expect_size=\"10319872\"] \n  34 -> 37 [size =\"10319872\"]\n  34 -> 38 [size =\"10319872\"]\n  34 -> 39 [size =\"10319872\"]\n  34 -> 42 [size =\"10319872\"]\n  35 [size=\"97021952\", alpha=\"0.20\", expect_size=\"48510976\"] \n  35 -> 37 [size =\"48510976\"]\n  35 -> 40 [size =\"48510976\"]\n  36 [size=\"51795968\", alpha=\"0.13\", expect_size=\"25897984\"] \n  36 -> 37 [size =\"25897984\"]\n  36 -> 38 [size =\"25897984\"]\n  37 [size=\"57419776\", alpha=\"0.19\", expect_size=\"28709888\"] \n  38 [size=\"63842304\", alpha=\"0.06\", expect_size=\"31921152\"] \n  39 [size=\"92778496\", alpha=\"0.04\", expect_size=\"46389248\"] \n  40 [size=\"30763008\", alpha=\"0.00\", expect_size=\"15381504\"] \n  40 -> 45 [size =\"15381504\"]\n  41 [size=\"80746496\", alpha=\"0.15\", expect_size=\"40373248\"] \n  41 -> 44 [size =\"40373248\"]\n  42 [size=\"90693632\", alpha=\"0.18\", expect_size=\"45346816\"] \n  42 -> 45 [size =\"45346816\"]\n  43 [size=\"64231424\", alpha=\"0.04\", expect_size=\"32115712\"] \n  43 -> 44 [size =\"32115712\"]\n  43 -> 45 [size =\"32115712\"]\n  44 [size=\"42876928\", alpha=\"0.11\", expect_size=\"21438464\"] \n  45 [size=\"54810624\", alpha=\"0.15\", expect_size=\"27405312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43794432\", alpha=\"0.08\", expect_size=\"21897216\"] \n  1 -> 10 [size =\"21897216\"]\n  2 [size=\"55568384\", alpha=\"0.18\", expect_size=\"27784192\"] \n  2 -> 11 [size =\"27784192\"]\n  2 -> 14 [size =\"27784192\"]\n  2 -> 15 [size =\"27784192\"]\n  2 -> 16 [size =\"27784192\"]\n  3 [size=\"47292416\", alpha=\"0.19\", expect_size=\"23646208\"] \n  4 [size=\"94818304\", alpha=\"0.19\", expect_size=\"47409152\"] \n  4 -> 11 [size =\"47409152\"]\n  4 -> 12 [size =\"47409152\"]\n  4 -> 16 [size =\"47409152\"]\n  5 [size=\"43968512\", alpha=\"0.17\", expect_size=\"21984256\"] \n  5 -> 15 [size =\"21984256\"]\n  6 [size=\"63793152\", alpha=\"0.01\", expect_size=\"31896576\"] \n  6 -> 10 [size =\"31896576\"]\n  6 -> 12 [size =\"31896576\"]\n  6 -> 13 [size =\"31896576\"]\n  7 [size=\"34902016\", alpha=\"0.19\", expect_size=\"17451008\"] \n  7 -> 10 [size =\"17451008\"]\n  7 -> 12 [size =\"17451008\"]\n  8 [size=\"61083648\", alpha=\"0.19\", expect_size=\"30541824\"] \n  8 -> 9 [size =\"30541824\"]\n  9 [size=\"58034176\", alpha=\"0.01\", expect_size=\"29017088\"] \n  9 -> 18 [size =\"29017088\"]\n  9 -> 19 [size =\"29017088\"]\n  10 [size=\"23207936\", alpha=\"0.08\", expect_size=\"11603968\"] \n  10 -> 18 [size =\"11603968\"]\n  10 -> 19 [size =\"11603968\"]\n  11 [size=\"13027328\", alpha=\"0.20\", expect_size=\"6513664\"] \n  11 -> 17 [size =\"6513664\"]\n  11 -> 19 [size =\"6513664\"]\n  12 [size=\"50798592\", alpha=\"0.02\", expect_size=\"25399296\"] \n  12 -> 17 [size =\"25399296\"]\n  12 -> 18 [size =\"25399296\"]\n  12 -> 19 [size =\"25399296\"]\n  13 [size=\"40480768\", alpha=\"0.10\", expect_size=\"20240384\"] \n  13 -> 20 [size =\"20240384\"]\n  14 [size=\"35104768\", alpha=\"0.19\", expect_size=\"17552384\"] \n  15 [size=\"28565504\", alpha=\"0.18\", expect_size=\"14282752\"] \n  15 -> 18 [size =\"14282752\"]\n  15 -> 19 [size =\"14282752\"]\n  16 [size=\"12965888\", alpha=\"0.14\", expect_size=\"6482944\"] \n  17 [size=\"16211968\", alpha=\"0.12\", expect_size=\"8105984\"] \n  17 -> 23 [size =\"8105984\"]\n  18 [size=\"104183808\", alpha=\"0.11\", expect_size=\"52091904\"] \n  18 -> 21 [size =\"52091904\"]\n  18 -> 22 [size =\"52091904\"]\n  19 [size=\"97675264\", alpha=\"0.14\", expect_size=\"48837632\"] \n  19 -> 22 [size =\"48837632\"]\n  20 [size=\"102424576\", alpha=\"0.13\", expect_size=\"51212288\"] \n  20 -> 21 [size =\"51212288\"]\n  21 [size=\"44627968\", alpha=\"0.19\", expect_size=\"22313984\"] \n  21 -> 24 [size =\"22313984\"]\n  21 -> 25 [size =\"22313984\"]\n  21 -> 26 [size =\"22313984\"]\n  21 -> 28 [size =\"22313984\"]\n  22 [size=\"44087296\", alpha=\"0.15\", expect_size=\"22043648\"] \n  22 -> 26 [size =\"22043648\"]\n  22 -> 27 [size =\"22043648\"]\n  23 [size=\"55052288\", alpha=\"0.18\", expect_size=\"27526144\"] \n  23 -> 25 [size =\"27526144\"]\n  23 -> 29 [size =\"27526144\"]\n  24 [size=\"103294976\", alpha=\"0.20\", expect_size=\"51647488\"] \n  24 -> 36 [size =\"51647488\"]\n  25 [size=\"100311040\", alpha=\"0.08\", expect_size=\"50155520\"] \n  25 -> 30 [size =\"50155520\"]\n  25 -> 31 [size =\"50155520\"]\n  25 -> 32 [size =\"50155520\"]\n  25 -> 36 [size =\"50155520\"]\n  26 [size=\"92448768\", alpha=\"0.08\", expect_size=\"46224384\"] \n  26 -> 30 [size =\"46224384\"]\n  26 -> 31 [size =\"46224384\"]\n  26 -> 34 [size =\"46224384\"]\n  26 -> 35 [size =\"46224384\"]\n  27 [size=\"65400832\", alpha=\"0.12\", expect_size=\"32700416\"] \n  27 -> 31 [size =\"32700416\"]\n  27 -> 33 [size =\"32700416\"]\n  27 -> 35 [size =\"32700416\"]\n  28 [size=\"26327040\", alpha=\"0.08\", expect_size=\"13163520\"] \n  28 -> 30 [size =\"13163520\"]\n  28 -> 31 [size =\"13163520\"]\n  28 -> 32 [size =\"13163520\"]\n  28 -> 33 [size =\"13163520\"]\n  28 -> 35 [size =\"13163520\"]\n  29 [size=\"79382528\", alpha=\"0.14\", expect_size=\"39691264\"] \n  29 -> 30 [size =\"39691264\"]\n  29 -> 32 [size =\"39691264\"]\n  29 -> 33 [size =\"39691264\"]\n  29 -> 34 [size =\"39691264\"]\n  30 [size=\"52377600\", alpha=\"0.02\", expect_size=\"26188800\"] \n  30 -> 39 [size =\"26188800\"]\n  31 [size=\"20580352\", alpha=\"0.11\", expect_size=\"10290176\"] \n  31 -> 38 [size =\"10290176\"]\n  31 -> 39 [size =\"10290176\"]\n  32 [size=\"17307648\", alpha=\"0.08\", expect_size=\"8653824\"] \n  32 -> 38 [size =\"8653824\"]\n  32 -> 39 [size =\"8653824\"]\n  33 [size=\"87640064\", alpha=\"0.12\", expect_size=\"43820032\"] \n  33 -> 39 [size =\"43820032\"]\n  33 -> 40 [size =\"43820032\"]\n  33 -> 41 [size =\"43820032\"]\n  34 [size=\"79642624\", alpha=\"0.01\", expect_size=\"39821312\"] \n  34 -> 41 [size =\"39821312\"]\n  35 [size=\"77649920\", alpha=\"0.14\", expect_size=\"38824960\"] \n  36 [size=\"20772864\", alpha=\"0.07\", expect_size=\"10386432\"] \n  36 -> 37 [size =\"10386432\"]\n  36 -> 38 [size =\"10386432\"]\n  36 -> 39 [size =\"10386432\"]\n  36 -> 41 [size =\"10386432\"]\n  37 [size=\"56692736\", alpha=\"0.02\", expect_size=\"28346368\"] \n  37 -> 43 [size =\"28346368\"]\n  38 [size=\"21084160\", alpha=\"0.16\", expect_size=\"10542080\"] \n  38 -> 43 [size =\"10542080\"]\n  38 -> 44 [size =\"10542080\"]\n  39 [size=\"58914816\", alpha=\"0.09\", expect_size=\"29457408\"] \n  39 -> 42 [size =\"29457408\"]\n  39 -> 43 [size =\"29457408\"]\n  40 [size=\"28995584\", alpha=\"0.02\", expect_size=\"14497792\"] \n  40 -> 45 [size =\"14497792\"]\n  41 [size=\"38418432\", alpha=\"0.01\", expect_size=\"19209216\"] \n  41 -> 45 [size =\"19209216\"]\n  42 [size=\"89726976\", alpha=\"0.08\", expect_size=\"44863488\"] \n  43 [size=\"34490368\", alpha=\"0.04\", expect_size=\"17245184\"] \n  44 [size=\"91449344\", alpha=\"0.20\", expect_size=\"45724672\"] \n  45 [size=\"96477184\", alpha=\"0.15\", expect_size=\"48238592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174196053\", alpha=\"0.11\", expect_size=\"52258816\"] \n  1 -> 16 [size =\"52258816\"]\n  1 -> 20 [size =\"52258816\"]\n  1 -> 24 [size =\"52258816\"]\n  1 -> 26 [size =\"52258816\"]\n  1 -> 27 [size =\"52258816\"]\n  2 [size=\"92822187\", alpha=\"0.15\", expect_size=\"27846656\"] \n  2 -> 16 [size =\"27846656\"]\n  2 -> 21 [size =\"27846656\"]\n  2 -> 23 [size =\"27846656\"]\n  2 -> 24 [size =\"27846656\"]\n  2 -> 25 [size =\"27846656\"]\n  2 -> 27 [size =\"27846656\"]\n  3 [size=\"82807467\", alpha=\"0.08\", expect_size=\"24842240\"] \n  3 -> 16 [size =\"24842240\"]\n  3 -> 17 [size =\"24842240\"]\n  3 -> 22 [size =\"24842240\"]\n  3 -> 24 [size =\"24842240\"]\n  3 -> 25 [size =\"24842240\"]\n  3 -> 27 [size =\"24842240\"]\n  4 [size=\"173124267\", alpha=\"0.16\", expect_size=\"51937280\"] \n  4 -> 16 [size =\"51937280\"]\n  4 -> 22 [size =\"51937280\"]\n  4 -> 22 [size =\"51937280\"]\n  4 -> 25 [size =\"51937280\"]\n  5 [size=\"143404373\", alpha=\"0.17\", expect_size=\"43021312\"] \n  5 -> 18 [size =\"43021312\"]\n  5 -> 22 [size =\"43021312\"]\n  5 -> 24 [size =\"43021312\"]\n  5 -> 25 [size =\"43021312\"]\n  6 [size=\"56415573\", alpha=\"0.01\", expect_size=\"16924672\"] \n  6 -> 18 [size =\"16924672\"]\n  6 -> 19 [size =\"16924672\"]\n  6 -> 21 [size =\"16924672\"]\n  7 [size=\"132614827\", alpha=\"0.15\", expect_size=\"39784448\"] \n  7 -> 16 [size =\"39784448\"]\n  7 -> 21 [size =\"39784448\"]\n  8 [size=\"93429760\", alpha=\"0.05\", expect_size=\"28028928\"] \n  8 -> 18 [size =\"28028928\"]\n  8 -> 27 [size =\"28028928\"]\n  9 [size=\"33972907\", alpha=\"0.14\", expect_size=\"10191872\"] \n  9 -> 22 [size =\"10191872\"]\n  9 -> 27 [size =\"10191872\"]\n  10 [size=\"146090667\", alpha=\"0.09\", expect_size=\"43827200\"] \n  10 -> 16 [size =\"43827200\"]\n  10 -> 18 [size =\"43827200\"]\n  10 -> 23 [size =\"43827200\"]\n  11 [size=\"107731627\", alpha=\"0.14\", expect_size=\"32319488\"] \n  11 -> 20 [size =\"32319488\"]\n  11 -> 23 [size =\"32319488\"]\n  11 -> 23 [size =\"32319488\"]\n  11 -> 27 [size =\"32319488\"]\n  12 [size=\"37771947\", alpha=\"0.13\", expect_size=\"11331584\"] \n  12 -> 21 [size =\"11331584\"]\n  12 -> 22 [size =\"11331584\"]\n  12 -> 26 [size =\"11331584\"]\n  12 -> 27 [size =\"11331584\"]\n  13 [size=\"159054507\", alpha=\"0.19\", expect_size=\"47716352\"] \n  13 -> 16 [size =\"47716352\"]\n  13 -> 19 [size =\"47716352\"]\n  13 -> 26 [size =\"47716352\"]\n  14 [size=\"67614720\", alpha=\"0.17\", expect_size=\"20284416\"] \n  14 -> 20 [size =\"20284416\"]\n  14 -> 21 [size =\"20284416\"]\n  14 -> 24 [size =\"20284416\"]\n  15 [size=\"37283840\", alpha=\"0.05\", expect_size=\"11185152\"] \n  15 -> 16 [size =\"11185152\"]\n  15 -> 20 [size =\"11185152\"]\n  15 -> 21 [size =\"11185152\"]\n  15 -> 22 [size =\"11185152\"]\n  15 -> 23 [size =\"11185152\"]\n  15 -> 24 [size =\"11185152\"]\n  16 [size=\"168645973\", alpha=\"0.15\", expect_size=\"50593792\"] \n  16 -> 33 [size =\"50593792\"]\n  16 -> 35 [size =\"50593792\"]\n  16 -> 36 [size =\"50593792\"]\n  16 -> 41 [size =\"50593792\"]\n  16 -> 42 [size =\"50593792\"]\n  17 [size=\"18722133\", alpha=\"0.11\", expect_size=\"5616640\"] \n  17 -> 29 [size =\"5616640\"]\n  17 -> 30 [size =\"5616640\"]\n  17 -> 31 [size =\"5616640\"]\n  17 -> 36 [size =\"5616640\"]\n  17 -> 37 [size =\"5616640\"]\n  17 -> 40 [size =\"5616640\"]\n  17 -> 42 [size =\"5616640\"]\n  17 -> 43 [size =\"5616640\"]\n  18 [size=\"135748267\", alpha=\"0.04\", expect_size=\"40724480\"] \n  18 -> 29 [size =\"40724480\"]\n  18 -> 30 [size =\"40724480\"]\n  18 -> 32 [size =\"40724480\"]\n  18 -> 34 [size =\"40724480\"]\n  18 -> 37 [size =\"40724480\"]\n  18 -> 39 [size =\"40724480\"]\n  18 -> 41 [size =\"40724480\"]\n  19 [size=\"17701547\", alpha=\"0.17\", expect_size=\"5310464\"] \n  19 -> 34 [size =\"5310464\"]\n  19 -> 36 [size =\"5310464\"]\n  19 -> 42 [size =\"5310464\"]\n  20 [size=\"126481067\", alpha=\"0.16\", expect_size=\"37944320\"] \n  20 -> 29 [size =\"37944320\"]\n  20 -> 30 [size =\"37944320\"]\n  20 -> 33 [size =\"37944320\"]\n  20 -> 34 [size =\"37944320\"]\n  20 -> 36 [size =\"37944320\"]\n  20 -> 39 [size =\"37944320\"]\n  20 -> 40 [size =\"37944320\"]\n  21 [size=\"42984107\", alpha=\"0.15\", expect_size=\"12895232\"] \n  21 -> 29 [size =\"12895232\"]\n  21 -> 33 [size =\"12895232\"]\n  21 -> 33 [size =\"12895232\"]\n  21 -> 40 [size =\"12895232\"]\n  21 -> 41 [size =\"12895232\"]\n  22 [size=\"153838933\", alpha=\"0.03\", expect_size=\"46151680\"] \n  22 -> 28 [size =\"46151680\"]\n  22 -> 29 [size =\"46151680\"]\n  22 -> 42 [size =\"46151680\"]\n  23 [size=\"101068800\", alpha=\"0.20\", expect_size=\"30320640\"] \n  23 -> 28 [size =\"30320640\"]\n  23 -> 37 [size =\"30320640\"]\n  24 [size=\"94958933\", alpha=\"0.16\", expect_size=\"28487680\"] \n  24 -> 32 [size =\"28487680\"]\n  24 -> 33 [size =\"28487680\"]\n  24 -> 38 [size =\"28487680\"]\n  24 -> 42 [size =\"28487680\"]\n  25 [size=\"68014080\", alpha=\"0.09\", expect_size=\"20404224\"] \n  25 -> 29 [size =\"20404224\"]\n  25 -> 34 [size =\"20404224\"]\n  25 -> 36 [size =\"20404224\"]\n  25 -> 41 [size =\"20404224\"]\n  26 [size=\"106437973\", alpha=\"0.06\", expect_size=\"31931392\"] \n  26 -> 28 [size =\"31931392\"]\n  26 -> 30 [size =\"31931392\"]\n  27 [size=\"64935253\", alpha=\"0.18\", expect_size=\"19480576\"] \n  27 -> 33 [size =\"19480576\"]\n  27 -> 36 [size =\"19480576\"]\n  27 -> 41 [size =\"19480576\"]\n  27 -> 42 [size =\"19480576\"]\n  28 [size=\"148981760\", alpha=\"0.00\", expect_size=\"44694528\"] \n  28 -> 45 [size =\"44694528\"]\n  29 [size=\"23497387\", alpha=\"0.04\", expect_size=\"7049216\"] \n  29 -> 45 [size =\"7049216\"]\n  30 [size=\"157791573\", alpha=\"0.04\", expect_size=\"47337472\"] \n  30 -> 45 [size =\"47337472\"]\n  31 [size=\"125890560\", alpha=\"0.16\", expect_size=\"37767168\"] \n  31 -> 45 [size =\"37767168\"]\n  32 [size=\"84507307\", alpha=\"0.10\", expect_size=\"25352192\"] \n  33 [size=\"108997973\", alpha=\"0.02\", expect_size=\"32699392\"] \n  34 [size=\"107400533\", alpha=\"0.01\", expect_size=\"32220160\"] \n  35 [size=\"78086827\", alpha=\"0.02\", expect_size=\"23426048\"] \n  36 [size=\"146981547\", alpha=\"0.02\", expect_size=\"44094464\"] \n  36 -> 45 [size =\"44094464\"]\n  37 [size=\"38454613\", alpha=\"0.03\", expect_size=\"11536384\"] \n  38 [size=\"24930987\", alpha=\"0.18\", expect_size=\"7479296\"] \n  39 [size=\"25077760\", alpha=\"0.14\", expect_size=\"7523328\"] \n  40 [size=\"55394987\", alpha=\"0.03\", expect_size=\"16618496\"] \n  41 [size=\"87207253\", alpha=\"0.16\", expect_size=\"26162176\"] \n  41 -> 44 [size =\"26162176\"]\n  41 -> 45 [size =\"26162176\"]\n  42 [size=\"53490347\", alpha=\"0.06\", expect_size=\"16047104\"] \n  42 -> 45 [size =\"16047104\"]\n  43 [size=\"131826347\", alpha=\"0.07\", expect_size=\"39547904\"] \n  43 -> 45 [size =\"39547904\"]\n  44 [size=\"149224107\", alpha=\"0.17\", expect_size=\"44767232\"] \n  45 [size=\"155818667\", alpha=\"0.14\", expect_size=\"46745600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156702720\", alpha=\"0.07\", expect_size=\"47010816\"] \n  1 -> 32 [size =\"47010816\"]\n  1 -> 35 [size =\"47010816\"]\n  1 -> 36 [size =\"47010816\"]\n  1 -> 38 [size =\"47010816\"]\n  1 -> 40 [size =\"47010816\"]\n  1 -> 41 [size =\"47010816\"]\n  2 [size=\"45810347\", alpha=\"0.11\", expect_size=\"13743104\"] \n  2 -> 32 [size =\"13743104\"]\n  2 -> 34 [size =\"13743104\"]\n  2 -> 35 [size =\"13743104\"]\n  2 -> 36 [size =\"13743104\"]\n  2 -> 38 [size =\"13743104\"]\n  2 -> 41 [size =\"13743104\"]\n  3 [size=\"29143040\", alpha=\"0.09\", expect_size=\"8742912\"] \n  3 -> 29 [size =\"8742912\"]\n  3 -> 30 [size =\"8742912\"]\n  3 -> 32 [size =\"8742912\"]\n  3 -> 34 [size =\"8742912\"]\n  3 -> 35 [size =\"8742912\"]\n  3 -> 36 [size =\"8742912\"]\n  3 -> 38 [size =\"8742912\"]\n  3 -> 40 [size =\"8742912\"]\n  3 -> 42 [size =\"8742912\"]\n  3 -> 44 [size =\"8742912\"]\n  4 [size=\"37075627\", alpha=\"0.02\", expect_size=\"11122688\"] \n  4 -> 36 [size =\"11122688\"]\n  4 -> 37 [size =\"11122688\"]\n  4 -> 38 [size =\"11122688\"]\n  4 -> 42 [size =\"11122688\"]\n  5 [size=\"73448107\", alpha=\"0.03\", expect_size=\"22034432\"] \n  5 -> 37 [size =\"22034432\"]\n  5 -> 43 [size =\"22034432\"]\n  6 [size=\"88299520\", alpha=\"0.12\", expect_size=\"26489856\"] \n  6 -> 30 [size =\"26489856\"]\n  6 -> 32 [size =\"26489856\"]\n  6 -> 33 [size =\"26489856\"]\n  6 -> 38 [size =\"26489856\"]\n  6 -> 40 [size =\"26489856\"]\n  6 -> 43 [size =\"26489856\"]\n  7 [size=\"118777173\", alpha=\"0.03\", expect_size=\"35633152\"] \n  7 -> 30 [size =\"35633152\"]\n  7 -> 38 [size =\"35633152\"]\n  7 -> 41 [size =\"35633152\"]\n  8 [size=\"103898453\", alpha=\"0.09\", expect_size=\"31169536\"] \n  8 -> 31 [size =\"31169536\"]\n  8 -> 32 [size =\"31169536\"]\n  8 -> 42 [size =\"31169536\"]\n  8 -> 45 [size =\"31169536\"]\n  9 [size=\"32931840\", alpha=\"0.16\", expect_size=\"9879552\"] \n  9 -> 31 [size =\"9879552\"]\n  9 -> 33 [size =\"9879552\"]\n  9 -> 37 [size =\"9879552\"]\n  9 -> 42 [size =\"9879552\"]\n  9 -> 43 [size =\"9879552\"]\n  9 -> 44 [size =\"9879552\"]\n  10 [size=\"142114133\", alpha=\"0.05\", expect_size=\"42634240\"] \n  10 -> 30 [size =\"42634240\"]\n  10 -> 32 [size =\"42634240\"]\n  10 -> 33 [size =\"42634240\"]\n  10 -> 37 [size =\"42634240\"]\n  10 -> 40 [size =\"42634240\"]\n  10 -> 43 [size =\"42634240\"]\n  11 [size=\"82425173\", alpha=\"0.13\", expect_size=\"24727552\"] \n  11 -> 33 [size =\"24727552\"]\n  11 -> 35 [size =\"24727552\"]\n  11 -> 36 [size =\"24727552\"]\n  11 -> 41 [size =\"24727552\"]\n  11 -> 42 [size =\"24727552\"]\n  11 -> 43 [size =\"24727552\"]\n  12 [size=\"140253867\", alpha=\"0.18\", expect_size=\"42076160\"] \n  12 -> 29 [size =\"42076160\"]\n  12 -> 32 [size =\"42076160\"]\n  12 -> 33 [size =\"42076160\"]\n  12 -> 34 [size =\"42076160\"]\n  12 -> 36 [size =\"42076160\"]\n  12 -> 38 [size =\"42076160\"]\n  12 -> 40 [size =\"42076160\"]\n  13 [size=\"73079467\", alpha=\"0.17\", expect_size=\"21923840\"] \n  13 -> 31 [size =\"21923840\"]\n  13 -> 32 [size =\"21923840\"]\n  13 -> 34 [size =\"21923840\"]\n  13 -> 37 [size =\"21923840\"]\n  13 -> 38 [size =\"21923840\"]\n  13 -> 38 [size =\"21923840\"]\n  14 [size=\"142107307\", alpha=\"0.12\", expect_size=\"42632192\"] \n  14 -> 33 [size =\"42632192\"]\n  14 -> 34 [size =\"42632192\"]\n  14 -> 36 [size =\"42632192\"]\n  14 -> 38 [size =\"42632192\"]\n  14 -> 43 [size =\"42632192\"]\n  14 -> 44 [size =\"42632192\"]\n  14 -> 45 [size =\"42632192\"]\n  15 [size=\"157610667\", alpha=\"0.16\", expect_size=\"47283200\"] \n  15 -> 30 [size =\"47283200\"]\n  15 -> 32 [size =\"47283200\"]\n  15 -> 34 [size =\"47283200\"]\n  15 -> 35 [size =\"47283200\"]\n  15 -> 42 [size =\"47283200\"]\n  15 -> 44 [size =\"47283200\"]\n  16 [size=\"27112107\", alpha=\"0.01\", expect_size=\"8133632\"] \n  16 -> 32 [size =\"8133632\"]\n  16 -> 37 [size =\"8133632\"]\n  16 -> 40 [size =\"8133632\"]\n  16 -> 42 [size =\"8133632\"]\n  16 -> 45 [size =\"8133632\"]\n  17 [size=\"118176427\", alpha=\"0.04\", expect_size=\"35452928\"] \n  17 -> 31 [size =\"35452928\"]\n  17 -> 32 [size =\"35452928\"]\n  17 -> 33 [size =\"35452928\"]\n  18 [size=\"141271040\", alpha=\"0.18\", expect_size=\"42381312\"] \n  18 -> 29 [size =\"42381312\"]\n  18 -> 31 [size =\"42381312\"]\n  18 -> 37 [size =\"42381312\"]\n  18 -> 38 [size =\"42381312\"]\n  18 -> 43 [size =\"42381312\"]\n  19 [size=\"55138987\", alpha=\"0.01\", expect_size=\"16541696\"] \n  19 -> 32 [size =\"16541696\"]\n  19 -> 36 [size =\"16541696\"]\n  19 -> 38 [size =\"16541696\"]\n  19 -> 38 [size =\"16541696\"]\n  19 -> 43 [size =\"16541696\"]\n  19 -> 44 [size =\"16541696\"]\n  20 [size=\"24122027\", alpha=\"0.00\", expect_size=\"7236608\"] \n  20 -> 36 [size =\"7236608\"]\n  20 -> 41 [size =\"7236608\"]\n  20 -> 45 [size =\"7236608\"]\n  21 [size=\"61033813\", alpha=\"0.17\", expect_size=\"18310144\"] \n  21 -> 30 [size =\"18310144\"]\n  21 -> 31 [size =\"18310144\"]\n  21 -> 36 [size =\"18310144\"]\n  21 -> 40 [size =\"18310144\"]\n  21 -> 41 [size =\"18310144\"]\n  21 -> 45 [size =\"18310144\"]\n  22 [size=\"160699733\", alpha=\"0.17\", expect_size=\"48209920\"] \n  22 -> 31 [size =\"48209920\"]\n  22 -> 33 [size =\"48209920\"]\n  22 -> 36 [size =\"48209920\"]\n  22 -> 38 [size =\"48209920\"]\n  22 -> 40 [size =\"48209920\"]\n  22 -> 45 [size =\"48209920\"]\n  23 [size=\"147186347\", alpha=\"0.18\", expect_size=\"44155904\"] \n  23 -> 31 [size =\"44155904\"]\n  23 -> 32 [size =\"44155904\"]\n  23 -> 33 [size =\"44155904\"]\n  23 -> 36 [size =\"44155904\"]\n  23 -> 37 [size =\"44155904\"]\n  23 -> 39 [size =\"44155904\"]\n  23 -> 40 [size =\"44155904\"]\n  23 -> 45 [size =\"44155904\"]\n  24 [size=\"124883627\", alpha=\"0.02\", expect_size=\"37465088\"] \n  24 -> 31 [size =\"37465088\"]\n  24 -> 37 [size =\"37465088\"]\n  24 -> 38 [size =\"37465088\"]\n  24 -> 40 [size =\"37465088\"]\n  24 -> 45 [size =\"37465088\"]\n  25 [size=\"59422720\", alpha=\"0.13\", expect_size=\"17826816\"] \n  25 -> 30 [size =\"17826816\"]\n  25 -> 31 [size =\"17826816\"]\n  25 -> 32 [size =\"17826816\"]\n  25 -> 33 [size =\"17826816\"]\n  25 -> 34 [size =\"17826816\"]\n  25 -> 37 [size =\"17826816\"]\n  25 -> 40 [size =\"17826816\"]\n  26 [size=\"30392320\", alpha=\"0.13\", expect_size=\"9117696\"] \n  26 -> 31 [size =\"9117696\"]\n  26 -> 32 [size =\"9117696\"]\n  26 -> 35 [size =\"9117696\"]\n  26 -> 37 [size =\"9117696\"]\n  26 -> 40 [size =\"9117696\"]\n  26 -> 45 [size =\"9117696\"]\n  27 [size=\"37195093\", alpha=\"0.06\", expect_size=\"11158528\"] \n  27 -> 32 [size =\"11158528\"]\n  27 -> 33 [size =\"11158528\"]\n  27 -> 35 [size =\"11158528\"]\n  27 -> 37 [size =\"11158528\"]\n  27 -> 38 [size =\"11158528\"]\n  27 -> 40 [size =\"11158528\"]\n  27 -> 41 [size =\"11158528\"]\n  28 [size=\"69584213\", alpha=\"0.10\", expect_size=\"20875264\"] \n  28 -> 32 [size =\"20875264\"]\n  28 -> 35 [size =\"20875264\"]\n  28 -> 36 [size =\"20875264\"]\n  28 -> 38 [size =\"20875264\"]\n  28 -> 40 [size =\"20875264\"]\n  28 -> 41 [size =\"20875264\"]\n  29 [size=\"56685227\", alpha=\"0.16\", expect_size=\"17005568\"] \n  30 [size=\"67543040\", alpha=\"0.18\", expect_size=\"20262912\"] \n  31 [size=\"68369067\", alpha=\"0.08\", expect_size=\"20510720\"] \n  32 [size=\"41106773\", alpha=\"0.14\", expect_size=\"12332032\"] \n  33 [size=\"171376640\", alpha=\"0.07\", expect_size=\"51412992\"] \n  34 [size=\"156269227\", alpha=\"0.15\", expect_size=\"46880768\"] \n  35 [size=\"172680533\", alpha=\"0.02\", expect_size=\"51804160\"] \n  36 [size=\"119292587\", alpha=\"0.09\", expect_size=\"35787776\"] \n  37 [size=\"66925227\", alpha=\"0.10\", expect_size=\"20077568\"] \n  38 [size=\"116886187\", alpha=\"0.06\", expect_size=\"35065856\"] \n  39 [size=\"41024853\", alpha=\"0.07\", expect_size=\"12307456\"] \n  40 [size=\"169366187\", alpha=\"0.09\", expect_size=\"50809856\"] \n  41 [size=\"154695680\", alpha=\"0.16\", expect_size=\"46408704\"] \n  42 [size=\"61962240\", alpha=\"0.02\", expect_size=\"18588672\"] \n  43 [size=\"171233280\", alpha=\"0.04\", expect_size=\"51369984\"] \n  44 [size=\"66256213\", alpha=\"0.20\", expect_size=\"19876864\"] \n  45 [size=\"28948480\", alpha=\"0.01\", expect_size=\"8684544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21211136\", alpha=\"0.19\", expect_size=\"10605568\"] \n  1 -> 7 [size =\"10605568\"]\n  1 -> 8 [size =\"10605568\"]\n  1 -> 9 [size =\"10605568\"]\n  1 -> 10 [size =\"10605568\"]\n  1 -> 12 [size =\"10605568\"]\n  1 -> 13 [size =\"10605568\"]\n  2 [size=\"13170688\", alpha=\"0.17\", expect_size=\"6585344\"] \n  2 -> 8 [size =\"6585344\"]\n  2 -> 9 [size =\"6585344\"]\n  2 -> 9 [size =\"6585344\"]\n  2 -> 10 [size =\"6585344\"]\n  2 -> 11 [size =\"6585344\"]\n  2 -> 12 [size =\"6585344\"]\n  2 -> 13 [size =\"6585344\"]\n  3 [size=\"71942144\", alpha=\"0.20\", expect_size=\"35971072\"] \n  3 -> 7 [size =\"35971072\"]\n  3 -> 10 [size =\"35971072\"]\n  3 -> 11 [size =\"35971072\"]\n  3 -> 12 [size =\"35971072\"]\n  4 [size=\"21319680\", alpha=\"0.16\", expect_size=\"10659840\"] \n  4 -> 8 [size =\"10659840\"]\n  4 -> 9 [size =\"10659840\"]\n  4 -> 10 [size =\"10659840\"]\n  4 -> 11 [size =\"10659840\"]\n  4 -> 12 [size =\"10659840\"]\n  4 -> 14 [size =\"10659840\"]\n  5 [size=\"83337216\", alpha=\"0.06\", expect_size=\"41668608\"] \n  5 -> 8 [size =\"41668608\"]\n  5 -> 9 [size =\"41668608\"]\n  5 -> 10 [size =\"41668608\"]\n  5 -> 14 [size =\"41668608\"]\n  6 [size=\"73945088\", alpha=\"0.10\", expect_size=\"36972544\"] \n  6 -> 7 [size =\"36972544\"]\n  6 -> 8 [size =\"36972544\"]\n  6 -> 9 [size =\"36972544\"]\n  6 -> 10 [size =\"36972544\"]\n  6 -> 11 [size =\"36972544\"]\n  6 -> 12 [size =\"36972544\"]\n  6 -> 13 [size =\"36972544\"]\n  7 [size=\"61790208\", alpha=\"0.19\", expect_size=\"30895104\"] \n  7 -> 15 [size =\"30895104\"]\n  7 -> 16 [size =\"30895104\"]\n  7 -> 17 [size =\"30895104\"]\n  7 -> 19 [size =\"30895104\"]\n  7 -> 20 [size =\"30895104\"]\n  7 -> 21 [size =\"30895104\"]\n  7 -> 22 [size =\"30895104\"]\n  8 [size=\"73756672\", alpha=\"0.17\", expect_size=\"36878336\"] \n  8 -> 17 [size =\"36878336\"]\n  8 -> 18 [size =\"36878336\"]\n  8 -> 19 [size =\"36878336\"]\n  8 -> 20 [size =\"36878336\"]\n  8 -> 21 [size =\"36878336\"]\n  8 -> 21 [size =\"36878336\"]\n  8 -> 22 [size =\"36878336\"]\n  9 [size=\"72919040\", alpha=\"0.02\", expect_size=\"36459520\"] \n  9 -> 17 [size =\"36459520\"]\n  9 -> 19 [size =\"36459520\"]\n  9 -> 22 [size =\"36459520\"]\n  10 [size=\"37310464\", alpha=\"0.05\", expect_size=\"18655232\"] \n  10 -> 17 [size =\"18655232\"]\n  10 -> 19 [size =\"18655232\"]\n  11 [size=\"102076416\", alpha=\"0.05\", expect_size=\"51038208\"] \n  11 -> 17 [size =\"51038208\"]\n  11 -> 18 [size =\"51038208\"]\n  11 -> 20 [size =\"51038208\"]\n  12 [size=\"97347584\", alpha=\"0.09\", expect_size=\"48673792\"] \n  12 -> 16 [size =\"48673792\"]\n  12 -> 17 [size =\"48673792\"]\n  12 -> 21 [size =\"48673792\"]\n  12 -> 22 [size =\"48673792\"]\n  13 [size=\"82335744\", alpha=\"0.09\", expect_size=\"41167872\"] \n  13 -> 16 [size =\"41167872\"]\n  13 -> 17 [size =\"41167872\"]\n  13 -> 21 [size =\"41167872\"]\n  13 -> 22 [size =\"41167872\"]\n  14 [size=\"80556032\", alpha=\"0.08\", expect_size=\"40278016\"] \n  14 -> 15 [size =\"40278016\"]\n  14 -> 16 [size =\"40278016\"]\n  14 -> 17 [size =\"40278016\"]\n  14 -> 19 [size =\"40278016\"]\n  14 -> 21 [size =\"40278016\"]\n  14 -> 22 [size =\"40278016\"]\n  15 [size=\"60895232\", alpha=\"0.19\", expect_size=\"30447616\"] \n  15 -> 23 [size =\"30447616\"]\n  15 -> 25 [size =\"30447616\"]\n  16 [size=\"88758272\", alpha=\"0.07\", expect_size=\"44379136\"] \n  16 -> 23 [size =\"44379136\"]\n  16 -> 24 [size =\"44379136\"]\n  17 [size=\"43657216\", alpha=\"0.07\", expect_size=\"21828608\"] \n  17 -> 23 [size =\"21828608\"]\n  17 -> 24 [size =\"21828608\"]\n  18 [size=\"36608000\", alpha=\"0.19\", expect_size=\"18304000\"] \n  18 -> 23 [size =\"18304000\"]\n  19 [size=\"24619008\", alpha=\"0.13\", expect_size=\"12309504\"] \n  19 -> 23 [size =\"12309504\"]\n  20 [size=\"34981888\", alpha=\"0.17\", expect_size=\"17490944\"] \n  21 [size=\"60841984\", alpha=\"0.03\", expect_size=\"30420992\"] \n  21 -> 24 [size =\"30420992\"]\n  22 [size=\"82853888\", alpha=\"0.09\", expect_size=\"41426944\"] \n  22 -> 23 [size =\"41426944\"]\n  22 -> 24 [size =\"41426944\"]\n  23 [size=\"29716480\", alpha=\"0.09\", expect_size=\"14858240\"] \n  23 -> 26 [size =\"14858240\"]\n  23 -> 28 [size =\"14858240\"]\n  23 -> 29 [size =\"14858240\"]\n  24 [size=\"74285056\", alpha=\"0.10\", expect_size=\"37142528\"] \n  24 -> 27 [size =\"37142528\"]\n  24 -> 28 [size =\"37142528\"]\n  24 -> 29 [size =\"37142528\"]\n  25 [size=\"15476736\", alpha=\"0.08\", expect_size=\"7738368\"] \n  25 -> 28 [size =\"7738368\"]\n  25 -> 29 [size =\"7738368\"]\n  26 [size=\"103378944\", alpha=\"0.18\", expect_size=\"51689472\"] \n  26 -> 30 [size =\"51689472\"]\n  26 -> 31 [size =\"51689472\"]\n  26 -> 32 [size =\"51689472\"]\n  26 -> 33 [size =\"51689472\"]\n  26 -> 34 [size =\"51689472\"]\n  26 -> 35 [size =\"51689472\"]\n  27 [size=\"41545728\", alpha=\"0.20\", expect_size=\"20772864\"] \n  27 -> 30 [size =\"20772864\"]\n  27 -> 32 [size =\"20772864\"]\n  27 -> 34 [size =\"20772864\"]\n  27 -> 35 [size =\"20772864\"]\n  28 [size=\"73175040\", alpha=\"0.15\", expect_size=\"36587520\"] \n  28 -> 30 [size =\"36587520\"]\n  28 -> 31 [size =\"36587520\"]\n  28 -> 34 [size =\"36587520\"]\n  29 [size=\"70752256\", alpha=\"0.03\", expect_size=\"35376128\"] \n  29 -> 30 [size =\"35376128\"]\n  29 -> 31 [size =\"35376128\"]\n  29 -> 32 [size =\"35376128\"]\n  29 -> 34 [size =\"35376128\"]\n  29 -> 35 [size =\"35376128\"]\n  30 [size=\"37988352\", alpha=\"0.17\", expect_size=\"18994176\"] \n  30 -> 38 [size =\"18994176\"]\n  30 -> 39 [size =\"18994176\"]\n  30 -> 40 [size =\"18994176\"]\n  30 -> 41 [size =\"18994176\"]\n  30 -> 41 [size =\"18994176\"]\n  31 [size=\"22312960\", alpha=\"0.10\", expect_size=\"11156480\"] \n  31 -> 36 [size =\"11156480\"]\n  31 -> 38 [size =\"11156480\"]\n  31 -> 39 [size =\"11156480\"]\n  31 -> 40 [size =\"11156480\"]\n  31 -> 41 [size =\"11156480\"]\n  32 [size=\"34453504\", alpha=\"0.02\", expect_size=\"17226752\"] \n  32 -> 36 [size =\"17226752\"]\n  32 -> 37 [size =\"17226752\"]\n  32 -> 38 [size =\"17226752\"]\n  32 -> 39 [size =\"17226752\"]\n  32 -> 40 [size =\"17226752\"]\n  33 [size=\"77096960\", alpha=\"0.09\", expect_size=\"38548480\"] \n  33 -> 36 [size =\"38548480\"]\n  33 -> 37 [size =\"38548480\"]\n  33 -> 38 [size =\"38548480\"]\n  34 [size=\"22953984\", alpha=\"0.10\", expect_size=\"11476992\"] \n  34 -> 36 [size =\"11476992\"]\n  34 -> 38 [size =\"11476992\"]\n  34 -> 39 [size =\"11476992\"]\n  34 -> 40 [size =\"11476992\"]\n  35 [size=\"71606272\", alpha=\"0.03\", expect_size=\"35803136\"] \n  35 -> 36 [size =\"35803136\"]\n  35 -> 39 [size =\"35803136\"]\n  35 -> 40 [size =\"35803136\"]\n  35 -> 40 [size =\"35803136\"]\n  35 -> 41 [size =\"35803136\"]\n  36 [size=\"12789760\", alpha=\"0.12\", expect_size=\"6394880\"] \n  36 -> 42 [size =\"6394880\"]\n  36 -> 44 [size =\"6394880\"]\n  37 [size=\"98707456\", alpha=\"0.08\", expect_size=\"49353728\"] \n  37 -> 42 [size =\"49353728\"]\n  38 [size=\"97548288\", alpha=\"0.10\", expect_size=\"48774144\"] \n  38 -> 42 [size =\"48774144\"]\n  39 [size=\"72587264\", alpha=\"0.14\", expect_size=\"36293632\"] \n  39 -> 42 [size =\"36293632\"]\n  39 -> 43 [size =\"36293632\"]\n  39 -> 44 [size =\"36293632\"]\n  40 [size=\"86255616\", alpha=\"0.04\", expect_size=\"43127808\"] \n  40 -> 42 [size =\"43127808\"]\n  40 -> 43 [size =\"43127808\"]\n  40 -> 44 [size =\"43127808\"]\n  41 [size=\"71010304\", alpha=\"0.04\", expect_size=\"35505152\"] \n  42 [size=\"24068096\", alpha=\"0.00\", expect_size=\"12034048\"] \n  43 [size=\"32292864\", alpha=\"0.00\", expect_size=\"16146432\"] \n  43 -> 45 [size =\"16146432\"]\n  44 [size=\"73164800\", alpha=\"0.14\", expect_size=\"36582400\"] \n  44 -> 45 [size =\"36582400\"]\n  45 [size=\"28008448\", alpha=\"0.08\", expect_size=\"14004224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45056000\", alpha=\"0.09\", expect_size=\"22528000\"] \n  1 -> 3 [size =\"22528000\"]\n  1 -> 4 [size =\"22528000\"]\n  2 [size=\"91232256\", alpha=\"0.11\", expect_size=\"45616128\"] \n  2 -> 3 [size =\"45616128\"]\n  3 [size=\"16025600\", alpha=\"0.16\", expect_size=\"8012800\"] \n  3 -> 5 [size =\"8012800\"]\n  4 [size=\"63969280\", alpha=\"0.16\", expect_size=\"31984640\"] \n  4 -> 5 [size =\"31984640\"]\n  4 -> 6 [size =\"31984640\"]\n  5 [size=\"90279936\", alpha=\"0.06\", expect_size=\"45139968\"] \n  5 -> 7 [size =\"45139968\"]\n  5 -> 8 [size =\"45139968\"]\n  5 -> 9 [size =\"45139968\"]\n  6 [size=\"67225600\", alpha=\"0.12\", expect_size=\"33612800\"] \n  6 -> 8 [size =\"33612800\"]\n  6 -> 9 [size =\"33612800\"]\n  7 [size=\"79038464\", alpha=\"0.02\", expect_size=\"39519232\"] \n  7 -> 11 [size =\"39519232\"]\n  8 [size=\"103526400\", alpha=\"0.10\", expect_size=\"51763200\"] \n  8 -> 10 [size =\"51763200\"]\n  9 [size=\"11589632\", alpha=\"0.04\", expect_size=\"5794816\"] \n  9 -> 10 [size =\"5794816\"]\n  9 -> 11 [size =\"5794816\"]\n  10 [size=\"88473600\", alpha=\"0.06\", expect_size=\"44236800\"] \n  10 -> 12 [size =\"44236800\"]\n  10 -> 13 [size =\"44236800\"]\n  11 [size=\"61798400\", alpha=\"0.02\", expect_size=\"30899200\"] \n  11 -> 13 [size =\"30899200\"]\n  12 [size=\"11814912\", alpha=\"0.06\", expect_size=\"5907456\"] \n  12 -> 14 [size =\"5907456\"]\n  12 -> 15 [size =\"5907456\"]\n  13 [size=\"64638976\", alpha=\"0.07\", expect_size=\"32319488\"] \n  13 -> 14 [size =\"32319488\"]\n  13 -> 15 [size =\"32319488\"]\n  14 [size=\"47181824\", alpha=\"0.14\", expect_size=\"23590912\"] \n  14 -> 16 [size =\"23590912\"]\n  14 -> 17 [size =\"23590912\"]\n  15 [size=\"30375936\", alpha=\"0.01\", expect_size=\"15187968\"] \n  15 -> 16 [size =\"15187968\"]\n  16 [size=\"58664960\", alpha=\"0.16\", expect_size=\"29332480\"] \n  16 -> 18 [size =\"29332480\"]\n  17 [size=\"20396032\", alpha=\"0.19\", expect_size=\"10198016\"] \n  17 -> 18 [size =\"10198016\"]\n  17 -> 19 [size =\"10198016\"]\n  17 -> 20 [size =\"10198016\"]\n  18 [size=\"30009344\", alpha=\"0.18\", expect_size=\"15004672\"] \n  18 -> 21 [size =\"15004672\"]\n  19 [size=\"77101056\", alpha=\"0.14\", expect_size=\"38550528\"] \n  19 -> 21 [size =\"38550528\"]\n  19 -> 22 [size =\"38550528\"]\n  20 [size=\"96274432\", alpha=\"0.19\", expect_size=\"48137216\"] \n  21 [size=\"31834112\", alpha=\"0.12\", expect_size=\"15917056\"] \n  21 -> 24 [size =\"15917056\"]\n  21 -> 25 [size =\"15917056\"]\n  22 [size=\"39669760\", alpha=\"0.02\", expect_size=\"19834880\"] \n  22 -> 23 [size =\"19834880\"]\n  23 [size=\"66883584\", alpha=\"0.13\", expect_size=\"33441792\"] \n  24 [size=\"99270656\", alpha=\"0.15\", expect_size=\"49635328\"] \n  24 -> 26 [size =\"49635328\"]\n  25 [size=\"70926336\", alpha=\"0.14\", expect_size=\"35463168\"] \n  25 -> 27 [size =\"35463168\"]\n  26 [size=\"76896256\", alpha=\"0.05\", expect_size=\"38448128\"] \n  26 -> 28 [size =\"38448128\"]\n  26 -> 29 [size =\"38448128\"]\n  27 [size=\"57864192\", alpha=\"0.11\", expect_size=\"28932096\"] \n  27 -> 29 [size =\"28932096\"]\n  28 [size=\"55486464\", alpha=\"0.17\", expect_size=\"27743232\"] \n  28 -> 30 [size =\"27743232\"]\n  28 -> 31 [size =\"27743232\"]\n  28 -> 32 [size =\"27743232\"]\n  29 [size=\"46868480\", alpha=\"0.03\", expect_size=\"23434240\"] \n  29 -> 30 [size =\"23434240\"]\n  29 -> 32 [size =\"23434240\"]\n  30 [size=\"17287168\", alpha=\"0.05\", expect_size=\"8643584\"] \n  30 -> 33 [size =\"8643584\"]\n  30 -> 35 [size =\"8643584\"]\n  31 [size=\"13113344\", alpha=\"0.18\", expect_size=\"6556672\"] \n  31 -> 34 [size =\"6556672\"]\n  32 [size=\"68919296\", alpha=\"0.11\", expect_size=\"34459648\"] \n  32 -> 35 [size =\"34459648\"]\n  33 [size=\"76705792\", alpha=\"0.16\", expect_size=\"38352896\"] \n  34 [size=\"42016768\", alpha=\"0.09\", expect_size=\"21008384\"] \n  34 -> 36 [size =\"21008384\"]\n  34 -> 37 [size =\"21008384\"]\n  35 [size=\"18335744\", alpha=\"0.06\", expect_size=\"9167872\"] \n  35 -> 37 [size =\"9167872\"]\n  35 -> 38 [size =\"9167872\"]\n  36 [size=\"85456896\", alpha=\"0.13\", expect_size=\"42728448\"] \n  37 [size=\"17006592\", alpha=\"0.02\", expect_size=\"8503296\"] \n  37 -> 39 [size =\"8503296\"]\n  38 [size=\"70283264\", alpha=\"0.16\", expect_size=\"35141632\"] \n  38 -> 39 [size =\"35141632\"]\n  38 -> 40 [size =\"35141632\"]\n  39 [size=\"55207936\", alpha=\"0.03\", expect_size=\"27603968\"] \n  39 -> 41 [size =\"27603968\"]\n  39 -> 42 [size =\"27603968\"]\n  40 [size=\"67260416\", alpha=\"0.09\", expect_size=\"33630208\"] \n  40 -> 41 [size =\"33630208\"]\n  41 [size=\"90058752\", alpha=\"0.19\", expect_size=\"45029376\"] \n  41 -> 43 [size =\"45029376\"]\n  41 -> 45 [size =\"45029376\"]\n  42 [size=\"80541696\", alpha=\"0.15\", expect_size=\"40270848\"] \n  42 -> 44 [size =\"40270848\"]\n  43 [size=\"40042496\", alpha=\"0.04\", expect_size=\"20021248\"] \n  44 [size=\"22714368\", alpha=\"0.11\", expect_size=\"11357184\"] \n  45 [size=\"65255424\", alpha=\"0.11\", expect_size=\"32627712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32324267\", alpha=\"0.12\", expect_size=\"9697280\"] \n  1 -> 37 [size =\"9697280\"]\n  1 -> 40 [size =\"9697280\"]\n  1 -> 42 [size =\"9697280\"]\n  1 -> 43 [size =\"9697280\"]\n  1 -> 45 [size =\"9697280\"]\n  2 [size=\"27211093\", alpha=\"0.15\", expect_size=\"8163328\"] \n  2 -> 37 [size =\"8163328\"]\n  2 -> 40 [size =\"8163328\"]\n  2 -> 42 [size =\"8163328\"]\n  2 -> 43 [size =\"8163328\"]\n  2 -> 44 [size =\"8163328\"]\n  2 -> 45 [size =\"8163328\"]\n  3 [size=\"142417920\", alpha=\"0.10\", expect_size=\"42725376\"] \n  3 -> 37 [size =\"42725376\"]\n  3 -> 40 [size =\"42725376\"]\n  3 -> 41 [size =\"42725376\"]\n  3 -> 42 [size =\"42725376\"]\n  3 -> 43 [size =\"42725376\"]\n  3 -> 45 [size =\"42725376\"]\n  4 [size=\"59979093\", alpha=\"0.06\", expect_size=\"17993728\"] \n  4 -> 39 [size =\"17993728\"]\n  4 -> 40 [size =\"17993728\"]\n  4 -> 42 [size =\"17993728\"]\n  4 -> 42 [size =\"17993728\"]\n  4 -> 44 [size =\"17993728\"]\n  5 [size=\"146466133\", alpha=\"0.18\", expect_size=\"43939840\"] \n  5 -> 40 [size =\"43939840\"]\n  5 -> 42 [size =\"43939840\"]\n  5 -> 44 [size =\"43939840\"]\n  6 [size=\"96894293\", alpha=\"0.15\", expect_size=\"29068288\"] \n  6 -> 41 [size =\"29068288\"]\n  6 -> 42 [size =\"29068288\"]\n  6 -> 43 [size =\"29068288\"]\n  7 [size=\"163887787\", alpha=\"0.19\", expect_size=\"49166336\"] \n  7 -> 41 [size =\"49166336\"]\n  7 -> 42 [size =\"49166336\"]\n  7 -> 43 [size =\"49166336\"]\n  8 [size=\"101007360\", alpha=\"0.07\", expect_size=\"30302208\"] \n  8 -> 37 [size =\"30302208\"]\n  8 -> 42 [size =\"30302208\"]\n  8 -> 43 [size =\"30302208\"]\n  9 [size=\"85777067\", alpha=\"0.03\", expect_size=\"25733120\"] \n  9 -> 37 [size =\"25733120\"]\n  9 -> 38 [size =\"25733120\"]\n  9 -> 42 [size =\"25733120\"]\n  9 -> 43 [size =\"25733120\"]\n  9 -> 45 [size =\"25733120\"]\n  10 [size=\"24470187\", alpha=\"0.01\", expect_size=\"7341056\"] \n  10 -> 38 [size =\"7341056\"]\n  10 -> 39 [size =\"7341056\"]\n  10 -> 40 [size =\"7341056\"]\n  10 -> 42 [size =\"7341056\"]\n  10 -> 43 [size =\"7341056\"]\n  10 -> 45 [size =\"7341056\"]\n  11 [size=\"145984853\", alpha=\"0.14\", expect_size=\"43795456\"] \n  11 -> 37 [size =\"43795456\"]\n  11 -> 42 [size =\"43795456\"]\n  11 -> 43 [size =\"43795456\"]\n  11 -> 44 [size =\"43795456\"]\n  12 [size=\"83626667\", alpha=\"0.19\", expect_size=\"25088000\"] \n  12 -> 37 [size =\"25088000\"]\n  12 -> 42 [size =\"25088000\"]\n  12 -> 43 [size =\"25088000\"]\n  12 -> 45 [size =\"25088000\"]\n  13 [size=\"44738560\", alpha=\"0.04\", expect_size=\"13421568\"] \n  13 -> 42 [size =\"13421568\"]\n  13 -> 45 [size =\"13421568\"]\n  14 [size=\"119681707\", alpha=\"0.11\", expect_size=\"35904512\"] \n  14 -> 43 [size =\"35904512\"]\n  15 [size=\"167714133\", alpha=\"0.02\", expect_size=\"50314240\"] \n  15 -> 37 [size =\"50314240\"]\n  15 -> 45 [size =\"50314240\"]\n  16 [size=\"151429120\", alpha=\"0.12\", expect_size=\"45428736\"] \n  16 -> 37 [size =\"45428736\"]\n  16 -> 38 [size =\"45428736\"]\n  16 -> 40 [size =\"45428736\"]\n  16 -> 42 [size =\"45428736\"]\n  16 -> 45 [size =\"45428736\"]\n  17 [size=\"108332373\", alpha=\"0.20\", expect_size=\"32499712\"] \n  17 -> 38 [size =\"32499712\"]\n  17 -> 40 [size =\"32499712\"]\n  17 -> 45 [size =\"32499712\"]\n  18 [size=\"101676373\", alpha=\"0.02\", expect_size=\"30502912\"] \n  18 -> 37 [size =\"30502912\"]\n  18 -> 40 [size =\"30502912\"]\n  18 -> 43 [size =\"30502912\"]\n  18 -> 45 [size =\"30502912\"]\n  19 [size=\"159720107\", alpha=\"0.11\", expect_size=\"47916032\"] \n  19 -> 37 [size =\"47916032\"]\n  19 -> 38 [size =\"47916032\"]\n  19 -> 40 [size =\"47916032\"]\n  19 -> 43 [size =\"47916032\"]\n  19 -> 44 [size =\"47916032\"]\n  19 -> 45 [size =\"47916032\"]\n  20 [size=\"29494613\", alpha=\"0.09\", expect_size=\"8848384\"] \n  20 -> 37 [size =\"8848384\"]\n  20 -> 40 [size =\"8848384\"]\n  20 -> 41 [size =\"8848384\"]\n  20 -> 43 [size =\"8848384\"]\n  21 [size=\"35300693\", alpha=\"0.09\", expect_size=\"10590208\"] \n  21 -> 37 [size =\"10590208\"]\n  21 -> 40 [size =\"10590208\"]\n  21 -> 42 [size =\"10590208\"]\n  22 [size=\"147858773\", alpha=\"0.10\", expect_size=\"44357632\"] \n  22 -> 37 [size =\"44357632\"]\n  22 -> 38 [size =\"44357632\"]\n  22 -> 40 [size =\"44357632\"]\n  22 -> 42 [size =\"44357632\"]\n  22 -> 43 [size =\"44357632\"]\n  22 -> 44 [size =\"44357632\"]\n  22 -> 45 [size =\"44357632\"]\n  23 [size=\"138280960\", alpha=\"0.07\", expect_size=\"41484288\"] \n  23 -> 37 [size =\"41484288\"]\n  23 -> 42 [size =\"41484288\"]\n  23 -> 43 [size =\"41484288\"]\n  23 -> 44 [size =\"41484288\"]\n  23 -> 45 [size =\"41484288\"]\n  24 [size=\"172987733\", alpha=\"0.09\", expect_size=\"51896320\"] \n  24 -> 37 [size =\"51896320\"]\n  24 -> 38 [size =\"51896320\"]\n  24 -> 39 [size =\"51896320\"]\n  24 -> 40 [size =\"51896320\"]\n  24 -> 42 [size =\"51896320\"]\n  24 -> 43 [size =\"51896320\"]\n  24 -> 44 [size =\"51896320\"]\n  24 -> 45 [size =\"51896320\"]\n  25 [size=\"102188373\", alpha=\"0.08\", expect_size=\"30656512\"] \n  25 -> 42 [size =\"30656512\"]\n  25 -> 45 [size =\"30656512\"]\n  26 [size=\"120733013\", alpha=\"0.16\", expect_size=\"36219904\"] \n  26 -> 39 [size =\"36219904\"]\n  26 -> 42 [size =\"36219904\"]\n  26 -> 45 [size =\"36219904\"]\n  27 [size=\"60357973\", alpha=\"0.04\", expect_size=\"18107392\"] \n  27 -> 38 [size =\"18107392\"]\n  27 -> 41 [size =\"18107392\"]\n  27 -> 44 [size =\"18107392\"]\n  27 -> 45 [size =\"18107392\"]\n  28 [size=\"59214507\", alpha=\"0.02\", expect_size=\"17764352\"] \n  28 -> 40 [size =\"17764352\"]\n  28 -> 41 [size =\"17764352\"]\n  28 -> 45 [size =\"17764352\"]\n  29 [size=\"78011733\", alpha=\"0.09\", expect_size=\"23403520\"] \n  29 -> 42 [size =\"23403520\"]\n  29 -> 45 [size =\"23403520\"]\n  30 [size=\"164212053\", alpha=\"0.16\", expect_size=\"49263616\"] \n  30 -> 37 [size =\"49263616\"]\n  30 -> 41 [size =\"49263616\"]\n  30 -> 42 [size =\"49263616\"]\n  30 -> 44 [size =\"49263616\"]\n  31 [size=\"76574720\", alpha=\"0.00\", expect_size=\"22972416\"] \n  31 -> 37 [size =\"22972416\"]\n  31 -> 40 [size =\"22972416\"]\n  31 -> 42 [size =\"22972416\"]\n  31 -> 43 [size =\"22972416\"]\n  31 -> 44 [size =\"22972416\"]\n  32 [size=\"144517120\", alpha=\"0.13\", expect_size=\"43355136\"] \n  32 -> 37 [size =\"43355136\"]\n  32 -> 38 [size =\"43355136\"]\n  32 -> 41 [size =\"43355136\"]\n  32 -> 42 [size =\"43355136\"]\n  32 -> 43 [size =\"43355136\"]\n  32 -> 44 [size =\"43355136\"]\n  32 -> 45 [size =\"43355136\"]\n  33 [size=\"63208107\", alpha=\"0.08\", expect_size=\"18962432\"] \n  33 -> 37 [size =\"18962432\"]\n  33 -> 38 [size =\"18962432\"]\n  33 -> 41 [size =\"18962432\"]\n  33 -> 42 [size =\"18962432\"]\n  33 -> 43 [size =\"18962432\"]\n  33 -> 45 [size =\"18962432\"]\n  34 [size=\"114875733\", alpha=\"0.17\", expect_size=\"34462720\"] \n  34 -> 37 [size =\"34462720\"]\n  34 -> 39 [size =\"34462720\"]\n  34 -> 43 [size =\"34462720\"]\n  34 -> 44 [size =\"34462720\"]\n  35 [size=\"27450027\", alpha=\"0.05\", expect_size=\"8235008\"] \n  35 -> 37 [size =\"8235008\"]\n  35 -> 38 [size =\"8235008\"]\n  35 -> 40 [size =\"8235008\"]\n  35 -> 41 [size =\"8235008\"]\n  35 -> 42 [size =\"8235008\"]\n  35 -> 43 [size =\"8235008\"]\n  35 -> 45 [size =\"8235008\"]\n  36 [size=\"87214080\", alpha=\"0.10\", expect_size=\"26164224\"] \n  36 -> 37 [size =\"26164224\"]\n  36 -> 38 [size =\"26164224\"]\n  36 -> 40 [size =\"26164224\"]\n  36 -> 41 [size =\"26164224\"]\n  36 -> 42 [size =\"26164224\"]\n  36 -> 43 [size =\"26164224\"]\n  36 -> 45 [size =\"26164224\"]\n  37 [size=\"59009707\", alpha=\"0.07\", expect_size=\"17702912\"] \n  38 [size=\"89251840\", alpha=\"0.14\", expect_size=\"26775552\"] \n  39 [size=\"104188587\", alpha=\"0.19\", expect_size=\"31256576\"] \n  40 [size=\"172120747\", alpha=\"0.06\", expect_size=\"51636224\"] \n  41 [size=\"142755840\", alpha=\"0.15\", expect_size=\"42826752\"] \n  42 [size=\"144605867\", alpha=\"0.01\", expect_size=\"43381760\"] \n  43 [size=\"86534827\", alpha=\"0.02\", expect_size=\"25960448\"] \n  44 [size=\"153098240\", alpha=\"0.03\", expect_size=\"45929472\"] \n  45 [size=\"131925333\", alpha=\"0.15\", expect_size=\"39577600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26329088\", alpha=\"0.06\", expect_size=\"13164544\"] \n  1 -> 2 [size =\"13164544\"]\n  2 [size=\"77307904\", alpha=\"0.17\", expect_size=\"38653952\"] \n  2 -> 3 [size =\"38653952\"]\n  3 [size=\"37990400\", alpha=\"0.04\", expect_size=\"18995200\"] \n  3 -> 4 [size =\"18995200\"]\n  4 [size=\"17448960\", alpha=\"0.11\", expect_size=\"8724480\"] \n  4 -> 5 [size =\"8724480\"]\n  5 [size=\"98996224\", alpha=\"0.18\", expect_size=\"49498112\"] \n  5 -> 6 [size =\"49498112\"]\n  6 [size=\"21989376\", alpha=\"0.07\", expect_size=\"10994688\"] \n  6 -> 7 [size =\"10994688\"]\n  7 [size=\"96014336\", alpha=\"0.02\", expect_size=\"48007168\"] \n  7 -> 8 [size =\"48007168\"]\n  8 [size=\"73166848\", alpha=\"0.16\", expect_size=\"36583424\"] \n  8 -> 9 [size =\"36583424\"]\n  9 [size=\"82870272\", alpha=\"0.10\", expect_size=\"41435136\"] \n  9 -> 10 [size =\"41435136\"]\n  10 [size=\"92368896\", alpha=\"0.06\", expect_size=\"46184448\"] \n  10 -> 11 [size =\"46184448\"]\n  11 [size=\"93538304\", alpha=\"0.12\", expect_size=\"46769152\"] \n  11 -> 12 [size =\"46769152\"]\n  12 [size=\"25147392\", alpha=\"0.06\", expect_size=\"12573696\"] \n  12 -> 13 [size =\"12573696\"]\n  13 [size=\"103364608\", alpha=\"0.09\", expect_size=\"51682304\"] \n  13 -> 14 [size =\"51682304\"]\n  14 [size=\"27553792\", alpha=\"0.05\", expect_size=\"13776896\"] \n  14 -> 15 [size =\"13776896\"]\n  15 [size=\"77549568\", alpha=\"0.17\", expect_size=\"38774784\"] \n  15 -> 16 [size =\"38774784\"]\n  16 [size=\"67495936\", alpha=\"0.02\", expect_size=\"33747968\"] \n  16 -> 17 [size =\"33747968\"]\n  17 [size=\"99598336\", alpha=\"0.13\", expect_size=\"49799168\"] \n  17 -> 18 [size =\"49799168\"]\n  18 [size=\"15370240\", alpha=\"0.02\", expect_size=\"7685120\"] \n  18 -> 19 [size =\"7685120\"]\n  19 [size=\"93003776\", alpha=\"0.06\", expect_size=\"46501888\"] \n  19 -> 20 [size =\"46501888\"]\n  20 [size=\"45010944\", alpha=\"0.17\", expect_size=\"22505472\"] \n  20 -> 21 [size =\"22505472\"]\n  21 [size=\"72916992\", alpha=\"0.12\", expect_size=\"36458496\"] \n  21 -> 22 [size =\"36458496\"]\n  22 [size=\"34394112\", alpha=\"0.00\", expect_size=\"17197056\"] \n  22 -> 23 [size =\"17197056\"]\n  23 [size=\"60663808\", alpha=\"0.15\", expect_size=\"30331904\"] \n  23 -> 24 [size =\"30331904\"]\n  24 [size=\"103813120\", alpha=\"0.11\", expect_size=\"51906560\"] \n  24 -> 25 [size =\"51906560\"]\n  25 [size=\"31260672\", alpha=\"0.06\", expect_size=\"15630336\"] \n  25 -> 26 [size =\"15630336\"]\n  26 [size=\"15771648\", alpha=\"0.03\", expect_size=\"7885824\"] \n  26 -> 27 [size =\"7885824\"]\n  27 [size=\"23431168\", alpha=\"0.18\", expect_size=\"11715584\"] \n  27 -> 28 [size =\"11715584\"]\n  28 [size=\"86628352\", alpha=\"0.07\", expect_size=\"43314176\"] \n  28 -> 29 [size =\"43314176\"]\n  29 [size=\"96870400\", alpha=\"0.11\", expect_size=\"48435200\"] \n  29 -> 30 [size =\"48435200\"]\n  30 [size=\"31492096\", alpha=\"0.12\", expect_size=\"15746048\"] \n  30 -> 31 [size =\"15746048\"]\n  31 [size=\"18726912\", alpha=\"0.11\", expect_size=\"9363456\"] \n  31 -> 32 [size =\"9363456\"]\n  32 [size=\"74424320\", alpha=\"0.13\", expect_size=\"37212160\"] \n  32 -> 33 [size =\"37212160\"]\n  33 [size=\"76658688\", alpha=\"0.14\", expect_size=\"38329344\"] \n  33 -> 34 [size =\"38329344\"]\n  34 [size=\"52940800\", alpha=\"0.20\", expect_size=\"26470400\"] \n  34 -> 35 [size =\"26470400\"]\n  35 [size=\"104603648\", alpha=\"0.19\", expect_size=\"52301824\"] \n  35 -> 36 [size =\"52301824\"]\n  36 [size=\"37044224\", alpha=\"0.11\", expect_size=\"18522112\"] \n  36 -> 37 [size =\"18522112\"]\n  37 [size=\"50511872\", alpha=\"0.01\", expect_size=\"25255936\"] \n  37 -> 38 [size =\"25255936\"]\n  38 [size=\"41793536\", alpha=\"0.13\", expect_size=\"20896768\"] \n  38 -> 39 [size =\"20896768\"]\n  39 [size=\"73568256\", alpha=\"0.02\", expect_size=\"36784128\"] \n  39 -> 40 [size =\"36784128\"]\n  40 [size=\"29478912\", alpha=\"0.18\", expect_size=\"14739456\"] \n  40 -> 41 [size =\"14739456\"]\n  41 [size=\"85780480\", alpha=\"0.08\", expect_size=\"42890240\"] \n  41 -> 42 [size =\"42890240\"]\n  42 [size=\"42409984\", alpha=\"0.02\", expect_size=\"21204992\"] \n  42 -> 43 [size =\"21204992\"]\n  43 [size=\"102776832\", alpha=\"0.07\", expect_size=\"51388416\"] \n  43 -> 44 [size =\"51388416\"]\n  44 [size=\"76640256\", alpha=\"0.12\", expect_size=\"38320128\"] \n  44 -> 45 [size =\"38320128\"]\n  45 [size=\"75446272\", alpha=\"0.02\", expect_size=\"37723136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17348608\", alpha=\"0.08\", expect_size=\"8674304\"] \n  1 -> 6 [size =\"8674304\"]\n  2 [size=\"32456704\", alpha=\"0.06\", expect_size=\"16228352\"] \n  2 -> 5 [size =\"16228352\"]\n  2 -> 6 [size =\"16228352\"]\n  3 [size=\"13330432\", alpha=\"0.16\", expect_size=\"6665216\"] \n  3 -> 4 [size =\"6665216\"]\n  4 [size=\"37877760\", alpha=\"0.11\", expect_size=\"18938880\"] \n  4 -> 7 [size =\"18938880\"]\n  5 [size=\"40638464\", alpha=\"0.07\", expect_size=\"20319232\"] \n  5 -> 8 [size =\"20319232\"]\n  6 [size=\"33845248\", alpha=\"0.16\", expect_size=\"16922624\"] \n  6 -> 7 [size =\"16922624\"]\n  7 [size=\"19058688\", alpha=\"0.20\", expect_size=\"9529344\"] \n  7 -> 9 [size =\"9529344\"]\n  8 [size=\"13127680\", alpha=\"0.12\", expect_size=\"6563840\"] \n  8 -> 10 [size =\"6563840\"]\n  9 [size=\"62142464\", alpha=\"0.11\", expect_size=\"31071232\"] \n  9 -> 13 [size =\"31071232\"]\n  10 [size=\"16701440\", alpha=\"0.10\", expect_size=\"8350720\"] \n  10 -> 11 [size =\"8350720\"]\n  10 -> 12 [size =\"8350720\"]\n  11 [size=\"76158976\", alpha=\"0.15\", expect_size=\"38079488\"] \n  11 -> 14 [size =\"38079488\"]\n  11 -> 16 [size =\"38079488\"]\n  12 [size=\"17833984\", alpha=\"0.17\", expect_size=\"8916992\"] \n  12 -> 15 [size =\"8916992\"]\n  13 [size=\"44195840\", alpha=\"0.19\", expect_size=\"22097920\"] \n  14 [size=\"25210880\", alpha=\"0.03\", expect_size=\"12605440\"] \n  14 -> 17 [size =\"12605440\"]\n  15 [size=\"77811712\", alpha=\"0.11\", expect_size=\"38905856\"] \n  15 -> 17 [size =\"38905856\"]\n  15 -> 18 [size =\"38905856\"]\n  16 [size=\"17307648\", alpha=\"0.05\", expect_size=\"8653824\"] \n  17 [size=\"94869504\", alpha=\"0.18\", expect_size=\"47434752\"] \n  18 [size=\"94326784\", alpha=\"0.01\", expect_size=\"47163392\"] \n  18 -> 19 [size =\"47163392\"]\n  18 -> 20 [size =\"47163392\"]\n  18 -> 21 [size =\"47163392\"]\n  19 [size=\"58494976\", alpha=\"0.03\", expect_size=\"29247488\"] \n  19 -> 22 [size =\"29247488\"]\n  20 [size=\"17160192\", alpha=\"0.11\", expect_size=\"8580096\"] \n  21 [size=\"62216192\", alpha=\"0.20\", expect_size=\"31108096\"] \n  21 -> 23 [size =\"31108096\"]\n  21 -> 24 [size =\"31108096\"]\n  22 [size=\"39526400\", alpha=\"0.14\", expect_size=\"19763200\"] \n  22 -> 25 [size =\"19763200\"]\n  22 -> 26 [size =\"19763200\"]\n  22 -> 27 [size =\"19763200\"]\n  23 [size=\"26939392\", alpha=\"0.08\", expect_size=\"13469696\"] \n  23 -> 27 [size =\"13469696\"]\n  24 [size=\"20180992\", alpha=\"0.08\", expect_size=\"10090496\"] \n  25 [size=\"35182592\", alpha=\"0.15\", expect_size=\"17591296\"] \n  26 [size=\"86333440\", alpha=\"0.07\", expect_size=\"43166720\"] \n  26 -> 28 [size =\"43166720\"]\n  26 -> 29 [size =\"43166720\"]\n  27 [size=\"14120960\", alpha=\"0.00\", expect_size=\"7060480\"] \n  27 -> 29 [size =\"7060480\"]\n  27 -> 30 [size =\"7060480\"]\n  28 [size=\"97021952\", alpha=\"0.14\", expect_size=\"48510976\"] \n  28 -> 31 [size =\"48510976\"]\n  29 [size=\"101271552\", alpha=\"0.19\", expect_size=\"50635776\"] \n  29 -> 32 [size =\"50635776\"]\n  29 -> 33 [size =\"50635776\"]\n  30 [size=\"19855360\", alpha=\"0.05\", expect_size=\"9927680\"] \n  31 [size=\"69419008\", alpha=\"0.05\", expect_size=\"34709504\"] \n  32 [size=\"68083712\", alpha=\"0.07\", expect_size=\"34041856\"] \n  32 -> 34 [size =\"34041856\"]\n  32 -> 35 [size =\"34041856\"]\n  32 -> 36 [size =\"34041856\"]\n  33 [size=\"37822464\", alpha=\"0.16\", expect_size=\"18911232\"] \n  33 -> 35 [size =\"18911232\"]\n  34 [size=\"75851776\", alpha=\"0.08\", expect_size=\"37925888\"] \n  34 -> 39 [size =\"37925888\"]\n  35 [size=\"20819968\", alpha=\"0.14\", expect_size=\"10409984\"] \n  35 -> 37 [size =\"10409984\"]\n  35 -> 39 [size =\"10409984\"]\n  36 [size=\"91625472\", alpha=\"0.02\", expect_size=\"45812736\"] \n  36 -> 38 [size =\"45812736\"]\n  37 [size=\"28508160\", alpha=\"0.08\", expect_size=\"14254080\"] \n  37 -> 40 [size =\"14254080\"]\n  38 [size=\"28790784\", alpha=\"0.11\", expect_size=\"14395392\"] \n  38 -> 41 [size =\"14395392\"]\n  39 [size=\"95113216\", alpha=\"0.05\", expect_size=\"47556608\"] \n  39 -> 40 [size =\"47556608\"]\n  40 [size=\"90392576\", alpha=\"0.20\", expect_size=\"45196288\"] \n  40 -> 44 [size =\"45196288\"]\n  41 [size=\"20842496\", alpha=\"0.05\", expect_size=\"10421248\"] \n  41 -> 42 [size =\"10421248\"]\n  41 -> 43 [size =\"10421248\"]\n  42 [size=\"46512128\", alpha=\"0.18\", expect_size=\"23256064\"] \n  42 -> 45 [size =\"23256064\"]\n  43 [size=\"80377856\", alpha=\"0.13\", expect_size=\"40188928\"] \n  44 [size=\"61777920\", alpha=\"0.11\", expect_size=\"30888960\"] \n  45 [size=\"99811328\", alpha=\"0.14\", expect_size=\"49905664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70316032\", alpha=\"0.11\", expect_size=\"35158016\"] \n  1 -> 10 [size =\"35158016\"]\n  2 [size=\"34007040\", alpha=\"0.12\", expect_size=\"17003520\"] \n  2 -> 12 [size =\"17003520\"]\n  3 [size=\"83945472\", alpha=\"0.10\", expect_size=\"41972736\"] \n  3 -> 10 [size =\"41972736\"]\n  4 [size=\"67145728\", alpha=\"0.04\", expect_size=\"33572864\"] \n  4 -> 7 [size =\"33572864\"]\n  4 -> 10 [size =\"33572864\"]\n  4 -> 11 [size =\"33572864\"]\n  5 [size=\"45985792\", alpha=\"0.14\", expect_size=\"22992896\"] \n  5 -> 8 [size =\"22992896\"]\n  5 -> 9 [size =\"22992896\"]\n  6 [size=\"83183616\", alpha=\"0.15\", expect_size=\"41591808\"] \n  6 -> 8 [size =\"41591808\"]\n  7 [size=\"77201408\", alpha=\"0.05\", expect_size=\"38600704\"] \n  7 -> 14 [size =\"38600704\"]\n  7 -> 17 [size =\"38600704\"]\n  8 [size=\"52326400\", alpha=\"0.15\", expect_size=\"26163200\"] \n  8 -> 13 [size =\"26163200\"]\n  8 -> 14 [size =\"26163200\"]\n  8 -> 17 [size =\"26163200\"]\n  8 -> 18 [size =\"26163200\"]\n  9 [size=\"29014016\", alpha=\"0.07\", expect_size=\"14507008\"] \n  10 [size=\"48832512\", alpha=\"0.05\", expect_size=\"24416256\"] \n  10 -> 15 [size =\"24416256\"]\n  10 -> 16 [size =\"24416256\"]\n  11 [size=\"51249152\", alpha=\"0.11\", expect_size=\"25624576\"] \n  11 -> 18 [size =\"25624576\"]\n  12 [size=\"101883904\", alpha=\"0.06\", expect_size=\"50941952\"] \n  12 -> 17 [size =\"50941952\"]\n  12 -> 18 [size =\"50941952\"]\n  12 -> 19 [size =\"50941952\"]\n  13 [size=\"66025472\", alpha=\"0.13\", expect_size=\"33012736\"] \n  13 -> 20 [size =\"33012736\"]\n  13 -> 22 [size =\"33012736\"]\n  14 [size=\"18006016\", alpha=\"0.16\", expect_size=\"9003008\"] \n  15 [size=\"37206016\", alpha=\"0.10\", expect_size=\"18603008\"] \n  15 -> 20 [size =\"18603008\"]\n  15 -> 21 [size =\"18603008\"]\n  16 [size=\"101640192\", alpha=\"0.01\", expect_size=\"50820096\"] \n  17 [size=\"78548992\", alpha=\"0.03\", expect_size=\"39274496\"] \n  17 -> 21 [size =\"39274496\"]\n  17 -> 23 [size =\"39274496\"]\n  17 -> 24 [size =\"39274496\"]\n  17 -> 25 [size =\"39274496\"]\n  18 [size=\"101244928\", alpha=\"0.06\", expect_size=\"50622464\"] \n  18 -> 23 [size =\"50622464\"]\n  18 -> 23 [size =\"50622464\"]\n  19 [size=\"78508032\", alpha=\"0.07\", expect_size=\"39254016\"] \n  19 -> 24 [size =\"39254016\"]\n  20 [size=\"18366464\", alpha=\"0.15\", expect_size=\"9183232\"] \n  20 -> 27 [size =\"9183232\"]\n  21 [size=\"42694656\", alpha=\"0.16\", expect_size=\"21347328\"] \n  21 -> 27 [size =\"21347328\"]\n  21 -> 28 [size =\"21347328\"]\n  21 -> 29 [size =\"21347328\"]\n  22 [size=\"94992384\", alpha=\"0.02\", expect_size=\"47496192\"] \n  23 [size=\"28897280\", alpha=\"0.04\", expect_size=\"14448640\"] \n  23 -> 26 [size =\"14448640\"]\n  24 [size=\"88911872\", alpha=\"0.18\", expect_size=\"44455936\"] \n  24 -> 27 [size =\"44455936\"]\n  25 [size=\"70649856\", alpha=\"0.19\", expect_size=\"35324928\"] \n  26 [size=\"25778176\", alpha=\"0.16\", expect_size=\"12889088\"] \n  26 -> 30 [size =\"12889088\"]\n  27 [size=\"30343168\", alpha=\"0.07\", expect_size=\"15171584\"] \n  27 -> 33 [size =\"15171584\"]\n  28 [size=\"46708736\", alpha=\"0.07\", expect_size=\"23354368\"] \n  28 -> 30 [size =\"23354368\"]\n  28 -> 31 [size =\"23354368\"]\n  28 -> 32 [size =\"23354368\"]\n  28 -> 34 [size =\"23354368\"]\n  29 [size=\"74295296\", alpha=\"0.10\", expect_size=\"37147648\"] \n  29 -> 33 [size =\"37147648\"]\n  30 [size=\"10743808\", alpha=\"0.02\", expect_size=\"5371904\"] \n  30 -> 35 [size =\"5371904\"]\n  30 -> 36 [size =\"5371904\"]\n  30 -> 37 [size =\"5371904\"]\n  31 [size=\"81854464\", alpha=\"0.02\", expect_size=\"40927232\"] \n  31 -> 40 [size =\"40927232\"]\n  32 [size=\"64342016\", alpha=\"0.02\", expect_size=\"32171008\"] \n  32 -> 39 [size =\"32171008\"]\n  32 -> 40 [size =\"32171008\"]\n  33 [size=\"76103680\", alpha=\"0.14\", expect_size=\"38051840\"] \n  33 -> 38 [size =\"38051840\"]\n  33 -> 39 [size =\"38051840\"]\n  33 -> 41 [size =\"38051840\"]\n  34 [size=\"96225280\", alpha=\"0.07\", expect_size=\"48112640\"] \n  34 -> 35 [size =\"48112640\"]\n  34 -> 36 [size =\"48112640\"]\n  34 -> 37 [size =\"48112640\"]\n  34 -> 39 [size =\"48112640\"]\n  34 -> 41 [size =\"48112640\"]\n  35 [size=\"86996992\", alpha=\"0.06\", expect_size=\"43498496\"] \n  35 -> 42 [size =\"43498496\"]\n  35 -> 43 [size =\"43498496\"]\n  36 [size=\"83920896\", alpha=\"0.04\", expect_size=\"41960448\"] \n  36 -> 44 [size =\"41960448\"]\n  37 [size=\"65325056\", alpha=\"0.16\", expect_size=\"32662528\"] \n  38 [size=\"97923072\", alpha=\"0.08\", expect_size=\"48961536\"] \n  38 -> 43 [size =\"48961536\"]\n  39 [size=\"34816000\", alpha=\"0.14\", expect_size=\"17408000\"] \n  39 -> 43 [size =\"17408000\"]\n  39 -> 44 [size =\"17408000\"]\n  39 -> 45 [size =\"17408000\"]\n  40 [size=\"83273728\", alpha=\"0.02\", expect_size=\"41636864\"] \n  40 -> 42 [size =\"41636864\"]\n  40 -> 44 [size =\"41636864\"]\n  41 [size=\"92903424\", alpha=\"0.17\", expect_size=\"46451712\"] \n  41 -> 42 [size =\"46451712\"]\n  42 [size=\"104468480\", alpha=\"0.10\", expect_size=\"52234240\"] \n  43 [size=\"20623360\", alpha=\"0.06\", expect_size=\"10311680\"] \n  44 [size=\"85651456\", alpha=\"0.19\", expect_size=\"42825728\"] \n  45 [size=\"23961600\", alpha=\"0.05\", expect_size=\"11980800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56104960\", alpha=\"0.12\", expect_size=\"16831488\"] \n  1 -> 4 [size =\"16831488\"]\n  1 -> 5 [size =\"16831488\"]\n  2 [size=\"115817813\", alpha=\"0.07\", expect_size=\"34745344\"] \n  2 -> 4 [size =\"34745344\"]\n  2 -> 5 [size =\"34745344\"]\n  3 [size=\"128532480\", alpha=\"0.17\", expect_size=\"38559744\"] \n  3 -> 4 [size =\"38559744\"]\n  3 -> 5 [size =\"38559744\"]\n  4 [size=\"49486507\", alpha=\"0.07\", expect_size=\"14845952\"] \n  4 -> 6 [size =\"14845952\"]\n  4 -> 7 [size =\"14845952\"]\n  5 [size=\"89388373\", alpha=\"0.17\", expect_size=\"26816512\"] \n  5 -> 7 [size =\"26816512\"]\n  6 [size=\"139874987\", alpha=\"0.07\", expect_size=\"41962496\"] \n  6 -> 9 [size =\"41962496\"]\n  7 [size=\"69454507\", alpha=\"0.16\", expect_size=\"20836352\"] \n  7 -> 8 [size =\"20836352\"]\n  7 -> 9 [size =\"20836352\"]\n  8 [size=\"155487573\", alpha=\"0.17\", expect_size=\"46646272\"] \n  8 -> 11 [size =\"46646272\"]\n  9 [size=\"34491733\", alpha=\"0.12\", expect_size=\"10347520\"] \n  9 -> 10 [size =\"10347520\"]\n  9 -> 11 [size =\"10347520\"]\n  9 -> 12 [size =\"10347520\"]\n  10 [size=\"152156160\", alpha=\"0.03\", expect_size=\"45646848\"] \n  10 -> 13 [size =\"45646848\"]\n  11 [size=\"55736320\", alpha=\"0.06\", expect_size=\"16720896\"] \n  11 -> 13 [size =\"16720896\"]\n  12 [size=\"147858773\", alpha=\"0.02\", expect_size=\"44357632\"] \n  12 -> 14 [size =\"44357632\"]\n  12 -> 15 [size =\"44357632\"]\n  13 [size=\"49489920\", alpha=\"0.06\", expect_size=\"14846976\"] \n  13 -> 16 [size =\"14846976\"]\n  13 -> 17 [size =\"14846976\"]\n  13 -> 18 [size =\"14846976\"]\n  14 [size=\"22009173\", alpha=\"0.06\", expect_size=\"6602752\"] \n  14 -> 16 [size =\"6602752\"]\n  14 -> 17 [size =\"6602752\"]\n  14 -> 18 [size =\"6602752\"]\n  15 [size=\"80469333\", alpha=\"0.18\", expect_size=\"24140800\"] \n  15 -> 16 [size =\"24140800\"]\n  15 -> 17 [size =\"24140800\"]\n  15 -> 18 [size =\"24140800\"]\n  16 [size=\"58654720\", alpha=\"0.11\", expect_size=\"17596416\"] \n  16 -> 19 [size =\"17596416\"]\n  16 -> 20 [size =\"17596416\"]\n  17 [size=\"116899840\", alpha=\"0.04\", expect_size=\"35069952\"] \n  17 -> 20 [size =\"35069952\"]\n  18 [size=\"81889280\", alpha=\"0.08\", expect_size=\"24566784\"] \n  18 -> 19 [size =\"24566784\"]\n  19 [size=\"56436053\", alpha=\"0.10\", expect_size=\"16930816\"] \n  19 -> 21 [size =\"16930816\"]\n  19 -> 22 [size =\"16930816\"]\n  19 -> 23 [size =\"16930816\"]\n  20 [size=\"152173227\", alpha=\"0.17\", expect_size=\"45651968\"] \n  20 -> 22 [size =\"45651968\"]\n  21 [size=\"174042453\", alpha=\"0.09\", expect_size=\"52212736\"] \n  21 -> 24 [size =\"52212736\"]\n  21 -> 26 [size =\"52212736\"]\n  22 [size=\"67331413\", alpha=\"0.13\", expect_size=\"20199424\"] \n  22 -> 24 [size =\"20199424\"]\n  23 [size=\"83886080\", alpha=\"0.12\", expect_size=\"25165824\"] \n  23 -> 24 [size =\"25165824\"]\n  23 -> 25 [size =\"25165824\"]\n  23 -> 26 [size =\"25165824\"]\n  24 [size=\"129477973\", alpha=\"0.14\", expect_size=\"38843392\"] \n  24 -> 27 [size =\"38843392\"]\n  24 -> 28 [size =\"38843392\"]\n  25 [size=\"19049813\", alpha=\"0.06\", expect_size=\"5714944\"] \n  25 -> 27 [size =\"5714944\"]\n  26 [size=\"160290133\", alpha=\"0.13\", expect_size=\"48087040\"] \n  26 -> 27 [size =\"48087040\"]\n  26 -> 28 [size =\"48087040\"]\n  27 [size=\"91091627\", alpha=\"0.07\", expect_size=\"27327488\"] \n  27 -> 29 [size =\"27327488\"]\n  27 -> 30 [size =\"27327488\"]\n  28 [size=\"122210987\", alpha=\"0.18\", expect_size=\"36663296\"] \n  28 -> 29 [size =\"36663296\"]\n  28 -> 30 [size =\"36663296\"]\n  29 [size=\"25207467\", alpha=\"0.11\", expect_size=\"7562240\"] \n  29 -> 31 [size =\"7562240\"]\n  29 -> 32 [size =\"7562240\"]\n  29 -> 33 [size =\"7562240\"]\n  30 [size=\"106178560\", alpha=\"0.02\", expect_size=\"31853568\"] \n  30 -> 31 [size =\"31853568\"]\n  30 -> 33 [size =\"31853568\"]\n  31 [size=\"83773440\", alpha=\"0.18\", expect_size=\"25132032\"] \n  31 -> 34 [size =\"25132032\"]\n  31 -> 35 [size =\"25132032\"]\n  31 -> 36 [size =\"25132032\"]\n  32 [size=\"153914027\", alpha=\"0.10\", expect_size=\"46174208\"] \n  32 -> 34 [size =\"46174208\"]\n  32 -> 35 [size =\"46174208\"]\n  33 [size=\"100362240\", alpha=\"0.06\", expect_size=\"30108672\"] \n  33 -> 34 [size =\"30108672\"]\n  34 [size=\"34184533\", alpha=\"0.02\", expect_size=\"10255360\"] \n  35 [size=\"144670720\", alpha=\"0.07\", expect_size=\"43401216\"] \n  35 -> 38 [size =\"43401216\"]\n  35 -> 39 [size =\"43401216\"]\n  36 [size=\"31880533\", alpha=\"0.17\", expect_size=\"9564160\"] \n  36 -> 37 [size =\"9564160\"]\n  36 -> 38 [size =\"9564160\"]\n  36 -> 39 [size =\"9564160\"]\n  37 [size=\"132782080\", alpha=\"0.20\", expect_size=\"39834624\"] \n  37 -> 40 [size =\"39834624\"]\n  38 [size=\"27497813\", alpha=\"0.11\", expect_size=\"8249344\"] \n  39 [size=\"168608427\", alpha=\"0.06\", expect_size=\"50582528\"] \n  39 -> 41 [size =\"50582528\"]\n  40 [size=\"101280427\", alpha=\"0.19\", expect_size=\"30384128\"] \n  40 -> 42 [size =\"30384128\"]\n  40 -> 43 [size =\"30384128\"]\n  41 [size=\"117473280\", alpha=\"0.12\", expect_size=\"35241984\"] \n  41 -> 42 [size =\"35241984\"]\n  41 -> 43 [size =\"35241984\"]\n  41 -> 44 [size =\"35241984\"]\n  42 [size=\"98170880\", alpha=\"0.11\", expect_size=\"29451264\"] \n  43 [size=\"173748907\", alpha=\"0.19\", expect_size=\"52124672\"] \n  43 -> 45 [size =\"52124672\"]\n  44 [size=\"61655040\", alpha=\"0.00\", expect_size=\"18496512\"] \n  45 [size=\"80994987\", alpha=\"0.02\", expect_size=\"24298496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79848960\", alpha=\"0.01\", expect_size=\"31939584\"] \n  1 -> 2 [size =\"31939584\"]\n  2 [size=\"129285120\", alpha=\"0.11\", expect_size=\"51714048\"] \n  2 -> 3 [size =\"51714048\"]\n  3 [size=\"98009600\", alpha=\"0.05\", expect_size=\"39203840\"] \n  3 -> 4 [size =\"39203840\"]\n  4 [size=\"112440320\", alpha=\"0.08\", expect_size=\"44976128\"] \n  4 -> 5 [size =\"44976128\"]\n  5 [size=\"83128320\", alpha=\"0.02\", expect_size=\"33251328\"] \n  5 -> 6 [size =\"33251328\"]\n  6 [size=\"25036800\", alpha=\"0.02\", expect_size=\"10014720\"] \n  6 -> 7 [size =\"10014720\"]\n  7 [size=\"122352640\", alpha=\"0.16\", expect_size=\"48941056\"] \n  7 -> 8 [size =\"48941056\"]\n  8 [size=\"87429120\", alpha=\"0.05\", expect_size=\"34971648\"] \n  8 -> 9 [size =\"34971648\"]\n  9 [size=\"111406080\", alpha=\"0.17\", expect_size=\"44562432\"] \n  9 -> 10 [size =\"44562432\"]\n  10 [size=\"86100480\", alpha=\"0.05\", expect_size=\"34440192\"] \n  10 -> 11 [size =\"34440192\"]\n  11 [size=\"46269440\", alpha=\"0.05\", expect_size=\"18507776\"] \n  11 -> 12 [size =\"18507776\"]\n  12 [size=\"53242880\", alpha=\"0.08\", expect_size=\"21297152\"] \n  12 -> 13 [size =\"21297152\"]\n  13 [size=\"120348160\", alpha=\"0.15\", expect_size=\"48139264\"] \n  13 -> 14 [size =\"48139264\"]\n  14 [size=\"33315840\", alpha=\"0.16\", expect_size=\"13326336\"] \n  14 -> 15 [size =\"13326336\"]\n  15 [size=\"81666560\", alpha=\"0.19\", expect_size=\"32666624\"] \n  15 -> 16 [size =\"32666624\"]\n  16 [size=\"94392320\", alpha=\"0.05\", expect_size=\"37756928\"] \n  16 -> 17 [size =\"37756928\"]\n  17 [size=\"107965440\", alpha=\"0.14\", expect_size=\"43186176\"] \n  17 -> 18 [size =\"43186176\"]\n  18 [size=\"87311360\", alpha=\"0.06\", expect_size=\"34924544\"] \n  18 -> 19 [size =\"34924544\"]\n  19 [size=\"114800640\", alpha=\"0.03\", expect_size=\"45920256\"] \n  19 -> 20 [size =\"45920256\"]\n  20 [size=\"98129920\", alpha=\"0.16\", expect_size=\"39251968\"] \n  20 -> 21 [size =\"39251968\"]\n  21 [size=\"125693440\", alpha=\"0.01\", expect_size=\"50277376\"] \n  21 -> 22 [size =\"50277376\"]\n  22 [size=\"36042240\", alpha=\"0.05\", expect_size=\"14416896\"] \n  22 -> 23 [size =\"14416896\"]\n  23 [size=\"80811520\", alpha=\"0.04\", expect_size=\"32324608\"] \n  23 -> 24 [size =\"32324608\"]\n  24 [size=\"51816960\", alpha=\"0.20\", expect_size=\"20726784\"] \n  24 -> 25 [size =\"20726784\"]\n  25 [size=\"27773440\", alpha=\"0.07\", expect_size=\"11109376\"] \n  25 -> 26 [size =\"11109376\"]\n  26 [size=\"20142080\", alpha=\"0.17\", expect_size=\"8056832\"] \n  26 -> 27 [size =\"8056832\"]\n  27 [size=\"51648000\", alpha=\"0.05\", expect_size=\"20659200\"] \n  27 -> 28 [size =\"20659200\"]\n  28 [size=\"18483200\", alpha=\"0.06\", expect_size=\"7393280\"] \n  28 -> 29 [size =\"7393280\"]\n  29 [size=\"52200960\", alpha=\"0.03\", expect_size=\"20880384\"] \n  29 -> 30 [size =\"20880384\"]\n  30 [size=\"67266560\", alpha=\"0.13\", expect_size=\"26906624\"] \n  30 -> 31 [size =\"26906624\"]\n  31 [size=\"43827200\", alpha=\"0.09\", expect_size=\"17530880\"] \n  31 -> 32 [size =\"17530880\"]\n  32 [size=\"48622080\", alpha=\"0.11\", expect_size=\"19448832\"] \n  32 -> 33 [size =\"19448832\"]\n  33 [size=\"79864320\", alpha=\"0.11\", expect_size=\"31945728\"] \n  33 -> 34 [size =\"31945728\"]\n  34 [size=\"104496640\", alpha=\"0.15\", expect_size=\"41798656\"] \n  34 -> 35 [size =\"41798656\"]\n  35 [size=\"103887360\", alpha=\"0.10\", expect_size=\"41554944\"] \n  35 -> 36 [size =\"41554944\"]\n  36 [size=\"30097920\", alpha=\"0.20\", expect_size=\"12039168\"] \n  36 -> 37 [size =\"12039168\"]\n  37 [size=\"130982400\", alpha=\"0.05\", expect_size=\"52392960\"] \n  37 -> 38 [size =\"52392960\"]\n  38 [size=\"43932160\", alpha=\"0.03\", expect_size=\"17572864\"] \n  38 -> 39 [size =\"17572864\"]\n  39 [size=\"79196160\", alpha=\"0.18\", expect_size=\"31678464\"] \n  39 -> 40 [size =\"31678464\"]\n  40 [size=\"99148800\", alpha=\"0.07\", expect_size=\"39659520\"] \n  40 -> 41 [size =\"39659520\"]\n  41 [size=\"58818560\", alpha=\"0.16\", expect_size=\"23527424\"] \n  41 -> 42 [size =\"23527424\"]\n  42 [size=\"109332480\", alpha=\"0.09\", expect_size=\"43732992\"] \n  42 -> 43 [size =\"43732992\"]\n  43 [size=\"54899200\", alpha=\"0.13\", expect_size=\"21959680\"] \n  43 -> 44 [size =\"21959680\"]\n  44 [size=\"120724480\", alpha=\"0.03\", expect_size=\"48289792\"] \n  44 -> 45 [size =\"48289792\"]\n  45 [size=\"91092480\", alpha=\"0.16\", expect_size=\"36436992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56535040\", alpha=\"0.09\", expect_size=\"16960512\"] \n  1 -> 2 [size =\"16960512\"]\n  2 [size=\"126484480\", alpha=\"0.05\", expect_size=\"37945344\"] \n  2 -> 3 [size =\"37945344\"]\n  3 [size=\"107014827\", alpha=\"0.07\", expect_size=\"32104448\"] \n  3 -> 4 [size =\"32104448\"]\n  4 [size=\"163734187\", alpha=\"0.09\", expect_size=\"49120256\"] \n  4 -> 5 [size =\"49120256\"]\n  5 [size=\"111264427\", alpha=\"0.07\", expect_size=\"33379328\"] \n  5 -> 6 [size =\"33379328\"]\n  6 [size=\"131676160\", alpha=\"0.15\", expect_size=\"39502848\"] \n  6 -> 7 [size =\"39502848\"]\n  7 [size=\"95873707\", alpha=\"0.10\", expect_size=\"28762112\"] \n  7 -> 8 [size =\"28762112\"]\n  8 [size=\"20118187\", alpha=\"0.13\", expect_size=\"6035456\"] \n  8 -> 9 [size =\"6035456\"]\n  9 [size=\"36867413\", alpha=\"0.14\", expect_size=\"11060224\"] \n  9 -> 10 [size =\"11060224\"]\n  10 [size=\"147933867\", alpha=\"0.06\", expect_size=\"44380160\"] \n  10 -> 11 [size =\"44380160\"]\n  11 [size=\"19725653\", alpha=\"0.19\", expect_size=\"5917696\"] \n  11 -> 12 [size =\"5917696\"]\n  12 [size=\"89381547\", alpha=\"0.03\", expect_size=\"26814464\"] \n  12 -> 13 [size =\"26814464\"]\n  13 [size=\"132485120\", alpha=\"0.03\", expect_size=\"39745536\"] \n  13 -> 14 [size =\"39745536\"]\n  14 [size=\"33447253\", alpha=\"0.06\", expect_size=\"10034176\"] \n  14 -> 15 [size =\"10034176\"]\n  15 [size=\"107919360\", alpha=\"0.08\", expect_size=\"32375808\"] \n  15 -> 16 [size =\"32375808\"]\n  16 [size=\"163413333\", alpha=\"0.18\", expect_size=\"49024000\"] \n  16 -> 17 [size =\"49024000\"]\n  17 [size=\"125242027\", alpha=\"0.08\", expect_size=\"37572608\"] \n  17 -> 18 [size =\"37572608\"]\n  18 [size=\"47185920\", alpha=\"0.06\", expect_size=\"14155776\"] \n  18 -> 19 [size =\"14155776\"]\n  19 [size=\"152459947\", alpha=\"0.16\", expect_size=\"45737984\"] \n  19 -> 20 [size =\"45737984\"]\n  20 [size=\"108462080\", alpha=\"0.07\", expect_size=\"32538624\"] \n  20 -> 21 [size =\"32538624\"]\n  21 [size=\"159030613\", alpha=\"0.03\", expect_size=\"47709184\"] \n  21 -> 22 [size =\"47709184\"]\n  22 [size=\"154501120\", alpha=\"0.13\", expect_size=\"46350336\"] \n  22 -> 23 [size =\"46350336\"]\n  23 [size=\"18916693\", alpha=\"0.15\", expect_size=\"5675008\"] \n  23 -> 24 [size =\"5675008\"]\n  24 [size=\"41779200\", alpha=\"0.15\", expect_size=\"12533760\"] \n  24 -> 25 [size =\"12533760\"]\n  25 [size=\"85121707\", alpha=\"0.07\", expect_size=\"25536512\"] \n  25 -> 26 [size =\"25536512\"]\n  26 [size=\"146384213\", alpha=\"0.13\", expect_size=\"43915264\"] \n  26 -> 27 [size =\"43915264\"]\n  27 [size=\"134225920\", alpha=\"0.09\", expect_size=\"40267776\"] \n  27 -> 28 [size =\"40267776\"]\n  28 [size=\"40888320\", alpha=\"0.06\", expect_size=\"12266496\"] \n  28 -> 29 [size =\"12266496\"]\n  29 [size=\"84377600\", alpha=\"0.05\", expect_size=\"25313280\"] \n  29 -> 30 [size =\"25313280\"]\n  30 [size=\"53145600\", alpha=\"0.01\", expect_size=\"15943680\"] \n  30 -> 31 [size =\"15943680\"]\n  31 [size=\"109738667\", alpha=\"0.17\", expect_size=\"32921600\"] \n  31 -> 32 [size =\"32921600\"]\n  32 [size=\"135932587\", alpha=\"0.02\", expect_size=\"40779776\"] \n  32 -> 33 [size =\"40779776\"]\n  33 [size=\"83449173\", alpha=\"0.02\", expect_size=\"25034752\"] \n  33 -> 34 [size =\"25034752\"]\n  34 [size=\"41830400\", alpha=\"0.04\", expect_size=\"12549120\"] \n  34 -> 35 [size =\"12549120\"]\n  35 [size=\"157341013\", alpha=\"0.18\", expect_size=\"47202304\"] \n  35 -> 36 [size =\"47202304\"]\n  36 [size=\"51906560\", alpha=\"0.09\", expect_size=\"15571968\"] \n  36 -> 37 [size =\"15571968\"]\n  37 [size=\"154299733\", alpha=\"0.15\", expect_size=\"46289920\"] \n  37 -> 38 [size =\"46289920\"]\n  38 [size=\"71065600\", alpha=\"0.04\", expect_size=\"21319680\"] \n  38 -> 39 [size =\"21319680\"]\n  39 [size=\"119422293\", alpha=\"0.11\", expect_size=\"35826688\"] \n  39 -> 40 [size =\"35826688\"]\n  40 [size=\"161471147\", alpha=\"0.09\", expect_size=\"48441344\"] \n  40 -> 41 [size =\"48441344\"]\n  41 [size=\"170386773\", alpha=\"0.05\", expect_size=\"51116032\"] \n  41 -> 42 [size =\"51116032\"]\n  42 [size=\"148421973\", alpha=\"0.19\", expect_size=\"44526592\"] \n  42 -> 43 [size =\"44526592\"]\n  43 [size=\"167478613\", alpha=\"0.13\", expect_size=\"50243584\"] \n  43 -> 44 [size =\"50243584\"]\n  44 [size=\"27999573\", alpha=\"0.10\", expect_size=\"8399872\"] \n  44 -> 45 [size =\"8399872\"]\n  45 [size=\"60528640\", alpha=\"0.15\", expect_size=\"18158592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38929067\", alpha=\"0.12\", expect_size=\"11678720\"] \n  1 -> 38 [size =\"11678720\"]\n  1 -> 39 [size =\"11678720\"]\n  1 -> 41 [size =\"11678720\"]\n  1 -> 42 [size =\"11678720\"]\n  2 [size=\"155371520\", alpha=\"0.14\", expect_size=\"46611456\"] \n  2 -> 38 [size =\"46611456\"]\n  2 -> 39 [size =\"46611456\"]\n  2 -> 41 [size =\"46611456\"]\n  2 -> 42 [size =\"46611456\"]\n  2 -> 43 [size =\"46611456\"]\n  2 -> 44 [size =\"46611456\"]\n  3 [size=\"155801600\", alpha=\"0.12\", expect_size=\"46740480\"] \n  3 -> 38 [size =\"46740480\"]\n  3 -> 39 [size =\"46740480\"]\n  3 -> 40 [size =\"46740480\"]\n  3 -> 41 [size =\"46740480\"]\n  3 -> 43 [size =\"46740480\"]\n  3 -> 44 [size =\"46740480\"]\n  4 [size=\"49189547\", alpha=\"0.12\", expect_size=\"14756864\"] \n  4 -> 38 [size =\"14756864\"]\n  4 -> 39 [size =\"14756864\"]\n  5 [size=\"127153493\", alpha=\"0.02\", expect_size=\"38146048\"] \n  5 -> 38 [size =\"38146048\"]\n  5 -> 39 [size =\"38146048\"]\n  5 -> 41 [size =\"38146048\"]\n  5 -> 43 [size =\"38146048\"]\n  6 [size=\"91757227\", alpha=\"0.03\", expect_size=\"27527168\"] \n  6 -> 38 [size =\"27527168\"]\n  6 -> 39 [size =\"27527168\"]\n  6 -> 41 [size =\"27527168\"]\n  6 -> 43 [size =\"27527168\"]\n  7 [size=\"20575573\", alpha=\"0.00\", expect_size=\"6172672\"] \n  7 -> 38 [size =\"6172672\"]\n  7 -> 39 [size =\"6172672\"]\n  7 -> 42 [size =\"6172672\"]\n  7 -> 44 [size =\"6172672\"]\n  7 -> 45 [size =\"6172672\"]\n  8 [size=\"33416533\", alpha=\"0.01\", expect_size=\"10024960\"] \n  8 -> 39 [size =\"10024960\"]\n  8 -> 44 [size =\"10024960\"]\n  8 -> 45 [size =\"10024960\"]\n  9 [size=\"109356373\", alpha=\"0.01\", expect_size=\"32806912\"] \n  9 -> 40 [size =\"32806912\"]\n  9 -> 42 [size =\"32806912\"]\n  9 -> 45 [size =\"32806912\"]\n  10 [size=\"57644373\", alpha=\"0.16\", expect_size=\"17293312\"] \n  10 -> 39 [size =\"17293312\"]\n  10 -> 40 [size =\"17293312\"]\n  11 [size=\"131331413\", alpha=\"0.06\", expect_size=\"39399424\"] \n  11 -> 40 [size =\"39399424\"]\n  12 [size=\"70580907\", alpha=\"0.09\", expect_size=\"21174272\"] \n  12 -> 38 [size =\"21174272\"]\n  12 -> 40 [size =\"21174272\"]\n  12 -> 42 [size =\"21174272\"]\n  12 -> 44 [size =\"21174272\"]\n  13 [size=\"19923627\", alpha=\"0.10\", expect_size=\"5977088\"] \n  13 -> 38 [size =\"5977088\"]\n  13 -> 39 [size =\"5977088\"]\n  13 -> 41 [size =\"5977088\"]\n  13 -> 43 [size =\"5977088\"]\n  14 [size=\"117196800\", alpha=\"0.17\", expect_size=\"35159040\"] \n  14 -> 38 [size =\"35159040\"]\n  14 -> 40 [size =\"35159040\"]\n  14 -> 41 [size =\"35159040\"]\n  14 -> 43 [size =\"35159040\"]\n  14 -> 44 [size =\"35159040\"]\n  14 -> 45 [size =\"35159040\"]\n  15 [size=\"51486720\", alpha=\"0.06\", expect_size=\"15446016\"] \n  15 -> 41 [size =\"15446016\"]\n  15 -> 45 [size =\"15446016\"]\n  16 [size=\"70574080\", alpha=\"0.14\", expect_size=\"21172224\"] \n  16 -> 41 [size =\"21172224\"]\n  16 -> 42 [size =\"21172224\"]\n  16 -> 43 [size =\"21172224\"]\n  16 -> 45 [size =\"21172224\"]\n  17 [size=\"94989653\", alpha=\"0.13\", expect_size=\"28496896\"] \n  17 -> 38 [size =\"28496896\"]\n  17 -> 39 [size =\"28496896\"]\n  17 -> 41 [size =\"28496896\"]\n  17 -> 42 [size =\"28496896\"]\n  17 -> 43 [size =\"28496896\"]\n  17 -> 44 [size =\"28496896\"]\n  17 -> 45 [size =\"28496896\"]\n  18 [size=\"95406080\", alpha=\"0.15\", expect_size=\"28621824\"] \n  18 -> 38 [size =\"28621824\"]\n  18 -> 39 [size =\"28621824\"]\n  18 -> 41 [size =\"28621824\"]\n  18 -> 42 [size =\"28621824\"]\n  18 -> 43 [size =\"28621824\"]\n  19 [size=\"105291093\", alpha=\"0.13\", expect_size=\"31587328\"] \n  19 -> 39 [size =\"31587328\"]\n  19 -> 41 [size =\"31587328\"]\n  20 [size=\"115667627\", alpha=\"0.16\", expect_size=\"34700288\"] \n  20 -> 41 [size =\"34700288\"]\n  20 -> 43 [size =\"34700288\"]\n  20 -> 45 [size =\"34700288\"]\n  21 [size=\"85531307\", alpha=\"0.01\", expect_size=\"25659392\"] \n  21 -> 38 [size =\"25659392\"]\n  21 -> 42 [size =\"25659392\"]\n  21 -> 43 [size =\"25659392\"]\n  22 [size=\"131324587\", alpha=\"0.05\", expect_size=\"39397376\"] \n  22 -> 38 [size =\"39397376\"]\n  22 -> 39 [size =\"39397376\"]\n  22 -> 40 [size =\"39397376\"]\n  22 -> 41 [size =\"39397376\"]\n  22 -> 42 [size =\"39397376\"]\n  23 [size=\"42154667\", alpha=\"0.06\", expect_size=\"12646400\"] \n  23 -> 38 [size =\"12646400\"]\n  23 -> 39 [size =\"12646400\"]\n  23 -> 40 [size =\"12646400\"]\n  23 -> 42 [size =\"12646400\"]\n  23 -> 44 [size =\"12646400\"]\n  23 -> 45 [size =\"12646400\"]\n  24 [size=\"119009280\", alpha=\"0.11\", expect_size=\"35702784\"] \n  24 -> 38 [size =\"35702784\"]\n  24 -> 39 [size =\"35702784\"]\n  24 -> 40 [size =\"35702784\"]\n  24 -> 42 [size =\"35702784\"]\n  24 -> 43 [size =\"35702784\"]\n  24 -> 45 [size =\"35702784\"]\n  25 [size=\"94225067\", alpha=\"0.09\", expect_size=\"28267520\"] \n  25 -> 38 [size =\"28267520\"]\n  25 -> 39 [size =\"28267520\"]\n  25 -> 41 [size =\"28267520\"]\n  25 -> 42 [size =\"28267520\"]\n  25 -> 45 [size =\"28267520\"]\n  26 [size=\"143175680\", alpha=\"0.18\", expect_size=\"42952704\"] \n  26 -> 38 [size =\"42952704\"]\n  26 -> 40 [size =\"42952704\"]\n  26 -> 43 [size =\"42952704\"]\n  26 -> 45 [size =\"42952704\"]\n  27 [size=\"98498560\", alpha=\"0.06\", expect_size=\"29549568\"] \n  27 -> 38 [size =\"29549568\"]\n  27 -> 39 [size =\"29549568\"]\n  27 -> 42 [size =\"29549568\"]\n  27 -> 43 [size =\"29549568\"]\n  27 -> 44 [size =\"29549568\"]\n  27 -> 45 [size =\"29549568\"]\n  28 [size=\"46025387\", alpha=\"0.17\", expect_size=\"13807616\"] \n  28 -> 39 [size =\"13807616\"]\n  28 -> 41 [size =\"13807616\"]\n  28 -> 42 [size =\"13807616\"]\n  28 -> 43 [size =\"13807616\"]\n  29 [size=\"163962880\", alpha=\"0.20\", expect_size=\"49188864\"] \n  29 -> 38 [size =\"49188864\"]\n  29 -> 41 [size =\"49188864\"]\n  29 -> 42 [size =\"49188864\"]\n  30 [size=\"105137493\", alpha=\"0.07\", expect_size=\"31541248\"] \n  30 -> 38 [size =\"31541248\"]\n  30 -> 41 [size =\"31541248\"]\n  30 -> 42 [size =\"31541248\"]\n  30 -> 43 [size =\"31541248\"]\n  31 [size=\"70338560\", alpha=\"0.09\", expect_size=\"21101568\"] \n  31 -> 38 [size =\"21101568\"]\n  31 -> 41 [size =\"21101568\"]\n  31 -> 42 [size =\"21101568\"]\n  31 -> 44 [size =\"21101568\"]\n  31 -> 45 [size =\"21101568\"]\n  32 [size=\"81022293\", alpha=\"0.18\", expect_size=\"24306688\"] \n  32 -> 38 [size =\"24306688\"]\n  32 -> 39 [size =\"24306688\"]\n  32 -> 41 [size =\"24306688\"]\n  32 -> 43 [size =\"24306688\"]\n  33 [size=\"117797547\", alpha=\"0.07\", expect_size=\"35339264\"] \n  33 -> 38 [size =\"35339264\"]\n  33 -> 40 [size =\"35339264\"]\n  33 -> 42 [size =\"35339264\"]\n  33 -> 45 [size =\"35339264\"]\n  34 [size=\"161706667\", alpha=\"0.09\", expect_size=\"48512000\"] \n  34 -> 40 [size =\"48512000\"]\n  34 -> 41 [size =\"48512000\"]\n  34 -> 42 [size =\"48512000\"]\n  34 -> 43 [size =\"48512000\"]\n  34 -> 44 [size =\"48512000\"]\n  34 -> 45 [size =\"48512000\"]\n  35 [size=\"87176533\", alpha=\"0.15\", expect_size=\"26152960\"] \n  35 -> 39 [size =\"26152960\"]\n  35 -> 40 [size =\"26152960\"]\n  35 -> 41 [size =\"26152960\"]\n  35 -> 42 [size =\"26152960\"]\n  35 -> 43 [size =\"26152960\"]\n  35 -> 44 [size =\"26152960\"]\n  36 [size=\"161170773\", alpha=\"0.08\", expect_size=\"48351232\"] \n  36 -> 39 [size =\"48351232\"]\n  36 -> 41 [size =\"48351232\"]\n  36 -> 41 [size =\"48351232\"]\n  36 -> 42 [size =\"48351232\"]\n  36 -> 44 [size =\"48351232\"]\n  37 [size=\"143404373\", alpha=\"0.10\", expect_size=\"43021312\"] \n  37 -> 39 [size =\"43021312\"]\n  37 -> 41 [size =\"43021312\"]\n  37 -> 42 [size =\"43021312\"]\n  37 -> 42 [size =\"43021312\"]\n  38 [size=\"36969813\", alpha=\"0.03\", expect_size=\"11090944\"] \n  39 [size=\"172386987\", alpha=\"0.07\", expect_size=\"51716096\"] \n  40 [size=\"169676800\", alpha=\"0.03\", expect_size=\"50903040\"] \n  41 [size=\"69014187\", alpha=\"0.08\", expect_size=\"20704256\"] \n  42 [size=\"141540693\", alpha=\"0.07\", expect_size=\"42462208\"] \n  43 [size=\"125791573\", alpha=\"0.10\", expect_size=\"37737472\"] \n  44 [size=\"24210773\", alpha=\"0.05\", expect_size=\"7263232\"] \n  45 [size=\"93812053\", alpha=\"0.11\", expect_size=\"28143616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52606293\", alpha=\"0.07\", expect_size=\"15781888\"] \n  1 -> 2 [size =\"15781888\"]\n  2 [size=\"55384747\", alpha=\"0.17\", expect_size=\"16615424\"] \n  2 -> 3 [size =\"16615424\"]\n  3 [size=\"84452693\", alpha=\"0.15\", expect_size=\"25335808\"] \n  3 -> 4 [size =\"25335808\"]\n  4 [size=\"63723520\", alpha=\"0.06\", expect_size=\"19117056\"] \n  4 -> 5 [size =\"19117056\"]\n  5 [size=\"68969813\", alpha=\"0.02\", expect_size=\"20690944\"] \n  5 -> 6 [size =\"20690944\"]\n  6 [size=\"56183467\", alpha=\"0.07\", expect_size=\"16855040\"] \n  6 -> 7 [size =\"16855040\"]\n  7 [size=\"90869760\", alpha=\"0.15\", expect_size=\"27260928\"] \n  7 -> 8 [size =\"27260928\"]\n  8 [size=\"124030293\", alpha=\"0.10\", expect_size=\"37209088\"] \n  8 -> 9 [size =\"37209088\"]\n  9 [size=\"122286080\", alpha=\"0.09\", expect_size=\"36685824\"] \n  9 -> 10 [size =\"36685824\"]\n  10 [size=\"65392640\", alpha=\"0.12\", expect_size=\"19617792\"] \n  10 -> 11 [size =\"19617792\"]\n  11 [size=\"118592853\", alpha=\"0.03\", expect_size=\"35577856\"] \n  11 -> 12 [size =\"35577856\"]\n  12 [size=\"172001280\", alpha=\"0.11\", expect_size=\"51600384\"] \n  12 -> 13 [size =\"51600384\"]\n  13 [size=\"146568533\", alpha=\"0.09\", expect_size=\"43970560\"] \n  13 -> 14 [size =\"43970560\"]\n  14 [size=\"110394027\", alpha=\"0.09\", expect_size=\"33118208\"] \n  14 -> 15 [size =\"33118208\"]\n  15 [size=\"160580267\", alpha=\"0.05\", expect_size=\"48174080\"] \n  15 -> 16 [size =\"48174080\"]\n  16 [size=\"19442347\", alpha=\"0.10\", expect_size=\"5832704\"] \n  16 -> 17 [size =\"5832704\"]\n  17 [size=\"74676907\", alpha=\"0.07\", expect_size=\"22403072\"] \n  17 -> 18 [size =\"22403072\"]\n  18 [size=\"32122880\", alpha=\"0.05\", expect_size=\"9636864\"] \n  18 -> 19 [size =\"9636864\"]\n  19 [size=\"107564373\", alpha=\"0.02\", expect_size=\"32269312\"] \n  19 -> 20 [size =\"32269312\"]\n  20 [size=\"23299413\", alpha=\"0.00\", expect_size=\"6989824\"] \n  20 -> 21 [size =\"6989824\"]\n  21 [size=\"120265387\", alpha=\"0.02\", expect_size=\"36079616\"] \n  21 -> 22 [size =\"36079616\"]\n  22 [size=\"147022507\", alpha=\"0.10\", expect_size=\"44106752\"] \n  22 -> 23 [size =\"44106752\"]\n  23 [size=\"73239893\", alpha=\"0.05\", expect_size=\"21971968\"] \n  23 -> 24 [size =\"21971968\"]\n  24 [size=\"147118080\", alpha=\"0.07\", expect_size=\"44135424\"] \n  24 -> 25 [size =\"44135424\"]\n  25 [size=\"64375467\", alpha=\"0.15\", expect_size=\"19312640\"] \n  25 -> 26 [size =\"19312640\"]\n  26 [size=\"107277653\", alpha=\"0.08\", expect_size=\"32183296\"] \n  26 -> 27 [size =\"32183296\"]\n  27 [size=\"26927787\", alpha=\"0.11\", expect_size=\"8078336\"] \n  27 -> 28 [size =\"8078336\"]\n  28 [size=\"85323093\", alpha=\"0.06\", expect_size=\"25596928\"] \n  28 -> 29 [size =\"25596928\"]\n  29 [size=\"123924480\", alpha=\"0.16\", expect_size=\"37177344\"] \n  29 -> 30 [size =\"37177344\"]\n  30 [size=\"141458773\", alpha=\"0.11\", expect_size=\"42437632\"] \n  30 -> 31 [size =\"42437632\"]\n  31 [size=\"142469120\", alpha=\"0.19\", expect_size=\"42740736\"] \n  31 -> 32 [size =\"42740736\"]\n  32 [size=\"162088960\", alpha=\"0.07\", expect_size=\"48626688\"] \n  32 -> 33 [size =\"48626688\"]\n  33 [size=\"80936960\", alpha=\"0.11\", expect_size=\"24281088\"] \n  33 -> 34 [size =\"24281088\"]\n  34 [size=\"123282773\", alpha=\"0.08\", expect_size=\"36984832\"] \n  34 -> 35 [size =\"36984832\"]\n  35 [size=\"20800853\", alpha=\"0.02\", expect_size=\"6240256\"] \n  35 -> 36 [size =\"6240256\"]\n  36 [size=\"139557547\", alpha=\"0.16\", expect_size=\"41867264\"] \n  36 -> 37 [size =\"41867264\"]\n  37 [size=\"46407680\", alpha=\"0.18\", expect_size=\"13922304\"] \n  37 -> 38 [size =\"13922304\"]\n  38 [size=\"129310720\", alpha=\"0.02\", expect_size=\"38793216\"] \n  38 -> 39 [size =\"38793216\"]\n  39 [size=\"22971733\", alpha=\"0.17\", expect_size=\"6891520\"] \n  39 -> 40 [size =\"6891520\"]\n  40 [size=\"146773333\", alpha=\"0.13\", expect_size=\"44032000\"] \n  40 -> 41 [size =\"44032000\"]\n  41 [size=\"76769280\", alpha=\"0.02\", expect_size=\"23030784\"] \n  41 -> 42 [size =\"23030784\"]\n  42 [size=\"71369387\", alpha=\"0.07\", expect_size=\"21410816\"] \n  42 -> 43 [size =\"21410816\"]\n  43 [size=\"127808853\", alpha=\"0.20\", expect_size=\"38342656\"] \n  43 -> 44 [size =\"38342656\"]\n  44 [size=\"60613973\", alpha=\"0.09\", expect_size=\"18184192\"] \n  44 -> 45 [size =\"18184192\"]\n  45 [size=\"119985493\", alpha=\"0.04\", expect_size=\"35995648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113610240\", alpha=\"0.12\", expect_size=\"45444096\"] \n  1 -> 17 [size =\"45444096\"]\n  1 -> 19 [size =\"45444096\"]\n  1 -> 21 [size =\"45444096\"]\n  2 [size=\"55598080\", alpha=\"0.18\", expect_size=\"22239232\"] \n  2 -> 19 [size =\"22239232\"]\n  3 [size=\"90780160\", alpha=\"0.09\", expect_size=\"36312064\"] \n  3 -> 24 [size =\"36312064\"]\n  4 [size=\"106460160\", alpha=\"0.16\", expect_size=\"42584064\"] \n  5 [size=\"113326080\", alpha=\"0.03\", expect_size=\"45330432\"] \n  5 -> 20 [size =\"45330432\"]\n  5 -> 22 [size =\"45330432\"]\n  5 -> 24 [size =\"45330432\"]\n  6 [size=\"107950080\", alpha=\"0.13\", expect_size=\"43180032\"] \n  6 -> 19 [size =\"43180032\"]\n  6 -> 20 [size =\"43180032\"]\n  6 -> 21 [size =\"43180032\"]\n  7 [size=\"50234880\", alpha=\"0.20\", expect_size=\"20093952\"] \n  7 -> 19 [size =\"20093952\"]\n  7 -> 20 [size =\"20093952\"]\n  8 [size=\"69736960\", alpha=\"0.13\", expect_size=\"27894784\"] \n  8 -> 19 [size =\"27894784\"]\n  9 [size=\"123399680\", alpha=\"0.12\", expect_size=\"49359872\"] \n  10 [size=\"84984320\", alpha=\"0.19\", expect_size=\"33993728\"] \n  10 -> 18 [size =\"33993728\"]\n  10 -> 21 [size =\"33993728\"]\n  11 [size=\"115801600\", alpha=\"0.04\", expect_size=\"46320640\"] \n  11 -> 21 [size =\"46320640\"]\n  11 -> 21 [size =\"46320640\"]\n  11 -> 23 [size =\"46320640\"]\n  12 [size=\"66685440\", alpha=\"0.17\", expect_size=\"26674176\"] \n  12 -> 20 [size =\"26674176\"]\n  12 -> 21 [size =\"26674176\"]\n  13 [size=\"53882880\", alpha=\"0.14\", expect_size=\"21553152\"] \n  14 [size=\"107660800\", alpha=\"0.17\", expect_size=\"43064320\"] \n  14 -> 18 [size =\"43064320\"]\n  15 [size=\"84515840\", alpha=\"0.08\", expect_size=\"33806336\"] \n  15 -> 18 [size =\"33806336\"]\n  15 -> 21 [size =\"33806336\"]\n  16 [size=\"105029120\", alpha=\"0.04\", expect_size=\"42011648\"] \n  16 -> 18 [size =\"42011648\"]\n  16 -> 19 [size =\"42011648\"]\n  16 -> 21 [size =\"42011648\"]\n  16 -> 22 [size =\"42011648\"]\n  16 -> 24 [size =\"42011648\"]\n  17 [size=\"65349120\", alpha=\"0.16\", expect_size=\"26139648\"] \n  17 -> 28 [size =\"26139648\"]\n  18 [size=\"65131520\", alpha=\"0.04\", expect_size=\"26052608\"] \n  18 -> 26 [size =\"26052608\"]\n  18 -> 31 [size =\"26052608\"]\n  18 -> 32 [size =\"26052608\"]\n  18 -> 34 [size =\"26052608\"]\n  19 [size=\"24404480\", alpha=\"0.15\", expect_size=\"9761792\"] \n  19 -> 28 [size =\"9761792\"]\n  20 [size=\"96832000\", alpha=\"0.08\", expect_size=\"38732800\"] \n  20 -> 25 [size =\"38732800\"]\n  20 -> 34 [size =\"38732800\"]\n  21 [size=\"92323840\", alpha=\"0.18\", expect_size=\"36929536\"] \n  21 -> 25 [size =\"36929536\"]\n  21 -> 29 [size =\"36929536\"]\n  21 -> 31 [size =\"36929536\"]\n  21 -> 32 [size =\"36929536\"]\n  21 -> 34 [size =\"36929536\"]\n  22 [size=\"118643200\", alpha=\"0.15\", expect_size=\"47457280\"] \n  22 -> 29 [size =\"47457280\"]\n  22 -> 30 [size =\"47457280\"]\n  22 -> 31 [size =\"47457280\"]\n  22 -> 33 [size =\"47457280\"]\n  23 [size=\"98170880\", alpha=\"0.05\", expect_size=\"39268352\"] \n  23 -> 26 [size =\"39268352\"]\n  23 -> 31 [size =\"39268352\"]\n  23 -> 32 [size =\"39268352\"]\n  23 -> 35 [size =\"39268352\"]\n  24 [size=\"60239360\", alpha=\"0.11\", expect_size=\"24095744\"] \n  24 -> 27 [size =\"24095744\"]\n  24 -> 28 [size =\"24095744\"]\n  24 -> 32 [size =\"24095744\"]\n  25 [size=\"42058240\", alpha=\"0.14\", expect_size=\"16823296\"] \n  25 -> 36 [size =\"16823296\"]\n  25 -> 39 [size =\"16823296\"]\n  25 -> 44 [size =\"16823296\"]\n  25 -> 45 [size =\"16823296\"]\n  26 [size=\"86894080\", alpha=\"0.14\", expect_size=\"34757632\"] \n  27 [size=\"109941760\", alpha=\"0.19\", expect_size=\"43976704\"] \n  27 -> 36 [size =\"43976704\"]\n  27 -> 37 [size =\"43976704\"]\n  27 -> 38 [size =\"43976704\"]\n  28 [size=\"85038080\", alpha=\"0.14\", expect_size=\"34015232\"] \n  28 -> 36 [size =\"34015232\"]\n  28 -> 37 [size =\"34015232\"]\n  28 -> 38 [size =\"34015232\"]\n  28 -> 40 [size =\"34015232\"]\n  28 -> 41 [size =\"34015232\"]\n  28 -> 42 [size =\"34015232\"]\n  28 -> 45 [size =\"34015232\"]\n  29 [size=\"111170560\", alpha=\"0.08\", expect_size=\"44468224\"] \n  29 -> 37 [size =\"44468224\"]\n  29 -> 38 [size =\"44468224\"]\n  30 [size=\"80916480\", alpha=\"0.14\", expect_size=\"32366592\"] \n  30 -> 37 [size =\"32366592\"]\n  30 -> 41 [size =\"32366592\"]\n  31 [size=\"126725120\", alpha=\"0.17\", expect_size=\"50690048\"] \n  31 -> 39 [size =\"50690048\"]\n  31 -> 40 [size =\"50690048\"]\n  31 -> 41 [size =\"50690048\"]\n  32 [size=\"113172480\", alpha=\"0.10\", expect_size=\"45268992\"] \n  32 -> 36 [size =\"45268992\"]\n  32 -> 38 [size =\"45268992\"]\n  32 -> 43 [size =\"45268992\"]\n  33 [size=\"82746880\", alpha=\"0.09\", expect_size=\"33098752\"] \n  33 -> 40 [size =\"33098752\"]\n  34 [size=\"113123840\", alpha=\"0.05\", expect_size=\"45249536\"] \n  34 -> 36 [size =\"45249536\"]\n  34 -> 39 [size =\"45249536\"]\n  34 -> 42 [size =\"45249536\"]\n  34 -> 44 [size =\"45249536\"]\n  35 [size=\"61729280\", alpha=\"0.12\", expect_size=\"24691712\"] \n  35 -> 40 [size =\"24691712\"]\n  35 -> 41 [size =\"24691712\"]\n  35 -> 42 [size =\"24691712\"]\n  35 -> 45 [size =\"24691712\"]\n  36 [size=\"28782080\", alpha=\"0.15\", expect_size=\"11512832\"] \n  37 [size=\"109125120\", alpha=\"0.07\", expect_size=\"43650048\"] \n  38 [size=\"103956480\", alpha=\"0.08\", expect_size=\"41582592\"] \n  39 [size=\"69911040\", alpha=\"0.11\", expect_size=\"27964416\"] \n  40 [size=\"117278720\", alpha=\"0.08\", expect_size=\"46911488\"] \n  41 [size=\"82012160\", alpha=\"0.18\", expect_size=\"32804864\"] \n  42 [size=\"66803200\", alpha=\"0.06\", expect_size=\"26721280\"] \n  43 [size=\"125232640\", alpha=\"0.09\", expect_size=\"50093056\"] \n  44 [size=\"62151680\", alpha=\"0.20\", expect_size=\"24860672\"] \n  45 [size=\"90076160\", alpha=\"0.15\", expect_size=\"36030464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98370560\", alpha=\"0.06\", expect_size=\"39348224\"] \n  1 -> 2 [size =\"39348224\"]\n  2 [size=\"70218240\", alpha=\"0.06\", expect_size=\"28087296\"] \n  2 -> 3 [size =\"28087296\"]\n  3 [size=\"128622080\", alpha=\"0.04\", expect_size=\"51448832\"] \n  3 -> 4 [size =\"51448832\"]\n  4 [size=\"60584960\", alpha=\"0.01\", expect_size=\"24233984\"] \n  4 -> 5 [size =\"24233984\"]\n  5 [size=\"20554240\", alpha=\"0.11\", expect_size=\"8221696\"] \n  5 -> 6 [size =\"8221696\"]\n  6 [size=\"21130240\", alpha=\"0.09\", expect_size=\"8452096\"] \n  6 -> 7 [size =\"8452096\"]\n  7 [size=\"38246400\", alpha=\"0.16\", expect_size=\"15298560\"] \n  7 -> 8 [size =\"15298560\"]\n  8 [size=\"21708800\", alpha=\"0.07\", expect_size=\"8683520\"] \n  8 -> 9 [size =\"8683520\"]\n  9 [size=\"110812160\", alpha=\"0.11\", expect_size=\"44324864\"] \n  9 -> 10 [size =\"44324864\"]\n  10 [size=\"124062720\", alpha=\"0.06\", expect_size=\"49625088\"] \n  10 -> 11 [size =\"49625088\"]\n  11 [size=\"62763520\", alpha=\"0.09\", expect_size=\"25105408\"] \n  11 -> 12 [size =\"25105408\"]\n  12 [size=\"97664000\", alpha=\"0.06\", expect_size=\"39065600\"] \n  12 -> 13 [size =\"39065600\"]\n  13 [size=\"14010880\", alpha=\"0.03\", expect_size=\"5604352\"] \n  13 -> 14 [size =\"5604352\"]\n  14 [size=\"36139520\", alpha=\"0.07\", expect_size=\"14455808\"] \n  14 -> 15 [size =\"14455808\"]\n  15 [size=\"42685440\", alpha=\"0.17\", expect_size=\"17074176\"] \n  15 -> 16 [size =\"17074176\"]\n  16 [size=\"109621760\", alpha=\"0.17\", expect_size=\"43848704\"] \n  16 -> 17 [size =\"43848704\"]\n  17 [size=\"44280320\", alpha=\"0.18\", expect_size=\"17712128\"] \n  17 -> 18 [size =\"17712128\"]\n  18 [size=\"19092480\", alpha=\"0.18\", expect_size=\"7636992\"] \n  18 -> 19 [size =\"7636992\"]\n  19 [size=\"62504960\", alpha=\"0.10\", expect_size=\"25001984\"] \n  19 -> 20 [size =\"25001984\"]\n  20 [size=\"128862720\", alpha=\"0.15\", expect_size=\"51545088\"] \n  20 -> 21 [size =\"51545088\"]\n  21 [size=\"46743040\", alpha=\"0.13\", expect_size=\"18697216\"] \n  21 -> 22 [size =\"18697216\"]\n  22 [size=\"101644800\", alpha=\"0.02\", expect_size=\"40657920\"] \n  22 -> 23 [size =\"40657920\"]\n  23 [size=\"17602560\", alpha=\"0.09\", expect_size=\"7041024\"] \n  23 -> 24 [size =\"7041024\"]\n  24 [size=\"33574400\", alpha=\"0.05\", expect_size=\"13429760\"] \n  24 -> 25 [size =\"13429760\"]\n  25 [size=\"75333120\", alpha=\"0.03\", expect_size=\"30133248\"] \n  25 -> 26 [size =\"30133248\"]\n  26 [size=\"58810880\", alpha=\"0.01\", expect_size=\"23524352\"] \n  26 -> 27 [size =\"23524352\"]\n  27 [size=\"43202560\", alpha=\"0.04\", expect_size=\"17281024\"] \n  27 -> 28 [size =\"17281024\"]\n  28 [size=\"29493760\", alpha=\"0.08\", expect_size=\"11797504\"] \n  28 -> 29 [size =\"11797504\"]\n  29 [size=\"19328000\", alpha=\"0.09\", expect_size=\"7731200\"] \n  29 -> 30 [size =\"7731200\"]\n  30 [size=\"81018880\", alpha=\"0.09\", expect_size=\"32407552\"] \n  30 -> 31 [size =\"32407552\"]\n  31 [size=\"49249280\", alpha=\"0.17\", expect_size=\"19699712\"] \n  31 -> 32 [size =\"19699712\"]\n  32 [size=\"127252480\", alpha=\"0.19\", expect_size=\"50900992\"] \n  32 -> 33 [size =\"50900992\"]\n  33 [size=\"18245120\", alpha=\"0.02\", expect_size=\"7298048\"] \n  33 -> 34 [size =\"7298048\"]\n  34 [size=\"73671680\", alpha=\"0.08\", expect_size=\"29468672\"] \n  34 -> 35 [size =\"29468672\"]\n  35 [size=\"105082880\", alpha=\"0.20\", expect_size=\"42033152\"] \n  35 -> 36 [size =\"42033152\"]\n  36 [size=\"119925760\", alpha=\"0.07\", expect_size=\"47970304\"] \n  36 -> 37 [size =\"47970304\"]\n  37 [size=\"126223360\", alpha=\"0.01\", expect_size=\"50489344\"] \n  37 -> 38 [size =\"50489344\"]\n  38 [size=\"31150080\", alpha=\"0.15\", expect_size=\"12460032\"] \n  38 -> 39 [size =\"12460032\"]\n  39 [size=\"79242240\", alpha=\"0.17\", expect_size=\"31696896\"] \n  39 -> 40 [size =\"31696896\"]\n  40 [size=\"14310400\", alpha=\"0.19\", expect_size=\"5724160\"] \n  40 -> 41 [size =\"5724160\"]\n  41 [size=\"65274880\", alpha=\"0.07\", expect_size=\"26109952\"] \n  41 -> 42 [size =\"26109952\"]\n  42 [size=\"45867520\", alpha=\"0.10\", expect_size=\"18347008\"] \n  42 -> 43 [size =\"18347008\"]\n  43 [size=\"40642560\", alpha=\"0.14\", expect_size=\"16257024\"] \n  43 -> 44 [size =\"16257024\"]\n  44 [size=\"50506240\", alpha=\"0.01\", expect_size=\"20202496\"] \n  44 -> 45 [size =\"20202496\"]\n  45 [size=\"98496000\", alpha=\"0.18\", expect_size=\"39398400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31135744\", alpha=\"0.14\", expect_size=\"15567872\"] \n  1 -> 11 [size =\"15567872\"]\n  1 -> 14 [size =\"15567872\"]\n  1 -> 16 [size =\"15567872\"]\n  2 [size=\"74747904\", alpha=\"0.18\", expect_size=\"37373952\"] \n  2 -> 10 [size =\"37373952\"]\n  3 [size=\"25272320\", alpha=\"0.04\", expect_size=\"12636160\"] \n  3 -> 9 [size =\"12636160\"]\n  3 -> 10 [size =\"12636160\"]\n  3 -> 13 [size =\"12636160\"]\n  4 [size=\"17070080\", alpha=\"0.13\", expect_size=\"8535040\"] \n  4 -> 9 [size =\"8535040\"]\n  4 -> 10 [size =\"8535040\"]\n  4 -> 13 [size =\"8535040\"]\n  4 -> 16 [size =\"8535040\"]\n  5 [size=\"101869568\", alpha=\"0.05\", expect_size=\"50934784\"] \n  5 -> 10 [size =\"50934784\"]\n  5 -> 13 [size =\"50934784\"]\n  5 -> 16 [size =\"50934784\"]\n  6 [size=\"90281984\", alpha=\"0.19\", expect_size=\"45140992\"] \n  7 [size=\"91998208\", alpha=\"0.03\", expect_size=\"45999104\"] \n  7 -> 12 [size =\"45999104\"]\n  7 -> 14 [size =\"45999104\"]\n  7 -> 15 [size =\"45999104\"]\n  7 -> 16 [size =\"45999104\"]\n  8 [size=\"25915392\", alpha=\"0.01\", expect_size=\"12957696\"] \n  9 [size=\"21356544\", alpha=\"0.09\", expect_size=\"10678272\"] \n  9 -> 17 [size =\"10678272\"]\n  9 -> 19 [size =\"10678272\"]\n  10 [size=\"89626624\", alpha=\"0.05\", expect_size=\"44813312\"] \n  10 -> 17 [size =\"44813312\"]\n  10 -> 18 [size =\"44813312\"]\n  10 -> 20 [size =\"44813312\"]\n  10 -> 21 [size =\"44813312\"]\n  11 [size=\"38139904\", alpha=\"0.06\", expect_size=\"19069952\"] \n  11 -> 17 [size =\"19069952\"]\n  11 -> 18 [size =\"19069952\"]\n  11 -> 20 [size =\"19069952\"]\n  11 -> 21 [size =\"19069952\"]\n  12 [size=\"102557696\", alpha=\"0.12\", expect_size=\"51278848\"] \n  13 [size=\"93247488\", alpha=\"0.06\", expect_size=\"46623744\"] \n  14 [size=\"19707904\", alpha=\"0.18\", expect_size=\"9853952\"] \n  14 -> 18 [size =\"9853952\"]\n  15 [size=\"79876096\", alpha=\"0.13\", expect_size=\"39938048\"] \n  15 -> 17 [size =\"39938048\"]\n  16 [size=\"101822464\", alpha=\"0.13\", expect_size=\"50911232\"] \n  16 -> 18 [size =\"50911232\"]\n  16 -> 19 [size =\"50911232\"]\n  16 -> 20 [size =\"50911232\"]\n  17 [size=\"97447936\", alpha=\"0.14\", expect_size=\"48723968\"] \n  17 -> 22 [size =\"48723968\"]\n  17 -> 23 [size =\"48723968\"]\n  17 -> 25 [size =\"48723968\"]\n  18 [size=\"16134144\", alpha=\"0.12\", expect_size=\"8067072\"] \n  18 -> 22 [size =\"8067072\"]\n  19 [size=\"19290112\", alpha=\"0.18\", expect_size=\"9645056\"] \n  19 -> 24 [size =\"9645056\"]\n  19 -> 25 [size =\"9645056\"]\n  19 -> 26 [size =\"9645056\"]\n  20 [size=\"60782592\", alpha=\"0.09\", expect_size=\"30391296\"] \n  20 -> 24 [size =\"30391296\"]\n  21 [size=\"84473856\", alpha=\"0.04\", expect_size=\"42236928\"] \n  21 -> 22 [size =\"42236928\"]\n  21 -> 25 [size =\"42236928\"]\n  22 [size=\"20168704\", alpha=\"0.12\", expect_size=\"10084352\"] \n  22 -> 28 [size =\"10084352\"]\n  22 -> 30 [size =\"10084352\"]\n  22 -> 33 [size =\"10084352\"]\n  23 [size=\"75386880\", alpha=\"0.04\", expect_size=\"37693440\"] \n  23 -> 27 [size =\"37693440\"]\n  23 -> 28 [size =\"37693440\"]\n  23 -> 29 [size =\"37693440\"]\n  24 [size=\"10987520\", alpha=\"0.17\", expect_size=\"5493760\"] \n  24 -> 27 [size =\"5493760\"]\n  24 -> 30 [size =\"5493760\"]\n  25 [size=\"94902272\", alpha=\"0.10\", expect_size=\"47451136\"] \n  25 -> 31 [size =\"47451136\"]\n  26 [size=\"64182272\", alpha=\"0.19\", expect_size=\"32091136\"] \n  26 -> 29 [size =\"32091136\"]\n  26 -> 32 [size =\"32091136\"]\n  26 -> 33 [size =\"32091136\"]\n  27 [size=\"30902272\", alpha=\"0.06\", expect_size=\"15451136\"] \n  27 -> 34 [size =\"15451136\"]\n  27 -> 35 [size =\"15451136\"]\n  27 -> 37 [size =\"15451136\"]\n  28 [size=\"98023424\", alpha=\"0.16\", expect_size=\"49011712\"] \n  28 -> 34 [size =\"49011712\"]\n  28 -> 35 [size =\"49011712\"]\n  28 -> 37 [size =\"49011712\"]\n  29 [size=\"58230784\", alpha=\"0.08\", expect_size=\"29115392\"] \n  29 -> 36 [size =\"29115392\"]\n  30 [size=\"48977920\", alpha=\"0.17\", expect_size=\"24488960\"] \n  30 -> 35 [size =\"24488960\"]\n  30 -> 36 [size =\"24488960\"]\n  30 -> 37 [size =\"24488960\"]\n  31 [size=\"89780224\", alpha=\"0.12\", expect_size=\"44890112\"] \n  32 [size=\"12550144\", alpha=\"0.06\", expect_size=\"6275072\"] \n  33 [size=\"70291456\", alpha=\"0.18\", expect_size=\"35145728\"] \n  34 [size=\"89051136\", alpha=\"0.12\", expect_size=\"44525568\"] \n  34 -> 39 [size =\"44525568\"]\n  34 -> 40 [size =\"44525568\"]\n  34 -> 41 [size =\"44525568\"]\n  34 -> 42 [size =\"44525568\"]\n  34 -> 44 [size =\"44525568\"]\n  35 [size=\"75413504\", alpha=\"0.01\", expect_size=\"37706752\"] \n  35 -> 39 [size =\"37706752\"]\n  35 -> 41 [size =\"37706752\"]\n  35 -> 43 [size =\"37706752\"]\n  36 [size=\"26392576\", alpha=\"0.09\", expect_size=\"13196288\"] \n  36 -> 38 [size =\"13196288\"]\n  36 -> 42 [size =\"13196288\"]\n  36 -> 43 [size =\"13196288\"]\n  36 -> 44 [size =\"13196288\"]\n  37 [size=\"21782528\", alpha=\"0.15\", expect_size=\"10891264\"] \n  37 -> 38 [size =\"10891264\"]\n  38 [size=\"48728064\", alpha=\"0.03\", expect_size=\"24364032\"] \n  39 [size=\"28286976\", alpha=\"0.12\", expect_size=\"14143488\"] \n  40 [size=\"65703936\", alpha=\"0.12\", expect_size=\"32851968\"] \n  41 [size=\"51376128\", alpha=\"0.08\", expect_size=\"25688064\"] \n  41 -> 45 [size =\"25688064\"]\n  42 [size=\"12957696\", alpha=\"0.06\", expect_size=\"6478848\"] \n  42 -> 45 [size =\"6478848\"]\n  43 [size=\"42522624\", alpha=\"0.17\", expect_size=\"21261312\"] \n  44 [size=\"34088960\", alpha=\"0.09\", expect_size=\"17044480\"] \n  45 [size=\"91252736\", alpha=\"0.19\", expect_size=\"45626368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82536960\", alpha=\"0.11\", expect_size=\"33014784\"] \n  1 -> 10 [size =\"33014784\"]\n  1 -> 11 [size =\"33014784\"]\n  1 -> 12 [size =\"33014784\"]\n  1 -> 14 [size =\"33014784\"]\n  2 [size=\"17950720\", alpha=\"0.15\", expect_size=\"7180288\"] \n  2 -> 10 [size =\"7180288\"]\n  2 -> 11 [size =\"7180288\"]\n  2 -> 15 [size =\"7180288\"]\n  2 -> 17 [size =\"7180288\"]\n  3 [size=\"95385600\", alpha=\"0.01\", expect_size=\"38154240\"] \n  3 -> 10 [size =\"38154240\"]\n  3 -> 13 [size =\"38154240\"]\n  3 -> 16 [size =\"38154240\"]\n  3 -> 17 [size =\"38154240\"]\n  3 -> 18 [size =\"38154240\"]\n  4 [size=\"72102400\", alpha=\"0.13\", expect_size=\"28840960\"] \n  4 -> 9 [size =\"28840960\"]\n  4 -> 12 [size =\"28840960\"]\n  4 -> 13 [size =\"28840960\"]\n  4 -> 15 [size =\"28840960\"]\n  4 -> 16 [size =\"28840960\"]\n  4 -> 18 [size =\"28840960\"]\n  5 [size=\"81323520\", alpha=\"0.19\", expect_size=\"32529408\"] \n  5 -> 9 [size =\"32529408\"]\n  5 -> 11 [size =\"32529408\"]\n  5 -> 15 [size =\"32529408\"]\n  5 -> 18 [size =\"32529408\"]\n  6 [size=\"125690880\", alpha=\"0.08\", expect_size=\"50276352\"] \n  6 -> 12 [size =\"50276352\"]\n  6 -> 15 [size =\"50276352\"]\n  6 -> 16 [size =\"50276352\"]\n  6 -> 18 [size =\"50276352\"]\n  7 [size=\"28431360\", alpha=\"0.18\", expect_size=\"11372544\"] \n  7 -> 9 [size =\"11372544\"]\n  7 -> 10 [size =\"11372544\"]\n  7 -> 12 [size =\"11372544\"]\n  7 -> 13 [size =\"11372544\"]\n  7 -> 16 [size =\"11372544\"]\n  8 [size=\"60551680\", alpha=\"0.09\", expect_size=\"24220672\"] \n  8 -> 10 [size =\"24220672\"]\n  8 -> 11 [size =\"24220672\"]\n  8 -> 12 [size =\"24220672\"]\n  8 -> 16 [size =\"24220672\"]\n  9 [size=\"49804800\", alpha=\"0.02\", expect_size=\"19921920\"] \n  9 -> 21 [size =\"19921920\"]\n  9 -> 22 [size =\"19921920\"]\n  9 -> 23 [size =\"19921920\"]\n  9 -> 24 [size =\"19921920\"]\n  9 -> 26 [size =\"19921920\"]\n  9 -> 27 [size =\"19921920\"]\n  9 -> 30 [size =\"19921920\"]\n  9 -> 32 [size =\"19921920\"]\n  10 [size=\"62661120\", alpha=\"0.13\", expect_size=\"25064448\"] \n  10 -> 20 [size =\"25064448\"]\n  10 -> 21 [size =\"25064448\"]\n  10 -> 23 [size =\"25064448\"]\n  10 -> 27 [size =\"25064448\"]\n  10 -> 32 [size =\"25064448\"]\n  11 [size=\"126699520\", alpha=\"0.06\", expect_size=\"50679808\"] \n  11 -> 19 [size =\"50679808\"]\n  11 -> 20 [size =\"50679808\"]\n  11 -> 25 [size =\"50679808\"]\n  11 -> 31 [size =\"50679808\"]\n  11 -> 32 [size =\"50679808\"]\n  12 [size=\"71137280\", alpha=\"0.12\", expect_size=\"28454912\"] \n  12 -> 20 [size =\"28454912\"]\n  12 -> 26 [size =\"28454912\"]\n  12 -> 32 [size =\"28454912\"]\n  13 [size=\"39457280\", alpha=\"0.12\", expect_size=\"15782912\"] \n  13 -> 21 [size =\"15782912\"]\n  13 -> 22 [size =\"15782912\"]\n  13 -> 25 [size =\"15782912\"]\n  13 -> 26 [size =\"15782912\"]\n  13 -> 30 [size =\"15782912\"]\n  14 [size=\"46817280\", alpha=\"0.05\", expect_size=\"18726912\"] \n  14 -> 20 [size =\"18726912\"]\n  14 -> 22 [size =\"18726912\"]\n  14 -> 27 [size =\"18726912\"]\n  15 [size=\"122734080\", alpha=\"0.06\", expect_size=\"49093632\"] \n  15 -> 20 [size =\"49093632\"]\n  15 -> 21 [size =\"49093632\"]\n  15 -> 23 [size =\"49093632\"]\n  15 -> 28 [size =\"49093632\"]\n  16 [size=\"116600320\", alpha=\"0.18\", expect_size=\"46640128\"] \n  16 -> 23 [size =\"46640128\"]\n  16 -> 32 [size =\"46640128\"]\n  17 [size=\"43655680\", alpha=\"0.10\", expect_size=\"17462272\"] \n  17 -> 21 [size =\"17462272\"]\n  17 -> 22 [size =\"17462272\"]\n  17 -> 23 [size =\"17462272\"]\n  17 -> 25 [size =\"17462272\"]\n  17 -> 26 [size =\"17462272\"]\n  17 -> 29 [size =\"17462272\"]\n  17 -> 31 [size =\"17462272\"]\n  18 [size=\"33909760\", alpha=\"0.15\", expect_size=\"13563904\"] \n  18 -> 21 [size =\"13563904\"]\n  18 -> 22 [size =\"13563904\"]\n  18 -> 24 [size =\"13563904\"]\n  18 -> 25 [size =\"13563904\"]\n  18 -> 27 [size =\"13563904\"]\n  18 -> 32 [size =\"13563904\"]\n  19 [size=\"85478400\", alpha=\"0.01\", expect_size=\"34191360\"] \n  19 -> 36 [size =\"34191360\"]\n  19 -> 39 [size =\"34191360\"]\n  19 -> 44 [size =\"34191360\"]\n  20 [size=\"94653440\", alpha=\"0.12\", expect_size=\"37861376\"] \n  20 -> 36 [size =\"37861376\"]\n  20 -> 38 [size =\"37861376\"]\n  20 -> 39 [size =\"37861376\"]\n  20 -> 40 [size =\"37861376\"]\n  21 [size=\"51617280\", alpha=\"0.15\", expect_size=\"20646912\"] \n  21 -> 34 [size =\"20646912\"]\n  21 -> 35 [size =\"20646912\"]\n  21 -> 36 [size =\"20646912\"]\n  21 -> 39 [size =\"20646912\"]\n  21 -> 40 [size =\"20646912\"]\n  21 -> 44 [size =\"20646912\"]\n  22 [size=\"84477440\", alpha=\"0.18\", expect_size=\"33790976\"] \n  22 -> 33 [size =\"33790976\"]\n  22 -> 34 [size =\"33790976\"]\n  22 -> 35 [size =\"33790976\"]\n  22 -> 40 [size =\"33790976\"]\n  23 [size=\"37578240\", alpha=\"0.16\", expect_size=\"15031296\"] \n  23 -> 34 [size =\"15031296\"]\n  23 -> 36 [size =\"15031296\"]\n  23 -> 39 [size =\"15031296\"]\n  23 -> 42 [size =\"15031296\"]\n  23 -> 44 [size =\"15031296\"]\n  23 -> 45 [size =\"15031296\"]\n  24 [size=\"108390400\", alpha=\"0.03\", expect_size=\"43356160\"] \n  24 -> 34 [size =\"43356160\"]\n  24 -> 35 [size =\"43356160\"]\n  24 -> 36 [size =\"43356160\"]\n  24 -> 37 [size =\"43356160\"]\n  24 -> 39 [size =\"43356160\"]\n  24 -> 44 [size =\"43356160\"]\n  25 [size=\"17812480\", alpha=\"0.02\", expect_size=\"7124992\"] \n  25 -> 36 [size =\"7124992\"]\n  25 -> 37 [size =\"7124992\"]\n  25 -> 38 [size =\"7124992\"]\n  25 -> 45 [size =\"7124992\"]\n  26 [size=\"55710720\", alpha=\"0.01\", expect_size=\"22284288\"] \n  26 -> 36 [size =\"22284288\"]\n  26 -> 38 [size =\"22284288\"]\n  26 -> 43 [size =\"22284288\"]\n  26 -> 45 [size =\"22284288\"]\n  27 [size=\"46702080\", alpha=\"0.01\", expect_size=\"18680832\"] \n  27 -> 36 [size =\"18680832\"]\n  27 -> 37 [size =\"18680832\"]\n  27 -> 39 [size =\"18680832\"]\n  27 -> 40 [size =\"18680832\"]\n  27 -> 43 [size =\"18680832\"]\n  27 -> 45 [size =\"18680832\"]\n  28 [size=\"105587200\", alpha=\"0.10\", expect_size=\"42234880\"] \n  28 -> 38 [size =\"42234880\"]\n  28 -> 40 [size =\"42234880\"]\n  28 -> 41 [size =\"42234880\"]\n  28 -> 42 [size =\"42234880\"]\n  28 -> 43 [size =\"42234880\"]\n  28 -> 44 [size =\"42234880\"]\n  29 [size=\"78254080\", alpha=\"0.05\", expect_size=\"31301632\"] \n  29 -> 38 [size =\"31301632\"]\n  29 -> 41 [size =\"31301632\"]\n  29 -> 42 [size =\"31301632\"]\n  29 -> 44 [size =\"31301632\"]\n  30 [size=\"83351040\", alpha=\"0.09\", expect_size=\"33340416\"] \n  30 -> 38 [size =\"33340416\"]\n  30 -> 40 [size =\"33340416\"]\n  31 [size=\"35389440\", alpha=\"0.12\", expect_size=\"14155776\"] \n  31 -> 38 [size =\"14155776\"]\n  31 -> 40 [size =\"14155776\"]\n  31 -> 41 [size =\"14155776\"]\n  31 -> 43 [size =\"14155776\"]\n  31 -> 44 [size =\"14155776\"]\n  32 [size=\"121766400\", alpha=\"0.04\", expect_size=\"48706560\"] \n  32 -> 37 [size =\"48706560\"]\n  32 -> 41 [size =\"48706560\"]\n  32 -> 43 [size =\"48706560\"]\n  32 -> 43 [size =\"48706560\"]\n  32 -> 44 [size =\"48706560\"]\n  33 [size=\"111400960\", alpha=\"0.01\", expect_size=\"44560384\"] \n  34 [size=\"86566400\", alpha=\"0.04\", expect_size=\"34626560\"] \n  35 [size=\"106265600\", alpha=\"0.05\", expect_size=\"42506240\"] \n  36 [size=\"120747520\", alpha=\"0.04\", expect_size=\"48299008\"] \n  37 [size=\"124631040\", alpha=\"0.08\", expect_size=\"49852416\"] \n  38 [size=\"15278080\", alpha=\"0.16\", expect_size=\"6111232\"] \n  39 [size=\"76062720\", alpha=\"0.16\", expect_size=\"30425088\"] \n  40 [size=\"107755520\", alpha=\"0.09\", expect_size=\"43102208\"] \n  41 [size=\"41943040\", alpha=\"0.10\", expect_size=\"16777216\"] \n  42 [size=\"110184960\", alpha=\"0.02\", expect_size=\"44073984\"] \n  43 [size=\"16619520\", alpha=\"0.18\", expect_size=\"6647808\"] \n  44 [size=\"23523840\", alpha=\"0.11\", expect_size=\"9409536\"] \n  45 [size=\"46648320\", alpha=\"0.04\", expect_size=\"18659328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73035776\", alpha=\"0.09\", expect_size=\"36517888\"] \n  1 -> 38 [size =\"36517888\"]\n  1 -> 39 [size =\"36517888\"]\n  1 -> 40 [size =\"36517888\"]\n  1 -> 42 [size =\"36517888\"]\n  1 -> 45 [size =\"36517888\"]\n  2 [size=\"18505728\", alpha=\"0.13\", expect_size=\"9252864\"] \n  2 -> 42 [size =\"9252864\"]\n  2 -> 45 [size =\"9252864\"]\n  3 [size=\"98680832\", alpha=\"0.04\", expect_size=\"49340416\"] \n  3 -> 36 [size =\"49340416\"]\n  3 -> 40 [size =\"49340416\"]\n  3 -> 44 [size =\"49340416\"]\n  4 [size=\"40777728\", alpha=\"0.12\", expect_size=\"20388864\"] \n  4 -> 39 [size =\"20388864\"]\n  4 -> 44 [size =\"20388864\"]\n  5 [size=\"68427776\", alpha=\"0.09\", expect_size=\"34213888\"] \n  5 -> 39 [size =\"34213888\"]\n  5 -> 40 [size =\"34213888\"]\n  5 -> 41 [size =\"34213888\"]\n  6 [size=\"68601856\", alpha=\"0.15\", expect_size=\"34300928\"] \n  6 -> 36 [size =\"34300928\"]\n  6 -> 38 [size =\"34300928\"]\n  6 -> 39 [size =\"34300928\"]\n  6 -> 40 [size =\"34300928\"]\n  6 -> 42 [size =\"34300928\"]\n  6 -> 44 [size =\"34300928\"]\n  7 [size=\"80746496\", alpha=\"0.01\", expect_size=\"40373248\"] \n  7 -> 39 [size =\"40373248\"]\n  7 -> 42 [size =\"40373248\"]\n  8 [size=\"87310336\", alpha=\"0.07\", expect_size=\"43655168\"] \n  8 -> 39 [size =\"43655168\"]\n  8 -> 40 [size =\"43655168\"]\n  9 [size=\"75001856\", alpha=\"0.10\", expect_size=\"37500928\"] \n  10 [size=\"47843328\", alpha=\"0.06\", expect_size=\"23921664\"] \n  10 -> 39 [size =\"23921664\"]\n  10 -> 40 [size =\"23921664\"]\n  10 -> 42 [size =\"23921664\"]\n  10 -> 44 [size =\"23921664\"]\n  11 [size=\"57229312\", alpha=\"0.10\", expect_size=\"28614656\"] \n  11 -> 36 [size =\"28614656\"]\n  11 -> 38 [size =\"28614656\"]\n  11 -> 39 [size =\"28614656\"]\n  11 -> 40 [size =\"28614656\"]\n  11 -> 42 [size =\"28614656\"]\n  12 [size=\"100091904\", alpha=\"0.05\", expect_size=\"50045952\"] \n  12 -> 38 [size =\"50045952\"]\n  12 -> 39 [size =\"50045952\"]\n  12 -> 40 [size =\"50045952\"]\n  13 [size=\"65005568\", alpha=\"0.13\", expect_size=\"32502784\"] \n  13 -> 40 [size =\"32502784\"]\n  13 -> 42 [size =\"32502784\"]\n  14 [size=\"85110784\", alpha=\"0.00\", expect_size=\"42555392\"] \n  14 -> 39 [size =\"42555392\"]\n  14 -> 41 [size =\"42555392\"]\n  15 [size=\"47339520\", alpha=\"0.02\", expect_size=\"23669760\"] \n  15 -> 44 [size =\"23669760\"]\n  15 -> 45 [size =\"23669760\"]\n  16 [size=\"88582144\", alpha=\"0.08\", expect_size=\"44291072\"] \n  16 -> 41 [size =\"44291072\"]\n  16 -> 42 [size =\"44291072\"]\n  16 -> 43 [size =\"44291072\"]\n  16 -> 45 [size =\"44291072\"]\n  17 [size=\"67166208\", alpha=\"0.18\", expect_size=\"33583104\"] \n  17 -> 37 [size =\"33583104\"]\n  17 -> 38 [size =\"33583104\"]\n  17 -> 39 [size =\"33583104\"]\n  17 -> 42 [size =\"33583104\"]\n  18 [size=\"69996544\", alpha=\"0.16\", expect_size=\"34998272\"] \n  18 -> 39 [size =\"34998272\"]\n  18 -> 41 [size =\"34998272\"]\n  19 [size=\"103473152\", alpha=\"0.12\", expect_size=\"51736576\"] \n  19 -> 41 [size =\"51736576\"]\n  19 -> 45 [size =\"51736576\"]\n  20 [size=\"55302144\", alpha=\"0.18\", expect_size=\"27651072\"] \n  20 -> 42 [size =\"27651072\"]\n  21 [size=\"85010432\", alpha=\"0.18\", expect_size=\"42505216\"] \n  21 -> 38 [size =\"42505216\"]\n  22 [size=\"37584896\", alpha=\"0.19\", expect_size=\"18792448\"] \n  22 -> 39 [size =\"18792448\"]\n  22 -> 40 [size =\"18792448\"]\n  23 [size=\"61009920\", alpha=\"0.19\", expect_size=\"30504960\"] \n  23 -> 39 [size =\"30504960\"]\n  23 -> 40 [size =\"30504960\"]\n  23 -> 44 [size =\"30504960\"]\n  24 [size=\"27877376\", alpha=\"0.05\", expect_size=\"13938688\"] \n  24 -> 36 [size =\"13938688\"]\n  24 -> 44 [size =\"13938688\"]\n  24 -> 45 [size =\"13938688\"]\n  25 [size=\"29198336\", alpha=\"0.04\", expect_size=\"14599168\"] \n  25 -> 40 [size =\"14599168\"]\n  25 -> 42 [size =\"14599168\"]\n  26 [size=\"36483072\", alpha=\"0.15\", expect_size=\"18241536\"] \n  26 -> 39 [size =\"18241536\"]\n  26 -> 40 [size =\"18241536\"]\n  26 -> 41 [size =\"18241536\"]\n  26 -> 42 [size =\"18241536\"]\n  26 -> 43 [size =\"18241536\"]\n  27 [size=\"75397120\", alpha=\"0.01\", expect_size=\"37698560\"] \n  27 -> 38 [size =\"37698560\"]\n  27 -> 39 [size =\"37698560\"]\n  27 -> 40 [size =\"37698560\"]\n  27 -> 41 [size =\"37698560\"]\n  27 -> 42 [size =\"37698560\"]\n  28 [size=\"66295808\", alpha=\"0.03\", expect_size=\"33147904\"] \n  28 -> 36 [size =\"33147904\"]\n  28 -> 41 [size =\"33147904\"]\n  28 -> 42 [size =\"33147904\"]\n  28 -> 45 [size =\"33147904\"]\n  29 [size=\"45688832\", alpha=\"0.18\", expect_size=\"22844416\"] \n  29 -> 39 [size =\"22844416\"]\n  29 -> 40 [size =\"22844416\"]\n  29 -> 41 [size =\"22844416\"]\n  30 [size=\"103413760\", alpha=\"0.02\", expect_size=\"51706880\"] \n  30 -> 40 [size =\"51706880\"]\n  30 -> 41 [size =\"51706880\"]\n  30 -> 41 [size =\"51706880\"]\n  31 [size=\"96206848\", alpha=\"0.16\", expect_size=\"48103424\"] \n  31 -> 41 [size =\"48103424\"]\n  31 -> 42 [size =\"48103424\"]\n  32 [size=\"86622208\", alpha=\"0.08\", expect_size=\"43311104\"] \n  32 -> 41 [size =\"43311104\"]\n  32 -> 42 [size =\"43311104\"]\n  33 [size=\"82677760\", alpha=\"0.12\", expect_size=\"41338880\"] \n  33 -> 36 [size =\"41338880\"]\n  33 -> 39 [size =\"41338880\"]\n  33 -> 41 [size =\"41338880\"]\n  33 -> 42 [size =\"41338880\"]\n  33 -> 44 [size =\"41338880\"]\n  34 [size=\"78200832\", alpha=\"0.12\", expect_size=\"39100416\"] \n  34 -> 42 [size =\"39100416\"]\n  35 [size=\"103479296\", alpha=\"0.00\", expect_size=\"51739648\"] \n  35 -> 39 [size =\"51739648\"]\n  35 -> 40 [size =\"51739648\"]\n  35 -> 42 [size =\"51739648\"]\n  35 -> 45 [size =\"51739648\"]\n  36 [size=\"27717632\", alpha=\"0.04\", expect_size=\"13858816\"] \n  37 [size=\"97777664\", alpha=\"0.01\", expect_size=\"48888832\"] \n  38 [size=\"100800512\", alpha=\"0.10\", expect_size=\"50400256\"] \n  39 [size=\"19243008\", alpha=\"0.18\", expect_size=\"9621504\"] \n  40 [size=\"11993088\", alpha=\"0.16\", expect_size=\"5996544\"] \n  41 [size=\"22038528\", alpha=\"0.10\", expect_size=\"11019264\"] \n  42 [size=\"96122880\", alpha=\"0.10\", expect_size=\"48061440\"] \n  43 [size=\"40736768\", alpha=\"0.00\", expect_size=\"20368384\"] \n  44 [size=\"99145728\", alpha=\"0.14\", expect_size=\"49572864\"] \n  45 [size=\"62863360\", alpha=\"0.12\", expect_size=\"31431680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44633600\", alpha=\"0.16\", expect_size=\"17853440\"] \n  1 -> 37 [size =\"17853440\"]\n  1 -> 39 [size =\"17853440\"]\n  1 -> 41 [size =\"17853440\"]\n  1 -> 42 [size =\"17853440\"]\n  1 -> 43 [size =\"17853440\"]\n  2 [size=\"75112960\", alpha=\"0.14\", expect_size=\"30045184\"] \n  2 -> 33 [size =\"30045184\"]\n  2 -> 37 [size =\"30045184\"]\n  2 -> 41 [size =\"30045184\"]\n  2 -> 43 [size =\"30045184\"]\n  3 [size=\"18337280\", alpha=\"0.15\", expect_size=\"7334912\"] \n  3 -> 33 [size =\"7334912\"]\n  3 -> 37 [size =\"7334912\"]\n  3 -> 39 [size =\"7334912\"]\n  3 -> 41 [size =\"7334912\"]\n  3 -> 43 [size =\"7334912\"]\n  4 [size=\"88998400\", alpha=\"0.14\", expect_size=\"35599360\"] \n  4 -> 31 [size =\"35599360\"]\n  4 -> 33 [size =\"35599360\"]\n  4 -> 43 [size =\"35599360\"]\n  5 [size=\"24360960\", alpha=\"0.16\", expect_size=\"9744384\"] \n  5 -> 32 [size =\"9744384\"]\n  5 -> 33 [size =\"9744384\"]\n  5 -> 39 [size =\"9744384\"]\n  5 -> 40 [size =\"9744384\"]\n  5 -> 41 [size =\"9744384\"]\n  6 [size=\"88852480\", alpha=\"0.02\", expect_size=\"35540992\"] \n  6 -> 37 [size =\"35540992\"]\n  6 -> 39 [size =\"35540992\"]\n  6 -> 41 [size =\"35540992\"]\n  7 [size=\"58685440\", alpha=\"0.09\", expect_size=\"23474176\"] \n  7 -> 37 [size =\"23474176\"]\n  7 -> 41 [size =\"23474176\"]\n  7 -> 43 [size =\"23474176\"]\n  7 -> 44 [size =\"23474176\"]\n  8 [size=\"78300160\", alpha=\"0.06\", expect_size=\"31320064\"] \n  8 -> 32 [size =\"31320064\"]\n  8 -> 41 [size =\"31320064\"]\n  8 -> 43 [size =\"31320064\"]\n  9 [size=\"83706880\", alpha=\"0.03\", expect_size=\"33482752\"] \n  9 -> 32 [size =\"33482752\"]\n  9 -> 37 [size =\"33482752\"]\n  9 -> 42 [size =\"33482752\"]\n  10 [size=\"15175680\", alpha=\"0.14\", expect_size=\"6070272\"] \n  10 -> 33 [size =\"6070272\"]\n  10 -> 37 [size =\"6070272\"]\n  10 -> 42 [size =\"6070272\"]\n  10 -> 44 [size =\"6070272\"]\n  10 -> 45 [size =\"6070272\"]\n  11 [size=\"124160000\", alpha=\"0.00\", expect_size=\"49664000\"] \n  11 -> 33 [size =\"49664000\"]\n  11 -> 41 [size =\"49664000\"]\n  11 -> 42 [size =\"49664000\"]\n  11 -> 43 [size =\"49664000\"]\n  11 -> 45 [size =\"49664000\"]\n  12 [size=\"102935040\", alpha=\"0.10\", expect_size=\"41174016\"] \n  12 -> 33 [size =\"41174016\"]\n  12 -> 42 [size =\"41174016\"]\n  12 -> 45 [size =\"41174016\"]\n  13 [size=\"69383680\", alpha=\"0.11\", expect_size=\"27753472\"] \n  13 -> 39 [size =\"27753472\"]\n  13 -> 40 [size =\"27753472\"]\n  14 [size=\"37368320\", alpha=\"0.15\", expect_size=\"14947328\"] \n  14 -> 31 [size =\"14947328\"]\n  14 -> 33 [size =\"14947328\"]\n  14 -> 34 [size =\"14947328\"]\n  14 -> 36 [size =\"14947328\"]\n  14 -> 38 [size =\"14947328\"]\n  14 -> 41 [size =\"14947328\"]\n  14 -> 42 [size =\"14947328\"]\n  15 [size=\"119841280\", alpha=\"0.14\", expect_size=\"47936512\"] \n  15 -> 33 [size =\"47936512\"]\n  15 -> 37 [size =\"47936512\"]\n  15 -> 40 [size =\"47936512\"]\n  16 [size=\"95680000\", alpha=\"0.18\", expect_size=\"38272000\"] \n  16 -> 31 [size =\"38272000\"]\n  16 -> 34 [size =\"38272000\"]\n  16 -> 39 [size =\"38272000\"]\n  16 -> 41 [size =\"38272000\"]\n  16 -> 44 [size =\"38272000\"]\n  17 [size=\"106368000\", alpha=\"0.00\", expect_size=\"42547200\"] \n  17 -> 31 [size =\"42547200\"]\n  17 -> 37 [size =\"42547200\"]\n  17 -> 39 [size =\"42547200\"]\n  17 -> 41 [size =\"42547200\"]\n  17 -> 44 [size =\"42547200\"]\n  18 [size=\"38917120\", alpha=\"0.17\", expect_size=\"15566848\"] \n  18 -> 31 [size =\"15566848\"]\n  18 -> 36 [size =\"15566848\"]\n  18 -> 37 [size =\"15566848\"]\n  18 -> 39 [size =\"15566848\"]\n  18 -> 40 [size =\"15566848\"]\n  18 -> 42 [size =\"15566848\"]\n  18 -> 43 [size =\"15566848\"]\n  19 [size=\"74836480\", alpha=\"0.01\", expect_size=\"29934592\"] \n  19 -> 31 [size =\"29934592\"]\n  19 -> 32 [size =\"29934592\"]\n  19 -> 35 [size =\"29934592\"]\n  19 -> 37 [size =\"29934592\"]\n  19 -> 40 [size =\"29934592\"]\n  19 -> 41 [size =\"29934592\"]\n  20 [size=\"94187520\", alpha=\"0.02\", expect_size=\"37675008\"] \n  20 -> 32 [size =\"37675008\"]\n  20 -> 36 [size =\"37675008\"]\n  20 -> 39 [size =\"37675008\"]\n  20 -> 40 [size =\"37675008\"]\n  20 -> 41 [size =\"37675008\"]\n  20 -> 41 [size =\"37675008\"]\n  20 -> 42 [size =\"37675008\"]\n  20 -> 43 [size =\"37675008\"]\n  21 [size=\"59274240\", alpha=\"0.08\", expect_size=\"23709696\"] \n  21 -> 31 [size =\"23709696\"]\n  21 -> 39 [size =\"23709696\"]\n  21 -> 41 [size =\"23709696\"]\n  21 -> 43 [size =\"23709696\"]\n  22 [size=\"62177280\", alpha=\"0.05\", expect_size=\"24870912\"] \n  22 -> 40 [size =\"24870912\"]\n  22 -> 41 [size =\"24870912\"]\n  22 -> 43 [size =\"24870912\"]\n  23 [size=\"120542720\", alpha=\"0.02\", expect_size=\"48217088\"] \n  23 -> 37 [size =\"48217088\"]\n  23 -> 45 [size =\"48217088\"]\n  24 [size=\"68851200\", alpha=\"0.13\", expect_size=\"27540480\"] \n  24 -> 31 [size =\"27540480\"]\n  24 -> 32 [size =\"27540480\"]\n  24 -> 33 [size =\"27540480\"]\n  24 -> 36 [size =\"27540480\"]\n  24 -> 37 [size =\"27540480\"]\n  24 -> 38 [size =\"27540480\"]\n  25 [size=\"36551680\", alpha=\"0.05\", expect_size=\"14620672\"] \n  25 -> 33 [size =\"14620672\"]\n  25 -> 36 [size =\"14620672\"]\n  25 -> 39 [size =\"14620672\"]\n  25 -> 40 [size =\"14620672\"]\n  25 -> 41 [size =\"14620672\"]\n  25 -> 44 [size =\"14620672\"]\n  26 [size=\"119703040\", alpha=\"0.10\", expect_size=\"47881216\"] \n  26 -> 31 [size =\"47881216\"]\n  26 -> 33 [size =\"47881216\"]\n  26 -> 40 [size =\"47881216\"]\n  27 [size=\"110543360\", alpha=\"0.03\", expect_size=\"44217344\"] \n  27 -> 37 [size =\"44217344\"]\n  27 -> 43 [size =\"44217344\"]\n  28 [size=\"112606720\", alpha=\"0.07\", expect_size=\"45042688\"] \n  28 -> 33 [size =\"45042688\"]\n  28 -> 43 [size =\"45042688\"]\n  29 [size=\"94878720\", alpha=\"0.03\", expect_size=\"37951488\"] \n  29 -> 37 [size =\"37951488\"]\n  29 -> 39 [size =\"37951488\"]\n  30 [size=\"102566400\", alpha=\"0.19\", expect_size=\"41026560\"] \n  30 -> 37 [size =\"41026560\"]\n  30 -> 39 [size =\"41026560\"]\n  30 -> 41 [size =\"41026560\"]\n  30 -> 44 [size =\"41026560\"]\n  31 [size=\"114708480\", alpha=\"0.14\", expect_size=\"45883392\"] \n  32 [size=\"44866560\", alpha=\"0.04\", expect_size=\"17946624\"] \n  33 [size=\"73013760\", alpha=\"0.04\", expect_size=\"29205504\"] \n  34 [size=\"86415360\", alpha=\"0.08\", expect_size=\"34566144\"] \n  35 [size=\"43000320\", alpha=\"0.10\", expect_size=\"17200128\"] \n  36 [size=\"71984640\", alpha=\"0.06\", expect_size=\"28793856\"] \n  37 [size=\"13186560\", alpha=\"0.18\", expect_size=\"5274624\"] \n  38 [size=\"30154240\", alpha=\"0.14\", expect_size=\"12061696\"] \n  39 [size=\"70113280\", alpha=\"0.01\", expect_size=\"28045312\"] \n  40 [size=\"85701120\", alpha=\"0.01\", expect_size=\"34280448\"] \n  41 [size=\"78986240\", alpha=\"0.09\", expect_size=\"31594496\"] \n  42 [size=\"43061760\", alpha=\"0.06\", expect_size=\"17224704\"] \n  43 [size=\"67755520\", alpha=\"0.01\", expect_size=\"27102208\"] \n  44 [size=\"91376640\", alpha=\"0.05\", expect_size=\"36550656\"] \n  45 [size=\"20226560\", alpha=\"0.13\", expect_size=\"8090624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76482560\", alpha=\"0.04\", expect_size=\"22944768\"] \n  1 -> 26 [size =\"22944768\"]\n  1 -> 29 [size =\"22944768\"]\n  1 -> 31 [size =\"22944768\"]\n  1 -> 32 [size =\"22944768\"]\n  1 -> 34 [size =\"22944768\"]\n  1 -> 35 [size =\"22944768\"]\n  1 -> 36 [size =\"22944768\"]\n  1 -> 38 [size =\"22944768\"]\n  1 -> 41 [size =\"22944768\"]\n  1 -> 42 [size =\"22944768\"]\n  1 -> 43 [size =\"22944768\"]\n  1 -> 45 [size =\"22944768\"]\n  2 [size=\"91453440\", alpha=\"0.16\", expect_size=\"27436032\"] \n  2 -> 26 [size =\"27436032\"]\n  2 -> 29 [size =\"27436032\"]\n  2 -> 33 [size =\"27436032\"]\n  2 -> 34 [size =\"27436032\"]\n  2 -> 34 [size =\"27436032\"]\n  2 -> 38 [size =\"27436032\"]\n  2 -> 39 [size =\"27436032\"]\n  2 -> 42 [size =\"27436032\"]\n  2 -> 43 [size =\"27436032\"]\n  3 [size=\"121118720\", alpha=\"0.15\", expect_size=\"36335616\"] \n  3 -> 26 [size =\"36335616\"]\n  3 -> 29 [size =\"36335616\"]\n  3 -> 32 [size =\"36335616\"]\n  3 -> 35 [size =\"36335616\"]\n  3 -> 38 [size =\"36335616\"]\n  3 -> 39 [size =\"36335616\"]\n  3 -> 41 [size =\"36335616\"]\n  3 -> 43 [size =\"36335616\"]\n  4 [size=\"91630933\", alpha=\"0.06\", expect_size=\"27489280\"] \n  4 -> 26 [size =\"27489280\"]\n  4 -> 27 [size =\"27489280\"]\n  4 -> 28 [size =\"27489280\"]\n  4 -> 29 [size =\"27489280\"]\n  4 -> 35 [size =\"27489280\"]\n  4 -> 38 [size =\"27489280\"]\n  4 -> 41 [size =\"27489280\"]\n  4 -> 42 [size =\"27489280\"]\n  4 -> 43 [size =\"27489280\"]\n  4 -> 44 [size =\"27489280\"]\n  5 [size=\"30661973\", alpha=\"0.13\", expect_size=\"9198592\"] \n  5 -> 26 [size =\"9198592\"]\n  5 -> 27 [size =\"9198592\"]\n  5 -> 29 [size =\"9198592\"]\n  5 -> 29 [size =\"9198592\"]\n  5 -> 34 [size =\"9198592\"]\n  5 -> 35 [size =\"9198592\"]\n  5 -> 38 [size =\"9198592\"]\n  5 -> 42 [size =\"9198592\"]\n  5 -> 43 [size =\"9198592\"]\n  5 -> 44 [size =\"9198592\"]\n  5 -> 45 [size =\"9198592\"]\n  6 [size=\"123951787\", alpha=\"0.19\", expect_size=\"37185536\"] \n  6 -> 29 [size =\"37185536\"]\n  6 -> 32 [size =\"37185536\"]\n  6 -> 34 [size =\"37185536\"]\n  6 -> 42 [size =\"37185536\"]\n  6 -> 43 [size =\"37185536\"]\n  6 -> 45 [size =\"37185536\"]\n  7 [size=\"102215680\", alpha=\"0.17\", expect_size=\"30664704\"] \n  7 -> 29 [size =\"30664704\"]\n  7 -> 32 [size =\"30664704\"]\n  7 -> 41 [size =\"30664704\"]\n  7 -> 42 [size =\"30664704\"]\n  7 -> 43 [size =\"30664704\"]\n  7 -> 45 [size =\"30664704\"]\n  8 [size=\"143967573\", alpha=\"0.16\", expect_size=\"43190272\"] \n  8 -> 29 [size =\"43190272\"]\n  8 -> 40 [size =\"43190272\"]\n  8 -> 42 [size =\"43190272\"]\n  9 [size=\"100744533\", alpha=\"0.07\", expect_size=\"30223360\"] \n  9 -> 26 [size =\"30223360\"]\n  9 -> 28 [size =\"30223360\"]\n  9 -> 29 [size =\"30223360\"]\n  9 -> 34 [size =\"30223360\"]\n  9 -> 35 [size =\"30223360\"]\n  9 -> 42 [size =\"30223360\"]\n  9 -> 43 [size =\"30223360\"]\n  10 [size=\"121152853\", alpha=\"0.13\", expect_size=\"36345856\"] \n  10 -> 26 [size =\"36345856\"]\n  10 -> 27 [size =\"36345856\"]\n  10 -> 32 [size =\"36345856\"]\n  10 -> 34 [size =\"36345856\"]\n  10 -> 43 [size =\"36345856\"]\n  10 -> 45 [size =\"36345856\"]\n  11 [size=\"82333013\", alpha=\"0.12\", expect_size=\"24699904\"] \n  11 -> 26 [size =\"24699904\"]\n  11 -> 32 [size =\"24699904\"]\n  11 -> 34 [size =\"24699904\"]\n  11 -> 35 [size =\"24699904\"]\n  11 -> 39 [size =\"24699904\"]\n  11 -> 43 [size =\"24699904\"]\n  11 -> 45 [size =\"24699904\"]\n  12 [size=\"112537600\", alpha=\"0.06\", expect_size=\"33761280\"] \n  12 -> 28 [size =\"33761280\"]\n  12 -> 32 [size =\"33761280\"]\n  12 -> 35 [size =\"33761280\"]\n  12 -> 36 [size =\"33761280\"]\n  13 [size=\"82718720\", alpha=\"0.11\", expect_size=\"24815616\"] \n  13 -> 30 [size =\"24815616\"]\n  13 -> 33 [size =\"24815616\"]\n  13 -> 38 [size =\"24815616\"]\n  13 -> 39 [size =\"24815616\"]\n  13 -> 41 [size =\"24815616\"]\n  13 -> 45 [size =\"24815616\"]\n  14 [size=\"43939840\", alpha=\"0.00\", expect_size=\"13181952\"] \n  14 -> 28 [size =\"13181952\"]\n  14 -> 32 [size =\"13181952\"]\n  14 -> 39 [size =\"13181952\"]\n  14 -> 41 [size =\"13181952\"]\n  14 -> 42 [size =\"13181952\"]\n  14 -> 45 [size =\"13181952\"]\n  15 [size=\"92689067\", alpha=\"0.18\", expect_size=\"27806720\"] \n  15 -> 29 [size =\"27806720\"]\n  15 -> 34 [size =\"27806720\"]\n  15 -> 39 [size =\"27806720\"]\n  15 -> 42 [size =\"27806720\"]\n  16 [size=\"40352427\", alpha=\"0.11\", expect_size=\"12105728\"] \n  16 -> 29 [size =\"12105728\"]\n  16 -> 30 [size =\"12105728\"]\n  16 -> 34 [size =\"12105728\"]\n  16 -> 35 [size =\"12105728\"]\n  16 -> 39 [size =\"12105728\"]\n  16 -> 40 [size =\"12105728\"]\n  16 -> 41 [size =\"12105728\"]\n  16 -> 42 [size =\"12105728\"]\n  17 [size=\"28566187\", alpha=\"0.05\", expect_size=\"8569856\"] \n  17 -> 30 [size =\"8569856\"]\n  17 -> 33 [size =\"8569856\"]\n  17 -> 34 [size =\"8569856\"]\n  17 -> 40 [size =\"8569856\"]\n  17 -> 42 [size =\"8569856\"]\n  18 [size=\"161778347\", alpha=\"0.01\", expect_size=\"48533504\"] \n  18 -> 34 [size =\"48533504\"]\n  18 -> 35 [size =\"48533504\"]\n  18 -> 40 [size =\"48533504\"]\n  18 -> 41 [size =\"48533504\"]\n  19 [size=\"126999893\", alpha=\"0.13\", expect_size=\"38099968\"] \n  19 -> 26 [size =\"38099968\"]\n  19 -> 37 [size =\"38099968\"]\n  19 -> 38 [size =\"38099968\"]\n  19 -> 40 [size =\"38099968\"]\n  19 -> 41 [size =\"38099968\"]\n  19 -> 43 [size =\"38099968\"]\n  19 -> 45 [size =\"38099968\"]\n  20 [size=\"27610453\", alpha=\"0.09\", expect_size=\"8283136\"] \n  20 -> 32 [size =\"8283136\"]\n  20 -> 34 [size =\"8283136\"]\n  20 -> 39 [size =\"8283136\"]\n  20 -> 40 [size =\"8283136\"]\n  20 -> 42 [size =\"8283136\"]\n  21 [size=\"126467413\", alpha=\"0.12\", expect_size=\"37940224\"] \n  21 -> 26 [size =\"37940224\"]\n  21 -> 31 [size =\"37940224\"]\n  21 -> 33 [size =\"37940224\"]\n  21 -> 34 [size =\"37940224\"]\n  21 -> 35 [size =\"37940224\"]\n  21 -> 38 [size =\"37940224\"]\n  21 -> 39 [size =\"37940224\"]\n  21 -> 40 [size =\"37940224\"]\n  21 -> 45 [size =\"37940224\"]\n  22 [size=\"62549333\", alpha=\"0.05\", expect_size=\"18764800\"] \n  22 -> 32 [size =\"18764800\"]\n  22 -> 34 [size =\"18764800\"]\n  22 -> 38 [size =\"18764800\"]\n  22 -> 39 [size =\"18764800\"]\n  22 -> 43 [size =\"18764800\"]\n  23 [size=\"108294827\", alpha=\"0.11\", expect_size=\"32488448\"] \n  23 -> 32 [size =\"32488448\"]\n  23 -> 36 [size =\"32488448\"]\n  23 -> 39 [size =\"32488448\"]\n  23 -> 41 [size =\"32488448\"]\n  23 -> 43 [size =\"32488448\"]\n  24 [size=\"34853547\", alpha=\"0.06\", expect_size=\"10456064\"] \n  24 -> 26 [size =\"10456064\"]\n  24 -> 28 [size =\"10456064\"]\n  24 -> 32 [size =\"10456064\"]\n  24 -> 33 [size =\"10456064\"]\n  24 -> 35 [size =\"10456064\"]\n  24 -> 38 [size =\"10456064\"]\n  24 -> 40 [size =\"10456064\"]\n  24 -> 44 [size =\"10456064\"]\n  24 -> 45 [size =\"10456064\"]\n  25 [size=\"35938987\", alpha=\"0.03\", expect_size=\"10781696\"] \n  25 -> 26 [size =\"10781696\"]\n  25 -> 27 [size =\"10781696\"]\n  25 -> 28 [size =\"10781696\"]\n  25 -> 29 [size =\"10781696\"]\n  25 -> 35 [size =\"10781696\"]\n  25 -> 38 [size =\"10781696\"]\n  25 -> 42 [size =\"10781696\"]\n  25 -> 44 [size =\"10781696\"]\n  26 [size=\"22213973\", alpha=\"0.13\", expect_size=\"6664192\"] \n  27 [size=\"104932693\", alpha=\"0.15\", expect_size=\"31479808\"] \n  28 [size=\"142721707\", alpha=\"0.12\", expect_size=\"42816512\"] \n  29 [size=\"149671253\", alpha=\"0.20\", expect_size=\"44901376\"] \n  30 [size=\"96989867\", alpha=\"0.01\", expect_size=\"29096960\"] \n  31 [size=\"168024747\", alpha=\"0.10\", expect_size=\"50407424\"] \n  32 [size=\"107205973\", alpha=\"0.12\", expect_size=\"32161792\"] \n  33 [size=\"145803947\", alpha=\"0.01\", expect_size=\"43741184\"] \n  34 [size=\"72884907\", alpha=\"0.15\", expect_size=\"21865472\"] \n  35 [size=\"119900160\", alpha=\"0.17\", expect_size=\"35970048\"] \n  36 [size=\"142742187\", alpha=\"0.03\", expect_size=\"42822656\"] \n  37 [size=\"90606933\", alpha=\"0.10\", expect_size=\"27182080\"] \n  38 [size=\"48237227\", alpha=\"0.15\", expect_size=\"14471168\"] \n  39 [size=\"142120960\", alpha=\"0.14\", expect_size=\"42636288\"] \n  40 [size=\"140957013\", alpha=\"0.15\", expect_size=\"42287104\"] \n  41 [size=\"148425387\", alpha=\"0.09\", expect_size=\"44527616\"] \n  42 [size=\"72096427\", alpha=\"0.09\", expect_size=\"21628928\"] \n  43 [size=\"164321280\", alpha=\"0.01\", expect_size=\"49296384\"] \n  44 [size=\"18486613\", alpha=\"0.15\", expect_size=\"5545984\"] \n  45 [size=\"132918613\", alpha=\"0.11\", expect_size=\"39875584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102569984\", alpha=\"0.11\", expect_size=\"51284992\"] \n  1 -> 30 [size =\"51284992\"]\n  1 -> 33 [size =\"51284992\"]\n  1 -> 35 [size =\"51284992\"]\n  1 -> 37 [size =\"51284992\"]\n  1 -> 42 [size =\"51284992\"]\n  1 -> 44 [size =\"51284992\"]\n  1 -> 45 [size =\"51284992\"]\n  2 [size=\"96024576\", alpha=\"0.08\", expect_size=\"48012288\"] \n  2 -> 33 [size =\"48012288\"]\n  2 -> 33 [size =\"48012288\"]\n  2 -> 37 [size =\"48012288\"]\n  2 -> 38 [size =\"48012288\"]\n  2 -> 39 [size =\"48012288\"]\n  2 -> 40 [size =\"48012288\"]\n  3 [size=\"82520064\", alpha=\"0.15\", expect_size=\"41260032\"] \n  3 -> 31 [size =\"41260032\"]\n  3 -> 34 [size =\"41260032\"]\n  3 -> 40 [size =\"41260032\"]\n  3 -> 45 [size =\"41260032\"]\n  4 [size=\"37607424\", alpha=\"0.18\", expect_size=\"18803712\"] \n  4 -> 34 [size =\"18803712\"]\n  4 -> 37 [size =\"18803712\"]\n  4 -> 41 [size =\"18803712\"]\n  4 -> 42 [size =\"18803712\"]\n  4 -> 43 [size =\"18803712\"]\n  4 -> 45 [size =\"18803712\"]\n  5 [size=\"15929344\", alpha=\"0.00\", expect_size=\"7964672\"] \n  5 -> 32 [size =\"7964672\"]\n  5 -> 33 [size =\"7964672\"]\n  5 -> 34 [size =\"7964672\"]\n  5 -> 35 [size =\"7964672\"]\n  5 -> 41 [size =\"7964672\"]\n  6 [size=\"76013568\", alpha=\"0.05\", expect_size=\"38006784\"] \n  6 -> 39 [size =\"38006784\"]\n  6 -> 41 [size =\"38006784\"]\n  6 -> 42 [size =\"38006784\"]\n  6 -> 44 [size =\"38006784\"]\n  7 [size=\"73740288\", alpha=\"0.05\", expect_size=\"36870144\"] \n  7 -> 31 [size =\"36870144\"]\n  7 -> 35 [size =\"36870144\"]\n  7 -> 37 [size =\"36870144\"]\n  7 -> 40 [size =\"36870144\"]\n  7 -> 41 [size =\"36870144\"]\n  7 -> 44 [size =\"36870144\"]\n  7 -> 45 [size =\"36870144\"]\n  8 [size=\"13387776\", alpha=\"0.14\", expect_size=\"6693888\"] \n  8 -> 30 [size =\"6693888\"]\n  8 -> 31 [size =\"6693888\"]\n  8 -> 38 [size =\"6693888\"]\n  8 -> 41 [size =\"6693888\"]\n  9 [size=\"98277376\", alpha=\"0.01\", expect_size=\"49138688\"] \n  9 -> 33 [size =\"49138688\"]\n  9 -> 35 [size =\"49138688\"]\n  9 -> 38 [size =\"49138688\"]\n  9 -> 40 [size =\"49138688\"]\n  9 -> 41 [size =\"49138688\"]\n  9 -> 44 [size =\"49138688\"]\n  9 -> 45 [size =\"49138688\"]\n  10 [size=\"35461120\", alpha=\"0.10\", expect_size=\"17730560\"] \n  10 -> 32 [size =\"17730560\"]\n  10 -> 33 [size =\"17730560\"]\n  10 -> 36 [size =\"17730560\"]\n  10 -> 38 [size =\"17730560\"]\n  10 -> 41 [size =\"17730560\"]\n  11 [size=\"42553344\", alpha=\"0.02\", expect_size=\"21276672\"] \n  11 -> 30 [size =\"21276672\"]\n  11 -> 32 [size =\"21276672\"]\n  11 -> 36 [size =\"21276672\"]\n  11 -> 37 [size =\"21276672\"]\n  11 -> 38 [size =\"21276672\"]\n  11 -> 40 [size =\"21276672\"]\n  11 -> 41 [size =\"21276672\"]\n  11 -> 44 [size =\"21276672\"]\n  12 [size=\"94939136\", alpha=\"0.10\", expect_size=\"47469568\"] \n  12 -> 32 [size =\"47469568\"]\n  12 -> 32 [size =\"47469568\"]\n  12 -> 36 [size =\"47469568\"]\n  12 -> 40 [size =\"47469568\"]\n  12 -> 41 [size =\"47469568\"]\n  12 -> 42 [size =\"47469568\"]\n  13 [size=\"37799936\", alpha=\"0.09\", expect_size=\"18899968\"] \n  13 -> 32 [size =\"18899968\"]\n  13 -> 40 [size =\"18899968\"]\n  13 -> 41 [size =\"18899968\"]\n  13 -> 42 [size =\"18899968\"]\n  14 [size=\"15652864\", alpha=\"0.04\", expect_size=\"7826432\"] \n  14 -> 31 [size =\"7826432\"]\n  14 -> 34 [size =\"7826432\"]\n  14 -> 35 [size =\"7826432\"]\n  14 -> 38 [size =\"7826432\"]\n  14 -> 41 [size =\"7826432\"]\n  14 -> 42 [size =\"7826432\"]\n  14 -> 43 [size =\"7826432\"]\n  14 -> 45 [size =\"7826432\"]\n  15 [size=\"101066752\", alpha=\"0.00\", expect_size=\"50533376\"] \n  15 -> 32 [size =\"50533376\"]\n  15 -> 34 [size =\"50533376\"]\n  15 -> 35 [size =\"50533376\"]\n  15 -> 37 [size =\"50533376\"]\n  15 -> 38 [size =\"50533376\"]\n  15 -> 40 [size =\"50533376\"]\n  15 -> 42 [size =\"50533376\"]\n  15 -> 45 [size =\"50533376\"]\n  16 [size=\"102998016\", alpha=\"0.20\", expect_size=\"51499008\"] \n  16 -> 35 [size =\"51499008\"]\n  16 -> 36 [size =\"51499008\"]\n  16 -> 38 [size =\"51499008\"]\n  16 -> 42 [size =\"51499008\"]\n  16 -> 44 [size =\"51499008\"]\n  17 [size=\"30982144\", alpha=\"0.06\", expect_size=\"15491072\"] \n  17 -> 31 [size =\"15491072\"]\n  17 -> 33 [size =\"15491072\"]\n  17 -> 34 [size =\"15491072\"]\n  17 -> 35 [size =\"15491072\"]\n  17 -> 38 [size =\"15491072\"]\n  17 -> 40 [size =\"15491072\"]\n  17 -> 42 [size =\"15491072\"]\n  18 [size=\"53485568\", alpha=\"0.11\", expect_size=\"26742784\"] \n  18 -> 31 [size =\"26742784\"]\n  18 -> 35 [size =\"26742784\"]\n  18 -> 37 [size =\"26742784\"]\n  18 -> 38 [size =\"26742784\"]\n  18 -> 38 [size =\"26742784\"]\n  18 -> 41 [size =\"26742784\"]\n  18 -> 42 [size =\"26742784\"]\n  19 [size=\"27125760\", alpha=\"0.01\", expect_size=\"13562880\"] \n  19 -> 35 [size =\"13562880\"]\n  19 -> 35 [size =\"13562880\"]\n  19 -> 38 [size =\"13562880\"]\n  19 -> 38 [size =\"13562880\"]\n  20 [size=\"30246912\", alpha=\"0.11\", expect_size=\"15123456\"] \n  20 -> 37 [size =\"15123456\"]\n  21 [size=\"78028800\", alpha=\"0.00\", expect_size=\"39014400\"] \n  21 -> 30 [size =\"39014400\"]\n  21 -> 31 [size =\"39014400\"]\n  21 -> 35 [size =\"39014400\"]\n  22 [size=\"88115200\", alpha=\"0.08\", expect_size=\"44057600\"] \n  22 -> 31 [size =\"44057600\"]\n  22 -> 32 [size =\"44057600\"]\n  22 -> 33 [size =\"44057600\"]\n  22 -> 34 [size =\"44057600\"]\n  22 -> 37 [size =\"44057600\"]\n  22 -> 38 [size =\"44057600\"]\n  22 -> 44 [size =\"44057600\"]\n  22 -> 45 [size =\"44057600\"]\n  23 [size=\"42862592\", alpha=\"0.11\", expect_size=\"21431296\"] \n  23 -> 31 [size =\"21431296\"]\n  23 -> 33 [size =\"21431296\"]\n  23 -> 34 [size =\"21431296\"]\n  23 -> 36 [size =\"21431296\"]\n  23 -> 37 [size =\"21431296\"]\n  23 -> 40 [size =\"21431296\"]\n  23 -> 41 [size =\"21431296\"]\n  23 -> 43 [size =\"21431296\"]\n  23 -> 45 [size =\"21431296\"]\n  24 [size=\"82997248\", alpha=\"0.19\", expect_size=\"41498624\"] \n  24 -> 31 [size =\"41498624\"]\n  24 -> 34 [size =\"41498624\"]\n  24 -> 35 [size =\"41498624\"]\n  24 -> 36 [size =\"41498624\"]\n  24 -> 38 [size =\"41498624\"]\n  24 -> 40 [size =\"41498624\"]\n  24 -> 42 [size =\"41498624\"]\n  24 -> 44 [size =\"41498624\"]\n  24 -> 45 [size =\"41498624\"]\n  25 [size=\"101263360\", alpha=\"0.09\", expect_size=\"50631680\"] \n  25 -> 32 [size =\"50631680\"]\n  25 -> 33 [size =\"50631680\"]\n  25 -> 34 [size =\"50631680\"]\n  25 -> 36 [size =\"50631680\"]\n  25 -> 38 [size =\"50631680\"]\n  25 -> 41 [size =\"50631680\"]\n  25 -> 44 [size =\"50631680\"]\n  25 -> 45 [size =\"50631680\"]\n  25 -> 45 [size =\"50631680\"]\n  26 [size=\"102107136\", alpha=\"0.12\", expect_size=\"51053568\"] \n  26 -> 33 [size =\"51053568\"]\n  26 -> 33 [size =\"51053568\"]\n  26 -> 34 [size =\"51053568\"]\n  26 -> 36 [size =\"51053568\"]\n  26 -> 37 [size =\"51053568\"]\n  26 -> 38 [size =\"51053568\"]\n  26 -> 39 [size =\"51053568\"]\n  26 -> 45 [size =\"51053568\"]\n  27 [size=\"101820416\", alpha=\"0.09\", expect_size=\"50910208\"] \n  27 -> 31 [size =\"50910208\"]\n  27 -> 33 [size =\"50910208\"]\n  27 -> 35 [size =\"50910208\"]\n  27 -> 36 [size =\"50910208\"]\n  27 -> 37 [size =\"50910208\"]\n  27 -> 40 [size =\"50910208\"]\n  27 -> 41 [size =\"50910208\"]\n  27 -> 42 [size =\"50910208\"]\n  28 [size=\"36325376\", alpha=\"0.07\", expect_size=\"18162688\"] \n  28 -> 36 [size =\"18162688\"]\n  28 -> 37 [size =\"18162688\"]\n  28 -> 38 [size =\"18162688\"]\n  28 -> 42 [size =\"18162688\"]\n  28 -> 45 [size =\"18162688\"]\n  29 [size=\"88477696\", alpha=\"0.03\", expect_size=\"44238848\"] \n  29 -> 33 [size =\"44238848\"]\n  29 -> 37 [size =\"44238848\"]\n  29 -> 38 [size =\"44238848\"]\n  29 -> 40 [size =\"44238848\"]\n  29 -> 44 [size =\"44238848\"]\n  29 -> 45 [size =\"44238848\"]\n  30 [size=\"92706816\", alpha=\"0.05\", expect_size=\"46353408\"] \n  31 [size=\"49283072\", alpha=\"0.13\", expect_size=\"24641536\"] \n  32 [size=\"50288640\", alpha=\"0.19\", expect_size=\"25144320\"] \n  33 [size=\"86892544\", alpha=\"0.11\", expect_size=\"43446272\"] \n  34 [size=\"42383360\", alpha=\"0.04\", expect_size=\"21191680\"] \n  35 [size=\"38258688\", alpha=\"0.17\", expect_size=\"19129344\"] \n  36 [size=\"79962112\", alpha=\"0.09\", expect_size=\"39981056\"] \n  37 [size=\"44275712\", alpha=\"0.05\", expect_size=\"22137856\"] \n  38 [size=\"88829952\", alpha=\"0.10\", expect_size=\"44414976\"] \n  39 [size=\"27783168\", alpha=\"0.19\", expect_size=\"13891584\"] \n  40 [size=\"43300864\", alpha=\"0.12\", expect_size=\"21650432\"] \n  41 [size=\"65984512\", alpha=\"0.20\", expect_size=\"32992256\"] \n  42 [size=\"33533952\", alpha=\"0.03\", expect_size=\"16766976\"] \n  43 [size=\"30402560\", alpha=\"0.14\", expect_size=\"15201280\"] \n  44 [size=\"83904512\", alpha=\"0.00\", expect_size=\"41952256\"] \n  45 [size=\"104839168\", alpha=\"0.05\", expect_size=\"52419584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64776192\", alpha=\"0.19\", expect_size=\"32388096\"] \n  1 -> 4 [size =\"32388096\"]\n  2 [size=\"72974336\", alpha=\"0.15\", expect_size=\"36487168\"] \n  2 -> 3 [size =\"36487168\"]\n  2 -> 4 [size =\"36487168\"]\n  2 -> 5 [size =\"36487168\"]\n  2 -> 6 [size =\"36487168\"]\n  3 [size=\"29501440\", alpha=\"0.18\", expect_size=\"14750720\"] \n  4 [size=\"80824320\", alpha=\"0.15\", expect_size=\"40412160\"] \n  4 -> 7 [size =\"40412160\"]\n  5 [size=\"99330048\", alpha=\"0.07\", expect_size=\"49665024\"] \n  5 -> 7 [size =\"49665024\"]\n  5 -> 9 [size =\"49665024\"]\n  6 [size=\"75565056\", alpha=\"0.14\", expect_size=\"37782528\"] \n  6 -> 7 [size =\"37782528\"]\n  6 -> 8 [size =\"37782528\"]\n  6 -> 9 [size =\"37782528\"]\n  7 [size=\"89214976\", alpha=\"0.02\", expect_size=\"44607488\"] \n  8 [size=\"50051072\", alpha=\"0.14\", expect_size=\"25025536\"] \n  8 -> 10 [size =\"25025536\"]\n  8 -> 12 [size =\"25025536\"]\n  9 [size=\"10797056\", alpha=\"0.15\", expect_size=\"5398528\"] \n  9 -> 10 [size =\"5398528\"]\n  9 -> 11 [size =\"5398528\"]\n  10 [size=\"34430976\", alpha=\"0.00\", expect_size=\"17215488\"] \n  10 -> 13 [size =\"17215488\"]\n  10 -> 14 [size =\"17215488\"]\n  11 [size=\"71561216\", alpha=\"0.17\", expect_size=\"35780608\"] \n  11 -> 13 [size =\"35780608\"]\n  12 [size=\"65921024\", alpha=\"0.03\", expect_size=\"32960512\"] \n  12 -> 14 [size =\"32960512\"]\n  13 [size=\"40718336\", alpha=\"0.10\", expect_size=\"20359168\"] \n  14 [size=\"32731136\", alpha=\"0.18\", expect_size=\"16365568\"] \n  14 -> 15 [size =\"16365568\"]\n  14 -> 16 [size =\"16365568\"]\n  15 [size=\"10561536\", alpha=\"0.05\", expect_size=\"5280768\"] \n  16 [size=\"43866112\", alpha=\"0.20\", expect_size=\"21933056\"] \n  16 -> 17 [size =\"21933056\"]\n  17 [size=\"16386048\", alpha=\"0.15\", expect_size=\"8193024\"] \n  17 -> 18 [size =\"8193024\"]\n  17 -> 19 [size =\"8193024\"]\n  17 -> 20 [size =\"8193024\"]\n  17 -> 21 [size =\"8193024\"]\n  18 [size=\"25083904\", alpha=\"0.06\", expect_size=\"12541952\"] \n  18 -> 22 [size =\"12541952\"]\n  19 [size=\"92456960\", alpha=\"0.17\", expect_size=\"46228480\"] \n  20 [size=\"70469632\", alpha=\"0.16\", expect_size=\"35234816\"] \n  20 -> 23 [size =\"35234816\"]\n  21 [size=\"70860800\", alpha=\"0.06\", expect_size=\"35430400\"] \n  22 [size=\"55347200\", alpha=\"0.10\", expect_size=\"27673600\"] \n  22 -> 24 [size =\"27673600\"]\n  22 -> 26 [size =\"27673600\"]\n  23 [size=\"67411968\", alpha=\"0.18\", expect_size=\"33705984\"] \n  23 -> 25 [size =\"33705984\"]\n  24 [size=\"20230144\", alpha=\"0.00\", expect_size=\"10115072\"] \n  24 -> 29 [size =\"10115072\"]\n  25 [size=\"12546048\", alpha=\"0.02\", expect_size=\"6273024\"] \n  26 [size=\"35475456\", alpha=\"0.17\", expect_size=\"17737728\"] \n  26 -> 27 [size =\"17737728\"]\n  26 -> 28 [size =\"17737728\"]\n  26 -> 29 [size =\"17737728\"]\n  27 [size=\"35094528\", alpha=\"0.09\", expect_size=\"17547264\"] \n  27 -> 31 [size =\"17547264\"]\n  28 [size=\"10575872\", alpha=\"0.10\", expect_size=\"5287936\"] \n  28 -> 30 [size =\"5287936\"]\n  28 -> 32 [size =\"5287936\"]\n  29 [size=\"36687872\", alpha=\"0.10\", expect_size=\"18343936\"] \n  29 -> 30 [size =\"18343936\"]\n  29 -> 31 [size =\"18343936\"]\n  30 [size=\"20797440\", alpha=\"0.16\", expect_size=\"10398720\"] \n  30 -> 33 [size =\"10398720\"]\n  30 -> 34 [size =\"10398720\"]\n  31 [size=\"94619648\", alpha=\"0.14\", expect_size=\"47309824\"] \n  31 -> 33 [size =\"47309824\"]\n  31 -> 35 [size =\"47309824\"]\n  32 [size=\"29329408\", alpha=\"0.04\", expect_size=\"14664704\"] \n  32 -> 34 [size =\"14664704\"]\n  33 [size=\"76161024\", alpha=\"0.01\", expect_size=\"38080512\"] \n  34 [size=\"65384448\", alpha=\"0.02\", expect_size=\"32692224\"] \n  35 [size=\"67338240\", alpha=\"0.04\", expect_size=\"33669120\"] \n  35 -> 36 [size =\"33669120\"]\n  36 [size=\"76500992\", alpha=\"0.12\", expect_size=\"38250496\"] \n  36 -> 37 [size =\"38250496\"]\n  37 [size=\"63576064\", alpha=\"0.02\", expect_size=\"31788032\"] \n  37 -> 38 [size =\"31788032\"]\n  37 -> 39 [size =\"31788032\"]\n  38 [size=\"12924928\", alpha=\"0.15\", expect_size=\"6462464\"] \n  38 -> 41 [size =\"6462464\"]\n  39 [size=\"58484736\", alpha=\"0.05\", expect_size=\"29242368\"] \n  39 -> 40 [size =\"29242368\"]\n  39 -> 41 [size =\"29242368\"]\n  40 [size=\"11825152\", alpha=\"0.08\", expect_size=\"5912576\"] \n  40 -> 42 [size =\"5912576\"]\n  40 -> 43 [size =\"5912576\"]\n  41 [size=\"85635072\", alpha=\"0.03\", expect_size=\"42817536\"] \n  41 -> 42 [size =\"42817536\"]\n  42 [size=\"57876480\", alpha=\"0.08\", expect_size=\"28938240\"] \n  42 -> 44 [size =\"28938240\"]\n  42 -> 45 [size =\"28938240\"]\n  43 [size=\"78358528\", alpha=\"0.06\", expect_size=\"39179264\"] \n  43 -> 44 [size =\"39179264\"]\n  44 [size=\"82941952\", alpha=\"0.05\", expect_size=\"41470976\"] \n  45 [size=\"93874176\", alpha=\"0.05\", expect_size=\"46937088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35279360\", alpha=\"0.06\", expect_size=\"14111744\"] \n  1 -> 30 [size =\"14111744\"]\n  1 -> 31 [size =\"14111744\"]\n  1 -> 34 [size =\"14111744\"]\n  1 -> 36 [size =\"14111744\"]\n  1 -> 37 [size =\"14111744\"]\n  1 -> 41 [size =\"14111744\"]\n  1 -> 42 [size =\"14111744\"]\n  1 -> 43 [size =\"14111744\"]\n  1 -> 45 [size =\"14111744\"]\n  2 [size=\"106496000\", alpha=\"0.02\", expect_size=\"42598400\"] \n  2 -> 30 [size =\"42598400\"]\n  2 -> 31 [size =\"42598400\"]\n  2 -> 32 [size =\"42598400\"]\n  2 -> 34 [size =\"42598400\"]\n  2 -> 36 [size =\"42598400\"]\n  2 -> 37 [size =\"42598400\"]\n  2 -> 38 [size =\"42598400\"]\n  2 -> 39 [size =\"42598400\"]\n  2 -> 41 [size =\"42598400\"]\n  2 -> 42 [size =\"42598400\"]\n  2 -> 43 [size =\"42598400\"]\n  3 [size=\"129617920\", alpha=\"0.16\", expect_size=\"51847168\"] \n  3 -> 30 [size =\"51847168\"]\n  3 -> 31 [size =\"51847168\"]\n  3 -> 32 [size =\"51847168\"]\n  3 -> 33 [size =\"51847168\"]\n  3 -> 35 [size =\"51847168\"]\n  3 -> 38 [size =\"51847168\"]\n  3 -> 39 [size =\"51847168\"]\n  3 -> 40 [size =\"51847168\"]\n  3 -> 41 [size =\"51847168\"]\n  3 -> 43 [size =\"51847168\"]\n  3 -> 43 [size =\"51847168\"]\n  3 -> 45 [size =\"51847168\"]\n  4 [size=\"123750400\", alpha=\"0.02\", expect_size=\"49500160\"] \n  4 -> 30 [size =\"49500160\"]\n  4 -> 33 [size =\"49500160\"]\n  4 -> 35 [size =\"49500160\"]\n  4 -> 37 [size =\"49500160\"]\n  4 -> 38 [size =\"49500160\"]\n  4 -> 40 [size =\"49500160\"]\n  4 -> 41 [size =\"49500160\"]\n  4 -> 43 [size =\"49500160\"]\n  4 -> 45 [size =\"49500160\"]\n  5 [size=\"75356160\", alpha=\"0.05\", expect_size=\"30142464\"] \n  5 -> 29 [size =\"30142464\"]\n  5 -> 30 [size =\"30142464\"]\n  5 -> 31 [size =\"30142464\"]\n  5 -> 33 [size =\"30142464\"]\n  5 -> 36 [size =\"30142464\"]\n  5 -> 37 [size =\"30142464\"]\n  5 -> 40 [size =\"30142464\"]\n  5 -> 41 [size =\"30142464\"]\n  5 -> 43 [size =\"30142464\"]\n  6 [size=\"102264320\", alpha=\"0.08\", expect_size=\"40905728\"] \n  6 -> 30 [size =\"40905728\"]\n  6 -> 30 [size =\"40905728\"]\n  6 -> 32 [size =\"40905728\"]\n  6 -> 33 [size =\"40905728\"]\n  6 -> 35 [size =\"40905728\"]\n  6 -> 36 [size =\"40905728\"]\n  6 -> 37 [size =\"40905728\"]\n  6 -> 38 [size =\"40905728\"]\n  6 -> 39 [size =\"40905728\"]\n  6 -> 40 [size =\"40905728\"]\n  6 -> 41 [size =\"40905728\"]\n  6 -> 43 [size =\"40905728\"]\n  7 [size=\"126940160\", alpha=\"0.11\", expect_size=\"50776064\"] \n  7 -> 30 [size =\"50776064\"]\n  7 -> 32 [size =\"50776064\"]\n  7 -> 33 [size =\"50776064\"]\n  7 -> 34 [size =\"50776064\"]\n  7 -> 40 [size =\"50776064\"]\n  7 -> 41 [size =\"50776064\"]\n  7 -> 43 [size =\"50776064\"]\n  7 -> 45 [size =\"50776064\"]\n  8 [size=\"15651840\", alpha=\"0.03\", expect_size=\"6260736\"] \n  8 -> 30 [size =\"6260736\"]\n  8 -> 33 [size =\"6260736\"]\n  8 -> 36 [size =\"6260736\"]\n  8 -> 37 [size =\"6260736\"]\n  8 -> 41 [size =\"6260736\"]\n  8 -> 45 [size =\"6260736\"]\n  9 [size=\"104755200\", alpha=\"0.18\", expect_size=\"41902080\"] \n  9 -> 30 [size =\"41902080\"]\n  9 -> 33 [size =\"41902080\"]\n  9 -> 35 [size =\"41902080\"]\n  9 -> 36 [size =\"41902080\"]\n  9 -> 37 [size =\"41902080\"]\n  9 -> 41 [size =\"41902080\"]\n  9 -> 43 [size =\"41902080\"]\n  9 -> 45 [size =\"41902080\"]\n  10 [size=\"75517440\", alpha=\"0.06\", expect_size=\"30206976\"] \n  10 -> 30 [size =\"30206976\"]\n  10 -> 33 [size =\"30206976\"]\n  10 -> 36 [size =\"30206976\"]\n  10 -> 36 [size =\"30206976\"]\n  10 -> 37 [size =\"30206976\"]\n  10 -> 40 [size =\"30206976\"]\n  10 -> 43 [size =\"30206976\"]\n  10 -> 45 [size =\"30206976\"]\n  11 [size=\"102548480\", alpha=\"0.04\", expect_size=\"41019392\"] \n  11 -> 30 [size =\"41019392\"]\n  11 -> 31 [size =\"41019392\"]\n  11 -> 32 [size =\"41019392\"]\n  11 -> 33 [size =\"41019392\"]\n  11 -> 36 [size =\"41019392\"]\n  11 -> 37 [size =\"41019392\"]\n  11 -> 43 [size =\"41019392\"]\n  12 [size=\"19174400\", alpha=\"0.01\", expect_size=\"7669760\"] \n  12 -> 31 [size =\"7669760\"]\n  12 -> 33 [size =\"7669760\"]\n  12 -> 36 [size =\"7669760\"]\n  12 -> 37 [size =\"7669760\"]\n  12 -> 39 [size =\"7669760\"]\n  12 -> 40 [size =\"7669760\"]\n  12 -> 44 [size =\"7669760\"]\n  12 -> 45 [size =\"7669760\"]\n  13 [size=\"28254720\", alpha=\"0.16\", expect_size=\"11301888\"] \n  13 -> 30 [size =\"11301888\"]\n  13 -> 32 [size =\"11301888\"]\n  13 -> 33 [size =\"11301888\"]\n  13 -> 36 [size =\"11301888\"]\n  13 -> 43 [size =\"11301888\"]\n  13 -> 44 [size =\"11301888\"]\n  14 [size=\"123330560\", alpha=\"0.14\", expect_size=\"49332224\"] \n  14 -> 31 [size =\"49332224\"]\n  14 -> 33 [size =\"49332224\"]\n  14 -> 35 [size =\"49332224\"]\n  14 -> 36 [size =\"49332224\"]\n  14 -> 40 [size =\"49332224\"]\n  14 -> 41 [size =\"49332224\"]\n  14 -> 43 [size =\"49332224\"]\n  15 [size=\"18979840\", alpha=\"0.17\", expect_size=\"7591936\"] \n  15 -> 31 [size =\"7591936\"]\n  15 -> 32 [size =\"7591936\"]\n  15 -> 33 [size =\"7591936\"]\n  15 -> 35 [size =\"7591936\"]\n  15 -> 36 [size =\"7591936\"]\n  15 -> 41 [size =\"7591936\"]\n  15 -> 43 [size =\"7591936\"]\n  15 -> 44 [size =\"7591936\"]\n  15 -> 45 [size =\"7591936\"]\n  16 [size=\"48560640\", alpha=\"0.12\", expect_size=\"19424256\"] \n  16 -> 30 [size =\"19424256\"]\n  16 -> 31 [size =\"19424256\"]\n  16 -> 32 [size =\"19424256\"]\n  16 -> 35 [size =\"19424256\"]\n  16 -> 38 [size =\"19424256\"]\n  16 -> 40 [size =\"19424256\"]\n  16 -> 41 [size =\"19424256\"]\n  16 -> 43 [size =\"19424256\"]\n  16 -> 45 [size =\"19424256\"]\n  17 [size=\"94425600\", alpha=\"0.13\", expect_size=\"37770240\"] \n  17 -> 31 [size =\"37770240\"]\n  17 -> 32 [size =\"37770240\"]\n  17 -> 32 [size =\"37770240\"]\n  17 -> 35 [size =\"37770240\"]\n  17 -> 39 [size =\"37770240\"]\n  17 -> 40 [size =\"37770240\"]\n  17 -> 41 [size =\"37770240\"]\n  17 -> 45 [size =\"37770240\"]\n  18 [size=\"41940480\", alpha=\"0.06\", expect_size=\"16776192\"] \n  18 -> 30 [size =\"16776192\"]\n  18 -> 31 [size =\"16776192\"]\n  18 -> 32 [size =\"16776192\"]\n  18 -> 34 [size =\"16776192\"]\n  18 -> 35 [size =\"16776192\"]\n  18 -> 36 [size =\"16776192\"]\n  18 -> 37 [size =\"16776192\"]\n  18 -> 40 [size =\"16776192\"]\n  18 -> 41 [size =\"16776192\"]\n  19 [size=\"58959360\", alpha=\"0.12\", expect_size=\"23583744\"] \n  19 -> 30 [size =\"23583744\"]\n  19 -> 31 [size =\"23583744\"]\n  19 -> 32 [size =\"23583744\"]\n  19 -> 33 [size =\"23583744\"]\n  19 -> 35 [size =\"23583744\"]\n  19 -> 37 [size =\"23583744\"]\n  19 -> 37 [size =\"23583744\"]\n  19 -> 40 [size =\"23583744\"]\n  19 -> 41 [size =\"23583744\"]\n  19 -> 45 [size =\"23583744\"]\n  20 [size=\"48419840\", alpha=\"0.11\", expect_size=\"19367936\"] \n  20 -> 30 [size =\"19367936\"]\n  20 -> 31 [size =\"19367936\"]\n  20 -> 32 [size =\"19367936\"]\n  20 -> 35 [size =\"19367936\"]\n  20 -> 35 [size =\"19367936\"]\n  20 -> 40 [size =\"19367936\"]\n  20 -> 41 [size =\"19367936\"]\n  20 -> 42 [size =\"19367936\"]\n  20 -> 43 [size =\"19367936\"]\n  20 -> 45 [size =\"19367936\"]\n  21 [size=\"86000640\", alpha=\"0.14\", expect_size=\"34400256\"] \n  21 -> 29 [size =\"34400256\"]\n  21 -> 30 [size =\"34400256\"]\n  21 -> 31 [size =\"34400256\"]\n  21 -> 35 [size =\"34400256\"]\n  21 -> 37 [size =\"34400256\"]\n  21 -> 42 [size =\"34400256\"]\n  21 -> 45 [size =\"34400256\"]\n  22 [size=\"109711360\", alpha=\"0.13\", expect_size=\"43884544\"] \n  22 -> 31 [size =\"43884544\"]\n  22 -> 32 [size =\"43884544\"]\n  22 -> 33 [size =\"43884544\"]\n  22 -> 34 [size =\"43884544\"]\n  22 -> 35 [size =\"43884544\"]\n  22 -> 38 [size =\"43884544\"]\n  22 -> 43 [size =\"43884544\"]\n  22 -> 45 [size =\"43884544\"]\n  23 [size=\"116828160\", alpha=\"0.12\", expect_size=\"46731264\"] \n  23 -> 31 [size =\"46731264\"]\n  23 -> 33 [size =\"46731264\"]\n  23 -> 35 [size =\"46731264\"]\n  23 -> 36 [size =\"46731264\"]\n  23 -> 37 [size =\"46731264\"]\n  23 -> 40 [size =\"46731264\"]\n  23 -> 42 [size =\"46731264\"]\n  23 -> 43 [size =\"46731264\"]\n  23 -> 45 [size =\"46731264\"]\n  24 [size=\"93918720\", alpha=\"0.09\", expect_size=\"37567488\"] \n  24 -> 29 [size =\"37567488\"]\n  24 -> 31 [size =\"37567488\"]\n  24 -> 33 [size =\"37567488\"]\n  24 -> 35 [size =\"37567488\"]\n  24 -> 36 [size =\"37567488\"]\n  24 -> 43 [size =\"37567488\"]\n  24 -> 44 [size =\"37567488\"]\n  24 -> 45 [size =\"37567488\"]\n  24 -> 45 [size =\"37567488\"]\n  25 [size=\"56373760\", alpha=\"0.17\", expect_size=\"22549504\"] \n  25 -> 29 [size =\"22549504\"]\n  25 -> 31 [size =\"22549504\"]\n  25 -> 32 [size =\"22549504\"]\n  25 -> 35 [size =\"22549504\"]\n  25 -> 37 [size =\"22549504\"]\n  25 -> 41 [size =\"22549504\"]\n  25 -> 43 [size =\"22549504\"]\n  25 -> 45 [size =\"22549504\"]\n  26 [size=\"37329920\", alpha=\"0.00\", expect_size=\"14931968\"] \n  26 -> 29 [size =\"14931968\"]\n  26 -> 30 [size =\"14931968\"]\n  26 -> 31 [size =\"14931968\"]\n  26 -> 35 [size =\"14931968\"]\n  26 -> 37 [size =\"14931968\"]\n  26 -> 39 [size =\"14931968\"]\n  26 -> 40 [size =\"14931968\"]\n  26 -> 41 [size =\"14931968\"]\n  26 -> 42 [size =\"14931968\"]\n  26 -> 43 [size =\"14931968\"]\n  26 -> 45 [size =\"14931968\"]\n  27 [size=\"108482560\", alpha=\"0.03\", expect_size=\"43393024\"] \n  27 -> 29 [size =\"43393024\"]\n  27 -> 30 [size =\"43393024\"]\n  27 -> 32 [size =\"43393024\"]\n  27 -> 33 [size =\"43393024\"]\n  27 -> 34 [size =\"43393024\"]\n  27 -> 35 [size =\"43393024\"]\n  27 -> 36 [size =\"43393024\"]\n  27 -> 37 [size =\"43393024\"]\n  27 -> 40 [size =\"43393024\"]\n  27 -> 41 [size =\"43393024\"]\n  27 -> 43 [size =\"43393024\"]\n  28 [size=\"65272320\", alpha=\"0.06\", expect_size=\"26108928\"] \n  28 -> 30 [size =\"26108928\"]\n  28 -> 30 [size =\"26108928\"]\n  28 -> 33 [size =\"26108928\"]\n  28 -> 34 [size =\"26108928\"]\n  28 -> 35 [size =\"26108928\"]\n  28 -> 36 [size =\"26108928\"]\n  28 -> 36 [size =\"26108928\"]\n  28 -> 37 [size =\"26108928\"]\n  28 -> 40 [size =\"26108928\"]\n  28 -> 41 [size =\"26108928\"]\n  28 -> 42 [size =\"26108928\"]\n  28 -> 43 [size =\"26108928\"]\n  29 [size=\"101181440\", alpha=\"0.04\", expect_size=\"40472576\"] \n  30 [size=\"52285440\", alpha=\"0.13\", expect_size=\"20914176\"] \n  31 [size=\"117511680\", alpha=\"0.17\", expect_size=\"47004672\"] \n  32 [size=\"83110400\", alpha=\"0.02\", expect_size=\"33244160\"] \n  33 [size=\"42467840\", alpha=\"0.10\", expect_size=\"16987136\"] \n  34 [size=\"112099840\", alpha=\"0.17\", expect_size=\"44839936\"] \n  35 [size=\"48750080\", alpha=\"0.04\", expect_size=\"19500032\"] \n  36 [size=\"32640000\", alpha=\"0.17\", expect_size=\"13056000\"] \n  37 [size=\"34956800\", alpha=\"0.05\", expect_size=\"13982720\"] \n  38 [size=\"51571200\", alpha=\"0.17\", expect_size=\"20628480\"] \n  39 [size=\"85030400\", alpha=\"0.17\", expect_size=\"34012160\"] \n  40 [size=\"109015040\", alpha=\"0.02\", expect_size=\"43606016\"] \n  41 [size=\"67973120\", alpha=\"0.01\", expect_size=\"27189248\"] \n  42 [size=\"51345920\", alpha=\"0.15\", expect_size=\"20538368\"] \n  43 [size=\"65205760\", alpha=\"0.07\", expect_size=\"26082304\"] \n  44 [size=\"124700160\", alpha=\"0.13\", expect_size=\"49880064\"] \n  45 [size=\"104120320\", alpha=\"0.07\", expect_size=\"41648128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63839573\", alpha=\"0.13\", expect_size=\"19151872\"] \n  1 -> 33 [size =\"19151872\"]\n  1 -> 34 [size =\"19151872\"]\n  1 -> 37 [size =\"19151872\"]\n  1 -> 38 [size =\"19151872\"]\n  1 -> 39 [size =\"19151872\"]\n  1 -> 40 [size =\"19151872\"]\n  1 -> 41 [size =\"19151872\"]\n  2 [size=\"133085867\", alpha=\"0.03\", expect_size=\"39925760\"] \n  2 -> 33 [size =\"39925760\"]\n  2 -> 35 [size =\"39925760\"]\n  2 -> 37 [size =\"39925760\"]\n  2 -> 40 [size =\"39925760\"]\n  2 -> 42 [size =\"39925760\"]\n  3 [size=\"33297067\", alpha=\"0.07\", expect_size=\"9989120\"] \n  3 -> 34 [size =\"9989120\"]\n  3 -> 39 [size =\"9989120\"]\n  3 -> 42 [size =\"9989120\"]\n  3 -> 44 [size =\"9989120\"]\n  4 [size=\"137629013\", alpha=\"0.14\", expect_size=\"41288704\"] \n  4 -> 33 [size =\"41288704\"]\n  4 -> 36 [size =\"41288704\"]\n  4 -> 42 [size =\"41288704\"]\n  4 -> 44 [size =\"41288704\"]\n  5 [size=\"19585707\", alpha=\"0.02\", expect_size=\"5875712\"] \n  5 -> 35 [size =\"5875712\"]\n  5 -> 42 [size =\"5875712\"]\n  5 -> 43 [size =\"5875712\"]\n  5 -> 45 [size =\"5875712\"]\n  6 [size=\"62655147\", alpha=\"0.14\", expect_size=\"18796544\"] \n  6 -> 38 [size =\"18796544\"]\n  7 [size=\"35263147\", alpha=\"0.19\", expect_size=\"10578944\"] \n  7 -> 33 [size =\"10578944\"]\n  7 -> 37 [size =\"10578944\"]\n  7 -> 42 [size =\"10578944\"]\n  7 -> 45 [size =\"10578944\"]\n  8 [size=\"138243413\", alpha=\"0.12\", expect_size=\"41473024\"] \n  8 -> 34 [size =\"41473024\"]\n  8 -> 35 [size =\"41473024\"]\n  8 -> 38 [size =\"41473024\"]\n  8 -> 41 [size =\"41473024\"]\n  8 -> 42 [size =\"41473024\"]\n  8 -> 44 [size =\"41473024\"]\n  9 [size=\"127771307\", alpha=\"0.12\", expect_size=\"38331392\"] \n  9 -> 33 [size =\"38331392\"]\n  9 -> 37 [size =\"38331392\"]\n  9 -> 42 [size =\"38331392\"]\n  10 [size=\"43038720\", alpha=\"0.05\", expect_size=\"12911616\"] \n  10 -> 33 [size =\"12911616\"]\n  10 -> 37 [size =\"12911616\"]\n  10 -> 38 [size =\"12911616\"]\n  10 -> 42 [size =\"12911616\"]\n  11 [size=\"130577067\", alpha=\"0.15\", expect_size=\"39173120\"] \n  11 -> 33 [size =\"39173120\"]\n  11 -> 35 [size =\"39173120\"]\n  11 -> 42 [size =\"39173120\"]\n  11 -> 44 [size =\"39173120\"]\n  12 [size=\"77554347\", alpha=\"0.17\", expect_size=\"23266304\"] \n  12 -> 33 [size =\"23266304\"]\n  12 -> 34 [size =\"23266304\"]\n  12 -> 42 [size =\"23266304\"]\n  12 -> 44 [size =\"23266304\"]\n  12 -> 45 [size =\"23266304\"]\n  13 [size=\"104147627\", alpha=\"0.05\", expect_size=\"31244288\"] \n  13 -> 33 [size =\"31244288\"]\n  13 -> 34 [size =\"31244288\"]\n  13 -> 35 [size =\"31244288\"]\n  13 -> 39 [size =\"31244288\"]\n  13 -> 42 [size =\"31244288\"]\n  13 -> 44 [size =\"31244288\"]\n  14 [size=\"155661653\", alpha=\"0.09\", expect_size=\"46698496\"] \n  14 -> 34 [size =\"46698496\"]\n  14 -> 35 [size =\"46698496\"]\n  14 -> 37 [size =\"46698496\"]\n  14 -> 38 [size =\"46698496\"]\n  14 -> 42 [size =\"46698496\"]\n  14 -> 43 [size =\"46698496\"]\n  14 -> 44 [size =\"46698496\"]\n  15 [size=\"111988053\", alpha=\"0.11\", expect_size=\"33596416\"] \n  15 -> 34 [size =\"33596416\"]\n  15 -> 35 [size =\"33596416\"]\n  15 -> 44 [size =\"33596416\"]\n  16 [size=\"130583893\", alpha=\"0.04\", expect_size=\"39175168\"] \n  16 -> 35 [size =\"39175168\"]\n  16 -> 35 [size =\"39175168\"]\n  16 -> 44 [size =\"39175168\"]\n  17 [size=\"86210560\", alpha=\"0.17\", expect_size=\"25863168\"] \n  17 -> 33 [size =\"25863168\"]\n  17 -> 35 [size =\"25863168\"]\n  17 -> 37 [size =\"25863168\"]\n  18 [size=\"81104213\", alpha=\"0.19\", expect_size=\"24331264\"] \n  18 -> 37 [size =\"24331264\"]\n  18 -> 40 [size =\"24331264\"]\n  18 -> 44 [size =\"24331264\"]\n  19 [size=\"19981653\", alpha=\"0.03\", expect_size=\"5994496\"] \n  19 -> 33 [size =\"5994496\"]\n  19 -> 34 [size =\"5994496\"]\n  19 -> 37 [size =\"5994496\"]\n  19 -> 39 [size =\"5994496\"]\n  19 -> 40 [size =\"5994496\"]\n  19 -> 44 [size =\"5994496\"]\n  19 -> 45 [size =\"5994496\"]\n  20 [size=\"115336533\", alpha=\"0.17\", expect_size=\"34600960\"] \n  20 -> 40 [size =\"34600960\"]\n  20 -> 44 [size =\"34600960\"]\n  21 [size=\"152036693\", alpha=\"0.17\", expect_size=\"45611008\"] \n  21 -> 37 [size =\"45611008\"]\n  21 -> 38 [size =\"45611008\"]\n  21 -> 40 [size =\"45611008\"]\n  22 [size=\"114097493\", alpha=\"0.12\", expect_size=\"34229248\"] \n  22 -> 33 [size =\"34229248\"]\n  22 -> 34 [size =\"34229248\"]\n  22 -> 35 [size =\"34229248\"]\n  22 -> 40 [size =\"34229248\"]\n  22 -> 42 [size =\"34229248\"]\n  22 -> 44 [size =\"34229248\"]\n  23 [size=\"89494187\", alpha=\"0.09\", expect_size=\"26848256\"] \n  23 -> 35 [size =\"26848256\"]\n  23 -> 38 [size =\"26848256\"]\n  23 -> 39 [size =\"26848256\"]\n  23 -> 40 [size =\"26848256\"]\n  24 [size=\"130761387\", alpha=\"0.01\", expect_size=\"39228416\"] \n  24 -> 35 [size =\"39228416\"]\n  24 -> 39 [size =\"39228416\"]\n  24 -> 40 [size =\"39228416\"]\n  24 -> 40 [size =\"39228416\"]\n  24 -> 42 [size =\"39228416\"]\n  24 -> 43 [size =\"39228416\"]\n  24 -> 44 [size =\"39228416\"]\n  25 [size=\"43564373\", alpha=\"0.13\", expect_size=\"13069312\"] \n  25 -> 35 [size =\"13069312\"]\n  25 -> 37 [size =\"13069312\"]\n  25 -> 38 [size =\"13069312\"]\n  25 -> 39 [size =\"13069312\"]\n  25 -> 40 [size =\"13069312\"]\n  25 -> 44 [size =\"13069312\"]\n  26 [size=\"126487893\", alpha=\"0.12\", expect_size=\"37946368\"] \n  26 -> 33 [size =\"37946368\"]\n  26 -> 35 [size =\"37946368\"]\n  26 -> 37 [size =\"37946368\"]\n  26 -> 42 [size =\"37946368\"]\n  26 -> 44 [size =\"37946368\"]\n  27 [size=\"155535360\", alpha=\"0.12\", expect_size=\"46660608\"] \n  27 -> 33 [size =\"46660608\"]\n  27 -> 34 [size =\"46660608\"]\n  27 -> 37 [size =\"46660608\"]\n  27 -> 42 [size =\"46660608\"]\n  28 [size=\"128986453\", alpha=\"0.08\", expect_size=\"38695936\"] \n  28 -> 38 [size =\"38695936\"]\n  28 -> 39 [size =\"38695936\"]\n  28 -> 42 [size =\"38695936\"]\n  28 -> 43 [size =\"38695936\"]\n  29 [size=\"124235093\", alpha=\"0.17\", expect_size=\"37270528\"] \n  29 -> 40 [size =\"37270528\"]\n  29 -> 42 [size =\"37270528\"]\n  29 -> 44 [size =\"37270528\"]\n  30 [size=\"148121600\", alpha=\"0.10\", expect_size=\"44436480\"] \n  30 -> 35 [size =\"44436480\"]\n  30 -> 42 [size =\"44436480\"]\n  30 -> 44 [size =\"44436480\"]\n  31 [size=\"126532267\", alpha=\"0.18\", expect_size=\"37959680\"] \n  31 -> 34 [size =\"37959680\"]\n  31 -> 35 [size =\"37959680\"]\n  31 -> 38 [size =\"37959680\"]\n  31 -> 39 [size =\"37959680\"]\n  31 -> 42 [size =\"37959680\"]\n  31 -> 44 [size =\"37959680\"]\n  32 [size=\"105837227\", alpha=\"0.13\", expect_size=\"31751168\"] \n  32 -> 33 [size =\"31751168\"]\n  32 -> 35 [size =\"31751168\"]\n  32 -> 38 [size =\"31751168\"]\n  32 -> 39 [size =\"31751168\"]\n  32 -> 42 [size =\"31751168\"]\n  32 -> 43 [size =\"31751168\"]\n  33 [size=\"44363093\", alpha=\"0.19\", expect_size=\"13308928\"] \n  34 [size=\"115210240\", alpha=\"0.03\", expect_size=\"34563072\"] \n  35 [size=\"123965440\", alpha=\"0.18\", expect_size=\"37189632\"] \n  36 [size=\"72738133\", alpha=\"0.08\", expect_size=\"21821440\"] \n  37 [size=\"163997013\", alpha=\"0.07\", expect_size=\"49199104\"] \n  38 [size=\"100959573\", alpha=\"0.14\", expect_size=\"30287872\"] \n  39 [size=\"161675947\", alpha=\"0.01\", expect_size=\"48502784\"] \n  40 [size=\"141878613\", alpha=\"0.01\", expect_size=\"42563584\"] \n  41 [size=\"67126613\", alpha=\"0.17\", expect_size=\"20137984\"] \n  42 [size=\"50524160\", alpha=\"0.06\", expect_size=\"15157248\"] \n  43 [size=\"152149333\", alpha=\"0.05\", expect_size=\"45644800\"] \n  44 [size=\"144104107\", alpha=\"0.17\", expect_size=\"43231232\"] \n  45 [size=\"164577280\", alpha=\"0.13\", expect_size=\"49373184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109150720\", alpha=\"0.13\", expect_size=\"43660288\"] \n  1 -> 2 [size =\"43660288\"]\n  2 [size=\"87503360\", alpha=\"0.13\", expect_size=\"35001344\"] \n  2 -> 3 [size =\"35001344\"]\n  3 [size=\"118051840\", alpha=\"0.01\", expect_size=\"47220736\"] \n  3 -> 4 [size =\"47220736\"]\n  4 [size=\"60454400\", alpha=\"0.12\", expect_size=\"24181760\"] \n  4 -> 5 [size =\"24181760\"]\n  5 [size=\"74977280\", alpha=\"0.08\", expect_size=\"29990912\"] \n  5 -> 6 [size =\"29990912\"]\n  6 [size=\"50600960\", alpha=\"0.11\", expect_size=\"20240384\"] \n  6 -> 7 [size =\"20240384\"]\n  7 [size=\"71485440\", alpha=\"0.17\", expect_size=\"28594176\"] \n  7 -> 8 [size =\"28594176\"]\n  8 [size=\"37178880\", alpha=\"0.19\", expect_size=\"14871552\"] \n  8 -> 9 [size =\"14871552\"]\n  9 [size=\"33600000\", alpha=\"0.03\", expect_size=\"13440000\"] \n  9 -> 10 [size =\"13440000\"]\n  10 [size=\"130063360\", alpha=\"0.07\", expect_size=\"52025344\"] \n  10 -> 11 [size =\"52025344\"]\n  11 [size=\"29253120\", alpha=\"0.11\", expect_size=\"11701248\"] \n  11 -> 12 [size =\"11701248\"]\n  12 [size=\"103447040\", alpha=\"0.15\", expect_size=\"41378816\"] \n  12 -> 13 [size =\"41378816\"]\n  13 [size=\"64855040\", alpha=\"0.05\", expect_size=\"25942016\"] \n  13 -> 14 [size =\"25942016\"]\n  14 [size=\"70584320\", alpha=\"0.06\", expect_size=\"28233728\"] \n  14 -> 15 [size =\"28233728\"]\n  15 [size=\"25917440\", alpha=\"0.09\", expect_size=\"10366976\"] \n  15 -> 16 [size =\"10366976\"]\n  16 [size=\"74941440\", alpha=\"0.01\", expect_size=\"29976576\"] \n  16 -> 17 [size =\"29976576\"]\n  17 [size=\"22289920\", alpha=\"0.10\", expect_size=\"8915968\"] \n  17 -> 18 [size =\"8915968\"]\n  18 [size=\"123427840\", alpha=\"0.19\", expect_size=\"49371136\"] \n  18 -> 19 [size =\"49371136\"]\n  19 [size=\"119610880\", alpha=\"0.02\", expect_size=\"47844352\"] \n  19 -> 20 [size =\"47844352\"]\n  20 [size=\"21199360\", alpha=\"0.02\", expect_size=\"8479744\"] \n  20 -> 21 [size =\"8479744\"]\n  21 [size=\"62389760\", alpha=\"0.18\", expect_size=\"24955904\"] \n  21 -> 22 [size =\"24955904\"]\n  22 [size=\"125235200\", alpha=\"0.07\", expect_size=\"50094080\"] \n  22 -> 23 [size =\"50094080\"]\n  23 [size=\"96852480\", alpha=\"0.14\", expect_size=\"38740992\"] \n  23 -> 24 [size =\"38740992\"]\n  24 [size=\"125168640\", alpha=\"0.08\", expect_size=\"50067456\"] \n  24 -> 25 [size =\"50067456\"]\n  25 [size=\"44628480\", alpha=\"0.14\", expect_size=\"17851392\"] \n  25 -> 26 [size =\"17851392\"]\n  26 [size=\"99617280\", alpha=\"0.05\", expect_size=\"39846912\"] \n  26 -> 27 [size =\"39846912\"]\n  27 [size=\"106270720\", alpha=\"0.06\", expect_size=\"42508288\"] \n  27 -> 28 [size =\"42508288\"]\n  28 [size=\"45857280\", alpha=\"0.12\", expect_size=\"18342912\"] \n  28 -> 29 [size =\"18342912\"]\n  29 [size=\"38435840\", alpha=\"0.01\", expect_size=\"15374336\"] \n  29 -> 30 [size =\"15374336\"]\n  30 [size=\"52072960\", alpha=\"0.10\", expect_size=\"20829184\"] \n  30 -> 31 [size =\"20829184\"]\n  31 [size=\"65198080\", alpha=\"0.01\", expect_size=\"26079232\"] \n  31 -> 32 [size =\"26079232\"]\n  32 [size=\"55895040\", alpha=\"0.08\", expect_size=\"22358016\"] \n  32 -> 33 [size =\"22358016\"]\n  33 [size=\"98554880\", alpha=\"0.03\", expect_size=\"39421952\"] \n  33 -> 34 [size =\"39421952\"]\n  34 [size=\"62197760\", alpha=\"0.09\", expect_size=\"24879104\"] \n  34 -> 35 [size =\"24879104\"]\n  35 [size=\"112135680\", alpha=\"0.16\", expect_size=\"44854272\"] \n  35 -> 36 [size =\"44854272\"]\n  36 [size=\"74309120\", alpha=\"0.14\", expect_size=\"29723648\"] \n  36 -> 37 [size =\"29723648\"]\n  37 [size=\"104181760\", alpha=\"0.14\", expect_size=\"41672704\"] \n  37 -> 38 [size =\"41672704\"]\n  38 [size=\"24204800\", alpha=\"0.12\", expect_size=\"9681920\"] \n  38 -> 39 [size =\"9681920\"]\n  39 [size=\"94376960\", alpha=\"0.08\", expect_size=\"37750784\"] \n  39 -> 40 [size =\"37750784\"]\n  40 [size=\"99266560\", alpha=\"0.06\", expect_size=\"39706624\"] \n  40 -> 41 [size =\"39706624\"]\n  41 [size=\"37862400\", alpha=\"0.12\", expect_size=\"15144960\"] \n  41 -> 42 [size =\"15144960\"]\n  42 [size=\"44280320\", alpha=\"0.17\", expect_size=\"17712128\"] \n  42 -> 43 [size =\"17712128\"]\n  43 [size=\"90892800\", alpha=\"0.16\", expect_size=\"36357120\"] \n  43 -> 44 [size =\"36357120\"]\n  44 [size=\"111485440\", alpha=\"0.15\", expect_size=\"44594176\"] \n  44 -> 45 [size =\"44594176\"]\n  45 [size=\"45570560\", alpha=\"0.18\", expect_size=\"18228224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36784128\", alpha=\"0.07\", expect_size=\"18392064\"] \n  2 [size=\"43067392\", alpha=\"0.02\", expect_size=\"21533696\"] \n  2 -> 9 [size =\"21533696\"]\n  3 [size=\"89262080\", alpha=\"0.16\", expect_size=\"44631040\"] \n  3 -> 8 [size =\"44631040\"]\n  3 -> 9 [size =\"44631040\"]\n  3 -> 11 [size =\"44631040\"]\n  4 [size=\"61609984\", alpha=\"0.13\", expect_size=\"30804992\"] \n  4 -> 9 [size =\"30804992\"]\n  4 -> 11 [size =\"30804992\"]\n  5 [size=\"22591488\", alpha=\"0.03\", expect_size=\"11295744\"] \n  5 -> 10 [size =\"11295744\"]\n  6 [size=\"88209408\", alpha=\"0.02\", expect_size=\"44104704\"] \n  6 -> 7 [size =\"44104704\"]\n  7 [size=\"26654720\", alpha=\"0.13\", expect_size=\"13327360\"] \n  7 -> 13 [size =\"13327360\"]\n  8 [size=\"31838208\", alpha=\"0.02\", expect_size=\"15919104\"] \n  9 [size=\"42342400\", alpha=\"0.04\", expect_size=\"21171200\"] \n  9 -> 12 [size =\"21171200\"]\n  10 [size=\"37302272\", alpha=\"0.13\", expect_size=\"18651136\"] \n  10 -> 13 [size =\"18651136\"]\n  10 -> 14 [size =\"18651136\"]\n  10 -> 15 [size =\"18651136\"]\n  11 [size=\"101070848\", alpha=\"0.11\", expect_size=\"50535424\"] \n  12 [size=\"39061504\", alpha=\"0.00\", expect_size=\"19530752\"] \n  13 [size=\"49168384\", alpha=\"0.14\", expect_size=\"24584192\"] \n  13 -> 16 [size =\"24584192\"]\n  13 -> 19 [size =\"24584192\"]\n  14 [size=\"29319168\", alpha=\"0.20\", expect_size=\"14659584\"] \n  14 -> 16 [size =\"14659584\"]\n  14 -> 17 [size =\"14659584\"]\n  14 -> 18 [size =\"14659584\"]\n  15 [size=\"89686016\", alpha=\"0.06\", expect_size=\"44843008\"] \n  15 -> 17 [size =\"44843008\"]\n  16 [size=\"10921984\", alpha=\"0.02\", expect_size=\"5460992\"] \n  16 -> 21 [size =\"5460992\"]\n  17 [size=\"18470912\", alpha=\"0.16\", expect_size=\"9235456\"] \n  17 -> 20 [size =\"9235456\"]\n  18 [size=\"78129152\", alpha=\"0.02\", expect_size=\"39064576\"] \n  18 -> 23 [size =\"39064576\"]\n  19 [size=\"87392256\", alpha=\"0.09\", expect_size=\"43696128\"] \n  19 -> 22 [size =\"43696128\"]\n  19 -> 23 [size =\"43696128\"]\n  20 [size=\"104402944\", alpha=\"0.05\", expect_size=\"52201472\"] \n  20 -> 24 [size =\"52201472\"]\n  20 -> 29 [size =\"52201472\"]\n  20 -> 30 [size =\"52201472\"]\n  21 [size=\"72771584\", alpha=\"0.08\", expect_size=\"36385792\"] \n  21 -> 24 [size =\"36385792\"]\n  21 -> 28 [size =\"36385792\"]\n  22 [size=\"29288448\", alpha=\"0.17\", expect_size=\"14644224\"] \n  23 [size=\"30109696\", alpha=\"0.02\", expect_size=\"15054848\"] \n  23 -> 25 [size =\"15054848\"]\n  23 -> 26 [size =\"15054848\"]\n  23 -> 27 [size =\"15054848\"]\n  24 [size=\"94713856\", alpha=\"0.19\", expect_size=\"47356928\"] \n  24 -> 31 [size =\"47356928\"]\n  24 -> 34 [size =\"47356928\"]\n  24 -> 35 [size =\"47356928\"]\n  25 [size=\"94656512\", alpha=\"0.18\", expect_size=\"47328256\"] \n  25 -> 31 [size =\"47328256\"]\n  25 -> 32 [size =\"47328256\"]\n  26 [size=\"28282880\", alpha=\"0.14\", expect_size=\"14141440\"] \n  26 -> 34 [size =\"14141440\"]\n  26 -> 35 [size =\"14141440\"]\n  27 [size=\"39297024\", alpha=\"0.13\", expect_size=\"19648512\"] \n  27 -> 32 [size =\"19648512\"]\n  28 [size=\"20924416\", alpha=\"0.16\", expect_size=\"10462208\"] \n  28 -> 31 [size =\"10462208\"]\n  28 -> 33 [size =\"10462208\"]\n  29 [size=\"28022784\", alpha=\"0.07\", expect_size=\"14011392\"] \n  29 -> 35 [size =\"14011392\"]\n  30 [size=\"69959680\", alpha=\"0.03\", expect_size=\"34979840\"] \n  31 [size=\"95780864\", alpha=\"0.18\", expect_size=\"47890432\"] \n  31 -> 38 [size =\"47890432\"]\n  31 -> 40 [size =\"47890432\"]\n  32 [size=\"37414912\", alpha=\"0.19\", expect_size=\"18707456\"] \n  32 -> 37 [size =\"18707456\"]\n  32 -> 40 [size =\"18707456\"]\n  33 [size=\"21815296\", alpha=\"0.09\", expect_size=\"10907648\"] \n  33 -> 36 [size =\"10907648\"]\n  33 -> 39 [size =\"10907648\"]\n  34 [size=\"33388544\", alpha=\"0.02\", expect_size=\"16694272\"] \n  35 [size=\"28889088\", alpha=\"0.13\", expect_size=\"14444544\"] \n  35 -> 36 [size =\"14444544\"]\n  36 [size=\"20424704\", alpha=\"0.03\", expect_size=\"10212352\"] \n  36 -> 41 [size =\"10212352\"]\n  36 -> 43 [size =\"10212352\"]\n  36 -> 45 [size =\"10212352\"]\n  37 [size=\"85716992\", alpha=\"0.15\", expect_size=\"42858496\"] \n  37 -> 43 [size =\"42858496\"]\n  37 -> 45 [size =\"42858496\"]\n  38 [size=\"52193280\", alpha=\"0.01\", expect_size=\"26096640\"] \n  38 -> 42 [size =\"26096640\"]\n  38 -> 44 [size =\"26096640\"]\n  39 [size=\"35581952\", alpha=\"0.04\", expect_size=\"17790976\"] \n  39 -> 42 [size =\"17790976\"]\n  39 -> 44 [size =\"17790976\"]\n  40 [size=\"67737600\", alpha=\"0.06\", expect_size=\"33868800\"] \n  40 -> 41 [size =\"33868800\"]\n  40 -> 42 [size =\"33868800\"]\n  40 -> 43 [size =\"33868800\"]\n  40 -> 44 [size =\"33868800\"]\n  41 [size=\"81106944\", alpha=\"0.02\", expect_size=\"40553472\"] \n  42 [size=\"71905280\", alpha=\"0.02\", expect_size=\"35952640\"] \n  43 [size=\"68704256\", alpha=\"0.06\", expect_size=\"34352128\"] \n  44 [size=\"15820800\", alpha=\"0.08\", expect_size=\"7910400\"] \n  45 [size=\"26456064\", alpha=\"0.07\", expect_size=\"13228032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18452480\", alpha=\"0.18\", expect_size=\"5535744\"] \n  1 -> 26 [size =\"5535744\"]\n  1 -> 29 [size =\"5535744\"]\n  1 -> 30 [size =\"5535744\"]\n  1 -> 36 [size =\"5535744\"]\n  1 -> 39 [size =\"5535744\"]\n  1 -> 44 [size =\"5535744\"]\n  2 [size=\"36273493\", alpha=\"0.17\", expect_size=\"10882048\"] \n  2 -> 26 [size =\"10882048\"]\n  2 -> 27 [size =\"10882048\"]\n  2 -> 30 [size =\"10882048\"]\n  2 -> 33 [size =\"10882048\"]\n  2 -> 41 [size =\"10882048\"]\n  2 -> 42 [size =\"10882048\"]\n  2 -> 43 [size =\"10882048\"]\n  2 -> 44 [size =\"10882048\"]\n  3 [size=\"68471467\", alpha=\"0.07\", expect_size=\"20541440\"] \n  3 -> 24 [size =\"20541440\"]\n  3 -> 25 [size =\"20541440\"]\n  3 -> 27 [size =\"20541440\"]\n  3 -> 29 [size =\"20541440\"]\n  3 -> 30 [size =\"20541440\"]\n  3 -> 42 [size =\"20541440\"]\n  3 -> 43 [size =\"20541440\"]\n  3 -> 44 [size =\"20541440\"]\n  4 [size=\"161204907\", alpha=\"0.19\", expect_size=\"48361472\"] \n  4 -> 30 [size =\"48361472\"]\n  4 -> 31 [size =\"48361472\"]\n  4 -> 37 [size =\"48361472\"]\n  4 -> 40 [size =\"48361472\"]\n  4 -> 42 [size =\"48361472\"]\n  4 -> 43 [size =\"48361472\"]\n  4 -> 43 [size =\"48361472\"]\n  4 -> 44 [size =\"48361472\"]\n  4 -> 45 [size =\"48361472\"]\n  5 [size=\"93433173\", alpha=\"0.17\", expect_size=\"28029952\"] \n  5 -> 23 [size =\"28029952\"]\n  5 -> 24 [size =\"28029952\"]\n  5 -> 25 [size =\"28029952\"]\n  5 -> 30 [size =\"28029952\"]\n  5 -> 41 [size =\"28029952\"]\n  5 -> 42 [size =\"28029952\"]\n  5 -> 43 [size =\"28029952\"]\n  6 [size=\"150913707\", alpha=\"0.17\", expect_size=\"45274112\"] \n  6 -> 23 [size =\"45274112\"]\n  6 -> 27 [size =\"45274112\"]\n  6 -> 30 [size =\"45274112\"]\n  6 -> 41 [size =\"45274112\"]\n  6 -> 43 [size =\"45274112\"]\n  6 -> 44 [size =\"45274112\"]\n  7 [size=\"81623040\", alpha=\"0.16\", expect_size=\"24486912\"] \n  7 -> 23 [size =\"24486912\"]\n  7 -> 26 [size =\"24486912\"]\n  7 -> 27 [size =\"24486912\"]\n  7 -> 30 [size =\"24486912\"]\n  7 -> 33 [size =\"24486912\"]\n  7 -> 41 [size =\"24486912\"]\n  7 -> 42 [size =\"24486912\"]\n  7 -> 43 [size =\"24486912\"]\n  8 [size=\"58231467\", alpha=\"0.01\", expect_size=\"17469440\"] \n  8 -> 24 [size =\"17469440\"]\n  8 -> 26 [size =\"17469440\"]\n  8 -> 33 [size =\"17469440\"]\n  8 -> 34 [size =\"17469440\"]\n  8 -> 37 [size =\"17469440\"]\n  8 -> 42 [size =\"17469440\"]\n  8 -> 42 [size =\"17469440\"]\n  9 [size=\"25176747\", alpha=\"0.20\", expect_size=\"7553024\"] \n  9 -> 24 [size =\"7553024\"]\n  9 -> 33 [size =\"7553024\"]\n  9 -> 34 [size =\"7553024\"]\n  9 -> 34 [size =\"7553024\"]\n  9 -> 40 [size =\"7553024\"]\n  9 -> 41 [size =\"7553024\"]\n  9 -> 42 [size =\"7553024\"]\n  9 -> 43 [size =\"7553024\"]\n  10 [size=\"163549867\", alpha=\"0.01\", expect_size=\"49064960\"] \n  10 -> 24 [size =\"49064960\"]\n  10 -> 35 [size =\"49064960\"]\n  10 -> 40 [size =\"49064960\"]\n  10 -> 42 [size =\"49064960\"]\n  10 -> 43 [size =\"49064960\"]\n  10 -> 45 [size =\"49064960\"]\n  11 [size=\"39529813\", alpha=\"0.07\", expect_size=\"11858944\"] \n  11 -> 24 [size =\"11858944\"]\n  11 -> 27 [size =\"11858944\"]\n  11 -> 30 [size =\"11858944\"]\n  11 -> 32 [size =\"11858944\"]\n  11 -> 36 [size =\"11858944\"]\n  11 -> 37 [size =\"11858944\"]\n  11 -> 44 [size =\"11858944\"]\n  12 [size=\"24135680\", alpha=\"0.18\", expect_size=\"7240704\"] \n  12 -> 25 [size =\"7240704\"]\n  12 -> 27 [size =\"7240704\"]\n  12 -> 30 [size =\"7240704\"]\n  12 -> 32 [size =\"7240704\"]\n  12 -> 34 [size =\"7240704\"]\n  12 -> 36 [size =\"7240704\"]\n  12 -> 37 [size =\"7240704\"]\n  12 -> 42 [size =\"7240704\"]\n  13 [size=\"158276267\", alpha=\"0.13\", expect_size=\"47482880\"] \n  13 -> 25 [size =\"47482880\"]\n  13 -> 27 [size =\"47482880\"]\n  13 -> 29 [size =\"47482880\"]\n  13 -> 36 [size =\"47482880\"]\n  13 -> 41 [size =\"47482880\"]\n  14 [size=\"59132587\", alpha=\"0.19\", expect_size=\"17739776\"] \n  14 -> 36 [size =\"17739776\"]\n  14 -> 42 [size =\"17739776\"]\n  14 -> 43 [size =\"17739776\"]\n  14 -> 44 [size =\"17739776\"]\n  15 [size=\"48817493\", alpha=\"0.07\", expect_size=\"14645248\"] \n  15 -> 25 [size =\"14645248\"]\n  15 -> 26 [size =\"14645248\"]\n  15 -> 29 [size =\"14645248\"]\n  15 -> 30 [size =\"14645248\"]\n  15 -> 36 [size =\"14645248\"]\n  15 -> 37 [size =\"14645248\"]\n  15 -> 45 [size =\"14645248\"]\n  16 [size=\"25289387\", alpha=\"0.16\", expect_size=\"7586816\"] \n  16 -> 24 [size =\"7586816\"]\n  16 -> 29 [size =\"7586816\"]\n  16 -> 30 [size =\"7586816\"]\n  16 -> 30 [size =\"7586816\"]\n  16 -> 33 [size =\"7586816\"]\n  16 -> 36 [size =\"7586816\"]\n  16 -> 41 [size =\"7586816\"]\n  17 [size=\"162426880\", alpha=\"0.13\", expect_size=\"48728064\"] \n  17 -> 25 [size =\"48728064\"]\n  17 -> 29 [size =\"48728064\"]\n  17 -> 41 [size =\"48728064\"]\n  18 [size=\"128826027\", alpha=\"0.14\", expect_size=\"38647808\"] \n  18 -> 24 [size =\"38647808\"]\n  18 -> 28 [size =\"38647808\"]\n  18 -> 30 [size =\"38647808\"]\n  18 -> 34 [size =\"38647808\"]\n  18 -> 37 [size =\"38647808\"]\n  18 -> 42 [size =\"38647808\"]\n  18 -> 44 [size =\"38647808\"]\n  19 [size=\"134673067\", alpha=\"0.04\", expect_size=\"40401920\"] \n  19 -> 24 [size =\"40401920\"]\n  19 -> 26 [size =\"40401920\"]\n  19 -> 29 [size =\"40401920\"]\n  19 -> 30 [size =\"40401920\"]\n  19 -> 33 [size =\"40401920\"]\n  19 -> 41 [size =\"40401920\"]\n  19 -> 43 [size =\"40401920\"]\n  20 [size=\"132464640\", alpha=\"0.07\", expect_size=\"39739392\"] \n  20 -> 27 [size =\"39739392\"]\n  20 -> 29 [size =\"39739392\"]\n  20 -> 34 [size =\"39739392\"]\n  20 -> 41 [size =\"39739392\"]\n  20 -> 43 [size =\"39739392\"]\n  21 [size=\"139939840\", alpha=\"0.11\", expect_size=\"41981952\"] \n  21 -> 25 [size =\"41981952\"]\n  21 -> 27 [size =\"41981952\"]\n  21 -> 33 [size =\"41981952\"]\n  21 -> 38 [size =\"41981952\"]\n  21 -> 43 [size =\"41981952\"]\n  22 [size=\"38396587\", alpha=\"0.17\", expect_size=\"11518976\"] \n  22 -> 24 [size =\"11518976\"]\n  22 -> 27 [size =\"11518976\"]\n  22 -> 39 [size =\"11518976\"]\n  22 -> 40 [size =\"11518976\"]\n  22 -> 44 [size =\"11518976\"]\n  23 [size=\"20196693\", alpha=\"0.09\", expect_size=\"6059008\"] \n  24 [size=\"121306453\", alpha=\"0.00\", expect_size=\"36391936\"] \n  25 [size=\"110677333\", alpha=\"0.01\", expect_size=\"33203200\"] \n  26 [size=\"166324907\", alpha=\"0.18\", expect_size=\"49897472\"] \n  27 [size=\"132611413\", alpha=\"0.04\", expect_size=\"39783424\"] \n  28 [size=\"77718187\", alpha=\"0.15\", expect_size=\"23315456\"] \n  29 [size=\"32143360\", alpha=\"0.07\", expect_size=\"9643008\"] \n  30 [size=\"60013227\", alpha=\"0.17\", expect_size=\"18003968\"] \n  31 [size=\"115964587\", alpha=\"0.10\", expect_size=\"34789376\"] \n  32 [size=\"43694080\", alpha=\"0.04\", expect_size=\"13108224\"] \n  33 [size=\"19285333\", alpha=\"0.16\", expect_size=\"5785600\"] \n  34 [size=\"93733547\", alpha=\"0.13\", expect_size=\"28120064\"] \n  35 [size=\"96201387\", alpha=\"0.14\", expect_size=\"28860416\"] \n  36 [size=\"102638933\", alpha=\"0.17\", expect_size=\"30791680\"] \n  37 [size=\"89207467\", alpha=\"0.17\", expect_size=\"26762240\"] \n  38 [size=\"120050347\", alpha=\"0.12\", expect_size=\"36015104\"] \n  39 [size=\"78643200\", alpha=\"0.02\", expect_size=\"23592960\"] \n  40 [size=\"129969493\", alpha=\"0.06\", expect_size=\"38990848\"] \n  41 [size=\"105536853\", alpha=\"0.06\", expect_size=\"31661056\"] \n  42 [size=\"27398827\", alpha=\"0.08\", expect_size=\"8219648\"] \n  43 [size=\"59504640\", alpha=\"0.11\", expect_size=\"17851392\"] \n  44 [size=\"28074667\", alpha=\"0.07\", expect_size=\"8422400\"] \n  45 [size=\"132061867\", alpha=\"0.15\", expect_size=\"39618560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36807680\", alpha=\"0.02\", expect_size=\"14723072\"] \n  1 -> 11 [size =\"14723072\"]\n  1 -> 14 [size =\"14723072\"]\n  1 -> 15 [size =\"14723072\"]\n  1 -> 16 [size =\"14723072\"]\n  1 -> 17 [size =\"14723072\"]\n  1 -> 19 [size =\"14723072\"]\n  1 -> 19 [size =\"14723072\"]\n  1 -> 22 [size =\"14723072\"]\n  1 -> 22 [size =\"14723072\"]\n  2 [size=\"99678720\", alpha=\"0.10\", expect_size=\"39871488\"] \n  2 -> 11 [size =\"39871488\"]\n  2 -> 14 [size =\"39871488\"]\n  2 -> 15 [size =\"39871488\"]\n  2 -> 16 [size =\"39871488\"]\n  2 -> 22 [size =\"39871488\"]\n  2 -> 23 [size =\"39871488\"]\n  3 [size=\"118466560\", alpha=\"0.20\", expect_size=\"47386624\"] \n  3 -> 11 [size =\"47386624\"]\n  3 -> 14 [size =\"47386624\"]\n  3 -> 16 [size =\"47386624\"]\n  3 -> 17 [size =\"47386624\"]\n  3 -> 19 [size =\"47386624\"]\n  3 -> 22 [size =\"47386624\"]\n  3 -> 23 [size =\"47386624\"]\n  4 [size=\"22983680\", alpha=\"0.16\", expect_size=\"9193472\"] \n  4 -> 11 [size =\"9193472\"]\n  4 -> 14 [size =\"9193472\"]\n  4 -> 16 [size =\"9193472\"]\n  4 -> 21 [size =\"9193472\"]\n  4 -> 22 [size =\"9193472\"]\n  4 -> 22 [size =\"9193472\"]\n  4 -> 23 [size =\"9193472\"]\n  5 [size=\"117862400\", alpha=\"0.10\", expect_size=\"47144960\"] \n  5 -> 11 [size =\"47144960\"]\n  5 -> 14 [size =\"47144960\"]\n  5 -> 15 [size =\"47144960\"]\n  5 -> 19 [size =\"47144960\"]\n  5 -> 20 [size =\"47144960\"]\n  5 -> 21 [size =\"47144960\"]\n  5 -> 22 [size =\"47144960\"]\n  6 [size=\"54246400\", alpha=\"0.05\", expect_size=\"21698560\"] \n  6 -> 11 [size =\"21698560\"]\n  6 -> 12 [size =\"21698560\"]\n  6 -> 13 [size =\"21698560\"]\n  6 -> 14 [size =\"21698560\"]\n  6 -> 15 [size =\"21698560\"]\n  6 -> 19 [size =\"21698560\"]\n  6 -> 20 [size =\"21698560\"]\n  6 -> 21 [size =\"21698560\"]\n  7 [size=\"117442560\", alpha=\"0.15\", expect_size=\"46977024\"] \n  7 -> 11 [size =\"46977024\"]\n  7 -> 13 [size =\"46977024\"]\n  7 -> 13 [size =\"46977024\"]\n  7 -> 14 [size =\"46977024\"]\n  7 -> 15 [size =\"46977024\"]\n  7 -> 18 [size =\"46977024\"]\n  7 -> 20 [size =\"46977024\"]\n  7 -> 21 [size =\"46977024\"]\n  8 [size=\"67696640\", alpha=\"0.11\", expect_size=\"27078656\"] \n  8 -> 13 [size =\"27078656\"]\n  8 -> 15 [size =\"27078656\"]\n  8 -> 21 [size =\"27078656\"]\n  9 [size=\"101447680\", alpha=\"0.10\", expect_size=\"40579072\"] \n  9 -> 12 [size =\"40579072\"]\n  9 -> 13 [size =\"40579072\"]\n  9 -> 15 [size =\"40579072\"]\n  9 -> 16 [size =\"40579072\"]\n  9 -> 21 [size =\"40579072\"]\n  9 -> 22 [size =\"40579072\"]\n  10 [size=\"117245440\", alpha=\"0.09\", expect_size=\"46898176\"] \n  10 -> 11 [size =\"46898176\"]\n  10 -> 12 [size =\"46898176\"]\n  10 -> 13 [size =\"46898176\"]\n  10 -> 14 [size =\"46898176\"]\n  10 -> 15 [size =\"46898176\"]\n  10 -> 18 [size =\"46898176\"]\n  10 -> 19 [size =\"46898176\"]\n  10 -> 20 [size =\"46898176\"]\n  10 -> 22 [size =\"46898176\"]\n  11 [size=\"89405440\", alpha=\"0.04\", expect_size=\"35762176\"] \n  11 -> 25 [size =\"35762176\"]\n  11 -> 26 [size =\"35762176\"]\n  11 -> 28 [size =\"35762176\"]\n  11 -> 29 [size =\"35762176\"]\n  11 -> 31 [size =\"35762176\"]\n  11 -> 33 [size =\"35762176\"]\n  11 -> 36 [size =\"35762176\"]\n  11 -> 38 [size =\"35762176\"]\n  12 [size=\"102287360\", alpha=\"0.09\", expect_size=\"40914944\"] \n  12 -> 26 [size =\"40914944\"]\n  12 -> 27 [size =\"40914944\"]\n  12 -> 28 [size =\"40914944\"]\n  12 -> 29 [size =\"40914944\"]\n  12 -> 33 [size =\"40914944\"]\n  12 -> 37 [size =\"40914944\"]\n  12 -> 38 [size =\"40914944\"]\n  13 [size=\"44285440\", alpha=\"0.17\", expect_size=\"17714176\"] \n  13 -> 26 [size =\"17714176\"]\n  13 -> 28 [size =\"17714176\"]\n  13 -> 29 [size =\"17714176\"]\n  13 -> 29 [size =\"17714176\"]\n  13 -> 31 [size =\"17714176\"]\n  13 -> 33 [size =\"17714176\"]\n  13 -> 36 [size =\"17714176\"]\n  13 -> 37 [size =\"17714176\"]\n  13 -> 38 [size =\"17714176\"]\n  13 -> 39 [size =\"17714176\"]\n  14 [size=\"42949120\", alpha=\"0.06\", expect_size=\"17179648\"] \n  14 -> 26 [size =\"17179648\"]\n  14 -> 28 [size =\"17179648\"]\n  14 -> 29 [size =\"17179648\"]\n  14 -> 31 [size =\"17179648\"]\n  14 -> 31 [size =\"17179648\"]\n  14 -> 33 [size =\"17179648\"]\n  14 -> 34 [size =\"17179648\"]\n  14 -> 35 [size =\"17179648\"]\n  14 -> 37 [size =\"17179648\"]\n  14 -> 38 [size =\"17179648\"]\n  14 -> 39 [size =\"17179648\"]\n  15 [size=\"18731520\", alpha=\"0.09\", expect_size=\"7492608\"] \n  15 -> 24 [size =\"7492608\"]\n  15 -> 26 [size =\"7492608\"]\n  15 -> 32 [size =\"7492608\"]\n  15 -> 36 [size =\"7492608\"]\n  15 -> 37 [size =\"7492608\"]\n  15 -> 39 [size =\"7492608\"]\n  16 [size=\"78343680\", alpha=\"0.01\", expect_size=\"31337472\"] \n  16 -> 25 [size =\"31337472\"]\n  16 -> 29 [size =\"31337472\"]\n  16 -> 33 [size =\"31337472\"]\n  16 -> 37 [size =\"31337472\"]\n  16 -> 37 [size =\"31337472\"]\n  16 -> 39 [size =\"31337472\"]\n  16 -> 40 [size =\"31337472\"]\n  17 [size=\"110315520\", alpha=\"0.18\", expect_size=\"44126208\"] \n  17 -> 25 [size =\"44126208\"]\n  17 -> 26 [size =\"44126208\"]\n  17 -> 27 [size =\"44126208\"]\n  17 -> 29 [size =\"44126208\"]\n  17 -> 31 [size =\"44126208\"]\n  17 -> 34 [size =\"44126208\"]\n  17 -> 37 [size =\"44126208\"]\n  17 -> 39 [size =\"44126208\"]\n  17 -> 40 [size =\"44126208\"]\n  18 [size=\"79662080\", alpha=\"0.12\", expect_size=\"31864832\"] \n  18 -> 27 [size =\"31864832\"]\n  18 -> 29 [size =\"31864832\"]\n  18 -> 31 [size =\"31864832\"]\n  18 -> 33 [size =\"31864832\"]\n  18 -> 37 [size =\"31864832\"]\n  18 -> 39 [size =\"31864832\"]\n  19 [size=\"25917440\", alpha=\"0.09\", expect_size=\"10366976\"] \n  19 -> 25 [size =\"10366976\"]\n  19 -> 26 [size =\"10366976\"]\n  19 -> 31 [size =\"10366976\"]\n  19 -> 32 [size =\"10366976\"]\n  19 -> 33 [size =\"10366976\"]\n  19 -> 37 [size =\"10366976\"]\n  19 -> 38 [size =\"10366976\"]\n  19 -> 39 [size =\"10366976\"]\n  20 [size=\"86812160\", alpha=\"0.15\", expect_size=\"34724864\"] \n  20 -> 26 [size =\"34724864\"]\n  20 -> 27 [size =\"34724864\"]\n  20 -> 29 [size =\"34724864\"]\n  20 -> 30 [size =\"34724864\"]\n  20 -> 31 [size =\"34724864\"]\n  20 -> 32 [size =\"34724864\"]\n  20 -> 33 [size =\"34724864\"]\n  20 -> 37 [size =\"34724864\"]\n  20 -> 38 [size =\"34724864\"]\n  20 -> 39 [size =\"34724864\"]\n  20 -> 40 [size =\"34724864\"]\n  21 [size=\"19415040\", alpha=\"0.05\", expect_size=\"7766016\"] \n  21 -> 25 [size =\"7766016\"]\n  21 -> 26 [size =\"7766016\"]\n  21 -> 30 [size =\"7766016\"]\n  21 -> 31 [size =\"7766016\"]\n  21 -> 31 [size =\"7766016\"]\n  21 -> 32 [size =\"7766016\"]\n  21 -> 33 [size =\"7766016\"]\n  21 -> 34 [size =\"7766016\"]\n  21 -> 36 [size =\"7766016\"]\n  21 -> 39 [size =\"7766016\"]\n  21 -> 40 [size =\"7766016\"]\n  22 [size=\"44026880\", alpha=\"0.10\", expect_size=\"17610752\"] \n  22 -> 24 [size =\"17610752\"]\n  22 -> 25 [size =\"17610752\"]\n  22 -> 29 [size =\"17610752\"]\n  22 -> 30 [size =\"17610752\"]\n  22 -> 31 [size =\"17610752\"]\n  22 -> 32 [size =\"17610752\"]\n  22 -> 33 [size =\"17610752\"]\n  22 -> 40 [size =\"17610752\"]\n  23 [size=\"96739840\", alpha=\"0.13\", expect_size=\"38695936\"] \n  23 -> 24 [size =\"38695936\"]\n  23 -> 26 [size =\"38695936\"]\n  23 -> 27 [size =\"38695936\"]\n  23 -> 28 [size =\"38695936\"]\n  23 -> 29 [size =\"38695936\"]\n  23 -> 33 [size =\"38695936\"]\n  23 -> 34 [size =\"38695936\"]\n  23 -> 36 [size =\"38695936\"]\n  24 [size=\"78261760\", alpha=\"0.17\", expect_size=\"31304704\"] \n  24 -> 42 [size =\"31304704\"]\n  24 -> 44 [size =\"31304704\"]\n  25 [size=\"113349120\", alpha=\"0.19\", expect_size=\"45339648\"] \n  25 -> 41 [size =\"45339648\"]\n  25 -> 42 [size =\"45339648\"]\n  25 -> 45 [size =\"45339648\"]\n  26 [size=\"46594560\", alpha=\"0.08\", expect_size=\"18637824\"] \n  26 -> 41 [size =\"18637824\"]\n  26 -> 45 [size =\"18637824\"]\n  26 -> 45 [size =\"18637824\"]\n  27 [size=\"52904960\", alpha=\"0.15\", expect_size=\"21161984\"] \n  27 -> 42 [size =\"21161984\"]\n  27 -> 45 [size =\"21161984\"]\n  28 [size=\"43353600\", alpha=\"0.11\", expect_size=\"17341440\"] \n  28 -> 41 [size =\"17341440\"]\n  28 -> 42 [size =\"17341440\"]\n  28 -> 44 [size =\"17341440\"]\n  28 -> 45 [size =\"17341440\"]\n  29 [size=\"112796160\", alpha=\"0.02\", expect_size=\"45118464\"] \n  29 -> 41 [size =\"45118464\"]\n  29 -> 42 [size =\"45118464\"]\n  29 -> 45 [size =\"45118464\"]\n  29 -> 45 [size =\"45118464\"]\n  30 [size=\"47700480\", alpha=\"0.11\", expect_size=\"19080192\"] \n  30 -> 42 [size =\"19080192\"]\n  30 -> 42 [size =\"19080192\"]\n  30 -> 44 [size =\"19080192\"]\n  31 [size=\"18882560\", alpha=\"0.13\", expect_size=\"7553024\"] \n  31 -> 41 [size =\"7553024\"]\n  31 -> 45 [size =\"7553024\"]\n  32 [size=\"50048000\", alpha=\"0.09\", expect_size=\"20019200\"] \n  32 -> 42 [size =\"20019200\"]\n  33 [size=\"109800960\", alpha=\"0.12\", expect_size=\"43920384\"] \n  33 -> 42 [size =\"43920384\"]\n  33 -> 44 [size =\"43920384\"]\n  34 [size=\"67576320\", alpha=\"0.19\", expect_size=\"27030528\"] \n  34 -> 42 [size =\"27030528\"]\n  34 -> 44 [size =\"27030528\"]\n  34 -> 45 [size =\"27030528\"]\n  35 [size=\"51215360\", alpha=\"0.07\", expect_size=\"20486144\"] \n  35 -> 41 [size =\"20486144\"]\n  35 -> 42 [size =\"20486144\"]\n  35 -> 45 [size =\"20486144\"]\n  36 [size=\"47508480\", alpha=\"0.06\", expect_size=\"19003392\"] \n  36 -> 41 [size =\"19003392\"]\n  36 -> 42 [size =\"19003392\"]\n  36 -> 43 [size =\"19003392\"]\n  37 [size=\"97597440\", alpha=\"0.01\", expect_size=\"39038976\"] \n  37 -> 41 [size =\"39038976\"]\n  37 -> 42 [size =\"39038976\"]\n  38 [size=\"69885440\", alpha=\"0.08\", expect_size=\"27954176\"] \n  38 -> 41 [size =\"27954176\"]\n  38 -> 42 [size =\"27954176\"]\n  38 -> 44 [size =\"27954176\"]\n  38 -> 45 [size =\"27954176\"]\n  39 [size=\"18967040\", alpha=\"0.17\", expect_size=\"7586816\"] \n  39 -> 41 [size =\"7586816\"]\n  39 -> 44 [size =\"7586816\"]\n  39 -> 45 [size =\"7586816\"]\n  40 [size=\"33180160\", alpha=\"0.19\", expect_size=\"13272064\"] \n  40 -> 41 [size =\"13272064\"]\n  40 -> 42 [size =\"13272064\"]\n  40 -> 44 [size =\"13272064\"]\n  40 -> 45 [size =\"13272064\"]\n  41 [size=\"98703360\", alpha=\"0.02\", expect_size=\"39481344\"] \n  42 [size=\"55900160\", alpha=\"0.09\", expect_size=\"22360064\"] \n  43 [size=\"111918080\", alpha=\"0.11\", expect_size=\"44767232\"] \n  44 [size=\"62013440\", alpha=\"0.04\", expect_size=\"24805376\"] \n  45 [size=\"53987840\", alpha=\"0.15\", expect_size=\"21595136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85490347\", alpha=\"0.17\", expect_size=\"25647104\"] \n  1 -> 35 [size =\"25647104\"]\n  1 -> 35 [size =\"25647104\"]\n  1 -> 37 [size =\"25647104\"]\n  1 -> 39 [size =\"25647104\"]\n  1 -> 40 [size =\"25647104\"]\n  1 -> 42 [size =\"25647104\"]\n  1 -> 44 [size =\"25647104\"]\n  2 [size=\"157771093\", alpha=\"0.04\", expect_size=\"47331328\"] \n  2 -> 32 [size =\"47331328\"]\n  2 -> 33 [size =\"47331328\"]\n  2 -> 37 [size =\"47331328\"]\n  2 -> 39 [size =\"47331328\"]\n  2 -> 40 [size =\"47331328\"]\n  2 -> 42 [size =\"47331328\"]\n  2 -> 44 [size =\"47331328\"]\n  3 [size=\"60719787\", alpha=\"0.09\", expect_size=\"18215936\"] \n  3 -> 31 [size =\"18215936\"]\n  3 -> 32 [size =\"18215936\"]\n  3 -> 37 [size =\"18215936\"]\n  3 -> 39 [size =\"18215936\"]\n  3 -> 42 [size =\"18215936\"]\n  3 -> 44 [size =\"18215936\"]\n  4 [size=\"130208427\", alpha=\"0.07\", expect_size=\"39062528\"] \n  4 -> 35 [size =\"39062528\"]\n  4 -> 37 [size =\"39062528\"]\n  4 -> 37 [size =\"39062528\"]\n  4 -> 43 [size =\"39062528\"]\n  4 -> 44 [size =\"39062528\"]\n  5 [size=\"84247893\", alpha=\"0.06\", expect_size=\"25274368\"] \n  5 -> 28 [size =\"25274368\"]\n  5 -> 31 [size =\"25274368\"]\n  5 -> 32 [size =\"25274368\"]\n  5 -> 37 [size =\"25274368\"]\n  5 -> 39 [size =\"25274368\"]\n  5 -> 40 [size =\"25274368\"]\n  5 -> 41 [size =\"25274368\"]\n  5 -> 42 [size =\"25274368\"]\n  5 -> 44 [size =\"25274368\"]\n  6 [size=\"91767467\", alpha=\"0.03\", expect_size=\"27530240\"] \n  6 -> 28 [size =\"27530240\"]\n  6 -> 31 [size =\"27530240\"]\n  6 -> 37 [size =\"27530240\"]\n  6 -> 39 [size =\"27530240\"]\n  6 -> 40 [size =\"27530240\"]\n  6 -> 41 [size =\"27530240\"]\n  6 -> 43 [size =\"27530240\"]\n  7 [size=\"174373547\", alpha=\"0.18\", expect_size=\"52312064\"] \n  7 -> 31 [size =\"52312064\"]\n  7 -> 35 [size =\"52312064\"]\n  7 -> 39 [size =\"52312064\"]\n  7 -> 40 [size =\"52312064\"]\n  7 -> 43 [size =\"52312064\"]\n  8 [size=\"55193600\", alpha=\"0.07\", expect_size=\"16558080\"] \n  8 -> 32 [size =\"16558080\"]\n  8 -> 37 [size =\"16558080\"]\n  8 -> 39 [size =\"16558080\"]\n  8 -> 45 [size =\"16558080\"]\n  9 [size=\"55162880\", alpha=\"0.15\", expect_size=\"16548864\"] \n  9 -> 28 [size =\"16548864\"]\n  9 -> 33 [size =\"16548864\"]\n  9 -> 35 [size =\"16548864\"]\n  9 -> 37 [size =\"16548864\"]\n  9 -> 39 [size =\"16548864\"]\n  9 -> 40 [size =\"16548864\"]\n  9 -> 42 [size =\"16548864\"]\n  9 -> 43 [size =\"16548864\"]\n  10 [size=\"167304533\", alpha=\"0.03\", expect_size=\"50191360\"] \n  10 -> 28 [size =\"50191360\"]\n  10 -> 31 [size =\"50191360\"]\n  10 -> 35 [size =\"50191360\"]\n  10 -> 39 [size =\"50191360\"]\n  10 -> 39 [size =\"50191360\"]\n  10 -> 41 [size =\"50191360\"]\n  11 [size=\"91252053\", alpha=\"0.00\", expect_size=\"27375616\"] \n  11 -> 31 [size =\"27375616\"]\n  11 -> 33 [size =\"27375616\"]\n  11 -> 35 [size =\"27375616\"]\n  11 -> 41 [size =\"27375616\"]\n  11 -> 42 [size =\"27375616\"]\n  11 -> 44 [size =\"27375616\"]\n  12 [size=\"71505920\", alpha=\"0.09\", expect_size=\"21451776\"] \n  12 -> 28 [size =\"21451776\"]\n  12 -> 31 [size =\"21451776\"]\n  12 -> 35 [size =\"21451776\"]\n  12 -> 37 [size =\"21451776\"]\n  12 -> 38 [size =\"21451776\"]\n  12 -> 41 [size =\"21451776\"]\n  12 -> 45 [size =\"21451776\"]\n  13 [size=\"104983893\", alpha=\"0.18\", expect_size=\"31495168\"] \n  13 -> 28 [size =\"31495168\"]\n  13 -> 34 [size =\"31495168\"]\n  13 -> 35 [size =\"31495168\"]\n  13 -> 37 [size =\"31495168\"]\n  13 -> 39 [size =\"31495168\"]\n  13 -> 41 [size =\"31495168\"]\n  14 [size=\"17670827\", alpha=\"0.18\", expect_size=\"5301248\"] \n  14 -> 30 [size =\"5301248\"]\n  14 -> 31 [size =\"5301248\"]\n  14 -> 35 [size =\"5301248\"]\n  14 -> 37 [size =\"5301248\"]\n  14 -> 41 [size =\"5301248\"]\n  14 -> 41 [size =\"5301248\"]\n  14 -> 43 [size =\"5301248\"]\n  14 -> 44 [size =\"5301248\"]\n  15 [size=\"72359253\", alpha=\"0.20\", expect_size=\"21707776\"] \n  15 -> 28 [size =\"21707776\"]\n  15 -> 29 [size =\"21707776\"]\n  15 -> 30 [size =\"21707776\"]\n  15 -> 31 [size =\"21707776\"]\n  15 -> 32 [size =\"21707776\"]\n  15 -> 35 [size =\"21707776\"]\n  15 -> 37 [size =\"21707776\"]\n  15 -> 39 [size =\"21707776\"]\n  15 -> 40 [size =\"21707776\"]\n  15 -> 41 [size =\"21707776\"]\n  15 -> 44 [size =\"21707776\"]\n  16 [size=\"119876267\", alpha=\"0.19\", expect_size=\"35962880\"] \n  16 -> 28 [size =\"35962880\"]\n  16 -> 35 [size =\"35962880\"]\n  16 -> 37 [size =\"35962880\"]\n  16 -> 39 [size =\"35962880\"]\n  16 -> 41 [size =\"35962880\"]\n  16 -> 44 [size =\"35962880\"]\n  17 [size=\"145861973\", alpha=\"0.16\", expect_size=\"43758592\"] \n  17 -> 28 [size =\"43758592\"]\n  17 -> 30 [size =\"43758592\"]\n  17 -> 31 [size =\"43758592\"]\n  17 -> 37 [size =\"43758592\"]\n  17 -> 39 [size =\"43758592\"]\n  17 -> 40 [size =\"43758592\"]\n  17 -> 41 [size =\"43758592\"]\n  17 -> 44 [size =\"43758592\"]\n  18 [size=\"131297280\", alpha=\"0.04\", expect_size=\"39389184\"] \n  18 -> 28 [size =\"39389184\"]\n  18 -> 32 [size =\"39389184\"]\n  18 -> 35 [size =\"39389184\"]\n  18 -> 40 [size =\"39389184\"]\n  18 -> 41 [size =\"39389184\"]\n  18 -> 44 [size =\"39389184\"]\n  19 [size=\"32238933\", alpha=\"0.05\", expect_size=\"9671680\"] \n  19 -> 29 [size =\"9671680\"]\n  19 -> 32 [size =\"9671680\"]\n  19 -> 33 [size =\"9671680\"]\n  19 -> 34 [size =\"9671680\"]\n  19 -> 37 [size =\"9671680\"]\n  19 -> 41 [size =\"9671680\"]\n  19 -> 44 [size =\"9671680\"]\n  20 [size=\"146278400\", alpha=\"0.17\", expect_size=\"43883520\"] \n  20 -> 36 [size =\"43883520\"]\n  20 -> 40 [size =\"43883520\"]\n  20 -> 41 [size =\"43883520\"]\n  20 -> 43 [size =\"43883520\"]\n  20 -> 44 [size =\"43883520\"]\n  21 [size=\"170513067\", alpha=\"0.19\", expect_size=\"51153920\"] \n  21 -> 29 [size =\"51153920\"]\n  21 -> 31 [size =\"51153920\"]\n  21 -> 33 [size =\"51153920\"]\n  21 -> 37 [size =\"51153920\"]\n  21 -> 39 [size =\"51153920\"]\n  21 -> 40 [size =\"51153920\"]\n  21 -> 41 [size =\"51153920\"]\n  21 -> 43 [size =\"51153920\"]\n  22 [size=\"174097067\", alpha=\"0.18\", expect_size=\"52229120\"] \n  22 -> 31 [size =\"52229120\"]\n  22 -> 32 [size =\"52229120\"]\n  22 -> 39 [size =\"52229120\"]\n  22 -> 40 [size =\"52229120\"]\n  22 -> 41 [size =\"52229120\"]\n  22 -> 42 [size =\"52229120\"]\n  22 -> 45 [size =\"52229120\"]\n  23 [size=\"86401707\", alpha=\"0.02\", expect_size=\"25920512\"] \n  23 -> 35 [size =\"25920512\"]\n  23 -> 37 [size =\"25920512\"]\n  23 -> 39 [size =\"25920512\"]\n  23 -> 44 [size =\"25920512\"]\n  23 -> 45 [size =\"25920512\"]\n  24 [size=\"67672747\", alpha=\"0.01\", expect_size=\"20301824\"] \n  24 -> 30 [size =\"20301824\"]\n  24 -> 35 [size =\"20301824\"]\n  24 -> 39 [size =\"20301824\"]\n  25 [size=\"49561600\", alpha=\"0.09\", expect_size=\"14868480\"] \n  25 -> 31 [size =\"14868480\"]\n  25 -> 35 [size =\"14868480\"]\n  25 -> 39 [size =\"14868480\"]\n  25 -> 40 [size =\"14868480\"]\n  25 -> 41 [size =\"14868480\"]\n  25 -> 43 [size =\"14868480\"]\n  26 [size=\"47786667\", alpha=\"0.05\", expect_size=\"14336000\"] \n  26 -> 30 [size =\"14336000\"]\n  26 -> 32 [size =\"14336000\"]\n  26 -> 33 [size =\"14336000\"]\n  26 -> 35 [size =\"14336000\"]\n  26 -> 42 [size =\"14336000\"]\n  27 [size=\"43714560\", alpha=\"0.02\", expect_size=\"13114368\"] \n  27 -> 31 [size =\"13114368\"]\n  27 -> 35 [size =\"13114368\"]\n  27 -> 40 [size =\"13114368\"]\n  27 -> 43 [size =\"13114368\"]\n  28 [size=\"167007573\", alpha=\"0.04\", expect_size=\"50102272\"] \n  29 [size=\"40198827\", alpha=\"0.10\", expect_size=\"12059648\"] \n  30 [size=\"78336000\", alpha=\"0.16\", expect_size=\"23500800\"] \n  31 [size=\"58115413\", alpha=\"0.10\", expect_size=\"17434624\"] \n  32 [size=\"47557973\", alpha=\"0.12\", expect_size=\"14267392\"] \n  33 [size=\"29668693\", alpha=\"0.05\", expect_size=\"8900608\"] \n  34 [size=\"47694507\", alpha=\"0.18\", expect_size=\"14308352\"] \n  35 [size=\"57088000\", alpha=\"0.18\", expect_size=\"17126400\"] \n  36 [size=\"124617387\", alpha=\"0.10\", expect_size=\"37385216\"] \n  37 [size=\"167290880\", alpha=\"0.20\", expect_size=\"50187264\"] \n  38 [size=\"27436373\", alpha=\"0.03\", expect_size=\"8230912\"] \n  39 [size=\"57340587\", alpha=\"0.09\", expect_size=\"17202176\"] \n  40 [size=\"137403733\", alpha=\"0.11\", expect_size=\"41221120\"] \n  41 [size=\"102888107\", alpha=\"0.12\", expect_size=\"30866432\"] \n  42 [size=\"27562667\", alpha=\"0.13\", expect_size=\"8268800\"] \n  43 [size=\"122753707\", alpha=\"0.03\", expect_size=\"36826112\"] \n  44 [size=\"161392640\", alpha=\"0.20\", expect_size=\"48417792\"] \n  45 [size=\"143680853\", alpha=\"0.00\", expect_size=\"43104256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32790528\", alpha=\"0.03\", expect_size=\"16395264\"] \n  1 -> 21 [size =\"16395264\"]\n  1 -> 24 [size =\"16395264\"]\n  2 [size=\"38395904\", alpha=\"0.02\", expect_size=\"19197952\"] \n  2 -> 23 [size =\"19197952\"]\n  2 -> 24 [size =\"19197952\"]\n  2 -> 28 [size =\"19197952\"]\n  3 [size=\"53471232\", alpha=\"0.16\", expect_size=\"26735616\"] \n  3 -> 15 [size =\"26735616\"]\n  3 -> 21 [size =\"26735616\"]\n  3 -> 26 [size =\"26735616\"]\n  3 -> 28 [size =\"26735616\"]\n  4 [size=\"99340288\", alpha=\"0.10\", expect_size=\"49670144\"] \n  4 -> 21 [size =\"49670144\"]\n  4 -> 22 [size =\"49670144\"]\n  4 -> 23 [size =\"49670144\"]\n  4 -> 24 [size =\"49670144\"]\n  4 -> 25 [size =\"49670144\"]\n  5 [size=\"25006080\", alpha=\"0.07\", expect_size=\"12503040\"] \n  5 -> 15 [size =\"12503040\"]\n  5 -> 20 [size =\"12503040\"]\n  5 -> 21 [size =\"12503040\"]\n  5 -> 23 [size =\"12503040\"]\n  5 -> 24 [size =\"12503040\"]\n  5 -> 25 [size =\"12503040\"]\n  5 -> 26 [size =\"12503040\"]\n  6 [size=\"102531072\", alpha=\"0.18\", expect_size=\"51265536\"] \n  6 -> 17 [size =\"51265536\"]\n  6 -> 18 [size =\"51265536\"]\n  6 -> 19 [size =\"51265536\"]\n  6 -> 20 [size =\"51265536\"]\n  6 -> 21 [size =\"51265536\"]\n  6 -> 22 [size =\"51265536\"]\n  6 -> 26 [size =\"51265536\"]\n  7 [size=\"38498304\", alpha=\"0.17\", expect_size=\"19249152\"] \n  7 -> 19 [size =\"19249152\"]\n  7 -> 21 [size =\"19249152\"]\n  7 -> 25 [size =\"19249152\"]\n  7 -> 28 [size =\"19249152\"]\n  8 [size=\"86865920\", alpha=\"0.08\", expect_size=\"43432960\"] \n  8 -> 17 [size =\"43432960\"]\n  8 -> 23 [size =\"43432960\"]\n  8 -> 28 [size =\"43432960\"]\n  9 [size=\"94146560\", alpha=\"0.16\", expect_size=\"47073280\"] \n  9 -> 15 [size =\"47073280\"]\n  9 -> 20 [size =\"47073280\"]\n  9 -> 24 [size =\"47073280\"]\n  9 -> 28 [size =\"47073280\"]\n  10 [size=\"60227584\", alpha=\"0.17\", expect_size=\"30113792\"] \n  10 -> 15 [size =\"30113792\"]\n  10 -> 16 [size =\"30113792\"]\n  10 -> 24 [size =\"30113792\"]\n  10 -> 26 [size =\"30113792\"]\n  10 -> 27 [size =\"30113792\"]\n  11 [size=\"60454912\", alpha=\"0.03\", expect_size=\"30227456\"] \n  11 -> 16 [size =\"30227456\"]\n  11 -> 20 [size =\"30227456\"]\n  11 -> 23 [size =\"30227456\"]\n  11 -> 26 [size =\"30227456\"]\n  11 -> 28 [size =\"30227456\"]\n  12 [size=\"73064448\", alpha=\"0.01\", expect_size=\"36532224\"] \n  12 -> 16 [size =\"36532224\"]\n  12 -> 17 [size =\"36532224\"]\n  12 -> 21 [size =\"36532224\"]\n  12 -> 24 [size =\"36532224\"]\n  12 -> 28 [size =\"36532224\"]\n  13 [size=\"82290688\", alpha=\"0.01\", expect_size=\"41145344\"] \n  13 -> 20 [size =\"41145344\"]\n  13 -> 24 [size =\"41145344\"]\n  14 [size=\"62853120\", alpha=\"0.19\", expect_size=\"31426560\"] \n  14 -> 17 [size =\"31426560\"]\n  14 -> 18 [size =\"31426560\"]\n  14 -> 19 [size =\"31426560\"]\n  14 -> 20 [size =\"31426560\"]\n  14 -> 22 [size =\"31426560\"]\n  14 -> 25 [size =\"31426560\"]\n  14 -> 28 [size =\"31426560\"]\n  15 [size=\"16394240\", alpha=\"0.09\", expect_size=\"8197120\"] \n  15 -> 29 [size =\"8197120\"]\n  15 -> 32 [size =\"8197120\"]\n  15 -> 35 [size =\"8197120\"]\n  15 -> 37 [size =\"8197120\"]\n  16 [size=\"49698816\", alpha=\"0.11\", expect_size=\"24849408\"] \n  16 -> 32 [size =\"24849408\"]\n  16 -> 33 [size =\"24849408\"]\n  16 -> 34 [size =\"24849408\"]\n  16 -> 36 [size =\"24849408\"]\n  16 -> 39 [size =\"24849408\"]\n  17 [size=\"39790592\", alpha=\"0.10\", expect_size=\"19895296\"] \n  17 -> 29 [size =\"19895296\"]\n  17 -> 34 [size =\"19895296\"]\n  17 -> 39 [size =\"19895296\"]\n  18 [size=\"24762368\", alpha=\"0.03\", expect_size=\"12381184\"] \n  18 -> 35 [size =\"12381184\"]\n  18 -> 36 [size =\"12381184\"]\n  18 -> 37 [size =\"12381184\"]\n  18 -> 38 [size =\"12381184\"]\n  19 [size=\"62994432\", alpha=\"0.14\", expect_size=\"31497216\"] \n  19 -> 31 [size =\"31497216\"]\n  19 -> 33 [size =\"31497216\"]\n  19 -> 35 [size =\"31497216\"]\n  19 -> 36 [size =\"31497216\"]\n  19 -> 38 [size =\"31497216\"]\n  20 [size=\"45918208\", alpha=\"0.01\", expect_size=\"22959104\"] \n  20 -> 38 [size =\"22959104\"]\n  20 -> 40 [size =\"22959104\"]\n  21 [size=\"31563776\", alpha=\"0.14\", expect_size=\"15781888\"] \n  21 -> 34 [size =\"15781888\"]\n  21 -> 35 [size =\"15781888\"]\n  21 -> 36 [size =\"15781888\"]\n  21 -> 37 [size =\"15781888\"]\n  22 [size=\"47704064\", alpha=\"0.12\", expect_size=\"23852032\"] \n  22 -> 33 [size =\"23852032\"]\n  22 -> 34 [size =\"23852032\"]\n  22 -> 37 [size =\"23852032\"]\n  23 [size=\"51916800\", alpha=\"0.20\", expect_size=\"25958400\"] \n  23 -> 29 [size =\"25958400\"]\n  23 -> 30 [size =\"25958400\"]\n  23 -> 32 [size =\"25958400\"]\n  23 -> 34 [size =\"25958400\"]\n  23 -> 38 [size =\"25958400\"]\n  23 -> 39 [size =\"25958400\"]\n  24 [size=\"58593280\", alpha=\"0.06\", expect_size=\"29296640\"] \n  24 -> 30 [size =\"29296640\"]\n  24 -> 32 [size =\"29296640\"]\n  24 -> 34 [size =\"29296640\"]\n  24 -> 34 [size =\"29296640\"]\n  24 -> 35 [size =\"29296640\"]\n  24 -> 38 [size =\"29296640\"]\n  25 [size=\"54972416\", alpha=\"0.15\", expect_size=\"27486208\"] \n  25 -> 37 [size =\"27486208\"]\n  25 -> 40 [size =\"27486208\"]\n  26 [size=\"96770048\", alpha=\"0.04\", expect_size=\"48385024\"] \n  26 -> 37 [size =\"48385024\"]\n  26 -> 38 [size =\"48385024\"]\n  26 -> 39 [size =\"48385024\"]\n  26 -> 40 [size =\"48385024\"]\n  27 [size=\"55476224\", alpha=\"0.19\", expect_size=\"27738112\"] \n  27 -> 29 [size =\"27738112\"]\n  27 -> 37 [size =\"27738112\"]\n  27 -> 38 [size =\"27738112\"]\n  27 -> 39 [size =\"27738112\"]\n  27 -> 40 [size =\"27738112\"]\n  28 [size=\"104376320\", alpha=\"0.10\", expect_size=\"52188160\"] \n  28 -> 32 [size =\"52188160\"]\n  28 -> 35 [size =\"52188160\"]\n  28 -> 37 [size =\"52188160\"]\n  28 -> 38 [size =\"52188160\"]\n  28 -> 39 [size =\"52188160\"]\n  29 [size=\"23867392\", alpha=\"0.18\", expect_size=\"11933696\"] \n  29 -> 45 [size =\"11933696\"]\n  30 [size=\"89182208\", alpha=\"0.17\", expect_size=\"44591104\"] \n  30 -> 41 [size =\"44591104\"]\n  30 -> 42 [size =\"44591104\"]\n  30 -> 43 [size =\"44591104\"]\n  30 -> 44 [size =\"44591104\"]\n  30 -> 45 [size =\"44591104\"]\n  31 [size=\"96219136\", alpha=\"0.07\", expect_size=\"48109568\"] \n  31 -> 41 [size =\"48109568\"]\n  31 -> 42 [size =\"48109568\"]\n  31 -> 44 [size =\"48109568\"]\n  31 -> 45 [size =\"48109568\"]\n  31 -> 45 [size =\"48109568\"]\n  32 [size=\"67280896\", alpha=\"0.10\", expect_size=\"33640448\"] \n  32 -> 41 [size =\"33640448\"]\n  32 -> 42 [size =\"33640448\"]\n  32 -> 43 [size =\"33640448\"]\n  32 -> 44 [size =\"33640448\"]\n  33 [size=\"30283776\", alpha=\"0.09\", expect_size=\"15141888\"] \n  33 -> 44 [size =\"15141888\"]\n  34 [size=\"28211200\", alpha=\"0.18\", expect_size=\"14105600\"] \n  34 -> 44 [size =\"14105600\"]\n  35 [size=\"55545856\", alpha=\"0.09\", expect_size=\"27772928\"] \n  35 -> 42 [size =\"27772928\"]\n  36 [size=\"32436224\", alpha=\"0.08\", expect_size=\"16218112\"] \n  36 -> 42 [size =\"16218112\"]\n  36 -> 44 [size =\"16218112\"]\n  36 -> 45 [size =\"16218112\"]\n  37 [size=\"50931712\", alpha=\"0.13\", expect_size=\"25465856\"] \n  37 -> 41 [size =\"25465856\"]\n  37 -> 43 [size =\"25465856\"]\n  37 -> 45 [size =\"25465856\"]\n  38 [size=\"44670976\", alpha=\"0.01\", expect_size=\"22335488\"] \n  38 -> 42 [size =\"22335488\"]\n  39 [size=\"90034176\", alpha=\"0.00\", expect_size=\"45017088\"] \n  39 -> 41 [size =\"45017088\"]\n  40 [size=\"81940480\", alpha=\"0.07\", expect_size=\"40970240\"] \n  40 -> 41 [size =\"40970240\"]\n  41 [size=\"70133760\", alpha=\"0.18\", expect_size=\"35066880\"] \n  42 [size=\"104583168\", alpha=\"0.18\", expect_size=\"52291584\"] \n  43 [size=\"59125760\", alpha=\"0.05\", expect_size=\"29562880\"] \n  44 [size=\"99938304\", alpha=\"0.04\", expect_size=\"49969152\"] \n  45 [size=\"90648576\", alpha=\"0.11\", expect_size=\"45324288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103581696\", alpha=\"0.10\", expect_size=\"51790848\"] \n  1 -> 7 [size =\"51790848\"]\n  1 -> 9 [size =\"51790848\"]\n  2 [size=\"90902528\", alpha=\"0.11\", expect_size=\"45451264\"] \n  2 -> 8 [size =\"45451264\"]\n  2 -> 10 [size =\"45451264\"]\n  3 [size=\"46036992\", alpha=\"0.00\", expect_size=\"23018496\"] \n  3 -> 9 [size =\"23018496\"]\n  3 -> 11 [size =\"23018496\"]\n  4 [size=\"58884096\", alpha=\"0.06\", expect_size=\"29442048\"] \n  4 -> 7 [size =\"29442048\"]\n  4 -> 8 [size =\"29442048\"]\n  4 -> 9 [size =\"29442048\"]\n  4 -> 10 [size =\"29442048\"]\n  4 -> 11 [size =\"29442048\"]\n  5 [size=\"82944000\", alpha=\"0.14\", expect_size=\"41472000\"] \n  5 -> 8 [size =\"41472000\"]\n  5 -> 10 [size =\"41472000\"]\n  5 -> 11 [size =\"41472000\"]\n  6 [size=\"76742656\", alpha=\"0.15\", expect_size=\"38371328\"] \n  7 [size=\"15491072\", alpha=\"0.02\", expect_size=\"7745536\"] \n  7 -> 13 [size =\"7745536\"]\n  8 [size=\"27320320\", alpha=\"0.19\", expect_size=\"13660160\"] \n  8 -> 13 [size =\"13660160\"]\n  8 -> 17 [size =\"13660160\"]\n  9 [size=\"42823680\", alpha=\"0.12\", expect_size=\"21411840\"] \n  9 -> 12 [size =\"21411840\"]\n  9 -> 16 [size =\"21411840\"]\n  9 -> 17 [size =\"21411840\"]\n  10 [size=\"99956736\", alpha=\"0.09\", expect_size=\"49978368\"] \n  11 [size=\"42104832\", alpha=\"0.14\", expect_size=\"21052416\"] \n  11 -> 13 [size =\"21052416\"]\n  11 -> 14 [size =\"21052416\"]\n  11 -> 15 [size =\"21052416\"]\n  12 [size=\"87009280\", alpha=\"0.16\", expect_size=\"43504640\"] \n  12 -> 19 [size =\"43504640\"]\n  12 -> 21 [size =\"43504640\"]\n  13 [size=\"44236800\", alpha=\"0.15\", expect_size=\"22118400\"] \n  13 -> 18 [size =\"22118400\"]\n  13 -> 20 [size =\"22118400\"]\n  14 [size=\"46039040\", alpha=\"0.10\", expect_size=\"23019520\"] \n  14 -> 19 [size =\"23019520\"]\n  14 -> 21 [size =\"23019520\"]\n  14 -> 22 [size =\"23019520\"]\n  15 [size=\"74491904\", alpha=\"0.10\", expect_size=\"37245952\"] \n  15 -> 21 [size =\"37245952\"]\n  15 -> 23 [size =\"37245952\"]\n  16 [size=\"46698496\", alpha=\"0.06\", expect_size=\"23349248\"] \n  16 -> 22 [size =\"23349248\"]\n  16 -> 23 [size =\"23349248\"]\n  17 [size=\"25149440\", alpha=\"0.12\", expect_size=\"12574720\"] \n  17 -> 20 [size =\"12574720\"]\n  17 -> 22 [size =\"12574720\"]\n  18 [size=\"32327680\", alpha=\"0.13\", expect_size=\"16163840\"] \n  18 -> 29 [size =\"16163840\"]\n  19 [size=\"26132480\", alpha=\"0.07\", expect_size=\"13066240\"] \n  19 -> 25 [size =\"13066240\"]\n  20 [size=\"80691200\", alpha=\"0.16\", expect_size=\"40345600\"] \n  20 -> 26 [size =\"40345600\"]\n  20 -> 27 [size =\"40345600\"]\n  21 [size=\"27389952\", alpha=\"0.05\", expect_size=\"13694976\"] \n  21 -> 24 [size =\"13694976\"]\n  21 -> 25 [size =\"13694976\"]\n  21 -> 26 [size =\"13694976\"]\n  21 -> 28 [size =\"13694976\"]\n  22 [size=\"93833216\", alpha=\"0.11\", expect_size=\"46916608\"] \n  22 -> 25 [size =\"46916608\"]\n  22 -> 27 [size =\"46916608\"]\n  22 -> 29 [size =\"46916608\"]\n  23 [size=\"75227136\", alpha=\"0.04\", expect_size=\"37613568\"] \n  23 -> 29 [size =\"37613568\"]\n  24 [size=\"49977344\", alpha=\"0.08\", expect_size=\"24988672\"] \n  24 -> 31 [size =\"24988672\"]\n  24 -> 32 [size =\"24988672\"]\n  24 -> 34 [size =\"24988672\"]\n  24 -> 35 [size =\"24988672\"]\n  25 [size=\"94812160\", alpha=\"0.07\", expect_size=\"47406080\"] \n  25 -> 31 [size =\"47406080\"]\n  26 [size=\"45983744\", alpha=\"0.01\", expect_size=\"22991872\"] \n  26 -> 32 [size =\"22991872\"]\n  26 -> 35 [size =\"22991872\"]\n  27 [size=\"73115648\", alpha=\"0.15\", expect_size=\"36557824\"] \n  27 -> 30 [size =\"36557824\"]\n  28 [size=\"34385920\", alpha=\"0.13\", expect_size=\"17192960\"] \n  28 -> 33 [size =\"17192960\"]\n  29 [size=\"95531008\", alpha=\"0.17\", expect_size=\"47765504\"] \n  29 -> 30 [size =\"47765504\"]\n  30 [size=\"33409024\", alpha=\"0.01\", expect_size=\"16704512\"] \n  30 -> 37 [size =\"16704512\"]\n  30 -> 41 [size =\"16704512\"]\n  31 [size=\"14714880\", alpha=\"0.11\", expect_size=\"7357440\"] \n  31 -> 37 [size =\"7357440\"]\n  31 -> 40 [size =\"7357440\"]\n  31 -> 41 [size =\"7357440\"]\n  32 [size=\"38176768\", alpha=\"0.18\", expect_size=\"19088384\"] \n  32 -> 36 [size =\"19088384\"]\n  32 -> 38 [size =\"19088384\"]\n  32 -> 39 [size =\"19088384\"]\n  32 -> 40 [size =\"19088384\"]\n  33 [size=\"89835520\", alpha=\"0.11\", expect_size=\"44917760\"] \n  33 -> 36 [size =\"44917760\"]\n  34 [size=\"16502784\", alpha=\"0.13\", expect_size=\"8251392\"] \n  34 -> 38 [size =\"8251392\"]\n  34 -> 39 [size =\"8251392\"]\n  35 [size=\"55322624\", alpha=\"0.07\", expect_size=\"27661312\"] \n  35 -> 39 [size =\"27661312\"]\n  35 -> 41 [size =\"27661312\"]\n  36 [size=\"90005504\", alpha=\"0.10\", expect_size=\"45002752\"] \n  37 [size=\"92440576\", alpha=\"0.15\", expect_size=\"46220288\"] \n  38 [size=\"67633152\", alpha=\"0.06\", expect_size=\"33816576\"] \n  38 -> 45 [size =\"33816576\"]\n  39 [size=\"32419840\", alpha=\"0.19\", expect_size=\"16209920\"] \n  39 -> 44 [size =\"16209920\"]\n  40 [size=\"19138560\", alpha=\"0.07\", expect_size=\"9569280\"] \n  40 -> 42 [size =\"9569280\"]\n  40 -> 43 [size =\"9569280\"]\n  40 -> 44 [size =\"9569280\"]\n  40 -> 45 [size =\"9569280\"]\n  41 [size=\"22888448\", alpha=\"0.19\", expect_size=\"11444224\"] \n  41 -> 43 [size =\"11444224\"]\n  41 -> 45 [size =\"11444224\"]\n  42 [size=\"75290624\", alpha=\"0.09\", expect_size=\"37645312\"] \n  43 [size=\"64124928\", alpha=\"0.12\", expect_size=\"32062464\"] \n  44 [size=\"23146496\", alpha=\"0.04\", expect_size=\"11573248\"] \n  45 [size=\"82276352\", alpha=\"0.14\", expect_size=\"41138176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87216640\", alpha=\"0.12\", expect_size=\"34886656\"] \n  1 -> 3 [size =\"34886656\"]\n  1 -> 4 [size =\"34886656\"]\n  2 [size=\"85591040\", alpha=\"0.15\", expect_size=\"34236416\"] \n  2 -> 3 [size =\"34236416\"]\n  2 -> 4 [size =\"34236416\"]\n  3 [size=\"99683840\", alpha=\"0.04\", expect_size=\"39873536\"] \n  3 -> 5 [size =\"39873536\"]\n  3 -> 6 [size =\"39873536\"]\n  3 -> 7 [size =\"39873536\"]\n  4 [size=\"103367680\", alpha=\"0.16\", expect_size=\"41347072\"] \n  4 -> 5 [size =\"41347072\"]\n  4 -> 6 [size =\"41347072\"]\n  4 -> 7 [size =\"41347072\"]\n  5 [size=\"112268800\", alpha=\"0.11\", expect_size=\"44907520\"] \n  5 -> 8 [size =\"44907520\"]\n  6 [size=\"27868160\", alpha=\"0.05\", expect_size=\"11147264\"] \n  6 -> 8 [size =\"11147264\"]\n  7 [size=\"96268800\", alpha=\"0.17\", expect_size=\"38507520\"] \n  7 -> 8 [size =\"38507520\"]\n  7 -> 9 [size =\"38507520\"]\n  8 [size=\"30118400\", alpha=\"0.01\", expect_size=\"12047360\"] \n  8 -> 10 [size =\"12047360\"]\n  8 -> 11 [size =\"12047360\"]\n  8 -> 12 [size =\"12047360\"]\n  9 [size=\"77634560\", alpha=\"0.08\", expect_size=\"31053824\"] \n  9 -> 10 [size =\"31053824\"]\n  9 -> 11 [size =\"31053824\"]\n  9 -> 12 [size =\"31053824\"]\n  10 [size=\"119016960\", alpha=\"0.09\", expect_size=\"47606784\"] \n  10 -> 15 [size =\"47606784\"]\n  11 [size=\"16596480\", alpha=\"0.17\", expect_size=\"6638592\"] \n  11 -> 14 [size =\"6638592\"]\n  11 -> 15 [size =\"6638592\"]\n  12 [size=\"89692160\", alpha=\"0.16\", expect_size=\"35876864\"] \n  12 -> 13 [size =\"35876864\"]\n  13 [size=\"62440960\", alpha=\"0.16\", expect_size=\"24976384\"] \n  13 -> 18 [size =\"24976384\"]\n  14 [size=\"85982720\", alpha=\"0.02\", expect_size=\"34393088\"] \n  14 -> 16 [size =\"34393088\"]\n  14 -> 17 [size =\"34393088\"]\n  15 [size=\"62231040\", alpha=\"0.19\", expect_size=\"24892416\"] \n  15 -> 16 [size =\"24892416\"]\n  15 -> 17 [size =\"24892416\"]\n  16 [size=\"126138880\", alpha=\"0.14\", expect_size=\"50455552\"] \n  17 [size=\"37977600\", alpha=\"0.20\", expect_size=\"15191040\"] \n  17 -> 19 [size =\"15191040\"]\n  17 -> 20 [size =\"15191040\"]\n  18 [size=\"20705280\", alpha=\"0.05\", expect_size=\"8282112\"] \n  18 -> 19 [size =\"8282112\"]\n  19 [size=\"24686080\", alpha=\"0.13\", expect_size=\"9874432\"] \n  19 -> 21 [size =\"9874432\"]\n  19 -> 22 [size =\"9874432\"]\n  19 -> 23 [size =\"9874432\"]\n  20 [size=\"71731200\", alpha=\"0.19\", expect_size=\"28692480\"] \n  20 -> 21 [size =\"28692480\"]\n  20 -> 22 [size =\"28692480\"]\n  20 -> 23 [size =\"28692480\"]\n  21 [size=\"124385280\", alpha=\"0.18\", expect_size=\"49754112\"] \n  21 -> 24 [size =\"49754112\"]\n  21 -> 25 [size =\"49754112\"]\n  22 [size=\"108600320\", alpha=\"0.09\", expect_size=\"43440128\"] \n  23 [size=\"87265280\", alpha=\"0.14\", expect_size=\"34906112\"] \n  23 -> 25 [size =\"34906112\"]\n  24 [size=\"63889920\", alpha=\"0.15\", expect_size=\"25555968\"] \n  24 -> 26 [size =\"25555968\"]\n  24 -> 27 [size =\"25555968\"]\n  24 -> 28 [size =\"25555968\"]\n  25 [size=\"78008320\", alpha=\"0.13\", expect_size=\"31203328\"] \n  25 -> 26 [size =\"31203328\"]\n  25 -> 27 [size =\"31203328\"]\n  25 -> 28 [size =\"31203328\"]\n  26 [size=\"69721600\", alpha=\"0.13\", expect_size=\"27888640\"] \n  26 -> 29 [size =\"27888640\"]\n  27 [size=\"36139520\", alpha=\"0.07\", expect_size=\"14455808\"] \n  27 -> 29 [size =\"14455808\"]\n  28 [size=\"33789440\", alpha=\"0.04\", expect_size=\"13515776\"] \n  28 -> 30 [size =\"13515776\"]\n  29 [size=\"62336000\", alpha=\"0.12\", expect_size=\"24934400\"] \n  29 -> 31 [size =\"24934400\"]\n  30 [size=\"21852160\", alpha=\"0.18\", expect_size=\"8740864\"] \n  30 -> 31 [size =\"8740864\"]\n  30 -> 32 [size =\"8740864\"]\n  31 [size=\"16752640\", alpha=\"0.05\", expect_size=\"6701056\"] \n  31 -> 34 [size =\"6701056\"]\n  32 [size=\"121144320\", alpha=\"0.04\", expect_size=\"48457728\"] \n  32 -> 33 [size =\"48457728\"]\n  32 -> 34 [size =\"48457728\"]\n  33 [size=\"53621760\", alpha=\"0.12\", expect_size=\"21448704\"] \n  34 [size=\"18723840\", alpha=\"0.13\", expect_size=\"7489536\"] \n  34 -> 35 [size =\"7489536\"]\n  34 -> 36 [size =\"7489536\"]\n  35 [size=\"106716160\", alpha=\"0.01\", expect_size=\"42686464\"] \n  35 -> 37 [size =\"42686464\"]\n  36 [size=\"62860800\", alpha=\"0.09\", expect_size=\"25144320\"] \n  36 -> 37 [size =\"25144320\"]\n  36 -> 38 [size =\"25144320\"]\n  37 [size=\"19891200\", alpha=\"0.01\", expect_size=\"7956480\"] \n  37 -> 39 [size =\"7956480\"]\n  37 -> 40 [size =\"7956480\"]\n  38 [size=\"60966400\", alpha=\"0.15\", expect_size=\"24386560\"] \n  38 -> 39 [size =\"24386560\"]\n  38 -> 40 [size =\"24386560\"]\n  38 -> 41 [size =\"24386560\"]\n  39 [size=\"85137920\", alpha=\"0.10\", expect_size=\"34055168\"] \n  39 -> 43 [size =\"34055168\"]\n  40 [size=\"38965760\", alpha=\"0.15\", expect_size=\"15586304\"] \n  40 -> 42 [size =\"15586304\"]\n  40 -> 43 [size =\"15586304\"]\n  41 [size=\"28362240\", alpha=\"0.19\", expect_size=\"11344896\"] \n  41 -> 43 [size =\"11344896\"]\n  42 [size=\"56816640\", alpha=\"0.19\", expect_size=\"22726656\"] \n  42 -> 44 [size =\"22726656\"]\n  42 -> 45 [size =\"22726656\"]\n  43 [size=\"82949120\", alpha=\"0.12\", expect_size=\"33179648\"] \n  43 -> 44 [size =\"33179648\"]\n  44 [size=\"38133760\", alpha=\"0.14\", expect_size=\"15253504\"] \n  45 [size=\"113210880\", alpha=\"0.06\", expect_size=\"45284352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43403264\", alpha=\"0.07\", expect_size=\"21701632\"] \n  1 -> 26 [size =\"21701632\"]\n  1 -> 27 [size =\"21701632\"]\n  1 -> 30 [size =\"21701632\"]\n  1 -> 31 [size =\"21701632\"]\n  1 -> 33 [size =\"21701632\"]\n  1 -> 36 [size =\"21701632\"]\n  1 -> 38 [size =\"21701632\"]\n  1 -> 45 [size =\"21701632\"]\n  2 [size=\"72099840\", alpha=\"0.11\", expect_size=\"36049920\"] \n  2 -> 27 [size =\"36049920\"]\n  2 -> 27 [size =\"36049920\"]\n  2 -> 28 [size =\"36049920\"]\n  2 -> 30 [size =\"36049920\"]\n  2 -> 32 [size =\"36049920\"]\n  2 -> 33 [size =\"36049920\"]\n  2 -> 34 [size =\"36049920\"]\n  2 -> 36 [size =\"36049920\"]\n  2 -> 40 [size =\"36049920\"]\n  2 -> 42 [size =\"36049920\"]\n  2 -> 43 [size =\"36049920\"]\n  3 [size=\"77699072\", alpha=\"0.00\", expect_size=\"38849536\"] \n  3 -> 35 [size =\"38849536\"]\n  3 -> 36 [size =\"38849536\"]\n  3 -> 41 [size =\"38849536\"]\n  4 [size=\"10878976\", alpha=\"0.05\", expect_size=\"5439488\"] \n  4 -> 25 [size =\"5439488\"]\n  4 -> 27 [size =\"5439488\"]\n  4 -> 33 [size =\"5439488\"]\n  4 -> 37 [size =\"5439488\"]\n  4 -> 40 [size =\"5439488\"]\n  4 -> 41 [size =\"5439488\"]\n  5 [size=\"90550272\", alpha=\"0.15\", expect_size=\"45275136\"] \n  5 -> 30 [size =\"45275136\"]\n  5 -> 31 [size =\"45275136\"]\n  5 -> 32 [size =\"45275136\"]\n  5 -> 35 [size =\"45275136\"]\n  5 -> 39 [size =\"45275136\"]\n  5 -> 40 [size =\"45275136\"]\n  5 -> 43 [size =\"45275136\"]\n  6 [size=\"17668096\", alpha=\"0.19\", expect_size=\"8834048\"] \n  6 -> 26 [size =\"8834048\"]\n  6 -> 31 [size =\"8834048\"]\n  6 -> 35 [size =\"8834048\"]\n  6 -> 37 [size =\"8834048\"]\n  6 -> 44 [size =\"8834048\"]\n  7 [size=\"63758336\", alpha=\"0.00\", expect_size=\"31879168\"] \n  7 -> 27 [size =\"31879168\"]\n  7 -> 31 [size =\"31879168\"]\n  7 -> 33 [size =\"31879168\"]\n  8 [size=\"76083200\", alpha=\"0.14\", expect_size=\"38041600\"] \n  8 -> 29 [size =\"38041600\"]\n  8 -> 31 [size =\"38041600\"]\n  8 -> 32 [size =\"38041600\"]\n  8 -> 33 [size =\"38041600\"]\n  8 -> 36 [size =\"38041600\"]\n  9 [size=\"95619072\", alpha=\"0.09\", expect_size=\"47809536\"] \n  9 -> 27 [size =\"47809536\"]\n  9 -> 28 [size =\"47809536\"]\n  9 -> 29 [size =\"47809536\"]\n  9 -> 31 [size =\"47809536\"]\n  9 -> 33 [size =\"47809536\"]\n  9 -> 34 [size =\"47809536\"]\n  9 -> 35 [size =\"47809536\"]\n  9 -> 37 [size =\"47809536\"]\n  9 -> 41 [size =\"47809536\"]\n  10 [size=\"99713024\", alpha=\"0.15\", expect_size=\"49856512\"] \n  10 -> 26 [size =\"49856512\"]\n  10 -> 29 [size =\"49856512\"]\n  10 -> 32 [size =\"49856512\"]\n  10 -> 33 [size =\"49856512\"]\n  10 -> 34 [size =\"49856512\"]\n  10 -> 35 [size =\"49856512\"]\n  10 -> 36 [size =\"49856512\"]\n  10 -> 37 [size =\"49856512\"]\n  10 -> 38 [size =\"49856512\"]\n  10 -> 41 [size =\"49856512\"]\n  10 -> 45 [size =\"49856512\"]\n  11 [size=\"35405824\", alpha=\"0.14\", expect_size=\"17702912\"] \n  11 -> 26 [size =\"17702912\"]\n  11 -> 28 [size =\"17702912\"]\n  11 -> 42 [size =\"17702912\"]\n  11 -> 43 [size =\"17702912\"]\n  12 [size=\"67862528\", alpha=\"0.10\", expect_size=\"33931264\"] \n  12 -> 27 [size =\"33931264\"]\n  12 -> 30 [size =\"33931264\"]\n  12 -> 35 [size =\"33931264\"]\n  12 -> 40 [size =\"33931264\"]\n  12 -> 42 [size =\"33931264\"]\n  12 -> 44 [size =\"33931264\"]\n  12 -> 45 [size =\"33931264\"]\n  13 [size=\"27273216\", alpha=\"0.12\", expect_size=\"13636608\"] \n  13 -> 27 [size =\"13636608\"]\n  13 -> 30 [size =\"13636608\"]\n  13 -> 33 [size =\"13636608\"]\n  13 -> 36 [size =\"13636608\"]\n  13 -> 37 [size =\"13636608\"]\n  13 -> 38 [size =\"13636608\"]\n  13 -> 40 [size =\"13636608\"]\n  13 -> 42 [size =\"13636608\"]\n  13 -> 45 [size =\"13636608\"]\n  14 [size=\"28887040\", alpha=\"0.06\", expect_size=\"14443520\"] \n  14 -> 27 [size =\"14443520\"]\n  14 -> 29 [size =\"14443520\"]\n  14 -> 30 [size =\"14443520\"]\n  14 -> 32 [size =\"14443520\"]\n  14 -> 35 [size =\"14443520\"]\n  14 -> 36 [size =\"14443520\"]\n  14 -> 40 [size =\"14443520\"]\n  14 -> 41 [size =\"14443520\"]\n  14 -> 43 [size =\"14443520\"]\n  14 -> 45 [size =\"14443520\"]\n  15 [size=\"53225472\", alpha=\"0.02\", expect_size=\"26612736\"] \n  15 -> 27 [size =\"26612736\"]\n  15 -> 29 [size =\"26612736\"]\n  15 -> 30 [size =\"26612736\"]\n  15 -> 31 [size =\"26612736\"]\n  15 -> 32 [size =\"26612736\"]\n  15 -> 35 [size =\"26612736\"]\n  15 -> 37 [size =\"26612736\"]\n  15 -> 40 [size =\"26612736\"]\n  15 -> 43 [size =\"26612736\"]\n  15 -> 45 [size =\"26612736\"]\n  16 [size=\"29675520\", alpha=\"0.12\", expect_size=\"14837760\"] \n  16 -> 26 [size =\"14837760\"]\n  16 -> 27 [size =\"14837760\"]\n  16 -> 28 [size =\"14837760\"]\n  16 -> 29 [size =\"14837760\"]\n  16 -> 31 [size =\"14837760\"]\n  16 -> 32 [size =\"14837760\"]\n  16 -> 35 [size =\"14837760\"]\n  16 -> 40 [size =\"14837760\"]\n  16 -> 43 [size =\"14837760\"]\n  17 [size=\"25411584\", alpha=\"0.17\", expect_size=\"12705792\"] \n  17 -> 24 [size =\"12705792\"]\n  17 -> 26 [size =\"12705792\"]\n  17 -> 28 [size =\"12705792\"]\n  17 -> 31 [size =\"12705792\"]\n  17 -> 33 [size =\"12705792\"]\n  17 -> 36 [size =\"12705792\"]\n  17 -> 40 [size =\"12705792\"]\n  17 -> 43 [size =\"12705792\"]\n  17 -> 45 [size =\"12705792\"]\n  18 [size=\"27676672\", alpha=\"0.11\", expect_size=\"13838336\"] \n  18 -> 31 [size =\"13838336\"]\n  18 -> 40 [size =\"13838336\"]\n  18 -> 42 [size =\"13838336\"]\n  18 -> 43 [size =\"13838336\"]\n  19 [size=\"93517824\", alpha=\"0.13\", expect_size=\"46758912\"] \n  19 -> 29 [size =\"46758912\"]\n  19 -> 30 [size =\"46758912\"]\n  19 -> 33 [size =\"46758912\"]\n  19 -> 34 [size =\"46758912\"]\n  19 -> 37 [size =\"46758912\"]\n  19 -> 40 [size =\"46758912\"]\n  20 [size=\"42258432\", alpha=\"0.04\", expect_size=\"21129216\"] \n  20 -> 27 [size =\"21129216\"]\n  20 -> 28 [size =\"21129216\"]\n  20 -> 30 [size =\"21129216\"]\n  20 -> 31 [size =\"21129216\"]\n  20 -> 33 [size =\"21129216\"]\n  20 -> 36 [size =\"21129216\"]\n  20 -> 37 [size =\"21129216\"]\n  20 -> 42 [size =\"21129216\"]\n  20 -> 45 [size =\"21129216\"]\n  21 [size=\"18739200\", alpha=\"0.02\", expect_size=\"9369600\"] \n  21 -> 30 [size =\"9369600\"]\n  21 -> 31 [size =\"9369600\"]\n  21 -> 38 [size =\"9369600\"]\n  21 -> 43 [size =\"9369600\"]\n  22 [size=\"82685952\", alpha=\"0.12\", expect_size=\"41342976\"] \n  22 -> 24 [size =\"41342976\"]\n  22 -> 25 [size =\"41342976\"]\n  22 -> 28 [size =\"41342976\"]\n  22 -> 32 [size =\"41342976\"]\n  22 -> 34 [size =\"41342976\"]\n  22 -> 35 [size =\"41342976\"]\n  22 -> 36 [size =\"41342976\"]\n  22 -> 38 [size =\"41342976\"]\n  22 -> 40 [size =\"41342976\"]\n  23 [size=\"33794048\", alpha=\"0.18\", expect_size=\"16897024\"] \n  23 -> 30 [size =\"16897024\"]\n  23 -> 36 [size =\"16897024\"]\n  23 -> 42 [size =\"16897024\"]\n  24 [size=\"89788416\", alpha=\"0.03\", expect_size=\"44894208\"] \n  25 [size=\"23920640\", alpha=\"0.05\", expect_size=\"11960320\"] \n  26 [size=\"31082496\", alpha=\"0.08\", expect_size=\"15541248\"] \n  27 [size=\"87560192\", alpha=\"0.03\", expect_size=\"43780096\"] \n  28 [size=\"71661568\", alpha=\"0.12\", expect_size=\"35830784\"] \n  29 [size=\"30631936\", alpha=\"0.19\", expect_size=\"15315968\"] \n  30 [size=\"93100032\", alpha=\"0.05\", expect_size=\"46550016\"] \n  31 [size=\"17534976\", alpha=\"0.16\", expect_size=\"8767488\"] \n  32 [size=\"25600000\", alpha=\"0.19\", expect_size=\"12800000\"] \n  33 [size=\"84537344\", alpha=\"0.06\", expect_size=\"42268672\"] \n  34 [size=\"72818688\", alpha=\"0.16\", expect_size=\"36409344\"] \n  35 [size=\"85207040\", alpha=\"0.16\", expect_size=\"42603520\"] \n  36 [size=\"13031424\", alpha=\"0.20\", expect_size=\"6515712\"] \n  37 [size=\"52211712\", alpha=\"0.07\", expect_size=\"26105856\"] \n  38 [size=\"67284992\", alpha=\"0.17\", expect_size=\"33642496\"] \n  39 [size=\"29472768\", alpha=\"0.05\", expect_size=\"14736384\"] \n  40 [size=\"23914496\", alpha=\"0.00\", expect_size=\"11957248\"] \n  41 [size=\"45463552\", alpha=\"0.17\", expect_size=\"22731776\"] \n  42 [size=\"24670208\", alpha=\"0.09\", expect_size=\"12335104\"] \n  43 [size=\"18915328\", alpha=\"0.06\", expect_size=\"9457664\"] \n  44 [size=\"44984320\", alpha=\"0.19\", expect_size=\"22492160\"] \n  45 [size=\"26908672\", alpha=\"0.16\", expect_size=\"13454336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87752704\", alpha=\"0.13\", expect_size=\"43876352\"] \n  1 -> 2 [size =\"43876352\"]\n  2 [size=\"97851392\", alpha=\"0.18\", expect_size=\"48925696\"] \n  2 -> 3 [size =\"48925696\"]\n  3 [size=\"70690816\", alpha=\"0.17\", expect_size=\"35345408\"] \n  3 -> 4 [size =\"35345408\"]\n  4 [size=\"17948672\", alpha=\"0.01\", expect_size=\"8974336\"] \n  4 -> 5 [size =\"8974336\"]\n  5 [size=\"48764928\", alpha=\"0.04\", expect_size=\"24382464\"] \n  5 -> 6 [size =\"24382464\"]\n  6 [size=\"56266752\", alpha=\"0.17\", expect_size=\"28133376\"] \n  6 -> 7 [size =\"28133376\"]\n  7 [size=\"30420992\", alpha=\"0.12\", expect_size=\"15210496\"] \n  7 -> 8 [size =\"15210496\"]\n  8 [size=\"71999488\", alpha=\"0.07\", expect_size=\"35999744\"] \n  8 -> 9 [size =\"35999744\"]\n  9 [size=\"34605056\", alpha=\"0.19\", expect_size=\"17302528\"] \n  9 -> 10 [size =\"17302528\"]\n  10 [size=\"48183296\", alpha=\"0.10\", expect_size=\"24091648\"] \n  10 -> 11 [size =\"24091648\"]\n  11 [size=\"96362496\", alpha=\"0.05\", expect_size=\"48181248\"] \n  11 -> 12 [size =\"48181248\"]\n  12 [size=\"61517824\", alpha=\"0.09\", expect_size=\"30758912\"] \n  12 -> 13 [size =\"30758912\"]\n  13 [size=\"53731328\", alpha=\"0.10\", expect_size=\"26865664\"] \n  13 -> 14 [size =\"26865664\"]\n  14 [size=\"40265728\", alpha=\"0.05\", expect_size=\"20132864\"] \n  14 -> 15 [size =\"20132864\"]\n  15 [size=\"42733568\", alpha=\"0.20\", expect_size=\"21366784\"] \n  15 -> 16 [size =\"21366784\"]\n  16 [size=\"60030976\", alpha=\"0.00\", expect_size=\"30015488\"] \n  16 -> 17 [size =\"30015488\"]\n  17 [size=\"46280704\", alpha=\"0.15\", expect_size=\"23140352\"] \n  17 -> 18 [size =\"23140352\"]\n  18 [size=\"102520832\", alpha=\"0.07\", expect_size=\"51260416\"] \n  18 -> 19 [size =\"51260416\"]\n  19 [size=\"42895360\", alpha=\"0.12\", expect_size=\"21447680\"] \n  19 -> 20 [size =\"21447680\"]\n  20 [size=\"35903488\", alpha=\"0.16\", expect_size=\"17951744\"] \n  20 -> 21 [size =\"17951744\"]\n  21 [size=\"83132416\", alpha=\"0.17\", expect_size=\"41566208\"] \n  21 -> 22 [size =\"41566208\"]\n  22 [size=\"14641152\", alpha=\"0.16\", expect_size=\"7320576\"] \n  22 -> 23 [size =\"7320576\"]\n  23 [size=\"58433536\", alpha=\"0.09\", expect_size=\"29216768\"] \n  23 -> 24 [size =\"29216768\"]\n  24 [size=\"11554816\", alpha=\"0.02\", expect_size=\"5777408\"] \n  24 -> 25 [size =\"5777408\"]\n  25 [size=\"34598912\", alpha=\"0.04\", expect_size=\"17299456\"] \n  25 -> 26 [size =\"17299456\"]\n  26 [size=\"32956416\", alpha=\"0.16\", expect_size=\"16478208\"] \n  26 -> 27 [size =\"16478208\"]\n  27 [size=\"33071104\", alpha=\"0.12\", expect_size=\"16535552\"] \n  27 -> 28 [size =\"16535552\"]\n  28 [size=\"104345600\", alpha=\"0.00\", expect_size=\"52172800\"] \n  28 -> 29 [size =\"52172800\"]\n  29 [size=\"42094592\", alpha=\"0.14\", expect_size=\"21047296\"] \n  29 -> 30 [size =\"21047296\"]\n  30 [size=\"96942080\", alpha=\"0.16\", expect_size=\"48471040\"] \n  30 -> 31 [size =\"48471040\"]\n  31 [size=\"78749696\", alpha=\"0.16\", expect_size=\"39374848\"] \n  31 -> 32 [size =\"39374848\"]\n  32 [size=\"64786432\", alpha=\"0.07\", expect_size=\"32393216\"] \n  32 -> 33 [size =\"32393216\"]\n  33 [size=\"48046080\", alpha=\"0.07\", expect_size=\"24023040\"] \n  33 -> 34 [size =\"24023040\"]\n  34 [size=\"88735744\", alpha=\"0.14\", expect_size=\"44367872\"] \n  34 -> 35 [size =\"44367872\"]\n  35 [size=\"99944448\", alpha=\"0.07\", expect_size=\"49972224\"] \n  35 -> 36 [size =\"49972224\"]\n  36 [size=\"25585664\", alpha=\"0.11\", expect_size=\"12792832\"] \n  36 -> 37 [size =\"12792832\"]\n  37 [size=\"100179968\", alpha=\"0.02\", expect_size=\"50089984\"] \n  37 -> 38 [size =\"50089984\"]\n  38 [size=\"60551168\", alpha=\"0.13\", expect_size=\"30275584\"] \n  38 -> 39 [size =\"30275584\"]\n  39 [size=\"62584832\", alpha=\"0.11\", expect_size=\"31292416\"] \n  39 -> 40 [size =\"31292416\"]\n  40 [size=\"36030464\", alpha=\"0.14\", expect_size=\"18015232\"] \n  40 -> 41 [size =\"18015232\"]\n  41 [size=\"18585600\", alpha=\"0.12\", expect_size=\"9292800\"] \n  41 -> 42 [size =\"9292800\"]\n  42 [size=\"96126976\", alpha=\"0.12\", expect_size=\"48063488\"] \n  42 -> 43 [size =\"48063488\"]\n  43 [size=\"36573184\", alpha=\"0.01\", expect_size=\"18286592\"] \n  43 -> 44 [size =\"18286592\"]\n  44 [size=\"71915520\", alpha=\"0.11\", expect_size=\"35957760\"] \n  44 -> 45 [size =\"35957760\"]\n  45 [size=\"43190272\", alpha=\"0.06\", expect_size=\"21595136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54599680\", alpha=\"0.17\", expect_size=\"21839872\"] \n  1 -> 4 [size =\"21839872\"]\n  2 [size=\"92989440\", alpha=\"0.12\", expect_size=\"37195776\"] \n  2 -> 3 [size =\"37195776\"]\n  3 [size=\"41251840\", alpha=\"0.17\", expect_size=\"16500736\"] \n  3 -> 5 [size =\"16500736\"]\n  3 -> 6 [size =\"16500736\"]\n  4 [size=\"95464960\", alpha=\"0.01\", expect_size=\"38185984\"] \n  4 -> 6 [size =\"38185984\"]\n  5 [size=\"33044480\", alpha=\"0.05\", expect_size=\"13217792\"] \n  5 -> 7 [size =\"13217792\"]\n  5 -> 8 [size =\"13217792\"]\n  6 [size=\"42501120\", alpha=\"0.10\", expect_size=\"17000448\"] \n  6 -> 7 [size =\"17000448\"]\n  7 [size=\"72028160\", alpha=\"0.19\", expect_size=\"28811264\"] \n  8 [size=\"78579200\", alpha=\"0.06\", expect_size=\"31431680\"] \n  8 -> 9 [size =\"31431680\"]\n  8 -> 10 [size =\"31431680\"]\n  9 [size=\"74554880\", alpha=\"0.18\", expect_size=\"29821952\"] \n  9 -> 12 [size =\"29821952\"]\n  9 -> 13 [size =\"29821952\"]\n  10 [size=\"71984640\", alpha=\"0.14\", expect_size=\"28793856\"] \n  10 -> 11 [size =\"28793856\"]\n  10 -> 12 [size =\"28793856\"]\n  10 -> 13 [size =\"28793856\"]\n  11 [size=\"84262400\", alpha=\"0.03\", expect_size=\"33704960\"] \n  12 [size=\"65126400\", alpha=\"0.16\", expect_size=\"26050560\"] \n  12 -> 15 [size =\"26050560\"]\n  13 [size=\"20083200\", alpha=\"0.13\", expect_size=\"8033280\"] \n  13 -> 14 [size =\"8033280\"]\n  13 -> 15 [size =\"8033280\"]\n  14 [size=\"118115840\", alpha=\"0.04\", expect_size=\"47246336\"] \n  14 -> 16 [size =\"47246336\"]\n  14 -> 17 [size =\"47246336\"]\n  15 [size=\"125112320\", alpha=\"0.15\", expect_size=\"50044928\"] \n  15 -> 17 [size =\"50044928\"]\n  16 [size=\"38691840\", alpha=\"0.17\", expect_size=\"15476736\"] \n  16 -> 18 [size =\"15476736\"]\n  16 -> 19 [size =\"15476736\"]\n  17 [size=\"99648000\", alpha=\"0.07\", expect_size=\"39859200\"] \n  18 [size=\"95846400\", alpha=\"0.01\", expect_size=\"38338560\"] \n  18 -> 20 [size =\"38338560\"]\n  19 [size=\"129185280\", alpha=\"0.01\", expect_size=\"51674112\"] \n  19 -> 21 [size =\"51674112\"]\n  20 [size=\"116904960\", alpha=\"0.13\", expect_size=\"46761984\"] \n  20 -> 22 [size =\"46761984\"]\n  20 -> 23 [size =\"46761984\"]\n  21 [size=\"80599040\", alpha=\"0.12\", expect_size=\"32239616\"] \n  21 -> 22 [size =\"32239616\"]\n  22 [size=\"97472000\", alpha=\"0.05\", expect_size=\"38988800\"] \n  23 [size=\"73382400\", alpha=\"0.03\", expect_size=\"29352960\"] \n  23 -> 24 [size =\"29352960\"]\n  23 -> 25 [size =\"29352960\"]\n  24 [size=\"35010560\", alpha=\"0.15\", expect_size=\"14004224\"] \n  24 -> 26 [size =\"14004224\"]\n  24 -> 27 [size =\"14004224\"]\n  25 [size=\"55759360\", alpha=\"0.10\", expect_size=\"22303744\"] \n  25 -> 27 [size =\"22303744\"]\n  26 [size=\"24568320\", alpha=\"0.10\", expect_size=\"9827328\"] \n  26 -> 28 [size =\"9827328\"]\n  26 -> 29 [size =\"9827328\"]\n  26 -> 30 [size =\"9827328\"]\n  27 [size=\"122529280\", alpha=\"0.00\", expect_size=\"49011712\"] \n  27 -> 28 [size =\"49011712\"]\n  28 [size=\"46817280\", alpha=\"0.02\", expect_size=\"18726912\"] \n  28 -> 31 [size =\"18726912\"]\n  29 [size=\"51087360\", alpha=\"0.13\", expect_size=\"20434944\"] \n  29 -> 32 [size =\"20434944\"]\n  30 [size=\"54310400\", alpha=\"0.15\", expect_size=\"21724160\"] \n  30 -> 31 [size =\"21724160\"]\n  31 [size=\"130944000\", alpha=\"0.09\", expect_size=\"52377600\"] \n  31 -> 33 [size =\"52377600\"]\n  32 [size=\"86556160\", alpha=\"0.11\", expect_size=\"34622464\"] \n  32 -> 34 [size =\"34622464\"]\n  32 -> 35 [size =\"34622464\"]\n  33 [size=\"118993920\", alpha=\"0.15\", expect_size=\"47597568\"] \n  33 -> 37 [size =\"47597568\"]\n  33 -> 38 [size =\"47597568\"]\n  34 [size=\"20477440\", alpha=\"0.16\", expect_size=\"8190976\"] \n  34 -> 36 [size =\"8190976\"]\n  34 -> 38 [size =\"8190976\"]\n  35 [size=\"109288960\", alpha=\"0.17\", expect_size=\"43715584\"] \n  35 -> 36 [size =\"43715584\"]\n  36 [size=\"51476480\", alpha=\"0.02\", expect_size=\"20590592\"] \n  36 -> 39 [size =\"20590592\"]\n  36 -> 41 [size =\"20590592\"]\n  37 [size=\"112363520\", alpha=\"0.01\", expect_size=\"44945408\"] \n  38 [size=\"114944000\", alpha=\"0.15\", expect_size=\"45977600\"] \n  38 -> 40 [size =\"45977600\"]\n  39 [size=\"124689920\", alpha=\"0.08\", expect_size=\"49875968\"] \n  40 [size=\"85086720\", alpha=\"0.19\", expect_size=\"34034688\"] \n  40 -> 42 [size =\"34034688\"]\n  40 -> 43 [size =\"34034688\"]\n  41 [size=\"55014400\", alpha=\"0.01\", expect_size=\"22005760\"] \n  41 -> 42 [size =\"22005760\"]\n  41 -> 43 [size =\"22005760\"]\n  41 -> 44 [size =\"22005760\"]\n  42 [size=\"105625600\", alpha=\"0.17\", expect_size=\"42250240\"] \n  43 [size=\"53017600\", alpha=\"0.04\", expect_size=\"21207040\"] \n  44 [size=\"22126080\", alpha=\"0.15\", expect_size=\"8850432\"] \n  44 -> 45 [size =\"8850432\"]\n  45 [size=\"117964800\", alpha=\"0.12\", expect_size=\"47185920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113231360\", alpha=\"0.20\", expect_size=\"45292544\"] \n  1 -> 14 [size =\"45292544\"]\n  1 -> 20 [size =\"45292544\"]\n  1 -> 21 [size =\"45292544\"]\n  1 -> 26 [size =\"45292544\"]\n  1 -> 27 [size =\"45292544\"]\n  1 -> 28 [size =\"45292544\"]\n  2 [size=\"68769280\", alpha=\"0.11\", expect_size=\"27507712\"] \n  2 -> 16 [size =\"27507712\"]\n  2 -> 19 [size =\"27507712\"]\n  2 -> 20 [size =\"27507712\"]\n  2 -> 22 [size =\"27507712\"]\n  2 -> 26 [size =\"27507712\"]\n  2 -> 27 [size =\"27507712\"]\n  2 -> 28 [size =\"27507712\"]\n  3 [size=\"27374080\", alpha=\"0.20\", expect_size=\"10949632\"] \n  3 -> 14 [size =\"10949632\"]\n  3 -> 15 [size =\"10949632\"]\n  3 -> 16 [size =\"10949632\"]\n  3 -> 19 [size =\"10949632\"]\n  3 -> 25 [size =\"10949632\"]\n  3 -> 26 [size =\"10949632\"]\n  3 -> 27 [size =\"10949632\"]\n  4 [size=\"86031360\", alpha=\"0.16\", expect_size=\"34412544\"] \n  4 -> 14 [size =\"34412544\"]\n  4 -> 16 [size =\"34412544\"]\n  4 -> 17 [size =\"34412544\"]\n  4 -> 19 [size =\"34412544\"]\n  4 -> 21 [size =\"34412544\"]\n  4 -> 23 [size =\"34412544\"]\n  4 -> 26 [size =\"34412544\"]\n  4 -> 27 [size =\"34412544\"]\n  5 [size=\"76026880\", alpha=\"0.03\", expect_size=\"30410752\"] \n  5 -> 17 [size =\"30410752\"]\n  5 -> 19 [size =\"30410752\"]\n  5 -> 23 [size =\"30410752\"]\n  5 -> 24 [size =\"30410752\"]\n  5 -> 27 [size =\"30410752\"]\n  5 -> 28 [size =\"30410752\"]\n  6 [size=\"93785600\", alpha=\"0.20\", expect_size=\"37514240\"] \n  6 -> 14 [size =\"37514240\"]\n  6 -> 16 [size =\"37514240\"]\n  6 -> 22 [size =\"37514240\"]\n  6 -> 23 [size =\"37514240\"]\n  6 -> 24 [size =\"37514240\"]\n  6 -> 25 [size =\"37514240\"]\n  6 -> 28 [size =\"37514240\"]\n  6 -> 29 [size =\"37514240\"]\n  7 [size=\"79257600\", alpha=\"0.18\", expect_size=\"31703040\"] \n  7 -> 16 [size =\"31703040\"]\n  7 -> 19 [size =\"31703040\"]\n  7 -> 24 [size =\"31703040\"]\n  7 -> 29 [size =\"31703040\"]\n  7 -> 30 [size =\"31703040\"]\n  8 [size=\"26536960\", alpha=\"0.13\", expect_size=\"10614784\"] \n  8 -> 15 [size =\"10614784\"]\n  8 -> 19 [size =\"10614784\"]\n  8 -> 24 [size =\"10614784\"]\n  8 -> 25 [size =\"10614784\"]\n  8 -> 26 [size =\"10614784\"]\n  8 -> 31 [size =\"10614784\"]\n  9 [size=\"104220160\", alpha=\"0.17\", expect_size=\"41688064\"] \n  9 -> 14 [size =\"41688064\"]\n  9 -> 15 [size =\"41688064\"]\n  9 -> 16 [size =\"41688064\"]\n  9 -> 19 [size =\"41688064\"]\n  9 -> 22 [size =\"41688064\"]\n  9 -> 24 [size =\"41688064\"]\n  9 -> 26 [size =\"41688064\"]\n  9 -> 28 [size =\"41688064\"]\n  10 [size=\"40977920\", alpha=\"0.13\", expect_size=\"16391168\"] \n  10 -> 14 [size =\"16391168\"]\n  10 -> 19 [size =\"16391168\"]\n  10 -> 20 [size =\"16391168\"]\n  10 -> 23 [size =\"16391168\"]\n  10 -> 24 [size =\"16391168\"]\n  10 -> 24 [size =\"16391168\"]\n  10 -> 25 [size =\"16391168\"]\n  10 -> 26 [size =\"16391168\"]\n  10 -> 27 [size =\"16391168\"]\n  10 -> 28 [size =\"16391168\"]\n  10 -> 29 [size =\"16391168\"]\n  11 [size=\"119375360\", alpha=\"0.12\", expect_size=\"47750144\"] \n  11 -> 16 [size =\"47750144\"]\n  11 -> 20 [size =\"47750144\"]\n  11 -> 21 [size =\"47750144\"]\n  11 -> 22 [size =\"47750144\"]\n  11 -> 24 [size =\"47750144\"]\n  11 -> 25 [size =\"47750144\"]\n  11 -> 26 [size =\"47750144\"]\n  11 -> 28 [size =\"47750144\"]\n  12 [size=\"116748800\", alpha=\"0.18\", expect_size=\"46699520\"] \n  12 -> 15 [size =\"46699520\"]\n  12 -> 18 [size =\"46699520\"]\n  12 -> 26 [size =\"46699520\"]\n  12 -> 28 [size =\"46699520\"]\n  12 -> 29 [size =\"46699520\"]\n  13 [size=\"63088640\", alpha=\"0.20\", expect_size=\"25235456\"] \n  13 -> 16 [size =\"25235456\"]\n  13 -> 19 [size =\"25235456\"]\n  13 -> 26 [size =\"25235456\"]\n  13 -> 28 [size =\"25235456\"]\n  13 -> 31 [size =\"25235456\"]\n  14 [size=\"60211200\", alpha=\"0.01\", expect_size=\"24084480\"] \n  14 -> 33 [size =\"24084480\"]\n  14 -> 35 [size =\"24084480\"]\n  14 -> 40 [size =\"24084480\"]\n  14 -> 41 [size =\"24084480\"]\n  14 -> 43 [size =\"24084480\"]\n  14 -> 45 [size =\"24084480\"]\n  14 -> 45 [size =\"24084480\"]\n  15 [size=\"36413440\", alpha=\"0.08\", expect_size=\"14565376\"] \n  15 -> 33 [size =\"14565376\"]\n  15 -> 34 [size =\"14565376\"]\n  15 -> 35 [size =\"14565376\"]\n  15 -> 38 [size =\"14565376\"]\n  15 -> 40 [size =\"14565376\"]\n  15 -> 41 [size =\"14565376\"]\n  15 -> 43 [size =\"14565376\"]\n  15 -> 45 [size =\"14565376\"]\n  16 [size=\"55549440\", alpha=\"0.17\", expect_size=\"22219776\"] \n  16 -> 33 [size =\"22219776\"]\n  16 -> 35 [size =\"22219776\"]\n  16 -> 40 [size =\"22219776\"]\n  16 -> 42 [size =\"22219776\"]\n  16 -> 43 [size =\"22219776\"]\n  16 -> 45 [size =\"22219776\"]\n  17 [size=\"55493120\", alpha=\"0.12\", expect_size=\"22197248\"] \n  17 -> 33 [size =\"22197248\"]\n  17 -> 39 [size =\"22197248\"]\n  17 -> 40 [size =\"22197248\"]\n  17 -> 42 [size =\"22197248\"]\n  17 -> 45 [size =\"22197248\"]\n  17 -> 45 [size =\"22197248\"]\n  18 [size=\"46428160\", alpha=\"0.13\", expect_size=\"18571264\"] \n  18 -> 32 [size =\"18571264\"]\n  18 -> 33 [size =\"18571264\"]\n  18 -> 35 [size =\"18571264\"]\n  18 -> 36 [size =\"18571264\"]\n  18 -> 38 [size =\"18571264\"]\n  18 -> 40 [size =\"18571264\"]\n  18 -> 42 [size =\"18571264\"]\n  18 -> 43 [size =\"18571264\"]\n  18 -> 44 [size =\"18571264\"]\n  19 [size=\"124605440\", alpha=\"0.04\", expect_size=\"49842176\"] \n  19 -> 33 [size =\"49842176\"]\n  19 -> 36 [size =\"49842176\"]\n  19 -> 37 [size =\"49842176\"]\n  19 -> 38 [size =\"49842176\"]\n  20 [size=\"104714240\", alpha=\"0.03\", expect_size=\"41885696\"] \n  20 -> 33 [size =\"41885696\"]\n  20 -> 43 [size =\"41885696\"]\n  21 [size=\"61012480\", alpha=\"0.19\", expect_size=\"24404992\"] \n  21 -> 39 [size =\"24404992\"]\n  21 -> 43 [size =\"24404992\"]\n  21 -> 44 [size =\"24404992\"]\n  21 -> 45 [size =\"24404992\"]\n  22 [size=\"129318400\", alpha=\"0.05\", expect_size=\"51727360\"] \n  22 -> 32 [size =\"51727360\"]\n  22 -> 33 [size =\"51727360\"]\n  22 -> 34 [size =\"51727360\"]\n  22 -> 36 [size =\"51727360\"]\n  22 -> 38 [size =\"51727360\"]\n  22 -> 39 [size =\"51727360\"]\n  22 -> 40 [size =\"51727360\"]\n  22 -> 43 [size =\"51727360\"]\n  22 -> 45 [size =\"51727360\"]\n  23 [size=\"119987200\", alpha=\"0.13\", expect_size=\"47994880\"] \n  23 -> 34 [size =\"47994880\"]\n  23 -> 38 [size =\"47994880\"]\n  23 -> 40 [size =\"47994880\"]\n  23 -> 43 [size =\"47994880\"]\n  24 [size=\"119641600\", alpha=\"0.14\", expect_size=\"47856640\"] \n  24 -> 37 [size =\"47856640\"]\n  24 -> 40 [size =\"47856640\"]\n  24 -> 43 [size =\"47856640\"]\n  24 -> 43 [size =\"47856640\"]\n  24 -> 45 [size =\"47856640\"]\n  25 [size=\"127723520\", alpha=\"0.05\", expect_size=\"51089408\"] \n  25 -> 34 [size =\"51089408\"]\n  25 -> 41 [size =\"51089408\"]\n  26 [size=\"58380800\", alpha=\"0.10\", expect_size=\"23352320\"] \n  26 -> 34 [size =\"23352320\"]\n  26 -> 35 [size =\"23352320\"]\n  26 -> 38 [size =\"23352320\"]\n  26 -> 39 [size =\"23352320\"]\n  26 -> 40 [size =\"23352320\"]\n  26 -> 41 [size =\"23352320\"]\n  26 -> 44 [size =\"23352320\"]\n  26 -> 45 [size =\"23352320\"]\n  27 [size=\"39802880\", alpha=\"0.06\", expect_size=\"15921152\"] \n  27 -> 33 [size =\"15921152\"]\n  27 -> 34 [size =\"15921152\"]\n  27 -> 36 [size =\"15921152\"]\n  27 -> 37 [size =\"15921152\"]\n  27 -> 38 [size =\"15921152\"]\n  27 -> 39 [size =\"15921152\"]\n  27 -> 40 [size =\"15921152\"]\n  28 [size=\"109265920\", alpha=\"0.04\", expect_size=\"43706368\"] \n  28 -> 33 [size =\"43706368\"]\n  28 -> 34 [size =\"43706368\"]\n  28 -> 36 [size =\"43706368\"]\n  28 -> 37 [size =\"43706368\"]\n  28 -> 38 [size =\"43706368\"]\n  29 [size=\"70210560\", alpha=\"0.18\", expect_size=\"28084224\"] \n  29 -> 33 [size =\"28084224\"]\n  29 -> 34 [size =\"28084224\"]\n  29 -> 35 [size =\"28084224\"]\n  29 -> 37 [size =\"28084224\"]\n  29 -> 38 [size =\"28084224\"]\n  29 -> 43 [size =\"28084224\"]\n  29 -> 44 [size =\"28084224\"]\n  29 -> 45 [size =\"28084224\"]\n  30 [size=\"92477440\", alpha=\"0.16\", expect_size=\"36990976\"] \n  30 -> 33 [size =\"36990976\"]\n  30 -> 35 [size =\"36990976\"]\n  30 -> 37 [size =\"36990976\"]\n  30 -> 37 [size =\"36990976\"]\n  30 -> 38 [size =\"36990976\"]\n  30 -> 39 [size =\"36990976\"]\n  30 -> 43 [size =\"36990976\"]\n  30 -> 44 [size =\"36990976\"]\n  30 -> 45 [size =\"36990976\"]\n  31 [size=\"110640640\", alpha=\"0.13\", expect_size=\"44256256\"] \n  31 -> 33 [size =\"44256256\"]\n  31 -> 35 [size =\"44256256\"]\n  31 -> 37 [size =\"44256256\"]\n  31 -> 41 [size =\"44256256\"]\n  31 -> 43 [size =\"44256256\"]\n  31 -> 44 [size =\"44256256\"]\n  31 -> 45 [size =\"44256256\"]\n  32 [size=\"106862080\", alpha=\"0.07\", expect_size=\"42744832\"] \n  33 [size=\"18841600\", alpha=\"0.10\", expect_size=\"7536640\"] \n  34 [size=\"96775680\", alpha=\"0.00\", expect_size=\"38710272\"] \n  35 [size=\"59699200\", alpha=\"0.15\", expect_size=\"23879680\"] \n  36 [size=\"88494080\", alpha=\"0.16\", expect_size=\"35397632\"] \n  37 [size=\"27911680\", alpha=\"0.05\", expect_size=\"11164672\"] \n  38 [size=\"62072320\", alpha=\"0.20\", expect_size=\"24828928\"] \n  39 [size=\"86438400\", alpha=\"0.13\", expect_size=\"34575360\"] \n  40 [size=\"74160640\", alpha=\"0.02\", expect_size=\"29664256\"] \n  41 [size=\"53109760\", alpha=\"0.19\", expect_size=\"21243904\"] \n  42 [size=\"129559040\", alpha=\"0.16\", expect_size=\"51823616\"] \n  43 [size=\"53248000\", alpha=\"0.11\", expect_size=\"21299200\"] \n  44 [size=\"110097920\", alpha=\"0.04\", expect_size=\"44039168\"] \n  45 [size=\"111278080\", alpha=\"0.17\", expect_size=\"44511232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69163008\", alpha=\"0.15\", expect_size=\"34581504\"] \n  1 -> 34 [size =\"34581504\"]\n  1 -> 45 [size =\"34581504\"]\n  2 [size=\"14970880\", alpha=\"0.09\", expect_size=\"7485440\"] \n  2 -> 35 [size =\"7485440\"]\n  2 -> 38 [size =\"7485440\"]\n  2 -> 45 [size =\"7485440\"]\n  3 [size=\"29313024\", alpha=\"0.18\", expect_size=\"14656512\"] \n  3 -> 39 [size =\"14656512\"]\n  3 -> 42 [size =\"14656512\"]\n  4 [size=\"24469504\", alpha=\"0.04\", expect_size=\"12234752\"] \n  4 -> 37 [size =\"12234752\"]\n  4 -> 39 [size =\"12234752\"]\n  4 -> 45 [size =\"12234752\"]\n  5 [size=\"16171008\", alpha=\"0.12\", expect_size=\"8085504\"] \n  5 -> 40 [size =\"8085504\"]\n  5 -> 41 [size =\"8085504\"]\n  5 -> 42 [size =\"8085504\"]\n  5 -> 45 [size =\"8085504\"]\n  6 [size=\"67616768\", alpha=\"0.12\", expect_size=\"33808384\"] \n  6 -> 37 [size =\"33808384\"]\n  6 -> 39 [size =\"33808384\"]\n  6 -> 43 [size =\"33808384\"]\n  7 [size=\"57196544\", alpha=\"0.16\", expect_size=\"28598272\"] \n  7 -> 34 [size =\"28598272\"]\n  7 -> 39 [size =\"28598272\"]\n  7 -> 45 [size =\"28598272\"]\n  8 [size=\"11749376\", alpha=\"0.04\", expect_size=\"5874688\"] \n  8 -> 33 [size =\"5874688\"]\n  8 -> 40 [size =\"5874688\"]\n  9 [size=\"68990976\", alpha=\"0.03\", expect_size=\"34495488\"] \n  9 -> 37 [size =\"34495488\"]\n  10 [size=\"28508160\", alpha=\"0.00\", expect_size=\"14254080\"] \n  10 -> 43 [size =\"14254080\"]\n  11 [size=\"78477312\", alpha=\"0.04\", expect_size=\"39238656\"] \n  11 -> 33 [size =\"39238656\"]\n  11 -> 37 [size =\"39238656\"]\n  11 -> 39 [size =\"39238656\"]\n  11 -> 40 [size =\"39238656\"]\n  11 -> 43 [size =\"39238656\"]\n  11 -> 44 [size =\"39238656\"]\n  11 -> 45 [size =\"39238656\"]\n  12 [size=\"54880256\", alpha=\"0.19\", expect_size=\"27440128\"] \n  12 -> 35 [size =\"27440128\"]\n  12 -> 39 [size =\"27440128\"]\n  12 -> 41 [size =\"27440128\"]\n  12 -> 45 [size =\"27440128\"]\n  13 [size=\"98002944\", alpha=\"0.03\", expect_size=\"49001472\"] \n  13 -> 35 [size =\"49001472\"]\n  13 -> 37 [size =\"49001472\"]\n  13 -> 39 [size =\"49001472\"]\n  13 -> 41 [size =\"49001472\"]\n  13 -> 45 [size =\"49001472\"]\n  14 [size=\"90306560\", alpha=\"0.00\", expect_size=\"45153280\"] \n  14 -> 35 [size =\"45153280\"]\n  14 -> 39 [size =\"45153280\"]\n  14 -> 43 [size =\"45153280\"]\n  15 [size=\"17100800\", alpha=\"0.13\", expect_size=\"8550400\"] \n  15 -> 39 [size =\"8550400\"]\n  15 -> 45 [size =\"8550400\"]\n  16 [size=\"71741440\", alpha=\"0.13\", expect_size=\"35870720\"] \n  16 -> 39 [size =\"35870720\"]\n  16 -> 43 [size =\"35870720\"]\n  16 -> 44 [size =\"35870720\"]\n  17 [size=\"35700736\", alpha=\"0.06\", expect_size=\"17850368\"] \n  17 -> 34 [size =\"17850368\"]\n  17 -> 36 [size =\"17850368\"]\n  17 -> 39 [size =\"17850368\"]\n  17 -> 40 [size =\"17850368\"]\n  17 -> 41 [size =\"17850368\"]\n  17 -> 44 [size =\"17850368\"]\n  17 -> 45 [size =\"17850368\"]\n  18 [size=\"17221632\", alpha=\"0.05\", expect_size=\"8610816\"] \n  18 -> 35 [size =\"8610816\"]\n  18 -> 41 [size =\"8610816\"]\n  18 -> 42 [size =\"8610816\"]\n  18 -> 44 [size =\"8610816\"]\n  18 -> 45 [size =\"8610816\"]\n  19 [size=\"36829184\", alpha=\"0.18\", expect_size=\"18414592\"] \n  19 -> 39 [size =\"18414592\"]\n  19 -> 41 [size =\"18414592\"]\n  19 -> 43 [size =\"18414592\"]\n  20 [size=\"50092032\", alpha=\"0.03\", expect_size=\"25046016\"] \n  20 -> 34 [size =\"25046016\"]\n  20 -> 35 [size =\"25046016\"]\n  20 -> 41 [size =\"25046016\"]\n  20 -> 43 [size =\"25046016\"]\n  20 -> 45 [size =\"25046016\"]\n  21 [size=\"51144704\", alpha=\"0.02\", expect_size=\"25572352\"] \n  21 -> 35 [size =\"25572352\"]\n  21 -> 41 [size =\"25572352\"]\n  21 -> 43 [size =\"25572352\"]\n  21 -> 43 [size =\"25572352\"]\n  22 [size=\"70760448\", alpha=\"0.01\", expect_size=\"35380224\"] \n  22 -> 37 [size =\"35380224\"]\n  22 -> 41 [size =\"35380224\"]\n  23 [size=\"67862528\", alpha=\"0.04\", expect_size=\"33931264\"] \n  23 -> 39 [size =\"33931264\"]\n  23 -> 41 [size =\"33931264\"]\n  23 -> 43 [size =\"33931264\"]\n  24 [size=\"83603456\", alpha=\"0.10\", expect_size=\"41801728\"] \n  24 -> 39 [size =\"41801728\"]\n  24 -> 41 [size =\"41801728\"]\n  25 [size=\"84848640\", alpha=\"0.18\", expect_size=\"42424320\"] \n  25 -> 40 [size =\"42424320\"]\n  25 -> 41 [size =\"42424320\"]\n  25 -> 43 [size =\"42424320\"]\n  25 -> 45 [size =\"42424320\"]\n  26 [size=\"50843648\", alpha=\"0.17\", expect_size=\"25421824\"] \n  26 -> 34 [size =\"25421824\"]\n  26 -> 35 [size =\"25421824\"]\n  26 -> 38 [size =\"25421824\"]\n  26 -> 41 [size =\"25421824\"]\n  26 -> 42 [size =\"25421824\"]\n  26 -> 45 [size =\"25421824\"]\n  27 [size=\"16871424\", alpha=\"0.07\", expect_size=\"8435712\"] \n  27 -> 34 [size =\"8435712\"]\n  27 -> 37 [size =\"8435712\"]\n  27 -> 39 [size =\"8435712\"]\n  27 -> 41 [size =\"8435712\"]\n  27 -> 45 [size =\"8435712\"]\n  27 -> 45 [size =\"8435712\"]\n  28 [size=\"43362304\", alpha=\"0.16\", expect_size=\"21681152\"] \n  28 -> 34 [size =\"21681152\"]\n  28 -> 41 [size =\"21681152\"]\n  28 -> 43 [size =\"21681152\"]\n  28 -> 45 [size =\"21681152\"]\n  29 [size=\"66199552\", alpha=\"0.18\", expect_size=\"33099776\"] \n  29 -> 34 [size =\"33099776\"]\n  29 -> 35 [size =\"33099776\"]\n  29 -> 37 [size =\"33099776\"]\n  29 -> 40 [size =\"33099776\"]\n  29 -> 41 [size =\"33099776\"]\n  30 [size=\"54753280\", alpha=\"0.04\", expect_size=\"27376640\"] \n  30 -> 34 [size =\"27376640\"]\n  30 -> 38 [size =\"27376640\"]\n  30 -> 41 [size =\"27376640\"]\n  30 -> 43 [size =\"27376640\"]\n  30 -> 44 [size =\"27376640\"]\n  30 -> 45 [size =\"27376640\"]\n  31 [size=\"70868992\", alpha=\"0.04\", expect_size=\"35434496\"] \n  31 -> 33 [size =\"35434496\"]\n  31 -> 38 [size =\"35434496\"]\n  31 -> 44 [size =\"35434496\"]\n  32 [size=\"78850048\", alpha=\"0.14\", expect_size=\"39425024\"] \n  32 -> 34 [size =\"39425024\"]\n  32 -> 37 [size =\"39425024\"]\n  32 -> 45 [size =\"39425024\"]\n  33 [size=\"83185664\", alpha=\"0.02\", expect_size=\"41592832\"] \n  34 [size=\"102703104\", alpha=\"0.08\", expect_size=\"51351552\"] \n  35 [size=\"57012224\", alpha=\"0.14\", expect_size=\"28506112\"] \n  36 [size=\"46176256\", alpha=\"0.14\", expect_size=\"23088128\"] \n  37 [size=\"32950272\", alpha=\"0.19\", expect_size=\"16475136\"] \n  38 [size=\"64049152\", alpha=\"0.05\", expect_size=\"32024576\"] \n  39 [size=\"46362624\", alpha=\"0.17\", expect_size=\"23181312\"] \n  40 [size=\"38402048\", alpha=\"0.17\", expect_size=\"19201024\"] \n  41 [size=\"58185728\", alpha=\"0.06\", expect_size=\"29092864\"] \n  42 [size=\"79337472\", alpha=\"0.08\", expect_size=\"39668736\"] \n  43 [size=\"51879936\", alpha=\"0.02\", expect_size=\"25939968\"] \n  44 [size=\"63334400\", alpha=\"0.11\", expect_size=\"31667200\"] \n  45 [size=\"99147776\", alpha=\"0.16\", expect_size=\"49573888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129822720\", alpha=\"0.08\", expect_size=\"51929088\"] \n  1 -> 21 [size =\"51929088\"]\n  1 -> 22 [size =\"51929088\"]\n  1 -> 23 [size =\"51929088\"]\n  1 -> 24 [size =\"51929088\"]\n  1 -> 27 [size =\"51929088\"]\n  1 -> 30 [size =\"51929088\"]\n  1 -> 33 [size =\"51929088\"]\n  1 -> 34 [size =\"51929088\"]\n  2 [size=\"95029760\", alpha=\"0.13\", expect_size=\"38011904\"] \n  2 -> 21 [size =\"38011904\"]\n  2 -> 22 [size =\"38011904\"]\n  2 -> 23 [size =\"38011904\"]\n  2 -> 24 [size =\"38011904\"]\n  2 -> 26 [size =\"38011904\"]\n  2 -> 27 [size =\"38011904\"]\n  2 -> 28 [size =\"38011904\"]\n  2 -> 30 [size =\"38011904\"]\n  2 -> 32 [size =\"38011904\"]\n  3 [size=\"106424320\", alpha=\"0.16\", expect_size=\"42569728\"] \n  3 -> 21 [size =\"42569728\"]\n  3 -> 22 [size =\"42569728\"]\n  3 -> 24 [size =\"42569728\"]\n  3 -> 26 [size =\"42569728\"]\n  3 -> 26 [size =\"42569728\"]\n  3 -> 27 [size =\"42569728\"]\n  3 -> 29 [size =\"42569728\"]\n  3 -> 32 [size =\"42569728\"]\n  3 -> 35 [size =\"42569728\"]\n  3 -> 36 [size =\"42569728\"]\n  4 [size=\"62863360\", alpha=\"0.16\", expect_size=\"25145344\"] \n  4 -> 22 [size =\"25145344\"]\n  4 -> 22 [size =\"25145344\"]\n  4 -> 26 [size =\"25145344\"]\n  4 -> 27 [size =\"25145344\"]\n  5 [size=\"125634560\", alpha=\"0.14\", expect_size=\"50253824\"] \n  5 -> 22 [size =\"50253824\"]\n  5 -> 24 [size =\"50253824\"]\n  5 -> 25 [size =\"50253824\"]\n  5 -> 29 [size =\"50253824\"]\n  5 -> 30 [size =\"50253824\"]\n  5 -> 34 [size =\"50253824\"]\n  5 -> 36 [size =\"50253824\"]\n  6 [size=\"21606400\", alpha=\"0.13\", expect_size=\"8642560\"] \n  6 -> 21 [size =\"8642560\"]\n  6 -> 22 [size =\"8642560\"]\n  6 -> 28 [size =\"8642560\"]\n  6 -> 30 [size =\"8642560\"]\n  6 -> 34 [size =\"8642560\"]\n  6 -> 36 [size =\"8642560\"]\n  7 [size=\"92305920\", alpha=\"0.03\", expect_size=\"36922368\"] \n  7 -> 21 [size =\"36922368\"]\n  7 -> 22 [size =\"36922368\"]\n  7 -> 29 [size =\"36922368\"]\n  7 -> 30 [size =\"36922368\"]\n  7 -> 34 [size =\"36922368\"]\n  8 [size=\"22036480\", alpha=\"0.02\", expect_size=\"8814592\"] \n  8 -> 21 [size =\"8814592\"]\n  8 -> 24 [size =\"8814592\"]\n  8 -> 27 [size =\"8814592\"]\n  8 -> 30 [size =\"8814592\"]\n  8 -> 32 [size =\"8814592\"]\n  8 -> 34 [size =\"8814592\"]\n  9 [size=\"32760320\", alpha=\"0.19\", expect_size=\"13104128\"] \n  9 -> 20 [size =\"13104128\"]\n  9 -> 21 [size =\"13104128\"]\n  9 -> 23 [size =\"13104128\"]\n  9 -> 30 [size =\"13104128\"]\n  9 -> 34 [size =\"13104128\"]\n  10 [size=\"127790080\", alpha=\"0.02\", expect_size=\"51116032\"] \n  10 -> 20 [size =\"51116032\"]\n  10 -> 21 [size =\"51116032\"]\n  10 -> 23 [size =\"51116032\"]\n  10 -> 24 [size =\"51116032\"]\n  10 -> 27 [size =\"51116032\"]\n  10 -> 30 [size =\"51116032\"]\n  10 -> 36 [size =\"51116032\"]\n  11 [size=\"100720640\", alpha=\"0.08\", expect_size=\"40288256\"] \n  11 -> 20 [size =\"40288256\"]\n  11 -> 23 [size =\"40288256\"]\n  11 -> 24 [size =\"40288256\"]\n  11 -> 24 [size =\"40288256\"]\n  11 -> 26 [size =\"40288256\"]\n  11 -> 30 [size =\"40288256\"]\n  11 -> 36 [size =\"40288256\"]\n  11 -> 37 [size =\"40288256\"]\n  12 [size=\"32312320\", alpha=\"0.17\", expect_size=\"12924928\"] \n  12 -> 24 [size =\"12924928\"]\n  12 -> 25 [size =\"12924928\"]\n  12 -> 29 [size =\"12924928\"]\n  12 -> 30 [size =\"12924928\"]\n  12 -> 32 [size =\"12924928\"]\n  12 -> 34 [size =\"12924928\"]\n  12 -> 35 [size =\"12924928\"]\n  13 [size=\"109803520\", alpha=\"0.09\", expect_size=\"43921408\"] \n  13 -> 22 [size =\"43921408\"]\n  13 -> 23 [size =\"43921408\"]\n  13 -> 24 [size =\"43921408\"]\n  13 -> 25 [size =\"43921408\"]\n  13 -> 27 [size =\"43921408\"]\n  13 -> 29 [size =\"43921408\"]\n  13 -> 34 [size =\"43921408\"]\n  13 -> 35 [size =\"43921408\"]\n  14 [size=\"86243840\", alpha=\"0.12\", expect_size=\"34497536\"] \n  14 -> 24 [size =\"34497536\"]\n  14 -> 26 [size =\"34497536\"]\n  14 -> 27 [size =\"34497536\"]\n  14 -> 28 [size =\"34497536\"]\n  14 -> 29 [size =\"34497536\"]\n  14 -> 34 [size =\"34497536\"]\n  14 -> 36 [size =\"34497536\"]\n  15 [size=\"60577280\", alpha=\"0.16\", expect_size=\"24230912\"] \n  15 -> 20 [size =\"24230912\"]\n  15 -> 21 [size =\"24230912\"]\n  15 -> 27 [size =\"24230912\"]\n  15 -> 31 [size =\"24230912\"]\n  15 -> 35 [size =\"24230912\"]\n  15 -> 36 [size =\"24230912\"]\n  15 -> 36 [size =\"24230912\"]\n  16 [size=\"24212480\", alpha=\"0.01\", expect_size=\"9684992\"] \n  16 -> 21 [size =\"9684992\"]\n  16 -> 26 [size =\"9684992\"]\n  16 -> 27 [size =\"9684992\"]\n  16 -> 29 [size =\"9684992\"]\n  16 -> 32 [size =\"9684992\"]\n  16 -> 34 [size =\"9684992\"]\n  17 [size=\"100331520\", alpha=\"0.04\", expect_size=\"40132608\"] \n  17 -> 21 [size =\"40132608\"]\n  17 -> 22 [size =\"40132608\"]\n  17 -> 26 [size =\"40132608\"]\n  17 -> 27 [size =\"40132608\"]\n  17 -> 28 [size =\"40132608\"]\n  17 -> 29 [size =\"40132608\"]\n  17 -> 32 [size =\"40132608\"]\n  18 [size=\"119966720\", alpha=\"0.15\", expect_size=\"47986688\"] \n  18 -> 21 [size =\"47986688\"]\n  18 -> 22 [size =\"47986688\"]\n  18 -> 24 [size =\"47986688\"]\n  18 -> 27 [size =\"47986688\"]\n  18 -> 30 [size =\"47986688\"]\n  18 -> 32 [size =\"47986688\"]\n  19 [size=\"129789440\", alpha=\"0.09\", expect_size=\"51915776\"] \n  19 -> 21 [size =\"51915776\"]\n  19 -> 22 [size =\"51915776\"]\n  19 -> 24 [size =\"51915776\"]\n  19 -> 25 [size =\"51915776\"]\n  19 -> 26 [size =\"51915776\"]\n  19 -> 27 [size =\"51915776\"]\n  19 -> 30 [size =\"51915776\"]\n  19 -> 34 [size =\"51915776\"]\n  19 -> 36 [size =\"51915776\"]\n  20 [size=\"125071360\", alpha=\"0.07\", expect_size=\"50028544\"] \n  20 -> 42 [size =\"50028544\"]\n  20 -> 42 [size =\"50028544\"]\n  20 -> 43 [size =\"50028544\"]\n  20 -> 44 [size =\"50028544\"]\n  21 [size=\"17041920\", alpha=\"0.04\", expect_size=\"6816768\"] \n  21 -> 41 [size =\"6816768\"]\n  21 -> 43 [size =\"6816768\"]\n  21 -> 43 [size =\"6816768\"]\n  21 -> 44 [size =\"6816768\"]\n  22 [size=\"64424960\", alpha=\"0.15\", expect_size=\"25769984\"] \n  22 -> 39 [size =\"25769984\"]\n  22 -> 40 [size =\"25769984\"]\n  22 -> 41 [size =\"25769984\"]\n  22 -> 42 [size =\"25769984\"]\n  22 -> 43 [size =\"25769984\"]\n  22 -> 44 [size =\"25769984\"]\n  22 -> 45 [size =\"25769984\"]\n  23 [size=\"44774400\", alpha=\"0.02\", expect_size=\"17909760\"] \n  23 -> 41 [size =\"17909760\"]\n  23 -> 45 [size =\"17909760\"]\n  24 [size=\"95308800\", alpha=\"0.17\", expect_size=\"38123520\"] \n  24 -> 38 [size =\"38123520\"]\n  24 -> 40 [size =\"38123520\"]\n  24 -> 41 [size =\"38123520\"]\n  24 -> 42 [size =\"38123520\"]\n  24 -> 44 [size =\"38123520\"]\n  24 -> 45 [size =\"38123520\"]\n  25 [size=\"48499200\", alpha=\"0.11\", expect_size=\"19399680\"] \n  25 -> 38 [size =\"19399680\"]\n  25 -> 41 [size =\"19399680\"]\n  25 -> 41 [size =\"19399680\"]\n  25 -> 45 [size =\"19399680\"]\n  26 [size=\"26083840\", alpha=\"0.07\", expect_size=\"10433536\"] \n  26 -> 38 [size =\"10433536\"]\n  26 -> 44 [size =\"10433536\"]\n  26 -> 45 [size =\"10433536\"]\n  27 [size=\"33630720\", alpha=\"0.16\", expect_size=\"13452288\"] \n  27 -> 38 [size =\"13452288\"]\n  27 -> 40 [size =\"13452288\"]\n  27 -> 42 [size =\"13452288\"]\n  27 -> 44 [size =\"13452288\"]\n  28 [size=\"59120640\", alpha=\"0.07\", expect_size=\"23648256\"] \n  28 -> 38 [size =\"23648256\"]\n  28 -> 40 [size =\"23648256\"]\n  28 -> 41 [size =\"23648256\"]\n  28 -> 43 [size =\"23648256\"]\n  28 -> 44 [size =\"23648256\"]\n  29 [size=\"30233600\", alpha=\"0.01\", expect_size=\"12093440\"] \n  29 -> 38 [size =\"12093440\"]\n  29 -> 40 [size =\"12093440\"]\n  29 -> 41 [size =\"12093440\"]\n  30 [size=\"84567040\", alpha=\"0.15\", expect_size=\"33826816\"] \n  30 -> 38 [size =\"33826816\"]\n  30 -> 40 [size =\"33826816\"]\n  30 -> 41 [size =\"33826816\"]\n  30 -> 42 [size =\"33826816\"]\n  30 -> 43 [size =\"33826816\"]\n  31 [size=\"123322880\", alpha=\"0.03\", expect_size=\"49329152\"] \n  31 -> 40 [size =\"49329152\"]\n  31 -> 40 [size =\"49329152\"]\n  31 -> 41 [size =\"49329152\"]\n  31 -> 42 [size =\"49329152\"]\n  31 -> 43 [size =\"49329152\"]\n  32 [size=\"27294720\", alpha=\"0.15\", expect_size=\"10917888\"] \n  32 -> 39 [size =\"10917888\"]\n  32 -> 40 [size =\"10917888\"]\n  32 -> 41 [size =\"10917888\"]\n  32 -> 42 [size =\"10917888\"]\n  33 [size=\"114329600\", alpha=\"0.03\", expect_size=\"45731840\"] \n  33 -> 38 [size =\"45731840\"]\n  33 -> 40 [size =\"45731840\"]\n  33 -> 44 [size =\"45731840\"]\n  34 [size=\"123855360\", alpha=\"0.03\", expect_size=\"49542144\"] \n  34 -> 44 [size =\"49542144\"]\n  35 [size=\"105625600\", alpha=\"0.12\", expect_size=\"42250240\"] \n  35 -> 38 [size =\"42250240\"]\n  35 -> 40 [size =\"42250240\"]\n  35 -> 44 [size =\"42250240\"]\n  36 [size=\"54210560\", alpha=\"0.02\", expect_size=\"21684224\"] \n  36 -> 42 [size =\"21684224\"]\n  36 -> 43 [size =\"21684224\"]\n  36 -> 44 [size =\"21684224\"]\n  36 -> 45 [size =\"21684224\"]\n  37 [size=\"96069120\", alpha=\"0.07\", expect_size=\"38427648\"] \n  37 -> 41 [size =\"38427648\"]\n  37 -> 42 [size =\"38427648\"]\n  37 -> 44 [size =\"38427648\"]\n  38 [size=\"74472960\", alpha=\"0.11\", expect_size=\"29789184\"] \n  39 [size=\"116318720\", alpha=\"0.14\", expect_size=\"46527488\"] \n  40 [size=\"123297280\", alpha=\"0.16\", expect_size=\"49318912\"] \n  41 [size=\"92124160\", alpha=\"0.18\", expect_size=\"36849664\"] \n  42 [size=\"110417920\", alpha=\"0.10\", expect_size=\"44167168\"] \n  43 [size=\"79413760\", alpha=\"0.06\", expect_size=\"31765504\"] \n  44 [size=\"95815680\", alpha=\"0.17\", expect_size=\"38326272\"] \n  45 [size=\"114790400\", alpha=\"0.14\", expect_size=\"45916160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35600384\", alpha=\"0.12\", expect_size=\"17800192\"] \n  1 -> 7 [size =\"17800192\"]\n  2 [size=\"21995520\", alpha=\"0.06\", expect_size=\"10997760\"] \n  2 -> 8 [size =\"10997760\"]\n  2 -> 9 [size =\"10997760\"]\n  3 [size=\"82503680\", alpha=\"0.11\", expect_size=\"41251840\"] \n  3 -> 8 [size =\"41251840\"]\n  3 -> 9 [size =\"41251840\"]\n  4 [size=\"78182400\", alpha=\"0.12\", expect_size=\"39091200\"] \n  4 -> 6 [size =\"39091200\"]\n  4 -> 11 [size =\"39091200\"]\n  5 [size=\"84717568\", alpha=\"0.11\", expect_size=\"42358784\"] \n  5 -> 6 [size =\"42358784\"]\n  5 -> 10 [size =\"42358784\"]\n  5 -> 11 [size =\"42358784\"]\n  6 [size=\"95873024\", alpha=\"0.10\", expect_size=\"47936512\"] \n  6 -> 16 [size =\"47936512\"]\n  7 [size=\"57518080\", alpha=\"0.18\", expect_size=\"28759040\"] \n  7 -> 12 [size =\"28759040\"]\n  7 -> 15 [size =\"28759040\"]\n  7 -> 16 [size =\"28759040\"]\n  7 -> 17 [size =\"28759040\"]\n  8 [size=\"18292736\", alpha=\"0.05\", expect_size=\"9146368\"] \n  8 -> 14 [size =\"9146368\"]\n  9 [size=\"13555712\", alpha=\"0.18\", expect_size=\"6777856\"] \n  9 -> 13 [size =\"6777856\"]\n  10 [size=\"78196736\", alpha=\"0.06\", expect_size=\"39098368\"] \n  10 -> 13 [size =\"39098368\"]\n  10 -> 14 [size =\"39098368\"]\n  11 [size=\"33024000\", alpha=\"0.16\", expect_size=\"16512000\"] \n  12 [size=\"90916864\", alpha=\"0.00\", expect_size=\"45458432\"] \n  12 -> 23 [size =\"45458432\"]\n  13 [size=\"22786048\", alpha=\"0.08\", expect_size=\"11393024\"] \n  13 -> 18 [size =\"11393024\"]\n  13 -> 19 [size =\"11393024\"]\n  13 -> 23 [size =\"11393024\"]\n  14 [size=\"76562432\", alpha=\"0.07\", expect_size=\"38281216\"] \n  14 -> 18 [size =\"38281216\"]\n  14 -> 21 [size =\"38281216\"]\n  14 -> 23 [size =\"38281216\"]\n  15 [size=\"36708352\", alpha=\"0.12\", expect_size=\"18354176\"] \n  15 -> 22 [size =\"18354176\"]\n  16 [size=\"89368576\", alpha=\"0.13\", expect_size=\"44684288\"] \n  16 -> 20 [size =\"44684288\"]\n  16 -> 21 [size =\"44684288\"]\n  17 [size=\"42010624\", alpha=\"0.14\", expect_size=\"21005312\"] \n  17 -> 22 [size =\"21005312\"]\n  18 [size=\"31758336\", alpha=\"0.08\", expect_size=\"15879168\"] \n  18 -> 25 [size =\"15879168\"]\n  19 [size=\"57317376\", alpha=\"0.20\", expect_size=\"28658688\"] \n  19 -> 24 [size =\"28658688\"]\n  19 -> 27 [size =\"28658688\"]\n  19 -> 28 [size =\"28658688\"]\n  19 -> 29 [size =\"28658688\"]\n  20 [size=\"47945728\", alpha=\"0.08\", expect_size=\"23972864\"] \n  20 -> 25 [size =\"23972864\"]\n  20 -> 26 [size =\"23972864\"]\n  21 [size=\"77897728\", alpha=\"0.02\", expect_size=\"38948864\"] \n  21 -> 27 [size =\"38948864\"]\n  21 -> 29 [size =\"38948864\"]\n  22 [size=\"56938496\", alpha=\"0.19\", expect_size=\"28469248\"] \n  22 -> 26 [size =\"28469248\"]\n  23 [size=\"57155584\", alpha=\"0.11\", expect_size=\"28577792\"] \n  23 -> 26 [size =\"28577792\"]\n  23 -> 28 [size =\"28577792\"]\n  24 [size=\"92569600\", alpha=\"0.17\", expect_size=\"46284800\"] \n  24 -> 30 [size =\"46284800\"]\n  24 -> 31 [size =\"46284800\"]\n  24 -> 33 [size =\"46284800\"]\n  24 -> 35 [size =\"46284800\"]\n  25 [size=\"29655040\", alpha=\"0.19\", expect_size=\"14827520\"] \n  25 -> 34 [size =\"14827520\"]\n  26 [size=\"87449600\", alpha=\"0.18\", expect_size=\"43724800\"] \n  26 -> 31 [size =\"43724800\"]\n  27 [size=\"54052864\", alpha=\"0.08\", expect_size=\"27026432\"] \n  27 -> 31 [size =\"27026432\"]\n  27 -> 32 [size =\"27026432\"]\n  27 -> 34 [size =\"27026432\"]\n  28 [size=\"25917440\", alpha=\"0.20\", expect_size=\"12958720\"] \n  28 -> 32 [size =\"12958720\"]\n  28 -> 33 [size =\"12958720\"]\n  28 -> 34 [size =\"12958720\"]\n  28 -> 35 [size =\"12958720\"]\n  29 [size=\"63983616\", alpha=\"0.12\", expect_size=\"31991808\"] \n  29 -> 32 [size =\"31991808\"]\n  29 -> 33 [size =\"31991808\"]\n  29 -> 35 [size =\"31991808\"]\n  30 [size=\"62052352\", alpha=\"0.19\", expect_size=\"31026176\"] \n  30 -> 39 [size =\"31026176\"]\n  30 -> 40 [size =\"31026176\"]\n  31 [size=\"101308416\", alpha=\"0.10\", expect_size=\"50654208\"] \n  31 -> 37 [size =\"50654208\"]\n  31 -> 39 [size =\"50654208\"]\n  32 [size=\"18128896\", alpha=\"0.18\", expect_size=\"9064448\"] \n  33 [size=\"12765184\", alpha=\"0.09\", expect_size=\"6382592\"] \n  33 -> 37 [size =\"6382592\"]\n  33 -> 38 [size =\"6382592\"]\n  34 [size=\"62865408\", alpha=\"0.14\", expect_size=\"31432704\"] \n  34 -> 36 [size =\"31432704\"]\n  34 -> 37 [size =\"31432704\"]\n  35 [size=\"47382528\", alpha=\"0.05\", expect_size=\"23691264\"] \n  35 -> 40 [size =\"23691264\"]\n  36 [size=\"40552448\", alpha=\"0.12\", expect_size=\"20276224\"] \n  36 -> 42 [size =\"20276224\"]\n  37 [size=\"33386496\", alpha=\"0.06\", expect_size=\"16693248\"] \n  37 -> 41 [size =\"16693248\"]\n  37 -> 44 [size =\"16693248\"]\n  37 -> 45 [size =\"16693248\"]\n  38 [size=\"72921088\", alpha=\"0.05\", expect_size=\"36460544\"] \n  38 -> 43 [size =\"36460544\"]\n  38 -> 45 [size =\"36460544\"]\n  39 [size=\"72593408\", alpha=\"0.13\", expect_size=\"36296704\"] \n  39 -> 45 [size =\"36296704\"]\n  40 [size=\"35471360\", alpha=\"0.09\", expect_size=\"17735680\"] \n  40 -> 41 [size =\"17735680\"]\n  40 -> 43 [size =\"17735680\"]\n  40 -> 44 [size =\"17735680\"]\n  41 [size=\"29267968\", alpha=\"0.20\", expect_size=\"14633984\"] \n  42 [size=\"76521472\", alpha=\"0.00\", expect_size=\"38260736\"] \n  43 [size=\"68925440\", alpha=\"0.11\", expect_size=\"34462720\"] \n  44 [size=\"18774016\", alpha=\"0.18\", expect_size=\"9387008\"] \n  45 [size=\"86519808\", alpha=\"0.10\", expect_size=\"43259904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92344320\", alpha=\"0.01\", expect_size=\"27703296\"] \n  1 -> 36 [size =\"27703296\"]\n  1 -> 39 [size =\"27703296\"]\n  2 [size=\"64249173\", alpha=\"0.12\", expect_size=\"19274752\"] \n  2 -> 43 [size =\"19274752\"]\n  3 [size=\"75963733\", alpha=\"0.03\", expect_size=\"22789120\"] \n  3 -> 36 [size =\"22789120\"]\n  3 -> 43 [size =\"22789120\"]\n  4 [size=\"86640640\", alpha=\"0.08\", expect_size=\"25992192\"] \n  4 -> 34 [size =\"25992192\"]\n  4 -> 38 [size =\"25992192\"]\n  4 -> 40 [size =\"25992192\"]\n  5 [size=\"133768533\", alpha=\"0.09\", expect_size=\"40130560\"] \n  5 -> 35 [size =\"40130560\"]\n  5 -> 38 [size =\"40130560\"]\n  5 -> 40 [size =\"40130560\"]\n  5 -> 44 [size =\"40130560\"]\n  6 [size=\"54882987\", alpha=\"0.18\", expect_size=\"16464896\"] \n  7 [size=\"83848533\", alpha=\"0.09\", expect_size=\"25154560\"] \n  7 -> 40 [size =\"25154560\"]\n  7 -> 43 [size =\"25154560\"]\n  7 -> 44 [size =\"25154560\"]\n  8 [size=\"38888107\", alpha=\"0.19\", expect_size=\"11666432\"] \n  8 -> 34 [size =\"11666432\"]\n  8 -> 36 [size =\"11666432\"]\n  8 -> 37 [size =\"11666432\"]\n  8 -> 40 [size =\"11666432\"]\n  8 -> 45 [size =\"11666432\"]\n  9 [size=\"81196373\", alpha=\"0.11\", expect_size=\"24358912\"] \n  9 -> 36 [size =\"24358912\"]\n  9 -> 39 [size =\"24358912\"]\n  9 -> 40 [size =\"24358912\"]\n  9 -> 44 [size =\"24358912\"]\n  10 [size=\"126846293\", alpha=\"0.03\", expect_size=\"38053888\"] \n  10 -> 33 [size =\"38053888\"]\n  10 -> 35 [size =\"38053888\"]\n  11 [size=\"169813333\", alpha=\"0.18\", expect_size=\"50944000\"] \n  11 -> 36 [size =\"50944000\"]\n  11 -> 45 [size =\"50944000\"]\n  12 [size=\"20329813\", alpha=\"0.01\", expect_size=\"6098944\"] \n  12 -> 35 [size =\"6098944\"]\n  12 -> 36 [size =\"6098944\"]\n  12 -> 43 [size =\"6098944\"]\n  13 [size=\"115831467\", alpha=\"0.03\", expect_size=\"34749440\"] \n  13 -> 36 [size =\"34749440\"]\n  13 -> 43 [size =\"34749440\"]\n  14 [size=\"135843840\", alpha=\"0.14\", expect_size=\"40753152\"] \n  14 -> 34 [size =\"40753152\"]\n  14 -> 35 [size =\"40753152\"]\n  14 -> 39 [size =\"40753152\"]\n  15 [size=\"37573973\", alpha=\"0.19\", expect_size=\"11272192\"] \n  15 -> 35 [size =\"11272192\"]\n  15 -> 38 [size =\"11272192\"]\n  15 -> 43 [size =\"11272192\"]\n  15 -> 44 [size =\"11272192\"]\n  16 [size=\"104454827\", alpha=\"0.06\", expect_size=\"31336448\"] \n  16 -> 35 [size =\"31336448\"]\n  16 -> 41 [size =\"31336448\"]\n  16 -> 44 [size =\"31336448\"]\n  16 -> 45 [size =\"31336448\"]\n  17 [size=\"87425707\", alpha=\"0.14\", expect_size=\"26227712\"] \n  17 -> 35 [size =\"26227712\"]\n  17 -> 44 [size =\"26227712\"]\n  17 -> 45 [size =\"26227712\"]\n  18 [size=\"158481067\", alpha=\"0.03\", expect_size=\"47544320\"] \n  18 -> 34 [size =\"47544320\"]\n  18 -> 37 [size =\"47544320\"]\n  18 -> 40 [size =\"47544320\"]\n  18 -> 45 [size =\"47544320\"]\n  19 [size=\"149387947\", alpha=\"0.12\", expect_size=\"44816384\"] \n  19 -> 34 [size =\"44816384\"]\n  19 -> 35 [size =\"44816384\"]\n  19 -> 40 [size =\"44816384\"]\n  19 -> 41 [size =\"44816384\"]\n  19 -> 43 [size =\"44816384\"]\n  19 -> 45 [size =\"44816384\"]\n  20 [size=\"79940267\", alpha=\"0.20\", expect_size=\"23982080\"] \n  20 -> 34 [size =\"23982080\"]\n  20 -> 35 [size =\"23982080\"]\n  20 -> 39 [size =\"23982080\"]\n  20 -> 40 [size =\"23982080\"]\n  20 -> 45 [size =\"23982080\"]\n  21 [size=\"103621973\", alpha=\"0.18\", expect_size=\"31086592\"] \n  21 -> 34 [size =\"31086592\"]\n  21 -> 35 [size =\"31086592\"]\n  21 -> 39 [size =\"31086592\"]\n  21 -> 44 [size =\"31086592\"]\n  21 -> 45 [size =\"31086592\"]\n  22 [size=\"90357760\", alpha=\"0.01\", expect_size=\"27107328\"] \n  22 -> 35 [size =\"27107328\"]\n  22 -> 36 [size =\"27107328\"]\n  22 -> 38 [size =\"27107328\"]\n  22 -> 39 [size =\"27107328\"]\n  22 -> 40 [size =\"27107328\"]\n  23 [size=\"97969493\", alpha=\"0.12\", expect_size=\"29390848\"] \n  23 -> 34 [size =\"29390848\"]\n  23 -> 35 [size =\"29390848\"]\n  23 -> 36 [size =\"29390848\"]\n  23 -> 40 [size =\"29390848\"]\n  23 -> 43 [size =\"29390848\"]\n  24 [size=\"124869973\", alpha=\"0.12\", expect_size=\"37460992\"] \n  24 -> 35 [size =\"37460992\"]\n  24 -> 35 [size =\"37460992\"]\n  24 -> 36 [size =\"37460992\"]\n  24 -> 45 [size =\"37460992\"]\n  25 [size=\"76025173\", alpha=\"0.07\", expect_size=\"22807552\"] \n  25 -> 35 [size =\"22807552\"]\n  25 -> 36 [size =\"22807552\"]\n  25 -> 38 [size =\"22807552\"]\n  25 -> 40 [size =\"22807552\"]\n  25 -> 42 [size =\"22807552\"]\n  25 -> 43 [size =\"22807552\"]\n  26 [size=\"71533227\", alpha=\"0.06\", expect_size=\"21459968\"] \n  26 -> 36 [size =\"21459968\"]\n  27 [size=\"119330133\", alpha=\"0.14\", expect_size=\"35799040\"] \n  27 -> 35 [size =\"35799040\"]\n  27 -> 41 [size =\"35799040\"]\n  27 -> 43 [size =\"35799040\"]\n  28 [size=\"68570453\", alpha=\"0.05\", expect_size=\"20571136\"] \n  28 -> 36 [size =\"20571136\"]\n  28 -> 40 [size =\"20571136\"]\n  28 -> 41 [size =\"20571136\"]\n  28 -> 43 [size =\"20571136\"]\n  28 -> 45 [size =\"20571136\"]\n  29 [size=\"92706133\", alpha=\"0.04\", expect_size=\"27811840\"] \n  29 -> 43 [size =\"27811840\"]\n  29 -> 44 [size =\"27811840\"]\n  29 -> 45 [size =\"27811840\"]\n  30 [size=\"26746880\", alpha=\"0.16\", expect_size=\"8024064\"] \n  30 -> 38 [size =\"8024064\"]\n  30 -> 44 [size =\"8024064\"]\n  30 -> 45 [size =\"8024064\"]\n  31 [size=\"25364480\", alpha=\"0.08\", expect_size=\"7609344\"] \n  31 -> 38 [size =\"7609344\"]\n  31 -> 39 [size =\"7609344\"]\n  31 -> 43 [size =\"7609344\"]\n  31 -> 44 [size =\"7609344\"]\n  31 -> 45 [size =\"7609344\"]\n  32 [size=\"163430400\", alpha=\"0.01\", expect_size=\"49029120\"] \n  32 -> 36 [size =\"49029120\"]\n  32 -> 39 [size =\"49029120\"]\n  32 -> 40 [size =\"49029120\"]\n  32 -> 43 [size =\"49029120\"]\n  32 -> 44 [size =\"49029120\"]\n  33 [size=\"173144747\", alpha=\"0.06\", expect_size=\"51943424\"] \n  34 [size=\"113001813\", alpha=\"0.05\", expect_size=\"33900544\"] \n  35 [size=\"52162560\", alpha=\"0.08\", expect_size=\"15648768\"] \n  36 [size=\"106922667\", alpha=\"0.01\", expect_size=\"32076800\"] \n  37 [size=\"157405867\", alpha=\"0.04\", expect_size=\"47221760\"] \n  38 [size=\"112694613\", alpha=\"0.04\", expect_size=\"33808384\"] \n  39 [size=\"151493973\", alpha=\"0.01\", expect_size=\"45448192\"] \n  40 [size=\"22947840\", alpha=\"0.06\", expect_size=\"6884352\"] \n  41 [size=\"151009280\", alpha=\"0.02\", expect_size=\"45302784\"] \n  42 [size=\"58866347\", alpha=\"0.08\", expect_size=\"17659904\"] \n  43 [size=\"63948800\", alpha=\"0.03\", expect_size=\"19184640\"] \n  44 [size=\"107325440\", alpha=\"0.13\", expect_size=\"32197632\"] \n  45 [size=\"150077440\", alpha=\"0.09\", expect_size=\"45023232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32622592\", alpha=\"0.10\", expect_size=\"16311296\"] \n  1 -> 4 [size =\"16311296\"]\n  1 -> 5 [size =\"16311296\"]\n  2 [size=\"93589504\", alpha=\"0.09\", expect_size=\"46794752\"] \n  2 -> 4 [size =\"46794752\"]\n  2 -> 5 [size =\"46794752\"]\n  3 [size=\"50962432\", alpha=\"0.17\", expect_size=\"25481216\"] \n  3 -> 5 [size =\"25481216\"]\n  4 [size=\"36673536\", alpha=\"0.04\", expect_size=\"18336768\"] \n  4 -> 6 [size =\"18336768\"]\n  4 -> 7 [size =\"18336768\"]\n  5 [size=\"19302400\", alpha=\"0.05\", expect_size=\"9651200\"] \n  5 -> 6 [size =\"9651200\"]\n  5 -> 7 [size =\"9651200\"]\n  6 [size=\"11167744\", alpha=\"0.10\", expect_size=\"5583872\"] \n  6 -> 8 [size =\"5583872\"]\n  6 -> 9 [size =\"5583872\"]\n  6 -> 10 [size =\"5583872\"]\n  7 [size=\"92792832\", alpha=\"0.10\", expect_size=\"46396416\"] \n  7 -> 8 [size =\"46396416\"]\n  7 -> 9 [size =\"46396416\"]\n  7 -> 10 [size =\"46396416\"]\n  8 [size=\"74315776\", alpha=\"0.16\", expect_size=\"37157888\"] \n  8 -> 11 [size =\"37157888\"]\n  9 [size=\"58806272\", alpha=\"0.11\", expect_size=\"29403136\"] \n  9 -> 12 [size =\"29403136\"]\n  10 [size=\"79452160\", alpha=\"0.16\", expect_size=\"39726080\"] \n  10 -> 12 [size =\"39726080\"]\n  11 [size=\"54898688\", alpha=\"0.18\", expect_size=\"27449344\"] \n  11 -> 13 [size =\"27449344\"]\n  11 -> 14 [size =\"27449344\"]\n  12 [size=\"102729728\", alpha=\"0.16\", expect_size=\"51364864\"] \n  12 -> 13 [size =\"51364864\"]\n  12 -> 14 [size =\"51364864\"]\n  13 [size=\"52254720\", alpha=\"0.03\", expect_size=\"26127360\"] \n  13 -> 15 [size =\"26127360\"]\n  13 -> 17 [size =\"26127360\"]\n  14 [size=\"38430720\", alpha=\"0.00\", expect_size=\"19215360\"] \n  14 -> 15 [size =\"19215360\"]\n  14 -> 16 [size =\"19215360\"]\n  15 [size=\"55838720\", alpha=\"0.19\", expect_size=\"27919360\"] \n  15 -> 18 [size =\"27919360\"]\n  15 -> 19 [size =\"27919360\"]\n  15 -> 20 [size =\"27919360\"]\n  16 [size=\"81635328\", alpha=\"0.07\", expect_size=\"40817664\"] \n  16 -> 19 [size =\"40817664\"]\n  17 [size=\"36460544\", alpha=\"0.09\", expect_size=\"18230272\"] \n  17 -> 18 [size =\"18230272\"]\n  18 [size=\"85030912\", alpha=\"0.14\", expect_size=\"42515456\"] \n  18 -> 21 [size =\"42515456\"]\n  18 -> 22 [size =\"42515456\"]\n  19 [size=\"65263616\", alpha=\"0.09\", expect_size=\"32631808\"] \n  19 -> 21 [size =\"32631808\"]\n  19 -> 22 [size =\"32631808\"]\n  20 [size=\"20684800\", alpha=\"0.10\", expect_size=\"10342400\"] \n  20 -> 21 [size =\"10342400\"]\n  20 -> 23 [size =\"10342400\"]\n  21 [size=\"97230848\", alpha=\"0.15\", expect_size=\"48615424\"] \n  21 -> 24 [size =\"48615424\"]\n  21 -> 25 [size =\"48615424\"]\n  22 [size=\"87599104\", alpha=\"0.19\", expect_size=\"43799552\"] \n  22 -> 24 [size =\"43799552\"]\n  22 -> 25 [size =\"43799552\"]\n  22 -> 26 [size =\"43799552\"]\n  23 [size=\"68737024\", alpha=\"0.10\", expect_size=\"34368512\"] \n  23 -> 24 [size =\"34368512\"]\n  23 -> 25 [size =\"34368512\"]\n  24 [size=\"83169280\", alpha=\"0.08\", expect_size=\"41584640\"] \n  24 -> 27 [size =\"41584640\"]\n  24 -> 28 [size =\"41584640\"]\n  25 [size=\"84041728\", alpha=\"0.07\", expect_size=\"42020864\"] \n  25 -> 28 [size =\"42020864\"]\n  26 [size=\"81315840\", alpha=\"0.06\", expect_size=\"40657920\"] \n  26 -> 27 [size =\"40657920\"]\n  27 [size=\"20738048\", alpha=\"0.03\", expect_size=\"10369024\"] \n  27 -> 29 [size =\"10369024\"]\n  28 [size=\"63322112\", alpha=\"0.14\", expect_size=\"31661056\"] \n  28 -> 30 [size =\"31661056\"]\n  29 [size=\"35141632\", alpha=\"0.14\", expect_size=\"17570816\"] \n  29 -> 31 [size =\"17570816\"]\n  29 -> 33 [size =\"17570816\"]\n  30 [size=\"76984320\", alpha=\"0.09\", expect_size=\"38492160\"] \n  30 -> 32 [size =\"38492160\"]\n  30 -> 33 [size =\"38492160\"]\n  31 [size=\"28817408\", alpha=\"0.14\", expect_size=\"14408704\"] \n  31 -> 34 [size =\"14408704\"]\n  31 -> 35 [size =\"14408704\"]\n  32 [size=\"101525504\", alpha=\"0.18\", expect_size=\"50762752\"] \n  32 -> 34 [size =\"50762752\"]\n  33 [size=\"95094784\", alpha=\"0.11\", expect_size=\"47547392\"] \n  34 [size=\"50003968\", alpha=\"0.10\", expect_size=\"25001984\"] \n  34 -> 36 [size =\"25001984\"]\n  34 -> 37 [size =\"25001984\"]\n  34 -> 38 [size =\"25001984\"]\n  35 [size=\"86812672\", alpha=\"0.19\", expect_size=\"43406336\"] \n  35 -> 36 [size =\"43406336\"]\n  35 -> 37 [size =\"43406336\"]\n  36 [size=\"25597952\", alpha=\"0.02\", expect_size=\"12798976\"] \n  36 -> 40 [size =\"12798976\"]\n  37 [size=\"55785472\", alpha=\"0.11\", expect_size=\"27892736\"] \n  37 -> 39 [size =\"27892736\"]\n  37 -> 40 [size =\"27892736\"]\n  38 [size=\"70938624\", alpha=\"0.16\", expect_size=\"35469312\"] \n  38 -> 40 [size =\"35469312\"]\n  39 [size=\"40519680\", alpha=\"0.13\", expect_size=\"20259840\"] \n  39 -> 41 [size =\"20259840\"]\n  39 -> 42 [size =\"20259840\"]\n  40 [size=\"12847104\", alpha=\"0.12\", expect_size=\"6423552\"] \n  40 -> 41 [size =\"6423552\"]\n  41 [size=\"56889344\", alpha=\"0.09\", expect_size=\"28444672\"] \n  41 -> 43 [size =\"28444672\"]\n  41 -> 44 [size =\"28444672\"]\n  42 [size=\"28317696\", alpha=\"0.02\", expect_size=\"14158848\"] \n  42 -> 43 [size =\"14158848\"]\n  43 [size=\"19378176\", alpha=\"0.08\", expect_size=\"9689088\"] \n  43 -> 45 [size =\"9689088\"]\n  44 [size=\"71839744\", alpha=\"0.09\", expect_size=\"35919872\"] \n  44 -> 45 [size =\"35919872\"]\n  45 [size=\"24903680\", alpha=\"0.06\", expect_size=\"12451840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46824960\", alpha=\"0.02\", expect_size=\"18729984\"] \n  1 -> 18 [size =\"18729984\"]\n  1 -> 20 [size =\"18729984\"]\n  2 [size=\"46993920\", alpha=\"0.19\", expect_size=\"18797568\"] \n  2 -> 20 [size =\"18797568\"]\n  2 -> 22 [size =\"18797568\"]\n  3 [size=\"32568320\", alpha=\"0.13\", expect_size=\"13027328\"] \n  3 -> 16 [size =\"13027328\"]\n  3 -> 20 [size =\"13027328\"]\n  3 -> 23 [size =\"13027328\"]\n  3 -> 24 [size =\"13027328\"]\n  4 [size=\"22791680\", alpha=\"0.02\", expect_size=\"9116672\"] \n  4 -> 17 [size =\"9116672\"]\n  4 -> 19 [size =\"9116672\"]\n  4 -> 27 [size =\"9116672\"]\n  5 [size=\"30960640\", alpha=\"0.12\", expect_size=\"12384256\"] \n  5 -> 18 [size =\"12384256\"]\n  5 -> 19 [size =\"12384256\"]\n  5 -> 27 [size =\"12384256\"]\n  6 [size=\"76661760\", alpha=\"0.02\", expect_size=\"30664704\"] \n  6 -> 17 [size =\"30664704\"]\n  6 -> 27 [size =\"30664704\"]\n  7 [size=\"103080960\", alpha=\"0.08\", expect_size=\"41232384\"] \n  7 -> 16 [size =\"41232384\"]\n  7 -> 17 [size =\"41232384\"]\n  7 -> 18 [size =\"41232384\"]\n  7 -> 24 [size =\"41232384\"]\n  7 -> 25 [size =\"41232384\"]\n  8 [size=\"114465280\", alpha=\"0.04\", expect_size=\"45786112\"] \n  8 -> 18 [size =\"45786112\"]\n  8 -> 20 [size =\"45786112\"]\n  8 -> 26 [size =\"45786112\"]\n  8 -> 27 [size =\"45786112\"]\n  9 [size=\"63662080\", alpha=\"0.08\", expect_size=\"25464832\"] \n  9 -> 18 [size =\"25464832\"]\n  9 -> 26 [size =\"25464832\"]\n  9 -> 26 [size =\"25464832\"]\n  10 [size=\"125698560\", alpha=\"0.01\", expect_size=\"50279424\"] \n  10 -> 17 [size =\"50279424\"]\n  10 -> 18 [size =\"50279424\"]\n  10 -> 20 [size =\"50279424\"]\n  10 -> 23 [size =\"50279424\"]\n  10 -> 24 [size =\"50279424\"]\n  10 -> 26 [size =\"50279424\"]\n  11 [size=\"13158400\", alpha=\"0.05\", expect_size=\"5263360\"] \n  11 -> 15 [size =\"5263360\"]\n  11 -> 17 [size =\"5263360\"]\n  11 -> 19 [size =\"5263360\"]\n  11 -> 20 [size =\"5263360\"]\n  11 -> 24 [size =\"5263360\"]\n  11 -> 26 [size =\"5263360\"]\n  12 [size=\"22307840\", alpha=\"0.07\", expect_size=\"8923136\"] \n  12 -> 19 [size =\"8923136\"]\n  12 -> 21 [size =\"8923136\"]\n  12 -> 24 [size =\"8923136\"]\n  12 -> 26 [size =\"8923136\"]\n  13 [size=\"17881600\", alpha=\"0.19\", expect_size=\"7152640\"] \n  13 -> 20 [size =\"7152640\"]\n  13 -> 23 [size =\"7152640\"]\n  14 [size=\"91648000\", alpha=\"0.03\", expect_size=\"36659200\"] \n  14 -> 18 [size =\"36659200\"]\n  14 -> 23 [size =\"36659200\"]\n  14 -> 24 [size =\"36659200\"]\n  14 -> 26 [size =\"36659200\"]\n  15 [size=\"106145280\", alpha=\"0.09\", expect_size=\"42458112\"] \n  15 -> 33 [size =\"42458112\"]\n  15 -> 34 [size =\"42458112\"]\n  15 -> 41 [size =\"42458112\"]\n  15 -> 42 [size =\"42458112\"]\n  16 [size=\"59983360\", alpha=\"0.03\", expect_size=\"23993344\"] \n  16 -> 30 [size =\"23993344\"]\n  16 -> 35 [size =\"23993344\"]\n  16 -> 40 [size =\"23993344\"]\n  16 -> 42 [size =\"23993344\"]\n  17 [size=\"71170560\", alpha=\"0.06\", expect_size=\"28468224\"] \n  17 -> 29 [size =\"28468224\"]\n  17 -> 37 [size =\"28468224\"]\n  17 -> 38 [size =\"28468224\"]\n  17 -> 42 [size =\"28468224\"]\n  18 [size=\"118417920\", alpha=\"0.01\", expect_size=\"47367168\"] \n  18 -> 29 [size =\"47367168\"]\n  18 -> 34 [size =\"47367168\"]\n  18 -> 36 [size =\"47367168\"]\n  18 -> 41 [size =\"47367168\"]\n  19 [size=\"26019840\", alpha=\"0.10\", expect_size=\"10407936\"] \n  19 -> 31 [size =\"10407936\"]\n  19 -> 37 [size =\"10407936\"]\n  19 -> 38 [size =\"10407936\"]\n  19 -> 40 [size =\"10407936\"]\n  20 [size=\"71326720\", alpha=\"0.08\", expect_size=\"28530688\"] \n  20 -> 33 [size =\"28530688\"]\n  20 -> 38 [size =\"28530688\"]\n  20 -> 39 [size =\"28530688\"]\n  20 -> 42 [size =\"28530688\"]\n  21 [size=\"79905280\", alpha=\"0.11\", expect_size=\"31962112\"] \n  21 -> 31 [size =\"31962112\"]\n  21 -> 32 [size =\"31962112\"]\n  21 -> 33 [size =\"31962112\"]\n  21 -> 37 [size =\"31962112\"]\n  21 -> 42 [size =\"31962112\"]\n  22 [size=\"110077440\", alpha=\"0.00\", expect_size=\"44030976\"] \n  22 -> 29 [size =\"44030976\"]\n  22 -> 30 [size =\"44030976\"]\n  22 -> 37 [size =\"44030976\"]\n  22 -> 40 [size =\"44030976\"]\n  22 -> 41 [size =\"44030976\"]\n  23 [size=\"33681920\", alpha=\"0.12\", expect_size=\"13472768\"] \n  23 -> 28 [size =\"13472768\"]\n  23 -> 33 [size =\"13472768\"]\n  23 -> 38 [size =\"13472768\"]\n  23 -> 40 [size =\"13472768\"]\n  24 [size=\"26941440\", alpha=\"0.06\", expect_size=\"10776576\"] \n  24 -> 28 [size =\"10776576\"]\n  24 -> 30 [size =\"10776576\"]\n  24 -> 41 [size =\"10776576\"]\n  24 -> 42 [size =\"10776576\"]\n  25 [size=\"44902400\", alpha=\"0.04\", expect_size=\"17960960\"] \n  25 -> 28 [size =\"17960960\"]\n  25 -> 30 [size =\"17960960\"]\n  25 -> 37 [size =\"17960960\"]\n  25 -> 40 [size =\"17960960\"]\n  25 -> 41 [size =\"17960960\"]\n  26 [size=\"98119680\", alpha=\"0.11\", expect_size=\"39247872\"] \n  26 -> 28 [size =\"39247872\"]\n  26 -> 29 [size =\"39247872\"]\n  26 -> 30 [size =\"39247872\"]\n  26 -> 36 [size =\"39247872\"]\n  27 [size=\"117813760\", alpha=\"0.14\", expect_size=\"47125504\"] \n  27 -> 29 [size =\"47125504\"]\n  28 [size=\"34339840\", alpha=\"0.15\", expect_size=\"13735936\"] \n  28 -> 44 [size =\"13735936\"]\n  28 -> 45 [size =\"13735936\"]\n  29 [size=\"39262720\", alpha=\"0.04\", expect_size=\"15705088\"] \n  30 [size=\"97994240\", alpha=\"0.12\", expect_size=\"39197696\"] \n  30 -> 43 [size =\"39197696\"]\n  31 [size=\"24821760\", alpha=\"0.20\", expect_size=\"9928704\"] \n  31 -> 43 [size =\"9928704\"]\n  32 [size=\"89390080\", alpha=\"0.09\", expect_size=\"35756032\"] \n  32 -> 44 [size =\"35756032\"]\n  33 [size=\"89664000\", alpha=\"0.19\", expect_size=\"35865600\"] \n  33 -> 44 [size =\"35865600\"]\n  34 [size=\"45102080\", alpha=\"0.03\", expect_size=\"18040832\"] \n  34 -> 43 [size =\"18040832\"]\n  35 [size=\"83356160\", alpha=\"0.02\", expect_size=\"33342464\"] \n  35 -> 44 [size =\"33342464\"]\n  36 [size=\"104314880\", alpha=\"0.10\", expect_size=\"41725952\"] \n  37 [size=\"53570560\", alpha=\"0.07\", expect_size=\"21428224\"] \n  38 [size=\"21096960\", alpha=\"0.02\", expect_size=\"8438784\"] \n  39 [size=\"108252160\", alpha=\"0.19\", expect_size=\"43300864\"] \n  40 [size=\"129666560\", alpha=\"0.06\", expect_size=\"51866624\"] \n  40 -> 43 [size =\"51866624\"]\n  41 [size=\"79961600\", alpha=\"0.05\", expect_size=\"31984640\"] \n  42 [size=\"77158400\", alpha=\"0.20\", expect_size=\"30863360\"] \n  43 [size=\"130457600\", alpha=\"0.18\", expect_size=\"52183040\"] \n  44 [size=\"126671360\", alpha=\"0.19\", expect_size=\"50668544\"] \n  45 [size=\"26373120\", alpha=\"0.05\", expect_size=\"10549248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142312107\", alpha=\"0.13\", expect_size=\"42693632\"] \n  1 -> 32 [size =\"42693632\"]\n  1 -> 38 [size =\"42693632\"]\n  1 -> 42 [size =\"42693632\"]\n  1 -> 44 [size =\"42693632\"]\n  2 [size=\"37034667\", alpha=\"0.08\", expect_size=\"11110400\"] \n  2 -> 34 [size =\"11110400\"]\n  2 -> 40 [size =\"11110400\"]\n  2 -> 41 [size =\"11110400\"]\n  3 [size=\"128686080\", alpha=\"0.14\", expect_size=\"38605824\"] \n  3 -> 34 [size =\"38605824\"]\n  3 -> 35 [size =\"38605824\"]\n  3 -> 37 [size =\"38605824\"]\n  3 -> 38 [size =\"38605824\"]\n  4 [size=\"161174187\", alpha=\"0.14\", expect_size=\"48352256\"] \n  4 -> 33 [size =\"48352256\"]\n  4 -> 41 [size =\"48352256\"]\n  4 -> 43 [size =\"48352256\"]\n  5 [size=\"47633067\", alpha=\"0.00\", expect_size=\"14289920\"] \n  5 -> 36 [size =\"14289920\"]\n  5 -> 43 [size =\"14289920\"]\n  6 [size=\"68816213\", alpha=\"0.07\", expect_size=\"20644864\"] \n  6 -> 38 [size =\"20644864\"]\n  6 -> 41 [size =\"20644864\"]\n  7 [size=\"73997653\", alpha=\"0.13\", expect_size=\"22199296\"] \n  7 -> 34 [size =\"22199296\"]\n  7 -> 38 [size =\"22199296\"]\n  7 -> 42 [size =\"22199296\"]\n  8 [size=\"75089920\", alpha=\"0.06\", expect_size=\"22526976\"] \n  8 -> 38 [size =\"22526976\"]\n  8 -> 38 [size =\"22526976\"]\n  8 -> 41 [size =\"22526976\"]\n  8 -> 42 [size =\"22526976\"]\n  9 [size=\"122446507\", alpha=\"0.02\", expect_size=\"36733952\"] \n  9 -> 34 [size =\"36733952\"]\n  9 -> 39 [size =\"36733952\"]\n  9 -> 42 [size =\"36733952\"]\n  10 [size=\"109062827\", alpha=\"0.17\", expect_size=\"32718848\"] \n  10 -> 34 [size =\"32718848\"]\n  10 -> 35 [size =\"32718848\"]\n  10 -> 37 [size =\"32718848\"]\n  10 -> 38 [size =\"32718848\"]\n  10 -> 44 [size =\"32718848\"]\n  11 [size=\"70027947\", alpha=\"0.01\", expect_size=\"21008384\"] \n  11 -> 33 [size =\"21008384\"]\n  11 -> 34 [size =\"21008384\"]\n  11 -> 37 [size =\"21008384\"]\n  11 -> 38 [size =\"21008384\"]\n  11 -> 39 [size =\"21008384\"]\n  11 -> 42 [size =\"21008384\"]\n  12 [size=\"172902400\", alpha=\"0.07\", expect_size=\"51870720\"] \n  12 -> 33 [size =\"51870720\"]\n  13 [size=\"75014827\", alpha=\"0.10\", expect_size=\"22504448\"] \n  13 -> 35 [size =\"22504448\"]\n  13 -> 36 [size =\"22504448\"]\n  13 -> 38 [size =\"22504448\"]\n  13 -> 39 [size =\"22504448\"]\n  13 -> 41 [size =\"22504448\"]\n  13 -> 42 [size =\"22504448\"]\n  14 [size=\"25391787\", alpha=\"0.18\", expect_size=\"7617536\"] \n  14 -> 33 [size =\"7617536\"]\n  15 [size=\"133382827\", alpha=\"0.09\", expect_size=\"40014848\"] \n  15 -> 33 [size =\"40014848\"]\n  15 -> 35 [size =\"40014848\"]\n  15 -> 39 [size =\"40014848\"]\n  15 -> 44 [size =\"40014848\"]\n  16 [size=\"135881387\", alpha=\"0.19\", expect_size=\"40764416\"] \n  16 -> 34 [size =\"40764416\"]\n  16 -> 35 [size =\"40764416\"]\n  16 -> 39 [size =\"40764416\"]\n  16 -> 42 [size =\"40764416\"]\n  16 -> 44 [size =\"40764416\"]\n  17 [size=\"35901440\", alpha=\"0.13\", expect_size=\"10770432\"] \n  17 -> 33 [size =\"10770432\"]\n  17 -> 38 [size =\"10770432\"]\n  17 -> 39 [size =\"10770432\"]\n  17 -> 41 [size =\"10770432\"]\n  17 -> 42 [size =\"10770432\"]\n  17 -> 43 [size =\"10770432\"]\n  17 -> 45 [size =\"10770432\"]\n  18 [size=\"141424640\", alpha=\"0.00\", expect_size=\"42427392\"] \n  18 -> 32 [size =\"42427392\"]\n  18 -> 33 [size =\"42427392\"]\n  18 -> 37 [size =\"42427392\"]\n  18 -> 42 [size =\"42427392\"]\n  18 -> 42 [size =\"42427392\"]\n  18 -> 45 [size =\"42427392\"]\n  19 [size=\"34658987\", alpha=\"0.03\", expect_size=\"10397696\"] \n  20 [size=\"53203627\", alpha=\"0.05\", expect_size=\"15961088\"] \n  20 -> 33 [size =\"15961088\"]\n  20 -> 34 [size =\"15961088\"]\n  20 -> 39 [size =\"15961088\"]\n  20 -> 41 [size =\"15961088\"]\n  20 -> 44 [size =\"15961088\"]\n  21 [size=\"31433387\", alpha=\"0.03\", expect_size=\"9430016\"] \n  21 -> 33 [size =\"9430016\"]\n  21 -> 42 [size =\"9430016\"]\n  22 [size=\"39137280\", alpha=\"0.04\", expect_size=\"11741184\"] \n  22 -> 33 [size =\"11741184\"]\n  22 -> 34 [size =\"11741184\"]\n  22 -> 36 [size =\"11741184\"]\n  22 -> 37 [size =\"11741184\"]\n  22 -> 39 [size =\"11741184\"]\n  22 -> 44 [size =\"11741184\"]\n  23 [size=\"94177280\", alpha=\"0.19\", expect_size=\"28253184\"] \n  23 -> 34 [size =\"28253184\"]\n  23 -> 44 [size =\"28253184\"]\n  24 [size=\"170192213\", alpha=\"0.12\", expect_size=\"51057664\"] \n  24 -> 34 [size =\"51057664\"]\n  24 -> 37 [size =\"51057664\"]\n  24 -> 38 [size =\"51057664\"]\n  24 -> 44 [size =\"51057664\"]\n  25 [size=\"156501333\", alpha=\"0.09\", expect_size=\"46950400\"] \n  25 -> 33 [size =\"46950400\"]\n  25 -> 38 [size =\"46950400\"]\n  25 -> 41 [size =\"46950400\"]\n  25 -> 43 [size =\"46950400\"]\n  25 -> 44 [size =\"46950400\"]\n  25 -> 45 [size =\"46950400\"]\n  26 [size=\"71089493\", alpha=\"0.12\", expect_size=\"21326848\"] \n  26 -> 38 [size =\"21326848\"]\n  26 -> 42 [size =\"21326848\"]\n  26 -> 44 [size =\"21326848\"]\n  27 [size=\"63880533\", alpha=\"0.03\", expect_size=\"19164160\"] \n  27 -> 33 [size =\"19164160\"]\n  27 -> 37 [size =\"19164160\"]\n  27 -> 38 [size =\"19164160\"]\n  27 -> 41 [size =\"19164160\"]\n  27 -> 42 [size =\"19164160\"]\n  27 -> 44 [size =\"19164160\"]\n  28 [size=\"167642453\", alpha=\"0.01\", expect_size=\"50292736\"] \n  28 -> 33 [size =\"50292736\"]\n  28 -> 37 [size =\"50292736\"]\n  28 -> 41 [size =\"50292736\"]\n  28 -> 43 [size =\"50292736\"]\n  29 [size=\"171069440\", alpha=\"0.13\", expect_size=\"51320832\"] \n  29 -> 33 [size =\"51320832\"]\n  29 -> 35 [size =\"51320832\"]\n  29 -> 41 [size =\"51320832\"]\n  29 -> 44 [size =\"51320832\"]\n  30 [size=\"34532693\", alpha=\"0.16\", expect_size=\"10359808\"] \n  30 -> 33 [size =\"10359808\"]\n  30 -> 35 [size =\"10359808\"]\n  30 -> 38 [size =\"10359808\"]\n  30 -> 39 [size =\"10359808\"]\n  30 -> 44 [size =\"10359808\"]\n  30 -> 45 [size =\"10359808\"]\n  31 [size=\"73908907\", alpha=\"0.05\", expect_size=\"22172672\"] \n  31 -> 34 [size =\"22172672\"]\n  31 -> 35 [size =\"22172672\"]\n  31 -> 42 [size =\"22172672\"]\n  31 -> 43 [size =\"22172672\"]\n  31 -> 45 [size =\"22172672\"]\n  32 [size=\"99471360\", alpha=\"0.15\", expect_size=\"29841408\"] \n  33 [size=\"130771627\", alpha=\"0.12\", expect_size=\"39231488\"] \n  34 [size=\"121739947\", alpha=\"0.09\", expect_size=\"36521984\"] \n  35 [size=\"58784427\", alpha=\"0.02\", expect_size=\"17635328\"] \n  36 [size=\"129358507\", alpha=\"0.09\", expect_size=\"38807552\"] \n  37 [size=\"70222507\", alpha=\"0.19\", expect_size=\"21066752\"] \n  38 [size=\"95191040\", alpha=\"0.05\", expect_size=\"28557312\"] \n  39 [size=\"104591360\", alpha=\"0.13\", expect_size=\"31377408\"] \n  40 [size=\"46110720\", alpha=\"0.05\", expect_size=\"13833216\"] \n  41 [size=\"168625493\", alpha=\"0.19\", expect_size=\"50587648\"] \n  42 [size=\"52831573\", alpha=\"0.16\", expect_size=\"15849472\"] \n  43 [size=\"168724480\", alpha=\"0.03\", expect_size=\"50617344\"] \n  44 [size=\"101990400\", alpha=\"0.09\", expect_size=\"30597120\"] \n  45 [size=\"17831253\", alpha=\"0.13\", expect_size=\"5349376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95539200\", alpha=\"0.01\", expect_size=\"47769600\"] \n  1 -> 39 [size =\"47769600\"]\n  1 -> 41 [size =\"47769600\"]\n  2 [size=\"16977920\", alpha=\"0.19\", expect_size=\"8488960\"] \n  2 -> 41 [size =\"8488960\"]\n  2 -> 41 [size =\"8488960\"]\n  2 -> 45 [size =\"8488960\"]\n  3 [size=\"40826880\", alpha=\"0.04\", expect_size=\"20413440\"] \n  3 -> 40 [size =\"20413440\"]\n  3 -> 45 [size =\"20413440\"]\n  4 [size=\"33294336\", alpha=\"0.16\", expect_size=\"16647168\"] \n  4 -> 40 [size =\"16647168\"]\n  4 -> 41 [size =\"16647168\"]\n  4 -> 42 [size =\"16647168\"]\n  5 [size=\"74680320\", alpha=\"0.18\", expect_size=\"37340160\"] \n  5 -> 40 [size =\"37340160\"]\n  5 -> 45 [size =\"37340160\"]\n  6 [size=\"91781120\", alpha=\"0.04\", expect_size=\"45890560\"] \n  6 -> 41 [size =\"45890560\"]\n  6 -> 42 [size =\"45890560\"]\n  6 -> 45 [size =\"45890560\"]\n  7 [size=\"11624448\", alpha=\"0.02\", expect_size=\"5812224\"] \n  7 -> 40 [size =\"5812224\"]\n  7 -> 41 [size =\"5812224\"]\n  7 -> 44 [size =\"5812224\"]\n  7 -> 45 [size =\"5812224\"]\n  8 [size=\"68837376\", alpha=\"0.06\", expect_size=\"34418688\"] \n  8 -> 39 [size =\"34418688\"]\n  8 -> 40 [size =\"34418688\"]\n  8 -> 42 [size =\"34418688\"]\n  8 -> 45 [size =\"34418688\"]\n  9 [size=\"19812352\", alpha=\"0.06\", expect_size=\"9906176\"] \n  9 -> 39 [size =\"9906176\"]\n  9 -> 41 [size =\"9906176\"]\n  9 -> 45 [size =\"9906176\"]\n  9 -> 45 [size =\"9906176\"]\n  10 [size=\"31666176\", alpha=\"0.06\", expect_size=\"15833088\"] \n  10 -> 39 [size =\"15833088\"]\n  10 -> 41 [size =\"15833088\"]\n  11 [size=\"39313408\", alpha=\"0.02\", expect_size=\"19656704\"] \n  11 -> 39 [size =\"19656704\"]\n  11 -> 41 [size =\"19656704\"]\n  11 -> 45 [size =\"19656704\"]\n  12 [size=\"41740288\", alpha=\"0.03\", expect_size=\"20870144\"] \n  12 -> 41 [size =\"20870144\"]\n  12 -> 42 [size =\"20870144\"]\n  13 [size=\"39098368\", alpha=\"0.09\", expect_size=\"19549184\"] \n  13 -> 40 [size =\"19549184\"]\n  13 -> 41 [size =\"19549184\"]\n  13 -> 45 [size =\"19549184\"]\n  14 [size=\"58777600\", alpha=\"0.04\", expect_size=\"29388800\"] \n  14 -> 40 [size =\"29388800\"]\n  14 -> 41 [size =\"29388800\"]\n  14 -> 45 [size =\"29388800\"]\n  15 [size=\"39534592\", alpha=\"0.13\", expect_size=\"19767296\"] \n  15 -> 43 [size =\"19767296\"]\n  16 [size=\"28790784\", alpha=\"0.11\", expect_size=\"14395392\"] \n  16 -> 42 [size =\"14395392\"]\n  16 -> 43 [size =\"14395392\"]\n  16 -> 45 [size =\"14395392\"]\n  17 [size=\"47314944\", alpha=\"0.17\", expect_size=\"23657472\"] \n  17 -> 39 [size =\"23657472\"]\n  17 -> 40 [size =\"23657472\"]\n  17 -> 41 [size =\"23657472\"]\n  17 -> 42 [size =\"23657472\"]\n  17 -> 43 [size =\"23657472\"]\n  17 -> 45 [size =\"23657472\"]\n  18 [size=\"55451648\", alpha=\"0.14\", expect_size=\"27725824\"] \n  18 -> 40 [size =\"27725824\"]\n  18 -> 40 [size =\"27725824\"]\n  18 -> 42 [size =\"27725824\"]\n  18 -> 45 [size =\"27725824\"]\n  19 [size=\"82927616\", alpha=\"0.14\", expect_size=\"41463808\"] \n  19 -> 39 [size =\"41463808\"]\n  19 -> 40 [size =\"41463808\"]\n  20 [size=\"18391040\", alpha=\"0.01\", expect_size=\"9195520\"] \n  20 -> 39 [size =\"9195520\"]\n  20 -> 42 [size =\"9195520\"]\n  20 -> 43 [size =\"9195520\"]\n  20 -> 44 [size =\"9195520\"]\n  20 -> 45 [size =\"9195520\"]\n  21 [size=\"44691456\", alpha=\"0.06\", expect_size=\"22345728\"] \n  21 -> 40 [size =\"22345728\"]\n  21 -> 41 [size =\"22345728\"]\n  21 -> 43 [size =\"22345728\"]\n  21 -> 45 [size =\"22345728\"]\n  22 [size=\"54951936\", alpha=\"0.13\", expect_size=\"27475968\"] \n  22 -> 40 [size =\"27475968\"]\n  22 -> 42 [size =\"27475968\"]\n  22 -> 43 [size =\"27475968\"]\n  23 [size=\"67649536\", alpha=\"0.06\", expect_size=\"33824768\"] \n  23 -> 40 [size =\"33824768\"]\n  23 -> 41 [size =\"33824768\"]\n  23 -> 43 [size =\"33824768\"]\n  23 -> 45 [size =\"33824768\"]\n  24 [size=\"14852096\", alpha=\"0.04\", expect_size=\"7426048\"] \n  24 -> 41 [size =\"7426048\"]\n  24 -> 43 [size =\"7426048\"]\n  24 -> 43 [size =\"7426048\"]\n  24 -> 44 [size =\"7426048\"]\n  25 [size=\"31522816\", alpha=\"0.15\", expect_size=\"15761408\"] \n  25 -> 43 [size =\"15761408\"]\n  26 [size=\"92346368\", alpha=\"0.04\", expect_size=\"46173184\"] \n  26 -> 41 [size =\"46173184\"]\n  26 -> 43 [size =\"46173184\"]\n  26 -> 44 [size =\"46173184\"]\n  27 [size=\"48332800\", alpha=\"0.13\", expect_size=\"24166400\"] \n  27 -> 42 [size =\"24166400\"]\n  28 [size=\"34570240\", alpha=\"0.15\", expect_size=\"17285120\"] \n  28 -> 40 [size =\"17285120\"]\n  28 -> 45 [size =\"17285120\"]\n  29 [size=\"99055616\", alpha=\"0.18\", expect_size=\"49527808\"] \n  29 -> 41 [size =\"49527808\"]\n  29 -> 45 [size =\"49527808\"]\n  30 [size=\"70164480\", alpha=\"0.06\", expect_size=\"35082240\"] \n  30 -> 45 [size =\"35082240\"]\n  30 -> 45 [size =\"35082240\"]\n  31 [size=\"75421696\", alpha=\"0.20\", expect_size=\"37710848\"] \n  31 -> 41 [size =\"37710848\"]\n  31 -> 45 [size =\"37710848\"]\n  32 [size=\"11137024\", alpha=\"0.00\", expect_size=\"5568512\"] \n  32 -> 41 [size =\"5568512\"]\n  32 -> 45 [size =\"5568512\"]\n  33 [size=\"72548352\", alpha=\"0.07\", expect_size=\"36274176\"] \n  33 -> 40 [size =\"36274176\"]\n  33 -> 42 [size =\"36274176\"]\n  34 [size=\"101253120\", alpha=\"0.04\", expect_size=\"50626560\"] \n  34 -> 41 [size =\"50626560\"]\n  34 -> 44 [size =\"50626560\"]\n  35 [size=\"25692160\", alpha=\"0.07\", expect_size=\"12846080\"] \n  35 -> 42 [size =\"12846080\"]\n  36 [size=\"98803712\", alpha=\"0.13\", expect_size=\"49401856\"] \n  36 -> 41 [size =\"49401856\"]\n  36 -> 45 [size =\"49401856\"]\n  37 [size=\"24395776\", alpha=\"0.08\", expect_size=\"12197888\"] \n  37 -> 40 [size =\"12197888\"]\n  37 -> 45 [size =\"12197888\"]\n  38 [size=\"86726656\", alpha=\"0.12\", expect_size=\"43363328\"] \n  38 -> 44 [size =\"43363328\"]\n  39 [size=\"61032448\", alpha=\"0.12\", expect_size=\"30516224\"] \n  40 [size=\"51011584\", alpha=\"0.13\", expect_size=\"25505792\"] \n  41 [size=\"77846528\", alpha=\"0.02\", expect_size=\"38923264\"] \n  42 [size=\"75993088\", alpha=\"0.20\", expect_size=\"37996544\"] \n  43 [size=\"76709888\", alpha=\"0.10\", expect_size=\"38354944\"] \n  44 [size=\"14233600\", alpha=\"0.01\", expect_size=\"7116800\"] \n  45 [size=\"31234048\", alpha=\"0.16\", expect_size=\"15617024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60160000\", alpha=\"0.03\", expect_size=\"18048000\"] \n  1 -> 4 [size =\"18048000\"]\n  2 [size=\"162914987\", alpha=\"0.17\", expect_size=\"48874496\"] \n  2 -> 5 [size =\"48874496\"]\n  3 [size=\"62115840\", alpha=\"0.10\", expect_size=\"18634752\"] \n  3 -> 4 [size =\"18634752\"]\n  3 -> 5 [size =\"18634752\"]\n  4 [size=\"158542507\", alpha=\"0.17\", expect_size=\"47562752\"] \n  4 -> 6 [size =\"47562752\"]\n  4 -> 8 [size =\"47562752\"]\n  5 [size=\"31474347\", alpha=\"0.05\", expect_size=\"9442304\"] \n  5 -> 6 [size =\"9442304\"]\n  5 -> 7 [size =\"9442304\"]\n  5 -> 8 [size =\"9442304\"]\n  6 [size=\"111104000\", alpha=\"0.13\", expect_size=\"33331200\"] \n  6 -> 10 [size =\"33331200\"]\n  7 [size=\"34044587\", alpha=\"0.14\", expect_size=\"10213376\"] \n  7 -> 9 [size =\"10213376\"]\n  7 -> 10 [size =\"10213376\"]\n  8 [size=\"101990400\", alpha=\"0.08\", expect_size=\"30597120\"] \n  9 [size=\"112175787\", alpha=\"0.16\", expect_size=\"33652736\"] \n  9 -> 11 [size =\"33652736\"]\n  9 -> 12 [size =\"33652736\"]\n  10 [size=\"59071147\", alpha=\"0.11\", expect_size=\"17721344\"] \n  11 [size=\"41519787\", alpha=\"0.01\", expect_size=\"12455936\"] \n  11 -> 13 [size =\"12455936\"]\n  11 -> 15 [size =\"12455936\"]\n  12 [size=\"65822720\", alpha=\"0.11\", expect_size=\"19746816\"] \n  12 -> 14 [size =\"19746816\"]\n  13 [size=\"43376640\", alpha=\"0.06\", expect_size=\"13012992\"] \n  13 -> 17 [size =\"13012992\"]\n  14 [size=\"124183893\", alpha=\"0.16\", expect_size=\"37255168\"] \n  14 -> 17 [size =\"37255168\"]\n  15 [size=\"99925333\", alpha=\"0.19\", expect_size=\"29977600\"] \n  15 -> 16 [size =\"29977600\"]\n  15 -> 18 [size =\"29977600\"]\n  16 [size=\"139352747\", alpha=\"0.11\", expect_size=\"41805824\"] \n  16 -> 19 [size =\"41805824\"]\n  16 -> 20 [size =\"41805824\"]\n  17 [size=\"82971307\", alpha=\"0.19\", expect_size=\"24891392\"] \n  18 [size=\"35771733\", alpha=\"0.06\", expect_size=\"10731520\"] \n  18 -> 20 [size =\"10731520\"]\n  19 [size=\"102263467\", alpha=\"0.04\", expect_size=\"30679040\"] \n  19 -> 21 [size =\"30679040\"]\n  20 [size=\"73434453\", alpha=\"0.09\", expect_size=\"22030336\"] \n  20 -> 22 [size =\"22030336\"]\n  21 [size=\"161378987\", alpha=\"0.20\", expect_size=\"48413696\"] \n  21 -> 23 [size =\"48413696\"]\n  21 -> 24 [size =\"48413696\"]\n  21 -> 25 [size =\"48413696\"]\n  22 [size=\"172506453\", alpha=\"0.09\", expect_size=\"51751936\"] \n  22 -> 23 [size =\"51751936\"]\n  22 -> 25 [size =\"51751936\"]\n  23 [size=\"102126933\", alpha=\"0.04\", expect_size=\"30638080\"] \n  23 -> 26 [size =\"30638080\"]\n  23 -> 27 [size =\"30638080\"]\n  24 [size=\"147787093\", alpha=\"0.17\", expect_size=\"44336128\"] \n  24 -> 27 [size =\"44336128\"]\n  25 [size=\"112766293\", alpha=\"0.11\", expect_size=\"33829888\"] \n  25 -> 28 [size =\"33829888\"]\n  26 [size=\"103516160\", alpha=\"0.18\", expect_size=\"31054848\"] \n  26 -> 29 [size =\"31054848\"]\n  27 [size=\"36266667\", alpha=\"0.07\", expect_size=\"10880000\"] \n  28 [size=\"28160000\", alpha=\"0.06\", expect_size=\"8448000\"] \n  28 -> 29 [size =\"8448000\"]\n  28 -> 30 [size =\"8448000\"]\n  29 [size=\"74775893\", alpha=\"0.17\", expect_size=\"22432768\"] \n  29 -> 33 [size =\"22432768\"]\n  30 [size=\"102983680\", alpha=\"0.14\", expect_size=\"30895104\"] \n  30 -> 31 [size =\"30895104\"]\n  30 -> 32 [size =\"30895104\"]\n  31 [size=\"173049173\", alpha=\"0.14\", expect_size=\"51914752\"] \n  31 -> 34 [size =\"51914752\"]\n  32 [size=\"170366293\", alpha=\"0.20\", expect_size=\"51109888\"] \n  32 -> 35 [size =\"51109888\"]\n  33 [size=\"83090773\", alpha=\"0.09\", expect_size=\"24927232\"] \n  33 -> 34 [size =\"24927232\"]\n  33 -> 35 [size =\"24927232\"]\n  34 [size=\"113152000\", alpha=\"0.12\", expect_size=\"33945600\"] \n  34 -> 36 [size =\"33945600\"]\n  34 -> 37 [size =\"33945600\"]\n  34 -> 38 [size =\"33945600\"]\n  35 [size=\"87043413\", alpha=\"0.05\", expect_size=\"26113024\"] \n  36 [size=\"18763093\", alpha=\"0.14\", expect_size=\"5628928\"] \n  36 -> 39 [size =\"5628928\"]\n  37 [size=\"159232000\", alpha=\"0.11\", expect_size=\"47769600\"] \n  37 -> 40 [size =\"47769600\"]\n  38 [size=\"53155840\", alpha=\"0.10\", expect_size=\"15946752\"] \n  38 -> 39 [size =\"15946752\"]\n  39 [size=\"99621547\", alpha=\"0.01\", expect_size=\"29886464\"] \n  39 -> 41 [size =\"29886464\"]\n  39 -> 42 [size =\"29886464\"]\n  40 [size=\"78762667\", alpha=\"0.18\", expect_size=\"23628800\"] \n  40 -> 42 [size =\"23628800\"]\n  40 -> 43 [size =\"23628800\"]\n  41 [size=\"32170667\", alpha=\"0.14\", expect_size=\"9651200\"] \n  41 -> 45 [size =\"9651200\"]\n  42 [size=\"141178880\", alpha=\"0.09\", expect_size=\"42353664\"] \n  42 -> 44 [size =\"42353664\"]\n  42 -> 45 [size =\"42353664\"]\n  43 [size=\"139560960\", alpha=\"0.15\", expect_size=\"41868288\"] \n  44 [size=\"53217280\", alpha=\"0.18\", expect_size=\"15965184\"] \n  45 [size=\"146148693\", alpha=\"0.12\", expect_size=\"43844608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55715840\", alpha=\"0.07\", expect_size=\"16714752\"] \n  1 -> 6 [size =\"16714752\"]\n  1 -> 7 [size =\"16714752\"]\n  1 -> 9 [size =\"16714752\"]\n  2 [size=\"95996587\", alpha=\"0.16\", expect_size=\"28798976\"] \n  2 -> 6 [size =\"28798976\"]\n  2 -> 7 [size =\"28798976\"]\n  2 -> 8 [size =\"28798976\"]\n  2 -> 9 [size =\"28798976\"]\n  3 [size=\"113073493\", alpha=\"0.13\", expect_size=\"33922048\"] \n  3 -> 8 [size =\"33922048\"]\n  4 [size=\"149265067\", alpha=\"0.01\", expect_size=\"44779520\"] \n  4 -> 6 [size =\"44779520\"]\n  5 [size=\"78906027\", alpha=\"0.15\", expect_size=\"23671808\"] \n  5 -> 6 [size =\"23671808\"]\n  5 -> 9 [size =\"23671808\"]\n  6 [size=\"48947200\", alpha=\"0.06\", expect_size=\"14684160\"] \n  6 -> 10 [size =\"14684160\"]\n  6 -> 11 [size =\"14684160\"]\n  7 [size=\"45213013\", alpha=\"0.16\", expect_size=\"13563904\"] \n  8 [size=\"107188907\", alpha=\"0.19\", expect_size=\"32156672\"] \n  8 -> 10 [size =\"32156672\"]\n  8 -> 11 [size =\"32156672\"]\n  9 [size=\"124190720\", alpha=\"0.18\", expect_size=\"37257216\"] \n  9 -> 12 [size =\"37257216\"]\n  10 [size=\"40376320\", alpha=\"0.08\", expect_size=\"12112896\"] \n  10 -> 13 [size =\"12112896\"]\n  10 -> 15 [size =\"12112896\"]\n  11 [size=\"141271040\", alpha=\"0.06\", expect_size=\"42381312\"] \n  12 [size=\"37092693\", alpha=\"0.09\", expect_size=\"11127808\"] \n  12 -> 14 [size =\"11127808\"]\n  13 [size=\"163252907\", alpha=\"0.07\", expect_size=\"48975872\"] \n  13 -> 17 [size =\"48975872\"]\n  13 -> 18 [size =\"48975872\"]\n  13 -> 20 [size =\"48975872\"]\n  13 -> 22 [size =\"48975872\"]\n  14 [size=\"109339307\", alpha=\"0.03\", expect_size=\"32801792\"] \n  14 -> 16 [size =\"32801792\"]\n  14 -> 17 [size =\"32801792\"]\n  14 -> 18 [size =\"32801792\"]\n  14 -> 19 [size =\"32801792\"]\n  14 -> 20 [size =\"32801792\"]\n  14 -> 22 [size =\"32801792\"]\n  15 [size=\"114397867\", alpha=\"0.05\", expect_size=\"34319360\"] \n  15 -> 16 [size =\"34319360\"]\n  15 -> 17 [size =\"34319360\"]\n  15 -> 21 [size =\"34319360\"]\n  15 -> 22 [size =\"34319360\"]\n  16 [size=\"73734827\", alpha=\"0.04\", expect_size=\"22120448\"] \n  16 -> 23 [size =\"22120448\"]\n  16 -> 24 [size =\"22120448\"]\n  16 -> 26 [size =\"22120448\"]\n  16 -> 27 [size =\"22120448\"]\n  16 -> 28 [size =\"22120448\"]\n  16 -> 30 [size =\"22120448\"]\n  17 [size=\"118664533\", alpha=\"0.03\", expect_size=\"35599360\"] \n  17 -> 24 [size =\"35599360\"]\n  17 -> 25 [size =\"35599360\"]\n  17 -> 26 [size =\"35599360\"]\n  17 -> 28 [size =\"35599360\"]\n  17 -> 30 [size =\"35599360\"]\n  18 [size=\"90033493\", alpha=\"0.07\", expect_size=\"27010048\"] \n  18 -> 23 [size =\"27010048\"]\n  18 -> 25 [size =\"27010048\"]\n  18 -> 26 [size =\"27010048\"]\n  18 -> 27 [size =\"27010048\"]\n  18 -> 28 [size =\"27010048\"]\n  18 -> 30 [size =\"27010048\"]\n  19 [size=\"78783147\", alpha=\"0.07\", expect_size=\"23634944\"] \n  19 -> 23 [size =\"23634944\"]\n  19 -> 24 [size =\"23634944\"]\n  19 -> 26 [size =\"23634944\"]\n  19 -> 28 [size =\"23634944\"]\n  19 -> 28 [size =\"23634944\"]\n  19 -> 29 [size =\"23634944\"]\n  20 [size=\"59746987\", alpha=\"0.09\", expect_size=\"17924096\"] \n  20 -> 24 [size =\"17924096\"]\n  20 -> 25 [size =\"17924096\"]\n  20 -> 26 [size =\"17924096\"]\n  20 -> 29 [size =\"17924096\"]\n  21 [size=\"125897387\", alpha=\"0.16\", expect_size=\"37769216\"] \n  21 -> 23 [size =\"37769216\"]\n  21 -> 24 [size =\"37769216\"]\n  21 -> 26 [size =\"37769216\"]\n  21 -> 28 [size =\"37769216\"]\n  22 [size=\"174288213\", alpha=\"0.13\", expect_size=\"52286464\"] \n  22 -> 23 [size =\"52286464\"]\n  22 -> 24 [size =\"52286464\"]\n  22 -> 26 [size =\"52286464\"]\n  23 [size=\"88046933\", alpha=\"0.02\", expect_size=\"26414080\"] \n  23 -> 31 [size =\"26414080\"]\n  23 -> 35 [size =\"26414080\"]\n  24 [size=\"145780053\", alpha=\"0.09\", expect_size=\"43734016\"] \n  24 -> 32 [size =\"43734016\"]\n  24 -> 33 [size =\"43734016\"]\n  24 -> 35 [size =\"43734016\"]\n  25 [size=\"171690667\", alpha=\"0.02\", expect_size=\"51507200\"] \n  25 -> 32 [size =\"51507200\"]\n  25 -> 34 [size =\"51507200\"]\n  25 -> 35 [size =\"51507200\"]\n  26 [size=\"55743147\", alpha=\"0.00\", expect_size=\"16722944\"] \n  26 -> 31 [size =\"16722944\"]\n  27 [size=\"86405120\", alpha=\"0.02\", expect_size=\"25921536\"] \n  27 -> 31 [size =\"25921536\"]\n  27 -> 34 [size =\"25921536\"]\n  27 -> 35 [size =\"25921536\"]\n  28 [size=\"112762880\", alpha=\"0.14\", expect_size=\"33828864\"] \n  28 -> 31 [size =\"33828864\"]\n  28 -> 32 [size =\"33828864\"]\n  28 -> 33 [size =\"33828864\"]\n  28 -> 34 [size =\"33828864\"]\n  28 -> 35 [size =\"33828864\"]\n  29 [size=\"171246933\", alpha=\"0.01\", expect_size=\"51374080\"] \n  29 -> 31 [size =\"51374080\"]\n  29 -> 33 [size =\"51374080\"]\n  30 [size=\"66771627\", alpha=\"0.10\", expect_size=\"20031488\"] \n  30 -> 34 [size =\"20031488\"]\n  31 [size=\"137413973\", alpha=\"0.15\", expect_size=\"41224192\"] \n  31 -> 36 [size =\"41224192\"]\n  32 [size=\"106847573\", alpha=\"0.02\", expect_size=\"32054272\"] \n  32 -> 37 [size =\"32054272\"]\n  33 [size=\"53596160\", alpha=\"0.08\", expect_size=\"16078848\"] \n  33 -> 37 [size =\"16078848\"]\n  34 [size=\"73250133\", alpha=\"0.06\", expect_size=\"21975040\"] \n  34 -> 36 [size =\"21975040\"]\n  34 -> 37 [size =\"21975040\"]\n  35 [size=\"140315307\", alpha=\"0.16\", expect_size=\"42094592\"] \n  35 -> 37 [size =\"42094592\"]\n  35 -> 37 [size =\"42094592\"]\n  35 -> 38 [size =\"42094592\"]\n  36 [size=\"158941867\", alpha=\"0.13\", expect_size=\"47682560\"] \n  36 -> 39 [size =\"47682560\"]\n  36 -> 40 [size =\"47682560\"]\n  36 -> 41 [size =\"47682560\"]\n  36 -> 42 [size =\"47682560\"]\n  36 -> 43 [size =\"47682560\"]\n  36 -> 44 [size =\"47682560\"]\n  37 [size=\"160597333\", alpha=\"0.03\", expect_size=\"48179200\"] \n  37 -> 39 [size =\"48179200\"]\n  37 -> 41 [size =\"48179200\"]\n  37 -> 42 [size =\"48179200\"]\n  37 -> 42 [size =\"48179200\"]\n  37 -> 43 [size =\"48179200\"]\n  37 -> 44 [size =\"48179200\"]\n  38 [size=\"173025280\", alpha=\"0.03\", expect_size=\"51907584\"] \n  38 -> 39 [size =\"51907584\"]\n  38 -> 41 [size =\"51907584\"]\n  38 -> 43 [size =\"51907584\"]\n  38 -> 44 [size =\"51907584\"]\n  39 [size=\"128651947\", alpha=\"0.10\", expect_size=\"38595584\"] \n  40 [size=\"134191787\", alpha=\"0.02\", expect_size=\"40257536\"] \n  41 [size=\"55265280\", alpha=\"0.09\", expect_size=\"16579584\"] \n  42 [size=\"172953600\", alpha=\"0.15\", expect_size=\"51886080\"] \n  43 [size=\"35010560\", alpha=\"0.10\", expect_size=\"10503168\"] \n  44 [size=\"101792427\", alpha=\"0.01\", expect_size=\"30537728\"] \n  44 -> 45 [size =\"30537728\"]\n  45 [size=\"150592853\", alpha=\"0.12\", expect_size=\"45177856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32107520\", alpha=\"0.15\", expect_size=\"12843008\"] \n  1 -> 8 [size =\"12843008\"]\n  1 -> 10 [size =\"12843008\"]\n  1 -> 11 [size =\"12843008\"]\n  2 [size=\"39162880\", alpha=\"0.02\", expect_size=\"15665152\"] \n  2 -> 7 [size =\"15665152\"]\n  2 -> 11 [size =\"15665152\"]\n  2 -> 11 [size =\"15665152\"]\n  3 [size=\"88496640\", alpha=\"0.20\", expect_size=\"35398656\"] \n  3 -> 7 [size =\"35398656\"]\n  3 -> 9 [size =\"35398656\"]\n  3 -> 12 [size =\"35398656\"]\n  4 [size=\"67123200\", alpha=\"0.04\", expect_size=\"26849280\"] \n  4 -> 12 [size =\"26849280\"]\n  5 [size=\"126233600\", alpha=\"0.06\", expect_size=\"50493440\"] \n  5 -> 7 [size =\"50493440\"]\n  6 [size=\"55569920\", alpha=\"0.14\", expect_size=\"22227968\"] \n  6 -> 10 [size =\"22227968\"]\n  6 -> 11 [size =\"22227968\"]\n  7 [size=\"116313600\", alpha=\"0.18\", expect_size=\"46525440\"] \n  8 [size=\"87175680\", alpha=\"0.10\", expect_size=\"34870272\"] \n  8 -> 16 [size =\"34870272\"]\n  8 -> 17 [size =\"34870272\"]\n  9 [size=\"35612160\", alpha=\"0.15\", expect_size=\"14244864\"] \n  9 -> 16 [size =\"14244864\"]\n  10 [size=\"51409920\", alpha=\"0.09\", expect_size=\"20563968\"] \n  10 -> 16 [size =\"20563968\"]\n  10 -> 18 [size =\"20563968\"]\n  11 [size=\"21547520\", alpha=\"0.06\", expect_size=\"8619008\"] \n  11 -> 13 [size =\"8619008\"]\n  11 -> 14 [size =\"8619008\"]\n  11 -> 15 [size =\"8619008\"]\n  11 -> 16 [size =\"8619008\"]\n  11 -> 18 [size =\"8619008\"]\n  12 [size=\"112488960\", alpha=\"0.19\", expect_size=\"44995584\"] \n  12 -> 13 [size =\"44995584\"]\n  12 -> 17 [size =\"44995584\"]\n  13 [size=\"125864960\", alpha=\"0.13\", expect_size=\"50345984\"] \n  13 -> 20 [size =\"50345984\"]\n  14 [size=\"123952640\", alpha=\"0.14\", expect_size=\"49581056\"] \n  14 -> 20 [size =\"49581056\"]\n  14 -> 21 [size =\"49581056\"]\n  14 -> 22 [size =\"49581056\"]\n  15 [size=\"26864640\", alpha=\"0.08\", expect_size=\"10745856\"] \n  15 -> 19 [size =\"10745856\"]\n  15 -> 20 [size =\"10745856\"]\n  15 -> 22 [size =\"10745856\"]\n  15 -> 23 [size =\"10745856\"]\n  16 [size=\"63997440\", alpha=\"0.12\", expect_size=\"25598976\"] \n  16 -> 19 [size =\"25598976\"]\n  16 -> 20 [size =\"25598976\"]\n  16 -> 21 [size =\"25598976\"]\n  16 -> 22 [size =\"25598976\"]\n  17 [size=\"26375680\", alpha=\"0.06\", expect_size=\"10550272\"] \n  17 -> 19 [size =\"10550272\"]\n  17 -> 22 [size =\"10550272\"]\n  18 [size=\"13204480\", alpha=\"0.18\", expect_size=\"5281792\"] \n  18 -> 19 [size =\"5281792\"]\n  18 -> 21 [size =\"5281792\"]\n  18 -> 22 [size =\"5281792\"]\n  18 -> 23 [size =\"5281792\"]\n  19 [size=\"72724480\", alpha=\"0.04\", expect_size=\"29089792\"] \n  19 -> 24 [size =\"29089792\"]\n  19 -> 26 [size =\"29089792\"]\n  19 -> 27 [size =\"29089792\"]\n  19 -> 28 [size =\"29089792\"]\n  20 [size=\"44341760\", alpha=\"0.08\", expect_size=\"17736704\"] \n  20 -> 24 [size =\"17736704\"]\n  20 -> 26 [size =\"17736704\"]\n  21 [size=\"98181120\", alpha=\"0.15\", expect_size=\"39272448\"] \n  21 -> 26 [size =\"39272448\"]\n  21 -> 27 [size =\"39272448\"]\n  22 [size=\"130808320\", alpha=\"0.07\", expect_size=\"52323328\"] \n  22 -> 24 [size =\"52323328\"]\n  22 -> 27 [size =\"52323328\"]\n  22 -> 28 [size =\"52323328\"]\n  23 [size=\"122329600\", alpha=\"0.12\", expect_size=\"48931840\"] \n  23 -> 24 [size =\"48931840\"]\n  23 -> 25 [size =\"48931840\"]\n  23 -> 28 [size =\"48931840\"]\n  24 [size=\"82572800\", alpha=\"0.05\", expect_size=\"33029120\"] \n  24 -> 32 [size =\"33029120\"]\n  24 -> 33 [size =\"33029120\"]\n  24 -> 34 [size =\"33029120\"]\n  25 [size=\"49876480\", alpha=\"0.18\", expect_size=\"19950592\"] \n  25 -> 29 [size =\"19950592\"]\n  25 -> 30 [size =\"19950592\"]\n  25 -> 31 [size =\"19950592\"]\n  25 -> 34 [size =\"19950592\"]\n  26 [size=\"95034880\", alpha=\"0.18\", expect_size=\"38013952\"] \n  26 -> 29 [size =\"38013952\"]\n  26 -> 32 [size =\"38013952\"]\n  27 [size=\"48629760\", alpha=\"0.16\", expect_size=\"19451904\"] \n  27 -> 29 [size =\"19451904\"]\n  28 [size=\"85294080\", alpha=\"0.06\", expect_size=\"34117632\"] \n  28 -> 34 [size =\"34117632\"]\n  29 [size=\"72739840\", alpha=\"0.20\", expect_size=\"29095936\"] \n  29 -> 37 [size =\"29095936\"]\n  29 -> 39 [size =\"29095936\"]\n  29 -> 40 [size =\"29095936\"]\n  30 [size=\"96117760\", alpha=\"0.00\", expect_size=\"38447104\"] \n  30 -> 35 [size =\"38447104\"]\n  30 -> 36 [size =\"38447104\"]\n  30 -> 37 [size =\"38447104\"]\n  30 -> 38 [size =\"38447104\"]\n  31 [size=\"25584640\", alpha=\"0.02\", expect_size=\"10233856\"] \n  31 -> 35 [size =\"10233856\"]\n  31 -> 36 [size =\"10233856\"]\n  31 -> 37 [size =\"10233856\"]\n  31 -> 40 [size =\"10233856\"]\n  32 [size=\"116075520\", alpha=\"0.01\", expect_size=\"46430208\"] \n  32 -> 35 [size =\"46430208\"]\n  32 -> 36 [size =\"46430208\"]\n  32 -> 37 [size =\"46430208\"]\n  32 -> 38 [size =\"46430208\"]\n  32 -> 40 [size =\"46430208\"]\n  33 [size=\"39751680\", alpha=\"0.18\", expect_size=\"15900672\"] \n  33 -> 35 [size =\"15900672\"]\n  33 -> 38 [size =\"15900672\"]\n  33 -> 40 [size =\"15900672\"]\n  34 [size=\"107932160\", alpha=\"0.15\", expect_size=\"43172864\"] \n  34 -> 35 [size =\"43172864\"]\n  34 -> 38 [size =\"43172864\"]\n  35 [size=\"20746240\", alpha=\"0.14\", expect_size=\"8298496\"] \n  35 -> 43 [size =\"8298496\"]\n  36 [size=\"127244800\", alpha=\"0.01\", expect_size=\"50897920\"] \n  36 -> 41 [size =\"50897920\"]\n  36 -> 42 [size =\"50897920\"]\n  36 -> 44 [size =\"50897920\"]\n  37 [size=\"116001280\", alpha=\"0.11\", expect_size=\"46400512\"] \n  37 -> 41 [size =\"46400512\"]\n  37 -> 42 [size =\"46400512\"]\n  38 [size=\"90222080\", alpha=\"0.01\", expect_size=\"36088832\"] \n  38 -> 41 [size =\"36088832\"]\n  38 -> 45 [size =\"36088832\"]\n  39 [size=\"123980800\", alpha=\"0.01\", expect_size=\"49592320\"] \n  39 -> 41 [size =\"49592320\"]\n  39 -> 42 [size =\"49592320\"]\n  39 -> 45 [size =\"49592320\"]\n  40 [size=\"121815040\", alpha=\"0.06\", expect_size=\"48726016\"] \n  40 -> 43 [size =\"48726016\"]\n  40 -> 45 [size =\"48726016\"]\n  41 [size=\"122032640\", alpha=\"0.06\", expect_size=\"48813056\"] \n  42 [size=\"15106560\", alpha=\"0.05\", expect_size=\"6042624\"] \n  43 [size=\"18383360\", alpha=\"0.04\", expect_size=\"7353344\"] \n  44 [size=\"126661120\", alpha=\"0.13\", expect_size=\"50664448\"] \n  45 [size=\"96885760\", alpha=\"0.10\", expect_size=\"38754304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67829760\", alpha=\"0.19\", expect_size=\"20348928\"] \n  1 -> 7 [size =\"20348928\"]\n  1 -> 8 [size =\"20348928\"]\n  1 -> 10 [size =\"20348928\"]\n  2 [size=\"172127573\", alpha=\"0.07\", expect_size=\"51638272\"] \n  2 -> 7 [size =\"51638272\"]\n  3 [size=\"105021440\", alpha=\"0.19\", expect_size=\"31506432\"] \n  3 -> 10 [size =\"31506432\"]\n  3 -> 11 [size =\"31506432\"]\n  4 [size=\"119592960\", alpha=\"0.09\", expect_size=\"35877888\"] \n  4 -> 8 [size =\"35877888\"]\n  4 -> 9 [size =\"35877888\"]\n  5 [size=\"120896853\", alpha=\"0.15\", expect_size=\"36269056\"] \n  6 [size=\"139601920\", alpha=\"0.04\", expect_size=\"41880576\"] \n  6 -> 7 [size =\"41880576\"]\n  6 -> 8 [size =\"41880576\"]\n  7 [size=\"27511467\", alpha=\"0.17\", expect_size=\"8253440\"] \n  7 -> 12 [size =\"8253440\"]\n  7 -> 13 [size =\"8253440\"]\n  7 -> 14 [size =\"8253440\"]\n  8 [size=\"72065707\", alpha=\"0.09\", expect_size=\"21619712\"] \n  8 -> 15 [size =\"21619712\"]\n  9 [size=\"128768000\", alpha=\"0.06\", expect_size=\"38630400\"] \n  9 -> 12 [size =\"38630400\"]\n  9 -> 15 [size =\"38630400\"]\n  10 [size=\"69601280\", alpha=\"0.06\", expect_size=\"20880384\"] \n  11 [size=\"78083413\", alpha=\"0.13\", expect_size=\"23425024\"] \n  11 -> 12 [size =\"23425024\"]\n  11 -> 13 [size =\"23425024\"]\n  12 [size=\"69546667\", alpha=\"0.06\", expect_size=\"20864000\"] \n  12 -> 16 [size =\"20864000\"]\n  12 -> 17 [size =\"20864000\"]\n  12 -> 18 [size =\"20864000\"]\n  12 -> 19 [size =\"20864000\"]\n  12 -> 20 [size =\"20864000\"]\n  12 -> 22 [size =\"20864000\"]\n  12 -> 23 [size =\"20864000\"]\n  13 [size=\"122695680\", alpha=\"0.18\", expect_size=\"36808704\"] \n  13 -> 20 [size =\"36808704\"]\n  14 [size=\"115527680\", alpha=\"0.16\", expect_size=\"34658304\"] \n  14 -> 22 [size =\"34658304\"]\n  15 [size=\"30064640\", alpha=\"0.01\", expect_size=\"9019392\"] \n  15 -> 19 [size =\"9019392\"]\n  15 -> 21 [size =\"9019392\"]\n  16 [size=\"144558080\", alpha=\"0.00\", expect_size=\"43367424\"] \n  16 -> 24 [size =\"43367424\"]\n  16 -> 26 [size =\"43367424\"]\n  17 [size=\"174202880\", alpha=\"0.01\", expect_size=\"52260864\"] \n  17 -> 26 [size =\"52260864\"]\n  18 [size=\"151005867\", alpha=\"0.13\", expect_size=\"45301760\"] \n  18 -> 24 [size =\"45301760\"]\n  18 -> 28 [size =\"45301760\"]\n  19 [size=\"63832747\", alpha=\"0.09\", expect_size=\"19149824\"] \n  19 -> 28 [size =\"19149824\"]\n  20 [size=\"109414400\", alpha=\"0.14\", expect_size=\"32824320\"] \n  20 -> 28 [size =\"32824320\"]\n  21 [size=\"153767253\", alpha=\"0.07\", expect_size=\"46130176\"] \n  21 -> 25 [size =\"46130176\"]\n  21 -> 29 [size =\"46130176\"]\n  22 [size=\"100194987\", alpha=\"0.19\", expect_size=\"30058496\"] \n  23 [size=\"150708907\", alpha=\"0.02\", expect_size=\"45212672\"] \n  23 -> 27 [size =\"45212672\"]\n  23 -> 28 [size =\"45212672\"]\n  24 [size=\"132205227\", alpha=\"0.18\", expect_size=\"39661568\"] \n  24 -> 31 [size =\"39661568\"]\n  24 -> 32 [size =\"39661568\"]\n  24 -> 33 [size =\"39661568\"]\n  25 [size=\"98826240\", alpha=\"0.07\", expect_size=\"29647872\"] \n  26 [size=\"108165120\", alpha=\"0.12\", expect_size=\"32449536\"] \n  26 -> 34 [size =\"32449536\"]\n  27 [size=\"109230080\", alpha=\"0.18\", expect_size=\"32769024\"] \n  27 -> 30 [size =\"32769024\"]\n  27 -> 34 [size =\"32769024\"]\n  28 [size=\"119705600\", alpha=\"0.11\", expect_size=\"35911680\"] \n  28 -> 30 [size =\"35911680\"]\n  28 -> 31 [size =\"35911680\"]\n  28 -> 32 [size =\"35911680\"]\n  28 -> 34 [size =\"35911680\"]\n  29 [size=\"61341013\", alpha=\"0.18\", expect_size=\"18402304\"] \n  29 -> 30 [size =\"18402304\"]\n  29 -> 32 [size =\"18402304\"]\n  30 [size=\"128245760\", alpha=\"0.12\", expect_size=\"38473728\"] \n  30 -> 38 [size =\"38473728\"]\n  30 -> 39 [size =\"38473728\"]\n  31 [size=\"84094293\", alpha=\"0.13\", expect_size=\"25228288\"] \n  31 -> 35 [size =\"25228288\"]\n  31 -> 41 [size =\"25228288\"]\n  32 [size=\"136523093\", alpha=\"0.01\", expect_size=\"40956928\"] \n  32 -> 40 [size =\"40956928\"]\n  32 -> 41 [size =\"40956928\"]\n  32 -> 42 [size =\"40956928\"]\n  33 [size=\"125617493\", alpha=\"0.03\", expect_size=\"37685248\"] \n  33 -> 40 [size =\"37685248\"]\n  33 -> 41 [size =\"37685248\"]\n  33 -> 42 [size =\"37685248\"]\n  34 [size=\"138919253\", alpha=\"0.16\", expect_size=\"41675776\"] \n  34 -> 36 [size =\"41675776\"]\n  34 -> 37 [size =\"41675776\"]\n  35 [size=\"121265493\", alpha=\"0.12\", expect_size=\"36379648\"] \n  35 -> 44 [size =\"36379648\"]\n  35 -> 45 [size =\"36379648\"]\n  36 [size=\"18793813\", alpha=\"0.04\", expect_size=\"5638144\"] \n  36 -> 43 [size =\"5638144\"]\n  37 [size=\"110912853\", alpha=\"0.15\", expect_size=\"33273856\"] \n  37 -> 43 [size =\"33273856\"]\n  38 [size=\"93095253\", alpha=\"0.04\", expect_size=\"27928576\"] \n  38 -> 43 [size =\"27928576\"]\n  39 [size=\"19927040\", alpha=\"0.18\", expect_size=\"5978112\"] \n  40 [size=\"159986347\", alpha=\"0.04\", expect_size=\"47995904\"] \n  41 [size=\"93545813\", alpha=\"0.08\", expect_size=\"28063744\"] \n  41 -> 44 [size =\"28063744\"]\n  42 [size=\"38498987\", alpha=\"0.02\", expect_size=\"11549696\"] \n  43 [size=\"46916267\", alpha=\"0.13\", expect_size=\"14074880\"] \n  44 [size=\"66734080\", alpha=\"0.19\", expect_size=\"20020224\"] \n  45 [size=\"38714027\", alpha=\"0.14\", expect_size=\"11614208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138280960\", alpha=\"0.16\", expect_size=\"41484288\"] \n  1 -> 5 [size =\"41484288\"]\n  1 -> 6 [size =\"41484288\"]\n  1 -> 7 [size =\"41484288\"]\n  1 -> 8 [size =\"41484288\"]\n  1 -> 9 [size =\"41484288\"]\n  1 -> 10 [size =\"41484288\"]\n  1 -> 12 [size =\"41484288\"]\n  2 [size=\"23749973\", alpha=\"0.04\", expect_size=\"7124992\"] \n  2 -> 5 [size =\"7124992\"]\n  2 -> 6 [size =\"7124992\"]\n  2 -> 7 [size =\"7124992\"]\n  2 -> 9 [size =\"7124992\"]\n  2 -> 10 [size =\"7124992\"]\n  2 -> 11 [size =\"7124992\"]\n  2 -> 12 [size =\"7124992\"]\n  3 [size=\"35802453\", alpha=\"0.07\", expect_size=\"10740736\"] \n  3 -> 7 [size =\"10740736\"]\n  3 -> 9 [size =\"10740736\"]\n  3 -> 10 [size =\"10740736\"]\n  3 -> 12 [size =\"10740736\"]\n  4 [size=\"92890453\", alpha=\"0.20\", expect_size=\"27867136\"] \n  4 -> 5 [size =\"27867136\"]\n  4 -> 6 [size =\"27867136\"]\n  4 -> 7 [size =\"27867136\"]\n  4 -> 8 [size =\"27867136\"]\n  4 -> 9 [size =\"27867136\"]\n  4 -> 10 [size =\"27867136\"]\n  4 -> 11 [size =\"27867136\"]\n  4 -> 12 [size =\"27867136\"]\n  5 [size=\"32467627\", alpha=\"0.14\", expect_size=\"9740288\"] \n  5 -> 15 [size =\"9740288\"]\n  5 -> 16 [size =\"9740288\"]\n  5 -> 17 [size =\"9740288\"]\n  5 -> 19 [size =\"9740288\"]\n  6 [size=\"31959040\", alpha=\"0.03\", expect_size=\"9587712\"] \n  6 -> 13 [size =\"9587712\"]\n  6 -> 14 [size =\"9587712\"]\n  6 -> 15 [size =\"9587712\"]\n  6 -> 16 [size =\"9587712\"]\n  6 -> 19 [size =\"9587712\"]\n  7 [size=\"140506453\", alpha=\"0.11\", expect_size=\"42151936\"] \n  7 -> 13 [size =\"42151936\"]\n  7 -> 14 [size =\"42151936\"]\n  7 -> 15 [size =\"42151936\"]\n  7 -> 16 [size =\"42151936\"]\n  7 -> 18 [size =\"42151936\"]\n  8 [size=\"133993813\", alpha=\"0.18\", expect_size=\"40198144\"] \n  8 -> 13 [size =\"40198144\"]\n  8 -> 14 [size =\"40198144\"]\n  8 -> 15 [size =\"40198144\"]\n  8 -> 18 [size =\"40198144\"]\n  8 -> 18 [size =\"40198144\"]\n  9 [size=\"116060160\", alpha=\"0.16\", expect_size=\"34818048\"] \n  9 -> 13 [size =\"34818048\"]\n  9 -> 14 [size =\"34818048\"]\n  9 -> 18 [size =\"34818048\"]\n  10 [size=\"37147307\", alpha=\"0.04\", expect_size=\"11144192\"] \n  10 -> 14 [size =\"11144192\"]\n  10 -> 18 [size =\"11144192\"]\n  11 [size=\"89446400\", alpha=\"0.04\", expect_size=\"26833920\"] \n  11 -> 13 [size =\"26833920\"]\n  11 -> 14 [size =\"26833920\"]\n  11 -> 15 [size =\"26833920\"]\n  11 -> 16 [size =\"26833920\"]\n  11 -> 18 [size =\"26833920\"]\n  12 [size=\"55562240\", alpha=\"0.03\", expect_size=\"16668672\"] \n  12 -> 13 [size =\"16668672\"]\n  12 -> 14 [size =\"16668672\"]\n  12 -> 15 [size =\"16668672\"]\n  13 [size=\"88698880\", alpha=\"0.06\", expect_size=\"26609664\"] \n  13 -> 20 [size =\"26609664\"]\n  13 -> 23 [size =\"26609664\"]\n  13 -> 24 [size =\"26609664\"]\n  13 -> 25 [size =\"26609664\"]\n  13 -> 26 [size =\"26609664\"]\n  14 [size=\"142103893\", alpha=\"0.14\", expect_size=\"42631168\"] \n  14 -> 22 [size =\"42631168\"]\n  14 -> 24 [size =\"42631168\"]\n  14 -> 25 [size =\"42631168\"]\n  15 [size=\"140813653\", alpha=\"0.10\", expect_size=\"42244096\"] \n  15 -> 22 [size =\"42244096\"]\n  15 -> 24 [size =\"42244096\"]\n  15 -> 26 [size =\"42244096\"]\n  16 [size=\"95187627\", alpha=\"0.03\", expect_size=\"28556288\"] \n  16 -> 24 [size =\"28556288\"]\n  16 -> 24 [size =\"28556288\"]\n  16 -> 26 [size =\"28556288\"]\n  17 [size=\"115203413\", alpha=\"0.15\", expect_size=\"34561024\"] \n  17 -> 21 [size =\"34561024\"]\n  17 -> 26 [size =\"34561024\"]\n  18 [size=\"45793280\", alpha=\"0.01\", expect_size=\"13737984\"] \n  18 -> 22 [size =\"13737984\"]\n  19 [size=\"28320427\", alpha=\"0.03\", expect_size=\"8496128\"] \n  19 -> 20 [size =\"8496128\"]\n  19 -> 21 [size =\"8496128\"]\n  19 -> 24 [size =\"8496128\"]\n  19 -> 26 [size =\"8496128\"]\n  19 -> 27 [size =\"8496128\"]\n  20 [size=\"151121920\", alpha=\"0.12\", expect_size=\"45336576\"] \n  20 -> 28 [size =\"45336576\"]\n  20 -> 30 [size =\"45336576\"]\n  20 -> 31 [size =\"45336576\"]\n  20 -> 32 [size =\"45336576\"]\n  21 [size=\"24657920\", alpha=\"0.17\", expect_size=\"7397376\"] \n  21 -> 28 [size =\"7397376\"]\n  21 -> 30 [size =\"7397376\"]\n  21 -> 31 [size =\"7397376\"]\n  21 -> 32 [size =\"7397376\"]\n  22 [size=\"53131947\", alpha=\"0.02\", expect_size=\"15939584\"] \n  22 -> 28 [size =\"15939584\"]\n  22 -> 29 [size =\"15939584\"]\n  22 -> 31 [size =\"15939584\"]\n  22 -> 32 [size =\"15939584\"]\n  23 [size=\"73564160\", alpha=\"0.10\", expect_size=\"22069248\"] \n  23 -> 28 [size =\"22069248\"]\n  23 -> 30 [size =\"22069248\"]\n  23 -> 32 [size =\"22069248\"]\n  23 -> 32 [size =\"22069248\"]\n  24 [size=\"117261653\", alpha=\"0.08\", expect_size=\"35178496\"] \n  24 -> 28 [size =\"35178496\"]\n  24 -> 32 [size =\"35178496\"]\n  25 [size=\"72731307\", alpha=\"0.07\", expect_size=\"21819392\"] \n  25 -> 28 [size =\"21819392\"]\n  25 -> 30 [size =\"21819392\"]\n  25 -> 31 [size =\"21819392\"]\n  26 [size=\"147732480\", alpha=\"0.08\", expect_size=\"44319744\"] \n  26 -> 28 [size =\"44319744\"]\n  26 -> 30 [size =\"44319744\"]\n  26 -> 31 [size =\"44319744\"]\n  27 [size=\"171298133\", alpha=\"0.05\", expect_size=\"51389440\"] \n  27 -> 28 [size =\"51389440\"]\n  27 -> 30 [size =\"51389440\"]\n  27 -> 31 [size =\"51389440\"]\n  27 -> 32 [size =\"51389440\"]\n  28 [size=\"129331200\", alpha=\"0.16\", expect_size=\"38799360\"] \n  28 -> 33 [size =\"38799360\"]\n  28 -> 34 [size =\"38799360\"]\n  28 -> 35 [size =\"38799360\"]\n  28 -> 37 [size =\"38799360\"]\n  29 [size=\"134656000\", alpha=\"0.00\", expect_size=\"40396800\"] \n  29 -> 33 [size =\"40396800\"]\n  29 -> 34 [size =\"40396800\"]\n  29 -> 35 [size =\"40396800\"]\n  29 -> 37 [size =\"40396800\"]\n  30 [size=\"159658667\", alpha=\"0.07\", expect_size=\"47897600\"] \n  30 -> 33 [size =\"47897600\"]\n  30 -> 34 [size =\"47897600\"]\n  30 -> 36 [size =\"47897600\"]\n  31 [size=\"100154027\", alpha=\"0.03\", expect_size=\"30046208\"] \n  31 -> 33 [size =\"30046208\"]\n  31 -> 35 [size =\"30046208\"]\n  32 [size=\"76946773\", alpha=\"0.03\", expect_size=\"23084032\"] \n  32 -> 33 [size =\"23084032\"]\n  32 -> 35 [size =\"23084032\"]\n  32 -> 36 [size =\"23084032\"]\n  32 -> 37 [size =\"23084032\"]\n  33 [size=\"96317440\", alpha=\"0.13\", expect_size=\"28895232\"] \n  33 -> 38 [size =\"28895232\"]\n  33 -> 40 [size =\"28895232\"]\n  33 -> 41 [size =\"28895232\"]\n  34 [size=\"19305813\", alpha=\"0.18\", expect_size=\"5791744\"] \n  34 -> 39 [size =\"5791744\"]\n  34 -> 40 [size =\"5791744\"]\n  34 -> 41 [size =\"5791744\"]\n  34 -> 42 [size =\"5791744\"]\n  35 [size=\"78615893\", alpha=\"0.19\", expect_size=\"23584768\"] \n  35 -> 38 [size =\"23584768\"]\n  35 -> 40 [size =\"23584768\"]\n  36 [size=\"131956053\", alpha=\"0.10\", expect_size=\"39586816\"] \n  36 -> 38 [size =\"39586816\"]\n  37 [size=\"36519253\", alpha=\"0.14\", expect_size=\"10955776\"] \n  37 -> 38 [size =\"10955776\"]\n  37 -> 39 [size =\"10955776\"]\n  38 [size=\"72625493\", alpha=\"0.01\", expect_size=\"21787648\"] \n  39 [size=\"42216107\", alpha=\"0.09\", expect_size=\"12664832\"] \n  39 -> 43 [size =\"12664832\"]\n  39 -> 44 [size =\"12664832\"]\n  39 -> 45 [size =\"12664832\"]\n  40 [size=\"43885227\", alpha=\"0.15\", expect_size=\"13165568\"] \n  40 -> 43 [size =\"13165568\"]\n  40 -> 45 [size =\"13165568\"]\n  41 [size=\"97300480\", alpha=\"0.01\", expect_size=\"29190144\"] \n  41 -> 43 [size =\"29190144\"]\n  42 [size=\"117149013\", alpha=\"0.12\", expect_size=\"35144704\"] \n  42 -> 45 [size =\"35144704\"]\n  43 [size=\"141520213\", alpha=\"0.10\", expect_size=\"42456064\"] \n  44 [size=\"84353707\", alpha=\"0.01\", expect_size=\"25306112\"] \n  45 [size=\"70273707\", alpha=\"0.19\", expect_size=\"21082112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80949760\", alpha=\"0.04\", expect_size=\"32379904\"] \n  1 -> 2 [size =\"32379904\"]\n  2 [size=\"81582080\", alpha=\"0.20\", expect_size=\"32632832\"] \n  2 -> 3 [size =\"32632832\"]\n  3 [size=\"109524480\", alpha=\"0.02\", expect_size=\"43809792\"] \n  3 -> 4 [size =\"43809792\"]\n  4 [size=\"30561280\", alpha=\"0.14\", expect_size=\"12224512\"] \n  4 -> 5 [size =\"12224512\"]\n  5 [size=\"53847040\", alpha=\"0.19\", expect_size=\"21538816\"] \n  5 -> 6 [size =\"21538816\"]\n  6 [size=\"37747200\", alpha=\"0.15\", expect_size=\"15098880\"] \n  6 -> 7 [size =\"15098880\"]\n  7 [size=\"105571840\", alpha=\"0.11\", expect_size=\"42228736\"] \n  7 -> 8 [size =\"42228736\"]\n  8 [size=\"39585280\", alpha=\"0.10\", expect_size=\"15834112\"] \n  8 -> 9 [size =\"15834112\"]\n  9 [size=\"82347520\", alpha=\"0.13\", expect_size=\"32939008\"] \n  9 -> 10 [size =\"32939008\"]\n  10 [size=\"101854720\", alpha=\"0.10\", expect_size=\"40741888\"] \n  10 -> 11 [size =\"40741888\"]\n  11 [size=\"40399360\", alpha=\"0.09\", expect_size=\"16159744\"] \n  11 -> 12 [size =\"16159744\"]\n  12 [size=\"61793280\", alpha=\"0.14\", expect_size=\"24717312\"] \n  12 -> 13 [size =\"24717312\"]\n  13 [size=\"61396480\", alpha=\"0.07\", expect_size=\"24558592\"] \n  13 -> 14 [size =\"24558592\"]\n  14 [size=\"74634240\", alpha=\"0.02\", expect_size=\"29853696\"] \n  14 -> 15 [size =\"29853696\"]\n  15 [size=\"39055360\", alpha=\"0.17\", expect_size=\"15622144\"] \n  15 -> 16 [size =\"15622144\"]\n  16 [size=\"32312320\", alpha=\"0.02\", expect_size=\"12924928\"] \n  16 -> 17 [size =\"12924928\"]\n  17 [size=\"118968320\", alpha=\"0.16\", expect_size=\"47587328\"] \n  17 -> 18 [size =\"47587328\"]\n  18 [size=\"66915840\", alpha=\"0.06\", expect_size=\"26766336\"] \n  18 -> 19 [size =\"26766336\"]\n  19 [size=\"128320000\", alpha=\"0.17\", expect_size=\"51328000\"] \n  19 -> 20 [size =\"51328000\"]\n  20 [size=\"85511680\", alpha=\"0.09\", expect_size=\"34204672\"] \n  20 -> 21 [size =\"34204672\"]\n  21 [size=\"27179520\", alpha=\"0.11\", expect_size=\"10871808\"] \n  21 -> 22 [size =\"10871808\"]\n  22 [size=\"79242240\", alpha=\"0.05\", expect_size=\"31696896\"] \n  22 -> 23 [size =\"31696896\"]\n  23 [size=\"44185600\", alpha=\"0.16\", expect_size=\"17674240\"] \n  23 -> 24 [size =\"17674240\"]\n  24 [size=\"83432960\", alpha=\"0.10\", expect_size=\"33373184\"] \n  24 -> 25 [size =\"33373184\"]\n  25 [size=\"94576640\", alpha=\"0.10\", expect_size=\"37830656\"] \n  25 -> 26 [size =\"37830656\"]\n  26 [size=\"74493440\", alpha=\"0.15\", expect_size=\"29797376\"] \n  26 -> 27 [size =\"29797376\"]\n  27 [size=\"85864960\", alpha=\"0.15\", expect_size=\"34345984\"] \n  27 -> 28 [size =\"34345984\"]\n  28 [size=\"64995840\", alpha=\"0.00\", expect_size=\"25998336\"] \n  28 -> 29 [size =\"25998336\"]\n  29 [size=\"98964480\", alpha=\"0.17\", expect_size=\"39585792\"] \n  29 -> 30 [size =\"39585792\"]\n  30 [size=\"83458560\", alpha=\"0.08\", expect_size=\"33383424\"] \n  30 -> 31 [size =\"33383424\"]\n  31 [size=\"15838720\", alpha=\"0.04\", expect_size=\"6335488\"] \n  31 -> 32 [size =\"6335488\"]\n  32 [size=\"81912320\", alpha=\"0.09\", expect_size=\"32764928\"] \n  32 -> 33 [size =\"32764928\"]\n  33 [size=\"114227200\", alpha=\"0.02\", expect_size=\"45690880\"] \n  33 -> 34 [size =\"45690880\"]\n  34 [size=\"91238400\", alpha=\"0.05\", expect_size=\"36495360\"] \n  34 -> 35 [size =\"36495360\"]\n  35 [size=\"30397440\", alpha=\"0.12\", expect_size=\"12158976\"] \n  35 -> 36 [size =\"12158976\"]\n  36 [size=\"90414080\", alpha=\"0.03\", expect_size=\"36165632\"] \n  36 -> 37 [size =\"36165632\"]\n  37 [size=\"59998720\", alpha=\"0.12\", expect_size=\"23999488\"] \n  37 -> 38 [size =\"23999488\"]\n  38 [size=\"31616000\", alpha=\"0.10\", expect_size=\"12646400\"] \n  38 -> 39 [size =\"12646400\"]\n  39 [size=\"31749120\", alpha=\"0.07\", expect_size=\"12699648\"] \n  39 -> 40 [size =\"12699648\"]\n  40 [size=\"129633280\", alpha=\"0.17\", expect_size=\"51853312\"] \n  40 -> 41 [size =\"51853312\"]\n  41 [size=\"60129280\", alpha=\"0.09\", expect_size=\"24051712\"] \n  41 -> 42 [size =\"24051712\"]\n  42 [size=\"86458880\", alpha=\"0.12\", expect_size=\"34583552\"] \n  42 -> 43 [size =\"34583552\"]\n  43 [size=\"21378560\", alpha=\"0.01\", expect_size=\"8551424\"] \n  43 -> 44 [size =\"8551424\"]\n  44 [size=\"31147520\", alpha=\"0.01\", expect_size=\"12459008\"] \n  44 -> 45 [size =\"12459008\"]\n  45 [size=\"59322880\", alpha=\"0.15\", expect_size=\"23729152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47071232\", alpha=\"0.01\", expect_size=\"23535616\"] \n  1 -> 4 [size =\"23535616\"]\n  2 [size=\"65257472\", alpha=\"0.11\", expect_size=\"32628736\"] \n  2 -> 4 [size =\"32628736\"]\n  3 [size=\"22394880\", alpha=\"0.19\", expect_size=\"11197440\"] \n  3 -> 4 [size =\"11197440\"]\n  4 [size=\"10715136\", alpha=\"0.14\", expect_size=\"5357568\"] \n  4 -> 5 [size =\"5357568\"]\n  5 [size=\"14485504\", alpha=\"0.18\", expect_size=\"7242752\"] \n  5 -> 6 [size =\"7242752\"]\n  5 -> 7 [size =\"7242752\"]\n  6 [size=\"36798464\", alpha=\"0.15\", expect_size=\"18399232\"] \n  6 -> 8 [size =\"18399232\"]\n  6 -> 9 [size =\"18399232\"]\n  7 [size=\"38219776\", alpha=\"0.01\", expect_size=\"19109888\"] \n  7 -> 8 [size =\"19109888\"]\n  8 [size=\"68929536\", alpha=\"0.12\", expect_size=\"34464768\"] \n  8 -> 10 [size =\"34464768\"]\n  8 -> 11 [size =\"34464768\"]\n  9 [size=\"61503488\", alpha=\"0.12\", expect_size=\"30751744\"] \n  9 -> 10 [size =\"30751744\"]\n  9 -> 11 [size =\"30751744\"]\n  10 [size=\"68130816\", alpha=\"0.06\", expect_size=\"34065408\"] \n  10 -> 12 [size =\"34065408\"]\n  10 -> 13 [size =\"34065408\"]\n  10 -> 14 [size =\"34065408\"]\n  10 -> 15 [size =\"34065408\"]\n  11 [size=\"81743872\", alpha=\"0.16\", expect_size=\"40871936\"] \n  11 -> 12 [size =\"40871936\"]\n  11 -> 13 [size =\"40871936\"]\n  11 -> 14 [size =\"40871936\"]\n  11 -> 15 [size =\"40871936\"]\n  12 [size=\"84307968\", alpha=\"0.18\", expect_size=\"42153984\"] \n  12 -> 16 [size =\"42153984\"]\n  13 [size=\"41981952\", alpha=\"0.15\", expect_size=\"20990976\"] \n  14 [size=\"36030464\", alpha=\"0.11\", expect_size=\"18015232\"] \n  15 [size=\"102258688\", alpha=\"0.07\", expect_size=\"51129344\"] \n  16 [size=\"90484736\", alpha=\"0.07\", expect_size=\"45242368\"] \n  16 -> 17 [size =\"45242368\"]\n  16 -> 18 [size =\"45242368\"]\n  17 [size=\"65556480\", alpha=\"0.17\", expect_size=\"32778240\"] \n  17 -> 19 [size =\"32778240\"]\n  17 -> 20 [size =\"32778240\"]\n  18 [size=\"71315456\", alpha=\"0.02\", expect_size=\"35657728\"] \n  19 [size=\"35139584\", alpha=\"0.17\", expect_size=\"17569792\"] \n  19 -> 21 [size =\"17569792\"]\n  19 -> 22 [size =\"17569792\"]\n  20 [size=\"92219392\", alpha=\"0.14\", expect_size=\"46109696\"] \n  20 -> 22 [size =\"46109696\"]\n  21 [size=\"27932672\", alpha=\"0.18\", expect_size=\"13966336\"] \n  21 -> 24 [size =\"13966336\"]\n  22 [size=\"103245824\", alpha=\"0.14\", expect_size=\"51622912\"] \n  22 -> 23 [size =\"51622912\"]\n  22 -> 25 [size =\"51622912\"]\n  23 [size=\"93071360\", alpha=\"0.13\", expect_size=\"46535680\"] \n  23 -> 27 [size =\"46535680\"]\n  24 [size=\"70486016\", alpha=\"0.11\", expect_size=\"35243008\"] \n  24 -> 28 [size =\"35243008\"]\n  25 [size=\"26044416\", alpha=\"0.11\", expect_size=\"13022208\"] \n  25 -> 26 [size =\"13022208\"]\n  25 -> 27 [size =\"13022208\"]\n  25 -> 28 [size =\"13022208\"]\n  26 [size=\"57464832\", alpha=\"0.15\", expect_size=\"28732416\"] \n  26 -> 29 [size =\"28732416\"]\n  26 -> 30 [size =\"28732416\"]\n  26 -> 32 [size =\"28732416\"]\n  27 [size=\"91287552\", alpha=\"0.06\", expect_size=\"45643776\"] \n  27 -> 29 [size =\"45643776\"]\n  27 -> 30 [size =\"45643776\"]\n  27 -> 31 [size =\"45643776\"]\n  27 -> 32 [size =\"45643776\"]\n  28 [size=\"79468544\", alpha=\"0.09\", expect_size=\"39734272\"] \n  28 -> 29 [size =\"39734272\"]\n  28 -> 30 [size =\"39734272\"]\n  29 [size=\"87005184\", alpha=\"0.03\", expect_size=\"43502592\"] \n  29 -> 35 [size =\"43502592\"]\n  30 [size=\"74692608\", alpha=\"0.10\", expect_size=\"37346304\"] \n  30 -> 34 [size =\"37346304\"]\n  30 -> 35 [size =\"37346304\"]\n  31 [size=\"46194688\", alpha=\"0.11\", expect_size=\"23097344\"] \n  31 -> 34 [size =\"23097344\"]\n  32 [size=\"38096896\", alpha=\"0.08\", expect_size=\"19048448\"] \n  32 -> 33 [size =\"19048448\"]\n  32 -> 34 [size =\"19048448\"]\n  33 [size=\"10799104\", alpha=\"0.12\", expect_size=\"5399552\"] \n  33 -> 37 [size =\"5399552\"]\n  34 [size=\"70582272\", alpha=\"0.01\", expect_size=\"35291136\"] \n  34 -> 36 [size =\"35291136\"]\n  34 -> 38 [size =\"35291136\"]\n  35 [size=\"28936192\", alpha=\"0.09\", expect_size=\"14468096\"] \n  35 -> 36 [size =\"14468096\"]\n  35 -> 39 [size =\"14468096\"]\n  36 [size=\"78602240\", alpha=\"0.15\", expect_size=\"39301120\"] \n  36 -> 40 [size =\"39301120\"]\n  37 [size=\"57151488\", alpha=\"0.12\", expect_size=\"28575744\"] \n  37 -> 40 [size =\"28575744\"]\n  38 [size=\"86691840\", alpha=\"0.02\", expect_size=\"43345920\"] \n  38 -> 40 [size =\"43345920\"]\n  39 [size=\"36923392\", alpha=\"0.17\", expect_size=\"18461696\"] \n  40 [size=\"53233664\", alpha=\"0.10\", expect_size=\"26616832\"] \n  40 -> 41 [size =\"26616832\"]\n  41 [size=\"98899968\", alpha=\"0.06\", expect_size=\"49449984\"] \n  41 -> 42 [size =\"49449984\"]\n  41 -> 43 [size =\"49449984\"]\n  41 -> 44 [size =\"49449984\"]\n  42 [size=\"56434688\", alpha=\"0.02\", expect_size=\"28217344\"] \n  43 [size=\"94031872\", alpha=\"0.15\", expect_size=\"47015936\"] \n  44 [size=\"54446080\", alpha=\"0.01\", expect_size=\"27223040\"] \n  44 -> 45 [size =\"27223040\"]\n  45 [size=\"57593856\", alpha=\"0.11\", expect_size=\"28796928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52776960\", alpha=\"0.09\", expect_size=\"26388480\"] \n  1 -> 2 [size =\"26388480\"]\n  2 [size=\"58376192\", alpha=\"0.08\", expect_size=\"29188096\"] \n  2 -> 3 [size =\"29188096\"]\n  3 [size=\"60528640\", alpha=\"0.17\", expect_size=\"30264320\"] \n  3 -> 4 [size =\"30264320\"]\n  4 [size=\"89890816\", alpha=\"0.17\", expect_size=\"44945408\"] \n  4 -> 5 [size =\"44945408\"]\n  5 [size=\"92905472\", alpha=\"0.19\", expect_size=\"46452736\"] \n  5 -> 6 [size =\"46452736\"]\n  6 [size=\"103630848\", alpha=\"0.01\", expect_size=\"51815424\"] \n  6 -> 7 [size =\"51815424\"]\n  7 [size=\"54231040\", alpha=\"0.09\", expect_size=\"27115520\"] \n  7 -> 8 [size =\"27115520\"]\n  8 [size=\"14336000\", alpha=\"0.08\", expect_size=\"7168000\"] \n  8 -> 9 [size =\"7168000\"]\n  9 [size=\"78309376\", alpha=\"0.18\", expect_size=\"39154688\"] \n  9 -> 10 [size =\"39154688\"]\n  10 [size=\"79910912\", alpha=\"0.04\", expect_size=\"39955456\"] \n  10 -> 11 [size =\"39955456\"]\n  11 [size=\"36089856\", alpha=\"0.18\", expect_size=\"18044928\"] \n  11 -> 12 [size =\"18044928\"]\n  12 [size=\"79673344\", alpha=\"0.05\", expect_size=\"39836672\"] \n  12 -> 13 [size =\"39836672\"]\n  13 [size=\"25057280\", alpha=\"0.13\", expect_size=\"12528640\"] \n  13 -> 14 [size =\"12528640\"]\n  14 [size=\"104714240\", alpha=\"0.01\", expect_size=\"52357120\"] \n  14 -> 15 [size =\"52357120\"]\n  15 [size=\"89849856\", alpha=\"0.05\", expect_size=\"44924928\"] \n  15 -> 16 [size =\"44924928\"]\n  16 [size=\"85200896\", alpha=\"0.19\", expect_size=\"42600448\"] \n  16 -> 17 [size =\"42600448\"]\n  17 [size=\"88793088\", alpha=\"0.04\", expect_size=\"44396544\"] \n  17 -> 18 [size =\"44396544\"]\n  18 [size=\"35575808\", alpha=\"0.16\", expect_size=\"17787904\"] \n  18 -> 19 [size =\"17787904\"]\n  19 [size=\"74575872\", alpha=\"0.15\", expect_size=\"37287936\"] \n  19 -> 20 [size =\"37287936\"]\n  20 [size=\"63320064\", alpha=\"0.02\", expect_size=\"31660032\"] \n  20 -> 21 [size =\"31660032\"]\n  21 [size=\"82331648\", alpha=\"0.18\", expect_size=\"41165824\"] \n  21 -> 22 [size =\"41165824\"]\n  22 [size=\"75124736\", alpha=\"0.04\", expect_size=\"37562368\"] \n  22 -> 23 [size =\"37562368\"]\n  23 [size=\"97687552\", alpha=\"0.00\", expect_size=\"48843776\"] \n  23 -> 24 [size =\"48843776\"]\n  24 [size=\"63125504\", alpha=\"0.14\", expect_size=\"31562752\"] \n  24 -> 25 [size =\"31562752\"]\n  25 [size=\"69885952\", alpha=\"0.05\", expect_size=\"34942976\"] \n  25 -> 26 [size =\"34942976\"]\n  26 [size=\"94113792\", alpha=\"0.15\", expect_size=\"47056896\"] \n  26 -> 27 [size =\"47056896\"]\n  27 [size=\"87273472\", alpha=\"0.15\", expect_size=\"43636736\"] \n  27 -> 28 [size =\"43636736\"]\n  28 [size=\"13811712\", alpha=\"0.16\", expect_size=\"6905856\"] \n  28 -> 29 [size =\"6905856\"]\n  29 [size=\"89149440\", alpha=\"0.11\", expect_size=\"44574720\"] \n  29 -> 30 [size =\"44574720\"]\n  30 [size=\"66031616\", alpha=\"0.01\", expect_size=\"33015808\"] \n  30 -> 31 [size =\"33015808\"]\n  31 [size=\"75352064\", alpha=\"0.16\", expect_size=\"37676032\"] \n  31 -> 32 [size =\"37676032\"]\n  32 [size=\"65030144\", alpha=\"0.06\", expect_size=\"32515072\"] \n  32 -> 33 [size =\"32515072\"]\n  33 [size=\"82954240\", alpha=\"0.19\", expect_size=\"41477120\"] \n  33 -> 34 [size =\"41477120\"]\n  34 [size=\"84799488\", alpha=\"0.12\", expect_size=\"42399744\"] \n  34 -> 35 [size =\"42399744\"]\n  35 [size=\"55599104\", alpha=\"0.02\", expect_size=\"27799552\"] \n  35 -> 36 [size =\"27799552\"]\n  36 [size=\"77772800\", alpha=\"0.07\", expect_size=\"38886400\"] \n  36 -> 37 [size =\"38886400\"]\n  37 [size=\"55719936\", alpha=\"0.09\", expect_size=\"27859968\"] \n  37 -> 38 [size =\"27859968\"]\n  38 [size=\"33191936\", alpha=\"0.17\", expect_size=\"16595968\"] \n  38 -> 39 [size =\"16595968\"]\n  39 [size=\"14036992\", alpha=\"0.18\", expect_size=\"7018496\"] \n  39 -> 40 [size =\"7018496\"]\n  40 [size=\"66078720\", alpha=\"0.10\", expect_size=\"33039360\"] \n  40 -> 41 [size =\"33039360\"]\n  41 [size=\"70004736\", alpha=\"0.18\", expect_size=\"35002368\"] \n  41 -> 42 [size =\"35002368\"]\n  42 [size=\"51417088\", alpha=\"0.19\", expect_size=\"25708544\"] \n  42 -> 43 [size =\"25708544\"]\n  43 [size=\"79505408\", alpha=\"0.19\", expect_size=\"39752704\"] \n  43 -> 44 [size =\"39752704\"]\n  44 [size=\"74471424\", alpha=\"0.10\", expect_size=\"37235712\"] \n  44 -> 45 [size =\"37235712\"]\n  45 [size=\"36171776\", alpha=\"0.13\", expect_size=\"18085888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33501184\", alpha=\"0.19\", expect_size=\"16750592\"] \n  1 -> 30 [size =\"16750592\"]\n  1 -> 32 [size =\"16750592\"]\n  1 -> 35 [size =\"16750592\"]\n  1 -> 36 [size =\"16750592\"]\n  1 -> 39 [size =\"16750592\"]\n  1 -> 43 [size =\"16750592\"]\n  2 [size=\"67311616\", alpha=\"0.14\", expect_size=\"33655808\"] \n  2 -> 31 [size =\"33655808\"]\n  2 -> 32 [size =\"33655808\"]\n  2 -> 36 [size =\"33655808\"]\n  2 -> 36 [size =\"33655808\"]\n  2 -> 42 [size =\"33655808\"]\n  3 [size=\"30255104\", alpha=\"0.17\", expect_size=\"15127552\"] \n  3 -> 32 [size =\"15127552\"]\n  3 -> 32 [size =\"15127552\"]\n  3 -> 36 [size =\"15127552\"]\n  3 -> 38 [size =\"15127552\"]\n  3 -> 42 [size =\"15127552\"]\n  3 -> 43 [size =\"15127552\"]\n  4 [size=\"41826304\", alpha=\"0.02\", expect_size=\"20913152\"] \n  4 -> 30 [size =\"20913152\"]\n  4 -> 36 [size =\"20913152\"]\n  4 -> 38 [size =\"20913152\"]\n  4 -> 42 [size =\"20913152\"]\n  4 -> 42 [size =\"20913152\"]\n  4 -> 43 [size =\"20913152\"]\n  5 [size=\"62001152\", alpha=\"0.16\", expect_size=\"31000576\"] \n  5 -> 30 [size =\"31000576\"]\n  5 -> 36 [size =\"31000576\"]\n  6 [size=\"66125824\", alpha=\"0.16\", expect_size=\"33062912\"] \n  6 -> 30 [size =\"33062912\"]\n  6 -> 34 [size =\"33062912\"]\n  6 -> 35 [size =\"33062912\"]\n  6 -> 36 [size =\"33062912\"]\n  6 -> 42 [size =\"33062912\"]\n  6 -> 43 [size =\"33062912\"]\n  6 -> 45 [size =\"33062912\"]\n  7 [size=\"26486784\", alpha=\"0.17\", expect_size=\"13243392\"] \n  7 -> 30 [size =\"13243392\"]\n  7 -> 32 [size =\"13243392\"]\n  7 -> 35 [size =\"13243392\"]\n  7 -> 36 [size =\"13243392\"]\n  7 -> 38 [size =\"13243392\"]\n  8 [size=\"15749120\", alpha=\"0.19\", expect_size=\"7874560\"] \n  8 -> 30 [size =\"7874560\"]\n  8 -> 33 [size =\"7874560\"]\n  8 -> 36 [size =\"7874560\"]\n  8 -> 38 [size =\"7874560\"]\n  8 -> 38 [size =\"7874560\"]\n  8 -> 45 [size =\"7874560\"]\n  9 [size=\"100552704\", alpha=\"0.06\", expect_size=\"50276352\"] \n  9 -> 34 [size =\"50276352\"]\n  9 -> 38 [size =\"50276352\"]\n  9 -> 40 [size =\"50276352\"]\n  9 -> 43 [size =\"50276352\"]\n  10 [size=\"33597440\", alpha=\"0.10\", expect_size=\"16798720\"] \n  10 -> 30 [size =\"16798720\"]\n  10 -> 31 [size =\"16798720\"]\n  10 -> 34 [size =\"16798720\"]\n  10 -> 43 [size =\"16798720\"]\n  11 [size=\"51521536\", alpha=\"0.19\", expect_size=\"25760768\"] \n  11 -> 31 [size =\"25760768\"]\n  11 -> 34 [size =\"25760768\"]\n  11 -> 36 [size =\"25760768\"]\n  11 -> 42 [size =\"25760768\"]\n  11 -> 43 [size =\"25760768\"]\n  12 [size=\"48680960\", alpha=\"0.15\", expect_size=\"24340480\"] \n  12 -> 32 [size =\"24340480\"]\n  12 -> 38 [size =\"24340480\"]\n  12 -> 43 [size =\"24340480\"]\n  12 -> 45 [size =\"24340480\"]\n  13 [size=\"19636224\", alpha=\"0.18\", expect_size=\"9818112\"] \n  13 -> 30 [size =\"9818112\"]\n  13 -> 32 [size =\"9818112\"]\n  13 -> 33 [size =\"9818112\"]\n  13 -> 36 [size =\"9818112\"]\n  13 -> 39 [size =\"9818112\"]\n  13 -> 42 [size =\"9818112\"]\n  13 -> 45 [size =\"9818112\"]\n  14 [size=\"100794368\", alpha=\"0.12\", expect_size=\"50397184\"] \n  14 -> 32 [size =\"50397184\"]\n  14 -> 34 [size =\"50397184\"]\n  14 -> 42 [size =\"50397184\"]\n  14 -> 44 [size =\"50397184\"]\n  14 -> 45 [size =\"50397184\"]\n  15 [size=\"18200576\", alpha=\"0.08\", expect_size=\"9100288\"] \n  15 -> 32 [size =\"9100288\"]\n  15 -> 34 [size =\"9100288\"]\n  15 -> 35 [size =\"9100288\"]\n  15 -> 39 [size =\"9100288\"]\n  15 -> 45 [size =\"9100288\"]\n  16 [size=\"93009920\", alpha=\"0.08\", expect_size=\"46504960\"] \n  16 -> 29 [size =\"46504960\"]\n  16 -> 30 [size =\"46504960\"]\n  16 -> 32 [size =\"46504960\"]\n  16 -> 39 [size =\"46504960\"]\n  16 -> 40 [size =\"46504960\"]\n  16 -> 43 [size =\"46504960\"]\n  16 -> 44 [size =\"46504960\"]\n  17 [size=\"72943616\", alpha=\"0.12\", expect_size=\"36471808\"] \n  17 -> 30 [size =\"36471808\"]\n  17 -> 32 [size =\"36471808\"]\n  17 -> 33 [size =\"36471808\"]\n  17 -> 36 [size =\"36471808\"]\n  17 -> 38 [size =\"36471808\"]\n  17 -> 41 [size =\"36471808\"]\n  17 -> 43 [size =\"36471808\"]\n  17 -> 44 [size =\"36471808\"]\n  18 [size=\"57264128\", alpha=\"0.02\", expect_size=\"28632064\"] \n  18 -> 30 [size =\"28632064\"]\n  18 -> 32 [size =\"28632064\"]\n  18 -> 34 [size =\"28632064\"]\n  18 -> 36 [size =\"28632064\"]\n  18 -> 43 [size =\"28632064\"]\n  18 -> 45 [size =\"28632064\"]\n  19 [size=\"53850112\", alpha=\"0.15\", expect_size=\"26925056\"] \n  19 -> 30 [size =\"26925056\"]\n  19 -> 38 [size =\"26925056\"]\n  19 -> 39 [size =\"26925056\"]\n  19 -> 42 [size =\"26925056\"]\n  19 -> 43 [size =\"26925056\"]\n  20 [size=\"82325504\", alpha=\"0.09\", expect_size=\"41162752\"] \n  20 -> 30 [size =\"41162752\"]\n  20 -> 32 [size =\"41162752\"]\n  20 -> 33 [size =\"41162752\"]\n  20 -> 35 [size =\"41162752\"]\n  20 -> 36 [size =\"41162752\"]\n  20 -> 38 [size =\"41162752\"]\n  20 -> 42 [size =\"41162752\"]\n  20 -> 43 [size =\"41162752\"]\n  21 [size=\"35096576\", alpha=\"0.09\", expect_size=\"17548288\"] \n  21 -> 35 [size =\"17548288\"]\n  21 -> 36 [size =\"17548288\"]\n  21 -> 38 [size =\"17548288\"]\n  21 -> 42 [size =\"17548288\"]\n  21 -> 43 [size =\"17548288\"]\n  22 [size=\"30638080\", alpha=\"0.00\", expect_size=\"15319040\"] \n  22 -> 30 [size =\"15319040\"]\n  22 -> 33 [size =\"15319040\"]\n  22 -> 36 [size =\"15319040\"]\n  22 -> 38 [size =\"15319040\"]\n  22 -> 43 [size =\"15319040\"]\n  23 [size=\"102043648\", alpha=\"0.16\", expect_size=\"51021824\"] \n  23 -> 30 [size =\"51021824\"]\n  23 -> 32 [size =\"51021824\"]\n  23 -> 33 [size =\"51021824\"]\n  23 -> 36 [size =\"51021824\"]\n  23 -> 38 [size =\"51021824\"]\n  23 -> 42 [size =\"51021824\"]\n  23 -> 43 [size =\"51021824\"]\n  23 -> 45 [size =\"51021824\"]\n  24 [size=\"94445568\", alpha=\"0.18\", expect_size=\"47222784\"] \n  24 -> 30 [size =\"47222784\"]\n  24 -> 32 [size =\"47222784\"]\n  24 -> 33 [size =\"47222784\"]\n  24 -> 38 [size =\"47222784\"]\n  24 -> 42 [size =\"47222784\"]\n  24 -> 43 [size =\"47222784\"]\n  25 [size=\"54722560\", alpha=\"0.11\", expect_size=\"27361280\"] \n  25 -> 30 [size =\"27361280\"]\n  25 -> 32 [size =\"27361280\"]\n  25 -> 33 [size =\"27361280\"]\n  25 -> 36 [size =\"27361280\"]\n  25 -> 38 [size =\"27361280\"]\n  25 -> 42 [size =\"27361280\"]\n  26 [size=\"92860416\", alpha=\"0.16\", expect_size=\"46430208\"] \n  26 -> 30 [size =\"46430208\"]\n  26 -> 33 [size =\"46430208\"]\n  26 -> 35 [size =\"46430208\"]\n  26 -> 36 [size =\"46430208\"]\n  26 -> 42 [size =\"46430208\"]\n  26 -> 45 [size =\"46430208\"]\n  27 [size=\"35192832\", alpha=\"0.05\", expect_size=\"17596416\"] \n  27 -> 32 [size =\"17596416\"]\n  27 -> 35 [size =\"17596416\"]\n  27 -> 37 [size =\"17596416\"]\n  27 -> 43 [size =\"17596416\"]\n  27 -> 45 [size =\"17596416\"]\n  27 -> 45 [size =\"17596416\"]\n  28 [size=\"90163200\", alpha=\"0.14\", expect_size=\"45081600\"] \n  28 -> 30 [size =\"45081600\"]\n  28 -> 45 [size =\"45081600\"]\n  29 [size=\"98805760\", alpha=\"0.03\", expect_size=\"49402880\"] \n  30 [size=\"74031104\", alpha=\"0.16\", expect_size=\"37015552\"] \n  31 [size=\"23431168\", alpha=\"0.18\", expect_size=\"11715584\"] \n  32 [size=\"64391168\", alpha=\"0.09\", expect_size=\"32195584\"] \n  33 [size=\"64997376\", alpha=\"0.01\", expect_size=\"32498688\"] \n  34 [size=\"45017088\", alpha=\"0.12\", expect_size=\"22508544\"] \n  35 [size=\"35790848\", alpha=\"0.05\", expect_size=\"17895424\"] \n  36 [size=\"88840192\", alpha=\"0.16\", expect_size=\"44420096\"] \n  37 [size=\"71057408\", alpha=\"0.19\", expect_size=\"35528704\"] \n  38 [size=\"92819456\", alpha=\"0.13\", expect_size=\"46409728\"] \n  39 [size=\"65017856\", alpha=\"0.16\", expect_size=\"32508928\"] \n  40 [size=\"77723648\", alpha=\"0.14\", expect_size=\"38861824\"] \n  41 [size=\"59672576\", alpha=\"0.17\", expect_size=\"29836288\"] \n  42 [size=\"51904512\", alpha=\"0.05\", expect_size=\"25952256\"] \n  43 [size=\"92614656\", alpha=\"0.12\", expect_size=\"46307328\"] \n  44 [size=\"96583680\", alpha=\"0.16\", expect_size=\"48291840\"] \n  45 [size=\"59748352\", alpha=\"0.10\", expect_size=\"29874176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41592832\", alpha=\"0.13\", expect_size=\"20796416\"] \n  1 -> 8 [size =\"20796416\"]\n  2 [size=\"53835776\", alpha=\"0.01\", expect_size=\"26917888\"] \n  2 -> 8 [size =\"26917888\"]\n  2 -> 9 [size =\"26917888\"]\n  2 -> 10 [size =\"26917888\"]\n  2 -> 12 [size =\"26917888\"]\n  3 [size=\"80429056\", alpha=\"0.02\", expect_size=\"40214528\"] \n  3 -> 7 [size =\"40214528\"]\n  3 -> 10 [size =\"40214528\"]\n  3 -> 12 [size =\"40214528\"]\n  4 [size=\"45201408\", alpha=\"0.16\", expect_size=\"22600704\"] \n  4 -> 10 [size =\"22600704\"]\n  4 -> 11 [size =\"22600704\"]\n  4 -> 12 [size =\"22600704\"]\n  5 [size=\"38653952\", alpha=\"0.16\", expect_size=\"19326976\"] \n  6 [size=\"101515264\", alpha=\"0.18\", expect_size=\"50757632\"] \n  6 -> 7 [size =\"50757632\"]\n  6 -> 9 [size =\"50757632\"]\n  6 -> 11 [size =\"50757632\"]\n  7 [size=\"60803072\", alpha=\"0.17\", expect_size=\"30401536\"] \n  7 -> 16 [size =\"30401536\"]\n  7 -> 17 [size =\"30401536\"]\n  8 [size=\"53391360\", alpha=\"0.08\", expect_size=\"26695680\"] \n  8 -> 13 [size =\"26695680\"]\n  8 -> 14 [size =\"26695680\"]\n  8 -> 15 [size =\"26695680\"]\n  9 [size=\"86351872\", alpha=\"0.15\", expect_size=\"43175936\"] \n  9 -> 14 [size =\"43175936\"]\n  9 -> 15 [size =\"43175936\"]\n  9 -> 16 [size =\"43175936\"]\n  9 -> 17 [size =\"43175936\"]\n  10 [size=\"90505216\", alpha=\"0.00\", expect_size=\"45252608\"] \n  10 -> 16 [size =\"45252608\"]\n  10 -> 17 [size =\"45252608\"]\n  11 [size=\"73598976\", alpha=\"0.18\", expect_size=\"36799488\"] \n  11 -> 13 [size =\"36799488\"]\n  11 -> 14 [size =\"36799488\"]\n  11 -> 16 [size =\"36799488\"]\n  11 -> 17 [size =\"36799488\"]\n  12 [size=\"41179136\", alpha=\"0.12\", expect_size=\"20589568\"] \n  12 -> 13 [size =\"20589568\"]\n  13 [size=\"43999232\", alpha=\"0.05\", expect_size=\"21999616\"] \n  13 -> 20 [size =\"21999616\"]\n  14 [size=\"55238656\", alpha=\"0.18\", expect_size=\"27619328\"] \n  14 -> 18 [size =\"27619328\"]\n  14 -> 22 [size =\"27619328\"]\n  15 [size=\"37824512\", alpha=\"0.12\", expect_size=\"18912256\"] \n  15 -> 19 [size =\"18912256\"]\n  15 -> 20 [size =\"18912256\"]\n  15 -> 21 [size =\"18912256\"]\n  16 [size=\"18888704\", alpha=\"0.11\", expect_size=\"9444352\"] \n  16 -> 22 [size =\"9444352\"]\n  17 [size=\"101496832\", alpha=\"0.00\", expect_size=\"50748416\"] \n  17 -> 21 [size =\"50748416\"]\n  17 -> 22 [size =\"50748416\"]\n  18 [size=\"89606144\", alpha=\"0.08\", expect_size=\"44803072\"] \n  18 -> 23 [size =\"44803072\"]\n  18 -> 26 [size =\"44803072\"]\n  18 -> 27 [size =\"44803072\"]\n  19 [size=\"32026624\", alpha=\"0.18\", expect_size=\"16013312\"] \n  19 -> 25 [size =\"16013312\"]\n  19 -> 26 [size =\"16013312\"]\n  19 -> 27 [size =\"16013312\"]\n  20 [size=\"100679680\", alpha=\"0.08\", expect_size=\"50339840\"] \n  20 -> 24 [size =\"50339840\"]\n  21 [size=\"101533696\", alpha=\"0.05\", expect_size=\"50766848\"] \n  21 -> 23 [size =\"50766848\"]\n  21 -> 25 [size =\"50766848\"]\n  21 -> 27 [size =\"50766848\"]\n  22 [size=\"90863616\", alpha=\"0.11\", expect_size=\"45431808\"] \n  23 [size=\"54413312\", alpha=\"0.11\", expect_size=\"27206656\"] \n  23 -> 31 [size =\"27206656\"]\n  23 -> 32 [size =\"27206656\"]\n  24 [size=\"79661056\", alpha=\"0.20\", expect_size=\"39830528\"] \n  24 -> 28 [size =\"39830528\"]\n  25 [size=\"67932160\", alpha=\"0.14\", expect_size=\"33966080\"] \n  25 -> 29 [size =\"33966080\"]\n  26 [size=\"31260672\", alpha=\"0.07\", expect_size=\"15630336\"] \n  26 -> 29 [size =\"15630336\"]\n  26 -> 30 [size =\"15630336\"]\n  26 -> 31 [size =\"15630336\"]\n  27 [size=\"81178624\", alpha=\"0.11\", expect_size=\"40589312\"] \n  27 -> 30 [size =\"40589312\"]\n  27 -> 31 [size =\"40589312\"]\n  27 -> 32 [size =\"40589312\"]\n  28 [size=\"82075648\", alpha=\"0.04\", expect_size=\"41037824\"] \n  28 -> 35 [size =\"41037824\"]\n  28 -> 36 [size =\"41037824\"]\n  29 [size=\"25731072\", alpha=\"0.13\", expect_size=\"12865536\"] \n  29 -> 34 [size =\"12865536\"]\n  29 -> 36 [size =\"12865536\"]\n  29 -> 37 [size =\"12865536\"]\n  30 [size=\"15149056\", alpha=\"0.20\", expect_size=\"7574528\"] \n  30 -> 34 [size =\"7574528\"]\n  31 [size=\"52566016\", alpha=\"0.19\", expect_size=\"26283008\"] \n  32 [size=\"74717184\", alpha=\"0.05\", expect_size=\"37358592\"] \n  32 -> 33 [size =\"37358592\"]\n  32 -> 34 [size =\"37358592\"]\n  33 [size=\"30582784\", alpha=\"0.18\", expect_size=\"15291392\"] \n  33 -> 40 [size =\"15291392\"]\n  33 -> 42 [size =\"15291392\"]\n  34 [size=\"84475904\", alpha=\"0.01\", expect_size=\"42237952\"] \n  35 [size=\"82370560\", alpha=\"0.10\", expect_size=\"41185280\"] \n  35 -> 38 [size =\"41185280\"]\n  35 -> 40 [size =\"41185280\"]\n  36 [size=\"52439040\", alpha=\"0.20\", expect_size=\"26219520\"] \n  36 -> 38 [size =\"26219520\"]\n  36 -> 39 [size =\"26219520\"]\n  37 [size=\"85706752\", alpha=\"0.09\", expect_size=\"42853376\"] \n  37 -> 38 [size =\"42853376\"]\n  37 -> 39 [size =\"42853376\"]\n  37 -> 40 [size =\"42853376\"]\n  37 -> 41 [size =\"42853376\"]\n  38 [size=\"43753472\", alpha=\"0.16\", expect_size=\"21876736\"] \n  38 -> 44 [size =\"21876736\"]\n  39 [size=\"63854592\", alpha=\"0.06\", expect_size=\"31927296\"] \n  40 [size=\"33134592\", alpha=\"0.16\", expect_size=\"16567296\"] \n  41 [size=\"31612928\", alpha=\"0.06\", expect_size=\"15806464\"] \n  41 -> 43 [size =\"15806464\"]\n  41 -> 44 [size =\"15806464\"]\n  42 [size=\"28030976\", alpha=\"0.12\", expect_size=\"14015488\"] \n  42 -> 44 [size =\"14015488\"]\n  42 -> 45 [size =\"14015488\"]\n  43 [size=\"53084160\", alpha=\"0.08\", expect_size=\"26542080\"] \n  44 [size=\"45912064\", alpha=\"0.18\", expect_size=\"22956032\"] \n  45 [size=\"51271680\", alpha=\"0.00\", expect_size=\"25635840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84916224\", alpha=\"0.02\", expect_size=\"42458112\"] \n  1 -> 2 [size =\"42458112\"]\n  2 [size=\"38350848\", alpha=\"0.04\", expect_size=\"19175424\"] \n  2 -> 3 [size =\"19175424\"]\n  3 [size=\"36231168\", alpha=\"0.05\", expect_size=\"18115584\"] \n  3 -> 4 [size =\"18115584\"]\n  4 [size=\"50608128\", alpha=\"0.00\", expect_size=\"25304064\"] \n  4 -> 5 [size =\"25304064\"]\n  5 [size=\"76900352\", alpha=\"0.07\", expect_size=\"38450176\"] \n  5 -> 6 [size =\"38450176\"]\n  6 [size=\"50176000\", alpha=\"0.16\", expect_size=\"25088000\"] \n  6 -> 7 [size =\"25088000\"]\n  7 [size=\"92999680\", alpha=\"0.15\", expect_size=\"46499840\"] \n  7 -> 8 [size =\"46499840\"]\n  8 [size=\"64841728\", alpha=\"0.19\", expect_size=\"32420864\"] \n  8 -> 9 [size =\"32420864\"]\n  9 [size=\"31168512\", alpha=\"0.06\", expect_size=\"15584256\"] \n  9 -> 10 [size =\"15584256\"]\n  10 [size=\"88920064\", alpha=\"0.14\", expect_size=\"44460032\"] \n  10 -> 11 [size =\"44460032\"]\n  11 [size=\"71129088\", alpha=\"0.20\", expect_size=\"35564544\"] \n  11 -> 12 [size =\"35564544\"]\n  12 [size=\"81307648\", alpha=\"0.08\", expect_size=\"40653824\"] \n  12 -> 13 [size =\"40653824\"]\n  13 [size=\"98521088\", alpha=\"0.07\", expect_size=\"49260544\"] \n  13 -> 14 [size =\"49260544\"]\n  14 [size=\"28235776\", alpha=\"0.16\", expect_size=\"14117888\"] \n  14 -> 15 [size =\"14117888\"]\n  15 [size=\"28299264\", alpha=\"0.03\", expect_size=\"14149632\"] \n  15 -> 16 [size =\"14149632\"]\n  16 [size=\"59521024\", alpha=\"0.09\", expect_size=\"29760512\"] \n  16 -> 17 [size =\"29760512\"]\n  17 [size=\"40867840\", alpha=\"0.07\", expect_size=\"20433920\"] \n  17 -> 18 [size =\"20433920\"]\n  18 [size=\"17262592\", alpha=\"0.18\", expect_size=\"8631296\"] \n  18 -> 19 [size =\"8631296\"]\n  19 [size=\"14866432\", alpha=\"0.13\", expect_size=\"7433216\"] \n  19 -> 20 [size =\"7433216\"]\n  20 [size=\"42813440\", alpha=\"0.15\", expect_size=\"21406720\"] \n  20 -> 21 [size =\"21406720\"]\n  21 [size=\"14036992\", alpha=\"0.13\", expect_size=\"7018496\"] \n  21 -> 22 [size =\"7018496\"]\n  22 [size=\"12091392\", alpha=\"0.16\", expect_size=\"6045696\"] \n  22 -> 23 [size =\"6045696\"]\n  23 [size=\"47947776\", alpha=\"0.05\", expect_size=\"23973888\"] \n  23 -> 24 [size =\"23973888\"]\n  24 [size=\"78966784\", alpha=\"0.02\", expect_size=\"39483392\"] \n  24 -> 25 [size =\"39483392\"]\n  25 [size=\"62214144\", alpha=\"0.13\", expect_size=\"31107072\"] \n  25 -> 26 [size =\"31107072\"]\n  26 [size=\"74094592\", alpha=\"0.13\", expect_size=\"37047296\"] \n  26 -> 27 [size =\"37047296\"]\n  27 [size=\"22036480\", alpha=\"0.11\", expect_size=\"11018240\"] \n  27 -> 28 [size =\"11018240\"]\n  28 [size=\"56637440\", alpha=\"0.19\", expect_size=\"28318720\"] \n  28 -> 29 [size =\"28318720\"]\n  29 [size=\"48750592\", alpha=\"0.13\", expect_size=\"24375296\"] \n  29 -> 30 [size =\"24375296\"]\n  30 [size=\"17911808\", alpha=\"0.02\", expect_size=\"8955904\"] \n  30 -> 31 [size =\"8955904\"]\n  31 [size=\"89339904\", alpha=\"0.05\", expect_size=\"44669952\"] \n  31 -> 32 [size =\"44669952\"]\n  32 [size=\"54349824\", alpha=\"0.03\", expect_size=\"27174912\"] \n  32 -> 33 [size =\"27174912\"]\n  33 [size=\"35176448\", alpha=\"0.19\", expect_size=\"17588224\"] \n  33 -> 34 [size =\"17588224\"]\n  34 [size=\"57571328\", alpha=\"0.19\", expect_size=\"28785664\"] \n  34 -> 35 [size =\"28785664\"]\n  35 [size=\"67278848\", alpha=\"0.03\", expect_size=\"33639424\"] \n  35 -> 36 [size =\"33639424\"]\n  36 [size=\"36349952\", alpha=\"0.17\", expect_size=\"18174976\"] \n  36 -> 37 [size =\"18174976\"]\n  37 [size=\"98844672\", alpha=\"0.18\", expect_size=\"49422336\"] \n  37 -> 38 [size =\"49422336\"]\n  38 [size=\"54159360\", alpha=\"0.00\", expect_size=\"27079680\"] \n  38 -> 39 [size =\"27079680\"]\n  39 [size=\"51027968\", alpha=\"0.03\", expect_size=\"25513984\"] \n  39 -> 40 [size =\"25513984\"]\n  40 [size=\"15759360\", alpha=\"0.13\", expect_size=\"7879680\"] \n  40 -> 41 [size =\"7879680\"]\n  41 [size=\"26789888\", alpha=\"0.04\", expect_size=\"13394944\"] \n  41 -> 42 [size =\"13394944\"]\n  42 [size=\"50393088\", alpha=\"0.15\", expect_size=\"25196544\"] \n  42 -> 43 [size =\"25196544\"]\n  43 [size=\"63016960\", alpha=\"0.14\", expect_size=\"31508480\"] \n  43 -> 44 [size =\"31508480\"]\n  44 [size=\"58329088\", alpha=\"0.07\", expect_size=\"29164544\"] \n  44 -> 45 [size =\"29164544\"]\n  45 [size=\"54081536\", alpha=\"0.12\", expect_size=\"27040768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89492480\", alpha=\"0.20\", expect_size=\"35796992\"] \n  1 -> 3 [size =\"35796992\"]\n  2 [size=\"117373440\", alpha=\"0.03\", expect_size=\"46949376\"] \n  2 -> 3 [size =\"46949376\"]\n  3 [size=\"126512640\", alpha=\"0.20\", expect_size=\"50605056\"] \n  3 -> 4 [size =\"50605056\"]\n  3 -> 5 [size =\"50605056\"]\n  4 [size=\"93736960\", alpha=\"0.13\", expect_size=\"37494784\"] \n  4 -> 6 [size =\"37494784\"]\n  5 [size=\"129945600\", alpha=\"0.14\", expect_size=\"51978240\"] \n  5 -> 6 [size =\"51978240\"]\n  6 [size=\"53593600\", alpha=\"0.18\", expect_size=\"21437440\"] \n  6 -> 7 [size =\"21437440\"]\n  6 -> 8 [size =\"21437440\"]\n  6 -> 9 [size =\"21437440\"]\n  7 [size=\"66531840\", alpha=\"0.17\", expect_size=\"26612736\"] \n  7 -> 10 [size =\"26612736\"]\n  7 -> 11 [size =\"26612736\"]\n  7 -> 12 [size =\"26612736\"]\n  7 -> 13 [size =\"26612736\"]\n  8 [size=\"65479680\", alpha=\"0.11\", expect_size=\"26191872\"] \n  8 -> 10 [size =\"26191872\"]\n  8 -> 11 [size =\"26191872\"]\n  8 -> 12 [size =\"26191872\"]\n  8 -> 13 [size =\"26191872\"]\n  9 [size=\"36712960\", alpha=\"0.09\", expect_size=\"14685184\"] \n  9 -> 10 [size =\"14685184\"]\n  9 -> 12 [size =\"14685184\"]\n  9 -> 13 [size =\"14685184\"]\n  10 [size=\"21096960\", alpha=\"0.08\", expect_size=\"8438784\"] \n  10 -> 14 [size =\"8438784\"]\n  10 -> 16 [size =\"8438784\"]\n  10 -> 17 [size =\"8438784\"]\n  11 [size=\"114227200\", alpha=\"0.18\", expect_size=\"45690880\"] \n  11 -> 14 [size =\"45690880\"]\n  11 -> 15 [size =\"45690880\"]\n  11 -> 16 [size =\"45690880\"]\n  11 -> 17 [size =\"45690880\"]\n  12 [size=\"112360960\", alpha=\"0.10\", expect_size=\"44944384\"] \n  12 -> 15 [size =\"44944384\"]\n  12 -> 15 [size =\"44944384\"]\n  12 -> 16 [size =\"44944384\"]\n  12 -> 17 [size =\"44944384\"]\n  13 [size=\"128171520\", alpha=\"0.07\", expect_size=\"51268608\"] \n  13 -> 14 [size =\"51268608\"]\n  13 -> 16 [size =\"51268608\"]\n  13 -> 17 [size =\"51268608\"]\n  14 [size=\"125427200\", alpha=\"0.01\", expect_size=\"50170880\"] \n  14 -> 18 [size =\"50170880\"]\n  14 -> 19 [size =\"50170880\"]\n  14 -> 20 [size =\"50170880\"]\n  15 [size=\"86172160\", alpha=\"0.17\", expect_size=\"34468864\"] \n  15 -> 18 [size =\"34468864\"]\n  15 -> 20 [size =\"34468864\"]\n  16 [size=\"52042240\", alpha=\"0.14\", expect_size=\"20816896\"] \n  16 -> 19 [size =\"20816896\"]\n  16 -> 20 [size =\"20816896\"]\n  17 [size=\"38379520\", alpha=\"0.04\", expect_size=\"15351808\"] \n  17 -> 18 [size =\"15351808\"]\n  17 -> 19 [size =\"15351808\"]\n  17 -> 20 [size =\"15351808\"]\n  18 [size=\"20874240\", alpha=\"0.04\", expect_size=\"8349696\"] \n  18 -> 21 [size =\"8349696\"]\n  18 -> 23 [size =\"8349696\"]\n  19 [size=\"82956800\", alpha=\"0.04\", expect_size=\"33182720\"] \n  19 -> 21 [size =\"33182720\"]\n  19 -> 23 [size =\"33182720\"]\n  20 [size=\"18795520\", alpha=\"0.09\", expect_size=\"7518208\"] \n  20 -> 21 [size =\"7518208\"]\n  20 -> 22 [size =\"7518208\"]\n  21 [size=\"64209920\", alpha=\"0.07\", expect_size=\"25683968\"] \n  21 -> 25 [size =\"25683968\"]\n  21 -> 26 [size =\"25683968\"]\n  22 [size=\"52554240\", alpha=\"0.03\", expect_size=\"21021696\"] \n  22 -> 24 [size =\"21021696\"]\n  22 -> 25 [size =\"21021696\"]\n  22 -> 26 [size =\"21021696\"]\n  23 [size=\"111710720\", alpha=\"0.19\", expect_size=\"44684288\"] \n  23 -> 25 [size =\"44684288\"]\n  24 [size=\"37452800\", alpha=\"0.08\", expect_size=\"14981120\"] \n  24 -> 27 [size =\"14981120\"]\n  24 -> 28 [size =\"14981120\"]\n  24 -> 29 [size =\"14981120\"]\n  25 [size=\"42048000\", alpha=\"0.17\", expect_size=\"16819200\"] \n  25 -> 27 [size =\"16819200\"]\n  25 -> 28 [size =\"16819200\"]\n  25 -> 29 [size =\"16819200\"]\n  25 -> 30 [size =\"16819200\"]\n  26 [size=\"24238080\", alpha=\"0.12\", expect_size=\"9695232\"] \n  26 -> 29 [size =\"9695232\"]\n  27 [size=\"108779520\", alpha=\"0.17\", expect_size=\"43511808\"] \n  27 -> 31 [size =\"43511808\"]\n  27 -> 33 [size =\"43511808\"]\n  27 -> 34 [size =\"43511808\"]\n  28 [size=\"13685760\", alpha=\"0.11\", expect_size=\"5474304\"] \n  28 -> 31 [size =\"5474304\"]\n  28 -> 33 [size =\"5474304\"]\n  28 -> 34 [size =\"5474304\"]\n  29 [size=\"36720640\", alpha=\"0.08\", expect_size=\"14688256\"] \n  29 -> 31 [size =\"14688256\"]\n  29 -> 32 [size =\"14688256\"]\n  30 [size=\"57438720\", alpha=\"0.07\", expect_size=\"22975488\"] \n  30 -> 31 [size =\"22975488\"]\n  30 -> 33 [size =\"22975488\"]\n  30 -> 34 [size =\"22975488\"]\n  31 [size=\"110387200\", alpha=\"0.03\", expect_size=\"44154880\"] \n  31 -> 37 [size =\"44154880\"]\n  31 -> 38 [size =\"44154880\"]\n  32 [size=\"36024320\", alpha=\"0.16\", expect_size=\"14409728\"] \n  32 -> 35 [size =\"14409728\"]\n  32 -> 36 [size =\"14409728\"]\n  33 [size=\"56583680\", alpha=\"0.09\", expect_size=\"22633472\"] \n  33 -> 36 [size =\"22633472\"]\n  34 [size=\"49541120\", alpha=\"0.00\", expect_size=\"19816448\"] \n  34 -> 36 [size =\"19816448\"]\n  34 -> 37 [size =\"19816448\"]\n  35 [size=\"95526400\", alpha=\"0.04\", expect_size=\"38210560\"] \n  35 -> 39 [size =\"38210560\"]\n  35 -> 40 [size =\"38210560\"]\n  36 [size=\"75456000\", alpha=\"0.14\", expect_size=\"30182400\"] \n  37 [size=\"29811200\", alpha=\"0.09\", expect_size=\"11924480\"] \n  37 -> 39 [size =\"11924480\"]\n  37 -> 40 [size =\"11924480\"]\n  38 [size=\"129984000\", alpha=\"0.05\", expect_size=\"51993600\"] \n  38 -> 40 [size =\"51993600\"]\n  39 [size=\"74449920\", alpha=\"0.13\", expect_size=\"29779968\"] \n  39 -> 41 [size =\"29779968\"]\n  39 -> 43 [size =\"29779968\"]\n  39 -> 44 [size =\"29779968\"]\n  40 [size=\"122749440\", alpha=\"0.02\", expect_size=\"49099776\"] \n  40 -> 41 [size =\"49099776\"]\n  40 -> 42 [size =\"49099776\"]\n  40 -> 43 [size =\"49099776\"]\n  40 -> 44 [size =\"49099776\"]\n  41 [size=\"46942720\", alpha=\"0.20\", expect_size=\"18777088\"] \n  41 -> 45 [size =\"18777088\"]\n  42 [size=\"66112000\", alpha=\"0.04\", expect_size=\"26444800\"] \n  42 -> 45 [size =\"26444800\"]\n  43 [size=\"43584000\", alpha=\"0.05\", expect_size=\"17433600\"] \n  43 -> 45 [size =\"17433600\"]\n  44 [size=\"94425600\", alpha=\"0.10\", expect_size=\"37770240\"] \n  44 -> 45 [size =\"37770240\"]\n  45 [size=\"95029760\", alpha=\"0.20\", expect_size=\"38011904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105904640\", alpha=\"0.20\", expect_size=\"42361856\"] \n  1 -> 32 [size =\"42361856\"]\n  1 -> 36 [size =\"42361856\"]\n  1 -> 37 [size =\"42361856\"]\n  1 -> 42 [size =\"42361856\"]\n  2 [size=\"121441280\", alpha=\"0.02\", expect_size=\"48576512\"] \n  2 -> 34 [size =\"48576512\"]\n  2 -> 35 [size =\"48576512\"]\n  2 -> 36 [size =\"48576512\"]\n  2 -> 41 [size =\"48576512\"]\n  3 [size=\"48112640\", alpha=\"0.00\", expect_size=\"19245056\"] \n  3 -> 33 [size =\"19245056\"]\n  3 -> 35 [size =\"19245056\"]\n  3 -> 38 [size =\"19245056\"]\n  3 -> 45 [size =\"19245056\"]\n  4 [size=\"44567040\", alpha=\"0.08\", expect_size=\"17826816\"] \n  4 -> 32 [size =\"17826816\"]\n  4 -> 34 [size =\"17826816\"]\n  4 -> 35 [size =\"17826816\"]\n  5 [size=\"63544320\", alpha=\"0.00\", expect_size=\"25417728\"] \n  5 -> 32 [size =\"25417728\"]\n  5 -> 33 [size =\"25417728\"]\n  5 -> 34 [size =\"25417728\"]\n  5 -> 36 [size =\"25417728\"]\n  5 -> 43 [size =\"25417728\"]\n  5 -> 45 [size =\"25417728\"]\n  6 [size=\"20533760\", alpha=\"0.14\", expect_size=\"8213504\"] \n  6 -> 36 [size =\"8213504\"]\n  6 -> 43 [size =\"8213504\"]\n  6 -> 45 [size =\"8213504\"]\n  7 [size=\"103511040\", alpha=\"0.18\", expect_size=\"41404416\"] \n  7 -> 35 [size =\"41404416\"]\n  7 -> 36 [size =\"41404416\"]\n  7 -> 45 [size =\"41404416\"]\n  8 [size=\"88168960\", alpha=\"0.03\", expect_size=\"35267584\"] \n  8 -> 40 [size =\"35267584\"]\n  8 -> 41 [size =\"35267584\"]\n  8 -> 45 [size =\"35267584\"]\n  9 [size=\"85928960\", alpha=\"0.14\", expect_size=\"34371584\"] \n  9 -> 32 [size =\"34371584\"]\n  10 [size=\"68784640\", alpha=\"0.06\", expect_size=\"27513856\"] \n  10 -> 33 [size =\"27513856\"]\n  10 -> 35 [size =\"27513856\"]\n  10 -> 36 [size =\"27513856\"]\n  11 [size=\"114734080\", alpha=\"0.11\", expect_size=\"45893632\"] \n  11 -> 32 [size =\"45893632\"]\n  11 -> 34 [size =\"45893632\"]\n  11 -> 35 [size =\"45893632\"]\n  11 -> 36 [size =\"45893632\"]\n  11 -> 37 [size =\"45893632\"]\n  11 -> 43 [size =\"45893632\"]\n  11 -> 44 [size =\"45893632\"]\n  12 [size=\"112878080\", alpha=\"0.15\", expect_size=\"45151232\"] \n  12 -> 35 [size =\"45151232\"]\n  12 -> 36 [size =\"45151232\"]\n  12 -> 41 [size =\"45151232\"]\n  12 -> 43 [size =\"45151232\"]\n  12 -> 45 [size =\"45151232\"]\n  13 [size=\"127275520\", alpha=\"0.04\", expect_size=\"50910208\"] \n  13 -> 36 [size =\"50910208\"]\n  13 -> 44 [size =\"50910208\"]\n  13 -> 45 [size =\"50910208\"]\n  14 [size=\"128110080\", alpha=\"0.17\", expect_size=\"51244032\"] \n  14 -> 36 [size =\"51244032\"]\n  15 [size=\"58176000\", alpha=\"0.02\", expect_size=\"23270400\"] \n  15 -> 35 [size =\"23270400\"]\n  15 -> 37 [size =\"23270400\"]\n  16 [size=\"60943360\", alpha=\"0.10\", expect_size=\"24377344\"] \n  16 -> 33 [size =\"24377344\"]\n  16 -> 35 [size =\"24377344\"]\n  16 -> 38 [size =\"24377344\"]\n  16 -> 45 [size =\"24377344\"]\n  17 [size=\"28226560\", alpha=\"0.15\", expect_size=\"11290624\"] \n  17 -> 32 [size =\"11290624\"]\n  17 -> 37 [size =\"11290624\"]\n  17 -> 38 [size =\"11290624\"]\n  17 -> 39 [size =\"11290624\"]\n  17 -> 44 [size =\"11290624\"]\n  18 [size=\"14653440\", alpha=\"0.14\", expect_size=\"5861376\"] \n  18 -> 32 [size =\"5861376\"]\n  18 -> 42 [size =\"5861376\"]\n  18 -> 45 [size =\"5861376\"]\n  19 [size=\"33945600\", alpha=\"0.06\", expect_size=\"13578240\"] \n  19 -> 32 [size =\"13578240\"]\n  19 -> 35 [size =\"13578240\"]\n  19 -> 36 [size =\"13578240\"]\n  19 -> 40 [size =\"13578240\"]\n  19 -> 42 [size =\"13578240\"]\n  20 [size=\"116659200\", alpha=\"0.16\", expect_size=\"46663680\"] \n  20 -> 37 [size =\"46663680\"]\n  21 [size=\"31224320\", alpha=\"0.01\", expect_size=\"12489728\"] \n  21 -> 33 [size =\"12489728\"]\n  21 -> 34 [size =\"12489728\"]\n  21 -> 35 [size =\"12489728\"]\n  21 -> 38 [size =\"12489728\"]\n  21 -> 41 [size =\"12489728\"]\n  21 -> 43 [size =\"12489728\"]\n  21 -> 45 [size =\"12489728\"]\n  22 [size=\"93969920\", alpha=\"0.05\", expect_size=\"37587968\"] \n  22 -> 34 [size =\"37587968\"]\n  22 -> 35 [size =\"37587968\"]\n  22 -> 36 [size =\"37587968\"]\n  23 [size=\"64793600\", alpha=\"0.14\", expect_size=\"25917440\"] \n  24 [size=\"86912000\", alpha=\"0.09\", expect_size=\"34764800\"] \n  24 -> 34 [size =\"34764800\"]\n  24 -> 35 [size =\"34764800\"]\n  24 -> 36 [size =\"34764800\"]\n  24 -> 44 [size =\"34764800\"]\n  25 [size=\"71485440\", alpha=\"0.13\", expect_size=\"28594176\"] \n  25 -> 34 [size =\"28594176\"]\n  25 -> 36 [size =\"28594176\"]\n  25 -> 38 [size =\"28594176\"]\n  25 -> 40 [size =\"28594176\"]\n  25 -> 44 [size =\"28594176\"]\n  25 -> 45 [size =\"28594176\"]\n  26 [size=\"82339840\", alpha=\"0.18\", expect_size=\"32935936\"] \n  26 -> 32 [size =\"32935936\"]\n  26 -> 36 [size =\"32935936\"]\n  26 -> 40 [size =\"32935936\"]\n  26 -> 41 [size =\"32935936\"]\n  27 [size=\"20986880\", alpha=\"0.18\", expect_size=\"8394752\"] \n  27 -> 32 [size =\"8394752\"]\n  28 [size=\"108695040\", alpha=\"0.10\", expect_size=\"43478016\"] \n  28 -> 32 [size =\"43478016\"]\n  28 -> 33 [size =\"43478016\"]\n  29 [size=\"73922560\", alpha=\"0.16\", expect_size=\"29569024\"] \n  29 -> 32 [size =\"29569024\"]\n  29 -> 33 [size =\"29569024\"]\n  29 -> 42 [size =\"29569024\"]\n  29 -> 45 [size =\"29569024\"]\n  30 [size=\"108692480\", alpha=\"0.10\", expect_size=\"43476992\"] \n  30 -> 32 [size =\"43476992\"]\n  30 -> 34 [size =\"43476992\"]\n  30 -> 38 [size =\"43476992\"]\n  30 -> 42 [size =\"43476992\"]\n  31 [size=\"82199040\", alpha=\"0.02\", expect_size=\"32879616\"] \n  31 -> 32 [size =\"32879616\"]\n  31 -> 34 [size =\"32879616\"]\n  31 -> 35 [size =\"32879616\"]\n  31 -> 38 [size =\"32879616\"]\n  32 [size=\"87237120\", alpha=\"0.11\", expect_size=\"34894848\"] \n  33 [size=\"114178560\", alpha=\"0.19\", expect_size=\"45671424\"] \n  34 [size=\"80064000\", alpha=\"0.07\", expect_size=\"32025600\"] \n  35 [size=\"16353280\", alpha=\"0.02\", expect_size=\"6541312\"] \n  36 [size=\"91450880\", alpha=\"0.05\", expect_size=\"36580352\"] \n  37 [size=\"76856320\", alpha=\"0.11\", expect_size=\"30742528\"] \n  38 [size=\"62973440\", alpha=\"0.18\", expect_size=\"25189376\"] \n  39 [size=\"124869120\", alpha=\"0.07\", expect_size=\"49947648\"] \n  40 [size=\"99432960\", alpha=\"0.15\", expect_size=\"39773184\"] \n  41 [size=\"42347520\", alpha=\"0.05\", expect_size=\"16939008\"] \n  42 [size=\"55237120\", alpha=\"0.09\", expect_size=\"22094848\"] \n  43 [size=\"119910400\", alpha=\"0.02\", expect_size=\"47964160\"] \n  44 [size=\"114611200\", alpha=\"0.07\", expect_size=\"45844480\"] \n  45 [size=\"36372480\", alpha=\"0.03\", expect_size=\"14548992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53670400\", alpha=\"0.09\", expect_size=\"21468160\"] \n  1 -> 18 [size =\"21468160\"]\n  1 -> 19 [size =\"21468160\"]\n  1 -> 21 [size =\"21468160\"]\n  1 -> 25 [size =\"21468160\"]\n  2 [size=\"36912640\", alpha=\"0.12\", expect_size=\"14765056\"] \n  2 -> 17 [size =\"14765056\"]\n  2 -> 19 [size =\"14765056\"]\n  2 -> 21 [size =\"14765056\"]\n  2 -> 25 [size =\"14765056\"]\n  2 -> 26 [size =\"14765056\"]\n  2 -> 27 [size =\"14765056\"]\n  3 [size=\"14709760\", alpha=\"0.19\", expect_size=\"5883904\"] \n  3 -> 24 [size =\"5883904\"]\n  3 -> 26 [size =\"5883904\"]\n  4 [size=\"71587840\", alpha=\"0.13\", expect_size=\"28635136\"] \n  4 -> 17 [size =\"28635136\"]\n  4 -> 22 [size =\"28635136\"]\n  5 [size=\"115581440\", alpha=\"0.15\", expect_size=\"46232576\"] \n  5 -> 19 [size =\"46232576\"]\n  5 -> 22 [size =\"46232576\"]\n  6 [size=\"75013120\", alpha=\"0.07\", expect_size=\"30005248\"] \n  6 -> 17 [size =\"30005248\"]\n  6 -> 19 [size =\"30005248\"]\n  7 [size=\"103329280\", alpha=\"0.08\", expect_size=\"41331712\"] \n  7 -> 17 [size =\"41331712\"]\n  7 -> 18 [size =\"41331712\"]\n  7 -> 19 [size =\"41331712\"]\n  7 -> 21 [size =\"41331712\"]\n  7 -> 25 [size =\"41331712\"]\n  7 -> 27 [size =\"41331712\"]\n  8 [size=\"82880000\", alpha=\"0.09\", expect_size=\"33152000\"] \n  8 -> 18 [size =\"33152000\"]\n  8 -> 19 [size =\"33152000\"]\n  8 -> 20 [size =\"33152000\"]\n  8 -> 21 [size =\"33152000\"]\n  8 -> 25 [size =\"33152000\"]\n  9 [size=\"113338880\", alpha=\"0.04\", expect_size=\"45335552\"] \n  9 -> 19 [size =\"45335552\"]\n  9 -> 20 [size =\"45335552\"]\n  9 -> 21 [size =\"45335552\"]\n  9 -> 21 [size =\"45335552\"]\n  9 -> 25 [size =\"45335552\"]\n  10 [size=\"87910400\", alpha=\"0.11\", expect_size=\"35164160\"] \n  10 -> 17 [size =\"35164160\"]\n  10 -> 18 [size =\"35164160\"]\n  10 -> 19 [size =\"35164160\"]\n  10 -> 24 [size =\"35164160\"]\n  10 -> 25 [size =\"35164160\"]\n  11 [size=\"74726400\", alpha=\"0.18\", expect_size=\"29890560\"] \n  11 -> 18 [size =\"29890560\"]\n  11 -> 21 [size =\"29890560\"]\n  11 -> 22 [size =\"29890560\"]\n  11 -> 23 [size =\"29890560\"]\n  11 -> 24 [size =\"29890560\"]\n  11 -> 27 [size =\"29890560\"]\n  12 [size=\"125841920\", alpha=\"0.16\", expect_size=\"50336768\"] \n  12 -> 17 [size =\"50336768\"]\n  12 -> 18 [size =\"50336768\"]\n  12 -> 22 [size =\"50336768\"]\n  12 -> 25 [size =\"50336768\"]\n  13 [size=\"77841920\", alpha=\"0.18\", expect_size=\"31136768\"] \n  13 -> 17 [size =\"31136768\"]\n  13 -> 18 [size =\"31136768\"]\n  13 -> 19 [size =\"31136768\"]\n  13 -> 22 [size =\"31136768\"]\n  13 -> 25 [size =\"31136768\"]\n  14 [size=\"74465280\", alpha=\"0.16\", expect_size=\"29786112\"] \n  14 -> 17 [size =\"29786112\"]\n  14 -> 20 [size =\"29786112\"]\n  14 -> 21 [size =\"29786112\"]\n  14 -> 24 [size =\"29786112\"]\n  14 -> 25 [size =\"29786112\"]\n  15 [size=\"30456320\", alpha=\"0.07\", expect_size=\"12182528\"] \n  15 -> 20 [size =\"12182528\"]\n  15 -> 24 [size =\"12182528\"]\n  16 [size=\"119726080\", alpha=\"0.15\", expect_size=\"47890432\"] \n  16 -> 20 [size =\"47890432\"]\n  16 -> 22 [size =\"47890432\"]\n  17 [size=\"43240960\", alpha=\"0.02\", expect_size=\"17296384\"] \n  17 -> 28 [size =\"17296384\"]\n  17 -> 30 [size =\"17296384\"]\n  17 -> 32 [size =\"17296384\"]\n  17 -> 34 [size =\"17296384\"]\n  17 -> 35 [size =\"17296384\"]\n  17 -> 37 [size =\"17296384\"]\n  18 [size=\"90071040\", alpha=\"0.03\", expect_size=\"36028416\"] \n  18 -> 30 [size =\"36028416\"]\n  18 -> 32 [size =\"36028416\"]\n  19 [size=\"25492480\", alpha=\"0.04\", expect_size=\"10196992\"] \n  19 -> 30 [size =\"10196992\"]\n  19 -> 34 [size =\"10196992\"]\n  19 -> 36 [size =\"10196992\"]\n  19 -> 39 [size =\"10196992\"]\n  20 [size=\"46709760\", alpha=\"0.10\", expect_size=\"18683904\"] \n  20 -> 28 [size =\"18683904\"]\n  20 -> 29 [size =\"18683904\"]\n  20 -> 30 [size =\"18683904\"]\n  20 -> 33 [size =\"18683904\"]\n  20 -> 34 [size =\"18683904\"]\n  20 -> 39 [size =\"18683904\"]\n  21 [size=\"113469440\", alpha=\"0.02\", expect_size=\"45387776\"] \n  21 -> 28 [size =\"45387776\"]\n  21 -> 30 [size =\"45387776\"]\n  21 -> 34 [size =\"45387776\"]\n  21 -> 35 [size =\"45387776\"]\n  21 -> 37 [size =\"45387776\"]\n  22 [size=\"103910400\", alpha=\"0.18\", expect_size=\"41564160\"] \n  22 -> 29 [size =\"41564160\"]\n  22 -> 34 [size =\"41564160\"]\n  22 -> 36 [size =\"41564160\"]\n  22 -> 38 [size =\"41564160\"]\n  23 [size=\"82475520\", alpha=\"0.15\", expect_size=\"32990208\"] \n  23 -> 29 [size =\"32990208\"]\n  23 -> 35 [size =\"32990208\"]\n  23 -> 36 [size =\"32990208\"]\n  23 -> 38 [size =\"32990208\"]\n  24 [size=\"70525440\", alpha=\"0.02\", expect_size=\"28210176\"] \n  24 -> 35 [size =\"28210176\"]\n  24 -> 37 [size =\"28210176\"]\n  25 [size=\"46620160\", alpha=\"0.06\", expect_size=\"18648064\"] \n  25 -> 28 [size =\"18648064\"]\n  25 -> 31 [size =\"18648064\"]\n  25 -> 34 [size =\"18648064\"]\n  25 -> 36 [size =\"18648064\"]\n  25 -> 37 [size =\"18648064\"]\n  25 -> 38 [size =\"18648064\"]\n  25 -> 40 [size =\"18648064\"]\n  26 [size=\"90754560\", alpha=\"0.00\", expect_size=\"36301824\"] \n  26 -> 28 [size =\"36301824\"]\n  26 -> 30 [size =\"36301824\"]\n  26 -> 36 [size =\"36301824\"]\n  26 -> 37 [size =\"36301824\"]\n  27 [size=\"63316480\", alpha=\"0.10\", expect_size=\"25326592\"] \n  27 -> 28 [size =\"25326592\"]\n  27 -> 30 [size =\"25326592\"]\n  27 -> 35 [size =\"25326592\"]\n  27 -> 36 [size =\"25326592\"]\n  28 [size=\"77980160\", alpha=\"0.12\", expect_size=\"31192064\"] \n  28 -> 43 [size =\"31192064\"]\n  28 -> 44 [size =\"31192064\"]\n  29 [size=\"93885440\", alpha=\"0.10\", expect_size=\"37554176\"] \n  29 -> 44 [size =\"37554176\"]\n  30 [size=\"117770240\", alpha=\"0.02\", expect_size=\"47108096\"] \n  30 -> 43 [size =\"47108096\"]\n  30 -> 44 [size =\"47108096\"]\n  31 [size=\"56284160\", alpha=\"0.03\", expect_size=\"22513664\"] \n  31 -> 43 [size =\"22513664\"]\n  32 [size=\"67955200\", alpha=\"0.04\", expect_size=\"27182080\"] \n  32 -> 45 [size =\"27182080\"]\n  33 [size=\"58629120\", alpha=\"0.16\", expect_size=\"23451648\"] \n  33 -> 42 [size =\"23451648\"]\n  33 -> 44 [size =\"23451648\"]\n  33 -> 45 [size =\"23451648\"]\n  34 [size=\"29905920\", alpha=\"0.18\", expect_size=\"11962368\"] \n  34 -> 41 [size =\"11962368\"]\n  34 -> 42 [size =\"11962368\"]\n  34 -> 44 [size =\"11962368\"]\n  34 -> 45 [size =\"11962368\"]\n  35 [size=\"40273920\", alpha=\"0.03\", expect_size=\"16109568\"] \n  35 -> 42 [size =\"16109568\"]\n  35 -> 43 [size =\"16109568\"]\n  36 [size=\"74237440\", alpha=\"0.07\", expect_size=\"29694976\"] \n  36 -> 41 [size =\"29694976\"]\n  36 -> 42 [size =\"29694976\"]\n  37 [size=\"75745280\", alpha=\"0.15\", expect_size=\"30298112\"] \n  37 -> 41 [size =\"30298112\"]\n  37 -> 43 [size =\"30298112\"]\n  37 -> 44 [size =\"30298112\"]\n  38 [size=\"17052160\", alpha=\"0.16\", expect_size=\"6820864\"] \n  38 -> 43 [size =\"6820864\"]\n  38 -> 44 [size =\"6820864\"]\n  39 [size=\"85898240\", alpha=\"0.00\", expect_size=\"34359296\"] \n  39 -> 41 [size =\"34359296\"]\n  39 -> 43 [size =\"34359296\"]\n  39 -> 44 [size =\"34359296\"]\n  39 -> 45 [size =\"34359296\"]\n  40 [size=\"28623360\", alpha=\"0.09\", expect_size=\"11449344\"] \n  40 -> 42 [size =\"11449344\"]\n  40 -> 43 [size =\"11449344\"]\n  41 [size=\"37995520\", alpha=\"0.15\", expect_size=\"15198208\"] \n  42 [size=\"57669120\", alpha=\"0.17\", expect_size=\"23067648\"] \n  43 [size=\"82414080\", alpha=\"0.10\", expect_size=\"32965632\"] \n  44 [size=\"59002880\", alpha=\"0.14\", expect_size=\"23601152\"] \n  45 [size=\"48793600\", alpha=\"0.02\", expect_size=\"19517440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70707200\", alpha=\"0.20\", expect_size=\"21212160\"] \n  1 -> 42 [size =\"21212160\"]\n  2 [size=\"86381227\", alpha=\"0.13\", expect_size=\"25914368\"] \n  2 -> 41 [size =\"25914368\"]\n  3 [size=\"85131947\", alpha=\"0.09\", expect_size=\"25539584\"] \n  3 -> 40 [size =\"25539584\"]\n  3 -> 41 [size =\"25539584\"]\n  3 -> 43 [size =\"25539584\"]\n  3 -> 45 [size =\"25539584\"]\n  4 [size=\"144274773\", alpha=\"0.09\", expect_size=\"43282432\"] \n  4 -> 37 [size =\"43282432\"]\n  4 -> 40 [size =\"43282432\"]\n  4 -> 43 [size =\"43282432\"]\n  4 -> 44 [size =\"43282432\"]\n  4 -> 45 [size =\"43282432\"]\n  5 [size=\"102273707\", alpha=\"0.16\", expect_size=\"30682112\"] \n  5 -> 40 [size =\"30682112\"]\n  5 -> 41 [size =\"30682112\"]\n  5 -> 43 [size =\"30682112\"]\n  5 -> 44 [size =\"30682112\"]\n  5 -> 45 [size =\"30682112\"]\n  6 [size=\"124020053\", alpha=\"0.16\", expect_size=\"37206016\"] \n  6 -> 37 [size =\"37206016\"]\n  6 -> 39 [size =\"37206016\"]\n  6 -> 40 [size =\"37206016\"]\n  6 -> 42 [size =\"37206016\"]\n  6 -> 44 [size =\"37206016\"]\n  6 -> 45 [size =\"37206016\"]\n  7 [size=\"65017173\", alpha=\"0.03\", expect_size=\"19505152\"] \n  7 -> 37 [size =\"19505152\"]\n  7 -> 44 [size =\"19505152\"]\n  8 [size=\"99143680\", alpha=\"0.13\", expect_size=\"29743104\"] \n  8 -> 40 [size =\"29743104\"]\n  9 [size=\"172328960\", alpha=\"0.11\", expect_size=\"51698688\"] \n  9 -> 41 [size =\"51698688\"]\n  9 -> 43 [size =\"51698688\"]\n  10 [size=\"92470613\", alpha=\"0.07\", expect_size=\"27741184\"] \n  10 -> 37 [size =\"27741184\"]\n  10 -> 40 [size =\"27741184\"]\n  10 -> 41 [size =\"27741184\"]\n  10 -> 43 [size =\"27741184\"]\n  11 [size=\"121992533\", alpha=\"0.07\", expect_size=\"36597760\"] \n  11 -> 37 [size =\"36597760\"]\n  11 -> 40 [size =\"36597760\"]\n  11 -> 44 [size =\"36597760\"]\n  11 -> 45 [size =\"36597760\"]\n  12 [size=\"120913920\", alpha=\"0.11\", expect_size=\"36274176\"] \n  13 [size=\"65150293\", alpha=\"0.12\", expect_size=\"19545088\"] \n  13 -> 37 [size =\"19545088\"]\n  13 -> 38 [size =\"19545088\"]\n  13 -> 39 [size =\"19545088\"]\n  13 -> 45 [size =\"19545088\"]\n  14 [size=\"138499413\", alpha=\"0.11\", expect_size=\"41549824\"] \n  14 -> 39 [size =\"41549824\"]\n  14 -> 45 [size =\"41549824\"]\n  15 [size=\"50950827\", alpha=\"0.01\", expect_size=\"15285248\"] \n  15 -> 37 [size =\"15285248\"]\n  15 -> 43 [size =\"15285248\"]\n  15 -> 45 [size =\"15285248\"]\n  16 [size=\"22603093\", alpha=\"0.06\", expect_size=\"6780928\"] \n  16 -> 36 [size =\"6780928\"]\n  16 -> 38 [size =\"6780928\"]\n  16 -> 40 [size =\"6780928\"]\n  16 -> 41 [size =\"6780928\"]\n  16 -> 44 [size =\"6780928\"]\n  17 [size=\"145701547\", alpha=\"0.04\", expect_size=\"43710464\"] \n  17 -> 38 [size =\"43710464\"]\n  17 -> 39 [size =\"43710464\"]\n  17 -> 40 [size =\"43710464\"]\n  17 -> 44 [size =\"43710464\"]\n  17 -> 44 [size =\"43710464\"]\n  18 [size=\"167082667\", alpha=\"0.12\", expect_size=\"50124800\"] \n  18 -> 37 [size =\"50124800\"]\n  18 -> 41 [size =\"50124800\"]\n  18 -> 44 [size =\"50124800\"]\n  19 [size=\"111953920\", alpha=\"0.01\", expect_size=\"33586176\"] \n  19 -> 37 [size =\"33586176\"]\n  19 -> 40 [size =\"33586176\"]\n  19 -> 41 [size =\"33586176\"]\n  19 -> 43 [size =\"33586176\"]\n  20 [size=\"39574187\", alpha=\"0.07\", expect_size=\"11872256\"] \n  20 -> 41 [size =\"11872256\"]\n  20 -> 43 [size =\"11872256\"]\n  20 -> 45 [size =\"11872256\"]\n  21 [size=\"94532267\", alpha=\"0.19\", expect_size=\"28359680\"] \n  21 -> 37 [size =\"28359680\"]\n  21 -> 43 [size =\"28359680\"]\n  21 -> 44 [size =\"28359680\"]\n  21 -> 45 [size =\"28359680\"]\n  22 [size=\"146916693\", alpha=\"0.01\", expect_size=\"44075008\"] \n  22 -> 38 [size =\"44075008\"]\n  22 -> 43 [size =\"44075008\"]\n  22 -> 44 [size =\"44075008\"]\n  22 -> 45 [size =\"44075008\"]\n  23 [size=\"75554133\", alpha=\"0.10\", expect_size=\"22666240\"] \n  23 -> 38 [size =\"22666240\"]\n  23 -> 40 [size =\"22666240\"]\n  23 -> 42 [size =\"22666240\"]\n  23 -> 45 [size =\"22666240\"]\n  24 [size=\"168618667\", alpha=\"0.16\", expect_size=\"50585600\"] \n  24 -> 40 [size =\"50585600\"]\n  24 -> 41 [size =\"50585600\"]\n  24 -> 43 [size =\"50585600\"]\n  25 [size=\"98515627\", alpha=\"0.13\", expect_size=\"29554688\"] \n  25 -> 41 [size =\"29554688\"]\n  25 -> 45 [size =\"29554688\"]\n  26 [size=\"103611733\", alpha=\"0.04\", expect_size=\"31083520\"] \n  26 -> 37 [size =\"31083520\"]\n  26 -> 45 [size =\"31083520\"]\n  27 [size=\"154163200\", alpha=\"0.00\", expect_size=\"46248960\"] \n  27 -> 40 [size =\"46248960\"]\n  27 -> 43 [size =\"46248960\"]\n  27 -> 44 [size =\"46248960\"]\n  28 [size=\"28013227\", alpha=\"0.07\", expect_size=\"8403968\"] \n  28 -> 37 [size =\"8403968\"]\n  28 -> 41 [size =\"8403968\"]\n  28 -> 45 [size =\"8403968\"]\n  29 [size=\"122432853\", alpha=\"0.13\", expect_size=\"36729856\"] \n  29 -> 37 [size =\"36729856\"]\n  29 -> 41 [size =\"36729856\"]\n  29 -> 43 [size =\"36729856\"]\n  30 [size=\"129682773\", alpha=\"0.09\", expect_size=\"38904832\"] \n  30 -> 37 [size =\"38904832\"]\n  30 -> 45 [size =\"38904832\"]\n  31 [size=\"25009493\", alpha=\"0.19\", expect_size=\"7502848\"] \n  31 -> 37 [size =\"7502848\"]\n  32 [size=\"18923520\", alpha=\"0.01\", expect_size=\"5677056\"] \n  32 -> 37 [size =\"5677056\"]\n  32 -> 43 [size =\"5677056\"]\n  32 -> 44 [size =\"5677056\"]\n  33 [size=\"23053653\", alpha=\"0.10\", expect_size=\"6916096\"] \n  33 -> 37 [size =\"6916096\"]\n  33 -> 39 [size =\"6916096\"]\n  33 -> 43 [size =\"6916096\"]\n  33 -> 44 [size =\"6916096\"]\n  33 -> 45 [size =\"6916096\"]\n  34 [size=\"105052160\", alpha=\"0.13\", expect_size=\"31515648\"] \n  34 -> 38 [size =\"31515648\"]\n  34 -> 39 [size =\"31515648\"]\n  35 [size=\"77148160\", alpha=\"0.02\", expect_size=\"23144448\"] \n  35 -> 38 [size =\"23144448\"]\n  35 -> 41 [size =\"23144448\"]\n  35 -> 42 [size =\"23144448\"]\n  35 -> 43 [size =\"23144448\"]\n  35 -> 44 [size =\"23144448\"]\n  36 [size=\"24142507\", alpha=\"0.10\", expect_size=\"7242752\"] \n  37 [size=\"52578987\", alpha=\"0.16\", expect_size=\"15773696\"] \n  38 [size=\"52715520\", alpha=\"0.20\", expect_size=\"15814656\"] \n  39 [size=\"106216107\", alpha=\"0.16\", expect_size=\"31864832\"] \n  40 [size=\"53367467\", alpha=\"0.15\", expect_size=\"16010240\"] \n  41 [size=\"126446933\", alpha=\"0.04\", expect_size=\"37934080\"] \n  42 [size=\"115404800\", alpha=\"0.09\", expect_size=\"34621440\"] \n  43 [size=\"123675307\", alpha=\"0.01\", expect_size=\"37102592\"] \n  44 [size=\"41649493\", alpha=\"0.13\", expect_size=\"12494848\"] \n  45 [size=\"147640320\", alpha=\"0.15\", expect_size=\"44292096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83132416\", alpha=\"0.18\", expect_size=\"41566208\"] \n  1 -> 7 [size =\"41566208\"]\n  1 -> 8 [size =\"41566208\"]\n  2 [size=\"37156864\", alpha=\"0.18\", expect_size=\"18578432\"] \n  2 -> 7 [size =\"18578432\"]\n  2 -> 8 [size =\"18578432\"]\n  3 [size=\"62980096\", alpha=\"0.12\", expect_size=\"31490048\"] \n  3 -> 7 [size =\"31490048\"]\n  3 -> 8 [size =\"31490048\"]\n  4 [size=\"72286208\", alpha=\"0.01\", expect_size=\"36143104\"] \n  4 -> 7 [size =\"36143104\"]\n  5 [size=\"102363136\", alpha=\"0.02\", expect_size=\"51181568\"] \n  5 -> 8 [size =\"51181568\"]\n  5 -> 9 [size =\"51181568\"]\n  6 [size=\"45561856\", alpha=\"0.09\", expect_size=\"22780928\"] \n  6 -> 7 [size =\"22780928\"]\n  6 -> 8 [size =\"22780928\"]\n  7 [size=\"91760640\", alpha=\"0.04\", expect_size=\"45880320\"] \n  7 -> 10 [size =\"45880320\"]\n  7 -> 11 [size =\"45880320\"]\n  7 -> 12 [size =\"45880320\"]\n  7 -> 13 [size =\"45880320\"]\n  7 -> 14 [size =\"45880320\"]\n  8 [size=\"51245056\", alpha=\"0.05\", expect_size=\"25622528\"] \n  8 -> 10 [size =\"25622528\"]\n  8 -> 11 [size =\"25622528\"]\n  8 -> 12 [size =\"25622528\"]\n  8 -> 13 [size =\"25622528\"]\n  8 -> 14 [size =\"25622528\"]\n  9 [size=\"97857536\", alpha=\"0.09\", expect_size=\"48928768\"] \n  9 -> 10 [size =\"48928768\"]\n  9 -> 13 [size =\"48928768\"]\n  9 -> 14 [size =\"48928768\"]\n  10 [size=\"78741504\", alpha=\"0.05\", expect_size=\"39370752\"] \n  10 -> 15 [size =\"39370752\"]\n  10 -> 16 [size =\"39370752\"]\n  10 -> 17 [size =\"39370752\"]\n  10 -> 18 [size =\"39370752\"]\n  10 -> 19 [size =\"39370752\"]\n  10 -> 20 [size =\"39370752\"]\n  11 [size=\"32821248\", alpha=\"0.16\", expect_size=\"16410624\"] \n  11 -> 15 [size =\"16410624\"]\n  11 -> 17 [size =\"16410624\"]\n  11 -> 18 [size =\"16410624\"]\n  11 -> 20 [size =\"16410624\"]\n  12 [size=\"24102912\", alpha=\"0.18\", expect_size=\"12051456\"] \n  12 -> 15 [size =\"12051456\"]\n  12 -> 16 [size =\"12051456\"]\n  12 -> 17 [size =\"12051456\"]\n  12 -> 18 [size =\"12051456\"]\n  13 [size=\"13318144\", alpha=\"0.03\", expect_size=\"6659072\"] \n  13 -> 15 [size =\"6659072\"]\n  13 -> 16 [size =\"6659072\"]\n  13 -> 17 [size =\"6659072\"]\n  13 -> 18 [size =\"6659072\"]\n  14 [size=\"70858752\", alpha=\"0.20\", expect_size=\"35429376\"] \n  14 -> 15 [size =\"35429376\"]\n  14 -> 16 [size =\"35429376\"]\n  14 -> 17 [size =\"35429376\"]\n  14 -> 18 [size =\"35429376\"]\n  15 [size=\"74924032\", alpha=\"0.13\", expect_size=\"37462016\"] \n  15 -> 21 [size =\"37462016\"]\n  15 -> 22 [size =\"37462016\"]\n  16 [size=\"84844544\", alpha=\"0.05\", expect_size=\"42422272\"] \n  16 -> 24 [size =\"42422272\"]\n  17 [size=\"31729664\", alpha=\"0.06\", expect_size=\"15864832\"] \n  17 -> 21 [size =\"15864832\"]\n  17 -> 23 [size =\"15864832\"]\n  17 -> 24 [size =\"15864832\"]\n  18 [size=\"50976768\", alpha=\"0.17\", expect_size=\"25488384\"] \n  18 -> 21 [size =\"25488384\"]\n  18 -> 23 [size =\"25488384\"]\n  18 -> 24 [size =\"25488384\"]\n  19 [size=\"73699328\", alpha=\"0.19\", expect_size=\"36849664\"] \n  19 -> 21 [size =\"36849664\"]\n  19 -> 22 [size =\"36849664\"]\n  20 [size=\"22296576\", alpha=\"0.14\", expect_size=\"11148288\"] \n  20 -> 21 [size =\"11148288\"]\n  20 -> 22 [size =\"11148288\"]\n  21 [size=\"45948928\", alpha=\"0.04\", expect_size=\"22974464\"] \n  21 -> 25 [size =\"22974464\"]\n  21 -> 27 [size =\"22974464\"]\n  21 -> 28 [size =\"22974464\"]\n  21 -> 29 [size =\"22974464\"]\n  21 -> 30 [size =\"22974464\"]\n  21 -> 30 [size =\"22974464\"]\n  21 -> 31 [size =\"22974464\"]\n  22 [size=\"25907200\", alpha=\"0.01\", expect_size=\"12953600\"] \n  22 -> 25 [size =\"12953600\"]\n  22 -> 26 [size =\"12953600\"]\n  22 -> 29 [size =\"12953600\"]\n  22 -> 29 [size =\"12953600\"]\n  22 -> 31 [size =\"12953600\"]\n  23 [size=\"15783936\", alpha=\"0.08\", expect_size=\"7891968\"] \n  23 -> 25 [size =\"7891968\"]\n  23 -> 26 [size =\"7891968\"]\n  23 -> 30 [size =\"7891968\"]\n  23 -> 31 [size =\"7891968\"]\n  23 -> 31 [size =\"7891968\"]\n  24 [size=\"28250112\", alpha=\"0.08\", expect_size=\"14125056\"] \n  24 -> 25 [size =\"14125056\"]\n  24 -> 26 [size =\"14125056\"]\n  24 -> 27 [size =\"14125056\"]\n  24 -> 28 [size =\"14125056\"]\n  24 -> 29 [size =\"14125056\"]\n  24 -> 30 [size =\"14125056\"]\n  25 [size=\"27316224\", alpha=\"0.08\", expect_size=\"13658112\"] \n  25 -> 32 [size =\"13658112\"]\n  25 -> 33 [size =\"13658112\"]\n  25 -> 35 [size =\"13658112\"]\n  25 -> 36 [size =\"13658112\"]\n  25 -> 37 [size =\"13658112\"]\n  26 [size=\"90793984\", alpha=\"0.15\", expect_size=\"45396992\"] \n  26 -> 33 [size =\"45396992\"]\n  26 -> 34 [size =\"45396992\"]\n  26 -> 36 [size =\"45396992\"]\n  26 -> 37 [size =\"45396992\"]\n  27 [size=\"18874368\", alpha=\"0.20\", expect_size=\"9437184\"] \n  27 -> 32 [size =\"9437184\"]\n  27 -> 33 [size =\"9437184\"]\n  27 -> 34 [size =\"9437184\"]\n  27 -> 36 [size =\"9437184\"]\n  27 -> 37 [size =\"9437184\"]\n  28 [size=\"46389248\", alpha=\"0.13\", expect_size=\"23194624\"] \n  28 -> 32 [size =\"23194624\"]\n  28 -> 33 [size =\"23194624\"]\n  28 -> 34 [size =\"23194624\"]\n  28 -> 35 [size =\"23194624\"]\n  28 -> 36 [size =\"23194624\"]\n  29 [size=\"32311296\", alpha=\"0.05\", expect_size=\"16155648\"] \n  29 -> 32 [size =\"16155648\"]\n  29 -> 33 [size =\"16155648\"]\n  29 -> 34 [size =\"16155648\"]\n  29 -> 37 [size =\"16155648\"]\n  30 [size=\"27013120\", alpha=\"0.11\", expect_size=\"13506560\"] \n  30 -> 34 [size =\"13506560\"]\n  30 -> 36 [size =\"13506560\"]\n  30 -> 37 [size =\"13506560\"]\n  31 [size=\"92928000\", alpha=\"0.02\", expect_size=\"46464000\"] \n  31 -> 33 [size =\"46464000\"]\n  31 -> 34 [size =\"46464000\"]\n  31 -> 36 [size =\"46464000\"]\n  32 [size=\"19591168\", alpha=\"0.15\", expect_size=\"9795584\"] \n  32 -> 38 [size =\"9795584\"]\n  32 -> 40 [size =\"9795584\"]\n  32 -> 42 [size =\"9795584\"]\n  33 [size=\"22415360\", alpha=\"0.10\", expect_size=\"11207680\"] \n  33 -> 38 [size =\"11207680\"]\n  33 -> 39 [size =\"11207680\"]\n  33 -> 41 [size =\"11207680\"]\n  33 -> 42 [size =\"11207680\"]\n  34 [size=\"59525120\", alpha=\"0.17\", expect_size=\"29762560\"] \n  34 -> 38 [size =\"29762560\"]\n  34 -> 39 [size =\"29762560\"]\n  34 -> 40 [size =\"29762560\"]\n  34 -> 41 [size =\"29762560\"]\n  34 -> 42 [size =\"29762560\"]\n  34 -> 43 [size =\"29762560\"]\n  34 -> 44 [size =\"29762560\"]\n  35 [size=\"98349056\", alpha=\"0.18\", expect_size=\"49174528\"] \n  35 -> 39 [size =\"49174528\"]\n  35 -> 42 [size =\"49174528\"]\n  35 -> 43 [size =\"49174528\"]\n  35 -> 44 [size =\"49174528\"]\n  36 [size=\"42022912\", alpha=\"0.14\", expect_size=\"21011456\"] \n  36 -> 39 [size =\"21011456\"]\n  36 -> 40 [size =\"21011456\"]\n  36 -> 41 [size =\"21011456\"]\n  36 -> 42 [size =\"21011456\"]\n  36 -> 43 [size =\"21011456\"]\n  37 [size=\"19994624\", alpha=\"0.15\", expect_size=\"9997312\"] \n  37 -> 39 [size =\"9997312\"]\n  37 -> 40 [size =\"9997312\"]\n  37 -> 42 [size =\"9997312\"]\n  38 [size=\"19169280\", alpha=\"0.05\", expect_size=\"9584640\"] \n  39 [size=\"80306176\", alpha=\"0.08\", expect_size=\"40153088\"] \n  39 -> 45 [size =\"40153088\"]\n  40 [size=\"102035456\", alpha=\"0.13\", expect_size=\"51017728\"] \n  40 -> 45 [size =\"51017728\"]\n  41 [size=\"58243072\", alpha=\"0.06\", expect_size=\"29121536\"] \n  42 [size=\"65634304\", alpha=\"0.03\", expect_size=\"32817152\"] \n  43 [size=\"43460608\", alpha=\"0.00\", expect_size=\"21730304\"] \n  44 [size=\"88922112\", alpha=\"0.01\", expect_size=\"44461056\"] \n  44 -> 45 [size =\"44461056\"]\n  45 [size=\"73650176\", alpha=\"0.06\", expect_size=\"36825088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30214827\", alpha=\"0.18\", expect_size=\"9064448\"] \n  2 [size=\"77759147\", alpha=\"0.19\", expect_size=\"23327744\"] \n  3 [size=\"25856000\", alpha=\"0.12\", expect_size=\"7756800\"] \n  3 -> 16 [size =\"7756800\"]\n  3 -> 17 [size =\"7756800\"]\n  3 -> 27 [size =\"7756800\"]\n  3 -> 28 [size =\"7756800\"]\n  3 -> 30 [size =\"7756800\"]\n  3 -> 32 [size =\"7756800\"]\n  4 [size=\"128402773\", alpha=\"0.09\", expect_size=\"38520832\"] \n  4 -> 23 [size =\"38520832\"]\n  4 -> 26 [size =\"38520832\"]\n  4 -> 28 [size =\"38520832\"]\n  4 -> 31 [size =\"38520832\"]\n  5 [size=\"111578453\", alpha=\"0.11\", expect_size=\"33473536\"] \n  5 -> 16 [size =\"33473536\"]\n  5 -> 17 [size =\"33473536\"]\n  5 -> 20 [size =\"33473536\"]\n  5 -> 27 [size =\"33473536\"]\n  5 -> 29 [size =\"33473536\"]\n  5 -> 30 [size =\"33473536\"]\n  6 [size=\"123842560\", alpha=\"0.01\", expect_size=\"37152768\"] \n  6 -> 21 [size =\"37152768\"]\n  6 -> 23 [size =\"37152768\"]\n  6 -> 25 [size =\"37152768\"]\n  6 -> 27 [size =\"37152768\"]\n  6 -> 30 [size =\"37152768\"]\n  6 -> 31 [size =\"37152768\"]\n  7 [size=\"108909227\", alpha=\"0.16\", expect_size=\"32672768\"] \n  7 -> 16 [size =\"32672768\"]\n  7 -> 17 [size =\"32672768\"]\n  7 -> 21 [size =\"32672768\"]\n  7 -> 25 [size =\"32672768\"]\n  7 -> 27 [size =\"32672768\"]\n  8 [size=\"98522453\", alpha=\"0.05\", expect_size=\"29556736\"] \n  8 -> 27 [size =\"29556736\"]\n  8 -> 28 [size =\"29556736\"]\n  8 -> 32 [size =\"29556736\"]\n  9 [size=\"131976533\", alpha=\"0.03\", expect_size=\"39592960\"] \n  9 -> 17 [size =\"39592960\"]\n  9 -> 27 [size =\"39592960\"]\n  9 -> 32 [size =\"39592960\"]\n  10 [size=\"87889920\", alpha=\"0.05\", expect_size=\"26366976\"] \n  10 -> 16 [size =\"26366976\"]\n  10 -> 21 [size =\"26366976\"]\n  10 -> 24 [size =\"26366976\"]\n  10 -> 27 [size =\"26366976\"]\n  10 -> 28 [size =\"26366976\"]\n  10 -> 29 [size =\"26366976\"]\n  10 -> 32 [size =\"26366976\"]\n  11 [size=\"36099413\", alpha=\"0.20\", expect_size=\"10829824\"] \n  11 -> 25 [size =\"10829824\"]\n  11 -> 28 [size =\"10829824\"]\n  11 -> 29 [size =\"10829824\"]\n  11 -> 31 [size =\"10829824\"]\n  11 -> 32 [size =\"10829824\"]\n  12 [size=\"174475947\", alpha=\"0.12\", expect_size=\"52342784\"] \n  12 -> 16 [size =\"52342784\"]\n  12 -> 26 [size =\"52342784\"]\n  12 -> 28 [size =\"52342784\"]\n  12 -> 29 [size =\"52342784\"]\n  13 [size=\"164181333\", alpha=\"0.17\", expect_size=\"49254400\"] \n  13 -> 16 [size =\"49254400\"]\n  13 -> 18 [size =\"49254400\"]\n  13 -> 19 [size =\"49254400\"]\n  13 -> 29 [size =\"49254400\"]\n  13 -> 32 [size =\"49254400\"]\n  14 [size=\"98088960\", alpha=\"0.04\", expect_size=\"29426688\"] \n  14 -> 25 [size =\"29426688\"]\n  14 -> 28 [size =\"29426688\"]\n  14 -> 31 [size =\"29426688\"]\n  14 -> 32 [size =\"29426688\"]\n  15 [size=\"171874987\", alpha=\"0.17\", expect_size=\"51562496\"] \n  15 -> 17 [size =\"51562496\"]\n  15 -> 21 [size =\"51562496\"]\n  15 -> 22 [size =\"51562496\"]\n  15 -> 25 [size =\"51562496\"]\n  15 -> 30 [size =\"51562496\"]\n  15 -> 31 [size =\"51562496\"]\n  15 -> 32 [size =\"51562496\"]\n  16 [size=\"98560000\", alpha=\"0.00\", expect_size=\"29568000\"] \n  16 -> 33 [size =\"29568000\"]\n  16 -> 35 [size =\"29568000\"]\n  17 [size=\"110117547\", alpha=\"0.07\", expect_size=\"33035264\"] \n  17 -> 33 [size =\"33035264\"]\n  17 -> 34 [size =\"33035264\"]\n  17 -> 40 [size =\"33035264\"]\n  18 [size=\"81957547\", alpha=\"0.14\", expect_size=\"24587264\"] \n  18 -> 33 [size =\"24587264\"]\n  18 -> 42 [size =\"24587264\"]\n  19 [size=\"119838720\", alpha=\"0.11\", expect_size=\"35951616\"] \n  19 -> 33 [size =\"35951616\"]\n  19 -> 37 [size =\"35951616\"]\n  20 [size=\"143561387\", alpha=\"0.05\", expect_size=\"43068416\"] \n  20 -> 40 [size =\"43068416\"]\n  21 [size=\"25292800\", alpha=\"0.20\", expect_size=\"7587840\"] \n  21 -> 34 [size =\"7587840\"]\n  21 -> 35 [size =\"7587840\"]\n  21 -> 39 [size =\"7587840\"]\n  21 -> 42 [size =\"7587840\"]\n  22 [size=\"22923947\", alpha=\"0.03\", expect_size=\"6877184\"] \n  22 -> 38 [size =\"6877184\"]\n  22 -> 41 [size =\"6877184\"]\n  22 -> 42 [size =\"6877184\"]\n  23 [size=\"118374400\", alpha=\"0.07\", expect_size=\"35512320\"] \n  23 -> 33 [size =\"35512320\"]\n  23 -> 34 [size =\"35512320\"]\n  23 -> 35 [size =\"35512320\"]\n  23 -> 37 [size =\"35512320\"]\n  24 [size=\"92508160\", alpha=\"0.05\", expect_size=\"27752448\"] \n  24 -> 33 [size =\"27752448\"]\n  24 -> 34 [size =\"27752448\"]\n  24 -> 35 [size =\"27752448\"]\n  24 -> 36 [size =\"27752448\"]\n  24 -> 37 [size =\"27752448\"]\n  24 -> 38 [size =\"27752448\"]\n  25 [size=\"124183893\", alpha=\"0.15\", expect_size=\"37255168\"] \n  25 -> 34 [size =\"37255168\"]\n  25 -> 34 [size =\"37255168\"]\n  25 -> 35 [size =\"37255168\"]\n  25 -> 37 [size =\"37255168\"]\n  25 -> 38 [size =\"37255168\"]\n  25 -> 42 [size =\"37255168\"]\n  26 [size=\"98413227\", alpha=\"0.19\", expect_size=\"29523968\"] \n  26 -> 34 [size =\"29523968\"]\n  26 -> 42 [size =\"29523968\"]\n  27 [size=\"101560320\", alpha=\"0.14\", expect_size=\"30468096\"] \n  27 -> 42 [size =\"30468096\"]\n  28 [size=\"158624427\", alpha=\"0.00\", expect_size=\"47587328\"] \n  28 -> 33 [size =\"47587328\"]\n  28 -> 35 [size =\"47587328\"]\n  28 -> 36 [size =\"47587328\"]\n  28 -> 37 [size =\"47587328\"]\n  28 -> 38 [size =\"47587328\"]\n  28 -> 39 [size =\"47587328\"]\n  28 -> 41 [size =\"47587328\"]\n  28 -> 42 [size =\"47587328\"]\n  29 [size=\"113674240\", alpha=\"0.00\", expect_size=\"34102272\"] \n  29 -> 35 [size =\"34102272\"]\n  29 -> 37 [size =\"34102272\"]\n  29 -> 42 [size =\"34102272\"]\n  30 [size=\"41253547\", alpha=\"0.09\", expect_size=\"12376064\"] \n  30 -> 39 [size =\"12376064\"]\n  31 [size=\"76898987\", alpha=\"0.01\", expect_size=\"23069696\"] \n  31 -> 35 [size =\"23069696\"]\n  31 -> 36 [size =\"23069696\"]\n  32 [size=\"76069547\", alpha=\"0.12\", expect_size=\"22820864\"] \n  32 -> 33 [size =\"22820864\"]\n  32 -> 35 [size =\"22820864\"]\n  32 -> 37 [size =\"22820864\"]\n  32 -> 38 [size =\"22820864\"]\n  32 -> 42 [size =\"22820864\"]\n  33 [size=\"99048107\", alpha=\"0.02\", expect_size=\"29714432\"] \n  34 [size=\"154214400\", alpha=\"0.03\", expect_size=\"46264320\"] \n  34 -> 43 [size =\"46264320\"]\n  35 [size=\"37932373\", alpha=\"0.03\", expect_size=\"11379712\"] \n  35 -> 45 [size =\"11379712\"]\n  36 [size=\"158873600\", alpha=\"0.13\", expect_size=\"47662080\"] \n  36 -> 45 [size =\"47662080\"]\n  37 [size=\"151545173\", alpha=\"0.15\", expect_size=\"45463552\"] \n  37 -> 45 [size =\"45463552\"]\n  38 [size=\"107383467\", alpha=\"0.06\", expect_size=\"32215040\"] \n  39 [size=\"107441493\", alpha=\"0.09\", expect_size=\"32232448\"] \n  39 -> 43 [size =\"32232448\"]\n  39 -> 44 [size =\"32232448\"]\n  40 [size=\"108929707\", alpha=\"0.08\", expect_size=\"32678912\"] \n  41 [size=\"24975360\", alpha=\"0.09\", expect_size=\"7492608\"] \n  42 [size=\"31494827\", alpha=\"0.10\", expect_size=\"9448448\"] \n  42 -> 44 [size =\"9448448\"]\n  43 [size=\"128201387\", alpha=\"0.03\", expect_size=\"38460416\"] \n  44 [size=\"147234133\", alpha=\"0.07\", expect_size=\"44170240\"] \n  45 [size=\"169198933\", alpha=\"0.04\", expect_size=\"50759680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32907264\", alpha=\"0.02\", expect_size=\"16453632\"] \n  1 -> 7 [size =\"16453632\"]\n  2 [size=\"63137792\", alpha=\"0.06\", expect_size=\"31568896\"] \n  2 -> 10 [size =\"31568896\"]\n  3 [size=\"91211776\", alpha=\"0.09\", expect_size=\"45605888\"] \n  3 -> 12 [size =\"45605888\"]\n  4 [size=\"73787392\", alpha=\"0.00\", expect_size=\"36893696\"] \n  4 -> 8 [size =\"36893696\"]\n  4 -> 10 [size =\"36893696\"]\n  4 -> 11 [size =\"36893696\"]\n  5 [size=\"89503744\", alpha=\"0.20\", expect_size=\"44751872\"] \n  5 -> 7 [size =\"44751872\"]\n  5 -> 8 [size =\"44751872\"]\n  5 -> 9 [size =\"44751872\"]\n  5 -> 11 [size =\"44751872\"]\n  6 [size=\"66670592\", alpha=\"0.10\", expect_size=\"33335296\"] \n  6 -> 7 [size =\"33335296\"]\n  6 -> 8 [size =\"33335296\"]\n  6 -> 10 [size =\"33335296\"]\n  7 [size=\"37203968\", alpha=\"0.09\", expect_size=\"18601984\"] \n  7 -> 13 [size =\"18601984\"]\n  7 -> 15 [size =\"18601984\"]\n  8 [size=\"101793792\", alpha=\"0.07\", expect_size=\"50896896\"] \n  8 -> 16 [size =\"50896896\"]\n  8 -> 17 [size =\"50896896\"]\n  9 [size=\"72603648\", alpha=\"0.04\", expect_size=\"36301824\"] \n  9 -> 18 [size =\"36301824\"]\n  10 [size=\"20934656\", alpha=\"0.06\", expect_size=\"10467328\"] \n  10 -> 14 [size =\"10467328\"]\n  10 -> 18 [size =\"10467328\"]\n  11 [size=\"18817024\", alpha=\"0.08\", expect_size=\"9408512\"] \n  11 -> 14 [size =\"9408512\"]\n  11 -> 15 [size =\"9408512\"]\n  11 -> 16 [size =\"9408512\"]\n  11 -> 18 [size =\"9408512\"]\n  12 [size=\"26126336\", alpha=\"0.16\", expect_size=\"13063168\"] \n  12 -> 14 [size =\"13063168\"]\n  12 -> 16 [size =\"13063168\"]\n  13 [size=\"55875584\", alpha=\"0.14\", expect_size=\"27937792\"] \n  13 -> 21 [size =\"27937792\"]\n  13 -> 24 [size =\"27937792\"]\n  14 [size=\"100175872\", alpha=\"0.02\", expect_size=\"50087936\"] \n  14 -> 20 [size =\"50087936\"]\n  14 -> 23 [size =\"50087936\"]\n  14 -> 24 [size =\"50087936\"]\n  15 [size=\"101091328\", alpha=\"0.16\", expect_size=\"50545664\"] \n  15 -> 20 [size =\"50545664\"]\n  16 [size=\"100990976\", alpha=\"0.02\", expect_size=\"50495488\"] \n  16 -> 24 [size =\"50495488\"]\n  17 [size=\"52731904\", alpha=\"0.05\", expect_size=\"26365952\"] \n  17 -> 19 [size =\"26365952\"]\n  17 -> 20 [size =\"26365952\"]\n  17 -> 21 [size =\"26365952\"]\n  17 -> 22 [size =\"26365952\"]\n  18 [size=\"93407232\", alpha=\"0.13\", expect_size=\"46703616\"] \n  18 -> 22 [size =\"46703616\"]\n  19 [size=\"34082816\", alpha=\"0.16\", expect_size=\"17041408\"] \n  20 [size=\"51728384\", alpha=\"0.01\", expect_size=\"25864192\"] \n  20 -> 25 [size =\"25864192\"]\n  20 -> 27 [size =\"25864192\"]\n  20 -> 29 [size =\"25864192\"]\n  21 [size=\"79509504\", alpha=\"0.12\", expect_size=\"39754752\"] \n  21 -> 28 [size =\"39754752\"]\n  21 -> 29 [size =\"39754752\"]\n  22 [size=\"23351296\", alpha=\"0.14\", expect_size=\"11675648\"] \n  22 -> 25 [size =\"11675648\"]\n  22 -> 26 [size =\"11675648\"]\n  22 -> 27 [size =\"11675648\"]\n  22 -> 28 [size =\"11675648\"]\n  23 [size=\"98402304\", alpha=\"0.13\", expect_size=\"49201152\"] \n  23 -> 25 [size =\"49201152\"]\n  24 [size=\"69437440\", alpha=\"0.05\", expect_size=\"34718720\"] \n  24 -> 28 [size =\"34718720\"]\n  25 [size=\"81199104\", alpha=\"0.14\", expect_size=\"40599552\"] \n  25 -> 30 [size =\"40599552\"]\n  25 -> 32 [size =\"40599552\"]\n  25 -> 33 [size =\"40599552\"]\n  26 [size=\"64194560\", alpha=\"0.15\", expect_size=\"32097280\"] \n  26 -> 30 [size =\"32097280\"]\n  26 -> 32 [size =\"32097280\"]\n  26 -> 34 [size =\"32097280\"]\n  27 [size=\"75106304\", alpha=\"0.02\", expect_size=\"37553152\"] \n  27 -> 30 [size =\"37553152\"]\n  27 -> 32 [size =\"37553152\"]\n  27 -> 34 [size =\"37553152\"]\n  28 [size=\"100188160\", alpha=\"0.08\", expect_size=\"50094080\"] \n  28 -> 31 [size =\"50094080\"]\n  28 -> 33 [size =\"50094080\"]\n  28 -> 34 [size =\"50094080\"]\n  29 [size=\"69054464\", alpha=\"0.07\", expect_size=\"34527232\"] \n  29 -> 33 [size =\"34527232\"]\n  30 [size=\"48332800\", alpha=\"0.08\", expect_size=\"24166400\"] \n  30 -> 36 [size =\"24166400\"]\n  30 -> 37 [size =\"24166400\"]\n  31 [size=\"55255040\", alpha=\"0.11\", expect_size=\"27627520\"] \n  31 -> 36 [size =\"27627520\"]\n  31 -> 38 [size =\"27627520\"]\n  32 [size=\"17872896\", alpha=\"0.18\", expect_size=\"8936448\"] \n  32 -> 35 [size =\"8936448\"]\n  33 [size=\"83212288\", alpha=\"0.14\", expect_size=\"41606144\"] \n  33 -> 35 [size =\"41606144\"]\n  33 -> 39 [size =\"41606144\"]\n  34 [size=\"48883712\", alpha=\"0.09\", expect_size=\"24441856\"] \n  34 -> 37 [size =\"24441856\"]\n  35 [size=\"72560640\", alpha=\"0.03\", expect_size=\"36280320\"] \n  35 -> 43 [size =\"36280320\"]\n  36 [size=\"44521472\", alpha=\"0.16\", expect_size=\"22260736\"] \n  36 -> 41 [size =\"22260736\"]\n  36 -> 43 [size =\"22260736\"]\n  36 -> 44 [size =\"22260736\"]\n  37 [size=\"20948992\", alpha=\"0.19\", expect_size=\"10474496\"] \n  37 -> 42 [size =\"10474496\"]\n  38 [size=\"28563456\", alpha=\"0.19\", expect_size=\"14281728\"] \n  38 -> 42 [size =\"14281728\"]\n  38 -> 44 [size =\"14281728\"]\n  39 [size=\"64303104\", alpha=\"0.04\", expect_size=\"32151552\"] \n  39 -> 40 [size =\"32151552\"]\n  39 -> 43 [size =\"32151552\"]\n  39 -> 45 [size =\"32151552\"]\n  40 [size=\"95911936\", alpha=\"0.17\", expect_size=\"47955968\"] \n  41 [size=\"39471104\", alpha=\"0.06\", expect_size=\"19735552\"] \n  42 [size=\"92053504\", alpha=\"0.17\", expect_size=\"46026752\"] \n  43 [size=\"80560128\", alpha=\"0.06\", expect_size=\"40280064\"] \n  44 [size=\"50378752\", alpha=\"0.09\", expect_size=\"25189376\"] \n  45 [size=\"91201536\", alpha=\"0.06\", expect_size=\"45600768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64987136\", alpha=\"0.06\", expect_size=\"32493568\"] \n  1 -> 2 [size =\"32493568\"]\n  2 [size=\"82706432\", alpha=\"0.12\", expect_size=\"41353216\"] \n  2 -> 3 [size =\"41353216\"]\n  3 [size=\"79742976\", alpha=\"0.00\", expect_size=\"39871488\"] \n  3 -> 4 [size =\"39871488\"]\n  4 [size=\"15751168\", alpha=\"0.09\", expect_size=\"7875584\"] \n  4 -> 5 [size =\"7875584\"]\n  5 [size=\"33150976\", alpha=\"0.11\", expect_size=\"16575488\"] \n  5 -> 6 [size =\"16575488\"]\n  6 [size=\"87308288\", alpha=\"0.06\", expect_size=\"43654144\"] \n  6 -> 7 [size =\"43654144\"]\n  7 [size=\"48340992\", alpha=\"0.20\", expect_size=\"24170496\"] \n  7 -> 8 [size =\"24170496\"]\n  8 [size=\"39225344\", alpha=\"0.10\", expect_size=\"19612672\"] \n  8 -> 9 [size =\"19612672\"]\n  9 [size=\"36014080\", alpha=\"0.06\", expect_size=\"18007040\"] \n  9 -> 10 [size =\"18007040\"]\n  10 [size=\"88522752\", alpha=\"0.06\", expect_size=\"44261376\"] \n  10 -> 11 [size =\"44261376\"]\n  11 [size=\"38320128\", alpha=\"0.12\", expect_size=\"19160064\"] \n  11 -> 12 [size =\"19160064\"]\n  12 [size=\"65894400\", alpha=\"0.14\", expect_size=\"32947200\"] \n  12 -> 13 [size =\"32947200\"]\n  13 [size=\"29595648\", alpha=\"0.01\", expect_size=\"14797824\"] \n  13 -> 14 [size =\"14797824\"]\n  14 [size=\"30320640\", alpha=\"0.04\", expect_size=\"15160320\"] \n  14 -> 15 [size =\"15160320\"]\n  15 [size=\"71858176\", alpha=\"0.07\", expect_size=\"35929088\"] \n  15 -> 16 [size =\"35929088\"]\n  16 [size=\"28282880\", alpha=\"0.12\", expect_size=\"14141440\"] \n  16 -> 17 [size =\"14141440\"]\n  17 [size=\"55617536\", alpha=\"0.15\", expect_size=\"27808768\"] \n  17 -> 18 [size =\"27808768\"]\n  18 [size=\"54867968\", alpha=\"0.19\", expect_size=\"27433984\"] \n  18 -> 19 [size =\"27433984\"]\n  19 [size=\"103759872\", alpha=\"0.10\", expect_size=\"51879936\"] \n  19 -> 20 [size =\"51879936\"]\n  20 [size=\"39297024\", alpha=\"0.17\", expect_size=\"19648512\"] \n  20 -> 21 [size =\"19648512\"]\n  21 [size=\"67612672\", alpha=\"0.15\", expect_size=\"33806336\"] \n  21 -> 22 [size =\"33806336\"]\n  22 [size=\"28899328\", alpha=\"0.08\", expect_size=\"14449664\"] \n  22 -> 23 [size =\"14449664\"]\n  23 [size=\"93530112\", alpha=\"0.16\", expect_size=\"46765056\"] \n  23 -> 24 [size =\"46765056\"]\n  24 [size=\"99983360\", alpha=\"0.05\", expect_size=\"49991680\"] \n  24 -> 25 [size =\"49991680\"]\n  25 [size=\"23412736\", alpha=\"0.19\", expect_size=\"11706368\"] \n  25 -> 26 [size =\"11706368\"]\n  26 [size=\"54372352\", alpha=\"0.09\", expect_size=\"27186176\"] \n  26 -> 27 [size =\"27186176\"]\n  27 [size=\"14499840\", alpha=\"0.08\", expect_size=\"7249920\"] \n  27 -> 28 [size =\"7249920\"]\n  28 [size=\"84621312\", alpha=\"0.12\", expect_size=\"42310656\"] \n  28 -> 29 [size =\"42310656\"]\n  29 [size=\"79212544\", alpha=\"0.02\", expect_size=\"39606272\"] \n  29 -> 30 [size =\"39606272\"]\n  30 [size=\"33710080\", alpha=\"0.08\", expect_size=\"16855040\"] \n  30 -> 31 [size =\"16855040\"]\n  31 [size=\"18776064\", alpha=\"0.00\", expect_size=\"9388032\"] \n  31 -> 32 [size =\"9388032\"]\n  32 [size=\"88915968\", alpha=\"0.04\", expect_size=\"44457984\"] \n  32 -> 33 [size =\"44457984\"]\n  33 [size=\"33234944\", alpha=\"0.12\", expect_size=\"16617472\"] \n  33 -> 34 [size =\"16617472\"]\n  34 [size=\"15364096\", alpha=\"0.04\", expect_size=\"7682048\"] \n  34 -> 35 [size =\"7682048\"]\n  35 [size=\"40570880\", alpha=\"0.09\", expect_size=\"20285440\"] \n  35 -> 36 [size =\"20285440\"]\n  36 [size=\"37148672\", alpha=\"0.18\", expect_size=\"18574336\"] \n  36 -> 37 [size =\"18574336\"]\n  37 [size=\"81922048\", alpha=\"0.17\", expect_size=\"40961024\"] \n  37 -> 38 [size =\"40961024\"]\n  38 [size=\"24004608\", alpha=\"0.05\", expect_size=\"12002304\"] \n  38 -> 39 [size =\"12002304\"]\n  39 [size=\"80881664\", alpha=\"0.13\", expect_size=\"40440832\"] \n  39 -> 40 [size =\"40440832\"]\n  40 [size=\"89335808\", alpha=\"0.06\", expect_size=\"44667904\"] \n  40 -> 41 [size =\"44667904\"]\n  41 [size=\"33036288\", alpha=\"0.12\", expect_size=\"16518144\"] \n  41 -> 42 [size =\"16518144\"]\n  42 [size=\"34189312\", alpha=\"0.02\", expect_size=\"17094656\"] \n  42 -> 43 [size =\"17094656\"]\n  43 [size=\"53833728\", alpha=\"0.09\", expect_size=\"26916864\"] \n  43 -> 44 [size =\"26916864\"]\n  44 [size=\"16707584\", alpha=\"0.16\", expect_size=\"8353792\"] \n  44 -> 45 [size =\"8353792\"]\n  45 [size=\"37017600\", alpha=\"0.05\", expect_size=\"18508800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121425920\", alpha=\"0.04\", expect_size=\"48570368\"] \n  1 -> 42 [size =\"48570368\"]\n  2 [size=\"21114880\", alpha=\"0.13\", expect_size=\"8445952\"] \n  2 -> 42 [size =\"8445952\"]\n  2 -> 45 [size =\"8445952\"]\n  3 [size=\"67614720\", alpha=\"0.02\", expect_size=\"27045888\"] \n  3 -> 42 [size =\"27045888\"]\n  3 -> 45 [size =\"27045888\"]\n  4 [size=\"37713920\", alpha=\"0.01\", expect_size=\"15085568\"] \n  4 -> 42 [size =\"15085568\"]\n  4 -> 45 [size =\"15085568\"]\n  5 [size=\"110499840\", alpha=\"0.04\", expect_size=\"44199936\"] \n  5 -> 42 [size =\"44199936\"]\n  5 -> 45 [size =\"44199936\"]\n  6 [size=\"40524800\", alpha=\"0.13\", expect_size=\"16209920\"] \n  6 -> 42 [size =\"16209920\"]\n  6 -> 45 [size =\"16209920\"]\n  7 [size=\"87695360\", alpha=\"0.16\", expect_size=\"35078144\"] \n  7 -> 42 [size =\"35078144\"]\n  7 -> 45 [size =\"35078144\"]\n  8 [size=\"82291200\", alpha=\"0.08\", expect_size=\"32916480\"] \n  8 -> 42 [size =\"32916480\"]\n  8 -> 44 [size =\"32916480\"]\n  8 -> 45 [size =\"32916480\"]\n  9 [size=\"87436800\", alpha=\"0.06\", expect_size=\"34974720\"] \n  9 -> 42 [size =\"34974720\"]\n  10 [size=\"99484160\", alpha=\"0.04\", expect_size=\"39793664\"] \n  10 -> 44 [size =\"39793664\"]\n  10 -> 45 [size =\"39793664\"]\n  11 [size=\"81157120\", alpha=\"0.16\", expect_size=\"32462848\"] \n  11 -> 42 [size =\"32462848\"]\n  11 -> 44 [size =\"32462848\"]\n  12 [size=\"103626240\", alpha=\"0.07\", expect_size=\"41450496\"] \n  12 -> 42 [size =\"41450496\"]\n  12 -> 44 [size =\"41450496\"]\n  12 -> 45 [size =\"41450496\"]\n  13 [size=\"63495680\", alpha=\"0.16\", expect_size=\"25398272\"] \n  14 [size=\"77381120\", alpha=\"0.16\", expect_size=\"30952448\"] \n  14 -> 43 [size =\"30952448\"]\n  14 -> 44 [size =\"30952448\"]\n  14 -> 45 [size =\"30952448\"]\n  15 [size=\"80340480\", alpha=\"0.10\", expect_size=\"32136192\"] \n  15 -> 42 [size =\"32136192\"]\n  15 -> 44 [size =\"32136192\"]\n  15 -> 45 [size =\"32136192\"]\n  16 [size=\"103815680\", alpha=\"0.14\", expect_size=\"41526272\"] \n  16 -> 42 [size =\"41526272\"]\n  16 -> 44 [size =\"41526272\"]\n  16 -> 45 [size =\"41526272\"]\n  17 [size=\"63787520\", alpha=\"0.03\", expect_size=\"25515008\"] \n  17 -> 42 [size =\"25515008\"]\n  17 -> 45 [size =\"25515008\"]\n  18 [size=\"41886720\", alpha=\"0.17\", expect_size=\"16754688\"] \n  18 -> 44 [size =\"16754688\"]\n  19 [size=\"90321920\", alpha=\"0.16\", expect_size=\"36128768\"] \n  19 -> 44 [size =\"36128768\"]\n  20 [size=\"126484480\", alpha=\"0.03\", expect_size=\"50593792\"] \n  20 -> 43 [size =\"50593792\"]\n  20 -> 45 [size =\"50593792\"]\n  21 [size=\"29880320\", alpha=\"0.09\", expect_size=\"11952128\"] \n  21 -> 44 [size =\"11952128\"]\n  21 -> 45 [size =\"11952128\"]\n  22 [size=\"121646080\", alpha=\"0.17\", expect_size=\"48658432\"] \n  22 -> 43 [size =\"48658432\"]\n  22 -> 45 [size =\"48658432\"]\n  23 [size=\"42652160\", alpha=\"0.13\", expect_size=\"17060864\"] \n  24 [size=\"16796160\", alpha=\"0.14\", expect_size=\"6718464\"] \n  24 -> 42 [size =\"6718464\"]\n  25 [size=\"108559360\", alpha=\"0.11\", expect_size=\"43423744\"] \n  25 -> 42 [size =\"43423744\"]\n  25 -> 44 [size =\"43423744\"]\n  26 [size=\"51481600\", alpha=\"0.13\", expect_size=\"20592640\"] \n  26 -> 42 [size =\"20592640\"]\n  26 -> 44 [size =\"20592640\"]\n  27 [size=\"18823680\", alpha=\"0.07\", expect_size=\"7529472\"] \n  27 -> 42 [size =\"7529472\"]\n  27 -> 43 [size =\"7529472\"]\n  27 -> 45 [size =\"7529472\"]\n  28 [size=\"35184640\", alpha=\"0.13\", expect_size=\"14073856\"] \n  28 -> 42 [size =\"14073856\"]\n  28 -> 44 [size =\"14073856\"]\n  28 -> 45 [size =\"14073856\"]\n  29 [size=\"18350080\", alpha=\"0.12\", expect_size=\"7340032\"] \n  29 -> 42 [size =\"7340032\"]\n  29 -> 45 [size =\"7340032\"]\n  30 [size=\"112135680\", alpha=\"0.05\", expect_size=\"44854272\"] \n  30 -> 45 [size =\"44854272\"]\n  31 [size=\"14274560\", alpha=\"0.10\", expect_size=\"5709824\"] \n  31 -> 44 [size =\"5709824\"]\n  31 -> 45 [size =\"5709824\"]\n  32 [size=\"69012480\", alpha=\"0.11\", expect_size=\"27604992\"] \n  33 [size=\"48435200\", alpha=\"0.20\", expect_size=\"19374080\"] \n  33 -> 42 [size =\"19374080\"]\n  33 -> 44 [size =\"19374080\"]\n  34 [size=\"125009920\", alpha=\"0.19\", expect_size=\"50003968\"] \n  34 -> 42 [size =\"50003968\"]\n  34 -> 44 [size =\"50003968\"]\n  34 -> 45 [size =\"50003968\"]\n  35 [size=\"87418880\", alpha=\"0.10\", expect_size=\"34967552\"] \n  35 -> 42 [size =\"34967552\"]\n  35 -> 45 [size =\"34967552\"]\n  36 [size=\"33057280\", alpha=\"0.17\", expect_size=\"13222912\"] \n  36 -> 42 [size =\"13222912\"]\n  36 -> 44 [size =\"13222912\"]\n  36 -> 45 [size =\"13222912\"]\n  37 [size=\"107304960\", alpha=\"0.12\", expect_size=\"42921984\"] \n  37 -> 42 [size =\"42921984\"]\n  37 -> 45 [size =\"42921984\"]\n  38 [size=\"30860800\", alpha=\"0.12\", expect_size=\"12344320\"] \n  38 -> 42 [size =\"12344320\"]\n  39 [size=\"108838400\", alpha=\"0.05\", expect_size=\"43535360\"] \n  39 -> 42 [size =\"43535360\"]\n  39 -> 43 [size =\"43535360\"]\n  39 -> 45 [size =\"43535360\"]\n  40 [size=\"61672960\", alpha=\"0.18\", expect_size=\"24669184\"] \n  40 -> 42 [size =\"24669184\"]\n  40 -> 44 [size =\"24669184\"]\n  40 -> 45 [size =\"24669184\"]\n  41 [size=\"93711360\", alpha=\"0.13\", expect_size=\"37484544\"] \n  42 [size=\"37071360\", alpha=\"0.06\", expect_size=\"14828544\"] \n  43 [size=\"100239360\", alpha=\"0.05\", expect_size=\"40095744\"] \n  44 [size=\"97676800\", alpha=\"0.04\", expect_size=\"39070720\"] \n  45 [size=\"93657600\", alpha=\"0.19\", expect_size=\"37463040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15877120\", alpha=\"0.13\", expect_size=\"6350848\"] \n  1 -> 2 [size =\"6350848\"]\n  2 [size=\"105036800\", alpha=\"0.13\", expect_size=\"42014720\"] \n  2 -> 3 [size =\"42014720\"]\n  3 [size=\"19097600\", alpha=\"0.07\", expect_size=\"7639040\"] \n  3 -> 4 [size =\"7639040\"]\n  4 [size=\"116162560\", alpha=\"0.15\", expect_size=\"46465024\"] \n  4 -> 5 [size =\"46465024\"]\n  5 [size=\"62312960\", alpha=\"0.05\", expect_size=\"24925184\"] \n  5 -> 6 [size =\"24925184\"]\n  6 [size=\"45045760\", alpha=\"0.16\", expect_size=\"18018304\"] \n  6 -> 7 [size =\"18018304\"]\n  7 [size=\"47925760\", alpha=\"0.03\", expect_size=\"19170304\"] \n  7 -> 8 [size =\"19170304\"]\n  8 [size=\"57725440\", alpha=\"0.05\", expect_size=\"23090176\"] \n  8 -> 9 [size =\"23090176\"]\n  9 [size=\"97039360\", alpha=\"0.09\", expect_size=\"38815744\"] \n  9 -> 10 [size =\"38815744\"]\n  10 [size=\"93555200\", alpha=\"0.09\", expect_size=\"37422080\"] \n  10 -> 11 [size =\"37422080\"]\n  11 [size=\"46351360\", alpha=\"0.02\", expect_size=\"18540544\"] \n  11 -> 12 [size =\"18540544\"]\n  12 [size=\"124567040\", alpha=\"0.17\", expect_size=\"49826816\"] \n  12 -> 13 [size =\"49826816\"]\n  13 [size=\"83110400\", alpha=\"0.03\", expect_size=\"33244160\"] \n  13 -> 14 [size =\"33244160\"]\n  14 [size=\"126740480\", alpha=\"0.01\", expect_size=\"50696192\"] \n  14 -> 15 [size =\"50696192\"]\n  15 [size=\"96117760\", alpha=\"0.17\", expect_size=\"38447104\"] \n  15 -> 16 [size =\"38447104\"]\n  16 [size=\"123624960\", alpha=\"0.04\", expect_size=\"49449984\"] \n  16 -> 17 [size =\"49449984\"]\n  17 [size=\"102013440\", alpha=\"0.03\", expect_size=\"40805376\"] \n  17 -> 18 [size =\"40805376\"]\n  18 [size=\"118136320\", alpha=\"0.05\", expect_size=\"47254528\"] \n  18 -> 19 [size =\"47254528\"]\n  19 [size=\"27279360\", alpha=\"0.10\", expect_size=\"10911744\"] \n  19 -> 20 [size =\"10911744\"]\n  20 [size=\"79283200\", alpha=\"0.00\", expect_size=\"31713280\"] \n  20 -> 21 [size =\"31713280\"]\n  21 [size=\"14282240\", alpha=\"0.11\", expect_size=\"5712896\"] \n  21 -> 22 [size =\"5712896\"]\n  22 [size=\"27389440\", alpha=\"0.17\", expect_size=\"10955776\"] \n  22 -> 23 [size =\"10955776\"]\n  23 [size=\"129080320\", alpha=\"0.04\", expect_size=\"51632128\"] \n  23 -> 24 [size =\"51632128\"]\n  24 [size=\"26557440\", alpha=\"0.09\", expect_size=\"10622976\"] \n  24 -> 25 [size =\"10622976\"]\n  25 [size=\"34798080\", alpha=\"0.02\", expect_size=\"13919232\"] \n  25 -> 26 [size =\"13919232\"]\n  26 [size=\"14474240\", alpha=\"0.00\", expect_size=\"5789696\"] \n  26 -> 27 [size =\"5789696\"]\n  27 [size=\"35804160\", alpha=\"0.04\", expect_size=\"14321664\"] \n  27 -> 28 [size =\"14321664\"]\n  28 [size=\"53465600\", alpha=\"0.16\", expect_size=\"21386240\"] \n  28 -> 29 [size =\"21386240\"]\n  29 [size=\"81850880\", alpha=\"0.02\", expect_size=\"32740352\"] \n  29 -> 30 [size =\"32740352\"]\n  30 [size=\"25559040\", alpha=\"0.02\", expect_size=\"10223616\"] \n  30 -> 31 [size =\"10223616\"]\n  31 [size=\"28431360\", alpha=\"0.07\", expect_size=\"11372544\"] \n  31 -> 32 [size =\"11372544\"]\n  32 [size=\"93242880\", alpha=\"0.11\", expect_size=\"37297152\"] \n  32 -> 33 [size =\"37297152\"]\n  33 [size=\"75996160\", alpha=\"0.07\", expect_size=\"30398464\"] \n  33 -> 34 [size =\"30398464\"]\n  34 [size=\"100643840\", alpha=\"0.03\", expect_size=\"40257536\"] \n  34 -> 35 [size =\"40257536\"]\n  35 [size=\"34319360\", alpha=\"0.12\", expect_size=\"13727744\"] \n  35 -> 36 [size =\"13727744\"]\n  36 [size=\"44188160\", alpha=\"0.00\", expect_size=\"17675264\"] \n  36 -> 37 [size =\"17675264\"]\n  37 [size=\"44231680\", alpha=\"0.03\", expect_size=\"17692672\"] \n  37 -> 38 [size =\"17692672\"]\n  38 [size=\"69265920\", alpha=\"0.05\", expect_size=\"27706368\"] \n  38 -> 39 [size =\"27706368\"]\n  39 [size=\"45946880\", alpha=\"0.08\", expect_size=\"18378752\"] \n  39 -> 40 [size =\"18378752\"]\n  40 [size=\"58206720\", alpha=\"0.03\", expect_size=\"23282688\"] \n  40 -> 41 [size =\"23282688\"]\n  41 [size=\"68536320\", alpha=\"0.17\", expect_size=\"27414528\"] \n  41 -> 42 [size =\"27414528\"]\n  42 [size=\"110177280\", alpha=\"0.15\", expect_size=\"44070912\"] \n  42 -> 43 [size =\"44070912\"]\n  43 [size=\"58659840\", alpha=\"0.12\", expect_size=\"23463936\"] \n  43 -> 44 [size =\"23463936\"]\n  44 [size=\"101957120\", alpha=\"0.11\", expect_size=\"40782848\"] \n  44 -> 45 [size =\"40782848\"]\n  45 [size=\"117772800\", alpha=\"0.14\", expect_size=\"47109120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56123392\", alpha=\"0.08\", expect_size=\"28061696\"] \n  1 -> 3 [size =\"28061696\"]\n  1 -> 4 [size =\"28061696\"]\n  2 [size=\"23375872\", alpha=\"0.11\", expect_size=\"11687936\"] \n  2 -> 4 [size =\"11687936\"]\n  3 [size=\"71024640\", alpha=\"0.19\", expect_size=\"35512320\"] \n  3 -> 5 [size =\"35512320\"]\n  3 -> 6 [size =\"35512320\"]\n  3 -> 7 [size =\"35512320\"]\n  4 [size=\"78870528\", alpha=\"0.10\", expect_size=\"39435264\"] \n  4 -> 5 [size =\"39435264\"]\n  4 -> 6 [size =\"39435264\"]\n  4 -> 7 [size =\"39435264\"]\n  5 [size=\"90206208\", alpha=\"0.20\", expect_size=\"45103104\"] \n  5 -> 9 [size =\"45103104\"]\n  6 [size=\"55205888\", alpha=\"0.08\", expect_size=\"27602944\"] \n  6 -> 8 [size =\"27602944\"]\n  6 -> 9 [size =\"27602944\"]\n  7 [size=\"97822720\", alpha=\"0.05\", expect_size=\"48911360\"] \n  7 -> 8 [size =\"48911360\"]\n  7 -> 9 [size =\"48911360\"]\n  8 [size=\"68057088\", alpha=\"0.18\", expect_size=\"34028544\"] \n  8 -> 11 [size =\"34028544\"]\n  9 [size=\"54562816\", alpha=\"0.13\", expect_size=\"27281408\"] \n  9 -> 10 [size =\"27281408\"]\n  10 [size=\"35045376\", alpha=\"0.02\", expect_size=\"17522688\"] \n  10 -> 13 [size =\"17522688\"]\n  11 [size=\"15337472\", alpha=\"0.18\", expect_size=\"7668736\"] \n  11 -> 12 [size =\"7668736\"]\n  11 -> 13 [size =\"7668736\"]\n  12 [size=\"55357440\", alpha=\"0.11\", expect_size=\"27678720\"] \n  12 -> 14 [size =\"27678720\"]\n  12 -> 15 [size =\"27678720\"]\n  13 [size=\"15169536\", alpha=\"0.18\", expect_size=\"7584768\"] \n  13 -> 14 [size =\"7584768\"]\n  13 -> 15 [size =\"7584768\"]\n  14 [size=\"12673024\", alpha=\"0.11\", expect_size=\"6336512\"] \n  14 -> 16 [size =\"6336512\"]\n  14 -> 17 [size =\"6336512\"]\n  14 -> 18 [size =\"6336512\"]\n  15 [size=\"59240448\", alpha=\"0.11\", expect_size=\"29620224\"] \n  15 -> 16 [size =\"29620224\"]\n  15 -> 17 [size =\"29620224\"]\n  15 -> 18 [size =\"29620224\"]\n  16 [size=\"58513408\", alpha=\"0.19\", expect_size=\"29256704\"] \n  17 [size=\"98271232\", alpha=\"0.16\", expect_size=\"49135616\"] \n  17 -> 19 [size =\"49135616\"]\n  17 -> 20 [size =\"49135616\"]\n  17 -> 21 [size =\"49135616\"]\n  18 [size=\"28833792\", alpha=\"0.10\", expect_size=\"14416896\"] \n  18 -> 20 [size =\"14416896\"]\n  18 -> 21 [size =\"14416896\"]\n  19 [size=\"21620736\", alpha=\"0.15\", expect_size=\"10810368\"] \n  19 -> 22 [size =\"10810368\"]\n  19 -> 24 [size =\"10810368\"]\n  20 [size=\"83945472\", alpha=\"0.12\", expect_size=\"41972736\"] \n  20 -> 22 [size =\"41972736\"]\n  20 -> 24 [size =\"41972736\"]\n  21 [size=\"92585984\", alpha=\"0.19\", expect_size=\"46292992\"] \n  21 -> 22 [size =\"46292992\"]\n  21 -> 23 [size =\"46292992\"]\n  21 -> 24 [size =\"46292992\"]\n  22 [size=\"83771392\", alpha=\"0.09\", expect_size=\"41885696\"] \n  23 [size=\"40427520\", alpha=\"0.11\", expect_size=\"20213760\"] \n  23 -> 25 [size =\"20213760\"]\n  23 -> 26 [size =\"20213760\"]\n  23 -> 27 [size =\"20213760\"]\n  24 [size=\"28979200\", alpha=\"0.08\", expect_size=\"14489600\"] \n  24 -> 25 [size =\"14489600\"]\n  24 -> 27 [size =\"14489600\"]\n  24 -> 27 [size =\"14489600\"]\n  25 [size=\"82526208\", alpha=\"0.02\", expect_size=\"41263104\"] \n  25 -> 28 [size =\"41263104\"]\n  25 -> 30 [size =\"41263104\"]\n  26 [size=\"41586688\", alpha=\"0.05\", expect_size=\"20793344\"] \n  26 -> 28 [size =\"20793344\"]\n  26 -> 29 [size =\"20793344\"]\n  26 -> 30 [size =\"20793344\"]\n  27 [size=\"36349952\", alpha=\"0.06\", expect_size=\"18174976\"] \n  27 -> 28 [size =\"18174976\"]\n  27 -> 30 [size =\"18174976\"]\n  28 [size=\"19537920\", alpha=\"0.00\", expect_size=\"9768960\"] \n  28 -> 32 [size =\"9768960\"]\n  28 -> 33 [size =\"9768960\"]\n  29 [size=\"65882112\", alpha=\"0.04\", expect_size=\"32941056\"] \n  29 -> 31 [size =\"32941056\"]\n  29 -> 32 [size =\"32941056\"]\n  29 -> 33 [size =\"32941056\"]\n  30 [size=\"43765760\", alpha=\"0.12\", expect_size=\"21882880\"] \n  30 -> 32 [size =\"21882880\"]\n  30 -> 33 [size =\"21882880\"]\n  31 [size=\"102305792\", alpha=\"0.02\", expect_size=\"51152896\"] \n  31 -> 34 [size =\"51152896\"]\n  31 -> 36 [size =\"51152896\"]\n  32 [size=\"98398208\", alpha=\"0.00\", expect_size=\"49199104\"] \n  32 -> 34 [size =\"49199104\"]\n  32 -> 36 [size =\"49199104\"]\n  33 [size=\"44933120\", alpha=\"0.00\", expect_size=\"22466560\"] \n  33 -> 34 [size =\"22466560\"]\n  33 -> 35 [size =\"22466560\"]\n  34 [size=\"96821248\", alpha=\"0.01\", expect_size=\"48410624\"] \n  34 -> 38 [size =\"48410624\"]\n  34 -> 39 [size =\"48410624\"]\n  35 [size=\"39335936\", alpha=\"0.12\", expect_size=\"19667968\"] \n  35 -> 37 [size =\"19667968\"]\n  35 -> 38 [size =\"19667968\"]\n  35 -> 39 [size =\"19667968\"]\n  36 [size=\"46569472\", alpha=\"0.13\", expect_size=\"23284736\"] \n  36 -> 37 [size =\"23284736\"]\n  36 -> 39 [size =\"23284736\"]\n  37 [size=\"68870144\", alpha=\"0.12\", expect_size=\"34435072\"] \n  37 -> 40 [size =\"34435072\"]\n  37 -> 41 [size =\"34435072\"]\n  37 -> 42 [size =\"34435072\"]\n  38 [size=\"99205120\", alpha=\"0.16\", expect_size=\"49602560\"] \n  38 -> 40 [size =\"49602560\"]\n  38 -> 41 [size =\"49602560\"]\n  39 [size=\"100775936\", alpha=\"0.01\", expect_size=\"50387968\"] \n  39 -> 40 [size =\"50387968\"]\n  39 -> 41 [size =\"50387968\"]\n  40 [size=\"23289856\", alpha=\"0.03\", expect_size=\"11644928\"] \n  40 -> 44 [size =\"11644928\"]\n  41 [size=\"80048128\", alpha=\"0.02\", expect_size=\"40024064\"] \n  41 -> 44 [size =\"40024064\"]\n  42 [size=\"87162880\", alpha=\"0.16\", expect_size=\"43581440\"] \n  42 -> 43 [size =\"43581440\"]\n  43 [size=\"89505792\", alpha=\"0.17\", expect_size=\"44752896\"] \n  43 -> 45 [size =\"44752896\"]\n  44 [size=\"91760640\", alpha=\"0.01\", expect_size=\"45880320\"] \n  44 -> 45 [size =\"45880320\"]\n  45 [size=\"96114688\", alpha=\"0.01\", expect_size=\"48057344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54435840\", alpha=\"0.16\", expect_size=\"16330752\"] \n  1 -> 34 [size =\"16330752\"]\n  1 -> 36 [size =\"16330752\"]\n  1 -> 40 [size =\"16330752\"]\n  2 [size=\"79458987\", alpha=\"0.09\", expect_size=\"23837696\"] \n  2 -> 31 [size =\"23837696\"]\n  2 -> 33 [size =\"23837696\"]\n  2 -> 34 [size =\"23837696\"]\n  2 -> 35 [size =\"23837696\"]\n  2 -> 38 [size =\"23837696\"]\n  2 -> 41 [size =\"23837696\"]\n  2 -> 42 [size =\"23837696\"]\n  2 -> 43 [size =\"23837696\"]\n  3 [size=\"64146773\", alpha=\"0.14\", expect_size=\"19244032\"] \n  3 -> 31 [size =\"19244032\"]\n  3 -> 33 [size =\"19244032\"]\n  3 -> 34 [size =\"19244032\"]\n  3 -> 35 [size =\"19244032\"]\n  3 -> 38 [size =\"19244032\"]\n  3 -> 40 [size =\"19244032\"]\n  3 -> 41 [size =\"19244032\"]\n  3 -> 42 [size =\"19244032\"]\n  3 -> 43 [size =\"19244032\"]\n  4 [size=\"46151680\", alpha=\"0.17\", expect_size=\"13845504\"] \n  4 -> 32 [size =\"13845504\"]\n  4 -> 35 [size =\"13845504\"]\n  4 -> 39 [size =\"13845504\"]\n  4 -> 40 [size =\"13845504\"]\n  4 -> 41 [size =\"13845504\"]\n  4 -> 42 [size =\"13845504\"]\n  4 -> 43 [size =\"13845504\"]\n  5 [size=\"139892053\", alpha=\"0.16\", expect_size=\"41967616\"] \n  5 -> 32 [size =\"41967616\"]\n  5 -> 33 [size =\"41967616\"]\n  5 -> 35 [size =\"41967616\"]\n  5 -> 36 [size =\"41967616\"]\n  5 -> 38 [size =\"41967616\"]\n  5 -> 39 [size =\"41967616\"]\n  5 -> 41 [size =\"41967616\"]\n  6 [size=\"68116480\", alpha=\"0.13\", expect_size=\"20434944\"] \n  6 -> 32 [size =\"20434944\"]\n  6 -> 34 [size =\"20434944\"]\n  6 -> 35 [size =\"20434944\"]\n  6 -> 36 [size =\"20434944\"]\n  6 -> 39 [size =\"20434944\"]\n  6 -> 40 [size =\"20434944\"]\n  7 [size=\"107352747\", alpha=\"0.01\", expect_size=\"32205824\"] \n  7 -> 32 [size =\"32205824\"]\n  7 -> 33 [size =\"32205824\"]\n  7 -> 34 [size =\"32205824\"]\n  7 -> 35 [size =\"32205824\"]\n  7 -> 36 [size =\"32205824\"]\n  7 -> 39 [size =\"32205824\"]\n  8 [size=\"67703467\", alpha=\"0.16\", expect_size=\"20311040\"] \n  8 -> 31 [size =\"20311040\"]\n  8 -> 32 [size =\"20311040\"]\n  8 -> 36 [size =\"20311040\"]\n  8 -> 41 [size =\"20311040\"]\n  9 [size=\"79793493\", alpha=\"0.07\", expect_size=\"23938048\"] \n  9 -> 31 [size =\"23938048\"]\n  9 -> 33 [size =\"23938048\"]\n  9 -> 35 [size =\"23938048\"]\n  9 -> 36 [size =\"23938048\"]\n  9 -> 39 [size =\"23938048\"]\n  9 -> 41 [size =\"23938048\"]\n  9 -> 42 [size =\"23938048\"]\n  10 [size=\"115674453\", alpha=\"0.18\", expect_size=\"34702336\"] \n  10 -> 33 [size =\"34702336\"]\n  10 -> 35 [size =\"34702336\"]\n  10 -> 36 [size =\"34702336\"]\n  10 -> 37 [size =\"34702336\"]\n  10 -> 38 [size =\"34702336\"]\n  10 -> 45 [size =\"34702336\"]\n  11 [size=\"88118613\", alpha=\"0.18\", expect_size=\"26435584\"] \n  11 -> 35 [size =\"26435584\"]\n  11 -> 37 [size =\"26435584\"]\n  11 -> 38 [size =\"26435584\"]\n  11 -> 42 [size =\"26435584\"]\n  12 [size=\"56118613\", alpha=\"0.12\", expect_size=\"16835584\"] \n  12 -> 32 [size =\"16835584\"]\n  12 -> 37 [size =\"16835584\"]\n  12 -> 40 [size =\"16835584\"]\n  12 -> 41 [size =\"16835584\"]\n  12 -> 44 [size =\"16835584\"]\n  12 -> 45 [size =\"16835584\"]\n  13 [size=\"124074667\", alpha=\"0.12\", expect_size=\"37222400\"] \n  13 -> 39 [size =\"37222400\"]\n  14 [size=\"73239893\", alpha=\"0.20\", expect_size=\"21971968\"] \n  14 -> 40 [size =\"21971968\"]\n  14 -> 43 [size =\"21971968\"]\n  15 [size=\"47790080\", alpha=\"0.20\", expect_size=\"14337024\"] \n  15 -> 42 [size =\"14337024\"]\n  15 -> 43 [size =\"14337024\"]\n  16 [size=\"172253867\", alpha=\"0.07\", expect_size=\"51676160\"] \n  16 -> 31 [size =\"51676160\"]\n  16 -> 32 [size =\"51676160\"]\n  16 -> 33 [size =\"51676160\"]\n  16 -> 42 [size =\"51676160\"]\n  17 [size=\"114780160\", alpha=\"0.12\", expect_size=\"34434048\"] \n  17 -> 31 [size =\"34434048\"]\n  17 -> 32 [size =\"34434048\"]\n  17 -> 33 [size =\"34434048\"]\n  17 -> 34 [size =\"34434048\"]\n  17 -> 40 [size =\"34434048\"]\n  18 [size=\"120169813\", alpha=\"0.14\", expect_size=\"36050944\"] \n  18 -> 33 [size =\"36050944\"]\n  18 -> 41 [size =\"36050944\"]\n  19 [size=\"87070720\", alpha=\"0.06\", expect_size=\"26121216\"] \n  19 -> 31 [size =\"26121216\"]\n  19 -> 36 [size =\"26121216\"]\n  19 -> 38 [size =\"26121216\"]\n  19 -> 39 [size =\"26121216\"]\n  19 -> 40 [size =\"26121216\"]\n  19 -> 43 [size =\"26121216\"]\n  19 -> 44 [size =\"26121216\"]\n  20 [size=\"144452267\", alpha=\"0.07\", expect_size=\"43335680\"] \n  20 -> 34 [size =\"43335680\"]\n  20 -> 35 [size =\"43335680\"]\n  20 -> 36 [size =\"43335680\"]\n  20 -> 38 [size =\"43335680\"]\n  20 -> 39 [size =\"43335680\"]\n  20 -> 40 [size =\"43335680\"]\n  20 -> 43 [size =\"43335680\"]\n  21 [size=\"127054507\", alpha=\"0.14\", expect_size=\"38116352\"] \n  21 -> 41 [size =\"38116352\"]\n  21 -> 42 [size =\"38116352\"]\n  21 -> 43 [size =\"38116352\"]\n  22 [size=\"112349867\", alpha=\"0.08\", expect_size=\"33704960\"] \n  23 [size=\"53306027\", alpha=\"0.08\", expect_size=\"15991808\"] \n  23 -> 31 [size =\"15991808\"]\n  23 -> 35 [size =\"15991808\"]\n  23 -> 38 [size =\"15991808\"]\n  23 -> 39 [size =\"15991808\"]\n  24 [size=\"144923307\", alpha=\"0.11\", expect_size=\"43476992\"] \n  24 -> 31 [size =\"43476992\"]\n  24 -> 35 [size =\"43476992\"]\n  25 [size=\"142851413\", alpha=\"0.10\", expect_size=\"42855424\"] \n  25 -> 31 [size =\"42855424\"]\n  25 -> 36 [size =\"42855424\"]\n  25 -> 37 [size =\"42855424\"]\n  25 -> 38 [size =\"42855424\"]\n  25 -> 40 [size =\"42855424\"]\n  25 -> 41 [size =\"42855424\"]\n  25 -> 42 [size =\"42855424\"]\n  25 -> 43 [size =\"42855424\"]\n  26 [size=\"140055893\", alpha=\"0.16\", expect_size=\"42016768\"] \n  26 -> 32 [size =\"42016768\"]\n  26 -> 34 [size =\"42016768\"]\n  26 -> 36 [size =\"42016768\"]\n  26 -> 41 [size =\"42016768\"]\n  27 [size=\"37539840\", alpha=\"0.13\", expect_size=\"11261952\"] \n  27 -> 34 [size =\"11261952\"]\n  27 -> 34 [size =\"11261952\"]\n  27 -> 35 [size =\"11261952\"]\n  27 -> 36 [size =\"11261952\"]\n  28 [size=\"130205013\", alpha=\"0.17\", expect_size=\"39061504\"] \n  28 -> 34 [size =\"39061504\"]\n  28 -> 35 [size =\"39061504\"]\n  28 -> 36 [size =\"39061504\"]\n  28 -> 39 [size =\"39061504\"]\n  28 -> 40 [size =\"39061504\"]\n  28 -> 41 [size =\"39061504\"]\n  28 -> 44 [size =\"39061504\"]\n  29 [size=\"80779947\", alpha=\"0.08\", expect_size=\"24233984\"] \n  29 -> 35 [size =\"24233984\"]\n  29 -> 36 [size =\"24233984\"]\n  29 -> 37 [size =\"24233984\"]\n  29 -> 40 [size =\"24233984\"]\n  30 [size=\"127586987\", alpha=\"0.12\", expect_size=\"38276096\"] \n  30 -> 40 [size =\"38276096\"]\n  30 -> 41 [size =\"38276096\"]\n  31 [size=\"28641280\", alpha=\"0.05\", expect_size=\"8592384\"] \n  32 [size=\"135482027\", alpha=\"0.02\", expect_size=\"40644608\"] \n  33 [size=\"38229333\", alpha=\"0.14\", expect_size=\"11468800\"] \n  34 [size=\"98129920\", alpha=\"0.12\", expect_size=\"29438976\"] \n  35 [size=\"29293227\", alpha=\"0.14\", expect_size=\"8787968\"] \n  36 [size=\"111414613\", alpha=\"0.16\", expect_size=\"33424384\"] \n  37 [size=\"80568320\", alpha=\"0.11\", expect_size=\"24170496\"] \n  38 [size=\"26634240\", alpha=\"0.18\", expect_size=\"7990272\"] \n  39 [size=\"157122560\", alpha=\"0.14\", expect_size=\"47136768\"] \n  40 [size=\"62501547\", alpha=\"0.07\", expect_size=\"18750464\"] \n  41 [size=\"155538773\", alpha=\"0.13\", expect_size=\"46661632\"] \n  42 [size=\"35017387\", alpha=\"0.11\", expect_size=\"10505216\"] \n  43 [size=\"54155947\", alpha=\"0.14\", expect_size=\"16246784\"] \n  44 [size=\"162266453\", alpha=\"0.13\", expect_size=\"48679936\"] \n  45 [size=\"100546560\", alpha=\"0.08\", expect_size=\"30163968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60723200\", alpha=\"0.14\", expect_size=\"24289280\"] \n  2 [size=\"13253120\", alpha=\"0.19\", expect_size=\"5301248\"] \n  2 -> 8 [size =\"5301248\"]\n  2 -> 9 [size =\"5301248\"]\n  2 -> 10 [size =\"5301248\"]\n  3 [size=\"102259200\", alpha=\"0.03\", expect_size=\"40903680\"] \n  3 -> 8 [size =\"40903680\"]\n  3 -> 9 [size =\"40903680\"]\n  3 -> 11 [size =\"40903680\"]\n  4 [size=\"112637440\", alpha=\"0.09\", expect_size=\"45054976\"] \n  4 -> 7 [size =\"45054976\"]\n  4 -> 8 [size =\"45054976\"]\n  4 -> 9 [size =\"45054976\"]\n  4 -> 10 [size =\"45054976\"]\n  4 -> 11 [size =\"45054976\"]\n  4 -> 12 [size =\"45054976\"]\n  5 [size=\"96655360\", alpha=\"0.09\", expect_size=\"38662144\"] \n  5 -> 9 [size =\"38662144\"]\n  5 -> 10 [size =\"38662144\"]\n  5 -> 11 [size =\"38662144\"]\n  5 -> 12 [size =\"38662144\"]\n  6 [size=\"78269440\", alpha=\"0.05\", expect_size=\"31307776\"] \n  6 -> 8 [size =\"31307776\"]\n  6 -> 10 [size =\"31307776\"]\n  6 -> 11 [size =\"31307776\"]\n  6 -> 12 [size =\"31307776\"]\n  7 [size=\"49103360\", alpha=\"0.01\", expect_size=\"19641344\"] \n  7 -> 13 [size =\"19641344\"]\n  7 -> 15 [size =\"19641344\"]\n  7 -> 19 [size =\"19641344\"]\n  8 [size=\"100382720\", alpha=\"0.16\", expect_size=\"40153088\"] \n  8 -> 13 [size =\"40153088\"]\n  8 -> 14 [size =\"40153088\"]\n  8 -> 17 [size =\"40153088\"]\n  8 -> 18 [size =\"40153088\"]\n  9 [size=\"59002880\", alpha=\"0.09\", expect_size=\"23601152\"] \n  9 -> 15 [size =\"23601152\"]\n  9 -> 16 [size =\"23601152\"]\n  10 [size=\"78202880\", alpha=\"0.18\", expect_size=\"31281152\"] \n  10 -> 14 [size =\"31281152\"]\n  10 -> 17 [size =\"31281152\"]\n  11 [size=\"21585920\", alpha=\"0.10\", expect_size=\"8634368\"] \n  11 -> 16 [size =\"8634368\"]\n  11 -> 18 [size =\"8634368\"]\n  11 -> 19 [size =\"8634368\"]\n  12 [size=\"103400960\", alpha=\"0.04\", expect_size=\"41360384\"] \n  12 -> 13 [size =\"41360384\"]\n  12 -> 14 [size =\"41360384\"]\n  12 -> 15 [size =\"41360384\"]\n  12 -> 16 [size =\"41360384\"]\n  12 -> 17 [size =\"41360384\"]\n  12 -> 19 [size =\"41360384\"]\n  13 [size=\"96250880\", alpha=\"0.02\", expect_size=\"38500352\"] \n  13 -> 21 [size =\"38500352\"]\n  13 -> 23 [size =\"38500352\"]\n  14 [size=\"114178560\", alpha=\"0.17\", expect_size=\"45671424\"] \n  14 -> 20 [size =\"45671424\"]\n  14 -> 23 [size =\"45671424\"]\n  14 -> 24 [size =\"45671424\"]\n  14 -> 25 [size =\"45671424\"]\n  15 [size=\"49948160\", alpha=\"0.14\", expect_size=\"19979264\"] \n  15 -> 20 [size =\"19979264\"]\n  15 -> 22 [size =\"19979264\"]\n  15 -> 24 [size =\"19979264\"]\n  15 -> 25 [size =\"19979264\"]\n  16 [size=\"101488640\", alpha=\"0.15\", expect_size=\"40595456\"] \n  16 -> 22 [size =\"40595456\"]\n  16 -> 22 [size =\"40595456\"]\n  16 -> 24 [size =\"40595456\"]\n  17 [size=\"130375680\", alpha=\"0.15\", expect_size=\"52150272\"] \n  17 -> 21 [size =\"52150272\"]\n  17 -> 22 [size =\"52150272\"]\n  17 -> 23 [size =\"52150272\"]\n  18 [size=\"17853440\", alpha=\"0.01\", expect_size=\"7141376\"] \n  18 -> 21 [size =\"7141376\"]\n  18 -> 23 [size =\"7141376\"]\n  18 -> 24 [size =\"7141376\"]\n  18 -> 25 [size =\"7141376\"]\n  19 [size=\"110671360\", alpha=\"0.04\", expect_size=\"44268544\"] \n  19 -> 21 [size =\"44268544\"]\n  19 -> 24 [size =\"44268544\"]\n  19 -> 25 [size =\"44268544\"]\n  20 [size=\"44999680\", alpha=\"0.03\", expect_size=\"17999872\"] \n  21 [size=\"31106560\", alpha=\"0.10\", expect_size=\"12442624\"] \n  21 -> 26 [size =\"12442624\"]\n  21 -> 28 [size =\"12442624\"]\n  22 [size=\"91020800\", alpha=\"0.18\", expect_size=\"36408320\"] \n  22 -> 26 [size =\"36408320\"]\n  22 -> 28 [size =\"36408320\"]\n  23 [size=\"116111360\", alpha=\"0.00\", expect_size=\"46444544\"] \n  23 -> 26 [size =\"46444544\"]\n  23 -> 27 [size =\"46444544\"]\n  23 -> 28 [size =\"46444544\"]\n  23 -> 29 [size =\"46444544\"]\n  24 [size=\"130808320\", alpha=\"0.20\", expect_size=\"52323328\"] \n  24 -> 28 [size =\"52323328\"]\n  24 -> 29 [size =\"52323328\"]\n  25 [size=\"115870720\", alpha=\"0.13\", expect_size=\"46348288\"] \n  25 -> 26 [size =\"46348288\"]\n  25 -> 27 [size =\"46348288\"]\n  26 [size=\"82608640\", alpha=\"0.18\", expect_size=\"33043456\"] \n  26 -> 30 [size =\"33043456\"]\n  26 -> 31 [size =\"33043456\"]\n  26 -> 32 [size =\"33043456\"]\n  26 -> 33 [size =\"33043456\"]\n  26 -> 34 [size =\"33043456\"]\n  26 -> 36 [size =\"33043456\"]\n  27 [size=\"55214080\", alpha=\"0.09\", expect_size=\"22085632\"] \n  27 -> 30 [size =\"22085632\"]\n  27 -> 31 [size =\"22085632\"]\n  27 -> 35 [size =\"22085632\"]\n  27 -> 36 [size =\"22085632\"]\n  28 [size=\"27220480\", alpha=\"0.14\", expect_size=\"10888192\"] \n  28 -> 31 [size =\"10888192\"]\n  28 -> 35 [size =\"10888192\"]\n  29 [size=\"34060800\", alpha=\"0.07\", expect_size=\"13624320\"] \n  29 -> 30 [size =\"13624320\"]\n  29 -> 32 [size =\"13624320\"]\n  29 -> 33 [size =\"13624320\"]\n  30 [size=\"56568320\", alpha=\"0.12\", expect_size=\"22627328\"] \n  30 -> 37 [size =\"22627328\"]\n  30 -> 39 [size =\"22627328\"]\n  30 -> 40 [size =\"22627328\"]\n  31 [size=\"74964480\", alpha=\"0.18\", expect_size=\"29985792\"] \n  31 -> 40 [size =\"29985792\"]\n  32 [size=\"18897920\", alpha=\"0.19\", expect_size=\"7559168\"] \n  32 -> 40 [size =\"7559168\"]\n  32 -> 41 [size =\"7559168\"]\n  33 [size=\"124446720\", alpha=\"0.14\", expect_size=\"49778688\"] \n  33 -> 38 [size =\"49778688\"]\n  34 [size=\"126873600\", alpha=\"0.06\", expect_size=\"50749440\"] \n  34 -> 38 [size =\"50749440\"]\n  34 -> 40 [size =\"50749440\"]\n  35 [size=\"125706240\", alpha=\"0.05\", expect_size=\"50282496\"] \n  35 -> 38 [size =\"50282496\"]\n  36 [size=\"86525440\", alpha=\"0.18\", expect_size=\"34610176\"] \n  36 -> 38 [size =\"34610176\"]\n  36 -> 40 [size =\"34610176\"]\n  37 [size=\"74501120\", alpha=\"0.12\", expect_size=\"29800448\"] \n  37 -> 44 [size =\"29800448\"]\n  37 -> 45 [size =\"29800448\"]\n  38 [size=\"125626880\", alpha=\"0.06\", expect_size=\"50250752\"] \n  38 -> 42 [size =\"50250752\"]\n  38 -> 45 [size =\"50250752\"]\n  39 [size=\"91251200\", alpha=\"0.17\", expect_size=\"36500480\"] \n  39 -> 43 [size =\"36500480\"]\n  40 [size=\"17267200\", alpha=\"0.13\", expect_size=\"6906880\"] \n  40 -> 43 [size =\"6906880\"]\n  40 -> 44 [size =\"6906880\"]\n  41 [size=\"86743040\", alpha=\"0.12\", expect_size=\"34697216\"] \n  41 -> 43 [size =\"34697216\"]\n  41 -> 45 [size =\"34697216\"]\n  42 [size=\"72222720\", alpha=\"0.04\", expect_size=\"28889088\"] \n  43 [size=\"64005120\", alpha=\"0.14\", expect_size=\"25602048\"] \n  44 [size=\"27269120\", alpha=\"0.04\", expect_size=\"10907648\"] \n  45 [size=\"63086080\", alpha=\"0.11\", expect_size=\"25234432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14914560\", alpha=\"0.14\", expect_size=\"5965824\"] \n  1 -> 9 [size =\"5965824\"]\n  2 [size=\"51550720\", alpha=\"0.11\", expect_size=\"20620288\"] \n  2 -> 10 [size =\"20620288\"]\n  2 -> 15 [size =\"20620288\"]\n  2 -> 16 [size =\"20620288\"]\n  3 [size=\"41418240\", alpha=\"0.00\", expect_size=\"16567296\"] \n  3 -> 9 [size =\"16567296\"]\n  3 -> 10 [size =\"16567296\"]\n  3 -> 13 [size =\"16567296\"]\n  3 -> 15 [size =\"16567296\"]\n  3 -> 16 [size =\"16567296\"]\n  4 [size=\"116149760\", alpha=\"0.16\", expect_size=\"46459904\"] \n  4 -> 9 [size =\"46459904\"]\n  4 -> 10 [size =\"46459904\"]\n  4 -> 11 [size =\"46459904\"]\n  4 -> 15 [size =\"46459904\"]\n  5 [size=\"113899520\", alpha=\"0.17\", expect_size=\"45559808\"] \n  5 -> 12 [size =\"45559808\"]\n  5 -> 15 [size =\"45559808\"]\n  5 -> 16 [size =\"45559808\"]\n  6 [size=\"48069120\", alpha=\"0.14\", expect_size=\"19227648\"] \n  6 -> 15 [size =\"19227648\"]\n  6 -> 16 [size =\"19227648\"]\n  7 [size=\"98831360\", alpha=\"0.15\", expect_size=\"39532544\"] \n  7 -> 12 [size =\"39532544\"]\n  7 -> 13 [size =\"39532544\"]\n  7 -> 14 [size =\"39532544\"]\n  8 [size=\"56739840\", alpha=\"0.14\", expect_size=\"22695936\"] \n  8 -> 9 [size =\"22695936\"]\n  8 -> 10 [size =\"22695936\"]\n  8 -> 11 [size =\"22695936\"]\n  8 -> 16 [size =\"22695936\"]\n  9 [size=\"53880320\", alpha=\"0.10\", expect_size=\"21552128\"] \n  9 -> 18 [size =\"21552128\"]\n  9 -> 19 [size =\"21552128\"]\n  10 [size=\"116549120\", alpha=\"0.13\", expect_size=\"46619648\"] \n  10 -> 17 [size =\"46619648\"]\n  10 -> 18 [size =\"46619648\"]\n  10 -> 19 [size =\"46619648\"]\n  11 [size=\"70612480\", alpha=\"0.19\", expect_size=\"28244992\"] \n  11 -> 17 [size =\"28244992\"]\n  11 -> 20 [size =\"28244992\"]\n  11 -> 21 [size =\"28244992\"]\n  12 [size=\"36764160\", alpha=\"0.19\", expect_size=\"14705664\"] \n  12 -> 17 [size =\"14705664\"]\n  12 -> 19 [size =\"14705664\"]\n  13 [size=\"100887040\", alpha=\"0.16\", expect_size=\"40354816\"] \n  13 -> 20 [size =\"40354816\"]\n  14 [size=\"102771200\", alpha=\"0.18\", expect_size=\"41108480\"] \n  14 -> 17 [size =\"41108480\"]\n  14 -> 18 [size =\"41108480\"]\n  15 [size=\"76835840\", alpha=\"0.17\", expect_size=\"30734336\"] \n  15 -> 17 [size =\"30734336\"]\n  15 -> 19 [size =\"30734336\"]\n  15 -> 20 [size =\"30734336\"]\n  15 -> 21 [size =\"30734336\"]\n  16 [size=\"58396160\", alpha=\"0.18\", expect_size=\"23358464\"] \n  16 -> 18 [size =\"23358464\"]\n  16 -> 19 [size =\"23358464\"]\n  17 [size=\"23575040\", alpha=\"0.15\", expect_size=\"9430016\"] \n  17 -> 24 [size =\"9430016\"]\n  17 -> 26 [size =\"9430016\"]\n  18 [size=\"110018560\", alpha=\"0.16\", expect_size=\"44007424\"] \n  18 -> 23 [size =\"44007424\"]\n  18 -> 24 [size =\"44007424\"]\n  19 [size=\"73505280\", alpha=\"0.06\", expect_size=\"29402112\"] \n  19 -> 23 [size =\"29402112\"]\n  19 -> 25 [size =\"29402112\"]\n  19 -> 26 [size =\"29402112\"]\n  20 [size=\"131005440\", alpha=\"0.00\", expect_size=\"52402176\"] \n  20 -> 24 [size =\"52402176\"]\n  20 -> 25 [size =\"52402176\"]\n  20 -> 27 [size =\"52402176\"]\n  21 [size=\"89579520\", alpha=\"0.16\", expect_size=\"35831808\"] \n  21 -> 22 [size =\"35831808\"]\n  21 -> 26 [size =\"35831808\"]\n  21 -> 27 [size =\"35831808\"]\n  21 -> 28 [size =\"35831808\"]\n  22 [size=\"83005440\", alpha=\"0.18\", expect_size=\"33202176\"] \n  22 -> 31 [size =\"33202176\"]\n  22 -> 33 [size =\"33202176\"]\n  23 [size=\"77376000\", alpha=\"0.04\", expect_size=\"30950400\"] \n  23 -> 29 [size =\"30950400\"]\n  23 -> 30 [size =\"30950400\"]\n  23 -> 34 [size =\"30950400\"]\n  24 [size=\"51914240\", alpha=\"0.08\", expect_size=\"20765696\"] \n  24 -> 32 [size =\"20765696\"]\n  24 -> 34 [size =\"20765696\"]\n  24 -> 34 [size =\"20765696\"]\n  25 [size=\"42521600\", alpha=\"0.09\", expect_size=\"17008640\"] \n  25 -> 32 [size =\"17008640\"]\n  25 -> 34 [size =\"17008640\"]\n  26 [size=\"27752960\", alpha=\"0.16\", expect_size=\"11101184\"] \n  26 -> 29 [size =\"11101184\"]\n  26 -> 30 [size =\"11101184\"]\n  27 [size=\"14231040\", alpha=\"0.18\", expect_size=\"5692416\"] \n  27 -> 29 [size =\"5692416\"]\n  28 [size=\"105459200\", alpha=\"0.07\", expect_size=\"42183680\"] \n  28 -> 31 [size =\"42183680\"]\n  28 -> 32 [size =\"42183680\"]\n  29 [size=\"82240000\", alpha=\"0.03\", expect_size=\"32896000\"] \n  30 [size=\"114831360\", alpha=\"0.16\", expect_size=\"45932544\"] \n  30 -> 35 [size =\"45932544\"]\n  30 -> 38 [size =\"45932544\"]\n  31 [size=\"117655040\", alpha=\"0.19\", expect_size=\"47062016\"] \n  32 [size=\"92520960\", alpha=\"0.07\", expect_size=\"37008384\"] \n  32 -> 36 [size =\"37008384\"]\n  32 -> 37 [size =\"37008384\"]\n  33 [size=\"77875200\", alpha=\"0.09\", expect_size=\"31150080\"] \n  33 -> 35 [size =\"31150080\"]\n  33 -> 36 [size =\"31150080\"]\n  33 -> 38 [size =\"31150080\"]\n  34 [size=\"102026240\", alpha=\"0.06\", expect_size=\"40810496\"] \n  34 -> 36 [size =\"40810496\"]\n  34 -> 38 [size =\"40810496\"]\n  35 [size=\"32089600\", alpha=\"0.14\", expect_size=\"12835840\"] \n  36 [size=\"86822400\", alpha=\"0.10\", expect_size=\"34728960\"] \n  36 -> 39 [size =\"34728960\"]\n  36 -> 40 [size =\"34728960\"]\n  36 -> 41 [size =\"34728960\"]\n  37 [size=\"65256960\", alpha=\"0.08\", expect_size=\"26102784\"] \n  37 -> 39 [size =\"26102784\"]\n  37 -> 41 [size =\"26102784\"]\n  38 [size=\"53122560\", alpha=\"0.01\", expect_size=\"21249024\"] \n  38 -> 41 [size =\"21249024\"]\n  39 [size=\"94049280\", alpha=\"0.06\", expect_size=\"37619712\"] \n  39 -> 42 [size =\"37619712\"]\n  39 -> 44 [size =\"37619712\"]\n  39 -> 45 [size =\"37619712\"]\n  40 [size=\"110850560\", alpha=\"0.10\", expect_size=\"44340224\"] \n  40 -> 43 [size =\"44340224\"]\n  40 -> 44 [size =\"44340224\"]\n  41 [size=\"89003520\", alpha=\"0.07\", expect_size=\"35601408\"] \n  41 -> 42 [size =\"35601408\"]\n  41 -> 43 [size =\"35601408\"]\n  41 -> 45 [size =\"35601408\"]\n  42 [size=\"86013440\", alpha=\"0.16\", expect_size=\"34405376\"] \n  43 [size=\"125542400\", alpha=\"0.16\", expect_size=\"50216960\"] \n  44 [size=\"59438080\", alpha=\"0.03\", expect_size=\"23775232\"] \n  45 [size=\"95331840\", alpha=\"0.14\", expect_size=\"38132736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97472000\", alpha=\"0.03\", expect_size=\"38988800\"] \n  1 -> 6 [size =\"38988800\"]\n  1 -> 7 [size =\"38988800\"]\n  2 [size=\"103424000\", alpha=\"0.10\", expect_size=\"41369600\"] \n  2 -> 7 [size =\"41369600\"]\n  3 [size=\"119009280\", alpha=\"0.04\", expect_size=\"47603712\"] \n  3 -> 7 [size =\"47603712\"]\n  3 -> 8 [size =\"47603712\"]\n  4 [size=\"33843200\", alpha=\"0.19\", expect_size=\"13537280\"] \n  4 -> 5 [size =\"13537280\"]\n  4 -> 6 [size =\"13537280\"]\n  5 [size=\"70351360\", alpha=\"0.15\", expect_size=\"28140544\"] \n  5 -> 10 [size =\"28140544\"]\n  5 -> 13 [size =\"28140544\"]\n  6 [size=\"114741760\", alpha=\"0.08\", expect_size=\"45896704\"] \n  6 -> 9 [size =\"45896704\"]\n  7 [size=\"52800000\", alpha=\"0.12\", expect_size=\"21120000\"] \n  7 -> 9 [size =\"21120000\"]\n  7 -> 11 [size =\"21120000\"]\n  7 -> 12 [size =\"21120000\"]\n  8 [size=\"74403840\", alpha=\"0.12\", expect_size=\"29761536\"] \n  8 -> 11 [size =\"29761536\"]\n  9 [size=\"126661120\", alpha=\"0.19\", expect_size=\"50664448\"] \n  9 -> 16 [size =\"50664448\"]\n  10 [size=\"112358400\", alpha=\"0.14\", expect_size=\"44943360\"] \n  10 -> 14 [size =\"44943360\"]\n  10 -> 15 [size =\"44943360\"]\n  10 -> 17 [size =\"44943360\"]\n  11 [size=\"117066240\", alpha=\"0.04\", expect_size=\"46826496\"] \n  12 [size=\"14251520\", alpha=\"0.15\", expect_size=\"5700608\"] \n  12 -> 17 [size =\"5700608\"]\n  13 [size=\"75648000\", alpha=\"0.08\", expect_size=\"30259200\"] \n  13 -> 14 [size =\"30259200\"]\n  14 [size=\"99671040\", alpha=\"0.11\", expect_size=\"39868416\"] \n  14 -> 18 [size =\"39868416\"]\n  14 -> 19 [size =\"39868416\"]\n  14 -> 20 [size =\"39868416\"]\n  14 -> 21 [size =\"39868416\"]\n  15 [size=\"93094400\", alpha=\"0.01\", expect_size=\"37237760\"] \n  15 -> 18 [size =\"37237760\"]\n  15 -> 19 [size =\"37237760\"]\n  16 [size=\"64576000\", alpha=\"0.14\", expect_size=\"25830400\"] \n  16 -> 22 [size =\"25830400\"]\n  17 [size=\"111797760\", alpha=\"0.18\", expect_size=\"44719104\"] \n  17 -> 18 [size =\"44719104\"]\n  17 -> 20 [size =\"44719104\"]\n  18 [size=\"64627200\", alpha=\"0.03\", expect_size=\"25850880\"] \n  18 -> 25 [size =\"25850880\"]\n  18 -> 26 [size =\"25850880\"]\n  18 -> 28 [size =\"25850880\"]\n  18 -> 29 [size =\"25850880\"]\n  19 [size=\"19013120\", alpha=\"0.11\", expect_size=\"7605248\"] \n  19 -> 23 [size =\"7605248\"]\n  19 -> 24 [size =\"7605248\"]\n  20 [size=\"15930880\", alpha=\"0.17\", expect_size=\"6372352\"] \n  20 -> 25 [size =\"6372352\"]\n  20 -> 28 [size =\"6372352\"]\n  21 [size=\"99537920\", alpha=\"0.17\", expect_size=\"39815168\"] \n  21 -> 27 [size =\"39815168\"]\n  21 -> 29 [size =\"39815168\"]\n  22 [size=\"122352640\", alpha=\"0.13\", expect_size=\"48941056\"] \n  22 -> 25 [size =\"48941056\"]\n  22 -> 26 [size =\"48941056\"]\n  22 -> 27 [size =\"48941056\"]\n  22 -> 29 [size =\"48941056\"]\n  23 [size=\"91653120\", alpha=\"0.07\", expect_size=\"36661248\"] \n  23 -> 32 [size =\"36661248\"]\n  23 -> 34 [size =\"36661248\"]\n  24 [size=\"23505920\", alpha=\"0.04\", expect_size=\"9402368\"] \n  24 -> 32 [size =\"9402368\"]\n  24 -> 33 [size =\"9402368\"]\n  25 [size=\"85834240\", alpha=\"0.11\", expect_size=\"34333696\"] \n  25 -> 31 [size =\"34333696\"]\n  25 -> 33 [size =\"34333696\"]\n  25 -> 35 [size =\"34333696\"]\n  26 [size=\"94080000\", alpha=\"0.16\", expect_size=\"37632000\"] \n  26 -> 30 [size =\"37632000\"]\n  26 -> 31 [size =\"37632000\"]\n  26 -> 32 [size =\"37632000\"]\n  26 -> 33 [size =\"37632000\"]\n  26 -> 35 [size =\"37632000\"]\n  26 -> 36 [size =\"37632000\"]\n  27 [size=\"56122880\", alpha=\"0.07\", expect_size=\"22449152\"] \n  27 -> 31 [size =\"22449152\"]\n  27 -> 33 [size =\"22449152\"]\n  27 -> 35 [size =\"22449152\"]\n  28 [size=\"44761600\", alpha=\"0.08\", expect_size=\"17904640\"] \n  28 -> 32 [size =\"17904640\"]\n  28 -> 33 [size =\"17904640\"]\n  28 -> 36 [size =\"17904640\"]\n  29 [size=\"63144960\", alpha=\"0.09\", expect_size=\"25257984\"] \n  29 -> 30 [size =\"25257984\"]\n  29 -> 36 [size =\"25257984\"]\n  30 [size=\"125928960\", alpha=\"0.06\", expect_size=\"50371584\"] \n  30 -> 38 [size =\"50371584\"]\n  30 -> 39 [size =\"50371584\"]\n  31 [size=\"107555840\", alpha=\"0.01\", expect_size=\"43022336\"] \n  31 -> 37 [size =\"43022336\"]\n  31 -> 38 [size =\"43022336\"]\n  31 -> 42 [size =\"43022336\"]\n  32 [size=\"92392960\", alpha=\"0.17\", expect_size=\"36957184\"] \n  32 -> 41 [size =\"36957184\"]\n  33 [size=\"52797440\", alpha=\"0.02\", expect_size=\"21118976\"] \n  33 -> 37 [size =\"21118976\"]\n  34 [size=\"94668800\", alpha=\"0.03\", expect_size=\"37867520\"] \n  34 -> 39 [size =\"37867520\"]\n  35 [size=\"120783360\", alpha=\"0.17\", expect_size=\"48313344\"] \n  35 -> 38 [size =\"48313344\"]\n  35 -> 39 [size =\"48313344\"]\n  36 [size=\"70417920\", alpha=\"0.00\", expect_size=\"28167168\"] \n  36 -> 38 [size =\"28167168\"]\n  36 -> 39 [size =\"28167168\"]\n  36 -> 40 [size =\"28167168\"]\n  37 [size=\"45212160\", alpha=\"0.20\", expect_size=\"18084864\"] \n  37 -> 43 [size =\"18084864\"]\n  37 -> 45 [size =\"18084864\"]\n  38 [size=\"84858880\", alpha=\"0.08\", expect_size=\"33943552\"] \n  38 -> 43 [size =\"33943552\"]\n  38 -> 44 [size =\"33943552\"]\n  39 [size=\"14727680\", alpha=\"0.17\", expect_size=\"5891072\"] \n  39 -> 43 [size =\"5891072\"]\n  39 -> 44 [size =\"5891072\"]\n  40 [size=\"66334720\", alpha=\"0.07\", expect_size=\"26533888\"] \n  40 -> 44 [size =\"26533888\"]\n  41 [size=\"103006720\", alpha=\"0.12\", expect_size=\"41202688\"] \n  42 [size=\"110735360\", alpha=\"0.15\", expect_size=\"44294144\"] \n  42 -> 45 [size =\"44294144\"]\n  43 [size=\"90667520\", alpha=\"0.11\", expect_size=\"36267008\"] \n  44 [size=\"105344000\", alpha=\"0.09\", expect_size=\"42137600\"] \n  45 [size=\"123366400\", alpha=\"0.19\", expect_size=\"49346560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77765120\", alpha=\"0.08\", expect_size=\"31106048\"] \n  1 -> 36 [size =\"31106048\"]\n  1 -> 39 [size =\"31106048\"]\n  1 -> 43 [size =\"31106048\"]\n  1 -> 45 [size =\"31106048\"]\n  2 [size=\"38548480\", alpha=\"0.14\", expect_size=\"15419392\"] \n  2 -> 36 [size =\"15419392\"]\n  2 -> 38 [size =\"15419392\"]\n  2 -> 39 [size =\"15419392\"]\n  2 -> 40 [size =\"15419392\"]\n  2 -> 43 [size =\"15419392\"]\n  2 -> 45 [size =\"15419392\"]\n  3 [size=\"27932160\", alpha=\"0.05\", expect_size=\"11172864\"] \n  3 -> 40 [size =\"11172864\"]\n  3 -> 41 [size =\"11172864\"]\n  3 -> 43 [size =\"11172864\"]\n  4 [size=\"30676480\", alpha=\"0.13\", expect_size=\"12270592\"] \n  4 -> 36 [size =\"12270592\"]\n  4 -> 40 [size =\"12270592\"]\n  4 -> 43 [size =\"12270592\"]\n  4 -> 45 [size =\"12270592\"]\n  5 [size=\"98311680\", alpha=\"0.18\", expect_size=\"39324672\"] \n  5 -> 40 [size =\"39324672\"]\n  5 -> 41 [size =\"39324672\"]\n  5 -> 43 [size =\"39324672\"]\n  5 -> 45 [size =\"39324672\"]\n  6 [size=\"60403200\", alpha=\"0.02\", expect_size=\"24161280\"] \n  6 -> 40 [size =\"24161280\"]\n  6 -> 42 [size =\"24161280\"]\n  6 -> 43 [size =\"24161280\"]\n  7 [size=\"130813440\", alpha=\"0.05\", expect_size=\"52325376\"] \n  7 -> 36 [size =\"52325376\"]\n  7 -> 40 [size =\"52325376\"]\n  7 -> 44 [size =\"52325376\"]\n  7 -> 45 [size =\"52325376\"]\n  8 [size=\"76451840\", alpha=\"0.13\", expect_size=\"30580736\"] \n  8 -> 39 [size =\"30580736\"]\n  9 [size=\"30123520\", alpha=\"0.18\", expect_size=\"12049408\"] \n  9 -> 39 [size =\"12049408\"]\n  9 -> 42 [size =\"12049408\"]\n  9 -> 45 [size =\"12049408\"]\n  10 [size=\"71516160\", alpha=\"0.12\", expect_size=\"28606464\"] \n  10 -> 41 [size =\"28606464\"]\n  10 -> 45 [size =\"28606464\"]\n  11 [size=\"48084480\", alpha=\"0.01\", expect_size=\"19233792\"] \n  11 -> 39 [size =\"19233792\"]\n  11 -> 45 [size =\"19233792\"]\n  12 [size=\"95109120\", alpha=\"0.08\", expect_size=\"38043648\"] \n  12 -> 44 [size =\"38043648\"]\n  12 -> 45 [size =\"38043648\"]\n  13 [size=\"59701760\", alpha=\"0.07\", expect_size=\"23880704\"] \n  13 -> 36 [size =\"23880704\"]\n  13 -> 39 [size =\"23880704\"]\n  13 -> 40 [size =\"23880704\"]\n  13 -> 45 [size =\"23880704\"]\n  14 [size=\"86955520\", alpha=\"0.14\", expect_size=\"34782208\"] \n  14 -> 36 [size =\"34782208\"]\n  14 -> 40 [size =\"34782208\"]\n  14 -> 40 [size =\"34782208\"]\n  14 -> 41 [size =\"34782208\"]\n  14 -> 42 [size =\"34782208\"]\n  14 -> 43 [size =\"34782208\"]\n  14 -> 44 [size =\"34782208\"]\n  14 -> 45 [size =\"34782208\"]\n  15 [size=\"45194240\", alpha=\"0.09\", expect_size=\"18077696\"] \n  15 -> 36 [size =\"18077696\"]\n  15 -> 40 [size =\"18077696\"]\n  15 -> 43 [size =\"18077696\"]\n  15 -> 45 [size =\"18077696\"]\n  16 [size=\"30784000\", alpha=\"0.09\", expect_size=\"12313600\"] \n  16 -> 36 [size =\"12313600\"]\n  16 -> 37 [size =\"12313600\"]\n  16 -> 38 [size =\"12313600\"]\n  16 -> 40 [size =\"12313600\"]\n  16 -> 44 [size =\"12313600\"]\n  17 [size=\"42844160\", alpha=\"0.10\", expect_size=\"17137664\"] \n  17 -> 40 [size =\"17137664\"]\n  17 -> 41 [size =\"17137664\"]\n  17 -> 45 [size =\"17137664\"]\n  18 [size=\"72035840\", alpha=\"0.20\", expect_size=\"28814336\"] \n  18 -> 36 [size =\"28814336\"]\n  18 -> 38 [size =\"28814336\"]\n  18 -> 39 [size =\"28814336\"]\n  18 -> 40 [size =\"28814336\"]\n  18 -> 44 [size =\"28814336\"]\n  18 -> 45 [size =\"28814336\"]\n  19 [size=\"32076800\", alpha=\"0.15\", expect_size=\"12830720\"] \n  19 -> 36 [size =\"12830720\"]\n  19 -> 39 [size =\"12830720\"]\n  19 -> 40 [size =\"12830720\"]\n  19 -> 40 [size =\"12830720\"]\n  19 -> 41 [size =\"12830720\"]\n  19 -> 43 [size =\"12830720\"]\n  19 -> 45 [size =\"12830720\"]\n  20 [size=\"22085120\", alpha=\"0.00\", expect_size=\"8834048\"] \n  20 -> 39 [size =\"8834048\"]\n  20 -> 40 [size =\"8834048\"]\n  20 -> 41 [size =\"8834048\"]\n  20 -> 45 [size =\"8834048\"]\n  21 [size=\"91591680\", alpha=\"0.17\", expect_size=\"36636672\"] \n  21 -> 39 [size =\"36636672\"]\n  21 -> 40 [size =\"36636672\"]\n  21 -> 41 [size =\"36636672\"]\n  21 -> 43 [size =\"36636672\"]\n  21 -> 45 [size =\"36636672\"]\n  22 [size=\"94635520\", alpha=\"0.17\", expect_size=\"37854208\"] \n  22 -> 39 [size =\"37854208\"]\n  22 -> 40 [size =\"37854208\"]\n  22 -> 41 [size =\"37854208\"]\n  22 -> 43 [size =\"37854208\"]\n  22 -> 45 [size =\"37854208\"]\n  23 [size=\"24860160\", alpha=\"0.00\", expect_size=\"9944064\"] \n  23 -> 36 [size =\"9944064\"]\n  23 -> 39 [size =\"9944064\"]\n  24 [size=\"68802560\", alpha=\"0.06\", expect_size=\"27521024\"] \n  24 -> 36 [size =\"27521024\"]\n  24 -> 41 [size =\"27521024\"]\n  24 -> 43 [size =\"27521024\"]\n  24 -> 44 [size =\"27521024\"]\n  25 [size=\"31311360\", alpha=\"0.06\", expect_size=\"12524544\"] \n  25 -> 36 [size =\"12524544\"]\n  25 -> 38 [size =\"12524544\"]\n  25 -> 40 [size =\"12524544\"]\n  25 -> 43 [size =\"12524544\"]\n  25 -> 45 [size =\"12524544\"]\n  26 [size=\"82301440\", alpha=\"0.15\", expect_size=\"32920576\"] \n  26 -> 43 [size =\"32920576\"]\n  27 [size=\"17863680\", alpha=\"0.03\", expect_size=\"7145472\"] \n  27 -> 41 [size =\"7145472\"]\n  27 -> 43 [size =\"7145472\"]\n  28 [size=\"78658560\", alpha=\"0.02\", expect_size=\"31463424\"] \n  28 -> 40 [size =\"31463424\"]\n  28 -> 41 [size =\"31463424\"]\n  29 [size=\"76730880\", alpha=\"0.04\", expect_size=\"30692352\"] \n  29 -> 36 [size =\"30692352\"]\n  29 -> 40 [size =\"30692352\"]\n  29 -> 43 [size =\"30692352\"]\n  30 [size=\"48529920\", alpha=\"0.16\", expect_size=\"19411968\"] \n  30 -> 40 [size =\"19411968\"]\n  30 -> 40 [size =\"19411968\"]\n  30 -> 42 [size =\"19411968\"]\n  30 -> 44 [size =\"19411968\"]\n  30 -> 45 [size =\"19411968\"]\n  31 [size=\"50987520\", alpha=\"0.14\", expect_size=\"20395008\"] \n  31 -> 39 [size =\"20395008\"]\n  31 -> 44 [size =\"20395008\"]\n  32 [size=\"30794240\", alpha=\"0.06\", expect_size=\"12317696\"] \n  33 [size=\"13399040\", alpha=\"0.06\", expect_size=\"5359616\"] \n  33 -> 36 [size =\"5359616\"]\n  33 -> 40 [size =\"5359616\"]\n  33 -> 43 [size =\"5359616\"]\n  33 -> 44 [size =\"5359616\"]\n  33 -> 45 [size =\"5359616\"]\n  34 [size=\"13621760\", alpha=\"0.18\", expect_size=\"5448704\"] \n  34 -> 36 [size =\"5448704\"]\n  34 -> 38 [size =\"5448704\"]\n  34 -> 39 [size =\"5448704\"]\n  34 -> 40 [size =\"5448704\"]\n  34 -> 43 [size =\"5448704\"]\n  34 -> 45 [size =\"5448704\"]\n  35 [size=\"49039360\", alpha=\"0.15\", expect_size=\"19615744\"] \n  35 -> 36 [size =\"19615744\"]\n  35 -> 40 [size =\"19615744\"]\n  35 -> 43 [size =\"19615744\"]\n  35 -> 45 [size =\"19615744\"]\n  36 [size=\"86886400\", alpha=\"0.16\", expect_size=\"34754560\"] \n  37 [size=\"56499200\", alpha=\"0.02\", expect_size=\"22599680\"] \n  38 [size=\"75586560\", alpha=\"0.17\", expect_size=\"30234624\"] \n  39 [size=\"89530880\", alpha=\"0.16\", expect_size=\"35812352\"] \n  40 [size=\"115345920\", alpha=\"0.16\", expect_size=\"46138368\"] \n  41 [size=\"93480960\", alpha=\"0.10\", expect_size=\"37392384\"] \n  42 [size=\"58913280\", alpha=\"0.18\", expect_size=\"23565312\"] \n  43 [size=\"93647360\", alpha=\"0.07\", expect_size=\"37458944\"] \n  44 [size=\"126312960\", alpha=\"0.06\", expect_size=\"50525184\"] \n  45 [size=\"112796160\", alpha=\"0.08\", expect_size=\"45118464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78090240\", alpha=\"0.10\", expect_size=\"39045120\"] \n  1 -> 2 [size =\"39045120\"]\n  2 [size=\"71184384\", alpha=\"0.19\", expect_size=\"35592192\"] \n  2 -> 3 [size =\"35592192\"]\n  3 [size=\"37095424\", alpha=\"0.02\", expect_size=\"18547712\"] \n  3 -> 4 [size =\"18547712\"]\n  4 [size=\"62963712\", alpha=\"0.14\", expect_size=\"31481856\"] \n  4 -> 5 [size =\"31481856\"]\n  5 [size=\"68337664\", alpha=\"0.06\", expect_size=\"34168832\"] \n  5 -> 6 [size =\"34168832\"]\n  6 [size=\"79085568\", alpha=\"0.05\", expect_size=\"39542784\"] \n  6 -> 7 [size =\"39542784\"]\n  7 [size=\"101634048\", alpha=\"0.07\", expect_size=\"50817024\"] \n  7 -> 8 [size =\"50817024\"]\n  8 [size=\"101881856\", alpha=\"0.20\", expect_size=\"50940928\"] \n  8 -> 9 [size =\"50940928\"]\n  9 [size=\"81975296\", alpha=\"0.06\", expect_size=\"40987648\"] \n  9 -> 10 [size =\"40987648\"]\n  10 [size=\"85278720\", alpha=\"0.04\", expect_size=\"42639360\"] \n  10 -> 11 [size =\"42639360\"]\n  11 [size=\"17330176\", alpha=\"0.06\", expect_size=\"8665088\"] \n  11 -> 12 [size =\"8665088\"]\n  12 [size=\"66019328\", alpha=\"0.06\", expect_size=\"33009664\"] \n  12 -> 13 [size =\"33009664\"]\n  13 [size=\"59996160\", alpha=\"0.19\", expect_size=\"29998080\"] \n  13 -> 14 [size =\"29998080\"]\n  14 [size=\"67842048\", alpha=\"0.11\", expect_size=\"33921024\"] \n  14 -> 15 [size =\"33921024\"]\n  15 [size=\"39188480\", alpha=\"0.16\", expect_size=\"19594240\"] \n  15 -> 16 [size =\"19594240\"]\n  16 [size=\"66535424\", alpha=\"0.01\", expect_size=\"33267712\"] \n  16 -> 17 [size =\"33267712\"]\n  17 [size=\"92346368\", alpha=\"0.09\", expect_size=\"46173184\"] \n  17 -> 18 [size =\"46173184\"]\n  18 [size=\"29487104\", alpha=\"0.04\", expect_size=\"14743552\"] \n  18 -> 19 [size =\"14743552\"]\n  19 [size=\"29403136\", alpha=\"0.09\", expect_size=\"14701568\"] \n  19 -> 20 [size =\"14701568\"]\n  20 [size=\"57518080\", alpha=\"0.14\", expect_size=\"28759040\"] \n  20 -> 21 [size =\"28759040\"]\n  21 [size=\"77297664\", alpha=\"0.14\", expect_size=\"38648832\"] \n  21 -> 22 [size =\"38648832\"]\n  22 [size=\"104810496\", alpha=\"0.06\", expect_size=\"52405248\"] \n  22 -> 23 [size =\"52405248\"]\n  23 [size=\"37117952\", alpha=\"0.04\", expect_size=\"18558976\"] \n  23 -> 24 [size =\"18558976\"]\n  24 [size=\"31995904\", alpha=\"0.13\", expect_size=\"15997952\"] \n  24 -> 25 [size =\"15997952\"]\n  25 [size=\"82806784\", alpha=\"0.15\", expect_size=\"41403392\"] \n  25 -> 26 [size =\"41403392\"]\n  26 [size=\"64104448\", alpha=\"0.11\", expect_size=\"32052224\"] \n  26 -> 27 [size =\"32052224\"]\n  27 [size=\"69756928\", alpha=\"0.06\", expect_size=\"34878464\"] \n  27 -> 28 [size =\"34878464\"]\n  28 [size=\"19359744\", alpha=\"0.01\", expect_size=\"9679872\"] \n  28 -> 29 [size =\"9679872\"]\n  29 [size=\"36073472\", alpha=\"0.11\", expect_size=\"18036736\"] \n  29 -> 30 [size =\"18036736\"]\n  30 [size=\"76589056\", alpha=\"0.17\", expect_size=\"38294528\"] \n  30 -> 31 [size =\"38294528\"]\n  31 [size=\"47730688\", alpha=\"0.04\", expect_size=\"23865344\"] \n  31 -> 32 [size =\"23865344\"]\n  32 [size=\"17102848\", alpha=\"0.03\", expect_size=\"8551424\"] \n  32 -> 33 [size =\"8551424\"]\n  33 [size=\"45402112\", alpha=\"0.12\", expect_size=\"22701056\"] \n  33 -> 34 [size =\"22701056\"]\n  34 [size=\"64872448\", alpha=\"0.14\", expect_size=\"32436224\"] \n  34 -> 35 [size =\"32436224\"]\n  35 [size=\"33615872\", alpha=\"0.02\", expect_size=\"16807936\"] \n  35 -> 36 [size =\"16807936\"]\n  36 [size=\"103858176\", alpha=\"0.01\", expect_size=\"51929088\"] \n  36 -> 37 [size =\"51929088\"]\n  37 [size=\"61085696\", alpha=\"0.18\", expect_size=\"30542848\"] \n  37 -> 38 [size =\"30542848\"]\n  38 [size=\"90816512\", alpha=\"0.19\", expect_size=\"45408256\"] \n  38 -> 39 [size =\"45408256\"]\n  39 [size=\"95707136\", alpha=\"0.04\", expect_size=\"47853568\"] \n  39 -> 40 [size =\"47853568\"]\n  40 [size=\"52873216\", alpha=\"0.19\", expect_size=\"26436608\"] \n  40 -> 41 [size =\"26436608\"]\n  41 [size=\"37111808\", alpha=\"0.08\", expect_size=\"18555904\"] \n  41 -> 42 [size =\"18555904\"]\n  42 [size=\"55265280\", alpha=\"0.17\", expect_size=\"27632640\"] \n  42 -> 43 [size =\"27632640\"]\n  43 [size=\"68497408\", alpha=\"0.12\", expect_size=\"34248704\"] \n  43 -> 44 [size =\"34248704\"]\n  44 [size=\"31946752\", alpha=\"0.11\", expect_size=\"15973376\"] \n  44 -> 45 [size =\"15973376\"]\n  45 [size=\"97345536\", alpha=\"0.06\", expect_size=\"48672768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38049792\", alpha=\"0.06\", expect_size=\"19024896\"] \n  1 -> 3 [size =\"19024896\"]\n  1 -> 5 [size =\"19024896\"]\n  2 [size=\"36536320\", alpha=\"0.10\", expect_size=\"18268160\"] \n  2 -> 4 [size =\"18268160\"]\n  3 [size=\"93898752\", alpha=\"0.20\", expect_size=\"46949376\"] \n  3 -> 6 [size =\"46949376\"]\n  3 -> 8 [size =\"46949376\"]\n  4 [size=\"15769600\", alpha=\"0.05\", expect_size=\"7884800\"] \n  4 -> 7 [size =\"7884800\"]\n  5 [size=\"78430208\", alpha=\"0.04\", expect_size=\"39215104\"] \n  5 -> 8 [size =\"39215104\"]\n  6 [size=\"55558144\", alpha=\"0.16\", expect_size=\"27779072\"] \n  6 -> 9 [size =\"27779072\"]\n  6 -> 10 [size =\"27779072\"]\n  7 [size=\"17577984\", alpha=\"0.14\", expect_size=\"8788992\"] \n  7 -> 9 [size =\"8788992\"]\n  8 [size=\"97400832\", alpha=\"0.19\", expect_size=\"48700416\"] \n  8 -> 10 [size =\"48700416\"]\n  8 -> 11 [size =\"48700416\"]\n  9 [size=\"30793728\", alpha=\"0.16\", expect_size=\"15396864\"] \n  9 -> 12 [size =\"15396864\"]\n  10 [size=\"48320512\", alpha=\"0.18\", expect_size=\"24160256\"] \n  10 -> 12 [size =\"24160256\"]\n  10 -> 13 [size =\"24160256\"]\n  11 [size=\"43997184\", alpha=\"0.03\", expect_size=\"21998592\"] \n  11 -> 14 [size =\"21998592\"]\n  12 [size=\"70647808\", alpha=\"0.14\", expect_size=\"35323904\"] \n  12 -> 15 [size =\"35323904\"]\n  12 -> 17 [size =\"35323904\"]\n  13 [size=\"24905728\", alpha=\"0.16\", expect_size=\"12452864\"] \n  13 -> 17 [size =\"12452864\"]\n  14 [size=\"22599680\", alpha=\"0.11\", expect_size=\"11299840\"] \n  14 -> 16 [size =\"11299840\"]\n  15 [size=\"45324288\", alpha=\"0.09\", expect_size=\"22662144\"] \n  16 [size=\"63453184\", alpha=\"0.01\", expect_size=\"31726592\"] \n  16 -> 18 [size =\"31726592\"]\n  16 -> 20 [size =\"31726592\"]\n  17 [size=\"46843904\", alpha=\"0.09\", expect_size=\"23421952\"] \n  17 -> 18 [size =\"23421952\"]\n  17 -> 19 [size =\"23421952\"]\n  17 -> 20 [size =\"23421952\"]\n  18 [size=\"18585600\", alpha=\"0.04\", expect_size=\"9292800\"] \n  18 -> 23 [size =\"9292800\"]\n  19 [size=\"15329280\", alpha=\"0.06\", expect_size=\"7664640\"] \n  19 -> 22 [size =\"7664640\"]\n  20 [size=\"92141568\", alpha=\"0.11\", expect_size=\"46070784\"] \n  20 -> 21 [size =\"46070784\"]\n  20 -> 23 [size =\"46070784\"]\n  21 [size=\"83914752\", alpha=\"0.01\", expect_size=\"41957376\"] \n  21 -> 24 [size =\"41957376\"]\n  22 [size=\"98664448\", alpha=\"0.17\", expect_size=\"49332224\"] \n  22 -> 25 [size =\"49332224\"]\n  22 -> 26 [size =\"49332224\"]\n  23 [size=\"71104512\", alpha=\"0.11\", expect_size=\"35552256\"] \n  23 -> 24 [size =\"35552256\"]\n  24 [size=\"50198528\", alpha=\"0.05\", expect_size=\"25099264\"] \n  24 -> 27 [size =\"25099264\"]\n  25 [size=\"102557696\", alpha=\"0.14\", expect_size=\"51278848\"] \n  25 -> 27 [size =\"51278848\"]\n  25 -> 28 [size =\"51278848\"]\n  26 [size=\"49451008\", alpha=\"0.13\", expect_size=\"24725504\"] \n  27 [size=\"52781056\", alpha=\"0.13\", expect_size=\"26390528\"] \n  27 -> 29 [size =\"26390528\"]\n  28 [size=\"96053248\", alpha=\"0.11\", expect_size=\"48026624\"] \n  28 -> 30 [size =\"48026624\"]\n  29 [size=\"18919424\", alpha=\"0.14\", expect_size=\"9459712\"] \n  29 -> 31 [size =\"9459712\"]\n  30 [size=\"49096704\", alpha=\"0.05\", expect_size=\"24548352\"] \n  30 -> 32 [size =\"24548352\"]\n  31 [size=\"100370432\", alpha=\"0.03\", expect_size=\"50185216\"] \n  32 [size=\"11565056\", alpha=\"0.14\", expect_size=\"5782528\"] \n  32 -> 33 [size =\"5782528\"]\n  32 -> 34 [size =\"5782528\"]\n  33 [size=\"91846656\", alpha=\"0.07\", expect_size=\"45923328\"] \n  33 -> 37 [size =\"45923328\"]\n  34 [size=\"47140864\", alpha=\"0.04\", expect_size=\"23570432\"] \n  34 -> 35 [size =\"23570432\"]\n  34 -> 36 [size =\"23570432\"]\n  35 [size=\"71479296\", alpha=\"0.07\", expect_size=\"35739648\"] \n  35 -> 38 [size =\"35739648\"]\n  36 [size=\"44058624\", alpha=\"0.02\", expect_size=\"22029312\"] \n  37 [size=\"104327168\", alpha=\"0.05\", expect_size=\"52163584\"] \n  37 -> 38 [size =\"52163584\"]\n  37 -> 39 [size =\"52163584\"]\n  38 [size=\"70633472\", alpha=\"0.09\", expect_size=\"35316736\"] \n  38 -> 41 [size =\"35316736\"]\n  39 [size=\"29894656\", alpha=\"0.15\", expect_size=\"14947328\"] \n  39 -> 40 [size =\"14947328\"]\n  40 [size=\"96792576\", alpha=\"0.17\", expect_size=\"48396288\"] \n  40 -> 42 [size =\"48396288\"]\n  41 [size=\"26046464\", alpha=\"0.15\", expect_size=\"13023232\"] \n  41 -> 43 [size =\"13023232\"]\n  42 [size=\"39911424\", alpha=\"0.12\", expect_size=\"19955712\"] \n  42 -> 45 [size =\"19955712\"]\n  43 [size=\"104177664\", alpha=\"0.02\", expect_size=\"52088832\"] \n  43 -> 44 [size =\"52088832\"]\n  44 [size=\"44523520\", alpha=\"0.00\", expect_size=\"22261760\"] \n  45 [size=\"61806592\", alpha=\"0.18\", expect_size=\"30903296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44871680\", alpha=\"0.00\", expect_size=\"22435840\"] \n  1 -> 34 [size =\"22435840\"]\n  1 -> 36 [size =\"22435840\"]\n  1 -> 39 [size =\"22435840\"]\n  1 -> 40 [size =\"22435840\"]\n  1 -> 41 [size =\"22435840\"]\n  2 [size=\"14356480\", alpha=\"0.09\", expect_size=\"7178240\"] \n  2 -> 36 [size =\"7178240\"]\n  2 -> 39 [size =\"7178240\"]\n  2 -> 39 [size =\"7178240\"]\n  2 -> 41 [size =\"7178240\"]\n  2 -> 41 [size =\"7178240\"]\n  2 -> 44 [size =\"7178240\"]\n  3 [size=\"100993024\", alpha=\"0.06\", expect_size=\"50496512\"] \n  3 -> 36 [size =\"50496512\"]\n  3 -> 40 [size =\"50496512\"]\n  3 -> 41 [size =\"50496512\"]\n  3 -> 43 [size =\"50496512\"]\n  3 -> 45 [size =\"50496512\"]\n  4 [size=\"69066752\", alpha=\"0.09\", expect_size=\"34533376\"] \n  4 -> 32 [size =\"34533376\"]\n  4 -> 35 [size =\"34533376\"]\n  4 -> 38 [size =\"34533376\"]\n  4 -> 39 [size =\"34533376\"]\n  4 -> 44 [size =\"34533376\"]\n  5 [size=\"26744832\", alpha=\"0.19\", expect_size=\"13372416\"] \n  5 -> 39 [size =\"13372416\"]\n  5 -> 40 [size =\"13372416\"]\n  5 -> 45 [size =\"13372416\"]\n  6 [size=\"56424448\", alpha=\"0.11\", expect_size=\"28212224\"] \n  6 -> 35 [size =\"28212224\"]\n  6 -> 36 [size =\"28212224\"]\n  6 -> 38 [size =\"28212224\"]\n  6 -> 40 [size =\"28212224\"]\n  6 -> 41 [size =\"28212224\"]\n  6 -> 43 [size =\"28212224\"]\n  6 -> 44 [size =\"28212224\"]\n  6 -> 45 [size =\"28212224\"]\n  7 [size=\"51255296\", alpha=\"0.09\", expect_size=\"25627648\"] \n  7 -> 35 [size =\"25627648\"]\n  7 -> 36 [size =\"25627648\"]\n  7 -> 37 [size =\"25627648\"]\n  7 -> 40 [size =\"25627648\"]\n  7 -> 43 [size =\"25627648\"]\n  7 -> 44 [size =\"25627648\"]\n  7 -> 45 [size =\"25627648\"]\n  8 [size=\"82526208\", alpha=\"0.01\", expect_size=\"41263104\"] \n  8 -> 36 [size =\"41263104\"]\n  8 -> 38 [size =\"41263104\"]\n  8 -> 39 [size =\"41263104\"]\n  8 -> 40 [size =\"41263104\"]\n  8 -> 41 [size =\"41263104\"]\n  8 -> 42 [size =\"41263104\"]\n  8 -> 45 [size =\"41263104\"]\n  9 [size=\"48420864\", alpha=\"0.19\", expect_size=\"24210432\"] \n  9 -> 35 [size =\"24210432\"]\n  9 -> 36 [size =\"24210432\"]\n  9 -> 38 [size =\"24210432\"]\n  9 -> 39 [size =\"24210432\"]\n  9 -> 40 [size =\"24210432\"]\n  9 -> 44 [size =\"24210432\"]\n  9 -> 45 [size =\"24210432\"]\n  10 [size=\"46020608\", alpha=\"0.16\", expect_size=\"23010304\"] \n  10 -> 36 [size =\"23010304\"]\n  10 -> 40 [size =\"23010304\"]\n  10 -> 41 [size =\"23010304\"]\n  10 -> 42 [size =\"23010304\"]\n  10 -> 44 [size =\"23010304\"]\n  10 -> 45 [size =\"23010304\"]\n  11 [size=\"25143296\", alpha=\"0.13\", expect_size=\"12571648\"] \n  11 -> 32 [size =\"12571648\"]\n  11 -> 36 [size =\"12571648\"]\n  11 -> 37 [size =\"12571648\"]\n  11 -> 40 [size =\"12571648\"]\n  11 -> 43 [size =\"12571648\"]\n  11 -> 44 [size =\"12571648\"]\n  11 -> 45 [size =\"12571648\"]\n  12 [size=\"25280512\", alpha=\"0.14\", expect_size=\"12640256\"] \n  12 -> 32 [size =\"12640256\"]\n  12 -> 33 [size =\"12640256\"]\n  12 -> 34 [size =\"12640256\"]\n  12 -> 35 [size =\"12640256\"]\n  12 -> 36 [size =\"12640256\"]\n  12 -> 43 [size =\"12640256\"]\n  12 -> 44 [size =\"12640256\"]\n  13 [size=\"69472256\", alpha=\"0.13\", expect_size=\"34736128\"] \n  13 -> 34 [size =\"34736128\"]\n  13 -> 35 [size =\"34736128\"]\n  13 -> 36 [size =\"34736128\"]\n  13 -> 38 [size =\"34736128\"]\n  13 -> 43 [size =\"34736128\"]\n  13 -> 43 [size =\"34736128\"]\n  13 -> 44 [size =\"34736128\"]\n  14 [size=\"96432128\", alpha=\"0.08\", expect_size=\"48216064\"] \n  14 -> 32 [size =\"48216064\"]\n  14 -> 35 [size =\"48216064\"]\n  14 -> 36 [size =\"48216064\"]\n  14 -> 37 [size =\"48216064\"]\n  14 -> 38 [size =\"48216064\"]\n  14 -> 40 [size =\"48216064\"]\n  14 -> 44 [size =\"48216064\"]\n  15 [size=\"44904448\", alpha=\"0.08\", expect_size=\"22452224\"] \n  15 -> 32 [size =\"22452224\"]\n  15 -> 35 [size =\"22452224\"]\n  15 -> 36 [size =\"22452224\"]\n  15 -> 37 [size =\"22452224\"]\n  15 -> 38 [size =\"22452224\"]\n  15 -> 41 [size =\"22452224\"]\n  15 -> 43 [size =\"22452224\"]\n  15 -> 44 [size =\"22452224\"]\n  16 [size=\"41539584\", alpha=\"0.01\", expect_size=\"20769792\"] \n  16 -> 38 [size =\"20769792\"]\n  16 -> 43 [size =\"20769792\"]\n  16 -> 44 [size =\"20769792\"]\n  16 -> 45 [size =\"20769792\"]\n  17 [size=\"95293440\", alpha=\"0.19\", expect_size=\"47646720\"] \n  17 -> 34 [size =\"47646720\"]\n  17 -> 36 [size =\"47646720\"]\n  17 -> 40 [size =\"47646720\"]\n  17 -> 44 [size =\"47646720\"]\n  18 [size=\"44335104\", alpha=\"0.06\", expect_size=\"22167552\"] \n  18 -> 33 [size =\"22167552\"]\n  18 -> 35 [size =\"22167552\"]\n  18 -> 38 [size =\"22167552\"]\n  18 -> 39 [size =\"22167552\"]\n  18 -> 40 [size =\"22167552\"]\n  18 -> 41 [size =\"22167552\"]\n  18 -> 45 [size =\"22167552\"]\n  19 [size=\"47366144\", alpha=\"0.05\", expect_size=\"23683072\"] \n  19 -> 36 [size =\"23683072\"]\n  19 -> 42 [size =\"23683072\"]\n  19 -> 43 [size =\"23683072\"]\n  19 -> 44 [size =\"23683072\"]\n  20 [size=\"44036096\", alpha=\"0.04\", expect_size=\"22018048\"] \n  20 -> 32 [size =\"22018048\"]\n  20 -> 36 [size =\"22018048\"]\n  20 -> 38 [size =\"22018048\"]\n  20 -> 40 [size =\"22018048\"]\n  20 -> 43 [size =\"22018048\"]\n  20 -> 44 [size =\"22018048\"]\n  20 -> 45 [size =\"22018048\"]\n  21 [size=\"24023040\", alpha=\"0.11\", expect_size=\"12011520\"] \n  21 -> 34 [size =\"12011520\"]\n  21 -> 35 [size =\"12011520\"]\n  21 -> 36 [size =\"12011520\"]\n  21 -> 38 [size =\"12011520\"]\n  21 -> 44 [size =\"12011520\"]\n  22 [size=\"84807680\", alpha=\"0.18\", expect_size=\"42403840\"] \n  22 -> 33 [size =\"42403840\"]\n  22 -> 34 [size =\"42403840\"]\n  22 -> 36 [size =\"42403840\"]\n  22 -> 38 [size =\"42403840\"]\n  22 -> 39 [size =\"42403840\"]\n  22 -> 40 [size =\"42403840\"]\n  22 -> 43 [size =\"42403840\"]\n  22 -> 44 [size =\"42403840\"]\n  22 -> 45 [size =\"42403840\"]\n  23 [size=\"55728128\", alpha=\"0.04\", expect_size=\"27864064\"] \n  23 -> 33 [size =\"27864064\"]\n  23 -> 35 [size =\"27864064\"]\n  23 -> 36 [size =\"27864064\"]\n  23 -> 40 [size =\"27864064\"]\n  23 -> 41 [size =\"27864064\"]\n  24 [size=\"23906304\", alpha=\"0.03\", expect_size=\"11953152\"] \n  24 -> 33 [size =\"11953152\"]\n  24 -> 36 [size =\"11953152\"]\n  24 -> 38 [size =\"11953152\"]\n  24 -> 39 [size =\"11953152\"]\n  24 -> 40 [size =\"11953152\"]\n  24 -> 41 [size =\"11953152\"]\n  24 -> 44 [size =\"11953152\"]\n  25 [size=\"59701248\", alpha=\"0.05\", expect_size=\"29850624\"] \n  25 -> 33 [size =\"29850624\"]\n  25 -> 36 [size =\"29850624\"]\n  25 -> 38 [size =\"29850624\"]\n  25 -> 40 [size =\"29850624\"]\n  25 -> 40 [size =\"29850624\"]\n  25 -> 44 [size =\"29850624\"]\n  25 -> 44 [size =\"29850624\"]\n  26 [size=\"96155648\", alpha=\"0.17\", expect_size=\"48077824\"] \n  26 -> 32 [size =\"48077824\"]\n  26 -> 33 [size =\"48077824\"]\n  26 -> 36 [size =\"48077824\"]\n  26 -> 37 [size =\"48077824\"]\n  26 -> 40 [size =\"48077824\"]\n  26 -> 41 [size =\"48077824\"]\n  26 -> 43 [size =\"48077824\"]\n  26 -> 44 [size =\"48077824\"]\n  26 -> 45 [size =\"48077824\"]\n  27 [size=\"102434816\", alpha=\"0.18\", expect_size=\"51217408\"] \n  27 -> 36 [size =\"51217408\"]\n  27 -> 37 [size =\"51217408\"]\n  27 -> 39 [size =\"51217408\"]\n  27 -> 40 [size =\"51217408\"]\n  27 -> 41 [size =\"51217408\"]\n  27 -> 42 [size =\"51217408\"]\n  27 -> 43 [size =\"51217408\"]\n  27 -> 44 [size =\"51217408\"]\n  27 -> 45 [size =\"51217408\"]\n  28 [size=\"98041856\", alpha=\"0.14\", expect_size=\"49020928\"] \n  28 -> 34 [size =\"49020928\"]\n  28 -> 37 [size =\"49020928\"]\n  28 -> 38 [size =\"49020928\"]\n  28 -> 40 [size =\"49020928\"]\n  28 -> 41 [size =\"49020928\"]\n  28 -> 45 [size =\"49020928\"]\n  29 [size=\"31950848\", alpha=\"0.18\", expect_size=\"15975424\"] \n  29 -> 32 [size =\"15975424\"]\n  29 -> 34 [size =\"15975424\"]\n  29 -> 36 [size =\"15975424\"]\n  29 -> 37 [size =\"15975424\"]\n  29 -> 40 [size =\"15975424\"]\n  29 -> 41 [size =\"15975424\"]\n  29 -> 43 [size =\"15975424\"]\n  29 -> 44 [size =\"15975424\"]\n  29 -> 45 [size =\"15975424\"]\n  30 [size=\"55621632\", alpha=\"0.10\", expect_size=\"27810816\"] \n  30 -> 33 [size =\"27810816\"]\n  30 -> 34 [size =\"27810816\"]\n  30 -> 35 [size =\"27810816\"]\n  30 -> 36 [size =\"27810816\"]\n  30 -> 38 [size =\"27810816\"]\n  30 -> 41 [size =\"27810816\"]\n  30 -> 43 [size =\"27810816\"]\n  30 -> 44 [size =\"27810816\"]\n  30 -> 45 [size =\"27810816\"]\n  31 [size=\"75268096\", alpha=\"0.04\", expect_size=\"37634048\"] \n  31 -> 34 [size =\"37634048\"]\n  31 -> 35 [size =\"37634048\"]\n  31 -> 36 [size =\"37634048\"]\n  31 -> 36 [size =\"37634048\"]\n  31 -> 39 [size =\"37634048\"]\n  31 -> 40 [size =\"37634048\"]\n  31 -> 41 [size =\"37634048\"]\n  32 [size=\"30908416\", alpha=\"0.02\", expect_size=\"15454208\"] \n  33 [size=\"20781056\", alpha=\"0.12\", expect_size=\"10390528\"] \n  34 [size=\"41027584\", alpha=\"0.01\", expect_size=\"20513792\"] \n  35 [size=\"55853056\", alpha=\"0.16\", expect_size=\"27926528\"] \n  36 [size=\"81520640\", alpha=\"0.19\", expect_size=\"40760320\"] \n  37 [size=\"69595136\", alpha=\"0.19\", expect_size=\"34797568\"] \n  38 [size=\"60848128\", alpha=\"0.07\", expect_size=\"30424064\"] \n  39 [size=\"32950272\", alpha=\"0.02\", expect_size=\"16475136\"] \n  40 [size=\"23836672\", alpha=\"0.04\", expect_size=\"11918336\"] \n  41 [size=\"69042176\", alpha=\"0.10\", expect_size=\"34521088\"] \n  42 [size=\"88852480\", alpha=\"0.11\", expect_size=\"44426240\"] \n  43 [size=\"98068480\", alpha=\"0.01\", expect_size=\"49034240\"] \n  44 [size=\"61300736\", alpha=\"0.15\", expect_size=\"30650368\"] \n  45 [size=\"64499712\", alpha=\"0.19\", expect_size=\"32249856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26722987\", alpha=\"0.13\", expect_size=\"8016896\"] \n  1 -> 11 [size =\"8016896\"]\n  1 -> 12 [size =\"8016896\"]\n  2 [size=\"65532587\", alpha=\"0.10\", expect_size=\"19659776\"] \n  2 -> 8 [size =\"19659776\"]\n  2 -> 12 [size =\"19659776\"]\n  3 [size=\"105410560\", alpha=\"0.19\", expect_size=\"31623168\"] \n  3 -> 7 [size =\"31623168\"]\n  3 -> 10 [size =\"31623168\"]\n  4 [size=\"148012373\", alpha=\"0.01\", expect_size=\"44403712\"] \n  4 -> 9 [size =\"44403712\"]\n  4 -> 12 [size =\"44403712\"]\n  5 [size=\"158522027\", alpha=\"0.00\", expect_size=\"47556608\"] \n  5 -> 7 [size =\"47556608\"]\n  6 [size=\"154398720\", alpha=\"0.06\", expect_size=\"46319616\"] \n  6 -> 7 [size =\"46319616\"]\n  6 -> 12 [size =\"46319616\"]\n  7 [size=\"174342827\", alpha=\"0.17\", expect_size=\"52302848\"] \n  7 -> 13 [size =\"52302848\"]\n  7 -> 14 [size =\"52302848\"]\n  7 -> 15 [size =\"52302848\"]\n  7 -> 16 [size =\"52302848\"]\n  7 -> 18 [size =\"52302848\"]\n  7 -> 20 [size =\"52302848\"]\n  8 [size=\"42407253\", alpha=\"0.14\", expect_size=\"12722176\"] \n  8 -> 15 [size =\"12722176\"]\n  8 -> 16 [size =\"12722176\"]\n  8 -> 17 [size =\"12722176\"]\n  8 -> 18 [size =\"12722176\"]\n  8 -> 19 [size =\"12722176\"]\n  9 [size=\"127740587\", alpha=\"0.13\", expect_size=\"38322176\"] \n  9 -> 13 [size =\"38322176\"]\n  9 -> 15 [size =\"38322176\"]\n  9 -> 16 [size =\"38322176\"]\n  9 -> 18 [size =\"38322176\"]\n  10 [size=\"127658667\", alpha=\"0.13\", expect_size=\"38297600\"] \n  10 -> 14 [size =\"38297600\"]\n  10 -> 17 [size =\"38297600\"]\n  11 [size=\"170670080\", alpha=\"0.04\", expect_size=\"51201024\"] \n  11 -> 14 [size =\"51201024\"]\n  12 [size=\"114773333\", alpha=\"0.03\", expect_size=\"34432000\"] \n  12 -> 14 [size =\"34432000\"]\n  12 -> 16 [size =\"34432000\"]\n  12 -> 17 [size =\"34432000\"]\n  12 -> 18 [size =\"34432000\"]\n  12 -> 19 [size =\"34432000\"]\n  13 [size=\"39932587\", alpha=\"0.06\", expect_size=\"11979776\"] \n  13 -> 22 [size =\"11979776\"]\n  13 -> 23 [size =\"11979776\"]\n  13 -> 24 [size =\"11979776\"]\n  14 [size=\"29245440\", alpha=\"0.07\", expect_size=\"8773632\"] \n  14 -> 22 [size =\"8773632\"]\n  14 -> 23 [size =\"8773632\"]\n  14 -> 25 [size =\"8773632\"]\n  15 [size=\"40796160\", alpha=\"0.18\", expect_size=\"12238848\"] \n  15 -> 22 [size =\"12238848\"]\n  15 -> 24 [size =\"12238848\"]\n  16 [size=\"41270613\", alpha=\"0.08\", expect_size=\"12381184\"] \n  16 -> 23 [size =\"12381184\"]\n  16 -> 24 [size =\"12381184\"]\n  16 -> 25 [size =\"12381184\"]\n  17 [size=\"90658133\", alpha=\"0.05\", expect_size=\"27197440\"] \n  17 -> 23 [size =\"27197440\"]\n  17 -> 25 [size =\"27197440\"]\n  17 -> 26 [size =\"27197440\"]\n  17 -> 28 [size =\"27197440\"]\n  18 [size=\"67317760\", alpha=\"0.15\", expect_size=\"20195328\"] \n  18 -> 22 [size =\"20195328\"]\n  18 -> 24 [size =\"20195328\"]\n  18 -> 26 [size =\"20195328\"]\n  19 [size=\"20090880\", alpha=\"0.17\", expect_size=\"6027264\"] \n  19 -> 23 [size =\"6027264\"]\n  19 -> 24 [size =\"6027264\"]\n  19 -> 27 [size =\"6027264\"]\n  20 [size=\"125487787\", alpha=\"0.07\", expect_size=\"37646336\"] \n  20 -> 21 [size =\"37646336\"]\n  20 -> 25 [size =\"37646336\"]\n  20 -> 27 [size =\"37646336\"]\n  21 [size=\"70963200\", alpha=\"0.17\", expect_size=\"21288960\"] \n  21 -> 29 [size =\"21288960\"]\n  21 -> 30 [size =\"21288960\"]\n  21 -> 33 [size =\"21288960\"]\n  22 [size=\"106171733\", alpha=\"0.14\", expect_size=\"31851520\"] \n  22 -> 29 [size =\"31851520\"]\n  22 -> 33 [size =\"31851520\"]\n  23 [size=\"132696747\", alpha=\"0.02\", expect_size=\"39809024\"] \n  23 -> 31 [size =\"39809024\"]\n  23 -> 32 [size =\"39809024\"]\n  24 [size=\"26402133\", alpha=\"0.07\", expect_size=\"7920640\"] \n  24 -> 31 [size =\"7920640\"]\n  25 [size=\"79769600\", alpha=\"0.09\", expect_size=\"23930880\"] \n  25 -> 29 [size =\"23930880\"]\n  25 -> 31 [size =\"23930880\"]\n  26 [size=\"66488320\", alpha=\"0.09\", expect_size=\"19946496\"] \n  26 -> 29 [size =\"19946496\"]\n  26 -> 30 [size =\"19946496\"]\n  26 -> 31 [size =\"19946496\"]\n  26 -> 33 [size =\"19946496\"]\n  27 [size=\"132614827\", alpha=\"0.09\", expect_size=\"39784448\"] \n  27 -> 29 [size =\"39784448\"]\n  27 -> 32 [size =\"39784448\"]\n  27 -> 33 [size =\"39784448\"]\n  28 [size=\"170513067\", alpha=\"0.12\", expect_size=\"51153920\"] \n  28 -> 30 [size =\"51153920\"]\n  28 -> 31 [size =\"51153920\"]\n  29 [size=\"130249387\", alpha=\"0.09\", expect_size=\"39074816\"] \n  29 -> 34 [size =\"39074816\"]\n  29 -> 35 [size =\"39074816\"]\n  29 -> 38 [size =\"39074816\"]\n  29 -> 39 [size =\"39074816\"]\n  29 -> 41 [size =\"39074816\"]\n  30 [size=\"106963627\", alpha=\"0.01\", expect_size=\"32089088\"] \n  30 -> 40 [size =\"32089088\"]\n  30 -> 41 [size =\"32089088\"]\n  31 [size=\"158801920\", alpha=\"0.11\", expect_size=\"47640576\"] \n  31 -> 34 [size =\"47640576\"]\n  31 -> 35 [size =\"47640576\"]\n  31 -> 37 [size =\"47640576\"]\n  31 -> 38 [size =\"47640576\"]\n  31 -> 40 [size =\"47640576\"]\n  32 [size=\"137721173\", alpha=\"0.14\", expect_size=\"41316352\"] \n  32 -> 34 [size =\"41316352\"]\n  32 -> 37 [size =\"41316352\"]\n  32 -> 38 [size =\"41316352\"]\n  32 -> 39 [size =\"41316352\"]\n  33 [size=\"91784533\", alpha=\"0.20\", expect_size=\"27535360\"] \n  33 -> 35 [size =\"27535360\"]\n  33 -> 36 [size =\"27535360\"]\n  33 -> 37 [size =\"27535360\"]\n  33 -> 39 [size =\"27535360\"]\n  33 -> 41 [size =\"27535360\"]\n  34 [size=\"108926293\", alpha=\"0.07\", expect_size=\"32677888\"] \n  34 -> 44 [size =\"32677888\"]\n  35 [size=\"162396160\", alpha=\"0.18\", expect_size=\"48718848\"] \n  35 -> 42 [size =\"48718848\"]\n  36 [size=\"78670507\", alpha=\"0.11\", expect_size=\"23601152\"] \n  36 -> 44 [size =\"23601152\"]\n  36 -> 45 [size =\"23601152\"]\n  37 [size=\"151954773\", alpha=\"0.13\", expect_size=\"45586432\"] \n  37 -> 42 [size =\"45586432\"]\n  37 -> 45 [size =\"45586432\"]\n  38 [size=\"67266560\", alpha=\"0.02\", expect_size=\"20179968\"] \n  38 -> 43 [size =\"20179968\"]\n  38 -> 45 [size =\"20179968\"]\n  39 [size=\"164106240\", alpha=\"0.12\", expect_size=\"49231872\"] \n  39 -> 44 [size =\"49231872\"]\n  40 [size=\"80882347\", alpha=\"0.15\", expect_size=\"24264704\"] \n  40 -> 43 [size =\"24264704\"]\n  40 -> 44 [size =\"24264704\"]\n  41 [size=\"85063680\", alpha=\"0.05\", expect_size=\"25519104\"] \n  41 -> 44 [size =\"25519104\"]\n  42 [size=\"172564480\", alpha=\"0.06\", expect_size=\"51769344\"] \n  43 [size=\"126105600\", alpha=\"0.01\", expect_size=\"37831680\"] \n  44 [size=\"125433173\", alpha=\"0.18\", expect_size=\"37629952\"] \n  45 [size=\"25029973\", alpha=\"0.03\", expect_size=\"7508992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44615680\", alpha=\"0.16\", expect_size=\"13384704\"] \n  1 -> 5 [size =\"13384704\"]\n  1 -> 8 [size =\"13384704\"]\n  1 -> 11 [size =\"13384704\"]\n  2 [size=\"58088107\", alpha=\"0.13\", expect_size=\"17426432\"] \n  2 -> 5 [size =\"17426432\"]\n  2 -> 6 [size =\"17426432\"]\n  2 -> 8 [size =\"17426432\"]\n  2 -> 11 [size =\"17426432\"]\n  2 -> 12 [size =\"17426432\"]\n  3 [size=\"37386240\", alpha=\"0.14\", expect_size=\"11215872\"] \n  3 -> 7 [size =\"11215872\"]\n  3 -> 9 [size =\"11215872\"]\n  3 -> 11 [size =\"11215872\"]\n  4 [size=\"22097920\", alpha=\"0.04\", expect_size=\"6629376\"] \n  4 -> 7 [size =\"6629376\"]\n  4 -> 10 [size =\"6629376\"]\n  4 -> 12 [size =\"6629376\"]\n  5 [size=\"128235520\", alpha=\"0.15\", expect_size=\"38470656\"] \n  5 -> 13 [size =\"38470656\"]\n  6 [size=\"53220693\", alpha=\"0.09\", expect_size=\"15966208\"] \n  6 -> 14 [size =\"15966208\"]\n  6 -> 15 [size =\"15966208\"]\n  6 -> 18 [size =\"15966208\"]\n  7 [size=\"130170880\", alpha=\"0.06\", expect_size=\"39051264\"] \n  7 -> 14 [size =\"39051264\"]\n  7 -> 15 [size =\"39051264\"]\n  7 -> 17 [size =\"39051264\"]\n  7 -> 18 [size =\"39051264\"]\n  8 [size=\"112271360\", alpha=\"0.11\", expect_size=\"33681408\"] \n  8 -> 14 [size =\"33681408\"]\n  8 -> 15 [size =\"33681408\"]\n  8 -> 16 [size =\"33681408\"]\n  9 [size=\"100563627\", alpha=\"0.04\", expect_size=\"30169088\"] \n  9 -> 14 [size =\"30169088\"]\n  9 -> 16 [size =\"30169088\"]\n  10 [size=\"136901973\", alpha=\"0.14\", expect_size=\"41070592\"] \n  10 -> 13 [size =\"41070592\"]\n  10 -> 17 [size =\"41070592\"]\n  11 [size=\"80384000\", alpha=\"0.20\", expect_size=\"24115200\"] \n  11 -> 15 [size =\"24115200\"]\n  12 [size=\"51203413\", alpha=\"0.06\", expect_size=\"15361024\"] \n  12 -> 13 [size =\"15361024\"]\n  12 -> 15 [size =\"15361024\"]\n  13 [size=\"153504427\", alpha=\"0.03\", expect_size=\"46051328\"] \n  13 -> 23 [size =\"46051328\"]\n  14 [size=\"102891520\", alpha=\"0.11\", expect_size=\"30867456\"] \n  14 -> 21 [size =\"30867456\"]\n  14 -> 22 [size =\"30867456\"]\n  14 -> 24 [size =\"30867456\"]\n  15 [size=\"134696960\", alpha=\"0.13\", expect_size=\"40409088\"] \n  15 -> 19 [size =\"40409088\"]\n  15 -> 20 [size =\"40409088\"]\n  15 -> 21 [size =\"40409088\"]\n  15 -> 24 [size =\"40409088\"]\n  16 [size=\"96000000\", alpha=\"0.18\", expect_size=\"28800000\"] \n  16 -> 19 [size =\"28800000\"]\n  16 -> 24 [size =\"28800000\"]\n  17 [size=\"163461120\", alpha=\"0.02\", expect_size=\"49038336\"] \n  17 -> 19 [size =\"49038336\"]\n  17 -> 21 [size =\"49038336\"]\n  18 [size=\"55040000\", alpha=\"0.00\", expect_size=\"16512000\"] \n  18 -> 19 [size =\"16512000\"]\n  18 -> 23 [size =\"16512000\"]\n  19 [size=\"143568213\", alpha=\"0.09\", expect_size=\"43070464\"] \n  20 [size=\"174086827\", alpha=\"0.17\", expect_size=\"52226048\"] \n  21 [size=\"123654827\", alpha=\"0.08\", expect_size=\"37096448\"] \n  21 -> 26 [size =\"37096448\"]\n  22 [size=\"120695467\", alpha=\"0.04\", expect_size=\"36208640\"] \n  22 -> 27 [size =\"36208640\"]\n  22 -> 28 [size =\"36208640\"]\n  23 [size=\"166874453\", alpha=\"0.03\", expect_size=\"50062336\"] \n  23 -> 27 [size =\"50062336\"]\n  24 [size=\"29702827\", alpha=\"0.02\", expect_size=\"8910848\"] \n  24 -> 25 [size =\"8910848\"]\n  24 -> 27 [size =\"8910848\"]\n  24 -> 28 [size =\"8910848\"]\n  25 [size=\"118995627\", alpha=\"0.16\", expect_size=\"35698688\"] \n  25 -> 29 [size =\"35698688\"]\n  25 -> 32 [size =\"35698688\"]\n  25 -> 34 [size =\"35698688\"]\n  26 [size=\"64832853\", alpha=\"0.14\", expect_size=\"19449856\"] \n  26 -> 30 [size =\"19449856\"]\n  26 -> 32 [size =\"19449856\"]\n  26 -> 35 [size =\"19449856\"]\n  27 [size=\"49288533\", alpha=\"0.06\", expect_size=\"14786560\"] \n  27 -> 29 [size =\"14786560\"]\n  27 -> 30 [size =\"14786560\"]\n  27 -> 33 [size =\"14786560\"]\n  27 -> 36 [size =\"14786560\"]\n  28 [size=\"66802347\", alpha=\"0.10\", expect_size=\"20040704\"] \n  28 -> 31 [size =\"20040704\"]\n  28 -> 35 [size =\"20040704\"]\n  29 [size=\"67597653\", alpha=\"0.05\", expect_size=\"20279296\"] \n  29 -> 37 [size =\"20279296\"]\n  29 -> 38 [size =\"20279296\"]\n  29 -> 39 [size =\"20279296\"]\n  30 [size=\"141185707\", alpha=\"0.15\", expect_size=\"42355712\"] \n  30 -> 37 [size =\"42355712\"]\n  30 -> 38 [size =\"42355712\"]\n  30 -> 41 [size =\"42355712\"]\n  31 [size=\"117265067\", alpha=\"0.13\", expect_size=\"35179520\"] \n  31 -> 37 [size =\"35179520\"]\n  31 -> 38 [size =\"35179520\"]\n  31 -> 41 [size =\"35179520\"]\n  32 [size=\"22978560\", alpha=\"0.16\", expect_size=\"6893568\"] \n  33 [size=\"56221013\", alpha=\"0.16\", expect_size=\"16866304\"] \n  33 -> 39 [size =\"16866304\"]\n  33 -> 40 [size =\"16866304\"]\n  33 -> 41 [size =\"16866304\"]\n  34 [size=\"79622827\", alpha=\"0.06\", expect_size=\"23886848\"] \n  34 -> 41 [size =\"23886848\"]\n  35 [size=\"97805653\", alpha=\"0.12\", expect_size=\"29341696\"] \n  35 -> 38 [size =\"29341696\"]\n  35 -> 39 [size =\"29341696\"]\n  35 -> 41 [size =\"29341696\"]\n  36 [size=\"64242347\", alpha=\"0.07\", expect_size=\"19272704\"] \n  36 -> 39 [size =\"19272704\"]\n  37 [size=\"171963733\", alpha=\"0.01\", expect_size=\"51589120\"] \n  37 -> 43 [size =\"51589120\"]\n  38 [size=\"61812053\", alpha=\"0.20\", expect_size=\"18543616\"] \n  38 -> 44 [size =\"18543616\"]\n  38 -> 45 [size =\"18543616\"]\n  39 [size=\"143151787\", alpha=\"0.15\", expect_size=\"42945536\"] \n  39 -> 44 [size =\"42945536\"]\n  40 [size=\"27214507\", alpha=\"0.09\", expect_size=\"8164352\"] \n  40 -> 42 [size =\"8164352\"]\n  40 -> 43 [size =\"8164352\"]\n  40 -> 45 [size =\"8164352\"]\n  41 [size=\"148002133\", alpha=\"0.18\", expect_size=\"44400640\"] \n  41 -> 44 [size =\"44400640\"]\n  42 [size=\"96563200\", alpha=\"0.19\", expect_size=\"28968960\"] \n  43 [size=\"63914667\", alpha=\"0.19\", expect_size=\"19174400\"] \n  44 [size=\"28798293\", alpha=\"0.01\", expect_size=\"8639488\"] \n  45 [size=\"76636160\", alpha=\"0.16\", expect_size=\"22990848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33861120\", alpha=\"0.20\", expect_size=\"13544448\"] \n  1 -> 2 [size =\"13544448\"]\n  2 [size=\"41615360\", alpha=\"0.11\", expect_size=\"16646144\"] \n  2 -> 3 [size =\"16646144\"]\n  3 [size=\"83886080\", alpha=\"0.14\", expect_size=\"33554432\"] \n  3 -> 4 [size =\"33554432\"]\n  4 [size=\"22650880\", alpha=\"0.12\", expect_size=\"9060352\"] \n  4 -> 5 [size =\"9060352\"]\n  5 [size=\"99310080\", alpha=\"0.02\", expect_size=\"39724032\"] \n  5 -> 6 [size =\"39724032\"]\n  6 [size=\"128463360\", alpha=\"0.12\", expect_size=\"51385344\"] \n  6 -> 7 [size =\"51385344\"]\n  7 [size=\"128747520\", alpha=\"0.08\", expect_size=\"51499008\"] \n  7 -> 8 [size =\"51499008\"]\n  8 [size=\"23267840\", alpha=\"0.17\", expect_size=\"9307136\"] \n  8 -> 9 [size =\"9307136\"]\n  9 [size=\"63590400\", alpha=\"0.06\", expect_size=\"25436160\"] \n  9 -> 10 [size =\"25436160\"]\n  10 [size=\"85017600\", alpha=\"0.18\", expect_size=\"34007040\"] \n  10 -> 11 [size =\"34007040\"]\n  11 [size=\"19348480\", alpha=\"0.04\", expect_size=\"7739392\"] \n  11 -> 12 [size =\"7739392\"]\n  12 [size=\"18652160\", alpha=\"0.08\", expect_size=\"7460864\"] \n  12 -> 13 [size =\"7460864\"]\n  13 [size=\"81326080\", alpha=\"0.15\", expect_size=\"32530432\"] \n  13 -> 14 [size =\"32530432\"]\n  14 [size=\"46466560\", alpha=\"0.07\", expect_size=\"18586624\"] \n  14 -> 15 [size =\"18586624\"]\n  15 [size=\"118225920\", alpha=\"0.12\", expect_size=\"47290368\"] \n  15 -> 16 [size =\"47290368\"]\n  16 [size=\"14837760\", alpha=\"0.19\", expect_size=\"5935104\"] \n  16 -> 17 [size =\"5935104\"]\n  17 [size=\"86968320\", alpha=\"0.13\", expect_size=\"34787328\"] \n  17 -> 18 [size =\"34787328\"]\n  18 [size=\"13253120\", alpha=\"0.20\", expect_size=\"5301248\"] \n  18 -> 19 [size =\"5301248\"]\n  19 [size=\"113664000\", alpha=\"0.07\", expect_size=\"45465600\"] \n  19 -> 20 [size =\"45465600\"]\n  20 [size=\"31610880\", alpha=\"0.05\", expect_size=\"12644352\"] \n  20 -> 21 [size =\"12644352\"]\n  21 [size=\"17423360\", alpha=\"0.06\", expect_size=\"6969344\"] \n  21 -> 22 [size =\"6969344\"]\n  22 [size=\"42995200\", alpha=\"0.12\", expect_size=\"17198080\"] \n  22 -> 23 [size =\"17198080\"]\n  23 [size=\"88972800\", alpha=\"0.11\", expect_size=\"35589120\"] \n  23 -> 24 [size =\"35589120\"]\n  24 [size=\"61900800\", alpha=\"0.11\", expect_size=\"24760320\"] \n  24 -> 25 [size =\"24760320\"]\n  25 [size=\"105474560\", alpha=\"0.05\", expect_size=\"42189824\"] \n  25 -> 26 [size =\"42189824\"]\n  26 [size=\"56529920\", alpha=\"0.19\", expect_size=\"22611968\"] \n  26 -> 27 [size =\"22611968\"]\n  27 [size=\"50032640\", alpha=\"0.13\", expect_size=\"20013056\"] \n  27 -> 28 [size =\"20013056\"]\n  28 [size=\"123932160\", alpha=\"0.08\", expect_size=\"49572864\"] \n  28 -> 29 [size =\"49572864\"]\n  29 [size=\"123018240\", alpha=\"0.12\", expect_size=\"49207296\"] \n  29 -> 30 [size =\"49207296\"]\n  30 [size=\"44024320\", alpha=\"0.09\", expect_size=\"17609728\"] \n  30 -> 31 [size =\"17609728\"]\n  31 [size=\"70940160\", alpha=\"0.06\", expect_size=\"28376064\"] \n  31 -> 32 [size =\"28376064\"]\n  32 [size=\"106554880\", alpha=\"0.04\", expect_size=\"42621952\"] \n  32 -> 33 [size =\"42621952\"]\n  33 [size=\"61409280\", alpha=\"0.14\", expect_size=\"24563712\"] \n  33 -> 34 [size =\"24563712\"]\n  34 [size=\"124252160\", alpha=\"0.09\", expect_size=\"49700864\"] \n  34 -> 35 [size =\"49700864\"]\n  35 [size=\"68697600\", alpha=\"0.02\", expect_size=\"27479040\"] \n  35 -> 36 [size =\"27479040\"]\n  36 [size=\"98910720\", alpha=\"0.16\", expect_size=\"39564288\"] \n  36 -> 37 [size =\"39564288\"]\n  37 [size=\"94325760\", alpha=\"0.02\", expect_size=\"37730304\"] \n  37 -> 38 [size =\"37730304\"]\n  38 [size=\"52615680\", alpha=\"0.08\", expect_size=\"21046272\"] \n  38 -> 39 [size =\"21046272\"]\n  39 [size=\"101911040\", alpha=\"0.11\", expect_size=\"40764416\"] \n  39 -> 40 [size =\"40764416\"]\n  40 [size=\"56765440\", alpha=\"0.17\", expect_size=\"22706176\"] \n  40 -> 41 [size =\"22706176\"]\n  41 [size=\"107054080\", alpha=\"0.04\", expect_size=\"42821632\"] \n  41 -> 42 [size =\"42821632\"]\n  42 [size=\"23093760\", alpha=\"0.16\", expect_size=\"9237504\"] \n  42 -> 43 [size =\"9237504\"]\n  43 [size=\"46353920\", alpha=\"0.01\", expect_size=\"18541568\"] \n  43 -> 44 [size =\"18541568\"]\n  44 [size=\"127093760\", alpha=\"0.14\", expect_size=\"50837504\"] \n  44 -> 45 [size =\"50837504\"]\n  45 [size=\"62743040\", alpha=\"0.03\", expect_size=\"25097216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95543296\", alpha=\"0.17\", expect_size=\"47771648\"] \n  1 -> 7 [size =\"47771648\"]\n  1 -> 9 [size =\"47771648\"]\n  2 [size=\"96737280\", alpha=\"0.07\", expect_size=\"48368640\"] \n  2 -> 6 [size =\"48368640\"]\n  2 -> 7 [size =\"48368640\"]\n  2 -> 9 [size =\"48368640\"]\n  2 -> 10 [size =\"48368640\"]\n  3 [size=\"67377152\", alpha=\"0.08\", expect_size=\"33688576\"] \n  3 -> 6 [size =\"33688576\"]\n  3 -> 8 [size =\"33688576\"]\n  4 [size=\"66949120\", alpha=\"0.07\", expect_size=\"33474560\"] \n  4 -> 5 [size =\"33474560\"]\n  4 -> 6 [size =\"33474560\"]\n  4 -> 8 [size =\"33474560\"]\n  4 -> 9 [size =\"33474560\"]\n  4 -> 10 [size =\"33474560\"]\n  5 [size=\"58417152\", alpha=\"0.12\", expect_size=\"29208576\"] \n  5 -> 12 [size =\"29208576\"]\n  5 -> 13 [size =\"29208576\"]\n  5 -> 14 [size =\"29208576\"]\n  6 [size=\"32092160\", alpha=\"0.17\", expect_size=\"16046080\"] \n  6 -> 13 [size =\"16046080\"]\n  6 -> 15 [size =\"16046080\"]\n  7 [size=\"64870400\", alpha=\"0.14\", expect_size=\"32435200\"] \n  7 -> 16 [size =\"32435200\"]\n  7 -> 17 [size =\"32435200\"]\n  8 [size=\"93816832\", alpha=\"0.18\", expect_size=\"46908416\"] \n  8 -> 11 [size =\"46908416\"]\n  8 -> 12 [size =\"46908416\"]\n  8 -> 16 [size =\"46908416\"]\n  9 [size=\"54452224\", alpha=\"0.16\", expect_size=\"27226112\"] \n  10 [size=\"99112960\", alpha=\"0.15\", expect_size=\"49556480\"] \n  10 -> 11 [size =\"49556480\"]\n  10 -> 12 [size =\"49556480\"]\n  10 -> 14 [size =\"49556480\"]\n  11 [size=\"82882560\", alpha=\"0.08\", expect_size=\"41441280\"] \n  11 -> 19 [size =\"41441280\"]\n  11 -> 20 [size =\"41441280\"]\n  11 -> 23 [size =\"41441280\"]\n  12 [size=\"69773312\", alpha=\"0.17\", expect_size=\"34886656\"] \n  12 -> 18 [size =\"34886656\"]\n  12 -> 21 [size =\"34886656\"]\n  13 [size=\"104499200\", alpha=\"0.00\", expect_size=\"52249600\"] \n  13 -> 18 [size =\"52249600\"]\n  13 -> 21 [size =\"52249600\"]\n  13 -> 22 [size =\"52249600\"]\n  13 -> 24 [size =\"52249600\"]\n  14 [size=\"49498112\", alpha=\"0.05\", expect_size=\"24749056\"] \n  14 -> 21 [size =\"24749056\"]\n  14 -> 24 [size =\"24749056\"]\n  15 [size=\"83908608\", alpha=\"0.11\", expect_size=\"41954304\"] \n  15 -> 23 [size =\"41954304\"]\n  16 [size=\"44576768\", alpha=\"0.15\", expect_size=\"22288384\"] \n  16 -> 18 [size =\"22288384\"]\n  16 -> 23 [size =\"22288384\"]\n  16 -> 24 [size =\"22288384\"]\n  17 [size=\"32083968\", alpha=\"0.15\", expect_size=\"16041984\"] \n  17 -> 18 [size =\"16041984\"]\n  17 -> 19 [size =\"16041984\"]\n  17 -> 21 [size =\"16041984\"]\n  17 -> 23 [size =\"16041984\"]\n  18 [size=\"98748416\", alpha=\"0.13\", expect_size=\"49374208\"] \n  18 -> 26 [size =\"49374208\"]\n  18 -> 27 [size =\"49374208\"]\n  18 -> 28 [size =\"49374208\"]\n  19 [size=\"89010176\", alpha=\"0.06\", expect_size=\"44505088\"] \n  19 -> 25 [size =\"44505088\"]\n  19 -> 26 [size =\"44505088\"]\n  20 [size=\"71458816\", alpha=\"0.06\", expect_size=\"35729408\"] \n  20 -> 25 [size =\"35729408\"]\n  20 -> 26 [size =\"35729408\"]\n  21 [size=\"47867904\", alpha=\"0.03\", expect_size=\"23933952\"] \n  21 -> 25 [size =\"23933952\"]\n  21 -> 27 [size =\"23933952\"]\n  21 -> 28 [size =\"23933952\"]\n  22 [size=\"85456896\", alpha=\"0.19\", expect_size=\"42728448\"] \n  22 -> 25 [size =\"42728448\"]\n  22 -> 26 [size =\"42728448\"]\n  22 -> 27 [size =\"42728448\"]\n  22 -> 28 [size =\"42728448\"]\n  22 -> 29 [size =\"42728448\"]\n  23 [size=\"68958208\", alpha=\"0.07\", expect_size=\"34479104\"] \n  23 -> 25 [size =\"34479104\"]\n  23 -> 28 [size =\"34479104\"]\n  24 [size=\"69799936\", alpha=\"0.07\", expect_size=\"34899968\"] \n  24 -> 26 [size =\"34899968\"]\n  24 -> 27 [size =\"34899968\"]\n  24 -> 28 [size =\"34899968\"]\n  24 -> 29 [size =\"34899968\"]\n  25 [size=\"91947008\", alpha=\"0.17\", expect_size=\"45973504\"] \n  25 -> 30 [size =\"45973504\"]\n  25 -> 31 [size =\"45973504\"]\n  25 -> 33 [size =\"45973504\"]\n  26 [size=\"49960960\", alpha=\"0.11\", expect_size=\"24980480\"] \n  26 -> 31 [size =\"24980480\"]\n  27 [size=\"25192448\", alpha=\"0.17\", expect_size=\"12596224\"] \n  27 -> 31 [size =\"12596224\"]\n  27 -> 32 [size =\"12596224\"]\n  27 -> 33 [size =\"12596224\"]\n  28 [size=\"96131072\", alpha=\"0.01\", expect_size=\"48065536\"] \n  28 -> 30 [size =\"48065536\"]\n  28 -> 32 [size =\"48065536\"]\n  29 [size=\"61732864\", alpha=\"0.14\", expect_size=\"30866432\"] \n  29 -> 30 [size =\"30866432\"]\n  29 -> 32 [size =\"30866432\"]\n  29 -> 33 [size =\"30866432\"]\n  29 -> 34 [size =\"30866432\"]\n  30 [size=\"90394624\", alpha=\"0.06\", expect_size=\"45197312\"] \n  30 -> 36 [size =\"45197312\"]\n  30 -> 37 [size =\"45197312\"]\n  30 -> 38 [size =\"45197312\"]\n  30 -> 39 [size =\"45197312\"]\n  30 -> 41 [size =\"45197312\"]\n  31 [size=\"22269952\", alpha=\"0.13\", expect_size=\"11134976\"] \n  31 -> 37 [size =\"11134976\"]\n  31 -> 38 [size =\"11134976\"]\n  31 -> 41 [size =\"11134976\"]\n  32 [size=\"36788224\", alpha=\"0.13\", expect_size=\"18394112\"] \n  32 -> 35 [size =\"18394112\"]\n  32 -> 38 [size =\"18394112\"]\n  32 -> 39 [size =\"18394112\"]\n  32 -> 40 [size =\"18394112\"]\n  33 [size=\"31457280\", alpha=\"0.12\", expect_size=\"15728640\"] \n  34 [size=\"63168512\", alpha=\"0.00\", expect_size=\"31584256\"] \n  34 -> 37 [size =\"31584256\"]\n  34 -> 41 [size =\"31584256\"]\n  35 [size=\"94017536\", alpha=\"0.04\", expect_size=\"47008768\"] \n  35 -> 42 [size =\"47008768\"]\n  35 -> 44 [size =\"47008768\"]\n  35 -> 44 [size =\"47008768\"]\n  36 [size=\"77563904\", alpha=\"0.15\", expect_size=\"38781952\"] \n  36 -> 42 [size =\"38781952\"]\n  36 -> 43 [size =\"38781952\"]\n  36 -> 44 [size =\"38781952\"]\n  36 -> 45 [size =\"38781952\"]\n  37 [size=\"35414016\", alpha=\"0.10\", expect_size=\"17707008\"] \n  37 -> 43 [size =\"17707008\"]\n  38 [size=\"21954560\", alpha=\"0.04\", expect_size=\"10977280\"] \n  38 -> 43 [size =\"10977280\"]\n  39 [size=\"26144768\", alpha=\"0.15\", expect_size=\"13072384\"] \n  39 -> 42 [size =\"13072384\"]\n  39 -> 45 [size =\"13072384\"]\n  40 [size=\"91955200\", alpha=\"0.18\", expect_size=\"45977600\"] \n  40 -> 42 [size =\"45977600\"]\n  40 -> 43 [size =\"45977600\"]\n  40 -> 44 [size =\"45977600\"]\n  41 [size=\"24895488\", alpha=\"0.10\", expect_size=\"12447744\"] \n  41 -> 42 [size =\"12447744\"]\n  41 -> 43 [size =\"12447744\"]\n  41 -> 44 [size =\"12447744\"]\n  42 [size=\"86106112\", alpha=\"0.17\", expect_size=\"43053056\"] \n  43 [size=\"51765248\", alpha=\"0.17\", expect_size=\"25882624\"] \n  44 [size=\"15882240\", alpha=\"0.09\", expect_size=\"7941120\"] \n  45 [size=\"17475584\", alpha=\"0.19\", expect_size=\"8737792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20167680\", alpha=\"0.15\", expect_size=\"8067072\"] \n  1 -> 21 [size =\"8067072\"]\n  1 -> 26 [size =\"8067072\"]\n  1 -> 27 [size =\"8067072\"]\n  1 -> 29 [size =\"8067072\"]\n  1 -> 33 [size =\"8067072\"]\n  1 -> 34 [size =\"8067072\"]\n  1 -> 36 [size =\"8067072\"]\n  2 [size=\"91066880\", alpha=\"0.10\", expect_size=\"36426752\"] \n  2 -> 24 [size =\"36426752\"]\n  2 -> 25 [size =\"36426752\"]\n  2 -> 26 [size =\"36426752\"]\n  2 -> 28 [size =\"36426752\"]\n  2 -> 29 [size =\"36426752\"]\n  2 -> 33 [size =\"36426752\"]\n  2 -> 36 [size =\"36426752\"]\n  2 -> 37 [size =\"36426752\"]\n  3 [size=\"50969600\", alpha=\"0.05\", expect_size=\"20387840\"] \n  3 -> 24 [size =\"20387840\"]\n  3 -> 29 [size =\"20387840\"]\n  3 -> 36 [size =\"20387840\"]\n  4 [size=\"99612160\", alpha=\"0.02\", expect_size=\"39844864\"] \n  4 -> 27 [size =\"39844864\"]\n  4 -> 33 [size =\"39844864\"]\n  5 [size=\"84761600\", alpha=\"0.13\", expect_size=\"33904640\"] \n  5 -> 25 [size =\"33904640\"]\n  5 -> 29 [size =\"33904640\"]\n  5 -> 30 [size =\"33904640\"]\n  5 -> 37 [size =\"33904640\"]\n  6 [size=\"85936640\", alpha=\"0.03\", expect_size=\"34374656\"] \n  6 -> 21 [size =\"34374656\"]\n  6 -> 26 [size =\"34374656\"]\n  6 -> 30 [size =\"34374656\"]\n  6 -> 33 [size =\"34374656\"]\n  6 -> 36 [size =\"34374656\"]\n  6 -> 37 [size =\"34374656\"]\n  7 [size=\"64401920\", alpha=\"0.19\", expect_size=\"25760768\"] \n  7 -> 20 [size =\"25760768\"]\n  7 -> 23 [size =\"25760768\"]\n  7 -> 26 [size =\"25760768\"]\n  7 -> 34 [size =\"25760768\"]\n  7 -> 37 [size =\"25760768\"]\n  8 [size=\"30617600\", alpha=\"0.20\", expect_size=\"12247040\"] \n  8 -> 21 [size =\"12247040\"]\n  8 -> 22 [size =\"12247040\"]\n  8 -> 31 [size =\"12247040\"]\n  8 -> 33 [size =\"12247040\"]\n  8 -> 36 [size =\"12247040\"]\n  8 -> 37 [size =\"12247040\"]\n  8 -> 38 [size =\"12247040\"]\n  9 [size=\"61808640\", alpha=\"0.10\", expect_size=\"24723456\"] \n  9 -> 22 [size =\"24723456\"]\n  9 -> 24 [size =\"24723456\"]\n  9 -> 25 [size =\"24723456\"]\n  9 -> 26 [size =\"24723456\"]\n  9 -> 28 [size =\"24723456\"]\n  9 -> 31 [size =\"24723456\"]\n  9 -> 32 [size =\"24723456\"]\n  10 [size=\"27801600\", alpha=\"0.09\", expect_size=\"11120640\"] \n  10 -> 26 [size =\"11120640\"]\n  10 -> 27 [size =\"11120640\"]\n  10 -> 30 [size =\"11120640\"]\n  10 -> 32 [size =\"11120640\"]\n  10 -> 38 [size =\"11120640\"]\n  11 [size=\"73889280\", alpha=\"0.05\", expect_size=\"29555712\"] \n  11 -> 20 [size =\"29555712\"]\n  11 -> 21 [size =\"29555712\"]\n  11 -> 22 [size =\"29555712\"]\n  11 -> 25 [size =\"29555712\"]\n  11 -> 27 [size =\"29555712\"]\n  11 -> 28 [size =\"29555712\"]\n  11 -> 34 [size =\"29555712\"]\n  12 [size=\"44277760\", alpha=\"0.04\", expect_size=\"17711104\"] \n  12 -> 20 [size =\"17711104\"]\n  12 -> 23 [size =\"17711104\"]\n  12 -> 25 [size =\"17711104\"]\n  12 -> 27 [size =\"17711104\"]\n  12 -> 28 [size =\"17711104\"]\n  12 -> 30 [size =\"17711104\"]\n  13 [size=\"104860160\", alpha=\"0.01\", expect_size=\"41944064\"] \n  13 -> 20 [size =\"41944064\"]\n  13 -> 22 [size =\"41944064\"]\n  13 -> 26 [size =\"41944064\"]\n  13 -> 27 [size =\"41944064\"]\n  13 -> 28 [size =\"41944064\"]\n  13 -> 30 [size =\"41944064\"]\n  13 -> 32 [size =\"41944064\"]\n  13 -> 33 [size =\"41944064\"]\n  13 -> 34 [size =\"41944064\"]\n  13 -> 35 [size =\"41944064\"]\n  13 -> 38 [size =\"41944064\"]\n  14 [size=\"15114240\", alpha=\"0.11\", expect_size=\"6045696\"] \n  14 -> 21 [size =\"6045696\"]\n  14 -> 28 [size =\"6045696\"]\n  14 -> 30 [size =\"6045696\"]\n  14 -> 32 [size =\"6045696\"]\n  14 -> 33 [size =\"6045696\"]\n  14 -> 35 [size =\"6045696\"]\n  14 -> 38 [size =\"6045696\"]\n  15 [size=\"25466880\", alpha=\"0.07\", expect_size=\"10186752\"] \n  15 -> 20 [size =\"10186752\"]\n  15 -> 21 [size =\"10186752\"]\n  15 -> 26 [size =\"10186752\"]\n  15 -> 30 [size =\"10186752\"]\n  15 -> 38 [size =\"10186752\"]\n  16 [size=\"99648000\", alpha=\"0.00\", expect_size=\"39859200\"] \n  16 -> 20 [size =\"39859200\"]\n  16 -> 22 [size =\"39859200\"]\n  16 -> 26 [size =\"39859200\"]\n  16 -> 28 [size =\"39859200\"]\n  16 -> 32 [size =\"39859200\"]\n  17 [size=\"117936640\", alpha=\"0.10\", expect_size=\"47174656\"] \n  17 -> 27 [size =\"47174656\"]\n  17 -> 28 [size =\"47174656\"]\n  17 -> 32 [size =\"47174656\"]\n  17 -> 37 [size =\"47174656\"]\n  18 [size=\"114880000\", alpha=\"0.07\", expect_size=\"45952000\"] \n  18 -> 21 [size =\"45952000\"]\n  18 -> 26 [size =\"45952000\"]\n  18 -> 27 [size =\"45952000\"]\n  18 -> 33 [size =\"45952000\"]\n  18 -> 37 [size =\"45952000\"]\n  18 -> 38 [size =\"45952000\"]\n  19 [size=\"114808320\", alpha=\"0.15\", expect_size=\"45923328\"] \n  19 -> 21 [size =\"45923328\"]\n  19 -> 22 [size =\"45923328\"]\n  19 -> 25 [size =\"45923328\"]\n  19 -> 28 [size =\"45923328\"]\n  19 -> 32 [size =\"45923328\"]\n  19 -> 33 [size =\"45923328\"]\n  19 -> 37 [size =\"45923328\"]\n  19 -> 38 [size =\"45923328\"]\n  20 [size=\"57607680\", alpha=\"0.01\", expect_size=\"23043072\"] \n  20 -> 42 [size =\"23043072\"]\n  20 -> 43 [size =\"23043072\"]\n  21 [size=\"107773440\", alpha=\"0.09\", expect_size=\"43109376\"] \n  21 -> 40 [size =\"43109376\"]\n  21 -> 43 [size =\"43109376\"]\n  21 -> 44 [size =\"43109376\"]\n  22 [size=\"21424640\", alpha=\"0.09\", expect_size=\"8569856\"] \n  22 -> 42 [size =\"8569856\"]\n  22 -> 44 [size =\"8569856\"]\n  22 -> 45 [size =\"8569856\"]\n  23 [size=\"43599360\", alpha=\"0.16\", expect_size=\"17439744\"] \n  23 -> 42 [size =\"17439744\"]\n  23 -> 43 [size =\"17439744\"]\n  23 -> 45 [size =\"17439744\"]\n  24 [size=\"51906560\", alpha=\"0.18\", expect_size=\"20762624\"] \n  24 -> 39 [size =\"20762624\"]\n  24 -> 40 [size =\"20762624\"]\n  24 -> 42 [size =\"20762624\"]\n  24 -> 43 [size =\"20762624\"]\n  24 -> 45 [size =\"20762624\"]\n  25 [size=\"116200960\", alpha=\"0.12\", expect_size=\"46480384\"] \n  25 -> 39 [size =\"46480384\"]\n  25 -> 42 [size =\"46480384\"]\n  25 -> 43 [size =\"46480384\"]\n  25 -> 45 [size =\"46480384\"]\n  26 [size=\"37094400\", alpha=\"0.18\", expect_size=\"14837760\"] \n  26 -> 39 [size =\"14837760\"]\n  26 -> 45 [size =\"14837760\"]\n  27 [size=\"39772160\", alpha=\"0.13\", expect_size=\"15908864\"] \n  27 -> 39 [size =\"15908864\"]\n  27 -> 45 [size =\"15908864\"]\n  28 [size=\"100856320\", alpha=\"0.11\", expect_size=\"40342528\"] \n  28 -> 42 [size =\"40342528\"]\n  28 -> 45 [size =\"40342528\"]\n  29 [size=\"24399360\", alpha=\"0.17\", expect_size=\"9759744\"] \n  29 -> 39 [size =\"9759744\"]\n  30 [size=\"113213440\", alpha=\"0.06\", expect_size=\"45285376\"] \n  30 -> 40 [size =\"45285376\"]\n  30 -> 42 [size =\"45285376\"]\n  30 -> 45 [size =\"45285376\"]\n  31 [size=\"120665600\", alpha=\"0.05\", expect_size=\"48266240\"] \n  31 -> 41 [size =\"48266240\"]\n  31 -> 43 [size =\"48266240\"]\n  32 [size=\"53818880\", alpha=\"0.09\", expect_size=\"21527552\"] \n  32 -> 39 [size =\"21527552\"]\n  32 -> 42 [size =\"21527552\"]\n  33 [size=\"108597760\", alpha=\"0.08\", expect_size=\"43439104\"] \n  33 -> 39 [size =\"43439104\"]\n  33 -> 45 [size =\"43439104\"]\n  34 [size=\"86935040\", alpha=\"0.09\", expect_size=\"34774016\"] \n  34 -> 39 [size =\"34774016\"]\n  34 -> 41 [size =\"34774016\"]\n  35 [size=\"75340800\", alpha=\"0.11\", expect_size=\"30136320\"] \n  36 [size=\"27504640\", alpha=\"0.08\", expect_size=\"11001856\"] \n  36 -> 40 [size =\"11001856\"]\n  36 -> 42 [size =\"11001856\"]\n  37 [size=\"16258560\", alpha=\"0.02\", expect_size=\"6503424\"] \n  37 -> 40 [size =\"6503424\"]\n  37 -> 43 [size =\"6503424\"]\n  37 -> 45 [size =\"6503424\"]\n  38 [size=\"92892160\", alpha=\"0.14\", expect_size=\"37156864\"] \n  38 -> 40 [size =\"37156864\"]\n  38 -> 42 [size =\"37156864\"]\n  38 -> 43 [size =\"37156864\"]\n  39 [size=\"38991360\", alpha=\"0.03\", expect_size=\"15596544\"] \n  40 [size=\"21222400\", alpha=\"0.00\", expect_size=\"8488960\"] \n  41 [size=\"54279680\", alpha=\"0.13\", expect_size=\"21711872\"] \n  42 [size=\"80983040\", alpha=\"0.07\", expect_size=\"32393216\"] \n  43 [size=\"14535680\", alpha=\"0.06\", expect_size=\"5814272\"] \n  44 [size=\"64660480\", alpha=\"0.12\", expect_size=\"25864192\"] \n  45 [size=\"115399680\", alpha=\"0.16\", expect_size=\"46159872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29915136\", alpha=\"0.18\", expect_size=\"14957568\"] \n  1 -> 15 [size =\"14957568\"]\n  1 -> 18 [size =\"14957568\"]\n  1 -> 19 [size =\"14957568\"]\n  1 -> 20 [size =\"14957568\"]\n  1 -> 22 [size =\"14957568\"]\n  1 -> 23 [size =\"14957568\"]\n  1 -> 25 [size =\"14957568\"]\n  1 -> 26 [size =\"14957568\"]\n  2 [size=\"10868736\", alpha=\"0.20\", expect_size=\"5434368\"] \n  2 -> 15 [size =\"5434368\"]\n  2 -> 16 [size =\"5434368\"]\n  2 -> 19 [size =\"5434368\"]\n  2 -> 20 [size =\"5434368\"]\n  2 -> 22 [size =\"5434368\"]\n  2 -> 23 [size =\"5434368\"]\n  2 -> 26 [size =\"5434368\"]\n  3 [size=\"94867456\", alpha=\"0.00\", expect_size=\"47433728\"] \n  3 -> 15 [size =\"47433728\"]\n  3 -> 19 [size =\"47433728\"]\n  3 -> 19 [size =\"47433728\"]\n  3 -> 21 [size =\"47433728\"]\n  3 -> 22 [size =\"47433728\"]\n  3 -> 23 [size =\"47433728\"]\n  3 -> 25 [size =\"47433728\"]\n  3 -> 26 [size =\"47433728\"]\n  3 -> 27 [size =\"47433728\"]\n  4 [size=\"17031168\", alpha=\"0.00\", expect_size=\"8515584\"] \n  4 -> 15 [size =\"8515584\"]\n  4 -> 16 [size =\"8515584\"]\n  4 -> 17 [size =\"8515584\"]\n  4 -> 21 [size =\"8515584\"]\n  4 -> 23 [size =\"8515584\"]\n  4 -> 23 [size =\"8515584\"]\n  5 [size=\"70584320\", alpha=\"0.20\", expect_size=\"35292160\"] \n  5 -> 15 [size =\"35292160\"]\n  5 -> 16 [size =\"35292160\"]\n  5 -> 19 [size =\"35292160\"]\n  5 -> 23 [size =\"35292160\"]\n  5 -> 23 [size =\"35292160\"]\n  5 -> 25 [size =\"35292160\"]\n  6 [size=\"58036224\", alpha=\"0.00\", expect_size=\"29018112\"] \n  6 -> 15 [size =\"29018112\"]\n  6 -> 22 [size =\"29018112\"]\n  6 -> 23 [size =\"29018112\"]\n  6 -> 23 [size =\"29018112\"]\n  6 -> 25 [size =\"29018112\"]\n  7 [size=\"93978624\", alpha=\"0.12\", expect_size=\"46989312\"] \n  7 -> 15 [size =\"46989312\"]\n  7 -> 19 [size =\"46989312\"]\n  7 -> 22 [size =\"46989312\"]\n  7 -> 24 [size =\"46989312\"]\n  7 -> 27 [size =\"46989312\"]\n  8 [size=\"36253696\", alpha=\"0.06\", expect_size=\"18126848\"] \n  8 -> 15 [size =\"18126848\"]\n  8 -> 19 [size =\"18126848\"]\n  8 -> 22 [size =\"18126848\"]\n  9 [size=\"63535104\", alpha=\"0.06\", expect_size=\"31767552\"] \n  9 -> 15 [size =\"31767552\"]\n  9 -> 16 [size =\"31767552\"]\n  9 -> 17 [size =\"31767552\"]\n  9 -> 19 [size =\"31767552\"]\n  9 -> 21 [size =\"31767552\"]\n  9 -> 22 [size =\"31767552\"]\n  9 -> 27 [size =\"31767552\"]\n  10 [size=\"27734016\", alpha=\"0.16\", expect_size=\"13867008\"] \n  10 -> 15 [size =\"13867008\"]\n  10 -> 16 [size =\"13867008\"]\n  10 -> 17 [size =\"13867008\"]\n  10 -> 19 [size =\"13867008\"]\n  10 -> 22 [size =\"13867008\"]\n  10 -> 23 [size =\"13867008\"]\n  10 -> 25 [size =\"13867008\"]\n  10 -> 26 [size =\"13867008\"]\n  10 -> 27 [size =\"13867008\"]\n  11 [size=\"46000128\", alpha=\"0.10\", expect_size=\"23000064\"] \n  11 -> 15 [size =\"23000064\"]\n  11 -> 16 [size =\"23000064\"]\n  11 -> 22 [size =\"23000064\"]\n  11 -> 25 [size =\"23000064\"]\n  12 [size=\"34207744\", alpha=\"0.12\", expect_size=\"17103872\"] \n  12 -> 16 [size =\"17103872\"]\n  12 -> 16 [size =\"17103872\"]\n  12 -> 17 [size =\"17103872\"]\n  12 -> 20 [size =\"17103872\"]\n  12 -> 22 [size =\"17103872\"]\n  12 -> 23 [size =\"17103872\"]\n  12 -> 25 [size =\"17103872\"]\n  12 -> 26 [size =\"17103872\"]\n  12 -> 27 [size =\"17103872\"]\n  13 [size=\"32399360\", alpha=\"0.13\", expect_size=\"16199680\"] \n  13 -> 16 [size =\"16199680\"]\n  13 -> 22 [size =\"16199680\"]\n  13 -> 23 [size =\"16199680\"]\n  13 -> 25 [size =\"16199680\"]\n  13 -> 26 [size =\"16199680\"]\n  13 -> 27 [size =\"16199680\"]\n  14 [size=\"34715648\", alpha=\"0.05\", expect_size=\"17357824\"] \n  14 -> 16 [size =\"17357824\"]\n  14 -> 19 [size =\"17357824\"]\n  14 -> 22 [size =\"17357824\"]\n  14 -> 23 [size =\"17357824\"]\n  14 -> 25 [size =\"17357824\"]\n  14 -> 26 [size =\"17357824\"]\n  15 [size=\"35952640\", alpha=\"0.18\", expect_size=\"17976320\"] \n  15 -> 28 [size =\"17976320\"]\n  15 -> 32 [size =\"17976320\"]\n  15 -> 33 [size =\"17976320\"]\n  15 -> 36 [size =\"17976320\"]\n  15 -> 39 [size =\"17976320\"]\n  16 [size=\"34787328\", alpha=\"0.03\", expect_size=\"17393664\"] \n  16 -> 28 [size =\"17393664\"]\n  16 -> 31 [size =\"17393664\"]\n  16 -> 34 [size =\"17393664\"]\n  16 -> 36 [size =\"17393664\"]\n  17 [size=\"37064704\", alpha=\"0.07\", expect_size=\"18532352\"] \n  17 -> 28 [size =\"18532352\"]\n  17 -> 32 [size =\"18532352\"]\n  17 -> 33 [size =\"18532352\"]\n  17 -> 36 [size =\"18532352\"]\n  17 -> 39 [size =\"18532352\"]\n  18 [size=\"92268544\", alpha=\"0.15\", expect_size=\"46134272\"] \n  18 -> 28 [size =\"46134272\"]\n  18 -> 30 [size =\"46134272\"]\n  18 -> 32 [size =\"46134272\"]\n  18 -> 33 [size =\"46134272\"]\n  18 -> 36 [size =\"46134272\"]\n  18 -> 37 [size =\"46134272\"]\n  19 [size=\"24039424\", alpha=\"0.08\", expect_size=\"12019712\"] \n  19 -> 28 [size =\"12019712\"]\n  19 -> 29 [size =\"12019712\"]\n  19 -> 31 [size =\"12019712\"]\n  19 -> 32 [size =\"12019712\"]\n  19 -> 33 [size =\"12019712\"]\n  19 -> 35 [size =\"12019712\"]\n  19 -> 36 [size =\"12019712\"]\n  19 -> 38 [size =\"12019712\"]\n  19 -> 39 [size =\"12019712\"]\n  19 -> 40 [size =\"12019712\"]\n  20 [size=\"54704128\", alpha=\"0.05\", expect_size=\"27352064\"] \n  20 -> 29 [size =\"27352064\"]\n  20 -> 29 [size =\"27352064\"]\n  20 -> 30 [size =\"27352064\"]\n  20 -> 32 [size =\"27352064\"]\n  20 -> 35 [size =\"27352064\"]\n  20 -> 36 [size =\"27352064\"]\n  20 -> 36 [size =\"27352064\"]\n  20 -> 39 [size =\"27352064\"]\n  20 -> 39 [size =\"27352064\"]\n  21 [size=\"37267456\", alpha=\"0.06\", expect_size=\"18633728\"] \n  21 -> 29 [size =\"18633728\"]\n  21 -> 30 [size =\"18633728\"]\n  21 -> 33 [size =\"18633728\"]\n  21 -> 38 [size =\"18633728\"]\n  22 [size=\"84377600\", alpha=\"0.07\", expect_size=\"42188800\"] \n  22 -> 28 [size =\"42188800\"]\n  22 -> 29 [size =\"42188800\"]\n  22 -> 30 [size =\"42188800\"]\n  22 -> 32 [size =\"42188800\"]\n  22 -> 33 [size =\"42188800\"]\n  22 -> 35 [size =\"42188800\"]\n  22 -> 36 [size =\"42188800\"]\n  22 -> 38 [size =\"42188800\"]\n  22 -> 39 [size =\"42188800\"]\n  23 [size=\"48146432\", alpha=\"0.06\", expect_size=\"24073216\"] \n  23 -> 28 [size =\"24073216\"]\n  23 -> 29 [size =\"24073216\"]\n  23 -> 30 [size =\"24073216\"]\n  23 -> 32 [size =\"24073216\"]\n  23 -> 33 [size =\"24073216\"]\n  23 -> 36 [size =\"24073216\"]\n  23 -> 38 [size =\"24073216\"]\n  23 -> 38 [size =\"24073216\"]\n  23 -> 39 [size =\"24073216\"]\n  24 [size=\"17020928\", alpha=\"0.07\", expect_size=\"8510464\"] \n  24 -> 28 [size =\"8510464\"]\n  24 -> 29 [size =\"8510464\"]\n  24 -> 30 [size =\"8510464\"]\n  24 -> 33 [size =\"8510464\"]\n  24 -> 33 [size =\"8510464\"]\n  24 -> 36 [size =\"8510464\"]\n  24 -> 37 [size =\"8510464\"]\n  24 -> 38 [size =\"8510464\"]\n  24 -> 39 [size =\"8510464\"]\n  25 [size=\"38801408\", alpha=\"0.00\", expect_size=\"19400704\"] \n  25 -> 28 [size =\"19400704\"]\n  25 -> 29 [size =\"19400704\"]\n  25 -> 30 [size =\"19400704\"]\n  25 -> 33 [size =\"19400704\"]\n  25 -> 34 [size =\"19400704\"]\n  25 -> 35 [size =\"19400704\"]\n  25 -> 36 [size =\"19400704\"]\n  25 -> 37 [size =\"19400704\"]\n  25 -> 39 [size =\"19400704\"]\n  26 [size=\"27115520\", alpha=\"0.03\", expect_size=\"13557760\"] \n  26 -> 28 [size =\"13557760\"]\n  26 -> 29 [size =\"13557760\"]\n  26 -> 32 [size =\"13557760\"]\n  26 -> 33 [size =\"13557760\"]\n  26 -> 35 [size =\"13557760\"]\n  26 -> 36 [size =\"13557760\"]\n  27 [size=\"42393600\", alpha=\"0.04\", expect_size=\"21196800\"] \n  27 -> 28 [size =\"21196800\"]\n  27 -> 29 [size =\"21196800\"]\n  27 -> 32 [size =\"21196800\"]\n  27 -> 33 [size =\"21196800\"]\n  28 [size=\"76546048\", alpha=\"0.11\", expect_size=\"38273024\"] \n  29 [size=\"54048768\", alpha=\"0.09\", expect_size=\"27024384\"] \n  30 [size=\"90089472\", alpha=\"0.10\", expect_size=\"45044736\"] \n  30 -> 41 [size =\"45044736\"]\n  31 [size=\"17838080\", alpha=\"0.19\", expect_size=\"8919040\"] \n  31 -> 41 [size =\"8919040\"]\n  31 -> 44 [size =\"8919040\"]\n  32 [size=\"45475840\", alpha=\"0.13\", expect_size=\"22737920\"] \n  32 -> 44 [size =\"22737920\"]\n  32 -> 45 [size =\"22737920\"]\n  33 [size=\"79009792\", alpha=\"0.11\", expect_size=\"39504896\"] \n  33 -> 42 [size =\"39504896\"]\n  33 -> 43 [size =\"39504896\"]\n  33 -> 44 [size =\"39504896\"]\n  34 [size=\"14082048\", alpha=\"0.15\", expect_size=\"7041024\"] \n  34 -> 41 [size =\"7041024\"]\n  34 -> 44 [size =\"7041024\"]\n  35 [size=\"45983744\", alpha=\"0.04\", expect_size=\"22991872\"] \n  35 -> 42 [size =\"22991872\"]\n  35 -> 43 [size =\"22991872\"]\n  35 -> 44 [size =\"22991872\"]\n  36 [size=\"46067712\", alpha=\"0.19\", expect_size=\"23033856\"] \n  36 -> 42 [size =\"23033856\"]\n  36 -> 44 [size =\"23033856\"]\n  36 -> 45 [size =\"23033856\"]\n  37 [size=\"61886464\", alpha=\"0.18\", expect_size=\"30943232\"] \n  37 -> 44 [size =\"30943232\"]\n  37 -> 45 [size =\"30943232\"]\n  38 [size=\"82565120\", alpha=\"0.16\", expect_size=\"41282560\"] \n  38 -> 43 [size =\"41282560\"]\n  38 -> 44 [size =\"41282560\"]\n  38 -> 45 [size =\"41282560\"]\n  39 [size=\"39497728\", alpha=\"0.16\", expect_size=\"19748864\"] \n  40 [size=\"80107520\", alpha=\"0.05\", expect_size=\"40053760\"] \n  41 [size=\"32901120\", alpha=\"0.00\", expect_size=\"16450560\"] \n  42 [size=\"27762688\", alpha=\"0.11\", expect_size=\"13881344\"] \n  43 [size=\"88420352\", alpha=\"0.10\", expect_size=\"44210176\"] \n  44 [size=\"48039936\", alpha=\"0.10\", expect_size=\"24019968\"] \n  45 [size=\"25227264\", alpha=\"0.16\", expect_size=\"12613632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39651840\", alpha=\"0.13\", expect_size=\"15860736\"] \n  1 -> 11 [size =\"15860736\"]\n  1 -> 13 [size =\"15860736\"]\n  1 -> 17 [size =\"15860736\"]\n  1 -> 22 [size =\"15860736\"]\n  1 -> 25 [size =\"15860736\"]\n  2 [size=\"50941440\", alpha=\"0.08\", expect_size=\"20376576\"] \n  2 -> 11 [size =\"20376576\"]\n  2 -> 17 [size =\"20376576\"]\n  3 [size=\"130918400\", alpha=\"0.11\", expect_size=\"52367360\"] \n  3 -> 12 [size =\"52367360\"]\n  3 -> 13 [size =\"52367360\"]\n  3 -> 18 [size =\"52367360\"]\n  3 -> 21 [size =\"52367360\"]\n  3 -> 22 [size =\"52367360\"]\n  3 -> 24 [size =\"52367360\"]\n  3 -> 26 [size =\"52367360\"]\n  4 [size=\"89100800\", alpha=\"0.06\", expect_size=\"35640320\"] \n  4 -> 13 [size =\"35640320\"]\n  4 -> 14 [size =\"35640320\"]\n  4 -> 15 [size =\"35640320\"]\n  4 -> 17 [size =\"35640320\"]\n  4 -> 18 [size =\"35640320\"]\n  4 -> 19 [size =\"35640320\"]\n  4 -> 20 [size =\"35640320\"]\n  4 -> 24 [size =\"35640320\"]\n  4 -> 25 [size =\"35640320\"]\n  4 -> 27 [size =\"35640320\"]\n  5 [size=\"17722880\", alpha=\"0.11\", expect_size=\"7089152\"] \n  5 -> 15 [size =\"7089152\"]\n  5 -> 18 [size =\"7089152\"]\n  5 -> 20 [size =\"7089152\"]\n  5 -> 25 [size =\"7089152\"]\n  5 -> 27 [size =\"7089152\"]\n  6 [size=\"62896640\", alpha=\"0.12\", expect_size=\"25158656\"] \n  6 -> 12 [size =\"25158656\"]\n  6 -> 13 [size =\"25158656\"]\n  6 -> 14 [size =\"25158656\"]\n  6 -> 15 [size =\"25158656\"]\n  6 -> 24 [size =\"25158656\"]\n  6 -> 26 [size =\"25158656\"]\n  6 -> 27 [size =\"25158656\"]\n  7 [size=\"64808960\", alpha=\"0.16\", expect_size=\"25923584\"] \n  7 -> 12 [size =\"25923584\"]\n  7 -> 13 [size =\"25923584\"]\n  7 -> 15 [size =\"25923584\"]\n  7 -> 19 [size =\"25923584\"]\n  7 -> 23 [size =\"25923584\"]\n  7 -> 26 [size =\"25923584\"]\n  7 -> 28 [size =\"25923584\"]\n  8 [size=\"78771200\", alpha=\"0.04\", expect_size=\"31508480\"] \n  8 -> 13 [size =\"31508480\"]\n  8 -> 15 [size =\"31508480\"]\n  8 -> 17 [size =\"31508480\"]\n  8 -> 19 [size =\"31508480\"]\n  8 -> 21 [size =\"31508480\"]\n  8 -> 22 [size =\"31508480\"]\n  8 -> 23 [size =\"31508480\"]\n  8 -> 24 [size =\"31508480\"]\n  8 -> 26 [size =\"31508480\"]\n  9 [size=\"60121600\", alpha=\"0.05\", expect_size=\"24048640\"] \n  9 -> 11 [size =\"24048640\"]\n  9 -> 16 [size =\"24048640\"]\n  9 -> 17 [size =\"24048640\"]\n  9 -> 18 [size =\"24048640\"]\n  9 -> 22 [size =\"24048640\"]\n  9 -> 23 [size =\"24048640\"]\n  9 -> 23 [size =\"24048640\"]\n  9 -> 26 [size =\"24048640\"]\n  10 [size=\"88601600\", alpha=\"0.06\", expect_size=\"35440640\"] \n  10 -> 11 [size =\"35440640\"]\n  10 -> 15 [size =\"35440640\"]\n  10 -> 17 [size =\"35440640\"]\n  10 -> 18 [size =\"35440640\"]\n  10 -> 22 [size =\"35440640\"]\n  10 -> 23 [size =\"35440640\"]\n  10 -> 28 [size =\"35440640\"]\n  11 [size=\"119516160\", alpha=\"0.12\", expect_size=\"47806464\"] \n  11 -> 30 [size =\"47806464\"]\n  12 [size=\"78807040\", alpha=\"0.15\", expect_size=\"31522816\"] \n  12 -> 30 [size =\"31522816\"]\n  12 -> 31 [size =\"31522816\"]\n  12 -> 32 [size =\"31522816\"]\n  13 [size=\"123776000\", alpha=\"0.14\", expect_size=\"49510400\"] \n  13 -> 31 [size =\"49510400\"]\n  13 -> 35 [size =\"49510400\"]\n  14 [size=\"72376320\", alpha=\"0.14\", expect_size=\"28950528\"] \n  14 -> 32 [size =\"28950528\"]\n  14 -> 33 [size =\"28950528\"]\n  15 [size=\"109214720\", alpha=\"0.08\", expect_size=\"43685888\"] \n  15 -> 31 [size =\"43685888\"]\n  15 -> 33 [size =\"43685888\"]\n  16 [size=\"56908800\", alpha=\"0.20\", expect_size=\"22763520\"] \n  16 -> 31 [size =\"22763520\"]\n  16 -> 35 [size =\"22763520\"]\n  17 [size=\"126156800\", alpha=\"0.10\", expect_size=\"50462720\"] \n  17 -> 31 [size =\"50462720\"]\n  17 -> 33 [size =\"50462720\"]\n  17 -> 35 [size =\"50462720\"]\n  18 [size=\"104056320\", alpha=\"0.06\", expect_size=\"41622528\"] \n  18 -> 30 [size =\"41622528\"]\n  18 -> 31 [size =\"41622528\"]\n  18 -> 34 [size =\"41622528\"]\n  18 -> 35 [size =\"41622528\"]\n  19 [size=\"129730560\", alpha=\"0.00\", expect_size=\"51892224\"] \n  19 -> 30 [size =\"51892224\"]\n  19 -> 31 [size =\"51892224\"]\n  20 [size=\"40038400\", alpha=\"0.11\", expect_size=\"16015360\"] \n  21 [size=\"73681920\", alpha=\"0.07\", expect_size=\"29472768\"] \n  21 -> 29 [size =\"29472768\"]\n  21 -> 30 [size =\"29472768\"]\n  21 -> 35 [size =\"29472768\"]\n  22 [size=\"26764800\", alpha=\"0.09\", expect_size=\"10705920\"] \n  22 -> 31 [size =\"10705920\"]\n  22 -> 32 [size =\"10705920\"]\n  22 -> 35 [size =\"10705920\"]\n  23 [size=\"115130880\", alpha=\"0.10\", expect_size=\"46052352\"] \n  23 -> 31 [size =\"46052352\"]\n  23 -> 32 [size =\"46052352\"]\n  23 -> 35 [size =\"46052352\"]\n  24 [size=\"79311360\", alpha=\"0.05\", expect_size=\"31724544\"] \n  24 -> 30 [size =\"31724544\"]\n  24 -> 35 [size =\"31724544\"]\n  25 [size=\"43215360\", alpha=\"0.01\", expect_size=\"17286144\"] \n  25 -> 30 [size =\"17286144\"]\n  26 [size=\"92631040\", alpha=\"0.05\", expect_size=\"37052416\"] \n  26 -> 30 [size =\"37052416\"]\n  26 -> 31 [size =\"37052416\"]\n  26 -> 33 [size =\"37052416\"]\n  27 [size=\"92518400\", alpha=\"0.17\", expect_size=\"37007360\"] \n  27 -> 30 [size =\"37007360\"]\n  28 [size=\"32225280\", alpha=\"0.01\", expect_size=\"12890112\"] \n  28 -> 30 [size =\"12890112\"]\n  28 -> 32 [size =\"12890112\"]\n  29 [size=\"67130880\", alpha=\"0.13\", expect_size=\"26852352\"] \n  29 -> 37 [size =\"26852352\"]\n  29 -> 39 [size =\"26852352\"]\n  29 -> 40 [size =\"26852352\"]\n  29 -> 42 [size =\"26852352\"]\n  29 -> 44 [size =\"26852352\"]\n  30 [size=\"68113920\", alpha=\"0.18\", expect_size=\"27245568\"] \n  30 -> 36 [size =\"27245568\"]\n  30 -> 39 [size =\"27245568\"]\n  30 -> 40 [size =\"27245568\"]\n  30 -> 44 [size =\"27245568\"]\n  31 [size=\"15864320\", alpha=\"0.00\", expect_size=\"6345728\"] \n  31 -> 36 [size =\"6345728\"]\n  31 -> 38 [size =\"6345728\"]\n  31 -> 39 [size =\"6345728\"]\n  31 -> 43 [size =\"6345728\"]\n  31 -> 45 [size =\"6345728\"]\n  32 [size=\"54891520\", alpha=\"0.14\", expect_size=\"21956608\"] \n  32 -> 38 [size =\"21956608\"]\n  32 -> 39 [size =\"21956608\"]\n  32 -> 40 [size =\"21956608\"]\n  32 -> 44 [size =\"21956608\"]\n  32 -> 45 [size =\"21956608\"]\n  33 [size=\"105070080\", alpha=\"0.07\", expect_size=\"42028032\"] \n  33 -> 38 [size =\"42028032\"]\n  33 -> 40 [size =\"42028032\"]\n  34 [size=\"48279040\", alpha=\"0.09\", expect_size=\"19311616\"] \n  34 -> 39 [size =\"19311616\"]\n  34 -> 41 [size =\"19311616\"]\n  34 -> 43 [size =\"19311616\"]\n  35 [size=\"78479360\", alpha=\"0.08\", expect_size=\"31391744\"] \n  35 -> 37 [size =\"31391744\"]\n  35 -> 38 [size =\"31391744\"]\n  35 -> 44 [size =\"31391744\"]\n  36 [size=\"82324480\", alpha=\"0.15\", expect_size=\"32929792\"] \n  37 [size=\"109603840\", alpha=\"0.00\", expect_size=\"43841536\"] \n  38 [size=\"94056960\", alpha=\"0.01\", expect_size=\"37622784\"] \n  39 [size=\"101347840\", alpha=\"0.02\", expect_size=\"40539136\"] \n  40 [size=\"60528640\", alpha=\"0.07\", expect_size=\"24211456\"] \n  41 [size=\"47093760\", alpha=\"0.03\", expect_size=\"18837504\"] \n  42 [size=\"49487360\", alpha=\"0.01\", expect_size=\"19794944\"] \n  43 [size=\"15449600\", alpha=\"0.16\", expect_size=\"6179840\"] \n  44 [size=\"55644160\", alpha=\"0.02\", expect_size=\"22257664\"] \n  45 [size=\"111383040\", alpha=\"0.14\", expect_size=\"44553216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33300480\", alpha=\"0.12\", expect_size=\"9990144\"] \n  1 -> 41 [size =\"9990144\"]\n  1 -> 42 [size =\"9990144\"]\n  1 -> 43 [size =\"9990144\"]\n  1 -> 44 [size =\"9990144\"]\n  2 [size=\"116790613\", alpha=\"0.02\", expect_size=\"35037184\"] \n  2 -> 43 [size =\"35037184\"]\n  2 -> 45 [size =\"35037184\"]\n  3 [size=\"133003947\", alpha=\"0.18\", expect_size=\"39901184\"] \n  3 -> 41 [size =\"39901184\"]\n  3 -> 43 [size =\"39901184\"]\n  4 [size=\"78124373\", alpha=\"0.14\", expect_size=\"23437312\"] \n  4 -> 41 [size =\"23437312\"]\n  5 [size=\"104417280\", alpha=\"0.10\", expect_size=\"31325184\"] \n  5 -> 41 [size =\"31325184\"]\n  5 -> 42 [size =\"31325184\"]\n  6 [size=\"46455467\", alpha=\"0.17\", expect_size=\"13936640\"] \n  6 -> 41 [size =\"13936640\"]\n  6 -> 44 [size =\"13936640\"]\n  7 [size=\"165724160\", alpha=\"0.06\", expect_size=\"49717248\"] \n  8 [size=\"89251840\", alpha=\"0.15\", expect_size=\"26775552\"] \n  8 -> 43 [size =\"26775552\"]\n  9 [size=\"70307840\", alpha=\"0.15\", expect_size=\"21092352\"] \n  9 -> 43 [size =\"21092352\"]\n  9 -> 44 [size =\"21092352\"]\n  9 -> 45 [size =\"21092352\"]\n  10 [size=\"59562667\", alpha=\"0.12\", expect_size=\"17868800\"] \n  11 [size=\"147978240\", alpha=\"0.19\", expect_size=\"44393472\"] \n  11 -> 42 [size =\"44393472\"]\n  12 [size=\"81684480\", alpha=\"0.01\", expect_size=\"24505344\"] \n  12 -> 42 [size =\"24505344\"]\n  12 -> 44 [size =\"24505344\"]\n  13 [size=\"97372160\", alpha=\"0.04\", expect_size=\"29211648\"] \n  13 -> 43 [size =\"29211648\"]\n  14 [size=\"84794027\", alpha=\"0.11\", expect_size=\"25438208\"] \n  14 -> 45 [size =\"25438208\"]\n  15 [size=\"34699947\", alpha=\"0.10\", expect_size=\"10409984\"] \n  15 -> 42 [size =\"10409984\"]\n  16 [size=\"115029333\", alpha=\"0.18\", expect_size=\"34508800\"] \n  16 -> 41 [size =\"34508800\"]\n  16 -> 45 [size =\"34508800\"]\n  17 [size=\"89982293\", alpha=\"0.11\", expect_size=\"26994688\"] \n  18 [size=\"138222933\", alpha=\"0.02\", expect_size=\"41466880\"] \n  18 -> 42 [size =\"41466880\"]\n  19 [size=\"99184640\", alpha=\"0.16\", expect_size=\"29755392\"] \n  19 -> 45 [size =\"29755392\"]\n  20 [size=\"63313920\", alpha=\"0.18\", expect_size=\"18994176\"] \n  21 [size=\"160023893\", alpha=\"0.02\", expect_size=\"48007168\"] \n  21 -> 45 [size =\"48007168\"]\n  22 [size=\"152992427\", alpha=\"0.18\", expect_size=\"45897728\"] \n  22 -> 42 [size =\"45897728\"]\n  22 -> 43 [size =\"45897728\"]\n  23 [size=\"162491733\", alpha=\"0.09\", expect_size=\"48747520\"] \n  24 [size=\"39830187\", alpha=\"0.08\", expect_size=\"11949056\"] \n  24 -> 43 [size =\"11949056\"]\n  25 [size=\"127709867\", alpha=\"0.18\", expect_size=\"38312960\"] \n  25 -> 43 [size =\"38312960\"]\n  26 [size=\"49797120\", alpha=\"0.11\", expect_size=\"14939136\"] \n  26 -> 42 [size =\"14939136\"]\n  26 -> 43 [size =\"14939136\"]\n  27 [size=\"33262933\", alpha=\"0.04\", expect_size=\"9978880\"] \n  27 -> 43 [size =\"9978880\"]\n  27 -> 43 [size =\"9978880\"]\n  27 -> 45 [size =\"9978880\"]\n  28 [size=\"119227733\", alpha=\"0.05\", expect_size=\"35768320\"] \n  28 -> 43 [size =\"35768320\"]\n  29 [size=\"137028267\", alpha=\"0.13\", expect_size=\"41108480\"] \n  29 -> 43 [size =\"41108480\"]\n  30 [size=\"106755413\", alpha=\"0.07\", expect_size=\"32026624\"] \n  30 -> 42 [size =\"32026624\"]\n  30 -> 43 [size =\"32026624\"]\n  31 [size=\"90289493\", alpha=\"0.17\", expect_size=\"27086848\"] \n  31 -> 42 [size =\"27086848\"]\n  31 -> 43 [size =\"27086848\"]\n  32 [size=\"103451307\", alpha=\"0.16\", expect_size=\"31035392\"] \n  32 -> 41 [size =\"31035392\"]\n  32 -> 44 [size =\"31035392\"]\n  33 [size=\"88272213\", alpha=\"0.04\", expect_size=\"26481664\"] \n  34 [size=\"160279893\", alpha=\"0.01\", expect_size=\"48083968\"] \n  35 [size=\"65556480\", alpha=\"0.00\", expect_size=\"19666944\"] \n  35 -> 44 [size =\"19666944\"]\n  36 [size=\"48329387\", alpha=\"0.12\", expect_size=\"14498816\"] \n  36 -> 41 [size =\"14498816\"]\n  36 -> 43 [size =\"14498816\"]\n  37 [size=\"137577813\", alpha=\"0.13\", expect_size=\"41273344\"] \n  37 -> 43 [size =\"41273344\"]\n  38 [size=\"166980267\", alpha=\"0.09\", expect_size=\"50094080\"] \n  38 -> 43 [size =\"50094080\"]\n  39 [size=\"51025920\", alpha=\"0.16\", expect_size=\"15307776\"] \n  39 -> 42 [size =\"15307776\"]\n  39 -> 43 [size =\"15307776\"]\n  39 -> 45 [size =\"15307776\"]\n  40 [size=\"157122560\", alpha=\"0.08\", expect_size=\"47136768\"] \n  40 -> 42 [size =\"47136768\"]\n  41 [size=\"55504213\", alpha=\"0.19\", expect_size=\"16651264\"] \n  42 [size=\"33959253\", alpha=\"0.07\", expect_size=\"10187776\"] \n  43 [size=\"156695893\", alpha=\"0.13\", expect_size=\"47008768\"] \n  44 [size=\"31754240\", alpha=\"0.02\", expect_size=\"9526272\"] \n  45 [size=\"41021440\", alpha=\"0.05\", expect_size=\"12306432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77436928\", alpha=\"0.19\", expect_size=\"38718464\"] \n  1 -> 29 [size =\"38718464\"]\n  1 -> 31 [size =\"38718464\"]\n  1 -> 34 [size =\"38718464\"]\n  1 -> 37 [size =\"38718464\"]\n  1 -> 37 [size =\"38718464\"]\n  1 -> 39 [size =\"38718464\"]\n  1 -> 41 [size =\"38718464\"]\n  1 -> 42 [size =\"38718464\"]\n  2 [size=\"17811456\", alpha=\"0.04\", expect_size=\"8905728\"] \n  2 -> 29 [size =\"8905728\"]\n  2 -> 32 [size =\"8905728\"]\n  2 -> 33 [size =\"8905728\"]\n  2 -> 34 [size =\"8905728\"]\n  2 -> 37 [size =\"8905728\"]\n  2 -> 41 [size =\"8905728\"]\n  2 -> 41 [size =\"8905728\"]\n  2 -> 42 [size =\"8905728\"]\n  2 -> 43 [size =\"8905728\"]\n  2 -> 45 [size =\"8905728\"]\n  3 [size=\"43642880\", alpha=\"0.09\", expect_size=\"21821440\"] \n  3 -> 28 [size =\"21821440\"]\n  3 -> 32 [size =\"21821440\"]\n  3 -> 37 [size =\"21821440\"]\n  3 -> 38 [size =\"21821440\"]\n  3 -> 41 [size =\"21821440\"]\n  3 -> 41 [size =\"21821440\"]\n  3 -> 42 [size =\"21821440\"]\n  3 -> 42 [size =\"21821440\"]\n  3 -> 45 [size =\"21821440\"]\n  4 [size=\"30943232\", alpha=\"0.06\", expect_size=\"15471616\"] \n  4 -> 29 [size =\"15471616\"]\n  4 -> 31 [size =\"15471616\"]\n  4 -> 37 [size =\"15471616\"]\n  4 -> 38 [size =\"15471616\"]\n  4 -> 39 [size =\"15471616\"]\n  4 -> 41 [size =\"15471616\"]\n  5 [size=\"61939712\", alpha=\"0.08\", expect_size=\"30969856\"] \n  5 -> 29 [size =\"30969856\"]\n  5 -> 30 [size =\"30969856\"]\n  5 -> 36 [size =\"30969856\"]\n  5 -> 37 [size =\"30969856\"]\n  5 -> 38 [size =\"30969856\"]\n  5 -> 41 [size =\"30969856\"]\n  5 -> 42 [size =\"30969856\"]\n  5 -> 43 [size =\"30969856\"]\n  5 -> 44 [size =\"30969856\"]\n  6 [size=\"78837760\", alpha=\"0.03\", expect_size=\"39418880\"] \n  6 -> 29 [size =\"39418880\"]\n  6 -> 31 [size =\"39418880\"]\n  6 -> 32 [size =\"39418880\"]\n  6 -> 37 [size =\"39418880\"]\n  6 -> 40 [size =\"39418880\"]\n  6 -> 41 [size =\"39418880\"]\n  6 -> 42 [size =\"39418880\"]\n  6 -> 43 [size =\"39418880\"]\n  6 -> 44 [size =\"39418880\"]\n  7 [size=\"67244032\", alpha=\"0.14\", expect_size=\"33622016\"] \n  7 -> 28 [size =\"33622016\"]\n  7 -> 29 [size =\"33622016\"]\n  7 -> 31 [size =\"33622016\"]\n  7 -> 32 [size =\"33622016\"]\n  7 -> 37 [size =\"33622016\"]\n  7 -> 41 [size =\"33622016\"]\n  7 -> 42 [size =\"33622016\"]\n  7 -> 43 [size =\"33622016\"]\n  8 [size=\"30859264\", alpha=\"0.14\", expect_size=\"15429632\"] \n  8 -> 28 [size =\"15429632\"]\n  8 -> 30 [size =\"15429632\"]\n  8 -> 31 [size =\"15429632\"]\n  8 -> 32 [size =\"15429632\"]\n  8 -> 37 [size =\"15429632\"]\n  8 -> 42 [size =\"15429632\"]\n  8 -> 42 [size =\"15429632\"]\n  8 -> 43 [size =\"15429632\"]\n  9 [size=\"36569088\", alpha=\"0.19\", expect_size=\"18284544\"] \n  9 -> 28 [size =\"18284544\"]\n  9 -> 31 [size =\"18284544\"]\n  9 -> 31 [size =\"18284544\"]\n  9 -> 32 [size =\"18284544\"]\n  9 -> 36 [size =\"18284544\"]\n  9 -> 37 [size =\"18284544\"]\n  9 -> 41 [size =\"18284544\"]\n  9 -> 42 [size =\"18284544\"]\n  10 [size=\"97349632\", alpha=\"0.01\", expect_size=\"48674816\"] \n  10 -> 28 [size =\"48674816\"]\n  10 -> 32 [size =\"48674816\"]\n  10 -> 34 [size =\"48674816\"]\n  10 -> 38 [size =\"48674816\"]\n  10 -> 41 [size =\"48674816\"]\n  11 [size=\"87265280\", alpha=\"0.10\", expect_size=\"43632640\"] \n  11 -> 29 [size =\"43632640\"]\n  11 -> 31 [size =\"43632640\"]\n  11 -> 32 [size =\"43632640\"]\n  11 -> 37 [size =\"43632640\"]\n  11 -> 41 [size =\"43632640\"]\n  11 -> 43 [size =\"43632640\"]\n  11 -> 45 [size =\"43632640\"]\n  12 [size=\"82745344\", alpha=\"0.17\", expect_size=\"41372672\"] \n  12 -> 28 [size =\"41372672\"]\n  12 -> 29 [size =\"41372672\"]\n  12 -> 31 [size =\"41372672\"]\n  12 -> 32 [size =\"41372672\"]\n  12 -> 37 [size =\"41372672\"]\n  12 -> 38 [size =\"41372672\"]\n  12 -> 41 [size =\"41372672\"]\n  12 -> 43 [size =\"41372672\"]\n  12 -> 45 [size =\"41372672\"]\n  13 [size=\"101251072\", alpha=\"0.03\", expect_size=\"50625536\"] \n  13 -> 28 [size =\"50625536\"]\n  13 -> 29 [size =\"50625536\"]\n  13 -> 32 [size =\"50625536\"]\n  13 -> 33 [size =\"50625536\"]\n  13 -> 34 [size =\"50625536\"]\n  13 -> 36 [size =\"50625536\"]\n  13 -> 37 [size =\"50625536\"]\n  13 -> 41 [size =\"50625536\"]\n  13 -> 42 [size =\"50625536\"]\n  13 -> 45 [size =\"50625536\"]\n  14 [size=\"48971776\", alpha=\"0.16\", expect_size=\"24485888\"] \n  14 -> 29 [size =\"24485888\"]\n  14 -> 29 [size =\"24485888\"]\n  14 -> 32 [size =\"24485888\"]\n  14 -> 33 [size =\"24485888\"]\n  14 -> 34 [size =\"24485888\"]\n  14 -> 37 [size =\"24485888\"]\n  14 -> 38 [size =\"24485888\"]\n  14 -> 39 [size =\"24485888\"]\n  14 -> 41 [size =\"24485888\"]\n  14 -> 42 [size =\"24485888\"]\n  14 -> 43 [size =\"24485888\"]\n  15 [size=\"76621824\", alpha=\"0.04\", expect_size=\"38310912\"] \n  15 -> 28 [size =\"38310912\"]\n  15 -> 29 [size =\"38310912\"]\n  15 -> 30 [size =\"38310912\"]\n  15 -> 32 [size =\"38310912\"]\n  15 -> 34 [size =\"38310912\"]\n  15 -> 37 [size =\"38310912\"]\n  15 -> 38 [size =\"38310912\"]\n  15 -> 41 [size =\"38310912\"]\n  15 -> 41 [size =\"38310912\"]\n  15 -> 43 [size =\"38310912\"]\n  15 -> 43 [size =\"38310912\"]\n  16 [size=\"18368512\", alpha=\"0.09\", expect_size=\"9184256\"] \n  16 -> 28 [size =\"9184256\"]\n  16 -> 31 [size =\"9184256\"]\n  16 -> 32 [size =\"9184256\"]\n  16 -> 34 [size =\"9184256\"]\n  16 -> 37 [size =\"9184256\"]\n  16 -> 38 [size =\"9184256\"]\n  16 -> 42 [size =\"9184256\"]\n  16 -> 45 [size =\"9184256\"]\n  17 [size=\"34807808\", alpha=\"0.15\", expect_size=\"17403904\"] \n  17 -> 29 [size =\"17403904\"]\n  17 -> 37 [size =\"17403904\"]\n  17 -> 42 [size =\"17403904\"]\n  17 -> 43 [size =\"17403904\"]\n  17 -> 45 [size =\"17403904\"]\n  18 [size=\"103045120\", alpha=\"0.05\", expect_size=\"51522560\"] \n  18 -> 29 [size =\"51522560\"]\n  18 -> 31 [size =\"51522560\"]\n  18 -> 32 [size =\"51522560\"]\n  18 -> 34 [size =\"51522560\"]\n  18 -> 37 [size =\"51522560\"]\n  18 -> 40 [size =\"51522560\"]\n  18 -> 41 [size =\"51522560\"]\n  18 -> 45 [size =\"51522560\"]\n  19 [size=\"76828672\", alpha=\"0.07\", expect_size=\"38414336\"] \n  19 -> 28 [size =\"38414336\"]\n  19 -> 29 [size =\"38414336\"]\n  19 -> 30 [size =\"38414336\"]\n  19 -> 33 [size =\"38414336\"]\n  19 -> 34 [size =\"38414336\"]\n  19 -> 38 [size =\"38414336\"]\n  19 -> 40 [size =\"38414336\"]\n  19 -> 43 [size =\"38414336\"]\n  19 -> 44 [size =\"38414336\"]\n  19 -> 45 [size =\"38414336\"]\n  20 [size=\"73986048\", alpha=\"0.04\", expect_size=\"36993024\"] \n  20 -> 28 [size =\"36993024\"]\n  20 -> 29 [size =\"36993024\"]\n  20 -> 34 [size =\"36993024\"]\n  20 -> 38 [size =\"36993024\"]\n  20 -> 42 [size =\"36993024\"]\n  20 -> 43 [size =\"36993024\"]\n  20 -> 45 [size =\"36993024\"]\n  21 [size=\"76879872\", alpha=\"0.15\", expect_size=\"38439936\"] \n  21 -> 28 [size =\"38439936\"]\n  21 -> 29 [size =\"38439936\"]\n  21 -> 30 [size =\"38439936\"]\n  21 -> 32 [size =\"38439936\"]\n  21 -> 38 [size =\"38439936\"]\n  21 -> 42 [size =\"38439936\"]\n  21 -> 43 [size =\"38439936\"]\n  21 -> 45 [size =\"38439936\"]\n  22 [size=\"30877696\", alpha=\"0.07\", expect_size=\"15438848\"] \n  22 -> 29 [size =\"15438848\"]\n  22 -> 29 [size =\"15438848\"]\n  22 -> 31 [size =\"15438848\"]\n  22 -> 36 [size =\"15438848\"]\n  22 -> 37 [size =\"15438848\"]\n  22 -> 38 [size =\"15438848\"]\n  22 -> 39 [size =\"15438848\"]\n  22 -> 41 [size =\"15438848\"]\n  22 -> 42 [size =\"15438848\"]\n  22 -> 43 [size =\"15438848\"]\n  22 -> 45 [size =\"15438848\"]\n  23 [size=\"15884288\", alpha=\"0.06\", expect_size=\"7942144\"] \n  23 -> 29 [size =\"7942144\"]\n  23 -> 31 [size =\"7942144\"]\n  23 -> 32 [size =\"7942144\"]\n  23 -> 33 [size =\"7942144\"]\n  23 -> 37 [size =\"7942144\"]\n  23 -> 38 [size =\"7942144\"]\n  23 -> 39 [size =\"7942144\"]\n  23 -> 40 [size =\"7942144\"]\n  23 -> 41 [size =\"7942144\"]\n  23 -> 42 [size =\"7942144\"]\n  23 -> 43 [size =\"7942144\"]\n  23 -> 45 [size =\"7942144\"]\n  24 [size=\"32106496\", alpha=\"0.10\", expect_size=\"16053248\"] \n  24 -> 28 [size =\"16053248\"]\n  24 -> 29 [size =\"16053248\"]\n  24 -> 37 [size =\"16053248\"]\n  24 -> 38 [size =\"16053248\"]\n  24 -> 39 [size =\"16053248\"]\n  24 -> 41 [size =\"16053248\"]\n  24 -> 42 [size =\"16053248\"]\n  24 -> 43 [size =\"16053248\"]\n  24 -> 45 [size =\"16053248\"]\n  25 [size=\"14667776\", alpha=\"0.05\", expect_size=\"7333888\"] \n  25 -> 28 [size =\"7333888\"]\n  25 -> 29 [size =\"7333888\"]\n  25 -> 37 [size =\"7333888\"]\n  25 -> 39 [size =\"7333888\"]\n  25 -> 41 [size =\"7333888\"]\n  25 -> 41 [size =\"7333888\"]\n  25 -> 42 [size =\"7333888\"]\n  25 -> 43 [size =\"7333888\"]\n  26 [size=\"31948800\", alpha=\"0.14\", expect_size=\"15974400\"] \n  26 -> 28 [size =\"15974400\"]\n  26 -> 29 [size =\"15974400\"]\n  26 -> 32 [size =\"15974400\"]\n  26 -> 33 [size =\"15974400\"]\n  26 -> 34 [size =\"15974400\"]\n  26 -> 35 [size =\"15974400\"]\n  26 -> 37 [size =\"15974400\"]\n  26 -> 38 [size =\"15974400\"]\n  26 -> 41 [size =\"15974400\"]\n  26 -> 42 [size =\"15974400\"]\n  26 -> 43 [size =\"15974400\"]\n  27 [size=\"75681792\", alpha=\"0.15\", expect_size=\"37840896\"] \n  27 -> 28 [size =\"37840896\"]\n  27 -> 29 [size =\"37840896\"]\n  27 -> 31 [size =\"37840896\"]\n  27 -> 33 [size =\"37840896\"]\n  27 -> 37 [size =\"37840896\"]\n  27 -> 38 [size =\"37840896\"]\n  27 -> 41 [size =\"37840896\"]\n  27 -> 42 [size =\"37840896\"]\n  27 -> 43 [size =\"37840896\"]\n  28 [size=\"50046976\", alpha=\"0.00\", expect_size=\"25023488\"] \n  29 [size=\"74641408\", alpha=\"0.11\", expect_size=\"37320704\"] \n  30 [size=\"13729792\", alpha=\"0.01\", expect_size=\"6864896\"] \n  31 [size=\"31256576\", alpha=\"0.06\", expect_size=\"15628288\"] \n  32 [size=\"99801088\", alpha=\"0.07\", expect_size=\"49900544\"] \n  33 [size=\"37945344\", alpha=\"0.08\", expect_size=\"18972672\"] \n  34 [size=\"67596288\", alpha=\"0.16\", expect_size=\"33798144\"] \n  35 [size=\"20463616\", alpha=\"0.18\", expect_size=\"10231808\"] \n  36 [size=\"42375168\", alpha=\"0.03\", expect_size=\"21187584\"] \n  37 [size=\"12945408\", alpha=\"0.12\", expect_size=\"6472704\"] \n  38 [size=\"83298304\", alpha=\"0.01\", expect_size=\"41649152\"] \n  39 [size=\"85071872\", alpha=\"0.03\", expect_size=\"42535936\"] \n  40 [size=\"44345344\", alpha=\"0.20\", expect_size=\"22172672\"] \n  41 [size=\"47984640\", alpha=\"0.10\", expect_size=\"23992320\"] \n  42 [size=\"78401536\", alpha=\"0.05\", expect_size=\"39200768\"] \n  43 [size=\"19111936\", alpha=\"0.01\", expect_size=\"9555968\"] \n  44 [size=\"55252992\", alpha=\"0.01\", expect_size=\"27626496\"] \n  45 [size=\"36567040\", alpha=\"0.03\", expect_size=\"18283520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108794880\", alpha=\"0.16\", expect_size=\"43517952\"] \n  1 -> 27 [size =\"43517952\"]\n  1 -> 29 [size =\"43517952\"]\n  1 -> 31 [size =\"43517952\"]\n  1 -> 32 [size =\"43517952\"]\n  1 -> 33 [size =\"43517952\"]\n  1 -> 35 [size =\"43517952\"]\n  1 -> 38 [size =\"43517952\"]\n  1 -> 39 [size =\"43517952\"]\n  1 -> 40 [size =\"43517952\"]\n  1 -> 41 [size =\"43517952\"]\n  1 -> 42 [size =\"43517952\"]\n  2 [size=\"73858560\", alpha=\"0.16\", expect_size=\"29543424\"] \n  2 -> 27 [size =\"29543424\"]\n  2 -> 30 [size =\"29543424\"]\n  2 -> 32 [size =\"29543424\"]\n  2 -> 32 [size =\"29543424\"]\n  2 -> 33 [size =\"29543424\"]\n  2 -> 35 [size =\"29543424\"]\n  2 -> 42 [size =\"29543424\"]\n  2 -> 45 [size =\"29543424\"]\n  3 [size=\"126021120\", alpha=\"0.19\", expect_size=\"50408448\"] \n  3 -> 27 [size =\"50408448\"]\n  3 -> 35 [size =\"50408448\"]\n  3 -> 38 [size =\"50408448\"]\n  3 -> 39 [size =\"50408448\"]\n  3 -> 40 [size =\"50408448\"]\n  3 -> 41 [size =\"50408448\"]\n  3 -> 44 [size =\"50408448\"]\n  4 [size=\"76147200\", alpha=\"0.08\", expect_size=\"30458880\"] \n  4 -> 35 [size =\"30458880\"]\n  4 -> 39 [size =\"30458880\"]\n  4 -> 41 [size =\"30458880\"]\n  4 -> 42 [size =\"30458880\"]\n  4 -> 43 [size =\"30458880\"]\n  4 -> 44 [size =\"30458880\"]\n  5 [size=\"74562560\", alpha=\"0.15\", expect_size=\"29825024\"] \n  5 -> 26 [size =\"29825024\"]\n  5 -> 32 [size =\"29825024\"]\n  5 -> 33 [size =\"29825024\"]\n  5 -> 35 [size =\"29825024\"]\n  5 -> 39 [size =\"29825024\"]\n  5 -> 40 [size =\"29825024\"]\n  5 -> 45 [size =\"29825024\"]\n  6 [size=\"41863680\", alpha=\"0.10\", expect_size=\"16745472\"] \n  6 -> 27 [size =\"16745472\"]\n  6 -> 31 [size =\"16745472\"]\n  6 -> 35 [size =\"16745472\"]\n  6 -> 38 [size =\"16745472\"]\n  6 -> 39 [size =\"16745472\"]\n  6 -> 42 [size =\"16745472\"]\n  6 -> 43 [size =\"16745472\"]\n  6 -> 44 [size =\"16745472\"]\n  6 -> 45 [size =\"16745472\"]\n  7 [size=\"99827200\", alpha=\"0.12\", expect_size=\"39930880\"] \n  7 -> 27 [size =\"39930880\"]\n  7 -> 29 [size =\"39930880\"]\n  7 -> 31 [size =\"39930880\"]\n  7 -> 32 [size =\"39930880\"]\n  7 -> 33 [size =\"39930880\"]\n  7 -> 38 [size =\"39930880\"]\n  7 -> 39 [size =\"39930880\"]\n  7 -> 42 [size =\"39930880\"]\n  7 -> 45 [size =\"39930880\"]\n  8 [size=\"124549120\", alpha=\"0.13\", expect_size=\"49819648\"] \n  8 -> 27 [size =\"49819648\"]\n  8 -> 31 [size =\"49819648\"]\n  8 -> 31 [size =\"49819648\"]\n  8 -> 32 [size =\"49819648\"]\n  8 -> 43 [size =\"49819648\"]\n  8 -> 45 [size =\"49819648\"]\n  9 [size=\"93271040\", alpha=\"0.13\", expect_size=\"37308416\"] \n  9 -> 27 [size =\"37308416\"]\n  9 -> 29 [size =\"37308416\"]\n  9 -> 31 [size =\"37308416\"]\n  9 -> 37 [size =\"37308416\"]\n  9 -> 39 [size =\"37308416\"]\n  9 -> 42 [size =\"37308416\"]\n  9 -> 44 [size =\"37308416\"]\n  9 -> 45 [size =\"37308416\"]\n  10 [size=\"75407360\", alpha=\"0.18\", expect_size=\"30162944\"] \n  10 -> 28 [size =\"30162944\"]\n  10 -> 31 [size =\"30162944\"]\n  10 -> 31 [size =\"30162944\"]\n  10 -> 32 [size =\"30162944\"]\n  10 -> 39 [size =\"30162944\"]\n  10 -> 40 [size =\"30162944\"]\n  10 -> 41 [size =\"30162944\"]\n  10 -> 45 [size =\"30162944\"]\n  11 [size=\"41771520\", alpha=\"0.00\", expect_size=\"16708608\"] \n  11 -> 30 [size =\"16708608\"]\n  11 -> 31 [size =\"16708608\"]\n  11 -> 33 [size =\"16708608\"]\n  11 -> 34 [size =\"16708608\"]\n  11 -> 35 [size =\"16708608\"]\n  11 -> 38 [size =\"16708608\"]\n  11 -> 39 [size =\"16708608\"]\n  11 -> 41 [size =\"16708608\"]\n  11 -> 45 [size =\"16708608\"]\n  12 [size=\"19919360\", alpha=\"0.11\", expect_size=\"7967744\"] \n  12 -> 26 [size =\"7967744\"]\n  12 -> 30 [size =\"7967744\"]\n  12 -> 31 [size =\"7967744\"]\n  12 -> 35 [size =\"7967744\"]\n  12 -> 39 [size =\"7967744\"]\n  12 -> 41 [size =\"7967744\"]\n  12 -> 42 [size =\"7967744\"]\n  13 [size=\"111882240\", alpha=\"0.11\", expect_size=\"44752896\"] \n  13 -> 27 [size =\"44752896\"]\n  13 -> 29 [size =\"44752896\"]\n  13 -> 31 [size =\"44752896\"]\n  13 -> 32 [size =\"44752896\"]\n  13 -> 33 [size =\"44752896\"]\n  13 -> 35 [size =\"44752896\"]\n  13 -> 39 [size =\"44752896\"]\n  13 -> 41 [size =\"44752896\"]\n  13 -> 45 [size =\"44752896\"]\n  14 [size=\"106816000\", alpha=\"0.20\", expect_size=\"42726400\"] \n  14 -> 30 [size =\"42726400\"]\n  14 -> 31 [size =\"42726400\"]\n  14 -> 32 [size =\"42726400\"]\n  14 -> 33 [size =\"42726400\"]\n  14 -> 33 [size =\"42726400\"]\n  14 -> 39 [size =\"42726400\"]\n  14 -> 41 [size =\"42726400\"]\n  14 -> 41 [size =\"42726400\"]\n  14 -> 45 [size =\"42726400\"]\n  15 [size=\"34498560\", alpha=\"0.05\", expect_size=\"13799424\"] \n  15 -> 29 [size =\"13799424\"]\n  15 -> 32 [size =\"13799424\"]\n  15 -> 32 [size =\"13799424\"]\n  15 -> 33 [size =\"13799424\"]\n  15 -> 35 [size =\"13799424\"]\n  15 -> 39 [size =\"13799424\"]\n  15 -> 40 [size =\"13799424\"]\n  15 -> 44 [size =\"13799424\"]\n  16 [size=\"121139200\", alpha=\"0.19\", expect_size=\"48455680\"] \n  16 -> 27 [size =\"48455680\"]\n  16 -> 32 [size =\"48455680\"]\n  16 -> 33 [size =\"48455680\"]\n  16 -> 33 [size =\"48455680\"]\n  16 -> 35 [size =\"48455680\"]\n  16 -> 38 [size =\"48455680\"]\n  16 -> 41 [size =\"48455680\"]\n  16 -> 42 [size =\"48455680\"]\n  16 -> 44 [size =\"48455680\"]\n  16 -> 45 [size =\"48455680\"]\n  17 [size=\"60285440\", alpha=\"0.06\", expect_size=\"24114176\"] \n  17 -> 27 [size =\"24114176\"]\n  17 -> 30 [size =\"24114176\"]\n  17 -> 31 [size =\"24114176\"]\n  17 -> 33 [size =\"24114176\"]\n  17 -> 35 [size =\"24114176\"]\n  17 -> 37 [size =\"24114176\"]\n  17 -> 41 [size =\"24114176\"]\n  17 -> 42 [size =\"24114176\"]\n  17 -> 44 [size =\"24114176\"]\n  18 [size=\"14548480\", alpha=\"0.05\", expect_size=\"5819392\"] \n  18 -> 27 [size =\"5819392\"]\n  18 -> 33 [size =\"5819392\"]\n  18 -> 35 [size =\"5819392\"]\n  18 -> 42 [size =\"5819392\"]\n  19 [size=\"92551680\", alpha=\"0.05\", expect_size=\"37020672\"] \n  19 -> 26 [size =\"37020672\"]\n  19 -> 27 [size =\"37020672\"]\n  19 -> 29 [size =\"37020672\"]\n  19 -> 32 [size =\"37020672\"]\n  19 -> 33 [size =\"37020672\"]\n  19 -> 39 [size =\"37020672\"]\n  19 -> 41 [size =\"37020672\"]\n  19 -> 42 [size =\"37020672\"]\n  20 [size=\"49098240\", alpha=\"0.16\", expect_size=\"19639296\"] \n  20 -> 27 [size =\"19639296\"]\n  20 -> 29 [size =\"19639296\"]\n  20 -> 32 [size =\"19639296\"]\n  20 -> 33 [size =\"19639296\"]\n  20 -> 35 [size =\"19639296\"]\n  20 -> 39 [size =\"19639296\"]\n  20 -> 41 [size =\"19639296\"]\n  21 [size=\"37864960\", alpha=\"0.03\", expect_size=\"15145984\"] \n  21 -> 26 [size =\"15145984\"]\n  21 -> 30 [size =\"15145984\"]\n  21 -> 31 [size =\"15145984\"]\n  21 -> 33 [size =\"15145984\"]\n  21 -> 35 [size =\"15145984\"]\n  21 -> 40 [size =\"15145984\"]\n  21 -> 41 [size =\"15145984\"]\n  21 -> 42 [size =\"15145984\"]\n  21 -> 44 [size =\"15145984\"]\n  22 [size=\"40430080\", alpha=\"0.00\", expect_size=\"16172032\"] \n  22 -> 26 [size =\"16172032\"]\n  22 -> 29 [size =\"16172032\"]\n  22 -> 31 [size =\"16172032\"]\n  22 -> 35 [size =\"16172032\"]\n  22 -> 39 [size =\"16172032\"]\n  22 -> 42 [size =\"16172032\"]\n  22 -> 44 [size =\"16172032\"]\n  23 [size=\"107233280\", alpha=\"0.17\", expect_size=\"42893312\"] \n  23 -> 26 [size =\"42893312\"]\n  23 -> 28 [size =\"42893312\"]\n  23 -> 35 [size =\"42893312\"]\n  23 -> 43 [size =\"42893312\"]\n  24 [size=\"55260160\", alpha=\"0.04\", expect_size=\"22104064\"] \n  24 -> 29 [size =\"22104064\"]\n  24 -> 30 [size =\"22104064\"]\n  24 -> 31 [size =\"22104064\"]\n  24 -> 40 [size =\"22104064\"]\n  24 -> 42 [size =\"22104064\"]\n  24 -> 44 [size =\"22104064\"]\n  24 -> 45 [size =\"22104064\"]\n  25 [size=\"54927360\", alpha=\"0.01\", expect_size=\"21970944\"] \n  25 -> 27 [size =\"21970944\"]\n  25 -> 28 [size =\"21970944\"]\n  25 -> 30 [size =\"21970944\"]\n  25 -> 31 [size =\"21970944\"]\n  25 -> 33 [size =\"21970944\"]\n  25 -> 35 [size =\"21970944\"]\n  25 -> 36 [size =\"21970944\"]\n  25 -> 38 [size =\"21970944\"]\n  26 [size=\"87347200\", alpha=\"0.04\", expect_size=\"34938880\"] \n  27 [size=\"79155200\", alpha=\"0.01\", expect_size=\"31662080\"] \n  28 [size=\"113510400\", alpha=\"0.17\", expect_size=\"45404160\"] \n  29 [size=\"27143680\", alpha=\"0.07\", expect_size=\"10857472\"] \n  30 [size=\"54924800\", alpha=\"0.07\", expect_size=\"21969920\"] \n  31 [size=\"28792320\", alpha=\"0.12\", expect_size=\"11516928\"] \n  32 [size=\"44428800\", alpha=\"0.19\", expect_size=\"17771520\"] \n  33 [size=\"44625920\", alpha=\"0.02\", expect_size=\"17850368\"] \n  34 [size=\"24332800\", alpha=\"0.01\", expect_size=\"9733120\"] \n  35 [size=\"46589440\", alpha=\"0.03\", expect_size=\"18635776\"] \n  36 [size=\"54891520\", alpha=\"0.04\", expect_size=\"21956608\"] \n  37 [size=\"77990400\", alpha=\"0.13\", expect_size=\"31196160\"] \n  38 [size=\"84648960\", alpha=\"0.02\", expect_size=\"33859584\"] \n  39 [size=\"68341760\", alpha=\"0.04\", expect_size=\"27336704\"] \n  40 [size=\"109235200\", alpha=\"0.13\", expect_size=\"43694080\"] \n  41 [size=\"33699840\", alpha=\"0.06\", expect_size=\"13479936\"] \n  42 [size=\"106332160\", alpha=\"0.03\", expect_size=\"42532864\"] \n  43 [size=\"98014720\", alpha=\"0.17\", expect_size=\"39205888\"] \n  44 [size=\"107525120\", alpha=\"0.18\", expect_size=\"43010048\"] \n  45 [size=\"110609920\", alpha=\"0.05\", expect_size=\"44243968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106656427\", alpha=\"0.19\", expect_size=\"31996928\"] \n  1 -> 11 [size =\"31996928\"]\n  1 -> 11 [size =\"31996928\"]\n  2 [size=\"73543680\", alpha=\"0.10\", expect_size=\"22063104\"] \n  2 -> 8 [size =\"22063104\"]\n  2 -> 10 [size =\"22063104\"]\n  3 [size=\"17756160\", alpha=\"0.02\", expect_size=\"5326848\"] \n  3 -> 12 [size =\"5326848\"]\n  4 [size=\"138431147\", alpha=\"0.16\", expect_size=\"41529344\"] \n  4 -> 9 [size =\"41529344\"]\n  4 -> 12 [size =\"41529344\"]\n  4 -> 13 [size =\"41529344\"]\n  5 [size=\"76533760\", alpha=\"0.10\", expect_size=\"22960128\"] \n  5 -> 12 [size =\"22960128\"]\n  5 -> 13 [size =\"22960128\"]\n  6 [size=\"124627627\", alpha=\"0.02\", expect_size=\"37388288\"] \n  6 -> 11 [size =\"37388288\"]\n  7 [size=\"31914667\", alpha=\"0.06\", expect_size=\"9574400\"] \n  7 -> 8 [size =\"9574400\"]\n  7 -> 11 [size =\"9574400\"]\n  7 -> 12 [size =\"9574400\"]\n  8 [size=\"119186773\", alpha=\"0.06\", expect_size=\"35756032\"] \n  8 -> 15 [size =\"35756032\"]\n  8 -> 16 [size =\"35756032\"]\n  9 [size=\"46646613\", alpha=\"0.01\", expect_size=\"13993984\"] \n  10 [size=\"153647787\", alpha=\"0.07\", expect_size=\"46094336\"] \n  11 [size=\"54043307\", alpha=\"0.20\", expect_size=\"16212992\"] \n  11 -> 15 [size =\"16212992\"]\n  11 -> 18 [size =\"16212992\"]\n  12 [size=\"49759573\", alpha=\"0.05\", expect_size=\"14927872\"] \n  12 -> 14 [size =\"14927872\"]\n  12 -> 15 [size =\"14927872\"]\n  12 -> 16 [size =\"14927872\"]\n  12 -> 17 [size =\"14927872\"]\n  13 [size=\"126347947\", alpha=\"0.09\", expect_size=\"37904384\"] \n  13 -> 14 [size =\"37904384\"]\n  13 -> 16 [size =\"37904384\"]\n  14 [size=\"141103787\", alpha=\"0.19\", expect_size=\"42331136\"] \n  14 -> 20 [size =\"42331136\"]\n  14 -> 21 [size =\"42331136\"]\n  15 [size=\"110230187\", alpha=\"0.19\", expect_size=\"33069056\"] \n  15 -> 22 [size =\"33069056\"]\n  15 -> 23 [size =\"33069056\"]\n  16 [size=\"33730560\", alpha=\"0.08\", expect_size=\"10119168\"] \n  16 -> 24 [size =\"10119168\"]\n  17 [size=\"51896320\", alpha=\"0.15\", expect_size=\"15568896\"] \n  17 -> 19 [size =\"15568896\"]\n  17 -> 21 [size =\"15568896\"]\n  17 -> 22 [size =\"15568896\"]\n  17 -> 24 [size =\"15568896\"]\n  18 [size=\"101024427\", alpha=\"0.10\", expect_size=\"30307328\"] \n  18 -> 20 [size =\"30307328\"]\n  18 -> 21 [size =\"30307328\"]\n  18 -> 23 [size =\"30307328\"]\n  19 [size=\"148578987\", alpha=\"0.14\", expect_size=\"44573696\"] \n  19 -> 25 [size =\"44573696\"]\n  20 [size=\"157986133\", alpha=\"0.17\", expect_size=\"47395840\"] \n  20 -> 26 [size =\"47395840\"]\n  21 [size=\"52111360\", alpha=\"0.12\", expect_size=\"15633408\"] \n  21 -> 28 [size =\"15633408\"]\n  21 -> 29 [size =\"15633408\"]\n  21 -> 30 [size =\"15633408\"]\n  22 [size=\"50537813\", alpha=\"0.13\", expect_size=\"15161344\"] \n  22 -> 25 [size =\"15161344\"]\n  22 -> 26 [size =\"15161344\"]\n  22 -> 27 [size =\"15161344\"]\n  22 -> 29 [size =\"15161344\"]\n  22 -> 30 [size =\"15161344\"]\n  23 [size=\"86920533\", alpha=\"0.14\", expect_size=\"26076160\"] \n  23 -> 28 [size =\"26076160\"]\n  23 -> 29 [size =\"26076160\"]\n  23 -> 30 [size =\"26076160\"]\n  24 [size=\"154460160\", alpha=\"0.11\", expect_size=\"46338048\"] \n  24 -> 25 [size =\"46338048\"]\n  24 -> 29 [size =\"46338048\"]\n  25 [size=\"150220800\", alpha=\"0.16\", expect_size=\"45066240\"] \n  25 -> 32 [size =\"45066240\"]\n  25 -> 33 [size =\"45066240\"]\n  25 -> 34 [size =\"45066240\"]\n  25 -> 36 [size =\"45066240\"]\n  26 [size=\"141410987\", alpha=\"0.14\", expect_size=\"42423296\"] \n  26 -> 31 [size =\"42423296\"]\n  26 -> 32 [size =\"42423296\"]\n  26 -> 33 [size =\"42423296\"]\n  26 -> 36 [size =\"42423296\"]\n  27 [size=\"44168533\", alpha=\"0.14\", expect_size=\"13250560\"] \n  27 -> 31 [size =\"13250560\"]\n  27 -> 32 [size =\"13250560\"]\n  27 -> 33 [size =\"13250560\"]\n  27 -> 34 [size =\"13250560\"]\n  27 -> 37 [size =\"13250560\"]\n  28 [size=\"160945493\", alpha=\"0.06\", expect_size=\"48283648\"] \n  28 -> 31 [size =\"48283648\"]\n  28 -> 32 [size =\"48283648\"]\n  28 -> 33 [size =\"48283648\"]\n  28 -> 37 [size =\"48283648\"]\n  29 [size=\"85350400\", alpha=\"0.03\", expect_size=\"25605120\"] \n  29 -> 35 [size =\"25605120\"]\n  30 [size=\"40103253\", alpha=\"0.17\", expect_size=\"12030976\"] \n  30 -> 34 [size =\"12030976\"]\n  30 -> 36 [size =\"12030976\"]\n  30 -> 37 [size =\"12030976\"]\n  31 [size=\"18278400\", alpha=\"0.15\", expect_size=\"5483520\"] \n  32 [size=\"109056000\", alpha=\"0.18\", expect_size=\"32716800\"] \n  32 -> 40 [size =\"32716800\"]\n  32 -> 41 [size =\"32716800\"]\n  33 [size=\"53934080\", alpha=\"0.14\", expect_size=\"16180224\"] \n  33 -> 38 [size =\"16180224\"]\n  33 -> 40 [size =\"16180224\"]\n  33 -> 42 [size =\"16180224\"]\n  34 [size=\"167761920\", alpha=\"0.06\", expect_size=\"50328576\"] \n  34 -> 38 [size =\"50328576\"]\n  34 -> 39 [size =\"50328576\"]\n  34 -> 40 [size =\"50328576\"]\n  35 [size=\"99642027\", alpha=\"0.10\", expect_size=\"29892608\"] \n  35 -> 38 [size =\"29892608\"]\n  35 -> 40 [size =\"29892608\"]\n  36 [size=\"65918293\", alpha=\"0.16\", expect_size=\"19775488\"] \n  36 -> 39 [size =\"19775488\"]\n  36 -> 40 [size =\"19775488\"]\n  36 -> 42 [size =\"19775488\"]\n  37 [size=\"173745493\", alpha=\"0.06\", expect_size=\"52123648\"] \n  37 -> 38 [size =\"52123648\"]\n  37 -> 41 [size =\"52123648\"]\n  38 [size=\"122992640\", alpha=\"0.07\", expect_size=\"36897792\"] \n  39 [size=\"172656640\", alpha=\"0.05\", expect_size=\"51796992\"] \n  39 -> 45 [size =\"51796992\"]\n  40 [size=\"37331627\", alpha=\"0.00\", expect_size=\"11199488\"] \n  40 -> 44 [size =\"11199488\"]\n  40 -> 45 [size =\"11199488\"]\n  41 [size=\"167768747\", alpha=\"0.00\", expect_size=\"50330624\"] \n  41 -> 44 [size =\"50330624\"]\n  42 [size=\"128669013\", alpha=\"0.04\", expect_size=\"38600704\"] \n  42 -> 43 [size =\"38600704\"]\n  42 -> 44 [size =\"38600704\"]\n  43 [size=\"109612373\", alpha=\"0.17\", expect_size=\"32883712\"] \n  44 [size=\"62177280\", alpha=\"0.08\", expect_size=\"18653184\"] \n  45 [size=\"109998080\", alpha=\"0.15\", expect_size=\"32999424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34697216\", alpha=\"0.03\", expect_size=\"17348608\"] \n  1 -> 2 [size =\"17348608\"]\n  2 [size=\"15325184\", alpha=\"0.06\", expect_size=\"7662592\"] \n  2 -> 3 [size =\"7662592\"]\n  3 [size=\"64114688\", alpha=\"0.14\", expect_size=\"32057344\"] \n  3 -> 4 [size =\"32057344\"]\n  4 [size=\"56549376\", alpha=\"0.16\", expect_size=\"28274688\"] \n  4 -> 5 [size =\"28274688\"]\n  5 [size=\"104415232\", alpha=\"0.06\", expect_size=\"52207616\"] \n  5 -> 6 [size =\"52207616\"]\n  6 [size=\"35491840\", alpha=\"0.10\", expect_size=\"17745920\"] \n  6 -> 7 [size =\"17745920\"]\n  7 [size=\"95328256\", alpha=\"0.02\", expect_size=\"47664128\"] \n  7 -> 8 [size =\"47664128\"]\n  8 [size=\"18110464\", alpha=\"0.04\", expect_size=\"9055232\"] \n  8 -> 9 [size =\"9055232\"]\n  9 [size=\"78307328\", alpha=\"0.02\", expect_size=\"39153664\"] \n  9 -> 10 [size =\"39153664\"]\n  10 [size=\"90466304\", alpha=\"0.01\", expect_size=\"45233152\"] \n  10 -> 11 [size =\"45233152\"]\n  11 [size=\"63905792\", alpha=\"0.13\", expect_size=\"31952896\"] \n  11 -> 12 [size =\"31952896\"]\n  12 [size=\"80394240\", alpha=\"0.03\", expect_size=\"40197120\"] \n  12 -> 13 [size =\"40197120\"]\n  13 [size=\"14440448\", alpha=\"0.14\", expect_size=\"7220224\"] \n  13 -> 14 [size =\"7220224\"]\n  14 [size=\"82325504\", alpha=\"0.04\", expect_size=\"41162752\"] \n  14 -> 15 [size =\"41162752\"]\n  15 [size=\"62715904\", alpha=\"0.08\", expect_size=\"31357952\"] \n  15 -> 16 [size =\"31357952\"]\n  16 [size=\"89903104\", alpha=\"0.13\", expect_size=\"44951552\"] \n  16 -> 17 [size =\"44951552\"]\n  17 [size=\"41803776\", alpha=\"0.18\", expect_size=\"20901888\"] \n  17 -> 18 [size =\"20901888\"]\n  18 [size=\"50262016\", alpha=\"0.01\", expect_size=\"25131008\"] \n  18 -> 19 [size =\"25131008\"]\n  19 [size=\"66992128\", alpha=\"0.17\", expect_size=\"33496064\"] \n  19 -> 20 [size =\"33496064\"]\n  20 [size=\"76087296\", alpha=\"0.08\", expect_size=\"38043648\"] \n  20 -> 21 [size =\"38043648\"]\n  21 [size=\"81567744\", alpha=\"0.03\", expect_size=\"40783872\"] \n  21 -> 22 [size =\"40783872\"]\n  22 [size=\"47159296\", alpha=\"0.00\", expect_size=\"23579648\"] \n  22 -> 23 [size =\"23579648\"]\n  23 [size=\"60438528\", alpha=\"0.09\", expect_size=\"30219264\"] \n  23 -> 24 [size =\"30219264\"]\n  24 [size=\"34271232\", alpha=\"0.07\", expect_size=\"17135616\"] \n  24 -> 25 [size =\"17135616\"]\n  25 [size=\"52989952\", alpha=\"0.05\", expect_size=\"26494976\"] \n  25 -> 26 [size =\"26494976\"]\n  26 [size=\"92770304\", alpha=\"0.08\", expect_size=\"46385152\"] \n  26 -> 27 [size =\"46385152\"]\n  27 [size=\"59588608\", alpha=\"0.09\", expect_size=\"29794304\"] \n  27 -> 28 [size =\"29794304\"]\n  28 [size=\"50059264\", alpha=\"0.12\", expect_size=\"25029632\"] \n  28 -> 29 [size =\"25029632\"]\n  29 [size=\"56608768\", alpha=\"0.10\", expect_size=\"28304384\"] \n  29 -> 30 [size =\"28304384\"]\n  30 [size=\"41101312\", alpha=\"0.04\", expect_size=\"20550656\"] \n  30 -> 31 [size =\"20550656\"]\n  31 [size=\"76582912\", alpha=\"0.09\", expect_size=\"38291456\"] \n  31 -> 32 [size =\"38291456\"]\n  32 [size=\"92895232\", alpha=\"0.10\", expect_size=\"46447616\"] \n  32 -> 33 [size =\"46447616\"]\n  33 [size=\"94881792\", alpha=\"0.11\", expect_size=\"47440896\"] \n  33 -> 34 [size =\"47440896\"]\n  34 [size=\"41799680\", alpha=\"0.07\", expect_size=\"20899840\"] \n  34 -> 35 [size =\"20899840\"]\n  35 [size=\"74086400\", alpha=\"0.15\", expect_size=\"37043200\"] \n  35 -> 36 [size =\"37043200\"]\n  36 [size=\"96929792\", alpha=\"0.19\", expect_size=\"48464896\"] \n  36 -> 37 [size =\"48464896\"]\n  37 [size=\"40966144\", alpha=\"0.10\", expect_size=\"20483072\"] \n  37 -> 38 [size =\"20483072\"]\n  38 [size=\"85405696\", alpha=\"0.09\", expect_size=\"42702848\"] \n  38 -> 39 [size =\"42702848\"]\n  39 [size=\"49135616\", alpha=\"0.01\", expect_size=\"24567808\"] \n  39 -> 40 [size =\"24567808\"]\n  40 [size=\"94347264\", alpha=\"0.06\", expect_size=\"47173632\"] \n  40 -> 41 [size =\"47173632\"]\n  41 [size=\"17907712\", alpha=\"0.06\", expect_size=\"8953856\"] \n  41 -> 42 [size =\"8953856\"]\n  42 [size=\"61980672\", alpha=\"0.15\", expect_size=\"30990336\"] \n  42 -> 43 [size =\"30990336\"]\n  43 [size=\"13361152\", alpha=\"0.13\", expect_size=\"6680576\"] \n  43 -> 44 [size =\"6680576\"]\n  44 [size=\"64749568\", alpha=\"0.17\", expect_size=\"32374784\"] \n  44 -> 45 [size =\"32374784\"]\n  45 [size=\"99241984\", alpha=\"0.10\", expect_size=\"49620992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13670400\", alpha=\"0.02\", expect_size=\"5468160\"] \n  1 -> 2 [size =\"5468160\"]\n  2 [size=\"111892480\", alpha=\"0.01\", expect_size=\"44756992\"] \n  2 -> 3 [size =\"44756992\"]\n  3 [size=\"14274560\", alpha=\"0.08\", expect_size=\"5709824\"] \n  3 -> 4 [size =\"5709824\"]\n  4 [size=\"34846720\", alpha=\"0.19\", expect_size=\"13938688\"] \n  4 -> 5 [size =\"13938688\"]\n  5 [size=\"27860480\", alpha=\"0.02\", expect_size=\"11144192\"] \n  5 -> 6 [size =\"11144192\"]\n  6 [size=\"76618240\", alpha=\"0.05\", expect_size=\"30647296\"] \n  6 -> 7 [size =\"30647296\"]\n  7 [size=\"30138880\", alpha=\"0.18\", expect_size=\"12055552\"] \n  7 -> 8 [size =\"12055552\"]\n  8 [size=\"32993280\", alpha=\"0.05\", expect_size=\"13197312\"] \n  8 -> 9 [size =\"13197312\"]\n  9 [size=\"100597760\", alpha=\"0.03\", expect_size=\"40239104\"] \n  9 -> 10 [size =\"40239104\"]\n  10 [size=\"110758400\", alpha=\"0.07\", expect_size=\"44303360\"] \n  10 -> 11 [size =\"44303360\"]\n  11 [size=\"26183680\", alpha=\"0.03\", expect_size=\"10473472\"] \n  11 -> 12 [size =\"10473472\"]\n  12 [size=\"38771200\", alpha=\"0.14\", expect_size=\"15508480\"] \n  12 -> 13 [size =\"15508480\"]\n  13 [size=\"46080000\", alpha=\"0.10\", expect_size=\"18432000\"] \n  13 -> 14 [size =\"18432000\"]\n  14 [size=\"92321280\", alpha=\"0.03\", expect_size=\"36928512\"] \n  14 -> 15 [size =\"36928512\"]\n  15 [size=\"84185600\", alpha=\"0.19\", expect_size=\"33674240\"] \n  15 -> 16 [size =\"33674240\"]\n  16 [size=\"98490880\", alpha=\"0.01\", expect_size=\"39396352\"] \n  16 -> 17 [size =\"39396352\"]\n  17 [size=\"126423040\", alpha=\"0.10\", expect_size=\"50569216\"] \n  17 -> 18 [size =\"50569216\"]\n  18 [size=\"113720320\", alpha=\"0.03\", expect_size=\"45488128\"] \n  18 -> 19 [size =\"45488128\"]\n  19 [size=\"26634240\", alpha=\"0.07\", expect_size=\"10653696\"] \n  19 -> 20 [size =\"10653696\"]\n  20 [size=\"42728960\", alpha=\"0.12\", expect_size=\"17091584\"] \n  20 -> 21 [size =\"17091584\"]\n  21 [size=\"85427200\", alpha=\"0.17\", expect_size=\"34170880\"] \n  21 -> 22 [size =\"34170880\"]\n  22 [size=\"100700160\", alpha=\"0.18\", expect_size=\"40280064\"] \n  22 -> 23 [size =\"40280064\"]\n  23 [size=\"67709440\", alpha=\"0.00\", expect_size=\"27083776\"] \n  23 -> 24 [size =\"27083776\"]\n  24 [size=\"127577600\", alpha=\"0.06\", expect_size=\"51031040\"] \n  24 -> 25 [size =\"51031040\"]\n  25 [size=\"28643840\", alpha=\"0.13\", expect_size=\"11457536\"] \n  25 -> 26 [size =\"11457536\"]\n  26 [size=\"25175040\", alpha=\"0.12\", expect_size=\"10070016\"] \n  26 -> 27 [size =\"10070016\"]\n  27 [size=\"29457920\", alpha=\"0.14\", expect_size=\"11783168\"] \n  27 -> 28 [size =\"11783168\"]\n  28 [size=\"87042560\", alpha=\"0.19\", expect_size=\"34817024\"] \n  28 -> 29 [size =\"34817024\"]\n  29 [size=\"106961920\", alpha=\"0.18\", expect_size=\"42784768\"] \n  29 -> 30 [size =\"42784768\"]\n  30 [size=\"32824320\", alpha=\"0.15\", expect_size=\"13129728\"] \n  30 -> 31 [size =\"13129728\"]\n  31 [size=\"104212480\", alpha=\"0.13\", expect_size=\"41684992\"] \n  31 -> 32 [size =\"41684992\"]\n  32 [size=\"85760000\", alpha=\"0.16\", expect_size=\"34304000\"] \n  32 -> 33 [size =\"34304000\"]\n  33 [size=\"76252160\", alpha=\"0.05\", expect_size=\"30500864\"] \n  33 -> 34 [size =\"30500864\"]\n  34 [size=\"76858880\", alpha=\"0.06\", expect_size=\"30743552\"] \n  34 -> 35 [size =\"30743552\"]\n  35 [size=\"109317120\", alpha=\"0.00\", expect_size=\"43726848\"] \n  35 -> 36 [size =\"43726848\"]\n  36 [size=\"70417920\", alpha=\"0.09\", expect_size=\"28167168\"] \n  36 -> 37 [size =\"28167168\"]\n  37 [size=\"23674880\", alpha=\"0.17\", expect_size=\"9469952\"] \n  37 -> 38 [size =\"9469952\"]\n  38 [size=\"104084480\", alpha=\"0.01\", expect_size=\"41633792\"] \n  38 -> 39 [size =\"41633792\"]\n  39 [size=\"95603200\", alpha=\"0.08\", expect_size=\"38241280\"] \n  39 -> 40 [size =\"38241280\"]\n  40 [size=\"85724160\", alpha=\"0.00\", expect_size=\"34289664\"] \n  40 -> 41 [size =\"34289664\"]\n  41 [size=\"54138880\", alpha=\"0.05\", expect_size=\"21655552\"] \n  41 -> 42 [size =\"21655552\"]\n  42 [size=\"13921280\", alpha=\"0.04\", expect_size=\"5568512\"] \n  42 -> 43 [size =\"5568512\"]\n  43 [size=\"108700160\", alpha=\"0.12\", expect_size=\"43480064\"] \n  43 -> 44 [size =\"43480064\"]\n  44 [size=\"17556480\", alpha=\"0.20\", expect_size=\"7022592\"] \n  44 -> 45 [size =\"7022592\"]\n  45 [size=\"55639040\", alpha=\"0.10\", expect_size=\"22255616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84023296\", alpha=\"0.16\", expect_size=\"42011648\"] \n  1 -> 3 [size =\"42011648\"]\n  1 -> 5 [size =\"42011648\"]\n  2 [size=\"79949824\", alpha=\"0.17\", expect_size=\"39974912\"] \n  2 -> 4 [size =\"39974912\"]\n  3 [size=\"104687616\", alpha=\"0.11\", expect_size=\"52343808\"] \n  3 -> 7 [size =\"52343808\"]\n  4 [size=\"45965312\", alpha=\"0.20\", expect_size=\"22982656\"] \n  4 -> 6 [size =\"22982656\"]\n  4 -> 7 [size =\"22982656\"]\n  4 -> 8 [size =\"22982656\"]\n  5 [size=\"59375616\", alpha=\"0.14\", expect_size=\"29687808\"] \n  5 -> 7 [size =\"29687808\"]\n  5 -> 8 [size =\"29687808\"]\n  6 [size=\"76392448\", alpha=\"0.10\", expect_size=\"38196224\"] \n  6 -> 9 [size =\"38196224\"]\n  7 [size=\"23169024\", alpha=\"0.08\", expect_size=\"11584512\"] \n  7 -> 10 [size =\"11584512\"]\n  8 [size=\"39653376\", alpha=\"0.15\", expect_size=\"19826688\"] \n  8 -> 9 [size =\"19826688\"]\n  8 -> 10 [size =\"19826688\"]\n  9 [size=\"54142976\", alpha=\"0.14\", expect_size=\"27071488\"] \n  9 -> 11 [size =\"27071488\"]\n  9 -> 12 [size =\"27071488\"]\n  10 [size=\"50495488\", alpha=\"0.01\", expect_size=\"25247744\"] \n  10 -> 12 [size =\"25247744\"]\n  11 [size=\"70305792\", alpha=\"0.18\", expect_size=\"35152896\"] \n  11 -> 13 [size =\"35152896\"]\n  11 -> 14 [size =\"35152896\"]\n  11 -> 15 [size =\"35152896\"]\n  12 [size=\"51902464\", alpha=\"0.06\", expect_size=\"25951232\"] \n  12 -> 13 [size =\"25951232\"]\n  12 -> 14 [size =\"25951232\"]\n  13 [size=\"35487744\", alpha=\"0.03\", expect_size=\"17743872\"] \n  13 -> 16 [size =\"17743872\"]\n  13 -> 17 [size =\"17743872\"]\n  14 [size=\"87078912\", alpha=\"0.04\", expect_size=\"43539456\"] \n  14 -> 16 [size =\"43539456\"]\n  14 -> 17 [size =\"43539456\"]\n  15 [size=\"86009856\", alpha=\"0.15\", expect_size=\"43004928\"] \n  15 -> 17 [size =\"43004928\"]\n  16 [size=\"59916288\", alpha=\"0.12\", expect_size=\"29958144\"] \n  16 -> 18 [size =\"29958144\"]\n  16 -> 19 [size =\"29958144\"]\n  17 [size=\"13461504\", alpha=\"0.12\", expect_size=\"6730752\"] \n  17 -> 19 [size =\"6730752\"]\n  18 [size=\"52314112\", alpha=\"0.02\", expect_size=\"26157056\"] \n  18 -> 20 [size =\"26157056\"]\n  18 -> 21 [size =\"26157056\"]\n  18 -> 22 [size =\"26157056\"]\n  19 [size=\"28176384\", alpha=\"0.18\", expect_size=\"14088192\"] \n  19 -> 20 [size =\"14088192\"]\n  19 -> 21 [size =\"14088192\"]\n  19 -> 22 [size =\"14088192\"]\n  20 [size=\"94337024\", alpha=\"0.09\", expect_size=\"47168512\"] \n  20 -> 24 [size =\"47168512\"]\n  21 [size=\"100188160\", alpha=\"0.14\", expect_size=\"50094080\"] \n  21 -> 23 [size =\"50094080\"]\n  22 [size=\"88766464\", alpha=\"0.15\", expect_size=\"44383232\"] \n  22 -> 23 [size =\"44383232\"]\n  23 [size=\"22267904\", alpha=\"0.15\", expect_size=\"11133952\"] \n  23 -> 25 [size =\"11133952\"]\n  23 -> 26 [size =\"11133952\"]\n  23 -> 27 [size =\"11133952\"]\n  24 [size=\"36935680\", alpha=\"0.03\", expect_size=\"18467840\"] \n  24 -> 25 [size =\"18467840\"]\n  24 -> 27 [size =\"18467840\"]\n  25 [size=\"55451648\", alpha=\"0.01\", expect_size=\"27725824\"] \n  25 -> 29 [size =\"27725824\"]\n  26 [size=\"32405504\", alpha=\"0.13\", expect_size=\"16202752\"] \n  26 -> 29 [size =\"16202752\"]\n  27 [size=\"89190400\", alpha=\"0.08\", expect_size=\"44595200\"] \n  27 -> 28 [size =\"44595200\"]\n  27 -> 29 [size =\"44595200\"]\n  28 [size=\"50180096\", alpha=\"0.09\", expect_size=\"25090048\"] \n  28 -> 30 [size =\"25090048\"]\n  29 [size=\"59961344\", alpha=\"0.20\", expect_size=\"29980672\"] \n  29 -> 30 [size =\"29980672\"]\n  29 -> 31 [size =\"29980672\"]\n  30 [size=\"52529152\", alpha=\"0.18\", expect_size=\"26264576\"] \n  30 -> 32 [size =\"26264576\"]\n  30 -> 33 [size =\"26264576\"]\n  31 [size=\"92727296\", alpha=\"0.10\", expect_size=\"46363648\"] \n  31 -> 33 [size =\"46363648\"]\n  32 [size=\"65351680\", alpha=\"0.10\", expect_size=\"32675840\"] \n  32 -> 34 [size =\"32675840\"]\n  32 -> 35 [size =\"32675840\"]\n  32 -> 36 [size =\"32675840\"]\n  33 [size=\"39868416\", alpha=\"0.16\", expect_size=\"19934208\"] \n  33 -> 34 [size =\"19934208\"]\n  33 -> 35 [size =\"19934208\"]\n  33 -> 36 [size =\"19934208\"]\n  34 [size=\"16105472\", alpha=\"0.18\", expect_size=\"8052736\"] \n  34 -> 37 [size =\"8052736\"]\n  34 -> 39 [size =\"8052736\"]\n  35 [size=\"29544448\", alpha=\"0.15\", expect_size=\"14772224\"] \n  35 -> 37 [size =\"14772224\"]\n  35 -> 38 [size =\"14772224\"]\n  35 -> 39 [size =\"14772224\"]\n  36 [size=\"34703360\", alpha=\"0.04\", expect_size=\"17351680\"] \n  36 -> 37 [size =\"17351680\"]\n  36 -> 38 [size =\"17351680\"]\n  36 -> 39 [size =\"17351680\"]\n  37 [size=\"97490944\", alpha=\"0.13\", expect_size=\"48745472\"] \n  37 -> 41 [size =\"48745472\"]\n  37 -> 41 [size =\"48745472\"]\n  37 -> 42 [size =\"48745472\"]\n  38 [size=\"41846784\", alpha=\"0.10\", expect_size=\"20923392\"] \n  38 -> 40 [size =\"20923392\"]\n  38 -> 42 [size =\"20923392\"]\n  39 [size=\"85686272\", alpha=\"0.12\", expect_size=\"42843136\"] \n  39 -> 40 [size =\"42843136\"]\n  39 -> 41 [size =\"42843136\"]\n  39 -> 42 [size =\"42843136\"]\n  40 [size=\"83922944\", alpha=\"0.11\", expect_size=\"41961472\"] \n  40 -> 43 [size =\"41961472\"]\n  40 -> 44 [size =\"41961472\"]\n  41 [size=\"76564480\", alpha=\"0.09\", expect_size=\"38282240\"] \n  41 -> 43 [size =\"38282240\"]\n  42 [size=\"29065216\", alpha=\"0.04\", expect_size=\"14532608\"] \n  43 [size=\"77213696\", alpha=\"0.02\", expect_size=\"38606848\"] \n  44 [size=\"57266176\", alpha=\"0.05\", expect_size=\"28633088\"] \n  44 -> 45 [size =\"28633088\"]\n  45 [size=\"45817856\", alpha=\"0.17\", expect_size=\"22908928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23720960\", alpha=\"0.19\", expect_size=\"9488384\"] \n  1 -> 4 [size =\"9488384\"]\n  1 -> 5 [size =\"9488384\"]\n  2 [size=\"119859200\", alpha=\"0.03\", expect_size=\"47943680\"] \n  3 [size=\"104424960\", alpha=\"0.05\", expect_size=\"41769984\"] \n  3 -> 5 [size =\"41769984\"]\n  4 [size=\"63037440\", alpha=\"0.03\", expect_size=\"25214976\"] \n  4 -> 6 [size =\"25214976\"]\n  5 [size=\"95953920\", alpha=\"0.10\", expect_size=\"38381568\"] \n  5 -> 7 [size =\"38381568\"]\n  6 [size=\"17536000\", alpha=\"0.13\", expect_size=\"7014400\"] \n  7 [size=\"102484480\", alpha=\"0.18\", expect_size=\"40993792\"] \n  7 -> 8 [size =\"40993792\"]\n  7 -> 9 [size =\"40993792\"]\n  7 -> 10 [size =\"40993792\"]\n  8 [size=\"44462080\", alpha=\"0.19\", expect_size=\"17784832\"] \n  8 -> 11 [size =\"17784832\"]\n  8 -> 12 [size =\"17784832\"]\n  9 [size=\"120957440\", alpha=\"0.17\", expect_size=\"48382976\"] \n  9 -> 11 [size =\"48382976\"]\n  10 [size=\"112819200\", alpha=\"0.18\", expect_size=\"45127680\"] \n  10 -> 12 [size =\"45127680\"]\n  11 [size=\"39582720\", alpha=\"0.20\", expect_size=\"15833088\"] \n  11 -> 13 [size =\"15833088\"]\n  12 [size=\"33689600\", alpha=\"0.12\", expect_size=\"13475840\"] \n  12 -> 14 [size =\"13475840\"]\n  12 -> 15 [size =\"13475840\"]\n  13 [size=\"50872320\", alpha=\"0.12\", expect_size=\"20348928\"] \n  14 [size=\"82160640\", alpha=\"0.03\", expect_size=\"32864256\"] \n  14 -> 16 [size =\"32864256\"]\n  14 -> 17 [size =\"32864256\"]\n  15 [size=\"100175360\", alpha=\"0.11\", expect_size=\"40070144\"] \n  15 -> 17 [size =\"40070144\"]\n  16 [size=\"40765440\", alpha=\"0.16\", expect_size=\"16306176\"] \n  16 -> 18 [size =\"16306176\"]\n  16 -> 19 [size =\"16306176\"]\n  17 [size=\"117381120\", alpha=\"0.04\", expect_size=\"46952448\"] \n  18 [size=\"102922240\", alpha=\"0.09\", expect_size=\"41168896\"] \n  18 -> 20 [size =\"41168896\"]\n  19 [size=\"94369280\", alpha=\"0.12\", expect_size=\"37747712\"] \n  19 -> 21 [size =\"37747712\"]\n  19 -> 22 [size =\"37747712\"]\n  20 [size=\"74414080\", alpha=\"0.04\", expect_size=\"29765632\"] \n  20 -> 23 [size =\"29765632\"]\n  21 [size=\"60326400\", alpha=\"0.17\", expect_size=\"24130560\"] \n  21 -> 24 [size =\"24130560\"]\n  21 -> 25 [size =\"24130560\"]\n  22 [size=\"58339840\", alpha=\"0.08\", expect_size=\"23335936\"] \n  22 -> 23 [size =\"23335936\"]\n  22 -> 25 [size =\"23335936\"]\n  23 [size=\"14056960\", alpha=\"0.15\", expect_size=\"5622784\"] \n  24 [size=\"82621440\", alpha=\"0.10\", expect_size=\"33048576\"] \n  24 -> 26 [size =\"33048576\"]\n  25 [size=\"99356160\", alpha=\"0.19\", expect_size=\"39742464\"] \n  25 -> 27 [size =\"39742464\"]\n  26 [size=\"47554560\", alpha=\"0.09\", expect_size=\"19021824\"] \n  26 -> 28 [size =\"19021824\"]\n  26 -> 29 [size =\"19021824\"]\n  27 [size=\"23902720\", alpha=\"0.14\", expect_size=\"9561088\"] \n  27 -> 30 [size =\"9561088\"]\n  28 [size=\"46865920\", alpha=\"0.05\", expect_size=\"18746368\"] \n  29 [size=\"97768960\", alpha=\"0.13\", expect_size=\"39107584\"] \n  29 -> 31 [size =\"39107584\"]\n  29 -> 32 [size =\"39107584\"]\n  29 -> 33 [size =\"39107584\"]\n  30 [size=\"53079040\", alpha=\"0.19\", expect_size=\"21231616\"] \n  30 -> 31 [size =\"21231616\"]\n  30 -> 32 [size =\"21231616\"]\n  30 -> 33 [size =\"21231616\"]\n  31 [size=\"75105280\", alpha=\"0.09\", expect_size=\"30042112\"] \n  31 -> 34 [size =\"30042112\"]\n  31 -> 35 [size =\"30042112\"]\n  32 [size=\"56499200\", alpha=\"0.03\", expect_size=\"22599680\"] \n  32 -> 35 [size =\"22599680\"]\n  32 -> 36 [size =\"22599680\"]\n  33 [size=\"104010240\", alpha=\"0.03\", expect_size=\"41604096\"] \n  34 [size=\"73031680\", alpha=\"0.14\", expect_size=\"29212672\"] \n  35 [size=\"13491200\", alpha=\"0.01\", expect_size=\"5396480\"] \n  35 -> 38 [size =\"5396480\"]\n  35 -> 39 [size =\"5396480\"]\n  36 [size=\"126202880\", alpha=\"0.12\", expect_size=\"50481152\"] \n  36 -> 37 [size =\"50481152\"]\n  36 -> 39 [size =\"50481152\"]\n  37 [size=\"61703680\", alpha=\"0.01\", expect_size=\"24681472\"] \n  38 [size=\"27333120\", alpha=\"0.05\", expect_size=\"10933248\"] \n  39 [size=\"54448640\", alpha=\"0.03\", expect_size=\"21779456\"] \n  39 -> 40 [size =\"21779456\"]\n  39 -> 41 [size =\"21779456\"]\n  40 [size=\"14973440\", alpha=\"0.11\", expect_size=\"5989376\"] \n  41 [size=\"126584320\", alpha=\"0.07\", expect_size=\"50633728\"] \n  41 -> 42 [size =\"50633728\"]\n  41 -> 43 [size =\"50633728\"]\n  42 [size=\"61862400\", alpha=\"0.11\", expect_size=\"24744960\"] \n  42 -> 44 [size =\"24744960\"]\n  42 -> 45 [size =\"24744960\"]\n  43 [size=\"77322240\", alpha=\"0.15\", expect_size=\"30928896\"] \n  44 [size=\"92764160\", alpha=\"0.11\", expect_size=\"37105664\"] \n  45 [size=\"59281920\", alpha=\"0.01\", expect_size=\"23712768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165369173\", alpha=\"0.00\", expect_size=\"49610752\"] \n  1 -> 33 [size =\"49610752\"]\n  1 -> 34 [size =\"49610752\"]\n  1 -> 35 [size =\"49610752\"]\n  1 -> 38 [size =\"49610752\"]\n  1 -> 42 [size =\"49610752\"]\n  1 -> 43 [size =\"49610752\"]\n  1 -> 44 [size =\"49610752\"]\n  1 -> 45 [size =\"49610752\"]\n  2 [size=\"121497600\", alpha=\"0.16\", expect_size=\"36449280\"] \n  2 -> 34 [size =\"36449280\"]\n  2 -> 39 [size =\"36449280\"]\n  3 [size=\"114763093\", alpha=\"0.11\", expect_size=\"34428928\"] \n  3 -> 33 [size =\"34428928\"]\n  3 -> 35 [size =\"34428928\"]\n  3 -> 37 [size =\"34428928\"]\n  3 -> 39 [size =\"34428928\"]\n  3 -> 42 [size =\"34428928\"]\n  3 -> 43 [size =\"34428928\"]\n  3 -> 44 [size =\"34428928\"]\n  4 [size=\"170267307\", alpha=\"0.00\", expect_size=\"51080192\"] \n  4 -> 33 [size =\"51080192\"]\n  4 -> 35 [size =\"51080192\"]\n  4 -> 36 [size =\"51080192\"]\n  4 -> 38 [size =\"51080192\"]\n  4 -> 39 [size =\"51080192\"]\n  4 -> 40 [size =\"51080192\"]\n  4 -> 42 [size =\"51080192\"]\n  5 [size=\"161088853\", alpha=\"0.18\", expect_size=\"48326656\"] \n  5 -> 33 [size =\"48326656\"]\n  5 -> 34 [size =\"48326656\"]\n  5 -> 35 [size =\"48326656\"]\n  5 -> 36 [size =\"48326656\"]\n  5 -> 38 [size =\"48326656\"]\n  5 -> 40 [size =\"48326656\"]\n  5 -> 42 [size =\"48326656\"]\n  5 -> 44 [size =\"48326656\"]\n  6 [size=\"159993173\", alpha=\"0.18\", expect_size=\"47997952\"] \n  6 -> 33 [size =\"47997952\"]\n  6 -> 35 [size =\"47997952\"]\n  6 -> 38 [size =\"47997952\"]\n  6 -> 40 [size =\"47997952\"]\n  6 -> 42 [size =\"47997952\"]\n  6 -> 43 [size =\"47997952\"]\n  6 -> 44 [size =\"47997952\"]\n  7 [size=\"110687573\", alpha=\"0.11\", expect_size=\"33206272\"] \n  7 -> 37 [size =\"33206272\"]\n  7 -> 38 [size =\"33206272\"]\n  7 -> 40 [size =\"33206272\"]\n  7 -> 42 [size =\"33206272\"]\n  7 -> 44 [size =\"33206272\"]\n  7 -> 45 [size =\"33206272\"]\n  8 [size=\"156675413\", alpha=\"0.08\", expect_size=\"47002624\"] \n  8 -> 38 [size =\"47002624\"]\n  8 -> 39 [size =\"47002624\"]\n  8 -> 44 [size =\"47002624\"]\n  8 -> 45 [size =\"47002624\"]\n  9 [size=\"124583253\", alpha=\"0.05\", expect_size=\"37374976\"] \n  9 -> 33 [size =\"37374976\"]\n  9 -> 35 [size =\"37374976\"]\n  9 -> 39 [size =\"37374976\"]\n  9 -> 40 [size =\"37374976\"]\n  9 -> 42 [size =\"37374976\"]\n  9 -> 43 [size =\"37374976\"]\n  9 -> 44 [size =\"37374976\"]\n  10 [size=\"60801707\", alpha=\"0.16\", expect_size=\"18240512\"] \n  10 -> 33 [size =\"18240512\"]\n  10 -> 35 [size =\"18240512\"]\n  10 -> 36 [size =\"18240512\"]\n  10 -> 37 [size =\"18240512\"]\n  10 -> 40 [size =\"18240512\"]\n  10 -> 43 [size =\"18240512\"]\n  10 -> 45 [size =\"18240512\"]\n  11 [size=\"165932373\", alpha=\"0.05\", expect_size=\"49779712\"] \n  11 -> 33 [size =\"49779712\"]\n  11 -> 34 [size =\"49779712\"]\n  11 -> 35 [size =\"49779712\"]\n  11 -> 37 [size =\"49779712\"]\n  11 -> 38 [size =\"49779712\"]\n  11 -> 44 [size =\"49779712\"]\n  12 [size=\"168990720\", alpha=\"0.13\", expect_size=\"50697216\"] \n  12 -> 33 [size =\"50697216\"]\n  12 -> 34 [size =\"50697216\"]\n  12 -> 35 [size =\"50697216\"]\n  12 -> 37 [size =\"50697216\"]\n  12 -> 38 [size =\"50697216\"]\n  12 -> 40 [size =\"50697216\"]\n  12 -> 42 [size =\"50697216\"]\n  13 [size=\"140042240\", alpha=\"0.03\", expect_size=\"42012672\"] \n  13 -> 33 [size =\"42012672\"]\n  13 -> 35 [size =\"42012672\"]\n  13 -> 35 [size =\"42012672\"]\n  13 -> 40 [size =\"42012672\"]\n  13 -> 42 [size =\"42012672\"]\n  14 [size=\"71860907\", alpha=\"0.08\", expect_size=\"21558272\"] \n  14 -> 33 [size =\"21558272\"]\n  14 -> 34 [size =\"21558272\"]\n  14 -> 35 [size =\"21558272\"]\n  14 -> 39 [size =\"21558272\"]\n  14 -> 40 [size =\"21558272\"]\n  15 [size=\"72495787\", alpha=\"0.04\", expect_size=\"21748736\"] \n  15 -> 34 [size =\"21748736\"]\n  15 -> 44 [size =\"21748736\"]\n  16 [size=\"58279253\", alpha=\"0.04\", expect_size=\"17483776\"] \n  16 -> 40 [size =\"17483776\"]\n  16 -> 43 [size =\"17483776\"]\n  17 [size=\"46073173\", alpha=\"0.04\", expect_size=\"13821952\"] \n  17 -> 33 [size =\"13821952\"]\n  17 -> 34 [size =\"13821952\"]\n  17 -> 38 [size =\"13821952\"]\n  17 -> 40 [size =\"13821952\"]\n  17 -> 44 [size =\"13821952\"]\n  18 [size=\"131437227\", alpha=\"0.09\", expect_size=\"39431168\"] \n  18 -> 34 [size =\"39431168\"]\n  18 -> 38 [size =\"39431168\"]\n  18 -> 40 [size =\"39431168\"]\n  18 -> 43 [size =\"39431168\"]\n  18 -> 44 [size =\"39431168\"]\n  19 [size=\"38676480\", alpha=\"0.15\", expect_size=\"11602944\"] \n  19 -> 33 [size =\"11602944\"]\n  19 -> 35 [size =\"11602944\"]\n  19 -> 39 [size =\"11602944\"]\n  19 -> 40 [size =\"11602944\"]\n  19 -> 41 [size =\"11602944\"]\n  19 -> 44 [size =\"11602944\"]\n  20 [size=\"76441600\", alpha=\"0.04\", expect_size=\"22932480\"] \n  20 -> 37 [size =\"22932480\"]\n  20 -> 38 [size =\"22932480\"]\n  20 -> 43 [size =\"22932480\"]\n  20 -> 44 [size =\"22932480\"]\n  21 [size=\"47264427\", alpha=\"0.11\", expect_size=\"14179328\"] \n  21 -> 37 [size =\"14179328\"]\n  21 -> 38 [size =\"14179328\"]\n  21 -> 40 [size =\"14179328\"]\n  21 -> 42 [size =\"14179328\"]\n  21 -> 43 [size =\"14179328\"]\n  21 -> 44 [size =\"14179328\"]\n  21 -> 45 [size =\"14179328\"]\n  22 [size=\"90289493\", alpha=\"0.12\", expect_size=\"27086848\"] \n  22 -> 33 [size =\"27086848\"]\n  22 -> 34 [size =\"27086848\"]\n  22 -> 37 [size =\"27086848\"]\n  22 -> 38 [size =\"27086848\"]\n  22 -> 40 [size =\"27086848\"]\n  22 -> 43 [size =\"27086848\"]\n  23 [size=\"35444053\", alpha=\"0.05\", expect_size=\"10633216\"] \n  23 -> 33 [size =\"10633216\"]\n  23 -> 34 [size =\"10633216\"]\n  23 -> 36 [size =\"10633216\"]\n  23 -> 37 [size =\"10633216\"]\n  23 -> 38 [size =\"10633216\"]\n  23 -> 43 [size =\"10633216\"]\n  23 -> 44 [size =\"10633216\"]\n  24 [size=\"60852907\", alpha=\"0.17\", expect_size=\"18255872\"] \n  24 -> 33 [size =\"18255872\"]\n  24 -> 34 [size =\"18255872\"]\n  24 -> 36 [size =\"18255872\"]\n  24 -> 38 [size =\"18255872\"]\n  24 -> 43 [size =\"18255872\"]\n  24 -> 43 [size =\"18255872\"]\n  24 -> 44 [size =\"18255872\"]\n  25 [size=\"126296747\", alpha=\"0.08\", expect_size=\"37889024\"] \n  25 -> 33 [size =\"37889024\"]\n  25 -> 35 [size =\"37889024\"]\n  25 -> 36 [size =\"37889024\"]\n  25 -> 38 [size =\"37889024\"]\n  25 -> 42 [size =\"37889024\"]\n  25 -> 43 [size =\"37889024\"]\n  25 -> 44 [size =\"37889024\"]\n  26 [size=\"159389013\", alpha=\"0.17\", expect_size=\"47816704\"] \n  26 -> 33 [size =\"47816704\"]\n  26 -> 37 [size =\"47816704\"]\n  26 -> 39 [size =\"47816704\"]\n  26 -> 42 [size =\"47816704\"]\n  26 -> 43 [size =\"47816704\"]\n  26 -> 43 [size =\"47816704\"]\n  26 -> 44 [size =\"47816704\"]\n  26 -> 45 [size =\"47816704\"]\n  27 [size=\"31358293\", alpha=\"0.18\", expect_size=\"9407488\"] \n  27 -> 33 [size =\"9407488\"]\n  27 -> 35 [size =\"9407488\"]\n  27 -> 40 [size =\"9407488\"]\n  27 -> 42 [size =\"9407488\"]\n  28 [size=\"62610773\", alpha=\"0.16\", expect_size=\"18783232\"] \n  28 -> 34 [size =\"18783232\"]\n  28 -> 35 [size =\"18783232\"]\n  28 -> 40 [size =\"18783232\"]\n  28 -> 42 [size =\"18783232\"]\n  28 -> 45 [size =\"18783232\"]\n  29 [size=\"130440533\", alpha=\"0.08\", expect_size=\"39132160\"] \n  29 -> 33 [size =\"39132160\"]\n  29 -> 38 [size =\"39132160\"]\n  29 -> 39 [size =\"39132160\"]\n  29 -> 40 [size =\"39132160\"]\n  29 -> 45 [size =\"39132160\"]\n  30 [size=\"90296320\", alpha=\"0.06\", expect_size=\"27088896\"] \n  30 -> 33 [size =\"27088896\"]\n  30 -> 34 [size =\"27088896\"]\n  30 -> 40 [size =\"27088896\"]\n  30 -> 40 [size =\"27088896\"]\n  30 -> 44 [size =\"27088896\"]\n  31 [size=\"118326613\", alpha=\"0.02\", expect_size=\"35497984\"] \n  31 -> 33 [size =\"35497984\"]\n  31 -> 34 [size =\"35497984\"]\n  31 -> 35 [size =\"35497984\"]\n  31 -> 38 [size =\"35497984\"]\n  31 -> 40 [size =\"35497984\"]\n  31 -> 42 [size =\"35497984\"]\n  31 -> 43 [size =\"35497984\"]\n  32 [size=\"47861760\", alpha=\"0.18\", expect_size=\"14358528\"] \n  32 -> 35 [size =\"14358528\"]\n  32 -> 38 [size =\"14358528\"]\n  32 -> 41 [size =\"14358528\"]\n  32 -> 42 [size =\"14358528\"]\n  32 -> 43 [size =\"14358528\"]\n  33 [size=\"140202667\", alpha=\"0.09\", expect_size=\"42060800\"] \n  34 [size=\"20783787\", alpha=\"0.07\", expect_size=\"6235136\"] \n  35 [size=\"156972373\", alpha=\"0.13\", expect_size=\"47091712\"] \n  36 [size=\"63235413\", alpha=\"0.03\", expect_size=\"18970624\"] \n  37 [size=\"39376213\", alpha=\"0.17\", expect_size=\"11812864\"] \n  38 [size=\"21326507\", alpha=\"0.06\", expect_size=\"6397952\"] \n  39 [size=\"148285440\", alpha=\"0.17\", expect_size=\"44485632\"] \n  40 [size=\"55504213\", alpha=\"0.16\", expect_size=\"16651264\"] \n  41 [size=\"100877653\", alpha=\"0.18\", expect_size=\"30263296\"] \n  42 [size=\"118292480\", alpha=\"0.10\", expect_size=\"35487744\"] \n  43 [size=\"101980160\", alpha=\"0.04\", expect_size=\"30594048\"] \n  44 [size=\"174506667\", alpha=\"0.03\", expect_size=\"52352000\"] \n  45 [size=\"75687253\", alpha=\"0.17\", expect_size=\"22706176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104219307\", alpha=\"0.18\", expect_size=\"31265792\"] \n  1 -> 38 [size =\"31265792\"]\n  1 -> 40 [size =\"31265792\"]\n  1 -> 41 [size =\"31265792\"]\n  2 [size=\"113466027\", alpha=\"0.08\", expect_size=\"34039808\"] \n  2 -> 32 [size =\"34039808\"]\n  2 -> 38 [size =\"34039808\"]\n  2 -> 40 [size =\"34039808\"]\n  2 -> 42 [size =\"34039808\"]\n  2 -> 44 [size =\"34039808\"]\n  2 -> 45 [size =\"34039808\"]\n  3 [size=\"133618347\", alpha=\"0.12\", expect_size=\"40085504\"] \n  3 -> 33 [size =\"40085504\"]\n  3 -> 39 [size =\"40085504\"]\n  3 -> 40 [size =\"40085504\"]\n  3 -> 44 [size =\"40085504\"]\n  3 -> 45 [size =\"40085504\"]\n  4 [size=\"65611093\", alpha=\"0.02\", expect_size=\"19683328\"] \n  4 -> 33 [size =\"19683328\"]\n  4 -> 34 [size =\"19683328\"]\n  4 -> 39 [size =\"19683328\"]\n  5 [size=\"81865387\", alpha=\"0.06\", expect_size=\"24559616\"] \n  5 -> 32 [size =\"24559616\"]\n  5 -> 39 [size =\"24559616\"]\n  5 -> 39 [size =\"24559616\"]\n  5 -> 42 [size =\"24559616\"]\n  6 [size=\"166970027\", alpha=\"0.15\", expect_size=\"50091008\"] \n  6 -> 45 [size =\"50091008\"]\n  7 [size=\"136437760\", alpha=\"0.19\", expect_size=\"40931328\"] \n  7 -> 32 [size =\"40931328\"]\n  7 -> 35 [size =\"40931328\"]\n  7 -> 40 [size =\"40931328\"]\n  7 -> 41 [size =\"40931328\"]\n  8 [size=\"41058987\", alpha=\"0.18\", expect_size=\"12317696\"] \n  8 -> 32 [size =\"12317696\"]\n  8 -> 34 [size =\"12317696\"]\n  8 -> 40 [size =\"12317696\"]\n  8 -> 45 [size =\"12317696\"]\n  9 [size=\"37533013\", alpha=\"0.09\", expect_size=\"11259904\"] \n  9 -> 32 [size =\"11259904\"]\n  9 -> 33 [size =\"11259904\"]\n  9 -> 39 [size =\"11259904\"]\n  9 -> 45 [size =\"11259904\"]\n  10 [size=\"85923840\", alpha=\"0.05\", expect_size=\"25777152\"] \n  10 -> 33 [size =\"25777152\"]\n  10 -> 38 [size =\"25777152\"]\n  10 -> 39 [size =\"25777152\"]\n  11 [size=\"164625067\", alpha=\"0.17\", expect_size=\"49387520\"] \n  11 -> 32 [size =\"49387520\"]\n  11 -> 33 [size =\"49387520\"]\n  11 -> 42 [size =\"49387520\"]\n  12 [size=\"147988480\", alpha=\"0.19\", expect_size=\"44396544\"] \n  12 -> 32 [size =\"44396544\"]\n  12 -> 33 [size =\"44396544\"]\n  12 -> 40 [size =\"44396544\"]\n  12 -> 42 [size =\"44396544\"]\n  12 -> 45 [size =\"44396544\"]\n  13 [size=\"55777280\", alpha=\"0.03\", expect_size=\"16733184\"] \n  13 -> 33 [size =\"16733184\"]\n  13 -> 33 [size =\"16733184\"]\n  13 -> 37 [size =\"16733184\"]\n  13 -> 39 [size =\"16733184\"]\n  13 -> 40 [size =\"16733184\"]\n  13 -> 42 [size =\"16733184\"]\n  14 [size=\"149265067\", alpha=\"0.14\", expect_size=\"44779520\"] \n  14 -> 37 [size =\"44779520\"]\n  14 -> 38 [size =\"44779520\"]\n  14 -> 39 [size =\"44779520\"]\n  14 -> 40 [size =\"44779520\"]\n  15 [size=\"167799467\", alpha=\"0.08\", expect_size=\"50339840\"] \n  15 -> 36 [size =\"50339840\"]\n  15 -> 37 [size =\"50339840\"]\n  15 -> 39 [size =\"50339840\"]\n  15 -> 41 [size =\"50339840\"]\n  15 -> 43 [size =\"50339840\"]\n  16 [size=\"55285760\", alpha=\"0.16\", expect_size=\"16585728\"] \n  16 -> 33 [size =\"16585728\"]\n  16 -> 37 [size =\"16585728\"]\n  16 -> 39 [size =\"16585728\"]\n  16 -> 40 [size =\"16585728\"]\n  16 -> 45 [size =\"16585728\"]\n  17 [size=\"17486507\", alpha=\"0.19\", expect_size=\"5245952\"] \n  17 -> 33 [size =\"5245952\"]\n  17 -> 36 [size =\"5245952\"]\n  17 -> 37 [size =\"5245952\"]\n  17 -> 42 [size =\"5245952\"]\n  18 [size=\"169117013\", alpha=\"0.03\", expect_size=\"50735104\"] \n  18 -> 37 [size =\"50735104\"]\n  19 [size=\"151343787\", alpha=\"0.17\", expect_size=\"45403136\"] \n  19 -> 32 [size =\"45403136\"]\n  19 -> 35 [size =\"45403136\"]\n  19 -> 36 [size =\"45403136\"]\n  19 -> 37 [size =\"45403136\"]\n  19 -> 39 [size =\"45403136\"]\n  19 -> 42 [size =\"45403136\"]\n  19 -> 45 [size =\"45403136\"]\n  20 [size=\"64228693\", alpha=\"0.11\", expect_size=\"19268608\"] \n  20 -> 37 [size =\"19268608\"]\n  20 -> 40 [size =\"19268608\"]\n  20 -> 42 [size =\"19268608\"]\n  21 [size=\"102065493\", alpha=\"0.16\", expect_size=\"30619648\"] \n  21 -> 32 [size =\"30619648\"]\n  21 -> 43 [size =\"30619648\"]\n  22 [size=\"77499733\", alpha=\"0.13\", expect_size=\"23249920\"] \n  22 -> 32 [size =\"23249920\"]\n  22 -> 36 [size =\"23249920\"]\n  22 -> 41 [size =\"23249920\"]\n  22 -> 45 [size =\"23249920\"]\n  23 [size=\"69386240\", alpha=\"0.05\", expect_size=\"20815872\"] \n  23 -> 32 [size =\"20815872\"]\n  23 -> 37 [size =\"20815872\"]\n  23 -> 38 [size =\"20815872\"]\n  23 -> 39 [size =\"20815872\"]\n  23 -> 41 [size =\"20815872\"]\n  23 -> 45 [size =\"20815872\"]\n  24 [size=\"90429440\", alpha=\"0.03\", expect_size=\"27128832\"] \n  24 -> 32 [size =\"27128832\"]\n  24 -> 33 [size =\"27128832\"]\n  24 -> 35 [size =\"27128832\"]\n  24 -> 36 [size =\"27128832\"]\n  24 -> 37 [size =\"27128832\"]\n  25 [size=\"42936320\", alpha=\"0.09\", expect_size=\"12880896\"] \n  25 -> 35 [size =\"12880896\"]\n  25 -> 37 [size =\"12880896\"]\n  25 -> 42 [size =\"12880896\"]\n  26 [size=\"109052587\", alpha=\"0.14\", expect_size=\"32715776\"] \n  26 -> 33 [size =\"32715776\"]\n  26 -> 36 [size =\"32715776\"]\n  26 -> 37 [size =\"32715776\"]\n  26 -> 45 [size =\"32715776\"]\n  27 [size=\"76540587\", alpha=\"0.14\", expect_size=\"22962176\"] \n  27 -> 32 [size =\"22962176\"]\n  27 -> 36 [size =\"22962176\"]\n  27 -> 37 [size =\"22962176\"]\n  27 -> 39 [size =\"22962176\"]\n  28 [size=\"65194667\", alpha=\"0.18\", expect_size=\"19558400\"] \n  28 -> 33 [size =\"19558400\"]\n  28 -> 37 [size =\"19558400\"]\n  28 -> 39 [size =\"19558400\"]\n  28 -> 40 [size =\"19558400\"]\n  28 -> 42 [size =\"19558400\"]\n  29 [size=\"86640640\", alpha=\"0.03\", expect_size=\"25992192\"] \n  29 -> 32 [size =\"25992192\"]\n  29 -> 33 [size =\"25992192\"]\n  29 -> 39 [size =\"25992192\"]\n  29 -> 40 [size =\"25992192\"]\n  29 -> 45 [size =\"25992192\"]\n  30 [size=\"64860160\", alpha=\"0.18\", expect_size=\"19458048\"] \n  30 -> 33 [size =\"19458048\"]\n  30 -> 36 [size =\"19458048\"]\n  30 -> 37 [size =\"19458048\"]\n  30 -> 38 [size =\"19458048\"]\n  30 -> 41 [size =\"19458048\"]\n  30 -> 42 [size =\"19458048\"]\n  30 -> 45 [size =\"19458048\"]\n  31 [size=\"151777280\", alpha=\"0.11\", expect_size=\"45533184\"] \n  31 -> 33 [size =\"45533184\"]\n  31 -> 36 [size =\"45533184\"]\n  31 -> 37 [size =\"45533184\"]\n  31 -> 41 [size =\"45533184\"]\n  31 -> 45 [size =\"45533184\"]\n  32 [size=\"119558827\", alpha=\"0.01\", expect_size=\"35867648\"] \n  33 [size=\"64204800\", alpha=\"0.16\", expect_size=\"19261440\"] \n  34 [size=\"101850453\", alpha=\"0.07\", expect_size=\"30555136\"] \n  35 [size=\"123354453\", alpha=\"0.18\", expect_size=\"37006336\"] \n  36 [size=\"35819520\", alpha=\"0.13\", expect_size=\"10745856\"] \n  37 [size=\"146022400\", alpha=\"0.08\", expect_size=\"43806720\"] \n  38 [size=\"101065387\", alpha=\"0.03\", expect_size=\"30319616\"] \n  39 [size=\"81827840\", alpha=\"0.15\", expect_size=\"24548352\"] \n  40 [size=\"108363093\", alpha=\"0.12\", expect_size=\"32508928\"] \n  41 [size=\"91835733\", alpha=\"0.01\", expect_size=\"27550720\"] \n  42 [size=\"22108160\", alpha=\"0.17\", expect_size=\"6632448\"] \n  43 [size=\"29692587\", alpha=\"0.19\", expect_size=\"8907776\"] \n  44 [size=\"152896853\", alpha=\"0.11\", expect_size=\"45869056\"] \n  45 [size=\"51643733\", alpha=\"0.07\", expect_size=\"15493120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20144640\", alpha=\"0.18\", expect_size=\"8057856\"] \n  1 -> 25 [size =\"8057856\"]\n  1 -> 26 [size =\"8057856\"]\n  1 -> 27 [size =\"8057856\"]\n  1 -> 29 [size =\"8057856\"]\n  1 -> 30 [size =\"8057856\"]\n  1 -> 31 [size =\"8057856\"]\n  1 -> 32 [size =\"8057856\"]\n  1 -> 34 [size =\"8057856\"]\n  1 -> 35 [size =\"8057856\"]\n  1 -> 38 [size =\"8057856\"]\n  1 -> 39 [size =\"8057856\"]\n  1 -> 40 [size =\"8057856\"]\n  1 -> 45 [size =\"8057856\"]\n  2 [size=\"101634560\", alpha=\"0.03\", expect_size=\"40653824\"] \n  2 -> 22 [size =\"40653824\"]\n  2 -> 24 [size =\"40653824\"]\n  2 -> 26 [size =\"40653824\"]\n  2 -> 28 [size =\"40653824\"]\n  2 -> 29 [size =\"40653824\"]\n  2 -> 31 [size =\"40653824\"]\n  2 -> 32 [size =\"40653824\"]\n  2 -> 33 [size =\"40653824\"]\n  2 -> 34 [size =\"40653824\"]\n  2 -> 35 [size =\"40653824\"]\n  2 -> 37 [size =\"40653824\"]\n  2 -> 38 [size =\"40653824\"]\n  2 -> 41 [size =\"40653824\"]\n  2 -> 45 [size =\"40653824\"]\n  3 [size=\"54586880\", alpha=\"0.09\", expect_size=\"21834752\"] \n  3 -> 29 [size =\"21834752\"]\n  3 -> 33 [size =\"21834752\"]\n  3 -> 34 [size =\"21834752\"]\n  3 -> 35 [size =\"21834752\"]\n  3 -> 38 [size =\"21834752\"]\n  3 -> 39 [size =\"21834752\"]\n  3 -> 41 [size =\"21834752\"]\n  3 -> 45 [size =\"21834752\"]\n  4 [size=\"107947520\", alpha=\"0.00\", expect_size=\"43179008\"] \n  4 -> 25 [size =\"43179008\"]\n  4 -> 27 [size =\"43179008\"]\n  4 -> 28 [size =\"43179008\"]\n  4 -> 29 [size =\"43179008\"]\n  4 -> 30 [size =\"43179008\"]\n  4 -> 31 [size =\"43179008\"]\n  4 -> 32 [size =\"43179008\"]\n  4 -> 33 [size =\"43179008\"]\n  4 -> 34 [size =\"43179008\"]\n  4 -> 35 [size =\"43179008\"]\n  4 -> 38 [size =\"43179008\"]\n  4 -> 39 [size =\"43179008\"]\n  4 -> 43 [size =\"43179008\"]\n  4 -> 45 [size =\"43179008\"]\n  5 [size=\"121208320\", alpha=\"0.15\", expect_size=\"48483328\"] \n  5 -> 22 [size =\"48483328\"]\n  5 -> 25 [size =\"48483328\"]\n  5 -> 26 [size =\"48483328\"]\n  5 -> 27 [size =\"48483328\"]\n  5 -> 28 [size =\"48483328\"]\n  5 -> 29 [size =\"48483328\"]\n  5 -> 30 [size =\"48483328\"]\n  5 -> 32 [size =\"48483328\"]\n  5 -> 33 [size =\"48483328\"]\n  5 -> 34 [size =\"48483328\"]\n  5 -> 38 [size =\"48483328\"]\n  5 -> 42 [size =\"48483328\"]\n  5 -> 43 [size =\"48483328\"]\n  5 -> 45 [size =\"48483328\"]\n  6 [size=\"122073600\", alpha=\"0.16\", expect_size=\"48829440\"] \n  6 -> 26 [size =\"48829440\"]\n  6 -> 27 [size =\"48829440\"]\n  6 -> 28 [size =\"48829440\"]\n  6 -> 29 [size =\"48829440\"]\n  6 -> 30 [size =\"48829440\"]\n  6 -> 31 [size =\"48829440\"]\n  6 -> 33 [size =\"48829440\"]\n  6 -> 34 [size =\"48829440\"]\n  6 -> 38 [size =\"48829440\"]\n  6 -> 41 [size =\"48829440\"]\n  6 -> 43 [size =\"48829440\"]\n  6 -> 45 [size =\"48829440\"]\n  7 [size=\"95365120\", alpha=\"0.17\", expect_size=\"38146048\"] \n  7 -> 24 [size =\"38146048\"]\n  7 -> 25 [size =\"38146048\"]\n  7 -> 26 [size =\"38146048\"]\n  7 -> 27 [size =\"38146048\"]\n  7 -> 29 [size =\"38146048\"]\n  7 -> 30 [size =\"38146048\"]\n  7 -> 31 [size =\"38146048\"]\n  7 -> 37 [size =\"38146048\"]\n  7 -> 38 [size =\"38146048\"]\n  7 -> 41 [size =\"38146048\"]\n  7 -> 43 [size =\"38146048\"]\n  7 -> 45 [size =\"38146048\"]\n  8 [size=\"18196480\", alpha=\"0.16\", expect_size=\"7278592\"] \n  8 -> 21 [size =\"7278592\"]\n  8 -> 26 [size =\"7278592\"]\n  8 -> 26 [size =\"7278592\"]\n  8 -> 27 [size =\"7278592\"]\n  8 -> 29 [size =\"7278592\"]\n  8 -> 30 [size =\"7278592\"]\n  8 -> 32 [size =\"7278592\"]\n  8 -> 33 [size =\"7278592\"]\n  8 -> 34 [size =\"7278592\"]\n  8 -> 35 [size =\"7278592\"]\n  8 -> 36 [size =\"7278592\"]\n  8 -> 38 [size =\"7278592\"]\n  8 -> 39 [size =\"7278592\"]\n  8 -> 41 [size =\"7278592\"]\n  8 -> 45 [size =\"7278592\"]\n  9 [size=\"66114560\", alpha=\"0.16\", expect_size=\"26445824\"] \n  9 -> 21 [size =\"26445824\"]\n  9 -> 23 [size =\"26445824\"]\n  9 -> 25 [size =\"26445824\"]\n  9 -> 27 [size =\"26445824\"]\n  9 -> 30 [size =\"26445824\"]\n  9 -> 31 [size =\"26445824\"]\n  9 -> 32 [size =\"26445824\"]\n  9 -> 33 [size =\"26445824\"]\n  9 -> 34 [size =\"26445824\"]\n  9 -> 38 [size =\"26445824\"]\n  9 -> 42 [size =\"26445824\"]\n  9 -> 43 [size =\"26445824\"]\n  9 -> 45 [size =\"26445824\"]\n  10 [size=\"73597440\", alpha=\"0.20\", expect_size=\"29438976\"] \n  10 -> 21 [size =\"29438976\"]\n  10 -> 23 [size =\"29438976\"]\n  10 -> 24 [size =\"29438976\"]\n  10 -> 25 [size =\"29438976\"]\n  10 -> 26 [size =\"29438976\"]\n  10 -> 27 [size =\"29438976\"]\n  10 -> 30 [size =\"29438976\"]\n  10 -> 35 [size =\"29438976\"]\n  10 -> 38 [size =\"29438976\"]\n  10 -> 38 [size =\"29438976\"]\n  10 -> 43 [size =\"29438976\"]\n  10 -> 43 [size =\"29438976\"]\n  10 -> 45 [size =\"29438976\"]\n  11 [size=\"51665920\", alpha=\"0.17\", expect_size=\"20666368\"] \n  11 -> 23 [size =\"20666368\"]\n  11 -> 24 [size =\"20666368\"]\n  11 -> 25 [size =\"20666368\"]\n  11 -> 26 [size =\"20666368\"]\n  11 -> 27 [size =\"20666368\"]\n  11 -> 27 [size =\"20666368\"]\n  11 -> 29 [size =\"20666368\"]\n  11 -> 30 [size =\"20666368\"]\n  11 -> 31 [size =\"20666368\"]\n  11 -> 32 [size =\"20666368\"]\n  11 -> 33 [size =\"20666368\"]\n  11 -> 35 [size =\"20666368\"]\n  11 -> 38 [size =\"20666368\"]\n  11 -> 39 [size =\"20666368\"]\n  11 -> 43 [size =\"20666368\"]\n  11 -> 45 [size =\"20666368\"]\n  12 [size=\"42170880\", alpha=\"0.04\", expect_size=\"16868352\"] \n  12 -> 23 [size =\"16868352\"]\n  12 -> 26 [size =\"16868352\"]\n  12 -> 27 [size =\"16868352\"]\n  12 -> 29 [size =\"16868352\"]\n  12 -> 30 [size =\"16868352\"]\n  12 -> 31 [size =\"16868352\"]\n  12 -> 33 [size =\"16868352\"]\n  12 -> 34 [size =\"16868352\"]\n  12 -> 35 [size =\"16868352\"]\n  12 -> 38 [size =\"16868352\"]\n  12 -> 39 [size =\"16868352\"]\n  12 -> 43 [size =\"16868352\"]\n  12 -> 45 [size =\"16868352\"]\n  13 [size=\"61923840\", alpha=\"0.07\", expect_size=\"24769536\"] \n  13 -> 23 [size =\"24769536\"]\n  13 -> 26 [size =\"24769536\"]\n  13 -> 27 [size =\"24769536\"]\n  13 -> 29 [size =\"24769536\"]\n  13 -> 30 [size =\"24769536\"]\n  13 -> 33 [size =\"24769536\"]\n  13 -> 33 [size =\"24769536\"]\n  13 -> 34 [size =\"24769536\"]\n  13 -> 38 [size =\"24769536\"]\n  13 -> 38 [size =\"24769536\"]\n  13 -> 44 [size =\"24769536\"]\n  13 -> 45 [size =\"24769536\"]\n  14 [size=\"117578240\", alpha=\"0.13\", expect_size=\"47031296\"] \n  14 -> 23 [size =\"47031296\"]\n  14 -> 24 [size =\"47031296\"]\n  14 -> 25 [size =\"47031296\"]\n  14 -> 26 [size =\"47031296\"]\n  14 -> 27 [size =\"47031296\"]\n  14 -> 29 [size =\"47031296\"]\n  14 -> 32 [size =\"47031296\"]\n  14 -> 33 [size =\"47031296\"]\n  14 -> 34 [size =\"47031296\"]\n  14 -> 39 [size =\"47031296\"]\n  14 -> 40 [size =\"47031296\"]\n  14 -> 44 [size =\"47031296\"]\n  14 -> 45 [size =\"47031296\"]\n  15 [size=\"118328320\", alpha=\"0.08\", expect_size=\"47331328\"] \n  15 -> 25 [size =\"47331328\"]\n  15 -> 26 [size =\"47331328\"]\n  15 -> 30 [size =\"47331328\"]\n  15 -> 31 [size =\"47331328\"]\n  15 -> 32 [size =\"47331328\"]\n  15 -> 33 [size =\"47331328\"]\n  15 -> 34 [size =\"47331328\"]\n  15 -> 35 [size =\"47331328\"]\n  15 -> 39 [size =\"47331328\"]\n  15 -> 41 [size =\"47331328\"]\n  15 -> 43 [size =\"47331328\"]\n  15 -> 44 [size =\"47331328\"]\n  15 -> 45 [size =\"47331328\"]\n  16 [size=\"88750080\", alpha=\"0.07\", expect_size=\"35500032\"] \n  16 -> 25 [size =\"35500032\"]\n  16 -> 30 [size =\"35500032\"]\n  16 -> 32 [size =\"35500032\"]\n  16 -> 33 [size =\"35500032\"]\n  16 -> 34 [size =\"35500032\"]\n  16 -> 35 [size =\"35500032\"]\n  16 -> 38 [size =\"35500032\"]\n  16 -> 39 [size =\"35500032\"]\n  16 -> 43 [size =\"35500032\"]\n  16 -> 44 [size =\"35500032\"]\n  16 -> 45 [size =\"35500032\"]\n  17 [size=\"63498240\", alpha=\"0.16\", expect_size=\"25399296\"] \n  17 -> 22 [size =\"25399296\"]\n  17 -> 24 [size =\"25399296\"]\n  17 -> 25 [size =\"25399296\"]\n  17 -> 26 [size =\"25399296\"]\n  17 -> 27 [size =\"25399296\"]\n  17 -> 30 [size =\"25399296\"]\n  17 -> 31 [size =\"25399296\"]\n  17 -> 32 [size =\"25399296\"]\n  17 -> 33 [size =\"25399296\"]\n  17 -> 34 [size =\"25399296\"]\n  17 -> 35 [size =\"25399296\"]\n  17 -> 38 [size =\"25399296\"]\n  17 -> 39 [size =\"25399296\"]\n  17 -> 41 [size =\"25399296\"]\n  17 -> 43 [size =\"25399296\"]\n  17 -> 44 [size =\"25399296\"]\n  18 [size=\"44032000\", alpha=\"0.12\", expect_size=\"17612800\"] \n  18 -> 25 [size =\"17612800\"]\n  18 -> 26 [size =\"17612800\"]\n  18 -> 29 [size =\"17612800\"]\n  18 -> 31 [size =\"17612800\"]\n  18 -> 32 [size =\"17612800\"]\n  18 -> 33 [size =\"17612800\"]\n  18 -> 34 [size =\"17612800\"]\n  18 -> 35 [size =\"17612800\"]\n  18 -> 40 [size =\"17612800\"]\n  18 -> 41 [size =\"17612800\"]\n  18 -> 42 [size =\"17612800\"]\n  18 -> 43 [size =\"17612800\"]\n  18 -> 44 [size =\"17612800\"]\n  19 [size=\"22187520\", alpha=\"0.20\", expect_size=\"8875008\"] \n  19 -> 25 [size =\"8875008\"]\n  19 -> 30 [size =\"8875008\"]\n  19 -> 32 [size =\"8875008\"]\n  19 -> 34 [size =\"8875008\"]\n  19 -> 35 [size =\"8875008\"]\n  19 -> 36 [size =\"8875008\"]\n  19 -> 39 [size =\"8875008\"]\n  19 -> 40 [size =\"8875008\"]\n  19 -> 41 [size =\"8875008\"]\n  19 -> 43 [size =\"8875008\"]\n  20 [size=\"118356480\", alpha=\"0.01\", expect_size=\"47342592\"] \n  20 -> 25 [size =\"47342592\"]\n  20 -> 26 [size =\"47342592\"]\n  20 -> 29 [size =\"47342592\"]\n  20 -> 31 [size =\"47342592\"]\n  20 -> 32 [size =\"47342592\"]\n  20 -> 34 [size =\"47342592\"]\n  20 -> 35 [size =\"47342592\"]\n  20 -> 38 [size =\"47342592\"]\n  20 -> 40 [size =\"47342592\"]\n  21 [size=\"117905920\", alpha=\"0.04\", expect_size=\"47162368\"] \n  22 [size=\"102548480\", alpha=\"0.02\", expect_size=\"41019392\"] \n  23 [size=\"123484160\", alpha=\"0.07\", expect_size=\"49393664\"] \n  24 [size=\"44902400\", alpha=\"0.08\", expect_size=\"17960960\"] \n  25 [size=\"122775040\", alpha=\"0.07\", expect_size=\"49110016\"] \n  26 [size=\"49280000\", alpha=\"0.05\", expect_size=\"19712000\"] \n  27 [size=\"93327360\", alpha=\"0.17\", expect_size=\"37330944\"] \n  28 [size=\"69288960\", alpha=\"0.09\", expect_size=\"27715584\"] \n  29 [size=\"19368960\", alpha=\"0.11\", expect_size=\"7747584\"] \n  30 [size=\"16616960\", alpha=\"0.03\", expect_size=\"6646784\"] \n  31 [size=\"23782400\", alpha=\"0.01\", expect_size=\"9512960\"] \n  32 [size=\"47900160\", alpha=\"0.05\", expect_size=\"19160064\"] \n  33 [size=\"59532800\", alpha=\"0.16\", expect_size=\"23813120\"] \n  34 [size=\"100165120\", alpha=\"0.05\", expect_size=\"40066048\"] \n  35 [size=\"28707840\", alpha=\"0.13\", expect_size=\"11483136\"] \n  36 [size=\"71226880\", alpha=\"0.13\", expect_size=\"28490752\"] \n  37 [size=\"100759040\", alpha=\"0.01\", expect_size=\"40303616\"] \n  38 [size=\"81602560\", alpha=\"0.15\", expect_size=\"32641024\"] \n  39 [size=\"18844160\", alpha=\"0.10\", expect_size=\"7537664\"] \n  40 [size=\"83461120\", alpha=\"0.03\", expect_size=\"33384448\"] \n  41 [size=\"100011520\", alpha=\"0.14\", expect_size=\"40004608\"] \n  42 [size=\"107054080\", alpha=\"0.00\", expect_size=\"42821632\"] \n  43 [size=\"15692800\", alpha=\"0.05\", expect_size=\"6277120\"] \n  44 [size=\"110673920\", alpha=\"0.15\", expect_size=\"44269568\"] \n  45 [size=\"24611840\", alpha=\"0.04\", expect_size=\"9844736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24514560\", alpha=\"0.08\", expect_size=\"9805824\"] \n  1 -> 16 [size =\"9805824\"]\n  1 -> 18 [size =\"9805824\"]\n  1 -> 21 [size =\"9805824\"]\n  2 [size=\"62059520\", alpha=\"0.01\", expect_size=\"24823808\"] \n  2 -> 18 [size =\"24823808\"]\n  2 -> 19 [size =\"24823808\"]\n  2 -> 21 [size =\"24823808\"]\n  2 -> 22 [size =\"24823808\"]\n  2 -> 23 [size =\"24823808\"]\n  2 -> 24 [size =\"24823808\"]\n  3 [size=\"74744320\", alpha=\"0.17\", expect_size=\"29897728\"] \n  3 -> 18 [size =\"29897728\"]\n  3 -> 23 [size =\"29897728\"]\n  3 -> 24 [size =\"29897728\"]\n  3 -> 26 [size =\"29897728\"]\n  4 [size=\"101982720\", alpha=\"0.15\", expect_size=\"40793088\"] \n  4 -> 18 [size =\"40793088\"]\n  4 -> 23 [size =\"40793088\"]\n  5 [size=\"61345280\", alpha=\"0.09\", expect_size=\"24538112\"] \n  5 -> 15 [size =\"24538112\"]\n  5 -> 16 [size =\"24538112\"]\n  5 -> 20 [size =\"24538112\"]\n  5 -> 22 [size =\"24538112\"]\n  5 -> 24 [size =\"24538112\"]\n  5 -> 25 [size =\"24538112\"]\n  6 [size=\"101982720\", alpha=\"0.04\", expect_size=\"40793088\"] \n  6 -> 15 [size =\"40793088\"]\n  6 -> 16 [size =\"40793088\"]\n  6 -> 23 [size =\"40793088\"]\n  7 [size=\"113712640\", alpha=\"0.16\", expect_size=\"45485056\"] \n  7 -> 14 [size =\"45485056\"]\n  7 -> 16 [size =\"45485056\"]\n  7 -> 20 [size =\"45485056\"]\n  7 -> 21 [size =\"45485056\"]\n  7 -> 23 [size =\"45485056\"]\n  7 -> 24 [size =\"45485056\"]\n  8 [size=\"16135680\", alpha=\"0.12\", expect_size=\"6454272\"] \n  8 -> 20 [size =\"6454272\"]\n  8 -> 21 [size =\"6454272\"]\n  8 -> 25 [size =\"6454272\"]\n  9 [size=\"24407040\", alpha=\"0.10\", expect_size=\"9762816\"] \n  9 -> 16 [size =\"9762816\"]\n  9 -> 25 [size =\"9762816\"]\n  10 [size=\"78699520\", alpha=\"0.03\", expect_size=\"31479808\"] \n  10 -> 14 [size =\"31479808\"]\n  10 -> 17 [size =\"31479808\"]\n  10 -> 24 [size =\"31479808\"]\n  11 [size=\"126446080\", alpha=\"0.18\", expect_size=\"50578432\"] \n  11 -> 21 [size =\"50578432\"]\n  11 -> 25 [size =\"50578432\"]\n  12 [size=\"53299200\", alpha=\"0.03\", expect_size=\"21319680\"] \n  12 -> 19 [size =\"21319680\"]\n  12 -> 20 [size =\"21319680\"]\n  12 -> 21 [size =\"21319680\"]\n  12 -> 22 [size =\"21319680\"]\n  12 -> 23 [size =\"21319680\"]\n  12 -> 24 [size =\"21319680\"]\n  13 [size=\"59691520\", alpha=\"0.09\", expect_size=\"23876608\"] \n  13 -> 15 [size =\"23876608\"]\n  14 [size=\"44515840\", alpha=\"0.09\", expect_size=\"17806336\"] \n  14 -> 30 [size =\"17806336\"]\n  14 -> 31 [size =\"17806336\"]\n  14 -> 31 [size =\"17806336\"]\n  14 -> 34 [size =\"17806336\"]\n  15 [size=\"13493760\", alpha=\"0.04\", expect_size=\"5397504\"] \n  15 -> 35 [size =\"5397504\"]\n  15 -> 37 [size =\"5397504\"]\n  16 [size=\"66557440\", alpha=\"0.19\", expect_size=\"26622976\"] \n  16 -> 28 [size =\"26622976\"]\n  16 -> 32 [size =\"26622976\"]\n  16 -> 33 [size =\"26622976\"]\n  17 [size=\"90606080\", alpha=\"0.13\", expect_size=\"36242432\"] \n  17 -> 28 [size =\"36242432\"]\n  17 -> 34 [size =\"36242432\"]\n  17 -> 37 [size =\"36242432\"]\n  18 [size=\"64913920\", alpha=\"0.18\", expect_size=\"25965568\"] \n  18 -> 29 [size =\"25965568\"]\n  18 -> 30 [size =\"25965568\"]\n  18 -> 35 [size =\"25965568\"]\n  18 -> 38 [size =\"25965568\"]\n  18 -> 40 [size =\"25965568\"]\n  19 [size=\"20249600\", alpha=\"0.05\", expect_size=\"8099840\"] \n  19 -> 28 [size =\"8099840\"]\n  19 -> 40 [size =\"8099840\"]\n  20 [size=\"77731840\", alpha=\"0.16\", expect_size=\"31092736\"] \n  20 -> 27 [size =\"31092736\"]\n  20 -> 35 [size =\"31092736\"]\n  21 [size=\"94428160\", alpha=\"0.08\", expect_size=\"37771264\"] \n  21 -> 29 [size =\"37771264\"]\n  22 [size=\"83151360\", alpha=\"0.09\", expect_size=\"33260544\"] \n  22 -> 27 [size =\"33260544\"]\n  22 -> 28 [size =\"33260544\"]\n  22 -> 29 [size =\"33260544\"]\n  22 -> 30 [size =\"33260544\"]\n  22 -> 31 [size =\"33260544\"]\n  22 -> 32 [size =\"33260544\"]\n  22 -> 33 [size =\"33260544\"]\n  23 [size=\"102878720\", alpha=\"0.00\", expect_size=\"41151488\"] \n  23 -> 28 [size =\"41151488\"]\n  23 -> 29 [size =\"41151488\"]\n  23 -> 30 [size =\"41151488\"]\n  23 -> 31 [size =\"41151488\"]\n  23 -> 33 [size =\"41151488\"]\n  24 [size=\"37335040\", alpha=\"0.06\", expect_size=\"14934016\"] \n  24 -> 31 [size =\"14934016\"]\n  24 -> 33 [size =\"14934016\"]\n  24 -> 37 [size =\"14934016\"]\n  24 -> 39 [size =\"14934016\"]\n  25 [size=\"88363520\", alpha=\"0.01\", expect_size=\"35345408\"] \n  25 -> 31 [size =\"35345408\"]\n  25 -> 33 [size =\"35345408\"]\n  25 -> 34 [size =\"35345408\"]\n  26 [size=\"111339520\", alpha=\"0.10\", expect_size=\"44535808\"] \n  26 -> 28 [size =\"44535808\"]\n  26 -> 29 [size =\"44535808\"]\n  26 -> 31 [size =\"44535808\"]\n  26 -> 36 [size =\"44535808\"]\n  26 -> 40 [size =\"44535808\"]\n  27 [size=\"103098880\", alpha=\"0.17\", expect_size=\"41239552\"] \n  27 -> 43 [size =\"41239552\"]\n  28 [size=\"64724480\", alpha=\"0.04\", expect_size=\"25889792\"] \n  28 -> 45 [size =\"25889792\"]\n  29 [size=\"54824960\", alpha=\"0.13\", expect_size=\"21929984\"] \n  29 -> 42 [size =\"21929984\"]\n  29 -> 45 [size =\"21929984\"]\n  30 [size=\"87114240\", alpha=\"0.13\", expect_size=\"34845696\"] \n  30 -> 42 [size =\"34845696\"]\n  30 -> 43 [size =\"34845696\"]\n  30 -> 45 [size =\"34845696\"]\n  31 [size=\"63162880\", alpha=\"0.12\", expect_size=\"25265152\"] \n  31 -> 42 [size =\"25265152\"]\n  31 -> 43 [size =\"25265152\"]\n  31 -> 45 [size =\"25265152\"]\n  32 [size=\"112345600\", alpha=\"0.18\", expect_size=\"44938240\"] \n  32 -> 41 [size =\"44938240\"]\n  32 -> 43 [size =\"44938240\"]\n  32 -> 44 [size =\"44938240\"]\n  32 -> 45 [size =\"44938240\"]\n  33 [size=\"47690240\", alpha=\"0.12\", expect_size=\"19076096\"] \n  33 -> 41 [size =\"19076096\"]\n  33 -> 43 [size =\"19076096\"]\n  33 -> 44 [size =\"19076096\"]\n  34 [size=\"48796160\", alpha=\"0.12\", expect_size=\"19518464\"] \n  34 -> 41 [size =\"19518464\"]\n  34 -> 43 [size =\"19518464\"]\n  35 [size=\"86579200\", alpha=\"0.11\", expect_size=\"34631680\"] \n  36 [size=\"91315200\", alpha=\"0.19\", expect_size=\"36526080\"] \n  37 [size=\"33912320\", alpha=\"0.01\", expect_size=\"13564928\"] \n  37 -> 41 [size =\"13564928\"]\n  38 [size=\"14978560\", alpha=\"0.11\", expect_size=\"5991424\"] \n  38 -> 42 [size =\"5991424\"]\n  38 -> 43 [size =\"5991424\"]\n  38 -> 45 [size =\"5991424\"]\n  39 [size=\"37544960\", alpha=\"0.03\", expect_size=\"15017984\"] \n  40 [size=\"112908800\", alpha=\"0.06\", expect_size=\"45163520\"] \n  40 -> 41 [size =\"45163520\"]\n  40 -> 42 [size =\"45163520\"]\n  41 [size=\"70737920\", alpha=\"0.02\", expect_size=\"28295168\"] \n  42 [size=\"24368640\", alpha=\"0.10\", expect_size=\"9747456\"] \n  43 [size=\"13998080\", alpha=\"0.13\", expect_size=\"5599232\"] \n  44 [size=\"86208000\", alpha=\"0.01\", expect_size=\"34483200\"] \n  45 [size=\"36482560\", alpha=\"0.01\", expect_size=\"14593024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89705813\", alpha=\"0.02\", expect_size=\"26911744\"] \n  1 -> 2 [size =\"26911744\"]\n  2 [size=\"84937387\", alpha=\"0.13\", expect_size=\"25481216\"] \n  2 -> 3 [size =\"25481216\"]\n  3 [size=\"146274987\", alpha=\"0.10\", expect_size=\"43882496\"] \n  3 -> 4 [size =\"43882496\"]\n  4 [size=\"127245653\", alpha=\"0.07\", expect_size=\"38173696\"] \n  4 -> 5 [size =\"38173696\"]\n  5 [size=\"132188160\", alpha=\"0.20\", expect_size=\"39656448\"] \n  5 -> 6 [size =\"39656448\"]\n  6 [size=\"139161600\", alpha=\"0.02\", expect_size=\"41748480\"] \n  6 -> 7 [size =\"41748480\"]\n  7 [size=\"118323200\", alpha=\"0.09\", expect_size=\"35496960\"] \n  7 -> 8 [size =\"35496960\"]\n  8 [size=\"138120533\", alpha=\"0.03\", expect_size=\"41436160\"] \n  8 -> 9 [size =\"41436160\"]\n  9 [size=\"157794987\", alpha=\"0.14\", expect_size=\"47338496\"] \n  9 -> 10 [size =\"47338496\"]\n  10 [size=\"115814400\", alpha=\"0.02\", expect_size=\"34744320\"] \n  10 -> 11 [size =\"34744320\"]\n  11 [size=\"29040640\", alpha=\"0.03\", expect_size=\"8712192\"] \n  11 -> 12 [size =\"8712192\"]\n  12 [size=\"43042133\", alpha=\"0.19\", expect_size=\"12912640\"] \n  12 -> 13 [size =\"12912640\"]\n  13 [size=\"147486720\", alpha=\"0.19\", expect_size=\"44246016\"] \n  13 -> 14 [size =\"44246016\"]\n  14 [size=\"72618667\", alpha=\"0.13\", expect_size=\"21785600\"] \n  14 -> 15 [size =\"21785600\"]\n  15 [size=\"128965973\", alpha=\"0.18\", expect_size=\"38689792\"] \n  15 -> 16 [size =\"38689792\"]\n  16 [size=\"125207893\", alpha=\"0.12\", expect_size=\"37562368\"] \n  16 -> 17 [size =\"37562368\"]\n  17 [size=\"141370027\", alpha=\"0.17\", expect_size=\"42411008\"] \n  17 -> 18 [size =\"42411008\"]\n  18 [size=\"57999360\", alpha=\"0.04\", expect_size=\"17399808\"] \n  18 -> 19 [size =\"17399808\"]\n  19 [size=\"83203413\", alpha=\"0.00\", expect_size=\"24961024\"] \n  19 -> 20 [size =\"24961024\"]\n  20 [size=\"36171093\", alpha=\"0.18\", expect_size=\"10851328\"] \n  20 -> 21 [size =\"10851328\"]\n  21 [size=\"52442453\", alpha=\"0.05\", expect_size=\"15732736\"] \n  21 -> 22 [size =\"15732736\"]\n  22 [size=\"74656427\", alpha=\"0.00\", expect_size=\"22396928\"] \n  22 -> 23 [size =\"22396928\"]\n  23 [size=\"63771307\", alpha=\"0.12\", expect_size=\"19131392\"] \n  23 -> 24 [size =\"19131392\"]\n  24 [size=\"56582827\", alpha=\"0.18\", expect_size=\"16974848\"] \n  24 -> 25 [size =\"16974848\"]\n  25 [size=\"156344320\", alpha=\"0.18\", expect_size=\"46903296\"] \n  25 -> 26 [size =\"46903296\"]\n  26 [size=\"143271253\", alpha=\"0.14\", expect_size=\"42981376\"] \n  26 -> 27 [size =\"42981376\"]\n  27 [size=\"81305600\", alpha=\"0.02\", expect_size=\"24391680\"] \n  27 -> 28 [size =\"24391680\"]\n  28 [size=\"58463573\", alpha=\"0.06\", expect_size=\"17539072\"] \n  28 -> 29 [size =\"17539072\"]\n  29 [size=\"91589973\", alpha=\"0.08\", expect_size=\"27476992\"] \n  29 -> 30 [size =\"27476992\"]\n  30 [size=\"94347947\", alpha=\"0.02\", expect_size=\"28304384\"] \n  30 -> 31 [size =\"28304384\"]\n  31 [size=\"78438400\", alpha=\"0.18\", expect_size=\"23531520\"] \n  31 -> 32 [size =\"23531520\"]\n  32 [size=\"116090880\", alpha=\"0.17\", expect_size=\"34827264\"] \n  32 -> 33 [size =\"34827264\"]\n  33 [size=\"117483520\", alpha=\"0.13\", expect_size=\"35245056\"] \n  33 -> 34 [size =\"35245056\"]\n  34 [size=\"54132053\", alpha=\"0.15\", expect_size=\"16239616\"] \n  34 -> 35 [size =\"16239616\"]\n  35 [size=\"35805867\", alpha=\"0.12\", expect_size=\"10741760\"] \n  35 -> 36 [size =\"10741760\"]\n  36 [size=\"19930453\", alpha=\"0.02\", expect_size=\"5979136\"] \n  36 -> 37 [size =\"5979136\"]\n  37 [size=\"128191147\", alpha=\"0.09\", expect_size=\"38457344\"] \n  37 -> 38 [size =\"38457344\"]\n  38 [size=\"146868907\", alpha=\"0.00\", expect_size=\"44060672\"] \n  38 -> 39 [size =\"44060672\"]\n  39 [size=\"39321600\", alpha=\"0.20\", expect_size=\"11796480\"] \n  39 -> 40 [size =\"11796480\"]\n  40 [size=\"103154347\", alpha=\"0.02\", expect_size=\"30946304\"] \n  40 -> 41 [size =\"30946304\"]\n  41 [size=\"122135893\", alpha=\"0.08\", expect_size=\"36640768\"] \n  41 -> 42 [size =\"36640768\"]\n  42 [size=\"107830613\", alpha=\"0.02\", expect_size=\"32349184\"] \n  42 -> 43 [size =\"32349184\"]\n  43 [size=\"85811200\", alpha=\"0.02\", expect_size=\"25743360\"] \n  43 -> 44 [size =\"25743360\"]\n  44 [size=\"28801707\", alpha=\"0.06\", expect_size=\"8640512\"] \n  44 -> 45 [size =\"8640512\"]\n  45 [size=\"149230933\", alpha=\"0.09\", expect_size=\"44769280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36567040\", alpha=\"0.11\", expect_size=\"10970112\"] \n  1 -> 17 [size =\"10970112\"]\n  1 -> 18 [size =\"10970112\"]\n  1 -> 19 [size =\"10970112\"]\n  1 -> 21 [size =\"10970112\"]\n  1 -> 22 [size =\"10970112\"]\n  1 -> 23 [size =\"10970112\"]\n  1 -> 25 [size =\"10970112\"]\n  1 -> 26 [size =\"10970112\"]\n  2 [size=\"30573227\", alpha=\"0.00\", expect_size=\"9171968\"] \n  2 -> 17 [size =\"9171968\"]\n  2 -> 18 [size =\"9171968\"]\n  2 -> 20 [size =\"9171968\"]\n  2 -> 21 [size =\"9171968\"]\n  2 -> 23 [size =\"9171968\"]\n  2 -> 24 [size =\"9171968\"]\n  2 -> 25 [size =\"9171968\"]\n  3 [size=\"114967893\", alpha=\"0.13\", expect_size=\"34490368\"] \n  3 -> 17 [size =\"34490368\"]\n  3 -> 21 [size =\"34490368\"]\n  3 -> 22 [size =\"34490368\"]\n  3 -> 23 [size =\"34490368\"]\n  4 [size=\"144930133\", alpha=\"0.11\", expect_size=\"43479040\"] \n  4 -> 17 [size =\"43479040\"]\n  4 -> 18 [size =\"43479040\"]\n  4 -> 21 [size =\"43479040\"]\n  4 -> 25 [size =\"43479040\"]\n  5 [size=\"173806933\", alpha=\"0.03\", expect_size=\"52142080\"] \n  5 -> 18 [size =\"52142080\"]\n  5 -> 18 [size =\"52142080\"]\n  5 -> 21 [size =\"52142080\"]\n  5 -> 22 [size =\"52142080\"]\n  5 -> 24 [size =\"52142080\"]\n  6 [size=\"78325760\", alpha=\"0.07\", expect_size=\"23497728\"] \n  6 -> 17 [size =\"23497728\"]\n  6 -> 18 [size =\"23497728\"]\n  6 -> 20 [size =\"23497728\"]\n  6 -> 21 [size =\"23497728\"]\n  6 -> 23 [size =\"23497728\"]\n  7 [size=\"135686827\", alpha=\"0.02\", expect_size=\"40706048\"] \n  7 -> 18 [size =\"40706048\"]\n  7 -> 21 [size =\"40706048\"]\n  7 -> 22 [size =\"40706048\"]\n  7 -> 24 [size =\"40706048\"]\n  7 -> 26 [size =\"40706048\"]\n  8 [size=\"60921173\", alpha=\"0.09\", expect_size=\"18276352\"] \n  8 -> 18 [size =\"18276352\"]\n  8 -> 21 [size =\"18276352\"]\n  8 -> 24 [size =\"18276352\"]\n  8 -> 26 [size =\"18276352\"]\n  9 [size=\"62006613\", alpha=\"0.02\", expect_size=\"18601984\"] \n  9 -> 17 [size =\"18601984\"]\n  9 -> 20 [size =\"18601984\"]\n  9 -> 21 [size =\"18601984\"]\n  9 -> 24 [size =\"18601984\"]\n  9 -> 25 [size =\"18601984\"]\n  9 -> 26 [size =\"18601984\"]\n  10 [size=\"18237440\", alpha=\"0.07\", expect_size=\"5471232\"] \n  10 -> 17 [size =\"5471232\"]\n  10 -> 21 [size =\"5471232\"]\n  10 -> 23 [size =\"5471232\"]\n  10 -> 24 [size =\"5471232\"]\n  10 -> 26 [size =\"5471232\"]\n  10 -> 26 [size =\"5471232\"]\n  11 [size=\"77407573\", alpha=\"0.07\", expect_size=\"23222272\"] \n  11 -> 18 [size =\"23222272\"]\n  11 -> 20 [size =\"23222272\"]\n  11 -> 21 [size =\"23222272\"]\n  11 -> 22 [size =\"23222272\"]\n  11 -> 24 [size =\"23222272\"]\n  11 -> 26 [size =\"23222272\"]\n  12 [size=\"162290347\", alpha=\"0.06\", expect_size=\"48687104\"] \n  12 -> 17 [size =\"48687104\"]\n  12 -> 18 [size =\"48687104\"]\n  12 -> 23 [size =\"48687104\"]\n  12 -> 24 [size =\"48687104\"]\n  12 -> 26 [size =\"48687104\"]\n  12 -> 26 [size =\"48687104\"]\n  13 [size=\"164372480\", alpha=\"0.05\", expect_size=\"49311744\"] \n  13 -> 17 [size =\"49311744\"]\n  13 -> 18 [size =\"49311744\"]\n  13 -> 19 [size =\"49311744\"]\n  13 -> 20 [size =\"49311744\"]\n  13 -> 21 [size =\"49311744\"]\n  13 -> 23 [size =\"49311744\"]\n  13 -> 24 [size =\"49311744\"]\n  14 [size=\"110346240\", alpha=\"0.02\", expect_size=\"33103872\"] \n  14 -> 18 [size =\"33103872\"]\n  14 -> 20 [size =\"33103872\"]\n  14 -> 21 [size =\"33103872\"]\n  14 -> 22 [size =\"33103872\"]\n  15 [size=\"38813013\", alpha=\"0.02\", expect_size=\"11643904\"] \n  15 -> 16 [size =\"11643904\"]\n  15 -> 17 [size =\"11643904\"]\n  15 -> 18 [size =\"11643904\"]\n  15 -> 21 [size =\"11643904\"]\n  15 -> 25 [size =\"11643904\"]\n  15 -> 26 [size =\"11643904\"]\n  16 [size=\"58798080\", alpha=\"0.12\", expect_size=\"17639424\"] \n  16 -> 27 [size =\"17639424\"]\n  16 -> 31 [size =\"17639424\"]\n  16 -> 32 [size =\"17639424\"]\n  16 -> 33 [size =\"17639424\"]\n  16 -> 34 [size =\"17639424\"]\n  17 [size=\"110554453\", alpha=\"0.04\", expect_size=\"33166336\"] \n  17 -> 28 [size =\"33166336\"]\n  17 -> 31 [size =\"33166336\"]\n  17 -> 34 [size =\"33166336\"]\n  17 -> 37 [size =\"33166336\"]\n  18 [size=\"126248960\", alpha=\"0.03\", expect_size=\"37874688\"] \n  18 -> 27 [size =\"37874688\"]\n  18 -> 30 [size =\"37874688\"]\n  18 -> 31 [size =\"37874688\"]\n  18 -> 34 [size =\"37874688\"]\n  18 -> 35 [size =\"37874688\"]\n  18 -> 36 [size =\"37874688\"]\n  18 -> 37 [size =\"37874688\"]\n  19 [size=\"43595093\", alpha=\"0.06\", expect_size=\"13078528\"] \n  19 -> 27 [size =\"13078528\"]\n  19 -> 28 [size =\"13078528\"]\n  19 -> 34 [size =\"13078528\"]\n  19 -> 34 [size =\"13078528\"]\n  19 -> 35 [size =\"13078528\"]\n  19 -> 37 [size =\"13078528\"]\n  20 [size=\"61791573\", alpha=\"0.12\", expect_size=\"18537472\"] \n  20 -> 31 [size =\"18537472\"]\n  20 -> 34 [size =\"18537472\"]\n  20 -> 34 [size =\"18537472\"]\n  20 -> 35 [size =\"18537472\"]\n  20 -> 35 [size =\"18537472\"]\n  20 -> 37 [size =\"18537472\"]\n  21 [size=\"119900160\", alpha=\"0.00\", expect_size=\"35970048\"] \n  21 -> 30 [size =\"35970048\"]\n  21 -> 31 [size =\"35970048\"]\n  21 -> 35 [size =\"35970048\"]\n  22 [size=\"18138453\", alpha=\"0.10\", expect_size=\"5441536\"] \n  22 -> 29 [size =\"5441536\"]\n  22 -> 31 [size =\"5441536\"]\n  22 -> 37 [size =\"5441536\"]\n  23 [size=\"65546240\", alpha=\"0.12\", expect_size=\"19663872\"] \n  23 -> 27 [size =\"19663872\"]\n  23 -> 28 [size =\"19663872\"]\n  23 -> 29 [size =\"19663872\"]\n  23 -> 31 [size =\"19663872\"]\n  23 -> 37 [size =\"19663872\"]\n  24 [size=\"103406933\", alpha=\"0.11\", expect_size=\"31022080\"] \n  24 -> 27 [size =\"31022080\"]\n  24 -> 30 [size =\"31022080\"]\n  24 -> 32 [size =\"31022080\"]\n  24 -> 34 [size =\"31022080\"]\n  24 -> 37 [size =\"31022080\"]\n  25 [size=\"119033173\", alpha=\"0.10\", expect_size=\"35709952\"] \n  25 -> 27 [size =\"35709952\"]\n  25 -> 37 [size =\"35709952\"]\n  26 [size=\"132631893\", alpha=\"0.16\", expect_size=\"39789568\"] \n  26 -> 30 [size =\"39789568\"]\n  26 -> 34 [size =\"39789568\"]\n  26 -> 37 [size =\"39789568\"]\n  27 [size=\"70956373\", alpha=\"0.17\", expect_size=\"21286912\"] \n  27 -> 38 [size =\"21286912\"]\n  27 -> 39 [size =\"21286912\"]\n  27 -> 42 [size =\"21286912\"]\n  28 [size=\"104512853\", alpha=\"0.04\", expect_size=\"31353856\"] \n  28 -> 38 [size =\"31353856\"]\n  28 -> 39 [size =\"31353856\"]\n  28 -> 42 [size =\"31353856\"]\n  29 [size=\"127395840\", alpha=\"0.16\", expect_size=\"38218752\"] \n  29 -> 41 [size =\"38218752\"]\n  29 -> 44 [size =\"38218752\"]\n  30 [size=\"173824000\", alpha=\"0.09\", expect_size=\"52147200\"] \n  30 -> 40 [size =\"52147200\"]\n  30 -> 42 [size =\"52147200\"]\n  30 -> 43 [size =\"52147200\"]\n  31 [size=\"109315413\", alpha=\"0.09\", expect_size=\"32794624\"] \n  31 -> 39 [size =\"32794624\"]\n  31 -> 42 [size =\"32794624\"]\n  31 -> 43 [size =\"32794624\"]\n  31 -> 45 [size =\"32794624\"]\n  32 [size=\"110254080\", alpha=\"0.07\", expect_size=\"33076224\"] \n  32 -> 39 [size =\"33076224\"]\n  32 -> 41 [size =\"33076224\"]\n  32 -> 42 [size =\"33076224\"]\n  32 -> 43 [size =\"33076224\"]\n  32 -> 44 [size =\"33076224\"]\n  33 [size=\"32450560\", alpha=\"0.05\", expect_size=\"9735168\"] \n  33 -> 40 [size =\"9735168\"]\n  33 -> 43 [size =\"9735168\"]\n  33 -> 44 [size =\"9735168\"]\n  34 [size=\"130682880\", alpha=\"0.14\", expect_size=\"39204864\"] \n  34 -> 43 [size =\"39204864\"]\n  34 -> 44 [size =\"39204864\"]\n  35 [size=\"60549120\", alpha=\"0.05\", expect_size=\"18164736\"] \n  35 -> 44 [size =\"18164736\"]\n  35 -> 45 [size =\"18164736\"]\n  36 [size=\"135662933\", alpha=\"0.02\", expect_size=\"40698880\"] \n  36 -> 42 [size =\"40698880\"]\n  36 -> 45 [size =\"40698880\"]\n  37 [size=\"102304427\", alpha=\"0.11\", expect_size=\"30691328\"] \n  37 -> 39 [size =\"30691328\"]\n  37 -> 45 [size =\"30691328\"]\n  38 [size=\"78687573\", alpha=\"0.14\", expect_size=\"23606272\"] \n  39 [size=\"108253867\", alpha=\"0.20\", expect_size=\"32476160\"] \n  40 [size=\"78247253\", alpha=\"0.12\", expect_size=\"23474176\"] \n  41 [size=\"146722133\", alpha=\"0.16\", expect_size=\"44016640\"] \n  42 [size=\"59030187\", alpha=\"0.01\", expect_size=\"17709056\"] \n  43 [size=\"117278720\", alpha=\"0.12\", expect_size=\"35183616\"] \n  44 [size=\"153791147\", alpha=\"0.14\", expect_size=\"46137344\"] \n  45 [size=\"104154453\", alpha=\"0.08\", expect_size=\"31246336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153900373\", alpha=\"0.11\", expect_size=\"46170112\"] \n  1 -> 7 [size =\"46170112\"]\n  2 [size=\"131164160\", alpha=\"0.19\", expect_size=\"39349248\"] \n  2 -> 6 [size =\"39349248\"]\n  2 -> 8 [size =\"39349248\"]\n  3 [size=\"123159893\", alpha=\"0.02\", expect_size=\"36947968\"] \n  3 -> 5 [size =\"36947968\"]\n  3 -> 7 [size =\"36947968\"]\n  4 [size=\"135840427\", alpha=\"0.18\", expect_size=\"40752128\"] \n  5 [size=\"94464000\", alpha=\"0.18\", expect_size=\"28339200\"] \n  5 -> 10 [size =\"28339200\"]\n  5 -> 11 [size =\"28339200\"]\n  6 [size=\"85466453\", alpha=\"0.15\", expect_size=\"25639936\"] \n  6 -> 12 [size =\"25639936\"]\n  7 [size=\"88866133\", alpha=\"0.03\", expect_size=\"26659840\"] \n  7 -> 9 [size =\"26659840\"]\n  8 [size=\"52384427\", alpha=\"0.15\", expect_size=\"15715328\"] \n  8 -> 9 [size =\"15715328\"]\n  8 -> 11 [size =\"15715328\"]\n  9 [size=\"160952320\", alpha=\"0.10\", expect_size=\"48285696\"] \n  9 -> 13 [size =\"48285696\"]\n  10 [size=\"155982507\", alpha=\"0.17\", expect_size=\"46794752\"] \n  10 -> 13 [size =\"46794752\"]\n  11 [size=\"73512960\", alpha=\"0.08\", expect_size=\"22053888\"] \n  12 [size=\"156422827\", alpha=\"0.11\", expect_size=\"46926848\"] \n  13 [size=\"149186560\", alpha=\"0.19\", expect_size=\"44755968\"] \n  13 -> 14 [size =\"44755968\"]\n  13 -> 15 [size =\"44755968\"]\n  14 [size=\"161580373\", alpha=\"0.06\", expect_size=\"48474112\"] \n  14 -> 16 [size =\"48474112\"]\n  15 [size=\"144175787\", alpha=\"0.12\", expect_size=\"43252736\"] \n  15 -> 17 [size =\"43252736\"]\n  16 [size=\"124709547\", alpha=\"0.18\", expect_size=\"37412864\"] \n  16 -> 18 [size =\"37412864\"]\n  16 -> 19 [size =\"37412864\"]\n  16 -> 20 [size =\"37412864\"]\n  17 [size=\"83940693\", alpha=\"0.13\", expect_size=\"25182208\"] \n  18 [size=\"111073280\", alpha=\"0.12\", expect_size=\"33321984\"] \n  18 -> 21 [size =\"33321984\"]\n  19 [size=\"70109867\", alpha=\"0.04\", expect_size=\"21032960\"] \n  20 [size=\"150596267\", alpha=\"0.15\", expect_size=\"45178880\"] \n  20 -> 21 [size =\"45178880\"]\n  20 -> 22 [size =\"45178880\"]\n  21 [size=\"129256107\", alpha=\"0.02\", expect_size=\"38776832\"] \n  21 -> 23 [size =\"38776832\"]\n  21 -> 24 [size =\"38776832\"]\n  22 [size=\"33710080\", alpha=\"0.04\", expect_size=\"10113024\"] \n  22 -> 25 [size =\"10113024\"]\n  23 [size=\"123927893\", alpha=\"0.00\", expect_size=\"37178368\"] \n  24 [size=\"114298880\", alpha=\"0.11\", expect_size=\"34289664\"] \n  24 -> 26 [size =\"34289664\"]\n  24 -> 27 [size =\"34289664\"]\n  25 [size=\"163225600\", alpha=\"0.11\", expect_size=\"48967680\"] \n  25 -> 28 [size =\"48967680\"]\n  26 [size=\"102304427\", alpha=\"0.00\", expect_size=\"30691328\"] \n  26 -> 29 [size =\"30691328\"]\n  26 -> 30 [size =\"30691328\"]\n  27 [size=\"84961280\", alpha=\"0.19\", expect_size=\"25488384\"] \n  28 [size=\"31696213\", alpha=\"0.01\", expect_size=\"9508864\"] \n  28 -> 30 [size =\"9508864\"]\n  28 -> 31 [size =\"9508864\"]\n  29 [size=\"128006827\", alpha=\"0.02\", expect_size=\"38402048\"] \n  29 -> 34 [size =\"38402048\"]\n  30 [size=\"160914773\", alpha=\"0.01\", expect_size=\"48274432\"] \n  30 -> 32 [size =\"48274432\"]\n  30 -> 34 [size =\"48274432\"]\n  31 [size=\"118220800\", alpha=\"0.06\", expect_size=\"35466240\"] \n  31 -> 32 [size =\"35466240\"]\n  31 -> 33 [size =\"35466240\"]\n  32 [size=\"136345600\", alpha=\"0.09\", expect_size=\"40903680\"] \n  32 -> 35 [size =\"40903680\"]\n  32 -> 36 [size =\"40903680\"]\n  32 -> 38 [size =\"40903680\"]\n  33 [size=\"171700907\", alpha=\"0.10\", expect_size=\"51510272\"] \n  33 -> 37 [size =\"51510272\"]\n  34 [size=\"172680533\", alpha=\"0.08\", expect_size=\"51804160\"] \n  34 -> 37 [size =\"51804160\"]\n  34 -> 38 [size =\"51804160\"]\n  35 [size=\"100362240\", alpha=\"0.02\", expect_size=\"30108672\"] \n  35 -> 39 [size =\"30108672\"]\n  35 -> 40 [size =\"30108672\"]\n  35 -> 42 [size =\"30108672\"]\n  36 [size=\"31740587\", alpha=\"0.10\", expect_size=\"9522176\"] \n  36 -> 41 [size =\"9522176\"]\n  37 [size=\"34798933\", alpha=\"0.07\", expect_size=\"10439680\"] \n  37 -> 39 [size =\"10439680\"]\n  37 -> 41 [size =\"10439680\"]\n  38 [size=\"23647573\", alpha=\"0.15\", expect_size=\"7094272\"] \n  39 [size=\"33198080\", alpha=\"0.11\", expect_size=\"9959424\"] \n  39 -> 43 [size =\"9959424\"]\n  39 -> 44 [size =\"9959424\"]\n  40 [size=\"49640107\", alpha=\"0.03\", expect_size=\"14892032\"] \n  41 [size=\"54190080\", alpha=\"0.09\", expect_size=\"16257024\"] \n  42 [size=\"102891520\", alpha=\"0.17\", expect_size=\"30867456\"] \n  42 -> 43 [size =\"30867456\"]\n  42 -> 44 [size =\"30867456\"]\n  43 [size=\"20118187\", alpha=\"0.19\", expect_size=\"6035456\"] \n  44 [size=\"94863360\", alpha=\"0.13\", expect_size=\"28459008\"] \n  44 -> 45 [size =\"28459008\"]\n  45 [size=\"156668587\", alpha=\"0.06\", expect_size=\"47000576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126986240\", alpha=\"0.07\", expect_size=\"50794496\"] \n  1 -> 28 [size =\"50794496\"]\n  1 -> 39 [size =\"50794496\"]\n  1 -> 41 [size =\"50794496\"]\n  1 -> 44 [size =\"50794496\"]\n  2 [size=\"115514880\", alpha=\"0.05\", expect_size=\"46205952\"] \n  2 -> 28 [size =\"46205952\"]\n  2 -> 36 [size =\"46205952\"]\n  2 -> 40 [size =\"46205952\"]\n  2 -> 44 [size =\"46205952\"]\n  2 -> 45 [size =\"46205952\"]\n  3 [size=\"92369920\", alpha=\"0.13\", expect_size=\"36947968\"] \n  3 -> 28 [size =\"36947968\"]\n  3 -> 30 [size =\"36947968\"]\n  3 -> 36 [size =\"36947968\"]\n  3 -> 40 [size =\"36947968\"]\n  3 -> 41 [size =\"36947968\"]\n  3 -> 43 [size =\"36947968\"]\n  3 -> 44 [size =\"36947968\"]\n  3 -> 45 [size =\"36947968\"]\n  4 [size=\"23580160\", alpha=\"0.00\", expect_size=\"9432064\"] \n  4 -> 30 [size =\"9432064\"]\n  4 -> 32 [size =\"9432064\"]\n  4 -> 36 [size =\"9432064\"]\n  4 -> 37 [size =\"9432064\"]\n  4 -> 40 [size =\"9432064\"]\n  4 -> 43 [size =\"9432064\"]\n  4 -> 44 [size =\"9432064\"]\n  4 -> 45 [size =\"9432064\"]\n  5 [size=\"110707200\", alpha=\"0.14\", expect_size=\"44282880\"] \n  5 -> 28 [size =\"44282880\"]\n  5 -> 30 [size =\"44282880\"]\n  5 -> 37 [size =\"44282880\"]\n  5 -> 41 [size =\"44282880\"]\n  5 -> 42 [size =\"44282880\"]\n  5 -> 44 [size =\"44282880\"]\n  5 -> 45 [size =\"44282880\"]\n  5 -> 45 [size =\"44282880\"]\n  6 [size=\"18634240\", alpha=\"0.11\", expect_size=\"7453696\"] \n  6 -> 28 [size =\"7453696\"]\n  6 -> 30 [size =\"7453696\"]\n  6 -> 34 [size =\"7453696\"]\n  6 -> 36 [size =\"7453696\"]\n  6 -> 38 [size =\"7453696\"]\n  6 -> 40 [size =\"7453696\"]\n  6 -> 41 [size =\"7453696\"]\n  6 -> 42 [size =\"7453696\"]\n  6 -> 44 [size =\"7453696\"]\n  7 [size=\"109132800\", alpha=\"0.11\", expect_size=\"43653120\"] \n  7 -> 30 [size =\"43653120\"]\n  7 -> 36 [size =\"43653120\"]\n  7 -> 41 [size =\"43653120\"]\n  7 -> 43 [size =\"43653120\"]\n  7 -> 44 [size =\"43653120\"]\n  8 [size=\"24140800\", alpha=\"0.04\", expect_size=\"9656320\"] \n  8 -> 34 [size =\"9656320\"]\n  8 -> 44 [size =\"9656320\"]\n  8 -> 45 [size =\"9656320\"]\n  9 [size=\"104563200\", alpha=\"0.13\", expect_size=\"41825280\"] \n  9 -> 33 [size =\"41825280\"]\n  9 -> 34 [size =\"41825280\"]\n  9 -> 36 [size =\"41825280\"]\n  9 -> 40 [size =\"41825280\"]\n  9 -> 42 [size =\"41825280\"]\n  10 [size=\"61416960\", alpha=\"0.16\", expect_size=\"24566784\"] \n  10 -> 33 [size =\"24566784\"]\n  10 -> 36 [size =\"24566784\"]\n  10 -> 38 [size =\"24566784\"]\n  10 -> 39 [size =\"24566784\"]\n  10 -> 44 [size =\"24566784\"]\n  11 [size=\"37560320\", alpha=\"0.19\", expect_size=\"15024128\"] \n  11 -> 30 [size =\"15024128\"]\n  11 -> 33 [size =\"15024128\"]\n  11 -> 35 [size =\"15024128\"]\n  11 -> 40 [size =\"15024128\"]\n  11 -> 41 [size =\"15024128\"]\n  12 [size=\"79777280\", alpha=\"0.09\", expect_size=\"31910912\"] \n  12 -> 29 [size =\"31910912\"]\n  12 -> 30 [size =\"31910912\"]\n  12 -> 31 [size =\"31910912\"]\n  12 -> 33 [size =\"31910912\"]\n  12 -> 35 [size =\"31910912\"]\n  12 -> 36 [size =\"31910912\"]\n  12 -> 45 [size =\"31910912\"]\n  13 [size=\"110878720\", alpha=\"0.06\", expect_size=\"44351488\"] \n  13 -> 37 [size =\"44351488\"]\n  13 -> 39 [size =\"44351488\"]\n  13 -> 43 [size =\"44351488\"]\n  13 -> 45 [size =\"44351488\"]\n  14 [size=\"70522880\", alpha=\"0.01\", expect_size=\"28209152\"] \n  14 -> 35 [size =\"28209152\"]\n  14 -> 40 [size =\"28209152\"]\n  14 -> 43 [size =\"28209152\"]\n  14 -> 45 [size =\"28209152\"]\n  15 [size=\"72588800\", alpha=\"0.19\", expect_size=\"29035520\"] \n  15 -> 31 [size =\"29035520\"]\n  15 -> 33 [size =\"29035520\"]\n  15 -> 35 [size =\"29035520\"]\n  15 -> 36 [size =\"29035520\"]\n  15 -> 37 [size =\"29035520\"]\n  15 -> 40 [size =\"29035520\"]\n  15 -> 42 [size =\"29035520\"]\n  15 -> 43 [size =\"29035520\"]\n  15 -> 45 [size =\"29035520\"]\n  16 [size=\"39595520\", alpha=\"0.17\", expect_size=\"15838208\"] \n  16 -> 28 [size =\"15838208\"]\n  16 -> 31 [size =\"15838208\"]\n  16 -> 36 [size =\"15838208\"]\n  16 -> 37 [size =\"15838208\"]\n  16 -> 40 [size =\"15838208\"]\n  16 -> 41 [size =\"15838208\"]\n  16 -> 42 [size =\"15838208\"]\n  16 -> 43 [size =\"15838208\"]\n  17 [size=\"102594560\", alpha=\"0.08\", expect_size=\"41037824\"] \n  17 -> 28 [size =\"41037824\"]\n  17 -> 33 [size =\"41037824\"]\n  17 -> 35 [size =\"41037824\"]\n  17 -> 40 [size =\"41037824\"]\n  17 -> 40 [size =\"41037824\"]\n  17 -> 43 [size =\"41037824\"]\n  18 [size=\"50979840\", alpha=\"0.18\", expect_size=\"20391936\"] \n  18 -> 28 [size =\"20391936\"]\n  18 -> 33 [size =\"20391936\"]\n  18 -> 40 [size =\"20391936\"]\n  18 -> 41 [size =\"20391936\"]\n  18 -> 43 [size =\"20391936\"]\n  18 -> 44 [size =\"20391936\"]\n  18 -> 45 [size =\"20391936\"]\n  19 [size=\"73733120\", alpha=\"0.03\", expect_size=\"29493248\"] \n  19 -> 30 [size =\"29493248\"]\n  19 -> 40 [size =\"29493248\"]\n  19 -> 43 [size =\"29493248\"]\n  19 -> 44 [size =\"29493248\"]\n  20 [size=\"32732160\", alpha=\"0.15\", expect_size=\"13092864\"] \n  20 -> 28 [size =\"13092864\"]\n  20 -> 32 [size =\"13092864\"]\n  20 -> 35 [size =\"13092864\"]\n  20 -> 37 [size =\"13092864\"]\n  20 -> 43 [size =\"13092864\"]\n  20 -> 44 [size =\"13092864\"]\n  21 [size=\"127964160\", alpha=\"0.06\", expect_size=\"51185664\"] \n  21 -> 30 [size =\"51185664\"]\n  21 -> 32 [size =\"51185664\"]\n  21 -> 36 [size =\"51185664\"]\n  21 -> 37 [size =\"51185664\"]\n  21 -> 39 [size =\"51185664\"]\n  21 -> 41 [size =\"51185664\"]\n  21 -> 43 [size =\"51185664\"]\n  21 -> 44 [size =\"51185664\"]\n  21 -> 45 [size =\"51185664\"]\n  22 [size=\"123663360\", alpha=\"0.14\", expect_size=\"49465344\"] \n  22 -> 30 [size =\"49465344\"]\n  22 -> 33 [size =\"49465344\"]\n  22 -> 35 [size =\"49465344\"]\n  22 -> 36 [size =\"49465344\"]\n  22 -> 39 [size =\"49465344\"]\n  22 -> 40 [size =\"49465344\"]\n  22 -> 41 [size =\"49465344\"]\n  22 -> 43 [size =\"49465344\"]\n  22 -> 45 [size =\"49465344\"]\n  23 [size=\"58424320\", alpha=\"0.16\", expect_size=\"23369728\"] \n  23 -> 28 [size =\"23369728\"]\n  23 -> 30 [size =\"23369728\"]\n  23 -> 39 [size =\"23369728\"]\n  23 -> 40 [size =\"23369728\"]\n  23 -> 41 [size =\"23369728\"]\n  23 -> 43 [size =\"23369728\"]\n  24 [size=\"93649920\", alpha=\"0.20\", expect_size=\"37459968\"] \n  24 -> 28 [size =\"37459968\"]\n  24 -> 30 [size =\"37459968\"]\n  24 -> 31 [size =\"37459968\"]\n  24 -> 34 [size =\"37459968\"]\n  24 -> 35 [size =\"37459968\"]\n  24 -> 36 [size =\"37459968\"]\n  24 -> 39 [size =\"37459968\"]\n  24 -> 43 [size =\"37459968\"]\n  24 -> 44 [size =\"37459968\"]\n  25 [size=\"100751360\", alpha=\"0.20\", expect_size=\"40300544\"] \n  25 -> 28 [size =\"40300544\"]\n  25 -> 30 [size =\"40300544\"]\n  25 -> 32 [size =\"40300544\"]\n  25 -> 35 [size =\"40300544\"]\n  25 -> 36 [size =\"40300544\"]\n  25 -> 40 [size =\"40300544\"]\n  25 -> 43 [size =\"40300544\"]\n  25 -> 44 [size =\"40300544\"]\n  26 [size=\"94144000\", alpha=\"0.01\", expect_size=\"37657600\"] \n  26 -> 28 [size =\"37657600\"]\n  26 -> 33 [size =\"37657600\"]\n  26 -> 34 [size =\"37657600\"]\n  26 -> 36 [size =\"37657600\"]\n  26 -> 36 [size =\"37657600\"]\n  26 -> 40 [size =\"37657600\"]\n  26 -> 43 [size =\"37657600\"]\n  26 -> 45 [size =\"37657600\"]\n  27 [size=\"75793920\", alpha=\"0.18\", expect_size=\"30317568\"] \n  27 -> 28 [size =\"30317568\"]\n  27 -> 30 [size =\"30317568\"]\n  27 -> 36 [size =\"30317568\"]\n  27 -> 44 [size =\"30317568\"]\n  27 -> 45 [size =\"30317568\"]\n  28 [size=\"121971200\", alpha=\"0.17\", expect_size=\"48788480\"] \n  29 [size=\"111508480\", alpha=\"0.12\", expect_size=\"44603392\"] \n  30 [size=\"13637120\", alpha=\"0.15\", expect_size=\"5454848\"] \n  31 [size=\"102525440\", alpha=\"0.02\", expect_size=\"41010176\"] \n  32 [size=\"20195840\", alpha=\"0.00\", expect_size=\"8078336\"] \n  33 [size=\"104988160\", alpha=\"0.15\", expect_size=\"41995264\"] \n  34 [size=\"82270720\", alpha=\"0.20\", expect_size=\"32908288\"] \n  35 [size=\"80486400\", alpha=\"0.15\", expect_size=\"32194560\"] \n  36 [size=\"79265280\", alpha=\"0.14\", expect_size=\"31706112\"] \n  37 [size=\"84139520\", alpha=\"0.08\", expect_size=\"33655808\"] \n  38 [size=\"73169920\", alpha=\"0.09\", expect_size=\"29267968\"] \n  39 [size=\"57392640\", alpha=\"0.00\", expect_size=\"22957056\"] \n  40 [size=\"128263680\", alpha=\"0.14\", expect_size=\"51305472\"] \n  41 [size=\"98160640\", alpha=\"0.08\", expect_size=\"39264256\"] \n  42 [size=\"109509120\", alpha=\"0.01\", expect_size=\"43803648\"] \n  43 [size=\"111011840\", alpha=\"0.01\", expect_size=\"44404736\"] \n  44 [size=\"82478080\", alpha=\"0.15\", expect_size=\"32991232\"] \n  45 [size=\"81328640\", alpha=\"0.04\", expect_size=\"32531456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131461120\", alpha=\"0.03\", expect_size=\"39438336\"] \n  1 -> 2 [size =\"39438336\"]\n  2 [size=\"143670613\", alpha=\"0.00\", expect_size=\"43101184\"] \n  2 -> 3 [size =\"43101184\"]\n  3 [size=\"137574400\", alpha=\"0.20\", expect_size=\"41272320\"] \n  3 -> 4 [size =\"41272320\"]\n  4 [size=\"33549653\", alpha=\"0.03\", expect_size=\"10064896\"] \n  4 -> 5 [size =\"10064896\"]\n  5 [size=\"64713387\", alpha=\"0.10\", expect_size=\"19414016\"] \n  5 -> 6 [size =\"19414016\"]\n  6 [size=\"149841920\", alpha=\"0.04\", expect_size=\"44952576\"] \n  6 -> 7 [size =\"44952576\"]\n  7 [size=\"18677760\", alpha=\"0.15\", expect_size=\"5603328\"] \n  7 -> 8 [size =\"5603328\"]\n  8 [size=\"159191040\", alpha=\"0.10\", expect_size=\"47757312\"] \n  8 -> 9 [size =\"47757312\"]\n  9 [size=\"41055573\", alpha=\"0.15\", expect_size=\"12316672\"] \n  9 -> 10 [size =\"12316672\"]\n  10 [size=\"29771093\", alpha=\"0.11\", expect_size=\"8931328\"] \n  10 -> 11 [size =\"8931328\"]\n  11 [size=\"38058667\", alpha=\"0.14\", expect_size=\"11417600\"] \n  11 -> 12 [size =\"11417600\"]\n  12 [size=\"60190720\", alpha=\"0.13\", expect_size=\"18057216\"] \n  12 -> 13 [size =\"18057216\"]\n  13 [size=\"60873387\", alpha=\"0.15\", expect_size=\"18262016\"] \n  13 -> 14 [size =\"18262016\"]\n  14 [size=\"57743360\", alpha=\"0.17\", expect_size=\"17323008\"] \n  14 -> 15 [size =\"17323008\"]\n  15 [size=\"79984640\", alpha=\"0.02\", expect_size=\"23995392\"] \n  15 -> 16 [size =\"23995392\"]\n  16 [size=\"157265920\", alpha=\"0.14\", expect_size=\"47179776\"] \n  16 -> 17 [size =\"47179776\"]\n  17 [size=\"33955840\", alpha=\"0.03\", expect_size=\"10186752\"] \n  17 -> 18 [size =\"10186752\"]\n  18 [size=\"150483627\", alpha=\"0.07\", expect_size=\"45145088\"] \n  18 -> 19 [size =\"45145088\"]\n  19 [size=\"68000427\", alpha=\"0.01\", expect_size=\"20400128\"] \n  19 -> 20 [size =\"20400128\"]\n  20 [size=\"26562560\", alpha=\"0.03\", expect_size=\"7968768\"] \n  20 -> 21 [size =\"7968768\"]\n  21 [size=\"115872427\", alpha=\"0.20\", expect_size=\"34761728\"] \n  21 -> 22 [size =\"34761728\"]\n  22 [size=\"70144000\", alpha=\"0.13\", expect_size=\"21043200\"] \n  22 -> 23 [size =\"21043200\"]\n  23 [size=\"171735040\", alpha=\"0.01\", expect_size=\"51520512\"] \n  23 -> 24 [size =\"51520512\"]\n  24 [size=\"132034560\", alpha=\"0.11\", expect_size=\"39610368\"] \n  24 -> 25 [size =\"39610368\"]\n  25 [size=\"106755413\", alpha=\"0.07\", expect_size=\"32026624\"] \n  25 -> 26 [size =\"32026624\"]\n  26 [size=\"121449813\", alpha=\"0.19\", expect_size=\"36434944\"] \n  26 -> 27 [size =\"36434944\"]\n  27 [size=\"70601387\", alpha=\"0.12\", expect_size=\"21180416\"] \n  27 -> 28 [size =\"21180416\"]\n  28 [size=\"95996587\", alpha=\"0.03\", expect_size=\"28798976\"] \n  28 -> 29 [size =\"28798976\"]\n  29 [size=\"152477013\", alpha=\"0.17\", expect_size=\"45743104\"] \n  29 -> 30 [size =\"45743104\"]\n  30 [size=\"161020587\", alpha=\"0.13\", expect_size=\"48306176\"] \n  30 -> 31 [size =\"48306176\"]\n  31 [size=\"29156693\", alpha=\"0.11\", expect_size=\"8747008\"] \n  31 -> 32 [size =\"8747008\"]\n  32 [size=\"28156587\", alpha=\"0.15\", expect_size=\"8446976\"] \n  32 -> 33 [size =\"8446976\"]\n  33 [size=\"126931627\", alpha=\"0.04\", expect_size=\"38079488\"] \n  33 -> 34 [size =\"38079488\"]\n  34 [size=\"131007147\", alpha=\"0.18\", expect_size=\"39302144\"] \n  34 -> 35 [size =\"39302144\"]\n  35 [size=\"56459947\", alpha=\"0.00\", expect_size=\"16937984\"] \n  35 -> 36 [size =\"16937984\"]\n  36 [size=\"107813547\", alpha=\"0.00\", expect_size=\"32344064\"] \n  36 -> 37 [size =\"32344064\"]\n  37 [size=\"102864213\", alpha=\"0.02\", expect_size=\"30859264\"] \n  37 -> 38 [size =\"30859264\"]\n  38 [size=\"42813440\", alpha=\"0.01\", expect_size=\"12844032\"] \n  38 -> 39 [size =\"12844032\"]\n  39 [size=\"69382827\", alpha=\"0.07\", expect_size=\"20814848\"] \n  39 -> 40 [size =\"20814848\"]\n  40 [size=\"48861867\", alpha=\"0.13\", expect_size=\"14658560\"] \n  40 -> 41 [size =\"14658560\"]\n  41 [size=\"150835200\", alpha=\"0.13\", expect_size=\"45250560\"] \n  41 -> 42 [size =\"45250560\"]\n  42 [size=\"81322667\", alpha=\"0.18\", expect_size=\"24396800\"] \n  42 -> 43 [size =\"24396800\"]\n  43 [size=\"40318293\", alpha=\"0.04\", expect_size=\"12095488\"] \n  43 -> 44 [size =\"12095488\"]\n  44 [size=\"71222613\", alpha=\"0.04\", expect_size=\"21366784\"] \n  44 -> 45 [size =\"21366784\"]\n  45 [size=\"57019733\", alpha=\"0.15\", expect_size=\"17105920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24312320\", alpha=\"0.09\", expect_size=\"9724928\"] \n  1 -> 16 [size =\"9724928\"]\n  1 -> 19 [size =\"9724928\"]\n  1 -> 20 [size =\"9724928\"]\n  1 -> 23 [size =\"9724928\"]\n  1 -> 24 [size =\"9724928\"]\n  1 -> 25 [size =\"9724928\"]\n  1 -> 28 [size =\"9724928\"]\n  2 [size=\"124572160\", alpha=\"0.04\", expect_size=\"49828864\"] \n  2 -> 19 [size =\"49828864\"]\n  2 -> 21 [size =\"49828864\"]\n  2 -> 22 [size =\"49828864\"]\n  2 -> 25 [size =\"49828864\"]\n  2 -> 27 [size =\"49828864\"]\n  3 [size=\"95334400\", alpha=\"0.17\", expect_size=\"38133760\"] \n  3 -> 19 [size =\"38133760\"]\n  3 -> 20 [size =\"38133760\"]\n  3 -> 21 [size =\"38133760\"]\n  3 -> 24 [size =\"38133760\"]\n  3 -> 25 [size =\"38133760\"]\n  3 -> 27 [size =\"38133760\"]\n  4 [size=\"98754560\", alpha=\"0.14\", expect_size=\"39501824\"] \n  4 -> 17 [size =\"39501824\"]\n  4 -> 21 [size =\"39501824\"]\n  5 [size=\"124979200\", alpha=\"0.04\", expect_size=\"49991680\"] \n  5 -> 19 [size =\"49991680\"]\n  5 -> 20 [size =\"49991680\"]\n  5 -> 21 [size =\"49991680\"]\n  5 -> 26 [size =\"49991680\"]\n  6 [size=\"93711360\", alpha=\"0.15\", expect_size=\"37484544\"] \n  6 -> 17 [size =\"37484544\"]\n  6 -> 19 [size =\"37484544\"]\n  6 -> 21 [size =\"37484544\"]\n  6 -> 24 [size =\"37484544\"]\n  6 -> 25 [size =\"37484544\"]\n  6 -> 26 [size =\"37484544\"]\n  6 -> 27 [size =\"37484544\"]\n  7 [size=\"57448960\", alpha=\"0.09\", expect_size=\"22979584\"] \n  7 -> 16 [size =\"22979584\"]\n  7 -> 17 [size =\"22979584\"]\n  7 -> 21 [size =\"22979584\"]\n  7 -> 25 [size =\"22979584\"]\n  7 -> 27 [size =\"22979584\"]\n  7 -> 28 [size =\"22979584\"]\n  8 [size=\"85376000\", alpha=\"0.01\", expect_size=\"34150400\"] \n  8 -> 16 [size =\"34150400\"]\n  8 -> 21 [size =\"34150400\"]\n  8 -> 24 [size =\"34150400\"]\n  8 -> 25 [size =\"34150400\"]\n  8 -> 26 [size =\"34150400\"]\n  8 -> 27 [size =\"34150400\"]\n  9 [size=\"16107520\", alpha=\"0.01\", expect_size=\"6443008\"] \n  9 -> 21 [size =\"6443008\"]\n  9 -> 24 [size =\"6443008\"]\n  9 -> 26 [size =\"6443008\"]\n  9 -> 27 [size =\"6443008\"]\n  10 [size=\"85555200\", alpha=\"0.05\", expect_size=\"34222080\"] \n  10 -> 16 [size =\"34222080\"]\n  10 -> 17 [size =\"34222080\"]\n  10 -> 21 [size =\"34222080\"]\n  10 -> 24 [size =\"34222080\"]\n  10 -> 25 [size =\"34222080\"]\n  10 -> 26 [size =\"34222080\"]\n  11 [size=\"19156480\", alpha=\"0.20\", expect_size=\"7662592\"] \n  11 -> 18 [size =\"7662592\"]\n  11 -> 19 [size =\"7662592\"]\n  11 -> 26 [size =\"7662592\"]\n  11 -> 27 [size =\"7662592\"]\n  11 -> 28 [size =\"7662592\"]\n  12 [size=\"69649920\", alpha=\"0.18\", expect_size=\"27859968\"] \n  12 -> 16 [size =\"27859968\"]\n  12 -> 21 [size =\"27859968\"]\n  12 -> 22 [size =\"27859968\"]\n  12 -> 26 [size =\"27859968\"]\n  12 -> 27 [size =\"27859968\"]\n  13 [size=\"92188160\", alpha=\"0.12\", expect_size=\"36875264\"] \n  13 -> 17 [size =\"36875264\"]\n  13 -> 19 [size =\"36875264\"]\n  13 -> 24 [size =\"36875264\"]\n  13 -> 27 [size =\"36875264\"]\n  13 -> 27 [size =\"36875264\"]\n  14 [size=\"76592640\", alpha=\"0.08\", expect_size=\"30637056\"] \n  14 -> 19 [size =\"30637056\"]\n  14 -> 21 [size =\"30637056\"]\n  14 -> 24 [size =\"30637056\"]\n  14 -> 25 [size =\"30637056\"]\n  14 -> 27 [size =\"30637056\"]\n  15 [size=\"43988480\", alpha=\"0.00\", expect_size=\"17595392\"] \n  15 -> 16 [size =\"17595392\"]\n  15 -> 17 [size =\"17595392\"]\n  15 -> 18 [size =\"17595392\"]\n  15 -> 20 [size =\"17595392\"]\n  15 -> 25 [size =\"17595392\"]\n  16 [size=\"64652800\", alpha=\"0.03\", expect_size=\"25861120\"] \n  16 -> 31 [size =\"25861120\"]\n  16 -> 33 [size =\"25861120\"]\n  16 -> 34 [size =\"25861120\"]\n  16 -> 37 [size =\"25861120\"]\n  17 [size=\"37102080\", alpha=\"0.04\", expect_size=\"14840832\"] \n  17 -> 32 [size =\"14840832\"]\n  17 -> 34 [size =\"14840832\"]\n  17 -> 36 [size =\"14840832\"]\n  17 -> 37 [size =\"14840832\"]\n  18 [size=\"89187840\", alpha=\"0.17\", expect_size=\"35675136\"] \n  18 -> 30 [size =\"35675136\"]\n  18 -> 31 [size =\"35675136\"]\n  18 -> 34 [size =\"35675136\"]\n  19 [size=\"94520320\", alpha=\"0.00\", expect_size=\"37808128\"] \n  19 -> 31 [size =\"37808128\"]\n  19 -> 37 [size =\"37808128\"]\n  20 [size=\"100720640\", alpha=\"0.12\", expect_size=\"40288256\"] \n  20 -> 31 [size =\"40288256\"]\n  20 -> 32 [size =\"40288256\"]\n  20 -> 34 [size =\"40288256\"]\n  20 -> 37 [size =\"40288256\"]\n  21 [size=\"127818240\", alpha=\"0.07\", expect_size=\"51127296\"] \n  21 -> 31 [size =\"51127296\"]\n  21 -> 32 [size =\"51127296\"]\n  21 -> 33 [size =\"51127296\"]\n  21 -> 34 [size =\"51127296\"]\n  21 -> 35 [size =\"51127296\"]\n  21 -> 37 [size =\"51127296\"]\n  22 [size=\"125765120\", alpha=\"0.00\", expect_size=\"50306048\"] \n  22 -> 29 [size =\"50306048\"]\n  22 -> 31 [size =\"50306048\"]\n  22 -> 32 [size =\"50306048\"]\n  22 -> 34 [size =\"50306048\"]\n  22 -> 35 [size =\"50306048\"]\n  23 [size=\"111403520\", alpha=\"0.07\", expect_size=\"44561408\"] \n  23 -> 30 [size =\"44561408\"]\n  23 -> 33 [size =\"44561408\"]\n  23 -> 34 [size =\"44561408\"]\n  23 -> 35 [size =\"44561408\"]\n  23 -> 36 [size =\"44561408\"]\n  23 -> 37 [size =\"44561408\"]\n  24 [size=\"66199040\", alpha=\"0.09\", expect_size=\"26479616\"] \n  24 -> 32 [size =\"26479616\"]\n  24 -> 35 [size =\"26479616\"]\n  25 [size=\"114944000\", alpha=\"0.10\", expect_size=\"45977600\"] \n  25 -> 32 [size =\"45977600\"]\n  25 -> 36 [size =\"45977600\"]\n  25 -> 37 [size =\"45977600\"]\n  26 [size=\"117335040\", alpha=\"0.04\", expect_size=\"46934016\"] \n  26 -> 31 [size =\"46934016\"]\n  26 -> 32 [size =\"46934016\"]\n  26 -> 33 [size =\"46934016\"]\n  27 [size=\"14407680\", alpha=\"0.06\", expect_size=\"5763072\"] \n  27 -> 31 [size =\"5763072\"]\n  27 -> 34 [size =\"5763072\"]\n  27 -> 35 [size =\"5763072\"]\n  27 -> 37 [size =\"5763072\"]\n  28 [size=\"39170560\", alpha=\"0.20\", expect_size=\"15668224\"] \n  28 -> 29 [size =\"15668224\"]\n  28 -> 31 [size =\"15668224\"]\n  28 -> 32 [size =\"15668224\"]\n  28 -> 33 [size =\"15668224\"]\n  28 -> 34 [size =\"15668224\"]\n  28 -> 37 [size =\"15668224\"]\n  29 [size=\"19046400\", alpha=\"0.14\", expect_size=\"7618560\"] \n  29 -> 41 [size =\"7618560\"]\n  29 -> 42 [size =\"7618560\"]\n  29 -> 44 [size =\"7618560\"]\n  29 -> 45 [size =\"7618560\"]\n  30 [size=\"19077120\", alpha=\"0.01\", expect_size=\"7630848\"] \n  30 -> 38 [size =\"7630848\"]\n  30 -> 39 [size =\"7630848\"]\n  30 -> 42 [size =\"7630848\"]\n  30 -> 43 [size =\"7630848\"]\n  30 -> 44 [size =\"7630848\"]\n  30 -> 45 [size =\"7630848\"]\n  31 [size=\"92467200\", alpha=\"0.09\", expect_size=\"36986880\"] \n  31 -> 38 [size =\"36986880\"]\n  31 -> 39 [size =\"36986880\"]\n  31 -> 43 [size =\"36986880\"]\n  31 -> 45 [size =\"36986880\"]\n  32 [size=\"14494720\", alpha=\"0.07\", expect_size=\"5797888\"] \n  32 -> 39 [size =\"5797888\"]\n  33 [size=\"14586880\", alpha=\"0.18\", expect_size=\"5834752\"] \n  33 -> 38 [size =\"5834752\"]\n  33 -> 39 [size =\"5834752\"]\n  33 -> 42 [size =\"5834752\"]\n  33 -> 44 [size =\"5834752\"]\n  33 -> 45 [size =\"5834752\"]\n  34 [size=\"57006080\", alpha=\"0.19\", expect_size=\"22802432\"] \n  34 -> 38 [size =\"22802432\"]\n  35 [size=\"109437440\", alpha=\"0.06\", expect_size=\"43774976\"] \n  35 -> 38 [size =\"43774976\"]\n  35 -> 42 [size =\"43774976\"]\n  36 [size=\"47825920\", alpha=\"0.02\", expect_size=\"19130368\"] \n  36 -> 38 [size =\"19130368\"]\n  36 -> 39 [size =\"19130368\"]\n  36 -> 40 [size =\"19130368\"]\n  36 -> 42 [size =\"19130368\"]\n  36 -> 44 [size =\"19130368\"]\n  37 [size=\"70737920\", alpha=\"0.02\", expect_size=\"28295168\"] \n  37 -> 42 [size =\"28295168\"]\n  37 -> 44 [size =\"28295168\"]\n  37 -> 45 [size =\"28295168\"]\n  38 [size=\"104558080\", alpha=\"0.14\", expect_size=\"41823232\"] \n  39 [size=\"103587840\", alpha=\"0.01\", expect_size=\"41435136\"] \n  40 [size=\"70827520\", alpha=\"0.02\", expect_size=\"28331008\"] \n  41 [size=\"78730240\", alpha=\"0.03\", expect_size=\"31492096\"] \n  42 [size=\"15377920\", alpha=\"0.03\", expect_size=\"6151168\"] \n  43 [size=\"55280640\", alpha=\"0.19\", expect_size=\"22112256\"] \n  44 [size=\"41592320\", alpha=\"0.05\", expect_size=\"16636928\"] \n  45 [size=\"37798400\", alpha=\"0.07\", expect_size=\"15119360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126419627\", alpha=\"0.00\", expect_size=\"37925888\"] \n  1 -> 2 [size =\"37925888\"]\n  2 [size=\"150217387\", alpha=\"0.01\", expect_size=\"45065216\"] \n  2 -> 3 [size =\"45065216\"]\n  3 [size=\"35485013\", alpha=\"0.17\", expect_size=\"10645504\"] \n  3 -> 4 [size =\"10645504\"]\n  4 [size=\"168666453\", alpha=\"0.19\", expect_size=\"50599936\"] \n  4 -> 5 [size =\"50599936\"]\n  5 [size=\"100283733\", alpha=\"0.04\", expect_size=\"30085120\"] \n  5 -> 6 [size =\"30085120\"]\n  6 [size=\"73485653\", alpha=\"0.15\", expect_size=\"22045696\"] \n  6 -> 7 [size =\"22045696\"]\n  7 [size=\"91187200\", alpha=\"0.17\", expect_size=\"27356160\"] \n  7 -> 8 [size =\"27356160\"]\n  8 [size=\"25514667\", alpha=\"0.03\", expect_size=\"7654400\"] \n  8 -> 9 [size =\"7654400\"]\n  9 [size=\"123907413\", alpha=\"0.16\", expect_size=\"37172224\"] \n  9 -> 10 [size =\"37172224\"]\n  10 [size=\"100515840\", alpha=\"0.03\", expect_size=\"30154752\"] \n  10 -> 11 [size =\"30154752\"]\n  11 [size=\"130785280\", alpha=\"0.13\", expect_size=\"39235584\"] \n  11 -> 12 [size =\"39235584\"]\n  12 [size=\"133594453\", alpha=\"0.15\", expect_size=\"40078336\"] \n  12 -> 13 [size =\"40078336\"]\n  13 [size=\"140103680\", alpha=\"0.04\", expect_size=\"42031104\"] \n  13 -> 14 [size =\"42031104\"]\n  14 [size=\"115360427\", alpha=\"0.02\", expect_size=\"34608128\"] \n  14 -> 15 [size =\"34608128\"]\n  15 [size=\"105547093\", alpha=\"0.09\", expect_size=\"31664128\"] \n  15 -> 16 [size =\"31664128\"]\n  16 [size=\"133290667\", alpha=\"0.03\", expect_size=\"39987200\"] \n  16 -> 17 [size =\"39987200\"]\n  17 [size=\"90228053\", alpha=\"0.19\", expect_size=\"27068416\"] \n  17 -> 18 [size =\"27068416\"]\n  18 [size=\"68198400\", alpha=\"0.01\", expect_size=\"20459520\"] \n  18 -> 19 [size =\"20459520\"]\n  19 [size=\"92061013\", alpha=\"0.19\", expect_size=\"27618304\"] \n  19 -> 20 [size =\"27618304\"]\n  20 [size=\"62713173\", alpha=\"0.06\", expect_size=\"18813952\"] \n  20 -> 21 [size =\"18813952\"]\n  21 [size=\"87412053\", alpha=\"0.06\", expect_size=\"26223616\"] \n  21 -> 22 [size =\"26223616\"]\n  22 [size=\"33498453\", alpha=\"0.04\", expect_size=\"10049536\"] \n  22 -> 23 [size =\"10049536\"]\n  23 [size=\"149207040\", alpha=\"0.03\", expect_size=\"44762112\"] \n  23 -> 24 [size =\"44762112\"]\n  24 [size=\"24780800\", alpha=\"0.02\", expect_size=\"7434240\"] \n  24 -> 25 [size =\"7434240\"]\n  25 [size=\"41594880\", alpha=\"0.11\", expect_size=\"12478464\"] \n  25 -> 26 [size =\"12478464\"]\n  26 [size=\"115479893\", alpha=\"0.08\", expect_size=\"34643968\"] \n  26 -> 27 [size =\"34643968\"]\n  27 [size=\"139304960\", alpha=\"0.13\", expect_size=\"41791488\"] \n  27 -> 28 [size =\"41791488\"]\n  28 [size=\"130054827\", alpha=\"0.00\", expect_size=\"39016448\"] \n  28 -> 29 [size =\"39016448\"]\n  29 [size=\"136536747\", alpha=\"0.01\", expect_size=\"40961024\"] \n  29 -> 30 [size =\"40961024\"]\n  30 [size=\"131437227\", alpha=\"0.11\", expect_size=\"39431168\"] \n  30 -> 31 [size =\"39431168\"]\n  31 [size=\"20360533\", alpha=\"0.17\", expect_size=\"6108160\"] \n  31 -> 32 [size =\"6108160\"]\n  32 [size=\"69533013\", alpha=\"0.17\", expect_size=\"20859904\"] \n  32 -> 33 [size =\"20859904\"]\n  33 [size=\"97129813\", alpha=\"0.13\", expect_size=\"29138944\"] \n  33 -> 34 [size =\"29138944\"]\n  34 [size=\"121152853\", alpha=\"0.01\", expect_size=\"36345856\"] \n  34 -> 35 [size =\"36345856\"]\n  35 [size=\"135516160\", alpha=\"0.20\", expect_size=\"40654848\"] \n  35 -> 36 [size =\"40654848\"]\n  36 [size=\"65737387\", alpha=\"0.14\", expect_size=\"19721216\"] \n  36 -> 37 [size =\"19721216\"]\n  37 [size=\"125115733\", alpha=\"0.17\", expect_size=\"37534720\"] \n  37 -> 38 [size =\"37534720\"]\n  38 [size=\"72792747\", alpha=\"0.07\", expect_size=\"21837824\"] \n  38 -> 39 [size =\"21837824\"]\n  39 [size=\"74096640\", alpha=\"0.06\", expect_size=\"22228992\"] \n  39 -> 40 [size =\"22228992\"]\n  40 [size=\"78175573\", alpha=\"0.11\", expect_size=\"23452672\"] \n  40 -> 41 [size =\"23452672\"]\n  41 [size=\"168069120\", alpha=\"0.05\", expect_size=\"50420736\"] \n  41 -> 42 [size =\"50420736\"]\n  42 [size=\"142513493\", alpha=\"0.01\", expect_size=\"42754048\"] \n  42 -> 43 [size =\"42754048\"]\n  43 [size=\"117630293\", alpha=\"0.14\", expect_size=\"35289088\"] \n  43 -> 44 [size =\"35289088\"]\n  44 [size=\"58760533\", alpha=\"0.07\", expect_size=\"17628160\"] \n  44 -> 45 [size =\"17628160\"]\n  45 [size=\"63791787\", alpha=\"0.04\", expect_size=\"19137536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53268480\", alpha=\"0.18\", expect_size=\"21307392\"] \n  1 -> 15 [size =\"21307392\"]\n  1 -> 16 [size =\"21307392\"]\n  1 -> 18 [size =\"21307392\"]\n  1 -> 22 [size =\"21307392\"]\n  2 [size=\"88145920\", alpha=\"0.01\", expect_size=\"35258368\"] \n  2 -> 11 [size =\"35258368\"]\n  2 -> 12 [size =\"35258368\"]\n  2 -> 15 [size =\"35258368\"]\n  2 -> 20 [size =\"35258368\"]\n  3 [size=\"101363200\", alpha=\"0.10\", expect_size=\"40545280\"] \n  3 -> 11 [size =\"40545280\"]\n  3 -> 12 [size =\"40545280\"]\n  3 -> 16 [size =\"40545280\"]\n  3 -> 18 [size =\"40545280\"]\n  3 -> 20 [size =\"40545280\"]\n  4 [size=\"66058240\", alpha=\"0.02\", expect_size=\"26423296\"] \n  4 -> 11 [size =\"26423296\"]\n  4 -> 12 [size =\"26423296\"]\n  4 -> 13 [size =\"26423296\"]\n  4 -> 14 [size =\"26423296\"]\n  4 -> 15 [size =\"26423296\"]\n  4 -> 16 [size =\"26423296\"]\n  4 -> 19 [size =\"26423296\"]\n  4 -> 23 [size =\"26423296\"]\n  5 [size=\"94917120\", alpha=\"0.09\", expect_size=\"37966848\"] \n  5 -> 12 [size =\"37966848\"]\n  5 -> 13 [size =\"37966848\"]\n  5 -> 15 [size =\"37966848\"]\n  5 -> 16 [size =\"37966848\"]\n  5 -> 17 [size =\"37966848\"]\n  5 -> 24 [size =\"37966848\"]\n  6 [size=\"54737920\", alpha=\"0.10\", expect_size=\"21895168\"] \n  6 -> 18 [size =\"21895168\"]\n  6 -> 21 [size =\"21895168\"]\n  7 [size=\"38297600\", alpha=\"0.08\", expect_size=\"15319040\"] \n  7 -> 16 [size =\"15319040\"]\n  7 -> 18 [size =\"15319040\"]\n  7 -> 20 [size =\"15319040\"]\n  7 -> 21 [size =\"15319040\"]\n  8 [size=\"79296000\", alpha=\"0.17\", expect_size=\"31718400\"] \n  8 -> 15 [size =\"31718400\"]\n  8 -> 21 [size =\"31718400\"]\n  8 -> 23 [size =\"31718400\"]\n  9 [size=\"123107840\", alpha=\"0.01\", expect_size=\"49243136\"] \n  9 -> 21 [size =\"49243136\"]\n  9 -> 21 [size =\"49243136\"]\n  10 [size=\"126507520\", alpha=\"0.09\", expect_size=\"50603008\"] \n  10 -> 14 [size =\"50603008\"]\n  10 -> 17 [size =\"50603008\"]\n  11 [size=\"94100480\", alpha=\"0.02\", expect_size=\"37640192\"] \n  11 -> 25 [size =\"37640192\"]\n  11 -> 30 [size =\"37640192\"]\n  11 -> 31 [size =\"37640192\"]\n  11 -> 32 [size =\"37640192\"]\n  11 -> 34 [size =\"37640192\"]\n  11 -> 35 [size =\"37640192\"]\n  12 [size=\"80094720\", alpha=\"0.14\", expect_size=\"32037888\"] \n  12 -> 26 [size =\"32037888\"]\n  12 -> 29 [size =\"32037888\"]\n  12 -> 30 [size =\"32037888\"]\n  12 -> 32 [size =\"32037888\"]\n  12 -> 33 [size =\"32037888\"]\n  12 -> 35 [size =\"32037888\"]\n  12 -> 36 [size =\"32037888\"]\n  13 [size=\"84876800\", alpha=\"0.12\", expect_size=\"33950720\"] \n  13 -> 26 [size =\"33950720\"]\n  13 -> 30 [size =\"33950720\"]\n  13 -> 31 [size =\"33950720\"]\n  13 -> 32 [size =\"33950720\"]\n  13 -> 33 [size =\"33950720\"]\n  13 -> 34 [size =\"33950720\"]\n  13 -> 35 [size =\"33950720\"]\n  14 [size=\"24220160\", alpha=\"0.18\", expect_size=\"9688064\"] \n  14 -> 31 [size =\"9688064\"]\n  14 -> 35 [size =\"9688064\"]\n  14 -> 36 [size =\"9688064\"]\n  15 [size=\"33338880\", alpha=\"0.12\", expect_size=\"13335552\"] \n  15 -> 34 [size =\"13335552\"]\n  15 -> 36 [size =\"13335552\"]\n  16 [size=\"88335360\", alpha=\"0.10\", expect_size=\"35334144\"] \n  16 -> 26 [size =\"35334144\"]\n  16 -> 28 [size =\"35334144\"]\n  16 -> 31 [size =\"35334144\"]\n  17 [size=\"29952000\", alpha=\"0.02\", expect_size=\"11980800\"] \n  17 -> 26 [size =\"11980800\"]\n  17 -> 28 [size =\"11980800\"]\n  17 -> 30 [size =\"11980800\"]\n  17 -> 31 [size =\"11980800\"]\n  17 -> 34 [size =\"11980800\"]\n  18 [size=\"75468800\", alpha=\"0.02\", expect_size=\"30187520\"] \n  18 -> 27 [size =\"30187520\"]\n  18 -> 28 [size =\"30187520\"]\n  18 -> 30 [size =\"30187520\"]\n  18 -> 33 [size =\"30187520\"]\n  18 -> 37 [size =\"30187520\"]\n  19 [size=\"58736640\", alpha=\"0.01\", expect_size=\"23494656\"] \n  19 -> 30 [size =\"23494656\"]\n  19 -> 33 [size =\"23494656\"]\n  19 -> 36 [size =\"23494656\"]\n  20 [size=\"65054720\", alpha=\"0.12\", expect_size=\"26021888\"] \n  20 -> 27 [size =\"26021888\"]\n  20 -> 30 [size =\"26021888\"]\n  20 -> 33 [size =\"26021888\"]\n  21 [size=\"117949440\", alpha=\"0.11\", expect_size=\"47179776\"] \n  21 -> 26 [size =\"47179776\"]\n  21 -> 33 [size =\"47179776\"]\n  21 -> 34 [size =\"47179776\"]\n  21 -> 35 [size =\"47179776\"]\n  21 -> 36 [size =\"47179776\"]\n  21 -> 37 [size =\"47179776\"]\n  22 [size=\"128934400\", alpha=\"0.02\", expect_size=\"51573760\"] \n  22 -> 25 [size =\"51573760\"]\n  22 -> 31 [size =\"51573760\"]\n  22 -> 34 [size =\"51573760\"]\n  22 -> 35 [size =\"51573760\"]\n  22 -> 36 [size =\"51573760\"]\n  22 -> 37 [size =\"51573760\"]\n  23 [size=\"96035840\", alpha=\"0.08\", expect_size=\"38414336\"] \n  23 -> 25 [size =\"38414336\"]\n  23 -> 29 [size =\"38414336\"]\n  23 -> 31 [size =\"38414336\"]\n  23 -> 32 [size =\"38414336\"]\n  23 -> 34 [size =\"38414336\"]\n  23 -> 35 [size =\"38414336\"]\n  24 [size=\"51179520\", alpha=\"0.03\", expect_size=\"20471808\"] \n  24 -> 32 [size =\"20471808\"]\n  24 -> 33 [size =\"20471808\"]\n  24 -> 34 [size =\"20471808\"]\n  24 -> 35 [size =\"20471808\"]\n  25 [size=\"39116800\", alpha=\"0.12\", expect_size=\"15646720\"] \n  26 [size=\"107560960\", alpha=\"0.08\", expect_size=\"43024384\"] \n  26 -> 45 [size =\"43024384\"]\n  27 [size=\"48460800\", alpha=\"0.08\", expect_size=\"19384320\"] \n  27 -> 45 [size =\"19384320\"]\n  28 [size=\"59386880\", alpha=\"0.19\", expect_size=\"23754752\"] \n  28 -> 43 [size =\"23754752\"]\n  29 [size=\"69222400\", alpha=\"0.09\", expect_size=\"27688960\"] \n  29 -> 39 [size =\"27688960\"]\n  29 -> 40 [size =\"27688960\"]\n  29 -> 43 [size =\"27688960\"]\n  30 [size=\"74928640\", alpha=\"0.19\", expect_size=\"29971456\"] \n  30 -> 43 [size =\"29971456\"]\n  30 -> 44 [size =\"29971456\"]\n  31 [size=\"30632960\", alpha=\"0.02\", expect_size=\"12253184\"] \n  31 -> 43 [size =\"12253184\"]\n  31 -> 44 [size =\"12253184\"]\n  32 [size=\"94456320\", alpha=\"0.16\", expect_size=\"37782528\"] \n  32 -> 43 [size =\"37782528\"]\n  32 -> 44 [size =\"37782528\"]\n  33 [size=\"105515520\", alpha=\"0.03\", expect_size=\"42206208\"] \n  34 [size=\"34099200\", alpha=\"0.11\", expect_size=\"13639680\"] \n  34 -> 41 [size =\"13639680\"]\n  34 -> 43 [size =\"13639680\"]\n  34 -> 44 [size =\"13639680\"]\n  34 -> 45 [size =\"13639680\"]\n  35 [size=\"51125760\", alpha=\"0.03\", expect_size=\"20450304\"] \n  35 -> 38 [size =\"20450304\"]\n  35 -> 41 [size =\"20450304\"]\n  36 [size=\"120440320\", alpha=\"0.08\", expect_size=\"48176128\"] \n  36 -> 41 [size =\"48176128\"]\n  36 -> 41 [size =\"48176128\"]\n  36 -> 43 [size =\"48176128\"]\n  36 -> 45 [size =\"48176128\"]\n  37 [size=\"47746560\", alpha=\"0.15\", expect_size=\"19098624\"] \n  37 -> 41 [size =\"19098624\"]\n  37 -> 42 [size =\"19098624\"]\n  37 -> 43 [size =\"19098624\"]\n  37 -> 44 [size =\"19098624\"]\n  38 [size=\"94164480\", alpha=\"0.13\", expect_size=\"37665792\"] \n  39 [size=\"89955840\", alpha=\"0.19\", expect_size=\"35982336\"] \n  40 [size=\"27159040\", alpha=\"0.13\", expect_size=\"10863616\"] \n  41 [size=\"19169280\", alpha=\"0.06\", expect_size=\"7667712\"] \n  42 [size=\"29022720\", alpha=\"0.18\", expect_size=\"11609088\"] \n  43 [size=\"123709440\", alpha=\"0.04\", expect_size=\"49483776\"] \n  44 [size=\"21104640\", alpha=\"0.16\", expect_size=\"8441856\"] \n  45 [size=\"86218240\", alpha=\"0.13\", expect_size=\"34487296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71470080\", alpha=\"0.14\", expect_size=\"28588032\"] \n  1 -> 28 [size =\"28588032\"]\n  1 -> 29 [size =\"28588032\"]\n  1 -> 33 [size =\"28588032\"]\n  1 -> 34 [size =\"28588032\"]\n  1 -> 35 [size =\"28588032\"]\n  1 -> 36 [size =\"28588032\"]\n  1 -> 37 [size =\"28588032\"]\n  1 -> 38 [size =\"28588032\"]\n  1 -> 42 [size =\"28588032\"]\n  1 -> 43 [size =\"28588032\"]\n  2 [size=\"81518080\", alpha=\"0.14\", expect_size=\"32607232\"] \n  2 -> 28 [size =\"32607232\"]\n  2 -> 29 [size =\"32607232\"]\n  2 -> 33 [size =\"32607232\"]\n  2 -> 34 [size =\"32607232\"]\n  2 -> 37 [size =\"32607232\"]\n  2 -> 38 [size =\"32607232\"]\n  2 -> 39 [size =\"32607232\"]\n  2 -> 43 [size =\"32607232\"]\n  2 -> 45 [size =\"32607232\"]\n  3 [size=\"99363840\", alpha=\"0.15\", expect_size=\"39745536\"] \n  3 -> 26 [size =\"39745536\"]\n  3 -> 28 [size =\"39745536\"]\n  3 -> 33 [size =\"39745536\"]\n  3 -> 36 [size =\"39745536\"]\n  3 -> 37 [size =\"39745536\"]\n  3 -> 38 [size =\"39745536\"]\n  3 -> 39 [size =\"39745536\"]\n  3 -> 41 [size =\"39745536\"]\n  3 -> 42 [size =\"39745536\"]\n  3 -> 45 [size =\"39745536\"]\n  4 [size=\"97231360\", alpha=\"0.01\", expect_size=\"38892544\"] \n  4 -> 28 [size =\"38892544\"]\n  4 -> 33 [size =\"38892544\"]\n  4 -> 33 [size =\"38892544\"]\n  4 -> 37 [size =\"38892544\"]\n  4 -> 37 [size =\"38892544\"]\n  4 -> 38 [size =\"38892544\"]\n  4 -> 45 [size =\"38892544\"]\n  5 [size=\"101580800\", alpha=\"0.11\", expect_size=\"40632320\"] \n  5 -> 26 [size =\"40632320\"]\n  5 -> 27 [size =\"40632320\"]\n  5 -> 33 [size =\"40632320\"]\n  5 -> 34 [size =\"40632320\"]\n  5 -> 37 [size =\"40632320\"]\n  5 -> 40 [size =\"40632320\"]\n  5 -> 42 [size =\"40632320\"]\n  5 -> 43 [size =\"40632320\"]\n  5 -> 45 [size =\"40632320\"]\n  6 [size=\"36410880\", alpha=\"0.03\", expect_size=\"14564352\"] \n  6 -> 28 [size =\"14564352\"]\n  6 -> 29 [size =\"14564352\"]\n  6 -> 33 [size =\"14564352\"]\n  6 -> 34 [size =\"14564352\"]\n  6 -> 37 [size =\"14564352\"]\n  6 -> 38 [size =\"14564352\"]\n  6 -> 40 [size =\"14564352\"]\n  6 -> 44 [size =\"14564352\"]\n  7 [size=\"77678080\", alpha=\"0.02\", expect_size=\"31071232\"] \n  7 -> 26 [size =\"31071232\"]\n  7 -> 29 [size =\"31071232\"]\n  7 -> 32 [size =\"31071232\"]\n  7 -> 34 [size =\"31071232\"]\n  7 -> 37 [size =\"31071232\"]\n  7 -> 39 [size =\"31071232\"]\n  7 -> 40 [size =\"31071232\"]\n  7 -> 44 [size =\"31071232\"]\n  8 [size=\"109429760\", alpha=\"0.20\", expect_size=\"43771904\"] \n  8 -> 26 [size =\"43771904\"]\n  8 -> 31 [size =\"43771904\"]\n  8 -> 33 [size =\"43771904\"]\n  8 -> 34 [size =\"43771904\"]\n  8 -> 35 [size =\"43771904\"]\n  8 -> 37 [size =\"43771904\"]\n  8 -> 38 [size =\"43771904\"]\n  8 -> 40 [size =\"43771904\"]\n  8 -> 41 [size =\"43771904\"]\n  8 -> 44 [size =\"43771904\"]\n  9 [size=\"117757440\", alpha=\"0.12\", expect_size=\"47102976\"] \n  9 -> 26 [size =\"47102976\"]\n  9 -> 27 [size =\"47102976\"]\n  9 -> 29 [size =\"47102976\"]\n  9 -> 33 [size =\"47102976\"]\n  9 -> 34 [size =\"47102976\"]\n  9 -> 36 [size =\"47102976\"]\n  9 -> 40 [size =\"47102976\"]\n  9 -> 40 [size =\"47102976\"]\n  9 -> 42 [size =\"47102976\"]\n  9 -> 45 [size =\"47102976\"]\n  10 [size=\"20769280\", alpha=\"0.17\", expect_size=\"8307712\"] \n  10 -> 27 [size =\"8307712\"]\n  10 -> 28 [size =\"8307712\"]\n  10 -> 34 [size =\"8307712\"]\n  10 -> 36 [size =\"8307712\"]\n  10 -> 38 [size =\"8307712\"]\n  10 -> 40 [size =\"8307712\"]\n  10 -> 42 [size =\"8307712\"]\n  10 -> 43 [size =\"8307712\"]\n  10 -> 45 [size =\"8307712\"]\n  11 [size=\"130693120\", alpha=\"0.14\", expect_size=\"52277248\"] \n  11 -> 28 [size =\"52277248\"]\n  11 -> 28 [size =\"52277248\"]\n  11 -> 30 [size =\"52277248\"]\n  11 -> 31 [size =\"52277248\"]\n  11 -> 34 [size =\"52277248\"]\n  11 -> 36 [size =\"52277248\"]\n  11 -> 37 [size =\"52277248\"]\n  11 -> 42 [size =\"52277248\"]\n  11 -> 43 [size =\"52277248\"]\n  11 -> 44 [size =\"52277248\"]\n  12 [size=\"95549440\", alpha=\"0.16\", expect_size=\"38219776\"] \n  12 -> 26 [size =\"38219776\"]\n  12 -> 28 [size =\"38219776\"]\n  12 -> 34 [size =\"38219776\"]\n  12 -> 36 [size =\"38219776\"]\n  12 -> 37 [size =\"38219776\"]\n  12 -> 38 [size =\"38219776\"]\n  12 -> 39 [size =\"38219776\"]\n  12 -> 42 [size =\"38219776\"]\n  12 -> 43 [size =\"38219776\"]\n  13 [size=\"62346240\", alpha=\"0.20\", expect_size=\"24938496\"] \n  13 -> 27 [size =\"24938496\"]\n  13 -> 28 [size =\"24938496\"]\n  13 -> 33 [size =\"24938496\"]\n  13 -> 34 [size =\"24938496\"]\n  13 -> 36 [size =\"24938496\"]\n  13 -> 39 [size =\"24938496\"]\n  13 -> 42 [size =\"24938496\"]\n  13 -> 42 [size =\"24938496\"]\n  13 -> 43 [size =\"24938496\"]\n  13 -> 45 [size =\"24938496\"]\n  14 [size=\"33804800\", alpha=\"0.05\", expect_size=\"13521920\"] \n  14 -> 26 [size =\"13521920\"]\n  14 -> 29 [size =\"13521920\"]\n  14 -> 30 [size =\"13521920\"]\n  14 -> 36 [size =\"13521920\"]\n  14 -> 39 [size =\"13521920\"]\n  14 -> 42 [size =\"13521920\"]\n  14 -> 43 [size =\"13521920\"]\n  15 [size=\"38727680\", alpha=\"0.05\", expect_size=\"15491072\"] \n  15 -> 29 [size =\"15491072\"]\n  15 -> 33 [size =\"15491072\"]\n  15 -> 40 [size =\"15491072\"]\n  15 -> 43 [size =\"15491072\"]\n  16 [size=\"102914560\", alpha=\"0.12\", expect_size=\"41165824\"] \n  16 -> 27 [size =\"41165824\"]\n  16 -> 29 [size =\"41165824\"]\n  16 -> 31 [size =\"41165824\"]\n  16 -> 41 [size =\"41165824\"]\n  16 -> 42 [size =\"41165824\"]\n  17 [size=\"121989120\", alpha=\"0.04\", expect_size=\"48795648\"] \n  17 -> 26 [size =\"48795648\"]\n  17 -> 33 [size =\"48795648\"]\n  17 -> 34 [size =\"48795648\"]\n  17 -> 38 [size =\"48795648\"]\n  17 -> 39 [size =\"48795648\"]\n  17 -> 40 [size =\"48795648\"]\n  17 -> 41 [size =\"48795648\"]\n  18 [size=\"16010240\", alpha=\"0.10\", expect_size=\"6404096\"] \n  18 -> 28 [size =\"6404096\"]\n  18 -> 31 [size =\"6404096\"]\n  18 -> 33 [size =\"6404096\"]\n  18 -> 34 [size =\"6404096\"]\n  18 -> 37 [size =\"6404096\"]\n  19 [size=\"15887360\", alpha=\"0.15\", expect_size=\"6354944\"] \n  19 -> 27 [size =\"6354944\"]\n  19 -> 28 [size =\"6354944\"]\n  19 -> 29 [size =\"6354944\"]\n  19 -> 33 [size =\"6354944\"]\n  19 -> 34 [size =\"6354944\"]\n  19 -> 41 [size =\"6354944\"]\n  19 -> 45 [size =\"6354944\"]\n  20 [size=\"85841920\", alpha=\"0.10\", expect_size=\"34336768\"] \n  20 -> 27 [size =\"34336768\"]\n  20 -> 28 [size =\"34336768\"]\n  20 -> 31 [size =\"34336768\"]\n  20 -> 32 [size =\"34336768\"]\n  20 -> 33 [size =\"34336768\"]\n  20 -> 36 [size =\"34336768\"]\n  20 -> 42 [size =\"34336768\"]\n  20 -> 45 [size =\"34336768\"]\n  21 [size=\"66268160\", alpha=\"0.15\", expect_size=\"26507264\"] \n  21 -> 27 [size =\"26507264\"]\n  21 -> 28 [size =\"26507264\"]\n  21 -> 32 [size =\"26507264\"]\n  21 -> 33 [size =\"26507264\"]\n  21 -> 36 [size =\"26507264\"]\n  21 -> 42 [size =\"26507264\"]\n  22 [size=\"30197760\", alpha=\"0.12\", expect_size=\"12079104\"] \n  22 -> 26 [size =\"12079104\"]\n  22 -> 27 [size =\"12079104\"]\n  22 -> 29 [size =\"12079104\"]\n  22 -> 32 [size =\"12079104\"]\n  22 -> 36 [size =\"12079104\"]\n  22 -> 37 [size =\"12079104\"]\n  22 -> 40 [size =\"12079104\"]\n  22 -> 42 [size =\"12079104\"]\n  22 -> 44 [size =\"12079104\"]\n  23 [size=\"123522560\", alpha=\"0.03\", expect_size=\"49409024\"] \n  23 -> 27 [size =\"49409024\"]\n  23 -> 29 [size =\"49409024\"]\n  23 -> 32 [size =\"49409024\"]\n  23 -> 33 [size =\"49409024\"]\n  23 -> 42 [size =\"49409024\"]\n  23 -> 43 [size =\"49409024\"]\n  24 [size=\"122746880\", alpha=\"0.09\", expect_size=\"49098752\"] \n  24 -> 28 [size =\"49098752\"]\n  24 -> 29 [size =\"49098752\"]\n  24 -> 33 [size =\"49098752\"]\n  24 -> 38 [size =\"49098752\"]\n  24 -> 40 [size =\"49098752\"]\n  24 -> 41 [size =\"49098752\"]\n  24 -> 42 [size =\"49098752\"]\n  25 [size=\"36966400\", alpha=\"0.09\", expect_size=\"14786560\"] \n  25 -> 27 [size =\"14786560\"]\n  25 -> 28 [size =\"14786560\"]\n  25 -> 29 [size =\"14786560\"]\n  25 -> 35 [size =\"14786560\"]\n  25 -> 36 [size =\"14786560\"]\n  25 -> 38 [size =\"14786560\"]\n  25 -> 39 [size =\"14786560\"]\n  25 -> 42 [size =\"14786560\"]\n  25 -> 44 [size =\"14786560\"]\n  26 [size=\"67473920\", alpha=\"0.14\", expect_size=\"26989568\"] \n  27 [size=\"20106240\", alpha=\"0.09\", expect_size=\"8042496\"] \n  28 [size=\"43320320\", alpha=\"0.01\", expect_size=\"17328128\"] \n  29 [size=\"105090560\", alpha=\"0.11\", expect_size=\"42036224\"] \n  30 [size=\"75714560\", alpha=\"0.02\", expect_size=\"30285824\"] \n  31 [size=\"17958400\", alpha=\"0.12\", expect_size=\"7183360\"] \n  32 [size=\"108154880\", alpha=\"0.17\", expect_size=\"43261952\"] \n  33 [size=\"60817920\", alpha=\"0.10\", expect_size=\"24327168\"] \n  34 [size=\"80174080\", alpha=\"0.07\", expect_size=\"32069632\"] \n  35 [size=\"14415360\", alpha=\"0.08\", expect_size=\"5766144\"] \n  36 [size=\"69982720\", alpha=\"0.04\", expect_size=\"27993088\"] \n  37 [size=\"34250240\", alpha=\"0.19\", expect_size=\"13700096\"] \n  38 [size=\"89758720\", alpha=\"0.14\", expect_size=\"35903488\"] \n  39 [size=\"96898560\", alpha=\"0.09\", expect_size=\"38759424\"] \n  40 [size=\"42355200\", alpha=\"0.17\", expect_size=\"16942080\"] \n  41 [size=\"51760640\", alpha=\"0.14\", expect_size=\"20704256\"] \n  42 [size=\"124736000\", alpha=\"0.14\", expect_size=\"49894400\"] \n  43 [size=\"107791360\", alpha=\"0.13\", expect_size=\"43116544\"] \n  44 [size=\"50170880\", alpha=\"0.10\", expect_size=\"20068352\"] \n  45 [size=\"90534400\", alpha=\"0.11\", expect_size=\"36213760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99299840\", alpha=\"0.10\", expect_size=\"39719936\"] \n  1 -> 4 [size =\"39719936\"]\n  2 [size=\"36372480\", alpha=\"0.00\", expect_size=\"14548992\"] \n  2 -> 5 [size =\"14548992\"]\n  3 [size=\"20720640\", alpha=\"0.19\", expect_size=\"8288256\"] \n  4 [size=\"50050560\", alpha=\"0.16\", expect_size=\"20020224\"] \n  4 -> 6 [size =\"20020224\"]\n  4 -> 7 [size =\"20020224\"]\n  5 [size=\"95685120\", alpha=\"0.15\", expect_size=\"38274048\"] \n  5 -> 7 [size =\"38274048\"]\n  5 -> 8 [size =\"38274048\"]\n  6 [size=\"126246400\", alpha=\"0.05\", expect_size=\"50498560\"] \n  7 [size=\"16714240\", alpha=\"0.02\", expect_size=\"6685696\"] \n  7 -> 10 [size =\"6685696\"]\n  7 -> 11 [size =\"6685696\"]\n  8 [size=\"112302080\", alpha=\"0.09\", expect_size=\"44920832\"] \n  8 -> 9 [size =\"44920832\"]\n  9 [size=\"86256640\", alpha=\"0.01\", expect_size=\"34502656\"] \n  9 -> 12 [size =\"34502656\"]\n  9 -> 13 [size =\"34502656\"]\n  10 [size=\"44748800\", alpha=\"0.19\", expect_size=\"17899520\"] \n  10 -> 12 [size =\"17899520\"]\n  11 [size=\"34250240\", alpha=\"0.14\", expect_size=\"13700096\"] \n  11 -> 13 [size =\"13700096\"]\n  12 [size=\"92070400\", alpha=\"0.08\", expect_size=\"36828160\"] \n  13 [size=\"93652480\", alpha=\"0.04\", expect_size=\"37460992\"] \n  13 -> 14 [size =\"37460992\"]\n  13 -> 15 [size =\"37460992\"]\n  14 [size=\"89579520\", alpha=\"0.17\", expect_size=\"35831808\"] \n  14 -> 16 [size =\"35831808\"]\n  14 -> 17 [size =\"35831808\"]\n  15 [size=\"64586240\", alpha=\"0.07\", expect_size=\"25834496\"] \n  15 -> 16 [size =\"25834496\"]\n  15 -> 17 [size =\"25834496\"]\n  15 -> 18 [size =\"25834496\"]\n  16 [size=\"34926080\", alpha=\"0.09\", expect_size=\"13970432\"] \n  16 -> 19 [size =\"13970432\"]\n  17 [size=\"64670720\", alpha=\"0.12\", expect_size=\"25868288\"] \n  17 -> 21 [size =\"25868288\"]\n  18 [size=\"73525760\", alpha=\"0.11\", expect_size=\"29410304\"] \n  18 -> 19 [size =\"29410304\"]\n  18 -> 20 [size =\"29410304\"]\n  18 -> 21 [size =\"29410304\"]\n  19 [size=\"126786560\", alpha=\"0.12\", expect_size=\"50714624\"] \n  19 -> 22 [size =\"50714624\"]\n  20 [size=\"13460480\", alpha=\"0.07\", expect_size=\"5384192\"] \n  21 [size=\"125688320\", alpha=\"0.17\", expect_size=\"50275328\"] \n  21 -> 22 [size =\"50275328\"]\n  21 -> 23 [size =\"50275328\"]\n  21 -> 24 [size =\"50275328\"]\n  22 [size=\"88660480\", alpha=\"0.10\", expect_size=\"35464192\"] \n  22 -> 26 [size =\"35464192\"]\n  23 [size=\"18232320\", alpha=\"0.05\", expect_size=\"7292928\"] \n  23 -> 26 [size =\"7292928\"]\n  24 [size=\"41937920\", alpha=\"0.07\", expect_size=\"16775168\"] \n  24 -> 25 [size =\"16775168\"]\n  25 [size=\"22279680\", alpha=\"0.02\", expect_size=\"8911872\"] \n  25 -> 27 [size =\"8911872\"]\n  25 -> 28 [size =\"8911872\"]\n  26 [size=\"62530560\", alpha=\"0.16\", expect_size=\"25012224\"] \n  26 -> 29 [size =\"25012224\"]\n  27 [size=\"115819520\", alpha=\"0.12\", expect_size=\"46327808\"] \n  27 -> 30 [size =\"46327808\"]\n  27 -> 31 [size =\"46327808\"]\n  28 [size=\"67069440\", alpha=\"0.03\", expect_size=\"26827776\"] \n  29 [size=\"16015360\", alpha=\"0.08\", expect_size=\"6406144\"] \n  30 [size=\"85411840\", alpha=\"0.17\", expect_size=\"34164736\"] \n  30 -> 32 [size =\"34164736\"]\n  30 -> 34 [size =\"34164736\"]\n  31 [size=\"126305280\", alpha=\"0.11\", expect_size=\"50522112\"] \n  31 -> 32 [size =\"50522112\"]\n  31 -> 33 [size =\"50522112\"]\n  31 -> 34 [size =\"50522112\"]\n  32 [size=\"106926080\", alpha=\"0.17\", expect_size=\"42770432\"] \n  32 -> 36 [size =\"42770432\"]\n  32 -> 37 [size =\"42770432\"]\n  33 [size=\"50539520\", alpha=\"0.18\", expect_size=\"20215808\"] \n  33 -> 35 [size =\"20215808\"]\n  34 [size=\"82726400\", alpha=\"0.11\", expect_size=\"33090560\"] \n  34 -> 36 [size =\"33090560\"]\n  35 [size=\"122462720\", alpha=\"0.13\", expect_size=\"48985088\"] \n  35 -> 40 [size =\"48985088\"]\n  36 [size=\"16399360\", alpha=\"0.18\", expect_size=\"6559744\"] \n  36 -> 38 [size =\"6559744\"]\n  36 -> 39 [size =\"6559744\"]\n  36 -> 40 [size =\"6559744\"]\n  37 [size=\"113607680\", alpha=\"0.13\", expect_size=\"45443072\"] \n  38 [size=\"63797760\", alpha=\"0.18\", expect_size=\"25519104\"] \n  38 -> 41 [size =\"25519104\"]\n  39 [size=\"84136960\", alpha=\"0.02\", expect_size=\"33654784\"] \n  39 -> 42 [size =\"33654784\"]\n  39 -> 43 [size =\"33654784\"]\n  40 [size=\"129807360\", alpha=\"0.06\", expect_size=\"51922944\"] \n  40 -> 41 [size =\"51922944\"]\n  40 -> 42 [size =\"51922944\"]\n  40 -> 43 [size =\"51922944\"]\n  41 [size=\"114488320\", alpha=\"0.09\", expect_size=\"45795328\"] \n  41 -> 44 [size =\"45795328\"]\n  42 [size=\"59322880\", alpha=\"0.05\", expect_size=\"23729152\"] \n  42 -> 44 [size =\"23729152\"]\n  43 [size=\"43279360\", alpha=\"0.01\", expect_size=\"17311744\"] \n  43 -> 45 [size =\"17311744\"]\n  44 [size=\"28935680\", alpha=\"0.03\", expect_size=\"11574272\"] \n  45 [size=\"92764160\", alpha=\"0.06\", expect_size=\"37105664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102628693\", alpha=\"0.04\", expect_size=\"30788608\"] \n  1 -> 5 [size =\"30788608\"]\n  1 -> 10 [size =\"30788608\"]\n  2 [size=\"73611947\", alpha=\"0.03\", expect_size=\"22083584\"] \n  2 -> 5 [size =\"22083584\"]\n  2 -> 6 [size =\"22083584\"]\n  2 -> 7 [size =\"22083584\"]\n  2 -> 10 [size =\"22083584\"]\n  2 -> 11 [size =\"22083584\"]\n  2 -> 12 [size =\"22083584\"]\n  3 [size=\"60272640\", alpha=\"0.17\", expect_size=\"18081792\"] \n  3 -> 5 [size =\"18081792\"]\n  3 -> 8 [size =\"18081792\"]\n  3 -> 10 [size =\"18081792\"]\n  3 -> 11 [size =\"18081792\"]\n  4 [size=\"29603840\", alpha=\"0.06\", expect_size=\"8881152\"] \n  4 -> 5 [size =\"8881152\"]\n  4 -> 7 [size =\"8881152\"]\n  4 -> 8 [size =\"8881152\"]\n  4 -> 9 [size =\"8881152\"]\n  4 -> 10 [size =\"8881152\"]\n  4 -> 11 [size =\"8881152\"]\n  5 [size=\"136799573\", alpha=\"0.05\", expect_size=\"41039872\"] \n  5 -> 13 [size =\"41039872\"]\n  5 -> 15 [size =\"41039872\"]\n  5 -> 16 [size =\"41039872\"]\n  6 [size=\"93709653\", alpha=\"0.00\", expect_size=\"28112896\"] \n  6 -> 13 [size =\"28112896\"]\n  6 -> 14 [size =\"28112896\"]\n  7 [size=\"61754027\", alpha=\"0.15\", expect_size=\"18526208\"] \n  7 -> 13 [size =\"18526208\"]\n  7 -> 16 [size =\"18526208\"]\n  8 [size=\"89658027\", alpha=\"0.20\", expect_size=\"26897408\"] \n  8 -> 13 [size =\"26897408\"]\n  9 [size=\"96815787\", alpha=\"0.14\", expect_size=\"29044736\"] \n  9 -> 13 [size =\"29044736\"]\n  9 -> 16 [size =\"29044736\"]\n  10 [size=\"112977920\", alpha=\"0.01\", expect_size=\"33893376\"] \n  10 -> 13 [size =\"33893376\"]\n  10 -> 16 [size =\"33893376\"]\n  11 [size=\"69659307\", alpha=\"0.13\", expect_size=\"20897792\"] \n  11 -> 13 [size =\"20897792\"]\n  11 -> 16 [size =\"20897792\"]\n  12 [size=\"97249280\", alpha=\"0.03\", expect_size=\"29174784\"] \n  12 -> 13 [size =\"29174784\"]\n  12 -> 14 [size =\"29174784\"]\n  12 -> 16 [size =\"29174784\"]\n  13 [size=\"122122240\", alpha=\"0.19\", expect_size=\"36636672\"] \n  13 -> 17 [size =\"36636672\"]\n  13 -> 18 [size =\"36636672\"]\n  13 -> 19 [size =\"36636672\"]\n  14 [size=\"96761173\", alpha=\"0.16\", expect_size=\"29028352\"] \n  14 -> 17 [size =\"29028352\"]\n  14 -> 19 [size =\"29028352\"]\n  15 [size=\"146387627\", alpha=\"0.16\", expect_size=\"43916288\"] \n  15 -> 17 [size =\"43916288\"]\n  15 -> 19 [size =\"43916288\"]\n  16 [size=\"27702613\", alpha=\"0.09\", expect_size=\"8310784\"] \n  16 -> 17 [size =\"8310784\"]\n  16 -> 19 [size =\"8310784\"]\n  17 [size=\"30429867\", alpha=\"0.09\", expect_size=\"9128960\"] \n  17 -> 22 [size =\"9128960\"]\n  17 -> 23 [size =\"9128960\"]\n  17 -> 24 [size =\"9128960\"]\n  18 [size=\"144520533\", alpha=\"0.09\", expect_size=\"43356160\"] \n  18 -> 21 [size =\"43356160\"]\n  18 -> 22 [size =\"43356160\"]\n  18 -> 23 [size =\"43356160\"]\n  18 -> 24 [size =\"43356160\"]\n  19 [size=\"142336000\", alpha=\"0.18\", expect_size=\"42700800\"] \n  19 -> 20 [size =\"42700800\"]\n  19 -> 22 [size =\"42700800\"]\n  19 -> 23 [size =\"42700800\"]\n  19 -> 24 [size =\"42700800\"]\n  20 [size=\"93887147\", alpha=\"0.07\", expect_size=\"28166144\"] \n  20 -> 25 [size =\"28166144\"]\n  20 -> 28 [size =\"28166144\"]\n  20 -> 30 [size =\"28166144\"]\n  20 -> 31 [size =\"28166144\"]\n  21 [size=\"104471893\", alpha=\"0.06\", expect_size=\"31341568\"] \n  21 -> 25 [size =\"31341568\"]\n  21 -> 26 [size =\"31341568\"]\n  21 -> 29 [size =\"31341568\"]\n  21 -> 30 [size =\"31341568\"]\n  21 -> 31 [size =\"31341568\"]\n  22 [size=\"52561920\", alpha=\"0.13\", expect_size=\"15768576\"] \n  22 -> 25 [size =\"15768576\"]\n  22 -> 26 [size =\"15768576\"]\n  22 -> 27 [size =\"15768576\"]\n  22 -> 28 [size =\"15768576\"]\n  22 -> 29 [size =\"15768576\"]\n  22 -> 31 [size =\"15768576\"]\n  23 [size=\"75096747\", alpha=\"0.06\", expect_size=\"22529024\"] \n  23 -> 25 [size =\"22529024\"]\n  23 -> 28 [size =\"22529024\"]\n  23 -> 29 [size =\"22529024\"]\n  23 -> 31 [size =\"22529024\"]\n  24 [size=\"65047893\", alpha=\"0.20\", expect_size=\"19514368\"] \n  24 -> 25 [size =\"19514368\"]\n  24 -> 28 [size =\"19514368\"]\n  24 -> 29 [size =\"19514368\"]\n  24 -> 30 [size =\"19514368\"]\n  25 [size=\"36491947\", alpha=\"0.09\", expect_size=\"10947584\"] \n  25 -> 32 [size =\"10947584\"]\n  25 -> 33 [size =\"10947584\"]\n  26 [size=\"163532800\", alpha=\"0.08\", expect_size=\"49059840\"] \n  26 -> 32 [size =\"49059840\"]\n  27 [size=\"80356693\", alpha=\"0.12\", expect_size=\"24107008\"] \n  27 -> 32 [size =\"24107008\"]\n  27 -> 33 [size =\"24107008\"]\n  27 -> 34 [size =\"24107008\"]\n  28 [size=\"152572587\", alpha=\"0.06\", expect_size=\"45771776\"] \n  28 -> 32 [size =\"45771776\"]\n  28 -> 33 [size =\"45771776\"]\n  28 -> 34 [size =\"45771776\"]\n  29 [size=\"64320853\", alpha=\"0.09\", expect_size=\"19296256\"] \n  29 -> 33 [size =\"19296256\"]\n  29 -> 33 [size =\"19296256\"]\n  29 -> 34 [size =\"19296256\"]\n  30 [size=\"45998080\", alpha=\"0.05\", expect_size=\"13799424\"] \n  30 -> 32 [size =\"13799424\"]\n  30 -> 33 [size =\"13799424\"]\n  30 -> 34 [size =\"13799424\"]\n  31 [size=\"98392747\", alpha=\"0.08\", expect_size=\"29517824\"] \n  31 -> 32 [size =\"29517824\"]\n  31 -> 33 [size =\"29517824\"]\n  31 -> 34 [size =\"29517824\"]\n  32 [size=\"149367467\", alpha=\"0.00\", expect_size=\"44810240\"] \n  32 -> 36 [size =\"44810240\"]\n  32 -> 37 [size =\"44810240\"]\n  33 [size=\"97778347\", alpha=\"0.06\", expect_size=\"29333504\"] \n  33 -> 37 [size =\"29333504\"]\n  34 [size=\"143708160\", alpha=\"0.02\", expect_size=\"43112448\"] \n  34 -> 35 [size =\"43112448\"]\n  34 -> 37 [size =\"43112448\"]\n  35 [size=\"141998080\", alpha=\"0.15\", expect_size=\"42599424\"] \n  35 -> 42 [size =\"42599424\"]\n  36 [size=\"54691840\", alpha=\"0.09\", expect_size=\"16407552\"] \n  36 -> 38 [size =\"16407552\"]\n  36 -> 39 [size =\"16407552\"]\n  36 -> 40 [size =\"16407552\"]\n  36 -> 41 [size =\"16407552\"]\n  37 [size=\"115305813\", alpha=\"0.04\", expect_size=\"34591744\"] \n  37 -> 38 [size =\"34591744\"]\n  37 -> 39 [size =\"34591744\"]\n  37 -> 40 [size =\"34591744\"]\n  37 -> 42 [size =\"34591744\"]\n  38 [size=\"53544960\", alpha=\"0.15\", expect_size=\"16063488\"] \n  38 -> 43 [size =\"16063488\"]\n  38 -> 44 [size =\"16063488\"]\n  38 -> 45 [size =\"16063488\"]\n  39 [size=\"98884267\", alpha=\"0.03\", expect_size=\"29665280\"] \n  39 -> 45 [size =\"29665280\"]\n  40 [size=\"173373440\", alpha=\"0.20\", expect_size=\"52012032\"] \n  40 -> 43 [size =\"52012032\"]\n  40 -> 44 [size =\"52012032\"]\n  40 -> 45 [size =\"52012032\"]\n  41 [size=\"57951573\", alpha=\"0.08\", expect_size=\"17385472\"] \n  41 -> 43 [size =\"17385472\"]\n  41 -> 44 [size =\"17385472\"]\n  42 [size=\"119367680\", alpha=\"0.01\", expect_size=\"35810304\"] \n  42 -> 43 [size =\"35810304\"]\n  42 -> 45 [size =\"35810304\"]\n  43 [size=\"122832213\", alpha=\"0.01\", expect_size=\"36849664\"] \n  44 [size=\"172987733\", alpha=\"0.07\", expect_size=\"51896320\"] \n  45 [size=\"34546347\", alpha=\"0.15\", expect_size=\"10363904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168799573\", alpha=\"0.12\", expect_size=\"50639872\"] \n  1 -> 2 [size =\"50639872\"]\n  2 [size=\"131396267\", alpha=\"0.08\", expect_size=\"39418880\"] \n  2 -> 3 [size =\"39418880\"]\n  3 [size=\"28508160\", alpha=\"0.07\", expect_size=\"8552448\"] \n  3 -> 4 [size =\"8552448\"]\n  4 [size=\"77557760\", alpha=\"0.15\", expect_size=\"23267328\"] \n  4 -> 5 [size =\"23267328\"]\n  5 [size=\"36526080\", alpha=\"0.05\", expect_size=\"10957824\"] \n  5 -> 6 [size =\"10957824\"]\n  6 [size=\"89337173\", alpha=\"0.18\", expect_size=\"26801152\"] \n  6 -> 7 [size =\"26801152\"]\n  7 [size=\"77209600\", alpha=\"0.04\", expect_size=\"23162880\"] \n  7 -> 8 [size =\"23162880\"]\n  8 [size=\"134570667\", alpha=\"0.11\", expect_size=\"40371200\"] \n  8 -> 9 [size =\"40371200\"]\n  9 [size=\"98017280\", alpha=\"0.09\", expect_size=\"29405184\"] \n  9 -> 10 [size =\"29405184\"]\n  10 [size=\"30173867\", alpha=\"0.14\", expect_size=\"9052160\"] \n  10 -> 11 [size =\"9052160\"]\n  11 [size=\"159720107\", alpha=\"0.17\", expect_size=\"47916032\"] \n  11 -> 12 [size =\"47916032\"]\n  12 [size=\"97054720\", alpha=\"0.11\", expect_size=\"29116416\"] \n  12 -> 13 [size =\"29116416\"]\n  13 [size=\"163037867\", alpha=\"0.03\", expect_size=\"48911360\"] \n  13 -> 14 [size =\"48911360\"]\n  14 [size=\"59706027\", alpha=\"0.19\", expect_size=\"17911808\"] \n  14 -> 15 [size =\"17911808\"]\n  15 [size=\"23845547\", alpha=\"0.06\", expect_size=\"7153664\"] \n  15 -> 16 [size =\"7153664\"]\n  16 [size=\"63232000\", alpha=\"0.07\", expect_size=\"18969600\"] \n  16 -> 17 [size =\"18969600\"]\n  17 [size=\"48479573\", alpha=\"0.08\", expect_size=\"14543872\"] \n  17 -> 18 [size =\"14543872\"]\n  18 [size=\"80872107\", alpha=\"0.07\", expect_size=\"24261632\"] \n  18 -> 19 [size =\"24261632\"]\n  19 [size=\"167492267\", alpha=\"0.03\", expect_size=\"50247680\"] \n  19 -> 20 [size =\"50247680\"]\n  20 [size=\"79602347\", alpha=\"0.04\", expect_size=\"23880704\"] \n  20 -> 21 [size =\"23880704\"]\n  21 [size=\"35887787\", alpha=\"0.05\", expect_size=\"10766336\"] \n  21 -> 22 [size =\"10766336\"]\n  22 [size=\"167072427\", alpha=\"0.19\", expect_size=\"50121728\"] \n  22 -> 23 [size =\"50121728\"]\n  23 [size=\"98976427\", alpha=\"0.16\", expect_size=\"29692928\"] \n  23 -> 24 [size =\"29692928\"]\n  24 [size=\"118681600\", alpha=\"0.20\", expect_size=\"35604480\"] \n  24 -> 25 [size =\"35604480\"]\n  25 [size=\"109359787\", alpha=\"0.06\", expect_size=\"32807936\"] \n  25 -> 26 [size =\"32807936\"]\n  26 [size=\"153371307\", alpha=\"0.01\", expect_size=\"46011392\"] \n  26 -> 27 [size =\"46011392\"]\n  27 [size=\"52609707\", alpha=\"0.04\", expect_size=\"15782912\"] \n  27 -> 28 [size =\"15782912\"]\n  28 [size=\"113619627\", alpha=\"0.02\", expect_size=\"34085888\"] \n  28 -> 29 [size =\"34085888\"]\n  29 [size=\"165870933\", alpha=\"0.11\", expect_size=\"49761280\"] \n  29 -> 30 [size =\"49761280\"]\n  30 [size=\"32163840\", alpha=\"0.00\", expect_size=\"9649152\"] \n  30 -> 31 [size =\"9649152\"]\n  31 [size=\"64720213\", alpha=\"0.08\", expect_size=\"19416064\"] \n  31 -> 32 [size =\"19416064\"]\n  32 [size=\"100293973\", alpha=\"0.06\", expect_size=\"30088192\"] \n  32 -> 33 [size =\"30088192\"]\n  33 [size=\"95515307\", alpha=\"0.03\", expect_size=\"28654592\"] \n  33 -> 34 [size =\"28654592\"]\n  34 [size=\"61422933\", alpha=\"0.05\", expect_size=\"18426880\"] \n  34 -> 35 [size =\"18426880\"]\n  35 [size=\"58098347\", alpha=\"0.07\", expect_size=\"17429504\"] \n  35 -> 36 [size =\"17429504\"]\n  36 [size=\"104591360\", alpha=\"0.16\", expect_size=\"31377408\"] \n  36 -> 37 [size =\"31377408\"]\n  37 [size=\"115479893\", alpha=\"0.08\", expect_size=\"34643968\"] \n  37 -> 38 [size =\"34643968\"]\n  38 [size=\"150500693\", alpha=\"0.09\", expect_size=\"45150208\"] \n  38 -> 39 [size =\"45150208\"]\n  39 [size=\"169458347\", alpha=\"0.09\", expect_size=\"50837504\"] \n  39 -> 40 [size =\"50837504\"]\n  40 [size=\"95617707\", alpha=\"0.16\", expect_size=\"28685312\"] \n  40 -> 41 [size =\"28685312\"]\n  41 [size=\"98952533\", alpha=\"0.06\", expect_size=\"29685760\"] \n  41 -> 42 [size =\"29685760\"]\n  42 [size=\"164433920\", alpha=\"0.15\", expect_size=\"49330176\"] \n  42 -> 43 [size =\"49330176\"]\n  43 [size=\"57060693\", alpha=\"0.14\", expect_size=\"17118208\"] \n  43 -> 44 [size =\"17118208\"]\n  44 [size=\"79684267\", alpha=\"0.06\", expect_size=\"23905280\"] \n  44 -> 45 [size =\"23905280\"]\n  45 [size=\"117248000\", alpha=\"0.10\", expect_size=\"35174400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86753280\", alpha=\"0.15\", expect_size=\"43376640\"] \n  1 -> 18 [size =\"43376640\"]\n  1 -> 21 [size =\"43376640\"]\n  1 -> 23 [size =\"43376640\"]\n  2 [size=\"104019968\", alpha=\"0.04\", expect_size=\"52009984\"] \n  2 -> 18 [size =\"52009984\"]\n  2 -> 20 [size =\"52009984\"]\n  2 -> 21 [size =\"52009984\"]\n  2 -> 23 [size =\"52009984\"]\n  2 -> 26 [size =\"52009984\"]\n  2 -> 29 [size =\"52009984\"]\n  2 -> 30 [size =\"52009984\"]\n  3 [size=\"87678976\", alpha=\"0.14\", expect_size=\"43839488\"] \n  3 -> 21 [size =\"43839488\"]\n  3 -> 30 [size =\"43839488\"]\n  4 [size=\"91299840\", alpha=\"0.15\", expect_size=\"45649920\"] \n  4 -> 17 [size =\"45649920\"]\n  4 -> 21 [size =\"45649920\"]\n  4 -> 24 [size =\"45649920\"]\n  4 -> 26 [size =\"45649920\"]\n  4 -> 30 [size =\"45649920\"]\n  5 [size=\"70770688\", alpha=\"0.00\", expect_size=\"35385344\"] \n  5 -> 16 [size =\"35385344\"]\n  5 -> 20 [size =\"35385344\"]\n  5 -> 21 [size =\"35385344\"]\n  5 -> 24 [size =\"35385344\"]\n  5 -> 25 [size =\"35385344\"]\n  5 -> 29 [size =\"35385344\"]\n  5 -> 30 [size =\"35385344\"]\n  6 [size=\"23617536\", alpha=\"0.09\", expect_size=\"11808768\"] \n  6 -> 18 [size =\"11808768\"]\n  6 -> 19 [size =\"11808768\"]\n  6 -> 20 [size =\"11808768\"]\n  6 -> 24 [size =\"11808768\"]\n  6 -> 25 [size =\"11808768\"]\n  6 -> 27 [size =\"11808768\"]\n  6 -> 29 [size =\"11808768\"]\n  6 -> 30 [size =\"11808768\"]\n  7 [size=\"41302016\", alpha=\"0.04\", expect_size=\"20651008\"] \n  7 -> 18 [size =\"20651008\"]\n  7 -> 23 [size =\"20651008\"]\n  8 [size=\"46804992\", alpha=\"0.18\", expect_size=\"23402496\"] \n  8 -> 18 [size =\"23402496\"]\n  8 -> 23 [size =\"23402496\"]\n  9 [size=\"25638912\", alpha=\"0.19\", expect_size=\"12819456\"] \n  9 -> 21 [size =\"12819456\"]\n  9 -> 22 [size =\"12819456\"]\n  9 -> 23 [size =\"12819456\"]\n  10 [size=\"15630336\", alpha=\"0.06\", expect_size=\"7815168\"] \n  10 -> 16 [size =\"7815168\"]\n  10 -> 20 [size =\"7815168\"]\n  10 -> 21 [size =\"7815168\"]\n  10 -> 24 [size =\"7815168\"]\n  10 -> 29 [size =\"7815168\"]\n  11 [size=\"42422272\", alpha=\"0.14\", expect_size=\"21211136\"] \n  11 -> 16 [size =\"21211136\"]\n  11 -> 17 [size =\"21211136\"]\n  11 -> 20 [size =\"21211136\"]\n  11 -> 22 [size =\"21211136\"]\n  11 -> 24 [size =\"21211136\"]\n  11 -> 29 [size =\"21211136\"]\n  11 -> 30 [size =\"21211136\"]\n  12 [size=\"20406272\", alpha=\"0.05\", expect_size=\"10203136\"] \n  12 -> 16 [size =\"10203136\"]\n  12 -> 18 [size =\"10203136\"]\n  12 -> 19 [size =\"10203136\"]\n  12 -> 20 [size =\"10203136\"]\n  12 -> 24 [size =\"10203136\"]\n  12 -> 30 [size =\"10203136\"]\n  13 [size=\"40663040\", alpha=\"0.09\", expect_size=\"20331520\"] \n  13 -> 16 [size =\"20331520\"]\n  13 -> 18 [size =\"20331520\"]\n  13 -> 23 [size =\"20331520\"]\n  13 -> 24 [size =\"20331520\"]\n  13 -> 26 [size =\"20331520\"]\n  13 -> 28 [size =\"20331520\"]\n  13 -> 29 [size =\"20331520\"]\n  14 [size=\"11626496\", alpha=\"0.13\", expect_size=\"5813248\"] \n  14 -> 22 [size =\"5813248\"]\n  14 -> 23 [size =\"5813248\"]\n  14 -> 28 [size =\"5813248\"]\n  14 -> 30 [size =\"5813248\"]\n  15 [size=\"82364416\", alpha=\"0.19\", expect_size=\"41182208\"] \n  15 -> 18 [size =\"41182208\"]\n  15 -> 22 [size =\"41182208\"]\n  15 -> 23 [size =\"41182208\"]\n  15 -> 24 [size =\"41182208\"]\n  15 -> 29 [size =\"41182208\"]\n  16 [size=\"82964480\", alpha=\"0.18\", expect_size=\"41482240\"] \n  16 -> 36 [size =\"41482240\"]\n  16 -> 38 [size =\"41482240\"]\n  17 [size=\"29378560\", alpha=\"0.09\", expect_size=\"14689280\"] \n  17 -> 33 [size =\"14689280\"]\n  17 -> 34 [size =\"14689280\"]\n  17 -> 37 [size =\"14689280\"]\n  17 -> 38 [size =\"14689280\"]\n  18 [size=\"49608704\", alpha=\"0.12\", expect_size=\"24804352\"] \n  18 -> 31 [size =\"24804352\"]\n  18 -> 33 [size =\"24804352\"]\n  18 -> 34 [size =\"24804352\"]\n  18 -> 35 [size =\"24804352\"]\n  18 -> 40 [size =\"24804352\"]\n  19 [size=\"41285632\", alpha=\"0.11\", expect_size=\"20642816\"] \n  19 -> 34 [size =\"20642816\"]\n  19 -> 35 [size =\"20642816\"]\n  19 -> 38 [size =\"20642816\"]\n  19 -> 41 [size =\"20642816\"]\n  19 -> 43 [size =\"20642816\"]\n  20 [size=\"38332416\", alpha=\"0.09\", expect_size=\"19166208\"] \n  20 -> 34 [size =\"19166208\"]\n  20 -> 38 [size =\"19166208\"]\n  20 -> 39 [size =\"19166208\"]\n  20 -> 43 [size =\"19166208\"]\n  21 [size=\"64849920\", alpha=\"0.02\", expect_size=\"32424960\"] \n  21 -> 34 [size =\"32424960\"]\n  22 [size=\"35383296\", alpha=\"0.16\", expect_size=\"17691648\"] \n  22 -> 32 [size =\"17691648\"]\n  22 -> 36 [size =\"17691648\"]\n  22 -> 41 [size =\"17691648\"]\n  23 [size=\"59361280\", alpha=\"0.05\", expect_size=\"29680640\"] \n  23 -> 31 [size =\"29680640\"]\n  23 -> 36 [size =\"29680640\"]\n  23 -> 38 [size =\"29680640\"]\n  23 -> 43 [size =\"29680640\"]\n  24 [size=\"100986880\", alpha=\"0.12\", expect_size=\"50493440\"] \n  24 -> 36 [size =\"50493440\"]\n  24 -> 37 [size =\"50493440\"]\n  24 -> 43 [size =\"50493440\"]\n  25 [size=\"67356672\", alpha=\"0.12\", expect_size=\"33678336\"] \n  25 -> 35 [size =\"33678336\"]\n  25 -> 38 [size =\"33678336\"]\n  25 -> 43 [size =\"33678336\"]\n  26 [size=\"60770304\", alpha=\"0.14\", expect_size=\"30385152\"] \n  26 -> 31 [size =\"30385152\"]\n  26 -> 37 [size =\"30385152\"]\n  26 -> 40 [size =\"30385152\"]\n  26 -> 43 [size =\"30385152\"]\n  27 [size=\"52824064\", alpha=\"0.03\", expect_size=\"26412032\"] \n  27 -> 32 [size =\"26412032\"]\n  27 -> 36 [size =\"26412032\"]\n  27 -> 38 [size =\"26412032\"]\n  27 -> 40 [size =\"26412032\"]\n  27 -> 42 [size =\"26412032\"]\n  27 -> 43 [size =\"26412032\"]\n  28 [size=\"96600064\", alpha=\"0.19\", expect_size=\"48300032\"] \n  28 -> 34 [size =\"48300032\"]\n  28 -> 36 [size =\"48300032\"]\n  29 [size=\"60301312\", alpha=\"0.19\", expect_size=\"30150656\"] \n  29 -> 36 [size =\"30150656\"]\n  29 -> 37 [size =\"30150656\"]\n  29 -> 43 [size =\"30150656\"]\n  30 [size=\"19752960\", alpha=\"0.00\", expect_size=\"9876480\"] \n  30 -> 33 [size =\"9876480\"]\n  30 -> 36 [size =\"9876480\"]\n  30 -> 37 [size =\"9876480\"]\n  30 -> 38 [size =\"9876480\"]\n  31 [size=\"61003776\", alpha=\"0.08\", expect_size=\"30501888\"] \n  32 [size=\"71577600\", alpha=\"0.18\", expect_size=\"35788800\"] \n  33 [size=\"50638848\", alpha=\"0.14\", expect_size=\"25319424\"] \n  33 -> 45 [size =\"25319424\"]\n  34 [size=\"75380736\", alpha=\"0.10\", expect_size=\"37690368\"] \n  34 -> 45 [size =\"37690368\"]\n  35 [size=\"37875712\", alpha=\"0.02\", expect_size=\"18937856\"] \n  35 -> 45 [size =\"18937856\"]\n  36 [size=\"92780544\", alpha=\"0.09\", expect_size=\"46390272\"] \n  37 [size=\"64485376\", alpha=\"0.20\", expect_size=\"32242688\"] \n  37 -> 45 [size =\"32242688\"]\n  38 [size=\"78176256\", alpha=\"0.19\", expect_size=\"39088128\"] \n  38 -> 45 [size =\"39088128\"]\n  39 [size=\"75804672\", alpha=\"0.05\", expect_size=\"37902336\"] \n  40 [size=\"72521728\", alpha=\"0.17\", expect_size=\"36260864\"] \n  41 [size=\"73476096\", alpha=\"0.20\", expect_size=\"36738048\"] \n  41 -> 44 [size =\"36738048\"]\n  41 -> 45 [size =\"36738048\"]\n  42 [size=\"16230400\", alpha=\"0.08\", expect_size=\"8115200\"] \n  43 [size=\"99452928\", alpha=\"0.07\", expect_size=\"49726464\"] \n  43 -> 44 [size =\"49726464\"]\n  44 [size=\"70201344\", alpha=\"0.05\", expect_size=\"35100672\"] \n  45 [size=\"23994368\", alpha=\"0.16\", expect_size=\"11997184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66549760\", alpha=\"0.07\", expect_size=\"19964928\"] \n  1 -> 2 [size =\"19964928\"]\n  2 [size=\"36628480\", alpha=\"0.16\", expect_size=\"10988544\"] \n  2 -> 3 [size =\"10988544\"]\n  3 [size=\"134748160\", alpha=\"0.10\", expect_size=\"40424448\"] \n  3 -> 4 [size =\"40424448\"]\n  4 [size=\"21889707\", alpha=\"0.17\", expect_size=\"6566912\"] \n  4 -> 5 [size =\"6566912\"]\n  5 [size=\"31563093\", alpha=\"0.04\", expect_size=\"9468928\"] \n  5 -> 6 [size =\"9468928\"]\n  6 [size=\"42734933\", alpha=\"0.02\", expect_size=\"12820480\"] \n  6 -> 7 [size =\"12820480\"]\n  7 [size=\"169574400\", alpha=\"0.20\", expect_size=\"50872320\"] \n  7 -> 8 [size =\"50872320\"]\n  8 [size=\"166355627\", alpha=\"0.17\", expect_size=\"49906688\"] \n  8 -> 9 [size =\"49906688\"]\n  9 [size=\"96658773\", alpha=\"0.01\", expect_size=\"28997632\"] \n  9 -> 10 [size =\"28997632\"]\n  10 [size=\"157873493\", alpha=\"0.15\", expect_size=\"47362048\"] \n  10 -> 11 [size =\"47362048\"]\n  11 [size=\"133256533\", alpha=\"0.13\", expect_size=\"39976960\"] \n  11 -> 12 [size =\"39976960\"]\n  12 [size=\"29255680\", alpha=\"0.08\", expect_size=\"8776704\"] \n  12 -> 13 [size =\"8776704\"]\n  13 [size=\"154067627\", alpha=\"0.14\", expect_size=\"46220288\"] \n  13 -> 14 [size =\"46220288\"]\n  14 [size=\"77950293\", alpha=\"0.03\", expect_size=\"23385088\"] \n  14 -> 15 [size =\"23385088\"]\n  15 [size=\"54036480\", alpha=\"0.18\", expect_size=\"16210944\"] \n  15 -> 16 [size =\"16210944\"]\n  16 [size=\"82315947\", alpha=\"0.07\", expect_size=\"24694784\"] \n  16 -> 17 [size =\"24694784\"]\n  17 [size=\"101130240\", alpha=\"0.18\", expect_size=\"30339072\"] \n  17 -> 18 [size =\"30339072\"]\n  18 [size=\"98051413\", alpha=\"0.08\", expect_size=\"29415424\"] \n  18 -> 19 [size =\"29415424\"]\n  19 [size=\"70717440\", alpha=\"0.00\", expect_size=\"21215232\"] \n  19 -> 20 [size =\"21215232\"]\n  20 [size=\"78848000\", alpha=\"0.15\", expect_size=\"23654400\"] \n  20 -> 21 [size =\"23654400\"]\n  21 [size=\"42199040\", alpha=\"0.17\", expect_size=\"12659712\"] \n  21 -> 22 [size =\"12659712\"]\n  22 [size=\"143687680\", alpha=\"0.00\", expect_size=\"43106304\"] \n  22 -> 23 [size =\"43106304\"]\n  23 [size=\"50800640\", alpha=\"0.19\", expect_size=\"15240192\"] \n  23 -> 24 [size =\"15240192\"]\n  24 [size=\"161908053\", alpha=\"0.18\", expect_size=\"48572416\"] \n  24 -> 25 [size =\"48572416\"]\n  25 [size=\"31006720\", alpha=\"0.19\", expect_size=\"9302016\"] \n  25 -> 26 [size =\"9302016\"]\n  26 [size=\"18616320\", alpha=\"0.03\", expect_size=\"5584896\"] \n  26 -> 27 [size =\"5584896\"]\n  27 [size=\"75704320\", alpha=\"0.07\", expect_size=\"22711296\"] \n  27 -> 28 [size =\"22711296\"]\n  28 [size=\"61279573\", alpha=\"0.09\", expect_size=\"18383872\"] \n  28 -> 29 [size =\"18383872\"]\n  29 [size=\"124672000\", alpha=\"0.01\", expect_size=\"37401600\"] \n  29 -> 30 [size =\"37401600\"]\n  30 [size=\"128040960\", alpha=\"0.12\", expect_size=\"38412288\"] \n  30 -> 31 [size =\"38412288\"]\n  31 [size=\"91934720\", alpha=\"0.17\", expect_size=\"27580416\"] \n  31 -> 32 [size =\"27580416\"]\n  32 [size=\"65433600\", alpha=\"0.03\", expect_size=\"19630080\"] \n  32 -> 33 [size =\"19630080\"]\n  33 [size=\"67689813\", alpha=\"0.07\", expect_size=\"20306944\"] \n  33 -> 34 [size =\"20306944\"]\n  34 [size=\"58685440\", alpha=\"0.19\", expect_size=\"17605632\"] \n  34 -> 35 [size =\"17605632\"]\n  35 [size=\"42844160\", alpha=\"0.15\", expect_size=\"12853248\"] \n  35 -> 36 [size =\"12853248\"]\n  36 [size=\"34249387\", alpha=\"0.20\", expect_size=\"10274816\"] \n  36 -> 37 [size =\"10274816\"]\n  37 [size=\"58166613\", alpha=\"0.15\", expect_size=\"17449984\"] \n  37 -> 38 [size =\"17449984\"]\n  38 [size=\"109407573\", alpha=\"0.00\", expect_size=\"32822272\"] \n  38 -> 39 [size =\"32822272\"]\n  39 [size=\"22278827\", alpha=\"0.12\", expect_size=\"6683648\"] \n  39 -> 40 [size =\"6683648\"]\n  40 [size=\"33249280\", alpha=\"0.12\", expect_size=\"9974784\"] \n  40 -> 41 [size =\"9974784\"]\n  41 [size=\"125436587\", alpha=\"0.15\", expect_size=\"37630976\"] \n  41 -> 42 [size =\"37630976\"]\n  42 [size=\"100048213\", alpha=\"0.14\", expect_size=\"30014464\"] \n  42 -> 43 [size =\"30014464\"]\n  43 [size=\"126153387\", alpha=\"0.18\", expect_size=\"37846016\"] \n  43 -> 44 [size =\"37846016\"]\n  44 [size=\"25767253\", alpha=\"0.20\", expect_size=\"7730176\"] \n  44 -> 45 [size =\"7730176\"]\n  45 [size=\"173940053\", alpha=\"0.03\", expect_size=\"52182016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14772224\", alpha=\"0.04\", expect_size=\"7386112\"] \n  1 -> 16 [size =\"7386112\"]\n  1 -> 17 [size =\"7386112\"]\n  1 -> 20 [size =\"7386112\"]\n  2 [size=\"73967616\", alpha=\"0.11\", expect_size=\"36983808\"] \n  2 -> 15 [size =\"36983808\"]\n  2 -> 16 [size =\"36983808\"]\n  2 -> 17 [size =\"36983808\"]\n  2 -> 20 [size =\"36983808\"]\n  2 -> 23 [size =\"36983808\"]\n  3 [size=\"91428864\", alpha=\"0.16\", expect_size=\"45714432\"] \n  3 -> 20 [size =\"45714432\"]\n  3 -> 21 [size =\"45714432\"]\n  3 -> 22 [size =\"45714432\"]\n  3 -> 23 [size =\"45714432\"]\n  4 [size=\"16699392\", alpha=\"0.12\", expect_size=\"8349696\"] \n  4 -> 16 [size =\"8349696\"]\n  4 -> 20 [size =\"8349696\"]\n  4 -> 21 [size =\"8349696\"]\n  4 -> 22 [size =\"8349696\"]\n  5 [size=\"92432384\", alpha=\"0.16\", expect_size=\"46216192\"] \n  5 -> 15 [size =\"46216192\"]\n  5 -> 18 [size =\"46216192\"]\n  5 -> 20 [size =\"46216192\"]\n  5 -> 22 [size =\"46216192\"]\n  5 -> 26 [size =\"46216192\"]\n  6 [size=\"85086208\", alpha=\"0.03\", expect_size=\"42543104\"] \n  6 -> 15 [size =\"42543104\"]\n  6 -> 16 [size =\"42543104\"]\n  6 -> 17 [size =\"42543104\"]\n  6 -> 18 [size =\"42543104\"]\n  6 -> 22 [size =\"42543104\"]\n  6 -> 23 [size =\"42543104\"]\n  6 -> 25 [size =\"42543104\"]\n  7 [size=\"71155712\", alpha=\"0.13\", expect_size=\"35577856\"] \n  7 -> 15 [size =\"35577856\"]\n  7 -> 16 [size =\"35577856\"]\n  7 -> 17 [size =\"35577856\"]\n  7 -> 18 [size =\"35577856\"]\n  7 -> 23 [size =\"35577856\"]\n  8 [size=\"86779904\", alpha=\"0.14\", expect_size=\"43389952\"] \n  8 -> 16 [size =\"43389952\"]\n  8 -> 16 [size =\"43389952\"]\n  8 -> 20 [size =\"43389952\"]\n  8 -> 23 [size =\"43389952\"]\n  9 [size=\"14127104\", alpha=\"0.09\", expect_size=\"7063552\"] \n  9 -> 22 [size =\"7063552\"]\n  10 [size=\"92381184\", alpha=\"0.09\", expect_size=\"46190592\"] \n  10 -> 20 [size =\"46190592\"]\n  10 -> 21 [size =\"46190592\"]\n  10 -> 22 [size =\"46190592\"]\n  10 -> 24 [size =\"46190592\"]\n  11 [size=\"98646016\", alpha=\"0.05\", expect_size=\"49323008\"] \n  11 -> 15 [size =\"49323008\"]\n  11 -> 20 [size =\"49323008\"]\n  11 -> 23 [size =\"49323008\"]\n  11 -> 25 [size =\"49323008\"]\n  11 -> 26 [size =\"49323008\"]\n  12 [size=\"24401920\", alpha=\"0.11\", expect_size=\"12200960\"] \n  12 -> 15 [size =\"12200960\"]\n  12 -> 17 [size =\"12200960\"]\n  12 -> 19 [size =\"12200960\"]\n  12 -> 22 [size =\"12200960\"]\n  12 -> 23 [size =\"12200960\"]\n  12 -> 24 [size =\"12200960\"]\n  13 [size=\"76896256\", alpha=\"0.18\", expect_size=\"38448128\"] \n  13 -> 15 [size =\"38448128\"]\n  13 -> 16 [size =\"38448128\"]\n  14 [size=\"58118144\", alpha=\"0.11\", expect_size=\"29059072\"] \n  14 -> 21 [size =\"29059072\"]\n  14 -> 22 [size =\"29059072\"]\n  15 [size=\"19630080\", alpha=\"0.08\", expect_size=\"9815040\"] \n  15 -> 28 [size =\"9815040\"]\n  15 -> 30 [size =\"9815040\"]\n  15 -> 37 [size =\"9815040\"]\n  15 -> 38 [size =\"9815040\"]\n  16 [size=\"93628416\", alpha=\"0.04\", expect_size=\"46814208\"] \n  16 -> 30 [size =\"46814208\"]\n  16 -> 34 [size =\"46814208\"]\n  17 [size=\"13879296\", alpha=\"0.14\", expect_size=\"6939648\"] \n  17 -> 28 [size =\"6939648\"]\n  17 -> 30 [size =\"6939648\"]\n  17 -> 31 [size =\"6939648\"]\n  17 -> 32 [size =\"6939648\"]\n  17 -> 34 [size =\"6939648\"]\n  17 -> 35 [size =\"6939648\"]\n  18 [size=\"74235904\", alpha=\"0.04\", expect_size=\"37117952\"] \n  18 -> 28 [size =\"37117952\"]\n  18 -> 31 [size =\"37117952\"]\n  18 -> 33 [size =\"37117952\"]\n  18 -> 34 [size =\"37117952\"]\n  18 -> 35 [size =\"37117952\"]\n  19 [size=\"46086144\", alpha=\"0.08\", expect_size=\"23043072\"] \n  19 -> 31 [size =\"23043072\"]\n  19 -> 31 [size =\"23043072\"]\n  19 -> 32 [size =\"23043072\"]\n  19 -> 33 [size =\"23043072\"]\n  19 -> 35 [size =\"23043072\"]\n  19 -> 36 [size =\"23043072\"]\n  20 [size=\"87781376\", alpha=\"0.14\", expect_size=\"43890688\"] \n  20 -> 27 [size =\"43890688\"]\n  20 -> 30 [size =\"43890688\"]\n  20 -> 31 [size =\"43890688\"]\n  20 -> 33 [size =\"43890688\"]\n  20 -> 34 [size =\"43890688\"]\n  21 [size=\"37376000\", alpha=\"0.01\", expect_size=\"18688000\"] \n  21 -> 28 [size =\"18688000\"]\n  21 -> 29 [size =\"18688000\"]\n  21 -> 34 [size =\"18688000\"]\n  21 -> 37 [size =\"18688000\"]\n  22 [size=\"61650944\", alpha=\"0.00\", expect_size=\"30825472\"] \n  22 -> 29 [size =\"30825472\"]\n  22 -> 30 [size =\"30825472\"]\n  22 -> 31 [size =\"30825472\"]\n  22 -> 33 [size =\"30825472\"]\n  22 -> 34 [size =\"30825472\"]\n  22 -> 36 [size =\"30825472\"]\n  23 [size=\"18898944\", alpha=\"0.18\", expect_size=\"9449472\"] \n  23 -> 30 [size =\"9449472\"]\n  23 -> 33 [size =\"9449472\"]\n  23 -> 36 [size =\"9449472\"]\n  23 -> 38 [size =\"9449472\"]\n  24 [size=\"102254592\", alpha=\"0.16\", expect_size=\"51127296\"] \n  24 -> 27 [size =\"51127296\"]\n  24 -> 30 [size =\"51127296\"]\n  24 -> 38 [size =\"51127296\"]\n  25 [size=\"60180480\", alpha=\"0.12\", expect_size=\"30090240\"] \n  25 -> 28 [size =\"30090240\"]\n  25 -> 32 [size =\"30090240\"]\n  25 -> 37 [size =\"30090240\"]\n  25 -> 38 [size =\"30090240\"]\n  26 [size=\"97933312\", alpha=\"0.03\", expect_size=\"48966656\"] \n  26 -> 31 [size =\"48966656\"]\n  26 -> 32 [size =\"48966656\"]\n  26 -> 34 [size =\"48966656\"]\n  26 -> 36 [size =\"48966656\"]\n  26 -> 37 [size =\"48966656\"]\n  27 [size=\"20332544\", alpha=\"0.08\", expect_size=\"10166272\"] \n  27 -> 40 [size =\"10166272\"]\n  27 -> 42 [size =\"10166272\"]\n  27 -> 43 [size =\"10166272\"]\n  28 [size=\"87648256\", alpha=\"0.09\", expect_size=\"43824128\"] \n  28 -> 41 [size =\"43824128\"]\n  29 [size=\"12859392\", alpha=\"0.10\", expect_size=\"6429696\"] \n  29 -> 41 [size =\"6429696\"]\n  29 -> 42 [size =\"6429696\"]\n  30 [size=\"52701184\", alpha=\"0.09\", expect_size=\"26350592\"] \n  31 [size=\"24561664\", alpha=\"0.06\", expect_size=\"12280832\"] \n  31 -> 39 [size =\"12280832\"]\n  31 -> 40 [size =\"12280832\"]\n  31 -> 43 [size =\"12280832\"]\n  32 [size=\"27101184\", alpha=\"0.07\", expect_size=\"13550592\"] \n  32 -> 39 [size =\"13550592\"]\n  32 -> 41 [size =\"13550592\"]\n  32 -> 42 [size =\"13550592\"]\n  33 [size=\"29427712\", alpha=\"0.01\", expect_size=\"14713856\"] \n  33 -> 40 [size =\"14713856\"]\n  33 -> 41 [size =\"14713856\"]\n  33 -> 42 [size =\"14713856\"]\n  33 -> 43 [size =\"14713856\"]\n  34 [size=\"18118656\", alpha=\"0.06\", expect_size=\"9059328\"] \n  34 -> 39 [size =\"9059328\"]\n  34 -> 40 [size =\"9059328\"]\n  34 -> 42 [size =\"9059328\"]\n  34 -> 43 [size =\"9059328\"]\n  35 [size=\"93757440\", alpha=\"0.12\", expect_size=\"46878720\"] \n  35 -> 39 [size =\"46878720\"]\n  35 -> 42 [size =\"46878720\"]\n  35 -> 43 [size =\"46878720\"]\n  36 [size=\"55177216\", alpha=\"0.16\", expect_size=\"27588608\"] \n  36 -> 39 [size =\"27588608\"]\n  36 -> 40 [size =\"27588608\"]\n  36 -> 41 [size =\"27588608\"]\n  36 -> 42 [size =\"27588608\"]\n  36 -> 44 [size =\"27588608\"]\n  37 [size=\"71350272\", alpha=\"0.01\", expect_size=\"35675136\"] \n  37 -> 39 [size =\"35675136\"]\n  37 -> 40 [size =\"35675136\"]\n  37 -> 43 [size =\"35675136\"]\n  37 -> 44 [size =\"35675136\"]\n  37 -> 45 [size =\"35675136\"]\n  38 [size=\"14202880\", alpha=\"0.19\", expect_size=\"7101440\"] \n  38 -> 39 [size =\"7101440\"]\n  38 -> 40 [size =\"7101440\"]\n  38 -> 41 [size =\"7101440\"]\n  38 -> 43 [size =\"7101440\"]\n  38 -> 44 [size =\"7101440\"]\n  39 [size=\"54401024\", alpha=\"0.05\", expect_size=\"27200512\"] \n  40 [size=\"101216256\", alpha=\"0.08\", expect_size=\"50608128\"] \n  41 [size=\"47800320\", alpha=\"0.15\", expect_size=\"23900160\"] \n  42 [size=\"76687360\", alpha=\"0.14\", expect_size=\"38343680\"] \n  43 [size=\"13049856\", alpha=\"0.15\", expect_size=\"6524928\"] \n  44 [size=\"17672192\", alpha=\"0.15\", expect_size=\"8836096\"] \n  45 [size=\"43812864\", alpha=\"0.06\", expect_size=\"21906432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120652800\", alpha=\"0.19\", expect_size=\"48261120\"] \n  1 -> 17 [size =\"48261120\"]\n  1 -> 22 [size =\"48261120\"]\n  1 -> 23 [size =\"48261120\"]\n  2 [size=\"102819840\", alpha=\"0.14\", expect_size=\"41127936\"] \n  2 -> 15 [size =\"41127936\"]\n  2 -> 20 [size =\"41127936\"]\n  2 -> 23 [size =\"41127936\"]\n  2 -> 25 [size =\"41127936\"]\n  3 [size=\"116193280\", alpha=\"0.02\", expect_size=\"46477312\"] \n  3 -> 13 [size =\"46477312\"]\n  3 -> 14 [size =\"46477312\"]\n  3 -> 15 [size =\"46477312\"]\n  4 [size=\"32683520\", alpha=\"0.10\", expect_size=\"13073408\"] \n  4 -> 15 [size =\"13073408\"]\n  4 -> 18 [size =\"13073408\"]\n  4 -> 22 [size =\"13073408\"]\n  4 -> 24 [size =\"13073408\"]\n  4 -> 25 [size =\"13073408\"]\n  5 [size=\"39918080\", alpha=\"0.03\", expect_size=\"15967232\"] \n  5 -> 20 [size =\"15967232\"]\n  5 -> 21 [size =\"15967232\"]\n  5 -> 24 [size =\"15967232\"]\n  5 -> 25 [size =\"15967232\"]\n  6 [size=\"25953280\", alpha=\"0.15\", expect_size=\"10381312\"] \n  6 -> 13 [size =\"10381312\"]\n  6 -> 16 [size =\"10381312\"]\n  6 -> 22 [size =\"10381312\"]\n  7 [size=\"77045760\", alpha=\"0.12\", expect_size=\"30818304\"] \n  7 -> 13 [size =\"30818304\"]\n  7 -> 15 [size =\"30818304\"]\n  7 -> 18 [size =\"30818304\"]\n  7 -> 20 [size =\"30818304\"]\n  7 -> 22 [size =\"30818304\"]\n  7 -> 24 [size =\"30818304\"]\n  8 [size=\"102650880\", alpha=\"0.02\", expect_size=\"41060352\"] \n  8 -> 13 [size =\"41060352\"]\n  8 -> 15 [size =\"41060352\"]\n  8 -> 20 [size =\"41060352\"]\n  8 -> 22 [size =\"41060352\"]\n  9 [size=\"97315840\", alpha=\"0.13\", expect_size=\"38926336\"] \n  9 -> 15 [size =\"38926336\"]\n  9 -> 17 [size =\"38926336\"]\n  10 [size=\"102474240\", alpha=\"0.06\", expect_size=\"40989696\"] \n  10 -> 16 [size =\"40989696\"]\n  10 -> 17 [size =\"40989696\"]\n  10 -> 19 [size =\"40989696\"]\n  10 -> 23 [size =\"40989696\"]\n  10 -> 24 [size =\"40989696\"]\n  11 [size=\"67545600\", alpha=\"0.10\", expect_size=\"27018240\"] \n  11 -> 13 [size =\"27018240\"]\n  11 -> 15 [size =\"27018240\"]\n  12 [size=\"59535360\", alpha=\"0.08\", expect_size=\"23814144\"] \n  12 -> 13 [size =\"23814144\"]\n  12 -> 23 [size =\"23814144\"]\n  13 [size=\"26713600\", alpha=\"0.02\", expect_size=\"10685440\"] \n  13 -> 27 [size =\"10685440\"]\n  13 -> 38 [size =\"10685440\"]\n  14 [size=\"38407680\", alpha=\"0.05\", expect_size=\"15363072\"] \n  14 -> 27 [size =\"15363072\"]\n  14 -> 31 [size =\"15363072\"]\n  14 -> 32 [size =\"15363072\"]\n  14 -> 34 [size =\"15363072\"]\n  14 -> 35 [size =\"15363072\"]\n  14 -> 38 [size =\"15363072\"]\n  15 [size=\"98109440\", alpha=\"0.12\", expect_size=\"39243776\"] \n  15 -> 28 [size =\"39243776\"]\n  15 -> 29 [size =\"39243776\"]\n  15 -> 30 [size =\"39243776\"]\n  15 -> 32 [size =\"39243776\"]\n  15 -> 33 [size =\"39243776\"]\n  15 -> 34 [size =\"39243776\"]\n  15 -> 35 [size =\"39243776\"]\n  15 -> 38 [size =\"39243776\"]\n  16 [size=\"117504000\", alpha=\"0.10\", expect_size=\"47001600\"] \n  16 -> 26 [size =\"47001600\"]\n  16 -> 30 [size =\"47001600\"]\n  16 -> 31 [size =\"47001600\"]\n  16 -> 38 [size =\"47001600\"]\n  17 [size=\"88747520\", alpha=\"0.16\", expect_size=\"35499008\"] \n  17 -> 28 [size =\"35499008\"]\n  17 -> 32 [size =\"35499008\"]\n  17 -> 37 [size =\"35499008\"]\n  18 [size=\"40430080\", alpha=\"0.14\", expect_size=\"16172032\"] \n  18 -> 27 [size =\"16172032\"]\n  18 -> 28 [size =\"16172032\"]\n  18 -> 31 [size =\"16172032\"]\n  18 -> 32 [size =\"16172032\"]\n  18 -> 34 [size =\"16172032\"]\n  18 -> 37 [size =\"16172032\"]\n  18 -> 38 [size =\"16172032\"]\n  19 [size=\"50222080\", alpha=\"0.01\", expect_size=\"20088832\"] \n  19 -> 27 [size =\"20088832\"]\n  19 -> 32 [size =\"20088832\"]\n  19 -> 34 [size =\"20088832\"]\n  19 -> 36 [size =\"20088832\"]\n  19 -> 37 [size =\"20088832\"]\n  20 [size=\"128378880\", alpha=\"0.15\", expect_size=\"51351552\"] \n  20 -> 31 [size =\"51351552\"]\n  20 -> 36 [size =\"51351552\"]\n  20 -> 37 [size =\"51351552\"]\n  21 [size=\"44625920\", alpha=\"0.08\", expect_size=\"17850368\"] \n  21 -> 27 [size =\"17850368\"]\n  21 -> 30 [size =\"17850368\"]\n  21 -> 36 [size =\"17850368\"]\n  21 -> 37 [size =\"17850368\"]\n  21 -> 38 [size =\"17850368\"]\n  22 [size=\"106060800\", alpha=\"0.16\", expect_size=\"42424320\"] \n  22 -> 30 [size =\"42424320\"]\n  22 -> 36 [size =\"42424320\"]\n  22 -> 36 [size =\"42424320\"]\n  22 -> 37 [size =\"42424320\"]\n  23 [size=\"37529600\", alpha=\"0.01\", expect_size=\"15011840\"] \n  23 -> 26 [size =\"15011840\"]\n  23 -> 27 [size =\"15011840\"]\n  23 -> 30 [size =\"15011840\"]\n  23 -> 31 [size =\"15011840\"]\n  23 -> 37 [size =\"15011840\"]\n  24 [size=\"46525440\", alpha=\"0.10\", expect_size=\"18610176\"] \n  24 -> 27 [size =\"18610176\"]\n  24 -> 28 [size =\"18610176\"]\n  24 -> 38 [size =\"18610176\"]\n  24 -> 39 [size =\"18610176\"]\n  25 [size=\"73310720\", alpha=\"0.03\", expect_size=\"29324288\"] \n  25 -> 32 [size =\"29324288\"]\n  25 -> 36 [size =\"29324288\"]\n  26 [size=\"25850880\", alpha=\"0.19\", expect_size=\"10340352\"] \n  26 -> 44 [size =\"10340352\"]\n  26 -> 45 [size =\"10340352\"]\n  27 [size=\"86673920\", alpha=\"0.05\", expect_size=\"34669568\"] \n  27 -> 45 [size =\"34669568\"]\n  27 -> 45 [size =\"34669568\"]\n  28 [size=\"61696000\", alpha=\"0.06\", expect_size=\"24678400\"] \n  28 -> 45 [size =\"24678400\"]\n  29 [size=\"25817600\", alpha=\"0.02\", expect_size=\"10327040\"] \n  29 -> 44 [size =\"10327040\"]\n  29 -> 45 [size =\"10327040\"]\n  30 [size=\"29465600\", alpha=\"0.13\", expect_size=\"11786240\"] \n  30 -> 40 [size =\"11786240\"]\n  31 [size=\"118609920\", alpha=\"0.13\", expect_size=\"47443968\"] \n  31 -> 41 [size =\"47443968\"]\n  32 [size=\"46904320\", alpha=\"0.01\", expect_size=\"18761728\"] \n  32 -> 41 [size =\"18761728\"]\n  32 -> 42 [size =\"18761728\"]\n  33 [size=\"22026240\", alpha=\"0.12\", expect_size=\"8810496\"] \n  33 -> 42 [size =\"8810496\"]\n  34 [size=\"29096960\", alpha=\"0.06\", expect_size=\"11638784\"] \n  34 -> 40 [size =\"11638784\"]\n  34 -> 44 [size =\"11638784\"]\n  34 -> 45 [size =\"11638784\"]\n  35 [size=\"87695360\", alpha=\"0.15\", expect_size=\"35078144\"] \n  35 -> 43 [size =\"35078144\"]\n  35 -> 45 [size =\"35078144\"]\n  36 [size=\"106667520\", alpha=\"0.02\", expect_size=\"42667008\"] \n  36 -> 45 [size =\"42667008\"]\n  37 [size=\"98859520\", alpha=\"0.01\", expect_size=\"39543808\"] \n  37 -> 45 [size =\"39543808\"]\n  38 [size=\"128212480\", alpha=\"0.06\", expect_size=\"51284992\"] \n  38 -> 44 [size =\"51284992\"]\n  39 [size=\"48345600\", alpha=\"0.16\", expect_size=\"19338240\"] \n  39 -> 43 [size =\"19338240\"]\n  40 [size=\"61429760\", alpha=\"0.06\", expect_size=\"24571904\"] \n  41 [size=\"20902400\", alpha=\"0.02\", expect_size=\"8360960\"] \n  42 [size=\"99174400\", alpha=\"0.13\", expect_size=\"39669760\"] \n  43 [size=\"106739200\", alpha=\"0.08\", expect_size=\"42695680\"] \n  44 [size=\"57208320\", alpha=\"0.09\", expect_size=\"22883328\"] \n  45 [size=\"93844480\", alpha=\"0.20\", expect_size=\"37537792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45703680\", alpha=\"0.03\", expect_size=\"18281472\"] \n  1 -> 15 [size =\"18281472\"]\n  1 -> 16 [size =\"18281472\"]\n  1 -> 18 [size =\"18281472\"]\n  1 -> 19 [size =\"18281472\"]\n  1 -> 24 [size =\"18281472\"]\n  1 -> 25 [size =\"18281472\"]\n  2 [size=\"112962560\", alpha=\"0.08\", expect_size=\"45185024\"] \n  2 -> 15 [size =\"45185024\"]\n  2 -> 17 [size =\"45185024\"]\n  2 -> 18 [size =\"45185024\"]\n  2 -> 20 [size =\"45185024\"]\n  2 -> 23 [size =\"45185024\"]\n  2 -> 25 [size =\"45185024\"]\n  2 -> 27 [size =\"45185024\"]\n  3 [size=\"117864960\", alpha=\"0.08\", expect_size=\"47145984\"] \n  3 -> 16 [size =\"47145984\"]\n  3 -> 17 [size =\"47145984\"]\n  3 -> 18 [size =\"47145984\"]\n  3 -> 19 [size =\"47145984\"]\n  3 -> 21 [size =\"47145984\"]\n  3 -> 22 [size =\"47145984\"]\n  3 -> 23 [size =\"47145984\"]\n  4 [size=\"44244480\", alpha=\"0.08\", expect_size=\"17697792\"] \n  4 -> 15 [size =\"17697792\"]\n  4 -> 17 [size =\"17697792\"]\n  4 -> 21 [size =\"17697792\"]\n  4 -> 22 [size =\"17697792\"]\n  4 -> 23 [size =\"17697792\"]\n  5 [size=\"82007040\", alpha=\"0.11\", expect_size=\"32802816\"] \n  5 -> 16 [size =\"32802816\"]\n  5 -> 19 [size =\"32802816\"]\n  5 -> 21 [size =\"32802816\"]\n  5 -> 22 [size =\"32802816\"]\n  5 -> 23 [size =\"32802816\"]\n  6 [size=\"63270400\", alpha=\"0.07\", expect_size=\"25308160\"] \n  6 -> 15 [size =\"25308160\"]\n  6 -> 16 [size =\"25308160\"]\n  6 -> 17 [size =\"25308160\"]\n  6 -> 19 [size =\"25308160\"]\n  6 -> 21 [size =\"25308160\"]\n  6 -> 23 [size =\"25308160\"]\n  6 -> 25 [size =\"25308160\"]\n  7 [size=\"64924160\", alpha=\"0.11\", expect_size=\"25969664\"] \n  7 -> 15 [size =\"25969664\"]\n  7 -> 16 [size =\"25969664\"]\n  7 -> 21 [size =\"25969664\"]\n  7 -> 23 [size =\"25969664\"]\n  7 -> 24 [size =\"25969664\"]\n  7 -> 25 [size =\"25969664\"]\n  8 [size=\"96645120\", alpha=\"0.09\", expect_size=\"38658048\"] \n  8 -> 15 [size =\"38658048\"]\n  8 -> 19 [size =\"38658048\"]\n  8 -> 20 [size =\"38658048\"]\n  8 -> 21 [size =\"38658048\"]\n  8 -> 23 [size =\"38658048\"]\n  8 -> 24 [size =\"38658048\"]\n  8 -> 25 [size =\"38658048\"]\n  9 [size=\"58895360\", alpha=\"0.08\", expect_size=\"23558144\"] \n  9 -> 19 [size =\"23558144\"]\n  9 -> 19 [size =\"23558144\"]\n  9 -> 24 [size =\"23558144\"]\n  9 -> 25 [size =\"23558144\"]\n  10 [size=\"30474240\", alpha=\"0.12\", expect_size=\"12189696\"] \n  10 -> 15 [size =\"12189696\"]\n  10 -> 19 [size =\"12189696\"]\n  10 -> 25 [size =\"12189696\"]\n  10 -> 25 [size =\"12189696\"]\n  10 -> 26 [size =\"12189696\"]\n  11 [size=\"70888960\", alpha=\"0.06\", expect_size=\"28355584\"] \n  11 -> 20 [size =\"28355584\"]\n  11 -> 23 [size =\"28355584\"]\n  11 -> 27 [size =\"28355584\"]\n  12 [size=\"88872960\", alpha=\"0.16\", expect_size=\"35549184\"] \n  12 -> 15 [size =\"35549184\"]\n  12 -> 16 [size =\"35549184\"]\n  12 -> 18 [size =\"35549184\"]\n  12 -> 19 [size =\"35549184\"]\n  12 -> 20 [size =\"35549184\"]\n  12 -> 21 [size =\"35549184\"]\n  12 -> 27 [size =\"35549184\"]\n  13 [size=\"16834560\", alpha=\"0.06\", expect_size=\"6733824\"] \n  13 -> 18 [size =\"6733824\"]\n  13 -> 21 [size =\"6733824\"]\n  13 -> 26 [size =\"6733824\"]\n  13 -> 27 [size =\"6733824\"]\n  14 [size=\"63992320\", alpha=\"0.08\", expect_size=\"25596928\"] \n  14 -> 18 [size =\"25596928\"]\n  14 -> 21 [size =\"25596928\"]\n  14 -> 25 [size =\"25596928\"]\n  15 [size=\"113914880\", alpha=\"0.16\", expect_size=\"45565952\"] \n  15 -> 29 [size =\"45565952\"]\n  15 -> 30 [size =\"45565952\"]\n  15 -> 33 [size =\"45565952\"]\n  15 -> 34 [size =\"45565952\"]\n  15 -> 35 [size =\"45565952\"]\n  16 [size=\"60654080\", alpha=\"0.07\", expect_size=\"24261632\"] \n  16 -> 30 [size =\"24261632\"]\n  16 -> 35 [size =\"24261632\"]\n  16 -> 36 [size =\"24261632\"]\n  16 -> 39 [size =\"24261632\"]\n  17 [size=\"103367680\", alpha=\"0.07\", expect_size=\"41347072\"] \n  17 -> 28 [size =\"41347072\"]\n  17 -> 30 [size =\"41347072\"]\n  17 -> 32 [size =\"41347072\"]\n  17 -> 33 [size =\"41347072\"]\n  17 -> 36 [size =\"41347072\"]\n  17 -> 37 [size =\"41347072\"]\n  17 -> 40 [size =\"41347072\"]\n  18 [size=\"49889280\", alpha=\"0.14\", expect_size=\"19955712\"] \n  18 -> 30 [size =\"19955712\"]\n  18 -> 30 [size =\"19955712\"]\n  18 -> 33 [size =\"19955712\"]\n  18 -> 38 [size =\"19955712\"]\n  18 -> 40 [size =\"19955712\"]\n  19 [size=\"105392640\", alpha=\"0.03\", expect_size=\"42157056\"] \n  19 -> 30 [size =\"42157056\"]\n  19 -> 33 [size =\"42157056\"]\n  19 -> 37 [size =\"42157056\"]\n  19 -> 40 [size =\"42157056\"]\n  20 [size=\"33474560\", alpha=\"0.16\", expect_size=\"13389824\"] \n  20 -> 28 [size =\"13389824\"]\n  20 -> 30 [size =\"13389824\"]\n  20 -> 33 [size =\"13389824\"]\n  20 -> 34 [size =\"13389824\"]\n  20 -> 36 [size =\"13389824\"]\n  20 -> 40 [size =\"13389824\"]\n  21 [size=\"106846720\", alpha=\"0.15\", expect_size=\"42738688\"] \n  21 -> 29 [size =\"42738688\"]\n  21 -> 31 [size =\"42738688\"]\n  21 -> 35 [size =\"42738688\"]\n  22 [size=\"23441920\", alpha=\"0.11\", expect_size=\"9376768\"] \n  22 -> 28 [size =\"9376768\"]\n  22 -> 33 [size =\"9376768\"]\n  22 -> 37 [size =\"9376768\"]\n  22 -> 39 [size =\"9376768\"]\n  22 -> 40 [size =\"9376768\"]\n  23 [size=\"117839360\", alpha=\"0.04\", expect_size=\"47135744\"] \n  23 -> 28 [size =\"47135744\"]\n  23 -> 32 [size =\"47135744\"]\n  23 -> 33 [size =\"47135744\"]\n  23 -> 34 [size =\"47135744\"]\n  23 -> 38 [size =\"47135744\"]\n  24 [size=\"32744960\", alpha=\"0.03\", expect_size=\"13097984\"] \n  24 -> 28 [size =\"13097984\"]\n  24 -> 32 [size =\"13097984\"]\n  24 -> 33 [size =\"13097984\"]\n  24 -> 34 [size =\"13097984\"]\n  24 -> 35 [size =\"13097984\"]\n  24 -> 36 [size =\"13097984\"]\n  24 -> 39 [size =\"13097984\"]\n  25 [size=\"81026560\", alpha=\"0.13\", expect_size=\"32410624\"] \n  25 -> 28 [size =\"32410624\"]\n  25 -> 30 [size =\"32410624\"]\n  25 -> 32 [size =\"32410624\"]\n  25 -> 33 [size =\"32410624\"]\n  25 -> 34 [size =\"32410624\"]\n  25 -> 35 [size =\"32410624\"]\n  25 -> 36 [size =\"32410624\"]\n  26 [size=\"57907200\", alpha=\"0.12\", expect_size=\"23162880\"] \n  26 -> 32 [size =\"23162880\"]\n  26 -> 34 [size =\"23162880\"]\n  27 [size=\"100490240\", alpha=\"0.00\", expect_size=\"40196096\"] \n  27 -> 28 [size =\"40196096\"]\n  27 -> 30 [size =\"40196096\"]\n  27 -> 31 [size =\"40196096\"]\n  27 -> 32 [size =\"40196096\"]\n  27 -> 34 [size =\"40196096\"]\n  28 [size=\"26007040\", alpha=\"0.02\", expect_size=\"10402816\"] \n  28 -> 42 [size =\"10402816\"]\n  28 -> 44 [size =\"10402816\"]\n  29 [size=\"106995200\", alpha=\"0.12\", expect_size=\"42798080\"] \n  29 -> 42 [size =\"42798080\"]\n  29 -> 43 [size =\"42798080\"]\n  29 -> 45 [size =\"42798080\"]\n  30 [size=\"123238400\", alpha=\"0.04\", expect_size=\"49295360\"] \n  30 -> 42 [size =\"49295360\"]\n  30 -> 43 [size =\"49295360\"]\n  30 -> 44 [size =\"49295360\"]\n  31 [size=\"99860480\", alpha=\"0.07\", expect_size=\"39944192\"] \n  31 -> 41 [size =\"39944192\"]\n  31 -> 42 [size =\"39944192\"]\n  31 -> 43 [size =\"39944192\"]\n  32 [size=\"69460480\", alpha=\"0.02\", expect_size=\"27784192\"] \n  32 -> 41 [size =\"27784192\"]\n  32 -> 42 [size =\"27784192\"]\n  32 -> 43 [size =\"27784192\"]\n  32 -> 45 [size =\"27784192\"]\n  33 [size=\"13931520\", alpha=\"0.18\", expect_size=\"5572608\"] \n  33 -> 41 [size =\"5572608\"]\n  33 -> 42 [size =\"5572608\"]\n  33 -> 43 [size =\"5572608\"]\n  33 -> 45 [size =\"5572608\"]\n  34 [size=\"38031360\", alpha=\"0.02\", expect_size=\"15212544\"] \n  34 -> 41 [size =\"15212544\"]\n  34 -> 43 [size =\"15212544\"]\n  35 [size=\"54932480\", alpha=\"0.04\", expect_size=\"21972992\"] \n  35 -> 41 [size =\"21972992\"]\n  35 -> 43 [size =\"21972992\"]\n  36 [size=\"15572480\", alpha=\"0.14\", expect_size=\"6228992\"] \n  36 -> 41 [size =\"6228992\"]\n  37 [size=\"88079360\", alpha=\"0.19\", expect_size=\"35231744\"] \n  37 -> 41 [size =\"35231744\"]\n  37 -> 42 [size =\"35231744\"]\n  38 [size=\"88345600\", alpha=\"0.10\", expect_size=\"35338240\"] \n  38 -> 41 [size =\"35338240\"]\n  38 -> 43 [size =\"35338240\"]\n  38 -> 44 [size =\"35338240\"]\n  39 [size=\"99906560\", alpha=\"0.17\", expect_size=\"39962624\"] \n  39 -> 42 [size =\"39962624\"]\n  39 -> 44 [size =\"39962624\"]\n  39 -> 45 [size =\"39962624\"]\n  40 [size=\"50588160\", alpha=\"0.07\", expect_size=\"20235264\"] \n  40 -> 42 [size =\"20235264\"]\n  40 -> 43 [size =\"20235264\"]\n  40 -> 44 [size =\"20235264\"]\n  41 [size=\"75724800\", alpha=\"0.13\", expect_size=\"30289920\"] \n  42 [size=\"115130880\", alpha=\"0.01\", expect_size=\"46052352\"] \n  43 [size=\"126609920\", alpha=\"0.07\", expect_size=\"50643968\"] \n  44 [size=\"113889280\", alpha=\"0.16\", expect_size=\"45555712\"] \n  45 [size=\"127856640\", alpha=\"0.17\", expect_size=\"51142656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111708160\", alpha=\"0.03\", expect_size=\"44683264\"] \n  1 -> 45 [size =\"44683264\"]\n  2 [size=\"85245440\", alpha=\"0.09\", expect_size=\"34098176\"] \n  3 [size=\"26928640\", alpha=\"0.18\", expect_size=\"10771456\"] \n  4 [size=\"107619840\", alpha=\"0.07\", expect_size=\"43047936\"] \n  5 [size=\"26432000\", alpha=\"0.09\", expect_size=\"10572800\"] \n  5 -> 45 [size =\"10572800\"]\n  6 [size=\"62952960\", alpha=\"0.05\", expect_size=\"25181184\"] \n  7 [size=\"36840960\", alpha=\"0.17\", expect_size=\"14736384\"] \n  8 [size=\"101542400\", alpha=\"0.13\", expect_size=\"40616960\"] \n  9 [size=\"41139200\", alpha=\"0.11\", expect_size=\"16455680\"] \n  9 -> 45 [size =\"16455680\"]\n  10 [size=\"81456640\", alpha=\"0.11\", expect_size=\"32582656\"] \n  10 -> 45 [size =\"32582656\"]\n  11 [size=\"86126080\", alpha=\"0.01\", expect_size=\"34450432\"] \n  11 -> 45 [size =\"34450432\"]\n  12 [size=\"103214080\", alpha=\"0.08\", expect_size=\"41285632\"] \n  13 [size=\"36800000\", alpha=\"0.09\", expect_size=\"14720000\"] \n  14 [size=\"25876480\", alpha=\"0.13\", expect_size=\"10350592\"] \n  15 [size=\"69258240\", alpha=\"0.20\", expect_size=\"27703296\"] \n  16 [size=\"122032640\", alpha=\"0.18\", expect_size=\"48813056\"] \n  16 -> 45 [size =\"48813056\"]\n  17 [size=\"33400320\", alpha=\"0.08\", expect_size=\"13360128\"] \n  18 [size=\"15019520\", alpha=\"0.18\", expect_size=\"6007808\"] \n  18 -> 45 [size =\"6007808\"]\n  19 [size=\"93514240\", alpha=\"0.15\", expect_size=\"37405696\"] \n  19 -> 45 [size =\"37405696\"]\n  20 [size=\"42897920\", alpha=\"0.17\", expect_size=\"17159168\"] \n  20 -> 45 [size =\"17159168\"]\n  21 [size=\"107246080\", alpha=\"0.16\", expect_size=\"42898432\"] \n  21 -> 45 [size =\"42898432\"]\n  22 [size=\"110392320\", alpha=\"0.07\", expect_size=\"44156928\"] \n  22 -> 45 [size =\"44156928\"]\n  23 [size=\"39511040\", alpha=\"0.01\", expect_size=\"15804416\"] \n  23 -> 45 [size =\"15804416\"]\n  24 [size=\"93214720\", alpha=\"0.11\", expect_size=\"37285888\"] \n  24 -> 45 [size =\"37285888\"]\n  25 [size=\"52462080\", alpha=\"0.02\", expect_size=\"20984832\"] \n  25 -> 45 [size =\"20984832\"]\n  26 [size=\"51668480\", alpha=\"0.03\", expect_size=\"20667392\"] \n  26 -> 45 [size =\"20667392\"]\n  27 [size=\"42682880\", alpha=\"0.07\", expect_size=\"17073152\"] \n  28 [size=\"88601600\", alpha=\"0.06\", expect_size=\"35440640\"] \n  29 [size=\"75530240\", alpha=\"0.11\", expect_size=\"30212096\"] \n  30 [size=\"45312000\", alpha=\"0.06\", expect_size=\"18124800\"] \n  30 -> 45 [size =\"18124800\"]\n  31 [size=\"28613120\", alpha=\"0.14\", expect_size=\"11445248\"] \n  31 -> 45 [size =\"11445248\"]\n  32 [size=\"124032000\", alpha=\"0.18\", expect_size=\"49612800\"] \n  33 [size=\"49812480\", alpha=\"0.05\", expect_size=\"19924992\"] \n  33 -> 45 [size =\"19924992\"]\n  34 [size=\"55710720\", alpha=\"0.14\", expect_size=\"22284288\"] \n  35 [size=\"118272000\", alpha=\"0.14\", expect_size=\"47308800\"] \n  35 -> 45 [size =\"47308800\"]\n  36 [size=\"14894080\", alpha=\"0.11\", expect_size=\"5957632\"] \n  36 -> 45 [size =\"5957632\"]\n  37 [size=\"31354880\", alpha=\"0.12\", expect_size=\"12541952\"] \n  38 [size=\"73423360\", alpha=\"0.13\", expect_size=\"29369344\"] \n  39 [size=\"111572480\", alpha=\"0.08\", expect_size=\"44628992\"] \n  40 [size=\"55872000\", alpha=\"0.08\", expect_size=\"22348800\"] \n  41 [size=\"92636160\", alpha=\"0.04\", expect_size=\"37054464\"] \n  42 [size=\"58954240\", alpha=\"0.16\", expect_size=\"23581696\"] \n  42 -> 45 [size =\"23581696\"]\n  43 [size=\"44938240\", alpha=\"0.13\", expect_size=\"17975296\"] \n  44 [size=\"74280960\", alpha=\"0.04\", expect_size=\"29712384\"] \n  45 [size=\"41789440\", alpha=\"0.01\", expect_size=\"16715776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72921600\", alpha=\"0.12\", expect_size=\"29168640\"] \n  1 -> 18 [size =\"29168640\"]\n  1 -> 26 [size =\"29168640\"]\n  1 -> 28 [size =\"29168640\"]\n  2 [size=\"74467840\", alpha=\"0.04\", expect_size=\"29787136\"] \n  2 -> 16 [size =\"29787136\"]\n  2 -> 28 [size =\"29787136\"]\n  3 [size=\"62440960\", alpha=\"0.10\", expect_size=\"24976384\"] \n  3 -> 19 [size =\"24976384\"]\n  3 -> 21 [size =\"24976384\"]\n  3 -> 23 [size =\"24976384\"]\n  3 -> 24 [size =\"24976384\"]\n  3 -> 28 [size =\"24976384\"]\n  3 -> 29 [size =\"24976384\"]\n  4 [size=\"126563840\", alpha=\"0.15\", expect_size=\"50625536\"] \n  4 -> 17 [size =\"50625536\"]\n  4 -> 23 [size =\"50625536\"]\n  4 -> 24 [size =\"50625536\"]\n  4 -> 24 [size =\"50625536\"]\n  4 -> 26 [size =\"50625536\"]\n  4 -> 27 [size =\"50625536\"]\n  4 -> 28 [size =\"50625536\"]\n  4 -> 29 [size =\"50625536\"]\n  5 [size=\"48424960\", alpha=\"0.16\", expect_size=\"19369984\"] \n  5 -> 19 [size =\"19369984\"]\n  5 -> 25 [size =\"19369984\"]\n  5 -> 27 [size =\"19369984\"]\n  6 [size=\"20096000\", alpha=\"0.01\", expect_size=\"8038400\"] \n  6 -> 20 [size =\"8038400\"]\n  6 -> 21 [size =\"8038400\"]\n  6 -> 25 [size =\"8038400\"]\n  6 -> 26 [size =\"8038400\"]\n  6 -> 27 [size =\"8038400\"]\n  6 -> 28 [size =\"8038400\"]\n  7 [size=\"40762880\", alpha=\"0.09\", expect_size=\"16305152\"] \n  7 -> 19 [size =\"16305152\"]\n  7 -> 23 [size =\"16305152\"]\n  7 -> 25 [size =\"16305152\"]\n  7 -> 26 [size =\"16305152\"]\n  7 -> 27 [size =\"16305152\"]\n  7 -> 29 [size =\"16305152\"]\n  8 [size=\"25607680\", alpha=\"0.15\", expect_size=\"10243072\"] \n  8 -> 24 [size =\"10243072\"]\n  8 -> 25 [size =\"10243072\"]\n  8 -> 25 [size =\"10243072\"]\n  8 -> 26 [size =\"10243072\"]\n  8 -> 27 [size =\"10243072\"]\n  8 -> 28 [size =\"10243072\"]\n  9 [size=\"99783680\", alpha=\"0.06\", expect_size=\"39913472\"] \n  9 -> 15 [size =\"39913472\"]\n  9 -> 18 [size =\"39913472\"]\n  9 -> 22 [size =\"39913472\"]\n  9 -> 25 [size =\"39913472\"]\n  9 -> 26 [size =\"39913472\"]\n  9 -> 27 [size =\"39913472\"]\n  10 [size=\"62919680\", alpha=\"0.15\", expect_size=\"25167872\"] \n  10 -> 16 [size =\"25167872\"]\n  10 -> 21 [size =\"25167872\"]\n  10 -> 23 [size =\"25167872\"]\n  10 -> 25 [size =\"25167872\"]\n  10 -> 26 [size =\"25167872\"]\n  10 -> 28 [size =\"25167872\"]\n  10 -> 29 [size =\"25167872\"]\n  11 [size=\"76707840\", alpha=\"0.06\", expect_size=\"30683136\"] \n  11 -> 16 [size =\"30683136\"]\n  11 -> 25 [size =\"30683136\"]\n  11 -> 26 [size =\"30683136\"]\n  11 -> 29 [size =\"30683136\"]\n  12 [size=\"28236800\", alpha=\"0.01\", expect_size=\"11294720\"] \n  12 -> 15 [size =\"11294720\"]\n  12 -> 22 [size =\"11294720\"]\n  12 -> 23 [size =\"11294720\"]\n  12 -> 25 [size =\"11294720\"]\n  13 [size=\"54077440\", alpha=\"0.13\", expect_size=\"21630976\"] \n  13 -> 17 [size =\"21630976\"]\n  13 -> 20 [size =\"21630976\"]\n  13 -> 24 [size =\"21630976\"]\n  13 -> 25 [size =\"21630976\"]\n  13 -> 28 [size =\"21630976\"]\n  14 [size=\"112378880\", alpha=\"0.05\", expect_size=\"44951552\"] \n  14 -> 17 [size =\"44951552\"]\n  14 -> 23 [size =\"44951552\"]\n  14 -> 27 [size =\"44951552\"]\n  14 -> 28 [size =\"44951552\"]\n  14 -> 28 [size =\"44951552\"]\n  15 [size=\"82752000\", alpha=\"0.03\", expect_size=\"33100800\"] \n  15 -> 31 [size =\"33100800\"]\n  15 -> 34 [size =\"33100800\"]\n  15 -> 35 [size =\"33100800\"]\n  15 -> 37 [size =\"33100800\"]\n  15 -> 41 [size =\"33100800\"]\n  16 [size=\"59875840\", alpha=\"0.00\", expect_size=\"23950336\"] \n  16 -> 31 [size =\"23950336\"]\n  16 -> 32 [size =\"23950336\"]\n  16 -> 37 [size =\"23950336\"]\n  16 -> 38 [size =\"23950336\"]\n  17 [size=\"67054080\", alpha=\"0.09\", expect_size=\"26821632\"] \n  17 -> 30 [size =\"26821632\"]\n  17 -> 34 [size =\"26821632\"]\n  18 [size=\"119360000\", alpha=\"0.02\", expect_size=\"47744000\"] \n  18 -> 31 [size =\"47744000\"]\n  18 -> 33 [size =\"47744000\"]\n  18 -> 34 [size =\"47744000\"]\n  18 -> 35 [size =\"47744000\"]\n  18 -> 37 [size =\"47744000\"]\n  18 -> 38 [size =\"47744000\"]\n  18 -> 40 [size =\"47744000\"]\n  18 -> 41 [size =\"47744000\"]\n  19 [size=\"87127040\", alpha=\"0.16\", expect_size=\"34850816\"] \n  19 -> 31 [size =\"34850816\"]\n  19 -> 32 [size =\"34850816\"]\n  19 -> 33 [size =\"34850816\"]\n  19 -> 34 [size =\"34850816\"]\n  19 -> 35 [size =\"34850816\"]\n  19 -> 37 [size =\"34850816\"]\n  19 -> 39 [size =\"34850816\"]\n  19 -> 41 [size =\"34850816\"]\n  20 [size=\"125319680\", alpha=\"0.07\", expect_size=\"50127872\"] \n  20 -> 32 [size =\"50127872\"]\n  20 -> 37 [size =\"50127872\"]\n  20 -> 38 [size =\"50127872\"]\n  20 -> 41 [size =\"50127872\"]\n  21 [size=\"97013760\", alpha=\"0.08\", expect_size=\"38805504\"] \n  21 -> 30 [size =\"38805504\"]\n  21 -> 37 [size =\"38805504\"]\n  21 -> 41 [size =\"38805504\"]\n  21 -> 41 [size =\"38805504\"]\n  22 [size=\"15306240\", alpha=\"0.19\", expect_size=\"6122496\"] \n  22 -> 30 [size =\"6122496\"]\n  22 -> 32 [size =\"6122496\"]\n  22 -> 33 [size =\"6122496\"]\n  22 -> 34 [size =\"6122496\"]\n  22 -> 36 [size =\"6122496\"]\n  22 -> 41 [size =\"6122496\"]\n  23 [size=\"18659840\", alpha=\"0.19\", expect_size=\"7463936\"] \n  23 -> 33 [size =\"7463936\"]\n  23 -> 35 [size =\"7463936\"]\n  23 -> 37 [size =\"7463936\"]\n  23 -> 41 [size =\"7463936\"]\n  24 [size=\"94730240\", alpha=\"0.18\", expect_size=\"37892096\"] \n  24 -> 33 [size =\"37892096\"]\n  25 [size=\"121943040\", alpha=\"0.03\", expect_size=\"48777216\"] \n  25 -> 32 [size =\"48777216\"]\n  25 -> 34 [size =\"48777216\"]\n  25 -> 38 [size =\"48777216\"]\n  26 [size=\"23959040\", alpha=\"0.09\", expect_size=\"9583616\"] \n  26 -> 34 [size =\"9583616\"]\n  26 -> 34 [size =\"9583616\"]\n  26 -> 37 [size =\"9583616\"]\n  26 -> 41 [size =\"9583616\"]\n  27 [size=\"24005120\", alpha=\"0.20\", expect_size=\"9602048\"] \n  27 -> 32 [size =\"9602048\"]\n  27 -> 35 [size =\"9602048\"]\n  27 -> 37 [size =\"9602048\"]\n  27 -> 42 [size =\"9602048\"]\n  28 [size=\"79974400\", alpha=\"0.13\", expect_size=\"31989760\"] \n  28 -> 40 [size =\"31989760\"]\n  29 [size=\"92974080\", alpha=\"0.00\", expect_size=\"37189632\"] \n  29 -> 37 [size =\"37189632\"]\n  29 -> 38 [size =\"37189632\"]\n  29 -> 42 [size =\"37189632\"]\n  30 [size=\"68403200\", alpha=\"0.17\", expect_size=\"27361280\"] \n  30 -> 43 [size =\"27361280\"]\n  30 -> 45 [size =\"27361280\"]\n  31 [size=\"107801600\", alpha=\"0.03\", expect_size=\"43120640\"] \n  31 -> 43 [size =\"43120640\"]\n  31 -> 45 [size =\"43120640\"]\n  32 [size=\"35059200\", alpha=\"0.13\", expect_size=\"14023680\"] \n  32 -> 44 [size =\"14023680\"]\n  32 -> 45 [size =\"14023680\"]\n  33 [size=\"29498880\", alpha=\"0.09\", expect_size=\"11799552\"] \n  33 -> 45 [size =\"11799552\"]\n  34 [size=\"22494720\", alpha=\"0.03\", expect_size=\"8997888\"] \n  34 -> 45 [size =\"8997888\"]\n  35 [size=\"127503360\", alpha=\"0.08\", expect_size=\"51001344\"] \n  35 -> 43 [size =\"51001344\"]\n  36 [size=\"25948160\", alpha=\"0.01\", expect_size=\"10379264\"] \n  36 -> 43 [size =\"10379264\"]\n  37 [size=\"78714880\", alpha=\"0.03\", expect_size=\"31485952\"] \n  37 -> 43 [size =\"31485952\"]\n  38 [size=\"77529600\", alpha=\"0.03\", expect_size=\"31011840\"] \n  38 -> 43 [size =\"31011840\"]\n  39 [size=\"34892800\", alpha=\"0.16\", expect_size=\"13957120\"] \n  39 -> 44 [size =\"13957120\"]\n  40 [size=\"37483520\", alpha=\"0.07\", expect_size=\"14993408\"] \n  40 -> 43 [size =\"14993408\"]\n  40 -> 45 [size =\"14993408\"]\n  41 [size=\"17146880\", alpha=\"0.13\", expect_size=\"6858752\"] \n  41 -> 43 [size =\"6858752\"]\n  42 [size=\"37488640\", alpha=\"0.19\", expect_size=\"14995456\"] \n  42 -> 43 [size =\"14995456\"]\n  42 -> 45 [size =\"14995456\"]\n  43 [size=\"113638400\", alpha=\"0.07\", expect_size=\"45455360\"] \n  44 [size=\"50639360\", alpha=\"0.08\", expect_size=\"20255744\"] \n  45 [size=\"65728000\", alpha=\"0.07\", expect_size=\"26291200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52828160\", alpha=\"0.14\", expect_size=\"26414080\"] \n  1 -> 2 [size =\"26414080\"]\n  2 [size=\"97308672\", alpha=\"0.01\", expect_size=\"48654336\"] \n  2 -> 3 [size =\"48654336\"]\n  3 [size=\"95496192\", alpha=\"0.04\", expect_size=\"47748096\"] \n  3 -> 4 [size =\"47748096\"]\n  4 [size=\"22118400\", alpha=\"0.06\", expect_size=\"11059200\"] \n  4 -> 5 [size =\"11059200\"]\n  5 [size=\"75231232\", alpha=\"0.14\", expect_size=\"37615616\"] \n  5 -> 6 [size =\"37615616\"]\n  6 [size=\"58091520\", alpha=\"0.01\", expect_size=\"29045760\"] \n  6 -> 7 [size =\"29045760\"]\n  7 [size=\"11597824\", alpha=\"0.13\", expect_size=\"5798912\"] \n  7 -> 8 [size =\"5798912\"]\n  8 [size=\"47919104\", alpha=\"0.01\", expect_size=\"23959552\"] \n  8 -> 9 [size =\"23959552\"]\n  9 [size=\"94922752\", alpha=\"0.17\", expect_size=\"47461376\"] \n  9 -> 10 [size =\"47461376\"]\n  10 [size=\"41959424\", alpha=\"0.19\", expect_size=\"20979712\"] \n  10 -> 11 [size =\"20979712\"]\n  11 [size=\"89942016\", alpha=\"0.05\", expect_size=\"44971008\"] \n  11 -> 12 [size =\"44971008\"]\n  12 [size=\"59387904\", alpha=\"0.14\", expect_size=\"29693952\"] \n  12 -> 13 [size =\"29693952\"]\n  13 [size=\"65560576\", alpha=\"0.17\", expect_size=\"32780288\"] \n  13 -> 14 [size =\"32780288\"]\n  14 [size=\"85655552\", alpha=\"0.08\", expect_size=\"42827776\"] \n  14 -> 15 [size =\"42827776\"]\n  15 [size=\"18317312\", alpha=\"0.02\", expect_size=\"9158656\"] \n  15 -> 16 [size =\"9158656\"]\n  16 [size=\"85970944\", alpha=\"0.07\", expect_size=\"42985472\"] \n  16 -> 17 [size =\"42985472\"]\n  17 [size=\"91015168\", alpha=\"0.04\", expect_size=\"45507584\"] \n  17 -> 18 [size =\"45507584\"]\n  18 [size=\"57921536\", alpha=\"0.03\", expect_size=\"28960768\"] \n  18 -> 19 [size =\"28960768\"]\n  19 [size=\"63483904\", alpha=\"0.01\", expect_size=\"31741952\"] \n  19 -> 20 [size =\"31741952\"]\n  20 [size=\"50268160\", alpha=\"0.06\", expect_size=\"25134080\"] \n  20 -> 21 [size =\"25134080\"]\n  21 [size=\"46612480\", alpha=\"0.20\", expect_size=\"23306240\"] \n  21 -> 22 [size =\"23306240\"]\n  22 [size=\"68769792\", alpha=\"0.13\", expect_size=\"34384896\"] \n  22 -> 23 [size =\"34384896\"]\n  23 [size=\"40988672\", alpha=\"0.03\", expect_size=\"20494336\"] \n  23 -> 24 [size =\"20494336\"]\n  24 [size=\"26972160\", alpha=\"0.16\", expect_size=\"13486080\"] \n  24 -> 25 [size =\"13486080\"]\n  25 [size=\"65343488\", alpha=\"0.03\", expect_size=\"32671744\"] \n  25 -> 26 [size =\"32671744\"]\n  26 [size=\"73580544\", alpha=\"0.00\", expect_size=\"36790272\"] \n  26 -> 27 [size =\"36790272\"]\n  27 [size=\"10637312\", alpha=\"0.17\", expect_size=\"5318656\"] \n  27 -> 28 [size =\"5318656\"]\n  28 [size=\"28270592\", alpha=\"0.02\", expect_size=\"14135296\"] \n  28 -> 29 [size =\"14135296\"]\n  29 [size=\"41453568\", alpha=\"0.05\", expect_size=\"20726784\"] \n  29 -> 30 [size =\"20726784\"]\n  30 [size=\"43882496\", alpha=\"0.15\", expect_size=\"21941248\"] \n  30 -> 31 [size =\"21941248\"]\n  31 [size=\"71069696\", alpha=\"0.01\", expect_size=\"35534848\"] \n  31 -> 32 [size =\"35534848\"]\n  32 [size=\"70985728\", alpha=\"0.18\", expect_size=\"35492864\"] \n  32 -> 33 [size =\"35492864\"]\n  33 [size=\"36081664\", alpha=\"0.07\", expect_size=\"18040832\"] \n  33 -> 34 [size =\"18040832\"]\n  34 [size=\"51372032\", alpha=\"0.11\", expect_size=\"25686016\"] \n  34 -> 35 [size =\"25686016\"]\n  35 [size=\"34117632\", alpha=\"0.17\", expect_size=\"17058816\"] \n  35 -> 36 [size =\"17058816\"]\n  36 [size=\"49063936\", alpha=\"0.19\", expect_size=\"24531968\"] \n  36 -> 37 [size =\"24531968\"]\n  37 [size=\"49448960\", alpha=\"0.19\", expect_size=\"24724480\"] \n  37 -> 38 [size =\"24724480\"]\n  38 [size=\"36384768\", alpha=\"0.08\", expect_size=\"18192384\"] \n  38 -> 39 [size =\"18192384\"]\n  39 [size=\"47304704\", alpha=\"0.08\", expect_size=\"23652352\"] \n  39 -> 40 [size =\"23652352\"]\n  40 [size=\"72275968\", alpha=\"0.17\", expect_size=\"36137984\"] \n  40 -> 41 [size =\"36137984\"]\n  41 [size=\"48402432\", alpha=\"0.14\", expect_size=\"24201216\"] \n  41 -> 42 [size =\"24201216\"]\n  42 [size=\"55142400\", alpha=\"0.03\", expect_size=\"27571200\"] \n  42 -> 43 [size =\"27571200\"]\n  43 [size=\"47026176\", alpha=\"0.18\", expect_size=\"23513088\"] \n  43 -> 44 [size =\"23513088\"]\n  44 [size=\"79130624\", alpha=\"0.17\", expect_size=\"39565312\"] \n  44 -> 45 [size =\"39565312\"]\n  45 [size=\"37881856\", alpha=\"0.07\", expect_size=\"18940928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101327360\", alpha=\"0.11\", expect_size=\"40530944\"] \n  1 -> 15 [size =\"40530944\"]\n  1 -> 17 [size =\"40530944\"]\n  2 [size=\"96378880\", alpha=\"0.01\", expect_size=\"38551552\"] \n  2 -> 15 [size =\"38551552\"]\n  2 -> 16 [size =\"38551552\"]\n  2 -> 17 [size =\"38551552\"]\n  2 -> 22 [size =\"38551552\"]\n  2 -> 23 [size =\"38551552\"]\n  2 -> 24 [size =\"38551552\"]\n  3 [size=\"126691840\", alpha=\"0.12\", expect_size=\"50676736\"] \n  3 -> 23 [size =\"50676736\"]\n  4 [size=\"33996800\", alpha=\"0.02\", expect_size=\"13598720\"] \n  4 -> 15 [size =\"13598720\"]\n  4 -> 19 [size =\"13598720\"]\n  5 [size=\"76300800\", alpha=\"0.02\", expect_size=\"30520320\"] \n  5 -> 14 [size =\"30520320\"]\n  5 -> 16 [size =\"30520320\"]\n  5 -> 19 [size =\"30520320\"]\n  5 -> 21 [size =\"30520320\"]\n  6 [size=\"38881280\", alpha=\"0.06\", expect_size=\"15552512\"] \n  6 -> 14 [size =\"15552512\"]\n  6 -> 16 [size =\"15552512\"]\n  6 -> 17 [size =\"15552512\"]\n  6 -> 18 [size =\"15552512\"]\n  6 -> 21 [size =\"15552512\"]\n  7 [size=\"79162880\", alpha=\"0.18\", expect_size=\"31665152\"] \n  7 -> 14 [size =\"31665152\"]\n  7 -> 18 [size =\"31665152\"]\n  7 -> 24 [size =\"31665152\"]\n  8 [size=\"17858560\", alpha=\"0.01\", expect_size=\"7143424\"] \n  8 -> 14 [size =\"7143424\"]\n  8 -> 18 [size =\"7143424\"]\n  8 -> 20 [size =\"7143424\"]\n  8 -> 22 [size =\"7143424\"]\n  8 -> 23 [size =\"7143424\"]\n  9 [size=\"86860800\", alpha=\"0.06\", expect_size=\"34744320\"] \n  9 -> 14 [size =\"34744320\"]\n  10 [size=\"101580800\", alpha=\"0.09\", expect_size=\"40632320\"] \n  10 -> 17 [size =\"40632320\"]\n  11 [size=\"31004160\", alpha=\"0.08\", expect_size=\"12401664\"] \n  11 -> 13 [size =\"12401664\"]\n  11 -> 14 [size =\"12401664\"]\n  11 -> 17 [size =\"12401664\"]\n  11 -> 18 [size =\"12401664\"]\n  11 -> 23 [size =\"12401664\"]\n  12 [size=\"94515200\", alpha=\"0.07\", expect_size=\"37806080\"] \n  12 -> 17 [size =\"37806080\"]\n  12 -> 24 [size =\"37806080\"]\n  13 [size=\"102041600\", alpha=\"0.12\", expect_size=\"40816640\"] \n  13 -> 25 [size =\"40816640\"]\n  13 -> 28 [size =\"40816640\"]\n  13 -> 29 [size =\"40816640\"]\n  13 -> 32 [size =\"40816640\"]\n  13 -> 34 [size =\"40816640\"]\n  13 -> 37 [size =\"40816640\"]\n  14 [size=\"55639040\", alpha=\"0.13\", expect_size=\"22255616\"] \n  14 -> 25 [size =\"22255616\"]\n  14 -> 27 [size =\"22255616\"]\n  14 -> 29 [size =\"22255616\"]\n  14 -> 30 [size =\"22255616\"]\n  14 -> 31 [size =\"22255616\"]\n  14 -> 32 [size =\"22255616\"]\n  14 -> 36 [size =\"22255616\"]\n  14 -> 37 [size =\"22255616\"]\n  15 [size=\"66941440\", alpha=\"0.03\", expect_size=\"26776576\"] \n  15 -> 25 [size =\"26776576\"]\n  15 -> 29 [size =\"26776576\"]\n  15 -> 33 [size =\"26776576\"]\n  15 -> 37 [size =\"26776576\"]\n  16 [size=\"77442560\", alpha=\"0.06\", expect_size=\"30977024\"] \n  16 -> 31 [size =\"30977024\"]\n  16 -> 33 [size =\"30977024\"]\n  16 -> 34 [size =\"30977024\"]\n  16 -> 35 [size =\"30977024\"]\n  16 -> 37 [size =\"30977024\"]\n  17 [size=\"111623680\", alpha=\"0.06\", expect_size=\"44649472\"] \n  17 -> 25 [size =\"44649472\"]\n  17 -> 27 [size =\"44649472\"]\n  17 -> 32 [size =\"44649472\"]\n  17 -> 33 [size =\"44649472\"]\n  17 -> 34 [size =\"44649472\"]\n  18 [size=\"96990720\", alpha=\"0.05\", expect_size=\"38796288\"] \n  18 -> 27 [size =\"38796288\"]\n  18 -> 28 [size =\"38796288\"]\n  18 -> 33 [size =\"38796288\"]\n  18 -> 34 [size =\"38796288\"]\n  18 -> 36 [size =\"38796288\"]\n  19 [size=\"99996160\", alpha=\"0.14\", expect_size=\"39998464\"] \n  19 -> 27 [size =\"39998464\"]\n  19 -> 29 [size =\"39998464\"]\n  19 -> 36 [size =\"39998464\"]\n  19 -> 37 [size =\"39998464\"]\n  20 [size=\"18306560\", alpha=\"0.04\", expect_size=\"7322624\"] \n  20 -> 26 [size =\"7322624\"]\n  20 -> 27 [size =\"7322624\"]\n  20 -> 29 [size =\"7322624\"]\n  20 -> 35 [size =\"7322624\"]\n  21 [size=\"72312320\", alpha=\"0.08\", expect_size=\"28924928\"] \n  21 -> 27 [size =\"28924928\"]\n  21 -> 30 [size =\"28924928\"]\n  21 -> 35 [size =\"28924928\"]\n  21 -> 35 [size =\"28924928\"]\n  22 [size=\"118609920\", alpha=\"0.07\", expect_size=\"47443968\"] \n  22 -> 26 [size =\"47443968\"]\n  22 -> 30 [size =\"47443968\"]\n  22 -> 34 [size =\"47443968\"]\n  22 -> 36 [size =\"47443968\"]\n  23 [size=\"40796160\", alpha=\"0.05\", expect_size=\"16318464\"] \n  23 -> 28 [size =\"16318464\"]\n  23 -> 32 [size =\"16318464\"]\n  23 -> 34 [size =\"16318464\"]\n  24 [size=\"112788480\", alpha=\"0.06\", expect_size=\"45115392\"] \n  24 -> 28 [size =\"45115392\"]\n  24 -> 33 [size =\"45115392\"]\n  24 -> 35 [size =\"45115392\"]\n  24 -> 36 [size =\"45115392\"]\n  24 -> 37 [size =\"45115392\"]\n  25 [size=\"73822720\", alpha=\"0.18\", expect_size=\"29529088\"] \n  25 -> 40 [size =\"29529088\"]\n  25 -> 43 [size =\"29529088\"]\n  25 -> 45 [size =\"29529088\"]\n  26 [size=\"94351360\", alpha=\"0.14\", expect_size=\"37740544\"] \n  26 -> 40 [size =\"37740544\"]\n  26 -> 42 [size =\"37740544\"]\n  26 -> 43 [size =\"37740544\"]\n  26 -> 45 [size =\"37740544\"]\n  27 [size=\"130324480\", alpha=\"0.02\", expect_size=\"52129792\"] \n  27 -> 39 [size =\"52129792\"]\n  27 -> 45 [size =\"52129792\"]\n  28 [size=\"44928000\", alpha=\"0.10\", expect_size=\"17971200\"] \n  28 -> 39 [size =\"17971200\"]\n  28 -> 42 [size =\"17971200\"]\n  28 -> 44 [size =\"17971200\"]\n  28 -> 45 [size =\"17971200\"]\n  29 [size=\"76328960\", alpha=\"0.11\", expect_size=\"30531584\"] \n  29 -> 42 [size =\"30531584\"]\n  30 [size=\"43481600\", alpha=\"0.07\", expect_size=\"17392640\"] \n  30 -> 39 [size =\"17392640\"]\n  30 -> 43 [size =\"17392640\"]\n  31 [size=\"66347520\", alpha=\"0.06\", expect_size=\"26539008\"] \n  31 -> 40 [size =\"26539008\"]\n  31 -> 45 [size =\"26539008\"]\n  32 [size=\"115187200\", alpha=\"0.19\", expect_size=\"46074880\"] \n  32 -> 40 [size =\"46074880\"]\n  32 -> 43 [size =\"46074880\"]\n  33 [size=\"37340160\", alpha=\"0.07\", expect_size=\"14936064\"] \n  33 -> 39 [size =\"14936064\"]\n  33 -> 40 [size =\"14936064\"]\n  33 -> 42 [size =\"14936064\"]\n  33 -> 43 [size =\"14936064\"]\n  34 [size=\"64358400\", alpha=\"0.02\", expect_size=\"25743360\"] \n  34 -> 42 [size =\"25743360\"]\n  34 -> 43 [size =\"25743360\"]\n  35 [size=\"99169280\", alpha=\"0.06\", expect_size=\"39667712\"] \n  35 -> 38 [size =\"39667712\"]\n  35 -> 39 [size =\"39667712\"]\n  35 -> 42 [size =\"39667712\"]\n  36 [size=\"86999040\", alpha=\"0.01\", expect_size=\"34799616\"] \n  36 -> 44 [size =\"34799616\"]\n  37 [size=\"53624320\", alpha=\"0.13\", expect_size=\"21449728\"] \n  37 -> 41 [size =\"21449728\"]\n  38 [size=\"65100800\", alpha=\"0.19\", expect_size=\"26040320\"] \n  39 [size=\"126184960\", alpha=\"0.20\", expect_size=\"50473984\"] \n  40 [size=\"74698240\", alpha=\"0.01\", expect_size=\"29879296\"] \n  41 [size=\"117081600\", alpha=\"0.13\", expect_size=\"46832640\"] \n  42 [size=\"35304960\", alpha=\"0.02\", expect_size=\"14121984\"] \n  43 [size=\"28738560\", alpha=\"0.17\", expect_size=\"11495424\"] \n  44 [size=\"68357120\", alpha=\"0.08\", expect_size=\"27342848\"] \n  45 [size=\"78727680\", alpha=\"0.09\", expect_size=\"31491072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44494848\", alpha=\"0.17\", expect_size=\"22247424\"] \n  1 -> 38 [size =\"22247424\"]\n  1 -> 43 [size =\"22247424\"]\n  2 [size=\"23758848\", alpha=\"0.02\", expect_size=\"11879424\"] \n  2 -> 39 [size =\"11879424\"]\n  2 -> 42 [size =\"11879424\"]\n  2 -> 43 [size =\"11879424\"]\n  2 -> 44 [size =\"11879424\"]\n  2 -> 45 [size =\"11879424\"]\n  3 [size=\"102787072\", alpha=\"0.01\", expect_size=\"51393536\"] \n  3 -> 42 [size =\"51393536\"]\n  3 -> 43 [size =\"51393536\"]\n  3 -> 45 [size =\"51393536\"]\n  4 [size=\"96978944\", alpha=\"0.19\", expect_size=\"48489472\"] \n  4 -> 43 [size =\"48489472\"]\n  4 -> 44 [size =\"48489472\"]\n  5 [size=\"52443136\", alpha=\"0.13\", expect_size=\"26221568\"] \n  5 -> 38 [size =\"26221568\"]\n  5 -> 39 [size =\"26221568\"]\n  5 -> 44 [size =\"26221568\"]\n  6 [size=\"39469056\", alpha=\"0.08\", expect_size=\"19734528\"] \n  6 -> 44 [size =\"19734528\"]\n  6 -> 45 [size =\"19734528\"]\n  7 [size=\"58628096\", alpha=\"0.03\", expect_size=\"29314048\"] \n  7 -> 43 [size =\"29314048\"]\n  8 [size=\"77619200\", alpha=\"0.09\", expect_size=\"38809600\"] \n  8 -> 40 [size =\"38809600\"]\n  8 -> 43 [size =\"38809600\"]\n  9 [size=\"16072704\", alpha=\"0.19\", expect_size=\"8036352\"] \n  9 -> 38 [size =\"8036352\"]\n  9 -> 43 [size =\"8036352\"]\n  10 [size=\"18751488\", alpha=\"0.17\", expect_size=\"9375744\"] \n  10 -> 39 [size =\"9375744\"]\n  10 -> 40 [size =\"9375744\"]\n  10 -> 41 [size =\"9375744\"]\n  10 -> 44 [size =\"9375744\"]\n  10 -> 45 [size =\"9375744\"]\n  11 [size=\"48291840\", alpha=\"0.00\", expect_size=\"24145920\"] \n  11 -> 38 [size =\"24145920\"]\n  12 [size=\"31975424\", alpha=\"0.07\", expect_size=\"15987712\"] \n  12 -> 38 [size =\"15987712\"]\n  12 -> 39 [size =\"15987712\"]\n  12 -> 43 [size =\"15987712\"]\n  12 -> 45 [size =\"15987712\"]\n  13 [size=\"40323072\", alpha=\"0.05\", expect_size=\"20161536\"] \n  13 -> 44 [size =\"20161536\"]\n  13 -> 45 [size =\"20161536\"]\n  14 [size=\"45297664\", alpha=\"0.14\", expect_size=\"22648832\"] \n  14 -> 38 [size =\"22648832\"]\n  14 -> 43 [size =\"22648832\"]\n  14 -> 44 [size =\"22648832\"]\n  14 -> 45 [size =\"22648832\"]\n  15 [size=\"40734720\", alpha=\"0.05\", expect_size=\"20367360\"] \n  15 -> 43 [size =\"20367360\"]\n  15 -> 44 [size =\"20367360\"]\n  16 [size=\"99731456\", alpha=\"0.10\", expect_size=\"49865728\"] \n  16 -> 39 [size =\"49865728\"]\n  17 [size=\"42078208\", alpha=\"0.18\", expect_size=\"21039104\"] \n  17 -> 38 [size =\"21039104\"]\n  17 -> 41 [size =\"21039104\"]\n  18 [size=\"56299520\", alpha=\"0.02\", expect_size=\"28149760\"] \n  18 -> 38 [size =\"28149760\"]\n  18 -> 43 [size =\"28149760\"]\n  18 -> 45 [size =\"28149760\"]\n  19 [size=\"96647168\", alpha=\"0.19\", expect_size=\"48323584\"] \n  19 -> 38 [size =\"48323584\"]\n  19 -> 41 [size =\"48323584\"]\n  19 -> 42 [size =\"48323584\"]\n  19 -> 44 [size =\"48323584\"]\n  19 -> 45 [size =\"48323584\"]\n  20 [size=\"91754496\", alpha=\"0.18\", expect_size=\"45877248\"] \n  20 -> 41 [size =\"45877248\"]\n  20 -> 41 [size =\"45877248\"]\n  20 -> 42 [size =\"45877248\"]\n  20 -> 44 [size =\"45877248\"]\n  21 [size=\"76570624\", alpha=\"0.04\", expect_size=\"38285312\"] \n  21 -> 40 [size =\"38285312\"]\n  21 -> 41 [size =\"38285312\"]\n  21 -> 43 [size =\"38285312\"]\n  22 [size=\"78542848\", alpha=\"0.13\", expect_size=\"39271424\"] \n  22 -> 38 [size =\"39271424\"]\n  22 -> 39 [size =\"39271424\"]\n  22 -> 41 [size =\"39271424\"]\n  22 -> 43 [size =\"39271424\"]\n  23 [size=\"16349184\", alpha=\"0.01\", expect_size=\"8174592\"] \n  23 -> 41 [size =\"8174592\"]\n  23 -> 43 [size =\"8174592\"]\n  24 [size=\"37965824\", alpha=\"0.07\", expect_size=\"18982912\"] \n  24 -> 43 [size =\"18982912\"]\n  24 -> 43 [size =\"18982912\"]\n  25 [size=\"104024064\", alpha=\"0.03\", expect_size=\"52012032\"] \n  25 -> 38 [size =\"52012032\"]\n  25 -> 41 [size =\"52012032\"]\n  25 -> 42 [size =\"52012032\"]\n  25 -> 43 [size =\"52012032\"]\n  25 -> 45 [size =\"52012032\"]\n  26 [size=\"35006464\", alpha=\"0.05\", expect_size=\"17503232\"] \n  26 -> 39 [size =\"17503232\"]\n  26 -> 41 [size =\"17503232\"]\n  26 -> 43 [size =\"17503232\"]\n  26 -> 43 [size =\"17503232\"]\n  26 -> 45 [size =\"17503232\"]\n  27 [size=\"80605184\", alpha=\"0.16\", expect_size=\"40302592\"] \n  27 -> 39 [size =\"40302592\"]\n  28 [size=\"70610944\", alpha=\"0.02\", expect_size=\"35305472\"] \n  28 -> 39 [size =\"35305472\"]\n  28 -> 43 [size =\"35305472\"]\n  28 -> 44 [size =\"35305472\"]\n  29 [size=\"78409728\", alpha=\"0.10\", expect_size=\"39204864\"] \n  29 -> 39 [size =\"39204864\"]\n  29 -> 41 [size =\"39204864\"]\n  29 -> 44 [size =\"39204864\"]\n  30 [size=\"75694080\", alpha=\"0.19\", expect_size=\"37847040\"] \n  30 -> 38 [size =\"37847040\"]\n  30 -> 42 [size =\"37847040\"]\n  30 -> 44 [size =\"37847040\"]\n  31 [size=\"66662400\", alpha=\"0.16\", expect_size=\"33331200\"] \n  31 -> 38 [size =\"33331200\"]\n  31 -> 39 [size =\"33331200\"]\n  31 -> 41 [size =\"33331200\"]\n  32 [size=\"85325824\", alpha=\"0.17\", expect_size=\"42662912\"] \n  32 -> 40 [size =\"42662912\"]\n  32 -> 41 [size =\"42662912\"]\n  32 -> 45 [size =\"42662912\"]\n  33 [size=\"50585600\", alpha=\"0.05\", expect_size=\"25292800\"] \n  33 -> 42 [size =\"25292800\"]\n  34 [size=\"54747136\", alpha=\"0.00\", expect_size=\"27373568\"] \n  34 -> 39 [size =\"27373568\"]\n  34 -> 44 [size =\"27373568\"]\n  34 -> 45 [size =\"27373568\"]\n  35 [size=\"89929728\", alpha=\"0.02\", expect_size=\"44964864\"] \n  35 -> 39 [size =\"44964864\"]\n  35 -> 43 [size =\"44964864\"]\n  35 -> 44 [size =\"44964864\"]\n  36 [size=\"103718912\", alpha=\"0.02\", expect_size=\"51859456\"] \n  36 -> 39 [size =\"51859456\"]\n  36 -> 41 [size =\"51859456\"]\n  36 -> 45 [size =\"51859456\"]\n  37 [size=\"30730240\", alpha=\"0.10\", expect_size=\"15365120\"] \n  37 -> 39 [size =\"15365120\"]\n  37 -> 43 [size =\"15365120\"]\n  37 -> 44 [size =\"15365120\"]\n  37 -> 45 [size =\"15365120\"]\n  38 [size=\"13477888\", alpha=\"0.07\", expect_size=\"6738944\"] \n  39 [size=\"24727552\", alpha=\"0.02\", expect_size=\"12363776\"] \n  40 [size=\"70062080\", alpha=\"0.14\", expect_size=\"35031040\"] \n  41 [size=\"63383552\", alpha=\"0.01\", expect_size=\"31691776\"] \n  42 [size=\"42491904\", alpha=\"0.02\", expect_size=\"21245952\"] \n  43 [size=\"28882944\", alpha=\"0.04\", expect_size=\"14441472\"] \n  44 [size=\"52391936\", alpha=\"0.12\", expect_size=\"26195968\"] \n  45 [size=\"53463040\", alpha=\"0.20\", expect_size=\"26731520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162030933\", alpha=\"0.11\", expect_size=\"48609280\"] \n  1 -> 2 [size =\"48609280\"]\n  2 [size=\"168676693\", alpha=\"0.02\", expect_size=\"50603008\"] \n  2 -> 3 [size =\"50603008\"]\n  3 [size=\"56446293\", alpha=\"0.01\", expect_size=\"16933888\"] \n  3 -> 4 [size =\"16933888\"]\n  4 [size=\"91975680\", alpha=\"0.01\", expect_size=\"27592704\"] \n  4 -> 5 [size =\"27592704\"]\n  5 [size=\"80029013\", alpha=\"0.08\", expect_size=\"24008704\"] \n  5 -> 6 [size =\"24008704\"]\n  6 [size=\"174346240\", alpha=\"0.01\", expect_size=\"52303872\"] \n  6 -> 7 [size =\"52303872\"]\n  7 [size=\"87098027\", alpha=\"0.16\", expect_size=\"26129408\"] \n  7 -> 8 [size =\"26129408\"]\n  8 [size=\"18541227\", alpha=\"0.05\", expect_size=\"5562368\"] \n  8 -> 9 [size =\"5562368\"]\n  9 [size=\"75724800\", alpha=\"0.09\", expect_size=\"22717440\"] \n  9 -> 10 [size =\"22717440\"]\n  10 [size=\"52043093\", alpha=\"0.12\", expect_size=\"15612928\"] \n  10 -> 11 [size =\"15612928\"]\n  11 [size=\"151903573\", alpha=\"0.15\", expect_size=\"45571072\"] \n  11 -> 12 [size =\"45571072\"]\n  12 [size=\"79493120\", alpha=\"0.08\", expect_size=\"23847936\"] \n  12 -> 13 [size =\"23847936\"]\n  13 [size=\"93463893\", alpha=\"0.19\", expect_size=\"28039168\"] \n  13 -> 14 [size =\"28039168\"]\n  14 [size=\"103369387\", alpha=\"0.17\", expect_size=\"31010816\"] \n  14 -> 15 [size =\"31010816\"]\n  15 [size=\"114739200\", alpha=\"0.14\", expect_size=\"34421760\"] \n  15 -> 16 [size =\"34421760\"]\n  16 [size=\"19633493\", alpha=\"0.02\", expect_size=\"5890048\"] \n  16 -> 17 [size =\"5890048\"]\n  17 [size=\"29498027\", alpha=\"0.16\", expect_size=\"8849408\"] \n  17 -> 18 [size =\"8849408\"]\n  18 [size=\"151490560\", alpha=\"0.15\", expect_size=\"45447168\"] \n  18 -> 19 [size =\"45447168\"]\n  19 [size=\"34041173\", alpha=\"0.18\", expect_size=\"10212352\"] \n  19 -> 20 [size =\"10212352\"]\n  20 [size=\"107888640\", alpha=\"0.20\", expect_size=\"32366592\"] \n  20 -> 21 [size =\"32366592\"]\n  21 [size=\"45240320\", alpha=\"0.19\", expect_size=\"13572096\"] \n  21 -> 22 [size =\"13572096\"]\n  22 [size=\"164334933\", alpha=\"0.18\", expect_size=\"49300480\"] \n  22 -> 23 [size =\"49300480\"]\n  23 [size=\"69690027\", alpha=\"0.02\", expect_size=\"20907008\"] \n  23 -> 24 [size =\"20907008\"]\n  24 [size=\"61825707\", alpha=\"0.15\", expect_size=\"18547712\"] \n  24 -> 25 [size =\"18547712\"]\n  25 [size=\"38553600\", alpha=\"0.16\", expect_size=\"11566080\"] \n  25 -> 26 [size =\"11566080\"]\n  26 [size=\"146903040\", alpha=\"0.17\", expect_size=\"44070912\"] \n  26 -> 27 [size =\"44070912\"]\n  27 [size=\"160634880\", alpha=\"0.07\", expect_size=\"48190464\"] \n  27 -> 28 [size =\"48190464\"]\n  28 [size=\"130321067\", alpha=\"0.17\", expect_size=\"39096320\"] \n  28 -> 29 [size =\"39096320\"]\n  29 [size=\"87883093\", alpha=\"0.15\", expect_size=\"26364928\"] \n  29 -> 30 [size =\"26364928\"]\n  30 [size=\"75427840\", alpha=\"0.17\", expect_size=\"22628352\"] \n  30 -> 31 [size =\"22628352\"]\n  31 [size=\"72263680\", alpha=\"0.16\", expect_size=\"21679104\"] \n  31 -> 32 [size =\"21679104\"]\n  32 [size=\"65655467\", alpha=\"0.03\", expect_size=\"19696640\"] \n  32 -> 33 [size =\"19696640\"]\n  33 [size=\"49520640\", alpha=\"0.19\", expect_size=\"14856192\"] \n  33 -> 34 [size =\"14856192\"]\n  34 [size=\"62836053\", alpha=\"0.07\", expect_size=\"18850816\"] \n  34 -> 35 [size =\"18850816\"]\n  35 [size=\"22807893\", alpha=\"0.06\", expect_size=\"6842368\"] \n  35 -> 36 [size =\"6842368\"]\n  36 [size=\"149282133\", alpha=\"0.07\", expect_size=\"44784640\"] \n  36 -> 37 [size =\"44784640\"]\n  37 [size=\"127269547\", alpha=\"0.08\", expect_size=\"38180864\"] \n  37 -> 38 [size =\"38180864\"]\n  38 [size=\"26395307\", alpha=\"0.07\", expect_size=\"7918592\"] \n  38 -> 39 [size =\"7918592\"]\n  39 [size=\"162297173\", alpha=\"0.08\", expect_size=\"48689152\"] \n  39 -> 40 [size =\"48689152\"]\n  40 [size=\"121364480\", alpha=\"0.20\", expect_size=\"36409344\"] \n  40 -> 41 [size =\"36409344\"]\n  41 [size=\"95453867\", alpha=\"0.16\", expect_size=\"28636160\"] \n  41 -> 42 [size =\"28636160\"]\n  42 [size=\"61706240\", alpha=\"0.10\", expect_size=\"18511872\"] \n  42 -> 43 [size =\"18511872\"]\n  43 [size=\"82138453\", alpha=\"0.11\", expect_size=\"24641536\"] \n  43 -> 44 [size =\"24641536\"]\n  44 [size=\"75455147\", alpha=\"0.18\", expect_size=\"22636544\"] \n  44 -> 45 [size =\"22636544\"]\n  45 [size=\"127556267\", alpha=\"0.08\", expect_size=\"38266880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117652480\", alpha=\"0.01\", expect_size=\"47060992\"] \n  2 [size=\"59740160\", alpha=\"0.07\", expect_size=\"23896064\"] \n  2 -> 5 [size =\"23896064\"]\n  3 [size=\"129431040\", alpha=\"0.07\", expect_size=\"51772416\"] \n  3 -> 4 [size =\"51772416\"]\n  3 -> 5 [size =\"51772416\"]\n  4 [size=\"75558400\", alpha=\"0.17\", expect_size=\"30223360\"] \n  4 -> 7 [size =\"30223360\"]\n  5 [size=\"24235520\", alpha=\"0.14\", expect_size=\"9694208\"] \n  5 -> 6 [size =\"9694208\"]\n  5 -> 8 [size =\"9694208\"]\n  6 [size=\"46689280\", alpha=\"0.11\", expect_size=\"18675712\"] \n  6 -> 10 [size =\"18675712\"]\n  7 [size=\"45816320\", alpha=\"0.14\", expect_size=\"18326528\"] \n  7 -> 9 [size =\"18326528\"]\n  8 [size=\"94776320\", alpha=\"0.13\", expect_size=\"37910528\"] \n  9 [size=\"62622720\", alpha=\"0.14\", expect_size=\"25049088\"] \n  9 -> 12 [size =\"25049088\"]\n  10 [size=\"116131840\", alpha=\"0.16\", expect_size=\"46452736\"] \n  10 -> 11 [size =\"46452736\"]\n  11 [size=\"102666240\", alpha=\"0.15\", expect_size=\"41066496\"] \n  11 -> 13 [size =\"41066496\"]\n  11 -> 14 [size =\"41066496\"]\n  11 -> 15 [size =\"41066496\"]\n  12 [size=\"106949120\", alpha=\"0.05\", expect_size=\"42779648\"] \n  13 [size=\"28008960\", alpha=\"0.12\", expect_size=\"11203584\"] \n  13 -> 16 [size =\"11203584\"]\n  14 [size=\"69555200\", alpha=\"0.07\", expect_size=\"27822080\"] \n  14 -> 18 [size =\"27822080\"]\n  15 [size=\"49049600\", alpha=\"0.06\", expect_size=\"19619840\"] \n  15 -> 17 [size =\"19619840\"]\n  15 -> 18 [size =\"19619840\"]\n  16 [size=\"13511680\", alpha=\"0.15\", expect_size=\"5404672\"] \n  16 -> 19 [size =\"5404672\"]\n  17 [size=\"76111360\", alpha=\"0.12\", expect_size=\"30444544\"] \n  17 -> 20 [size =\"30444544\"]\n  18 [size=\"42744320\", alpha=\"0.08\", expect_size=\"17097728\"] \n  18 -> 20 [size =\"17097728\"]\n  19 [size=\"119943680\", alpha=\"0.13\", expect_size=\"47977472\"] \n  20 [size=\"84971520\", alpha=\"0.04\", expect_size=\"33988608\"] \n  20 -> 21 [size =\"33988608\"]\n  20 -> 22 [size =\"33988608\"]\n  21 [size=\"60490240\", alpha=\"0.12\", expect_size=\"24196096\"] \n  21 -> 23 [size =\"24196096\"]\n  21 -> 24 [size =\"24196096\"]\n  22 [size=\"30417920\", alpha=\"0.08\", expect_size=\"12167168\"] \n  23 [size=\"58549760\", alpha=\"0.04\", expect_size=\"23419904\"] \n  23 -> 25 [size =\"23419904\"]\n  23 -> 26 [size =\"23419904\"]\n  24 [size=\"130705920\", alpha=\"0.10\", expect_size=\"52282368\"] \n  24 -> 25 [size =\"52282368\"]\n  25 [size=\"56824320\", alpha=\"0.18\", expect_size=\"22729728\"] \n  25 -> 28 [size =\"22729728\"]\n  26 [size=\"93777920\", alpha=\"0.12\", expect_size=\"37511168\"] \n  26 -> 27 [size =\"37511168\"]\n  26 -> 28 [size =\"37511168\"]\n  26 -> 29 [size =\"37511168\"]\n  27 [size=\"63854080\", alpha=\"0.12\", expect_size=\"25541632\"] \n  27 -> 32 [size =\"25541632\"]\n  28 [size=\"13890560\", alpha=\"0.05\", expect_size=\"5556224\"] \n  28 -> 31 [size =\"5556224\"]\n  29 [size=\"63444480\", alpha=\"0.07\", expect_size=\"25377792\"] \n  29 -> 30 [size =\"25377792\"]\n  29 -> 32 [size =\"25377792\"]\n  30 [size=\"23656960\", alpha=\"0.06\", expect_size=\"9462784\"] \n  30 -> 33 [size =\"9462784\"]\n  30 -> 34 [size =\"9462784\"]\n  31 [size=\"45460480\", alpha=\"0.01\", expect_size=\"18184192\"] \n  32 [size=\"115438080\", alpha=\"0.11\", expect_size=\"46175232\"] \n  33 [size=\"44290560\", alpha=\"0.04\", expect_size=\"17716224\"] \n  33 -> 35 [size =\"17716224\"]\n  33 -> 36 [size =\"17716224\"]\n  34 [size=\"66309120\", alpha=\"0.06\", expect_size=\"26523648\"] \n  35 [size=\"125982720\", alpha=\"0.15\", expect_size=\"50393088\"] \n  35 -> 38 [size =\"50393088\"]\n  36 [size=\"116472320\", alpha=\"0.03\", expect_size=\"46588928\"] \n  36 -> 37 [size =\"46588928\"]\n  37 [size=\"71362560\", alpha=\"0.02\", expect_size=\"28545024\"] \n  37 -> 40 [size =\"28545024\"]\n  38 [size=\"23362560\", alpha=\"0.07\", expect_size=\"9345024\"] \n  38 -> 39 [size =\"9345024\"]\n  38 -> 40 [size =\"9345024\"]\n  39 [size=\"54144000\", alpha=\"0.09\", expect_size=\"21657600\"] \n  39 -> 41 [size =\"21657600\"]\n  40 [size=\"95260160\", alpha=\"0.04\", expect_size=\"38104064\"] \n  40 -> 42 [size =\"38104064\"]\n  41 [size=\"13803520\", alpha=\"0.06\", expect_size=\"5521408\"] \n  41 -> 45 [size =\"5521408\"]\n  42 [size=\"17303040\", alpha=\"0.12\", expect_size=\"6921216\"] \n  42 -> 43 [size =\"6921216\"]\n  42 -> 44 [size =\"6921216\"]\n  42 -> 45 [size =\"6921216\"]\n  43 [size=\"81638400\", alpha=\"0.05\", expect_size=\"32655360\"] \n  44 [size=\"103744000\", alpha=\"0.18\", expect_size=\"41497600\"] \n  45 [size=\"22108160\", alpha=\"0.19\", expect_size=\"8843264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114496000\", alpha=\"0.14\", expect_size=\"45798400\"] \n  1 -> 17 [size =\"45798400\"]\n  1 -> 19 [size =\"45798400\"]\n  2 [size=\"70279680\", alpha=\"0.12\", expect_size=\"28111872\"] \n  2 -> 19 [size =\"28111872\"]\n  2 -> 21 [size =\"28111872\"]\n  2 -> 22 [size =\"28111872\"]\n  2 -> 23 [size =\"28111872\"]\n  2 -> 24 [size =\"28111872\"]\n  3 [size=\"16601600\", alpha=\"0.00\", expect_size=\"6640640\"] \n  3 -> 17 [size =\"6640640\"]\n  3 -> 21 [size =\"6640640\"]\n  3 -> 23 [size =\"6640640\"]\n  3 -> 24 [size =\"6640640\"]\n  4 [size=\"71997440\", alpha=\"0.17\", expect_size=\"28798976\"] \n  4 -> 17 [size =\"28798976\"]\n  4 -> 24 [size =\"28798976\"]\n  5 [size=\"29470720\", alpha=\"0.05\", expect_size=\"11788288\"] \n  6 [size=\"37309440\", alpha=\"0.03\", expect_size=\"14923776\"] \n  6 -> 17 [size =\"14923776\"]\n  6 -> 19 [size =\"14923776\"]\n  6 -> 24 [size =\"14923776\"]\n  6 -> 25 [size =\"14923776\"]\n  7 [size=\"106910720\", alpha=\"0.06\", expect_size=\"42764288\"] \n  7 -> 21 [size =\"42764288\"]\n  7 -> 24 [size =\"42764288\"]\n  7 -> 24 [size =\"42764288\"]\n  8 [size=\"123717120\", alpha=\"0.15\", expect_size=\"49486848\"] \n  8 -> 21 [size =\"49486848\"]\n  8 -> 24 [size =\"49486848\"]\n  9 [size=\"96360960\", alpha=\"0.11\", expect_size=\"38544384\"] \n  9 -> 18 [size =\"38544384\"]\n  10 [size=\"70353920\", alpha=\"0.10\", expect_size=\"28141568\"] \n  10 -> 17 [size =\"28141568\"]\n  10 -> 21 [size =\"28141568\"]\n  10 -> 23 [size =\"28141568\"]\n  11 [size=\"50045440\", alpha=\"0.16\", expect_size=\"20018176\"] \n  11 -> 17 [size =\"20018176\"]\n  11 -> 19 [size =\"20018176\"]\n  11 -> 21 [size =\"20018176\"]\n  11 -> 24 [size =\"20018176\"]\n  12 [size=\"15976960\", alpha=\"0.12\", expect_size=\"6390784\"] \n  12 -> 17 [size =\"6390784\"]\n  12 -> 19 [size =\"6390784\"]\n  12 -> 23 [size =\"6390784\"]\n  12 -> 24 [size =\"6390784\"]\n  13 [size=\"84413440\", alpha=\"0.07\", expect_size=\"33765376\"] \n  13 -> 19 [size =\"33765376\"]\n  13 -> 24 [size =\"33765376\"]\n  14 [size=\"87329280\", alpha=\"0.17\", expect_size=\"34931712\"] \n  14 -> 19 [size =\"34931712\"]\n  14 -> 20 [size =\"34931712\"]\n  14 -> 21 [size =\"34931712\"]\n  15 [size=\"71559680\", alpha=\"0.09\", expect_size=\"28623872\"] \n  15 -> 19 [size =\"28623872\"]\n  15 -> 21 [size =\"28623872\"]\n  15 -> 25 [size =\"28623872\"]\n  16 [size=\"102737920\", alpha=\"0.01\", expect_size=\"41095168\"] \n  16 -> 18 [size =\"41095168\"]\n  16 -> 19 [size =\"41095168\"]\n  16 -> 23 [size =\"41095168\"]\n  17 [size=\"118663680\", alpha=\"0.06\", expect_size=\"47465472\"] \n  17 -> 26 [size =\"47465472\"]\n  17 -> 31 [size =\"47465472\"]\n  17 -> 41 [size =\"47465472\"]\n  18 [size=\"33512960\", alpha=\"0.11\", expect_size=\"13405184\"] \n  18 -> 26 [size =\"13405184\"]\n  18 -> 27 [size =\"13405184\"]\n  18 -> 30 [size =\"13405184\"]\n  18 -> 32 [size =\"13405184\"]\n  18 -> 35 [size =\"13405184\"]\n  18 -> 41 [size =\"13405184\"]\n  18 -> 42 [size =\"13405184\"]\n  19 [size=\"119488000\", alpha=\"0.09\", expect_size=\"47795200\"] \n  19 -> 26 [size =\"47795200\"]\n  19 -> 35 [size =\"47795200\"]\n  19 -> 41 [size =\"47795200\"]\n  20 [size=\"65323520\", alpha=\"0.06\", expect_size=\"26129408\"] \n  20 -> 26 [size =\"26129408\"]\n  20 -> 28 [size =\"26129408\"]\n  20 -> 32 [size =\"26129408\"]\n  20 -> 41 [size =\"26129408\"]\n  21 [size=\"126090240\", alpha=\"0.01\", expect_size=\"50436096\"] \n  21 -> 29 [size =\"50436096\"]\n  21 -> 33 [size =\"50436096\"]\n  21 -> 38 [size =\"50436096\"]\n  21 -> 39 [size =\"50436096\"]\n  21 -> 42 [size =\"50436096\"]\n  22 [size=\"100666880\", alpha=\"0.06\", expect_size=\"40266752\"] \n  22 -> 26 [size =\"40266752\"]\n  22 -> 32 [size =\"40266752\"]\n  22 -> 35 [size =\"40266752\"]\n  22 -> 40 [size =\"40266752\"]\n  23 [size=\"50780160\", alpha=\"0.11\", expect_size=\"20312064\"] \n  23 -> 30 [size =\"20312064\"]\n  23 -> 33 [size =\"20312064\"]\n  23 -> 34 [size =\"20312064\"]\n  23 -> 35 [size =\"20312064\"]\n  23 -> 36 [size =\"20312064\"]\n  23 -> 41 [size =\"20312064\"]\n  24 [size=\"90004480\", alpha=\"0.06\", expect_size=\"36001792\"] \n  24 -> 27 [size =\"36001792\"]\n  24 -> 30 [size =\"36001792\"]\n  24 -> 39 [size =\"36001792\"]\n  24 -> 42 [size =\"36001792\"]\n  25 [size=\"73300480\", alpha=\"0.04\", expect_size=\"29320192\"] \n  25 -> 29 [size =\"29320192\"]\n  25 -> 30 [size =\"29320192\"]\n  25 -> 37 [size =\"29320192\"]\n  25 -> 42 [size =\"29320192\"]\n  26 [size=\"128555520\", alpha=\"0.05\", expect_size=\"51422208\"] \n  26 -> 43 [size =\"51422208\"]\n  27 [size=\"17338880\", alpha=\"0.03\", expect_size=\"6935552\"] \n  28 [size=\"50734080\", alpha=\"0.20\", expect_size=\"20293632\"] \n  29 [size=\"117350400\", alpha=\"0.11\", expect_size=\"46940160\"] \n  30 [size=\"51489280\", alpha=\"0.11\", expect_size=\"20595712\"] \n  30 -> 44 [size =\"20595712\"]\n  30 -> 45 [size =\"20595712\"]\n  31 [size=\"89305600\", alpha=\"0.18\", expect_size=\"35722240\"] \n  31 -> 44 [size =\"35722240\"]\n  32 [size=\"96258560\", alpha=\"0.05\", expect_size=\"38503424\"] \n  32 -> 44 [size =\"38503424\"]\n  33 [size=\"129523200\", alpha=\"0.04\", expect_size=\"51809280\"] \n  34 [size=\"74626560\", alpha=\"0.16\", expect_size=\"29850624\"] \n  35 [size=\"108426240\", alpha=\"0.18\", expect_size=\"43370496\"] \n  35 -> 44 [size =\"43370496\"]\n  36 [size=\"129326080\", alpha=\"0.14\", expect_size=\"51730432\"] \n  36 -> 44 [size =\"51730432\"]\n  36 -> 45 [size =\"51730432\"]\n  37 [size=\"43558400\", alpha=\"0.09\", expect_size=\"17423360\"] \n  37 -> 44 [size =\"17423360\"]\n  38 [size=\"62896640\", alpha=\"0.08\", expect_size=\"25158656\"] \n  38 -> 44 [size =\"25158656\"]\n  38 -> 45 [size =\"25158656\"]\n  39 [size=\"62018560\", alpha=\"0.04\", expect_size=\"24807424\"] \n  40 [size=\"124180480\", alpha=\"0.09\", expect_size=\"49672192\"] \n  40 -> 44 [size =\"49672192\"]\n  41 [size=\"70704640\", alpha=\"0.13\", expect_size=\"28281856\"] \n  41 -> 43 [size =\"28281856\"]\n  42 [size=\"56488960\", alpha=\"0.13\", expect_size=\"22595584\"] \n  42 -> 43 [size =\"22595584\"]\n  42 -> 44 [size =\"22595584\"]\n  43 [size=\"84410880\", alpha=\"0.18\", expect_size=\"33764352\"] \n  44 [size=\"107809280\", alpha=\"0.17\", expect_size=\"43123712\"] \n  45 [size=\"82941440\", alpha=\"0.05\", expect_size=\"33176576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14671872\", alpha=\"0.06\", expect_size=\"7335936\"] \n  1 -> 2 [size =\"7335936\"]\n  2 [size=\"27351040\", alpha=\"0.16\", expect_size=\"13675520\"] \n  2 -> 3 [size =\"13675520\"]\n  3 [size=\"96104448\", alpha=\"0.10\", expect_size=\"48052224\"] \n  3 -> 4 [size =\"48052224\"]\n  4 [size=\"92549120\", alpha=\"0.08\", expect_size=\"46274560\"] \n  4 -> 5 [size =\"46274560\"]\n  5 [size=\"16531456\", alpha=\"0.06\", expect_size=\"8265728\"] \n  5 -> 6 [size =\"8265728\"]\n  6 [size=\"16263168\", alpha=\"0.04\", expect_size=\"8131584\"] \n  6 -> 7 [size =\"8131584\"]\n  7 [size=\"94066688\", alpha=\"0.01\", expect_size=\"47033344\"] \n  7 -> 8 [size =\"47033344\"]\n  8 [size=\"51728384\", alpha=\"0.07\", expect_size=\"25864192\"] \n  8 -> 9 [size =\"25864192\"]\n  9 [size=\"16402432\", alpha=\"0.18\", expect_size=\"8201216\"] \n  9 -> 10 [size =\"8201216\"]\n  10 [size=\"32835584\", alpha=\"0.06\", expect_size=\"16417792\"] \n  10 -> 11 [size =\"16417792\"]\n  11 [size=\"11812864\", alpha=\"0.19\", expect_size=\"5906432\"] \n  11 -> 12 [size =\"5906432\"]\n  12 [size=\"38250496\", alpha=\"0.16\", expect_size=\"19125248\"] \n  12 -> 13 [size =\"19125248\"]\n  13 [size=\"20387840\", alpha=\"0.07\", expect_size=\"10193920\"] \n  13 -> 14 [size =\"10193920\"]\n  14 [size=\"68915200\", alpha=\"0.03\", expect_size=\"34457600\"] \n  14 -> 15 [size =\"34457600\"]\n  15 [size=\"13645824\", alpha=\"0.02\", expect_size=\"6822912\"] \n  15 -> 16 [size =\"6822912\"]\n  16 [size=\"42942464\", alpha=\"0.06\", expect_size=\"21471232\"] \n  16 -> 17 [size =\"21471232\"]\n  17 [size=\"62224384\", alpha=\"0.17\", expect_size=\"31112192\"] \n  17 -> 18 [size =\"31112192\"]\n  18 [size=\"68646912\", alpha=\"0.19\", expect_size=\"34323456\"] \n  18 -> 19 [size =\"34323456\"]\n  19 [size=\"103284736\", alpha=\"0.11\", expect_size=\"51642368\"] \n  19 -> 20 [size =\"51642368\"]\n  20 [size=\"95512576\", alpha=\"0.13\", expect_size=\"47756288\"] \n  20 -> 21 [size =\"47756288\"]\n  21 [size=\"29255680\", alpha=\"0.16\", expect_size=\"14627840\"] \n  21 -> 22 [size =\"14627840\"]\n  22 [size=\"26060800\", alpha=\"0.03\", expect_size=\"13030400\"] \n  22 -> 23 [size =\"13030400\"]\n  23 [size=\"100380672\", alpha=\"0.08\", expect_size=\"50190336\"] \n  23 -> 24 [size =\"50190336\"]\n  24 [size=\"39481344\", alpha=\"0.10\", expect_size=\"19740672\"] \n  24 -> 25 [size =\"19740672\"]\n  25 [size=\"54697984\", alpha=\"0.14\", expect_size=\"27348992\"] \n  25 -> 26 [size =\"27348992\"]\n  26 [size=\"63100928\", alpha=\"0.19\", expect_size=\"31550464\"] \n  26 -> 27 [size =\"31550464\"]\n  27 [size=\"90499072\", alpha=\"0.01\", expect_size=\"45249536\"] \n  27 -> 28 [size =\"45249536\"]\n  28 [size=\"75716608\", alpha=\"0.12\", expect_size=\"37858304\"] \n  28 -> 29 [size =\"37858304\"]\n  29 [size=\"71698432\", alpha=\"0.05\", expect_size=\"35849216\"] \n  29 -> 30 [size =\"35849216\"]\n  30 [size=\"27705344\", alpha=\"0.02\", expect_size=\"13852672\"] \n  30 -> 31 [size =\"13852672\"]\n  31 [size=\"88956928\", alpha=\"0.20\", expect_size=\"44478464\"] \n  31 -> 32 [size =\"44478464\"]\n  32 [size=\"70893568\", alpha=\"0.03\", expect_size=\"35446784\"] \n  32 -> 33 [size =\"35446784\"]\n  33 [size=\"84758528\", alpha=\"0.09\", expect_size=\"42379264\"] \n  33 -> 34 [size =\"42379264\"]\n  34 [size=\"27422720\", alpha=\"0.06\", expect_size=\"13711360\"] \n  34 -> 35 [size =\"13711360\"]\n  35 [size=\"75325440\", alpha=\"0.05\", expect_size=\"37662720\"] \n  35 -> 36 [size =\"37662720\"]\n  36 [size=\"45766656\", alpha=\"0.10\", expect_size=\"22883328\"] \n  36 -> 37 [size =\"22883328\"]\n  37 [size=\"38899712\", alpha=\"0.07\", expect_size=\"19449856\"] \n  37 -> 38 [size =\"19449856\"]\n  38 [size=\"43931648\", alpha=\"0.16\", expect_size=\"21965824\"] \n  38 -> 39 [size =\"21965824\"]\n  39 [size=\"102109184\", alpha=\"0.04\", expect_size=\"51054592\"] \n  39 -> 40 [size =\"51054592\"]\n  40 [size=\"30605312\", alpha=\"0.10\", expect_size=\"15302656\"] \n  40 -> 41 [size =\"15302656\"]\n  41 [size=\"40513536\", alpha=\"0.01\", expect_size=\"20256768\"] \n  41 -> 42 [size =\"20256768\"]\n  42 [size=\"38793216\", alpha=\"0.15\", expect_size=\"19396608\"] \n  42 -> 43 [size =\"19396608\"]\n  43 [size=\"53207040\", alpha=\"0.07\", expect_size=\"26603520\"] \n  43 -> 44 [size =\"26603520\"]\n  44 [size=\"93657088\", alpha=\"0.06\", expect_size=\"46828544\"] \n  44 -> 45 [size =\"46828544\"]\n  45 [size=\"29831168\", alpha=\"0.15\", expect_size=\"14915584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38576640\", alpha=\"0.08\", expect_size=\"15430656\"] \n  1 -> 5 [size =\"15430656\"]\n  2 [size=\"29440000\", alpha=\"0.01\", expect_size=\"11776000\"] \n  2 -> 4 [size =\"11776000\"]\n  3 [size=\"119790080\", alpha=\"0.06\", expect_size=\"47916032\"] \n  3 -> 5 [size =\"47916032\"]\n  4 [size=\"93248000\", alpha=\"0.18\", expect_size=\"37299200\"] \n  5 [size=\"82416640\", alpha=\"0.19\", expect_size=\"32966656\"] \n  5 -> 6 [size =\"32966656\"]\n  5 -> 7 [size =\"32966656\"]\n  6 [size=\"20997120\", alpha=\"0.10\", expect_size=\"8398848\"] \n  6 -> 8 [size =\"8398848\"]\n  6 -> 9 [size =\"8398848\"]\n  7 [size=\"122856960\", alpha=\"0.09\", expect_size=\"49142784\"] \n  8 [size=\"100188160\", alpha=\"0.20\", expect_size=\"40075264\"] \n  8 -> 12 [size =\"40075264\"]\n  9 [size=\"106091520\", alpha=\"0.05\", expect_size=\"42436608\"] \n  9 -> 10 [size =\"42436608\"]\n  9 -> 11 [size =\"42436608\"]\n  10 [size=\"102069760\", alpha=\"0.15\", expect_size=\"40827904\"] \n  10 -> 15 [size =\"40827904\"]\n  11 [size=\"32430080\", alpha=\"0.15\", expect_size=\"12972032\"] \n  11 -> 13 [size =\"12972032\"]\n  12 [size=\"82511360\", alpha=\"0.11\", expect_size=\"33004544\"] \n  12 -> 14 [size =\"33004544\"]\n  12 -> 15 [size =\"33004544\"]\n  13 [size=\"88440320\", alpha=\"0.07\", expect_size=\"35376128\"] \n  13 -> 16 [size =\"35376128\"]\n  13 -> 17 [size =\"35376128\"]\n  14 [size=\"123028480\", alpha=\"0.10\", expect_size=\"49211392\"] \n  14 -> 17 [size =\"49211392\"]\n  15 [size=\"111457280\", alpha=\"0.04\", expect_size=\"44582912\"] \n  16 [size=\"106856960\", alpha=\"0.07\", expect_size=\"42742784\"] \n  16 -> 18 [size =\"42742784\"]\n  16 -> 19 [size =\"42742784\"]\n  17 [size=\"45652480\", alpha=\"0.09\", expect_size=\"18260992\"] \n  17 -> 20 [size =\"18260992\"]\n  18 [size=\"96378880\", alpha=\"0.12\", expect_size=\"38551552\"] \n  18 -> 21 [size =\"38551552\"]\n  19 [size=\"95715840\", alpha=\"0.05\", expect_size=\"38286336\"] \n  19 -> 21 [size =\"38286336\"]\n  20 [size=\"123793920\", alpha=\"0.01\", expect_size=\"49517568\"] \n  20 -> 22 [size =\"49517568\"]\n  20 -> 23 [size =\"49517568\"]\n  21 [size=\"96453120\", alpha=\"0.02\", expect_size=\"38581248\"] \n  21 -> 25 [size =\"38581248\"]\n  21 -> 26 [size =\"38581248\"]\n  22 [size=\"68572160\", alpha=\"0.05\", expect_size=\"27428864\"] \n  22 -> 24 [size =\"27428864\"]\n  22 -> 25 [size =\"27428864\"]\n  22 -> 26 [size =\"27428864\"]\n  23 [size=\"15631360\", alpha=\"0.07\", expect_size=\"6252544\"] \n  24 [size=\"58155520\", alpha=\"0.01\", expect_size=\"23262208\"] \n  24 -> 27 [size =\"23262208\"]\n  24 -> 28 [size =\"23262208\"]\n  24 -> 29 [size =\"23262208\"]\n  25 [size=\"117158400\", alpha=\"0.08\", expect_size=\"46863360\"] \n  25 -> 28 [size =\"46863360\"]\n  25 -> 29 [size =\"46863360\"]\n  26 [size=\"23567360\", alpha=\"0.16\", expect_size=\"9426944\"] \n  26 -> 27 [size =\"9426944\"]\n  27 [size=\"63193600\", alpha=\"0.03\", expect_size=\"25277440\"] \n  27 -> 31 [size =\"25277440\"]\n  28 [size=\"119214080\", alpha=\"0.04\", expect_size=\"47685632\"] \n  29 [size=\"73121280\", alpha=\"0.01\", expect_size=\"29248512\"] \n  29 -> 30 [size =\"29248512\"]\n  30 [size=\"104399360\", alpha=\"0.14\", expect_size=\"41759744\"] \n  30 -> 32 [size =\"41759744\"]\n  31 [size=\"113080320\", alpha=\"0.09\", expect_size=\"45232128\"] \n  31 -> 33 [size =\"45232128\"]\n  31 -> 34 [size =\"45232128\"]\n  32 [size=\"124631040\", alpha=\"0.16\", expect_size=\"49852416\"] \n  33 [size=\"37424640\", alpha=\"0.16\", expect_size=\"14969856\"] \n  33 -> 35 [size =\"14969856\"]\n  34 [size=\"76108800\", alpha=\"0.15\", expect_size=\"30443520\"] \n  34 -> 36 [size =\"30443520\"]\n  35 [size=\"84892160\", alpha=\"0.11\", expect_size=\"33956864\"] \n  35 -> 37 [size =\"33956864\"]\n  36 [size=\"15121920\", alpha=\"0.02\", expect_size=\"6048768\"] \n  36 -> 38 [size =\"6048768\"]\n  36 -> 39 [size =\"6048768\"]\n  37 [size=\"110620160\", alpha=\"0.19\", expect_size=\"44248064\"] \n  37 -> 41 [size =\"44248064\"]\n  38 [size=\"127237120\", alpha=\"0.09\", expect_size=\"50894848\"] \n  38 -> 40 [size =\"50894848\"]\n  39 [size=\"34094080\", alpha=\"0.14\", expect_size=\"13637632\"] \n  40 [size=\"42140160\", alpha=\"0.18\", expect_size=\"16856064\"] \n  40 -> 43 [size =\"16856064\"]\n  40 -> 44 [size =\"16856064\"]\n  41 [size=\"122373120\", alpha=\"0.16\", expect_size=\"48949248\"] \n  41 -> 42 [size =\"48949248\"]\n  42 [size=\"58191360\", alpha=\"0.03\", expect_size=\"23276544\"] \n  42 -> 45 [size =\"23276544\"]\n  43 [size=\"36963840\", alpha=\"0.11\", expect_size=\"14785536\"] \n  43 -> 45 [size =\"14785536\"]\n  44 [size=\"16056320\", alpha=\"0.06\", expect_size=\"6422528\"] \n  45 [size=\"105397760\", alpha=\"0.19\", expect_size=\"42159104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165775360\", alpha=\"0.06\", expect_size=\"49732608\"] \n  1 -> 4 [size =\"49732608\"]\n  2 [size=\"29310293\", alpha=\"0.14\", expect_size=\"8793088\"] \n  3 [size=\"64662187\", alpha=\"0.15\", expect_size=\"19398656\"] \n  3 -> 4 [size =\"19398656\"]\n  3 -> 5 [size =\"19398656\"]\n  4 [size=\"52387840\", alpha=\"0.07\", expect_size=\"15716352\"] \n  4 -> 6 [size =\"15716352\"]\n  4 -> 7 [size =\"15716352\"]\n  5 [size=\"23886507\", alpha=\"0.02\", expect_size=\"7165952\"] \n  5 -> 6 [size =\"7165952\"]\n  5 -> 7 [size =\"7165952\"]\n  5 -> 8 [size =\"7165952\"]\n  6 [size=\"84821333\", alpha=\"0.03\", expect_size=\"25446400\"] \n  6 -> 9 [size =\"25446400\"]\n  7 [size=\"146257920\", alpha=\"0.18\", expect_size=\"43877376\"] \n  7 -> 10 [size =\"43877376\"]\n  8 [size=\"74127360\", alpha=\"0.11\", expect_size=\"22238208\"] \n  8 -> 9 [size =\"22238208\"]\n  9 [size=\"166290773\", alpha=\"0.08\", expect_size=\"49887232\"] \n  9 -> 11 [size =\"49887232\"]\n  9 -> 12 [size =\"49887232\"]\n  10 [size=\"142677333\", alpha=\"0.19\", expect_size=\"42803200\"] \n  10 -> 12 [size =\"42803200\"]\n  11 [size=\"47687680\", alpha=\"0.01\", expect_size=\"14306304\"] \n  11 -> 14 [size =\"14306304\"]\n  12 [size=\"98273280\", alpha=\"0.06\", expect_size=\"29481984\"] \n  12 -> 13 [size =\"29481984\"]\n  12 -> 14 [size =\"29481984\"]\n  12 -> 15 [size =\"29481984\"]\n  13 [size=\"50360320\", alpha=\"0.13\", expect_size=\"15108096\"] \n  13 -> 16 [size =\"15108096\"]\n  13 -> 17 [size =\"15108096\"]\n  14 [size=\"171407360\", alpha=\"0.05\", expect_size=\"51422208\"] \n  15 [size=\"65355093\", alpha=\"0.01\", expect_size=\"19606528\"] \n  15 -> 17 [size =\"19606528\"]\n  15 -> 18 [size =\"19606528\"]\n  16 [size=\"82384213\", alpha=\"0.09\", expect_size=\"24715264\"] \n  16 -> 20 [size =\"24715264\"]\n  17 [size=\"109120853\", alpha=\"0.13\", expect_size=\"32736256\"] \n  17 -> 21 [size =\"32736256\"]\n  18 [size=\"93405867\", alpha=\"0.16\", expect_size=\"28021760\"] \n  18 -> 19 [size =\"28021760\"]\n  18 -> 20 [size =\"28021760\"]\n  19 [size=\"24661333\", alpha=\"0.06\", expect_size=\"7398400\"] \n  19 -> 23 [size =\"7398400\"]\n  19 -> 24 [size =\"7398400\"]\n  20 [size=\"85189973\", alpha=\"0.15\", expect_size=\"25556992\"] \n  20 -> 22 [size =\"25556992\"]\n  20 -> 24 [size =\"25556992\"]\n  21 [size=\"77981013\", alpha=\"0.03\", expect_size=\"23394304\"] \n  21 -> 22 [size =\"23394304\"]\n  21 -> 24 [size =\"23394304\"]\n  22 [size=\"86456320\", alpha=\"0.13\", expect_size=\"25936896\"] \n  22 -> 26 [size =\"25936896\"]\n  23 [size=\"133348693\", alpha=\"0.08\", expect_size=\"40004608\"] \n  24 [size=\"79732053\", alpha=\"0.08\", expect_size=\"23919616\"] \n  24 -> 25 [size =\"23919616\"]\n  24 -> 27 [size =\"23919616\"]\n  25 [size=\"115466240\", alpha=\"0.09\", expect_size=\"34639872\"] \n  25 -> 28 [size =\"34639872\"]\n  25 -> 30 [size =\"34639872\"]\n  26 [size=\"122548907\", alpha=\"0.18\", expect_size=\"36764672\"] \n  26 -> 29 [size =\"36764672\"]\n  26 -> 30 [size =\"36764672\"]\n  27 [size=\"35778560\", alpha=\"0.04\", expect_size=\"10733568\"] \n  28 [size=\"139287893\", alpha=\"0.17\", expect_size=\"41786368\"] \n  28 -> 31 [size =\"41786368\"]\n  28 -> 32 [size =\"41786368\"]\n  29 [size=\"106031787\", alpha=\"0.09\", expect_size=\"31809536\"] \n  29 -> 31 [size =\"31809536\"]\n  30 [size=\"152524800\", alpha=\"0.17\", expect_size=\"45757440\"] \n  31 [size=\"114039467\", alpha=\"0.08\", expect_size=\"34211840\"] \n  31 -> 33 [size =\"34211840\"]\n  31 -> 34 [size =\"34211840\"]\n  31 -> 35 [size =\"34211840\"]\n  32 [size=\"138874880\", alpha=\"0.10\", expect_size=\"41662464\"] \n  33 [size=\"81582080\", alpha=\"0.16\", expect_size=\"24474624\"] \n  33 -> 36 [size =\"24474624\"]\n  33 -> 38 [size =\"24474624\"]\n  34 [size=\"146636800\", alpha=\"0.02\", expect_size=\"43991040\"] \n  34 -> 37 [size =\"43991040\"]\n  35 [size=\"54381227\", alpha=\"0.14\", expect_size=\"16314368\"] \n  35 -> 37 [size =\"16314368\"]\n  35 -> 38 [size =\"16314368\"]\n  36 [size=\"125798400\", alpha=\"0.14\", expect_size=\"37739520\"] \n  37 [size=\"113664000\", alpha=\"0.06\", expect_size=\"34099200\"] \n  37 -> 39 [size =\"34099200\"]\n  37 -> 40 [size =\"34099200\"]\n  37 -> 41 [size =\"34099200\"]\n  38 [size=\"146756267\", alpha=\"0.07\", expect_size=\"44026880\"] \n  38 -> 39 [size =\"44026880\"]\n  38 -> 40 [size =\"44026880\"]\n  39 [size=\"124450133\", alpha=\"0.09\", expect_size=\"37335040\"] \n  39 -> 42 [size =\"37335040\"]\n  39 -> 43 [size =\"37335040\"]\n  40 [size=\"38270293\", alpha=\"0.20\", expect_size=\"11481088\"] \n  40 -> 43 [size =\"11481088\"]\n  41 [size=\"170704213\", alpha=\"0.19\", expect_size=\"51211264\"] \n  41 -> 42 [size =\"51211264\"]\n  41 -> 43 [size =\"51211264\"]\n  41 -> 44 [size =\"51211264\"]\n  42 [size=\"80110933\", alpha=\"0.06\", expect_size=\"24033280\"] \n  42 -> 45 [size =\"24033280\"]\n  43 [size=\"161856853\", alpha=\"0.08\", expect_size=\"48557056\"] \n  43 -> 45 [size =\"48557056\"]\n  44 [size=\"134263467\", alpha=\"0.18\", expect_size=\"40279040\"] \n  45 [size=\"151255040\", alpha=\"0.00\", expect_size=\"45376512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24152064\", alpha=\"0.01\", expect_size=\"12076032\"] \n  1 -> 2 [size =\"12076032\"]\n  2 [size=\"21114880\", alpha=\"0.04\", expect_size=\"10557440\"] \n  2 -> 3 [size =\"10557440\"]\n  3 [size=\"88645632\", alpha=\"0.06\", expect_size=\"44322816\"] \n  3 -> 4 [size =\"44322816\"]\n  4 [size=\"92133376\", alpha=\"0.11\", expect_size=\"46066688\"] \n  4 -> 5 [size =\"46066688\"]\n  5 [size=\"57702400\", alpha=\"0.01\", expect_size=\"28851200\"] \n  5 -> 6 [size =\"28851200\"]\n  6 [size=\"25700352\", alpha=\"0.11\", expect_size=\"12850176\"] \n  6 -> 7 [size =\"12850176\"]\n  7 [size=\"13725696\", alpha=\"0.05\", expect_size=\"6862848\"] \n  7 -> 8 [size =\"6862848\"]\n  8 [size=\"26017792\", alpha=\"0.09\", expect_size=\"13008896\"] \n  8 -> 9 [size =\"13008896\"]\n  9 [size=\"50565120\", alpha=\"0.19\", expect_size=\"25282560\"] \n  9 -> 10 [size =\"25282560\"]\n  10 [size=\"84844544\", alpha=\"0.11\", expect_size=\"42422272\"] \n  10 -> 11 [size =\"42422272\"]\n  11 [size=\"20183040\", alpha=\"0.03\", expect_size=\"10091520\"] \n  11 -> 12 [size =\"10091520\"]\n  12 [size=\"26992640\", alpha=\"0.15\", expect_size=\"13496320\"] \n  12 -> 13 [size =\"13496320\"]\n  13 [size=\"47329280\", alpha=\"0.14\", expect_size=\"23664640\"] \n  13 -> 14 [size =\"23664640\"]\n  14 [size=\"77015040\", alpha=\"0.19\", expect_size=\"38507520\"] \n  14 -> 15 [size =\"38507520\"]\n  15 [size=\"33683456\", alpha=\"0.04\", expect_size=\"16841728\"] \n  15 -> 16 [size =\"16841728\"]\n  16 [size=\"38385664\", alpha=\"0.19\", expect_size=\"19192832\"] \n  16 -> 17 [size =\"19192832\"]\n  17 [size=\"91052032\", alpha=\"0.19\", expect_size=\"45526016\"] \n  17 -> 18 [size =\"45526016\"]\n  18 [size=\"22005760\", alpha=\"0.09\", expect_size=\"11002880\"] \n  18 -> 19 [size =\"11002880\"]\n  19 [size=\"62664704\", alpha=\"0.09\", expect_size=\"31332352\"] \n  19 -> 20 [size =\"31332352\"]\n  20 [size=\"55638016\", alpha=\"0.03\", expect_size=\"27819008\"] \n  20 -> 21 [size =\"27819008\"]\n  21 [size=\"12673024\", alpha=\"0.01\", expect_size=\"6336512\"] \n  21 -> 22 [size =\"6336512\"]\n  22 [size=\"27049984\", alpha=\"0.00\", expect_size=\"13524992\"] \n  22 -> 23 [size =\"13524992\"]\n  23 [size=\"97439744\", alpha=\"0.16\", expect_size=\"48719872\"] \n  23 -> 24 [size =\"48719872\"]\n  24 [size=\"68341760\", alpha=\"0.10\", expect_size=\"34170880\"] \n  24 -> 25 [size =\"34170880\"]\n  25 [size=\"64262144\", alpha=\"0.13\", expect_size=\"32131072\"] \n  25 -> 26 [size =\"32131072\"]\n  26 [size=\"81207296\", alpha=\"0.20\", expect_size=\"40603648\"] \n  26 -> 27 [size =\"40603648\"]\n  27 [size=\"76492800\", alpha=\"0.07\", expect_size=\"38246400\"] \n  27 -> 28 [size =\"38246400\"]\n  28 [size=\"72519680\", alpha=\"0.17\", expect_size=\"36259840\"] \n  28 -> 29 [size =\"36259840\"]\n  29 [size=\"20588544\", alpha=\"0.17\", expect_size=\"10294272\"] \n  29 -> 30 [size =\"10294272\"]\n  30 [size=\"63567872\", alpha=\"0.11\", expect_size=\"31783936\"] \n  30 -> 31 [size =\"31783936\"]\n  31 [size=\"79886336\", alpha=\"0.08\", expect_size=\"39943168\"] \n  31 -> 32 [size =\"39943168\"]\n  32 [size=\"83212288\", alpha=\"0.09\", expect_size=\"41606144\"] \n  32 -> 33 [size =\"41606144\"]\n  33 [size=\"84176896\", alpha=\"0.17\", expect_size=\"42088448\"] \n  33 -> 34 [size =\"42088448\"]\n  34 [size=\"66570240\", alpha=\"0.19\", expect_size=\"33285120\"] \n  34 -> 35 [size =\"33285120\"]\n  35 [size=\"17670144\", alpha=\"0.06\", expect_size=\"8835072\"] \n  35 -> 36 [size =\"8835072\"]\n  36 [size=\"79060992\", alpha=\"0.19\", expect_size=\"39530496\"] \n  36 -> 37 [size =\"39530496\"]\n  37 [size=\"77219840\", alpha=\"0.10\", expect_size=\"38609920\"] \n  37 -> 38 [size =\"38609920\"]\n  38 [size=\"15384576\", alpha=\"0.02\", expect_size=\"7692288\"] \n  38 -> 39 [size =\"7692288\"]\n  39 [size=\"97835008\", alpha=\"0.06\", expect_size=\"48917504\"] \n  39 -> 40 [size =\"48917504\"]\n  40 [size=\"81532928\", alpha=\"0.19\", expect_size=\"40766464\"] \n  40 -> 41 [size =\"40766464\"]\n  41 [size=\"40843264\", alpha=\"0.13\", expect_size=\"20421632\"] \n  41 -> 42 [size =\"20421632\"]\n  42 [size=\"79831040\", alpha=\"0.10\", expect_size=\"39915520\"] \n  42 -> 43 [size =\"39915520\"]\n  43 [size=\"26261504\", alpha=\"0.06\", expect_size=\"13130752\"] \n  43 -> 44 [size =\"13130752\"]\n  44 [size=\"11350016\", alpha=\"0.14\", expect_size=\"5675008\"] \n  44 -> 45 [size =\"5675008\"]\n  45 [size=\"101627904\", alpha=\"0.13\", expect_size=\"50813952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92631040\", alpha=\"0.17\", expect_size=\"46315520\"] \n  1 -> 5 [size =\"46315520\"]\n  1 -> 6 [size =\"46315520\"]\n  2 [size=\"100960256\", alpha=\"0.16\", expect_size=\"50480128\"] \n  2 -> 4 [size =\"50480128\"]\n  2 -> 5 [size =\"50480128\"]\n  2 -> 6 [size =\"50480128\"]\n  3 [size=\"83755008\", alpha=\"0.01\", expect_size=\"41877504\"] \n  3 -> 4 [size =\"41877504\"]\n  3 -> 5 [size =\"41877504\"]\n  3 -> 6 [size =\"41877504\"]\n  4 [size=\"90361856\", alpha=\"0.16\", expect_size=\"45180928\"] \n  4 -> 7 [size =\"45180928\"]\n  4 -> 8 [size =\"45180928\"]\n  5 [size=\"36655104\", alpha=\"0.07\", expect_size=\"18327552\"] \n  5 -> 7 [size =\"18327552\"]\n  6 [size=\"17283072\", alpha=\"0.19\", expect_size=\"8641536\"] \n  6 -> 7 [size =\"8641536\"]\n  6 -> 9 [size =\"8641536\"]\n  7 [size=\"35028992\", alpha=\"0.13\", expect_size=\"17514496\"] \n  7 -> 10 [size =\"17514496\"]\n  8 [size=\"95485952\", alpha=\"0.06\", expect_size=\"47742976\"] \n  8 -> 10 [size =\"47742976\"]\n  8 -> 11 [size =\"47742976\"]\n  9 [size=\"97515520\", alpha=\"0.17\", expect_size=\"48757760\"] \n  10 [size=\"42395648\", alpha=\"0.19\", expect_size=\"21197824\"] \n  10 -> 12 [size =\"21197824\"]\n  10 -> 13 [size =\"21197824\"]\n  11 [size=\"42018816\", alpha=\"0.09\", expect_size=\"21009408\"] \n  11 -> 12 [size =\"21009408\"]\n  11 -> 13 [size =\"21009408\"]\n  11 -> 14 [size =\"21009408\"]\n  12 [size=\"28792832\", alpha=\"0.19\", expect_size=\"14396416\"] \n  12 -> 16 [size =\"14396416\"]\n  12 -> 16 [size =\"14396416\"]\n  13 [size=\"102270976\", alpha=\"0.02\", expect_size=\"51135488\"] \n  14 [size=\"12980224\", alpha=\"0.06\", expect_size=\"6490112\"] \n  14 -> 15 [size =\"6490112\"]\n  14 -> 16 [size =\"6490112\"]\n  15 [size=\"87287808\", alpha=\"0.04\", expect_size=\"43643904\"] \n  15 -> 17 [size =\"43643904\"]\n  15 -> 18 [size =\"43643904\"]\n  16 [size=\"23613440\", alpha=\"0.09\", expect_size=\"11806720\"] \n  16 -> 17 [size =\"11806720\"]\n  16 -> 18 [size =\"11806720\"]\n  17 [size=\"18880512\", alpha=\"0.17\", expect_size=\"9440256\"] \n  17 -> 19 [size =\"9440256\"]\n  17 -> 21 [size =\"9440256\"]\n  18 [size=\"82003968\", alpha=\"0.06\", expect_size=\"41001984\"] \n  18 -> 19 [size =\"41001984\"]\n  18 -> 20 [size =\"41001984\"]\n  18 -> 21 [size =\"41001984\"]\n  19 [size=\"14981120\", alpha=\"0.13\", expect_size=\"7490560\"] \n  19 -> 22 [size =\"7490560\"]\n  19 -> 23 [size =\"7490560\"]\n  19 -> 24 [size =\"7490560\"]\n  20 [size=\"94582784\", alpha=\"0.18\", expect_size=\"47291392\"] \n  20 -> 22 [size =\"47291392\"]\n  20 -> 23 [size =\"47291392\"]\n  20 -> 24 [size =\"47291392\"]\n  21 [size=\"91015168\", alpha=\"0.00\", expect_size=\"45507584\"] \n  21 -> 22 [size =\"45507584\"]\n  21 -> 23 [size =\"45507584\"]\n  21 -> 24 [size =\"45507584\"]\n  22 [size=\"36935680\", alpha=\"0.02\", expect_size=\"18467840\"] \n  23 [size=\"30218240\", alpha=\"0.19\", expect_size=\"15109120\"] \n  24 [size=\"40622080\", alpha=\"0.13\", expect_size=\"20311040\"] \n  24 -> 25 [size =\"20311040\"]\n  25 [size=\"68937728\", alpha=\"0.12\", expect_size=\"34468864\"] \n  25 -> 26 [size =\"34468864\"]\n  25 -> 27 [size =\"34468864\"]\n  25 -> 28 [size =\"34468864\"]\n  26 [size=\"88274944\", alpha=\"0.14\", expect_size=\"44137472\"] \n  26 -> 29 [size =\"44137472\"]\n  27 [size=\"36456448\", alpha=\"0.20\", expect_size=\"18228224\"] \n  27 -> 29 [size =\"18228224\"]\n  28 [size=\"24178688\", alpha=\"0.04\", expect_size=\"12089344\"] \n  28 -> 29 [size =\"12089344\"]\n  29 [size=\"51451904\", alpha=\"0.07\", expect_size=\"25725952\"] \n  29 -> 30 [size =\"25725952\"]\n  29 -> 31 [size =\"25725952\"]\n  29 -> 32 [size =\"25725952\"]\n  29 -> 33 [size =\"25725952\"]\n  30 [size=\"16873472\", alpha=\"0.16\", expect_size=\"8436736\"] \n  30 -> 35 [size =\"8436736\"]\n  31 [size=\"100308992\", alpha=\"0.12\", expect_size=\"50154496\"] \n  31 -> 35 [size =\"50154496\"]\n  31 -> 36 [size =\"50154496\"]\n  32 [size=\"100790272\", alpha=\"0.12\", expect_size=\"50395136\"] \n  32 -> 34 [size =\"50395136\"]\n  32 -> 36 [size =\"50395136\"]\n  33 [size=\"14419968\", alpha=\"0.12\", expect_size=\"7209984\"] \n  33 -> 36 [size =\"7209984\"]\n  33 -> 36 [size =\"7209984\"]\n  34 [size=\"103211008\", alpha=\"0.12\", expect_size=\"51605504\"] \n  35 [size=\"69554176\", alpha=\"0.08\", expect_size=\"34777088\"] \n  35 -> 37 [size =\"34777088\"]\n  36 [size=\"33992704\", alpha=\"0.07\", expect_size=\"16996352\"] \n  36 -> 37 [size =\"16996352\"]\n  36 -> 38 [size =\"16996352\"]\n  37 [size=\"97693696\", alpha=\"0.08\", expect_size=\"48846848\"] \n  37 -> 39 [size =\"48846848\"]\n  37 -> 40 [size =\"48846848\"]\n  37 -> 41 [size =\"48846848\"]\n  38 [size=\"96460800\", alpha=\"0.04\", expect_size=\"48230400\"] \n  38 -> 39 [size =\"48230400\"]\n  38 -> 41 [size =\"48230400\"]\n  38 -> 42 [size =\"48230400\"]\n  39 [size=\"20924416\", alpha=\"0.01\", expect_size=\"10462208\"] \n  39 -> 43 [size =\"10462208\"]\n  40 [size=\"52486144\", alpha=\"0.16\", expect_size=\"26243072\"] \n  40 -> 43 [size =\"26243072\"]\n  41 [size=\"34310144\", alpha=\"0.08\", expect_size=\"17155072\"] \n  41 -> 43 [size =\"17155072\"]\n  42 [size=\"92305408\", alpha=\"0.05\", expect_size=\"46152704\"] \n  42 -> 43 [size =\"46152704\"]\n  43 [size=\"56035328\", alpha=\"0.07\", expect_size=\"28017664\"] \n  43 -> 44 [size =\"28017664\"]\n  43 -> 45 [size =\"28017664\"]\n  44 [size=\"17285120\", alpha=\"0.15\", expect_size=\"8642560\"] \n  45 [size=\"72923136\", alpha=\"0.15\", expect_size=\"36461568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34699264\", alpha=\"0.03\", expect_size=\"17349632\"] \n  1 -> 10 [size =\"17349632\"]\n  2 [size=\"90843136\", alpha=\"0.13\", expect_size=\"45421568\"] \n  2 -> 7 [size =\"45421568\"]\n  2 -> 10 [size =\"45421568\"]\n  3 [size=\"96067584\", alpha=\"0.20\", expect_size=\"48033792\"] \n  3 -> 7 [size =\"48033792\"]\n  3 -> 8 [size =\"48033792\"]\n  3 -> 9 [size =\"48033792\"]\n  3 -> 10 [size =\"48033792\"]\n  4 [size=\"60891136\", alpha=\"0.16\", expect_size=\"30445568\"] \n  4 -> 6 [size =\"30445568\"]\n  4 -> 7 [size =\"30445568\"]\n  4 -> 8 [size =\"30445568\"]\n  4 -> 10 [size =\"30445568\"]\n  5 [size=\"59224064\", alpha=\"0.08\", expect_size=\"29612032\"] \n  5 -> 8 [size =\"29612032\"]\n  5 -> 9 [size =\"29612032\"]\n  5 -> 10 [size =\"29612032\"]\n  6 [size=\"61018112\", alpha=\"0.03\", expect_size=\"30509056\"] \n  6 -> 11 [size =\"30509056\"]\n  6 -> 12 [size =\"30509056\"]\n  6 -> 14 [size =\"30509056\"]\n  7 [size=\"56854528\", alpha=\"0.08\", expect_size=\"28427264\"] \n  7 -> 11 [size =\"28427264\"]\n  7 -> 12 [size =\"28427264\"]\n  7 -> 13 [size =\"28427264\"]\n  7 -> 14 [size =\"28427264\"]\n  8 [size=\"51732480\", alpha=\"0.17\", expect_size=\"25866240\"] \n  8 -> 11 [size =\"25866240\"]\n  8 -> 13 [size =\"25866240\"]\n  8 -> 14 [size =\"25866240\"]\n  8 -> 15 [size =\"25866240\"]\n  9 [size=\"86540288\", alpha=\"0.16\", expect_size=\"43270144\"] \n  9 -> 11 [size =\"43270144\"]\n  9 -> 12 [size =\"43270144\"]\n  9 -> 13 [size =\"43270144\"]\n  9 -> 14 [size =\"43270144\"]\n  10 [size=\"86386688\", alpha=\"0.04\", expect_size=\"43193344\"] \n  10 -> 13 [size =\"43193344\"]\n  10 -> 14 [size =\"43193344\"]\n  10 -> 15 [size =\"43193344\"]\n  11 [size=\"21827584\", alpha=\"0.08\", expect_size=\"10913792\"] \n  11 -> 16 [size =\"10913792\"]\n  11 -> 17 [size =\"10913792\"]\n  11 -> 18 [size =\"10913792\"]\n  11 -> 23 [size =\"10913792\"]\n  12 [size=\"35792896\", alpha=\"0.12\", expect_size=\"17896448\"] \n  12 -> 16 [size =\"17896448\"]\n  12 -> 18 [size =\"17896448\"]\n  12 -> 21 [size =\"17896448\"]\n  12 -> 23 [size =\"17896448\"]\n  13 [size=\"98715648\", alpha=\"0.09\", expect_size=\"49357824\"] \n  13 -> 16 [size =\"49357824\"]\n  13 -> 18 [size =\"49357824\"]\n  14 [size=\"98074624\", alpha=\"0.14\", expect_size=\"49037312\"] \n  14 -> 21 [size =\"49037312\"]\n  14 -> 22 [size =\"49037312\"]\n  14 -> 23 [size =\"49037312\"]\n  15 [size=\"79351808\", alpha=\"0.06\", expect_size=\"39675904\"] \n  15 -> 16 [size =\"39675904\"]\n  15 -> 19 [size =\"39675904\"]\n  15 -> 20 [size =\"39675904\"]\n  16 [size=\"24893440\", alpha=\"0.11\", expect_size=\"12446720\"] \n  16 -> 25 [size =\"12446720\"]\n  16 -> 26 [size =\"12446720\"]\n  16 -> 27 [size =\"12446720\"]\n  16 -> 29 [size =\"12446720\"]\n  16 -> 31 [size =\"12446720\"]\n  17 [size=\"39806976\", alpha=\"0.16\", expect_size=\"19903488\"] \n  17 -> 29 [size =\"19903488\"]\n  18 [size=\"77152256\", alpha=\"0.16\", expect_size=\"38576128\"] \n  18 -> 26 [size =\"38576128\"]\n  18 -> 27 [size =\"38576128\"]\n  18 -> 28 [size =\"38576128\"]\n  18 -> 29 [size =\"38576128\"]\n  19 [size=\"61190144\", alpha=\"0.05\", expect_size=\"30595072\"] \n  19 -> 26 [size =\"30595072\"]\n  19 -> 27 [size =\"30595072\"]\n  20 [size=\"43821056\", alpha=\"0.06\", expect_size=\"21910528\"] \n  20 -> 25 [size =\"21910528\"]\n  20 -> 26 [size =\"21910528\"]\n  20 -> 27 [size =\"21910528\"]\n  20 -> 28 [size =\"21910528\"]\n  21 [size=\"64135168\", alpha=\"0.13\", expect_size=\"32067584\"] \n  21 -> 25 [size =\"32067584\"]\n  21 -> 27 [size =\"32067584\"]\n  21 -> 28 [size =\"32067584\"]\n  21 -> 30 [size =\"32067584\"]\n  22 [size=\"100909056\", alpha=\"0.16\", expect_size=\"50454528\"] \n  22 -> 26 [size =\"50454528\"]\n  22 -> 27 [size =\"50454528\"]\n  22 -> 29 [size =\"50454528\"]\n  22 -> 30 [size =\"50454528\"]\n  23 [size=\"65380352\", alpha=\"0.18\", expect_size=\"32690176\"] \n  23 -> 24 [size =\"32690176\"]\n  23 -> 27 [size =\"32690176\"]\n  23 -> 29 [size =\"32690176\"]\n  23 -> 30 [size =\"32690176\"]\n  24 [size=\"13987840\", alpha=\"0.10\", expect_size=\"6993920\"] \n  24 -> 32 [size =\"6993920\"]\n  24 -> 33 [size =\"6993920\"]\n  24 -> 37 [size =\"6993920\"]\n  25 [size=\"81956864\", alpha=\"0.12\", expect_size=\"40978432\"] \n  25 -> 32 [size =\"40978432\"]\n  25 -> 36 [size =\"40978432\"]\n  26 [size=\"15591424\", alpha=\"0.06\", expect_size=\"7795712\"] \n  26 -> 32 [size =\"7795712\"]\n  26 -> 36 [size =\"7795712\"]\n  27 [size=\"66883584\", alpha=\"0.09\", expect_size=\"33441792\"] \n  27 -> 36 [size =\"33441792\"]\n  27 -> 36 [size =\"33441792\"]\n  28 [size=\"47466496\", alpha=\"0.01\", expect_size=\"23733248\"] \n  28 -> 32 [size =\"23733248\"]\n  28 -> 35 [size =\"23733248\"]\n  28 -> 36 [size =\"23733248\"]\n  29 [size=\"30439424\", alpha=\"0.08\", expect_size=\"15219712\"] \n  29 -> 32 [size =\"15219712\"]\n  29 -> 33 [size =\"15219712\"]\n  29 -> 35 [size =\"15219712\"]\n  29 -> 36 [size =\"15219712\"]\n  30 [size=\"53856256\", alpha=\"0.13\", expect_size=\"26928128\"] \n  30 -> 32 [size =\"26928128\"]\n  30 -> 34 [size =\"26928128\"]\n  30 -> 36 [size =\"26928128\"]\n  30 -> 36 [size =\"26928128\"]\n  30 -> 37 [size =\"26928128\"]\n  31 [size=\"83148800\", alpha=\"0.19\", expect_size=\"41574400\"] \n  31 -> 32 [size =\"41574400\"]\n  31 -> 33 [size =\"41574400\"]\n  31 -> 37 [size =\"41574400\"]\n  32 [size=\"48160768\", alpha=\"0.11\", expect_size=\"24080384\"] \n  33 [size=\"29247488\", alpha=\"0.01\", expect_size=\"14623744\"] \n  33 -> 38 [size =\"14623744\"]\n  33 -> 39 [size =\"14623744\"]\n  33 -> 41 [size =\"14623744\"]\n  33 -> 42 [size =\"14623744\"]\n  34 [size=\"17625088\", alpha=\"0.10\", expect_size=\"8812544\"] \n  34 -> 38 [size =\"8812544\"]\n  34 -> 39 [size =\"8812544\"]\n  34 -> 41 [size =\"8812544\"]\n  35 [size=\"63696896\", alpha=\"0.14\", expect_size=\"31848448\"] \n  35 -> 38 [size =\"31848448\"]\n  35 -> 40 [size =\"31848448\"]\n  36 [size=\"27459584\", alpha=\"0.01\", expect_size=\"13729792\"] \n  36 -> 41 [size =\"13729792\"]\n  37 [size=\"53815296\", alpha=\"0.14\", expect_size=\"26907648\"] \n  38 [size=\"94767104\", alpha=\"0.01\", expect_size=\"47383552\"] \n  38 -> 44 [size =\"47383552\"]\n  38 -> 44 [size =\"47383552\"]\n  38 -> 45 [size =\"47383552\"]\n  39 [size=\"97183744\", alpha=\"0.18\", expect_size=\"48591872\"] \n  39 -> 43 [size =\"48591872\"]\n  39 -> 44 [size =\"48591872\"]\n  39 -> 45 [size =\"48591872\"]\n  40 [size=\"42754048\", alpha=\"0.03\", expect_size=\"21377024\"] \n  40 -> 45 [size =\"21377024\"]\n  41 [size=\"101748736\", alpha=\"0.20\", expect_size=\"50874368\"] \n  41 -> 45 [size =\"50874368\"]\n  42 [size=\"96770048\", alpha=\"0.15\", expect_size=\"48385024\"] \n  42 -> 43 [size =\"48385024\"]\n  42 -> 44 [size =\"48385024\"]\n  42 -> 45 [size =\"48385024\"]\n  43 [size=\"53125120\", alpha=\"0.02\", expect_size=\"26562560\"] \n  44 [size=\"59043840\", alpha=\"0.10\", expect_size=\"29521920\"] \n  45 [size=\"13373440\", alpha=\"0.13\", expect_size=\"6686720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92166144\", alpha=\"0.12\", expect_size=\"46083072\"] \n  1 -> 15 [size =\"46083072\"]\n  1 -> 17 [size =\"46083072\"]\n  1 -> 20 [size =\"46083072\"]\n  1 -> 21 [size =\"46083072\"]\n  1 -> 28 [size =\"46083072\"]\n  2 [size=\"48695296\", alpha=\"0.07\", expect_size=\"24347648\"] \n  2 -> 15 [size =\"24347648\"]\n  2 -> 20 [size =\"24347648\"]\n  3 [size=\"73304064\", alpha=\"0.01\", expect_size=\"36652032\"] \n  3 -> 16 [size =\"36652032\"]\n  3 -> 22 [size =\"36652032\"]\n  3 -> 24 [size =\"36652032\"]\n  3 -> 26 [size =\"36652032\"]\n  4 [size=\"35860480\", alpha=\"0.05\", expect_size=\"17930240\"] \n  4 -> 19 [size =\"17930240\"]\n  4 -> 23 [size =\"17930240\"]\n  4 -> 24 [size =\"17930240\"]\n  4 -> 26 [size =\"17930240\"]\n  5 [size=\"91152384\", alpha=\"0.13\", expect_size=\"45576192\"] \n  5 -> 16 [size =\"45576192\"]\n  5 -> 19 [size =\"45576192\"]\n  5 -> 23 [size =\"45576192\"]\n  5 -> 27 [size =\"45576192\"]\n  6 [size=\"22134784\", alpha=\"0.04\", expect_size=\"11067392\"] \n  6 -> 16 [size =\"11067392\"]\n  6 -> 18 [size =\"11067392\"]\n  6 -> 19 [size =\"11067392\"]\n  6 -> 20 [size =\"11067392\"]\n  6 -> 21 [size =\"11067392\"]\n  6 -> 23 [size =\"11067392\"]\n  6 -> 25 [size =\"11067392\"]\n  6 -> 26 [size =\"11067392\"]\n  7 [size=\"41291776\", alpha=\"0.14\", expect_size=\"20645888\"] \n  7 -> 16 [size =\"20645888\"]\n  7 -> 18 [size =\"20645888\"]\n  7 -> 20 [size =\"20645888\"]\n  7 -> 22 [size =\"20645888\"]\n  7 -> 27 [size =\"20645888\"]\n  8 [size=\"68450304\", alpha=\"0.13\", expect_size=\"34225152\"] \n  8 -> 15 [size =\"34225152\"]\n  8 -> 16 [size =\"34225152\"]\n  8 -> 20 [size =\"34225152\"]\n  8 -> 22 [size =\"34225152\"]\n  8 -> 26 [size =\"34225152\"]\n  8 -> 28 [size =\"34225152\"]\n  9 [size=\"65030144\", alpha=\"0.05\", expect_size=\"32515072\"] \n  9 -> 15 [size =\"32515072\"]\n  9 -> 18 [size =\"32515072\"]\n  9 -> 19 [size =\"32515072\"]\n  9 -> 23 [size =\"32515072\"]\n  10 [size=\"32131072\", alpha=\"0.05\", expect_size=\"16065536\"] \n  10 -> 18 [size =\"16065536\"]\n  10 -> 21 [size =\"16065536\"]\n  10 -> 28 [size =\"16065536\"]\n  11 [size=\"91086848\", alpha=\"0.07\", expect_size=\"45543424\"] \n  11 -> 16 [size =\"45543424\"]\n  11 -> 18 [size =\"45543424\"]\n  11 -> 21 [size =\"45543424\"]\n  12 [size=\"55285760\", alpha=\"0.14\", expect_size=\"27642880\"] \n  12 -> 15 [size =\"27642880\"]\n  12 -> 16 [size =\"27642880\"]\n  12 -> 17 [size =\"27642880\"]\n  12 -> 21 [size =\"27642880\"]\n  12 -> 22 [size =\"27642880\"]\n  12 -> 23 [size =\"27642880\"]\n  12 -> 24 [size =\"27642880\"]\n  12 -> 26 [size =\"27642880\"]\n  12 -> 28 [size =\"27642880\"]\n  13 [size=\"87648256\", alpha=\"0.18\", expect_size=\"43824128\"] \n  13 -> 15 [size =\"43824128\"]\n  13 -> 17 [size =\"43824128\"]\n  13 -> 20 [size =\"43824128\"]\n  13 -> 21 [size =\"43824128\"]\n  13 -> 28 [size =\"43824128\"]\n  14 [size=\"90994688\", alpha=\"0.15\", expect_size=\"45497344\"] \n  14 -> 17 [size =\"45497344\"]\n  14 -> 17 [size =\"45497344\"]\n  14 -> 19 [size =\"45497344\"]\n  14 -> 21 [size =\"45497344\"]\n  14 -> 23 [size =\"45497344\"]\n  14 -> 26 [size =\"45497344\"]\n  15 [size=\"20207616\", alpha=\"0.07\", expect_size=\"10103808\"] \n  15 -> 30 [size =\"10103808\"]\n  15 -> 39 [size =\"10103808\"]\n  16 [size=\"81534976\", alpha=\"0.10\", expect_size=\"40767488\"] \n  16 -> 31 [size =\"40767488\"]\n  16 -> 39 [size =\"40767488\"]\n  16 -> 40 [size =\"40767488\"]\n  17 [size=\"98838528\", alpha=\"0.05\", expect_size=\"49419264\"] \n  17 -> 37 [size =\"49419264\"]\n  17 -> 39 [size =\"49419264\"]\n  18 [size=\"70897664\", alpha=\"0.03\", expect_size=\"35448832\"] \n  18 -> 31 [size =\"35448832\"]\n  18 -> 32 [size =\"35448832\"]\n  18 -> 35 [size =\"35448832\"]\n  18 -> 37 [size =\"35448832\"]\n  18 -> 39 [size =\"35448832\"]\n  19 [size=\"36851712\", alpha=\"0.05\", expect_size=\"18425856\"] \n  19 -> 31 [size =\"18425856\"]\n  19 -> 32 [size =\"18425856\"]\n  20 [size=\"60850176\", alpha=\"0.20\", expect_size=\"30425088\"] \n  20 -> 31 [size =\"30425088\"]\n  20 -> 35 [size =\"30425088\"]\n  20 -> 40 [size =\"30425088\"]\n  21 [size=\"85575680\", alpha=\"0.12\", expect_size=\"42787840\"] \n  21 -> 30 [size =\"42787840\"]\n  21 -> 39 [size =\"42787840\"]\n  21 -> 40 [size =\"42787840\"]\n  22 [size=\"22943744\", alpha=\"0.13\", expect_size=\"11471872\"] \n  22 -> 30 [size =\"11471872\"]\n  22 -> 35 [size =\"11471872\"]\n  22 -> 40 [size =\"11471872\"]\n  23 [size=\"89262080\", alpha=\"0.06\", expect_size=\"44631040\"] \n  23 -> 31 [size =\"44631040\"]\n  24 [size=\"77613056\", alpha=\"0.06\", expect_size=\"38806528\"] \n  24 -> 37 [size =\"38806528\"]\n  24 -> 38 [size =\"38806528\"]\n  25 [size=\"55429120\", alpha=\"0.02\", expect_size=\"27714560\"] \n  25 -> 29 [size =\"27714560\"]\n  25 -> 34 [size =\"27714560\"]\n  25 -> 35 [size =\"27714560\"]\n  25 -> 36 [size =\"27714560\"]\n  25 -> 39 [size =\"27714560\"]\n  26 [size=\"86151168\", alpha=\"0.01\", expect_size=\"43075584\"] \n  26 -> 35 [size =\"43075584\"]\n  26 -> 37 [size =\"43075584\"]\n  26 -> 39 [size =\"43075584\"]\n  27 [size=\"37476352\", alpha=\"0.06\", expect_size=\"18738176\"] \n  27 -> 33 [size =\"18738176\"]\n  27 -> 34 [size =\"18738176\"]\n  27 -> 35 [size =\"18738176\"]\n  27 -> 37 [size =\"18738176\"]\n  28 [size=\"61917184\", alpha=\"0.03\", expect_size=\"30958592\"] \n  28 -> 34 [size =\"30958592\"]\n  29 [size=\"77617152\", alpha=\"0.13\", expect_size=\"38808576\"] \n  29 -> 42 [size =\"38808576\"]\n  29 -> 43 [size =\"38808576\"]\n  29 -> 44 [size =\"38808576\"]\n  29 -> 45 [size =\"38808576\"]\n  30 [size=\"99035136\", alpha=\"0.06\", expect_size=\"49517568\"] \n  30 -> 41 [size =\"49517568\"]\n  30 -> 42 [size =\"49517568\"]\n  30 -> 43 [size =\"49517568\"]\n  31 [size=\"97310720\", alpha=\"0.17\", expect_size=\"48655360\"] \n  31 -> 45 [size =\"48655360\"]\n  32 [size=\"59756544\", alpha=\"0.17\", expect_size=\"29878272\"] \n  32 -> 43 [size =\"29878272\"]\n  32 -> 44 [size =\"29878272\"]\n  33 [size=\"24582144\", alpha=\"0.14\", expect_size=\"12291072\"] \n  33 -> 42 [size =\"12291072\"]\n  34 [size=\"54605824\", alpha=\"0.08\", expect_size=\"27302912\"] \n  34 -> 41 [size =\"27302912\"]\n  34 -> 44 [size =\"27302912\"]\n  34 -> 45 [size =\"27302912\"]\n  35 [size=\"80834560\", alpha=\"0.04\", expect_size=\"40417280\"] \n  35 -> 41 [size =\"40417280\"]\n  35 -> 42 [size =\"40417280\"]\n  36 [size=\"89561088\", alpha=\"0.14\", expect_size=\"44780544\"] \n  36 -> 41 [size =\"44780544\"]\n  36 -> 42 [size =\"44780544\"]\n  37 [size=\"92436480\", alpha=\"0.04\", expect_size=\"46218240\"] \n  38 [size=\"25896960\", alpha=\"0.06\", expect_size=\"12948480\"] \n  38 -> 43 [size =\"12948480\"]\n  39 [size=\"42276864\", alpha=\"0.14\", expect_size=\"21138432\"] \n  39 -> 41 [size =\"21138432\"]\n  39 -> 45 [size =\"21138432\"]\n  40 [size=\"101752832\", alpha=\"0.13\", expect_size=\"50876416\"] \n  40 -> 42 [size =\"50876416\"]\n  41 [size=\"37228544\", alpha=\"0.07\", expect_size=\"18614272\"] \n  42 [size=\"23672832\", alpha=\"0.05\", expect_size=\"11836416\"] \n  43 [size=\"11520000\", alpha=\"0.18\", expect_size=\"5760000\"] \n  44 [size=\"77930496\", alpha=\"0.07\", expect_size=\"38965248\"] \n  45 [size=\"20297728\", alpha=\"0.04\", expect_size=\"10148864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33220608\", alpha=\"0.01\", expect_size=\"16610304\"] \n  2 [size=\"98138112\", alpha=\"0.10\", expect_size=\"49069056\"] \n  2 -> 4 [size =\"49069056\"]\n  2 -> 5 [size =\"49069056\"]\n  2 -> 6 [size =\"49069056\"]\n  3 [size=\"89489408\", alpha=\"0.14\", expect_size=\"44744704\"] \n  3 -> 5 [size =\"44744704\"]\n  4 [size=\"72486912\", alpha=\"0.11\", expect_size=\"36243456\"] \n  4 -> 10 [size =\"36243456\"]\n  4 -> 12 [size =\"36243456\"]\n  4 -> 14 [size =\"36243456\"]\n  5 [size=\"53569536\", alpha=\"0.18\", expect_size=\"26784768\"] \n  5 -> 13 [size =\"26784768\"]\n  5 -> 14 [size =\"26784768\"]\n  6 [size=\"56029184\", alpha=\"0.13\", expect_size=\"28014592\"] \n  6 -> 7 [size =\"28014592\"]\n  6 -> 8 [size =\"28014592\"]\n  6 -> 9 [size =\"28014592\"]\n  6 -> 11 [size =\"28014592\"]\n  7 [size=\"31275008\", alpha=\"0.15\", expect_size=\"15637504\"] \n  7 -> 16 [size =\"15637504\"]\n  7 -> 18 [size =\"15637504\"]\n  8 [size=\"44535808\", alpha=\"0.01\", expect_size=\"22267904\"] \n  8 -> 15 [size =\"22267904\"]\n  8 -> 18 [size =\"22267904\"]\n  9 [size=\"63107072\", alpha=\"0.12\", expect_size=\"31553536\"] \n  9 -> 15 [size =\"31553536\"]\n  9 -> 16 [size =\"31553536\"]\n  9 -> 18 [size =\"31553536\"]\n  10 [size=\"80130048\", alpha=\"0.13\", expect_size=\"40065024\"] \n  10 -> 17 [size =\"40065024\"]\n  11 [size=\"39911424\", alpha=\"0.09\", expect_size=\"19955712\"] \n  12 [size=\"45352960\", alpha=\"0.09\", expect_size=\"22676480\"] \n  12 -> 17 [size =\"22676480\"]\n  13 [size=\"91707392\", alpha=\"0.01\", expect_size=\"45853696\"] \n  13 -> 15 [size =\"45853696\"]\n  14 [size=\"64897024\", alpha=\"0.01\", expect_size=\"32448512\"] \n  15 [size=\"23355392\", alpha=\"0.04\", expect_size=\"11677696\"] \n  15 -> 20 [size =\"11677696\"]\n  15 -> 21 [size =\"11677696\"]\n  15 -> 22 [size =\"11677696\"]\n  16 [size=\"12963840\", alpha=\"0.19\", expect_size=\"6481920\"] \n  16 -> 20 [size =\"6481920\"]\n  16 -> 21 [size =\"6481920\"]\n  17 [size=\"73101312\", alpha=\"0.13\", expect_size=\"36550656\"] \n  17 -> 19 [size =\"36550656\"]\n  18 [size=\"49035264\", alpha=\"0.05\", expect_size=\"24517632\"] \n  18 -> 22 [size =\"24517632\"]\n  19 [size=\"55361536\", alpha=\"0.20\", expect_size=\"27680768\"] \n  19 -> 25 [size =\"27680768\"]\n  20 [size=\"18460672\", alpha=\"0.06\", expect_size=\"9230336\"] \n  20 -> 23 [size =\"9230336\"]\n  21 [size=\"81328128\", alpha=\"0.16\", expect_size=\"40664064\"] \n  21 -> 24 [size =\"40664064\"]\n  22 [size=\"28407808\", alpha=\"0.06\", expect_size=\"14203904\"] \n  22 -> 23 [size =\"14203904\"]\n  22 -> 25 [size =\"14203904\"]\n  23 [size=\"68661248\", alpha=\"0.12\", expect_size=\"34330624\"] \n  23 -> 26 [size =\"34330624\"]\n  23 -> 28 [size =\"34330624\"]\n  23 -> 30 [size =\"34330624\"]\n  23 -> 31 [size =\"34330624\"]\n  24 [size=\"71182336\", alpha=\"0.11\", expect_size=\"35591168\"] \n  24 -> 26 [size =\"35591168\"]\n  24 -> 28 [size =\"35591168\"]\n  24 -> 29 [size =\"35591168\"]\n  25 [size=\"75446272\", alpha=\"0.20\", expect_size=\"37723136\"] \n  25 -> 27 [size =\"37723136\"]\n  26 [size=\"93554688\", alpha=\"0.18\", expect_size=\"46777344\"] \n  26 -> 33 [size =\"46777344\"]\n  27 [size=\"90750976\", alpha=\"0.00\", expect_size=\"45375488\"] \n  27 -> 33 [size =\"45375488\"]\n  27 -> 35 [size =\"45375488\"]\n  28 [size=\"56225792\", alpha=\"0.10\", expect_size=\"28112896\"] \n  29 [size=\"81113088\", alpha=\"0.11\", expect_size=\"40556544\"] \n  30 [size=\"78813184\", alpha=\"0.06\", expect_size=\"39406592\"] \n  30 -> 34 [size =\"39406592\"]\n  31 [size=\"10577920\", alpha=\"0.08\", expect_size=\"5288960\"] \n  31 -> 32 [size =\"5288960\"]\n  31 -> 33 [size =\"5288960\"]\n  32 [size=\"87887872\", alpha=\"0.18\", expect_size=\"43943936\"] \n  32 -> 36 [size =\"43943936\"]\n  33 [size=\"20908032\", alpha=\"0.04\", expect_size=\"10454016\"] \n  33 -> 39 [size =\"10454016\"]\n  33 -> 40 [size =\"10454016\"]\n  33 -> 41 [size =\"10454016\"]\n  34 [size=\"77387776\", alpha=\"0.02\", expect_size=\"38693888\"] \n  34 -> 37 [size =\"38693888\"]\n  34 -> 38 [size =\"38693888\"]\n  35 [size=\"36214784\", alpha=\"0.03\", expect_size=\"18107392\"] \n  36 [size=\"34844672\", alpha=\"0.04\", expect_size=\"17422336\"] \n  36 -> 44 [size =\"17422336\"]\n  37 [size=\"24451072\", alpha=\"0.19\", expect_size=\"12225536\"] \n  37 -> 42 [size =\"12225536\"]\n  37 -> 44 [size =\"12225536\"]\n  38 [size=\"25823232\", alpha=\"0.01\", expect_size=\"12911616\"] \n  39 [size=\"73011200\", alpha=\"0.13\", expect_size=\"36505600\"] \n  39 -> 42 [size =\"36505600\"]\n  39 -> 43 [size =\"36505600\"]\n  40 [size=\"29896704\", alpha=\"0.07\", expect_size=\"14948352\"] \n  40 -> 42 [size =\"14948352\"]\n  41 [size=\"60495872\", alpha=\"0.16\", expect_size=\"30247936\"] \n  41 -> 43 [size =\"30247936\"]\n  41 -> 44 [size =\"30247936\"]\n  42 [size=\"99862528\", alpha=\"0.09\", expect_size=\"49931264\"] \n  43 [size=\"88496128\", alpha=\"0.14\", expect_size=\"44248064\"] \n  43 -> 45 [size =\"44248064\"]\n  44 [size=\"13248512\", alpha=\"0.12\", expect_size=\"6624256\"] \n  44 -> 45 [size =\"6624256\"]\n  45 [size=\"22900736\", alpha=\"0.03\", expect_size=\"11450368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68288512\", alpha=\"0.15\", expect_size=\"34144256\"] \n  1 -> 36 [size =\"34144256\"]\n  1 -> 38 [size =\"34144256\"]\n  1 -> 41 [size =\"34144256\"]\n  1 -> 42 [size =\"34144256\"]\n  1 -> 43 [size =\"34144256\"]\n  1 -> 45 [size =\"34144256\"]\n  2 [size=\"59107328\", alpha=\"0.20\", expect_size=\"29553664\"] \n  2 -> 38 [size =\"29553664\"]\n  2 -> 41 [size =\"29553664\"]\n  2 -> 41 [size =\"29553664\"]\n  2 -> 43 [size =\"29553664\"]\n  3 [size=\"55427072\", alpha=\"0.14\", expect_size=\"27713536\"] \n  3 -> 34 [size =\"27713536\"]\n  3 -> 36 [size =\"27713536\"]\n  3 -> 39 [size =\"27713536\"]\n  3 -> 40 [size =\"27713536\"]\n  3 -> 41 [size =\"27713536\"]\n  3 -> 43 [size =\"27713536\"]\n  4 [size=\"57298944\", alpha=\"0.07\", expect_size=\"28649472\"] \n  4 -> 34 [size =\"28649472\"]\n  4 -> 36 [size =\"28649472\"]\n  4 -> 40 [size =\"28649472\"]\n  4 -> 41 [size =\"28649472\"]\n  5 [size=\"45340672\", alpha=\"0.04\", expect_size=\"22670336\"] \n  5 -> 34 [size =\"22670336\"]\n  5 -> 36 [size =\"22670336\"]\n  5 -> 38 [size =\"22670336\"]\n  5 -> 40 [size =\"22670336\"]\n  5 -> 42 [size =\"22670336\"]\n  6 [size=\"65800192\", alpha=\"0.19\", expect_size=\"32900096\"] \n  6 -> 33 [size =\"32900096\"]\n  6 -> 34 [size =\"32900096\"]\n  6 -> 36 [size =\"32900096\"]\n  6 -> 42 [size =\"32900096\"]\n  6 -> 42 [size =\"32900096\"]\n  6 -> 43 [size =\"32900096\"]\n  6 -> 45 [size =\"32900096\"]\n  7 [size=\"38746112\", alpha=\"0.15\", expect_size=\"19373056\"] \n  7 -> 34 [size =\"19373056\"]\n  7 -> 38 [size =\"19373056\"]\n  7 -> 39 [size =\"19373056\"]\n  7 -> 42 [size =\"19373056\"]\n  7 -> 45 [size =\"19373056\"]\n  8 [size=\"58785792\", alpha=\"0.01\", expect_size=\"29392896\"] \n  8 -> 34 [size =\"29392896\"]\n  8 -> 37 [size =\"29392896\"]\n  8 -> 38 [size =\"29392896\"]\n  8 -> 41 [size =\"29392896\"]\n  8 -> 43 [size =\"29392896\"]\n  9 [size=\"40706048\", alpha=\"0.15\", expect_size=\"20353024\"] \n  9 -> 33 [size =\"20353024\"]\n  9 -> 34 [size =\"20353024\"]\n  9 -> 38 [size =\"20353024\"]\n  9 -> 42 [size =\"20353024\"]\n  10 [size=\"74639360\", alpha=\"0.12\", expect_size=\"37319680\"] \n  10 -> 34 [size =\"37319680\"]\n  10 -> 38 [size =\"37319680\"]\n  10 -> 39 [size =\"37319680\"]\n  10 -> 41 [size =\"37319680\"]\n  10 -> 42 [size =\"37319680\"]\n  11 [size=\"29171712\", alpha=\"0.08\", expect_size=\"14585856\"] \n  11 -> 34 [size =\"14585856\"]\n  11 -> 36 [size =\"14585856\"]\n  11 -> 38 [size =\"14585856\"]\n  11 -> 39 [size =\"14585856\"]\n  11 -> 41 [size =\"14585856\"]\n  11 -> 42 [size =\"14585856\"]\n  11 -> 43 [size =\"14585856\"]\n  11 -> 44 [size =\"14585856\"]\n  12 [size=\"98162688\", alpha=\"0.05\", expect_size=\"49081344\"] \n  12 -> 34 [size =\"49081344\"]\n  12 -> 36 [size =\"49081344\"]\n  12 -> 37 [size =\"49081344\"]\n  12 -> 40 [size =\"49081344\"]\n  12 -> 41 [size =\"49081344\"]\n  12 -> 42 [size =\"49081344\"]\n  12 -> 43 [size =\"49081344\"]\n  13 [size=\"97404928\", alpha=\"0.15\", expect_size=\"48702464\"] \n  13 -> 34 [size =\"48702464\"]\n  13 -> 36 [size =\"48702464\"]\n  13 -> 43 [size =\"48702464\"]\n  13 -> 44 [size =\"48702464\"]\n  14 [size=\"67317760\", alpha=\"0.12\", expect_size=\"33658880\"] \n  14 -> 39 [size =\"33658880\"]\n  14 -> 40 [size =\"33658880\"]\n  14 -> 43 [size =\"33658880\"]\n  14 -> 44 [size =\"33658880\"]\n  15 [size=\"102096896\", alpha=\"0.05\", expect_size=\"51048448\"] \n  15 -> 38 [size =\"51048448\"]\n  15 -> 39 [size =\"51048448\"]\n  15 -> 40 [size =\"51048448\"]\n  15 -> 42 [size =\"51048448\"]\n  15 -> 43 [size =\"51048448\"]\n  16 [size=\"27881472\", alpha=\"0.06\", expect_size=\"13940736\"] \n  16 -> 35 [size =\"13940736\"]\n  16 -> 36 [size =\"13940736\"]\n  16 -> 39 [size =\"13940736\"]\n  16 -> 40 [size =\"13940736\"]\n  16 -> 43 [size =\"13940736\"]\n  17 [size=\"22427648\", alpha=\"0.12\", expect_size=\"11213824\"] \n  17 -> 41 [size =\"11213824\"]\n  17 -> 43 [size =\"11213824\"]\n  18 [size=\"91002880\", alpha=\"0.05\", expect_size=\"45501440\"] \n  18 -> 36 [size =\"45501440\"]\n  18 -> 40 [size =\"45501440\"]\n  18 -> 44 [size =\"45501440\"]\n  19 [size=\"97316864\", alpha=\"0.15\", expect_size=\"48658432\"] \n  19 -> 41 [size =\"48658432\"]\n  19 -> 42 [size =\"48658432\"]\n  19 -> 43 [size =\"48658432\"]\n  20 [size=\"74346496\", alpha=\"0.15\", expect_size=\"37173248\"] \n  20 -> 34 [size =\"37173248\"]\n  20 -> 39 [size =\"37173248\"]\n  21 [size=\"38881280\", alpha=\"0.07\", expect_size=\"19440640\"] \n  21 -> 34 [size =\"19440640\"]\n  21 -> 36 [size =\"19440640\"]\n  21 -> 41 [size =\"19440640\"]\n  21 -> 42 [size =\"19440640\"]\n  21 -> 43 [size =\"19440640\"]\n  21 -> 44 [size =\"19440640\"]\n  22 [size=\"75556864\", alpha=\"0.09\", expect_size=\"37778432\"] \n  22 -> 34 [size =\"37778432\"]\n  22 -> 36 [size =\"37778432\"]\n  22 -> 37 [size =\"37778432\"]\n  22 -> 38 [size =\"37778432\"]\n  22 -> 40 [size =\"37778432\"]\n  22 -> 41 [size =\"37778432\"]\n  22 -> 42 [size =\"37778432\"]\n  22 -> 43 [size =\"37778432\"]\n  23 [size=\"97339392\", alpha=\"0.01\", expect_size=\"48669696\"] \n  23 -> 36 [size =\"48669696\"]\n  23 -> 40 [size =\"48669696\"]\n  23 -> 41 [size =\"48669696\"]\n  23 -> 42 [size =\"48669696\"]\n  24 [size=\"73058304\", alpha=\"0.03\", expect_size=\"36529152\"] \n  24 -> 39 [size =\"36529152\"]\n  24 -> 40 [size =\"36529152\"]\n  24 -> 41 [size =\"36529152\"]\n  24 -> 44 [size =\"36529152\"]\n  25 [size=\"33462272\", alpha=\"0.12\", expect_size=\"16731136\"] \n  25 -> 34 [size =\"16731136\"]\n  25 -> 39 [size =\"16731136\"]\n  25 -> 40 [size =\"16731136\"]\n  26 [size=\"56993792\", alpha=\"0.13\", expect_size=\"28496896\"] \n  26 -> 36 [size =\"28496896\"]\n  26 -> 37 [size =\"28496896\"]\n  26 -> 39 [size =\"28496896\"]\n  26 -> 40 [size =\"28496896\"]\n  26 -> 41 [size =\"28496896\"]\n  26 -> 42 [size =\"28496896\"]\n  26 -> 45 [size =\"28496896\"]\n  27 [size=\"83935232\", alpha=\"0.20\", expect_size=\"41967616\"] \n  27 -> 42 [size =\"41967616\"]\n  27 -> 43 [size =\"41967616\"]\n  27 -> 44 [size =\"41967616\"]\n  27 -> 45 [size =\"41967616\"]\n  28 [size=\"44040192\", alpha=\"0.17\", expect_size=\"22020096\"] \n  28 -> 34 [size =\"22020096\"]\n  28 -> 36 [size =\"22020096\"]\n  28 -> 38 [size =\"22020096\"]\n  28 -> 39 [size =\"22020096\"]\n  28 -> 40 [size =\"22020096\"]\n  28 -> 42 [size =\"22020096\"]\n  28 -> 45 [size =\"22020096\"]\n  29 [size=\"66721792\", alpha=\"0.00\", expect_size=\"33360896\"] \n  29 -> 39 [size =\"33360896\"]\n  29 -> 40 [size =\"33360896\"]\n  30 [size=\"45060096\", alpha=\"0.17\", expect_size=\"22530048\"] \n  30 -> 34 [size =\"22530048\"]\n  30 -> 37 [size =\"22530048\"]\n  30 -> 38 [size =\"22530048\"]\n  30 -> 39 [size =\"22530048\"]\n  30 -> 40 [size =\"22530048\"]\n  31 [size=\"22077440\", alpha=\"0.18\", expect_size=\"11038720\"] \n  31 -> 37 [size =\"11038720\"]\n  31 -> 38 [size =\"11038720\"]\n  31 -> 39 [size =\"11038720\"]\n  31 -> 39 [size =\"11038720\"]\n  31 -> 41 [size =\"11038720\"]\n  31 -> 43 [size =\"11038720\"]\n  32 [size=\"55576576\", alpha=\"0.18\", expect_size=\"27788288\"] \n  32 -> 38 [size =\"27788288\"]\n  32 -> 39 [size =\"27788288\"]\n  32 -> 41 [size =\"27788288\"]\n  32 -> 43 [size =\"27788288\"]\n  32 -> 45 [size =\"27788288\"]\n  33 [size=\"99807232\", alpha=\"0.16\", expect_size=\"49903616\"] \n  34 [size=\"10969088\", alpha=\"0.06\", expect_size=\"5484544\"] \n  35 [size=\"24619008\", alpha=\"0.15\", expect_size=\"12309504\"] \n  36 [size=\"81242112\", alpha=\"0.09\", expect_size=\"40621056\"] \n  37 [size=\"47407104\", alpha=\"0.04\", expect_size=\"23703552\"] \n  38 [size=\"45750272\", alpha=\"0.17\", expect_size=\"22875136\"] \n  39 [size=\"30197760\", alpha=\"0.08\", expect_size=\"15098880\"] \n  40 [size=\"30976000\", alpha=\"0.13\", expect_size=\"15488000\"] \n  41 [size=\"17862656\", alpha=\"0.04\", expect_size=\"8931328\"] \n  42 [size=\"103921664\", alpha=\"0.08\", expect_size=\"51960832\"] \n  43 [size=\"93712384\", alpha=\"0.11\", expect_size=\"46856192\"] \n  44 [size=\"74158080\", alpha=\"0.07\", expect_size=\"37079040\"] \n  45 [size=\"102088704\", alpha=\"0.08\", expect_size=\"51044352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24058880\", alpha=\"0.14\", expect_size=\"9623552\"] \n  1 -> 7 [size =\"9623552\"]\n  1 -> 9 [size =\"9623552\"]\n  1 -> 11 [size =\"9623552\"]\n  2 [size=\"51635200\", alpha=\"0.10\", expect_size=\"20654080\"] \n  2 -> 7 [size =\"20654080\"]\n  3 [size=\"55651840\", alpha=\"0.02\", expect_size=\"22260736\"] \n  4 [size=\"27783680\", alpha=\"0.06\", expect_size=\"11113472\"] \n  4 -> 8 [size =\"11113472\"]\n  4 -> 10 [size =\"11113472\"]\n  5 [size=\"66882560\", alpha=\"0.13\", expect_size=\"26753024\"] \n  5 -> 10 [size =\"26753024\"]\n  6 [size=\"103715840\", alpha=\"0.01\", expect_size=\"41486336\"] \n  6 -> 10 [size =\"41486336\"]\n  7 [size=\"102364160\", alpha=\"0.09\", expect_size=\"40945664\"] \n  8 [size=\"110750720\", alpha=\"0.01\", expect_size=\"44300288\"] \n  8 -> 12 [size =\"44300288\"]\n  8 -> 13 [size =\"44300288\"]\n  9 [size=\"33889280\", alpha=\"0.09\", expect_size=\"13555712\"] \n  9 -> 13 [size =\"13555712\"]\n  10 [size=\"105141760\", alpha=\"0.01\", expect_size=\"42056704\"] \n  10 -> 13 [size =\"42056704\"]\n  10 -> 15 [size =\"42056704\"]\n  10 -> 16 [size =\"42056704\"]\n  10 -> 17 [size =\"42056704\"]\n  11 [size=\"56527360\", alpha=\"0.14\", expect_size=\"22610944\"] \n  11 -> 14 [size =\"22610944\"]\n  11 -> 15 [size =\"22610944\"]\n  11 -> 16 [size =\"22610944\"]\n  12 [size=\"21985280\", alpha=\"0.07\", expect_size=\"8794112\"] \n  12 -> 18 [size =\"8794112\"]\n  12 -> 20 [size =\"8794112\"]\n  13 [size=\"78673920\", alpha=\"0.09\", expect_size=\"31469568\"] \n  13 -> 22 [size =\"31469568\"]\n  14 [size=\"88931840\", alpha=\"0.18\", expect_size=\"35572736\"] \n  14 -> 18 [size =\"35572736\"]\n  14 -> 22 [size =\"35572736\"]\n  15 [size=\"121733120\", alpha=\"0.06\", expect_size=\"48693248\"] \n  15 -> 21 [size =\"48693248\"]\n  16 [size=\"80076800\", alpha=\"0.19\", expect_size=\"32030720\"] \n  16 -> 19 [size =\"32030720\"]\n  16 -> 20 [size =\"32030720\"]\n  16 -> 22 [size =\"32030720\"]\n  17 [size=\"85143040\", alpha=\"0.08\", expect_size=\"34057216\"] \n  17 -> 18 [size =\"34057216\"]\n  17 -> 19 [size =\"34057216\"]\n  17 -> 20 [size =\"34057216\"]\n  18 [size=\"21726720\", alpha=\"0.13\", expect_size=\"8690688\"] \n  18 -> 25 [size =\"8690688\"]\n  18 -> 27 [size =\"8690688\"]\n  19 [size=\"27709440\", alpha=\"0.12\", expect_size=\"11083776\"] \n  19 -> 25 [size =\"11083776\"]\n  20 [size=\"81968640\", alpha=\"0.10\", expect_size=\"32787456\"] \n  20 -> 28 [size =\"32787456\"]\n  21 [size=\"85470720\", alpha=\"0.11\", expect_size=\"34188288\"] \n  21 -> 23 [size =\"34188288\"]\n  21 -> 24 [size =\"34188288\"]\n  21 -> 27 [size =\"34188288\"]\n  22 [size=\"52131840\", alpha=\"0.17\", expect_size=\"20852736\"] \n  22 -> 24 [size =\"20852736\"]\n  22 -> 24 [size =\"20852736\"]\n  22 -> 25 [size =\"20852736\"]\n  22 -> 26 [size =\"20852736\"]\n  23 [size=\"95234560\", alpha=\"0.11\", expect_size=\"38093824\"] \n  23 -> 29 [size =\"38093824\"]\n  23 -> 32 [size =\"38093824\"]\n  23 -> 34 [size =\"38093824\"]\n  23 -> 35 [size =\"38093824\"]\n  24 [size=\"31851520\", alpha=\"0.08\", expect_size=\"12740608\"] \n  24 -> 32 [size =\"12740608\"]\n  24 -> 33 [size =\"12740608\"]\n  24 -> 35 [size =\"12740608\"]\n  25 [size=\"19594240\", alpha=\"0.14\", expect_size=\"7837696\"] \n  25 -> 30 [size =\"7837696\"]\n  25 -> 33 [size =\"7837696\"]\n  25 -> 34 [size =\"7837696\"]\n  26 [size=\"56069120\", alpha=\"0.15\", expect_size=\"22427648\"] \n  26 -> 31 [size =\"22427648\"]\n  27 [size=\"49797120\", alpha=\"0.11\", expect_size=\"19918848\"] \n  28 [size=\"95347200\", alpha=\"0.04\", expect_size=\"38138880\"] \n  28 -> 32 [size =\"38138880\"]\n  29 [size=\"51192320\", alpha=\"0.20\", expect_size=\"20476928\"] \n  29 -> 38 [size =\"20476928\"]\n  29 -> 40 [size =\"20476928\"]\n  30 [size=\"120442880\", alpha=\"0.12\", expect_size=\"48177152\"] \n  30 -> 36 [size =\"48177152\"]\n  30 -> 38 [size =\"48177152\"]\n  31 [size=\"62632960\", alpha=\"0.11\", expect_size=\"25053184\"] \n  31 -> 41 [size =\"25053184\"]\n  32 [size=\"124648960\", alpha=\"0.12\", expect_size=\"49859584\"] \n  32 -> 37 [size =\"49859584\"]\n  32 -> 39 [size =\"49859584\"]\n  32 -> 41 [size =\"49859584\"]\n  33 [size=\"109089280\", alpha=\"0.03\", expect_size=\"43635712\"] \n  34 [size=\"58498560\", alpha=\"0.08\", expect_size=\"23399424\"] \n  34 -> 36 [size =\"23399424\"]\n  34 -> 40 [size =\"23399424\"]\n  34 -> 41 [size =\"23399424\"]\n  35 [size=\"105520640\", alpha=\"0.11\", expect_size=\"42208256\"] \n  35 -> 36 [size =\"42208256\"]\n  35 -> 37 [size =\"42208256\"]\n  35 -> 41 [size =\"42208256\"]\n  36 [size=\"68003840\", alpha=\"0.06\", expect_size=\"27201536\"] \n  36 -> 45 [size =\"27201536\"]\n  37 [size=\"36556800\", alpha=\"0.12\", expect_size=\"14622720\"] \n  37 -> 44 [size =\"14622720\"]\n  38 [size=\"100436480\", alpha=\"0.00\", expect_size=\"40174592\"] \n  39 [size=\"121359360\", alpha=\"0.11\", expect_size=\"48543744\"] \n  40 [size=\"120110080\", alpha=\"0.13\", expect_size=\"48044032\"] \n  40 -> 42 [size =\"48044032\"]\n  40 -> 43 [size =\"48044032\"]\n  41 [size=\"70758400\", alpha=\"0.08\", expect_size=\"28303360\"] \n  41 -> 42 [size =\"28303360\"]\n  41 -> 45 [size =\"28303360\"]\n  42 [size=\"16727040\", alpha=\"0.09\", expect_size=\"6690816\"] \n  43 [size=\"84858880\", alpha=\"0.04\", expect_size=\"33943552\"] \n  44 [size=\"104793600\", alpha=\"0.02\", expect_size=\"41917440\"] \n  45 [size=\"34388480\", alpha=\"0.02\", expect_size=\"13755392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62201856\", alpha=\"0.18\", expect_size=\"31100928\"] \n  1 -> 26 [size =\"31100928\"]\n  1 -> 27 [size =\"31100928\"]\n  1 -> 29 [size =\"31100928\"]\n  1 -> 30 [size =\"31100928\"]\n  1 -> 31 [size =\"31100928\"]\n  1 -> 36 [size =\"31100928\"]\n  1 -> 37 [size =\"31100928\"]\n  1 -> 41 [size =\"31100928\"]\n  2 [size=\"85028864\", alpha=\"0.14\", expect_size=\"42514432\"] \n  2 -> 31 [size =\"42514432\"]\n  2 -> 34 [size =\"42514432\"]\n  2 -> 36 [size =\"42514432\"]\n  2 -> 38 [size =\"42514432\"]\n  2 -> 41 [size =\"42514432\"]\n  3 [size=\"43958272\", alpha=\"0.13\", expect_size=\"21979136\"] \n  3 -> 26 [size =\"21979136\"]\n  3 -> 31 [size =\"21979136\"]\n  3 -> 33 [size =\"21979136\"]\n  3 -> 35 [size =\"21979136\"]\n  3 -> 36 [size =\"21979136\"]\n  3 -> 37 [size =\"21979136\"]\n  4 [size=\"99926016\", alpha=\"0.17\", expect_size=\"49963008\"] \n  4 -> 25 [size =\"49963008\"]\n  4 -> 31 [size =\"49963008\"]\n  4 -> 33 [size =\"49963008\"]\n  4 -> 36 [size =\"49963008\"]\n  4 -> 38 [size =\"49963008\"]\n  4 -> 39 [size =\"49963008\"]\n  4 -> 41 [size =\"49963008\"]\n  4 -> 43 [size =\"49963008\"]\n  5 [size=\"58902528\", alpha=\"0.03\", expect_size=\"29451264\"] \n  5 -> 28 [size =\"29451264\"]\n  5 -> 33 [size =\"29451264\"]\n  5 -> 35 [size =\"29451264\"]\n  5 -> 38 [size =\"29451264\"]\n  5 -> 41 [size =\"29451264\"]\n  6 [size=\"87468032\", alpha=\"0.12\", expect_size=\"43734016\"] \n  6 -> 26 [size =\"43734016\"]\n  6 -> 38 [size =\"43734016\"]\n  7 [size=\"12068864\", alpha=\"0.10\", expect_size=\"6034432\"] \n  7 -> 26 [size =\"6034432\"]\n  7 -> 30 [size =\"6034432\"]\n  7 -> 32 [size =\"6034432\"]\n  7 -> 33 [size =\"6034432\"]\n  7 -> 36 [size =\"6034432\"]\n  7 -> 37 [size =\"6034432\"]\n  7 -> 39 [size =\"6034432\"]\n  7 -> 41 [size =\"6034432\"]\n  8 [size=\"66281472\", alpha=\"0.04\", expect_size=\"33140736\"] \n  8 -> 25 [size =\"33140736\"]\n  8 -> 26 [size =\"33140736\"]\n  8 -> 35 [size =\"33140736\"]\n  8 -> 37 [size =\"33140736\"]\n  9 [size=\"88242176\", alpha=\"0.09\", expect_size=\"44121088\"] \n  9 -> 26 [size =\"44121088\"]\n  9 -> 28 [size =\"44121088\"]\n  9 -> 32 [size =\"44121088\"]\n  9 -> 34 [size =\"44121088\"]\n  9 -> 38 [size =\"44121088\"]\n  9 -> 39 [size =\"44121088\"]\n  9 -> 44 [size =\"44121088\"]\n  10 [size=\"54308864\", alpha=\"0.13\", expect_size=\"27154432\"] \n  10 -> 26 [size =\"27154432\"]\n  10 -> 32 [size =\"27154432\"]\n  10 -> 36 [size =\"27154432\"]\n  10 -> 44 [size =\"27154432\"]\n  11 [size=\"85084160\", alpha=\"0.02\", expect_size=\"42542080\"] \n  11 -> 26 [size =\"42542080\"]\n  11 -> 32 [size =\"42542080\"]\n  11 -> 36 [size =\"42542080\"]\n  11 -> 38 [size =\"42542080\"]\n  11 -> 39 [size =\"42542080\"]\n  11 -> 40 [size =\"42542080\"]\n  12 [size=\"75866112\", alpha=\"0.16\", expect_size=\"37933056\"] \n  12 -> 25 [size =\"37933056\"]\n  12 -> 29 [size =\"37933056\"]\n  12 -> 30 [size =\"37933056\"]\n  12 -> 32 [size =\"37933056\"]\n  12 -> 34 [size =\"37933056\"]\n  12 -> 35 [size =\"37933056\"]\n  12 -> 36 [size =\"37933056\"]\n  12 -> 39 [size =\"37933056\"]\n  13 [size=\"47837184\", alpha=\"0.00\", expect_size=\"23918592\"] \n  13 -> 35 [size =\"23918592\"]\n  13 -> 40 [size =\"23918592\"]\n  14 [size=\"14780416\", alpha=\"0.02\", expect_size=\"7390208\"] \n  14 -> 25 [size =\"7390208\"]\n  14 -> 27 [size =\"7390208\"]\n  14 -> 29 [size =\"7390208\"]\n  14 -> 37 [size =\"7390208\"]\n  14 -> 38 [size =\"7390208\"]\n  14 -> 39 [size =\"7390208\"]\n  14 -> 40 [size =\"7390208\"]\n  14 -> 44 [size =\"7390208\"]\n  15 [size=\"94371840\", alpha=\"0.11\", expect_size=\"47185920\"] \n  15 -> 25 [size =\"47185920\"]\n  15 -> 27 [size =\"47185920\"]\n  15 -> 31 [size =\"47185920\"]\n  15 -> 32 [size =\"47185920\"]\n  15 -> 33 [size =\"47185920\"]\n  15 -> 37 [size =\"47185920\"]\n  15 -> 39 [size =\"47185920\"]\n  15 -> 40 [size =\"47185920\"]\n  16 [size=\"14415872\", alpha=\"0.13\", expect_size=\"7207936\"] \n  16 -> 27 [size =\"7207936\"]\n  16 -> 30 [size =\"7207936\"]\n  16 -> 32 [size =\"7207936\"]\n  16 -> 33 [size =\"7207936\"]\n  16 -> 37 [size =\"7207936\"]\n  16 -> 40 [size =\"7207936\"]\n  17 [size=\"71112704\", alpha=\"0.04\", expect_size=\"35556352\"] \n  17 -> 27 [size =\"35556352\"]\n  17 -> 35 [size =\"35556352\"]\n  17 -> 37 [size =\"35556352\"]\n  18 [size=\"24965120\", alpha=\"0.14\", expect_size=\"12482560\"] \n  18 -> 34 [size =\"12482560\"]\n  18 -> 35 [size =\"12482560\"]\n  18 -> 36 [size =\"12482560\"]\n  19 [size=\"41705472\", alpha=\"0.17\", expect_size=\"20852736\"] \n  19 -> 33 [size =\"20852736\"]\n  19 -> 39 [size =\"20852736\"]\n  19 -> 40 [size =\"20852736\"]\n  19 -> 43 [size =\"20852736\"]\n  20 [size=\"84862976\", alpha=\"0.06\", expect_size=\"42431488\"] \n  20 -> 26 [size =\"42431488\"]\n  20 -> 27 [size =\"42431488\"]\n  20 -> 31 [size =\"42431488\"]\n  20 -> 32 [size =\"42431488\"]\n  20 -> 35 [size =\"42431488\"]\n  20 -> 36 [size =\"42431488\"]\n  20 -> 37 [size =\"42431488\"]\n  20 -> 39 [size =\"42431488\"]\n  20 -> 42 [size =\"42431488\"]\n  21 [size=\"50196480\", alpha=\"0.06\", expect_size=\"25098240\"] \n  21 -> 31 [size =\"25098240\"]\n  21 -> 32 [size =\"25098240\"]\n  21 -> 33 [size =\"25098240\"]\n  21 -> 35 [size =\"25098240\"]\n  21 -> 35 [size =\"25098240\"]\n  21 -> 37 [size =\"25098240\"]\n  21 -> 44 [size =\"25098240\"]\n  22 [size=\"60157952\", alpha=\"0.02\", expect_size=\"30078976\"] \n  22 -> 27 [size =\"30078976\"]\n  22 -> 28 [size =\"30078976\"]\n  22 -> 29 [size =\"30078976\"]\n  22 -> 33 [size =\"30078976\"]\n  22 -> 37 [size =\"30078976\"]\n  22 -> 41 [size =\"30078976\"]\n  22 -> 44 [size =\"30078976\"]\n  23 [size=\"39811072\", alpha=\"0.05\", expect_size=\"19905536\"] \n  23 -> 29 [size =\"19905536\"]\n  23 -> 33 [size =\"19905536\"]\n  23 -> 35 [size =\"19905536\"]\n  23 -> 36 [size =\"19905536\"]\n  23 -> 41 [size =\"19905536\"]\n  24 [size=\"40886272\", alpha=\"0.06\", expect_size=\"20443136\"] \n  24 -> 25 [size =\"20443136\"]\n  24 -> 26 [size =\"20443136\"]\n  24 -> 27 [size =\"20443136\"]\n  24 -> 29 [size =\"20443136\"]\n  24 -> 33 [size =\"20443136\"]\n  24 -> 36 [size =\"20443136\"]\n  24 -> 44 [size =\"20443136\"]\n  25 [size=\"49977344\", alpha=\"0.18\", expect_size=\"24988672\"] \n  26 [size=\"101621760\", alpha=\"0.07\", expect_size=\"50810880\"] \n  26 -> 45 [size =\"50810880\"]\n  27 [size=\"68544512\", alpha=\"0.16\", expect_size=\"34272256\"] \n  28 [size=\"87621632\", alpha=\"0.16\", expect_size=\"43810816\"] \n  29 [size=\"59623424\", alpha=\"0.13\", expect_size=\"29811712\"] \n  30 [size=\"45430784\", alpha=\"0.19\", expect_size=\"22715392\"] \n  30 -> 45 [size =\"22715392\"]\n  31 [size=\"73728000\", alpha=\"0.02\", expect_size=\"36864000\"] \n  31 -> 45 [size =\"36864000\"]\n  32 [size=\"101857280\", alpha=\"0.18\", expect_size=\"50928640\"] \n  33 [size=\"15622144\", alpha=\"0.01\", expect_size=\"7811072\"] \n  34 [size=\"37234688\", alpha=\"0.06\", expect_size=\"18617344\"] \n  35 [size=\"67395584\", alpha=\"0.09\", expect_size=\"33697792\"] \n  36 [size=\"60147712\", alpha=\"0.12\", expect_size=\"30073856\"] \n  36 -> 45 [size =\"30073856\"]\n  37 [size=\"92477440\", alpha=\"0.09\", expect_size=\"46238720\"] \n  37 -> 45 [size =\"46238720\"]\n  38 [size=\"71596032\", alpha=\"0.08\", expect_size=\"35798016\"] \n  39 [size=\"53301248\", alpha=\"0.14\", expect_size=\"26650624\"] \n  40 [size=\"20977664\", alpha=\"0.16\", expect_size=\"10488832\"] \n  41 [size=\"18450432\", alpha=\"0.06\", expect_size=\"9225216\"] \n  42 [size=\"25946112\", alpha=\"0.06\", expect_size=\"12973056\"] \n  43 [size=\"14473216\", alpha=\"0.13\", expect_size=\"7236608\"] \n  44 [size=\"21387264\", alpha=\"0.07\", expect_size=\"10693632\"] \n  45 [size=\"50982912\", alpha=\"0.08\", expect_size=\"25491456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53452800\", alpha=\"0.00\", expect_size=\"21381120\"] \n  1 -> 13 [size =\"21381120\"]\n  1 -> 15 [size =\"21381120\"]\n  1 -> 16 [size =\"21381120\"]\n  1 -> 19 [size =\"21381120\"]\n  2 [size=\"103984640\", alpha=\"0.11\", expect_size=\"41593856\"] \n  2 -> 11 [size =\"41593856\"]\n  2 -> 13 [size =\"41593856\"]\n  2 -> 15 [size =\"41593856\"]\n  2 -> 16 [size =\"41593856\"]\n  3 [size=\"101345280\", alpha=\"0.15\", expect_size=\"40538112\"] \n  3 -> 11 [size =\"40538112\"]\n  3 -> 16 [size =\"40538112\"]\n  4 [size=\"35678720\", alpha=\"0.09\", expect_size=\"14271488\"] \n  4 -> 13 [size =\"14271488\"]\n  4 -> 14 [size =\"14271488\"]\n  4 -> 15 [size =\"14271488\"]\n  4 -> 19 [size =\"14271488\"]\n  5 [size=\"50626560\", alpha=\"0.04\", expect_size=\"20250624\"] \n  5 -> 12 [size =\"20250624\"]\n  5 -> 13 [size =\"20250624\"]\n  5 -> 15 [size =\"20250624\"]\n  5 -> 17 [size =\"20250624\"]\n  6 [size=\"63984640\", alpha=\"0.03\", expect_size=\"25593856\"] \n  6 -> 14 [size =\"25593856\"]\n  6 -> 17 [size =\"25593856\"]\n  6 -> 18 [size =\"25593856\"]\n  7 [size=\"126999040\", alpha=\"0.11\", expect_size=\"50799616\"] \n  7 -> 15 [size =\"50799616\"]\n  7 -> 17 [size =\"50799616\"]\n  8 [size=\"127454720\", alpha=\"0.15\", expect_size=\"50981888\"] \n  8 -> 13 [size =\"50981888\"]\n  8 -> 14 [size =\"50981888\"]\n  8 -> 15 [size =\"50981888\"]\n  8 -> 17 [size =\"50981888\"]\n  9 [size=\"53672960\", alpha=\"0.04\", expect_size=\"21469184\"] \n  10 [size=\"56542720\", alpha=\"0.03\", expect_size=\"22617088\"] \n  10 -> 13 [size =\"22617088\"]\n  10 -> 14 [size =\"22617088\"]\n  11 [size=\"79278080\", alpha=\"0.10\", expect_size=\"31711232\"] \n  11 -> 21 [size =\"31711232\"]\n  11 -> 23 [size =\"31711232\"]\n  11 -> 26 [size =\"31711232\"]\n  11 -> 30 [size =\"31711232\"]\n  11 -> 31 [size =\"31711232\"]\n  11 -> 35 [size =\"31711232\"]\n  12 [size=\"81338880\", alpha=\"0.16\", expect_size=\"32535552\"] \n  12 -> 21 [size =\"32535552\"]\n  12 -> 23 [size =\"32535552\"]\n  12 -> 30 [size =\"32535552\"]\n  12 -> 30 [size =\"32535552\"]\n  13 [size=\"25984000\", alpha=\"0.06\", expect_size=\"10393600\"] \n  13 -> 21 [size =\"10393600\"]\n  13 -> 23 [size =\"10393600\"]\n  13 -> 34 [size =\"10393600\"]\n  14 [size=\"115458560\", alpha=\"0.13\", expect_size=\"46183424\"] \n  14 -> 23 [size =\"46183424\"]\n  14 -> 27 [size =\"46183424\"]\n  14 -> 28 [size =\"46183424\"]\n  14 -> 30 [size =\"46183424\"]\n  14 -> 32 [size =\"46183424\"]\n  14 -> 33 [size =\"46183424\"]\n  14 -> 36 [size =\"46183424\"]\n  15 [size=\"49643520\", alpha=\"0.16\", expect_size=\"19857408\"] \n  15 -> 23 [size =\"19857408\"]\n  15 -> 24 [size =\"19857408\"]\n  15 -> 28 [size =\"19857408\"]\n  15 -> 31 [size =\"19857408\"]\n  15 -> 35 [size =\"19857408\"]\n  16 [size=\"74867200\", alpha=\"0.01\", expect_size=\"29946880\"] \n  16 -> 21 [size =\"29946880\"]\n  16 -> 23 [size =\"29946880\"]\n  16 -> 26 [size =\"29946880\"]\n  16 -> 28 [size =\"29946880\"]\n  16 -> 34 [size =\"29946880\"]\n  16 -> 36 [size =\"29946880\"]\n  17 [size=\"91271680\", alpha=\"0.16\", expect_size=\"36508672\"] \n  17 -> 22 [size =\"36508672\"]\n  17 -> 25 [size =\"36508672\"]\n  17 -> 26 [size =\"36508672\"]\n  17 -> 28 [size =\"36508672\"]\n  17 -> 30 [size =\"36508672\"]\n  17 -> 31 [size =\"36508672\"]\n  18 [size=\"40151040\", alpha=\"0.08\", expect_size=\"16060416\"] \n  18 -> 21 [size =\"16060416\"]\n  18 -> 26 [size =\"16060416\"]\n  18 -> 26 [size =\"16060416\"]\n  18 -> 29 [size =\"16060416\"]\n  18 -> 30 [size =\"16060416\"]\n  18 -> 31 [size =\"16060416\"]\n  18 -> 34 [size =\"16060416\"]\n  18 -> 35 [size =\"16060416\"]\n  18 -> 36 [size =\"16060416\"]\n  19 [size=\"126714880\", alpha=\"0.10\", expect_size=\"50685952\"] \n  19 -> 20 [size =\"50685952\"]\n  19 -> 21 [size =\"50685952\"]\n  19 -> 28 [size =\"50685952\"]\n  19 -> 29 [size =\"50685952\"]\n  19 -> 31 [size =\"50685952\"]\n  19 -> 35 [size =\"50685952\"]\n  20 [size=\"34488320\", alpha=\"0.12\", expect_size=\"13795328\"] \n  20 -> 40 [size =\"13795328\"]\n  21 [size=\"52508160\", alpha=\"0.01\", expect_size=\"21003264\"] \n  21 -> 37 [size =\"21003264\"]\n  21 -> 38 [size =\"21003264\"]\n  22 [size=\"111508480\", alpha=\"0.05\", expect_size=\"44603392\"] \n  22 -> 37 [size =\"44603392\"]\n  22 -> 39 [size =\"44603392\"]\n  22 -> 44 [size =\"44603392\"]\n  23 [size=\"90022400\", alpha=\"0.04\", expect_size=\"36008960\"] \n  23 -> 39 [size =\"36008960\"]\n  24 [size=\"124869120\", alpha=\"0.07\", expect_size=\"49947648\"] \n  24 -> 38 [size =\"49947648\"]\n  24 -> 40 [size =\"49947648\"]\n  24 -> 41 [size =\"49947648\"]\n  24 -> 43 [size =\"49947648\"]\n  25 [size=\"80793600\", alpha=\"0.16\", expect_size=\"32317440\"] \n  25 -> 37 [size =\"32317440\"]\n  25 -> 38 [size =\"32317440\"]\n  25 -> 40 [size =\"32317440\"]\n  25 -> 43 [size =\"32317440\"]\n  26 [size=\"58654720\", alpha=\"0.14\", expect_size=\"23461888\"] \n  26 -> 39 [size =\"23461888\"]\n  26 -> 40 [size =\"23461888\"]\n  26 -> 43 [size =\"23461888\"]\n  27 [size=\"66065920\", alpha=\"0.11\", expect_size=\"26426368\"] \n  27 -> 37 [size =\"26426368\"]\n  27 -> 38 [size =\"26426368\"]\n  27 -> 43 [size =\"26426368\"]\n  28 [size=\"45009920\", alpha=\"0.08\", expect_size=\"18003968\"] \n  28 -> 45 [size =\"18003968\"]\n  29 [size=\"95063040\", alpha=\"0.11\", expect_size=\"38025216\"] \n  30 [size=\"37944320\", alpha=\"0.02\", expect_size=\"15177728\"] \n  30 -> 37 [size =\"15177728\"]\n  30 -> 41 [size =\"15177728\"]\n  31 [size=\"109849600\", alpha=\"0.04\", expect_size=\"43939840\"] \n  31 -> 43 [size =\"43939840\"]\n  32 [size=\"115197440\", alpha=\"0.18\", expect_size=\"46078976\"] \n  33 [size=\"26897920\", alpha=\"0.14\", expect_size=\"10759168\"] \n  33 -> 40 [size =\"10759168\"]\n  33 -> 42 [size =\"10759168\"]\n  34 [size=\"51156480\", alpha=\"0.07\", expect_size=\"20462592\"] \n  34 -> 37 [size =\"20462592\"]\n  34 -> 39 [size =\"20462592\"]\n  34 -> 40 [size =\"20462592\"]\n  34 -> 41 [size =\"20462592\"]\n  35 [size=\"92579840\", alpha=\"0.06\", expect_size=\"37031936\"] \n  35 -> 37 [size =\"37031936\"]\n  35 -> 40 [size =\"37031936\"]\n  35 -> 43 [size =\"37031936\"]\n  36 [size=\"70725120\", alpha=\"0.16\", expect_size=\"28290048\"] \n  36 -> 37 [size =\"28290048\"]\n  36 -> 38 [size =\"28290048\"]\n  36 -> 39 [size =\"28290048\"]\n  37 [size=\"36469760\", alpha=\"0.19\", expect_size=\"14587904\"] \n  38 [size=\"103705600\", alpha=\"0.07\", expect_size=\"41482240\"] \n  39 [size=\"32893440\", alpha=\"0.14\", expect_size=\"13157376\"] \n  40 [size=\"100520960\", alpha=\"0.04\", expect_size=\"40208384\"] \n  41 [size=\"114101760\", alpha=\"0.02\", expect_size=\"45640704\"] \n  42 [size=\"21839360\", alpha=\"0.15\", expect_size=\"8735744\"] \n  43 [size=\"127895040\", alpha=\"0.02\", expect_size=\"51158016\"] \n  44 [size=\"91253760\", alpha=\"0.08\", expect_size=\"36501504\"] \n  45 [size=\"14266880\", alpha=\"0.06\", expect_size=\"5706752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23590400\", alpha=\"0.18\", expect_size=\"9436160\"] \n  1 -> 4 [size =\"9436160\"]\n  2 [size=\"99717120\", alpha=\"0.20\", expect_size=\"39886848\"] \n  3 [size=\"73308160\", alpha=\"0.10\", expect_size=\"29323264\"] \n  3 -> 5 [size =\"29323264\"]\n  3 -> 6 [size =\"29323264\"]\n  4 [size=\"25702400\", alpha=\"0.14\", expect_size=\"10280960\"] \n  4 -> 7 [size =\"10280960\"]\n  4 -> 8 [size =\"10280960\"]\n  5 [size=\"63751680\", alpha=\"0.11\", expect_size=\"25500672\"] \n  5 -> 8 [size =\"25500672\"]\n  6 [size=\"68055040\", alpha=\"0.05\", expect_size=\"27222016\"] \n  7 [size=\"101701120\", alpha=\"0.02\", expect_size=\"40680448\"] \n  7 -> 11 [size =\"40680448\"]\n  8 [size=\"33794560\", alpha=\"0.07\", expect_size=\"13517824\"] \n  8 -> 9 [size =\"13517824\"]\n  8 -> 10 [size =\"13517824\"]\n  9 [size=\"127744000\", alpha=\"0.13\", expect_size=\"51097600\"] \n  9 -> 12 [size =\"51097600\"]\n  9 -> 14 [size =\"51097600\"]\n  10 [size=\"46172160\", alpha=\"0.16\", expect_size=\"18468864\"] \n  10 -> 13 [size =\"18468864\"]\n  10 -> 14 [size =\"18468864\"]\n  11 [size=\"129694720\", alpha=\"0.11\", expect_size=\"51877888\"] \n  11 -> 13 [size =\"51877888\"]\n  12 [size=\"116454400\", alpha=\"0.19\", expect_size=\"46581760\"] \n  12 -> 15 [size =\"46581760\"]\n  13 [size=\"115532800\", alpha=\"0.17\", expect_size=\"46213120\"] \n  13 -> 16 [size =\"46213120\"]\n  14 [size=\"57981440\", alpha=\"0.07\", expect_size=\"23192576\"] \n  14 -> 16 [size =\"23192576\"]\n  15 [size=\"23426560\", alpha=\"0.12\", expect_size=\"9370624\"] \n  15 -> 17 [size =\"9370624\"]\n  16 [size=\"86323200\", alpha=\"0.14\", expect_size=\"34529280\"] \n  16 -> 18 [size =\"34529280\"]\n  17 [size=\"114677760\", alpha=\"0.20\", expect_size=\"45871104\"] \n  17 -> 19 [size =\"45871104\"]\n  17 -> 20 [size =\"45871104\"]\n  17 -> 21 [size =\"45871104\"]\n  18 [size=\"126133760\", alpha=\"0.20\", expect_size=\"50453504\"] \n  19 [size=\"50575360\", alpha=\"0.11\", expect_size=\"20230144\"] \n  19 -> 22 [size =\"20230144\"]\n  19 -> 23 [size =\"20230144\"]\n  20 [size=\"127096320\", alpha=\"0.09\", expect_size=\"50838528\"] \n  21 [size=\"106191360\", alpha=\"0.09\", expect_size=\"42476544\"] \n  21 -> 22 [size =\"42476544\"]\n  21 -> 23 [size =\"42476544\"]\n  22 [size=\"55331840\", alpha=\"0.04\", expect_size=\"22132736\"] \n  22 -> 25 [size =\"22132736\"]\n  23 [size=\"46942720\", alpha=\"0.09\", expect_size=\"18777088\"] \n  23 -> 24 [size =\"18777088\"]\n  23 -> 26 [size =\"18777088\"]\n  24 [size=\"28433920\", alpha=\"0.16\", expect_size=\"11373568\"] \n  24 -> 28 [size =\"11373568\"]\n  25 [size=\"70312960\", alpha=\"0.11\", expect_size=\"28125184\"] \n  25 -> 27 [size =\"28125184\"]\n  26 [size=\"23598080\", alpha=\"0.16\", expect_size=\"9439232\"] \n  26 -> 27 [size =\"9439232\"]\n  27 [size=\"103936000\", alpha=\"0.16\", expect_size=\"41574400\"] \n  27 -> 31 [size =\"41574400\"]\n  28 [size=\"102965760\", alpha=\"0.19\", expect_size=\"41186304\"] \n  28 -> 29 [size =\"41186304\"]\n  28 -> 30 [size =\"41186304\"]\n  29 [size=\"102453760\", alpha=\"0.02\", expect_size=\"40981504\"] \n  29 -> 34 [size =\"40981504\"]\n  30 [size=\"49651200\", alpha=\"0.11\", expect_size=\"19860480\"] \n  31 [size=\"103994880\", alpha=\"0.19\", expect_size=\"41597952\"] \n  31 -> 32 [size =\"41597952\"]\n  31 -> 33 [size =\"41597952\"]\n  32 [size=\"40043520\", alpha=\"0.05\", expect_size=\"16017408\"] \n  32 -> 36 [size =\"16017408\"]\n  33 [size=\"62366720\", alpha=\"0.08\", expect_size=\"24946688\"] \n  34 [size=\"113205760\", alpha=\"0.18\", expect_size=\"45282304\"] \n  34 -> 35 [size =\"45282304\"]\n  34 -> 36 [size =\"45282304\"]\n  35 [size=\"87193600\", alpha=\"0.11\", expect_size=\"34877440\"] \n  35 -> 38 [size =\"34877440\"]\n  36 [size=\"34974720\", alpha=\"0.16\", expect_size=\"13989888\"] \n  36 -> 37 [size =\"13989888\"]\n  37 [size=\"129459200\", alpha=\"0.18\", expect_size=\"51783680\"] \n  38 [size=\"105354240\", alpha=\"0.19\", expect_size=\"42141696\"] \n  38 -> 39 [size =\"42141696\"]\n  38 -> 40 [size =\"42141696\"]\n  39 [size=\"101309440\", alpha=\"0.07\", expect_size=\"40523776\"] \n  39 -> 41 [size =\"40523776\"]\n  40 [size=\"113999360\", alpha=\"0.14\", expect_size=\"45599744\"] \n  40 -> 42 [size =\"45599744\"]\n  41 [size=\"58526720\", alpha=\"0.16\", expect_size=\"23410688\"] \n  41 -> 43 [size =\"23410688\"]\n  41 -> 45 [size =\"23410688\"]\n  42 [size=\"51476480\", alpha=\"0.06\", expect_size=\"20590592\"] \n  42 -> 44 [size =\"20590592\"]\n  43 [size=\"78233600\", alpha=\"0.02\", expect_size=\"31293440\"] \n  44 [size=\"123256320\", alpha=\"0.20\", expect_size=\"49302528\"] \n  45 [size=\"113459200\", alpha=\"0.08\", expect_size=\"45383680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102699008\", alpha=\"0.01\", expect_size=\"51349504\"] \n  1 -> 6 [size =\"51349504\"]\n  2 [size=\"43022336\", alpha=\"0.15\", expect_size=\"21511168\"] \n  2 -> 5 [size =\"21511168\"]\n  3 [size=\"55017472\", alpha=\"0.19\", expect_size=\"27508736\"] \n  3 -> 4 [size =\"27508736\"]\n  4 [size=\"57698304\", alpha=\"0.07\", expect_size=\"28849152\"] \n  4 -> 8 [size =\"28849152\"]\n  5 [size=\"25952256\", alpha=\"0.20\", expect_size=\"12976128\"] \n  5 -> 7 [size =\"12976128\"]\n  6 [size=\"39315456\", alpha=\"0.11\", expect_size=\"19657728\"] \n  7 [size=\"60688384\", alpha=\"0.10\", expect_size=\"30344192\"] \n  7 -> 10 [size =\"30344192\"]\n  8 [size=\"16775168\", alpha=\"0.06\", expect_size=\"8387584\"] \n  8 -> 9 [size =\"8387584\"]\n  8 -> 11 [size =\"8387584\"]\n  9 [size=\"75212800\", alpha=\"0.13\", expect_size=\"37606400\"] \n  9 -> 12 [size =\"37606400\"]\n  10 [size=\"102608896\", alpha=\"0.04\", expect_size=\"51304448\"] \n  10 -> 13 [size =\"51304448\"]\n  10 -> 14 [size =\"51304448\"]\n  11 [size=\"77565952\", alpha=\"0.15\", expect_size=\"38782976\"] \n  11 -> 13 [size =\"38782976\"]\n  12 [size=\"80390144\", alpha=\"0.11\", expect_size=\"40195072\"] \n  12 -> 15 [size =\"40195072\"]\n  13 [size=\"55013376\", alpha=\"0.08\", expect_size=\"27506688\"] \n  13 -> 16 [size =\"27506688\"]\n  14 [size=\"48168960\", alpha=\"0.12\", expect_size=\"24084480\"] \n  15 [size=\"79267840\", alpha=\"0.15\", expect_size=\"39633920\"] \n  16 [size=\"77436928\", alpha=\"0.18\", expect_size=\"38718464\"] \n  16 -> 17 [size =\"38718464\"]\n  16 -> 18 [size =\"38718464\"]\n  17 [size=\"35395584\", alpha=\"0.09\", expect_size=\"17697792\"] \n  18 [size=\"82573312\", alpha=\"0.18\", expect_size=\"41286656\"] \n  18 -> 19 [size =\"41286656\"]\n  18 -> 20 [size =\"41286656\"]\n  18 -> 21 [size =\"41286656\"]\n  19 [size=\"14594048\", alpha=\"0.14\", expect_size=\"7297024\"] \n  20 [size=\"77899776\", alpha=\"0.15\", expect_size=\"38949888\"] \n  20 -> 22 [size =\"38949888\"]\n  21 [size=\"97394688\", alpha=\"0.16\", expect_size=\"48697344\"] \n  21 -> 23 [size =\"48697344\"]\n  21 -> 24 [size =\"48697344\"]\n  22 [size=\"76142592\", alpha=\"0.04\", expect_size=\"38071296\"] \n  22 -> 25 [size =\"38071296\"]\n  23 [size=\"32651264\", alpha=\"0.01\", expect_size=\"16325632\"] \n  23 -> 26 [size =\"16325632\"]\n  23 -> 27 [size =\"16325632\"]\n  24 [size=\"71426048\", alpha=\"0.08\", expect_size=\"35713024\"] \n  24 -> 25 [size =\"35713024\"]\n  25 [size=\"34353152\", alpha=\"0.19\", expect_size=\"17176576\"] \n  25 -> 28 [size =\"17176576\"]\n  26 [size=\"11491328\", alpha=\"0.16\", expect_size=\"5745664\"] \n  26 -> 28 [size =\"5745664\"]\n  26 -> 29 [size =\"5745664\"]\n  26 -> 30 [size =\"5745664\"]\n  27 [size=\"94279680\", alpha=\"0.03\", expect_size=\"47139840\"] \n  27 -> 30 [size =\"47139840\"]\n  28 [size=\"42690560\", alpha=\"0.11\", expect_size=\"21345280\"] \n  28 -> 31 [size =\"21345280\"]\n  29 [size=\"32585728\", alpha=\"0.14\", expect_size=\"16292864\"] \n  29 -> 32 [size =\"16292864\"]\n  29 -> 33 [size =\"16292864\"]\n  30 [size=\"97632256\", alpha=\"0.16\", expect_size=\"48816128\"] \n  31 [size=\"74788864\", alpha=\"0.12\", expect_size=\"37394432\"] \n  31 -> 34 [size =\"37394432\"]\n  32 [size=\"56270848\", alpha=\"0.03\", expect_size=\"28135424\"] \n  32 -> 35 [size =\"28135424\"]\n  33 [size=\"74614784\", alpha=\"0.03\", expect_size=\"37307392\"] \n  33 -> 34 [size =\"37307392\"]\n  33 -> 35 [size =\"37307392\"]\n  34 [size=\"79980544\", alpha=\"0.11\", expect_size=\"39990272\"] \n  34 -> 36 [size =\"39990272\"]\n  34 -> 37 [size =\"39990272\"]\n  35 [size=\"25208832\", alpha=\"0.14\", expect_size=\"12604416\"] \n  36 [size=\"20142080\", alpha=\"0.11\", expect_size=\"10071040\"] \n  36 -> 38 [size =\"10071040\"]\n  36 -> 39 [size =\"10071040\"]\n  37 [size=\"93607936\", alpha=\"0.14\", expect_size=\"46803968\"] \n  38 [size=\"12695552\", alpha=\"0.11\", expect_size=\"6347776\"] \n  39 [size=\"66809856\", alpha=\"0.10\", expect_size=\"33404928\"] \n  39 -> 40 [size =\"33404928\"]\n  39 -> 41 [size =\"33404928\"]\n  40 [size=\"37564416\", alpha=\"0.03\", expect_size=\"18782208\"] \n  40 -> 43 [size =\"18782208\"]\n  40 -> 44 [size =\"18782208\"]\n  41 [size=\"17084416\", alpha=\"0.14\", expect_size=\"8542208\"] \n  41 -> 42 [size =\"8542208\"]\n  42 [size=\"72448000\", alpha=\"0.19\", expect_size=\"36224000\"] \n  43 [size=\"84819968\", alpha=\"0.09\", expect_size=\"42409984\"] \n  43 -> 45 [size =\"42409984\"]\n  44 [size=\"98725888\", alpha=\"0.11\", expect_size=\"49362944\"] \n  45 [size=\"57481216\", alpha=\"0.19\", expect_size=\"28740608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135239680\", alpha=\"0.19\", expect_size=\"40571904\"] \n  1 -> 43 [size =\"40571904\"]\n  2 [size=\"122938027\", alpha=\"0.11\", expect_size=\"36881408\"] \n  2 -> 35 [size =\"36881408\"]\n  2 -> 39 [size =\"36881408\"]\n  2 -> 40 [size =\"36881408\"]\n  2 -> 43 [size =\"36881408\"]\n  2 -> 45 [size =\"36881408\"]\n  3 [size=\"119507627\", alpha=\"0.16\", expect_size=\"35852288\"] \n  3 -> 35 [size =\"35852288\"]\n  3 -> 39 [size =\"35852288\"]\n  3 -> 41 [size =\"35852288\"]\n  4 [size=\"87753387\", alpha=\"0.10\", expect_size=\"26326016\"] \n  4 -> 37 [size =\"26326016\"]\n  4 -> 45 [size =\"26326016\"]\n  5 [size=\"139881813\", alpha=\"0.08\", expect_size=\"41964544\"] \n  5 -> 34 [size =\"41964544\"]\n  5 -> 40 [size =\"41964544\"]\n  6 [size=\"59774293\", alpha=\"0.08\", expect_size=\"17932288\"] \n  6 -> 34 [size =\"17932288\"]\n  6 -> 36 [size =\"17932288\"]\n  6 -> 37 [size =\"17932288\"]\n  7 [size=\"124682240\", alpha=\"0.03\", expect_size=\"37404672\"] \n  7 -> 35 [size =\"37404672\"]\n  7 -> 38 [size =\"37404672\"]\n  7 -> 39 [size =\"37404672\"]\n  7 -> 43 [size =\"37404672\"]\n  8 [size=\"171878400\", alpha=\"0.17\", expect_size=\"51563520\"] \n  8 -> 34 [size =\"51563520\"]\n  8 -> 37 [size =\"51563520\"]\n  8 -> 38 [size =\"51563520\"]\n  8 -> 39 [size =\"51563520\"]\n  8 -> 43 [size =\"51563520\"]\n  9 [size=\"73594880\", alpha=\"0.18\", expect_size=\"22078464\"] \n  9 -> 38 [size =\"22078464\"]\n  9 -> 39 [size =\"22078464\"]\n  9 -> 43 [size =\"22078464\"]\n  9 -> 45 [size =\"22078464\"]\n  10 [size=\"169833813\", alpha=\"0.11\", expect_size=\"50950144\"] \n  10 -> 34 [size =\"50950144\"]\n  10 -> 38 [size =\"50950144\"]\n  10 -> 39 [size =\"50950144\"]\n  11 [size=\"87886507\", alpha=\"0.03\", expect_size=\"26365952\"] \n  11 -> 35 [size =\"26365952\"]\n  11 -> 38 [size =\"26365952\"]\n  11 -> 44 [size =\"26365952\"]\n  11 -> 45 [size =\"26365952\"]\n  12 [size=\"79059627\", alpha=\"0.07\", expect_size=\"23717888\"] \n  12 -> 35 [size =\"23717888\"]\n  12 -> 37 [size =\"23717888\"]\n  12 -> 38 [size =\"23717888\"]\n  12 -> 43 [size =\"23717888\"]\n  12 -> 44 [size =\"23717888\"]\n  13 [size=\"163594240\", alpha=\"0.17\", expect_size=\"49078272\"] \n  13 -> 37 [size =\"49078272\"]\n  13 -> 38 [size =\"49078272\"]\n  13 -> 42 [size =\"49078272\"]\n  14 [size=\"132256427\", alpha=\"0.01\", expect_size=\"39676928\"] \n  14 -> 34 [size =\"39676928\"]\n  14 -> 37 [size =\"39676928\"]\n  14 -> 43 [size =\"39676928\"]\n  15 [size=\"53108053\", alpha=\"0.14\", expect_size=\"15932416\"] \n  15 -> 35 [size =\"15932416\"]\n  15 -> 37 [size =\"15932416\"]\n  15 -> 40 [size =\"15932416\"]\n  15 -> 43 [size =\"15932416\"]\n  16 [size=\"116186453\", alpha=\"0.02\", expect_size=\"34855936\"] \n  16 -> 34 [size =\"34855936\"]\n  16 -> 36 [size =\"34855936\"]\n  16 -> 38 [size =\"34855936\"]\n  16 -> 39 [size =\"34855936\"]\n  16 -> 43 [size =\"34855936\"]\n  17 [size=\"20862293\", alpha=\"0.11\", expect_size=\"6258688\"] \n  17 -> 36 [size =\"6258688\"]\n  17 -> 39 [size =\"6258688\"]\n  17 -> 41 [size =\"6258688\"]\n  18 [size=\"47889067\", alpha=\"0.09\", expect_size=\"14366720\"] \n  18 -> 34 [size =\"14366720\"]\n  18 -> 38 [size =\"14366720\"]\n  18 -> 42 [size =\"14366720\"]\n  19 [size=\"21466453\", alpha=\"0.17\", expect_size=\"6439936\"] \n  19 -> 34 [size =\"6439936\"]\n  19 -> 37 [size =\"6439936\"]\n  19 -> 38 [size =\"6439936\"]\n  20 [size=\"160303787\", alpha=\"0.05\", expect_size=\"48091136\"] \n  20 -> 36 [size =\"48091136\"]\n  20 -> 37 [size =\"48091136\"]\n  21 [size=\"90050560\", alpha=\"0.08\", expect_size=\"27015168\"] \n  21 -> 36 [size =\"27015168\"]\n  21 -> 41 [size =\"27015168\"]\n  21 -> 43 [size =\"27015168\"]\n  22 [size=\"115534507\", alpha=\"0.05\", expect_size=\"34660352\"] \n  22 -> 37 [size =\"34660352\"]\n  22 -> 42 [size =\"34660352\"]\n  22 -> 43 [size =\"34660352\"]\n  23 [size=\"169028267\", alpha=\"0.14\", expect_size=\"50708480\"] \n  23 -> 36 [size =\"50708480\"]\n  23 -> 39 [size =\"50708480\"]\n  23 -> 43 [size =\"50708480\"]\n  24 [size=\"148971520\", alpha=\"0.12\", expect_size=\"44691456\"] \n  24 -> 35 [size =\"44691456\"]\n  24 -> 43 [size =\"44691456\"]\n  25 [size=\"153924267\", alpha=\"0.06\", expect_size=\"46177280\"] \n  25 -> 34 [size =\"46177280\"]\n  25 -> 38 [size =\"46177280\"]\n  25 -> 39 [size =\"46177280\"]\n  25 -> 45 [size =\"46177280\"]\n  26 [size=\"110346240\", alpha=\"0.05\", expect_size=\"33103872\"] \n  26 -> 35 [size =\"33103872\"]\n  26 -> 38 [size =\"33103872\"]\n  26 -> 39 [size =\"33103872\"]\n  26 -> 40 [size =\"33103872\"]\n  26 -> 41 [size =\"33103872\"]\n  26 -> 44 [size =\"33103872\"]\n  26 -> 45 [size =\"33103872\"]\n  27 [size=\"123992747\", alpha=\"0.18\", expect_size=\"37197824\"] \n  27 -> 37 [size =\"37197824\"]\n  27 -> 38 [size =\"37197824\"]\n  27 -> 40 [size =\"37197824\"]\n  27 -> 42 [size =\"37197824\"]\n  27 -> 43 [size =\"37197824\"]\n  28 [size=\"51780267\", alpha=\"0.11\", expect_size=\"15534080\"] \n  28 -> 35 [size =\"15534080\"]\n  28 -> 38 [size =\"15534080\"]\n  28 -> 44 [size =\"15534080\"]\n  29 [size=\"126279680\", alpha=\"0.11\", expect_size=\"37883904\"] \n  29 -> 35 [size =\"37883904\"]\n  30 [size=\"105478827\", alpha=\"0.10\", expect_size=\"31643648\"] \n  30 -> 35 [size =\"31643648\"]\n  30 -> 39 [size =\"31643648\"]\n  30 -> 43 [size =\"31643648\"]\n  31 [size=\"147619840\", alpha=\"0.18\", expect_size=\"44285952\"] \n  31 -> 34 [size =\"44285952\"]\n  31 -> 35 [size =\"44285952\"]\n  31 -> 36 [size =\"44285952\"]\n  31 -> 38 [size =\"44285952\"]\n  31 -> 40 [size =\"44285952\"]\n  31 -> 43 [size =\"44285952\"]\n  32 [size=\"55900160\", alpha=\"0.13\", expect_size=\"16770048\"] \n  32 -> 37 [size =\"16770048\"]\n  32 -> 39 [size =\"16770048\"]\n  32 -> 45 [size =\"16770048\"]\n  33 [size=\"93064533\", alpha=\"0.08\", expect_size=\"27919360\"] \n  33 -> 38 [size =\"27919360\"]\n  33 -> 43 [size =\"27919360\"]\n  34 [size=\"46578347\", alpha=\"0.17\", expect_size=\"13973504\"] \n  35 [size=\"143998293\", alpha=\"0.10\", expect_size=\"43199488\"] \n  36 [size=\"35877547\", alpha=\"0.16\", expect_size=\"10763264\"] \n  37 [size=\"79086933\", alpha=\"0.03\", expect_size=\"23726080\"] \n  38 [size=\"66259627\", alpha=\"0.13\", expect_size=\"19877888\"] \n  39 [size=\"151801173\", alpha=\"0.04\", expect_size=\"45540352\"] \n  40 [size=\"77253973\", alpha=\"0.13\", expect_size=\"23176192\"] \n  41 [size=\"152268800\", alpha=\"0.11\", expect_size=\"45680640\"] \n  42 [size=\"132679680\", alpha=\"0.02\", expect_size=\"39803904\"] \n  43 [size=\"80080213\", alpha=\"0.12\", expect_size=\"24024064\"] \n  44 [size=\"140581547\", alpha=\"0.19\", expect_size=\"42174464\"] \n  45 [size=\"114397867\", alpha=\"0.03\", expect_size=\"34319360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27834880\", alpha=\"0.14\", expect_size=\"11133952\"] \n  1 -> 8 [size =\"11133952\"]\n  1 -> 10 [size =\"11133952\"]\n  1 -> 11 [size =\"11133952\"]\n  2 [size=\"109452800\", alpha=\"0.19\", expect_size=\"43781120\"] \n  2 -> 8 [size =\"43781120\"]\n  2 -> 9 [size =\"43781120\"]\n  2 -> 10 [size =\"43781120\"]\n  2 -> 11 [size =\"43781120\"]\n  2 -> 12 [size =\"43781120\"]\n  3 [size=\"24542720\", alpha=\"0.12\", expect_size=\"9817088\"] \n  3 -> 7 [size =\"9817088\"]\n  3 -> 9 [size =\"9817088\"]\n  3 -> 10 [size =\"9817088\"]\n  3 -> 12 [size =\"9817088\"]\n  4 [size=\"102809600\", alpha=\"0.15\", expect_size=\"41123840\"] \n  4 -> 6 [size =\"41123840\"]\n  4 -> 9 [size =\"41123840\"]\n  4 -> 10 [size =\"41123840\"]\n  4 -> 11 [size =\"41123840\"]\n  5 [size=\"38264320\", alpha=\"0.01\", expect_size=\"15305728\"] \n  5 -> 7 [size =\"15305728\"]\n  5 -> 9 [size =\"15305728\"]\n  5 -> 12 [size =\"15305728\"]\n  6 [size=\"80637440\", alpha=\"0.18\", expect_size=\"32254976\"] \n  6 -> 15 [size =\"32254976\"]\n  6 -> 17 [size =\"32254976\"]\n  6 -> 18 [size =\"32254976\"]\n  6 -> 19 [size =\"32254976\"]\n  6 -> 20 [size =\"32254976\"]\n  7 [size=\"105692160\", alpha=\"0.16\", expect_size=\"42276864\"] \n  7 -> 14 [size =\"42276864\"]\n  7 -> 16 [size =\"42276864\"]\n  7 -> 17 [size =\"42276864\"]\n  7 -> 18 [size =\"42276864\"]\n  7 -> 19 [size =\"42276864\"]\n  8 [size=\"20303360\", alpha=\"0.12\", expect_size=\"8121344\"] \n  8 -> 13 [size =\"8121344\"]\n  8 -> 16 [size =\"8121344\"]\n  8 -> 17 [size =\"8121344\"]\n  8 -> 18 [size =\"8121344\"]\n  8 -> 19 [size =\"8121344\"]\n  8 -> 20 [size =\"8121344\"]\n  9 [size=\"65850880\", alpha=\"0.09\", expect_size=\"26340352\"] \n  9 -> 13 [size =\"26340352\"]\n  9 -> 16 [size =\"26340352\"]\n  9 -> 20 [size =\"26340352\"]\n  10 [size=\"36039680\", alpha=\"0.02\", expect_size=\"14415872\"] \n  10 -> 13 [size =\"14415872\"]\n  10 -> 14 [size =\"14415872\"]\n  10 -> 16 [size =\"14415872\"]\n  10 -> 18 [size =\"14415872\"]\n  11 [size=\"24020480\", alpha=\"0.17\", expect_size=\"9608192\"] \n  11 -> 15 [size =\"9608192\"]\n  11 -> 16 [size =\"9608192\"]\n  11 -> 16 [size =\"9608192\"]\n  11 -> 17 [size =\"9608192\"]\n  11 -> 18 [size =\"9608192\"]\n  11 -> 19 [size =\"9608192\"]\n  11 -> 20 [size =\"9608192\"]\n  12 [size=\"106501120\", alpha=\"0.02\", expect_size=\"42600448\"] \n  12 -> 13 [size =\"42600448\"]\n  12 -> 14 [size =\"42600448\"]\n  12 -> 15 [size =\"42600448\"]\n  12 -> 16 [size =\"42600448\"]\n  12 -> 17 [size =\"42600448\"]\n  12 -> 18 [size =\"42600448\"]\n  12 -> 19 [size =\"42600448\"]\n  12 -> 20 [size =\"42600448\"]\n  13 [size=\"101596160\", alpha=\"0.07\", expect_size=\"40638464\"] \n  13 -> 21 [size =\"40638464\"]\n  13 -> 22 [size =\"40638464\"]\n  13 -> 23 [size =\"40638464\"]\n  13 -> 24 [size =\"40638464\"]\n  13 -> 25 [size =\"40638464\"]\n  13 -> 27 [size =\"40638464\"]\n  14 [size=\"55203840\", alpha=\"0.03\", expect_size=\"22081536\"] \n  14 -> 21 [size =\"22081536\"]\n  14 -> 23 [size =\"22081536\"]\n  14 -> 24 [size =\"22081536\"]\n  14 -> 24 [size =\"22081536\"]\n  15 [size=\"25159680\", alpha=\"0.09\", expect_size=\"10063872\"] \n  15 -> 21 [size =\"10063872\"]\n  15 -> 23 [size =\"10063872\"]\n  15 -> 24 [size =\"10063872\"]\n  15 -> 25 [size =\"10063872\"]\n  16 [size=\"31815680\", alpha=\"0.14\", expect_size=\"12726272\"] \n  16 -> 22 [size =\"12726272\"]\n  16 -> 24 [size =\"12726272\"]\n  16 -> 25 [size =\"12726272\"]\n  16 -> 27 [size =\"12726272\"]\n  17 [size=\"18165760\", alpha=\"0.09\", expect_size=\"7266304\"] \n  17 -> 22 [size =\"7266304\"]\n  17 -> 25 [size =\"7266304\"]\n  17 -> 27 [size =\"7266304\"]\n  18 [size=\"109652480\", alpha=\"0.11\", expect_size=\"43860992\"] \n  18 -> 21 [size =\"43860992\"]\n  18 -> 22 [size =\"43860992\"]\n  18 -> 26 [size =\"43860992\"]\n  19 [size=\"64867840\", alpha=\"0.08\", expect_size=\"25947136\"] \n  19 -> 21 [size =\"25947136\"]\n  19 -> 22 [size =\"25947136\"]\n  19 -> 23 [size =\"25947136\"]\n  19 -> 26 [size =\"25947136\"]\n  20 [size=\"120488960\", alpha=\"0.02\", expect_size=\"48195584\"] \n  20 -> 24 [size =\"48195584\"]\n  20 -> 27 [size =\"48195584\"]\n  21 [size=\"129945600\", alpha=\"0.19\", expect_size=\"51978240\"] \n  21 -> 31 [size =\"51978240\"]\n  21 -> 32 [size =\"51978240\"]\n  21 -> 33 [size =\"51978240\"]\n  22 [size=\"110561280\", alpha=\"0.11\", expect_size=\"44224512\"] \n  22 -> 29 [size =\"44224512\"]\n  22 -> 30 [size =\"44224512\"]\n  22 -> 31 [size =\"44224512\"]\n  22 -> 33 [size =\"44224512\"]\n  23 [size=\"122513920\", alpha=\"0.06\", expect_size=\"49005568\"] \n  23 -> 29 [size =\"49005568\"]\n  23 -> 31 [size =\"49005568\"]\n  23 -> 33 [size =\"49005568\"]\n  23 -> 33 [size =\"49005568\"]\n  23 -> 34 [size =\"49005568\"]\n  24 [size=\"46650880\", alpha=\"0.16\", expect_size=\"18660352\"] \n  24 -> 30 [size =\"18660352\"]\n  24 -> 34 [size =\"18660352\"]\n  25 [size=\"64046080\", alpha=\"0.10\", expect_size=\"25618432\"] \n  25 -> 28 [size =\"25618432\"]\n  25 -> 34 [size =\"25618432\"]\n  26 [size=\"118973440\", alpha=\"0.16\", expect_size=\"47589376\"] \n  27 [size=\"81228800\", alpha=\"0.17\", expect_size=\"32491520\"] \n  27 -> 31 [size =\"32491520\"]\n  27 -> 32 [size =\"32491520\"]\n  27 -> 33 [size =\"32491520\"]\n  28 [size=\"15795200\", alpha=\"0.20\", expect_size=\"6318080\"] \n  28 -> 35 [size =\"6318080\"]\n  28 -> 37 [size =\"6318080\"]\n  28 -> 38 [size =\"6318080\"]\n  28 -> 40 [size =\"6318080\"]\n  29 [size=\"78169600\", alpha=\"0.11\", expect_size=\"31267840\"] \n  29 -> 37 [size =\"31267840\"]\n  29 -> 39 [size =\"31267840\"]\n  30 [size=\"127165440\", alpha=\"0.06\", expect_size=\"50866176\"] \n  30 -> 36 [size =\"50866176\"]\n  30 -> 37 [size =\"50866176\"]\n  30 -> 40 [size =\"50866176\"]\n  31 [size=\"22356480\", alpha=\"0.04\", expect_size=\"8942592\"] \n  31 -> 38 [size =\"8942592\"]\n  31 -> 40 [size =\"8942592\"]\n  31 -> 40 [size =\"8942592\"]\n  32 [size=\"14405120\", alpha=\"0.17\", expect_size=\"5762048\"] \n  32 -> 36 [size =\"5762048\"]\n  32 -> 38 [size =\"5762048\"]\n  32 -> 40 [size =\"5762048\"]\n  33 [size=\"81692160\", alpha=\"0.05\", expect_size=\"32676864\"] \n  33 -> 36 [size =\"32676864\"]\n  33 -> 38 [size =\"32676864\"]\n  33 -> 40 [size =\"32676864\"]\n  34 [size=\"117688320\", alpha=\"0.00\", expect_size=\"47075328\"] \n  34 -> 36 [size =\"47075328\"]\n  34 -> 38 [size =\"47075328\"]\n  34 -> 40 [size =\"47075328\"]\n  35 [size=\"94133760\", alpha=\"0.17\", expect_size=\"37653504\"] \n  35 -> 41 [size =\"37653504\"]\n  35 -> 42 [size =\"37653504\"]\n  35 -> 43 [size =\"37653504\"]\n  35 -> 44 [size =\"37653504\"]\n  35 -> 45 [size =\"37653504\"]\n  36 [size=\"36183040\", alpha=\"0.18\", expect_size=\"14473216\"] \n  36 -> 41 [size =\"14473216\"]\n  36 -> 42 [size =\"14473216\"]\n  36 -> 43 [size =\"14473216\"]\n  36 -> 45 [size =\"14473216\"]\n  36 -> 45 [size =\"14473216\"]\n  37 [size=\"129338880\", alpha=\"0.19\", expect_size=\"51735552\"] \n  37 -> 41 [size =\"51735552\"]\n  37 -> 42 [size =\"51735552\"]\n  37 -> 44 [size =\"51735552\"]\n  37 -> 45 [size =\"51735552\"]\n  38 [size=\"112284160\", alpha=\"0.17\", expect_size=\"44913664\"] \n  38 -> 41 [size =\"44913664\"]\n  38 -> 42 [size =\"44913664\"]\n  39 [size=\"110187520\", alpha=\"0.03\", expect_size=\"44075008\"] \n  39 -> 41 [size =\"44075008\"]\n  39 -> 42 [size =\"44075008\"]\n  40 [size=\"57825280\", alpha=\"0.08\", expect_size=\"23130112\"] \n  40 -> 41 [size =\"23130112\"]\n  40 -> 42 [size =\"23130112\"]\n  40 -> 45 [size =\"23130112\"]\n  41 [size=\"96094720\", alpha=\"0.12\", expect_size=\"38437888\"] \n  42 [size=\"117949440\", alpha=\"0.13\", expect_size=\"47179776\"] \n  43 [size=\"98818560\", alpha=\"0.12\", expect_size=\"39527424\"] \n  44 [size=\"127193600\", alpha=\"0.18\", expect_size=\"50877440\"] \n  45 [size=\"127203840\", alpha=\"0.11\", expect_size=\"50881536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18783573\", alpha=\"0.16\", expect_size=\"5635072\"] \n  1 -> 2 [size =\"5635072\"]\n  2 [size=\"67372373\", alpha=\"0.17\", expect_size=\"20211712\"] \n  2 -> 3 [size =\"20211712\"]\n  3 [size=\"138226347\", alpha=\"0.06\", expect_size=\"41467904\"] \n  3 -> 4 [size =\"41467904\"]\n  4 [size=\"129006933\", alpha=\"0.11\", expect_size=\"38702080\"] \n  4 -> 5 [size =\"38702080\"]\n  5 [size=\"155139413\", alpha=\"0.15\", expect_size=\"46541824\"] \n  5 -> 6 [size =\"46541824\"]\n  6 [size=\"106134187\", alpha=\"0.02\", expect_size=\"31840256\"] \n  6 -> 7 [size =\"31840256\"]\n  7 [size=\"76690773\", alpha=\"0.06\", expect_size=\"23007232\"] \n  7 -> 8 [size =\"23007232\"]\n  8 [size=\"152917333\", alpha=\"0.02\", expect_size=\"45875200\"] \n  8 -> 9 [size =\"45875200\"]\n  9 [size=\"25927680\", alpha=\"0.06\", expect_size=\"7778304\"] \n  9 -> 10 [size =\"7778304\"]\n  10 [size=\"107728213\", alpha=\"0.15\", expect_size=\"32318464\"] \n  10 -> 11 [size =\"32318464\"]\n  11 [size=\"140902400\", alpha=\"0.14\", expect_size=\"42270720\"] \n  11 -> 12 [size =\"42270720\"]\n  12 [size=\"113093973\", alpha=\"0.06\", expect_size=\"33928192\"] \n  12 -> 13 [size =\"33928192\"]\n  13 [size=\"89006080\", alpha=\"0.00\", expect_size=\"26701824\"] \n  13 -> 14 [size =\"26701824\"]\n  14 [size=\"137680213\", alpha=\"0.12\", expect_size=\"41304064\"] \n  14 -> 15 [size =\"41304064\"]\n  15 [size=\"64518827\", alpha=\"0.06\", expect_size=\"19355648\"] \n  15 -> 16 [size =\"19355648\"]\n  16 [size=\"26753707\", alpha=\"0.17\", expect_size=\"8026112\"] \n  16 -> 17 [size =\"8026112\"]\n  17 [size=\"40011093\", alpha=\"0.14\", expect_size=\"12003328\"] \n  17 -> 18 [size =\"12003328\"]\n  18 [size=\"85964800\", alpha=\"0.08\", expect_size=\"25789440\"] \n  18 -> 19 [size =\"25789440\"]\n  19 [size=\"104133973\", alpha=\"0.15\", expect_size=\"31240192\"] \n  19 -> 20 [size =\"31240192\"]\n  20 [size=\"151630507\", alpha=\"0.18\", expect_size=\"45489152\"] \n  20 -> 21 [size =\"45489152\"]\n  21 [size=\"111230293\", alpha=\"0.02\", expect_size=\"33369088\"] \n  21 -> 22 [size =\"33369088\"]\n  22 [size=\"64498347\", alpha=\"0.11\", expect_size=\"19349504\"] \n  22 -> 23 [size =\"19349504\"]\n  23 [size=\"109448533\", alpha=\"0.16\", expect_size=\"32834560\"] \n  23 -> 24 [size =\"32834560\"]\n  24 [size=\"113134933\", alpha=\"0.15\", expect_size=\"33940480\"] \n  24 -> 25 [size =\"33940480\"]\n  25 [size=\"49053013\", alpha=\"0.12\", expect_size=\"14715904\"] \n  25 -> 26 [size =\"14715904\"]\n  26 [size=\"98437120\", alpha=\"0.20\", expect_size=\"29531136\"] \n  26 -> 27 [size =\"29531136\"]\n  27 [size=\"78093653\", alpha=\"0.15\", expect_size=\"23428096\"] \n  27 -> 28 [size =\"23428096\"]\n  28 [size=\"33331200\", alpha=\"0.08\", expect_size=\"9999360\"] \n  28 -> 29 [size =\"9999360\"]\n  29 [size=\"95327573\", alpha=\"0.01\", expect_size=\"28598272\"] \n  29 -> 30 [size =\"28598272\"]\n  30 [size=\"58828800\", alpha=\"0.06\", expect_size=\"17648640\"] \n  30 -> 31 [size =\"17648640\"]\n  31 [size=\"46175573\", alpha=\"0.07\", expect_size=\"13852672\"] \n  31 -> 32 [size =\"13852672\"]\n  32 [size=\"58668373\", alpha=\"0.00\", expect_size=\"17600512\"] \n  32 -> 33 [size =\"17600512\"]\n  33 [size=\"146210133\", alpha=\"0.02\", expect_size=\"43863040\"] \n  33 -> 34 [size =\"43863040\"]\n  34 [size=\"114978133\", alpha=\"0.20\", expect_size=\"34493440\"] \n  34 -> 35 [size =\"34493440\"]\n  35 [size=\"76503040\", alpha=\"0.03\", expect_size=\"22950912\"] \n  35 -> 36 [size =\"22950912\"]\n  36 [size=\"168454827\", alpha=\"0.08\", expect_size=\"50536448\"] \n  36 -> 37 [size =\"50536448\"]\n  37 [size=\"164922027\", alpha=\"0.15\", expect_size=\"49476608\"] \n  37 -> 38 [size =\"49476608\"]\n  38 [size=\"125115733\", alpha=\"0.11\", expect_size=\"37534720\"] \n  38 -> 39 [size =\"37534720\"]\n  39 [size=\"27194027\", alpha=\"0.18\", expect_size=\"8158208\"] \n  39 -> 40 [size =\"8158208\"]\n  40 [size=\"36898133\", alpha=\"0.03\", expect_size=\"11069440\"] \n  40 -> 41 [size =\"11069440\"]\n  41 [size=\"87197013\", alpha=\"0.19\", expect_size=\"26159104\"] \n  41 -> 42 [size =\"26159104\"]\n  42 [size=\"144230400\", alpha=\"0.01\", expect_size=\"43269120\"] \n  42 -> 43 [size =\"43269120\"]\n  43 [size=\"146329600\", alpha=\"0.15\", expect_size=\"43898880\"] \n  43 -> 44 [size =\"43898880\"]\n  44 [size=\"165024427\", alpha=\"0.01\", expect_size=\"49507328\"] \n  44 -> 45 [size =\"49507328\"]\n  45 [size=\"163235840\", alpha=\"0.11\", expect_size=\"48970752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43527680\", alpha=\"0.16\", expect_size=\"17411072\"] \n  1 -> 2 [size =\"17411072\"]\n  2 [size=\"84631040\", alpha=\"0.13\", expect_size=\"33852416\"] \n  2 -> 3 [size =\"33852416\"]\n  3 [size=\"97443840\", alpha=\"0.11\", expect_size=\"38977536\"] \n  3 -> 4 [size =\"38977536\"]\n  4 [size=\"121034240\", alpha=\"0.15\", expect_size=\"48413696\"] \n  4 -> 5 [size =\"48413696\"]\n  5 [size=\"74506240\", alpha=\"0.14\", expect_size=\"29802496\"] \n  5 -> 6 [size =\"29802496\"]\n  6 [size=\"55667200\", alpha=\"0.19\", expect_size=\"22266880\"] \n  6 -> 7 [size =\"22266880\"]\n  7 [size=\"31592960\", alpha=\"0.14\", expect_size=\"12637184\"] \n  7 -> 8 [size =\"12637184\"]\n  8 [size=\"71936000\", alpha=\"0.17\", expect_size=\"28774400\"] \n  8 -> 9 [size =\"28774400\"]\n  9 [size=\"30338560\", alpha=\"0.10\", expect_size=\"12135424\"] \n  9 -> 10 [size =\"12135424\"]\n  10 [size=\"89617920\", alpha=\"0.05\", expect_size=\"35847168\"] \n  10 -> 11 [size =\"35847168\"]\n  11 [size=\"66890240\", alpha=\"0.18\", expect_size=\"26756096\"] \n  11 -> 12 [size =\"26756096\"]\n  12 [size=\"42736640\", alpha=\"0.02\", expect_size=\"17094656\"] \n  12 -> 13 [size =\"17094656\"]\n  13 [size=\"120271360\", alpha=\"0.02\", expect_size=\"48108544\"] \n  13 -> 14 [size =\"48108544\"]\n  14 [size=\"66347520\", alpha=\"0.17\", expect_size=\"26539008\"] \n  14 -> 15 [size =\"26539008\"]\n  15 [size=\"36546560\", alpha=\"0.04\", expect_size=\"14618624\"] \n  15 -> 16 [size =\"14618624\"]\n  16 [size=\"116948480\", alpha=\"0.03\", expect_size=\"46779392\"] \n  16 -> 17 [size =\"46779392\"]\n  17 [size=\"109406720\", alpha=\"0.04\", expect_size=\"43762688\"] \n  17 -> 18 [size =\"43762688\"]\n  18 [size=\"76267520\", alpha=\"0.09\", expect_size=\"30507008\"] \n  18 -> 19 [size =\"30507008\"]\n  19 [size=\"58009600\", alpha=\"0.06\", expect_size=\"23203840\"] \n  19 -> 20 [size =\"23203840\"]\n  20 [size=\"118225920\", alpha=\"0.03\", expect_size=\"47290368\"] \n  20 -> 21 [size =\"47290368\"]\n  21 [size=\"28651520\", alpha=\"0.06\", expect_size=\"11460608\"] \n  21 -> 22 [size =\"11460608\"]\n  22 [size=\"18956800\", alpha=\"0.01\", expect_size=\"7582720\"] \n  22 -> 23 [size =\"7582720\"]\n  23 [size=\"32552960\", alpha=\"0.10\", expect_size=\"13021184\"] \n  23 -> 24 [size =\"13021184\"]\n  24 [size=\"43002880\", alpha=\"0.17\", expect_size=\"17201152\"] \n  24 -> 25 [size =\"17201152\"]\n  25 [size=\"27397120\", alpha=\"0.15\", expect_size=\"10958848\"] \n  25 -> 26 [size =\"10958848\"]\n  26 [size=\"51929600\", alpha=\"0.00\", expect_size=\"20771840\"] \n  26 -> 27 [size =\"20771840\"]\n  27 [size=\"68062720\", alpha=\"0.09\", expect_size=\"27225088\"] \n  27 -> 28 [size =\"27225088\"]\n  28 [size=\"93580800\", alpha=\"0.07\", expect_size=\"37432320\"] \n  28 -> 29 [size =\"37432320\"]\n  29 [size=\"27412480\", alpha=\"0.08\", expect_size=\"10964992\"] \n  29 -> 30 [size =\"10964992\"]\n  30 [size=\"60810240\", alpha=\"0.02\", expect_size=\"24324096\"] \n  30 -> 31 [size =\"24324096\"]\n  31 [size=\"79956480\", alpha=\"0.05\", expect_size=\"31982592\"] \n  31 -> 32 [size =\"31982592\"]\n  32 [size=\"115269120\", alpha=\"0.14\", expect_size=\"46107648\"] \n  32 -> 33 [size =\"46107648\"]\n  33 [size=\"120312320\", alpha=\"0.20\", expect_size=\"48124928\"] \n  33 -> 34 [size =\"48124928\"]\n  34 [size=\"61455360\", alpha=\"0.15\", expect_size=\"24582144\"] \n  34 -> 35 [size =\"24582144\"]\n  35 [size=\"46630400\", alpha=\"0.15\", expect_size=\"18652160\"] \n  35 -> 36 [size =\"18652160\"]\n  36 [size=\"19271680\", alpha=\"0.12\", expect_size=\"7708672\"] \n  36 -> 37 [size =\"7708672\"]\n  37 [size=\"21939200\", alpha=\"0.05\", expect_size=\"8775680\"] \n  37 -> 38 [size =\"8775680\"]\n  38 [size=\"73121280\", alpha=\"0.09\", expect_size=\"29248512\"] \n  38 -> 39 [size =\"29248512\"]\n  39 [size=\"113684480\", alpha=\"0.01\", expect_size=\"45473792\"] \n  39 -> 40 [size =\"45473792\"]\n  40 [size=\"42895360\", alpha=\"0.10\", expect_size=\"17158144\"] \n  40 -> 41 [size =\"17158144\"]\n  41 [size=\"55229440\", alpha=\"0.02\", expect_size=\"22091776\"] \n  41 -> 42 [size =\"22091776\"]\n  42 [size=\"86510080\", alpha=\"0.16\", expect_size=\"34604032\"] \n  42 -> 43 [size =\"34604032\"]\n  43 [size=\"48404480\", alpha=\"0.12\", expect_size=\"19361792\"] \n  43 -> 44 [size =\"19361792\"]\n  44 [size=\"48074240\", alpha=\"0.13\", expect_size=\"19229696\"] \n  44 -> 45 [size =\"19229696\"]\n  45 [size=\"20800000\", alpha=\"0.17\", expect_size=\"8320000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104669867\", alpha=\"0.03\", expect_size=\"31400960\"] \n  1 -> 3 [size =\"31400960\"]\n  2 [size=\"93443413\", alpha=\"0.03\", expect_size=\"28033024\"] \n  2 -> 3 [size =\"28033024\"]\n  2 -> 4 [size =\"28033024\"]\n  3 [size=\"154224640\", alpha=\"0.04\", expect_size=\"46267392\"] \n  3 -> 5 [size =\"46267392\"]\n  4 [size=\"72089600\", alpha=\"0.09\", expect_size=\"21626880\"] \n  5 [size=\"123890347\", alpha=\"0.10\", expect_size=\"37167104\"] \n  5 -> 6 [size =\"37167104\"]\n  5 -> 7 [size =\"37167104\"]\n  5 -> 8 [size =\"37167104\"]\n  5 -> 9 [size =\"37167104\"]\n  6 [size=\"118869333\", alpha=\"0.01\", expect_size=\"35660800\"] \n  7 [size=\"161501867\", alpha=\"0.15\", expect_size=\"48450560\"] \n  7 -> 10 [size =\"48450560\"]\n  8 [size=\"119835307\", alpha=\"0.16\", expect_size=\"35950592\"] \n  9 [size=\"54736213\", alpha=\"0.05\", expect_size=\"16420864\"] \n  10 [size=\"42028373\", alpha=\"0.13\", expect_size=\"12608512\"] \n  10 -> 11 [size =\"12608512\"]\n  10 -> 12 [size =\"12608512\"]\n  10 -> 13 [size =\"12608512\"]\n  11 [size=\"120995840\", alpha=\"0.19\", expect_size=\"36298752\"] \n  11 -> 14 [size =\"36298752\"]\n  11 -> 15 [size =\"36298752\"]\n  12 [size=\"143909547\", alpha=\"0.13\", expect_size=\"43172864\"] \n  13 [size=\"164143787\", alpha=\"0.12\", expect_size=\"49243136\"] \n  13 -> 14 [size =\"49243136\"]\n  14 [size=\"37829973\", alpha=\"0.20\", expect_size=\"11348992\"] \n  14 -> 17 [size =\"11348992\"]\n  15 [size=\"105325227\", alpha=\"0.17\", expect_size=\"31597568\"] \n  15 -> 16 [size =\"31597568\"]\n  15 -> 18 [size =\"31597568\"]\n  16 [size=\"27750400\", alpha=\"0.15\", expect_size=\"8325120\"] \n  16 -> 19 [size =\"8325120\"]\n  17 [size=\"33870507\", alpha=\"0.09\", expect_size=\"10161152\"] \n  17 -> 19 [size =\"10161152\"]\n  17 -> 20 [size =\"10161152\"]\n  17 -> 21 [size =\"10161152\"]\n  18 [size=\"151654400\", alpha=\"0.15\", expect_size=\"45496320\"] \n  18 -> 20 [size =\"45496320\"]\n  19 [size=\"124129280\", alpha=\"0.15\", expect_size=\"37238784\"] \n  20 [size=\"163539627\", alpha=\"0.01\", expect_size=\"49061888\"] \n  20 -> 23 [size =\"49061888\"]\n  20 -> 24 [size =\"49061888\"]\n  21 [size=\"105710933\", alpha=\"0.19\", expect_size=\"31713280\"] \n  21 -> 22 [size =\"31713280\"]\n  21 -> 24 [size =\"31713280\"]\n  22 [size=\"98327893\", alpha=\"0.07\", expect_size=\"29498368\"] \n  23 [size=\"47100587\", alpha=\"0.12\", expect_size=\"14130176\"] \n  23 -> 25 [size =\"14130176\"]\n  24 [size=\"141933227\", alpha=\"0.04\", expect_size=\"42579968\"] \n  24 -> 25 [size =\"42579968\"]\n  24 -> 26 [size =\"42579968\"]\n  24 -> 27 [size =\"42579968\"]\n  25 [size=\"139120640\", alpha=\"0.09\", expect_size=\"41736192\"] \n  25 -> 28 [size =\"41736192\"]\n  26 [size=\"112926720\", alpha=\"0.08\", expect_size=\"33878016\"] \n  27 [size=\"74574507\", alpha=\"0.04\", expect_size=\"22372352\"] \n  28 [size=\"146435413\", alpha=\"0.14\", expect_size=\"43930624\"] \n  28 -> 29 [size =\"43930624\"]\n  28 -> 30 [size =\"43930624\"]\n  28 -> 31 [size =\"43930624\"]\n  29 [size=\"108571307\", alpha=\"0.08\", expect_size=\"32571392\"] \n  29 -> 32 [size =\"32571392\"]\n  29 -> 33 [size =\"32571392\"]\n  30 [size=\"66648747\", alpha=\"0.06\", expect_size=\"19994624\"] \n  30 -> 33 [size =\"19994624\"]\n  30 -> 34 [size =\"19994624\"]\n  31 [size=\"78366720\", alpha=\"0.16\", expect_size=\"23510016\"] \n  31 -> 32 [size =\"23510016\"]\n  31 -> 34 [size =\"23510016\"]\n  32 [size=\"73639253\", alpha=\"0.03\", expect_size=\"22091776\"] \n  32 -> 35 [size =\"22091776\"]\n  33 [size=\"128430080\", alpha=\"0.09\", expect_size=\"38529024\"] \n  34 [size=\"64918187\", alpha=\"0.17\", expect_size=\"19475456\"] \n  34 -> 36 [size =\"19475456\"]\n  35 [size=\"95006720\", alpha=\"0.16\", expect_size=\"28502016\"] \n  35 -> 37 [size =\"28502016\"]\n  35 -> 38 [size =\"28502016\"]\n  35 -> 39 [size =\"28502016\"]\n  36 [size=\"167826773\", alpha=\"0.16\", expect_size=\"50348032\"] \n  36 -> 40 [size =\"50348032\"]\n  37 [size=\"70191787\", alpha=\"0.19\", expect_size=\"21057536\"] \n  37 -> 41 [size =\"21057536\"]\n  38 [size=\"103424000\", alpha=\"0.18\", expect_size=\"31027200\"] \n  38 -> 41 [size =\"31027200\"]\n  38 -> 42 [size =\"31027200\"]\n  39 [size=\"55313067\", alpha=\"0.12\", expect_size=\"16593920\"] \n  40 [size=\"120398507\", alpha=\"0.03\", expect_size=\"36119552\"] \n  41 [size=\"165956267\", alpha=\"0.06\", expect_size=\"49786880\"] \n  41 -> 43 [size =\"49786880\"]\n  42 [size=\"138219520\", alpha=\"0.20\", expect_size=\"41465856\"] \n  42 -> 44 [size =\"41465856\"]\n  43 [size=\"163621547\", alpha=\"0.17\", expect_size=\"49086464\"] \n  43 -> 45 [size =\"49086464\"]\n  44 [size=\"74257067\", alpha=\"0.09\", expect_size=\"22277120\"] \n  45 [size=\"47769600\", alpha=\"0.18\", expect_size=\"14330880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77432832\", alpha=\"0.05\", expect_size=\"38716416\"] \n  1 -> 8 [size =\"38716416\"]\n  1 -> 8 [size =\"38716416\"]\n  1 -> 9 [size =\"38716416\"]\n  1 -> 11 [size =\"38716416\"]\n  2 [size=\"92479488\", alpha=\"0.04\", expect_size=\"46239744\"] \n  2 -> 10 [size =\"46239744\"]\n  3 [size=\"92362752\", alpha=\"0.18\", expect_size=\"46181376\"] \n  3 -> 8 [size =\"46181376\"]\n  3 -> 11 [size =\"46181376\"]\n  4 [size=\"96221184\", alpha=\"0.15\", expect_size=\"48110592\"] \n  4 -> 7 [size =\"48110592\"]\n  4 -> 8 [size =\"48110592\"]\n  4 -> 11 [size =\"48110592\"]\n  5 [size=\"46958592\", alpha=\"0.09\", expect_size=\"23479296\"] \n  5 -> 7 [size =\"23479296\"]\n  5 -> 8 [size =\"23479296\"]\n  6 [size=\"35725312\", alpha=\"0.11\", expect_size=\"17862656\"] \n  6 -> 7 [size =\"17862656\"]\n  6 -> 8 [size =\"17862656\"]\n  6 -> 11 [size =\"17862656\"]\n  7 [size=\"53434368\", alpha=\"0.19\", expect_size=\"26717184\"] \n  7 -> 12 [size =\"26717184\"]\n  7 -> 13 [size =\"26717184\"]\n  7 -> 15 [size =\"26717184\"]\n  8 [size=\"41066496\", alpha=\"0.05\", expect_size=\"20533248\"] \n  8 -> 12 [size =\"20533248\"]\n  8 -> 13 [size =\"20533248\"]\n  8 -> 16 [size =\"20533248\"]\n  9 [size=\"56920064\", alpha=\"0.13\", expect_size=\"28460032\"] \n  9 -> 16 [size =\"28460032\"]\n  10 [size=\"50761728\", alpha=\"0.01\", expect_size=\"25380864\"] \n  10 -> 13 [size =\"25380864\"]\n  10 -> 16 [size =\"25380864\"]\n  11 [size=\"12048384\", alpha=\"0.09\", expect_size=\"6024192\"] \n  11 -> 12 [size =\"6024192\"]\n  11 -> 13 [size =\"6024192\"]\n  11 -> 14 [size =\"6024192\"]\n  11 -> 16 [size =\"6024192\"]\n  12 [size=\"34566144\", alpha=\"0.07\", expect_size=\"17283072\"] \n  12 -> 17 [size =\"17283072\"]\n  12 -> 19 [size =\"17283072\"]\n  12 -> 20 [size =\"17283072\"]\n  12 -> 22 [size =\"17283072\"]\n  12 -> 22 [size =\"17283072\"]\n  13 [size=\"54108160\", alpha=\"0.14\", expect_size=\"27054080\"] \n  13 -> 17 [size =\"27054080\"]\n  13 -> 19 [size =\"27054080\"]\n  14 [size=\"42631168\", alpha=\"0.08\", expect_size=\"21315584\"] \n  14 -> 17 [size =\"21315584\"]\n  14 -> 18 [size =\"21315584\"]\n  14 -> 19 [size =\"21315584\"]\n  14 -> 20 [size =\"21315584\"]\n  14 -> 22 [size =\"21315584\"]\n  15 [size=\"19511296\", alpha=\"0.14\", expect_size=\"9755648\"] \n  15 -> 17 [size =\"9755648\"]\n  15 -> 18 [size =\"9755648\"]\n  15 -> 19 [size =\"9755648\"]\n  15 -> 20 [size =\"9755648\"]\n  15 -> 22 [size =\"9755648\"]\n  16 [size=\"61442048\", alpha=\"0.17\", expect_size=\"30721024\"] \n  16 -> 17 [size =\"30721024\"]\n  16 -> 18 [size =\"30721024\"]\n  16 -> 19 [size =\"30721024\"]\n  16 -> 21 [size =\"30721024\"]\n  16 -> 22 [size =\"30721024\"]\n  17 [size=\"16869376\", alpha=\"0.19\", expect_size=\"8434688\"] \n  17 -> 23 [size =\"8434688\"]\n  17 -> 24 [size =\"8434688\"]\n  17 -> 25 [size =\"8434688\"]\n  17 -> 26 [size =\"8434688\"]\n  17 -> 27 [size =\"8434688\"]\n  18 [size=\"14141440\", alpha=\"0.13\", expect_size=\"7070720\"] \n  18 -> 24 [size =\"7070720\"]\n  18 -> 25 [size =\"7070720\"]\n  18 -> 26 [size =\"7070720\"]\n  18 -> 26 [size =\"7070720\"]\n  18 -> 27 [size =\"7070720\"]\n  19 [size=\"38072320\", alpha=\"0.19\", expect_size=\"19036160\"] \n  19 -> 23 [size =\"19036160\"]\n  19 -> 24 [size =\"19036160\"]\n  19 -> 25 [size =\"19036160\"]\n  19 -> 26 [size =\"19036160\"]\n  20 [size=\"101163008\", alpha=\"0.17\", expect_size=\"50581504\"] \n  20 -> 23 [size =\"50581504\"]\n  20 -> 25 [size =\"50581504\"]\n  20 -> 27 [size =\"50581504\"]\n  21 [size=\"12922880\", alpha=\"0.09\", expect_size=\"6461440\"] \n  21 -> 24 [size =\"6461440\"]\n  21 -> 25 [size =\"6461440\"]\n  21 -> 27 [size =\"6461440\"]\n  22 [size=\"54472704\", alpha=\"0.19\", expect_size=\"27236352\"] \n  22 -> 23 [size =\"27236352\"]\n  22 -> 24 [size =\"27236352\"]\n  22 -> 25 [size =\"27236352\"]\n  22 -> 26 [size =\"27236352\"]\n  22 -> 27 [size =\"27236352\"]\n  23 [size=\"87515136\", alpha=\"0.06\", expect_size=\"43757568\"] \n  23 -> 28 [size =\"43757568\"]\n  23 -> 29 [size =\"43757568\"]\n  23 -> 30 [size =\"43757568\"]\n  23 -> 32 [size =\"43757568\"]\n  24 [size=\"59488256\", alpha=\"0.11\", expect_size=\"29744128\"] \n  24 -> 31 [size =\"29744128\"]\n  24 -> 32 [size =\"29744128\"]\n  24 -> 33 [size =\"29744128\"]\n  25 [size=\"96380928\", alpha=\"0.03\", expect_size=\"48190464\"] \n  25 -> 29 [size =\"48190464\"]\n  25 -> 31 [size =\"48190464\"]\n  25 -> 32 [size =\"48190464\"]\n  26 [size=\"66631680\", alpha=\"0.02\", expect_size=\"33315840\"] \n  26 -> 28 [size =\"33315840\"]\n  26 -> 31 [size =\"33315840\"]\n  26 -> 32 [size =\"33315840\"]\n  27 [size=\"52572160\", alpha=\"0.09\", expect_size=\"26286080\"] \n  27 -> 28 [size =\"26286080\"]\n  27 -> 29 [size =\"26286080\"]\n  27 -> 31 [size =\"26286080\"]\n  27 -> 32 [size =\"26286080\"]\n  28 [size=\"50120704\", alpha=\"0.02\", expect_size=\"25060352\"] \n  28 -> 34 [size =\"25060352\"]\n  28 -> 36 [size =\"25060352\"]\n  29 [size=\"15646720\", alpha=\"0.06\", expect_size=\"7823360\"] \n  29 -> 34 [size =\"7823360\"]\n  29 -> 35 [size =\"7823360\"]\n  29 -> 36 [size =\"7823360\"]\n  30 [size=\"12331008\", alpha=\"0.18\", expect_size=\"6165504\"] \n  30 -> 34 [size =\"6165504\"]\n  30 -> 35 [size =\"6165504\"]\n  30 -> 36 [size =\"6165504\"]\n  30 -> 38 [size =\"6165504\"]\n  31 [size=\"93597696\", alpha=\"0.10\", expect_size=\"46798848\"] \n  31 -> 35 [size =\"46798848\"]\n  31 -> 36 [size =\"46798848\"]\n  31 -> 39 [size =\"46798848\"]\n  32 [size=\"43278336\", alpha=\"0.08\", expect_size=\"21639168\"] \n  32 -> 35 [size =\"21639168\"]\n  32 -> 37 [size =\"21639168\"]\n  33 [size=\"37742592\", alpha=\"0.15\", expect_size=\"18871296\"] \n  33 -> 35 [size =\"18871296\"]\n  33 -> 36 [size =\"18871296\"]\n  34 [size=\"64491520\", alpha=\"0.08\", expect_size=\"32245760\"] \n  34 -> 41 [size =\"32245760\"]\n  34 -> 41 [size =\"32245760\"]\n  34 -> 44 [size =\"32245760\"]\n  35 [size=\"20520960\", alpha=\"0.04\", expect_size=\"10260480\"] \n  35 -> 43 [size =\"10260480\"]\n  35 -> 44 [size =\"10260480\"]\n  36 [size=\"36673536\", alpha=\"0.10\", expect_size=\"18336768\"] \n  36 -> 43 [size =\"18336768\"]\n  36 -> 44 [size =\"18336768\"]\n  37 [size=\"43823104\", alpha=\"0.17\", expect_size=\"21911552\"] \n  37 -> 41 [size =\"21911552\"]\n  37 -> 43 [size =\"21911552\"]\n  37 -> 44 [size =\"21911552\"]\n  38 [size=\"84916224\", alpha=\"0.06\", expect_size=\"42458112\"] \n  38 -> 41 [size =\"42458112\"]\n  38 -> 42 [size =\"42458112\"]\n  38 -> 43 [size =\"42458112\"]\n  38 -> 44 [size =\"42458112\"]\n  39 [size=\"96163840\", alpha=\"0.00\", expect_size=\"48081920\"] \n  39 -> 40 [size =\"48081920\"]\n  39 -> 41 [size =\"48081920\"]\n  39 -> 44 [size =\"48081920\"]\n  40 [size=\"29630464\", alpha=\"0.13\", expect_size=\"14815232\"] \n  40 -> 45 [size =\"14815232\"]\n  41 [size=\"19965952\", alpha=\"0.07\", expect_size=\"9982976\"] \n  41 -> 45 [size =\"9982976\"]\n  42 [size=\"68732928\", alpha=\"0.11\", expect_size=\"34366464\"] \n  42 -> 45 [size =\"34366464\"]\n  43 [size=\"11268096\", alpha=\"0.10\", expect_size=\"5634048\"] \n  43 -> 45 [size =\"5634048\"]\n  44 [size=\"79941632\", alpha=\"0.00\", expect_size=\"39970816\"] \n  44 -> 45 [size =\"39970816\"]\n  45 [size=\"23783424\", alpha=\"0.09\", expect_size=\"11891712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85626880\", alpha=\"0.08\", expect_size=\"42813440\"] \n  1 -> 4 [size =\"42813440\"]\n  2 [size=\"57341952\", alpha=\"0.14\", expect_size=\"28670976\"] \n  2 -> 4 [size =\"28670976\"]\n  3 [size=\"32045056\", alpha=\"0.09\", expect_size=\"16022528\"] \n  3 -> 4 [size =\"16022528\"]\n  4 [size=\"90523648\", alpha=\"0.02\", expect_size=\"45261824\"] \n  4 -> 5 [size =\"45261824\"]\n  4 -> 6 [size =\"45261824\"]\n  5 [size=\"15984640\", alpha=\"0.04\", expect_size=\"7992320\"] \n  5 -> 7 [size =\"7992320\"]\n  5 -> 8 [size =\"7992320\"]\n  6 [size=\"41777152\", alpha=\"0.20\", expect_size=\"20888576\"] \n  6 -> 7 [size =\"20888576\"]\n  6 -> 8 [size =\"20888576\"]\n  7 [size=\"30105600\", alpha=\"0.19\", expect_size=\"15052800\"] \n  7 -> 9 [size =\"15052800\"]\n  7 -> 10 [size =\"15052800\"]\n  7 -> 11 [size =\"15052800\"]\n  8 [size=\"49035264\", alpha=\"0.07\", expect_size=\"24517632\"] \n  8 -> 9 [size =\"24517632\"]\n  8 -> 10 [size =\"24517632\"]\n  9 [size=\"102076416\", alpha=\"0.18\", expect_size=\"51038208\"] \n  9 -> 12 [size =\"51038208\"]\n  9 -> 13 [size =\"51038208\"]\n  9 -> 14 [size =\"51038208\"]\n  9 -> 15 [size =\"51038208\"]\n  10 [size=\"25612288\", alpha=\"0.02\", expect_size=\"12806144\"] \n  10 -> 12 [size =\"12806144\"]\n  10 -> 13 [size =\"12806144\"]\n  10 -> 14 [size =\"12806144\"]\n  11 [size=\"16750592\", alpha=\"0.02\", expect_size=\"8375296\"] \n  11 -> 13 [size =\"8375296\"]\n  11 -> 14 [size =\"8375296\"]\n  11 -> 15 [size =\"8375296\"]\n  12 [size=\"54368256\", alpha=\"0.16\", expect_size=\"27184128\"] \n  12 -> 16 [size =\"27184128\"]\n  12 -> 17 [size =\"27184128\"]\n  12 -> 18 [size =\"27184128\"]\n  13 [size=\"24641536\", alpha=\"0.19\", expect_size=\"12320768\"] \n  14 [size=\"66654208\", alpha=\"0.15\", expect_size=\"33327104\"] \n  14 -> 17 [size =\"33327104\"]\n  15 [size=\"75728896\", alpha=\"0.06\", expect_size=\"37864448\"] \n  15 -> 17 [size =\"37864448\"]\n  15 -> 18 [size =\"37864448\"]\n  16 [size=\"94994432\", alpha=\"0.03\", expect_size=\"47497216\"] \n  16 -> 19 [size =\"47497216\"]\n  16 -> 20 [size =\"47497216\"]\n  17 [size=\"93710336\", alpha=\"0.17\", expect_size=\"46855168\"] \n  17 -> 19 [size =\"46855168\"]\n  17 -> 20 [size =\"46855168\"]\n  17 -> 21 [size =\"46855168\"]\n  17 -> 22 [size =\"46855168\"]\n  18 [size=\"91070464\", alpha=\"0.17\", expect_size=\"45535232\"] \n  18 -> 19 [size =\"45535232\"]\n  18 -> 20 [size =\"45535232\"]\n  18 -> 22 [size =\"45535232\"]\n  18 -> 22 [size =\"45535232\"]\n  19 [size=\"31180800\", alpha=\"0.12\", expect_size=\"15590400\"] \n  19 -> 23 [size =\"15590400\"]\n  19 -> 24 [size =\"15590400\"]\n  20 [size=\"19650560\", alpha=\"0.02\", expect_size=\"9825280\"] \n  20 -> 24 [size =\"9825280\"]\n  21 [size=\"28426240\", alpha=\"0.08\", expect_size=\"14213120\"] \n  21 -> 23 [size =\"14213120\"]\n  22 [size=\"38211584\", alpha=\"0.04\", expect_size=\"19105792\"] \n  22 -> 24 [size =\"19105792\"]\n  23 [size=\"19562496\", alpha=\"0.04\", expect_size=\"9781248\"] \n  23 -> 25 [size =\"9781248\"]\n  23 -> 26 [size =\"9781248\"]\n  24 [size=\"12642304\", alpha=\"0.01\", expect_size=\"6321152\"] \n  24 -> 26 [size =\"6321152\"]\n  25 [size=\"81946624\", alpha=\"0.20\", expect_size=\"40973312\"] \n  25 -> 27 [size =\"40973312\"]\n  25 -> 28 [size =\"40973312\"]\n  26 [size=\"15587328\", alpha=\"0.05\", expect_size=\"7793664\"] \n  26 -> 27 [size =\"7793664\"]\n  26 -> 28 [size =\"7793664\"]\n  27 [size=\"31576064\", alpha=\"0.14\", expect_size=\"15788032\"] \n  27 -> 29 [size =\"15788032\"]\n  27 -> 30 [size =\"15788032\"]\n  27 -> 31 [size =\"15788032\"]\n  28 [size=\"15591424\", alpha=\"0.12\", expect_size=\"7795712\"] \n  28 -> 29 [size =\"7795712\"]\n  28 -> 30 [size =\"7795712\"]\n  28 -> 31 [size =\"7795712\"]\n  29 [size=\"97814528\", alpha=\"0.09\", expect_size=\"48907264\"] \n  29 -> 32 [size =\"48907264\"]\n  29 -> 33 [size =\"48907264\"]\n  30 [size=\"58576896\", alpha=\"0.09\", expect_size=\"29288448\"] \n  30 -> 32 [size =\"29288448\"]\n  30 -> 33 [size =\"29288448\"]\n  30 -> 34 [size =\"29288448\"]\n  31 [size=\"66607104\", alpha=\"0.11\", expect_size=\"33303552\"] \n  31 -> 32 [size =\"33303552\"]\n  31 -> 33 [size =\"33303552\"]\n  32 [size=\"102674432\", alpha=\"0.01\", expect_size=\"51337216\"] \n  32 -> 35 [size =\"51337216\"]\n  32 -> 36 [size =\"51337216\"]\n  33 [size=\"24891392\", alpha=\"0.15\", expect_size=\"12445696\"] \n  33 -> 35 [size =\"12445696\"]\n  33 -> 37 [size =\"12445696\"]\n  34 [size=\"43560960\", alpha=\"0.01\", expect_size=\"21780480\"] \n  34 -> 35 [size =\"21780480\"]\n  34 -> 36 [size =\"21780480\"]\n  34 -> 37 [size =\"21780480\"]\n  35 [size=\"49981440\", alpha=\"0.00\", expect_size=\"24990720\"] \n  35 -> 38 [size =\"24990720\"]\n  36 [size=\"49649664\", alpha=\"0.18\", expect_size=\"24824832\"] \n  36 -> 39 [size =\"24824832\"]\n  37 [size=\"73859072\", alpha=\"0.13\", expect_size=\"36929536\"] \n  37 -> 38 [size =\"36929536\"]\n  37 -> 39 [size =\"36929536\"]\n  38 [size=\"47861760\", alpha=\"0.05\", expect_size=\"23930880\"] \n  38 -> 40 [size =\"23930880\"]\n  38 -> 41 [size =\"23930880\"]\n  38 -> 42 [size =\"23930880\"]\n  39 [size=\"104577024\", alpha=\"0.01\", expect_size=\"52288512\"] \n  39 -> 40 [size =\"52288512\"]\n  39 -> 41 [size =\"52288512\"]\n  39 -> 42 [size =\"52288512\"]\n  40 [size=\"52486144\", alpha=\"0.20\", expect_size=\"26243072\"] \n  40 -> 43 [size =\"26243072\"]\n  40 -> 44 [size =\"26243072\"]\n  41 [size=\"95455232\", alpha=\"0.02\", expect_size=\"47727616\"] \n  41 -> 43 [size =\"47727616\"]\n  42 [size=\"51007488\", alpha=\"0.10\", expect_size=\"25503744\"] \n  42 -> 43 [size =\"25503744\"]\n  43 [size=\"57397248\", alpha=\"0.00\", expect_size=\"28698624\"] \n  43 -> 45 [size =\"28698624\"]\n  44 [size=\"34410496\", alpha=\"0.11\", expect_size=\"17205248\"] \n  45 [size=\"38215680\", alpha=\"0.17\", expect_size=\"19107840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89018368\", alpha=\"0.02\", expect_size=\"44509184\"] \n  2 [size=\"20072448\", alpha=\"0.04\", expect_size=\"10036224\"] \n  3 [size=\"17981440\", alpha=\"0.05\", expect_size=\"8990720\"] \n  3 -> 4 [size =\"8990720\"]\n  3 -> 5 [size =\"8990720\"]\n  3 -> 6 [size =\"8990720\"]\n  4 [size=\"56571904\", alpha=\"0.16\", expect_size=\"28285952\"] \n  5 [size=\"53764096\", alpha=\"0.13\", expect_size=\"26882048\"] \n  5 -> 7 [size =\"26882048\"]\n  5 -> 9 [size =\"26882048\"]\n  6 [size=\"96112640\", alpha=\"0.09\", expect_size=\"48056320\"] \n  6 -> 7 [size =\"48056320\"]\n  6 -> 8 [size =\"48056320\"]\n  7 [size=\"96929792\", alpha=\"0.16\", expect_size=\"48464896\"] \n  7 -> 11 [size =\"48464896\"]\n  8 [size=\"101296128\", alpha=\"0.03\", expect_size=\"50648064\"] \n  9 [size=\"51449856\", alpha=\"0.07\", expect_size=\"25724928\"] \n  9 -> 10 [size =\"25724928\"]\n  9 -> 11 [size =\"25724928\"]\n  10 [size=\"23455744\", alpha=\"0.05\", expect_size=\"11727872\"] \n  10 -> 12 [size =\"11727872\"]\n  10 -> 13 [size =\"11727872\"]\n  11 [size=\"40261632\", alpha=\"0.06\", expect_size=\"20130816\"] \n  11 -> 14 [size =\"20130816\"]\n  12 [size=\"49647616\", alpha=\"0.15\", expect_size=\"24823808\"] \n  12 -> 16 [size =\"24823808\"]\n  12 -> 17 [size =\"24823808\"]\n  13 [size=\"66732032\", alpha=\"0.12\", expect_size=\"33366016\"] \n  14 [size=\"88549376\", alpha=\"0.06\", expect_size=\"44274688\"] \n  14 -> 15 [size =\"44274688\"]\n  15 [size=\"67864576\", alpha=\"0.19\", expect_size=\"33932288\"] \n  16 [size=\"35547136\", alpha=\"0.05\", expect_size=\"17773568\"] \n  16 -> 18 [size =\"17773568\"]\n  17 [size=\"80220160\", alpha=\"0.03\", expect_size=\"40110080\"] \n  17 -> 18 [size =\"40110080\"]\n  17 -> 19 [size =\"40110080\"]\n  18 [size=\"59693056\", alpha=\"0.08\", expect_size=\"29846528\"] \n  18 -> 21 [size =\"29846528\"]\n  18 -> 22 [size =\"29846528\"]\n  19 [size=\"75319296\", alpha=\"0.16\", expect_size=\"37659648\"] \n  19 -> 20 [size =\"37659648\"]\n  20 [size=\"12599296\", alpha=\"0.06\", expect_size=\"6299648\"] \n  20 -> 24 [size =\"6299648\"]\n  21 [size=\"37748736\", alpha=\"0.12\", expect_size=\"18874368\"] \n  22 [size=\"66617344\", alpha=\"0.00\", expect_size=\"33308672\"] \n  22 -> 23 [size =\"33308672\"]\n  22 -> 24 [size =\"33308672\"]\n  23 [size=\"41015296\", alpha=\"0.10\", expect_size=\"20507648\"] \n  23 -> 25 [size =\"20507648\"]\n  23 -> 26 [size =\"20507648\"]\n  24 [size=\"96548864\", alpha=\"0.10\", expect_size=\"48274432\"] \n  25 [size=\"31123456\", alpha=\"0.19\", expect_size=\"15561728\"] \n  25 -> 28 [size =\"15561728\"]\n  26 [size=\"27197440\", alpha=\"0.06\", expect_size=\"13598720\"] \n  26 -> 27 [size =\"13598720\"]\n  27 [size=\"51689472\", alpha=\"0.11\", expect_size=\"25844736\"] \n  27 -> 29 [size =\"25844736\"]\n  27 -> 30 [size =\"25844736\"]\n  28 [size=\"64464896\", alpha=\"0.15\", expect_size=\"32232448\"] \n  29 [size=\"104321024\", alpha=\"0.08\", expect_size=\"52160512\"] \n  30 [size=\"87695360\", alpha=\"0.04\", expect_size=\"43847680\"] \n  30 -> 31 [size =\"43847680\"]\n  30 -> 32 [size =\"43847680\"]\n  31 [size=\"21817344\", alpha=\"0.07\", expect_size=\"10908672\"] \n  31 -> 33 [size =\"10908672\"]\n  32 [size=\"79593472\", alpha=\"0.17\", expect_size=\"39796736\"] \n  32 -> 34 [size =\"39796736\"]\n  33 [size=\"81868800\", alpha=\"0.20\", expect_size=\"40934400\"] \n  33 -> 35 [size =\"40934400\"]\n  33 -> 36 [size =\"40934400\"]\n  34 [size=\"36141056\", alpha=\"0.19\", expect_size=\"18070528\"] \n  35 [size=\"82868224\", alpha=\"0.10\", expect_size=\"41434112\"] \n  35 -> 39 [size =\"41434112\"]\n  36 [size=\"76589056\", alpha=\"0.06\", expect_size=\"38294528\"] \n  36 -> 37 [size =\"38294528\"]\n  36 -> 38 [size =\"38294528\"]\n  37 [size=\"102926336\", alpha=\"0.17\", expect_size=\"51463168\"] \n  37 -> 40 [size =\"51463168\"]\n  37 -> 41 [size =\"51463168\"]\n  38 [size=\"59586560\", alpha=\"0.19\", expect_size=\"29793280\"] \n  39 [size=\"37376000\", alpha=\"0.14\", expect_size=\"18688000\"] \n  39 -> 40 [size =\"18688000\"]\n  39 -> 41 [size =\"18688000\"]\n  40 [size=\"77260800\", alpha=\"0.10\", expect_size=\"38630400\"] \n  40 -> 42 [size =\"38630400\"]\n  40 -> 44 [size =\"38630400\"]\n  41 [size=\"97841152\", alpha=\"0.12\", expect_size=\"48920576\"] \n  41 -> 43 [size =\"48920576\"]\n  42 [size=\"34523136\", alpha=\"0.05\", expect_size=\"17261568\"] \n  43 [size=\"20840448\", alpha=\"0.05\", expect_size=\"10420224\"] \n  44 [size=\"18667520\", alpha=\"0.04\", expect_size=\"9333760\"] \n  44 -> 45 [size =\"9333760\"]\n  45 [size=\"11700224\", alpha=\"0.06\", expect_size=\"5850112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51780267\", alpha=\"0.04\", expect_size=\"15534080\"] \n  1 -> 7 [size =\"15534080\"]\n  1 -> 8 [size =\"15534080\"]\n  1 -> 9 [size =\"15534080\"]\n  2 [size=\"61102080\", alpha=\"0.13\", expect_size=\"18330624\"] \n  2 -> 7 [size =\"18330624\"]\n  2 -> 8 [size =\"18330624\"]\n  2 -> 9 [size =\"18330624\"]\n  3 [size=\"115947520\", alpha=\"0.19\", expect_size=\"34784256\"] \n  3 -> 7 [size =\"34784256\"]\n  3 -> 8 [size =\"34784256\"]\n  3 -> 9 [size =\"34784256\"]\n  3 -> 10 [size =\"34784256\"]\n  3 -> 11 [size =\"34784256\"]\n  3 -> 12 [size =\"34784256\"]\n  4 [size=\"106922667\", alpha=\"0.04\", expect_size=\"32076800\"] \n  4 -> 7 [size =\"32076800\"]\n  4 -> 8 [size =\"32076800\"]\n  4 -> 9 [size =\"32076800\"]\n  4 -> 12 [size =\"32076800\"]\n  5 [size=\"129611093\", alpha=\"0.13\", expect_size=\"38883328\"] \n  5 -> 7 [size =\"38883328\"]\n  5 -> 8 [size =\"38883328\"]\n  5 -> 12 [size =\"38883328\"]\n  6 [size=\"119125333\", alpha=\"0.16\", expect_size=\"35737600\"] \n  6 -> 7 [size =\"35737600\"]\n  6 -> 8 [size =\"35737600\"]\n  6 -> 9 [size =\"35737600\"]\n  6 -> 10 [size =\"35737600\"]\n  6 -> 11 [size =\"35737600\"]\n  7 [size=\"116476587\", alpha=\"0.17\", expect_size=\"34942976\"] \n  7 -> 17 [size =\"34942976\"]\n  8 [size=\"20865707\", alpha=\"0.12\", expect_size=\"6259712\"] \n  8 -> 13 [size =\"6259712\"]\n  8 -> 17 [size =\"6259712\"]\n  9 [size=\"96955733\", alpha=\"0.13\", expect_size=\"29086720\"] \n  9 -> 13 [size =\"29086720\"]\n  9 -> 15 [size =\"29086720\"]\n  9 -> 16 [size =\"29086720\"]\n  9 -> 17 [size =\"29086720\"]\n  10 [size=\"59139413\", alpha=\"0.16\", expect_size=\"17741824\"] \n  10 -> 13 [size =\"17741824\"]\n  10 -> 14 [size =\"17741824\"]\n  10 -> 16 [size =\"17741824\"]\n  10 -> 17 [size =\"17741824\"]\n  11 [size=\"46984533\", alpha=\"0.15\", expect_size=\"14095360\"] \n  11 -> 17 [size =\"14095360\"]\n  12 [size=\"80032427\", alpha=\"0.09\", expect_size=\"24009728\"] \n  12 -> 17 [size =\"24009728\"]\n  13 [size=\"26084693\", alpha=\"0.18\", expect_size=\"7825408\"] \n  13 -> 18 [size =\"7825408\"]\n  13 -> 20 [size =\"7825408\"]\n  13 -> 21 [size =\"7825408\"]\n  13 -> 22 [size =\"7825408\"]\n  14 [size=\"20507307\", alpha=\"0.01\", expect_size=\"6152192\"] \n  14 -> 18 [size =\"6152192\"]\n  14 -> 19 [size =\"6152192\"]\n  14 -> 20 [size =\"6152192\"]\n  14 -> 21 [size =\"6152192\"]\n  14 -> 22 [size =\"6152192\"]\n  15 [size=\"50408107\", alpha=\"0.02\", expect_size=\"15122432\"] \n  15 -> 20 [size =\"15122432\"]\n  15 -> 22 [size =\"15122432\"]\n  16 [size=\"156166827\", alpha=\"0.03\", expect_size=\"46850048\"] \n  16 -> 18 [size =\"46850048\"]\n  16 -> 20 [size =\"46850048\"]\n  16 -> 22 [size =\"46850048\"]\n  17 [size=\"122856107\", alpha=\"0.16\", expect_size=\"36856832\"] \n  17 -> 18 [size =\"36856832\"]\n  17 -> 20 [size =\"36856832\"]\n  17 -> 22 [size =\"36856832\"]\n  18 [size=\"100331520\", alpha=\"0.04\", expect_size=\"30099456\"] \n  18 -> 26 [size =\"30099456\"]\n  19 [size=\"40349013\", alpha=\"0.13\", expect_size=\"12104704\"] \n  19 -> 26 [size =\"12104704\"]\n  19 -> 27 [size =\"12104704\"]\n  20 [size=\"140834133\", alpha=\"0.17\", expect_size=\"42250240\"] \n  20 -> 23 [size =\"42250240\"]\n  20 -> 26 [size =\"42250240\"]\n  20 -> 27 [size =\"42250240\"]\n  21 [size=\"110452053\", alpha=\"0.05\", expect_size=\"33135616\"] \n  21 -> 23 [size =\"33135616\"]\n  21 -> 25 [size =\"33135616\"]\n  21 -> 26 [size =\"33135616\"]\n  21 -> 27 [size =\"33135616\"]\n  22 [size=\"69669547\", alpha=\"0.19\", expect_size=\"20900864\"] \n  22 -> 24 [size =\"20900864\"]\n  22 -> 25 [size =\"20900864\"]\n  22 -> 26 [size =\"20900864\"]\n  23 [size=\"142537387\", alpha=\"0.05\", expect_size=\"42761216\"] \n  23 -> 28 [size =\"42761216\"]\n  23 -> 29 [size =\"42761216\"]\n  23 -> 32 [size =\"42761216\"]\n  24 [size=\"128136533\", alpha=\"0.03\", expect_size=\"38440960\"] \n  24 -> 28 [size =\"38440960\"]\n  24 -> 29 [size =\"38440960\"]\n  24 -> 33 [size =\"38440960\"]\n  25 [size=\"139236693\", alpha=\"0.15\", expect_size=\"41771008\"] \n  25 -> 28 [size =\"41771008\"]\n  25 -> 29 [size =\"41771008\"]\n  25 -> 32 [size =\"41771008\"]\n  25 -> 33 [size =\"41771008\"]\n  26 [size=\"152627200\", alpha=\"0.20\", expect_size=\"45788160\"] \n  26 -> 28 [size =\"45788160\"]\n  26 -> 29 [size =\"45788160\"]\n  26 -> 30 [size =\"45788160\"]\n  26 -> 31 [size =\"45788160\"]\n  26 -> 32 [size =\"45788160\"]\n  27 [size=\"173356373\", alpha=\"0.17\", expect_size=\"52006912\"] \n  27 -> 28 [size =\"52006912\"]\n  28 [size=\"144298667\", alpha=\"0.15\", expect_size=\"43289600\"] \n  28 -> 35 [size =\"43289600\"]\n  28 -> 37 [size =\"43289600\"]\n  29 [size=\"173755733\", alpha=\"0.03\", expect_size=\"52126720\"] \n  29 -> 39 [size =\"52126720\"]\n  30 [size=\"118725973\", alpha=\"0.17\", expect_size=\"35617792\"] \n  30 -> 36 [size =\"35617792\"]\n  30 -> 38 [size =\"35617792\"]\n  31 [size=\"94474240\", alpha=\"0.14\", expect_size=\"28342272\"] \n  31 -> 34 [size =\"28342272\"]\n  31 -> 36 [size =\"28342272\"]\n  31 -> 38 [size =\"28342272\"]\n  31 -> 39 [size =\"28342272\"]\n  32 [size=\"135307947\", alpha=\"0.19\", expect_size=\"40592384\"] \n  32 -> 34 [size =\"40592384\"]\n  32 -> 38 [size =\"40592384\"]\n  32 -> 38 [size =\"40592384\"]\n  32 -> 39 [size =\"40592384\"]\n  33 [size=\"127563093\", alpha=\"0.05\", expect_size=\"38268928\"] \n  33 -> 34 [size =\"38268928\"]\n  33 -> 35 [size =\"38268928\"]\n  34 [size=\"169717760\", alpha=\"0.11\", expect_size=\"50915328\"] \n  34 -> 40 [size =\"50915328\"]\n  34 -> 41 [size =\"50915328\"]\n  34 -> 44 [size =\"50915328\"]\n  35 [size=\"36648960\", alpha=\"0.02\", expect_size=\"10994688\"] \n  35 -> 40 [size =\"10994688\"]\n  35 -> 41 [size =\"10994688\"]\n  35 -> 44 [size =\"10994688\"]\n  36 [size=\"155060907\", alpha=\"0.11\", expect_size=\"46518272\"] \n  36 -> 40 [size =\"46518272\"]\n  36 -> 41 [size =\"46518272\"]\n  36 -> 44 [size =\"46518272\"]\n  37 [size=\"154750293\", alpha=\"0.12\", expect_size=\"46425088\"] \n  37 -> 41 [size =\"46425088\"]\n  37 -> 42 [size =\"46425088\"]\n  37 -> 43 [size =\"46425088\"]\n  38 [size=\"134717440\", alpha=\"0.05\", expect_size=\"40415232\"] \n  38 -> 40 [size =\"40415232\"]\n  38 -> 42 [size =\"40415232\"]\n  38 -> 43 [size =\"40415232\"]\n  39 [size=\"98351787\", alpha=\"0.20\", expect_size=\"29505536\"] \n  39 -> 40 [size =\"29505536\"]\n  39 -> 41 [size =\"29505536\"]\n  39 -> 42 [size =\"29505536\"]\n  40 [size=\"125132800\", alpha=\"0.11\", expect_size=\"37539840\"] \n  41 [size=\"99440640\", alpha=\"0.13\", expect_size=\"29832192\"] \n  41 -> 45 [size =\"29832192\"]\n  42 [size=\"50786987\", alpha=\"0.03\", expect_size=\"15236096\"] \n  42 -> 45 [size =\"15236096\"]\n  43 [size=\"41724587\", alpha=\"0.08\", expect_size=\"12517376\"] \n  44 [size=\"80868693\", alpha=\"0.07\", expect_size=\"24260608\"] \n  45 [size=\"171246933\", alpha=\"0.02\", expect_size=\"51374080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23523840\", alpha=\"0.08\", expect_size=\"9409536\"] \n  1 -> 31 [size =\"9409536\"]\n  1 -> 35 [size =\"9409536\"]\n  1 -> 39 [size =\"9409536\"]\n  1 -> 43 [size =\"9409536\"]\n  1 -> 45 [size =\"9409536\"]\n  2 [size=\"95731200\", alpha=\"0.15\", expect_size=\"38292480\"] \n  2 -> 31 [size =\"38292480\"]\n  2 -> 32 [size =\"38292480\"]\n  2 -> 34 [size =\"38292480\"]\n  2 -> 36 [size =\"38292480\"]\n  2 -> 37 [size =\"38292480\"]\n  2 -> 38 [size =\"38292480\"]\n  2 -> 41 [size =\"38292480\"]\n  3 [size=\"75955200\", alpha=\"0.19\", expect_size=\"30382080\"] \n  3 -> 35 [size =\"30382080\"]\n  3 -> 38 [size =\"30382080\"]\n  3 -> 44 [size =\"30382080\"]\n  3 -> 45 [size =\"30382080\"]\n  4 [size=\"75960320\", alpha=\"0.06\", expect_size=\"30384128\"] \n  4 -> 31 [size =\"30384128\"]\n  4 -> 37 [size =\"30384128\"]\n  4 -> 38 [size =\"30384128\"]\n  4 -> 44 [size =\"30384128\"]\n  5 [size=\"88476160\", alpha=\"0.16\", expect_size=\"35390464\"] \n  5 -> 29 [size =\"35390464\"]\n  5 -> 31 [size =\"35390464\"]\n  5 -> 34 [size =\"35390464\"]\n  5 -> 39 [size =\"35390464\"]\n  5 -> 44 [size =\"35390464\"]\n  6 [size=\"130060800\", alpha=\"0.20\", expect_size=\"52024320\"] \n  6 -> 29 [size =\"52024320\"]\n  6 -> 30 [size =\"52024320\"]\n  6 -> 34 [size =\"52024320\"]\n  6 -> 38 [size =\"52024320\"]\n  6 -> 39 [size =\"52024320\"]\n  6 -> 43 [size =\"52024320\"]\n  6 -> 44 [size =\"52024320\"]\n  7 [size=\"111339520\", alpha=\"0.08\", expect_size=\"44535808\"] \n  7 -> 34 [size =\"44535808\"]\n  7 -> 38 [size =\"44535808\"]\n  7 -> 39 [size =\"44535808\"]\n  7 -> 41 [size =\"44535808\"]\n  7 -> 44 [size =\"44535808\"]\n  7 -> 45 [size =\"44535808\"]\n  8 [size=\"61696000\", alpha=\"0.10\", expect_size=\"24678400\"] \n  8 -> 34 [size =\"24678400\"]\n  8 -> 41 [size =\"24678400\"]\n  8 -> 45 [size =\"24678400\"]\n  9 [size=\"96168960\", alpha=\"0.07\", expect_size=\"38467584\"] \n  9 -> 29 [size =\"38467584\"]\n  9 -> 36 [size =\"38467584\"]\n  9 -> 38 [size =\"38467584\"]\n  9 -> 40 [size =\"38467584\"]\n  9 -> 41 [size =\"38467584\"]\n  10 [size=\"69690880\", alpha=\"0.15\", expect_size=\"27876352\"] \n  10 -> 31 [size =\"27876352\"]\n  10 -> 33 [size =\"27876352\"]\n  10 -> 35 [size =\"27876352\"]\n  10 -> 36 [size =\"27876352\"]\n  10 -> 37 [size =\"27876352\"]\n  10 -> 41 [size =\"27876352\"]\n  10 -> 45 [size =\"27876352\"]\n  11 [size=\"20902400\", alpha=\"0.10\", expect_size=\"8360960\"] \n  11 -> 42 [size =\"8360960\"]\n  11 -> 44 [size =\"8360960\"]\n  12 [size=\"66465280\", alpha=\"0.09\", expect_size=\"26586112\"] \n  12 -> 39 [size =\"26586112\"]\n  12 -> 45 [size =\"26586112\"]\n  13 [size=\"37608960\", alpha=\"0.06\", expect_size=\"15043584\"] \n  13 -> 29 [size =\"15043584\"]\n  13 -> 36 [size =\"15043584\"]\n  13 -> 38 [size =\"15043584\"]\n  13 -> 39 [size =\"15043584\"]\n  13 -> 42 [size =\"15043584\"]\n  13 -> 44 [size =\"15043584\"]\n  14 [size=\"31639040\", alpha=\"0.18\", expect_size=\"12655616\"] \n  14 -> 30 [size =\"12655616\"]\n  14 -> 39 [size =\"12655616\"]\n  14 -> 44 [size =\"12655616\"]\n  15 [size=\"69608960\", alpha=\"0.19\", expect_size=\"27843584\"] \n  15 -> 29 [size =\"27843584\"]\n  15 -> 30 [size =\"27843584\"]\n  15 -> 31 [size =\"27843584\"]\n  15 -> 39 [size =\"27843584\"]\n  15 -> 45 [size =\"27843584\"]\n  16 [size=\"46376960\", alpha=\"0.18\", expect_size=\"18550784\"] \n  16 -> 29 [size =\"18550784\"]\n  16 -> 31 [size =\"18550784\"]\n  16 -> 32 [size =\"18550784\"]\n  16 -> 35 [size =\"18550784\"]\n  16 -> 36 [size =\"18550784\"]\n  16 -> 38 [size =\"18550784\"]\n  17 [size=\"43927040\", alpha=\"0.14\", expect_size=\"17570816\"] \n  17 -> 29 [size =\"17570816\"]\n  17 -> 30 [size =\"17570816\"]\n  17 -> 31 [size =\"17570816\"]\n  17 -> 35 [size =\"17570816\"]\n  18 [size=\"92549120\", alpha=\"0.16\", expect_size=\"37019648\"] \n  18 -> 29 [size =\"37019648\"]\n  18 -> 30 [size =\"37019648\"]\n  18 -> 33 [size =\"37019648\"]\n  18 -> 35 [size =\"37019648\"]\n  18 -> 38 [size =\"37019648\"]\n  18 -> 41 [size =\"37019648\"]\n  19 [size=\"33034240\", alpha=\"0.16\", expect_size=\"13213696\"] \n  19 -> 33 [size =\"13213696\"]\n  19 -> 35 [size =\"13213696\"]\n  19 -> 39 [size =\"13213696\"]\n  20 [size=\"75112960\", alpha=\"0.11\", expect_size=\"30045184\"] \n  20 -> 29 [size =\"30045184\"]\n  20 -> 31 [size =\"30045184\"]\n  20 -> 32 [size =\"30045184\"]\n  20 -> 33 [size =\"30045184\"]\n  20 -> 35 [size =\"30045184\"]\n  20 -> 43 [size =\"30045184\"]\n  20 -> 45 [size =\"30045184\"]\n  21 [size=\"46755840\", alpha=\"0.08\", expect_size=\"18702336\"] \n  21 -> 29 [size =\"18702336\"]\n  21 -> 38 [size =\"18702336\"]\n  21 -> 45 [size =\"18702336\"]\n  22 [size=\"104302080\", alpha=\"0.19\", expect_size=\"41720832\"] \n  22 -> 29 [size =\"41720832\"]\n  22 -> 31 [size =\"41720832\"]\n  22 -> 38 [size =\"41720832\"]\n  23 [size=\"38184960\", alpha=\"0.00\", expect_size=\"15273984\"] \n  23 -> 29 [size =\"15273984\"]\n  23 -> 32 [size =\"15273984\"]\n  23 -> 34 [size =\"15273984\"]\n  23 -> 41 [size =\"15273984\"]\n  23 -> 42 [size =\"15273984\"]\n  23 -> 44 [size =\"15273984\"]\n  24 [size=\"76328960\", alpha=\"0.12\", expect_size=\"30531584\"] \n  24 -> 29 [size =\"30531584\"]\n  24 -> 33 [size =\"30531584\"]\n  24 -> 38 [size =\"30531584\"]\n  24 -> 45 [size =\"30531584\"]\n  25 [size=\"64450560\", alpha=\"0.17\", expect_size=\"25780224\"] \n  25 -> 29 [size =\"25780224\"]\n  25 -> 33 [size =\"25780224\"]\n  25 -> 39 [size =\"25780224\"]\n  25 -> 41 [size =\"25780224\"]\n  25 -> 42 [size =\"25780224\"]\n  25 -> 44 [size =\"25780224\"]\n  25 -> 45 [size =\"25780224\"]\n  26 [size=\"57384960\", alpha=\"0.02\", expect_size=\"22953984\"] \n  26 -> 34 [size =\"22953984\"]\n  27 [size=\"44444160\", alpha=\"0.03\", expect_size=\"17777664\"] \n  27 -> 33 [size =\"17777664\"]\n  27 -> 34 [size =\"17777664\"]\n  27 -> 38 [size =\"17777664\"]\n  27 -> 41 [size =\"17777664\"]\n  27 -> 42 [size =\"17777664\"]\n  28 [size=\"127759360\", alpha=\"0.12\", expect_size=\"51103744\"] \n  28 -> 34 [size =\"51103744\"]\n  28 -> 38 [size =\"51103744\"]\n  29 [size=\"104855040\", alpha=\"0.16\", expect_size=\"41942016\"] \n  30 [size=\"83596800\", alpha=\"0.09\", expect_size=\"33438720\"] \n  31 [size=\"32440320\", alpha=\"0.04\", expect_size=\"12976128\"] \n  32 [size=\"79767040\", alpha=\"0.07\", expect_size=\"31906816\"] \n  33 [size=\"72279040\", alpha=\"0.15\", expect_size=\"28911616\"] \n  34 [size=\"72819200\", alpha=\"0.06\", expect_size=\"29127680\"] \n  35 [size=\"26278400\", alpha=\"0.06\", expect_size=\"10511360\"] \n  36 [size=\"125995520\", alpha=\"0.12\", expect_size=\"50398208\"] \n  37 [size=\"17064960\", alpha=\"0.04\", expect_size=\"6825984\"] \n  38 [size=\"33653760\", alpha=\"0.08\", expect_size=\"13461504\"] \n  39 [size=\"106380800\", alpha=\"0.17\", expect_size=\"42552320\"] \n  40 [size=\"82385920\", alpha=\"0.15\", expect_size=\"32954368\"] \n  41 [size=\"18252800\", alpha=\"0.20\", expect_size=\"7301120\"] \n  42 [size=\"39741440\", alpha=\"0.19\", expect_size=\"15896576\"] \n  43 [size=\"82250240\", alpha=\"0.03\", expect_size=\"32900096\"] \n  44 [size=\"52313600\", alpha=\"0.18\", expect_size=\"20925440\"] \n  45 [size=\"86433280\", alpha=\"0.02\", expect_size=\"34573312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39421952\", alpha=\"0.09\", expect_size=\"19710976\"] \n  1 -> 4 [size =\"19710976\"]\n  2 [size=\"40902656\", alpha=\"0.11\", expect_size=\"20451328\"] \n  2 -> 4 [size =\"20451328\"]\n  2 -> 5 [size =\"20451328\"]\n  2 -> 6 [size =\"20451328\"]\n  3 [size=\"101046272\", alpha=\"0.18\", expect_size=\"50523136\"] \n  3 -> 5 [size =\"50523136\"]\n  3 -> 6 [size =\"50523136\"]\n  4 [size=\"62246912\", alpha=\"0.10\", expect_size=\"31123456\"] \n  4 -> 7 [size =\"31123456\"]\n  5 [size=\"26494976\", alpha=\"0.14\", expect_size=\"13247488\"] \n  5 -> 7 [size =\"13247488\"]\n  5 -> 8 [size =\"13247488\"]\n  6 [size=\"14249984\", alpha=\"0.17\", expect_size=\"7124992\"] \n  7 [size=\"30859264\", alpha=\"0.10\", expect_size=\"15429632\"] \n  7 -> 9 [size =\"15429632\"]\n  7 -> 10 [size =\"15429632\"]\n  7 -> 11 [size =\"15429632\"]\n  8 [size=\"36141056\", alpha=\"0.07\", expect_size=\"18070528\"] \n  8 -> 10 [size =\"18070528\"]\n  8 -> 11 [size =\"18070528\"]\n  9 [size=\"25006080\", alpha=\"0.09\", expect_size=\"12503040\"] \n  9 -> 12 [size =\"12503040\"]\n  9 -> 13 [size =\"12503040\"]\n  10 [size=\"21639168\", alpha=\"0.10\", expect_size=\"10819584\"] \n  10 -> 12 [size =\"10819584\"]\n  11 [size=\"101093376\", alpha=\"0.09\", expect_size=\"50546688\"] \n  12 [size=\"47394816\", alpha=\"0.03\", expect_size=\"23697408\"] \n  12 -> 15 [size =\"23697408\"]\n  13 [size=\"100878336\", alpha=\"0.15\", expect_size=\"50439168\"] \n  13 -> 14 [size =\"50439168\"]\n  13 -> 15 [size =\"50439168\"]\n  14 [size=\"92825600\", alpha=\"0.18\", expect_size=\"46412800\"] \n  14 -> 17 [size =\"46412800\"]\n  15 [size=\"44720128\", alpha=\"0.18\", expect_size=\"22360064\"] \n  15 -> 16 [size =\"22360064\"]\n  15 -> 17 [size =\"22360064\"]\n  16 [size=\"15101952\", alpha=\"0.04\", expect_size=\"7550976\"] \n  16 -> 19 [size =\"7550976\"]\n  16 -> 20 [size =\"7550976\"]\n  17 [size=\"93513728\", alpha=\"0.07\", expect_size=\"46756864\"] \n  17 -> 18 [size =\"46756864\"]\n  17 -> 20 [size =\"46756864\"]\n  18 [size=\"44228608\", alpha=\"0.19\", expect_size=\"22114304\"] \n  18 -> 23 [size =\"22114304\"]\n  19 [size=\"76130304\", alpha=\"0.19\", expect_size=\"38065152\"] \n  19 -> 22 [size =\"38065152\"]\n  20 [size=\"25583616\", alpha=\"0.03\", expect_size=\"12791808\"] \n  20 -> 21 [size =\"12791808\"]\n  21 [size=\"71759872\", alpha=\"0.13\", expect_size=\"35879936\"] \n  22 [size=\"21975040\", alpha=\"0.10\", expect_size=\"10987520\"] \n  22 -> 24 [size =\"10987520\"]\n  22 -> 25 [size =\"10987520\"]\n  23 [size=\"34541568\", alpha=\"0.06\", expect_size=\"17270784\"] \n  23 -> 24 [size =\"17270784\"]\n  24 [size=\"12306432\", alpha=\"0.13\", expect_size=\"6153216\"] \n  24 -> 26 [size =\"6153216\"]\n  24 -> 27 [size =\"6153216\"]\n  25 [size=\"95397888\", alpha=\"0.03\", expect_size=\"47698944\"] \n  25 -> 26 [size =\"47698944\"]\n  25 -> 27 [size =\"47698944\"]\n  26 [size=\"86943744\", alpha=\"0.14\", expect_size=\"43471872\"] \n  26 -> 28 [size =\"43471872\"]\n  27 [size=\"11087872\", alpha=\"0.09\", expect_size=\"5543936\"] \n  27 -> 28 [size =\"5543936\"]\n  27 -> 29 [size =\"5543936\"]\n  27 -> 30 [size =\"5543936\"]\n  28 [size=\"42156032\", alpha=\"0.10\", expect_size=\"21078016\"] \n  28 -> 31 [size =\"21078016\"]\n  29 [size=\"35805184\", alpha=\"0.13\", expect_size=\"17902592\"] \n  29 -> 33 [size =\"17902592\"]\n  30 [size=\"32419840\", alpha=\"0.20\", expect_size=\"16209920\"] \n  30 -> 32 [size =\"16209920\"]\n  31 [size=\"47980544\", alpha=\"0.05\", expect_size=\"23990272\"] \n  31 -> 34 [size =\"23990272\"]\n  32 [size=\"17051648\", alpha=\"0.18\", expect_size=\"8525824\"] \n  32 -> 35 [size =\"8525824\"]\n  33 [size=\"64425984\", alpha=\"0.10\", expect_size=\"32212992\"] \n  34 [size=\"91920384\", alpha=\"0.00\", expect_size=\"45960192\"] \n  35 [size=\"56926208\", alpha=\"0.17\", expect_size=\"28463104\"] \n  35 -> 36 [size =\"28463104\"]\n  35 -> 37 [size =\"28463104\"]\n  36 [size=\"69824512\", alpha=\"0.15\", expect_size=\"34912256\"] \n  36 -> 38 [size =\"34912256\"]\n  36 -> 40 [size =\"34912256\"]\n  37 [size=\"40009728\", alpha=\"0.11\", expect_size=\"20004864\"] \n  37 -> 39 [size =\"20004864\"]\n  38 [size=\"82225152\", alpha=\"0.14\", expect_size=\"41112576\"] \n  38 -> 41 [size =\"41112576\"]\n  38 -> 42 [size =\"41112576\"]\n  39 [size=\"33386496\", alpha=\"0.10\", expect_size=\"16693248\"] \n  40 [size=\"96757760\", alpha=\"0.10\", expect_size=\"48378880\"] \n  40 -> 41 [size =\"48378880\"]\n  41 [size=\"94748672\", alpha=\"0.03\", expect_size=\"47374336\"] \n  41 -> 43 [size =\"47374336\"]\n  41 -> 44 [size =\"47374336\"]\n  42 [size=\"23599104\", alpha=\"0.18\", expect_size=\"11799552\"] \n  42 -> 43 [size =\"11799552\"]\n  43 [size=\"14587904\", alpha=\"0.19\", expect_size=\"7293952\"] \n  43 -> 45 [size =\"7293952\"]\n  44 [size=\"63739904\", alpha=\"0.19\", expect_size=\"31869952\"] \n  45 [size=\"64651264\", alpha=\"0.18\", expect_size=\"32325632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107215360\", alpha=\"0.12\", expect_size=\"42886144\"] \n  1 -> 39 [size =\"42886144\"]\n  1 -> 41 [size =\"42886144\"]\n  1 -> 44 [size =\"42886144\"]\n  1 -> 45 [size =\"42886144\"]\n  2 [size=\"22807040\", alpha=\"0.09\", expect_size=\"9122816\"] \n  2 -> 37 [size =\"9122816\"]\n  2 -> 39 [size =\"9122816\"]\n  2 -> 41 [size =\"9122816\"]\n  2 -> 42 [size =\"9122816\"]\n  2 -> 44 [size =\"9122816\"]\n  2 -> 45 [size =\"9122816\"]\n  3 [size=\"42933760\", alpha=\"0.10\", expect_size=\"17173504\"] \n  3 -> 37 [size =\"17173504\"]\n  3 -> 39 [size =\"17173504\"]\n  3 -> 40 [size =\"17173504\"]\n  3 -> 41 [size =\"17173504\"]\n  3 -> 44 [size =\"17173504\"]\n  3 -> 45 [size =\"17173504\"]\n  4 [size=\"93091840\", alpha=\"0.11\", expect_size=\"37236736\"] \n  4 -> 37 [size =\"37236736\"]\n  4 -> 38 [size =\"37236736\"]\n  4 -> 39 [size =\"37236736\"]\n  4 -> 40 [size =\"37236736\"]\n  4 -> 44 [size =\"37236736\"]\n  4 -> 45 [size =\"37236736\"]\n  5 [size=\"25190400\", alpha=\"0.11\", expect_size=\"10076160\"] \n  5 -> 37 [size =\"10076160\"]\n  5 -> 38 [size =\"10076160\"]\n  5 -> 39 [size =\"10076160\"]\n  5 -> 40 [size =\"10076160\"]\n  5 -> 43 [size =\"10076160\"]\n  5 -> 44 [size =\"10076160\"]\n  5 -> 45 [size =\"10076160\"]\n  6 [size=\"18408960\", alpha=\"0.03\", expect_size=\"7363584\"] \n  6 -> 37 [size =\"7363584\"]\n  6 -> 38 [size =\"7363584\"]\n  6 -> 39 [size =\"7363584\"]\n  6 -> 40 [size =\"7363584\"]\n  6 -> 41 [size =\"7363584\"]\n  6 -> 45 [size =\"7363584\"]\n  7 [size=\"27013120\", alpha=\"0.04\", expect_size=\"10805248\"] \n  7 -> 37 [size =\"10805248\"]\n  7 -> 38 [size =\"10805248\"]\n  7 -> 39 [size =\"10805248\"]\n  7 -> 40 [size =\"10805248\"]\n  7 -> 41 [size =\"10805248\"]\n  7 -> 44 [size =\"10805248\"]\n  8 [size=\"59256320\", alpha=\"0.08\", expect_size=\"23702528\"] \n  8 -> 37 [size =\"23702528\"]\n  8 -> 38 [size =\"23702528\"]\n  8 -> 41 [size =\"23702528\"]\n  8 -> 42 [size =\"23702528\"]\n  8 -> 44 [size =\"23702528\"]\n  9 [size=\"76462080\", alpha=\"0.15\", expect_size=\"30584832\"] \n  9 -> 37 [size =\"30584832\"]\n  9 -> 38 [size =\"30584832\"]\n  9 -> 44 [size =\"30584832\"]\n  10 [size=\"39982080\", alpha=\"0.11\", expect_size=\"15992832\"] \n  10 -> 37 [size =\"15992832\"]\n  10 -> 38 [size =\"15992832\"]\n  10 -> 43 [size =\"15992832\"]\n  10 -> 44 [size =\"15992832\"]\n  10 -> 45 [size =\"15992832\"]\n  11 [size=\"67998720\", alpha=\"0.01\", expect_size=\"27199488\"] \n  11 -> 37 [size =\"27199488\"]\n  11 -> 38 [size =\"27199488\"]\n  11 -> 39 [size =\"27199488\"]\n  11 -> 41 [size =\"27199488\"]\n  11 -> 42 [size =\"27199488\"]\n  11 -> 44 [size =\"27199488\"]\n  11 -> 45 [size =\"27199488\"]\n  12 [size=\"23296000\", alpha=\"0.09\", expect_size=\"9318400\"] \n  12 -> 37 [size =\"9318400\"]\n  12 -> 38 [size =\"9318400\"]\n  12 -> 39 [size =\"9318400\"]\n  12 -> 40 [size =\"9318400\"]\n  12 -> 42 [size =\"9318400\"]\n  12 -> 44 [size =\"9318400\"]\n  13 [size=\"74506240\", alpha=\"0.14\", expect_size=\"29802496\"] \n  13 -> 38 [size =\"29802496\"]\n  13 -> 40 [size =\"29802496\"]\n  13 -> 41 [size =\"29802496\"]\n  13 -> 44 [size =\"29802496\"]\n  13 -> 45 [size =\"29802496\"]\n  14 [size=\"13852160\", alpha=\"0.07\", expect_size=\"5540864\"] \n  14 -> 37 [size =\"5540864\"]\n  14 -> 40 [size =\"5540864\"]\n  14 -> 41 [size =\"5540864\"]\n  14 -> 44 [size =\"5540864\"]\n  15 [size=\"76083200\", alpha=\"0.15\", expect_size=\"30433280\"] \n  15 -> 40 [size =\"30433280\"]\n  15 -> 40 [size =\"30433280\"]\n  15 -> 41 [size =\"30433280\"]\n  15 -> 44 [size =\"30433280\"]\n  16 [size=\"20416000\", alpha=\"0.10\", expect_size=\"8166400\"] \n  16 -> 37 [size =\"8166400\"]\n  16 -> 39 [size =\"8166400\"]\n  16 -> 40 [size =\"8166400\"]\n  16 -> 44 [size =\"8166400\"]\n  17 [size=\"35202560\", alpha=\"0.00\", expect_size=\"14081024\"] \n  17 -> 37 [size =\"14081024\"]\n  17 -> 38 [size =\"14081024\"]\n  17 -> 40 [size =\"14081024\"]\n  17 -> 41 [size =\"14081024\"]\n  17 -> 42 [size =\"14081024\"]\n  17 -> 44 [size =\"14081024\"]\n  17 -> 45 [size =\"14081024\"]\n  18 [size=\"61434880\", alpha=\"0.01\", expect_size=\"24573952\"] \n  18 -> 37 [size =\"24573952\"]\n  18 -> 40 [size =\"24573952\"]\n  18 -> 40 [size =\"24573952\"]\n  18 -> 44 [size =\"24573952\"]\n  18 -> 45 [size =\"24573952\"]\n  19 [size=\"110026240\", alpha=\"0.16\", expect_size=\"44010496\"] \n  19 -> 37 [size =\"44010496\"]\n  19 -> 39 [size =\"44010496\"]\n  19 -> 40 [size =\"44010496\"]\n  19 -> 42 [size =\"44010496\"]\n  19 -> 44 [size =\"44010496\"]\n  20 [size=\"77736960\", alpha=\"0.01\", expect_size=\"31094784\"] \n  20 -> 37 [size =\"31094784\"]\n  20 -> 38 [size =\"31094784\"]\n  20 -> 39 [size =\"31094784\"]\n  20 -> 40 [size =\"31094784\"]\n  20 -> 44 [size =\"31094784\"]\n  21 [size=\"26183680\", alpha=\"0.01\", expect_size=\"10473472\"] \n  21 -> 37 [size =\"10473472\"]\n  21 -> 38 [size =\"10473472\"]\n  21 -> 39 [size =\"10473472\"]\n  21 -> 40 [size =\"10473472\"]\n  21 -> 44 [size =\"10473472\"]\n  21 -> 45 [size =\"10473472\"]\n  22 [size=\"34664960\", alpha=\"0.03\", expect_size=\"13865984\"] \n  22 -> 37 [size =\"13865984\"]\n  22 -> 38 [size =\"13865984\"]\n  22 -> 39 [size =\"13865984\"]\n  22 -> 40 [size =\"13865984\"]\n  22 -> 44 [size =\"13865984\"]\n  22 -> 45 [size =\"13865984\"]\n  23 [size=\"89871360\", alpha=\"0.09\", expect_size=\"35948544\"] \n  23 -> 37 [size =\"35948544\"]\n  23 -> 38 [size =\"35948544\"]\n  23 -> 39 [size =\"35948544\"]\n  23 -> 40 [size =\"35948544\"]\n  23 -> 44 [size =\"35948544\"]\n  23 -> 45 [size =\"35948544\"]\n  24 [size=\"53396480\", alpha=\"0.10\", expect_size=\"21358592\"] \n  24 -> 37 [size =\"21358592\"]\n  24 -> 38 [size =\"21358592\"]\n  24 -> 39 [size =\"21358592\"]\n  24 -> 40 [size =\"21358592\"]\n  24 -> 41 [size =\"21358592\"]\n  24 -> 44 [size =\"21358592\"]\n  24 -> 45 [size =\"21358592\"]\n  25 [size=\"97308160\", alpha=\"0.12\", expect_size=\"38923264\"] \n  25 -> 37 [size =\"38923264\"]\n  25 -> 38 [size =\"38923264\"]\n  25 -> 39 [size =\"38923264\"]\n  25 -> 40 [size =\"38923264\"]\n  25 -> 41 [size =\"38923264\"]\n  25 -> 44 [size =\"38923264\"]\n  26 [size=\"68029440\", alpha=\"0.16\", expect_size=\"27211776\"] \n  26 -> 37 [size =\"27211776\"]\n  26 -> 38 [size =\"27211776\"]\n  26 -> 39 [size =\"27211776\"]\n  26 -> 40 [size =\"27211776\"]\n  26 -> 41 [size =\"27211776\"]\n  26 -> 43 [size =\"27211776\"]\n  26 -> 44 [size =\"27211776\"]\n  26 -> 45 [size =\"27211776\"]\n  27 [size=\"124065280\", alpha=\"0.01\", expect_size=\"49626112\"] \n  27 -> 37 [size =\"49626112\"]\n  27 -> 38 [size =\"49626112\"]\n  27 -> 39 [size =\"49626112\"]\n  27 -> 40 [size =\"49626112\"]\n  27 -> 41 [size =\"49626112\"]\n  27 -> 42 [size =\"49626112\"]\n  27 -> 44 [size =\"49626112\"]\n  28 [size=\"125009920\", alpha=\"0.15\", expect_size=\"50003968\"] \n  28 -> 38 [size =\"50003968\"]\n  28 -> 39 [size =\"50003968\"]\n  28 -> 39 [size =\"50003968\"]\n  28 -> 40 [size =\"50003968\"]\n  28 -> 41 [size =\"50003968\"]\n  29 [size=\"128046080\", alpha=\"0.19\", expect_size=\"51218432\"] \n  29 -> 39 [size =\"51218432\"]\n  29 -> 40 [size =\"51218432\"]\n  29 -> 41 [size =\"51218432\"]\n  29 -> 42 [size =\"51218432\"]\n  29 -> 45 [size =\"51218432\"]\n  30 [size=\"106931200\", alpha=\"0.08\", expect_size=\"42772480\"] \n  30 -> 37 [size =\"42772480\"]\n  30 -> 38 [size =\"42772480\"]\n  30 -> 39 [size =\"42772480\"]\n  30 -> 40 [size =\"42772480\"]\n  30 -> 41 [size =\"42772480\"]\n  30 -> 44 [size =\"42772480\"]\n  30 -> 45 [size =\"42772480\"]\n  31 [size=\"110494720\", alpha=\"0.06\", expect_size=\"44197888\"] \n  31 -> 38 [size =\"44197888\"]\n  31 -> 39 [size =\"44197888\"]\n  31 -> 40 [size =\"44197888\"]\n  31 -> 40 [size =\"44197888\"]\n  31 -> 41 [size =\"44197888\"]\n  31 -> 43 [size =\"44197888\"]\n  32 [size=\"114880000\", alpha=\"0.06\", expect_size=\"45952000\"] \n  32 -> 37 [size =\"45952000\"]\n  32 -> 38 [size =\"45952000\"]\n  32 -> 40 [size =\"45952000\"]\n  32 -> 41 [size =\"45952000\"]\n  32 -> 41 [size =\"45952000\"]\n  32 -> 44 [size =\"45952000\"]\n  33 [size=\"129789440\", alpha=\"0.16\", expect_size=\"51915776\"] \n  33 -> 38 [size =\"51915776\"]\n  33 -> 38 [size =\"51915776\"]\n  33 -> 39 [size =\"51915776\"]\n  33 -> 40 [size =\"51915776\"]\n  33 -> 41 [size =\"51915776\"]\n  33 -> 44 [size =\"51915776\"]\n  33 -> 45 [size =\"51915776\"]\n  34 [size=\"67084800\", alpha=\"0.07\", expect_size=\"26833920\"] \n  34 -> 37 [size =\"26833920\"]\n  34 -> 38 [size =\"26833920\"]\n  34 -> 39 [size =\"26833920\"]\n  34 -> 40 [size =\"26833920\"]\n  34 -> 41 [size =\"26833920\"]\n  34 -> 44 [size =\"26833920\"]\n  34 -> 45 [size =\"26833920\"]\n  35 [size=\"124718080\", alpha=\"0.08\", expect_size=\"49887232\"] \n  35 -> 37 [size =\"49887232\"]\n  35 -> 38 [size =\"49887232\"]\n  35 -> 39 [size =\"49887232\"]\n  35 -> 40 [size =\"49887232\"]\n  35 -> 41 [size =\"49887232\"]\n  35 -> 44 [size =\"49887232\"]\n  36 [size=\"78842880\", alpha=\"0.10\", expect_size=\"31537152\"] \n  36 -> 38 [size =\"31537152\"]\n  36 -> 38 [size =\"31537152\"]\n  36 -> 39 [size =\"31537152\"]\n  36 -> 40 [size =\"31537152\"]\n  36 -> 41 [size =\"31537152\"]\n  36 -> 44 [size =\"31537152\"]\n  36 -> 45 [size =\"31537152\"]\n  37 [size=\"52733440\", alpha=\"0.16\", expect_size=\"21093376\"] \n  38 [size=\"60290560\", alpha=\"0.10\", expect_size=\"24116224\"] \n  39 [size=\"29701120\", alpha=\"0.01\", expect_size=\"11880448\"] \n  40 [size=\"24325120\", alpha=\"0.03\", expect_size=\"9730048\"] \n  41 [size=\"71034880\", alpha=\"0.07\", expect_size=\"28413952\"] \n  42 [size=\"106759680\", alpha=\"0.14\", expect_size=\"42703872\"] \n  43 [size=\"23726080\", alpha=\"0.15\", expect_size=\"9490432\"] \n  44 [size=\"119262720\", alpha=\"0.02\", expect_size=\"47705088\"] \n  45 [size=\"40225280\", alpha=\"0.04\", expect_size=\"16090112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60541440\", alpha=\"0.20\", expect_size=\"24216576\"] \n  1 -> 32 [size =\"24216576\"]\n  1 -> 38 [size =\"24216576\"]\n  1 -> 40 [size =\"24216576\"]\n  1 -> 42 [size =\"24216576\"]\n  1 -> 43 [size =\"24216576\"]\n  1 -> 44 [size =\"24216576\"]\n  2 [size=\"15769600\", alpha=\"0.10\", expect_size=\"6307840\"] \n  2 -> 32 [size =\"6307840\"]\n  2 -> 35 [size =\"6307840\"]\n  2 -> 37 [size =\"6307840\"]\n  2 -> 38 [size =\"6307840\"]\n  2 -> 40 [size =\"6307840\"]\n  2 -> 43 [size =\"6307840\"]\n  3 [size=\"55818240\", alpha=\"0.20\", expect_size=\"22327296\"] \n  3 -> 31 [size =\"22327296\"]\n  3 -> 32 [size =\"22327296\"]\n  3 -> 35 [size =\"22327296\"]\n  3 -> 37 [size =\"22327296\"]\n  3 -> 39 [size =\"22327296\"]\n  3 -> 43 [size =\"22327296\"]\n  4 [size=\"72023040\", alpha=\"0.12\", expect_size=\"28809216\"] \n  4 -> 32 [size =\"28809216\"]\n  4 -> 35 [size =\"28809216\"]\n  4 -> 37 [size =\"28809216\"]\n  4 -> 38 [size =\"28809216\"]\n  4 -> 39 [size =\"28809216\"]\n  4 -> 41 [size =\"28809216\"]\n  4 -> 44 [size =\"28809216\"]\n  5 [size=\"81804800\", alpha=\"0.18\", expect_size=\"32721920\"] \n  5 -> 32 [size =\"32721920\"]\n  5 -> 35 [size =\"32721920\"]\n  5 -> 37 [size =\"32721920\"]\n  5 -> 38 [size =\"32721920\"]\n  5 -> 41 [size =\"32721920\"]\n  5 -> 41 [size =\"32721920\"]\n  5 -> 43 [size =\"32721920\"]\n  5 -> 45 [size =\"32721920\"]\n  6 [size=\"80238080\", alpha=\"0.19\", expect_size=\"32095232\"] \n  6 -> 31 [size =\"32095232\"]\n  6 -> 32 [size =\"32095232\"]\n  6 -> 35 [size =\"32095232\"]\n  6 -> 37 [size =\"32095232\"]\n  6 -> 41 [size =\"32095232\"]\n  6 -> 44 [size =\"32095232\"]\n  7 [size=\"102374400\", alpha=\"0.12\", expect_size=\"40949760\"] \n  7 -> 32 [size =\"40949760\"]\n  7 -> 32 [size =\"40949760\"]\n  7 -> 36 [size =\"40949760\"]\n  7 -> 37 [size =\"40949760\"]\n  7 -> 40 [size =\"40949760\"]\n  7 -> 43 [size =\"40949760\"]\n  8 [size=\"86919680\", alpha=\"0.17\", expect_size=\"34767872\"] \n  8 -> 32 [size =\"34767872\"]\n  8 -> 36 [size =\"34767872\"]\n  8 -> 39 [size =\"34767872\"]\n  8 -> 45 [size =\"34767872\"]\n  9 [size=\"124759040\", alpha=\"0.08\", expect_size=\"49903616\"] \n  9 -> 32 [size =\"49903616\"]\n  9 -> 33 [size =\"49903616\"]\n  9 -> 36 [size =\"49903616\"]\n  9 -> 38 [size =\"49903616\"]\n  9 -> 40 [size =\"49903616\"]\n  9 -> 41 [size =\"49903616\"]\n  10 [size=\"112483840\", alpha=\"0.19\", expect_size=\"44993536\"] \n  10 -> 32 [size =\"44993536\"]\n  10 -> 36 [size =\"44993536\"]\n  10 -> 37 [size =\"44993536\"]\n  10 -> 38 [size =\"44993536\"]\n  10 -> 41 [size =\"44993536\"]\n  11 [size=\"60579840\", alpha=\"0.12\", expect_size=\"24231936\"] \n  11 -> 32 [size =\"24231936\"]\n  11 -> 33 [size =\"24231936\"]\n  11 -> 35 [size =\"24231936\"]\n  11 -> 36 [size =\"24231936\"]\n  11 -> 37 [size =\"24231936\"]\n  11 -> 38 [size =\"24231936\"]\n  11 -> 43 [size =\"24231936\"]\n  11 -> 44 [size =\"24231936\"]\n  12 [size=\"58764800\", alpha=\"0.04\", expect_size=\"23505920\"] \n  12 -> 32 [size =\"23505920\"]\n  12 -> 33 [size =\"23505920\"]\n  12 -> 35 [size =\"23505920\"]\n  12 -> 37 [size =\"23505920\"]\n  12 -> 38 [size =\"23505920\"]\n  12 -> 38 [size =\"23505920\"]\n  12 -> 41 [size =\"23505920\"]\n  13 [size=\"119953920\", alpha=\"0.12\", expect_size=\"47981568\"] \n  13 -> 32 [size =\"47981568\"]\n  13 -> 37 [size =\"47981568\"]\n  13 -> 38 [size =\"47981568\"]\n  13 -> 39 [size =\"47981568\"]\n  13 -> 40 [size =\"47981568\"]\n  13 -> 41 [size =\"47981568\"]\n  13 -> 42 [size =\"47981568\"]\n  13 -> 45 [size =\"47981568\"]\n  14 [size=\"119744000\", alpha=\"0.02\", expect_size=\"47897600\"] \n  14 -> 32 [size =\"47897600\"]\n  14 -> 36 [size =\"47897600\"]\n  14 -> 45 [size =\"47897600\"]\n  15 [size=\"75299840\", alpha=\"0.07\", expect_size=\"30119936\"] \n  15 -> 36 [size =\"30119936\"]\n  15 -> 38 [size =\"30119936\"]\n  15 -> 39 [size =\"30119936\"]\n  15 -> 45 [size =\"30119936\"]\n  16 [size=\"61388800\", alpha=\"0.10\", expect_size=\"24555520\"] \n  16 -> 32 [size =\"24555520\"]\n  16 -> 39 [size =\"24555520\"]\n  16 -> 41 [size =\"24555520\"]\n  16 -> 43 [size =\"24555520\"]\n  17 [size=\"54095360\", alpha=\"0.02\", expect_size=\"21638144\"] \n  17 -> 34 [size =\"21638144\"]\n  17 -> 37 [size =\"21638144\"]\n  17 -> 40 [size =\"21638144\"]\n  18 [size=\"126684160\", alpha=\"0.02\", expect_size=\"50673664\"] \n  18 -> 33 [size =\"50673664\"]\n  18 -> 35 [size =\"50673664\"]\n  18 -> 36 [size =\"50673664\"]\n  18 -> 39 [size =\"50673664\"]\n  18 -> 41 [size =\"50673664\"]\n  19 [size=\"109680640\", alpha=\"0.05\", expect_size=\"43872256\"] \n  19 -> 35 [size =\"43872256\"]\n  19 -> 39 [size =\"43872256\"]\n  19 -> 40 [size =\"43872256\"]\n  19 -> 41 [size =\"43872256\"]\n  20 [size=\"38248960\", alpha=\"0.14\", expect_size=\"15299584\"] \n  20 -> 32 [size =\"15299584\"]\n  20 -> 40 [size =\"15299584\"]\n  20 -> 40 [size =\"15299584\"]\n  21 [size=\"31808000\", alpha=\"0.11\", expect_size=\"12723200\"] \n  21 -> 32 [size =\"12723200\"]\n  21 -> 40 [size =\"12723200\"]\n  21 -> 41 [size =\"12723200\"]\n  21 -> 43 [size =\"12723200\"]\n  22 [size=\"101619200\", alpha=\"0.08\", expect_size=\"40647680\"] \n  22 -> 34 [size =\"40647680\"]\n  22 -> 36 [size =\"40647680\"]\n  22 -> 38 [size =\"40647680\"]\n  22 -> 41 [size =\"40647680\"]\n  22 -> 43 [size =\"40647680\"]\n  22 -> 45 [size =\"40647680\"]\n  23 [size=\"126031360\", alpha=\"0.12\", expect_size=\"50412544\"] \n  23 -> 32 [size =\"50412544\"]\n  23 -> 33 [size =\"50412544\"]\n  23 -> 36 [size =\"50412544\"]\n  23 -> 37 [size =\"50412544\"]\n  23 -> 38 [size =\"50412544\"]\n  23 -> 43 [size =\"50412544\"]\n  23 -> 45 [size =\"50412544\"]\n  24 [size=\"78361600\", alpha=\"0.07\", expect_size=\"31344640\"] \n  24 -> 31 [size =\"31344640\"]\n  24 -> 33 [size =\"31344640\"]\n  24 -> 36 [size =\"31344640\"]\n  24 -> 37 [size =\"31344640\"]\n  24 -> 38 [size =\"31344640\"]\n  24 -> 40 [size =\"31344640\"]\n  24 -> 45 [size =\"31344640\"]\n  25 [size=\"87388160\", alpha=\"0.13\", expect_size=\"34955264\"] \n  25 -> 35 [size =\"34955264\"]\n  25 -> 36 [size =\"34955264\"]\n  25 -> 38 [size =\"34955264\"]\n  25 -> 39 [size =\"34955264\"]\n  25 -> 41 [size =\"34955264\"]\n  26 [size=\"13260800\", alpha=\"0.10\", expect_size=\"5304320\"] \n  26 -> 33 [size =\"5304320\"]\n  26 -> 34 [size =\"5304320\"]\n  26 -> 36 [size =\"5304320\"]\n  26 -> 37 [size =\"5304320\"]\n  26 -> 38 [size =\"5304320\"]\n  26 -> 39 [size =\"5304320\"]\n  26 -> 40 [size =\"5304320\"]\n  26 -> 41 [size =\"5304320\"]\n  26 -> 42 [size =\"5304320\"]\n  27 [size=\"69578240\", alpha=\"0.03\", expect_size=\"27831296\"] \n  27 -> 38 [size =\"27831296\"]\n  27 -> 41 [size =\"27831296\"]\n  27 -> 42 [size =\"27831296\"]\n  27 -> 43 [size =\"27831296\"]\n  28 [size=\"83107840\", alpha=\"0.08\", expect_size=\"33243136\"] \n  28 -> 33 [size =\"33243136\"]\n  28 -> 36 [size =\"33243136\"]\n  28 -> 38 [size =\"33243136\"]\n  28 -> 40 [size =\"33243136\"]\n  28 -> 41 [size =\"33243136\"]\n  28 -> 45 [size =\"33243136\"]\n  29 [size=\"93388800\", alpha=\"0.12\", expect_size=\"37355520\"] \n  29 -> 31 [size =\"37355520\"]\n  29 -> 32 [size =\"37355520\"]\n  29 -> 34 [size =\"37355520\"]\n  29 -> 36 [size =\"37355520\"]\n  29 -> 38 [size =\"37355520\"]\n  29 -> 40 [size =\"37355520\"]\n  29 -> 42 [size =\"37355520\"]\n  29 -> 45 [size =\"37355520\"]\n  30 [size=\"125061120\", alpha=\"0.13\", expect_size=\"50024448\"] \n  30 -> 38 [size =\"50024448\"]\n  30 -> 40 [size =\"50024448\"]\n  30 -> 45 [size =\"50024448\"]\n  31 [size=\"90165760\", alpha=\"0.02\", expect_size=\"36066304\"] \n  32 [size=\"36134400\", alpha=\"0.19\", expect_size=\"14453760\"] \n  33 [size=\"83599360\", alpha=\"0.14\", expect_size=\"33439744\"] \n  34 [size=\"39342080\", alpha=\"0.06\", expect_size=\"15736832\"] \n  35 [size=\"80243200\", alpha=\"0.10\", expect_size=\"32097280\"] \n  36 [size=\"39073280\", alpha=\"0.01\", expect_size=\"15629312\"] \n  37 [size=\"100928000\", alpha=\"0.00\", expect_size=\"40371200\"] \n  38 [size=\"119150080\", alpha=\"0.18\", expect_size=\"47660032\"] \n  39 [size=\"49587200\", alpha=\"0.12\", expect_size=\"19834880\"] \n  40 [size=\"121858560\", alpha=\"0.11\", expect_size=\"48743424\"] \n  41 [size=\"81448960\", alpha=\"0.12\", expect_size=\"32579584\"] \n  42 [size=\"93798400\", alpha=\"0.09\", expect_size=\"37519360\"] \n  43 [size=\"86602240\", alpha=\"0.05\", expect_size=\"34640896\"] \n  44 [size=\"48739840\", alpha=\"0.11\", expect_size=\"19495936\"] \n  45 [size=\"86848000\", alpha=\"0.11\", expect_size=\"34739200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48642048\", alpha=\"0.11\", expect_size=\"24321024\"] \n  1 -> 4 [size =\"24321024\"]\n  1 -> 5 [size =\"24321024\"]\n  2 [size=\"92780544\", alpha=\"0.06\", expect_size=\"46390272\"] \n  2 -> 3 [size =\"46390272\"]\n  2 -> 4 [size =\"46390272\"]\n  2 -> 5 [size =\"46390272\"]\n  2 -> 6 [size =\"46390272\"]\n  3 [size=\"92737536\", alpha=\"0.02\", expect_size=\"46368768\"] \n  4 [size=\"102729728\", alpha=\"0.07\", expect_size=\"51364864\"] \n  5 [size=\"92186624\", alpha=\"0.13\", expect_size=\"46093312\"] \n  5 -> 7 [size =\"46093312\"]\n  6 [size=\"31336448\", alpha=\"0.20\", expect_size=\"15668224\"] \n  6 -> 7 [size =\"15668224\"]\n  7 [size=\"89063424\", alpha=\"0.01\", expect_size=\"44531712\"] \n  7 -> 8 [size =\"44531712\"]\n  7 -> 9 [size =\"44531712\"]\n  8 [size=\"91000832\", alpha=\"0.16\", expect_size=\"45500416\"] \n  8 -> 10 [size =\"45500416\"]\n  8 -> 11 [size =\"45500416\"]\n  9 [size=\"65581056\", alpha=\"0.11\", expect_size=\"32790528\"] \n  9 -> 10 [size =\"32790528\"]\n  9 -> 11 [size =\"32790528\"]\n  10 [size=\"41945088\", alpha=\"0.00\", expect_size=\"20972544\"] \n  10 -> 12 [size =\"20972544\"]\n  10 -> 13 [size =\"20972544\"]\n  11 [size=\"19916800\", alpha=\"0.05\", expect_size=\"9958400\"] \n  11 -> 14 [size =\"9958400\"]\n  11 -> 15 [size =\"9958400\"]\n  12 [size=\"69564416\", alpha=\"0.04\", expect_size=\"34782208\"] \n  12 -> 17 [size =\"34782208\"]\n  13 [size=\"99751936\", alpha=\"0.15\", expect_size=\"49875968\"] \n  13 -> 16 [size =\"49875968\"]\n  14 [size=\"13410304\", alpha=\"0.08\", expect_size=\"6705152\"] \n  15 [size=\"46700544\", alpha=\"0.02\", expect_size=\"23350272\"] \n  16 [size=\"12644352\", alpha=\"0.15\", expect_size=\"6322176\"] \n  16 -> 18 [size =\"6322176\"]\n  16 -> 19 [size =\"6322176\"]\n  16 -> 20 [size =\"6322176\"]\n  17 [size=\"104734720\", alpha=\"0.17\", expect_size=\"52367360\"] \n  17 -> 18 [size =\"52367360\"]\n  17 -> 20 [size =\"52367360\"]\n  18 [size=\"13506560\", alpha=\"0.15\", expect_size=\"6753280\"] \n  18 -> 21 [size =\"6753280\"]\n  18 -> 22 [size =\"6753280\"]\n  19 [size=\"90456064\", alpha=\"0.15\", expect_size=\"45228032\"] \n  20 [size=\"45930496\", alpha=\"0.17\", expect_size=\"22965248\"] \n  20 -> 22 [size =\"22965248\"]\n  21 [size=\"47677440\", alpha=\"0.07\", expect_size=\"23838720\"] \n  21 -> 23 [size =\"23838720\"]\n  22 [size=\"72398848\", alpha=\"0.15\", expect_size=\"36199424\"] \n  22 -> 23 [size =\"36199424\"]\n  23 [size=\"90411008\", alpha=\"0.20\", expect_size=\"45205504\"] \n  23 -> 24 [size =\"45205504\"]\n  24 [size=\"67770368\", alpha=\"0.04\", expect_size=\"33885184\"] \n  24 -> 25 [size =\"33885184\"]\n  24 -> 26 [size =\"33885184\"]\n  24 -> 27 [size =\"33885184\"]\n  25 [size=\"13443072\", alpha=\"0.06\", expect_size=\"6721536\"] \n  26 [size=\"22470656\", alpha=\"0.12\", expect_size=\"11235328\"] \n  26 -> 29 [size =\"11235328\"]\n  26 -> 30 [size =\"11235328\"]\n  27 [size=\"91469824\", alpha=\"0.15\", expect_size=\"45734912\"] \n  27 -> 28 [size =\"45734912\"]\n  27 -> 29 [size =\"45734912\"]\n  28 [size=\"76357632\", alpha=\"0.15\", expect_size=\"38178816\"] \n  28 -> 31 [size =\"38178816\"]\n  28 -> 33 [size =\"38178816\"]\n  29 [size=\"54878208\", alpha=\"0.07\", expect_size=\"27439104\"] \n  29 -> 31 [size =\"27439104\"]\n  29 -> 32 [size =\"27439104\"]\n  30 [size=\"33331200\", alpha=\"0.05\", expect_size=\"16665600\"] \n  30 -> 31 [size =\"16665600\"]\n  31 [size=\"21112832\", alpha=\"0.05\", expect_size=\"10556416\"] \n  32 [size=\"56375296\", alpha=\"0.18\", expect_size=\"28187648\"] \n  33 [size=\"32675840\", alpha=\"0.10\", expect_size=\"16337920\"] \n  33 -> 34 [size =\"16337920\"]\n  34 [size=\"32264192\", alpha=\"0.02\", expect_size=\"16132096\"] \n  34 -> 35 [size =\"16132096\"]\n  34 -> 36 [size =\"16132096\"]\n  34 -> 37 [size =\"16132096\"]\n  35 [size=\"53014528\", alpha=\"0.02\", expect_size=\"26507264\"] \n  35 -> 38 [size =\"26507264\"]\n  36 [size=\"82255872\", alpha=\"0.03\", expect_size=\"41127936\"] \n  36 -> 39 [size =\"41127936\"]\n  37 [size=\"46471168\", alpha=\"0.03\", expect_size=\"23235584\"] \n  37 -> 38 [size =\"23235584\"]\n  37 -> 39 [size =\"23235584\"]\n  37 -> 40 [size =\"23235584\"]\n  38 [size=\"24240128\", alpha=\"0.04\", expect_size=\"12120064\"] \n  38 -> 41 [size =\"12120064\"]\n  39 [size=\"96075776\", alpha=\"0.02\", expect_size=\"48037888\"] \n  39 -> 41 [size =\"48037888\"]\n  40 [size=\"33959936\", alpha=\"0.08\", expect_size=\"16979968\"] \n  41 [size=\"58097664\", alpha=\"0.01\", expect_size=\"29048832\"] \n  41 -> 42 [size =\"29048832\"]\n  41 -> 43 [size =\"29048832\"]\n  42 [size=\"83546112\", alpha=\"0.08\", expect_size=\"41773056\"] \n  42 -> 44 [size =\"41773056\"]\n  42 -> 45 [size =\"41773056\"]\n  43 [size=\"75016192\", alpha=\"0.11\", expect_size=\"37508096\"] \n  43 -> 44 [size =\"37508096\"]\n  43 -> 45 [size =\"37508096\"]\n  44 [size=\"27402240\", alpha=\"0.07\", expect_size=\"13701120\"] \n  45 [size=\"37998592\", alpha=\"0.03\", expect_size=\"18999296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106841600\", alpha=\"0.17\", expect_size=\"42736640\"] \n  1 -> 2 [size =\"42736640\"]\n  2 [size=\"64965120\", alpha=\"0.09\", expect_size=\"25986048\"] \n  2 -> 3 [size =\"25986048\"]\n  3 [size=\"73113600\", alpha=\"0.18\", expect_size=\"29245440\"] \n  3 -> 4 [size =\"29245440\"]\n  4 [size=\"30415360\", alpha=\"0.14\", expect_size=\"12166144\"] \n  4 -> 5 [size =\"12166144\"]\n  5 [size=\"127073280\", alpha=\"0.01\", expect_size=\"50829312\"] \n  5 -> 6 [size =\"50829312\"]\n  6 [size=\"84477440\", alpha=\"0.07\", expect_size=\"33790976\"] \n  6 -> 7 [size =\"33790976\"]\n  7 [size=\"67960320\", alpha=\"0.11\", expect_size=\"27184128\"] \n  7 -> 8 [size =\"27184128\"]\n  8 [size=\"78740480\", alpha=\"0.18\", expect_size=\"31496192\"] \n  8 -> 9 [size =\"31496192\"]\n  9 [size=\"114488320\", alpha=\"0.19\", expect_size=\"45795328\"] \n  9 -> 10 [size =\"45795328\"]\n  10 [size=\"97338880\", alpha=\"0.02\", expect_size=\"38935552\"] \n  10 -> 11 [size =\"38935552\"]\n  11 [size=\"62374400\", alpha=\"0.18\", expect_size=\"24949760\"] \n  11 -> 12 [size =\"24949760\"]\n  12 [size=\"42844160\", alpha=\"0.12\", expect_size=\"17137664\"] \n  12 -> 13 [size =\"17137664\"]\n  13 [size=\"95552000\", alpha=\"0.13\", expect_size=\"38220800\"] \n  13 -> 14 [size =\"38220800\"]\n  14 [size=\"84395520\", alpha=\"0.04\", expect_size=\"33758208\"] \n  14 -> 15 [size =\"33758208\"]\n  15 [size=\"50974720\", alpha=\"0.14\", expect_size=\"20389888\"] \n  15 -> 16 [size =\"20389888\"]\n  16 [size=\"54113280\", alpha=\"0.03\", expect_size=\"21645312\"] \n  16 -> 17 [size =\"21645312\"]\n  17 [size=\"92958720\", alpha=\"0.03\", expect_size=\"37183488\"] \n  17 -> 18 [size =\"37183488\"]\n  18 [size=\"42058240\", alpha=\"0.02\", expect_size=\"16823296\"] \n  18 -> 19 [size =\"16823296\"]\n  19 [size=\"27704320\", alpha=\"0.13\", expect_size=\"11081728\"] \n  19 -> 20 [size =\"11081728\"]\n  20 [size=\"19343360\", alpha=\"0.19\", expect_size=\"7737344\"] \n  20 -> 21 [size =\"7737344\"]\n  21 [size=\"28933120\", alpha=\"0.00\", expect_size=\"11573248\"] \n  21 -> 22 [size =\"11573248\"]\n  22 [size=\"15416320\", alpha=\"0.11\", expect_size=\"6166528\"] \n  22 -> 23 [size =\"6166528\"]\n  23 [size=\"84976640\", alpha=\"0.11\", expect_size=\"33990656\"] \n  23 -> 24 [size =\"33990656\"]\n  24 [size=\"46469120\", alpha=\"0.15\", expect_size=\"18587648\"] \n  24 -> 25 [size =\"18587648\"]\n  25 [size=\"67484160\", alpha=\"0.17\", expect_size=\"26993664\"] \n  25 -> 26 [size =\"26993664\"]\n  26 [size=\"29875200\", alpha=\"0.12\", expect_size=\"11950080\"] \n  26 -> 27 [size =\"11950080\"]\n  27 [size=\"44669440\", alpha=\"0.16\", expect_size=\"17867776\"] \n  27 -> 28 [size =\"17867776\"]\n  28 [size=\"60096000\", alpha=\"0.12\", expect_size=\"24038400\"] \n  28 -> 29 [size =\"24038400\"]\n  29 [size=\"73303040\", alpha=\"0.04\", expect_size=\"29321216\"] \n  29 -> 30 [size =\"29321216\"]\n  30 [size=\"33617920\", alpha=\"0.11\", expect_size=\"13447168\"] \n  30 -> 31 [size =\"13447168\"]\n  31 [size=\"27189760\", alpha=\"0.06\", expect_size=\"10875904\"] \n  31 -> 32 [size =\"10875904\"]\n  32 [size=\"29788160\", alpha=\"0.06\", expect_size=\"11915264\"] \n  32 -> 33 [size =\"11915264\"]\n  33 [size=\"93271040\", alpha=\"0.00\", expect_size=\"37308416\"] \n  33 -> 34 [size =\"37308416\"]\n  34 [size=\"41715200\", alpha=\"0.07\", expect_size=\"16686080\"] \n  34 -> 35 [size =\"16686080\"]\n  35 [size=\"128360960\", alpha=\"0.19\", expect_size=\"51344384\"] \n  35 -> 36 [size =\"51344384\"]\n  36 [size=\"113282560\", alpha=\"0.19\", expect_size=\"45313024\"] \n  36 -> 37 [size =\"45313024\"]\n  37 [size=\"67850240\", alpha=\"0.12\", expect_size=\"27140096\"] \n  37 -> 38 [size =\"27140096\"]\n  38 [size=\"46914560\", alpha=\"0.10\", expect_size=\"18765824\"] \n  38 -> 39 [size =\"18765824\"]\n  39 [size=\"116116480\", alpha=\"0.10\", expect_size=\"46446592\"] \n  39 -> 40 [size =\"46446592\"]\n  40 [size=\"22942720\", alpha=\"0.12\", expect_size=\"9177088\"] \n  40 -> 41 [size =\"9177088\"]\n  41 [size=\"87557120\", alpha=\"0.16\", expect_size=\"35022848\"] \n  41 -> 42 [size =\"35022848\"]\n  42 [size=\"123297280\", alpha=\"0.01\", expect_size=\"49318912\"] \n  42 -> 43 [size =\"49318912\"]\n  43 [size=\"41937920\", alpha=\"0.18\", expect_size=\"16775168\"] \n  43 -> 44 [size =\"16775168\"]\n  44 [size=\"43891200\", alpha=\"0.00\", expect_size=\"17556480\"] \n  44 -> 45 [size =\"17556480\"]\n  45 [size=\"82480640\", alpha=\"0.12\", expect_size=\"32992256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85456213\", alpha=\"0.10\", expect_size=\"25636864\"] \n  1 -> 16 [size =\"25636864\"]\n  1 -> 18 [size =\"25636864\"]\n  1 -> 22 [size =\"25636864\"]\n  1 -> 24 [size =\"25636864\"]\n  1 -> 25 [size =\"25636864\"]\n  2 [size=\"152674987\", alpha=\"0.18\", expect_size=\"45802496\"] \n  2 -> 15 [size =\"45802496\"]\n  2 -> 22 [size =\"45802496\"]\n  2 -> 24 [size =\"45802496\"]\n  2 -> 25 [size =\"45802496\"]\n  2 -> 25 [size =\"45802496\"]\n  3 [size=\"113506987\", alpha=\"0.08\", expect_size=\"34052096\"] \n  3 -> 15 [size =\"34052096\"]\n  3 -> 20 [size =\"34052096\"]\n  3 -> 21 [size =\"34052096\"]\n  3 -> 25 [size =\"34052096\"]\n  4 [size=\"58903893\", alpha=\"0.07\", expect_size=\"17671168\"] \n  4 -> 16 [size =\"17671168\"]\n  4 -> 17 [size =\"17671168\"]\n  4 -> 21 [size =\"17671168\"]\n  4 -> 22 [size =\"17671168\"]\n  4 -> 23 [size =\"17671168\"]\n  4 -> 24 [size =\"17671168\"]\n  4 -> 25 [size =\"17671168\"]\n  5 [size=\"51442347\", alpha=\"0.17\", expect_size=\"15432704\"] \n  5 -> 15 [size =\"15432704\"]\n  5 -> 16 [size =\"15432704\"]\n  5 -> 17 [size =\"15432704\"]\n  5 -> 22 [size =\"15432704\"]\n  6 [size=\"74304853\", alpha=\"0.15\", expect_size=\"22291456\"] \n  6 -> 24 [size =\"22291456\"]\n  7 [size=\"154122240\", alpha=\"0.01\", expect_size=\"46236672\"] \n  7 -> 21 [size =\"46236672\"]\n  7 -> 22 [size =\"46236672\"]\n  7 -> 24 [size =\"46236672\"]\n  8 [size=\"144005120\", alpha=\"0.01\", expect_size=\"43201536\"] \n  8 -> 15 [size =\"43201536\"]\n  8 -> 20 [size =\"43201536\"]\n  8 -> 22 [size =\"43201536\"]\n  8 -> 24 [size =\"43201536\"]\n  8 -> 25 [size =\"43201536\"]\n  9 [size=\"18138453\", alpha=\"0.13\", expect_size=\"5441536\"] \n  9 -> 15 [size =\"5441536\"]\n  9 -> 18 [size =\"5441536\"]\n  9 -> 20 [size =\"5441536\"]\n  9 -> 22 [size =\"5441536\"]\n  9 -> 24 [size =\"5441536\"]\n  9 -> 25 [size =\"5441536\"]\n  10 [size=\"103185067\", alpha=\"0.06\", expect_size=\"30955520\"] \n  10 -> 21 [size =\"30955520\"]\n  10 -> 23 [size =\"30955520\"]\n  11 [size=\"119197013\", alpha=\"0.15\", expect_size=\"35759104\"] \n  11 -> 19 [size =\"35759104\"]\n  11 -> 22 [size =\"35759104\"]\n  11 -> 25 [size =\"35759104\"]\n  12 [size=\"38249813\", alpha=\"0.12\", expect_size=\"11474944\"] \n  12 -> 15 [size =\"11474944\"]\n  12 -> 18 [size =\"11474944\"]\n  12 -> 21 [size =\"11474944\"]\n  13 [size=\"21756587\", alpha=\"0.09\", expect_size=\"6526976\"] \n  13 -> 17 [size =\"6526976\"]\n  13 -> 21 [size =\"6526976\"]\n  13 -> 25 [size =\"6526976\"]\n  14 [size=\"81145173\", alpha=\"0.17\", expect_size=\"24343552\"] \n  14 -> 15 [size =\"24343552\"]\n  14 -> 16 [size =\"24343552\"]\n  14 -> 17 [size =\"24343552\"]\n  14 -> 18 [size =\"24343552\"]\n  14 -> 20 [size =\"24343552\"]\n  14 -> 21 [size =\"24343552\"]\n  14 -> 22 [size =\"24343552\"]\n  14 -> 25 [size =\"24343552\"]\n  15 [size=\"132287147\", alpha=\"0.05\", expect_size=\"39686144\"] \n  15 -> 30 [size =\"39686144\"]\n  15 -> 33 [size =\"39686144\"]\n  15 -> 35 [size =\"39686144\"]\n  15 -> 38 [size =\"39686144\"]\n  15 -> 38 [size =\"39686144\"]\n  15 -> 39 [size =\"39686144\"]\n  16 [size=\"112244053\", alpha=\"0.04\", expect_size=\"33673216\"] \n  16 -> 27 [size =\"33673216\"]\n  16 -> 29 [size =\"33673216\"]\n  16 -> 30 [size =\"33673216\"]\n  16 -> 31 [size =\"33673216\"]\n  16 -> 33 [size =\"33673216\"]\n  16 -> 39 [size =\"33673216\"]\n  16 -> 40 [size =\"33673216\"]\n  17 [size=\"70580907\", alpha=\"0.03\", expect_size=\"21174272\"] \n  17 -> 26 [size =\"21174272\"]\n  17 -> 27 [size =\"21174272\"]\n  17 -> 31 [size =\"21174272\"]\n  17 -> 35 [size =\"21174272\"]\n  17 -> 37 [size =\"21174272\"]\n  17 -> 39 [size =\"21174272\"]\n  18 [size=\"80810667\", alpha=\"0.09\", expect_size=\"24243200\"] \n  18 -> 26 [size =\"24243200\"]\n  18 -> 27 [size =\"24243200\"]\n  18 -> 28 [size =\"24243200\"]\n  18 -> 35 [size =\"24243200\"]\n  18 -> 36 [size =\"24243200\"]\n  18 -> 37 [size =\"24243200\"]\n  18 -> 39 [size =\"24243200\"]\n  18 -> 41 [size =\"24243200\"]\n  19 [size=\"90337280\", alpha=\"0.09\", expect_size=\"27101184\"] \n  19 -> 26 [size =\"27101184\"]\n  19 -> 27 [size =\"27101184\"]\n  19 -> 31 [size =\"27101184\"]\n  19 -> 36 [size =\"27101184\"]\n  19 -> 37 [size =\"27101184\"]\n  19 -> 39 [size =\"27101184\"]\n  20 [size=\"31887360\", alpha=\"0.14\", expect_size=\"9566208\"] \n  20 -> 26 [size =\"9566208\"]\n  20 -> 27 [size =\"9566208\"]\n  20 -> 32 [size =\"9566208\"]\n  20 -> 38 [size =\"9566208\"]\n  20 -> 39 [size =\"9566208\"]\n  20 -> 41 [size =\"9566208\"]\n  21 [size=\"79813973\", alpha=\"0.08\", expect_size=\"23944192\"] \n  21 -> 26 [size =\"23944192\"]\n  21 -> 28 [size =\"23944192\"]\n  21 -> 33 [size =\"23944192\"]\n  21 -> 38 [size =\"23944192\"]\n  21 -> 41 [size =\"23944192\"]\n  21 -> 41 [size =\"23944192\"]\n  22 [size=\"43728213\", alpha=\"0.19\", expect_size=\"13118464\"] \n  22 -> 30 [size =\"13118464\"]\n  22 -> 31 [size =\"13118464\"]\n  22 -> 34 [size =\"13118464\"]\n  22 -> 36 [size =\"13118464\"]\n  22 -> 37 [size =\"13118464\"]\n  22 -> 41 [size =\"13118464\"]\n  23 [size=\"135273813\", alpha=\"0.03\", expect_size=\"40582144\"] \n  23 -> 36 [size =\"40582144\"]\n  23 -> 37 [size =\"40582144\"]\n  23 -> 38 [size =\"40582144\"]\n  24 [size=\"52019200\", alpha=\"0.11\", expect_size=\"15605760\"] \n  24 -> 26 [size =\"15605760\"]\n  24 -> 28 [size =\"15605760\"]\n  24 -> 36 [size =\"15605760\"]\n  24 -> 41 [size =\"15605760\"]\n  25 [size=\"30945280\", alpha=\"0.04\", expect_size=\"9283584\"] \n  25 -> 26 [size =\"9283584\"]\n  25 -> 31 [size =\"9283584\"]\n  25 -> 35 [size =\"9283584\"]\n  25 -> 36 [size =\"9283584\"]\n  25 -> 38 [size =\"9283584\"]\n  25 -> 40 [size =\"9283584\"]\n  26 [size=\"71888213\", alpha=\"0.05\", expect_size=\"21566464\"] \n  26 -> 42 [size =\"21566464\"]\n  27 [size=\"104396800\", alpha=\"0.02\", expect_size=\"31319040\"] \n  27 -> 42 [size =\"31319040\"]\n  28 [size=\"127590400\", alpha=\"0.16\", expect_size=\"38277120\"] \n  28 -> 42 [size =\"38277120\"]\n  28 -> 45 [size =\"38277120\"]\n  29 [size=\"44011520\", alpha=\"0.10\", expect_size=\"13203456\"] \n  30 [size=\"113745920\", alpha=\"0.14\", expect_size=\"34123776\"] \n  30 -> 42 [size =\"34123776\"]\n  30 -> 44 [size =\"34123776\"]\n  31 [size=\"68194987\", alpha=\"0.12\", expect_size=\"20458496\"] \n  31 -> 42 [size =\"20458496\"]\n  32 [size=\"132628480\", alpha=\"0.12\", expect_size=\"39788544\"] \n  33 [size=\"127675733\", alpha=\"0.13\", expect_size=\"38302720\"] \n  34 [size=\"149364053\", alpha=\"0.02\", expect_size=\"44809216\"] \n  34 -> 42 [size =\"44809216\"]\n  34 -> 45 [size =\"44809216\"]\n  35 [size=\"81838080\", alpha=\"0.05\", expect_size=\"24551424\"] \n  35 -> 43 [size =\"24551424\"]\n  36 [size=\"116350293\", alpha=\"0.01\", expect_size=\"34905088\"] \n  36 -> 42 [size =\"34905088\"]\n  37 [size=\"152449707\", alpha=\"0.03\", expect_size=\"45734912\"] \n  37 -> 44 [size =\"45734912\"]\n  37 -> 45 [size =\"45734912\"]\n  38 [size=\"169485653\", alpha=\"0.13\", expect_size=\"50845696\"] \n  38 -> 42 [size =\"50845696\"]\n  38 -> 45 [size =\"50845696\"]\n  39 [size=\"136714240\", alpha=\"0.13\", expect_size=\"41014272\"] \n  40 [size=\"54790827\", alpha=\"0.14\", expect_size=\"16437248\"] \n  40 -> 43 [size =\"16437248\"]\n  40 -> 44 [size =\"16437248\"]\n  41 [size=\"166717440\", alpha=\"0.04\", expect_size=\"50015232\"] \n  41 -> 42 [size =\"50015232\"]\n  42 [size=\"102352213\", alpha=\"0.16\", expect_size=\"30705664\"] \n  43 [size=\"39761920\", alpha=\"0.04\", expect_size=\"11928576\"] \n  44 [size=\"140509867\", alpha=\"0.16\", expect_size=\"42152960\"] \n  45 [size=\"153698987\", alpha=\"0.10\", expect_size=\"46109696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32098987\", alpha=\"0.16\", expect_size=\"9629696\"] \n  1 -> 12 [size =\"9629696\"]\n  1 -> 13 [size =\"9629696\"]\n  1 -> 16 [size =\"9629696\"]\n  1 -> 18 [size =\"9629696\"]\n  1 -> 20 [size =\"9629696\"]\n  1 -> 22 [size =\"9629696\"]\n  1 -> 24 [size =\"9629696\"]\n  1 -> 25 [size =\"9629696\"]\n  2 [size=\"142353067\", alpha=\"0.08\", expect_size=\"42705920\"] \n  2 -> 14 [size =\"42705920\"]\n  2 -> 17 [size =\"42705920\"]\n  2 -> 21 [size =\"42705920\"]\n  2 -> 25 [size =\"42705920\"]\n  3 [size=\"27098453\", alpha=\"0.18\", expect_size=\"8129536\"] \n  3 -> 12 [size =\"8129536\"]\n  3 -> 13 [size =\"8129536\"]\n  3 -> 17 [size =\"8129536\"]\n  3 -> 18 [size =\"8129536\"]\n  3 -> 21 [size =\"8129536\"]\n  3 -> 22 [size =\"8129536\"]\n  4 [size=\"165526187\", alpha=\"0.11\", expect_size=\"49657856\"] \n  4 -> 12 [size =\"49657856\"]\n  4 -> 15 [size =\"49657856\"]\n  4 -> 20 [size =\"49657856\"]\n  4 -> 21 [size =\"49657856\"]\n  4 -> 22 [size =\"49657856\"]\n  5 [size=\"171700907\", alpha=\"0.05\", expect_size=\"51510272\"] \n  5 -> 12 [size =\"51510272\"]\n  5 -> 21 [size =\"51510272\"]\n  5 -> 25 [size =\"51510272\"]\n  6 [size=\"83493547\", alpha=\"0.19\", expect_size=\"25048064\"] \n  6 -> 15 [size =\"25048064\"]\n  6 -> 16 [size =\"25048064\"]\n  6 -> 22 [size =\"25048064\"]\n  6 -> 23 [size =\"25048064\"]\n  6 -> 25 [size =\"25048064\"]\n  7 [size=\"150323200\", alpha=\"0.07\", expect_size=\"45096960\"] \n  7 -> 15 [size =\"45096960\"]\n  7 -> 16 [size =\"45096960\"]\n  7 -> 21 [size =\"45096960\"]\n  7 -> 22 [size =\"45096960\"]\n  7 -> 23 [size =\"45096960\"]\n  7 -> 25 [size =\"45096960\"]\n  8 [size=\"134840320\", alpha=\"0.07\", expect_size=\"40452096\"] \n  8 -> 12 [size =\"40452096\"]\n  8 -> 14 [size =\"40452096\"]\n  8 -> 15 [size =\"40452096\"]\n  8 -> 16 [size =\"40452096\"]\n  8 -> 23 [size =\"40452096\"]\n  9 [size=\"169478827\", alpha=\"0.13\", expect_size=\"50843648\"] \n  9 -> 12 [size =\"50843648\"]\n  9 -> 13 [size =\"50843648\"]\n  9 -> 15 [size =\"50843648\"]\n  9 -> 17 [size =\"50843648\"]\n  9 -> 19 [size =\"50843648\"]\n  9 -> 20 [size =\"50843648\"]\n  9 -> 22 [size =\"50843648\"]\n  10 [size=\"44209493\", alpha=\"0.17\", expect_size=\"13262848\"] \n  10 -> 12 [size =\"13262848\"]\n  10 -> 13 [size =\"13262848\"]\n  10 -> 15 [size =\"13262848\"]\n  10 -> 17 [size =\"13262848\"]\n  10 -> 19 [size =\"13262848\"]\n  10 -> 20 [size =\"13262848\"]\n  11 [size=\"133802667\", alpha=\"0.04\", expect_size=\"40140800\"] \n  11 -> 12 [size =\"40140800\"]\n  11 -> 14 [size =\"40140800\"]\n  11 -> 17 [size =\"40140800\"]\n  11 -> 17 [size =\"40140800\"]\n  11 -> 21 [size =\"40140800\"]\n  12 [size=\"99833173\", alpha=\"0.08\", expect_size=\"29949952\"] \n  12 -> 27 [size =\"29949952\"]\n  12 -> 28 [size =\"29949952\"]\n  12 -> 29 [size =\"29949952\"]\n  12 -> 31 [size =\"29949952\"]\n  12 -> 33 [size =\"29949952\"]\n  12 -> 34 [size =\"29949952\"]\n  12 -> 36 [size =\"29949952\"]\n  13 [size=\"162747733\", alpha=\"0.08\", expect_size=\"48824320\"] \n  13 -> 26 [size =\"48824320\"]\n  13 -> 27 [size =\"48824320\"]\n  13 -> 28 [size =\"48824320\"]\n  13 -> 29 [size =\"48824320\"]\n  13 -> 31 [size =\"48824320\"]\n  13 -> 35 [size =\"48824320\"]\n  14 [size=\"145715200\", alpha=\"0.08\", expect_size=\"43714560\"] \n  14 -> 26 [size =\"43714560\"]\n  14 -> 32 [size =\"43714560\"]\n  14 -> 34 [size =\"43714560\"]\n  14 -> 35 [size =\"43714560\"]\n  15 [size=\"75953493\", alpha=\"0.11\", expect_size=\"22786048\"] \n  15 -> 35 [size =\"22786048\"]\n  15 -> 36 [size =\"22786048\"]\n  16 [size=\"118289067\", alpha=\"0.15\", expect_size=\"35486720\"] \n  16 -> 26 [size =\"35486720\"]\n  16 -> 31 [size =\"35486720\"]\n  16 -> 35 [size =\"35486720\"]\n  16 -> 36 [size =\"35486720\"]\n  17 [size=\"113148587\", alpha=\"0.03\", expect_size=\"33944576\"] \n  17 -> 29 [size =\"33944576\"]\n  17 -> 32 [size =\"33944576\"]\n  17 -> 35 [size =\"33944576\"]\n  18 [size=\"169024853\", alpha=\"0.07\", expect_size=\"50707456\"] \n  18 -> 27 [size =\"50707456\"]\n  18 -> 28 [size =\"50707456\"]\n  18 -> 29 [size =\"50707456\"]\n  18 -> 32 [size =\"50707456\"]\n  18 -> 33 [size =\"50707456\"]\n  18 -> 35 [size =\"50707456\"]\n  19 [size=\"68403200\", alpha=\"0.02\", expect_size=\"20520960\"] \n  19 -> 27 [size =\"20520960\"]\n  19 -> 28 [size =\"20520960\"]\n  19 -> 34 [size =\"20520960\"]\n  19 -> 35 [size =\"20520960\"]\n  20 [size=\"168826880\", alpha=\"0.07\", expect_size=\"50648064\"] \n  20 -> 29 [size =\"50648064\"]\n  20 -> 32 [size =\"50648064\"]\n  20 -> 35 [size =\"50648064\"]\n  20 -> 36 [size =\"50648064\"]\n  21 [size=\"146377387\", alpha=\"0.15\", expect_size=\"43913216\"] \n  21 -> 29 [size =\"43913216\"]\n  21 -> 31 [size =\"43913216\"]\n  21 -> 35 [size =\"43913216\"]\n  21 -> 36 [size =\"43913216\"]\n  22 [size=\"21483520\", alpha=\"0.18\", expect_size=\"6445056\"] \n  22 -> 29 [size =\"6445056\"]\n  22 -> 31 [size =\"6445056\"]\n  22 -> 32 [size =\"6445056\"]\n  22 -> 34 [size =\"6445056\"]\n  22 -> 36 [size =\"6445056\"]\n  23 [size=\"84797440\", alpha=\"0.03\", expect_size=\"25439232\"] \n  23 -> 26 [size =\"25439232\"]\n  23 -> 29 [size =\"25439232\"]\n  23 -> 30 [size =\"25439232\"]\n  23 -> 31 [size =\"25439232\"]\n  23 -> 33 [size =\"25439232\"]\n  23 -> 34 [size =\"25439232\"]\n  23 -> 36 [size =\"25439232\"]\n  24 [size=\"143868587\", alpha=\"0.06\", expect_size=\"43160576\"] \n  24 -> 26 [size =\"43160576\"]\n  24 -> 27 [size =\"43160576\"]\n  24 -> 28 [size =\"43160576\"]\n  24 -> 29 [size =\"43160576\"]\n  24 -> 31 [size =\"43160576\"]\n  24 -> 32 [size =\"43160576\"]\n  24 -> 34 [size =\"43160576\"]\n  24 -> 35 [size =\"43160576\"]\n  24 -> 36 [size =\"43160576\"]\n  25 [size=\"51169280\", alpha=\"0.09\", expect_size=\"15350784\"] \n  25 -> 27 [size =\"15350784\"]\n  25 -> 29 [size =\"15350784\"]\n  25 -> 31 [size =\"15350784\"]\n  25 -> 34 [size =\"15350784\"]\n  25 -> 36 [size =\"15350784\"]\n  26 [size=\"140738560\", alpha=\"0.00\", expect_size=\"42221568\"] \n  26 -> 37 [size =\"42221568\"]\n  26 -> 39 [size =\"42221568\"]\n  26 -> 41 [size =\"42221568\"]\n  26 -> 42 [size =\"42221568\"]\n  26 -> 43 [size =\"42221568\"]\n  27 [size=\"103925760\", alpha=\"0.09\", expect_size=\"31177728\"] \n  27 -> 39 [size =\"31177728\"]\n  27 -> 40 [size =\"31177728\"]\n  27 -> 42 [size =\"31177728\"]\n  27 -> 44 [size =\"31177728\"]\n  28 [size=\"123706027\", alpha=\"0.12\", expect_size=\"37111808\"] \n  28 -> 39 [size =\"37111808\"]\n  28 -> 42 [size =\"37111808\"]\n  29 [size=\"19968000\", alpha=\"0.14\", expect_size=\"5990400\"] \n  29 -> 38 [size =\"5990400\"]\n  29 -> 41 [size =\"5990400\"]\n  30 [size=\"32290133\", alpha=\"0.00\", expect_size=\"9687040\"] \n  30 -> 39 [size =\"9687040\"]\n  30 -> 40 [size =\"9687040\"]\n  30 -> 42 [size =\"9687040\"]\n  30 -> 44 [size =\"9687040\"]\n  30 -> 45 [size =\"9687040\"]\n  31 [size=\"88610133\", alpha=\"0.01\", expect_size=\"26583040\"] \n  31 -> 39 [size =\"26583040\"]\n  31 -> 41 [size =\"26583040\"]\n  31 -> 42 [size =\"26583040\"]\n  31 -> 43 [size =\"26583040\"]\n  31 -> 45 [size =\"26583040\"]\n  32 [size=\"46267733\", alpha=\"0.12\", expect_size=\"13880320\"] \n  32 -> 39 [size =\"13880320\"]\n  32 -> 40 [size =\"13880320\"]\n  32 -> 43 [size =\"13880320\"]\n  32 -> 44 [size =\"13880320\"]\n  33 [size=\"30146560\", alpha=\"0.02\", expect_size=\"9043968\"] \n  33 -> 38 [size =\"9043968\"]\n  33 -> 41 [size =\"9043968\"]\n  34 [size=\"49861973\", alpha=\"0.08\", expect_size=\"14958592\"] \n  34 -> 38 [size =\"14958592\"]\n  34 -> 42 [size =\"14958592\"]\n  34 -> 44 [size =\"14958592\"]\n  35 [size=\"96184320\", alpha=\"0.01\", expect_size=\"28855296\"] \n  35 -> 38 [size =\"28855296\"]\n  35 -> 39 [size =\"28855296\"]\n  35 -> 40 [size =\"28855296\"]\n  35 -> 42 [size =\"28855296\"]\n  35 -> 43 [size =\"28855296\"]\n  35 -> 44 [size =\"28855296\"]\n  36 [size=\"166055253\", alpha=\"0.07\", expect_size=\"49816576\"] \n  36 -> 38 [size =\"49816576\"]\n  36 -> 40 [size =\"49816576\"]\n  36 -> 41 [size =\"49816576\"]\n  36 -> 42 [size =\"49816576\"]\n  36 -> 44 [size =\"49816576\"]\n  36 -> 44 [size =\"49816576\"]\n  37 [size=\"168202240\", alpha=\"0.06\", expect_size=\"50460672\"] \n  38 [size=\"78189227\", alpha=\"0.04\", expect_size=\"23456768\"] \n  39 [size=\"170673493\", alpha=\"0.08\", expect_size=\"51202048\"] \n  40 [size=\"125798400\", alpha=\"0.11\", expect_size=\"37739520\"] \n  41 [size=\"127583573\", alpha=\"0.11\", expect_size=\"38275072\"] \n  42 [size=\"135072427\", alpha=\"0.11\", expect_size=\"40521728\"] \n  43 [size=\"73335467\", alpha=\"0.20\", expect_size=\"22000640\"] \n  44 [size=\"87644160\", alpha=\"0.05\", expect_size=\"26293248\"] \n  45 [size=\"148957867\", alpha=\"0.14\", expect_size=\"44687360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55288320\", alpha=\"0.13\", expect_size=\"22115328\"] \n  1 -> 5 [size =\"22115328\"]\n  1 -> 7 [size =\"22115328\"]\n  2 [size=\"102735360\", alpha=\"0.02\", expect_size=\"41094144\"] \n  2 -> 6 [size =\"41094144\"]\n  2 -> 8 [size =\"41094144\"]\n  3 [size=\"44915200\", alpha=\"0.07\", expect_size=\"17966080\"] \n  3 -> 8 [size =\"17966080\"]\n  3 -> 8 [size =\"17966080\"]\n  4 [size=\"39974400\", alpha=\"0.06\", expect_size=\"15989760\"] \n  4 -> 7 [size =\"15989760\"]\n  5 [size=\"34183680\", alpha=\"0.08\", expect_size=\"13673472\"] \n  5 -> 10 [size =\"13673472\"]\n  5 -> 11 [size =\"13673472\"]\n  6 [size=\"25374720\", alpha=\"0.05\", expect_size=\"10149888\"] \n  6 -> 10 [size =\"10149888\"]\n  7 [size=\"50833920\", alpha=\"0.01\", expect_size=\"20333568\"] \n  7 -> 9 [size =\"20333568\"]\n  8 [size=\"111380480\", alpha=\"0.07\", expect_size=\"44552192\"] \n  9 [size=\"61593600\", alpha=\"0.03\", expect_size=\"24637440\"] \n  9 -> 12 [size =\"24637440\"]\n  10 [size=\"85742080\", alpha=\"0.14\", expect_size=\"34296832\"] \n  10 -> 12 [size =\"34296832\"]\n  11 [size=\"25367040\", alpha=\"0.08\", expect_size=\"10146816\"] \n  11 -> 13 [size =\"10146816\"]\n  12 [size=\"104491520\", alpha=\"0.15\", expect_size=\"41796608\"] \n  12 -> 14 [size =\"41796608\"]\n  12 -> 15 [size =\"41796608\"]\n  13 [size=\"115589120\", alpha=\"0.18\", expect_size=\"46235648\"] \n  13 -> 14 [size =\"46235648\"]\n  13 -> 15 [size =\"46235648\"]\n  14 [size=\"37327360\", alpha=\"0.01\", expect_size=\"14930944\"] \n  14 -> 16 [size =\"14930944\"]\n  14 -> 18 [size =\"14930944\"]\n  15 [size=\"70113280\", alpha=\"0.19\", expect_size=\"28045312\"] \n  15 -> 17 [size =\"28045312\"]\n  16 [size=\"117616640\", alpha=\"0.14\", expect_size=\"47046656\"] \n  16 -> 19 [size =\"47046656\"]\n  16 -> 21 [size =\"47046656\"]\n  17 [size=\"27171840\", alpha=\"0.19\", expect_size=\"10868736\"] \n  17 -> 20 [size =\"10868736\"]\n  18 [size=\"30881280\", alpha=\"0.02\", expect_size=\"12352512\"] \n  18 -> 20 [size =\"12352512\"]\n  18 -> 21 [size =\"12352512\"]\n  19 [size=\"71982080\", alpha=\"0.16\", expect_size=\"28792832\"] \n  19 -> 24 [size =\"28792832\"]\n  19 -> 25 [size =\"28792832\"]\n  20 [size=\"90447360\", alpha=\"0.02\", expect_size=\"36178944\"] \n  20 -> 22 [size =\"36178944\"]\n  20 -> 23 [size =\"36178944\"]\n  20 -> 24 [size =\"36178944\"]\n  20 -> 25 [size =\"36178944\"]\n  21 [size=\"53680640\", alpha=\"0.14\", expect_size=\"21472256\"] \n  21 -> 24 [size =\"21472256\"]\n  22 [size=\"99904000\", alpha=\"0.02\", expect_size=\"39961600\"] \n  22 -> 26 [size =\"39961600\"]\n  23 [size=\"70681600\", alpha=\"0.16\", expect_size=\"28272640\"] \n  23 -> 26 [size =\"28272640\"]\n  23 -> 27 [size =\"28272640\"]\n  24 [size=\"56204800\", alpha=\"0.14\", expect_size=\"22481920\"] \n  24 -> 26 [size =\"22481920\"]\n  24 -> 27 [size =\"22481920\"]\n  25 [size=\"60782080\", alpha=\"0.15\", expect_size=\"24312832\"] \n  26 [size=\"53322240\", alpha=\"0.19\", expect_size=\"21328896\"] \n  26 -> 28 [size =\"21328896\"]\n  26 -> 30 [size =\"21328896\"]\n  27 [size=\"18967040\", alpha=\"0.08\", expect_size=\"7586816\"] \n  27 -> 28 [size =\"7586816\"]\n  27 -> 29 [size =\"7586816\"]\n  27 -> 30 [size =\"7586816\"]\n  28 [size=\"130908160\", alpha=\"0.15\", expect_size=\"52363264\"] \n  28 -> 31 [size =\"52363264\"]\n  28 -> 32 [size =\"52363264\"]\n  28 -> 33 [size =\"52363264\"]\n  29 [size=\"22561280\", alpha=\"0.10\", expect_size=\"9024512\"] \n  29 -> 31 [size =\"9024512\"]\n  30 [size=\"117422080\", alpha=\"0.17\", expect_size=\"46968832\"] \n  30 -> 32 [size =\"46968832\"]\n  31 [size=\"127247360\", alpha=\"0.06\", expect_size=\"50898944\"] \n  31 -> 34 [size =\"50898944\"]\n  31 -> 35 [size =\"50898944\"]\n  32 [size=\"94220800\", alpha=\"0.11\", expect_size=\"37688320\"] \n  32 -> 34 [size =\"37688320\"]\n  32 -> 35 [size =\"37688320\"]\n  32 -> 36 [size =\"37688320\"]\n  33 [size=\"107970560\", alpha=\"0.13\", expect_size=\"43188224\"] \n  34 [size=\"82339840\", alpha=\"0.19\", expect_size=\"32935936\"] \n  34 -> 37 [size =\"32935936\"]\n  35 [size=\"44200960\", alpha=\"0.15\", expect_size=\"17680384\"] \n  35 -> 38 [size =\"17680384\"]\n  36 [size=\"14627840\", alpha=\"0.09\", expect_size=\"5851136\"] \n  37 [size=\"123855360\", alpha=\"0.04\", expect_size=\"49542144\"] \n  37 -> 41 [size =\"49542144\"]\n  38 [size=\"55715840\", alpha=\"0.03\", expect_size=\"22286336\"] \n  38 -> 39 [size =\"22286336\"]\n  38 -> 40 [size =\"22286336\"]\n  38 -> 41 [size =\"22286336\"]\n  39 [size=\"26449920\", alpha=\"0.12\", expect_size=\"10579968\"] \n  40 [size=\"84541440\", alpha=\"0.14\", expect_size=\"33816576\"] \n  40 -> 44 [size =\"33816576\"]\n  41 [size=\"66698240\", alpha=\"0.03\", expect_size=\"26679296\"] \n  41 -> 42 [size =\"26679296\"]\n  41 -> 43 [size =\"26679296\"]\n  41 -> 44 [size =\"26679296\"]\n  42 [size=\"103150080\", alpha=\"0.07\", expect_size=\"41260032\"] \n  42 -> 45 [size =\"41260032\"]\n  43 [size=\"49349120\", alpha=\"0.00\", expect_size=\"19739648\"] \n  43 -> 45 [size =\"19739648\"]\n  44 [size=\"125742080\", alpha=\"0.01\", expect_size=\"50296832\"] \n  44 -> 45 [size =\"50296832\"]\n  45 [size=\"120627200\", alpha=\"0.10\", expect_size=\"48250880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85790720\", alpha=\"0.07\", expect_size=\"25737216\"] \n  1 -> 31 [size =\"25737216\"]\n  1 -> 42 [size =\"25737216\"]\n  1 -> 43 [size =\"25737216\"]\n  1 -> 45 [size =\"25737216\"]\n  2 [size=\"54893227\", alpha=\"0.10\", expect_size=\"16467968\"] \n  2 -> 32 [size =\"16467968\"]\n  2 -> 39 [size =\"16467968\"]\n  3 [size=\"84435627\", alpha=\"0.02\", expect_size=\"25330688\"] \n  3 -> 31 [size =\"25330688\"]\n  3 -> 33 [size =\"25330688\"]\n  3 -> 36 [size =\"25330688\"]\n  3 -> 37 [size =\"25330688\"]\n  3 -> 38 [size =\"25330688\"]\n  3 -> 39 [size =\"25330688\"]\n  3 -> 41 [size =\"25330688\"]\n  4 [size=\"37806080\", alpha=\"0.03\", expect_size=\"11341824\"] \n  4 -> 31 [size =\"11341824\"]\n  4 -> 33 [size =\"11341824\"]\n  4 -> 38 [size =\"11341824\"]\n  4 -> 41 [size =\"11341824\"]\n  4 -> 43 [size =\"11341824\"]\n  5 [size=\"19339947\", alpha=\"0.14\", expect_size=\"5801984\"] \n  5 -> 31 [size =\"5801984\"]\n  5 -> 35 [size =\"5801984\"]\n  5 -> 38 [size =\"5801984\"]\n  5 -> 43 [size =\"5801984\"]\n  5 -> 44 [size =\"5801984\"]\n  6 [size=\"53394773\", alpha=\"0.12\", expect_size=\"16018432\"] \n  6 -> 43 [size =\"16018432\"]\n  6 -> 44 [size =\"16018432\"]\n  7 [size=\"96245760\", alpha=\"0.03\", expect_size=\"28873728\"] \n  7 -> 31 [size =\"28873728\"]\n  7 -> 36 [size =\"28873728\"]\n  7 -> 43 [size =\"28873728\"]\n  7 -> 44 [size =\"28873728\"]\n  8 [size=\"74427733\", alpha=\"0.14\", expect_size=\"22328320\"] \n  8 -> 39 [size =\"22328320\"]\n  8 -> 44 [size =\"22328320\"]\n  8 -> 45 [size =\"22328320\"]\n  9 [size=\"29269333\", alpha=\"0.07\", expect_size=\"8780800\"] \n  9 -> 34 [size =\"8780800\"]\n  9 -> 35 [size =\"8780800\"]\n  9 -> 38 [size =\"8780800\"]\n  9 -> 39 [size =\"8780800\"]\n  9 -> 43 [size =\"8780800\"]\n  9 -> 44 [size =\"8780800\"]\n  10 [size=\"20384427\", alpha=\"0.20\", expect_size=\"6115328\"] \n  10 -> 32 [size =\"6115328\"]\n  10 -> 35 [size =\"6115328\"]\n  10 -> 36 [size =\"6115328\"]\n  10 -> 39 [size =\"6115328\"]\n  10 -> 43 [size =\"6115328\"]\n  10 -> 44 [size =\"6115328\"]\n  11 [size=\"51674453\", alpha=\"0.17\", expect_size=\"15502336\"] \n  11 -> 31 [size =\"15502336\"]\n  11 -> 35 [size =\"15502336\"]\n  11 -> 37 [size =\"15502336\"]\n  12 [size=\"104318293\", alpha=\"0.12\", expect_size=\"31295488\"] \n  12 -> 31 [size =\"31295488\"]\n  12 -> 35 [size =\"31295488\"]\n  12 -> 36 [size =\"31295488\"]\n  12 -> 39 [size =\"31295488\"]\n  12 -> 43 [size =\"31295488\"]\n  12 -> 45 [size =\"31295488\"]\n  13 [size=\"22633813\", alpha=\"0.07\", expect_size=\"6790144\"] \n  13 -> 31 [size =\"6790144\"]\n  13 -> 35 [size =\"6790144\"]\n  13 -> 36 [size =\"6790144\"]\n  13 -> 37 [size =\"6790144\"]\n  13 -> 43 [size =\"6790144\"]\n  14 [size=\"39444480\", alpha=\"0.07\", expect_size=\"11833344\"] \n  14 -> 35 [size =\"11833344\"]\n  14 -> 36 [size =\"11833344\"]\n  14 -> 36 [size =\"11833344\"]\n  15 [size=\"64235520\", alpha=\"0.05\", expect_size=\"19270656\"] \n  15 -> 36 [size =\"19270656\"]\n  15 -> 39 [size =\"19270656\"]\n  15 -> 45 [size =\"19270656\"]\n  16 [size=\"19869013\", alpha=\"0.06\", expect_size=\"5960704\"] \n  16 -> 31 [size =\"5960704\"]\n  16 -> 43 [size =\"5960704\"]\n  16 -> 44 [size =\"5960704\"]\n  16 -> 45 [size =\"5960704\"]\n  17 [size=\"111110827\", alpha=\"0.10\", expect_size=\"33333248\"] \n  17 -> 39 [size =\"33333248\"]\n  17 -> 45 [size =\"33333248\"]\n  18 [size=\"138052267\", alpha=\"0.06\", expect_size=\"41415680\"] \n  18 -> 32 [size =\"41415680\"]\n  18 -> 38 [size =\"41415680\"]\n  18 -> 43 [size =\"41415680\"]\n  18 -> 45 [size =\"41415680\"]\n  19 [size=\"87985493\", alpha=\"0.19\", expect_size=\"26395648\"] \n  19 -> 35 [size =\"26395648\"]\n  19 -> 36 [size =\"26395648\"]\n  20 [size=\"144319147\", alpha=\"0.02\", expect_size=\"43295744\"] \n  20 -> 33 [size =\"43295744\"]\n  20 -> 36 [size =\"43295744\"]\n  20 -> 39 [size =\"43295744\"]\n  20 -> 40 [size =\"43295744\"]\n  20 -> 42 [size =\"43295744\"]\n  20 -> 43 [size =\"43295744\"]\n  21 [size=\"144179200\", alpha=\"0.13\", expect_size=\"43253760\"] \n  21 -> 32 [size =\"43253760\"]\n  21 -> 33 [size =\"43253760\"]\n  21 -> 40 [size =\"43253760\"]\n  22 [size=\"121180160\", alpha=\"0.09\", expect_size=\"36354048\"] \n  22 -> 33 [size =\"36354048\"]\n  22 -> 45 [size =\"36354048\"]\n  23 [size=\"56292693\", alpha=\"0.13\", expect_size=\"16887808\"] \n  23 -> 32 [size =\"16887808\"]\n  23 -> 35 [size =\"16887808\"]\n  23 -> 40 [size =\"16887808\"]\n  23 -> 43 [size =\"16887808\"]\n  23 -> 44 [size =\"16887808\"]\n  24 [size=\"108629333\", alpha=\"0.00\", expect_size=\"32588800\"] \n  24 -> 43 [size =\"32588800\"]\n  24 -> 44 [size =\"32588800\"]\n  24 -> 45 [size =\"32588800\"]\n  25 [size=\"161740800\", alpha=\"0.08\", expect_size=\"48522240\"] \n  25 -> 32 [size =\"48522240\"]\n  25 -> 41 [size =\"48522240\"]\n  25 -> 43 [size =\"48522240\"]\n  25 -> 44 [size =\"48522240\"]\n  25 -> 45 [size =\"48522240\"]\n  26 [size=\"42557440\", alpha=\"0.20\", expect_size=\"12767232\"] \n  26 -> 31 [size =\"12767232\"]\n  26 -> 36 [size =\"12767232\"]\n  26 -> 38 [size =\"12767232\"]\n  26 -> 44 [size =\"12767232\"]\n  26 -> 45 [size =\"12767232\"]\n  27 [size=\"89111893\", alpha=\"0.01\", expect_size=\"26733568\"] \n  27 -> 35 [size =\"26733568\"]\n  27 -> 38 [size =\"26733568\"]\n  27 -> 44 [size =\"26733568\"]\n  27 -> 44 [size =\"26733568\"]\n  27 -> 45 [size =\"26733568\"]\n  28 [size=\"166881280\", alpha=\"0.11\", expect_size=\"50064384\"] \n  28 -> 35 [size =\"50064384\"]\n  28 -> 41 [size =\"50064384\"]\n  28 -> 44 [size =\"50064384\"]\n  28 -> 45 [size =\"50064384\"]\n  28 -> 45 [size =\"50064384\"]\n  29 [size=\"54463147\", alpha=\"0.01\", expect_size=\"16338944\"] \n  29 -> 33 [size =\"16338944\"]\n  29 -> 43 [size =\"16338944\"]\n  29 -> 44 [size =\"16338944\"]\n  29 -> 45 [size =\"16338944\"]\n  30 [size=\"46322347\", alpha=\"0.12\", expect_size=\"13896704\"] \n  30 -> 32 [size =\"13896704\"]\n  30 -> 36 [size =\"13896704\"]\n  30 -> 39 [size =\"13896704\"]\n  30 -> 43 [size =\"13896704\"]\n  30 -> 44 [size =\"13896704\"]\n  30 -> 45 [size =\"13896704\"]\n  31 [size=\"58234880\", alpha=\"0.08\", expect_size=\"17470464\"] \n  32 [size=\"158515200\", alpha=\"0.14\", expect_size=\"47554560\"] \n  33 [size=\"70007467\", alpha=\"0.01\", expect_size=\"21002240\"] \n  34 [size=\"174250667\", alpha=\"0.11\", expect_size=\"52275200\"] \n  35 [size=\"19708587\", alpha=\"0.07\", expect_size=\"5912576\"] \n  36 [size=\"80110933\", alpha=\"0.03\", expect_size=\"24033280\"] \n  37 [size=\"76803413\", alpha=\"0.11\", expect_size=\"23041024\"] \n  38 [size=\"88555520\", alpha=\"0.14\", expect_size=\"26566656\"] \n  39 [size=\"172318720\", alpha=\"0.07\", expect_size=\"51695616\"] \n  40 [size=\"25320107\", alpha=\"0.15\", expect_size=\"7596032\"] \n  41 [size=\"122327040\", alpha=\"0.20\", expect_size=\"36698112\"] \n  42 [size=\"25678507\", alpha=\"0.17\", expect_size=\"7703552\"] \n  43 [size=\"136789333\", alpha=\"0.00\", expect_size=\"41036800\"] \n  44 [size=\"146244267\", alpha=\"0.14\", expect_size=\"43873280\"] \n  45 [size=\"76018347\", alpha=\"0.07\", expect_size=\"22805504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81242112\", alpha=\"0.08\", expect_size=\"40621056\"] \n  2 [size=\"23400448\", alpha=\"0.11\", expect_size=\"11700224\"] \n  3 [size=\"19329024\", alpha=\"0.12\", expect_size=\"9664512\"] \n  3 -> 4 [size =\"9664512\"]\n  3 -> 5 [size =\"9664512\"]\n  3 -> 6 [size =\"9664512\"]\n  4 [size=\"103114752\", alpha=\"0.00\", expect_size=\"51557376\"] \n  4 -> 7 [size =\"51557376\"]\n  5 [size=\"69965824\", alpha=\"0.18\", expect_size=\"34982912\"] \n  6 [size=\"24807424\", alpha=\"0.07\", expect_size=\"12403712\"] \n  6 -> 7 [size =\"12403712\"]\n  6 -> 8 [size =\"12403712\"]\n  7 [size=\"90718208\", alpha=\"0.06\", expect_size=\"45359104\"] \n  7 -> 9 [size =\"45359104\"]\n  8 [size=\"96888832\", alpha=\"0.15\", expect_size=\"48444416\"] \n  8 -> 10 [size =\"48444416\"]\n  9 [size=\"60966912\", alpha=\"0.01\", expect_size=\"30483456\"] \n  9 -> 11 [size =\"30483456\"]\n  10 [size=\"37691392\", alpha=\"0.17\", expect_size=\"18845696\"] \n  10 -> 12 [size =\"18845696\"]\n  10 -> 13 [size =\"18845696\"]\n  11 [size=\"91648000\", alpha=\"0.06\", expect_size=\"45824000\"] \n  11 -> 16 [size =\"45824000\"]\n  12 [size=\"34318336\", alpha=\"0.11\", expect_size=\"17159168\"] \n  12 -> 15 [size =\"17159168\"]\n  13 [size=\"87492608\", alpha=\"0.16\", expect_size=\"43746304\"] \n  13 -> 14 [size =\"43746304\"]\n  14 [size=\"52029440\", alpha=\"0.17\", expect_size=\"26014720\"] \n  14 -> 17 [size =\"26014720\"]\n  15 [size=\"54298624\", alpha=\"0.04\", expect_size=\"27149312\"] \n  16 [size=\"42795008\", alpha=\"0.11\", expect_size=\"21397504\"] \n  16 -> 18 [size =\"21397504\"]\n  16 -> 19 [size =\"21397504\"]\n  17 [size=\"77592576\", alpha=\"0.13\", expect_size=\"38796288\"] \n  18 [size=\"13365248\", alpha=\"0.04\", expect_size=\"6682624\"] \n  18 -> 20 [size =\"6682624\"]\n  18 -> 21 [size =\"6682624\"]\n  19 [size=\"82096128\", alpha=\"0.05\", expect_size=\"41048064\"] \n  20 [size=\"84840448\", alpha=\"0.06\", expect_size=\"42420224\"] \n  20 -> 22 [size =\"42420224\"]\n  20 -> 23 [size =\"42420224\"]\n  20 -> 24 [size =\"42420224\"]\n  21 [size=\"70223872\", alpha=\"0.01\", expect_size=\"35111936\"] \n  22 [size=\"96301056\", alpha=\"0.19\", expect_size=\"48150528\"] \n  22 -> 26 [size =\"48150528\"]\n  23 [size=\"55990272\", alpha=\"0.20\", expect_size=\"27995136\"] \n  23 -> 25 [size =\"27995136\"]\n  24 [size=\"38144000\", alpha=\"0.19\", expect_size=\"19072000\"] \n  25 [size=\"24076288\", alpha=\"0.12\", expect_size=\"12038144\"] \n  25 -> 28 [size =\"12038144\"]\n  25 -> 29 [size =\"12038144\"]\n  26 [size=\"42403840\", alpha=\"0.07\", expect_size=\"21201920\"] \n  26 -> 27 [size =\"21201920\"]\n  27 [size=\"96600064\", alpha=\"0.20\", expect_size=\"48300032\"] \n  28 [size=\"61732864\", alpha=\"0.10\", expect_size=\"30866432\"] \n  28 -> 30 [size =\"30866432\"]\n  28 -> 31 [size =\"30866432\"]\n  29 [size=\"82440192\", alpha=\"0.12\", expect_size=\"41220096\"] \n  30 [size=\"12277760\", alpha=\"0.19\", expect_size=\"6138880\"] \n  30 -> 33 [size =\"6138880\"]\n  31 [size=\"38969344\", alpha=\"0.03\", expect_size=\"19484672\"] \n  31 -> 32 [size =\"19484672\"]\n  32 [size=\"44523520\", alpha=\"0.13\", expect_size=\"22261760\"] \n  32 -> 35 [size =\"22261760\"]\n  33 [size=\"41857024\", alpha=\"0.18\", expect_size=\"20928512\"] \n  33 -> 34 [size =\"20928512\"]\n  33 -> 36 [size =\"20928512\"]\n  34 [size=\"39817216\", alpha=\"0.13\", expect_size=\"19908608\"] \n  34 -> 37 [size =\"19908608\"]\n  35 [size=\"36659200\", alpha=\"0.17\", expect_size=\"18329600\"] \n  35 -> 38 [size =\"18329600\"]\n  36 [size=\"91863040\", alpha=\"0.08\", expect_size=\"45931520\"] \n  36 -> 39 [size =\"45931520\"]\n  37 [size=\"31010816\", alpha=\"0.12\", expect_size=\"15505408\"] \n  37 -> 41 [size =\"15505408\"]\n  38 [size=\"28706816\", alpha=\"0.18\", expect_size=\"14353408\"] \n  38 -> 40 [size =\"14353408\"]\n  38 -> 41 [size =\"14353408\"]\n  39 [size=\"76982272\", alpha=\"0.19\", expect_size=\"38491136\"] \n  39 -> 40 [size =\"38491136\"]\n  39 -> 42 [size =\"38491136\"]\n  40 [size=\"37572608\", alpha=\"0.15\", expect_size=\"18786304\"] \n  40 -> 43 [size =\"18786304\"]\n  40 -> 44 [size =\"18786304\"]\n  40 -> 45 [size =\"18786304\"]\n  41 [size=\"32061440\", alpha=\"0.04\", expect_size=\"16030720\"] \n  41 -> 43 [size =\"16030720\"]\n  41 -> 45 [size =\"16030720\"]\n  42 [size=\"47237120\", alpha=\"0.12\", expect_size=\"23618560\"] \n  43 [size=\"12560384\", alpha=\"0.08\", expect_size=\"6280192\"] \n  44 [size=\"99409920\", alpha=\"0.11\", expect_size=\"49704960\"] \n  45 [size=\"66215936\", alpha=\"0.17\", expect_size=\"33107968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117708800\", alpha=\"0.11\", expect_size=\"35312640\"] \n  1 -> 33 [size =\"35312640\"]\n  1 -> 35 [size =\"35312640\"]\n  1 -> 36 [size =\"35312640\"]\n  1 -> 38 [size =\"35312640\"]\n  1 -> 38 [size =\"35312640\"]\n  2 [size=\"35106133\", alpha=\"0.03\", expect_size=\"10531840\"] \n  2 -> 34 [size =\"10531840\"]\n  2 -> 35 [size =\"10531840\"]\n  2 -> 36 [size =\"10531840\"]\n  2 -> 37 [size =\"10531840\"]\n  2 -> 38 [size =\"10531840\"]\n  2 -> 40 [size =\"10531840\"]\n  2 -> 41 [size =\"10531840\"]\n  3 [size=\"117657600\", alpha=\"0.03\", expect_size=\"35297280\"] \n  3 -> 33 [size =\"35297280\"]\n  3 -> 34 [size =\"35297280\"]\n  3 -> 35 [size =\"35297280\"]\n  3 -> 36 [size =\"35297280\"]\n  3 -> 38 [size =\"35297280\"]\n  3 -> 40 [size =\"35297280\"]\n  4 [size=\"59016533\", alpha=\"0.17\", expect_size=\"17704960\"] \n  4 -> 34 [size =\"17704960\"]\n  4 -> 36 [size =\"17704960\"]\n  4 -> 37 [size =\"17704960\"]\n  4 -> 38 [size =\"17704960\"]\n  4 -> 40 [size =\"17704960\"]\n  4 -> 45 [size =\"17704960\"]\n  5 [size=\"168977067\", alpha=\"0.09\", expect_size=\"50693120\"] \n  5 -> 33 [size =\"50693120\"]\n  5 -> 35 [size =\"50693120\"]\n  5 -> 38 [size =\"50693120\"]\n  5 -> 40 [size =\"50693120\"]\n  5 -> 40 [size =\"50693120\"]\n  5 -> 41 [size =\"50693120\"]\n  6 [size=\"59579733\", alpha=\"0.14\", expect_size=\"17873920\"] \n  6 -> 33 [size =\"17873920\"]\n  6 -> 35 [size =\"17873920\"]\n  6 -> 36 [size =\"17873920\"]\n  6 -> 37 [size =\"17873920\"]\n  6 -> 38 [size =\"17873920\"]\n  6 -> 39 [size =\"17873920\"]\n  6 -> 40 [size =\"17873920\"]\n  6 -> 41 [size =\"17873920\"]\n  6 -> 45 [size =\"17873920\"]\n  7 [size=\"59839147\", alpha=\"0.19\", expect_size=\"17951744\"] \n  7 -> 36 [size =\"17951744\"]\n  7 -> 38 [size =\"17951744\"]\n  7 -> 40 [size =\"17951744\"]\n  7 -> 41 [size =\"17951744\"]\n  7 -> 45 [size =\"17951744\"]\n  8 [size=\"68102827\", alpha=\"0.01\", expect_size=\"20430848\"] \n  8 -> 33 [size =\"20430848\"]\n  8 -> 34 [size =\"20430848\"]\n  8 -> 36 [size =\"20430848\"]\n  8 -> 38 [size =\"20430848\"]\n  8 -> 40 [size =\"20430848\"]\n  8 -> 41 [size =\"20430848\"]\n  8 -> 45 [size =\"20430848\"]\n  9 [size=\"78021973\", alpha=\"0.14\", expect_size=\"23406592\"] \n  9 -> 33 [size =\"23406592\"]\n  9 -> 36 [size =\"23406592\"]\n  9 -> 36 [size =\"23406592\"]\n  9 -> 38 [size =\"23406592\"]\n  9 -> 41 [size =\"23406592\"]\n  10 [size=\"133792427\", alpha=\"0.05\", expect_size=\"40137728\"] \n  10 -> 33 [size =\"40137728\"]\n  10 -> 34 [size =\"40137728\"]\n  10 -> 38 [size =\"40137728\"]\n  10 -> 38 [size =\"40137728\"]\n  10 -> 40 [size =\"40137728\"]\n  10 -> 41 [size =\"40137728\"]\n  11 [size=\"30778027\", alpha=\"0.08\", expect_size=\"9233408\"] \n  11 -> 34 [size =\"9233408\"]\n  11 -> 34 [size =\"9233408\"]\n  11 -> 40 [size =\"9233408\"]\n  11 -> 45 [size =\"9233408\"]\n  12 [size=\"119415467\", alpha=\"0.11\", expect_size=\"35824640\"] \n  12 -> 34 [size =\"35824640\"]\n  12 -> 43 [size =\"35824640\"]\n  12 -> 44 [size =\"35824640\"]\n  13 [size=\"143346347\", alpha=\"0.13\", expect_size=\"43003904\"] \n  13 -> 33 [size =\"43003904\"]\n  13 -> 34 [size =\"43003904\"]\n  13 -> 35 [size =\"43003904\"]\n  13 -> 38 [size =\"43003904\"]\n  13 -> 40 [size =\"43003904\"]\n  13 -> 42 [size =\"43003904\"]\n  13 -> 43 [size =\"43003904\"]\n  14 [size=\"164505600\", alpha=\"0.05\", expect_size=\"49351680\"] \n  14 -> 33 [size =\"49351680\"]\n  14 -> 34 [size =\"49351680\"]\n  14 -> 40 [size =\"49351680\"]\n  14 -> 41 [size =\"49351680\"]\n  15 [size=\"141329067\", alpha=\"0.19\", expect_size=\"42398720\"] \n  15 -> 33 [size =\"42398720\"]\n  15 -> 34 [size =\"42398720\"]\n  15 -> 38 [size =\"42398720\"]\n  15 -> 40 [size =\"42398720\"]\n  15 -> 41 [size =\"42398720\"]\n  16 [size=\"51677867\", alpha=\"0.05\", expect_size=\"15503360\"] \n  16 -> 33 [size =\"15503360\"]\n  16 -> 35 [size =\"15503360\"]\n  16 -> 37 [size =\"15503360\"]\n  16 -> 38 [size =\"15503360\"]\n  16 -> 40 [size =\"15503360\"]\n  17 [size=\"163416747\", alpha=\"0.13\", expect_size=\"49025024\"] \n  17 -> 33 [size =\"49025024\"]\n  17 -> 34 [size =\"49025024\"]\n  17 -> 36 [size =\"49025024\"]\n  17 -> 37 [size =\"49025024\"]\n  17 -> 38 [size =\"49025024\"]\n  17 -> 40 [size =\"49025024\"]\n  17 -> 42 [size =\"49025024\"]\n  17 -> 45 [size =\"49025024\"]\n  18 [size=\"157487787\", alpha=\"0.17\", expect_size=\"47246336\"] \n  18 -> 33 [size =\"47246336\"]\n  18 -> 34 [size =\"47246336\"]\n  18 -> 36 [size =\"47246336\"]\n  18 -> 37 [size =\"47246336\"]\n  18 -> 38 [size =\"47246336\"]\n  18 -> 40 [size =\"47246336\"]\n  18 -> 41 [size =\"47246336\"]\n  18 -> 42 [size =\"47246336\"]\n  18 -> 45 [size =\"47246336\"]\n  19 [size=\"169239893\", alpha=\"0.05\", expect_size=\"50771968\"] \n  19 -> 33 [size =\"50771968\"]\n  19 -> 34 [size =\"50771968\"]\n  19 -> 36 [size =\"50771968\"]\n  19 -> 38 [size =\"50771968\"]\n  19 -> 40 [size =\"50771968\"]\n  19 -> 40 [size =\"50771968\"]\n  19 -> 45 [size =\"50771968\"]\n  20 [size=\"121937920\", alpha=\"0.06\", expect_size=\"36581376\"] \n  20 -> 33 [size =\"36581376\"]\n  20 -> 34 [size =\"36581376\"]\n  20 -> 35 [size =\"36581376\"]\n  20 -> 36 [size =\"36581376\"]\n  20 -> 37 [size =\"36581376\"]\n  20 -> 41 [size =\"36581376\"]\n  21 [size=\"164068693\", alpha=\"0.00\", expect_size=\"49220608\"] \n  21 -> 33 [size =\"49220608\"]\n  21 -> 34 [size =\"49220608\"]\n  21 -> 36 [size =\"49220608\"]\n  21 -> 36 [size =\"49220608\"]\n  21 -> 37 [size =\"49220608\"]\n  21 -> 38 [size =\"49220608\"]\n  21 -> 45 [size =\"49220608\"]\n  22 [size=\"69034667\", alpha=\"0.16\", expect_size=\"20710400\"] \n  22 -> 33 [size =\"20710400\"]\n  22 -> 34 [size =\"20710400\"]\n  22 -> 35 [size =\"20710400\"]\n  22 -> 36 [size =\"20710400\"]\n  22 -> 37 [size =\"20710400\"]\n  22 -> 38 [size =\"20710400\"]\n  23 [size=\"157880320\", alpha=\"0.05\", expect_size=\"47364096\"] \n  23 -> 33 [size =\"47364096\"]\n  23 -> 34 [size =\"47364096\"]\n  23 -> 35 [size =\"47364096\"]\n  23 -> 36 [size =\"47364096\"]\n  23 -> 37 [size =\"47364096\"]\n  23 -> 38 [size =\"47364096\"]\n  23 -> 41 [size =\"47364096\"]\n  23 -> 45 [size =\"47364096\"]\n  24 [size=\"101003947\", alpha=\"0.19\", expect_size=\"30301184\"] \n  24 -> 33 [size =\"30301184\"]\n  24 -> 34 [size =\"30301184\"]\n  24 -> 36 [size =\"30301184\"]\n  24 -> 36 [size =\"30301184\"]\n  24 -> 38 [size =\"30301184\"]\n  24 -> 38 [size =\"30301184\"]\n  24 -> 40 [size =\"30301184\"]\n  24 -> 41 [size =\"30301184\"]\n  24 -> 45 [size =\"30301184\"]\n  25 [size=\"138110293\", alpha=\"0.12\", expect_size=\"41433088\"] \n  25 -> 34 [size =\"41433088\"]\n  25 -> 34 [size =\"41433088\"]\n  25 -> 35 [size =\"41433088\"]\n  25 -> 36 [size =\"41433088\"]\n  25 -> 40 [size =\"41433088\"]\n  25 -> 41 [size =\"41433088\"]\n  25 -> 42 [size =\"41433088\"]\n  25 -> 45 [size =\"41433088\"]\n  26 [size=\"132416853\", alpha=\"0.11\", expect_size=\"39725056\"] \n  26 -> 33 [size =\"39725056\"]\n  26 -> 34 [size =\"39725056\"]\n  26 -> 36 [size =\"39725056\"]\n  26 -> 36 [size =\"39725056\"]\n  26 -> 40 [size =\"39725056\"]\n  26 -> 45 [size =\"39725056\"]\n  27 [size=\"17947307\", alpha=\"0.15\", expect_size=\"5384192\"] \n  27 -> 34 [size =\"5384192\"]\n  27 -> 34 [size =\"5384192\"]\n  27 -> 35 [size =\"5384192\"]\n  27 -> 36 [size =\"5384192\"]\n  27 -> 38 [size =\"5384192\"]\n  27 -> 40 [size =\"5384192\"]\n  27 -> 41 [size =\"5384192\"]\n  27 -> 42 [size =\"5384192\"]\n  28 [size=\"122668373\", alpha=\"0.06\", expect_size=\"36800512\"] \n  28 -> 33 [size =\"36800512\"]\n  28 -> 34 [size =\"36800512\"]\n  28 -> 36 [size =\"36800512\"]\n  28 -> 36 [size =\"36800512\"]\n  28 -> 38 [size =\"36800512\"]\n  28 -> 40 [size =\"36800512\"]\n  28 -> 44 [size =\"36800512\"]\n  29 [size=\"98894507\", alpha=\"0.04\", expect_size=\"29668352\"] \n  29 -> 33 [size =\"29668352\"]\n  29 -> 35 [size =\"29668352\"]\n  29 -> 36 [size =\"29668352\"]\n  29 -> 38 [size =\"29668352\"]\n  29 -> 40 [size =\"29668352\"]\n  29 -> 45 [size =\"29668352\"]\n  30 [size=\"140171947\", alpha=\"0.17\", expect_size=\"42051584\"] \n  30 -> 33 [size =\"42051584\"]\n  30 -> 35 [size =\"42051584\"]\n  30 -> 36 [size =\"42051584\"]\n  30 -> 38 [size =\"42051584\"]\n  30 -> 40 [size =\"42051584\"]\n  30 -> 41 [size =\"42051584\"]\n  30 -> 45 [size =\"42051584\"]\n  31 [size=\"32634880\", alpha=\"0.12\", expect_size=\"9790464\"] \n  31 -> 33 [size =\"9790464\"]\n  31 -> 34 [size =\"9790464\"]\n  31 -> 36 [size =\"9790464\"]\n  31 -> 37 [size =\"9790464\"]\n  31 -> 38 [size =\"9790464\"]\n  31 -> 40 [size =\"9790464\"]\n  31 -> 41 [size =\"9790464\"]\n  32 [size=\"33805653\", alpha=\"0.19\", expect_size=\"10141696\"] \n  32 -> 33 [size =\"10141696\"]\n  32 -> 34 [size =\"10141696\"]\n  32 -> 36 [size =\"10141696\"]\n  32 -> 37 [size =\"10141696\"]\n  32 -> 38 [size =\"10141696\"]\n  32 -> 40 [size =\"10141696\"]\n  32 -> 41 [size =\"10141696\"]\n  33 [size=\"161314133\", alpha=\"0.03\", expect_size=\"48394240\"] \n  34 [size=\"43482453\", alpha=\"0.05\", expect_size=\"13044736\"] \n  35 [size=\"36423680\", alpha=\"0.04\", expect_size=\"10927104\"] \n  36 [size=\"134359040\", alpha=\"0.06\", expect_size=\"40307712\"] \n  37 [size=\"64819200\", alpha=\"0.07\", expect_size=\"19445760\"] \n  38 [size=\"27456853\", alpha=\"0.06\", expect_size=\"8237056\"] \n  39 [size=\"72891733\", alpha=\"0.04\", expect_size=\"21867520\"] \n  40 [size=\"104393387\", alpha=\"0.15\", expect_size=\"31318016\"] \n  41 [size=\"80988160\", alpha=\"0.06\", expect_size=\"24296448\"] \n  42 [size=\"173264213\", alpha=\"0.02\", expect_size=\"51979264\"] \n  43 [size=\"168587947\", alpha=\"0.17\", expect_size=\"50576384\"] \n  44 [size=\"35549867\", alpha=\"0.02\", expect_size=\"10664960\"] \n  45 [size=\"78462293\", alpha=\"0.02\", expect_size=\"23538688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48862720\", alpha=\"0.01\", expect_size=\"19545088\"] \n  1 -> 3 [size =\"19545088\"]\n  1 -> 5 [size =\"19545088\"]\n  2 [size=\"121886720\", alpha=\"0.08\", expect_size=\"48754688\"] \n  2 -> 4 [size =\"48754688\"]\n  2 -> 5 [size =\"48754688\"]\n  3 [size=\"21793280\", alpha=\"0.01\", expect_size=\"8717312\"] \n  3 -> 6 [size =\"8717312\"]\n  3 -> 7 [size =\"8717312\"]\n  4 [size=\"109327360\", alpha=\"0.18\", expect_size=\"43730944\"] \n  4 -> 7 [size =\"43730944\"]\n  5 [size=\"116963840\", alpha=\"0.04\", expect_size=\"46785536\"] \n  5 -> 6 [size =\"46785536\"]\n  6 [size=\"78461440\", alpha=\"0.19\", expect_size=\"31384576\"] \n  6 -> 8 [size =\"31384576\"]\n  6 -> 9 [size =\"31384576\"]\n  6 -> 10 [size =\"31384576\"]\n  7 [size=\"129712640\", alpha=\"0.07\", expect_size=\"51885056\"] \n  7 -> 9 [size =\"51885056\"]\n  8 [size=\"99709440\", alpha=\"0.12\", expect_size=\"39883776\"] \n  8 -> 11 [size =\"39883776\"]\n  9 [size=\"59322880\", alpha=\"0.10\", expect_size=\"23729152\"] \n  9 -> 11 [size =\"23729152\"]\n  9 -> 12 [size =\"23729152\"]\n  10 [size=\"54748160\", alpha=\"0.13\", expect_size=\"21899264\"] \n  11 [size=\"31078400\", alpha=\"0.17\", expect_size=\"12431360\"] \n  11 -> 13 [size =\"12431360\"]\n  12 [size=\"35980800\", alpha=\"0.08\", expect_size=\"14392320\"] \n  13 [size=\"80450560\", alpha=\"0.11\", expect_size=\"32180224\"] \n  13 -> 14 [size =\"32180224\"]\n  13 -> 15 [size =\"32180224\"]\n  14 [size=\"85683200\", alpha=\"0.07\", expect_size=\"34273280\"] \n  14 -> 16 [size =\"34273280\"]\n  14 -> 17 [size =\"34273280\"]\n  14 -> 18 [size =\"34273280\"]\n  15 [size=\"73615360\", alpha=\"0.13\", expect_size=\"29446144\"] \n  15 -> 16 [size =\"29446144\"]\n  15 -> 17 [size =\"29446144\"]\n  16 [size=\"95534080\", alpha=\"0.04\", expect_size=\"38213632\"] \n  16 -> 20 [size =\"38213632\"]\n  16 -> 21 [size =\"38213632\"]\n  17 [size=\"90501120\", alpha=\"0.16\", expect_size=\"36200448\"] \n  17 -> 19 [size =\"36200448\"]\n  17 -> 20 [size =\"36200448\"]\n  17 -> 21 [size =\"36200448\"]\n  18 [size=\"14123520\", alpha=\"0.03\", expect_size=\"5649408\"] \n  18 -> 19 [size =\"5649408\"]\n  18 -> 20 [size =\"5649408\"]\n  18 -> 21 [size =\"5649408\"]\n  19 [size=\"84938240\", alpha=\"0.02\", expect_size=\"33975296\"] \n  19 -> 23 [size =\"33975296\"]\n  20 [size=\"26703360\", alpha=\"0.00\", expect_size=\"10681344\"] \n  20 -> 22 [size =\"10681344\"]\n  20 -> 23 [size =\"10681344\"]\n  21 [size=\"104624640\", alpha=\"0.05\", expect_size=\"41849856\"] \n  21 -> 22 [size =\"41849856\"]\n  21 -> 23 [size =\"41849856\"]\n  22 [size=\"88576000\", alpha=\"0.07\", expect_size=\"35430400\"] \n  22 -> 24 [size =\"35430400\"]\n  22 -> 25 [size =\"35430400\"]\n  22 -> 26 [size =\"35430400\"]\n  23 [size=\"14991360\", alpha=\"0.11\", expect_size=\"5996544\"] \n  23 -> 24 [size =\"5996544\"]\n  23 -> 25 [size =\"5996544\"]\n  23 -> 26 [size =\"5996544\"]\n  24 [size=\"77601280\", alpha=\"0.12\", expect_size=\"31040512\"] \n  24 -> 28 [size =\"31040512\"]\n  24 -> 29 [size =\"31040512\"]\n  25 [size=\"118873600\", alpha=\"0.10\", expect_size=\"47549440\"] \n  25 -> 28 [size =\"47549440\"]\n  25 -> 29 [size =\"47549440\"]\n  26 [size=\"77944320\", alpha=\"0.19\", expect_size=\"31177728\"] \n  26 -> 27 [size =\"31177728\"]\n  26 -> 28 [size =\"31177728\"]\n  26 -> 29 [size =\"31177728\"]\n  27 [size=\"101757440\", alpha=\"0.07\", expect_size=\"40702976\"] \n  27 -> 30 [size =\"40702976\"]\n  27 -> 31 [size =\"40702976\"]\n  27 -> 32 [size =\"40702976\"]\n  28 [size=\"79111680\", alpha=\"0.11\", expect_size=\"31644672\"] \n  28 -> 30 [size =\"31644672\"]\n  28 -> 32 [size =\"31644672\"]\n  29 [size=\"98739200\", alpha=\"0.02\", expect_size=\"39495680\"] \n  29 -> 30 [size =\"39495680\"]\n  29 -> 32 [size =\"39495680\"]\n  29 -> 33 [size =\"39495680\"]\n  30 [size=\"112616960\", alpha=\"0.01\", expect_size=\"45046784\"] \n  30 -> 34 [size =\"45046784\"]\n  30 -> 35 [size =\"45046784\"]\n  30 -> 36 [size =\"45046784\"]\n  30 -> 37 [size =\"45046784\"]\n  31 [size=\"115120640\", alpha=\"0.02\", expect_size=\"46048256\"] \n  31 -> 34 [size =\"46048256\"]\n  31 -> 35 [size =\"46048256\"]\n  31 -> 37 [size =\"46048256\"]\n  32 [size=\"24035840\", alpha=\"0.07\", expect_size=\"9614336\"] \n  32 -> 34 [size =\"9614336\"]\n  32 -> 35 [size =\"9614336\"]\n  32 -> 36 [size =\"9614336\"]\n  32 -> 37 [size =\"9614336\"]\n  33 [size=\"66114560\", alpha=\"0.04\", expect_size=\"26445824\"] \n  33 -> 34 [size =\"26445824\"]\n  33 -> 35 [size =\"26445824\"]\n  33 -> 36 [size =\"26445824\"]\n  33 -> 37 [size =\"26445824\"]\n  34 [size=\"14113280\", alpha=\"0.13\", expect_size=\"5645312\"] \n  34 -> 38 [size =\"5645312\"]\n  34 -> 39 [size =\"5645312\"]\n  35 [size=\"82219520\", alpha=\"0.13\", expect_size=\"32887808\"] \n  35 -> 38 [size =\"32887808\"]\n  35 -> 39 [size =\"32887808\"]\n  36 [size=\"20395520\", alpha=\"0.06\", expect_size=\"8158208\"] \n  36 -> 38 [size =\"8158208\"]\n  36 -> 39 [size =\"8158208\"]\n  36 -> 40 [size =\"8158208\"]\n  36 -> 41 [size =\"8158208\"]\n  37 [size=\"129925120\", alpha=\"0.12\", expect_size=\"51970048\"] \n  37 -> 38 [size =\"51970048\"]\n  37 -> 39 [size =\"51970048\"]\n  37 -> 40 [size =\"51970048\"]\n  38 [size=\"55562240\", alpha=\"0.19\", expect_size=\"22224896\"] \n  38 -> 42 [size =\"22224896\"]\n  39 [size=\"119833600\", alpha=\"0.18\", expect_size=\"47933440\"] \n  39 -> 42 [size =\"47933440\"]\n  40 [size=\"15065600\", alpha=\"0.19\", expect_size=\"6026240\"] \n  40 -> 42 [size =\"6026240\"]\n  41 [size=\"18826240\", alpha=\"0.15\", expect_size=\"7530496\"] \n  41 -> 42 [size =\"7530496\"]\n  42 [size=\"31127040\", alpha=\"0.05\", expect_size=\"12450816\"] \n  42 -> 43 [size =\"12450816\"]\n  42 -> 44 [size =\"12450816\"]\n  42 -> 45 [size =\"12450816\"]\n  43 [size=\"74839040\", alpha=\"0.14\", expect_size=\"29935616\"] \n  44 [size=\"99348480\", alpha=\"0.15\", expect_size=\"39739392\"] \n  45 [size=\"59264000\", alpha=\"0.13\", expect_size=\"23705600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91756544\", alpha=\"0.03\", expect_size=\"45878272\"] \n  1 -> 4 [size =\"45878272\"]\n  1 -> 5 [size =\"45878272\"]\n  1 -> 7 [size =\"45878272\"]\n  1 -> 8 [size =\"45878272\"]\n  2 [size=\"96778240\", alpha=\"0.01\", expect_size=\"48389120\"] \n  2 -> 6 [size =\"48389120\"]\n  2 -> 7 [size =\"48389120\"]\n  3 [size=\"51329024\", alpha=\"0.13\", expect_size=\"25664512\"] \n  3 -> 5 [size =\"25664512\"]\n  3 -> 6 [size =\"25664512\"]\n  4 [size=\"88664064\", alpha=\"0.17\", expect_size=\"44332032\"] \n  4 -> 9 [size =\"44332032\"]\n  4 -> 10 [size =\"44332032\"]\n  4 -> 13 [size =\"44332032\"]\n  5 [size=\"16433152\", alpha=\"0.16\", expect_size=\"8216576\"] \n  5 -> 11 [size =\"8216576\"]\n  5 -> 14 [size =\"8216576\"]\n  5 -> 16 [size =\"8216576\"]\n  6 [size=\"87050240\", alpha=\"0.20\", expect_size=\"43525120\"] \n  6 -> 9 [size =\"43525120\"]\n  6 -> 10 [size =\"43525120\"]\n  6 -> 12 [size =\"43525120\"]\n  6 -> 14 [size =\"43525120\"]\n  6 -> 16 [size =\"43525120\"]\n  7 [size=\"32165888\", alpha=\"0.02\", expect_size=\"16082944\"] \n  7 -> 9 [size =\"16082944\"]\n  7 -> 10 [size =\"16082944\"]\n  7 -> 11 [size =\"16082944\"]\n  7 -> 12 [size =\"16082944\"]\n  7 -> 14 [size =\"16082944\"]\n  7 -> 15 [size =\"16082944\"]\n  7 -> 16 [size =\"16082944\"]\n  8 [size=\"57812992\", alpha=\"0.02\", expect_size=\"28906496\"] \n  8 -> 9 [size =\"28906496\"]\n  8 -> 10 [size =\"28906496\"]\n  8 -> 11 [size =\"28906496\"]\n  8 -> 12 [size =\"28906496\"]\n  8 -> 13 [size =\"28906496\"]\n  8 -> 16 [size =\"28906496\"]\n  9 [size=\"104849408\", alpha=\"0.10\", expect_size=\"52424704\"] \n  9 -> 18 [size =\"52424704\"]\n  10 [size=\"86059008\", alpha=\"0.02\", expect_size=\"43029504\"] \n  10 -> 18 [size =\"43029504\"]\n  10 -> 20 [size =\"43029504\"]\n  11 [size=\"23179264\", alpha=\"0.10\", expect_size=\"11589632\"] \n  12 [size=\"39614464\", alpha=\"0.04\", expect_size=\"19807232\"] \n  12 -> 20 [size =\"19807232\"]\n  13 [size=\"45449216\", alpha=\"0.06\", expect_size=\"22724608\"] \n  13 -> 18 [size =\"22724608\"]\n  13 -> 21 [size =\"22724608\"]\n  14 [size=\"13273088\", alpha=\"0.08\", expect_size=\"6636544\"] \n  14 -> 18 [size =\"6636544\"]\n  14 -> 19 [size =\"6636544\"]\n  15 [size=\"94525440\", alpha=\"0.10\", expect_size=\"47262720\"] \n  15 -> 18 [size =\"47262720\"]\n  15 -> 19 [size =\"47262720\"]\n  15 -> 20 [size =\"47262720\"]\n  16 [size=\"73527296\", alpha=\"0.02\", expect_size=\"36763648\"] \n  16 -> 17 [size =\"36763648\"]\n  16 -> 18 [size =\"36763648\"]\n  16 -> 21 [size =\"36763648\"]\n  17 [size=\"73226240\", alpha=\"0.06\", expect_size=\"36613120\"] \n  17 -> 22 [size =\"36613120\"]\n  17 -> 25 [size =\"36613120\"]\n  17 -> 26 [size =\"36613120\"]\n  18 [size=\"80334848\", alpha=\"0.07\", expect_size=\"40167424\"] \n  18 -> 24 [size =\"40167424\"]\n  18 -> 26 [size =\"40167424\"]\n  18 -> 28 [size =\"40167424\"]\n  19 [size=\"87756800\", alpha=\"0.04\", expect_size=\"43878400\"] \n  19 -> 22 [size =\"43878400\"]\n  19 -> 23 [size =\"43878400\"]\n  19 -> 25 [size =\"43878400\"]\n  20 [size=\"39489536\", alpha=\"0.02\", expect_size=\"19744768\"] \n  20 -> 22 [size =\"19744768\"]\n  20 -> 27 [size =\"19744768\"]\n  20 -> 28 [size =\"19744768\"]\n  21 [size=\"49260544\", alpha=\"0.16\", expect_size=\"24630272\"] \n  21 -> 22 [size =\"24630272\"]\n  21 -> 25 [size =\"24630272\"]\n  22 [size=\"98148352\", alpha=\"0.09\", expect_size=\"49074176\"] \n  22 -> 30 [size =\"49074176\"]\n  22 -> 31 [size =\"49074176\"]\n  22 -> 32 [size =\"49074176\"]\n  22 -> 36 [size =\"49074176\"]\n  23 [size=\"24879104\", alpha=\"0.11\", expect_size=\"12439552\"] \n  23 -> 29 [size =\"12439552\"]\n  23 -> 30 [size =\"12439552\"]\n  23 -> 36 [size =\"12439552\"]\n  24 [size=\"52574208\", alpha=\"0.09\", expect_size=\"26287104\"] \n  24 -> 31 [size =\"26287104\"]\n  25 [size=\"88352768\", alpha=\"0.09\", expect_size=\"44176384\"] \n  25 -> 32 [size =\"44176384\"]\n  25 -> 35 [size =\"44176384\"]\n  26 [size=\"40695808\", alpha=\"0.04\", expect_size=\"20347904\"] \n  26 -> 31 [size =\"20347904\"]\n  26 -> 32 [size =\"20347904\"]\n  27 [size=\"50421760\", alpha=\"0.05\", expect_size=\"25210880\"] \n  27 -> 33 [size =\"25210880\"]\n  27 -> 34 [size =\"25210880\"]\n  28 [size=\"79355904\", alpha=\"0.15\", expect_size=\"39677952\"] \n  28 -> 30 [size =\"39677952\"]\n  28 -> 32 [size =\"39677952\"]\n  28 -> 35 [size =\"39677952\"]\n  29 [size=\"16506880\", alpha=\"0.05\", expect_size=\"8253440\"] \n  29 -> 37 [size =\"8253440\"]\n  29 -> 42 [size =\"8253440\"]\n  30 [size=\"36419584\", alpha=\"0.12\", expect_size=\"18209792\"] \n  30 -> 42 [size =\"18209792\"]\n  31 [size=\"44470272\", alpha=\"0.01\", expect_size=\"22235136\"] \n  31 -> 37 [size =\"22235136\"]\n  31 -> 38 [size =\"22235136\"]\n  31 -> 40 [size =\"22235136\"]\n  31 -> 41 [size =\"22235136\"]\n  32 [size=\"27559936\", alpha=\"0.16\", expect_size=\"13779968\"] \n  32 -> 41 [size =\"13779968\"]\n  32 -> 42 [size =\"13779968\"]\n  33 [size=\"71979008\", alpha=\"0.19\", expect_size=\"35989504\"] \n  33 -> 37 [size =\"35989504\"]\n  33 -> 39 [size =\"35989504\"]\n  33 -> 42 [size =\"35989504\"]\n  34 [size=\"29827072\", alpha=\"0.02\", expect_size=\"14913536\"] \n  34 -> 37 [size =\"14913536\"]\n  34 -> 39 [size =\"14913536\"]\n  34 -> 40 [size =\"14913536\"]\n  34 -> 42 [size =\"14913536\"]\n  35 [size=\"73658368\", alpha=\"0.03\", expect_size=\"36829184\"] \n  35 -> 37 [size =\"36829184\"]\n  35 -> 39 [size =\"36829184\"]\n  35 -> 40 [size =\"36829184\"]\n  36 [size=\"20674560\", alpha=\"0.17\", expect_size=\"10337280\"] \n  36 -> 37 [size =\"10337280\"]\n  36 -> 38 [size =\"10337280\"]\n  36 -> 39 [size =\"10337280\"]\n  37 [size=\"41816064\", alpha=\"0.05\", expect_size=\"20908032\"] \n  37 -> 45 [size =\"20908032\"]\n  38 [size=\"64389120\", alpha=\"0.07\", expect_size=\"32194560\"] \n  38 -> 43 [size =\"32194560\"]\n  39 [size=\"41351168\", alpha=\"0.06\", expect_size=\"20675584\"] \n  39 -> 44 [size =\"20675584\"]\n  39 -> 45 [size =\"20675584\"]\n  40 [size=\"67067904\", alpha=\"0.11\", expect_size=\"33533952\"] \n  40 -> 44 [size =\"33533952\"]\n  41 [size=\"28366848\", alpha=\"0.05\", expect_size=\"14183424\"] \n  42 [size=\"32313344\", alpha=\"0.16\", expect_size=\"16156672\"] \n  42 -> 44 [size =\"16156672\"]\n  43 [size=\"13668352\", alpha=\"0.11\", expect_size=\"6834176\"] \n  44 [size=\"101765120\", alpha=\"0.15\", expect_size=\"50882560\"] \n  45 [size=\"16279552\", alpha=\"0.15\", expect_size=\"8139776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66711040\", alpha=\"0.03\", expect_size=\"26684416\"] \n  1 -> 37 [size =\"26684416\"]\n  1 -> 42 [size =\"26684416\"]\n  1 -> 43 [size =\"26684416\"]\n  1 -> 44 [size =\"26684416\"]\n  1 -> 45 [size =\"26684416\"]\n  2 [size=\"123822080\", alpha=\"0.08\", expect_size=\"49528832\"] \n  2 -> 37 [size =\"49528832\"]\n  2 -> 45 [size =\"49528832\"]\n  3 [size=\"68746240\", alpha=\"0.04\", expect_size=\"27498496\"] \n  3 -> 37 [size =\"27498496\"]\n  3 -> 42 [size =\"27498496\"]\n  4 [size=\"41139200\", alpha=\"0.13\", expect_size=\"16455680\"] \n  4 -> 37 [size =\"16455680\"]\n  4 -> 40 [size =\"16455680\"]\n  4 -> 41 [size =\"16455680\"]\n  4 -> 44 [size =\"16455680\"]\n  5 [size=\"121090560\", alpha=\"0.10\", expect_size=\"48436224\"] \n  5 -> 37 [size =\"48436224\"]\n  5 -> 39 [size =\"48436224\"]\n  5 -> 41 [size =\"48436224\"]\n  5 -> 42 [size =\"48436224\"]\n  5 -> 44 [size =\"48436224\"]\n  6 [size=\"114117120\", alpha=\"0.04\", expect_size=\"45646848\"] \n  6 -> 37 [size =\"45646848\"]\n  6 -> 38 [size =\"45646848\"]\n  6 -> 42 [size =\"45646848\"]\n  6 -> 45 [size =\"45646848\"]\n  7 [size=\"37524480\", alpha=\"0.14\", expect_size=\"15009792\"] \n  7 -> 38 [size =\"15009792\"]\n  7 -> 40 [size =\"15009792\"]\n  7 -> 44 [size =\"15009792\"]\n  8 [size=\"78305280\", alpha=\"0.19\", expect_size=\"31322112\"] \n  8 -> 41 [size =\"31322112\"]\n  8 -> 42 [size =\"31322112\"]\n  9 [size=\"89579520\", alpha=\"0.15\", expect_size=\"35831808\"] \n  9 -> 37 [size =\"35831808\"]\n  9 -> 42 [size =\"35831808\"]\n  9 -> 44 [size =\"35831808\"]\n  10 [size=\"87193600\", alpha=\"0.10\", expect_size=\"34877440\"] \n  10 -> 37 [size =\"34877440\"]\n  10 -> 45 [size =\"34877440\"]\n  11 [size=\"125455360\", alpha=\"0.01\", expect_size=\"50182144\"] \n  11 -> 37 [size =\"50182144\"]\n  11 -> 42 [size =\"50182144\"]\n  11 -> 44 [size =\"50182144\"]\n  12 [size=\"27389440\", alpha=\"0.07\", expect_size=\"10955776\"] \n  12 -> 38 [size =\"10955776\"]\n  12 -> 40 [size =\"10955776\"]\n  12 -> 44 [size =\"10955776\"]\n  13 [size=\"77337600\", alpha=\"0.19\", expect_size=\"30935040\"] \n  13 -> 39 [size =\"30935040\"]\n  14 [size=\"100067840\", alpha=\"0.09\", expect_size=\"40027136\"] \n  14 -> 41 [size =\"40027136\"]\n  14 -> 42 [size =\"40027136\"]\n  14 -> 44 [size =\"40027136\"]\n  15 [size=\"60538880\", alpha=\"0.19\", expect_size=\"24215552\"] \n  15 -> 39 [size =\"24215552\"]\n  15 -> 41 [size =\"24215552\"]\n  15 -> 44 [size =\"24215552\"]\n  16 [size=\"122076160\", alpha=\"0.18\", expect_size=\"48830464\"] \n  16 -> 39 [size =\"48830464\"]\n  16 -> 40 [size =\"48830464\"]\n  16 -> 44 [size =\"48830464\"]\n  17 [size=\"25809920\", alpha=\"0.13\", expect_size=\"10323968\"] \n  17 -> 37 [size =\"10323968\"]\n  17 -> 40 [size =\"10323968\"]\n  17 -> 41 [size =\"10323968\"]\n  17 -> 44 [size =\"10323968\"]\n  18 [size=\"106291200\", alpha=\"0.14\", expect_size=\"42516480\"] \n  18 -> 37 [size =\"42516480\"]\n  18 -> 41 [size =\"42516480\"]\n  18 -> 45 [size =\"42516480\"]\n  19 [size=\"100907520\", alpha=\"0.06\", expect_size=\"40363008\"] \n  19 -> 37 [size =\"40363008\"]\n  19 -> 41 [size =\"40363008\"]\n  20 [size=\"72486400\", alpha=\"0.11\", expect_size=\"28994560\"] \n  20 -> 41 [size =\"28994560\"]\n  20 -> 41 [size =\"28994560\"]\n  20 -> 42 [size =\"28994560\"]\n  21 [size=\"128962560\", alpha=\"0.05\", expect_size=\"51585024\"] \n  21 -> 37 [size =\"51585024\"]\n  21 -> 43 [size =\"51585024\"]\n  21 -> 44 [size =\"51585024\"]\n  22 [size=\"14348800\", alpha=\"0.18\", expect_size=\"5739520\"] \n  22 -> 41 [size =\"5739520\"]\n  23 [size=\"57392640\", alpha=\"0.01\", expect_size=\"22957056\"] \n  23 -> 41 [size =\"22957056\"]\n  23 -> 42 [size =\"22957056\"]\n  23 -> 45 [size =\"22957056\"]\n  24 [size=\"51264000\", alpha=\"0.08\", expect_size=\"20505600\"] \n  24 -> 37 [size =\"20505600\"]\n  24 -> 41 [size =\"20505600\"]\n  24 -> 42 [size =\"20505600\"]\n  25 [size=\"104990720\", alpha=\"0.13\", expect_size=\"41996288\"] \n  25 -> 37 [size =\"41996288\"]\n  25 -> 40 [size =\"41996288\"]\n  25 -> 41 [size =\"41996288\"]\n  25 -> 42 [size =\"41996288\"]\n  25 -> 44 [size =\"41996288\"]\n  26 [size=\"98337280\", alpha=\"0.16\", expect_size=\"39334912\"] \n  26 -> 38 [size =\"39334912\"]\n  26 -> 41 [size =\"39334912\"]\n  26 -> 41 [size =\"39334912\"]\n  26 -> 42 [size =\"39334912\"]\n  26 -> 45 [size =\"39334912\"]\n  27 [size=\"88268800\", alpha=\"0.03\", expect_size=\"35307520\"] \n  27 -> 37 [size =\"35307520\"]\n  27 -> 41 [size =\"35307520\"]\n  27 -> 42 [size =\"35307520\"]\n  28 [size=\"45542400\", alpha=\"0.01\", expect_size=\"18216960\"] \n  28 -> 37 [size =\"18216960\"]\n  29 [size=\"128552960\", alpha=\"0.12\", expect_size=\"51421184\"] \n  29 -> 38 [size =\"51421184\"]\n  29 -> 41 [size =\"51421184\"]\n  30 [size=\"45580800\", alpha=\"0.15\", expect_size=\"18232320\"] \n  30 -> 42 [size =\"18232320\"]\n  30 -> 43 [size =\"18232320\"]\n  31 [size=\"110963200\", alpha=\"0.17\", expect_size=\"44385280\"] \n  31 -> 37 [size =\"44385280\"]\n  31 -> 41 [size =\"44385280\"]\n  31 -> 42 [size =\"44385280\"]\n  32 [size=\"24414720\", alpha=\"0.02\", expect_size=\"9765888\"] \n  32 -> 37 [size =\"9765888\"]\n  32 -> 41 [size =\"9765888\"]\n  32 -> 45 [size =\"9765888\"]\n  33 [size=\"14609920\", alpha=\"0.18\", expect_size=\"5843968\"] \n  33 -> 38 [size =\"5843968\"]\n  33 -> 41 [size =\"5843968\"]\n  33 -> 44 [size =\"5843968\"]\n  33 -> 45 [size =\"5843968\"]\n  34 [size=\"19230720\", alpha=\"0.08\", expect_size=\"7692288\"] \n  34 -> 37 [size =\"7692288\"]\n  34 -> 38 [size =\"7692288\"]\n  34 -> 42 [size =\"7692288\"]\n  34 -> 45 [size =\"7692288\"]\n  35 [size=\"66306560\", alpha=\"0.07\", expect_size=\"26522624\"] \n  35 -> 38 [size =\"26522624\"]\n  35 -> 44 [size =\"26522624\"]\n  36 [size=\"27896320\", alpha=\"0.04\", expect_size=\"11158528\"] \n  36 -> 40 [size =\"11158528\"]\n  36 -> 45 [size =\"11158528\"]\n  37 [size=\"122972160\", alpha=\"0.03\", expect_size=\"49188864\"] \n  38 [size=\"22062080\", alpha=\"0.18\", expect_size=\"8824832\"] \n  39 [size=\"26293760\", alpha=\"0.08\", expect_size=\"10517504\"] \n  40 [size=\"94174720\", alpha=\"0.07\", expect_size=\"37669888\"] \n  41 [size=\"63861760\", alpha=\"0.07\", expect_size=\"25544704\"] \n  42 [size=\"47708160\", alpha=\"0.07\", expect_size=\"19083264\"] \n  43 [size=\"59996160\", alpha=\"0.14\", expect_size=\"23998464\"] \n  44 [size=\"46988800\", alpha=\"0.08\", expect_size=\"18795520\"] \n  45 [size=\"95654400\", alpha=\"0.17\", expect_size=\"38261760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63328256\", alpha=\"0.08\", expect_size=\"31664128\"] \n  1 -> 2 [size =\"31664128\"]\n  2 [size=\"53950464\", alpha=\"0.19\", expect_size=\"26975232\"] \n  2 -> 3 [size =\"26975232\"]\n  3 [size=\"41705472\", alpha=\"0.11\", expect_size=\"20852736\"] \n  3 -> 4 [size =\"20852736\"]\n  4 [size=\"24399872\", alpha=\"0.09\", expect_size=\"12199936\"] \n  4 -> 5 [size =\"12199936\"]\n  5 [size=\"33200128\", alpha=\"0.19\", expect_size=\"16600064\"] \n  5 -> 6 [size =\"16600064\"]\n  6 [size=\"60149760\", alpha=\"0.07\", expect_size=\"30074880\"] \n  6 -> 7 [size =\"30074880\"]\n  7 [size=\"101793792\", alpha=\"0.09\", expect_size=\"50896896\"] \n  7 -> 8 [size =\"50896896\"]\n  8 [size=\"100302848\", alpha=\"0.13\", expect_size=\"50151424\"] \n  8 -> 9 [size =\"50151424\"]\n  9 [size=\"100775936\", alpha=\"0.12\", expect_size=\"50387968\"] \n  9 -> 10 [size =\"50387968\"]\n  10 [size=\"74868736\", alpha=\"0.17\", expect_size=\"37434368\"] \n  10 -> 11 [size =\"37434368\"]\n  11 [size=\"75292672\", alpha=\"0.11\", expect_size=\"37646336\"] \n  11 -> 12 [size =\"37646336\"]\n  12 [size=\"18866176\", alpha=\"0.12\", expect_size=\"9433088\"] \n  12 -> 13 [size =\"9433088\"]\n  13 [size=\"11802624\", alpha=\"0.00\", expect_size=\"5901312\"] \n  13 -> 14 [size =\"5901312\"]\n  14 [size=\"61976576\", alpha=\"0.19\", expect_size=\"30988288\"] \n  14 -> 15 [size =\"30988288\"]\n  15 [size=\"11694080\", alpha=\"0.09\", expect_size=\"5847040\"] \n  15 -> 16 [size =\"5847040\"]\n  16 [size=\"100282368\", alpha=\"0.09\", expect_size=\"50141184\"] \n  16 -> 17 [size =\"50141184\"]\n  17 [size=\"39168000\", alpha=\"0.11\", expect_size=\"19584000\"] \n  17 -> 18 [size =\"19584000\"]\n  18 [size=\"82862080\", alpha=\"0.13\", expect_size=\"41431040\"] \n  18 -> 19 [size =\"41431040\"]\n  19 [size=\"48943104\", alpha=\"0.06\", expect_size=\"24471552\"] \n  19 -> 20 [size =\"24471552\"]\n  20 [size=\"103774208\", alpha=\"0.12\", expect_size=\"51887104\"] \n  20 -> 21 [size =\"51887104\"]\n  21 [size=\"89036800\", alpha=\"0.10\", expect_size=\"44518400\"] \n  21 -> 22 [size =\"44518400\"]\n  22 [size=\"44603392\", alpha=\"0.16\", expect_size=\"22301696\"] \n  22 -> 23 [size =\"22301696\"]\n  23 [size=\"100294656\", alpha=\"0.09\", expect_size=\"50147328\"] \n  23 -> 24 [size =\"50147328\"]\n  24 [size=\"100732928\", alpha=\"0.06\", expect_size=\"50366464\"] \n  24 -> 25 [size =\"50366464\"]\n  25 [size=\"97947648\", alpha=\"0.06\", expect_size=\"48973824\"] \n  25 -> 26 [size =\"48973824\"]\n  26 [size=\"46209024\", alpha=\"0.18\", expect_size=\"23104512\"] \n  26 -> 27 [size =\"23104512\"]\n  27 [size=\"89632768\", alpha=\"0.09\", expect_size=\"44816384\"] \n  27 -> 28 [size =\"44816384\"]\n  28 [size=\"48349184\", alpha=\"0.19\", expect_size=\"24174592\"] \n  28 -> 29 [size =\"24174592\"]\n  29 [size=\"15075328\", alpha=\"0.08\", expect_size=\"7537664\"] \n  29 -> 30 [size =\"7537664\"]\n  30 [size=\"44068864\", alpha=\"0.10\", expect_size=\"22034432\"] \n  30 -> 31 [size =\"22034432\"]\n  31 [size=\"102094848\", alpha=\"0.07\", expect_size=\"51047424\"] \n  31 -> 32 [size =\"51047424\"]\n  32 [size=\"53258240\", alpha=\"0.05\", expect_size=\"26629120\"] \n  32 -> 33 [size =\"26629120\"]\n  33 [size=\"35391488\", alpha=\"0.03\", expect_size=\"17695744\"] \n  33 -> 34 [size =\"17695744\"]\n  34 [size=\"79716352\", alpha=\"0.13\", expect_size=\"39858176\"] \n  34 -> 35 [size =\"39858176\"]\n  35 [size=\"11405312\", alpha=\"0.02\", expect_size=\"5702656\"] \n  35 -> 36 [size =\"5702656\"]\n  36 [size=\"41918464\", alpha=\"0.11\", expect_size=\"20959232\"] \n  36 -> 37 [size =\"20959232\"]\n  37 [size=\"32176128\", alpha=\"0.05\", expect_size=\"16088064\"] \n  37 -> 38 [size =\"16088064\"]\n  38 [size=\"73486336\", alpha=\"0.15\", expect_size=\"36743168\"] \n  38 -> 39 [size =\"36743168\"]\n  39 [size=\"66926592\", alpha=\"0.14\", expect_size=\"33463296\"] \n  39 -> 40 [size =\"33463296\"]\n  40 [size=\"102785024\", alpha=\"0.12\", expect_size=\"51392512\"] \n  40 -> 41 [size =\"51392512\"]\n  41 [size=\"56702976\", alpha=\"0.06\", expect_size=\"28351488\"] \n  41 -> 42 [size =\"28351488\"]\n  42 [size=\"87861248\", alpha=\"0.08\", expect_size=\"43930624\"] \n  42 -> 43 [size =\"43930624\"]\n  43 [size=\"15896576\", alpha=\"0.09\", expect_size=\"7948288\"] \n  43 -> 44 [size =\"7948288\"]\n  44 [size=\"30869504\", alpha=\"0.09\", expect_size=\"15434752\"] \n  44 -> 45 [size =\"15434752\"]\n  45 [size=\"89899008\", alpha=\"0.07\", expect_size=\"44949504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82169856\", alpha=\"0.10\", expect_size=\"41084928\"] \n  2 [size=\"53846016\", alpha=\"0.11\", expect_size=\"26923008\"] \n  2 -> 5 [size =\"26923008\"]\n  3 [size=\"58423296\", alpha=\"0.00\", expect_size=\"29211648\"] \n  3 -> 4 [size =\"29211648\"]\n  3 -> 5 [size =\"29211648\"]\n  4 [size=\"95772672\", alpha=\"0.18\", expect_size=\"47886336\"] \n  4 -> 6 [size =\"47886336\"]\n  4 -> 7 [size =\"47886336\"]\n  4 -> 8 [size =\"47886336\"]\n  5 [size=\"34682880\", alpha=\"0.08\", expect_size=\"17341440\"] \n  5 -> 6 [size =\"17341440\"]\n  5 -> 7 [size =\"17341440\"]\n  5 -> 8 [size =\"17341440\"]\n  6 [size=\"98080768\", alpha=\"0.06\", expect_size=\"49040384\"] \n  6 -> 9 [size =\"49040384\"]\n  6 -> 10 [size =\"49040384\"]\n  7 [size=\"82012160\", alpha=\"0.08\", expect_size=\"41006080\"] \n  8 [size=\"53962752\", alpha=\"0.13\", expect_size=\"26981376\"] \n  8 -> 10 [size =\"26981376\"]\n  9 [size=\"44128256\", alpha=\"0.00\", expect_size=\"22064128\"] \n  9 -> 12 [size =\"22064128\"]\n  9 -> 13 [size =\"22064128\"]\n  9 -> 14 [size =\"22064128\"]\n  10 [size=\"81305600\", alpha=\"0.15\", expect_size=\"40652800\"] \n  10 -> 11 [size =\"40652800\"]\n  10 -> 12 [size =\"40652800\"]\n  10 -> 14 [size =\"40652800\"]\n  11 [size=\"27252736\", alpha=\"0.02\", expect_size=\"13626368\"] \n  11 -> 16 [size =\"13626368\"]\n  11 -> 17 [size =\"13626368\"]\n  12 [size=\"75597824\", alpha=\"0.12\", expect_size=\"37798912\"] \n  12 -> 15 [size =\"37798912\"]\n  12 -> 16 [size =\"37798912\"]\n  12 -> 17 [size =\"37798912\"]\n  13 [size=\"33619968\", alpha=\"0.20\", expect_size=\"16809984\"] \n  13 -> 15 [size =\"16809984\"]\n  14 [size=\"34355200\", alpha=\"0.03\", expect_size=\"17177600\"] \n  14 -> 15 [size =\"17177600\"]\n  14 -> 17 [size =\"17177600\"]\n  15 [size=\"25536512\", alpha=\"0.19\", expect_size=\"12768256\"] \n  15 -> 19 [size =\"12768256\"]\n  16 [size=\"61992960\", alpha=\"0.02\", expect_size=\"30996480\"] \n  16 -> 18 [size =\"30996480\"]\n  16 -> 20 [size =\"30996480\"]\n  17 [size=\"89796608\", alpha=\"0.00\", expect_size=\"44898304\"] \n  17 -> 18 [size =\"44898304\"]\n  17 -> 19 [size =\"44898304\"]\n  17 -> 20 [size =\"44898304\"]\n  18 [size=\"33384448\", alpha=\"0.17\", expect_size=\"16692224\"] \n  18 -> 21 [size =\"16692224\"]\n  19 [size=\"93554688\", alpha=\"0.17\", expect_size=\"46777344\"] \n  19 -> 21 [size =\"46777344\"]\n  20 [size=\"94998528\", alpha=\"0.03\", expect_size=\"47499264\"] \n  21 [size=\"73322496\", alpha=\"0.05\", expect_size=\"36661248\"] \n  21 -> 22 [size =\"36661248\"]\n  21 -> 23 [size =\"36661248\"]\n  21 -> 24 [size =\"36661248\"]\n  22 [size=\"83714048\", alpha=\"0.15\", expect_size=\"41857024\"] \n  22 -> 25 [size =\"41857024\"]\n  23 [size=\"47300608\", alpha=\"0.16\", expect_size=\"23650304\"] \n  23 -> 25 [size =\"23650304\"]\n  23 -> 27 [size =\"23650304\"]\n  23 -> 28 [size =\"23650304\"]\n  24 [size=\"47187968\", alpha=\"0.15\", expect_size=\"23593984\"] \n  24 -> 25 [size =\"23593984\"]\n  24 -> 26 [size =\"23593984\"]\n  25 [size=\"60805120\", alpha=\"0.19\", expect_size=\"30402560\"] \n  25 -> 29 [size =\"30402560\"]\n  26 [size=\"55803904\", alpha=\"0.02\", expect_size=\"27901952\"] \n  26 -> 29 [size =\"27901952\"]\n  27 [size=\"63813632\", alpha=\"0.20\", expect_size=\"31906816\"] \n  27 -> 29 [size =\"31906816\"]\n  28 [size=\"64735232\", alpha=\"0.07\", expect_size=\"32367616\"] \n  28 -> 30 [size =\"32367616\"]\n  29 [size=\"51949568\", alpha=\"0.01\", expect_size=\"25974784\"] \n  29 -> 32 [size =\"25974784\"]\n  29 -> 33 [size =\"25974784\"]\n  30 [size=\"37042176\", alpha=\"0.10\", expect_size=\"18521088\"] \n  30 -> 31 [size =\"18521088\"]\n  30 -> 33 [size =\"18521088\"]\n  30 -> 34 [size =\"18521088\"]\n  31 [size=\"52029440\", alpha=\"0.03\", expect_size=\"26014720\"] \n  32 [size=\"74225664\", alpha=\"0.09\", expect_size=\"37112832\"] \n  33 [size=\"52619264\", alpha=\"0.01\", expect_size=\"26309632\"] \n  34 [size=\"35147776\", alpha=\"0.17\", expect_size=\"17573888\"] \n  34 -> 35 [size =\"17573888\"]\n  35 [size=\"12730368\", alpha=\"0.17\", expect_size=\"6365184\"] \n  35 -> 36 [size =\"6365184\"]\n  35 -> 37 [size =\"6365184\"]\n  36 [size=\"103933952\", alpha=\"0.07\", expect_size=\"51966976\"] \n  36 -> 38 [size =\"51966976\"]\n  36 -> 39 [size =\"51966976\"]\n  37 [size=\"18870272\", alpha=\"0.15\", expect_size=\"9435136\"] \n  37 -> 39 [size =\"9435136\"]\n  38 [size=\"17809408\", alpha=\"0.07\", expect_size=\"8904704\"] \n  38 -> 40 [size =\"8904704\"]\n  39 [size=\"49858560\", alpha=\"0.17\", expect_size=\"24929280\"] \n  39 -> 40 [size =\"24929280\"]\n  39 -> 41 [size =\"24929280\"]\n  40 [size=\"54290432\", alpha=\"0.05\", expect_size=\"27145216\"] \n  40 -> 42 [size =\"27145216\"]\n  40 -> 44 [size =\"27145216\"]\n  41 [size=\"101922816\", alpha=\"0.06\", expect_size=\"50961408\"] \n  41 -> 42 [size =\"50961408\"]\n  41 -> 43 [size =\"50961408\"]\n  41 -> 44 [size =\"50961408\"]\n  42 [size=\"20781056\", alpha=\"0.02\", expect_size=\"10390528\"] \n  42 -> 45 [size =\"10390528\"]\n  43 [size=\"64718848\", alpha=\"0.07\", expect_size=\"32359424\"] \n  43 -> 45 [size =\"32359424\"]\n  44 [size=\"68130816\", alpha=\"0.19\", expect_size=\"34065408\"] \n  45 [size=\"54884352\", alpha=\"0.02\", expect_size=\"27442176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97202176\", alpha=\"0.03\", expect_size=\"48601088\"] \n  1 -> 7 [size =\"48601088\"]\n  1 -> 8 [size =\"48601088\"]\n  1 -> 10 [size =\"48601088\"]\n  2 [size=\"30134272\", alpha=\"0.07\", expect_size=\"15067136\"] \n  2 -> 6 [size =\"15067136\"]\n  2 -> 7 [size =\"15067136\"]\n  2 -> 8 [size =\"15067136\"]\n  2 -> 10 [size =\"15067136\"]\n  2 -> 11 [size =\"15067136\"]\n  3 [size=\"45740032\", alpha=\"0.02\", expect_size=\"22870016\"] \n  3 -> 7 [size =\"22870016\"]\n  3 -> 8 [size =\"22870016\"]\n  3 -> 10 [size =\"22870016\"]\n  4 [size=\"97021952\", alpha=\"0.14\", expect_size=\"48510976\"] \n  4 -> 6 [size =\"48510976\"]\n  4 -> 7 [size =\"48510976\"]\n  4 -> 9 [size =\"48510976\"]\n  5 [size=\"18438144\", alpha=\"0.15\", expect_size=\"9219072\"] \n  5 -> 8 [size =\"9219072\"]\n  6 [size=\"27006976\", alpha=\"0.15\", expect_size=\"13503488\"] \n  6 -> 16 [size =\"13503488\"]\n  6 -> 17 [size =\"13503488\"]\n  7 [size=\"32329728\", alpha=\"0.04\", expect_size=\"16164864\"] \n  7 -> 13 [size =\"16164864\"]\n  7 -> 14 [size =\"16164864\"]\n  7 -> 15 [size =\"16164864\"]\n  7 -> 16 [size =\"16164864\"]\n  8 [size=\"66332672\", alpha=\"0.09\", expect_size=\"33166336\"] \n  8 -> 15 [size =\"33166336\"]\n  8 -> 16 [size =\"33166336\"]\n  8 -> 18 [size =\"33166336\"]\n  9 [size=\"30173184\", alpha=\"0.14\", expect_size=\"15086592\"] \n  9 -> 12 [size =\"15086592\"]\n  9 -> 16 [size =\"15086592\"]\n  9 -> 17 [size =\"15086592\"]\n  10 [size=\"11153408\", alpha=\"0.08\", expect_size=\"5576704\"] \n  10 -> 13 [size =\"5576704\"]\n  10 -> 14 [size =\"5576704\"]\n  10 -> 15 [size =\"5576704\"]\n  10 -> 16 [size =\"5576704\"]\n  10 -> 17 [size =\"5576704\"]\n  11 [size=\"53395456\", alpha=\"0.19\", expect_size=\"26697728\"] \n  11 -> 14 [size =\"26697728\"]\n  11 -> 15 [size =\"26697728\"]\n  11 -> 18 [size =\"26697728\"]\n  12 [size=\"65398784\", alpha=\"0.13\", expect_size=\"32699392\"] \n  12 -> 19 [size =\"32699392\"]\n  12 -> 21 [size =\"32699392\"]\n  13 [size=\"99786752\", alpha=\"0.07\", expect_size=\"49893376\"] \n  14 [size=\"12613632\", alpha=\"0.12\", expect_size=\"6306816\"] \n  14 -> 23 [size =\"6306816\"]\n  15 [size=\"76947456\", alpha=\"0.09\", expect_size=\"38473728\"] \n  15 -> 21 [size =\"38473728\"]\n  15 -> 22 [size =\"38473728\"]\n  16 [size=\"55306240\", alpha=\"0.20\", expect_size=\"27653120\"] \n  16 -> 19 [size =\"27653120\"]\n  16 -> 20 [size =\"27653120\"]\n  17 [size=\"32538624\", alpha=\"0.18\", expect_size=\"16269312\"] \n  17 -> 19 [size =\"16269312\"]\n  17 -> 22 [size =\"16269312\"]\n  18 [size=\"49924096\", alpha=\"0.15\", expect_size=\"24962048\"] \n  18 -> 19 [size =\"24962048\"]\n  18 -> 22 [size =\"24962048\"]\n  19 [size=\"91510784\", alpha=\"0.08\", expect_size=\"45755392\"] \n  19 -> 25 [size =\"45755392\"]\n  19 -> 29 [size =\"45755392\"]\n  20 [size=\"61446144\", alpha=\"0.09\", expect_size=\"30723072\"] \n  20 -> 26 [size =\"30723072\"]\n  21 [size=\"97984512\", alpha=\"0.08\", expect_size=\"48992256\"] \n  21 -> 25 [size =\"48992256\"]\n  21 -> 27 [size =\"48992256\"]\n  21 -> 28 [size =\"48992256\"]\n  21 -> 29 [size =\"48992256\"]\n  21 -> 30 [size =\"48992256\"]\n  22 [size=\"93227008\", alpha=\"0.11\", expect_size=\"46613504\"] \n  22 -> 24 [size =\"46613504\"]\n  22 -> 26 [size =\"46613504\"]\n  22 -> 27 [size =\"46613504\"]\n  22 -> 29 [size =\"46613504\"]\n  22 -> 30 [size =\"46613504\"]\n  23 [size=\"58040320\", alpha=\"0.02\", expect_size=\"29020160\"] \n  23 -> 25 [size =\"29020160\"]\n  23 -> 26 [size =\"29020160\"]\n  23 -> 27 [size =\"29020160\"]\n  23 -> 29 [size =\"29020160\"]\n  24 [size=\"92790784\", alpha=\"0.11\", expect_size=\"46395392\"] \n  24 -> 32 [size =\"46395392\"]\n  24 -> 34 [size =\"46395392\"]\n  25 [size=\"57221120\", alpha=\"0.01\", expect_size=\"28610560\"] \n  25 -> 32 [size =\"28610560\"]\n  25 -> 33 [size =\"28610560\"]\n  26 [size=\"100773888\", alpha=\"0.16\", expect_size=\"50386944\"] \n  26 -> 31 [size =\"50386944\"]\n  26 -> 33 [size =\"50386944\"]\n  26 -> 35 [size =\"50386944\"]\n  27 [size=\"98813952\", alpha=\"0.15\", expect_size=\"49406976\"] \n  27 -> 31 [size =\"49406976\"]\n  27 -> 34 [size =\"49406976\"]\n  28 [size=\"91523072\", alpha=\"0.05\", expect_size=\"45761536\"] \n  28 -> 34 [size =\"45761536\"]\n  28 -> 35 [size =\"45761536\"]\n  29 [size=\"70105088\", alpha=\"0.00\", expect_size=\"35052544\"] \n  29 -> 33 [size =\"35052544\"]\n  29 -> 34 [size =\"35052544\"]\n  29 -> 35 [size =\"35052544\"]\n  30 [size=\"13721600\", alpha=\"0.15\", expect_size=\"6860800\"] \n  30 -> 33 [size =\"6860800\"]\n  31 [size=\"54913024\", alpha=\"0.19\", expect_size=\"27456512\"] \n  31 -> 37 [size =\"27456512\"]\n  31 -> 38 [size =\"27456512\"]\n  31 -> 39 [size =\"27456512\"]\n  31 -> 40 [size =\"27456512\"]\n  31 -> 41 [size =\"27456512\"]\n  32 [size=\"91654144\", alpha=\"0.15\", expect_size=\"45827072\"] \n  32 -> 36 [size =\"45827072\"]\n  33 [size=\"49223680\", alpha=\"0.10\", expect_size=\"24611840\"] \n  33 -> 36 [size =\"24611840\"]\n  33 -> 37 [size =\"24611840\"]\n  33 -> 38 [size =\"24611840\"]\n  33 -> 39 [size =\"24611840\"]\n  33 -> 41 [size =\"24611840\"]\n  34 [size=\"57247744\", alpha=\"0.05\", expect_size=\"28623872\"] \n  34 -> 41 [size =\"28623872\"]\n  35 [size=\"13518848\", alpha=\"0.14\", expect_size=\"6759424\"] \n  35 -> 36 [size =\"6759424\"]\n  35 -> 37 [size =\"6759424\"]\n  35 -> 38 [size =\"6759424\"]\n  36 [size=\"20359168\", alpha=\"0.13\", expect_size=\"10179584\"] \n  36 -> 42 [size =\"10179584\"]\n  36 -> 43 [size =\"10179584\"]\n  36 -> 44 [size =\"10179584\"]\n  36 -> 45 [size =\"10179584\"]\n  37 [size=\"94294016\", alpha=\"0.16\", expect_size=\"47147008\"] \n  37 -> 43 [size =\"47147008\"]\n  37 -> 44 [size =\"47147008\"]\n  38 [size=\"68421632\", alpha=\"0.08\", expect_size=\"34210816\"] \n  39 [size=\"92966912\", alpha=\"0.17\", expect_size=\"46483456\"] \n  39 -> 42 [size =\"46483456\"]\n  39 -> 43 [size =\"46483456\"]\n  39 -> 45 [size =\"46483456\"]\n  40 [size=\"93241344\", alpha=\"0.16\", expect_size=\"46620672\"] \n  40 -> 43 [size =\"46620672\"]\n  40 -> 44 [size =\"46620672\"]\n  40 -> 45 [size =\"46620672\"]\n  41 [size=\"69918720\", alpha=\"0.14\", expect_size=\"34959360\"] \n  41 -> 42 [size =\"34959360\"]\n  41 -> 43 [size =\"34959360\"]\n  41 -> 45 [size =\"34959360\"]\n  42 [size=\"65906688\", alpha=\"0.10\", expect_size=\"32953344\"] \n  43 [size=\"41750528\", alpha=\"0.16\", expect_size=\"20875264\"] \n  44 [size=\"86749184\", alpha=\"0.19\", expect_size=\"43374592\"] \n  45 [size=\"14286848\", alpha=\"0.13\", expect_size=\"7143424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104458240\", alpha=\"0.16\", expect_size=\"41783296\"] \n  1 -> 31 [size =\"41783296\"]\n  1 -> 33 [size =\"41783296\"]\n  1 -> 34 [size =\"41783296\"]\n  1 -> 34 [size =\"41783296\"]\n  1 -> 35 [size =\"41783296\"]\n  1 -> 37 [size =\"41783296\"]\n  1 -> 38 [size =\"41783296\"]\n  1 -> 43 [size =\"41783296\"]\n  1 -> 44 [size =\"41783296\"]\n  1 -> 45 [size =\"41783296\"]\n  2 [size=\"103744000\", alpha=\"0.14\", expect_size=\"41497600\"] \n  2 -> 29 [size =\"41497600\"]\n  2 -> 31 [size =\"41497600\"]\n  2 -> 33 [size =\"41497600\"]\n  2 -> 34 [size =\"41497600\"]\n  2 -> 36 [size =\"41497600\"]\n  2 -> 37 [size =\"41497600\"]\n  2 -> 38 [size =\"41497600\"]\n  2 -> 44 [size =\"41497600\"]\n  2 -> 45 [size =\"41497600\"]\n  3 [size=\"108702720\", alpha=\"0.15\", expect_size=\"43481088\"] \n  3 -> 29 [size =\"43481088\"]\n  3 -> 31 [size =\"43481088\"]\n  3 -> 33 [size =\"43481088\"]\n  3 -> 34 [size =\"43481088\"]\n  3 -> 36 [size =\"43481088\"]\n  3 -> 37 [size =\"43481088\"]\n  3 -> 38 [size =\"43481088\"]\n  3 -> 42 [size =\"43481088\"]\n  3 -> 43 [size =\"43481088\"]\n  3 -> 44 [size =\"43481088\"]\n  3 -> 45 [size =\"43481088\"]\n  4 [size=\"38566400\", alpha=\"0.10\", expect_size=\"15426560\"] \n  4 -> 31 [size =\"15426560\"]\n  4 -> 31 [size =\"15426560\"]\n  4 -> 32 [size =\"15426560\"]\n  4 -> 33 [size =\"15426560\"]\n  4 -> 34 [size =\"15426560\"]\n  4 -> 36 [size =\"15426560\"]\n  4 -> 37 [size =\"15426560\"]\n  4 -> 39 [size =\"15426560\"]\n  4 -> 45 [size =\"15426560\"]\n  5 [size=\"57113600\", alpha=\"0.02\", expect_size=\"22845440\"] \n  5 -> 31 [size =\"22845440\"]\n  5 -> 33 [size =\"22845440\"]\n  5 -> 36 [size =\"22845440\"]\n  5 -> 40 [size =\"22845440\"]\n  5 -> 44 [size =\"22845440\"]\n  6 [size=\"125324800\", alpha=\"0.03\", expect_size=\"50129920\"] \n  6 -> 31 [size =\"50129920\"]\n  6 -> 33 [size =\"50129920\"]\n  6 -> 35 [size =\"50129920\"]\n  6 -> 41 [size =\"50129920\"]\n  6 -> 44 [size =\"50129920\"]\n  7 [size=\"31055360\", alpha=\"0.18\", expect_size=\"12422144\"] \n  7 -> 31 [size =\"12422144\"]\n  7 -> 33 [size =\"12422144\"]\n  7 -> 34 [size =\"12422144\"]\n  7 -> 35 [size =\"12422144\"]\n  7 -> 36 [size =\"12422144\"]\n  7 -> 37 [size =\"12422144\"]\n  7 -> 42 [size =\"12422144\"]\n  7 -> 43 [size =\"12422144\"]\n  7 -> 44 [size =\"12422144\"]\n  7 -> 45 [size =\"12422144\"]\n  8 [size=\"106557440\", alpha=\"0.07\", expect_size=\"42622976\"] \n  8 -> 31 [size =\"42622976\"]\n  8 -> 32 [size =\"42622976\"]\n  8 -> 33 [size =\"42622976\"]\n  8 -> 35 [size =\"42622976\"]\n  8 -> 36 [size =\"42622976\"]\n  8 -> 37 [size =\"42622976\"]\n  8 -> 39 [size =\"42622976\"]\n  8 -> 40 [size =\"42622976\"]\n  8 -> 42 [size =\"42622976\"]\n  8 -> 43 [size =\"42622976\"]\n  8 -> 44 [size =\"42622976\"]\n  8 -> 45 [size =\"42622976\"]\n  9 [size=\"121832960\", alpha=\"0.07\", expect_size=\"48733184\"] \n  9 -> 31 [size =\"48733184\"]\n  9 -> 33 [size =\"48733184\"]\n  9 -> 35 [size =\"48733184\"]\n  9 -> 35 [size =\"48733184\"]\n  9 -> 37 [size =\"48733184\"]\n  9 -> 42 [size =\"48733184\"]\n  9 -> 43 [size =\"48733184\"]\n  9 -> 44 [size =\"48733184\"]\n  9 -> 45 [size =\"48733184\"]\n  10 [size=\"75417600\", alpha=\"0.14\", expect_size=\"30167040\"] \n  10 -> 33 [size =\"30167040\"]\n  10 -> 34 [size =\"30167040\"]\n  10 -> 35 [size =\"30167040\"]\n  10 -> 36 [size =\"30167040\"]\n  10 -> 40 [size =\"30167040\"]\n  10 -> 43 [size =\"30167040\"]\n  10 -> 44 [size =\"30167040\"]\n  10 -> 45 [size =\"30167040\"]\n  10 -> 45 [size =\"30167040\"]\n  11 [size=\"111449600\", alpha=\"0.13\", expect_size=\"44579840\"] \n  11 -> 33 [size =\"44579840\"]\n  11 -> 34 [size =\"44579840\"]\n  11 -> 36 [size =\"44579840\"]\n  11 -> 40 [size =\"44579840\"]\n  11 -> 42 [size =\"44579840\"]\n  11 -> 44 [size =\"44579840\"]\n  11 -> 45 [size =\"44579840\"]\n  11 -> 45 [size =\"44579840\"]\n  12 [size=\"85015040\", alpha=\"0.04\", expect_size=\"34006016\"] \n  12 -> 33 [size =\"34006016\"]\n  12 -> 34 [size =\"34006016\"]\n  12 -> 36 [size =\"34006016\"]\n  12 -> 40 [size =\"34006016\"]\n  12 -> 44 [size =\"34006016\"]\n  12 -> 45 [size =\"34006016\"]\n  13 [size=\"49285120\", alpha=\"0.15\", expect_size=\"19714048\"] \n  13 -> 29 [size =\"19714048\"]\n  13 -> 30 [size =\"19714048\"]\n  13 -> 31 [size =\"19714048\"]\n  13 -> 32 [size =\"19714048\"]\n  13 -> 34 [size =\"19714048\"]\n  13 -> 36 [size =\"19714048\"]\n  13 -> 37 [size =\"19714048\"]\n  13 -> 38 [size =\"19714048\"]\n  13 -> 41 [size =\"19714048\"]\n  13 -> 42 [size =\"19714048\"]\n  13 -> 44 [size =\"19714048\"]\n  14 [size=\"20221440\", alpha=\"0.14\", expect_size=\"8088576\"] \n  14 -> 31 [size =\"8088576\"]\n  14 -> 33 [size =\"8088576\"]\n  14 -> 34 [size =\"8088576\"]\n  14 -> 35 [size =\"8088576\"]\n  14 -> 36 [size =\"8088576\"]\n  14 -> 36 [size =\"8088576\"]\n  14 -> 42 [size =\"8088576\"]\n  14 -> 44 [size =\"8088576\"]\n  14 -> 45 [size =\"8088576\"]\n  15 [size=\"76889600\", alpha=\"0.19\", expect_size=\"30755840\"] \n  15 -> 29 [size =\"30755840\"]\n  15 -> 31 [size =\"30755840\"]\n  15 -> 33 [size =\"30755840\"]\n  15 -> 34 [size =\"30755840\"]\n  15 -> 35 [size =\"30755840\"]\n  15 -> 36 [size =\"30755840\"]\n  15 -> 42 [size =\"30755840\"]\n  15 -> 43 [size =\"30755840\"]\n  15 -> 44 [size =\"30755840\"]\n  15 -> 45 [size =\"30755840\"]\n  16 [size=\"90700800\", alpha=\"0.12\", expect_size=\"36280320\"] \n  16 -> 31 [size =\"36280320\"]\n  16 -> 33 [size =\"36280320\"]\n  16 -> 34 [size =\"36280320\"]\n  16 -> 34 [size =\"36280320\"]\n  16 -> 36 [size =\"36280320\"]\n  16 -> 36 [size =\"36280320\"]\n  16 -> 43 [size =\"36280320\"]\n  16 -> 43 [size =\"36280320\"]\n  16 -> 45 [size =\"36280320\"]\n  16 -> 45 [size =\"36280320\"]\n  17 [size=\"109803520\", alpha=\"0.03\", expect_size=\"43921408\"] \n  17 -> 31 [size =\"43921408\"]\n  17 -> 33 [size =\"43921408\"]\n  17 -> 34 [size =\"43921408\"]\n  17 -> 36 [size =\"43921408\"]\n  17 -> 37 [size =\"43921408\"]\n  17 -> 39 [size =\"43921408\"]\n  17 -> 40 [size =\"43921408\"]\n  17 -> 43 [size =\"43921408\"]\n  18 [size=\"98892800\", alpha=\"0.12\", expect_size=\"39557120\"] \n  18 -> 30 [size =\"39557120\"]\n  18 -> 34 [size =\"39557120\"]\n  18 -> 35 [size =\"39557120\"]\n  18 -> 43 [size =\"39557120\"]\n  19 [size=\"21071360\", alpha=\"0.18\", expect_size=\"8428544\"] \n  19 -> 35 [size =\"8428544\"]\n  19 -> 36 [size =\"8428544\"]\n  19 -> 37 [size =\"8428544\"]\n  19 -> 38 [size =\"8428544\"]\n  19 -> 40 [size =\"8428544\"]\n  19 -> 41 [size =\"8428544\"]\n  19 -> 42 [size =\"8428544\"]\n  19 -> 43 [size =\"8428544\"]\n  19 -> 44 [size =\"8428544\"]\n  20 [size=\"59584000\", alpha=\"0.07\", expect_size=\"23833600\"] \n  20 -> 31 [size =\"23833600\"]\n  20 -> 33 [size =\"23833600\"]\n  20 -> 34 [size =\"23833600\"]\n  20 -> 35 [size =\"23833600\"]\n  20 -> 36 [size =\"23833600\"]\n  20 -> 37 [size =\"23833600\"]\n  20 -> 42 [size =\"23833600\"]\n  20 -> 43 [size =\"23833600\"]\n  20 -> 44 [size =\"23833600\"]\n  21 [size=\"24058880\", alpha=\"0.12\", expect_size=\"9623552\"] \n  21 -> 31 [size =\"9623552\"]\n  21 -> 33 [size =\"9623552\"]\n  21 -> 34 [size =\"9623552\"]\n  21 -> 35 [size =\"9623552\"]\n  21 -> 36 [size =\"9623552\"]\n  21 -> 37 [size =\"9623552\"]\n  21 -> 40 [size =\"9623552\"]\n  21 -> 41 [size =\"9623552\"]\n  21 -> 42 [size =\"9623552\"]\n  21 -> 45 [size =\"9623552\"]\n  22 [size=\"103352320\", alpha=\"0.13\", expect_size=\"41340928\"] \n  22 -> 28 [size =\"41340928\"]\n  22 -> 30 [size =\"41340928\"]\n  22 -> 31 [size =\"41340928\"]\n  22 -> 33 [size =\"41340928\"]\n  22 -> 34 [size =\"41340928\"]\n  22 -> 35 [size =\"41340928\"]\n  22 -> 37 [size =\"41340928\"]\n  22 -> 38 [size =\"41340928\"]\n  22 -> 41 [size =\"41340928\"]\n  22 -> 43 [size =\"41340928\"]\n  22 -> 44 [size =\"41340928\"]\n  22 -> 45 [size =\"41340928\"]\n  23 [size=\"124413440\", alpha=\"0.09\", expect_size=\"49765376\"] \n  23 -> 31 [size =\"49765376\"]\n  23 -> 33 [size =\"49765376\"]\n  23 -> 34 [size =\"49765376\"]\n  23 -> 35 [size =\"49765376\"]\n  23 -> 37 [size =\"49765376\"]\n  23 -> 40 [size =\"49765376\"]\n  23 -> 43 [size =\"49765376\"]\n  24 [size=\"97799680\", alpha=\"0.10\", expect_size=\"39119872\"] \n  24 -> 31 [size =\"39119872\"]\n  24 -> 33 [size =\"39119872\"]\n  24 -> 34 [size =\"39119872\"]\n  24 -> 35 [size =\"39119872\"]\n  24 -> 36 [size =\"39119872\"]\n  24 -> 37 [size =\"39119872\"]\n  24 -> 43 [size =\"39119872\"]\n  25 [size=\"61870080\", alpha=\"0.18\", expect_size=\"24748032\"] \n  25 -> 30 [size =\"24748032\"]\n  25 -> 31 [size =\"24748032\"]\n  25 -> 32 [size =\"24748032\"]\n  25 -> 33 [size =\"24748032\"]\n  25 -> 34 [size =\"24748032\"]\n  25 -> 35 [size =\"24748032\"]\n  25 -> 36 [size =\"24748032\"]\n  25 -> 37 [size =\"24748032\"]\n  25 -> 45 [size =\"24748032\"]\n  26 [size=\"55805440\", alpha=\"0.06\", expect_size=\"22322176\"] \n  26 -> 31 [size =\"22322176\"]\n  26 -> 34 [size =\"22322176\"]\n  26 -> 35 [size =\"22322176\"]\n  26 -> 36 [size =\"22322176\"]\n  26 -> 45 [size =\"22322176\"]\n  27 [size=\"125178880\", alpha=\"0.16\", expect_size=\"50071552\"] \n  27 -> 30 [size =\"50071552\"]\n  27 -> 32 [size =\"50071552\"]\n  27 -> 33 [size =\"50071552\"]\n  27 -> 34 [size =\"50071552\"]\n  27 -> 35 [size =\"50071552\"]\n  28 [size=\"24675840\", alpha=\"0.02\", expect_size=\"9870336\"] \n  29 [size=\"96107520\", alpha=\"0.07\", expect_size=\"38443008\"] \n  30 [size=\"82972160\", alpha=\"0.02\", expect_size=\"33188864\"] \n  31 [size=\"125813760\", alpha=\"0.14\", expect_size=\"50325504\"] \n  32 [size=\"80058880\", alpha=\"0.18\", expect_size=\"32023552\"] \n  33 [size=\"36341760\", alpha=\"0.09\", expect_size=\"14536704\"] \n  34 [size=\"90260480\", alpha=\"0.20\", expect_size=\"36104192\"] \n  35 [size=\"31349760\", alpha=\"0.02\", expect_size=\"12539904\"] \n  36 [size=\"21580800\", alpha=\"0.18\", expect_size=\"8632320\"] \n  37 [size=\"55203840\", alpha=\"0.09\", expect_size=\"22081536\"] \n  38 [size=\"32204800\", alpha=\"0.16\", expect_size=\"12881920\"] \n  39 [size=\"46033920\", alpha=\"0.04\", expect_size=\"18413568\"] \n  40 [size=\"87452160\", alpha=\"0.19\", expect_size=\"34980864\"] \n  41 [size=\"100810240\", alpha=\"0.17\", expect_size=\"40324096\"] \n  42 [size=\"66485760\", alpha=\"0.09\", expect_size=\"26594304\"] \n  43 [size=\"56391680\", alpha=\"0.01\", expect_size=\"22556672\"] \n  44 [size=\"106703360\", alpha=\"0.07\", expect_size=\"42681344\"] \n  45 [size=\"106575360\", alpha=\"0.01\", expect_size=\"42630144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113704960\", alpha=\"0.01\", expect_size=\"34111488\"] \n  1 -> 2 [size =\"34111488\"]\n  2 [size=\"31723520\", alpha=\"0.11\", expect_size=\"9517056\"] \n  2 -> 3 [size =\"9517056\"]\n  3 [size=\"78199467\", alpha=\"0.07\", expect_size=\"23459840\"] \n  3 -> 4 [size =\"23459840\"]\n  4 [size=\"161979733\", alpha=\"0.03\", expect_size=\"48593920\"] \n  4 -> 5 [size =\"48593920\"]\n  5 [size=\"58006187\", alpha=\"0.03\", expect_size=\"17401856\"] \n  5 -> 6 [size =\"17401856\"]\n  6 [size=\"82080427\", alpha=\"0.05\", expect_size=\"24624128\"] \n  6 -> 7 [size =\"24624128\"]\n  7 [size=\"48100693\", alpha=\"0.19\", expect_size=\"14430208\"] \n  7 -> 8 [size =\"14430208\"]\n  8 [size=\"115285333\", alpha=\"0.08\", expect_size=\"34585600\"] \n  8 -> 9 [size =\"34585600\"]\n  9 [size=\"148852053\", alpha=\"0.12\", expect_size=\"44655616\"] \n  9 -> 10 [size =\"44655616\"]\n  10 [size=\"67846827\", alpha=\"0.11\", expect_size=\"20354048\"] \n  10 -> 11 [size =\"20354048\"]\n  11 [size=\"157153280\", alpha=\"0.03\", expect_size=\"47145984\"] \n  11 -> 12 [size =\"47145984\"]\n  12 [size=\"164529493\", alpha=\"0.15\", expect_size=\"49358848\"] \n  12 -> 13 [size =\"49358848\"]\n  13 [size=\"90804907\", alpha=\"0.01\", expect_size=\"27241472\"] \n  13 -> 14 [size =\"27241472\"]\n  14 [size=\"144776533\", alpha=\"0.16\", expect_size=\"43432960\"] \n  14 -> 15 [size =\"43432960\"]\n  15 [size=\"166912000\", alpha=\"0.14\", expect_size=\"50073600\"] \n  15 -> 16 [size =\"50073600\"]\n  16 [size=\"33368747\", alpha=\"0.05\", expect_size=\"10010624\"] \n  16 -> 17 [size =\"10010624\"]\n  17 [size=\"72734720\", alpha=\"0.19\", expect_size=\"21820416\"] \n  17 -> 18 [size =\"21820416\"]\n  18 [size=\"66938880\", alpha=\"0.09\", expect_size=\"20081664\"] \n  18 -> 19 [size =\"20081664\"]\n  19 [size=\"130553173\", alpha=\"0.03\", expect_size=\"39165952\"] \n  19 -> 20 [size =\"39165952\"]\n  20 [size=\"69376000\", alpha=\"0.12\", expect_size=\"20812800\"] \n  20 -> 21 [size =\"20812800\"]\n  21 [size=\"154531840\", alpha=\"0.13\", expect_size=\"46359552\"] \n  21 -> 22 [size =\"46359552\"]\n  22 [size=\"19957760\", alpha=\"0.16\", expect_size=\"5987328\"] \n  22 -> 23 [size =\"5987328\"]\n  23 [size=\"141643093\", alpha=\"0.07\", expect_size=\"42492928\"] \n  23 -> 24 [size =\"42492928\"]\n  24 [size=\"152927573\", alpha=\"0.16\", expect_size=\"45878272\"] \n  24 -> 25 [size =\"45878272\"]\n  25 [size=\"119429120\", alpha=\"0.11\", expect_size=\"35828736\"] \n  25 -> 26 [size =\"35828736\"]\n  26 [size=\"68621653\", alpha=\"0.13\", expect_size=\"20586496\"] \n  26 -> 27 [size =\"20586496\"]\n  27 [size=\"111718400\", alpha=\"0.20\", expect_size=\"33515520\"] \n  27 -> 28 [size =\"33515520\"]\n  28 [size=\"105052160\", alpha=\"0.19\", expect_size=\"31515648\"] \n  28 -> 29 [size =\"31515648\"]\n  29 [size=\"173875200\", alpha=\"0.14\", expect_size=\"52162560\"] \n  29 -> 30 [size =\"52162560\"]\n  30 [size=\"37795840\", alpha=\"0.16\", expect_size=\"11338752\"] \n  30 -> 31 [size =\"11338752\"]\n  31 [size=\"130348373\", alpha=\"0.16\", expect_size=\"39104512\"] \n  31 -> 32 [size =\"39104512\"]\n  32 [size=\"75902293\", alpha=\"0.15\", expect_size=\"22770688\"] \n  32 -> 33 [size =\"22770688\"]\n  33 [size=\"45998080\", alpha=\"0.02\", expect_size=\"13799424\"] \n  33 -> 34 [size =\"13799424\"]\n  34 [size=\"101358933\", alpha=\"0.06\", expect_size=\"30407680\"] \n  34 -> 35 [size =\"30407680\"]\n  35 [size=\"71915520\", alpha=\"0.09\", expect_size=\"21574656\"] \n  35 -> 36 [size =\"21574656\"]\n  36 [size=\"155487573\", alpha=\"0.14\", expect_size=\"46646272\"] \n  36 -> 37 [size =\"46646272\"]\n  37 [size=\"102106453\", alpha=\"0.06\", expect_size=\"30631936\"] \n  37 -> 38 [size =\"30631936\"]\n  38 [size=\"99686400\", alpha=\"0.05\", expect_size=\"29905920\"] \n  38 -> 39 [size =\"29905920\"]\n  39 [size=\"88746667\", alpha=\"0.17\", expect_size=\"26624000\"] \n  39 -> 40 [size =\"26624000\"]\n  40 [size=\"43386880\", alpha=\"0.17\", expect_size=\"13016064\"] \n  40 -> 41 [size =\"13016064\"]\n  41 [size=\"171260587\", alpha=\"0.14\", expect_size=\"51378176\"] \n  41 -> 42 [size =\"51378176\"]\n  42 [size=\"140189013\", alpha=\"0.11\", expect_size=\"42056704\"] \n  42 -> 43 [size =\"42056704\"]\n  43 [size=\"97225387\", alpha=\"0.03\", expect_size=\"29167616\"] \n  43 -> 44 [size =\"29167616\"]\n  44 [size=\"115701760\", alpha=\"0.14\", expect_size=\"34710528\"] \n  44 -> 45 [size =\"34710528\"]\n  45 [size=\"165632000\", alpha=\"0.17\", expect_size=\"49689600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41928704\", alpha=\"0.18\", expect_size=\"20964352\"] \n  1 -> 4 [size =\"20964352\"]\n  1 -> 5 [size =\"20964352\"]\n  1 -> 6 [size =\"20964352\"]\n  1 -> 7 [size =\"20964352\"]\n  2 [size=\"38522880\", alpha=\"0.15\", expect_size=\"19261440\"] \n  2 -> 4 [size =\"19261440\"]\n  2 -> 5 [size =\"19261440\"]\n  3 [size=\"29767680\", alpha=\"0.07\", expect_size=\"14883840\"] \n  4 [size=\"33171456\", alpha=\"0.01\", expect_size=\"16585728\"] \n  4 -> 8 [size =\"16585728\"]\n  4 -> 9 [size =\"16585728\"]\n  4 -> 11 [size =\"16585728\"]\n  5 [size=\"27115520\", alpha=\"0.08\", expect_size=\"13557760\"] \n  5 -> 9 [size =\"13557760\"]\n  6 [size=\"102793216\", alpha=\"0.08\", expect_size=\"51396608\"] \n  6 -> 8 [size =\"51396608\"]\n  6 -> 9 [size =\"51396608\"]\n  7 [size=\"31918080\", alpha=\"0.01\", expect_size=\"15959040\"] \n  7 -> 8 [size =\"15959040\"]\n  7 -> 10 [size =\"15959040\"]\n  7 -> 11 [size =\"15959040\"]\n  8 [size=\"26705920\", alpha=\"0.11\", expect_size=\"13352960\"] \n  9 [size=\"19886080\", alpha=\"0.08\", expect_size=\"9943040\"] \n  9 -> 12 [size =\"9943040\"]\n  10 [size=\"68784128\", alpha=\"0.05\", expect_size=\"34392064\"] \n  10 -> 12 [size =\"34392064\"]\n  10 -> 13 [size =\"34392064\"]\n  11 [size=\"76525568\", alpha=\"0.05\", expect_size=\"38262784\"] \n  11 -> 13 [size =\"38262784\"]\n  11 -> 13 [size =\"38262784\"]\n  12 [size=\"67176448\", alpha=\"0.04\", expect_size=\"33588224\"] \n  12 -> 14 [size =\"33588224\"]\n  13 [size=\"44843008\", alpha=\"0.09\", expect_size=\"22421504\"] \n  14 [size=\"78794752\", alpha=\"0.04\", expect_size=\"39397376\"] \n  14 -> 15 [size =\"39397376\"]\n  14 -> 16 [size =\"39397376\"]\n  14 -> 17 [size =\"39397376\"]\n  15 [size=\"83120128\", alpha=\"0.19\", expect_size=\"41560064\"] \n  15 -> 18 [size =\"41560064\"]\n  15 -> 21 [size =\"41560064\"]\n  16 [size=\"27959296\", alpha=\"0.13\", expect_size=\"13979648\"] \n  16 -> 19 [size =\"13979648\"]\n  16 -> 20 [size =\"13979648\"]\n  16 -> 21 [size =\"13979648\"]\n  17 [size=\"65310720\", alpha=\"0.08\", expect_size=\"32655360\"] \n  17 -> 18 [size =\"32655360\"]\n  17 -> 21 [size =\"32655360\"]\n  18 [size=\"69251072\", alpha=\"0.09\", expect_size=\"34625536\"] \n  18 -> 22 [size =\"34625536\"]\n  18 -> 23 [size =\"34625536\"]\n  19 [size=\"28426240\", alpha=\"0.17\", expect_size=\"14213120\"] \n  19 -> 22 [size =\"14213120\"]\n  20 [size=\"68323328\", alpha=\"0.08\", expect_size=\"34161664\"] \n  20 -> 22 [size =\"34161664\"]\n  21 [size=\"92170240\", alpha=\"0.06\", expect_size=\"46085120\"] \n  22 [size=\"21360640\", alpha=\"0.09\", expect_size=\"10680320\"] \n  22 -> 25 [size =\"10680320\"]\n  22 -> 26 [size =\"10680320\"]\n  23 [size=\"38129664\", alpha=\"0.17\", expect_size=\"19064832\"] \n  23 -> 24 [size =\"19064832\"]\n  24 [size=\"79484928\", alpha=\"0.10\", expect_size=\"39742464\"] \n  24 -> 28 [size =\"39742464\"]\n  24 -> 29 [size =\"39742464\"]\n  24 -> 30 [size =\"39742464\"]\n  25 [size=\"96446464\", alpha=\"0.06\", expect_size=\"48223232\"] \n  25 -> 28 [size =\"48223232\"]\n  26 [size=\"90820608\", alpha=\"0.02\", expect_size=\"45410304\"] \n  26 -> 27 [size =\"45410304\"]\n  26 -> 29 [size =\"45410304\"]\n  27 [size=\"58208256\", alpha=\"0.02\", expect_size=\"29104128\"] \n  28 [size=\"93620224\", alpha=\"0.05\", expect_size=\"46810112\"] \n  28 -> 32 [size =\"46810112\"]\n  29 [size=\"43329536\", alpha=\"0.11\", expect_size=\"21664768\"] \n  29 -> 32 [size =\"21664768\"]\n  30 [size=\"28520448\", alpha=\"0.09\", expect_size=\"14260224\"] \n  30 -> 31 [size =\"14260224\"]\n  30 -> 32 [size =\"14260224\"]\n  31 [size=\"66062336\", alpha=\"0.01\", expect_size=\"33031168\"] \n  31 -> 33 [size =\"33031168\"]\n  31 -> 34 [size =\"33031168\"]\n  31 -> 35 [size =\"33031168\"]\n  31 -> 36 [size =\"33031168\"]\n  32 [size=\"93028352\", alpha=\"0.05\", expect_size=\"46514176\"] \n  32 -> 34 [size =\"46514176\"]\n  32 -> 36 [size =\"46514176\"]\n  33 [size=\"43085824\", alpha=\"0.16\", expect_size=\"21542912\"] \n  33 -> 37 [size =\"21542912\"]\n  33 -> 39 [size =\"21542912\"]\n  34 [size=\"29888512\", alpha=\"0.02\", expect_size=\"14944256\"] \n  34 -> 37 [size =\"14944256\"]\n  35 [size=\"76124160\", alpha=\"0.03\", expect_size=\"38062080\"] \n  36 [size=\"104050688\", alpha=\"0.08\", expect_size=\"52025344\"] \n  36 -> 37 [size =\"52025344\"]\n  36 -> 38 [size =\"52025344\"]\n  36 -> 39 [size =\"52025344\"]\n  37 [size=\"17231872\", alpha=\"0.05\", expect_size=\"8615936\"] \n  38 [size=\"25847808\", alpha=\"0.14\", expect_size=\"12923904\"] \n  38 -> 40 [size =\"12923904\"]\n  39 [size=\"51744768\", alpha=\"0.06\", expect_size=\"25872384\"] \n  39 -> 41 [size =\"25872384\"]\n  40 [size=\"104323072\", alpha=\"0.12\", expect_size=\"52161536\"] \n  40 -> 42 [size =\"52161536\"]\n  40 -> 43 [size =\"52161536\"]\n  40 -> 44 [size =\"52161536\"]\n  41 [size=\"53141504\", alpha=\"0.14\", expect_size=\"26570752\"] \n  41 -> 42 [size =\"26570752\"]\n  41 -> 43 [size =\"26570752\"]\n  41 -> 44 [size =\"26570752\"]\n  42 [size=\"58609664\", alpha=\"0.18\", expect_size=\"29304832\"] \n  43 [size=\"83046400\", alpha=\"0.09\", expect_size=\"41523200\"] \n  43 -> 45 [size =\"41523200\"]\n  44 [size=\"66441216\", alpha=\"0.14\", expect_size=\"33220608\"] \n  45 [size=\"77101056\", alpha=\"0.17\", expect_size=\"38550528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66447360\", alpha=\"0.08\", expect_size=\"33223680\"] \n  2 [size=\"66770944\", alpha=\"0.19\", expect_size=\"33385472\"] \n  2 -> 38 [size =\"33385472\"]\n  2 -> 44 [size =\"33385472\"]\n  2 -> 45 [size =\"33385472\"]\n  3 [size=\"71542784\", alpha=\"0.16\", expect_size=\"35771392\"] \n  3 -> 38 [size =\"35771392\"]\n  3 -> 40 [size =\"35771392\"]\n  3 -> 41 [size =\"35771392\"]\n  4 [size=\"75741184\", alpha=\"0.16\", expect_size=\"37870592\"] \n  4 -> 34 [size =\"37870592\"]\n  4 -> 36 [size =\"37870592\"]\n  4 -> 40 [size =\"37870592\"]\n  4 -> 41 [size =\"37870592\"]\n  5 [size=\"41402368\", alpha=\"0.14\", expect_size=\"20701184\"] \n  5 -> 34 [size =\"20701184\"]\n  5 -> 39 [size =\"20701184\"]\n  5 -> 42 [size =\"20701184\"]\n  6 [size=\"61693952\", alpha=\"0.03\", expect_size=\"30846976\"] \n  6 -> 32 [size =\"30846976\"]\n  6 -> 34 [size =\"30846976\"]\n  6 -> 39 [size =\"30846976\"]\n  6 -> 41 [size =\"30846976\"]\n  7 [size=\"66445312\", alpha=\"0.03\", expect_size=\"33222656\"] \n  7 -> 31 [size =\"33222656\"]\n  7 -> 34 [size =\"33222656\"]\n  7 -> 41 [size =\"33222656\"]\n  7 -> 44 [size =\"33222656\"]\n  8 [size=\"12998656\", alpha=\"0.05\", expect_size=\"6499328\"] \n  8 -> 35 [size =\"6499328\"]\n  8 -> 41 [size =\"6499328\"]\n  8 -> 41 [size =\"6499328\"]\n  8 -> 44 [size =\"6499328\"]\n  9 [size=\"75532288\", alpha=\"0.08\", expect_size=\"37766144\"] \n  9 -> 41 [size =\"37766144\"]\n  9 -> 44 [size =\"37766144\"]\n  10 [size=\"50280448\", alpha=\"0.18\", expect_size=\"25140224\"] \n  10 -> 39 [size =\"25140224\"]\n  10 -> 41 [size =\"25140224\"]\n  10 -> 44 [size =\"25140224\"]\n  11 [size=\"77234176\", alpha=\"0.16\", expect_size=\"38617088\"] \n  11 -> 38 [size =\"38617088\"]\n  11 -> 41 [size =\"38617088\"]\n  11 -> 44 [size =\"38617088\"]\n  12 [size=\"18925568\", alpha=\"0.10\", expect_size=\"9462784\"] \n  12 -> 32 [size =\"9462784\"]\n  12 -> 38 [size =\"9462784\"]\n  12 -> 45 [size =\"9462784\"]\n  13 [size=\"16068608\", alpha=\"0.12\", expect_size=\"8034304\"] \n  13 -> 32 [size =\"8034304\"]\n  13 -> 34 [size =\"8034304\"]\n  13 -> 38 [size =\"8034304\"]\n  13 -> 39 [size =\"8034304\"]\n  13 -> 45 [size =\"8034304\"]\n  14 [size=\"92837888\", alpha=\"0.09\", expect_size=\"46418944\"] \n  14 -> 32 [size =\"46418944\"]\n  14 -> 33 [size =\"46418944\"]\n  14 -> 35 [size =\"46418944\"]\n  14 -> 38 [size =\"46418944\"]\n  14 -> 41 [size =\"46418944\"]\n  14 -> 45 [size =\"46418944\"]\n  15 [size=\"73472000\", alpha=\"0.19\", expect_size=\"36736000\"] \n  15 -> 32 [size =\"36736000\"]\n  15 -> 33 [size =\"36736000\"]\n  15 -> 39 [size =\"36736000\"]\n  15 -> 44 [size =\"36736000\"]\n  16 [size=\"46233600\", alpha=\"0.05\", expect_size=\"23116800\"] \n  16 -> 36 [size =\"23116800\"]\n  16 -> 41 [size =\"23116800\"]\n  17 [size=\"59332608\", alpha=\"0.13\", expect_size=\"29666304\"] \n  17 -> 32 [size =\"29666304\"]\n  17 -> 34 [size =\"29666304\"]\n  17 -> 39 [size =\"29666304\"]\n  17 -> 43 [size =\"29666304\"]\n  17 -> 45 [size =\"29666304\"]\n  18 [size=\"71759872\", alpha=\"0.10\", expect_size=\"35879936\"] \n  18 -> 39 [size =\"35879936\"]\n  18 -> 40 [size =\"35879936\"]\n  18 -> 41 [size =\"35879936\"]\n  18 -> 44 [size =\"35879936\"]\n  19 [size=\"93007872\", alpha=\"0.19\", expect_size=\"46503936\"] \n  19 -> 35 [size =\"46503936\"]\n  19 -> 42 [size =\"46503936\"]\n  19 -> 44 [size =\"46503936\"]\n  20 [size=\"35702784\", alpha=\"0.03\", expect_size=\"17851392\"] \n  20 -> 33 [size =\"17851392\"]\n  20 -> 35 [size =\"17851392\"]\n  20 -> 39 [size =\"17851392\"]\n  20 -> 44 [size =\"17851392\"]\n  21 [size=\"27944960\", alpha=\"0.19\", expect_size=\"13972480\"] \n  21 -> 33 [size =\"13972480\"]\n  21 -> 37 [size =\"13972480\"]\n  21 -> 44 [size =\"13972480\"]\n  21 -> 45 [size =\"13972480\"]\n  22 [size=\"104828928\", alpha=\"0.06\", expect_size=\"52414464\"] \n  22 -> 35 [size =\"52414464\"]\n  22 -> 37 [size =\"52414464\"]\n  22 -> 42 [size =\"52414464\"]\n  22 -> 44 [size =\"52414464\"]\n  23 [size=\"56768512\", alpha=\"0.07\", expect_size=\"28384256\"] \n  23 -> 32 [size =\"28384256\"]\n  23 -> 41 [size =\"28384256\"]\n  23 -> 44 [size =\"28384256\"]\n  24 [size=\"18919424\", alpha=\"0.01\", expect_size=\"9459712\"] \n  24 -> 32 [size =\"9459712\"]\n  24 -> 35 [size =\"9459712\"]\n  24 -> 39 [size =\"9459712\"]\n  24 -> 41 [size =\"9459712\"]\n  25 [size=\"59785216\", alpha=\"0.02\", expect_size=\"29892608\"] \n  25 -> 35 [size =\"29892608\"]\n  25 -> 37 [size =\"29892608\"]\n  25 -> 39 [size =\"29892608\"]\n  25 -> 44 [size =\"29892608\"]\n  25 -> 45 [size =\"29892608\"]\n  26 [size=\"55103488\", alpha=\"0.14\", expect_size=\"27551744\"] \n  26 -> 31 [size =\"27551744\"]\n  26 -> 32 [size =\"27551744\"]\n  26 -> 38 [size =\"27551744\"]\n  26 -> 39 [size =\"27551744\"]\n  26 -> 41 [size =\"27551744\"]\n  26 -> 44 [size =\"27551744\"]\n  27 [size=\"79362048\", alpha=\"0.17\", expect_size=\"39681024\"] \n  27 -> 34 [size =\"39681024\"]\n  27 -> 38 [size =\"39681024\"]\n  27 -> 39 [size =\"39681024\"]\n  27 -> 40 [size =\"39681024\"]\n  27 -> 41 [size =\"39681024\"]\n  27 -> 44 [size =\"39681024\"]\n  28 [size=\"46524416\", alpha=\"0.01\", expect_size=\"23262208\"] \n  28 -> 34 [size =\"23262208\"]\n  28 -> 37 [size =\"23262208\"]\n  28 -> 39 [size =\"23262208\"]\n  28 -> 44 [size =\"23262208\"]\n  28 -> 45 [size =\"23262208\"]\n  29 [size=\"93589504\", alpha=\"0.19\", expect_size=\"46794752\"] \n  29 -> 31 [size =\"46794752\"]\n  29 -> 32 [size =\"46794752\"]\n  29 -> 35 [size =\"46794752\"]\n  29 -> 44 [size =\"46794752\"]\n  29 -> 45 [size =\"46794752\"]\n  30 [size=\"90632192\", alpha=\"0.05\", expect_size=\"45316096\"] \n  30 -> 34 [size =\"45316096\"]\n  30 -> 36 [size =\"45316096\"]\n  30 -> 38 [size =\"45316096\"]\n  30 -> 39 [size =\"45316096\"]\n  30 -> 40 [size =\"45316096\"]\n  30 -> 42 [size =\"45316096\"]\n  30 -> 45 [size =\"45316096\"]\n  31 [size=\"10952704\", alpha=\"0.06\", expect_size=\"5476352\"] \n  32 [size=\"99256320\", alpha=\"0.08\", expect_size=\"49628160\"] \n  33 [size=\"34342912\", alpha=\"0.12\", expect_size=\"17171456\"] \n  34 [size=\"66013184\", alpha=\"0.12\", expect_size=\"33006592\"] \n  35 [size=\"70782976\", alpha=\"0.07\", expect_size=\"35391488\"] \n  36 [size=\"79568896\", alpha=\"0.08\", expect_size=\"39784448\"] \n  37 [size=\"49207296\", alpha=\"0.01\", expect_size=\"24603648\"] \n  38 [size=\"35659776\", alpha=\"0.06\", expect_size=\"17829888\"] \n  39 [size=\"41441280\", alpha=\"0.08\", expect_size=\"20720640\"] \n  40 [size=\"37224448\", alpha=\"0.16\", expect_size=\"18612224\"] \n  41 [size=\"62808064\", alpha=\"0.08\", expect_size=\"31404032\"] \n  42 [size=\"90564608\", alpha=\"0.20\", expect_size=\"45282304\"] \n  43 [size=\"34564096\", alpha=\"0.01\", expect_size=\"17282048\"] \n  44 [size=\"89137152\", alpha=\"0.05\", expect_size=\"44568576\"] \n  45 [size=\"53518336\", alpha=\"0.18\", expect_size=\"26759168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76087296\", alpha=\"0.15\", expect_size=\"38043648\"] \n  1 -> 39 [size =\"38043648\"]\n  1 -> 40 [size =\"38043648\"]\n  2 [size=\"60921856\", alpha=\"0.01\", expect_size=\"30460928\"] \n  2 -> 37 [size =\"30460928\"]\n  2 -> 38 [size =\"30460928\"]\n  2 -> 40 [size =\"30460928\"]\n  3 [size=\"81620992\", alpha=\"0.17\", expect_size=\"40810496\"] \n  3 -> 36 [size =\"40810496\"]\n  3 -> 37 [size =\"40810496\"]\n  3 -> 38 [size =\"40810496\"]\n  3 -> 40 [size =\"40810496\"]\n  3 -> 41 [size =\"40810496\"]\n  3 -> 42 [size =\"40810496\"]\n  4 [size=\"11470848\", alpha=\"0.18\", expect_size=\"5735424\"] \n  4 -> 39 [size =\"5735424\"]\n  4 -> 41 [size =\"5735424\"]\n  5 [size=\"86478848\", alpha=\"0.01\", expect_size=\"43239424\"] \n  5 -> 38 [size =\"43239424\"]\n  5 -> 41 [size =\"43239424\"]\n  5 -> 42 [size =\"43239424\"]\n  5 -> 44 [size =\"43239424\"]\n  6 [size=\"16594944\", alpha=\"0.19\", expect_size=\"8297472\"] \n  6 -> 37 [size =\"8297472\"]\n  6 -> 39 [size =\"8297472\"]\n  6 -> 41 [size =\"8297472\"]\n  6 -> 42 [size =\"8297472\"]\n  6 -> 43 [size =\"8297472\"]\n  7 [size=\"79398912\", alpha=\"0.11\", expect_size=\"39699456\"] \n  7 -> 37 [size =\"39699456\"]\n  7 -> 38 [size =\"39699456\"]\n  7 -> 39 [size =\"39699456\"]\n  7 -> 40 [size =\"39699456\"]\n  7 -> 41 [size =\"39699456\"]\n  7 -> 43 [size =\"39699456\"]\n  8 [size=\"35039232\", alpha=\"0.03\", expect_size=\"17519616\"] \n  8 -> 36 [size =\"17519616\"]\n  8 -> 37 [size =\"17519616\"]\n  8 -> 41 [size =\"17519616\"]\n  9 [size=\"19793920\", alpha=\"0.01\", expect_size=\"9896960\"] \n  9 -> 36 [size =\"9896960\"]\n  9 -> 37 [size =\"9896960\"]\n  9 -> 38 [size =\"9896960\"]\n  9 -> 41 [size =\"9896960\"]\n  10 [size=\"61202432\", alpha=\"0.16\", expect_size=\"30601216\"] \n  10 -> 35 [size =\"30601216\"]\n  10 -> 36 [size =\"30601216\"]\n  10 -> 37 [size =\"30601216\"]\n  10 -> 38 [size =\"30601216\"]\n  11 [size=\"24358912\", alpha=\"0.17\", expect_size=\"12179456\"] \n  11 -> 36 [size =\"12179456\"]\n  11 -> 36 [size =\"12179456\"]\n  11 -> 37 [size =\"12179456\"]\n  11 -> 41 [size =\"12179456\"]\n  11 -> 42 [size =\"12179456\"]\n  12 [size=\"94906368\", alpha=\"0.15\", expect_size=\"47453184\"] \n  12 -> 35 [size =\"47453184\"]\n  12 -> 37 [size =\"47453184\"]\n  12 -> 40 [size =\"47453184\"]\n  12 -> 41 [size =\"47453184\"]\n  12 -> 42 [size =\"47453184\"]\n  13 [size=\"100241408\", alpha=\"0.10\", expect_size=\"50120704\"] \n  13 -> 36 [size =\"50120704\"]\n  13 -> 41 [size =\"50120704\"]\n  13 -> 42 [size =\"50120704\"]\n  14 [size=\"84045824\", alpha=\"0.13\", expect_size=\"42022912\"] \n  14 -> 38 [size =\"42022912\"]\n  14 -> 39 [size =\"42022912\"]\n  14 -> 41 [size =\"42022912\"]\n  14 -> 42 [size =\"42022912\"]\n  14 -> 43 [size =\"42022912\"]\n  15 [size=\"73986048\", alpha=\"0.11\", expect_size=\"36993024\"] \n  15 -> 35 [size =\"36993024\"]\n  15 -> 40 [size =\"36993024\"]\n  15 -> 42 [size =\"36993024\"]\n  15 -> 42 [size =\"36993024\"]\n  15 -> 44 [size =\"36993024\"]\n  16 [size=\"80453632\", alpha=\"0.05\", expect_size=\"40226816\"] \n  16 -> 40 [size =\"40226816\"]\n  17 [size=\"76210176\", alpha=\"0.15\", expect_size=\"38105088\"] \n  17 -> 36 [size =\"38105088\"]\n  17 -> 40 [size =\"38105088\"]\n  17 -> 43 [size =\"38105088\"]\n  18 [size=\"31680512\", alpha=\"0.11\", expect_size=\"15840256\"] \n  18 -> 36 [size =\"15840256\"]\n  18 -> 37 [size =\"15840256\"]\n  18 -> 42 [size =\"15840256\"]\n  18 -> 43 [size =\"15840256\"]\n  19 [size=\"47958016\", alpha=\"0.17\", expect_size=\"23979008\"] \n  19 -> 36 [size =\"23979008\"]\n  19 -> 38 [size =\"23979008\"]\n  19 -> 40 [size =\"23979008\"]\n  19 -> 42 [size =\"23979008\"]\n  19 -> 43 [size =\"23979008\"]\n  20 [size=\"53993472\", alpha=\"0.16\", expect_size=\"26996736\"] \n  20 -> 35 [size =\"26996736\"]\n  20 -> 42 [size =\"26996736\"]\n  21 [size=\"35360768\", alpha=\"0.07\", expect_size=\"17680384\"] \n  21 -> 36 [size =\"17680384\"]\n  21 -> 37 [size =\"17680384\"]\n  21 -> 38 [size =\"17680384\"]\n  21 -> 42 [size =\"17680384\"]\n  21 -> 43 [size =\"17680384\"]\n  21 -> 44 [size =\"17680384\"]\n  22 [size=\"19863552\", alpha=\"0.10\", expect_size=\"9931776\"] \n  22 -> 37 [size =\"9931776\"]\n  22 -> 42 [size =\"9931776\"]\n  23 [size=\"88676352\", alpha=\"0.08\", expect_size=\"44338176\"] \n  23 -> 39 [size =\"44338176\"]\n  23 -> 41 [size =\"44338176\"]\n  23 -> 44 [size =\"44338176\"]\n  24 [size=\"41594880\", alpha=\"0.06\", expect_size=\"20797440\"] \n  24 -> 40 [size =\"20797440\"]\n  24 -> 41 [size =\"20797440\"]\n  25 [size=\"101156864\", alpha=\"0.20\", expect_size=\"50578432\"] \n  25 -> 38 [size =\"50578432\"]\n  25 -> 39 [size =\"50578432\"]\n  25 -> 40 [size =\"50578432\"]\n  25 -> 41 [size =\"50578432\"]\n  26 [size=\"59611136\", alpha=\"0.15\", expect_size=\"29805568\"] \n  26 -> 37 [size =\"29805568\"]\n  26 -> 41 [size =\"29805568\"]\n  27 [size=\"82591744\", alpha=\"0.05\", expect_size=\"41295872\"] \n  27 -> 39 [size =\"41295872\"]\n  27 -> 40 [size =\"41295872\"]\n  27 -> 41 [size =\"41295872\"]\n  28 [size=\"57665536\", alpha=\"0.20\", expect_size=\"28832768\"] \n  28 -> 35 [size =\"28832768\"]\n  28 -> 37 [size =\"28832768\"]\n  28 -> 38 [size =\"28832768\"]\n  29 [size=\"13193216\", alpha=\"0.17\", expect_size=\"6596608\"] \n  29 -> 37 [size =\"6596608\"]\n  29 -> 44 [size =\"6596608\"]\n  29 -> 45 [size =\"6596608\"]\n  30 [size=\"95713280\", alpha=\"0.05\", expect_size=\"47856640\"] \n  30 -> 36 [size =\"47856640\"]\n  30 -> 37 [size =\"47856640\"]\n  30 -> 40 [size =\"47856640\"]\n  30 -> 41 [size =\"47856640\"]\n  30 -> 44 [size =\"47856640\"]\n  31 [size=\"74526720\", alpha=\"0.16\", expect_size=\"37263360\"] \n  31 -> 37 [size =\"37263360\"]\n  31 -> 38 [size =\"37263360\"]\n  31 -> 40 [size =\"37263360\"]\n  31 -> 41 [size =\"37263360\"]\n  31 -> 42 [size =\"37263360\"]\n  32 [size=\"15237120\", alpha=\"0.04\", expect_size=\"7618560\"] \n  32 -> 36 [size =\"7618560\"]\n  32 -> 37 [size =\"7618560\"]\n  32 -> 38 [size =\"7618560\"]\n  32 -> 40 [size =\"7618560\"]\n  32 -> 41 [size =\"7618560\"]\n  33 [size=\"62650368\", alpha=\"0.12\", expect_size=\"31325184\"] \n  33 -> 36 [size =\"31325184\"]\n  33 -> 40 [size =\"31325184\"]\n  34 [size=\"99162112\", alpha=\"0.15\", expect_size=\"49581056\"] \n  34 -> 40 [size =\"49581056\"]\n  35 [size=\"31385600\", alpha=\"0.12\", expect_size=\"15692800\"] \n  36 [size=\"29685760\", alpha=\"0.04\", expect_size=\"14842880\"] \n  37 [size=\"100175872\", alpha=\"0.09\", expect_size=\"50087936\"] \n  38 [size=\"28649472\", alpha=\"0.19\", expect_size=\"14324736\"] \n  39 [size=\"28409856\", alpha=\"0.17\", expect_size=\"14204928\"] \n  40 [size=\"14391296\", alpha=\"0.04\", expect_size=\"7195648\"] \n  41 [size=\"37312512\", alpha=\"0.16\", expect_size=\"18656256\"] \n  42 [size=\"16676864\", alpha=\"0.11\", expect_size=\"8338432\"] \n  43 [size=\"36904960\", alpha=\"0.02\", expect_size=\"18452480\"] \n  44 [size=\"93382656\", alpha=\"0.19\", expect_size=\"46691328\"] \n  45 [size=\"70924288\", alpha=\"0.16\", expect_size=\"35462144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38789120\", alpha=\"0.02\", expect_size=\"19394560\"] \n  1 -> 31 [size =\"19394560\"]\n  1 -> 35 [size =\"19394560\"]\n  1 -> 37 [size =\"19394560\"]\n  1 -> 41 [size =\"19394560\"]\n  1 -> 43 [size =\"19394560\"]\n  2 [size=\"55343104\", alpha=\"0.03\", expect_size=\"27671552\"] \n  2 -> 31 [size =\"27671552\"]\n  2 -> 32 [size =\"27671552\"]\n  2 -> 37 [size =\"27671552\"]\n  2 -> 40 [size =\"27671552\"]\n  2 -> 41 [size =\"27671552\"]\n  2 -> 44 [size =\"27671552\"]\n  3 [size=\"91996160\", alpha=\"0.07\", expect_size=\"45998080\"] \n  3 -> 30 [size =\"45998080\"]\n  3 -> 31 [size =\"45998080\"]\n  3 -> 33 [size =\"45998080\"]\n  3 -> 36 [size =\"45998080\"]\n  3 -> 37 [size =\"45998080\"]\n  3 -> 41 [size =\"45998080\"]\n  3 -> 43 [size =\"45998080\"]\n  4 [size=\"41897984\", alpha=\"0.10\", expect_size=\"20948992\"] \n  4 -> 31 [size =\"20948992\"]\n  4 -> 31 [size =\"20948992\"]\n  4 -> 33 [size =\"20948992\"]\n  4 -> 34 [size =\"20948992\"]\n  4 -> 36 [size =\"20948992\"]\n  4 -> 37 [size =\"20948992\"]\n  4 -> 43 [size =\"20948992\"]\n  4 -> 45 [size =\"20948992\"]\n  5 [size=\"37543936\", alpha=\"0.19\", expect_size=\"18771968\"] \n  5 -> 32 [size =\"18771968\"]\n  5 -> 33 [size =\"18771968\"]\n  5 -> 33 [size =\"18771968\"]\n  5 -> 34 [size =\"18771968\"]\n  5 -> 36 [size =\"18771968\"]\n  5 -> 37 [size =\"18771968\"]\n  5 -> 38 [size =\"18771968\"]\n  5 -> 42 [size =\"18771968\"]\n  5 -> 44 [size =\"18771968\"]\n  6 [size=\"66267136\", alpha=\"0.16\", expect_size=\"33133568\"] \n  6 -> 33 [size =\"33133568\"]\n  6 -> 33 [size =\"33133568\"]\n  6 -> 34 [size =\"33133568\"]\n  7 [size=\"45619200\", alpha=\"0.09\", expect_size=\"22809600\"] \n  7 -> 32 [size =\"22809600\"]\n  7 -> 35 [size =\"22809600\"]\n  7 -> 36 [size =\"22809600\"]\n  7 -> 38 [size =\"22809600\"]\n  7 -> 39 [size =\"22809600\"]\n  7 -> 41 [size =\"22809600\"]\n  7 -> 42 [size =\"22809600\"]\n  7 -> 44 [size =\"22809600\"]\n  7 -> 45 [size =\"22809600\"]\n  8 [size=\"57597952\", alpha=\"0.03\", expect_size=\"28798976\"] \n  8 -> 31 [size =\"28798976\"]\n  8 -> 32 [size =\"28798976\"]\n  8 -> 38 [size =\"28798976\"]\n  8 -> 39 [size =\"28798976\"]\n  8 -> 40 [size =\"28798976\"]\n  8 -> 41 [size =\"28798976\"]\n  8 -> 44 [size =\"28798976\"]\n  8 -> 45 [size =\"28798976\"]\n  9 [size=\"59031552\", alpha=\"0.15\", expect_size=\"29515776\"] \n  9 -> 32 [size =\"29515776\"]\n  9 -> 33 [size =\"29515776\"]\n  9 -> 34 [size =\"29515776\"]\n  9 -> 37 [size =\"29515776\"]\n  9 -> 43 [size =\"29515776\"]\n  10 [size=\"25659392\", alpha=\"0.04\", expect_size=\"12829696\"] \n  10 -> 31 [size =\"12829696\"]\n  10 -> 32 [size =\"12829696\"]\n  10 -> 33 [size =\"12829696\"]\n  10 -> 41 [size =\"12829696\"]\n  10 -> 45 [size =\"12829696\"]\n  11 [size=\"19542016\", alpha=\"0.18\", expect_size=\"9771008\"] \n  11 -> 31 [size =\"9771008\"]\n  11 -> 33 [size =\"9771008\"]\n  11 -> 33 [size =\"9771008\"]\n  11 -> 41 [size =\"9771008\"]\n  11 -> 42 [size =\"9771008\"]\n  11 -> 45 [size =\"9771008\"]\n  12 [size=\"30404608\", alpha=\"0.10\", expect_size=\"15202304\"] \n  12 -> 31 [size =\"15202304\"]\n  12 -> 33 [size =\"15202304\"]\n  12 -> 36 [size =\"15202304\"]\n  12 -> 37 [size =\"15202304\"]\n  12 -> 39 [size =\"15202304\"]\n  12 -> 41 [size =\"15202304\"]\n  12 -> 44 [size =\"15202304\"]\n  12 -> 45 [size =\"15202304\"]\n  13 [size=\"44201984\", alpha=\"0.19\", expect_size=\"22100992\"] \n  13 -> 33 [size =\"22100992\"]\n  13 -> 33 [size =\"22100992\"]\n  13 -> 37 [size =\"22100992\"]\n  13 -> 40 [size =\"22100992\"]\n  13 -> 45 [size =\"22100992\"]\n  14 [size=\"76959744\", alpha=\"0.08\", expect_size=\"38479872\"] \n  14 -> 31 [size =\"38479872\"]\n  14 -> 32 [size =\"38479872\"]\n  14 -> 33 [size =\"38479872\"]\n  14 -> 34 [size =\"38479872\"]\n  14 -> 36 [size =\"38479872\"]\n  14 -> 38 [size =\"38479872\"]\n  14 -> 40 [size =\"38479872\"]\n  14 -> 43 [size =\"38479872\"]\n  14 -> 44 [size =\"38479872\"]\n  14 -> 45 [size =\"38479872\"]\n  15 [size=\"29489152\", alpha=\"0.05\", expect_size=\"14744576\"] \n  15 -> 31 [size =\"14744576\"]\n  15 -> 34 [size =\"14744576\"]\n  15 -> 40 [size =\"14744576\"]\n  15 -> 43 [size =\"14744576\"]\n  15 -> 44 [size =\"14744576\"]\n  16 [size=\"23087104\", alpha=\"0.06\", expect_size=\"11543552\"] \n  16 -> 30 [size =\"11543552\"]\n  16 -> 33 [size =\"11543552\"]\n  16 -> 40 [size =\"11543552\"]\n  16 -> 41 [size =\"11543552\"]\n  16 -> 42 [size =\"11543552\"]\n  16 -> 43 [size =\"11543552\"]\n  16 -> 45 [size =\"11543552\"]\n  17 [size=\"96659456\", alpha=\"0.18\", expect_size=\"48329728\"] \n  17 -> 31 [size =\"48329728\"]\n  17 -> 33 [size =\"48329728\"]\n  17 -> 40 [size =\"48329728\"]\n  17 -> 41 [size =\"48329728\"]\n  17 -> 42 [size =\"48329728\"]\n  17 -> 45 [size =\"48329728\"]\n  18 [size=\"43366400\", alpha=\"0.13\", expect_size=\"21683200\"] \n  18 -> 31 [size =\"21683200\"]\n  18 -> 32 [size =\"21683200\"]\n  18 -> 33 [size =\"21683200\"]\n  18 -> 40 [size =\"21683200\"]\n  18 -> 41 [size =\"21683200\"]\n  18 -> 42 [size =\"21683200\"]\n  18 -> 43 [size =\"21683200\"]\n  18 -> 44 [size =\"21683200\"]\n  19 [size=\"55955456\", alpha=\"0.18\", expect_size=\"27977728\"] \n  19 -> 31 [size =\"27977728\"]\n  19 -> 33 [size =\"27977728\"]\n  19 -> 34 [size =\"27977728\"]\n  19 -> 35 [size =\"27977728\"]\n  19 -> 37 [size =\"27977728\"]\n  19 -> 38 [size =\"27977728\"]\n  19 -> 40 [size =\"27977728\"]\n  19 -> 41 [size =\"27977728\"]\n  19 -> 42 [size =\"27977728\"]\n  19 -> 44 [size =\"27977728\"]\n  19 -> 45 [size =\"27977728\"]\n  20 [size=\"32573440\", alpha=\"0.01\", expect_size=\"16286720\"] \n  20 -> 31 [size =\"16286720\"]\n  20 -> 34 [size =\"16286720\"]\n  20 -> 37 [size =\"16286720\"]\n  20 -> 40 [size =\"16286720\"]\n  20 -> 42 [size =\"16286720\"]\n  20 -> 43 [size =\"16286720\"]\n  20 -> 45 [size =\"16286720\"]\n  21 [size=\"52262912\", alpha=\"0.09\", expect_size=\"26131456\"] \n  21 -> 32 [size =\"26131456\"]\n  21 -> 34 [size =\"26131456\"]\n  21 -> 36 [size =\"26131456\"]\n  21 -> 37 [size =\"26131456\"]\n  21 -> 38 [size =\"26131456\"]\n  21 -> 41 [size =\"26131456\"]\n  21 -> 43 [size =\"26131456\"]\n  21 -> 44 [size =\"26131456\"]\n  22 [size=\"41250816\", alpha=\"0.08\", expect_size=\"20625408\"] \n  22 -> 31 [size =\"20625408\"]\n  22 -> 32 [size =\"20625408\"]\n  22 -> 34 [size =\"20625408\"]\n  22 -> 36 [size =\"20625408\"]\n  22 -> 37 [size =\"20625408\"]\n  22 -> 43 [size =\"20625408\"]\n  22 -> 45 [size =\"20625408\"]\n  23 [size=\"88453120\", alpha=\"0.03\", expect_size=\"44226560\"] \n  23 -> 32 [size =\"44226560\"]\n  23 -> 32 [size =\"44226560\"]\n  23 -> 36 [size =\"44226560\"]\n  23 -> 37 [size =\"44226560\"]\n  23 -> 37 [size =\"44226560\"]\n  23 -> 38 [size =\"44226560\"]\n  23 -> 43 [size =\"44226560\"]\n  24 [size=\"83081216\", alpha=\"0.05\", expect_size=\"41540608\"] \n  24 -> 34 [size =\"41540608\"]\n  24 -> 37 [size =\"41540608\"]\n  24 -> 38 [size =\"41540608\"]\n  24 -> 40 [size =\"41540608\"]\n  24 -> 41 [size =\"41540608\"]\n  24 -> 43 [size =\"41540608\"]\n  24 -> 45 [size =\"41540608\"]\n  25 [size=\"24338432\", alpha=\"0.13\", expect_size=\"12169216\"] \n  25 -> 31 [size =\"12169216\"]\n  25 -> 32 [size =\"12169216\"]\n  25 -> 34 [size =\"12169216\"]\n  25 -> 41 [size =\"12169216\"]\n  25 -> 42 [size =\"12169216\"]\n  26 [size=\"45797376\", alpha=\"0.13\", expect_size=\"22898688\"] \n  26 -> 31 [size =\"22898688\"]\n  26 -> 34 [size =\"22898688\"]\n  26 -> 37 [size =\"22898688\"]\n  26 -> 38 [size =\"22898688\"]\n  26 -> 41 [size =\"22898688\"]\n  26 -> 43 [size =\"22898688\"]\n  26 -> 45 [size =\"22898688\"]\n  27 [size=\"74082304\", alpha=\"0.20\", expect_size=\"37041152\"] \n  27 -> 30 [size =\"37041152\"]\n  27 -> 31 [size =\"37041152\"]\n  27 -> 32 [size =\"37041152\"]\n  27 -> 33 [size =\"37041152\"]\n  27 -> 34 [size =\"37041152\"]\n  27 -> 37 [size =\"37041152\"]\n  27 -> 38 [size =\"37041152\"]\n  27 -> 41 [size =\"37041152\"]\n  27 -> 45 [size =\"37041152\"]\n  28 [size=\"64913408\", alpha=\"0.17\", expect_size=\"32456704\"] \n  28 -> 31 [size =\"32456704\"]\n  28 -> 33 [size =\"32456704\"]\n  28 -> 37 [size =\"32456704\"]\n  28 -> 38 [size =\"32456704\"]\n  28 -> 39 [size =\"32456704\"]\n  28 -> 41 [size =\"32456704\"]\n  28 -> 42 [size =\"32456704\"]\n  29 [size=\"32567296\", alpha=\"0.04\", expect_size=\"16283648\"] \n  29 -> 31 [size =\"16283648\"]\n  29 -> 32 [size =\"16283648\"]\n  29 -> 33 [size =\"16283648\"]\n  29 -> 37 [size =\"16283648\"]\n  29 -> 42 [size =\"16283648\"]\n  30 [size=\"22765568\", alpha=\"0.15\", expect_size=\"11382784\"] \n  31 [size=\"25714688\", alpha=\"0.08\", expect_size=\"12857344\"] \n  32 [size=\"69718016\", alpha=\"0.04\", expect_size=\"34859008\"] \n  33 [size=\"10887168\", alpha=\"0.08\", expect_size=\"5443584\"] \n  34 [size=\"25108480\", alpha=\"0.06\", expect_size=\"12554240\"] \n  35 [size=\"49422336\", alpha=\"0.08\", expect_size=\"24711168\"] \n  36 [size=\"16515072\", alpha=\"0.13\", expect_size=\"8257536\"] \n  37 [size=\"76541952\", alpha=\"0.16\", expect_size=\"38270976\"] \n  38 [size=\"75890688\", alpha=\"0.06\", expect_size=\"37945344\"] \n  39 [size=\"61675520\", alpha=\"0.05\", expect_size=\"30837760\"] \n  40 [size=\"82444288\", alpha=\"0.10\", expect_size=\"41222144\"] \n  41 [size=\"58998784\", alpha=\"0.03\", expect_size=\"29499392\"] \n  42 [size=\"94769152\", alpha=\"0.02\", expect_size=\"47384576\"] \n  43 [size=\"20928512\", alpha=\"0.19\", expect_size=\"10464256\"] \n  44 [size=\"59938816\", alpha=\"0.10\", expect_size=\"29969408\"] \n  45 [size=\"89530368\", alpha=\"0.05\", expect_size=\"44765184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80831147\", alpha=\"0.10\", expect_size=\"24249344\"] \n  1 -> 28 [size =\"24249344\"]\n  1 -> 31 [size =\"24249344\"]\n  1 -> 32 [size =\"24249344\"]\n  1 -> 37 [size =\"24249344\"]\n  1 -> 39 [size =\"24249344\"]\n  1 -> 42 [size =\"24249344\"]\n  2 [size=\"82636800\", alpha=\"0.15\", expect_size=\"24791040\"] \n  2 -> 28 [size =\"24791040\"]\n  2 -> 36 [size =\"24791040\"]\n  2 -> 42 [size =\"24791040\"]\n  3 [size=\"170311680\", alpha=\"0.17\", expect_size=\"51093504\"] \n  3 -> 25 [size =\"51093504\"]\n  3 -> 28 [size =\"51093504\"]\n  3 -> 31 [size =\"51093504\"]\n  3 -> 34 [size =\"51093504\"]\n  3 -> 36 [size =\"51093504\"]\n  3 -> 37 [size =\"51093504\"]\n  3 -> 42 [size =\"51093504\"]\n  4 [size=\"41591467\", alpha=\"0.02\", expect_size=\"12477440\"] \n  4 -> 25 [size =\"12477440\"]\n  4 -> 28 [size =\"12477440\"]\n  4 -> 32 [size =\"12477440\"]\n  4 -> 36 [size =\"12477440\"]\n  4 -> 39 [size =\"12477440\"]\n  5 [size=\"59354453\", alpha=\"0.06\", expect_size=\"17806336\"] \n  5 -> 25 [size =\"17806336\"]\n  5 -> 31 [size =\"17806336\"]\n  5 -> 39 [size =\"17806336\"]\n  6 [size=\"114298880\", alpha=\"0.02\", expect_size=\"34289664\"] \n  6 -> 25 [size =\"34289664\"]\n  6 -> 26 [size =\"34289664\"]\n  6 -> 31 [size =\"34289664\"]\n  6 -> 34 [size =\"34289664\"]\n  6 -> 35 [size =\"34289664\"]\n  6 -> 36 [size =\"34289664\"]\n  6 -> 37 [size =\"34289664\"]\n  6 -> 39 [size =\"34289664\"]\n  7 [size=\"19459413\", alpha=\"0.17\", expect_size=\"5837824\"] \n  7 -> 25 [size =\"5837824\"]\n  7 -> 31 [size =\"5837824\"]\n  7 -> 35 [size =\"5837824\"]\n  7 -> 37 [size =\"5837824\"]\n  7 -> 38 [size =\"5837824\"]\n  7 -> 39 [size =\"5837824\"]\n  7 -> 42 [size =\"5837824\"]\n  7 -> 43 [size =\"5837824\"]\n  8 [size=\"54698667\", alpha=\"0.02\", expect_size=\"16409600\"] \n  8 -> 26 [size =\"16409600\"]\n  8 -> 30 [size =\"16409600\"]\n  8 -> 31 [size =\"16409600\"]\n  8 -> 36 [size =\"16409600\"]\n  8 -> 37 [size =\"16409600\"]\n  8 -> 43 [size =\"16409600\"]\n  9 [size=\"84896427\", alpha=\"0.19\", expect_size=\"25468928\"] \n  9 -> 28 [size =\"25468928\"]\n  9 -> 31 [size =\"25468928\"]\n  9 -> 36 [size =\"25468928\"]\n  9 -> 36 [size =\"25468928\"]\n  9 -> 39 [size =\"25468928\"]\n  10 [size=\"61931520\", alpha=\"0.02\", expect_size=\"18579456\"] \n  10 -> 26 [size =\"18579456\"]\n  10 -> 31 [size =\"18579456\"]\n  10 -> 39 [size =\"18579456\"]\n  10 -> 42 [size =\"18579456\"]\n  11 [size=\"24292693\", alpha=\"0.18\", expect_size=\"7287808\"] \n  11 -> 28 [size =\"7287808\"]\n  11 -> 32 [size =\"7287808\"]\n  11 -> 38 [size =\"7287808\"]\n  11 -> 39 [size =\"7287808\"]\n  11 -> 42 [size =\"7287808\"]\n  11 -> 43 [size =\"7287808\"]\n  11 -> 45 [size =\"7287808\"]\n  12 [size=\"100167680\", alpha=\"0.05\", expect_size=\"30050304\"] \n  12 -> 25 [size =\"30050304\"]\n  12 -> 31 [size =\"30050304\"]\n  12 -> 35 [size =\"30050304\"]\n  12 -> 37 [size =\"30050304\"]\n  12 -> 38 [size =\"30050304\"]\n  12 -> 39 [size =\"30050304\"]\n  12 -> 42 [size =\"30050304\"]\n  12 -> 43 [size =\"30050304\"]\n  13 [size=\"58535253\", alpha=\"0.07\", expect_size=\"17560576\"] \n  13 -> 25 [size =\"17560576\"]\n  13 -> 26 [size =\"17560576\"]\n  13 -> 37 [size =\"17560576\"]\n  13 -> 39 [size =\"17560576\"]\n  14 [size=\"37277013\", alpha=\"0.12\", expect_size=\"11183104\"] \n  14 -> 26 [size =\"11183104\"]\n  14 -> 36 [size =\"11183104\"]\n  14 -> 37 [size =\"11183104\"]\n  14 -> 38 [size =\"11183104\"]\n  14 -> 42 [size =\"11183104\"]\n  14 -> 43 [size =\"11183104\"]\n  15 [size=\"52848640\", alpha=\"0.07\", expect_size=\"15854592\"] \n  15 -> 26 [size =\"15854592\"]\n  15 -> 27 [size =\"15854592\"]\n  15 -> 28 [size =\"15854592\"]\n  15 -> 31 [size =\"15854592\"]\n  15 -> 37 [size =\"15854592\"]\n  16 [size=\"98990080\", alpha=\"0.16\", expect_size=\"29697024\"] \n  16 -> 25 [size =\"29697024\"]\n  16 -> 26 [size =\"29697024\"]\n  16 -> 27 [size =\"29697024\"]\n  16 -> 30 [size =\"29697024\"]\n  16 -> 31 [size =\"29697024\"]\n  16 -> 35 [size =\"29697024\"]\n  16 -> 37 [size =\"29697024\"]\n  16 -> 44 [size =\"29697024\"]\n  17 [size=\"114824533\", alpha=\"0.00\", expect_size=\"34447360\"] \n  17 -> 37 [size =\"34447360\"]\n  18 [size=\"89262080\", alpha=\"0.04\", expect_size=\"26778624\"] \n  18 -> 41 [size =\"26778624\"]\n  19 [size=\"103024640\", alpha=\"0.17\", expect_size=\"30907392\"] \n  19 -> 27 [size =\"30907392\"]\n  19 -> 35 [size =\"30907392\"]\n  19 -> 40 [size =\"30907392\"]\n  19 -> 43 [size =\"30907392\"]\n  20 [size=\"92228267\", alpha=\"0.14\", expect_size=\"27668480\"] \n  20 -> 29 [size =\"27668480\"]\n  20 -> 31 [size =\"27668480\"]\n  20 -> 33 [size =\"27668480\"]\n  20 -> 35 [size =\"27668480\"]\n  20 -> 39 [size =\"27668480\"]\n  20 -> 41 [size =\"27668480\"]\n  20 -> 43 [size =\"27668480\"]\n  21 [size=\"108369920\", alpha=\"0.19\", expect_size=\"32510976\"] \n  21 -> 32 [size =\"32510976\"]\n  21 -> 33 [size =\"32510976\"]\n  21 -> 39 [size =\"32510976\"]\n  21 -> 41 [size =\"32510976\"]\n  21 -> 44 [size =\"32510976\"]\n  21 -> 45 [size =\"32510976\"]\n  22 [size=\"95023787\", alpha=\"0.12\", expect_size=\"28507136\"] \n  22 -> 25 [size =\"28507136\"]\n  22 -> 26 [size =\"28507136\"]\n  22 -> 37 [size =\"28507136\"]\n  22 -> 39 [size =\"28507136\"]\n  22 -> 43 [size =\"28507136\"]\n  23 [size=\"134509227\", alpha=\"0.05\", expect_size=\"40352768\"] \n  23 -> 26 [size =\"40352768\"]\n  23 -> 30 [size =\"40352768\"]\n  23 -> 33 [size =\"40352768\"]\n  23 -> 35 [size =\"40352768\"]\n  23 -> 36 [size =\"40352768\"]\n  23 -> 37 [size =\"40352768\"]\n  23 -> 42 [size =\"40352768\"]\n  24 [size=\"33771520\", alpha=\"0.01\", expect_size=\"10131456\"] \n  24 -> 25 [size =\"10131456\"]\n  24 -> 28 [size =\"10131456\"]\n  24 -> 29 [size =\"10131456\"]\n  24 -> 32 [size =\"10131456\"]\n  24 -> 37 [size =\"10131456\"]\n  24 -> 37 [size =\"10131456\"]\n  24 -> 39 [size =\"10131456\"]\n  24 -> 41 [size =\"10131456\"]\n  24 -> 43 [size =\"10131456\"]\n  24 -> 44 [size =\"10131456\"]\n  25 [size=\"126887253\", alpha=\"0.02\", expect_size=\"38066176\"] \n  26 [size=\"25518080\", alpha=\"0.16\", expect_size=\"7655424\"] \n  27 [size=\"152538453\", alpha=\"0.10\", expect_size=\"45761536\"] \n  28 [size=\"154282667\", alpha=\"0.08\", expect_size=\"46284800\"] \n  29 [size=\"30832640\", alpha=\"0.15\", expect_size=\"9249792\"] \n  30 [size=\"161949013\", alpha=\"0.08\", expect_size=\"48584704\"] \n  31 [size=\"112769707\", alpha=\"0.02\", expect_size=\"33830912\"] \n  32 [size=\"103939413\", alpha=\"0.06\", expect_size=\"31181824\"] \n  33 [size=\"43328853\", alpha=\"0.15\", expect_size=\"12998656\"] \n  34 [size=\"83780267\", alpha=\"0.07\", expect_size=\"25134080\"] \n  35 [size=\"92122453\", alpha=\"0.04\", expect_size=\"27636736\"] \n  36 [size=\"110240427\", alpha=\"0.10\", expect_size=\"33072128\"] \n  37 [size=\"77666987\", alpha=\"0.09\", expect_size=\"23300096\"] \n  38 [size=\"153675093\", alpha=\"0.18\", expect_size=\"46102528\"] \n  39 [size=\"60914347\", alpha=\"0.17\", expect_size=\"18274304\"] \n  40 [size=\"24098133\", alpha=\"0.05\", expect_size=\"7229440\"] \n  41 [size=\"87674880\", alpha=\"0.06\", expect_size=\"26302464\"] \n  42 [size=\"101188267\", alpha=\"0.16\", expect_size=\"30356480\"] \n  43 [size=\"147322880\", alpha=\"0.01\", expect_size=\"44196864\"] \n  44 [size=\"109854720\", alpha=\"0.08\", expect_size=\"32956416\"] \n  45 [size=\"165877760\", alpha=\"0.09\", expect_size=\"49763328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18978816\", alpha=\"0.18\", expect_size=\"9489408\"] \n  1 -> 6 [size =\"9489408\"]\n  1 -> 7 [size =\"9489408\"]\n  1 -> 9 [size =\"9489408\"]\n  2 [size=\"103510016\", alpha=\"0.14\", expect_size=\"51755008\"] \n  2 -> 6 [size =\"51755008\"]\n  2 -> 8 [size =\"51755008\"]\n  2 -> 9 [size =\"51755008\"]\n  3 [size=\"34981888\", alpha=\"0.03\", expect_size=\"17490944\"] \n  3 -> 6 [size =\"17490944\"]\n  3 -> 7 [size =\"17490944\"]\n  3 -> 8 [size =\"17490944\"]\n  4 [size=\"25208832\", alpha=\"0.09\", expect_size=\"12604416\"] \n  5 [size=\"73838592\", alpha=\"0.05\", expect_size=\"36919296\"] \n  5 -> 8 [size =\"36919296\"]\n  5 -> 9 [size =\"36919296\"]\n  6 [size=\"57237504\", alpha=\"0.01\", expect_size=\"28618752\"] \n  6 -> 12 [size =\"28618752\"]\n  6 -> 15 [size =\"28618752\"]\n  7 [size=\"92370944\", alpha=\"0.13\", expect_size=\"46185472\"] \n  7 -> 10 [size =\"46185472\"]\n  7 -> 12 [size =\"46185472\"]\n  7 -> 14 [size =\"46185472\"]\n  8 [size=\"98574336\", alpha=\"0.01\", expect_size=\"49287168\"] \n  8 -> 10 [size =\"49287168\"]\n  8 -> 11 [size =\"49287168\"]\n  8 -> 13 [size =\"49287168\"]\n  8 -> 14 [size =\"49287168\"]\n  9 [size=\"12804096\", alpha=\"0.20\", expect_size=\"6402048\"] \n  9 -> 15 [size =\"6402048\"]\n  10 [size=\"93552640\", alpha=\"0.01\", expect_size=\"46776320\"] \n  10 -> 21 [size =\"46776320\"]\n  11 [size=\"77658112\", alpha=\"0.17\", expect_size=\"38829056\"] \n  11 -> 18 [size =\"38829056\"]\n  11 -> 20 [size =\"38829056\"]\n  11 -> 21 [size =\"38829056\"]\n  11 -> 22 [size =\"38829056\"]\n  12 [size=\"67401728\", alpha=\"0.08\", expect_size=\"33700864\"] \n  12 -> 17 [size =\"33700864\"]\n  12 -> 22 [size =\"33700864\"]\n  13 [size=\"40189952\", alpha=\"0.02\", expect_size=\"20094976\"] \n  13 -> 16 [size =\"20094976\"]\n  14 [size=\"56010752\", alpha=\"0.19\", expect_size=\"28005376\"] \n  14 -> 18 [size =\"28005376\"]\n  14 -> 19 [size =\"28005376\"]\n  15 [size=\"97327104\", alpha=\"0.05\", expect_size=\"48663552\"] \n  15 -> 16 [size =\"48663552\"]\n  15 -> 18 [size =\"48663552\"]\n  15 -> 21 [size =\"48663552\"]\n  16 [size=\"27437056\", alpha=\"0.09\", expect_size=\"13718528\"] \n  16 -> 25 [size =\"13718528\"]\n  16 -> 27 [size =\"13718528\"]\n  16 -> 29 [size =\"13718528\"]\n  17 [size=\"33654784\", alpha=\"0.20\", expect_size=\"16827392\"] \n  17 -> 28 [size =\"16827392\"]\n  17 -> 29 [size =\"16827392\"]\n  18 [size=\"94087168\", alpha=\"0.12\", expect_size=\"47043584\"] \n  18 -> 23 [size =\"47043584\"]\n  18 -> 24 [size =\"47043584\"]\n  18 -> 25 [size =\"47043584\"]\n  19 [size=\"97241088\", alpha=\"0.15\", expect_size=\"48620544\"] \n  19 -> 23 [size =\"48620544\"]\n  19 -> 28 [size =\"48620544\"]\n  20 [size=\"96499712\", alpha=\"0.04\", expect_size=\"48249856\"] \n  20 -> 25 [size =\"48249856\"]\n  20 -> 29 [size =\"48249856\"]\n  21 [size=\"101908480\", alpha=\"0.16\", expect_size=\"50954240\"] \n  21 -> 26 [size =\"50954240\"]\n  22 [size=\"87173120\", alpha=\"0.07\", expect_size=\"43586560\"] \n  22 -> 25 [size =\"43586560\"]\n  22 -> 27 [size =\"43586560\"]\n  23 [size=\"29542400\", alpha=\"0.04\", expect_size=\"14771200\"] \n  23 -> 30 [size =\"14771200\"]\n  23 -> 31 [size =\"14771200\"]\n  24 [size=\"37521408\", alpha=\"0.04\", expect_size=\"18760704\"] \n  24 -> 31 [size =\"18760704\"]\n  25 [size=\"31666176\", alpha=\"0.17\", expect_size=\"15833088\"] \n  25 -> 31 [size =\"15833088\"]\n  25 -> 32 [size =\"15833088\"]\n  25 -> 33 [size =\"15833088\"]\n  26 [size=\"56934400\", alpha=\"0.20\", expect_size=\"28467200\"] \n  26 -> 31 [size =\"28467200\"]\n  27 [size=\"99602432\", alpha=\"0.20\", expect_size=\"49801216\"] \n  27 -> 33 [size =\"49801216\"]\n  27 -> 34 [size =\"49801216\"]\n  28 [size=\"98355200\", alpha=\"0.19\", expect_size=\"49177600\"] \n  28 -> 32 [size =\"49177600\"]\n  29 [size=\"60817408\", alpha=\"0.18\", expect_size=\"30408704\"] \n  30 [size=\"35442688\", alpha=\"0.16\", expect_size=\"17721344\"] \n  30 -> 37 [size =\"17721344\"]\n  31 [size=\"56410112\", alpha=\"0.07\", expect_size=\"28205056\"] \n  31 -> 38 [size =\"28205056\"]\n  32 [size=\"37842944\", alpha=\"0.10\", expect_size=\"18921472\"] \n  32 -> 35 [size =\"18921472\"]\n  32 -> 36 [size =\"18921472\"]\n  33 [size=\"72761344\", alpha=\"0.20\", expect_size=\"36380672\"] \n  33 -> 36 [size =\"36380672\"]\n  34 [size=\"91293696\", alpha=\"0.19\", expect_size=\"45646848\"] \n  34 -> 35 [size =\"45646848\"]\n  34 -> 37 [size =\"45646848\"]\n  34 -> 38 [size =\"45646848\"]\n  35 [size=\"13789184\", alpha=\"0.17\", expect_size=\"6894592\"] \n  35 -> 41 [size =\"6894592\"]\n  35 -> 42 [size =\"6894592\"]\n  35 -> 44 [size =\"6894592\"]\n  36 [size=\"92350464\", alpha=\"0.18\", expect_size=\"46175232\"] \n  36 -> 43 [size =\"46175232\"]\n  36 -> 45 [size =\"46175232\"]\n  37 [size=\"90609664\", alpha=\"0.05\", expect_size=\"45304832\"] \n  37 -> 39 [size =\"45304832\"]\n  37 -> 40 [size =\"45304832\"]\n  37 -> 43 [size =\"45304832\"]\n  38 [size=\"90456064\", alpha=\"0.09\", expect_size=\"45228032\"] \n  38 -> 41 [size =\"45228032\"]\n  39 [size=\"85606400\", alpha=\"0.11\", expect_size=\"42803200\"] \n  40 [size=\"78381056\", alpha=\"0.12\", expect_size=\"39190528\"] \n  41 [size=\"57475072\", alpha=\"0.12\", expect_size=\"28737536\"] \n  42 [size=\"90060800\", alpha=\"0.08\", expect_size=\"45030400\"] \n  43 [size=\"44310528\", alpha=\"0.08\", expect_size=\"22155264\"] \n  44 [size=\"44304384\", alpha=\"0.14\", expect_size=\"22152192\"] \n  45 [size=\"41195520\", alpha=\"0.04\", expect_size=\"20597760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85301760\", alpha=\"0.04\", expect_size=\"34120704\"] \n  1 -> 34 [size =\"34120704\"]\n  1 -> 37 [size =\"34120704\"]\n  1 -> 41 [size =\"34120704\"]\n  1 -> 43 [size =\"34120704\"]\n  2 [size=\"106984960\", alpha=\"0.18\", expect_size=\"42793984\"] \n  2 -> 42 [size =\"42793984\"]\n  2 -> 44 [size =\"42793984\"]\n  3 [size=\"35694080\", alpha=\"0.08\", expect_size=\"14277632\"] \n  3 -> 37 [size =\"14277632\"]\n  4 [size=\"107261440\", alpha=\"0.06\", expect_size=\"42904576\"] \n  4 -> 35 [size =\"42904576\"]\n  4 -> 43 [size =\"42904576\"]\n  5 [size=\"40148480\", alpha=\"0.00\", expect_size=\"16059392\"] \n  5 -> 43 [size =\"16059392\"]\n  6 [size=\"32965120\", alpha=\"0.05\", expect_size=\"13186048\"] \n  6 -> 42 [size =\"13186048\"]\n  6 -> 43 [size =\"13186048\"]\n  7 [size=\"107082240\", alpha=\"0.13\", expect_size=\"42832896\"] \n  7 -> 35 [size =\"42832896\"]\n  7 -> 36 [size =\"42832896\"]\n  7 -> 37 [size =\"42832896\"]\n  7 -> 39 [size =\"42832896\"]\n  7 -> 44 [size =\"42832896\"]\n  8 [size=\"38397440\", alpha=\"0.20\", expect_size=\"15358976\"] \n  8 -> 35 [size =\"15358976\"]\n  8 -> 36 [size =\"15358976\"]\n  8 -> 38 [size =\"15358976\"]\n  8 -> 40 [size =\"15358976\"]\n  8 -> 43 [size =\"15358976\"]\n  8 -> 44 [size =\"15358976\"]\n  9 [size=\"102681600\", alpha=\"0.06\", expect_size=\"41072640\"] \n  9 -> 36 [size =\"41072640\"]\n  9 -> 37 [size =\"41072640\"]\n  9 -> 38 [size =\"41072640\"]\n  9 -> 40 [size =\"41072640\"]\n  10 [size=\"75343360\", alpha=\"0.18\", expect_size=\"30137344\"] \n  10 -> 35 [size =\"30137344\"]\n  10 -> 37 [size =\"30137344\"]\n  10 -> 43 [size =\"30137344\"]\n  11 [size=\"123770880\", alpha=\"0.10\", expect_size=\"49508352\"] \n  11 -> 34 [size =\"49508352\"]\n  11 -> 37 [size =\"49508352\"]\n  11 -> 43 [size =\"49508352\"]\n  11 -> 44 [size =\"49508352\"]\n  12 [size=\"31232000\", alpha=\"0.15\", expect_size=\"12492800\"] \n  12 -> 38 [size =\"12492800\"]\n  12 -> 39 [size =\"12492800\"]\n  12 -> 43 [size =\"12492800\"]\n  13 [size=\"20828160\", alpha=\"0.04\", expect_size=\"8331264\"] \n  13 -> 34 [size =\"8331264\"]\n  13 -> 42 [size =\"8331264\"]\n  13 -> 45 [size =\"8331264\"]\n  14 [size=\"67834880\", alpha=\"0.01\", expect_size=\"27133952\"] \n  14 -> 35 [size =\"27133952\"]\n  14 -> 39 [size =\"27133952\"]\n  14 -> 40 [size =\"27133952\"]\n  14 -> 45 [size =\"27133952\"]\n  15 [size=\"103352320\", alpha=\"0.13\", expect_size=\"41340928\"] \n  15 -> 35 [size =\"41340928\"]\n  15 -> 39 [size =\"41340928\"]\n  15 -> 43 [size =\"41340928\"]\n  16 [size=\"104993280\", alpha=\"0.17\", expect_size=\"41997312\"] \n  16 -> 35 [size =\"41997312\"]\n  16 -> 38 [size =\"41997312\"]\n  16 -> 39 [size =\"41997312\"]\n  16 -> 41 [size =\"41997312\"]\n  17 [size=\"15482880\", alpha=\"0.16\", expect_size=\"6193152\"] \n  17 -> 36 [size =\"6193152\"]\n  17 -> 39 [size =\"6193152\"]\n  17 -> 43 [size =\"6193152\"]\n  18 [size=\"91077120\", alpha=\"0.08\", expect_size=\"36430848\"] \n  19 [size=\"90552320\", alpha=\"0.16\", expect_size=\"36220928\"] \n  19 -> 35 [size =\"36220928\"]\n  20 [size=\"124866560\", alpha=\"0.12\", expect_size=\"49946624\"] \n  20 -> 37 [size =\"49946624\"]\n  20 -> 39 [size =\"49946624\"]\n  20 -> 40 [size =\"49946624\"]\n  20 -> 44 [size =\"49946624\"]\n  20 -> 45 [size =\"49946624\"]\n  21 [size=\"112355840\", alpha=\"0.01\", expect_size=\"44942336\"] \n  21 -> 37 [size =\"44942336\"]\n  21 -> 39 [size =\"44942336\"]\n  21 -> 43 [size =\"44942336\"]\n  22 [size=\"51596800\", alpha=\"0.05\", expect_size=\"20638720\"] \n  22 -> 36 [size =\"20638720\"]\n  22 -> 37 [size =\"20638720\"]\n  22 -> 40 [size =\"20638720\"]\n  22 -> 41 [size =\"20638720\"]\n  23 [size=\"23603200\", alpha=\"0.13\", expect_size=\"9441280\"] \n  23 -> 35 [size =\"9441280\"]\n  23 -> 36 [size =\"9441280\"]\n  23 -> 41 [size =\"9441280\"]\n  23 -> 42 [size =\"9441280\"]\n  23 -> 43 [size =\"9441280\"]\n  24 [size=\"48066560\", alpha=\"0.17\", expect_size=\"19226624\"] \n  24 -> 35 [size =\"19226624\"]\n  24 -> 36 [size =\"19226624\"]\n  24 -> 37 [size =\"19226624\"]\n  24 -> 40 [size =\"19226624\"]\n  24 -> 41 [size =\"19226624\"]\n  24 -> 44 [size =\"19226624\"]\n  25 [size=\"53053440\", alpha=\"0.06\", expect_size=\"21221376\"] \n  25 -> 35 [size =\"21221376\"]\n  25 -> 39 [size =\"21221376\"]\n  25 -> 40 [size =\"21221376\"]\n  25 -> 41 [size =\"21221376\"]\n  25 -> 42 [size =\"21221376\"]\n  25 -> 43 [size =\"21221376\"]\n  26 [size=\"128680960\", alpha=\"0.18\", expect_size=\"51472384\"] \n  26 -> 35 [size =\"51472384\"]\n  26 -> 37 [size =\"51472384\"]\n  26 -> 38 [size =\"51472384\"]\n  26 -> 40 [size =\"51472384\"]\n  26 -> 42 [size =\"51472384\"]\n  26 -> 43 [size =\"51472384\"]\n  26 -> 44 [size =\"51472384\"]\n  27 [size=\"112468480\", alpha=\"0.06\", expect_size=\"44987392\"] \n  27 -> 35 [size =\"44987392\"]\n  27 -> 37 [size =\"44987392\"]\n  27 -> 40 [size =\"44987392\"]\n  28 [size=\"86410240\", alpha=\"0.19\", expect_size=\"34564096\"] \n  28 -> 35 [size =\"34564096\"]\n  28 -> 40 [size =\"34564096\"]\n  28 -> 44 [size =\"34564096\"]\n  29 [size=\"15283200\", alpha=\"0.06\", expect_size=\"6113280\"] \n  29 -> 37 [size =\"6113280\"]\n  29 -> 43 [size =\"6113280\"]\n  29 -> 44 [size =\"6113280\"]\n  30 [size=\"108753920\", alpha=\"0.04\", expect_size=\"43501568\"] \n  30 -> 43 [size =\"43501568\"]\n  30 -> 44 [size =\"43501568\"]\n  31 [size=\"62036480\", alpha=\"0.01\", expect_size=\"24814592\"] \n  31 -> 35 [size =\"24814592\"]\n  31 -> 36 [size =\"24814592\"]\n  31 -> 37 [size =\"24814592\"]\n  31 -> 42 [size =\"24814592\"]\n  31 -> 43 [size =\"24814592\"]\n  32 [size=\"65290240\", alpha=\"0.01\", expect_size=\"26116096\"] \n  32 -> 36 [size =\"26116096\"]\n  33 [size=\"94428160\", alpha=\"0.02\", expect_size=\"37771264\"] \n  33 -> 35 [size =\"37771264\"]\n  33 -> 37 [size =\"37771264\"]\n  33 -> 39 [size =\"37771264\"]\n  34 [size=\"54069760\", alpha=\"0.13\", expect_size=\"21627904\"] \n  35 [size=\"38376960\", alpha=\"0.19\", expect_size=\"15350784\"] \n  36 [size=\"74391040\", alpha=\"0.00\", expect_size=\"29756416\"] \n  37 [size=\"64002560\", alpha=\"0.02\", expect_size=\"25601024\"] \n  38 [size=\"101194240\", alpha=\"0.17\", expect_size=\"40477696\"] \n  39 [size=\"93291520\", alpha=\"0.05\", expect_size=\"37316608\"] \n  40 [size=\"129866240\", alpha=\"0.12\", expect_size=\"51946496\"] \n  41 [size=\"37227520\", alpha=\"0.16\", expect_size=\"14891008\"] \n  42 [size=\"44003840\", alpha=\"0.06\", expect_size=\"17601536\"] \n  43 [size=\"50357760\", alpha=\"0.19\", expect_size=\"20143104\"] \n  44 [size=\"64010240\", alpha=\"0.17\", expect_size=\"25604096\"] \n  45 [size=\"21726720\", alpha=\"0.02\", expect_size=\"8690688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27077120\", alpha=\"0.13\", expect_size=\"10830848\"] \n  1 -> 7 [size =\"10830848\"]\n  1 -> 8 [size =\"10830848\"]\n  1 -> 10 [size =\"10830848\"]\n  1 -> 11 [size =\"10830848\"]\n  2 [size=\"88926720\", alpha=\"0.04\", expect_size=\"35570688\"] \n  2 -> 7 [size =\"35570688\"]\n  2 -> 8 [size =\"35570688\"]\n  2 -> 9 [size =\"35570688\"]\n  2 -> 10 [size =\"35570688\"]\n  2 -> 11 [size =\"35570688\"]\n  3 [size=\"15979520\", alpha=\"0.04\", expect_size=\"6391808\"] \n  3 -> 9 [size =\"6391808\"]\n  3 -> 10 [size =\"6391808\"]\n  3 -> 11 [size =\"6391808\"]\n  4 [size=\"26713600\", alpha=\"0.09\", expect_size=\"10685440\"] \n  4 -> 7 [size =\"10685440\"]\n  4 -> 8 [size =\"10685440\"]\n  4 -> 9 [size =\"10685440\"]\n  5 [size=\"76101120\", alpha=\"0.09\", expect_size=\"30440448\"] \n  5 -> 7 [size =\"30440448\"]\n  5 -> 8 [size =\"30440448\"]\n  5 -> 9 [size =\"30440448\"]\n  5 -> 10 [size =\"30440448\"]\n  6 [size=\"82452480\", alpha=\"0.04\", expect_size=\"32980992\"] \n  6 -> 7 [size =\"32980992\"]\n  6 -> 8 [size =\"32980992\"]\n  6 -> 9 [size =\"32980992\"]\n  6 -> 10 [size =\"32980992\"]\n  6 -> 11 [size =\"32980992\"]\n  7 [size=\"107368960\", alpha=\"0.03\", expect_size=\"42947584\"] \n  7 -> 12 [size =\"42947584\"]\n  7 -> 13 [size =\"42947584\"]\n  7 -> 14 [size =\"42947584\"]\n  7 -> 15 [size =\"42947584\"]\n  7 -> 16 [size =\"42947584\"]\n  8 [size=\"20044800\", alpha=\"0.08\", expect_size=\"8017920\"] \n  8 -> 13 [size =\"8017920\"]\n  8 -> 13 [size =\"8017920\"]\n  8 -> 14 [size =\"8017920\"]\n  8 -> 15 [size =\"8017920\"]\n  9 [size=\"46010880\", alpha=\"0.10\", expect_size=\"18404352\"] \n  9 -> 12 [size =\"18404352\"]\n  9 -> 14 [size =\"18404352\"]\n  9 -> 15 [size =\"18404352\"]\n  9 -> 15 [size =\"18404352\"]\n  10 [size=\"15436800\", alpha=\"0.00\", expect_size=\"6174720\"] \n  10 -> 12 [size =\"6174720\"]\n  10 -> 13 [size =\"6174720\"]\n  11 [size=\"51591680\", alpha=\"0.08\", expect_size=\"20636672\"] \n  11 -> 12 [size =\"20636672\"]\n  11 -> 13 [size =\"20636672\"]\n  11 -> 14 [size =\"20636672\"]\n  11 -> 15 [size =\"20636672\"]\n  12 [size=\"125529600\", alpha=\"0.07\", expect_size=\"50211840\"] \n  12 -> 17 [size =\"50211840\"]\n  12 -> 18 [size =\"50211840\"]\n  12 -> 19 [size =\"50211840\"]\n  12 -> 21 [size =\"50211840\"]\n  13 [size=\"33308160\", alpha=\"0.04\", expect_size=\"13323264\"] \n  13 -> 17 [size =\"13323264\"]\n  13 -> 18 [size =\"13323264\"]\n  13 -> 21 [size =\"13323264\"]\n  14 [size=\"57349120\", alpha=\"0.06\", expect_size=\"22939648\"] \n  14 -> 17 [size =\"22939648\"]\n  14 -> 18 [size =\"22939648\"]\n  14 -> 21 [size =\"22939648\"]\n  15 [size=\"110392320\", alpha=\"0.07\", expect_size=\"44156928\"] \n  15 -> 18 [size =\"44156928\"]\n  15 -> 20 [size =\"44156928\"]\n  15 -> 21 [size =\"44156928\"]\n  16 [size=\"47462400\", alpha=\"0.16\", expect_size=\"18984960\"] \n  16 -> 18 [size =\"18984960\"]\n  16 -> 20 [size =\"18984960\"]\n  16 -> 21 [size =\"18984960\"]\n  17 [size=\"69959680\", alpha=\"0.16\", expect_size=\"27983872\"] \n  17 -> 24 [size =\"27983872\"]\n  17 -> 25 [size =\"27983872\"]\n  18 [size=\"89943040\", alpha=\"0.12\", expect_size=\"35977216\"] \n  18 -> 22 [size =\"35977216\"]\n  18 -> 24 [size =\"35977216\"]\n  18 -> 25 [size =\"35977216\"]\n  19 [size=\"20211200\", alpha=\"0.13\", expect_size=\"8084480\"] \n  19 -> 22 [size =\"8084480\"]\n  19 -> 25 [size =\"8084480\"]\n  20 [size=\"78694400\", alpha=\"0.14\", expect_size=\"31477760\"] \n  20 -> 22 [size =\"31477760\"]\n  20 -> 23 [size =\"31477760\"]\n  20 -> 24 [size =\"31477760\"]\n  21 [size=\"78883840\", alpha=\"0.18\", expect_size=\"31553536\"] \n  21 -> 23 [size =\"31553536\"]\n  21 -> 23 [size =\"31553536\"]\n  21 -> 26 [size =\"31553536\"]\n  22 [size=\"128875520\", alpha=\"0.14\", expect_size=\"51550208\"] \n  22 -> 27 [size =\"51550208\"]\n  22 -> 28 [size =\"51550208\"]\n  22 -> 30 [size =\"51550208\"]\n  22 -> 31 [size =\"51550208\"]\n  22 -> 32 [size =\"51550208\"]\n  23 [size=\"50321920\", alpha=\"0.11\", expect_size=\"20128768\"] \n  23 -> 27 [size =\"20128768\"]\n  23 -> 28 [size =\"20128768\"]\n  23 -> 29 [size =\"20128768\"]\n  23 -> 30 [size =\"20128768\"]\n  23 -> 31 [size =\"20128768\"]\n  24 [size=\"76044800\", alpha=\"0.10\", expect_size=\"30417920\"] \n  24 -> 27 [size =\"30417920\"]\n  24 -> 28 [size =\"30417920\"]\n  24 -> 30 [size =\"30417920\"]\n  24 -> 31 [size =\"30417920\"]\n  24 -> 31 [size =\"30417920\"]\n  25 [size=\"110389760\", alpha=\"0.19\", expect_size=\"44155904\"] \n  25 -> 27 [size =\"44155904\"]\n  25 -> 29 [size =\"44155904\"]\n  25 -> 32 [size =\"44155904\"]\n  26 [size=\"33410560\", alpha=\"0.01\", expect_size=\"13364224\"] \n  26 -> 27 [size =\"13364224\"]\n  26 -> 28 [size =\"13364224\"]\n  26 -> 29 [size =\"13364224\"]\n  26 -> 30 [size =\"13364224\"]\n  27 [size=\"129359360\", alpha=\"0.18\", expect_size=\"51743744\"] \n  27 -> 33 [size =\"51743744\"]\n  27 -> 34 [size =\"51743744\"]\n  27 -> 35 [size =\"51743744\"]\n  27 -> 37 [size =\"51743744\"]\n  28 [size=\"106160640\", alpha=\"0.17\", expect_size=\"42464256\"] \n  28 -> 33 [size =\"42464256\"]\n  28 -> 34 [size =\"42464256\"]\n  28 -> 35 [size =\"42464256\"]\n  29 [size=\"60838400\", alpha=\"0.01\", expect_size=\"24335360\"] \n  29 -> 33 [size =\"24335360\"]\n  29 -> 35 [size =\"24335360\"]\n  29 -> 37 [size =\"24335360\"]\n  30 [size=\"21032960\", alpha=\"0.06\", expect_size=\"8413184\"] \n  30 -> 33 [size =\"8413184\"]\n  30 -> 34 [size =\"8413184\"]\n  30 -> 36 [size =\"8413184\"]\n  31 [size=\"105126400\", alpha=\"0.17\", expect_size=\"42050560\"] \n  31 -> 33 [size =\"42050560\"]\n  31 -> 34 [size =\"42050560\"]\n  31 -> 36 [size =\"42050560\"]\n  32 [size=\"91161600\", alpha=\"0.07\", expect_size=\"36464640\"] \n  32 -> 33 [size =\"36464640\"]\n  32 -> 34 [size =\"36464640\"]\n  32 -> 36 [size =\"36464640\"]\n  33 [size=\"54963200\", alpha=\"0.01\", expect_size=\"21985280\"] \n  33 -> 38 [size =\"21985280\"]\n  33 -> 39 [size =\"21985280\"]\n  33 -> 40 [size =\"21985280\"]\n  33 -> 41 [size =\"21985280\"]\n  33 -> 42 [size =\"21985280\"]\n  33 -> 43 [size =\"21985280\"]\n  34 [size=\"117365760\", alpha=\"0.02\", expect_size=\"46946304\"] \n  34 -> 38 [size =\"46946304\"]\n  34 -> 39 [size =\"46946304\"]\n  34 -> 40 [size =\"46946304\"]\n  34 -> 41 [size =\"46946304\"]\n  35 [size=\"56053760\", alpha=\"0.19\", expect_size=\"22421504\"] \n  35 -> 42 [size =\"22421504\"]\n  35 -> 43 [size =\"22421504\"]\n  36 [size=\"51980800\", alpha=\"0.03\", expect_size=\"20792320\"] \n  36 -> 38 [size =\"20792320\"]\n  36 -> 40 [size =\"20792320\"]\n  36 -> 41 [size =\"20792320\"]\n  36 -> 42 [size =\"20792320\"]\n  37 [size=\"56529920\", alpha=\"0.16\", expect_size=\"22611968\"] \n  37 -> 38 [size =\"22611968\"]\n  37 -> 39 [size =\"22611968\"]\n  37 -> 42 [size =\"22611968\"]\n  37 -> 42 [size =\"22611968\"]\n  37 -> 43 [size =\"22611968\"]\n  38 [size=\"46000640\", alpha=\"0.02\", expect_size=\"18400256\"] \n  38 -> 44 [size =\"18400256\"]\n  39 [size=\"27333120\", alpha=\"0.09\", expect_size=\"10933248\"] \n  39 -> 44 [size =\"10933248\"]\n  39 -> 45 [size =\"10933248\"]\n  40 [size=\"33428480\", alpha=\"0.08\", expect_size=\"13371392\"] \n  40 -> 44 [size =\"13371392\"]\n  40 -> 45 [size =\"13371392\"]\n  41 [size=\"66618880\", alpha=\"0.17\", expect_size=\"26647552\"] \n  41 -> 44 [size =\"26647552\"]\n  41 -> 45 [size =\"26647552\"]\n  42 [size=\"47424000\", alpha=\"0.06\", expect_size=\"18969600\"] \n  42 -> 44 [size =\"18969600\"]\n  42 -> 45 [size =\"18969600\"]\n  43 [size=\"88266240\", alpha=\"0.02\", expect_size=\"35306496\"] \n  43 -> 44 [size =\"35306496\"]\n  43 -> 45 [size =\"35306496\"]\n  44 [size=\"91386880\", alpha=\"0.08\", expect_size=\"36554752\"] \n  45 [size=\"101025280\", alpha=\"0.11\", expect_size=\"40410112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157194240\", alpha=\"0.13\", expect_size=\"47158272\"] \n  1 -> 34 [size =\"47158272\"]\n  1 -> 35 [size =\"47158272\"]\n  1 -> 43 [size =\"47158272\"]\n  2 [size=\"151292587\", alpha=\"0.11\", expect_size=\"45387776\"] \n  2 -> 35 [size =\"45387776\"]\n  2 -> 39 [size =\"45387776\"]\n  2 -> 43 [size =\"45387776\"]\n  3 [size=\"101690027\", alpha=\"0.13\", expect_size=\"30507008\"] \n  3 -> 32 [size =\"30507008\"]\n  3 -> 33 [size =\"30507008\"]\n  3 -> 36 [size =\"30507008\"]\n  3 -> 39 [size =\"30507008\"]\n  3 -> 43 [size =\"30507008\"]\n  4 [size=\"102195200\", alpha=\"0.19\", expect_size=\"30658560\"] \n  4 -> 31 [size =\"30658560\"]\n  4 -> 32 [size =\"30658560\"]\n  4 -> 33 [size =\"30658560\"]\n  4 -> 36 [size =\"30658560\"]\n  4 -> 39 [size =\"30658560\"]\n  4 -> 42 [size =\"30658560\"]\n  4 -> 43 [size =\"30658560\"]\n  4 -> 45 [size =\"30658560\"]\n  5 [size=\"153470293\", alpha=\"0.19\", expect_size=\"46041088\"] \n  5 -> 31 [size =\"46041088\"]\n  5 -> 32 [size =\"46041088\"]\n  5 -> 33 [size =\"46041088\"]\n  5 -> 39 [size =\"46041088\"]\n  5 -> 41 [size =\"46041088\"]\n  5 -> 43 [size =\"46041088\"]\n  5 -> 45 [size =\"46041088\"]\n  6 [size=\"89002667\", alpha=\"0.10\", expect_size=\"26700800\"] \n  6 -> 31 [size =\"26700800\"]\n  6 -> 32 [size =\"26700800\"]\n  6 -> 33 [size =\"26700800\"]\n  6 -> 35 [size =\"26700800\"]\n  6 -> 41 [size =\"26700800\"]\n  6 -> 43 [size =\"26700800\"]\n  6 -> 45 [size =\"26700800\"]\n  7 [size=\"55200427\", alpha=\"0.14\", expect_size=\"16560128\"] \n  7 -> 30 [size =\"16560128\"]\n  7 -> 32 [size =\"16560128\"]\n  7 -> 33 [size =\"16560128\"]\n  7 -> 34 [size =\"16560128\"]\n  7 -> 41 [size =\"16560128\"]\n  7 -> 45 [size =\"16560128\"]\n  8 [size=\"85104640\", alpha=\"0.04\", expect_size=\"25531392\"] \n  8 -> 31 [size =\"25531392\"]\n  8 -> 33 [size =\"25531392\"]\n  8 -> 33 [size =\"25531392\"]\n  8 -> 34 [size =\"25531392\"]\n  8 -> 42 [size =\"25531392\"]\n  9 [size=\"43543893\", alpha=\"0.08\", expect_size=\"13063168\"] \n  9 -> 35 [size =\"13063168\"]\n  9 -> 39 [size =\"13063168\"]\n  9 -> 40 [size =\"13063168\"]\n  10 [size=\"133314560\", alpha=\"0.17\", expect_size=\"39994368\"] \n  10 -> 30 [size =\"39994368\"]\n  10 -> 33 [size =\"39994368\"]\n  10 -> 34 [size =\"39994368\"]\n  10 -> 43 [size =\"39994368\"]\n  11 [size=\"124757333\", alpha=\"0.05\", expect_size=\"37427200\"] \n  11 -> 30 [size =\"37427200\"]\n  11 -> 31 [size =\"37427200\"]\n  11 -> 32 [size =\"37427200\"]\n  11 -> 34 [size =\"37427200\"]\n  11 -> 37 [size =\"37427200\"]\n  11 -> 39 [size =\"37427200\"]\n  12 [size=\"72765440\", alpha=\"0.03\", expect_size=\"21829632\"] \n  12 -> 30 [size =\"21829632\"]\n  12 -> 33 [size =\"21829632\"]\n  12 -> 34 [size =\"21829632\"]\n  12 -> 35 [size =\"21829632\"]\n  12 -> 39 [size =\"21829632\"]\n  12 -> 43 [size =\"21829632\"]\n  13 [size=\"157849600\", alpha=\"0.08\", expect_size=\"47354880\"] \n  13 -> 30 [size =\"47354880\"]\n  13 -> 33 [size =\"47354880\"]\n  13 -> 35 [size =\"47354880\"]\n  13 -> 39 [size =\"47354880\"]\n  13 -> 43 [size =\"47354880\"]\n  14 [size=\"102778880\", alpha=\"0.18\", expect_size=\"30833664\"] \n  14 -> 31 [size =\"30833664\"]\n  14 -> 32 [size =\"30833664\"]\n  14 -> 33 [size =\"30833664\"]\n  14 -> 34 [size =\"30833664\"]\n  14 -> 39 [size =\"30833664\"]\n  14 -> 41 [size =\"30833664\"]\n  14 -> 42 [size =\"30833664\"]\n  15 [size=\"98399573\", alpha=\"0.11\", expect_size=\"29519872\"] \n  15 -> 33 [size =\"29519872\"]\n  15 -> 34 [size =\"29519872\"]\n  15 -> 37 [size =\"29519872\"]\n  15 -> 38 [size =\"29519872\"]\n  15 -> 41 [size =\"29519872\"]\n  15 -> 43 [size =\"29519872\"]\n  16 [size=\"89647787\", alpha=\"0.04\", expect_size=\"26894336\"] \n  16 -> 31 [size =\"26894336\"]\n  16 -> 32 [size =\"26894336\"]\n  16 -> 33 [size =\"26894336\"]\n  16 -> 39 [size =\"26894336\"]\n  16 -> 41 [size =\"26894336\"]\n  16 -> 42 [size =\"26894336\"]\n  16 -> 43 [size =\"26894336\"]\n  17 [size=\"170021547\", alpha=\"0.03\", expect_size=\"51006464\"] \n  17 -> 31 [size =\"51006464\"]\n  17 -> 41 [size =\"51006464\"]\n  17 -> 45 [size =\"51006464\"]\n  18 [size=\"120132267\", alpha=\"0.13\", expect_size=\"36039680\"] \n  18 -> 31 [size =\"36039680\"]\n  18 -> 33 [size =\"36039680\"]\n  18 -> 39 [size =\"36039680\"]\n  18 -> 41 [size =\"36039680\"]\n  18 -> 45 [size =\"36039680\"]\n  19 [size=\"155521707\", alpha=\"0.20\", expect_size=\"46656512\"] \n  19 -> 30 [size =\"46656512\"]\n  19 -> 38 [size =\"46656512\"]\n  19 -> 39 [size =\"46656512\"]\n  19 -> 41 [size =\"46656512\"]\n  19 -> 42 [size =\"46656512\"]\n  19 -> 43 [size =\"46656512\"]\n  20 [size=\"57733120\", alpha=\"0.12\", expect_size=\"17319936\"] \n  20 -> 32 [size =\"17319936\"]\n  20 -> 33 [size =\"17319936\"]\n  20 -> 34 [size =\"17319936\"]\n  20 -> 38 [size =\"17319936\"]\n  20 -> 42 [size =\"17319936\"]\n  21 [size=\"34631680\", alpha=\"0.02\", expect_size=\"10389504\"] \n  21 -> 32 [size =\"10389504\"]\n  21 -> 34 [size =\"10389504\"]\n  21 -> 38 [size =\"10389504\"]\n  21 -> 39 [size =\"10389504\"]\n  21 -> 43 [size =\"10389504\"]\n  22 [size=\"71782400\", alpha=\"0.08\", expect_size=\"21534720\"] \n  22 -> 31 [size =\"21534720\"]\n  22 -> 34 [size =\"21534720\"]\n  22 -> 37 [size =\"21534720\"]\n  22 -> 38 [size =\"21534720\"]\n  23 [size=\"97993387\", alpha=\"0.06\", expect_size=\"29398016\"] \n  23 -> 31 [size =\"29398016\"]\n  23 -> 34 [size =\"29398016\"]\n  23 -> 36 [size =\"29398016\"]\n  23 -> 37 [size =\"29398016\"]\n  23 -> 39 [size =\"29398016\"]\n  23 -> 45 [size =\"29398016\"]\n  24 [size=\"161187840\", alpha=\"0.14\", expect_size=\"48356352\"] \n  24 -> 30 [size =\"48356352\"]\n  24 -> 34 [size =\"48356352\"]\n  24 -> 36 [size =\"48356352\"]\n  24 -> 37 [size =\"48356352\"]\n  24 -> 38 [size =\"48356352\"]\n  24 -> 41 [size =\"48356352\"]\n  24 -> 43 [size =\"48356352\"]\n  25 [size=\"143295147\", alpha=\"0.20\", expect_size=\"42988544\"] \n  25 -> 30 [size =\"42988544\"]\n  25 -> 36 [size =\"42988544\"]\n  25 -> 36 [size =\"42988544\"]\n  25 -> 37 [size =\"42988544\"]\n  26 [size=\"72830293\", alpha=\"0.14\", expect_size=\"21849088\"] \n  26 -> 31 [size =\"21849088\"]\n  26 -> 32 [size =\"21849088\"]\n  27 [size=\"104328533\", alpha=\"0.14\", expect_size=\"31298560\"] \n  27 -> 31 [size =\"31298560\"]\n  27 -> 32 [size =\"31298560\"]\n  27 -> 33 [size =\"31298560\"]\n  27 -> 40 [size =\"31298560\"]\n  27 -> 43 [size =\"31298560\"]\n  27 -> 44 [size =\"31298560\"]\n  28 [size=\"128846507\", alpha=\"0.02\", expect_size=\"38653952\"] \n  28 -> 31 [size =\"38653952\"]\n  28 -> 43 [size =\"38653952\"]\n  28 -> 45 [size =\"38653952\"]\n  29 [size=\"72833707\", alpha=\"0.13\", expect_size=\"21850112\"] \n  29 -> 37 [size =\"21850112\"]\n  29 -> 40 [size =\"21850112\"]\n  29 -> 43 [size =\"21850112\"]\n  29 -> 45 [size =\"21850112\"]\n  30 [size=\"71587840\", alpha=\"0.19\", expect_size=\"21476352\"] \n  31 [size=\"164611413\", alpha=\"0.19\", expect_size=\"49383424\"] \n  32 [size=\"19770027\", alpha=\"0.06\", expect_size=\"5931008\"] \n  33 [size=\"85452800\", alpha=\"0.10\", expect_size=\"25635840\"] \n  34 [size=\"131300693\", alpha=\"0.06\", expect_size=\"39390208\"] \n  35 [size=\"84756480\", alpha=\"0.11\", expect_size=\"25426944\"] \n  36 [size=\"81810773\", alpha=\"0.06\", expect_size=\"24543232\"] \n  37 [size=\"36706987\", alpha=\"0.01\", expect_size=\"11012096\"] \n  38 [size=\"144459093\", alpha=\"0.08\", expect_size=\"43337728\"] \n  39 [size=\"158122667\", alpha=\"0.13\", expect_size=\"47436800\"] \n  40 [size=\"103768747\", alpha=\"0.03\", expect_size=\"31130624\"] \n  41 [size=\"97235627\", alpha=\"0.15\", expect_size=\"29170688\"] \n  42 [size=\"88521387\", alpha=\"0.14\", expect_size=\"26556416\"] \n  43 [size=\"132918613\", alpha=\"0.04\", expect_size=\"39875584\"] \n  44 [size=\"56221013\", alpha=\"0.11\", expect_size=\"16866304\"] \n  45 [size=\"101027840\", alpha=\"0.15\", expect_size=\"30308352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72826880\", alpha=\"0.02\", expect_size=\"29130752\"] \n  2 [size=\"89561600\", alpha=\"0.04\", expect_size=\"35824640\"] \n  2 -> 4 [size =\"35824640\"]\n  2 -> 5 [size =\"35824640\"]\n  3 [size=\"78474240\", alpha=\"0.02\", expect_size=\"31389696\"] \n  3 -> 4 [size =\"31389696\"]\n  3 -> 6 [size =\"31389696\"]\n  4 [size=\"36574720\", alpha=\"0.06\", expect_size=\"14629888\"] \n  5 [size=\"48719360\", alpha=\"0.18\", expect_size=\"19487744\"] \n  5 -> 7 [size =\"19487744\"]\n  6 [size=\"87408640\", alpha=\"0.07\", expect_size=\"34963456\"] \n  6 -> 7 [size =\"34963456\"]\n  6 -> 8 [size =\"34963456\"]\n  7 [size=\"50324480\", alpha=\"0.19\", expect_size=\"20129792\"] \n  7 -> 9 [size =\"20129792\"]\n  8 [size=\"100024320\", alpha=\"0.08\", expect_size=\"40009728\"] \n  8 -> 10 [size =\"40009728\"]\n  9 [size=\"35765760\", alpha=\"0.18\", expect_size=\"14306304\"] \n  9 -> 12 [size =\"14306304\"]\n  10 [size=\"60193280\", alpha=\"0.03\", expect_size=\"24077312\"] \n  10 -> 11 [size =\"24077312\"]\n  11 [size=\"29416960\", alpha=\"0.11\", expect_size=\"11766784\"] \n  11 -> 14 [size =\"11766784\"]\n  11 -> 15 [size =\"11766784\"]\n  12 [size=\"41507840\", alpha=\"0.10\", expect_size=\"16603136\"] \n  12 -> 13 [size =\"16603136\"]\n  12 -> 14 [size =\"16603136\"]\n  13 [size=\"67271680\", alpha=\"0.09\", expect_size=\"26908672\"] \n  13 -> 17 [size =\"26908672\"]\n  13 -> 18 [size =\"26908672\"]\n  14 [size=\"81623040\", alpha=\"0.03\", expect_size=\"32649216\"] \n  14 -> 16 [size =\"32649216\"]\n  14 -> 17 [size =\"32649216\"]\n  15 [size=\"118256640\", alpha=\"0.07\", expect_size=\"47302656\"] \n  15 -> 16 [size =\"47302656\"]\n  15 -> 18 [size =\"47302656\"]\n  16 [size=\"103918080\", alpha=\"0.19\", expect_size=\"41567232\"] \n  16 -> 19 [size =\"41567232\"]\n  16 -> 20 [size =\"41567232\"]\n  17 [size=\"25600000\", alpha=\"0.06\", expect_size=\"10240000\"] \n  17 -> 21 [size =\"10240000\"]\n  18 [size=\"17930240\", alpha=\"0.08\", expect_size=\"7172096\"] \n  18 -> 20 [size =\"7172096\"]\n  18 -> 21 [size =\"7172096\"]\n  19 [size=\"62702080\", alpha=\"0.09\", expect_size=\"25080832\"] \n  20 [size=\"50590720\", alpha=\"0.20\", expect_size=\"20236288\"] \n  20 -> 22 [size =\"20236288\"]\n  21 [size=\"68165120\", alpha=\"0.20\", expect_size=\"27266048\"] \n  21 -> 22 [size =\"27266048\"]\n  21 -> 23 [size =\"27266048\"]\n  22 [size=\"15191040\", alpha=\"0.13\", expect_size=\"6076416\"] \n  22 -> 25 [size =\"6076416\"]\n  22 -> 26 [size =\"6076416\"]\n  23 [size=\"76382720\", alpha=\"0.18\", expect_size=\"30553088\"] \n  23 -> 24 [size =\"30553088\"]\n  23 -> 25 [size =\"30553088\"]\n  23 -> 26 [size =\"30553088\"]\n  24 [size=\"129477120\", alpha=\"0.06\", expect_size=\"51790848\"] \n  24 -> 27 [size =\"51790848\"]\n  24 -> 28 [size =\"51790848\"]\n  25 [size=\"27194880\", alpha=\"0.00\", expect_size=\"10877952\"] \n  25 -> 28 [size =\"10877952\"]\n  26 [size=\"69222400\", alpha=\"0.07\", expect_size=\"27688960\"] \n  26 -> 27 [size =\"27688960\"]\n  27 [size=\"63982080\", alpha=\"0.01\", expect_size=\"25592832\"] \n  27 -> 29 [size =\"25592832\"]\n  27 -> 30 [size =\"25592832\"]\n  28 [size=\"97277440\", alpha=\"0.09\", expect_size=\"38910976\"] \n  29 [size=\"26373120\", alpha=\"0.01\", expect_size=\"10549248\"] \n  29 -> 32 [size =\"10549248\"]\n  29 -> 33 [size =\"10549248\"]\n  29 -> 34 [size =\"10549248\"]\n  30 [size=\"81082880\", alpha=\"0.01\", expect_size=\"32433152\"] \n  30 -> 31 [size =\"32433152\"]\n  31 [size=\"78223360\", alpha=\"0.03\", expect_size=\"31289344\"] \n  31 -> 35 [size =\"31289344\"]\n  31 -> 37 [size =\"31289344\"]\n  32 [size=\"77511680\", alpha=\"0.11\", expect_size=\"31004672\"] \n  32 -> 36 [size =\"31004672\"]\n  33 [size=\"37442560\", alpha=\"0.07\", expect_size=\"14977024\"] \n  33 -> 35 [size =\"14977024\"]\n  34 [size=\"23383040\", alpha=\"0.16\", expect_size=\"9353216\"] \n  35 [size=\"58803200\", alpha=\"0.02\", expect_size=\"23521280\"] \n  36 [size=\"61347840\", alpha=\"0.03\", expect_size=\"24539136\"] \n  36 -> 39 [size =\"24539136\"]\n  37 [size=\"105323520\", alpha=\"0.07\", expect_size=\"42129408\"] \n  37 -> 38 [size =\"42129408\"]\n  38 [size=\"109985280\", alpha=\"0.11\", expect_size=\"43994112\"] \n  38 -> 40 [size =\"43994112\"]\n  38 -> 41 [size =\"43994112\"]\n  39 [size=\"44285440\", alpha=\"0.04\", expect_size=\"17714176\"] \n  40 [size=\"48849920\", alpha=\"0.03\", expect_size=\"19539968\"] \n  40 -> 42 [size =\"19539968\"]\n  41 [size=\"52797440\", alpha=\"0.12\", expect_size=\"21118976\"] \n  41 -> 43 [size =\"21118976\"]\n  42 [size=\"72442880\", alpha=\"0.01\", expect_size=\"28977152\"] \n  43 [size=\"18224640\", alpha=\"0.00\", expect_size=\"7289856\"] \n  43 -> 44 [size =\"7289856\"]\n  43 -> 45 [size =\"7289856\"]\n  44 [size=\"62269440\", alpha=\"0.20\", expect_size=\"24907776\"] \n  45 [size=\"37168640\", alpha=\"0.02\", expect_size=\"14867456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"136516267\", alpha=\"0.14\", expect_size=\"40954880\"] \n  1 -> 5 [size =\"40954880\"]\n  1 -> 6 [size =\"40954880\"]\n  2 [size=\"54326613\", alpha=\"0.07\", expect_size=\"16297984\"] \n  2 -> 4 [size =\"16297984\"]\n  2 -> 5 [size =\"16297984\"]\n  2 -> 6 [size =\"16297984\"]\n  3 [size=\"87511040\", alpha=\"0.08\", expect_size=\"26253312\"] \n  3 -> 5 [size =\"26253312\"]\n  3 -> 6 [size =\"26253312\"]\n  4 [size=\"21067093\", alpha=\"0.17\", expect_size=\"6320128\"] \n  4 -> 7 [size =\"6320128\"]\n  4 -> 8 [size =\"6320128\"]\n  5 [size=\"82971307\", alpha=\"0.12\", expect_size=\"24891392\"] \n  5 -> 7 [size =\"24891392\"]\n  5 -> 8 [size =\"24891392\"]\n  6 [size=\"65665707\", alpha=\"0.12\", expect_size=\"19699712\"] \n  6 -> 7 [size =\"19699712\"]\n  6 -> 8 [size =\"19699712\"]\n  7 [size=\"116131840\", alpha=\"0.01\", expect_size=\"34839552\"] \n  7 -> 9 [size =\"34839552\"]\n  7 -> 10 [size =\"34839552\"]\n  8 [size=\"66314240\", alpha=\"0.00\", expect_size=\"19894272\"] \n  8 -> 10 [size =\"19894272\"]\n  9 [size=\"59521707\", alpha=\"0.05\", expect_size=\"17856512\"] \n  9 -> 11 [size =\"17856512\"]\n  9 -> 12 [size =\"17856512\"]\n  10 [size=\"156013227\", alpha=\"0.12\", expect_size=\"46803968\"] \n  10 -> 11 [size =\"46803968\"]\n  11 [size=\"93992960\", alpha=\"0.00\", expect_size=\"28197888\"] \n  11 -> 13 [size =\"28197888\"]\n  11 -> 14 [size =\"28197888\"]\n  11 -> 15 [size =\"28197888\"]\n  12 [size=\"49134933\", alpha=\"0.05\", expect_size=\"14740480\"] \n  12 -> 13 [size =\"14740480\"]\n  12 -> 14 [size =\"14740480\"]\n  12 -> 15 [size =\"14740480\"]\n  13 [size=\"105878187\", alpha=\"0.05\", expect_size=\"31763456\"] \n  13 -> 16 [size =\"31763456\"]\n  13 -> 17 [size =\"31763456\"]\n  14 [size=\"164864000\", alpha=\"0.06\", expect_size=\"49459200\"] \n  14 -> 17 [size =\"49459200\"]\n  15 [size=\"141315413\", alpha=\"0.07\", expect_size=\"42394624\"] \n  15 -> 16 [size =\"42394624\"]\n  15 -> 17 [size =\"42394624\"]\n  16 [size=\"79066453\", alpha=\"0.15\", expect_size=\"23719936\"] \n  16 -> 18 [size =\"23719936\"]\n  16 -> 19 [size =\"23719936\"]\n  16 -> 20 [size =\"23719936\"]\n  17 [size=\"18752853\", alpha=\"0.17\", expect_size=\"5625856\"] \n  17 -> 19 [size =\"5625856\"]\n  17 -> 20 [size =\"5625856\"]\n  18 [size=\"28388693\", alpha=\"0.09\", expect_size=\"8516608\"] \n  18 -> 21 [size =\"8516608\"]\n  18 -> 22 [size =\"8516608\"]\n  18 -> 23 [size =\"8516608\"]\n  19 [size=\"30747307\", alpha=\"0.16\", expect_size=\"9224192\"] \n  19 -> 22 [size =\"9224192\"]\n  19 -> 23 [size =\"9224192\"]\n  20 [size=\"71492267\", alpha=\"0.17\", expect_size=\"21447680\"] \n  20 -> 22 [size =\"21447680\"]\n  20 -> 23 [size =\"21447680\"]\n  21 [size=\"168587947\", alpha=\"0.13\", expect_size=\"50576384\"] \n  21 -> 25 [size =\"50576384\"]\n  21 -> 26 [size =\"50576384\"]\n  22 [size=\"168642560\", alpha=\"0.13\", expect_size=\"50592768\"] \n  22 -> 24 [size =\"50592768\"]\n  23 [size=\"49937067\", alpha=\"0.03\", expect_size=\"14981120\"] \n  23 -> 26 [size =\"14981120\"]\n  24 [size=\"88415573\", alpha=\"0.13\", expect_size=\"26524672\"] \n  24 -> 28 [size =\"26524672\"]\n  24 -> 29 [size =\"26524672\"]\n  25 [size=\"138383360\", alpha=\"0.11\", expect_size=\"41515008\"] \n  25 -> 28 [size =\"41515008\"]\n  25 -> 29 [size =\"41515008\"]\n  26 [size=\"33191253\", alpha=\"0.16\", expect_size=\"9957376\"] \n  26 -> 27 [size =\"9957376\"]\n  26 -> 28 [size =\"9957376\"]\n  26 -> 29 [size =\"9957376\"]\n  27 [size=\"154873173\", alpha=\"0.13\", expect_size=\"46461952\"] \n  27 -> 30 [size =\"46461952\"]\n  27 -> 31 [size =\"46461952\"]\n  27 -> 32 [size =\"46461952\"]\n  28 [size=\"129413120\", alpha=\"0.16\", expect_size=\"38823936\"] \n  28 -> 30 [size =\"38823936\"]\n  28 -> 31 [size =\"38823936\"]\n  28 -> 32 [size =\"38823936\"]\n  29 [size=\"39540053\", alpha=\"0.05\", expect_size=\"11862016\"] \n  29 -> 30 [size =\"11862016\"]\n  29 -> 32 [size =\"11862016\"]\n  30 [size=\"163898027\", alpha=\"0.11\", expect_size=\"49169408\"] \n  30 -> 33 [size =\"49169408\"]\n  30 -> 34 [size =\"49169408\"]\n  31 [size=\"137772373\", alpha=\"0.07\", expect_size=\"41331712\"] \n  31 -> 33 [size =\"41331712\"]\n  31 -> 34 [size =\"41331712\"]\n  32 [size=\"80209920\", alpha=\"0.07\", expect_size=\"24062976\"] \n  32 -> 33 [size =\"24062976\"]\n  33 [size=\"28061013\", alpha=\"0.18\", expect_size=\"8418304\"] \n  33 -> 35 [size =\"8418304\"]\n  33 -> 36 [size =\"8418304\"]\n  33 -> 37 [size =\"8418304\"]\n  34 [size=\"51363840\", alpha=\"0.08\", expect_size=\"15409152\"] \n  34 -> 35 [size =\"15409152\"]\n  34 -> 36 [size =\"15409152\"]\n  34 -> 37 [size =\"15409152\"]\n  35 [size=\"153712640\", alpha=\"0.14\", expect_size=\"46113792\"] \n  35 -> 38 [size =\"46113792\"]\n  35 -> 39 [size =\"46113792\"]\n  35 -> 40 [size =\"46113792\"]\n  36 [size=\"86026240\", alpha=\"0.07\", expect_size=\"25807872\"] \n  36 -> 38 [size =\"25807872\"]\n  36 -> 39 [size =\"25807872\"]\n  36 -> 40 [size =\"25807872\"]\n  37 [size=\"53790720\", alpha=\"0.01\", expect_size=\"16137216\"] \n  37 -> 38 [size =\"16137216\"]\n  37 -> 39 [size =\"16137216\"]\n  37 -> 40 [size =\"16137216\"]\n  38 [size=\"155654827\", alpha=\"0.16\", expect_size=\"46696448\"] \n  38 -> 41 [size =\"46696448\"]\n  39 [size=\"125890560\", alpha=\"0.13\", expect_size=\"37767168\"] \n  39 -> 41 [size =\"37767168\"]\n  39 -> 42 [size =\"37767168\"]\n  40 [size=\"163826347\", alpha=\"0.17\", expect_size=\"49147904\"] \n  40 -> 41 [size =\"49147904\"]\n  40 -> 42 [size =\"49147904\"]\n  41 [size=\"93433173\", alpha=\"0.20\", expect_size=\"28029952\"] \n  41 -> 43 [size =\"28029952\"]\n  41 -> 44 [size =\"28029952\"]\n  41 -> 45 [size =\"28029952\"]\n  42 [size=\"148514133\", alpha=\"0.02\", expect_size=\"44554240\"] \n  42 -> 45 [size =\"44554240\"]\n  43 [size=\"46158507\", alpha=\"0.08\", expect_size=\"13847552\"] \n  44 [size=\"32054613\", alpha=\"0.03\", expect_size=\"9616384\"] \n  45 [size=\"96300373\", alpha=\"0.14\", expect_size=\"28890112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100375040\", alpha=\"0.18\", expect_size=\"40150016\"] \n  1 -> 2 [size =\"40150016\"]\n  2 [size=\"74885120\", alpha=\"0.09\", expect_size=\"29954048\"] \n  2 -> 3 [size =\"29954048\"]\n  3 [size=\"60410880\", alpha=\"0.04\", expect_size=\"24164352\"] \n  3 -> 4 [size =\"24164352\"]\n  4 [size=\"23313920\", alpha=\"0.01\", expect_size=\"9325568\"] \n  4 -> 5 [size =\"9325568\"]\n  5 [size=\"75240960\", alpha=\"0.12\", expect_size=\"30096384\"] \n  5 -> 6 [size =\"30096384\"]\n  6 [size=\"80168960\", alpha=\"0.02\", expect_size=\"32067584\"] \n  6 -> 7 [size =\"32067584\"]\n  7 [size=\"110584320\", alpha=\"0.05\", expect_size=\"44233728\"] \n  7 -> 8 [size =\"44233728\"]\n  8 [size=\"104320000\", alpha=\"0.02\", expect_size=\"41728000\"] \n  8 -> 9 [size =\"41728000\"]\n  9 [size=\"71360000\", alpha=\"0.11\", expect_size=\"28544000\"] \n  9 -> 10 [size =\"28544000\"]\n  10 [size=\"94602240\", alpha=\"0.01\", expect_size=\"37840896\"] \n  10 -> 11 [size =\"37840896\"]\n  11 [size=\"25620480\", alpha=\"0.07\", expect_size=\"10248192\"] \n  11 -> 12 [size =\"10248192\"]\n  12 [size=\"130119680\", alpha=\"0.18\", expect_size=\"52047872\"] \n  12 -> 13 [size =\"52047872\"]\n  13 [size=\"62497280\", alpha=\"0.07\", expect_size=\"24998912\"] \n  13 -> 14 [size =\"24998912\"]\n  14 [size=\"85678080\", alpha=\"0.14\", expect_size=\"34271232\"] \n  14 -> 15 [size =\"34271232\"]\n  15 [size=\"89756160\", alpha=\"0.11\", expect_size=\"35902464\"] \n  15 -> 16 [size =\"35902464\"]\n  16 [size=\"39695360\", alpha=\"0.03\", expect_size=\"15878144\"] \n  16 -> 17 [size =\"15878144\"]\n  17 [size=\"50178560\", alpha=\"0.01\", expect_size=\"20071424\"] \n  17 -> 18 [size =\"20071424\"]\n  18 [size=\"80409600\", alpha=\"0.15\", expect_size=\"32163840\"] \n  18 -> 19 [size =\"32163840\"]\n  19 [size=\"91310080\", alpha=\"0.10\", expect_size=\"36524032\"] \n  19 -> 20 [size =\"36524032\"]\n  20 [size=\"38673920\", alpha=\"0.05\", expect_size=\"15469568\"] \n  20 -> 21 [size =\"15469568\"]\n  21 [size=\"46256640\", alpha=\"0.16\", expect_size=\"18502656\"] \n  21 -> 22 [size =\"18502656\"]\n  22 [size=\"88130560\", alpha=\"0.17\", expect_size=\"35252224\"] \n  22 -> 23 [size =\"35252224\"]\n  23 [size=\"78464000\", alpha=\"0.06\", expect_size=\"31385600\"] \n  23 -> 24 [size =\"31385600\"]\n  24 [size=\"118300160\", alpha=\"0.16\", expect_size=\"47320064\"] \n  24 -> 25 [size =\"47320064\"]\n  25 [size=\"85176320\", alpha=\"0.18\", expect_size=\"34070528\"] \n  25 -> 26 [size =\"34070528\"]\n  26 [size=\"34222080\", alpha=\"0.10\", expect_size=\"13688832\"] \n  26 -> 27 [size =\"13688832\"]\n  27 [size=\"53770240\", alpha=\"0.19\", expect_size=\"21508096\"] \n  27 -> 28 [size =\"21508096\"]\n  28 [size=\"59197440\", alpha=\"0.04\", expect_size=\"23678976\"] \n  28 -> 29 [size =\"23678976\"]\n  29 [size=\"32322560\", alpha=\"0.19\", expect_size=\"12929024\"] \n  29 -> 30 [size =\"12929024\"]\n  30 [size=\"89003520\", alpha=\"0.07\", expect_size=\"35601408\"] \n  30 -> 31 [size =\"35601408\"]\n  31 [size=\"120299520\", alpha=\"0.17\", expect_size=\"48119808\"] \n  31 -> 32 [size =\"48119808\"]\n  32 [size=\"95513600\", alpha=\"0.08\", expect_size=\"38205440\"] \n  32 -> 33 [size =\"38205440\"]\n  33 [size=\"76426240\", alpha=\"0.06\", expect_size=\"30570496\"] \n  33 -> 34 [size =\"30570496\"]\n  34 [size=\"110343680\", alpha=\"0.17\", expect_size=\"44137472\"] \n  34 -> 35 [size =\"44137472\"]\n  35 [size=\"89505280\", alpha=\"0.01\", expect_size=\"35802112\"] \n  35 -> 36 [size =\"35802112\"]\n  36 [size=\"76049920\", alpha=\"0.10\", expect_size=\"30419968\"] \n  36 -> 37 [size =\"30419968\"]\n  37 [size=\"19074560\", alpha=\"0.04\", expect_size=\"7629824\"] \n  37 -> 38 [size =\"7629824\"]\n  38 [size=\"16058880\", alpha=\"0.10\", expect_size=\"6423552\"] \n  38 -> 39 [size =\"6423552\"]\n  39 [size=\"40250880\", alpha=\"0.10\", expect_size=\"16100352\"] \n  39 -> 40 [size =\"16100352\"]\n  40 [size=\"31941120\", alpha=\"0.14\", expect_size=\"12776448\"] \n  40 -> 41 [size =\"12776448\"]\n  41 [size=\"72627200\", alpha=\"0.03\", expect_size=\"29050880\"] \n  41 -> 42 [size =\"29050880\"]\n  42 [size=\"56855040\", alpha=\"0.05\", expect_size=\"22742016\"] \n  42 -> 43 [size =\"22742016\"]\n  43 [size=\"101642240\", alpha=\"0.18\", expect_size=\"40656896\"] \n  43 -> 44 [size =\"40656896\"]\n  44 [size=\"20446720\", alpha=\"0.09\", expect_size=\"8178688\"] \n  44 -> 45 [size =\"8178688\"]\n  45 [size=\"121768960\", alpha=\"0.12\", expect_size=\"48707584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26931200\", alpha=\"0.18\", expect_size=\"8079360\"] \n  1 -> 16 [size =\"8079360\"]\n  1 -> 17 [size =\"8079360\"]\n  1 -> 18 [size =\"8079360\"]\n  1 -> 19 [size =\"8079360\"]\n  1 -> 20 [size =\"8079360\"]\n  1 -> 21 [size =\"8079360\"]\n  1 -> 23 [size =\"8079360\"]\n  1 -> 25 [size =\"8079360\"]\n  2 [size=\"153862827\", alpha=\"0.16\", expect_size=\"46158848\"] \n  2 -> 14 [size =\"46158848\"]\n  2 -> 17 [size =\"46158848\"]\n  2 -> 19 [size =\"46158848\"]\n  2 -> 19 [size =\"46158848\"]\n  2 -> 21 [size =\"46158848\"]\n  2 -> 21 [size =\"46158848\"]\n  2 -> 25 [size =\"46158848\"]\n  3 [size=\"95979520\", alpha=\"0.07\", expect_size=\"28793856\"] \n  3 -> 16 [size =\"28793856\"]\n  3 -> 17 [size =\"28793856\"]\n  3 -> 18 [size =\"28793856\"]\n  3 -> 19 [size =\"28793856\"]\n  3 -> 20 [size =\"28793856\"]\n  3 -> 24 [size =\"28793856\"]\n  3 -> 25 [size =\"28793856\"]\n  4 [size=\"147374080\", alpha=\"0.14\", expect_size=\"44212224\"] \n  4 -> 16 [size =\"44212224\"]\n  4 -> 17 [size =\"44212224\"]\n  4 -> 18 [size =\"44212224\"]\n  4 -> 19 [size =\"44212224\"]\n  4 -> 20 [size =\"44212224\"]\n  4 -> 21 [size =\"44212224\"]\n  4 -> 22 [size =\"44212224\"]\n  4 -> 25 [size =\"44212224\"]\n  5 [size=\"149340160\", alpha=\"0.03\", expect_size=\"44802048\"] \n  5 -> 14 [size =\"44802048\"]\n  5 -> 16 [size =\"44802048\"]\n  5 -> 17 [size =\"44802048\"]\n  5 -> 18 [size =\"44802048\"]\n  5 -> 25 [size =\"44802048\"]\n  6 [size=\"75612160\", alpha=\"0.19\", expect_size=\"22683648\"] \n  6 -> 14 [size =\"22683648\"]\n  6 -> 16 [size =\"22683648\"]\n  6 -> 20 [size =\"22683648\"]\n  6 -> 21 [size =\"22683648\"]\n  6 -> 23 [size =\"22683648\"]\n  6 -> 24 [size =\"22683648\"]\n  7 [size=\"45922987\", alpha=\"0.09\", expect_size=\"13776896\"] \n  7 -> 16 [size =\"13776896\"]\n  7 -> 18 [size =\"13776896\"]\n  7 -> 20 [size =\"13776896\"]\n  7 -> 25 [size =\"13776896\"]\n  8 [size=\"65088853\", alpha=\"0.07\", expect_size=\"19526656\"] \n  8 -> 16 [size =\"19526656\"]\n  8 -> 18 [size =\"19526656\"]\n  9 [size=\"54084267\", alpha=\"0.20\", expect_size=\"16225280\"] \n  9 -> 18 [size =\"16225280\"]\n  10 [size=\"83896320\", alpha=\"0.13\", expect_size=\"25168896\"] \n  10 -> 15 [size =\"25168896\"]\n  10 -> 18 [size =\"25168896\"]\n  11 [size=\"130324480\", alpha=\"0.03\", expect_size=\"39097344\"] \n  11 -> 17 [size =\"39097344\"]\n  11 -> 18 [size =\"39097344\"]\n  11 -> 23 [size =\"39097344\"]\n  11 -> 24 [size =\"39097344\"]\n  11 -> 25 [size =\"39097344\"]\n  12 [size=\"113291947\", alpha=\"0.18\", expect_size=\"33987584\"] \n  12 -> 15 [size =\"33987584\"]\n  12 -> 17 [size =\"33987584\"]\n  12 -> 19 [size =\"33987584\"]\n  12 -> 21 [size =\"33987584\"]\n  12 -> 24 [size =\"33987584\"]\n  12 -> 25 [size =\"33987584\"]\n  13 [size=\"81182720\", alpha=\"0.06\", expect_size=\"24354816\"] \n  13 -> 15 [size =\"24354816\"]\n  13 -> 17 [size =\"24354816\"]\n  13 -> 19 [size =\"24354816\"]\n  13 -> 23 [size =\"24354816\"]\n  13 -> 24 [size =\"24354816\"]\n  14 [size=\"136762027\", alpha=\"0.09\", expect_size=\"41028608\"] \n  14 -> 26 [size =\"41028608\"]\n  14 -> 28 [size =\"41028608\"]\n  14 -> 29 [size =\"41028608\"]\n  14 -> 30 [size =\"41028608\"]\n  14 -> 33 [size =\"41028608\"]\n  14 -> 38 [size =\"41028608\"]\n  15 [size=\"89842347\", alpha=\"0.06\", expect_size=\"26952704\"] \n  15 -> 28 [size =\"26952704\"]\n  15 -> 29 [size =\"26952704\"]\n  15 -> 30 [size =\"26952704\"]\n  15 -> 33 [size =\"26952704\"]\n  15 -> 38 [size =\"26952704\"]\n  16 [size=\"115302400\", alpha=\"0.06\", expect_size=\"34590720\"] \n  16 -> 26 [size =\"34590720\"]\n  16 -> 28 [size =\"34590720\"]\n  16 -> 31 [size =\"34590720\"]\n  16 -> 33 [size =\"34590720\"]\n  16 -> 38 [size =\"34590720\"]\n  17 [size=\"110448640\", alpha=\"0.15\", expect_size=\"33134592\"] \n  17 -> 26 [size =\"33134592\"]\n  17 -> 29 [size =\"33134592\"]\n  18 [size=\"20244480\", alpha=\"0.13\", expect_size=\"6073344\"] \n  18 -> 27 [size =\"6073344\"]\n  18 -> 33 [size =\"6073344\"]\n  18 -> 34 [size =\"6073344\"]\n  18 -> 35 [size =\"6073344\"]\n  18 -> 36 [size =\"6073344\"]\n  18 -> 39 [size =\"6073344\"]\n  19 [size=\"77748907\", alpha=\"0.06\", expect_size=\"23324672\"] \n  19 -> 28 [size =\"23324672\"]\n  19 -> 29 [size =\"23324672\"]\n  20 [size=\"76212907\", alpha=\"0.01\", expect_size=\"22863872\"] \n  20 -> 29 [size =\"22863872\"]\n  20 -> 33 [size =\"22863872\"]\n  20 -> 36 [size =\"22863872\"]\n  20 -> 37 [size =\"22863872\"]\n  20 -> 38 [size =\"22863872\"]\n  21 [size=\"18353493\", alpha=\"0.17\", expect_size=\"5506048\"] \n  21 -> 26 [size =\"5506048\"]\n  21 -> 28 [size =\"5506048\"]\n  21 -> 29 [size =\"5506048\"]\n  21 -> 31 [size =\"5506048\"]\n  21 -> 32 [size =\"5506048\"]\n  21 -> 33 [size =\"5506048\"]\n  21 -> 37 [size =\"5506048\"]\n  21 -> 39 [size =\"5506048\"]\n  22 [size=\"40434347\", alpha=\"0.10\", expect_size=\"12130304\"] \n  22 -> 28 [size =\"12130304\"]\n  22 -> 31 [size =\"12130304\"]\n  22 -> 32 [size =\"12130304\"]\n  22 -> 33 [size =\"12130304\"]\n  22 -> 34 [size =\"12130304\"]\n  22 -> 37 [size =\"12130304\"]\n  22 -> 37 [size =\"12130304\"]\n  22 -> 38 [size =\"12130304\"]\n  22 -> 39 [size =\"12130304\"]\n  23 [size=\"23432533\", alpha=\"0.13\", expect_size=\"7029760\"] \n  23 -> 28 [size =\"7029760\"]\n  23 -> 29 [size =\"7029760\"]\n  23 -> 31 [size =\"7029760\"]\n  23 -> 35 [size =\"7029760\"]\n  24 [size=\"73028267\", alpha=\"0.13\", expect_size=\"21908480\"] \n  24 -> 26 [size =\"21908480\"]\n  24 -> 29 [size =\"21908480\"]\n  24 -> 30 [size =\"21908480\"]\n  24 -> 31 [size =\"21908480\"]\n  24 -> 33 [size =\"21908480\"]\n  24 -> 34 [size =\"21908480\"]\n  24 -> 35 [size =\"21908480\"]\n  24 -> 37 [size =\"21908480\"]\n  24 -> 38 [size =\"21908480\"]\n  24 -> 39 [size =\"21908480\"]\n  25 [size=\"146681173\", alpha=\"0.09\", expect_size=\"44004352\"] \n  25 -> 26 [size =\"44004352\"]\n  25 -> 28 [size =\"44004352\"]\n  25 -> 30 [size =\"44004352\"]\n  25 -> 32 [size =\"44004352\"]\n  25 -> 33 [size =\"44004352\"]\n  25 -> 35 [size =\"44004352\"]\n  25 -> 35 [size =\"44004352\"]\n  25 -> 38 [size =\"44004352\"]\n  26 [size=\"34778453\", alpha=\"0.13\", expect_size=\"10433536\"] \n  26 -> 41 [size =\"10433536\"]\n  26 -> 42 [size =\"10433536\"]\n  26 -> 45 [size =\"10433536\"]\n  27 [size=\"85108053\", alpha=\"0.00\", expect_size=\"25532416\"] \n  27 -> 42 [size =\"25532416\"]\n  27 -> 43 [size =\"25532416\"]\n  28 [size=\"47213227\", alpha=\"0.14\", expect_size=\"14163968\"] \n  28 -> 42 [size =\"14163968\"]\n  29 [size=\"146647040\", alpha=\"0.12\", expect_size=\"43994112\"] \n  29 -> 42 [size =\"43994112\"]\n  29 -> 43 [size =\"43994112\"]\n  29 -> 45 [size =\"43994112\"]\n  30 [size=\"39287467\", alpha=\"0.19\", expect_size=\"11786240\"] \n  31 [size=\"46776320\", alpha=\"0.19\", expect_size=\"14032896\"] \n  31 -> 41 [size =\"14032896\"]\n  31 -> 43 [size =\"14032896\"]\n  32 [size=\"21285547\", alpha=\"0.13\", expect_size=\"6385664\"] \n  32 -> 41 [size =\"6385664\"]\n  32 -> 45 [size =\"6385664\"]\n  33 [size=\"99198293\", alpha=\"0.14\", expect_size=\"29759488\"] \n  33 -> 42 [size =\"29759488\"]\n  33 -> 43 [size =\"29759488\"]\n  34 [size=\"44455253\", alpha=\"0.10\", expect_size=\"13336576\"] \n  35 [size=\"144233813\", alpha=\"0.16\", expect_size=\"43270144\"] \n  35 -> 44 [size =\"43270144\"]\n  35 -> 45 [size =\"43270144\"]\n  36 [size=\"58542080\", alpha=\"0.14\", expect_size=\"17562624\"] \n  36 -> 40 [size =\"17562624\"]\n  36 -> 43 [size =\"17562624\"]\n  37 [size=\"160092160\", alpha=\"0.04\", expect_size=\"48027648\"] \n  37 -> 40 [size =\"48027648\"]\n  37 -> 42 [size =\"48027648\"]\n  37 -> 43 [size =\"48027648\"]\n  38 [size=\"162757973\", alpha=\"0.14\", expect_size=\"48827392\"] \n  39 [size=\"114155520\", alpha=\"0.12\", expect_size=\"34246656\"] \n  39 -> 40 [size =\"34246656\"]\n  39 -> 43 [size =\"34246656\"]\n  40 [size=\"50892800\", alpha=\"0.17\", expect_size=\"15267840\"] \n  41 [size=\"39396693\", alpha=\"0.02\", expect_size=\"11819008\"] \n  42 [size=\"35225600\", alpha=\"0.11\", expect_size=\"10567680\"] \n  43 [size=\"134202027\", alpha=\"0.20\", expect_size=\"40260608\"] \n  44 [size=\"85459627\", alpha=\"0.16\", expect_size=\"25637888\"] \n  45 [size=\"165573973\", alpha=\"0.09\", expect_size=\"49672192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25606827\", alpha=\"0.17\", expect_size=\"7682048\"] \n  1 -> 40 [size =\"7682048\"]\n  1 -> 41 [size =\"7682048\"]\n  1 -> 42 [size =\"7682048\"]\n  1 -> 44 [size =\"7682048\"]\n  1 -> 45 [size =\"7682048\"]\n  2 [size=\"44660053\", alpha=\"0.05\", expect_size=\"13398016\"] \n  2 -> 41 [size =\"13398016\"]\n  2 -> 42 [size =\"13398016\"]\n  3 [size=\"44284587\", alpha=\"0.01\", expect_size=\"13285376\"] \n  3 -> 42 [size =\"13285376\"]\n  4 [size=\"160918187\", alpha=\"0.10\", expect_size=\"48275456\"] \n  4 -> 42 [size =\"48275456\"]\n  4 -> 43 [size =\"48275456\"]\n  5 [size=\"116739413\", alpha=\"0.08\", expect_size=\"35021824\"] \n  5 -> 41 [size =\"35021824\"]\n  5 -> 42 [size =\"35021824\"]\n  5 -> 43 [size =\"35021824\"]\n  5 -> 45 [size =\"35021824\"]\n  6 [size=\"35884373\", alpha=\"0.17\", expect_size=\"10765312\"] \n  6 -> 39 [size =\"10765312\"]\n  6 -> 45 [size =\"10765312\"]\n  7 [size=\"135942827\", alpha=\"0.16\", expect_size=\"40782848\"] \n  7 -> 39 [size =\"40782848\"]\n  7 -> 43 [size =\"40782848\"]\n  8 [size=\"105229653\", alpha=\"0.15\", expect_size=\"31568896\"] \n  8 -> 44 [size =\"31568896\"]\n  9 [size=\"18885973\", alpha=\"0.00\", expect_size=\"5665792\"] \n  9 -> 39 [size =\"5665792\"]\n  10 [size=\"38642347\", alpha=\"0.16\", expect_size=\"11592704\"] \n  10 -> 39 [size =\"11592704\"]\n  10 -> 40 [size =\"11592704\"]\n  10 -> 42 [size =\"11592704\"]\n  10 -> 43 [size =\"11592704\"]\n  11 [size=\"83582293\", alpha=\"0.11\", expect_size=\"25074688\"] \n  11 -> 43 [size =\"25074688\"]\n  12 [size=\"62208000\", alpha=\"0.00\", expect_size=\"18662400\"] \n  12 -> 43 [size =\"18662400\"]\n  13 [size=\"102249813\", alpha=\"0.12\", expect_size=\"30674944\"] \n  13 -> 41 [size =\"30674944\"]\n  14 [size=\"107038720\", alpha=\"0.03\", expect_size=\"32111616\"] \n  14 -> 39 [size =\"32111616\"]\n  14 -> 41 [size =\"32111616\"]\n  14 -> 43 [size =\"32111616\"]\n  14 -> 44 [size =\"32111616\"]\n  15 [size=\"26006187\", alpha=\"0.05\", expect_size=\"7801856\"] \n  15 -> 40 [size =\"7801856\"]\n  15 -> 41 [size =\"7801856\"]\n  16 [size=\"86988800\", alpha=\"0.09\", expect_size=\"26096640\"] \n  16 -> 39 [size =\"26096640\"]\n  16 -> 40 [size =\"26096640\"]\n  17 [size=\"65085440\", alpha=\"0.17\", expect_size=\"19525632\"] \n  17 -> 39 [size =\"19525632\"]\n  17 -> 41 [size =\"19525632\"]\n  17 -> 42 [size =\"19525632\"]\n  17 -> 43 [size =\"19525632\"]\n  18 [size=\"33041067\", alpha=\"0.10\", expect_size=\"9912320\"] \n  18 -> 39 [size =\"9912320\"]\n  18 -> 41 [size =\"9912320\"]\n  18 -> 42 [size =\"9912320\"]\n  19 [size=\"150879573\", alpha=\"0.09\", expect_size=\"45263872\"] \n  19 -> 44 [size =\"45263872\"]\n  20 [size=\"154152960\", alpha=\"0.16\", expect_size=\"46245888\"] \n  20 -> 41 [size =\"46245888\"]\n  20 -> 43 [size =\"46245888\"]\n  20 -> 44 [size =\"46245888\"]\n  20 -> 45 [size =\"46245888\"]\n  21 [size=\"120767147\", alpha=\"0.04\", expect_size=\"36230144\"] \n  21 -> 41 [size =\"36230144\"]\n  21 -> 43 [size =\"36230144\"]\n  22 [size=\"49343147\", alpha=\"0.16\", expect_size=\"14802944\"] \n  22 -> 39 [size =\"14802944\"]\n  22 -> 40 [size =\"14802944\"]\n  22 -> 41 [size =\"14802944\"]\n  22 -> 44 [size =\"14802944\"]\n  23 [size=\"53090987\", alpha=\"0.10\", expect_size=\"15927296\"] \n  23 -> 39 [size =\"15927296\"]\n  23 -> 41 [size =\"15927296\"]\n  24 [size=\"143923200\", alpha=\"0.04\", expect_size=\"43176960\"] \n  24 -> 44 [size =\"43176960\"]\n  25 [size=\"165826560\", alpha=\"0.09\", expect_size=\"49747968\"] \n  25 -> 39 [size =\"49747968\"]\n  25 -> 42 [size =\"49747968\"]\n  26 [size=\"43953493\", alpha=\"0.17\", expect_size=\"13186048\"] \n  26 -> 39 [size =\"13186048\"]\n  27 [size=\"118353920\", alpha=\"0.01\", expect_size=\"35506176\"] \n  27 -> 40 [size =\"35506176\"]\n  27 -> 42 [size =\"35506176\"]\n  27 -> 44 [size =\"35506176\"]\n  28 [size=\"96716800\", alpha=\"0.15\", expect_size=\"29015040\"] \n  28 -> 39 [size =\"29015040\"]\n  28 -> 42 [size =\"29015040\"]\n  29 [size=\"173253973\", alpha=\"0.09\", expect_size=\"51976192\"] \n  29 -> 44 [size =\"51976192\"]\n  30 [size=\"86603093\", alpha=\"0.07\", expect_size=\"25980928\"] \n  30 -> 39 [size =\"25980928\"]\n  30 -> 40 [size =\"25980928\"]\n  30 -> 41 [size =\"25980928\"]\n  30 -> 45 [size =\"25980928\"]\n  31 [size=\"55063893\", alpha=\"0.12\", expect_size=\"16519168\"] \n  31 -> 39 [size =\"16519168\"]\n  31 -> 41 [size =\"16519168\"]\n  32 [size=\"86766933\", alpha=\"0.04\", expect_size=\"26030080\"] \n  32 -> 41 [size =\"26030080\"]\n  32 -> 43 [size =\"26030080\"]\n  32 -> 44 [size =\"26030080\"]\n  33 [size=\"51606187\", alpha=\"0.06\", expect_size=\"15481856\"] \n  33 -> 44 [size =\"15481856\"]\n  34 [size=\"133683200\", alpha=\"0.19\", expect_size=\"40104960\"] \n  34 -> 44 [size =\"40104960\"]\n  35 [size=\"161863680\", alpha=\"0.14\", expect_size=\"48559104\"] \n  35 -> 39 [size =\"48559104\"]\n  35 -> 40 [size =\"48559104\"]\n  35 -> 44 [size =\"48559104\"]\n  36 [size=\"78131200\", alpha=\"0.17\", expect_size=\"23439360\"] \n  36 -> 40 [size =\"23439360\"]\n  36 -> 44 [size =\"23439360\"]\n  37 [size=\"58173440\", alpha=\"0.07\", expect_size=\"17452032\"] \n  37 -> 41 [size =\"17452032\"]\n  37 -> 42 [size =\"17452032\"]\n  37 -> 43 [size =\"17452032\"]\n  37 -> 44 [size =\"17452032\"]\n  38 [size=\"63180800\", alpha=\"0.18\", expect_size=\"18954240\"] \n  38 -> 40 [size =\"18954240\"]\n  38 -> 41 [size =\"18954240\"]\n  38 -> 42 [size =\"18954240\"]\n  38 -> 44 [size =\"18954240\"]\n  39 [size=\"23620267\", alpha=\"0.06\", expect_size=\"7086080\"] \n  40 [size=\"98187947\", alpha=\"0.12\", expect_size=\"29456384\"] \n  41 [size=\"150770347\", alpha=\"0.11\", expect_size=\"45231104\"] \n  42 [size=\"90183680\", alpha=\"0.14\", expect_size=\"27055104\"] \n  43 [size=\"118456320\", alpha=\"0.01\", expect_size=\"35536896\"] \n  44 [size=\"163068587\", alpha=\"0.05\", expect_size=\"48920576\"] \n  45 [size=\"156296533\", alpha=\"0.07\", expect_size=\"46888960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67345920\", alpha=\"0.06\", expect_size=\"26938368\"] \n  1 -> 2 [size =\"26938368\"]\n  2 [size=\"24908800\", alpha=\"0.20\", expect_size=\"9963520\"] \n  2 -> 3 [size =\"9963520\"]\n  3 [size=\"71101440\", alpha=\"0.04\", expect_size=\"28440576\"] \n  3 -> 4 [size =\"28440576\"]\n  4 [size=\"46635520\", alpha=\"0.18\", expect_size=\"18654208\"] \n  4 -> 5 [size =\"18654208\"]\n  5 [size=\"37140480\", alpha=\"0.12\", expect_size=\"14856192\"] \n  5 -> 6 [size =\"14856192\"]\n  6 [size=\"66821120\", alpha=\"0.05\", expect_size=\"26728448\"] \n  6 -> 7 [size =\"26728448\"]\n  7 [size=\"50478080\", alpha=\"0.17\", expect_size=\"20191232\"] \n  7 -> 8 [size =\"20191232\"]\n  8 [size=\"61253120\", alpha=\"0.02\", expect_size=\"24501248\"] \n  8 -> 9 [size =\"24501248\"]\n  9 [size=\"112360960\", alpha=\"0.02\", expect_size=\"44944384\"] \n  9 -> 10 [size =\"44944384\"]\n  10 [size=\"109941760\", alpha=\"0.09\", expect_size=\"43976704\"] \n  10 -> 11 [size =\"43976704\"]\n  11 [size=\"117511680\", alpha=\"0.17\", expect_size=\"47004672\"] \n  11 -> 12 [size =\"47004672\"]\n  12 [size=\"36216320\", alpha=\"0.06\", expect_size=\"14486528\"] \n  12 -> 13 [size =\"14486528\"]\n  13 [size=\"35074560\", alpha=\"0.16\", expect_size=\"14029824\"] \n  13 -> 14 [size =\"14029824\"]\n  14 [size=\"57064960\", alpha=\"0.07\", expect_size=\"22825984\"] \n  14 -> 15 [size =\"22825984\"]\n  15 [size=\"43791360\", alpha=\"0.05\", expect_size=\"17516544\"] \n  15 -> 16 [size =\"17516544\"]\n  16 [size=\"112849920\", alpha=\"0.15\", expect_size=\"45139968\"] \n  16 -> 17 [size =\"45139968\"]\n  17 [size=\"26206720\", alpha=\"0.09\", expect_size=\"10482688\"] \n  17 -> 18 [size =\"10482688\"]\n  18 [size=\"125560320\", alpha=\"0.19\", expect_size=\"50224128\"] \n  18 -> 19 [size =\"50224128\"]\n  19 [size=\"21368320\", alpha=\"0.03\", expect_size=\"8547328\"] \n  19 -> 20 [size =\"8547328\"]\n  20 [size=\"34547200\", alpha=\"0.03\", expect_size=\"13818880\"] \n  20 -> 21 [size =\"13818880\"]\n  21 [size=\"89738240\", alpha=\"0.12\", expect_size=\"35895296\"] \n  21 -> 22 [size =\"35895296\"]\n  22 [size=\"69145600\", alpha=\"0.04\", expect_size=\"27658240\"] \n  22 -> 23 [size =\"27658240\"]\n  23 [size=\"106045440\", alpha=\"0.05\", expect_size=\"42418176\"] \n  23 -> 24 [size =\"42418176\"]\n  24 [size=\"81582080\", alpha=\"0.12\", expect_size=\"32632832\"] \n  24 -> 25 [size =\"32632832\"]\n  25 [size=\"122787840\", alpha=\"0.03\", expect_size=\"49115136\"] \n  25 -> 26 [size =\"49115136\"]\n  26 [size=\"34498560\", alpha=\"0.03\", expect_size=\"13799424\"] \n  26 -> 27 [size =\"13799424\"]\n  27 [size=\"120212480\", alpha=\"0.09\", expect_size=\"48084992\"] \n  27 -> 28 [size =\"48084992\"]\n  28 [size=\"52892160\", alpha=\"0.04\", expect_size=\"21156864\"] \n  28 -> 29 [size =\"21156864\"]\n  29 [size=\"49543680\", alpha=\"0.15\", expect_size=\"19817472\"] \n  29 -> 30 [size =\"19817472\"]\n  30 [size=\"65085440\", alpha=\"0.03\", expect_size=\"26034176\"] \n  30 -> 31 [size =\"26034176\"]\n  31 [size=\"81817600\", alpha=\"0.09\", expect_size=\"32727040\"] \n  31 -> 32 [size =\"32727040\"]\n  32 [size=\"36014080\", alpha=\"0.18\", expect_size=\"14405632\"] \n  32 -> 33 [size =\"14405632\"]\n  33 [size=\"57446400\", alpha=\"0.11\", expect_size=\"22978560\"] \n  33 -> 34 [size =\"22978560\"]\n  34 [size=\"86144000\", alpha=\"0.12\", expect_size=\"34457600\"] \n  34 -> 35 [size =\"34457600\"]\n  35 [size=\"37667840\", alpha=\"0.18\", expect_size=\"15067136\"] \n  35 -> 36 [size =\"15067136\"]\n  36 [size=\"54023680\", alpha=\"0.01\", expect_size=\"21609472\"] \n  36 -> 37 [size =\"21609472\"]\n  37 [size=\"70958080\", alpha=\"0.06\", expect_size=\"28383232\"] \n  37 -> 38 [size =\"28383232\"]\n  38 [size=\"125844480\", alpha=\"0.10\", expect_size=\"50337792\"] \n  38 -> 39 [size =\"50337792\"]\n  39 [size=\"30899200\", alpha=\"0.15\", expect_size=\"12359680\"] \n  39 -> 40 [size =\"12359680\"]\n  40 [size=\"121310720\", alpha=\"0.04\", expect_size=\"48524288\"] \n  40 -> 41 [size =\"48524288\"]\n  41 [size=\"22049280\", alpha=\"0.06\", expect_size=\"8819712\"] \n  41 -> 42 [size =\"8819712\"]\n  42 [size=\"73456640\", alpha=\"0.18\", expect_size=\"29382656\"] \n  42 -> 43 [size =\"29382656\"]\n  43 [size=\"62707200\", alpha=\"0.05\", expect_size=\"25082880\"] \n  43 -> 44 [size =\"25082880\"]\n  44 [size=\"129738240\", alpha=\"0.04\", expect_size=\"51895296\"] \n  44 -> 45 [size =\"51895296\"]\n  45 [size=\"82577920\", alpha=\"0.02\", expect_size=\"33031168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83548160\", alpha=\"0.18\", expect_size=\"33419264\"] \n  1 -> 11 [size =\"33419264\"]\n  1 -> 12 [size =\"33419264\"]\n  1 -> 17 [size =\"33419264\"]\n  1 -> 18 [size =\"33419264\"]\n  2 [size=\"122928640\", alpha=\"0.18\", expect_size=\"49171456\"] \n  2 -> 18 [size =\"49171456\"]\n  3 [size=\"20648960\", alpha=\"0.13\", expect_size=\"8259584\"] \n  3 -> 12 [size =\"8259584\"]\n  3 -> 14 [size =\"8259584\"]\n  3 -> 22 [size =\"8259584\"]\n  4 [size=\"94118400\", alpha=\"0.18\", expect_size=\"37647360\"] \n  4 -> 11 [size =\"37647360\"]\n  4 -> 13 [size =\"37647360\"]\n  4 -> 16 [size =\"37647360\"]\n  4 -> 22 [size =\"37647360\"]\n  5 [size=\"84838400\", alpha=\"0.10\", expect_size=\"33935360\"] \n  5 -> 16 [size =\"33935360\"]\n  5 -> 19 [size =\"33935360\"]\n  6 [size=\"72207360\", alpha=\"0.12\", expect_size=\"28882944\"] \n  6 -> 10 [size =\"28882944\"]\n  6 -> 12 [size =\"28882944\"]\n  6 -> 14 [size =\"28882944\"]\n  6 -> 15 [size =\"28882944\"]\n  6 -> 16 [size =\"28882944\"]\n  6 -> 19 [size =\"28882944\"]\n  7 [size=\"24811520\", alpha=\"0.01\", expect_size=\"9924608\"] \n  7 -> 12 [size =\"9924608\"]\n  7 -> 12 [size =\"9924608\"]\n  7 -> 14 [size =\"9924608\"]\n  7 -> 15 [size =\"9924608\"]\n  7 -> 16 [size =\"9924608\"]\n  7 -> 17 [size =\"9924608\"]\n  7 -> 18 [size =\"9924608\"]\n  7 -> 19 [size =\"9924608\"]\n  7 -> 20 [size =\"9924608\"]\n  7 -> 21 [size =\"9924608\"]\n  8 [size=\"31590400\", alpha=\"0.05\", expect_size=\"12636160\"] \n  8 -> 11 [size =\"12636160\"]\n  8 -> 13 [size =\"12636160\"]\n  8 -> 15 [size =\"12636160\"]\n  8 -> 16 [size =\"12636160\"]\n  8 -> 18 [size =\"12636160\"]\n  8 -> 21 [size =\"12636160\"]\n  9 [size=\"57873920\", alpha=\"0.16\", expect_size=\"23149568\"] \n  9 -> 10 [size =\"23149568\"]\n  9 -> 18 [size =\"23149568\"]\n  9 -> 22 [size =\"23149568\"]\n  10 [size=\"81267200\", alpha=\"0.11\", expect_size=\"32506880\"] \n  10 -> 25 [size =\"32506880\"]\n  10 -> 28 [size =\"32506880\"]\n  10 -> 29 [size =\"32506880\"]\n  10 -> 30 [size =\"32506880\"]\n  10 -> 34 [size =\"32506880\"]\n  10 -> 37 [size =\"32506880\"]\n  10 -> 39 [size =\"32506880\"]\n  11 [size=\"26547200\", alpha=\"0.12\", expect_size=\"10618880\"] \n  11 -> 24 [size =\"10618880\"]\n  11 -> 28 [size =\"10618880\"]\n  11 -> 33 [size =\"10618880\"]\n  12 [size=\"17006080\", alpha=\"0.10\", expect_size=\"6802432\"] \n  12 -> 26 [size =\"6802432\"]\n  12 -> 30 [size =\"6802432\"]\n  12 -> 34 [size =\"6802432\"]\n  12 -> 36 [size =\"6802432\"]\n  13 [size=\"121868800\", alpha=\"0.11\", expect_size=\"48747520\"] \n  13 -> 29 [size =\"48747520\"]\n  13 -> 34 [size =\"48747520\"]\n  13 -> 37 [size =\"48747520\"]\n  13 -> 38 [size =\"48747520\"]\n  13 -> 39 [size =\"48747520\"]\n  14 [size=\"82112000\", alpha=\"0.13\", expect_size=\"32844800\"] \n  14 -> 25 [size =\"32844800\"]\n  14 -> 26 [size =\"32844800\"]\n  14 -> 28 [size =\"32844800\"]\n  14 -> 29 [size =\"32844800\"]\n  14 -> 34 [size =\"32844800\"]\n  14 -> 38 [size =\"32844800\"]\n  15 [size=\"72645120\", alpha=\"0.06\", expect_size=\"29058048\"] \n  15 -> 23 [size =\"29058048\"]\n  15 -> 27 [size =\"29058048\"]\n  15 -> 28 [size =\"29058048\"]\n  15 -> 29 [size =\"29058048\"]\n  15 -> 34 [size =\"29058048\"]\n  15 -> 36 [size =\"29058048\"]\n  16 [size=\"15480320\", alpha=\"0.07\", expect_size=\"6192128\"] \n  16 -> 24 [size =\"6192128\"]\n  16 -> 25 [size =\"6192128\"]\n  16 -> 27 [size =\"6192128\"]\n  16 -> 32 [size =\"6192128\"]\n  16 -> 38 [size =\"6192128\"]\n  16 -> 39 [size =\"6192128\"]\n  17 [size=\"86269440\", alpha=\"0.18\", expect_size=\"34507776\"] \n  17 -> 23 [size =\"34507776\"]\n  17 -> 26 [size =\"34507776\"]\n  17 -> 27 [size =\"34507776\"]\n  17 -> 29 [size =\"34507776\"]\n  17 -> 36 [size =\"34507776\"]\n  18 [size=\"90429440\", alpha=\"0.05\", expect_size=\"36171776\"] \n  18 -> 24 [size =\"36171776\"]\n  18 -> 27 [size =\"36171776\"]\n  18 -> 27 [size =\"36171776\"]\n  18 -> 29 [size =\"36171776\"]\n  18 -> 32 [size =\"36171776\"]\n  18 -> 35 [size =\"36171776\"]\n  18 -> 36 [size =\"36171776\"]\n  18 -> 38 [size =\"36171776\"]\n  19 [size=\"118251520\", alpha=\"0.12\", expect_size=\"47300608\"] \n  19 -> 27 [size =\"47300608\"]\n  19 -> 28 [size =\"47300608\"]\n  19 -> 33 [size =\"47300608\"]\n  19 -> 34 [size =\"47300608\"]\n  19 -> 36 [size =\"47300608\"]\n  19 -> 38 [size =\"47300608\"]\n  20 [size=\"95147520\", alpha=\"0.08\", expect_size=\"38059008\"] \n  20 -> 26 [size =\"38059008\"]\n  20 -> 27 [size =\"38059008\"]\n  20 -> 28 [size =\"38059008\"]\n  20 -> 31 [size =\"38059008\"]\n  20 -> 32 [size =\"38059008\"]\n  20 -> 34 [size =\"38059008\"]\n  20 -> 36 [size =\"38059008\"]\n  20 -> 37 [size =\"38059008\"]\n  20 -> 38 [size =\"38059008\"]\n  21 [size=\"43742720\", alpha=\"0.17\", expect_size=\"17497088\"] \n  21 -> 24 [size =\"17497088\"]\n  21 -> 28 [size =\"17497088\"]\n  21 -> 29 [size =\"17497088\"]\n  21 -> 30 [size =\"17497088\"]\n  21 -> 32 [size =\"17497088\"]\n  21 -> 38 [size =\"17497088\"]\n  22 [size=\"116610560\", alpha=\"0.03\", expect_size=\"46644224\"] \n  22 -> 24 [size =\"46644224\"]\n  22 -> 29 [size =\"46644224\"]\n  22 -> 30 [size =\"46644224\"]\n  22 -> 34 [size =\"46644224\"]\n  22 -> 36 [size =\"46644224\"]\n  22 -> 38 [size =\"46644224\"]\n  23 [size=\"58444800\", alpha=\"0.12\", expect_size=\"23377920\"] \n  23 -> 40 [size =\"23377920\"]\n  23 -> 43 [size =\"23377920\"]\n  24 [size=\"124817920\", alpha=\"0.13\", expect_size=\"49927168\"] \n  24 -> 41 [size =\"49927168\"]\n  24 -> 42 [size =\"49927168\"]\n  24 -> 43 [size =\"49927168\"]\n  24 -> 44 [size =\"49927168\"]\n  25 [size=\"84177920\", alpha=\"0.07\", expect_size=\"33671168\"] \n  25 -> 40 [size =\"33671168\"]\n  25 -> 41 [size =\"33671168\"]\n  25 -> 42 [size =\"33671168\"]\n  25 -> 44 [size =\"33671168\"]\n  26 [size=\"122391040\", alpha=\"0.11\", expect_size=\"48956416\"] \n  26 -> 40 [size =\"48956416\"]\n  26 -> 42 [size =\"48956416\"]\n  26 -> 42 [size =\"48956416\"]\n  26 -> 45 [size =\"48956416\"]\n  27 [size=\"46860800\", alpha=\"0.17\", expect_size=\"18744320\"] \n  27 -> 40 [size =\"18744320\"]\n  27 -> 42 [size =\"18744320\"]\n  27 -> 43 [size =\"18744320\"]\n  27 -> 44 [size =\"18744320\"]\n  28 [size=\"34334720\", alpha=\"0.07\", expect_size=\"13733888\"] \n  28 -> 40 [size =\"13733888\"]\n  28 -> 44 [size =\"13733888\"]\n  28 -> 45 [size =\"13733888\"]\n  29 [size=\"61672960\", alpha=\"0.03\", expect_size=\"24669184\"] \n  29 -> 40 [size =\"24669184\"]\n  29 -> 45 [size =\"24669184\"]\n  29 -> 45 [size =\"24669184\"]\n  30 [size=\"15603200\", alpha=\"0.12\", expect_size=\"6241280\"] \n  30 -> 40 [size =\"6241280\"]\n  30 -> 43 [size =\"6241280\"]\n  30 -> 45 [size =\"6241280\"]\n  31 [size=\"65454080\", alpha=\"0.02\", expect_size=\"26181632\"] \n  31 -> 40 [size =\"26181632\"]\n  31 -> 41 [size =\"26181632\"]\n  31 -> 42 [size =\"26181632\"]\n  31 -> 43 [size =\"26181632\"]\n  32 [size=\"45742080\", alpha=\"0.13\", expect_size=\"18296832\"] \n  32 -> 42 [size =\"18296832\"]\n  32 -> 43 [size =\"18296832\"]\n  32 -> 44 [size =\"18296832\"]\n  33 [size=\"66288640\", alpha=\"0.03\", expect_size=\"26515456\"] \n  33 -> 41 [size =\"26515456\"]\n  33 -> 42 [size =\"26515456\"]\n  33 -> 43 [size =\"26515456\"]\n  33 -> 45 [size =\"26515456\"]\n  34 [size=\"16670720\", alpha=\"0.04\", expect_size=\"6668288\"] \n  34 -> 40 [size =\"6668288\"]\n  34 -> 42 [size =\"6668288\"]\n  34 -> 45 [size =\"6668288\"]\n  35 [size=\"95869440\", alpha=\"0.16\", expect_size=\"38347776\"] \n  35 -> 44 [size =\"38347776\"]\n  35 -> 45 [size =\"38347776\"]\n  36 [size=\"21724160\", alpha=\"0.08\", expect_size=\"8689664\"] \n  36 -> 40 [size =\"8689664\"]\n  36 -> 44 [size =\"8689664\"]\n  36 -> 45 [size =\"8689664\"]\n  37 [size=\"89264640\", alpha=\"0.12\", expect_size=\"35705856\"] \n  37 -> 43 [size =\"35705856\"]\n  38 [size=\"74268160\", alpha=\"0.09\", expect_size=\"29707264\"] \n  38 -> 42 [size =\"29707264\"]\n  38 -> 44 [size =\"29707264\"]\n  39 [size=\"113182720\", alpha=\"0.05\", expect_size=\"45273088\"] \n  39 -> 44 [size =\"45273088\"]\n  39 -> 45 [size =\"45273088\"]\n  40 [size=\"14848000\", alpha=\"0.14\", expect_size=\"5939200\"] \n  41 [size=\"83353600\", alpha=\"0.08\", expect_size=\"33341440\"] \n  42 [size=\"96215040\", alpha=\"0.20\", expect_size=\"38486016\"] \n  43 [size=\"57333760\", alpha=\"0.19\", expect_size=\"22933504\"] \n  44 [size=\"75468800\", alpha=\"0.18\", expect_size=\"30187520\"] \n  45 [size=\"101665280\", alpha=\"0.08\", expect_size=\"40666112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46747648\", alpha=\"0.16\", expect_size=\"23373824\"] \n  1 -> 7 [size =\"23373824\"]\n  1 -> 8 [size =\"23373824\"]\n  1 -> 9 [size =\"23373824\"]\n  2 [size=\"18192384\", alpha=\"0.19\", expect_size=\"9096192\"] \n  2 -> 6 [size =\"9096192\"]\n  3 [size=\"76881920\", alpha=\"0.07\", expect_size=\"38440960\"] \n  4 [size=\"75431936\", alpha=\"0.00\", expect_size=\"37715968\"] \n  4 -> 7 [size =\"37715968\"]\n  4 -> 9 [size =\"37715968\"]\n  5 [size=\"37406720\", alpha=\"0.02\", expect_size=\"18703360\"] \n  6 [size=\"82941952\", alpha=\"0.01\", expect_size=\"41470976\"] \n  6 -> 10 [size =\"41470976\"]\n  6 -> 11 [size =\"41470976\"]\n  6 -> 12 [size =\"41470976\"]\n  6 -> 13 [size =\"41470976\"]\n  6 -> 14 [size =\"41470976\"]\n  7 [size=\"59295744\", alpha=\"0.10\", expect_size=\"29647872\"] \n  7 -> 10 [size =\"29647872\"]\n  7 -> 11 [size =\"29647872\"]\n  7 -> 12 [size =\"29647872\"]\n  7 -> 13 [size =\"29647872\"]\n  8 [size=\"84140032\", alpha=\"0.13\", expect_size=\"42070016\"] \n  8 -> 10 [size =\"42070016\"]\n  8 -> 11 [size =\"42070016\"]\n  8 -> 13 [size =\"42070016\"]\n  9 [size=\"33847296\", alpha=\"0.16\", expect_size=\"16923648\"] \n  9 -> 10 [size =\"16923648\"]\n  9 -> 11 [size =\"16923648\"]\n  9 -> 13 [size =\"16923648\"]\n  9 -> 14 [size =\"16923648\"]\n  10 [size=\"36026368\", alpha=\"0.07\", expect_size=\"18013184\"] \n  10 -> 15 [size =\"18013184\"]\n  10 -> 16 [size =\"18013184\"]\n  11 [size=\"44062720\", alpha=\"0.17\", expect_size=\"22031360\"] \n  11 -> 15 [size =\"22031360\"]\n  11 -> 16 [size =\"22031360\"]\n  11 -> 17 [size =\"22031360\"]\n  12 [size=\"24512512\", alpha=\"0.04\", expect_size=\"12256256\"] \n  12 -> 15 [size =\"12256256\"]\n  12 -> 18 [size =\"12256256\"]\n  13 [size=\"22073344\", alpha=\"0.12\", expect_size=\"11036672\"] \n  13 -> 15 [size =\"11036672\"]\n  13 -> 16 [size =\"11036672\"]\n  14 [size=\"53020672\", alpha=\"0.06\", expect_size=\"26510336\"] \n  14 -> 15 [size =\"26510336\"]\n  14 -> 16 [size =\"26510336\"]\n  14 -> 18 [size =\"26510336\"]\n  15 [size=\"53825536\", alpha=\"0.16\", expect_size=\"26912768\"] \n  15 -> 23 [size =\"26912768\"]\n  16 [size=\"65112064\", alpha=\"0.19\", expect_size=\"32556032\"] \n  16 -> 19 [size =\"32556032\"]\n  16 -> 20 [size =\"32556032\"]\n  16 -> 22 [size =\"32556032\"]\n  16 -> 23 [size =\"32556032\"]\n  17 [size=\"71677952\", alpha=\"0.20\", expect_size=\"35838976\"] \n  17 -> 20 [size =\"35838976\"]\n  17 -> 22 [size =\"35838976\"]\n  17 -> 23 [size =\"35838976\"]\n  18 [size=\"23123968\", alpha=\"0.08\", expect_size=\"11561984\"] \n  18 -> 19 [size =\"11561984\"]\n  18 -> 21 [size =\"11561984\"]\n  18 -> 22 [size =\"11561984\"]\n  18 -> 23 [size =\"11561984\"]\n  19 [size=\"85694464\", alpha=\"0.06\", expect_size=\"42847232\"] \n  19 -> 25 [size =\"42847232\"]\n  19 -> 26 [size =\"42847232\"]\n  20 [size=\"67354624\", alpha=\"0.05\", expect_size=\"33677312\"] \n  20 -> 25 [size =\"33677312\"]\n  20 -> 28 [size =\"33677312\"]\n  21 [size=\"101883904\", alpha=\"0.11\", expect_size=\"50941952\"] \n  21 -> 24 [size =\"50941952\"]\n  21 -> 25 [size =\"50941952\"]\n  21 -> 26 [size =\"50941952\"]\n  21 -> 27 [size =\"50941952\"]\n  21 -> 28 [size =\"50941952\"]\n  22 [size=\"86226944\", alpha=\"0.18\", expect_size=\"43113472\"] \n  22 -> 24 [size =\"43113472\"]\n  22 -> 26 [size =\"43113472\"]\n  23 [size=\"102881280\", alpha=\"0.00\", expect_size=\"51440640\"] \n  23 -> 26 [size =\"51440640\"]\n  24 [size=\"63504384\", alpha=\"0.16\", expect_size=\"31752192\"] \n  24 -> 30 [size =\"31752192\"]\n  25 [size=\"91539456\", alpha=\"0.17\", expect_size=\"45769728\"] \n  25 -> 30 [size =\"45769728\"]\n  26 [size=\"72560640\", alpha=\"0.13\", expect_size=\"36280320\"] \n  26 -> 29 [size =\"36280320\"]\n  26 -> 30 [size =\"36280320\"]\n  26 -> 31 [size =\"36280320\"]\n  27 [size=\"66430976\", alpha=\"0.00\", expect_size=\"33215488\"] \n  27 -> 30 [size =\"33215488\"]\n  28 [size=\"64813056\", alpha=\"0.03\", expect_size=\"32406528\"] \n  28 -> 29 [size =\"32406528\"]\n  28 -> 31 [size =\"32406528\"]\n  29 [size=\"102455296\", alpha=\"0.10\", expect_size=\"51227648\"] \n  29 -> 33 [size =\"51227648\"]\n  29 -> 34 [size =\"51227648\"]\n  30 [size=\"37652480\", alpha=\"0.03\", expect_size=\"18826240\"] \n  30 -> 32 [size =\"18826240\"]\n  30 -> 33 [size =\"18826240\"]\n  31 [size=\"59543552\", alpha=\"0.03\", expect_size=\"29771776\"] \n  31 -> 32 [size =\"29771776\"]\n  31 -> 33 [size =\"29771776\"]\n  32 [size=\"15646720\", alpha=\"0.06\", expect_size=\"7823360\"] \n  32 -> 35 [size =\"7823360\"]\n  32 -> 37 [size =\"7823360\"]\n  33 [size=\"102414336\", alpha=\"0.12\", expect_size=\"51207168\"] \n  33 -> 35 [size =\"51207168\"]\n  33 -> 37 [size =\"51207168\"]\n  34 [size=\"103131136\", alpha=\"0.06\", expect_size=\"51565568\"] \n  34 -> 36 [size =\"51565568\"]\n  35 [size=\"82739200\", alpha=\"0.10\", expect_size=\"41369600\"] \n  35 -> 38 [size =\"41369600\"]\n  35 -> 39 [size =\"41369600\"]\n  35 -> 41 [size =\"41369600\"]\n  35 -> 42 [size =\"41369600\"]\n  36 [size=\"68163584\", alpha=\"0.05\", expect_size=\"34081792\"] \n  36 -> 38 [size =\"34081792\"]\n  36 -> 40 [size =\"34081792\"]\n  36 -> 41 [size =\"34081792\"]\n  36 -> 42 [size =\"34081792\"]\n  36 -> 43 [size =\"34081792\"]\n  37 [size=\"37486592\", alpha=\"0.13\", expect_size=\"18743296\"] \n  37 -> 38 [size =\"18743296\"]\n  37 -> 39 [size =\"18743296\"]\n  37 -> 40 [size =\"18743296\"]\n  37 -> 42 [size =\"18743296\"]\n  37 -> 43 [size =\"18743296\"]\n  38 [size=\"39520256\", alpha=\"0.04\", expect_size=\"19760128\"] \n  38 -> 44 [size =\"19760128\"]\n  39 [size=\"53549056\", alpha=\"0.11\", expect_size=\"26774528\"] \n  39 -> 44 [size =\"26774528\"]\n  39 -> 45 [size =\"26774528\"]\n  40 [size=\"102934528\", alpha=\"0.10\", expect_size=\"51467264\"] \n  40 -> 44 [size =\"51467264\"]\n  40 -> 45 [size =\"51467264\"]\n  41 [size=\"24471552\", alpha=\"0.08\", expect_size=\"12235776\"] \n  41 -> 44 [size =\"12235776\"]\n  42 [size=\"40486912\", alpha=\"0.02\", expect_size=\"20243456\"] \n  42 -> 44 [size =\"20243456\"]\n  43 [size=\"70631424\", alpha=\"0.16\", expect_size=\"35315712\"] \n  43 -> 44 [size =\"35315712\"]\n  43 -> 45 [size =\"35315712\"]\n  44 [size=\"32122880\", alpha=\"0.01\", expect_size=\"16061440\"] \n  45 [size=\"61868032\", alpha=\"0.04\", expect_size=\"30934016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40289280\", alpha=\"0.04\", expect_size=\"16115712\"] \n  1 -> 9 [size =\"16115712\"]\n  2 [size=\"104143360\", alpha=\"0.01\", expect_size=\"41657344\"] \n  2 -> 7 [size =\"41657344\"]\n  2 -> 11 [size =\"41657344\"]\n  3 [size=\"44085760\", alpha=\"0.05\", expect_size=\"17634304\"] \n  3 -> 8 [size =\"17634304\"]\n  4 [size=\"47754240\", alpha=\"0.17\", expect_size=\"19101696\"] \n  4 -> 6 [size =\"19101696\"]\n  4 -> 8 [size =\"19101696\"]\n  4 -> 10 [size =\"19101696\"]\n  4 -> 11 [size =\"19101696\"]\n  5 [size=\"51299840\", alpha=\"0.00\", expect_size=\"20519936\"] \n  5 -> 9 [size =\"20519936\"]\n  5 -> 10 [size =\"20519936\"]\n  5 -> 10 [size =\"20519936\"]\n  6 [size=\"126576640\", alpha=\"0.04\", expect_size=\"50630656\"] \n  6 -> 13 [size =\"50630656\"]\n  6 -> 16 [size =\"50630656\"]\n  7 [size=\"75363840\", alpha=\"0.03\", expect_size=\"30145536\"] \n  7 -> 13 [size =\"30145536\"]\n  7 -> 15 [size =\"30145536\"]\n  7 -> 16 [size =\"30145536\"]\n  8 [size=\"105121280\", alpha=\"0.15\", expect_size=\"42048512\"] \n  8 -> 14 [size =\"42048512\"]\n  8 -> 15 [size =\"42048512\"]\n  9 [size=\"42926080\", alpha=\"0.11\", expect_size=\"17170432\"] \n  10 [size=\"35747840\", alpha=\"0.14\", expect_size=\"14299136\"] \n  10 -> 12 [size =\"14299136\"]\n  10 -> 13 [size =\"14299136\"]\n  10 -> 15 [size =\"14299136\"]\n  10 -> 16 [size =\"14299136\"]\n  11 [size=\"108170240\", alpha=\"0.06\", expect_size=\"43268096\"] \n  12 [size=\"14561280\", alpha=\"0.03\", expect_size=\"5824512\"] \n  12 -> 20 [size =\"5824512\"]\n  12 -> 21 [size =\"5824512\"]\n  13 [size=\"21982720\", alpha=\"0.10\", expect_size=\"8793088\"] \n  13 -> 19 [size =\"8793088\"]\n  13 -> 20 [size =\"8793088\"]\n  13 -> 21 [size =\"8793088\"]\n  14 [size=\"49077760\", alpha=\"0.03\", expect_size=\"19631104\"] \n  15 [size=\"29020160\", alpha=\"0.12\", expect_size=\"11608064\"] \n  15 -> 17 [size =\"11608064\"]\n  15 -> 18 [size =\"11608064\"]\n  16 [size=\"31848960\", alpha=\"0.13\", expect_size=\"12739584\"] \n  16 -> 20 [size =\"12739584\"]\n  16 -> 22 [size =\"12739584\"]\n  17 [size=\"53455360\", alpha=\"0.18\", expect_size=\"21382144\"] \n  17 -> 23 [size =\"21382144\"]\n  17 -> 25 [size =\"21382144\"]\n  17 -> 26 [size =\"21382144\"]\n  18 [size=\"69972480\", alpha=\"0.06\", expect_size=\"27988992\"] \n  18 -> 23 [size =\"27988992\"]\n  18 -> 25 [size =\"27988992\"]\n  18 -> 27 [size =\"27988992\"]\n  18 -> 28 [size =\"27988992\"]\n  19 [size=\"37972480\", alpha=\"0.10\", expect_size=\"15188992\"] \n  19 -> 23 [size =\"15188992\"]\n  19 -> 26 [size =\"15188992\"]\n  20 [size=\"104396800\", alpha=\"0.02\", expect_size=\"41758720\"] \n  20 -> 28 [size =\"41758720\"]\n  21 [size=\"66117120\", alpha=\"0.18\", expect_size=\"26446848\"] \n  21 -> 24 [size =\"26446848\"]\n  21 -> 27 [size =\"26446848\"]\n  21 -> 28 [size =\"26446848\"]\n  22 [size=\"99018240\", alpha=\"0.09\", expect_size=\"39607296\"] \n  23 [size=\"119631360\", alpha=\"0.06\", expect_size=\"47852544\"] \n  23 -> 31 [size =\"47852544\"]\n  24 [size=\"62026240\", alpha=\"0.09\", expect_size=\"24810496\"] \n  24 -> 30 [size =\"24810496\"]\n  24 -> 31 [size =\"24810496\"]\n  24 -> 32 [size =\"24810496\"]\n  24 -> 34 [size =\"24810496\"]\n  25 [size=\"81272320\", alpha=\"0.18\", expect_size=\"32508928\"] \n  25 -> 30 [size =\"32508928\"]\n  25 -> 34 [size =\"32508928\"]\n  26 [size=\"31436800\", alpha=\"0.06\", expect_size=\"12574720\"] \n  26 -> 29 [size =\"12574720\"]\n  26 -> 30 [size =\"12574720\"]\n  26 -> 33 [size =\"12574720\"]\n  27 [size=\"108866560\", alpha=\"0.05\", expect_size=\"43546624\"] \n  28 [size=\"98506240\", alpha=\"0.19\", expect_size=\"39402496\"] \n  28 -> 29 [size =\"39402496\"]\n  28 -> 31 [size =\"39402496\"]\n  28 -> 34 [size =\"39402496\"]\n  29 [size=\"16079360\", alpha=\"0.19\", expect_size=\"6431744\"] \n  29 -> 35 [size =\"6431744\"]\n  29 -> 38 [size =\"6431744\"]\n  29 -> 39 [size =\"6431744\"]\n  30 [size=\"76088320\", alpha=\"0.02\", expect_size=\"30435328\"] \n  30 -> 35 [size =\"30435328\"]\n  30 -> 37 [size =\"30435328\"]\n  30 -> 38 [size =\"30435328\"]\n  31 [size=\"85716480\", alpha=\"0.02\", expect_size=\"34286592\"] \n  31 -> 35 [size =\"34286592\"]\n  31 -> 37 [size =\"34286592\"]\n  32 [size=\"72148480\", alpha=\"0.02\", expect_size=\"28859392\"] \n  32 -> 36 [size =\"28859392\"]\n  33 [size=\"126420480\", alpha=\"0.03\", expect_size=\"50568192\"] \n  34 [size=\"43581440\", alpha=\"0.10\", expect_size=\"17432576\"] \n  35 [size=\"94210560\", alpha=\"0.00\", expect_size=\"37684224\"] \n  35 -> 40 [size =\"37684224\"]\n  35 -> 41 [size =\"37684224\"]\n  35 -> 43 [size =\"37684224\"]\n  35 -> 44 [size =\"37684224\"]\n  36 [size=\"80570880\", alpha=\"0.14\", expect_size=\"32228352\"] \n  36 -> 40 [size =\"32228352\"]\n  36 -> 41 [size =\"32228352\"]\n  36 -> 44 [size =\"32228352\"]\n  37 [size=\"116131840\", alpha=\"0.14\", expect_size=\"46452736\"] \n  38 [size=\"27223040\", alpha=\"0.03\", expect_size=\"10889216\"] \n  38 -> 40 [size =\"10889216\"]\n  38 -> 42 [size =\"10889216\"]\n  39 [size=\"23823360\", alpha=\"0.17\", expect_size=\"9529344\"] \n  39 -> 41 [size =\"9529344\"]\n  39 -> 42 [size =\"9529344\"]\n  40 [size=\"17789440\", alpha=\"0.07\", expect_size=\"7115776\"] \n  41 [size=\"31759360\", alpha=\"0.05\", expect_size=\"12703744\"] \n  42 [size=\"42839040\", alpha=\"0.18\", expect_size=\"17135616\"] \n  43 [size=\"52482560\", alpha=\"0.09\", expect_size=\"20993024\"] \n  44 [size=\"69562880\", alpha=\"0.08\", expect_size=\"27825152\"] \n  44 -> 45 [size =\"27825152\"]\n  45 [size=\"130058240\", alpha=\"0.19\", expect_size=\"52023296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118732800\", alpha=\"0.11\", expect_size=\"47493120\"] \n  1 -> 7 [size =\"47493120\"]\n  2 [size=\"80253440\", alpha=\"0.01\", expect_size=\"32101376\"] \n  2 -> 10 [size =\"32101376\"]\n  3 [size=\"92840960\", alpha=\"0.15\", expect_size=\"37136384\"] \n  3 -> 8 [size =\"37136384\"]\n  3 -> 10 [size =\"37136384\"]\n  4 [size=\"33548800\", alpha=\"0.19\", expect_size=\"13419520\"] \n  4 -> 7 [size =\"13419520\"]\n  4 -> 10 [size =\"13419520\"]\n  5 [size=\"122140160\", alpha=\"0.15\", expect_size=\"48856064\"] \n  5 -> 6 [size =\"48856064\"]\n  5 -> 7 [size =\"48856064\"]\n  5 -> 9 [size =\"48856064\"]\n  6 [size=\"120678400\", alpha=\"0.12\", expect_size=\"48271360\"] \n  6 -> 11 [size =\"48271360\"]\n  6 -> 12 [size =\"48271360\"]\n  7 [size=\"120230400\", alpha=\"0.05\", expect_size=\"48092160\"] \n  7 -> 11 [size =\"48092160\"]\n  7 -> 16 [size =\"48092160\"]\n  8 [size=\"131031040\", alpha=\"0.13\", expect_size=\"52412416\"] \n  8 -> 15 [size =\"52412416\"]\n  8 -> 16 [size =\"52412416\"]\n  9 [size=\"81008640\", alpha=\"0.17\", expect_size=\"32403456\"] \n  9 -> 13 [size =\"32403456\"]\n  9 -> 14 [size =\"32403456\"]\n  9 -> 16 [size =\"32403456\"]\n  10 [size=\"66654720\", alpha=\"0.01\", expect_size=\"26661888\"] \n  11 [size=\"33861120\", alpha=\"0.14\", expect_size=\"13544448\"] \n  11 -> 20 [size =\"13544448\"]\n  11 -> 20 [size =\"13544448\"]\n  11 -> 21 [size =\"13544448\"]\n  11 -> 22 [size =\"13544448\"]\n  12 [size=\"96007680\", alpha=\"0.14\", expect_size=\"38403072\"] \n  12 -> 17 [size =\"38403072\"]\n  12 -> 19 [size =\"38403072\"]\n  12 -> 22 [size =\"38403072\"]\n  13 [size=\"100966400\", alpha=\"0.17\", expect_size=\"40386560\"] \n  13 -> 17 [size =\"40386560\"]\n  13 -> 18 [size =\"40386560\"]\n  13 -> 22 [size =\"40386560\"]\n  13 -> 23 [size =\"40386560\"]\n  14 [size=\"71869440\", alpha=\"0.07\", expect_size=\"28747776\"] \n  14 -> 17 [size =\"28747776\"]\n  15 [size=\"68193280\", alpha=\"0.03\", expect_size=\"27277312\"] \n  16 [size=\"39782400\", alpha=\"0.04\", expect_size=\"15912960\"] \n  16 -> 18 [size =\"15912960\"]\n  16 -> 20 [size =\"15912960\"]\n  17 [size=\"109867520\", alpha=\"0.02\", expect_size=\"43947008\"] \n  17 -> 26 [size =\"43947008\"]\n  17 -> 27 [size =\"43947008\"]\n  18 [size=\"22256640\", alpha=\"0.08\", expect_size=\"8902656\"] \n  18 -> 24 [size =\"8902656\"]\n  18 -> 26 [size =\"8902656\"]\n  19 [size=\"101276160\", alpha=\"0.12\", expect_size=\"40510464\"] \n  19 -> 27 [size =\"40510464\"]\n  20 [size=\"85882880\", alpha=\"0.19\", expect_size=\"34353152\"] \n  20 -> 25 [size =\"34353152\"]\n  20 -> 26 [size =\"34353152\"]\n  21 [size=\"93964800\", alpha=\"0.03\", expect_size=\"37585920\"] \n  21 -> 24 [size =\"37585920\"]\n  22 [size=\"57000960\", alpha=\"0.18\", expect_size=\"22800384\"] \n  22 -> 24 [size =\"22800384\"]\n  22 -> 25 [size =\"22800384\"]\n  22 -> 27 [size =\"22800384\"]\n  23 [size=\"19358720\", alpha=\"0.07\", expect_size=\"7743488\"] \n  24 [size=\"122562560\", alpha=\"0.20\", expect_size=\"49025024\"] \n  24 -> 29 [size =\"49025024\"]\n  25 [size=\"45002240\", alpha=\"0.11\", expect_size=\"18000896\"] \n  25 -> 30 [size =\"18000896\"]\n  25 -> 31 [size =\"18000896\"]\n  25 -> 32 [size =\"18000896\"]\n  26 [size=\"63101440\", alpha=\"0.00\", expect_size=\"25240576\"] \n  26 -> 28 [size =\"25240576\"]\n  26 -> 29 [size =\"25240576\"]\n  26 -> 33 [size =\"25240576\"]\n  26 -> 34 [size =\"25240576\"]\n  27 [size=\"84334080\", alpha=\"0.08\", expect_size=\"33733632\"] \n  27 -> 32 [size =\"33733632\"]\n  27 -> 33 [size =\"33733632\"]\n  28 [size=\"97034240\", alpha=\"0.15\", expect_size=\"38813696\"] \n  28 -> 36 [size =\"38813696\"]\n  28 -> 38 [size =\"38813696\"]\n  29 [size=\"24217600\", alpha=\"0.14\", expect_size=\"9687040\"] \n  29 -> 36 [size =\"9687040\"]\n  30 [size=\"96550400\", alpha=\"0.02\", expect_size=\"38620160\"] \n  30 -> 36 [size =\"38620160\"]\n  31 [size=\"87989760\", alpha=\"0.14\", expect_size=\"35195904\"] \n  31 -> 35 [size =\"35195904\"]\n  32 [size=\"104158720\", alpha=\"0.19\", expect_size=\"41663488\"] \n  33 [size=\"94241280\", alpha=\"0.20\", expect_size=\"37696512\"] \n  33 -> 36 [size =\"37696512\"]\n  34 [size=\"20006400\", alpha=\"0.10\", expect_size=\"8002560\"] \n  34 -> 37 [size =\"8002560\"]\n  35 [size=\"19860480\", alpha=\"0.10\", expect_size=\"7944192\"] \n  35 -> 39 [size =\"7944192\"]\n  36 [size=\"84876800\", alpha=\"0.14\", expect_size=\"33950720\"] \n  36 -> 40 [size =\"33950720\"]\n  36 -> 41 [size =\"33950720\"]\n  37 [size=\"86694400\", alpha=\"0.15\", expect_size=\"34677760\"] \n  37 -> 41 [size =\"34677760\"]\n  37 -> 42 [size =\"34677760\"]\n  38 [size=\"14474240\", alpha=\"0.17\", expect_size=\"5789696\"] \n  39 [size=\"104107520\", alpha=\"0.15\", expect_size=\"41643008\"] \n  39 -> 43 [size =\"41643008\"]\n  40 [size=\"69601280\", alpha=\"0.04\", expect_size=\"27840512\"] \n  40 -> 44 [size =\"27840512\"]\n  41 [size=\"82467840\", alpha=\"0.08\", expect_size=\"32987136\"] \n  41 -> 45 [size =\"32987136\"]\n  42 [size=\"45501440\", alpha=\"0.18\", expect_size=\"18200576\"] \n  43 [size=\"41600000\", alpha=\"0.10\", expect_size=\"16640000\"] \n  44 [size=\"40660480\", alpha=\"0.00\", expect_size=\"16264192\"] \n  45 [size=\"101447680\", alpha=\"0.16\", expect_size=\"40579072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91869867\", alpha=\"0.10\", expect_size=\"27560960\"] \n  1 -> 12 [size =\"27560960\"]\n  1 -> 13 [size =\"27560960\"]\n  1 -> 14 [size =\"27560960\"]\n  1 -> 16 [size =\"27560960\"]\n  1 -> 19 [size =\"27560960\"]\n  1 -> 21 [size =\"27560960\"]\n  1 -> 23 [size =\"27560960\"]\n  1 -> 25 [size =\"27560960\"]\n  2 [size=\"163420160\", alpha=\"0.20\", expect_size=\"49026048\"] \n  2 -> 13 [size =\"49026048\"]\n  2 -> 14 [size =\"49026048\"]\n  2 -> 14 [size =\"49026048\"]\n  2 -> 21 [size =\"49026048\"]\n  2 -> 22 [size =\"49026048\"]\n  3 [size=\"124532053\", alpha=\"0.04\", expect_size=\"37359616\"] \n  4 [size=\"37990400\", alpha=\"0.11\", expect_size=\"11397120\"] \n  4 -> 12 [size =\"11397120\"]\n  4 -> 15 [size =\"11397120\"]\n  4 -> 16 [size =\"11397120\"]\n  4 -> 25 [size =\"11397120\"]\n  5 [size=\"173632853\", alpha=\"0.05\", expect_size=\"52089856\"] \n  5 -> 12 [size =\"52089856\"]\n  5 -> 15 [size =\"52089856\"]\n  5 -> 21 [size =\"52089856\"]\n  6 [size=\"96266240\", alpha=\"0.17\", expect_size=\"28879872\"] \n  6 -> 12 [size =\"28879872\"]\n  6 -> 14 [size =\"28879872\"]\n  6 -> 16 [size =\"28879872\"]\n  6 -> 18 [size =\"28879872\"]\n  6 -> 19 [size =\"28879872\"]\n  6 -> 21 [size =\"28879872\"]\n  7 [size=\"142759253\", alpha=\"0.04\", expect_size=\"42827776\"] \n  7 -> 11 [size =\"42827776\"]\n  7 -> 14 [size =\"42827776\"]\n  7 -> 16 [size =\"42827776\"]\n  7 -> 18 [size =\"42827776\"]\n  7 -> 19 [size =\"42827776\"]\n  7 -> 23 [size =\"42827776\"]\n  8 [size=\"44076373\", alpha=\"0.09\", expect_size=\"13222912\"] \n  8 -> 12 [size =\"13222912\"]\n  8 -> 18 [size =\"13222912\"]\n  8 -> 19 [size =\"13222912\"]\n  9 [size=\"121763840\", alpha=\"0.19\", expect_size=\"36529152\"] \n  9 -> 19 [size =\"36529152\"]\n  9 -> 24 [size =\"36529152\"]\n  10 [size=\"129771520\", alpha=\"0.05\", expect_size=\"38931456\"] \n  10 -> 11 [size =\"38931456\"]\n  10 -> 16 [size =\"38931456\"]\n  10 -> 17 [size =\"38931456\"]\n  10 -> 20 [size =\"38931456\"]\n  10 -> 21 [size =\"38931456\"]\n  10 -> 24 [size =\"38931456\"]\n  10 -> 25 [size =\"38931456\"]\n  11 [size=\"105284267\", alpha=\"0.15\", expect_size=\"31585280\"] \n  11 -> 26 [size =\"31585280\"]\n  11 -> 27 [size =\"31585280\"]\n  11 -> 28 [size =\"31585280\"]\n  11 -> 30 [size =\"31585280\"]\n  11 -> 31 [size =\"31585280\"]\n  11 -> 32 [size =\"31585280\"]\n  12 [size=\"28900693\", alpha=\"0.14\", expect_size=\"8670208\"] \n  12 -> 28 [size =\"8670208\"]\n  12 -> 29 [size =\"8670208\"]\n  12 -> 32 [size =\"8670208\"]\n  12 -> 35 [size =\"8670208\"]\n  13 [size=\"27316907\", alpha=\"0.05\", expect_size=\"8195072\"] \n  13 -> 26 [size =\"8195072\"]\n  13 -> 29 [size =\"8195072\"]\n  13 -> 30 [size =\"8195072\"]\n  14 [size=\"57050453\", alpha=\"0.11\", expect_size=\"17115136\"] \n  14 -> 26 [size =\"17115136\"]\n  14 -> 27 [size =\"17115136\"]\n  14 -> 28 [size =\"17115136\"]\n  14 -> 30 [size =\"17115136\"]\n  14 -> 32 [size =\"17115136\"]\n  14 -> 37 [size =\"17115136\"]\n  15 [size=\"142789973\", alpha=\"0.16\", expect_size=\"42836992\"] \n  15 -> 27 [size =\"42836992\"]\n  15 -> 27 [size =\"42836992\"]\n  15 -> 28 [size =\"42836992\"]\n  15 -> 31 [size =\"42836992\"]\n  15 -> 32 [size =\"42836992\"]\n  15 -> 36 [size =\"42836992\"]\n  15 -> 37 [size =\"42836992\"]\n  16 [size=\"21391360\", alpha=\"0.15\", expect_size=\"6417408\"] \n  16 -> 27 [size =\"6417408\"]\n  16 -> 31 [size =\"6417408\"]\n  16 -> 36 [size =\"6417408\"]\n  16 -> 37 [size =\"6417408\"]\n  17 [size=\"157969067\", alpha=\"0.06\", expect_size=\"47390720\"] \n  17 -> 26 [size =\"47390720\"]\n  17 -> 30 [size =\"47390720\"]\n  17 -> 31 [size =\"47390720\"]\n  17 -> 32 [size =\"47390720\"]\n  17 -> 37 [size =\"47390720\"]\n  18 [size=\"28419413\", alpha=\"0.12\", expect_size=\"8525824\"] \n  18 -> 26 [size =\"8525824\"]\n  18 -> 28 [size =\"8525824\"]\n  18 -> 30 [size =\"8525824\"]\n  18 -> 33 [size =\"8525824\"]\n  19 [size=\"96651947\", alpha=\"0.06\", expect_size=\"28995584\"] \n  19 -> 26 [size =\"28995584\"]\n  19 -> 29 [size =\"28995584\"]\n  19 -> 30 [size =\"28995584\"]\n  20 [size=\"88132267\", alpha=\"0.13\", expect_size=\"26439680\"] \n  21 [size=\"126078293\", alpha=\"0.10\", expect_size=\"37823488\"] \n  21 -> 29 [size =\"37823488\"]\n  21 -> 34 [size =\"37823488\"]\n  21 -> 36 [size =\"37823488\"]\n  22 [size=\"87313067\", alpha=\"0.05\", expect_size=\"26193920\"] \n  22 -> 26 [size =\"26193920\"]\n  22 -> 27 [size =\"26193920\"]\n  22 -> 29 [size =\"26193920\"]\n  22 -> 36 [size =\"26193920\"]\n  22 -> 37 [size =\"26193920\"]\n  23 [size=\"40823467\", alpha=\"0.14\", expect_size=\"12247040\"] \n  23 -> 28 [size =\"12247040\"]\n  23 -> 29 [size =\"12247040\"]\n  23 -> 29 [size =\"12247040\"]\n  23 -> 36 [size =\"12247040\"]\n  23 -> 37 [size =\"12247040\"]\n  24 [size=\"76639573\", alpha=\"0.06\", expect_size=\"22991872\"] \n  24 -> 27 [size =\"22991872\"]\n  24 -> 30 [size =\"22991872\"]\n  24 -> 32 [size =\"22991872\"]\n  24 -> 35 [size =\"22991872\"]\n  24 -> 36 [size =\"22991872\"]\n  25 [size=\"165696853\", alpha=\"0.17\", expect_size=\"49709056\"] \n  25 -> 32 [size =\"49709056\"]\n  25 -> 36 [size =\"49709056\"]\n  25 -> 37 [size =\"49709056\"]\n  26 [size=\"136270507\", alpha=\"0.18\", expect_size=\"40881152\"] \n  26 -> 38 [size =\"40881152\"]\n  26 -> 42 [size =\"40881152\"]\n  26 -> 44 [size =\"40881152\"]\n  26 -> 45 [size =\"40881152\"]\n  27 [size=\"99979947\", alpha=\"0.16\", expect_size=\"29993984\"] \n  27 -> 38 [size =\"29993984\"]\n  27 -> 45 [size =\"29993984\"]\n  28 [size=\"149121707\", alpha=\"0.17\", expect_size=\"44736512\"] \n  28 -> 38 [size =\"44736512\"]\n  28 -> 40 [size =\"44736512\"]\n  28 -> 45 [size =\"44736512\"]\n  29 [size=\"87446187\", alpha=\"0.11\", expect_size=\"26233856\"] \n  29 -> 38 [size =\"26233856\"]\n  29 -> 44 [size =\"26233856\"]\n  30 [size=\"132608000\", alpha=\"0.19\", expect_size=\"39782400\"] \n  30 -> 39 [size =\"39782400\"]\n  30 -> 42 [size =\"39782400\"]\n  31 [size=\"77919573\", alpha=\"0.18\", expect_size=\"23375872\"] \n  31 -> 42 [size =\"23375872\"]\n  32 [size=\"155067733\", alpha=\"0.19\", expect_size=\"46520320\"] \n  32 -> 40 [size =\"46520320\"]\n  32 -> 41 [size =\"46520320\"]\n  32 -> 43 [size =\"46520320\"]\n  33 [size=\"38133760\", alpha=\"0.01\", expect_size=\"11440128\"] \n  34 [size=\"148753067\", alpha=\"0.08\", expect_size=\"44625920\"] \n  34 -> 38 [size =\"44625920\"]\n  34 -> 40 [size =\"44625920\"]\n  34 -> 43 [size =\"44625920\"]\n  34 -> 44 [size =\"44625920\"]\n  34 -> 45 [size =\"44625920\"]\n  35 [size=\"35584000\", alpha=\"0.12\", expect_size=\"10675200\"] \n  35 -> 38 [size =\"10675200\"]\n  35 -> 43 [size =\"10675200\"]\n  35 -> 45 [size =\"10675200\"]\n  36 [size=\"169355947\", alpha=\"0.15\", expect_size=\"50806784\"] \n  36 -> 42 [size =\"50806784\"]\n  36 -> 43 [size =\"50806784\"]\n  36 -> 44 [size =\"50806784\"]\n  37 [size=\"156999680\", alpha=\"0.17\", expect_size=\"47099904\"] \n  38 [size=\"123805013\", alpha=\"0.19\", expect_size=\"37141504\"] \n  39 [size=\"96372053\", alpha=\"0.12\", expect_size=\"28911616\"] \n  40 [size=\"21698560\", alpha=\"0.14\", expect_size=\"6509568\"] \n  41 [size=\"169376427\", alpha=\"0.10\", expect_size=\"50812928\"] \n  42 [size=\"155347627\", alpha=\"0.15\", expect_size=\"46604288\"] \n  43 [size=\"148333227\", alpha=\"0.02\", expect_size=\"44499968\"] \n  44 [size=\"158170453\", alpha=\"0.17\", expect_size=\"47451136\"] \n  45 [size=\"67150507\", alpha=\"0.11\", expect_size=\"20145152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51810304\", alpha=\"0.06\", expect_size=\"25905152\"] \n  1 -> 2 [size =\"25905152\"]\n  2 [size=\"78512128\", alpha=\"0.01\", expect_size=\"39256064\"] \n  2 -> 3 [size =\"39256064\"]\n  3 [size=\"89380864\", alpha=\"0.06\", expect_size=\"44690432\"] \n  3 -> 4 [size =\"44690432\"]\n  4 [size=\"89724928\", alpha=\"0.06\", expect_size=\"44862464\"] \n  4 -> 5 [size =\"44862464\"]\n  5 [size=\"44109824\", alpha=\"0.08\", expect_size=\"22054912\"] \n  5 -> 6 [size =\"22054912\"]\n  6 [size=\"80805888\", alpha=\"0.01\", expect_size=\"40402944\"] \n  6 -> 7 [size =\"40402944\"]\n  7 [size=\"45748224\", alpha=\"0.17\", expect_size=\"22874112\"] \n  7 -> 8 [size =\"22874112\"]\n  8 [size=\"17174528\", alpha=\"0.18\", expect_size=\"8587264\"] \n  8 -> 9 [size =\"8587264\"]\n  9 [size=\"63172608\", alpha=\"0.11\", expect_size=\"31586304\"] \n  9 -> 10 [size =\"31586304\"]\n  10 [size=\"75028480\", alpha=\"0.01\", expect_size=\"37514240\"] \n  10 -> 11 [size =\"37514240\"]\n  11 [size=\"96219136\", alpha=\"0.13\", expect_size=\"48109568\"] \n  11 -> 12 [size =\"48109568\"]\n  12 [size=\"28534784\", alpha=\"0.16\", expect_size=\"14267392\"] \n  12 -> 13 [size =\"14267392\"]\n  13 [size=\"35610624\", alpha=\"0.20\", expect_size=\"17805312\"] \n  13 -> 14 [size =\"17805312\"]\n  14 [size=\"63184896\", alpha=\"0.01\", expect_size=\"31592448\"] \n  14 -> 15 [size =\"31592448\"]\n  15 [size=\"89376768\", alpha=\"0.08\", expect_size=\"44688384\"] \n  15 -> 16 [size =\"44688384\"]\n  16 [size=\"31799296\", alpha=\"0.09\", expect_size=\"15899648\"] \n  16 -> 17 [size =\"15899648\"]\n  17 [size=\"37978112\", alpha=\"0.19\", expect_size=\"18989056\"] \n  17 -> 18 [size =\"18989056\"]\n  18 [size=\"22456320\", alpha=\"0.03\", expect_size=\"11228160\"] \n  18 -> 19 [size =\"11228160\"]\n  19 [size=\"13961216\", alpha=\"0.19\", expect_size=\"6980608\"] \n  19 -> 20 [size =\"6980608\"]\n  20 [size=\"65617920\", alpha=\"0.13\", expect_size=\"32808960\"] \n  20 -> 21 [size =\"32808960\"]\n  21 [size=\"70756352\", alpha=\"0.15\", expect_size=\"35378176\"] \n  21 -> 22 [size =\"35378176\"]\n  22 [size=\"38119424\", alpha=\"0.12\", expect_size=\"19059712\"] \n  22 -> 23 [size =\"19059712\"]\n  23 [size=\"20254720\", alpha=\"0.06\", expect_size=\"10127360\"] \n  23 -> 24 [size =\"10127360\"]\n  24 [size=\"19945472\", alpha=\"0.16\", expect_size=\"9972736\"] \n  24 -> 25 [size =\"9972736\"]\n  25 [size=\"24680448\", alpha=\"0.13\", expect_size=\"12340224\"] \n  25 -> 26 [size =\"12340224\"]\n  26 [size=\"62308352\", alpha=\"0.06\", expect_size=\"31154176\"] \n  26 -> 27 [size =\"31154176\"]\n  27 [size=\"12728320\", alpha=\"0.06\", expect_size=\"6364160\"] \n  27 -> 28 [size =\"6364160\"]\n  28 [size=\"103211008\", alpha=\"0.07\", expect_size=\"51605504\"] \n  28 -> 29 [size =\"51605504\"]\n  29 [size=\"24983552\", alpha=\"0.20\", expect_size=\"12491776\"] \n  29 -> 30 [size =\"12491776\"]\n  30 [size=\"19742720\", alpha=\"0.06\", expect_size=\"9871360\"] \n  30 -> 31 [size =\"9871360\"]\n  31 [size=\"79179776\", alpha=\"0.10\", expect_size=\"39589888\"] \n  31 -> 32 [size =\"39589888\"]\n  32 [size=\"55879680\", alpha=\"0.18\", expect_size=\"27939840\"] \n  32 -> 33 [size =\"27939840\"]\n  33 [size=\"17868800\", alpha=\"0.12\", expect_size=\"8934400\"] \n  33 -> 34 [size =\"8934400\"]\n  34 [size=\"44042240\", alpha=\"0.16\", expect_size=\"22021120\"] \n  34 -> 35 [size =\"22021120\"]\n  35 [size=\"24897536\", alpha=\"0.18\", expect_size=\"12448768\"] \n  35 -> 36 [size =\"12448768\"]\n  36 [size=\"88434688\", alpha=\"0.04\", expect_size=\"44217344\"] \n  36 -> 37 [size =\"44217344\"]\n  37 [size=\"21856256\", alpha=\"0.15\", expect_size=\"10928128\"] \n  37 -> 38 [size =\"10928128\"]\n  38 [size=\"49170432\", alpha=\"0.10\", expect_size=\"24585216\"] \n  38 -> 39 [size =\"24585216\"]\n  39 [size=\"82694144\", alpha=\"0.05\", expect_size=\"41347072\"] \n  39 -> 40 [size =\"41347072\"]\n  40 [size=\"80746496\", alpha=\"0.11\", expect_size=\"40373248\"] \n  40 -> 41 [size =\"40373248\"]\n  41 [size=\"13496320\", alpha=\"0.11\", expect_size=\"6748160\"] \n  41 -> 42 [size =\"6748160\"]\n  42 [size=\"61052928\", alpha=\"0.16\", expect_size=\"30526464\"] \n  42 -> 43 [size =\"30526464\"]\n  43 [size=\"52719616\", alpha=\"0.03\", expect_size=\"26359808\"] \n  43 -> 44 [size =\"26359808\"]\n  44 [size=\"13627392\", alpha=\"0.13\", expect_size=\"6813696\"] \n  44 -> 45 [size =\"6813696\"]\n  45 [size=\"90847232\", alpha=\"0.05\", expect_size=\"45423616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100644864\", alpha=\"0.13\", expect_size=\"50322432\"] \n  1 -> 7 [size =\"50322432\"]\n  1 -> 8 [size =\"50322432\"]\n  1 -> 10 [size =\"50322432\"]\n  2 [size=\"28252160\", alpha=\"0.04\", expect_size=\"14126080\"] \n  2 -> 7 [size =\"14126080\"]\n  2 -> 8 [size =\"14126080\"]\n  2 -> 11 [size =\"14126080\"]\n  3 [size=\"60059648\", alpha=\"0.09\", expect_size=\"30029824\"] \n  3 -> 7 [size =\"30029824\"]\n  4 [size=\"88897536\", alpha=\"0.13\", expect_size=\"44448768\"] \n  4 -> 7 [size =\"44448768\"]\n  4 -> 8 [size =\"44448768\"]\n  4 -> 9 [size =\"44448768\"]\n  5 [size=\"84391936\", alpha=\"0.13\", expect_size=\"42195968\"] \n  5 -> 7 [size =\"42195968\"]\n  5 -> 8 [size =\"42195968\"]\n  5 -> 10 [size =\"42195968\"]\n  6 [size=\"36325376\", alpha=\"0.20\", expect_size=\"18162688\"] \n  7 [size=\"54814720\", alpha=\"0.17\", expect_size=\"27407360\"] \n  7 -> 13 [size =\"27407360\"]\n  7 -> 15 [size =\"27407360\"]\n  7 -> 17 [size =\"27407360\"]\n  8 [size=\"63039488\", alpha=\"0.13\", expect_size=\"31519744\"] \n  8 -> 13 [size =\"31519744\"]\n  8 -> 14 [size =\"31519744\"]\n  9 [size=\"70027264\", alpha=\"0.17\", expect_size=\"35013632\"] \n  9 -> 12 [size =\"35013632\"]\n  9 -> 14 [size =\"35013632\"]\n  10 [size=\"65001472\", alpha=\"0.08\", expect_size=\"32500736\"] \n  10 -> 12 [size =\"32500736\"]\n  10 -> 13 [size =\"32500736\"]\n  10 -> 14 [size =\"32500736\"]\n  10 -> 17 [size =\"32500736\"]\n  11 [size=\"54833152\", alpha=\"0.03\", expect_size=\"27416576\"] \n  11 -> 16 [size =\"27416576\"]\n  12 [size=\"23846912\", alpha=\"0.17\", expect_size=\"11923456\"] \n  12 -> 18 [size =\"11923456\"]\n  12 -> 20 [size =\"11923456\"]\n  12 -> 22 [size =\"11923456\"]\n  13 [size=\"44605440\", alpha=\"0.08\", expect_size=\"22302720\"] \n  13 -> 21 [size =\"22302720\"]\n  14 [size=\"86368256\", alpha=\"0.17\", expect_size=\"43184128\"] \n  14 -> 18 [size =\"43184128\"]\n  14 -> 21 [size =\"43184128\"]\n  15 [size=\"52514816\", alpha=\"0.00\", expect_size=\"26257408\"] \n  15 -> 18 [size =\"26257408\"]\n  15 -> 22 [size =\"26257408\"]\n  16 [size=\"19800064\", alpha=\"0.07\", expect_size=\"9900032\"] \n  16 -> 19 [size =\"9900032\"]\n  16 -> 21 [size =\"9900032\"]\n  17 [size=\"17963008\", alpha=\"0.02\", expect_size=\"8981504\"] \n  17 -> 18 [size =\"8981504\"]\n  17 -> 20 [size =\"8981504\"]\n  17 -> 21 [size =\"8981504\"]\n  18 [size=\"97349632\", alpha=\"0.02\", expect_size=\"48674816\"] \n  18 -> 28 [size =\"48674816\"]\n  19 [size=\"62400512\", alpha=\"0.18\", expect_size=\"31200256\"] \n  19 -> 24 [size =\"31200256\"]\n  19 -> 28 [size =\"31200256\"]\n  20 [size=\"50552832\", alpha=\"0.19\", expect_size=\"25276416\"] \n  20 -> 23 [size =\"25276416\"]\n  20 -> 25 [size =\"25276416\"]\n  20 -> 26 [size =\"25276416\"]\n  20 -> 28 [size =\"25276416\"]\n  21 [size=\"89503744\", alpha=\"0.20\", expect_size=\"44751872\"] \n  21 -> 24 [size =\"44751872\"]\n  21 -> 26 [size =\"44751872\"]\n  21 -> 27 [size =\"44751872\"]\n  22 [size=\"104517632\", alpha=\"0.04\", expect_size=\"52258816\"] \n  22 -> 23 [size =\"52258816\"]\n  22 -> 27 [size =\"52258816\"]\n  22 -> 28 [size =\"52258816\"]\n  23 [size=\"90173440\", alpha=\"0.19\", expect_size=\"45086720\"] \n  23 -> 29 [size =\"45086720\"]\n  23 -> 30 [size =\"45086720\"]\n  23 -> 32 [size =\"45086720\"]\n  24 [size=\"31614976\", alpha=\"0.10\", expect_size=\"15807488\"] \n  24 -> 29 [size =\"15807488\"]\n  24 -> 30 [size =\"15807488\"]\n  24 -> 32 [size =\"15807488\"]\n  24 -> 33 [size =\"15807488\"]\n  25 [size=\"17076224\", alpha=\"0.17\", expect_size=\"8538112\"] \n  25 -> 31 [size =\"8538112\"]\n  25 -> 32 [size =\"8538112\"]\n  26 [size=\"18143232\", alpha=\"0.10\", expect_size=\"9071616\"] \n  26 -> 29 [size =\"9071616\"]\n  26 -> 31 [size =\"9071616\"]\n  26 -> 32 [size =\"9071616\"]\n  27 [size=\"53088256\", alpha=\"0.12\", expect_size=\"26544128\"] \n  27 -> 29 [size =\"26544128\"]\n  27 -> 30 [size =\"26544128\"]\n  27 -> 31 [size =\"26544128\"]\n  28 [size=\"62011392\", alpha=\"0.05\", expect_size=\"31005696\"] \n  28 -> 29 [size =\"31005696\"]\n  28 -> 30 [size =\"31005696\"]\n  28 -> 31 [size =\"31005696\"]\n  28 -> 33 [size =\"31005696\"]\n  29 [size=\"71354368\", alpha=\"0.11\", expect_size=\"35677184\"] \n  29 -> 34 [size =\"35677184\"]\n  29 -> 38 [size =\"35677184\"]\n  30 [size=\"61700096\", alpha=\"0.08\", expect_size=\"30850048\"] \n  30 -> 34 [size =\"30850048\"]\n  30 -> 36 [size =\"30850048\"]\n  30 -> 39 [size =\"30850048\"]\n  31 [size=\"58626048\", alpha=\"0.14\", expect_size=\"29313024\"] \n  31 -> 34 [size =\"29313024\"]\n  31 -> 35 [size =\"29313024\"]\n  31 -> 36 [size =\"29313024\"]\n  31 -> 37 [size =\"29313024\"]\n  31 -> 38 [size =\"29313024\"]\n  31 -> 39 [size =\"29313024\"]\n  32 [size=\"57917440\", alpha=\"0.04\", expect_size=\"28958720\"] \n  32 -> 35 [size =\"28958720\"]\n  32 -> 38 [size =\"28958720\"]\n  32 -> 39 [size =\"28958720\"]\n  33 [size=\"77342720\", alpha=\"0.01\", expect_size=\"38671360\"] \n  33 -> 35 [size =\"38671360\"]\n  33 -> 38 [size =\"38671360\"]\n  33 -> 39 [size =\"38671360\"]\n  34 [size=\"72103936\", alpha=\"0.13\", expect_size=\"36051968\"] \n  34 -> 40 [size =\"36051968\"]\n  34 -> 44 [size =\"36051968\"]\n  35 [size=\"26243072\", alpha=\"0.15\", expect_size=\"13121536\"] \n  35 -> 41 [size =\"13121536\"]\n  35 -> 42 [size =\"13121536\"]\n  35 -> 44 [size =\"13121536\"]\n  35 -> 45 [size =\"13121536\"]\n  36 [size=\"13666304\", alpha=\"0.19\", expect_size=\"6833152\"] \n  36 -> 40 [size =\"6833152\"]\n  36 -> 41 [size =\"6833152\"]\n  36 -> 42 [size =\"6833152\"]\n  36 -> 43 [size =\"6833152\"]\n  37 [size=\"60213248\", alpha=\"0.04\", expect_size=\"30106624\"] \n  37 -> 40 [size =\"30106624\"]\n  37 -> 42 [size =\"30106624\"]\n  37 -> 43 [size =\"30106624\"]\n  37 -> 45 [size =\"30106624\"]\n  38 [size=\"21471232\", alpha=\"0.08\", expect_size=\"10735616\"] \n  38 -> 40 [size =\"10735616\"]\n  38 -> 41 [size =\"10735616\"]\n  38 -> 42 [size =\"10735616\"]\n  38 -> 44 [size =\"10735616\"]\n  39 [size=\"44365824\", alpha=\"0.02\", expect_size=\"22182912\"] \n  39 -> 41 [size =\"22182912\"]\n  39 -> 44 [size =\"22182912\"]\n  40 [size=\"94070784\", alpha=\"0.05\", expect_size=\"47035392\"] \n  41 [size=\"36358144\", alpha=\"0.05\", expect_size=\"18179072\"] \n  42 [size=\"104316928\", alpha=\"0.05\", expect_size=\"52158464\"] \n  43 [size=\"28196864\", alpha=\"0.02\", expect_size=\"14098432\"] \n  44 [size=\"30863360\", alpha=\"0.03\", expect_size=\"15431680\"] \n  45 [size=\"93825024\", alpha=\"0.06\", expect_size=\"46912512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119708160\", alpha=\"0.10\", expect_size=\"47883264\"] \n  1 -> 7 [size =\"47883264\"]\n  1 -> 11 [size =\"47883264\"]\n  2 [size=\"128378880\", alpha=\"0.10\", expect_size=\"51351552\"] \n  2 -> 6 [size =\"51351552\"]\n  2 -> 9 [size =\"51351552\"]\n  3 [size=\"64263680\", alpha=\"0.17\", expect_size=\"25705472\"] \n  3 -> 6 [size =\"25705472\"]\n  4 [size=\"111331840\", alpha=\"0.08\", expect_size=\"44532736\"] \n  4 -> 6 [size =\"44532736\"]\n  4 -> 8 [size =\"44532736\"]\n  4 -> 10 [size =\"44532736\"]\n  4 -> 11 [size =\"44532736\"]\n  5 [size=\"42580480\", alpha=\"0.20\", expect_size=\"17032192\"] \n  5 -> 6 [size =\"17032192\"]\n  5 -> 7 [size =\"17032192\"]\n  5 -> 8 [size =\"17032192\"]\n  5 -> 11 [size =\"17032192\"]\n  6 [size=\"106275840\", alpha=\"0.07\", expect_size=\"42510336\"] \n  6 -> 12 [size =\"42510336\"]\n  7 [size=\"81725440\", alpha=\"0.13\", expect_size=\"32690176\"] \n  7 -> 12 [size =\"32690176\"]\n  7 -> 15 [size =\"32690176\"]\n  8 [size=\"95298560\", alpha=\"0.11\", expect_size=\"38119424\"] \n  8 -> 12 [size =\"38119424\"]\n  8 -> 15 [size =\"38119424\"]\n  9 [size=\"23608320\", alpha=\"0.17\", expect_size=\"9443328\"] \n  9 -> 14 [size =\"9443328\"]\n  10 [size=\"106667520\", alpha=\"0.17\", expect_size=\"42667008\"] \n  10 -> 15 [size =\"42667008\"]\n  10 -> 16 [size =\"42667008\"]\n  11 [size=\"54325760\", alpha=\"0.10\", expect_size=\"21730304\"] \n  11 -> 12 [size =\"21730304\"]\n  11 -> 13 [size =\"21730304\"]\n  11 -> 15 [size =\"21730304\"]\n  12 [size=\"113341440\", alpha=\"0.16\", expect_size=\"45336576\"] \n  12 -> 17 [size =\"45336576\"]\n  12 -> 19 [size =\"45336576\"]\n  13 [size=\"53726720\", alpha=\"0.12\", expect_size=\"21490688\"] \n  13 -> 18 [size =\"21490688\"]\n  13 -> 21 [size =\"21490688\"]\n  13 -> 22 [size =\"21490688\"]\n  14 [size=\"35215360\", alpha=\"0.11\", expect_size=\"14086144\"] \n  14 -> 18 [size =\"14086144\"]\n  14 -> 22 [size =\"14086144\"]\n  15 [size=\"83415040\", alpha=\"0.02\", expect_size=\"33366016\"] \n  15 -> 17 [size =\"33366016\"]\n  15 -> 18 [size =\"33366016\"]\n  15 -> 20 [size =\"33366016\"]\n  16 [size=\"82618880\", alpha=\"0.00\", expect_size=\"33047552\"] \n  16 -> 21 [size =\"33047552\"]\n  17 [size=\"125355520\", alpha=\"0.10\", expect_size=\"50142208\"] \n  17 -> 25 [size =\"50142208\"]\n  18 [size=\"84364800\", alpha=\"0.10\", expect_size=\"33745920\"] \n  18 -> 23 [size =\"33745920\"]\n  18 -> 27 [size =\"33745920\"]\n  19 [size=\"30881280\", alpha=\"0.07\", expect_size=\"12352512\"] \n  19 -> 25 [size =\"12352512\"]\n  19 -> 26 [size =\"12352512\"]\n  20 [size=\"13667840\", alpha=\"0.09\", expect_size=\"5467136\"] \n  20 -> 23 [size =\"5467136\"]\n  20 -> 26 [size =\"5467136\"]\n  21 [size=\"111285760\", alpha=\"0.10\", expect_size=\"44514304\"] \n  21 -> 23 [size =\"44514304\"]\n  21 -> 26 [size =\"44514304\"]\n  22 [size=\"53176320\", alpha=\"0.10\", expect_size=\"21270528\"] \n  22 -> 24 [size =\"21270528\"]\n  22 -> 26 [size =\"21270528\"]\n  23 [size=\"31705600\", alpha=\"0.18\", expect_size=\"12682240\"] \n  23 -> 32 [size =\"12682240\"]\n  23 -> 33 [size =\"12682240\"]\n  24 [size=\"103439360\", alpha=\"0.04\", expect_size=\"41375744\"] \n  24 -> 28 [size =\"41375744\"]\n  24 -> 30 [size =\"41375744\"]\n  24 -> 31 [size =\"41375744\"]\n  24 -> 33 [size =\"41375744\"]\n  25 [size=\"50844160\", alpha=\"0.14\", expect_size=\"20337664\"] \n  25 -> 28 [size =\"20337664\"]\n  25 -> 29 [size =\"20337664\"]\n  26 [size=\"61496320\", alpha=\"0.00\", expect_size=\"24598528\"] \n  26 -> 31 [size =\"24598528\"]\n  27 [size=\"61713920\", alpha=\"0.18\", expect_size=\"24685568\"] \n  27 -> 29 [size =\"24685568\"]\n  28 [size=\"120079360\", alpha=\"0.10\", expect_size=\"48031744\"] \n  28 -> 36 [size =\"48031744\"]\n  28 -> 37 [size =\"48031744\"]\n  29 [size=\"59435520\", alpha=\"0.03\", expect_size=\"23774208\"] \n  29 -> 35 [size =\"23774208\"]\n  29 -> 37 [size =\"23774208\"]\n  30 [size=\"101155840\", alpha=\"0.12\", expect_size=\"40462336\"] \n  30 -> 35 [size =\"40462336\"]\n  30 -> 38 [size =\"40462336\"]\n  31 [size=\"38835200\", alpha=\"0.09\", expect_size=\"15534080\"] \n  31 -> 36 [size =\"15534080\"]\n  31 -> 38 [size =\"15534080\"]\n  32 [size=\"97041920\", alpha=\"0.02\", expect_size=\"38816768\"] \n  32 -> 34 [size =\"38816768\"]\n  32 -> 36 [size =\"38816768\"]\n  32 -> 38 [size =\"38816768\"]\n  33 [size=\"37153280\", alpha=\"0.02\", expect_size=\"14861312\"] \n  33 -> 34 [size =\"14861312\"]\n  33 -> 35 [size =\"14861312\"]\n  33 -> 36 [size =\"14861312\"]\n  33 -> 38 [size =\"14861312\"]\n  34 [size=\"28293120\", alpha=\"0.06\", expect_size=\"11317248\"] \n  34 -> 39 [size =\"11317248\"]\n  34 -> 40 [size =\"11317248\"]\n  34 -> 41 [size =\"11317248\"]\n  34 -> 43 [size =\"11317248\"]\n  35 [size=\"50721280\", alpha=\"0.02\", expect_size=\"20288512\"] \n  35 -> 40 [size =\"20288512\"]\n  35 -> 42 [size =\"20288512\"]\n  35 -> 43 [size =\"20288512\"]\n  35 -> 44 [size =\"20288512\"]\n  36 [size=\"15946240\", alpha=\"0.10\", expect_size=\"6378496\"] \n  36 -> 40 [size =\"6378496\"]\n  36 -> 41 [size =\"6378496\"]\n  36 -> 43 [size =\"6378496\"]\n  36 -> 44 [size =\"6378496\"]\n  37 [size=\"17139200\", alpha=\"0.16\", expect_size=\"6855680\"] \n  37 -> 39 [size =\"6855680\"]\n  37 -> 41 [size =\"6855680\"]\n  37 -> 43 [size =\"6855680\"]\n  37 -> 44 [size =\"6855680\"]\n  38 [size=\"122923520\", alpha=\"0.15\", expect_size=\"49169408\"] \n  38 -> 39 [size =\"49169408\"]\n  38 -> 40 [size =\"49169408\"]\n  38 -> 41 [size =\"49169408\"]\n  39 [size=\"61591040\", alpha=\"0.17\", expect_size=\"24636416\"] \n  39 -> 45 [size =\"24636416\"]\n  40 [size=\"79575040\", alpha=\"0.19\", expect_size=\"31830016\"] \n  40 -> 45 [size =\"31830016\"]\n  41 [size=\"34511360\", alpha=\"0.17\", expect_size=\"13804544\"] \n  42 [size=\"85580800\", alpha=\"0.02\", expect_size=\"34232320\"] \n  43 [size=\"97093120\", alpha=\"0.11\", expect_size=\"38837248\"] \n  44 [size=\"109665280\", alpha=\"0.15\", expect_size=\"43866112\"] \n  44 -> 45 [size =\"43866112\"]\n  45 [size=\"27440640\", alpha=\"0.05\", expect_size=\"10976256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36239360\", alpha=\"0.06\", expect_size=\"14495744\"] \n  1 -> 8 [size =\"14495744\"]\n  1 -> 9 [size =\"14495744\"]\n  1 -> 10 [size =\"14495744\"]\n  1 -> 12 [size =\"14495744\"]\n  1 -> 14 [size =\"14495744\"]\n  2 [size=\"120576000\", alpha=\"0.07\", expect_size=\"48230400\"] \n  2 -> 8 [size =\"48230400\"]\n  2 -> 14 [size =\"48230400\"]\n  3 [size=\"30786560\", alpha=\"0.14\", expect_size=\"12314624\"] \n  3 -> 8 [size =\"12314624\"]\n  3 -> 9 [size =\"12314624\"]\n  3 -> 11 [size =\"12314624\"]\n  3 -> 13 [size =\"12314624\"]\n  3 -> 14 [size =\"12314624\"]\n  4 [size=\"44474880\", alpha=\"0.07\", expect_size=\"17789952\"] \n  4 -> 8 [size =\"17789952\"]\n  4 -> 9 [size =\"17789952\"]\n  4 -> 10 [size =\"17789952\"]\n  4 -> 11 [size =\"17789952\"]\n  4 -> 13 [size =\"17789952\"]\n  4 -> 14 [size =\"17789952\"]\n  5 [size=\"64721920\", alpha=\"0.05\", expect_size=\"25888768\"] \n  5 -> 8 [size =\"25888768\"]\n  5 -> 9 [size =\"25888768\"]\n  5 -> 11 [size =\"25888768\"]\n  5 -> 11 [size =\"25888768\"]\n  5 -> 13 [size =\"25888768\"]\n  5 -> 14 [size =\"25888768\"]\n  6 [size=\"56227840\", alpha=\"0.09\", expect_size=\"22491136\"] \n  6 -> 8 [size =\"22491136\"]\n  6 -> 9 [size =\"22491136\"]\n  6 -> 11 [size =\"22491136\"]\n  6 -> 12 [size =\"22491136\"]\n  6 -> 13 [size =\"22491136\"]\n  6 -> 14 [size =\"22491136\"]\n  7 [size=\"33500160\", alpha=\"0.19\", expect_size=\"13400064\"] \n  7 -> 8 [size =\"13400064\"]\n  7 -> 9 [size =\"13400064\"]\n  7 -> 10 [size =\"13400064\"]\n  7 -> 11 [size =\"13400064\"]\n  7 -> 14 [size =\"13400064\"]\n  8 [size=\"117783040\", alpha=\"0.08\", expect_size=\"47113216\"] \n  8 -> 15 [size =\"47113216\"]\n  8 -> 19 [size =\"47113216\"]\n  9 [size=\"119697920\", alpha=\"0.11\", expect_size=\"47879168\"] \n  10 [size=\"116357120\", alpha=\"0.15\", expect_size=\"46542848\"] \n  10 -> 17 [size =\"46542848\"]\n  10 -> 19 [size =\"46542848\"]\n  11 [size=\"65902080\", alpha=\"0.11\", expect_size=\"26360832\"] \n  11 -> 17 [size =\"26360832\"]\n  11 -> 18 [size =\"26360832\"]\n  12 [size=\"98810880\", alpha=\"0.11\", expect_size=\"39524352\"] \n  12 -> 17 [size =\"39524352\"]\n  12 -> 19 [size =\"39524352\"]\n  13 [size=\"22364160\", alpha=\"0.18\", expect_size=\"8945664\"] \n  13 -> 16 [size =\"8945664\"]\n  13 -> 18 [size =\"8945664\"]\n  13 -> 19 [size =\"8945664\"]\n  14 [size=\"107059200\", alpha=\"0.09\", expect_size=\"42823680\"] \n  14 -> 16 [size =\"42823680\"]\n  14 -> 18 [size =\"42823680\"]\n  15 [size=\"31203840\", alpha=\"0.14\", expect_size=\"12481536\"] \n  15 -> 21 [size =\"12481536\"]\n  16 [size=\"60377600\", alpha=\"0.09\", expect_size=\"24151040\"] \n  16 -> 20 [size =\"24151040\"]\n  16 -> 21 [size =\"24151040\"]\n  17 [size=\"115873280\", alpha=\"0.14\", expect_size=\"46349312\"] \n  17 -> 21 [size =\"46349312\"]\n  17 -> 22 [size =\"46349312\"]\n  18 [size=\"107123200\", alpha=\"0.14\", expect_size=\"42849280\"] \n  18 -> 22 [size =\"42849280\"]\n  19 [size=\"38978560\", alpha=\"0.18\", expect_size=\"15591424\"] \n  20 [size=\"105830400\", alpha=\"0.02\", expect_size=\"42332160\"] \n  20 -> 24 [size =\"42332160\"]\n  20 -> 25 [size =\"42332160\"]\n  20 -> 26 [size =\"42332160\"]\n  21 [size=\"74237440\", alpha=\"0.10\", expect_size=\"29694976\"] \n  21 -> 24 [size =\"29694976\"]\n  21 -> 25 [size =\"29694976\"]\n  21 -> 26 [size =\"29694976\"]\n  22 [size=\"21621760\", alpha=\"0.17\", expect_size=\"8648704\"] \n  22 -> 23 [size =\"8648704\"]\n  22 -> 24 [size =\"8648704\"]\n  22 -> 25 [size =\"8648704\"]\n  22 -> 26 [size =\"8648704\"]\n  23 [size=\"84014080\", alpha=\"0.07\", expect_size=\"33605632\"] \n  23 -> 27 [size =\"33605632\"]\n  23 -> 28 [size =\"33605632\"]\n  23 -> 29 [size =\"33605632\"]\n  24 [size=\"71846400\", alpha=\"0.02\", expect_size=\"28738560\"] \n  24 -> 27 [size =\"28738560\"]\n  24 -> 28 [size =\"28738560\"]\n  24 -> 29 [size =\"28738560\"]\n  25 [size=\"124413440\", alpha=\"0.05\", expect_size=\"49765376\"] \n  25 -> 27 [size =\"49765376\"]\n  25 -> 28 [size =\"49765376\"]\n  26 [size=\"86128640\", alpha=\"0.16\", expect_size=\"34451456\"] \n  26 -> 27 [size =\"34451456\"]\n  26 -> 28 [size =\"34451456\"]\n  26 -> 29 [size =\"34451456\"]\n  27 [size=\"21281280\", alpha=\"0.11\", expect_size=\"8512512\"] \n  27 -> 30 [size =\"8512512\"]\n  27 -> 31 [size =\"8512512\"]\n  27 -> 33 [size =\"8512512\"]\n  27 -> 34 [size =\"8512512\"]\n  27 -> 35 [size =\"8512512\"]\n  28 [size=\"106449920\", alpha=\"0.03\", expect_size=\"42579968\"] \n  28 -> 30 [size =\"42579968\"]\n  28 -> 31 [size =\"42579968\"]\n  28 -> 34 [size =\"42579968\"]\n  28 -> 35 [size =\"42579968\"]\n  28 -> 37 [size =\"42579968\"]\n  29 [size=\"72488960\", alpha=\"0.13\", expect_size=\"28995584\"] \n  29 -> 30 [size =\"28995584\"]\n  29 -> 31 [size =\"28995584\"]\n  29 -> 32 [size =\"28995584\"]\n  29 -> 33 [size =\"28995584\"]\n  29 -> 34 [size =\"28995584\"]\n  29 -> 35 [size =\"28995584\"]\n  29 -> 36 [size =\"28995584\"]\n  30 [size=\"57820160\", alpha=\"0.01\", expect_size=\"23128064\"] \n  30 -> 40 [size =\"23128064\"]\n  31 [size=\"69649920\", alpha=\"0.18\", expect_size=\"27859968\"] \n  31 -> 38 [size =\"27859968\"]\n  31 -> 39 [size =\"27859968\"]\n  32 [size=\"13148160\", alpha=\"0.09\", expect_size=\"5259264\"] \n  33 [size=\"113745920\", alpha=\"0.02\", expect_size=\"45498368\"] \n  33 -> 40 [size =\"45498368\"]\n  34 [size=\"35228160\", alpha=\"0.11\", expect_size=\"14091264\"] \n  34 -> 38 [size =\"14091264\"]\n  34 -> 39 [size =\"14091264\"]\n  34 -> 40 [size =\"14091264\"]\n  35 [size=\"44897280\", alpha=\"0.03\", expect_size=\"17958912\"] \n  35 -> 39 [size =\"17958912\"]\n  36 [size=\"76400640\", alpha=\"0.02\", expect_size=\"30560256\"] \n  36 -> 38 [size =\"30560256\"]\n  36 -> 39 [size =\"30560256\"]\n  36 -> 40 [size =\"30560256\"]\n  37 [size=\"54896640\", alpha=\"0.20\", expect_size=\"21958656\"] \n  37 -> 38 [size =\"21958656\"]\n  38 [size=\"118745600\", alpha=\"0.13\", expect_size=\"47498240\"] \n  38 -> 42 [size =\"47498240\"]\n  39 [size=\"18731520\", alpha=\"0.11\", expect_size=\"7492608\"] \n  39 -> 41 [size =\"7492608\"]\n  39 -> 42 [size =\"7492608\"]\n  40 [size=\"97372160\", alpha=\"0.04\", expect_size=\"38948864\"] \n  40 -> 41 [size =\"38948864\"]\n  40 -> 42 [size =\"38948864\"]\n  40 -> 43 [size =\"38948864\"]\n  41 [size=\"104030720\", alpha=\"0.08\", expect_size=\"41612288\"] \n  41 -> 44 [size =\"41612288\"]\n  41 -> 45 [size =\"41612288\"]\n  42 [size=\"91499520\", alpha=\"0.13\", expect_size=\"36599808\"] \n  42 -> 44 [size =\"36599808\"]\n  42 -> 45 [size =\"36599808\"]\n  43 [size=\"27522560\", alpha=\"0.10\", expect_size=\"11009024\"] \n  43 -> 44 [size =\"11009024\"]\n  43 -> 45 [size =\"11009024\"]\n  44 [size=\"39319040\", alpha=\"0.17\", expect_size=\"15727616\"] \n  45 [size=\"102881280\", alpha=\"0.03\", expect_size=\"41152512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23927467\", alpha=\"0.04\", expect_size=\"7178240\"] \n  1 -> 18 [size =\"7178240\"]\n  1 -> 19 [size =\"7178240\"]\n  1 -> 20 [size =\"7178240\"]\n  1 -> 21 [size =\"7178240\"]\n  1 -> 22 [size =\"7178240\"]\n  1 -> 26 [size =\"7178240\"]\n  1 -> 27 [size =\"7178240\"]\n  2 [size=\"119811413\", alpha=\"0.05\", expect_size=\"35943424\"] \n  2 -> 18 [size =\"35943424\"]\n  2 -> 19 [size =\"35943424\"]\n  2 -> 21 [size =\"35943424\"]\n  2 -> 22 [size =\"35943424\"]\n  2 -> 27 [size =\"35943424\"]\n  3 [size=\"129860267\", alpha=\"0.02\", expect_size=\"38958080\"] \n  3 -> 19 [size =\"38958080\"]\n  3 -> 20 [size =\"38958080\"]\n  3 -> 23 [size =\"38958080\"]\n  3 -> 25 [size =\"38958080\"]\n  3 -> 27 [size =\"38958080\"]\n  4 [size=\"19684693\", alpha=\"0.05\", expect_size=\"5905408\"] \n  4 -> 18 [size =\"5905408\"]\n  4 -> 20 [size =\"5905408\"]\n  4 -> 21 [size =\"5905408\"]\n  4 -> 25 [size =\"5905408\"]\n  4 -> 27 [size =\"5905408\"]\n  5 [size=\"98088960\", alpha=\"0.02\", expect_size=\"29426688\"] \n  5 -> 21 [size =\"29426688\"]\n  5 -> 25 [size =\"29426688\"]\n  6 [size=\"110120960\", alpha=\"0.09\", expect_size=\"33036288\"] \n  6 -> 21 [size =\"33036288\"]\n  6 -> 23 [size =\"33036288\"]\n  6 -> 26 [size =\"33036288\"]\n  7 [size=\"71352320\", alpha=\"0.14\", expect_size=\"21405696\"] \n  7 -> 24 [size =\"21405696\"]\n  7 -> 27 [size =\"21405696\"]\n  8 [size=\"68348587\", alpha=\"0.07\", expect_size=\"20504576\"] \n  8 -> 19 [size =\"20504576\"]\n  8 -> 22 [size =\"20504576\"]\n  8 -> 25 [size =\"20504576\"]\n  9 [size=\"152279040\", alpha=\"0.13\", expect_size=\"45683712\"] \n  9 -> 19 [size =\"45683712\"]\n  9 -> 21 [size =\"45683712\"]\n  9 -> 25 [size =\"45683712\"]\n  9 -> 26 [size =\"45683712\"]\n  10 [size=\"141414400\", alpha=\"0.05\", expect_size=\"42424320\"] \n  10 -> 19 [size =\"42424320\"]\n  10 -> 20 [size =\"42424320\"]\n  10 -> 22 [size =\"42424320\"]\n  10 -> 25 [size =\"42424320\"]\n  11 [size=\"87306240\", alpha=\"0.17\", expect_size=\"26191872\"] \n  11 -> 18 [size =\"26191872\"]\n  11 -> 19 [size =\"26191872\"]\n  11 -> 20 [size =\"26191872\"]\n  11 -> 21 [size =\"26191872\"]\n  11 -> 22 [size =\"26191872\"]\n  11 -> 23 [size =\"26191872\"]\n  11 -> 26 [size =\"26191872\"]\n  12 [size=\"117681493\", alpha=\"0.12\", expect_size=\"35304448\"] \n  12 -> 18 [size =\"35304448\"]\n  12 -> 19 [size =\"35304448\"]\n  12 -> 20 [size =\"35304448\"]\n  12 -> 21 [size =\"35304448\"]\n  12 -> 22 [size =\"35304448\"]\n  12 -> 23 [size =\"35304448\"]\n  12 -> 27 [size =\"35304448\"]\n  13 [size=\"155559253\", alpha=\"0.15\", expect_size=\"46667776\"] \n  13 -> 18 [size =\"46667776\"]\n  13 -> 19 [size =\"46667776\"]\n  13 -> 20 [size =\"46667776\"]\n  13 -> 22 [size =\"46667776\"]\n  13 -> 23 [size =\"46667776\"]\n  13 -> 27 [size =\"46667776\"]\n  14 [size=\"168219307\", alpha=\"0.14\", expect_size=\"50465792\"] \n  14 -> 20 [size =\"50465792\"]\n  14 -> 22 [size =\"50465792\"]\n  14 -> 27 [size =\"50465792\"]\n  15 [size=\"53367467\", alpha=\"0.12\", expect_size=\"16010240\"] \n  15 -> 20 [size =\"16010240\"]\n  15 -> 22 [size =\"16010240\"]\n  15 -> 23 [size =\"16010240\"]\n  15 -> 25 [size =\"16010240\"]\n  15 -> 27 [size =\"16010240\"]\n  16 [size=\"69512533\", alpha=\"0.06\", expect_size=\"20853760\"] \n  16 -> 19 [size =\"20853760\"]\n  16 -> 21 [size =\"20853760\"]\n  16 -> 22 [size =\"20853760\"]\n  16 -> 24 [size =\"20853760\"]\n  16 -> 26 [size =\"20853760\"]\n  16 -> 27 [size =\"20853760\"]\n  17 [size=\"142359893\", alpha=\"0.05\", expect_size=\"42707968\"] \n  17 -> 18 [size =\"42707968\"]\n  17 -> 19 [size =\"42707968\"]\n  17 -> 22 [size =\"42707968\"]\n  17 -> 26 [size =\"42707968\"]\n  17 -> 27 [size =\"42707968\"]\n  18 [size=\"95747413\", alpha=\"0.19\", expect_size=\"28724224\"] \n  18 -> 35 [size =\"28724224\"]\n  18 -> 38 [size =\"28724224\"]\n  18 -> 39 [size =\"28724224\"]\n  18 -> 41 [size =\"28724224\"]\n  19 [size=\"152029867\", alpha=\"0.07\", expect_size=\"45608960\"] \n  19 -> 38 [size =\"45608960\"]\n  19 -> 38 [size =\"45608960\"]\n  19 -> 39 [size =\"45608960\"]\n  19 -> 41 [size =\"45608960\"]\n  20 [size=\"97498453\", alpha=\"0.16\", expect_size=\"29249536\"] \n  20 -> 28 [size =\"29249536\"]\n  20 -> 33 [size =\"29249536\"]\n  20 -> 34 [size =\"29249536\"]\n  20 -> 41 [size =\"29249536\"]\n  21 [size=\"137434453\", alpha=\"0.05\", expect_size=\"41230336\"] \n  21 -> 28 [size =\"41230336\"]\n  21 -> 29 [size =\"41230336\"]\n  21 -> 32 [size =\"41230336\"]\n  21 -> 36 [size =\"41230336\"]\n  21 -> 37 [size =\"41230336\"]\n  21 -> 39 [size =\"41230336\"]\n  21 -> 41 [size =\"41230336\"]\n  22 [size=\"112029013\", alpha=\"0.08\", expect_size=\"33608704\"] \n  22 -> 28 [size =\"33608704\"]\n  22 -> 30 [size =\"33608704\"]\n  22 -> 31 [size =\"33608704\"]\n  22 -> 33 [size =\"33608704\"]\n  22 -> 34 [size =\"33608704\"]\n  22 -> 36 [size =\"33608704\"]\n  22 -> 37 [size =\"33608704\"]\n  23 [size=\"51203413\", alpha=\"0.05\", expect_size=\"15361024\"] \n  23 -> 28 [size =\"15361024\"]\n  23 -> 33 [size =\"15361024\"]\n  23 -> 36 [size =\"15361024\"]\n  23 -> 37 [size =\"15361024\"]\n  24 [size=\"170257067\", alpha=\"0.02\", expect_size=\"51077120\"] \n  24 -> 28 [size =\"51077120\"]\n  24 -> 29 [size =\"51077120\"]\n  24 -> 32 [size =\"51077120\"]\n  24 -> 33 [size =\"51077120\"]\n  24 -> 35 [size =\"51077120\"]\n  24 -> 36 [size =\"51077120\"]\n  24 -> 37 [size =\"51077120\"]\n  24 -> 40 [size =\"51077120\"]\n  25 [size=\"125091840\", alpha=\"0.10\", expect_size=\"37527552\"] \n  25 -> 33 [size =\"37527552\"]\n  25 -> 34 [size =\"37527552\"]\n  25 -> 35 [size =\"37527552\"]\n  25 -> 37 [size =\"37527552\"]\n  25 -> 40 [size =\"37527552\"]\n  26 [size=\"63249067\", alpha=\"0.09\", expect_size=\"18974720\"] \n  26 -> 28 [size =\"18974720\"]\n  26 -> 33 [size =\"18974720\"]\n  26 -> 35 [size =\"18974720\"]\n  26 -> 38 [size =\"18974720\"]\n  26 -> 40 [size =\"18974720\"]\n  26 -> 41 [size =\"18974720\"]\n  27 [size=\"110025387\", alpha=\"0.15\", expect_size=\"33007616\"] \n  27 -> 28 [size =\"33007616\"]\n  27 -> 33 [size =\"33007616\"]\n  27 -> 34 [size =\"33007616\"]\n  27 -> 35 [size =\"33007616\"]\n  27 -> 36 [size =\"33007616\"]\n  27 -> 38 [size =\"33007616\"]\n  27 -> 39 [size =\"33007616\"]\n  27 -> 40 [size =\"33007616\"]\n  28 [size=\"151903573\", alpha=\"0.07\", expect_size=\"45571072\"] \n  28 -> 43 [size =\"45571072\"]\n  28 -> 45 [size =\"45571072\"]\n  29 [size=\"145138347\", alpha=\"0.17\", expect_size=\"43541504\"] \n  29 -> 43 [size =\"43541504\"]\n  29 -> 45 [size =\"43541504\"]\n  30 [size=\"43267413\", alpha=\"0.03\", expect_size=\"12980224\"] \n  30 -> 43 [size =\"12980224\"]\n  31 [size=\"167809707\", alpha=\"0.17\", expect_size=\"50342912\"] \n  31 -> 43 [size =\"50342912\"]\n  31 -> 44 [size =\"50342912\"]\n  32 [size=\"53353813\", alpha=\"0.04\", expect_size=\"16006144\"] \n  32 -> 42 [size =\"16006144\"]\n  32 -> 43 [size =\"16006144\"]\n  33 [size=\"116811093\", alpha=\"0.09\", expect_size=\"35043328\"] \n  33 -> 45 [size =\"35043328\"]\n  34 [size=\"155999573\", alpha=\"0.12\", expect_size=\"46799872\"] \n  34 -> 45 [size =\"46799872\"]\n  35 [size=\"173124267\", alpha=\"0.01\", expect_size=\"51937280\"] \n  35 -> 43 [size =\"51937280\"]\n  35 -> 44 [size =\"51937280\"]\n  36 [size=\"91514880\", alpha=\"0.16\", expect_size=\"27454464\"] \n  36 -> 45 [size =\"27454464\"]\n  37 [size=\"161105920\", alpha=\"0.07\", expect_size=\"48331776\"] \n  37 -> 43 [size =\"48331776\"]\n  37 -> 44 [size =\"48331776\"]\n  37 -> 45 [size =\"48331776\"]\n  38 [size=\"121204053\", alpha=\"0.07\", expect_size=\"36361216\"] \n  38 -> 42 [size =\"36361216\"]\n  38 -> 44 [size =\"36361216\"]\n  38 -> 45 [size =\"36361216\"]\n  39 [size=\"22678187\", alpha=\"0.05\", expect_size=\"6803456\"] \n  39 -> 45 [size =\"6803456\"]\n  40 [size=\"157624320\", alpha=\"0.13\", expect_size=\"47287296\"] \n  40 -> 44 [size =\"47287296\"]\n  40 -> 45 [size =\"47287296\"]\n  41 [size=\"20831573\", alpha=\"0.17\", expect_size=\"6249472\"] \n  41 -> 45 [size =\"6249472\"]\n  42 [size=\"153989120\", alpha=\"0.12\", expect_size=\"46196736\"] \n  43 [size=\"28163413\", alpha=\"0.12\", expect_size=\"8449024\"] \n  44 [size=\"96013653\", alpha=\"0.11\", expect_size=\"28804096\"] \n  45 [size=\"36423680\", alpha=\"0.04\", expect_size=\"10927104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96585728\", alpha=\"0.08\", expect_size=\"48292864\"] \n  1 -> 16 [size =\"48292864\"]\n  1 -> 17 [size =\"48292864\"]\n  1 -> 22 [size =\"48292864\"]\n  2 [size=\"33550336\", alpha=\"0.18\", expect_size=\"16775168\"] \n  2 -> 16 [size =\"16775168\"]\n  2 -> 21 [size =\"16775168\"]\n  2 -> 22 [size =\"16775168\"]\n  2 -> 24 [size =\"16775168\"]\n  3 [size=\"32919552\", alpha=\"0.18\", expect_size=\"16459776\"] \n  3 -> 20 [size =\"16459776\"]\n  3 -> 22 [size =\"16459776\"]\n  3 -> 26 [size =\"16459776\"]\n  4 [size=\"69232640\", alpha=\"0.04\", expect_size=\"34616320\"] \n  4 -> 18 [size =\"34616320\"]\n  4 -> 21 [size =\"34616320\"]\n  4 -> 22 [size =\"34616320\"]\n  4 -> 26 [size =\"34616320\"]\n  5 [size=\"93671424\", alpha=\"0.10\", expect_size=\"46835712\"] \n  5 -> 17 [size =\"46835712\"]\n  5 -> 18 [size =\"46835712\"]\n  5 -> 21 [size =\"46835712\"]\n  5 -> 22 [size =\"46835712\"]\n  5 -> 26 [size =\"46835712\"]\n  6 [size=\"97255424\", alpha=\"0.02\", expect_size=\"48627712\"] \n  6 -> 14 [size =\"48627712\"]\n  6 -> 15 [size =\"48627712\"]\n  6 -> 17 [size =\"48627712\"]\n  6 -> 20 [size =\"48627712\"]\n  6 -> 21 [size =\"48627712\"]\n  6 -> 22 [size =\"48627712\"]\n  6 -> 24 [size =\"48627712\"]\n  6 -> 26 [size =\"48627712\"]\n  7 [size=\"34662400\", alpha=\"0.14\", expect_size=\"17331200\"] \n  7 -> 14 [size =\"17331200\"]\n  7 -> 15 [size =\"17331200\"]\n  7 -> 16 [size =\"17331200\"]\n  7 -> 24 [size =\"17331200\"]\n  7 -> 25 [size =\"17331200\"]\n  7 -> 26 [size =\"17331200\"]\n  8 [size=\"85194752\", alpha=\"0.05\", expect_size=\"42597376\"] \n  8 -> 15 [size =\"42597376\"]\n  8 -> 15 [size =\"42597376\"]\n  8 -> 20 [size =\"42597376\"]\n  8 -> 24 [size =\"42597376\"]\n  8 -> 26 [size =\"42597376\"]\n  8 -> 26 [size =\"42597376\"]\n  9 [size=\"15554560\", alpha=\"0.18\", expect_size=\"7777280\"] \n  9 -> 21 [size =\"7777280\"]\n  9 -> 22 [size =\"7777280\"]\n  9 -> 23 [size =\"7777280\"]\n  10 [size=\"29724672\", alpha=\"0.12\", expect_size=\"14862336\"] \n  10 -> 16 [size =\"14862336\"]\n  10 -> 17 [size =\"14862336\"]\n  10 -> 21 [size =\"14862336\"]\n  10 -> 22 [size =\"14862336\"]\n  10 -> 26 [size =\"14862336\"]\n  11 [size=\"57974784\", alpha=\"0.03\", expect_size=\"28987392\"] \n  11 -> 15 [size =\"28987392\"]\n  11 -> 17 [size =\"28987392\"]\n  11 -> 20 [size =\"28987392\"]\n  11 -> 24 [size =\"28987392\"]\n  11 -> 26 [size =\"28987392\"]\n  12 [size=\"97527808\", alpha=\"0.11\", expect_size=\"48763904\"] \n  12 -> 17 [size =\"48763904\"]\n  12 -> 19 [size =\"48763904\"]\n  12 -> 20 [size =\"48763904\"]\n  12 -> 22 [size =\"48763904\"]\n  12 -> 24 [size =\"48763904\"]\n  12 -> 26 [size =\"48763904\"]\n  13 [size=\"89524224\", alpha=\"0.10\", expect_size=\"44762112\"] \n  13 -> 16 [size =\"44762112\"]\n  13 -> 17 [size =\"44762112\"]\n  13 -> 18 [size =\"44762112\"]\n  13 -> 19 [size =\"44762112\"]\n  13 -> 20 [size =\"44762112\"]\n  13 -> 22 [size =\"44762112\"]\n  13 -> 23 [size =\"44762112\"]\n  13 -> 25 [size =\"44762112\"]\n  14 [size=\"79091712\", alpha=\"0.09\", expect_size=\"39545856\"] \n  14 -> 27 [size =\"39545856\"]\n  14 -> 29 [size =\"39545856\"]\n  14 -> 31 [size =\"39545856\"]\n  14 -> 32 [size =\"39545856\"]\n  14 -> 36 [size =\"39545856\"]\n  14 -> 37 [size =\"39545856\"]\n  14 -> 38 [size =\"39545856\"]\n  14 -> 40 [size =\"39545856\"]\n  15 [size=\"97687552\", alpha=\"0.18\", expect_size=\"48843776\"] \n  15 -> 27 [size =\"48843776\"]\n  15 -> 28 [size =\"48843776\"]\n  15 -> 29 [size =\"48843776\"]\n  15 -> 31 [size =\"48843776\"]\n  15 -> 32 [size =\"48843776\"]\n  15 -> 34 [size =\"48843776\"]\n  15 -> 36 [size =\"48843776\"]\n  15 -> 39 [size =\"48843776\"]\n  15 -> 40 [size =\"48843776\"]\n  16 [size=\"50417664\", alpha=\"0.05\", expect_size=\"25208832\"] \n  16 -> 27 [size =\"25208832\"]\n  16 -> 28 [size =\"25208832\"]\n  16 -> 29 [size =\"25208832\"]\n  16 -> 31 [size =\"25208832\"]\n  16 -> 32 [size =\"25208832\"]\n  16 -> 35 [size =\"25208832\"]\n  16 -> 36 [size =\"25208832\"]\n  16 -> 37 [size =\"25208832\"]\n  17 [size=\"58363904\", alpha=\"0.20\", expect_size=\"29181952\"] \n  17 -> 27 [size =\"29181952\"]\n  17 -> 28 [size =\"29181952\"]\n  17 -> 29 [size =\"29181952\"]\n  17 -> 30 [size =\"29181952\"]\n  17 -> 32 [size =\"29181952\"]\n  17 -> 34 [size =\"29181952\"]\n  17 -> 36 [size =\"29181952\"]\n  17 -> 39 [size =\"29181952\"]\n  17 -> 40 [size =\"29181952\"]\n  18 [size=\"28018688\", alpha=\"0.12\", expect_size=\"14009344\"] \n  18 -> 27 [size =\"14009344\"]\n  18 -> 28 [size =\"14009344\"]\n  18 -> 32 [size =\"14009344\"]\n  18 -> 36 [size =\"14009344\"]\n  18 -> 38 [size =\"14009344\"]\n  18 -> 39 [size =\"14009344\"]\n  19 [size=\"53315584\", alpha=\"0.03\", expect_size=\"26657792\"] \n  19 -> 27 [size =\"26657792\"]\n  19 -> 29 [size =\"26657792\"]\n  19 -> 30 [size =\"26657792\"]\n  19 -> 31 [size =\"26657792\"]\n  19 -> 32 [size =\"26657792\"]\n  19 -> 33 [size =\"26657792\"]\n  19 -> 37 [size =\"26657792\"]\n  19 -> 39 [size =\"26657792\"]\n  20 [size=\"44716032\", alpha=\"0.01\", expect_size=\"22358016\"] \n  20 -> 27 [size =\"22358016\"]\n  20 -> 28 [size =\"22358016\"]\n  20 -> 29 [size =\"22358016\"]\n  20 -> 31 [size =\"22358016\"]\n  20 -> 32 [size =\"22358016\"]\n  20 -> 36 [size =\"22358016\"]\n  20 -> 38 [size =\"22358016\"]\n  20 -> 39 [size =\"22358016\"]\n  20 -> 40 [size =\"22358016\"]\n  21 [size=\"103213056\", alpha=\"0.18\", expect_size=\"51606528\"] \n  21 -> 27 [size =\"51606528\"]\n  21 -> 28 [size =\"51606528\"]\n  21 -> 29 [size =\"51606528\"]\n  21 -> 30 [size =\"51606528\"]\n  21 -> 32 [size =\"51606528\"]\n  21 -> 33 [size =\"51606528\"]\n  21 -> 36 [size =\"51606528\"]\n  21 -> 37 [size =\"51606528\"]\n  21 -> 38 [size =\"51606528\"]\n  21 -> 39 [size =\"51606528\"]\n  21 -> 40 [size =\"51606528\"]\n  22 [size=\"23193600\", alpha=\"0.19\", expect_size=\"11596800\"] \n  22 -> 27 [size =\"11596800\"]\n  22 -> 28 [size =\"11596800\"]\n  22 -> 29 [size =\"11596800\"]\n  22 -> 30 [size =\"11596800\"]\n  22 -> 32 [size =\"11596800\"]\n  22 -> 39 [size =\"11596800\"]\n  22 -> 40 [size =\"11596800\"]\n  23 [size=\"74627072\", alpha=\"0.06\", expect_size=\"37313536\"] \n  23 -> 27 [size =\"37313536\"]\n  23 -> 28 [size =\"37313536\"]\n  23 -> 29 [size =\"37313536\"]\n  23 -> 36 [size =\"37313536\"]\n  23 -> 39 [size =\"37313536\"]\n  23 -> 39 [size =\"37313536\"]\n  23 -> 40 [size =\"37313536\"]\n  24 [size=\"29401088\", alpha=\"0.04\", expect_size=\"14700544\"] \n  24 -> 28 [size =\"14700544\"]\n  24 -> 28 [size =\"14700544\"]\n  24 -> 29 [size =\"14700544\"]\n  24 -> 33 [size =\"14700544\"]\n  24 -> 36 [size =\"14700544\"]\n  24 -> 37 [size =\"14700544\"]\n  24 -> 38 [size =\"14700544\"]\n  24 -> 39 [size =\"14700544\"]\n  24 -> 40 [size =\"14700544\"]\n  25 [size=\"73725952\", alpha=\"0.01\", expect_size=\"36862976\"] \n  25 -> 28 [size =\"36862976\"]\n  25 -> 29 [size =\"36862976\"]\n  25 -> 31 [size =\"36862976\"]\n  25 -> 32 [size =\"36862976\"]\n  25 -> 33 [size =\"36862976\"]\n  25 -> 36 [size =\"36862976\"]\n  25 -> 38 [size =\"36862976\"]\n  25 -> 39 [size =\"36862976\"]\n  25 -> 40 [size =\"36862976\"]\n  26 [size=\"64622592\", alpha=\"0.15\", expect_size=\"32311296\"] \n  26 -> 27 [size =\"32311296\"]\n  26 -> 29 [size =\"32311296\"]\n  26 -> 31 [size =\"32311296\"]\n  26 -> 33 [size =\"32311296\"]\n  26 -> 36 [size =\"32311296\"]\n  26 -> 37 [size =\"32311296\"]\n  26 -> 38 [size =\"32311296\"]\n  26 -> 40 [size =\"32311296\"]\n  26 -> 40 [size =\"32311296\"]\n  27 [size=\"88408064\", alpha=\"0.15\", expect_size=\"44204032\"] \n  27 -> 42 [size =\"44204032\"]\n  27 -> 42 [size =\"44204032\"]\n  28 [size=\"86364160\", alpha=\"0.11\", expect_size=\"43182080\"] \n  28 -> 42 [size =\"43182080\"]\n  28 -> 44 [size =\"43182080\"]\n  29 [size=\"49192960\", alpha=\"0.07\", expect_size=\"24596480\"] \n  29 -> 41 [size =\"24596480\"]\n  29 -> 42 [size =\"24596480\"]\n  29 -> 43 [size =\"24596480\"]\n  29 -> 44 [size =\"24596480\"]\n  29 -> 45 [size =\"24596480\"]\n  30 [size=\"63272960\", alpha=\"0.08\", expect_size=\"31636480\"] \n  30 -> 42 [size =\"31636480\"]\n  30 -> 42 [size =\"31636480\"]\n  30 -> 43 [size =\"31636480\"]\n  30 -> 44 [size =\"31636480\"]\n  31 [size=\"69455872\", alpha=\"0.19\", expect_size=\"34727936\"] \n  31 -> 42 [size =\"34727936\"]\n  31 -> 43 [size =\"34727936\"]\n  31 -> 44 [size =\"34727936\"]\n  32 [size=\"59465728\", alpha=\"0.08\", expect_size=\"29732864\"] \n  32 -> 42 [size =\"29732864\"]\n  32 -> 43 [size =\"29732864\"]\n  32 -> 44 [size =\"29732864\"]\n  33 [size=\"56369152\", alpha=\"0.14\", expect_size=\"28184576\"] \n  33 -> 41 [size =\"28184576\"]\n  33 -> 43 [size =\"28184576\"]\n  34 [size=\"82601984\", alpha=\"0.15\", expect_size=\"41300992\"] \n  34 -> 41 [size =\"41300992\"]\n  34 -> 42 [size =\"41300992\"]\n  34 -> 43 [size =\"41300992\"]\n  34 -> 44 [size =\"41300992\"]\n  35 [size=\"102537216\", alpha=\"0.14\", expect_size=\"51268608\"] \n  35 -> 41 [size =\"51268608\"]\n  35 -> 43 [size =\"51268608\"]\n  35 -> 43 [size =\"51268608\"]\n  35 -> 44 [size =\"51268608\"]\n  36 [size=\"10618880\", alpha=\"0.02\", expect_size=\"5309440\"] \n  36 -> 41 [size =\"5309440\"]\n  36 -> 43 [size =\"5309440\"]\n  36 -> 44 [size =\"5309440\"]\n  36 -> 44 [size =\"5309440\"]\n  36 -> 45 [size =\"5309440\"]\n  37 [size=\"82362368\", alpha=\"0.19\", expect_size=\"41181184\"] \n  37 -> 41 [size =\"41181184\"]\n  37 -> 42 [size =\"41181184\"]\n  37 -> 43 [size =\"41181184\"]\n  37 -> 45 [size =\"41181184\"]\n  37 -> 45 [size =\"41181184\"]\n  38 [size=\"58824704\", alpha=\"0.01\", expect_size=\"29412352\"] \n  38 -> 43 [size =\"29412352\"]\n  38 -> 45 [size =\"29412352\"]\n  39 [size=\"14718976\", alpha=\"0.11\", expect_size=\"7359488\"] \n  39 -> 42 [size =\"7359488\"]\n  39 -> 43 [size =\"7359488\"]\n  39 -> 44 [size =\"7359488\"]\n  40 [size=\"49485824\", alpha=\"0.09\", expect_size=\"24742912\"] \n  40 -> 41 [size =\"24742912\"]\n  40 -> 42 [size =\"24742912\"]\n  40 -> 44 [size =\"24742912\"]\n  40 -> 45 [size =\"24742912\"]\n  41 [size=\"87992320\", alpha=\"0.06\", expect_size=\"43996160\"] \n  42 [size=\"83357696\", alpha=\"0.06\", expect_size=\"41678848\"] \n  43 [size=\"28250112\", alpha=\"0.00\", expect_size=\"14125056\"] \n  44 [size=\"96083968\", alpha=\"0.18\", expect_size=\"48041984\"] \n  45 [size=\"72351744\", alpha=\"0.09\", expect_size=\"36175872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86276096\", alpha=\"0.05\", expect_size=\"43138048\"] \n  1 -> 9 [size =\"43138048\"]\n  2 [size=\"53329920\", alpha=\"0.15\", expect_size=\"26664960\"] \n  2 -> 9 [size =\"26664960\"]\n  3 [size=\"49635328\", alpha=\"0.18\", expect_size=\"24817664\"] \n  3 -> 10 [size =\"24817664\"]\n  3 -> 12 [size =\"24817664\"]\n  4 [size=\"78069760\", alpha=\"0.18\", expect_size=\"39034880\"] \n  4 -> 7 [size =\"39034880\"]\n  4 -> 8 [size =\"39034880\"]\n  4 -> 12 [size =\"39034880\"]\n  5 [size=\"62691328\", alpha=\"0.07\", expect_size=\"31345664\"] \n  6 [size=\"41162752\", alpha=\"0.04\", expect_size=\"20581376\"] \n  6 -> 8 [size =\"20581376\"]\n  6 -> 11 [size =\"20581376\"]\n  7 [size=\"80318464\", alpha=\"0.16\", expect_size=\"40159232\"] \n  7 -> 13 [size =\"40159232\"]\n  8 [size=\"101515264\", alpha=\"0.11\", expect_size=\"50757632\"] \n  8 -> 14 [size =\"50757632\"]\n  8 -> 18 [size =\"50757632\"]\n  9 [size=\"64624640\", alpha=\"0.16\", expect_size=\"32312320\"] \n  10 [size=\"84498432\", alpha=\"0.16\", expect_size=\"42249216\"] \n  10 -> 13 [size =\"42249216\"]\n  10 -> 14 [size =\"42249216\"]\n  10 -> 18 [size =\"42249216\"]\n  11 [size=\"49115136\", alpha=\"0.19\", expect_size=\"24557568\"] \n  11 -> 13 [size =\"24557568\"]\n  11 -> 15 [size =\"24557568\"]\n  11 -> 16 [size =\"24557568\"]\n  11 -> 17 [size =\"24557568\"]\n  12 [size=\"73750528\", alpha=\"0.01\", expect_size=\"36875264\"] \n  12 -> 14 [size =\"36875264\"]\n  12 -> 16 [size =\"36875264\"]\n  12 -> 17 [size =\"36875264\"]\n  13 [size=\"52234240\", alpha=\"0.02\", expect_size=\"26117120\"] \n  13 -> 21 [size =\"26117120\"]\n  14 [size=\"44650496\", alpha=\"0.14\", expect_size=\"22325248\"] \n  14 -> 21 [size =\"22325248\"]\n  15 [size=\"34957312\", alpha=\"0.04\", expect_size=\"17478656\"] \n  15 -> 20 [size =\"17478656\"]\n  15 -> 22 [size =\"17478656\"]\n  16 [size=\"68532224\", alpha=\"0.01\", expect_size=\"34266112\"] \n  17 [size=\"89223168\", alpha=\"0.17\", expect_size=\"44611584\"] \n  17 -> 19 [size =\"44611584\"]\n  17 -> 20 [size =\"44611584\"]\n  17 -> 23 [size =\"44611584\"]\n  18 [size=\"72161280\", alpha=\"0.02\", expect_size=\"36080640\"] \n  18 -> 19 [size =\"36080640\"]\n  18 -> 20 [size =\"36080640\"]\n  18 -> 21 [size =\"36080640\"]\n  18 -> 23 [size =\"36080640\"]\n  19 [size=\"28960768\", alpha=\"0.19\", expect_size=\"14480384\"] \n  19 -> 24 [size =\"14480384\"]\n  19 -> 25 [size =\"14480384\"]\n  20 [size=\"104372224\", alpha=\"0.10\", expect_size=\"52186112\"] \n  20 -> 26 [size =\"52186112\"]\n  21 [size=\"85297152\", alpha=\"0.17\", expect_size=\"42648576\"] \n  21 -> 27 [size =\"42648576\"]\n  21 -> 28 [size =\"42648576\"]\n  22 [size=\"81784832\", alpha=\"0.13\", expect_size=\"40892416\"] \n  22 -> 27 [size =\"40892416\"]\n  22 -> 28 [size =\"40892416\"]\n  23 [size=\"86589440\", alpha=\"0.17\", expect_size=\"43294720\"] \n  23 -> 24 [size =\"43294720\"]\n  24 [size=\"97945600\", alpha=\"0.16\", expect_size=\"48972800\"] \n  25 [size=\"68798464\", alpha=\"0.06\", expect_size=\"34399232\"] \n  25 -> 29 [size =\"34399232\"]\n  25 -> 30 [size =\"34399232\"]\n  25 -> 32 [size =\"34399232\"]\n  26 [size=\"85618688\", alpha=\"0.02\", expect_size=\"42809344\"] \n  26 -> 31 [size =\"42809344\"]\n  26 -> 32 [size =\"42809344\"]\n  27 [size=\"88770560\", alpha=\"0.13\", expect_size=\"44385280\"] \n  27 -> 29 [size =\"44385280\"]\n  27 -> 30 [size =\"44385280\"]\n  27 -> 33 [size =\"44385280\"]\n  28 [size=\"76793856\", alpha=\"0.03\", expect_size=\"38396928\"] \n  28 -> 31 [size =\"38396928\"]\n  28 -> 32 [size =\"38396928\"]\n  28 -> 34 [size =\"38396928\"]\n  29 [size=\"87328768\", alpha=\"0.05\", expect_size=\"43664384\"] \n  30 [size=\"84004864\", alpha=\"0.02\", expect_size=\"42002432\"] \n  31 [size=\"37517312\", alpha=\"0.08\", expect_size=\"18758656\"] \n  31 -> 35 [size =\"18758656\"]\n  31 -> 36 [size =\"18758656\"]\n  31 -> 37 [size =\"18758656\"]\n  32 [size=\"23658496\", alpha=\"0.07\", expect_size=\"11829248\"] \n  32 -> 35 [size =\"11829248\"]\n  32 -> 37 [size =\"11829248\"]\n  32 -> 37 [size =\"11829248\"]\n  32 -> 39 [size =\"11829248\"]\n  33 [size=\"85274624\", alpha=\"0.15\", expect_size=\"42637312\"] \n  33 -> 38 [size =\"42637312\"]\n  34 [size=\"72769536\", alpha=\"0.10\", expect_size=\"36384768\"] \n  34 -> 36 [size =\"36384768\"]\n  34 -> 38 [size =\"36384768\"]\n  34 -> 40 [size =\"36384768\"]\n  35 [size=\"53731328\", alpha=\"0.10\", expect_size=\"26865664\"] \n  35 -> 45 [size =\"26865664\"]\n  36 [size=\"80367616\", alpha=\"0.03\", expect_size=\"40183808\"] \n  36 -> 41 [size =\"40183808\"]\n  36 -> 42 [size =\"40183808\"]\n  37 [size=\"88985600\", alpha=\"0.12\", expect_size=\"44492800\"] \n  37 -> 41 [size =\"44492800\"]\n  37 -> 43 [size =\"44492800\"]\n  37 -> 44 [size =\"44492800\"]\n  37 -> 45 [size =\"44492800\"]\n  38 [size=\"55044096\", alpha=\"0.14\", expect_size=\"27522048\"] \n  38 -> 41 [size =\"27522048\"]\n  38 -> 44 [size =\"27522048\"]\n  39 [size=\"69576704\", alpha=\"0.01\", expect_size=\"34788352\"] \n  40 [size=\"92352512\", alpha=\"0.07\", expect_size=\"46176256\"] \n  40 -> 42 [size =\"46176256\"]\n  40 -> 45 [size =\"46176256\"]\n  41 [size=\"103008256\", alpha=\"0.09\", expect_size=\"51504128\"] \n  42 [size=\"45803520\", alpha=\"0.06\", expect_size=\"22901760\"] \n  43 [size=\"78374912\", alpha=\"0.19\", expect_size=\"39187456\"] \n  44 [size=\"53731328\", alpha=\"0.11\", expect_size=\"26865664\"] \n  45 [size=\"100407296\", alpha=\"0.15\", expect_size=\"50203648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111088640\", alpha=\"0.16\", expect_size=\"44435456\"] \n  1 -> 8 [size =\"44435456\"]\n  1 -> 9 [size =\"44435456\"]\n  1 -> 10 [size =\"44435456\"]\n  2 [size=\"44195840\", alpha=\"0.11\", expect_size=\"17678336\"] \n  2 -> 7 [size =\"17678336\"]\n  2 -> 9 [size =\"17678336\"]\n  2 -> 10 [size =\"17678336\"]\n  2 -> 11 [size =\"17678336\"]\n  2 -> 12 [size =\"17678336\"]\n  3 [size=\"116083200\", alpha=\"0.17\", expect_size=\"46433280\"] \n  3 -> 7 [size =\"46433280\"]\n  3 -> 8 [size =\"46433280\"]\n  3 -> 10 [size =\"46433280\"]\n  3 -> 12 [size =\"46433280\"]\n  4 [size=\"17538560\", alpha=\"0.04\", expect_size=\"7015424\"] \n  4 -> 7 [size =\"7015424\"]\n  4 -> 9 [size =\"7015424\"]\n  4 -> 10 [size =\"7015424\"]\n  5 [size=\"62062080\", alpha=\"0.07\", expect_size=\"24824832\"] \n  5 -> 8 [size =\"24824832\"]\n  5 -> 11 [size =\"24824832\"]\n  6 [size=\"34406400\", alpha=\"0.02\", expect_size=\"13762560\"] \n  6 -> 9 [size =\"13762560\"]\n  7 [size=\"106122240\", alpha=\"0.16\", expect_size=\"42448896\"] \n  8 [size=\"76003840\", alpha=\"0.06\", expect_size=\"30401536\"] \n  8 -> 14 [size =\"30401536\"]\n  8 -> 15 [size =\"30401536\"]\n  9 [size=\"37547520\", alpha=\"0.03\", expect_size=\"15019008\"] \n  9 -> 13 [size =\"15019008\"]\n  9 -> 14 [size =\"15019008\"]\n  9 -> 16 [size =\"15019008\"]\n  9 -> 17 [size =\"15019008\"]\n  10 [size=\"82391040\", alpha=\"0.19\", expect_size=\"32956416\"] \n  10 -> 13 [size =\"32956416\"]\n  10 -> 14 [size =\"32956416\"]\n  10 -> 15 [size =\"32956416\"]\n  10 -> 17 [size =\"32956416\"]\n  11 [size=\"94115840\", alpha=\"0.01\", expect_size=\"37646336\"] \n  11 -> 13 [size =\"37646336\"]\n  11 -> 15 [size =\"37646336\"]\n  11 -> 17 [size =\"37646336\"]\n  12 [size=\"71393280\", alpha=\"0.03\", expect_size=\"28557312\"] \n  12 -> 16 [size =\"28557312\"]\n  12 -> 17 [size =\"28557312\"]\n  12 -> 18 [size =\"28557312\"]\n  13 [size=\"15902720\", alpha=\"0.20\", expect_size=\"6361088\"] \n  14 [size=\"113351680\", alpha=\"0.01\", expect_size=\"45340672\"] \n  14 -> 19 [size =\"45340672\"]\n  14 -> 20 [size =\"45340672\"]\n  14 -> 21 [size =\"45340672\"]\n  14 -> 22 [size =\"45340672\"]\n  15 [size=\"19525120\", alpha=\"0.11\", expect_size=\"7810048\"] \n  15 -> 21 [size =\"7810048\"]\n  15 -> 22 [size =\"7810048\"]\n  15 -> 24 [size =\"7810048\"]\n  16 [size=\"62888960\", alpha=\"0.01\", expect_size=\"25155584\"] \n  16 -> 19 [size =\"25155584\"]\n  17 [size=\"76234240\", alpha=\"0.07\", expect_size=\"30493696\"] \n  17 -> 20 [size =\"30493696\"]\n  17 -> 23 [size =\"30493696\"]\n  18 [size=\"50119680\", alpha=\"0.14\", expect_size=\"20047872\"] \n  18 -> 19 [size =\"20047872\"]\n  18 -> 23 [size =\"20047872\"]\n  18 -> 24 [size =\"20047872\"]\n  19 [size=\"84659200\", alpha=\"0.13\", expect_size=\"33863680\"] \n  19 -> 25 [size =\"33863680\"]\n  19 -> 27 [size =\"33863680\"]\n  19 -> 28 [size =\"33863680\"]\n  19 -> 29 [size =\"33863680\"]\n  20 [size=\"102277120\", alpha=\"0.17\", expect_size=\"40910848\"] \n  20 -> 25 [size =\"40910848\"]\n  20 -> 26 [size =\"40910848\"]\n  20 -> 27 [size =\"40910848\"]\n  20 -> 28 [size =\"40910848\"]\n  21 [size=\"96642560\", alpha=\"0.19\", expect_size=\"38657024\"] \n  21 -> 25 [size =\"38657024\"]\n  21 -> 27 [size =\"38657024\"]\n  21 -> 27 [size =\"38657024\"]\n  21 -> 28 [size =\"38657024\"]\n  22 [size=\"101301760\", alpha=\"0.05\", expect_size=\"40520704\"] \n  22 -> 29 [size =\"40520704\"]\n  23 [size=\"116992000\", alpha=\"0.10\", expect_size=\"46796800\"] \n  23 -> 29 [size =\"46796800\"]\n  24 [size=\"116922880\", alpha=\"0.14\", expect_size=\"46769152\"] \n  24 -> 25 [size =\"46769152\"]\n  24 -> 26 [size =\"46769152\"]\n  24 -> 28 [size =\"46769152\"]\n  24 -> 29 [size =\"46769152\"]\n  25 [size=\"121085440\", alpha=\"0.08\", expect_size=\"48434176\"] \n  25 -> 30 [size =\"48434176\"]\n  25 -> 31 [size =\"48434176\"]\n  25 -> 32 [size =\"48434176\"]\n  25 -> 33 [size =\"48434176\"]\n  25 -> 34 [size =\"48434176\"]\n  26 [size=\"67133440\", alpha=\"0.04\", expect_size=\"26853376\"] \n  26 -> 33 [size =\"26853376\"]\n  26 -> 34 [size =\"26853376\"]\n  27 [size=\"72450560\", alpha=\"0.17\", expect_size=\"28980224\"] \n  27 -> 31 [size =\"28980224\"]\n  27 -> 34 [size =\"28980224\"]\n  28 [size=\"115115520\", alpha=\"0.00\", expect_size=\"46046208\"] \n  28 -> 30 [size =\"46046208\"]\n  28 -> 31 [size =\"46046208\"]\n  28 -> 32 [size =\"46046208\"]\n  28 -> 33 [size =\"46046208\"]\n  28 -> 34 [size =\"46046208\"]\n  29 [size=\"77355520\", alpha=\"0.08\", expect_size=\"30942208\"] \n  29 -> 30 [size =\"30942208\"]\n  29 -> 31 [size =\"30942208\"]\n  29 -> 32 [size =\"30942208\"]\n  30 [size=\"33226240\", alpha=\"0.07\", expect_size=\"13290496\"] \n  30 -> 37 [size =\"13290496\"]\n  30 -> 38 [size =\"13290496\"]\n  31 [size=\"17369600\", alpha=\"0.20\", expect_size=\"6947840\"] \n  31 -> 35 [size =\"6947840\"]\n  31 -> 36 [size =\"6947840\"]\n  31 -> 40 [size =\"6947840\"]\n  32 [size=\"127769600\", alpha=\"0.02\", expect_size=\"51107840\"] \n  32 -> 37 [size =\"51107840\"]\n  32 -> 39 [size =\"51107840\"]\n  32 -> 40 [size =\"51107840\"]\n  33 [size=\"41620480\", alpha=\"0.06\", expect_size=\"16648192\"] \n  33 -> 35 [size =\"16648192\"]\n  33 -> 38 [size =\"16648192\"]\n  33 -> 40 [size =\"16648192\"]\n  34 [size=\"97827840\", alpha=\"0.06\", expect_size=\"39131136\"] \n  34 -> 37 [size =\"39131136\"]\n  35 [size=\"64898560\", alpha=\"0.07\", expect_size=\"25959424\"] \n  35 -> 41 [size =\"25959424\"]\n  35 -> 42 [size =\"25959424\"]\n  35 -> 44 [size =\"25959424\"]\n  36 [size=\"109752320\", alpha=\"0.17\", expect_size=\"43900928\"] \n  36 -> 43 [size =\"43900928\"]\n  36 -> 44 [size =\"43900928\"]\n  36 -> 45 [size =\"43900928\"]\n  37 [size=\"17758720\", alpha=\"0.17\", expect_size=\"7103488\"] \n  37 -> 42 [size =\"7103488\"]\n  37 -> 43 [size =\"7103488\"]\n  37 -> 44 [size =\"7103488\"]\n  37 -> 45 [size =\"7103488\"]\n  38 [size=\"117867520\", alpha=\"0.04\", expect_size=\"47147008\"] \n  38 -> 43 [size =\"47147008\"]\n  39 [size=\"119078400\", alpha=\"0.03\", expect_size=\"47631360\"] \n  39 -> 42 [size =\"47631360\"]\n  40 [size=\"45834240\", alpha=\"0.17\", expect_size=\"18333696\"] \n  40 -> 41 [size =\"18333696\"]\n  40 -> 42 [size =\"18333696\"]\n  41 [size=\"85386240\", alpha=\"0.05\", expect_size=\"34154496\"] \n  42 [size=\"82816000\", alpha=\"0.08\", expect_size=\"33126400\"] \n  43 [size=\"96404480\", alpha=\"0.09\", expect_size=\"38561792\"] \n  44 [size=\"128952320\", alpha=\"0.07\", expect_size=\"51580928\"] \n  45 [size=\"44774400\", alpha=\"0.04\", expect_size=\"17909760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165621760\", alpha=\"0.17\", expect_size=\"49686528\"] \n  1 -> 8 [size =\"49686528\"]\n  1 -> 13 [size =\"49686528\"]\n  2 [size=\"109922987\", alpha=\"0.03\", expect_size=\"32976896\"] \n  2 -> 8 [size =\"32976896\"]\n  2 -> 9 [size =\"32976896\"]\n  2 -> 11 [size =\"32976896\"]\n  2 -> 13 [size =\"32976896\"]\n  3 [size=\"152231253\", alpha=\"0.04\", expect_size=\"45669376\"] \n  3 -> 8 [size =\"45669376\"]\n  3 -> 9 [size =\"45669376\"]\n  3 -> 12 [size =\"45669376\"]\n  4 [size=\"106646187\", alpha=\"0.11\", expect_size=\"31993856\"] \n  4 -> 12 [size =\"31993856\"]\n  5 [size=\"27060907\", alpha=\"0.06\", expect_size=\"8118272\"] \n  5 -> 8 [size =\"8118272\"]\n  5 -> 13 [size =\"8118272\"]\n  6 [size=\"84244480\", alpha=\"0.02\", expect_size=\"25273344\"] \n  6 -> 10 [size =\"25273344\"]\n  6 -> 11 [size =\"25273344\"]\n  6 -> 12 [size =\"25273344\"]\n  6 -> 13 [size =\"25273344\"]\n  7 [size=\"50565120\", alpha=\"0.19\", expect_size=\"15169536\"] \n  7 -> 8 [size =\"15169536\"]\n  8 [size=\"43284480\", alpha=\"0.14\", expect_size=\"12985344\"] \n  8 -> 14 [size =\"12985344\"]\n  8 -> 16 [size =\"12985344\"]\n  8 -> 17 [size =\"12985344\"]\n  8 -> 18 [size =\"12985344\"]\n  8 -> 19 [size =\"12985344\"]\n  9 [size=\"122129067\", alpha=\"0.14\", expect_size=\"36638720\"] \n  9 -> 14 [size =\"36638720\"]\n  9 -> 18 [size =\"36638720\"]\n  10 [size=\"161396053\", alpha=\"0.05\", expect_size=\"48418816\"] \n  10 -> 14 [size =\"48418816\"]\n  11 [size=\"34201600\", alpha=\"0.20\", expect_size=\"10260480\"] \n  11 -> 17 [size =\"10260480\"]\n  11 -> 19 [size =\"10260480\"]\n  11 -> 20 [size =\"10260480\"]\n  12 [size=\"164536320\", alpha=\"0.08\", expect_size=\"49360896\"] \n  12 -> 16 [size =\"49360896\"]\n  12 -> 18 [size =\"49360896\"]\n  12 -> 19 [size =\"49360896\"]\n  12 -> 20 [size =\"49360896\"]\n  13 [size=\"28654933\", alpha=\"0.13\", expect_size=\"8596480\"] \n  13 -> 15 [size =\"8596480\"]\n  13 -> 16 [size =\"8596480\"]\n  14 [size=\"59006293\", alpha=\"0.12\", expect_size=\"17701888\"] \n  14 -> 22 [size =\"17701888\"]\n  14 -> 23 [size =\"17701888\"]\n  14 -> 24 [size =\"17701888\"]\n  14 -> 26 [size =\"17701888\"]\n  14 -> 27 [size =\"17701888\"]\n  14 -> 28 [size =\"17701888\"]\n  15 [size=\"142807040\", alpha=\"0.04\", expect_size=\"42842112\"] \n  15 -> 22 [size =\"42842112\"]\n  15 -> 25 [size =\"42842112\"]\n  16 [size=\"29358080\", alpha=\"0.04\", expect_size=\"8807424\"] \n  16 -> 21 [size =\"8807424\"]\n  16 -> 22 [size =\"8807424\"]\n  16 -> 27 [size =\"8807424\"]\n  16 -> 28 [size =\"8807424\"]\n  17 [size=\"41680213\", alpha=\"0.08\", expect_size=\"12504064\"] \n  17 -> 22 [size =\"12504064\"]\n  17 -> 26 [size =\"12504064\"]\n  17 -> 27 [size =\"12504064\"]\n  18 [size=\"37212160\", alpha=\"0.19\", expect_size=\"11163648\"] \n  18 -> 22 [size =\"11163648\"]\n  18 -> 23 [size =\"11163648\"]\n  18 -> 26 [size =\"11163648\"]\n  18 -> 28 [size =\"11163648\"]\n  19 [size=\"147927040\", alpha=\"0.05\", expect_size=\"44378112\"] \n  19 -> 23 [size =\"44378112\"]\n  19 -> 28 [size =\"44378112\"]\n  20 [size=\"101099520\", alpha=\"0.15\", expect_size=\"30329856\"] \n  20 -> 21 [size =\"30329856\"]\n  20 -> 26 [size =\"30329856\"]\n  20 -> 27 [size =\"30329856\"]\n  21 [size=\"137117013\", alpha=\"0.04\", expect_size=\"41135104\"] \n  21 -> 29 [size =\"41135104\"]\n  21 -> 30 [size =\"41135104\"]\n  21 -> 31 [size =\"41135104\"]\n  22 [size=\"135157760\", alpha=\"0.06\", expect_size=\"40547328\"] \n  22 -> 31 [size =\"40547328\"]\n  22 -> 32 [size =\"40547328\"]\n  23 [size=\"38560427\", alpha=\"0.04\", expect_size=\"11568128\"] \n  23 -> 29 [size =\"11568128\"]\n  23 -> 31 [size =\"11568128\"]\n  24 [size=\"144558080\", alpha=\"0.13\", expect_size=\"43367424\"] \n  24 -> 29 [size =\"43367424\"]\n  24 -> 30 [size =\"43367424\"]\n  25 [size=\"81472853\", alpha=\"0.04\", expect_size=\"24441856\"] \n  26 [size=\"115715413\", alpha=\"0.03\", expect_size=\"34714624\"] \n  26 -> 31 [size =\"34714624\"]\n  27 [size=\"144428373\", alpha=\"0.07\", expect_size=\"43328512\"] \n  27 -> 29 [size =\"43328512\"]\n  27 -> 30 [size =\"43328512\"]\n  27 -> 32 [size =\"43328512\"]\n  28 [size=\"49059840\", alpha=\"0.13\", expect_size=\"14717952\"] \n  28 -> 31 [size =\"14717952\"]\n  28 -> 32 [size =\"14717952\"]\n  29 [size=\"40826880\", alpha=\"0.13\", expect_size=\"12248064\"] \n  29 -> 34 [size =\"12248064\"]\n  29 -> 35 [size =\"12248064\"]\n  29 -> 36 [size =\"12248064\"]\n  30 [size=\"77783040\", alpha=\"0.12\", expect_size=\"23334912\"] \n  30 -> 34 [size =\"23334912\"]\n  31 [size=\"39686827\", alpha=\"0.12\", expect_size=\"11906048\"] \n  31 -> 33 [size =\"11906048\"]\n  31 -> 36 [size =\"11906048\"]\n  32 [size=\"74687147\", alpha=\"0.11\", expect_size=\"22406144\"] \n  32 -> 33 [size =\"22406144\"]\n  32 -> 36 [size =\"22406144\"]\n  33 [size=\"117944320\", alpha=\"0.12\", expect_size=\"35383296\"] \n  33 -> 37 [size =\"35383296\"]\n  33 -> 39 [size =\"35383296\"]\n  33 -> 40 [size =\"35383296\"]\n  33 -> 41 [size =\"35383296\"]\n  33 -> 42 [size =\"35383296\"]\n  34 [size=\"146930347\", alpha=\"0.18\", expect_size=\"44079104\"] \n  34 -> 41 [size =\"44079104\"]\n  34 -> 42 [size =\"44079104\"]\n  35 [size=\"93532160\", alpha=\"0.20\", expect_size=\"28059648\"] \n  35 -> 38 [size =\"28059648\"]\n  35 -> 42 [size =\"28059648\"]\n  36 [size=\"124617387\", alpha=\"0.03\", expect_size=\"37385216\"] \n  36 -> 40 [size =\"37385216\"]\n  36 -> 41 [size =\"37385216\"]\n  37 [size=\"149674667\", alpha=\"0.09\", expect_size=\"44902400\"] \n  37 -> 45 [size =\"44902400\"]\n  38 [size=\"44506453\", alpha=\"0.18\", expect_size=\"13351936\"] \n  38 -> 45 [size =\"13351936\"]\n  39 [size=\"149497173\", alpha=\"0.04\", expect_size=\"44849152\"] \n  39 -> 43 [size =\"44849152\"]\n  39 -> 45 [size =\"44849152\"]\n  40 [size=\"97440427\", alpha=\"0.20\", expect_size=\"29232128\"] \n  40 -> 44 [size =\"29232128\"]\n  40 -> 45 [size =\"29232128\"]\n  41 [size=\"32262827\", alpha=\"0.11\", expect_size=\"9678848\"] \n  42 [size=\"127972693\", alpha=\"0.17\", expect_size=\"38391808\"] \n  42 -> 43 [size =\"38391808\"]\n  42 -> 44 [size =\"38391808\"]\n  43 [size=\"59777707\", alpha=\"0.06\", expect_size=\"17933312\"] \n  44 [size=\"153429333\", alpha=\"0.12\", expect_size=\"46028800\"] \n  45 [size=\"135888213\", alpha=\"0.05\", expect_size=\"40766464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20385280\", alpha=\"0.02\", expect_size=\"8154112\"] \n  1 -> 2 [size =\"8154112\"]\n  2 [size=\"30612480\", alpha=\"0.19\", expect_size=\"12244992\"] \n  2 -> 3 [size =\"12244992\"]\n  3 [size=\"112629760\", alpha=\"0.13\", expect_size=\"45051904\"] \n  3 -> 4 [size =\"45051904\"]\n  4 [size=\"130849280\", alpha=\"0.03\", expect_size=\"52339712\"] \n  4 -> 5 [size =\"52339712\"]\n  5 [size=\"26496000\", alpha=\"0.16\", expect_size=\"10598400\"] \n  5 -> 6 [size =\"10598400\"]\n  6 [size=\"117875200\", alpha=\"0.08\", expect_size=\"47150080\"] \n  6 -> 7 [size =\"47150080\"]\n  7 [size=\"129548800\", alpha=\"0.02\", expect_size=\"51819520\"] \n  7 -> 8 [size =\"51819520\"]\n  8 [size=\"36718080\", alpha=\"0.02\", expect_size=\"14687232\"] \n  8 -> 9 [size =\"14687232\"]\n  9 [size=\"94540800\", alpha=\"0.20\", expect_size=\"37816320\"] \n  9 -> 10 [size =\"37816320\"]\n  10 [size=\"15828480\", alpha=\"0.01\", expect_size=\"6331392\"] \n  10 -> 11 [size =\"6331392\"]\n  11 [size=\"23674880\", alpha=\"0.07\", expect_size=\"9469952\"] \n  11 -> 12 [size =\"9469952\"]\n  12 [size=\"37332480\", alpha=\"0.09\", expect_size=\"14932992\"] \n  12 -> 13 [size =\"14932992\"]\n  13 [size=\"33098240\", alpha=\"0.05\", expect_size=\"13239296\"] \n  13 -> 14 [size =\"13239296\"]\n  14 [size=\"108459520\", alpha=\"0.10\", expect_size=\"43383808\"] \n  14 -> 15 [size =\"43383808\"]\n  15 [size=\"127859200\", alpha=\"0.06\", expect_size=\"51143680\"] \n  15 -> 16 [size =\"51143680\"]\n  16 [size=\"105159680\", alpha=\"0.07\", expect_size=\"42063872\"] \n  16 -> 17 [size =\"42063872\"]\n  17 [size=\"34045440\", alpha=\"0.11\", expect_size=\"13618176\"] \n  17 -> 18 [size =\"13618176\"]\n  18 [size=\"48450560\", alpha=\"0.10\", expect_size=\"19380224\"] \n  18 -> 19 [size =\"19380224\"]\n  19 [size=\"59294720\", alpha=\"0.16\", expect_size=\"23717888\"] \n  19 -> 20 [size =\"23717888\"]\n  20 [size=\"57520640\", alpha=\"0.06\", expect_size=\"23008256\"] \n  20 -> 21 [size =\"23008256\"]\n  21 [size=\"66163200\", alpha=\"0.17\", expect_size=\"26465280\"] \n  21 -> 22 [size =\"26465280\"]\n  22 [size=\"108864000\", alpha=\"0.12\", expect_size=\"43545600\"] \n  22 -> 23 [size =\"43545600\"]\n  23 [size=\"44446720\", alpha=\"0.03\", expect_size=\"17778688\"] \n  23 -> 24 [size =\"17778688\"]\n  24 [size=\"75494400\", alpha=\"0.14\", expect_size=\"30197760\"] \n  24 -> 25 [size =\"30197760\"]\n  25 [size=\"14686720\", alpha=\"0.08\", expect_size=\"5874688\"] \n  25 -> 26 [size =\"5874688\"]\n  26 [size=\"49305600\", alpha=\"0.19\", expect_size=\"19722240\"] \n  26 -> 27 [size =\"19722240\"]\n  27 [size=\"93071360\", alpha=\"0.10\", expect_size=\"37228544\"] \n  27 -> 28 [size =\"37228544\"]\n  28 [size=\"40217600\", alpha=\"0.05\", expect_size=\"16087040\"] \n  28 -> 29 [size =\"16087040\"]\n  29 [size=\"100280320\", alpha=\"0.14\", expect_size=\"40112128\"] \n  29 -> 30 [size =\"40112128\"]\n  30 [size=\"75527680\", alpha=\"0.03\", expect_size=\"30211072\"] \n  30 -> 31 [size =\"30211072\"]\n  31 [size=\"110958080\", alpha=\"0.14\", expect_size=\"44383232\"] \n  31 -> 32 [size =\"44383232\"]\n  32 [size=\"95884800\", alpha=\"0.10\", expect_size=\"38353920\"] \n  32 -> 33 [size =\"38353920\"]\n  33 [size=\"47818240\", alpha=\"0.08\", expect_size=\"19127296\"] \n  33 -> 34 [size =\"19127296\"]\n  34 [size=\"66275840\", alpha=\"0.03\", expect_size=\"26510336\"] \n  34 -> 35 [size =\"26510336\"]\n  35 [size=\"33077760\", alpha=\"0.17\", expect_size=\"13231104\"] \n  35 -> 36 [size =\"13231104\"]\n  36 [size=\"79575040\", alpha=\"0.07\", expect_size=\"31830016\"] \n  36 -> 37 [size =\"31830016\"]\n  37 [size=\"74608640\", alpha=\"0.00\", expect_size=\"29843456\"] \n  37 -> 38 [size =\"29843456\"]\n  38 [size=\"16655360\", alpha=\"0.20\", expect_size=\"6662144\"] \n  38 -> 39 [size =\"6662144\"]\n  39 [size=\"47296000\", alpha=\"0.07\", expect_size=\"18918400\"] \n  39 -> 40 [size =\"18918400\"]\n  40 [size=\"129999360\", alpha=\"0.01\", expect_size=\"51999744\"] \n  40 -> 41 [size =\"51999744\"]\n  41 [size=\"31559680\", alpha=\"0.05\", expect_size=\"12623872\"] \n  41 -> 42 [size =\"12623872\"]\n  42 [size=\"116436480\", alpha=\"0.05\", expect_size=\"46574592\"] \n  42 -> 43 [size =\"46574592\"]\n  43 [size=\"54963200\", alpha=\"0.10\", expect_size=\"21985280\"] \n  43 -> 44 [size =\"21985280\"]\n  44 [size=\"103063040\", alpha=\"0.06\", expect_size=\"41225216\"] \n  44 -> 45 [size =\"41225216\"]\n  45 [size=\"120158720\", alpha=\"0.02\", expect_size=\"48063488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159218347\", alpha=\"0.17\", expect_size=\"47765504\"] \n  1 -> 29 [size =\"47765504\"]\n  1 -> 30 [size =\"47765504\"]\n  1 -> 31 [size =\"47765504\"]\n  2 [size=\"167591253\", alpha=\"0.00\", expect_size=\"50277376\"] \n  2 -> 31 [size =\"50277376\"]\n  2 -> 35 [size =\"50277376\"]\n  2 -> 39 [size =\"50277376\"]\n  3 [size=\"105915733\", alpha=\"0.04\", expect_size=\"31774720\"] \n  3 -> 29 [size =\"31774720\"]\n  3 -> 32 [size =\"31774720\"]\n  3 -> 34 [size =\"31774720\"]\n  3 -> 35 [size =\"31774720\"]\n  3 -> 38 [size =\"31774720\"]\n  3 -> 39 [size =\"31774720\"]\n  3 -> 40 [size =\"31774720\"]\n  3 -> 43 [size =\"31774720\"]\n  3 -> 45 [size =\"31774720\"]\n  4 [size=\"150766933\", alpha=\"0.05\", expect_size=\"45230080\"] \n  4 -> 31 [size =\"45230080\"]\n  4 -> 32 [size =\"45230080\"]\n  4 -> 37 [size =\"45230080\"]\n  4 -> 38 [size =\"45230080\"]\n  4 -> 39 [size =\"45230080\"]\n  5 [size=\"68106240\", alpha=\"0.07\", expect_size=\"20431872\"] \n  5 -> 30 [size =\"20431872\"]\n  5 -> 33 [size =\"20431872\"]\n  6 [size=\"139424427\", alpha=\"0.06\", expect_size=\"41827328\"] \n  6 -> 31 [size =\"41827328\"]\n  6 -> 33 [size =\"41827328\"]\n  6 -> 37 [size =\"41827328\"]\n  6 -> 38 [size =\"41827328\"]\n  6 -> 40 [size =\"41827328\"]\n  7 [size=\"33351680\", alpha=\"0.04\", expect_size=\"10005504\"] \n  7 -> 33 [size =\"10005504\"]\n  7 -> 33 [size =\"10005504\"]\n  7 -> 34 [size =\"10005504\"]\n  7 -> 36 [size =\"10005504\"]\n  7 -> 38 [size =\"10005504\"]\n  8 [size=\"140943360\", alpha=\"0.03\", expect_size=\"42283008\"] \n  8 -> 31 [size =\"42283008\"]\n  8 -> 32 [size =\"42283008\"]\n  8 -> 36 [size =\"42283008\"]\n  8 -> 38 [size =\"42283008\"]\n  8 -> 42 [size =\"42283008\"]\n  9 [size=\"51172693\", alpha=\"0.07\", expect_size=\"15351808\"] \n  9 -> 30 [size =\"15351808\"]\n  9 -> 35 [size =\"15351808\"]\n  9 -> 36 [size =\"15351808\"]\n  9 -> 41 [size =\"15351808\"]\n  9 -> 43 [size =\"15351808\"]\n  9 -> 44 [size =\"15351808\"]\n  9 -> 45 [size =\"15351808\"]\n  10 [size=\"144220160\", alpha=\"0.12\", expect_size=\"43266048\"] \n  10 -> 29 [size =\"43266048\"]\n  10 -> 30 [size =\"43266048\"]\n  10 -> 32 [size =\"43266048\"]\n  10 -> 37 [size =\"43266048\"]\n  10 -> 38 [size =\"43266048\"]\n  10 -> 41 [size =\"43266048\"]\n  10 -> 42 [size =\"43266048\"]\n  11 [size=\"146046293\", alpha=\"0.02\", expect_size=\"43813888\"] \n  11 -> 36 [size =\"43813888\"]\n  12 [size=\"120965120\", alpha=\"0.07\", expect_size=\"36289536\"] \n  12 -> 31 [size =\"36289536\"]\n  12 -> 32 [size =\"36289536\"]\n  12 -> 33 [size =\"36289536\"]\n  12 -> 37 [size =\"36289536\"]\n  12 -> 42 [size =\"36289536\"]\n  13 [size=\"123702613\", alpha=\"0.00\", expect_size=\"37110784\"] \n  13 -> 29 [size =\"37110784\"]\n  13 -> 34 [size =\"37110784\"]\n  13 -> 37 [size =\"37110784\"]\n  13 -> 38 [size =\"37110784\"]\n  13 -> 40 [size =\"37110784\"]\n  14 [size=\"155009707\", alpha=\"0.10\", expect_size=\"46502912\"] \n  14 -> 29 [size =\"46502912\"]\n  14 -> 34 [size =\"46502912\"]\n  14 -> 37 [size =\"46502912\"]\n  14 -> 40 [size =\"46502912\"]\n  15 [size=\"34443947\", alpha=\"0.09\", expect_size=\"10333184\"] \n  15 -> 32 [size =\"10333184\"]\n  15 -> 33 [size =\"10333184\"]\n  16 [size=\"90378240\", alpha=\"0.02\", expect_size=\"27113472\"] \n  16 -> 30 [size =\"27113472\"]\n  16 -> 40 [size =\"27113472\"]\n  17 [size=\"141397333\", alpha=\"0.01\", expect_size=\"42419200\"] \n  17 -> 30 [size =\"42419200\"]\n  17 -> 38 [size =\"42419200\"]\n  17 -> 40 [size =\"42419200\"]\n  17 -> 42 [size =\"42419200\"]\n  18 [size=\"173199360\", alpha=\"0.04\", expect_size=\"51959808\"] \n  18 -> 30 [size =\"51959808\"]\n  18 -> 31 [size =\"51959808\"]\n  18 -> 33 [size =\"51959808\"]\n  18 -> 37 [size =\"51959808\"]\n  18 -> 39 [size =\"51959808\"]\n  18 -> 40 [size =\"51959808\"]\n  19 [size=\"36065280\", alpha=\"0.00\", expect_size=\"10819584\"] \n  19 -> 29 [size =\"10819584\"]\n  19 -> 30 [size =\"10819584\"]\n  19 -> 32 [size =\"10819584\"]\n  19 -> 37 [size =\"10819584\"]\n  19 -> 40 [size =\"10819584\"]\n  19 -> 42 [size =\"10819584\"]\n  20 [size=\"90951680\", alpha=\"0.04\", expect_size=\"27285504\"] \n  20 -> 29 [size =\"27285504\"]\n  20 -> 32 [size =\"27285504\"]\n  20 -> 38 [size =\"27285504\"]\n  20 -> 40 [size =\"27285504\"]\n  21 [size=\"30750720\", alpha=\"0.06\", expect_size=\"9225216\"] \n  21 -> 29 [size =\"9225216\"]\n  21 -> 30 [size =\"9225216\"]\n  21 -> 33 [size =\"9225216\"]\n  21 -> 34 [size =\"9225216\"]\n  21 -> 38 [size =\"9225216\"]\n  21 -> 39 [size =\"9225216\"]\n  21 -> 40 [size =\"9225216\"]\n  21 -> 42 [size =\"9225216\"]\n  21 -> 43 [size =\"9225216\"]\n  22 [size=\"46878720\", alpha=\"0.07\", expect_size=\"14063616\"] \n  22 -> 29 [size =\"14063616\"]\n  22 -> 33 [size =\"14063616\"]\n  22 -> 34 [size =\"14063616\"]\n  22 -> 36 [size =\"14063616\"]\n  22 -> 39 [size =\"14063616\"]\n  23 [size=\"100352000\", alpha=\"0.19\", expect_size=\"30105600\"] \n  23 -> 32 [size =\"30105600\"]\n  23 -> 37 [size =\"30105600\"]\n  23 -> 38 [size =\"30105600\"]\n  23 -> 42 [size =\"30105600\"]\n  24 [size=\"100430507\", alpha=\"0.08\", expect_size=\"30129152\"] \n  24 -> 29 [size =\"30129152\"]\n  24 -> 30 [size =\"30129152\"]\n  24 -> 37 [size =\"30129152\"]\n  24 -> 40 [size =\"30129152\"]\n  24 -> 42 [size =\"30129152\"]\n  24 -> 43 [size =\"30129152\"]\n  25 [size=\"20794027\", alpha=\"0.03\", expect_size=\"6238208\"] \n  25 -> 31 [size =\"6238208\"]\n  25 -> 33 [size =\"6238208\"]\n  25 -> 34 [size =\"6238208\"]\n  25 -> 35 [size =\"6238208\"]\n  25 -> 37 [size =\"6238208\"]\n  25 -> 39 [size =\"6238208\"]\n  25 -> 40 [size =\"6238208\"]\n  25 -> 42 [size =\"6238208\"]\n  26 [size=\"93149867\", alpha=\"0.14\", expect_size=\"27944960\"] \n  26 -> 30 [size =\"27944960\"]\n  26 -> 31 [size =\"27944960\"]\n  26 -> 34 [size =\"27944960\"]\n  26 -> 35 [size =\"27944960\"]\n  26 -> 36 [size =\"27944960\"]\n  26 -> 42 [size =\"27944960\"]\n  27 [size=\"105263787\", alpha=\"0.07\", expect_size=\"31579136\"] \n  27 -> 29 [size =\"31579136\"]\n  27 -> 33 [size =\"31579136\"]\n  27 -> 36 [size =\"31579136\"]\n  27 -> 38 [size =\"31579136\"]\n  27 -> 40 [size =\"31579136\"]\n  27 -> 45 [size =\"31579136\"]\n  28 [size=\"114182827\", alpha=\"0.15\", expect_size=\"34254848\"] \n  28 -> 30 [size =\"34254848\"]\n  28 -> 31 [size =\"34254848\"]\n  28 -> 33 [size =\"34254848\"]\n  28 -> 38 [size =\"34254848\"]\n  28 -> 39 [size =\"34254848\"]\n  28 -> 40 [size =\"34254848\"]\n  29 [size=\"144960853\", alpha=\"0.08\", expect_size=\"43488256\"] \n  30 [size=\"148807680\", alpha=\"0.17\", expect_size=\"44642304\"] \n  31 [size=\"24057173\", alpha=\"0.03\", expect_size=\"7217152\"] \n  32 [size=\"69737813\", alpha=\"0.01\", expect_size=\"20921344\"] \n  33 [size=\"121395200\", alpha=\"0.13\", expect_size=\"36418560\"] \n  34 [size=\"110182400\", alpha=\"0.03\", expect_size=\"33054720\"] \n  35 [size=\"169390080\", alpha=\"0.14\", expect_size=\"50817024\"] \n  36 [size=\"35078827\", alpha=\"0.15\", expect_size=\"10523648\"] \n  37 [size=\"143769600\", alpha=\"0.12\", expect_size=\"43130880\"] \n  38 [size=\"39482027\", alpha=\"0.09\", expect_size=\"11844608\"] \n  39 [size=\"160259413\", alpha=\"0.07\", expect_size=\"48077824\"] \n  40 [size=\"67938987\", alpha=\"0.16\", expect_size=\"20381696\"] \n  41 [size=\"46557867\", alpha=\"0.06\", expect_size=\"13967360\"] \n  42 [size=\"67396267\", alpha=\"0.19\", expect_size=\"20218880\"] \n  43 [size=\"76656640\", alpha=\"0.03\", expect_size=\"22996992\"] \n  44 [size=\"23285760\", alpha=\"0.18\", expect_size=\"6985728\"] \n  45 [size=\"44817067\", alpha=\"0.13\", expect_size=\"13445120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52099072\", alpha=\"0.10\", expect_size=\"26049536\"] \n  1 -> 36 [size =\"26049536\"]\n  1 -> 38 [size =\"26049536\"]\n  1 -> 40 [size =\"26049536\"]\n  1 -> 42 [size =\"26049536\"]\n  1 -> 44 [size =\"26049536\"]\n  1 -> 45 [size =\"26049536\"]\n  2 [size=\"68546560\", alpha=\"0.07\", expect_size=\"34273280\"] \n  2 -> 35 [size =\"34273280\"]\n  2 -> 36 [size =\"34273280\"]\n  2 -> 39 [size =\"34273280\"]\n  2 -> 41 [size =\"34273280\"]\n  2 -> 42 [size =\"34273280\"]\n  2 -> 44 [size =\"34273280\"]\n  3 [size=\"72730624\", alpha=\"0.17\", expect_size=\"36365312\"] \n  3 -> 36 [size =\"36365312\"]\n  3 -> 41 [size =\"36365312\"]\n  3 -> 44 [size =\"36365312\"]\n  4 [size=\"32212992\", alpha=\"0.07\", expect_size=\"16106496\"] \n  4 -> 36 [size =\"16106496\"]\n  4 -> 41 [size =\"16106496\"]\n  4 -> 42 [size =\"16106496\"]\n  4 -> 44 [size =\"16106496\"]\n  5 [size=\"87590912\", alpha=\"0.18\", expect_size=\"43795456\"] \n  5 -> 33 [size =\"43795456\"]\n  5 -> 38 [size =\"43795456\"]\n  5 -> 39 [size =\"43795456\"]\n  5 -> 40 [size =\"43795456\"]\n  5 -> 41 [size =\"43795456\"]\n  5 -> 42 [size =\"43795456\"]\n  5 -> 43 [size =\"43795456\"]\n  6 [size=\"21495808\", alpha=\"0.13\", expect_size=\"10747904\"] \n  6 -> 33 [size =\"10747904\"]\n  6 -> 38 [size =\"10747904\"]\n  6 -> 41 [size =\"10747904\"]\n  6 -> 42 [size =\"10747904\"]\n  6 -> 43 [size =\"10747904\"]\n  7 [size=\"42723328\", alpha=\"0.02\", expect_size=\"21361664\"] \n  7 -> 33 [size =\"21361664\"]\n  7 -> 38 [size =\"21361664\"]\n  7 -> 40 [size =\"21361664\"]\n  7 -> 44 [size =\"21361664\"]\n  8 [size=\"48095232\", alpha=\"0.20\", expect_size=\"24047616\"] \n  8 -> 34 [size =\"24047616\"]\n  8 -> 36 [size =\"24047616\"]\n  8 -> 37 [size =\"24047616\"]\n  8 -> 38 [size =\"24047616\"]\n  8 -> 42 [size =\"24047616\"]\n  8 -> 43 [size =\"24047616\"]\n  9 [size=\"13975552\", alpha=\"0.07\", expect_size=\"6987776\"] \n  9 -> 36 [size =\"6987776\"]\n  9 -> 36 [size =\"6987776\"]\n  9 -> 38 [size =\"6987776\"]\n  9 -> 41 [size =\"6987776\"]\n  9 -> 42 [size =\"6987776\"]\n  9 -> 43 [size =\"6987776\"]\n  9 -> 44 [size =\"6987776\"]\n  10 [size=\"95852544\", alpha=\"0.20\", expect_size=\"47926272\"] \n  10 -> 36 [size =\"47926272\"]\n  10 -> 37 [size =\"47926272\"]\n  10 -> 38 [size =\"47926272\"]\n  10 -> 42 [size =\"47926272\"]\n  10 -> 42 [size =\"47926272\"]\n  10 -> 43 [size =\"47926272\"]\n  10 -> 44 [size =\"47926272\"]\n  11 [size=\"15710208\", alpha=\"0.15\", expect_size=\"7855104\"] \n  11 -> 37 [size =\"7855104\"]\n  11 -> 38 [size =\"7855104\"]\n  11 -> 44 [size =\"7855104\"]\n  11 -> 45 [size =\"7855104\"]\n  12 [size=\"61241344\", alpha=\"0.05\", expect_size=\"30620672\"] \n  12 -> 38 [size =\"30620672\"]\n  12 -> 44 [size =\"30620672\"]\n  13 [size=\"95926272\", alpha=\"0.07\", expect_size=\"47963136\"] \n  13 -> 36 [size =\"47963136\"]\n  13 -> 40 [size =\"47963136\"]\n  13 -> 42 [size =\"47963136\"]\n  13 -> 44 [size =\"47963136\"]\n  13 -> 45 [size =\"47963136\"]\n  14 [size=\"82903040\", alpha=\"0.17\", expect_size=\"41451520\"] \n  14 -> 34 [size =\"41451520\"]\n  14 -> 36 [size =\"41451520\"]\n  14 -> 40 [size =\"41451520\"]\n  15 [size=\"20420608\", alpha=\"0.19\", expect_size=\"10210304\"] \n  15 -> 33 [size =\"10210304\"]\n  15 -> 34 [size =\"10210304\"]\n  15 -> 37 [size =\"10210304\"]\n  15 -> 38 [size =\"10210304\"]\n  15 -> 44 [size =\"10210304\"]\n  16 [size=\"12234752\", alpha=\"0.03\", expect_size=\"6117376\"] \n  16 -> 37 [size =\"6117376\"]\n  16 -> 38 [size =\"6117376\"]\n  16 -> 40 [size =\"6117376\"]\n  16 -> 41 [size =\"6117376\"]\n  16 -> 44 [size =\"6117376\"]\n  17 [size=\"75751424\", alpha=\"0.19\", expect_size=\"37875712\"] \n  17 -> 43 [size =\"37875712\"]\n  17 -> 44 [size =\"37875712\"]\n  17 -> 45 [size =\"37875712\"]\n  18 [size=\"83464192\", alpha=\"0.07\", expect_size=\"41732096\"] \n  18 -> 33 [size =\"41732096\"]\n  18 -> 37 [size =\"41732096\"]\n  18 -> 42 [size =\"41732096\"]\n  18 -> 44 [size =\"41732096\"]\n  19 [size=\"82137088\", alpha=\"0.17\", expect_size=\"41068544\"] \n  19 -> 36 [size =\"41068544\"]\n  19 -> 41 [size =\"41068544\"]\n  19 -> 42 [size =\"41068544\"]\n  19 -> 44 [size =\"41068544\"]\n  20 [size=\"18948096\", alpha=\"0.07\", expect_size=\"9474048\"] \n  20 -> 36 [size =\"9474048\"]\n  20 -> 37 [size =\"9474048\"]\n  20 -> 41 [size =\"9474048\"]\n  21 [size=\"18399232\", alpha=\"0.06\", expect_size=\"9199616\"] \n  21 -> 36 [size =\"9199616\"]\n  21 -> 41 [size =\"9199616\"]\n  21 -> 41 [size =\"9199616\"]\n  21 -> 43 [size =\"9199616\"]\n  21 -> 44 [size =\"9199616\"]\n  21 -> 45 [size =\"9199616\"]\n  22 [size=\"91109376\", alpha=\"0.17\", expect_size=\"45554688\"] \n  22 -> 36 [size =\"45554688\"]\n  22 -> 38 [size =\"45554688\"]\n  22 -> 39 [size =\"45554688\"]\n  22 -> 42 [size =\"45554688\"]\n  22 -> 44 [size =\"45554688\"]\n  23 [size=\"19224576\", alpha=\"0.01\", expect_size=\"9612288\"] \n  23 -> 33 [size =\"9612288\"]\n  23 -> 36 [size =\"9612288\"]\n  23 -> 37 [size =\"9612288\"]\n  23 -> 38 [size =\"9612288\"]\n  23 -> 41 [size =\"9612288\"]\n  24 [size=\"50546688\", alpha=\"0.10\", expect_size=\"25273344\"] \n  24 -> 37 [size =\"25273344\"]\n  24 -> 41 [size =\"25273344\"]\n  24 -> 42 [size =\"25273344\"]\n  25 [size=\"34609152\", alpha=\"0.16\", expect_size=\"17304576\"] \n  25 -> 42 [size =\"17304576\"]\n  25 -> 43 [size =\"17304576\"]\n  25 -> 45 [size =\"17304576\"]\n  26 [size=\"30130176\", alpha=\"0.03\", expect_size=\"15065088\"] \n  26 -> 33 [size =\"15065088\"]\n  26 -> 34 [size =\"15065088\"]\n  26 -> 42 [size =\"15065088\"]\n  26 -> 45 [size =\"15065088\"]\n  27 [size=\"43743232\", alpha=\"0.18\", expect_size=\"21871616\"] \n  27 -> 36 [size =\"21871616\"]\n  27 -> 37 [size =\"21871616\"]\n  27 -> 38 [size =\"21871616\"]\n  28 [size=\"41166848\", alpha=\"0.00\", expect_size=\"20583424\"] \n  28 -> 36 [size =\"20583424\"]\n  28 -> 38 [size =\"20583424\"]\n  29 [size=\"73924608\", alpha=\"0.04\", expect_size=\"36962304\"] \n  29 -> 34 [size =\"36962304\"]\n  29 -> 36 [size =\"36962304\"]\n  29 -> 44 [size =\"36962304\"]\n  29 -> 45 [size =\"36962304\"]\n  30 [size=\"57839616\", alpha=\"0.05\", expect_size=\"28919808\"] \n  30 -> 33 [size =\"28919808\"]\n  30 -> 38 [size =\"28919808\"]\n  30 -> 39 [size =\"28919808\"]\n  30 -> 42 [size =\"28919808\"]\n  30 -> 43 [size =\"28919808\"]\n  30 -> 44 [size =\"28919808\"]\n  31 [size=\"89423872\", alpha=\"0.07\", expect_size=\"44711936\"] \n  31 -> 35 [size =\"44711936\"]\n  31 -> 36 [size =\"44711936\"]\n  31 -> 38 [size =\"44711936\"]\n  31 -> 45 [size =\"44711936\"]\n  32 [size=\"21549056\", alpha=\"0.01\", expect_size=\"10774528\"] \n  32 -> 36 [size =\"10774528\"]\n  32 -> 36 [size =\"10774528\"]\n  32 -> 37 [size =\"10774528\"]\n  32 -> 42 [size =\"10774528\"]\n  32 -> 44 [size =\"10774528\"]\n  32 -> 45 [size =\"10774528\"]\n  33 [size=\"101017600\", alpha=\"0.12\", expect_size=\"50508800\"] \n  34 [size=\"12589056\", alpha=\"0.19\", expect_size=\"6294528\"] \n  35 [size=\"61106176\", alpha=\"0.07\", expect_size=\"30553088\"] \n  36 [size=\"40560640\", alpha=\"0.16\", expect_size=\"20280320\"] \n  37 [size=\"56334336\", alpha=\"0.19\", expect_size=\"28167168\"] \n  38 [size=\"46295040\", alpha=\"0.18\", expect_size=\"23147520\"] \n  39 [size=\"48050176\", alpha=\"0.11\", expect_size=\"24025088\"] \n  40 [size=\"65091584\", alpha=\"0.07\", expect_size=\"32545792\"] \n  41 [size=\"88416256\", alpha=\"0.04\", expect_size=\"44208128\"] \n  42 [size=\"28874752\", alpha=\"0.18\", expect_size=\"14437376\"] \n  43 [size=\"31598592\", alpha=\"0.14\", expect_size=\"15799296\"] \n  44 [size=\"87656448\", alpha=\"0.19\", expect_size=\"43828224\"] \n  45 [size=\"80723968\", alpha=\"0.08\", expect_size=\"40361984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78023680\", alpha=\"0.07\", expect_size=\"31209472\"] \n  1 -> 38 [size =\"31209472\"]\n  1 -> 40 [size =\"31209472\"]\n  1 -> 42 [size =\"31209472\"]\n  1 -> 44 [size =\"31209472\"]\n  1 -> 45 [size =\"31209472\"]\n  2 [size=\"79390720\", alpha=\"0.19\", expect_size=\"31756288\"] \n  2 -> 38 [size =\"31756288\"]\n  2 -> 39 [size =\"31756288\"]\n  2 -> 40 [size =\"31756288\"]\n  2 -> 41 [size =\"31756288\"]\n  2 -> 42 [size =\"31756288\"]\n  2 -> 45 [size =\"31756288\"]\n  3 [size=\"104737280\", alpha=\"0.18\", expect_size=\"41894912\"] \n  3 -> 38 [size =\"41894912\"]\n  3 -> 39 [size =\"41894912\"]\n  3 -> 40 [size =\"41894912\"]\n  3 -> 42 [size =\"41894912\"]\n  3 -> 42 [size =\"41894912\"]\n  3 -> 44 [size =\"41894912\"]\n  3 -> 45 [size =\"41894912\"]\n  4 [size=\"20375040\", alpha=\"0.09\", expect_size=\"8150016\"] \n  4 -> 38 [size =\"8150016\"]\n  4 -> 42 [size =\"8150016\"]\n  4 -> 43 [size =\"8150016\"]\n  4 -> 44 [size =\"8150016\"]\n  4 -> 45 [size =\"8150016\"]\n  5 [size=\"108602880\", alpha=\"0.06\", expect_size=\"43441152\"] \n  5 -> 37 [size =\"43441152\"]\n  5 -> 38 [size =\"43441152\"]\n  5 -> 39 [size =\"43441152\"]\n  5 -> 40 [size =\"43441152\"]\n  5 -> 43 [size =\"43441152\"]\n  5 -> 44 [size =\"43441152\"]\n  6 [size=\"31567360\", alpha=\"0.00\", expect_size=\"12626944\"] \n  6 -> 40 [size =\"12626944\"]\n  6 -> 41 [size =\"12626944\"]\n  7 [size=\"72092160\", alpha=\"0.00\", expect_size=\"28836864\"] \n  7 -> 40 [size =\"28836864\"]\n  7 -> 41 [size =\"28836864\"]\n  7 -> 45 [size =\"28836864\"]\n  8 [size=\"31664640\", alpha=\"0.09\", expect_size=\"12665856\"] \n  8 -> 40 [size =\"12665856\"]\n  8 -> 41 [size =\"12665856\"]\n  8 -> 42 [size =\"12665856\"]\n  8 -> 45 [size =\"12665856\"]\n  9 [size=\"128289280\", alpha=\"0.11\", expect_size=\"51315712\"] \n  9 -> 38 [size =\"51315712\"]\n  9 -> 40 [size =\"51315712\"]\n  9 -> 41 [size =\"51315712\"]\n  9 -> 44 [size =\"51315712\"]\n  10 [size=\"78709760\", alpha=\"0.08\", expect_size=\"31483904\"] \n  10 -> 39 [size =\"31483904\"]\n  10 -> 41 [size =\"31483904\"]\n  10 -> 45 [size =\"31483904\"]\n  11 [size=\"76533760\", alpha=\"0.07\", expect_size=\"30613504\"] \n  11 -> 38 [size =\"30613504\"]\n  11 -> 39 [size =\"30613504\"]\n  11 -> 41 [size =\"30613504\"]\n  11 -> 42 [size =\"30613504\"]\n  11 -> 43 [size =\"30613504\"]\n  11 -> 45 [size =\"30613504\"]\n  12 [size=\"118520320\", alpha=\"0.11\", expect_size=\"47408128\"] \n  12 -> 40 [size =\"47408128\"]\n  12 -> 42 [size =\"47408128\"]\n  12 -> 44 [size =\"47408128\"]\n  13 [size=\"114255360\", alpha=\"0.06\", expect_size=\"45702144\"] \n  13 -> 37 [size =\"45702144\"]\n  13 -> 40 [size =\"45702144\"]\n  13 -> 41 [size =\"45702144\"]\n  13 -> 43 [size =\"45702144\"]\n  13 -> 44 [size =\"45702144\"]\n  13 -> 45 [size =\"45702144\"]\n  14 [size=\"101073920\", alpha=\"0.12\", expect_size=\"40429568\"] \n  14 -> 40 [size =\"40429568\"]\n  14 -> 41 [size =\"40429568\"]\n  14 -> 41 [size =\"40429568\"]\n  14 -> 42 [size =\"40429568\"]\n  14 -> 43 [size =\"40429568\"]\n  14 -> 45 [size =\"40429568\"]\n  15 [size=\"36183040\", alpha=\"0.13\", expect_size=\"14473216\"] \n  15 -> 41 [size =\"14473216\"]\n  16 [size=\"69952000\", alpha=\"0.05\", expect_size=\"27980800\"] \n  16 -> 40 [size =\"27980800\"]\n  16 -> 42 [size =\"27980800\"]\n  16 -> 43 [size =\"27980800\"]\n  16 -> 44 [size =\"27980800\"]\n  16 -> 45 [size =\"27980800\"]\n  17 [size=\"70906880\", alpha=\"0.14\", expect_size=\"28362752\"] \n  17 -> 41 [size =\"28362752\"]\n  17 -> 43 [size =\"28362752\"]\n  18 [size=\"70963200\", alpha=\"0.01\", expect_size=\"28385280\"] \n  18 -> 38 [size =\"28385280\"]\n  18 -> 40 [size =\"28385280\"]\n  18 -> 41 [size =\"28385280\"]\n  18 -> 43 [size =\"28385280\"]\n  19 [size=\"125191680\", alpha=\"0.08\", expect_size=\"50076672\"] \n  19 -> 40 [size =\"50076672\"]\n  19 -> 41 [size =\"50076672\"]\n  19 -> 42 [size =\"50076672\"]\n  20 [size=\"70103040\", alpha=\"0.03\", expect_size=\"28041216\"] \n  20 -> 38 [size =\"28041216\"]\n  20 -> 41 [size =\"28041216\"]\n  20 -> 44 [size =\"28041216\"]\n  21 [size=\"119196160\", alpha=\"0.10\", expect_size=\"47678464\"] \n  21 -> 40 [size =\"47678464\"]\n  21 -> 44 [size =\"47678464\"]\n  21 -> 45 [size =\"47678464\"]\n  22 [size=\"40847360\", alpha=\"0.07\", expect_size=\"16338944\"] \n  22 -> 38 [size =\"16338944\"]\n  22 -> 40 [size =\"16338944\"]\n  22 -> 41 [size =\"16338944\"]\n  22 -> 42 [size =\"16338944\"]\n  22 -> 43 [size =\"16338944\"]\n  22 -> 44 [size =\"16338944\"]\n  23 [size=\"103296000\", alpha=\"0.20\", expect_size=\"41318400\"] \n  23 -> 40 [size =\"41318400\"]\n  23 -> 41 [size =\"41318400\"]\n  23 -> 42 [size =\"41318400\"]\n  23 -> 43 [size =\"41318400\"]\n  23 -> 44 [size =\"41318400\"]\n  23 -> 44 [size =\"41318400\"]\n  23 -> 45 [size =\"41318400\"]\n  24 [size=\"20339200\", alpha=\"0.14\", expect_size=\"8135680\"] \n  24 -> 40 [size =\"8135680\"]\n  24 -> 42 [size =\"8135680\"]\n  24 -> 43 [size =\"8135680\"]\n  24 -> 44 [size =\"8135680\"]\n  24 -> 44 [size =\"8135680\"]\n  25 [size=\"91584000\", alpha=\"0.04\", expect_size=\"36633600\"] \n  25 -> 42 [size =\"36633600\"]\n  25 -> 45 [size =\"36633600\"]\n  26 [size=\"50419200\", alpha=\"0.18\", expect_size=\"20167680\"] \n  26 -> 39 [size =\"20167680\"]\n  26 -> 41 [size =\"20167680\"]\n  26 -> 45 [size =\"20167680\"]\n  27 [size=\"78392320\", alpha=\"0.01\", expect_size=\"31356928\"] \n  27 -> 40 [size =\"31356928\"]\n  27 -> 41 [size =\"31356928\"]\n  27 -> 42 [size =\"31356928\"]\n  27 -> 44 [size =\"31356928\"]\n  28 [size=\"41080320\", alpha=\"0.08\", expect_size=\"16432128\"] \n  28 -> 41 [size =\"16432128\"]\n  28 -> 42 [size =\"16432128\"]\n  28 -> 44 [size =\"16432128\"]\n  28 -> 45 [size =\"16432128\"]\n  29 [size=\"44533760\", alpha=\"0.14\", expect_size=\"17813504\"] \n  29 -> 38 [size =\"17813504\"]\n  29 -> 39 [size =\"17813504\"]\n  29 -> 41 [size =\"17813504\"]\n  30 [size=\"93767680\", alpha=\"0.11\", expect_size=\"37507072\"] \n  30 -> 38 [size =\"37507072\"]\n  30 -> 40 [size =\"37507072\"]\n  30 -> 41 [size =\"37507072\"]\n  30 -> 45 [size =\"37507072\"]\n  31 [size=\"114122240\", alpha=\"0.19\", expect_size=\"45648896\"] \n  31 -> 38 [size =\"45648896\"]\n  31 -> 41 [size =\"45648896\"]\n  31 -> 42 [size =\"45648896\"]\n  31 -> 43 [size =\"45648896\"]\n  31 -> 45 [size =\"45648896\"]\n  32 [size=\"52549120\", alpha=\"0.05\", expect_size=\"21019648\"] \n  32 -> 38 [size =\"21019648\"]\n  32 -> 41 [size =\"21019648\"]\n  32 -> 42 [size =\"21019648\"]\n  32 -> 43 [size =\"21019648\"]\n  32 -> 44 [size =\"21019648\"]\n  33 [size=\"93301760\", alpha=\"0.08\", expect_size=\"37320704\"] \n  33 -> 42 [size =\"37320704\"]\n  33 -> 44 [size =\"37320704\"]\n  33 -> 45 [size =\"37320704\"]\n  34 [size=\"92078080\", alpha=\"0.06\", expect_size=\"36831232\"] \n  34 -> 37 [size =\"36831232\"]\n  34 -> 38 [size =\"36831232\"]\n  34 -> 40 [size =\"36831232\"]\n  34 -> 41 [size =\"36831232\"]\n  34 -> 42 [size =\"36831232\"]\n  34 -> 45 [size =\"36831232\"]\n  35 [size=\"56148480\", alpha=\"0.08\", expect_size=\"22459392\"] \n  35 -> 37 [size =\"22459392\"]\n  35 -> 38 [size =\"22459392\"]\n  35 -> 40 [size =\"22459392\"]\n  35 -> 42 [size =\"22459392\"]\n  35 -> 42 [size =\"22459392\"]\n  35 -> 43 [size =\"22459392\"]\n  35 -> 44 [size =\"22459392\"]\n  35 -> 45 [size =\"22459392\"]\n  36 [size=\"81008640\", alpha=\"0.19\", expect_size=\"32403456\"] \n  36 -> 38 [size =\"32403456\"]\n  36 -> 40 [size =\"32403456\"]\n  36 -> 40 [size =\"32403456\"]\n  36 -> 41 [size =\"32403456\"]\n  36 -> 45 [size =\"32403456\"]\n  37 [size=\"67156480\", alpha=\"0.00\", expect_size=\"26862592\"] \n  38 [size=\"73582080\", alpha=\"0.11\", expect_size=\"29432832\"] \n  39 [size=\"118840320\", alpha=\"0.02\", expect_size=\"47536128\"] \n  40 [size=\"82186240\", alpha=\"0.01\", expect_size=\"32874496\"] \n  41 [size=\"29222400\", alpha=\"0.19\", expect_size=\"11688960\"] \n  42 [size=\"23375360\", alpha=\"0.01\", expect_size=\"9350144\"] \n  43 [size=\"52096000\", alpha=\"0.19\", expect_size=\"20838400\"] \n  44 [size=\"98567680\", alpha=\"0.18\", expect_size=\"39427072\"] \n  45 [size=\"14830080\", alpha=\"0.10\", expect_size=\"5932032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131008000\", alpha=\"0.11\", expect_size=\"52403200\"] \n  1 -> 13 [size =\"52403200\"]\n  1 -> 14 [size =\"52403200\"]\n  1 -> 20 [size =\"52403200\"]\n  1 -> 22 [size =\"52403200\"]\n  2 [size=\"58275840\", alpha=\"0.08\", expect_size=\"23310336\"] \n  2 -> 22 [size =\"23310336\"]\n  3 [size=\"116884480\", alpha=\"0.11\", expect_size=\"46753792\"] \n  3 -> 11 [size =\"46753792\"]\n  3 -> 20 [size =\"46753792\"]\n  4 [size=\"46848000\", alpha=\"0.03\", expect_size=\"18739200\"] \n  4 -> 11 [size =\"18739200\"]\n  4 -> 13 [size =\"18739200\"]\n  4 -> 14 [size =\"18739200\"]\n  4 -> 16 [size =\"18739200\"]\n  4 -> 17 [size =\"18739200\"]\n  4 -> 20 [size =\"18739200\"]\n  5 [size=\"34001920\", alpha=\"0.16\", expect_size=\"13600768\"] \n  5 -> 14 [size =\"13600768\"]\n  5 -> 17 [size =\"13600768\"]\n  6 [size=\"88064000\", alpha=\"0.08\", expect_size=\"35225600\"] \n  6 -> 12 [size =\"35225600\"]\n  6 -> 16 [size =\"35225600\"]\n  6 -> 18 [size =\"35225600\"]\n  7 [size=\"117921280\", alpha=\"0.18\", expect_size=\"47168512\"] \n  7 -> 12 [size =\"47168512\"]\n  7 -> 15 [size =\"47168512\"]\n  7 -> 17 [size =\"47168512\"]\n  7 -> 19 [size =\"47168512\"]\n  7 -> 20 [size =\"47168512\"]\n  8 [size=\"117258240\", alpha=\"0.14\", expect_size=\"46903296\"] \n  8 -> 12 [size =\"46903296\"]\n  8 -> 14 [size =\"46903296\"]\n  8 -> 17 [size =\"46903296\"]\n  8 -> 18 [size =\"46903296\"]\n  8 -> 19 [size =\"46903296\"]\n  9 [size=\"91952640\", alpha=\"0.16\", expect_size=\"36781056\"] \n  9 -> 18 [size =\"36781056\"]\n  9 -> 21 [size =\"36781056\"]\n  10 [size=\"127912960\", alpha=\"0.17\", expect_size=\"51165184\"] \n  10 -> 19 [size =\"51165184\"]\n  11 [size=\"35970560\", alpha=\"0.05\", expect_size=\"14388224\"] \n  11 -> 25 [size =\"14388224\"]\n  11 -> 26 [size =\"14388224\"]\n  11 -> 29 [size =\"14388224\"]\n  12 [size=\"100833280\", alpha=\"0.14\", expect_size=\"40333312\"] \n  12 -> 27 [size =\"40333312\"]\n  12 -> 28 [size =\"40333312\"]\n  12 -> 29 [size =\"40333312\"]\n  13 [size=\"30330880\", alpha=\"0.16\", expect_size=\"12132352\"] \n  13 -> 24 [size =\"12132352\"]\n  13 -> 26 [size =\"12132352\"]\n  13 -> 27 [size =\"12132352\"]\n  13 -> 28 [size =\"12132352\"]\n  13 -> 31 [size =\"12132352\"]\n  14 [size=\"94942720\", alpha=\"0.05\", expect_size=\"37977088\"] \n  14 -> 23 [size =\"37977088\"]\n  14 -> 26 [size =\"37977088\"]\n  14 -> 30 [size =\"37977088\"]\n  15 [size=\"111764480\", alpha=\"0.05\", expect_size=\"44705792\"] \n  15 -> 23 [size =\"44705792\"]\n  15 -> 27 [size =\"44705792\"]\n  15 -> 31 [size =\"44705792\"]\n  16 [size=\"90951680\", alpha=\"0.05\", expect_size=\"36380672\"] \n  16 -> 23 [size =\"36380672\"]\n  16 -> 24 [size =\"36380672\"]\n  16 -> 28 [size =\"36380672\"]\n  16 -> 30 [size =\"36380672\"]\n  16 -> 31 [size =\"36380672\"]\n  16 -> 33 [size =\"36380672\"]\n  17 [size=\"19732480\", alpha=\"0.11\", expect_size=\"7892992\"] \n  17 -> 24 [size =\"7892992\"]\n  17 -> 27 [size =\"7892992\"]\n  17 -> 28 [size =\"7892992\"]\n  17 -> 29 [size =\"7892992\"]\n  17 -> 31 [size =\"7892992\"]\n  17 -> 32 [size =\"7892992\"]\n  18 [size=\"126673920\", alpha=\"0.07\", expect_size=\"50669568\"] \n  18 -> 28 [size =\"50669568\"]\n  18 -> 29 [size =\"50669568\"]\n  18 -> 33 [size =\"50669568\"]\n  19 [size=\"91742720\", alpha=\"0.16\", expect_size=\"36697088\"] \n  19 -> 24 [size =\"36697088\"]\n  19 -> 28 [size =\"36697088\"]\n  19 -> 30 [size =\"36697088\"]\n  19 -> 31 [size =\"36697088\"]\n  19 -> 33 [size =\"36697088\"]\n  20 [size=\"68259840\", alpha=\"0.08\", expect_size=\"27303936\"] \n  20 -> 24 [size =\"27303936\"]\n  20 -> 27 [size =\"27303936\"]\n  20 -> 29 [size =\"27303936\"]\n  20 -> 33 [size =\"27303936\"]\n  21 [size=\"51422720\", alpha=\"0.01\", expect_size=\"20569088\"] \n  21 -> 23 [size =\"20569088\"]\n  21 -> 24 [size =\"20569088\"]\n  21 -> 26 [size =\"20569088\"]\n  21 -> 29 [size =\"20569088\"]\n  21 -> 30 [size =\"20569088\"]\n  21 -> 31 [size =\"20569088\"]\n  21 -> 33 [size =\"20569088\"]\n  22 [size=\"83110400\", alpha=\"0.01\", expect_size=\"33244160\"] \n  22 -> 24 [size =\"33244160\"]\n  22 -> 30 [size =\"33244160\"]\n  22 -> 33 [size =\"33244160\"]\n  23 [size=\"47751680\", alpha=\"0.19\", expect_size=\"19100672\"] \n  23 -> 41 [size =\"19100672\"]\n  24 [size=\"24619520\", alpha=\"0.02\", expect_size=\"9847808\"] \n  24 -> 34 [size =\"9847808\"]\n  24 -> 36 [size =\"9847808\"]\n  24 -> 37 [size =\"9847808\"]\n  24 -> 38 [size =\"9847808\"]\n  25 [size=\"55636480\", alpha=\"0.09\", expect_size=\"22254592\"] \n  25 -> 36 [size =\"22254592\"]\n  25 -> 38 [size =\"22254592\"]\n  25 -> 39 [size =\"22254592\"]\n  25 -> 42 [size =\"22254592\"]\n  26 [size=\"82380800\", alpha=\"0.09\", expect_size=\"32952320\"] \n  26 -> 35 [size =\"32952320\"]\n  26 -> 38 [size =\"32952320\"]\n  26 -> 39 [size =\"32952320\"]\n  26 -> 42 [size =\"32952320\"]\n  27 [size=\"114393600\", alpha=\"0.06\", expect_size=\"45757440\"] \n  27 -> 35 [size =\"45757440\"]\n  27 -> 37 [size =\"45757440\"]\n  27 -> 39 [size =\"45757440\"]\n  27 -> 40 [size =\"45757440\"]\n  28 [size=\"62932480\", alpha=\"0.01\", expect_size=\"25172992\"] \n  28 -> 35 [size =\"25172992\"]\n  28 -> 36 [size =\"25172992\"]\n  28 -> 37 [size =\"25172992\"]\n  28 -> 39 [size =\"25172992\"]\n  29 [size=\"101632000\", alpha=\"0.10\", expect_size=\"40652800\"] \n  29 -> 34 [size =\"40652800\"]\n  29 -> 35 [size =\"40652800\"]\n  29 -> 42 [size =\"40652800\"]\n  30 [size=\"77765120\", alpha=\"0.17\", expect_size=\"31106048\"] \n  30 -> 34 [size =\"31106048\"]\n  30 -> 36 [size =\"31106048\"]\n  30 -> 37 [size =\"31106048\"]\n  30 -> 38 [size =\"31106048\"]\n  30 -> 39 [size =\"31106048\"]\n  31 [size=\"127237120\", alpha=\"0.09\", expect_size=\"50894848\"] \n  31 -> 34 [size =\"50894848\"]\n  31 -> 35 [size =\"50894848\"]\n  31 -> 37 [size =\"50894848\"]\n  31 -> 38 [size =\"50894848\"]\n  31 -> 39 [size =\"50894848\"]\n  31 -> 41 [size =\"50894848\"]\n  32 [size=\"14064640\", alpha=\"0.16\", expect_size=\"5625856\"] \n  32 -> 34 [size =\"5625856\"]\n  32 -> 37 [size =\"5625856\"]\n  32 -> 38 [size =\"5625856\"]\n  32 -> 41 [size =\"5625856\"]\n  32 -> 43 [size =\"5625856\"]\n  33 [size=\"19343360\", alpha=\"0.05\", expect_size=\"7737344\"] \n  33 -> 37 [size =\"7737344\"]\n  33 -> 40 [size =\"7737344\"]\n  33 -> 41 [size =\"7737344\"]\n  34 [size=\"128885760\", alpha=\"0.09\", expect_size=\"51554304\"] \n  34 -> 44 [size =\"51554304\"]\n  35 [size=\"22543360\", alpha=\"0.09\", expect_size=\"9017344\"] \n  35 -> 44 [size =\"9017344\"]\n  36 [size=\"75102720\", alpha=\"0.02\", expect_size=\"30041088\"] \n  37 [size=\"125596160\", alpha=\"0.17\", expect_size=\"50238464\"] \n  38 [size=\"42908160\", alpha=\"0.11\", expect_size=\"17163264\"] \n  39 [size=\"49157120\", alpha=\"0.18\", expect_size=\"19662848\"] \n  40 [size=\"105223680\", alpha=\"0.14\", expect_size=\"42089472\"] \n  41 [size=\"89986560\", alpha=\"0.17\", expect_size=\"35994624\"] \n  41 -> 44 [size =\"35994624\"]\n  42 [size=\"26309120\", alpha=\"0.12\", expect_size=\"10523648\"] \n  42 -> 44 [size =\"10523648\"]\n  43 [size=\"119884800\", alpha=\"0.13\", expect_size=\"47953920\"] \n  43 -> 45 [size =\"47953920\"]\n  44 [size=\"34045440\", alpha=\"0.15\", expect_size=\"13618176\"] \n  45 [size=\"86556160\", alpha=\"0.05\", expect_size=\"34622464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46489600\", alpha=\"0.16\", expect_size=\"18595840\"] \n  1 -> 4 [size =\"18595840\"]\n  1 -> 5 [size =\"18595840\"]\n  2 [size=\"87889920\", alpha=\"0.07\", expect_size=\"35155968\"] \n  2 -> 3 [size =\"35155968\"]\n  2 -> 4 [size =\"35155968\"]\n  2 -> 5 [size =\"35155968\"]\n  3 [size=\"108193280\", alpha=\"0.08\", expect_size=\"43277312\"] \n  4 [size=\"107512320\", alpha=\"0.14\", expect_size=\"43004928\"] \n  4 -> 7 [size =\"43004928\"]\n  5 [size=\"64079360\", alpha=\"0.18\", expect_size=\"25631744\"] \n  5 -> 6 [size =\"25631744\"]\n  5 -> 7 [size =\"25631744\"]\n  6 [size=\"74670080\", alpha=\"0.11\", expect_size=\"29868032\"] \n  6 -> 8 [size =\"29868032\"]\n  7 [size=\"32376320\", alpha=\"0.13\", expect_size=\"12950528\"] \n  7 -> 8 [size =\"12950528\"]\n  7 -> 9 [size =\"12950528\"]\n  8 [size=\"23344640\", alpha=\"0.01\", expect_size=\"9337856\"] \n  8 -> 10 [size =\"9337856\"]\n  9 [size=\"100510720\", alpha=\"0.09\", expect_size=\"40204288\"] \n  9 -> 10 [size =\"40204288\"]\n  10 [size=\"101657600\", alpha=\"0.16\", expect_size=\"40663040\"] \n  10 -> 11 [size =\"40663040\"]\n  10 -> 12 [size =\"40663040\"]\n  11 [size=\"119639040\", alpha=\"0.20\", expect_size=\"47855616\"] \n  11 -> 13 [size =\"47855616\"]\n  11 -> 14 [size =\"47855616\"]\n  11 -> 15 [size =\"47855616\"]\n  12 [size=\"97070080\", alpha=\"0.15\", expect_size=\"38828032\"] \n  12 -> 13 [size =\"38828032\"]\n  13 [size=\"23219200\", alpha=\"0.18\", expect_size=\"9287680\"] \n  13 -> 16 [size =\"9287680\"]\n  13 -> 17 [size =\"9287680\"]\n  14 [size=\"70428160\", alpha=\"0.13\", expect_size=\"28171264\"] \n  14 -> 17 [size =\"28171264\"]\n  14 -> 18 [size =\"28171264\"]\n  15 [size=\"37035520\", alpha=\"0.12\", expect_size=\"14814208\"] \n  15 -> 16 [size =\"14814208\"]\n  16 [size=\"27251200\", alpha=\"0.00\", expect_size=\"10900480\"] \n  16 -> 20 [size =\"10900480\"]\n  17 [size=\"92687360\", alpha=\"0.09\", expect_size=\"37074944\"] \n  17 -> 19 [size =\"37074944\"]\n  17 -> 20 [size =\"37074944\"]\n  17 -> 22 [size =\"37074944\"]\n  18 [size=\"52674560\", alpha=\"0.01\", expect_size=\"21069824\"] \n  18 -> 19 [size =\"21069824\"]\n  18 -> 21 [size =\"21069824\"]\n  19 [size=\"61296640\", alpha=\"0.09\", expect_size=\"24518656\"] \n  20 [size=\"115376640\", alpha=\"0.01\", expect_size=\"46150656\"] \n  20 -> 23 [size =\"46150656\"]\n  21 [size=\"93793280\", alpha=\"0.19\", expect_size=\"37517312\"] \n  21 -> 23 [size =\"37517312\"]\n  22 [size=\"91415040\", alpha=\"0.09\", expect_size=\"36566016\"] \n  22 -> 23 [size =\"36566016\"]\n  23 [size=\"61050880\", alpha=\"0.15\", expect_size=\"24420352\"] \n  23 -> 24 [size =\"24420352\"]\n  23 -> 25 [size =\"24420352\"]\n  23 -> 26 [size =\"24420352\"]\n  23 -> 27 [size =\"24420352\"]\n  24 [size=\"50516480\", alpha=\"0.18\", expect_size=\"20206592\"] \n  24 -> 28 [size =\"20206592\"]\n  25 [size=\"124459520\", alpha=\"0.09\", expect_size=\"49783808\"] \n  25 -> 29 [size =\"49783808\"]\n  26 [size=\"77532160\", alpha=\"0.11\", expect_size=\"31012864\"] \n  27 [size=\"79961600\", alpha=\"0.15\", expect_size=\"31984640\"] \n  27 -> 28 [size =\"31984640\"]\n  28 [size=\"13304320\", alpha=\"0.02\", expect_size=\"5321728\"] \n  28 -> 30 [size =\"5321728\"]\n  29 [size=\"19796480\", alpha=\"0.03\", expect_size=\"7918592\"] \n  29 -> 30 [size =\"7918592\"]\n  29 -> 31 [size =\"7918592\"]\n  30 [size=\"72499200\", alpha=\"0.20\", expect_size=\"28999680\"] \n  30 -> 33 [size =\"28999680\"]\n  30 -> 34 [size =\"28999680\"]\n  31 [size=\"78016000\", alpha=\"0.14\", expect_size=\"31206400\"] \n  31 -> 32 [size =\"31206400\"]\n  32 [size=\"69729280\", alpha=\"0.03\", expect_size=\"27891712\"] \n  32 -> 35 [size =\"27891712\"]\n  33 [size=\"122426880\", alpha=\"0.13\", expect_size=\"48970752\"] \n  33 -> 36 [size =\"48970752\"]\n  34 [size=\"95265280\", alpha=\"0.13\", expect_size=\"38106112\"] \n  34 -> 37 [size =\"38106112\"]\n  35 [size=\"82652160\", alpha=\"0.17\", expect_size=\"33060864\"] \n  35 -> 39 [size =\"33060864\"]\n  36 [size=\"17592320\", alpha=\"0.04\", expect_size=\"7036928\"] \n  36 -> 38 [size =\"7036928\"]\n  36 -> 39 [size =\"7036928\"]\n  37 [size=\"79616000\", alpha=\"0.04\", expect_size=\"31846400\"] \n  38 [size=\"52067840\", alpha=\"0.11\", expect_size=\"20827136\"] \n  38 -> 40 [size =\"20827136\"]\n  39 [size=\"63144960\", alpha=\"0.06\", expect_size=\"25257984\"] \n  39 -> 40 [size =\"25257984\"]\n  40 [size=\"82293760\", alpha=\"0.18\", expect_size=\"32917504\"] \n  40 -> 41 [size =\"32917504\"]\n  40 -> 42 [size =\"32917504\"]\n  41 [size=\"80097280\", alpha=\"0.04\", expect_size=\"32038912\"] \n  41 -> 43 [size =\"32038912\"]\n  41 -> 44 [size =\"32038912\"]\n  42 [size=\"45122560\", alpha=\"0.03\", expect_size=\"18049024\"] \n  42 -> 43 [size =\"18049024\"]\n  42 -> 44 [size =\"18049024\"]\n  43 [size=\"61335040\", alpha=\"0.11\", expect_size=\"24534016\"] \n  43 -> 45 [size =\"24534016\"]\n  44 [size=\"20884480\", alpha=\"0.04\", expect_size=\"8353792\"] \n  44 -> 45 [size =\"8353792\"]\n  45 [size=\"99056640\", alpha=\"0.17\", expect_size=\"39622656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69829120\", alpha=\"0.05\", expect_size=\"27931648\"] \n  1 -> 5 [size =\"27931648\"]\n  2 [size=\"97935360\", alpha=\"0.15\", expect_size=\"39174144\"] \n  2 -> 4 [size =\"39174144\"]\n  2 -> 5 [size =\"39174144\"]\n  3 [size=\"52894720\", alpha=\"0.01\", expect_size=\"21157888\"] \n  4 [size=\"23697920\", alpha=\"0.09\", expect_size=\"9479168\"] \n  4 -> 6 [size =\"9479168\"]\n  5 [size=\"86594560\", alpha=\"0.16\", expect_size=\"34637824\"] \n  5 -> 7 [size =\"34637824\"]\n  6 [size=\"126702080\", alpha=\"0.04\", expect_size=\"50680832\"] \n  6 -> 8 [size =\"50680832\"]\n  6 -> 9 [size =\"50680832\"]\n  7 [size=\"51128320\", alpha=\"0.16\", expect_size=\"20451328\"] \n  8 [size=\"83589120\", alpha=\"0.07\", expect_size=\"33435648\"] \n  8 -> 11 [size =\"33435648\"]\n  9 [size=\"49950720\", alpha=\"0.02\", expect_size=\"19980288\"] \n  9 -> 10 [size =\"19980288\"]\n  10 [size=\"85926400\", alpha=\"0.17\", expect_size=\"34370560\"] \n  10 -> 13 [size =\"34370560\"]\n  11 [size=\"55966720\", alpha=\"0.06\", expect_size=\"22386688\"] \n  11 -> 12 [size =\"22386688\"]\n  12 [size=\"88202240\", alpha=\"0.14\", expect_size=\"35280896\"] \n  13 [size=\"55795200\", alpha=\"0.09\", expect_size=\"22318080\"] \n  13 -> 14 [size =\"22318080\"]\n  13 -> 15 [size =\"22318080\"]\n  14 [size=\"63375360\", alpha=\"0.08\", expect_size=\"25350144\"] \n  14 -> 16 [size =\"25350144\"]\n  14 -> 17 [size =\"25350144\"]\n  15 [size=\"117135360\", alpha=\"0.16\", expect_size=\"46854144\"] \n  16 [size=\"96296960\", alpha=\"0.13\", expect_size=\"38518784\"] \n  17 [size=\"121308160\", alpha=\"0.16\", expect_size=\"48523264\"] \n  17 -> 18 [size =\"48523264\"]\n  17 -> 19 [size =\"48523264\"]\n  17 -> 20 [size =\"48523264\"]\n  18 [size=\"100559360\", alpha=\"0.17\", expect_size=\"40223744\"] \n  19 [size=\"25067520\", alpha=\"0.13\", expect_size=\"10027008\"] \n  19 -> 21 [size =\"10027008\"]\n  19 -> 22 [size =\"10027008\"]\n  20 [size=\"39569920\", alpha=\"0.17\", expect_size=\"15827968\"] \n  20 -> 21 [size =\"15827968\"]\n  20 -> 22 [size =\"15827968\"]\n  21 [size=\"24184320\", alpha=\"0.10\", expect_size=\"9673728\"] \n  21 -> 23 [size =\"9673728\"]\n  22 [size=\"60664320\", alpha=\"0.18\", expect_size=\"24265728\"] \n  22 -> 24 [size =\"24265728\"]\n  22 -> 25 [size =\"24265728\"]\n  23 [size=\"25254400\", alpha=\"0.13\", expect_size=\"10101760\"] \n  24 [size=\"77460480\", alpha=\"0.09\", expect_size=\"30984192\"] \n  24 -> 26 [size =\"30984192\"]\n  25 [size=\"123550720\", alpha=\"0.18\", expect_size=\"49420288\"] \n  25 -> 27 [size =\"49420288\"]\n  25 -> 28 [size =\"49420288\"]\n  26 [size=\"99983360\", alpha=\"0.06\", expect_size=\"39993344\"] \n  26 -> 30 [size =\"39993344\"]\n  27 [size=\"61207040\", alpha=\"0.01\", expect_size=\"24482816\"] \n  27 -> 31 [size =\"24482816\"]\n  28 [size=\"35002880\", alpha=\"0.07\", expect_size=\"14001152\"] \n  28 -> 29 [size =\"14001152\"]\n  29 [size=\"15078400\", alpha=\"0.20\", expect_size=\"6031360\"] \n  29 -> 32 [size =\"6031360\"]\n  29 -> 33 [size =\"6031360\"]\n  29 -> 34 [size =\"6031360\"]\n  30 [size=\"91338240\", alpha=\"0.05\", expect_size=\"36535296\"] \n  30 -> 32 [size =\"36535296\"]\n  31 [size=\"72401920\", alpha=\"0.17\", expect_size=\"28960768\"] \n  32 [size=\"14991360\", alpha=\"0.03\", expect_size=\"5996544\"] \n  33 [size=\"121899520\", alpha=\"0.15\", expect_size=\"48759808\"] \n  33 -> 35 [size =\"48759808\"]\n  33 -> 37 [size =\"48759808\"]\n  34 [size=\"79016960\", alpha=\"0.16\", expect_size=\"31606784\"] \n  34 -> 36 [size =\"31606784\"]\n  34 -> 37 [size =\"31606784\"]\n  35 [size=\"14906880\", alpha=\"0.14\", expect_size=\"5962752\"] \n  35 -> 38 [size =\"5962752\"]\n  36 [size=\"121018880\", alpha=\"0.07\", expect_size=\"48407552\"] \n  37 [size=\"39093760\", alpha=\"0.18\", expect_size=\"15637504\"] \n  37 -> 39 [size =\"15637504\"]\n  38 [size=\"43082240\", alpha=\"0.04\", expect_size=\"17232896\"] \n  39 [size=\"85501440\", alpha=\"0.11\", expect_size=\"34200576\"] \n  39 -> 40 [size =\"34200576\"]\n  39 -> 41 [size =\"34200576\"]\n  40 [size=\"85235200\", alpha=\"0.04\", expect_size=\"34094080\"] \n  40 -> 42 [size =\"34094080\"]\n  41 [size=\"115100160\", alpha=\"0.18\", expect_size=\"46040064\"] \n  41 -> 43 [size =\"46040064\"]\n  41 -> 44 [size =\"46040064\"]\n  42 [size=\"99991040\", alpha=\"0.00\", expect_size=\"39996416\"] \n  42 -> 45 [size =\"39996416\"]\n  43 [size=\"115008000\", alpha=\"0.04\", expect_size=\"46003200\"] \n  43 -> 45 [size =\"46003200\"]\n  44 [size=\"84874240\", alpha=\"0.20\", expect_size=\"33949696\"] \n  45 [size=\"59855360\", alpha=\"0.14\", expect_size=\"23942144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71098368\", alpha=\"0.12\", expect_size=\"35549184\"] \n  1 -> 3 [size =\"35549184\"]\n  1 -> 4 [size =\"35549184\"]\n  2 [size=\"94787584\", alpha=\"0.13\", expect_size=\"47393792\"] \n  2 -> 4 [size =\"47393792\"]\n  3 [size=\"76355584\", alpha=\"0.13\", expect_size=\"38177792\"] \n  3 -> 6 [size =\"38177792\"]\n  3 -> 7 [size =\"38177792\"]\n  4 [size=\"54931456\", alpha=\"0.02\", expect_size=\"27465728\"] \n  4 -> 5 [size =\"27465728\"]\n  4 -> 6 [size =\"27465728\"]\n  4 -> 7 [size =\"27465728\"]\n  5 [size=\"77101056\", alpha=\"0.07\", expect_size=\"38550528\"] \n  6 [size=\"74792960\", alpha=\"0.14\", expect_size=\"37396480\"] \n  7 [size=\"59056128\", alpha=\"0.01\", expect_size=\"29528064\"] \n  7 -> 8 [size =\"29528064\"]\n  7 -> 9 [size =\"29528064\"]\n  8 [size=\"33226752\", alpha=\"0.10\", expect_size=\"16613376\"] \n  8 -> 11 [size =\"16613376\"]\n  9 [size=\"20336640\", alpha=\"0.07\", expect_size=\"10168320\"] \n  9 -> 10 [size =\"10168320\"]\n  10 [size=\"43943936\", alpha=\"0.02\", expect_size=\"21971968\"] \n  10 -> 13 [size =\"21971968\"]\n  11 [size=\"23158784\", alpha=\"0.09\", expect_size=\"11579392\"] \n  11 -> 12 [size =\"11579392\"]\n  11 -> 14 [size =\"11579392\"]\n  12 [size=\"78798848\", alpha=\"0.01\", expect_size=\"39399424\"] \n  12 -> 16 [size =\"39399424\"]\n  13 [size=\"44701696\", alpha=\"0.07\", expect_size=\"22350848\"] \n  13 -> 15 [size =\"22350848\"]\n  13 -> 16 [size =\"22350848\"]\n  14 [size=\"13467648\", alpha=\"0.13\", expect_size=\"6733824\"] \n  14 -> 15 [size =\"6733824\"]\n  15 [size=\"21366784\", alpha=\"0.04\", expect_size=\"10683392\"] \n  15 -> 18 [size =\"10683392\"]\n  16 [size=\"56530944\", alpha=\"0.04\", expect_size=\"28265472\"] \n  16 -> 17 [size =\"28265472\"]\n  17 [size=\"28598272\", alpha=\"0.07\", expect_size=\"14299136\"] \n  17 -> 19 [size =\"14299136\"]\n  18 [size=\"31608832\", alpha=\"0.08\", expect_size=\"15804416\"] \n  18 -> 20 [size =\"15804416\"]\n  18 -> 21 [size =\"15804416\"]\n  19 [size=\"78839808\", alpha=\"0.20\", expect_size=\"39419904\"] \n  19 -> 22 [size =\"39419904\"]\n  19 -> 24 [size =\"39419904\"]\n  20 [size=\"19394560\", alpha=\"0.06\", expect_size=\"9697280\"] \n  21 [size=\"30337024\", alpha=\"0.05\", expect_size=\"15168512\"] \n  21 -> 23 [size =\"15168512\"]\n  21 -> 24 [size =\"15168512\"]\n  22 [size=\"70633472\", alpha=\"0.02\", expect_size=\"35316736\"] \n  22 -> 25 [size =\"35316736\"]\n  23 [size=\"76300288\", alpha=\"0.13\", expect_size=\"38150144\"] \n  23 -> 26 [size =\"38150144\"]\n  24 [size=\"16519168\", alpha=\"0.14\", expect_size=\"8259584\"] \n  24 -> 25 [size =\"8259584\"]\n  25 [size=\"78309376\", alpha=\"0.09\", expect_size=\"39154688\"] \n  25 -> 27 [size =\"39154688\"]\n  25 -> 29 [size =\"39154688\"]\n  26 [size=\"96827392\", alpha=\"0.17\", expect_size=\"48413696\"] \n  26 -> 27 [size =\"48413696\"]\n  26 -> 28 [size =\"48413696\"]\n  26 -> 29 [size =\"48413696\"]\n  27 [size=\"23402496\", alpha=\"0.15\", expect_size=\"11701248\"] \n  27 -> 30 [size =\"11701248\"]\n  27 -> 31 [size =\"11701248\"]\n  27 -> 32 [size =\"11701248\"]\n  28 [size=\"54919168\", alpha=\"0.19\", expect_size=\"27459584\"] \n  28 -> 31 [size =\"27459584\"]\n  29 [size=\"92319744\", alpha=\"0.04\", expect_size=\"46159872\"] \n  29 -> 32 [size =\"46159872\"]\n  30 [size=\"90728448\", alpha=\"0.17\", expect_size=\"45364224\"] \n  30 -> 33 [size =\"45364224\"]\n  31 [size=\"24899584\", alpha=\"0.12\", expect_size=\"12449792\"] \n  31 -> 33 [size =\"12449792\"]\n  31 -> 35 [size =\"12449792\"]\n  32 [size=\"49817600\", alpha=\"0.01\", expect_size=\"24908800\"] \n  32 -> 34 [size =\"24908800\"]\n  33 [size=\"61044736\", alpha=\"0.18\", expect_size=\"30522368\"] \n  33 -> 36 [size =\"30522368\"]\n  34 [size=\"30078976\", alpha=\"0.16\", expect_size=\"15039488\"] \n  35 [size=\"95737856\", alpha=\"0.16\", expect_size=\"47868928\"] \n  35 -> 36 [size =\"47868928\"]\n  35 -> 37 [size =\"47868928\"]\n  36 [size=\"41523200\", alpha=\"0.05\", expect_size=\"20761600\"] \n  36 -> 39 [size =\"20761600\"]\n  37 [size=\"26112000\", alpha=\"0.19\", expect_size=\"13056000\"] \n  37 -> 38 [size =\"13056000\"]\n  37 -> 39 [size =\"13056000\"]\n  37 -> 40 [size =\"13056000\"]\n  38 [size=\"98076672\", alpha=\"0.17\", expect_size=\"49038336\"] \n  38 -> 42 [size =\"49038336\"]\n  38 -> 43 [size =\"49038336\"]\n  39 [size=\"91416576\", alpha=\"0.09\", expect_size=\"45708288\"] \n  39 -> 41 [size =\"45708288\"]\n  39 -> 43 [size =\"45708288\"]\n  40 [size=\"15984640\", alpha=\"0.04\", expect_size=\"7992320\"] \n  41 [size=\"93980672\", alpha=\"0.02\", expect_size=\"46990336\"] \n  42 [size=\"54966272\", alpha=\"0.13\", expect_size=\"27483136\"] \n  42 -> 44 [size =\"27483136\"]\n  43 [size=\"61624320\", alpha=\"0.19\", expect_size=\"30812160\"] \n  43 -> 45 [size =\"30812160\"]\n  44 [size=\"53800960\", alpha=\"0.05\", expect_size=\"26900480\"] \n  45 [size=\"34480128\", alpha=\"0.06\", expect_size=\"17240064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76124160\", alpha=\"0.06\", expect_size=\"38062080\"] \n  1 -> 16 [size =\"38062080\"]\n  1 -> 18 [size =\"38062080\"]\n  1 -> 19 [size =\"38062080\"]\n  1 -> 22 [size =\"38062080\"]\n  1 -> 25 [size =\"38062080\"]\n  2 [size=\"96679936\", alpha=\"0.02\", expect_size=\"48339968\"] \n  2 -> 14 [size =\"48339968\"]\n  2 -> 15 [size =\"48339968\"]\n  2 -> 22 [size =\"48339968\"]\n  2 -> 24 [size =\"48339968\"]\n  3 [size=\"103170048\", alpha=\"0.06\", expect_size=\"51585024\"] \n  3 -> 14 [size =\"51585024\"]\n  3 -> 15 [size =\"51585024\"]\n  3 -> 22 [size =\"51585024\"]\n  3 -> 24 [size =\"51585024\"]\n  4 [size=\"101734400\", alpha=\"0.13\", expect_size=\"50867200\"] \n  4 -> 14 [size =\"50867200\"]\n  4 -> 15 [size =\"50867200\"]\n  4 -> 18 [size =\"50867200\"]\n  4 -> 19 [size =\"50867200\"]\n  4 -> 22 [size =\"50867200\"]\n  4 -> 24 [size =\"50867200\"]\n  5 [size=\"20092928\", alpha=\"0.10\", expect_size=\"10046464\"] \n  5 -> 15 [size =\"10046464\"]\n  5 -> 15 [size =\"10046464\"]\n  5 -> 18 [size =\"10046464\"]\n  5 -> 19 [size =\"10046464\"]\n  5 -> 20 [size =\"10046464\"]\n  5 -> 22 [size =\"10046464\"]\n  5 -> 23 [size =\"10046464\"]\n  5 -> 24 [size =\"10046464\"]\n  6 [size=\"22409216\", alpha=\"0.20\", expect_size=\"11204608\"] \n  6 -> 14 [size =\"11204608\"]\n  6 -> 15 [size =\"11204608\"]\n  6 -> 18 [size =\"11204608\"]\n  6 -> 20 [size =\"11204608\"]\n  6 -> 22 [size =\"11204608\"]\n  6 -> 24 [size =\"11204608\"]\n  7 [size=\"13225984\", alpha=\"0.03\", expect_size=\"6612992\"] \n  7 -> 17 [size =\"6612992\"]\n  7 -> 24 [size =\"6612992\"]\n  8 [size=\"34455552\", alpha=\"0.17\", expect_size=\"17227776\"] \n  8 -> 19 [size =\"17227776\"]\n  8 -> 24 [size =\"17227776\"]\n  9 [size=\"53940224\", alpha=\"0.09\", expect_size=\"26970112\"] \n  9 -> 15 [size =\"26970112\"]\n  9 -> 19 [size =\"26970112\"]\n  9 -> 21 [size =\"26970112\"]\n  10 [size=\"98109440\", alpha=\"0.10\", expect_size=\"49054720\"] \n  10 -> 18 [size =\"49054720\"]\n  10 -> 19 [size =\"49054720\"]\n  10 -> 25 [size =\"49054720\"]\n  11 [size=\"15263744\", alpha=\"0.16\", expect_size=\"7631872\"] \n  11 -> 15 [size =\"7631872\"]\n  11 -> 17 [size =\"7631872\"]\n  11 -> 19 [size =\"7631872\"]\n  11 -> 24 [size =\"7631872\"]\n  12 [size=\"44103680\", alpha=\"0.12\", expect_size=\"22051840\"] \n  12 -> 14 [size =\"22051840\"]\n  12 -> 15 [size =\"22051840\"]\n  12 -> 16 [size =\"22051840\"]\n  12 -> 18 [size =\"22051840\"]\n  12 -> 20 [size =\"22051840\"]\n  12 -> 22 [size =\"22051840\"]\n  13 [size=\"55101440\", alpha=\"0.16\", expect_size=\"27550720\"] \n  13 -> 15 [size =\"27550720\"]\n  13 -> 16 [size =\"27550720\"]\n  13 -> 19 [size =\"27550720\"]\n  13 -> 22 [size =\"27550720\"]\n  13 -> 25 [size =\"27550720\"]\n  14 [size=\"85614592\", alpha=\"0.10\", expect_size=\"42807296\"] \n  14 -> 30 [size =\"42807296\"]\n  14 -> 32 [size =\"42807296\"]\n  14 -> 34 [size =\"42807296\"]\n  14 -> 34 [size =\"42807296\"]\n  14 -> 35 [size =\"42807296\"]\n  15 [size=\"52336640\", alpha=\"0.16\", expect_size=\"26168320\"] \n  15 -> 31 [size =\"26168320\"]\n  15 -> 32 [size =\"26168320\"]\n  15 -> 33 [size =\"26168320\"]\n  15 -> 34 [size =\"26168320\"]\n  16 [size=\"101742592\", alpha=\"0.11\", expect_size=\"50871296\"] \n  16 -> 27 [size =\"50871296\"]\n  16 -> 32 [size =\"50871296\"]\n  16 -> 33 [size =\"50871296\"]\n  16 -> 35 [size =\"50871296\"]\n  16 -> 37 [size =\"50871296\"]\n  17 [size=\"101326848\", alpha=\"0.18\", expect_size=\"50663424\"] \n  17 -> 28 [size =\"50663424\"]\n  17 -> 29 [size =\"50663424\"]\n  17 -> 32 [size =\"50663424\"]\n  17 -> 34 [size =\"50663424\"]\n  17 -> 35 [size =\"50663424\"]\n  17 -> 37 [size =\"50663424\"]\n  18 [size=\"21090304\", alpha=\"0.20\", expect_size=\"10545152\"] \n  18 -> 27 [size =\"10545152\"]\n  18 -> 30 [size =\"10545152\"]\n  18 -> 32 [size =\"10545152\"]\n  18 -> 33 [size =\"10545152\"]\n  18 -> 35 [size =\"10545152\"]\n  18 -> 37 [size =\"10545152\"]\n  19 [size=\"101584896\", alpha=\"0.14\", expect_size=\"50792448\"] \n  19 -> 26 [size =\"50792448\"]\n  19 -> 32 [size =\"50792448\"]\n  19 -> 32 [size =\"50792448\"]\n  19 -> 33 [size =\"50792448\"]\n  19 -> 34 [size =\"50792448\"]\n  19 -> 35 [size =\"50792448\"]\n  19 -> 36 [size =\"50792448\"]\n  19 -> 37 [size =\"50792448\"]\n  20 [size=\"47501312\", alpha=\"0.10\", expect_size=\"23750656\"] \n  20 -> 30 [size =\"23750656\"]\n  20 -> 31 [size =\"23750656\"]\n  20 -> 33 [size =\"23750656\"]\n  20 -> 34 [size =\"23750656\"]\n  20 -> 36 [size =\"23750656\"]\n  20 -> 37 [size =\"23750656\"]\n  21 [size=\"95176704\", alpha=\"0.20\", expect_size=\"47588352\"] \n  21 -> 30 [size =\"47588352\"]\n  21 -> 31 [size =\"47588352\"]\n  21 -> 33 [size =\"47588352\"]\n  21 -> 34 [size =\"47588352\"]\n  21 -> 35 [size =\"47588352\"]\n  21 -> 37 [size =\"47588352\"]\n  22 [size=\"74123264\", alpha=\"0.08\", expect_size=\"37061632\"] \n  22 -> 30 [size =\"37061632\"]\n  22 -> 34 [size =\"37061632\"]\n  22 -> 35 [size =\"37061632\"]\n  22 -> 37 [size =\"37061632\"]\n  23 [size=\"37341184\", alpha=\"0.16\", expect_size=\"18670592\"] \n  23 -> 28 [size =\"18670592\"]\n  23 -> 30 [size =\"18670592\"]\n  23 -> 32 [size =\"18670592\"]\n  23 -> 34 [size =\"18670592\"]\n  23 -> 35 [size =\"18670592\"]\n  23 -> 36 [size =\"18670592\"]\n  23 -> 37 [size =\"18670592\"]\n  24 [size=\"17768448\", alpha=\"0.04\", expect_size=\"8884224\"] \n  24 -> 31 [size =\"8884224\"]\n  24 -> 34 [size =\"8884224\"]\n  24 -> 35 [size =\"8884224\"]\n  24 -> 36 [size =\"8884224\"]\n  24 -> 37 [size =\"8884224\"]\n  25 [size=\"66838528\", alpha=\"0.13\", expect_size=\"33419264\"] \n  25 -> 26 [size =\"33419264\"]\n  25 -> 27 [size =\"33419264\"]\n  25 -> 30 [size =\"33419264\"]\n  25 -> 34 [size =\"33419264\"]\n  25 -> 35 [size =\"33419264\"]\n  26 [size=\"49940480\", alpha=\"0.05\", expect_size=\"24970240\"] \n  26 -> 40 [size =\"24970240\"]\n  26 -> 41 [size =\"24970240\"]\n  26 -> 42 [size =\"24970240\"]\n  26 -> 43 [size =\"24970240\"]\n  27 [size=\"101492736\", alpha=\"0.17\", expect_size=\"50746368\"] \n  27 -> 38 [size =\"50746368\"]\n  27 -> 39 [size =\"50746368\"]\n  27 -> 40 [size =\"50746368\"]\n  27 -> 42 [size =\"50746368\"]\n  27 -> 43 [size =\"50746368\"]\n  28 [size=\"93591552\", alpha=\"0.15\", expect_size=\"46795776\"] \n  28 -> 38 [size =\"46795776\"]\n  28 -> 40 [size =\"46795776\"]\n  28 -> 42 [size =\"46795776\"]\n  28 -> 43 [size =\"46795776\"]\n  29 [size=\"92794880\", alpha=\"0.01\", expect_size=\"46397440\"] \n  29 -> 39 [size =\"46397440\"]\n  29 -> 40 [size =\"46397440\"]\n  29 -> 41 [size =\"46397440\"]\n  29 -> 42 [size =\"46397440\"]\n  29 -> 43 [size =\"46397440\"]\n  30 [size=\"63244288\", alpha=\"0.07\", expect_size=\"31622144\"] \n  30 -> 38 [size =\"31622144\"]\n  30 -> 39 [size =\"31622144\"]\n  31 [size=\"15480832\", alpha=\"0.13\", expect_size=\"7740416\"] \n  31 -> 40 [size =\"7740416\"]\n  31 -> 41 [size =\"7740416\"]\n  32 [size=\"15144960\", alpha=\"0.06\", expect_size=\"7572480\"] \n  32 -> 40 [size =\"7572480\"]\n  32 -> 41 [size =\"7572480\"]\n  32 -> 42 [size =\"7572480\"]\n  33 [size=\"54056960\", alpha=\"0.09\", expect_size=\"27028480\"] \n  33 -> 39 [size =\"27028480\"]\n  33 -> 41 [size =\"27028480\"]\n  33 -> 44 [size =\"27028480\"]\n  34 [size=\"36161536\", alpha=\"0.08\", expect_size=\"18080768\"] \n  34 -> 39 [size =\"18080768\"]\n  34 -> 42 [size =\"18080768\"]\n  35 [size=\"52707328\", alpha=\"0.16\", expect_size=\"26353664\"] \n  35 -> 39 [size =\"26353664\"]\n  35 -> 40 [size =\"26353664\"]\n  35 -> 41 [size =\"26353664\"]\n  35 -> 42 [size =\"26353664\"]\n  36 [size=\"18929664\", alpha=\"0.03\", expect_size=\"9464832\"] \n  36 -> 38 [size =\"9464832\"]\n  36 -> 39 [size =\"9464832\"]\n  36 -> 40 [size =\"9464832\"]\n  36 -> 41 [size =\"9464832\"]\n  36 -> 42 [size =\"9464832\"]\n  36 -> 43 [size =\"9464832\"]\n  37 [size=\"41125888\", alpha=\"0.09\", expect_size=\"20562944\"] \n  37 -> 39 [size =\"20562944\"]\n  37 -> 40 [size =\"20562944\"]\n  37 -> 40 [size =\"20562944\"]\n  37 -> 41 [size =\"20562944\"]\n  37 -> 42 [size =\"20562944\"]\n  37 -> 43 [size =\"20562944\"]\n  37 -> 45 [size =\"20562944\"]\n  38 [size=\"27666432\", alpha=\"0.18\", expect_size=\"13833216\"] \n  39 [size=\"96890880\", alpha=\"0.06\", expect_size=\"48445440\"] \n  40 [size=\"103512064\", alpha=\"0.01\", expect_size=\"51756032\"] \n  41 [size=\"40785920\", alpha=\"0.15\", expect_size=\"20392960\"] \n  42 [size=\"102230016\", alpha=\"0.02\", expect_size=\"51115008\"] \n  43 [size=\"38346752\", alpha=\"0.15\", expect_size=\"19173376\"] \n  44 [size=\"82499584\", alpha=\"0.09\", expect_size=\"41249792\"] \n  45 [size=\"26701824\", alpha=\"0.15\", expect_size=\"13350912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81223680\", alpha=\"0.07\", expect_size=\"24367104\"] \n  1 -> 4 [size =\"24367104\"]\n  1 -> 5 [size =\"24367104\"]\n  1 -> 6 [size =\"24367104\"]\n  2 [size=\"32955733\", alpha=\"0.12\", expect_size=\"9886720\"] \n  2 -> 6 [size =\"9886720\"]\n  3 [size=\"112196267\", alpha=\"0.10\", expect_size=\"33658880\"] \n  3 -> 5 [size =\"33658880\"]\n  4 [size=\"133222400\", alpha=\"0.16\", expect_size=\"39966720\"] \n  4 -> 7 [size =\"39966720\"]\n  5 [size=\"119616853\", alpha=\"0.15\", expect_size=\"35885056\"] \n  5 -> 8 [size =\"35885056\"]\n  6 [size=\"148217173\", alpha=\"0.16\", expect_size=\"44465152\"] \n  7 [size=\"102826667\", alpha=\"0.06\", expect_size=\"30848000\"] \n  7 -> 9 [size =\"30848000\"]\n  8 [size=\"172380160\", alpha=\"0.07\", expect_size=\"51714048\"] \n  8 -> 10 [size =\"51714048\"]\n  8 -> 11 [size =\"51714048\"]\n  9 [size=\"94341120\", alpha=\"0.18\", expect_size=\"28302336\"] \n  10 [size=\"127074987\", alpha=\"0.17\", expect_size=\"38122496\"] \n  10 -> 12 [size =\"38122496\"]\n  11 [size=\"21203627\", alpha=\"0.06\", expect_size=\"6361088\"] \n  11 -> 12 [size =\"6361088\"]\n  11 -> 13 [size =\"6361088\"]\n  12 [size=\"78974293\", alpha=\"0.15\", expect_size=\"23692288\"] \n  12 -> 14 [size =\"23692288\"]\n  12 -> 16 [size =\"23692288\"]\n  13 [size=\"17534293\", alpha=\"0.19\", expect_size=\"5260288\"] \n  13 -> 15 [size =\"5260288\"]\n  14 [size=\"94894080\", alpha=\"0.02\", expect_size=\"28468224\"] \n  14 -> 18 [size =\"28468224\"]\n  15 [size=\"66566827\", alpha=\"0.18\", expect_size=\"19970048\"] \n  15 -> 17 [size =\"19970048\"]\n  16 [size=\"28456960\", alpha=\"0.10\", expect_size=\"8537088\"] \n  16 -> 17 [size =\"8537088\"]\n  17 [size=\"157624320\", alpha=\"0.02\", expect_size=\"47287296\"] \n  17 -> 20 [size =\"47287296\"]\n  18 [size=\"51374080\", alpha=\"0.00\", expect_size=\"15412224\"] \n  18 -> 19 [size =\"15412224\"]\n  18 -> 21 [size =\"15412224\"]\n  19 [size=\"102546773\", alpha=\"0.01\", expect_size=\"30764032\"] \n  19 -> 23 [size =\"30764032\"]\n  20 [size=\"86111573\", alpha=\"0.12\", expect_size=\"25833472\"] \n  21 [size=\"64102400\", alpha=\"0.12\", expect_size=\"19230720\"] \n  21 -> 22 [size =\"19230720\"]\n  22 [size=\"112759467\", alpha=\"0.14\", expect_size=\"33827840\"] \n  22 -> 24 [size =\"33827840\"]\n  22 -> 25 [size =\"33827840\"]\n  23 [size=\"72318293\", alpha=\"0.08\", expect_size=\"21695488\"] \n  24 [size=\"65044480\", alpha=\"0.16\", expect_size=\"19513344\"] \n  24 -> 26 [size =\"19513344\"]\n  25 [size=\"80264533\", alpha=\"0.18\", expect_size=\"24079360\"] \n  25 -> 27 [size =\"24079360\"]\n  26 [size=\"68212053\", alpha=\"0.16\", expect_size=\"20463616\"] \n  26 -> 28 [size =\"20463616\"]\n  26 -> 29 [size =\"20463616\"]\n  26 -> 30 [size =\"20463616\"]\n  27 [size=\"148558507\", alpha=\"0.05\", expect_size=\"44567552\"] \n  28 [size=\"168055467\", alpha=\"0.13\", expect_size=\"50416640\"] \n  29 [size=\"171281067\", alpha=\"0.12\", expect_size=\"51384320\"] \n  29 -> 31 [size =\"51384320\"]\n  29 -> 32 [size =\"51384320\"]\n  30 [size=\"20264960\", alpha=\"0.04\", expect_size=\"6079488\"] \n  30 -> 32 [size =\"6079488\"]\n  31 [size=\"118094507\", alpha=\"0.17\", expect_size=\"35428352\"] \n  31 -> 33 [size =\"35428352\"]\n  31 -> 34 [size =\"35428352\"]\n  32 [size=\"56661333\", alpha=\"0.18\", expect_size=\"16998400\"] \n  32 -> 35 [size =\"16998400\"]\n  33 [size=\"166017707\", alpha=\"0.18\", expect_size=\"49805312\"] \n  33 -> 37 [size =\"49805312\"]\n  34 [size=\"69024427\", alpha=\"0.09\", expect_size=\"20707328\"] \n  35 [size=\"38724267\", alpha=\"0.05\", expect_size=\"11617280\"] \n  35 -> 36 [size =\"11617280\"]\n  35 -> 37 [size =\"11617280\"]\n  36 [size=\"19964587\", alpha=\"0.04\", expect_size=\"5989376\"] \n  37 [size=\"143493120\", alpha=\"0.20\", expect_size=\"43047936\"] \n  37 -> 38 [size =\"43047936\"]\n  37 -> 39 [size =\"43047936\"]\n  37 -> 40 [size =\"43047936\"]\n  38 [size=\"22804480\", alpha=\"0.20\", expect_size=\"6841344\"] \n  38 -> 41 [size =\"6841344\"]\n  38 -> 43 [size =\"6841344\"]\n  39 [size=\"127371947\", alpha=\"0.11\", expect_size=\"38211584\"] \n  39 -> 42 [size =\"38211584\"]\n  40 [size=\"62204587\", alpha=\"0.11\", expect_size=\"18661376\"] \n  41 [size=\"94190933\", alpha=\"0.16\", expect_size=\"28257280\"] \n  41 -> 44 [size =\"28257280\"]\n  42 [size=\"69768533\", alpha=\"0.14\", expect_size=\"20930560\"] \n  43 [size=\"50442240\", alpha=\"0.19\", expect_size=\"15132672\"] \n  43 -> 45 [size =\"15132672\"]\n  44 [size=\"36266667\", alpha=\"0.10\", expect_size=\"10880000\"] \n  45 [size=\"104659627\", alpha=\"0.09\", expect_size=\"31397888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123266560\", alpha=\"0.15\", expect_size=\"49306624\"] \n  1 -> 20 [size =\"49306624\"]\n  1 -> 21 [size =\"49306624\"]\n  1 -> 22 [size =\"49306624\"]\n  1 -> 24 [size =\"49306624\"]\n  1 -> 26 [size =\"49306624\"]\n  1 -> 28 [size =\"49306624\"]\n  2 [size=\"83415040\", alpha=\"0.19\", expect_size=\"33366016\"] \n  2 -> 21 [size =\"33366016\"]\n  2 -> 22 [size =\"33366016\"]\n  2 -> 26 [size =\"33366016\"]\n  2 -> 29 [size =\"33366016\"]\n  3 [size=\"15823360\", alpha=\"0.09\", expect_size=\"6329344\"] \n  3 -> 16 [size =\"6329344\"]\n  3 -> 17 [size =\"6329344\"]\n  3 -> 21 [size =\"6329344\"]\n  3 -> 23 [size =\"6329344\"]\n  3 -> 24 [size =\"6329344\"]\n  3 -> 26 [size =\"6329344\"]\n  3 -> 27 [size =\"6329344\"]\n  3 -> 29 [size =\"6329344\"]\n  4 [size=\"93040640\", alpha=\"0.20\", expect_size=\"37216256\"] \n  4 -> 17 [size =\"37216256\"]\n  4 -> 21 [size =\"37216256\"]\n  4 -> 22 [size =\"37216256\"]\n  4 -> 23 [size =\"37216256\"]\n  4 -> 25 [size =\"37216256\"]\n  4 -> 26 [size =\"37216256\"]\n  4 -> 29 [size =\"37216256\"]\n  4 -> 29 [size =\"37216256\"]\n  5 [size=\"111316480\", alpha=\"0.06\", expect_size=\"44526592\"] \n  5 -> 17 [size =\"44526592\"]\n  5 -> 22 [size =\"44526592\"]\n  5 -> 26 [size =\"44526592\"]\n  5 -> 27 [size =\"44526592\"]\n  5 -> 28 [size =\"44526592\"]\n  5 -> 29 [size =\"44526592\"]\n  6 [size=\"46000640\", alpha=\"0.14\", expect_size=\"18400256\"] \n  6 -> 17 [size =\"18400256\"]\n  6 -> 20 [size =\"18400256\"]\n  6 -> 25 [size =\"18400256\"]\n  6 -> 27 [size =\"18400256\"]\n  6 -> 28 [size =\"18400256\"]\n  7 [size=\"53975040\", alpha=\"0.12\", expect_size=\"21590016\"] \n  7 -> 20 [size =\"21590016\"]\n  7 -> 22 [size =\"21590016\"]\n  7 -> 23 [size =\"21590016\"]\n  7 -> 24 [size =\"21590016\"]\n  7 -> 26 [size =\"21590016\"]\n  7 -> 28 [size =\"21590016\"]\n  7 -> 29 [size =\"21590016\"]\n  8 [size=\"93153280\", alpha=\"0.03\", expect_size=\"37261312\"] \n  8 -> 16 [size =\"37261312\"]\n  8 -> 19 [size =\"37261312\"]\n  8 -> 23 [size =\"37261312\"]\n  8 -> 28 [size =\"37261312\"]\n  9 [size=\"53137920\", alpha=\"0.18\", expect_size=\"21255168\"] \n  9 -> 24 [size =\"21255168\"]\n  10 [size=\"41712640\", alpha=\"0.04\", expect_size=\"16685056\"] \n  10 -> 18 [size =\"16685056\"]\n  10 -> 21 [size =\"16685056\"]\n  10 -> 23 [size =\"16685056\"]\n  10 -> 24 [size =\"16685056\"]\n  10 -> 25 [size =\"16685056\"]\n  10 -> 27 [size =\"16685056\"]\n  10 -> 29 [size =\"16685056\"]\n  11 [size=\"89428480\", alpha=\"0.17\", expect_size=\"35771392\"] \n  11 -> 16 [size =\"35771392\"]\n  11 -> 17 [size =\"35771392\"]\n  11 -> 20 [size =\"35771392\"]\n  11 -> 23 [size =\"35771392\"]\n  11 -> 24 [size =\"35771392\"]\n  11 -> 26 [size =\"35771392\"]\n  11 -> 27 [size =\"35771392\"]\n  12 [size=\"60177920\", alpha=\"0.18\", expect_size=\"24071168\"] \n  12 -> 17 [size =\"24071168\"]\n  12 -> 20 [size =\"24071168\"]\n  12 -> 21 [size =\"24071168\"]\n  12 -> 22 [size =\"24071168\"]\n  12 -> 23 [size =\"24071168\"]\n  12 -> 24 [size =\"24071168\"]\n  13 [size=\"55232000\", alpha=\"0.05\", expect_size=\"22092800\"] \n  13 -> 17 [size =\"22092800\"]\n  13 -> 19 [size =\"22092800\"]\n  13 -> 20 [size =\"22092800\"]\n  13 -> 21 [size =\"22092800\"]\n  13 -> 24 [size =\"22092800\"]\n  13 -> 26 [size =\"22092800\"]\n  13 -> 28 [size =\"22092800\"]\n  14 [size=\"106201600\", alpha=\"0.09\", expect_size=\"42480640\"] \n  14 -> 19 [size =\"42480640\"]\n  14 -> 21 [size =\"42480640\"]\n  14 -> 22 [size =\"42480640\"]\n  14 -> 23 [size =\"42480640\"]\n  14 -> 24 [size =\"42480640\"]\n  14 -> 25 [size =\"42480640\"]\n  14 -> 26 [size =\"42480640\"]\n  14 -> 27 [size =\"42480640\"]\n  14 -> 28 [size =\"42480640\"]\n  15 [size=\"105044480\", alpha=\"0.16\", expect_size=\"42017792\"] \n  15 -> 20 [size =\"42017792\"]\n  15 -> 21 [size =\"42017792\"]\n  15 -> 24 [size =\"42017792\"]\n  15 -> 25 [size =\"42017792\"]\n  15 -> 26 [size =\"42017792\"]\n  15 -> 27 [size =\"42017792\"]\n  15 -> 28 [size =\"42017792\"]\n  16 [size=\"22676480\", alpha=\"0.07\", expect_size=\"9070592\"] \n  16 -> 30 [size =\"9070592\"]\n  16 -> 31 [size =\"9070592\"]\n  16 -> 32 [size =\"9070592\"]\n  16 -> 33 [size =\"9070592\"]\n  16 -> 34 [size =\"9070592\"]\n  16 -> 37 [size =\"9070592\"]\n  16 -> 38 [size =\"9070592\"]\n  16 -> 40 [size =\"9070592\"]\n  17 [size=\"107514880\", alpha=\"0.04\", expect_size=\"43005952\"] \n  17 -> 30 [size =\"43005952\"]\n  17 -> 33 [size =\"43005952\"]\n  17 -> 34 [size =\"43005952\"]\n  18 [size=\"57533440\", alpha=\"0.02\", expect_size=\"23013376\"] \n  18 -> 30 [size =\"23013376\"]\n  18 -> 33 [size =\"23013376\"]\n  18 -> 39 [size =\"23013376\"]\n  18 -> 40 [size =\"23013376\"]\n  18 -> 41 [size =\"23013376\"]\n  19 [size=\"74618880\", alpha=\"0.12\", expect_size=\"29847552\"] \n  19 -> 32 [size =\"29847552\"]\n  19 -> 33 [size =\"29847552\"]\n  19 -> 34 [size =\"29847552\"]\n  19 -> 35 [size =\"29847552\"]\n  19 -> 38 [size =\"29847552\"]\n  19 -> 40 [size =\"29847552\"]\n  20 [size=\"63168000\", alpha=\"0.16\", expect_size=\"25267200\"] \n  20 -> 33 [size =\"25267200\"]\n  20 -> 33 [size =\"25267200\"]\n  20 -> 37 [size =\"25267200\"]\n  21 [size=\"86062080\", alpha=\"0.19\", expect_size=\"34424832\"] \n  21 -> 30 [size =\"34424832\"]\n  21 -> 31 [size =\"34424832\"]\n  21 -> 38 [size =\"34424832\"]\n  21 -> 40 [size =\"34424832\"]\n  22 [size=\"68582400\", alpha=\"0.14\", expect_size=\"27432960\"] \n  22 -> 30 [size =\"27432960\"]\n  22 -> 31 [size =\"27432960\"]\n  22 -> 32 [size =\"27432960\"]\n  22 -> 33 [size =\"27432960\"]\n  22 -> 34 [size =\"27432960\"]\n  22 -> 38 [size =\"27432960\"]\n  23 [size=\"58014720\", alpha=\"0.10\", expect_size=\"23205888\"] \n  23 -> 30 [size =\"23205888\"]\n  23 -> 31 [size =\"23205888\"]\n  23 -> 34 [size =\"23205888\"]\n  23 -> 38 [size =\"23205888\"]\n  23 -> 39 [size =\"23205888\"]\n  23 -> 40 [size =\"23205888\"]\n  24 [size=\"86832640\", alpha=\"0.19\", expect_size=\"34733056\"] \n  24 -> 31 [size =\"34733056\"]\n  24 -> 36 [size =\"34733056\"]\n  24 -> 38 [size =\"34733056\"]\n  25 [size=\"21102080\", alpha=\"0.05\", expect_size=\"8440832\"] \n  25 -> 30 [size =\"8440832\"]\n  25 -> 32 [size =\"8440832\"]\n  25 -> 34 [size =\"8440832\"]\n  25 -> 37 [size =\"8440832\"]\n  26 [size=\"116226560\", alpha=\"0.16\", expect_size=\"46490624\"] \n  26 -> 30 [size =\"46490624\"]\n  26 -> 34 [size =\"46490624\"]\n  26 -> 39 [size =\"46490624\"]\n  26 -> 40 [size =\"46490624\"]\n  27 [size=\"36928000\", alpha=\"0.15\", expect_size=\"14771200\"] \n  27 -> 32 [size =\"14771200\"]\n  27 -> 33 [size =\"14771200\"]\n  27 -> 38 [size =\"14771200\"]\n  27 -> 39 [size =\"14771200\"]\n  27 -> 40 [size =\"14771200\"]\n  27 -> 42 [size =\"14771200\"]\n  28 [size=\"59351040\", alpha=\"0.07\", expect_size=\"23740416\"] \n  28 -> 30 [size =\"23740416\"]\n  28 -> 32 [size =\"23740416\"]\n  28 -> 33 [size =\"23740416\"]\n  28 -> 34 [size =\"23740416\"]\n  28 -> 37 [size =\"23740416\"]\n  28 -> 38 [size =\"23740416\"]\n  28 -> 39 [size =\"23740416\"]\n  29 [size=\"72755200\", alpha=\"0.05\", expect_size=\"29102080\"] \n  29 -> 30 [size =\"29102080\"]\n  29 -> 33 [size =\"29102080\"]\n  29 -> 34 [size =\"29102080\"]\n  29 -> 37 [size =\"29102080\"]\n  29 -> 38 [size =\"29102080\"]\n  29 -> 39 [size =\"29102080\"]\n  29 -> 40 [size =\"29102080\"]\n  30 [size=\"22635520\", alpha=\"0.09\", expect_size=\"9054208\"] \n  30 -> 43 [size =\"9054208\"]\n  31 [size=\"117301760\", alpha=\"0.05\", expect_size=\"46920704\"] \n  31 -> 43 [size =\"46920704\"]\n  31 -> 44 [size =\"46920704\"]\n  32 [size=\"113026560\", alpha=\"0.10\", expect_size=\"45210624\"] \n  32 -> 44 [size =\"45210624\"]\n  32 -> 45 [size =\"45210624\"]\n  33 [size=\"80115200\", alpha=\"0.01\", expect_size=\"32046080\"] \n  33 -> 43 [size =\"32046080\"]\n  33 -> 45 [size =\"32046080\"]\n  34 [size=\"21288960\", alpha=\"0.09\", expect_size=\"8515584\"] \n  34 -> 43 [size =\"8515584\"]\n  34 -> 44 [size =\"8515584\"]\n  34 -> 45 [size =\"8515584\"]\n  35 [size=\"16481280\", alpha=\"0.12\", expect_size=\"6592512\"] \n  35 -> 43 [size =\"6592512\"]\n  35 -> 44 [size =\"6592512\"]\n  35 -> 45 [size =\"6592512\"]\n  36 [size=\"45934080\", alpha=\"0.16\", expect_size=\"18373632\"] \n  36 -> 43 [size =\"18373632\"]\n  37 [size=\"24581120\", alpha=\"0.17\", expect_size=\"9832448\"] \n  37 -> 44 [size =\"9832448\"]\n  37 -> 45 [size =\"9832448\"]\n  38 [size=\"111249920\", alpha=\"0.05\", expect_size=\"44499968\"] \n  38 -> 43 [size =\"44499968\"]\n  39 [size=\"32097280\", alpha=\"0.03\", expect_size=\"12838912\"] \n  39 -> 43 [size =\"12838912\"]\n  40 [size=\"63080960\", alpha=\"0.10\", expect_size=\"25232384\"] \n  41 [size=\"114846720\", alpha=\"0.10\", expect_size=\"45938688\"] \n  41 -> 45 [size =\"45938688\"]\n  42 [size=\"27786240\", alpha=\"0.19\", expect_size=\"11114496\"] \n  42 -> 43 [size =\"11114496\"]\n  43 [size=\"84899840\", alpha=\"0.15\", expect_size=\"33959936\"] \n  44 [size=\"92385280\", alpha=\"0.04\", expect_size=\"36954112\"] \n  45 [size=\"25374720\", alpha=\"0.14\", expect_size=\"10149888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79411200\", alpha=\"0.06\", expect_size=\"23823360\"] \n  1 -> 28 [size =\"23823360\"]\n  1 -> 29 [size =\"23823360\"]\n  1 -> 34 [size =\"23823360\"]\n  1 -> 35 [size =\"23823360\"]\n  1 -> 40 [size =\"23823360\"]\n  1 -> 45 [size =\"23823360\"]\n  2 [size=\"32604160\", alpha=\"0.04\", expect_size=\"9781248\"] \n  2 -> 28 [size =\"9781248\"]\n  2 -> 30 [size =\"9781248\"]\n  2 -> 32 [size =\"9781248\"]\n  2 -> 34 [size =\"9781248\"]\n  2 -> 35 [size =\"9781248\"]\n  2 -> 36 [size =\"9781248\"]\n  2 -> 37 [size =\"9781248\"]\n  3 [size=\"43543893\", alpha=\"0.01\", expect_size=\"13063168\"] \n  3 -> 30 [size =\"13063168\"]\n  3 -> 32 [size =\"13063168\"]\n  3 -> 34 [size =\"13063168\"]\n  3 -> 34 [size =\"13063168\"]\n  3 -> 35 [size =\"13063168\"]\n  3 -> 40 [size =\"13063168\"]\n  3 -> 41 [size =\"13063168\"]\n  3 -> 45 [size =\"13063168\"]\n  4 [size=\"41547093\", alpha=\"0.05\", expect_size=\"12464128\"] \n  4 -> 28 [size =\"12464128\"]\n  4 -> 32 [size =\"12464128\"]\n  4 -> 43 [size =\"12464128\"]\n  5 [size=\"45182293\", alpha=\"0.14\", expect_size=\"13554688\"] \n  5 -> 29 [size =\"13554688\"]\n  5 -> 30 [size =\"13554688\"]\n  5 -> 35 [size =\"13554688\"]\n  5 -> 37 [size =\"13554688\"]\n  5 -> 41 [size =\"13554688\"]\n  5 -> 42 [size =\"13554688\"]\n  5 -> 44 [size =\"13554688\"]\n  6 [size=\"78100480\", alpha=\"0.02\", expect_size=\"23430144\"] \n  6 -> 28 [size =\"23430144\"]\n  6 -> 39 [size =\"23430144\"]\n  7 [size=\"120968533\", alpha=\"0.15\", expect_size=\"36290560\"] \n  7 -> 30 [size =\"36290560\"]\n  7 -> 31 [size =\"36290560\"]\n  7 -> 42 [size =\"36290560\"]\n  8 [size=\"111015253\", alpha=\"0.02\", expect_size=\"33304576\"] \n  8 -> 30 [size =\"33304576\"]\n  8 -> 37 [size =\"33304576\"]\n  8 -> 42 [size =\"33304576\"]\n  9 [size=\"69560320\", alpha=\"0.00\", expect_size=\"20868096\"] \n  9 -> 37 [size =\"20868096\"]\n  9 -> 40 [size =\"20868096\"]\n  10 [size=\"29221547\", alpha=\"0.03\", expect_size=\"8766464\"] \n  10 -> 36 [size =\"8766464\"]\n  10 -> 39 [size =\"8766464\"]\n  10 -> 45 [size =\"8766464\"]\n  11 [size=\"121859413\", alpha=\"0.13\", expect_size=\"36557824\"] \n  11 -> 28 [size =\"36557824\"]\n  11 -> 33 [size =\"36557824\"]\n  11 -> 34 [size =\"36557824\"]\n  11 -> 35 [size =\"36557824\"]\n  11 -> 36 [size =\"36557824\"]\n  11 -> 39 [size =\"36557824\"]\n  11 -> 40 [size =\"36557824\"]\n  11 -> 45 [size =\"36557824\"]\n  12 [size=\"168751787\", alpha=\"0.03\", expect_size=\"50625536\"] \n  12 -> 28 [size =\"50625536\"]\n  12 -> 30 [size =\"50625536\"]\n  12 -> 31 [size =\"50625536\"]\n  12 -> 33 [size =\"50625536\"]\n  12 -> 35 [size =\"50625536\"]\n  12 -> 36 [size =\"50625536\"]\n  12 -> 39 [size =\"50625536\"]\n  12 -> 40 [size =\"50625536\"]\n  13 [size=\"40017920\", alpha=\"0.15\", expect_size=\"12005376\"] \n  13 -> 28 [size =\"12005376\"]\n  13 -> 30 [size =\"12005376\"]\n  13 -> 36 [size =\"12005376\"]\n  13 -> 41 [size =\"12005376\"]\n  13 -> 45 [size =\"12005376\"]\n  14 [size=\"45755733\", alpha=\"0.10\", expect_size=\"13726720\"] \n  14 -> 30 [size =\"13726720\"]\n  14 -> 32 [size =\"13726720\"]\n  14 -> 39 [size =\"13726720\"]\n  14 -> 45 [size =\"13726720\"]\n  15 [size=\"88944640\", alpha=\"0.08\", expect_size=\"26683392\"] \n  15 -> 34 [size =\"26683392\"]\n  15 -> 38 [size =\"26683392\"]\n  15 -> 39 [size =\"26683392\"]\n  15 -> 40 [size =\"26683392\"]\n  15 -> 41 [size =\"26683392\"]\n  15 -> 42 [size =\"26683392\"]\n  16 [size=\"39847253\", alpha=\"0.11\", expect_size=\"11954176\"] \n  16 -> 29 [size =\"11954176\"]\n  16 -> 34 [size =\"11954176\"]\n  16 -> 35 [size =\"11954176\"]\n  16 -> 39 [size =\"11954176\"]\n  16 -> 40 [size =\"11954176\"]\n  16 -> 41 [size =\"11954176\"]\n  16 -> 42 [size =\"11954176\"]\n  16 -> 45 [size =\"11954176\"]\n  17 [size=\"54493867\", alpha=\"0.18\", expect_size=\"16348160\"] \n  17 -> 41 [size =\"16348160\"]\n  17 -> 42 [size =\"16348160\"]\n  17 -> 44 [size =\"16348160\"]\n  17 -> 45 [size =\"16348160\"]\n  18 [size=\"171018240\", alpha=\"0.18\", expect_size=\"51305472\"] \n  18 -> 29 [size =\"51305472\"]\n  18 -> 33 [size =\"51305472\"]\n  18 -> 38 [size =\"51305472\"]\n  18 -> 40 [size =\"51305472\"]\n  18 -> 45 [size =\"51305472\"]\n  19 [size=\"33208320\", alpha=\"0.19\", expect_size=\"9962496\"] \n  19 -> 29 [size =\"9962496\"]\n  19 -> 30 [size =\"9962496\"]\n  19 -> 32 [size =\"9962496\"]\n  19 -> 39 [size =\"9962496\"]\n  19 -> 40 [size =\"9962496\"]\n  19 -> 42 [size =\"9962496\"]\n  19 -> 45 [size =\"9962496\"]\n  20 [size=\"34546347\", alpha=\"0.11\", expect_size=\"10363904\"] \n  20 -> 29 [size =\"10363904\"]\n  20 -> 34 [size =\"10363904\"]\n  20 -> 35 [size =\"10363904\"]\n  20 -> 40 [size =\"10363904\"]\n  20 -> 45 [size =\"10363904\"]\n  21 [size=\"54265173\", alpha=\"0.11\", expect_size=\"16279552\"] \n  21 -> 29 [size =\"16279552\"]\n  21 -> 34 [size =\"16279552\"]\n  21 -> 40 [size =\"16279552\"]\n  21 -> 42 [size =\"16279552\"]\n  21 -> 45 [size =\"16279552\"]\n  22 [size=\"159098880\", alpha=\"0.14\", expect_size=\"47729664\"] \n  22 -> 29 [size =\"47729664\"]\n  22 -> 30 [size =\"47729664\"]\n  22 -> 31 [size =\"47729664\"]\n  22 -> 33 [size =\"47729664\"]\n  22 -> 36 [size =\"47729664\"]\n  23 [size=\"23268693\", alpha=\"0.19\", expect_size=\"6980608\"] \n  23 -> 28 [size =\"6980608\"]\n  23 -> 29 [size =\"6980608\"]\n  23 -> 30 [size =\"6980608\"]\n  23 -> 34 [size =\"6980608\"]\n  23 -> 37 [size =\"6980608\"]\n  23 -> 38 [size =\"6980608\"]\n  24 [size=\"142643200\", alpha=\"0.08\", expect_size=\"42792960\"] \n  24 -> 30 [size =\"42792960\"]\n  24 -> 31 [size =\"42792960\"]\n  24 -> 33 [size =\"42792960\"]\n  24 -> 34 [size =\"42792960\"]\n  24 -> 40 [size =\"42792960\"]\n  24 -> 41 [size =\"42792960\"]\n  25 [size=\"62098773\", alpha=\"0.20\", expect_size=\"18629632\"] \n  25 -> 31 [size =\"18629632\"]\n  25 -> 34 [size =\"18629632\"]\n  25 -> 37 [size =\"18629632\"]\n  25 -> 42 [size =\"18629632\"]\n  26 [size=\"123549013\", alpha=\"0.20\", expect_size=\"37064704\"] \n  26 -> 28 [size =\"37064704\"]\n  26 -> 34 [size =\"37064704\"]\n  26 -> 40 [size =\"37064704\"]\n  27 [size=\"56101547\", alpha=\"0.13\", expect_size=\"16830464\"] \n  27 -> 28 [size =\"16830464\"]\n  27 -> 29 [size =\"16830464\"]\n  27 -> 34 [size =\"16830464\"]\n  27 -> 44 [size =\"16830464\"]\n  28 [size=\"38772053\", alpha=\"0.18\", expect_size=\"11631616\"] \n  29 [size=\"25378133\", alpha=\"0.09\", expect_size=\"7613440\"] \n  30 [size=\"172970667\", alpha=\"0.02\", expect_size=\"51891200\"] \n  31 [size=\"103581013\", alpha=\"0.08\", expect_size=\"31074304\"] \n  32 [size=\"36433920\", alpha=\"0.14\", expect_size=\"10930176\"] \n  33 [size=\"143943680\", alpha=\"0.02\", expect_size=\"43183104\"] \n  34 [size=\"137611947\", alpha=\"0.14\", expect_size=\"41283584\"] \n  35 [size=\"41506133\", alpha=\"0.15\", expect_size=\"12451840\"] \n  36 [size=\"40625493\", alpha=\"0.19\", expect_size=\"12187648\"] \n  37 [size=\"38304427\", alpha=\"0.08\", expect_size=\"11491328\"] \n  38 [size=\"138038613\", alpha=\"0.16\", expect_size=\"41411584\"] \n  39 [size=\"118797653\", alpha=\"0.06\", expect_size=\"35639296\"] \n  40 [size=\"32669013\", alpha=\"0.18\", expect_size=\"9800704\"] \n  41 [size=\"48684373\", alpha=\"0.15\", expect_size=\"14605312\"] \n  42 [size=\"113947307\", alpha=\"0.10\", expect_size=\"34184192\"] \n  43 [size=\"65157120\", alpha=\"0.06\", expect_size=\"19547136\"] \n  44 [size=\"82145280\", alpha=\"0.18\", expect_size=\"24643584\"] \n  45 [size=\"35908267\", alpha=\"0.15\", expect_size=\"10772480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90936320\", alpha=\"0.16\", expect_size=\"36374528\"] \n  1 -> 34 [size =\"36374528\"]\n  1 -> 36 [size =\"36374528\"]\n  1 -> 43 [size =\"36374528\"]\n  1 -> 43 [size =\"36374528\"]\n  1 -> 44 [size =\"36374528\"]\n  2 [size=\"94039040\", alpha=\"0.15\", expect_size=\"37615616\"] \n  2 -> 29 [size =\"37615616\"]\n  2 -> 34 [size =\"37615616\"]\n  2 -> 35 [size =\"37615616\"]\n  2 -> 36 [size =\"37615616\"]\n  2 -> 41 [size =\"37615616\"]\n  2 -> 43 [size =\"37615616\"]\n  2 -> 44 [size =\"37615616\"]\n  2 -> 45 [size =\"37615616\"]\n  3 [size=\"125831680\", alpha=\"0.20\", expect_size=\"50332672\"] \n  3 -> 29 [size =\"50332672\"]\n  3 -> 34 [size =\"50332672\"]\n  3 -> 37 [size =\"50332672\"]\n  3 -> 41 [size =\"50332672\"]\n  3 -> 41 [size =\"50332672\"]\n  4 [size=\"27205120\", alpha=\"0.02\", expect_size=\"10882048\"] \n  4 -> 29 [size =\"10882048\"]\n  4 -> 31 [size =\"10882048\"]\n  4 -> 34 [size =\"10882048\"]\n  4 -> 35 [size =\"10882048\"]\n  4 -> 41 [size =\"10882048\"]\n  4 -> 43 [size =\"10882048\"]\n  4 -> 44 [size =\"10882048\"]\n  5 [size=\"59100160\", alpha=\"0.02\", expect_size=\"23640064\"] \n  5 -> 31 [size =\"23640064\"]\n  5 -> 34 [size =\"23640064\"]\n  5 -> 39 [size =\"23640064\"]\n  5 -> 44 [size =\"23640064\"]\n  6 [size=\"65100800\", alpha=\"0.12\", expect_size=\"26040320\"] \n  6 -> 35 [size =\"26040320\"]\n  6 -> 44 [size =\"26040320\"]\n  6 -> 45 [size =\"26040320\"]\n  7 [size=\"110824960\", alpha=\"0.04\", expect_size=\"44329984\"] \n  7 -> 31 [size =\"44329984\"]\n  7 -> 36 [size =\"44329984\"]\n  7 -> 39 [size =\"44329984\"]\n  7 -> 41 [size =\"44329984\"]\n  7 -> 42 [size =\"44329984\"]\n  8 [size=\"44846080\", alpha=\"0.05\", expect_size=\"17938432\"] \n  8 -> 31 [size =\"17938432\"]\n  8 -> 32 [size =\"17938432\"]\n  8 -> 35 [size =\"17938432\"]\n  8 -> 38 [size =\"17938432\"]\n  8 -> 41 [size =\"17938432\"]\n  9 [size=\"113287680\", alpha=\"0.19\", expect_size=\"45315072\"] \n  9 -> 29 [size =\"45315072\"]\n  9 -> 32 [size =\"45315072\"]\n  9 -> 33 [size =\"45315072\"]\n  9 -> 34 [size =\"45315072\"]\n  9 -> 35 [size =\"45315072\"]\n  9 -> 38 [size =\"45315072\"]\n  10 [size=\"26882560\", alpha=\"0.07\", expect_size=\"10753024\"] \n  10 -> 29 [size =\"10753024\"]\n  10 -> 35 [size =\"10753024\"]\n  10 -> 41 [size =\"10753024\"]\n  10 -> 43 [size =\"10753024\"]\n  11 [size=\"42833920\", alpha=\"0.17\", expect_size=\"17133568\"] \n  11 -> 31 [size =\"17133568\"]\n  11 -> 34 [size =\"17133568\"]\n  11 -> 35 [size =\"17133568\"]\n  11 -> 38 [size =\"17133568\"]\n  11 -> 44 [size =\"17133568\"]\n  12 [size=\"17049600\", alpha=\"0.18\", expect_size=\"6819840\"] \n  12 -> 29 [size =\"6819840\"]\n  12 -> 30 [size =\"6819840\"]\n  12 -> 31 [size =\"6819840\"]\n  12 -> 36 [size =\"6819840\"]\n  12 -> 44 [size =\"6819840\"]\n  13 [size=\"105512960\", alpha=\"0.04\", expect_size=\"42205184\"] \n  13 -> 32 [size =\"42205184\"]\n  13 -> 37 [size =\"42205184\"]\n  13 -> 39 [size =\"42205184\"]\n  13 -> 44 [size =\"42205184\"]\n  14 [size=\"103319040\", alpha=\"0.16\", expect_size=\"41327616\"] \n  14 -> 29 [size =\"41327616\"]\n  14 -> 34 [size =\"41327616\"]\n  14 -> 45 [size =\"41327616\"]\n  15 [size=\"114933760\", alpha=\"0.09\", expect_size=\"45973504\"] \n  15 -> 34 [size =\"45973504\"]\n  15 -> 35 [size =\"45973504\"]\n  15 -> 36 [size =\"45973504\"]\n  15 -> 39 [size =\"45973504\"]\n  15 -> 43 [size =\"45973504\"]\n  16 [size=\"126553600\", alpha=\"0.06\", expect_size=\"50621440\"] \n  16 -> 29 [size =\"50621440\"]\n  16 -> 39 [size =\"50621440\"]\n  16 -> 42 [size =\"50621440\"]\n  16 -> 43 [size =\"50621440\"]\n  17 [size=\"78494720\", alpha=\"0.06\", expect_size=\"31397888\"] \n  17 -> 29 [size =\"31397888\"]\n  17 -> 38 [size =\"31397888\"]\n  17 -> 39 [size =\"31397888\"]\n  17 -> 40 [size =\"31397888\"]\n  17 -> 41 [size =\"31397888\"]\n  18 [size=\"104432640\", alpha=\"0.11\", expect_size=\"41773056\"] \n  18 -> 30 [size =\"41773056\"]\n  18 -> 33 [size =\"41773056\"]\n  18 -> 35 [size =\"41773056\"]\n  18 -> 36 [size =\"41773056\"]\n  18 -> 41 [size =\"41773056\"]\n  19 [size=\"15759360\", alpha=\"0.06\", expect_size=\"6303744\"] \n  19 -> 33 [size =\"6303744\"]\n  19 -> 35 [size =\"6303744\"]\n  19 -> 35 [size =\"6303744\"]\n  19 -> 36 [size =\"6303744\"]\n  19 -> 41 [size =\"6303744\"]\n  20 [size=\"130168320\", alpha=\"0.12\", expect_size=\"52067328\"] \n  20 -> 29 [size =\"52067328\"]\n  20 -> 33 [size =\"52067328\"]\n  20 -> 36 [size =\"52067328\"]\n  20 -> 36 [size =\"52067328\"]\n  20 -> 39 [size =\"52067328\"]\n  20 -> 41 [size =\"52067328\"]\n  20 -> 44 [size =\"52067328\"]\n  21 [size=\"54807040\", alpha=\"0.11\", expect_size=\"21922816\"] \n  21 -> 38 [size =\"21922816\"]\n  21 -> 41 [size =\"21922816\"]\n  22 [size=\"39170560\", alpha=\"0.03\", expect_size=\"15668224\"] \n  22 -> 29 [size =\"15668224\"]\n  22 -> 30 [size =\"15668224\"]\n  22 -> 41 [size =\"15668224\"]\n  23 [size=\"25978880\", alpha=\"0.15\", expect_size=\"10391552\"] \n  24 [size=\"49966080\", alpha=\"0.09\", expect_size=\"19986432\"] \n  24 -> 29 [size =\"19986432\"]\n  24 -> 35 [size =\"19986432\"]\n  24 -> 36 [size =\"19986432\"]\n  24 -> 37 [size =\"19986432\"]\n  24 -> 38 [size =\"19986432\"]\n  24 -> 42 [size =\"19986432\"]\n  24 -> 44 [size =\"19986432\"]\n  25 [size=\"28710400\", alpha=\"0.11\", expect_size=\"11484160\"] \n  25 -> 29 [size =\"11484160\"]\n  25 -> 35 [size =\"11484160\"]\n  25 -> 37 [size =\"11484160\"]\n  25 -> 41 [size =\"11484160\"]\n  25 -> 44 [size =\"11484160\"]\n  26 [size=\"80778240\", alpha=\"0.02\", expect_size=\"32311296\"] \n  26 -> 29 [size =\"32311296\"]\n  26 -> 30 [size =\"32311296\"]\n  26 -> 34 [size =\"32311296\"]\n  26 -> 35 [size =\"32311296\"]\n  26 -> 36 [size =\"32311296\"]\n  26 -> 41 [size =\"32311296\"]\n  26 -> 44 [size =\"32311296\"]\n  27 [size=\"117022720\", alpha=\"0.09\", expect_size=\"46809088\"] \n  27 -> 33 [size =\"46809088\"]\n  27 -> 35 [size =\"46809088\"]\n  27 -> 38 [size =\"46809088\"]\n  27 -> 43 [size =\"46809088\"]\n  28 [size=\"36666880\", alpha=\"0.02\", expect_size=\"14666752\"] \n  28 -> 29 [size =\"14666752\"]\n  28 -> 31 [size =\"14666752\"]\n  28 -> 35 [size =\"14666752\"]\n  28 -> 43 [size =\"14666752\"]\n  29 [size=\"99845120\", alpha=\"0.11\", expect_size=\"39938048\"] \n  30 [size=\"17231360\", alpha=\"0.03\", expect_size=\"6892544\"] \n  31 [size=\"86192640\", alpha=\"0.00\", expect_size=\"34477056\"] \n  32 [size=\"30663680\", alpha=\"0.18\", expect_size=\"12265472\"] \n  33 [size=\"49546240\", alpha=\"0.11\", expect_size=\"19818496\"] \n  34 [size=\"19632640\", alpha=\"0.00\", expect_size=\"7853056\"] \n  35 [size=\"72988160\", alpha=\"0.06\", expect_size=\"29195264\"] \n  36 [size=\"19678720\", alpha=\"0.11\", expect_size=\"7871488\"] \n  37 [size=\"29660160\", alpha=\"0.07\", expect_size=\"11864064\"] \n  38 [size=\"82693120\", alpha=\"0.19\", expect_size=\"33077248\"] \n  39 [size=\"92546560\", alpha=\"0.11\", expect_size=\"37018624\"] \n  40 [size=\"41441280\", alpha=\"0.03\", expect_size=\"16576512\"] \n  41 [size=\"61117440\", alpha=\"0.03\", expect_size=\"24446976\"] \n  42 [size=\"63336960\", alpha=\"0.06\", expect_size=\"25334784\"] \n  43 [size=\"52044800\", alpha=\"0.12\", expect_size=\"20817920\"] \n  44 [size=\"119646720\", alpha=\"0.04\", expect_size=\"47858688\"] \n  45 [size=\"120422400\", alpha=\"0.18\", expect_size=\"48168960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47677440\", alpha=\"0.02\", expect_size=\"23838720\"] \n  1 -> 15 [size =\"23838720\"]\n  2 [size=\"26630144\", alpha=\"0.14\", expect_size=\"13315072\"] \n  2 -> 18 [size =\"13315072\"]\n  2 -> 19 [size =\"13315072\"]\n  2 -> 24 [size =\"13315072\"]\n  3 [size=\"26408960\", alpha=\"0.17\", expect_size=\"13204480\"] \n  3 -> 14 [size =\"13204480\"]\n  3 -> 18 [size =\"13204480\"]\n  3 -> 19 [size =\"13204480\"]\n  3 -> 20 [size =\"13204480\"]\n  3 -> 21 [size =\"13204480\"]\n  3 -> 22 [size =\"13204480\"]\n  4 [size=\"86190080\", alpha=\"0.14\", expect_size=\"43095040\"] \n  4 -> 16 [size =\"43095040\"]\n  4 -> 17 [size =\"43095040\"]\n  4 -> 19 [size =\"43095040\"]\n  4 -> 23 [size =\"43095040\"]\n  4 -> 24 [size =\"43095040\"]\n  5 [size=\"38834176\", alpha=\"0.13\", expect_size=\"19417088\"] \n  5 -> 16 [size =\"19417088\"]\n  5 -> 17 [size =\"19417088\"]\n  5 -> 21 [size =\"19417088\"]\n  5 -> 22 [size =\"19417088\"]\n  5 -> 23 [size =\"19417088\"]\n  5 -> 24 [size =\"19417088\"]\n  6 [size=\"33269760\", alpha=\"0.12\", expect_size=\"16634880\"] \n  6 -> 16 [size =\"16634880\"]\n  6 -> 17 [size =\"16634880\"]\n  6 -> 21 [size =\"16634880\"]\n  6 -> 24 [size =\"16634880\"]\n  7 [size=\"12562432\", alpha=\"0.01\", expect_size=\"6281216\"] \n  7 -> 15 [size =\"6281216\"]\n  7 -> 18 [size =\"6281216\"]\n  7 -> 22 [size =\"6281216\"]\n  8 [size=\"69677056\", alpha=\"0.10\", expect_size=\"34838528\"] \n  8 -> 15 [size =\"34838528\"]\n  8 -> 19 [size =\"34838528\"]\n  8 -> 22 [size =\"34838528\"]\n  8 -> 23 [size =\"34838528\"]\n  8 -> 24 [size =\"34838528\"]\n  9 [size=\"50608128\", alpha=\"0.20\", expect_size=\"25304064\"] \n  9 -> 15 [size =\"25304064\"]\n  9 -> 17 [size =\"25304064\"]\n  9 -> 18 [size =\"25304064\"]\n  9 -> 19 [size =\"25304064\"]\n  10 [size=\"82264064\", alpha=\"0.02\", expect_size=\"41132032\"] \n  10 -> 17 [size =\"41132032\"]\n  10 -> 19 [size =\"41132032\"]\n  10 -> 22 [size =\"41132032\"]\n  11 [size=\"54478848\", alpha=\"0.01\", expect_size=\"27239424\"] \n  11 -> 17 [size =\"27239424\"]\n  11 -> 19 [size =\"27239424\"]\n  11 -> 23 [size =\"27239424\"]\n  11 -> 24 [size =\"27239424\"]\n  12 [size=\"64253952\", alpha=\"0.08\", expect_size=\"32126976\"] \n  12 -> 17 [size =\"32126976\"]\n  12 -> 18 [size =\"32126976\"]\n  13 [size=\"37171200\", alpha=\"0.14\", expect_size=\"18585600\"] \n  13 -> 18 [size =\"18585600\"]\n  14 [size=\"21198848\", alpha=\"0.11\", expect_size=\"10599424\"] \n  14 -> 27 [size =\"10599424\"]\n  14 -> 29 [size =\"10599424\"]\n  15 [size=\"88293376\", alpha=\"0.01\", expect_size=\"44146688\"] \n  15 -> 29 [size =\"44146688\"]\n  15 -> 29 [size =\"44146688\"]\n  16 [size=\"54157312\", alpha=\"0.03\", expect_size=\"27078656\"] \n  16 -> 26 [size =\"27078656\"]\n  16 -> 28 [size =\"27078656\"]\n  16 -> 29 [size =\"27078656\"]\n  17 [size=\"16007168\", alpha=\"0.14\", expect_size=\"8003584\"] \n  17 -> 27 [size =\"8003584\"]\n  17 -> 28 [size =\"8003584\"]\n  17 -> 29 [size =\"8003584\"]\n  17 -> 30 [size =\"8003584\"]\n  18 [size=\"22792192\", alpha=\"0.19\", expect_size=\"11396096\"] \n  18 -> 29 [size =\"11396096\"]\n  19 [size=\"71481344\", alpha=\"0.07\", expect_size=\"35740672\"] \n  19 -> 31 [size =\"35740672\"]\n  20 [size=\"71200768\", alpha=\"0.15\", expect_size=\"35600384\"] \n  20 -> 27 [size =\"35600384\"]\n  20 -> 28 [size =\"35600384\"]\n  20 -> 31 [size =\"35600384\"]\n  21 [size=\"82333696\", alpha=\"0.11\", expect_size=\"41166848\"] \n  22 [size=\"89139200\", alpha=\"0.10\", expect_size=\"44569600\"] \n  22 -> 25 [size =\"44569600\"]\n  22 -> 31 [size =\"44569600\"]\n  23 [size=\"32120832\", alpha=\"0.13\", expect_size=\"16060416\"] \n  23 -> 25 [size =\"16060416\"]\n  24 [size=\"96727040\", alpha=\"0.12\", expect_size=\"48363520\"] \n  24 -> 25 [size =\"48363520\"]\n  25 [size=\"55402496\", alpha=\"0.16\", expect_size=\"27701248\"] \n  25 -> 36 [size =\"27701248\"]\n  25 -> 39 [size =\"27701248\"]\n  26 [size=\"60733440\", alpha=\"0.06\", expect_size=\"30366720\"] \n  26 -> 32 [size =\"30366720\"]\n  26 -> 33 [size =\"30366720\"]\n  26 -> 35 [size =\"30366720\"]\n  27 [size=\"73420800\", alpha=\"0.16\", expect_size=\"36710400\"] \n  27 -> 32 [size =\"36710400\"]\n  27 -> 37 [size =\"36710400\"]\n  27 -> 38 [size =\"36710400\"]\n  27 -> 39 [size =\"36710400\"]\n  28 [size=\"47108096\", alpha=\"0.19\", expect_size=\"23554048\"] \n  28 -> 32 [size =\"23554048\"]\n  28 -> 33 [size =\"23554048\"]\n  28 -> 36 [size =\"23554048\"]\n  28 -> 37 [size =\"23554048\"]\n  28 -> 38 [size =\"23554048\"]\n  29 [size=\"40329216\", alpha=\"0.10\", expect_size=\"20164608\"] \n  30 [size=\"71311360\", alpha=\"0.16\", expect_size=\"35655680\"] \n  30 -> 34 [size =\"35655680\"]\n  30 -> 38 [size =\"35655680\"]\n  31 [size=\"46129152\", alpha=\"0.12\", expect_size=\"23064576\"] \n  31 -> 32 [size =\"23064576\"]\n  31 -> 33 [size =\"23064576\"]\n  31 -> 34 [size =\"23064576\"]\n  31 -> 38 [size =\"23064576\"]\n  32 [size=\"96348160\", alpha=\"0.19\", expect_size=\"48174080\"] \n  32 -> 42 [size =\"48174080\"]\n  32 -> 43 [size =\"48174080\"]\n  32 -> 44 [size =\"48174080\"]\n  33 [size=\"49367040\", alpha=\"0.12\", expect_size=\"24683520\"] \n  34 [size=\"15484928\", alpha=\"0.07\", expect_size=\"7742464\"] \n  34 -> 42 [size =\"7742464\"]\n  34 -> 43 [size =\"7742464\"]\n  35 [size=\"70404096\", alpha=\"0.18\", expect_size=\"35202048\"] \n  35 -> 41 [size =\"35202048\"]\n  35 -> 45 [size =\"35202048\"]\n  36 [size=\"53731328\", alpha=\"0.19\", expect_size=\"26865664\"] \n  36 -> 40 [size =\"26865664\"]\n  36 -> 42 [size =\"26865664\"]\n  37 [size=\"82624512\", alpha=\"0.01\", expect_size=\"41312256\"] \n  37 -> 40 [size =\"41312256\"]\n  37 -> 43 [size =\"41312256\"]\n  37 -> 45 [size =\"41312256\"]\n  38 [size=\"64790528\", alpha=\"0.06\", expect_size=\"32395264\"] \n  38 -> 40 [size =\"32395264\"]\n  38 -> 41 [size =\"32395264\"]\n  38 -> 42 [size =\"32395264\"]\n  38 -> 43 [size =\"32395264\"]\n  38 -> 44 [size =\"32395264\"]\n  38 -> 45 [size =\"32395264\"]\n  39 [size=\"59418624\", alpha=\"0.03\", expect_size=\"29709312\"] \n  39 -> 40 [size =\"29709312\"]\n  39 -> 45 [size =\"29709312\"]\n  40 [size=\"12261376\", alpha=\"0.13\", expect_size=\"6130688\"] \n  41 [size=\"89473024\", alpha=\"0.19\", expect_size=\"44736512\"] \n  42 [size=\"51931136\", alpha=\"0.01\", expect_size=\"25965568\"] \n  43 [size=\"47777792\", alpha=\"0.08\", expect_size=\"23888896\"] \n  44 [size=\"103698432\", alpha=\"0.13\", expect_size=\"51849216\"] \n  45 [size=\"41664512\", alpha=\"0.08\", expect_size=\"20832256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97062912\", alpha=\"0.08\", expect_size=\"48531456\"] \n  1 -> 3 [size =\"48531456\"]\n  1 -> 4 [size =\"48531456\"]\n  2 [size=\"86659072\", alpha=\"0.13\", expect_size=\"43329536\"] \n  2 -> 3 [size =\"43329536\"]\n  2 -> 4 [size =\"43329536\"]\n  3 [size=\"90007552\", alpha=\"0.02\", expect_size=\"45003776\"] \n  3 -> 6 [size =\"45003776\"]\n  3 -> 7 [size =\"45003776\"]\n  4 [size=\"82014208\", alpha=\"0.04\", expect_size=\"41007104\"] \n  4 -> 5 [size =\"41007104\"]\n  4 -> 6 [size =\"41007104\"]\n  4 -> 7 [size =\"41007104\"]\n  5 [size=\"30447616\", alpha=\"0.11\", expect_size=\"15223808\"] \n  5 -> 8 [size =\"15223808\"]\n  6 [size=\"69840896\", alpha=\"0.04\", expect_size=\"34920448\"] \n  7 [size=\"38604800\", alpha=\"0.18\", expect_size=\"19302400\"] \n  7 -> 9 [size =\"19302400\"]\n  7 -> 10 [size =\"19302400\"]\n  8 [size=\"17367040\", alpha=\"0.14\", expect_size=\"8683520\"] \n  8 -> 11 [size =\"8683520\"]\n  8 -> 12 [size =\"8683520\"]\n  8 -> 13 [size =\"8683520\"]\n  9 [size=\"22978560\", alpha=\"0.05\", expect_size=\"11489280\"] \n  9 -> 11 [size =\"11489280\"]\n  9 -> 12 [size =\"11489280\"]\n  9 -> 13 [size =\"11489280\"]\n  10 [size=\"59113472\", alpha=\"0.01\", expect_size=\"29556736\"] \n  10 -> 11 [size =\"29556736\"]\n  10 -> 12 [size =\"29556736\"]\n  10 -> 13 [size =\"29556736\"]\n  11 [size=\"17283072\", alpha=\"0.03\", expect_size=\"8641536\"] \n  11 -> 15 [size =\"8641536\"]\n  12 [size=\"57247744\", alpha=\"0.01\", expect_size=\"28623872\"] \n  12 -> 14 [size =\"28623872\"]\n  13 [size=\"24623104\", alpha=\"0.11\", expect_size=\"12311552\"] \n  13 -> 14 [size =\"12311552\"]\n  14 [size=\"33257472\", alpha=\"0.19\", expect_size=\"16628736\"] \n  14 -> 16 [size =\"16628736\"]\n  14 -> 17 [size =\"16628736\"]\n  15 [size=\"52514816\", alpha=\"0.07\", expect_size=\"26257408\"] \n  15 -> 16 [size =\"26257408\"]\n  15 -> 17 [size =\"26257408\"]\n  15 -> 18 [size =\"26257408\"]\n  16 [size=\"103395328\", alpha=\"0.14\", expect_size=\"51697664\"] \n  16 -> 19 [size =\"51697664\"]\n  16 -> 21 [size =\"51697664\"]\n  17 [size=\"29988864\", alpha=\"0.02\", expect_size=\"14994432\"] \n  17 -> 19 [size =\"14994432\"]\n  17 -> 20 [size =\"14994432\"]\n  17 -> 21 [size =\"14994432\"]\n  18 [size=\"22052864\", alpha=\"0.05\", expect_size=\"11026432\"] \n  18 -> 19 [size =\"11026432\"]\n  18 -> 21 [size =\"11026432\"]\n  19 [size=\"89034752\", alpha=\"0.08\", expect_size=\"44517376\"] \n  19 -> 24 [size =\"44517376\"]\n  20 [size=\"17647616\", alpha=\"0.15\", expect_size=\"8823808\"] \n  20 -> 22 [size =\"8823808\"]\n  20 -> 23 [size =\"8823808\"]\n  21 [size=\"24068096\", alpha=\"0.19\", expect_size=\"12034048\"] \n  22 [size=\"37066752\", alpha=\"0.00\", expect_size=\"18533376\"] \n  22 -> 25 [size =\"18533376\"]\n  22 -> 26 [size =\"18533376\"]\n  23 [size=\"43489280\", alpha=\"0.18\", expect_size=\"21744640\"] \n  23 -> 25 [size =\"21744640\"]\n  23 -> 26 [size =\"21744640\"]\n  24 [size=\"95952896\", alpha=\"0.11\", expect_size=\"47976448\"] \n  24 -> 27 [size =\"47976448\"]\n  25 [size=\"93569024\", alpha=\"0.08\", expect_size=\"46784512\"] \n  25 -> 28 [size =\"46784512\"]\n  25 -> 29 [size =\"46784512\"]\n  26 [size=\"30550016\", alpha=\"0.17\", expect_size=\"15275008\"] \n  26 -> 28 [size =\"15275008\"]\n  26 -> 29 [size =\"15275008\"]\n  27 [size=\"95633408\", alpha=\"0.13\", expect_size=\"47816704\"] \n  27 -> 28 [size =\"47816704\"]\n  27 -> 29 [size =\"47816704\"]\n  28 [size=\"103757824\", alpha=\"0.10\", expect_size=\"51878912\"] \n  28 -> 30 [size =\"51878912\"]\n  28 -> 31 [size =\"51878912\"]\n  28 -> 32 [size =\"51878912\"]\n  29 [size=\"33992704\", alpha=\"0.10\", expect_size=\"16996352\"] \n  29 -> 30 [size =\"16996352\"]\n  29 -> 31 [size =\"16996352\"]\n  29 -> 32 [size =\"16996352\"]\n  30 [size=\"73084928\", alpha=\"0.19\", expect_size=\"36542464\"] \n  30 -> 33 [size =\"36542464\"]\n  30 -> 35 [size =\"36542464\"]\n  31 [size=\"47581184\", alpha=\"0.11\", expect_size=\"23790592\"] \n  31 -> 33 [size =\"23790592\"]\n  31 -> 35 [size =\"23790592\"]\n  32 [size=\"44056576\", alpha=\"0.12\", expect_size=\"22028288\"] \n  32 -> 33 [size =\"22028288\"]\n  32 -> 34 [size =\"22028288\"]\n  32 -> 35 [size =\"22028288\"]\n  33 [size=\"44314624\", alpha=\"0.17\", expect_size=\"22157312\"] \n  33 -> 36 [size =\"22157312\"]\n  33 -> 37 [size =\"22157312\"]\n  34 [size=\"33507328\", alpha=\"0.06\", expect_size=\"16753664\"] \n  34 -> 36 [size =\"16753664\"]\n  35 [size=\"83161088\", alpha=\"0.04\", expect_size=\"41580544\"] \n  35 -> 36 [size =\"41580544\"]\n  36 [size=\"24498176\", alpha=\"0.02\", expect_size=\"12249088\"] \n  36 -> 39 [size =\"12249088\"]\n  37 [size=\"11247616\", alpha=\"0.04\", expect_size=\"5623808\"] \n  37 -> 38 [size =\"5623808\"]\n  37 -> 39 [size =\"5623808\"]\n  38 [size=\"71524352\", alpha=\"0.08\", expect_size=\"35762176\"] \n  38 -> 40 [size =\"35762176\"]\n  38 -> 41 [size =\"35762176\"]\n  39 [size=\"23468032\", alpha=\"0.09\", expect_size=\"11734016\"] \n  39 -> 40 [size =\"11734016\"]\n  39 -> 42 [size =\"11734016\"]\n  40 [size=\"68319232\", alpha=\"0.11\", expect_size=\"34159616\"] \n  40 -> 43 [size =\"34159616\"]\n  40 -> 44 [size =\"34159616\"]\n  40 -> 45 [size =\"34159616\"]\n  41 [size=\"65957888\", alpha=\"0.17\", expect_size=\"32978944\"] \n  41 -> 43 [size =\"32978944\"]\n  41 -> 45 [size =\"32978944\"]\n  42 [size=\"23187456\", alpha=\"0.08\", expect_size=\"11593728\"] \n  42 -> 43 [size =\"11593728\"]\n  42 -> 44 [size =\"11593728\"]\n  42 -> 45 [size =\"11593728\"]\n  43 [size=\"81139712\", alpha=\"0.06\", expect_size=\"40569856\"] \n  44 [size=\"65212416\", alpha=\"0.02\", expect_size=\"32606208\"] \n  45 [size=\"92547072\", alpha=\"0.16\", expect_size=\"46273536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64307200\", alpha=\"0.17\", expect_size=\"32153600\"] \n  1 -> 8 [size =\"32153600\"]\n  1 -> 9 [size =\"32153600\"]\n  2 [size=\"102694912\", alpha=\"0.05\", expect_size=\"51347456\"] \n  2 -> 8 [size =\"51347456\"]\n  3 [size=\"49090560\", alpha=\"0.19\", expect_size=\"24545280\"] \n  3 -> 9 [size =\"24545280\"]\n  4 [size=\"79798272\", alpha=\"0.00\", expect_size=\"39899136\"] \n  4 -> 8 [size =\"39899136\"]\n  4 -> 9 [size =\"39899136\"]\n  5 [size=\"14739456\", alpha=\"0.19\", expect_size=\"7369728\"] \n  5 -> 7 [size =\"7369728\"]\n  5 -> 8 [size =\"7369728\"]\n  5 -> 9 [size =\"7369728\"]\n  5 -> 10 [size =\"7369728\"]\n  6 [size=\"13568000\", alpha=\"0.16\", expect_size=\"6784000\"] \n  6 -> 10 [size =\"6784000\"]\n  7 [size=\"45256704\", alpha=\"0.11\", expect_size=\"22628352\"] \n  7 -> 12 [size =\"22628352\"]\n  7 -> 13 [size =\"22628352\"]\n  8 [size=\"96966656\", alpha=\"0.13\", expect_size=\"48483328\"] \n  8 -> 11 [size =\"48483328\"]\n  8 -> 12 [size =\"48483328\"]\n  8 -> 13 [size =\"48483328\"]\n  9 [size=\"32643072\", alpha=\"0.03\", expect_size=\"16321536\"] \n  9 -> 11 [size =\"16321536\"]\n  9 -> 12 [size =\"16321536\"]\n  10 [size=\"71321600\", alpha=\"0.10\", expect_size=\"35660800\"] \n  10 -> 11 [size =\"35660800\"]\n  10 -> 13 [size =\"35660800\"]\n  11 [size=\"19980288\", alpha=\"0.16\", expect_size=\"9990144\"] \n  11 -> 15 [size =\"9990144\"]\n  12 [size=\"98070528\", alpha=\"0.09\", expect_size=\"49035264\"] \n  12 -> 15 [size =\"49035264\"]\n  12 -> 16 [size =\"49035264\"]\n  13 [size=\"25665536\", alpha=\"0.17\", expect_size=\"12832768\"] \n  13 -> 14 [size =\"12832768\"]\n  13 -> 16 [size =\"12832768\"]\n  13 -> 17 [size =\"12832768\"]\n  14 [size=\"20264960\", alpha=\"0.06\", expect_size=\"10132480\"] \n  14 -> 18 [size =\"10132480\"]\n  14 -> 19 [size =\"10132480\"]\n  14 -> 21 [size =\"10132480\"]\n  14 -> 22 [size =\"10132480\"]\n  15 [size=\"22374400\", alpha=\"0.17\", expect_size=\"11187200\"] \n  15 -> 20 [size =\"11187200\"]\n  15 -> 21 [size =\"11187200\"]\n  15 -> 22 [size =\"11187200\"]\n  15 -> 23 [size =\"11187200\"]\n  16 [size=\"15484928\", alpha=\"0.00\", expect_size=\"7742464\"] \n  16 -> 18 [size =\"7742464\"]\n  16 -> 19 [size =\"7742464\"]\n  16 -> 20 [size =\"7742464\"]\n  17 [size=\"89585664\", alpha=\"0.16\", expect_size=\"44792832\"] \n  17 -> 18 [size =\"44792832\"]\n  17 -> 19 [size =\"44792832\"]\n  17 -> 20 [size =\"44792832\"]\n  17 -> 23 [size =\"44792832\"]\n  18 [size=\"48011264\", alpha=\"0.17\", expect_size=\"24005632\"] \n  18 -> 24 [size =\"24005632\"]\n  18 -> 26 [size =\"24005632\"]\n  18 -> 28 [size =\"24005632\"]\n  19 [size=\"15736832\", alpha=\"0.09\", expect_size=\"7868416\"] \n  20 [size=\"28063744\", alpha=\"0.08\", expect_size=\"14031872\"] \n  20 -> 28 [size =\"14031872\"]\n  21 [size=\"76216320\", alpha=\"0.18\", expect_size=\"38108160\"] \n  21 -> 26 [size =\"38108160\"]\n  21 -> 28 [size =\"38108160\"]\n  22 [size=\"57481216\", alpha=\"0.07\", expect_size=\"28740608\"] \n  22 -> 25 [size =\"28740608\"]\n  22 -> 26 [size =\"28740608\"]\n  23 [size=\"98355200\", alpha=\"0.05\", expect_size=\"49177600\"] \n  23 -> 24 [size =\"49177600\"]\n  23 -> 27 [size =\"49177600\"]\n  23 -> 28 [size =\"49177600\"]\n  24 [size=\"85426176\", alpha=\"0.18\", expect_size=\"42713088\"] \n  24 -> 33 [size =\"42713088\"]\n  25 [size=\"18982912\", alpha=\"0.11\", expect_size=\"9491456\"] \n  26 [size=\"100005888\", alpha=\"0.05\", expect_size=\"50002944\"] \n  26 -> 31 [size =\"50002944\"]\n  26 -> 33 [size =\"50002944\"]\n  27 [size=\"100933632\", alpha=\"0.07\", expect_size=\"50466816\"] \n  27 -> 31 [size =\"50466816\"]\n  27 -> 32 [size =\"50466816\"]\n  28 [size=\"83793920\", alpha=\"0.07\", expect_size=\"41896960\"] \n  28 -> 29 [size =\"41896960\"]\n  28 -> 30 [size =\"41896960\"]\n  29 [size=\"71075840\", alpha=\"0.11\", expect_size=\"35537920\"] \n  29 -> 35 [size =\"35537920\"]\n  29 -> 37 [size =\"35537920\"]\n  29 -> 38 [size =\"35537920\"]\n  30 [size=\"18528256\", alpha=\"0.08\", expect_size=\"9264128\"] \n  30 -> 34 [size =\"9264128\"]\n  30 -> 36 [size =\"9264128\"]\n  30 -> 37 [size =\"9264128\"]\n  31 [size=\"54306816\", alpha=\"0.08\", expect_size=\"27153408\"] \n  32 [size=\"43491328\", alpha=\"0.06\", expect_size=\"21745664\"] \n  32 -> 34 [size =\"21745664\"]\n  32 -> 35 [size =\"21745664\"]\n  32 -> 37 [size =\"21745664\"]\n  33 [size=\"78295040\", alpha=\"0.07\", expect_size=\"39147520\"] \n  33 -> 34 [size =\"39147520\"]\n  33 -> 35 [size =\"39147520\"]\n  33 -> 37 [size =\"39147520\"]\n  34 [size=\"102946816\", alpha=\"0.10\", expect_size=\"51473408\"] \n  34 -> 39 [size =\"51473408\"]\n  34 -> 40 [size =\"51473408\"]\n  34 -> 41 [size =\"51473408\"]\n  34 -> 42 [size =\"51473408\"]\n  35 [size=\"92389376\", alpha=\"0.16\", expect_size=\"46194688\"] \n  35 -> 39 [size =\"46194688\"]\n  35 -> 41 [size =\"46194688\"]\n  35 -> 42 [size =\"46194688\"]\n  35 -> 43 [size =\"46194688\"]\n  36 [size=\"50876416\", alpha=\"0.03\", expect_size=\"25438208\"] \n  36 -> 42 [size =\"25438208\"]\n  36 -> 43 [size =\"25438208\"]\n  37 [size=\"75864064\", alpha=\"0.06\", expect_size=\"37932032\"] \n  37 -> 39 [size =\"37932032\"]\n  37 -> 40 [size =\"37932032\"]\n  37 -> 43 [size =\"37932032\"]\n  38 [size=\"13381632\", alpha=\"0.18\", expect_size=\"6690816\"] \n  38 -> 39 [size =\"6690816\"]\n  38 -> 40 [size =\"6690816\"]\n  39 [size=\"44277760\", alpha=\"0.11\", expect_size=\"22138880\"] \n  40 [size=\"96342016\", alpha=\"0.07\", expect_size=\"48171008\"] \n  40 -> 44 [size =\"48171008\"]\n  41 [size=\"41668608\", alpha=\"0.17\", expect_size=\"20834304\"] \n  42 [size=\"78495744\", alpha=\"0.17\", expect_size=\"39247872\"] \n  42 -> 45 [size =\"39247872\"]\n  43 [size=\"11292672\", alpha=\"0.16\", expect_size=\"5646336\"] \n  44 [size=\"43984896\", alpha=\"0.11\", expect_size=\"21992448\"] \n  45 [size=\"91979776\", alpha=\"0.08\", expect_size=\"45989888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77553664\", alpha=\"0.08\", expect_size=\"38776832\"] \n  1 -> 30 [size =\"38776832\"]\n  1 -> 31 [size =\"38776832\"]\n  1 -> 37 [size =\"38776832\"]\n  1 -> 39 [size =\"38776832\"]\n  1 -> 41 [size =\"38776832\"]\n  2 [size=\"50343936\", alpha=\"0.09\", expect_size=\"25171968\"] \n  2 -> 30 [size =\"25171968\"]\n  2 -> 31 [size =\"25171968\"]\n  2 -> 32 [size =\"25171968\"]\n  2 -> 35 [size =\"25171968\"]\n  2 -> 37 [size =\"25171968\"]\n  3 [size=\"10500096\", alpha=\"0.02\", expect_size=\"5250048\"] \n  3 -> 28 [size =\"5250048\"]\n  3 -> 30 [size =\"5250048\"]\n  3 -> 31 [size =\"5250048\"]\n  3 -> 34 [size =\"5250048\"]\n  3 -> 39 [size =\"5250048\"]\n  3 -> 45 [size =\"5250048\"]\n  4 [size=\"22398976\", alpha=\"0.12\", expect_size=\"11199488\"] \n  4 -> 27 [size =\"11199488\"]\n  4 -> 32 [size =\"11199488\"]\n  4 -> 33 [size =\"11199488\"]\n  5 [size=\"22564864\", alpha=\"0.16\", expect_size=\"11282432\"] \n  5 -> 28 [size =\"11282432\"]\n  5 -> 35 [size =\"11282432\"]\n  5 -> 37 [size =\"11282432\"]\n  6 [size=\"102387712\", alpha=\"0.01\", expect_size=\"51193856\"] \n  6 -> 27 [size =\"51193856\"]\n  6 -> 28 [size =\"51193856\"]\n  6 -> 31 [size =\"51193856\"]\n  6 -> 36 [size =\"51193856\"]\n  7 [size=\"66699264\", alpha=\"0.09\", expect_size=\"33349632\"] \n  7 -> 26 [size =\"33349632\"]\n  7 -> 27 [size =\"33349632\"]\n  7 -> 33 [size =\"33349632\"]\n  8 [size=\"41234432\", alpha=\"0.10\", expect_size=\"20617216\"] \n  8 -> 26 [size =\"20617216\"]\n  8 -> 29 [size =\"20617216\"]\n  8 -> 32 [size =\"20617216\"]\n  8 -> 37 [size =\"20617216\"]\n  8 -> 41 [size =\"20617216\"]\n  8 -> 44 [size =\"20617216\"]\n  8 -> 45 [size =\"20617216\"]\n  9 [size=\"66664448\", alpha=\"0.02\", expect_size=\"33332224\"] \n  9 -> 27 [size =\"33332224\"]\n  9 -> 30 [size =\"33332224\"]\n  9 -> 41 [size =\"33332224\"]\n  10 [size=\"101525504\", alpha=\"0.07\", expect_size=\"50762752\"] \n  10 -> 32 [size =\"50762752\"]\n  10 -> 44 [size =\"50762752\"]\n  11 [size=\"60870656\", alpha=\"0.06\", expect_size=\"30435328\"] \n  11 -> 27 [size =\"30435328\"]\n  11 -> 28 [size =\"30435328\"]\n  11 -> 34 [size =\"30435328\"]\n  11 -> 36 [size =\"30435328\"]\n  12 [size=\"99053568\", alpha=\"0.19\", expect_size=\"49526784\"] \n  12 -> 27 [size =\"49526784\"]\n  12 -> 29 [size =\"49526784\"]\n  12 -> 30 [size =\"49526784\"]\n  12 -> 37 [size =\"49526784\"]\n  12 -> 39 [size =\"49526784\"]\n  13 [size=\"47575040\", alpha=\"0.12\", expect_size=\"23787520\"] \n  13 -> 27 [size =\"23787520\"]\n  13 -> 28 [size =\"23787520\"]\n  13 -> 35 [size =\"23787520\"]\n  13 -> 42 [size =\"23787520\"]\n  14 [size=\"56715264\", alpha=\"0.14\", expect_size=\"28357632\"] \n  14 -> 27 [size =\"28357632\"]\n  14 -> 30 [size =\"28357632\"]\n  14 -> 32 [size =\"28357632\"]\n  14 -> 34 [size =\"28357632\"]\n  14 -> 37 [size =\"28357632\"]\n  15 [size=\"17991680\", alpha=\"0.08\", expect_size=\"8995840\"] \n  15 -> 26 [size =\"8995840\"]\n  15 -> 30 [size =\"8995840\"]\n  15 -> 33 [size =\"8995840\"]\n  15 -> 45 [size =\"8995840\"]\n  16 [size=\"91887616\", alpha=\"0.05\", expect_size=\"45943808\"] \n  16 -> 27 [size =\"45943808\"]\n  16 -> 29 [size =\"45943808\"]\n  16 -> 30 [size =\"45943808\"]\n  16 -> 31 [size =\"45943808\"]\n  16 -> 39 [size =\"45943808\"]\n  16 -> 40 [size =\"45943808\"]\n  16 -> 42 [size =\"45943808\"]\n  17 [size=\"98590720\", alpha=\"0.18\", expect_size=\"49295360\"] \n  17 -> 32 [size =\"49295360\"]\n  17 -> 36 [size =\"49295360\"]\n  17 -> 37 [size =\"49295360\"]\n  18 [size=\"48211968\", alpha=\"0.16\", expect_size=\"24105984\"] \n  18 -> 34 [size =\"24105984\"]\n  18 -> 36 [size =\"24105984\"]\n  18 -> 37 [size =\"24105984\"]\n  19 [size=\"96335872\", alpha=\"0.20\", expect_size=\"48167936\"] \n  19 -> 31 [size =\"48167936\"]\n  19 -> 36 [size =\"48167936\"]\n  19 -> 37 [size =\"48167936\"]\n  19 -> 39 [size =\"48167936\"]\n  19 -> 45 [size =\"48167936\"]\n  20 [size=\"103516160\", alpha=\"0.07\", expect_size=\"51758080\"] \n  20 -> 28 [size =\"51758080\"]\n  20 -> 29 [size =\"51758080\"]\n  20 -> 36 [size =\"51758080\"]\n  20 -> 39 [size =\"51758080\"]\n  21 [size=\"41748480\", alpha=\"0.07\", expect_size=\"20874240\"] \n  21 -> 28 [size =\"20874240\"]\n  21 -> 29 [size =\"20874240\"]\n  21 -> 34 [size =\"20874240\"]\n  21 -> 39 [size =\"20874240\"]\n  21 -> 45 [size =\"20874240\"]\n  22 [size=\"70995968\", alpha=\"0.16\", expect_size=\"35497984\"] \n  22 -> 28 [size =\"35497984\"]\n  22 -> 29 [size =\"35497984\"]\n  22 -> 30 [size =\"35497984\"]\n  22 -> 35 [size =\"35497984\"]\n  22 -> 36 [size =\"35497984\"]\n  22 -> 37 [size =\"35497984\"]\n  22 -> 39 [size =\"35497984\"]\n  22 -> 43 [size =\"35497984\"]\n  23 [size=\"66179072\", alpha=\"0.06\", expect_size=\"33089536\"] \n  23 -> 26 [size =\"33089536\"]\n  23 -> 27 [size =\"33089536\"]\n  23 -> 28 [size =\"33089536\"]\n  23 -> 29 [size =\"33089536\"]\n  23 -> 38 [size =\"33089536\"]\n  23 -> 39 [size =\"33089536\"]\n  23 -> 43 [size =\"33089536\"]\n  23 -> 45 [size =\"33089536\"]\n  24 [size=\"26822656\", alpha=\"0.17\", expect_size=\"13411328\"] \n  24 -> 28 [size =\"13411328\"]\n  24 -> 30 [size =\"13411328\"]\n  24 -> 31 [size =\"13411328\"]\n  24 -> 37 [size =\"13411328\"]\n  24 -> 39 [size =\"13411328\"]\n  24 -> 42 [size =\"13411328\"]\n  25 [size=\"95127552\", alpha=\"0.12\", expect_size=\"47563776\"] \n  25 -> 27 [size =\"47563776\"]\n  25 -> 28 [size =\"47563776\"]\n  25 -> 30 [size =\"47563776\"]\n  25 -> 31 [size =\"47563776\"]\n  25 -> 37 [size =\"47563776\"]\n  26 [size=\"37457920\", alpha=\"0.05\", expect_size=\"18728960\"] \n  27 [size=\"59549696\", alpha=\"0.11\", expect_size=\"29774848\"] \n  28 [size=\"48644096\", alpha=\"0.03\", expect_size=\"24322048\"] \n  29 [size=\"29233152\", alpha=\"0.07\", expect_size=\"14616576\"] \n  30 [size=\"29153280\", alpha=\"0.11\", expect_size=\"14576640\"] \n  31 [size=\"59836416\", alpha=\"0.05\", expect_size=\"29918208\"] \n  32 [size=\"93980672\", alpha=\"0.17\", expect_size=\"46990336\"] \n  33 [size=\"77072384\", alpha=\"0.18\", expect_size=\"38536192\"] \n  34 [size=\"103497728\", alpha=\"0.09\", expect_size=\"51748864\"] \n  35 [size=\"90800128\", alpha=\"0.01\", expect_size=\"45400064\"] \n  36 [size=\"51058688\", alpha=\"0.10\", expect_size=\"25529344\"] \n  37 [size=\"76177408\", alpha=\"0.18\", expect_size=\"38088704\"] \n  38 [size=\"33626112\", alpha=\"0.14\", expect_size=\"16813056\"] \n  39 [size=\"48525312\", alpha=\"0.08\", expect_size=\"24262656\"] \n  40 [size=\"82685952\", alpha=\"0.02\", expect_size=\"41342976\"] \n  41 [size=\"38404096\", alpha=\"0.03\", expect_size=\"19202048\"] \n  42 [size=\"60440576\", alpha=\"0.16\", expect_size=\"30220288\"] \n  43 [size=\"48617472\", alpha=\"0.01\", expect_size=\"24308736\"] \n  44 [size=\"40026112\", alpha=\"0.10\", expect_size=\"20013056\"] \n  45 [size=\"80898048\", alpha=\"0.16\", expect_size=\"40449024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154972160\", alpha=\"0.15\", expect_size=\"46491648\"] \n  1 -> 2 [size =\"46491648\"]\n  2 [size=\"75936427\", alpha=\"0.13\", expect_size=\"22780928\"] \n  2 -> 3 [size =\"22780928\"]\n  3 [size=\"112902827\", alpha=\"0.20\", expect_size=\"33870848\"] \n  3 -> 4 [size =\"33870848\"]\n  4 [size=\"122688853\", alpha=\"0.09\", expect_size=\"36806656\"] \n  4 -> 5 [size =\"36806656\"]\n  5 [size=\"45359787\", alpha=\"0.04\", expect_size=\"13607936\"] \n  5 -> 6 [size =\"13607936\"]\n  6 [size=\"58760533\", alpha=\"0.09\", expect_size=\"17628160\"] \n  6 -> 7 [size =\"17628160\"]\n  7 [size=\"55562240\", alpha=\"0.06\", expect_size=\"16668672\"] \n  7 -> 8 [size =\"16668672\"]\n  8 [size=\"173714773\", alpha=\"0.10\", expect_size=\"52114432\"] \n  8 -> 9 [size =\"52114432\"]\n  9 [size=\"62723413\", alpha=\"0.19\", expect_size=\"18817024\"] \n  9 -> 10 [size =\"18817024\"]\n  10 [size=\"48295253\", alpha=\"0.18\", expect_size=\"14488576\"] \n  10 -> 11 [size =\"14488576\"]\n  11 [size=\"142513493\", alpha=\"0.08\", expect_size=\"42754048\"] \n  11 -> 12 [size =\"42754048\"]\n  12 [size=\"101949440\", alpha=\"0.03\", expect_size=\"30584832\"] \n  12 -> 13 [size =\"30584832\"]\n  13 [size=\"44168533\", alpha=\"0.02\", expect_size=\"13250560\"] \n  13 -> 14 [size =\"13250560\"]\n  14 [size=\"44011520\", alpha=\"0.09\", expect_size=\"13203456\"] \n  14 -> 15 [size =\"13203456\"]\n  15 [size=\"116432213\", alpha=\"0.17\", expect_size=\"34929664\"] \n  15 -> 16 [size =\"34929664\"]\n  16 [size=\"149828267\", alpha=\"0.06\", expect_size=\"44948480\"] \n  16 -> 17 [size =\"44948480\"]\n  17 [size=\"62948693\", alpha=\"0.02\", expect_size=\"18884608\"] \n  17 -> 18 [size =\"18884608\"]\n  18 [size=\"107639467\", alpha=\"0.03\", expect_size=\"32291840\"] \n  18 -> 19 [size =\"32291840\"]\n  19 [size=\"25453227\", alpha=\"0.09\", expect_size=\"7635968\"] \n  19 -> 20 [size =\"7635968\"]\n  20 [size=\"20565333\", alpha=\"0.02\", expect_size=\"6169600\"] \n  20 -> 21 [size =\"6169600\"]\n  21 [size=\"161720320\", alpha=\"0.11\", expect_size=\"48516096\"] \n  21 -> 22 [size =\"48516096\"]\n  22 [size=\"67761493\", alpha=\"0.08\", expect_size=\"20328448\"] \n  22 -> 23 [size =\"20328448\"]\n  23 [size=\"88248320\", alpha=\"0.18\", expect_size=\"26474496\"] \n  23 -> 24 [size =\"26474496\"]\n  24 [size=\"104895147\", alpha=\"0.00\", expect_size=\"31468544\"] \n  24 -> 25 [size =\"31468544\"]\n  25 [size=\"173725013\", alpha=\"0.06\", expect_size=\"52117504\"] \n  25 -> 26 [size =\"52117504\"]\n  26 [size=\"150145707\", alpha=\"0.18\", expect_size=\"45043712\"] \n  26 -> 27 [size =\"45043712\"]\n  27 [size=\"40495787\", alpha=\"0.14\", expect_size=\"12148736\"] \n  27 -> 28 [size =\"12148736\"]\n  28 [size=\"57634133\", alpha=\"0.10\", expect_size=\"17290240\"] \n  28 -> 29 [size =\"17290240\"]\n  29 [size=\"77926400\", alpha=\"0.12\", expect_size=\"23377920\"] \n  29 -> 30 [size =\"23377920\"]\n  30 [size=\"151937707\", alpha=\"0.18\", expect_size=\"45581312\"] \n  30 -> 31 [size =\"45581312\"]\n  31 [size=\"164444160\", alpha=\"0.19\", expect_size=\"49333248\"] \n  31 -> 32 [size =\"49333248\"]\n  32 [size=\"95651840\", alpha=\"0.12\", expect_size=\"28695552\"] \n  32 -> 33 [size =\"28695552\"]\n  33 [size=\"161317547\", alpha=\"0.08\", expect_size=\"48395264\"] \n  33 -> 34 [size =\"48395264\"]\n  34 [size=\"142288213\", alpha=\"0.07\", expect_size=\"42686464\"] \n  34 -> 35 [size =\"42686464\"]\n  35 [size=\"143786667\", alpha=\"0.19\", expect_size=\"43136000\"] \n  35 -> 36 [size =\"43136000\"]\n  36 [size=\"36406613\", alpha=\"0.07\", expect_size=\"10921984\"] \n  36 -> 37 [size =\"10921984\"]\n  37 [size=\"18725547\", alpha=\"0.02\", expect_size=\"5617664\"] \n  37 -> 38 [size =\"5617664\"]\n  38 [size=\"128826027\", alpha=\"0.08\", expect_size=\"38647808\"] \n  38 -> 39 [size =\"38647808\"]\n  39 [size=\"51090773\", alpha=\"0.14\", expect_size=\"15327232\"] \n  39 -> 40 [size =\"15327232\"]\n  40 [size=\"145343147\", alpha=\"0.02\", expect_size=\"43602944\"] \n  40 -> 41 [size =\"43602944\"]\n  41 [size=\"127825920\", alpha=\"0.07\", expect_size=\"38347776\"] \n  41 -> 42 [size =\"38347776\"]\n  42 [size=\"123579733\", alpha=\"0.19\", expect_size=\"37073920\"] \n  42 -> 43 [size =\"37073920\"]\n  43 [size=\"59794773\", alpha=\"0.00\", expect_size=\"17938432\"] \n  43 -> 44 [size =\"17938432\"]\n  44 [size=\"120453120\", alpha=\"0.12\", expect_size=\"36135936\"] \n  44 -> 45 [size =\"36135936\"]\n  45 [size=\"17513813\", alpha=\"0.04\", expect_size=\"5254144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102289408\", alpha=\"0.15\", expect_size=\"51144704\"] \n  1 -> 8 [size =\"51144704\"]\n  1 -> 10 [size =\"51144704\"]\n  2 [size=\"80891904\", alpha=\"0.02\", expect_size=\"40445952\"] \n  2 -> 9 [size =\"40445952\"]\n  3 [size=\"58011648\", alpha=\"0.11\", expect_size=\"29005824\"] \n  3 -> 9 [size =\"29005824\"]\n  3 -> 10 [size =\"29005824\"]\n  4 [size=\"21628928\", alpha=\"0.08\", expect_size=\"10814464\"] \n  5 [size=\"45146112\", alpha=\"0.06\", expect_size=\"22573056\"] \n  5 -> 8 [size =\"22573056\"]\n  5 -> 10 [size =\"22573056\"]\n  6 [size=\"41457664\", alpha=\"0.19\", expect_size=\"20728832\"] \n  6 -> 7 [size =\"20728832\"]\n  6 -> 8 [size =\"20728832\"]\n  6 -> 10 [size =\"20728832\"]\n  7 [size=\"56410112\", alpha=\"0.14\", expect_size=\"28205056\"] \n  7 -> 11 [size =\"28205056\"]\n  7 -> 13 [size =\"28205056\"]\n  7 -> 14 [size =\"28205056\"]\n  7 -> 15 [size =\"28205056\"]\n  8 [size=\"85004288\", alpha=\"0.19\", expect_size=\"42502144\"] \n  8 -> 11 [size =\"42502144\"]\n  8 -> 12 [size =\"42502144\"]\n  8 -> 13 [size =\"42502144\"]\n  8 -> 14 [size =\"42502144\"]\n  8 -> 15 [size =\"42502144\"]\n  9 [size=\"30351360\", alpha=\"0.12\", expect_size=\"15175680\"] \n  9 -> 11 [size =\"15175680\"]\n  9 -> 13 [size =\"15175680\"]\n  9 -> 14 [size =\"15175680\"]\n  9 -> 15 [size =\"15175680\"]\n  9 -> 15 [size =\"15175680\"]\n  10 [size=\"59148288\", alpha=\"0.14\", expect_size=\"29574144\"] \n  10 -> 11 [size =\"29574144\"]\n  10 -> 13 [size =\"29574144\"]\n  10 -> 14 [size =\"29574144\"]\n  11 [size=\"80056320\", alpha=\"0.17\", expect_size=\"40028160\"] \n  11 -> 16 [size =\"40028160\"]\n  11 -> 17 [size =\"40028160\"]\n  11 -> 18 [size =\"40028160\"]\n  11 -> 19 [size =\"40028160\"]\n  12 [size=\"58652672\", alpha=\"0.13\", expect_size=\"29326336\"] \n  12 -> 16 [size =\"29326336\"]\n  12 -> 17 [size =\"29326336\"]\n  12 -> 19 [size =\"29326336\"]\n  13 [size=\"67497984\", alpha=\"0.03\", expect_size=\"33748992\"] \n  13 -> 16 [size =\"33748992\"]\n  13 -> 17 [size =\"33748992\"]\n  13 -> 18 [size =\"33748992\"]\n  13 -> 19 [size =\"33748992\"]\n  14 [size=\"23156736\", alpha=\"0.18\", expect_size=\"11578368\"] \n  14 -> 16 [size =\"11578368\"]\n  14 -> 17 [size =\"11578368\"]\n  14 -> 18 [size =\"11578368\"]\n  14 -> 19 [size =\"11578368\"]\n  14 -> 20 [size =\"11578368\"]\n  15 [size=\"59422720\", alpha=\"0.13\", expect_size=\"29711360\"] \n  15 -> 17 [size =\"29711360\"]\n  15 -> 18 [size =\"29711360\"]\n  15 -> 18 [size =\"29711360\"]\n  15 -> 19 [size =\"29711360\"]\n  15 -> 20 [size =\"29711360\"]\n  16 [size=\"88629248\", alpha=\"0.02\", expect_size=\"44314624\"] \n  16 -> 22 [size =\"44314624\"]\n  16 -> 24 [size =\"44314624\"]\n  16 -> 25 [size =\"44314624\"]\n  16 -> 26 [size =\"44314624\"]\n  17 [size=\"82352128\", alpha=\"0.11\", expect_size=\"41176064\"] \n  17 -> 22 [size =\"41176064\"]\n  17 -> 23 [size =\"41176064\"]\n  17 -> 24 [size =\"41176064\"]\n  17 -> 25 [size =\"41176064\"]\n  17 -> 26 [size =\"41176064\"]\n  18 [size=\"55851008\", alpha=\"0.14\", expect_size=\"27925504\"] \n  18 -> 22 [size =\"27925504\"]\n  18 -> 24 [size =\"27925504\"]\n  18 -> 26 [size =\"27925504\"]\n  19 [size=\"50257920\", alpha=\"0.02\", expect_size=\"25128960\"] \n  19 -> 21 [size =\"25128960\"]\n  19 -> 22 [size =\"25128960\"]\n  19 -> 24 [size =\"25128960\"]\n  19 -> 26 [size =\"25128960\"]\n  20 [size=\"10762240\", alpha=\"0.01\", expect_size=\"5381120\"] \n  20 -> 22 [size =\"5381120\"]\n  20 -> 24 [size =\"5381120\"]\n  20 -> 25 [size =\"5381120\"]\n  20 -> 26 [size =\"5381120\"]\n  21 [size=\"78360576\", alpha=\"0.00\", expect_size=\"39180288\"] \n  21 -> 29 [size =\"39180288\"]\n  22 [size=\"64323584\", alpha=\"0.14\", expect_size=\"32161792\"] \n  22 -> 30 [size =\"32161792\"]\n  23 [size=\"31141888\", alpha=\"0.18\", expect_size=\"15570944\"] \n  23 -> 28 [size =\"15570944\"]\n  23 -> 29 [size =\"15570944\"]\n  23 -> 30 [size =\"15570944\"]\n  24 [size=\"46092288\", alpha=\"0.05\", expect_size=\"23046144\"] \n  24 -> 27 [size =\"23046144\"]\n  24 -> 28 [size =\"23046144\"]\n  24 -> 30 [size =\"23046144\"]\n  25 [size=\"34537472\", alpha=\"0.18\", expect_size=\"17268736\"] \n  25 -> 28 [size =\"17268736\"]\n  25 -> 29 [size =\"17268736\"]\n  25 -> 30 [size =\"17268736\"]\n  26 [size=\"96448512\", alpha=\"0.19\", expect_size=\"48224256\"] \n  26 -> 30 [size =\"48224256\"]\n  26 -> 31 [size =\"48224256\"]\n  27 [size=\"104423424\", alpha=\"0.09\", expect_size=\"52211712\"] \n  27 -> 32 [size =\"52211712\"]\n  27 -> 34 [size =\"52211712\"]\n  27 -> 35 [size =\"52211712\"]\n  27 -> 36 [size =\"52211712\"]\n  28 [size=\"60284928\", alpha=\"0.14\", expect_size=\"30142464\"] \n  28 -> 33 [size =\"30142464\"]\n  28 -> 35 [size =\"30142464\"]\n  28 -> 36 [size =\"30142464\"]\n  28 -> 37 [size =\"30142464\"]\n  29 [size=\"30380032\", alpha=\"0.05\", expect_size=\"15190016\"] \n  29 -> 34 [size =\"15190016\"]\n  29 -> 35 [size =\"15190016\"]\n  29 -> 36 [size =\"15190016\"]\n  29 -> 37 [size =\"15190016\"]\n  30 [size=\"37834752\", alpha=\"0.05\", expect_size=\"18917376\"] \n  30 -> 32 [size =\"18917376\"]\n  30 -> 35 [size =\"18917376\"]\n  30 -> 37 [size =\"18917376\"]\n  31 [size=\"43319296\", alpha=\"0.20\", expect_size=\"21659648\"] \n  31 -> 34 [size =\"21659648\"]\n  31 -> 35 [size =\"21659648\"]\n  31 -> 36 [size =\"21659648\"]\n  31 -> 37 [size =\"21659648\"]\n  32 [size=\"44261376\", alpha=\"0.05\", expect_size=\"22130688\"] \n  32 -> 38 [size =\"22130688\"]\n  32 -> 39 [size =\"22130688\"]\n  33 [size=\"16699392\", alpha=\"0.03\", expect_size=\"8349696\"] \n  33 -> 38 [size =\"8349696\"]\n  33 -> 39 [size =\"8349696\"]\n  33 -> 40 [size =\"8349696\"]\n  34 [size=\"102531072\", alpha=\"0.03\", expect_size=\"51265536\"] \n  34 -> 38 [size =\"51265536\"]\n  34 -> 40 [size =\"51265536\"]\n  34 -> 40 [size =\"51265536\"]\n  35 [size=\"29784064\", alpha=\"0.13\", expect_size=\"14892032\"] \n  35 -> 38 [size =\"14892032\"]\n  35 -> 40 [size =\"14892032\"]\n  35 -> 41 [size =\"14892032\"]\n  36 [size=\"21862400\", alpha=\"0.00\", expect_size=\"10931200\"] \n  36 -> 38 [size =\"10931200\"]\n  36 -> 39 [size =\"10931200\"]\n  36 -> 40 [size =\"10931200\"]\n  37 [size=\"15368192\", alpha=\"0.02\", expect_size=\"7684096\"] \n  38 [size=\"56227840\", alpha=\"0.14\", expect_size=\"28113920\"] \n  38 -> 42 [size =\"28113920\"]\n  38 -> 43 [size =\"28113920\"]\n  39 [size=\"30214144\", alpha=\"0.15\", expect_size=\"15107072\"] \n  39 -> 42 [size =\"15107072\"]\n  39 -> 44 [size =\"15107072\"]\n  39 -> 45 [size =\"15107072\"]\n  40 [size=\"51568640\", alpha=\"0.15\", expect_size=\"25784320\"] \n  40 -> 42 [size =\"25784320\"]\n  40 -> 43 [size =\"25784320\"]\n  41 [size=\"74582016\", alpha=\"0.10\", expect_size=\"37291008\"] \n  41 -> 42 [size =\"37291008\"]\n  41 -> 43 [size =\"37291008\"]\n  42 [size=\"74455040\", alpha=\"0.16\", expect_size=\"37227520\"] \n  43 [size=\"99350528\", alpha=\"0.06\", expect_size=\"49675264\"] \n  44 [size=\"17543168\", alpha=\"0.04\", expect_size=\"8771584\"] \n  45 [size=\"30445568\", alpha=\"0.07\", expect_size=\"15222784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59906048\", alpha=\"0.00\", expect_size=\"29953024\"] \n  1 -> 29 [size =\"29953024\"]\n  1 -> 31 [size =\"29953024\"]\n  1 -> 32 [size =\"29953024\"]\n  1 -> 38 [size =\"29953024\"]\n  1 -> 41 [size =\"29953024\"]\n  1 -> 43 [size =\"29953024\"]\n  2 [size=\"80699392\", alpha=\"0.14\", expect_size=\"40349696\"] \n  2 -> 29 [size =\"40349696\"]\n  2 -> 30 [size =\"40349696\"]\n  2 -> 31 [size =\"40349696\"]\n  2 -> 32 [size =\"40349696\"]\n  2 -> 34 [size =\"40349696\"]\n  2 -> 38 [size =\"40349696\"]\n  2 -> 43 [size =\"40349696\"]\n  2 -> 45 [size =\"40349696\"]\n  3 [size=\"88758272\", alpha=\"0.13\", expect_size=\"44379136\"] \n  3 -> 32 [size =\"44379136\"]\n  3 -> 34 [size =\"44379136\"]\n  3 -> 35 [size =\"44379136\"]\n  3 -> 38 [size =\"44379136\"]\n  3 -> 39 [size =\"44379136\"]\n  3 -> 43 [size =\"44379136\"]\n  3 -> 43 [size =\"44379136\"]\n  3 -> 44 [size =\"44379136\"]\n  3 -> 45 [size =\"44379136\"]\n  4 [size=\"66494464\", alpha=\"0.18\", expect_size=\"33247232\"] \n  4 -> 29 [size =\"33247232\"]\n  4 -> 32 [size =\"33247232\"]\n  4 -> 34 [size =\"33247232\"]\n  4 -> 35 [size =\"33247232\"]\n  4 -> 36 [size =\"33247232\"]\n  4 -> 38 [size =\"33247232\"]\n  4 -> 39 [size =\"33247232\"]\n  4 -> 40 [size =\"33247232\"]\n  4 -> 43 [size =\"33247232\"]\n  4 -> 45 [size =\"33247232\"]\n  5 [size=\"17377280\", alpha=\"0.07\", expect_size=\"8688640\"] \n  5 -> 29 [size =\"8688640\"]\n  5 -> 32 [size =\"8688640\"]\n  5 -> 34 [size =\"8688640\"]\n  5 -> 36 [size =\"8688640\"]\n  5 -> 38 [size =\"8688640\"]\n  5 -> 38 [size =\"8688640\"]\n  5 -> 40 [size =\"8688640\"]\n  5 -> 40 [size =\"8688640\"]\n  5 -> 43 [size =\"8688640\"]\n  5 -> 45 [size =\"8688640\"]\n  6 [size=\"15609856\", alpha=\"0.01\", expect_size=\"7804928\"] \n  6 -> 29 [size =\"7804928\"]\n  6 -> 31 [size =\"7804928\"]\n  6 -> 32 [size =\"7804928\"]\n  6 -> 34 [size =\"7804928\"]\n  6 -> 38 [size =\"7804928\"]\n  6 -> 39 [size =\"7804928\"]\n  6 -> 44 [size =\"7804928\"]\n  6 -> 45 [size =\"7804928\"]\n  7 [size=\"12761088\", alpha=\"0.04\", expect_size=\"6380544\"] \n  7 -> 29 [size =\"6380544\"]\n  7 -> 31 [size =\"6380544\"]\n  7 -> 32 [size =\"6380544\"]\n  7 -> 34 [size =\"6380544\"]\n  7 -> 38 [size =\"6380544\"]\n  7 -> 40 [size =\"6380544\"]\n  7 -> 41 [size =\"6380544\"]\n  7 -> 42 [size =\"6380544\"]\n  7 -> 43 [size =\"6380544\"]\n  7 -> 45 [size =\"6380544\"]\n  8 [size=\"14841856\", alpha=\"0.08\", expect_size=\"7420928\"] \n  8 -> 32 [size =\"7420928\"]\n  8 -> 38 [size =\"7420928\"]\n  8 -> 42 [size =\"7420928\"]\n  8 -> 43 [size =\"7420928\"]\n  9 [size=\"90388480\", alpha=\"0.12\", expect_size=\"45194240\"] \n  9 -> 31 [size =\"45194240\"]\n  9 -> 32 [size =\"45194240\"]\n  9 -> 34 [size =\"45194240\"]\n  9 -> 36 [size =\"45194240\"]\n  9 -> 41 [size =\"45194240\"]\n  9 -> 42 [size =\"45194240\"]\n  9 -> 43 [size =\"45194240\"]\n  10 [size=\"89718784\", alpha=\"0.01\", expect_size=\"44859392\"] \n  10 -> 29 [size =\"44859392\"]\n  10 -> 31 [size =\"44859392\"]\n  10 -> 32 [size =\"44859392\"]\n  10 -> 34 [size =\"44859392\"]\n  10 -> 35 [size =\"44859392\"]\n  10 -> 38 [size =\"44859392\"]\n  10 -> 40 [size =\"44859392\"]\n  10 -> 41 [size =\"44859392\"]\n  10 -> 43 [size =\"44859392\"]\n  10 -> 44 [size =\"44859392\"]\n  11 [size=\"94107648\", alpha=\"0.08\", expect_size=\"47053824\"] \n  11 -> 29 [size =\"47053824\"]\n  11 -> 30 [size =\"47053824\"]\n  11 -> 32 [size =\"47053824\"]\n  11 -> 35 [size =\"47053824\"]\n  11 -> 39 [size =\"47053824\"]\n  11 -> 40 [size =\"47053824\"]\n  11 -> 43 [size =\"47053824\"]\n  11 -> 44 [size =\"47053824\"]\n  12 [size=\"94801920\", alpha=\"0.14\", expect_size=\"47400960\"] \n  12 -> 29 [size =\"47400960\"]\n  12 -> 30 [size =\"47400960\"]\n  12 -> 31 [size =\"47400960\"]\n  12 -> 32 [size =\"47400960\"]\n  12 -> 34 [size =\"47400960\"]\n  12 -> 38 [size =\"47400960\"]\n  12 -> 41 [size =\"47400960\"]\n  12 -> 43 [size =\"47400960\"]\n  12 -> 45 [size =\"47400960\"]\n  13 [size=\"68655104\", alpha=\"0.17\", expect_size=\"34327552\"] \n  13 -> 29 [size =\"34327552\"]\n  13 -> 32 [size =\"34327552\"]\n  13 -> 33 [size =\"34327552\"]\n  13 -> 34 [size =\"34327552\"]\n  13 -> 34 [size =\"34327552\"]\n  13 -> 36 [size =\"34327552\"]\n  13 -> 39 [size =\"34327552\"]\n  13 -> 43 [size =\"34327552\"]\n  14 [size=\"35768320\", alpha=\"0.18\", expect_size=\"17884160\"] \n  14 -> 29 [size =\"17884160\"]\n  14 -> 31 [size =\"17884160\"]\n  14 -> 32 [size =\"17884160\"]\n  14 -> 34 [size =\"17884160\"]\n  14 -> 35 [size =\"17884160\"]\n  14 -> 36 [size =\"17884160\"]\n  14 -> 43 [size =\"17884160\"]\n  14 -> 43 [size =\"17884160\"]\n  14 -> 44 [size =\"17884160\"]\n  14 -> 45 [size =\"17884160\"]\n  15 [size=\"26109952\", alpha=\"0.06\", expect_size=\"13054976\"] \n  15 -> 29 [size =\"13054976\"]\n  15 -> 31 [size =\"13054976\"]\n  15 -> 32 [size =\"13054976\"]\n  15 -> 34 [size =\"13054976\"]\n  15 -> 35 [size =\"13054976\"]\n  15 -> 42 [size =\"13054976\"]\n  15 -> 43 [size =\"13054976\"]\n  15 -> 44 [size =\"13054976\"]\n  16 [size=\"60968960\", alpha=\"0.16\", expect_size=\"30484480\"] \n  16 -> 29 [size =\"30484480\"]\n  16 -> 30 [size =\"30484480\"]\n  16 -> 32 [size =\"30484480\"]\n  16 -> 34 [size =\"30484480\"]\n  16 -> 35 [size =\"30484480\"]\n  16 -> 36 [size =\"30484480\"]\n  16 -> 38 [size =\"30484480\"]\n  16 -> 42 [size =\"30484480\"]\n  16 -> 43 [size =\"30484480\"]\n  16 -> 44 [size =\"30484480\"]\n  17 [size=\"64550912\", alpha=\"0.16\", expect_size=\"32275456\"] \n  17 -> 29 [size =\"32275456\"]\n  17 -> 30 [size =\"32275456\"]\n  17 -> 31 [size =\"32275456\"]\n  17 -> 32 [size =\"32275456\"]\n  17 -> 35 [size =\"32275456\"]\n  17 -> 36 [size =\"32275456\"]\n  17 -> 44 [size =\"32275456\"]\n  18 [size=\"81340416\", alpha=\"0.11\", expect_size=\"40670208\"] \n  18 -> 29 [size =\"40670208\"]\n  18 -> 31 [size =\"40670208\"]\n  18 -> 32 [size =\"40670208\"]\n  18 -> 32 [size =\"40670208\"]\n  18 -> 35 [size =\"40670208\"]\n  18 -> 36 [size =\"40670208\"]\n  18 -> 38 [size =\"40670208\"]\n  18 -> 44 [size =\"40670208\"]\n  19 [size=\"22759424\", alpha=\"0.18\", expect_size=\"11379712\"] \n  19 -> 31 [size =\"11379712\"]\n  19 -> 32 [size =\"11379712\"]\n  19 -> 32 [size =\"11379712\"]\n  19 -> 35 [size =\"11379712\"]\n  19 -> 35 [size =\"11379712\"]\n  19 -> 38 [size =\"11379712\"]\n  19 -> 43 [size =\"11379712\"]\n  19 -> 44 [size =\"11379712\"]\n  20 [size=\"81545216\", alpha=\"0.19\", expect_size=\"40772608\"] \n  20 -> 32 [size =\"40772608\"]\n  20 -> 34 [size =\"40772608\"]\n  20 -> 40 [size =\"40772608\"]\n  20 -> 41 [size =\"40772608\"]\n  20 -> 43 [size =\"40772608\"]\n  20 -> 44 [size =\"40772608\"]\n  21 [size=\"85338112\", alpha=\"0.09\", expect_size=\"42669056\"] \n  21 -> 33 [size =\"42669056\"]\n  21 -> 35 [size =\"42669056\"]\n  21 -> 38 [size =\"42669056\"]\n  21 -> 41 [size =\"42669056\"]\n  21 -> 43 [size =\"42669056\"]\n  21 -> 44 [size =\"42669056\"]\n  22 [size=\"30812160\", alpha=\"0.15\", expect_size=\"15406080\"] \n  22 -> 29 [size =\"15406080\"]\n  22 -> 31 [size =\"15406080\"]\n  22 -> 32 [size =\"15406080\"]\n  22 -> 35 [size =\"15406080\"]\n  22 -> 40 [size =\"15406080\"]\n  22 -> 44 [size =\"15406080\"]\n  22 -> 45 [size =\"15406080\"]\n  23 [size=\"99100672\", alpha=\"0.17\", expect_size=\"49550336\"] \n  23 -> 29 [size =\"49550336\"]\n  23 -> 31 [size =\"49550336\"]\n  23 -> 33 [size =\"49550336\"]\n  23 -> 37 [size =\"49550336\"]\n  23 -> 41 [size =\"49550336\"]\n  23 -> 43 [size =\"49550336\"]\n  24 [size=\"85987328\", alpha=\"0.11\", expect_size=\"42993664\"] \n  24 -> 31 [size =\"42993664\"]\n  24 -> 35 [size =\"42993664\"]\n  24 -> 41 [size =\"42993664\"]\n  25 [size=\"76937216\", alpha=\"0.06\", expect_size=\"38468608\"] \n  25 -> 31 [size =\"38468608\"]\n  25 -> 34 [size =\"38468608\"]\n  25 -> 35 [size =\"38468608\"]\n  25 -> 37 [size =\"38468608\"]\n  25 -> 38 [size =\"38468608\"]\n  25 -> 41 [size =\"38468608\"]\n  25 -> 43 [size =\"38468608\"]\n  25 -> 44 [size =\"38468608\"]\n  26 [size=\"12787712\", alpha=\"0.03\", expect_size=\"6393856\"] \n  26 -> 29 [size =\"6393856\"]\n  26 -> 31 [size =\"6393856\"]\n  26 -> 34 [size =\"6393856\"]\n  26 -> 35 [size =\"6393856\"]\n  26 -> 38 [size =\"6393856\"]\n  26 -> 41 [size =\"6393856\"]\n  26 -> 43 [size =\"6393856\"]\n  26 -> 44 [size =\"6393856\"]\n  27 [size=\"89876480\", alpha=\"0.20\", expect_size=\"44938240\"] \n  27 -> 29 [size =\"44938240\"]\n  27 -> 30 [size =\"44938240\"]\n  27 -> 31 [size =\"44938240\"]\n  27 -> 38 [size =\"44938240\"]\n  27 -> 38 [size =\"44938240\"]\n  27 -> 39 [size =\"44938240\"]\n  27 -> 40 [size =\"44938240\"]\n  27 -> 43 [size =\"44938240\"]\n  27 -> 44 [size =\"44938240\"]\n  27 -> 45 [size =\"44938240\"]\n  28 [size=\"69425152\", alpha=\"0.18\", expect_size=\"34712576\"] \n  28 -> 29 [size =\"34712576\"]\n  28 -> 31 [size =\"34712576\"]\n  28 -> 31 [size =\"34712576\"]\n  28 -> 32 [size =\"34712576\"]\n  28 -> 34 [size =\"34712576\"]\n  28 -> 38 [size =\"34712576\"]\n  28 -> 40 [size =\"34712576\"]\n  28 -> 43 [size =\"34712576\"]\n  28 -> 45 [size =\"34712576\"]\n  29 [size=\"27881472\", alpha=\"0.12\", expect_size=\"13940736\"] \n  30 [size=\"20774912\", alpha=\"0.04\", expect_size=\"10387456\"] \n  31 [size=\"14311424\", alpha=\"0.13\", expect_size=\"7155712\"] \n  32 [size=\"57911296\", alpha=\"0.01\", expect_size=\"28955648\"] \n  33 [size=\"33048576\", alpha=\"0.00\", expect_size=\"16524288\"] \n  34 [size=\"17993728\", alpha=\"0.05\", expect_size=\"8996864\"] \n  35 [size=\"68759552\", alpha=\"0.13\", expect_size=\"34379776\"] \n  36 [size=\"97867776\", alpha=\"0.12\", expect_size=\"48933888\"] \n  37 [size=\"16068608\", alpha=\"0.03\", expect_size=\"8034304\"] \n  38 [size=\"14383104\", alpha=\"0.08\", expect_size=\"7191552\"] \n  39 [size=\"97167360\", alpha=\"0.16\", expect_size=\"48583680\"] \n  40 [size=\"61208576\", alpha=\"0.19\", expect_size=\"30604288\"] \n  41 [size=\"80113664\", alpha=\"0.18\", expect_size=\"40056832\"] \n  42 [size=\"48760832\", alpha=\"0.01\", expect_size=\"24380416\"] \n  43 [size=\"51466240\", alpha=\"0.03\", expect_size=\"25733120\"] \n  44 [size=\"52027392\", alpha=\"0.01\", expect_size=\"26013696\"] \n  45 [size=\"75730944\", alpha=\"0.13\", expect_size=\"37865472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87056384\", alpha=\"0.18\", expect_size=\"43528192\"] \n  1 -> 8 [size =\"43528192\"]\n  2 [size=\"90806272\", alpha=\"0.11\", expect_size=\"45403136\"] \n  2 -> 10 [size =\"45403136\"]\n  2 -> 11 [size =\"45403136\"]\n  2 -> 12 [size =\"45403136\"]\n  3 [size=\"89935872\", alpha=\"0.02\", expect_size=\"44967936\"] \n  3 -> 9 [size =\"44967936\"]\n  3 -> 10 [size =\"44967936\"]\n  4 [size=\"47362048\", alpha=\"0.13\", expect_size=\"23681024\"] \n  4 -> 10 [size =\"23681024\"]\n  4 -> 13 [size =\"23681024\"]\n  5 [size=\"65599488\", alpha=\"0.06\", expect_size=\"32799744\"] \n  5 -> 7 [size =\"32799744\"]\n  5 -> 8 [size =\"32799744\"]\n  5 -> 13 [size =\"32799744\"]\n  6 [size=\"33736704\", alpha=\"0.15\", expect_size=\"16868352\"] \n  6 -> 12 [size =\"16868352\"]\n  7 [size=\"35813376\", alpha=\"0.20\", expect_size=\"17906688\"] \n  7 -> 14 [size =\"17906688\"]\n  7 -> 16 [size =\"17906688\"]\n  7 -> 17 [size =\"17906688\"]\n  8 [size=\"34396160\", alpha=\"0.17\", expect_size=\"17198080\"] \n  8 -> 14 [size =\"17198080\"]\n  9 [size=\"46778368\", alpha=\"0.05\", expect_size=\"23389184\"] \n  9 -> 14 [size =\"23389184\"]\n  9 -> 15 [size =\"23389184\"]\n  10 [size=\"64540672\", alpha=\"0.11\", expect_size=\"32270336\"] \n  10 -> 14 [size =\"32270336\"]\n  10 -> 16 [size =\"32270336\"]\n  11 [size=\"12005376\", alpha=\"0.04\", expect_size=\"6002688\"] \n  11 -> 15 [size =\"6002688\"]\n  11 -> 16 [size =\"6002688\"]\n  11 -> 17 [size =\"6002688\"]\n  12 [size=\"98887680\", alpha=\"0.14\", expect_size=\"49443840\"] \n  12 -> 17 [size =\"49443840\"]\n  13 [size=\"57372672\", alpha=\"0.19\", expect_size=\"28686336\"] \n  13 -> 15 [size =\"28686336\"]\n  14 [size=\"65611776\", alpha=\"0.07\", expect_size=\"32805888\"] \n  15 [size=\"34846720\", alpha=\"0.08\", expect_size=\"17423360\"] \n  15 -> 19 [size =\"17423360\"]\n  15 -> 20 [size =\"17423360\"]\n  15 -> 21 [size =\"17423360\"]\n  16 [size=\"62633984\", alpha=\"0.05\", expect_size=\"31316992\"] \n  16 -> 18 [size =\"31316992\"]\n  16 -> 19 [size =\"31316992\"]\n  16 -> 20 [size =\"31316992\"]\n  17 [size=\"41242624\", alpha=\"0.12\", expect_size=\"20621312\"] \n  18 [size=\"38948864\", alpha=\"0.11\", expect_size=\"19474432\"] \n  18 -> 25 [size =\"19474432\"]\n  18 -> 26 [size =\"19474432\"]\n  19 [size=\"24786944\", alpha=\"0.10\", expect_size=\"12393472\"] \n  19 -> 23 [size =\"12393472\"]\n  20 [size=\"46241792\", alpha=\"0.01\", expect_size=\"23120896\"] \n  20 -> 24 [size =\"23120896\"]\n  21 [size=\"97472512\", alpha=\"0.07\", expect_size=\"48736256\"] \n  21 -> 22 [size =\"48736256\"]\n  21 -> 24 [size =\"48736256\"]\n  22 [size=\"23525376\", alpha=\"0.10\", expect_size=\"11762688\"] \n  22 -> 28 [size =\"11762688\"]\n  22 -> 30 [size =\"11762688\"]\n  23 [size=\"91617280\", alpha=\"0.11\", expect_size=\"45808640\"] \n  24 [size=\"87750656\", alpha=\"0.19\", expect_size=\"43875328\"] \n  24 -> 29 [size =\"43875328\"]\n  25 [size=\"24219648\", alpha=\"0.19\", expect_size=\"12109824\"] \n  26 [size=\"63668224\", alpha=\"0.03\", expect_size=\"31834112\"] \n  26 -> 27 [size =\"31834112\"]\n  26 -> 28 [size =\"31834112\"]\n  26 -> 29 [size =\"31834112\"]\n  26 -> 30 [size =\"31834112\"]\n  27 [size=\"88711168\", alpha=\"0.13\", expect_size=\"44355584\"] \n  27 -> 32 [size =\"44355584\"]\n  27 -> 34 [size =\"44355584\"]\n  27 -> 35 [size =\"44355584\"]\n  28 [size=\"49557504\", alpha=\"0.08\", expect_size=\"24778752\"] \n  28 -> 31 [size =\"24778752\"]\n  28 -> 35 [size =\"24778752\"]\n  28 -> 36 [size =\"24778752\"]\n  29 [size=\"100659200\", alpha=\"0.11\", expect_size=\"50329600\"] \n  29 -> 33 [size =\"50329600\"]\n  29 -> 34 [size =\"50329600\"]\n  30 [size=\"55678976\", alpha=\"0.06\", expect_size=\"27839488\"] \n  30 -> 32 [size =\"27839488\"]\n  30 -> 36 [size =\"27839488\"]\n  31 [size=\"58744832\", alpha=\"0.00\", expect_size=\"29372416\"] \n  31 -> 37 [size =\"29372416\"]\n  31 -> 39 [size =\"29372416\"]\n  32 [size=\"92055552\", alpha=\"0.14\", expect_size=\"46027776\"] \n  32 -> 37 [size =\"46027776\"]\n  32 -> 38 [size =\"46027776\"]\n  32 -> 40 [size =\"46027776\"]\n  33 [size=\"47192064\", alpha=\"0.17\", expect_size=\"23596032\"] \n  34 [size=\"97974272\", alpha=\"0.12\", expect_size=\"48987136\"] \n  34 -> 41 [size =\"48987136\"]\n  35 [size=\"92534784\", alpha=\"0.12\", expect_size=\"46267392\"] \n  35 -> 39 [size =\"46267392\"]\n  36 [size=\"85989376\", alpha=\"0.03\", expect_size=\"42994688\"] \n  36 -> 39 [size =\"42994688\"]\n  36 -> 41 [size =\"42994688\"]\n  37 [size=\"101591040\", alpha=\"0.01\", expect_size=\"50795520\"] \n  38 [size=\"70297600\", alpha=\"0.04\", expect_size=\"35148800\"] \n  38 -> 43 [size =\"35148800\"]\n  38 -> 44 [size =\"35148800\"]\n  39 [size=\"16019456\", alpha=\"0.11\", expect_size=\"8009728\"] \n  39 -> 45 [size =\"8009728\"]\n  40 [size=\"69423104\", alpha=\"0.06\", expect_size=\"34711552\"] \n  40 -> 45 [size =\"34711552\"]\n  41 [size=\"95819776\", alpha=\"0.18\", expect_size=\"47909888\"] \n  41 -> 42 [size =\"47909888\"]\n  42 [size=\"96731136\", alpha=\"0.14\", expect_size=\"48365568\"] \n  43 [size=\"66185216\", alpha=\"0.07\", expect_size=\"33092608\"] \n  44 [size=\"51075072\", alpha=\"0.16\", expect_size=\"25537536\"] \n  45 [size=\"12150784\", alpha=\"0.08\", expect_size=\"6075392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28684800\", alpha=\"0.16\", expect_size=\"11473920\"] \n  1 -> 2 [size =\"11473920\"]\n  2 [size=\"99916800\", alpha=\"0.19\", expect_size=\"39966720\"] \n  2 -> 3 [size =\"39966720\"]\n  3 [size=\"17861120\", alpha=\"0.09\", expect_size=\"7144448\"] \n  3 -> 4 [size =\"7144448\"]\n  4 [size=\"20172800\", alpha=\"0.15\", expect_size=\"8069120\"] \n  4 -> 5 [size =\"8069120\"]\n  5 [size=\"99499520\", alpha=\"0.04\", expect_size=\"39799808\"] \n  5 -> 6 [size =\"39799808\"]\n  6 [size=\"108815360\", alpha=\"0.01\", expect_size=\"43526144\"] \n  6 -> 7 [size =\"43526144\"]\n  7 [size=\"23249920\", alpha=\"0.11\", expect_size=\"9299968\"] \n  7 -> 8 [size =\"9299968\"]\n  8 [size=\"83939840\", alpha=\"0.15\", expect_size=\"33575936\"] \n  8 -> 9 [size =\"33575936\"]\n  9 [size=\"73710080\", alpha=\"0.10\", expect_size=\"29484032\"] \n  9 -> 10 [size =\"29484032\"]\n  10 [size=\"26257920\", alpha=\"0.17\", expect_size=\"10503168\"] \n  10 -> 11 [size =\"10503168\"]\n  11 [size=\"108459520\", alpha=\"0.19\", expect_size=\"43383808\"] \n  11 -> 12 [size =\"43383808\"]\n  12 [size=\"83233280\", alpha=\"0.16\", expect_size=\"33293312\"] \n  12 -> 13 [size =\"33293312\"]\n  13 [size=\"78993920\", alpha=\"0.07\", expect_size=\"31597568\"] \n  13 -> 14 [size =\"31597568\"]\n  14 [size=\"13498880\", alpha=\"0.12\", expect_size=\"5399552\"] \n  14 -> 15 [size =\"5399552\"]\n  15 [size=\"99806720\", alpha=\"0.09\", expect_size=\"39922688\"] \n  15 -> 16 [size =\"39922688\"]\n  16 [size=\"125004800\", alpha=\"0.06\", expect_size=\"50001920\"] \n  16 -> 17 [size =\"50001920\"]\n  17 [size=\"130268160\", alpha=\"0.06\", expect_size=\"52107264\"] \n  17 -> 18 [size =\"52107264\"]\n  18 [size=\"75532800\", alpha=\"0.13\", expect_size=\"30213120\"] \n  18 -> 19 [size =\"30213120\"]\n  19 [size=\"48455680\", alpha=\"0.07\", expect_size=\"19382272\"] \n  19 -> 20 [size =\"19382272\"]\n  20 [size=\"104855040\", alpha=\"0.03\", expect_size=\"41942016\"] \n  20 -> 21 [size =\"41942016\"]\n  21 [size=\"84874240\", alpha=\"0.02\", expect_size=\"33949696\"] \n  21 -> 22 [size =\"33949696\"]\n  22 [size=\"77048320\", alpha=\"0.15\", expect_size=\"30819328\"] \n  22 -> 23 [size =\"30819328\"]\n  23 [size=\"53611520\", alpha=\"0.09\", expect_size=\"21444608\"] \n  23 -> 24 [size =\"21444608\"]\n  24 [size=\"94492160\", alpha=\"0.04\", expect_size=\"37796864\"] \n  24 -> 25 [size =\"37796864\"]\n  25 [size=\"44897280\", alpha=\"0.14\", expect_size=\"17958912\"] \n  25 -> 26 [size =\"17958912\"]\n  26 [size=\"98078720\", alpha=\"0.01\", expect_size=\"39231488\"] \n  26 -> 27 [size =\"39231488\"]\n  27 [size=\"13404160\", alpha=\"0.09\", expect_size=\"5361664\"] \n  27 -> 28 [size =\"5361664\"]\n  28 [size=\"49415680\", alpha=\"0.09\", expect_size=\"19766272\"] \n  28 -> 29 [size =\"19766272\"]\n  29 [size=\"125373440\", alpha=\"0.19\", expect_size=\"50149376\"] \n  29 -> 30 [size =\"50149376\"]\n  30 [size=\"48145920\", alpha=\"0.11\", expect_size=\"19258368\"] \n  30 -> 31 [size =\"19258368\"]\n  31 [size=\"65323520\", alpha=\"0.00\", expect_size=\"26129408\"] \n  31 -> 32 [size =\"26129408\"]\n  32 [size=\"74519040\", alpha=\"0.01\", expect_size=\"29807616\"] \n  32 -> 33 [size =\"29807616\"]\n  33 [size=\"44577280\", alpha=\"0.12\", expect_size=\"17830912\"] \n  33 -> 34 [size =\"17830912\"]\n  34 [size=\"98219520\", alpha=\"0.04\", expect_size=\"39287808\"] \n  34 -> 35 [size =\"39287808\"]\n  35 [size=\"124546560\", alpha=\"0.11\", expect_size=\"49818624\"] \n  35 -> 36 [size =\"49818624\"]\n  36 [size=\"91988480\", alpha=\"0.16\", expect_size=\"36795392\"] \n  36 -> 37 [size =\"36795392\"]\n  37 [size=\"96253440\", alpha=\"0.01\", expect_size=\"38501376\"] \n  37 -> 38 [size =\"38501376\"]\n  38 [size=\"29521920\", alpha=\"0.17\", expect_size=\"11808768\"] \n  38 -> 39 [size =\"11808768\"]\n  39 [size=\"80593920\", alpha=\"0.19\", expect_size=\"32237568\"] \n  39 -> 40 [size =\"32237568\"]\n  40 [size=\"74142720\", alpha=\"0.16\", expect_size=\"29657088\"] \n  40 -> 41 [size =\"29657088\"]\n  41 [size=\"23321600\", alpha=\"0.06\", expect_size=\"9328640\"] \n  41 -> 42 [size =\"9328640\"]\n  42 [size=\"23485440\", alpha=\"0.07\", expect_size=\"9394176\"] \n  42 -> 43 [size =\"9394176\"]\n  43 [size=\"26792960\", alpha=\"0.14\", expect_size=\"10717184\"] \n  43 -> 44 [size =\"10717184\"]\n  44 [size=\"99136000\", alpha=\"0.15\", expect_size=\"39654400\"] \n  44 -> 45 [size =\"39654400\"]\n  45 [size=\"122938880\", alpha=\"0.01\", expect_size=\"49175552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89980928\", alpha=\"0.12\", expect_size=\"44990464\"] \n  1 -> 33 [size =\"44990464\"]\n  1 -> 34 [size =\"44990464\"]\n  1 -> 37 [size =\"44990464\"]\n  1 -> 40 [size =\"44990464\"]\n  1 -> 45 [size =\"44990464\"]\n  2 [size=\"64473088\", alpha=\"0.10\", expect_size=\"32236544\"] \n  2 -> 33 [size =\"32236544\"]\n  2 -> 34 [size =\"32236544\"]\n  2 -> 40 [size =\"32236544\"]\n  2 -> 40 [size =\"32236544\"]\n  2 -> 45 [size =\"32236544\"]\n  3 [size=\"26140672\", alpha=\"0.04\", expect_size=\"13070336\"] \n  3 -> 33 [size =\"13070336\"]\n  3 -> 34 [size =\"13070336\"]\n  3 -> 39 [size =\"13070336\"]\n  3 -> 40 [size =\"13070336\"]\n  3 -> 42 [size =\"13070336\"]\n  3 -> 45 [size =\"13070336\"]\n  4 [size=\"16982016\", alpha=\"0.04\", expect_size=\"8491008\"] \n  4 -> 34 [size =\"8491008\"]\n  4 -> 34 [size =\"8491008\"]\n  4 -> 37 [size =\"8491008\"]\n  4 -> 38 [size =\"8491008\"]\n  4 -> 39 [size =\"8491008\"]\n  4 -> 45 [size =\"8491008\"]\n  5 [size=\"60229632\", alpha=\"0.19\", expect_size=\"30114816\"] \n  5 -> 33 [size =\"30114816\"]\n  5 -> 34 [size =\"30114816\"]\n  5 -> 38 [size =\"30114816\"]\n  5 -> 39 [size =\"30114816\"]\n  5 -> 39 [size =\"30114816\"]\n  5 -> 45 [size =\"30114816\"]\n  6 [size=\"71348224\", alpha=\"0.10\", expect_size=\"35674112\"] \n  6 -> 33 [size =\"35674112\"]\n  6 -> 34 [size =\"35674112\"]\n  6 -> 39 [size =\"35674112\"]\n  6 -> 39 [size =\"35674112\"]\n  6 -> 40 [size =\"35674112\"]\n  6 -> 42 [size =\"35674112\"]\n  6 -> 45 [size =\"35674112\"]\n  7 [size=\"101451776\", alpha=\"0.08\", expect_size=\"50725888\"] \n  7 -> 34 [size =\"50725888\"]\n  7 -> 35 [size =\"50725888\"]\n  7 -> 39 [size =\"50725888\"]\n  7 -> 40 [size =\"50725888\"]\n  7 -> 45 [size =\"50725888\"]\n  8 [size=\"84025344\", alpha=\"0.15\", expect_size=\"42012672\"] \n  8 -> 37 [size =\"42012672\"]\n  8 -> 45 [size =\"42012672\"]\n  9 [size=\"21106688\", alpha=\"0.14\", expect_size=\"10553344\"] \n  9 -> 33 [size =\"10553344\"]\n  9 -> 35 [size =\"10553344\"]\n  9 -> 37 [size =\"10553344\"]\n  9 -> 39 [size =\"10553344\"]\n  9 -> 40 [size =\"10553344\"]\n  9 -> 45 [size =\"10553344\"]\n  10 [size=\"32278528\", alpha=\"0.05\", expect_size=\"16139264\"] \n  10 -> 34 [size =\"16139264\"]\n  10 -> 35 [size =\"16139264\"]\n  10 -> 37 [size =\"16139264\"]\n  10 -> 38 [size =\"16139264\"]\n  10 -> 40 [size =\"16139264\"]\n  10 -> 45 [size =\"16139264\"]\n  11 [size=\"34754560\", alpha=\"0.01\", expect_size=\"17377280\"] \n  11 -> 35 [size =\"17377280\"]\n  11 -> 38 [size =\"17377280\"]\n  11 -> 45 [size =\"17377280\"]\n  12 [size=\"92618752\", alpha=\"0.11\", expect_size=\"46309376\"] \n  12 -> 34 [size =\"46309376\"]\n  12 -> 35 [size =\"46309376\"]\n  12 -> 42 [size =\"46309376\"]\n  12 -> 45 [size =\"46309376\"]\n  13 [size=\"44976128\", alpha=\"0.14\", expect_size=\"22488064\"] \n  13 -> 34 [size =\"22488064\"]\n  13 -> 38 [size =\"22488064\"]\n  13 -> 42 [size =\"22488064\"]\n  13 -> 43 [size =\"22488064\"]\n  13 -> 45 [size =\"22488064\"]\n  14 [size=\"64888832\", alpha=\"0.13\", expect_size=\"32444416\"] \n  14 -> 38 [size =\"32444416\"]\n  14 -> 39 [size =\"32444416\"]\n  14 -> 45 [size =\"32444416\"]\n  15 [size=\"84873216\", alpha=\"0.17\", expect_size=\"42436608\"] \n  15 -> 33 [size =\"42436608\"]\n  15 -> 34 [size =\"42436608\"]\n  15 -> 38 [size =\"42436608\"]\n  15 -> 39 [size =\"42436608\"]\n  15 -> 45 [size =\"42436608\"]\n  16 [size=\"81432576\", alpha=\"0.10\", expect_size=\"40716288\"] \n  16 -> 33 [size =\"40716288\"]\n  16 -> 34 [size =\"40716288\"]\n  16 -> 38 [size =\"40716288\"]\n  16 -> 39 [size =\"40716288\"]\n  17 [size=\"35653632\", alpha=\"0.16\", expect_size=\"17826816\"] \n  17 -> 33 [size =\"17826816\"]\n  17 -> 35 [size =\"17826816\"]\n  17 -> 37 [size =\"17826816\"]\n  17 -> 38 [size =\"17826816\"]\n  17 -> 42 [size =\"17826816\"]\n  17 -> 43 [size =\"17826816\"]\n  18 [size=\"73633792\", alpha=\"0.09\", expect_size=\"36816896\"] \n  18 -> 33 [size =\"36816896\"]\n  18 -> 34 [size =\"36816896\"]\n  18 -> 35 [size =\"36816896\"]\n  18 -> 38 [size =\"36816896\"]\n  18 -> 40 [size =\"36816896\"]\n  18 -> 43 [size =\"36816896\"]\n  19 [size=\"51447808\", alpha=\"0.00\", expect_size=\"25723904\"] \n  19 -> 33 [size =\"25723904\"]\n  19 -> 34 [size =\"25723904\"]\n  19 -> 35 [size =\"25723904\"]\n  19 -> 38 [size =\"25723904\"]\n  20 [size=\"22243328\", alpha=\"0.15\", expect_size=\"11121664\"] \n  20 -> 33 [size =\"11121664\"]\n  20 -> 34 [size =\"11121664\"]\n  20 -> 35 [size =\"11121664\"]\n  20 -> 43 [size =\"11121664\"]\n  21 [size=\"46891008\", alpha=\"0.06\", expect_size=\"23445504\"] \n  21 -> 33 [size =\"23445504\"]\n  21 -> 34 [size =\"23445504\"]\n  21 -> 36 [size =\"23445504\"]\n  21 -> 40 [size =\"23445504\"]\n  22 [size=\"53270528\", alpha=\"0.09\", expect_size=\"26635264\"] \n  22 -> 33 [size =\"26635264\"]\n  22 -> 34 [size =\"26635264\"]\n  22 -> 40 [size =\"26635264\"]\n  22 -> 45 [size =\"26635264\"]\n  23 [size=\"104206336\", alpha=\"0.15\", expect_size=\"52103168\"] \n  23 -> 33 [size =\"52103168\"]\n  23 -> 34 [size =\"52103168\"]\n  23 -> 36 [size =\"52103168\"]\n  23 -> 37 [size =\"52103168\"]\n  23 -> 39 [size =\"52103168\"]\n  23 -> 44 [size =\"52103168\"]\n  24 [size=\"75024384\", alpha=\"0.02\", expect_size=\"37512192\"] \n  24 -> 33 [size =\"37512192\"]\n  24 -> 34 [size =\"37512192\"]\n  24 -> 35 [size =\"37512192\"]\n  24 -> 36 [size =\"37512192\"]\n  24 -> 38 [size =\"37512192\"]\n  24 -> 40 [size =\"37512192\"]\n  24 -> 45 [size =\"37512192\"]\n  25 [size=\"41842688\", alpha=\"0.00\", expect_size=\"20921344\"] \n  25 -> 34 [size =\"20921344\"]\n  25 -> 34 [size =\"20921344\"]\n  25 -> 35 [size =\"20921344\"]\n  25 -> 38 [size =\"20921344\"]\n  25 -> 39 [size =\"20921344\"]\n  25 -> 40 [size =\"20921344\"]\n  25 -> 45 [size =\"20921344\"]\n  26 [size=\"25839616\", alpha=\"0.11\", expect_size=\"12919808\"] \n  26 -> 33 [size =\"12919808\"]\n  26 -> 34 [size =\"12919808\"]\n  26 -> 35 [size =\"12919808\"]\n  26 -> 39 [size =\"12919808\"]\n  26 -> 40 [size =\"12919808\"]\n  26 -> 40 [size =\"12919808\"]\n  27 [size=\"72667136\", alpha=\"0.01\", expect_size=\"36333568\"] \n  27 -> 33 [size =\"36333568\"]\n  27 -> 34 [size =\"36333568\"]\n  27 -> 35 [size =\"36333568\"]\n  27 -> 37 [size =\"36333568\"]\n  27 -> 39 [size =\"36333568\"]\n  27 -> 40 [size =\"36333568\"]\n  27 -> 41 [size =\"36333568\"]\n  27 -> 45 [size =\"36333568\"]\n  28 [size=\"53782528\", alpha=\"0.07\", expect_size=\"26891264\"] \n  28 -> 33 [size =\"26891264\"]\n  28 -> 34 [size =\"26891264\"]\n  28 -> 35 [size =\"26891264\"]\n  28 -> 37 [size =\"26891264\"]\n  29 [size=\"97945600\", alpha=\"0.15\", expect_size=\"48972800\"] \n  29 -> 35 [size =\"48972800\"]\n  29 -> 37 [size =\"48972800\"]\n  29 -> 38 [size =\"48972800\"]\n  29 -> 45 [size =\"48972800\"]\n  30 [size=\"100055040\", alpha=\"0.08\", expect_size=\"50027520\"] \n  30 -> 34 [size =\"50027520\"]\n  30 -> 35 [size =\"50027520\"]\n  30 -> 37 [size =\"50027520\"]\n  30 -> 38 [size =\"50027520\"]\n  30 -> 40 [size =\"50027520\"]\n  30 -> 45 [size =\"50027520\"]\n  31 [size=\"75937792\", alpha=\"0.05\", expect_size=\"37968896\"] \n  31 -> 33 [size =\"37968896\"]\n  31 -> 35 [size =\"37968896\"]\n  31 -> 37 [size =\"37968896\"]\n  31 -> 38 [size =\"37968896\"]\n  31 -> 40 [size =\"37968896\"]\n  31 -> 42 [size =\"37968896\"]\n  31 -> 45 [size =\"37968896\"]\n  32 [size=\"10717184\", alpha=\"0.01\", expect_size=\"5358592\"] \n  32 -> 33 [size =\"5358592\"]\n  32 -> 35 [size =\"5358592\"]\n  32 -> 36 [size =\"5358592\"]\n  32 -> 37 [size =\"5358592\"]\n  32 -> 38 [size =\"5358592\"]\n  32 -> 40 [size =\"5358592\"]\n  32 -> 45 [size =\"5358592\"]\n  33 [size=\"52752384\", alpha=\"0.03\", expect_size=\"26376192\"] \n  34 [size=\"28956672\", alpha=\"0.17\", expect_size=\"14478336\"] \n  35 [size=\"40198144\", alpha=\"0.07\", expect_size=\"20099072\"] \n  36 [size=\"41850880\", alpha=\"0.12\", expect_size=\"20925440\"] \n  37 [size=\"94777344\", alpha=\"0.02\", expect_size=\"47388672\"] \n  38 [size=\"101201920\", alpha=\"0.05\", expect_size=\"50600960\"] \n  39 [size=\"40294400\", alpha=\"0.17\", expect_size=\"20147200\"] \n  40 [size=\"17045504\", alpha=\"0.12\", expect_size=\"8522752\"] \n  41 [size=\"53252096\", alpha=\"0.14\", expect_size=\"26626048\"] \n  42 [size=\"78811136\", alpha=\"0.06\", expect_size=\"39405568\"] \n  43 [size=\"81485824\", alpha=\"0.17\", expect_size=\"40742912\"] \n  44 [size=\"95766528\", alpha=\"0.02\", expect_size=\"47883264\"] \n  45 [size=\"81686528\", alpha=\"0.14\", expect_size=\"40843264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45573120\", alpha=\"0.15\", expect_size=\"18229248\"] \n  1 -> 10 [size =\"18229248\"]\n  2 [size=\"118228480\", alpha=\"0.16\", expect_size=\"47291392\"] \n  3 [size=\"14169600\", alpha=\"0.07\", expect_size=\"5667840\"] \n  3 -> 9 [size =\"5667840\"]\n  3 -> 10 [size =\"5667840\"]\n  3 -> 11 [size =\"5667840\"]\n  3 -> 12 [size =\"5667840\"]\n  4 [size=\"33448960\", alpha=\"0.17\", expect_size=\"13379584\"] \n  4 -> 8 [size =\"13379584\"]\n  5 [size=\"84830720\", alpha=\"0.06\", expect_size=\"33932288\"] \n  5 -> 9 [size =\"33932288\"]\n  6 [size=\"74606080\", alpha=\"0.04\", expect_size=\"29842432\"] \n  6 -> 8 [size =\"29842432\"]\n  6 -> 10 [size =\"29842432\"]\n  7 [size=\"16934400\", alpha=\"0.07\", expect_size=\"6773760\"] \n  7 -> 8 [size =\"6773760\"]\n  7 -> 11 [size =\"6773760\"]\n  8 [size=\"55528960\", alpha=\"0.03\", expect_size=\"22211584\"] \n  8 -> 13 [size =\"22211584\"]\n  8 -> 14 [size =\"22211584\"]\n  9 [size=\"97175040\", alpha=\"0.12\", expect_size=\"38870016\"] \n  9 -> 15 [size =\"38870016\"]\n  9 -> 16 [size =\"38870016\"]\n  9 -> 17 [size =\"38870016\"]\n  9 -> 19 [size =\"38870016\"]\n  10 [size=\"95034880\", alpha=\"0.16\", expect_size=\"38013952\"] \n  10 -> 14 [size =\"38013952\"]\n  10 -> 17 [size =\"38013952\"]\n  10 -> 18 [size =\"38013952\"]\n  10 -> 20 [size =\"38013952\"]\n  11 [size=\"105152000\", alpha=\"0.12\", expect_size=\"42060800\"] \n  11 -> 18 [size =\"42060800\"]\n  11 -> 19 [size =\"42060800\"]\n  12 [size=\"73341440\", alpha=\"0.17\", expect_size=\"29336576\"] \n  12 -> 14 [size =\"29336576\"]\n  12 -> 15 [size =\"29336576\"]\n  12 -> 19 [size =\"29336576\"]\n  13 [size=\"51563520\", alpha=\"0.19\", expect_size=\"20625408\"] \n  13 -> 23 [size =\"20625408\"]\n  14 [size=\"90065920\", alpha=\"0.20\", expect_size=\"36026368\"] \n  15 [size=\"70904320\", alpha=\"0.08\", expect_size=\"28361728\"] \n  15 -> 21 [size =\"28361728\"]\n  15 -> 22 [size =\"28361728\"]\n  16 [size=\"107010560\", alpha=\"0.10\", expect_size=\"42804224\"] \n  16 -> 22 [size =\"42804224\"]\n  16 -> 23 [size =\"42804224\"]\n  16 -> 24 [size =\"42804224\"]\n  17 [size=\"15024640\", alpha=\"0.19\", expect_size=\"6009856\"] \n  17 -> 23 [size =\"6009856\"]\n  17 -> 24 [size =\"6009856\"]\n  18 [size=\"58739200\", alpha=\"0.08\", expect_size=\"23495680\"] \n  18 -> 22 [size =\"23495680\"]\n  18 -> 23 [size =\"23495680\"]\n  19 [size=\"77099520\", alpha=\"0.16\", expect_size=\"30839808\"] \n  19 -> 22 [size =\"30839808\"]\n  19 -> 23 [size =\"30839808\"]\n  19 -> 24 [size =\"30839808\"]\n  19 -> 25 [size =\"30839808\"]\n  20 [size=\"29839360\", alpha=\"0.14\", expect_size=\"11935744\"] \n  20 -> 22 [size =\"11935744\"]\n  20 -> 25 [size =\"11935744\"]\n  21 [size=\"123013120\", alpha=\"0.17\", expect_size=\"49205248\"] \n  21 -> 27 [size =\"49205248\"]\n  21 -> 28 [size =\"49205248\"]\n  21 -> 29 [size =\"49205248\"]\n  21 -> 30 [size =\"49205248\"]\n  21 -> 31 [size =\"49205248\"]\n  21 -> 32 [size =\"49205248\"]\n  22 [size=\"76503040\", alpha=\"0.18\", expect_size=\"30601216\"] \n  22 -> 27 [size =\"30601216\"]\n  22 -> 29 [size =\"30601216\"]\n  22 -> 33 [size =\"30601216\"]\n  23 [size=\"60047360\", alpha=\"0.20\", expect_size=\"24018944\"] \n  23 -> 26 [size =\"24018944\"]\n  23 -> 30 [size =\"24018944\"]\n  24 [size=\"54766080\", alpha=\"0.05\", expect_size=\"21906432\"] \n  24 -> 26 [size =\"21906432\"]\n  24 -> 27 [size =\"21906432\"]\n  24 -> 28 [size =\"21906432\"]\n  24 -> 29 [size =\"21906432\"]\n  24 -> 30 [size =\"21906432\"]\n  24 -> 33 [size =\"21906432\"]\n  25 [size=\"54737920\", alpha=\"0.02\", expect_size=\"21895168\"] \n  25 -> 28 [size =\"21895168\"]\n  25 -> 31 [size =\"21895168\"]\n  25 -> 32 [size =\"21895168\"]\n  26 [size=\"102266880\", alpha=\"0.09\", expect_size=\"40906752\"] \n  27 [size=\"45626880\", alpha=\"0.18\", expect_size=\"18250752\"] \n  27 -> 34 [size =\"18250752\"]\n  27 -> 37 [size =\"18250752\"]\n  27 -> 38 [size =\"18250752\"]\n  28 [size=\"40128000\", alpha=\"0.13\", expect_size=\"16051200\"] \n  28 -> 37 [size =\"16051200\"]\n  29 [size=\"86615040\", alpha=\"0.03\", expect_size=\"34646016\"] \n  29 -> 34 [size =\"34646016\"]\n  30 [size=\"60743680\", alpha=\"0.06\", expect_size=\"24297472\"] \n  30 -> 34 [size =\"24297472\"]\n  30 -> 35 [size =\"24297472\"]\n  30 -> 36 [size =\"24297472\"]\n  30 -> 37 [size =\"24297472\"]\n  31 [size=\"22919680\", alpha=\"0.05\", expect_size=\"9167872\"] \n  31 -> 34 [size =\"9167872\"]\n  31 -> 37 [size =\"9167872\"]\n  31 -> 38 [size =\"9167872\"]\n  32 [size=\"123573760\", alpha=\"0.14\", expect_size=\"49429504\"] \n  32 -> 37 [size =\"49429504\"]\n  32 -> 39 [size =\"49429504\"]\n  33 [size=\"113932800\", alpha=\"0.10\", expect_size=\"45573120\"] \n  33 -> 36 [size =\"45573120\"]\n  34 [size=\"113024000\", alpha=\"0.19\", expect_size=\"45209600\"] \n  35 [size=\"23226880\", alpha=\"0.18\", expect_size=\"9290752\"] \n  36 [size=\"34232320\", alpha=\"0.12\", expect_size=\"13692928\"] \n  37 [size=\"89569280\", alpha=\"0.07\", expect_size=\"35827712\"] \n  37 -> 42 [size =\"35827712\"]\n  38 [size=\"75107840\", alpha=\"0.10\", expect_size=\"30043136\"] \n  38 -> 40 [size =\"30043136\"]\n  38 -> 42 [size =\"30043136\"]\n  38 -> 43 [size =\"30043136\"]\n  39 [size=\"33269760\", alpha=\"0.04\", expect_size=\"13307904\"] \n  39 -> 41 [size =\"13307904\"]\n  40 [size=\"48122880\", alpha=\"0.20\", expect_size=\"19249152\"] \n  40 -> 44 [size =\"19249152\"]\n  40 -> 45 [size =\"19249152\"]\n  41 [size=\"83632640\", alpha=\"0.15\", expect_size=\"33453056\"] \n  41 -> 45 [size =\"33453056\"]\n  42 [size=\"113881600\", alpha=\"0.01\", expect_size=\"45552640\"] \n  42 -> 45 [size =\"45552640\"]\n  43 [size=\"81136640\", alpha=\"0.14\", expect_size=\"32454656\"] \n  44 [size=\"23856640\", alpha=\"0.15\", expect_size=\"9542656\"] \n  45 [size=\"19002880\", alpha=\"0.03\", expect_size=\"7601152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33633280\", alpha=\"0.15\", expect_size=\"13453312\"] \n  1 -> 2 [size =\"13453312\"]\n  2 [size=\"14182400\", alpha=\"0.04\", expect_size=\"5672960\"] \n  2 -> 3 [size =\"5672960\"]\n  3 [size=\"60584960\", alpha=\"0.05\", expect_size=\"24233984\"] \n  3 -> 4 [size =\"24233984\"]\n  4 [size=\"33756160\", alpha=\"0.15\", expect_size=\"13502464\"] \n  4 -> 5 [size =\"13502464\"]\n  5 [size=\"99394560\", alpha=\"0.20\", expect_size=\"39757824\"] \n  5 -> 6 [size =\"39757824\"]\n  6 [size=\"47971840\", alpha=\"0.18\", expect_size=\"19188736\"] \n  6 -> 7 [size =\"19188736\"]\n  7 [size=\"74810880\", alpha=\"0.11\", expect_size=\"29924352\"] \n  7 -> 8 [size =\"29924352\"]\n  8 [size=\"110597120\", alpha=\"0.18\", expect_size=\"44238848\"] \n  8 -> 9 [size =\"44238848\"]\n  9 [size=\"110551040\", alpha=\"0.05\", expect_size=\"44220416\"] \n  9 -> 10 [size =\"44220416\"]\n  10 [size=\"79260160\", alpha=\"0.14\", expect_size=\"31704064\"] \n  10 -> 11 [size =\"31704064\"]\n  11 [size=\"40670720\", alpha=\"0.09\", expect_size=\"16268288\"] \n  11 -> 12 [size =\"16268288\"]\n  12 [size=\"129344000\", alpha=\"0.02\", expect_size=\"51737600\"] \n  12 -> 13 [size =\"51737600\"]\n  13 [size=\"37258240\", alpha=\"0.19\", expect_size=\"14903296\"] \n  13 -> 14 [size =\"14903296\"]\n  14 [size=\"64122880\", alpha=\"0.07\", expect_size=\"25649152\"] \n  14 -> 15 [size =\"25649152\"]\n  15 [size=\"36610560\", alpha=\"0.17\", expect_size=\"14644224\"] \n  15 -> 16 [size =\"14644224\"]\n  16 [size=\"34040320\", alpha=\"0.10\", expect_size=\"13616128\"] \n  16 -> 17 [size =\"13616128\"]\n  17 [size=\"21040640\", alpha=\"0.18\", expect_size=\"8416256\"] \n  17 -> 18 [size =\"8416256\"]\n  18 [size=\"87728640\", alpha=\"0.19\", expect_size=\"35091456\"] \n  18 -> 19 [size =\"35091456\"]\n  19 [size=\"78346240\", alpha=\"0.07\", expect_size=\"31338496\"] \n  19 -> 20 [size =\"31338496\"]\n  20 [size=\"110535680\", alpha=\"0.02\", expect_size=\"44214272\"] \n  20 -> 21 [size =\"44214272\"]\n  21 [size=\"77711360\", alpha=\"0.01\", expect_size=\"31084544\"] \n  21 -> 22 [size =\"31084544\"]\n  22 [size=\"15621120\", alpha=\"0.01\", expect_size=\"6248448\"] \n  22 -> 23 [size =\"6248448\"]\n  23 [size=\"29061120\", alpha=\"0.08\", expect_size=\"11624448\"] \n  23 -> 24 [size =\"11624448\"]\n  24 [size=\"23150080\", alpha=\"0.19\", expect_size=\"9260032\"] \n  24 -> 25 [size =\"9260032\"]\n  25 [size=\"63598080\", alpha=\"0.04\", expect_size=\"25439232\"] \n  25 -> 26 [size =\"25439232\"]\n  26 [size=\"45573120\", alpha=\"0.16\", expect_size=\"18229248\"] \n  26 -> 27 [size =\"18229248\"]\n  27 [size=\"104504320\", alpha=\"0.18\", expect_size=\"41801728\"] \n  27 -> 28 [size =\"41801728\"]\n  28 [size=\"94231040\", alpha=\"0.16\", expect_size=\"37692416\"] \n  28 -> 29 [size =\"37692416\"]\n  29 [size=\"85550080\", alpha=\"0.11\", expect_size=\"34220032\"] \n  29 -> 30 [size =\"34220032\"]\n  30 [size=\"124008960\", alpha=\"0.17\", expect_size=\"49603584\"] \n  30 -> 31 [size =\"49603584\"]\n  31 [size=\"18890240\", alpha=\"0.08\", expect_size=\"7556096\"] \n  31 -> 32 [size =\"7556096\"]\n  32 [size=\"26654720\", alpha=\"0.18\", expect_size=\"10661888\"] \n  32 -> 33 [size =\"10661888\"]\n  33 [size=\"30412800\", alpha=\"0.13\", expect_size=\"12165120\"] \n  33 -> 34 [size =\"12165120\"]\n  34 [size=\"77644800\", alpha=\"0.16\", expect_size=\"31057920\"] \n  34 -> 35 [size =\"31057920\"]\n  35 [size=\"71032320\", alpha=\"0.04\", expect_size=\"28412928\"] \n  35 -> 36 [size =\"28412928\"]\n  36 [size=\"96867840\", alpha=\"0.14\", expect_size=\"38747136\"] \n  36 -> 37 [size =\"38747136\"]\n  37 [size=\"72048640\", alpha=\"0.07\", expect_size=\"28819456\"] \n  37 -> 38 [size =\"28819456\"]\n  38 [size=\"58278400\", alpha=\"0.11\", expect_size=\"23311360\"] \n  38 -> 39 [size =\"23311360\"]\n  39 [size=\"35087360\", alpha=\"0.07\", expect_size=\"14034944\"] \n  39 -> 40 [size =\"14034944\"]\n  40 [size=\"99916800\", alpha=\"0.20\", expect_size=\"39966720\"] \n  40 -> 41 [size =\"39966720\"]\n  41 [size=\"82992640\", alpha=\"0.03\", expect_size=\"33197056\"] \n  41 -> 42 [size =\"33197056\"]\n  42 [size=\"129843200\", alpha=\"0.07\", expect_size=\"51937280\"] \n  42 -> 43 [size =\"51937280\"]\n  43 [size=\"120778240\", alpha=\"0.13\", expect_size=\"48311296\"] \n  43 -> 44 [size =\"48311296\"]\n  44 [size=\"79953920\", alpha=\"0.01\", expect_size=\"31981568\"] \n  44 -> 45 [size =\"31981568\"]\n  45 [size=\"58380800\", alpha=\"0.18\", expect_size=\"23352320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90603520\", alpha=\"0.18\", expect_size=\"45301760\"] \n  1 -> 16 [size =\"45301760\"]\n  1 -> 25 [size =\"45301760\"]\n  1 -> 26 [size =\"45301760\"]\n  2 [size=\"26976256\", alpha=\"0.10\", expect_size=\"13488128\"] \n  2 -> 15 [size =\"13488128\"]\n  2 -> 20 [size =\"13488128\"]\n  2 -> 21 [size =\"13488128\"]\n  2 -> 23 [size =\"13488128\"]\n  2 -> 25 [size =\"13488128\"]\n  2 -> 26 [size =\"13488128\"]\n  3 [size=\"81082368\", alpha=\"0.01\", expect_size=\"40541184\"] \n  3 -> 15 [size =\"40541184\"]\n  3 -> 16 [size =\"40541184\"]\n  3 -> 25 [size =\"40541184\"]\n  3 -> 27 [size =\"40541184\"]\n  4 [size=\"49899520\", alpha=\"0.10\", expect_size=\"24949760\"] \n  4 -> 15 [size =\"24949760\"]\n  5 [size=\"75440128\", alpha=\"0.09\", expect_size=\"37720064\"] \n  5 -> 15 [size =\"37720064\"]\n  5 -> 19 [size =\"37720064\"]\n  6 [size=\"25577472\", alpha=\"0.00\", expect_size=\"12788736\"] \n  6 -> 15 [size =\"12788736\"]\n  6 -> 17 [size =\"12788736\"]\n  6 -> 18 [size =\"12788736\"]\n  6 -> 22 [size =\"12788736\"]\n  6 -> 23 [size =\"12788736\"]\n  7 [size=\"77541376\", alpha=\"0.12\", expect_size=\"38770688\"] \n  7 -> 15 [size =\"38770688\"]\n  7 -> 19 [size =\"38770688\"]\n  7 -> 20 [size =\"38770688\"]\n  7 -> 24 [size =\"38770688\"]\n  7 -> 25 [size =\"38770688\"]\n  8 [size=\"27273216\", alpha=\"0.07\", expect_size=\"13636608\"] \n  8 -> 15 [size =\"13636608\"]\n  8 -> 18 [size =\"13636608\"]\n  8 -> 20 [size =\"13636608\"]\n  8 -> 25 [size =\"13636608\"]\n  8 -> 25 [size =\"13636608\"]\n  9 [size=\"15679488\", alpha=\"0.04\", expect_size=\"7839744\"] \n  9 -> 15 [size =\"7839744\"]\n  9 -> 18 [size =\"7839744\"]\n  10 [size=\"63082496\", alpha=\"0.15\", expect_size=\"31541248\"] \n  10 -> 15 [size =\"31541248\"]\n  10 -> 16 [size =\"31541248\"]\n  10 -> 23 [size =\"31541248\"]\n  10 -> 24 [size =\"31541248\"]\n  11 [size=\"71071744\", alpha=\"0.14\", expect_size=\"35535872\"] \n  11 -> 17 [size =\"35535872\"]\n  11 -> 20 [size =\"35535872\"]\n  11 -> 23 [size =\"35535872\"]\n  11 -> 25 [size =\"35535872\"]\n  11 -> 27 [size =\"35535872\"]\n  12 [size=\"62906368\", alpha=\"0.01\", expect_size=\"31453184\"] \n  12 -> 21 [size =\"31453184\"]\n  12 -> 24 [size =\"31453184\"]\n  12 -> 25 [size =\"31453184\"]\n  12 -> 25 [size =\"31453184\"]\n  13 [size=\"14448640\", alpha=\"0.16\", expect_size=\"7224320\"] \n  13 -> 15 [size =\"7224320\"]\n  13 -> 23 [size =\"7224320\"]\n  14 [size=\"20019200\", alpha=\"0.16\", expect_size=\"10009600\"] \n  14 -> 16 [size =\"10009600\"]\n  14 -> 24 [size =\"10009600\"]\n  14 -> 26 [size =\"10009600\"]\n  14 -> 27 [size =\"10009600\"]\n  15 [size=\"68726784\", alpha=\"0.10\", expect_size=\"34363392\"] \n  15 -> 28 [size =\"34363392\"]\n  15 -> 29 [size =\"34363392\"]\n  15 -> 30 [size =\"34363392\"]\n  15 -> 31 [size =\"34363392\"]\n  15 -> 32 [size =\"34363392\"]\n  15 -> 34 [size =\"34363392\"]\n  15 -> 36 [size =\"34363392\"]\n  15 -> 37 [size =\"34363392\"]\n  15 -> 39 [size =\"34363392\"]\n  16 [size=\"15278080\", alpha=\"0.05\", expect_size=\"7639040\"] \n  16 -> 28 [size =\"7639040\"]\n  16 -> 29 [size =\"7639040\"]\n  16 -> 30 [size =\"7639040\"]\n  16 -> 37 [size =\"7639040\"]\n  16 -> 39 [size =\"7639040\"]\n  16 -> 40 [size =\"7639040\"]\n  16 -> 41 [size =\"7639040\"]\n  17 [size=\"16689152\", alpha=\"0.10\", expect_size=\"8344576\"] \n  17 -> 29 [size =\"8344576\"]\n  17 -> 30 [size =\"8344576\"]\n  17 -> 30 [size =\"8344576\"]\n  17 -> 37 [size =\"8344576\"]\n  17 -> 41 [size =\"8344576\"]\n  18 [size=\"71438336\", alpha=\"0.19\", expect_size=\"35719168\"] \n  18 -> 30 [size =\"35719168\"]\n  18 -> 32 [size =\"35719168\"]\n  18 -> 37 [size =\"35719168\"]\n  18 -> 38 [size =\"35719168\"]\n  18 -> 41 [size =\"35719168\"]\n  19 [size=\"102508544\", alpha=\"0.09\", expect_size=\"51254272\"] \n  19 -> 29 [size =\"51254272\"]\n  19 -> 32 [size =\"51254272\"]\n  19 -> 36 [size =\"51254272\"]\n  19 -> 37 [size =\"51254272\"]\n  19 -> 38 [size =\"51254272\"]\n  19 -> 41 [size =\"51254272\"]\n  20 [size=\"24948736\", alpha=\"0.02\", expect_size=\"12474368\"] \n  20 -> 29 [size =\"12474368\"]\n  20 -> 36 [size =\"12474368\"]\n  20 -> 38 [size =\"12474368\"]\n  20 -> 40 [size =\"12474368\"]\n  21 [size=\"93847552\", alpha=\"0.12\", expect_size=\"46923776\"] \n  21 -> 33 [size =\"46923776\"]\n  21 -> 34 [size =\"46923776\"]\n  21 -> 35 [size =\"46923776\"]\n  21 -> 36 [size =\"46923776\"]\n  21 -> 39 [size =\"46923776\"]\n  21 -> 41 [size =\"46923776\"]\n  22 [size=\"64061440\", alpha=\"0.06\", expect_size=\"32030720\"] \n  22 -> 33 [size =\"32030720\"]\n  22 -> 34 [size =\"32030720\"]\n  22 -> 35 [size =\"32030720\"]\n  22 -> 39 [size =\"32030720\"]\n  22 -> 41 [size =\"32030720\"]\n  23 [size=\"70780928\", alpha=\"0.15\", expect_size=\"35390464\"] \n  23 -> 30 [size =\"35390464\"]\n  23 -> 31 [size =\"35390464\"]\n  23 -> 33 [size =\"35390464\"]\n  23 -> 34 [size =\"35390464\"]\n  23 -> 35 [size =\"35390464\"]\n  23 -> 39 [size =\"35390464\"]\n  23 -> 40 [size =\"35390464\"]\n  24 [size=\"50640896\", alpha=\"0.12\", expect_size=\"25320448\"] \n  24 -> 31 [size =\"25320448\"]\n  24 -> 34 [size =\"25320448\"]\n  24 -> 38 [size =\"25320448\"]\n  24 -> 39 [size =\"25320448\"]\n  25 [size=\"29800448\", alpha=\"0.03\", expect_size=\"14900224\"] \n  25 -> 29 [size =\"14900224\"]\n  25 -> 30 [size =\"14900224\"]\n  25 -> 31 [size =\"14900224\"]\n  25 -> 34 [size =\"14900224\"]\n  25 -> 37 [size =\"14900224\"]\n  25 -> 39 [size =\"14900224\"]\n  25 -> 41 [size =\"14900224\"]\n  26 [size=\"75122688\", alpha=\"0.17\", expect_size=\"37561344\"] \n  26 -> 29 [size =\"37561344\"]\n  26 -> 30 [size =\"37561344\"]\n  26 -> 31 [size =\"37561344\"]\n  26 -> 33 [size =\"37561344\"]\n  26 -> 34 [size =\"37561344\"]\n  26 -> 37 [size =\"37561344\"]\n  26 -> 38 [size =\"37561344\"]\n  26 -> 39 [size =\"37561344\"]\n  26 -> 40 [size =\"37561344\"]\n  27 [size=\"97089536\", alpha=\"0.05\", expect_size=\"48544768\"] \n  27 -> 29 [size =\"48544768\"]\n  27 -> 30 [size =\"48544768\"]\n  27 -> 31 [size =\"48544768\"]\n  27 -> 32 [size =\"48544768\"]\n  27 -> 34 [size =\"48544768\"]\n  27 -> 35 [size =\"48544768\"]\n  27 -> 37 [size =\"48544768\"]\n  27 -> 38 [size =\"48544768\"]\n  27 -> 39 [size =\"48544768\"]\n  28 [size=\"49500160\", alpha=\"0.17\", expect_size=\"24750080\"] \n  28 -> 44 [size =\"24750080\"]\n  28 -> 45 [size =\"24750080\"]\n  29 [size=\"44457984\", alpha=\"0.10\", expect_size=\"22228992\"] \n  29 -> 42 [size =\"22228992\"]\n  29 -> 43 [size =\"22228992\"]\n  29 -> 44 [size =\"22228992\"]\n  29 -> 45 [size =\"22228992\"]\n  30 [size=\"85233664\", alpha=\"0.14\", expect_size=\"42616832\"] \n  30 -> 42 [size =\"42616832\"]\n  30 -> 45 [size =\"42616832\"]\n  31 [size=\"94287872\", alpha=\"0.10\", expect_size=\"47143936\"] \n  31 -> 43 [size =\"47143936\"]\n  31 -> 44 [size =\"47143936\"]\n  32 [size=\"57372672\", alpha=\"0.18\", expect_size=\"28686336\"] \n  32 -> 43 [size =\"28686336\"]\n  32 -> 44 [size =\"28686336\"]\n  33 [size=\"85348352\", alpha=\"0.07\", expect_size=\"42674176\"] \n  34 [size=\"60067840\", alpha=\"0.18\", expect_size=\"30033920\"] \n  34 -> 42 [size =\"30033920\"]\n  34 -> 45 [size =\"30033920\"]\n  35 [size=\"20946944\", alpha=\"0.01\", expect_size=\"10473472\"] \n  35 -> 42 [size =\"10473472\"]\n  35 -> 43 [size =\"10473472\"]\n  35 -> 45 [size =\"10473472\"]\n  36 [size=\"32942080\", alpha=\"0.06\", expect_size=\"16471040\"] \n  36 -> 42 [size =\"16471040\"]\n  36 -> 43 [size =\"16471040\"]\n  36 -> 44 [size =\"16471040\"]\n  36 -> 45 [size =\"16471040\"]\n  37 [size=\"16773120\", alpha=\"0.11\", expect_size=\"8386560\"] \n  37 -> 42 [size =\"8386560\"]\n  37 -> 45 [size =\"8386560\"]\n  38 [size=\"39497728\", alpha=\"0.10\", expect_size=\"19748864\"] \n  38 -> 42 [size =\"19748864\"]\n  38 -> 43 [size =\"19748864\"]\n  38 -> 44 [size =\"19748864\"]\n  38 -> 45 [size =\"19748864\"]\n  39 [size=\"23531520\", alpha=\"0.07\", expect_size=\"11765760\"] \n  39 -> 42 [size =\"11765760\"]\n  39 -> 43 [size =\"11765760\"]\n  39 -> 44 [size =\"11765760\"]\n  39 -> 45 [size =\"11765760\"]\n  40 [size=\"68440064\", alpha=\"0.09\", expect_size=\"34220032\"] \n  40 -> 42 [size =\"34220032\"]\n  40 -> 43 [size =\"34220032\"]\n  41 [size=\"38078464\", alpha=\"0.07\", expect_size=\"19039232\"] \n  41 -> 42 [size =\"19039232\"]\n  41 -> 43 [size =\"19039232\"]\n  41 -> 44 [size =\"19039232\"]\n  42 [size=\"87404544\", alpha=\"0.17\", expect_size=\"43702272\"] \n  43 [size=\"80097280\", alpha=\"0.00\", expect_size=\"40048640\"] \n  44 [size=\"20117504\", alpha=\"0.11\", expect_size=\"10058752\"] \n  45 [size=\"11376640\", alpha=\"0.07\", expect_size=\"5688320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130481493\", alpha=\"0.03\", expect_size=\"39144448\"] \n  1 -> 21 [size =\"39144448\"]\n  1 -> 23 [size =\"39144448\"]\n  1 -> 26 [size =\"39144448\"]\n  1 -> 27 [size =\"39144448\"]\n  2 [size=\"138035200\", alpha=\"0.13\", expect_size=\"41410560\"] \n  2 -> 16 [size =\"41410560\"]\n  2 -> 17 [size =\"41410560\"]\n  2 -> 20 [size =\"41410560\"]\n  2 -> 27 [size =\"41410560\"]\n  3 [size=\"59784533\", alpha=\"0.07\", expect_size=\"17935360\"] \n  3 -> 17 [size =\"17935360\"]\n  3 -> 20 [size =\"17935360\"]\n  3 -> 27 [size =\"17935360\"]\n  3 -> 27 [size =\"17935360\"]\n  3 -> 28 [size =\"17935360\"]\n  4 [size=\"99816107\", alpha=\"0.19\", expect_size=\"29944832\"] \n  4 -> 28 [size =\"29944832\"]\n  5 [size=\"25995947\", alpha=\"0.06\", expect_size=\"7798784\"] \n  5 -> 16 [size =\"7798784\"]\n  5 -> 18 [size =\"7798784\"]\n  5 -> 22 [size =\"7798784\"]\n  5 -> 25 [size =\"7798784\"]\n  6 [size=\"172670293\", alpha=\"0.13\", expect_size=\"51801088\"] \n  6 -> 18 [size =\"51801088\"]\n  6 -> 19 [size =\"51801088\"]\n  6 -> 22 [size =\"51801088\"]\n  6 -> 28 [size =\"51801088\"]\n  7 [size=\"36307627\", alpha=\"0.11\", expect_size=\"10892288\"] \n  7 -> 16 [size =\"10892288\"]\n  7 -> 18 [size =\"10892288\"]\n  7 -> 24 [size =\"10892288\"]\n  7 -> 27 [size =\"10892288\"]\n  8 [size=\"39584427\", alpha=\"0.14\", expect_size=\"11875328\"] \n  8 -> 16 [size =\"11875328\"]\n  8 -> 18 [size =\"11875328\"]\n  8 -> 21 [size =\"11875328\"]\n  8 -> 27 [size =\"11875328\"]\n  9 [size=\"134608213\", alpha=\"0.18\", expect_size=\"40382464\"] \n  9 -> 18 [size =\"40382464\"]\n  9 -> 18 [size =\"40382464\"]\n  9 -> 22 [size =\"40382464\"]\n  10 [size=\"90504533\", alpha=\"0.11\", expect_size=\"27151360\"] \n  10 -> 19 [size =\"27151360\"]\n  10 -> 22 [size =\"27151360\"]\n  10 -> 23 [size =\"27151360\"]\n  11 [size=\"125965653\", alpha=\"0.09\", expect_size=\"37789696\"] \n  11 -> 20 [size =\"37789696\"]\n  11 -> 22 [size =\"37789696\"]\n  11 -> 25 [size =\"37789696\"]\n  11 -> 27 [size =\"37789696\"]\n  12 [size=\"147387733\", alpha=\"0.09\", expect_size=\"44216320\"] \n  12 -> 16 [size =\"44216320\"]\n  12 -> 17 [size =\"44216320\"]\n  12 -> 19 [size =\"44216320\"]\n  12 -> 20 [size =\"44216320\"]\n  12 -> 27 [size =\"44216320\"]\n  12 -> 29 [size =\"44216320\"]\n  13 [size=\"93375147\", alpha=\"0.10\", expect_size=\"28012544\"] \n  13 -> 20 [size =\"28012544\"]\n  14 [size=\"150398293\", alpha=\"0.20\", expect_size=\"45119488\"] \n  14 -> 19 [size =\"45119488\"]\n  14 -> 20 [size =\"45119488\"]\n  15 [size=\"140397227\", alpha=\"0.14\", expect_size=\"42119168\"] \n  15 -> 20 [size =\"42119168\"]\n  15 -> 25 [size =\"42119168\"]\n  16 [size=\"33658880\", alpha=\"0.12\", expect_size=\"10097664\"] \n  16 -> 30 [size =\"10097664\"]\n  16 -> 34 [size =\"10097664\"]\n  16 -> 38 [size =\"10097664\"]\n  16 -> 44 [size =\"10097664\"]\n  17 [size=\"131973120\", alpha=\"0.03\", expect_size=\"39591936\"] \n  17 -> 37 [size =\"39591936\"]\n  17 -> 42 [size =\"39591936\"]\n  17 -> 43 [size =\"39591936\"]\n  18 [size=\"59835733\", alpha=\"0.10\", expect_size=\"17950720\"] \n  18 -> 37 [size =\"17950720\"]\n  18 -> 38 [size =\"17950720\"]\n  18 -> 40 [size =\"17950720\"]\n  19 [size=\"173513387\", alpha=\"0.12\", expect_size=\"52054016\"] \n  19 -> 30 [size =\"52054016\"]\n  19 -> 31 [size =\"52054016\"]\n  19 -> 32 [size =\"52054016\"]\n  19 -> 35 [size =\"52054016\"]\n  19 -> 37 [size =\"52054016\"]\n  19 -> 39 [size =\"52054016\"]\n  19 -> 40 [size =\"52054016\"]\n  19 -> 41 [size =\"52054016\"]\n  19 -> 44 [size =\"52054016\"]\n  20 [size=\"159880533\", alpha=\"0.05\", expect_size=\"47964160\"] \n  20 -> 31 [size =\"47964160\"]\n  20 -> 32 [size =\"47964160\"]\n  20 -> 37 [size =\"47964160\"]\n  20 -> 40 [size =\"47964160\"]\n  21 [size=\"92439893\", alpha=\"0.12\", expect_size=\"27731968\"] \n  21 -> 30 [size =\"27731968\"]\n  21 -> 31 [size =\"27731968\"]\n  21 -> 36 [size =\"27731968\"]\n  21 -> 44 [size =\"27731968\"]\n  22 [size=\"166065493\", alpha=\"0.14\", expect_size=\"49819648\"] \n  22 -> 30 [size =\"49819648\"]\n  22 -> 31 [size =\"49819648\"]\n  22 -> 33 [size =\"49819648\"]\n  23 [size=\"82237440\", alpha=\"0.02\", expect_size=\"24671232\"] \n  23 -> 30 [size =\"24671232\"]\n  23 -> 34 [size =\"24671232\"]\n  24 [size=\"162099200\", alpha=\"0.20\", expect_size=\"48629760\"] \n  24 -> 32 [size =\"48629760\"]\n  24 -> 37 [size =\"48629760\"]\n  24 -> 41 [size =\"48629760\"]\n  24 -> 42 [size =\"48629760\"]\n  25 [size=\"159808853\", alpha=\"0.19\", expect_size=\"47942656\"] \n  25 -> 39 [size =\"47942656\"]\n  25 -> 43 [size =\"47942656\"]\n  25 -> 44 [size =\"47942656\"]\n  26 [size=\"115370667\", alpha=\"0.18\", expect_size=\"34611200\"] \n  26 -> 30 [size =\"34611200\"]\n  26 -> 31 [size =\"34611200\"]\n  26 -> 32 [size =\"34611200\"]\n  26 -> 41 [size =\"34611200\"]\n  27 [size=\"55248213\", alpha=\"0.19\", expect_size=\"16574464\"] \n  27 -> 32 [size =\"16574464\"]\n  27 -> 33 [size =\"16574464\"]\n  27 -> 39 [size =\"16574464\"]\n  27 -> 40 [size =\"16574464\"]\n  27 -> 41 [size =\"16574464\"]\n  28 [size=\"75182080\", alpha=\"0.03\", expect_size=\"22554624\"] \n  28 -> 30 [size =\"22554624\"]\n  28 -> 31 [size =\"22554624\"]\n  28 -> 37 [size =\"22554624\"]\n  28 -> 40 [size =\"22554624\"]\n  28 -> 42 [size =\"22554624\"]\n  29 [size=\"154101760\", alpha=\"0.02\", expect_size=\"46230528\"] \n  30 [size=\"94436693\", alpha=\"0.10\", expect_size=\"28331008\"] \n  31 [size=\"133017600\", alpha=\"0.12\", expect_size=\"39905280\"] \n  32 [size=\"68290560\", alpha=\"0.11\", expect_size=\"20487168\"] \n  33 [size=\"20807680\", alpha=\"0.19\", expect_size=\"6242304\"] \n  34 [size=\"32884053\", alpha=\"0.04\", expect_size=\"9865216\"] \n  35 [size=\"29569707\", alpha=\"0.05\", expect_size=\"8870912\"] \n  35 -> 45 [size =\"8870912\"]\n  36 [size=\"19394560\", alpha=\"0.08\", expect_size=\"5818368\"] \n  37 [size=\"157545813\", alpha=\"0.05\", expect_size=\"47263744\"] \n  38 [size=\"148288853\", alpha=\"0.08\", expect_size=\"44486656\"] \n  39 [size=\"171018240\", alpha=\"0.10\", expect_size=\"51305472\"] \n  40 [size=\"28293120\", alpha=\"0.11\", expect_size=\"8487936\"] \n  41 [size=\"107714560\", alpha=\"0.01\", expect_size=\"32314368\"] \n  42 [size=\"45916160\", alpha=\"0.10\", expect_size=\"13774848\"] \n  43 [size=\"130095787\", alpha=\"0.08\", expect_size=\"39028736\"] \n  44 [size=\"121582933\", alpha=\"0.03\", expect_size=\"36474880\"] \n  45 [size=\"153303040\", alpha=\"0.17\", expect_size=\"45990912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30641493\", alpha=\"0.07\", expect_size=\"9192448\"] \n  1 -> 16 [size =\"9192448\"]\n  1 -> 17 [size =\"9192448\"]\n  1 -> 19 [size =\"9192448\"]\n  1 -> 19 [size =\"9192448\"]\n  1 -> 20 [size =\"9192448\"]\n  1 -> 21 [size =\"9192448\"]\n  1 -> 23 [size =\"9192448\"]\n  1 -> 24 [size =\"9192448\"]\n  1 -> 26 [size =\"9192448\"]\n  1 -> 28 [size =\"9192448\"]\n  2 [size=\"151691947\", alpha=\"0.07\", expect_size=\"45507584\"] \n  2 -> 17 [size =\"45507584\"]\n  2 -> 17 [size =\"45507584\"]\n  2 -> 19 [size =\"45507584\"]\n  2 -> 21 [size =\"45507584\"]\n  2 -> 23 [size =\"45507584\"]\n  2 -> 25 [size =\"45507584\"]\n  2 -> 26 [size =\"45507584\"]\n  2 -> 27 [size =\"45507584\"]\n  2 -> 28 [size =\"45507584\"]\n  3 [size=\"62194347\", alpha=\"0.13\", expect_size=\"18658304\"] \n  3 -> 17 [size =\"18658304\"]\n  3 -> 18 [size =\"18658304\"]\n  3 -> 19 [size =\"18658304\"]\n  3 -> 22 [size =\"18658304\"]\n  3 -> 23 [size =\"18658304\"]\n  3 -> 26 [size =\"18658304\"]\n  3 -> 26 [size =\"18658304\"]\n  3 -> 27 [size =\"18658304\"]\n  3 -> 28 [size =\"18658304\"]\n  4 [size=\"115473067\", alpha=\"0.17\", expect_size=\"34641920\"] \n  4 -> 16 [size =\"34641920\"]\n  4 -> 17 [size =\"34641920\"]\n  4 -> 19 [size =\"34641920\"]\n  4 -> 20 [size =\"34641920\"]\n  4 -> 23 [size =\"34641920\"]\n  4 -> 24 [size =\"34641920\"]\n  4 -> 26 [size =\"34641920\"]\n  4 -> 28 [size =\"34641920\"]\n  4 -> 28 [size =\"34641920\"]\n  5 [size=\"161078613\", alpha=\"0.14\", expect_size=\"48323584\"] \n  5 -> 17 [size =\"48323584\"]\n  5 -> 18 [size =\"48323584\"]\n  5 -> 19 [size =\"48323584\"]\n  5 -> 20 [size =\"48323584\"]\n  5 -> 28 [size =\"48323584\"]\n  6 [size=\"144196267\", alpha=\"0.15\", expect_size=\"43258880\"] \n  6 -> 19 [size =\"43258880\"]\n  6 -> 20 [size =\"43258880\"]\n  6 -> 24 [size =\"43258880\"]\n  6 -> 27 [size =\"43258880\"]\n  6 -> 28 [size =\"43258880\"]\n  7 [size=\"20674560\", alpha=\"0.00\", expect_size=\"6202368\"] \n  7 -> 16 [size =\"6202368\"]\n  7 -> 17 [size =\"6202368\"]\n  7 -> 19 [size =\"6202368\"]\n  7 -> 20 [size =\"6202368\"]\n  7 -> 21 [size =\"6202368\"]\n  7 -> 23 [size =\"6202368\"]\n  7 -> 27 [size =\"6202368\"]\n  7 -> 28 [size =\"6202368\"]\n  8 [size=\"110888960\", alpha=\"0.12\", expect_size=\"33266688\"] \n  8 -> 16 [size =\"33266688\"]\n  8 -> 17 [size =\"33266688\"]\n  8 -> 18 [size =\"33266688\"]\n  8 -> 19 [size =\"33266688\"]\n  8 -> 23 [size =\"33266688\"]\n  8 -> 26 [size =\"33266688\"]\n  8 -> 27 [size =\"33266688\"]\n  8 -> 28 [size =\"33266688\"]\n  9 [size=\"84213760\", alpha=\"0.03\", expect_size=\"25264128\"] \n  9 -> 17 [size =\"25264128\"]\n  9 -> 18 [size =\"25264128\"]\n  9 -> 21 [size =\"25264128\"]\n  9 -> 23 [size =\"25264128\"]\n  9 -> 25 [size =\"25264128\"]\n  9 -> 26 [size =\"25264128\"]\n  9 -> 27 [size =\"25264128\"]\n  9 -> 28 [size =\"25264128\"]\n  10 [size=\"74181973\", alpha=\"0.18\", expect_size=\"22254592\"] \n  10 -> 17 [size =\"22254592\"]\n  10 -> 19 [size =\"22254592\"]\n  10 -> 23 [size =\"22254592\"]\n  10 -> 23 [size =\"22254592\"]\n  10 -> 26 [size =\"22254592\"]\n  10 -> 26 [size =\"22254592\"]\n  10 -> 27 [size =\"22254592\"]\n  10 -> 28 [size =\"22254592\"]\n  11 [size=\"53046613\", alpha=\"0.05\", expect_size=\"15913984\"] \n  11 -> 16 [size =\"15913984\"]\n  11 -> 17 [size =\"15913984\"]\n  11 -> 18 [size =\"15913984\"]\n  11 -> 22 [size =\"15913984\"]\n  11 -> 25 [size =\"15913984\"]\n  11 -> 26 [size =\"15913984\"]\n  11 -> 27 [size =\"15913984\"]\n  12 [size=\"109400747\", alpha=\"0.07\", expect_size=\"32820224\"] \n  12 -> 16 [size =\"32820224\"]\n  12 -> 17 [size =\"32820224\"]\n  12 -> 18 [size =\"32820224\"]\n  12 -> 21 [size =\"32820224\"]\n  13 [size=\"160692907\", alpha=\"0.04\", expect_size=\"48207872\"] \n  13 -> 16 [size =\"48207872\"]\n  13 -> 18 [size =\"48207872\"]\n  13 -> 18 [size =\"48207872\"]\n  13 -> 26 [size =\"48207872\"]\n  13 -> 28 [size =\"48207872\"]\n  14 [size=\"108066133\", alpha=\"0.03\", expect_size=\"32419840\"] \n  14 -> 17 [size =\"32419840\"]\n  14 -> 20 [size =\"32419840\"]\n  14 -> 21 [size =\"32419840\"]\n  14 -> 24 [size =\"32419840\"]\n  14 -> 25 [size =\"32419840\"]\n  14 -> 26 [size =\"32419840\"]\n  14 -> 28 [size =\"32419840\"]\n  15 [size=\"85418667\", alpha=\"0.09\", expect_size=\"25625600\"] \n  15 -> 16 [size =\"25625600\"]\n  15 -> 17 [size =\"25625600\"]\n  15 -> 18 [size =\"25625600\"]\n  15 -> 19 [size =\"25625600\"]\n  15 -> 21 [size =\"25625600\"]\n  15 -> 24 [size =\"25625600\"]\n  15 -> 26 [size =\"25625600\"]\n  15 -> 27 [size =\"25625600\"]\n  15 -> 28 [size =\"25625600\"]\n  16 [size=\"39536640\", alpha=\"0.09\", expect_size=\"11860992\"] \n  16 -> 29 [size =\"11860992\"]\n  16 -> 33 [size =\"11860992\"]\n  16 -> 35 [size =\"11860992\"]\n  16 -> 36 [size =\"11860992\"]\n  16 -> 41 [size =\"11860992\"]\n  16 -> 42 [size =\"11860992\"]\n  17 [size=\"154978987\", alpha=\"0.14\", expect_size=\"46493696\"] \n  17 -> 30 [size =\"46493696\"]\n  17 -> 33 [size =\"46493696\"]\n  17 -> 35 [size =\"46493696\"]\n  17 -> 36 [size =\"46493696\"]\n  17 -> 37 [size =\"46493696\"]\n  17 -> 39 [size =\"46493696\"]\n  17 -> 40 [size =\"46493696\"]\n  17 -> 41 [size =\"46493696\"]\n  17 -> 42 [size =\"46493696\"]\n  18 [size=\"155129173\", alpha=\"0.10\", expect_size=\"46538752\"] \n  18 -> 34 [size =\"46538752\"]\n  18 -> 36 [size =\"46538752\"]\n  18 -> 37 [size =\"46538752\"]\n  18 -> 38 [size =\"46538752\"]\n  18 -> 40 [size =\"46538752\"]\n  18 -> 41 [size =\"46538752\"]\n  18 -> 42 [size =\"46538752\"]\n  19 [size=\"94388907\", alpha=\"0.15\", expect_size=\"28316672\"] \n  19 -> 31 [size =\"28316672\"]\n  19 -> 34 [size =\"28316672\"]\n  19 -> 35 [size =\"28316672\"]\n  19 -> 36 [size =\"28316672\"]\n  19 -> 38 [size =\"28316672\"]\n  19 -> 39 [size =\"28316672\"]\n  19 -> 41 [size =\"28316672\"]\n  19 -> 42 [size =\"28316672\"]\n  20 [size=\"117183147\", alpha=\"0.06\", expect_size=\"35154944\"] \n  20 -> 30 [size =\"35154944\"]\n  20 -> 31 [size =\"35154944\"]\n  20 -> 34 [size =\"35154944\"]\n  20 -> 35 [size =\"35154944\"]\n  20 -> 36 [size =\"35154944\"]\n  20 -> 37 [size =\"35154944\"]\n  20 -> 39 [size =\"35154944\"]\n  20 -> 41 [size =\"35154944\"]\n  20 -> 42 [size =\"35154944\"]\n  21 [size=\"102584320\", alpha=\"0.19\", expect_size=\"30775296\"] \n  21 -> 31 [size =\"30775296\"]\n  21 -> 32 [size =\"30775296\"]\n  21 -> 35 [size =\"30775296\"]\n  21 -> 36 [size =\"30775296\"]\n  21 -> 37 [size =\"30775296\"]\n  21 -> 39 [size =\"30775296\"]\n  21 -> 41 [size =\"30775296\"]\n  21 -> 41 [size =\"30775296\"]\n  21 -> 42 [size =\"30775296\"]\n  22 [size=\"141025280\", alpha=\"0.09\", expect_size=\"42307584\"] \n  22 -> 29 [size =\"42307584\"]\n  22 -> 31 [size =\"42307584\"]\n  22 -> 33 [size =\"42307584\"]\n  22 -> 35 [size =\"42307584\"]\n  22 -> 36 [size =\"42307584\"]\n  22 -> 41 [size =\"42307584\"]\n  22 -> 41 [size =\"42307584\"]\n  22 -> 42 [size =\"42307584\"]\n  23 [size=\"39178240\", alpha=\"0.05\", expect_size=\"11753472\"] \n  23 -> 29 [size =\"11753472\"]\n  23 -> 30 [size =\"11753472\"]\n  23 -> 31 [size =\"11753472\"]\n  23 -> 35 [size =\"11753472\"]\n  23 -> 37 [size =\"11753472\"]\n  23 -> 41 [size =\"11753472\"]\n  23 -> 42 [size =\"11753472\"]\n  24 [size=\"72908800\", alpha=\"0.13\", expect_size=\"21872640\"] \n  24 -> 29 [size =\"21872640\"]\n  24 -> 31 [size =\"21872640\"]\n  24 -> 31 [size =\"21872640\"]\n  24 -> 32 [size =\"21872640\"]\n  24 -> 33 [size =\"21872640\"]\n  24 -> 34 [size =\"21872640\"]\n  24 -> 35 [size =\"21872640\"]\n  24 -> 36 [size =\"21872640\"]\n  24 -> 37 [size =\"21872640\"]\n  24 -> 38 [size =\"21872640\"]\n  24 -> 39 [size =\"21872640\"]\n  24 -> 40 [size =\"21872640\"]\n  25 [size=\"99966293\", alpha=\"0.19\", expect_size=\"29989888\"] \n  25 -> 31 [size =\"29989888\"]\n  25 -> 32 [size =\"29989888\"]\n  25 -> 34 [size =\"29989888\"]\n  25 -> 35 [size =\"29989888\"]\n  25 -> 36 [size =\"29989888\"]\n  25 -> 37 [size =\"29989888\"]\n  25 -> 40 [size =\"29989888\"]\n  26 [size=\"167318187\", alpha=\"0.02\", expect_size=\"50195456\"] \n  26 -> 29 [size =\"50195456\"]\n  26 -> 32 [size =\"50195456\"]\n  26 -> 34 [size =\"50195456\"]\n  26 -> 35 [size =\"50195456\"]\n  26 -> 37 [size =\"50195456\"]\n  26 -> 39 [size =\"50195456\"]\n  26 -> 40 [size =\"50195456\"]\n  26 -> 41 [size =\"50195456\"]\n  26 -> 42 [size =\"50195456\"]\n  27 [size=\"83582293\", alpha=\"0.05\", expect_size=\"25074688\"] \n  27 -> 32 [size =\"25074688\"]\n  27 -> 33 [size =\"25074688\"]\n  27 -> 35 [size =\"25074688\"]\n  27 -> 36 [size =\"25074688\"]\n  27 -> 37 [size =\"25074688\"]\n  27 -> 40 [size =\"25074688\"]\n  27 -> 42 [size =\"25074688\"]\n  28 [size=\"38239573\", alpha=\"0.20\", expect_size=\"11471872\"] \n  28 -> 29 [size =\"11471872\"]\n  28 -> 30 [size =\"11471872\"]\n  28 -> 33 [size =\"11471872\"]\n  28 -> 36 [size =\"11471872\"]\n  28 -> 37 [size =\"11471872\"]\n  28 -> 38 [size =\"11471872\"]\n  28 -> 39 [size =\"11471872\"]\n  28 -> 42 [size =\"11471872\"]\n  29 [size=\"116473173\", alpha=\"0.03\", expect_size=\"34941952\"] \n  29 -> 43 [size =\"34941952\"]\n  29 -> 45 [size =\"34941952\"]\n  30 [size=\"74468693\", alpha=\"0.14\", expect_size=\"22340608\"] \n  30 -> 43 [size =\"22340608\"]\n  30 -> 45 [size =\"22340608\"]\n  31 [size=\"121333760\", alpha=\"0.09\", expect_size=\"36400128\"] \n  31 -> 44 [size =\"36400128\"]\n  32 [size=\"112954027\", alpha=\"0.15\", expect_size=\"33886208\"] \n  32 -> 43 [size =\"33886208\"]\n  32 -> 44 [size =\"33886208\"]\n  33 [size=\"26258773\", alpha=\"0.00\", expect_size=\"7877632\"] \n  33 -> 43 [size =\"7877632\"]\n  33 -> 44 [size =\"7877632\"]\n  34 [size=\"63252480\", alpha=\"0.17\", expect_size=\"18975744\"] \n  34 -> 43 [size =\"18975744\"]\n  34 -> 44 [size =\"18975744\"]\n  35 [size=\"164648960\", alpha=\"0.02\", expect_size=\"49394688\"] \n  35 -> 43 [size =\"49394688\"]\n  35 -> 44 [size =\"49394688\"]\n  36 [size=\"159474347\", alpha=\"0.10\", expect_size=\"47842304\"] \n  36 -> 43 [size =\"47842304\"]\n  37 [size=\"174455467\", alpha=\"0.15\", expect_size=\"52336640\"] \n  37 -> 43 [size =\"52336640\"]\n  38 [size=\"55504213\", alpha=\"0.18\", expect_size=\"16651264\"] \n  38 -> 43 [size =\"16651264\"]\n  38 -> 44 [size =\"16651264\"]\n  38 -> 45 [size =\"16651264\"]\n  39 [size=\"53319680\", alpha=\"0.11\", expect_size=\"15995904\"] \n  39 -> 43 [size =\"15995904\"]\n  39 -> 44 [size =\"15995904\"]\n  39 -> 45 [size =\"15995904\"]\n  40 [size=\"77356373\", alpha=\"0.16\", expect_size=\"23206912\"] \n  40 -> 43 [size =\"23206912\"]\n  41 [size=\"27037013\", alpha=\"0.13\", expect_size=\"8111104\"] \n  41 -> 43 [size =\"8111104\"]\n  41 -> 44 [size =\"8111104\"]\n  42 [size=\"95218347\", alpha=\"0.04\", expect_size=\"28565504\"] \n  42 -> 43 [size =\"28565504\"]\n  42 -> 44 [size =\"28565504\"]\n  43 [size=\"59248640\", alpha=\"0.19\", expect_size=\"17774592\"] \n  44 [size=\"62351360\", alpha=\"0.01\", expect_size=\"18705408\"] \n  45 [size=\"37826560\", alpha=\"0.13\", expect_size=\"11347968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31571968\", alpha=\"0.06\", expect_size=\"15785984\"] \n  1 -> 7 [size =\"15785984\"]\n  1 -> 9 [size =\"15785984\"]\n  1 -> 10 [size =\"15785984\"]\n  1 -> 11 [size =\"15785984\"]\n  1 -> 12 [size =\"15785984\"]\n  2 [size=\"28520448\", alpha=\"0.05\", expect_size=\"14260224\"] \n  2 -> 7 [size =\"14260224\"]\n  2 -> 8 [size =\"14260224\"]\n  2 -> 11 [size =\"14260224\"]\n  2 -> 12 [size =\"14260224\"]\n  2 -> 12 [size =\"14260224\"]\n  3 [size=\"52684800\", alpha=\"0.06\", expect_size=\"26342400\"] \n  3 -> 7 [size =\"26342400\"]\n  3 -> 12 [size =\"26342400\"]\n  4 [size=\"85260288\", alpha=\"0.03\", expect_size=\"42630144\"] \n  4 -> 7 [size =\"42630144\"]\n  4 -> 11 [size =\"42630144\"]\n  5 [size=\"28706816\", alpha=\"0.09\", expect_size=\"14353408\"] \n  5 -> 7 [size =\"14353408\"]\n  5 -> 12 [size =\"14353408\"]\n  6 [size=\"57368576\", alpha=\"0.11\", expect_size=\"28684288\"] \n  6 -> 10 [size =\"28684288\"]\n  6 -> 12 [size =\"28684288\"]\n  7 [size=\"78176256\", alpha=\"0.12\", expect_size=\"39088128\"] \n  7 -> 13 [size =\"39088128\"]\n  7 -> 16 [size =\"39088128\"]\n  7 -> 17 [size =\"39088128\"]\n  8 [size=\"93253632\", alpha=\"0.05\", expect_size=\"46626816\"] \n  8 -> 13 [size =\"46626816\"]\n  8 -> 17 [size =\"46626816\"]\n  9 [size=\"60925952\", alpha=\"0.15\", expect_size=\"30462976\"] \n  9 -> 14 [size =\"30462976\"]\n  9 -> 15 [size =\"30462976\"]\n  9 -> 16 [size =\"30462976\"]\n  10 [size=\"56553472\", alpha=\"0.07\", expect_size=\"28276736\"] \n  10 -> 13 [size =\"28276736\"]\n  10 -> 17 [size =\"28276736\"]\n  11 [size=\"51394560\", alpha=\"0.17\", expect_size=\"25697280\"] \n  12 [size=\"80199680\", alpha=\"0.06\", expect_size=\"40099840\"] \n  12 -> 13 [size =\"40099840\"]\n  12 -> 15 [size =\"40099840\"]\n  12 -> 17 [size =\"40099840\"]\n  13 [size=\"101767168\", alpha=\"0.12\", expect_size=\"50883584\"] \n  13 -> 19 [size =\"50883584\"]\n  13 -> 20 [size =\"50883584\"]\n  14 [size=\"33642496\", alpha=\"0.04\", expect_size=\"16821248\"] \n  14 -> 18 [size =\"16821248\"]\n  14 -> 22 [size =\"16821248\"]\n  14 -> 23 [size =\"16821248\"]\n  15 [size=\"46022656\", alpha=\"0.11\", expect_size=\"23011328\"] \n  15 -> 19 [size =\"23011328\"]\n  15 -> 23 [size =\"23011328\"]\n  15 -> 23 [size =\"23011328\"]\n  16 [size=\"86384640\", alpha=\"0.20\", expect_size=\"43192320\"] \n  16 -> 18 [size =\"43192320\"]\n  16 -> 21 [size =\"43192320\"]\n  16 -> 22 [size =\"43192320\"]\n  16 -> 23 [size =\"43192320\"]\n  17 [size=\"44308480\", alpha=\"0.10\", expect_size=\"22154240\"] \n  17 -> 22 [size =\"22154240\"]\n  18 [size=\"101955584\", alpha=\"0.08\", expect_size=\"50977792\"] \n  18 -> 25 [size =\"50977792\"]\n  18 -> 26 [size =\"50977792\"]\n  18 -> 27 [size =\"50977792\"]\n  18 -> 28 [size =\"50977792\"]\n  18 -> 30 [size =\"50977792\"]\n  18 -> 31 [size =\"50977792\"]\n  19 [size=\"32466944\", alpha=\"0.13\", expect_size=\"16233472\"] \n  19 -> 26 [size =\"16233472\"]\n  19 -> 29 [size =\"16233472\"]\n  19 -> 30 [size =\"16233472\"]\n  19 -> 31 [size =\"16233472\"]\n  20 [size=\"10711040\", alpha=\"0.04\", expect_size=\"5355520\"] \n  20 -> 24 [size =\"5355520\"]\n  20 -> 26 [size =\"5355520\"]\n  20 -> 29 [size =\"5355520\"]\n  20 -> 30 [size =\"5355520\"]\n  21 [size=\"43728896\", alpha=\"0.19\", expect_size=\"21864448\"] \n  21 -> 24 [size =\"21864448\"]\n  21 -> 25 [size =\"21864448\"]\n  21 -> 26 [size =\"21864448\"]\n  21 -> 28 [size =\"21864448\"]\n  21 -> 29 [size =\"21864448\"]\n  21 -> 30 [size =\"21864448\"]\n  21 -> 31 [size =\"21864448\"]\n  22 [size=\"29167616\", alpha=\"0.18\", expect_size=\"14583808\"] \n  22 -> 26 [size =\"14583808\"]\n  22 -> 28 [size =\"14583808\"]\n  22 -> 29 [size =\"14583808\"]\n  22 -> 30 [size =\"14583808\"]\n  22 -> 31 [size =\"14583808\"]\n  23 [size=\"58847232\", alpha=\"0.06\", expect_size=\"29423616\"] \n  23 -> 26 [size =\"29423616\"]\n  23 -> 29 [size =\"29423616\"]\n  23 -> 29 [size =\"29423616\"]\n  24 [size=\"20262912\", alpha=\"0.10\", expect_size=\"10131456\"] \n  24 -> 33 [size =\"10131456\"]\n  24 -> 35 [size =\"10131456\"]\n  25 [size=\"38010880\", alpha=\"0.18\", expect_size=\"19005440\"] \n  25 -> 33 [size =\"19005440\"]\n  25 -> 35 [size =\"19005440\"]\n  26 [size=\"88393728\", alpha=\"0.15\", expect_size=\"44196864\"] \n  26 -> 32 [size =\"44196864\"]\n  26 -> 33 [size =\"44196864\"]\n  27 [size=\"88285184\", alpha=\"0.07\", expect_size=\"44142592\"] \n  27 -> 33 [size =\"44142592\"]\n  27 -> 35 [size =\"44142592\"]\n  28 [size=\"42080256\", alpha=\"0.17\", expect_size=\"21040128\"] \n  28 -> 33 [size =\"21040128\"]\n  29 [size=\"79489024\", alpha=\"0.17\", expect_size=\"39744512\"] \n  30 [size=\"46729216\", alpha=\"0.07\", expect_size=\"23364608\"] \n  30 -> 33 [size =\"23364608\"]\n  31 [size=\"64827392\", alpha=\"0.06\", expect_size=\"32413696\"] \n  31 -> 33 [size =\"32413696\"]\n  31 -> 34 [size =\"32413696\"]\n  31 -> 35 [size =\"32413696\"]\n  32 [size=\"60495872\", alpha=\"0.19\", expect_size=\"30247936\"] \n  32 -> 36 [size =\"30247936\"]\n  32 -> 38 [size =\"30247936\"]\n  32 -> 41 [size =\"30247936\"]\n  33 [size=\"51771392\", alpha=\"0.12\", expect_size=\"25885696\"] \n  33 -> 38 [size =\"25885696\"]\n  33 -> 41 [size =\"25885696\"]\n  34 [size=\"80857088\", alpha=\"0.10\", expect_size=\"40428544\"] \n  34 -> 36 [size =\"40428544\"]\n  34 -> 37 [size =\"40428544\"]\n  34 -> 39 [size =\"40428544\"]\n  34 -> 41 [size =\"40428544\"]\n  35 [size=\"33781760\", alpha=\"0.15\", expect_size=\"16890880\"] \n  35 -> 36 [size =\"16890880\"]\n  35 -> 38 [size =\"16890880\"]\n  35 -> 40 [size =\"16890880\"]\n  35 -> 41 [size =\"16890880\"]\n  36 [size=\"23142400\", alpha=\"0.16\", expect_size=\"11571200\"] \n  36 -> 42 [size =\"11571200\"]\n  36 -> 45 [size =\"11571200\"]\n  37 [size=\"95821824\", alpha=\"0.05\", expect_size=\"47910912\"] \n  37 -> 42 [size =\"47910912\"]\n  37 -> 43 [size =\"47910912\"]\n  37 -> 45 [size =\"47910912\"]\n  38 [size=\"36395008\", alpha=\"0.13\", expect_size=\"18197504\"] \n  38 -> 42 [size =\"18197504\"]\n  38 -> 43 [size =\"18197504\"]\n  38 -> 45 [size =\"18197504\"]\n  39 [size=\"22003712\", alpha=\"0.05\", expect_size=\"11001856\"] \n  39 -> 42 [size =\"11001856\"]\n  39 -> 43 [size =\"11001856\"]\n  39 -> 44 [size =\"11001856\"]\n  39 -> 45 [size =\"11001856\"]\n  40 [size=\"103088128\", alpha=\"0.18\", expect_size=\"51544064\"] \n  40 -> 42 [size =\"51544064\"]\n  40 -> 43 [size =\"51544064\"]\n  40 -> 44 [size =\"51544064\"]\n  40 -> 45 [size =\"51544064\"]\n  41 [size=\"42600448\", alpha=\"0.17\", expect_size=\"21300224\"] \n  41 -> 42 [size =\"21300224\"]\n  41 -> 43 [size =\"21300224\"]\n  41 -> 44 [size =\"21300224\"]\n  41 -> 45 [size =\"21300224\"]\n  42 [size=\"70197248\", alpha=\"0.01\", expect_size=\"35098624\"] \n  43 [size=\"66846720\", alpha=\"0.15\", expect_size=\"33423360\"] \n  44 [size=\"29462528\", alpha=\"0.11\", expect_size=\"14731264\"] \n  45 [size=\"75573248\", alpha=\"0.12\", expect_size=\"37786624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40941568\", alpha=\"0.06\", expect_size=\"20470784\"] \n  1 -> 21 [size =\"20470784\"]\n  1 -> 22 [size =\"20470784\"]\n  1 -> 24 [size =\"20470784\"]\n  1 -> 28 [size =\"20470784\"]\n  2 [size=\"61143040\", alpha=\"0.03\", expect_size=\"30571520\"] \n  2 -> 20 [size =\"30571520\"]\n  2 -> 21 [size =\"30571520\"]\n  2 -> 26 [size =\"30571520\"]\n  3 [size=\"41252864\", alpha=\"0.15\", expect_size=\"20626432\"] \n  3 -> 19 [size =\"20626432\"]\n  3 -> 20 [size =\"20626432\"]\n  3 -> 21 [size =\"20626432\"]\n  3 -> 22 [size =\"20626432\"]\n  3 -> 26 [size =\"20626432\"]\n  4 [size=\"89245696\", alpha=\"0.14\", expect_size=\"44622848\"] \n  4 -> 18 [size =\"44622848\"]\n  4 -> 19 [size =\"44622848\"]\n  4 -> 20 [size =\"44622848\"]\n  4 -> 21 [size =\"44622848\"]\n  4 -> 22 [size =\"44622848\"]\n  4 -> 29 [size =\"44622848\"]\n  4 -> 30 [size =\"44622848\"]\n  5 [size=\"24125440\", alpha=\"0.20\", expect_size=\"12062720\"] \n  5 -> 20 [size =\"12062720\"]\n  5 -> 25 [size =\"12062720\"]\n  5 -> 26 [size =\"12062720\"]\n  5 -> 28 [size =\"12062720\"]\n  6 [size=\"100980736\", alpha=\"0.19\", expect_size=\"50490368\"] \n  6 -> 22 [size =\"50490368\"]\n  6 -> 23 [size =\"50490368\"]\n  6 -> 24 [size =\"50490368\"]\n  6 -> 26 [size =\"50490368\"]\n  6 -> 28 [size =\"50490368\"]\n  7 [size=\"42420224\", alpha=\"0.09\", expect_size=\"21210112\"] \n  7 -> 24 [size =\"21210112\"]\n  7 -> 28 [size =\"21210112\"]\n  8 [size=\"12273664\", alpha=\"0.18\", expect_size=\"6136832\"] \n  8 -> 24 [size =\"6136832\"]\n  8 -> 27 [size =\"6136832\"]\n  8 -> 30 [size =\"6136832\"]\n  9 [size=\"39118848\", alpha=\"0.12\", expect_size=\"19559424\"] \n  9 -> 21 [size =\"19559424\"]\n  9 -> 22 [size =\"19559424\"]\n  9 -> 28 [size =\"19559424\"]\n  9 -> 30 [size =\"19559424\"]\n  10 [size=\"26939392\", alpha=\"0.02\", expect_size=\"13469696\"] \n  10 -> 21 [size =\"13469696\"]\n  10 -> 22 [size =\"13469696\"]\n  10 -> 28 [size =\"13469696\"]\n  10 -> 30 [size =\"13469696\"]\n  11 [size=\"88045568\", alpha=\"0.16\", expect_size=\"44022784\"] \n  11 -> 28 [size =\"44022784\"]\n  11 -> 29 [size =\"44022784\"]\n  12 [size=\"22370304\", alpha=\"0.13\", expect_size=\"11185152\"] \n  12 -> 19 [size =\"11185152\"]\n  12 -> 25 [size =\"11185152\"]\n  12 -> 28 [size =\"11185152\"]\n  12 -> 30 [size =\"11185152\"]\n  13 [size=\"38117376\", alpha=\"0.13\", expect_size=\"19058688\"] \n  13 -> 19 [size =\"19058688\"]\n  13 -> 22 [size =\"19058688\"]\n  13 -> 25 [size =\"19058688\"]\n  13 -> 28 [size =\"19058688\"]\n  14 [size=\"16709632\", alpha=\"0.02\", expect_size=\"8354816\"] \n  14 -> 21 [size =\"8354816\"]\n  14 -> 25 [size =\"8354816\"]\n  14 -> 28 [size =\"8354816\"]\n  14 -> 30 [size =\"8354816\"]\n  15 [size=\"82550784\", alpha=\"0.18\", expect_size=\"41275392\"] \n  15 -> 22 [size =\"41275392\"]\n  15 -> 25 [size =\"41275392\"]\n  15 -> 30 [size =\"41275392\"]\n  16 [size=\"81152000\", alpha=\"0.15\", expect_size=\"40576000\"] \n  16 -> 20 [size =\"40576000\"]\n  16 -> 22 [size =\"40576000\"]\n  16 -> 24 [size =\"40576000\"]\n  16 -> 25 [size =\"40576000\"]\n  16 -> 27 [size =\"40576000\"]\n  17 [size=\"76998656\", alpha=\"0.20\", expect_size=\"38499328\"] \n  17 -> 21 [size =\"38499328\"]\n  17 -> 22 [size =\"38499328\"]\n  17 -> 23 [size =\"38499328\"]\n  17 -> 25 [size =\"38499328\"]\n  17 -> 29 [size =\"38499328\"]\n  17 -> 30 [size =\"38499328\"]\n  18 [size=\"22804480\", alpha=\"0.12\", expect_size=\"11402240\"] \n  18 -> 31 [size =\"11402240\"]\n  18 -> 32 [size =\"11402240\"]\n  18 -> 33 [size =\"11402240\"]\n  18 -> 42 [size =\"11402240\"]\n  19 [size=\"13729792\", alpha=\"0.13\", expect_size=\"6864896\"] \n  19 -> 31 [size =\"6864896\"]\n  20 [size=\"72136704\", alpha=\"0.02\", expect_size=\"36068352\"] \n  20 -> 31 [size =\"36068352\"]\n  20 -> 33 [size =\"36068352\"]\n  20 -> 36 [size =\"36068352\"]\n  20 -> 43 [size =\"36068352\"]\n  21 [size=\"81008640\", alpha=\"0.19\", expect_size=\"40504320\"] \n  21 -> 31 [size =\"40504320\"]\n  21 -> 32 [size =\"40504320\"]\n  21 -> 33 [size =\"40504320\"]\n  21 -> 34 [size =\"40504320\"]\n  21 -> 37 [size =\"40504320\"]\n  21 -> 42 [size =\"40504320\"]\n  22 [size=\"63768576\", alpha=\"0.06\", expect_size=\"31884288\"] \n  22 -> 34 [size =\"31884288\"]\n  22 -> 36 [size =\"31884288\"]\n  22 -> 37 [size =\"31884288\"]\n  22 -> 38 [size =\"31884288\"]\n  22 -> 40 [size =\"31884288\"]\n  22 -> 42 [size =\"31884288\"]\n  23 [size=\"30818304\", alpha=\"0.19\", expect_size=\"15409152\"] \n  23 -> 37 [size =\"15409152\"]\n  23 -> 42 [size =\"15409152\"]\n  24 [size=\"93546496\", alpha=\"0.09\", expect_size=\"46773248\"] \n  24 -> 34 [size =\"46773248\"]\n  24 -> 36 [size =\"46773248\"]\n  24 -> 39 [size =\"46773248\"]\n  24 -> 41 [size =\"46773248\"]\n  25 [size=\"102414336\", alpha=\"0.02\", expect_size=\"51207168\"] \n  25 -> 37 [size =\"51207168\"]\n  25 -> 39 [size =\"51207168\"]\n  25 -> 40 [size =\"51207168\"]\n  26 [size=\"94269440\", alpha=\"0.15\", expect_size=\"47134720\"] \n  26 -> 31 [size =\"47134720\"]\n  26 -> 32 [size =\"47134720\"]\n  26 -> 33 [size =\"47134720\"]\n  26 -> 37 [size =\"47134720\"]\n  26 -> 38 [size =\"47134720\"]\n  26 -> 39 [size =\"47134720\"]\n  26 -> 40 [size =\"47134720\"]\n  26 -> 41 [size =\"47134720\"]\n  26 -> 42 [size =\"47134720\"]\n  27 [size=\"70709248\", alpha=\"0.14\", expect_size=\"35354624\"] \n  27 -> 32 [size =\"35354624\"]\n  27 -> 36 [size =\"35354624\"]\n  27 -> 41 [size =\"35354624\"]\n  28 [size=\"69613568\", alpha=\"0.13\", expect_size=\"34806784\"] \n  28 -> 32 [size =\"34806784\"]\n  28 -> 34 [size =\"34806784\"]\n  28 -> 35 [size =\"34806784\"]\n  28 -> 36 [size =\"34806784\"]\n  28 -> 39 [size =\"34806784\"]\n  29 [size=\"34172928\", alpha=\"0.18\", expect_size=\"17086464\"] \n  29 -> 32 [size =\"17086464\"]\n  29 -> 33 [size =\"17086464\"]\n  29 -> 36 [size =\"17086464\"]\n  29 -> 39 [size =\"17086464\"]\n  29 -> 40 [size =\"17086464\"]\n  29 -> 41 [size =\"17086464\"]\n  30 [size=\"93519872\", alpha=\"0.07\", expect_size=\"46759936\"] \n  30 -> 31 [size =\"46759936\"]\n  30 -> 32 [size =\"46759936\"]\n  30 -> 33 [size =\"46759936\"]\n  30 -> 39 [size =\"46759936\"]\n  30 -> 42 [size =\"46759936\"]\n  31 [size=\"104617984\", alpha=\"0.13\", expect_size=\"52308992\"] \n  31 -> 44 [size =\"52308992\"]\n  32 [size=\"97923072\", alpha=\"0.01\", expect_size=\"48961536\"] \n  32 -> 44 [size =\"48961536\"]\n  33 [size=\"29722624\", alpha=\"0.14\", expect_size=\"14861312\"] \n  34 [size=\"25155584\", alpha=\"0.09\", expect_size=\"12577792\"] \n  35 [size=\"68610048\", alpha=\"0.20\", expect_size=\"34305024\"] \n  35 -> 44 [size =\"34305024\"]\n  36 [size=\"79355904\", alpha=\"0.05\", expect_size=\"39677952\"] \n  36 -> 44 [size =\"39677952\"]\n  37 [size=\"53518336\", alpha=\"0.05\", expect_size=\"26759168\"] \n  37 -> 44 [size =\"26759168\"]\n  38 [size=\"23031808\", alpha=\"0.07\", expect_size=\"11515904\"] \n  38 -> 44 [size =\"11515904\"]\n  39 [size=\"84058112\", alpha=\"0.09\", expect_size=\"42029056\"] \n  40 [size=\"76486656\", alpha=\"0.05\", expect_size=\"38243328\"] \n  41 [size=\"16771072\", alpha=\"0.16\", expect_size=\"8385536\"] \n  41 -> 45 [size =\"8385536\"]\n  42 [size=\"76845056\", alpha=\"0.18\", expect_size=\"38422528\"] \n  42 -> 45 [size =\"38422528\"]\n  43 [size=\"79851520\", alpha=\"0.04\", expect_size=\"39925760\"] \n  44 [size=\"53417984\", alpha=\"0.08\", expect_size=\"26708992\"] \n  45 [size=\"98146304\", alpha=\"0.12\", expect_size=\"49073152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52275200\", alpha=\"0.17\", expect_size=\"26137600\"] \n  1 -> 8 [size =\"26137600\"]\n  2 [size=\"42162176\", alpha=\"0.09\", expect_size=\"21081088\"] \n  2 -> 6 [size =\"21081088\"]\n  2 -> 9 [size =\"21081088\"]\n  3 [size=\"96372736\", alpha=\"0.00\", expect_size=\"48186368\"] \n  3 -> 6 [size =\"48186368\"]\n  3 -> 8 [size =\"48186368\"]\n  3 -> 10 [size =\"48186368\"]\n  4 [size=\"43085824\", alpha=\"0.06\", expect_size=\"21542912\"] \n  4 -> 6 [size =\"21542912\"]\n  4 -> 7 [size =\"21542912\"]\n  5 [size=\"55601152\", alpha=\"0.05\", expect_size=\"27800576\"] \n  5 -> 10 [size =\"27800576\"]\n  6 [size=\"102623232\", alpha=\"0.09\", expect_size=\"51311616\"] \n  6 -> 11 [size =\"51311616\"]\n  6 -> 12 [size =\"51311616\"]\n  6 -> 13 [size =\"51311616\"]\n  6 -> 14 [size =\"51311616\"]\n  7 [size=\"62478336\", alpha=\"0.10\", expect_size=\"31239168\"] \n  7 -> 13 [size =\"31239168\"]\n  7 -> 15 [size =\"31239168\"]\n  8 [size=\"22433792\", alpha=\"0.11\", expect_size=\"11216896\"] \n  8 -> 11 [size =\"11216896\"]\n  8 -> 14 [size =\"11216896\"]\n  8 -> 15 [size =\"11216896\"]\n  8 -> 16 [size =\"11216896\"]\n  9 [size=\"51636224\", alpha=\"0.17\", expect_size=\"25818112\"] \n  9 -> 16 [size =\"25818112\"]\n  10 [size=\"22347776\", alpha=\"0.08\", expect_size=\"11173888\"] \n  10 -> 12 [size =\"11173888\"]\n  10 -> 13 [size =\"11173888\"]\n  10 -> 14 [size =\"11173888\"]\n  11 [size=\"81377280\", alpha=\"0.04\", expect_size=\"40688640\"] \n  11 -> 17 [size =\"40688640\"]\n  11 -> 18 [size =\"40688640\"]\n  12 [size=\"66598912\", alpha=\"0.06\", expect_size=\"33299456\"] \n  12 -> 17 [size =\"33299456\"]\n  13 [size=\"13402112\", alpha=\"0.08\", expect_size=\"6701056\"] \n  13 -> 21 [size =\"6701056\"]\n  14 [size=\"13936640\", alpha=\"0.06\", expect_size=\"6968320\"] \n  15 [size=\"40378368\", alpha=\"0.17\", expect_size=\"20189184\"] \n  15 -> 17 [size =\"20189184\"]\n  15 -> 18 [size =\"20189184\"]\n  16 [size=\"63143936\", alpha=\"0.04\", expect_size=\"31571968\"] \n  16 -> 18 [size =\"31571968\"]\n  16 -> 19 [size =\"31571968\"]\n  16 -> 20 [size =\"31571968\"]\n  17 [size=\"13533184\", alpha=\"0.10\", expect_size=\"6766592\"] \n  17 -> 23 [size =\"6766592\"]\n  17 -> 25 [size =\"6766592\"]\n  18 [size=\"59269120\", alpha=\"0.07\", expect_size=\"29634560\"] \n  18 -> 22 [size =\"29634560\"]\n  18 -> 23 [size =\"29634560\"]\n  18 -> 25 [size =\"29634560\"]\n  18 -> 26 [size =\"29634560\"]\n  18 -> 27 [size =\"29634560\"]\n  19 [size=\"18839552\", alpha=\"0.16\", expect_size=\"9419776\"] \n  19 -> 22 [size =\"9419776\"]\n  19 -> 27 [size =\"9419776\"]\n  20 [size=\"99848192\", alpha=\"0.17\", expect_size=\"49924096\"] \n  20 -> 27 [size =\"49924096\"]\n  21 [size=\"41658368\", alpha=\"0.08\", expect_size=\"20829184\"] \n  21 -> 23 [size =\"20829184\"]\n  21 -> 24 [size =\"20829184\"]\n  21 -> 25 [size =\"20829184\"]\n  22 [size=\"62255104\", alpha=\"0.05\", expect_size=\"31127552\"] \n  22 -> 28 [size =\"31127552\"]\n  22 -> 30 [size =\"31127552\"]\n  22 -> 33 [size =\"31127552\"]\n  23 [size=\"89849856\", alpha=\"0.01\", expect_size=\"44924928\"] \n  23 -> 30 [size =\"44924928\"]\n  23 -> 33 [size =\"44924928\"]\n  24 [size=\"33918976\", alpha=\"0.03\", expect_size=\"16959488\"] \n  24 -> 29 [size =\"16959488\"]\n  24 -> 31 [size =\"16959488\"]\n  25 [size=\"60022784\", alpha=\"0.15\", expect_size=\"30011392\"] \n  25 -> 28 [size =\"30011392\"]\n  25 -> 31 [size =\"30011392\"]\n  26 [size=\"44756992\", alpha=\"0.07\", expect_size=\"22378496\"] \n  26 -> 28 [size =\"22378496\"]\n  26 -> 32 [size =\"22378496\"]\n  27 [size=\"65499136\", alpha=\"0.10\", expect_size=\"32749568\"] \n  27 -> 30 [size =\"32749568\"]\n  27 -> 32 [size =\"32749568\"]\n  27 -> 33 [size =\"32749568\"]\n  28 [size=\"19304448\", alpha=\"0.15\", expect_size=\"9652224\"] \n  28 -> 38 [size =\"9652224\"]\n  28 -> 39 [size =\"9652224\"]\n  29 [size=\"52938752\", alpha=\"0.08\", expect_size=\"26469376\"] \n  29 -> 35 [size =\"26469376\"]\n  29 -> 36 [size =\"26469376\"]\n  29 -> 37 [size =\"26469376\"]\n  29 -> 38 [size =\"26469376\"]\n  30 [size=\"32325632\", alpha=\"0.05\", expect_size=\"16162816\"] \n  30 -> 35 [size =\"16162816\"]\n  30 -> 37 [size =\"16162816\"]\n  30 -> 37 [size =\"16162816\"]\n  31 [size=\"20080640\", alpha=\"0.16\", expect_size=\"10040320\"] \n  32 [size=\"57995264\", alpha=\"0.19\", expect_size=\"28997632\"] \n  32 -> 35 [size =\"28997632\"]\n  32 -> 36 [size =\"28997632\"]\n  32 -> 37 [size =\"28997632\"]\n  33 [size=\"83376128\", alpha=\"0.03\", expect_size=\"41688064\"] \n  33 -> 34 [size =\"41688064\"]\n  33 -> 35 [size =\"41688064\"]\n  33 -> 36 [size =\"41688064\"]\n  34 [size=\"87738368\", alpha=\"0.08\", expect_size=\"43869184\"] \n  34 -> 40 [size =\"43869184\"]\n  34 -> 42 [size =\"43869184\"]\n  34 -> 43 [size =\"43869184\"]\n  34 -> 44 [size =\"43869184\"]\n  35 [size=\"103686144\", alpha=\"0.19\", expect_size=\"51843072\"] \n  35 -> 40 [size =\"51843072\"]\n  35 -> 42 [size =\"51843072\"]\n  35 -> 45 [size =\"51843072\"]\n  36 [size=\"81960960\", alpha=\"0.01\", expect_size=\"40980480\"] \n  36 -> 43 [size =\"40980480\"]\n  37 [size=\"20330496\", alpha=\"0.04\", expect_size=\"10165248\"] \n  37 -> 41 [size =\"10165248\"]\n  37 -> 42 [size =\"10165248\"]\n  37 -> 43 [size =\"10165248\"]\n  37 -> 45 [size =\"10165248\"]\n  38 [size=\"65163264\", alpha=\"0.17\", expect_size=\"32581632\"] \n  39 [size=\"39661568\", alpha=\"0.11\", expect_size=\"19830784\"] \n  40 [size=\"79349760\", alpha=\"0.05\", expect_size=\"39674880\"] \n  41 [size=\"101722112\", alpha=\"0.06\", expect_size=\"50861056\"] \n  42 [size=\"83296256\", alpha=\"0.17\", expect_size=\"41648128\"] \n  43 [size=\"80183296\", alpha=\"0.05\", expect_size=\"40091648\"] \n  44 [size=\"95305728\", alpha=\"0.18\", expect_size=\"47652864\"] \n  45 [size=\"37738496\", alpha=\"0.02\", expect_size=\"18869248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15628288\", alpha=\"0.05\", expect_size=\"7814144\"] \n  1 -> 18 [size =\"7814144\"]\n  1 -> 20 [size =\"7814144\"]\n  1 -> 21 [size =\"7814144\"]\n  1 -> 22 [size =\"7814144\"]\n  1 -> 23 [size =\"7814144\"]\n  1 -> 24 [size =\"7814144\"]\n  2 [size=\"77643776\", alpha=\"0.20\", expect_size=\"38821888\"] \n  2 -> 17 [size =\"38821888\"]\n  2 -> 20 [size =\"38821888\"]\n  2 -> 22 [size =\"38821888\"]\n  2 -> 23 [size =\"38821888\"]\n  2 -> 23 [size =\"38821888\"]\n  2 -> 24 [size =\"38821888\"]\n  2 -> 25 [size =\"38821888\"]\n  2 -> 26 [size =\"38821888\"]\n  3 [size=\"91418624\", alpha=\"0.07\", expect_size=\"45709312\"] \n  3 -> 18 [size =\"45709312\"]\n  3 -> 19 [size =\"45709312\"]\n  3 -> 20 [size =\"45709312\"]\n  3 -> 21 [size =\"45709312\"]\n  3 -> 23 [size =\"45709312\"]\n  3 -> 24 [size =\"45709312\"]\n  3 -> 25 [size =\"45709312\"]\n  3 -> 26 [size =\"45709312\"]\n  4 [size=\"13703168\", alpha=\"0.01\", expect_size=\"6851584\"] \n  4 -> 17 [size =\"6851584\"]\n  4 -> 20 [size =\"6851584\"]\n  4 -> 21 [size =\"6851584\"]\n  4 -> 23 [size =\"6851584\"]\n  4 -> 24 [size =\"6851584\"]\n  4 -> 26 [size =\"6851584\"]\n  5 [size=\"44636160\", alpha=\"0.05\", expect_size=\"22318080\"] \n  5 -> 19 [size =\"22318080\"]\n  5 -> 20 [size =\"22318080\"]\n  5 -> 21 [size =\"22318080\"]\n  5 -> 22 [size =\"22318080\"]\n  5 -> 23 [size =\"22318080\"]\n  5 -> 26 [size =\"22318080\"]\n  6 [size=\"66672640\", alpha=\"0.13\", expect_size=\"33336320\"] \n  6 -> 19 [size =\"33336320\"]\n  6 -> 20 [size =\"33336320\"]\n  6 -> 25 [size =\"33336320\"]\n  7 [size=\"23373824\", alpha=\"0.17\", expect_size=\"11686912\"] \n  7 -> 17 [size =\"11686912\"]\n  7 -> 18 [size =\"11686912\"]\n  7 -> 19 [size =\"11686912\"]\n  7 -> 22 [size =\"11686912\"]\n  8 [size=\"97351680\", alpha=\"0.13\", expect_size=\"48675840\"] \n  8 -> 18 [size =\"48675840\"]\n  8 -> 19 [size =\"48675840\"]\n  8 -> 20 [size =\"48675840\"]\n  8 -> 23 [size =\"48675840\"]\n  9 [size=\"25073664\", alpha=\"0.11\", expect_size=\"12536832\"] \n  9 -> 17 [size =\"12536832\"]\n  9 -> 18 [size =\"12536832\"]\n  9 -> 21 [size =\"12536832\"]\n  10 [size=\"100616192\", alpha=\"0.05\", expect_size=\"50308096\"] \n  10 -> 17 [size =\"50308096\"]\n  10 -> 18 [size =\"50308096\"]\n  10 -> 19 [size =\"50308096\"]\n  10 -> 20 [size =\"50308096\"]\n  10 -> 22 [size =\"50308096\"]\n  10 -> 23 [size =\"50308096\"]\n  10 -> 24 [size =\"50308096\"]\n  10 -> 26 [size =\"50308096\"]\n  11 [size=\"93364224\", alpha=\"0.17\", expect_size=\"46682112\"] \n  11 -> 17 [size =\"46682112\"]\n  11 -> 18 [size =\"46682112\"]\n  11 -> 19 [size =\"46682112\"]\n  11 -> 26 [size =\"46682112\"]\n  12 [size=\"21870592\", alpha=\"0.18\", expect_size=\"10935296\"] \n  12 -> 17 [size =\"10935296\"]\n  12 -> 18 [size =\"10935296\"]\n  12 -> 19 [size =\"10935296\"]\n  13 [size=\"21745664\", alpha=\"0.11\", expect_size=\"10872832\"] \n  13 -> 17 [size =\"10872832\"]\n  13 -> 18 [size =\"10872832\"]\n  13 -> 19 [size =\"10872832\"]\n  13 -> 20 [size =\"10872832\"]\n  13 -> 21 [size =\"10872832\"]\n  13 -> 23 [size =\"10872832\"]\n  13 -> 24 [size =\"10872832\"]\n  14 [size=\"56686592\", alpha=\"0.19\", expect_size=\"28343296\"] \n  14 -> 17 [size =\"28343296\"]\n  14 -> 18 [size =\"28343296\"]\n  14 -> 23 [size =\"28343296\"]\n  15 [size=\"59185152\", alpha=\"0.16\", expect_size=\"29592576\"] \n  15 -> 18 [size =\"29592576\"]\n  15 -> 20 [size =\"29592576\"]\n  15 -> 21 [size =\"29592576\"]\n  15 -> 24 [size =\"29592576\"]\n  15 -> 26 [size =\"29592576\"]\n  16 [size=\"82460672\", alpha=\"0.08\", expect_size=\"41230336\"] \n  16 -> 17 [size =\"41230336\"]\n  16 -> 21 [size =\"41230336\"]\n  16 -> 23 [size =\"41230336\"]\n  16 -> 24 [size =\"41230336\"]\n  16 -> 25 [size =\"41230336\"]\n  17 [size=\"50327552\", alpha=\"0.13\", expect_size=\"25163776\"] \n  17 -> 27 [size =\"25163776\"]\n  17 -> 28 [size =\"25163776\"]\n  17 -> 32 [size =\"25163776\"]\n  17 -> 34 [size =\"25163776\"]\n  17 -> 36 [size =\"25163776\"]\n  17 -> 37 [size =\"25163776\"]\n  17 -> 39 [size =\"25163776\"]\n  17 -> 41 [size =\"25163776\"]\n  18 [size=\"34121728\", alpha=\"0.02\", expect_size=\"17060864\"] \n  18 -> 33 [size =\"17060864\"]\n  18 -> 37 [size =\"17060864\"]\n  18 -> 41 [size =\"17060864\"]\n  19 [size=\"97077248\", alpha=\"0.07\", expect_size=\"48538624\"] \n  19 -> 27 [size =\"48538624\"]\n  19 -> 29 [size =\"48538624\"]\n  19 -> 30 [size =\"48538624\"]\n  19 -> 32 [size =\"48538624\"]\n  19 -> 33 [size =\"48538624\"]\n  19 -> 36 [size =\"48538624\"]\n  19 -> 37 [size =\"48538624\"]\n  20 [size=\"55625728\", alpha=\"0.14\", expect_size=\"27812864\"] \n  20 -> 27 [size =\"27812864\"]\n  20 -> 28 [size =\"27812864\"]\n  20 -> 36 [size =\"27812864\"]\n  20 -> 37 [size =\"27812864\"]\n  20 -> 38 [size =\"27812864\"]\n  21 [size=\"78489600\", alpha=\"0.03\", expect_size=\"39244800\"] \n  21 -> 28 [size =\"39244800\"]\n  21 -> 30 [size =\"39244800\"]\n  21 -> 32 [size =\"39244800\"]\n  21 -> 33 [size =\"39244800\"]\n  21 -> 36 [size =\"39244800\"]\n  21 -> 38 [size =\"39244800\"]\n  21 -> 41 [size =\"39244800\"]\n  22 [size=\"63756288\", alpha=\"0.05\", expect_size=\"31878144\"] \n  22 -> 28 [size =\"31878144\"]\n  22 -> 30 [size =\"31878144\"]\n  22 -> 32 [size =\"31878144\"]\n  22 -> 33 [size =\"31878144\"]\n  22 -> 34 [size =\"31878144\"]\n  22 -> 35 [size =\"31878144\"]\n  22 -> 39 [size =\"31878144\"]\n  22 -> 41 [size =\"31878144\"]\n  23 [size=\"53706752\", alpha=\"0.05\", expect_size=\"26853376\"] \n  23 -> 27 [size =\"26853376\"]\n  23 -> 28 [size =\"26853376\"]\n  23 -> 32 [size =\"26853376\"]\n  23 -> 34 [size =\"26853376\"]\n  23 -> 37 [size =\"26853376\"]\n  23 -> 39 [size =\"26853376\"]\n  23 -> 41 [size =\"26853376\"]\n  24 [size=\"11061248\", alpha=\"0.06\", expect_size=\"5530624\"] \n  24 -> 31 [size =\"5530624\"]\n  24 -> 32 [size =\"5530624\"]\n  24 -> 37 [size =\"5530624\"]\n  24 -> 39 [size =\"5530624\"]\n  25 [size=\"99366912\", alpha=\"0.14\", expect_size=\"49683456\"] \n  25 -> 28 [size =\"49683456\"]\n  25 -> 31 [size =\"49683456\"]\n  25 -> 32 [size =\"49683456\"]\n  25 -> 37 [size =\"49683456\"]\n  26 [size=\"80773120\", alpha=\"0.14\", expect_size=\"40386560\"] \n  26 -> 27 [size =\"40386560\"]\n  26 -> 31 [size =\"40386560\"]\n  26 -> 34 [size =\"40386560\"]\n  26 -> 39 [size =\"40386560\"]\n  26 -> 40 [size =\"40386560\"]\n  26 -> 41 [size =\"40386560\"]\n  27 [size=\"25833472\", alpha=\"0.16\", expect_size=\"12916736\"] \n  27 -> 44 [size =\"12916736\"]\n  27 -> 45 [size =\"12916736\"]\n  28 [size=\"85006336\", alpha=\"0.17\", expect_size=\"42503168\"] \n  28 -> 45 [size =\"42503168\"]\n  29 [size=\"93151232\", alpha=\"0.01\", expect_size=\"46575616\"] \n  29 -> 43 [size =\"46575616\"]\n  30 [size=\"29663232\", alpha=\"0.04\", expect_size=\"14831616\"] \n  30 -> 43 [size =\"14831616\"]\n  30 -> 44 [size =\"14831616\"]\n  31 [size=\"95836160\", alpha=\"0.05\", expect_size=\"47918080\"] \n  31 -> 44 [size =\"47918080\"]\n  31 -> 45 [size =\"47918080\"]\n  32 [size=\"13697024\", alpha=\"0.08\", expect_size=\"6848512\"] \n  32 -> 42 [size =\"6848512\"]\n  32 -> 43 [size =\"6848512\"]\n  33 [size=\"39147520\", alpha=\"0.13\", expect_size=\"19573760\"] \n  33 -> 42 [size =\"19573760\"]\n  33 -> 43 [size =\"19573760\"]\n  33 -> 45 [size =\"19573760\"]\n  34 [size=\"64380928\", alpha=\"0.09\", expect_size=\"32190464\"] \n  34 -> 42 [size =\"32190464\"]\n  34 -> 43 [size =\"32190464\"]\n  35 [size=\"92610560\", alpha=\"0.14\", expect_size=\"46305280\"] \n  35 -> 44 [size =\"46305280\"]\n  36 [size=\"63623168\", alpha=\"0.15\", expect_size=\"31811584\"] \n  36 -> 43 [size =\"31811584\"]\n  36 -> 44 [size =\"31811584\"]\n  36 -> 45 [size =\"31811584\"]\n  37 [size=\"33601536\", alpha=\"0.04\", expect_size=\"16800768\"] \n  37 -> 43 [size =\"16800768\"]\n  37 -> 44 [size =\"16800768\"]\n  38 [size=\"15437824\", alpha=\"0.19\", expect_size=\"7718912\"] \n  38 -> 43 [size =\"7718912\"]\n  39 [size=\"96000000\", alpha=\"0.11\", expect_size=\"48000000\"] \n  39 -> 43 [size =\"48000000\"]\n  39 -> 45 [size =\"48000000\"]\n  40 [size=\"101132288\", alpha=\"0.14\", expect_size=\"50566144\"] \n  40 -> 43 [size =\"50566144\"]\n  40 -> 45 [size =\"50566144\"]\n  41 [size=\"26595328\", alpha=\"0.10\", expect_size=\"13297664\"] \n  41 -> 45 [size =\"13297664\"]\n  42 [size=\"49639424\", alpha=\"0.18\", expect_size=\"24819712\"] \n  43 [size=\"87279616\", alpha=\"0.15\", expect_size=\"43639808\"] \n  44 [size=\"56403968\", alpha=\"0.12\", expect_size=\"28201984\"] \n  45 [size=\"97587200\", alpha=\"0.08\", expect_size=\"48793600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121733120\", alpha=\"0.18\", expect_size=\"36519936\"] \n  1 -> 5 [size =\"36519936\"]\n  1 -> 9 [size =\"36519936\"]\n  2 [size=\"171820373\", alpha=\"0.03\", expect_size=\"51546112\"] \n  2 -> 5 [size =\"51546112\"]\n  2 -> 6 [size =\"51546112\"]\n  2 -> 8 [size =\"51546112\"]\n  3 [size=\"155030187\", alpha=\"0.05\", expect_size=\"46509056\"] \n  3 -> 9 [size =\"46509056\"]\n  4 [size=\"80479573\", alpha=\"0.08\", expect_size=\"24143872\"] \n  4 -> 5 [size =\"24143872\"]\n  4 -> 7 [size =\"24143872\"]\n  5 [size=\"137891840\", alpha=\"0.01\", expect_size=\"41367552\"] \n  5 -> 11 [size =\"41367552\"]\n  5 -> 12 [size =\"41367552\"]\n  6 [size=\"89658027\", alpha=\"0.08\", expect_size=\"26897408\"] \n  6 -> 15 [size =\"26897408\"]\n  7 [size=\"78516907\", alpha=\"0.07\", expect_size=\"23555072\"] \n  7 -> 12 [size =\"23555072\"]\n  7 -> 13 [size =\"23555072\"]\n  7 -> 14 [size =\"23555072\"]\n  7 -> 15 [size =\"23555072\"]\n  8 [size=\"77240320\", alpha=\"0.07\", expect_size=\"23172096\"] \n  8 -> 12 [size =\"23172096\"]\n  8 -> 14 [size =\"23172096\"]\n  8 -> 15 [size =\"23172096\"]\n  9 [size=\"149835093\", alpha=\"0.19\", expect_size=\"44950528\"] \n  9 -> 10 [size =\"44950528\"]\n  9 -> 11 [size =\"44950528\"]\n  9 -> 16 [size =\"44950528\"]\n  10 [size=\"138096640\", alpha=\"0.18\", expect_size=\"41428992\"] \n  10 -> 17 [size =\"41428992\"]\n  10 -> 18 [size =\"41428992\"]\n  10 -> 20 [size =\"41428992\"]\n  11 [size=\"107417600\", alpha=\"0.11\", expect_size=\"32225280\"] \n  11 -> 17 [size =\"32225280\"]\n  11 -> 20 [size =\"32225280\"]\n  12 [size=\"88579413\", alpha=\"0.05\", expect_size=\"26573824\"] \n  12 -> 18 [size =\"26573824\"]\n  12 -> 19 [size =\"26573824\"]\n  12 -> 22 [size =\"26573824\"]\n  13 [size=\"110892373\", alpha=\"0.14\", expect_size=\"33267712\"] \n  13 -> 18 [size =\"33267712\"]\n  13 -> 20 [size =\"33267712\"]\n  13 -> 21 [size =\"33267712\"]\n  13 -> 22 [size =\"33267712\"]\n  14 [size=\"147046400\", alpha=\"0.16\", expect_size=\"44113920\"] \n  14 -> 17 [size =\"44113920\"]\n  14 -> 18 [size =\"44113920\"]\n  14 -> 21 [size =\"44113920\"]\n  15 [size=\"56517973\", alpha=\"0.02\", expect_size=\"16955392\"] \n  15 -> 17 [size =\"16955392\"]\n  15 -> 20 [size =\"16955392\"]\n  15 -> 22 [size =\"16955392\"]\n  16 [size=\"64098987\", alpha=\"0.08\", expect_size=\"19229696\"] \n  16 -> 21 [size =\"19229696\"]\n  17 [size=\"124764160\", alpha=\"0.19\", expect_size=\"37429248\"] \n  17 -> 24 [size =\"37429248\"]\n  17 -> 26 [size =\"37429248\"]\n  17 -> 27 [size =\"37429248\"]\n  17 -> 28 [size =\"37429248\"]\n  17 -> 29 [size =\"37429248\"]\n  18 [size=\"22050133\", alpha=\"0.15\", expect_size=\"6615040\"] \n  18 -> 24 [size =\"6615040\"]\n  18 -> 27 [size =\"6615040\"]\n  18 -> 28 [size =\"6615040\"]\n  18 -> 29 [size =\"6615040\"]\n  19 [size=\"79438507\", alpha=\"0.06\", expect_size=\"23831552\"] \n  19 -> 23 [size =\"23831552\"]\n  19 -> 25 [size =\"23831552\"]\n  19 -> 29 [size =\"23831552\"]\n  20 [size=\"68256427\", alpha=\"0.19\", expect_size=\"20476928\"] \n  20 -> 28 [size =\"20476928\"]\n  20 -> 29 [size =\"20476928\"]\n  21 [size=\"51602773\", alpha=\"0.05\", expect_size=\"15480832\"] \n  21 -> 23 [size =\"15480832\"]\n  21 -> 24 [size =\"15480832\"]\n  21 -> 28 [size =\"15480832\"]\n  22 [size=\"140148053\", alpha=\"0.10\", expect_size=\"42044416\"] \n  22 -> 25 [size =\"42044416\"]\n  22 -> 27 [size =\"42044416\"]\n  23 [size=\"20101120\", alpha=\"0.13\", expect_size=\"6030336\"] \n  23 -> 31 [size =\"6030336\"]\n  23 -> 32 [size =\"6030336\"]\n  24 [size=\"127627947\", alpha=\"0.04\", expect_size=\"38288384\"] \n  24 -> 32 [size =\"38288384\"]\n  25 [size=\"99031040\", alpha=\"0.11\", expect_size=\"29709312\"] \n  26 [size=\"112882347\", alpha=\"0.06\", expect_size=\"33864704\"] \n  26 -> 30 [size =\"33864704\"]\n  26 -> 32 [size =\"33864704\"]\n  27 [size=\"172342613\", alpha=\"0.09\", expect_size=\"51702784\"] \n  27 -> 32 [size =\"51702784\"]\n  27 -> 32 [size =\"51702784\"]\n  28 [size=\"162809173\", alpha=\"0.00\", expect_size=\"48842752\"] \n  28 -> 33 [size =\"48842752\"]\n  29 [size=\"121361067\", alpha=\"0.08\", expect_size=\"36408320\"] \n  29 -> 33 [size =\"36408320\"]\n  30 [size=\"171946667\", alpha=\"0.11\", expect_size=\"51584000\"] \n  30 -> 35 [size =\"51584000\"]\n  30 -> 37 [size =\"51584000\"]\n  30 -> 38 [size =\"51584000\"]\n  31 [size=\"164355413\", alpha=\"0.05\", expect_size=\"49306624\"] \n  31 -> 34 [size =\"49306624\"]\n  31 -> 35 [size =\"49306624\"]\n  31 -> 36 [size =\"49306624\"]\n  31 -> 39 [size =\"49306624\"]\n  32 [size=\"45554347\", alpha=\"0.09\", expect_size=\"13666304\"] \n  32 -> 35 [size =\"13666304\"]\n  32 -> 36 [size =\"13666304\"]\n  32 -> 40 [size =\"13666304\"]\n  33 [size=\"127177387\", alpha=\"0.04\", expect_size=\"38153216\"] \n  33 -> 36 [size =\"38153216\"]\n  33 -> 37 [size =\"38153216\"]\n  33 -> 38 [size =\"38153216\"]\n  34 [size=\"74922667\", alpha=\"0.16\", expect_size=\"22476800\"] \n  35 [size=\"109083307\", alpha=\"0.13\", expect_size=\"32724992\"] \n  35 -> 45 [size =\"32724992\"]\n  36 [size=\"35502080\", alpha=\"0.16\", expect_size=\"10650624\"] \n  36 -> 41 [size =\"10650624\"]\n  36 -> 43 [size =\"10650624\"]\n  36 -> 45 [size =\"10650624\"]\n  37 [size=\"83643733\", alpha=\"0.12\", expect_size=\"25093120\"] \n  37 -> 41 [size =\"25093120\"]\n  37 -> 43 [size =\"25093120\"]\n  37 -> 45 [size =\"25093120\"]\n  38 [size=\"157272747\", alpha=\"0.09\", expect_size=\"47181824\"] \n  38 -> 42 [size =\"47181824\"]\n  38 -> 45 [size =\"47181824\"]\n  39 [size=\"158863360\", alpha=\"0.14\", expect_size=\"47659008\"] \n  39 -> 41 [size =\"47659008\"]\n  39 -> 42 [size =\"47659008\"]\n  39 -> 43 [size =\"47659008\"]\n  39 -> 44 [size =\"47659008\"]\n  40 [size=\"63488000\", alpha=\"0.05\", expect_size=\"19046400\"] \n  40 -> 41 [size =\"19046400\"]\n  40 -> 42 [size =\"19046400\"]\n  40 -> 45 [size =\"19046400\"]\n  41 [size=\"149063680\", alpha=\"0.01\", expect_size=\"44719104\"] \n  42 [size=\"33665707\", alpha=\"0.12\", expect_size=\"10099712\"] \n  43 [size=\"102980267\", alpha=\"0.03\", expect_size=\"30894080\"] \n  44 [size=\"135850667\", alpha=\"0.09\", expect_size=\"40755200\"] \n  45 [size=\"104560640\", alpha=\"0.05\", expect_size=\"31368192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38025216\", alpha=\"0.14\", expect_size=\"19012608\"] \n  1 -> 19 [size =\"19012608\"]\n  1 -> 21 [size =\"19012608\"]\n  1 -> 23 [size =\"19012608\"]\n  1 -> 26 [size =\"19012608\"]\n  2 [size=\"47613952\", alpha=\"0.07\", expect_size=\"23806976\"] \n  2 -> 19 [size =\"23806976\"]\n  2 -> 22 [size =\"23806976\"]\n  2 -> 23 [size =\"23806976\"]\n  2 -> 25 [size =\"23806976\"]\n  2 -> 28 [size =\"23806976\"]\n  3 [size=\"48025600\", alpha=\"0.20\", expect_size=\"24012800\"] \n  3 -> 20 [size =\"24012800\"]\n  3 -> 21 [size =\"24012800\"]\n  3 -> 25 [size =\"24012800\"]\n  3 -> 28 [size =\"24012800\"]\n  4 [size=\"80728064\", alpha=\"0.07\", expect_size=\"40364032\"] \n  4 -> 21 [size =\"40364032\"]\n  4 -> 21 [size =\"40364032\"]\n  4 -> 26 [size =\"40364032\"]\n  4 -> 27 [size =\"40364032\"]\n  5 [size=\"19212288\", alpha=\"0.11\", expect_size=\"9606144\"] \n  5 -> 19 [size =\"9606144\"]\n  5 -> 21 [size =\"9606144\"]\n  5 -> 25 [size =\"9606144\"]\n  5 -> 26 [size =\"9606144\"]\n  5 -> 27 [size =\"9606144\"]\n  6 [size=\"81094656\", alpha=\"0.08\", expect_size=\"40547328\"] \n  6 -> 18 [size =\"40547328\"]\n  6 -> 24 [size =\"40547328\"]\n  6 -> 28 [size =\"40547328\"]\n  7 [size=\"100597760\", alpha=\"0.15\", expect_size=\"50298880\"] \n  7 -> 22 [size =\"50298880\"]\n  7 -> 26 [size =\"50298880\"]\n  8 [size=\"43194368\", alpha=\"0.19\", expect_size=\"21597184\"] \n  8 -> 18 [size =\"21597184\"]\n  8 -> 26 [size =\"21597184\"]\n  8 -> 28 [size =\"21597184\"]\n  9 [size=\"13864960\", alpha=\"0.01\", expect_size=\"6932480\"] \n  9 -> 19 [size =\"6932480\"]\n  9 -> 20 [size =\"6932480\"]\n  9 -> 21 [size =\"6932480\"]\n  9 -> 24 [size =\"6932480\"]\n  9 -> 26 [size =\"6932480\"]\n  9 -> 28 [size =\"6932480\"]\n  10 [size=\"83367936\", alpha=\"0.09\", expect_size=\"41683968\"] \n  10 -> 28 [size =\"41683968\"]\n  11 [size=\"102856704\", alpha=\"0.18\", expect_size=\"51428352\"] \n  11 -> 19 [size =\"51428352\"]\n  11 -> 21 [size =\"51428352\"]\n  12 [size=\"73590784\", alpha=\"0.04\", expect_size=\"36795392\"] \n  12 -> 20 [size =\"36795392\"]\n  12 -> 21 [size =\"36795392\"]\n  12 -> 22 [size =\"36795392\"]\n  12 -> 24 [size =\"36795392\"]\n  12 -> 26 [size =\"36795392\"]\n  12 -> 28 [size =\"36795392\"]\n  13 [size=\"11423744\", alpha=\"0.10\", expect_size=\"5711872\"] \n  13 -> 19 [size =\"5711872\"]\n  13 -> 20 [size =\"5711872\"]\n  13 -> 25 [size =\"5711872\"]\n  13 -> 26 [size =\"5711872\"]\n  14 [size=\"103899136\", alpha=\"0.17\", expect_size=\"51949568\"] \n  14 -> 18 [size =\"51949568\"]\n  14 -> 26 [size =\"51949568\"]\n  15 [size=\"44451840\", alpha=\"0.15\", expect_size=\"22225920\"] \n  15 -> 19 [size =\"22225920\"]\n  15 -> 20 [size =\"22225920\"]\n  15 -> 25 [size =\"22225920\"]\n  15 -> 28 [size =\"22225920\"]\n  16 [size=\"94025728\", alpha=\"0.13\", expect_size=\"47012864\"] \n  16 -> 19 [size =\"47012864\"]\n  16 -> 20 [size =\"47012864\"]\n  16 -> 21 [size =\"47012864\"]\n  16 -> 24 [size =\"47012864\"]\n  16 -> 26 [size =\"47012864\"]\n  17 [size=\"35799040\", alpha=\"0.17\", expect_size=\"17899520\"] \n  17 -> 19 [size =\"17899520\"]\n  17 -> 22 [size =\"17899520\"]\n  17 -> 26 [size =\"17899520\"]\n  17 -> 28 [size =\"17899520\"]\n  18 [size=\"12578816\", alpha=\"0.03\", expect_size=\"6289408\"] \n  18 -> 31 [size =\"6289408\"]\n  18 -> 34 [size =\"6289408\"]\n  18 -> 35 [size =\"6289408\"]\n  18 -> 36 [size =\"6289408\"]\n  18 -> 37 [size =\"6289408\"]\n  18 -> 39 [size =\"6289408\"]\n  18 -> 40 [size =\"6289408\"]\n  19 [size=\"102901760\", alpha=\"0.13\", expect_size=\"51450880\"] \n  19 -> 29 [size =\"51450880\"]\n  19 -> 34 [size =\"51450880\"]\n  19 -> 36 [size =\"51450880\"]\n  19 -> 36 [size =\"51450880\"]\n  19 -> 38 [size =\"51450880\"]\n  19 -> 39 [size =\"51450880\"]\n  19 -> 40 [size =\"51450880\"]\n  20 [size=\"11692032\", alpha=\"0.09\", expect_size=\"5846016\"] \n  20 -> 36 [size =\"5846016\"]\n  20 -> 37 [size =\"5846016\"]\n  20 -> 39 [size =\"5846016\"]\n  21 [size=\"51900416\", alpha=\"0.10\", expect_size=\"25950208\"] \n  21 -> 29 [size =\"25950208\"]\n  21 -> 30 [size =\"25950208\"]\n  21 -> 31 [size =\"25950208\"]\n  21 -> 34 [size =\"25950208\"]\n  21 -> 36 [size =\"25950208\"]\n  21 -> 37 [size =\"25950208\"]\n  21 -> 39 [size =\"25950208\"]\n  21 -> 40 [size =\"25950208\"]\n  22 [size=\"43538432\", alpha=\"0.20\", expect_size=\"21769216\"] \n  22 -> 29 [size =\"21769216\"]\n  22 -> 30 [size =\"21769216\"]\n  22 -> 31 [size =\"21769216\"]\n  22 -> 34 [size =\"21769216\"]\n  22 -> 37 [size =\"21769216\"]\n  22 -> 37 [size =\"21769216\"]\n  23 [size=\"60844032\", alpha=\"0.17\", expect_size=\"30422016\"] \n  23 -> 30 [size =\"30422016\"]\n  23 -> 30 [size =\"30422016\"]\n  23 -> 31 [size =\"30422016\"]\n  23 -> 33 [size =\"30422016\"]\n  23 -> 34 [size =\"30422016\"]\n  23 -> 37 [size =\"30422016\"]\n  23 -> 40 [size =\"30422016\"]\n  24 [size=\"12333056\", alpha=\"0.09\", expect_size=\"6166528\"] \n  24 -> 30 [size =\"6166528\"]\n  24 -> 31 [size =\"6166528\"]\n  24 -> 31 [size =\"6166528\"]\n  24 -> 32 [size =\"6166528\"]\n  24 -> 33 [size =\"6166528\"]\n  24 -> 37 [size =\"6166528\"]\n  25 [size=\"91635712\", alpha=\"0.03\", expect_size=\"45817856\"] \n  25 -> 29 [size =\"45817856\"]\n  25 -> 33 [size =\"45817856\"]\n  25 -> 34 [size =\"45817856\"]\n  25 -> 35 [size =\"45817856\"]\n  25 -> 39 [size =\"45817856\"]\n  26 [size=\"69466112\", alpha=\"0.13\", expect_size=\"34733056\"] \n  26 -> 30 [size =\"34733056\"]\n  26 -> 39 [size =\"34733056\"]\n  26 -> 40 [size =\"34733056\"]\n  27 [size=\"38316032\", alpha=\"0.01\", expect_size=\"19158016\"] \n  27 -> 38 [size =\"19158016\"]\n  27 -> 39 [size =\"19158016\"]\n  28 [size=\"25513984\", alpha=\"0.16\", expect_size=\"12756992\"] \n  28 -> 30 [size =\"12756992\"]\n  28 -> 31 [size =\"12756992\"]\n  28 -> 33 [size =\"12756992\"]\n  28 -> 36 [size =\"12756992\"]\n  28 -> 37 [size =\"12756992\"]\n  28 -> 39 [size =\"12756992\"]\n  28 -> 40 [size =\"12756992\"]\n  29 [size=\"40972288\", alpha=\"0.12\", expect_size=\"20486144\"] \n  29 -> 41 [size =\"20486144\"]\n  29 -> 42 [size =\"20486144\"]\n  29 -> 44 [size =\"20486144\"]\n  29 -> 45 [size =\"20486144\"]\n  30 [size=\"103430144\", alpha=\"0.03\", expect_size=\"51715072\"] \n  30 -> 41 [size =\"51715072\"]\n  31 [size=\"51142656\", alpha=\"0.14\", expect_size=\"25571328\"] \n  31 -> 41 [size =\"25571328\"]\n  31 -> 42 [size =\"25571328\"]\n  31 -> 44 [size =\"25571328\"]\n  32 [size=\"100392960\", alpha=\"0.18\", expect_size=\"50196480\"] \n  32 -> 42 [size =\"50196480\"]\n  32 -> 43 [size =\"50196480\"]\n  32 -> 44 [size =\"50196480\"]\n  33 [size=\"99565568\", alpha=\"0.02\", expect_size=\"49782784\"] \n  33 -> 43 [size =\"49782784\"]\n  33 -> 45 [size =\"49782784\"]\n  34 [size=\"86204416\", alpha=\"0.06\", expect_size=\"43102208\"] \n  34 -> 41 [size =\"43102208\"]\n  35 [size=\"36179968\", alpha=\"0.18\", expect_size=\"18089984\"] \n  36 [size=\"52590592\", alpha=\"0.07\", expect_size=\"26295296\"] \n  36 -> 41 [size =\"26295296\"]\n  36 -> 43 [size =\"26295296\"]\n  37 [size=\"17303552\", alpha=\"0.01\", expect_size=\"8651776\"] \n  37 -> 41 [size =\"8651776\"]\n  37 -> 42 [size =\"8651776\"]\n  38 [size=\"20432896\", alpha=\"0.16\", expect_size=\"10216448\"] \n  39 [size=\"94685184\", alpha=\"0.11\", expect_size=\"47342592\"] \n  40 [size=\"54700032\", alpha=\"0.05\", expect_size=\"27350016\"] \n  40 -> 42 [size =\"27350016\"]\n  41 [size=\"67729408\", alpha=\"0.09\", expect_size=\"33864704\"] \n  42 [size=\"37402624\", alpha=\"0.19\", expect_size=\"18701312\"] \n  43 [size=\"26824704\", alpha=\"0.01\", expect_size=\"13412352\"] \n  44 [size=\"36937728\", alpha=\"0.02\", expect_size=\"18468864\"] \n  45 [size=\"66783232\", alpha=\"0.01\", expect_size=\"33391616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72253440\", alpha=\"0.12\", expect_size=\"28901376\"] \n  2 [size=\"104145920\", alpha=\"0.17\", expect_size=\"41658368\"] \n  2 -> 6 [size =\"41658368\"]\n  2 -> 7 [size =\"41658368\"]\n  2 -> 8 [size =\"41658368\"]\n  3 [size=\"45754880\", alpha=\"0.09\", expect_size=\"18301952\"] \n  4 [size=\"118947840\", alpha=\"0.11\", expect_size=\"47579136\"] \n  4 -> 6 [size =\"47579136\"]\n  4 -> 7 [size =\"47579136\"]\n  5 [size=\"69102080\", alpha=\"0.09\", expect_size=\"27640832\"] \n  5 -> 6 [size =\"27640832\"]\n  5 -> 7 [size =\"27640832\"]\n  6 [size=\"94955520\", alpha=\"0.14\", expect_size=\"37982208\"] \n  6 -> 9 [size =\"37982208\"]\n  6 -> 10 [size =\"37982208\"]\n  6 -> 12 [size =\"37982208\"]\n  6 -> 13 [size =\"37982208\"]\n  7 [size=\"110528000\", alpha=\"0.02\", expect_size=\"44211200\"] \n  7 -> 12 [size =\"44211200\"]\n  7 -> 13 [size =\"44211200\"]\n  7 -> 14 [size =\"44211200\"]\n  7 -> 15 [size =\"44211200\"]\n  7 -> 16 [size =\"44211200\"]\n  8 [size=\"41415680\", alpha=\"0.04\", expect_size=\"16566272\"] \n  8 -> 11 [size =\"16566272\"]\n  8 -> 13 [size =\"16566272\"]\n  9 [size=\"40706560\", alpha=\"0.07\", expect_size=\"16282624\"] \n  9 -> 17 [size =\"16282624\"]\n  9 -> 19 [size =\"16282624\"]\n  9 -> 20 [size =\"16282624\"]\n  10 [size=\"90552320\", alpha=\"0.07\", expect_size=\"36220928\"] \n  10 -> 17 [size =\"36220928\"]\n  10 -> 21 [size =\"36220928\"]\n  11 [size=\"76149760\", alpha=\"0.15\", expect_size=\"30459904\"] \n  11 -> 19 [size =\"30459904\"]\n  11 -> 20 [size =\"30459904\"]\n  11 -> 21 [size =\"30459904\"]\n  12 [size=\"31383040\", alpha=\"0.12\", expect_size=\"12553216\"] \n  13 [size=\"129392640\", alpha=\"0.01\", expect_size=\"51757056\"] \n  13 -> 17 [size =\"51757056\"]\n  13 -> 18 [size =\"51757056\"]\n  13 -> 20 [size =\"51757056\"]\n  13 -> 21 [size =\"51757056\"]\n  14 [size=\"63964160\", alpha=\"0.12\", expect_size=\"25585664\"] \n  14 -> 18 [size =\"25585664\"]\n  14 -> 21 [size =\"25585664\"]\n  15 [size=\"127687680\", alpha=\"0.19\", expect_size=\"51075072\"] \n  15 -> 20 [size =\"51075072\"]\n  16 [size=\"59914240\", alpha=\"0.15\", expect_size=\"23965696\"] \n  16 -> 17 [size =\"23965696\"]\n  16 -> 18 [size =\"23965696\"]\n  16 -> 20 [size =\"23965696\"]\n  16 -> 21 [size =\"23965696\"]\n  17 [size=\"25185280\", alpha=\"0.09\", expect_size=\"10074112\"] \n  17 -> 22 [size =\"10074112\"]\n  18 [size=\"38095360\", alpha=\"0.11\", expect_size=\"15238144\"] \n  18 -> 24 [size =\"15238144\"]\n  19 [size=\"63825920\", alpha=\"0.01\", expect_size=\"25530368\"] \n  20 [size=\"107888640\", alpha=\"0.19\", expect_size=\"43155456\"] \n  21 [size=\"31372800\", alpha=\"0.07\", expect_size=\"12549120\"] \n  21 -> 22 [size =\"12549120\"]\n  21 -> 23 [size =\"12549120\"]\n  22 [size=\"121149440\", alpha=\"0.10\", expect_size=\"48459776\"] \n  22 -> 25 [size =\"48459776\"]\n  22 -> 27 [size =\"48459776\"]\n  22 -> 29 [size =\"48459776\"]\n  23 [size=\"73978880\", alpha=\"0.19\", expect_size=\"29591552\"] \n  23 -> 27 [size =\"29591552\"]\n  23 -> 28 [size =\"29591552\"]\n  23 -> 29 [size =\"29591552\"]\n  24 [size=\"79275520\", alpha=\"0.05\", expect_size=\"31710208\"] \n  24 -> 26 [size =\"31710208\"]\n  24 -> 27 [size =\"31710208\"]\n  24 -> 28 [size =\"31710208\"]\n  24 -> 29 [size =\"31710208\"]\n  25 [size=\"32473600\", alpha=\"0.01\", expect_size=\"12989440\"] \n  25 -> 30 [size =\"12989440\"]\n  25 -> 32 [size =\"12989440\"]\n  25 -> 33 [size =\"12989440\"]\n  25 -> 34 [size =\"12989440\"]\n  26 [size=\"26227200\", alpha=\"0.12\", expect_size=\"10490880\"] \n  26 -> 30 [size =\"10490880\"]\n  26 -> 32 [size =\"10490880\"]\n  26 -> 33 [size =\"10490880\"]\n  26 -> 34 [size =\"10490880\"]\n  27 [size=\"112547840\", alpha=\"0.18\", expect_size=\"45019136\"] \n  27 -> 30 [size =\"45019136\"]\n  27 -> 31 [size =\"45019136\"]\n  27 -> 32 [size =\"45019136\"]\n  27 -> 33 [size =\"45019136\"]\n  27 -> 34 [size =\"45019136\"]\n  28 [size=\"45017600\", alpha=\"0.10\", expect_size=\"18007040\"] \n  28 -> 32 [size =\"18007040\"]\n  28 -> 33 [size =\"18007040\"]\n  29 [size=\"112373760\", alpha=\"0.06\", expect_size=\"44949504\"] \n  29 -> 34 [size =\"44949504\"]\n  30 [size=\"118807040\", alpha=\"0.15\", expect_size=\"47522816\"] \n  30 -> 38 [size =\"47522816\"]\n  30 -> 39 [size =\"47522816\"]\n  31 [size=\"111989760\", alpha=\"0.15\", expect_size=\"44795904\"] \n  31 -> 36 [size =\"44795904\"]\n  31 -> 38 [size =\"44795904\"]\n  31 -> 41 [size =\"44795904\"]\n  32 [size=\"33105920\", alpha=\"0.18\", expect_size=\"13242368\"] \n  32 -> 35 [size =\"13242368\"]\n  32 -> 41 [size =\"13242368\"]\n  32 -> 42 [size =\"13242368\"]\n  33 [size=\"91161600\", alpha=\"0.00\", expect_size=\"36464640\"] \n  33 -> 35 [size =\"36464640\"]\n  33 -> 36 [size =\"36464640\"]\n  33 -> 42 [size =\"36464640\"]\n  34 [size=\"82872320\", alpha=\"0.12\", expect_size=\"33148928\"] \n  34 -> 37 [size =\"33148928\"]\n  34 -> 40 [size =\"33148928\"]\n  34 -> 42 [size =\"33148928\"]\n  35 [size=\"114081280\", alpha=\"0.02\", expect_size=\"45632512\"] \n  35 -> 43 [size =\"45632512\"]\n  36 [size=\"122821120\", alpha=\"0.01\", expect_size=\"49128448\"] \n  36 -> 44 [size =\"49128448\"]\n  36 -> 45 [size =\"49128448\"]\n  37 [size=\"72977920\", alpha=\"0.02\", expect_size=\"29191168\"] \n  37 -> 44 [size =\"29191168\"]\n  37 -> 45 [size =\"29191168\"]\n  38 [size=\"61975040\", alpha=\"0.07\", expect_size=\"24790016\"] \n  38 -> 44 [size =\"24790016\"]\n  38 -> 45 [size =\"24790016\"]\n  39 [size=\"118118400\", alpha=\"0.00\", expect_size=\"47247360\"] \n  39 -> 43 [size =\"47247360\"]\n  39 -> 45 [size =\"47247360\"]\n  40 [size=\"33080320\", alpha=\"0.10\", expect_size=\"13232128\"] \n  40 -> 43 [size =\"13232128\"]\n  40 -> 45 [size =\"13232128\"]\n  41 [size=\"120238080\", alpha=\"0.03\", expect_size=\"48095232\"] \n  41 -> 43 [size =\"48095232\"]\n  41 -> 44 [size =\"48095232\"]\n  42 [size=\"88737280\", alpha=\"0.14\", expect_size=\"35494912\"] \n  42 -> 43 [size =\"35494912\"]\n  42 -> 44 [size =\"35494912\"]\n  42 -> 45 [size =\"35494912\"]\n  43 [size=\"74823680\", alpha=\"0.15\", expect_size=\"29929472\"] \n  44 [size=\"76820480\", alpha=\"0.08\", expect_size=\"30728192\"] \n  45 [size=\"27617280\", alpha=\"0.04\", expect_size=\"11046912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103948800\", alpha=\"0.11\", expect_size=\"41579520\"] \n  2 [size=\"48286720\", alpha=\"0.10\", expect_size=\"19314688\"] \n  2 -> 4 [size =\"19314688\"]\n  2 -> 5 [size =\"19314688\"]\n  3 [size=\"73152000\", alpha=\"0.09\", expect_size=\"29260800\"] \n  3 -> 4 [size =\"29260800\"]\n  3 -> 5 [size =\"29260800\"]\n  4 [size=\"71311360\", alpha=\"0.14\", expect_size=\"28524544\"] \n  4 -> 7 [size =\"28524544\"]\n  5 [size=\"115637760\", alpha=\"0.03\", expect_size=\"46255104\"] \n  5 -> 6 [size =\"46255104\"]\n  5 -> 7 [size =\"46255104\"]\n  6 [size=\"23124480\", alpha=\"0.02\", expect_size=\"9249792\"] \n  6 -> 10 [size =\"9249792\"]\n  7 [size=\"55902720\", alpha=\"0.08\", expect_size=\"22361088\"] \n  7 -> 8 [size =\"22361088\"]\n  7 -> 9 [size =\"22361088\"]\n  7 -> 10 [size =\"22361088\"]\n  8 [size=\"43348480\", alpha=\"0.03\", expect_size=\"17339392\"] \n  8 -> 12 [size =\"17339392\"]\n  9 [size=\"80732160\", alpha=\"0.04\", expect_size=\"32292864\"] \n  10 [size=\"53519360\", alpha=\"0.03\", expect_size=\"21407744\"] \n  10 -> 11 [size =\"21407744\"]\n  10 -> 12 [size =\"21407744\"]\n  10 -> 13 [size =\"21407744\"]\n  11 [size=\"95782400\", alpha=\"0.08\", expect_size=\"38312960\"] \n  12 [size=\"40558080\", alpha=\"0.07\", expect_size=\"16223232\"] \n  12 -> 14 [size =\"16223232\"]\n  12 -> 15 [size =\"16223232\"]\n  13 [size=\"100444160\", alpha=\"0.06\", expect_size=\"40177664\"] \n  13 -> 15 [size =\"40177664\"]\n  14 [size=\"37657600\", alpha=\"0.14\", expect_size=\"15063040\"] \n  14 -> 16 [size =\"15063040\"]\n  14 -> 17 [size =\"15063040\"]\n  15 [size=\"118154240\", alpha=\"0.00\", expect_size=\"47261696\"] \n  15 -> 16 [size =\"47261696\"]\n  15 -> 17 [size =\"47261696\"]\n  16 [size=\"20313600\", alpha=\"0.05\", expect_size=\"8125440\"] \n  17 [size=\"33640960\", alpha=\"0.17\", expect_size=\"13456384\"] \n  17 -> 18 [size =\"13456384\"]\n  17 -> 19 [size =\"13456384\"]\n  18 [size=\"80535040\", alpha=\"0.12\", expect_size=\"32214016\"] \n  18 -> 22 [size =\"32214016\"]\n  19 [size=\"98181120\", alpha=\"0.06\", expect_size=\"39272448\"] \n  19 -> 20 [size =\"39272448\"]\n  19 -> 21 [size =\"39272448\"]\n  19 -> 22 [size =\"39272448\"]\n  20 [size=\"120473600\", alpha=\"0.13\", expect_size=\"48189440\"] \n  20 -> 23 [size =\"48189440\"]\n  20 -> 24 [size =\"48189440\"]\n  21 [size=\"17656320\", alpha=\"0.17\", expect_size=\"7062528\"] \n  21 -> 23 [size =\"7062528\"]\n  21 -> 24 [size =\"7062528\"]\n  22 [size=\"66808320\", alpha=\"0.06\", expect_size=\"26723328\"] \n  23 [size=\"105387520\", alpha=\"0.05\", expect_size=\"42155008\"] \n  23 -> 27 [size =\"42155008\"]\n  24 [size=\"25221120\", alpha=\"0.14\", expect_size=\"10088448\"] \n  24 -> 25 [size =\"10088448\"]\n  24 -> 26 [size =\"10088448\"]\n  24 -> 27 [size =\"10088448\"]\n  25 [size=\"109176320\", alpha=\"0.01\", expect_size=\"43670528\"] \n  25 -> 28 [size =\"43670528\"]\n  26 [size=\"111380480\", alpha=\"0.09\", expect_size=\"44552192\"] \n  26 -> 28 [size =\"44552192\"]\n  26 -> 29 [size =\"44552192\"]\n  27 [size=\"20352000\", alpha=\"0.04\", expect_size=\"8140800\"] \n  27 -> 28 [size =\"8140800\"]\n  28 [size=\"119165440\", alpha=\"0.05\", expect_size=\"47666176\"] \n  28 -> 30 [size =\"47666176\"]\n  28 -> 32 [size =\"47666176\"]\n  29 [size=\"73292800\", alpha=\"0.17\", expect_size=\"29317120\"] \n  29 -> 31 [size =\"29317120\"]\n  29 -> 32 [size =\"29317120\"]\n  30 [size=\"106393600\", alpha=\"0.16\", expect_size=\"42557440\"] \n  30 -> 33 [size =\"42557440\"]\n  30 -> 34 [size =\"42557440\"]\n  31 [size=\"67284480\", alpha=\"0.09\", expect_size=\"26913792\"] \n  31 -> 34 [size =\"26913792\"]\n  32 [size=\"46807040\", alpha=\"0.07\", expect_size=\"18722816\"] \n  32 -> 33 [size =\"18722816\"]\n  33 [size=\"80145920\", alpha=\"0.19\", expect_size=\"32058368\"] \n  33 -> 35 [size =\"32058368\"]\n  33 -> 36 [size =\"32058368\"]\n  34 [size=\"109378560\", alpha=\"0.16\", expect_size=\"43751424\"] \n  34 -> 35 [size =\"43751424\"]\n  34 -> 37 [size =\"43751424\"]\n  35 [size=\"74746880\", alpha=\"0.10\", expect_size=\"29898752\"] \n  35 -> 38 [size =\"29898752\"]\n  35 -> 40 [size =\"29898752\"]\n  36 [size=\"78784000\", alpha=\"0.06\", expect_size=\"31513600\"] \n  36 -> 38 [size =\"31513600\"]\n  36 -> 39 [size =\"31513600\"]\n  36 -> 40 [size =\"31513600\"]\n  37 [size=\"13542400\", alpha=\"0.05\", expect_size=\"5416960\"] \n  37 -> 38 [size =\"5416960\"]\n  38 [size=\"39784960\", alpha=\"0.15\", expect_size=\"15913984\"] \n  38 -> 41 [size =\"15913984\"]\n  38 -> 42 [size =\"15913984\"]\n  38 -> 43 [size =\"15913984\"]\n  39 [size=\"69785600\", alpha=\"0.00\", expect_size=\"27914240\"] \n  39 -> 43 [size =\"27914240\"]\n  40 [size=\"53212160\", alpha=\"0.04\", expect_size=\"21284864\"] \n  40 -> 41 [size =\"21284864\"]\n  40 -> 43 [size =\"21284864\"]\n  41 [size=\"30471680\", alpha=\"0.08\", expect_size=\"12188672\"] \n  41 -> 45 [size =\"12188672\"]\n  42 [size=\"84241920\", alpha=\"0.01\", expect_size=\"33696768\"] \n  42 -> 44 [size =\"33696768\"]\n  43 [size=\"124008960\", alpha=\"0.09\", expect_size=\"49603584\"] \n  43 -> 45 [size =\"49603584\"]\n  44 [size=\"119150080\", alpha=\"0.00\", expect_size=\"47660032\"] \n  45 [size=\"94218240\", alpha=\"0.07\", expect_size=\"37687296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13123584\", alpha=\"0.13\", expect_size=\"6561792\"] \n  1 -> 13 [size =\"6561792\"]\n  1 -> 16 [size =\"6561792\"]\n  1 -> 17 [size =\"6561792\"]\n  1 -> 18 [size =\"6561792\"]\n  1 -> 20 [size =\"6561792\"]\n  1 -> 24 [size =\"6561792\"]\n  2 [size=\"64593920\", alpha=\"0.04\", expect_size=\"32296960\"] \n  2 -> 12 [size =\"32296960\"]\n  2 -> 13 [size =\"32296960\"]\n  2 -> 16 [size =\"32296960\"]\n  2 -> 17 [size =\"32296960\"]\n  2 -> 18 [size =\"32296960\"]\n  2 -> 20 [size =\"32296960\"]\n  2 -> 21 [size =\"32296960\"]\n  2 -> 22 [size =\"32296960\"]\n  2 -> 23 [size =\"32296960\"]\n  3 [size=\"98746368\", alpha=\"0.02\", expect_size=\"49373184\"] \n  3 -> 13 [size =\"49373184\"]\n  3 -> 15 [size =\"49373184\"]\n  3 -> 16 [size =\"49373184\"]\n  3 -> 17 [size =\"49373184\"]\n  3 -> 22 [size =\"49373184\"]\n  4 [size=\"100206592\", alpha=\"0.04\", expect_size=\"50103296\"] \n  4 -> 13 [size =\"50103296\"]\n  4 -> 16 [size =\"50103296\"]\n  4 -> 17 [size =\"50103296\"]\n  4 -> 20 [size =\"50103296\"]\n  4 -> 22 [size =\"50103296\"]\n  4 -> 24 [size =\"50103296\"]\n  5 [size=\"40484864\", alpha=\"0.16\", expect_size=\"20242432\"] \n  5 -> 15 [size =\"20242432\"]\n  5 -> 17 [size =\"20242432\"]\n  5 -> 19 [size =\"20242432\"]\n  5 -> 24 [size =\"20242432\"]\n  6 [size=\"94871552\", alpha=\"0.12\", expect_size=\"47435776\"] \n  6 -> 13 [size =\"47435776\"]\n  6 -> 15 [size =\"47435776\"]\n  6 -> 19 [size =\"47435776\"]\n  6 -> 21 [size =\"47435776\"]\n  6 -> 23 [size =\"47435776\"]\n  6 -> 24 [size =\"47435776\"]\n  7 [size=\"82618368\", alpha=\"0.13\", expect_size=\"41309184\"] \n  7 -> 12 [size =\"41309184\"]\n  7 -> 15 [size =\"41309184\"]\n  7 -> 19 [size =\"41309184\"]\n  7 -> 22 [size =\"41309184\"]\n  7 -> 23 [size =\"41309184\"]\n  7 -> 24 [size =\"41309184\"]\n  8 [size=\"82356224\", alpha=\"0.05\", expect_size=\"41178112\"] \n  8 -> 12 [size =\"41178112\"]\n  8 -> 14 [size =\"41178112\"]\n  8 -> 17 [size =\"41178112\"]\n  8 -> 19 [size =\"41178112\"]\n  8 -> 20 [size =\"41178112\"]\n  8 -> 24 [size =\"41178112\"]\n  9 [size=\"95717376\", alpha=\"0.10\", expect_size=\"47858688\"] \n  9 -> 14 [size =\"47858688\"]\n  9 -> 15 [size =\"47858688\"]\n  9 -> 19 [size =\"47858688\"]\n  9 -> 24 [size =\"47858688\"]\n  10 [size=\"17326080\", alpha=\"0.12\", expect_size=\"8663040\"] \n  10 -> 15 [size =\"8663040\"]\n  10 -> 16 [size =\"8663040\"]\n  10 -> 19 [size =\"8663040\"]\n  10 -> 20 [size =\"8663040\"]\n  10 -> 22 [size =\"8663040\"]\n  11 [size=\"63215616\", alpha=\"0.10\", expect_size=\"31607808\"] \n  11 -> 13 [size =\"31607808\"]\n  11 -> 15 [size =\"31607808\"]\n  11 -> 17 [size =\"31607808\"]\n  11 -> 23 [size =\"31607808\"]\n  12 [size=\"28610560\", alpha=\"0.09\", expect_size=\"14305280\"] \n  12 -> 27 [size =\"14305280\"]\n  12 -> 28 [size =\"14305280\"]\n  12 -> 31 [size =\"14305280\"]\n  12 -> 33 [size =\"14305280\"]\n  13 [size=\"45539328\", alpha=\"0.09\", expect_size=\"22769664\"] \n  13 -> 25 [size =\"22769664\"]\n  13 -> 26 [size =\"22769664\"]\n  13 -> 27 [size =\"22769664\"]\n  13 -> 33 [size =\"22769664\"]\n  13 -> 34 [size =\"22769664\"]\n  14 [size=\"53536768\", alpha=\"0.15\", expect_size=\"26768384\"] \n  14 -> 25 [size =\"26768384\"]\n  14 -> 27 [size =\"26768384\"]\n  14 -> 28 [size =\"26768384\"]\n  14 -> 29 [size =\"26768384\"]\n  14 -> 30 [size =\"26768384\"]\n  14 -> 32 [size =\"26768384\"]\n  14 -> 34 [size =\"26768384\"]\n  15 [size=\"73209856\", alpha=\"0.15\", expect_size=\"36604928\"] \n  15 -> 27 [size =\"36604928\"]\n  15 -> 29 [size =\"36604928\"]\n  15 -> 33 [size =\"36604928\"]\n  16 [size=\"54204416\", alpha=\"0.19\", expect_size=\"27102208\"] \n  16 -> 28 [size =\"27102208\"]\n  17 [size=\"16551936\", alpha=\"0.02\", expect_size=\"8275968\"] \n  18 [size=\"80185344\", alpha=\"0.05\", expect_size=\"40092672\"] \n  18 -> 31 [size =\"40092672\"]\n  18 -> 32 [size =\"40092672\"]\n  18 -> 33 [size =\"40092672\"]\n  19 [size=\"103026688\", alpha=\"0.10\", expect_size=\"51513344\"] \n  19 -> 28 [size =\"51513344\"]\n  19 -> 31 [size =\"51513344\"]\n  19 -> 32 [size =\"51513344\"]\n  20 [size=\"56006656\", alpha=\"0.04\", expect_size=\"28003328\"] \n  20 -> 29 [size =\"28003328\"]\n  20 -> 31 [size =\"28003328\"]\n  20 -> 32 [size =\"28003328\"]\n  20 -> 33 [size =\"28003328\"]\n  21 [size=\"18849792\", alpha=\"0.19\", expect_size=\"9424896\"] \n  21 -> 27 [size =\"9424896\"]\n  21 -> 28 [size =\"9424896\"]\n  21 -> 30 [size =\"9424896\"]\n  21 -> 33 [size =\"9424896\"]\n  22 [size=\"63827968\", alpha=\"0.05\", expect_size=\"31913984\"] \n  22 -> 25 [size =\"31913984\"]\n  22 -> 28 [size =\"31913984\"]\n  22 -> 29 [size =\"31913984\"]\n  22 -> 34 [size =\"31913984\"]\n  23 [size=\"14055424\", alpha=\"0.09\", expect_size=\"7027712\"] \n  23 -> 26 [size =\"7027712\"]\n  23 -> 30 [size =\"7027712\"]\n  23 -> 31 [size =\"7027712\"]\n  23 -> 33 [size =\"7027712\"]\n  24 [size=\"54179840\", alpha=\"0.13\", expect_size=\"27089920\"] \n  25 [size=\"30478336\", alpha=\"0.03\", expect_size=\"15239168\"] \n  25 -> 37 [size =\"15239168\"]\n  25 -> 38 [size =\"15239168\"]\n  25 -> 39 [size =\"15239168\"]\n  25 -> 40 [size =\"15239168\"]\n  25 -> 42 [size =\"15239168\"]\n  25 -> 45 [size =\"15239168\"]\n  26 [size=\"99745792\", alpha=\"0.11\", expect_size=\"49872896\"] \n  26 -> 35 [size =\"49872896\"]\n  26 -> 39 [size =\"49872896\"]\n  26 -> 40 [size =\"49872896\"]\n  26 -> 41 [size =\"49872896\"]\n  26 -> 44 [size =\"49872896\"]\n  26 -> 45 [size =\"49872896\"]\n  27 [size=\"93327360\", alpha=\"0.14\", expect_size=\"46663680\"] \n  27 -> 35 [size =\"46663680\"]\n  27 -> 36 [size =\"46663680\"]\n  27 -> 42 [size =\"46663680\"]\n  27 -> 44 [size =\"46663680\"]\n  28 [size=\"104181760\", alpha=\"0.13\", expect_size=\"52090880\"] \n  28 -> 39 [size =\"52090880\"]\n  28 -> 43 [size =\"52090880\"]\n  29 [size=\"34168832\", alpha=\"0.09\", expect_size=\"17084416\"] \n  29 -> 35 [size =\"17084416\"]\n  29 -> 37 [size =\"17084416\"]\n  29 -> 43 [size =\"17084416\"]\n  29 -> 45 [size =\"17084416\"]\n  30 [size=\"82888704\", alpha=\"0.07\", expect_size=\"41444352\"] \n  30 -> 37 [size =\"41444352\"]\n  30 -> 39 [size =\"41444352\"]\n  30 -> 40 [size =\"41444352\"]\n  30 -> 42 [size =\"41444352\"]\n  30 -> 43 [size =\"41444352\"]\n  31 [size=\"102991872\", alpha=\"0.16\", expect_size=\"51495936\"] \n  31 -> 36 [size =\"51495936\"]\n  31 -> 37 [size =\"51495936\"]\n  31 -> 42 [size =\"51495936\"]\n  32 [size=\"97114112\", alpha=\"0.09\", expect_size=\"48557056\"] \n  32 -> 36 [size =\"48557056\"]\n  32 -> 37 [size =\"48557056\"]\n  32 -> 43 [size =\"48557056\"]\n  33 [size=\"24995840\", alpha=\"0.10\", expect_size=\"12497920\"] \n  33 -> 35 [size =\"12497920\"]\n  33 -> 36 [size =\"12497920\"]\n  33 -> 42 [size =\"12497920\"]\n  33 -> 43 [size =\"12497920\"]\n  33 -> 45 [size =\"12497920\"]\n  34 [size=\"69269504\", alpha=\"0.19\", expect_size=\"34634752\"] \n  34 -> 35 [size =\"34634752\"]\n  34 -> 36 [size =\"34634752\"]\n  34 -> 39 [size =\"34634752\"]\n  34 -> 40 [size =\"34634752\"]\n  34 -> 43 [size =\"34634752\"]\n  34 -> 45 [size =\"34634752\"]\n  35 [size=\"36542464\", alpha=\"0.02\", expect_size=\"18271232\"] \n  36 [size=\"51187712\", alpha=\"0.14\", expect_size=\"25593856\"] \n  37 [size=\"103217152\", alpha=\"0.07\", expect_size=\"51608576\"] \n  38 [size=\"76025856\", alpha=\"0.16\", expect_size=\"38012928\"] \n  39 [size=\"41480192\", alpha=\"0.03\", expect_size=\"20740096\"] \n  40 [size=\"84813824\", alpha=\"0.01\", expect_size=\"42406912\"] \n  41 [size=\"24127488\", alpha=\"0.20\", expect_size=\"12063744\"] \n  42 [size=\"100894720\", alpha=\"0.10\", expect_size=\"50447360\"] \n  43 [size=\"50122752\", alpha=\"0.02\", expect_size=\"25061376\"] \n  44 [size=\"95612928\", alpha=\"0.02\", expect_size=\"47806464\"] \n  45 [size=\"91672576\", alpha=\"0.07\", expect_size=\"45836288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80762880\", alpha=\"0.07\", expect_size=\"24228864\"] \n  1 -> 14 [size =\"24228864\"]\n  1 -> 15 [size =\"24228864\"]\n  1 -> 18 [size =\"24228864\"]\n  1 -> 19 [size =\"24228864\"]\n  2 [size=\"44376747\", alpha=\"0.07\", expect_size=\"13313024\"] \n  2 -> 14 [size =\"13313024\"]\n  2 -> 16 [size =\"13313024\"]\n  2 -> 22 [size =\"13313024\"]\n  3 [size=\"168994133\", alpha=\"0.18\", expect_size=\"50698240\"] \n  3 -> 14 [size =\"50698240\"]\n  3 -> 17 [size =\"50698240\"]\n  3 -> 19 [size =\"50698240\"]\n  3 -> 23 [size =\"50698240\"]\n  4 [size=\"106376533\", alpha=\"0.03\", expect_size=\"31912960\"] \n  4 -> 19 [size =\"31912960\"]\n  4 -> 21 [size =\"31912960\"]\n  4 -> 22 [size =\"31912960\"]\n  4 -> 23 [size =\"31912960\"]\n  5 [size=\"126658560\", alpha=\"0.04\", expect_size=\"37997568\"] \n  5 -> 19 [size =\"37997568\"]\n  5 -> 23 [size =\"37997568\"]\n  6 [size=\"54196907\", alpha=\"0.14\", expect_size=\"16259072\"] \n  6 -> 17 [size =\"16259072\"]\n  6 -> 23 [size =\"16259072\"]\n  7 [size=\"47127893\", alpha=\"0.13\", expect_size=\"14138368\"] \n  7 -> 15 [size =\"14138368\"]\n  7 -> 22 [size =\"14138368\"]\n  7 -> 23 [size =\"14138368\"]\n  7 -> 25 [size =\"14138368\"]\n  8 [size=\"134215680\", alpha=\"0.13\", expect_size=\"40264704\"] \n  8 -> 15 [size =\"40264704\"]\n  8 -> 17 [size =\"40264704\"]\n  8 -> 20 [size =\"40264704\"]\n  8 -> 22 [size =\"40264704\"]\n  8 -> 23 [size =\"40264704\"]\n  9 [size=\"114097493\", alpha=\"0.15\", expect_size=\"34229248\"] \n  9 -> 16 [size =\"34229248\"]\n  9 -> 17 [size =\"34229248\"]\n  9 -> 18 [size =\"34229248\"]\n  9 -> 19 [size =\"34229248\"]\n  9 -> 20 [size =\"34229248\"]\n  9 -> 22 [size =\"34229248\"]\n  10 [size=\"18281813\", alpha=\"0.19\", expect_size=\"5484544\"] \n  10 -> 14 [size =\"5484544\"]\n  10 -> 15 [size =\"5484544\"]\n  10 -> 16 [size =\"5484544\"]\n  10 -> 19 [size =\"5484544\"]\n  10 -> 20 [size =\"5484544\"]\n  10 -> 21 [size =\"5484544\"]\n  10 -> 23 [size =\"5484544\"]\n  10 -> 24 [size =\"5484544\"]\n  11 [size=\"117681493\", alpha=\"0.06\", expect_size=\"35304448\"] \n  11 -> 15 [size =\"35304448\"]\n  11 -> 16 [size =\"35304448\"]\n  11 -> 17 [size =\"35304448\"]\n  11 -> 22 [size =\"35304448\"]\n  12 [size=\"174588587\", alpha=\"0.08\", expect_size=\"52376576\"] \n  12 -> 14 [size =\"52376576\"]\n  12 -> 15 [size =\"52376576\"]\n  12 -> 19 [size =\"52376576\"]\n  12 -> 20 [size =\"52376576\"]\n  13 [size=\"73342293\", alpha=\"0.14\", expect_size=\"22002688\"] \n  13 -> 14 [size =\"22002688\"]\n  13 -> 15 [size =\"22002688\"]\n  13 -> 16 [size =\"22002688\"]\n  13 -> 20 [size =\"22002688\"]\n  14 [size=\"57023147\", alpha=\"0.10\", expect_size=\"17106944\"] \n  14 -> 28 [size =\"17106944\"]\n  14 -> 29 [size =\"17106944\"]\n  14 -> 35 [size =\"17106944\"]\n  15 [size=\"78752427\", alpha=\"0.11\", expect_size=\"23625728\"] \n  15 -> 27 [size =\"23625728\"]\n  15 -> 30 [size =\"23625728\"]\n  15 -> 31 [size =\"23625728\"]\n  15 -> 35 [size =\"23625728\"]\n  16 [size=\"109793280\", alpha=\"0.08\", expect_size=\"32937984\"] \n  16 -> 26 [size =\"32937984\"]\n  16 -> 27 [size =\"32937984\"]\n  16 -> 29 [size =\"32937984\"]\n  17 [size=\"66385920\", alpha=\"0.07\", expect_size=\"19915776\"] \n  17 -> 28 [size =\"19915776\"]\n  17 -> 29 [size =\"19915776\"]\n  17 -> 31 [size =\"19915776\"]\n  17 -> 32 [size =\"19915776\"]\n  17 -> 35 [size =\"19915776\"]\n  17 -> 36 [size =\"19915776\"]\n  18 [size=\"168721067\", alpha=\"0.08\", expect_size=\"50616320\"] \n  18 -> 26 [size =\"50616320\"]\n  19 [size=\"114193067\", alpha=\"0.06\", expect_size=\"34257920\"] \n  19 -> 26 [size =\"34257920\"]\n  19 -> 27 [size =\"34257920\"]\n  20 [size=\"76090027\", alpha=\"0.10\", expect_size=\"22827008\"] \n  20 -> 27 [size =\"22827008\"]\n  20 -> 29 [size =\"22827008\"]\n  20 -> 35 [size =\"22827008\"]\n  21 [size=\"71680000\", alpha=\"0.02\", expect_size=\"21504000\"] \n  21 -> 26 [size =\"21504000\"]\n  21 -> 28 [size =\"21504000\"]\n  21 -> 29 [size =\"21504000\"]\n  22 [size=\"117166080\", alpha=\"0.17\", expect_size=\"35149824\"] \n  22 -> 26 [size =\"35149824\"]\n  22 -> 27 [size =\"35149824\"]\n  22 -> 29 [size =\"35149824\"]\n  22 -> 30 [size =\"35149824\"]\n  22 -> 31 [size =\"35149824\"]\n  22 -> 33 [size =\"35149824\"]\n  22 -> 34 [size =\"35149824\"]\n  23 [size=\"23193600\", alpha=\"0.11\", expect_size=\"6958080\"] \n  23 -> 29 [size =\"6958080\"]\n  23 -> 31 [size =\"6958080\"]\n  23 -> 36 [size =\"6958080\"]\n  24 [size=\"131198293\", alpha=\"0.17\", expect_size=\"39359488\"] \n  24 -> 31 [size =\"39359488\"]\n  24 -> 32 [size =\"39359488\"]\n  24 -> 36 [size =\"39359488\"]\n  25 [size=\"53019307\", alpha=\"0.16\", expect_size=\"15905792\"] \n  26 [size=\"136075947\", alpha=\"0.01\", expect_size=\"40822784\"] \n  26 -> 40 [size =\"40822784\"]\n  26 -> 40 [size =\"40822784\"]\n  26 -> 41 [size =\"40822784\"]\n  26 -> 42 [size =\"40822784\"]\n  26 -> 45 [size =\"40822784\"]\n  27 [size=\"39294293\", alpha=\"0.09\", expect_size=\"11788288\"] \n  27 -> 40 [size =\"11788288\"]\n  27 -> 42 [size =\"11788288\"]\n  28 [size=\"90705920\", alpha=\"0.11\", expect_size=\"27211776\"] \n  28 -> 41 [size =\"27211776\"]\n  28 -> 44 [size =\"27211776\"]\n  29 [size=\"155194027\", alpha=\"0.06\", expect_size=\"46558208\"] \n  29 -> 42 [size =\"46558208\"]\n  29 -> 45 [size =\"46558208\"]\n  30 [size=\"48356693\", alpha=\"0.02\", expect_size=\"14507008\"] \n  30 -> 41 [size =\"14507008\"]\n  30 -> 44 [size =\"14507008\"]\n  30 -> 45 [size =\"14507008\"]\n  31 [size=\"127235413\", alpha=\"0.10\", expect_size=\"38170624\"] \n  31 -> 37 [size =\"38170624\"]\n  31 -> 38 [size =\"38170624\"]\n  31 -> 40 [size =\"38170624\"]\n  31 -> 44 [size =\"38170624\"]\n  31 -> 45 [size =\"38170624\"]\n  32 [size=\"140547413\", alpha=\"0.18\", expect_size=\"42164224\"] \n  32 -> 37 [size =\"42164224\"]\n  32 -> 38 [size =\"42164224\"]\n  32 -> 39 [size =\"42164224\"]\n  32 -> 42 [size =\"42164224\"]\n  32 -> 45 [size =\"42164224\"]\n  33 [size=\"115196587\", alpha=\"0.13\", expect_size=\"34558976\"] \n  33 -> 37 [size =\"34558976\"]\n  33 -> 38 [size =\"34558976\"]\n  33 -> 39 [size =\"34558976\"]\n  33 -> 42 [size =\"34558976\"]\n  33 -> 44 [size =\"34558976\"]\n  34 [size=\"45414400\", alpha=\"0.13\", expect_size=\"13624320\"] \n  34 -> 39 [size =\"13624320\"]\n  34 -> 40 [size =\"13624320\"]\n  34 -> 41 [size =\"13624320\"]\n  34 -> 43 [size =\"13624320\"]\n  35 [size=\"20104533\", alpha=\"0.00\", expect_size=\"6031360\"] \n  35 -> 39 [size =\"6031360\"]\n  35 -> 40 [size =\"6031360\"]\n  35 -> 42 [size =\"6031360\"]\n  35 -> 43 [size =\"6031360\"]\n  35 -> 45 [size =\"6031360\"]\n  36 [size=\"148449280\", alpha=\"0.00\", expect_size=\"44534784\"] \n  36 -> 39 [size =\"44534784\"]\n  36 -> 40 [size =\"44534784\"]\n  36 -> 42 [size =\"44534784\"]\n  36 -> 43 [size =\"44534784\"]\n  36 -> 45 [size =\"44534784\"]\n  37 [size=\"152599893\", alpha=\"0.06\", expect_size=\"45779968\"] \n  38 [size=\"62208000\", alpha=\"0.11\", expect_size=\"18662400\"] \n  39 [size=\"151306240\", alpha=\"0.08\", expect_size=\"45391872\"] \n  40 [size=\"44660053\", alpha=\"0.13\", expect_size=\"13398016\"] \n  41 [size=\"57640960\", alpha=\"0.05\", expect_size=\"17292288\"] \n  42 [size=\"133178027\", alpha=\"0.09\", expect_size=\"39953408\"] \n  43 [size=\"113810773\", alpha=\"0.14\", expect_size=\"34143232\"] \n  44 [size=\"55408640\", alpha=\"0.14\", expect_size=\"16622592\"] \n  45 [size=\"154804907\", alpha=\"0.18\", expect_size=\"46441472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39680000\", alpha=\"0.10\", expect_size=\"15872000\"] \n  1 -> 7 [size =\"15872000\"]\n  1 -> 10 [size =\"15872000\"]\n  2 [size=\"84940800\", alpha=\"0.03\", expect_size=\"33976320\"] \n  2 -> 7 [size =\"33976320\"]\n  2 -> 9 [size =\"33976320\"]\n  3 [size=\"107555840\", alpha=\"0.01\", expect_size=\"43022336\"] \n  3 -> 7 [size =\"43022336\"]\n  3 -> 9 [size =\"43022336\"]\n  4 [size=\"78566400\", alpha=\"0.11\", expect_size=\"31426560\"] \n  4 -> 7 [size =\"31426560\"]\n  4 -> 8 [size =\"31426560\"]\n  4 -> 9 [size =\"31426560\"]\n  4 -> 10 [size =\"31426560\"]\n  5 [size=\"13434880\", alpha=\"0.12\", expect_size=\"5373952\"] \n  5 -> 10 [size =\"5373952\"]\n  5 -> 11 [size =\"5373952\"]\n  6 [size=\"35046400\", alpha=\"0.04\", expect_size=\"14018560\"] \n  6 -> 7 [size =\"14018560\"]\n  6 -> 10 [size =\"14018560\"]\n  6 -> 11 [size =\"14018560\"]\n  7 [size=\"72604160\", alpha=\"0.16\", expect_size=\"29041664\"] \n  7 -> 12 [size =\"29041664\"]\n  7 -> 13 [size =\"29041664\"]\n  7 -> 16 [size =\"29041664\"]\n  8 [size=\"76848640\", alpha=\"0.08\", expect_size=\"30739456\"] \n  8 -> 14 [size =\"30739456\"]\n  8 -> 17 [size =\"30739456\"]\n  9 [size=\"88217600\", alpha=\"0.04\", expect_size=\"35287040\"] \n  9 -> 14 [size =\"35287040\"]\n  9 -> 16 [size =\"35287040\"]\n  10 [size=\"120151040\", alpha=\"0.15\", expect_size=\"48060416\"] \n  10 -> 12 [size =\"48060416\"]\n  10 -> 14 [size =\"48060416\"]\n  10 -> 15 [size =\"48060416\"]\n  11 [size=\"92008960\", alpha=\"0.06\", expect_size=\"36803584\"] \n  11 -> 12 [size =\"36803584\"]\n  11 -> 13 [size =\"36803584\"]\n  11 -> 15 [size =\"36803584\"]\n  11 -> 16 [size =\"36803584\"]\n  12 [size=\"30988800\", alpha=\"0.20\", expect_size=\"12395520\"] \n  12 -> 23 [size =\"12395520\"]\n  13 [size=\"50969600\", alpha=\"0.01\", expect_size=\"20387840\"] \n  13 -> 22 [size =\"20387840\"]\n  13 -> 23 [size =\"20387840\"]\n  14 [size=\"57835520\", alpha=\"0.13\", expect_size=\"23134208\"] \n  14 -> 18 [size =\"23134208\"]\n  14 -> 20 [size =\"23134208\"]\n  14 -> 22 [size =\"23134208\"]\n  15 [size=\"123691520\", alpha=\"0.20\", expect_size=\"49476608\"] \n  15 -> 18 [size =\"49476608\"]\n  15 -> 19 [size =\"49476608\"]\n  16 [size=\"75991040\", alpha=\"0.12\", expect_size=\"30396416\"] \n  16 -> 19 [size =\"30396416\"]\n  16 -> 21 [size =\"30396416\"]\n  16 -> 23 [size =\"30396416\"]\n  17 [size=\"99911680\", alpha=\"0.03\", expect_size=\"39964672\"] \n  17 -> 22 [size =\"39964672\"]\n  17 -> 23 [size =\"39964672\"]\n  17 -> 23 [size =\"39964672\"]\n  18 [size=\"76541440\", alpha=\"0.03\", expect_size=\"30616576\"] \n  18 -> 25 [size =\"30616576\"]\n  19 [size=\"124920320\", alpha=\"0.19\", expect_size=\"49968128\"] \n  19 -> 25 [size =\"49968128\"]\n  19 -> 26 [size =\"49968128\"]\n  20 [size=\"28556800\", alpha=\"0.10\", expect_size=\"11422720\"] \n  20 -> 25 [size =\"11422720\"]\n  20 -> 26 [size =\"11422720\"]\n  21 [size=\"119152640\", alpha=\"0.06\", expect_size=\"47661056\"] \n  21 -> 24 [size =\"47661056\"]\n  21 -> 25 [size =\"47661056\"]\n  21 -> 28 [size =\"47661056\"]\n  22 [size=\"35975680\", alpha=\"0.15\", expect_size=\"14390272\"] \n  22 -> 26 [size =\"14390272\"]\n  22 -> 27 [size =\"14390272\"]\n  23 [size=\"35420160\", alpha=\"0.19\", expect_size=\"14168064\"] \n  23 -> 26 [size =\"14168064\"]\n  23 -> 27 [size =\"14168064\"]\n  23 -> 28 [size =\"14168064\"]\n  24 [size=\"41861120\", alpha=\"0.14\", expect_size=\"16744448\"] \n  24 -> 32 [size =\"16744448\"]\n  24 -> 33 [size =\"16744448\"]\n  25 [size=\"117450240\", alpha=\"0.09\", expect_size=\"46980096\"] \n  25 -> 32 [size =\"46980096\"]\n  26 [size=\"114636800\", alpha=\"0.09\", expect_size=\"45854720\"] \n  26 -> 29 [size =\"45854720\"]\n  26 -> 34 [size =\"45854720\"]\n  27 [size=\"66209280\", alpha=\"0.18\", expect_size=\"26483712\"] \n  27 -> 29 [size =\"26483712\"]\n  27 -> 30 [size =\"26483712\"]\n  27 -> 31 [size =\"26483712\"]\n  27 -> 32 [size =\"26483712\"]\n  28 [size=\"82480640\", alpha=\"0.18\", expect_size=\"32992256\"] \n  28 -> 29 [size =\"32992256\"]\n  28 -> 30 [size =\"32992256\"]\n  28 -> 32 [size =\"32992256\"]\n  28 -> 33 [size =\"32992256\"]\n  29 [size=\"98124800\", alpha=\"0.10\", expect_size=\"39249920\"] \n  29 -> 38 [size =\"39249920\"]\n  29 -> 39 [size =\"39249920\"]\n  30 [size=\"91934720\", alpha=\"0.01\", expect_size=\"36773888\"] \n  30 -> 35 [size =\"36773888\"]\n  30 -> 38 [size =\"36773888\"]\n  30 -> 39 [size =\"36773888\"]\n  31 [size=\"35563520\", alpha=\"0.05\", expect_size=\"14225408\"] \n  31 -> 35 [size =\"14225408\"]\n  31 -> 36 [size =\"14225408\"]\n  31 -> 37 [size =\"14225408\"]\n  31 -> 38 [size =\"14225408\"]\n  31 -> 39 [size =\"14225408\"]\n  31 -> 40 [size =\"14225408\"]\n  32 [size=\"73553920\", alpha=\"0.13\", expect_size=\"29421568\"] \n  32 -> 39 [size =\"29421568\"]\n  32 -> 40 [size =\"29421568\"]\n  33 [size=\"41807360\", alpha=\"0.06\", expect_size=\"16722944\"] \n  33 -> 35 [size =\"16722944\"]\n  33 -> 40 [size =\"16722944\"]\n  34 [size=\"34775040\", alpha=\"0.08\", expect_size=\"13910016\"] \n  34 -> 35 [size =\"13910016\"]\n  34 -> 38 [size =\"13910016\"]\n  34 -> 40 [size =\"13910016\"]\n  35 [size=\"117916160\", alpha=\"0.08\", expect_size=\"47166464\"] \n  35 -> 43 [size =\"47166464\"]\n  35 -> 44 [size =\"47166464\"]\n  35 -> 45 [size =\"47166464\"]\n  36 [size=\"55631360\", alpha=\"0.18\", expect_size=\"22252544\"] \n  36 -> 43 [size =\"22252544\"]\n  36 -> 44 [size =\"22252544\"]\n  37 [size=\"105784320\", alpha=\"0.04\", expect_size=\"42313728\"] \n  37 -> 43 [size =\"42313728\"]\n  37 -> 44 [size =\"42313728\"]\n  38 [size=\"91952640\", alpha=\"0.20\", expect_size=\"36781056\"] \n  38 -> 43 [size =\"36781056\"]\n  39 [size=\"77870080\", alpha=\"0.15\", expect_size=\"31148032\"] \n  39 -> 41 [size =\"31148032\"]\n  39 -> 42 [size =\"31148032\"]\n  40 [size=\"20689920\", alpha=\"0.13\", expect_size=\"8275968\"] \n  40 -> 42 [size =\"8275968\"]\n  41 [size=\"27453440\", alpha=\"0.08\", expect_size=\"10981376\"] \n  42 [size=\"59097600\", alpha=\"0.08\", expect_size=\"23639040\"] \n  43 [size=\"15541760\", alpha=\"0.11\", expect_size=\"6216704\"] \n  44 [size=\"52615680\", alpha=\"0.19\", expect_size=\"21046272\"] \n  45 [size=\"97080320\", alpha=\"0.05\", expect_size=\"38832128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110999040\", alpha=\"0.14\", expect_size=\"44399616\"] \n  1 -> 2 [size =\"44399616\"]\n  2 [size=\"119116800\", alpha=\"0.01\", expect_size=\"47646720\"] \n  2 -> 3 [size =\"47646720\"]\n  3 [size=\"75486720\", alpha=\"0.11\", expect_size=\"30194688\"] \n  3 -> 4 [size =\"30194688\"]\n  4 [size=\"123576320\", alpha=\"0.14\", expect_size=\"49430528\"] \n  4 -> 5 [size =\"49430528\"]\n  5 [size=\"111720960\", alpha=\"0.13\", expect_size=\"44688384\"] \n  5 -> 6 [size =\"44688384\"]\n  6 [size=\"128122880\", alpha=\"0.09\", expect_size=\"51249152\"] \n  6 -> 7 [size =\"51249152\"]\n  7 [size=\"16785920\", alpha=\"0.02\", expect_size=\"6714368\"] \n  7 -> 8 [size =\"6714368\"]\n  8 [size=\"98004480\", alpha=\"0.02\", expect_size=\"39201792\"] \n  8 -> 9 [size =\"39201792\"]\n  9 [size=\"101818880\", alpha=\"0.15\", expect_size=\"40727552\"] \n  9 -> 10 [size =\"40727552\"]\n  10 [size=\"104755200\", alpha=\"0.19\", expect_size=\"41902080\"] \n  10 -> 11 [size =\"41902080\"]\n  11 [size=\"20643840\", alpha=\"0.01\", expect_size=\"8257536\"] \n  11 -> 12 [size =\"8257536\"]\n  12 [size=\"102689280\", alpha=\"0.13\", expect_size=\"41075712\"] \n  12 -> 13 [size =\"41075712\"]\n  13 [size=\"110016000\", alpha=\"0.04\", expect_size=\"44006400\"] \n  13 -> 14 [size =\"44006400\"]\n  14 [size=\"56350720\", alpha=\"0.05\", expect_size=\"22540288\"] \n  14 -> 15 [size =\"22540288\"]\n  15 [size=\"19143680\", alpha=\"0.04\", expect_size=\"7657472\"] \n  15 -> 16 [size =\"7657472\"]\n  16 [size=\"95272960\", alpha=\"0.18\", expect_size=\"38109184\"] \n  16 -> 17 [size =\"38109184\"]\n  17 [size=\"27553280\", alpha=\"0.14\", expect_size=\"11021312\"] \n  17 -> 18 [size =\"11021312\"]\n  18 [size=\"40936960\", alpha=\"0.16\", expect_size=\"16374784\"] \n  18 -> 19 [size =\"16374784\"]\n  19 [size=\"52779520\", alpha=\"0.00\", expect_size=\"21111808\"] \n  19 -> 20 [size =\"21111808\"]\n  20 [size=\"26183680\", alpha=\"0.16\", expect_size=\"10473472\"] \n  20 -> 21 [size =\"10473472\"]\n  21 [size=\"19207680\", alpha=\"0.08\", expect_size=\"7683072\"] \n  21 -> 22 [size =\"7683072\"]\n  22 [size=\"27801600\", alpha=\"0.19\", expect_size=\"11120640\"] \n  22 -> 23 [size =\"11120640\"]\n  23 [size=\"105886720\", alpha=\"0.20\", expect_size=\"42354688\"] \n  23 -> 24 [size =\"42354688\"]\n  24 [size=\"126702080\", alpha=\"0.19\", expect_size=\"50680832\"] \n  24 -> 25 [size =\"50680832\"]\n  25 [size=\"37219840\", alpha=\"0.16\", expect_size=\"14887936\"] \n  25 -> 26 [size =\"14887936\"]\n  26 [size=\"63116800\", alpha=\"0.12\", expect_size=\"25246720\"] \n  26 -> 27 [size =\"25246720\"]\n  27 [size=\"50475520\", alpha=\"0.08\", expect_size=\"20190208\"] \n  27 -> 28 [size =\"20190208\"]\n  28 [size=\"130772480\", alpha=\"0.19\", expect_size=\"52308992\"] \n  28 -> 29 [size =\"52308992\"]\n  29 [size=\"104465920\", alpha=\"0.05\", expect_size=\"41786368\"] \n  29 -> 30 [size =\"41786368\"]\n  30 [size=\"105564160\", alpha=\"0.07\", expect_size=\"42225664\"] \n  30 -> 31 [size =\"42225664\"]\n  31 [size=\"81966080\", alpha=\"0.09\", expect_size=\"32786432\"] \n  31 -> 32 [size =\"32786432\"]\n  32 [size=\"13601280\", alpha=\"0.07\", expect_size=\"5440512\"] \n  32 -> 33 [size =\"5440512\"]\n  33 [size=\"124444160\", alpha=\"0.02\", expect_size=\"49777664\"] \n  33 -> 34 [size =\"49777664\"]\n  34 [size=\"122982400\", alpha=\"0.04\", expect_size=\"49192960\"] \n  34 -> 35 [size =\"49192960\"]\n  35 [size=\"119687680\", alpha=\"0.06\", expect_size=\"47875072\"] \n  35 -> 36 [size =\"47875072\"]\n  36 [size=\"95208960\", alpha=\"0.03\", expect_size=\"38083584\"] \n  36 -> 37 [size =\"38083584\"]\n  37 [size=\"46597120\", alpha=\"0.02\", expect_size=\"18638848\"] \n  37 -> 38 [size =\"18638848\"]\n  38 [size=\"95500800\", alpha=\"0.06\", expect_size=\"38200320\"] \n  38 -> 39 [size =\"38200320\"]\n  39 [size=\"90885120\", alpha=\"0.17\", expect_size=\"36354048\"] \n  39 -> 40 [size =\"36354048\"]\n  40 [size=\"121464320\", alpha=\"0.09\", expect_size=\"48585728\"] \n  40 -> 41 [size =\"48585728\"]\n  41 [size=\"42954240\", alpha=\"0.03\", expect_size=\"17181696\"] \n  41 -> 42 [size =\"17181696\"]\n  42 [size=\"98823680\", alpha=\"0.20\", expect_size=\"39529472\"] \n  42 -> 43 [size =\"39529472\"]\n  43 [size=\"24762880\", alpha=\"0.12\", expect_size=\"9905152\"] \n  43 -> 44 [size =\"9905152\"]\n  44 [size=\"35645440\", alpha=\"0.03\", expect_size=\"14258176\"] \n  44 -> 45 [size =\"14258176\"]\n  45 [size=\"56755200\", alpha=\"0.18\", expect_size=\"22702080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16232960\", alpha=\"0.10\", expect_size=\"6493184\"] \n  1 -> 32 [size =\"6493184\"]\n  1 -> 34 [size =\"6493184\"]\n  1 -> 40 [size =\"6493184\"]\n  1 -> 44 [size =\"6493184\"]\n  2 [size=\"88340480\", alpha=\"0.19\", expect_size=\"35336192\"] \n  2 -> 33 [size =\"35336192\"]\n  2 -> 40 [size =\"35336192\"]\n  2 -> 41 [size =\"35336192\"]\n  2 -> 42 [size =\"35336192\"]\n  3 [size=\"65118720\", alpha=\"0.10\", expect_size=\"26047488\"] \n  3 -> 41 [size =\"26047488\"]\n  4 [size=\"101450240\", alpha=\"0.07\", expect_size=\"40580096\"] \n  4 -> 32 [size =\"40580096\"]\n  4 -> 35 [size =\"40580096\"]\n  4 -> 40 [size =\"40580096\"]\n  4 -> 41 [size =\"40580096\"]\n  4 -> 42 [size =\"40580096\"]\n  5 [size=\"43522560\", alpha=\"0.15\", expect_size=\"17409024\"] \n  5 -> 35 [size =\"17409024\"]\n  5 -> 38 [size =\"17409024\"]\n  5 -> 40 [size =\"17409024\"]\n  5 -> 41 [size =\"17409024\"]\n  5 -> 42 [size =\"17409024\"]\n  5 -> 45 [size =\"17409024\"]\n  6 [size=\"83988480\", alpha=\"0.14\", expect_size=\"33595392\"] \n  6 -> 36 [size =\"33595392\"]\n  6 -> 37 [size =\"33595392\"]\n  6 -> 40 [size =\"33595392\"]\n  7 [size=\"104988160\", alpha=\"0.08\", expect_size=\"41995264\"] \n  7 -> 37 [size =\"41995264\"]\n  7 -> 40 [size =\"41995264\"]\n  7 -> 43 [size =\"41995264\"]\n  8 [size=\"90309120\", alpha=\"0.12\", expect_size=\"36123648\"] \n  8 -> 33 [size =\"36123648\"]\n  8 -> 36 [size =\"36123648\"]\n  8 -> 41 [size =\"36123648\"]\n  8 -> 42 [size =\"36123648\"]\n  8 -> 44 [size =\"36123648\"]\n  8 -> 45 [size =\"36123648\"]\n  9 [size=\"51358720\", alpha=\"0.13\", expect_size=\"20543488\"] \n  9 -> 33 [size =\"20543488\"]\n  9 -> 36 [size =\"20543488\"]\n  9 -> 41 [size =\"20543488\"]\n  9 -> 43 [size =\"20543488\"]\n  9 -> 44 [size =\"20543488\"]\n  9 -> 45 [size =\"20543488\"]\n  10 [size=\"45286400\", alpha=\"0.04\", expect_size=\"18114560\"] \n  10 -> 37 [size =\"18114560\"]\n  10 -> 38 [size =\"18114560\"]\n  10 -> 42 [size =\"18114560\"]\n  11 [size=\"74099200\", alpha=\"0.05\", expect_size=\"29639680\"] \n  11 -> 36 [size =\"29639680\"]\n  11 -> 42 [size =\"29639680\"]\n  11 -> 43 [size =\"29639680\"]\n  12 [size=\"15308800\", alpha=\"0.15\", expect_size=\"6123520\"] \n  12 -> 38 [size =\"6123520\"]\n  12 -> 42 [size =\"6123520\"]\n  12 -> 45 [size =\"6123520\"]\n  13 [size=\"125657600\", alpha=\"0.03\", expect_size=\"50263040\"] \n  13 -> 32 [size =\"50263040\"]\n  13 -> 42 [size =\"50263040\"]\n  13 -> 45 [size =\"50263040\"]\n  14 [size=\"68262400\", alpha=\"0.19\", expect_size=\"27304960\"] \n  14 -> 33 [size =\"27304960\"]\n  14 -> 34 [size =\"27304960\"]\n  14 -> 35 [size =\"27304960\"]\n  14 -> 38 [size =\"27304960\"]\n  14 -> 42 [size =\"27304960\"]\n  14 -> 43 [size =\"27304960\"]\n  15 [size=\"111687680\", alpha=\"0.06\", expect_size=\"44675072\"] \n  15 -> 33 [size =\"44675072\"]\n  15 -> 34 [size =\"44675072\"]\n  15 -> 36 [size =\"44675072\"]\n  15 -> 38 [size =\"44675072\"]\n  15 -> 43 [size =\"44675072\"]\n  15 -> 44 [size =\"44675072\"]\n  16 [size=\"85137920\", alpha=\"0.13\", expect_size=\"34055168\"] \n  16 -> 33 [size =\"34055168\"]\n  16 -> 37 [size =\"34055168\"]\n  16 -> 40 [size =\"34055168\"]\n  16 -> 43 [size =\"34055168\"]\n  17 [size=\"49080320\", alpha=\"0.04\", expect_size=\"19632128\"] \n  17 -> 33 [size =\"19632128\"]\n  17 -> 36 [size =\"19632128\"]\n  17 -> 40 [size =\"19632128\"]\n  17 -> 41 [size =\"19632128\"]\n  17 -> 42 [size =\"19632128\"]\n  18 [size=\"95526400\", alpha=\"0.15\", expect_size=\"38210560\"] \n  18 -> 40 [size =\"38210560\"]\n  18 -> 41 [size =\"38210560\"]\n  19 [size=\"48890880\", alpha=\"0.01\", expect_size=\"19556352\"] \n  19 -> 33 [size =\"19556352\"]\n  19 -> 34 [size =\"19556352\"]\n  19 -> 38 [size =\"19556352\"]\n  19 -> 40 [size =\"19556352\"]\n  19 -> 41 [size =\"19556352\"]\n  19 -> 43 [size =\"19556352\"]\n  19 -> 44 [size =\"19556352\"]\n  20 [size=\"126044160\", alpha=\"0.10\", expect_size=\"50417664\"] \n  20 -> 33 [size =\"50417664\"]\n  20 -> 34 [size =\"50417664\"]\n  20 -> 40 [size =\"50417664\"]\n  20 -> 41 [size =\"50417664\"]\n  20 -> 43 [size =\"50417664\"]\n  21 [size=\"30794240\", alpha=\"0.19\", expect_size=\"12317696\"] \n  21 -> 32 [size =\"12317696\"]\n  21 -> 39 [size =\"12317696\"]\n  21 -> 40 [size =\"12317696\"]\n  21 -> 41 [size =\"12317696\"]\n  21 -> 42 [size =\"12317696\"]\n  21 -> 44 [size =\"12317696\"]\n  22 [size=\"59366400\", alpha=\"0.01\", expect_size=\"23746560\"] \n  22 -> 32 [size =\"23746560\"]\n  22 -> 37 [size =\"23746560\"]\n  22 -> 38 [size =\"23746560\"]\n  22 -> 40 [size =\"23746560\"]\n  22 -> 41 [size =\"23746560\"]\n  22 -> 43 [size =\"23746560\"]\n  22 -> 44 [size =\"23746560\"]\n  22 -> 45 [size =\"23746560\"]\n  23 [size=\"31836160\", alpha=\"0.12\", expect_size=\"12734464\"] \n  23 -> 36 [size =\"12734464\"]\n  23 -> 38 [size =\"12734464\"]\n  23 -> 41 [size =\"12734464\"]\n  23 -> 44 [size =\"12734464\"]\n  23 -> 45 [size =\"12734464\"]\n  24 [size=\"46791680\", alpha=\"0.18\", expect_size=\"18716672\"] \n  24 -> 36 [size =\"18716672\"]\n  24 -> 41 [size =\"18716672\"]\n  24 -> 42 [size =\"18716672\"]\n  25 [size=\"38056960\", alpha=\"0.09\", expect_size=\"15222784\"] \n  25 -> 33 [size =\"15222784\"]\n  25 -> 34 [size =\"15222784\"]\n  25 -> 36 [size =\"15222784\"]\n  25 -> 41 [size =\"15222784\"]\n  25 -> 42 [size =\"15222784\"]\n  26 [size=\"75338240\", alpha=\"0.12\", expect_size=\"30135296\"] \n  26 -> 41 [size =\"30135296\"]\n  26 -> 42 [size =\"30135296\"]\n  26 -> 44 [size =\"30135296\"]\n  26 -> 45 [size =\"30135296\"]\n  27 [size=\"35929600\", alpha=\"0.10\", expect_size=\"14371840\"] \n  27 -> 32 [size =\"14371840\"]\n  27 -> 33 [size =\"14371840\"]\n  27 -> 34 [size =\"14371840\"]\n  27 -> 37 [size =\"14371840\"]\n  27 -> 40 [size =\"14371840\"]\n  27 -> 43 [size =\"14371840\"]\n  27 -> 45 [size =\"14371840\"]\n  28 [size=\"60385280\", alpha=\"0.02\", expect_size=\"24154112\"] \n  28 -> 34 [size =\"24154112\"]\n  28 -> 36 [size =\"24154112\"]\n  28 -> 40 [size =\"24154112\"]\n  28 -> 41 [size =\"24154112\"]\n  29 [size=\"28047360\", alpha=\"0.00\", expect_size=\"11218944\"] \n  29 -> 34 [size =\"11218944\"]\n  29 -> 40 [size =\"11218944\"]\n  29 -> 44 [size =\"11218944\"]\n  30 [size=\"32821760\", alpha=\"0.04\", expect_size=\"13128704\"] \n  30 -> 33 [size =\"13128704\"]\n  30 -> 40 [size =\"13128704\"]\n  30 -> 41 [size =\"13128704\"]\n  30 -> 42 [size =\"13128704\"]\n  31 [size=\"89433600\", alpha=\"0.18\", expect_size=\"35773440\"] \n  31 -> 42 [size =\"35773440\"]\n  31 -> 43 [size =\"35773440\"]\n  32 [size=\"83051520\", alpha=\"0.12\", expect_size=\"33220608\"] \n  33 [size=\"88903680\", alpha=\"0.06\", expect_size=\"35561472\"] \n  34 [size=\"41044480\", alpha=\"0.09\", expect_size=\"16417792\"] \n  35 [size=\"27811840\", alpha=\"0.08\", expect_size=\"11124736\"] \n  36 [size=\"79626240\", alpha=\"0.20\", expect_size=\"31850496\"] \n  37 [size=\"31439360\", alpha=\"0.18\", expect_size=\"12575744\"] \n  38 [size=\"93099520\", alpha=\"0.10\", expect_size=\"37239808\"] \n  39 [size=\"105876480\", alpha=\"0.07\", expect_size=\"42350592\"] \n  40 [size=\"108029440\", alpha=\"0.04\", expect_size=\"43211776\"] \n  41 [size=\"13770240\", alpha=\"0.04\", expect_size=\"5508096\"] \n  42 [size=\"120023040\", alpha=\"0.12\", expect_size=\"48009216\"] \n  43 [size=\"75100160\", alpha=\"0.03\", expect_size=\"30040064\"] \n  44 [size=\"109511680\", alpha=\"0.00\", expect_size=\"43804672\"] \n  45 [size=\"42488320\", alpha=\"0.01\", expect_size=\"16995328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70627328\", alpha=\"0.10\", expect_size=\"35313664\"] \n  2 [size=\"98541568\", alpha=\"0.06\", expect_size=\"49270784\"] \n  2 -> 4 [size =\"49270784\"]\n  2 -> 5 [size =\"49270784\"]\n  3 [size=\"96174080\", alpha=\"0.01\", expect_size=\"48087040\"] \n  4 [size=\"81938432\", alpha=\"0.07\", expect_size=\"40969216\"] \n  4 -> 6 [size =\"40969216\"]\n  4 -> 7 [size =\"40969216\"]\n  5 [size=\"49750016\", alpha=\"0.02\", expect_size=\"24875008\"] \n  6 [size=\"56627200\", alpha=\"0.16\", expect_size=\"28313600\"] \n  7 [size=\"91766784\", alpha=\"0.11\", expect_size=\"45883392\"] \n  7 -> 8 [size =\"45883392\"]\n  7 -> 9 [size =\"45883392\"]\n  7 -> 10 [size =\"45883392\"]\n  8 [size=\"94443520\", alpha=\"0.01\", expect_size=\"47221760\"] \n  9 [size=\"50604032\", alpha=\"0.03\", expect_size=\"25302016\"] \n  9 -> 11 [size =\"25302016\"]\n  10 [size=\"48232448\", alpha=\"0.20\", expect_size=\"24116224\"] \n  10 -> 11 [size =\"24116224\"]\n  10 -> 12 [size =\"24116224\"]\n  11 [size=\"14397440\", alpha=\"0.04\", expect_size=\"7198720\"] \n  11 -> 13 [size =\"7198720\"]\n  11 -> 14 [size =\"7198720\"]\n  11 -> 15 [size =\"7198720\"]\n  12 [size=\"63604736\", alpha=\"0.17\", expect_size=\"31802368\"] \n  13 [size=\"92182528\", alpha=\"0.07\", expect_size=\"46091264\"] \n  14 [size=\"98482176\", alpha=\"0.01\", expect_size=\"49241088\"] \n  14 -> 17 [size =\"49241088\"]\n  14 -> 18 [size =\"49241088\"]\n  15 [size=\"36435968\", alpha=\"0.05\", expect_size=\"18217984\"] \n  15 -> 16 [size =\"18217984\"]\n  16 [size=\"45660160\", alpha=\"0.11\", expect_size=\"22830080\"] \n  17 [size=\"25610240\", alpha=\"0.09\", expect_size=\"12805120\"] \n  17 -> 19 [size =\"12805120\"]\n  17 -> 20 [size =\"12805120\"]\n  18 [size=\"76007424\", alpha=\"0.18\", expect_size=\"38003712\"] \n  18 -> 19 [size =\"38003712\"]\n  19 [size=\"82018304\", alpha=\"0.19\", expect_size=\"41009152\"] \n  19 -> 23 [size =\"41009152\"]\n  20 [size=\"97681408\", alpha=\"0.14\", expect_size=\"48840704\"] \n  20 -> 21 [size =\"48840704\"]\n  20 -> 22 [size =\"48840704\"]\n  21 [size=\"95440896\", alpha=\"0.02\", expect_size=\"47720448\"] \n  21 -> 26 [size =\"47720448\"]\n  22 [size=\"21280768\", alpha=\"0.09\", expect_size=\"10640384\"] \n  22 -> 25 [size =\"10640384\"]\n  23 [size=\"103061504\", alpha=\"0.15\", expect_size=\"51530752\"] \n  23 -> 24 [size =\"51530752\"]\n  24 [size=\"41547776\", alpha=\"0.15\", expect_size=\"20773888\"] \n  24 -> 27 [size =\"20773888\"]\n  24 -> 28 [size =\"20773888\"]\n  25 [size=\"47136768\", alpha=\"0.03\", expect_size=\"23568384\"] \n  26 [size=\"69627904\", alpha=\"0.02\", expect_size=\"34813952\"] \n  26 -> 29 [size =\"34813952\"]\n  27 [size=\"27338752\", alpha=\"0.17\", expect_size=\"13669376\"] \n  27 -> 30 [size =\"13669376\"]\n  27 -> 32 [size =\"13669376\"]\n  28 [size=\"69640192\", alpha=\"0.11\", expect_size=\"34820096\"] \n  28 -> 30 [size =\"34820096\"]\n  28 -> 31 [size =\"34820096\"]\n  28 -> 32 [size =\"34820096\"]\n  29 [size=\"60272640\", alpha=\"0.13\", expect_size=\"30136320\"] \n  30 [size=\"53780480\", alpha=\"0.03\", expect_size=\"26890240\"] \n  31 [size=\"26337280\", alpha=\"0.13\", expect_size=\"13168640\"] \n  31 -> 33 [size =\"13168640\"]\n  31 -> 34 [size =\"13168640\"]\n  32 [size=\"38088704\", alpha=\"0.15\", expect_size=\"19044352\"] \n  32 -> 34 [size =\"19044352\"]\n  33 [size=\"82716672\", alpha=\"0.15\", expect_size=\"41358336\"] \n  33 -> 36 [size =\"41358336\"]\n  34 [size=\"57169920\", alpha=\"0.13\", expect_size=\"28584960\"] \n  34 -> 35 [size =\"28584960\"]\n  34 -> 37 [size =\"28584960\"]\n  35 [size=\"32901120\", alpha=\"0.16\", expect_size=\"16450560\"] \n  35 -> 40 [size =\"16450560\"]\n  36 [size=\"49174528\", alpha=\"0.07\", expect_size=\"24587264\"] \n  37 [size=\"57761792\", alpha=\"0.01\", expect_size=\"28880896\"] \n  37 -> 38 [size =\"28880896\"]\n  37 -> 39 [size =\"28880896\"]\n  38 [size=\"45572096\", alpha=\"0.09\", expect_size=\"22786048\"] \n  39 [size=\"96565248\", alpha=\"0.12\", expect_size=\"48282624\"] \n  39 -> 41 [size =\"48282624\"]\n  39 -> 42 [size =\"48282624\"]\n  40 [size=\"62119936\", alpha=\"0.14\", expect_size=\"31059968\"] \n  40 -> 43 [size =\"31059968\"]\n  41 [size=\"74352640\", alpha=\"0.13\", expect_size=\"37176320\"] \n  41 -> 45 [size =\"37176320\"]\n  42 [size=\"42805248\", alpha=\"0.15\", expect_size=\"21402624\"] \n  43 [size=\"20598784\", alpha=\"0.17\", expect_size=\"10299392\"] \n  43 -> 44 [size =\"10299392\"]\n  44 [size=\"89427968\", alpha=\"0.05\", expect_size=\"44713984\"] \n  45 [size=\"54177792\", alpha=\"0.01\", expect_size=\"27088896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37297493\", alpha=\"0.02\", expect_size=\"11189248\"] \n  1 -> 4 [size =\"11189248\"]\n  1 -> 5 [size =\"11189248\"]\n  2 [size=\"58801493\", alpha=\"0.03\", expect_size=\"17640448\"] \n  2 -> 4 [size =\"17640448\"]\n  3 [size=\"165785600\", alpha=\"0.04\", expect_size=\"49735680\"] \n  4 [size=\"112541013\", alpha=\"0.11\", expect_size=\"33762304\"] \n  4 -> 6 [size =\"33762304\"]\n  4 -> 7 [size =\"33762304\"]\n  5 [size=\"82548053\", alpha=\"0.19\", expect_size=\"24764416\"] \n  5 -> 6 [size =\"24764416\"]\n  6 [size=\"120279040\", alpha=\"0.14\", expect_size=\"36083712\"] \n  6 -> 8 [size =\"36083712\"]\n  6 -> 9 [size =\"36083712\"]\n  7 [size=\"45503147\", alpha=\"0.06\", expect_size=\"13650944\"] \n  7 -> 9 [size =\"13650944\"]\n  8 [size=\"71809707\", alpha=\"0.17\", expect_size=\"21542912\"] \n  8 -> 10 [size =\"21542912\"]\n  8 -> 11 [size =\"21542912\"]\n  8 -> 12 [size =\"21542912\"]\n  9 [size=\"135021227\", alpha=\"0.19\", expect_size=\"40506368\"] \n  9 -> 10 [size =\"40506368\"]\n  9 -> 11 [size =\"40506368\"]\n  9 -> 12 [size =\"40506368\"]\n  10 [size=\"92692480\", alpha=\"0.09\", expect_size=\"27807744\"] \n  10 -> 13 [size =\"27807744\"]\n  10 -> 15 [size =\"27807744\"]\n  11 [size=\"40157867\", alpha=\"0.06\", expect_size=\"12047360\"] \n  11 -> 13 [size =\"12047360\"]\n  11 -> 14 [size =\"12047360\"]\n  12 [size=\"52425387\", alpha=\"0.20\", expect_size=\"15727616\"] \n  12 -> 14 [size =\"15727616\"]\n  13 [size=\"76093440\", alpha=\"0.01\", expect_size=\"22828032\"] \n  13 -> 16 [size =\"22828032\"]\n  14 [size=\"103932587\", alpha=\"0.11\", expect_size=\"31179776\"] \n  14 -> 16 [size =\"31179776\"]\n  15 [size=\"32242347\", alpha=\"0.01\", expect_size=\"9672704\"] \n  15 -> 16 [size =\"9672704\"]\n  15 -> 17 [size =\"9672704\"]\n  16 [size=\"23347200\", alpha=\"0.18\", expect_size=\"7004160\"] \n  16 -> 18 [size =\"7004160\"]\n  16 -> 20 [size =\"7004160\"]\n  17 [size=\"130952533\", alpha=\"0.04\", expect_size=\"39285760\"] \n  17 -> 19 [size =\"39285760\"]\n  18 [size=\"21319680\", alpha=\"0.04\", expect_size=\"6395904\"] \n  19 [size=\"156265813\", alpha=\"0.02\", expect_size=\"46879744\"] \n  19 -> 22 [size =\"46879744\"]\n  20 [size=\"146384213\", alpha=\"0.15\", expect_size=\"43915264\"] \n  20 -> 21 [size =\"43915264\"]\n  20 -> 22 [size =\"43915264\"]\n  21 [size=\"58770773\", alpha=\"0.10\", expect_size=\"17631232\"] \n  21 -> 24 [size =\"17631232\"]\n  22 [size=\"104311467\", alpha=\"0.11\", expect_size=\"31293440\"] \n  22 -> 23 [size =\"31293440\"]\n  22 -> 25 [size =\"31293440\"]\n  23 [size=\"104301227\", alpha=\"0.10\", expect_size=\"31290368\"] \n  23 -> 26 [size =\"31290368\"]\n  23 -> 28 [size =\"31290368\"]\n  24 [size=\"108663467\", alpha=\"0.02\", expect_size=\"32599040\"] \n  24 -> 27 [size =\"32599040\"]\n  25 [size=\"39212373\", alpha=\"0.02\", expect_size=\"11763712\"] \n  25 -> 26 [size =\"11763712\"]\n  25 -> 27 [size =\"11763712\"]\n  25 -> 28 [size =\"11763712\"]\n  26 [size=\"48930133\", alpha=\"0.15\", expect_size=\"14679040\"] \n  26 -> 30 [size =\"14679040\"]\n  27 [size=\"32559787\", alpha=\"0.11\", expect_size=\"9767936\"] \n  27 -> 29 [size =\"9767936\"]\n  28 [size=\"63945387\", alpha=\"0.14\", expect_size=\"19183616\"] \n  28 -> 29 [size =\"19183616\"]\n  29 [size=\"95911253\", alpha=\"0.13\", expect_size=\"28773376\"] \n  29 -> 31 [size =\"28773376\"]\n  29 -> 33 [size =\"28773376\"]\n  30 [size=\"113691307\", alpha=\"0.01\", expect_size=\"34107392\"] \n  30 -> 31 [size =\"34107392\"]\n  30 -> 32 [size =\"34107392\"]\n  30 -> 33 [size =\"34107392\"]\n  31 [size=\"74967040\", alpha=\"0.11\", expect_size=\"22490112\"] \n  31 -> 34 [size =\"22490112\"]\n  32 [size=\"156842667\", alpha=\"0.07\", expect_size=\"47052800\"] \n  32 -> 34 [size =\"47052800\"]\n  32 -> 35 [size =\"47052800\"]\n  33 [size=\"86074027\", alpha=\"0.09\", expect_size=\"25822208\"] \n  33 -> 35 [size =\"25822208\"]\n  34 [size=\"168260267\", alpha=\"0.03\", expect_size=\"50478080\"] \n  34 -> 37 [size =\"50478080\"]\n  34 -> 38 [size =\"50478080\"]\n  35 [size=\"26610347\", alpha=\"0.18\", expect_size=\"7983104\"] \n  35 -> 36 [size =\"7983104\"]\n  35 -> 37 [size =\"7983104\"]\n  35 -> 38 [size =\"7983104\"]\n  36 [size=\"40765440\", alpha=\"0.15\", expect_size=\"12229632\"] \n  36 -> 39 [size =\"12229632\"]\n  37 [size=\"156248747\", alpha=\"0.05\", expect_size=\"46874624\"] \n  37 -> 40 [size =\"46874624\"]\n  37 -> 41 [size =\"46874624\"]\n  38 [size=\"86514347\", alpha=\"0.17\", expect_size=\"25954304\"] \n  38 -> 39 [size =\"25954304\"]\n  39 [size=\"43182080\", alpha=\"0.05\", expect_size=\"12954624\"] \n  39 -> 42 [size =\"12954624\"]\n  40 [size=\"143800320\", alpha=\"0.11\", expect_size=\"43140096\"] \n  40 -> 44 [size =\"43140096\"]\n  41 [size=\"149012480\", alpha=\"0.01\", expect_size=\"44703744\"] \n  41 -> 43 [size =\"44703744\"]\n  41 -> 44 [size =\"44703744\"]\n  42 [size=\"81503573\", alpha=\"0.03\", expect_size=\"24451072\"] \n  43 [size=\"133509120\", alpha=\"0.15\", expect_size=\"40052736\"] \n  43 -> 45 [size =\"40052736\"]\n  44 [size=\"49076907\", alpha=\"0.19\", expect_size=\"14723072\"] \n  44 -> 45 [size =\"14723072\"]\n  45 [size=\"71949653\", alpha=\"0.06\", expect_size=\"21584896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54796288\", alpha=\"0.09\", expect_size=\"27398144\"] \n  1 -> 18 [size =\"27398144\"]\n  1 -> 20 [size =\"27398144\"]\n  1 -> 23 [size =\"27398144\"]\n  1 -> 25 [size =\"27398144\"]\n  1 -> 28 [size =\"27398144\"]\n  1 -> 31 [size =\"27398144\"]\n  1 -> 32 [size =\"27398144\"]\n  2 [size=\"28387328\", alpha=\"0.15\", expect_size=\"14193664\"] \n  2 -> 20 [size =\"14193664\"]\n  2 -> 20 [size =\"14193664\"]\n  2 -> 22 [size =\"14193664\"]\n  2 -> 23 [size =\"14193664\"]\n  2 -> 24 [size =\"14193664\"]\n  2 -> 25 [size =\"14193664\"]\n  2 -> 26 [size =\"14193664\"]\n  2 -> 31 [size =\"14193664\"]\n  3 [size=\"45148160\", alpha=\"0.14\", expect_size=\"22574080\"] \n  3 -> 18 [size =\"22574080\"]\n  3 -> 19 [size =\"22574080\"]\n  3 -> 22 [size =\"22574080\"]\n  3 -> 23 [size =\"22574080\"]\n  3 -> 24 [size =\"22574080\"]\n  3 -> 25 [size =\"22574080\"]\n  3 -> 26 [size =\"22574080\"]\n  3 -> 27 [size =\"22574080\"]\n  3 -> 31 [size =\"22574080\"]\n  3 -> 33 [size =\"22574080\"]\n  4 [size=\"77119488\", alpha=\"0.14\", expect_size=\"38559744\"] \n  4 -> 17 [size =\"38559744\"]\n  4 -> 20 [size =\"38559744\"]\n  4 -> 23 [size =\"38559744\"]\n  4 -> 24 [size =\"38559744\"]\n  4 -> 24 [size =\"38559744\"]\n  4 -> 31 [size =\"38559744\"]\n  4 -> 32 [size =\"38559744\"]\n  4 -> 33 [size =\"38559744\"]\n  5 [size=\"71542784\", alpha=\"0.04\", expect_size=\"35771392\"] \n  5 -> 23 [size =\"35771392\"]\n  5 -> 24 [size =\"35771392\"]\n  5 -> 27 [size =\"35771392\"]\n  5 -> 31 [size =\"35771392\"]\n  6 [size=\"11296768\", alpha=\"0.04\", expect_size=\"5648384\"] \n  6 -> 17 [size =\"5648384\"]\n  6 -> 23 [size =\"5648384\"]\n  6 -> 24 [size =\"5648384\"]\n  6 -> 25 [size =\"5648384\"]\n  6 -> 26 [size =\"5648384\"]\n  6 -> 27 [size =\"5648384\"]\n  6 -> 31 [size =\"5648384\"]\n  6 -> 33 [size =\"5648384\"]\n  7 [size=\"45074432\", alpha=\"0.08\", expect_size=\"22537216\"] \n  7 -> 18 [size =\"22537216\"]\n  7 -> 20 [size =\"22537216\"]\n  7 -> 23 [size =\"22537216\"]\n  7 -> 26 [size =\"22537216\"]\n  7 -> 27 [size =\"22537216\"]\n  7 -> 30 [size =\"22537216\"]\n  7 -> 31 [size =\"22537216\"]\n  8 [size=\"47890432\", alpha=\"0.12\", expect_size=\"23945216\"] \n  8 -> 21 [size =\"23945216\"]\n  8 -> 24 [size =\"23945216\"]\n  8 -> 25 [size =\"23945216\"]\n  8 -> 26 [size =\"23945216\"]\n  8 -> 28 [size =\"23945216\"]\n  8 -> 29 [size =\"23945216\"]\n  8 -> 30 [size =\"23945216\"]\n  8 -> 33 [size =\"23945216\"]\n  9 [size=\"56565760\", alpha=\"0.13\", expect_size=\"28282880\"] \n  9 -> 25 [size =\"28282880\"]\n  9 -> 26 [size =\"28282880\"]\n  9 -> 30 [size =\"28282880\"]\n  9 -> 31 [size =\"28282880\"]\n  9 -> 33 [size =\"28282880\"]\n  10 [size=\"23404544\", alpha=\"0.08\", expect_size=\"11702272\"] \n  10 -> 17 [size =\"11702272\"]\n  10 -> 19 [size =\"11702272\"]\n  10 -> 20 [size =\"11702272\"]\n  10 -> 25 [size =\"11702272\"]\n  10 -> 26 [size =\"11702272\"]\n  10 -> 30 [size =\"11702272\"]\n  10 -> 31 [size =\"11702272\"]\n  10 -> 33 [size =\"11702272\"]\n  11 [size=\"102959104\", alpha=\"0.10\", expect_size=\"51479552\"] \n  11 -> 23 [size =\"51479552\"]\n  11 -> 24 [size =\"51479552\"]\n  11 -> 26 [size =\"51479552\"]\n  11 -> 28 [size =\"51479552\"]\n  11 -> 30 [size =\"51479552\"]\n  11 -> 33 [size =\"51479552\"]\n  12 [size=\"52332544\", alpha=\"0.14\", expect_size=\"26166272\"] \n  12 -> 20 [size =\"26166272\"]\n  12 -> 23 [size =\"26166272\"]\n  12 -> 25 [size =\"26166272\"]\n  12 -> 26 [size =\"26166272\"]\n  12 -> 28 [size =\"26166272\"]\n  12 -> 31 [size =\"26166272\"]\n  12 -> 33 [size =\"26166272\"]\n  13 [size=\"31094784\", alpha=\"0.15\", expect_size=\"15547392\"] \n  13 -> 17 [size =\"15547392\"]\n  13 -> 20 [size =\"15547392\"]\n  13 -> 22 [size =\"15547392\"]\n  13 -> 28 [size =\"15547392\"]\n  13 -> 32 [size =\"15547392\"]\n  13 -> 33 [size =\"15547392\"]\n  14 [size=\"99205120\", alpha=\"0.09\", expect_size=\"49602560\"] \n  14 -> 20 [size =\"49602560\"]\n  14 -> 23 [size =\"49602560\"]\n  14 -> 25 [size =\"49602560\"]\n  14 -> 28 [size =\"49602560\"]\n  14 -> 30 [size =\"49602560\"]\n  14 -> 31 [size =\"49602560\"]\n  15 [size=\"71774208\", alpha=\"0.06\", expect_size=\"35887104\"] \n  15 -> 20 [size =\"35887104\"]\n  15 -> 23 [size =\"35887104\"]\n  15 -> 24 [size =\"35887104\"]\n  15 -> 25 [size =\"35887104\"]\n  15 -> 26 [size =\"35887104\"]\n  15 -> 28 [size =\"35887104\"]\n  15 -> 31 [size =\"35887104\"]\n  15 -> 32 [size =\"35887104\"]\n  15 -> 33 [size =\"35887104\"]\n  16 [size=\"89587712\", alpha=\"0.10\", expect_size=\"44793856\"] \n  16 -> 20 [size =\"44793856\"]\n  16 -> 21 [size =\"44793856\"]\n  16 -> 23 [size =\"44793856\"]\n  16 -> 25 [size =\"44793856\"]\n  16 -> 26 [size =\"44793856\"]\n  16 -> 28 [size =\"44793856\"]\n  16 -> 29 [size =\"44793856\"]\n  16 -> 30 [size =\"44793856\"]\n  16 -> 31 [size =\"44793856\"]\n  16 -> 33 [size =\"44793856\"]\n  17 [size=\"15585280\", alpha=\"0.12\", expect_size=\"7792640\"] \n  17 -> 34 [size =\"7792640\"]\n  17 -> 38 [size =\"7792640\"]\n  17 -> 39 [size =\"7792640\"]\n  17 -> 40 [size =\"7792640\"]\n  17 -> 44 [size =\"7792640\"]\n  17 -> 45 [size =\"7792640\"]\n  18 [size=\"51871744\", alpha=\"0.11\", expect_size=\"25935872\"] \n  18 -> 34 [size =\"25935872\"]\n  18 -> 39 [size =\"25935872\"]\n  18 -> 41 [size =\"25935872\"]\n  18 -> 43 [size =\"25935872\"]\n  19 [size=\"12873728\", alpha=\"0.05\", expect_size=\"6436864\"] \n  19 -> 34 [size =\"6436864\"]\n  19 -> 36 [size =\"6436864\"]\n  19 -> 39 [size =\"6436864\"]\n  19 -> 41 [size =\"6436864\"]\n  19 -> 42 [size =\"6436864\"]\n  19 -> 43 [size =\"6436864\"]\n  19 -> 44 [size =\"6436864\"]\n  19 -> 45 [size =\"6436864\"]\n  20 [size=\"75188224\", alpha=\"0.13\", expect_size=\"37594112\"] \n  20 -> 34 [size =\"37594112\"]\n  20 -> 39 [size =\"37594112\"]\n  20 -> 40 [size =\"37594112\"]\n  20 -> 41 [size =\"37594112\"]\n  20 -> 43 [size =\"37594112\"]\n  20 -> 43 [size =\"37594112\"]\n  20 -> 45 [size =\"37594112\"]\n  21 [size=\"17014784\", alpha=\"0.11\", expect_size=\"8507392\"] \n  21 -> 34 [size =\"8507392\"]\n  21 -> 35 [size =\"8507392\"]\n  21 -> 36 [size =\"8507392\"]\n  21 -> 38 [size =\"8507392\"]\n  21 -> 40 [size =\"8507392\"]\n  21 -> 41 [size =\"8507392\"]\n  21 -> 43 [size =\"8507392\"]\n  21 -> 45 [size =\"8507392\"]\n  22 [size=\"63248384\", alpha=\"0.12\", expect_size=\"31624192\"] \n  22 -> 34 [size =\"31624192\"]\n  22 -> 35 [size =\"31624192\"]\n  22 -> 37 [size =\"31624192\"]\n  22 -> 39 [size =\"31624192\"]\n  22 -> 41 [size =\"31624192\"]\n  22 -> 41 [size =\"31624192\"]\n  23 [size=\"34557952\", alpha=\"0.00\", expect_size=\"17278976\"] \n  23 -> 35 [size =\"17278976\"]\n  23 -> 35 [size =\"17278976\"]\n  23 -> 36 [size =\"17278976\"]\n  23 -> 37 [size =\"17278976\"]\n  23 -> 40 [size =\"17278976\"]\n  23 -> 41 [size =\"17278976\"]\n  23 -> 43 [size =\"17278976\"]\n  23 -> 44 [size =\"17278976\"]\n  23 -> 45 [size =\"17278976\"]\n  24 [size=\"12535808\", alpha=\"0.03\", expect_size=\"6267904\"] \n  24 -> 34 [size =\"6267904\"]\n  24 -> 35 [size =\"6267904\"]\n  24 -> 37 [size =\"6267904\"]\n  24 -> 39 [size =\"6267904\"]\n  24 -> 41 [size =\"6267904\"]\n  24 -> 41 [size =\"6267904\"]\n  24 -> 44 [size =\"6267904\"]\n  25 [size=\"54599680\", alpha=\"0.18\", expect_size=\"27299840\"] \n  25 -> 40 [size =\"27299840\"]\n  25 -> 41 [size =\"27299840\"]\n  25 -> 45 [size =\"27299840\"]\n  26 [size=\"83900416\", alpha=\"0.14\", expect_size=\"41950208\"] \n  26 -> 34 [size =\"41950208\"]\n  26 -> 40 [size =\"41950208\"]\n  26 -> 41 [size =\"41950208\"]\n  26 -> 45 [size =\"41950208\"]\n  27 [size=\"34439168\", alpha=\"0.17\", expect_size=\"17219584\"] \n  27 -> 34 [size =\"17219584\"]\n  27 -> 40 [size =\"17219584\"]\n  27 -> 41 [size =\"17219584\"]\n  27 -> 43 [size =\"17219584\"]\n  27 -> 44 [size =\"17219584\"]\n  27 -> 45 [size =\"17219584\"]\n  28 [size=\"89772032\", alpha=\"0.08\", expect_size=\"44886016\"] \n  28 -> 34 [size =\"44886016\"]\n  28 -> 35 [size =\"44886016\"]\n  28 -> 40 [size =\"44886016\"]\n  28 -> 41 [size =\"44886016\"]\n  28 -> 42 [size =\"44886016\"]\n  28 -> 43 [size =\"44886016\"]\n  28 -> 44 [size =\"44886016\"]\n  28 -> 45 [size =\"44886016\"]\n  29 [size=\"48852992\", alpha=\"0.09\", expect_size=\"24426496\"] \n  29 -> 34 [size =\"24426496\"]\n  29 -> 35 [size =\"24426496\"]\n  29 -> 43 [size =\"24426496\"]\n  29 -> 44 [size =\"24426496\"]\n  29 -> 45 [size =\"24426496\"]\n  30 [size=\"74782720\", alpha=\"0.12\", expect_size=\"37391360\"] \n  30 -> 34 [size =\"37391360\"]\n  30 -> 35 [size =\"37391360\"]\n  30 -> 36 [size =\"37391360\"]\n  30 -> 38 [size =\"37391360\"]\n  30 -> 39 [size =\"37391360\"]\n  30 -> 41 [size =\"37391360\"]\n  30 -> 43 [size =\"37391360\"]\n  30 -> 44 [size =\"37391360\"]\n  30 -> 45 [size =\"37391360\"]\n  31 [size=\"43765760\", alpha=\"0.15\", expect_size=\"21882880\"] \n  31 -> 37 [size =\"21882880\"]\n  31 -> 45 [size =\"21882880\"]\n  32 [size=\"94484480\", alpha=\"0.07\", expect_size=\"47242240\"] \n  32 -> 34 [size =\"47242240\"]\n  32 -> 35 [size =\"47242240\"]\n  32 -> 37 [size =\"47242240\"]\n  32 -> 43 [size =\"47242240\"]\n  32 -> 45 [size =\"47242240\"]\n  33 [size=\"56098816\", alpha=\"0.04\", expect_size=\"28049408\"] \n  33 -> 34 [size =\"28049408\"]\n  33 -> 39 [size =\"28049408\"]\n  33 -> 43 [size =\"28049408\"]\n  33 -> 44 [size =\"28049408\"]\n  33 -> 45 [size =\"28049408\"]\n  34 [size=\"57645056\", alpha=\"0.19\", expect_size=\"28822528\"] \n  35 [size=\"71383040\", alpha=\"0.07\", expect_size=\"35691520\"] \n  36 [size=\"64002048\", alpha=\"0.12\", expect_size=\"32001024\"] \n  37 [size=\"36315136\", alpha=\"0.18\", expect_size=\"18157568\"] \n  38 [size=\"22908928\", alpha=\"0.12\", expect_size=\"11454464\"] \n  39 [size=\"61190144\", alpha=\"0.07\", expect_size=\"30595072\"] \n  40 [size=\"102864896\", alpha=\"0.16\", expect_size=\"51432448\"] \n  41 [size=\"66484224\", alpha=\"0.07\", expect_size=\"33242112\"] \n  42 [size=\"44521472\", alpha=\"0.08\", expect_size=\"22260736\"] \n  43 [size=\"78825472\", alpha=\"0.15\", expect_size=\"39412736\"] \n  44 [size=\"95631360\", alpha=\"0.02\", expect_size=\"47815680\"] \n  45 [size=\"89292800\", alpha=\"0.18\", expect_size=\"44646400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76847787\", alpha=\"0.02\", expect_size=\"23054336\"] \n  1 -> 8 [size =\"23054336\"]\n  1 -> 10 [size =\"23054336\"]\n  2 [size=\"23050240\", alpha=\"0.15\", expect_size=\"6915072\"] \n  2 -> 8 [size =\"6915072\"]\n  2 -> 10 [size =\"6915072\"]\n  3 [size=\"45875200\", alpha=\"0.14\", expect_size=\"13762560\"] \n  3 -> 6 [size =\"13762560\"]\n  3 -> 7 [size =\"13762560\"]\n  3 -> 8 [size =\"13762560\"]\n  3 -> 11 [size =\"13762560\"]\n  4 [size=\"49421653\", alpha=\"0.19\", expect_size=\"14826496\"] \n  4 -> 6 [size =\"14826496\"]\n  4 -> 8 [size =\"14826496\"]\n  4 -> 10 [size =\"14826496\"]\n  5 [size=\"71533227\", alpha=\"0.10\", expect_size=\"21459968\"] \n  5 -> 6 [size =\"21459968\"]\n  5 -> 9 [size =\"21459968\"]\n  5 -> 10 [size =\"21459968\"]\n  6 [size=\"34259627\", alpha=\"0.18\", expect_size=\"10277888\"] \n  6 -> 12 [size =\"10277888\"]\n  6 -> 13 [size =\"10277888\"]\n  6 -> 15 [size =\"10277888\"]\n  6 -> 17 [size =\"10277888\"]\n  7 [size=\"172008107\", alpha=\"0.17\", expect_size=\"51602432\"] \n  7 -> 12 [size =\"51602432\"]\n  7 -> 15 [size =\"51602432\"]\n  8 [size=\"136966827\", alpha=\"0.05\", expect_size=\"41090048\"] \n  8 -> 16 [size =\"41090048\"]\n  9 [size=\"65259520\", alpha=\"0.17\", expect_size=\"19577856\"] \n  9 -> 13 [size =\"19577856\"]\n  9 -> 14 [size =\"19577856\"]\n  9 -> 16 [size =\"19577856\"]\n  10 [size=\"60235093\", alpha=\"0.16\", expect_size=\"18070528\"] \n  10 -> 12 [size =\"18070528\"]\n  10 -> 13 [size =\"18070528\"]\n  10 -> 14 [size =\"18070528\"]\n  10 -> 17 [size =\"18070528\"]\n  11 [size=\"105625600\", alpha=\"0.16\", expect_size=\"31687680\"] \n  11 -> 12 [size =\"31687680\"]\n  11 -> 16 [size =\"31687680\"]\n  12 [size=\"118309547\", alpha=\"0.06\", expect_size=\"35492864\"] \n  12 -> 20 [size =\"35492864\"]\n  12 -> 23 [size =\"35492864\"]\n  13 [size=\"82442240\", alpha=\"0.07\", expect_size=\"24732672\"] \n  13 -> 18 [size =\"24732672\"]\n  13 -> 21 [size =\"24732672\"]\n  14 [size=\"37659307\", alpha=\"0.15\", expect_size=\"11297792\"] \n  14 -> 20 [size =\"11297792\"]\n  14 -> 22 [size =\"11297792\"]\n  14 -> 23 [size =\"11297792\"]\n  15 [size=\"33566720\", alpha=\"0.14\", expect_size=\"10070016\"] \n  15 -> 19 [size =\"10070016\"]\n  15 -> 20 [size =\"10070016\"]\n  15 -> 21 [size =\"10070016\"]\n  16 [size=\"111909547\", alpha=\"0.11\", expect_size=\"33572864\"] \n  16 -> 18 [size =\"33572864\"]\n  16 -> 20 [size =\"33572864\"]\n  16 -> 21 [size =\"33572864\"]\n  16 -> 23 [size =\"33572864\"]\n  17 [size=\"98887680\", alpha=\"0.08\", expect_size=\"29666304\"] \n  17 -> 19 [size =\"29666304\"]\n  17 -> 20 [size =\"29666304\"]\n  17 -> 21 [size =\"29666304\"]\n  18 [size=\"78093653\", alpha=\"0.04\", expect_size=\"23428096\"] \n  18 -> 24 [size =\"23428096\"]\n  18 -> 25 [size =\"23428096\"]\n  18 -> 26 [size =\"23428096\"]\n  18 -> 28 [size =\"23428096\"]\n  19 [size=\"120193707\", alpha=\"0.00\", expect_size=\"36058112\"] \n  19 -> 24 [size =\"36058112\"]\n  19 -> 27 [size =\"36058112\"]\n  19 -> 28 [size =\"36058112\"]\n  20 [size=\"99956053\", alpha=\"0.04\", expect_size=\"29986816\"] \n  20 -> 24 [size =\"29986816\"]\n  20 -> 25 [size =\"29986816\"]\n  20 -> 27 [size =\"29986816\"]\n  20 -> 28 [size =\"29986816\"]\n  21 [size=\"64692907\", alpha=\"0.15\", expect_size=\"19407872\"] \n  21 -> 26 [size =\"19407872\"]\n  21 -> 29 [size =\"19407872\"]\n  22 [size=\"33819307\", alpha=\"0.07\", expect_size=\"10145792\"] \n  22 -> 26 [size =\"10145792\"]\n  23 [size=\"81312427\", alpha=\"0.02\", expect_size=\"24393728\"] \n  23 -> 27 [size =\"24393728\"]\n  24 [size=\"137253547\", alpha=\"0.02\", expect_size=\"41176064\"] \n  24 -> 33 [size =\"41176064\"]\n  24 -> 34 [size =\"41176064\"]\n  24 -> 34 [size =\"41176064\"]\n  25 [size=\"95699627\", alpha=\"0.08\", expect_size=\"28709888\"] \n  25 -> 30 [size =\"28709888\"]\n  25 -> 33 [size =\"28709888\"]\n  25 -> 34 [size =\"28709888\"]\n  26 [size=\"47411200\", alpha=\"0.16\", expect_size=\"14223360\"] \n  26 -> 32 [size =\"14223360\"]\n  27 [size=\"130341547\", alpha=\"0.05\", expect_size=\"39102464\"] \n  27 -> 30 [size =\"39102464\"]\n  27 -> 32 [size =\"39102464\"]\n  28 [size=\"33003520\", alpha=\"0.08\", expect_size=\"9901056\"] \n  28 -> 30 [size =\"9901056\"]\n  28 -> 31 [size =\"9901056\"]\n  28 -> 33 [size =\"9901056\"]\n  29 [size=\"67563520\", alpha=\"0.17\", expect_size=\"20269056\"] \n  29 -> 30 [size =\"20269056\"]\n  29 -> 33 [size =\"20269056\"]\n  29 -> 34 [size =\"20269056\"]\n  30 [size=\"67652267\", alpha=\"0.12\", expect_size=\"20295680\"] \n  30 -> 35 [size =\"20295680\"]\n  30 -> 38 [size =\"20295680\"]\n  31 [size=\"95883947\", alpha=\"0.18\", expect_size=\"28765184\"] \n  31 -> 36 [size =\"28765184\"]\n  31 -> 37 [size =\"28765184\"]\n  31 -> 38 [size =\"28765184\"]\n  31 -> 39 [size =\"28765184\"]\n  32 [size=\"54343680\", alpha=\"0.17\", expect_size=\"16303104\"] \n  32 -> 36 [size =\"16303104\"]\n  32 -> 40 [size =\"16303104\"]\n  33 [size=\"105888427\", alpha=\"0.04\", expect_size=\"31766528\"] \n  33 -> 36 [size =\"31766528\"]\n  33 -> 37 [size =\"31766528\"]\n  33 -> 38 [size =\"31766528\"]\n  33 -> 40 [size =\"31766528\"]\n  34 [size=\"121640960\", alpha=\"0.14\", expect_size=\"36492288\"] \n  34 -> 39 [size =\"36492288\"]\n  34 -> 40 [size =\"36492288\"]\n  35 [size=\"133543253\", alpha=\"0.06\", expect_size=\"40062976\"] \n  35 -> 43 [size =\"40062976\"]\n  35 -> 45 [size =\"40062976\"]\n  36 [size=\"38369280\", alpha=\"0.10\", expect_size=\"11510784\"] \n  36 -> 45 [size =\"11510784\"]\n  37 [size=\"167475200\", alpha=\"0.04\", expect_size=\"50242560\"] \n  37 -> 41 [size =\"50242560\"]\n  38 [size=\"46254080\", alpha=\"0.06\", expect_size=\"13876224\"] \n  38 -> 42 [size =\"13876224\"]\n  39 [size=\"108769280\", alpha=\"0.01\", expect_size=\"32630784\"] \n  39 -> 43 [size =\"32630784\"]\n  39 -> 44 [size =\"32630784\"]\n  39 -> 45 [size =\"32630784\"]\n  40 [size=\"88238080\", alpha=\"0.06\", expect_size=\"26471424\"] \n  40 -> 42 [size =\"26471424\"]\n  40 -> 43 [size =\"26471424\"]\n  40 -> 45 [size =\"26471424\"]\n  41 [size=\"27415893\", alpha=\"0.17\", expect_size=\"8224768\"] \n  42 [size=\"171745280\", alpha=\"0.11\", expect_size=\"51523584\"] \n  43 [size=\"150200320\", alpha=\"0.13\", expect_size=\"45060096\"] \n  44 [size=\"27746987\", alpha=\"0.09\", expect_size=\"8324096\"] \n  45 [size=\"139144533\", alpha=\"0.16\", expect_size=\"41743360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33744896\", alpha=\"0.17\", expect_size=\"16872448\"] \n  1 -> 25 [size =\"16872448\"]\n  1 -> 29 [size =\"16872448\"]\n  1 -> 31 [size =\"16872448\"]\n  1 -> 34 [size =\"16872448\"]\n  1 -> 39 [size =\"16872448\"]\n  1 -> 41 [size =\"16872448\"]\n  1 -> 42 [size =\"16872448\"]\n  1 -> 44 [size =\"16872448\"]\n  2 [size=\"69906432\", alpha=\"0.20\", expect_size=\"34953216\"] \n  2 -> 23 [size =\"34953216\"]\n  2 -> 24 [size =\"34953216\"]\n  2 -> 27 [size =\"34953216\"]\n  2 -> 38 [size =\"34953216\"]\n  2 -> 41 [size =\"34953216\"]\n  3 [size=\"76652544\", alpha=\"0.07\", expect_size=\"38326272\"] \n  3 -> 27 [size =\"38326272\"]\n  3 -> 29 [size =\"38326272\"]\n  3 -> 31 [size =\"38326272\"]\n  3 -> 32 [size =\"38326272\"]\n  3 -> 35 [size =\"38326272\"]\n  3 -> 39 [size =\"38326272\"]\n  3 -> 41 [size =\"38326272\"]\n  3 -> 42 [size =\"38326272\"]\n  3 -> 44 [size =\"38326272\"]\n  4 [size=\"86515712\", alpha=\"0.03\", expect_size=\"43257856\"] \n  4 -> 32 [size =\"43257856\"]\n  4 -> 33 [size =\"43257856\"]\n  4 -> 37 [size =\"43257856\"]\n  4 -> 43 [size =\"43257856\"]\n  4 -> 44 [size =\"43257856\"]\n  5 [size=\"102864896\", alpha=\"0.15\", expect_size=\"51432448\"] \n  5 -> 23 [size =\"51432448\"]\n  5 -> 24 [size =\"51432448\"]\n  5 -> 32 [size =\"51432448\"]\n  5 -> 36 [size =\"51432448\"]\n  5 -> 41 [size =\"51432448\"]\n  5 -> 43 [size =\"51432448\"]\n  5 -> 44 [size =\"51432448\"]\n  6 [size=\"83517440\", alpha=\"0.20\", expect_size=\"41758720\"] \n  6 -> 37 [size =\"41758720\"]\n  6 -> 41 [size =\"41758720\"]\n  7 [size=\"17532928\", alpha=\"0.07\", expect_size=\"8766464\"] \n  7 -> 22 [size =\"8766464\"]\n  7 -> 23 [size =\"8766464\"]\n  7 -> 27 [size =\"8766464\"]\n  7 -> 33 [size =\"8766464\"]\n  7 -> 34 [size =\"8766464\"]\n  7 -> 41 [size =\"8766464\"]\n  7 -> 43 [size =\"8766464\"]\n  8 [size=\"86417408\", alpha=\"0.18\", expect_size=\"43208704\"] \n  8 -> 24 [size =\"43208704\"]\n  8 -> 25 [size =\"43208704\"]\n  8 -> 27 [size =\"43208704\"]\n  8 -> 33 [size =\"43208704\"]\n  8 -> 34 [size =\"43208704\"]\n  9 [size=\"34881536\", alpha=\"0.18\", expect_size=\"17440768\"] \n  9 -> 25 [size =\"17440768\"]\n  9 -> 27 [size =\"17440768\"]\n  9 -> 31 [size =\"17440768\"]\n  9 -> 32 [size =\"17440768\"]\n  9 -> 34 [size =\"17440768\"]\n  9 -> 38 [size =\"17440768\"]\n  9 -> 44 [size =\"17440768\"]\n  10 [size=\"65902592\", alpha=\"0.06\", expect_size=\"32951296\"] \n  10 -> 25 [size =\"32951296\"]\n  10 -> 33 [size =\"32951296\"]\n  10 -> 36 [size =\"32951296\"]\n  10 -> 39 [size =\"32951296\"]\n  10 -> 44 [size =\"32951296\"]\n  11 [size=\"23541760\", alpha=\"0.12\", expect_size=\"11770880\"] \n  11 -> 20 [size =\"11770880\"]\n  11 -> 24 [size =\"11770880\"]\n  11 -> 26 [size =\"11770880\"]\n  11 -> 32 [size =\"11770880\"]\n  11 -> 33 [size =\"11770880\"]\n  11 -> 36 [size =\"11770880\"]\n  11 -> 42 [size =\"11770880\"]\n  12 [size=\"103184384\", alpha=\"0.20\", expect_size=\"51592192\"] \n  12 -> 24 [size =\"51592192\"]\n  12 -> 30 [size =\"51592192\"]\n  12 -> 31 [size =\"51592192\"]\n  12 -> 33 [size =\"51592192\"]\n  12 -> 34 [size =\"51592192\"]\n  12 -> 35 [size =\"51592192\"]\n  12 -> 37 [size =\"51592192\"]\n  12 -> 39 [size =\"51592192\"]\n  13 [size=\"102574080\", alpha=\"0.02\", expect_size=\"51287040\"] \n  13 -> 19 [size =\"51287040\"]\n  13 -> 27 [size =\"51287040\"]\n  13 -> 31 [size =\"51287040\"]\n  13 -> 33 [size =\"51287040\"]\n  13 -> 34 [size =\"51287040\"]\n  13 -> 39 [size =\"51287040\"]\n  13 -> 41 [size =\"51287040\"]\n  14 [size=\"42676224\", alpha=\"0.20\", expect_size=\"21338112\"] \n  14 -> 19 [size =\"21338112\"]\n  14 -> 23 [size =\"21338112\"]\n  14 -> 24 [size =\"21338112\"]\n  14 -> 25 [size =\"21338112\"]\n  14 -> 26 [size =\"21338112\"]\n  14 -> 31 [size =\"21338112\"]\n  14 -> 34 [size =\"21338112\"]\n  14 -> 36 [size =\"21338112\"]\n  14 -> 37 [size =\"21338112\"]\n  15 [size=\"58812416\", alpha=\"0.11\", expect_size=\"29406208\"] \n  15 -> 23 [size =\"29406208\"]\n  15 -> 26 [size =\"29406208\"]\n  15 -> 28 [size =\"29406208\"]\n  15 -> 31 [size =\"29406208\"]\n  15 -> 36 [size =\"29406208\"]\n  15 -> 39 [size =\"29406208\"]\n  15 -> 40 [size =\"29406208\"]\n  15 -> 44 [size =\"29406208\"]\n  16 [size=\"34293760\", alpha=\"0.07\", expect_size=\"17146880\"] \n  16 -> 25 [size =\"17146880\"]\n  16 -> 27 [size =\"17146880\"]\n  16 -> 33 [size =\"17146880\"]\n  16 -> 34 [size =\"17146880\"]\n  16 -> 35 [size =\"17146880\"]\n  16 -> 36 [size =\"17146880\"]\n  16 -> 39 [size =\"17146880\"]\n  16 -> 41 [size =\"17146880\"]\n  17 [size=\"34152448\", alpha=\"0.06\", expect_size=\"17076224\"] \n  17 -> 19 [size =\"17076224\"]\n  17 -> 21 [size =\"17076224\"]\n  17 -> 25 [size =\"17076224\"]\n  17 -> 29 [size =\"17076224\"]\n  17 -> 32 [size =\"17076224\"]\n  17 -> 34 [size =\"17076224\"]\n  17 -> 36 [size =\"17076224\"]\n  17 -> 41 [size =\"17076224\"]\n  18 [size=\"68206592\", alpha=\"0.13\", expect_size=\"34103296\"] \n  18 -> 24 [size =\"34103296\"]\n  18 -> 27 [size =\"34103296\"]\n  18 -> 31 [size =\"34103296\"]\n  18 -> 36 [size =\"34103296\"]\n  18 -> 40 [size =\"34103296\"]\n  19 [size=\"60276736\", alpha=\"0.05\", expect_size=\"30138368\"] \n  19 -> 45 [size =\"30138368\"]\n  20 [size=\"51191808\", alpha=\"0.18\", expect_size=\"25595904\"] \n  21 [size=\"77305856\", alpha=\"0.17\", expect_size=\"38652928\"] \n  22 [size=\"41070592\", alpha=\"0.08\", expect_size=\"20535296\"] \n  22 -> 45 [size =\"20535296\"]\n  23 [size=\"40912896\", alpha=\"0.13\", expect_size=\"20456448\"] \n  24 [size=\"50554880\", alpha=\"0.15\", expect_size=\"25277440\"] \n  25 [size=\"48920576\", alpha=\"0.16\", expect_size=\"24460288\"] \n  26 [size=\"102426624\", alpha=\"0.12\", expect_size=\"51213312\"] \n  27 [size=\"43112448\", alpha=\"0.10\", expect_size=\"21556224\"] \n  27 -> 45 [size =\"21556224\"]\n  28 [size=\"69849088\", alpha=\"0.04\", expect_size=\"34924544\"] \n  29 [size=\"38582272\", alpha=\"0.03\", expect_size=\"19291136\"] \n  30 [size=\"60557312\", alpha=\"0.14\", expect_size=\"30278656\"] \n  31 [size=\"52613120\", alpha=\"0.07\", expect_size=\"26306560\"] \n  32 [size=\"38004736\", alpha=\"0.01\", expect_size=\"19002368\"] \n  32 -> 45 [size =\"19002368\"]\n  33 [size=\"76156928\", alpha=\"0.13\", expect_size=\"38078464\"] \n  33 -> 45 [size =\"38078464\"]\n  34 [size=\"44492800\", alpha=\"0.13\", expect_size=\"22246400\"] \n  34 -> 45 [size =\"22246400\"]\n  35 [size=\"19042304\", alpha=\"0.03\", expect_size=\"9521152\"] \n  35 -> 45 [size =\"9521152\"]\n  36 [size=\"92184576\", alpha=\"0.18\", expect_size=\"46092288\"] \n  36 -> 45 [size =\"46092288\"]\n  37 [size=\"53841920\", alpha=\"0.18\", expect_size=\"26920960\"] \n  38 [size=\"99801088\", alpha=\"0.10\", expect_size=\"49900544\"] \n  38 -> 45 [size =\"49900544\"]\n  39 [size=\"22884352\", alpha=\"0.13\", expect_size=\"11442176\"] \n  40 [size=\"36229120\", alpha=\"0.04\", expect_size=\"18114560\"] \n  41 [size=\"100882432\", alpha=\"0.09\", expect_size=\"50441216\"] \n  42 [size=\"41154560\", alpha=\"0.01\", expect_size=\"20577280\"] \n  42 -> 45 [size =\"20577280\"]\n  43 [size=\"44122112\", alpha=\"0.20\", expect_size=\"22061056\"] \n  43 -> 45 [size =\"22061056\"]\n  44 [size=\"13125632\", alpha=\"0.07\", expect_size=\"6562816\"] \n  44 -> 45 [size =\"6562816\"]\n  45 [size=\"74729472\", alpha=\"0.02\", expect_size=\"37364736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83722240\", alpha=\"0.16\", expect_size=\"25116672\"] \n  1 -> 7 [size =\"25116672\"]\n  1 -> 8 [size =\"25116672\"]\n  1 -> 9 [size =\"25116672\"]\n  2 [size=\"33727147\", alpha=\"0.05\", expect_size=\"10118144\"] \n  2 -> 6 [size =\"10118144\"]\n  2 -> 7 [size =\"10118144\"]\n  2 -> 9 [size =\"10118144\"]\n  3 [size=\"33378987\", alpha=\"0.13\", expect_size=\"10013696\"] \n  3 -> 6 [size =\"10013696\"]\n  3 -> 8 [size =\"10013696\"]\n  3 -> 9 [size =\"10013696\"]\n  4 [size=\"151825067\", alpha=\"0.05\", expect_size=\"45547520\"] \n  4 -> 8 [size =\"45547520\"]\n  5 [size=\"130109440\", alpha=\"0.03\", expect_size=\"39032832\"] \n  5 -> 8 [size =\"39032832\"]\n  5 -> 9 [size =\"39032832\"]\n  6 [size=\"49537707\", alpha=\"0.12\", expect_size=\"14861312\"] \n  6 -> 10 [size =\"14861312\"]\n  6 -> 12 [size =\"14861312\"]\n  6 -> 13 [size =\"14861312\"]\n  6 -> 14 [size =\"14861312\"]\n  6 -> 15 [size =\"14861312\"]\n  7 [size=\"31156907\", alpha=\"0.13\", expect_size=\"9347072\"] \n  7 -> 10 [size =\"9347072\"]\n  7 -> 13 [size =\"9347072\"]\n  8 [size=\"131604480\", alpha=\"0.17\", expect_size=\"39481344\"] \n  8 -> 11 [size =\"39481344\"]\n  8 -> 13 [size =\"39481344\"]\n  8 -> 15 [size =\"39481344\"]\n  9 [size=\"72659627\", alpha=\"0.02\", expect_size=\"21797888\"] \n  9 -> 11 [size =\"21797888\"]\n  9 -> 12 [size =\"21797888\"]\n  9 -> 14 [size =\"21797888\"]\n  9 -> 15 [size =\"21797888\"]\n  10 [size=\"63590400\", alpha=\"0.06\", expect_size=\"19077120\"] \n  10 -> 18 [size =\"19077120\"]\n  10 -> 22 [size =\"19077120\"]\n  11 [size=\"34123093\", alpha=\"0.02\", expect_size=\"10236928\"] \n  11 -> 16 [size =\"10236928\"]\n  11 -> 17 [size =\"10236928\"]\n  11 -> 20 [size =\"10236928\"]\n  11 -> 21 [size =\"10236928\"]\n  11 -> 22 [size =\"10236928\"]\n  11 -> 23 [size =\"10236928\"]\n  12 [size=\"160897707\", alpha=\"0.16\", expect_size=\"48269312\"] \n  12 -> 17 [size =\"48269312\"]\n  13 [size=\"42697387\", alpha=\"0.15\", expect_size=\"12809216\"] \n  13 -> 17 [size =\"12809216\"]\n  13 -> 19 [size =\"12809216\"]\n  13 -> 20 [size =\"12809216\"]\n  13 -> 21 [size =\"12809216\"]\n  13 -> 23 [size =\"12809216\"]\n  14 [size=\"145991680\", alpha=\"0.11\", expect_size=\"43797504\"] \n  14 -> 19 [size =\"43797504\"]\n  14 -> 20 [size =\"43797504\"]\n  14 -> 23 [size =\"43797504\"]\n  15 [size=\"28996267\", alpha=\"0.12\", expect_size=\"8698880\"] \n  15 -> 16 [size =\"8698880\"]\n  15 -> 18 [size =\"8698880\"]\n  15 -> 19 [size =\"8698880\"]\n  15 -> 20 [size =\"8698880\"]\n  15 -> 22 [size =\"8698880\"]\n  16 [size=\"49476267\", alpha=\"0.01\", expect_size=\"14842880\"] \n  16 -> 24 [size =\"14842880\"]\n  16 -> 26 [size =\"14842880\"]\n  17 [size=\"145203200\", alpha=\"0.14\", expect_size=\"43560960\"] \n  17 -> 25 [size =\"43560960\"]\n  17 -> 26 [size =\"43560960\"]\n  17 -> 27 [size =\"43560960\"]\n  18 [size=\"88320000\", alpha=\"0.18\", expect_size=\"26496000\"] \n  18 -> 27 [size =\"26496000\"]\n  19 [size=\"67768320\", alpha=\"0.19\", expect_size=\"20330496\"] \n  19 -> 24 [size =\"20330496\"]\n  19 -> 27 [size =\"20330496\"]\n  20 [size=\"86336853\", alpha=\"0.09\", expect_size=\"25901056\"] \n  20 -> 24 [size =\"25901056\"]\n  20 -> 27 [size =\"25901056\"]\n  21 [size=\"132379307\", alpha=\"0.08\", expect_size=\"39713792\"] \n  21 -> 24 [size =\"39713792\"]\n  22 [size=\"144848213\", alpha=\"0.09\", expect_size=\"43454464\"] \n  22 -> 26 [size =\"43454464\"]\n  23 [size=\"110428160\", alpha=\"0.12\", expect_size=\"33128448\"] \n  23 -> 25 [size =\"33128448\"]\n  23 -> 26 [size =\"33128448\"]\n  24 [size=\"74857813\", alpha=\"0.13\", expect_size=\"22457344\"] \n  24 -> 28 [size =\"22457344\"]\n  24 -> 29 [size =\"22457344\"]\n  24 -> 31 [size =\"22457344\"]\n  24 -> 33 [size =\"22457344\"]\n  24 -> 35 [size =\"22457344\"]\n  25 [size=\"162563413\", alpha=\"0.07\", expect_size=\"48769024\"] \n  25 -> 28 [size =\"48769024\"]\n  25 -> 29 [size =\"48769024\"]\n  25 -> 30 [size =\"48769024\"]\n  25 -> 35 [size =\"48769024\"]\n  26 [size=\"97768107\", alpha=\"0.06\", expect_size=\"29330432\"] \n  26 -> 29 [size =\"29330432\"]\n  26 -> 30 [size =\"29330432\"]\n  26 -> 31 [size =\"29330432\"]\n  26 -> 32 [size =\"29330432\"]\n  26 -> 34 [size =\"29330432\"]\n  26 -> 35 [size =\"29330432\"]\n  27 [size=\"102929067\", alpha=\"0.06\", expect_size=\"30878720\"] \n  27 -> 32 [size =\"30878720\"]\n  28 [size=\"58453333\", alpha=\"0.01\", expect_size=\"17536000\"] \n  28 -> 39 [size =\"17536000\"]\n  28 -> 40 [size =\"17536000\"]\n  29 [size=\"41891840\", alpha=\"0.03\", expect_size=\"12567552\"] \n  29 -> 39 [size =\"12567552\"]\n  30 [size=\"32081920\", alpha=\"0.10\", expect_size=\"9624576\"] \n  30 -> 36 [size =\"9624576\"]\n  30 -> 37 [size =\"9624576\"]\n  30 -> 39 [size =\"9624576\"]\n  30 -> 40 [size =\"9624576\"]\n  31 [size=\"105379840\", alpha=\"0.00\", expect_size=\"31613952\"] \n  31 -> 37 [size =\"31613952\"]\n  31 -> 39 [size =\"31613952\"]\n  31 -> 40 [size =\"31613952\"]\n  32 [size=\"170748587\", alpha=\"0.08\", expect_size=\"51224576\"] \n  32 -> 39 [size =\"51224576\"]\n  33 [size=\"87149227\", alpha=\"0.19\", expect_size=\"26144768\"] \n  33 -> 39 [size =\"26144768\"]\n  34 [size=\"27781120\", alpha=\"0.07\", expect_size=\"8334336\"] \n  34 -> 36 [size =\"8334336\"]\n  34 -> 37 [size =\"8334336\"]\n  34 -> 40 [size =\"8334336\"]\n  35 [size=\"126989653\", alpha=\"0.16\", expect_size=\"38096896\"] \n  35 -> 38 [size =\"38096896\"]\n  36 [size=\"25552213\", alpha=\"0.09\", expect_size=\"7665664\"] \n  36 -> 44 [size =\"7665664\"]\n  37 [size=\"70106453\", alpha=\"0.19\", expect_size=\"21031936\"] \n  37 -> 41 [size =\"21031936\"]\n  38 [size=\"117043200\", alpha=\"0.17\", expect_size=\"35112960\"] \n  38 -> 41 [size =\"35112960\"]\n  38 -> 43 [size =\"35112960\"]\n  39 [size=\"123211093\", alpha=\"0.02\", expect_size=\"36963328\"] \n  39 -> 41 [size =\"36963328\"]\n  39 -> 42 [size =\"36963328\"]\n  40 [size=\"143790080\", alpha=\"0.15\", expect_size=\"43137024\"] \n  40 -> 41 [size =\"43137024\"]\n  40 -> 43 [size =\"43137024\"]\n  40 -> 44 [size =\"43137024\"]\n  41 [size=\"67611307\", alpha=\"0.03\", expect_size=\"20283392\"] \n  42 [size=\"68608000\", alpha=\"0.08\", expect_size=\"20582400\"] \n  42 -> 45 [size =\"20582400\"]\n  43 [size=\"132922027\", alpha=\"0.04\", expect_size=\"39876608\"] \n  43 -> 45 [size =\"39876608\"]\n  44 [size=\"128481280\", alpha=\"0.07\", expect_size=\"38544384\"] \n  44 -> 45 [size =\"38544384\"]\n  45 [size=\"26525013\", alpha=\"0.09\", expect_size=\"7957504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90667520\", alpha=\"0.04\", expect_size=\"36267008\"] \n  1 -> 43 [size =\"36267008\"]\n  1 -> 43 [size =\"36267008\"]\n  1 -> 45 [size =\"36267008\"]\n  2 [size=\"105935360\", alpha=\"0.20\", expect_size=\"42374144\"] \n  2 -> 41 [size =\"42374144\"]\n  2 -> 43 [size =\"42374144\"]\n  3 [size=\"84615680\", alpha=\"0.13\", expect_size=\"33846272\"] \n  3 -> 41 [size =\"33846272\"]\n  3 -> 43 [size =\"33846272\"]\n  3 -> 45 [size =\"33846272\"]\n  4 [size=\"35660800\", alpha=\"0.10\", expect_size=\"14264320\"] \n  4 -> 41 [size =\"14264320\"]\n  4 -> 43 [size =\"14264320\"]\n  5 [size=\"90593280\", alpha=\"0.19\", expect_size=\"36237312\"] \n  5 -> 41 [size =\"36237312\"]\n  5 -> 42 [size =\"36237312\"]\n  5 -> 44 [size =\"36237312\"]\n  6 [size=\"45204480\", alpha=\"0.03\", expect_size=\"18081792\"] \n  6 -> 44 [size =\"18081792\"]\n  6 -> 45 [size =\"18081792\"]\n  7 [size=\"89489920\", alpha=\"0.07\", expect_size=\"35795968\"] \n  7 -> 42 [size =\"35795968\"]\n  7 -> 43 [size =\"35795968\"]\n  7 -> 44 [size =\"35795968\"]\n  8 [size=\"25904640\", alpha=\"0.07\", expect_size=\"10361856\"] \n  8 -> 41 [size =\"10361856\"]\n  8 -> 43 [size =\"10361856\"]\n  8 -> 44 [size =\"10361856\"]\n  9 [size=\"112473600\", alpha=\"0.05\", expect_size=\"44989440\"] \n  9 -> 41 [size =\"44989440\"]\n  9 -> 42 [size =\"44989440\"]\n  9 -> 43 [size =\"44989440\"]\n  10 [size=\"17822720\", alpha=\"0.02\", expect_size=\"7129088\"] \n  10 -> 41 [size =\"7129088\"]\n  10 -> 42 [size =\"7129088\"]\n  10 -> 43 [size =\"7129088\"]\n  11 [size=\"41569280\", alpha=\"0.20\", expect_size=\"16627712\"] \n  11 -> 41 [size =\"16627712\"]\n  11 -> 42 [size =\"16627712\"]\n  12 [size=\"66342400\", alpha=\"0.17\", expect_size=\"26536960\"] \n  12 -> 41 [size =\"26536960\"]\n  12 -> 43 [size =\"26536960\"]\n  13 [size=\"63462400\", alpha=\"0.14\", expect_size=\"25384960\"] \n  13 -> 43 [size =\"25384960\"]\n  13 -> 43 [size =\"25384960\"]\n  14 [size=\"19427840\", alpha=\"0.17\", expect_size=\"7771136\"] \n  14 -> 45 [size =\"7771136\"]\n  15 [size=\"77084160\", alpha=\"0.05\", expect_size=\"30833664\"] \n  15 -> 41 [size =\"30833664\"]\n  15 -> 42 [size =\"30833664\"]\n  16 [size=\"71564800\", alpha=\"0.08\", expect_size=\"28625920\"] \n  16 -> 44 [size =\"28625920\"]\n  16 -> 45 [size =\"28625920\"]\n  17 [size=\"87490560\", alpha=\"0.02\", expect_size=\"34996224\"] \n  17 -> 43 [size =\"34996224\"]\n  17 -> 44 [size =\"34996224\"]\n  17 -> 45 [size =\"34996224\"]\n  18 [size=\"125893120\", alpha=\"0.07\", expect_size=\"50357248\"] \n  18 -> 41 [size =\"50357248\"]\n  19 [size=\"49638400\", alpha=\"0.10\", expect_size=\"19855360\"] \n  19 -> 43 [size =\"19855360\"]\n  20 [size=\"80368640\", alpha=\"0.17\", expect_size=\"32147456\"] \n  20 -> 41 [size =\"32147456\"]\n  20 -> 43 [size =\"32147456\"]\n  20 -> 44 [size =\"32147456\"]\n  21 [size=\"91911680\", alpha=\"0.16\", expect_size=\"36764672\"] \n  21 -> 41 [size =\"36764672\"]\n  21 -> 43 [size =\"36764672\"]\n  22 [size=\"90337280\", alpha=\"0.12\", expect_size=\"36134912\"] \n  22 -> 44 [size =\"36134912\"]\n  22 -> 45 [size =\"36134912\"]\n  23 [size=\"71549440\", alpha=\"0.19\", expect_size=\"28619776\"] \n  24 [size=\"37798400\", alpha=\"0.11\", expect_size=\"15119360\"] \n  25 [size=\"17180160\", alpha=\"0.15\", expect_size=\"6872064\"] \n  25 -> 41 [size =\"6872064\"]\n  25 -> 42 [size =\"6872064\"]\n  25 -> 43 [size =\"6872064\"]\n  25 -> 44 [size =\"6872064\"]\n  26 [size=\"43939840\", alpha=\"0.05\", expect_size=\"17575936\"] \n  26 -> 41 [size =\"17575936\"]\n  26 -> 42 [size =\"17575936\"]\n  26 -> 44 [size =\"17575936\"]\n  27 [size=\"90088960\", alpha=\"0.08\", expect_size=\"36035584\"] \n  27 -> 41 [size =\"36035584\"]\n  27 -> 44 [size =\"36035584\"]\n  27 -> 44 [size =\"36035584\"]\n  27 -> 45 [size =\"36035584\"]\n  28 [size=\"99407360\", alpha=\"0.13\", expect_size=\"39762944\"] \n  28 -> 43 [size =\"39762944\"]\n  28 -> 44 [size =\"39762944\"]\n  29 [size=\"22515200\", alpha=\"0.15\", expect_size=\"9006080\"] \n  29 -> 41 [size =\"9006080\"]\n  29 -> 42 [size =\"9006080\"]\n  29 -> 44 [size =\"9006080\"]\n  30 [size=\"81950720\", alpha=\"0.18\", expect_size=\"32780288\"] \n  30 -> 41 [size =\"32780288\"]\n  30 -> 44 [size =\"32780288\"]\n  30 -> 44 [size =\"32780288\"]\n  31 [size=\"61921280\", alpha=\"0.05\", expect_size=\"24768512\"] \n  31 -> 42 [size =\"24768512\"]\n  31 -> 43 [size =\"24768512\"]\n  32 [size=\"39992320\", alpha=\"0.02\", expect_size=\"15996928\"] \n  32 -> 41 [size =\"15996928\"]\n  32 -> 42 [size =\"15996928\"]\n  33 [size=\"108989440\", alpha=\"0.07\", expect_size=\"43595776\"] \n  33 -> 41 [size =\"43595776\"]\n  33 -> 42 [size =\"43595776\"]\n  33 -> 45 [size =\"43595776\"]\n  34 [size=\"104491520\", alpha=\"0.13\", expect_size=\"41796608\"] \n  34 -> 41 [size =\"41796608\"]\n  34 -> 43 [size =\"41796608\"]\n  35 [size=\"49057280\", alpha=\"0.10\", expect_size=\"19622912\"] \n  35 -> 41 [size =\"19622912\"]\n  35 -> 42 [size =\"19622912\"]\n  35 -> 43 [size =\"19622912\"]\n  35 -> 45 [size =\"19622912\"]\n  36 [size=\"20172800\", alpha=\"0.17\", expect_size=\"8069120\"] \n  36 -> 42 [size =\"8069120\"]\n  36 -> 43 [size =\"8069120\"]\n  36 -> 44 [size =\"8069120\"]\n  37 [size=\"49935360\", alpha=\"0.16\", expect_size=\"19974144\"] \n  37 -> 45 [size =\"19974144\"]\n  38 [size=\"96762880\", alpha=\"0.15\", expect_size=\"38705152\"] \n  39 [size=\"55493120\", alpha=\"0.00\", expect_size=\"22197248\"] \n  39 -> 42 [size =\"22197248\"]\n  40 [size=\"25492480\", alpha=\"0.16\", expect_size=\"10196992\"] \n  40 -> 42 [size =\"10196992\"]\n  40 -> 43 [size =\"10196992\"]\n  41 [size=\"129438720\", alpha=\"0.06\", expect_size=\"51775488\"] \n  42 [size=\"41907200\", alpha=\"0.09\", expect_size=\"16762880\"] \n  43 [size=\"52060160\", alpha=\"0.01\", expect_size=\"20824064\"] \n  44 [size=\"92290560\", alpha=\"0.18\", expect_size=\"36916224\"] \n  45 [size=\"50956800\", alpha=\"0.16\", expect_size=\"20382720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76700160\", alpha=\"0.10\", expect_size=\"30680064\"] \n  1 -> 7 [size =\"30680064\"]\n  2 [size=\"120437760\", alpha=\"0.13\", expect_size=\"48175104\"] \n  3 [size=\"50385920\", alpha=\"0.06\", expect_size=\"20154368\"] \n  3 -> 7 [size =\"20154368\"]\n  3 -> 8 [size =\"20154368\"]\n  3 -> 11 [size =\"20154368\"]\n  4 [size=\"18408960\", alpha=\"0.06\", expect_size=\"7363584\"] \n  4 -> 9 [size =\"7363584\"]\n  5 [size=\"47226880\", alpha=\"0.17\", expect_size=\"18890752\"] \n  5 -> 9 [size =\"18890752\"]\n  5 -> 11 [size =\"18890752\"]\n  6 [size=\"39040000\", alpha=\"0.15\", expect_size=\"15616000\"] \n  6 -> 10 [size =\"15616000\"]\n  7 [size=\"76367360\", alpha=\"0.03\", expect_size=\"30546944\"] \n  7 -> 13 [size =\"30546944\"]\n  8 [size=\"77473280\", alpha=\"0.03\", expect_size=\"30989312\"] \n  9 [size=\"108124160\", alpha=\"0.15\", expect_size=\"43249664\"] \n  9 -> 12 [size =\"43249664\"]\n  9 -> 15 [size =\"43249664\"]\n  9 -> 16 [size =\"43249664\"]\n  10 [size=\"16688640\", alpha=\"0.16\", expect_size=\"6675456\"] \n  10 -> 16 [size =\"6675456\"]\n  11 [size=\"41776640\", alpha=\"0.09\", expect_size=\"16710656\"] \n  11 -> 14 [size =\"16710656\"]\n  11 -> 16 [size =\"16710656\"]\n  12 [size=\"101882880\", alpha=\"0.01\", expect_size=\"40753152\"] \n  12 -> 17 [size =\"40753152\"]\n  12 -> 18 [size =\"40753152\"]\n  12 -> 19 [size =\"40753152\"]\n  12 -> 21 [size =\"40753152\"]\n  13 [size=\"58639360\", alpha=\"0.07\", expect_size=\"23455744\"] \n  13 -> 17 [size =\"23455744\"]\n  13 -> 20 [size =\"23455744\"]\n  13 -> 22 [size =\"23455744\"]\n  14 [size=\"93150720\", alpha=\"0.16\", expect_size=\"37260288\"] \n  14 -> 18 [size =\"37260288\"]\n  14 -> 20 [size =\"37260288\"]\n  15 [size=\"126469120\", alpha=\"0.10\", expect_size=\"50587648\"] \n  15 -> 21 [size =\"50587648\"]\n  15 -> 22 [size =\"50587648\"]\n  16 [size=\"107468800\", alpha=\"0.06\", expect_size=\"42987520\"] \n  16 -> 20 [size =\"42987520\"]\n  17 [size=\"77701120\", alpha=\"0.05\", expect_size=\"31080448\"] \n  17 -> 23 [size =\"31080448\"]\n  18 [size=\"95467520\", alpha=\"0.15\", expect_size=\"38187008\"] \n  18 -> 26 [size =\"38187008\"]\n  18 -> 27 [size =\"38187008\"]\n  18 -> 28 [size =\"38187008\"]\n  19 [size=\"116075520\", alpha=\"0.15\", expect_size=\"46430208\"] \n  19 -> 24 [size =\"46430208\"]\n  19 -> 28 [size =\"46430208\"]\n  20 [size=\"86446080\", alpha=\"0.17\", expect_size=\"34578432\"] \n  20 -> 24 [size =\"34578432\"]\n  20 -> 25 [size =\"34578432\"]\n  20 -> 26 [size =\"34578432\"]\n  20 -> 27 [size =\"34578432\"]\n  21 [size=\"64017920\", alpha=\"0.09\", expect_size=\"25607168\"] \n  22 [size=\"117120000\", alpha=\"0.20\", expect_size=\"46848000\"] \n  23 [size=\"121397760\", alpha=\"0.17\", expect_size=\"48559104\"] \n  23 -> 30 [size =\"48559104\"]\n  24 [size=\"44188160\", alpha=\"0.15\", expect_size=\"17675264\"] \n  24 -> 29 [size =\"17675264\"]\n  24 -> 30 [size =\"17675264\"]\n  24 -> 32 [size =\"17675264\"]\n  25 [size=\"20113920\", alpha=\"0.18\", expect_size=\"8045568\"] \n  25 -> 29 [size =\"8045568\"]\n  25 -> 30 [size =\"8045568\"]\n  25 -> 31 [size =\"8045568\"]\n  25 -> 32 [size =\"8045568\"]\n  26 [size=\"81164800\", alpha=\"0.06\", expect_size=\"32465920\"] \n  26 -> 32 [size =\"32465920\"]\n  27 [size=\"118758400\", alpha=\"0.05\", expect_size=\"47503360\"] \n  28 [size=\"30461440\", alpha=\"0.15\", expect_size=\"12184576\"] \n  28 -> 33 [size =\"12184576\"]\n  29 [size=\"117327360\", alpha=\"0.01\", expect_size=\"46930944\"] \n  29 -> 37 [size =\"46930944\"]\n  30 [size=\"87580160\", alpha=\"0.07\", expect_size=\"35032064\"] \n  30 -> 35 [size =\"35032064\"]\n  31 [size=\"67822080\", alpha=\"0.18\", expect_size=\"27128832\"] \n  31 -> 34 [size =\"27128832\"]\n  31 -> 36 [size =\"27128832\"]\n  31 -> 38 [size =\"27128832\"]\n  32 [size=\"121648640\", alpha=\"0.05\", expect_size=\"48659456\"] \n  32 -> 36 [size =\"48659456\"]\n  32 -> 38 [size =\"48659456\"]\n  33 [size=\"120465920\", alpha=\"0.19\", expect_size=\"48186368\"] \n  33 -> 36 [size =\"48186368\"]\n  33 -> 37 [size =\"48186368\"]\n  34 [size=\"101550080\", alpha=\"0.07\", expect_size=\"40620032\"] \n  34 -> 39 [size =\"40620032\"]\n  34 -> 42 [size =\"40620032\"]\n  35 [size=\"70205440\", alpha=\"0.13\", expect_size=\"28082176\"] \n  36 [size=\"60554240\", alpha=\"0.16\", expect_size=\"24221696\"] \n  37 [size=\"98526720\", alpha=\"0.10\", expect_size=\"39410688\"] \n  37 -> 40 [size =\"39410688\"]\n  37 -> 43 [size =\"39410688\"]\n  38 [size=\"129423360\", alpha=\"0.18\", expect_size=\"51769344\"] \n  38 -> 39 [size =\"51769344\"]\n  38 -> 41 [size =\"51769344\"]\n  38 -> 42 [size =\"51769344\"]\n  39 [size=\"99642880\", alpha=\"0.03\", expect_size=\"39857152\"] \n  39 -> 45 [size =\"39857152\"]\n  40 [size=\"104207360\", alpha=\"0.01\", expect_size=\"41682944\"] \n  40 -> 44 [size =\"41682944\"]\n  41 [size=\"28733440\", alpha=\"0.07\", expect_size=\"11493376\"] \n  42 [size=\"19852800\", alpha=\"0.11\", expect_size=\"7941120\"] \n  42 -> 44 [size =\"7941120\"]\n  42 -> 45 [size =\"7941120\"]\n  43 [size=\"48384000\", alpha=\"0.13\", expect_size=\"19353600\"] \n  43 -> 44 [size =\"19353600\"]\n  43 -> 45 [size =\"19353600\"]\n  44 [size=\"41891840\", alpha=\"0.01\", expect_size=\"16756736\"] \n  45 [size=\"80424960\", alpha=\"0.09\", expect_size=\"32169984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51841024\", alpha=\"0.19\", expect_size=\"25920512\"] \n  1 -> 5 [size =\"25920512\"]\n  2 [size=\"95967232\", alpha=\"0.12\", expect_size=\"47983616\"] \n  2 -> 4 [size =\"47983616\"]\n  3 [size=\"28286976\", alpha=\"0.04\", expect_size=\"14143488\"] \n  3 -> 5 [size =\"14143488\"]\n  4 [size=\"99065856\", alpha=\"0.16\", expect_size=\"49532928\"] \n  4 -> 6 [size =\"49532928\"]\n  4 -> 7 [size =\"49532928\"]\n  5 [size=\"37963776\", alpha=\"0.03\", expect_size=\"18981888\"] \n  5 -> 6 [size =\"18981888\"]\n  5 -> 7 [size =\"18981888\"]\n  6 [size=\"72652800\", alpha=\"0.02\", expect_size=\"36326400\"] \n  6 -> 9 [size =\"36326400\"]\n  6 -> 10 [size =\"36326400\"]\n  7 [size=\"41465856\", alpha=\"0.05\", expect_size=\"20732928\"] \n  7 -> 8 [size =\"20732928\"]\n  7 -> 9 [size =\"20732928\"]\n  7 -> 10 [size =\"20732928\"]\n  8 [size=\"25167872\", alpha=\"0.08\", expect_size=\"12583936\"] \n  8 -> 12 [size =\"12583936\"]\n  8 -> 13 [size =\"12583936\"]\n  8 -> 14 [size =\"12583936\"]\n  9 [size=\"104226816\", alpha=\"0.12\", expect_size=\"52113408\"] \n  9 -> 11 [size =\"52113408\"]\n  9 -> 12 [size =\"52113408\"]\n  9 -> 13 [size =\"52113408\"]\n  10 [size=\"68554752\", alpha=\"0.16\", expect_size=\"34277376\"] \n  10 -> 11 [size =\"34277376\"]\n  10 -> 14 [size =\"34277376\"]\n  11 [size=\"52287488\", alpha=\"0.11\", expect_size=\"26143744\"] \n  11 -> 15 [size =\"26143744\"]\n  11 -> 16 [size =\"26143744\"]\n  12 [size=\"46166016\", alpha=\"0.04\", expect_size=\"23083008\"] \n  12 -> 17 [size =\"23083008\"]\n  13 [size=\"101924864\", alpha=\"0.10\", expect_size=\"50962432\"] \n  13 -> 15 [size =\"50962432\"]\n  13 -> 17 [size =\"50962432\"]\n  14 [size=\"24436736\", alpha=\"0.12\", expect_size=\"12218368\"] \n  14 -> 17 [size =\"12218368\"]\n  14 -> 17 [size =\"12218368\"]\n  15 [size=\"99225600\", alpha=\"0.10\", expect_size=\"49612800\"] \n  15 -> 18 [size =\"49612800\"]\n  15 -> 19 [size =\"49612800\"]\n  16 [size=\"18604032\", alpha=\"0.02\", expect_size=\"9302016\"] \n  16 -> 19 [size =\"9302016\"]\n  17 [size=\"27234304\", alpha=\"0.19\", expect_size=\"13617152\"] \n  17 -> 18 [size =\"13617152\"]\n  17 -> 19 [size =\"13617152\"]\n  18 [size=\"50526208\", alpha=\"0.11\", expect_size=\"25263104\"] \n  18 -> 20 [size =\"25263104\"]\n  19 [size=\"89329664\", alpha=\"0.07\", expect_size=\"44664832\"] \n  20 [size=\"52236288\", alpha=\"0.08\", expect_size=\"26118144\"] \n  20 -> 21 [size =\"26118144\"]\n  20 -> 22 [size =\"26118144\"]\n  20 -> 23 [size =\"26118144\"]\n  21 [size=\"32110592\", alpha=\"0.18\", expect_size=\"16055296\"] \n  21 -> 24 [size =\"16055296\"]\n  21 -> 25 [size =\"16055296\"]\n  21 -> 26 [size =\"16055296\"]\n  22 [size=\"85862400\", alpha=\"0.05\", expect_size=\"42931200\"] \n  22 -> 24 [size =\"42931200\"]\n  22 -> 25 [size =\"42931200\"]\n  22 -> 26 [size =\"42931200\"]\n  23 [size=\"11048960\", alpha=\"0.17\", expect_size=\"5524480\"] \n  23 -> 24 [size =\"5524480\"]\n  23 -> 25 [size =\"5524480\"]\n  24 [size=\"56289280\", alpha=\"0.07\", expect_size=\"28144640\"] \n  24 -> 27 [size =\"28144640\"]\n  25 [size=\"19666944\", alpha=\"0.03\", expect_size=\"9833472\"] \n  25 -> 27 [size =\"9833472\"]\n  26 [size=\"68349952\", alpha=\"0.13\", expect_size=\"34174976\"] \n  26 -> 27 [size =\"34174976\"]\n  27 [size=\"76810240\", alpha=\"0.08\", expect_size=\"38405120\"] \n  27 -> 28 [size =\"38405120\"]\n  27 -> 29 [size =\"38405120\"]\n  27 -> 30 [size =\"38405120\"]\n  27 -> 31 [size =\"38405120\"]\n  28 [size=\"73250816\", alpha=\"0.07\", expect_size=\"36625408\"] \n  28 -> 32 [size =\"36625408\"]\n  28 -> 33 [size =\"36625408\"]\n  29 [size=\"30552064\", alpha=\"0.06\", expect_size=\"15276032\"] \n  29 -> 33 [size =\"15276032\"]\n  30 [size=\"63596544\", alpha=\"0.17\", expect_size=\"31798272\"] \n  30 -> 33 [size =\"31798272\"]\n  31 [size=\"100761600\", alpha=\"0.17\", expect_size=\"50380800\"] \n  31 -> 32 [size =\"50380800\"]\n  31 -> 33 [size =\"50380800\"]\n  32 [size=\"89028608\", alpha=\"0.05\", expect_size=\"44514304\"] \n  32 -> 34 [size =\"44514304\"]\n  32 -> 35 [size =\"44514304\"]\n  33 [size=\"19513344\", alpha=\"0.12\", expect_size=\"9756672\"] \n  33 -> 34 [size =\"9756672\"]\n  33 -> 35 [size =\"9756672\"]\n  34 [size=\"98756608\", alpha=\"0.02\", expect_size=\"49378304\"] \n  34 -> 36 [size =\"49378304\"]\n  34 -> 37 [size =\"49378304\"]\n  34 -> 38 [size =\"49378304\"]\n  35 [size=\"37853184\", alpha=\"0.10\", expect_size=\"18926592\"] \n  35 -> 37 [size =\"18926592\"]\n  35 -> 38 [size =\"18926592\"]\n  36 [size=\"53024768\", alpha=\"0.01\", expect_size=\"26512384\"] \n  36 -> 39 [size =\"26512384\"]\n  37 [size=\"17698816\", alpha=\"0.15\", expect_size=\"8849408\"] \n  37 -> 39 [size =\"8849408\"]\n  37 -> 40 [size =\"8849408\"]\n  38 [size=\"57223168\", alpha=\"0.17\", expect_size=\"28611584\"] \n  38 -> 39 [size =\"28611584\"]\n  39 [size=\"91910144\", alpha=\"0.17\", expect_size=\"45955072\"] \n  39 -> 41 [size =\"45955072\"]\n  39 -> 42 [size =\"45955072\"]\n  40 [size=\"26757120\", alpha=\"0.05\", expect_size=\"13378560\"] \n  40 -> 41 [size =\"13378560\"]\n  41 [size=\"14206976\", alpha=\"0.17\", expect_size=\"7103488\"] \n  41 -> 43 [size =\"7103488\"]\n  41 -> 44 [size =\"7103488\"]\n  41 -> 45 [size =\"7103488\"]\n  42 [size=\"96063488\", alpha=\"0.06\", expect_size=\"48031744\"] \n  42 -> 44 [size =\"48031744\"]\n  42 -> 45 [size =\"48031744\"]\n  43 [size=\"24893440\", alpha=\"0.14\", expect_size=\"12446720\"] \n  44 [size=\"80875520\", alpha=\"0.13\", expect_size=\"40437760\"] \n  45 [size=\"89225216\", alpha=\"0.13\", expect_size=\"44612608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128568320\", alpha=\"0.16\", expect_size=\"51427328\"] \n  1 -> 41 [size =\"51427328\"]\n  2 [size=\"86051840\", alpha=\"0.15\", expect_size=\"34420736\"] \n  2 -> 39 [size =\"34420736\"]\n  2 -> 40 [size =\"34420736\"]\n  2 -> 44 [size =\"34420736\"]\n  2 -> 45 [size =\"34420736\"]\n  3 [size=\"124820480\", alpha=\"0.14\", expect_size=\"49928192\"] \n  3 -> 39 [size =\"49928192\"]\n  3 -> 44 [size =\"49928192\"]\n  4 [size=\"92392960\", alpha=\"0.06\", expect_size=\"36957184\"] \n  4 -> 39 [size =\"36957184\"]\n  4 -> 43 [size =\"36957184\"]\n  4 -> 44 [size =\"36957184\"]\n  5 [size=\"86010880\", alpha=\"0.11\", expect_size=\"34404352\"] \n  5 -> 39 [size =\"34404352\"]\n  5 -> 41 [size =\"34404352\"]\n  6 [size=\"56942080\", alpha=\"0.12\", expect_size=\"22776832\"] \n  6 -> 41 [size =\"22776832\"]\n  7 [size=\"83699200\", alpha=\"0.11\", expect_size=\"33479680\"] \n  7 -> 39 [size =\"33479680\"]\n  8 [size=\"114007040\", alpha=\"0.15\", expect_size=\"45602816\"] \n  8 -> 42 [size =\"45602816\"]\n  8 -> 43 [size =\"45602816\"]\n  8 -> 45 [size =\"45602816\"]\n  9 [size=\"86845440\", alpha=\"0.07\", expect_size=\"34738176\"] \n  9 -> 44 [size =\"34738176\"]\n  9 -> 45 [size =\"34738176\"]\n  10 [size=\"66421760\", alpha=\"0.07\", expect_size=\"26568704\"] \n  10 -> 40 [size =\"26568704\"]\n  10 -> 43 [size =\"26568704\"]\n  11 [size=\"88294400\", alpha=\"0.13\", expect_size=\"35317760\"] \n  11 -> 41 [size =\"35317760\"]\n  11 -> 42 [size =\"35317760\"]\n  12 [size=\"67166720\", alpha=\"0.04\", expect_size=\"26866688\"] \n  12 -> 41 [size =\"26866688\"]\n  12 -> 44 [size =\"26866688\"]\n  13 [size=\"38113280\", alpha=\"0.11\", expect_size=\"15245312\"] \n  13 -> 39 [size =\"15245312\"]\n  13 -> 43 [size =\"15245312\"]\n  13 -> 44 [size =\"15245312\"]\n  14 [size=\"119864320\", alpha=\"0.02\", expect_size=\"47945728\"] \n  14 -> 41 [size =\"47945728\"]\n  14 -> 43 [size =\"47945728\"]\n  15 [size=\"38548480\", alpha=\"0.15\", expect_size=\"15419392\"] \n  15 -> 39 [size =\"15419392\"]\n  15 -> 41 [size =\"15419392\"]\n  15 -> 42 [size =\"15419392\"]\n  15 -> 44 [size =\"15419392\"]\n  16 [size=\"104171520\", alpha=\"0.02\", expect_size=\"41668608\"] \n  16 -> 39 [size =\"41668608\"]\n  16 -> 42 [size =\"41668608\"]\n  16 -> 42 [size =\"41668608\"]\n  16 -> 43 [size =\"41668608\"]\n  16 -> 44 [size =\"41668608\"]\n  17 [size=\"59589120\", alpha=\"0.03\", expect_size=\"23835648\"] \n  17 -> 44 [size =\"23835648\"]\n  18 [size=\"125821440\", alpha=\"0.06\", expect_size=\"50328576\"] \n  18 -> 39 [size =\"50328576\"]\n  18 -> 43 [size =\"50328576\"]\n  18 -> 44 [size =\"50328576\"]\n  19 [size=\"96570880\", alpha=\"0.13\", expect_size=\"38628352\"] \n  19 -> 39 [size =\"38628352\"]\n  19 -> 41 [size =\"38628352\"]\n  19 -> 42 [size =\"38628352\"]\n  19 -> 43 [size =\"38628352\"]\n  19 -> 44 [size =\"38628352\"]\n  19 -> 45 [size =\"38628352\"]\n  20 [size=\"19005440\", alpha=\"0.04\", expect_size=\"7602176\"] \n  21 [size=\"58508800\", alpha=\"0.15\", expect_size=\"23403520\"] \n  21 -> 41 [size =\"23403520\"]\n  21 -> 42 [size =\"23403520\"]\n  21 -> 45 [size =\"23403520\"]\n  22 [size=\"17213440\", alpha=\"0.18\", expect_size=\"6885376\"] \n  22 -> 41 [size =\"6885376\"]\n  22 -> 44 [size =\"6885376\"]\n  23 [size=\"38072320\", alpha=\"0.20\", expect_size=\"15228928\"] \n  23 -> 39 [size =\"15228928\"]\n  23 -> 41 [size =\"15228928\"]\n  23 -> 43 [size =\"15228928\"]\n  24 [size=\"104834560\", alpha=\"0.15\", expect_size=\"41933824\"] \n  24 -> 39 [size =\"41933824\"]\n  24 -> 41 [size =\"41933824\"]\n  24 -> 42 [size =\"41933824\"]\n  25 [size=\"115991040\", alpha=\"0.03\", expect_size=\"46396416\"] \n  25 -> 39 [size =\"46396416\"]\n  25 -> 42 [size =\"46396416\"]\n  25 -> 43 [size =\"46396416\"]\n  26 [size=\"88302080\", alpha=\"0.18\", expect_size=\"35320832\"] \n  26 -> 44 [size =\"35320832\"]\n  27 [size=\"100410880\", alpha=\"0.05\", expect_size=\"40164352\"] \n  27 -> 39 [size =\"40164352\"]\n  27 -> 44 [size =\"40164352\"]\n  28 [size=\"116021760\", alpha=\"0.09\", expect_size=\"46408704\"] \n  28 -> 39 [size =\"46408704\"]\n  29 [size=\"33323520\", alpha=\"0.06\", expect_size=\"13329408\"] \n  29 -> 39 [size =\"13329408\"]\n  29 -> 45 [size =\"13329408\"]\n  30 [size=\"110167040\", alpha=\"0.11\", expect_size=\"44066816\"] \n  30 -> 43 [size =\"44066816\"]\n  30 -> 44 [size =\"44066816\"]\n  30 -> 45 [size =\"44066816\"]\n  31 [size=\"16076800\", alpha=\"0.10\", expect_size=\"6430720\"] \n  31 -> 39 [size =\"6430720\"]\n  31 -> 42 [size =\"6430720\"]\n  31 -> 43 [size =\"6430720\"]\n  31 -> 45 [size =\"6430720\"]\n  32 [size=\"102446080\", alpha=\"0.18\", expect_size=\"40978432\"] \n  32 -> 42 [size =\"40978432\"]\n  32 -> 43 [size =\"40978432\"]\n  33 [size=\"88322560\", alpha=\"0.10\", expect_size=\"35329024\"] \n  33 -> 41 [size =\"35329024\"]\n  33 -> 43 [size =\"35329024\"]\n  33 -> 44 [size =\"35329024\"]\n  33 -> 45 [size =\"35329024\"]\n  34 [size=\"85424640\", alpha=\"0.20\", expect_size=\"34169856\"] \n  34 -> 41 [size =\"34169856\"]\n  34 -> 43 [size =\"34169856\"]\n  34 -> 45 [size =\"34169856\"]\n  35 [size=\"55075840\", alpha=\"0.14\", expect_size=\"22030336\"] \n  35 -> 39 [size =\"22030336\"]\n  35 -> 45 [size =\"22030336\"]\n  35 -> 45 [size =\"22030336\"]\n  36 [size=\"70179840\", alpha=\"0.04\", expect_size=\"28071936\"] \n  36 -> 41 [size =\"28071936\"]\n  36 -> 42 [size =\"28071936\"]\n  36 -> 43 [size =\"28071936\"]\n  36 -> 44 [size =\"28071936\"]\n  37 [size=\"56609280\", alpha=\"0.01\", expect_size=\"22643712\"] \n  37 -> 39 [size =\"22643712\"]\n  37 -> 45 [size =\"22643712\"]\n  38 [size=\"84961280\", alpha=\"0.18\", expect_size=\"33984512\"] \n  38 -> 45 [size =\"33984512\"]\n  39 [size=\"20203520\", alpha=\"0.09\", expect_size=\"8081408\"] \n  40 [size=\"54041600\", alpha=\"0.01\", expect_size=\"21616640\"] \n  41 [size=\"121827840\", alpha=\"0.00\", expect_size=\"48731136\"] \n  42 [size=\"62817280\", alpha=\"0.01\", expect_size=\"25126912\"] \n  43 [size=\"49039360\", alpha=\"0.05\", expect_size=\"19615744\"] \n  44 [size=\"105497600\", alpha=\"0.05\", expect_size=\"42199040\"] \n  45 [size=\"103024640\", alpha=\"0.03\", expect_size=\"41209856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104239787\", alpha=\"0.10\", expect_size=\"31271936\"] \n  1 -> 6 [size =\"31271936\"]\n  1 -> 7 [size =\"31271936\"]\n  2 [size=\"68273493\", alpha=\"0.12\", expect_size=\"20482048\"] \n  2 -> 7 [size =\"20482048\"]\n  2 -> 8 [size =\"20482048\"]\n  3 [size=\"108697600\", alpha=\"0.18\", expect_size=\"32609280\"] \n  3 -> 7 [size =\"32609280\"]\n  4 [size=\"50783573\", alpha=\"0.15\", expect_size=\"15235072\"] \n  4 -> 5 [size =\"15235072\"]\n  5 [size=\"36932267\", alpha=\"0.12\", expect_size=\"11079680\"] \n  5 -> 9 [size =\"11079680\"]\n  5 -> 11 [size =\"11079680\"]\n  5 -> 12 [size =\"11079680\"]\n  5 -> 13 [size =\"11079680\"]\n  5 -> 14 [size =\"11079680\"]\n  6 [size=\"34519040\", alpha=\"0.00\", expect_size=\"10355712\"] \n  6 -> 13 [size =\"10355712\"]\n  6 -> 14 [size =\"10355712\"]\n  7 [size=\"131109547\", alpha=\"0.01\", expect_size=\"39332864\"] \n  7 -> 10 [size =\"39332864\"]\n  7 -> 11 [size =\"39332864\"]\n  7 -> 12 [size =\"39332864\"]\n  8 [size=\"136649387\", alpha=\"0.01\", expect_size=\"40994816\"] \n  8 -> 10 [size =\"40994816\"]\n  8 -> 11 [size =\"40994816\"]\n  8 -> 14 [size =\"40994816\"]\n  9 [size=\"70410240\", alpha=\"0.05\", expect_size=\"21123072\"] \n  9 -> 17 [size =\"21123072\"]\n  9 -> 18 [size =\"21123072\"]\n  9 -> 19 [size =\"21123072\"]\n  9 -> 21 [size =\"21123072\"]\n  10 [size=\"157518507\", alpha=\"0.02\", expect_size=\"47255552\"] \n  10 -> 17 [size =\"47255552\"]\n  10 -> 18 [size =\"47255552\"]\n  10 -> 19 [size =\"47255552\"]\n  10 -> 20 [size =\"47255552\"]\n  10 -> 21 [size =\"47255552\"]\n  11 [size=\"86838613\", alpha=\"0.16\", expect_size=\"26051584\"] \n  11 -> 16 [size =\"26051584\"]\n  11 -> 18 [size =\"26051584\"]\n  11 -> 21 [size =\"26051584\"]\n  12 [size=\"163467947\", alpha=\"0.14\", expect_size=\"49040384\"] \n  12 -> 16 [size =\"49040384\"]\n  12 -> 17 [size =\"49040384\"]\n  12 -> 18 [size =\"49040384\"]\n  13 [size=\"99119787\", alpha=\"0.12\", expect_size=\"29735936\"] \n  13 -> 16 [size =\"29735936\"]\n  13 -> 17 [size =\"29735936\"]\n  13 -> 19 [size =\"29735936\"]\n  14 [size=\"81493333\", alpha=\"0.11\", expect_size=\"24448000\"] \n  14 -> 15 [size =\"24448000\"]\n  14 -> 16 [size =\"24448000\"]\n  14 -> 18 [size =\"24448000\"]\n  14 -> 19 [size =\"24448000\"]\n  15 [size=\"38826667\", alpha=\"0.20\", expect_size=\"11648000\"] \n  16 [size=\"130140160\", alpha=\"0.14\", expect_size=\"39042048\"] \n  17 [size=\"134004053\", alpha=\"0.04\", expect_size=\"40201216\"] \n  17 -> 24 [size =\"40201216\"]\n  18 [size=\"142810453\", alpha=\"0.18\", expect_size=\"42843136\"] \n  18 -> 23 [size =\"42843136\"]\n  18 -> 24 [size =\"42843136\"]\n  18 -> 25 [size =\"42843136\"]\n  19 [size=\"152773973\", alpha=\"0.12\", expect_size=\"45832192\"] \n  19 -> 23 [size =\"45832192\"]\n  20 [size=\"34392747\", alpha=\"0.20\", expect_size=\"10317824\"] \n  20 -> 22 [size =\"10317824\"]\n  20 -> 24 [size =\"10317824\"]\n  21 [size=\"47810560\", alpha=\"0.19\", expect_size=\"14343168\"] \n  22 [size=\"172120747\", alpha=\"0.04\", expect_size=\"51636224\"] \n  22 -> 27 [size =\"51636224\"]\n  22 -> 28 [size =\"51636224\"]\n  22 -> 29 [size =\"51636224\"]\n  22 -> 30 [size =\"51636224\"]\n  23 [size=\"124381867\", alpha=\"0.02\", expect_size=\"37314560\"] \n  23 -> 27 [size =\"37314560\"]\n  23 -> 28 [size =\"37314560\"]\n  23 -> 29 [size =\"37314560\"]\n  23 -> 31 [size =\"37314560\"]\n  24 [size=\"62474240\", alpha=\"0.03\", expect_size=\"18742272\"] \n  24 -> 26 [size =\"18742272\"]\n  24 -> 31 [size =\"18742272\"]\n  25 [size=\"147534507\", alpha=\"0.07\", expect_size=\"44260352\"] \n  25 -> 27 [size =\"44260352\"]\n  25 -> 28 [size =\"44260352\"]\n  25 -> 29 [size =\"44260352\"]\n  26 [size=\"146657280\", alpha=\"0.13\", expect_size=\"43997184\"] \n  26 -> 33 [size =\"43997184\"]\n  26 -> 34 [size =\"43997184\"]\n  26 -> 35 [size =\"43997184\"]\n  26 -> 36 [size =\"43997184\"]\n  27 [size=\"97751040\", alpha=\"0.14\", expect_size=\"29325312\"] \n  27 -> 32 [size =\"29325312\"]\n  27 -> 33 [size =\"29325312\"]\n  27 -> 36 [size =\"29325312\"]\n  27 -> 37 [size =\"29325312\"]\n  28 [size=\"128805547\", alpha=\"0.10\", expect_size=\"38641664\"] \n  28 -> 32 [size =\"38641664\"]\n  28 -> 36 [size =\"38641664\"]\n  28 -> 37 [size =\"38641664\"]\n  28 -> 37 [size =\"38641664\"]\n  29 [size=\"114827947\", alpha=\"0.12\", expect_size=\"34448384\"] \n  29 -> 35 [size =\"34448384\"]\n  30 [size=\"48056320\", alpha=\"0.12\", expect_size=\"14416896\"] \n  30 -> 35 [size =\"14416896\"]\n  30 -> 36 [size =\"14416896\"]\n  30 -> 37 [size =\"14416896\"]\n  31 [size=\"45400747\", alpha=\"0.01\", expect_size=\"13620224\"] \n  31 -> 32 [size =\"13620224\"]\n  31 -> 33 [size =\"13620224\"]\n  31 -> 35 [size =\"13620224\"]\n  32 [size=\"36338347\", alpha=\"0.09\", expect_size=\"10901504\"] \n  32 -> 41 [size =\"10901504\"]\n  32 -> 42 [size =\"10901504\"]\n  33 [size=\"71673173\", alpha=\"0.07\", expect_size=\"21501952\"] \n  33 -> 42 [size =\"21501952\"]\n  33 -> 43 [size =\"21501952\"]\n  34 [size=\"85340160\", alpha=\"0.13\", expect_size=\"25602048\"] \n  34 -> 40 [size =\"25602048\"]\n  34 -> 43 [size =\"25602048\"]\n  34 -> 44 [size =\"25602048\"]\n  35 [size=\"110646613\", alpha=\"0.02\", expect_size=\"33193984\"] \n  35 -> 38 [size =\"33193984\"]\n  35 -> 39 [size =\"33193984\"]\n  35 -> 40 [size =\"33193984\"]\n  35 -> 41 [size =\"33193984\"]\n  35 -> 42 [size =\"33193984\"]\n  35 -> 43 [size =\"33193984\"]\n  35 -> 44 [size =\"33193984\"]\n  36 [size=\"167055360\", alpha=\"0.05\", expect_size=\"50116608\"] \n  36 -> 38 [size =\"50116608\"]\n  36 -> 41 [size =\"50116608\"]\n  36 -> 42 [size =\"50116608\"]\n  36 -> 43 [size =\"50116608\"]\n  36 -> 44 [size =\"50116608\"]\n  37 [size=\"114319360\", alpha=\"0.03\", expect_size=\"34295808\"] \n  37 -> 38 [size =\"34295808\"]\n  37 -> 39 [size =\"34295808\"]\n  37 -> 40 [size =\"34295808\"]\n  37 -> 41 [size =\"34295808\"]\n  37 -> 42 [size =\"34295808\"]\n  37 -> 44 [size =\"34295808\"]\n  38 [size=\"66078720\", alpha=\"0.17\", expect_size=\"19823616\"] \n  39 [size=\"141506560\", alpha=\"0.09\", expect_size=\"42451968\"] \n  40 [size=\"78967467\", alpha=\"0.02\", expect_size=\"23690240\"] \n  40 -> 45 [size =\"23690240\"]\n  41 [size=\"18500267\", alpha=\"0.19\", expect_size=\"5550080\"] \n  41 -> 45 [size =\"5550080\"]\n  42 [size=\"29477547\", alpha=\"0.16\", expect_size=\"8843264\"] \n  43 [size=\"100604587\", alpha=\"0.06\", expect_size=\"30181376\"] \n  44 [size=\"156238507\", alpha=\"0.02\", expect_size=\"46871552\"] \n  45 [size=\"103113387\", alpha=\"0.15\", expect_size=\"30934016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124354560\", alpha=\"0.11\", expect_size=\"37306368\"] \n  1 -> 29 [size =\"37306368\"]\n  1 -> 31 [size =\"37306368\"]\n  1 -> 32 [size =\"37306368\"]\n  1 -> 37 [size =\"37306368\"]\n  1 -> 43 [size =\"37306368\"]\n  1 -> 44 [size =\"37306368\"]\n  2 [size=\"94528853\", alpha=\"0.08\", expect_size=\"28358656\"] \n  2 -> 29 [size =\"28358656\"]\n  2 -> 31 [size =\"28358656\"]\n  2 -> 32 [size =\"28358656\"]\n  2 -> 33 [size =\"28358656\"]\n  2 -> 36 [size =\"28358656\"]\n  2 -> 37 [size =\"28358656\"]\n  2 -> 41 [size =\"28358656\"]\n  3 [size=\"41840640\", alpha=\"0.14\", expect_size=\"12552192\"] \n  3 -> 28 [size =\"12552192\"]\n  3 -> 30 [size =\"12552192\"]\n  3 -> 32 [size =\"12552192\"]\n  3 -> 35 [size =\"12552192\"]\n  3 -> 44 [size =\"12552192\"]\n  4 [size=\"143759360\", alpha=\"0.10\", expect_size=\"43127808\"] \n  4 -> 28 [size =\"43127808\"]\n  4 -> 31 [size =\"43127808\"]\n  4 -> 33 [size =\"43127808\"]\n  4 -> 35 [size =\"43127808\"]\n  4 -> 43 [size =\"43127808\"]\n  4 -> 44 [size =\"43127808\"]\n  5 [size=\"106233173\", alpha=\"0.05\", expect_size=\"31869952\"] \n  5 -> 35 [size =\"31869952\"]\n  5 -> 38 [size =\"31869952\"]\n  5 -> 40 [size =\"31869952\"]\n  5 -> 44 [size =\"31869952\"]\n  5 -> 45 [size =\"31869952\"]\n  6 [size=\"81111040\", alpha=\"0.15\", expect_size=\"24333312\"] \n  6 -> 34 [size =\"24333312\"]\n  6 -> 35 [size =\"24333312\"]\n  6 -> 41 [size =\"24333312\"]\n  6 -> 44 [size =\"24333312\"]\n  7 [size=\"73943040\", alpha=\"0.17\", expect_size=\"22182912\"] \n  7 -> 28 [size =\"22182912\"]\n  7 -> 37 [size =\"22182912\"]\n  8 [size=\"65491627\", alpha=\"0.13\", expect_size=\"19647488\"] \n  8 -> 28 [size =\"19647488\"]\n  8 -> 29 [size =\"19647488\"]\n  8 -> 30 [size =\"19647488\"]\n  8 -> 35 [size =\"19647488\"]\n  8 -> 37 [size =\"19647488\"]\n  8 -> 43 [size =\"19647488\"]\n  8 -> 44 [size =\"19647488\"]\n  8 -> 45 [size =\"19647488\"]\n  9 [size=\"83964587\", alpha=\"0.03\", expect_size=\"25189376\"] \n  9 -> 28 [size =\"25189376\"]\n  9 -> 29 [size =\"25189376\"]\n  9 -> 38 [size =\"25189376\"]\n  9 -> 41 [size =\"25189376\"]\n  9 -> 43 [size =\"25189376\"]\n  9 -> 44 [size =\"25189376\"]\n  10 [size=\"42274133\", alpha=\"0.12\", expect_size=\"12682240\"] \n  10 -> 28 [size =\"12682240\"]\n  10 -> 31 [size =\"12682240\"]\n  10 -> 38 [size =\"12682240\"]\n  10 -> 43 [size =\"12682240\"]\n  10 -> 44 [size =\"12682240\"]\n  11 [size=\"172485973\", alpha=\"0.13\", expect_size=\"51745792\"] \n  11 -> 29 [size =\"51745792\"]\n  11 -> 31 [size =\"51745792\"]\n  11 -> 37 [size =\"51745792\"]\n  11 -> 41 [size =\"51745792\"]\n  11 -> 42 [size =\"51745792\"]\n  12 [size=\"100952747\", alpha=\"0.02\", expect_size=\"30285824\"] \n  12 -> 34 [size =\"30285824\"]\n  12 -> 40 [size =\"30285824\"]\n  13 [size=\"166970027\", alpha=\"0.17\", expect_size=\"50091008\"] \n  13 -> 29 [size =\"50091008\"]\n  13 -> 32 [size =\"50091008\"]\n  14 [size=\"121992533\", alpha=\"0.19\", expect_size=\"36597760\"] \n  14 -> 32 [size =\"36597760\"]\n  15 [size=\"42987520\", alpha=\"0.09\", expect_size=\"12896256\"] \n  15 -> 28 [size =\"12896256\"]\n  15 -> 29 [size =\"12896256\"]\n  15 -> 30 [size =\"12896256\"]\n  15 -> 31 [size =\"12896256\"]\n  15 -> 37 [size =\"12896256\"]\n  15 -> 38 [size =\"12896256\"]\n  15 -> 39 [size =\"12896256\"]\n  16 [size=\"83694933\", alpha=\"0.00\", expect_size=\"25108480\"] \n  16 -> 28 [size =\"25108480\"]\n  16 -> 29 [size =\"25108480\"]\n  16 -> 35 [size =\"25108480\"]\n  16 -> 41 [size =\"25108480\"]\n  16 -> 42 [size =\"25108480\"]\n  16 -> 43 [size =\"25108480\"]\n  16 -> 45 [size =\"25108480\"]\n  17 [size=\"42956800\", alpha=\"0.05\", expect_size=\"12887040\"] \n  17 -> 36 [size =\"12887040\"]\n  17 -> 37 [size =\"12887040\"]\n  17 -> 39 [size =\"12887040\"]\n  17 -> 43 [size =\"12887040\"]\n  17 -> 44 [size =\"12887040\"]\n  17 -> 45 [size =\"12887040\"]\n  18 [size=\"17619627\", alpha=\"0.16\", expect_size=\"5285888\"] \n  18 -> 37 [size =\"5285888\"]\n  18 -> 38 [size =\"5285888\"]\n  18 -> 39 [size =\"5285888\"]\n  18 -> 42 [size =\"5285888\"]\n  18 -> 43 [size =\"5285888\"]\n  18 -> 44 [size =\"5285888\"]\n  18 -> 45 [size =\"5285888\"]\n  19 [size=\"116555093\", alpha=\"0.18\", expect_size=\"34966528\"] \n  19 -> 31 [size =\"34966528\"]\n  19 -> 37 [size =\"34966528\"]\n  19 -> 38 [size =\"34966528\"]\n  19 -> 44 [size =\"34966528\"]\n  20 [size=\"142462293\", alpha=\"0.17\", expect_size=\"42738688\"] \n  20 -> 30 [size =\"42738688\"]\n  20 -> 31 [size =\"42738688\"]\n  20 -> 37 [size =\"42738688\"]\n  20 -> 38 [size =\"42738688\"]\n  20 -> 42 [size =\"42738688\"]\n  20 -> 43 [size =\"42738688\"]\n  20 -> 44 [size =\"42738688\"]\n  20 -> 45 [size =\"42738688\"]\n  21 [size=\"76622507\", alpha=\"0.10\", expect_size=\"22986752\"] \n  21 -> 28 [size =\"22986752\"]\n  21 -> 29 [size =\"22986752\"]\n  21 -> 31 [size =\"22986752\"]\n  21 -> 38 [size =\"22986752\"]\n  21 -> 42 [size =\"22986752\"]\n  22 [size=\"24091307\", alpha=\"0.12\", expect_size=\"7227392\"] \n  22 -> 28 [size =\"7227392\"]\n  22 -> 29 [size =\"7227392\"]\n  22 -> 30 [size =\"7227392\"]\n  22 -> 32 [size =\"7227392\"]\n  22 -> 37 [size =\"7227392\"]\n  22 -> 45 [size =\"7227392\"]\n  23 [size=\"43598507\", alpha=\"0.18\", expect_size=\"13079552\"] \n  23 -> 28 [size =\"13079552\"]\n  23 -> 30 [size =\"13079552\"]\n  23 -> 31 [size =\"13079552\"]\n  23 -> 34 [size =\"13079552\"]\n  23 -> 35 [size =\"13079552\"]\n  23 -> 38 [size =\"13079552\"]\n  23 -> 39 [size =\"13079552\"]\n  23 -> 40 [size =\"13079552\"]\n  23 -> 44 [size =\"13079552\"]\n  23 -> 45 [size =\"13079552\"]\n  24 [size=\"17872213\", alpha=\"0.00\", expect_size=\"5361664\"] \n  24 -> 28 [size =\"5361664\"]\n  24 -> 29 [size =\"5361664\"]\n  24 -> 30 [size =\"5361664\"]\n  24 -> 34 [size =\"5361664\"]\n  24 -> 37 [size =\"5361664\"]\n  24 -> 38 [size =\"5361664\"]\n  24 -> 39 [size =\"5361664\"]\n  24 -> 40 [size =\"5361664\"]\n  24 -> 42 [size =\"5361664\"]\n  25 [size=\"167618560\", alpha=\"0.13\", expect_size=\"50285568\"] \n  25 -> 28 [size =\"50285568\"]\n  25 -> 29 [size =\"50285568\"]\n  25 -> 30 [size =\"50285568\"]\n  25 -> 33 [size =\"50285568\"]\n  25 -> 35 [size =\"50285568\"]\n  25 -> 38 [size =\"50285568\"]\n  25 -> 39 [size =\"50285568\"]\n  25 -> 41 [size =\"50285568\"]\n  25 -> 44 [size =\"50285568\"]\n  25 -> 45 [size =\"50285568\"]\n  26 [size=\"79486293\", alpha=\"0.14\", expect_size=\"23845888\"] \n  26 -> 28 [size =\"23845888\"]\n  26 -> 30 [size =\"23845888\"]\n  26 -> 37 [size =\"23845888\"]\n  26 -> 39 [size =\"23845888\"]\n  27 [size=\"83319467\", alpha=\"0.03\", expect_size=\"24995840\"] \n  27 -> 30 [size =\"24995840\"]\n  27 -> 32 [size =\"24995840\"]\n  27 -> 37 [size =\"24995840\"]\n  27 -> 38 [size =\"24995840\"]\n  27 -> 39 [size =\"24995840\"]\n  28 [size=\"121190400\", alpha=\"0.17\", expect_size=\"36357120\"] \n  29 [size=\"88152747\", alpha=\"0.00\", expect_size=\"26445824\"] \n  30 [size=\"69567147\", alpha=\"0.06\", expect_size=\"20870144\"] \n  31 [size=\"45370027\", alpha=\"0.12\", expect_size=\"13611008\"] \n  32 [size=\"122439680\", alpha=\"0.09\", expect_size=\"36731904\"] \n  33 [size=\"63262720\", alpha=\"0.04\", expect_size=\"18978816\"] \n  34 [size=\"49486507\", alpha=\"0.13\", expect_size=\"14845952\"] \n  35 [size=\"50111147\", alpha=\"0.05\", expect_size=\"15033344\"] \n  36 [size=\"153890133\", alpha=\"0.05\", expect_size=\"46167040\"] \n  37 [size=\"109895680\", alpha=\"0.09\", expect_size=\"32968704\"] \n  38 [size=\"131877547\", alpha=\"0.12\", expect_size=\"39563264\"] \n  39 [size=\"110568107\", alpha=\"0.09\", expect_size=\"33170432\"] \n  40 [size=\"112459093\", alpha=\"0.01\", expect_size=\"33737728\"] \n  41 [size=\"162344960\", alpha=\"0.00\", expect_size=\"48703488\"] \n  42 [size=\"100669440\", alpha=\"0.01\", expect_size=\"30200832\"] \n  43 [size=\"168195413\", alpha=\"0.05\", expect_size=\"50458624\"] \n  44 [size=\"42564267\", alpha=\"0.09\", expect_size=\"12769280\"] \n  45 [size=\"142858240\", alpha=\"0.12\", expect_size=\"42857472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106183680\", alpha=\"0.18\", expect_size=\"42473472\"] \n  1 -> 23 [size =\"42473472\"]\n  1 -> 25 [size =\"42473472\"]\n  1 -> 26 [size =\"42473472\"]\n  1 -> 27 [size =\"42473472\"]\n  1 -> 28 [size =\"42473472\"]\n  1 -> 34 [size =\"42473472\"]\n  1 -> 40 [size =\"42473472\"]\n  1 -> 41 [size =\"42473472\"]\n  2 [size=\"64588800\", alpha=\"0.00\", expect_size=\"25835520\"] \n  2 -> 22 [size =\"25835520\"]\n  2 -> 23 [size =\"25835520\"]\n  2 -> 25 [size =\"25835520\"]\n  2 -> 26 [size =\"25835520\"]\n  2 -> 27 [size =\"25835520\"]\n  2 -> 29 [size =\"25835520\"]\n  2 -> 30 [size =\"25835520\"]\n  2 -> 40 [size =\"25835520\"]\n  2 -> 41 [size =\"25835520\"]\n  2 -> 42 [size =\"25835520\"]\n  3 [size=\"45140480\", alpha=\"0.05\", expect_size=\"18056192\"] \n  3 -> 21 [size =\"18056192\"]\n  3 -> 23 [size =\"18056192\"]\n  3 -> 31 [size =\"18056192\"]\n  3 -> 33 [size =\"18056192\"]\n  3 -> 41 [size =\"18056192\"]\n  3 -> 42 [size =\"18056192\"]\n  4 [size=\"87808000\", alpha=\"0.02\", expect_size=\"35123200\"] \n  4 -> 21 [size =\"35123200\"]\n  4 -> 25 [size =\"35123200\"]\n  4 -> 27 [size =\"35123200\"]\n  4 -> 30 [size =\"35123200\"]\n  4 -> 34 [size =\"35123200\"]\n  4 -> 37 [size =\"35123200\"]\n  4 -> 38 [size =\"35123200\"]\n  4 -> 41 [size =\"35123200\"]\n  4 -> 42 [size =\"35123200\"]\n  5 [size=\"78592000\", alpha=\"0.03\", expect_size=\"31436800\"] \n  5 -> 26 [size =\"31436800\"]\n  5 -> 27 [size =\"31436800\"]\n  5 -> 29 [size =\"31436800\"]\n  5 -> 31 [size =\"31436800\"]\n  5 -> 34 [size =\"31436800\"]\n  5 -> 36 [size =\"31436800\"]\n  5 -> 41 [size =\"31436800\"]\n  5 -> 42 [size =\"31436800\"]\n  6 [size=\"65239040\", alpha=\"0.11\", expect_size=\"26095616\"] \n  6 -> 21 [size =\"26095616\"]\n  6 -> 22 [size =\"26095616\"]\n  6 -> 25 [size =\"26095616\"]\n  6 -> 27 [size =\"26095616\"]\n  6 -> 28 [size =\"26095616\"]\n  6 -> 30 [size =\"26095616\"]\n  6 -> 33 [size =\"26095616\"]\n  6 -> 34 [size =\"26095616\"]\n  6 -> 35 [size =\"26095616\"]\n  6 -> 39 [size =\"26095616\"]\n  6 -> 40 [size =\"26095616\"]\n  7 [size=\"14753280\", alpha=\"0.15\", expect_size=\"5901312\"] \n  7 -> 21 [size =\"5901312\"]\n  7 -> 23 [size =\"5901312\"]\n  7 -> 25 [size =\"5901312\"]\n  7 -> 26 [size =\"5901312\"]\n  7 -> 28 [size =\"5901312\"]\n  7 -> 29 [size =\"5901312\"]\n  7 -> 35 [size =\"5901312\"]\n  7 -> 38 [size =\"5901312\"]\n  7 -> 39 [size =\"5901312\"]\n  7 -> 40 [size =\"5901312\"]\n  7 -> 41 [size =\"5901312\"]\n  7 -> 45 [size =\"5901312\"]\n  8 [size=\"79091200\", alpha=\"0.12\", expect_size=\"31636480\"] \n  8 -> 20 [size =\"31636480\"]\n  8 -> 21 [size =\"31636480\"]\n  8 -> 22 [size =\"31636480\"]\n  8 -> 23 [size =\"31636480\"]\n  8 -> 26 [size =\"31636480\"]\n  8 -> 32 [size =\"31636480\"]\n  8 -> 38 [size =\"31636480\"]\n  8 -> 39 [size =\"31636480\"]\n  8 -> 40 [size =\"31636480\"]\n  8 -> 41 [size =\"31636480\"]\n  8 -> 43 [size =\"31636480\"]\n  9 [size=\"55106560\", alpha=\"0.17\", expect_size=\"22042624\"] \n  9 -> 25 [size =\"22042624\"]\n  9 -> 27 [size =\"22042624\"]\n  9 -> 29 [size =\"22042624\"]\n  9 -> 30 [size =\"22042624\"]\n  9 -> 34 [size =\"22042624\"]\n  9 -> 37 [size =\"22042624\"]\n  9 -> 38 [size =\"22042624\"]\n  9 -> 39 [size =\"22042624\"]\n  9 -> 42 [size =\"22042624\"]\n  10 [size=\"48660480\", alpha=\"0.00\", expect_size=\"19464192\"] \n  10 -> 22 [size =\"19464192\"]\n  10 -> 26 [size =\"19464192\"]\n  10 -> 27 [size =\"19464192\"]\n  10 -> 30 [size =\"19464192\"]\n  10 -> 41 [size =\"19464192\"]\n  10 -> 42 [size =\"19464192\"]\n  10 -> 45 [size =\"19464192\"]\n  11 [size=\"126128640\", alpha=\"0.15\", expect_size=\"50451456\"] \n  11 -> 24 [size =\"50451456\"]\n  11 -> 29 [size =\"50451456\"]\n  11 -> 30 [size =\"50451456\"]\n  11 -> 30 [size =\"50451456\"]\n  11 -> 34 [size =\"50451456\"]\n  11 -> 35 [size =\"50451456\"]\n  11 -> 39 [size =\"50451456\"]\n  11 -> 40 [size =\"50451456\"]\n  12 [size=\"116277760\", alpha=\"0.08\", expect_size=\"46511104\"] \n  12 -> 23 [size =\"46511104\"]\n  12 -> 27 [size =\"46511104\"]\n  12 -> 35 [size =\"46511104\"]\n  12 -> 38 [size =\"46511104\"]\n  12 -> 40 [size =\"46511104\"]\n  12 -> 42 [size =\"46511104\"]\n  13 [size=\"117890560\", alpha=\"0.06\", expect_size=\"47156224\"] \n  13 -> 20 [size =\"47156224\"]\n  13 -> 21 [size =\"47156224\"]\n  13 -> 22 [size =\"47156224\"]\n  13 -> 23 [size =\"47156224\"]\n  13 -> 26 [size =\"47156224\"]\n  13 -> 29 [size =\"47156224\"]\n  13 -> 33 [size =\"47156224\"]\n  13 -> 40 [size =\"47156224\"]\n  13 -> 44 [size =\"47156224\"]\n  14 [size=\"27962880\", alpha=\"0.05\", expect_size=\"11185152\"] \n  14 -> 20 [size =\"11185152\"]\n  14 -> 21 [size =\"11185152\"]\n  14 -> 22 [size =\"11185152\"]\n  14 -> 23 [size =\"11185152\"]\n  14 -> 26 [size =\"11185152\"]\n  14 -> 27 [size =\"11185152\"]\n  14 -> 28 [size =\"11185152\"]\n  14 -> 29 [size =\"11185152\"]\n  14 -> 40 [size =\"11185152\"]\n  15 [size=\"40583680\", alpha=\"0.03\", expect_size=\"16233472\"] \n  15 -> 20 [size =\"16233472\"]\n  15 -> 21 [size =\"16233472\"]\n  15 -> 23 [size =\"16233472\"]\n  15 -> 26 [size =\"16233472\"]\n  15 -> 28 [size =\"16233472\"]\n  15 -> 29 [size =\"16233472\"]\n  15 -> 34 [size =\"16233472\"]\n  15 -> 38 [size =\"16233472\"]\n  15 -> 39 [size =\"16233472\"]\n  16 [size=\"55808000\", alpha=\"0.13\", expect_size=\"22323200\"] \n  16 -> 21 [size =\"22323200\"]\n  16 -> 24 [size =\"22323200\"]\n  16 -> 25 [size =\"22323200\"]\n  16 -> 27 [size =\"22323200\"]\n  16 -> 28 [size =\"22323200\"]\n  16 -> 30 [size =\"22323200\"]\n  16 -> 32 [size =\"22323200\"]\n  16 -> 34 [size =\"22323200\"]\n  16 -> 36 [size =\"22323200\"]\n  16 -> 38 [size =\"22323200\"]\n  16 -> 39 [size =\"22323200\"]\n  16 -> 42 [size =\"22323200\"]\n  17 [size=\"123435520\", alpha=\"0.09\", expect_size=\"49374208\"] \n  17 -> 25 [size =\"49374208\"]\n  17 -> 29 [size =\"49374208\"]\n  17 -> 34 [size =\"49374208\"]\n  17 -> 38 [size =\"49374208\"]\n  17 -> 39 [size =\"49374208\"]\n  17 -> 41 [size =\"49374208\"]\n  17 -> 42 [size =\"49374208\"]\n  18 [size=\"94553600\", alpha=\"0.20\", expect_size=\"37821440\"] \n  18 -> 25 [size =\"37821440\"]\n  18 -> 29 [size =\"37821440\"]\n  18 -> 38 [size =\"37821440\"]\n  18 -> 39 [size =\"37821440\"]\n  18 -> 39 [size =\"37821440\"]\n  18 -> 41 [size =\"37821440\"]\n  18 -> 42 [size =\"37821440\"]\n  19 [size=\"47452160\", alpha=\"0.20\", expect_size=\"18980864\"] \n  19 -> 21 [size =\"18980864\"]\n  19 -> 25 [size =\"18980864\"]\n  19 -> 26 [size =\"18980864\"]\n  19 -> 28 [size =\"18980864\"]\n  19 -> 30 [size =\"18980864\"]\n  19 -> 32 [size =\"18980864\"]\n  19 -> 40 [size =\"18980864\"]\n  19 -> 41 [size =\"18980864\"]\n  19 -> 42 [size =\"18980864\"]\n  20 [size=\"31626240\", alpha=\"0.14\", expect_size=\"12650496\"] \n  21 [size=\"31971840\", alpha=\"0.05\", expect_size=\"12788736\"] \n  22 [size=\"118343680\", alpha=\"0.03\", expect_size=\"47337472\"] \n  23 [size=\"49643520\", alpha=\"0.08\", expect_size=\"19857408\"] \n  24 [size=\"85739520\", alpha=\"0.05\", expect_size=\"34295808\"] \n  25 [size=\"113128960\", alpha=\"0.13\", expect_size=\"45251584\"] \n  26 [size=\"130670080\", alpha=\"0.10\", expect_size=\"52268032\"] \n  27 [size=\"87198720\", alpha=\"0.07\", expect_size=\"34879488\"] \n  28 [size=\"24724480\", alpha=\"0.16\", expect_size=\"9889792\"] \n  29 [size=\"24197120\", alpha=\"0.11\", expect_size=\"9678848\"] \n  30 [size=\"24007680\", alpha=\"0.13\", expect_size=\"9603072\"] \n  31 [size=\"108756480\", alpha=\"0.13\", expect_size=\"43502592\"] \n  32 [size=\"17625600\", alpha=\"0.12\", expect_size=\"7050240\"] \n  33 [size=\"38026240\", alpha=\"0.08\", expect_size=\"15210496\"] \n  34 [size=\"84034560\", alpha=\"0.06\", expect_size=\"33613824\"] \n  35 [size=\"112381440\", alpha=\"0.09\", expect_size=\"44952576\"] \n  36 [size=\"70594560\", alpha=\"0.20\", expect_size=\"28237824\"] \n  37 [size=\"128768000\", alpha=\"0.09\", expect_size=\"51507200\"] \n  38 [size=\"52620800\", alpha=\"0.12\", expect_size=\"21048320\"] \n  39 [size=\"26104320\", alpha=\"0.00\", expect_size=\"10441728\"] \n  40 [size=\"91217920\", alpha=\"0.12\", expect_size=\"36487168\"] \n  41 [size=\"47590400\", alpha=\"0.07\", expect_size=\"19036160\"] \n  42 [size=\"126202880\", alpha=\"0.00\", expect_size=\"50481152\"] \n  43 [size=\"76339200\", alpha=\"0.19\", expect_size=\"30535680\"] \n  44 [size=\"120744960\", alpha=\"0.11\", expect_size=\"48297984\"] \n  45 [size=\"38346240\", alpha=\"0.19\", expect_size=\"15338496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15013888\", alpha=\"0.14\", expect_size=\"7506944\"] \n  1 -> 2 [size =\"7506944\"]\n  2 [size=\"11286528\", alpha=\"0.02\", expect_size=\"5643264\"] \n  2 -> 3 [size =\"5643264\"]\n  3 [size=\"25145344\", alpha=\"0.15\", expect_size=\"12572672\"] \n  3 -> 4 [size =\"12572672\"]\n  4 [size=\"52283392\", alpha=\"0.16\", expect_size=\"26141696\"] \n  4 -> 5 [size =\"26141696\"]\n  5 [size=\"29530112\", alpha=\"0.16\", expect_size=\"14765056\"] \n  5 -> 6 [size =\"14765056\"]\n  6 [size=\"68149248\", alpha=\"0.14\", expect_size=\"34074624\"] \n  6 -> 7 [size =\"34074624\"]\n  7 [size=\"57602048\", alpha=\"0.19\", expect_size=\"28801024\"] \n  7 -> 8 [size =\"28801024\"]\n  8 [size=\"26292224\", alpha=\"0.12\", expect_size=\"13146112\"] \n  8 -> 9 [size =\"13146112\"]\n  9 [size=\"51433472\", alpha=\"0.16\", expect_size=\"25716736\"] \n  9 -> 10 [size =\"25716736\"]\n  10 [size=\"100165632\", alpha=\"0.14\", expect_size=\"50082816\"] \n  10 -> 11 [size =\"50082816\"]\n  11 [size=\"26456064\", alpha=\"0.09\", expect_size=\"13228032\"] \n  11 -> 12 [size =\"13228032\"]\n  12 [size=\"92669952\", alpha=\"0.01\", expect_size=\"46334976\"] \n  12 -> 13 [size =\"46334976\"]\n  13 [size=\"100890624\", alpha=\"0.11\", expect_size=\"50445312\"] \n  13 -> 14 [size =\"50445312\"]\n  14 [size=\"75792384\", alpha=\"0.02\", expect_size=\"37896192\"] \n  14 -> 15 [size =\"37896192\"]\n  15 [size=\"54722560\", alpha=\"0.19\", expect_size=\"27361280\"] \n  15 -> 16 [size =\"27361280\"]\n  16 [size=\"36571136\", alpha=\"0.15\", expect_size=\"18285568\"] \n  16 -> 17 [size =\"18285568\"]\n  17 [size=\"101525504\", alpha=\"0.18\", expect_size=\"50762752\"] \n  17 -> 18 [size =\"50762752\"]\n  18 [size=\"95244288\", alpha=\"0.14\", expect_size=\"47622144\"] \n  18 -> 19 [size =\"47622144\"]\n  19 [size=\"55627776\", alpha=\"0.02\", expect_size=\"27813888\"] \n  19 -> 20 [size =\"27813888\"]\n  20 [size=\"34643968\", alpha=\"0.10\", expect_size=\"17321984\"] \n  20 -> 21 [size =\"17321984\"]\n  21 [size=\"100276224\", alpha=\"0.19\", expect_size=\"50138112\"] \n  21 -> 22 [size =\"50138112\"]\n  22 [size=\"47345664\", alpha=\"0.08\", expect_size=\"23672832\"] \n  22 -> 23 [size =\"23672832\"]\n  23 [size=\"51134464\", alpha=\"0.00\", expect_size=\"25567232\"] \n  23 -> 24 [size =\"25567232\"]\n  24 [size=\"10989568\", alpha=\"0.01\", expect_size=\"5494784\"] \n  24 -> 25 [size =\"5494784\"]\n  25 [size=\"18243584\", alpha=\"0.06\", expect_size=\"9121792\"] \n  25 -> 26 [size =\"9121792\"]\n  26 [size=\"13840384\", alpha=\"0.04\", expect_size=\"6920192\"] \n  26 -> 27 [size =\"6920192\"]\n  27 [size=\"85436416\", alpha=\"0.11\", expect_size=\"42718208\"] \n  27 -> 28 [size =\"42718208\"]\n  28 [size=\"74373120\", alpha=\"0.02\", expect_size=\"37186560\"] \n  28 -> 29 [size =\"37186560\"]\n  29 [size=\"45930496\", alpha=\"0.01\", expect_size=\"22965248\"] \n  29 -> 30 [size =\"22965248\"]\n  30 [size=\"53729280\", alpha=\"0.20\", expect_size=\"26864640\"] \n  30 -> 31 [size =\"26864640\"]\n  31 [size=\"99475456\", alpha=\"0.02\", expect_size=\"49737728\"] \n  31 -> 32 [size =\"49737728\"]\n  32 [size=\"93331456\", alpha=\"0.01\", expect_size=\"46665728\"] \n  32 -> 33 [size =\"46665728\"]\n  33 [size=\"36096000\", alpha=\"0.19\", expect_size=\"18048000\"] \n  33 -> 34 [size =\"18048000\"]\n  34 [size=\"36800512\", alpha=\"0.11\", expect_size=\"18400256\"] \n  34 -> 35 [size =\"18400256\"]\n  35 [size=\"42872832\", alpha=\"0.13\", expect_size=\"21436416\"] \n  35 -> 36 [size =\"21436416\"]\n  36 [size=\"73359360\", alpha=\"0.00\", expect_size=\"36679680\"] \n  36 -> 37 [size =\"36679680\"]\n  37 [size=\"91549696\", alpha=\"0.07\", expect_size=\"45774848\"] \n  37 -> 38 [size =\"45774848\"]\n  38 [size=\"50190336\", alpha=\"0.11\", expect_size=\"25095168\"] \n  38 -> 39 [size =\"25095168\"]\n  39 [size=\"59463680\", alpha=\"0.05\", expect_size=\"29731840\"] \n  39 -> 40 [size =\"29731840\"]\n  40 [size=\"65941504\", alpha=\"0.04\", expect_size=\"32970752\"] \n  40 -> 41 [size =\"32970752\"]\n  41 [size=\"64937984\", alpha=\"0.02\", expect_size=\"32468992\"] \n  41 -> 42 [size =\"32468992\"]\n  42 [size=\"72421376\", alpha=\"0.08\", expect_size=\"36210688\"] \n  42 -> 43 [size =\"36210688\"]\n  43 [size=\"76206080\", alpha=\"0.02\", expect_size=\"38103040\"] \n  43 -> 44 [size =\"38103040\"]\n  44 [size=\"72327168\", alpha=\"0.17\", expect_size=\"36163584\"] \n  44 -> 45 [size =\"36163584\"]\n  45 [size=\"31717376\", alpha=\"0.13\", expect_size=\"15858688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174602240\", alpha=\"0.03\", expect_size=\"52380672\"] \n  1 -> 28 [size =\"52380672\"]\n  1 -> 31 [size =\"52380672\"]\n  1 -> 42 [size =\"52380672\"]\n  1 -> 44 [size =\"52380672\"]\n  2 [size=\"146292053\", alpha=\"0.14\", expect_size=\"43887616\"] \n  2 -> 28 [size =\"43887616\"]\n  2 -> 29 [size =\"43887616\"]\n  2 -> 32 [size =\"43887616\"]\n  2 -> 34 [size =\"43887616\"]\n  2 -> 35 [size =\"43887616\"]\n  2 -> 38 [size =\"43887616\"]\n  2 -> 40 [size =\"43887616\"]\n  2 -> 42 [size =\"43887616\"]\n  2 -> 44 [size =\"43887616\"]\n  2 -> 45 [size =\"43887616\"]\n  3 [size=\"94976000\", alpha=\"0.16\", expect_size=\"28492800\"] \n  3 -> 28 [size =\"28492800\"]\n  3 -> 30 [size =\"28492800\"]\n  3 -> 31 [size =\"28492800\"]\n  3 -> 32 [size =\"28492800\"]\n  3 -> 33 [size =\"28492800\"]\n  3 -> 34 [size =\"28492800\"]\n  3 -> 37 [size =\"28492800\"]\n  3 -> 38 [size =\"28492800\"]\n  3 -> 39 [size =\"28492800\"]\n  3 -> 41 [size =\"28492800\"]\n  3 -> 42 [size =\"28492800\"]\n  3 -> 44 [size =\"28492800\"]\n  3 -> 45 [size =\"28492800\"]\n  4 [size=\"140165120\", alpha=\"0.06\", expect_size=\"42049536\"] \n  4 -> 28 [size =\"42049536\"]\n  4 -> 31 [size =\"42049536\"]\n  4 -> 32 [size =\"42049536\"]\n  4 -> 32 [size =\"42049536\"]\n  4 -> 34 [size =\"42049536\"]\n  4 -> 35 [size =\"42049536\"]\n  4 -> 37 [size =\"42049536\"]\n  4 -> 38 [size =\"42049536\"]\n  4 -> 39 [size =\"42049536\"]\n  4 -> 40 [size =\"42049536\"]\n  4 -> 45 [size =\"42049536\"]\n  5 [size=\"20742827\", alpha=\"0.07\", expect_size=\"6222848\"] \n  5 -> 28 [size =\"6222848\"]\n  5 -> 29 [size =\"6222848\"]\n  5 -> 32 [size =\"6222848\"]\n  5 -> 33 [size =\"6222848\"]\n  5 -> 35 [size =\"6222848\"]\n  5 -> 37 [size =\"6222848\"]\n  5 -> 38 [size =\"6222848\"]\n  5 -> 39 [size =\"6222848\"]\n  5 -> 40 [size =\"6222848\"]\n  5 -> 42 [size =\"6222848\"]\n  5 -> 44 [size =\"6222848\"]\n  5 -> 45 [size =\"6222848\"]\n  6 [size=\"174496427\", alpha=\"0.14\", expect_size=\"52348928\"] \n  6 -> 32 [size =\"52348928\"]\n  6 -> 34 [size =\"52348928\"]\n  6 -> 38 [size =\"52348928\"]\n  6 -> 40 [size =\"52348928\"]\n  6 -> 44 [size =\"52348928\"]\n  6 -> 45 [size =\"52348928\"]\n  7 [size=\"65116160\", alpha=\"0.01\", expect_size=\"19534848\"] \n  7 -> 28 [size =\"19534848\"]\n  7 -> 31 [size =\"19534848\"]\n  7 -> 32 [size =\"19534848\"]\n  7 -> 33 [size =\"19534848\"]\n  7 -> 34 [size =\"19534848\"]\n  7 -> 38 [size =\"19534848\"]\n  7 -> 45 [size =\"19534848\"]\n  8 [size=\"102980267\", alpha=\"0.10\", expect_size=\"30894080\"] \n  8 -> 28 [size =\"30894080\"]\n  8 -> 29 [size =\"30894080\"]\n  8 -> 31 [size =\"30894080\"]\n  8 -> 32 [size =\"30894080\"]\n  8 -> 38 [size =\"30894080\"]\n  8 -> 39 [size =\"30894080\"]\n  8 -> 42 [size =\"30894080\"]\n  9 [size=\"126842880\", alpha=\"0.05\", expect_size=\"38052864\"] \n  9 -> 37 [size =\"38052864\"]\n  9 -> 39 [size =\"38052864\"]\n  9 -> 40 [size =\"38052864\"]\n  9 -> 44 [size =\"38052864\"]\n  10 [size=\"105185280\", alpha=\"0.06\", expect_size=\"31555584\"] \n  10 -> 31 [size =\"31555584\"]\n  10 -> 35 [size =\"31555584\"]\n  10 -> 36 [size =\"31555584\"]\n  10 -> 37 [size =\"31555584\"]\n  10 -> 38 [size =\"31555584\"]\n  10 -> 39 [size =\"31555584\"]\n  10 -> 40 [size =\"31555584\"]\n  10 -> 42 [size =\"31555584\"]\n  10 -> 44 [size =\"31555584\"]\n  11 [size=\"153927680\", alpha=\"0.17\", expect_size=\"46178304\"] \n  11 -> 31 [size =\"46178304\"]\n  11 -> 33 [size =\"46178304\"]\n  11 -> 35 [size =\"46178304\"]\n  11 -> 37 [size =\"46178304\"]\n  11 -> 39 [size =\"46178304\"]\n  11 -> 39 [size =\"46178304\"]\n  11 -> 42 [size =\"46178304\"]\n  11 -> 44 [size =\"46178304\"]\n  11 -> 44 [size =\"46178304\"]\n  12 [size=\"20834987\", alpha=\"0.09\", expect_size=\"6250496\"] \n  12 -> 32 [size =\"6250496\"]\n  12 -> 33 [size =\"6250496\"]\n  12 -> 34 [size =\"6250496\"]\n  12 -> 37 [size =\"6250496\"]\n  12 -> 39 [size =\"6250496\"]\n  12 -> 40 [size =\"6250496\"]\n  12 -> 44 [size =\"6250496\"]\n  12 -> 44 [size =\"6250496\"]\n  12 -> 45 [size =\"6250496\"]\n  13 [size=\"130208427\", alpha=\"0.04\", expect_size=\"39062528\"] \n  13 -> 28 [size =\"39062528\"]\n  13 -> 33 [size =\"39062528\"]\n  13 -> 34 [size =\"39062528\"]\n  13 -> 37 [size =\"39062528\"]\n  13 -> 39 [size =\"39062528\"]\n  13 -> 40 [size =\"39062528\"]\n  13 -> 44 [size =\"39062528\"]\n  14 [size=\"95232000\", alpha=\"0.04\", expect_size=\"28569600\"] \n  14 -> 28 [size =\"28569600\"]\n  14 -> 32 [size =\"28569600\"]\n  14 -> 33 [size =\"28569600\"]\n  14 -> 34 [size =\"28569600\"]\n  14 -> 37 [size =\"28569600\"]\n  14 -> 38 [size =\"28569600\"]\n  14 -> 39 [size =\"28569600\"]\n  14 -> 40 [size =\"28569600\"]\n  14 -> 42 [size =\"28569600\"]\n  14 -> 44 [size =\"28569600\"]\n  15 [size=\"145053013\", alpha=\"0.09\", expect_size=\"43515904\"] \n  15 -> 28 [size =\"43515904\"]\n  15 -> 30 [size =\"43515904\"]\n  15 -> 31 [size =\"43515904\"]\n  15 -> 33 [size =\"43515904\"]\n  15 -> 34 [size =\"43515904\"]\n  15 -> 35 [size =\"43515904\"]\n  15 -> 37 [size =\"43515904\"]\n  15 -> 39 [size =\"43515904\"]\n  15 -> 40 [size =\"43515904\"]\n  15 -> 44 [size =\"43515904\"]\n  16 [size=\"44206080\", alpha=\"0.05\", expect_size=\"13261824\"] \n  16 -> 31 [size =\"13261824\"]\n  16 -> 34 [size =\"13261824\"]\n  16 -> 37 [size =\"13261824\"]\n  16 -> 39 [size =\"13261824\"]\n  16 -> 40 [size =\"13261824\"]\n  16 -> 42 [size =\"13261824\"]\n  16 -> 44 [size =\"13261824\"]\n  17 [size=\"158214827\", alpha=\"0.16\", expect_size=\"47464448\"] \n  17 -> 28 [size =\"47464448\"]\n  17 -> 31 [size =\"47464448\"]\n  17 -> 37 [size =\"47464448\"]\n  17 -> 38 [size =\"47464448\"]\n  17 -> 39 [size =\"47464448\"]\n  17 -> 40 [size =\"47464448\"]\n  17 -> 42 [size =\"47464448\"]\n  17 -> 44 [size =\"47464448\"]\n  17 -> 45 [size =\"47464448\"]\n  18 [size=\"169465173\", alpha=\"0.15\", expect_size=\"50839552\"] \n  18 -> 31 [size =\"50839552\"]\n  18 -> 33 [size =\"50839552\"]\n  18 -> 37 [size =\"50839552\"]\n  18 -> 38 [size =\"50839552\"]\n  18 -> 39 [size =\"50839552\"]\n  18 -> 40 [size =\"50839552\"]\n  18 -> 42 [size =\"50839552\"]\n  18 -> 44 [size =\"50839552\"]\n  18 -> 45 [size =\"50839552\"]\n  19 [size=\"94610773\", alpha=\"0.00\", expect_size=\"28383232\"] \n  19 -> 28 [size =\"28383232\"]\n  19 -> 32 [size =\"28383232\"]\n  19 -> 34 [size =\"28383232\"]\n  19 -> 36 [size =\"28383232\"]\n  19 -> 37 [size =\"28383232\"]\n  19 -> 38 [size =\"28383232\"]\n  19 -> 40 [size =\"28383232\"]\n  19 -> 42 [size =\"28383232\"]\n  19 -> 44 [size =\"28383232\"]\n  19 -> 45 [size =\"28383232\"]\n  20 [size=\"132870827\", alpha=\"0.04\", expect_size=\"39861248\"] \n  20 -> 28 [size =\"39861248\"]\n  20 -> 32 [size =\"39861248\"]\n  20 -> 34 [size =\"39861248\"]\n  20 -> 35 [size =\"39861248\"]\n  20 -> 37 [size =\"39861248\"]\n  20 -> 38 [size =\"39861248\"]\n  20 -> 40 [size =\"39861248\"]\n  20 -> 42 [size =\"39861248\"]\n  20 -> 45 [size =\"39861248\"]\n  21 [size=\"25118720\", alpha=\"0.08\", expect_size=\"7535616\"] \n  21 -> 28 [size =\"7535616\"]\n  21 -> 31 [size =\"7535616\"]\n  21 -> 33 [size =\"7535616\"]\n  21 -> 35 [size =\"7535616\"]\n  21 -> 36 [size =\"7535616\"]\n  21 -> 37 [size =\"7535616\"]\n  21 -> 38 [size =\"7535616\"]\n  21 -> 39 [size =\"7535616\"]\n  21 -> 40 [size =\"7535616\"]\n  22 [size=\"155002880\", alpha=\"0.08\", expect_size=\"46500864\"] \n  22 -> 28 [size =\"46500864\"]\n  22 -> 29 [size =\"46500864\"]\n  22 -> 32 [size =\"46500864\"]\n  22 -> 33 [size =\"46500864\"]\n  22 -> 35 [size =\"46500864\"]\n  22 -> 36 [size =\"46500864\"]\n  22 -> 37 [size =\"46500864\"]\n  22 -> 38 [size =\"46500864\"]\n  22 -> 39 [size =\"46500864\"]\n  22 -> 40 [size =\"46500864\"]\n  22 -> 42 [size =\"46500864\"]\n  23 [size=\"69519360\", alpha=\"0.18\", expect_size=\"20855808\"] \n  23 -> 28 [size =\"20855808\"]\n  23 -> 29 [size =\"20855808\"]\n  23 -> 30 [size =\"20855808\"]\n  23 -> 32 [size =\"20855808\"]\n  23 -> 33 [size =\"20855808\"]\n  23 -> 36 [size =\"20855808\"]\n  23 -> 37 [size =\"20855808\"]\n  23 -> 38 [size =\"20855808\"]\n  23 -> 39 [size =\"20855808\"]\n  24 [size=\"98577067\", alpha=\"0.03\", expect_size=\"29573120\"] \n  24 -> 28 [size =\"29573120\"]\n  24 -> 34 [size =\"29573120\"]\n  24 -> 37 [size =\"29573120\"]\n  24 -> 38 [size =\"29573120\"]\n  24 -> 39 [size =\"29573120\"]\n  24 -> 44 [size =\"29573120\"]\n  25 [size=\"132765013\", alpha=\"0.09\", expect_size=\"39829504\"] \n  25 -> 28 [size =\"39829504\"]\n  25 -> 31 [size =\"39829504\"]\n  25 -> 32 [size =\"39829504\"]\n  25 -> 33 [size =\"39829504\"]\n  25 -> 34 [size =\"39829504\"]\n  25 -> 37 [size =\"39829504\"]\n  25 -> 38 [size =\"39829504\"]\n  25 -> 39 [size =\"39829504\"]\n  25 -> 40 [size =\"39829504\"]\n  25 -> 42 [size =\"39829504\"]\n  25 -> 44 [size =\"39829504\"]\n  25 -> 45 [size =\"39829504\"]\n  26 [size=\"49954133\", alpha=\"0.15\", expect_size=\"14986240\"] \n  26 -> 28 [size =\"14986240\"]\n  26 -> 29 [size =\"14986240\"]\n  26 -> 32 [size =\"14986240\"]\n  26 -> 37 [size =\"14986240\"]\n  26 -> 38 [size =\"14986240\"]\n  26 -> 39 [size =\"14986240\"]\n  26 -> 40 [size =\"14986240\"]\n  26 -> 43 [size =\"14986240\"]\n  26 -> 44 [size =\"14986240\"]\n  27 [size=\"86179840\", alpha=\"0.07\", expect_size=\"25853952\"] \n  27 -> 28 [size =\"25853952\"]\n  27 -> 29 [size =\"25853952\"]\n  27 -> 30 [size =\"25853952\"]\n  27 -> 37 [size =\"25853952\"]\n  27 -> 39 [size =\"25853952\"]\n  27 -> 39 [size =\"25853952\"]\n  27 -> 40 [size =\"25853952\"]\n  27 -> 44 [size =\"25853952\"]\n  27 -> 44 [size =\"25853952\"]\n  28 [size=\"52715520\", alpha=\"0.10\", expect_size=\"15814656\"] \n  29 [size=\"167796053\", alpha=\"0.06\", expect_size=\"50338816\"] \n  30 [size=\"170492587\", alpha=\"0.14\", expect_size=\"51147776\"] \n  31 [size=\"44902400\", alpha=\"0.20\", expect_size=\"13470720\"] \n  32 [size=\"105437867\", alpha=\"0.05\", expect_size=\"31631360\"] \n  33 [size=\"166341973\", alpha=\"0.05\", expect_size=\"49902592\"] \n  34 [size=\"147834880\", alpha=\"0.15\", expect_size=\"44350464\"] \n  35 [size=\"172605440\", alpha=\"0.01\", expect_size=\"51781632\"] \n  36 [size=\"86633813\", alpha=\"0.11\", expect_size=\"25990144\"] \n  37 [size=\"46943573\", alpha=\"0.18\", expect_size=\"14083072\"] \n  38 [size=\"101171200\", alpha=\"0.05\", expect_size=\"30351360\"] \n  39 [size=\"20251307\", alpha=\"0.01\", expect_size=\"6075392\"] \n  40 [size=\"70836907\", alpha=\"0.12\", expect_size=\"21251072\"] \n  41 [size=\"26071040\", alpha=\"0.05\", expect_size=\"7821312\"] \n  42 [size=\"22401707\", alpha=\"0.14\", expect_size=\"6720512\"] \n  43 [size=\"63187627\", alpha=\"0.11\", expect_size=\"18956288\"] \n  44 [size=\"103881387\", alpha=\"0.17\", expect_size=\"31164416\"] \n  45 [size=\"64948907\", alpha=\"0.18\", expect_size=\"19484672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13053952\", alpha=\"0.11\", expect_size=\"6526976\"] \n  1 -> 4 [size =\"6526976\"]\n  2 [size=\"99981312\", alpha=\"0.09\", expect_size=\"49990656\"] \n  2 -> 3 [size =\"49990656\"]\n  2 -> 5 [size =\"49990656\"]\n  3 [size=\"37566464\", alpha=\"0.10\", expect_size=\"18783232\"] \n  4 [size=\"21463040\", alpha=\"0.18\", expect_size=\"10731520\"] \n  4 -> 6 [size =\"10731520\"]\n  5 [size=\"28139520\", alpha=\"0.04\", expect_size=\"14069760\"] \n  5 -> 6 [size =\"14069760\"]\n  5 -> 7 [size =\"14069760\"]\n  6 [size=\"88182784\", alpha=\"0.07\", expect_size=\"44091392\"] \n  6 -> 8 [size =\"44091392\"]\n  7 [size=\"43067392\", alpha=\"0.04\", expect_size=\"21533696\"] \n  7 -> 9 [size =\"21533696\"]\n  8 [size=\"69982208\", alpha=\"0.02\", expect_size=\"34991104\"] \n  9 [size=\"50726912\", alpha=\"0.19\", expect_size=\"25363456\"] \n  9 -> 10 [size =\"25363456\"]\n  9 -> 11 [size =\"25363456\"]\n  9 -> 12 [size =\"25363456\"]\n  10 [size=\"43100160\", alpha=\"0.12\", expect_size=\"21550080\"] \n  11 [size=\"16699392\", alpha=\"0.05\", expect_size=\"8349696\"] \n  11 -> 14 [size =\"8349696\"]\n  12 [size=\"68210688\", alpha=\"0.18\", expect_size=\"34105344\"] \n  12 -> 13 [size =\"34105344\"]\n  12 -> 14 [size =\"34105344\"]\n  12 -> 15 [size =\"34105344\"]\n  13 [size=\"18505728\", alpha=\"0.06\", expect_size=\"9252864\"] \n  13 -> 18 [size =\"9252864\"]\n  14 [size=\"63553536\", alpha=\"0.09\", expect_size=\"31776768\"] \n  14 -> 16 [size =\"31776768\"]\n  14 -> 17 [size =\"31776768\"]\n  15 [size=\"56107008\", alpha=\"0.07\", expect_size=\"28053504\"] \n  16 [size=\"75661312\", alpha=\"0.08\", expect_size=\"37830656\"] \n  16 -> 19 [size =\"37830656\"]\n  16 -> 20 [size =\"37830656\"]\n  17 [size=\"14829568\", alpha=\"0.03\", expect_size=\"7414784\"] \n  17 -> 19 [size =\"7414784\"]\n  18 [size=\"34154496\", alpha=\"0.00\", expect_size=\"17077248\"] \n  19 [size=\"43436032\", alpha=\"0.00\", expect_size=\"21718016\"] \n  19 -> 21 [size =\"21718016\"]\n  20 [size=\"36722688\", alpha=\"0.10\", expect_size=\"18361344\"] \n  20 -> 22 [size =\"18361344\"]\n  21 [size=\"93243392\", alpha=\"0.20\", expect_size=\"46621696\"] \n  21 -> 25 [size =\"46621696\"]\n  22 [size=\"21147648\", alpha=\"0.09\", expect_size=\"10573824\"] \n  22 -> 23 [size =\"10573824\"]\n  22 -> 24 [size =\"10573824\"]\n  23 [size=\"11200512\", alpha=\"0.04\", expect_size=\"5600256\"] \n  23 -> 28 [size =\"5600256\"]\n  24 [size=\"38633472\", alpha=\"0.01\", expect_size=\"19316736\"] \n  24 -> 27 [size =\"19316736\"]\n  25 [size=\"81942528\", alpha=\"0.02\", expect_size=\"40971264\"] \n  25 -> 26 [size =\"40971264\"]\n  25 -> 27 [size =\"40971264\"]\n  26 [size=\"22138880\", alpha=\"0.19\", expect_size=\"11069440\"] \n  27 [size=\"57747456\", alpha=\"0.04\", expect_size=\"28873728\"] \n  28 [size=\"71749632\", alpha=\"0.01\", expect_size=\"35874816\"] \n  28 -> 29 [size =\"35874816\"]\n  28 -> 30 [size =\"35874816\"]\n  29 [size=\"73895936\", alpha=\"0.06\", expect_size=\"36947968\"] \n  29 -> 31 [size =\"36947968\"]\n  29 -> 33 [size =\"36947968\"]\n  30 [size=\"73965568\", alpha=\"0.19\", expect_size=\"36982784\"] \n  30 -> 32 [size =\"36982784\"]\n  31 [size=\"25157632\", alpha=\"0.12\", expect_size=\"12578816\"] \n  31 -> 34 [size =\"12578816\"]\n  32 [size=\"24412160\", alpha=\"0.18\", expect_size=\"12206080\"] \n  32 -> 35 [size =\"12206080\"]\n  33 [size=\"66850816\", alpha=\"0.06\", expect_size=\"33425408\"] \n  33 -> 35 [size =\"33425408\"]\n  33 -> 36 [size =\"33425408\"]\n  34 [size=\"85184512\", alpha=\"0.05\", expect_size=\"42592256\"] \n  35 [size=\"90390528\", alpha=\"0.13\", expect_size=\"45195264\"] \n  35 -> 38 [size =\"45195264\"]\n  35 -> 39 [size =\"45195264\"]\n  36 [size=\"100122624\", alpha=\"0.16\", expect_size=\"50061312\"] \n  36 -> 37 [size =\"50061312\"]\n  36 -> 39 [size =\"50061312\"]\n  37 [size=\"97710080\", alpha=\"0.19\", expect_size=\"48855040\"] \n  38 [size=\"21362688\", alpha=\"0.07\", expect_size=\"10681344\"] \n  38 -> 40 [size =\"10681344\"]\n  38 -> 41 [size =\"10681344\"]\n  39 [size=\"24948736\", alpha=\"0.03\", expect_size=\"12474368\"] \n  39 -> 41 [size =\"12474368\"]\n  39 -> 42 [size =\"12474368\"]\n  40 [size=\"54339584\", alpha=\"0.03\", expect_size=\"27169792\"] \n  41 [size=\"47779840\", alpha=\"0.02\", expect_size=\"23889920\"] \n  41 -> 43 [size =\"23889920\"]\n  41 -> 44 [size =\"23889920\"]\n  41 -> 45 [size =\"23889920\"]\n  42 [size=\"11483136\", alpha=\"0.02\", expect_size=\"5741568\"] \n  43 [size=\"97548288\", alpha=\"0.03\", expect_size=\"48774144\"] \n  44 [size=\"30879744\", alpha=\"0.10\", expect_size=\"15439872\"] \n  45 [size=\"53291008\", alpha=\"0.12\", expect_size=\"26645504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101751467\", alpha=\"0.11\", expect_size=\"30525440\"] \n  1 -> 32 [size =\"30525440\"]\n  1 -> 33 [size =\"30525440\"]\n  1 -> 35 [size =\"30525440\"]\n  1 -> 37 [size =\"30525440\"]\n  1 -> 38 [size =\"30525440\"]\n  1 -> 40 [size =\"30525440\"]\n  2 [size=\"113097387\", alpha=\"0.11\", expect_size=\"33929216\"] \n  2 -> 32 [size =\"33929216\"]\n  2 -> 38 [size =\"33929216\"]\n  2 -> 41 [size =\"33929216\"]\n  2 -> 44 [size =\"33929216\"]\n  3 [size=\"54101333\", alpha=\"0.06\", expect_size=\"16230400\"] \n  3 -> 32 [size =\"16230400\"]\n  3 -> 33 [size =\"16230400\"]\n  3 -> 36 [size =\"16230400\"]\n  3 -> 39 [size =\"16230400\"]\n  3 -> 42 [size =\"16230400\"]\n  3 -> 44 [size =\"16230400\"]\n  4 [size=\"64047787\", alpha=\"0.07\", expect_size=\"19214336\"] \n  4 -> 31 [size =\"19214336\"]\n  4 -> 32 [size =\"19214336\"]\n  4 -> 33 [size =\"19214336\"]\n  4 -> 38 [size =\"19214336\"]\n  4 -> 40 [size =\"19214336\"]\n  4 -> 42 [size =\"19214336\"]\n  5 [size=\"132061867\", alpha=\"0.11\", expect_size=\"39618560\"] \n  5 -> 32 [size =\"39618560\"]\n  5 -> 32 [size =\"39618560\"]\n  5 -> 33 [size =\"39618560\"]\n  5 -> 38 [size =\"39618560\"]\n  5 -> 39 [size =\"39618560\"]\n  5 -> 40 [size =\"39618560\"]\n  5 -> 43 [size =\"39618560\"]\n  6 [size=\"89135787\", alpha=\"0.05\", expect_size=\"26740736\"] \n  6 -> 32 [size =\"26740736\"]\n  6 -> 35 [size =\"26740736\"]\n  6 -> 38 [size =\"26740736\"]\n  6 -> 40 [size =\"26740736\"]\n  6 -> 41 [size =\"26740736\"]\n  7 [size=\"171663360\", alpha=\"0.13\", expect_size=\"51499008\"] \n  7 -> 32 [size =\"51499008\"]\n  7 -> 33 [size =\"51499008\"]\n  7 -> 37 [size =\"51499008\"]\n  7 -> 38 [size =\"51499008\"]\n  7 -> 41 [size =\"51499008\"]\n  7 -> 44 [size =\"51499008\"]\n  8 [size=\"57070933\", alpha=\"0.18\", expect_size=\"17121280\"] \n  8 -> 31 [size =\"17121280\"]\n  8 -> 36 [size =\"17121280\"]\n  8 -> 40 [size =\"17121280\"]\n  8 -> 42 [size =\"17121280\"]\n  9 [size=\"135017813\", alpha=\"0.19\", expect_size=\"40505344\"] \n  9 -> 33 [size =\"40505344\"]\n  9 -> 36 [size =\"40505344\"]\n  9 -> 38 [size =\"40505344\"]\n  9 -> 40 [size =\"40505344\"]\n  9 -> 43 [size =\"40505344\"]\n  10 [size=\"110380373\", alpha=\"0.11\", expect_size=\"33114112\"] \n  10 -> 33 [size =\"33114112\"]\n  10 -> 35 [size =\"33114112\"]\n  10 -> 39 [size =\"33114112\"]\n  10 -> 41 [size =\"33114112\"]\n  10 -> 42 [size =\"33114112\"]\n  10 -> 43 [size =\"33114112\"]\n  11 [size=\"105939627\", alpha=\"0.07\", expect_size=\"31781888\"] \n  11 -> 35 [size =\"31781888\"]\n  11 -> 36 [size =\"31781888\"]\n  12 [size=\"35553280\", alpha=\"0.09\", expect_size=\"10665984\"] \n  12 -> 35 [size =\"10665984\"]\n  12 -> 38 [size =\"10665984\"]\n  12 -> 40 [size =\"10665984\"]\n  12 -> 41 [size =\"10665984\"]\n  12 -> 42 [size =\"10665984\"]\n  13 [size=\"123907413\", alpha=\"0.02\", expect_size=\"37172224\"] \n  13 -> 32 [size =\"37172224\"]\n  13 -> 35 [size =\"37172224\"]\n  13 -> 38 [size =\"37172224\"]\n  13 -> 41 [size =\"37172224\"]\n  13 -> 44 [size =\"37172224\"]\n  13 -> 45 [size =\"37172224\"]\n  14 [size=\"173786453\", alpha=\"0.08\", expect_size=\"52135936\"] \n  14 -> 31 [size =\"52135936\"]\n  14 -> 35 [size =\"52135936\"]\n  14 -> 36 [size =\"52135936\"]\n  14 -> 45 [size =\"52135936\"]\n  15 [size=\"73079467\", alpha=\"0.08\", expect_size=\"21923840\"] \n  15 -> 32 [size =\"21923840\"]\n  15 -> 36 [size =\"21923840\"]\n  15 -> 41 [size =\"21923840\"]\n  15 -> 42 [size =\"21923840\"]\n  15 -> 43 [size =\"21923840\"]\n  16 [size=\"158085120\", alpha=\"0.17\", expect_size=\"47425536\"] \n  16 -> 39 [size =\"47425536\"]\n  16 -> 40 [size =\"47425536\"]\n  16 -> 42 [size =\"47425536\"]\n  16 -> 43 [size =\"47425536\"]\n  17 [size=\"43687253\", alpha=\"0.10\", expect_size=\"13106176\"] \n  17 -> 34 [size =\"13106176\"]\n  17 -> 36 [size =\"13106176\"]\n  17 -> 40 [size =\"13106176\"]\n  17 -> 42 [size =\"13106176\"]\n  18 [size=\"144810667\", alpha=\"0.08\", expect_size=\"43443200\"] \n  18 -> 35 [size =\"43443200\"]\n  18 -> 36 [size =\"43443200\"]\n  18 -> 39 [size =\"43443200\"]\n  18 -> 44 [size =\"43443200\"]\n  19 [size=\"127119360\", alpha=\"0.01\", expect_size=\"38135808\"] \n  19 -> 31 [size =\"38135808\"]\n  19 -> 34 [size =\"38135808\"]\n  19 -> 36 [size =\"38135808\"]\n  19 -> 39 [size =\"38135808\"]\n  20 [size=\"122050560\", alpha=\"0.13\", expect_size=\"36615168\"] \n  20 -> 32 [size =\"36615168\"]\n  20 -> 33 [size =\"36615168\"]\n  20 -> 34 [size =\"36615168\"]\n  20 -> 35 [size =\"36615168\"]\n  20 -> 36 [size =\"36615168\"]\n  20 -> 40 [size =\"36615168\"]\n  21 [size=\"49244160\", alpha=\"0.15\", expect_size=\"14773248\"] \n  21 -> 35 [size =\"14773248\"]\n  21 -> 38 [size =\"14773248\"]\n  22 [size=\"106540373\", alpha=\"0.10\", expect_size=\"31962112\"] \n  22 -> 35 [size =\"31962112\"]\n  22 -> 44 [size =\"31962112\"]\n  22 -> 45 [size =\"31962112\"]\n  23 [size=\"17619627\", alpha=\"0.09\", expect_size=\"5285888\"] \n  23 -> 31 [size =\"5285888\"]\n  23 -> 32 [size =\"5285888\"]\n  23 -> 33 [size =\"5285888\"]\n  23 -> 34 [size =\"5285888\"]\n  23 -> 35 [size =\"5285888\"]\n  23 -> 37 [size =\"5285888\"]\n  23 -> 38 [size =\"5285888\"]\n  23 -> 41 [size =\"5285888\"]\n  23 -> 44 [size =\"5285888\"]\n  24 [size=\"35269973\", alpha=\"0.14\", expect_size=\"10580992\"] \n  24 -> 33 [size =\"10580992\"]\n  24 -> 35 [size =\"10580992\"]\n  24 -> 36 [size =\"10580992\"]\n  24 -> 37 [size =\"10580992\"]\n  24 -> 40 [size =\"10580992\"]\n  24 -> 44 [size =\"10580992\"]\n  25 [size=\"101720747\", alpha=\"0.14\", expect_size=\"30516224\"] \n  25 -> 33 [size =\"30516224\"]\n  25 -> 34 [size =\"30516224\"]\n  25 -> 35 [size =\"30516224\"]\n  25 -> 36 [size =\"30516224\"]\n  25 -> 39 [size =\"30516224\"]\n  25 -> 40 [size =\"30516224\"]\n  25 -> 45 [size =\"30516224\"]\n  26 [size=\"165632000\", alpha=\"0.03\", expect_size=\"49689600\"] \n  26 -> 35 [size =\"49689600\"]\n  26 -> 38 [size =\"49689600\"]\n  26 -> 42 [size =\"49689600\"]\n  26 -> 45 [size =\"49689600\"]\n  27 [size=\"141274453\", alpha=\"0.12\", expect_size=\"42382336\"] \n  27 -> 33 [size =\"42382336\"]\n  27 -> 35 [size =\"42382336\"]\n  27 -> 36 [size =\"42382336\"]\n  27 -> 38 [size =\"42382336\"]\n  27 -> 44 [size =\"42382336\"]\n  28 [size=\"59531947\", alpha=\"0.05\", expect_size=\"17859584\"] \n  28 -> 33 [size =\"17859584\"]\n  28 -> 34 [size =\"17859584\"]\n  28 -> 35 [size =\"17859584\"]\n  28 -> 36 [size =\"17859584\"]\n  28 -> 37 [size =\"17859584\"]\n  28 -> 38 [size =\"17859584\"]\n  28 -> 40 [size =\"17859584\"]\n  28 -> 45 [size =\"17859584\"]\n  29 [size=\"119435947\", alpha=\"0.13\", expect_size=\"35830784\"] \n  29 -> 31 [size =\"35830784\"]\n  29 -> 32 [size =\"35830784\"]\n  29 -> 33 [size =\"35830784\"]\n  29 -> 35 [size =\"35830784\"]\n  29 -> 37 [size =\"35830784\"]\n  29 -> 38 [size =\"35830784\"]\n  29 -> 40 [size =\"35830784\"]\n  29 -> 41 [size =\"35830784\"]\n  29 -> 43 [size =\"35830784\"]\n  29 -> 45 [size =\"35830784\"]\n  30 [size=\"129546240\", alpha=\"0.14\", expect_size=\"38863872\"] \n  30 -> 32 [size =\"38863872\"]\n  30 -> 32 [size =\"38863872\"]\n  30 -> 33 [size =\"38863872\"]\n  30 -> 36 [size =\"38863872\"]\n  30 -> 39 [size =\"38863872\"]\n  30 -> 40 [size =\"38863872\"]\n  30 -> 41 [size =\"38863872\"]\n  30 -> 45 [size =\"38863872\"]\n  31 [size=\"74513067\", alpha=\"0.05\", expect_size=\"22353920\"] \n  32 [size=\"38615040\", alpha=\"0.19\", expect_size=\"11584512\"] \n  33 [size=\"117480107\", alpha=\"0.06\", expect_size=\"35244032\"] \n  34 [size=\"33153707\", alpha=\"0.14\", expect_size=\"9946112\"] \n  35 [size=\"146790400\", alpha=\"0.08\", expect_size=\"44037120\"] \n  36 [size=\"101113173\", alpha=\"0.00\", expect_size=\"30333952\"] \n  37 [size=\"125071360\", alpha=\"0.16\", expect_size=\"37521408\"] \n  38 [size=\"58279253\", alpha=\"0.07\", expect_size=\"17483776\"] \n  39 [size=\"97624747\", alpha=\"0.13\", expect_size=\"29287424\"] \n  40 [size=\"46076587\", alpha=\"0.12\", expect_size=\"13822976\"] \n  41 [size=\"153825280\", alpha=\"0.15\", expect_size=\"46147584\"] \n  42 [size=\"37485227\", alpha=\"0.09\", expect_size=\"11245568\"] \n  43 [size=\"29699413\", alpha=\"0.03\", expect_size=\"8909824\"] \n  44 [size=\"79622827\", alpha=\"0.20\", expect_size=\"23886848\"] \n  45 [size=\"28989440\", alpha=\"0.07\", expect_size=\"8696832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50978133\", alpha=\"0.08\", expect_size=\"15293440\"] \n  1 -> 34 [size =\"15293440\"]\n  1 -> 35 [size =\"15293440\"]\n  1 -> 38 [size =\"15293440\"]\n  1 -> 39 [size =\"15293440\"]\n  1 -> 40 [size =\"15293440\"]\n  1 -> 41 [size =\"15293440\"]\n  1 -> 42 [size =\"15293440\"]\n  1 -> 43 [size =\"15293440\"]\n  2 [size=\"49926827\", alpha=\"0.08\", expect_size=\"14978048\"] \n  2 -> 33 [size =\"14978048\"]\n  2 -> 34 [size =\"14978048\"]\n  2 -> 35 [size =\"14978048\"]\n  2 -> 38 [size =\"14978048\"]\n  2 -> 41 [size =\"14978048\"]\n  2 -> 41 [size =\"14978048\"]\n  2 -> 43 [size =\"14978048\"]\n  2 -> 43 [size =\"14978048\"]\n  2 -> 44 [size =\"14978048\"]\n  3 [size=\"130631680\", alpha=\"0.06\", expect_size=\"39189504\"] \n  3 -> 32 [size =\"39189504\"]\n  3 -> 33 [size =\"39189504\"]\n  3 -> 34 [size =\"39189504\"]\n  3 -> 38 [size =\"39189504\"]\n  3 -> 39 [size =\"39189504\"]\n  3 -> 44 [size =\"39189504\"]\n  4 [size=\"164246187\", alpha=\"0.01\", expect_size=\"49273856\"] \n  4 -> 34 [size =\"49273856\"]\n  4 -> 36 [size =\"49273856\"]\n  4 -> 40 [size =\"49273856\"]\n  4 -> 43 [size =\"49273856\"]\n  5 [size=\"173755733\", alpha=\"0.02\", expect_size=\"52126720\"] \n  5 -> 31 [size =\"52126720\"]\n  5 -> 36 [size =\"52126720\"]\n  5 -> 38 [size =\"52126720\"]\n  5 -> 43 [size =\"52126720\"]\n  5 -> 44 [size =\"52126720\"]\n  6 [size=\"27357867\", alpha=\"0.18\", expect_size=\"8207360\"] \n  6 -> 31 [size =\"8207360\"]\n  6 -> 33 [size =\"8207360\"]\n  6 -> 36 [size =\"8207360\"]\n  6 -> 40 [size =\"8207360\"]\n  6 -> 43 [size =\"8207360\"]\n  6 -> 44 [size =\"8207360\"]\n  7 [size=\"111994880\", alpha=\"0.08\", expect_size=\"33598464\"] \n  7 -> 32 [size =\"33598464\"]\n  7 -> 33 [size =\"33598464\"]\n  7 -> 36 [size =\"33598464\"]\n  7 -> 39 [size =\"33598464\"]\n  7 -> 41 [size =\"33598464\"]\n  7 -> 43 [size =\"33598464\"]\n  8 [size=\"23453013\", alpha=\"0.09\", expect_size=\"7035904\"] \n  8 -> 32 [size =\"7035904\"]\n  8 -> 34 [size =\"7035904\"]\n  8 -> 35 [size =\"7035904\"]\n  8 -> 36 [size =\"7035904\"]\n  8 -> 39 [size =\"7035904\"]\n  8 -> 41 [size =\"7035904\"]\n  8 -> 42 [size =\"7035904\"]\n  8 -> 43 [size =\"7035904\"]\n  9 [size=\"24674987\", alpha=\"0.12\", expect_size=\"7402496\"] \n  9 -> 39 [size =\"7402496\"]\n  9 -> 43 [size =\"7402496\"]\n  9 -> 44 [size =\"7402496\"]\n  9 -> 45 [size =\"7402496\"]\n  10 [size=\"147394560\", alpha=\"0.03\", expect_size=\"44218368\"] \n  10 -> 33 [size =\"44218368\"]\n  10 -> 37 [size =\"44218368\"]\n  10 -> 39 [size =\"44218368\"]\n  10 -> 40 [size =\"44218368\"]\n  10 -> 43 [size =\"44218368\"]\n  10 -> 44 [size =\"44218368\"]\n  11 [size=\"63095467\", alpha=\"0.18\", expect_size=\"18928640\"] \n  11 -> 32 [size =\"18928640\"]\n  11 -> 33 [size =\"18928640\"]\n  11 -> 34 [size =\"18928640\"]\n  11 -> 40 [size =\"18928640\"]\n  11 -> 45 [size =\"18928640\"]\n  12 [size=\"124764160\", alpha=\"0.10\", expect_size=\"37429248\"] \n  12 -> 33 [size =\"37429248\"]\n  12 -> 35 [size =\"37429248\"]\n  12 -> 36 [size =\"37429248\"]\n  12 -> 39 [size =\"37429248\"]\n  12 -> 41 [size =\"37429248\"]\n  12 -> 42 [size =\"37429248\"]\n  13 [size=\"26917547\", alpha=\"0.11\", expect_size=\"8075264\"] \n  13 -> 32 [size =\"8075264\"]\n  13 -> 33 [size =\"8075264\"]\n  13 -> 36 [size =\"8075264\"]\n  13 -> 41 [size =\"8075264\"]\n  14 [size=\"76991147\", alpha=\"0.04\", expect_size=\"23097344\"] \n  14 -> 33 [size =\"23097344\"]\n  14 -> 34 [size =\"23097344\"]\n  14 -> 42 [size =\"23097344\"]\n  14 -> 44 [size =\"23097344\"]\n  15 [size=\"81268053\", alpha=\"0.16\", expect_size=\"24380416\"] \n  15 -> 33 [size =\"24380416\"]\n  15 -> 34 [size =\"24380416\"]\n  15 -> 36 [size =\"24380416\"]\n  15 -> 41 [size =\"24380416\"]\n  15 -> 43 [size =\"24380416\"]\n  16 [size=\"95310507\", alpha=\"0.17\", expect_size=\"28593152\"] \n  16 -> 33 [size =\"28593152\"]\n  16 -> 34 [size =\"28593152\"]\n  16 -> 35 [size =\"28593152\"]\n  16 -> 37 [size =\"28593152\"]\n  16 -> 40 [size =\"28593152\"]\n  16 -> 43 [size =\"28593152\"]\n  16 -> 44 [size =\"28593152\"]\n  17 [size=\"75973973\", alpha=\"0.13\", expect_size=\"22792192\"] \n  17 -> 33 [size =\"22792192\"]\n  17 -> 34 [size =\"22792192\"]\n  17 -> 35 [size =\"22792192\"]\n  17 -> 40 [size =\"22792192\"]\n  17 -> 42 [size =\"22792192\"]\n  17 -> 44 [size =\"22792192\"]\n  18 [size=\"137117013\", alpha=\"0.00\", expect_size=\"41135104\"] \n  18 -> 38 [size =\"41135104\"]\n  18 -> 40 [size =\"41135104\"]\n  18 -> 41 [size =\"41135104\"]\n  18 -> 43 [size =\"41135104\"]\n  19 [size=\"50384213\", alpha=\"0.02\", expect_size=\"15115264\"] \n  19 -> 39 [size =\"15115264\"]\n  19 -> 40 [size =\"15115264\"]\n  19 -> 41 [size =\"15115264\"]\n  19 -> 43 [size =\"15115264\"]\n  20 [size=\"148254720\", alpha=\"0.05\", expect_size=\"44476416\"] \n  20 -> 33 [size =\"44476416\"]\n  20 -> 41 [size =\"44476416\"]\n  20 -> 41 [size =\"44476416\"]\n  20 -> 43 [size =\"44476416\"]\n  20 -> 44 [size =\"44476416\"]\n  20 -> 45 [size =\"44476416\"]\n  21 [size=\"168608427\", alpha=\"0.13\", expect_size=\"50582528\"] \n  21 -> 32 [size =\"50582528\"]\n  21 -> 33 [size =\"50582528\"]\n  21 -> 36 [size =\"50582528\"]\n  21 -> 37 [size =\"50582528\"]\n  21 -> 38 [size =\"50582528\"]\n  21 -> 40 [size =\"50582528\"]\n  21 -> 41 [size =\"50582528\"]\n  22 [size=\"156518400\", alpha=\"0.04\", expect_size=\"46955520\"] \n  22 -> 32 [size =\"46955520\"]\n  22 -> 33 [size =\"46955520\"]\n  22 -> 34 [size =\"46955520\"]\n  22 -> 38 [size =\"46955520\"]\n  22 -> 39 [size =\"46955520\"]\n  22 -> 41 [size =\"46955520\"]\n  22 -> 43 [size =\"46955520\"]\n  22 -> 44 [size =\"46955520\"]\n  23 [size=\"78039040\", alpha=\"0.11\", expect_size=\"23411712\"] \n  23 -> 32 [size =\"23411712\"]\n  23 -> 34 [size =\"23411712\"]\n  23 -> 34 [size =\"23411712\"]\n  23 -> 42 [size =\"23411712\"]\n  23 -> 43 [size =\"23411712\"]\n  24 [size=\"167980373\", alpha=\"0.15\", expect_size=\"50394112\"] \n  24 -> 32 [size =\"50394112\"]\n  24 -> 34 [size =\"50394112\"]\n  24 -> 39 [size =\"50394112\"]\n  24 -> 42 [size =\"50394112\"]\n  25 [size=\"44438187\", alpha=\"0.20\", expect_size=\"13331456\"] \n  25 -> 31 [size =\"13331456\"]\n  25 -> 33 [size =\"13331456\"]\n  25 -> 39 [size =\"13331456\"]\n  25 -> 41 [size =\"13331456\"]\n  25 -> 44 [size =\"13331456\"]\n  26 [size=\"172673707\", alpha=\"0.06\", expect_size=\"51802112\"] \n  26 -> 32 [size =\"51802112\"]\n  26 -> 34 [size =\"51802112\"]\n  26 -> 39 [size =\"51802112\"]\n  26 -> 42 [size =\"51802112\"]\n  27 [size=\"149497173\", alpha=\"0.04\", expect_size=\"44849152\"] \n  27 -> 34 [size =\"44849152\"]\n  27 -> 36 [size =\"44849152\"]\n  27 -> 40 [size =\"44849152\"]\n  27 -> 42 [size =\"44849152\"]\n  27 -> 44 [size =\"44849152\"]\n  28 [size=\"92252160\", alpha=\"0.02\", expect_size=\"27675648\"] \n  28 -> 33 [size =\"27675648\"]\n  28 -> 34 [size =\"27675648\"]\n  28 -> 38 [size =\"27675648\"]\n  28 -> 39 [size =\"27675648\"]\n  28 -> 40 [size =\"27675648\"]\n  28 -> 42 [size =\"27675648\"]\n  28 -> 43 [size =\"27675648\"]\n  28 -> 45 [size =\"27675648\"]\n  29 [size=\"93924693\", alpha=\"0.02\", expect_size=\"28177408\"] \n  29 -> 31 [size =\"28177408\"]\n  29 -> 32 [size =\"28177408\"]\n  29 -> 34 [size =\"28177408\"]\n  29 -> 36 [size =\"28177408\"]\n  29 -> 39 [size =\"28177408\"]\n  29 -> 42 [size =\"28177408\"]\n  29 -> 45 [size =\"28177408\"]\n  30 [size=\"108475733\", alpha=\"0.18\", expect_size=\"32542720\"] \n  30 -> 33 [size =\"32542720\"]\n  30 -> 35 [size =\"32542720\"]\n  30 -> 36 [size =\"32542720\"]\n  30 -> 37 [size =\"32542720\"]\n  30 -> 38 [size =\"32542720\"]\n  30 -> 39 [size =\"32542720\"]\n  30 -> 42 [size =\"32542720\"]\n  30 -> 45 [size =\"32542720\"]\n  31 [size=\"149111467\", alpha=\"0.20\", expect_size=\"44733440\"] \n  32 [size=\"92047360\", alpha=\"0.15\", expect_size=\"27614208\"] \n  33 [size=\"127020373\", alpha=\"0.12\", expect_size=\"38106112\"] \n  34 [size=\"52619947\", alpha=\"0.17\", expect_size=\"15785984\"] \n  35 [size=\"172895573\", alpha=\"0.09\", expect_size=\"51868672\"] \n  36 [size=\"172277760\", alpha=\"0.11\", expect_size=\"51683328\"] \n  37 [size=\"60644693\", alpha=\"0.01\", expect_size=\"18193408\"] \n  38 [size=\"89808213\", alpha=\"0.06\", expect_size=\"26942464\"] \n  39 [size=\"108451840\", alpha=\"0.15\", expect_size=\"32535552\"] \n  40 [size=\"123781120\", alpha=\"0.01\", expect_size=\"37134336\"] \n  41 [size=\"108427947\", alpha=\"0.06\", expect_size=\"32528384\"] \n  42 [size=\"108011520\", alpha=\"0.09\", expect_size=\"32403456\"] \n  43 [size=\"72540160\", alpha=\"0.19\", expect_size=\"21762048\"] \n  44 [size=\"168738133\", alpha=\"0.09\", expect_size=\"50621440\"] \n  45 [size=\"141550933\", alpha=\"0.02\", expect_size=\"42465280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65077760\", alpha=\"0.18\", expect_size=\"26031104\"] \n  1 -> 2 [size =\"26031104\"]\n  2 [size=\"17251840\", alpha=\"0.12\", expect_size=\"6900736\"] \n  2 -> 3 [size =\"6900736\"]\n  3 [size=\"105684480\", alpha=\"0.08\", expect_size=\"42273792\"] \n  3 -> 4 [size =\"42273792\"]\n  4 [size=\"80348160\", alpha=\"0.17\", expect_size=\"32139264\"] \n  4 -> 5 [size =\"32139264\"]\n  5 [size=\"76976640\", alpha=\"0.03\", expect_size=\"30790656\"] \n  5 -> 6 [size =\"30790656\"]\n  6 [size=\"13409280\", alpha=\"0.14\", expect_size=\"5363712\"] \n  6 -> 7 [size =\"5363712\"]\n  7 [size=\"43243520\", alpha=\"0.13\", expect_size=\"17297408\"] \n  7 -> 8 [size =\"17297408\"]\n  8 [size=\"44999680\", alpha=\"0.09\", expect_size=\"17999872\"] \n  8 -> 9 [size =\"17999872\"]\n  9 [size=\"102210560\", alpha=\"0.09\", expect_size=\"40884224\"] \n  9 -> 10 [size =\"40884224\"]\n  10 [size=\"81541120\", alpha=\"0.08\", expect_size=\"32616448\"] \n  10 -> 11 [size =\"32616448\"]\n  11 [size=\"76633600\", alpha=\"0.18\", expect_size=\"30653440\"] \n  11 -> 12 [size =\"30653440\"]\n  12 [size=\"66516480\", alpha=\"0.16\", expect_size=\"26606592\"] \n  12 -> 13 [size =\"26606592\"]\n  13 [size=\"21547520\", alpha=\"0.12\", expect_size=\"8619008\"] \n  13 -> 14 [size =\"8619008\"]\n  14 [size=\"70799360\", alpha=\"0.15\", expect_size=\"28319744\"] \n  14 -> 15 [size =\"28319744\"]\n  15 [size=\"50703360\", alpha=\"0.07\", expect_size=\"20281344\"] \n  15 -> 16 [size =\"20281344\"]\n  16 [size=\"67522560\", alpha=\"0.07\", expect_size=\"27009024\"] \n  16 -> 17 [size =\"27009024\"]\n  17 [size=\"29777920\", alpha=\"0.02\", expect_size=\"11911168\"] \n  17 -> 18 [size =\"11911168\"]\n  18 [size=\"106716160\", alpha=\"0.14\", expect_size=\"42686464\"] \n  18 -> 19 [size =\"42686464\"]\n  19 [size=\"38896640\", alpha=\"0.00\", expect_size=\"15558656\"] \n  19 -> 20 [size =\"15558656\"]\n  20 [size=\"90688000\", alpha=\"0.05\", expect_size=\"36275200\"] \n  20 -> 21 [size =\"36275200\"]\n  21 [size=\"19837440\", alpha=\"0.20\", expect_size=\"7934976\"] \n  21 -> 22 [size =\"7934976\"]\n  22 [size=\"123765760\", alpha=\"0.15\", expect_size=\"49506304\"] \n  22 -> 23 [size =\"49506304\"]\n  23 [size=\"98762240\", alpha=\"0.05\", expect_size=\"39504896\"] \n  23 -> 24 [size =\"39504896\"]\n  24 [size=\"50270720\", alpha=\"0.07\", expect_size=\"20108288\"] \n  24 -> 25 [size =\"20108288\"]\n  25 [size=\"17963520\", alpha=\"0.00\", expect_size=\"7185408\"] \n  25 -> 26 [size =\"7185408\"]\n  26 [size=\"57994240\", alpha=\"0.13\", expect_size=\"23197696\"] \n  26 -> 27 [size =\"23197696\"]\n  27 [size=\"99796480\", alpha=\"0.11\", expect_size=\"39918592\"] \n  27 -> 28 [size =\"39918592\"]\n  28 [size=\"110464000\", alpha=\"0.14\", expect_size=\"44185600\"] \n  28 -> 29 [size =\"44185600\"]\n  29 [size=\"74690560\", alpha=\"0.13\", expect_size=\"29876224\"] \n  29 -> 30 [size =\"29876224\"]\n  30 [size=\"75315200\", alpha=\"0.03\", expect_size=\"30126080\"] \n  30 -> 31 [size =\"30126080\"]\n  31 [size=\"107755520\", alpha=\"0.04\", expect_size=\"43102208\"] \n  31 -> 32 [size =\"43102208\"]\n  32 [size=\"106017280\", alpha=\"0.14\", expect_size=\"42406912\"] \n  32 -> 33 [size =\"42406912\"]\n  33 [size=\"74250240\", alpha=\"0.05\", expect_size=\"29700096\"] \n  33 -> 34 [size =\"29700096\"]\n  34 [size=\"105029120\", alpha=\"0.06\", expect_size=\"42011648\"] \n  34 -> 35 [size =\"42011648\"]\n  35 [size=\"29670400\", alpha=\"0.14\", expect_size=\"11868160\"] \n  35 -> 36 [size =\"11868160\"]\n  36 [size=\"30008320\", alpha=\"0.11\", expect_size=\"12003328\"] \n  36 -> 37 [size =\"12003328\"]\n  37 [size=\"106344960\", alpha=\"0.10\", expect_size=\"42537984\"] \n  37 -> 38 [size =\"42537984\"]\n  38 [size=\"52887040\", alpha=\"0.06\", expect_size=\"21154816\"] \n  38 -> 39 [size =\"21154816\"]\n  39 [size=\"19491840\", alpha=\"0.05\", expect_size=\"7796736\"] \n  39 -> 40 [size =\"7796736\"]\n  40 [size=\"95265280\", alpha=\"0.18\", expect_size=\"38106112\"] \n  40 -> 41 [size =\"38106112\"]\n  41 [size=\"112711680\", alpha=\"0.12\", expect_size=\"45084672\"] \n  41 -> 42 [size =\"45084672\"]\n  42 [size=\"17392640\", alpha=\"0.05\", expect_size=\"6957056\"] \n  42 -> 43 [size =\"6957056\"]\n  43 [size=\"98652160\", alpha=\"0.13\", expect_size=\"39460864\"] \n  43 -> 44 [size =\"39460864\"]\n  44 [size=\"128995840\", alpha=\"0.06\", expect_size=\"51598336\"] \n  44 -> 45 [size =\"51598336\"]\n  45 [size=\"48156160\", alpha=\"0.01\", expect_size=\"19262464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50061312\", alpha=\"0.12\", expect_size=\"25030656\"] \n  1 -> 33 [size =\"25030656\"]\n  1 -> 36 [size =\"25030656\"]\n  1 -> 37 [size =\"25030656\"]\n  1 -> 38 [size =\"25030656\"]\n  1 -> 39 [size =\"25030656\"]\n  1 -> 41 [size =\"25030656\"]\n  1 -> 43 [size =\"25030656\"]\n  2 [size=\"18485248\", alpha=\"0.01\", expect_size=\"9242624\"] \n  2 -> 31 [size =\"9242624\"]\n  2 -> 34 [size =\"9242624\"]\n  2 -> 37 [size =\"9242624\"]\n  2 -> 41 [size =\"9242624\"]\n  2 -> 42 [size =\"9242624\"]\n  2 -> 44 [size =\"9242624\"]\n  2 -> 45 [size =\"9242624\"]\n  3 [size=\"98805760\", alpha=\"0.17\", expect_size=\"49402880\"] \n  3 -> 30 [size =\"49402880\"]\n  3 -> 31 [size =\"49402880\"]\n  3 -> 42 [size =\"49402880\"]\n  4 [size=\"64696320\", alpha=\"0.15\", expect_size=\"32348160\"] \n  4 -> 30 [size =\"32348160\"]\n  4 -> 31 [size =\"32348160\"]\n  4 -> 36 [size =\"32348160\"]\n  4 -> 37 [size =\"32348160\"]\n  4 -> 41 [size =\"32348160\"]\n  4 -> 42 [size =\"32348160\"]\n  5 [size=\"53217280\", alpha=\"0.16\", expect_size=\"26608640\"] \n  5 -> 30 [size =\"26608640\"]\n  5 -> 32 [size =\"26608640\"]\n  5 -> 35 [size =\"26608640\"]\n  5 -> 36 [size =\"26608640\"]\n  5 -> 37 [size =\"26608640\"]\n  5 -> 40 [size =\"26608640\"]\n  5 -> 42 [size =\"26608640\"]\n  6 [size=\"21014528\", alpha=\"0.00\", expect_size=\"10507264\"] \n  6 -> 38 [size =\"10507264\"]\n  6 -> 40 [size =\"10507264\"]\n  7 [size=\"93603840\", alpha=\"0.04\", expect_size=\"46801920\"] \n  7 -> 33 [size =\"46801920\"]\n  7 -> 35 [size =\"46801920\"]\n  7 -> 40 [size =\"46801920\"]\n  7 -> 44 [size =\"46801920\"]\n  7 -> 45 [size =\"46801920\"]\n  8 [size=\"58734592\", alpha=\"0.07\", expect_size=\"29367296\"] \n  8 -> 31 [size =\"29367296\"]\n  8 -> 33 [size =\"29367296\"]\n  8 -> 34 [size =\"29367296\"]\n  8 -> 36 [size =\"29367296\"]\n  8 -> 38 [size =\"29367296\"]\n  8 -> 40 [size =\"29367296\"]\n  9 [size=\"45559808\", alpha=\"0.09\", expect_size=\"22779904\"] \n  9 -> 31 [size =\"22779904\"]\n  9 -> 33 [size =\"22779904\"]\n  9 -> 36 [size =\"22779904\"]\n  9 -> 40 [size =\"22779904\"]\n  9 -> 41 [size =\"22779904\"]\n  9 -> 43 [size =\"22779904\"]\n  9 -> 44 [size =\"22779904\"]\n  9 -> 45 [size =\"22779904\"]\n  10 [size=\"63879168\", alpha=\"0.18\", expect_size=\"31939584\"] \n  10 -> 30 [size =\"31939584\"]\n  10 -> 31 [size =\"31939584\"]\n  10 -> 35 [size =\"31939584\"]\n  10 -> 36 [size =\"31939584\"]\n  10 -> 37 [size =\"31939584\"]\n  10 -> 39 [size =\"31939584\"]\n  11 [size=\"74575872\", alpha=\"0.10\", expect_size=\"37287936\"] \n  11 -> 31 [size =\"37287936\"]\n  11 -> 34 [size =\"37287936\"]\n  11 -> 35 [size =\"37287936\"]\n  11 -> 37 [size =\"37287936\"]\n  11 -> 38 [size =\"37287936\"]\n  11 -> 41 [size =\"37287936\"]\n  11 -> 45 [size =\"37287936\"]\n  12 [size=\"39137280\", alpha=\"0.10\", expect_size=\"19568640\"] \n  12 -> 33 [size =\"19568640\"]\n  12 -> 34 [size =\"19568640\"]\n  12 -> 36 [size =\"19568640\"]\n  12 -> 40 [size =\"19568640\"]\n  12 -> 45 [size =\"19568640\"]\n  13 [size=\"44175360\", alpha=\"0.08\", expect_size=\"22087680\"] \n  13 -> 30 [size =\"22087680\"]\n  13 -> 37 [size =\"22087680\"]\n  13 -> 40 [size =\"22087680\"]\n  13 -> 43 [size =\"22087680\"]\n  13 -> 44 [size =\"22087680\"]\n  14 [size=\"30064640\", alpha=\"0.13\", expect_size=\"15032320\"] \n  14 -> 32 [size =\"15032320\"]\n  14 -> 33 [size =\"15032320\"]\n  14 -> 34 [size =\"15032320\"]\n  14 -> 41 [size =\"15032320\"]\n  14 -> 43 [size =\"15032320\"]\n  15 [size=\"98686976\", alpha=\"0.01\", expect_size=\"49343488\"] \n  15 -> 30 [size =\"49343488\"]\n  15 -> 38 [size =\"49343488\"]\n  15 -> 40 [size =\"49343488\"]\n  15 -> 41 [size =\"49343488\"]\n  15 -> 45 [size =\"49343488\"]\n  16 [size=\"80461824\", alpha=\"0.17\", expect_size=\"40230912\"] \n  16 -> 30 [size =\"40230912\"]\n  16 -> 31 [size =\"40230912\"]\n  16 -> 34 [size =\"40230912\"]\n  16 -> 36 [size =\"40230912\"]\n  16 -> 43 [size =\"40230912\"]\n  16 -> 45 [size =\"40230912\"]\n  17 [size=\"81733632\", alpha=\"0.07\", expect_size=\"40866816\"] \n  17 -> 30 [size =\"40866816\"]\n  17 -> 31 [size =\"40866816\"]\n  17 -> 34 [size =\"40866816\"]\n  17 -> 36 [size =\"40866816\"]\n  17 -> 39 [size =\"40866816\"]\n  18 [size=\"99332096\", alpha=\"0.02\", expect_size=\"49666048\"] \n  18 -> 30 [size =\"49666048\"]\n  18 -> 31 [size =\"49666048\"]\n  18 -> 35 [size =\"49666048\"]\n  18 -> 36 [size =\"49666048\"]\n  18 -> 37 [size =\"49666048\"]\n  18 -> 40 [size =\"49666048\"]\n  18 -> 44 [size =\"49666048\"]\n  19 [size=\"37906432\", alpha=\"0.19\", expect_size=\"18953216\"] \n  19 -> 34 [size =\"18953216\"]\n  19 -> 35 [size =\"18953216\"]\n  19 -> 35 [size =\"18953216\"]\n  19 -> 36 [size =\"18953216\"]\n  19 -> 38 [size =\"18953216\"]\n  19 -> 39 [size =\"18953216\"]\n  19 -> 42 [size =\"18953216\"]\n  19 -> 43 [size =\"18953216\"]\n  19 -> 44 [size =\"18953216\"]\n  19 -> 45 [size =\"18953216\"]\n  20 [size=\"82429952\", alpha=\"0.01\", expect_size=\"41214976\"] \n  20 -> 31 [size =\"41214976\"]\n  20 -> 33 [size =\"41214976\"]\n  20 -> 35 [size =\"41214976\"]\n  20 -> 37 [size =\"41214976\"]\n  20 -> 39 [size =\"41214976\"]\n  20 -> 41 [size =\"41214976\"]\n  20 -> 42 [size =\"41214976\"]\n  21 [size=\"73711616\", alpha=\"0.12\", expect_size=\"36855808\"] \n  21 -> 31 [size =\"36855808\"]\n  21 -> 33 [size =\"36855808\"]\n  21 -> 35 [size =\"36855808\"]\n  21 -> 36 [size =\"36855808\"]\n  21 -> 38 [size =\"36855808\"]\n  21 -> 39 [size =\"36855808\"]\n  21 -> 45 [size =\"36855808\"]\n  22 [size=\"24256512\", alpha=\"0.04\", expect_size=\"12128256\"] \n  22 -> 34 [size =\"12128256\"]\n  22 -> 35 [size =\"12128256\"]\n  22 -> 35 [size =\"12128256\"]\n  22 -> 36 [size =\"12128256\"]\n  22 -> 37 [size =\"12128256\"]\n  22 -> 38 [size =\"12128256\"]\n  22 -> 43 [size =\"12128256\"]\n  22 -> 45 [size =\"12128256\"]\n  23 [size=\"70584320\", alpha=\"0.15\", expect_size=\"35292160\"] \n  23 -> 30 [size =\"35292160\"]\n  23 -> 31 [size =\"35292160\"]\n  23 -> 33 [size =\"35292160\"]\n  23 -> 35 [size =\"35292160\"]\n  23 -> 36 [size =\"35292160\"]\n  23 -> 45 [size =\"35292160\"]\n  24 [size=\"13209600\", alpha=\"0.17\", expect_size=\"6604800\"] \n  24 -> 31 [size =\"6604800\"]\n  24 -> 33 [size =\"6604800\"]\n  24 -> 36 [size =\"6604800\"]\n  24 -> 38 [size =\"6604800\"]\n  24 -> 40 [size =\"6604800\"]\n  24 -> 42 [size =\"6604800\"]\n  24 -> 45 [size =\"6604800\"]\n  25 [size=\"72667136\", alpha=\"0.09\", expect_size=\"36333568\"] \n  25 -> 31 [size =\"36333568\"]\n  25 -> 33 [size =\"36333568\"]\n  25 -> 34 [size =\"36333568\"]\n  25 -> 37 [size =\"36333568\"]\n  25 -> 40 [size =\"36333568\"]\n  25 -> 43 [size =\"36333568\"]\n  26 [size=\"78100480\", alpha=\"0.02\", expect_size=\"39050240\"] \n  26 -> 30 [size =\"39050240\"]\n  26 -> 33 [size =\"39050240\"]\n  26 -> 34 [size =\"39050240\"]\n  26 -> 37 [size =\"39050240\"]\n  26 -> 38 [size =\"39050240\"]\n  26 -> 40 [size =\"39050240\"]\n  26 -> 45 [size =\"39050240\"]\n  27 [size=\"64327680\", alpha=\"0.14\", expect_size=\"32163840\"] \n  27 -> 37 [size =\"32163840\"]\n  27 -> 38 [size =\"32163840\"]\n  27 -> 40 [size =\"32163840\"]\n  27 -> 44 [size =\"32163840\"]\n  27 -> 45 [size =\"32163840\"]\n  28 [size=\"96266240\", alpha=\"0.15\", expect_size=\"48133120\"] \n  28 -> 31 [size =\"48133120\"]\n  28 -> 33 [size =\"48133120\"]\n  28 -> 36 [size =\"48133120\"]\n  28 -> 39 [size =\"48133120\"]\n  28 -> 40 [size =\"48133120\"]\n  29 [size=\"12535808\", alpha=\"0.04\", expect_size=\"6267904\"] \n  29 -> 31 [size =\"6267904\"]\n  29 -> 35 [size =\"6267904\"]\n  29 -> 36 [size =\"6267904\"]\n  29 -> 39 [size =\"6267904\"]\n  30 [size=\"102653952\", alpha=\"0.04\", expect_size=\"51326976\"] \n  31 [size=\"13901824\", alpha=\"0.18\", expect_size=\"6950912\"] \n  32 [size=\"68968448\", alpha=\"0.18\", expect_size=\"34484224\"] \n  33 [size=\"87115776\", alpha=\"0.05\", expect_size=\"43557888\"] \n  34 [size=\"62289920\", alpha=\"0.16\", expect_size=\"31144960\"] \n  35 [size=\"48701440\", alpha=\"0.06\", expect_size=\"24350720\"] \n  36 [size=\"89083904\", alpha=\"0.11\", expect_size=\"44541952\"] \n  37 [size=\"99596288\", alpha=\"0.11\", expect_size=\"49798144\"] \n  38 [size=\"68984832\", alpha=\"0.09\", expect_size=\"34492416\"] \n  39 [size=\"45496320\", alpha=\"0.14\", expect_size=\"22748160\"] \n  40 [size=\"64208896\", alpha=\"0.14\", expect_size=\"32104448\"] \n  41 [size=\"84144128\", alpha=\"0.07\", expect_size=\"42072064\"] \n  42 [size=\"75018240\", alpha=\"0.03\", expect_size=\"37509120\"] \n  43 [size=\"65486848\", alpha=\"0.11\", expect_size=\"32743424\"] \n  44 [size=\"89241600\", alpha=\"0.01\", expect_size=\"44620800\"] \n  45 [size=\"71485440\", alpha=\"0.03\", expect_size=\"35742720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16867840\", alpha=\"0.12\", expect_size=\"6747136\"] \n  1 -> 2 [size =\"6747136\"]\n  1 -> 3 [size =\"6747136\"]\n  1 -> 4 [size =\"6747136\"]\n  1 -> 5 [size =\"6747136\"]\n  2 [size=\"102888960\", alpha=\"0.17\", expect_size=\"41155584\"] \n  2 -> 6 [size =\"41155584\"]\n  2 -> 7 [size =\"41155584\"]\n  2 -> 8 [size =\"41155584\"]\n  3 [size=\"48529920\", alpha=\"0.04\", expect_size=\"19411968\"] \n  4 [size=\"96217600\", alpha=\"0.07\", expect_size=\"38487040\"] \n  5 [size=\"89382400\", alpha=\"0.01\", expect_size=\"35752960\"] \n  6 [size=\"29913600\", alpha=\"0.06\", expect_size=\"11965440\"] \n  7 [size=\"47344640\", alpha=\"0.18\", expect_size=\"18937856\"] \n  7 -> 9 [size =\"18937856\"]\n  7 -> 10 [size =\"18937856\"]\n  7 -> 11 [size =\"18937856\"]\n  8 [size=\"91581440\", alpha=\"0.19\", expect_size=\"36632576\"] \n  9 [size=\"72455680\", alpha=\"0.16\", expect_size=\"28982272\"] \n  9 -> 13 [size =\"28982272\"]\n  10 [size=\"93601280\", alpha=\"0.20\", expect_size=\"37440512\"] \n  10 -> 12 [size =\"37440512\"]\n  10 -> 13 [size =\"37440512\"]\n  11 [size=\"16780800\", alpha=\"0.02\", expect_size=\"6712320\"] \n  11 -> 12 [size =\"6712320\"]\n  12 [size=\"88353280\", alpha=\"0.07\", expect_size=\"35341312\"] \n  13 [size=\"67827200\", alpha=\"0.02\", expect_size=\"27130880\"] \n  13 -> 14 [size =\"27130880\"]\n  14 [size=\"89003520\", alpha=\"0.19\", expect_size=\"35601408\"] \n  14 -> 15 [size =\"35601408\"]\n  14 -> 16 [size =\"35601408\"]\n  15 [size=\"128796160\", alpha=\"0.07\", expect_size=\"51518464\"] \n  16 [size=\"16967680\", alpha=\"0.15\", expect_size=\"6787072\"] \n  16 -> 17 [size =\"6787072\"]\n  17 [size=\"51929600\", alpha=\"0.05\", expect_size=\"20771840\"] \n  17 -> 18 [size =\"20771840\"]\n  18 [size=\"37232640\", alpha=\"0.12\", expect_size=\"14893056\"] \n  18 -> 19 [size =\"14893056\"]\n  18 -> 20 [size =\"14893056\"]\n  18 -> 21 [size =\"14893056\"]\n  19 [size=\"28515840\", alpha=\"0.08\", expect_size=\"11406336\"] \n  19 -> 22 [size =\"11406336\"]\n  19 -> 23 [size =\"11406336\"]\n  20 [size=\"121067520\", alpha=\"0.07\", expect_size=\"48427008\"] \n  21 [size=\"118845440\", alpha=\"0.07\", expect_size=\"47538176\"] \n  22 [size=\"129420800\", alpha=\"0.02\", expect_size=\"51768320\"] \n  22 -> 25 [size =\"51768320\"]\n  23 [size=\"51712000\", alpha=\"0.03\", expect_size=\"20684800\"] \n  23 -> 24 [size =\"20684800\"]\n  23 -> 26 [size =\"20684800\"]\n  23 -> 27 [size =\"20684800\"]\n  24 [size=\"62917120\", alpha=\"0.18\", expect_size=\"25166848\"] \n  25 [size=\"57610240\", alpha=\"0.06\", expect_size=\"23044096\"] \n  26 [size=\"98037760\", alpha=\"0.17\", expect_size=\"39215104\"] \n  26 -> 28 [size =\"39215104\"]\n  27 [size=\"69752320\", alpha=\"0.14\", expect_size=\"27900928\"] \n  27 -> 28 [size =\"27900928\"]\n  28 [size=\"96683520\", alpha=\"0.04\", expect_size=\"38673408\"] \n  28 -> 29 [size =\"38673408\"]\n  28 -> 30 [size =\"38673408\"]\n  28 -> 31 [size =\"38673408\"]\n  28 -> 32 [size =\"38673408\"]\n  29 [size=\"49359360\", alpha=\"0.04\", expect_size=\"19743744\"] \n  29 -> 33 [size =\"19743744\"]\n  29 -> 34 [size =\"19743744\"]\n  30 [size=\"97743360\", alpha=\"0.18\", expect_size=\"39097344\"] \n  30 -> 34 [size =\"39097344\"]\n  31 [size=\"23083520\", alpha=\"0.12\", expect_size=\"9233408\"] \n  32 [size=\"65070080\", alpha=\"0.19\", expect_size=\"26028032\"] \n  33 [size=\"77557760\", alpha=\"0.15\", expect_size=\"31023104\"] \n  33 -> 35 [size =\"31023104\"]\n  33 -> 37 [size =\"31023104\"]\n  33 -> 38 [size =\"31023104\"]\n  34 [size=\"95971840\", alpha=\"0.05\", expect_size=\"38388736\"] \n  34 -> 36 [size =\"38388736\"]\n  35 [size=\"85455360\", alpha=\"0.13\", expect_size=\"34182144\"] \n  36 [size=\"122286080\", alpha=\"0.03\", expect_size=\"48914432\"] \n  37 [size=\"105308160\", alpha=\"0.19\", expect_size=\"42123264\"] \n  37 -> 39 [size =\"42123264\"]\n  38 [size=\"68759040\", alpha=\"0.19\", expect_size=\"27503616\"] \n  38 -> 40 [size =\"27503616\"]\n  39 [size=\"91118080\", alpha=\"0.02\", expect_size=\"36447232\"] \n  39 -> 41 [size =\"36447232\"]\n  40 [size=\"113768960\", alpha=\"0.03\", expect_size=\"45507584\"] \n  41 [size=\"99243520\", alpha=\"0.02\", expect_size=\"39697408\"] \n  41 -> 42 [size =\"39697408\"]\n  41 -> 43 [size =\"39697408\"]\n  42 [size=\"51212800\", alpha=\"0.01\", expect_size=\"20485120\"] \n  42 -> 45 [size =\"20485120\"]\n  43 [size=\"44930560\", alpha=\"0.06\", expect_size=\"17972224\"] \n  43 -> 44 [size =\"17972224\"]\n  44 [size=\"17149440\", alpha=\"0.20\", expect_size=\"6859776\"] \n  45 [size=\"43765760\", alpha=\"0.01\", expect_size=\"17506304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153487360\", alpha=\"0.09\", expect_size=\"46046208\"] \n  1 -> 16 [size =\"46046208\"]\n  1 -> 20 [size =\"46046208\"]\n  1 -> 21 [size =\"46046208\"]\n  1 -> 22 [size =\"46046208\"]\n  1 -> 23 [size =\"46046208\"]\n  1 -> 24 [size =\"46046208\"]\n  2 [size=\"133642240\", alpha=\"0.05\", expect_size=\"40092672\"] \n  2 -> 13 [size =\"40092672\"]\n  2 -> 18 [size =\"40092672\"]\n  2 -> 22 [size =\"40092672\"]\n  2 -> 23 [size =\"40092672\"]\n  2 -> 24 [size =\"40092672\"]\n  3 [size=\"158180693\", alpha=\"0.07\", expect_size=\"47454208\"] \n  3 -> 13 [size =\"47454208\"]\n  3 -> 16 [size =\"47454208\"]\n  3 -> 18 [size =\"47454208\"]\n  3 -> 21 [size =\"47454208\"]\n  4 [size=\"165618347\", alpha=\"0.05\", expect_size=\"49685504\"] \n  4 -> 13 [size =\"49685504\"]\n  4 -> 16 [size =\"49685504\"]\n  4 -> 20 [size =\"49685504\"]\n  4 -> 22 [size =\"49685504\"]\n  4 -> 23 [size =\"49685504\"]\n  5 [size=\"24176640\", alpha=\"0.12\", expect_size=\"7252992\"] \n  5 -> 13 [size =\"7252992\"]\n  5 -> 14 [size =\"7252992\"]\n  5 -> 16 [size =\"7252992\"]\n  5 -> 19 [size =\"7252992\"]\n  5 -> 23 [size =\"7252992\"]\n  6 [size=\"44557653\", alpha=\"0.04\", expect_size=\"13367296\"] \n  6 -> 13 [size =\"13367296\"]\n  6 -> 14 [size =\"13367296\"]\n  6 -> 16 [size =\"13367296\"]\n  6 -> 18 [size =\"13367296\"]\n  6 -> 19 [size =\"13367296\"]\n  6 -> 23 [size =\"13367296\"]\n  7 [size=\"97921707\", alpha=\"0.14\", expect_size=\"29376512\"] \n  7 -> 13 [size =\"29376512\"]\n  7 -> 14 [size =\"29376512\"]\n  7 -> 17 [size =\"29376512\"]\n  7 -> 20 [size =\"29376512\"]\n  7 -> 23 [size =\"29376512\"]\n  7 -> 24 [size =\"29376512\"]\n  8 [size=\"140615680\", alpha=\"0.03\", expect_size=\"42184704\"] \n  8 -> 13 [size =\"42184704\"]\n  8 -> 17 [size =\"42184704\"]\n  8 -> 18 [size =\"42184704\"]\n  8 -> 22 [size =\"42184704\"]\n  8 -> 24 [size =\"42184704\"]\n  9 [size=\"74379947\", alpha=\"0.02\", expect_size=\"22313984\"] \n  9 -> 14 [size =\"22313984\"]\n  9 -> 15 [size =\"22313984\"]\n  9 -> 17 [size =\"22313984\"]\n  9 -> 18 [size =\"22313984\"]\n  9 -> 20 [size =\"22313984\"]\n  9 -> 21 [size =\"22313984\"]\n  9 -> 22 [size =\"22313984\"]\n  9 -> 24 [size =\"22313984\"]\n  10 [size=\"133075627\", alpha=\"0.14\", expect_size=\"39922688\"] \n  10 -> 14 [size =\"39922688\"]\n  10 -> 15 [size =\"39922688\"]\n  10 -> 18 [size =\"39922688\"]\n  10 -> 20 [size =\"39922688\"]\n  10 -> 24 [size =\"39922688\"]\n  11 [size=\"31341227\", alpha=\"0.14\", expect_size=\"9402368\"] \n  11 -> 14 [size =\"9402368\"]\n  11 -> 15 [size =\"9402368\"]\n  11 -> 17 [size =\"9402368\"]\n  11 -> 18 [size =\"9402368\"]\n  11 -> 23 [size =\"9402368\"]\n  11 -> 24 [size =\"9402368\"]\n  12 [size=\"104362667\", alpha=\"0.17\", expect_size=\"31308800\"] \n  12 -> 16 [size =\"31308800\"]\n  12 -> 17 [size =\"31308800\"]\n  12 -> 20 [size =\"31308800\"]\n  12 -> 24 [size =\"31308800\"]\n  13 [size=\"143039147\", alpha=\"0.02\", expect_size=\"42911744\"] \n  13 -> 25 [size =\"42911744\"]\n  13 -> 27 [size =\"42911744\"]\n  14 [size=\"40854187\", alpha=\"0.10\", expect_size=\"12256256\"] \n  14 -> 25 [size =\"12256256\"]\n  14 -> 29 [size =\"12256256\"]\n  14 -> 34 [size =\"12256256\"]\n  15 [size=\"84008960\", alpha=\"0.04\", expect_size=\"25202688\"] \n  15 -> 29 [size =\"25202688\"]\n  15 -> 37 [size =\"25202688\"]\n  16 [size=\"17824427\", alpha=\"0.07\", expect_size=\"5347328\"] \n  16 -> 32 [size =\"5347328\"]\n  16 -> 33 [size =\"5347328\"]\n  17 [size=\"51292160\", alpha=\"0.07\", expect_size=\"15387648\"] \n  17 -> 25 [size =\"15387648\"]\n  17 -> 30 [size =\"15387648\"]\n  17 -> 34 [size =\"15387648\"]\n  17 -> 36 [size =\"15387648\"]\n  18 [size=\"162372267\", alpha=\"0.02\", expect_size=\"48711680\"] \n  18 -> 25 [size =\"48711680\"]\n  18 -> 26 [size =\"48711680\"]\n  18 -> 27 [size =\"48711680\"]\n  18 -> 28 [size =\"48711680\"]\n  18 -> 33 [size =\"48711680\"]\n  18 -> 36 [size =\"48711680\"]\n  19 [size=\"27081387\", alpha=\"0.18\", expect_size=\"8124416\"] \n  19 -> 25 [size =\"8124416\"]\n  19 -> 26 [size =\"8124416\"]\n  19 -> 34 [size =\"8124416\"]\n  19 -> 35 [size =\"8124416\"]\n  19 -> 37 [size =\"8124416\"]\n  19 -> 39 [size =\"8124416\"]\n  20 [size=\"40755200\", alpha=\"0.01\", expect_size=\"12226560\"] \n  20 -> 29 [size =\"12226560\"]\n  20 -> 30 [size =\"12226560\"]\n  20 -> 31 [size =\"12226560\"]\n  20 -> 32 [size =\"12226560\"]\n  20 -> 33 [size =\"12226560\"]\n  20 -> 34 [size =\"12226560\"]\n  20 -> 35 [size =\"12226560\"]\n  21 [size=\"153958400\", alpha=\"0.00\", expect_size=\"46187520\"] \n  21 -> 26 [size =\"46187520\"]\n  21 -> 30 [size =\"46187520\"]\n  21 -> 32 [size =\"46187520\"]\n  21 -> 32 [size =\"46187520\"]\n  21 -> 34 [size =\"46187520\"]\n  21 -> 39 [size =\"46187520\"]\n  22 [size=\"105379840\", alpha=\"0.14\", expect_size=\"31613952\"] \n  22 -> 25 [size =\"31613952\"]\n  22 -> 26 [size =\"31613952\"]\n  22 -> 30 [size =\"31613952\"]\n  22 -> 32 [size =\"31613952\"]\n  22 -> 34 [size =\"31613952\"]\n  22 -> 35 [size =\"31613952\"]\n  23 [size=\"82251093\", alpha=\"0.06\", expect_size=\"24675328\"] \n  23 -> 26 [size =\"24675328\"]\n  23 -> 29 [size =\"24675328\"]\n  23 -> 30 [size =\"24675328\"]\n  23 -> 36 [size =\"24675328\"]\n  23 -> 38 [size =\"24675328\"]\n  24 [size=\"94798507\", alpha=\"0.17\", expect_size=\"28439552\"] \n  24 -> 27 [size =\"28439552\"]\n  24 -> 30 [size =\"28439552\"]\n  24 -> 30 [size =\"28439552\"]\n  24 -> 33 [size =\"28439552\"]\n  24 -> 34 [size =\"28439552\"]\n  24 -> 37 [size =\"28439552\"]\n  25 [size=\"174192640\", alpha=\"0.09\", expect_size=\"52257792\"] \n  25 -> 43 [size =\"52257792\"]\n  25 -> 44 [size =\"52257792\"]\n  25 -> 45 [size =\"52257792\"]\n  26 [size=\"45277867\", alpha=\"0.04\", expect_size=\"13583360\"] \n  26 -> 41 [size =\"13583360\"]\n  27 [size=\"101744640\", alpha=\"0.10\", expect_size=\"30523392\"] \n  27 -> 40 [size =\"30523392\"]\n  27 -> 42 [size =\"30523392\"]\n  28 [size=\"159160320\", alpha=\"0.11\", expect_size=\"47748096\"] \n  28 -> 44 [size =\"47748096\"]\n  29 [size=\"173045760\", alpha=\"0.19\", expect_size=\"51913728\"] \n  29 -> 40 [size =\"51913728\"]\n  29 -> 44 [size =\"51913728\"]\n  30 [size=\"161201493\", alpha=\"0.02\", expect_size=\"48360448\"] \n  30 -> 43 [size =\"48360448\"]\n  31 [size=\"165942613\", alpha=\"0.07\", expect_size=\"49782784\"] \n  31 -> 42 [size =\"49782784\"]\n  31 -> 45 [size =\"49782784\"]\n  32 [size=\"166000640\", alpha=\"0.03\", expect_size=\"49800192\"] \n  32 -> 42 [size =\"49800192\"]\n  33 [size=\"120251733\", alpha=\"0.14\", expect_size=\"36075520\"] \n  33 -> 42 [size =\"36075520\"]\n  33 -> 44 [size =\"36075520\"]\n  34 [size=\"169407147\", alpha=\"0.09\", expect_size=\"50822144\"] \n  34 -> 40 [size =\"50822144\"]\n  34 -> 42 [size =\"50822144\"]\n  34 -> 44 [size =\"50822144\"]\n  35 [size=\"147036160\", alpha=\"0.12\", expect_size=\"44110848\"] \n  35 -> 40 [size =\"44110848\"]\n  35 -> 42 [size =\"44110848\"]\n  35 -> 44 [size =\"44110848\"]\n  36 [size=\"59839147\", alpha=\"0.16\", expect_size=\"17951744\"] \n  36 -> 40 [size =\"17951744\"]\n  36 -> 42 [size =\"17951744\"]\n  36 -> 44 [size =\"17951744\"]\n  36 -> 45 [size =\"17951744\"]\n  37 [size=\"92183893\", alpha=\"0.03\", expect_size=\"27655168\"] \n  37 -> 40 [size =\"27655168\"]\n  37 -> 42 [size =\"27655168\"]\n  37 -> 44 [size =\"27655168\"]\n  38 [size=\"167232853\", alpha=\"0.09\", expect_size=\"50169856\"] \n  38 -> 40 [size =\"50169856\"]\n  39 [size=\"93552640\", alpha=\"0.17\", expect_size=\"28065792\"] \n  39 -> 41 [size =\"28065792\"]\n  40 [size=\"85340160\", alpha=\"0.07\", expect_size=\"25602048\"] \n  41 [size=\"100908373\", alpha=\"0.14\", expect_size=\"30272512\"] \n  42 [size=\"154125653\", alpha=\"0.13\", expect_size=\"46237696\"] \n  43 [size=\"174588587\", alpha=\"0.20\", expect_size=\"52376576\"] \n  44 [size=\"130580480\", alpha=\"0.17\", expect_size=\"39174144\"] \n  45 [size=\"45479253\", alpha=\"0.13\", expect_size=\"13643776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120678400\", alpha=\"0.11\", expect_size=\"48271360\"] \n  2 [size=\"30694400\", alpha=\"0.08\", expect_size=\"12277760\"] \n  2 -> 9 [size =\"12277760\"]\n  3 [size=\"94400000\", alpha=\"0.04\", expect_size=\"37760000\"] \n  3 -> 7 [size =\"37760000\"]\n  4 [size=\"126407680\", alpha=\"0.16\", expect_size=\"50563072\"] \n  4 -> 7 [size =\"50563072\"]\n  5 [size=\"50293760\", alpha=\"0.15\", expect_size=\"20117504\"] \n  5 -> 7 [size =\"20117504\"]\n  5 -> 8 [size =\"20117504\"]\n  5 -> 9 [size =\"20117504\"]\n  6 [size=\"90772480\", alpha=\"0.13\", expect_size=\"36308992\"] \n  7 [size=\"15769600\", alpha=\"0.09\", expect_size=\"6307840\"] \n  7 -> 12 [size =\"6307840\"]\n  8 [size=\"49574400\", alpha=\"0.11\", expect_size=\"19829760\"] \n  8 -> 10 [size =\"19829760\"]\n  8 -> 11 [size =\"19829760\"]\n  8 -> 13 [size =\"19829760\"]\n  9 [size=\"77429760\", alpha=\"0.15\", expect_size=\"30971904\"] \n  9 -> 10 [size =\"30971904\"]\n  9 -> 11 [size =\"30971904\"]\n  10 [size=\"66890240\", alpha=\"0.02\", expect_size=\"26756096\"] \n  10 -> 14 [size =\"26756096\"]\n  10 -> 19 [size =\"26756096\"]\n  11 [size=\"39746560\", alpha=\"0.10\", expect_size=\"15898624\"] \n  11 -> 15 [size =\"15898624\"]\n  11 -> 18 [size =\"15898624\"]\n  12 [size=\"104276480\", alpha=\"0.11\", expect_size=\"41710592\"] \n  12 -> 21 [size =\"41710592\"]\n  13 [size=\"33948160\", alpha=\"0.09\", expect_size=\"13579264\"] \n  13 -> 14 [size =\"13579264\"]\n  13 -> 16 [size =\"13579264\"]\n  13 -> 17 [size =\"13579264\"]\n  13 -> 20 [size =\"13579264\"]\n  14 [size=\"57397760\", alpha=\"0.19\", expect_size=\"22959104\"] \n  14 -> 22 [size =\"22959104\"]\n  14 -> 24 [size =\"22959104\"]\n  15 [size=\"35786240\", alpha=\"0.17\", expect_size=\"14314496\"] \n  16 [size=\"123100160\", alpha=\"0.01\", expect_size=\"49240064\"] \n  17 [size=\"79795200\", alpha=\"0.12\", expect_size=\"31918080\"] \n  17 -> 23 [size =\"31918080\"]\n  17 -> 25 [size =\"31918080\"]\n  18 [size=\"15147520\", alpha=\"0.15\", expect_size=\"6059008\"] \n  19 [size=\"79383040\", alpha=\"0.17\", expect_size=\"31753216\"] \n  19 -> 23 [size =\"31753216\"]\n  19 -> 24 [size =\"31753216\"]\n  20 [size=\"52733440\", alpha=\"0.13\", expect_size=\"21093376\"] \n  20 -> 24 [size =\"21093376\"]\n  21 [size=\"64399360\", alpha=\"0.07\", expect_size=\"25759744\"] \n  21 -> 22 [size =\"25759744\"]\n  21 -> 24 [size =\"25759744\"]\n  22 [size=\"124303360\", alpha=\"0.04\", expect_size=\"49721344\"] \n  22 -> 28 [size =\"49721344\"]\n  22 -> 30 [size =\"49721344\"]\n  22 -> 32 [size =\"49721344\"]\n  22 -> 33 [size =\"49721344\"]\n  23 [size=\"70960640\", alpha=\"0.15\", expect_size=\"28384256\"] \n  23 -> 27 [size =\"28384256\"]\n  23 -> 29 [size =\"28384256\"]\n  23 -> 31 [size =\"28384256\"]\n  24 [size=\"123712000\", alpha=\"0.05\", expect_size=\"49484800\"] \n  24 -> 26 [size =\"49484800\"]\n  24 -> 30 [size =\"49484800\"]\n  24 -> 31 [size =\"49484800\"]\n  25 [size=\"116106240\", alpha=\"0.02\", expect_size=\"46442496\"] \n  25 -> 26 [size =\"46442496\"]\n  25 -> 28 [size =\"46442496\"]\n  25 -> 32 [size =\"46442496\"]\n  26 [size=\"97674240\", alpha=\"0.11\", expect_size=\"39069696\"] \n  26 -> 35 [size =\"39069696\"]\n  26 -> 37 [size =\"39069696\"]\n  26 -> 38 [size =\"39069696\"]\n  26 -> 39 [size =\"39069696\"]\n  27 [size=\"106508800\", alpha=\"0.01\", expect_size=\"42603520\"] \n  27 -> 36 [size =\"42603520\"]\n  27 -> 40 [size =\"42603520\"]\n  28 [size=\"60456960\", alpha=\"0.18\", expect_size=\"24182784\"] \n  28 -> 36 [size =\"24182784\"]\n  28 -> 37 [size =\"24182784\"]\n  29 [size=\"28853760\", alpha=\"0.05\", expect_size=\"11541504\"] \n  29 -> 35 [size =\"11541504\"]\n  29 -> 36 [size =\"11541504\"]\n  29 -> 37 [size =\"11541504\"]\n  29 -> 38 [size =\"11541504\"]\n  30 [size=\"128596480\", alpha=\"0.01\", expect_size=\"51438592\"] \n  30 -> 35 [size =\"51438592\"]\n  30 -> 37 [size =\"51438592\"]\n  31 [size=\"86415360\", alpha=\"0.02\", expect_size=\"34566144\"] \n  31 -> 34 [size =\"34566144\"]\n  31 -> 35 [size =\"34566144\"]\n  31 -> 39 [size =\"34566144\"]\n  32 [size=\"127843840\", alpha=\"0.18\", expect_size=\"51137536\"] \n  33 [size=\"34544640\", alpha=\"0.18\", expect_size=\"13817856\"] \n  33 -> 38 [size =\"13817856\"]\n  33 -> 40 [size =\"13817856\"]\n  34 [size=\"123737600\", alpha=\"0.05\", expect_size=\"49495040\"] \n  35 [size=\"36866560\", alpha=\"0.16\", expect_size=\"14746624\"] \n  36 [size=\"47050240\", alpha=\"0.06\", expect_size=\"18820096\"] \n  37 [size=\"113991680\", alpha=\"0.07\", expect_size=\"45596672\"] \n  37 -> 42 [size =\"45596672\"]\n  37 -> 44 [size =\"45596672\"]\n  38 [size=\"122385920\", alpha=\"0.09\", expect_size=\"48954368\"] \n  38 -> 41 [size =\"48954368\"]\n  38 -> 42 [size =\"48954368\"]\n  39 [size=\"108705280\", alpha=\"0.01\", expect_size=\"43482112\"] \n  39 -> 41 [size =\"43482112\"]\n  39 -> 42 [size =\"43482112\"]\n  40 [size=\"19307520\", alpha=\"0.01\", expect_size=\"7723008\"] \n  40 -> 43 [size =\"7723008\"]\n  41 [size=\"25940480\", alpha=\"0.09\", expect_size=\"10376192\"] \n  41 -> 45 [size =\"10376192\"]\n  42 [size=\"37283840\", alpha=\"0.16\", expect_size=\"14913536\"] \n  43 [size=\"26539520\", alpha=\"0.13\", expect_size=\"10615808\"] \n  44 [size=\"14551040\", alpha=\"0.08\", expect_size=\"5820416\"] \n  44 -> 45 [size =\"5820416\"]\n  45 [size=\"45614080\", alpha=\"0.01\", expect_size=\"18245632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71888213\", alpha=\"0.09\", expect_size=\"21566464\"] \n  1 -> 4 [size =\"21566464\"]\n  1 -> 5 [size =\"21566464\"]\n  2 [size=\"162519040\", alpha=\"0.20\", expect_size=\"48755712\"] \n  3 [size=\"114247680\", alpha=\"0.11\", expect_size=\"34274304\"] \n  3 -> 5 [size =\"34274304\"]\n  4 [size=\"160634880\", alpha=\"0.01\", expect_size=\"48190464\"] \n  4 -> 6 [size =\"48190464\"]\n  4 -> 7 [size =\"48190464\"]\n  5 [size=\"23207253\", alpha=\"0.10\", expect_size=\"6962176\"] \n  5 -> 7 [size =\"6962176\"]\n  6 [size=\"76632747\", alpha=\"0.02\", expect_size=\"22989824\"] \n  6 -> 9 [size =\"22989824\"]\n  7 [size=\"131713707\", alpha=\"0.00\", expect_size=\"39514112\"] \n  7 -> 8 [size =\"39514112\"]\n  8 [size=\"112575147\", alpha=\"0.09\", expect_size=\"33772544\"] \n  8 -> 11 [size =\"33772544\"]\n  8 -> 12 [size =\"33772544\"]\n  9 [size=\"170424320\", alpha=\"0.11\", expect_size=\"51127296\"] \n  9 -> 10 [size =\"51127296\"]\n  9 -> 11 [size =\"51127296\"]\n  10 [size=\"73454933\", alpha=\"0.07\", expect_size=\"22036480\"] \n  10 -> 13 [size =\"22036480\"]\n  11 [size=\"29917867\", alpha=\"0.03\", expect_size=\"8975360\"] \n  11 -> 14 [size =\"8975360\"]\n  12 [size=\"101765120\", alpha=\"0.19\", expect_size=\"30529536\"] \n  13 [size=\"98167467\", alpha=\"0.03\", expect_size=\"29450240\"] \n  13 -> 15 [size =\"29450240\"]\n  13 -> 16 [size =\"29450240\"]\n  13 -> 17 [size =\"29450240\"]\n  14 [size=\"26832213\", alpha=\"0.18\", expect_size=\"8049664\"] \n  14 -> 17 [size =\"8049664\"]\n  15 [size=\"38331733\", alpha=\"0.08\", expect_size=\"11499520\"] \n  15 -> 18 [size =\"11499520\"]\n  15 -> 19 [size =\"11499520\"]\n  16 [size=\"115592533\", alpha=\"0.01\", expect_size=\"34677760\"] \n  17 [size=\"129484800\", alpha=\"0.12\", expect_size=\"38845440\"] \n  17 -> 20 [size =\"38845440\"]\n  18 [size=\"129918293\", alpha=\"0.15\", expect_size=\"38975488\"] \n  18 -> 22 [size =\"38975488\"]\n  19 [size=\"40321707\", alpha=\"0.07\", expect_size=\"12096512\"] \n  19 -> 21 [size =\"12096512\"]\n  19 -> 23 [size =\"12096512\"]\n  20 [size=\"130577067\", alpha=\"0.11\", expect_size=\"39173120\"] \n  20 -> 21 [size =\"39173120\"]\n  21 [size=\"26238293\", alpha=\"0.02\", expect_size=\"7871488\"] \n  21 -> 25 [size =\"7871488\"]\n  22 [size=\"49698133\", alpha=\"0.12\", expect_size=\"14909440\"] \n  22 -> 24 [size =\"14909440\"]\n  22 -> 26 [size =\"14909440\"]\n  23 [size=\"44018347\", alpha=\"0.14\", expect_size=\"13205504\"] \n  23 -> 25 [size =\"13205504\"]\n  23 -> 26 [size =\"13205504\"]\n  24 [size=\"68386133\", alpha=\"0.14\", expect_size=\"20515840\"] \n  25 [size=\"48940373\", alpha=\"0.14\", expect_size=\"14682112\"] \n  25 -> 27 [size =\"14682112\"]\n  26 [size=\"112281600\", alpha=\"0.02\", expect_size=\"33684480\"] \n  26 -> 27 [size =\"33684480\"]\n  26 -> 28 [size =\"33684480\"]\n  27 [size=\"121797973\", alpha=\"0.05\", expect_size=\"36539392\"] \n  27 -> 29 [size =\"36539392\"]\n  27 -> 30 [size =\"36539392\"]\n  28 [size=\"62655147\", alpha=\"0.20\", expect_size=\"18796544\"] \n  28 -> 30 [size =\"18796544\"]\n  29 [size=\"26279253\", alpha=\"0.14\", expect_size=\"7883776\"] \n  29 -> 31 [size =\"7883776\"]\n  30 [size=\"83691520\", alpha=\"0.16\", expect_size=\"25107456\"] \n  30 -> 31 [size =\"25107456\"]\n  30 -> 32 [size =\"25107456\"]\n  31 [size=\"173209600\", alpha=\"0.19\", expect_size=\"51962880\"] \n  31 -> 33 [size =\"51962880\"]\n  32 [size=\"34672640\", alpha=\"0.12\", expect_size=\"10401792\"] \n  32 -> 33 [size =\"10401792\"]\n  32 -> 34 [size =\"10401792\"]\n  33 [size=\"127699627\", alpha=\"0.16\", expect_size=\"38309888\"] \n  34 [size=\"77202773\", alpha=\"0.01\", expect_size=\"23160832\"] \n  34 -> 35 [size =\"23160832\"]\n  34 -> 36 [size =\"23160832\"]\n  35 [size=\"26347520\", alpha=\"0.09\", expect_size=\"7904256\"] \n  35 -> 37 [size =\"7904256\"]\n  36 [size=\"138147840\", alpha=\"0.09\", expect_size=\"41444352\"] \n  36 -> 38 [size =\"41444352\"]\n  36 -> 39 [size =\"41444352\"]\n  37 [size=\"157197653\", alpha=\"0.04\", expect_size=\"47159296\"] \n  37 -> 42 [size =\"47159296\"]\n  38 [size=\"40444587\", alpha=\"0.13\", expect_size=\"12133376\"] \n  38 -> 40 [size =\"12133376\"]\n  38 -> 41 [size =\"12133376\"]\n  39 [size=\"40280747\", alpha=\"0.05\", expect_size=\"12084224\"] \n  39 -> 42 [size =\"12084224\"]\n  40 [size=\"152360960\", alpha=\"0.11\", expect_size=\"45708288\"] \n  40 -> 44 [size =\"45708288\"]\n  41 [size=\"118097920\", alpha=\"0.18\", expect_size=\"35429376\"] \n  41 -> 43 [size =\"35429376\"]\n  41 -> 44 [size =\"35429376\"]\n  41 -> 45 [size =\"35429376\"]\n  42 [size=\"107216213\", alpha=\"0.09\", expect_size=\"32164864\"] \n  42 -> 43 [size =\"32164864\"]\n  43 [size=\"46725120\", alpha=\"0.04\", expect_size=\"14017536\"] \n  44 [size=\"174602240\", alpha=\"0.05\", expect_size=\"52380672\"] \n  45 [size=\"28344320\", alpha=\"0.10\", expect_size=\"8503296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66365440\", alpha=\"0.15\", expect_size=\"33182720\"] \n  1 -> 2 [size =\"33182720\"]\n  2 [size=\"90732544\", alpha=\"0.08\", expect_size=\"45366272\"] \n  2 -> 3 [size =\"45366272\"]\n  3 [size=\"53819392\", alpha=\"0.02\", expect_size=\"26909696\"] \n  3 -> 4 [size =\"26909696\"]\n  4 [size=\"75294720\", alpha=\"0.16\", expect_size=\"37647360\"] \n  4 -> 5 [size =\"37647360\"]\n  5 [size=\"25769984\", alpha=\"0.14\", expect_size=\"12884992\"] \n  5 -> 6 [size =\"12884992\"]\n  6 [size=\"45692928\", alpha=\"0.03\", expect_size=\"22846464\"] \n  6 -> 7 [size =\"22846464\"]\n  7 [size=\"88780800\", alpha=\"0.07\", expect_size=\"44390400\"] \n  7 -> 8 [size =\"44390400\"]\n  8 [size=\"34342912\", alpha=\"0.04\", expect_size=\"17171456\"] \n  8 -> 9 [size =\"17171456\"]\n  9 [size=\"74850304\", alpha=\"0.06\", expect_size=\"37425152\"] \n  9 -> 10 [size =\"37425152\"]\n  10 [size=\"63305728\", alpha=\"0.03\", expect_size=\"31652864\"] \n  10 -> 11 [size =\"31652864\"]\n  11 [size=\"75284480\", alpha=\"0.00\", expect_size=\"37642240\"] \n  11 -> 12 [size =\"37642240\"]\n  12 [size=\"52234240\", alpha=\"0.03\", expect_size=\"26117120\"] \n  12 -> 13 [size =\"26117120\"]\n  13 [size=\"89550848\", alpha=\"0.16\", expect_size=\"44775424\"] \n  13 -> 14 [size =\"44775424\"]\n  14 [size=\"100888576\", alpha=\"0.11\", expect_size=\"50444288\"] \n  14 -> 15 [size =\"50444288\"]\n  15 [size=\"79687680\", alpha=\"0.13\", expect_size=\"39843840\"] \n  15 -> 16 [size =\"39843840\"]\n  16 [size=\"50327552\", alpha=\"0.10\", expect_size=\"25163776\"] \n  16 -> 17 [size =\"25163776\"]\n  17 [size=\"62212096\", alpha=\"0.02\", expect_size=\"31106048\"] \n  17 -> 18 [size =\"31106048\"]\n  18 [size=\"94025728\", alpha=\"0.04\", expect_size=\"47012864\"] \n  18 -> 19 [size =\"47012864\"]\n  19 [size=\"16545792\", alpha=\"0.17\", expect_size=\"8272896\"] \n  19 -> 20 [size =\"8272896\"]\n  20 [size=\"42543104\", alpha=\"0.14\", expect_size=\"21271552\"] \n  20 -> 21 [size =\"21271552\"]\n  21 [size=\"54896640\", alpha=\"0.03\", expect_size=\"27448320\"] \n  21 -> 22 [size =\"27448320\"]\n  22 [size=\"56748032\", alpha=\"0.09\", expect_size=\"28374016\"] \n  22 -> 23 [size =\"28374016\"]\n  23 [size=\"70748160\", alpha=\"0.05\", expect_size=\"35374080\"] \n  23 -> 24 [size =\"35374080\"]\n  24 [size=\"53497856\", alpha=\"0.14\", expect_size=\"26748928\"] \n  24 -> 25 [size =\"26748928\"]\n  25 [size=\"13121536\", alpha=\"0.06\", expect_size=\"6560768\"] \n  25 -> 26 [size =\"6560768\"]\n  26 [size=\"73750528\", alpha=\"0.06\", expect_size=\"36875264\"] \n  26 -> 27 [size =\"36875264\"]\n  27 [size=\"26396672\", alpha=\"0.02\", expect_size=\"13198336\"] \n  27 -> 28 [size =\"13198336\"]\n  28 [size=\"34682880\", alpha=\"0.03\", expect_size=\"17341440\"] \n  28 -> 29 [size =\"17341440\"]\n  29 [size=\"54202368\", alpha=\"0.18\", expect_size=\"27101184\"] \n  29 -> 30 [size =\"27101184\"]\n  30 [size=\"39946240\", alpha=\"0.04\", expect_size=\"19973120\"] \n  30 -> 31 [size =\"19973120\"]\n  31 [size=\"12650496\", alpha=\"0.04\", expect_size=\"6325248\"] \n  31 -> 32 [size =\"6325248\"]\n  32 [size=\"28196864\", alpha=\"0.13\", expect_size=\"14098432\"] \n  32 -> 33 [size =\"14098432\"]\n  33 [size=\"72460288\", alpha=\"0.19\", expect_size=\"36230144\"] \n  33 -> 34 [size =\"36230144\"]\n  34 [size=\"94404608\", alpha=\"0.03\", expect_size=\"47202304\"] \n  34 -> 35 [size =\"47202304\"]\n  35 [size=\"64464896\", alpha=\"0.03\", expect_size=\"32232448\"] \n  35 -> 36 [size =\"32232448\"]\n  36 [size=\"92301312\", alpha=\"0.11\", expect_size=\"46150656\"] \n  36 -> 37 [size =\"46150656\"]\n  37 [size=\"24379392\", alpha=\"0.09\", expect_size=\"12189696\"] \n  37 -> 38 [size =\"12189696\"]\n  38 [size=\"33366016\", alpha=\"0.06\", expect_size=\"16683008\"] \n  38 -> 39 [size =\"16683008\"]\n  39 [size=\"48750592\", alpha=\"0.03\", expect_size=\"24375296\"] \n  39 -> 40 [size =\"24375296\"]\n  40 [size=\"40523776\", alpha=\"0.08\", expect_size=\"20261888\"] \n  40 -> 41 [size =\"20261888\"]\n  41 [size=\"61509632\", alpha=\"0.02\", expect_size=\"30754816\"] \n  41 -> 42 [size =\"30754816\"]\n  42 [size=\"82132992\", alpha=\"0.06\", expect_size=\"41066496\"] \n  42 -> 43 [size =\"41066496\"]\n  43 [size=\"49774592\", alpha=\"0.02\", expect_size=\"24887296\"] \n  43 -> 44 [size =\"24887296\"]\n  44 [size=\"43497472\", alpha=\"0.08\", expect_size=\"21748736\"] \n  44 -> 45 [size =\"21748736\"]\n  45 [size=\"59334656\", alpha=\"0.14\", expect_size=\"29667328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55183360\", alpha=\"0.12\", expect_size=\"16555008\"] \n  1 -> 2 [size =\"16555008\"]\n  2 [size=\"20425387\", alpha=\"0.01\", expect_size=\"6127616\"] \n  2 -> 3 [size =\"6127616\"]\n  3 [size=\"137516373\", alpha=\"0.03\", expect_size=\"41254912\"] \n  3 -> 4 [size =\"41254912\"]\n  4 [size=\"52425387\", alpha=\"0.05\", expect_size=\"15727616\"] \n  4 -> 5 [size =\"15727616\"]\n  5 [size=\"112482987\", alpha=\"0.07\", expect_size=\"33744896\"] \n  5 -> 6 [size =\"33744896\"]\n  6 [size=\"163324587\", alpha=\"0.13\", expect_size=\"48997376\"] \n  6 -> 7 [size =\"48997376\"]\n  7 [size=\"146268160\", alpha=\"0.17\", expect_size=\"43880448\"] \n  7 -> 8 [size =\"43880448\"]\n  8 [size=\"23906987\", alpha=\"0.09\", expect_size=\"7172096\"] \n  8 -> 9 [size =\"7172096\"]\n  9 [size=\"151787520\", alpha=\"0.08\", expect_size=\"45536256\"] \n  9 -> 10 [size =\"45536256\"]\n  10 [size=\"116241067\", alpha=\"0.19\", expect_size=\"34872320\"] \n  10 -> 11 [size =\"34872320\"]\n  11 [size=\"134929067\", alpha=\"0.18\", expect_size=\"40478720\"] \n  11 -> 12 [size =\"40478720\"]\n  12 [size=\"72164693\", alpha=\"0.00\", expect_size=\"21649408\"] \n  12 -> 13 [size =\"21649408\"]\n  13 [size=\"80349867\", alpha=\"0.15\", expect_size=\"24104960\"] \n  13 -> 14 [size =\"24104960\"]\n  14 [size=\"106676907\", alpha=\"0.20\", expect_size=\"32003072\"] \n  14 -> 15 [size =\"32003072\"]\n  15 [size=\"147998720\", alpha=\"0.18\", expect_size=\"44399616\"] \n  15 -> 16 [size =\"44399616\"]\n  16 [size=\"43980800\", alpha=\"0.17\", expect_size=\"13194240\"] \n  16 -> 17 [size =\"13194240\"]\n  17 [size=\"146203307\", alpha=\"0.16\", expect_size=\"43860992\"] \n  17 -> 18 [size =\"43860992\"]\n  18 [size=\"125675520\", alpha=\"0.01\", expect_size=\"37702656\"] \n  18 -> 19 [size =\"37702656\"]\n  19 [size=\"36771840\", alpha=\"0.13\", expect_size=\"11031552\"] \n  19 -> 20 [size =\"11031552\"]\n  20 [size=\"102137173\", alpha=\"0.14\", expect_size=\"30641152\"] \n  20 -> 21 [size =\"30641152\"]\n  21 [size=\"93979307\", alpha=\"0.19\", expect_size=\"28193792\"] \n  21 -> 22 [size =\"28193792\"]\n  22 [size=\"81667413\", alpha=\"0.04\", expect_size=\"24500224\"] \n  22 -> 23 [size =\"24500224\"]\n  23 [size=\"82988373\", alpha=\"0.05\", expect_size=\"24896512\"] \n  23 -> 24 [size =\"24896512\"]\n  24 [size=\"40232960\", alpha=\"0.10\", expect_size=\"12069888\"] \n  24 -> 25 [size =\"12069888\"]\n  25 [size=\"36348587\", alpha=\"0.07\", expect_size=\"10904576\"] \n  25 -> 26 [size =\"10904576\"]\n  26 [size=\"21876053\", alpha=\"0.03\", expect_size=\"6562816\"] \n  26 -> 27 [size =\"6562816\"]\n  27 [size=\"153098240\", alpha=\"0.15\", expect_size=\"45929472\"] \n  27 -> 28 [size =\"45929472\"]\n  28 [size=\"122262187\", alpha=\"0.08\", expect_size=\"36678656\"] \n  28 -> 29 [size =\"36678656\"]\n  29 [size=\"130123093\", alpha=\"0.18\", expect_size=\"39036928\"] \n  29 -> 30 [size =\"39036928\"]\n  30 [size=\"78547627\", alpha=\"0.01\", expect_size=\"23564288\"] \n  30 -> 31 [size =\"23564288\"]\n  31 [size=\"28989440\", alpha=\"0.18\", expect_size=\"8696832\"] \n  31 -> 32 [size =\"8696832\"]\n  32 [size=\"19162453\", alpha=\"0.03\", expect_size=\"5748736\"] \n  32 -> 33 [size =\"5748736\"]\n  33 [size=\"52012373\", alpha=\"0.15\", expect_size=\"15603712\"] \n  33 -> 34 [size =\"15603712\"]\n  34 [size=\"90292907\", alpha=\"0.19\", expect_size=\"27087872\"] \n  34 -> 35 [size =\"27087872\"]\n  35 [size=\"168960000\", alpha=\"0.19\", expect_size=\"50688000\"] \n  35 -> 36 [size =\"50688000\"]\n  36 [size=\"68440747\", alpha=\"0.03\", expect_size=\"20532224\"] \n  36 -> 37 [size =\"20532224\"]\n  37 [size=\"91873280\", alpha=\"0.03\", expect_size=\"27561984\"] \n  37 -> 38 [size =\"27561984\"]\n  38 [size=\"53480107\", alpha=\"0.17\", expect_size=\"16044032\"] \n  38 -> 39 [size =\"16044032\"]\n  39 [size=\"116974933\", alpha=\"0.14\", expect_size=\"35092480\"] \n  39 -> 40 [size =\"35092480\"]\n  40 [size=\"102106453\", alpha=\"0.01\", expect_size=\"30631936\"] \n  40 -> 41 [size =\"30631936\"]\n  41 [size=\"107632640\", alpha=\"0.18\", expect_size=\"32289792\"] \n  41 -> 42 [size =\"32289792\"]\n  42 [size=\"93730133\", alpha=\"0.03\", expect_size=\"28119040\"] \n  42 -> 43 [size =\"28119040\"]\n  43 [size=\"115080533\", alpha=\"0.16\", expect_size=\"34524160\"] \n  43 -> 44 [size =\"34524160\"]\n  44 [size=\"77281280\", alpha=\"0.12\", expect_size=\"23184384\"] \n  44 -> 45 [size =\"23184384\"]\n  45 [size=\"69533013\", alpha=\"0.11\", expect_size=\"20859904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83422720\", alpha=\"0.17\", expect_size=\"33369088\"] \n  1 -> 10 [size =\"33369088\"]\n  1 -> 11 [size =\"33369088\"]\n  1 -> 14 [size =\"33369088\"]\n  2 [size=\"115471360\", alpha=\"0.17\", expect_size=\"46188544\"] \n  2 -> 8 [size =\"46188544\"]\n  2 -> 14 [size =\"46188544\"]\n  3 [size=\"57461760\", alpha=\"0.16\", expect_size=\"22984704\"] \n  3 -> 9 [size =\"22984704\"]\n  4 [size=\"74237440\", alpha=\"0.08\", expect_size=\"29694976\"] \n  4 -> 9 [size =\"29694976\"]\n  4 -> 13 [size =\"29694976\"]\n  5 [size=\"44190720\", alpha=\"0.04\", expect_size=\"17676288\"] \n  5 -> 8 [size =\"17676288\"]\n  5 -> 10 [size =\"17676288\"]\n  6 [size=\"73533440\", alpha=\"0.06\", expect_size=\"29413376\"] \n  6 -> 8 [size =\"29413376\"]\n  6 -> 14 [size =\"29413376\"]\n  7 [size=\"25681920\", alpha=\"0.19\", expect_size=\"10272768\"] \n  7 -> 8 [size =\"10272768\"]\n  7 -> 9 [size =\"10272768\"]\n  7 -> 11 [size =\"10272768\"]\n  7 -> 12 [size =\"10272768\"]\n  7 -> 13 [size =\"10272768\"]\n  7 -> 14 [size =\"10272768\"]\n  8 [size=\"102824960\", alpha=\"0.17\", expect_size=\"41129984\"] \n  9 [size=\"121776640\", alpha=\"0.12\", expect_size=\"48710656\"] \n  9 -> 16 [size =\"48710656\"]\n  9 -> 18 [size =\"48710656\"]\n  10 [size=\"25167360\", alpha=\"0.15\", expect_size=\"10066944\"] \n  10 -> 18 [size =\"10066944\"]\n  11 [size=\"109872640\", alpha=\"0.15\", expect_size=\"43949056\"] \n  11 -> 16 [size =\"43949056\"]\n  12 [size=\"91824640\", alpha=\"0.14\", expect_size=\"36729856\"] \n  12 -> 17 [size =\"36729856\"]\n  13 [size=\"73195520\", alpha=\"0.01\", expect_size=\"29278208\"] \n  14 [size=\"51850240\", alpha=\"0.07\", expect_size=\"20740096\"] \n  14 -> 15 [size =\"20740096\"]\n  14 -> 16 [size =\"20740096\"]\n  15 [size=\"99343360\", alpha=\"0.18\", expect_size=\"39737344\"] \n  15 -> 20 [size =\"39737344\"]\n  15 -> 21 [size =\"39737344\"]\n  15 -> 24 [size =\"39737344\"]\n  16 [size=\"124948480\", alpha=\"0.10\", expect_size=\"49979392\"] \n  16 -> 23 [size =\"49979392\"]\n  17 [size=\"44738560\", alpha=\"0.15\", expect_size=\"17895424\"] \n  17 -> 19 [size =\"17895424\"]\n  18 [size=\"41569280\", alpha=\"0.00\", expect_size=\"16627712\"] \n  18 -> 19 [size =\"16627712\"]\n  18 -> 20 [size =\"16627712\"]\n  18 -> 22 [size =\"16627712\"]\n  18 -> 24 [size =\"16627712\"]\n  19 [size=\"26465280\", alpha=\"0.16\", expect_size=\"10586112\"] \n  19 -> 28 [size =\"10586112\"]\n  19 -> 29 [size =\"10586112\"]\n  20 [size=\"94400000\", alpha=\"0.04\", expect_size=\"37760000\"] \n  20 -> 25 [size =\"37760000\"]\n  20 -> 26 [size =\"37760000\"]\n  21 [size=\"66513920\", alpha=\"0.04\", expect_size=\"26605568\"] \n  21 -> 26 [size =\"26605568\"]\n  21 -> 28 [size =\"26605568\"]\n  22 [size=\"37232640\", alpha=\"0.01\", expect_size=\"14893056\"] \n  22 -> 28 [size =\"14893056\"]\n  23 [size=\"121044480\", alpha=\"0.05\", expect_size=\"48417792\"] \n  23 -> 26 [size =\"48417792\"]\n  23 -> 27 [size =\"48417792\"]\n  24 [size=\"129136640\", alpha=\"0.20\", expect_size=\"51654656\"] \n  24 -> 30 [size =\"51654656\"]\n  25 [size=\"53550080\", alpha=\"0.00\", expect_size=\"21420032\"] \n  25 -> 31 [size =\"21420032\"]\n  26 [size=\"41735680\", alpha=\"0.10\", expect_size=\"16694272\"] \n  26 -> 31 [size =\"16694272\"]\n  26 -> 34 [size =\"16694272\"]\n  27 [size=\"98119680\", alpha=\"0.03\", expect_size=\"39247872\"] \n  27 -> 31 [size =\"39247872\"]\n  27 -> 32 [size =\"39247872\"]\n  28 [size=\"70835200\", alpha=\"0.11\", expect_size=\"28334080\"] \n  28 -> 34 [size =\"28334080\"]\n  29 [size=\"72967680\", alpha=\"0.17\", expect_size=\"29187072\"] \n  29 -> 32 [size =\"29187072\"]\n  29 -> 33 [size =\"29187072\"]\n  30 [size=\"52188160\", alpha=\"0.05\", expect_size=\"20875264\"] \n  30 -> 34 [size =\"20875264\"]\n  31 [size=\"76592640\", alpha=\"0.09\", expect_size=\"30637056\"] \n  31 -> 35 [size =\"30637056\"]\n  31 -> 37 [size =\"30637056\"]\n  31 -> 39 [size =\"30637056\"]\n  32 [size=\"98534400\", alpha=\"0.07\", expect_size=\"39413760\"] \n  32 -> 36 [size =\"39413760\"]\n  33 [size=\"102410240\", alpha=\"0.15\", expect_size=\"40964096\"] \n  33 -> 35 [size =\"40964096\"]\n  33 -> 38 [size =\"40964096\"]\n  33 -> 39 [size =\"40964096\"]\n  33 -> 40 [size =\"40964096\"]\n  34 [size=\"14609920\", alpha=\"0.10\", expect_size=\"5843968\"] \n  34 -> 38 [size =\"5843968\"]\n  34 -> 40 [size =\"5843968\"]\n  35 [size=\"14236160\", alpha=\"0.19\", expect_size=\"5694464\"] \n  35 -> 43 [size =\"5694464\"]\n  35 -> 44 [size =\"5694464\"]\n  36 [size=\"14402560\", alpha=\"0.07\", expect_size=\"5761024\"] \n  36 -> 41 [size =\"5761024\"]\n  36 -> 43 [size =\"5761024\"]\n  37 [size=\"75535360\", alpha=\"0.01\", expect_size=\"30214144\"] \n  37 -> 41 [size =\"30214144\"]\n  38 [size=\"92249600\", alpha=\"0.20\", expect_size=\"36899840\"] \n  38 -> 44 [size =\"36899840\"]\n  39 [size=\"36298240\", alpha=\"0.00\", expect_size=\"14519296\"] \n  39 -> 41 [size =\"14519296\"]\n  39 -> 42 [size =\"14519296\"]\n  39 -> 43 [size =\"14519296\"]\n  40 [size=\"16348160\", alpha=\"0.15\", expect_size=\"6539264\"] \n  40 -> 44 [size =\"6539264\"]\n  41 [size=\"44467200\", alpha=\"0.18\", expect_size=\"17786880\"] \n  41 -> 45 [size =\"17786880\"]\n  42 [size=\"99450880\", alpha=\"0.06\", expect_size=\"39780352\"] \n  43 [size=\"24094720\", alpha=\"0.12\", expect_size=\"9637888\"] \n  43 -> 45 [size =\"9637888\"]\n  44 [size=\"114414080\", alpha=\"0.17\", expect_size=\"45765632\"] \n  45 [size=\"55260160\", alpha=\"0.10\", expect_size=\"22104064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30054400\", alpha=\"0.08\", expect_size=\"12021760\"] \n  1 -> 43 [size =\"12021760\"]\n  2 [size=\"19276800\", alpha=\"0.03\", expect_size=\"7710720\"] \n  2 -> 42 [size =\"7710720\"]\n  2 -> 43 [size =\"7710720\"]\n  3 [size=\"112980480\", alpha=\"0.07\", expect_size=\"45192192\"] \n  3 -> 43 [size =\"45192192\"]\n  3 -> 44 [size =\"45192192\"]\n  4 [size=\"86568960\", alpha=\"0.09\", expect_size=\"34627584\"] \n  5 [size=\"38412800\", alpha=\"0.18\", expect_size=\"15365120\"] \n  5 -> 44 [size =\"15365120\"]\n  6 [size=\"129512960\", alpha=\"0.02\", expect_size=\"51805184\"] \n  6 -> 43 [size =\"51805184\"]\n  6 -> 44 [size =\"51805184\"]\n  7 [size=\"87121920\", alpha=\"0.11\", expect_size=\"34848768\"] \n  7 -> 39 [size =\"34848768\"]\n  7 -> 42 [size =\"34848768\"]\n  7 -> 44 [size =\"34848768\"]\n  8 [size=\"71616000\", alpha=\"0.17\", expect_size=\"28646400\"] \n  8 -> 39 [size =\"28646400\"]\n  8 -> 42 [size =\"28646400\"]\n  8 -> 43 [size =\"28646400\"]\n  8 -> 44 [size =\"28646400\"]\n  9 [size=\"32965120\", alpha=\"0.13\", expect_size=\"13186048\"] \n  9 -> 39 [size =\"13186048\"]\n  9 -> 42 [size =\"13186048\"]\n  9 -> 43 [size =\"13186048\"]\n  9 -> 44 [size =\"13186048\"]\n  10 [size=\"97943040\", alpha=\"0.09\", expect_size=\"39177216\"] \n  10 -> 39 [size =\"39177216\"]\n  10 -> 43 [size =\"39177216\"]\n  10 -> 44 [size =\"39177216\"]\n  10 -> 44 [size =\"39177216\"]\n  11 [size=\"15024640\", alpha=\"0.08\", expect_size=\"6009856\"] \n  11 -> 39 [size =\"6009856\"]\n  11 -> 44 [size =\"6009856\"]\n  11 -> 44 [size =\"6009856\"]\n  12 [size=\"64527360\", alpha=\"0.04\", expect_size=\"25810944\"] \n  12 -> 44 [size =\"25810944\"]\n  12 -> 44 [size =\"25810944\"]\n  13 [size=\"82316800\", alpha=\"0.11\", expect_size=\"32926720\"] \n  13 -> 39 [size =\"32926720\"]\n  13 -> 42 [size =\"32926720\"]\n  13 -> 44 [size =\"32926720\"]\n  13 -> 45 [size =\"32926720\"]\n  14 [size=\"121845760\", alpha=\"0.14\", expect_size=\"48738304\"] \n  14 -> 39 [size =\"48738304\"]\n  15 [size=\"58434560\", alpha=\"0.12\", expect_size=\"23373824\"] \n  15 -> 43 [size =\"23373824\"]\n  16 [size=\"47009280\", alpha=\"0.09\", expect_size=\"18803712\"] \n  16 -> 43 [size =\"18803712\"]\n  17 [size=\"58383360\", alpha=\"0.04\", expect_size=\"23353344\"] \n  17 -> 41 [size =\"23353344\"]\n  17 -> 43 [size =\"23353344\"]\n  17 -> 44 [size =\"23353344\"]\n  18 [size=\"123192320\", alpha=\"0.01\", expect_size=\"49276928\"] \n  18 -> 39 [size =\"49276928\"]\n  18 -> 42 [size =\"49276928\"]\n  18 -> 44 [size =\"49276928\"]\n  19 [size=\"105282560\", alpha=\"0.13\", expect_size=\"42113024\"] \n  19 -> 39 [size =\"42113024\"]\n  20 [size=\"64760320\", alpha=\"0.10\", expect_size=\"25904128\"] \n  20 -> 42 [size =\"25904128\"]\n  20 -> 43 [size =\"25904128\"]\n  20 -> 44 [size =\"25904128\"]\n  21 [size=\"117219840\", alpha=\"0.09\", expect_size=\"46887936\"] \n  21 -> 41 [size =\"46887936\"]\n  21 -> 43 [size =\"46887936\"]\n  22 [size=\"48199680\", alpha=\"0.10\", expect_size=\"19279872\"] \n  22 -> 43 [size =\"19279872\"]\n  22 -> 44 [size =\"19279872\"]\n  23 [size=\"73085440\", alpha=\"0.07\", expect_size=\"29234176\"] \n  23 -> 41 [size =\"29234176\"]\n  23 -> 43 [size =\"29234176\"]\n  24 [size=\"21470720\", alpha=\"0.17\", expect_size=\"8588288\"] \n  24 -> 39 [size =\"8588288\"]\n  25 [size=\"101818880\", alpha=\"0.12\", expect_size=\"40727552\"] \n  25 -> 45 [size =\"40727552\"]\n  26 [size=\"53614080\", alpha=\"0.06\", expect_size=\"21445632\"] \n  27 [size=\"103795200\", alpha=\"0.12\", expect_size=\"41518080\"] \n  27 -> 42 [size =\"41518080\"]\n  27 -> 44 [size =\"41518080\"]\n  28 [size=\"124979200\", alpha=\"0.09\", expect_size=\"49991680\"] \n  28 -> 43 [size =\"49991680\"]\n  29 [size=\"13153280\", alpha=\"0.09\", expect_size=\"5261312\"] \n  29 -> 43 [size =\"5261312\"]\n  30 [size=\"88808960\", alpha=\"0.03\", expect_size=\"35523584\"] \n  30 -> 40 [size =\"35523584\"]\n  30 -> 44 [size =\"35523584\"]\n  31 [size=\"27066880\", alpha=\"0.17\", expect_size=\"10826752\"] \n  31 -> 42 [size =\"10826752\"]\n  31 -> 44 [size =\"10826752\"]\n  32 [size=\"80801280\", alpha=\"0.01\", expect_size=\"32320512\"] \n  32 -> 40 [size =\"32320512\"]\n  32 -> 43 [size =\"32320512\"]\n  32 -> 44 [size =\"32320512\"]\n  33 [size=\"20254720\", alpha=\"0.16\", expect_size=\"8101888\"] \n  33 -> 43 [size =\"8101888\"]\n  33 -> 44 [size =\"8101888\"]\n  34 [size=\"63267840\", alpha=\"0.09\", expect_size=\"25307136\"] \n  34 -> 41 [size =\"25307136\"]\n  34 -> 42 [size =\"25307136\"]\n  34 -> 43 [size =\"25307136\"]\n  35 [size=\"47370240\", alpha=\"0.10\", expect_size=\"18948096\"] \n  36 [size=\"115840000\", alpha=\"0.17\", expect_size=\"46336000\"] \n  36 -> 40 [size =\"46336000\"]\n  37 [size=\"31185920\", alpha=\"0.12\", expect_size=\"12474368\"] \n  37 -> 41 [size =\"12474368\"]\n  37 -> 42 [size =\"12474368\"]\n  38 [size=\"103354880\", alpha=\"0.05\", expect_size=\"41341952\"] \n  38 -> 42 [size =\"41341952\"]\n  39 [size=\"36963840\", alpha=\"0.14\", expect_size=\"14785536\"] \n  40 [size=\"87800320\", alpha=\"0.12\", expect_size=\"35120128\"] \n  41 [size=\"104773120\", alpha=\"0.07\", expect_size=\"41909248\"] \n  42 [size=\"89799680\", alpha=\"0.08\", expect_size=\"35919872\"] \n  43 [size=\"94302720\", alpha=\"0.20\", expect_size=\"37721088\"] \n  44 [size=\"69521920\", alpha=\"0.12\", expect_size=\"27808768\"] \n  45 [size=\"124203520\", alpha=\"0.00\", expect_size=\"49681408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35266560\", alpha=\"0.01\", expect_size=\"17633280\"] \n  1 -> 40 [size =\"17633280\"]\n  1 -> 43 [size =\"17633280\"]\n  1 -> 44 [size =\"17633280\"]\n  2 [size=\"21698560\", alpha=\"0.05\", expect_size=\"10849280\"] \n  2 -> 42 [size =\"10849280\"]\n  2 -> 44 [size =\"10849280\"]\n  3 [size=\"41121792\", alpha=\"0.10\", expect_size=\"20560896\"] \n  3 -> 40 [size =\"20560896\"]\n  3 -> 41 [size =\"20560896\"]\n  3 -> 42 [size =\"20560896\"]\n  3 -> 43 [size =\"20560896\"]\n  3 -> 44 [size =\"20560896\"]\n  3 -> 45 [size =\"20560896\"]\n  4 [size=\"26122240\", alpha=\"0.01\", expect_size=\"13061120\"] \n  4 -> 40 [size =\"13061120\"]\n  4 -> 44 [size =\"13061120\"]\n  4 -> 45 [size =\"13061120\"]\n  5 [size=\"40626176\", alpha=\"0.04\", expect_size=\"20313088\"] \n  5 -> 36 [size =\"20313088\"]\n  5 -> 39 [size =\"20313088\"]\n  5 -> 40 [size =\"20313088\"]\n  5 -> 41 [size =\"20313088\"]\n  5 -> 44 [size =\"20313088\"]\n  5 -> 45 [size =\"20313088\"]\n  6 [size=\"89823232\", alpha=\"0.02\", expect_size=\"44911616\"] \n  6 -> 36 [size =\"44911616\"]\n  6 -> 40 [size =\"44911616\"]\n  6 -> 43 [size =\"44911616\"]\n  6 -> 45 [size =\"44911616\"]\n  7 [size=\"61376512\", alpha=\"0.19\", expect_size=\"30688256\"] \n  7 -> 43 [size =\"30688256\"]\n  7 -> 45 [size =\"30688256\"]\n  8 [size=\"52926464\", alpha=\"0.10\", expect_size=\"26463232\"] \n  8 -> 40 [size =\"26463232\"]\n  8 -> 43 [size =\"26463232\"]\n  9 [size=\"32016384\", alpha=\"0.19\", expect_size=\"16008192\"] \n  9 -> 43 [size =\"16008192\"]\n  9 -> 45 [size =\"16008192\"]\n  10 [size=\"18700288\", alpha=\"0.13\", expect_size=\"9350144\"] \n  10 -> 37 [size =\"9350144\"]\n  10 -> 43 [size =\"9350144\"]\n  10 -> 44 [size =\"9350144\"]\n  10 -> 45 [size =\"9350144\"]\n  11 [size=\"39655424\", alpha=\"0.16\", expect_size=\"19827712\"] \n  11 -> 38 [size =\"19827712\"]\n  11 -> 40 [size =\"19827712\"]\n  11 -> 44 [size =\"19827712\"]\n  11 -> 45 [size =\"19827712\"]\n  12 [size=\"46108672\", alpha=\"0.12\", expect_size=\"23054336\"] \n  12 -> 37 [size =\"23054336\"]\n  12 -> 38 [size =\"23054336\"]\n  12 -> 40 [size =\"23054336\"]\n  12 -> 44 [size =\"23054336\"]\n  12 -> 45 [size =\"23054336\"]\n  13 [size=\"71888896\", alpha=\"0.07\", expect_size=\"35944448\"] \n  13 -> 36 [size =\"35944448\"]\n  13 -> 40 [size =\"35944448\"]\n  13 -> 41 [size =\"35944448\"]\n  13 -> 44 [size =\"35944448\"]\n  14 [size=\"24838144\", alpha=\"0.11\", expect_size=\"12419072\"] \n  14 -> 40 [size =\"12419072\"]\n  14 -> 41 [size =\"12419072\"]\n  14 -> 43 [size =\"12419072\"]\n  15 [size=\"30044160\", alpha=\"0.06\", expect_size=\"15022080\"] \n  15 -> 39 [size =\"15022080\"]\n  15 -> 43 [size =\"15022080\"]\n  15 -> 44 [size =\"15022080\"]\n  16 [size=\"50104320\", alpha=\"0.14\", expect_size=\"25052160\"] \n  16 -> 37 [size =\"25052160\"]\n  16 -> 39 [size =\"25052160\"]\n  16 -> 43 [size =\"25052160\"]\n  16 -> 44 [size =\"25052160\"]\n  16 -> 45 [size =\"25052160\"]\n  17 [size=\"59871232\", alpha=\"0.01\", expect_size=\"29935616\"] \n  17 -> 36 [size =\"29935616\"]\n  17 -> 44 [size =\"29935616\"]\n  17 -> 45 [size =\"29935616\"]\n  18 [size=\"53534720\", alpha=\"0.10\", expect_size=\"26767360\"] \n  18 -> 36 [size =\"26767360\"]\n  18 -> 39 [size =\"26767360\"]\n  18 -> 40 [size =\"26767360\"]\n  18 -> 44 [size =\"26767360\"]\n  18 -> 45 [size =\"26767360\"]\n  19 [size=\"102639616\", alpha=\"0.00\", expect_size=\"51319808\"] \n  19 -> 36 [size =\"51319808\"]\n  19 -> 39 [size =\"51319808\"]\n  19 -> 43 [size =\"51319808\"]\n  19 -> 44 [size =\"51319808\"]\n  19 -> 45 [size =\"51319808\"]\n  20 [size=\"98457600\", alpha=\"0.19\", expect_size=\"49228800\"] \n  20 -> 36 [size =\"49228800\"]\n  20 -> 45 [size =\"49228800\"]\n  21 [size=\"63215616\", alpha=\"0.04\", expect_size=\"31607808\"] \n  21 -> 36 [size =\"31607808\"]\n  21 -> 39 [size =\"31607808\"]\n  21 -> 40 [size =\"31607808\"]\n  21 -> 43 [size =\"31607808\"]\n  21 -> 45 [size =\"31607808\"]\n  22 [size=\"46028800\", alpha=\"0.11\", expect_size=\"23014400\"] \n  22 -> 39 [size =\"23014400\"]\n  22 -> 40 [size =\"23014400\"]\n  22 -> 41 [size =\"23014400\"]\n  22 -> 42 [size =\"23014400\"]\n  22 -> 44 [size =\"23014400\"]\n  23 [size=\"103669760\", alpha=\"0.05\", expect_size=\"51834880\"] \n  23 -> 36 [size =\"51834880\"]\n  23 -> 40 [size =\"51834880\"]\n  23 -> 42 [size =\"51834880\"]\n  23 -> 44 [size =\"51834880\"]\n  24 [size=\"44093440\", alpha=\"0.02\", expect_size=\"22046720\"] \n  24 -> 36 [size =\"22046720\"]\n  24 -> 40 [size =\"22046720\"]\n  24 -> 44 [size =\"22046720\"]\n  25 [size=\"94132224\", alpha=\"0.05\", expect_size=\"47066112\"] \n  25 -> 36 [size =\"47066112\"]\n  25 -> 40 [size =\"47066112\"]\n  25 -> 44 [size =\"47066112\"]\n  26 [size=\"29507584\", alpha=\"0.05\", expect_size=\"14753792\"] \n  26 -> 36 [size =\"14753792\"]\n  26 -> 40 [size =\"14753792\"]\n  26 -> 43 [size =\"14753792\"]\n  26 -> 44 [size =\"14753792\"]\n  27 [size=\"96309248\", alpha=\"0.16\", expect_size=\"48154624\"] \n  27 -> 36 [size =\"48154624\"]\n  27 -> 40 [size =\"48154624\"]\n  27 -> 41 [size =\"48154624\"]\n  27 -> 43 [size =\"48154624\"]\n  28 [size=\"102531072\", alpha=\"0.16\", expect_size=\"51265536\"] \n  28 -> 36 [size =\"51265536\"]\n  28 -> 39 [size =\"51265536\"]\n  28 -> 40 [size =\"51265536\"]\n  28 -> 41 [size =\"51265536\"]\n  28 -> 43 [size =\"51265536\"]\n  29 [size=\"57358336\", alpha=\"0.20\", expect_size=\"28679168\"] \n  29 -> 36 [size =\"28679168\"]\n  29 -> 39 [size =\"28679168\"]\n  29 -> 40 [size =\"28679168\"]\n  30 [size=\"57391104\", alpha=\"0.06\", expect_size=\"28695552\"] \n  31 [size=\"54702080\", alpha=\"0.18\", expect_size=\"27351040\"] \n  31 -> 45 [size =\"27351040\"]\n  32 [size=\"74072064\", alpha=\"0.18\", expect_size=\"37036032\"] \n  32 -> 37 [size =\"37036032\"]\n  32 -> 42 [size =\"37036032\"]\n  32 -> 43 [size =\"37036032\"]\n  33 [size=\"32342016\", alpha=\"0.11\", expect_size=\"16171008\"] \n  33 -> 38 [size =\"16171008\"]\n  33 -> 40 [size =\"16171008\"]\n  33 -> 42 [size =\"16171008\"]\n  33 -> 44 [size =\"16171008\"]\n  33 -> 45 [size =\"16171008\"]\n  34 [size=\"54519808\", alpha=\"0.07\", expect_size=\"27259904\"] \n  34 -> 38 [size =\"27259904\"]\n  34 -> 41 [size =\"27259904\"]\n  35 [size=\"61874176\", alpha=\"0.07\", expect_size=\"30937088\"] \n  35 -> 36 [size =\"30937088\"]\n  35 -> 45 [size =\"30937088\"]\n  36 [size=\"84547584\", alpha=\"0.16\", expect_size=\"42273792\"] \n  37 [size=\"13133824\", alpha=\"0.15\", expect_size=\"6566912\"] \n  38 [size=\"87267328\", alpha=\"0.03\", expect_size=\"43633664\"] \n  39 [size=\"66277376\", alpha=\"0.10\", expect_size=\"33138688\"] \n  40 [size=\"66062336\", alpha=\"0.17\", expect_size=\"33031168\"] \n  41 [size=\"94840832\", alpha=\"0.14\", expect_size=\"47420416\"] \n  42 [size=\"87410688\", alpha=\"0.19\", expect_size=\"43705344\"] \n  43 [size=\"79396864\", alpha=\"0.04\", expect_size=\"39698432\"] \n  44 [size=\"37832704\", alpha=\"0.15\", expect_size=\"18916352\"] \n  45 [size=\"71440384\", alpha=\"0.05\", expect_size=\"35720192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41678848\", alpha=\"0.01\", expect_size=\"20839424\"] \n  1 -> 28 [size =\"20839424\"]\n  1 -> 33 [size =\"20839424\"]\n  1 -> 34 [size =\"20839424\"]\n  1 -> 35 [size =\"20839424\"]\n  1 -> 39 [size =\"20839424\"]\n  1 -> 40 [size =\"20839424\"]\n  1 -> 42 [size =\"20839424\"]\n  2 [size=\"11786240\", alpha=\"0.19\", expect_size=\"5893120\"] \n  2 -> 29 [size =\"5893120\"]\n  2 -> 33 [size =\"5893120\"]\n  2 -> 38 [size =\"5893120\"]\n  2 -> 39 [size =\"5893120\"]\n  2 -> 40 [size =\"5893120\"]\n  2 -> 41 [size =\"5893120\"]\n  3 [size=\"50677760\", alpha=\"0.20\", expect_size=\"25338880\"] \n  3 -> 39 [size =\"25338880\"]\n  3 -> 40 [size =\"25338880\"]\n  4 [size=\"54132736\", alpha=\"0.16\", expect_size=\"27066368\"] \n  4 -> 28 [size =\"27066368\"]\n  4 -> 35 [size =\"27066368\"]\n  4 -> 38 [size =\"27066368\"]\n  5 [size=\"29566976\", alpha=\"0.17\", expect_size=\"14783488\"] \n  5 -> 31 [size =\"14783488\"]\n  5 -> 32 [size =\"14783488\"]\n  5 -> 33 [size =\"14783488\"]\n  5 -> 35 [size =\"14783488\"]\n  5 -> 41 [size =\"14783488\"]\n  6 [size=\"83783680\", alpha=\"0.14\", expect_size=\"41891840\"] \n  6 -> 28 [size =\"41891840\"]\n  6 -> 32 [size =\"41891840\"]\n  6 -> 33 [size =\"41891840\"]\n  6 -> 37 [size =\"41891840\"]\n  7 [size=\"54233088\", alpha=\"0.14\", expect_size=\"27116544\"] \n  7 -> 30 [size =\"27116544\"]\n  7 -> 35 [size =\"27116544\"]\n  7 -> 39 [size =\"27116544\"]\n  8 [size=\"96442368\", alpha=\"0.03\", expect_size=\"48221184\"] \n  8 -> 29 [size =\"48221184\"]\n  8 -> 30 [size =\"48221184\"]\n  8 -> 32 [size =\"48221184\"]\n  8 -> 33 [size =\"48221184\"]\n  8 -> 35 [size =\"48221184\"]\n  8 -> 40 [size =\"48221184\"]\n  9 [size=\"44957696\", alpha=\"0.14\", expect_size=\"22478848\"] \n  9 -> 32 [size =\"22478848\"]\n  9 -> 35 [size =\"22478848\"]\n  9 -> 36 [size =\"22478848\"]\n  9 -> 40 [size =\"22478848\"]\n  10 [size=\"29087744\", alpha=\"0.15\", expect_size=\"14543872\"] \n  10 -> 27 [size =\"14543872\"]\n  10 -> 32 [size =\"14543872\"]\n  10 -> 41 [size =\"14543872\"]\n  11 [size=\"63637504\", alpha=\"0.04\", expect_size=\"31818752\"] \n  11 -> 32 [size =\"31818752\"]\n  11 -> 41 [size =\"31818752\"]\n  12 [size=\"69132288\", alpha=\"0.01\", expect_size=\"34566144\"] \n  12 -> 30 [size =\"34566144\"]\n  12 -> 31 [size =\"34566144\"]\n  12 -> 32 [size =\"34566144\"]\n  12 -> 34 [size =\"34566144\"]\n  12 -> 35 [size =\"34566144\"]\n  12 -> 38 [size =\"34566144\"]\n  12 -> 42 [size =\"34566144\"]\n  13 [size=\"62793728\", alpha=\"0.11\", expect_size=\"31396864\"] \n  13 -> 28 [size =\"31396864\"]\n  13 -> 35 [size =\"31396864\"]\n  13 -> 38 [size =\"31396864\"]\n  13 -> 41 [size =\"31396864\"]\n  13 -> 42 [size =\"31396864\"]\n  14 [size=\"61474816\", alpha=\"0.14\", expect_size=\"30737408\"] \n  14 -> 30 [size =\"30737408\"]\n  14 -> 34 [size =\"30737408\"]\n  14 -> 36 [size =\"30737408\"]\n  14 -> 40 [size =\"30737408\"]\n  14 -> 41 [size =\"30737408\"]\n  14 -> 42 [size =\"30737408\"]\n  15 [size=\"42440704\", alpha=\"0.16\", expect_size=\"21220352\"] \n  15 -> 30 [size =\"21220352\"]\n  15 -> 34 [size =\"21220352\"]\n  15 -> 36 [size =\"21220352\"]\n  15 -> 42 [size =\"21220352\"]\n  16 [size=\"29601792\", alpha=\"0.04\", expect_size=\"14800896\"] \n  16 -> 29 [size =\"14800896\"]\n  16 -> 30 [size =\"14800896\"]\n  16 -> 32 [size =\"14800896\"]\n  16 -> 33 [size =\"14800896\"]\n  16 -> 35 [size =\"14800896\"]\n  16 -> 40 [size =\"14800896\"]\n  16 -> 41 [size =\"14800896\"]\n  16 -> 42 [size =\"14800896\"]\n  17 [size=\"93542400\", alpha=\"0.11\", expect_size=\"46771200\"] \n  17 -> 28 [size =\"46771200\"]\n  17 -> 39 [size =\"46771200\"]\n  17 -> 41 [size =\"46771200\"]\n  18 [size=\"63731712\", alpha=\"0.00\", expect_size=\"31865856\"] \n  18 -> 30 [size =\"31865856\"]\n  18 -> 31 [size =\"31865856\"]\n  18 -> 33 [size =\"31865856\"]\n  18 -> 39 [size =\"31865856\"]\n  18 -> 41 [size =\"31865856\"]\n  18 -> 42 [size =\"31865856\"]\n  19 [size=\"76775424\", alpha=\"0.03\", expect_size=\"38387712\"] \n  19 -> 30 [size =\"38387712\"]\n  19 -> 33 [size =\"38387712\"]\n  19 -> 33 [size =\"38387712\"]\n  19 -> 35 [size =\"38387712\"]\n  19 -> 36 [size =\"38387712\"]\n  19 -> 40 [size =\"38387712\"]\n  19 -> 41 [size =\"38387712\"]\n  20 [size=\"48781312\", alpha=\"0.13\", expect_size=\"24390656\"] \n  20 -> 30 [size =\"24390656\"]\n  20 -> 31 [size =\"24390656\"]\n  20 -> 33 [size =\"24390656\"]\n  20 -> 34 [size =\"24390656\"]\n  20 -> 35 [size =\"24390656\"]\n  20 -> 37 [size =\"24390656\"]\n  20 -> 38 [size =\"24390656\"]\n  20 -> 40 [size =\"24390656\"]\n  20 -> 41 [size =\"24390656\"]\n  20 -> 42 [size =\"24390656\"]\n  21 [size=\"25124864\", alpha=\"0.10\", expect_size=\"12562432\"] \n  21 -> 34 [size =\"12562432\"]\n  22 [size=\"42414080\", alpha=\"0.08\", expect_size=\"21207040\"] \n  22 -> 29 [size =\"21207040\"]\n  22 -> 31 [size =\"21207040\"]\n  22 -> 35 [size =\"21207040\"]\n  22 -> 39 [size =\"21207040\"]\n  23 [size=\"46520320\", alpha=\"0.14\", expect_size=\"23260160\"] \n  23 -> 30 [size =\"23260160\"]\n  23 -> 31 [size =\"23260160\"]\n  23 -> 33 [size =\"23260160\"]\n  23 -> 35 [size =\"23260160\"]\n  23 -> 40 [size =\"23260160\"]\n  24 [size=\"99416064\", alpha=\"0.09\", expect_size=\"49708032\"] \n  24 -> 32 [size =\"49708032\"]\n  24 -> 33 [size =\"49708032\"]\n  24 -> 35 [size =\"49708032\"]\n  24 -> 39 [size =\"49708032\"]\n  24 -> 42 [size =\"49708032\"]\n  25 [size=\"72562688\", alpha=\"0.08\", expect_size=\"36281344\"] \n  25 -> 29 [size =\"36281344\"]\n  25 -> 30 [size =\"36281344\"]\n  25 -> 32 [size =\"36281344\"]\n  25 -> 34 [size =\"36281344\"]\n  25 -> 38 [size =\"36281344\"]\n  25 -> 39 [size =\"36281344\"]\n  25 -> 40 [size =\"36281344\"]\n  26 [size=\"52461568\", alpha=\"0.02\", expect_size=\"26230784\"] \n  26 -> 28 [size =\"26230784\"]\n  26 -> 32 [size =\"26230784\"]\n  26 -> 39 [size =\"26230784\"]\n  26 -> 41 [size =\"26230784\"]\n  26 -> 42 [size =\"26230784\"]\n  27 [size=\"72224768\", alpha=\"0.06\", expect_size=\"36112384\"] \n  27 -> 44 [size =\"36112384\"]\n  27 -> 45 [size =\"36112384\"]\n  28 [size=\"29059072\", alpha=\"0.08\", expect_size=\"14529536\"] \n  28 -> 43 [size =\"14529536\"]\n  29 [size=\"30535680\", alpha=\"0.18\", expect_size=\"15267840\"] \n  29 -> 45 [size =\"15267840\"]\n  30 [size=\"44668928\", alpha=\"0.11\", expect_size=\"22334464\"] \n  30 -> 43 [size =\"22334464\"]\n  30 -> 44 [size =\"22334464\"]\n  30 -> 45 [size =\"22334464\"]\n  31 [size=\"13592576\", alpha=\"0.16\", expect_size=\"6796288\"] \n  31 -> 45 [size =\"6796288\"]\n  32 [size=\"62873600\", alpha=\"0.13\", expect_size=\"31436800\"] \n  32 -> 43 [size =\"31436800\"]\n  33 [size=\"99440640\", alpha=\"0.01\", expect_size=\"49720320\"] \n  33 -> 43 [size =\"49720320\"]\n  33 -> 45 [size =\"49720320\"]\n  34 [size=\"69115904\", alpha=\"0.00\", expect_size=\"34557952\"] \n  34 -> 43 [size =\"34557952\"]\n  34 -> 44 [size =\"34557952\"]\n  34 -> 45 [size =\"34557952\"]\n  35 [size=\"15548416\", alpha=\"0.06\", expect_size=\"7774208\"] \n  35 -> 43 [size =\"7774208\"]\n  35 -> 45 [size =\"7774208\"]\n  36 [size=\"52191232\", alpha=\"0.16\", expect_size=\"26095616\"] \n  36 -> 45 [size =\"26095616\"]\n  37 [size=\"63600640\", alpha=\"0.03\", expect_size=\"31800320\"] \n  37 -> 43 [size =\"31800320\"]\n  38 [size=\"93526016\", alpha=\"0.02\", expect_size=\"46763008\"] \n  39 [size=\"39178240\", alpha=\"0.15\", expect_size=\"19589120\"] \n  40 [size=\"29401088\", alpha=\"0.15\", expect_size=\"14700544\"] \n  40 -> 43 [size =\"14700544\"]\n  41 [size=\"82800640\", alpha=\"0.19\", expect_size=\"41400320\"] \n  42 [size=\"63782912\", alpha=\"0.10\", expect_size=\"31891456\"] \n  42 -> 45 [size =\"31891456\"]\n  43 [size=\"30998528\", alpha=\"0.08\", expect_size=\"15499264\"] \n  44 [size=\"36751360\", alpha=\"0.06\", expect_size=\"18375680\"] \n  45 [size=\"37664768\", alpha=\"0.16\", expect_size=\"18832384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93913600\", alpha=\"0.19\", expect_size=\"37565440\"] \n  1 -> 2 [size =\"37565440\"]\n  2 [size=\"54771200\", alpha=\"0.18\", expect_size=\"21908480\"] \n  2 -> 3 [size =\"21908480\"]\n  3 [size=\"43993600\", alpha=\"0.17\", expect_size=\"17597440\"] \n  3 -> 4 [size =\"17597440\"]\n  4 [size=\"22128640\", alpha=\"0.15\", expect_size=\"8851456\"] \n  4 -> 5 [size =\"8851456\"]\n  5 [size=\"56153600\", alpha=\"0.14\", expect_size=\"22461440\"] \n  5 -> 6 [size =\"22461440\"]\n  6 [size=\"76247040\", alpha=\"0.02\", expect_size=\"30498816\"] \n  6 -> 7 [size =\"30498816\"]\n  7 [size=\"71633920\", alpha=\"0.16\", expect_size=\"28653568\"] \n  7 -> 8 [size =\"28653568\"]\n  8 [size=\"36620800\", alpha=\"0.12\", expect_size=\"14648320\"] \n  8 -> 9 [size =\"14648320\"]\n  9 [size=\"90426880\", alpha=\"0.02\", expect_size=\"36170752\"] \n  9 -> 10 [size =\"36170752\"]\n  10 [size=\"32670720\", alpha=\"0.05\", expect_size=\"13068288\"] \n  10 -> 11 [size =\"13068288\"]\n  11 [size=\"71731200\", alpha=\"0.20\", expect_size=\"28692480\"] \n  11 -> 12 [size =\"28692480\"]\n  12 [size=\"66977280\", alpha=\"0.12\", expect_size=\"26790912\"] \n  12 -> 13 [size =\"26790912\"]\n  13 [size=\"53061120\", alpha=\"0.12\", expect_size=\"21224448\"] \n  13 -> 14 [size =\"21224448\"]\n  14 [size=\"34240000\", alpha=\"0.04\", expect_size=\"13696000\"] \n  14 -> 15 [size =\"13696000\"]\n  15 [size=\"125186560\", alpha=\"0.15\", expect_size=\"50074624\"] \n  15 -> 16 [size =\"50074624\"]\n  16 [size=\"90434560\", alpha=\"0.08\", expect_size=\"36173824\"] \n  16 -> 17 [size =\"36173824\"]\n  17 [size=\"102860800\", alpha=\"0.18\", expect_size=\"41144320\"] \n  17 -> 18 [size =\"41144320\"]\n  18 [size=\"79303680\", alpha=\"0.09\", expect_size=\"31721472\"] \n  18 -> 19 [size =\"31721472\"]\n  19 [size=\"31751680\", alpha=\"0.19\", expect_size=\"12700672\"] \n  19 -> 20 [size =\"12700672\"]\n  20 [size=\"41064960\", alpha=\"0.06\", expect_size=\"16425984\"] \n  20 -> 21 [size =\"16425984\"]\n  21 [size=\"68666880\", alpha=\"0.07\", expect_size=\"27466752\"] \n  21 -> 22 [size =\"27466752\"]\n  22 [size=\"66053120\", alpha=\"0.16\", expect_size=\"26421248\"] \n  22 -> 23 [size =\"26421248\"]\n  23 [size=\"17367040\", alpha=\"0.09\", expect_size=\"6946816\"] \n  23 -> 24 [size =\"6946816\"]\n  24 [size=\"86264320\", alpha=\"0.04\", expect_size=\"34505728\"] \n  24 -> 25 [size =\"34505728\"]\n  25 [size=\"109117440\", alpha=\"0.07\", expect_size=\"43646976\"] \n  25 -> 26 [size =\"43646976\"]\n  26 [size=\"82127360\", alpha=\"0.20\", expect_size=\"32850944\"] \n  26 -> 27 [size =\"32850944\"]\n  27 [size=\"130862080\", alpha=\"0.03\", expect_size=\"52344832\"] \n  27 -> 28 [size =\"52344832\"]\n  28 [size=\"118771200\", alpha=\"0.10\", expect_size=\"47508480\"] \n  28 -> 29 [size =\"47508480\"]\n  29 [size=\"53880320\", alpha=\"0.10\", expect_size=\"21552128\"] \n  29 -> 30 [size =\"21552128\"]\n  30 [size=\"45122560\", alpha=\"0.13\", expect_size=\"18049024\"] \n  30 -> 31 [size =\"18049024\"]\n  31 [size=\"81008640\", alpha=\"0.07\", expect_size=\"32403456\"] \n  31 -> 32 [size =\"32403456\"]\n  32 [size=\"124382720\", alpha=\"0.09\", expect_size=\"49753088\"] \n  32 -> 33 [size =\"49753088\"]\n  33 [size=\"98941440\", alpha=\"0.19\", expect_size=\"39576576\"] \n  33 -> 34 [size =\"39576576\"]\n  34 [size=\"35576320\", alpha=\"0.12\", expect_size=\"14230528\"] \n  34 -> 35 [size =\"14230528\"]\n  35 [size=\"61268480\", alpha=\"0.03\", expect_size=\"24507392\"] \n  35 -> 36 [size =\"24507392\"]\n  36 [size=\"101109760\", alpha=\"0.08\", expect_size=\"40443904\"] \n  36 -> 37 [size =\"40443904\"]\n  37 [size=\"100270080\", alpha=\"0.09\", expect_size=\"40108032\"] \n  37 -> 38 [size =\"40108032\"]\n  38 [size=\"117276160\", alpha=\"0.20\", expect_size=\"46910464\"] \n  38 -> 39 [size =\"46910464\"]\n  39 [size=\"57681920\", alpha=\"0.15\", expect_size=\"23072768\"] \n  39 -> 40 [size =\"23072768\"]\n  40 [size=\"116771840\", alpha=\"0.14\", expect_size=\"46708736\"] \n  40 -> 41 [size =\"46708736\"]\n  41 [size=\"78179840\", alpha=\"0.03\", expect_size=\"31271936\"] \n  41 -> 42 [size =\"31271936\"]\n  42 [size=\"118494720\", alpha=\"0.00\", expect_size=\"47397888\"] \n  42 -> 43 [size =\"47397888\"]\n  43 [size=\"55659520\", alpha=\"0.19\", expect_size=\"22263808\"] \n  43 -> 44 [size =\"22263808\"]\n  44 [size=\"47595520\", alpha=\"0.10\", expect_size=\"19038208\"] \n  44 -> 45 [size =\"19038208\"]\n  45 [size=\"115438080\", alpha=\"0.17\", expect_size=\"46175232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74622293\", alpha=\"0.17\", expect_size=\"22386688\"] \n  1 -> 2 [size =\"22386688\"]\n  2 [size=\"26647893\", alpha=\"0.02\", expect_size=\"7994368\"] \n  2 -> 3 [size =\"7994368\"]\n  3 [size=\"113408000\", alpha=\"0.09\", expect_size=\"34022400\"] \n  3 -> 4 [size =\"34022400\"]\n  4 [size=\"43424427\", alpha=\"0.17\", expect_size=\"13027328\"] \n  4 -> 5 [size =\"13027328\"]\n  5 [size=\"75834027\", alpha=\"0.09\", expect_size=\"22750208\"] \n  5 -> 6 [size =\"22750208\"]\n  6 [size=\"122374827\", alpha=\"0.05\", expect_size=\"36712448\"] \n  6 -> 7 [size =\"36712448\"]\n  7 [size=\"29938347\", alpha=\"0.09\", expect_size=\"8981504\"] \n  7 -> 8 [size =\"8981504\"]\n  8 [size=\"33433600\", alpha=\"0.10\", expect_size=\"10030080\"] \n  8 -> 9 [size =\"10030080\"]\n  9 [size=\"169396907\", alpha=\"0.18\", expect_size=\"50819072\"] \n  9 -> 10 [size =\"50819072\"]\n  10 [size=\"159423147\", alpha=\"0.06\", expect_size=\"47826944\"] \n  10 -> 11 [size =\"47826944\"]\n  11 [size=\"58644480\", alpha=\"0.03\", expect_size=\"17593344\"] \n  11 -> 12 [size =\"17593344\"]\n  12 [size=\"34880853\", alpha=\"0.15\", expect_size=\"10464256\"] \n  12 -> 13 [size =\"10464256\"]\n  13 [size=\"49343147\", alpha=\"0.07\", expect_size=\"14802944\"] \n  13 -> 14 [size =\"14802944\"]\n  14 [size=\"120432640\", alpha=\"0.01\", expect_size=\"36129792\"] \n  14 -> 15 [size =\"36129792\"]\n  15 [size=\"94597120\", alpha=\"0.11\", expect_size=\"28379136\"] \n  15 -> 16 [size =\"28379136\"]\n  16 [size=\"165092693\", alpha=\"0.07\", expect_size=\"49527808\"] \n  16 -> 17 [size =\"49527808\"]\n  17 [size=\"45680640\", alpha=\"0.17\", expect_size=\"13704192\"] \n  17 -> 18 [size =\"13704192\"]\n  18 [size=\"118964907\", alpha=\"0.03\", expect_size=\"35689472\"] \n  18 -> 19 [size =\"35689472\"]\n  19 [size=\"42137600\", alpha=\"0.15\", expect_size=\"12641280\"] \n  19 -> 20 [size =\"12641280\"]\n  20 [size=\"27688960\", alpha=\"0.19\", expect_size=\"8306688\"] \n  20 -> 21 [size =\"8306688\"]\n  21 [size=\"71058773\", alpha=\"0.10\", expect_size=\"21317632\"] \n  21 -> 22 [size =\"21317632\"]\n  22 [size=\"94020267\", alpha=\"0.02\", expect_size=\"28206080\"] \n  22 -> 23 [size =\"28206080\"]\n  23 [size=\"56586240\", alpha=\"0.07\", expect_size=\"16975872\"] \n  23 -> 24 [size =\"16975872\"]\n  24 [size=\"114244267\", alpha=\"0.15\", expect_size=\"34273280\"] \n  24 -> 25 [size =\"34273280\"]\n  25 [size=\"119753387\", alpha=\"0.11\", expect_size=\"35926016\"] \n  25 -> 26 [size =\"35926016\"]\n  26 [size=\"49411413\", alpha=\"0.19\", expect_size=\"14823424\"] \n  26 -> 27 [size =\"14823424\"]\n  27 [size=\"105448107\", alpha=\"0.10\", expect_size=\"31634432\"] \n  27 -> 28 [size =\"31634432\"]\n  28 [size=\"78298453\", alpha=\"0.02\", expect_size=\"23489536\"] \n  28 -> 29 [size =\"23489536\"]\n  29 [size=\"99024213\", alpha=\"0.14\", expect_size=\"29707264\"] \n  29 -> 30 [size =\"29707264\"]\n  30 [size=\"57224533\", alpha=\"0.03\", expect_size=\"17167360\"] \n  30 -> 31 [size =\"17167360\"]\n  31 [size=\"47179093\", alpha=\"0.18\", expect_size=\"14153728\"] \n  31 -> 32 [size =\"14153728\"]\n  32 [size=\"126030507\", alpha=\"0.15\", expect_size=\"37809152\"] \n  32 -> 33 [size =\"37809152\"]\n  33 [size=\"145670827\", alpha=\"0.17\", expect_size=\"43701248\"] \n  33 -> 34 [size =\"43701248\"]\n  34 [size=\"44745387\", alpha=\"0.11\", expect_size=\"13423616\"] \n  34 -> 35 [size =\"13423616\"]\n  35 [size=\"163775147\", alpha=\"0.15\", expect_size=\"49132544\"] \n  35 -> 36 [size =\"49132544\"]\n  36 [size=\"89265493\", alpha=\"0.18\", expect_size=\"26779648\"] \n  36 -> 37 [size =\"26779648\"]\n  37 [size=\"83401387\", alpha=\"0.04\", expect_size=\"25020416\"] \n  37 -> 38 [size =\"25020416\"]\n  38 [size=\"158644907\", alpha=\"0.04\", expect_size=\"47593472\"] \n  38 -> 39 [size =\"47593472\"]\n  39 [size=\"173673813\", alpha=\"0.06\", expect_size=\"52102144\"] \n  39 -> 40 [size =\"52102144\"]\n  40 [size=\"123118933\", alpha=\"0.10\", expect_size=\"36935680\"] \n  40 -> 41 [size =\"36935680\"]\n  41 [size=\"148930560\", alpha=\"0.01\", expect_size=\"44679168\"] \n  41 -> 42 [size =\"44679168\"]\n  42 [size=\"134990507\", alpha=\"0.01\", expect_size=\"40497152\"] \n  42 -> 43 [size =\"40497152\"]\n  43 [size=\"98706773\", alpha=\"0.06\", expect_size=\"29612032\"] \n  43 -> 44 [size =\"29612032\"]\n  44 [size=\"71949653\", alpha=\"0.04\", expect_size=\"21584896\"] \n  44 -> 45 [size =\"21584896\"]\n  45 [size=\"157672107\", alpha=\"0.15\", expect_size=\"47301632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72455680\", alpha=\"0.14\", expect_size=\"28982272\"] \n  1 -> 2 [size =\"28982272\"]\n  2 [size=\"97313280\", alpha=\"0.05\", expect_size=\"38925312\"] \n  2 -> 3 [size =\"38925312\"]\n  3 [size=\"59676160\", alpha=\"0.20\", expect_size=\"23870464\"] \n  3 -> 4 [size =\"23870464\"]\n  4 [size=\"33600000\", alpha=\"0.06\", expect_size=\"13440000\"] \n  4 -> 5 [size =\"13440000\"]\n  5 [size=\"45839360\", alpha=\"0.02\", expect_size=\"18335744\"] \n  5 -> 6 [size =\"18335744\"]\n  6 [size=\"33776640\", alpha=\"0.06\", expect_size=\"13510656\"] \n  6 -> 7 [size =\"13510656\"]\n  7 [size=\"14384640\", alpha=\"0.00\", expect_size=\"5753856\"] \n  7 -> 8 [size =\"5753856\"]\n  8 [size=\"109726720\", alpha=\"0.06\", expect_size=\"43890688\"] \n  8 -> 9 [size =\"43890688\"]\n  9 [size=\"78387200\", alpha=\"0.02\", expect_size=\"31354880\"] \n  9 -> 10 [size =\"31354880\"]\n  10 [size=\"56962560\", alpha=\"0.14\", expect_size=\"22785024\"] \n  10 -> 11 [size =\"22785024\"]\n  11 [size=\"37683200\", alpha=\"0.13\", expect_size=\"15073280\"] \n  11 -> 12 [size =\"15073280\"]\n  12 [size=\"117926400\", alpha=\"0.05\", expect_size=\"47170560\"] \n  12 -> 13 [size =\"47170560\"]\n  13 [size=\"27855360\", alpha=\"0.19\", expect_size=\"11142144\"] \n  13 -> 14 [size =\"11142144\"]\n  14 [size=\"26695680\", alpha=\"0.13\", expect_size=\"10678272\"] \n  14 -> 15 [size =\"10678272\"]\n  15 [size=\"64307200\", alpha=\"0.12\", expect_size=\"25722880\"] \n  15 -> 16 [size =\"25722880\"]\n  16 [size=\"76172800\", alpha=\"0.00\", expect_size=\"30469120\"] \n  16 -> 17 [size =\"30469120\"]\n  17 [size=\"108815360\", alpha=\"0.19\", expect_size=\"43526144\"] \n  17 -> 18 [size =\"43526144\"]\n  18 [size=\"111480320\", alpha=\"0.08\", expect_size=\"44592128\"] \n  18 -> 19 [size =\"44592128\"]\n  19 [size=\"29767680\", alpha=\"0.11\", expect_size=\"11907072\"] \n  19 -> 20 [size =\"11907072\"]\n  20 [size=\"42493440\", alpha=\"0.19\", expect_size=\"16997376\"] \n  20 -> 21 [size =\"16997376\"]\n  21 [size=\"122306560\", alpha=\"0.18\", expect_size=\"48922624\"] \n  21 -> 22 [size =\"48922624\"]\n  22 [size=\"82252800\", alpha=\"0.10\", expect_size=\"32901120\"] \n  22 -> 23 [size =\"32901120\"]\n  23 [size=\"113896960\", alpha=\"0.10\", expect_size=\"45558784\"] \n  23 -> 24 [size =\"45558784\"]\n  24 [size=\"109509120\", alpha=\"0.14\", expect_size=\"43803648\"] \n  24 -> 25 [size =\"43803648\"]\n  25 [size=\"70310400\", alpha=\"0.04\", expect_size=\"28124160\"] \n  25 -> 26 [size =\"28124160\"]\n  26 [size=\"22781440\", alpha=\"0.17\", expect_size=\"9112576\"] \n  26 -> 27 [size =\"9112576\"]\n  27 [size=\"25687040\", alpha=\"0.10\", expect_size=\"10274816\"] \n  27 -> 28 [size =\"10274816\"]\n  28 [size=\"17728000\", alpha=\"0.19\", expect_size=\"7091200\"] \n  28 -> 29 [size =\"7091200\"]\n  29 [size=\"67540480\", alpha=\"0.20\", expect_size=\"27016192\"] \n  29 -> 30 [size =\"27016192\"]\n  30 [size=\"15907840\", alpha=\"0.08\", expect_size=\"6363136\"] \n  30 -> 31 [size =\"6363136\"]\n  31 [size=\"130216960\", alpha=\"0.20\", expect_size=\"52086784\"] \n  31 -> 32 [size =\"52086784\"]\n  32 [size=\"115916800\", alpha=\"0.10\", expect_size=\"46366720\"] \n  32 -> 33 [size =\"46366720\"]\n  33 [size=\"57221120\", alpha=\"0.02\", expect_size=\"22888448\"] \n  33 -> 34 [size =\"22888448\"]\n  34 [size=\"118663680\", alpha=\"0.17\", expect_size=\"47465472\"] \n  34 -> 35 [size =\"47465472\"]\n  35 [size=\"84805120\", alpha=\"0.00\", expect_size=\"33922048\"] \n  35 -> 36 [size =\"33922048\"]\n  36 [size=\"106344960\", alpha=\"0.15\", expect_size=\"42537984\"] \n  36 -> 37 [size =\"42537984\"]\n  37 [size=\"85992960\", alpha=\"0.05\", expect_size=\"34397184\"] \n  37 -> 38 [size =\"34397184\"]\n  38 [size=\"25024000\", alpha=\"0.12\", expect_size=\"10009600\"] \n  38 -> 39 [size =\"10009600\"]\n  39 [size=\"20062720\", alpha=\"0.02\", expect_size=\"8025088\"] \n  39 -> 40 [size =\"8025088\"]\n  40 [size=\"18424320\", alpha=\"0.17\", expect_size=\"7369728\"] \n  40 -> 41 [size =\"7369728\"]\n  41 [size=\"63964160\", alpha=\"0.10\", expect_size=\"25585664\"] \n  41 -> 42 [size =\"25585664\"]\n  42 [size=\"63298560\", alpha=\"0.15\", expect_size=\"25319424\"] \n  42 -> 43 [size =\"25319424\"]\n  43 [size=\"121244160\", alpha=\"0.17\", expect_size=\"48497664\"] \n  43 -> 44 [size =\"48497664\"]\n  44 [size=\"16622080\", alpha=\"0.16\", expect_size=\"6648832\"] \n  44 -> 45 [size =\"6648832\"]\n  45 [size=\"116915200\", alpha=\"0.04\", expect_size=\"46766080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125562880\", alpha=\"0.09\", expect_size=\"37668864\"] \n  1 -> 5 [size =\"37668864\"]\n  1 -> 6 [size =\"37668864\"]\n  2 [size=\"107629227\", alpha=\"0.14\", expect_size=\"32288768\"] \n  2 -> 5 [size =\"32288768\"]\n  2 -> 7 [size =\"32288768\"]\n  3 [size=\"149183147\", alpha=\"0.05\", expect_size=\"44754944\"] \n  3 -> 8 [size =\"44754944\"]\n  4 [size=\"19671040\", alpha=\"0.07\", expect_size=\"5901312\"] \n  4 -> 9 [size =\"5901312\"]\n  5 [size=\"48882347\", alpha=\"0.11\", expect_size=\"14664704\"] \n  5 -> 14 [size =\"14664704\"]\n  6 [size=\"170816853\", alpha=\"0.11\", expect_size=\"51245056\"] \n  6 -> 15 [size =\"51245056\"]\n  7 [size=\"115316053\", alpha=\"0.11\", expect_size=\"34594816\"] \n  7 -> 10 [size =\"34594816\"]\n  8 [size=\"133563733\", alpha=\"0.16\", expect_size=\"40069120\"] \n  8 -> 10 [size =\"40069120\"]\n  8 -> 11 [size =\"40069120\"]\n  8 -> 12 [size =\"40069120\"]\n  8 -> 13 [size =\"40069120\"]\n  8 -> 15 [size =\"40069120\"]\n  9 [size=\"68952747\", alpha=\"0.13\", expect_size=\"20685824\"] \n  9 -> 13 [size =\"20685824\"]\n  10 [size=\"154678613\", alpha=\"0.03\", expect_size=\"46403584\"] \n  10 -> 17 [size =\"46403584\"]\n  10 -> 19 [size =\"46403584\"]\n  11 [size=\"104635733\", alpha=\"0.05\", expect_size=\"31390720\"] \n  11 -> 16 [size =\"31390720\"]\n  12 [size=\"174325760\", alpha=\"0.08\", expect_size=\"52297728\"] \n  13 [size=\"130795520\", alpha=\"0.12\", expect_size=\"39238656\"] \n  14 [size=\"169103360\", alpha=\"0.20\", expect_size=\"50731008\"] \n  14 -> 16 [size =\"50731008\"]\n  14 -> 18 [size =\"50731008\"]\n  14 -> 19 [size =\"50731008\"]\n  15 [size=\"63860053\", alpha=\"0.03\", expect_size=\"19158016\"] \n  15 -> 19 [size =\"19158016\"]\n  16 [size=\"146827947\", alpha=\"0.09\", expect_size=\"44048384\"] \n  16 -> 22 [size =\"44048384\"]\n  16 -> 26 [size =\"44048384\"]\n  17 [size=\"73038507\", alpha=\"0.08\", expect_size=\"21911552\"] \n  17 -> 21 [size =\"21911552\"]\n  17 -> 25 [size =\"21911552\"]\n  17 -> 26 [size =\"21911552\"]\n  18 [size=\"157102080\", alpha=\"0.10\", expect_size=\"47130624\"] \n  18 -> 20 [size =\"47130624\"]\n  18 -> 23 [size =\"47130624\"]\n  18 -> 24 [size =\"47130624\"]\n  18 -> 25 [size =\"47130624\"]\n  19 [size=\"125682347\", alpha=\"0.16\", expect_size=\"37704704\"] \n  19 -> 21 [size =\"37704704\"]\n  19 -> 22 [size =\"37704704\"]\n  19 -> 23 [size =\"37704704\"]\n  20 [size=\"69526187\", alpha=\"0.17\", expect_size=\"20857856\"] \n  20 -> 30 [size =\"20857856\"]\n  20 -> 31 [size =\"20857856\"]\n  21 [size=\"94931627\", alpha=\"0.12\", expect_size=\"28479488\"] \n  21 -> 31 [size =\"28479488\"]\n  21 -> 32 [size =\"28479488\"]\n  22 [size=\"136973653\", alpha=\"0.19\", expect_size=\"41092096\"] \n  22 -> 27 [size =\"41092096\"]\n  22 -> 28 [size =\"41092096\"]\n  22 -> 29 [size =\"41092096\"]\n  22 -> 30 [size =\"41092096\"]\n  23 [size=\"41393493\", alpha=\"0.02\", expect_size=\"12418048\"] \n  23 -> 29 [size =\"12418048\"]\n  23 -> 32 [size =\"12418048\"]\n  24 [size=\"136250027\", alpha=\"0.05\", expect_size=\"40875008\"] \n  24 -> 29 [size =\"40875008\"]\n  24 -> 30 [size =\"40875008\"]\n  25 [size=\"134290773\", alpha=\"0.13\", expect_size=\"40287232\"] \n  25 -> 27 [size =\"40287232\"]\n  25 -> 29 [size =\"40287232\"]\n  25 -> 30 [size =\"40287232\"]\n  26 [size=\"158225067\", alpha=\"0.20\", expect_size=\"47467520\"] \n  26 -> 27 [size =\"47467520\"]\n  27 [size=\"71041707\", alpha=\"0.19\", expect_size=\"21312512\"] \n  28 [size=\"137076053\", alpha=\"0.13\", expect_size=\"41122816\"] \n  28 -> 38 [size =\"41122816\"]\n  29 [size=\"59419307\", alpha=\"0.14\", expect_size=\"17825792\"] \n  29 -> 33 [size =\"17825792\"]\n  30 [size=\"28607147\", alpha=\"0.12\", expect_size=\"8582144\"] \n  30 -> 33 [size =\"8582144\"]\n  30 -> 35 [size =\"8582144\"]\n  30 -> 37 [size =\"8582144\"]\n  31 [size=\"164584107\", alpha=\"0.01\", expect_size=\"49375232\"] \n  31 -> 34 [size =\"49375232\"]\n  31 -> 37 [size =\"49375232\"]\n  31 -> 38 [size =\"49375232\"]\n  32 [size=\"103577600\", alpha=\"0.10\", expect_size=\"31073280\"] \n  32 -> 36 [size =\"31073280\"]\n  32 -> 37 [size =\"31073280\"]\n  33 [size=\"93026987\", alpha=\"0.14\", expect_size=\"27908096\"] \n  33 -> 39 [size =\"27908096\"]\n  33 -> 41 [size =\"27908096\"]\n  33 -> 42 [size =\"27908096\"]\n  34 [size=\"107352747\", alpha=\"0.17\", expect_size=\"32205824\"] \n  35 [size=\"148749653\", alpha=\"0.05\", expect_size=\"44624896\"] \n  35 -> 43 [size =\"44624896\"]\n  36 [size=\"91344213\", alpha=\"0.11\", expect_size=\"27403264\"] \n  36 -> 40 [size =\"27403264\"]\n  36 -> 44 [size =\"27403264\"]\n  37 [size=\"88470187\", alpha=\"0.03\", expect_size=\"26541056\"] \n  37 -> 42 [size =\"26541056\"]\n  37 -> 43 [size =\"26541056\"]\n  37 -> 44 [size =\"26541056\"]\n  38 [size=\"80691200\", alpha=\"0.13\", expect_size=\"24207360\"] \n  38 -> 43 [size =\"24207360\"]\n  38 -> 44 [size =\"24207360\"]\n  39 [size=\"26804907\", alpha=\"0.17\", expect_size=\"8041472\"] \n  39 -> 45 [size =\"8041472\"]\n  40 [size=\"135581013\", alpha=\"0.07\", expect_size=\"40674304\"] \n  41 [size=\"72355840\", alpha=\"0.07\", expect_size=\"21706752\"] \n  42 [size=\"81582080\", alpha=\"0.03\", expect_size=\"24474624\"] \n  43 [size=\"162822827\", alpha=\"0.01\", expect_size=\"48846848\"] \n  44 [size=\"114824533\", alpha=\"0.15\", expect_size=\"34447360\"] \n  44 -> 45 [size =\"34447360\"]\n  45 [size=\"89214293\", alpha=\"0.03\", expect_size=\"26764288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129744213\", alpha=\"0.20\", expect_size=\"38923264\"] \n  1 -> 25 [size =\"38923264\"]\n  1 -> 28 [size =\"38923264\"]\n  1 -> 31 [size =\"38923264\"]\n  1 -> 32 [size =\"38923264\"]\n  2 [size=\"113762987\", alpha=\"0.07\", expect_size=\"34128896\"] \n  2 -> 22 [size =\"34128896\"]\n  2 -> 25 [size =\"34128896\"]\n  2 -> 29 [size =\"34128896\"]\n  2 -> 31 [size =\"34128896\"]\n  3 [size=\"37754880\", alpha=\"0.18\", expect_size=\"11326464\"] \n  3 -> 22 [size =\"11326464\"]\n  3 -> 23 [size =\"11326464\"]\n  3 -> 26 [size =\"11326464\"]\n  3 -> 30 [size =\"11326464\"]\n  3 -> 31 [size =\"11326464\"]\n  3 -> 33 [size =\"11326464\"]\n  4 [size=\"54210560\", alpha=\"0.05\", expect_size=\"16263168\"] \n  4 -> 23 [size =\"16263168\"]\n  4 -> 24 [size =\"16263168\"]\n  4 -> 25 [size =\"16263168\"]\n  4 -> 26 [size =\"16263168\"]\n  4 -> 27 [size =\"16263168\"]\n  4 -> 28 [size =\"16263168\"]\n  4 -> 30 [size =\"16263168\"]\n  4 -> 31 [size =\"16263168\"]\n  4 -> 32 [size =\"16263168\"]\n  5 [size=\"108687360\", alpha=\"0.18\", expect_size=\"32606208\"] \n  5 -> 21 [size =\"32606208\"]\n  5 -> 23 [size =\"32606208\"]\n  5 -> 28 [size =\"32606208\"]\n  5 -> 29 [size =\"32606208\"]\n  5 -> 31 [size =\"32606208\"]\n  5 -> 32 [size =\"32606208\"]\n  6 [size=\"51322880\", alpha=\"0.16\", expect_size=\"15396864\"] \n  6 -> 21 [size =\"15396864\"]\n  6 -> 22 [size =\"15396864\"]\n  6 -> 24 [size =\"15396864\"]\n  6 -> 25 [size =\"15396864\"]\n  6 -> 27 [size =\"15396864\"]\n  6 -> 28 [size =\"15396864\"]\n  6 -> 31 [size =\"15396864\"]\n  6 -> 32 [size =\"15396864\"]\n  7 [size=\"108496213\", alpha=\"0.09\", expect_size=\"32548864\"] \n  7 -> 22 [size =\"32548864\"]\n  7 -> 23 [size =\"32548864\"]\n  7 -> 24 [size =\"32548864\"]\n  7 -> 25 [size =\"32548864\"]\n  7 -> 27 [size =\"32548864\"]\n  7 -> 30 [size =\"32548864\"]\n  7 -> 31 [size =\"32548864\"]\n  7 -> 32 [size =\"32548864\"]\n  7 -> 33 [size =\"32548864\"]\n  8 [size=\"137359360\", alpha=\"0.01\", expect_size=\"41207808\"] \n  8 -> 19 [size =\"41207808\"]\n  8 -> 23 [size =\"41207808\"]\n  8 -> 24 [size =\"41207808\"]\n  8 -> 25 [size =\"41207808\"]\n  8 -> 27 [size =\"41207808\"]\n  8 -> 29 [size =\"41207808\"]\n  8 -> 30 [size =\"41207808\"]\n  8 -> 32 [size =\"41207808\"]\n  8 -> 33 [size =\"41207808\"]\n  9 [size=\"123043840\", alpha=\"0.20\", expect_size=\"36913152\"] \n  9 -> 19 [size =\"36913152\"]\n  9 -> 24 [size =\"36913152\"]\n  9 -> 24 [size =\"36913152\"]\n  9 -> 25 [size =\"36913152\"]\n  9 -> 26 [size =\"36913152\"]\n  9 -> 30 [size =\"36913152\"]\n  10 [size=\"96518827\", alpha=\"0.04\", expect_size=\"28955648\"] \n  10 -> 19 [size =\"28955648\"]\n  10 -> 22 [size =\"28955648\"]\n  10 -> 25 [size =\"28955648\"]\n  10 -> 25 [size =\"28955648\"]\n  10 -> 27 [size =\"28955648\"]\n  10 -> 29 [size =\"28955648\"]\n  10 -> 30 [size =\"28955648\"]\n  10 -> 31 [size =\"28955648\"]\n  10 -> 33 [size =\"28955648\"]\n  11 [size=\"152255147\", alpha=\"0.13\", expect_size=\"45676544\"] \n  11 -> 20 [size =\"45676544\"]\n  11 -> 22 [size =\"45676544\"]\n  11 -> 23 [size =\"45676544\"]\n  11 -> 24 [size =\"45676544\"]\n  11 -> 26 [size =\"45676544\"]\n  11 -> 27 [size =\"45676544\"]\n  12 [size=\"150360747\", alpha=\"0.19\", expect_size=\"45108224\"] \n  12 -> 20 [size =\"45108224\"]\n  12 -> 24 [size =\"45108224\"]\n  12 -> 25 [size =\"45108224\"]\n  12 -> 26 [size =\"45108224\"]\n  12 -> 27 [size =\"45108224\"]\n  12 -> 29 [size =\"45108224\"]\n  12 -> 30 [size =\"45108224\"]\n  12 -> 31 [size =\"45108224\"]\n  13 [size=\"49793707\", alpha=\"0.05\", expect_size=\"14938112\"] \n  13 -> 19 [size =\"14938112\"]\n  13 -> 20 [size =\"14938112\"]\n  13 -> 24 [size =\"14938112\"]\n  13 -> 25 [size =\"14938112\"]\n  13 -> 29 [size =\"14938112\"]\n  13 -> 29 [size =\"14938112\"]\n  13 -> 30 [size =\"14938112\"]\n  13 -> 31 [size =\"14938112\"]\n  14 [size=\"31030613\", alpha=\"0.09\", expect_size=\"9309184\"] \n  14 -> 22 [size =\"9309184\"]\n  14 -> 23 [size =\"9309184\"]\n  14 -> 24 [size =\"9309184\"]\n  14 -> 27 [size =\"9309184\"]\n  14 -> 28 [size =\"9309184\"]\n  14 -> 29 [size =\"9309184\"]\n  14 -> 30 [size =\"9309184\"]\n  15 [size=\"72331947\", alpha=\"0.15\", expect_size=\"21699584\"] \n  15 -> 19 [size =\"21699584\"]\n  15 -> 22 [size =\"21699584\"]\n  15 -> 24 [size =\"21699584\"]\n  15 -> 30 [size =\"21699584\"]\n  16 [size=\"57815040\", alpha=\"0.04\", expect_size=\"17344512\"] \n  16 -> 25 [size =\"17344512\"]\n  16 -> 28 [size =\"17344512\"]\n  16 -> 30 [size =\"17344512\"]\n  16 -> 33 [size =\"17344512\"]\n  17 [size=\"29040640\", alpha=\"0.10\", expect_size=\"8712192\"] \n  17 -> 19 [size =\"8712192\"]\n  17 -> 24 [size =\"8712192\"]\n  17 -> 25 [size =\"8712192\"]\n  17 -> 28 [size =\"8712192\"]\n  17 -> 29 [size =\"8712192\"]\n  17 -> 32 [size =\"8712192\"]\n  17 -> 33 [size =\"8712192\"]\n  18 [size=\"99020800\", alpha=\"0.19\", expect_size=\"29706240\"] \n  18 -> 27 [size =\"29706240\"]\n  18 -> 28 [size =\"29706240\"]\n  18 -> 29 [size =\"29706240\"]\n  19 [size=\"103133867\", alpha=\"0.03\", expect_size=\"30940160\"] \n  19 -> 35 [size =\"30940160\"]\n  19 -> 42 [size =\"30940160\"]\n  20 [size=\"100915200\", alpha=\"0.18\", expect_size=\"30274560\"] \n  20 -> 39 [size =\"30274560\"]\n  21 [size=\"129781760\", alpha=\"0.08\", expect_size=\"38934528\"] \n  21 -> 35 [size =\"38934528\"]\n  21 -> 36 [size =\"38934528\"]\n  21 -> 37 [size =\"38934528\"]\n  21 -> 39 [size =\"38934528\"]\n  21 -> 42 [size =\"38934528\"]\n  22 [size=\"78496427\", alpha=\"0.10\", expect_size=\"23548928\"] \n  22 -> 34 [size =\"23548928\"]\n  22 -> 35 [size =\"23548928\"]\n  22 -> 37 [size =\"23548928\"]\n  22 -> 39 [size =\"23548928\"]\n  22 -> 41 [size =\"23548928\"]\n  22 -> 42 [size =\"23548928\"]\n  23 [size=\"73977173\", alpha=\"0.14\", expect_size=\"22193152\"] \n  23 -> 42 [size =\"22193152\"]\n  24 [size=\"112271360\", alpha=\"0.04\", expect_size=\"33681408\"] \n  24 -> 34 [size =\"33681408\"]\n  24 -> 36 [size =\"33681408\"]\n  24 -> 40 [size =\"33681408\"]\n  25 [size=\"26746880\", alpha=\"0.04\", expect_size=\"8024064\"] \n  25 -> 34 [size =\"8024064\"]\n  25 -> 35 [size =\"8024064\"]\n  25 -> 37 [size =\"8024064\"]\n  25 -> 41 [size =\"8024064\"]\n  25 -> 42 [size =\"8024064\"]\n  26 [size=\"142486187\", alpha=\"0.09\", expect_size=\"42745856\"] \n  26 -> 34 [size =\"42745856\"]\n  27 [size=\"19858773\", alpha=\"0.06\", expect_size=\"5957632\"] \n  27 -> 34 [size =\"5957632\"]\n  27 -> 35 [size =\"5957632\"]\n  27 -> 37 [size =\"5957632\"]\n  27 -> 39 [size =\"5957632\"]\n  27 -> 42 [size =\"5957632\"]\n  28 [size=\"98594133\", alpha=\"0.18\", expect_size=\"29578240\"] \n  28 -> 34 [size =\"29578240\"]\n  28 -> 35 [size =\"29578240\"]\n  28 -> 37 [size =\"29578240\"]\n  28 -> 39 [size =\"29578240\"]\n  29 [size=\"92832427\", alpha=\"0.03\", expect_size=\"27849728\"] \n  29 -> 34 [size =\"27849728\"]\n  29 -> 37 [size =\"27849728\"]\n  29 -> 39 [size =\"27849728\"]\n  29 -> 42 [size =\"27849728\"]\n  30 [size=\"114865493\", alpha=\"0.19\", expect_size=\"34459648\"] \n  30 -> 42 [size =\"34459648\"]\n  31 [size=\"100922027\", alpha=\"0.11\", expect_size=\"30276608\"] \n  31 -> 34 [size =\"30276608\"]\n  31 -> 35 [size =\"30276608\"]\n  31 -> 38 [size =\"30276608\"]\n  31 -> 42 [size =\"30276608\"]\n  32 [size=\"163266560\", alpha=\"0.01\", expect_size=\"48979968\"] \n  32 -> 39 [size =\"48979968\"]\n  33 [size=\"83623253\", alpha=\"0.14\", expect_size=\"25086976\"] \n  33 -> 34 [size =\"25086976\"]\n  33 -> 35 [size =\"25086976\"]\n  33 -> 41 [size =\"25086976\"]\n  33 -> 42 [size =\"25086976\"]\n  34 [size=\"39553707\", alpha=\"0.10\", expect_size=\"11866112\"] \n  34 -> 43 [size =\"11866112\"]\n  35 [size=\"67795627\", alpha=\"0.12\", expect_size=\"20338688\"] \n  35 -> 43 [size =\"20338688\"]\n  36 [size=\"102270293\", alpha=\"0.19\", expect_size=\"30681088\"] \n  36 -> 44 [size =\"30681088\"]\n  36 -> 45 [size =\"30681088\"]\n  37 [size=\"19544747\", alpha=\"0.08\", expect_size=\"5863424\"] \n  37 -> 43 [size =\"5863424\"]\n  37 -> 44 [size =\"5863424\"]\n  38 [size=\"67925333\", alpha=\"0.07\", expect_size=\"20377600\"] \n  38 -> 44 [size =\"20377600\"]\n  38 -> 44 [size =\"20377600\"]\n  38 -> 45 [size =\"20377600\"]\n  39 [size=\"52722347\", alpha=\"0.17\", expect_size=\"15816704\"] \n  39 -> 44 [size =\"15816704\"]\n  40 [size=\"79506773\", alpha=\"0.18\", expect_size=\"23852032\"] \n  41 [size=\"70031360\", alpha=\"0.13\", expect_size=\"21009408\"] \n  41 -> 43 [size =\"21009408\"]\n  42 [size=\"159081813\", alpha=\"0.16\", expect_size=\"47724544\"] \n  42 -> 43 [size =\"47724544\"]\n  43 [size=\"164969813\", alpha=\"0.06\", expect_size=\"49490944\"] \n  44 [size=\"120012800\", alpha=\"0.08\", expect_size=\"36003840\"] \n  45 [size=\"37768533\", alpha=\"0.11\", expect_size=\"11330560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16836608\", alpha=\"0.07\", expect_size=\"8418304\"] \n  1 -> 2 [size =\"8418304\"]\n  2 [size=\"91570176\", alpha=\"0.17\", expect_size=\"45785088\"] \n  2 -> 3 [size =\"45785088\"]\n  3 [size=\"101939200\", alpha=\"0.16\", expect_size=\"50969600\"] \n  3 -> 4 [size =\"50969600\"]\n  4 [size=\"101877760\", alpha=\"0.10\", expect_size=\"50938880\"] \n  4 -> 5 [size =\"50938880\"]\n  5 [size=\"88160256\", alpha=\"0.17\", expect_size=\"44080128\"] \n  5 -> 6 [size =\"44080128\"]\n  6 [size=\"19392512\", alpha=\"0.14\", expect_size=\"9696256\"] \n  6 -> 7 [size =\"9696256\"]\n  7 [size=\"84078592\", alpha=\"0.11\", expect_size=\"42039296\"] \n  7 -> 8 [size =\"42039296\"]\n  8 [size=\"14186496\", alpha=\"0.12\", expect_size=\"7093248\"] \n  8 -> 9 [size =\"7093248\"]\n  9 [size=\"56862720\", alpha=\"0.03\", expect_size=\"28431360\"] \n  9 -> 10 [size =\"28431360\"]\n  10 [size=\"18046976\", alpha=\"0.18\", expect_size=\"9023488\"] \n  10 -> 11 [size =\"9023488\"]\n  11 [size=\"56946688\", alpha=\"0.16\", expect_size=\"28473344\"] \n  11 -> 12 [size =\"28473344\"]\n  12 [size=\"88936448\", alpha=\"0.10\", expect_size=\"44468224\"] \n  12 -> 13 [size =\"44468224\"]\n  13 [size=\"75563008\", alpha=\"0.02\", expect_size=\"37781504\"] \n  13 -> 14 [size =\"37781504\"]\n  14 [size=\"58499072\", alpha=\"0.11\", expect_size=\"29249536\"] \n  14 -> 15 [size =\"29249536\"]\n  15 [size=\"12445696\", alpha=\"0.08\", expect_size=\"6222848\"] \n  15 -> 16 [size =\"6222848\"]\n  16 [size=\"91219968\", alpha=\"0.19\", expect_size=\"45609984\"] \n  16 -> 17 [size =\"45609984\"]\n  17 [size=\"62808064\", alpha=\"0.19\", expect_size=\"31404032\"] \n  17 -> 18 [size =\"31404032\"]\n  18 [size=\"20326400\", alpha=\"0.17\", expect_size=\"10163200\"] \n  18 -> 19 [size =\"10163200\"]\n  19 [size=\"77084672\", alpha=\"0.01\", expect_size=\"38542336\"] \n  19 -> 20 [size =\"38542336\"]\n  20 [size=\"93300736\", alpha=\"0.03\", expect_size=\"46650368\"] \n  20 -> 21 [size =\"46650368\"]\n  21 [size=\"85026816\", alpha=\"0.07\", expect_size=\"42513408\"] \n  21 -> 22 [size =\"42513408\"]\n  22 [size=\"67954688\", alpha=\"0.07\", expect_size=\"33977344\"] \n  22 -> 23 [size =\"33977344\"]\n  23 [size=\"20912128\", alpha=\"0.07\", expect_size=\"10456064\"] \n  23 -> 24 [size =\"10456064\"]\n  24 [size=\"29181952\", alpha=\"0.06\", expect_size=\"14590976\"] \n  24 -> 25 [size =\"14590976\"]\n  25 [size=\"81276928\", alpha=\"0.02\", expect_size=\"40638464\"] \n  25 -> 26 [size =\"40638464\"]\n  26 [size=\"24936448\", alpha=\"0.19\", expect_size=\"12468224\"] \n  26 -> 27 [size =\"12468224\"]\n  27 [size=\"18853888\", alpha=\"0.13\", expect_size=\"9426944\"] \n  27 -> 28 [size =\"9426944\"]\n  28 [size=\"13744128\", alpha=\"0.07\", expect_size=\"6872064\"] \n  28 -> 29 [size =\"6872064\"]\n  29 [size=\"94705664\", alpha=\"0.10\", expect_size=\"47352832\"] \n  29 -> 30 [size =\"47352832\"]\n  30 [size=\"101343232\", alpha=\"0.16\", expect_size=\"50671616\"] \n  30 -> 31 [size =\"50671616\"]\n  31 [size=\"22796288\", alpha=\"0.11\", expect_size=\"11398144\"] \n  31 -> 32 [size =\"11398144\"]\n  32 [size=\"54159360\", alpha=\"0.03\", expect_size=\"27079680\"] \n  32 -> 33 [size =\"27079680\"]\n  33 [size=\"87777280\", alpha=\"0.09\", expect_size=\"43888640\"] \n  33 -> 34 [size =\"43888640\"]\n  34 [size=\"26361856\", alpha=\"0.04\", expect_size=\"13180928\"] \n  34 -> 35 [size =\"13180928\"]\n  35 [size=\"55672832\", alpha=\"0.01\", expect_size=\"27836416\"] \n  35 -> 36 [size =\"27836416\"]\n  36 [size=\"64647168\", alpha=\"0.14\", expect_size=\"32323584\"] \n  36 -> 37 [size =\"32323584\"]\n  37 [size=\"62189568\", alpha=\"0.18\", expect_size=\"31094784\"] \n  37 -> 38 [size =\"31094784\"]\n  38 [size=\"27521024\", alpha=\"0.05\", expect_size=\"13760512\"] \n  38 -> 39 [size =\"13760512\"]\n  39 [size=\"58716160\", alpha=\"0.06\", expect_size=\"29358080\"] \n  39 -> 40 [size =\"29358080\"]\n  40 [size=\"13408256\", alpha=\"0.04\", expect_size=\"6704128\"] \n  40 -> 41 [size =\"6704128\"]\n  41 [size=\"87906304\", alpha=\"0.18\", expect_size=\"43953152\"] \n  41 -> 42 [size =\"43953152\"]\n  42 [size=\"45553664\", alpha=\"0.04\", expect_size=\"22776832\"] \n  42 -> 43 [size =\"22776832\"]\n  43 [size=\"59172864\", alpha=\"0.12\", expect_size=\"29586432\"] \n  43 -> 44 [size =\"29586432\"]\n  44 [size=\"99473408\", alpha=\"0.05\", expect_size=\"49736704\"] \n  44 -> 45 [size =\"49736704\"]\n  45 [size=\"25722880\", alpha=\"0.12\", expect_size=\"12861440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98682880\", alpha=\"0.13\", expect_size=\"29604864\"] \n  1 -> 8 [size =\"29604864\"]\n  1 -> 9 [size =\"29604864\"]\n  1 -> 10 [size =\"29604864\"]\n  1 -> 11 [size =\"29604864\"]\n  1 -> 13 [size =\"29604864\"]\n  1 -> 14 [size =\"29604864\"]\n  2 [size=\"82885973\", alpha=\"0.09\", expect_size=\"24865792\"] \n  2 -> 9 [size =\"24865792\"]\n  2 -> 10 [size =\"24865792\"]\n  2 -> 11 [size =\"24865792\"]\n  2 -> 12 [size =\"24865792\"]\n  2 -> 13 [size =\"24865792\"]\n  2 -> 14 [size =\"24865792\"]\n  3 [size=\"44861440\", alpha=\"0.16\", expect_size=\"13458432\"] \n  3 -> 8 [size =\"13458432\"]\n  3 -> 11 [size =\"13458432\"]\n  3 -> 11 [size =\"13458432\"]\n  3 -> 12 [size =\"13458432\"]\n  4 [size=\"148043093\", alpha=\"0.17\", expect_size=\"44412928\"] \n  4 -> 8 [size =\"44412928\"]\n  4 -> 9 [size =\"44412928\"]\n  4 -> 11 [size =\"44412928\"]\n  4 -> 12 [size =\"44412928\"]\n  4 -> 13 [size =\"44412928\"]\n  4 -> 14 [size =\"44412928\"]\n  5 [size=\"137905493\", alpha=\"0.18\", expect_size=\"41371648\"] \n  5 -> 8 [size =\"41371648\"]\n  5 -> 9 [size =\"41371648\"]\n  5 -> 11 [size =\"41371648\"]\n  5 -> 14 [size =\"41371648\"]\n  6 [size=\"57480533\", alpha=\"0.13\", expect_size=\"17244160\"] \n  6 -> 8 [size =\"17244160\"]\n  6 -> 9 [size =\"17244160\"]\n  6 -> 13 [size =\"17244160\"]\n  6 -> 14 [size =\"17244160\"]\n  7 [size=\"141571413\", alpha=\"0.01\", expect_size=\"42471424\"] \n  7 -> 8 [size =\"42471424\"]\n  7 -> 9 [size =\"42471424\"]\n  7 -> 11 [size =\"42471424\"]\n  7 -> 14 [size =\"42471424\"]\n  8 [size=\"82954240\", alpha=\"0.16\", expect_size=\"24886272\"] \n  8 -> 19 [size =\"24886272\"]\n  9 [size=\"42601813\", alpha=\"0.19\", expect_size=\"12780544\"] \n  9 -> 17 [size =\"12780544\"]\n  9 -> 19 [size =\"12780544\"]\n  10 [size=\"34109440\", alpha=\"0.07\", expect_size=\"10232832\"] \n  10 -> 16 [size =\"10232832\"]\n  10 -> 17 [size =\"10232832\"]\n  10 -> 18 [size =\"10232832\"]\n  10 -> 19 [size =\"10232832\"]\n  11 [size=\"158033920\", alpha=\"0.11\", expect_size=\"47410176\"] \n  11 -> 16 [size =\"47410176\"]\n  11 -> 17 [size =\"47410176\"]\n  11 -> 19 [size =\"47410176\"]\n  12 [size=\"104850773\", alpha=\"0.11\", expect_size=\"31455232\"] \n  12 -> 16 [size =\"31455232\"]\n  12 -> 18 [size =\"31455232\"]\n  13 [size=\"173298347\", alpha=\"0.13\", expect_size=\"51989504\"] \n  13 -> 15 [size =\"51989504\"]\n  13 -> 18 [size =\"51989504\"]\n  13 -> 19 [size =\"51989504\"]\n  14 [size=\"141902507\", alpha=\"0.07\", expect_size=\"42570752\"] \n  14 -> 18 [size =\"42570752\"]\n  14 -> 19 [size =\"42570752\"]\n  14 -> 19 [size =\"42570752\"]\n  15 [size=\"119282347\", alpha=\"0.17\", expect_size=\"35784704\"] \n  15 -> 21 [size =\"35784704\"]\n  15 -> 21 [size =\"35784704\"]\n  16 [size=\"100911787\", alpha=\"0.15\", expect_size=\"30273536\"] \n  16 -> 20 [size =\"30273536\"]\n  16 -> 21 [size =\"30273536\"]\n  16 -> 22 [size =\"30273536\"]\n  17 [size=\"49380693\", alpha=\"0.11\", expect_size=\"14814208\"] \n  17 -> 20 [size =\"14814208\"]\n  17 -> 22 [size =\"14814208\"]\n  18 [size=\"54722560\", alpha=\"0.20\", expect_size=\"16416768\"] \n  18 -> 21 [size =\"16416768\"]\n  18 -> 22 [size =\"16416768\"]\n  19 [size=\"23043413\", alpha=\"0.17\", expect_size=\"6913024\"] \n  19 -> 20 [size =\"6913024\"]\n  19 -> 21 [size =\"6913024\"]\n  19 -> 22 [size =\"6913024\"]\n  20 [size=\"169823573\", alpha=\"0.11\", expect_size=\"50947072\"] \n  20 -> 23 [size =\"50947072\"]\n  20 -> 24 [size =\"50947072\"]\n  20 -> 25 [size =\"50947072\"]\n  20 -> 27 [size =\"50947072\"]\n  20 -> 29 [size =\"50947072\"]\n  21 [size=\"69969920\", alpha=\"0.16\", expect_size=\"20990976\"] \n  21 -> 23 [size =\"20990976\"]\n  21 -> 24 [size =\"20990976\"]\n  21 -> 25 [size =\"20990976\"]\n  21 -> 26 [size =\"20990976\"]\n  21 -> 27 [size =\"20990976\"]\n  21 -> 28 [size =\"20990976\"]\n  21 -> 29 [size =\"20990976\"]\n  21 -> 30 [size =\"20990976\"]\n  22 [size=\"158747307\", alpha=\"0.09\", expect_size=\"47624192\"] \n  22 -> 23 [size =\"47624192\"]\n  22 -> 24 [size =\"47624192\"]\n  22 -> 25 [size =\"47624192\"]\n  22 -> 27 [size =\"47624192\"]\n  22 -> 28 [size =\"47624192\"]\n  22 -> 29 [size =\"47624192\"]\n  22 -> 30 [size =\"47624192\"]\n  23 [size=\"88033280\", alpha=\"0.06\", expect_size=\"26409984\"] \n  23 -> 32 [size =\"26409984\"]\n  23 -> 32 [size =\"26409984\"]\n  23 -> 33 [size =\"26409984\"]\n  23 -> 36 [size =\"26409984\"]\n  23 -> 37 [size =\"26409984\"]\n  24 [size=\"33239040\", alpha=\"0.19\", expect_size=\"9971712\"] \n  24 -> 32 [size =\"9971712\"]\n  24 -> 35 [size =\"9971712\"]\n  24 -> 37 [size =\"9971712\"]\n  24 -> 38 [size =\"9971712\"]\n  25 [size=\"85507413\", alpha=\"0.08\", expect_size=\"25652224\"] \n  25 -> 32 [size =\"25652224\"]\n  25 -> 35 [size =\"25652224\"]\n  25 -> 38 [size =\"25652224\"]\n  25 -> 38 [size =\"25652224\"]\n  26 [size=\"64491520\", alpha=\"0.01\", expect_size=\"19347456\"] \n  26 -> 31 [size =\"19347456\"]\n  26 -> 32 [size =\"19347456\"]\n  26 -> 33 [size =\"19347456\"]\n  26 -> 35 [size =\"19347456\"]\n  26 -> 36 [size =\"19347456\"]\n  26 -> 38 [size =\"19347456\"]\n  27 [size=\"21937493\", alpha=\"0.11\", expect_size=\"6581248\"] \n  27 -> 31 [size =\"6581248\"]\n  27 -> 33 [size =\"6581248\"]\n  27 -> 33 [size =\"6581248\"]\n  27 -> 37 [size =\"6581248\"]\n  28 [size=\"106366293\", alpha=\"0.09\", expect_size=\"31909888\"] \n  28 -> 32 [size =\"31909888\"]\n  28 -> 35 [size =\"31909888\"]\n  28 -> 36 [size =\"31909888\"]\n  28 -> 38 [size =\"31909888\"]\n  29 [size=\"104000853\", alpha=\"0.10\", expect_size=\"31200256\"] \n  29 -> 31 [size =\"31200256\"]\n  29 -> 32 [size =\"31200256\"]\n  29 -> 33 [size =\"31200256\"]\n  29 -> 34 [size =\"31200256\"]\n  29 -> 36 [size =\"31200256\"]\n  30 [size=\"78803627\", alpha=\"0.13\", expect_size=\"23641088\"] \n  30 -> 31 [size =\"23641088\"]\n  30 -> 32 [size =\"23641088\"]\n  30 -> 34 [size =\"23641088\"]\n  30 -> 38 [size =\"23641088\"]\n  31 [size=\"167857493\", alpha=\"0.14\", expect_size=\"50357248\"] \n  31 -> 39 [size =\"50357248\"]\n  31 -> 43 [size =\"50357248\"]\n  32 [size=\"137792853\", alpha=\"0.06\", expect_size=\"41337856\"] \n  32 -> 43 [size =\"41337856\"]\n  32 -> 43 [size =\"41337856\"]\n  33 [size=\"54026240\", alpha=\"0.18\", expect_size=\"16207872\"] \n  33 -> 40 [size =\"16207872\"]\n  33 -> 43 [size =\"16207872\"]\n  34 [size=\"101229227\", alpha=\"0.05\", expect_size=\"30368768\"] \n  34 -> 39 [size =\"30368768\"]\n  34 -> 40 [size =\"30368768\"]\n  34 -> 41 [size =\"30368768\"]\n  34 -> 42 [size =\"30368768\"]\n  35 [size=\"95399253\", alpha=\"0.06\", expect_size=\"28619776\"] \n  35 -> 39 [size =\"28619776\"]\n  35 -> 40 [size =\"28619776\"]\n  35 -> 42 [size =\"28619776\"]\n  36 [size=\"156965547\", alpha=\"0.17\", expect_size=\"47089664\"] \n  36 -> 40 [size =\"47089664\"]\n  36 -> 40 [size =\"47089664\"]\n  37 [size=\"168645973\", alpha=\"0.12\", expect_size=\"50593792\"] \n  37 -> 40 [size =\"50593792\"]\n  37 -> 41 [size =\"50593792\"]\n  38 [size=\"97249280\", alpha=\"0.13\", expect_size=\"29174784\"] \n  38 -> 41 [size =\"29174784\"]\n  38 -> 43 [size =\"29174784\"]\n  39 [size=\"165543253\", alpha=\"0.13\", expect_size=\"49662976\"] \n  39 -> 44 [size =\"49662976\"]\n  40 [size=\"84080640\", alpha=\"0.13\", expect_size=\"25224192\"] \n  41 [size=\"26784427\", alpha=\"0.00\", expect_size=\"8035328\"] \n  41 -> 44 [size =\"8035328\"]\n  42 [size=\"134208853\", alpha=\"0.05\", expect_size=\"40262656\"] \n  42 -> 45 [size =\"40262656\"]\n  43 [size=\"21872640\", alpha=\"0.19\", expect_size=\"6561792\"] \n  43 -> 44 [size =\"6561792\"]\n  43 -> 45 [size =\"6561792\"]\n  44 [size=\"160177493\", alpha=\"0.14\", expect_size=\"48053248\"] \n  45 [size=\"44400640\", alpha=\"0.19\", expect_size=\"13320192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58849280\", alpha=\"0.06\", expect_size=\"29424640\"] \n  1 -> 45 [size =\"29424640\"]\n  2 [size=\"40124416\", alpha=\"0.18\", expect_size=\"20062208\"] \n  3 [size=\"69812224\", alpha=\"0.14\", expect_size=\"34906112\"] \n  4 [size=\"33288192\", alpha=\"0.01\", expect_size=\"16644096\"] \n  5 [size=\"25585664\", alpha=\"0.03\", expect_size=\"12792832\"] \n  6 [size=\"44668928\", alpha=\"0.14\", expect_size=\"22334464\"] \n  7 [size=\"49647616\", alpha=\"0.06\", expect_size=\"24823808\"] \n  8 [size=\"10708992\", alpha=\"0.03\", expect_size=\"5354496\"] \n  9 [size=\"78024704\", alpha=\"0.14\", expect_size=\"39012352\"] \n  10 [size=\"15460352\", alpha=\"0.14\", expect_size=\"7730176\"] \n  11 [size=\"69376000\", alpha=\"0.19\", expect_size=\"34688000\"] \n  12 [size=\"99192832\", alpha=\"0.03\", expect_size=\"49596416\"] \n  13 [size=\"87861248\", alpha=\"0.10\", expect_size=\"43930624\"] \n  14 [size=\"57935872\", alpha=\"0.16\", expect_size=\"28967936\"] \n  15 [size=\"61790208\", alpha=\"0.06\", expect_size=\"30895104\"] \n  15 -> 45 [size =\"30895104\"]\n  16 [size=\"77424640\", alpha=\"0.17\", expect_size=\"38712320\"] \n  17 [size=\"47392768\", alpha=\"0.00\", expect_size=\"23696384\"] \n  17 -> 45 [size =\"23696384\"]\n  18 [size=\"74807296\", alpha=\"0.16\", expect_size=\"37403648\"] \n  19 [size=\"87283712\", alpha=\"0.00\", expect_size=\"43641856\"] \n  20 [size=\"60821504\", alpha=\"0.14\", expect_size=\"30410752\"] \n  21 [size=\"32516096\", alpha=\"0.18\", expect_size=\"16258048\"] \n  22 [size=\"30038016\", alpha=\"0.08\", expect_size=\"15019008\"] \n  23 [size=\"41955328\", alpha=\"0.10\", expect_size=\"20977664\"] \n  24 [size=\"88496128\", alpha=\"0.18\", expect_size=\"44248064\"] \n  25 [size=\"67708928\", alpha=\"0.09\", expect_size=\"33854464\"] \n  26 [size=\"95821824\", alpha=\"0.07\", expect_size=\"47910912\"] \n  27 [size=\"82853888\", alpha=\"0.13\", expect_size=\"41426944\"] \n  28 [size=\"83093504\", alpha=\"0.19\", expect_size=\"41546752\"] \n  29 [size=\"66314240\", alpha=\"0.20\", expect_size=\"33157120\"] \n  30 [size=\"68022272\", alpha=\"0.01\", expect_size=\"34011136\"] \n  31 [size=\"39350272\", alpha=\"0.16\", expect_size=\"19675136\"] \n  32 [size=\"28663808\", alpha=\"0.09\", expect_size=\"14331904\"] \n  33 [size=\"65599488\", alpha=\"0.18\", expect_size=\"32799744\"] \n  34 [size=\"20744192\", alpha=\"0.17\", expect_size=\"10372096\"] \n  35 [size=\"11272192\", alpha=\"0.08\", expect_size=\"5636096\"] \n  36 [size=\"52283392\", alpha=\"0.12\", expect_size=\"26141696\"] \n  37 [size=\"83589120\", alpha=\"0.04\", expect_size=\"41794560\"] \n  38 [size=\"49981440\", alpha=\"0.10\", expect_size=\"24990720\"] \n  39 [size=\"46055424\", alpha=\"0.12\", expect_size=\"23027712\"] \n  40 [size=\"44980224\", alpha=\"0.05\", expect_size=\"22490112\"] \n  41 [size=\"51728384\", alpha=\"0.03\", expect_size=\"25864192\"] \n  42 [size=\"30822400\", alpha=\"0.04\", expect_size=\"15411200\"] \n  43 [size=\"70969344\", alpha=\"0.13\", expect_size=\"35484672\"] \n  44 [size=\"60801024\", alpha=\"0.18\", expect_size=\"30400512\"] \n  45 [size=\"47769600\", alpha=\"0.15\", expect_size=\"23884800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14858240\", alpha=\"0.04\", expect_size=\"7429120\"] \n  1 -> 29 [size =\"7429120\"]\n  1 -> 30 [size =\"7429120\"]\n  1 -> 32 [size =\"7429120\"]\n  1 -> 38 [size =\"7429120\"]\n  1 -> 42 [size =\"7429120\"]\n  1 -> 43 [size =\"7429120\"]\n  2 [size=\"77361152\", alpha=\"0.11\", expect_size=\"38680576\"] \n  2 -> 32 [size =\"38680576\"]\n  2 -> 38 [size =\"38680576\"]\n  2 -> 42 [size =\"38680576\"]\n  3 [size=\"81831936\", alpha=\"0.17\", expect_size=\"40915968\"] \n  3 -> 29 [size =\"40915968\"]\n  3 -> 32 [size =\"40915968\"]\n  3 -> 33 [size =\"40915968\"]\n  3 -> 38 [size =\"40915968\"]\n  3 -> 42 [size =\"40915968\"]\n  3 -> 44 [size =\"40915968\"]\n  3 -> 45 [size =\"40915968\"]\n  4 [size=\"67133440\", alpha=\"0.02\", expect_size=\"33566720\"] \n  4 -> 31 [size =\"33566720\"]\n  4 -> 32 [size =\"33566720\"]\n  4 -> 33 [size =\"33566720\"]\n  4 -> 34 [size =\"33566720\"]\n  4 -> 35 [size =\"33566720\"]\n  4 -> 38 [size =\"33566720\"]\n  4 -> 41 [size =\"33566720\"]\n  4 -> 45 [size =\"33566720\"]\n  5 [size=\"27465728\", alpha=\"0.09\", expect_size=\"13732864\"] \n  5 -> 28 [size =\"13732864\"]\n  5 -> 33 [size =\"13732864\"]\n  5 -> 34 [size =\"13732864\"]\n  5 -> 35 [size =\"13732864\"]\n  5 -> 38 [size =\"13732864\"]\n  5 -> 38 [size =\"13732864\"]\n  6 [size=\"83034112\", alpha=\"0.01\", expect_size=\"41517056\"] \n  6 -> 28 [size =\"41517056\"]\n  6 -> 29 [size =\"41517056\"]\n  6 -> 34 [size =\"41517056\"]\n  6 -> 37 [size =\"41517056\"]\n  6 -> 43 [size =\"41517056\"]\n  7 [size=\"89008128\", alpha=\"0.03\", expect_size=\"44504064\"] \n  7 -> 29 [size =\"44504064\"]\n  7 -> 31 [size =\"44504064\"]\n  7 -> 34 [size =\"44504064\"]\n  7 -> 37 [size =\"44504064\"]\n  7 -> 43 [size =\"44504064\"]\n  7 -> 45 [size =\"44504064\"]\n  8 [size=\"19453952\", alpha=\"0.05\", expect_size=\"9726976\"] \n  8 -> 31 [size =\"9726976\"]\n  8 -> 34 [size =\"9726976\"]\n  8 -> 34 [size =\"9726976\"]\n  8 -> 37 [size =\"9726976\"]\n  8 -> 42 [size =\"9726976\"]\n  8 -> 43 [size =\"9726976\"]\n  9 [size=\"37015552\", alpha=\"0.08\", expect_size=\"18507776\"] \n  9 -> 31 [size =\"18507776\"]\n  9 -> 32 [size =\"18507776\"]\n  9 -> 33 [size =\"18507776\"]\n  9 -> 34 [size =\"18507776\"]\n  9 -> 36 [size =\"18507776\"]\n  9 -> 45 [size =\"18507776\"]\n  10 [size=\"23851008\", alpha=\"0.16\", expect_size=\"11925504\"] \n  10 -> 28 [size =\"11925504\"]\n  10 -> 30 [size =\"11925504\"]\n  10 -> 36 [size =\"11925504\"]\n  10 -> 38 [size =\"11925504\"]\n  10 -> 41 [size =\"11925504\"]\n  10 -> 42 [size =\"11925504\"]\n  10 -> 43 [size =\"11925504\"]\n  10 -> 44 [size =\"11925504\"]\n  11 [size=\"74182656\", alpha=\"0.14\", expect_size=\"37091328\"] \n  11 -> 28 [size =\"37091328\"]\n  11 -> 29 [size =\"37091328\"]\n  11 -> 30 [size =\"37091328\"]\n  11 -> 32 [size =\"37091328\"]\n  11 -> 33 [size =\"37091328\"]\n  11 -> 36 [size =\"37091328\"]\n  11 -> 41 [size =\"37091328\"]\n  11 -> 43 [size =\"37091328\"]\n  12 [size=\"94773248\", alpha=\"0.12\", expect_size=\"47386624\"] \n  12 -> 29 [size =\"47386624\"]\n  12 -> 32 [size =\"47386624\"]\n  12 -> 33 [size =\"47386624\"]\n  12 -> 37 [size =\"47386624\"]\n  12 -> 42 [size =\"47386624\"]\n  12 -> 43 [size =\"47386624\"]\n  13 [size=\"50573312\", alpha=\"0.03\", expect_size=\"25286656\"] \n  13 -> 29 [size =\"25286656\"]\n  13 -> 34 [size =\"25286656\"]\n  13 -> 40 [size =\"25286656\"]\n  13 -> 42 [size =\"25286656\"]\n  13 -> 45 [size =\"25286656\"]\n  14 [size=\"37216256\", alpha=\"0.10\", expect_size=\"18608128\"] \n  14 -> 28 [size =\"18608128\"]\n  14 -> 32 [size =\"18608128\"]\n  14 -> 33 [size =\"18608128\"]\n  14 -> 34 [size =\"18608128\"]\n  14 -> 35 [size =\"18608128\"]\n  14 -> 36 [size =\"18608128\"]\n  14 -> 38 [size =\"18608128\"]\n  14 -> 42 [size =\"18608128\"]\n  14 -> 44 [size =\"18608128\"]\n  15 [size=\"47753216\", alpha=\"0.15\", expect_size=\"23876608\"] \n  15 -> 31 [size =\"23876608\"]\n  15 -> 34 [size =\"23876608\"]\n  15 -> 35 [size =\"23876608\"]\n  15 -> 37 [size =\"23876608\"]\n  15 -> 38 [size =\"23876608\"]\n  15 -> 42 [size =\"23876608\"]\n  15 -> 43 [size =\"23876608\"]\n  16 [size=\"89331712\", alpha=\"0.13\", expect_size=\"44665856\"] \n  16 -> 29 [size =\"44665856\"]\n  16 -> 31 [size =\"44665856\"]\n  16 -> 32 [size =\"44665856\"]\n  16 -> 37 [size =\"44665856\"]\n  16 -> 42 [size =\"44665856\"]\n  16 -> 43 [size =\"44665856\"]\n  17 [size=\"96215040\", alpha=\"0.16\", expect_size=\"48107520\"] \n  17 -> 32 [size =\"48107520\"]\n  17 -> 36 [size =\"48107520\"]\n  17 -> 37 [size =\"48107520\"]\n  17 -> 42 [size =\"48107520\"]\n  17 -> 43 [size =\"48107520\"]\n  17 -> 45 [size =\"48107520\"]\n  18 [size=\"15699968\", alpha=\"0.07\", expect_size=\"7849984\"] \n  18 -> 29 [size =\"7849984\"]\n  18 -> 30 [size =\"7849984\"]\n  18 -> 31 [size =\"7849984\"]\n  18 -> 34 [size =\"7849984\"]\n  18 -> 35 [size =\"7849984\"]\n  18 -> 37 [size =\"7849984\"]\n  19 [size=\"41420800\", alpha=\"0.10\", expect_size=\"20710400\"] \n  19 -> 38 [size =\"20710400\"]\n  20 [size=\"80809984\", alpha=\"0.13\", expect_size=\"40404992\"] \n  20 -> 29 [size =\"40404992\"]\n  20 -> 30 [size =\"40404992\"]\n  20 -> 34 [size =\"40404992\"]\n  20 -> 41 [size =\"40404992\"]\n  21 [size=\"59738112\", alpha=\"0.17\", expect_size=\"29869056\"] \n  21 -> 34 [size =\"29869056\"]\n  21 -> 38 [size =\"29869056\"]\n  21 -> 41 [size =\"29869056\"]\n  21 -> 43 [size =\"29869056\"]\n  22 [size=\"31639552\", alpha=\"0.16\", expect_size=\"15819776\"] \n  22 -> 32 [size =\"15819776\"]\n  22 -> 33 [size =\"15819776\"]\n  22 -> 34 [size =\"15819776\"]\n  22 -> 38 [size =\"15819776\"]\n  22 -> 41 [size =\"15819776\"]\n  22 -> 43 [size =\"15819776\"]\n  23 [size=\"85925888\", alpha=\"0.09\", expect_size=\"42962944\"] \n  23 -> 29 [size =\"42962944\"]\n  23 -> 36 [size =\"42962944\"]\n  23 -> 37 [size =\"42962944\"]\n  23 -> 38 [size =\"42962944\"]\n  23 -> 43 [size =\"42962944\"]\n  23 -> 43 [size =\"42962944\"]\n  23 -> 45 [size =\"42962944\"]\n  24 [size=\"102277120\", alpha=\"0.14\", expect_size=\"51138560\"] \n  24 -> 32 [size =\"51138560\"]\n  24 -> 38 [size =\"51138560\"]\n  24 -> 39 [size =\"51138560\"]\n  24 -> 42 [size =\"51138560\"]\n  24 -> 44 [size =\"51138560\"]\n  25 [size=\"53833728\", alpha=\"0.03\", expect_size=\"26916864\"] \n  25 -> 28 [size =\"26916864\"]\n  25 -> 29 [size =\"26916864\"]\n  25 -> 34 [size =\"26916864\"]\n  25 -> 36 [size =\"26916864\"]\n  25 -> 38 [size =\"26916864\"]\n  25 -> 40 [size =\"26916864\"]\n  25 -> 42 [size =\"26916864\"]\n  25 -> 43 [size =\"26916864\"]\n  25 -> 44 [size =\"26916864\"]\n  25 -> 45 [size =\"26916864\"]\n  26 [size=\"31631360\", alpha=\"0.08\", expect_size=\"15815680\"] \n  26 -> 31 [size =\"15815680\"]\n  26 -> 38 [size =\"15815680\"]\n  26 -> 42 [size =\"15815680\"]\n  26 -> 45 [size =\"15815680\"]\n  27 [size=\"94394368\", alpha=\"0.09\", expect_size=\"47197184\"] \n  27 -> 28 [size =\"47197184\"]\n  27 -> 38 [size =\"47197184\"]\n  27 -> 40 [size =\"47197184\"]\n  27 -> 41 [size =\"47197184\"]\n  27 -> 43 [size =\"47197184\"]\n  27 -> 45 [size =\"47197184\"]\n  28 [size=\"77025280\", alpha=\"0.11\", expect_size=\"38512640\"] \n  29 [size=\"16441344\", alpha=\"0.20\", expect_size=\"8220672\"] \n  30 [size=\"64657408\", alpha=\"0.11\", expect_size=\"32328704\"] \n  31 [size=\"33218560\", alpha=\"0.16\", expect_size=\"16609280\"] \n  32 [size=\"20871168\", alpha=\"0.19\", expect_size=\"10435584\"] \n  33 [size=\"94490624\", alpha=\"0.10\", expect_size=\"47245312\"] \n  34 [size=\"42309632\", alpha=\"0.07\", expect_size=\"21154816\"] \n  35 [size=\"15347712\", alpha=\"0.11\", expect_size=\"7673856\"] \n  36 [size=\"30586880\", alpha=\"0.13\", expect_size=\"15293440\"] \n  37 [size=\"66203648\", alpha=\"0.12\", expect_size=\"33101824\"] \n  38 [size=\"11978752\", alpha=\"0.13\", expect_size=\"5989376\"] \n  39 [size=\"65626112\", alpha=\"0.00\", expect_size=\"32813056\"] \n  40 [size=\"64931840\", alpha=\"0.03\", expect_size=\"32465920\"] \n  41 [size=\"23263232\", alpha=\"0.15\", expect_size=\"11631616\"] \n  42 [size=\"98689024\", alpha=\"0.12\", expect_size=\"49344512\"] \n  43 [size=\"92383232\", alpha=\"0.05\", expect_size=\"46191616\"] \n  44 [size=\"44431360\", alpha=\"0.18\", expect_size=\"22215680\"] \n  45 [size=\"75941888\", alpha=\"0.20\", expect_size=\"37970944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47101952\", alpha=\"0.00\", expect_size=\"23550976\"] \n  1 -> 3 [size =\"23550976\"]\n  1 -> 6 [size =\"23550976\"]\n  2 [size=\"15800320\", alpha=\"0.04\", expect_size=\"7900160\"] \n  2 -> 4 [size =\"7900160\"]\n  2 -> 5 [size =\"7900160\"]\n  2 -> 6 [size =\"7900160\"]\n  3 [size=\"33183744\", alpha=\"0.12\", expect_size=\"16591872\"] \n  3 -> 8 [size =\"16591872\"]\n  4 [size=\"69963776\", alpha=\"0.08\", expect_size=\"34981888\"] \n  4 -> 7 [size =\"34981888\"]\n  5 [size=\"26947584\", alpha=\"0.12\", expect_size=\"13473792\"] \n  5 -> 8 [size =\"13473792\"]\n  5 -> 9 [size =\"13473792\"]\n  6 [size=\"17162240\", alpha=\"0.10\", expect_size=\"8581120\"] \n  7 [size=\"34404352\", alpha=\"0.08\", expect_size=\"17202176\"] \n  7 -> 12 [size =\"17202176\"]\n  8 [size=\"78616576\", alpha=\"0.18\", expect_size=\"39308288\"] \n  8 -> 10 [size =\"39308288\"]\n  8 -> 11 [size =\"39308288\"]\n  8 -> 12 [size =\"39308288\"]\n  8 -> 13 [size =\"39308288\"]\n  9 [size=\"50317312\", alpha=\"0.00\", expect_size=\"25158656\"] \n  9 -> 10 [size =\"25158656\"]\n  10 [size=\"16582656\", alpha=\"0.19\", expect_size=\"8291328\"] \n  10 -> 14 [size =\"8291328\"]\n  11 [size=\"66299904\", alpha=\"0.08\", expect_size=\"33149952\"] \n  12 [size=\"66603008\", alpha=\"0.13\", expect_size=\"33301504\"] \n  12 -> 14 [size =\"33301504\"]\n  12 -> 15 [size =\"33301504\"]\n  13 [size=\"84879360\", alpha=\"0.08\", expect_size=\"42439680\"] \n  14 [size=\"46012416\", alpha=\"0.00\", expect_size=\"23006208\"] \n  14 -> 16 [size =\"23006208\"]\n  14 -> 17 [size =\"23006208\"]\n  15 [size=\"83924992\", alpha=\"0.08\", expect_size=\"41962496\"] \n  15 -> 16 [size =\"41962496\"]\n  16 [size=\"46047232\", alpha=\"0.09\", expect_size=\"23023616\"] \n  16 -> 18 [size =\"23023616\"]\n  16 -> 19 [size =\"23023616\"]\n  16 -> 20 [size =\"23023616\"]\n  16 -> 21 [size =\"23023616\"]\n  17 [size=\"94377984\", alpha=\"0.14\", expect_size=\"47188992\"] \n  17 -> 18 [size =\"47188992\"]\n  17 -> 21 [size =\"47188992\"]\n  18 [size=\"36456448\", alpha=\"0.15\", expect_size=\"18228224\"] \n  19 [size=\"29087744\", alpha=\"0.06\", expect_size=\"14543872\"] \n  20 [size=\"30072832\", alpha=\"0.01\", expect_size=\"15036416\"] \n  20 -> 23 [size =\"15036416\"]\n  21 [size=\"25073664\", alpha=\"0.03\", expect_size=\"12536832\"] \n  21 -> 22 [size =\"12536832\"]\n  22 [size=\"62558208\", alpha=\"0.06\", expect_size=\"31279104\"] \n  22 -> 25 [size =\"31279104\"]\n  22 -> 26 [size =\"31279104\"]\n  23 [size=\"28995584\", alpha=\"0.14\", expect_size=\"14497792\"] \n  23 -> 24 [size =\"14497792\"]\n  23 -> 25 [size =\"14497792\"]\n  23 -> 26 [size =\"14497792\"]\n  24 [size=\"68794368\", alpha=\"0.15\", expect_size=\"34397184\"] \n  24 -> 28 [size =\"34397184\"]\n  25 [size=\"69416960\", alpha=\"0.19\", expect_size=\"34708480\"] \n  25 -> 27 [size =\"34708480\"]\n  26 [size=\"14123008\", alpha=\"0.05\", expect_size=\"7061504\"] \n  26 -> 28 [size =\"7061504\"]\n  26 -> 29 [size =\"7061504\"]\n  27 [size=\"55498752\", alpha=\"0.16\", expect_size=\"27749376\"] \n  28 [size=\"28823552\", alpha=\"0.01\", expect_size=\"14411776\"] \n  28 -> 32 [size =\"14411776\"]\n  29 [size=\"98136064\", alpha=\"0.14\", expect_size=\"49068032\"] \n  29 -> 30 [size =\"49068032\"]\n  29 -> 31 [size =\"49068032\"]\n  29 -> 32 [size =\"49068032\"]\n  30 [size=\"33507328\", alpha=\"0.09\", expect_size=\"16753664\"] \n  30 -> 33 [size =\"16753664\"]\n  30 -> 34 [size =\"16753664\"]\n  30 -> 35 [size =\"16753664\"]\n  31 [size=\"36988928\", alpha=\"0.16\", expect_size=\"18494464\"] \n  31 -> 33 [size =\"18494464\"]\n  32 [size=\"50825216\", alpha=\"0.15\", expect_size=\"25412608\"] \n  33 [size=\"80332800\", alpha=\"0.09\", expect_size=\"40166400\"] \n  34 [size=\"53835776\", alpha=\"0.11\", expect_size=\"26917888\"] \n  34 -> 36 [size =\"26917888\"]\n  35 [size=\"30816256\", alpha=\"0.08\", expect_size=\"15408128\"] \n  36 [size=\"27736064\", alpha=\"0.13\", expect_size=\"13868032\"] \n  36 -> 37 [size =\"13868032\"]\n  36 -> 38 [size =\"13868032\"]\n  36 -> 39 [size =\"13868032\"]\n  37 [size=\"51273728\", alpha=\"0.16\", expect_size=\"25636864\"] \n  37 -> 40 [size =\"25636864\"]\n  38 [size=\"30973952\", alpha=\"0.04\", expect_size=\"15486976\"] \n  39 [size=\"34971648\", alpha=\"0.17\", expect_size=\"17485824\"] \n  39 -> 40 [size =\"17485824\"]\n  40 [size=\"103098368\", alpha=\"0.13\", expect_size=\"51549184\"] \n  40 -> 41 [size =\"51549184\"]\n  40 -> 42 [size =\"51549184\"]\n  40 -> 43 [size =\"51549184\"]\n  40 -> 44 [size =\"51549184\"]\n  41 [size=\"52709376\", alpha=\"0.13\", expect_size=\"26354688\"] \n  42 [size=\"33988608\", alpha=\"0.03\", expect_size=\"16994304\"] \n  42 -> 45 [size =\"16994304\"]\n  43 [size=\"103057408\", alpha=\"0.17\", expect_size=\"51528704\"] \n  43 -> 45 [size =\"51528704\"]\n  44 [size=\"51193856\", alpha=\"0.04\", expect_size=\"25596928\"] \n  45 [size=\"102668288\", alpha=\"0.04\", expect_size=\"51334144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76683264\", alpha=\"0.08\", expect_size=\"38341632\"] \n  1 -> 9 [size =\"38341632\"]\n  1 -> 10 [size =\"38341632\"]\n  1 -> 11 [size =\"38341632\"]\n  2 [size=\"94173184\", alpha=\"0.02\", expect_size=\"47086592\"] \n  2 -> 8 [size =\"47086592\"]\n  2 -> 9 [size =\"47086592\"]\n  3 [size=\"90750976\", alpha=\"0.08\", expect_size=\"45375488\"] \n  3 -> 7 [size =\"45375488\"]\n  3 -> 9 [size =\"45375488\"]\n  3 -> 10 [size =\"45375488\"]\n  4 [size=\"41641984\", alpha=\"0.14\", expect_size=\"20820992\"] \n  4 -> 7 [size =\"20820992\"]\n  5 [size=\"90503168\", alpha=\"0.10\", expect_size=\"45251584\"] \n  5 -> 9 [size =\"45251584\"]\n  6 [size=\"79110144\", alpha=\"0.11\", expect_size=\"39555072\"] \n  6 -> 7 [size =\"39555072\"]\n  7 [size=\"54329344\", alpha=\"0.16\", expect_size=\"27164672\"] \n  7 -> 15 [size =\"27164672\"]\n  7 -> 16 [size =\"27164672\"]\n  8 [size=\"22370304\", alpha=\"0.00\", expect_size=\"11185152\"] \n  8 -> 14 [size =\"11185152\"]\n  8 -> 15 [size =\"11185152\"]\n  8 -> 16 [size =\"11185152\"]\n  9 [size=\"43075584\", alpha=\"0.11\", expect_size=\"21537792\"] \n  9 -> 13 [size =\"21537792\"]\n  9 -> 15 [size =\"21537792\"]\n  10 [size=\"61288448\", alpha=\"0.02\", expect_size=\"30644224\"] \n  10 -> 14 [size =\"30644224\"]\n  10 -> 15 [size =\"30644224\"]\n  11 [size=\"46700544\", alpha=\"0.07\", expect_size=\"23350272\"] \n  11 -> 12 [size =\"23350272\"]\n  11 -> 15 [size =\"23350272\"]\n  11 -> 16 [size =\"23350272\"]\n  12 [size=\"82851840\", alpha=\"0.02\", expect_size=\"41425920\"] \n  12 -> 17 [size =\"41425920\"]\n  12 -> 18 [size =\"41425920\"]\n  12 -> 20 [size =\"41425920\"]\n  13 [size=\"94097408\", alpha=\"0.09\", expect_size=\"47048704\"] \n  13 -> 17 [size =\"47048704\"]\n  13 -> 18 [size =\"47048704\"]\n  13 -> 20 [size =\"47048704\"]\n  13 -> 21 [size =\"47048704\"]\n  14 [size=\"38490112\", alpha=\"0.16\", expect_size=\"19245056\"] \n  14 -> 17 [size =\"19245056\"]\n  14 -> 18 [size =\"19245056\"]\n  14 -> 19 [size =\"19245056\"]\n  14 -> 20 [size =\"19245056\"]\n  14 -> 21 [size =\"19245056\"]\n  15 [size=\"104019968\", alpha=\"0.18\", expect_size=\"52009984\"] \n  15 -> 17 [size =\"52009984\"]\n  15 -> 18 [size =\"52009984\"]\n  15 -> 21 [size =\"52009984\"]\n  16 [size=\"54480896\", alpha=\"0.08\", expect_size=\"27240448\"] \n  16 -> 17 [size =\"27240448\"]\n  16 -> 18 [size =\"27240448\"]\n  16 -> 20 [size =\"27240448\"]\n  17 [size=\"11159552\", alpha=\"0.20\", expect_size=\"5579776\"] \n  17 -> 22 [size =\"5579776\"]\n  17 -> 23 [size =\"5579776\"]\n  17 -> 27 [size =\"5579776\"]\n  18 [size=\"85895168\", alpha=\"0.10\", expect_size=\"42947584\"] \n  18 -> 23 [size =\"42947584\"]\n  18 -> 25 [size =\"42947584\"]\n  18 -> 26 [size =\"42947584\"]\n  18 -> 27 [size =\"42947584\"]\n  19 [size=\"87103488\", alpha=\"0.01\", expect_size=\"43551744\"] \n  19 -> 22 [size =\"43551744\"]\n  19 -> 23 [size =\"43551744\"]\n  19 -> 26 [size =\"43551744\"]\n  19 -> 27 [size =\"43551744\"]\n  20 [size=\"45742080\", alpha=\"0.03\", expect_size=\"22871040\"] \n  20 -> 22 [size =\"22871040\"]\n  20 -> 23 [size =\"22871040\"]\n  20 -> 25 [size =\"22871040\"]\n  20 -> 27 [size =\"22871040\"]\n  21 [size=\"56885248\", alpha=\"0.00\", expect_size=\"28442624\"] \n  21 -> 23 [size =\"28442624\"]\n  21 -> 24 [size =\"28442624\"]\n  21 -> 25 [size =\"28442624\"]\n  21 -> 27 [size =\"28442624\"]\n  22 [size=\"88461312\", alpha=\"0.15\", expect_size=\"44230656\"] \n  22 -> 28 [size =\"44230656\"]\n  22 -> 30 [size =\"44230656\"]\n  22 -> 32 [size =\"44230656\"]\n  23 [size=\"95787008\", alpha=\"0.06\", expect_size=\"47893504\"] \n  23 -> 29 [size =\"47893504\"]\n  23 -> 32 [size =\"47893504\"]\n  24 [size=\"45207552\", alpha=\"0.04\", expect_size=\"22603776\"] \n  24 -> 28 [size =\"22603776\"]\n  24 -> 30 [size =\"22603776\"]\n  24 -> 32 [size =\"22603776\"]\n  25 [size=\"25065472\", alpha=\"0.19\", expect_size=\"12532736\"] \n  25 -> 28 [size =\"12532736\"]\n  25 -> 30 [size =\"12532736\"]\n  25 -> 31 [size =\"12532736\"]\n  25 -> 32 [size =\"12532736\"]\n  26 [size=\"13797376\", alpha=\"0.09\", expect_size=\"6898688\"] \n  26 -> 30 [size =\"6898688\"]\n  26 -> 32 [size =\"6898688\"]\n  27 [size=\"53522432\", alpha=\"0.08\", expect_size=\"26761216\"] \n  27 -> 28 [size =\"26761216\"]\n  27 -> 30 [size =\"26761216\"]\n  27 -> 32 [size =\"26761216\"]\n  28 [size=\"53514240\", alpha=\"0.09\", expect_size=\"26757120\"] \n  28 -> 33 [size =\"26757120\"]\n  28 -> 34 [size =\"26757120\"]\n  28 -> 37 [size =\"26757120\"]\n  28 -> 38 [size =\"26757120\"]\n  29 [size=\"99819520\", alpha=\"0.17\", expect_size=\"49909760\"] \n  29 -> 34 [size =\"49909760\"]\n  29 -> 35 [size =\"49909760\"]\n  30 [size=\"102914048\", alpha=\"0.16\", expect_size=\"51457024\"] \n  30 -> 36 [size =\"51457024\"]\n  30 -> 37 [size =\"51457024\"]\n  30 -> 38 [size =\"51457024\"]\n  31 [size=\"24418304\", alpha=\"0.03\", expect_size=\"12209152\"] \n  31 -> 34 [size =\"12209152\"]\n  31 -> 35 [size =\"12209152\"]\n  31 -> 36 [size =\"12209152\"]\n  31 -> 38 [size =\"12209152\"]\n  32 [size=\"24903680\", alpha=\"0.05\", expect_size=\"12451840\"] \n  32 -> 33 [size =\"12451840\"]\n  32 -> 34 [size =\"12451840\"]\n  32 -> 38 [size =\"12451840\"]\n  33 [size=\"93687808\", alpha=\"0.05\", expect_size=\"46843904\"] \n  33 -> 42 [size =\"46843904\"]\n  33 -> 43 [size =\"46843904\"]\n  33 -> 44 [size =\"46843904\"]\n  34 [size=\"27918336\", alpha=\"0.11\", expect_size=\"13959168\"] \n  34 -> 39 [size =\"13959168\"]\n  34 -> 41 [size =\"13959168\"]\n  34 -> 42 [size =\"13959168\"]\n  34 -> 43 [size =\"13959168\"]\n  34 -> 44 [size =\"13959168\"]\n  35 [size=\"47501312\", alpha=\"0.16\", expect_size=\"23750656\"] \n  35 -> 42 [size =\"23750656\"]\n  35 -> 44 [size =\"23750656\"]\n  36 [size=\"43710464\", alpha=\"0.11\", expect_size=\"21855232\"] \n  36 -> 41 [size =\"21855232\"]\n  36 -> 42 [size =\"21855232\"]\n  36 -> 43 [size =\"21855232\"]\n  36 -> 44 [size =\"21855232\"]\n  37 [size=\"85172224\", alpha=\"0.06\", expect_size=\"42586112\"] \n  37 -> 41 [size =\"42586112\"]\n  37 -> 44 [size =\"42586112\"]\n  38 [size=\"26984448\", alpha=\"0.17\", expect_size=\"13492224\"] \n  38 -> 39 [size =\"13492224\"]\n  38 -> 40 [size =\"13492224\"]\n  38 -> 42 [size =\"13492224\"]\n  38 -> 44 [size =\"13492224\"]\n  39 [size=\"69781504\", alpha=\"0.05\", expect_size=\"34890752\"] \n  39 -> 45 [size =\"34890752\"]\n  40 [size=\"57407488\", alpha=\"0.19\", expect_size=\"28703744\"] \n  40 -> 45 [size =\"28703744\"]\n  41 [size=\"40667136\", alpha=\"0.04\", expect_size=\"20333568\"] \n  41 -> 45 [size =\"20333568\"]\n  42 [size=\"55777280\", alpha=\"0.05\", expect_size=\"27888640\"] \n  42 -> 45 [size =\"27888640\"]\n  43 [size=\"80732160\", alpha=\"0.04\", expect_size=\"40366080\"] \n  44 [size=\"104771584\", alpha=\"0.11\", expect_size=\"52385792\"] \n  45 [size=\"61530112\", alpha=\"0.00\", expect_size=\"30765056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71415808\", alpha=\"0.03\", expect_size=\"35707904\"] \n  1 -> 10 [size =\"35707904\"]\n  1 -> 15 [size =\"35707904\"]\n  1 -> 22 [size =\"35707904\"]\n  2 [size=\"54818816\", alpha=\"0.15\", expect_size=\"27409408\"] \n  2 -> 11 [size =\"27409408\"]\n  2 -> 12 [size =\"27409408\"]\n  2 -> 16 [size =\"27409408\"]\n  2 -> 17 [size =\"27409408\"]\n  2 -> 18 [size =\"27409408\"]\n  3 [size=\"78716928\", alpha=\"0.17\", expect_size=\"39358464\"] \n  3 -> 15 [size =\"39358464\"]\n  3 -> 18 [size =\"39358464\"]\n  4 [size=\"21981184\", alpha=\"0.15\", expect_size=\"10990592\"] \n  4 -> 15 [size =\"10990592\"]\n  4 -> 18 [size =\"10990592\"]\n  4 -> 19 [size =\"10990592\"]\n  4 -> 21 [size =\"10990592\"]\n  5 [size=\"101324800\", alpha=\"0.03\", expect_size=\"50662400\"] \n  5 -> 14 [size =\"50662400\"]\n  5 -> 15 [size =\"50662400\"]\n  5 -> 17 [size =\"50662400\"]\n  5 -> 18 [size =\"50662400\"]\n  5 -> 21 [size =\"50662400\"]\n  5 -> 22 [size =\"50662400\"]\n  6 [size=\"92295168\", alpha=\"0.10\", expect_size=\"46147584\"] \n  6 -> 9 [size =\"46147584\"]\n  6 -> 10 [size =\"46147584\"]\n  6 -> 16 [size =\"46147584\"]\n  6 -> 17 [size =\"46147584\"]\n  6 -> 21 [size =\"46147584\"]\n  7 [size=\"34111488\", alpha=\"0.10\", expect_size=\"17055744\"] \n  7 -> 13 [size =\"17055744\"]\n  7 -> 17 [size =\"17055744\"]\n  8 [size=\"57632768\", alpha=\"0.06\", expect_size=\"28816384\"] \n  8 -> 13 [size =\"28816384\"]\n  8 -> 20 [size =\"28816384\"]\n  9 [size=\"101627904\", alpha=\"0.09\", expect_size=\"50813952\"] \n  9 -> 25 [size =\"50813952\"]\n  9 -> 33 [size =\"50813952\"]\n  10 [size=\"59648000\", alpha=\"0.12\", expect_size=\"29824000\"] \n  10 -> 28 [size =\"29824000\"]\n  10 -> 32 [size =\"29824000\"]\n  11 [size=\"99883008\", alpha=\"0.09\", expect_size=\"49941504\"] \n  11 -> 32 [size =\"49941504\"]\n  12 [size=\"20346880\", alpha=\"0.07\", expect_size=\"10173440\"] \n  12 -> 24 [size =\"10173440\"]\n  12 -> 29 [size =\"10173440\"]\n  12 -> 33 [size =\"10173440\"]\n  13 [size=\"90925056\", alpha=\"0.11\", expect_size=\"45462528\"] \n  13 -> 29 [size =\"45462528\"]\n  13 -> 33 [size =\"45462528\"]\n  14 [size=\"77795328\", alpha=\"0.16\", expect_size=\"38897664\"] \n  14 -> 25 [size =\"38897664\"]\n  14 -> 26 [size =\"38897664\"]\n  14 -> 29 [size =\"38897664\"]\n  14 -> 31 [size =\"38897664\"]\n  14 -> 32 [size =\"38897664\"]\n  15 [size=\"55719936\", alpha=\"0.01\", expect_size=\"27859968\"] \n  15 -> 23 [size =\"27859968\"]\n  15 -> 27 [size =\"27859968\"]\n  15 -> 29 [size =\"27859968\"]\n  15 -> 31 [size =\"27859968\"]\n  16 [size=\"71311360\", alpha=\"0.10\", expect_size=\"35655680\"] \n  16 -> 25 [size =\"35655680\"]\n  16 -> 28 [size =\"35655680\"]\n  17 [size=\"26165248\", alpha=\"0.05\", expect_size=\"13082624\"] \n  17 -> 25 [size =\"13082624\"]\n  17 -> 26 [size =\"13082624\"]\n  17 -> 27 [size =\"13082624\"]\n  17 -> 28 [size =\"13082624\"]\n  17 -> 30 [size =\"13082624\"]\n  17 -> 31 [size =\"13082624\"]\n  18 [size=\"75655168\", alpha=\"0.02\", expect_size=\"37827584\"] \n  18 -> 24 [size =\"37827584\"]\n  18 -> 25 [size =\"37827584\"]\n  18 -> 26 [size =\"37827584\"]\n  18 -> 27 [size =\"37827584\"]\n  18 -> 28 [size =\"37827584\"]\n  18 -> 32 [size =\"37827584\"]\n  19 [size=\"103362560\", alpha=\"0.10\", expect_size=\"51681280\"] \n  19 -> 25 [size =\"51681280\"]\n  19 -> 31 [size =\"51681280\"]\n  19 -> 33 [size =\"51681280\"]\n  20 [size=\"49291264\", alpha=\"0.05\", expect_size=\"24645632\"] \n  20 -> 25 [size =\"24645632\"]\n  20 -> 27 [size =\"24645632\"]\n  20 -> 31 [size =\"24645632\"]\n  20 -> 32 [size =\"24645632\"]\n  21 [size=\"13864960\", alpha=\"0.13\", expect_size=\"6932480\"] \n  21 -> 27 [size =\"6932480\"]\n  21 -> 29 [size =\"6932480\"]\n  21 -> 31 [size =\"6932480\"]\n  21 -> 32 [size =\"6932480\"]\n  22 [size=\"56064000\", alpha=\"0.09\", expect_size=\"28032000\"] \n  22 -> 26 [size =\"28032000\"]\n  22 -> 31 [size =\"28032000\"]\n  23 [size=\"86908928\", alpha=\"0.01\", expect_size=\"43454464\"] \n  24 [size=\"42285056\", alpha=\"0.15\", expect_size=\"21142528\"] \n  24 -> 38 [size =\"21142528\"]\n  24 -> 39 [size =\"21142528\"]\n  25 [size=\"24391680\", alpha=\"0.08\", expect_size=\"12195840\"] \n  25 -> 37 [size =\"12195840\"]\n  25 -> 38 [size =\"12195840\"]\n  25 -> 39 [size =\"12195840\"]\n  25 -> 40 [size =\"12195840\"]\n  25 -> 42 [size =\"12195840\"]\n  26 [size=\"28520448\", alpha=\"0.18\", expect_size=\"14260224\"] \n  26 -> 38 [size =\"14260224\"]\n  26 -> 40 [size =\"14260224\"]\n  26 -> 41 [size =\"14260224\"]\n  27 [size=\"77676544\", alpha=\"0.14\", expect_size=\"38838272\"] \n  27 -> 38 [size =\"38838272\"]\n  27 -> 39 [size =\"38838272\"]\n  27 -> 40 [size =\"38838272\"]\n  27 -> 41 [size =\"38838272\"]\n  28 [size=\"99665920\", alpha=\"0.19\", expect_size=\"49832960\"] \n  28 -> 35 [size =\"49832960\"]\n  28 -> 40 [size =\"49832960\"]\n  28 -> 40 [size =\"49832960\"]\n  29 [size=\"16662528\", alpha=\"0.04\", expect_size=\"8331264\"] \n  29 -> 36 [size =\"8331264\"]\n  29 -> 42 [size =\"8331264\"]\n  30 [size=\"65525760\", alpha=\"0.19\", expect_size=\"32762880\"] \n  30 -> 34 [size =\"32762880\"]\n  30 -> 42 [size =\"32762880\"]\n  31 [size=\"89008128\", alpha=\"0.13\", expect_size=\"44504064\"] \n  31 -> 35 [size =\"44504064\"]\n  32 [size=\"53669888\", alpha=\"0.09\", expect_size=\"26834944\"] \n  32 -> 36 [size =\"26834944\"]\n  32 -> 37 [size =\"26834944\"]\n  32 -> 39 [size =\"26834944\"]\n  33 [size=\"98217984\", alpha=\"0.02\", expect_size=\"49108992\"] \n  33 -> 39 [size =\"49108992\"]\n  33 -> 41 [size =\"49108992\"]\n  34 [size=\"102141952\", alpha=\"0.10\", expect_size=\"51070976\"] \n  35 [size=\"76937216\", alpha=\"0.07\", expect_size=\"38468608\"] \n  36 [size=\"19070976\", alpha=\"0.17\", expect_size=\"9535488\"] \n  36 -> 45 [size =\"9535488\"]\n  37 [size=\"104728576\", alpha=\"0.10\", expect_size=\"52364288\"] \n  37 -> 45 [size =\"52364288\"]\n  38 [size=\"74418176\", alpha=\"0.17\", expect_size=\"37209088\"] \n  38 -> 44 [size =\"37209088\"]\n  39 [size=\"69664768\", alpha=\"0.04\", expect_size=\"34832384\"] \n  39 -> 44 [size =\"34832384\"]\n  40 [size=\"87234560\", alpha=\"0.19\", expect_size=\"43617280\"] \n  40 -> 43 [size =\"43617280\"]\n  41 [size=\"81922048\", alpha=\"0.15\", expect_size=\"40961024\"] \n  42 [size=\"48750592\", alpha=\"0.00\", expect_size=\"24375296\"] \n  42 -> 43 [size =\"24375296\"]\n  43 [size=\"91959296\", alpha=\"0.02\", expect_size=\"45979648\"] \n  44 [size=\"103239680\", alpha=\"0.10\", expect_size=\"51619840\"] \n  45 [size=\"55535616\", alpha=\"0.02\", expect_size=\"27767808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52252672\", alpha=\"0.06\", expect_size=\"26126336\"] \n  1 -> 28 [size =\"26126336\"]\n  1 -> 31 [size =\"26126336\"]\n  1 -> 34 [size =\"26126336\"]\n  1 -> 38 [size =\"26126336\"]\n  1 -> 39 [size =\"26126336\"]\n  1 -> 41 [size =\"26126336\"]\n  1 -> 42 [size =\"26126336\"]\n  1 -> 43 [size =\"26126336\"]\n  1 -> 45 [size =\"26126336\"]\n  2 [size=\"19095552\", alpha=\"0.05\", expect_size=\"9547776\"] \n  2 -> 28 [size =\"9547776\"]\n  2 -> 30 [size =\"9547776\"]\n  2 -> 33 [size =\"9547776\"]\n  2 -> 34 [size =\"9547776\"]\n  2 -> 37 [size =\"9547776\"]\n  2 -> 38 [size =\"9547776\"]\n  2 -> 41 [size =\"9547776\"]\n  2 -> 43 [size =\"9547776\"]\n  3 [size=\"18522112\", alpha=\"0.05\", expect_size=\"9261056\"] \n  3 -> 28 [size =\"9261056\"]\n  3 -> 30 [size =\"9261056\"]\n  3 -> 31 [size =\"9261056\"]\n  3 -> 33 [size =\"9261056\"]\n  3 -> 34 [size =\"9261056\"]\n  3 -> 36 [size =\"9261056\"]\n  3 -> 38 [size =\"9261056\"]\n  3 -> 42 [size =\"9261056\"]\n  3 -> 43 [size =\"9261056\"]\n  4 [size=\"15372288\", alpha=\"0.09\", expect_size=\"7686144\"] \n  4 -> 28 [size =\"7686144\"]\n  4 -> 30 [size =\"7686144\"]\n  4 -> 34 [size =\"7686144\"]\n  4 -> 35 [size =\"7686144\"]\n  4 -> 37 [size =\"7686144\"]\n  4 -> 38 [size =\"7686144\"]\n  4 -> 38 [size =\"7686144\"]\n  4 -> 42 [size =\"7686144\"]\n  4 -> 43 [size =\"7686144\"]\n  5 [size=\"20934656\", alpha=\"0.13\", expect_size=\"10467328\"] \n  5 -> 28 [size =\"10467328\"]\n  5 -> 29 [size =\"10467328\"]\n  5 -> 30 [size =\"10467328\"]\n  5 -> 31 [size =\"10467328\"]\n  5 -> 34 [size =\"10467328\"]\n  5 -> 36 [size =\"10467328\"]\n  5 -> 37 [size =\"10467328\"]\n  5 -> 38 [size =\"10467328\"]\n  6 [size=\"57454592\", alpha=\"0.00\", expect_size=\"28727296\"] \n  6 -> 28 [size =\"28727296\"]\n  6 -> 30 [size =\"28727296\"]\n  6 -> 31 [size =\"28727296\"]\n  6 -> 31 [size =\"28727296\"]\n  6 -> 32 [size =\"28727296\"]\n  6 -> 33 [size =\"28727296\"]\n  6 -> 36 [size =\"28727296\"]\n  6 -> 37 [size =\"28727296\"]\n  6 -> 38 [size =\"28727296\"]\n  6 -> 43 [size =\"28727296\"]\n  7 [size=\"59496448\", alpha=\"0.19\", expect_size=\"29748224\"] \n  7 -> 28 [size =\"29748224\"]\n  7 -> 30 [size =\"29748224\"]\n  7 -> 31 [size =\"29748224\"]\n  7 -> 32 [size =\"29748224\"]\n  7 -> 33 [size =\"29748224\"]\n  7 -> 33 [size =\"29748224\"]\n  7 -> 34 [size =\"29748224\"]\n  7 -> 35 [size =\"29748224\"]\n  7 -> 36 [size =\"29748224\"]\n  7 -> 37 [size =\"29748224\"]\n  7 -> 38 [size =\"29748224\"]\n  7 -> 42 [size =\"29748224\"]\n  8 [size=\"57839616\", alpha=\"0.10\", expect_size=\"28919808\"] \n  8 -> 28 [size =\"28919808\"]\n  8 -> 29 [size =\"28919808\"]\n  8 -> 30 [size =\"28919808\"]\n  8 -> 31 [size =\"28919808\"]\n  8 -> 32 [size =\"28919808\"]\n  8 -> 36 [size =\"28919808\"]\n  8 -> 38 [size =\"28919808\"]\n  8 -> 39 [size =\"28919808\"]\n  9 [size=\"98275328\", alpha=\"0.10\", expect_size=\"49137664\"] \n  9 -> 28 [size =\"49137664\"]\n  9 -> 30 [size =\"49137664\"]\n  9 -> 32 [size =\"49137664\"]\n  9 -> 33 [size =\"49137664\"]\n  9 -> 36 [size =\"49137664\"]\n  9 -> 38 [size =\"49137664\"]\n  9 -> 39 [size =\"49137664\"]\n  9 -> 41 [size =\"49137664\"]\n  9 -> 42 [size =\"49137664\"]\n  10 [size=\"20588544\", alpha=\"0.17\", expect_size=\"10294272\"] \n  10 -> 28 [size =\"10294272\"]\n  10 -> 30 [size =\"10294272\"]\n  10 -> 31 [size =\"10294272\"]\n  10 -> 32 [size =\"10294272\"]\n  10 -> 33 [size =\"10294272\"]\n  10 -> 34 [size =\"10294272\"]\n  10 -> 38 [size =\"10294272\"]\n  10 -> 39 [size =\"10294272\"]\n  10 -> 41 [size =\"10294272\"]\n  10 -> 42 [size =\"10294272\"]\n  11 [size=\"104065024\", alpha=\"0.14\", expect_size=\"52032512\"] \n  11 -> 28 [size =\"52032512\"]\n  11 -> 30 [size =\"52032512\"]\n  11 -> 31 [size =\"52032512\"]\n  11 -> 33 [size =\"52032512\"]\n  11 -> 33 [size =\"52032512\"]\n  11 -> 34 [size =\"52032512\"]\n  11 -> 38 [size =\"52032512\"]\n  11 -> 39 [size =\"52032512\"]\n  11 -> 41 [size =\"52032512\"]\n  11 -> 42 [size =\"52032512\"]\n  11 -> 43 [size =\"52032512\"]\n  12 [size=\"37873664\", alpha=\"0.15\", expect_size=\"18936832\"] \n  12 -> 28 [size =\"18936832\"]\n  12 -> 29 [size =\"18936832\"]\n  12 -> 30 [size =\"18936832\"]\n  12 -> 32 [size =\"18936832\"]\n  12 -> 33 [size =\"18936832\"]\n  12 -> 36 [size =\"18936832\"]\n  12 -> 37 [size =\"18936832\"]\n  12 -> 39 [size =\"18936832\"]\n  12 -> 41 [size =\"18936832\"]\n  12 -> 43 [size =\"18936832\"]\n  13 [size=\"61718528\", alpha=\"0.16\", expect_size=\"30859264\"] \n  13 -> 29 [size =\"30859264\"]\n  13 -> 30 [size =\"30859264\"]\n  13 -> 31 [size =\"30859264\"]\n  13 -> 33 [size =\"30859264\"]\n  13 -> 33 [size =\"30859264\"]\n  13 -> 34 [size =\"30859264\"]\n  13 -> 35 [size =\"30859264\"]\n  13 -> 38 [size =\"30859264\"]\n  13 -> 39 [size =\"30859264\"]\n  13 -> 41 [size =\"30859264\"]\n  13 -> 43 [size =\"30859264\"]\n  13 -> 45 [size =\"30859264\"]\n  14 [size=\"87556096\", alpha=\"0.07\", expect_size=\"43778048\"] \n  14 -> 30 [size =\"43778048\"]\n  14 -> 30 [size =\"43778048\"]\n  14 -> 31 [size =\"43778048\"]\n  14 -> 33 [size =\"43778048\"]\n  14 -> 34 [size =\"43778048\"]\n  14 -> 34 [size =\"43778048\"]\n  14 -> 36 [size =\"43778048\"]\n  14 -> 38 [size =\"43778048\"]\n  14 -> 39 [size =\"43778048\"]\n  15 [size=\"37855232\", alpha=\"0.01\", expect_size=\"18927616\"] \n  15 -> 30 [size =\"18927616\"]\n  15 -> 31 [size =\"18927616\"]\n  15 -> 31 [size =\"18927616\"]\n  15 -> 32 [size =\"18927616\"]\n  15 -> 34 [size =\"18927616\"]\n  15 -> 35 [size =\"18927616\"]\n  15 -> 38 [size =\"18927616\"]\n  15 -> 38 [size =\"18927616\"]\n  15 -> 39 [size =\"18927616\"]\n  15 -> 41 [size =\"18927616\"]\n  15 -> 42 [size =\"18927616\"]\n  16 [size=\"98316288\", alpha=\"0.14\", expect_size=\"49158144\"] \n  16 -> 28 [size =\"49158144\"]\n  16 -> 31 [size =\"49158144\"]\n  16 -> 33 [size =\"49158144\"]\n  16 -> 34 [size =\"49158144\"]\n  16 -> 35 [size =\"49158144\"]\n  16 -> 38 [size =\"49158144\"]\n  16 -> 39 [size =\"49158144\"]\n  16 -> 41 [size =\"49158144\"]\n  16 -> 42 [size =\"49158144\"]\n  16 -> 43 [size =\"49158144\"]\n  17 [size=\"98623488\", alpha=\"0.06\", expect_size=\"49311744\"] \n  17 -> 28 [size =\"49311744\"]\n  17 -> 29 [size =\"49311744\"]\n  17 -> 31 [size =\"49311744\"]\n  17 -> 32 [size =\"49311744\"]\n  17 -> 33 [size =\"49311744\"]\n  17 -> 34 [size =\"49311744\"]\n  17 -> 35 [size =\"49311744\"]\n  17 -> 36 [size =\"49311744\"]\n  17 -> 39 [size =\"49311744\"]\n  17 -> 41 [size =\"49311744\"]\n  17 -> 42 [size =\"49311744\"]\n  18 [size=\"93462528\", alpha=\"0.20\", expect_size=\"46731264\"] \n  18 -> 28 [size =\"46731264\"]\n  18 -> 31 [size =\"46731264\"]\n  18 -> 31 [size =\"46731264\"]\n  18 -> 35 [size =\"46731264\"]\n  18 -> 36 [size =\"46731264\"]\n  18 -> 39 [size =\"46731264\"]\n  18 -> 41 [size =\"46731264\"]\n  18 -> 42 [size =\"46731264\"]\n  19 [size=\"46798848\", alpha=\"0.16\", expect_size=\"23399424\"] \n  19 -> 31 [size =\"23399424\"]\n  19 -> 31 [size =\"23399424\"]\n  19 -> 34 [size =\"23399424\"]\n  19 -> 36 [size =\"23399424\"]\n  19 -> 37 [size =\"23399424\"]\n  19 -> 38 [size =\"23399424\"]\n  19 -> 39 [size =\"23399424\"]\n  19 -> 43 [size =\"23399424\"]\n  20 [size=\"94599168\", alpha=\"0.19\", expect_size=\"47299584\"] \n  20 -> 28 [size =\"47299584\"]\n  20 -> 32 [size =\"47299584\"]\n  20 -> 33 [size =\"47299584\"]\n  20 -> 36 [size =\"47299584\"]\n  20 -> 37 [size =\"47299584\"]\n  20 -> 38 [size =\"47299584\"]\n  20 -> 39 [size =\"47299584\"]\n  20 -> 41 [size =\"47299584\"]\n  20 -> 42 [size =\"47299584\"]\n  20 -> 43 [size =\"47299584\"]\n  21 [size=\"81676288\", alpha=\"0.11\", expect_size=\"40838144\"] \n  21 -> 28 [size =\"40838144\"]\n  21 -> 32 [size =\"40838144\"]\n  21 -> 33 [size =\"40838144\"]\n  21 -> 36 [size =\"40838144\"]\n  21 -> 37 [size =\"40838144\"]\n  21 -> 38 [size =\"40838144\"]\n  21 -> 39 [size =\"40838144\"]\n  21 -> 41 [size =\"40838144\"]\n  21 -> 42 [size =\"40838144\"]\n  22 [size=\"54153216\", alpha=\"0.05\", expect_size=\"27076608\"] \n  22 -> 28 [size =\"27076608\"]\n  22 -> 30 [size =\"27076608\"]\n  22 -> 32 [size =\"27076608\"]\n  22 -> 34 [size =\"27076608\"]\n  22 -> 35 [size =\"27076608\"]\n  22 -> 36 [size =\"27076608\"]\n  22 -> 37 [size =\"27076608\"]\n  22 -> 38 [size =\"27076608\"]\n  22 -> 39 [size =\"27076608\"]\n  22 -> 41 [size =\"27076608\"]\n  22 -> 42 [size =\"27076608\"]\n  22 -> 43 [size =\"27076608\"]\n  23 [size=\"31678464\", alpha=\"0.00\", expect_size=\"15839232\"] \n  23 -> 28 [size =\"15839232\"]\n  23 -> 30 [size =\"15839232\"]\n  23 -> 31 [size =\"15839232\"]\n  23 -> 35 [size =\"15839232\"]\n  23 -> 35 [size =\"15839232\"]\n  23 -> 36 [size =\"15839232\"]\n  23 -> 38 [size =\"15839232\"]\n  23 -> 39 [size =\"15839232\"]\n  23 -> 39 [size =\"15839232\"]\n  23 -> 40 [size =\"15839232\"]\n  23 -> 42 [size =\"15839232\"]\n  24 [size=\"14811136\", alpha=\"0.17\", expect_size=\"7405568\"] \n  24 -> 28 [size =\"7405568\"]\n  24 -> 29 [size =\"7405568\"]\n  24 -> 30 [size =\"7405568\"]\n  24 -> 34 [size =\"7405568\"]\n  24 -> 38 [size =\"7405568\"]\n  24 -> 39 [size =\"7405568\"]\n  24 -> 42 [size =\"7405568\"]\n  24 -> 43 [size =\"7405568\"]\n  24 -> 44 [size =\"7405568\"]\n  25 [size=\"46553088\", alpha=\"0.16\", expect_size=\"23276544\"] \n  25 -> 28 [size =\"23276544\"]\n  25 -> 29 [size =\"23276544\"]\n  25 -> 30 [size =\"23276544\"]\n  25 -> 31 [size =\"23276544\"]\n  25 -> 32 [size =\"23276544\"]\n  25 -> 33 [size =\"23276544\"]\n  25 -> 35 [size =\"23276544\"]\n  25 -> 36 [size =\"23276544\"]\n  25 -> 37 [size =\"23276544\"]\n  25 -> 41 [size =\"23276544\"]\n  25 -> 42 [size =\"23276544\"]\n  25 -> 43 [size =\"23276544\"]\n  26 [size=\"51552256\", alpha=\"0.04\", expect_size=\"25776128\"] \n  26 -> 28 [size =\"25776128\"]\n  26 -> 30 [size =\"25776128\"]\n  26 -> 31 [size =\"25776128\"]\n  26 -> 33 [size =\"25776128\"]\n  26 -> 38 [size =\"25776128\"]\n  26 -> 39 [size =\"25776128\"]\n  26 -> 41 [size =\"25776128\"]\n  26 -> 43 [size =\"25776128\"]\n  27 [size=\"22208512\", alpha=\"0.03\", expect_size=\"11104256\"] \n  27 -> 28 [size =\"11104256\"]\n  27 -> 30 [size =\"11104256\"]\n  27 -> 31 [size =\"11104256\"]\n  27 -> 32 [size =\"11104256\"]\n  27 -> 33 [size =\"11104256\"]\n  27 -> 34 [size =\"11104256\"]\n  27 -> 38 [size =\"11104256\"]\n  27 -> 39 [size =\"11104256\"]\n  27 -> 41 [size =\"11104256\"]\n  27 -> 43 [size =\"11104256\"]\n  28 [size=\"49905664\", alpha=\"0.13\", expect_size=\"24952832\"] \n  29 [size=\"48615424\", alpha=\"0.00\", expect_size=\"24307712\"] \n  30 [size=\"28731392\", alpha=\"0.10\", expect_size=\"14365696\"] \n  31 [size=\"23672832\", alpha=\"0.20\", expect_size=\"11836416\"] \n  32 [size=\"75210752\", alpha=\"0.15\", expect_size=\"37605376\"] \n  33 [size=\"97583104\", alpha=\"0.02\", expect_size=\"48791552\"] \n  34 [size=\"98828288\", alpha=\"0.05\", expect_size=\"49414144\"] \n  35 [size=\"83834880\", alpha=\"0.13\", expect_size=\"41917440\"] \n  36 [size=\"63049728\", alpha=\"0.00\", expect_size=\"31524864\"] \n  37 [size=\"83443712\", alpha=\"0.06\", expect_size=\"41721856\"] \n  38 [size=\"99655680\", alpha=\"0.10\", expect_size=\"49827840\"] \n  39 [size=\"64671744\", alpha=\"0.01\", expect_size=\"32335872\"] \n  40 [size=\"66279424\", alpha=\"0.10\", expect_size=\"33139712\"] \n  41 [size=\"20211712\", alpha=\"0.14\", expect_size=\"10105856\"] \n  42 [size=\"20051968\", alpha=\"0.07\", expect_size=\"10025984\"] \n  43 [size=\"93186048\", alpha=\"0.05\", expect_size=\"46593024\"] \n  44 [size=\"102105088\", alpha=\"0.03\", expect_size=\"51052544\"] \n  45 [size=\"29509632\", alpha=\"0.10\", expect_size=\"14754816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32048640\", alpha=\"0.05\", expect_size=\"12819456\"] \n  1 -> 20 [size =\"12819456\"]\n  1 -> 21 [size =\"12819456\"]\n  1 -> 23 [size =\"12819456\"]\n  1 -> 25 [size =\"12819456\"]\n  2 [size=\"52677120\", alpha=\"0.04\", expect_size=\"21070848\"] \n  2 -> 17 [size =\"21070848\"]\n  2 -> 20 [size =\"21070848\"]\n  2 -> 22 [size =\"21070848\"]\n  2 -> 23 [size =\"21070848\"]\n  2 -> 24 [size =\"21070848\"]\n  3 [size=\"46604800\", alpha=\"0.16\", expect_size=\"18641920\"] \n  3 -> 11 [size =\"18641920\"]\n  3 -> 17 [size =\"18641920\"]\n  3 -> 20 [size =\"18641920\"]\n  3 -> 22 [size =\"18641920\"]\n  3 -> 23 [size =\"18641920\"]\n  4 [size=\"79918080\", alpha=\"0.12\", expect_size=\"31967232\"] \n  4 -> 11 [size =\"31967232\"]\n  4 -> 14 [size =\"31967232\"]\n  4 -> 17 [size =\"31967232\"]\n  4 -> 22 [size =\"31967232\"]\n  4 -> 23 [size =\"31967232\"]\n  5 [size=\"130032640\", alpha=\"0.10\", expect_size=\"52013056\"] \n  5 -> 14 [size =\"52013056\"]\n  5 -> 17 [size =\"52013056\"]\n  5 -> 19 [size =\"52013056\"]\n  6 [size=\"108853760\", alpha=\"0.14\", expect_size=\"43541504\"] \n  7 [size=\"52328960\", alpha=\"0.03\", expect_size=\"20931584\"] \n  7 -> 11 [size =\"20931584\"]\n  7 -> 12 [size =\"20931584\"]\n  7 -> 14 [size =\"20931584\"]\n  7 -> 18 [size =\"20931584\"]\n  7 -> 21 [size =\"20931584\"]\n  7 -> 22 [size =\"20931584\"]\n  7 -> 24 [size =\"20931584\"]\n  8 [size=\"124211200\", alpha=\"0.03\", expect_size=\"49684480\"] \n  8 -> 12 [size =\"49684480\"]\n  8 -> 15 [size =\"49684480\"]\n  8 -> 18 [size =\"49684480\"]\n  8 -> 22 [size =\"49684480\"]\n  8 -> 25 [size =\"49684480\"]\n  9 [size=\"32522240\", alpha=\"0.07\", expect_size=\"13008896\"] \n  9 -> 14 [size =\"13008896\"]\n  9 -> 16 [size =\"13008896\"]\n  9 -> 19 [size =\"13008896\"]\n  9 -> 24 [size =\"13008896\"]\n  10 [size=\"40488960\", alpha=\"0.08\", expect_size=\"16195584\"] \n  10 -> 12 [size =\"16195584\"]\n  10 -> 13 [size =\"16195584\"]\n  10 -> 17 [size =\"16195584\"]\n  10 -> 20 [size =\"16195584\"]\n  10 -> 23 [size =\"16195584\"]\n  10 -> 24 [size =\"16195584\"]\n  11 [size=\"96939520\", alpha=\"0.18\", expect_size=\"38775808\"] \n  11 -> 26 [size =\"38775808\"]\n  11 -> 29 [size =\"38775808\"]\n  12 [size=\"128450560\", alpha=\"0.02\", expect_size=\"51380224\"] \n  12 -> 26 [size =\"51380224\"]\n  12 -> 30 [size =\"51380224\"]\n  12 -> 35 [size =\"51380224\"]\n  13 [size=\"36277760\", alpha=\"0.19\", expect_size=\"14511104\"] \n  13 -> 29 [size =\"14511104\"]\n  14 [size=\"13335040\", alpha=\"0.01\", expect_size=\"5334016\"] \n  14 -> 27 [size =\"5334016\"]\n  14 -> 29 [size =\"5334016\"]\n  15 [size=\"86622720\", alpha=\"0.11\", expect_size=\"34649088\"] \n  15 -> 29 [size =\"34649088\"]\n  15 -> 31 [size =\"34649088\"]\n  15 -> 33 [size =\"34649088\"]\n  15 -> 35 [size =\"34649088\"]\n  16 [size=\"28241920\", alpha=\"0.14\", expect_size=\"11296768\"] \n  16 -> 31 [size =\"11296768\"]\n  17 [size=\"109882880\", alpha=\"0.19\", expect_size=\"43953152\"] \n  17 -> 30 [size =\"43953152\"]\n  17 -> 33 [size =\"43953152\"]\n  17 -> 35 [size =\"43953152\"]\n  18 [size=\"124894720\", alpha=\"0.05\", expect_size=\"49957888\"] \n  18 -> 27 [size =\"49957888\"]\n  18 -> 28 [size =\"49957888\"]\n  18 -> 29 [size =\"49957888\"]\n  19 [size=\"26329600\", alpha=\"0.09\", expect_size=\"10531840\"] \n  19 -> 28 [size =\"10531840\"]\n  19 -> 28 [size =\"10531840\"]\n  19 -> 30 [size =\"10531840\"]\n  19 -> 31 [size =\"10531840\"]\n  20 [size=\"68096000\", alpha=\"0.08\", expect_size=\"27238400\"] \n  20 -> 26 [size =\"27238400\"]\n  20 -> 28 [size =\"27238400\"]\n  20 -> 30 [size =\"27238400\"]\n  20 -> 31 [size =\"27238400\"]\n  21 [size=\"114726400\", alpha=\"0.09\", expect_size=\"45890560\"] \n  21 -> 28 [size =\"45890560\"]\n  21 -> 29 [size =\"45890560\"]\n  21 -> 35 [size =\"45890560\"]\n  22 [size=\"105336320\", alpha=\"0.17\", expect_size=\"42134528\"] \n  22 -> 27 [size =\"42134528\"]\n  22 -> 31 [size =\"42134528\"]\n  22 -> 33 [size =\"42134528\"]\n  22 -> 34 [size =\"42134528\"]\n  23 [size=\"118005760\", alpha=\"0.11\", expect_size=\"47202304\"] \n  23 -> 27 [size =\"47202304\"]\n  23 -> 30 [size =\"47202304\"]\n  23 -> 31 [size =\"47202304\"]\n  24 [size=\"114734080\", alpha=\"0.16\", expect_size=\"45893632\"] \n  24 -> 32 [size =\"45893632\"]\n  25 [size=\"121059840\", alpha=\"0.01\", expect_size=\"48423936\"] \n  25 -> 29 [size =\"48423936\"]\n  25 -> 31 [size =\"48423936\"]\n  25 -> 33 [size =\"48423936\"]\n  25 -> 34 [size =\"48423936\"]\n  26 [size=\"69762560\", alpha=\"0.02\", expect_size=\"27905024\"] \n  26 -> 37 [size =\"27905024\"]\n  26 -> 41 [size =\"27905024\"]\n  27 [size=\"35783680\", alpha=\"0.10\", expect_size=\"14313472\"] \n  27 -> 36 [size =\"14313472\"]\n  27 -> 37 [size =\"14313472\"]\n  27 -> 38 [size =\"14313472\"]\n  27 -> 41 [size =\"14313472\"]\n  27 -> 42 [size =\"14313472\"]\n  28 [size=\"28198400\", alpha=\"0.17\", expect_size=\"11279360\"] \n  28 -> 36 [size =\"11279360\"]\n  28 -> 39 [size =\"11279360\"]\n  28 -> 42 [size =\"11279360\"]\n  29 [size=\"59059200\", alpha=\"0.07\", expect_size=\"23623680\"] \n  29 -> 36 [size =\"23623680\"]\n  29 -> 37 [size =\"23623680\"]\n  29 -> 39 [size =\"23623680\"]\n  29 -> 40 [size =\"23623680\"]\n  29 -> 42 [size =\"23623680\"]\n  29 -> 44 [size =\"23623680\"]\n  30 [size=\"114296320\", alpha=\"0.02\", expect_size=\"45718528\"] \n  30 -> 38 [size =\"45718528\"]\n  30 -> 40 [size =\"45718528\"]\n  30 -> 43 [size =\"45718528\"]\n  30 -> 44 [size =\"45718528\"]\n  31 [size=\"41216000\", alpha=\"0.11\", expect_size=\"16486400\"] \n  31 -> 36 [size =\"16486400\"]\n  31 -> 42 [size =\"16486400\"]\n  31 -> 43 [size =\"16486400\"]\n  31 -> 44 [size =\"16486400\"]\n  31 -> 45 [size =\"16486400\"]\n  32 [size=\"94691840\", alpha=\"0.19\", expect_size=\"37876736\"] \n  32 -> 41 [size =\"37876736\"]\n  32 -> 43 [size =\"37876736\"]\n  33 [size=\"78366720\", alpha=\"0.11\", expect_size=\"31346688\"] \n  33 -> 37 [size =\"31346688\"]\n  33 -> 39 [size =\"31346688\"]\n  33 -> 40 [size =\"31346688\"]\n  33 -> 41 [size =\"31346688\"]\n  33 -> 43 [size =\"31346688\"]\n  34 [size=\"25735680\", alpha=\"0.04\", expect_size=\"10294272\"] \n  34 -> 36 [size =\"10294272\"]\n  34 -> 39 [size =\"10294272\"]\n  34 -> 40 [size =\"10294272\"]\n  34 -> 41 [size =\"10294272\"]\n  35 [size=\"121579520\", alpha=\"0.09\", expect_size=\"48631808\"] \n  35 -> 39 [size =\"48631808\"]\n  35 -> 43 [size =\"48631808\"]\n  36 [size=\"128926720\", alpha=\"0.16\", expect_size=\"51570688\"] \n  37 [size=\"25566720\", alpha=\"0.20\", expect_size=\"10226688\"] \n  38 [size=\"86648320\", alpha=\"0.03\", expect_size=\"34659328\"] \n  39 [size=\"69381120\", alpha=\"0.08\", expect_size=\"27752448\"] \n  40 [size=\"111147520\", alpha=\"0.02\", expect_size=\"44459008\"] \n  41 [size=\"121364480\", alpha=\"0.14\", expect_size=\"48545792\"] \n  42 [size=\"65902080\", alpha=\"0.01\", expect_size=\"26360832\"] \n  43 [size=\"60106240\", alpha=\"0.06\", expect_size=\"24042496\"] \n  44 [size=\"127147520\", alpha=\"0.08\", expect_size=\"50859008\"] \n  45 [size=\"31326720\", alpha=\"0.09\", expect_size=\"12530688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47085568\", alpha=\"0.14\", expect_size=\"23542784\"] \n  1 -> 6 [size =\"23542784\"]\n  1 -> 7 [size =\"23542784\"]\n  1 -> 8 [size =\"23542784\"]\n  1 -> 9 [size =\"23542784\"]\n  2 [size=\"20703232\", alpha=\"0.11\", expect_size=\"10351616\"] \n  2 -> 6 [size =\"10351616\"]\n  2 -> 7 [size =\"10351616\"]\n  2 -> 8 [size =\"10351616\"]\n  2 -> 9 [size =\"10351616\"]\n  2 -> 10 [size =\"10351616\"]\n  2 -> 11 [size =\"10351616\"]\n  3 [size=\"61550592\", alpha=\"0.11\", expect_size=\"30775296\"] \n  3 -> 7 [size =\"30775296\"]\n  3 -> 8 [size =\"30775296\"]\n  3 -> 9 [size =\"30775296\"]\n  3 -> 9 [size =\"30775296\"]\n  4 [size=\"47544320\", alpha=\"0.16\", expect_size=\"23772160\"] \n  4 -> 7 [size =\"23772160\"]\n  4 -> 8 [size =\"23772160\"]\n  4 -> 10 [size =\"23772160\"]\n  5 [size=\"39022592\", alpha=\"0.09\", expect_size=\"19511296\"] \n  5 -> 6 [size =\"19511296\"]\n  5 -> 7 [size =\"19511296\"]\n  5 -> 8 [size =\"19511296\"]\n  5 -> 9 [size =\"19511296\"]\n  6 [size=\"18896896\", alpha=\"0.15\", expect_size=\"9448448\"] \n  6 -> 12 [size =\"9448448\"]\n  6 -> 16 [size =\"9448448\"]\n  6 -> 17 [size =\"9448448\"]\n  7 [size=\"16058368\", alpha=\"0.17\", expect_size=\"8029184\"] \n  7 -> 13 [size =\"8029184\"]\n  7 -> 14 [size =\"8029184\"]\n  7 -> 16 [size =\"8029184\"]\n  7 -> 17 [size =\"8029184\"]\n  8 [size=\"66234368\", alpha=\"0.07\", expect_size=\"33117184\"] \n  8 -> 13 [size =\"33117184\"]\n  8 -> 14 [size =\"33117184\"]\n  8 -> 16 [size =\"33117184\"]\n  8 -> 17 [size =\"33117184\"]\n  9 [size=\"32976896\", alpha=\"0.18\", expect_size=\"16488448\"] \n  9 -> 13 [size =\"16488448\"]\n  9 -> 15 [size =\"16488448\"]\n  9 -> 16 [size =\"16488448\"]\n  9 -> 17 [size =\"16488448\"]\n  10 [size=\"77129728\", alpha=\"0.06\", expect_size=\"38564864\"] \n  10 -> 14 [size =\"38564864\"]\n  10 -> 15 [size =\"38564864\"]\n  10 -> 16 [size =\"38564864\"]\n  10 -> 17 [size =\"38564864\"]\n  11 [size=\"10991616\", alpha=\"0.12\", expect_size=\"5495808\"] \n  11 -> 12 [size =\"5495808\"]\n  12 [size=\"76091392\", alpha=\"0.16\", expect_size=\"38045696\"] \n  12 -> 21 [size =\"38045696\"]\n  13 [size=\"35098624\", alpha=\"0.13\", expect_size=\"17549312\"] \n  13 -> 19 [size =\"17549312\"]\n  13 -> 20 [size =\"17549312\"]\n  13 -> 21 [size =\"17549312\"]\n  14 [size=\"86142976\", alpha=\"0.15\", expect_size=\"43071488\"] \n  14 -> 18 [size =\"43071488\"]\n  15 [size=\"66514944\", alpha=\"0.20\", expect_size=\"33257472\"] \n  15 -> 20 [size =\"33257472\"]\n  15 -> 21 [size =\"33257472\"]\n  16 [size=\"16113664\", alpha=\"0.18\", expect_size=\"8056832\"] \n  16 -> 21 [size =\"8056832\"]\n  17 [size=\"86388736\", alpha=\"0.15\", expect_size=\"43194368\"] \n  17 -> 21 [size =\"43194368\"]\n  18 [size=\"70576128\", alpha=\"0.17\", expect_size=\"35288064\"] \n  18 -> 23 [size =\"35288064\"]\n  18 -> 25 [size =\"35288064\"]\n  18 -> 26 [size =\"35288064\"]\n  19 [size=\"104822784\", alpha=\"0.02\", expect_size=\"52411392\"] \n  19 -> 24 [size =\"52411392\"]\n  19 -> 25 [size =\"52411392\"]\n  19 -> 26 [size =\"52411392\"]\n  20 [size=\"94418944\", alpha=\"0.07\", expect_size=\"47209472\"] \n  20 -> 22 [size =\"47209472\"]\n  20 -> 23 [size =\"47209472\"]\n  20 -> 24 [size =\"47209472\"]\n  20 -> 26 [size =\"47209472\"]\n  21 [size=\"29597696\", alpha=\"0.19\", expect_size=\"14798848\"] \n  21 -> 23 [size =\"14798848\"]\n  21 -> 23 [size =\"14798848\"]\n  21 -> 25 [size =\"14798848\"]\n  21 -> 26 [size =\"14798848\"]\n  21 -> 27 [size =\"14798848\"]\n  22 [size=\"87482368\", alpha=\"0.14\", expect_size=\"43741184\"] \n  22 -> 28 [size =\"43741184\"]\n  22 -> 31 [size =\"43741184\"]\n  22 -> 31 [size =\"43741184\"]\n  23 [size=\"66732032\", alpha=\"0.19\", expect_size=\"33366016\"] \n  23 -> 28 [size =\"33366016\"]\n  23 -> 32 [size =\"33366016\"]\n  24 [size=\"31887360\", alpha=\"0.13\", expect_size=\"15943680\"] \n  24 -> 28 [size =\"15943680\"]\n  24 -> 29 [size =\"15943680\"]\n  24 -> 30 [size =\"15943680\"]\n  24 -> 31 [size =\"15943680\"]\n  24 -> 32 [size =\"15943680\"]\n  25 [size=\"103778304\", alpha=\"0.12\", expect_size=\"51889152\"] \n  25 -> 28 [size =\"51889152\"]\n  25 -> 30 [size =\"51889152\"]\n  25 -> 31 [size =\"51889152\"]\n  25 -> 32 [size =\"51889152\"]\n  25 -> 32 [size =\"51889152\"]\n  26 [size=\"103299072\", alpha=\"0.13\", expect_size=\"51649536\"] \n  26 -> 29 [size =\"51649536\"]\n  26 -> 31 [size =\"51649536\"]\n  27 [size=\"92899328\", alpha=\"0.15\", expect_size=\"46449664\"] \n  27 -> 28 [size =\"46449664\"]\n  27 -> 29 [size =\"46449664\"]\n  27 -> 31 [size =\"46449664\"]\n  27 -> 32 [size =\"46449664\"]\n  28 [size=\"67721216\", alpha=\"0.09\", expect_size=\"33860608\"] \n  28 -> 35 [size =\"33860608\"]\n  28 -> 36 [size =\"33860608\"]\n  28 -> 37 [size =\"33860608\"]\n  28 -> 38 [size =\"33860608\"]\n  28 -> 39 [size =\"33860608\"]\n  29 [size=\"54540288\", alpha=\"0.08\", expect_size=\"27270144\"] \n  29 -> 34 [size =\"27270144\"]\n  29 -> 35 [size =\"27270144\"]\n  29 -> 36 [size =\"27270144\"]\n  29 -> 37 [size =\"27270144\"]\n  29 -> 39 [size =\"27270144\"]\n  30 [size=\"64514048\", alpha=\"0.01\", expect_size=\"32257024\"] \n  30 -> 36 [size =\"32257024\"]\n  30 -> 37 [size =\"32257024\"]\n  30 -> 39 [size =\"32257024\"]\n  31 [size=\"96583680\", alpha=\"0.14\", expect_size=\"48291840\"] \n  31 -> 33 [size =\"48291840\"]\n  31 -> 34 [size =\"48291840\"]\n  31 -> 35 [size =\"48291840\"]\n  31 -> 36 [size =\"48291840\"]\n  32 [size=\"92979200\", alpha=\"0.01\", expect_size=\"46489600\"] \n  32 -> 33 [size =\"46489600\"]\n  32 -> 34 [size =\"46489600\"]\n  32 -> 35 [size =\"46489600\"]\n  32 -> 38 [size =\"46489600\"]\n  33 [size=\"63918080\", alpha=\"0.14\", expect_size=\"31959040\"] \n  33 -> 40 [size =\"31959040\"]\n  33 -> 44 [size =\"31959040\"]\n  34 [size=\"60469248\", alpha=\"0.02\", expect_size=\"30234624\"] \n  34 -> 40 [size =\"30234624\"]\n  35 [size=\"25319424\", alpha=\"0.02\", expect_size=\"12659712\"] \n  35 -> 44 [size =\"12659712\"]\n  36 [size=\"81381376\", alpha=\"0.03\", expect_size=\"40690688\"] \n  36 -> 40 [size =\"40690688\"]\n  36 -> 41 [size =\"40690688\"]\n  36 -> 42 [size =\"40690688\"]\n  37 [size=\"48320512\", alpha=\"0.01\", expect_size=\"24160256\"] \n  37 -> 40 [size =\"24160256\"]\n  38 [size=\"26083328\", alpha=\"0.11\", expect_size=\"13041664\"] \n  38 -> 40 [size =\"13041664\"]\n  38 -> 43 [size =\"13041664\"]\n  39 [size=\"70418432\", alpha=\"0.01\", expect_size=\"35209216\"] \n  39 -> 40 [size =\"35209216\"]\n  39 -> 43 [size =\"35209216\"]\n  40 [size=\"15073280\", alpha=\"0.09\", expect_size=\"7536640\"] \n  41 [size=\"21067776\", alpha=\"0.01\", expect_size=\"10533888\"] \n  42 [size=\"88905728\", alpha=\"0.09\", expect_size=\"44452864\"] \n  42 -> 45 [size =\"44452864\"]\n  43 [size=\"95451136\", alpha=\"0.09\", expect_size=\"47725568\"] \n  44 [size=\"65318912\", alpha=\"0.14\", expect_size=\"32659456\"] \n  45 [size=\"74164224\", alpha=\"0.19\", expect_size=\"37082112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102213120\", alpha=\"0.18\", expect_size=\"40885248\"] \n  1 -> 15 [size =\"40885248\"]\n  1 -> 15 [size =\"40885248\"]\n  1 -> 16 [size =\"40885248\"]\n  1 -> 18 [size =\"40885248\"]\n  1 -> 19 [size =\"40885248\"]\n  1 -> 20 [size =\"40885248\"]\n  1 -> 22 [size =\"40885248\"]\n  1 -> 22 [size =\"40885248\"]\n  1 -> 25 [size =\"40885248\"]\n  2 [size=\"96517120\", alpha=\"0.08\", expect_size=\"38606848\"] \n  2 -> 16 [size =\"38606848\"]\n  2 -> 18 [size =\"38606848\"]\n  2 -> 19 [size =\"38606848\"]\n  2 -> 20 [size =\"38606848\"]\n  2 -> 21 [size =\"38606848\"]\n  2 -> 22 [size =\"38606848\"]\n  2 -> 22 [size =\"38606848\"]\n  2 -> 24 [size =\"38606848\"]\n  2 -> 25 [size =\"38606848\"]\n  2 -> 28 [size =\"38606848\"]\n  3 [size=\"19320320\", alpha=\"0.10\", expect_size=\"7728128\"] \n  3 -> 16 [size =\"7728128\"]\n  3 -> 19 [size =\"7728128\"]\n  3 -> 20 [size =\"7728128\"]\n  3 -> 20 [size =\"7728128\"]\n  3 -> 22 [size =\"7728128\"]\n  3 -> 24 [size =\"7728128\"]\n  3 -> 27 [size =\"7728128\"]\n  4 [size=\"60940800\", alpha=\"0.01\", expect_size=\"24376320\"] \n  4 -> 16 [size =\"24376320\"]\n  4 -> 18 [size =\"24376320\"]\n  4 -> 20 [size =\"24376320\"]\n  4 -> 23 [size =\"24376320\"]\n  4 -> 24 [size =\"24376320\"]\n  4 -> 28 [size =\"24376320\"]\n  4 -> 29 [size =\"24376320\"]\n  4 -> 31 [size =\"24376320\"]\n  5 [size=\"66654720\", alpha=\"0.11\", expect_size=\"26661888\"] \n  5 -> 15 [size =\"26661888\"]\n  5 -> 24 [size =\"26661888\"]\n  5 -> 28 [size =\"26661888\"]\n  6 [size=\"45140480\", alpha=\"0.19\", expect_size=\"18056192\"] \n  6 -> 15 [size =\"18056192\"]\n  6 -> 17 [size =\"18056192\"]\n  6 -> 18 [size =\"18056192\"]\n  6 -> 19 [size =\"18056192\"]\n  6 -> 20 [size =\"18056192\"]\n  6 -> 22 [size =\"18056192\"]\n  6 -> 25 [size =\"18056192\"]\n  6 -> 29 [size =\"18056192\"]\n  7 [size=\"60520960\", alpha=\"0.14\", expect_size=\"24208384\"] \n  7 -> 15 [size =\"24208384\"]\n  7 -> 17 [size =\"24208384\"]\n  7 -> 18 [size =\"24208384\"]\n  7 -> 19 [size =\"24208384\"]\n  7 -> 22 [size =\"24208384\"]\n  7 -> 22 [size =\"24208384\"]\n  7 -> 24 [size =\"24208384\"]\n  7 -> 25 [size =\"24208384\"]\n  7 -> 30 [size =\"24208384\"]\n  8 [size=\"17566720\", alpha=\"0.03\", expect_size=\"7026688\"] \n  8 -> 14 [size =\"7026688\"]\n  8 -> 16 [size =\"7026688\"]\n  8 -> 18 [size =\"7026688\"]\n  8 -> 19 [size =\"7026688\"]\n  8 -> 21 [size =\"7026688\"]\n  8 -> 25 [size =\"7026688\"]\n  8 -> 30 [size =\"7026688\"]\n  9 [size=\"64737280\", alpha=\"0.09\", expect_size=\"25894912\"] \n  9 -> 15 [size =\"25894912\"]\n  9 -> 18 [size =\"25894912\"]\n  9 -> 18 [size =\"25894912\"]\n  9 -> 19 [size =\"25894912\"]\n  9 -> 20 [size =\"25894912\"]\n  9 -> 25 [size =\"25894912\"]\n  9 -> 30 [size =\"25894912\"]\n  9 -> 31 [size =\"25894912\"]\n  10 [size=\"49469440\", alpha=\"0.06\", expect_size=\"19787776\"] \n  10 -> 14 [size =\"19787776\"]\n  10 -> 15 [size =\"19787776\"]\n  10 -> 16 [size =\"19787776\"]\n  10 -> 18 [size =\"19787776\"]\n  10 -> 19 [size =\"19787776\"]\n  10 -> 21 [size =\"19787776\"]\n  10 -> 23 [size =\"19787776\"]\n  10 -> 25 [size =\"19787776\"]\n  10 -> 26 [size =\"19787776\"]\n  10 -> 27 [size =\"19787776\"]\n  10 -> 31 [size =\"19787776\"]\n  11 [size=\"20019200\", alpha=\"0.14\", expect_size=\"8007680\"] \n  11 -> 16 [size =\"8007680\"]\n  11 -> 18 [size =\"8007680\"]\n  11 -> 19 [size =\"8007680\"]\n  11 -> 21 [size =\"8007680\"]\n  11 -> 22 [size =\"8007680\"]\n  11 -> 25 [size =\"8007680\"]\n  11 -> 27 [size =\"8007680\"]\n  11 -> 30 [size =\"8007680\"]\n  12 [size=\"126963200\", alpha=\"0.04\", expect_size=\"50785280\"] \n  12 -> 15 [size =\"50785280\"]\n  12 -> 16 [size =\"50785280\"]\n  12 -> 17 [size =\"50785280\"]\n  12 -> 18 [size =\"50785280\"]\n  12 -> 19 [size =\"50785280\"]\n  12 -> 20 [size =\"50785280\"]\n  12 -> 22 [size =\"50785280\"]\n  12 -> 25 [size =\"50785280\"]\n  13 [size=\"56983040\", alpha=\"0.11\", expect_size=\"22793216\"] \n  13 -> 14 [size =\"22793216\"]\n  13 -> 15 [size =\"22793216\"]\n  13 -> 16 [size =\"22793216\"]\n  13 -> 18 [size =\"22793216\"]\n  13 -> 19 [size =\"22793216\"]\n  13 -> 20 [size =\"22793216\"]\n  13 -> 21 [size =\"22793216\"]\n  13 -> 22 [size =\"22793216\"]\n  13 -> 25 [size =\"22793216\"]\n  13 -> 28 [size =\"22793216\"]\n  14 [size=\"117114880\", alpha=\"0.06\", expect_size=\"46845952\"] \n  14 -> 32 [size =\"46845952\"]\n  14 -> 33 [size =\"46845952\"]\n  14 -> 37 [size =\"46845952\"]\n  14 -> 38 [size =\"46845952\"]\n  14 -> 39 [size =\"46845952\"]\n  14 -> 40 [size =\"46845952\"]\n  14 -> 43 [size =\"46845952\"]\n  14 -> 44 [size =\"46845952\"]\n  14 -> 45 [size =\"46845952\"]\n  15 [size=\"122355200\", alpha=\"0.00\", expect_size=\"48942080\"] \n  15 -> 32 [size =\"48942080\"]\n  15 -> 33 [size =\"48942080\"]\n  15 -> 39 [size =\"48942080\"]\n  15 -> 40 [size =\"48942080\"]\n  15 -> 44 [size =\"48942080\"]\n  15 -> 45 [size =\"48942080\"]\n  16 [size=\"70960640\", alpha=\"0.19\", expect_size=\"28384256\"] \n  16 -> 33 [size =\"28384256\"]\n  16 -> 33 [size =\"28384256\"]\n  16 -> 36 [size =\"28384256\"]\n  16 -> 39 [size =\"28384256\"]\n  16 -> 41 [size =\"28384256\"]\n  16 -> 42 [size =\"28384256\"]\n  16 -> 43 [size =\"28384256\"]\n  16 -> 44 [size =\"28384256\"]\n  17 [size=\"62804480\", alpha=\"0.12\", expect_size=\"25121792\"] \n  17 -> 33 [size =\"25121792\"]\n  17 -> 35 [size =\"25121792\"]\n  17 -> 36 [size =\"25121792\"]\n  17 -> 38 [size =\"25121792\"]\n  17 -> 39 [size =\"25121792\"]\n  17 -> 41 [size =\"25121792\"]\n  17 -> 42 [size =\"25121792\"]\n  18 [size=\"27578880\", alpha=\"0.09\", expect_size=\"11031552\"] \n  18 -> 32 [size =\"11031552\"]\n  18 -> 33 [size =\"11031552\"]\n  18 -> 34 [size =\"11031552\"]\n  18 -> 35 [size =\"11031552\"]\n  18 -> 36 [size =\"11031552\"]\n  18 -> 38 [size =\"11031552\"]\n  18 -> 39 [size =\"11031552\"]\n  19 [size=\"46016000\", alpha=\"0.19\", expect_size=\"18406400\"] \n  19 -> 38 [size =\"18406400\"]\n  19 -> 39 [size =\"18406400\"]\n  20 [size=\"99210240\", alpha=\"0.19\", expect_size=\"39684096\"] \n  20 -> 32 [size =\"39684096\"]\n  20 -> 33 [size =\"39684096\"]\n  20 -> 37 [size =\"39684096\"]\n  20 -> 38 [size =\"39684096\"]\n  21 [size=\"17326080\", alpha=\"0.15\", expect_size=\"6930432\"] \n  21 -> 32 [size =\"6930432\"]\n  21 -> 33 [size =\"6930432\"]\n  21 -> 38 [size =\"6930432\"]\n  21 -> 43 [size =\"6930432\"]\n  21 -> 44 [size =\"6930432\"]\n  22 [size=\"99768320\", alpha=\"0.04\", expect_size=\"39907328\"] \n  22 -> 32 [size =\"39907328\"]\n  22 -> 33 [size =\"39907328\"]\n  22 -> 37 [size =\"39907328\"]\n  22 -> 38 [size =\"39907328\"]\n  22 -> 40 [size =\"39907328\"]\n  22 -> 42 [size =\"39907328\"]\n  22 -> 43 [size =\"39907328\"]\n  22 -> 44 [size =\"39907328\"]\n  22 -> 45 [size =\"39907328\"]\n  23 [size=\"124518400\", alpha=\"0.15\", expect_size=\"49807360\"] \n  23 -> 32 [size =\"49807360\"]\n  23 -> 38 [size =\"49807360\"]\n  23 -> 41 [size =\"49807360\"]\n  23 -> 44 [size =\"49807360\"]\n  24 [size=\"68610560\", alpha=\"0.14\", expect_size=\"27444224\"] \n  24 -> 32 [size =\"27444224\"]\n  24 -> 38 [size =\"27444224\"]\n  24 -> 44 [size =\"27444224\"]\n  24 -> 45 [size =\"27444224\"]\n  25 [size=\"103132160\", alpha=\"0.01\", expect_size=\"41252864\"] \n  25 -> 32 [size =\"41252864\"]\n  25 -> 33 [size =\"41252864\"]\n  25 -> 38 [size =\"41252864\"]\n  25 -> 41 [size =\"41252864\"]\n  25 -> 44 [size =\"41252864\"]\n  26 [size=\"103370240\", alpha=\"0.15\", expect_size=\"41348096\"] \n  26 -> 32 [size =\"41348096\"]\n  26 -> 33 [size =\"41348096\"]\n  26 -> 35 [size =\"41348096\"]\n  26 -> 36 [size =\"41348096\"]\n  26 -> 38 [size =\"41348096\"]\n  26 -> 41 [size =\"41348096\"]\n  26 -> 42 [size =\"41348096\"]\n  26 -> 44 [size =\"41348096\"]\n  26 -> 45 [size =\"41348096\"]\n  27 [size=\"97600000\", alpha=\"0.16\", expect_size=\"39040000\"] \n  27 -> 32 [size =\"39040000\"]\n  27 -> 38 [size =\"39040000\"]\n  27 -> 39 [size =\"39040000\"]\n  27 -> 42 [size =\"39040000\"]\n  27 -> 44 [size =\"39040000\"]\n  27 -> 45 [size =\"39040000\"]\n  28 [size=\"48407040\", alpha=\"0.18\", expect_size=\"19362816\"] \n  28 -> 32 [size =\"19362816\"]\n  28 -> 33 [size =\"19362816\"]\n  28 -> 37 [size =\"19362816\"]\n  28 -> 38 [size =\"19362816\"]\n  28 -> 39 [size =\"19362816\"]\n  28 -> 40 [size =\"19362816\"]\n  28 -> 45 [size =\"19362816\"]\n  29 [size=\"98885120\", alpha=\"0.09\", expect_size=\"39554048\"] \n  29 -> 33 [size =\"39554048\"]\n  29 -> 33 [size =\"39554048\"]\n  29 -> 38 [size =\"39554048\"]\n  29 -> 38 [size =\"39554048\"]\n  29 -> 39 [size =\"39554048\"]\n  29 -> 43 [size =\"39554048\"]\n  29 -> 44 [size =\"39554048\"]\n  29 -> 45 [size =\"39554048\"]\n  30 [size=\"92495360\", alpha=\"0.06\", expect_size=\"36998144\"] \n  30 -> 33 [size =\"36998144\"]\n  30 -> 34 [size =\"36998144\"]\n  30 -> 38 [size =\"36998144\"]\n  30 -> 39 [size =\"36998144\"]\n  30 -> 40 [size =\"36998144\"]\n  30 -> 43 [size =\"36998144\"]\n  30 -> 45 [size =\"36998144\"]\n  30 -> 45 [size =\"36998144\"]\n  31 [size=\"87974400\", alpha=\"0.04\", expect_size=\"35189760\"] \n  31 -> 32 [size =\"35189760\"]\n  31 -> 33 [size =\"35189760\"]\n  31 -> 39 [size =\"35189760\"]\n  31 -> 44 [size =\"35189760\"]\n  32 [size=\"56465920\", alpha=\"0.01\", expect_size=\"22586368\"] \n  33 [size=\"81377280\", alpha=\"0.06\", expect_size=\"32550912\"] \n  34 [size=\"50964480\", alpha=\"0.09\", expect_size=\"20385792\"] \n  35 [size=\"131020800\", alpha=\"0.10\", expect_size=\"52408320\"] \n  36 [size=\"21209600\", alpha=\"0.00\", expect_size=\"8483840\"] \n  37 [size=\"107453440\", alpha=\"0.20\", expect_size=\"42981376\"] \n  38 [size=\"83276800\", alpha=\"0.01\", expect_size=\"33310720\"] \n  39 [size=\"71104000\", alpha=\"0.09\", expect_size=\"28441600\"] \n  40 [size=\"122567680\", alpha=\"0.11\", expect_size=\"49027072\"] \n  41 [size=\"38103040\", alpha=\"0.13\", expect_size=\"15241216\"] \n  42 [size=\"60551680\", alpha=\"0.11\", expect_size=\"24220672\"] \n  43 [size=\"67837440\", alpha=\"0.07\", expect_size=\"27134976\"] \n  44 [size=\"103841280\", alpha=\"0.12\", expect_size=\"41536512\"] \n  45 [size=\"36641280\", alpha=\"0.13\", expect_size=\"14656512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20023296\", alpha=\"0.06\", expect_size=\"10011648\"] \n  1 -> 4 [size =\"10011648\"]\n  2 [size=\"65718272\", alpha=\"0.01\", expect_size=\"32859136\"] \n  2 -> 4 [size =\"32859136\"]\n  2 -> 6 [size =\"32859136\"]\n  3 [size=\"100620288\", alpha=\"0.16\", expect_size=\"50310144\"] \n  3 -> 5 [size =\"50310144\"]\n  3 -> 6 [size =\"50310144\"]\n  4 [size=\"66109440\", alpha=\"0.14\", expect_size=\"33054720\"] \n  4 -> 8 [size =\"33054720\"]\n  5 [size=\"19429376\", alpha=\"0.09\", expect_size=\"9714688\"] \n  5 -> 7 [size =\"9714688\"]\n  6 [size=\"84000768\", alpha=\"0.07\", expect_size=\"42000384\"] \n  6 -> 7 [size =\"42000384\"]\n  7 [size=\"61810688\", alpha=\"0.06\", expect_size=\"30905344\"] \n  7 -> 10 [size =\"30905344\"]\n  7 -> 11 [size =\"30905344\"]\n  8 [size=\"71782400\", alpha=\"0.10\", expect_size=\"35891200\"] \n  8 -> 9 [size =\"35891200\"]\n  8 -> 11 [size =\"35891200\"]\n  9 [size=\"56762368\", alpha=\"0.04\", expect_size=\"28381184\"] \n  9 -> 12 [size =\"28381184\"]\n  10 [size=\"45166592\", alpha=\"0.02\", expect_size=\"22583296\"] \n  11 [size=\"100005888\", alpha=\"0.05\", expect_size=\"50002944\"] \n  11 -> 12 [size =\"50002944\"]\n  11 -> 13 [size =\"50002944\"]\n  11 -> 14 [size =\"50002944\"]\n  12 [size=\"32362496\", alpha=\"0.06\", expect_size=\"16181248\"] \n  12 -> 15 [size =\"16181248\"]\n  13 [size=\"37107712\", alpha=\"0.06\", expect_size=\"18553856\"] \n  14 [size=\"20039680\", alpha=\"0.13\", expect_size=\"10019840\"] \n  14 -> 15 [size =\"10019840\"]\n  14 -> 16 [size =\"10019840\"]\n  15 [size=\"88170496\", alpha=\"0.14\", expect_size=\"44085248\"] \n  15 -> 17 [size =\"44085248\"]\n  15 -> 19 [size =\"44085248\"]\n  16 [size=\"35377152\", alpha=\"0.03\", expect_size=\"17688576\"] \n  16 -> 18 [size =\"17688576\"]\n  17 [size=\"67553280\", alpha=\"0.18\", expect_size=\"33776640\"] \n  17 -> 20 [size =\"33776640\"]\n  18 [size=\"93577216\", alpha=\"0.14\", expect_size=\"46788608\"] \n  19 [size=\"46823424\", alpha=\"0.07\", expect_size=\"23411712\"] \n  19 -> 20 [size =\"23411712\"]\n  19 -> 21 [size =\"23411712\"]\n  20 [size=\"67655680\", alpha=\"0.10\", expect_size=\"33827840\"] \n  20 -> 23 [size =\"33827840\"]\n  21 [size=\"77426688\", alpha=\"0.16\", expect_size=\"38713344\"] \n  21 -> 22 [size =\"38713344\"]\n  21 -> 23 [size =\"38713344\"]\n  22 [size=\"103182336\", alpha=\"0.13\", expect_size=\"51591168\"] \n  22 -> 24 [size =\"51591168\"]\n  22 -> 25 [size =\"51591168\"]\n  23 [size=\"36820992\", alpha=\"0.09\", expect_size=\"18410496\"] \n  23 -> 25 [size =\"18410496\"]\n  24 [size=\"66052096\", alpha=\"0.17\", expect_size=\"33026048\"] \n  24 -> 26 [size =\"33026048\"]\n  24 -> 28 [size =\"33026048\"]\n  25 [size=\"33699840\", alpha=\"0.07\", expect_size=\"16849920\"] \n  25 -> 27 [size =\"16849920\"]\n  26 [size=\"101597184\", alpha=\"0.13\", expect_size=\"50798592\"] \n  27 [size=\"20543488\", alpha=\"0.09\", expect_size=\"10271744\"] \n  27 -> 29 [size =\"10271744\"]\n  27 -> 30 [size =\"10271744\"]\n  27 -> 31 [size =\"10271744\"]\n  28 [size=\"12552192\", alpha=\"0.19\", expect_size=\"6276096\"] \n  28 -> 31 [size =\"6276096\"]\n  29 [size=\"79779840\", alpha=\"0.18\", expect_size=\"39889920\"] \n  30 [size=\"18333696\", alpha=\"0.04\", expect_size=\"9166848\"] \n  30 -> 34 [size =\"9166848\"]\n  31 [size=\"67407872\", alpha=\"0.10\", expect_size=\"33703936\"] \n  31 -> 32 [size =\"33703936\"]\n  31 -> 33 [size =\"33703936\"]\n  31 -> 34 [size =\"33703936\"]\n  32 [size=\"47800320\", alpha=\"0.20\", expect_size=\"23900160\"] \n  32 -> 35 [size =\"23900160\"]\n  32 -> 36 [size =\"23900160\"]\n  33 [size=\"14745600\", alpha=\"0.16\", expect_size=\"7372800\"] \n  33 -> 37 [size =\"7372800\"]\n  34 [size=\"58376192\", alpha=\"0.14\", expect_size=\"29188096\"] \n  34 -> 36 [size =\"29188096\"]\n  34 -> 37 [size =\"29188096\"]\n  35 [size=\"45572096\", alpha=\"0.08\", expect_size=\"22786048\"] \n  35 -> 38 [size =\"22786048\"]\n  35 -> 39 [size =\"22786048\"]\n  35 -> 40 [size =\"22786048\"]\n  36 [size=\"79652864\", alpha=\"0.07\", expect_size=\"39826432\"] \n  37 [size=\"45389824\", alpha=\"0.19\", expect_size=\"22694912\"] \n  37 -> 38 [size =\"22694912\"]\n  37 -> 39 [size =\"22694912\"]\n  38 [size=\"88479744\", alpha=\"0.08\", expect_size=\"44239872\"] \n  39 [size=\"81477632\", alpha=\"0.05\", expect_size=\"40738816\"] \n  39 -> 42 [size =\"40738816\"]\n  40 [size=\"70662144\", alpha=\"0.14\", expect_size=\"35331072\"] \n  40 -> 41 [size =\"35331072\"]\n  40 -> 42 [size =\"35331072\"]\n  40 -> 43 [size =\"35331072\"]\n  41 [size=\"90712064\", alpha=\"0.18\", expect_size=\"45356032\"] \n  42 [size=\"42407936\", alpha=\"0.00\", expect_size=\"21203968\"] \n  42 -> 45 [size =\"21203968\"]\n  43 [size=\"42000384\", alpha=\"0.09\", expect_size=\"21000192\"] \n  43 -> 44 [size =\"21000192\"]\n  44 [size=\"21739520\", alpha=\"0.09\", expect_size=\"10869760\"] \n  45 [size=\"85553152\", alpha=\"0.14\", expect_size=\"42776576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69933056\", alpha=\"0.03\", expect_size=\"34966528\"] \n  1 -> 18 [size =\"34966528\"]\n  1 -> 19 [size =\"34966528\"]\n  1 -> 22 [size =\"34966528\"]\n  1 -> 29 [size =\"34966528\"]\n  2 [size=\"75802624\", alpha=\"0.08\", expect_size=\"37901312\"] \n  2 -> 16 [size =\"37901312\"]\n  2 -> 19 [size =\"37901312\"]\n  2 -> 20 [size =\"37901312\"]\n  2 -> 22 [size =\"37901312\"]\n  2 -> 24 [size =\"37901312\"]\n  3 [size=\"91211776\", alpha=\"0.00\", expect_size=\"45605888\"] \n  3 -> 16 [size =\"45605888\"]\n  3 -> 18 [size =\"45605888\"]\n  3 -> 23 [size =\"45605888\"]\n  3 -> 27 [size =\"45605888\"]\n  4 [size=\"102533120\", alpha=\"0.16\", expect_size=\"51266560\"] \n  4 -> 16 [size =\"51266560\"]\n  4 -> 19 [size =\"51266560\"]\n  4 -> 23 [size =\"51266560\"]\n  4 -> 24 [size =\"51266560\"]\n  4 -> 25 [size =\"51266560\"]\n  5 [size=\"51806208\", alpha=\"0.01\", expect_size=\"25903104\"] \n  5 -> 16 [size =\"25903104\"]\n  5 -> 23 [size =\"25903104\"]\n  5 -> 25 [size =\"25903104\"]\n  6 [size=\"67018752\", alpha=\"0.02\", expect_size=\"33509376\"] \n  6 -> 23 [size =\"33509376\"]\n  6 -> 23 [size =\"33509376\"]\n  6 -> 24 [size =\"33509376\"]\n  6 -> 26 [size =\"33509376\"]\n  6 -> 27 [size =\"33509376\"]\n  7 [size=\"52606976\", alpha=\"0.09\", expect_size=\"26303488\"] \n  7 -> 20 [size =\"26303488\"]\n  7 -> 23 [size =\"26303488\"]\n  7 -> 24 [size =\"26303488\"]\n  7 -> 25 [size =\"26303488\"]\n  7 -> 26 [size =\"26303488\"]\n  7 -> 29 [size =\"26303488\"]\n  8 [size=\"35596288\", alpha=\"0.04\", expect_size=\"17798144\"] \n  8 -> 19 [size =\"17798144\"]\n  8 -> 24 [size =\"17798144\"]\n  8 -> 24 [size =\"17798144\"]\n  8 -> 25 [size =\"17798144\"]\n  8 -> 26 [size =\"17798144\"]\n  8 -> 28 [size =\"17798144\"]\n  8 -> 29 [size =\"17798144\"]\n  9 [size=\"94736384\", alpha=\"0.16\", expect_size=\"47368192\"] \n  9 -> 16 [size =\"47368192\"]\n  9 -> 19 [size =\"47368192\"]\n  9 -> 24 [size =\"47368192\"]\n  9 -> 25 [size =\"47368192\"]\n  9 -> 28 [size =\"47368192\"]\n  9 -> 28 [size =\"47368192\"]\n  9 -> 29 [size =\"47368192\"]\n  10 [size=\"88340480\", alpha=\"0.15\", expect_size=\"44170240\"] \n  10 -> 16 [size =\"44170240\"]\n  10 -> 20 [size =\"44170240\"]\n  10 -> 25 [size =\"44170240\"]\n  10 -> 25 [size =\"44170240\"]\n  10 -> 27 [size =\"44170240\"]\n  10 -> 29 [size =\"44170240\"]\n  11 [size=\"44619776\", alpha=\"0.11\", expect_size=\"22309888\"] \n  11 -> 16 [size =\"22309888\"]\n  11 -> 17 [size =\"22309888\"]\n  11 -> 19 [size =\"22309888\"]\n  11 -> 20 [size =\"22309888\"]\n  11 -> 21 [size =\"22309888\"]\n  11 -> 25 [size =\"22309888\"]\n  11 -> 29 [size =\"22309888\"]\n  12 [size=\"58984448\", alpha=\"0.13\", expect_size=\"29492224\"] \n  12 -> 16 [size =\"29492224\"]\n  12 -> 18 [size =\"29492224\"]\n  12 -> 19 [size =\"29492224\"]\n  12 -> 22 [size =\"29492224\"]\n  12 -> 23 [size =\"29492224\"]\n  12 -> 26 [size =\"29492224\"]\n  12 -> 29 [size =\"29492224\"]\n  13 [size=\"96030720\", alpha=\"0.06\", expect_size=\"48015360\"] \n  13 -> 16 [size =\"48015360\"]\n  13 -> 18 [size =\"48015360\"]\n  13 -> 19 [size =\"48015360\"]\n  13 -> 23 [size =\"48015360\"]\n  13 -> 23 [size =\"48015360\"]\n  13 -> 26 [size =\"48015360\"]\n  13 -> 27 [size =\"48015360\"]\n  13 -> 29 [size =\"48015360\"]\n  14 [size=\"97171456\", alpha=\"0.07\", expect_size=\"48585728\"] \n  14 -> 18 [size =\"48585728\"]\n  14 -> 19 [size =\"48585728\"]\n  14 -> 23 [size =\"48585728\"]\n  14 -> 25 [size =\"48585728\"]\n  14 -> 29 [size =\"48585728\"]\n  15 [size=\"77731840\", alpha=\"0.19\", expect_size=\"38865920\"] \n  15 -> 18 [size =\"38865920\"]\n  15 -> 22 [size =\"38865920\"]\n  15 -> 23 [size =\"38865920\"]\n  16 [size=\"82106368\", alpha=\"0.13\", expect_size=\"41053184\"] \n  16 -> 31 [size =\"41053184\"]\n  16 -> 32 [size =\"41053184\"]\n  16 -> 33 [size =\"41053184\"]\n  16 -> 34 [size =\"41053184\"]\n  16 -> 39 [size =\"41053184\"]\n  16 -> 40 [size =\"41053184\"]\n  16 -> 41 [size =\"41053184\"]\n  16 -> 43 [size =\"41053184\"]\n  17 [size=\"93536256\", alpha=\"0.07\", expect_size=\"46768128\"] \n  17 -> 30 [size =\"46768128\"]\n  17 -> 32 [size =\"46768128\"]\n  17 -> 33 [size =\"46768128\"]\n  17 -> 35 [size =\"46768128\"]\n  17 -> 37 [size =\"46768128\"]\n  17 -> 38 [size =\"46768128\"]\n  17 -> 39 [size =\"46768128\"]\n  17 -> 40 [size =\"46768128\"]\n  17 -> 44 [size =\"46768128\"]\n  18 [size=\"42465280\", alpha=\"0.07\", expect_size=\"21232640\"] \n  18 -> 31 [size =\"21232640\"]\n  18 -> 39 [size =\"21232640\"]\n  18 -> 40 [size =\"21232640\"]\n  18 -> 41 [size =\"21232640\"]\n  18 -> 44 [size =\"21232640\"]\n  19 [size=\"63481856\", alpha=\"0.11\", expect_size=\"31740928\"] \n  19 -> 40 [size =\"31740928\"]\n  19 -> 41 [size =\"31740928\"]\n  19 -> 43 [size =\"31740928\"]\n  19 -> 44 [size =\"31740928\"]\n  20 [size=\"42317824\", alpha=\"0.06\", expect_size=\"21158912\"] \n  20 -> 33 [size =\"21158912\"]\n  20 -> 36 [size =\"21158912\"]\n  20 -> 38 [size =\"21158912\"]\n  20 -> 39 [size =\"21158912\"]\n  20 -> 41 [size =\"21158912\"]\n  21 [size=\"17491968\", alpha=\"0.13\", expect_size=\"8745984\"] \n  21 -> 34 [size =\"8745984\"]\n  21 -> 39 [size =\"8745984\"]\n  21 -> 41 [size =\"8745984\"]\n  21 -> 43 [size =\"8745984\"]\n  21 -> 44 [size =\"8745984\"]\n  22 [size=\"67241984\", alpha=\"0.13\", expect_size=\"33620992\"] \n  22 -> 30 [size =\"33620992\"]\n  22 -> 32 [size =\"33620992\"]\n  22 -> 39 [size =\"33620992\"]\n  23 [size=\"34813952\", alpha=\"0.11\", expect_size=\"17406976\"] \n  23 -> 30 [size =\"17406976\"]\n  23 -> 32 [size =\"17406976\"]\n  23 -> 33 [size =\"17406976\"]\n  23 -> 35 [size =\"17406976\"]\n  23 -> 36 [size =\"17406976\"]\n  23 -> 38 [size =\"17406976\"]\n  23 -> 39 [size =\"17406976\"]\n  23 -> 42 [size =\"17406976\"]\n  24 [size=\"64473088\", alpha=\"0.09\", expect_size=\"32236544\"] \n  24 -> 31 [size =\"32236544\"]\n  24 -> 32 [size =\"32236544\"]\n  24 -> 33 [size =\"32236544\"]\n  24 -> 34 [size =\"32236544\"]\n  24 -> 36 [size =\"32236544\"]\n  24 -> 37 [size =\"32236544\"]\n  24 -> 41 [size =\"32236544\"]\n  25 [size=\"95225856\", alpha=\"0.15\", expect_size=\"47612928\"] \n  25 -> 31 [size =\"47612928\"]\n  25 -> 34 [size =\"47612928\"]\n  25 -> 36 [size =\"47612928\"]\n  25 -> 41 [size =\"47612928\"]\n  25 -> 43 [size =\"47612928\"]\n  26 [size=\"90339328\", alpha=\"0.13\", expect_size=\"45169664\"] \n  26 -> 35 [size =\"45169664\"]\n  26 -> 37 [size =\"45169664\"]\n  26 -> 40 [size =\"45169664\"]\n  27 [size=\"59174912\", alpha=\"0.20\", expect_size=\"29587456\"] \n  27 -> 34 [size =\"29587456\"]\n  27 -> 43 [size =\"29587456\"]\n  27 -> 44 [size =\"29587456\"]\n  28 [size=\"92889088\", alpha=\"0.12\", expect_size=\"46444544\"] \n  28 -> 35 [size =\"46444544\"]\n  28 -> 44 [size =\"46444544\"]\n  29 [size=\"31985664\", alpha=\"0.03\", expect_size=\"15992832\"] \n  29 -> 33 [size =\"15992832\"]\n  29 -> 39 [size =\"15992832\"]\n  29 -> 40 [size =\"15992832\"]\n  29 -> 41 [size =\"15992832\"]\n  29 -> 43 [size =\"15992832\"]\n  30 [size=\"85161984\", alpha=\"0.09\", expect_size=\"42580992\"] \n  31 [size=\"17240064\", alpha=\"0.03\", expect_size=\"8620032\"] \n  32 [size=\"76410880\", alpha=\"0.08\", expect_size=\"38205440\"] \n  32 -> 45 [size =\"38205440\"]\n  33 [size=\"44875776\", alpha=\"0.10\", expect_size=\"22437888\"] \n  34 [size=\"97734656\", alpha=\"0.11\", expect_size=\"48867328\"] \n  35 [size=\"43919360\", alpha=\"0.06\", expect_size=\"21959680\"] \n  35 -> 45 [size =\"21959680\"]\n  36 [size=\"19124224\", alpha=\"0.16\", expect_size=\"9562112\"] \n  37 [size=\"79882240\", alpha=\"0.04\", expect_size=\"39941120\"] \n  37 -> 45 [size =\"39941120\"]\n  38 [size=\"79572992\", alpha=\"0.18\", expect_size=\"39786496\"] \n  38 -> 45 [size =\"39786496\"]\n  39 [size=\"43307008\", alpha=\"0.04\", expect_size=\"21653504\"] \n  39 -> 45 [size =\"21653504\"]\n  40 [size=\"55336960\", alpha=\"0.16\", expect_size=\"27668480\"] \n  41 [size=\"99145728\", alpha=\"0.10\", expect_size=\"49572864\"] \n  41 -> 45 [size =\"49572864\"]\n  42 [size=\"20125696\", alpha=\"0.17\", expect_size=\"10062848\"] \n  43 [size=\"55519232\", alpha=\"0.08\", expect_size=\"27759616\"] \n  44 [size=\"102127616\", alpha=\"0.10\", expect_size=\"51063808\"] \n  45 [size=\"57896960\", alpha=\"0.11\", expect_size=\"28948480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26996053\", alpha=\"0.10\", expect_size=\"8098816\"] \n  1 -> 8 [size =\"8098816\"]\n  1 -> 9 [size =\"8098816\"]\n  2 [size=\"66717013\", alpha=\"0.10\", expect_size=\"20015104\"] \n  2 -> 10 [size =\"20015104\"]\n  3 [size=\"50705067\", alpha=\"0.13\", expect_size=\"15211520\"] \n  3 -> 8 [size =\"15211520\"]\n  3 -> 10 [size =\"15211520\"]\n  4 [size=\"85166080\", alpha=\"0.17\", expect_size=\"25549824\"] \n  4 -> 7 [size =\"25549824\"]\n  4 -> 10 [size =\"25549824\"]\n  5 [size=\"53118293\", alpha=\"0.18\", expect_size=\"15935488\"] \n  5 -> 9 [size =\"15935488\"]\n  6 [size=\"161283413\", alpha=\"0.18\", expect_size=\"48385024\"] \n  7 [size=\"34611200\", alpha=\"0.17\", expect_size=\"10383360\"] \n  8 [size=\"17739093\", alpha=\"0.03\", expect_size=\"5321728\"] \n  8 -> 11 [size =\"5321728\"]\n  8 -> 12 [size =\"5321728\"]\n  9 [size=\"27924480\", alpha=\"0.03\", expect_size=\"8377344\"] \n  9 -> 12 [size =\"8377344\"]\n  10 [size=\"142684160\", alpha=\"0.09\", expect_size=\"42805248\"] \n  10 -> 11 [size =\"42805248\"]\n  10 -> 13 [size =\"42805248\"]\n  11 [size=\"101376000\", alpha=\"0.06\", expect_size=\"30412800\"] \n  11 -> 16 [size =\"30412800\"]\n  12 [size=\"19309227\", alpha=\"0.08\", expect_size=\"5792768\"] \n  12 -> 14 [size =\"5792768\"]\n  12 -> 15 [size =\"5792768\"]\n  12 -> 17 [size =\"5792768\"]\n  12 -> 18 [size =\"5792768\"]\n  12 -> 19 [size =\"5792768\"]\n  12 -> 20 [size =\"5792768\"]\n  13 [size=\"96457387\", alpha=\"0.13\", expect_size=\"28937216\"] \n  13 -> 15 [size =\"28937216\"]\n  13 -> 18 [size =\"28937216\"]\n  14 [size=\"40717653\", alpha=\"0.12\", expect_size=\"12215296\"] \n  14 -> 21 [size =\"12215296\"]\n  14 -> 22 [size =\"12215296\"]\n  14 -> 23 [size =\"12215296\"]\n  14 -> 26 [size =\"12215296\"]\n  14 -> 28 [size =\"12215296\"]\n  15 [size=\"18670933\", alpha=\"0.09\", expect_size=\"5601280\"] \n  15 -> 21 [size =\"5601280\"]\n  15 -> 24 [size =\"5601280\"]\n  15 -> 25 [size =\"5601280\"]\n  16 [size=\"163665920\", alpha=\"0.13\", expect_size=\"49099776\"] \n  16 -> 25 [size =\"49099776\"]\n  16 -> 27 [size =\"49099776\"]\n  17 [size=\"149108053\", alpha=\"0.15\", expect_size=\"44732416\"] \n  17 -> 23 [size =\"44732416\"]\n  18 [size=\"121606827\", alpha=\"0.09\", expect_size=\"36482048\"] \n  18 -> 21 [size =\"36482048\"]\n  18 -> 23 [size =\"36482048\"]\n  18 -> 24 [size =\"36482048\"]\n  18 -> 25 [size =\"36482048\"]\n  18 -> 27 [size =\"36482048\"]\n  19 [size=\"146302293\", alpha=\"0.17\", expect_size=\"43890688\"] \n  19 -> 24 [size =\"43890688\"]\n  19 -> 27 [size =\"43890688\"]\n  20 [size=\"170280960\", alpha=\"0.12\", expect_size=\"51084288\"] \n  20 -> 27 [size =\"51084288\"]\n  21 [size=\"80892587\", alpha=\"0.09\", expect_size=\"24267776\"] \n  21 -> 31 [size =\"24267776\"]\n  21 -> 32 [size =\"24267776\"]\n  22 [size=\"128505173\", alpha=\"0.12\", expect_size=\"38551552\"] \n  22 -> 29 [size =\"38551552\"]\n  22 -> 32 [size =\"38551552\"]\n  22 -> 33 [size =\"38551552\"]\n  23 [size=\"30644907\", alpha=\"0.19\", expect_size=\"9193472\"] \n  24 [size=\"136762027\", alpha=\"0.14\", expect_size=\"41028608\"] \n  25 [size=\"72690347\", alpha=\"0.15\", expect_size=\"21807104\"] \n  25 -> 29 [size =\"21807104\"]\n  25 -> 30 [size =\"21807104\"]\n  25 -> 33 [size =\"21807104\"]\n  25 -> 34 [size =\"21807104\"]\n  26 [size=\"141789867\", alpha=\"0.13\", expect_size=\"42536960\"] \n  26 -> 29 [size =\"42536960\"]\n  26 -> 32 [size =\"42536960\"]\n  26 -> 33 [size =\"42536960\"]\n  26 -> 35 [size =\"42536960\"]\n  27 [size=\"88019627\", alpha=\"0.14\", expect_size=\"26405888\"] \n  27 -> 30 [size =\"26405888\"]\n  28 [size=\"45448533\", alpha=\"0.14\", expect_size=\"13634560\"] \n  28 -> 30 [size =\"13634560\"]\n  28 -> 32 [size =\"13634560\"]\n  28 -> 33 [size =\"13634560\"]\n  28 -> 34 [size =\"13634560\"]\n  29 [size=\"116019200\", alpha=\"0.17\", expect_size=\"34805760\"] \n  29 -> 40 [size =\"34805760\"]\n  30 [size=\"91484160\", alpha=\"0.14\", expect_size=\"27445248\"] \n  31 [size=\"30525440\", alpha=\"0.03\", expect_size=\"9157632\"] \n  32 [size=\"99949227\", alpha=\"0.12\", expect_size=\"29984768\"] \n  32 -> 36 [size =\"29984768\"]\n  32 -> 39 [size =\"29984768\"]\n  33 [size=\"34426880\", alpha=\"0.11\", expect_size=\"10328064\"] \n  33 -> 38 [size =\"10328064\"]\n  33 -> 40 [size =\"10328064\"]\n  34 [size=\"24473600\", alpha=\"0.13\", expect_size=\"7342080\"] \n  34 -> 38 [size =\"7342080\"]\n  34 -> 40 [size =\"7342080\"]\n  35 [size=\"137779200\", alpha=\"0.15\", expect_size=\"41333760\"] \n  35 -> 37 [size =\"41333760\"]\n  36 [size=\"95419733\", alpha=\"0.15\", expect_size=\"28625920\"] \n  36 -> 41 [size =\"28625920\"]\n  36 -> 42 [size =\"28625920\"]\n  36 -> 43 [size =\"28625920\"]\n  37 [size=\"41195520\", alpha=\"0.13\", expect_size=\"12358656\"] \n  37 -> 43 [size =\"12358656\"]\n  37 -> 44 [size =\"12358656\"]\n  38 [size=\"149534720\", alpha=\"0.03\", expect_size=\"44860416\"] \n  38 -> 44 [size =\"44860416\"]\n  39 [size=\"106127360\", alpha=\"0.10\", expect_size=\"31838208\"] \n  39 -> 44 [size =\"31838208\"]\n  40 [size=\"78708053\", alpha=\"0.17\", expect_size=\"23612416\"] \n  40 -> 41 [size =\"23612416\"]\n  40 -> 42 [size =\"23612416\"]\n  40 -> 43 [size =\"23612416\"]\n  41 [size=\"35205120\", alpha=\"0.11\", expect_size=\"10561536\"] \n  42 [size=\"59518293\", alpha=\"0.20\", expect_size=\"17855488\"] \n  43 [size=\"153483947\", alpha=\"0.10\", expect_size=\"46045184\"] \n  43 -> 45 [size =\"46045184\"]\n  44 [size=\"81513813\", alpha=\"0.15\", expect_size=\"24454144\"] \n  45 [size=\"24135680\", alpha=\"0.08\", expect_size=\"7240704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59846656\", alpha=\"0.19\", expect_size=\"29923328\"] \n  1 -> 14 [size =\"29923328\"]\n  1 -> 18 [size =\"29923328\"]\n  1 -> 19 [size =\"29923328\"]\n  1 -> 26 [size =\"29923328\"]\n  2 [size=\"50108416\", alpha=\"0.17\", expect_size=\"25054208\"] \n  2 -> 25 [size =\"25054208\"]\n  2 -> 26 [size =\"25054208\"]\n  2 -> 27 [size =\"25054208\"]\n  3 [size=\"94515200\", alpha=\"0.00\", expect_size=\"47257600\"] \n  3 -> 15 [size =\"47257600\"]\n  3 -> 26 [size =\"47257600\"]\n  4 [size=\"36065280\", alpha=\"0.03\", expect_size=\"18032640\"] \n  4 -> 15 [size =\"18032640\"]\n  4 -> 20 [size =\"18032640\"]\n  4 -> 23 [size =\"18032640\"]\n  4 -> 25 [size =\"18032640\"]\n  4 -> 26 [size =\"18032640\"]\n  5 [size=\"56733696\", alpha=\"0.10\", expect_size=\"28366848\"] \n  5 -> 15 [size =\"28366848\"]\n  5 -> 22 [size =\"28366848\"]\n  5 -> 25 [size =\"28366848\"]\n  6 [size=\"16513024\", alpha=\"0.11\", expect_size=\"8256512\"] \n  6 -> 15 [size =\"8256512\"]\n  6 -> 19 [size =\"8256512\"]\n  6 -> 20 [size =\"8256512\"]\n  6 -> 25 [size =\"8256512\"]\n  6 -> 27 [size =\"8256512\"]\n  7 [size=\"35174400\", alpha=\"0.05\", expect_size=\"17587200\"] \n  7 -> 14 [size =\"17587200\"]\n  7 -> 24 [size =\"17587200\"]\n  7 -> 25 [size =\"17587200\"]\n  8 [size=\"31049728\", alpha=\"0.05\", expect_size=\"15524864\"] \n  8 -> 14 [size =\"15524864\"]\n  8 -> 18 [size =\"15524864\"]\n  8 -> 19 [size =\"15524864\"]\n  8 -> 24 [size =\"15524864\"]\n  9 [size=\"76900352\", alpha=\"0.00\", expect_size=\"38450176\"] \n  9 -> 16 [size =\"38450176\"]\n  9 -> 19 [size =\"38450176\"]\n  9 -> 21 [size =\"38450176\"]\n  9 -> 24 [size =\"38450176\"]\n  10 [size=\"23681024\", alpha=\"0.20\", expect_size=\"11840512\"] \n  10 -> 14 [size =\"11840512\"]\n  10 -> 15 [size =\"11840512\"]\n  10 -> 19 [size =\"11840512\"]\n  10 -> 23 [size =\"11840512\"]\n  10 -> 25 [size =\"11840512\"]\n  11 [size=\"13096960\", alpha=\"0.17\", expect_size=\"6548480\"] \n  11 -> 14 [size =\"6548480\"]\n  11 -> 15 [size =\"6548480\"]\n  11 -> 22 [size =\"6548480\"]\n  11 -> 23 [size =\"6548480\"]\n  11 -> 27 [size =\"6548480\"]\n  12 [size=\"103559168\", alpha=\"0.01\", expect_size=\"51779584\"] \n  12 -> 15 [size =\"51779584\"]\n  12 -> 19 [size =\"51779584\"]\n  12 -> 20 [size =\"51779584\"]\n  12 -> 23 [size =\"51779584\"]\n  13 [size=\"89892864\", alpha=\"0.02\", expect_size=\"44946432\"] \n  13 -> 14 [size =\"44946432\"]\n  13 -> 16 [size =\"44946432\"]\n  13 -> 17 [size =\"44946432\"]\n  13 -> 25 [size =\"44946432\"]\n  13 -> 26 [size =\"44946432\"]\n  14 [size=\"91910144\", alpha=\"0.16\", expect_size=\"45955072\"] \n  14 -> 29 [size =\"45955072\"]\n  14 -> 31 [size =\"45955072\"]\n  14 -> 32 [size =\"45955072\"]\n  14 -> 33 [size =\"45955072\"]\n  14 -> 36 [size =\"45955072\"]\n  14 -> 40 [size =\"45955072\"]\n  15 [size=\"12828672\", alpha=\"0.17\", expect_size=\"6414336\"] \n  15 -> 31 [size =\"6414336\"]\n  15 -> 32 [size =\"6414336\"]\n  15 -> 33 [size =\"6414336\"]\n  15 -> 33 [size =\"6414336\"]\n  15 -> 34 [size =\"6414336\"]\n  15 -> 36 [size =\"6414336\"]\n  16 [size=\"58740736\", alpha=\"0.18\", expect_size=\"29370368\"] \n  16 -> 31 [size =\"29370368\"]\n  16 -> 33 [size =\"29370368\"]\n  16 -> 35 [size =\"29370368\"]\n  16 -> 42 [size =\"29370368\"]\n  17 [size=\"18333696\", alpha=\"0.03\", expect_size=\"9166848\"] \n  17 -> 33 [size =\"9166848\"]\n  17 -> 35 [size =\"9166848\"]\n  17 -> 37 [size =\"9166848\"]\n  17 -> 38 [size =\"9166848\"]\n  17 -> 40 [size =\"9166848\"]\n  18 [size=\"41099264\", alpha=\"0.11\", expect_size=\"20549632\"] \n  18 -> 29 [size =\"20549632\"]\n  18 -> 30 [size =\"20549632\"]\n  18 -> 39 [size =\"20549632\"]\n  18 -> 42 [size =\"20549632\"]\n  19 [size=\"64905216\", alpha=\"0.13\", expect_size=\"32452608\"] \n  19 -> 32 [size =\"32452608\"]\n  19 -> 36 [size =\"32452608\"]\n  19 -> 38 [size =\"32452608\"]\n  19 -> 40 [size =\"32452608\"]\n  19 -> 42 [size =\"32452608\"]\n  20 [size=\"66785280\", alpha=\"0.11\", expect_size=\"33392640\"] \n  20 -> 35 [size =\"33392640\"]\n  20 -> 36 [size =\"33392640\"]\n  20 -> 42 [size =\"33392640\"]\n  21 [size=\"64688128\", alpha=\"0.19\", expect_size=\"32344064\"] \n  22 [size=\"50831360\", alpha=\"0.15\", expect_size=\"25415680\"] \n  22 -> 28 [size =\"25415680\"]\n  22 -> 34 [size =\"25415680\"]\n  22 -> 35 [size =\"25415680\"]\n  23 [size=\"53741568\", alpha=\"0.09\", expect_size=\"26870784\"] \n  23 -> 28 [size =\"26870784\"]\n  23 -> 37 [size =\"26870784\"]\n  24 [size=\"65341440\", alpha=\"0.09\", expect_size=\"32670720\"] \n  24 -> 28 [size =\"32670720\"]\n  24 -> 32 [size =\"32670720\"]\n  24 -> 41 [size =\"32670720\"]\n  25 [size=\"45049856\", alpha=\"0.18\", expect_size=\"22524928\"] \n  25 -> 34 [size =\"22524928\"]\n  25 -> 37 [size =\"22524928\"]\n  25 -> 38 [size =\"22524928\"]\n  25 -> 40 [size =\"22524928\"]\n  26 [size=\"31381504\", alpha=\"0.09\", expect_size=\"15690752\"] \n  26 -> 28 [size =\"15690752\"]\n  26 -> 34 [size =\"15690752\"]\n  26 -> 35 [size =\"15690752\"]\n  26 -> 41 [size =\"15690752\"]\n  27 [size=\"23308288\", alpha=\"0.05\", expect_size=\"11654144\"] \n  27 -> 35 [size =\"11654144\"]\n  28 [size=\"36018176\", alpha=\"0.05\", expect_size=\"18009088\"] \n  29 [size=\"88762368\", alpha=\"0.19\", expect_size=\"44381184\"] \n  30 [size=\"56489984\", alpha=\"0.16\", expect_size=\"28244992\"] \n  30 -> 44 [size =\"28244992\"]\n  31 [size=\"12337152\", alpha=\"0.14\", expect_size=\"6168576\"] \n  31 -> 43 [size =\"6168576\"]\n  32 [size=\"100040704\", alpha=\"0.11\", expect_size=\"50020352\"] \n  32 -> 43 [size =\"50020352\"]\n  33 [size=\"76105728\", alpha=\"0.05\", expect_size=\"38052864\"] \n  34 [size=\"24563712\", alpha=\"0.17\", expect_size=\"12281856\"] \n  34 -> 43 [size =\"12281856\"]\n  34 -> 44 [size =\"12281856\"]\n  35 [size=\"65368064\", alpha=\"0.09\", expect_size=\"32684032\"] \n  36 [size=\"56023040\", alpha=\"0.11\", expect_size=\"28011520\"] \n  36 -> 44 [size =\"28011520\"]\n  37 [size=\"96931840\", alpha=\"0.15\", expect_size=\"48465920\"] \n  37 -> 45 [size =\"48465920\"]\n  38 [size=\"24037376\", alpha=\"0.05\", expect_size=\"12018688\"] \n  38 -> 43 [size =\"12018688\"]\n  39 [size=\"46651392\", alpha=\"0.07\", expect_size=\"23325696\"] \n  39 -> 43 [size =\"23325696\"]\n  39 -> 44 [size =\"23325696\"]\n  40 [size=\"42442752\", alpha=\"0.01\", expect_size=\"21221376\"] \n  40 -> 44 [size =\"21221376\"]\n  41 [size=\"24610816\", alpha=\"0.06\", expect_size=\"12305408\"] \n  42 [size=\"90138624\", alpha=\"0.00\", expect_size=\"45069312\"] \n  43 [size=\"48984064\", alpha=\"0.03\", expect_size=\"24492032\"] \n  44 [size=\"74926080\", alpha=\"0.18\", expect_size=\"37463040\"] \n  45 [size=\"60649472\", alpha=\"0.20\", expect_size=\"30324736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101742080\", alpha=\"0.17\", expect_size=\"40696832\"] \n  1 -> 3 [size =\"40696832\"]\n  2 [size=\"103191040\", alpha=\"0.08\", expect_size=\"41276416\"] \n  2 -> 3 [size =\"41276416\"]\n  3 [size=\"35601920\", alpha=\"0.00\", expect_size=\"14240768\"] \n  3 -> 4 [size =\"14240768\"]\n  3 -> 5 [size =\"14240768\"]\n  4 [size=\"104156160\", alpha=\"0.15\", expect_size=\"41662464\"] \n  4 -> 6 [size =\"41662464\"]\n  4 -> 7 [size =\"41662464\"]\n  4 -> 8 [size =\"41662464\"]\n  5 [size=\"29557760\", alpha=\"0.19\", expect_size=\"11823104\"] \n  5 -> 6 [size =\"11823104\"]\n  6 [size=\"126220800\", alpha=\"0.12\", expect_size=\"50488320\"] \n  6 -> 9 [size =\"50488320\"]\n  6 -> 10 [size =\"50488320\"]\n  7 [size=\"78927360\", alpha=\"0.19\", expect_size=\"31570944\"] \n  8 [size=\"106611200\", alpha=\"0.05\", expect_size=\"42644480\"] \n  8 -> 9 [size =\"42644480\"]\n  9 [size=\"61964800\", alpha=\"0.05\", expect_size=\"24785920\"] \n  9 -> 11 [size =\"24785920\"]\n  9 -> 12 [size =\"24785920\"]\n  9 -> 13 [size =\"24785920\"]\n  10 [size=\"78210560\", alpha=\"0.19\", expect_size=\"31284224\"] \n  10 -> 13 [size =\"31284224\"]\n  11 [size=\"57643520\", alpha=\"0.09\", expect_size=\"23057408\"] \n  11 -> 15 [size =\"23057408\"]\n  11 -> 16 [size =\"23057408\"]\n  12 [size=\"39472640\", alpha=\"0.13\", expect_size=\"15789056\"] \n  12 -> 14 [size =\"15789056\"]\n  12 -> 16 [size =\"15789056\"]\n  13 [size=\"85109760\", alpha=\"0.20\", expect_size=\"34043904\"] \n  13 -> 16 [size =\"34043904\"]\n  14 [size=\"87037440\", alpha=\"0.19\", expect_size=\"34814976\"] \n  14 -> 17 [size =\"34814976\"]\n  14 -> 18 [size =\"34814976\"]\n  14 -> 19 [size =\"34814976\"]\n  15 [size=\"57984000\", alpha=\"0.02\", expect_size=\"23193600\"] \n  16 [size=\"49502720\", alpha=\"0.12\", expect_size=\"19801088\"] \n  16 -> 19 [size =\"19801088\"]\n  16 -> 20 [size =\"19801088\"]\n  17 [size=\"120824320\", alpha=\"0.19\", expect_size=\"48329728\"] \n  17 -> 21 [size =\"48329728\"]\n  18 [size=\"116019200\", alpha=\"0.15\", expect_size=\"46407680\"] \n  19 [size=\"29780480\", alpha=\"0.14\", expect_size=\"11912192\"] \n  20 [size=\"59481600\", alpha=\"0.07\", expect_size=\"23792640\"] \n  20 -> 21 [size =\"23792640\"]\n  20 -> 22 [size =\"23792640\"]\n  21 [size=\"52037120\", alpha=\"0.14\", expect_size=\"20814848\"] \n  21 -> 24 [size =\"20814848\"]\n  22 [size=\"105653760\", alpha=\"0.17\", expect_size=\"42261504\"] \n  22 -> 23 [size =\"42261504\"]\n  22 -> 24 [size =\"42261504\"]\n  23 [size=\"62502400\", alpha=\"0.04\", expect_size=\"25000960\"] \n  23 -> 25 [size =\"25000960\"]\n  23 -> 26 [size =\"25000960\"]\n  24 [size=\"60098560\", alpha=\"0.06\", expect_size=\"24039424\"] \n  24 -> 25 [size =\"24039424\"]\n  24 -> 26 [size =\"24039424\"]\n  25 [size=\"54704640\", alpha=\"0.11\", expect_size=\"21881856\"] \n  25 -> 27 [size =\"21881856\"]\n  26 [size=\"65423360\", alpha=\"0.15\", expect_size=\"26169344\"] \n  26 -> 28 [size =\"26169344\"]\n  27 [size=\"17707520\", alpha=\"0.10\", expect_size=\"7083008\"] \n  27 -> 30 [size =\"7083008\"]\n  27 -> 31 [size =\"7083008\"]\n  28 [size=\"14720000\", alpha=\"0.02\", expect_size=\"5888000\"] \n  28 -> 29 [size =\"5888000\"]\n  28 -> 30 [size =\"5888000\"]\n  29 [size=\"103191040\", alpha=\"0.01\", expect_size=\"41276416\"] \n  29 -> 33 [size =\"41276416\"]\n  30 [size=\"69109760\", alpha=\"0.11\", expect_size=\"27643904\"] \n  30 -> 33 [size =\"27643904\"]\n  31 [size=\"109281280\", alpha=\"0.09\", expect_size=\"43712512\"] \n  31 -> 32 [size =\"43712512\"]\n  32 [size=\"76410880\", alpha=\"0.12\", expect_size=\"30564352\"] \n  32 -> 34 [size =\"30564352\"]\n  32 -> 36 [size =\"30564352\"]\n  32 -> 37 [size =\"30564352\"]\n  33 [size=\"60584960\", alpha=\"0.07\", expect_size=\"24233984\"] \n  33 -> 34 [size =\"24233984\"]\n  33 -> 35 [size =\"24233984\"]\n  33 -> 37 [size =\"24233984\"]\n  34 [size=\"84298240\", alpha=\"0.14\", expect_size=\"33719296\"] \n  35 [size=\"120634880\", alpha=\"0.09\", expect_size=\"48253952\"] \n  36 [size=\"68083200\", alpha=\"0.10\", expect_size=\"27233280\"] \n  36 -> 38 [size =\"27233280\"]\n  37 [size=\"39756800\", alpha=\"0.09\", expect_size=\"15902720\"] \n  37 -> 38 [size =\"15902720\"]\n  38 [size=\"101478400\", alpha=\"0.06\", expect_size=\"40591360\"] \n  38 -> 39 [size =\"40591360\"]\n  38 -> 40 [size =\"40591360\"]\n  38 -> 41 [size =\"40591360\"]\n  39 [size=\"110822400\", alpha=\"0.05\", expect_size=\"44328960\"] \n  39 -> 43 [size =\"44328960\"]\n  39 -> 44 [size =\"44328960\"]\n  40 [size=\"116648960\", alpha=\"0.12\", expect_size=\"46659584\"] \n  40 -> 42 [size =\"46659584\"]\n  41 [size=\"66099200\", alpha=\"0.06\", expect_size=\"26439680\"] \n  41 -> 43 [size =\"26439680\"]\n  42 [size=\"121671680\", alpha=\"0.16\", expect_size=\"48668672\"] \n  42 -> 45 [size =\"48668672\"]\n  43 [size=\"73809920\", alpha=\"0.14\", expect_size=\"29523968\"] \n  44 [size=\"112478720\", alpha=\"0.00\", expect_size=\"44991488\"] \n  44 -> 45 [size =\"44991488\"]\n  45 [size=\"75683840\", alpha=\"0.13\", expect_size=\"30273536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72718336\", alpha=\"0.03\", expect_size=\"36359168\"] \n  1 -> 4 [size =\"36359168\"]\n  1 -> 5 [size =\"36359168\"]\n  2 [size=\"50001920\", alpha=\"0.13\", expect_size=\"25000960\"] \n  3 [size=\"82352128\", alpha=\"0.19\", expect_size=\"41176064\"] \n  3 -> 4 [size =\"41176064\"]\n  4 [size=\"19795968\", alpha=\"0.11\", expect_size=\"9897984\"] \n  4 -> 7 [size =\"9897984\"]\n  4 -> 8 [size =\"9897984\"]\n  5 [size=\"65832960\", alpha=\"0.20\", expect_size=\"32916480\"] \n  5 -> 6 [size =\"32916480\"]\n  5 -> 7 [size =\"32916480\"]\n  6 [size=\"88096768\", alpha=\"0.06\", expect_size=\"44048384\"] \n  6 -> 9 [size =\"44048384\"]\n  7 [size=\"37556224\", alpha=\"0.14\", expect_size=\"18778112\"] \n  7 -> 10 [size =\"18778112\"]\n  8 [size=\"76707840\", alpha=\"0.03\", expect_size=\"38353920\"] \n  8 -> 10 [size =\"38353920\"]\n  9 [size=\"104007680\", alpha=\"0.04\", expect_size=\"52003840\"] \n  10 [size=\"12607488\", alpha=\"0.08\", expect_size=\"6303744\"] \n  10 -> 11 [size =\"6303744\"]\n  10 -> 12 [size =\"6303744\"]\n  11 [size=\"19687424\", alpha=\"0.17\", expect_size=\"9843712\"] \n  11 -> 13 [size =\"9843712\"]\n  11 -> 14 [size =\"9843712\"]\n  12 [size=\"35657728\", alpha=\"0.04\", expect_size=\"17828864\"] \n  12 -> 15 [size =\"17828864\"]\n  13 [size=\"96921600\", alpha=\"0.02\", expect_size=\"48460800\"] \n  13 -> 17 [size =\"48460800\"]\n  14 [size=\"92827648\", alpha=\"0.02\", expect_size=\"46413824\"] \n  14 -> 16 [size =\"46413824\"]\n  14 -> 17 [size =\"46413824\"]\n  15 [size=\"49477632\", alpha=\"0.17\", expect_size=\"24738816\"] \n  16 [size=\"49455104\", alpha=\"0.04\", expect_size=\"24727552\"] \n  16 -> 19 [size =\"24727552\"]\n  17 [size=\"79667200\", alpha=\"0.01\", expect_size=\"39833600\"] \n  17 -> 18 [size =\"39833600\"]\n  18 [size=\"53538816\", alpha=\"0.11\", expect_size=\"26769408\"] \n  19 [size=\"67307520\", alpha=\"0.19\", expect_size=\"33653760\"] \n  19 -> 20 [size =\"33653760\"]\n  19 -> 21 [size =\"33653760\"]\n  20 [size=\"86282240\", alpha=\"0.12\", expect_size=\"43141120\"] \n  20 -> 22 [size =\"43141120\"]\n  20 -> 23 [size =\"43141120\"]\n  21 [size=\"30679040\", alpha=\"0.18\", expect_size=\"15339520\"] \n  21 -> 22 [size =\"15339520\"]\n  22 [size=\"17688576\", alpha=\"0.13\", expect_size=\"8844288\"] \n  22 -> 25 [size =\"8844288\"]\n  23 [size=\"37007360\", alpha=\"0.02\", expect_size=\"18503680\"] \n  23 -> 24 [size =\"18503680\"]\n  24 [size=\"47144960\", alpha=\"0.14\", expect_size=\"23572480\"] \n  24 -> 26 [size =\"23572480\"]\n  24 -> 28 [size =\"23572480\"]\n  25 [size=\"55398400\", alpha=\"0.17\", expect_size=\"27699200\"] \n  25 -> 26 [size =\"27699200\"]\n  25 -> 27 [size =\"27699200\"]\n  25 -> 28 [size =\"27699200\"]\n  26 [size=\"40837120\", alpha=\"0.17\", expect_size=\"20418560\"] \n  27 [size=\"61644800\", alpha=\"0.03\", expect_size=\"30822400\"] \n  27 -> 29 [size =\"30822400\"]\n  27 -> 30 [size =\"30822400\"]\n  28 [size=\"67221504\", alpha=\"0.02\", expect_size=\"33610752\"] \n  28 -> 29 [size =\"33610752\"]\n  28 -> 30 [size =\"33610752\"]\n  29 [size=\"22775808\", alpha=\"0.02\", expect_size=\"11387904\"] \n  29 -> 31 [size =\"11387904\"]\n  29 -> 32 [size =\"11387904\"]\n  30 [size=\"19251200\", alpha=\"0.02\", expect_size=\"9625600\"] \n  30 -> 32 [size =\"9625600\"]\n  31 [size=\"76562432\", alpha=\"0.04\", expect_size=\"38281216\"] \n  31 -> 33 [size =\"38281216\"]\n  31 -> 34 [size =\"38281216\"]\n  32 [size=\"68196352\", alpha=\"0.11\", expect_size=\"34098176\"] \n  32 -> 35 [size =\"34098176\"]\n  33 [size=\"33675264\", alpha=\"0.16\", expect_size=\"16837632\"] \n  33 -> 36 [size =\"16837632\"]\n  34 [size=\"44861440\", alpha=\"0.19\", expect_size=\"22430720\"] \n  34 -> 36 [size =\"22430720\"]\n  35 [size=\"16695296\", alpha=\"0.10\", expect_size=\"8347648\"] \n  35 -> 37 [size =\"8347648\"]\n  36 [size=\"98895872\", alpha=\"0.10\", expect_size=\"49447936\"] \n  36 -> 38 [size =\"49447936\"]\n  36 -> 39 [size =\"49447936\"]\n  37 [size=\"85962752\", alpha=\"0.04\", expect_size=\"42981376\"] \n  38 [size=\"99336192\", alpha=\"0.07\", expect_size=\"49668096\"] \n  38 -> 40 [size =\"49668096\"]\n  39 [size=\"16496640\", alpha=\"0.02\", expect_size=\"8248320\"] \n  39 -> 40 [size =\"8248320\"]\n  39 -> 41 [size =\"8248320\"]\n  40 [size=\"25339904\", alpha=\"0.14\", expect_size=\"12669952\"] \n  40 -> 43 [size =\"12669952\"]\n  41 [size=\"33613824\", alpha=\"0.09\", expect_size=\"16806912\"] \n  41 -> 42 [size =\"16806912\"]\n  41 -> 43 [size =\"16806912\"]\n  42 [size=\"50522112\", alpha=\"0.07\", expect_size=\"25261056\"] \n  42 -> 44 [size =\"25261056\"]\n  42 -> 45 [size =\"25261056\"]\n  43 [size=\"101238784\", alpha=\"0.09\", expect_size=\"50619392\"] \n  44 [size=\"83456000\", alpha=\"0.20\", expect_size=\"41728000\"] \n  45 [size=\"79517696\", alpha=\"0.20\", expect_size=\"39758848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27921067\", alpha=\"0.08\", expect_size=\"8376320\"] \n  1 -> 11 [size =\"8376320\"]\n  2 [size=\"87449600\", alpha=\"0.18\", expect_size=\"26234880\"] \n  2 -> 8 [size =\"26234880\"]\n  3 [size=\"85800960\", alpha=\"0.08\", expect_size=\"25740288\"] \n  3 -> 11 [size =\"25740288\"]\n  3 -> 12 [size =\"25740288\"]\n  3 -> 13 [size =\"25740288\"]\n  3 -> 14 [size =\"25740288\"]\n  4 [size=\"131403093\", alpha=\"0.18\", expect_size=\"39420928\"] \n  4 -> 9 [size =\"39420928\"]\n  4 -> 11 [size =\"39420928\"]\n  4 -> 14 [size =\"39420928\"]\n  5 [size=\"62405973\", alpha=\"0.11\", expect_size=\"18721792\"] \n  5 -> 14 [size =\"18721792\"]\n  6 [size=\"117913600\", alpha=\"0.12\", expect_size=\"35374080\"] \n  6 -> 9 [size =\"35374080\"]\n  6 -> 11 [size =\"35374080\"]\n  6 -> 13 [size =\"35374080\"]\n  6 -> 14 [size =\"35374080\"]\n  7 [size=\"41693867\", alpha=\"0.02\", expect_size=\"12508160\"] \n  7 -> 9 [size =\"12508160\"]\n  7 -> 10 [size =\"12508160\"]\n  7 -> 11 [size =\"12508160\"]\n  7 -> 13 [size =\"12508160\"]\n  8 [size=\"126583467\", alpha=\"0.18\", expect_size=\"37975040\"] \n  8 -> 15 [size =\"37975040\"]\n  8 -> 17 [size =\"37975040\"]\n  8 -> 18 [size =\"37975040\"]\n  9 [size=\"96290133\", alpha=\"0.00\", expect_size=\"28887040\"] \n  9 -> 16 [size =\"28887040\"]\n  9 -> 18 [size =\"28887040\"]\n  10 [size=\"32774827\", alpha=\"0.11\", expect_size=\"9832448\"] \n  10 -> 16 [size =\"9832448\"]\n  10 -> 18 [size =\"9832448\"]\n  10 -> 19 [size =\"9832448\"]\n  11 [size=\"39908693\", alpha=\"0.02\", expect_size=\"11972608\"] \n  11 -> 18 [size =\"11972608\"]\n  11 -> 19 [size =\"11972608\"]\n  11 -> 19 [size =\"11972608\"]\n  12 [size=\"106451627\", alpha=\"0.06\", expect_size=\"31935488\"] \n  12 -> 18 [size =\"31935488\"]\n  12 -> 19 [size =\"31935488\"]\n  13 [size=\"87620267\", alpha=\"0.16\", expect_size=\"26286080\"] \n  13 -> 15 [size =\"26286080\"]\n  14 [size=\"147401387\", alpha=\"0.17\", expect_size=\"44220416\"] \n  14 -> 15 [size =\"44220416\"]\n  14 -> 19 [size =\"44220416\"]\n  15 [size=\"128788480\", alpha=\"0.18\", expect_size=\"38636544\"] \n  15 -> 22 [size =\"38636544\"]\n  16 [size=\"58804907\", alpha=\"0.14\", expect_size=\"17641472\"] \n  16 -> 21 [size =\"17641472\"]\n  17 [size=\"150787413\", alpha=\"0.10\", expect_size=\"45236224\"] \n  17 -> 21 [size =\"45236224\"]\n  18 [size=\"168864427\", alpha=\"0.03\", expect_size=\"50659328\"] \n  18 -> 20 [size =\"50659328\"]\n  19 [size=\"154910720\", alpha=\"0.05\", expect_size=\"46473216\"] \n  19 -> 23 [size =\"46473216\"]\n  20 [size=\"155770880\", alpha=\"0.17\", expect_size=\"46731264\"] \n  20 -> 25 [size =\"46731264\"]\n  21 [size=\"83708587\", alpha=\"0.11\", expect_size=\"25112576\"] \n  21 -> 25 [size =\"25112576\"]\n  21 -> 26 [size =\"25112576\"]\n  21 -> 28 [size =\"25112576\"]\n  21 -> 29 [size =\"25112576\"]\n  22 [size=\"100536320\", alpha=\"0.13\", expect_size=\"30160896\"] \n  22 -> 24 [size =\"30160896\"]\n  22 -> 28 [size =\"30160896\"]\n  23 [size=\"151487147\", alpha=\"0.04\", expect_size=\"45446144\"] \n  23 -> 26 [size =\"45446144\"]\n  23 -> 27 [size =\"45446144\"]\n  23 -> 28 [size =\"45446144\"]\n  23 -> 29 [size =\"45446144\"]\n  24 [size=\"118183253\", alpha=\"0.10\", expect_size=\"35454976\"] \n  24 -> 30 [size =\"35454976\"]\n  24 -> 31 [size =\"35454976\"]\n  24 -> 32 [size =\"35454976\"]\n  25 [size=\"98129920\", alpha=\"0.01\", expect_size=\"29438976\"] \n  25 -> 31 [size =\"29438976\"]\n  25 -> 31 [size =\"29438976\"]\n  25 -> 33 [size =\"29438976\"]\n  25 -> 35 [size =\"29438976\"]\n  26 [size=\"85254827\", alpha=\"0.06\", expect_size=\"25576448\"] \n  26 -> 31 [size =\"25576448\"]\n  26 -> 32 [size =\"25576448\"]\n  26 -> 34 [size =\"25576448\"]\n  27 [size=\"38464853\", alpha=\"0.13\", expect_size=\"11539456\"] \n  27 -> 30 [size =\"11539456\"]\n  27 -> 32 [size =\"11539456\"]\n  27 -> 33 [size =\"11539456\"]\n  28 [size=\"113237333\", alpha=\"0.14\", expect_size=\"33971200\"] \n  28 -> 30 [size =\"33971200\"]\n  28 -> 32 [size =\"33971200\"]\n  28 -> 33 [size =\"33971200\"]\n  29 [size=\"138741760\", alpha=\"0.05\", expect_size=\"41622528\"] \n  29 -> 30 [size =\"41622528\"]\n  29 -> 32 [size =\"41622528\"]\n  29 -> 33 [size =\"41622528\"]\n  30 [size=\"174424747\", alpha=\"0.18\", expect_size=\"52327424\"] \n  30 -> 40 [size =\"52327424\"]\n  31 [size=\"149722453\", alpha=\"0.14\", expect_size=\"44916736\"] \n  31 -> 37 [size =\"44916736\"]\n  31 -> 40 [size =\"44916736\"]\n  32 [size=\"75083093\", alpha=\"0.02\", expect_size=\"22524928\"] \n  32 -> 36 [size =\"22524928\"]\n  32 -> 39 [size =\"22524928\"]\n  32 -> 41 [size =\"22524928\"]\n  33 [size=\"20473173\", alpha=\"0.18\", expect_size=\"6141952\"] \n  33 -> 39 [size =\"6141952\"]\n  34 [size=\"54227627\", alpha=\"0.11\", expect_size=\"16268288\"] \n  34 -> 36 [size =\"16268288\"]\n  34 -> 38 [size =\"16268288\"]\n  34 -> 41 [size =\"16268288\"]\n  35 [size=\"132983467\", alpha=\"0.18\", expect_size=\"39895040\"] \n  35 -> 39 [size =\"39895040\"]\n  35 -> 40 [size =\"39895040\"]\n  36 [size=\"144384000\", alpha=\"0.10\", expect_size=\"43315200\"] \n  36 -> 42 [size =\"43315200\"]\n  37 [size=\"31590400\", alpha=\"0.19\", expect_size=\"9477120\"] \n  37 -> 42 [size =\"9477120\"]\n  37 -> 43 [size =\"9477120\"]\n  38 [size=\"133386240\", alpha=\"0.07\", expect_size=\"40015872\"] \n  38 -> 43 [size =\"40015872\"]\n  38 -> 44 [size =\"40015872\"]\n  38 -> 45 [size =\"40015872\"]\n  39 [size=\"87026347\", alpha=\"0.13\", expect_size=\"26107904\"] \n  39 -> 43 [size =\"26107904\"]\n  39 -> 44 [size =\"26107904\"]\n  39 -> 45 [size =\"26107904\"]\n  40 [size=\"128610987\", alpha=\"0.16\", expect_size=\"38583296\"] \n  40 -> 42 [size =\"38583296\"]\n  40 -> 43 [size =\"38583296\"]\n  40 -> 45 [size =\"38583296\"]\n  41 [size=\"116152320\", alpha=\"0.08\", expect_size=\"34845696\"] \n  41 -> 42 [size =\"34845696\"]\n  41 -> 43 [size =\"34845696\"]\n  42 [size=\"72086187\", alpha=\"0.11\", expect_size=\"21625856\"] \n  43 [size=\"85391360\", alpha=\"0.10\", expect_size=\"25617408\"] \n  44 [size=\"68925440\", alpha=\"0.02\", expect_size=\"20677632\"] \n  45 [size=\"152613547\", alpha=\"0.05\", expect_size=\"45784064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81743872\", alpha=\"0.15\", expect_size=\"40871936\"] \n  1 -> 2 [size =\"40871936\"]\n  2 [size=\"11255808\", alpha=\"0.19\", expect_size=\"5627904\"] \n  2 -> 3 [size =\"5627904\"]\n  3 [size=\"99098624\", alpha=\"0.08\", expect_size=\"49549312\"] \n  3 -> 4 [size =\"49549312\"]\n  4 [size=\"40726528\", alpha=\"0.09\", expect_size=\"20363264\"] \n  4 -> 5 [size =\"20363264\"]\n  5 [size=\"47749120\", alpha=\"0.05\", expect_size=\"23874560\"] \n  5 -> 6 [size =\"23874560\"]\n  6 [size=\"78188544\", alpha=\"0.11\", expect_size=\"39094272\"] \n  6 -> 7 [size =\"39094272\"]\n  7 [size=\"74072064\", alpha=\"0.12\", expect_size=\"37036032\"] \n  7 -> 8 [size =\"37036032\"]\n  8 [size=\"66607104\", alpha=\"0.18\", expect_size=\"33303552\"] \n  8 -> 9 [size =\"33303552\"]\n  9 [size=\"24756224\", alpha=\"0.19\", expect_size=\"12378112\"] \n  9 -> 10 [size =\"12378112\"]\n  10 [size=\"71827456\", alpha=\"0.20\", expect_size=\"35913728\"] \n  10 -> 11 [size =\"35913728\"]\n  11 [size=\"70199296\", alpha=\"0.18\", expect_size=\"35099648\"] \n  11 -> 12 [size =\"35099648\"]\n  12 [size=\"44343296\", alpha=\"0.16\", expect_size=\"22171648\"] \n  12 -> 13 [size =\"22171648\"]\n  13 [size=\"37855232\", alpha=\"0.08\", expect_size=\"18927616\"] \n  13 -> 14 [size =\"18927616\"]\n  14 [size=\"74805248\", alpha=\"0.13\", expect_size=\"37402624\"] \n  14 -> 15 [size =\"37402624\"]\n  15 [size=\"21409792\", alpha=\"0.03\", expect_size=\"10704896\"] \n  15 -> 16 [size =\"10704896\"]\n  16 [size=\"43399168\", alpha=\"0.00\", expect_size=\"21699584\"] \n  16 -> 17 [size =\"21699584\"]\n  17 [size=\"94763008\", alpha=\"0.06\", expect_size=\"47381504\"] \n  17 -> 18 [size =\"47381504\"]\n  18 [size=\"55984128\", alpha=\"0.19\", expect_size=\"27992064\"] \n  18 -> 19 [size =\"27992064\"]\n  19 [size=\"45723648\", alpha=\"0.04\", expect_size=\"22861824\"] \n  19 -> 20 [size =\"22861824\"]\n  20 [size=\"38811648\", alpha=\"0.15\", expect_size=\"19405824\"] \n  20 -> 21 [size =\"19405824\"]\n  21 [size=\"36947968\", alpha=\"0.01\", expect_size=\"18473984\"] \n  21 -> 22 [size =\"18473984\"]\n  22 [size=\"28985344\", alpha=\"0.08\", expect_size=\"14492672\"] \n  22 -> 23 [size =\"14492672\"]\n  23 [size=\"11972608\", alpha=\"0.14\", expect_size=\"5986304\"] \n  23 -> 24 [size =\"5986304\"]\n  24 [size=\"47435776\", alpha=\"0.05\", expect_size=\"23717888\"] \n  24 -> 25 [size =\"23717888\"]\n  25 [size=\"16570368\", alpha=\"0.05\", expect_size=\"8285184\"] \n  25 -> 26 [size =\"8285184\"]\n  26 [size=\"28964864\", alpha=\"0.19\", expect_size=\"14482432\"] \n  26 -> 27 [size =\"14482432\"]\n  27 [size=\"29491200\", alpha=\"0.07\", expect_size=\"14745600\"] \n  27 -> 28 [size =\"14745600\"]\n  28 [size=\"55789568\", alpha=\"0.06\", expect_size=\"27894784\"] \n  28 -> 29 [size =\"27894784\"]\n  29 [size=\"50444288\", alpha=\"0.09\", expect_size=\"25222144\"] \n  29 -> 30 [size =\"25222144\"]\n  30 [size=\"67133440\", alpha=\"0.04\", expect_size=\"33566720\"] \n  30 -> 31 [size =\"33566720\"]\n  31 [size=\"43327488\", alpha=\"0.13\", expect_size=\"21663744\"] \n  31 -> 32 [size =\"21663744\"]\n  32 [size=\"50286592\", alpha=\"0.08\", expect_size=\"25143296\"] \n  32 -> 33 [size =\"25143296\"]\n  33 [size=\"88782848\", alpha=\"0.09\", expect_size=\"44391424\"] \n  33 -> 34 [size =\"44391424\"]\n  34 [size=\"58685440\", alpha=\"0.04\", expect_size=\"29342720\"] \n  34 -> 35 [size =\"29342720\"]\n  35 [size=\"84609024\", alpha=\"0.01\", expect_size=\"42304512\"] \n  35 -> 36 [size =\"42304512\"]\n  36 [size=\"15073280\", alpha=\"0.05\", expect_size=\"7536640\"] \n  36 -> 37 [size =\"7536640\"]\n  37 [size=\"12152832\", alpha=\"0.07\", expect_size=\"6076416\"] \n  37 -> 38 [size =\"6076416\"]\n  38 [size=\"45062144\", alpha=\"0.19\", expect_size=\"22531072\"] \n  38 -> 39 [size =\"22531072\"]\n  39 [size=\"75552768\", alpha=\"0.18\", expect_size=\"37776384\"] \n  39 -> 40 [size =\"37776384\"]\n  40 [size=\"23523328\", alpha=\"0.03\", expect_size=\"11761664\"] \n  40 -> 41 [size =\"11761664\"]\n  41 [size=\"44691456\", alpha=\"0.13\", expect_size=\"22345728\"] \n  41 -> 42 [size =\"22345728\"]\n  42 [size=\"104396800\", alpha=\"0.08\", expect_size=\"52198400\"] \n  42 -> 43 [size =\"52198400\"]\n  43 [size=\"47755264\", alpha=\"0.03\", expect_size=\"23877632\"] \n  43 -> 44 [size =\"23877632\"]\n  44 [size=\"90882048\", alpha=\"0.05\", expect_size=\"45441024\"] \n  44 -> 45 [size =\"45441024\"]\n  45 [size=\"14979072\", alpha=\"0.09\", expect_size=\"7489536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70754987\", alpha=\"0.10\", expect_size=\"21226496\"] \n  1 -> 14 [size =\"21226496\"]\n  1 -> 15 [size =\"21226496\"]\n  1 -> 17 [size =\"21226496\"]\n  1 -> 20 [size =\"21226496\"]\n  1 -> 23 [size =\"21226496\"]\n  1 -> 24 [size =\"21226496\"]\n  2 [size=\"54132053\", alpha=\"0.18\", expect_size=\"16239616\"] \n  2 -> 11 [size =\"16239616\"]\n  2 -> 15 [size =\"16239616\"]\n  2 -> 16 [size =\"16239616\"]\n  2 -> 19 [size =\"16239616\"]\n  2 -> 21 [size =\"16239616\"]\n  2 -> 23 [size =\"16239616\"]\n  2 -> 24 [size =\"16239616\"]\n  2 -> 28 [size =\"16239616\"]\n  3 [size=\"91385173\", alpha=\"0.07\", expect_size=\"27415552\"] \n  3 -> 11 [size =\"27415552\"]\n  3 -> 12 [size =\"27415552\"]\n  3 -> 13 [size =\"27415552\"]\n  3 -> 17 [size =\"27415552\"]\n  3 -> 18 [size =\"27415552\"]\n  3 -> 19 [size =\"27415552\"]\n  3 -> 20 [size =\"27415552\"]\n  3 -> 21 [size =\"27415552\"]\n  3 -> 25 [size =\"27415552\"]\n  3 -> 28 [size =\"27415552\"]\n  3 -> 29 [size =\"27415552\"]\n  4 [size=\"111510187\", alpha=\"0.06\", expect_size=\"33453056\"] \n  4 -> 15 [size =\"33453056\"]\n  4 -> 19 [size =\"33453056\"]\n  4 -> 21 [size =\"33453056\"]\n  4 -> 25 [size =\"33453056\"]\n  5 [size=\"114807467\", alpha=\"0.17\", expect_size=\"34442240\"] \n  5 -> 12 [size =\"34442240\"]\n  5 -> 13 [size =\"34442240\"]\n  5 -> 21 [size =\"34442240\"]\n  5 -> 23 [size =\"34442240\"]\n  5 -> 24 [size =\"34442240\"]\n  5 -> 26 [size =\"34442240\"]\n  5 -> 29 [size =\"34442240\"]\n  6 [size=\"102952960\", alpha=\"0.15\", expect_size=\"30885888\"] \n  6 -> 13 [size =\"30885888\"]\n  6 -> 14 [size =\"30885888\"]\n  6 -> 16 [size =\"30885888\"]\n  6 -> 19 [size =\"30885888\"]\n  6 -> 20 [size =\"30885888\"]\n  6 -> 21 [size =\"30885888\"]\n  6 -> 26 [size =\"30885888\"]\n  6 -> 27 [size =\"30885888\"]\n  6 -> 29 [size =\"30885888\"]\n  6 -> 30 [size =\"30885888\"]\n  7 [size=\"156385280\", alpha=\"0.14\", expect_size=\"46915584\"] \n  7 -> 16 [size =\"46915584\"]\n  7 -> 18 [size =\"46915584\"]\n  7 -> 20 [size =\"46915584\"]\n  7 -> 21 [size =\"46915584\"]\n  7 -> 23 [size =\"46915584\"]\n  7 -> 24 [size =\"46915584\"]\n  7 -> 25 [size =\"46915584\"]\n  7 -> 30 [size =\"46915584\"]\n  8 [size=\"20875947\", alpha=\"0.01\", expect_size=\"6262784\"] \n  8 -> 12 [size =\"6262784\"]\n  8 -> 16 [size =\"6262784\"]\n  8 -> 20 [size =\"6262784\"]\n  8 -> 21 [size =\"6262784\"]\n  8 -> 23 [size =\"6262784\"]\n  8 -> 24 [size =\"6262784\"]\n  8 -> 25 [size =\"6262784\"]\n  9 [size=\"97348267\", alpha=\"0.13\", expect_size=\"29204480\"] \n  9 -> 14 [size =\"29204480\"]\n  9 -> 16 [size =\"29204480\"]\n  9 -> 17 [size =\"29204480\"]\n  9 -> 20 [size =\"29204480\"]\n  9 -> 22 [size =\"29204480\"]\n  9 -> 25 [size =\"29204480\"]\n  10 [size=\"134062080\", alpha=\"0.15\", expect_size=\"40218624\"] \n  10 -> 11 [size =\"40218624\"]\n  10 -> 17 [size =\"40218624\"]\n  10 -> 20 [size =\"40218624\"]\n  10 -> 22 [size =\"40218624\"]\n  10 -> 24 [size =\"40218624\"]\n  10 -> 26 [size =\"40218624\"]\n  10 -> 27 [size =\"40218624\"]\n  10 -> 28 [size =\"40218624\"]\n  11 [size=\"36341760\", alpha=\"0.04\", expect_size=\"10902528\"] \n  11 -> 35 [size =\"10902528\"]\n  11 -> 35 [size =\"10902528\"]\n  11 -> 38 [size =\"10902528\"]\n  12 [size=\"112657067\", alpha=\"0.20\", expect_size=\"33797120\"] \n  12 -> 34 [size =\"33797120\"]\n  12 -> 35 [size =\"33797120\"]\n  12 -> 36 [size =\"33797120\"]\n  12 -> 37 [size =\"33797120\"]\n  12 -> 38 [size =\"33797120\"]\n  13 [size=\"98413227\", alpha=\"0.12\", expect_size=\"29523968\"] \n  13 -> 33 [size =\"29523968\"]\n  13 -> 34 [size =\"29523968\"]\n  13 -> 37 [size =\"29523968\"]\n  14 [size=\"150111573\", alpha=\"0.00\", expect_size=\"45033472\"] \n  14 -> 33 [size =\"45033472\"]\n  14 -> 34 [size =\"45033472\"]\n  14 -> 37 [size =\"45033472\"]\n  14 -> 38 [size =\"45033472\"]\n  15 [size=\"41687040\", alpha=\"0.06\", expect_size=\"12506112\"] \n  15 -> 31 [size =\"12506112\"]\n  15 -> 33 [size =\"12506112\"]\n  15 -> 34 [size =\"12506112\"]\n  16 [size=\"20691627\", alpha=\"0.18\", expect_size=\"6207488\"] \n  16 -> 31 [size =\"6207488\"]\n  16 -> 32 [size =\"6207488\"]\n  16 -> 33 [size =\"6207488\"]\n  16 -> 34 [size =\"6207488\"]\n  16 -> 38 [size =\"6207488\"]\n  17 [size=\"142417920\", alpha=\"0.01\", expect_size=\"42725376\"] \n  17 -> 31 [size =\"42725376\"]\n  17 -> 32 [size =\"42725376\"]\n  17 -> 34 [size =\"42725376\"]\n  17 -> 34 [size =\"42725376\"]\n  17 -> 35 [size =\"42725376\"]\n  17 -> 36 [size =\"42725376\"]\n  17 -> 38 [size =\"42725376\"]\n  18 [size=\"97815893\", alpha=\"0.11\", expect_size=\"29344768\"] \n  18 -> 31 [size =\"29344768\"]\n  18 -> 33 [size =\"29344768\"]\n  18 -> 34 [size =\"29344768\"]\n  18 -> 37 [size =\"29344768\"]\n  18 -> 38 [size =\"29344768\"]\n  19 [size=\"109045760\", alpha=\"0.00\", expect_size=\"32713728\"] \n  19 -> 31 [size =\"32713728\"]\n  19 -> 33 [size =\"32713728\"]\n  19 -> 37 [size =\"32713728\"]\n  19 -> 38 [size =\"32713728\"]\n  20 [size=\"57272320\", alpha=\"0.09\", expect_size=\"17181696\"] \n  20 -> 31 [size =\"17181696\"]\n  20 -> 32 [size =\"17181696\"]\n  20 -> 33 [size =\"17181696\"]\n  20 -> 34 [size =\"17181696\"]\n  20 -> 35 [size =\"17181696\"]\n  21 [size=\"20077227\", alpha=\"0.05\", expect_size=\"6023168\"] \n  21 -> 31 [size =\"6023168\"]\n  21 -> 33 [size =\"6023168\"]\n  21 -> 35 [size =\"6023168\"]\n  21 -> 37 [size =\"6023168\"]\n  21 -> 38 [size =\"6023168\"]\n  22 [size=\"52046507\", alpha=\"0.05\", expect_size=\"15613952\"] \n  22 -> 31 [size =\"15613952\"]\n  22 -> 35 [size =\"15613952\"]\n  22 -> 37 [size =\"15613952\"]\n  22 -> 38 [size =\"15613952\"]\n  22 -> 38 [size =\"15613952\"]\n  23 [size=\"51729067\", alpha=\"0.15\", expect_size=\"15518720\"] \n  23 -> 31 [size =\"15518720\"]\n  23 -> 32 [size =\"15518720\"]\n  24 [size=\"145831253\", alpha=\"0.16\", expect_size=\"43749376\"] \n  24 -> 31 [size =\"43749376\"]\n  24 -> 32 [size =\"43749376\"]\n  24 -> 33 [size =\"43749376\"]\n  24 -> 34 [size =\"43749376\"]\n  24 -> 36 [size =\"43749376\"]\n  24 -> 37 [size =\"43749376\"]\n  24 -> 38 [size =\"43749376\"]\n  25 [size=\"147213653\", alpha=\"0.10\", expect_size=\"44164096\"] \n  25 -> 31 [size =\"44164096\"]\n  25 -> 32 [size =\"44164096\"]\n  25 -> 33 [size =\"44164096\"]\n  25 -> 34 [size =\"44164096\"]\n  25 -> 37 [size =\"44164096\"]\n  26 [size=\"37444267\", alpha=\"0.15\", expect_size=\"11233280\"] \n  26 -> 31 [size =\"11233280\"]\n  26 -> 32 [size =\"11233280\"]\n  26 -> 33 [size =\"11233280\"]\n  27 [size=\"20425387\", alpha=\"0.18\", expect_size=\"6127616\"] \n  27 -> 32 [size =\"6127616\"]\n  27 -> 36 [size =\"6127616\"]\n  27 -> 37 [size =\"6127616\"]\n  28 [size=\"25569280\", alpha=\"0.01\", expect_size=\"7670784\"] \n  28 -> 34 [size =\"7670784\"]\n  28 -> 37 [size =\"7670784\"]\n  29 [size=\"111670613\", alpha=\"0.14\", expect_size=\"33501184\"] \n  29 -> 34 [size =\"33501184\"]\n  29 -> 37 [size =\"33501184\"]\n  30 [size=\"115254613\", alpha=\"0.02\", expect_size=\"34576384\"] \n  30 -> 32 [size =\"34576384\"]\n  30 -> 35 [size =\"34576384\"]\n  31 [size=\"30832640\", alpha=\"0.12\", expect_size=\"9249792\"] \n  31 -> 40 [size =\"9249792\"]\n  31 -> 41 [size =\"9249792\"]\n  31 -> 42 [size =\"9249792\"]\n  31 -> 44 [size =\"9249792\"]\n  31 -> 45 [size =\"9249792\"]\n  32 [size=\"68973227\", alpha=\"0.14\", expect_size=\"20691968\"] \n  32 -> 39 [size =\"20691968\"]\n  32 -> 42 [size =\"20691968\"]\n  32 -> 42 [size =\"20691968\"]\n  33 [size=\"109049173\", alpha=\"0.07\", expect_size=\"32714752\"] \n  33 -> 39 [size =\"32714752\"]\n  33 -> 40 [size =\"32714752\"]\n  33 -> 42 [size =\"32714752\"]\n  34 [size=\"67679573\", alpha=\"0.17\", expect_size=\"20303872\"] \n  34 -> 42 [size =\"20303872\"]\n  35 [size=\"38905173\", alpha=\"0.09\", expect_size=\"11671552\"] \n  35 -> 39 [size =\"11671552\"]\n  35 -> 40 [size =\"11671552\"]\n  35 -> 41 [size =\"11671552\"]\n  35 -> 43 [size =\"11671552\"]\n  35 -> 44 [size =\"11671552\"]\n  36 [size=\"120053760\", alpha=\"0.02\", expect_size=\"36016128\"] \n  36 -> 40 [size =\"36016128\"]\n  36 -> 40 [size =\"36016128\"]\n  36 -> 41 [size =\"36016128\"]\n  36 -> 43 [size =\"36016128\"]\n  36 -> 44 [size =\"36016128\"]\n  36 -> 45 [size =\"36016128\"]\n  37 [size=\"82029227\", alpha=\"0.11\", expect_size=\"24608768\"] \n  37 -> 41 [size =\"24608768\"]\n  37 -> 44 [size =\"24608768\"]\n  37 -> 45 [size =\"24608768\"]\n  38 [size=\"63744000\", alpha=\"0.11\", expect_size=\"19123200\"] \n  38 -> 39 [size =\"19123200\"]\n  38 -> 41 [size =\"19123200\"]\n  38 -> 42 [size =\"19123200\"]\n  38 -> 45 [size =\"19123200\"]\n  39 [size=\"68601173\", alpha=\"0.01\", expect_size=\"20580352\"] \n  40 [size=\"19186347\", alpha=\"0.17\", expect_size=\"5755904\"] \n  41 [size=\"32085333\", alpha=\"0.13\", expect_size=\"9625600\"] \n  42 [size=\"126170453\", alpha=\"0.14\", expect_size=\"37851136\"] \n  43 [size=\"82049707\", alpha=\"0.19\", expect_size=\"24614912\"] \n  44 [size=\"137946453\", alpha=\"0.00\", expect_size=\"41383936\"] \n  45 [size=\"111930027\", alpha=\"0.18\", expect_size=\"33579008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36474880\", alpha=\"0.04\", expect_size=\"14589952\"] \n  1 -> 40 [size =\"14589952\"]\n  1 -> 41 [size =\"14589952\"]\n  1 -> 41 [size =\"14589952\"]\n  2 [size=\"58104320\", alpha=\"0.16\", expect_size=\"23241728\"] \n  3 [size=\"60958720\", alpha=\"0.10\", expect_size=\"24383488\"] \n  3 -> 40 [size =\"24383488\"]\n  3 -> 41 [size =\"24383488\"]\n  4 [size=\"122099200\", alpha=\"0.04\", expect_size=\"48839680\"] \n  4 -> 39 [size =\"48839680\"]\n  4 -> 41 [size =\"48839680\"]\n  4 -> 43 [size =\"48839680\"]\n  5 [size=\"118497280\", alpha=\"0.20\", expect_size=\"47398912\"] \n  5 -> 40 [size =\"47398912\"]\n  5 -> 41 [size =\"47398912\"]\n  5 -> 42 [size =\"47398912\"]\n  5 -> 43 [size =\"47398912\"]\n  5 -> 45 [size =\"47398912\"]\n  6 [size=\"51010560\", alpha=\"0.07\", expect_size=\"20404224\"] \n  6 -> 39 [size =\"20404224\"]\n  6 -> 43 [size =\"20404224\"]\n  7 [size=\"99653120\", alpha=\"0.06\", expect_size=\"39861248\"] \n  7 -> 39 [size =\"39861248\"]\n  7 -> 43 [size =\"39861248\"]\n  7 -> 44 [size =\"39861248\"]\n  7 -> 45 [size =\"39861248\"]\n  8 [size=\"117153280\", alpha=\"0.20\", expect_size=\"46861312\"] \n  8 -> 39 [size =\"46861312\"]\n  8 -> 40 [size =\"46861312\"]\n  8 -> 41 [size =\"46861312\"]\n  9 [size=\"123138560\", alpha=\"0.04\", expect_size=\"49255424\"] \n  9 -> 39 [size =\"49255424\"]\n  10 [size=\"84008960\", alpha=\"0.03\", expect_size=\"33603584\"] \n  10 -> 39 [size =\"33603584\"]\n  11 [size=\"118305280\", alpha=\"0.03\", expect_size=\"47322112\"] \n  11 -> 43 [size =\"47322112\"]\n  11 -> 44 [size =\"47322112\"]\n  12 [size=\"24660480\", alpha=\"0.17\", expect_size=\"9864192\"] \n  12 -> 43 [size =\"9864192\"]\n  12 -> 45 [size =\"9864192\"]\n  13 [size=\"121674240\", alpha=\"0.19\", expect_size=\"48669696\"] \n  13 -> 40 [size =\"48669696\"]\n  13 -> 42 [size =\"48669696\"]\n  13 -> 43 [size =\"48669696\"]\n  13 -> 45 [size =\"48669696\"]\n  14 [size=\"61286400\", alpha=\"0.02\", expect_size=\"24514560\"] \n  14 -> 40 [size =\"24514560\"]\n  14 -> 43 [size =\"24514560\"]\n  14 -> 43 [size =\"24514560\"]\n  14 -> 45 [size =\"24514560\"]\n  15 [size=\"84951040\", alpha=\"0.16\", expect_size=\"33980416\"] \n  15 -> 40 [size =\"33980416\"]\n  15 -> 43 [size =\"33980416\"]\n  16 [size=\"82739200\", alpha=\"0.11\", expect_size=\"33095680\"] \n  16 -> 39 [size =\"33095680\"]\n  16 -> 40 [size =\"33095680\"]\n  16 -> 41 [size =\"33095680\"]\n  17 [size=\"125959680\", alpha=\"0.09\", expect_size=\"50383872\"] \n  17 -> 43 [size =\"50383872\"]\n  17 -> 45 [size =\"50383872\"]\n  18 [size=\"41989120\", alpha=\"0.03\", expect_size=\"16795648\"] \n  18 -> 39 [size =\"16795648\"]\n  19 [size=\"39603200\", alpha=\"0.12\", expect_size=\"15841280\"] \n  19 -> 39 [size =\"15841280\"]\n  19 -> 40 [size =\"15841280\"]\n  20 [size=\"62330880\", alpha=\"0.10\", expect_size=\"24932352\"] \n  20 -> 40 [size =\"24932352\"]\n  21 [size=\"79211520\", alpha=\"0.12\", expect_size=\"31684608\"] \n  21 -> 40 [size =\"31684608\"]\n  21 -> 41 [size =\"31684608\"]\n  22 [size=\"98370560\", alpha=\"0.02\", expect_size=\"39348224\"] \n  22 -> 43 [size =\"39348224\"]\n  22 -> 45 [size =\"39348224\"]\n  23 [size=\"83051520\", alpha=\"0.20\", expect_size=\"33220608\"] \n  23 -> 39 [size =\"33220608\"]\n  23 -> 41 [size =\"33220608\"]\n  23 -> 43 [size =\"33220608\"]\n  24 [size=\"77102080\", alpha=\"0.16\", expect_size=\"30840832\"] \n  24 -> 40 [size =\"30840832\"]\n  25 [size=\"86737920\", alpha=\"0.10\", expect_size=\"34695168\"] \n  25 -> 40 [size =\"34695168\"]\n  25 -> 43 [size =\"34695168\"]\n  26 [size=\"64627200\", alpha=\"0.11\", expect_size=\"25850880\"] \n  26 -> 43 [size =\"25850880\"]\n  27 [size=\"13524480\", alpha=\"0.06\", expect_size=\"5409792\"] \n  27 -> 43 [size =\"5409792\"]\n  27 -> 45 [size =\"5409792\"]\n  28 [size=\"66695680\", alpha=\"0.19\", expect_size=\"26678272\"] \n  28 -> 39 [size =\"26678272\"]\n  28 -> 43 [size =\"26678272\"]\n  28 -> 45 [size =\"26678272\"]\n  29 [size=\"81815040\", alpha=\"0.10\", expect_size=\"32726016\"] \n  29 -> 39 [size =\"32726016\"]\n  29 -> 43 [size =\"32726016\"]\n  30 [size=\"33763840\", alpha=\"0.14\", expect_size=\"13505536\"] \n  30 -> 39 [size =\"13505536\"]\n  30 -> 40 [size =\"13505536\"]\n  30 -> 44 [size =\"13505536\"]\n  30 -> 45 [size =\"13505536\"]\n  31 [size=\"92490240\", alpha=\"0.15\", expect_size=\"36996096\"] \n  31 -> 40 [size =\"36996096\"]\n  31 -> 44 [size =\"36996096\"]\n  32 [size=\"45434880\", alpha=\"0.19\", expect_size=\"18173952\"] \n  32 -> 43 [size =\"18173952\"]\n  33 [size=\"55557120\", alpha=\"0.00\", expect_size=\"22222848\"] \n  33 -> 39 [size =\"22222848\"]\n  33 -> 43 [size =\"22222848\"]\n  34 [size=\"52746240\", alpha=\"0.10\", expect_size=\"21098496\"] \n  34 -> 39 [size =\"21098496\"]\n  34 -> 40 [size =\"21098496\"]\n  34 -> 41 [size =\"21098496\"]\n  34 -> 42 [size =\"21098496\"]\n  34 -> 43 [size =\"21098496\"]\n  34 -> 45 [size =\"21098496\"]\n  35 [size=\"28032000\", alpha=\"0.12\", expect_size=\"11212800\"] \n  35 -> 41 [size =\"11212800\"]\n  35 -> 43 [size =\"11212800\"]\n  36 [size=\"86804480\", alpha=\"0.06\", expect_size=\"34721792\"] \n  36 -> 45 [size =\"34721792\"]\n  37 [size=\"31037440\", alpha=\"0.19\", expect_size=\"12414976\"] \n  37 -> 39 [size =\"12414976\"]\n  37 -> 40 [size =\"12414976\"]\n  37 -> 42 [size =\"12414976\"]\n  37 -> 43 [size =\"12414976\"]\n  37 -> 45 [size =\"12414976\"]\n  38 [size=\"65244160\", alpha=\"0.17\", expect_size=\"26097664\"] \n  38 -> 39 [size =\"26097664\"]\n  38 -> 40 [size =\"26097664\"]\n  38 -> 41 [size =\"26097664\"]\n  38 -> 43 [size =\"26097664\"]\n  39 [size=\"57538560\", alpha=\"0.20\", expect_size=\"23015424\"] \n  40 [size=\"117959680\", alpha=\"0.11\", expect_size=\"47183872\"] \n  41 [size=\"81474560\", alpha=\"0.13\", expect_size=\"32589824\"] \n  42 [size=\"53288960\", alpha=\"0.09\", expect_size=\"21315584\"] \n  43 [size=\"44953600\", alpha=\"0.17\", expect_size=\"17981440\"] \n  44 [size=\"47075840\", alpha=\"0.17\", expect_size=\"18830336\"] \n  45 [size=\"107834880\", alpha=\"0.08\", expect_size=\"43133952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48844800\", alpha=\"0.12\", expect_size=\"19537920\"] \n  1 -> 39 [size =\"19537920\"]\n  1 -> 41 [size =\"19537920\"]\n  1 -> 42 [size =\"19537920\"]\n  1 -> 43 [size =\"19537920\"]\n  2 [size=\"110149120\", alpha=\"0.18\", expect_size=\"44059648\"] \n  2 -> 36 [size =\"44059648\"]\n  2 -> 44 [size =\"44059648\"]\n  3 [size=\"73996800\", alpha=\"0.10\", expect_size=\"29598720\"] \n  3 -> 37 [size =\"29598720\"]\n  3 -> 42 [size =\"29598720\"]\n  4 [size=\"101263360\", alpha=\"0.16\", expect_size=\"40505344\"] \n  4 -> 36 [size =\"40505344\"]\n  4 -> 38 [size =\"40505344\"]\n  4 -> 41 [size =\"40505344\"]\n  4 -> 45 [size =\"40505344\"]\n  5 [size=\"116472320\", alpha=\"0.17\", expect_size=\"46588928\"] \n  5 -> 37 [size =\"46588928\"]\n  5 -> 38 [size =\"46588928\"]\n  5 -> 41 [size =\"46588928\"]\n  5 -> 42 [size =\"46588928\"]\n  5 -> 43 [size =\"46588928\"]\n  5 -> 44 [size =\"46588928\"]\n  5 -> 45 [size =\"46588928\"]\n  6 [size=\"113328640\", alpha=\"0.04\", expect_size=\"45331456\"] \n  6 -> 38 [size =\"45331456\"]\n  6 -> 42 [size =\"45331456\"]\n  6 -> 43 [size =\"45331456\"]\n  6 -> 45 [size =\"45331456\"]\n  7 [size=\"57733120\", alpha=\"0.04\", expect_size=\"23093248\"] \n  7 -> 39 [size =\"23093248\"]\n  7 -> 43 [size =\"23093248\"]\n  7 -> 43 [size =\"23093248\"]\n  8 [size=\"27786240\", alpha=\"0.09\", expect_size=\"11114496\"] \n  8 -> 39 [size =\"11114496\"]\n  8 -> 41 [size =\"11114496\"]\n  8 -> 43 [size =\"11114496\"]\n  8 -> 45 [size =\"11114496\"]\n  9 [size=\"113715200\", alpha=\"0.18\", expect_size=\"45486080\"] \n  9 -> 36 [size =\"45486080\"]\n  9 -> 38 [size =\"45486080\"]\n  9 -> 41 [size =\"45486080\"]\n  9 -> 45 [size =\"45486080\"]\n  10 [size=\"40212480\", alpha=\"0.11\", expect_size=\"16084992\"] \n  10 -> 36 [size =\"16084992\"]\n  10 -> 38 [size =\"16084992\"]\n  10 -> 42 [size =\"16084992\"]\n  10 -> 44 [size =\"16084992\"]\n  10 -> 45 [size =\"16084992\"]\n  11 [size=\"54077440\", alpha=\"0.04\", expect_size=\"21630976\"] \n  11 -> 36 [size =\"21630976\"]\n  11 -> 38 [size =\"21630976\"]\n  11 -> 43 [size =\"21630976\"]\n  11 -> 45 [size =\"21630976\"]\n  12 [size=\"121912320\", alpha=\"0.13\", expect_size=\"48764928\"] \n  12 -> 38 [size =\"48764928\"]\n  12 -> 39 [size =\"48764928\"]\n  12 -> 40 [size =\"48764928\"]\n  12 -> 42 [size =\"48764928\"]\n  12 -> 43 [size =\"48764928\"]\n  12 -> 44 [size =\"48764928\"]\n  13 [size=\"111708160\", alpha=\"0.08\", expect_size=\"44683264\"] \n  13 -> 37 [size =\"44683264\"]\n  13 -> 38 [size =\"44683264\"]\n  13 -> 39 [size =\"44683264\"]\n  13 -> 41 [size =\"44683264\"]\n  13 -> 42 [size =\"44683264\"]\n  13 -> 44 [size =\"44683264\"]\n  13 -> 45 [size =\"44683264\"]\n  14 [size=\"53703680\", alpha=\"0.16\", expect_size=\"21481472\"] \n  14 -> 36 [size =\"21481472\"]\n  14 -> 38 [size =\"21481472\"]\n  14 -> 39 [size =\"21481472\"]\n  14 -> 42 [size =\"21481472\"]\n  14 -> 42 [size =\"21481472\"]\n  14 -> 44 [size =\"21481472\"]\n  15 [size=\"30786560\", alpha=\"0.19\", expect_size=\"12314624\"] \n  15 -> 36 [size =\"12314624\"]\n  15 -> 39 [size =\"12314624\"]\n  15 -> 41 [size =\"12314624\"]\n  15 -> 44 [size =\"12314624\"]\n  15 -> 45 [size =\"12314624\"]\n  16 [size=\"130629120\", alpha=\"0.02\", expect_size=\"52251648\"] \n  16 -> 36 [size =\"52251648\"]\n  16 -> 42 [size =\"52251648\"]\n  17 [size=\"35356160\", alpha=\"0.12\", expect_size=\"14142464\"] \n  17 -> 36 [size =\"14142464\"]\n  17 -> 38 [size =\"14142464\"]\n  17 -> 42 [size =\"14142464\"]\n  17 -> 43 [size =\"14142464\"]\n  17 -> 45 [size =\"14142464\"]\n  18 [size=\"58534400\", alpha=\"0.05\", expect_size=\"23413760\"] \n  18 -> 36 [size =\"23413760\"]\n  18 -> 37 [size =\"23413760\"]\n  18 -> 38 [size =\"23413760\"]\n  18 -> 39 [size =\"23413760\"]\n  18 -> 43 [size =\"23413760\"]\n  18 -> 45 [size =\"23413760\"]\n  19 [size=\"110620160\", alpha=\"0.02\", expect_size=\"44248064\"] \n  19 -> 36 [size =\"44248064\"]\n  19 -> 39 [size =\"44248064\"]\n  19 -> 40 [size =\"44248064\"]\n  19 -> 44 [size =\"44248064\"]\n  20 [size=\"96614400\", alpha=\"0.15\", expect_size=\"38645760\"] \n  20 -> 36 [size =\"38645760\"]\n  20 -> 39 [size =\"38645760\"]\n  20 -> 42 [size =\"38645760\"]\n  20 -> 44 [size =\"38645760\"]\n  20 -> 45 [size =\"38645760\"]\n  21 [size=\"43394560\", alpha=\"0.13\", expect_size=\"17357824\"] \n  22 [size=\"68016640\", alpha=\"0.09\", expect_size=\"27206656\"] \n  22 -> 36 [size =\"27206656\"]\n  22 -> 38 [size =\"27206656\"]\n  22 -> 39 [size =\"27206656\"]\n  22 -> 41 [size =\"27206656\"]\n  22 -> 43 [size =\"27206656\"]\n  22 -> 44 [size =\"27206656\"]\n  22 -> 45 [size =\"27206656\"]\n  23 [size=\"25410560\", alpha=\"0.14\", expect_size=\"10164224\"] \n  23 -> 36 [size =\"10164224\"]\n  23 -> 38 [size =\"10164224\"]\n  23 -> 39 [size =\"10164224\"]\n  23 -> 40 [size =\"10164224\"]\n  23 -> 44 [size =\"10164224\"]\n  23 -> 45 [size =\"10164224\"]\n  24 [size=\"71160320\", alpha=\"0.15\", expect_size=\"28464128\"] \n  24 -> 36 [size =\"28464128\"]\n  24 -> 40 [size =\"28464128\"]\n  24 -> 44 [size =\"28464128\"]\n  25 [size=\"50245120\", alpha=\"0.13\", expect_size=\"20098048\"] \n  25 -> 42 [size =\"20098048\"]\n  25 -> 43 [size =\"20098048\"]\n  25 -> 45 [size =\"20098048\"]\n  26 [size=\"47045120\", alpha=\"0.08\", expect_size=\"18818048\"] \n  26 -> 39 [size =\"18818048\"]\n  26 -> 40 [size =\"18818048\"]\n  26 -> 43 [size =\"18818048\"]\n  26 -> 45 [size =\"18818048\"]\n  27 [size=\"60431360\", alpha=\"0.10\", expect_size=\"24172544\"] \n  27 -> 38 [size =\"24172544\"]\n  27 -> 39 [size =\"24172544\"]\n  27 -> 42 [size =\"24172544\"]\n  27 -> 43 [size =\"24172544\"]\n  27 -> 44 [size =\"24172544\"]\n  28 [size=\"13913600\", alpha=\"0.15\", expect_size=\"5565440\"] \n  28 -> 36 [size =\"5565440\"]\n  28 -> 38 [size =\"5565440\"]\n  28 -> 39 [size =\"5565440\"]\n  28 -> 41 [size =\"5565440\"]\n  28 -> 43 [size =\"5565440\"]\n  28 -> 44 [size =\"5565440\"]\n  28 -> 45 [size =\"5565440\"]\n  29 [size=\"42449920\", alpha=\"0.18\", expect_size=\"16979968\"] \n  29 -> 36 [size =\"16979968\"]\n  29 -> 39 [size =\"16979968\"]\n  29 -> 39 [size =\"16979968\"]\n  29 -> 42 [size =\"16979968\"]\n  29 -> 44 [size =\"16979968\"]\n  29 -> 44 [size =\"16979968\"]\n  29 -> 45 [size =\"16979968\"]\n  30 [size=\"53859840\", alpha=\"0.04\", expect_size=\"21543936\"] \n  30 -> 39 [size =\"21543936\"]\n  30 -> 42 [size =\"21543936\"]\n  30 -> 43 [size =\"21543936\"]\n  30 -> 44 [size =\"21543936\"]\n  30 -> 44 [size =\"21543936\"]\n  30 -> 45 [size =\"21543936\"]\n  31 [size=\"22356480\", alpha=\"0.18\", expect_size=\"8942592\"] \n  31 -> 36 [size =\"8942592\"]\n  31 -> 38 [size =\"8942592\"]\n  31 -> 40 [size =\"8942592\"]\n  31 -> 42 [size =\"8942592\"]\n  31 -> 44 [size =\"8942592\"]\n  32 [size=\"101644800\", alpha=\"0.10\", expect_size=\"40657920\"] \n  32 -> 36 [size =\"40657920\"]\n  32 -> 39 [size =\"40657920\"]\n  32 -> 41 [size =\"40657920\"]\n  32 -> 42 [size =\"40657920\"]\n  32 -> 43 [size =\"40657920\"]\n  32 -> 44 [size =\"40657920\"]\n  33 [size=\"34872320\", alpha=\"0.19\", expect_size=\"13948928\"] \n  33 -> 36 [size =\"13948928\"]\n  33 -> 43 [size =\"13948928\"]\n  33 -> 44 [size =\"13948928\"]\n  33 -> 45 [size =\"13948928\"]\n  34 [size=\"118858240\", alpha=\"0.15\", expect_size=\"47543296\"] \n  34 -> 43 [size =\"47543296\"]\n  34 -> 43 [size =\"47543296\"]\n  34 -> 44 [size =\"47543296\"]\n  34 -> 45 [size =\"47543296\"]\n  35 [size=\"87866880\", alpha=\"0.13\", expect_size=\"35146752\"] \n  35 -> 38 [size =\"35146752\"]\n  35 -> 43 [size =\"35146752\"]\n  35 -> 45 [size =\"35146752\"]\n  36 [size=\"45263360\", alpha=\"0.12\", expect_size=\"18105344\"] \n  37 [size=\"91269120\", alpha=\"0.14\", expect_size=\"36507648\"] \n  38 [size=\"34583040\", alpha=\"0.05\", expect_size=\"13833216\"] \n  39 [size=\"125816320\", alpha=\"0.11\", expect_size=\"50326528\"] \n  40 [size=\"111682560\", alpha=\"0.12\", expect_size=\"44673024\"] \n  41 [size=\"19287040\", alpha=\"0.18\", expect_size=\"7714816\"] \n  42 [size=\"125534720\", alpha=\"0.13\", expect_size=\"50213888\"] \n  43 [size=\"67371520\", alpha=\"0.11\", expect_size=\"26948608\"] \n  44 [size=\"61360640\", alpha=\"0.18\", expect_size=\"24544256\"] \n  45 [size=\"30141440\", alpha=\"0.11\", expect_size=\"12056576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52092928\", alpha=\"0.03\", expect_size=\"26046464\"] \n  1 -> 14 [size =\"26046464\"]\n  1 -> 16 [size =\"26046464\"]\n  1 -> 17 [size =\"26046464\"]\n  1 -> 18 [size =\"26046464\"]\n  1 -> 21 [size =\"26046464\"]\n  2 [size=\"10553344\", alpha=\"0.08\", expect_size=\"5276672\"] \n  2 -> 15 [size =\"5276672\"]\n  2 -> 23 [size =\"5276672\"]\n  3 [size=\"12726272\", alpha=\"0.15\", expect_size=\"6363136\"] \n  3 -> 13 [size =\"6363136\"]\n  3 -> 16 [size =\"6363136\"]\n  3 -> 17 [size =\"6363136\"]\n  3 -> 20 [size =\"6363136\"]\n  3 -> 21 [size =\"6363136\"]\n  3 -> 22 [size =\"6363136\"]\n  3 -> 25 [size =\"6363136\"]\n  4 [size=\"95895552\", alpha=\"0.01\", expect_size=\"47947776\"] \n  4 -> 14 [size =\"47947776\"]\n  4 -> 17 [size =\"47947776\"]\n  4 -> 19 [size =\"47947776\"]\n  4 -> 22 [size =\"47947776\"]\n  5 [size=\"76972032\", alpha=\"0.11\", expect_size=\"38486016\"] \n  5 -> 13 [size =\"38486016\"]\n  5 -> 14 [size =\"38486016\"]\n  5 -> 16 [size =\"38486016\"]\n  5 -> 17 [size =\"38486016\"]\n  5 -> 20 [size =\"38486016\"]\n  5 -> 23 [size =\"38486016\"]\n  6 [size=\"11436032\", alpha=\"0.12\", expect_size=\"5718016\"] \n  6 -> 14 [size =\"5718016\"]\n  6 -> 15 [size =\"5718016\"]\n  6 -> 23 [size =\"5718016\"]\n  7 [size=\"19472384\", alpha=\"0.12\", expect_size=\"9736192\"] \n  7 -> 14 [size =\"9736192\"]\n  7 -> 16 [size =\"9736192\"]\n  7 -> 20 [size =\"9736192\"]\n  7 -> 21 [size =\"9736192\"]\n  7 -> 22 [size =\"9736192\"]\n  7 -> 23 [size =\"9736192\"]\n  7 -> 25 [size =\"9736192\"]\n  8 [size=\"94691328\", alpha=\"0.05\", expect_size=\"47345664\"] \n  8 -> 18 [size =\"47345664\"]\n  9 [size=\"63096832\", alpha=\"0.07\", expect_size=\"31548416\"] \n  9 -> 13 [size =\"31548416\"]\n  9 -> 15 [size =\"31548416\"]\n  9 -> 17 [size =\"31548416\"]\n  9 -> 18 [size =\"31548416\"]\n  9 -> 23 [size =\"31548416\"]\n  9 -> 24 [size =\"31548416\"]\n  9 -> 25 [size =\"31548416\"]\n  10 [size=\"99276800\", alpha=\"0.16\", expect_size=\"49638400\"] \n  10 -> 13 [size =\"49638400\"]\n  10 -> 14 [size =\"49638400\"]\n  10 -> 15 [size =\"49638400\"]\n  10 -> 16 [size =\"49638400\"]\n  10 -> 17 [size =\"49638400\"]\n  10 -> 21 [size =\"49638400\"]\n  10 -> 25 [size =\"49638400\"]\n  11 [size=\"80326656\", alpha=\"0.11\", expect_size=\"40163328\"] \n  11 -> 13 [size =\"40163328\"]\n  11 -> 14 [size =\"40163328\"]\n  11 -> 15 [size =\"40163328\"]\n  11 -> 16 [size =\"40163328\"]\n  11 -> 17 [size =\"40163328\"]\n  11 -> 20 [size =\"40163328\"]\n  12 [size=\"94617600\", alpha=\"0.04\", expect_size=\"47308800\"] \n  12 -> 14 [size =\"47308800\"]\n  12 -> 15 [size =\"47308800\"]\n  12 -> 18 [size =\"47308800\"]\n  12 -> 19 [size =\"47308800\"]\n  12 -> 20 [size =\"47308800\"]\n  12 -> 22 [size =\"47308800\"]\n  12 -> 25 [size =\"47308800\"]\n  13 [size=\"39686144\", alpha=\"0.15\", expect_size=\"19843072\"] \n  13 -> 30 [size =\"19843072\"]\n  13 -> 32 [size =\"19843072\"]\n  13 -> 34 [size =\"19843072\"]\n  13 -> 37 [size =\"19843072\"]\n  14 [size=\"14909440\", alpha=\"0.02\", expect_size=\"7454720\"] \n  14 -> 27 [size =\"7454720\"]\n  14 -> 31 [size =\"7454720\"]\n  14 -> 32 [size =\"7454720\"]\n  14 -> 37 [size =\"7454720\"]\n  15 [size=\"21510144\", alpha=\"0.20\", expect_size=\"10755072\"] \n  15 -> 28 [size =\"10755072\"]\n  15 -> 29 [size =\"10755072\"]\n  15 -> 30 [size =\"10755072\"]\n  16 [size=\"71364608\", alpha=\"0.10\", expect_size=\"35682304\"] \n  16 -> 29 [size =\"35682304\"]\n  16 -> 30 [size =\"35682304\"]\n  16 -> 32 [size =\"35682304\"]\n  17 [size=\"33880064\", alpha=\"0.08\", expect_size=\"16940032\"] \n  17 -> 28 [size =\"16940032\"]\n  17 -> 30 [size =\"16940032\"]\n  17 -> 34 [size =\"16940032\"]\n  17 -> 36 [size =\"16940032\"]\n  17 -> 37 [size =\"16940032\"]\n  18 [size=\"90376192\", alpha=\"0.03\", expect_size=\"45188096\"] \n  18 -> 26 [size =\"45188096\"]\n  18 -> 28 [size =\"45188096\"]\n  18 -> 33 [size =\"45188096\"]\n  18 -> 35 [size =\"45188096\"]\n  18 -> 36 [size =\"45188096\"]\n  18 -> 37 [size =\"45188096\"]\n  19 [size=\"19628032\", alpha=\"0.10\", expect_size=\"9814016\"] \n  19 -> 26 [size =\"9814016\"]\n  19 -> 27 [size =\"9814016\"]\n  19 -> 29 [size =\"9814016\"]\n  19 -> 32 [size =\"9814016\"]\n  19 -> 33 [size =\"9814016\"]\n  19 -> 34 [size =\"9814016\"]\n  19 -> 36 [size =\"9814016\"]\n  20 [size=\"54941696\", alpha=\"0.06\", expect_size=\"27470848\"] \n  20 -> 28 [size =\"27470848\"]\n  20 -> 32 [size =\"27470848\"]\n  20 -> 34 [size =\"27470848\"]\n  20 -> 36 [size =\"27470848\"]\n  21 [size=\"34557952\", alpha=\"0.11\", expect_size=\"17278976\"] \n  21 -> 26 [size =\"17278976\"]\n  21 -> 27 [size =\"17278976\"]\n  21 -> 29 [size =\"17278976\"]\n  21 -> 30 [size =\"17278976\"]\n  21 -> 31 [size =\"17278976\"]\n  21 -> 32 [size =\"17278976\"]\n  21 -> 34 [size =\"17278976\"]\n  22 [size=\"86460416\", alpha=\"0.16\", expect_size=\"43230208\"] \n  22 -> 28 [size =\"43230208\"]\n  22 -> 30 [size =\"43230208\"]\n  22 -> 32 [size =\"43230208\"]\n  22 -> 34 [size =\"43230208\"]\n  22 -> 37 [size =\"43230208\"]\n  23 [size=\"103348224\", alpha=\"0.01\", expect_size=\"51674112\"] \n  23 -> 26 [size =\"51674112\"]\n  23 -> 28 [size =\"51674112\"]\n  23 -> 30 [size =\"51674112\"]\n  23 -> 31 [size =\"51674112\"]\n  23 -> 33 [size =\"51674112\"]\n  23 -> 36 [size =\"51674112\"]\n  24 [size=\"79935488\", alpha=\"0.04\", expect_size=\"39967744\"] \n  24 -> 26 [size =\"39967744\"]\n  24 -> 27 [size =\"39967744\"]\n  24 -> 28 [size =\"39967744\"]\n  24 -> 30 [size =\"39967744\"]\n  24 -> 34 [size =\"39967744\"]\n  24 -> 36 [size =\"39967744\"]\n  25 [size=\"90615808\", alpha=\"0.02\", expect_size=\"45307904\"] \n  25 -> 28 [size =\"45307904\"]\n  25 -> 32 [size =\"45307904\"]\n  25 -> 34 [size =\"45307904\"]\n  25 -> 36 [size =\"45307904\"]\n  26 [size=\"89946112\", alpha=\"0.20\", expect_size=\"44973056\"] \n  26 -> 40 [size =\"44973056\"]\n  27 [size=\"44382208\", alpha=\"0.19\", expect_size=\"22191104\"] \n  27 -> 42 [size =\"22191104\"]\n  27 -> 44 [size =\"22191104\"]\n  28 [size=\"80670720\", alpha=\"0.17\", expect_size=\"40335360\"] \n  28 -> 39 [size =\"40335360\"]\n  28 -> 41 [size =\"40335360\"]\n  28 -> 42 [size =\"40335360\"]\n  29 [size=\"95455232\", alpha=\"0.05\", expect_size=\"47727616\"] \n  29 -> 40 [size =\"47727616\"]\n  29 -> 41 [size =\"47727616\"]\n  29 -> 42 [size =\"47727616\"]\n  30 [size=\"49457152\", alpha=\"0.12\", expect_size=\"24728576\"] \n  30 -> 38 [size =\"24728576\"]\n  30 -> 42 [size =\"24728576\"]\n  30 -> 45 [size =\"24728576\"]\n  31 [size=\"78761984\", alpha=\"0.15\", expect_size=\"39380992\"] \n  31 -> 39 [size =\"39380992\"]\n  31 -> 41 [size =\"39380992\"]\n  31 -> 42 [size =\"39380992\"]\n  31 -> 43 [size =\"39380992\"]\n  32 [size=\"36233216\", alpha=\"0.15\", expect_size=\"18116608\"] \n  32 -> 41 [size =\"18116608\"]\n  32 -> 42 [size =\"18116608\"]\n  32 -> 44 [size =\"18116608\"]\n  32 -> 45 [size =\"18116608\"]\n  33 [size=\"16312320\", alpha=\"0.01\", expect_size=\"8156160\"] \n  33 -> 39 [size =\"8156160\"]\n  33 -> 43 [size =\"8156160\"]\n  34 [size=\"21241856\", alpha=\"0.08\", expect_size=\"10620928\"] \n  35 [size=\"42057728\", alpha=\"0.17\", expect_size=\"21028864\"] \n  35 -> 39 [size =\"21028864\"]\n  35 -> 44 [size =\"21028864\"]\n  36 [size=\"50874368\", alpha=\"0.20\", expect_size=\"25437184\"] \n  36 -> 39 [size =\"25437184\"]\n  36 -> 44 [size =\"25437184\"]\n  37 [size=\"48648192\", alpha=\"0.07\", expect_size=\"24324096\"] \n  38 [size=\"44361728\", alpha=\"0.11\", expect_size=\"22180864\"] \n  39 [size=\"27852800\", alpha=\"0.18\", expect_size=\"13926400\"] \n  40 [size=\"51732480\", alpha=\"0.13\", expect_size=\"25866240\"] \n  41 [size=\"16050176\", alpha=\"0.14\", expect_size=\"8025088\"] \n  42 [size=\"85016576\", alpha=\"0.11\", expect_size=\"42508288\"] \n  43 [size=\"59654144\", alpha=\"0.07\", expect_size=\"29827072\"] \n  44 [size=\"63533056\", alpha=\"0.19\", expect_size=\"31766528\"] \n  45 [size=\"101076992\", alpha=\"0.07\", expect_size=\"50538496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33495040\", alpha=\"0.10\", expect_size=\"13398016\"] \n  1 -> 4 [size =\"13398016\"]\n  2 [size=\"85591040\", alpha=\"0.07\", expect_size=\"34236416\"] \n  3 [size=\"36433920\", alpha=\"0.15\", expect_size=\"14573568\"] \n  3 -> 4 [size =\"14573568\"]\n  3 -> 5 [size =\"14573568\"]\n  4 [size=\"71032320\", alpha=\"0.07\", expect_size=\"28412928\"] \n  4 -> 6 [size =\"28412928\"]\n  5 [size=\"102837760\", alpha=\"0.16\", expect_size=\"41135104\"] \n  6 [size=\"21511680\", alpha=\"0.03\", expect_size=\"8604672\"] \n  6 -> 7 [size =\"8604672\"]\n  6 -> 8 [size =\"8604672\"]\n  7 [size=\"91404800\", alpha=\"0.05\", expect_size=\"36561920\"] \n  7 -> 9 [size =\"36561920\"]\n  7 -> 10 [size =\"36561920\"]\n  8 [size=\"96647680\", alpha=\"0.16\", expect_size=\"38659072\"] \n  8 -> 10 [size =\"38659072\"]\n  9 [size=\"97871360\", alpha=\"0.15\", expect_size=\"39148544\"] \n  9 -> 12 [size =\"39148544\"]\n  9 -> 13 [size =\"39148544\"]\n  10 [size=\"106063360\", alpha=\"0.04\", expect_size=\"42425344\"] \n  10 -> 11 [size =\"42425344\"]\n  11 [size=\"27653120\", alpha=\"0.18\", expect_size=\"11061248\"] \n  11 -> 15 [size =\"11061248\"]\n  12 [size=\"86888960\", alpha=\"0.09\", expect_size=\"34755584\"] \n  12 -> 14 [size =\"34755584\"]\n  13 [size=\"128381440\", alpha=\"0.02\", expect_size=\"51352576\"] \n  13 -> 14 [size =\"51352576\"]\n  14 [size=\"98040320\", alpha=\"0.14\", expect_size=\"39216128\"] \n  14 -> 17 [size =\"39216128\"]\n  14 -> 18 [size =\"39216128\"]\n  15 [size=\"20421120\", alpha=\"0.06\", expect_size=\"8168448\"] \n  15 -> 16 [size =\"8168448\"]\n  15 -> 17 [size =\"8168448\"]\n  16 [size=\"112468480\", alpha=\"0.13\", expect_size=\"44987392\"] \n  17 [size=\"130442240\", alpha=\"0.04\", expect_size=\"52176896\"] \n  17 -> 19 [size =\"52176896\"]\n  17 -> 20 [size =\"52176896\"]\n  18 [size=\"40542720\", alpha=\"0.03\", expect_size=\"16217088\"] \n  18 -> 20 [size =\"16217088\"]\n  19 [size=\"14118400\", alpha=\"0.20\", expect_size=\"5647360\"] \n  19 -> 21 [size =\"5647360\"]\n  20 [size=\"104117760\", alpha=\"0.14\", expect_size=\"41647104\"] \n  20 -> 21 [size =\"41647104\"]\n  21 [size=\"124782080\", alpha=\"0.12\", expect_size=\"49912832\"] \n  21 -> 22 [size =\"49912832\"]\n  22 [size=\"111073280\", alpha=\"0.02\", expect_size=\"44429312\"] \n  22 -> 23 [size =\"44429312\"]\n  22 -> 24 [size =\"44429312\"]\n  23 [size=\"44889600\", alpha=\"0.16\", expect_size=\"17955840\"] \n  23 -> 25 [size =\"17955840\"]\n  23 -> 26 [size =\"17955840\"]\n  24 [size=\"54046720\", alpha=\"0.00\", expect_size=\"21618688\"] \n  24 -> 26 [size =\"21618688\"]\n  24 -> 27 [size =\"21618688\"]\n  25 [size=\"16458240\", alpha=\"0.20\", expect_size=\"6583296\"] \n  26 [size=\"51914240\", alpha=\"0.00\", expect_size=\"20765696\"] \n  26 -> 28 [size =\"20765696\"]\n  27 [size=\"126005760\", alpha=\"0.14\", expect_size=\"50402304\"] \n  27 -> 28 [size =\"50402304\"]\n  28 [size=\"31229440\", alpha=\"0.02\", expect_size=\"12491776\"] \n  28 -> 29 [size =\"12491776\"]\n  28 -> 30 [size =\"12491776\"]\n  28 -> 31 [size =\"12491776\"]\n  28 -> 32 [size =\"12491776\"]\n  29 [size=\"50508800\", alpha=\"0.05\", expect_size=\"20203520\"] \n  29 -> 34 [size =\"20203520\"]\n  30 [size=\"47782400\", alpha=\"0.03\", expect_size=\"19112960\"] \n  30 -> 34 [size =\"19112960\"]\n  30 -> 35 [size =\"19112960\"]\n  30 -> 36 [size =\"19112960\"]\n  31 [size=\"130549760\", alpha=\"0.04\", expect_size=\"52219904\"] \n  31 -> 33 [size =\"52219904\"]\n  32 [size=\"83266560\", alpha=\"0.17\", expect_size=\"33306624\"] \n  33 [size=\"96384000\", alpha=\"0.10\", expect_size=\"38553600\"] \n  33 -> 37 [size =\"38553600\"]\n  34 [size=\"75264000\", alpha=\"0.17\", expect_size=\"30105600\"] \n  34 -> 37 [size =\"30105600\"]\n  35 [size=\"77834240\", alpha=\"0.05\", expect_size=\"31133696\"] \n  35 -> 37 [size =\"31133696\"]\n  36 [size=\"75865600\", alpha=\"0.10\", expect_size=\"30346240\"] \n  37 [size=\"77760000\", alpha=\"0.16\", expect_size=\"31104000\"] \n  37 -> 38 [size =\"31104000\"]\n  37 -> 39 [size =\"31104000\"]\n  37 -> 40 [size =\"31104000\"]\n  37 -> 41 [size =\"31104000\"]\n  38 [size=\"43850240\", alpha=\"0.05\", expect_size=\"17540096\"] \n  39 [size=\"57676800\", alpha=\"0.15\", expect_size=\"23070720\"] \n  39 -> 42 [size =\"23070720\"]\n  40 [size=\"86046720\", alpha=\"0.01\", expect_size=\"34418688\"] \n  40 -> 42 [size =\"34418688\"]\n  40 -> 43 [size =\"34418688\"]\n  41 [size=\"103943680\", alpha=\"0.05\", expect_size=\"41577472\"] \n  41 -> 43 [size =\"41577472\"]\n  41 -> 43 [size =\"41577472\"]\n  42 [size=\"125921280\", alpha=\"0.06\", expect_size=\"50368512\"] \n  42 -> 44 [size =\"50368512\"]\n  42 -> 45 [size =\"50368512\"]\n  43 [size=\"107793920\", alpha=\"0.12\", expect_size=\"43117568\"] \n  43 -> 44 [size =\"43117568\"]\n  43 -> 45 [size =\"43117568\"]\n  44 [size=\"46876160\", alpha=\"0.05\", expect_size=\"18750464\"] \n  45 [size=\"28101120\", alpha=\"0.19\", expect_size=\"11240448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99725312\", alpha=\"0.13\", expect_size=\"49862656\"] \n  1 -> 3 [size =\"49862656\"]\n  1 -> 4 [size =\"49862656\"]\n  2 [size=\"41117696\", alpha=\"0.08\", expect_size=\"20558848\"] \n  2 -> 3 [size =\"20558848\"]\n  2 -> 4 [size =\"20558848\"]\n  3 [size=\"44949504\", alpha=\"0.16\", expect_size=\"22474752\"] \n  3 -> 5 [size =\"22474752\"]\n  3 -> 6 [size =\"22474752\"]\n  4 [size=\"22521856\", alpha=\"0.19\", expect_size=\"11260928\"] \n  4 -> 5 [size =\"11260928\"]\n  4 -> 6 [size =\"11260928\"]\n  4 -> 7 [size =\"11260928\"]\n  5 [size=\"22865920\", alpha=\"0.05\", expect_size=\"11432960\"] \n  5 -> 8 [size =\"11432960\"]\n  6 [size=\"32159744\", alpha=\"0.07\", expect_size=\"16079872\"] \n  6 -> 8 [size =\"16079872\"]\n  6 -> 9 [size =\"16079872\"]\n  7 [size=\"49332224\", alpha=\"0.19\", expect_size=\"24666112\"] \n  7 -> 8 [size =\"24666112\"]\n  8 [size=\"19761152\", alpha=\"0.14\", expect_size=\"9880576\"] \n  8 -> 10 [size =\"9880576\"]\n  8 -> 11 [size =\"9880576\"]\n  9 [size=\"73406464\", alpha=\"0.11\", expect_size=\"36703232\"] \n  9 -> 10 [size =\"36703232\"]\n  9 -> 11 [size =\"36703232\"]\n  10 [size=\"37556224\", alpha=\"0.19\", expect_size=\"18778112\"] \n  10 -> 14 [size =\"18778112\"]\n  11 [size=\"31920128\", alpha=\"0.05\", expect_size=\"15960064\"] \n  11 -> 12 [size =\"15960064\"]\n  11 -> 13 [size =\"15960064\"]\n  11 -> 14 [size =\"15960064\"]\n  12 [size=\"94992384\", alpha=\"0.12\", expect_size=\"47496192\"] \n  12 -> 15 [size =\"47496192\"]\n  13 [size=\"40175616\", alpha=\"0.03\", expect_size=\"20087808\"] \n  13 -> 15 [size =\"20087808\"]\n  13 -> 17 [size =\"20087808\"]\n  14 [size=\"23578624\", alpha=\"0.03\", expect_size=\"11789312\"] \n  14 -> 15 [size =\"11789312\"]\n  14 -> 16 [size =\"11789312\"]\n  14 -> 17 [size =\"11789312\"]\n  15 [size=\"18341888\", alpha=\"0.10\", expect_size=\"9170944\"] \n  15 -> 18 [size =\"9170944\"]\n  15 -> 19 [size =\"9170944\"]\n  16 [size=\"43239424\", alpha=\"0.10\", expect_size=\"21619712\"] \n  16 -> 18 [size =\"21619712\"]\n  16 -> 19 [size =\"21619712\"]\n  17 [size=\"75919360\", alpha=\"0.03\", expect_size=\"37959680\"] \n  17 -> 20 [size =\"37959680\"]\n  18 [size=\"70729728\", alpha=\"0.12\", expect_size=\"35364864\"] \n  18 -> 21 [size =\"35364864\"]\n  18 -> 22 [size =\"35364864\"]\n  18 -> 23 [size =\"35364864\"]\n  19 [size=\"42924032\", alpha=\"0.06\", expect_size=\"21462016\"] \n  19 -> 21 [size =\"21462016\"]\n  19 -> 22 [size =\"21462016\"]\n  19 -> 23 [size =\"21462016\"]\n  20 [size=\"95059968\", alpha=\"0.17\", expect_size=\"47529984\"] \n  20 -> 21 [size =\"47529984\"]\n  20 -> 22 [size =\"47529984\"]\n  20 -> 23 [size =\"47529984\"]\n  21 [size=\"91863040\", alpha=\"0.07\", expect_size=\"45931520\"] \n  21 -> 24 [size =\"45931520\"]\n  21 -> 25 [size =\"45931520\"]\n  21 -> 26 [size =\"45931520\"]\n  22 [size=\"23310336\", alpha=\"0.03\", expect_size=\"11655168\"] \n  22 -> 24 [size =\"11655168\"]\n  22 -> 26 [size =\"11655168\"]\n  23 [size=\"80027648\", alpha=\"0.07\", expect_size=\"40013824\"] \n  23 -> 24 [size =\"40013824\"]\n  23 -> 26 [size =\"40013824\"]\n  24 [size=\"92047360\", alpha=\"0.13\", expect_size=\"46023680\"] \n  24 -> 27 [size =\"46023680\"]\n  24 -> 28 [size =\"46023680\"]\n  25 [size=\"13815808\", alpha=\"0.02\", expect_size=\"6907904\"] \n  25 -> 27 [size =\"6907904\"]\n  25 -> 28 [size =\"6907904\"]\n  25 -> 29 [size =\"6907904\"]\n  26 [size=\"63176704\", alpha=\"0.15\", expect_size=\"31588352\"] \n  26 -> 28 [size =\"31588352\"]\n  27 [size=\"15839232\", alpha=\"0.17\", expect_size=\"7919616\"] \n  27 -> 30 [size =\"7919616\"]\n  28 [size=\"27789312\", alpha=\"0.00\", expect_size=\"13894656\"] \n  28 -> 30 [size =\"13894656\"]\n  29 [size=\"85389312\", alpha=\"0.17\", expect_size=\"42694656\"] \n  29 -> 31 [size =\"42694656\"]\n  30 [size=\"21248000\", alpha=\"0.00\", expect_size=\"10624000\"] \n  30 -> 32 [size =\"10624000\"]\n  30 -> 33 [size =\"10624000\"]\n  30 -> 34 [size =\"10624000\"]\n  31 [size=\"102889472\", alpha=\"0.07\", expect_size=\"51444736\"] \n  31 -> 32 [size =\"51444736\"]\n  31 -> 33 [size =\"51444736\"]\n  32 [size=\"42067968\", alpha=\"0.12\", expect_size=\"21033984\"] \n  32 -> 35 [size =\"21033984\"]\n  32 -> 36 [size =\"21033984\"]\n  33 [size=\"58159104\", alpha=\"0.04\", expect_size=\"29079552\"] \n  33 -> 36 [size =\"29079552\"]\n  33 -> 37 [size =\"29079552\"]\n  34 [size=\"91256832\", alpha=\"0.18\", expect_size=\"45628416\"] \n  34 -> 37 [size =\"45628416\"]\n  34 -> 37 [size =\"45628416\"]\n  35 [size=\"59025408\", alpha=\"0.14\", expect_size=\"29512704\"] \n  35 -> 38 [size =\"29512704\"]\n  35 -> 39 [size =\"29512704\"]\n  35 -> 40 [size =\"29512704\"]\n  36 [size=\"68218880\", alpha=\"0.16\", expect_size=\"34109440\"] \n  36 -> 38 [size =\"34109440\"]\n  36 -> 39 [size =\"34109440\"]\n  36 -> 40 [size =\"34109440\"]\n  37 [size=\"46139392\", alpha=\"0.13\", expect_size=\"23069696\"] \n  37 -> 38 [size =\"23069696\"]\n  37 -> 39 [size =\"23069696\"]\n  37 -> 40 [size =\"23069696\"]\n  38 [size=\"31633408\", alpha=\"0.03\", expect_size=\"15816704\"] \n  38 -> 41 [size =\"15816704\"]\n  39 [size=\"33980416\", alpha=\"0.19\", expect_size=\"16990208\"] \n  39 -> 41 [size =\"16990208\"]\n  40 [size=\"21725184\", alpha=\"0.13\", expect_size=\"10862592\"] \n  40 -> 41 [size =\"10862592\"]\n  40 -> 42 [size =\"10862592\"]\n  41 [size=\"21944320\", alpha=\"0.04\", expect_size=\"10972160\"] \n  41 -> 43 [size =\"10972160\"]\n  41 -> 44 [size =\"10972160\"]\n  41 -> 45 [size =\"10972160\"]\n  42 [size=\"56074240\", alpha=\"0.19\", expect_size=\"28037120\"] \n  42 -> 43 [size =\"28037120\"]\n  42 -> 44 [size =\"28037120\"]\n  43 [size=\"19873792\", alpha=\"0.08\", expect_size=\"9936896\"] \n  44 [size=\"37410816\", alpha=\"0.14\", expect_size=\"18705408\"] \n  45 [size=\"27406336\", alpha=\"0.01\", expect_size=\"13703168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75900928\", alpha=\"0.09\", expect_size=\"37950464\"] \n  1 -> 7 [size =\"37950464\"]\n  1 -> 10 [size =\"37950464\"]\n  1 -> 11 [size =\"37950464\"]\n  1 -> 11 [size =\"37950464\"]\n  2 [size=\"47042560\", alpha=\"0.00\", expect_size=\"23521280\"] \n  2 -> 7 [size =\"23521280\"]\n  2 -> 10 [size =\"23521280\"]\n  2 -> 11 [size =\"23521280\"]\n  3 [size=\"20224000\", alpha=\"0.18\", expect_size=\"10112000\"] \n  3 -> 7 [size =\"10112000\"]\n  3 -> 9 [size =\"10112000\"]\n  3 -> 10 [size =\"10112000\"]\n  4 [size=\"45547520\", alpha=\"0.07\", expect_size=\"22773760\"] \n  4 -> 7 [size =\"22773760\"]\n  4 -> 9 [size =\"22773760\"]\n  4 -> 10 [size =\"22773760\"]\n  4 -> 11 [size =\"22773760\"]\n  5 [size=\"95178752\", alpha=\"0.15\", expect_size=\"47589376\"] \n  5 -> 7 [size =\"47589376\"]\n  5 -> 8 [size =\"47589376\"]\n  5 -> 9 [size =\"47589376\"]\n  5 -> 10 [size =\"47589376\"]\n  6 [size=\"15011840\", alpha=\"0.02\", expect_size=\"7505920\"] \n  6 -> 7 [size =\"7505920\"]\n  6 -> 9 [size =\"7505920\"]\n  6 -> 9 [size =\"7505920\"]\n  6 -> 11 [size =\"7505920\"]\n  7 [size=\"52031488\", alpha=\"0.03\", expect_size=\"26015744\"] \n  7 -> 12 [size =\"26015744\"]\n  7 -> 14 [size =\"26015744\"]\n  7 -> 18 [size =\"26015744\"]\n  8 [size=\"22730752\", alpha=\"0.17\", expect_size=\"11365376\"] \n  8 -> 13 [size =\"11365376\"]\n  8 -> 14 [size =\"11365376\"]\n  8 -> 18 [size =\"11365376\"]\n  9 [size=\"54222848\", alpha=\"0.07\", expect_size=\"27111424\"] \n  9 -> 13 [size =\"27111424\"]\n  9 -> 15 [size =\"27111424\"]\n  9 -> 16 [size =\"27111424\"]\n  9 -> 17 [size =\"27111424\"]\n  9 -> 18 [size =\"27111424\"]\n  10 [size=\"24537088\", alpha=\"0.02\", expect_size=\"12268544\"] \n  10 -> 12 [size =\"12268544\"]\n  10 -> 13 [size =\"12268544\"]\n  10 -> 15 [size =\"12268544\"]\n  10 -> 16 [size =\"12268544\"]\n  11 [size=\"13778944\", alpha=\"0.17\", expect_size=\"6889472\"] \n  11 -> 12 [size =\"6889472\"]\n  11 -> 13 [size =\"6889472\"]\n  11 -> 14 [size =\"6889472\"]\n  11 -> 15 [size =\"6889472\"]\n  11 -> 16 [size =\"6889472\"]\n  11 -> 18 [size =\"6889472\"]\n  12 [size=\"54104064\", alpha=\"0.18\", expect_size=\"27052032\"] \n  12 -> 20 [size =\"27052032\"]\n  12 -> 21 [size =\"27052032\"]\n  12 -> 22 [size =\"27052032\"]\n  13 [size=\"55783424\", alpha=\"0.07\", expect_size=\"27891712\"] \n  13 -> 19 [size =\"27891712\"]\n  13 -> 21 [size =\"27891712\"]\n  13 -> 23 [size =\"27891712\"]\n  14 [size=\"44836864\", alpha=\"0.15\", expect_size=\"22418432\"] \n  14 -> 19 [size =\"22418432\"]\n  14 -> 21 [size =\"22418432\"]\n  14 -> 22 [size =\"22418432\"]\n  14 -> 23 [size =\"22418432\"]\n  15 [size=\"78497792\", alpha=\"0.17\", expect_size=\"39248896\"] \n  15 -> 19 [size =\"39248896\"]\n  15 -> 23 [size =\"39248896\"]\n  16 [size=\"55519232\", alpha=\"0.04\", expect_size=\"27759616\"] \n  16 -> 21 [size =\"27759616\"]\n  16 -> 23 [size =\"27759616\"]\n  17 [size=\"64194560\", alpha=\"0.18\", expect_size=\"32097280\"] \n  17 -> 21 [size =\"32097280\"]\n  17 -> 22 [size =\"32097280\"]\n  17 -> 23 [size =\"32097280\"]\n  18 [size=\"77387776\", alpha=\"0.09\", expect_size=\"38693888\"] \n  18 -> 21 [size =\"38693888\"]\n  18 -> 22 [size =\"38693888\"]\n  18 -> 23 [size =\"38693888\"]\n  19 [size=\"64428032\", alpha=\"0.20\", expect_size=\"32214016\"] \n  19 -> 24 [size =\"32214016\"]\n  19 -> 25 [size =\"32214016\"]\n  19 -> 26 [size =\"32214016\"]\n  19 -> 27 [size =\"32214016\"]\n  19 -> 28 [size =\"32214016\"]\n  19 -> 29 [size =\"32214016\"]\n  20 [size=\"96970752\", alpha=\"0.10\", expect_size=\"48485376\"] \n  20 -> 24 [size =\"48485376\"]\n  20 -> 25 [size =\"48485376\"]\n  20 -> 27 [size =\"48485376\"]\n  20 -> 28 [size =\"48485376\"]\n  20 -> 29 [size =\"48485376\"]\n  21 [size=\"12122112\", alpha=\"0.14\", expect_size=\"6061056\"] \n  21 -> 24 [size =\"6061056\"]\n  21 -> 25 [size =\"6061056\"]\n  21 -> 28 [size =\"6061056\"]\n  22 [size=\"94242816\", alpha=\"0.05\", expect_size=\"47121408\"] \n  22 -> 24 [size =\"47121408\"]\n  22 -> 26 [size =\"47121408\"]\n  22 -> 27 [size =\"47121408\"]\n  22 -> 28 [size =\"47121408\"]\n  22 -> 29 [size =\"47121408\"]\n  23 [size=\"83558400\", alpha=\"0.19\", expect_size=\"41779200\"] \n  23 -> 24 [size =\"41779200\"]\n  23 -> 25 [size =\"41779200\"]\n  23 -> 26 [size =\"41779200\"]\n  23 -> 28 [size =\"41779200\"]\n  23 -> 29 [size =\"41779200\"]\n  24 [size=\"20619264\", alpha=\"0.20\", expect_size=\"10309632\"] \n  24 -> 32 [size =\"10309632\"]\n  24 -> 32 [size =\"10309632\"]\n  24 -> 33 [size =\"10309632\"]\n  24 -> 34 [size =\"10309632\"]\n  24 -> 36 [size =\"10309632\"]\n  25 [size=\"93179904\", alpha=\"0.19\", expect_size=\"46589952\"] \n  25 -> 30 [size =\"46589952\"]\n  25 -> 31 [size =\"46589952\"]\n  25 -> 33 [size =\"46589952\"]\n  25 -> 34 [size =\"46589952\"]\n  25 -> 35 [size =\"46589952\"]\n  26 [size=\"78217216\", alpha=\"0.19\", expect_size=\"39108608\"] \n  26 -> 30 [size =\"39108608\"]\n  26 -> 33 [size =\"39108608\"]\n  26 -> 33 [size =\"39108608\"]\n  26 -> 34 [size =\"39108608\"]\n  26 -> 36 [size =\"39108608\"]\n  27 [size=\"97636352\", alpha=\"0.07\", expect_size=\"48818176\"] \n  27 -> 30 [size =\"48818176\"]\n  27 -> 31 [size =\"48818176\"]\n  27 -> 33 [size =\"48818176\"]\n  27 -> 35 [size =\"48818176\"]\n  27 -> 36 [size =\"48818176\"]\n  28 [size=\"88682496\", alpha=\"0.19\", expect_size=\"44341248\"] \n  28 -> 33 [size =\"44341248\"]\n  28 -> 35 [size =\"44341248\"]\n  29 [size=\"38479872\", alpha=\"0.19\", expect_size=\"19239936\"] \n  29 -> 30 [size =\"19239936\"]\n  29 -> 32 [size =\"19239936\"]\n  29 -> 34 [size =\"19239936\"]\n  29 -> 35 [size =\"19239936\"]\n  30 [size=\"37883904\", alpha=\"0.03\", expect_size=\"18941952\"] \n  30 -> 40 [size =\"18941952\"]\n  31 [size=\"84023296\", alpha=\"0.07\", expect_size=\"42011648\"] \n  31 -> 39 [size =\"42011648\"]\n  31 -> 40 [size =\"42011648\"]\n  31 -> 42 [size =\"42011648\"]\n  32 [size=\"53571584\", alpha=\"0.01\", expect_size=\"26785792\"] \n  32 -> 37 [size =\"26785792\"]\n  32 -> 40 [size =\"26785792\"]\n  32 -> 42 [size =\"26785792\"]\n  33 [size=\"77457408\", alpha=\"0.04\", expect_size=\"38728704\"] \n  33 -> 37 [size =\"38728704\"]\n  33 -> 38 [size =\"38728704\"]\n  33 -> 39 [size =\"38728704\"]\n  33 -> 40 [size =\"38728704\"]\n  33 -> 41 [size =\"38728704\"]\n  33 -> 42 [size =\"38728704\"]\n  34 [size=\"71051264\", alpha=\"0.14\", expect_size=\"35525632\"] \n  34 -> 37 [size =\"35525632\"]\n  34 -> 41 [size =\"35525632\"]\n  34 -> 42 [size =\"35525632\"]\n  35 [size=\"69412864\", alpha=\"0.19\", expect_size=\"34706432\"] \n  35 -> 37 [size =\"34706432\"]\n  35 -> 38 [size =\"34706432\"]\n  35 -> 41 [size =\"34706432\"]\n  35 -> 42 [size =\"34706432\"]\n  36 [size=\"62867456\", alpha=\"0.13\", expect_size=\"31433728\"] \n  36 -> 37 [size =\"31433728\"]\n  36 -> 38 [size =\"31433728\"]\n  36 -> 42 [size =\"31433728\"]\n  37 [size=\"55941120\", alpha=\"0.19\", expect_size=\"27970560\"] \n  37 -> 43 [size =\"27970560\"]\n  37 -> 44 [size =\"27970560\"]\n  38 [size=\"90181632\", alpha=\"0.19\", expect_size=\"45090816\"] \n  38 -> 43 [size =\"45090816\"]\n  38 -> 44 [size =\"45090816\"]\n  39 [size=\"83460096\", alpha=\"0.10\", expect_size=\"41730048\"] \n  39 -> 43 [size =\"41730048\"]\n  39 -> 44 [size =\"41730048\"]\n  40 [size=\"79517696\", alpha=\"0.20\", expect_size=\"39758848\"] \n  40 -> 45 [size =\"39758848\"]\n  41 [size=\"92407808\", alpha=\"0.10\", expect_size=\"46203904\"] \n  41 -> 44 [size =\"46203904\"]\n  42 [size=\"31053824\", alpha=\"0.18\", expect_size=\"15526912\"] \n  43 [size=\"33441792\", alpha=\"0.01\", expect_size=\"16720896\"] \n  44 [size=\"50503680\", alpha=\"0.06\", expect_size=\"25251840\"] \n  45 [size=\"22218752\", alpha=\"0.09\", expect_size=\"11109376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42407253\", alpha=\"0.11\", expect_size=\"12722176\"] \n  1 -> 2 [size =\"12722176\"]\n  2 [size=\"114380800\", alpha=\"0.00\", expect_size=\"34314240\"] \n  2 -> 3 [size =\"34314240\"]\n  3 [size=\"27798187\", alpha=\"0.06\", expect_size=\"8339456\"] \n  3 -> 4 [size =\"8339456\"]\n  4 [size=\"119623680\", alpha=\"0.01\", expect_size=\"35887104\"] \n  4 -> 5 [size =\"35887104\"]\n  5 [size=\"122593280\", alpha=\"0.03\", expect_size=\"36777984\"] \n  5 -> 6 [size =\"36777984\"]\n  6 [size=\"79380480\", alpha=\"0.06\", expect_size=\"23814144\"] \n  6 -> 7 [size =\"23814144\"]\n  7 [size=\"101942613\", alpha=\"0.03\", expect_size=\"30582784\"] \n  7 -> 8 [size =\"30582784\"]\n  8 [size=\"131170987\", alpha=\"0.16\", expect_size=\"39351296\"] \n  8 -> 9 [size =\"39351296\"]\n  9 [size=\"45206187\", alpha=\"0.18\", expect_size=\"13561856\"] \n  9 -> 10 [size =\"13561856\"]\n  10 [size=\"49943893\", alpha=\"0.02\", expect_size=\"14983168\"] \n  10 -> 11 [size =\"14983168\"]\n  11 [size=\"166502400\", alpha=\"0.13\", expect_size=\"49950720\"] \n  11 -> 12 [size =\"49950720\"]\n  12 [size=\"92504747\", alpha=\"0.07\", expect_size=\"27751424\"] \n  12 -> 13 [size =\"27751424\"]\n  13 [size=\"93098667\", alpha=\"0.20\", expect_size=\"27929600\"] \n  13 -> 14 [size =\"27929600\"]\n  14 [size=\"141458773\", alpha=\"0.12\", expect_size=\"42437632\"] \n  14 -> 15 [size =\"42437632\"]\n  15 [size=\"151729493\", alpha=\"0.12\", expect_size=\"45518848\"] \n  15 -> 16 [size =\"45518848\"]\n  16 [size=\"20439040\", alpha=\"0.13\", expect_size=\"6131712\"] \n  16 -> 17 [size =\"6131712\"]\n  17 [size=\"66959360\", alpha=\"0.09\", expect_size=\"20087808\"] \n  17 -> 18 [size =\"20087808\"]\n  18 [size=\"89333760\", alpha=\"0.03\", expect_size=\"26800128\"] \n  18 -> 19 [size =\"26800128\"]\n  19 [size=\"58125653\", alpha=\"0.03\", expect_size=\"17437696\"] \n  19 -> 20 [size =\"17437696\"]\n  20 [size=\"39420587\", alpha=\"0.10\", expect_size=\"11826176\"] \n  20 -> 21 [size =\"11826176\"]\n  21 [size=\"54985387\", alpha=\"0.00\", expect_size=\"16495616\"] \n  21 -> 22 [size =\"16495616\"]\n  22 [size=\"155050667\", alpha=\"0.03\", expect_size=\"46515200\"] \n  22 -> 23 [size =\"46515200\"]\n  23 [size=\"52995413\", alpha=\"0.07\", expect_size=\"15898624\"] \n  23 -> 24 [size =\"15898624\"]\n  24 [size=\"50274987\", alpha=\"0.03\", expect_size=\"15082496\"] \n  24 -> 25 [size =\"15082496\"]\n  25 [size=\"140977493\", alpha=\"0.14\", expect_size=\"42293248\"] \n  25 -> 26 [size =\"42293248\"]\n  26 [size=\"74540373\", alpha=\"0.12\", expect_size=\"22362112\"] \n  26 -> 27 [size =\"22362112\"]\n  27 [size=\"173520213\", alpha=\"0.01\", expect_size=\"52056064\"] \n  27 -> 28 [size =\"52056064\"]\n  28 [size=\"87589547\", alpha=\"0.04\", expect_size=\"26276864\"] \n  28 -> 29 [size =\"26276864\"]\n  29 [size=\"109165227\", alpha=\"0.11\", expect_size=\"32749568\"] \n  29 -> 30 [size =\"32749568\"]\n  30 [size=\"130652160\", alpha=\"0.02\", expect_size=\"39195648\"] \n  30 -> 31 [size =\"39195648\"]\n  31 [size=\"50496853\", alpha=\"0.12\", expect_size=\"15149056\"] \n  31 -> 32 [size =\"15149056\"]\n  32 [size=\"50923520\", alpha=\"0.11\", expect_size=\"15277056\"] \n  32 -> 33 [size =\"15277056\"]\n  33 [size=\"71546880\", alpha=\"0.00\", expect_size=\"21464064\"] \n  33 -> 34 [size =\"21464064\"]\n  34 [size=\"122695680\", alpha=\"0.05\", expect_size=\"36808704\"] \n  34 -> 35 [size =\"36808704\"]\n  35 [size=\"149230933\", alpha=\"0.07\", expect_size=\"44769280\"] \n  35 -> 36 [size =\"44769280\"]\n  36 [size=\"98983253\", alpha=\"0.09\", expect_size=\"29694976\"] \n  36 -> 37 [size =\"29694976\"]\n  37 [size=\"33863680\", alpha=\"0.18\", expect_size=\"10159104\"] \n  37 -> 38 [size =\"10159104\"]\n  38 [size=\"38338560\", alpha=\"0.15\", expect_size=\"11501568\"] \n  38 -> 39 [size =\"11501568\"]\n  39 [size=\"68816213\", alpha=\"0.18\", expect_size=\"20644864\"] \n  39 -> 40 [size =\"20644864\"]\n  40 [size=\"153026560\", alpha=\"0.04\", expect_size=\"45907968\"] \n  40 -> 41 [size =\"45907968\"]\n  41 [size=\"166150827\", alpha=\"0.14\", expect_size=\"49845248\"] \n  41 -> 42 [size =\"49845248\"]\n  42 [size=\"99932160\", alpha=\"0.02\", expect_size=\"29979648\"] \n  42 -> 43 [size =\"29979648\"]\n  43 [size=\"29405867\", alpha=\"0.15\", expect_size=\"8821760\"] \n  43 -> 44 [size =\"8821760\"]\n  44 [size=\"30190933\", alpha=\"0.11\", expect_size=\"9057280\"] \n  44 -> 45 [size =\"9057280\"]\n  45 [size=\"68986880\", alpha=\"0.04\", expect_size=\"20696064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148391253\", alpha=\"0.18\", expect_size=\"44517376\"] \n  1 -> 26 [size =\"44517376\"]\n  1 -> 27 [size =\"44517376\"]\n  1 -> 28 [size =\"44517376\"]\n  1 -> 29 [size =\"44517376\"]\n  1 -> 32 [size =\"44517376\"]\n  1 -> 34 [size =\"44517376\"]\n  1 -> 39 [size =\"44517376\"]\n  1 -> 40 [size =\"44517376\"]\n  1 -> 42 [size =\"44517376\"]\n  1 -> 43 [size =\"44517376\"]\n  1 -> 44 [size =\"44517376\"]\n  1 -> 45 [size =\"44517376\"]\n  2 [size=\"101512533\", alpha=\"0.17\", expect_size=\"30453760\"] \n  2 -> 26 [size =\"30453760\"]\n  2 -> 27 [size =\"30453760\"]\n  2 -> 28 [size =\"30453760\"]\n  2 -> 31 [size =\"30453760\"]\n  2 -> 32 [size =\"30453760\"]\n  2 -> 33 [size =\"30453760\"]\n  2 -> 34 [size =\"30453760\"]\n  2 -> 36 [size =\"30453760\"]\n  2 -> 42 [size =\"30453760\"]\n  2 -> 43 [size =\"30453760\"]\n  2 -> 44 [size =\"30453760\"]\n  2 -> 45 [size =\"30453760\"]\n  3 [size=\"29286400\", alpha=\"0.12\", expect_size=\"8785920\"] \n  3 -> 26 [size =\"8785920\"]\n  3 -> 33 [size =\"8785920\"]\n  3 -> 34 [size =\"8785920\"]\n  3 -> 35 [size =\"8785920\"]\n  3 -> 43 [size =\"8785920\"]\n  3 -> 44 [size =\"8785920\"]\n  3 -> 45 [size =\"8785920\"]\n  4 [size=\"75816960\", alpha=\"0.16\", expect_size=\"22745088\"] \n  4 -> 29 [size =\"22745088\"]\n  4 -> 32 [size =\"22745088\"]\n  4 -> 33 [size =\"22745088\"]\n  4 -> 34 [size =\"22745088\"]\n  4 -> 35 [size =\"22745088\"]\n  4 -> 43 [size =\"22745088\"]\n  4 -> 45 [size =\"22745088\"]\n  5 [size=\"142923093\", alpha=\"0.03\", expect_size=\"42876928\"] \n  5 -> 28 [size =\"42876928\"]\n  5 -> 30 [size =\"42876928\"]\n  5 -> 31 [size =\"42876928\"]\n  5 -> 32 [size =\"42876928\"]\n  5 -> 33 [size =\"42876928\"]\n  5 -> 34 [size =\"42876928\"]\n  5 -> 35 [size =\"42876928\"]\n  5 -> 36 [size =\"42876928\"]\n  5 -> 39 [size =\"42876928\"]\n  5 -> 42 [size =\"42876928\"]\n  5 -> 43 [size =\"42876928\"]\n  6 [size=\"95836160\", alpha=\"0.16\", expect_size=\"28750848\"] \n  6 -> 26 [size =\"28750848\"]\n  6 -> 28 [size =\"28750848\"]\n  6 -> 33 [size =\"28750848\"]\n  6 -> 35 [size =\"28750848\"]\n  6 -> 39 [size =\"28750848\"]\n  6 -> 42 [size =\"28750848\"]\n  7 [size=\"34529280\", alpha=\"0.14\", expect_size=\"10358784\"] \n  7 -> 26 [size =\"10358784\"]\n  7 -> 27 [size =\"10358784\"]\n  7 -> 28 [size =\"10358784\"]\n  7 -> 29 [size =\"10358784\"]\n  7 -> 31 [size =\"10358784\"]\n  7 -> 32 [size =\"10358784\"]\n  7 -> 36 [size =\"10358784\"]\n  7 -> 40 [size =\"10358784\"]\n  7 -> 42 [size =\"10358784\"]\n  7 -> 45 [size =\"10358784\"]\n  8 [size=\"71365973\", alpha=\"0.15\", expect_size=\"21409792\"] \n  8 -> 27 [size =\"21409792\"]\n  8 -> 28 [size =\"21409792\"]\n  8 -> 29 [size =\"21409792\"]\n  8 -> 30 [size =\"21409792\"]\n  8 -> 32 [size =\"21409792\"]\n  8 -> 32 [size =\"21409792\"]\n  8 -> 34 [size =\"21409792\"]\n  8 -> 35 [size =\"21409792\"]\n  8 -> 44 [size =\"21409792\"]\n  9 [size=\"168127147\", alpha=\"0.06\", expect_size=\"50438144\"] \n  9 -> 27 [size =\"50438144\"]\n  9 -> 28 [size =\"50438144\"]\n  9 -> 29 [size =\"50438144\"]\n  9 -> 30 [size =\"50438144\"]\n  9 -> 33 [size =\"50438144\"]\n  9 -> 34 [size =\"50438144\"]\n  9 -> 35 [size =\"50438144\"]\n  9 -> 35 [size =\"50438144\"]\n  9 -> 36 [size =\"50438144\"]\n  9 -> 39 [size =\"50438144\"]\n  9 -> 40 [size =\"50438144\"]\n  9 -> 44 [size =\"50438144\"]\n  9 -> 45 [size =\"50438144\"]\n  10 [size=\"155194027\", alpha=\"0.11\", expect_size=\"46558208\"] \n  10 -> 27 [size =\"46558208\"]\n  10 -> 28 [size =\"46558208\"]\n  10 -> 30 [size =\"46558208\"]\n  10 -> 30 [size =\"46558208\"]\n  10 -> 32 [size =\"46558208\"]\n  10 -> 33 [size =\"46558208\"]\n  10 -> 39 [size =\"46558208\"]\n  10 -> 43 [size =\"46558208\"]\n  10 -> 44 [size =\"46558208\"]\n  10 -> 45 [size =\"46558208\"]\n  11 [size=\"115575467\", alpha=\"0.18\", expect_size=\"34672640\"] \n  11 -> 27 [size =\"34672640\"]\n  11 -> 28 [size =\"34672640\"]\n  11 -> 30 [size =\"34672640\"]\n  11 -> 32 [size =\"34672640\"]\n  11 -> 33 [size =\"34672640\"]\n  11 -> 34 [size =\"34672640\"]\n  11 -> 37 [size =\"34672640\"]\n  11 -> 38 [size =\"34672640\"]\n  11 -> 43 [size =\"34672640\"]\n  11 -> 44 [size =\"34672640\"]\n  11 -> 45 [size =\"34672640\"]\n  12 [size=\"102178133\", alpha=\"0.19\", expect_size=\"30653440\"] \n  12 -> 27 [size =\"30653440\"]\n  12 -> 28 [size =\"30653440\"]\n  12 -> 29 [size =\"30653440\"]\n  12 -> 30 [size =\"30653440\"]\n  12 -> 32 [size =\"30653440\"]\n  12 -> 33 [size =\"30653440\"]\n  12 -> 34 [size =\"30653440\"]\n  12 -> 38 [size =\"30653440\"]\n  12 -> 42 [size =\"30653440\"]\n  12 -> 43 [size =\"30653440\"]\n  12 -> 44 [size =\"30653440\"]\n  13 [size=\"80599040\", alpha=\"0.01\", expect_size=\"24179712\"] \n  13 -> 26 [size =\"24179712\"]\n  13 -> 27 [size =\"24179712\"]\n  13 -> 29 [size =\"24179712\"]\n  13 -> 31 [size =\"24179712\"]\n  13 -> 32 [size =\"24179712\"]\n  13 -> 33 [size =\"24179712\"]\n  13 -> 35 [size =\"24179712\"]\n  13 -> 38 [size =\"24179712\"]\n  13 -> 39 [size =\"24179712\"]\n  13 -> 40 [size =\"24179712\"]\n  13 -> 43 [size =\"24179712\"]\n  13 -> 45 [size =\"24179712\"]\n  14 [size=\"17933653\", alpha=\"0.20\", expect_size=\"5380096\"] \n  14 -> 26 [size =\"5380096\"]\n  14 -> 27 [size =\"5380096\"]\n  14 -> 28 [size =\"5380096\"]\n  14 -> 29 [size =\"5380096\"]\n  14 -> 30 [size =\"5380096\"]\n  14 -> 32 [size =\"5380096\"]\n  14 -> 39 [size =\"5380096\"]\n  14 -> 40 [size =\"5380096\"]\n  14 -> 42 [size =\"5380096\"]\n  14 -> 45 [size =\"5380096\"]\n  15 [size=\"147152213\", alpha=\"0.05\", expect_size=\"44145664\"] \n  15 -> 26 [size =\"44145664\"]\n  15 -> 27 [size =\"44145664\"]\n  15 -> 29 [size =\"44145664\"]\n  15 -> 29 [size =\"44145664\"]\n  15 -> 30 [size =\"44145664\"]\n  15 -> 32 [size =\"44145664\"]\n  15 -> 34 [size =\"44145664\"]\n  15 -> 35 [size =\"44145664\"]\n  15 -> 42 [size =\"44145664\"]\n  15 -> 43 [size =\"44145664\"]\n  15 -> 45 [size =\"44145664\"]\n  16 [size=\"172315307\", alpha=\"0.16\", expect_size=\"51694592\"] \n  16 -> 26 [size =\"51694592\"]\n  16 -> 27 [size =\"51694592\"]\n  16 -> 28 [size =\"51694592\"]\n  16 -> 29 [size =\"51694592\"]\n  16 -> 30 [size =\"51694592\"]\n  16 -> 32 [size =\"51694592\"]\n  16 -> 33 [size =\"51694592\"]\n  16 -> 34 [size =\"51694592\"]\n  16 -> 35 [size =\"51694592\"]\n  16 -> 36 [size =\"51694592\"]\n  16 -> 37 [size =\"51694592\"]\n  16 -> 41 [size =\"51694592\"]\n  16 -> 45 [size =\"51694592\"]\n  17 [size=\"142083413\", alpha=\"0.07\", expect_size=\"42625024\"] \n  17 -> 26 [size =\"42625024\"]\n  17 -> 28 [size =\"42625024\"]\n  17 -> 29 [size =\"42625024\"]\n  17 -> 29 [size =\"42625024\"]\n  17 -> 30 [size =\"42625024\"]\n  17 -> 31 [size =\"42625024\"]\n  17 -> 32 [size =\"42625024\"]\n  17 -> 33 [size =\"42625024\"]\n  17 -> 44 [size =\"42625024\"]\n  17 -> 45 [size =\"42625024\"]\n  18 [size=\"98215253\", alpha=\"0.06\", expect_size=\"29464576\"] \n  18 -> 26 [size =\"29464576\"]\n  18 -> 27 [size =\"29464576\"]\n  18 -> 28 [size =\"29464576\"]\n  18 -> 29 [size =\"29464576\"]\n  18 -> 30 [size =\"29464576\"]\n  18 -> 31 [size =\"29464576\"]\n  18 -> 32 [size =\"29464576\"]\n  18 -> 33 [size =\"29464576\"]\n  18 -> 34 [size =\"29464576\"]\n  18 -> 38 [size =\"29464576\"]\n  18 -> 39 [size =\"29464576\"]\n  18 -> 40 [size =\"29464576\"]\n  18 -> 42 [size =\"29464576\"]\n  18 -> 45 [size =\"29464576\"]\n  19 [size=\"55821653\", alpha=\"0.12\", expect_size=\"16746496\"] \n  19 -> 26 [size =\"16746496\"]\n  19 -> 27 [size =\"16746496\"]\n  19 -> 28 [size =\"16746496\"]\n  19 -> 29 [size =\"16746496\"]\n  19 -> 30 [size =\"16746496\"]\n  19 -> 33 [size =\"16746496\"]\n  19 -> 34 [size =\"16746496\"]\n  19 -> 36 [size =\"16746496\"]\n  19 -> 39 [size =\"16746496\"]\n  19 -> 42 [size =\"16746496\"]\n  19 -> 43 [size =\"16746496\"]\n  19 -> 45 [size =\"16746496\"]\n  20 [size=\"103301120\", alpha=\"0.09\", expect_size=\"30990336\"] \n  20 -> 26 [size =\"30990336\"]\n  20 -> 27 [size =\"30990336\"]\n  20 -> 28 [size =\"30990336\"]\n  20 -> 29 [size =\"30990336\"]\n  20 -> 30 [size =\"30990336\"]\n  20 -> 32 [size =\"30990336\"]\n  20 -> 33 [size =\"30990336\"]\n  20 -> 34 [size =\"30990336\"]\n  20 -> 35 [size =\"30990336\"]\n  20 -> 36 [size =\"30990336\"]\n  20 -> 39 [size =\"30990336\"]\n  20 -> 42 [size =\"30990336\"]\n  20 -> 45 [size =\"30990336\"]\n  21 [size=\"32911360\", alpha=\"0.01\", expect_size=\"9873408\"] \n  21 -> 26 [size =\"9873408\"]\n  21 -> 27 [size =\"9873408\"]\n  21 -> 30 [size =\"9873408\"]\n  21 -> 32 [size =\"9873408\"]\n  21 -> 35 [size =\"9873408\"]\n  21 -> 42 [size =\"9873408\"]\n  21 -> 45 [size =\"9873408\"]\n  22 [size=\"19193173\", alpha=\"0.05\", expect_size=\"5757952\"] \n  22 -> 26 [size =\"5757952\"]\n  22 -> 30 [size =\"5757952\"]\n  22 -> 30 [size =\"5757952\"]\n  22 -> 33 [size =\"5757952\"]\n  22 -> 34 [size =\"5757952\"]\n  22 -> 35 [size =\"5757952\"]\n  22 -> 36 [size =\"5757952\"]\n  22 -> 42 [size =\"5757952\"]\n  22 -> 45 [size =\"5757952\"]\n  23 [size=\"169038507\", alpha=\"0.10\", expect_size=\"50711552\"] \n  23 -> 26 [size =\"50711552\"]\n  23 -> 28 [size =\"50711552\"]\n  23 -> 30 [size =\"50711552\"]\n  23 -> 32 [size =\"50711552\"]\n  23 -> 33 [size =\"50711552\"]\n  23 -> 35 [size =\"50711552\"]\n  23 -> 40 [size =\"50711552\"]\n  23 -> 42 [size =\"50711552\"]\n  23 -> 45 [size =\"50711552\"]\n  24 [size=\"19367253\", alpha=\"0.02\", expect_size=\"5810176\"] \n  24 -> 26 [size =\"5810176\"]\n  24 -> 27 [size =\"5810176\"]\n  24 -> 28 [size =\"5810176\"]\n  24 -> 29 [size =\"5810176\"]\n  24 -> 30 [size =\"5810176\"]\n  24 -> 33 [size =\"5810176\"]\n  24 -> 34 [size =\"5810176\"]\n  24 -> 35 [size =\"5810176\"]\n  24 -> 37 [size =\"5810176\"]\n  24 -> 42 [size =\"5810176\"]\n  24 -> 45 [size =\"5810176\"]\n  25 [size=\"18892800\", alpha=\"0.11\", expect_size=\"5667840\"] \n  25 -> 26 [size =\"5667840\"]\n  25 -> 27 [size =\"5667840\"]\n  25 -> 29 [size =\"5667840\"]\n  25 -> 30 [size =\"5667840\"]\n  25 -> 32 [size =\"5667840\"]\n  25 -> 34 [size =\"5667840\"]\n  25 -> 36 [size =\"5667840\"]\n  25 -> 42 [size =\"5667840\"]\n  25 -> 45 [size =\"5667840\"]\n  26 [size=\"57419093\", alpha=\"0.09\", expect_size=\"17225728\"] \n  27 [size=\"29197653\", alpha=\"0.09\", expect_size=\"8759296\"] \n  28 [size=\"85770240\", alpha=\"0.17\", expect_size=\"25731072\"] \n  29 [size=\"132724053\", alpha=\"0.03\", expect_size=\"39817216\"] \n  30 [size=\"72536747\", alpha=\"0.07\", expect_size=\"21761024\"] \n  31 [size=\"139465387\", alpha=\"0.04\", expect_size=\"41839616\"] \n  32 [size=\"149845333\", alpha=\"0.11\", expect_size=\"44953600\"] \n  33 [size=\"30436693\", alpha=\"0.06\", expect_size=\"9131008\"] \n  34 [size=\"107618987\", alpha=\"0.02\", expect_size=\"32285696\"] \n  35 [size=\"125170347\", alpha=\"0.14\", expect_size=\"37551104\"] \n  36 [size=\"51247787\", alpha=\"0.05\", expect_size=\"15374336\"] \n  37 [size=\"121501013\", alpha=\"0.12\", expect_size=\"36450304\"] \n  38 [size=\"38410240\", alpha=\"0.10\", expect_size=\"11523072\"] \n  39 [size=\"170441387\", alpha=\"0.13\", expect_size=\"51132416\"] \n  40 [size=\"39103147\", alpha=\"0.06\", expect_size=\"11730944\"] \n  41 [size=\"96689493\", alpha=\"0.01\", expect_size=\"29006848\"] \n  42 [size=\"126726827\", alpha=\"0.17\", expect_size=\"38018048\"] \n  43 [size=\"56637440\", alpha=\"0.12\", expect_size=\"16991232\"] \n  44 [size=\"106830507\", alpha=\"0.07\", expect_size=\"32049152\"] \n  45 [size=\"120480427\", alpha=\"0.02\", expect_size=\"36144128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164321280\", alpha=\"0.06\", expect_size=\"49296384\"] \n  1 -> 31 [size =\"49296384\"]\n  1 -> 33 [size =\"49296384\"]\n  1 -> 35 [size =\"49296384\"]\n  1 -> 40 [size =\"49296384\"]\n  1 -> 41 [size =\"49296384\"]\n  1 -> 44 [size =\"49296384\"]\n  1 -> 44 [size =\"49296384\"]\n  2 [size=\"170250240\", alpha=\"0.09\", expect_size=\"51075072\"] \n  2 -> 31 [size =\"51075072\"]\n  2 -> 34 [size =\"51075072\"]\n  2 -> 35 [size =\"51075072\"]\n  2 -> 44 [size =\"51075072\"]\n  3 [size=\"45909333\", alpha=\"0.12\", expect_size=\"13772800\"] \n  3 -> 31 [size =\"13772800\"]\n  3 -> 33 [size =\"13772800\"]\n  3 -> 34 [size =\"13772800\"]\n  3 -> 35 [size =\"13772800\"]\n  3 -> 37 [size =\"13772800\"]\n  4 [size=\"47151787\", alpha=\"0.18\", expect_size=\"14145536\"] \n  4 -> 32 [size =\"14145536\"]\n  4 -> 33 [size =\"14145536\"]\n  4 -> 34 [size =\"14145536\"]\n  4 -> 35 [size =\"14145536\"]\n  4 -> 37 [size =\"14145536\"]\n  4 -> 41 [size =\"14145536\"]\n  4 -> 42 [size =\"14145536\"]\n  5 [size=\"60555947\", alpha=\"0.00\", expect_size=\"18166784\"] \n  5 -> 35 [size =\"18166784\"]\n  5 -> 42 [size =\"18166784\"]\n  6 [size=\"99095893\", alpha=\"0.13\", expect_size=\"29728768\"] \n  6 -> 30 [size =\"29728768\"]\n  6 -> 31 [size =\"29728768\"]\n  6 -> 32 [size =\"29728768\"]\n  6 -> 40 [size =\"29728768\"]\n  6 -> 42 [size =\"29728768\"]\n  6 -> 44 [size =\"29728768\"]\n  7 [size=\"134546773\", alpha=\"0.12\", expect_size=\"40364032\"] \n  7 -> 30 [size =\"40364032\"]\n  7 -> 31 [size =\"40364032\"]\n  7 -> 32 [size =\"40364032\"]\n  7 -> 35 [size =\"40364032\"]\n  7 -> 42 [size =\"40364032\"]\n  7 -> 43 [size =\"40364032\"]\n  8 [size=\"107902293\", alpha=\"0.04\", expect_size=\"32370688\"] \n  8 -> 31 [size =\"32370688\"]\n  8 -> 35 [size =\"32370688\"]\n  8 -> 42 [size =\"32370688\"]\n  8 -> 43 [size =\"32370688\"]\n  8 -> 44 [size =\"32370688\"]\n  9 [size=\"153702400\", alpha=\"0.20\", expect_size=\"46110720\"] \n  9 -> 31 [size =\"46110720\"]\n  9 -> 40 [size =\"46110720\"]\n  9 -> 42 [size =\"46110720\"]\n  9 -> 45 [size =\"46110720\"]\n  10 [size=\"94634667\", alpha=\"0.09\", expect_size=\"28390400\"] \n  10 -> 31 [size =\"28390400\"]\n  10 -> 32 [size =\"28390400\"]\n  10 -> 34 [size =\"28390400\"]\n  10 -> 42 [size =\"28390400\"]\n  10 -> 44 [size =\"28390400\"]\n  10 -> 45 [size =\"28390400\"]\n  11 [size=\"27405653\", alpha=\"0.09\", expect_size=\"8221696\"] \n  11 -> 33 [size =\"8221696\"]\n  11 -> 35 [size =\"8221696\"]\n  11 -> 42 [size =\"8221696\"]\n  11 -> 43 [size =\"8221696\"]\n  11 -> 44 [size =\"8221696\"]\n  12 [size=\"71591253\", alpha=\"0.04\", expect_size=\"21477376\"] \n  12 -> 30 [size =\"21477376\"]\n  12 -> 31 [size =\"21477376\"]\n  12 -> 34 [size =\"21477376\"]\n  12 -> 41 [size =\"21477376\"]\n  12 -> 42 [size =\"21477376\"]\n  12 -> 43 [size =\"21477376\"]\n  12 -> 45 [size =\"21477376\"]\n  13 [size=\"142455467\", alpha=\"0.09\", expect_size=\"42736640\"] \n  13 -> 34 [size =\"42736640\"]\n  13 -> 42 [size =\"42736640\"]\n  13 -> 45 [size =\"42736640\"]\n  14 [size=\"82329600\", alpha=\"0.14\", expect_size=\"24698880\"] \n  14 -> 33 [size =\"24698880\"]\n  14 -> 42 [size =\"24698880\"]\n  15 [size=\"70024533\", alpha=\"0.17\", expect_size=\"21007360\"] \n  15 -> 38 [size =\"21007360\"]\n  15 -> 40 [size =\"21007360\"]\n  15 -> 41 [size =\"21007360\"]\n  15 -> 42 [size =\"21007360\"]\n  16 [size=\"73031680\", alpha=\"0.06\", expect_size=\"21909504\"] \n  16 -> 33 [size =\"21909504\"]\n  16 -> 35 [size =\"21909504\"]\n  16 -> 40 [size =\"21909504\"]\n  16 -> 41 [size =\"21909504\"]\n  16 -> 42 [size =\"21909504\"]\n  16 -> 43 [size =\"21909504\"]\n  16 -> 44 [size =\"21909504\"]\n  17 [size=\"171557547\", alpha=\"0.09\", expect_size=\"51467264\"] \n  17 -> 31 [size =\"51467264\"]\n  17 -> 34 [size =\"51467264\"]\n  17 -> 35 [size =\"51467264\"]\n  17 -> 38 [size =\"51467264\"]\n  17 -> 42 [size =\"51467264\"]\n  17 -> 43 [size =\"51467264\"]\n  17 -> 44 [size =\"51467264\"]\n  18 [size=\"111861760\", alpha=\"0.17\", expect_size=\"33558528\"] \n  18 -> 33 [size =\"33558528\"]\n  18 -> 42 [size =\"33558528\"]\n  18 -> 44 [size =\"33558528\"]\n  19 [size=\"140369920\", alpha=\"0.00\", expect_size=\"42110976\"] \n  19 -> 31 [size =\"42110976\"]\n  19 -> 34 [size =\"42110976\"]\n  19 -> 41 [size =\"42110976\"]\n  19 -> 42 [size =\"42110976\"]\n  19 -> 44 [size =\"42110976\"]\n  19 -> 45 [size =\"42110976\"]\n  20 [size=\"136758613\", alpha=\"0.01\", expect_size=\"41027584\"] \n  20 -> 32 [size =\"41027584\"]\n  20 -> 34 [size =\"41027584\"]\n  20 -> 42 [size =\"41027584\"]\n  20 -> 44 [size =\"41027584\"]\n  21 [size=\"48950613\", alpha=\"0.20\", expect_size=\"14685184\"] \n  21 -> 32 [size =\"14685184\"]\n  21 -> 33 [size =\"14685184\"]\n  21 -> 34 [size =\"14685184\"]\n  21 -> 41 [size =\"14685184\"]\n  21 -> 42 [size =\"14685184\"]\n  21 -> 43 [size =\"14685184\"]\n  22 [size=\"117981867\", alpha=\"0.18\", expect_size=\"35394560\"] \n  22 -> 32 [size =\"35394560\"]\n  22 -> 34 [size =\"35394560\"]\n  22 -> 38 [size =\"35394560\"]\n  22 -> 39 [size =\"35394560\"]\n  22 -> 42 [size =\"35394560\"]\n  22 -> 45 [size =\"35394560\"]\n  23 [size=\"148910080\", alpha=\"0.01\", expect_size=\"44673024\"] \n  23 -> 31 [size =\"44673024\"]\n  23 -> 34 [size =\"44673024\"]\n  23 -> 41 [size =\"44673024\"]\n  23 -> 42 [size =\"44673024\"]\n  23 -> 42 [size =\"44673024\"]\n  23 -> 44 [size =\"44673024\"]\n  23 -> 45 [size =\"44673024\"]\n  24 [size=\"63412907\", alpha=\"0.06\", expect_size=\"19023872\"] \n  24 -> 31 [size =\"19023872\"]\n  24 -> 39 [size =\"19023872\"]\n  24 -> 40 [size =\"19023872\"]\n  24 -> 41 [size =\"19023872\"]\n  24 -> 42 [size =\"19023872\"]\n  24 -> 44 [size =\"19023872\"]\n  24 -> 45 [size =\"19023872\"]\n  25 [size=\"173690880\", alpha=\"0.18\", expect_size=\"52107264\"] \n  25 -> 44 [size =\"52107264\"]\n  25 -> 45 [size =\"52107264\"]\n  26 [size=\"151719253\", alpha=\"0.20\", expect_size=\"45515776\"] \n  26 -> 31 [size =\"45515776\"]\n  26 -> 36 [size =\"45515776\"]\n  26 -> 38 [size =\"45515776\"]\n  26 -> 40 [size =\"45515776\"]\n  26 -> 41 [size =\"45515776\"]\n  26 -> 43 [size =\"45515776\"]\n  26 -> 44 [size =\"45515776\"]\n  26 -> 45 [size =\"45515776\"]\n  27 [size=\"43615573\", alpha=\"0.16\", expect_size=\"13084672\"] \n  27 -> 31 [size =\"13084672\"]\n  27 -> 32 [size =\"13084672\"]\n  27 -> 34 [size =\"13084672\"]\n  27 -> 36 [size =\"13084672\"]\n  27 -> 38 [size =\"13084672\"]\n  27 -> 39 [size =\"13084672\"]\n  27 -> 40 [size =\"13084672\"]\n  27 -> 41 [size =\"13084672\"]\n  27 -> 42 [size =\"13084672\"]\n  27 -> 43 [size =\"13084672\"]\n  27 -> 44 [size =\"13084672\"]\n  27 -> 45 [size =\"13084672\"]\n  28 [size=\"114152107\", alpha=\"0.04\", expect_size=\"34245632\"] \n  28 -> 31 [size =\"34245632\"]\n  28 -> 32 [size =\"34245632\"]\n  28 -> 34 [size =\"34245632\"]\n  28 -> 35 [size =\"34245632\"]\n  28 -> 38 [size =\"34245632\"]\n  28 -> 41 [size =\"34245632\"]\n  28 -> 42 [size =\"34245632\"]\n  28 -> 44 [size =\"34245632\"]\n  29 [size=\"87770453\", alpha=\"0.10\", expect_size=\"26331136\"] \n  29 -> 31 [size =\"26331136\"]\n  29 -> 33 [size =\"26331136\"]\n  29 -> 34 [size =\"26331136\"]\n  29 -> 38 [size =\"26331136\"]\n  29 -> 40 [size =\"26331136\"]\n  29 -> 42 [size =\"26331136\"]\n  29 -> 44 [size =\"26331136\"]\n  29 -> 44 [size =\"26331136\"]\n  29 -> 45 [size =\"26331136\"]\n  30 [size=\"91699200\", alpha=\"0.05\", expect_size=\"27509760\"] \n  31 [size=\"98720427\", alpha=\"0.02\", expect_size=\"29616128\"] \n  32 [size=\"98399573\", alpha=\"0.05\", expect_size=\"29519872\"] \n  33 [size=\"86220800\", alpha=\"0.04\", expect_size=\"25866240\"] \n  34 [size=\"90624000\", alpha=\"0.12\", expect_size=\"27187200\"] \n  35 [size=\"141277867\", alpha=\"0.06\", expect_size=\"42383360\"] \n  36 [size=\"123985920\", alpha=\"0.07\", expect_size=\"37195776\"] \n  37 [size=\"120367787\", alpha=\"0.08\", expect_size=\"36110336\"] \n  38 [size=\"90210987\", alpha=\"0.01\", expect_size=\"27063296\"] \n  39 [size=\"123934720\", alpha=\"0.10\", expect_size=\"37180416\"] \n  40 [size=\"43202560\", alpha=\"0.13\", expect_size=\"12960768\"] \n  41 [size=\"82459307\", alpha=\"0.01\", expect_size=\"24737792\"] \n  42 [size=\"94344533\", alpha=\"0.01\", expect_size=\"28303360\"] \n  43 [size=\"132980053\", alpha=\"0.19\", expect_size=\"39894016\"] \n  44 [size=\"166055253\", alpha=\"0.02\", expect_size=\"49816576\"] \n  45 [size=\"101140480\", alpha=\"0.04\", expect_size=\"30342144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98795520\", alpha=\"0.00\", expect_size=\"49397760\"] \n  1 -> 8 [size =\"49397760\"]\n  1 -> 9 [size =\"49397760\"]\n  1 -> 11 [size =\"49397760\"]\n  2 [size=\"62885888\", alpha=\"0.15\", expect_size=\"31442944\"] \n  2 -> 7 [size =\"31442944\"]\n  2 -> 8 [size =\"31442944\"]\n  2 -> 9 [size =\"31442944\"]\n  3 [size=\"18788352\", alpha=\"0.01\", expect_size=\"9394176\"] \n  3 -> 8 [size =\"9394176\"]\n  3 -> 10 [size =\"9394176\"]\n  4 [size=\"90718208\", alpha=\"0.08\", expect_size=\"45359104\"] \n  4 -> 8 [size =\"45359104\"]\n  4 -> 11 [size =\"45359104\"]\n  5 [size=\"34807808\", alpha=\"0.07\", expect_size=\"17403904\"] \n  5 -> 7 [size =\"17403904\"]\n  5 -> 8 [size =\"17403904\"]\n  5 -> 10 [size =\"17403904\"]\n  5 -> 11 [size =\"17403904\"]\n  6 [size=\"44355584\", alpha=\"0.16\", expect_size=\"22177792\"] \n  6 -> 7 [size =\"22177792\"]\n  6 -> 8 [size =\"22177792\"]\n  6 -> 10 [size =\"22177792\"]\n  6 -> 11 [size =\"22177792\"]\n  7 [size=\"67328000\", alpha=\"0.13\", expect_size=\"33664000\"] \n  7 -> 13 [size =\"33664000\"]\n  7 -> 15 [size =\"33664000\"]\n  7 -> 16 [size =\"33664000\"]\n  8 [size=\"83474432\", alpha=\"0.01\", expect_size=\"41737216\"] \n  8 -> 13 [size =\"41737216\"]\n  8 -> 14 [size =\"41737216\"]\n  8 -> 15 [size =\"41737216\"]\n  9 [size=\"87468032\", alpha=\"0.14\", expect_size=\"43734016\"] \n  9 -> 12 [size =\"43734016\"]\n  9 -> 13 [size =\"43734016\"]\n  10 [size=\"32432128\", alpha=\"0.04\", expect_size=\"16216064\"] \n  10 -> 14 [size =\"16216064\"]\n  11 [size=\"13193216\", alpha=\"0.07\", expect_size=\"6596608\"] \n  11 -> 13 [size =\"6596608\"]\n  11 -> 15 [size =\"6596608\"]\n  12 [size=\"14833664\", alpha=\"0.18\", expect_size=\"7416832\"] \n  12 -> 17 [size =\"7416832\"]\n  12 -> 18 [size =\"7416832\"]\n  12 -> 20 [size =\"7416832\"]\n  12 -> 21 [size =\"7416832\"]\n  13 [size=\"86810624\", alpha=\"0.16\", expect_size=\"43405312\"] \n  13 -> 17 [size =\"43405312\"]\n  13 -> 18 [size =\"43405312\"]\n  13 -> 21 [size =\"43405312\"]\n  14 [size=\"91883520\", alpha=\"0.15\", expect_size=\"45941760\"] \n  14 -> 17 [size =\"45941760\"]\n  14 -> 18 [size =\"45941760\"]\n  14 -> 19 [size =\"45941760\"]\n  14 -> 20 [size =\"45941760\"]\n  14 -> 21 [size =\"45941760\"]\n  15 [size=\"34904064\", alpha=\"0.06\", expect_size=\"17452032\"] \n  15 -> 18 [size =\"17452032\"]\n  15 -> 19 [size =\"17452032\"]\n  15 -> 20 [size =\"17452032\"]\n  15 -> 21 [size =\"17452032\"]\n  16 [size=\"65605632\", alpha=\"0.09\", expect_size=\"32802816\"] \n  16 -> 18 [size =\"32802816\"]\n  16 -> 21 [size =\"32802816\"]\n  17 [size=\"46264320\", alpha=\"0.02\", expect_size=\"23132160\"] \n  17 -> 24 [size =\"23132160\"]\n  17 -> 25 [size =\"23132160\"]\n  18 [size=\"11264000\", alpha=\"0.09\", expect_size=\"5632000\"] \n  18 -> 23 [size =\"5632000\"]\n  18 -> 24 [size =\"5632000\"]\n  18 -> 26 [size =\"5632000\"]\n  18 -> 27 [size =\"5632000\"]\n  19 [size=\"14065664\", alpha=\"0.19\", expect_size=\"7032832\"] \n  19 -> 22 [size =\"7032832\"]\n  19 -> 23 [size =\"7032832\"]\n  19 -> 24 [size =\"7032832\"]\n  20 [size=\"78325760\", alpha=\"0.19\", expect_size=\"39162880\"] \n  20 -> 23 [size =\"39162880\"]\n  20 -> 25 [size =\"39162880\"]\n  20 -> 26 [size =\"39162880\"]\n  21 [size=\"99504128\", alpha=\"0.18\", expect_size=\"49752064\"] \n  21 -> 24 [size =\"49752064\"]\n  21 -> 27 [size =\"49752064\"]\n  22 [size=\"39553024\", alpha=\"0.07\", expect_size=\"19776512\"] \n  22 -> 29 [size =\"19776512\"]\n  22 -> 30 [size =\"19776512\"]\n  22 -> 31 [size =\"19776512\"]\n  22 -> 32 [size =\"19776512\"]\n  23 [size=\"29612032\", alpha=\"0.19\", expect_size=\"14806016\"] \n  23 -> 30 [size =\"14806016\"]\n  23 -> 32 [size =\"14806016\"]\n  24 [size=\"103497728\", alpha=\"0.07\", expect_size=\"51748864\"] \n  24 -> 28 [size =\"51748864\"]\n  24 -> 30 [size =\"51748864\"]\n  24 -> 31 [size =\"51748864\"]\n  24 -> 32 [size =\"51748864\"]\n  25 [size=\"79009792\", alpha=\"0.01\", expect_size=\"39504896\"] \n  25 -> 28 [size =\"39504896\"]\n  25 -> 30 [size =\"39504896\"]\n  26 [size=\"10700800\", alpha=\"0.01\", expect_size=\"5350400\"] \n  27 [size=\"51097600\", alpha=\"0.14\", expect_size=\"25548800\"] \n  27 -> 30 [size =\"25548800\"]\n  27 -> 32 [size =\"25548800\"]\n  28 [size=\"61030400\", alpha=\"0.02\", expect_size=\"30515200\"] \n  28 -> 33 [size =\"30515200\"]\n  28 -> 34 [size =\"30515200\"]\n  28 -> 35 [size =\"30515200\"]\n  29 [size=\"10788864\", alpha=\"0.07\", expect_size=\"5394432\"] \n  29 -> 33 [size =\"5394432\"]\n  29 -> 34 [size =\"5394432\"]\n  29 -> 35 [size =\"5394432\"]\n  29 -> 36 [size =\"5394432\"]\n  30 [size=\"102508544\", alpha=\"0.16\", expect_size=\"51254272\"] \n  30 -> 33 [size =\"51254272\"]\n  30 -> 34 [size =\"51254272\"]\n  30 -> 37 [size =\"51254272\"]\n  31 [size=\"98871296\", alpha=\"0.06\", expect_size=\"49435648\"] \n  31 -> 33 [size =\"49435648\"]\n  31 -> 34 [size =\"49435648\"]\n  31 -> 36 [size =\"49435648\"]\n  32 [size=\"88184832\", alpha=\"0.16\", expect_size=\"44092416\"] \n  32 -> 33 [size =\"44092416\"]\n  32 -> 34 [size =\"44092416\"]\n  32 -> 35 [size =\"44092416\"]\n  32 -> 36 [size =\"44092416\"]\n  33 [size=\"28481536\", alpha=\"0.03\", expect_size=\"14240768\"] \n  33 -> 38 [size =\"14240768\"]\n  33 -> 42 [size =\"14240768\"]\n  34 [size=\"22431744\", alpha=\"0.07\", expect_size=\"11215872\"] \n  34 -> 38 [size =\"11215872\"]\n  34 -> 41 [size =\"11215872\"]\n  34 -> 42 [size =\"11215872\"]\n  35 [size=\"55900160\", alpha=\"0.17\", expect_size=\"27950080\"] \n  35 -> 38 [size =\"27950080\"]\n  35 -> 39 [size =\"27950080\"]\n  35 -> 42 [size =\"27950080\"]\n  35 -> 43 [size =\"27950080\"]\n  36 [size=\"58836992\", alpha=\"0.18\", expect_size=\"29418496\"] \n  36 -> 38 [size =\"29418496\"]\n  36 -> 42 [size =\"29418496\"]\n  37 [size=\"65110016\", alpha=\"0.06\", expect_size=\"32555008\"] \n  37 -> 38 [size =\"32555008\"]\n  37 -> 39 [size =\"32555008\"]\n  37 -> 40 [size =\"32555008\"]\n  37 -> 42 [size =\"32555008\"]\n  37 -> 43 [size =\"32555008\"]\n  38 [size=\"37193728\", alpha=\"0.15\", expect_size=\"18596864\"] \n  38 -> 44 [size =\"18596864\"]\n  38 -> 45 [size =\"18596864\"]\n  39 [size=\"48076800\", alpha=\"0.04\", expect_size=\"24038400\"] \n  39 -> 44 [size =\"24038400\"]\n  40 [size=\"80369664\", alpha=\"0.08\", expect_size=\"40184832\"] \n  40 -> 45 [size =\"40184832\"]\n  41 [size=\"61650944\", alpha=\"0.11\", expect_size=\"30825472\"] \n  41 -> 44 [size =\"30825472\"]\n  41 -> 45 [size =\"30825472\"]\n  42 [size=\"88999936\", alpha=\"0.20\", expect_size=\"44499968\"] \n  42 -> 44 [size =\"44499968\"]\n  42 -> 45 [size =\"44499968\"]\n  43 [size=\"72392704\", alpha=\"0.13\", expect_size=\"36196352\"] \n  43 -> 44 [size =\"36196352\"]\n  43 -> 45 [size =\"36196352\"]\n  44 [size=\"88154112\", alpha=\"0.05\", expect_size=\"44077056\"] \n  45 [size=\"28942336\", alpha=\"0.13\", expect_size=\"14471168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46778880\", alpha=\"0.17\", expect_size=\"18711552\"] \n  1 -> 4 [size =\"18711552\"]\n  2 [size=\"124702720\", alpha=\"0.06\", expect_size=\"49881088\"] \n  2 -> 4 [size =\"49881088\"]\n  2 -> 5 [size =\"49881088\"]\n  2 -> 6 [size =\"49881088\"]\n  3 [size=\"26777600\", alpha=\"0.20\", expect_size=\"10711040\"] \n  3 -> 6 [size =\"10711040\"]\n  4 [size=\"56542720\", alpha=\"0.00\", expect_size=\"22617088\"] \n  4 -> 7 [size =\"22617088\"]\n  4 -> 8 [size =\"22617088\"]\n  5 [size=\"45030400\", alpha=\"0.13\", expect_size=\"18012160\"] \n  5 -> 8 [size =\"18012160\"]\n  5 -> 9 [size =\"18012160\"]\n  6 [size=\"78356480\", alpha=\"0.00\", expect_size=\"31342592\"] \n  6 -> 9 [size =\"31342592\"]\n  7 [size=\"102837760\", alpha=\"0.08\", expect_size=\"41135104\"] \n  8 [size=\"115240960\", alpha=\"0.15\", expect_size=\"46096384\"] \n  8 -> 10 [size =\"46096384\"]\n  9 [size=\"98449920\", alpha=\"0.10\", expect_size=\"39379968\"] \n  9 -> 11 [size =\"39379968\"]\n  10 [size=\"99238400\", alpha=\"0.02\", expect_size=\"39695360\"] \n  10 -> 12 [size =\"39695360\"]\n  10 -> 13 [size =\"39695360\"]\n  11 [size=\"68062720\", alpha=\"0.12\", expect_size=\"27225088\"] \n  11 -> 12 [size =\"27225088\"]\n  11 -> 13 [size =\"27225088\"]\n  12 [size=\"52121600\", alpha=\"0.14\", expect_size=\"20848640\"] \n  12 -> 14 [size =\"20848640\"]\n  12 -> 15 [size =\"20848640\"]\n  13 [size=\"89428480\", alpha=\"0.08\", expect_size=\"35771392\"] \n  13 -> 14 [size =\"35771392\"]\n  13 -> 15 [size =\"35771392\"]\n  14 [size=\"88353280\", alpha=\"0.03\", expect_size=\"35341312\"] \n  14 -> 16 [size =\"35341312\"]\n  14 -> 17 [size =\"35341312\"]\n  15 [size=\"88627200\", alpha=\"0.13\", expect_size=\"35450880\"] \n  15 -> 16 [size =\"35450880\"]\n  15 -> 17 [size =\"35450880\"]\n  16 [size=\"47237120\", alpha=\"0.03\", expect_size=\"18894848\"] \n  16 -> 18 [size =\"18894848\"]\n  16 -> 19 [size =\"18894848\"]\n  17 [size=\"48035840\", alpha=\"0.16\", expect_size=\"19214336\"] \n  18 [size=\"96768000\", alpha=\"0.02\", expect_size=\"38707200\"] \n  19 [size=\"67701760\", alpha=\"0.11\", expect_size=\"27080704\"] \n  19 -> 20 [size =\"27080704\"]\n  19 -> 21 [size =\"27080704\"]\n  20 [size=\"126568960\", alpha=\"0.15\", expect_size=\"50627584\"] \n  20 -> 22 [size =\"50627584\"]\n  20 -> 23 [size =\"50627584\"]\n  21 [size=\"18176000\", alpha=\"0.05\", expect_size=\"7270400\"] \n  21 -> 22 [size =\"7270400\"]\n  22 [size=\"91594240\", alpha=\"0.13\", expect_size=\"36637696\"] \n  22 -> 25 [size =\"36637696\"]\n  23 [size=\"55124480\", alpha=\"0.04\", expect_size=\"22049792\"] \n  23 -> 24 [size =\"22049792\"]\n  23 -> 25 [size =\"22049792\"]\n  23 -> 26 [size =\"22049792\"]\n  24 [size=\"103155200\", alpha=\"0.02\", expect_size=\"41262080\"] \n  25 [size=\"122831360\", alpha=\"0.06\", expect_size=\"49132544\"] \n  25 -> 27 [size =\"49132544\"]\n  25 -> 28 [size =\"49132544\"]\n  26 [size=\"82071040\", alpha=\"0.01\", expect_size=\"32828416\"] \n  27 [size=\"101319680\", alpha=\"0.11\", expect_size=\"40527872\"] \n  27 -> 29 [size =\"40527872\"]\n  27 -> 30 [size =\"40527872\"]\n  27 -> 31 [size =\"40527872\"]\n  28 [size=\"78612480\", alpha=\"0.18\", expect_size=\"31444992\"] \n  29 [size=\"92011520\", alpha=\"0.20\", expect_size=\"36804608\"] \n  29 -> 33 [size =\"36804608\"]\n  30 [size=\"39662080\", alpha=\"0.16\", expect_size=\"15864832\"] \n  31 [size=\"128588800\", alpha=\"0.02\", expect_size=\"51435520\"] \n  31 -> 32 [size =\"51435520\"]\n  31 -> 33 [size =\"51435520\"]\n  32 [size=\"38571520\", alpha=\"0.14\", expect_size=\"15428608\"] \n  32 -> 35 [size =\"15428608\"]\n  32 -> 36 [size =\"15428608\"]\n  33 [size=\"117137920\", alpha=\"0.19\", expect_size=\"46855168\"] \n  33 -> 34 [size =\"46855168\"]\n  33 -> 35 [size =\"46855168\"]\n  34 [size=\"24066560\", alpha=\"0.17\", expect_size=\"9626624\"] \n  34 -> 37 [size =\"9626624\"]\n  35 [size=\"38722560\", alpha=\"0.08\", expect_size=\"15489024\"] \n  35 -> 38 [size =\"15489024\"]\n  36 [size=\"75064320\", alpha=\"0.05\", expect_size=\"30025728\"] \n  36 -> 37 [size =\"30025728\"]\n  37 [size=\"80381440\", alpha=\"0.07\", expect_size=\"32152576\"] \n  37 -> 40 [size =\"32152576\"]\n  37 -> 41 [size =\"32152576\"]\n  38 [size=\"26439680\", alpha=\"0.04\", expect_size=\"10575872\"] \n  38 -> 39 [size =\"10575872\"]\n  38 -> 41 [size =\"10575872\"]\n  39 [size=\"15372800\", alpha=\"0.10\", expect_size=\"6149120\"] \n  39 -> 42 [size =\"6149120\"]\n  39 -> 44 [size =\"6149120\"]\n  40 [size=\"14563840\", alpha=\"0.15\", expect_size=\"5825536\"] \n  40 -> 42 [size =\"5825536\"]\n  40 -> 43 [size =\"5825536\"]\n  40 -> 44 [size =\"5825536\"]\n  41 [size=\"110144000\", alpha=\"0.01\", expect_size=\"44057600\"] \n  42 [size=\"121139200\", alpha=\"0.00\", expect_size=\"48455680\"] \n  42 -> 45 [size =\"48455680\"]\n  43 [size=\"86566400\", alpha=\"0.07\", expect_size=\"34626560\"] \n  43 -> 45 [size =\"34626560\"]\n  44 [size=\"82746880\", alpha=\"0.08\", expect_size=\"33098752\"] \n  44 -> 45 [size =\"33098752\"]\n  45 [size=\"66967040\", alpha=\"0.09\", expect_size=\"26786816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12500992\", alpha=\"0.04\", expect_size=\"6250496\"] \n  1 -> 7 [size =\"6250496\"]\n  1 -> 8 [size =\"6250496\"]\n  1 -> 10 [size =\"6250496\"]\n  2 [size=\"26458112\", alpha=\"0.15\", expect_size=\"13229056\"] \n  2 -> 7 [size =\"13229056\"]\n  2 -> 8 [size =\"13229056\"]\n  3 [size=\"79814656\", alpha=\"0.02\", expect_size=\"39907328\"] \n  3 -> 7 [size =\"39907328\"]\n  3 -> 10 [size =\"39907328\"]\n  4 [size=\"68802560\", alpha=\"0.12\", expect_size=\"34401280\"] \n  4 -> 5 [size =\"34401280\"]\n  4 -> 6 [size =\"34401280\"]\n  4 -> 8 [size =\"34401280\"]\n  4 -> 9 [size =\"34401280\"]\n  5 [size=\"28858368\", alpha=\"0.07\", expect_size=\"14429184\"] \n  5 -> 12 [size =\"14429184\"]\n  5 -> 15 [size =\"14429184\"]\n  6 [size=\"87986176\", alpha=\"0.02\", expect_size=\"43993088\"] \n  6 -> 12 [size =\"43993088\"]\n  6 -> 13 [size =\"43993088\"]\n  7 [size=\"71675904\", alpha=\"0.11\", expect_size=\"35837952\"] \n  7 -> 15 [size =\"35837952\"]\n  8 [size=\"48445440\", alpha=\"0.14\", expect_size=\"24222720\"] \n  8 -> 14 [size =\"24222720\"]\n  8 -> 16 [size =\"24222720\"]\n  9 [size=\"101007360\", alpha=\"0.02\", expect_size=\"50503680\"] \n  9 -> 14 [size =\"50503680\"]\n  9 -> 16 [size =\"50503680\"]\n  10 [size=\"90843136\", alpha=\"0.01\", expect_size=\"45421568\"] \n  10 -> 11 [size =\"45421568\"]\n  10 -> 12 [size =\"45421568\"]\n  10 -> 14 [size =\"45421568\"]\n  10 -> 15 [size =\"45421568\"]\n  11 [size=\"65300480\", alpha=\"0.16\", expect_size=\"32650240\"] \n  11 -> 18 [size =\"32650240\"]\n  12 [size=\"82761728\", alpha=\"0.10\", expect_size=\"41380864\"] \n  12 -> 17 [size =\"41380864\"]\n  12 -> 20 [size =\"41380864\"]\n  13 [size=\"58695680\", alpha=\"0.08\", expect_size=\"29347840\"] \n  13 -> 17 [size =\"29347840\"]\n  13 -> 20 [size =\"29347840\"]\n  13 -> 21 [size =\"29347840\"]\n  14 [size=\"70393856\", alpha=\"0.11\", expect_size=\"35196928\"] \n  14 -> 19 [size =\"35196928\"]\n  14 -> 20 [size =\"35196928\"]\n  15 [size=\"34131968\", alpha=\"0.00\", expect_size=\"17065984\"] \n  16 [size=\"68042752\", alpha=\"0.16\", expect_size=\"34021376\"] \n  17 [size=\"75911168\", alpha=\"0.04\", expect_size=\"37955584\"] \n  17 -> 22 [size =\"37955584\"]\n  17 -> 23 [size =\"37955584\"]\n  18 [size=\"34723840\", alpha=\"0.19\", expect_size=\"17361920\"] \n  18 -> 23 [size =\"17361920\"]\n  18 -> 24 [size =\"17361920\"]\n  18 -> 25 [size =\"17361920\"]\n  18 -> 27 [size =\"17361920\"]\n  18 -> 28 [size =\"17361920\"]\n  19 [size=\"99305472\", alpha=\"0.09\", expect_size=\"49652736\"] \n  19 -> 25 [size =\"49652736\"]\n  19 -> 28 [size =\"49652736\"]\n  20 [size=\"15218688\", alpha=\"0.15\", expect_size=\"7609344\"] \n  20 -> 22 [size =\"7609344\"]\n  20 -> 23 [size =\"7609344\"]\n  20 -> 26 [size =\"7609344\"]\n  21 [size=\"19073024\", alpha=\"0.01\", expect_size=\"9536512\"] \n  21 -> 22 [size =\"9536512\"]\n  21 -> 26 [size =\"9536512\"]\n  21 -> 28 [size =\"9536512\"]\n  22 [size=\"96280576\", alpha=\"0.11\", expect_size=\"48140288\"] \n  22 -> 30 [size =\"48140288\"]\n  22 -> 35 [size =\"48140288\"]\n  23 [size=\"47372288\", alpha=\"0.16\", expect_size=\"23686144\"] \n  23 -> 29 [size =\"23686144\"]\n  23 -> 32 [size =\"23686144\"]\n  23 -> 34 [size =\"23686144\"]\n  23 -> 35 [size =\"23686144\"]\n  24 [size=\"86239232\", alpha=\"0.13\", expect_size=\"43119616\"] \n  24 -> 31 [size =\"43119616\"]\n  24 -> 33 [size =\"43119616\"]\n  24 -> 34 [size =\"43119616\"]\n  25 [size=\"42752000\", alpha=\"0.14\", expect_size=\"21376000\"] \n  25 -> 33 [size =\"21376000\"]\n  26 [size=\"44535808\", alpha=\"0.11\", expect_size=\"22267904\"] \n  26 -> 30 [size =\"22267904\"]\n  26 -> 31 [size =\"22267904\"]\n  26 -> 33 [size =\"22267904\"]\n  26 -> 35 [size =\"22267904\"]\n  27 [size=\"25878528\", alpha=\"0.01\", expect_size=\"12939264\"] \n  27 -> 31 [size =\"12939264\"]\n  27 -> 34 [size =\"12939264\"]\n  27 -> 35 [size =\"12939264\"]\n  28 [size=\"44185600\", alpha=\"0.19\", expect_size=\"22092800\"] \n  28 -> 33 [size =\"22092800\"]\n  28 -> 34 [size =\"22092800\"]\n  29 [size=\"38557696\", alpha=\"0.17\", expect_size=\"19278848\"] \n  29 -> 39 [size =\"19278848\"]\n  29 -> 40 [size =\"19278848\"]\n  29 -> 41 [size =\"19278848\"]\n  30 [size=\"80232448\", alpha=\"0.11\", expect_size=\"40116224\"] \n  30 -> 40 [size =\"40116224\"]\n  31 [size=\"56209408\", alpha=\"0.17\", expect_size=\"28104704\"] \n  31 -> 36 [size =\"28104704\"]\n  32 [size=\"62873600\", alpha=\"0.19\", expect_size=\"31436800\"] \n  32 -> 38 [size =\"31436800\"]\n  32 -> 40 [size =\"31436800\"]\n  33 [size=\"21829632\", alpha=\"0.11\", expect_size=\"10914816\"] \n  33 -> 36 [size =\"10914816\"]\n  33 -> 37 [size =\"10914816\"]\n  33 -> 42 [size =\"10914816\"]\n  34 [size=\"96776192\", alpha=\"0.15\", expect_size=\"48388096\"] \n  34 -> 37 [size =\"48388096\"]\n  34 -> 38 [size =\"48388096\"]\n  34 -> 41 [size =\"48388096\"]\n  35 [size=\"62916608\", alpha=\"0.04\", expect_size=\"31458304\"] \n  35 -> 39 [size =\"31458304\"]\n  35 -> 40 [size =\"31458304\"]\n  35 -> 41 [size =\"31458304\"]\n  36 [size=\"32997376\", alpha=\"0.06\", expect_size=\"16498688\"] \n  37 [size=\"84518912\", alpha=\"0.01\", expect_size=\"42259456\"] \n  37 -> 44 [size =\"42259456\"]\n  38 [size=\"89931776\", alpha=\"0.02\", expect_size=\"44965888\"] \n  38 -> 43 [size =\"44965888\"]\n  39 [size=\"87193600\", alpha=\"0.01\", expect_size=\"43596800\"] \n  39 -> 43 [size =\"43596800\"]\n  39 -> 45 [size =\"43596800\"]\n  40 [size=\"72456192\", alpha=\"0.01\", expect_size=\"36228096\"] \n  40 -> 43 [size =\"36228096\"]\n  40 -> 45 [size =\"36228096\"]\n  41 [size=\"31707136\", alpha=\"0.04\", expect_size=\"15853568\"] \n  41 -> 43 [size =\"15853568\"]\n  41 -> 45 [size =\"15853568\"]\n  42 [size=\"19759104\", alpha=\"0.04\", expect_size=\"9879552\"] \n  42 -> 45 [size =\"9879552\"]\n  43 [size=\"14518272\", alpha=\"0.12\", expect_size=\"7259136\"] \n  44 [size=\"64196608\", alpha=\"0.16\", expect_size=\"32098304\"] \n  45 [size=\"39958528\", alpha=\"0.08\", expect_size=\"19979264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114352640\", alpha=\"0.15\", expect_size=\"45741056\"] \n  1 -> 36 [size =\"45741056\"]\n  2 [size=\"41638400\", alpha=\"0.16\", expect_size=\"16655360\"] \n  2 -> 34 [size =\"16655360\"]\n  2 -> 35 [size =\"16655360\"]\n  2 -> 36 [size =\"16655360\"]\n  2 -> 37 [size =\"16655360\"]\n  2 -> 38 [size =\"16655360\"]\n  2 -> 41 [size =\"16655360\"]\n  3 [size=\"28354560\", alpha=\"0.04\", expect_size=\"11341824\"] \n  3 -> 43 [size =\"11341824\"]\n  4 [size=\"70801920\", alpha=\"0.17\", expect_size=\"28320768\"] \n  4 -> 34 [size =\"28320768\"]\n  5 [size=\"38210560\", alpha=\"0.20\", expect_size=\"15284224\"] \n  5 -> 34 [size =\"15284224\"]\n  5 -> 37 [size =\"15284224\"]\n  5 -> 38 [size =\"15284224\"]\n  5 -> 45 [size =\"15284224\"]\n  6 [size=\"29632000\", alpha=\"0.09\", expect_size=\"11852800\"] \n  6 -> 36 [size =\"11852800\"]\n  6 -> 37 [size =\"11852800\"]\n  6 -> 42 [size =\"11852800\"]\n  7 [size=\"111178240\", alpha=\"0.05\", expect_size=\"44471296\"] \n  7 -> 33 [size =\"44471296\"]\n  7 -> 37 [size =\"44471296\"]\n  7 -> 38 [size =\"44471296\"]\n  7 -> 44 [size =\"44471296\"]\n  8 [size=\"78384640\", alpha=\"0.01\", expect_size=\"31353856\"] \n  8 -> 33 [size =\"31353856\"]\n  8 -> 37 [size =\"31353856\"]\n  8 -> 38 [size =\"31353856\"]\n  8 -> 39 [size =\"31353856\"]\n  8 -> 42 [size =\"31353856\"]\n  9 [size=\"19637760\", alpha=\"0.05\", expect_size=\"7855104\"] \n  9 -> 36 [size =\"7855104\"]\n  9 -> 37 [size =\"7855104\"]\n  9 -> 41 [size =\"7855104\"]\n  10 [size=\"73786880\", alpha=\"0.01\", expect_size=\"29514752\"] \n  10 -> 37 [size =\"29514752\"]\n  10 -> 45 [size =\"29514752\"]\n  11 [size=\"118561280\", alpha=\"0.03\", expect_size=\"47424512\"] \n  11 -> 45 [size =\"47424512\"]\n  12 [size=\"89794560\", alpha=\"0.06\", expect_size=\"35917824\"] \n  12 -> 33 [size =\"35917824\"]\n  13 [size=\"67909120\", alpha=\"0.15\", expect_size=\"27163648\"] \n  13 -> 38 [size =\"27163648\"]\n  13 -> 40 [size =\"27163648\"]\n  13 -> 41 [size =\"27163648\"]\n  13 -> 42 [size =\"27163648\"]\n  13 -> 43 [size =\"27163648\"]\n  14 [size=\"91284480\", alpha=\"0.14\", expect_size=\"36513792\"] \n  14 -> 34 [size =\"36513792\"]\n  14 -> 36 [size =\"36513792\"]\n  14 -> 38 [size =\"36513792\"]\n  15 [size=\"72629760\", alpha=\"0.11\", expect_size=\"29051904\"] \n  15 -> 38 [size =\"29051904\"]\n  15 -> 43 [size =\"29051904\"]\n  16 [size=\"70208000\", alpha=\"0.11\", expect_size=\"28083200\"] \n  16 -> 34 [size =\"28083200\"]\n  16 -> 36 [size =\"28083200\"]\n  16 -> 37 [size =\"28083200\"]\n  16 -> 38 [size =\"28083200\"]\n  16 -> 43 [size =\"28083200\"]\n  17 [size=\"121006080\", alpha=\"0.13\", expect_size=\"48402432\"] \n  17 -> 34 [size =\"48402432\"]\n  17 -> 36 [size =\"48402432\"]\n  17 -> 38 [size =\"48402432\"]\n  17 -> 39 [size =\"48402432\"]\n  17 -> 41 [size =\"48402432\"]\n  17 -> 42 [size =\"48402432\"]\n  18 [size=\"33116160\", alpha=\"0.07\", expect_size=\"13246464\"] \n  18 -> 37 [size =\"13246464\"]\n  19 [size=\"36730880\", alpha=\"0.13\", expect_size=\"14692352\"] \n  19 -> 36 [size =\"14692352\"]\n  19 -> 38 [size =\"14692352\"]\n  20 [size=\"64545280\", alpha=\"0.12\", expect_size=\"25818112\"] \n  20 -> 33 [size =\"25818112\"]\n  20 -> 40 [size =\"25818112\"]\n  21 [size=\"72995840\", alpha=\"0.09\", expect_size=\"29198336\"] \n  21 -> 33 [size =\"29198336\"]\n  21 -> 38 [size =\"29198336\"]\n  21 -> 41 [size =\"29198336\"]\n  21 -> 45 [size =\"29198336\"]\n  22 [size=\"88880640\", alpha=\"0.10\", expect_size=\"35552256\"] \n  22 -> 34 [size =\"35552256\"]\n  22 -> 40 [size =\"35552256\"]\n  22 -> 43 [size =\"35552256\"]\n  23 [size=\"122677760\", alpha=\"0.14\", expect_size=\"49071104\"] \n  23 -> 33 [size =\"49071104\"]\n  23 -> 37 [size =\"49071104\"]\n  23 -> 40 [size =\"49071104\"]\n  24 [size=\"90926080\", alpha=\"0.08\", expect_size=\"36370432\"] \n  25 [size=\"54888960\", alpha=\"0.06\", expect_size=\"21955584\"] \n  25 -> 33 [size =\"21955584\"]\n  25 -> 34 [size =\"21955584\"]\n  25 -> 37 [size =\"21955584\"]\n  26 [size=\"118699520\", alpha=\"0.07\", expect_size=\"47479808\"] \n  26 -> 33 [size =\"47479808\"]\n  26 -> 38 [size =\"47479808\"]\n  27 [size=\"65776640\", alpha=\"0.05\", expect_size=\"26310656\"] \n  27 -> 33 [size =\"26310656\"]\n  27 -> 35 [size =\"26310656\"]\n  27 -> 38 [size =\"26310656\"]\n  27 -> 39 [size =\"26310656\"]\n  27 -> 41 [size =\"26310656\"]\n  28 [size=\"22801920\", alpha=\"0.13\", expect_size=\"9120768\"] \n  28 -> 36 [size =\"9120768\"]\n  28 -> 38 [size =\"9120768\"]\n  28 -> 41 [size =\"9120768\"]\n  29 [size=\"66882560\", alpha=\"0.03\", expect_size=\"26753024\"] \n  29 -> 37 [size =\"26753024\"]\n  29 -> 38 [size =\"26753024\"]\n  29 -> 45 [size =\"26753024\"]\n  30 [size=\"25684480\", alpha=\"0.03\", expect_size=\"10273792\"] \n  30 -> 36 [size =\"10273792\"]\n  30 -> 37 [size =\"10273792\"]\n  30 -> 44 [size =\"10273792\"]\n  31 [size=\"99087360\", alpha=\"0.01\", expect_size=\"39634944\"] \n  31 -> 36 [size =\"39634944\"]\n  31 -> 38 [size =\"39634944\"]\n  31 -> 43 [size =\"39634944\"]\n  32 [size=\"34447360\", alpha=\"0.12\", expect_size=\"13778944\"] \n  32 -> 36 [size =\"13778944\"]\n  32 -> 41 [size =\"13778944\"]\n  32 -> 43 [size =\"13778944\"]\n  33 [size=\"96222720\", alpha=\"0.12\", expect_size=\"38489088\"] \n  34 [size=\"63731200\", alpha=\"0.05\", expect_size=\"25492480\"] \n  35 [size=\"112634880\", alpha=\"0.08\", expect_size=\"45053952\"] \n  36 [size=\"32107520\", alpha=\"0.02\", expect_size=\"12843008\"] \n  37 [size=\"74606080\", alpha=\"0.13\", expect_size=\"29842432\"] \n  38 [size=\"102272000\", alpha=\"0.08\", expect_size=\"40908800\"] \n  39 [size=\"62420480\", alpha=\"0.07\", expect_size=\"24968192\"] \n  40 [size=\"79546880\", alpha=\"0.14\", expect_size=\"31818752\"] \n  41 [size=\"96366080\", alpha=\"0.12\", expect_size=\"38546432\"] \n  42 [size=\"100369920\", alpha=\"0.03\", expect_size=\"40147968\"] \n  43 [size=\"50286080\", alpha=\"0.12\", expect_size=\"20114432\"] \n  44 [size=\"118873600\", alpha=\"0.14\", expect_size=\"47549440\"] \n  45 [size=\"30425600\", alpha=\"0.03\", expect_size=\"12170240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90262187\", alpha=\"0.02\", expect_size=\"27078656\"] \n  1 -> 29 [size =\"27078656\"]\n  1 -> 33 [size =\"27078656\"]\n  1 -> 34 [size =\"27078656\"]\n  1 -> 36 [size =\"27078656\"]\n  1 -> 38 [size =\"27078656\"]\n  1 -> 39 [size =\"27078656\"]\n  1 -> 41 [size =\"27078656\"]\n  1 -> 44 [size =\"27078656\"]\n  1 -> 45 [size =\"27078656\"]\n  2 [size=\"124842667\", alpha=\"0.08\", expect_size=\"37452800\"] \n  2 -> 28 [size =\"37452800\"]\n  2 -> 29 [size =\"37452800\"]\n  2 -> 33 [size =\"37452800\"]\n  2 -> 38 [size =\"37452800\"]\n  2 -> 39 [size =\"37452800\"]\n  2 -> 39 [size =\"37452800\"]\n  2 -> 40 [size =\"37452800\"]\n  2 -> 42 [size =\"37452800\"]\n  2 -> 43 [size =\"37452800\"]\n  2 -> 44 [size =\"37452800\"]\n  2 -> 45 [size =\"37452800\"]\n  3 [size=\"133751467\", alpha=\"0.14\", expect_size=\"40125440\"] \n  3 -> 24 [size =\"40125440\"]\n  3 -> 25 [size =\"40125440\"]\n  3 -> 28 [size =\"40125440\"]\n  3 -> 29 [size =\"40125440\"]\n  3 -> 33 [size =\"40125440\"]\n  3 -> 34 [size =\"40125440\"]\n  3 -> 38 [size =\"40125440\"]\n  4 [size=\"145172480\", alpha=\"0.09\", expect_size=\"43551744\"] \n  4 -> 26 [size =\"43551744\"]\n  4 -> 28 [size =\"43551744\"]\n  4 -> 28 [size =\"43551744\"]\n  4 -> 33 [size =\"43551744\"]\n  4 -> 34 [size =\"43551744\"]\n  4 -> 39 [size =\"43551744\"]\n  4 -> 43 [size =\"43551744\"]\n  4 -> 44 [size =\"43551744\"]\n  4 -> 45 [size =\"43551744\"]\n  5 [size=\"48141653\", alpha=\"0.07\", expect_size=\"14442496\"] \n  5 -> 22 [size =\"14442496\"]\n  5 -> 27 [size =\"14442496\"]\n  5 -> 28 [size =\"14442496\"]\n  5 -> 31 [size =\"14442496\"]\n  5 -> 32 [size =\"14442496\"]\n  5 -> 34 [size =\"14442496\"]\n  6 [size=\"43837440\", alpha=\"0.05\", expect_size=\"13151232\"] \n  6 -> 22 [size =\"13151232\"]\n  6 -> 28 [size =\"13151232\"]\n  6 -> 28 [size =\"13151232\"]\n  6 -> 34 [size =\"13151232\"]\n  6 -> 36 [size =\"13151232\"]\n  6 -> 38 [size =\"13151232\"]\n  6 -> 40 [size =\"13151232\"]\n  6 -> 43 [size =\"13151232\"]\n  6 -> 44 [size =\"13151232\"]\n  7 [size=\"170854400\", alpha=\"0.03\", expect_size=\"51256320\"] \n  7 -> 28 [size =\"51256320\"]\n  7 -> 31 [size =\"51256320\"]\n  7 -> 34 [size =\"51256320\"]\n  7 -> 38 [size =\"51256320\"]\n  7 -> 40 [size =\"51256320\"]\n  7 -> 43 [size =\"51256320\"]\n  8 [size=\"142499840\", alpha=\"0.20\", expect_size=\"42749952\"] \n  8 -> 27 [size =\"42749952\"]\n  8 -> 34 [size =\"42749952\"]\n  8 -> 43 [size =\"42749952\"]\n  9 [size=\"170738347\", alpha=\"0.08\", expect_size=\"51221504\"] \n  9 -> 27 [size =\"51221504\"]\n  9 -> 28 [size =\"51221504\"]\n  9 -> 29 [size =\"51221504\"]\n  9 -> 36 [size =\"51221504\"]\n  10 [size=\"118452907\", alpha=\"0.10\", expect_size=\"35535872\"] \n  10 -> 23 [size =\"35535872\"]\n  10 -> 32 [size =\"35535872\"]\n  10 -> 38 [size =\"35535872\"]\n  10 -> 45 [size =\"35535872\"]\n  11 [size=\"72253440\", alpha=\"0.14\", expect_size=\"21676032\"] \n  11 -> 22 [size =\"21676032\"]\n  11 -> 30 [size =\"21676032\"]\n  11 -> 32 [size =\"21676032\"]\n  11 -> 35 [size =\"21676032\"]\n  11 -> 43 [size =\"21676032\"]\n  11 -> 44 [size =\"21676032\"]\n  11 -> 45 [size =\"21676032\"]\n  12 [size=\"91900587\", alpha=\"0.01\", expect_size=\"27570176\"] \n  12 -> 26 [size =\"27570176\"]\n  12 -> 29 [size =\"27570176\"]\n  12 -> 31 [size =\"27570176\"]\n  12 -> 36 [size =\"27570176\"]\n  12 -> 39 [size =\"27570176\"]\n  12 -> 43 [size =\"27570176\"]\n  13 [size=\"155675307\", alpha=\"0.03\", expect_size=\"46702592\"] \n  13 -> 27 [size =\"46702592\"]\n  13 -> 29 [size =\"46702592\"]\n  13 -> 31 [size =\"46702592\"]\n  13 -> 32 [size =\"46702592\"]\n  13 -> 33 [size =\"46702592\"]\n  13 -> 36 [size =\"46702592\"]\n  13 -> 44 [size =\"46702592\"]\n  13 -> 45 [size =\"46702592\"]\n  14 [size=\"111366827\", alpha=\"0.19\", expect_size=\"33410048\"] \n  14 -> 23 [size =\"33410048\"]\n  14 -> 29 [size =\"33410048\"]\n  14 -> 33 [size =\"33410048\"]\n  14 -> 38 [size =\"33410048\"]\n  14 -> 44 [size =\"33410048\"]\n  14 -> 45 [size =\"33410048\"]\n  15 [size=\"24367787\", alpha=\"0.14\", expect_size=\"7310336\"] \n  15 -> 23 [size =\"7310336\"]\n  15 -> 31 [size =\"7310336\"]\n  15 -> 39 [size =\"7310336\"]\n  15 -> 43 [size =\"7310336\"]\n  16 [size=\"78547627\", alpha=\"0.12\", expect_size=\"23564288\"] \n  16 -> 22 [size =\"23564288\"]\n  16 -> 23 [size =\"23564288\"]\n  16 -> 29 [size =\"23564288\"]\n  16 -> 31 [size =\"23564288\"]\n  16 -> 32 [size =\"23564288\"]\n  16 -> 43 [size =\"23564288\"]\n  16 -> 45 [size =\"23564288\"]\n  17 [size=\"118889813\", alpha=\"0.06\", expect_size=\"35666944\"] \n  17 -> 29 [size =\"35666944\"]\n  17 -> 31 [size =\"35666944\"]\n  17 -> 32 [size =\"35666944\"]\n  17 -> 37 [size =\"35666944\"]\n  17 -> 39 [size =\"35666944\"]\n  18 [size=\"144544427\", alpha=\"0.20\", expect_size=\"43363328\"] \n  18 -> 22 [size =\"43363328\"]\n  18 -> 28 [size =\"43363328\"]\n  18 -> 29 [size =\"43363328\"]\n  18 -> 30 [size =\"43363328\"]\n  18 -> 31 [size =\"43363328\"]\n  18 -> 32 [size =\"43363328\"]\n  18 -> 33 [size =\"43363328\"]\n  18 -> 36 [size =\"43363328\"]\n  18 -> 38 [size =\"43363328\"]\n  18 -> 39 [size =\"43363328\"]\n  18 -> 41 [size =\"43363328\"]\n  18 -> 42 [size =\"43363328\"]\n  19 [size=\"143312213\", alpha=\"0.13\", expect_size=\"42993664\"] \n  19 -> 22 [size =\"42993664\"]\n  19 -> 28 [size =\"42993664\"]\n  19 -> 32 [size =\"42993664\"]\n  19 -> 33 [size =\"42993664\"]\n  19 -> 36 [size =\"42993664\"]\n  19 -> 39 [size =\"42993664\"]\n  20 [size=\"52732587\", alpha=\"0.17\", expect_size=\"15819776\"] \n  20 -> 22 [size =\"15819776\"]\n  20 -> 23 [size =\"15819776\"]\n  20 -> 29 [size =\"15819776\"]\n  20 -> 31 [size =\"15819776\"]\n  20 -> 32 [size =\"15819776\"]\n  20 -> 33 [size =\"15819776\"]\n  20 -> 36 [size =\"15819776\"]\n  20 -> 38 [size =\"15819776\"]\n  20 -> 39 [size =\"15819776\"]\n  20 -> 43 [size =\"15819776\"]\n  20 -> 45 [size =\"15819776\"]\n  21 [size=\"127754240\", alpha=\"0.10\", expect_size=\"38326272\"] \n  21 -> 32 [size =\"38326272\"]\n  21 -> 33 [size =\"38326272\"]\n  21 -> 34 [size =\"38326272\"]\n  21 -> 42 [size =\"38326272\"]\n  21 -> 44 [size =\"38326272\"]\n  21 -> 45 [size =\"38326272\"]\n  22 [size=\"77482667\", alpha=\"0.17\", expect_size=\"23244800\"] \n  23 [size=\"86033067\", alpha=\"0.19\", expect_size=\"25809920\"] \n  24 [size=\"112448853\", alpha=\"0.17\", expect_size=\"33734656\"] \n  25 [size=\"102062080\", alpha=\"0.19\", expect_size=\"30618624\"] \n  26 [size=\"54743040\", alpha=\"0.04\", expect_size=\"16422912\"] \n  27 [size=\"148367360\", alpha=\"0.09\", expect_size=\"44510208\"] \n  28 [size=\"36218880\", alpha=\"0.09\", expect_size=\"10865664\"] \n  29 [size=\"33484800\", alpha=\"0.09\", expect_size=\"10045440\"] \n  30 [size=\"135512747\", alpha=\"0.02\", expect_size=\"40653824\"] \n  31 [size=\"111848107\", alpha=\"0.02\", expect_size=\"33554432\"] \n  32 [size=\"35276800\", alpha=\"0.11\", expect_size=\"10583040\"] \n  33 [size=\"170455040\", alpha=\"0.18\", expect_size=\"51136512\"] \n  34 [size=\"161802240\", alpha=\"0.17\", expect_size=\"48540672\"] \n  35 [size=\"137011200\", alpha=\"0.17\", expect_size=\"41103360\"] \n  36 [size=\"126750720\", alpha=\"0.05\", expect_size=\"38025216\"] \n  37 [size=\"157388800\", alpha=\"0.05\", expect_size=\"47216640\"] \n  38 [size=\"67730773\", alpha=\"0.02\", expect_size=\"20319232\"] \n  39 [size=\"140090027\", alpha=\"0.14\", expect_size=\"42027008\"] \n  40 [size=\"55866027\", alpha=\"0.11\", expect_size=\"16759808\"] \n  41 [size=\"73328640\", alpha=\"0.02\", expect_size=\"21998592\"] \n  42 [size=\"89968640\", alpha=\"0.01\", expect_size=\"26990592\"] \n  43 [size=\"22920533\", alpha=\"0.08\", expect_size=\"6876160\"] \n  44 [size=\"167676587\", alpha=\"0.08\", expect_size=\"50302976\"] \n  45 [size=\"146264747\", alpha=\"0.18\", expect_size=\"43879424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84695040\", alpha=\"0.05\", expect_size=\"42347520\"] \n  1 -> 2 [size =\"42347520\"]\n  2 [size=\"55891968\", alpha=\"0.17\", expect_size=\"27945984\"] \n  2 -> 3 [size =\"27945984\"]\n  3 [size=\"19849216\", alpha=\"0.18\", expect_size=\"9924608\"] \n  3 -> 4 [size =\"9924608\"]\n  4 [size=\"23123968\", alpha=\"0.17\", expect_size=\"11561984\"] \n  4 -> 5 [size =\"11561984\"]\n  5 [size=\"60006400\", alpha=\"0.09\", expect_size=\"30003200\"] \n  5 -> 6 [size =\"30003200\"]\n  6 [size=\"37888000\", alpha=\"0.17\", expect_size=\"18944000\"] \n  6 -> 7 [size =\"18944000\"]\n  7 [size=\"18722816\", alpha=\"0.01\", expect_size=\"9361408\"] \n  7 -> 8 [size =\"9361408\"]\n  8 [size=\"93143040\", alpha=\"0.07\", expect_size=\"46571520\"] \n  8 -> 9 [size =\"46571520\"]\n  9 [size=\"72617984\", alpha=\"0.19\", expect_size=\"36308992\"] \n  9 -> 10 [size =\"36308992\"]\n  10 [size=\"74309632\", alpha=\"0.03\", expect_size=\"37154816\"] \n  10 -> 11 [size =\"37154816\"]\n  11 [size=\"80556032\", alpha=\"0.20\", expect_size=\"40278016\"] \n  11 -> 12 [size =\"40278016\"]\n  12 [size=\"11802624\", alpha=\"0.02\", expect_size=\"5901312\"] \n  12 -> 13 [size =\"5901312\"]\n  13 [size=\"91910144\", alpha=\"0.01\", expect_size=\"45955072\"] \n  13 -> 14 [size =\"45955072\"]\n  14 [size=\"83843072\", alpha=\"0.13\", expect_size=\"41921536\"] \n  14 -> 15 [size =\"41921536\"]\n  15 [size=\"70807552\", alpha=\"0.15\", expect_size=\"35403776\"] \n  15 -> 16 [size =\"35403776\"]\n  16 [size=\"20533248\", alpha=\"0.17\", expect_size=\"10266624\"] \n  16 -> 17 [size =\"10266624\"]\n  17 [size=\"99981312\", alpha=\"0.08\", expect_size=\"49990656\"] \n  17 -> 18 [size =\"49990656\"]\n  18 [size=\"11237376\", alpha=\"0.12\", expect_size=\"5618688\"] \n  18 -> 19 [size =\"5618688\"]\n  19 [size=\"46440448\", alpha=\"0.16\", expect_size=\"23220224\"] \n  19 -> 20 [size =\"23220224\"]\n  20 [size=\"43507712\", alpha=\"0.12\", expect_size=\"21753856\"] \n  20 -> 21 [size =\"21753856\"]\n  21 [size=\"56064000\", alpha=\"0.03\", expect_size=\"28032000\"] \n  21 -> 22 [size =\"28032000\"]\n  22 [size=\"54294528\", alpha=\"0.04\", expect_size=\"27147264\"] \n  22 -> 23 [size =\"27147264\"]\n  23 [size=\"64837632\", alpha=\"0.07\", expect_size=\"32418816\"] \n  23 -> 24 [size =\"32418816\"]\n  24 [size=\"68816896\", alpha=\"0.13\", expect_size=\"34408448\"] \n  24 -> 25 [size =\"34408448\"]\n  25 [size=\"33646592\", alpha=\"0.09\", expect_size=\"16823296\"] \n  25 -> 26 [size =\"16823296\"]\n  26 [size=\"11880448\", alpha=\"0.11\", expect_size=\"5940224\"] \n  26 -> 27 [size =\"5940224\"]\n  27 [size=\"91537408\", alpha=\"0.14\", expect_size=\"45768704\"] \n  27 -> 28 [size =\"45768704\"]\n  28 [size=\"36741120\", alpha=\"0.16\", expect_size=\"18370560\"] \n  28 -> 29 [size =\"18370560\"]\n  29 [size=\"95164416\", alpha=\"0.10\", expect_size=\"47582208\"] \n  29 -> 30 [size =\"47582208\"]\n  30 [size=\"75632640\", alpha=\"0.18\", expect_size=\"37816320\"] \n  30 -> 31 [size =\"37816320\"]\n  31 [size=\"35629056\", alpha=\"0.01\", expect_size=\"17814528\"] \n  31 -> 32 [size =\"17814528\"]\n  32 [size=\"49367040\", alpha=\"0.04\", expect_size=\"24683520\"] \n  32 -> 33 [size =\"24683520\"]\n  33 [size=\"67880960\", alpha=\"0.04\", expect_size=\"33940480\"] \n  33 -> 34 [size =\"33940480\"]\n  34 [size=\"100536320\", alpha=\"0.00\", expect_size=\"50268160\"] \n  34 -> 35 [size =\"50268160\"]\n  35 [size=\"65601536\", alpha=\"0.09\", expect_size=\"32800768\"] \n  35 -> 36 [size =\"32800768\"]\n  36 [size=\"12595200\", alpha=\"0.20\", expect_size=\"6297600\"] \n  36 -> 37 [size =\"6297600\"]\n  37 [size=\"63295488\", alpha=\"0.09\", expect_size=\"31647744\"] \n  37 -> 38 [size =\"31647744\"]\n  38 [size=\"37195776\", alpha=\"0.19\", expect_size=\"18597888\"] \n  38 -> 39 [size =\"18597888\"]\n  39 [size=\"16951296\", alpha=\"0.17\", expect_size=\"8475648\"] \n  39 -> 40 [size =\"8475648\"]\n  40 [size=\"64700416\", alpha=\"0.01\", expect_size=\"32350208\"] \n  40 -> 41 [size =\"32350208\"]\n  41 [size=\"55521280\", alpha=\"0.15\", expect_size=\"27760640\"] \n  41 -> 42 [size =\"27760640\"]\n  42 [size=\"59488256\", alpha=\"0.19\", expect_size=\"29744128\"] \n  42 -> 43 [size =\"29744128\"]\n  43 [size=\"77914112\", alpha=\"0.14\", expect_size=\"38957056\"] \n  43 -> 44 [size =\"38957056\"]\n  44 [size=\"97855488\", alpha=\"0.01\", expect_size=\"48927744\"] \n  44 -> 45 [size =\"48927744\"]\n  45 [size=\"98299904\", alpha=\"0.13\", expect_size=\"49149952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122675200\", alpha=\"0.17\", expect_size=\"36802560\"] \n  1 -> 37 [size =\"36802560\"]\n  1 -> 40 [size =\"36802560\"]\n  1 -> 41 [size =\"36802560\"]\n  1 -> 43 [size =\"36802560\"]\n  1 -> 44 [size =\"36802560\"]\n  2 [size=\"105608533\", alpha=\"0.12\", expect_size=\"31682560\"] \n  2 -> 30 [size =\"31682560\"]\n  2 -> 32 [size =\"31682560\"]\n  2 -> 35 [size =\"31682560\"]\n  2 -> 37 [size =\"31682560\"]\n  2 -> 44 [size =\"31682560\"]\n  2 -> 45 [size =\"31682560\"]\n  3 [size=\"167581013\", alpha=\"0.15\", expect_size=\"50274304\"] \n  3 -> 32 [size =\"50274304\"]\n  3 -> 33 [size =\"50274304\"]\n  3 -> 40 [size =\"50274304\"]\n  3 -> 44 [size =\"50274304\"]\n  4 [size=\"88401920\", alpha=\"0.03\", expect_size=\"26520576\"] \n  4 -> 35 [size =\"26520576\"]\n  4 -> 36 [size =\"26520576\"]\n  4 -> 40 [size =\"26520576\"]\n  4 -> 44 [size =\"26520576\"]\n  4 -> 45 [size =\"26520576\"]\n  5 [size=\"119845547\", alpha=\"0.01\", expect_size=\"35953664\"] \n  5 -> 30 [size =\"35953664\"]\n  5 -> 32 [size =\"35953664\"]\n  5 -> 33 [size =\"35953664\"]\n  5 -> 34 [size =\"35953664\"]\n  5 -> 36 [size =\"35953664\"]\n  5 -> 37 [size =\"35953664\"]\n  5 -> 39 [size =\"35953664\"]\n  5 -> 40 [size =\"35953664\"]\n  5 -> 43 [size =\"35953664\"]\n  5 -> 44 [size =\"35953664\"]\n  5 -> 45 [size =\"35953664\"]\n  6 [size=\"50763093\", alpha=\"0.08\", expect_size=\"15228928\"] \n  6 -> 30 [size =\"15228928\"]\n  6 -> 33 [size =\"15228928\"]\n  6 -> 44 [size =\"15228928\"]\n  6 -> 45 [size =\"15228928\"]\n  7 [size=\"135202133\", alpha=\"0.19\", expect_size=\"40560640\"] \n  7 -> 30 [size =\"40560640\"]\n  7 -> 32 [size =\"40560640\"]\n  7 -> 35 [size =\"40560640\"]\n  7 -> 36 [size =\"40560640\"]\n  7 -> 37 [size =\"40560640\"]\n  7 -> 40 [size =\"40560640\"]\n  8 [size=\"136925867\", alpha=\"0.08\", expect_size=\"41077760\"] \n  8 -> 30 [size =\"41077760\"]\n  8 -> 32 [size =\"41077760\"]\n  8 -> 35 [size =\"41077760\"]\n  8 -> 36 [size =\"41077760\"]\n  8 -> 43 [size =\"41077760\"]\n  9 [size=\"62928213\", alpha=\"0.15\", expect_size=\"18878464\"] \n  9 -> 32 [size =\"18878464\"]\n  9 -> 41 [size =\"18878464\"]\n  9 -> 44 [size =\"18878464\"]\n  10 [size=\"153879893\", alpha=\"0.05\", expect_size=\"46163968\"] \n  10 -> 32 [size =\"46163968\"]\n  10 -> 37 [size =\"46163968\"]\n  10 -> 39 [size =\"46163968\"]\n  10 -> 41 [size =\"46163968\"]\n  10 -> 43 [size =\"46163968\"]\n  11 [size=\"130570240\", alpha=\"0.14\", expect_size=\"39171072\"] \n  11 -> 30 [size =\"39171072\"]\n  11 -> 32 [size =\"39171072\"]\n  11 -> 37 [size =\"39171072\"]\n  11 -> 40 [size =\"39171072\"]\n  11 -> 41 [size =\"39171072\"]\n  11 -> 42 [size =\"39171072\"]\n  12 [size=\"107438080\", alpha=\"0.11\", expect_size=\"32231424\"] \n  12 -> 34 [size =\"32231424\"]\n  12 -> 37 [size =\"32231424\"]\n  12 -> 39 [size =\"32231424\"]\n  12 -> 40 [size =\"32231424\"]\n  13 [size=\"40721067\", alpha=\"0.20\", expect_size=\"12216320\"] \n  13 -> 32 [size =\"12216320\"]\n  13 -> 36 [size =\"12216320\"]\n  13 -> 38 [size =\"12216320\"]\n  13 -> 39 [size =\"12216320\"]\n  14 [size=\"157835947\", alpha=\"0.17\", expect_size=\"47350784\"] \n  14 -> 36 [size =\"47350784\"]\n  14 -> 37 [size =\"47350784\"]\n  14 -> 39 [size =\"47350784\"]\n  14 -> 40 [size =\"47350784\"]\n  14 -> 43 [size =\"47350784\"]\n  14 -> 45 [size =\"47350784\"]\n  15 [size=\"22616747\", alpha=\"0.19\", expect_size=\"6785024\"] \n  15 -> 31 [size =\"6785024\"]\n  15 -> 36 [size =\"6785024\"]\n  15 -> 38 [size =\"6785024\"]\n  15 -> 39 [size =\"6785024\"]\n  15 -> 40 [size =\"6785024\"]\n  15 -> 44 [size =\"6785024\"]\n  16 [size=\"31232000\", alpha=\"0.12\", expect_size=\"9369600\"] \n  16 -> 32 [size =\"9369600\"]\n  16 -> 36 [size =\"9369600\"]\n  16 -> 39 [size =\"9369600\"]\n  16 -> 40 [size =\"9369600\"]\n  16 -> 44 [size =\"9369600\"]\n  17 [size=\"91774293\", alpha=\"0.10\", expect_size=\"27532288\"] \n  17 -> 30 [size =\"27532288\"]\n  17 -> 36 [size =\"27532288\"]\n  17 -> 37 [size =\"27532288\"]\n  17 -> 38 [size =\"27532288\"]\n  17 -> 40 [size =\"27532288\"]\n  17 -> 43 [size =\"27532288\"]\n  17 -> 45 [size =\"27532288\"]\n  18 [size=\"84258133\", alpha=\"0.02\", expect_size=\"25277440\"] \n  18 -> 30 [size =\"25277440\"]\n  18 -> 40 [size =\"25277440\"]\n  18 -> 45 [size =\"25277440\"]\n  19 [size=\"144585387\", alpha=\"0.00\", expect_size=\"43375616\"] \n  19 -> 32 [size =\"43375616\"]\n  19 -> 35 [size =\"43375616\"]\n  19 -> 39 [size =\"43375616\"]\n  19 -> 41 [size =\"43375616\"]\n  19 -> 44 [size =\"43375616\"]\n  19 -> 45 [size =\"43375616\"]\n  20 [size=\"107485867\", alpha=\"0.03\", expect_size=\"32245760\"] \n  20 -> 32 [size =\"32245760\"]\n  20 -> 35 [size =\"32245760\"]\n  20 -> 37 [size =\"32245760\"]\n  20 -> 38 [size =\"32245760\"]\n  20 -> 41 [size =\"32245760\"]\n  20 -> 43 [size =\"32245760\"]\n  21 [size=\"146097493\", alpha=\"0.19\", expect_size=\"43829248\"] \n  21 -> 30 [size =\"43829248\"]\n  21 -> 35 [size =\"43829248\"]\n  21 -> 38 [size =\"43829248\"]\n  21 -> 38 [size =\"43829248\"]\n  21 -> 41 [size =\"43829248\"]\n  21 -> 45 [size =\"43829248\"]\n  22 [size=\"102615040\", alpha=\"0.07\", expect_size=\"30784512\"] \n  22 -> 32 [size =\"30784512\"]\n  22 -> 35 [size =\"30784512\"]\n  22 -> 36 [size =\"30784512\"]\n  22 -> 37 [size =\"30784512\"]\n  22 -> 39 [size =\"30784512\"]\n  22 -> 44 [size =\"30784512\"]\n  23 [size=\"29474133\", alpha=\"0.13\", expect_size=\"8842240\"] \n  23 -> 30 [size =\"8842240\"]\n  23 -> 32 [size =\"8842240\"]\n  23 -> 33 [size =\"8842240\"]\n  23 -> 35 [size =\"8842240\"]\n  23 -> 36 [size =\"8842240\"]\n  23 -> 44 [size =\"8842240\"]\n  24 [size=\"26265600\", alpha=\"0.09\", expect_size=\"7879680\"] \n  24 -> 35 [size =\"7879680\"]\n  24 -> 36 [size =\"7879680\"]\n  24 -> 37 [size =\"7879680\"]\n  24 -> 38 [size =\"7879680\"]\n  25 [size=\"158720000\", alpha=\"0.17\", expect_size=\"47616000\"] \n  25 -> 35 [size =\"47616000\"]\n  25 -> 37 [size =\"47616000\"]\n  25 -> 38 [size =\"47616000\"]\n  25 -> 40 [size =\"47616000\"]\n  25 -> 44 [size =\"47616000\"]\n  26 [size=\"148599467\", alpha=\"0.10\", expect_size=\"44579840\"] \n  26 -> 32 [size =\"44579840\"]\n  26 -> 34 [size =\"44579840\"]\n  26 -> 38 [size =\"44579840\"]\n  26 -> 39 [size =\"44579840\"]\n  26 -> 44 [size =\"44579840\"]\n  27 [size=\"84585813\", alpha=\"0.18\", expect_size=\"25375744\"] \n  27 -> 31 [size =\"25375744\"]\n  27 -> 33 [size =\"25375744\"]\n  27 -> 36 [size =\"25375744\"]\n  27 -> 39 [size =\"25375744\"]\n  27 -> 45 [size =\"25375744\"]\n  28 [size=\"161372160\", alpha=\"0.01\", expect_size=\"48411648\"] \n  28 -> 30 [size =\"48411648\"]\n  29 [size=\"17691307\", alpha=\"0.10\", expect_size=\"5307392\"] \n  29 -> 30 [size =\"5307392\"]\n  29 -> 41 [size =\"5307392\"]\n  29 -> 45 [size =\"5307392\"]\n  30 [size=\"20210347\", alpha=\"0.16\", expect_size=\"6063104\"] \n  31 [size=\"45195947\", alpha=\"0.16\", expect_size=\"13558784\"] \n  32 [size=\"40567467\", alpha=\"0.08\", expect_size=\"12170240\"] \n  33 [size=\"94457173\", alpha=\"0.03\", expect_size=\"28337152\"] \n  34 [size=\"42397013\", alpha=\"0.16\", expect_size=\"12719104\"] \n  35 [size=\"112605867\", alpha=\"0.09\", expect_size=\"33781760\"] \n  36 [size=\"92876800\", alpha=\"0.04\", expect_size=\"27863040\"] \n  37 [size=\"173783040\", alpha=\"0.09\", expect_size=\"52134912\"] \n  38 [size=\"158484480\", alpha=\"0.02\", expect_size=\"47545344\"] \n  39 [size=\"166427307\", alpha=\"0.11\", expect_size=\"49928192\"] \n  40 [size=\"85780480\", alpha=\"0.12\", expect_size=\"25734144\"] \n  41 [size=\"52947627\", alpha=\"0.09\", expect_size=\"15884288\"] \n  42 [size=\"23743147\", alpha=\"0.17\", expect_size=\"7122944\"] \n  43 [size=\"88125440\", alpha=\"0.06\", expect_size=\"26437632\"] \n  44 [size=\"112056320\", alpha=\"0.16\", expect_size=\"33616896\"] \n  45 [size=\"78612480\", alpha=\"0.05\", expect_size=\"23583744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163013973\", alpha=\"0.10\", expect_size=\"48904192\"] \n  1 -> 5 [size =\"48904192\"]\n  1 -> 9 [size =\"48904192\"]\n  2 [size=\"103522987\", alpha=\"0.05\", expect_size=\"31056896\"] \n  2 -> 5 [size =\"31056896\"]\n  3 [size=\"109339307\", alpha=\"0.13\", expect_size=\"32801792\"] \n  3 -> 6 [size =\"32801792\"]\n  3 -> 8 [size =\"32801792\"]\n  3 -> 9 [size =\"32801792\"]\n  4 [size=\"166232747\", alpha=\"0.10\", expect_size=\"49869824\"] \n  4 -> 5 [size =\"49869824\"]\n  4 -> 7 [size =\"49869824\"]\n  4 -> 9 [size =\"49869824\"]\n  5 [size=\"50083840\", alpha=\"0.02\", expect_size=\"15025152\"] \n  5 -> 10 [size =\"15025152\"]\n  5 -> 11 [size =\"15025152\"]\n  5 -> 12 [size =\"15025152\"]\n  6 [size=\"105035093\", alpha=\"0.01\", expect_size=\"31510528\"] \n  6 -> 10 [size =\"31510528\"]\n  6 -> 11 [size =\"31510528\"]\n  7 [size=\"144578560\", alpha=\"0.11\", expect_size=\"43373568\"] \n  7 -> 10 [size =\"43373568\"]\n  7 -> 11 [size =\"43373568\"]\n  7 -> 12 [size =\"43373568\"]\n  7 -> 14 [size =\"43373568\"]\n  8 [size=\"83425280\", alpha=\"0.14\", expect_size=\"25027584\"] \n  8 -> 14 [size =\"25027584\"]\n  9 [size=\"160866987\", alpha=\"0.19\", expect_size=\"48260096\"] \n  9 -> 10 [size =\"48260096\"]\n  9 -> 11 [size =\"48260096\"]\n  9 -> 13 [size =\"48260096\"]\n  9 -> 15 [size =\"48260096\"]\n  10 [size=\"149715627\", alpha=\"0.14\", expect_size=\"44914688\"] \n  10 -> 18 [size =\"44914688\"]\n  11 [size=\"82875733\", alpha=\"0.16\", expect_size=\"24862720\"] \n  11 -> 16 [size =\"24862720\"]\n  11 -> 19 [size =\"24862720\"]\n  12 [size=\"157716480\", alpha=\"0.09\", expect_size=\"47314944\"] \n  12 -> 17 [size =\"47314944\"]\n  13 [size=\"37795840\", alpha=\"0.15\", expect_size=\"11338752\"] \n  13 -> 16 [size =\"11338752\"]\n  13 -> 20 [size =\"11338752\"]\n  14 [size=\"136192000\", alpha=\"0.09\", expect_size=\"40857600\"] \n  14 -> 17 [size =\"40857600\"]\n  14 -> 18 [size =\"40857600\"]\n  14 -> 20 [size =\"40857600\"]\n  15 [size=\"61026987\", alpha=\"0.05\", expect_size=\"18308096\"] \n  15 -> 18 [size =\"18308096\"]\n  15 -> 19 [size =\"18308096\"]\n  15 -> 20 [size =\"18308096\"]\n  16 [size=\"75086507\", alpha=\"0.02\", expect_size=\"22525952\"] \n  16 -> 21 [size =\"22525952\"]\n  16 -> 25 [size =\"22525952\"]\n  16 -> 26 [size =\"22525952\"]\n  17 [size=\"80592213\", alpha=\"0.12\", expect_size=\"24177664\"] \n  17 -> 22 [size =\"24177664\"]\n  17 -> 27 [size =\"24177664\"]\n  18 [size=\"165649067\", alpha=\"0.03\", expect_size=\"49694720\"] \n  18 -> 23 [size =\"49694720\"]\n  19 [size=\"118944427\", alpha=\"0.08\", expect_size=\"35683328\"] \n  19 -> 24 [size =\"35683328\"]\n  20 [size=\"114657280\", alpha=\"0.10\", expect_size=\"34397184\"] \n  20 -> 24 [size =\"34397184\"]\n  20 -> 25 [size =\"34397184\"]\n  21 [size=\"64546133\", alpha=\"0.11\", expect_size=\"19363840\"] \n  21 -> 28 [size =\"19363840\"]\n  21 -> 29 [size =\"19363840\"]\n  21 -> 32 [size =\"19363840\"]\n  22 [size=\"33024000\", alpha=\"0.02\", expect_size=\"9907200\"] \n  22 -> 29 [size =\"9907200\"]\n  22 -> 34 [size =\"9907200\"]\n  23 [size=\"101236053\", alpha=\"0.06\", expect_size=\"30370816\"] \n  23 -> 28 [size =\"30370816\"]\n  23 -> 29 [size =\"30370816\"]\n  23 -> 31 [size =\"30370816\"]\n  23 -> 32 [size =\"30370816\"]\n  23 -> 33 [size =\"30370816\"]\n  23 -> 34 [size =\"30370816\"]\n  24 [size=\"59286187\", alpha=\"0.08\", expect_size=\"17785856\"] \n  24 -> 29 [size =\"17785856\"]\n  24 -> 30 [size =\"17785856\"]\n  24 -> 31 [size =\"17785856\"]\n  24 -> 32 [size =\"17785856\"]\n  24 -> 33 [size =\"17785856\"]\n  25 [size=\"131614720\", alpha=\"0.14\", expect_size=\"39484416\"] \n  25 -> 30 [size =\"39484416\"]\n  25 -> 32 [size =\"39484416\"]\n  25 -> 33 [size =\"39484416\"]\n  26 [size=\"174230187\", alpha=\"0.12\", expect_size=\"52269056\"] \n  26 -> 28 [size =\"52269056\"]\n  26 -> 33 [size =\"52269056\"]\n  27 [size=\"29460480\", alpha=\"0.05\", expect_size=\"8838144\"] \n  27 -> 33 [size =\"8838144\"]\n  28 [size=\"122589867\", alpha=\"0.07\", expect_size=\"36776960\"] \n  28 -> 36 [size =\"36776960\"]\n  28 -> 37 [size =\"36776960\"]\n  28 -> 39 [size =\"36776960\"]\n  28 -> 40 [size =\"36776960\"]\n  29 [size=\"147172693\", alpha=\"0.07\", expect_size=\"44151808\"] \n  30 [size=\"52964693\", alpha=\"0.04\", expect_size=\"15889408\"] \n  30 -> 36 [size =\"15889408\"]\n  31 [size=\"132734293\", alpha=\"0.10\", expect_size=\"39820288\"] \n  31 -> 40 [size =\"39820288\"]\n  32 [size=\"60153173\", alpha=\"0.13\", expect_size=\"18045952\"] \n  32 -> 35 [size =\"18045952\"]\n  32 -> 36 [size =\"18045952\"]\n  32 -> 38 [size =\"18045952\"]\n  32 -> 39 [size =\"18045952\"]\n  32 -> 40 [size =\"18045952\"]\n  33 [size=\"78564693\", alpha=\"0.19\", expect_size=\"23569408\"] \n  33 -> 39 [size =\"23569408\"]\n  34 [size=\"122542080\", alpha=\"0.20\", expect_size=\"36762624\"] \n  34 -> 37 [size =\"36762624\"]\n  34 -> 39 [size =\"36762624\"]\n  34 -> 40 [size =\"36762624\"]\n  35 [size=\"26272427\", alpha=\"0.06\", expect_size=\"7881728\"] \n  35 -> 41 [size =\"7881728\"]\n  35 -> 43 [size =\"7881728\"]\n  35 -> 44 [size =\"7881728\"]\n  36 [size=\"136932693\", alpha=\"0.20\", expect_size=\"41079808\"] \n  36 -> 41 [size =\"41079808\"]\n  36 -> 42 [size =\"41079808\"]\n  36 -> 44 [size =\"41079808\"]\n  37 [size=\"70232747\", alpha=\"0.02\", expect_size=\"21069824\"] \n  37 -> 42 [size =\"21069824\"]\n  38 [size=\"110554453\", alpha=\"0.02\", expect_size=\"33166336\"] \n  38 -> 41 [size =\"33166336\"]\n  38 -> 42 [size =\"33166336\"]\n  39 [size=\"166563840\", alpha=\"0.16\", expect_size=\"49969152\"] \n  39 -> 44 [size =\"49969152\"]\n  39 -> 45 [size =\"49969152\"]\n  40 [size=\"67082240\", alpha=\"0.01\", expect_size=\"20124672\"] \n  40 -> 41 [size =\"20124672\"]\n  40 -> 45 [size =\"20124672\"]\n  41 [size=\"101632000\", alpha=\"0.13\", expect_size=\"30489600\"] \n  42 [size=\"21046613\", alpha=\"0.07\", expect_size=\"6313984\"] \n  43 [size=\"122852693\", alpha=\"0.12\", expect_size=\"36855808\"] \n  44 [size=\"112797013\", alpha=\"0.01\", expect_size=\"33839104\"] \n  45 [size=\"109595307\", alpha=\"0.06\", expect_size=\"32878592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80599040\", alpha=\"0.15\", expect_size=\"32239616\"] \n  1 -> 7 [size =\"32239616\"]\n  1 -> 10 [size =\"32239616\"]\n  1 -> 12 [size =\"32239616\"]\n  2 [size=\"105477120\", alpha=\"0.05\", expect_size=\"42190848\"] \n  2 -> 11 [size =\"42190848\"]\n  2 -> 12 [size =\"42190848\"]\n  3 [size=\"30113280\", alpha=\"0.09\", expect_size=\"12045312\"] \n  3 -> 9 [size =\"12045312\"]\n  3 -> 10 [size =\"12045312\"]\n  4 [size=\"101862400\", alpha=\"0.14\", expect_size=\"40744960\"] \n  4 -> 8 [size =\"40744960\"]\n  4 -> 10 [size =\"40744960\"]\n  4 -> 12 [size =\"40744960\"]\n  5 [size=\"120207360\", alpha=\"0.17\", expect_size=\"48082944\"] \n  5 -> 10 [size =\"48082944\"]\n  5 -> 11 [size =\"48082944\"]\n  5 -> 12 [size =\"48082944\"]\n  6 [size=\"15380480\", alpha=\"0.17\", expect_size=\"6152192\"] \n  7 [size=\"40176640\", alpha=\"0.09\", expect_size=\"16070656\"] \n  7 -> 16 [size =\"16070656\"]\n  7 -> 17 [size =\"16070656\"]\n  8 [size=\"74424320\", alpha=\"0.03\", expect_size=\"29769728\"] \n  8 -> 13 [size =\"29769728\"]\n  8 -> 14 [size =\"29769728\"]\n  8 -> 17 [size =\"29769728\"]\n  8 -> 18 [size =\"29769728\"]\n  9 [size=\"36966400\", alpha=\"0.16\", expect_size=\"14786560\"] \n  9 -> 13 [size =\"14786560\"]\n  9 -> 14 [size =\"14786560\"]\n  10 [size=\"122629120\", alpha=\"0.16\", expect_size=\"49051648\"] \n  10 -> 13 [size =\"49051648\"]\n  10 -> 17 [size =\"49051648\"]\n  11 [size=\"83919360\", alpha=\"0.09\", expect_size=\"33567744\"] \n  11 -> 14 [size =\"33567744\"]\n  11 -> 15 [size =\"33567744\"]\n  11 -> 16 [size =\"33567744\"]\n  11 -> 17 [size =\"33567744\"]\n  12 [size=\"56834560\", alpha=\"0.12\", expect_size=\"22733824\"] \n  12 -> 18 [size =\"22733824\"]\n  13 [size=\"86525440\", alpha=\"0.03\", expect_size=\"34610176\"] \n  13 -> 22 [size =\"34610176\"]\n  13 -> 23 [size =\"34610176\"]\n  14 [size=\"18931200\", alpha=\"0.04\", expect_size=\"7572480\"] \n  15 [size=\"103741440\", alpha=\"0.04\", expect_size=\"41496576\"] \n  15 -> 20 [size =\"41496576\"]\n  15 -> 21 [size =\"41496576\"]\n  15 -> 23 [size =\"41496576\"]\n  16 [size=\"88373760\", alpha=\"0.15\", expect_size=\"35349504\"] \n  16 -> 20 [size =\"35349504\"]\n  16 -> 23 [size =\"35349504\"]\n  17 [size=\"71365120\", alpha=\"0.02\", expect_size=\"28546048\"] \n  17 -> 21 [size =\"28546048\"]\n  17 -> 22 [size =\"28546048\"]\n  17 -> 24 [size =\"28546048\"]\n  18 [size=\"126202880\", alpha=\"0.20\", expect_size=\"50481152\"] \n  18 -> 19 [size =\"50481152\"]\n  18 -> 20 [size =\"50481152\"]\n  18 -> 22 [size =\"50481152\"]\n  18 -> 23 [size =\"50481152\"]\n  18 -> 24 [size =\"50481152\"]\n  19 [size=\"27745280\", alpha=\"0.13\", expect_size=\"11098112\"] \n  20 [size=\"120522240\", alpha=\"0.17\", expect_size=\"48208896\"] \n  20 -> 29 [size =\"48208896\"]\n  20 -> 30 [size =\"48208896\"]\n  21 [size=\"99681280\", alpha=\"0.12\", expect_size=\"39872512\"] \n  21 -> 25 [size =\"39872512\"]\n  21 -> 27 [size =\"39872512\"]\n  21 -> 28 [size =\"39872512\"]\n  22 [size=\"33794560\", alpha=\"0.03\", expect_size=\"13517824\"] \n  22 -> 25 [size =\"13517824\"]\n  22 -> 26 [size =\"13517824\"]\n  22 -> 27 [size =\"13517824\"]\n  22 -> 30 [size =\"13517824\"]\n  23 [size=\"105945600\", alpha=\"0.16\", expect_size=\"42378240\"] \n  23 -> 26 [size =\"42378240\"]\n  23 -> 30 [size =\"42378240\"]\n  24 [size=\"121364480\", alpha=\"0.05\", expect_size=\"48545792\"] \n  24 -> 26 [size =\"48545792\"]\n  24 -> 28 [size =\"48545792\"]\n  24 -> 29 [size =\"48545792\"]\n  25 [size=\"24908800\", alpha=\"0.12\", expect_size=\"9963520\"] \n  25 -> 35 [size =\"9963520\"]\n  26 [size=\"48002560\", alpha=\"0.19\", expect_size=\"19201024\"] \n  26 -> 32 [size =\"19201024\"]\n  26 -> 33 [size =\"19201024\"]\n  26 -> 36 [size =\"19201024\"]\n  27 [size=\"20339200\", alpha=\"0.11\", expect_size=\"8135680\"] \n  27 -> 33 [size =\"8135680\"]\n  27 -> 34 [size =\"8135680\"]\n  28 [size=\"32279040\", alpha=\"0.13\", expect_size=\"12911616\"] \n  28 -> 31 [size =\"12911616\"]\n  28 -> 35 [size =\"12911616\"]\n  29 [size=\"31690240\", alpha=\"0.19\", expect_size=\"12676096\"] \n  29 -> 31 [size =\"12676096\"]\n  29 -> 32 [size =\"12676096\"]\n  29 -> 33 [size =\"12676096\"]\n  29 -> 34 [size =\"12676096\"]\n  29 -> 36 [size =\"12676096\"]\n  30 [size=\"110428160\", alpha=\"0.04\", expect_size=\"44171264\"] \n  30 -> 31 [size =\"44171264\"]\n  30 -> 32 [size =\"44171264\"]\n  30 -> 35 [size =\"44171264\"]\n  31 [size=\"92433920\", alpha=\"0.01\", expect_size=\"36973568\"] \n  31 -> 41 [size =\"36973568\"]\n  32 [size=\"45201920\", alpha=\"0.05\", expect_size=\"18080768\"] \n  32 -> 40 [size =\"18080768\"]\n  33 [size=\"61104640\", alpha=\"0.01\", expect_size=\"24441856\"] \n  33 -> 38 [size =\"24441856\"]\n  33 -> 41 [size =\"24441856\"]\n  34 [size=\"39180800\", alpha=\"0.19\", expect_size=\"15672320\"] \n  34 -> 39 [size =\"15672320\"]\n  35 [size=\"68190720\", alpha=\"0.12\", expect_size=\"27276288\"] \n  35 -> 37 [size =\"27276288\"]\n  35 -> 38 [size =\"27276288\"]\n  36 [size=\"19299840\", alpha=\"0.18\", expect_size=\"7719936\"] \n  36 -> 41 [size =\"7719936\"]\n  37 [size=\"130718720\", alpha=\"0.13\", expect_size=\"52287488\"] \n  37 -> 42 [size =\"52287488\"]\n  37 -> 45 [size =\"52287488\"]\n  38 [size=\"75622400\", alpha=\"0.08\", expect_size=\"30248960\"] \n  38 -> 43 [size =\"30248960\"]\n  39 [size=\"33292800\", alpha=\"0.06\", expect_size=\"13317120\"] \n  40 [size=\"27591680\", alpha=\"0.01\", expect_size=\"11036672\"] \n  40 -> 42 [size =\"11036672\"]\n  40 -> 43 [size =\"11036672\"]\n  41 [size=\"50076160\", alpha=\"0.11\", expect_size=\"20030464\"] \n  41 -> 44 [size =\"20030464\"]\n  41 -> 45 [size =\"20030464\"]\n  42 [size=\"53596160\", alpha=\"0.05\", expect_size=\"21438464\"] \n  43 [size=\"81879040\", alpha=\"0.14\", expect_size=\"32751616\"] \n  44 [size=\"90383360\", alpha=\"0.02\", expect_size=\"36153344\"] \n  45 [size=\"84933120\", alpha=\"0.12\", expect_size=\"33973248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45637632\", alpha=\"0.09\", expect_size=\"22818816\"] \n  1 -> 2 [size =\"22818816\"]\n  2 [size=\"24862720\", alpha=\"0.10\", expect_size=\"12431360\"] \n  2 -> 3 [size =\"12431360\"]\n  3 [size=\"29724672\", alpha=\"0.05\", expect_size=\"14862336\"] \n  3 -> 4 [size =\"14862336\"]\n  4 [size=\"54300672\", alpha=\"0.12\", expect_size=\"27150336\"] \n  4 -> 5 [size =\"27150336\"]\n  5 [size=\"68261888\", alpha=\"0.15\", expect_size=\"34130944\"] \n  5 -> 6 [size =\"34130944\"]\n  6 [size=\"34904064\", alpha=\"0.16\", expect_size=\"17452032\"] \n  6 -> 7 [size =\"17452032\"]\n  7 [size=\"49571840\", alpha=\"0.03\", expect_size=\"24785920\"] \n  7 -> 8 [size =\"24785920\"]\n  8 [size=\"73168896\", alpha=\"0.05\", expect_size=\"36584448\"] \n  8 -> 9 [size =\"36584448\"]\n  9 [size=\"27170816\", alpha=\"0.13\", expect_size=\"13585408\"] \n  9 -> 10 [size =\"13585408\"]\n  10 [size=\"102932480\", alpha=\"0.10\", expect_size=\"51466240\"] \n  10 -> 11 [size =\"51466240\"]\n  11 [size=\"70770688\", alpha=\"0.16\", expect_size=\"35385344\"] \n  11 -> 12 [size =\"35385344\"]\n  12 [size=\"18962432\", alpha=\"0.10\", expect_size=\"9481216\"] \n  12 -> 13 [size =\"9481216\"]\n  13 [size=\"65740800\", alpha=\"0.17\", expect_size=\"32870400\"] \n  13 -> 14 [size =\"32870400\"]\n  14 [size=\"91564032\", alpha=\"0.05\", expect_size=\"45782016\"] \n  14 -> 15 [size =\"45782016\"]\n  15 [size=\"52992000\", alpha=\"0.07\", expect_size=\"26496000\"] \n  15 -> 16 [size =\"26496000\"]\n  16 [size=\"28938240\", alpha=\"0.02\", expect_size=\"14469120\"] \n  16 -> 17 [size =\"14469120\"]\n  17 [size=\"11657216\", alpha=\"0.07\", expect_size=\"5828608\"] \n  17 -> 18 [size =\"5828608\"]\n  18 [size=\"25882624\", alpha=\"0.11\", expect_size=\"12941312\"] \n  18 -> 19 [size =\"12941312\"]\n  19 [size=\"48934912\", alpha=\"0.18\", expect_size=\"24467456\"] \n  19 -> 20 [size =\"24467456\"]\n  20 [size=\"13645824\", alpha=\"0.10\", expect_size=\"6822912\"] \n  20 -> 21 [size =\"6822912\"]\n  21 [size=\"59080704\", alpha=\"0.09\", expect_size=\"29540352\"] \n  21 -> 22 [size =\"29540352\"]\n  22 [size=\"37935104\", alpha=\"0.11\", expect_size=\"18967552\"] \n  22 -> 23 [size =\"18967552\"]\n  23 [size=\"85991424\", alpha=\"0.18\", expect_size=\"42995712\"] \n  23 -> 24 [size =\"42995712\"]\n  24 [size=\"73261056\", alpha=\"0.13\", expect_size=\"36630528\"] \n  24 -> 25 [size =\"36630528\"]\n  25 [size=\"96890880\", alpha=\"0.01\", expect_size=\"48445440\"] \n  25 -> 26 [size =\"48445440\"]\n  26 [size=\"36747264\", alpha=\"0.14\", expect_size=\"18373632\"] \n  26 -> 27 [size =\"18373632\"]\n  27 [size=\"46254080\", alpha=\"0.16\", expect_size=\"23127040\"] \n  27 -> 28 [size =\"23127040\"]\n  28 [size=\"79095808\", alpha=\"0.11\", expect_size=\"39547904\"] \n  28 -> 29 [size =\"39547904\"]\n  29 [size=\"36911104\", alpha=\"0.09\", expect_size=\"18455552\"] \n  29 -> 30 [size =\"18455552\"]\n  30 [size=\"27295744\", alpha=\"0.07\", expect_size=\"13647872\"] \n  30 -> 31 [size =\"13647872\"]\n  31 [size=\"73472000\", alpha=\"0.17\", expect_size=\"36736000\"] \n  31 -> 32 [size =\"36736000\"]\n  32 [size=\"21848064\", alpha=\"0.10\", expect_size=\"10924032\"] \n  32 -> 33 [size =\"10924032\"]\n  33 [size=\"75548672\", alpha=\"0.14\", expect_size=\"37774336\"] \n  33 -> 34 [size =\"37774336\"]\n  34 [size=\"65069056\", alpha=\"0.15\", expect_size=\"32534528\"] \n  34 -> 35 [size =\"32534528\"]\n  35 [size=\"34224128\", alpha=\"0.05\", expect_size=\"17112064\"] \n  35 -> 36 [size =\"17112064\"]\n  36 [size=\"40790016\", alpha=\"0.19\", expect_size=\"20395008\"] \n  36 -> 37 [size =\"20395008\"]\n  37 [size=\"14815232\", alpha=\"0.14\", expect_size=\"7407616\"] \n  37 -> 38 [size =\"7407616\"]\n  38 [size=\"89757696\", alpha=\"0.11\", expect_size=\"44878848\"] \n  38 -> 39 [size =\"44878848\"]\n  39 [size=\"45189120\", alpha=\"0.17\", expect_size=\"22594560\"] \n  39 -> 40 [size =\"22594560\"]\n  40 [size=\"86538240\", alpha=\"0.04\", expect_size=\"43269120\"] \n  40 -> 41 [size =\"43269120\"]\n  41 [size=\"23136256\", alpha=\"0.01\", expect_size=\"11568128\"] \n  41 -> 42 [size =\"11568128\"]\n  42 [size=\"104013824\", alpha=\"0.03\", expect_size=\"52006912\"] \n  42 -> 43 [size =\"52006912\"]\n  43 [size=\"54532096\", alpha=\"0.02\", expect_size=\"27266048\"] \n  43 -> 44 [size =\"27266048\"]\n  44 [size=\"24315904\", alpha=\"0.14\", expect_size=\"12157952\"] \n  44 -> 45 [size =\"12157952\"]\n  45 [size=\"94447616\", alpha=\"0.04\", expect_size=\"47223808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14811136\", alpha=\"0.16\", expect_size=\"7405568\"] \n  1 -> 2 [size =\"7405568\"]\n  2 [size=\"90681344\", alpha=\"0.14\", expect_size=\"45340672\"] \n  2 -> 3 [size =\"45340672\"]\n  3 [size=\"61509632\", alpha=\"0.07\", expect_size=\"30754816\"] \n  3 -> 4 [size =\"30754816\"]\n  4 [size=\"13957120\", alpha=\"0.02\", expect_size=\"6978560\"] \n  4 -> 5 [size =\"6978560\"]\n  5 [size=\"19576832\", alpha=\"0.19\", expect_size=\"9788416\"] \n  5 -> 6 [size =\"9788416\"]\n  6 [size=\"44544000\", alpha=\"0.18\", expect_size=\"22272000\"] \n  6 -> 7 [size =\"22272000\"]\n  7 [size=\"100923392\", alpha=\"0.05\", expect_size=\"50461696\"] \n  7 -> 8 [size =\"50461696\"]\n  8 [size=\"11978752\", alpha=\"0.12\", expect_size=\"5989376\"] \n  8 -> 9 [size =\"5989376\"]\n  9 [size=\"97562624\", alpha=\"0.08\", expect_size=\"48781312\"] \n  9 -> 10 [size =\"48781312\"]\n  10 [size=\"23209984\", alpha=\"0.19\", expect_size=\"11604992\"] \n  10 -> 11 [size =\"11604992\"]\n  11 [size=\"39006208\", alpha=\"0.08\", expect_size=\"19503104\"] \n  11 -> 12 [size =\"19503104\"]\n  12 [size=\"21710848\", alpha=\"0.12\", expect_size=\"10855424\"] \n  12 -> 13 [size =\"10855424\"]\n  13 [size=\"85716992\", alpha=\"0.01\", expect_size=\"42858496\"] \n  13 -> 14 [size =\"42858496\"]\n  14 [size=\"24719360\", alpha=\"0.00\", expect_size=\"12359680\"] \n  14 -> 15 [size =\"12359680\"]\n  15 [size=\"36055040\", alpha=\"0.11\", expect_size=\"18027520\"] \n  15 -> 16 [size =\"18027520\"]\n  16 [size=\"31080448\", alpha=\"0.19\", expect_size=\"15540224\"] \n  16 -> 17 [size =\"15540224\"]\n  17 [size=\"22292480\", alpha=\"0.14\", expect_size=\"11146240\"] \n  17 -> 18 [size =\"11146240\"]\n  18 [size=\"47400960\", alpha=\"0.03\", expect_size=\"23700480\"] \n  18 -> 19 [size =\"23700480\"]\n  19 [size=\"104380416\", alpha=\"0.12\", expect_size=\"52190208\"] \n  19 -> 20 [size =\"52190208\"]\n  20 [size=\"47327232\", alpha=\"0.01\", expect_size=\"23663616\"] \n  20 -> 21 [size =\"23663616\"]\n  21 [size=\"43460608\", alpha=\"0.10\", expect_size=\"21730304\"] \n  21 -> 22 [size =\"21730304\"]\n  22 [size=\"78944256\", alpha=\"0.16\", expect_size=\"39472128\"] \n  22 -> 23 [size =\"39472128\"]\n  23 [size=\"42377216\", alpha=\"0.13\", expect_size=\"21188608\"] \n  23 -> 24 [size =\"21188608\"]\n  24 [size=\"49311744\", alpha=\"0.10\", expect_size=\"24655872\"] \n  24 -> 25 [size =\"24655872\"]\n  25 [size=\"50771968\", alpha=\"0.10\", expect_size=\"25385984\"] \n  25 -> 26 [size =\"25385984\"]\n  26 [size=\"104245248\", alpha=\"0.17\", expect_size=\"52122624\"] \n  26 -> 27 [size =\"52122624\"]\n  27 [size=\"100966400\", alpha=\"0.03\", expect_size=\"50483200\"] \n  27 -> 28 [size =\"50483200\"]\n  28 [size=\"72495104\", alpha=\"0.09\", expect_size=\"36247552\"] \n  28 -> 29 [size =\"36247552\"]\n  29 [size=\"87003136\", alpha=\"0.14\", expect_size=\"43501568\"] \n  29 -> 30 [size =\"43501568\"]\n  30 [size=\"51367936\", alpha=\"0.01\", expect_size=\"25683968\"] \n  30 -> 31 [size =\"25683968\"]\n  31 [size=\"54288384\", alpha=\"0.14\", expect_size=\"27144192\"] \n  31 -> 32 [size =\"27144192\"]\n  32 [size=\"100089856\", alpha=\"0.10\", expect_size=\"50044928\"] \n  32 -> 33 [size =\"50044928\"]\n  33 [size=\"80226304\", alpha=\"0.02\", expect_size=\"40113152\"] \n  33 -> 34 [size =\"40113152\"]\n  34 [size=\"45721600\", alpha=\"0.17\", expect_size=\"22860800\"] \n  34 -> 35 [size =\"22860800\"]\n  35 [size=\"94423040\", alpha=\"0.17\", expect_size=\"47211520\"] \n  35 -> 36 [size =\"47211520\"]\n  36 [size=\"46675968\", alpha=\"0.02\", expect_size=\"23337984\"] \n  36 -> 37 [size =\"23337984\"]\n  37 [size=\"30912512\", alpha=\"0.09\", expect_size=\"15456256\"] \n  37 -> 38 [size =\"15456256\"]\n  38 [size=\"43200512\", alpha=\"0.04\", expect_size=\"21600256\"] \n  38 -> 39 [size =\"21600256\"]\n  39 [size=\"85035008\", alpha=\"0.18\", expect_size=\"42517504\"] \n  39 -> 40 [size =\"42517504\"]\n  40 [size=\"54749184\", alpha=\"0.01\", expect_size=\"27374592\"] \n  40 -> 41 [size =\"27374592\"]\n  41 [size=\"59443200\", alpha=\"0.11\", expect_size=\"29721600\"] \n  41 -> 42 [size =\"29721600\"]\n  42 [size=\"33265664\", alpha=\"0.15\", expect_size=\"16632832\"] \n  42 -> 43 [size =\"16632832\"]\n  43 [size=\"81813504\", alpha=\"0.06\", expect_size=\"40906752\"] \n  43 -> 44 [size =\"40906752\"]\n  44 [size=\"91578368\", alpha=\"0.05\", expect_size=\"45789184\"] \n  44 -> 45 [size =\"45789184\"]\n  45 [size=\"76789760\", alpha=\"0.12\", expect_size=\"38394880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88922112\", alpha=\"0.14\", expect_size=\"44461056\"] \n  1 -> 21 [size =\"44461056\"]\n  1 -> 25 [size =\"44461056\"]\n  2 [size=\"52291584\", alpha=\"0.13\", expect_size=\"26145792\"] \n  2 -> 15 [size =\"26145792\"]\n  2 -> 21 [size =\"26145792\"]\n  2 -> 23 [size =\"26145792\"]\n  2 -> 24 [size =\"26145792\"]\n  2 -> 25 [size =\"26145792\"]\n  3 [size=\"88666112\", alpha=\"0.02\", expect_size=\"44333056\"] \n  3 -> 15 [size =\"44333056\"]\n  3 -> 17 [size =\"44333056\"]\n  3 -> 21 [size =\"44333056\"]\n  3 -> 24 [size =\"44333056\"]\n  4 [size=\"16513024\", alpha=\"0.16\", expect_size=\"8256512\"] \n  4 -> 14 [size =\"8256512\"]\n  4 -> 15 [size =\"8256512\"]\n  4 -> 17 [size =\"8256512\"]\n  4 -> 23 [size =\"8256512\"]\n  4 -> 25 [size =\"8256512\"]\n  5 [size=\"12238848\", alpha=\"0.04\", expect_size=\"6119424\"] \n  5 -> 18 [size =\"6119424\"]\n  5 -> 21 [size =\"6119424\"]\n  5 -> 22 [size =\"6119424\"]\n  5 -> 26 [size =\"6119424\"]\n  6 [size=\"28645376\", alpha=\"0.17\", expect_size=\"14322688\"] \n  6 -> 22 [size =\"14322688\"]\n  6 -> 25 [size =\"14322688\"]\n  6 -> 26 [size =\"14322688\"]\n  7 [size=\"18946048\", alpha=\"0.19\", expect_size=\"9473024\"] \n  7 -> 15 [size =\"9473024\"]\n  7 -> 26 [size =\"9473024\"]\n  8 [size=\"79884288\", alpha=\"0.10\", expect_size=\"39942144\"] \n  8 -> 14 [size =\"39942144\"]\n  8 -> 15 [size =\"39942144\"]\n  8 -> 18 [size =\"39942144\"]\n  8 -> 20 [size =\"39942144\"]\n  8 -> 24 [size =\"39942144\"]\n  9 [size=\"59983872\", alpha=\"0.12\", expect_size=\"29991936\"] \n  9 -> 15 [size =\"29991936\"]\n  9 -> 16 [size =\"29991936\"]\n  9 -> 17 [size =\"29991936\"]\n  9 -> 18 [size =\"29991936\"]\n  9 -> 24 [size =\"29991936\"]\n  9 -> 26 [size =\"29991936\"]\n  10 [size=\"93153280\", alpha=\"0.04\", expect_size=\"46576640\"] \n  10 -> 17 [size =\"46576640\"]\n  10 -> 18 [size =\"46576640\"]\n  10 -> 21 [size =\"46576640\"]\n  11 [size=\"49983488\", alpha=\"0.00\", expect_size=\"24991744\"] \n  11 -> 18 [size =\"24991744\"]\n  11 -> 18 [size =\"24991744\"]\n  11 -> 19 [size =\"24991744\"]\n  11 -> 21 [size =\"24991744\"]\n  11 -> 23 [size =\"24991744\"]\n  11 -> 26 [size =\"24991744\"]\n  12 [size=\"22040576\", alpha=\"0.19\", expect_size=\"11020288\"] \n  12 -> 14 [size =\"11020288\"]\n  12 -> 21 [size =\"11020288\"]\n  12 -> 25 [size =\"11020288\"]\n  12 -> 26 [size =\"11020288\"]\n  13 [size=\"81231872\", alpha=\"0.14\", expect_size=\"40615936\"] \n  13 -> 15 [size =\"40615936\"]\n  13 -> 17 [size =\"40615936\"]\n  13 -> 18 [size =\"40615936\"]\n  13 -> 21 [size =\"40615936\"]\n  13 -> 24 [size =\"40615936\"]\n  13 -> 26 [size =\"40615936\"]\n  14 [size=\"88713216\", alpha=\"0.16\", expect_size=\"44356608\"] \n  14 -> 29 [size =\"44356608\"]\n  14 -> 31 [size =\"44356608\"]\n  14 -> 34 [size =\"44356608\"]\n  14 -> 37 [size =\"44356608\"]\n  14 -> 38 [size =\"44356608\"]\n  14 -> 39 [size =\"44356608\"]\n  14 -> 40 [size =\"44356608\"]\n  15 [size=\"67796992\", alpha=\"0.02\", expect_size=\"33898496\"] \n  15 -> 30 [size =\"33898496\"]\n  15 -> 31 [size =\"33898496\"]\n  15 -> 32 [size =\"33898496\"]\n  15 -> 37 [size =\"33898496\"]\n  15 -> 39 [size =\"33898496\"]\n  16 [size=\"87885824\", alpha=\"0.09\", expect_size=\"43942912\"] \n  16 -> 31 [size =\"43942912\"]\n  16 -> 36 [size =\"43942912\"]\n  16 -> 39 [size =\"43942912\"]\n  16 -> 40 [size =\"43942912\"]\n  17 [size=\"72900608\", alpha=\"0.04\", expect_size=\"36450304\"] \n  17 -> 40 [size =\"36450304\"]\n  18 [size=\"68202496\", alpha=\"0.04\", expect_size=\"34101248\"] \n  18 -> 28 [size =\"34101248\"]\n  18 -> 32 [size =\"34101248\"]\n  18 -> 34 [size =\"34101248\"]\n  18 -> 37 [size =\"34101248\"]\n  19 [size=\"22157312\", alpha=\"0.12\", expect_size=\"11078656\"] \n  19 -> 31 [size =\"11078656\"]\n  19 -> 33 [size =\"11078656\"]\n  19 -> 34 [size =\"11078656\"]\n  19 -> 35 [size =\"11078656\"]\n  19 -> 37 [size =\"11078656\"]\n  19 -> 39 [size =\"11078656\"]\n  19 -> 40 [size =\"11078656\"]\n  20 [size=\"78198784\", alpha=\"0.03\", expect_size=\"39099392\"] \n  20 -> 32 [size =\"39099392\"]\n  20 -> 34 [size =\"39099392\"]\n  20 -> 35 [size =\"39099392\"]\n  20 -> 35 [size =\"39099392\"]\n  20 -> 38 [size =\"39099392\"]\n  20 -> 40 [size =\"39099392\"]\n  21 [size=\"96006144\", alpha=\"0.11\", expect_size=\"48003072\"] \n  21 -> 29 [size =\"48003072\"]\n  21 -> 30 [size =\"48003072\"]\n  21 -> 35 [size =\"48003072\"]\n  21 -> 38 [size =\"48003072\"]\n  21 -> 40 [size =\"48003072\"]\n  22 [size=\"98045952\", alpha=\"0.08\", expect_size=\"49022976\"] \n  22 -> 28 [size =\"49022976\"]\n  22 -> 31 [size =\"49022976\"]\n  22 -> 33 [size =\"49022976\"]\n  22 -> 34 [size =\"49022976\"]\n  22 -> 37 [size =\"49022976\"]\n  23 [size=\"91176960\", alpha=\"0.02\", expect_size=\"45588480\"] \n  23 -> 27 [size =\"45588480\"]\n  23 -> 31 [size =\"45588480\"]\n  23 -> 35 [size =\"45588480\"]\n  23 -> 37 [size =\"45588480\"]\n  23 -> 38 [size =\"45588480\"]\n  24 [size=\"61198336\", alpha=\"0.16\", expect_size=\"30599168\"] \n  24 -> 34 [size =\"30599168\"]\n  24 -> 35 [size =\"30599168\"]\n  24 -> 37 [size =\"30599168\"]\n  24 -> 38 [size =\"30599168\"]\n  24 -> 38 [size =\"30599168\"]\n  25 [size=\"40151040\", alpha=\"0.11\", expect_size=\"20075520\"] \n  25 -> 30 [size =\"20075520\"]\n  25 -> 31 [size =\"20075520\"]\n  25 -> 33 [size =\"20075520\"]\n  25 -> 36 [size =\"20075520\"]\n  26 [size=\"51105792\", alpha=\"0.10\", expect_size=\"25552896\"] \n  26 -> 35 [size =\"25552896\"]\n  26 -> 38 [size =\"25552896\"]\n  27 [size=\"94472192\", alpha=\"0.11\", expect_size=\"47236096\"] \n  27 -> 41 [size =\"47236096\"]\n  28 [size=\"19662848\", alpha=\"0.06\", expect_size=\"9831424\"] \n  28 -> 42 [size =\"9831424\"]\n  28 -> 44 [size =\"9831424\"]\n  29 [size=\"38307840\", alpha=\"0.12\", expect_size=\"19153920\"] \n  29 -> 43 [size =\"19153920\"]\n  29 -> 44 [size =\"19153920\"]\n  30 [size=\"95227904\", alpha=\"0.16\", expect_size=\"47613952\"] \n  30 -> 43 [size =\"47613952\"]\n  30 -> 44 [size =\"47613952\"]\n  31 [size=\"16924672\", alpha=\"0.07\", expect_size=\"8462336\"] \n  31 -> 43 [size =\"8462336\"]\n  32 [size=\"70580224\", alpha=\"0.02\", expect_size=\"35290112\"] \n  32 -> 42 [size =\"35290112\"]\n  32 -> 43 [size =\"35290112\"]\n  32 -> 45 [size =\"35290112\"]\n  33 [size=\"14884864\", alpha=\"0.11\", expect_size=\"7442432\"] \n  33 -> 42 [size =\"7442432\"]\n  33 -> 43 [size =\"7442432\"]\n  34 [size=\"22396928\", alpha=\"0.17\", expect_size=\"11198464\"] \n  35 [size=\"99141632\", alpha=\"0.15\", expect_size=\"49570816\"] \n  36 [size=\"58130432\", alpha=\"0.09\", expect_size=\"29065216\"] \n  36 -> 41 [size =\"29065216\"]\n  37 [size=\"11898880\", alpha=\"0.16\", expect_size=\"5949440\"] \n  37 -> 44 [size =\"5949440\"]\n  38 [size=\"63279104\", alpha=\"0.16\", expect_size=\"31639552\"] \n  38 -> 43 [size =\"31639552\"]\n  39 [size=\"92928000\", alpha=\"0.19\", expect_size=\"46464000\"] \n  39 -> 43 [size =\"46464000\"]\n  40 [size=\"55973888\", alpha=\"0.15\", expect_size=\"27986944\"] \n  40 -> 43 [size =\"27986944\"]\n  41 [size=\"35084288\", alpha=\"0.10\", expect_size=\"17542144\"] \n  42 [size=\"69756928\", alpha=\"0.03\", expect_size=\"34878464\"] \n  43 [size=\"77180928\", alpha=\"0.14\", expect_size=\"38590464\"] \n  44 [size=\"33728512\", alpha=\"0.15\", expect_size=\"16864256\"] \n  45 [size=\"17627136\", alpha=\"0.02\", expect_size=\"8813568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36244480\", alpha=\"0.14\", expect_size=\"14497792\"] \n  1 -> 29 [size =\"14497792\"]\n  1 -> 30 [size =\"14497792\"]\n  1 -> 35 [size =\"14497792\"]\n  1 -> 39 [size =\"14497792\"]\n  1 -> 42 [size =\"14497792\"]\n  2 [size=\"44938240\", alpha=\"0.11\", expect_size=\"17975296\"] \n  2 -> 23 [size =\"17975296\"]\n  2 -> 25 [size =\"17975296\"]\n  2 -> 29 [size =\"17975296\"]\n  2 -> 32 [size =\"17975296\"]\n  2 -> 35 [size =\"17975296\"]\n  2 -> 44 [size =\"17975296\"]\n  3 [size=\"14420480\", alpha=\"0.07\", expect_size=\"5768192\"] \n  3 -> 29 [size =\"5768192\"]\n  3 -> 43 [size =\"5768192\"]\n  4 [size=\"80647680\", alpha=\"0.03\", expect_size=\"32259072\"] \n  4 -> 25 [size =\"32259072\"]\n  4 -> 37 [size =\"32259072\"]\n  4 -> 38 [size =\"32259072\"]\n  4 -> 39 [size =\"32259072\"]\n  4 -> 41 [size =\"32259072\"]\n  5 [size=\"80407040\", alpha=\"0.07\", expect_size=\"32162816\"] \n  5 -> 25 [size =\"32162816\"]\n  5 -> 26 [size =\"32162816\"]\n  5 -> 27 [size =\"32162816\"]\n  5 -> 29 [size =\"32162816\"]\n  5 -> 38 [size =\"32162816\"]\n  5 -> 43 [size =\"32162816\"]\n  6 [size=\"55464960\", alpha=\"0.00\", expect_size=\"22185984\"] \n  6 -> 25 [size =\"22185984\"]\n  6 -> 28 [size =\"22185984\"]\n  6 -> 29 [size =\"22185984\"]\n  6 -> 34 [size =\"22185984\"]\n  6 -> 36 [size =\"22185984\"]\n  6 -> 39 [size =\"22185984\"]\n  6 -> 43 [size =\"22185984\"]\n  6 -> 44 [size =\"22185984\"]\n  7 [size=\"69521920\", alpha=\"0.20\", expect_size=\"27808768\"] \n  7 -> 34 [size =\"27808768\"]\n  7 -> 38 [size =\"27808768\"]\n  7 -> 39 [size =\"27808768\"]\n  7 -> 43 [size =\"27808768\"]\n  8 [size=\"128527360\", alpha=\"0.04\", expect_size=\"51410944\"] \n  8 -> 26 [size =\"51410944\"]\n  8 -> 36 [size =\"51410944\"]\n  8 -> 38 [size =\"51410944\"]\n  8 -> 44 [size =\"51410944\"]\n  9 [size=\"59855360\", alpha=\"0.14\", expect_size=\"23942144\"] \n  9 -> 26 [size =\"23942144\"]\n  9 -> 28 [size =\"23942144\"]\n  9 -> 36 [size =\"23942144\"]\n  9 -> 38 [size =\"23942144\"]\n  9 -> 42 [size =\"23942144\"]\n  10 [size=\"74147840\", alpha=\"0.15\", expect_size=\"29659136\"] \n  10 -> 26 [size =\"29659136\"]\n  10 -> 32 [size =\"29659136\"]\n  10 -> 34 [size =\"29659136\"]\n  10 -> 44 [size =\"29659136\"]\n  11 [size=\"13391360\", alpha=\"0.09\", expect_size=\"5356544\"] \n  11 -> 25 [size =\"5356544\"]\n  11 -> 29 [size =\"5356544\"]\n  11 -> 32 [size =\"5356544\"]\n  11 -> 36 [size =\"5356544\"]\n  11 -> 37 [size =\"5356544\"]\n  11 -> 42 [size =\"5356544\"]\n  12 [size=\"95488000\", alpha=\"0.07\", expect_size=\"38195200\"] \n  12 -> 32 [size =\"38195200\"]\n  12 -> 39 [size =\"38195200\"]\n  12 -> 40 [size =\"38195200\"]\n  12 -> 42 [size =\"38195200\"]\n  13 [size=\"39938560\", alpha=\"0.13\", expect_size=\"15975424\"] \n  13 -> 25 [size =\"15975424\"]\n  13 -> 29 [size =\"15975424\"]\n  13 -> 33 [size =\"15975424\"]\n  13 -> 35 [size =\"15975424\"]\n  13 -> 38 [size =\"15975424\"]\n  13 -> 40 [size =\"15975424\"]\n  13 -> 45 [size =\"15975424\"]\n  14 [size=\"80355840\", alpha=\"0.00\", expect_size=\"32142336\"] \n  14 -> 25 [size =\"32142336\"]\n  14 -> 28 [size =\"32142336\"]\n  14 -> 29 [size =\"32142336\"]\n  14 -> 31 [size =\"32142336\"]\n  14 -> 36 [size =\"32142336\"]\n  14 -> 39 [size =\"32142336\"]\n  15 [size=\"99427840\", alpha=\"0.04\", expect_size=\"39771136\"] \n  15 -> 25 [size =\"39771136\"]\n  15 -> 27 [size =\"39771136\"]\n  15 -> 29 [size =\"39771136\"]\n  15 -> 34 [size =\"39771136\"]\n  15 -> 36 [size =\"39771136\"]\n  15 -> 44 [size =\"39771136\"]\n  16 [size=\"25679360\", alpha=\"0.06\", expect_size=\"10271744\"] \n  16 -> 28 [size =\"10271744\"]\n  16 -> 36 [size =\"10271744\"]\n  16 -> 39 [size =\"10271744\"]\n  16 -> 42 [size =\"10271744\"]\n  17 [size=\"26583040\", alpha=\"0.15\", expect_size=\"10633216\"] \n  17 -> 28 [size =\"10633216\"]\n  17 -> 33 [size =\"10633216\"]\n  17 -> 34 [size =\"10633216\"]\n  17 -> 35 [size =\"10633216\"]\n  17 -> 36 [size =\"10633216\"]\n  17 -> 39 [size =\"10633216\"]\n  17 -> 41 [size =\"10633216\"]\n  18 [size=\"24814080\", alpha=\"0.13\", expect_size=\"9925632\"] \n  18 -> 24 [size =\"9925632\"]\n  18 -> 25 [size =\"9925632\"]\n  18 -> 28 [size =\"9925632\"]\n  18 -> 29 [size =\"9925632\"]\n  18 -> 31 [size =\"9925632\"]\n  18 -> 38 [size =\"9925632\"]\n  19 [size=\"46218240\", alpha=\"0.00\", expect_size=\"18487296\"] \n  19 -> 24 [size =\"18487296\"]\n  19 -> 25 [size =\"18487296\"]\n  19 -> 27 [size =\"18487296\"]\n  19 -> 28 [size =\"18487296\"]\n  19 -> 37 [size =\"18487296\"]\n  19 -> 38 [size =\"18487296\"]\n  19 -> 41 [size =\"18487296\"]\n  20 [size=\"128115200\", alpha=\"0.06\", expect_size=\"51246080\"] \n  20 -> 25 [size =\"51246080\"]\n  20 -> 35 [size =\"51246080\"]\n  20 -> 36 [size =\"51246080\"]\n  20 -> 42 [size =\"51246080\"]\n  20 -> 43 [size =\"51246080\"]\n  20 -> 44 [size =\"51246080\"]\n  21 [size=\"99683840\", alpha=\"0.16\", expect_size=\"39873536\"] \n  21 -> 23 [size =\"39873536\"]\n  21 -> 36 [size =\"39873536\"]\n  21 -> 39 [size =\"39873536\"]\n  22 [size=\"33333760\", alpha=\"0.12\", expect_size=\"13333504\"] \n  22 -> 23 [size =\"13333504\"]\n  22 -> 26 [size =\"13333504\"]\n  22 -> 28 [size =\"13333504\"]\n  22 -> 29 [size =\"13333504\"]\n  22 -> 31 [size =\"13333504\"]\n  22 -> 33 [size =\"13333504\"]\n  22 -> 36 [size =\"13333504\"]\n  22 -> 39 [size =\"13333504\"]\n  22 -> 44 [size =\"13333504\"]\n  22 -> 45 [size =\"13333504\"]\n  23 [size=\"75604480\", alpha=\"0.07\", expect_size=\"30241792\"] \n  24 [size=\"34160640\", alpha=\"0.15\", expect_size=\"13664256\"] \n  25 [size=\"36879360\", alpha=\"0.13\", expect_size=\"14751744\"] \n  26 [size=\"61841920\", alpha=\"0.19\", expect_size=\"24736768\"] \n  27 [size=\"97246720\", alpha=\"0.14\", expect_size=\"38898688\"] \n  28 [size=\"66222080\", alpha=\"0.09\", expect_size=\"26488832\"] \n  29 [size=\"22704640\", alpha=\"0.11\", expect_size=\"9081856\"] \n  30 [size=\"24599040\", alpha=\"0.05\", expect_size=\"9839616\"] \n  31 [size=\"62387200\", alpha=\"0.18\", expect_size=\"24954880\"] \n  32 [size=\"41244160\", alpha=\"0.05\", expect_size=\"16497664\"] \n  33 [size=\"110968320\", alpha=\"0.16\", expect_size=\"44387328\"] \n  34 [size=\"36940800\", alpha=\"0.19\", expect_size=\"14776320\"] \n  35 [size=\"122636800\", alpha=\"0.17\", expect_size=\"49054720\"] \n  36 [size=\"81459200\", alpha=\"0.17\", expect_size=\"32583680\"] \n  37 [size=\"73730560\", alpha=\"0.19\", expect_size=\"29492224\"] \n  38 [size=\"37908480\", alpha=\"0.03\", expect_size=\"15163392\"] \n  39 [size=\"89408000\", alpha=\"0.13\", expect_size=\"35763200\"] \n  40 [size=\"39055360\", alpha=\"0.02\", expect_size=\"15622144\"] \n  41 [size=\"65850880\", alpha=\"0.06\", expect_size=\"26340352\"] \n  42 [size=\"52121600\", alpha=\"0.13\", expect_size=\"20848640\"] \n  43 [size=\"80245760\", alpha=\"0.11\", expect_size=\"32098304\"] \n  44 [size=\"59092480\", alpha=\"0.13\", expect_size=\"23636992\"] \n  45 [size=\"55912960\", alpha=\"0.18\", expect_size=\"22365184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49408000\", alpha=\"0.11\", expect_size=\"19763200\"] \n  1 -> 43 [size =\"19763200\"]\n  2 [size=\"38924800\", alpha=\"0.13\", expect_size=\"15569920\"] \n  2 -> 39 [size =\"15569920\"]\n  2 -> 44 [size =\"15569920\"]\n  3 [size=\"87513600\", alpha=\"0.17\", expect_size=\"35005440\"] \n  3 -> 39 [size =\"35005440\"]\n  3 -> 41 [size =\"35005440\"]\n  3 -> 43 [size =\"35005440\"]\n  4 [size=\"61056000\", alpha=\"0.15\", expect_size=\"24422400\"] \n  4 -> 41 [size =\"24422400\"]\n  4 -> 41 [size =\"24422400\"]\n  4 -> 43 [size =\"24422400\"]\n  4 -> 44 [size =\"24422400\"]\n  5 [size=\"79823360\", alpha=\"0.05\", expect_size=\"31929344\"] \n  5 -> 39 [size =\"31929344\"]\n  5 -> 41 [size =\"31929344\"]\n  5 -> 42 [size =\"31929344\"]\n  6 [size=\"119447040\", alpha=\"0.17\", expect_size=\"47778816\"] \n  6 -> 39 [size =\"47778816\"]\n  6 -> 40 [size =\"47778816\"]\n  6 -> 41 [size =\"47778816\"]\n  6 -> 42 [size =\"47778816\"]\n  7 [size=\"88506880\", alpha=\"0.08\", expect_size=\"35402752\"] \n  7 -> 41 [size =\"35402752\"]\n  7 -> 44 [size =\"35402752\"]\n  8 [size=\"100357120\", alpha=\"0.03\", expect_size=\"40142848\"] \n  8 -> 40 [size =\"40142848\"]\n  8 -> 41 [size =\"40142848\"]\n  9 [size=\"111966720\", alpha=\"0.18\", expect_size=\"44786688\"] \n  9 -> 41 [size =\"44786688\"]\n  10 [size=\"92280320\", alpha=\"0.14\", expect_size=\"36912128\"] \n  11 [size=\"129515520\", alpha=\"0.10\", expect_size=\"51806208\"] \n  11 -> 41 [size =\"51806208\"]\n  11 -> 43 [size =\"51806208\"]\n  12 [size=\"78717440\", alpha=\"0.13\", expect_size=\"31486976\"] \n  12 -> 42 [size =\"31486976\"]\n  12 -> 43 [size =\"31486976\"]\n  12 -> 44 [size =\"31486976\"]\n  13 [size=\"34554880\", alpha=\"0.03\", expect_size=\"13821952\"] \n  13 -> 43 [size =\"13821952\"]\n  13 -> 44 [size =\"13821952\"]\n  14 [size=\"19138560\", alpha=\"0.16\", expect_size=\"7655424\"] \n  14 -> 42 [size =\"7655424\"]\n  15 [size=\"110512640\", alpha=\"0.09\", expect_size=\"44205056\"] \n  15 -> 39 [size =\"44205056\"]\n  15 -> 41 [size =\"44205056\"]\n  16 [size=\"21964800\", alpha=\"0.19\", expect_size=\"8785920\"] \n  16 -> 40 [size =\"8785920\"]\n  17 [size=\"121653760\", alpha=\"0.10\", expect_size=\"48661504\"] \n  17 -> 39 [size =\"48661504\"]\n  17 -> 41 [size =\"48661504\"]\n  17 -> 45 [size =\"48661504\"]\n  18 [size=\"51740160\", alpha=\"0.18\", expect_size=\"20696064\"] \n  18 -> 40 [size =\"20696064\"]\n  18 -> 43 [size =\"20696064\"]\n  18 -> 44 [size =\"20696064\"]\n  19 [size=\"70656000\", alpha=\"0.14\", expect_size=\"28262400\"] \n  19 -> 39 [size =\"28262400\"]\n  19 -> 43 [size =\"28262400\"]\n  19 -> 44 [size =\"28262400\"]\n  20 [size=\"59328000\", alpha=\"0.15\", expect_size=\"23731200\"] \n  20 -> 39 [size =\"23731200\"]\n  20 -> 40 [size =\"23731200\"]\n  20 -> 43 [size =\"23731200\"]\n  20 -> 44 [size =\"23731200\"]\n  21 [size=\"22848000\", alpha=\"0.03\", expect_size=\"9139200\"] \n  21 -> 43 [size =\"9139200\"]\n  21 -> 44 [size =\"9139200\"]\n  22 [size=\"83709440\", alpha=\"0.15\", expect_size=\"33483776\"] \n  22 -> 39 [size =\"33483776\"]\n  22 -> 43 [size =\"33483776\"]\n  23 [size=\"44375040\", alpha=\"0.19\", expect_size=\"17750016\"] \n  23 -> 41 [size =\"17750016\"]\n  23 -> 44 [size =\"17750016\"]\n  24 [size=\"60375040\", alpha=\"0.12\", expect_size=\"24150016\"] \n  24 -> 44 [size =\"24150016\"]\n  25 [size=\"39616000\", alpha=\"0.16\", expect_size=\"15846400\"] \n  25 -> 39 [size =\"15846400\"]\n  25 -> 44 [size =\"15846400\"]\n  25 -> 45 [size =\"15846400\"]\n  26 [size=\"92177920\", alpha=\"0.18\", expect_size=\"36871168\"] \n  26 -> 39 [size =\"36871168\"]\n  26 -> 44 [size =\"36871168\"]\n  26 -> 45 [size =\"36871168\"]\n  27 [size=\"84761600\", alpha=\"0.13\", expect_size=\"33904640\"] \n  27 -> 41 [size =\"33904640\"]\n  27 -> 44 [size =\"33904640\"]\n  28 [size=\"26058240\", alpha=\"0.02\", expect_size=\"10423296\"] \n  29 [size=\"129820160\", alpha=\"0.09\", expect_size=\"51928064\"] \n  29 -> 43 [size =\"51928064\"]\n  30 [size=\"92549120\", alpha=\"0.08\", expect_size=\"37019648\"] \n  30 -> 41 [size =\"37019648\"]\n  30 -> 42 [size =\"37019648\"]\n  30 -> 43 [size =\"37019648\"]\n  30 -> 44 [size =\"37019648\"]\n  31 [size=\"63567360\", alpha=\"0.08\", expect_size=\"25426944\"] \n  31 -> 42 [size =\"25426944\"]\n  31 -> 43 [size =\"25426944\"]\n  32 [size=\"79180800\", alpha=\"0.19\", expect_size=\"31672320\"] \n  32 -> 42 [size =\"31672320\"]\n  32 -> 43 [size =\"31672320\"]\n  33 [size=\"47237120\", alpha=\"0.13\", expect_size=\"18894848\"] \n  33 -> 43 [size =\"18894848\"]\n  34 [size=\"42150400\", alpha=\"0.08\", expect_size=\"16860160\"] \n  34 -> 41 [size =\"16860160\"]\n  34 -> 42 [size =\"16860160\"]\n  34 -> 43 [size =\"16860160\"]\n  35 [size=\"111866880\", alpha=\"0.20\", expect_size=\"44746752\"] \n  35 -> 41 [size =\"44746752\"]\n  35 -> 42 [size =\"44746752\"]\n  35 -> 43 [size =\"44746752\"]\n  36 [size=\"87175680\", alpha=\"0.13\", expect_size=\"34870272\"] \n  36 -> 41 [size =\"34870272\"]\n  36 -> 43 [size =\"34870272\"]\n  37 [size=\"74419200\", alpha=\"0.05\", expect_size=\"29767680\"] \n  37 -> 41 [size =\"29767680\"]\n  38 [size=\"31034880\", alpha=\"0.03\", expect_size=\"12413952\"] \n  38 -> 41 [size =\"12413952\"]\n  38 -> 43 [size =\"12413952\"]\n  39 [size=\"44272640\", alpha=\"0.11\", expect_size=\"17709056\"] \n  40 [size=\"95027200\", alpha=\"0.07\", expect_size=\"38010880\"] \n  41 [size=\"26544640\", alpha=\"0.05\", expect_size=\"10617856\"] \n  42 [size=\"73198080\", alpha=\"0.14\", expect_size=\"29279232\"] \n  43 [size=\"64670720\", alpha=\"0.09\", expect_size=\"25868288\"] \n  44 [size=\"22410240\", alpha=\"0.12\", expect_size=\"8964096\"] \n  45 [size=\"70415360\", alpha=\"0.19\", expect_size=\"28166144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54531413\", alpha=\"0.18\", expect_size=\"16359424\"] \n  1 -> 7 [size =\"16359424\"]\n  1 -> 8 [size =\"16359424\"]\n  1 -> 10 [size =\"16359424\"]\n  1 -> 11 [size =\"16359424\"]\n  2 [size=\"52578987\", alpha=\"0.17\", expect_size=\"15773696\"] \n  2 -> 7 [size =\"15773696\"]\n  2 -> 9 [size =\"15773696\"]\n  3 [size=\"23866027\", alpha=\"0.12\", expect_size=\"7159808\"] \n  3 -> 7 [size =\"7159808\"]\n  3 -> 9 [size =\"7159808\"]\n  3 -> 12 [size =\"7159808\"]\n  4 [size=\"162283520\", alpha=\"0.13\", expect_size=\"48685056\"] \n  4 -> 7 [size =\"48685056\"]\n  4 -> 9 [size =\"48685056\"]\n  4 -> 10 [size =\"48685056\"]\n  4 -> 11 [size =\"48685056\"]\n  4 -> 12 [size =\"48685056\"]\n  5 [size=\"60450133\", alpha=\"0.06\", expect_size=\"18135040\"] \n  5 -> 7 [size =\"18135040\"]\n  5 -> 10 [size =\"18135040\"]\n  5 -> 11 [size =\"18135040\"]\n  5 -> 12 [size =\"18135040\"]\n  5 -> 12 [size =\"18135040\"]\n  6 [size=\"91347627\", alpha=\"0.12\", expect_size=\"27404288\"] \n  6 -> 7 [size =\"27404288\"]\n  6 -> 11 [size =\"27404288\"]\n  7 [size=\"134437547\", alpha=\"0.12\", expect_size=\"40331264\"] \n  7 -> 15 [size =\"40331264\"]\n  7 -> 18 [size =\"40331264\"]\n  8 [size=\"140608853\", alpha=\"0.02\", expect_size=\"42182656\"] \n  8 -> 14 [size =\"42182656\"]\n  8 -> 17 [size =\"42182656\"]\n  9 [size=\"83903147\", alpha=\"0.11\", expect_size=\"25170944\"] \n  9 -> 13 [size =\"25170944\"]\n  9 -> 14 [size =\"25170944\"]\n  9 -> 19 [size =\"25170944\"]\n  10 [size=\"152275627\", alpha=\"0.08\", expect_size=\"45682688\"] \n  10 -> 15 [size =\"45682688\"]\n  10 -> 18 [size =\"45682688\"]\n  10 -> 19 [size =\"45682688\"]\n  11 [size=\"28402347\", alpha=\"0.11\", expect_size=\"8520704\"] \n  11 -> 15 [size =\"8520704\"]\n  11 -> 19 [size =\"8520704\"]\n  12 [size=\"167509333\", alpha=\"0.00\", expect_size=\"50252800\"] \n  12 -> 13 [size =\"50252800\"]\n  12 -> 14 [size =\"50252800\"]\n  12 -> 15 [size =\"50252800\"]\n  12 -> 16 [size =\"50252800\"]\n  12 -> 17 [size =\"50252800\"]\n  12 -> 18 [size =\"50252800\"]\n  12 -> 19 [size =\"50252800\"]\n  13 [size=\"147616427\", alpha=\"0.11\", expect_size=\"44284928\"] \n  13 -> 20 [size =\"44284928\"]\n  13 -> 21 [size =\"44284928\"]\n  14 [size=\"85807787\", alpha=\"0.18\", expect_size=\"25742336\"] \n  14 -> 20 [size =\"25742336\"]\n  14 -> 21 [size =\"25742336\"]\n  14 -> 22 [size =\"25742336\"]\n  15 [size=\"32648533\", alpha=\"0.02\", expect_size=\"9794560\"] \n  15 -> 20 [size =\"9794560\"]\n  15 -> 22 [size =\"9794560\"]\n  16 [size=\"80571733\", alpha=\"0.08\", expect_size=\"24171520\"] \n  16 -> 24 [size =\"24171520\"]\n  17 [size=\"19036160\", alpha=\"0.02\", expect_size=\"5710848\"] \n  17 -> 20 [size =\"5710848\"]\n  17 -> 22 [size =\"5710848\"]\n  18 [size=\"109697707\", alpha=\"0.07\", expect_size=\"32909312\"] \n  18 -> 20 [size =\"32909312\"]\n  18 -> 21 [size =\"32909312\"]\n  18 -> 22 [size =\"32909312\"]\n  19 [size=\"121780907\", alpha=\"0.11\", expect_size=\"36534272\"] \n  19 -> 20 [size =\"36534272\"]\n  19 -> 21 [size =\"36534272\"]\n  19 -> 22 [size =\"36534272\"]\n  19 -> 23 [size =\"36534272\"]\n  20 [size=\"49162240\", alpha=\"0.08\", expect_size=\"14748672\"] \n  20 -> 26 [size =\"14748672\"]\n  20 -> 27 [size =\"14748672\"]\n  20 -> 29 [size =\"14748672\"]\n  21 [size=\"113042773\", alpha=\"0.09\", expect_size=\"33912832\"] \n  21 -> 25 [size =\"33912832\"]\n  21 -> 27 [size =\"33912832\"]\n  22 [size=\"40461653\", alpha=\"0.15\", expect_size=\"12138496\"] \n  22 -> 26 [size =\"12138496\"]\n  22 -> 27 [size =\"12138496\"]\n  22 -> 29 [size =\"12138496\"]\n  23 [size=\"43943253\", alpha=\"0.02\", expect_size=\"13182976\"] \n  23 -> 27 [size =\"13182976\"]\n  23 -> 29 [size =\"13182976\"]\n  23 -> 29 [size =\"13182976\"]\n  24 [size=\"131065173\", alpha=\"0.07\", expect_size=\"39319552\"] \n  24 -> 27 [size =\"39319552\"]\n  24 -> 28 [size =\"39319552\"]\n  25 [size=\"118620160\", alpha=\"0.18\", expect_size=\"35586048\"] \n  25 -> 30 [size =\"35586048\"]\n  25 -> 31 [size =\"35586048\"]\n  25 -> 33 [size =\"35586048\"]\n  25 -> 34 [size =\"35586048\"]\n  26 [size=\"131409920\", alpha=\"0.18\", expect_size=\"39422976\"] \n  26 -> 30 [size =\"39422976\"]\n  26 -> 33 [size =\"39422976\"]\n  26 -> 33 [size =\"39422976\"]\n  26 -> 34 [size =\"39422976\"]\n  27 [size=\"37297493\", alpha=\"0.13\", expect_size=\"11189248\"] \n  27 -> 30 [size =\"11189248\"]\n  27 -> 34 [size =\"11189248\"]\n  27 -> 35 [size =\"11189248\"]\n  28 [size=\"49530880\", alpha=\"0.04\", expect_size=\"14859264\"] \n  28 -> 30 [size =\"14859264\"]\n  28 -> 31 [size =\"14859264\"]\n  28 -> 32 [size =\"14859264\"]\n  28 -> 33 [size =\"14859264\"]\n  28 -> 34 [size =\"14859264\"]\n  29 [size=\"105666560\", alpha=\"0.03\", expect_size=\"31699968\"] \n  29 -> 30 [size =\"31699968\"]\n  29 -> 33 [size =\"31699968\"]\n  29 -> 34 [size =\"31699968\"]\n  30 [size=\"34017280\", alpha=\"0.19\", expect_size=\"10205184\"] \n  30 -> 37 [size =\"10205184\"]\n  30 -> 38 [size =\"10205184\"]\n  30 -> 39 [size =\"10205184\"]\n  31 [size=\"94924800\", alpha=\"0.17\", expect_size=\"28477440\"] \n  31 -> 36 [size =\"28477440\"]\n  31 -> 37 [size =\"28477440\"]\n  31 -> 38 [size =\"28477440\"]\n  31 -> 42 [size =\"28477440\"]\n  32 [size=\"168154453\", alpha=\"0.14\", expect_size=\"50446336\"] \n  32 -> 37 [size =\"50446336\"]\n  32 -> 39 [size =\"50446336\"]\n  32 -> 41 [size =\"50446336\"]\n  32 -> 42 [size =\"50446336\"]\n  33 [size=\"131525973\", alpha=\"0.07\", expect_size=\"39457792\"] \n  33 -> 36 [size =\"39457792\"]\n  33 -> 37 [size =\"39457792\"]\n  33 -> 39 [size =\"39457792\"]\n  33 -> 40 [size =\"39457792\"]\n  34 [size=\"148718933\", alpha=\"0.09\", expect_size=\"44615680\"] \n  34 -> 37 [size =\"44615680\"]\n  34 -> 38 [size =\"44615680\"]\n  34 -> 39 [size =\"44615680\"]\n  34 -> 40 [size =\"44615680\"]\n  35 [size=\"49971200\", alpha=\"0.13\", expect_size=\"14991360\"] \n  35 -> 37 [size =\"14991360\"]\n  35 -> 38 [size =\"14991360\"]\n  36 [size=\"35539627\", alpha=\"0.05\", expect_size=\"10661888\"] \n  36 -> 44 [size =\"10661888\"]\n  36 -> 45 [size =\"10661888\"]\n  37 [size=\"22016000\", alpha=\"0.17\", expect_size=\"6604800\"] \n  37 -> 44 [size =\"6604800\"]\n  37 -> 45 [size =\"6604800\"]\n  38 [size=\"126361600\", alpha=\"0.00\", expect_size=\"37908480\"] \n  38 -> 44 [size =\"37908480\"]\n  38 -> 45 [size =\"37908480\"]\n  39 [size=\"157139627\", alpha=\"0.17\", expect_size=\"47141888\"] \n  39 -> 43 [size =\"47141888\"]\n  39 -> 44 [size =\"47141888\"]\n  40 [size=\"23487147\", alpha=\"0.19\", expect_size=\"7046144\"] \n  40 -> 44 [size =\"7046144\"]\n  41 [size=\"17496747\", alpha=\"0.12\", expect_size=\"5249024\"] \n  41 -> 44 [size =\"5249024\"]\n  42 [size=\"150094507\", alpha=\"0.08\", expect_size=\"45028352\"] \n  42 -> 44 [size =\"45028352\"]\n  42 -> 45 [size =\"45028352\"]\n  43 [size=\"99457707\", alpha=\"0.08\", expect_size=\"29837312\"] \n  44 [size=\"153016320\", alpha=\"0.02\", expect_size=\"45904896\"] \n  45 [size=\"64532480\", alpha=\"0.08\", expect_size=\"19359744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144643413\", alpha=\"0.12\", expect_size=\"43393024\"] \n  1 -> 16 [size =\"43393024\"]\n  1 -> 18 [size =\"43393024\"]\n  1 -> 21 [size =\"43393024\"]\n  1 -> 25 [size =\"43393024\"]\n  2 [size=\"66150400\", alpha=\"0.06\", expect_size=\"19845120\"] \n  2 -> 17 [size =\"19845120\"]\n  2 -> 22 [size =\"19845120\"]\n  2 -> 24 [size =\"19845120\"]\n  2 -> 25 [size =\"19845120\"]\n  2 -> 28 [size =\"19845120\"]\n  3 [size=\"82244267\", alpha=\"0.16\", expect_size=\"24673280\"] \n  3 -> 16 [size =\"24673280\"]\n  3 -> 17 [size =\"24673280\"]\n  3 -> 22 [size =\"24673280\"]\n  3 -> 23 [size =\"24673280\"]\n  3 -> 24 [size =\"24673280\"]\n  3 -> 25 [size =\"24673280\"]\n  3 -> 26 [size =\"24673280\"]\n  3 -> 27 [size =\"24673280\"]\n  4 [size=\"172765867\", alpha=\"0.09\", expect_size=\"51829760\"] \n  4 -> 14 [size =\"51829760\"]\n  4 -> 17 [size =\"51829760\"]\n  4 -> 20 [size =\"51829760\"]\n  4 -> 21 [size =\"51829760\"]\n  4 -> 25 [size =\"51829760\"]\n  4 -> 26 [size =\"51829760\"]\n  5 [size=\"172032000\", alpha=\"0.05\", expect_size=\"51609600\"] \n  5 -> 17 [size =\"51609600\"]\n  5 -> 20 [size =\"51609600\"]\n  5 -> 21 [size =\"51609600\"]\n  5 -> 23 [size =\"51609600\"]\n  5 -> 26 [size =\"51609600\"]\n  5 -> 28 [size =\"51609600\"]\n  6 [size=\"17588907\", alpha=\"0.06\", expect_size=\"5276672\"] \n  6 -> 14 [size =\"5276672\"]\n  6 -> 16 [size =\"5276672\"]\n  6 -> 17 [size =\"5276672\"]\n  6 -> 19 [size =\"5276672\"]\n  6 -> 21 [size =\"5276672\"]\n  6 -> 23 [size =\"5276672\"]\n  7 [size=\"132058453\", alpha=\"0.06\", expect_size=\"39617536\"] \n  7 -> 16 [size =\"39617536\"]\n  7 -> 17 [size =\"39617536\"]\n  7 -> 17 [size =\"39617536\"]\n  7 -> 21 [size =\"39617536\"]\n  7 -> 24 [size =\"39617536\"]\n  7 -> 25 [size =\"39617536\"]\n  7 -> 26 [size =\"39617536\"]\n  8 [size=\"110172160\", alpha=\"0.12\", expect_size=\"33051648\"] \n  8 -> 14 [size =\"33051648\"]\n  8 -> 20 [size =\"33051648\"]\n  8 -> 21 [size =\"33051648\"]\n  8 -> 26 [size =\"33051648\"]\n  9 [size=\"62760960\", alpha=\"0.01\", expect_size=\"18828288\"] \n  9 -> 20 [size =\"18828288\"]\n  9 -> 20 [size =\"18828288\"]\n  9 -> 22 [size =\"18828288\"]\n  9 -> 23 [size =\"18828288\"]\n  9 -> 26 [size =\"18828288\"]\n  9 -> 28 [size =\"18828288\"]\n  10 [size=\"97757867\", alpha=\"0.11\", expect_size=\"29327360\"] \n  10 -> 14 [size =\"29327360\"]\n  10 -> 22 [size =\"29327360\"]\n  10 -> 23 [size =\"29327360\"]\n  10 -> 24 [size =\"29327360\"]\n  10 -> 28 [size =\"29327360\"]\n  11 [size=\"114746027\", alpha=\"0.13\", expect_size=\"34423808\"] \n  11 -> 14 [size =\"34423808\"]\n  11 -> 22 [size =\"34423808\"]\n  11 -> 24 [size =\"34423808\"]\n  12 [size=\"51421867\", alpha=\"0.10\", expect_size=\"15426560\"] \n  12 -> 22 [size =\"15426560\"]\n  12 -> 23 [size =\"15426560\"]\n  13 [size=\"100293973\", alpha=\"0.11\", expect_size=\"30088192\"] \n  13 -> 15 [size =\"30088192\"]\n  13 -> 20 [size =\"30088192\"]\n  13 -> 23 [size =\"30088192\"]\n  13 -> 24 [size =\"30088192\"]\n  13 -> 28 [size =\"30088192\"]\n  14 [size=\"68338347\", alpha=\"0.12\", expect_size=\"20501504\"] \n  14 -> 29 [size =\"20501504\"]\n  14 -> 31 [size =\"20501504\"]\n  14 -> 32 [size =\"20501504\"]\n  14 -> 37 [size =\"20501504\"]\n  14 -> 38 [size =\"20501504\"]\n  15 [size=\"141260800\", alpha=\"0.01\", expect_size=\"42378240\"] \n  15 -> 33 [size =\"42378240\"]\n  15 -> 35 [size =\"42378240\"]\n  16 [size=\"26190507\", alpha=\"0.20\", expect_size=\"7857152\"] \n  16 -> 32 [size =\"7857152\"]\n  16 -> 35 [size =\"7857152\"]\n  16 -> 37 [size =\"7857152\"]\n  16 -> 38 [size =\"7857152\"]\n  16 -> 42 [size =\"7857152\"]\n  17 [size=\"71277227\", alpha=\"0.05\", expect_size=\"21383168\"] \n  17 -> 30 [size =\"21383168\"]\n  17 -> 31 [size =\"21383168\"]\n  17 -> 32 [size =\"21383168\"]\n  17 -> 33 [size =\"21383168\"]\n  17 -> 36 [size =\"21383168\"]\n  17 -> 37 [size =\"21383168\"]\n  17 -> 39 [size =\"21383168\"]\n  17 -> 40 [size =\"21383168\"]\n  17 -> 42 [size =\"21383168\"]\n  18 [size=\"118548480\", alpha=\"0.08\", expect_size=\"35564544\"] \n  18 -> 29 [size =\"35564544\"]\n  18 -> 30 [size =\"35564544\"]\n  18 -> 31 [size =\"35564544\"]\n  18 -> 36 [size =\"35564544\"]\n  18 -> 37 [size =\"35564544\"]\n  18 -> 38 [size =\"35564544\"]\n  18 -> 42 [size =\"35564544\"]\n  19 [size=\"54367573\", alpha=\"0.07\", expect_size=\"16310272\"] \n  19 -> 30 [size =\"16310272\"]\n  19 -> 36 [size =\"16310272\"]\n  19 -> 37 [size =\"16310272\"]\n  19 -> 41 [size =\"16310272\"]\n  19 -> 42 [size =\"16310272\"]\n  20 [size=\"60723200\", alpha=\"0.05\", expect_size=\"18216960\"] \n  20 -> 38 [size =\"18216960\"]\n  21 [size=\"148695040\", alpha=\"0.19\", expect_size=\"44608512\"] \n  21 -> 32 [size =\"44608512\"]\n  21 -> 33 [size =\"44608512\"]\n  21 -> 36 [size =\"44608512\"]\n  21 -> 37 [size =\"44608512\"]\n  21 -> 39 [size =\"44608512\"]\n  22 [size=\"95563093\", alpha=\"0.20\", expect_size=\"28668928\"] \n  22 -> 32 [size =\"28668928\"]\n  22 -> 36 [size =\"28668928\"]\n  22 -> 40 [size =\"28668928\"]\n  22 -> 42 [size =\"28668928\"]\n  23 [size=\"19432107\", alpha=\"0.08\", expect_size=\"5829632\"] \n  23 -> 29 [size =\"5829632\"]\n  23 -> 32 [size =\"5829632\"]\n  24 [size=\"109308587\", alpha=\"0.17\", expect_size=\"32792576\"] \n  24 -> 33 [size =\"32792576\"]\n  24 -> 34 [size =\"32792576\"]\n  24 -> 35 [size =\"32792576\"]\n  24 -> 36 [size =\"32792576\"]\n  24 -> 39 [size =\"32792576\"]\n  24 -> 40 [size =\"32792576\"]\n  25 [size=\"47233707\", alpha=\"0.05\", expect_size=\"14170112\"] \n  25 -> 29 [size =\"14170112\"]\n  25 -> 31 [size =\"14170112\"]\n  25 -> 36 [size =\"14170112\"]\n  26 [size=\"57692160\", alpha=\"0.13\", expect_size=\"17307648\"] \n  26 -> 29 [size =\"17307648\"]\n  26 -> 33 [size =\"17307648\"]\n  26 -> 37 [size =\"17307648\"]\n  27 [size=\"57480533\", alpha=\"0.16\", expect_size=\"17244160\"] \n  27 -> 36 [size =\"17244160\"]\n  27 -> 37 [size =\"17244160\"]\n  27 -> 38 [size =\"17244160\"]\n  27 -> 40 [size =\"17244160\"]\n  28 [size=\"93259093\", alpha=\"0.10\", expect_size=\"27977728\"] \n  28 -> 30 [size =\"27977728\"]\n  28 -> 31 [size =\"27977728\"]\n  28 -> 32 [size =\"27977728\"]\n  28 -> 35 [size =\"27977728\"]\n  28 -> 38 [size =\"27977728\"]\n  28 -> 39 [size =\"27977728\"]\n  29 [size=\"157880320\", alpha=\"0.10\", expect_size=\"47364096\"] \n  29 -> 43 [size =\"47364096\"]\n  29 -> 45 [size =\"47364096\"]\n  30 [size=\"54937600\", alpha=\"0.01\", expect_size=\"16481280\"] \n  30 -> 43 [size =\"16481280\"]\n  31 [size=\"94354773\", alpha=\"0.04\", expect_size=\"28306432\"] \n  32 [size=\"88722773\", alpha=\"0.11\", expect_size=\"26616832\"] \n  32 -> 45 [size =\"26616832\"]\n  33 [size=\"86722560\", alpha=\"0.08\", expect_size=\"26016768\"] \n  33 -> 43 [size =\"26016768\"]\n  33 -> 44 [size =\"26016768\"]\n  34 [size=\"153118720\", alpha=\"0.13\", expect_size=\"45935616\"] \n  34 -> 45 [size =\"45935616\"]\n  35 [size=\"128631467\", alpha=\"0.12\", expect_size=\"38589440\"] \n  35 -> 45 [size =\"38589440\"]\n  36 [size=\"167823360\", alpha=\"0.13\", expect_size=\"50347008\"] \n  37 [size=\"113520640\", alpha=\"0.01\", expect_size=\"34056192\"] \n  38 [size=\"80302080\", alpha=\"0.02\", expect_size=\"24090624\"] \n  38 -> 43 [size =\"24090624\"]\n  39 [size=\"160870400\", alpha=\"0.07\", expect_size=\"48261120\"] \n  40 [size=\"85930667\", alpha=\"0.18\", expect_size=\"25779200\"] \n  40 -> 44 [size =\"25779200\"]\n  40 -> 45 [size =\"25779200\"]\n  41 [size=\"93061120\", alpha=\"0.06\", expect_size=\"27918336\"] \n  41 -> 44 [size =\"27918336\"]\n  41 -> 45 [size =\"27918336\"]\n  42 [size=\"122238293\", alpha=\"0.03\", expect_size=\"36671488\"] \n  42 -> 43 [size =\"36671488\"]\n  42 -> 45 [size =\"36671488\"]\n  43 [size=\"50131627\", alpha=\"0.01\", expect_size=\"15039488\"] \n  44 [size=\"116845227\", alpha=\"0.10\", expect_size=\"35053568\"] \n  45 [size=\"58664960\", alpha=\"0.03\", expect_size=\"17599488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128742400\", alpha=\"0.16\", expect_size=\"51496960\"] \n  2 [size=\"20856320\", alpha=\"0.02\", expect_size=\"8342528\"] \n  2 -> 5 [size =\"8342528\"]\n  3 [size=\"126090240\", alpha=\"0.01\", expect_size=\"50436096\"] \n  3 -> 4 [size =\"50436096\"]\n  4 [size=\"23367680\", alpha=\"0.19\", expect_size=\"9347072\"] \n  4 -> 7 [size =\"9347072\"]\n  5 [size=\"18216960\", alpha=\"0.18\", expect_size=\"7286784\"] \n  5 -> 6 [size =\"7286784\"]\n  5 -> 8 [size =\"7286784\"]\n  6 [size=\"52738560\", alpha=\"0.13\", expect_size=\"21095424\"] \n  6 -> 10 [size =\"21095424\"]\n  7 [size=\"73008640\", alpha=\"0.09\", expect_size=\"29203456\"] \n  7 -> 9 [size =\"29203456\"]\n  7 -> 11 [size =\"29203456\"]\n  8 [size=\"60469760\", alpha=\"0.18\", expect_size=\"24187904\"] \n  8 -> 9 [size =\"24187904\"]\n  8 -> 10 [size =\"24187904\"]\n  9 [size=\"51461120\", alpha=\"0.10\", expect_size=\"20584448\"] \n  9 -> 13 [size =\"20584448\"]\n  10 [size=\"120135680\", alpha=\"0.17\", expect_size=\"48054272\"] \n  11 [size=\"100705280\", alpha=\"0.00\", expect_size=\"40282112\"] \n  11 -> 12 [size =\"40282112\"]\n  11 -> 13 [size =\"40282112\"]\n  12 [size=\"78471680\", alpha=\"0.08\", expect_size=\"31388672\"] \n  12 -> 14 [size =\"31388672\"]\n  12 -> 16 [size =\"31388672\"]\n  13 [size=\"92446720\", alpha=\"0.03\", expect_size=\"36978688\"] \n  13 -> 15 [size =\"36978688\"]\n  14 [size=\"95861760\", alpha=\"0.12\", expect_size=\"38344704\"] \n  15 [size=\"89955840\", alpha=\"0.07\", expect_size=\"35982336\"] \n  15 -> 17 [size =\"35982336\"]\n  15 -> 18 [size =\"35982336\"]\n  15 -> 19 [size =\"35982336\"]\n  16 [size=\"76313600\", alpha=\"0.14\", expect_size=\"30525440\"] \n  17 [size=\"32286720\", alpha=\"0.12\", expect_size=\"12914688\"] \n  17 -> 20 [size =\"12914688\"]\n  17 -> 21 [size =\"12914688\"]\n  18 [size=\"84113920\", alpha=\"0.20\", expect_size=\"33645568\"] \n  18 -> 20 [size =\"33645568\"]\n  18 -> 21 [size =\"33645568\"]\n  18 -> 22 [size =\"33645568\"]\n  19 [size=\"73646080\", alpha=\"0.04\", expect_size=\"29458432\"] \n  19 -> 22 [size =\"29458432\"]\n  20 [size=\"14789120\", alpha=\"0.19\", expect_size=\"5915648\"] \n  21 [size=\"117731840\", alpha=\"0.14\", expect_size=\"47092736\"] \n  21 -> 23 [size =\"47092736\"]\n  21 -> 24 [size =\"47092736\"]\n  22 [size=\"119416320\", alpha=\"0.10\", expect_size=\"47766528\"] \n  23 [size=\"47923200\", alpha=\"0.05\", expect_size=\"19169280\"] \n  23 -> 26 [size =\"19169280\"]\n  24 [size=\"63918080\", alpha=\"0.02\", expect_size=\"25567232\"] \n  24 -> 25 [size =\"25567232\"]\n  25 [size=\"16427520\", alpha=\"0.19\", expect_size=\"6571008\"] \n  25 -> 28 [size =\"6571008\"]\n  26 [size=\"57144320\", alpha=\"0.04\", expect_size=\"22857728\"] \n  26 -> 27 [size =\"22857728\"]\n  26 -> 29 [size =\"22857728\"]\n  27 [size=\"23265280\", alpha=\"0.18\", expect_size=\"9306112\"] \n  28 [size=\"96409600\", alpha=\"0.01\", expect_size=\"38563840\"] \n  28 -> 32 [size =\"38563840\"]\n  29 [size=\"94786560\", alpha=\"0.10\", expect_size=\"37914624\"] \n  29 -> 30 [size =\"37914624\"]\n  29 -> 31 [size =\"37914624\"]\n  29 -> 32 [size =\"37914624\"]\n  30 [size=\"121313280\", alpha=\"0.17\", expect_size=\"48525312\"] \n  30 -> 33 [size =\"48525312\"]\n  31 [size=\"118082560\", alpha=\"0.19\", expect_size=\"47233024\"] \n  31 -> 34 [size =\"47233024\"]\n  31 -> 35 [size =\"47233024\"]\n  32 [size=\"82769920\", alpha=\"0.12\", expect_size=\"33107968\"] \n  32 -> 33 [size =\"33107968\"]\n  32 -> 34 [size =\"33107968\"]\n  32 -> 35 [size =\"33107968\"]\n  33 [size=\"23121920\", alpha=\"0.19\", expect_size=\"9248768\"] \n  33 -> 36 [size =\"9248768\"]\n  33 -> 38 [size =\"9248768\"]\n  34 [size=\"52121600\", alpha=\"0.19\", expect_size=\"20848640\"] \n  34 -> 38 [size =\"20848640\"]\n  35 [size=\"62069760\", alpha=\"0.13\", expect_size=\"24827904\"] \n  35 -> 36 [size =\"24827904\"]\n  35 -> 37 [size =\"24827904\"]\n  36 [size=\"58073600\", alpha=\"0.17\", expect_size=\"23229440\"] \n  36 -> 39 [size =\"23229440\"]\n  37 [size=\"79769600\", alpha=\"0.05\", expect_size=\"31907840\"] \n  37 -> 40 [size =\"31907840\"]\n  37 -> 41 [size =\"31907840\"]\n  38 [size=\"69091840\", alpha=\"0.05\", expect_size=\"27636736\"] \n  38 -> 39 [size =\"27636736\"]\n  38 -> 41 [size =\"27636736\"]\n  39 [size=\"73408000\", alpha=\"0.14\", expect_size=\"29363200\"] \n  39 -> 43 [size =\"29363200\"]\n  40 [size=\"13107200\", alpha=\"0.05\", expect_size=\"5242880\"] \n  40 -> 43 [size =\"5242880\"]\n  41 [size=\"113185280\", alpha=\"0.13\", expect_size=\"45274112\"] \n  41 -> 42 [size =\"45274112\"]\n  42 [size=\"107348480\", alpha=\"0.19\", expect_size=\"42939392\"] \n  42 -> 44 [size =\"42939392\"]\n  43 [size=\"60958720\", alpha=\"0.10\", expect_size=\"24383488\"] \n  43 -> 45 [size =\"24383488\"]\n  44 [size=\"53358080\", alpha=\"0.11\", expect_size=\"21343232\"] \n  45 [size=\"49336320\", alpha=\"0.12\", expect_size=\"19734528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52355072\", alpha=\"0.13\", expect_size=\"26177536\"] \n  1 -> 2 [size =\"26177536\"]\n  2 [size=\"100216832\", alpha=\"0.16\", expect_size=\"50108416\"] \n  2 -> 3 [size =\"50108416\"]\n  3 [size=\"72704000\", alpha=\"0.16\", expect_size=\"36352000\"] \n  3 -> 4 [size =\"36352000\"]\n  4 [size=\"44177408\", alpha=\"0.06\", expect_size=\"22088704\"] \n  4 -> 5 [size =\"22088704\"]\n  5 [size=\"91729920\", alpha=\"0.09\", expect_size=\"45864960\"] \n  5 -> 6 [size =\"45864960\"]\n  6 [size=\"13219840\", alpha=\"0.05\", expect_size=\"6609920\"] \n  6 -> 7 [size =\"6609920\"]\n  7 [size=\"40269824\", alpha=\"0.08\", expect_size=\"20134912\"] \n  7 -> 8 [size =\"20134912\"]\n  8 [size=\"23887872\", alpha=\"0.12\", expect_size=\"11943936\"] \n  8 -> 9 [size =\"11943936\"]\n  9 [size=\"53166080\", alpha=\"0.09\", expect_size=\"26583040\"] \n  9 -> 10 [size =\"26583040\"]\n  10 [size=\"29870080\", alpha=\"0.04\", expect_size=\"14935040\"] \n  10 -> 11 [size =\"14935040\"]\n  11 [size=\"24168448\", alpha=\"0.05\", expect_size=\"12084224\"] \n  11 -> 12 [size =\"12084224\"]\n  12 [size=\"84492288\", alpha=\"0.17\", expect_size=\"42246144\"] \n  12 -> 13 [size =\"42246144\"]\n  13 [size=\"63375360\", alpha=\"0.08\", expect_size=\"31687680\"] \n  13 -> 14 [size =\"31687680\"]\n  14 [size=\"44775424\", alpha=\"0.03\", expect_size=\"22387712\"] \n  14 -> 15 [size =\"22387712\"]\n  15 [size=\"72521728\", alpha=\"0.16\", expect_size=\"36260864\"] \n  15 -> 16 [size =\"36260864\"]\n  16 [size=\"19073024\", alpha=\"0.08\", expect_size=\"9536512\"] \n  16 -> 17 [size =\"9536512\"]\n  17 [size=\"40378368\", alpha=\"0.04\", expect_size=\"20189184\"] \n  17 -> 18 [size =\"20189184\"]\n  18 [size=\"78313472\", alpha=\"0.04\", expect_size=\"39156736\"] \n  18 -> 19 [size =\"39156736\"]\n  19 [size=\"41936896\", alpha=\"0.20\", expect_size=\"20968448\"] \n  19 -> 20 [size =\"20968448\"]\n  20 [size=\"86317056\", alpha=\"0.14\", expect_size=\"43158528\"] \n  20 -> 21 [size =\"43158528\"]\n  21 [size=\"12769280\", alpha=\"0.17\", expect_size=\"6384640\"] \n  21 -> 22 [size =\"6384640\"]\n  22 [size=\"37709824\", alpha=\"0.19\", expect_size=\"18854912\"] \n  22 -> 23 [size =\"18854912\"]\n  23 [size=\"22478848\", alpha=\"0.15\", expect_size=\"11239424\"] \n  23 -> 24 [size =\"11239424\"]\n  24 [size=\"60596224\", alpha=\"0.17\", expect_size=\"30298112\"] \n  24 -> 25 [size =\"30298112\"]\n  25 [size=\"76931072\", alpha=\"0.17\", expect_size=\"38465536\"] \n  25 -> 26 [size =\"38465536\"]\n  26 [size=\"57874432\", alpha=\"0.17\", expect_size=\"28937216\"] \n  26 -> 27 [size =\"28937216\"]\n  27 [size=\"96163840\", alpha=\"0.04\", expect_size=\"48081920\"] \n  27 -> 28 [size =\"48081920\"]\n  28 [size=\"22640640\", alpha=\"0.13\", expect_size=\"11320320\"] \n  28 -> 29 [size =\"11320320\"]\n  29 [size=\"43814912\", alpha=\"0.12\", expect_size=\"21907456\"] \n  29 -> 30 [size =\"21907456\"]\n  30 [size=\"42418176\", alpha=\"0.14\", expect_size=\"21209088\"] \n  30 -> 31 [size =\"21209088\"]\n  31 [size=\"13981696\", alpha=\"0.20\", expect_size=\"6990848\"] \n  31 -> 32 [size =\"6990848\"]\n  32 [size=\"94748672\", alpha=\"0.01\", expect_size=\"47374336\"] \n  32 -> 33 [size =\"47374336\"]\n  33 [size=\"91332608\", alpha=\"0.13\", expect_size=\"45666304\"] \n  33 -> 34 [size =\"45666304\"]\n  34 [size=\"65957888\", alpha=\"0.13\", expect_size=\"32978944\"] \n  34 -> 35 [size =\"32978944\"]\n  35 [size=\"52314112\", alpha=\"0.06\", expect_size=\"26157056\"] \n  35 -> 36 [size =\"26157056\"]\n  36 [size=\"37279744\", alpha=\"0.00\", expect_size=\"18639872\"] \n  36 -> 37 [size =\"18639872\"]\n  37 [size=\"23582720\", alpha=\"0.01\", expect_size=\"11791360\"] \n  37 -> 38 [size =\"11791360\"]\n  38 [size=\"41013248\", alpha=\"0.17\", expect_size=\"20506624\"] \n  38 -> 39 [size =\"20506624\"]\n  39 [size=\"102973440\", alpha=\"0.19\", expect_size=\"51486720\"] \n  39 -> 40 [size =\"51486720\"]\n  40 [size=\"63399936\", alpha=\"0.17\", expect_size=\"31699968\"] \n  40 -> 41 [size =\"31699968\"]\n  41 [size=\"36050944\", alpha=\"0.15\", expect_size=\"18025472\"] \n  41 -> 42 [size =\"18025472\"]\n  42 [size=\"34611200\", alpha=\"0.20\", expect_size=\"17305600\"] \n  42 -> 43 [size =\"17305600\"]\n  43 [size=\"38715392\", alpha=\"0.06\", expect_size=\"19357696\"] \n  43 -> 44 [size =\"19357696\"]\n  44 [size=\"101255168\", alpha=\"0.04\", expect_size=\"50627584\"] \n  44 -> 45 [size =\"50627584\"]\n  45 [size=\"67778560\", alpha=\"0.15\", expect_size=\"33889280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45583360\", alpha=\"0.03\", expect_size=\"18233344\"] \n  1 -> 31 [size =\"18233344\"]\n  1 -> 34 [size =\"18233344\"]\n  1 -> 38 [size =\"18233344\"]\n  1 -> 42 [size =\"18233344\"]\n  1 -> 43 [size =\"18233344\"]\n  2 [size=\"88581120\", alpha=\"0.07\", expect_size=\"35432448\"] \n  2 -> 33 [size =\"35432448\"]\n  2 -> 34 [size =\"35432448\"]\n  2 -> 35 [size =\"35432448\"]\n  2 -> 38 [size =\"35432448\"]\n  2 -> 41 [size =\"35432448\"]\n  2 -> 42 [size =\"35432448\"]\n  2 -> 43 [size =\"35432448\"]\n  3 [size=\"22648320\", alpha=\"0.10\", expect_size=\"9059328\"] \n  3 -> 32 [size =\"9059328\"]\n  3 -> 33 [size =\"9059328\"]\n  3 -> 34 [size =\"9059328\"]\n  3 -> 35 [size =\"9059328\"]\n  3 -> 41 [size =\"9059328\"]\n  3 -> 42 [size =\"9059328\"]\n  3 -> 43 [size =\"9059328\"]\n  4 [size=\"126382080\", alpha=\"0.14\", expect_size=\"50552832\"] \n  4 -> 37 [size =\"50552832\"]\n  4 -> 41 [size =\"50552832\"]\n  4 -> 42 [size =\"50552832\"]\n  4 -> 43 [size =\"50552832\"]\n  5 [size=\"118466560\", alpha=\"0.10\", expect_size=\"47386624\"] \n  5 -> 35 [size =\"47386624\"]\n  5 -> 37 [size =\"47386624\"]\n  5 -> 40 [size =\"47386624\"]\n  5 -> 42 [size =\"47386624\"]\n  5 -> 43 [size =\"47386624\"]\n  6 [size=\"130247680\", alpha=\"0.19\", expect_size=\"52099072\"] \n  6 -> 32 [size =\"52099072\"]\n  6 -> 35 [size =\"52099072\"]\n  6 -> 37 [size =\"52099072\"]\n  6 -> 39 [size =\"52099072\"]\n  6 -> 42 [size =\"52099072\"]\n  6 -> 43 [size =\"52099072\"]\n  7 [size=\"72225280\", alpha=\"0.03\", expect_size=\"28890112\"] \n  7 -> 34 [size =\"28890112\"]\n  7 -> 35 [size =\"28890112\"]\n  7 -> 40 [size =\"28890112\"]\n  7 -> 41 [size =\"28890112\"]\n  7 -> 42 [size =\"28890112\"]\n  7 -> 43 [size =\"28890112\"]\n  8 [size=\"18360320\", alpha=\"0.15\", expect_size=\"7344128\"] \n  8 -> 33 [size =\"7344128\"]\n  8 -> 35 [size =\"7344128\"]\n  8 -> 40 [size =\"7344128\"]\n  8 -> 41 [size =\"7344128\"]\n  8 -> 42 [size =\"7344128\"]\n  8 -> 43 [size =\"7344128\"]\n  9 [size=\"108444160\", alpha=\"0.04\", expect_size=\"43377664\"] \n  9 -> 33 [size =\"43377664\"]\n  9 -> 34 [size =\"43377664\"]\n  9 -> 35 [size =\"43377664\"]\n  9 -> 38 [size =\"43377664\"]\n  9 -> 40 [size =\"43377664\"]\n  9 -> 41 [size =\"43377664\"]\n  9 -> 43 [size =\"43377664\"]\n  10 [size=\"106439680\", alpha=\"0.16\", expect_size=\"42575872\"] \n  10 -> 31 [size =\"42575872\"]\n  10 -> 33 [size =\"42575872\"]\n  10 -> 34 [size =\"42575872\"]\n  10 -> 39 [size =\"42575872\"]\n  10 -> 40 [size =\"42575872\"]\n  10 -> 41 [size =\"42575872\"]\n  10 -> 42 [size =\"42575872\"]\n  10 -> 43 [size =\"42575872\"]\n  10 -> 45 [size =\"42575872\"]\n  11 [size=\"43932160\", alpha=\"0.09\", expect_size=\"17572864\"] \n  11 -> 33 [size =\"17572864\"]\n  11 -> 33 [size =\"17572864\"]\n  11 -> 39 [size =\"17572864\"]\n  11 -> 40 [size =\"17572864\"]\n  11 -> 40 [size =\"17572864\"]\n  11 -> 43 [size =\"17572864\"]\n  12 [size=\"62799360\", alpha=\"0.15\", expect_size=\"25119744\"] \n  12 -> 33 [size =\"25119744\"]\n  12 -> 35 [size =\"25119744\"]\n  12 -> 37 [size =\"25119744\"]\n  12 -> 40 [size =\"25119744\"]\n  12 -> 41 [size =\"25119744\"]\n  12 -> 42 [size =\"25119744\"]\n  12 -> 43 [size =\"25119744\"]\n  13 [size=\"104376320\", alpha=\"0.15\", expect_size=\"41750528\"] \n  13 -> 35 [size =\"41750528\"]\n  13 -> 40 [size =\"41750528\"]\n  13 -> 42 [size =\"41750528\"]\n  13 -> 43 [size =\"41750528\"]\n  14 [size=\"47203840\", alpha=\"0.13\", expect_size=\"18881536\"] \n  14 -> 34 [size =\"18881536\"]\n  14 -> 37 [size =\"18881536\"]\n  14 -> 40 [size =\"18881536\"]\n  14 -> 42 [size =\"18881536\"]\n  14 -> 43 [size =\"18881536\"]\n  15 [size=\"14174720\", alpha=\"0.15\", expect_size=\"5669888\"] \n  15 -> 34 [size =\"5669888\"]\n  15 -> 35 [size =\"5669888\"]\n  15 -> 36 [size =\"5669888\"]\n  15 -> 37 [size =\"5669888\"]\n  15 -> 40 [size =\"5669888\"]\n  15 -> 41 [size =\"5669888\"]\n  15 -> 42 [size =\"5669888\"]\n  15 -> 43 [size =\"5669888\"]\n  16 [size=\"71191040\", alpha=\"0.00\", expect_size=\"28476416\"] \n  16 -> 33 [size =\"28476416\"]\n  16 -> 34 [size =\"28476416\"]\n  16 -> 40 [size =\"28476416\"]\n  16 -> 41 [size =\"28476416\"]\n  16 -> 42 [size =\"28476416\"]\n  16 -> 43 [size =\"28476416\"]\n  17 [size=\"64378880\", alpha=\"0.13\", expect_size=\"25751552\"] \n  17 -> 33 [size =\"25751552\"]\n  17 -> 34 [size =\"25751552\"]\n  17 -> 40 [size =\"25751552\"]\n  17 -> 41 [size =\"25751552\"]\n  17 -> 42 [size =\"25751552\"]\n  18 [size=\"82869760\", alpha=\"0.08\", expect_size=\"33147904\"] \n  18 -> 40 [size =\"33147904\"]\n  18 -> 41 [size =\"33147904\"]\n  18 -> 42 [size =\"33147904\"]\n  18 -> 43 [size =\"33147904\"]\n  19 [size=\"52728320\", alpha=\"0.12\", expect_size=\"21091328\"] \n  19 -> 32 [size =\"21091328\"]\n  19 -> 33 [size =\"21091328\"]\n  19 -> 35 [size =\"21091328\"]\n  19 -> 37 [size =\"21091328\"]\n  19 -> 38 [size =\"21091328\"]\n  19 -> 40 [size =\"21091328\"]\n  19 -> 41 [size =\"21091328\"]\n  19 -> 42 [size =\"21091328\"]\n  20 [size=\"76328960\", alpha=\"0.13\", expect_size=\"30531584\"] \n  20 -> 32 [size =\"30531584\"]\n  20 -> 33 [size =\"30531584\"]\n  20 -> 34 [size =\"30531584\"]\n  20 -> 35 [size =\"30531584\"]\n  20 -> 37 [size =\"30531584\"]\n  20 -> 38 [size =\"30531584\"]\n  20 -> 40 [size =\"30531584\"]\n  20 -> 41 [size =\"30531584\"]\n  20 -> 42 [size =\"30531584\"]\n  21 [size=\"54766080\", alpha=\"0.20\", expect_size=\"21906432\"] \n  21 -> 32 [size =\"21906432\"]\n  21 -> 33 [size =\"21906432\"]\n  21 -> 34 [size =\"21906432\"]\n  21 -> 35 [size =\"21906432\"]\n  21 -> 39 [size =\"21906432\"]\n  21 -> 40 [size =\"21906432\"]\n  21 -> 41 [size =\"21906432\"]\n  21 -> 41 [size =\"21906432\"]\n  21 -> 42 [size =\"21906432\"]\n  22 [size=\"110755840\", alpha=\"0.20\", expect_size=\"44302336\"] \n  22 -> 32 [size =\"44302336\"]\n  22 -> 33 [size =\"44302336\"]\n  22 -> 34 [size =\"44302336\"]\n  22 -> 40 [size =\"44302336\"]\n  22 -> 41 [size =\"44302336\"]\n  22 -> 42 [size =\"44302336\"]\n  22 -> 44 [size =\"44302336\"]\n  23 [size=\"78958080\", alpha=\"0.01\", expect_size=\"31583232\"] \n  23 -> 32 [size =\"31583232\"]\n  23 -> 33 [size =\"31583232\"]\n  23 -> 40 [size =\"31583232\"]\n  23 -> 42 [size =\"31583232\"]\n  24 [size=\"47183360\", alpha=\"0.02\", expect_size=\"18873344\"] \n  24 -> 32 [size =\"18873344\"]\n  24 -> 33 [size =\"18873344\"]\n  24 -> 34 [size =\"18873344\"]\n  24 -> 40 [size =\"18873344\"]\n  24 -> 42 [size =\"18873344\"]\n  24 -> 43 [size =\"18873344\"]\n  25 [size=\"126044160\", alpha=\"0.00\", expect_size=\"50417664\"] \n  25 -> 33 [size =\"50417664\"]\n  25 -> 35 [size =\"50417664\"]\n  25 -> 40 [size =\"50417664\"]\n  25 -> 42 [size =\"50417664\"]\n  25 -> 42 [size =\"50417664\"]\n  25 -> 43 [size =\"50417664\"]\n  26 [size=\"94407680\", alpha=\"0.18\", expect_size=\"37763072\"] \n  26 -> 37 [size =\"37763072\"]\n  26 -> 39 [size =\"37763072\"]\n  26 -> 41 [size =\"37763072\"]\n  26 -> 43 [size =\"37763072\"]\n  27 [size=\"95713280\", alpha=\"0.07\", expect_size=\"38285312\"] \n  27 -> 39 [size =\"38285312\"]\n  27 -> 43 [size =\"38285312\"]\n  28 [size=\"56002560\", alpha=\"0.16\", expect_size=\"22401024\"] \n  28 -> 32 [size =\"22401024\"]\n  28 -> 33 [size =\"22401024\"]\n  28 -> 34 [size =\"22401024\"]\n  28 -> 39 [size =\"22401024\"]\n  28 -> 42 [size =\"22401024\"]\n  29 [size=\"100569600\", alpha=\"0.01\", expect_size=\"40227840\"] \n  29 -> 32 [size =\"40227840\"]\n  29 -> 35 [size =\"40227840\"]\n  29 -> 39 [size =\"40227840\"]\n  29 -> 42 [size =\"40227840\"]\n  30 [size=\"50880000\", alpha=\"0.02\", expect_size=\"20352000\"] \n  30 -> 32 [size =\"20352000\"]\n  30 -> 33 [size =\"20352000\"]\n  30 -> 43 [size =\"20352000\"]\n  31 [size=\"127592960\", alpha=\"0.09\", expect_size=\"51037184\"] \n  32 [size=\"127260160\", alpha=\"0.04\", expect_size=\"50904064\"] \n  33 [size=\"125352960\", alpha=\"0.14\", expect_size=\"50141184\"] \n  34 [size=\"13450240\", alpha=\"0.10\", expect_size=\"5380096\"] \n  35 [size=\"22791680\", alpha=\"0.06\", expect_size=\"9116672\"] \n  36 [size=\"22809600\", alpha=\"0.12\", expect_size=\"9123840\"] \n  37 [size=\"130641920\", alpha=\"0.07\", expect_size=\"52256768\"] \n  38 [size=\"51517440\", alpha=\"0.14\", expect_size=\"20606976\"] \n  39 [size=\"26621440\", alpha=\"0.07\", expect_size=\"10648576\"] \n  40 [size=\"33323520\", alpha=\"0.11\", expect_size=\"13329408\"] \n  41 [size=\"46993920\", alpha=\"0.02\", expect_size=\"18797568\"] \n  42 [size=\"98460160\", alpha=\"0.10\", expect_size=\"39384064\"] \n  43 [size=\"119447040\", alpha=\"0.09\", expect_size=\"47778816\"] \n  44 [size=\"83266560\", alpha=\"0.14\", expect_size=\"33306624\"] \n  45 [size=\"24015360\", alpha=\"0.17\", expect_size=\"9606144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103603200\", alpha=\"0.01\", expect_size=\"41441280\"] \n  1 -> 2 [size =\"41441280\"]\n  2 [size=\"98613760\", alpha=\"0.08\", expect_size=\"39445504\"] \n  2 -> 3 [size =\"39445504\"]\n  3 [size=\"78848000\", alpha=\"0.07\", expect_size=\"31539200\"] \n  3 -> 4 [size =\"31539200\"]\n  4 [size=\"111380480\", alpha=\"0.16\", expect_size=\"44552192\"] \n  4 -> 5 [size =\"44552192\"]\n  5 [size=\"17031680\", alpha=\"0.10\", expect_size=\"6812672\"] \n  5 -> 6 [size =\"6812672\"]\n  6 [size=\"77713920\", alpha=\"0.12\", expect_size=\"31085568\"] \n  6 -> 7 [size =\"31085568\"]\n  7 [size=\"116257280\", alpha=\"0.01\", expect_size=\"46502912\"] \n  7 -> 8 [size =\"46502912\"]\n  8 [size=\"71011840\", alpha=\"0.19\", expect_size=\"28404736\"] \n  8 -> 9 [size =\"28404736\"]\n  9 [size=\"103168000\", alpha=\"0.12\", expect_size=\"41267200\"] \n  9 -> 10 [size =\"41267200\"]\n  10 [size=\"74449920\", alpha=\"0.14\", expect_size=\"29779968\"] \n  10 -> 11 [size =\"29779968\"]\n  11 [size=\"25446400\", alpha=\"0.19\", expect_size=\"10178560\"] \n  11 -> 12 [size =\"10178560\"]\n  12 [size=\"32245760\", alpha=\"0.07\", expect_size=\"12898304\"] \n  12 -> 13 [size =\"12898304\"]\n  13 [size=\"77596160\", alpha=\"0.12\", expect_size=\"31038464\"] \n  13 -> 14 [size =\"31038464\"]\n  14 [size=\"119651840\", alpha=\"0.13\", expect_size=\"47860736\"] \n  14 -> 15 [size =\"47860736\"]\n  15 [size=\"98700800\", alpha=\"0.10\", expect_size=\"39480320\"] \n  15 -> 16 [size =\"39480320\"]\n  16 [size=\"41459200\", alpha=\"0.13\", expect_size=\"16583680\"] \n  16 -> 17 [size =\"16583680\"]\n  17 [size=\"109780480\", alpha=\"0.17\", expect_size=\"43912192\"] \n  17 -> 18 [size =\"43912192\"]\n  18 [size=\"115100160\", alpha=\"0.17\", expect_size=\"46040064\"] \n  18 -> 19 [size =\"46040064\"]\n  19 [size=\"107038720\", alpha=\"0.14\", expect_size=\"42815488\"] \n  19 -> 20 [size =\"42815488\"]\n  20 [size=\"59110400\", alpha=\"0.15\", expect_size=\"23644160\"] \n  20 -> 21 [size =\"23644160\"]\n  21 [size=\"21132800\", alpha=\"0.12\", expect_size=\"8453120\"] \n  21 -> 22 [size =\"8453120\"]\n  22 [size=\"16903680\", alpha=\"0.03\", expect_size=\"6761472\"] \n  22 -> 23 [size =\"6761472\"]\n  23 [size=\"57359360\", alpha=\"0.06\", expect_size=\"22943744\"] \n  23 -> 24 [size =\"22943744\"]\n  24 [size=\"130165760\", alpha=\"0.05\", expect_size=\"52066304\"] \n  24 -> 25 [size =\"52066304\"]\n  25 [size=\"86604800\", alpha=\"0.05\", expect_size=\"34641920\"] \n  25 -> 26 [size =\"34641920\"]\n  26 [size=\"29268480\", alpha=\"0.15\", expect_size=\"11707392\"] \n  26 -> 27 [size =\"11707392\"]\n  27 [size=\"106344960\", alpha=\"0.03\", expect_size=\"42537984\"] \n  27 -> 28 [size =\"42537984\"]\n  28 [size=\"85992960\", alpha=\"0.01\", expect_size=\"34397184\"] \n  28 -> 29 [size =\"34397184\"]\n  29 [size=\"66001920\", alpha=\"0.15\", expect_size=\"26400768\"] \n  29 -> 30 [size =\"26400768\"]\n  30 [size=\"29281280\", alpha=\"0.18\", expect_size=\"11712512\"] \n  30 -> 31 [size =\"11712512\"]\n  31 [size=\"119034880\", alpha=\"0.04\", expect_size=\"47613952\"] \n  31 -> 32 [size =\"47613952\"]\n  32 [size=\"71866880\", alpha=\"0.13\", expect_size=\"28746752\"] \n  32 -> 33 [size =\"28746752\"]\n  33 [size=\"91251200\", alpha=\"0.13\", expect_size=\"36500480\"] \n  33 -> 34 [size =\"36500480\"]\n  34 [size=\"124963840\", alpha=\"0.11\", expect_size=\"49985536\"] \n  34 -> 35 [size =\"49985536\"]\n  35 [size=\"35353600\", alpha=\"0.04\", expect_size=\"14141440\"] \n  35 -> 36 [size =\"14141440\"]\n  36 [size=\"62277120\", alpha=\"0.01\", expect_size=\"24910848\"] \n  36 -> 37 [size =\"24910848\"]\n  37 [size=\"34406400\", alpha=\"0.15\", expect_size=\"13762560\"] \n  37 -> 38 [size =\"13762560\"]\n  38 [size=\"54896640\", alpha=\"0.06\", expect_size=\"21958656\"] \n  38 -> 39 [size =\"21958656\"]\n  39 [size=\"63687680\", alpha=\"0.13\", expect_size=\"25475072\"] \n  39 -> 40 [size =\"25475072\"]\n  40 [size=\"32878080\", alpha=\"0.08\", expect_size=\"13151232\"] \n  40 -> 41 [size =\"13151232\"]\n  41 [size=\"23810560\", alpha=\"0.04\", expect_size=\"9524224\"] \n  41 -> 42 [size =\"9524224\"]\n  42 [size=\"48824320\", alpha=\"0.00\", expect_size=\"19529728\"] \n  42 -> 43 [size =\"19529728\"]\n  43 [size=\"127060480\", alpha=\"0.05\", expect_size=\"50824192\"] \n  43 -> 44 [size =\"50824192\"]\n  44 [size=\"87080960\", alpha=\"0.09\", expect_size=\"34832384\"] \n  44 -> 45 [size =\"34832384\"]\n  45 [size=\"35430400\", alpha=\"0.05\", expect_size=\"14172160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26273792\", alpha=\"0.01\", expect_size=\"13136896\"] \n  1 -> 2 [size =\"13136896\"]\n  2 [size=\"30232576\", alpha=\"0.11\", expect_size=\"15116288\"] \n  2 -> 3 [size =\"15116288\"]\n  3 [size=\"64270336\", alpha=\"0.19\", expect_size=\"32135168\"] \n  3 -> 4 [size =\"32135168\"]\n  4 [size=\"12261376\", alpha=\"0.18\", expect_size=\"6130688\"] \n  4 -> 5 [size =\"6130688\"]\n  5 [size=\"53219328\", alpha=\"0.15\", expect_size=\"26609664\"] \n  5 -> 6 [size =\"26609664\"]\n  6 [size=\"82307072\", alpha=\"0.19\", expect_size=\"41153536\"] \n  6 -> 7 [size =\"41153536\"]\n  7 [size=\"59195392\", alpha=\"0.04\", expect_size=\"29597696\"] \n  7 -> 8 [size =\"29597696\"]\n  8 [size=\"74799104\", alpha=\"0.13\", expect_size=\"37399552\"] \n  8 -> 9 [size =\"37399552\"]\n  9 [size=\"50444288\", alpha=\"0.19\", expect_size=\"25222144\"] \n  9 -> 10 [size =\"25222144\"]\n  10 [size=\"22777856\", alpha=\"0.19\", expect_size=\"11388928\"] \n  10 -> 11 [size =\"11388928\"]\n  11 [size=\"22796288\", alpha=\"0.04\", expect_size=\"11398144\"] \n  11 -> 12 [size =\"11398144\"]\n  12 [size=\"29112320\", alpha=\"0.06\", expect_size=\"14556160\"] \n  12 -> 13 [size =\"14556160\"]\n  13 [size=\"79308800\", alpha=\"0.11\", expect_size=\"39654400\"] \n  13 -> 14 [size =\"39654400\"]\n  14 [size=\"76388352\", alpha=\"0.09\", expect_size=\"38194176\"] \n  14 -> 15 [size =\"38194176\"]\n  15 [size=\"69236736\", alpha=\"0.12\", expect_size=\"34618368\"] \n  15 -> 16 [size =\"34618368\"]\n  16 [size=\"46125056\", alpha=\"0.10\", expect_size=\"23062528\"] \n  16 -> 17 [size =\"23062528\"]\n  17 [size=\"41967616\", alpha=\"0.09\", expect_size=\"20983808\"] \n  17 -> 18 [size =\"20983808\"]\n  18 [size=\"59154432\", alpha=\"0.07\", expect_size=\"29577216\"] \n  18 -> 19 [size =\"29577216\"]\n  19 [size=\"27805696\", alpha=\"0.09\", expect_size=\"13902848\"] \n  19 -> 20 [size =\"13902848\"]\n  20 [size=\"24741888\", alpha=\"0.14\", expect_size=\"12370944\"] \n  20 -> 21 [size =\"12370944\"]\n  21 [size=\"21573632\", alpha=\"0.03\", expect_size=\"10786816\"] \n  21 -> 22 [size =\"10786816\"]\n  22 [size=\"38580224\", alpha=\"0.16\", expect_size=\"19290112\"] \n  22 -> 23 [size =\"19290112\"]\n  23 [size=\"68253696\", alpha=\"0.01\", expect_size=\"34126848\"] \n  23 -> 24 [size =\"34126848\"]\n  24 [size=\"25997312\", alpha=\"0.05\", expect_size=\"12998656\"] \n  24 -> 25 [size =\"12998656\"]\n  25 [size=\"69271552\", alpha=\"0.19\", expect_size=\"34635776\"] \n  25 -> 26 [size =\"34635776\"]\n  26 [size=\"33273856\", alpha=\"0.08\", expect_size=\"16636928\"] \n  26 -> 27 [size =\"16636928\"]\n  27 [size=\"80652288\", alpha=\"0.08\", expect_size=\"40326144\"] \n  27 -> 28 [size =\"40326144\"]\n  28 [size=\"27940864\", alpha=\"0.01\", expect_size=\"13970432\"] \n  28 -> 29 [size =\"13970432\"]\n  29 [size=\"62095360\", alpha=\"0.02\", expect_size=\"31047680\"] \n  29 -> 30 [size =\"31047680\"]\n  30 [size=\"104278016\", alpha=\"0.06\", expect_size=\"52139008\"] \n  30 -> 31 [size =\"52139008\"]\n  31 [size=\"77852672\", alpha=\"0.13\", expect_size=\"38926336\"] \n  31 -> 32 [size =\"38926336\"]\n  32 [size=\"92979200\", alpha=\"0.03\", expect_size=\"46489600\"] \n  32 -> 33 [size =\"46489600\"]\n  33 [size=\"75030528\", alpha=\"0.09\", expect_size=\"37515264\"] \n  33 -> 34 [size =\"37515264\"]\n  34 [size=\"77795328\", alpha=\"0.08\", expect_size=\"38897664\"] \n  34 -> 35 [size =\"38897664\"]\n  35 [size=\"103047168\", alpha=\"0.19\", expect_size=\"51523584\"] \n  35 -> 36 [size =\"51523584\"]\n  36 [size=\"99151872\", alpha=\"0.19\", expect_size=\"49575936\"] \n  36 -> 37 [size =\"49575936\"]\n  37 [size=\"43556864\", alpha=\"0.04\", expect_size=\"21778432\"] \n  37 -> 38 [size =\"21778432\"]\n  38 [size=\"79345664\", alpha=\"0.01\", expect_size=\"39672832\"] \n  38 -> 39 [size =\"39672832\"]\n  39 [size=\"82089984\", alpha=\"0.00\", expect_size=\"41044992\"] \n  39 -> 40 [size =\"41044992\"]\n  40 [size=\"91750400\", alpha=\"0.03\", expect_size=\"45875200\"] \n  40 -> 41 [size =\"45875200\"]\n  41 [size=\"26245120\", alpha=\"0.09\", expect_size=\"13122560\"] \n  41 -> 42 [size =\"13122560\"]\n  42 [size=\"86630400\", alpha=\"0.20\", expect_size=\"43315200\"] \n  42 -> 43 [size =\"43315200\"]\n  43 [size=\"102789120\", alpha=\"0.03\", expect_size=\"51394560\"] \n  43 -> 44 [size =\"51394560\"]\n  44 [size=\"49172480\", alpha=\"0.10\", expect_size=\"24586240\"] \n  44 -> 45 [size =\"24586240\"]\n  45 [size=\"86056960\", alpha=\"0.09\", expect_size=\"43028480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106050560\", alpha=\"0.14\", expect_size=\"42420224\"] \n  1 -> 4 [size =\"42420224\"]\n  2 [size=\"53470720\", alpha=\"0.13\", expect_size=\"21388288\"] \n  2 -> 3 [size =\"21388288\"]\n  3 [size=\"61877760\", alpha=\"0.03\", expect_size=\"24751104\"] \n  3 -> 5 [size =\"24751104\"]\n  3 -> 6 [size =\"24751104\"]\n  4 [size=\"73978880\", alpha=\"0.09\", expect_size=\"29591552\"] \n  4 -> 6 [size =\"29591552\"]\n  5 [size=\"84282880\", alpha=\"0.18\", expect_size=\"33713152\"] \n  5 -> 7 [size =\"33713152\"]\n  6 [size=\"103915520\", alpha=\"0.15\", expect_size=\"41566208\"] \n  6 -> 8 [size =\"41566208\"]\n  7 [size=\"101888000\", alpha=\"0.01\", expect_size=\"40755200\"] \n  7 -> 9 [size =\"40755200\"]\n  7 -> 10 [size =\"40755200\"]\n  8 [size=\"41146880\", alpha=\"0.18\", expect_size=\"16458752\"] \n  8 -> 11 [size =\"16458752\"]\n  9 [size=\"100602880\", alpha=\"0.08\", expect_size=\"40241152\"] \n  10 [size=\"57802240\", alpha=\"0.19\", expect_size=\"23120896\"] \n  10 -> 12 [size =\"23120896\"]\n  10 -> 13 [size =\"23120896\"]\n  11 [size=\"94448640\", alpha=\"0.09\", expect_size=\"37779456\"] \n  11 -> 13 [size =\"37779456\"]\n  11 -> 14 [size =\"37779456\"]\n  12 [size=\"61061120\", alpha=\"0.03\", expect_size=\"24424448\"] \n  12 -> 15 [size =\"24424448\"]\n  13 [size=\"17853440\", alpha=\"0.00\", expect_size=\"7141376\"] \n  13 -> 15 [size =\"7141376\"]\n  13 -> 16 [size =\"7141376\"]\n  14 [size=\"35799040\", alpha=\"0.09\", expect_size=\"14319616\"] \n  14 -> 17 [size =\"14319616\"]\n  15 [size=\"90583040\", alpha=\"0.03\", expect_size=\"36233216\"] \n  15 -> 18 [size =\"36233216\"]\n  15 -> 19 [size =\"36233216\"]\n  16 [size=\"79226880\", alpha=\"0.13\", expect_size=\"31690752\"] \n  17 [size=\"52364800\", alpha=\"0.06\", expect_size=\"20945920\"] \n  17 -> 18 [size =\"20945920\"]\n  17 -> 19 [size =\"20945920\"]\n  18 [size=\"60480000\", alpha=\"0.09\", expect_size=\"24192000\"] \n  19 [size=\"50795520\", alpha=\"0.19\", expect_size=\"20318208\"] \n  19 -> 20 [size =\"20318208\"]\n  19 -> 21 [size =\"20318208\"]\n  20 [size=\"95938560\", alpha=\"0.19\", expect_size=\"38375424\"] \n  20 -> 22 [size =\"38375424\"]\n  21 [size=\"90675200\", alpha=\"0.14\", expect_size=\"36270080\"] \n  21 -> 22 [size =\"36270080\"]\n  21 -> 23 [size =\"36270080\"]\n  22 [size=\"27328000\", alpha=\"0.16\", expect_size=\"10931200\"] \n  23 [size=\"45765120\", alpha=\"0.06\", expect_size=\"18306048\"] \n  23 -> 24 [size =\"18306048\"]\n  23 -> 25 [size =\"18306048\"]\n  24 [size=\"47160320\", alpha=\"0.06\", expect_size=\"18864128\"] \n  24 -> 27 [size =\"18864128\"]\n  25 [size=\"100180480\", alpha=\"0.19\", expect_size=\"40072192\"] \n  25 -> 26 [size =\"40072192\"]\n  25 -> 28 [size =\"40072192\"]\n  26 [size=\"119016960\", alpha=\"0.07\", expect_size=\"47606784\"] \n  27 [size=\"77465600\", alpha=\"0.09\", expect_size=\"30986240\"] \n  27 -> 29 [size =\"30986240\"]\n  28 [size=\"113072640\", alpha=\"0.17\", expect_size=\"45229056\"] \n  28 -> 29 [size =\"45229056\"]\n  28 -> 30 [size =\"45229056\"]\n  28 -> 31 [size =\"45229056\"]\n  29 [size=\"46896640\", alpha=\"0.20\", expect_size=\"18758656\"] \n  29 -> 32 [size =\"18758656\"]\n  30 [size=\"43630080\", alpha=\"0.10\", expect_size=\"17452032\"] \n  30 -> 32 [size =\"17452032\"]\n  31 [size=\"35934720\", alpha=\"0.14\", expect_size=\"14373888\"] \n  31 -> 33 [size =\"14373888\"]\n  32 [size=\"116751360\", alpha=\"0.06\", expect_size=\"46700544\"] \n  32 -> 34 [size =\"46700544\"]\n  32 -> 35 [size =\"46700544\"]\n  33 [size=\"90513920\", alpha=\"0.19\", expect_size=\"36205568\"] \n  33 -> 35 [size =\"36205568\"]\n  34 [size=\"123960320\", alpha=\"0.15\", expect_size=\"49584128\"] \n  34 -> 36 [size =\"49584128\"]\n  34 -> 37 [size =\"49584128\"]\n  34 -> 38 [size =\"49584128\"]\n  35 [size=\"42032640\", alpha=\"0.05\", expect_size=\"16813056\"] \n  35 -> 37 [size =\"16813056\"]\n  35 -> 38 [size =\"16813056\"]\n  36 [size=\"33876480\", alpha=\"0.06\", expect_size=\"13550592\"] \n  37 [size=\"72335360\", alpha=\"0.14\", expect_size=\"28934144\"] \n  37 -> 39 [size =\"28934144\"]\n  37 -> 40 [size =\"28934144\"]\n  38 [size=\"128225280\", alpha=\"0.10\", expect_size=\"51290112\"] \n  38 -> 39 [size =\"51290112\"]\n  38 -> 40 [size =\"51290112\"]\n  39 [size=\"111623680\", alpha=\"0.12\", expect_size=\"44649472\"] \n  39 -> 41 [size =\"44649472\"]\n  39 -> 42 [size =\"44649472\"]\n  39 -> 43 [size =\"44649472\"]\n  40 [size=\"110028800\", alpha=\"0.08\", expect_size=\"44011520\"] \n  41 [size=\"50168320\", alpha=\"0.17\", expect_size=\"20067328\"] \n  41 -> 45 [size =\"20067328\"]\n  42 [size=\"13388800\", alpha=\"0.09\", expect_size=\"5355520\"] \n  42 -> 44 [size =\"5355520\"]\n  42 -> 45 [size =\"5355520\"]\n  43 [size=\"47644160\", alpha=\"0.06\", expect_size=\"19057664\"] \n  43 -> 44 [size =\"19057664\"]\n  44 [size=\"39713280\", alpha=\"0.09\", expect_size=\"15885312\"] \n  45 [size=\"130255360\", alpha=\"0.07\", expect_size=\"52102144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17574400\", alpha=\"0.13\", expect_size=\"7029760\"] \n  1 -> 36 [size =\"7029760\"]\n  1 -> 37 [size =\"7029760\"]\n  1 -> 38 [size =\"7029760\"]\n  1 -> 39 [size =\"7029760\"]\n  1 -> 41 [size =\"7029760\"]\n  2 [size=\"107732480\", alpha=\"0.05\", expect_size=\"43092992\"] \n  2 -> 37 [size =\"43092992\"]\n  2 -> 38 [size =\"43092992\"]\n  2 -> 39 [size =\"43092992\"]\n  2 -> 40 [size =\"43092992\"]\n  2 -> 42 [size =\"43092992\"]\n  3 [size=\"119027200\", alpha=\"0.10\", expect_size=\"47610880\"] \n  3 -> 37 [size =\"47610880\"]\n  3 -> 38 [size =\"47610880\"]\n  3 -> 39 [size =\"47610880\"]\n  3 -> 40 [size =\"47610880\"]\n  3 -> 42 [size =\"47610880\"]\n  4 [size=\"32168960\", alpha=\"0.20\", expect_size=\"12867584\"] \n  4 -> 37 [size =\"12867584\"]\n  5 [size=\"64373760\", alpha=\"0.06\", expect_size=\"25749504\"] \n  5 -> 37 [size =\"25749504\"]\n  6 [size=\"82170880\", alpha=\"0.12\", expect_size=\"32868352\"] \n  6 -> 37 [size =\"32868352\"]\n  6 -> 40 [size =\"32868352\"]\n  6 -> 41 [size =\"32868352\"]\n  6 -> 45 [size =\"32868352\"]\n  7 [size=\"28892160\", alpha=\"0.15\", expect_size=\"11556864\"] \n  7 -> 37 [size =\"11556864\"]\n  7 -> 39 [size =\"11556864\"]\n  7 -> 41 [size =\"11556864\"]\n  7 -> 42 [size =\"11556864\"]\n  8 [size=\"61921280\", alpha=\"0.17\", expect_size=\"24768512\"] \n  8 -> 39 [size =\"24768512\"]\n  8 -> 40 [size =\"24768512\"]\n  8 -> 41 [size =\"24768512\"]\n  8 -> 45 [size =\"24768512\"]\n  9 [size=\"42552320\", alpha=\"0.04\", expect_size=\"17020928\"] \n  10 [size=\"17303040\", alpha=\"0.20\", expect_size=\"6921216\"] \n  10 -> 36 [size =\"6921216\"]\n  10 -> 39 [size =\"6921216\"]\n  10 -> 41 [size =\"6921216\"]\n  11 [size=\"87349760\", alpha=\"0.06\", expect_size=\"34939904\"] \n  11 -> 36 [size =\"34939904\"]\n  11 -> 38 [size =\"34939904\"]\n  11 -> 42 [size =\"34939904\"]\n  11 -> 45 [size =\"34939904\"]\n  12 [size=\"44894720\", alpha=\"0.10\", expect_size=\"17957888\"] \n  12 -> 38 [size =\"17957888\"]\n  12 -> 42 [size =\"17957888\"]\n  13 [size=\"74311680\", alpha=\"0.03\", expect_size=\"29724672\"] \n  13 -> 36 [size =\"29724672\"]\n  13 -> 38 [size =\"29724672\"]\n  13 -> 39 [size =\"29724672\"]\n  13 -> 42 [size =\"29724672\"]\n  13 -> 43 [size =\"29724672\"]\n  14 [size=\"14650880\", alpha=\"0.08\", expect_size=\"5860352\"] \n  14 -> 36 [size =\"5860352\"]\n  14 -> 42 [size =\"5860352\"]\n  14 -> 43 [size =\"5860352\"]\n  15 [size=\"13539840\", alpha=\"0.09\", expect_size=\"5415936\"] \n  16 [size=\"46773760\", alpha=\"0.03\", expect_size=\"18709504\"] \n  16 -> 39 [size =\"18709504\"]\n  16 -> 42 [size =\"18709504\"]\n  16 -> 45 [size =\"18709504\"]\n  17 [size=\"117450240\", alpha=\"0.09\", expect_size=\"46980096\"] \n  17 -> 37 [size =\"46980096\"]\n  17 -> 38 [size =\"46980096\"]\n  17 -> 41 [size =\"46980096\"]\n  17 -> 42 [size =\"46980096\"]\n  17 -> 44 [size =\"46980096\"]\n  18 [size=\"85969920\", alpha=\"0.01\", expect_size=\"34387968\"] \n  18 -> 38 [size =\"34387968\"]\n  18 -> 39 [size =\"34387968\"]\n  18 -> 42 [size =\"34387968\"]\n  18 -> 43 [size =\"34387968\"]\n  18 -> 44 [size =\"34387968\"]\n  19 [size=\"68828160\", alpha=\"0.11\", expect_size=\"27531264\"] \n  19 -> 36 [size =\"27531264\"]\n  19 -> 40 [size =\"27531264\"]\n  19 -> 43 [size =\"27531264\"]\n  19 -> 43 [size =\"27531264\"]\n  19 -> 45 [size =\"27531264\"]\n  20 [size=\"90112000\", alpha=\"0.14\", expect_size=\"36044800\"] \n  20 -> 36 [size =\"36044800\"]\n  20 -> 38 [size =\"36044800\"]\n  20 -> 42 [size =\"36044800\"]\n  20 -> 45 [size =\"36044800\"]\n  21 [size=\"87800320\", alpha=\"0.18\", expect_size=\"35120128\"] \n  21 -> 37 [size =\"35120128\"]\n  21 -> 39 [size =\"35120128\"]\n  21 -> 40 [size =\"35120128\"]\n  21 -> 42 [size =\"35120128\"]\n  21 -> 43 [size =\"35120128\"]\n  22 [size=\"121067520\", alpha=\"0.18\", expect_size=\"48427008\"] \n  22 -> 40 [size =\"48427008\"]\n  22 -> 41 [size =\"48427008\"]\n  22 -> 42 [size =\"48427008\"]\n  22 -> 42 [size =\"48427008\"]\n  23 [size=\"59804160\", alpha=\"0.17\", expect_size=\"23921664\"] \n  24 [size=\"74841600\", alpha=\"0.18\", expect_size=\"29936640\"] \n  24 -> 36 [size =\"29936640\"]\n  24 -> 37 [size =\"29936640\"]\n  24 -> 38 [size =\"29936640\"]\n  24 -> 40 [size =\"29936640\"]\n  24 -> 41 [size =\"29936640\"]\n  25 [size=\"124948480\", alpha=\"0.08\", expect_size=\"49979392\"] \n  25 -> 37 [size =\"49979392\"]\n  25 -> 38 [size =\"49979392\"]\n  26 [size=\"62392320\", alpha=\"0.10\", expect_size=\"24956928\"] \n  26 -> 37 [size =\"24956928\"]\n  26 -> 38 [size =\"24956928\"]\n  26 -> 39 [size =\"24956928\"]\n  26 -> 40 [size =\"24956928\"]\n  26 -> 41 [size =\"24956928\"]\n  26 -> 42 [size =\"24956928\"]\n  27 [size=\"80414720\", alpha=\"0.14\", expect_size=\"32165888\"] \n  27 -> 38 [size =\"32165888\"]\n  27 -> 39 [size =\"32165888\"]\n  27 -> 40 [size =\"32165888\"]\n  27 -> 40 [size =\"32165888\"]\n  27 -> 42 [size =\"32165888\"]\n  27 -> 45 [size =\"32165888\"]\n  28 [size=\"16842240\", alpha=\"0.07\", expect_size=\"6736896\"] \n  28 -> 37 [size =\"6736896\"]\n  28 -> 39 [size =\"6736896\"]\n  28 -> 40 [size =\"6736896\"]\n  28 -> 42 [size =\"6736896\"]\n  28 -> 44 [size =\"6736896\"]\n  28 -> 45 [size =\"6736896\"]\n  29 [size=\"20748800\", alpha=\"0.04\", expect_size=\"8299520\"] \n  29 -> 36 [size =\"8299520\"]\n  29 -> 44 [size =\"8299520\"]\n  29 -> 45 [size =\"8299520\"]\n  30 [size=\"85713920\", alpha=\"0.03\", expect_size=\"34285568\"] \n  30 -> 37 [size =\"34285568\"]\n  30 -> 40 [size =\"34285568\"]\n  30 -> 41 [size =\"34285568\"]\n  30 -> 43 [size =\"34285568\"]\n  30 -> 45 [size =\"34285568\"]\n  31 [size=\"52226560\", alpha=\"0.14\", expect_size=\"20890624\"] \n  31 -> 37 [size =\"20890624\"]\n  31 -> 42 [size =\"20890624\"]\n  31 -> 43 [size =\"20890624\"]\n  31 -> 43 [size =\"20890624\"]\n  31 -> 45 [size =\"20890624\"]\n  32 [size=\"42718720\", alpha=\"0.10\", expect_size=\"17087488\"] \n  32 -> 37 [size =\"17087488\"]\n  32 -> 41 [size =\"17087488\"]\n  32 -> 42 [size =\"17087488\"]\n  32 -> 43 [size =\"17087488\"]\n  32 -> 45 [size =\"17087488\"]\n  33 [size=\"33853440\", alpha=\"0.17\", expect_size=\"13541376\"] \n  33 -> 37 [size =\"13541376\"]\n  33 -> 38 [size =\"13541376\"]\n  33 -> 41 [size =\"13541376\"]\n  33 -> 42 [size =\"13541376\"]\n  33 -> 45 [size =\"13541376\"]\n  34 [size=\"13585920\", alpha=\"0.04\", expect_size=\"5434368\"] \n  34 -> 37 [size =\"5434368\"]\n  34 -> 39 [size =\"5434368\"]\n  34 -> 40 [size =\"5434368\"]\n  35 [size=\"118945280\", alpha=\"0.11\", expect_size=\"47578112\"] \n  35 -> 40 [size =\"47578112\"]\n  35 -> 43 [size =\"47578112\"]\n  36 [size=\"47301120\", alpha=\"0.03\", expect_size=\"18920448\"] \n  37 [size=\"103654400\", alpha=\"0.14\", expect_size=\"41461760\"] \n  38 [size=\"67855360\", alpha=\"0.17\", expect_size=\"27142144\"] \n  39 [size=\"106688000\", alpha=\"0.09\", expect_size=\"42675200\"] \n  40 [size=\"13667840\", alpha=\"0.14\", expect_size=\"5467136\"] \n  41 [size=\"28920320\", alpha=\"0.12\", expect_size=\"11568128\"] \n  42 [size=\"108728320\", alpha=\"0.08\", expect_size=\"43491328\"] \n  43 [size=\"48944640\", alpha=\"0.13\", expect_size=\"19577856\"] \n  44 [size=\"28746240\", alpha=\"0.07\", expect_size=\"11498496\"] \n  45 [size=\"49674240\", alpha=\"0.01\", expect_size=\"19869696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"144988160\", alpha=\"0.10\", expect_size=\"43496448\"] \n  1 -> 4 [size =\"43496448\"]\n  1 -> 5 [size =\"43496448\"]\n  1 -> 6 [size =\"43496448\"]\n  1 -> 7 [size =\"43496448\"]\n  1 -> 8 [size =\"43496448\"]\n  2 [size=\"32167253\", alpha=\"0.08\", expect_size=\"9650176\"] \n  2 -> 5 [size =\"9650176\"]\n  2 -> 5 [size =\"9650176\"]\n  3 [size=\"89275733\", alpha=\"0.12\", expect_size=\"26782720\"] \n  3 -> 4 [size =\"26782720\"]\n  3 -> 8 [size =\"26782720\"]\n  4 [size=\"105618773\", alpha=\"0.05\", expect_size=\"31685632\"] \n  4 -> 9 [size =\"31685632\"]\n  4 -> 10 [size =\"31685632\"]\n  4 -> 11 [size =\"31685632\"]\n  5 [size=\"81329493\", alpha=\"0.03\", expect_size=\"24398848\"] \n  5 -> 9 [size =\"24398848\"]\n  6 [size=\"99013973\", alpha=\"0.03\", expect_size=\"29704192\"] \n  6 -> 10 [size =\"29704192\"]\n  6 -> 11 [size =\"29704192\"]\n  7 [size=\"79356587\", alpha=\"0.03\", expect_size=\"23806976\"] \n  7 -> 10 [size =\"23806976\"]\n  7 -> 11 [size =\"23806976\"]\n  8 [size=\"155784533\", alpha=\"0.11\", expect_size=\"46735360\"] \n  8 -> 11 [size =\"46735360\"]\n  9 [size=\"20473173\", alpha=\"0.11\", expect_size=\"6141952\"] \n  9 -> 12 [size =\"6141952\"]\n  9 -> 13 [size =\"6141952\"]\n  9 -> 14 [size =\"6141952\"]\n  9 -> 16 [size =\"6141952\"]\n  9 -> 17 [size =\"6141952\"]\n  9 -> 19 [size =\"6141952\"]\n  10 [size=\"136813227\", alpha=\"0.18\", expect_size=\"41043968\"] \n  10 -> 12 [size =\"41043968\"]\n  10 -> 14 [size =\"41043968\"]\n  10 -> 15 [size =\"41043968\"]\n  10 -> 16 [size =\"41043968\"]\n  10 -> 18 [size =\"41043968\"]\n  10 -> 19 [size =\"41043968\"]\n  11 [size=\"58801493\", alpha=\"0.08\", expect_size=\"17640448\"] \n  11 -> 12 [size =\"17640448\"]\n  11 -> 15 [size =\"17640448\"]\n  11 -> 16 [size =\"17640448\"]\n  11 -> 18 [size =\"17640448\"]\n  11 -> 18 [size =\"17640448\"]\n  11 -> 19 [size =\"17640448\"]\n  12 [size=\"134239573\", alpha=\"0.20\", expect_size=\"40271872\"] \n  12 -> 21 [size =\"40271872\"]\n  13 [size=\"41594880\", alpha=\"0.13\", expect_size=\"12478464\"] \n  13 -> 20 [size =\"12478464\"]\n  13 -> 21 [size =\"12478464\"]\n  13 -> 22 [size =\"12478464\"]\n  14 [size=\"136895147\", alpha=\"0.11\", expect_size=\"41068544\"] \n  14 -> 20 [size =\"41068544\"]\n  14 -> 21 [size =\"41068544\"]\n  14 -> 22 [size =\"41068544\"]\n  15 [size=\"21903360\", alpha=\"0.14\", expect_size=\"6571008\"] \n  15 -> 21 [size =\"6571008\"]\n  15 -> 21 [size =\"6571008\"]\n  16 [size=\"44649813\", alpha=\"0.20\", expect_size=\"13394944\"] \n  16 -> 22 [size =\"13394944\"]\n  17 [size=\"69120000\", alpha=\"0.17\", expect_size=\"20736000\"] \n  17 -> 21 [size =\"20736000\"]\n  18 [size=\"92252160\", alpha=\"0.14\", expect_size=\"27675648\"] \n  18 -> 21 [size =\"27675648\"]\n  19 [size=\"23664640\", alpha=\"0.10\", expect_size=\"7099392\"] \n  19 -> 22 [size =\"7099392\"]\n  20 [size=\"113063253\", alpha=\"0.14\", expect_size=\"33918976\"] \n  20 -> 23 [size =\"33918976\"]\n  20 -> 24 [size =\"33918976\"]\n  20 -> 25 [size =\"33918976\"]\n  20 -> 26 [size =\"33918976\"]\n  21 [size=\"97863680\", alpha=\"0.15\", expect_size=\"29359104\"] \n  21 -> 24 [size =\"29359104\"]\n  21 -> 25 [size =\"29359104\"]\n  21 -> 27 [size =\"29359104\"]\n  21 -> 28 [size =\"29359104\"]\n  22 [size=\"162542933\", alpha=\"0.17\", expect_size=\"48762880\"] \n  22 -> 23 [size =\"48762880\"]\n  22 -> 24 [size =\"48762880\"]\n  22 -> 25 [size =\"48762880\"]\n  22 -> 26 [size =\"48762880\"]\n  22 -> 28 [size =\"48762880\"]\n  22 -> 29 [size =\"48762880\"]\n  23 [size=\"162389333\", alpha=\"0.09\", expect_size=\"48716800\"] \n  23 -> 31 [size =\"48716800\"]\n  23 -> 32 [size =\"48716800\"]\n  24 [size=\"105192107\", alpha=\"0.12\", expect_size=\"31557632\"] \n  24 -> 30 [size =\"31557632\"]\n  24 -> 32 [size =\"31557632\"]\n  25 [size=\"34426880\", alpha=\"0.02\", expect_size=\"10328064\"] \n  25 -> 31 [size =\"10328064\"]\n  25 -> 32 [size =\"10328064\"]\n  26 [size=\"141066240\", alpha=\"0.04\", expect_size=\"42319872\"] \n  26 -> 32 [size =\"42319872\"]\n  27 [size=\"137652907\", alpha=\"0.13\", expect_size=\"41295872\"] \n  27 -> 31 [size =\"41295872\"]\n  27 -> 34 [size =\"41295872\"]\n  28 [size=\"110626133\", alpha=\"0.20\", expect_size=\"33187840\"] \n  28 -> 32 [size =\"33187840\"]\n  28 -> 33 [size =\"33187840\"]\n  28 -> 34 [size =\"33187840\"]\n  29 [size=\"62126080\", alpha=\"0.07\", expect_size=\"18637824\"] \n  29 -> 34 [size =\"18637824\"]\n  30 [size=\"139683840\", alpha=\"0.09\", expect_size=\"41905152\"] \n  30 -> 36 [size =\"41905152\"]\n  30 -> 37 [size =\"41905152\"]\n  30 -> 39 [size =\"41905152\"]\n  31 [size=\"94187520\", alpha=\"0.16\", expect_size=\"28256256\"] \n  31 -> 37 [size =\"28256256\"]\n  31 -> 39 [size =\"28256256\"]\n  32 [size=\"53149013\", alpha=\"0.19\", expect_size=\"15944704\"] \n  32 -> 37 [size =\"15944704\"]\n  32 -> 39 [size =\"15944704\"]\n  33 [size=\"31266133\", alpha=\"0.04\", expect_size=\"9379840\"] \n  33 -> 36 [size =\"9379840\"]\n  33 -> 37 [size =\"9379840\"]\n  34 [size=\"100331520\", alpha=\"0.05\", expect_size=\"30099456\"] \n  34 -> 35 [size =\"30099456\"]\n  34 -> 36 [size =\"30099456\"]\n  34 -> 37 [size =\"30099456\"]\n  34 -> 38 [size =\"30099456\"]\n  34 -> 39 [size =\"30099456\"]\n  35 [size=\"33925120\", alpha=\"0.06\", expect_size=\"10177536\"] \n  35 -> 41 [size =\"10177536\"]\n  35 -> 42 [size =\"10177536\"]\n  35 -> 43 [size =\"10177536\"]\n  36 [size=\"53186560\", alpha=\"0.11\", expect_size=\"15955968\"] \n  36 -> 40 [size =\"15955968\"]\n  36 -> 42 [size =\"15955968\"]\n  36 -> 45 [size =\"15955968\"]\n  37 [size=\"82363733\", alpha=\"0.02\", expect_size=\"24709120\"] \n  37 -> 41 [size =\"24709120\"]\n  37 -> 45 [size =\"24709120\"]\n  38 [size=\"26057387\", alpha=\"0.03\", expect_size=\"7817216\"] \n  38 -> 41 [size =\"7817216\"]\n  38 -> 43 [size =\"7817216\"]\n  39 [size=\"22579200\", alpha=\"0.04\", expect_size=\"6773760\"] \n  39 -> 40 [size =\"6773760\"]\n  39 -> 41 [size =\"6773760\"]\n  39 -> 44 [size =\"6773760\"]\n  40 [size=\"74919253\", alpha=\"0.18\", expect_size=\"22475776\"] \n  41 [size=\"145138347\", alpha=\"0.02\", expect_size=\"43541504\"] \n  42 [size=\"117278720\", alpha=\"0.04\", expect_size=\"35183616\"] \n  43 [size=\"108103680\", alpha=\"0.05\", expect_size=\"32431104\"] \n  44 [size=\"141731840\", alpha=\"0.17\", expect_size=\"42519552\"] \n  45 [size=\"23009280\", alpha=\"0.11\", expect_size=\"6902784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44904448\", alpha=\"0.01\", expect_size=\"22452224\"] \n  1 -> 2 [size =\"22452224\"]\n  2 [size=\"57919488\", alpha=\"0.06\", expect_size=\"28959744\"] \n  2 -> 3 [size =\"28959744\"]\n  3 [size=\"50151424\", alpha=\"0.06\", expect_size=\"25075712\"] \n  3 -> 4 [size =\"25075712\"]\n  4 [size=\"39903232\", alpha=\"0.11\", expect_size=\"19951616\"] \n  4 -> 5 [size =\"19951616\"]\n  5 [size=\"94658560\", alpha=\"0.12\", expect_size=\"47329280\"] \n  5 -> 6 [size =\"47329280\"]\n  6 [size=\"26744832\", alpha=\"0.07\", expect_size=\"13372416\"] \n  6 -> 7 [size =\"13372416\"]\n  7 [size=\"76177408\", alpha=\"0.04\", expect_size=\"38088704\"] \n  7 -> 8 [size =\"38088704\"]\n  8 [size=\"19238912\", alpha=\"0.04\", expect_size=\"9619456\"] \n  8 -> 9 [size =\"9619456\"]\n  9 [size=\"96800768\", alpha=\"0.03\", expect_size=\"48400384\"] \n  9 -> 10 [size =\"48400384\"]\n  10 [size=\"35338240\", alpha=\"0.20\", expect_size=\"17669120\"] \n  10 -> 11 [size =\"17669120\"]\n  11 [size=\"39096320\", alpha=\"0.14\", expect_size=\"19548160\"] \n  11 -> 12 [size =\"19548160\"]\n  12 [size=\"42860544\", alpha=\"0.08\", expect_size=\"21430272\"] \n  12 -> 13 [size =\"21430272\"]\n  13 [size=\"68947968\", alpha=\"0.12\", expect_size=\"34473984\"] \n  13 -> 14 [size =\"34473984\"]\n  14 [size=\"98084864\", alpha=\"0.15\", expect_size=\"49042432\"] \n  14 -> 15 [size =\"49042432\"]\n  15 [size=\"57124864\", alpha=\"0.14\", expect_size=\"28562432\"] \n  15 -> 16 [size =\"28562432\"]\n  16 [size=\"19249152\", alpha=\"0.06\", expect_size=\"9624576\"] \n  16 -> 17 [size =\"9624576\"]\n  17 [size=\"53325824\", alpha=\"0.14\", expect_size=\"26662912\"] \n  17 -> 18 [size =\"26662912\"]\n  18 [size=\"72306688\", alpha=\"0.04\", expect_size=\"36153344\"] \n  18 -> 19 [size =\"36153344\"]\n  19 [size=\"89176064\", alpha=\"0.07\", expect_size=\"44588032\"] \n  19 -> 20 [size =\"44588032\"]\n  20 [size=\"102000640\", alpha=\"0.19\", expect_size=\"51000320\"] \n  20 -> 21 [size =\"51000320\"]\n  21 [size=\"100933632\", alpha=\"0.18\", expect_size=\"50466816\"] \n  21 -> 22 [size =\"50466816\"]\n  22 [size=\"74235904\", alpha=\"0.08\", expect_size=\"37117952\"] \n  22 -> 23 [size =\"37117952\"]\n  23 [size=\"16920576\", alpha=\"0.06\", expect_size=\"8460288\"] \n  23 -> 24 [size =\"8460288\"]\n  24 [size=\"71989248\", alpha=\"0.10\", expect_size=\"35994624\"] \n  24 -> 25 [size =\"35994624\"]\n  25 [size=\"48738304\", alpha=\"0.12\", expect_size=\"24369152\"] \n  25 -> 26 [size =\"24369152\"]\n  26 [size=\"21432320\", alpha=\"0.17\", expect_size=\"10716160\"] \n  26 -> 27 [size =\"10716160\"]\n  27 [size=\"48121856\", alpha=\"0.17\", expect_size=\"24060928\"] \n  27 -> 28 [size =\"24060928\"]\n  28 [size=\"21360640\", alpha=\"0.18\", expect_size=\"10680320\"] \n  28 -> 29 [size =\"10680320\"]\n  29 [size=\"39727104\", alpha=\"0.17\", expect_size=\"19863552\"] \n  29 -> 30 [size =\"19863552\"]\n  30 [size=\"71282688\", alpha=\"0.02\", expect_size=\"35641344\"] \n  30 -> 31 [size =\"35641344\"]\n  31 [size=\"65783808\", alpha=\"0.13\", expect_size=\"32891904\"] \n  31 -> 32 [size =\"32891904\"]\n  32 [size=\"57645056\", alpha=\"0.10\", expect_size=\"28822528\"] \n  32 -> 33 [size =\"28822528\"]\n  33 [size=\"94302208\", alpha=\"0.01\", expect_size=\"47151104\"] \n  33 -> 34 [size =\"47151104\"]\n  34 [size=\"26681344\", alpha=\"0.09\", expect_size=\"13340672\"] \n  34 -> 35 [size =\"13340672\"]\n  35 [size=\"72941568\", alpha=\"0.08\", expect_size=\"36470784\"] \n  35 -> 36 [size =\"36470784\"]\n  36 [size=\"34140160\", alpha=\"0.08\", expect_size=\"17070080\"] \n  36 -> 37 [size =\"17070080\"]\n  37 [size=\"20914176\", alpha=\"0.18\", expect_size=\"10457088\"] \n  37 -> 38 [size =\"10457088\"]\n  38 [size=\"98951168\", alpha=\"0.00\", expect_size=\"49475584\"] \n  38 -> 39 [size =\"49475584\"]\n  39 [size=\"88264704\", alpha=\"0.19\", expect_size=\"44132352\"] \n  39 -> 40 [size =\"44132352\"]\n  40 [size=\"75169792\", alpha=\"0.18\", expect_size=\"37584896\"] \n  40 -> 41 [size =\"37584896\"]\n  41 [size=\"84520960\", alpha=\"0.16\", expect_size=\"42260480\"] \n  41 -> 42 [size =\"42260480\"]\n  42 [size=\"50554880\", alpha=\"0.07\", expect_size=\"25277440\"] \n  42 -> 43 [size =\"25277440\"]\n  43 [size=\"100024320\", alpha=\"0.20\", expect_size=\"50012160\"] \n  43 -> 44 [size =\"50012160\"]\n  44 [size=\"102645760\", alpha=\"0.05\", expect_size=\"51322880\"] \n  44 -> 45 [size =\"51322880\"]\n  45 [size=\"51648512\", alpha=\"0.19\", expect_size=\"25824256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107851093\", alpha=\"0.09\", expect_size=\"32355328\"] \n  1 -> 3 [size =\"32355328\"]\n  1 -> 4 [size =\"32355328\"]\n  2 [size=\"40765440\", alpha=\"0.15\", expect_size=\"12229632\"] \n  2 -> 3 [size =\"12229632\"]\n  2 -> 4 [size =\"12229632\"]\n  3 [size=\"98754560\", alpha=\"0.05\", expect_size=\"29626368\"] \n  3 -> 6 [size =\"29626368\"]\n  4 [size=\"84821333\", alpha=\"0.14\", expect_size=\"25446400\"] \n  4 -> 5 [size =\"25446400\"]\n  4 -> 6 [size =\"25446400\"]\n  4 -> 7 [size =\"25446400\"]\n  5 [size=\"96354987\", alpha=\"0.18\", expect_size=\"28906496\"] \n  5 -> 8 [size =\"28906496\"]\n  5 -> 9 [size =\"28906496\"]\n  6 [size=\"134949547\", alpha=\"0.16\", expect_size=\"40484864\"] \n  6 -> 8 [size =\"40484864\"]\n  6 -> 9 [size =\"40484864\"]\n  7 [size=\"138202453\", alpha=\"0.09\", expect_size=\"41460736\"] \n  7 -> 8 [size =\"41460736\"]\n  7 -> 9 [size =\"41460736\"]\n  8 [size=\"146418347\", alpha=\"0.13\", expect_size=\"43925504\"] \n  8 -> 10 [size =\"43925504\"]\n  8 -> 11 [size =\"43925504\"]\n  9 [size=\"115357013\", alpha=\"0.19\", expect_size=\"34607104\"] \n  9 -> 10 [size =\"34607104\"]\n  10 [size=\"173987840\", alpha=\"0.16\", expect_size=\"52196352\"] \n  11 [size=\"106639360\", alpha=\"0.09\", expect_size=\"31991808\"] \n  11 -> 12 [size =\"31991808\"]\n  11 -> 13 [size =\"31991808\"]\n  12 [size=\"20432213\", alpha=\"0.08\", expect_size=\"6129664\"] \n  12 -> 14 [size =\"6129664\"]\n  12 -> 15 [size =\"6129664\"]\n  12 -> 16 [size =\"6129664\"]\n  13 [size=\"135686827\", alpha=\"0.12\", expect_size=\"40706048\"] \n  13 -> 14 [size =\"40706048\"]\n  13 -> 15 [size =\"40706048\"]\n  13 -> 16 [size =\"40706048\"]\n  14 [size=\"173165227\", alpha=\"0.09\", expect_size=\"51949568\"] \n  14 -> 17 [size =\"51949568\"]\n  14 -> 18 [size =\"51949568\"]\n  15 [size=\"124248747\", alpha=\"0.04\", expect_size=\"37274624\"] \n  15 -> 18 [size =\"37274624\"]\n  16 [size=\"110390613\", alpha=\"0.01\", expect_size=\"33117184\"] \n  16 -> 18 [size =\"33117184\"]\n  17 [size=\"75421013\", alpha=\"0.03\", expect_size=\"22626304\"] \n  17 -> 19 [size =\"22626304\"]\n  18 [size=\"143663787\", alpha=\"0.17\", expect_size=\"43099136\"] \n  18 -> 19 [size =\"43099136\"]\n  18 -> 20 [size =\"43099136\"]\n  19 [size=\"87186773\", alpha=\"0.20\", expect_size=\"26156032\"] \n  19 -> 21 [size =\"26156032\"]\n  19 -> 22 [size =\"26156032\"]\n  19 -> 23 [size =\"26156032\"]\n  20 [size=\"78745600\", alpha=\"0.06\", expect_size=\"23623680\"] \n  20 -> 22 [size =\"23623680\"]\n  20 -> 23 [size =\"23623680\"]\n  21 [size=\"46117547\", alpha=\"0.03\", expect_size=\"13835264\"] \n  22 [size=\"113978027\", alpha=\"0.04\", expect_size=\"34193408\"] \n  23 [size=\"17694720\", alpha=\"0.14\", expect_size=\"5308416\"] \n  23 -> 24 [size =\"5308416\"]\n  23 -> 25 [size =\"5308416\"]\n  24 [size=\"110052693\", alpha=\"0.14\", expect_size=\"33015808\"] \n  24 -> 26 [size =\"33015808\"]\n  24 -> 27 [size =\"33015808\"]\n  24 -> 28 [size =\"33015808\"]\n  25 [size=\"25070933\", alpha=\"0.03\", expect_size=\"7521280\"] \n  25 -> 26 [size =\"7521280\"]\n  25 -> 27 [size =\"7521280\"]\n  26 [size=\"54705493\", alpha=\"0.07\", expect_size=\"16411648\"] \n  27 [size=\"62139733\", alpha=\"0.07\", expect_size=\"18641920\"] \n  27 -> 29 [size =\"18641920\"]\n  27 -> 30 [size =\"18641920\"]\n  28 [size=\"84234240\", alpha=\"0.03\", expect_size=\"25270272\"] \n  28 -> 29 [size =\"25270272\"]\n  28 -> 30 [size =\"25270272\"]\n  29 [size=\"63928320\", alpha=\"0.11\", expect_size=\"19178496\"] \n  29 -> 31 [size =\"19178496\"]\n  29 -> 32 [size =\"19178496\"]\n  29 -> 33 [size =\"19178496\"]\n  30 [size=\"62429867\", alpha=\"0.19\", expect_size=\"18728960\"] \n  30 -> 32 [size =\"18728960\"]\n  30 -> 33 [size =\"18728960\"]\n  31 [size=\"107557547\", alpha=\"0.19\", expect_size=\"32267264\"] \n  32 [size=\"132392960\", alpha=\"0.19\", expect_size=\"39717888\"] \n  32 -> 34 [size =\"39717888\"]\n  33 [size=\"160232107\", alpha=\"0.14\", expect_size=\"48069632\"] \n  33 -> 34 [size =\"48069632\"]\n  33 -> 35 [size =\"48069632\"]\n  34 [size=\"115066880\", alpha=\"0.09\", expect_size=\"34520064\"] \n  34 -> 36 [size =\"34520064\"]\n  34 -> 37 [size =\"34520064\"]\n  35 [size=\"64249173\", alpha=\"0.18\", expect_size=\"19274752\"] \n  35 -> 36 [size =\"19274752\"]\n  35 -> 37 [size =\"19274752\"]\n  36 [size=\"86654293\", alpha=\"0.18\", expect_size=\"25996288\"] \n  36 -> 38 [size =\"25996288\"]\n  36 -> 39 [size =\"25996288\"]\n  37 [size=\"142469120\", alpha=\"0.06\", expect_size=\"42740736\"] \n  37 -> 38 [size =\"42740736\"]\n  37 -> 39 [size =\"42740736\"]\n  38 [size=\"37853867\", alpha=\"0.09\", expect_size=\"11356160\"] \n  38 -> 41 [size =\"11356160\"]\n  39 [size=\"59037013\", alpha=\"0.02\", expect_size=\"17711104\"] \n  39 -> 40 [size =\"17711104\"]\n  39 -> 41 [size =\"17711104\"]\n  40 [size=\"146616320\", alpha=\"0.02\", expect_size=\"43984896\"] \n  40 -> 43 [size =\"43984896\"]\n  40 -> 44 [size =\"43984896\"]\n  41 [size=\"142530560\", alpha=\"0.06\", expect_size=\"42759168\"] \n  41 -> 42 [size =\"42759168\"]\n  41 -> 44 [size =\"42759168\"]\n  42 [size=\"135942827\", alpha=\"0.02\", expect_size=\"40782848\"] \n  43 [size=\"129815893\", alpha=\"0.19\", expect_size=\"38944768\"] \n  43 -> 45 [size =\"38944768\"]\n  44 [size=\"85067093\", alpha=\"0.07\", expect_size=\"25520128\"] \n  44 -> 45 [size =\"25520128\"]\n  45 [size=\"157395627\", alpha=\"0.16\", expect_size=\"47218688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27100160\", alpha=\"0.02\", expect_size=\"10840064\"] \n  1 -> 16 [size =\"10840064\"]\n  1 -> 17 [size =\"10840064\"]\n  1 -> 18 [size =\"10840064\"]\n  1 -> 19 [size =\"10840064\"]\n  1 -> 20 [size =\"10840064\"]\n  1 -> 21 [size =\"10840064\"]\n  1 -> 24 [size =\"10840064\"]\n  1 -> 25 [size =\"10840064\"]\n  1 -> 26 [size =\"10840064\"]\n  1 -> 29 [size =\"10840064\"]\n  2 [size=\"26931200\", alpha=\"0.17\", expect_size=\"10772480\"] \n  2 -> 17 [size =\"10772480\"]\n  2 -> 18 [size =\"10772480\"]\n  2 -> 19 [size =\"10772480\"]\n  2 -> 21 [size =\"10772480\"]\n  2 -> 28 [size =\"10772480\"]\n  2 -> 29 [size =\"10772480\"]\n  3 [size=\"22451200\", alpha=\"0.10\", expect_size=\"8980480\"] \n  3 -> 16 [size =\"8980480\"]\n  3 -> 17 [size =\"8980480\"]\n  3 -> 24 [size =\"8980480\"]\n  3 -> 26 [size =\"8980480\"]\n  3 -> 28 [size =\"8980480\"]\n  4 [size=\"62179840\", alpha=\"0.05\", expect_size=\"24871936\"] \n  4 -> 15 [size =\"24871936\"]\n  4 -> 18 [size =\"24871936\"]\n  4 -> 19 [size =\"24871936\"]\n  4 -> 20 [size =\"24871936\"]\n  4 -> 26 [size =\"24871936\"]\n  4 -> 28 [size =\"24871936\"]\n  5 [size=\"101368320\", alpha=\"0.05\", expect_size=\"40547328\"] \n  5 -> 15 [size =\"40547328\"]\n  5 -> 18 [size =\"40547328\"]\n  5 -> 20 [size =\"40547328\"]\n  5 -> 20 [size =\"40547328\"]\n  5 -> 26 [size =\"40547328\"]\n  5 -> 28 [size =\"40547328\"]\n  5 -> 29 [size =\"40547328\"]\n  6 [size=\"120506880\", alpha=\"0.15\", expect_size=\"48202752\"] \n  6 -> 16 [size =\"48202752\"]\n  6 -> 18 [size =\"48202752\"]\n  6 -> 20 [size =\"48202752\"]\n  6 -> 26 [size =\"48202752\"]\n  6 -> 27 [size =\"48202752\"]\n  6 -> 28 [size =\"48202752\"]\n  6 -> 29 [size =\"48202752\"]\n  7 [size=\"116418560\", alpha=\"0.19\", expect_size=\"46567424\"] \n  7 -> 16 [size =\"46567424\"]\n  7 -> 18 [size =\"46567424\"]\n  7 -> 19 [size =\"46567424\"]\n  7 -> 20 [size =\"46567424\"]\n  7 -> 23 [size =\"46567424\"]\n  7 -> 27 [size =\"46567424\"]\n  7 -> 28 [size =\"46567424\"]\n  8 [size=\"38289920\", alpha=\"0.02\", expect_size=\"15315968\"] \n  8 -> 16 [size =\"15315968\"]\n  8 -> 19 [size =\"15315968\"]\n  8 -> 20 [size =\"15315968\"]\n  8 -> 27 [size =\"15315968\"]\n  8 -> 29 [size =\"15315968\"]\n  9 [size=\"66186240\", alpha=\"0.13\", expect_size=\"26474496\"] \n  9 -> 16 [size =\"26474496\"]\n  9 -> 19 [size =\"26474496\"]\n  9 -> 20 [size =\"26474496\"]\n  9 -> 22 [size =\"26474496\"]\n  9 -> 24 [size =\"26474496\"]\n  9 -> 26 [size =\"26474496\"]\n  9 -> 27 [size =\"26474496\"]\n  9 -> 29 [size =\"26474496\"]\n  10 [size=\"27576320\", alpha=\"0.02\", expect_size=\"11030528\"] \n  10 -> 18 [size =\"11030528\"]\n  10 -> 19 [size =\"11030528\"]\n  10 -> 20 [size =\"11030528\"]\n  10 -> 21 [size =\"11030528\"]\n  10 -> 24 [size =\"11030528\"]\n  10 -> 27 [size =\"11030528\"]\n  10 -> 27 [size =\"11030528\"]\n  10 -> 28 [size =\"11030528\"]\n  10 -> 29 [size =\"11030528\"]\n  11 [size=\"71129600\", alpha=\"0.03\", expect_size=\"28451840\"] \n  11 -> 16 [size =\"28451840\"]\n  11 -> 18 [size =\"28451840\"]\n  11 -> 21 [size =\"28451840\"]\n  11 -> 27 [size =\"28451840\"]\n  11 -> 28 [size =\"28451840\"]\n  11 -> 29 [size =\"28451840\"]\n  12 [size=\"82316800\", alpha=\"0.00\", expect_size=\"32926720\"] \n  12 -> 18 [size =\"32926720\"]\n  12 -> 26 [size =\"32926720\"]\n  12 -> 27 [size =\"32926720\"]\n  12 -> 29 [size =\"32926720\"]\n  13 [size=\"62699520\", alpha=\"0.20\", expect_size=\"25079808\"] \n  13 -> 16 [size =\"25079808\"]\n  13 -> 18 [size =\"25079808\"]\n  13 -> 19 [size =\"25079808\"]\n  13 -> 20 [size =\"25079808\"]\n  13 -> 26 [size =\"25079808\"]\n  13 -> 27 [size =\"25079808\"]\n  13 -> 28 [size =\"25079808\"]\n  13 -> 29 [size =\"25079808\"]\n  14 [size=\"123927040\", alpha=\"0.07\", expect_size=\"49570816\"] \n  14 -> 16 [size =\"49570816\"]\n  14 -> 18 [size =\"49570816\"]\n  14 -> 19 [size =\"49570816\"]\n  14 -> 20 [size =\"49570816\"]\n  14 -> 21 [size =\"49570816\"]\n  14 -> 26 [size =\"49570816\"]\n  14 -> 27 [size =\"49570816\"]\n  14 -> 29 [size =\"49570816\"]\n  15 [size=\"33735680\", alpha=\"0.01\", expect_size=\"13494272\"] \n  15 -> 30 [size =\"13494272\"]\n  15 -> 34 [size =\"13494272\"]\n  15 -> 35 [size =\"13494272\"]\n  15 -> 42 [size =\"13494272\"]\n  16 [size=\"62640640\", alpha=\"0.06\", expect_size=\"25056256\"] \n  16 -> 30 [size =\"25056256\"]\n  16 -> 35 [size =\"25056256\"]\n  16 -> 35 [size =\"25056256\"]\n  16 -> 42 [size =\"25056256\"]\n  17 [size=\"34511360\", alpha=\"0.14\", expect_size=\"13804544\"] \n  17 -> 30 [size =\"13804544\"]\n  17 -> 33 [size =\"13804544\"]\n  17 -> 38 [size =\"13804544\"]\n  17 -> 40 [size =\"13804544\"]\n  17 -> 42 [size =\"13804544\"]\n  18 [size=\"26472960\", alpha=\"0.03\", expect_size=\"10589184\"] \n  18 -> 30 [size =\"10589184\"]\n  18 -> 31 [size =\"10589184\"]\n  18 -> 34 [size =\"10589184\"]\n  18 -> 35 [size =\"10589184\"]\n  18 -> 40 [size =\"10589184\"]\n  18 -> 41 [size =\"10589184\"]\n  18 -> 42 [size =\"10589184\"]\n  19 [size=\"39319040\", alpha=\"0.04\", expect_size=\"15727616\"] \n  19 -> 30 [size =\"15727616\"]\n  19 -> 31 [size =\"15727616\"]\n  19 -> 32 [size =\"15727616\"]\n  19 -> 34 [size =\"15727616\"]\n  19 -> 41 [size =\"15727616\"]\n  19 -> 42 [size =\"15727616\"]\n  19 -> 42 [size =\"15727616\"]\n  20 [size=\"113126400\", alpha=\"0.04\", expect_size=\"45250560\"] \n  20 -> 30 [size =\"45250560\"]\n  20 -> 31 [size =\"45250560\"]\n  20 -> 33 [size =\"45250560\"]\n  20 -> 34 [size =\"45250560\"]\n  20 -> 42 [size =\"45250560\"]\n  21 [size=\"123765760\", alpha=\"0.06\", expect_size=\"49506304\"] \n  21 -> 30 [size =\"49506304\"]\n  21 -> 32 [size =\"49506304\"]\n  21 -> 33 [size =\"49506304\"]\n  21 -> 34 [size =\"49506304\"]\n  21 -> 35 [size =\"49506304\"]\n  22 [size=\"25305600\", alpha=\"0.10\", expect_size=\"10122240\"] \n  22 -> 30 [size =\"10122240\"]\n  22 -> 34 [size =\"10122240\"]\n  22 -> 37 [size =\"10122240\"]\n  22 -> 41 [size =\"10122240\"]\n  23 [size=\"27056640\", alpha=\"0.16\", expect_size=\"10822656\"] \n  23 -> 30 [size =\"10822656\"]\n  23 -> 33 [size =\"10822656\"]\n  23 -> 37 [size =\"10822656\"]\n  23 -> 39 [size =\"10822656\"]\n  23 -> 41 [size =\"10822656\"]\n  23 -> 42 [size =\"10822656\"]\n  24 [size=\"24778240\", alpha=\"0.10\", expect_size=\"9911296\"] \n  24 -> 30 [size =\"9911296\"]\n  24 -> 31 [size =\"9911296\"]\n  24 -> 33 [size =\"9911296\"]\n  24 -> 34 [size =\"9911296\"]\n  24 -> 35 [size =\"9911296\"]\n  24 -> 39 [size =\"9911296\"]\n  24 -> 41 [size =\"9911296\"]\n  24 -> 42 [size =\"9911296\"]\n  25 [size=\"67123200\", alpha=\"0.19\", expect_size=\"26849280\"] \n  25 -> 30 [size =\"26849280\"]\n  25 -> 31 [size =\"26849280\"]\n  25 -> 33 [size =\"26849280\"]\n  25 -> 34 [size =\"26849280\"]\n  25 -> 35 [size =\"26849280\"]\n  25 -> 37 [size =\"26849280\"]\n  25 -> 38 [size =\"26849280\"]\n  25 -> 41 [size =\"26849280\"]\n  25 -> 42 [size =\"26849280\"]\n  26 [size=\"75560960\", alpha=\"0.07\", expect_size=\"30224384\"] \n  26 -> 30 [size =\"30224384\"]\n  26 -> 32 [size =\"30224384\"]\n  26 -> 34 [size =\"30224384\"]\n  26 -> 35 [size =\"30224384\"]\n  26 -> 36 [size =\"30224384\"]\n  26 -> 38 [size =\"30224384\"]\n  26 -> 39 [size =\"30224384\"]\n  26 -> 41 [size =\"30224384\"]\n  26 -> 42 [size =\"30224384\"]\n  27 [size=\"110909440\", alpha=\"0.11\", expect_size=\"44363776\"] \n  27 -> 30 [size =\"44363776\"]\n  27 -> 31 [size =\"44363776\"]\n  27 -> 34 [size =\"44363776\"]\n  27 -> 35 [size =\"44363776\"]\n  27 -> 37 [size =\"44363776\"]\n  27 -> 38 [size =\"44363776\"]\n  27 -> 39 [size =\"44363776\"]\n  27 -> 40 [size =\"44363776\"]\n  27 -> 41 [size =\"44363776\"]\n  27 -> 42 [size =\"44363776\"]\n  28 [size=\"75619840\", alpha=\"0.00\", expect_size=\"30247936\"] \n  28 -> 31 [size =\"30247936\"]\n  28 -> 31 [size =\"30247936\"]\n  28 -> 32 [size =\"30247936\"]\n  28 -> 35 [size =\"30247936\"]\n  28 -> 39 [size =\"30247936\"]\n  28 -> 41 [size =\"30247936\"]\n  28 -> 42 [size =\"30247936\"]\n  29 [size=\"93393920\", alpha=\"0.19\", expect_size=\"37357568\"] \n  29 -> 30 [size =\"37357568\"]\n  29 -> 34 [size =\"37357568\"]\n  29 -> 35 [size =\"37357568\"]\n  29 -> 37 [size =\"37357568\"]\n  29 -> 41 [size =\"37357568\"]\n  29 -> 41 [size =\"37357568\"]\n  29 -> 42 [size =\"37357568\"]\n  30 [size=\"119738880\", alpha=\"0.19\", expect_size=\"47895552\"] \n  30 -> 43 [size =\"47895552\"]\n  31 [size=\"25323520\", alpha=\"0.10\", expect_size=\"10129408\"] \n  31 -> 43 [size =\"10129408\"]\n  31 -> 44 [size =\"10129408\"]\n  31 -> 45 [size =\"10129408\"]\n  32 [size=\"60067840\", alpha=\"0.12\", expect_size=\"24027136\"] \n  32 -> 43 [size =\"24027136\"]\n  32 -> 44 [size =\"24027136\"]\n  32 -> 45 [size =\"24027136\"]\n  33 [size=\"119836160\", alpha=\"0.02\", expect_size=\"47934464\"] \n  33 -> 43 [size =\"47934464\"]\n  33 -> 44 [size =\"47934464\"]\n  34 [size=\"96005120\", alpha=\"0.12\", expect_size=\"38402048\"] \n  34 -> 43 [size =\"38402048\"]\n  34 -> 44 [size =\"38402048\"]\n  35 [size=\"37649920\", alpha=\"0.04\", expect_size=\"15059968\"] \n  35 -> 43 [size =\"15059968\"]\n  35 -> 44 [size =\"15059968\"]\n  36 [size=\"33034240\", alpha=\"0.06\", expect_size=\"13213696\"] \n  36 -> 44 [size =\"13213696\"]\n  37 [size=\"71592960\", alpha=\"0.10\", expect_size=\"28637184\"] \n  38 [size=\"20707840\", alpha=\"0.18\", expect_size=\"8283136\"] \n  38 -> 44 [size =\"8283136\"]\n  39 [size=\"23531520\", alpha=\"0.09\", expect_size=\"9412608\"] \n  39 -> 43 [size =\"9412608\"]\n  39 -> 44 [size =\"9412608\"]\n  40 [size=\"15175680\", alpha=\"0.18\", expect_size=\"6070272\"] \n  40 -> 43 [size =\"6070272\"]\n  40 -> 44 [size =\"6070272\"]\n  41 [size=\"128074240\", alpha=\"0.05\", expect_size=\"51229696\"] \n  41 -> 43 [size =\"51229696\"]\n  41 -> 44 [size =\"51229696\"]\n  42 [size=\"66360320\", alpha=\"0.14\", expect_size=\"26544128\"] \n  42 -> 43 [size =\"26544128\"]\n  43 [size=\"17205760\", alpha=\"0.06\", expect_size=\"6882304\"] \n  44 [size=\"30205440\", alpha=\"0.20\", expect_size=\"12082176\"] \n  45 [size=\"98216960\", alpha=\"0.03\", expect_size=\"39286784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13027328\", alpha=\"0.06\", expect_size=\"6513664\"] \n  1 -> 2 [size =\"6513664\"]\n  2 [size=\"82655232\", alpha=\"0.01\", expect_size=\"41327616\"] \n  2 -> 3 [size =\"41327616\"]\n  3 [size=\"23111680\", alpha=\"0.06\", expect_size=\"11555840\"] \n  3 -> 4 [size =\"11555840\"]\n  4 [size=\"36218880\", alpha=\"0.09\", expect_size=\"18109440\"] \n  4 -> 5 [size =\"18109440\"]\n  5 [size=\"70547456\", alpha=\"0.02\", expect_size=\"35273728\"] \n  5 -> 6 [size =\"35273728\"]\n  6 [size=\"88795136\", alpha=\"0.02\", expect_size=\"44397568\"] \n  6 -> 7 [size =\"44397568\"]\n  7 [size=\"34177024\", alpha=\"0.02\", expect_size=\"17088512\"] \n  7 -> 8 [size =\"17088512\"]\n  8 [size=\"25249792\", alpha=\"0.08\", expect_size=\"12624896\"] \n  8 -> 9 [size =\"12624896\"]\n  9 [size=\"35561472\", alpha=\"0.05\", expect_size=\"17780736\"] \n  9 -> 10 [size =\"17780736\"]\n  10 [size=\"54720512\", alpha=\"0.07\", expect_size=\"27360256\"] \n  10 -> 11 [size =\"27360256\"]\n  11 [size=\"75184128\", alpha=\"0.13\", expect_size=\"37592064\"] \n  11 -> 12 [size =\"37592064\"]\n  12 [size=\"11098112\", alpha=\"0.00\", expect_size=\"5549056\"] \n  12 -> 13 [size =\"5549056\"]\n  13 [size=\"15413248\", alpha=\"0.05\", expect_size=\"7706624\"] \n  13 -> 14 [size =\"7706624\"]\n  14 [size=\"45172736\", alpha=\"0.08\", expect_size=\"22586368\"] \n  14 -> 15 [size =\"22586368\"]\n  15 [size=\"89782272\", alpha=\"0.00\", expect_size=\"44891136\"] \n  15 -> 16 [size =\"44891136\"]\n  16 [size=\"98217984\", alpha=\"0.19\", expect_size=\"49108992\"] \n  16 -> 17 [size =\"49108992\"]\n  17 [size=\"12451840\", alpha=\"0.17\", expect_size=\"6225920\"] \n  17 -> 18 [size =\"6225920\"]\n  18 [size=\"21633024\", alpha=\"0.12\", expect_size=\"10816512\"] \n  18 -> 19 [size =\"10816512\"]\n  19 [size=\"60723200\", alpha=\"0.16\", expect_size=\"30361600\"] \n  19 -> 20 [size =\"30361600\"]\n  20 [size=\"82161664\", alpha=\"0.12\", expect_size=\"41080832\"] \n  20 -> 21 [size =\"41080832\"]\n  21 [size=\"21159936\", alpha=\"0.09\", expect_size=\"10579968\"] \n  21 -> 22 [size =\"10579968\"]\n  22 [size=\"80181248\", alpha=\"0.02\", expect_size=\"40090624\"] \n  22 -> 23 [size =\"40090624\"]\n  23 [size=\"81881088\", alpha=\"0.17\", expect_size=\"40940544\"] \n  23 -> 24 [size =\"40940544\"]\n  24 [size=\"12861440\", alpha=\"0.18\", expect_size=\"6430720\"] \n  24 -> 25 [size =\"6430720\"]\n  25 [size=\"50305024\", alpha=\"0.11\", expect_size=\"25152512\"] \n  25 -> 26 [size =\"25152512\"]\n  26 [size=\"51212288\", alpha=\"0.01\", expect_size=\"25606144\"] \n  26 -> 27 [size =\"25606144\"]\n  27 [size=\"47736832\", alpha=\"0.16\", expect_size=\"23868416\"] \n  27 -> 28 [size =\"23868416\"]\n  28 [size=\"31248384\", alpha=\"0.14\", expect_size=\"15624192\"] \n  28 -> 29 [size =\"15624192\"]\n  29 [size=\"88866816\", alpha=\"0.18\", expect_size=\"44433408\"] \n  29 -> 30 [size =\"44433408\"]\n  30 [size=\"67831808\", alpha=\"0.11\", expect_size=\"33915904\"] \n  30 -> 31 [size =\"33915904\"]\n  31 [size=\"31215616\", alpha=\"0.17\", expect_size=\"15607808\"] \n  31 -> 32 [size =\"15607808\"]\n  32 [size=\"75931648\", alpha=\"0.04\", expect_size=\"37965824\"] \n  32 -> 33 [size =\"37965824\"]\n  33 [size=\"85407744\", alpha=\"0.12\", expect_size=\"42703872\"] \n  33 -> 34 [size =\"42703872\"]\n  34 [size=\"72273920\", alpha=\"0.07\", expect_size=\"36136960\"] \n  34 -> 35 [size =\"36136960\"]\n  35 [size=\"62259200\", alpha=\"0.19\", expect_size=\"31129600\"] \n  35 -> 36 [size =\"31129600\"]\n  36 [size=\"21057536\", alpha=\"0.09\", expect_size=\"10528768\"] \n  36 -> 37 [size =\"10528768\"]\n  37 [size=\"26978304\", alpha=\"0.20\", expect_size=\"13489152\"] \n  37 -> 38 [size =\"13489152\"]\n  38 [size=\"103712768\", alpha=\"0.13\", expect_size=\"51856384\"] \n  38 -> 39 [size =\"51856384\"]\n  39 [size=\"77285376\", alpha=\"0.17\", expect_size=\"38642688\"] \n  39 -> 40 [size =\"38642688\"]\n  40 [size=\"67143680\", alpha=\"0.16\", expect_size=\"33571840\"] \n  40 -> 41 [size =\"33571840\"]\n  41 [size=\"23148544\", alpha=\"0.17\", expect_size=\"11574272\"] \n  41 -> 42 [size =\"11574272\"]\n  42 [size=\"104374272\", alpha=\"0.14\", expect_size=\"52187136\"] \n  42 -> 43 [size =\"52187136\"]\n  43 [size=\"28317696\", alpha=\"0.05\", expect_size=\"14158848\"] \n  43 -> 44 [size =\"14158848\"]\n  44 [size=\"83023872\", alpha=\"0.17\", expect_size=\"41511936\"] \n  44 -> 45 [size =\"41511936\"]\n  45 [size=\"20064256\", alpha=\"0.17\", expect_size=\"10032128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21858304\", alpha=\"0.13\", expect_size=\"10929152\"] \n  1 -> 4 [size =\"10929152\"]\n  1 -> 5 [size =\"10929152\"]\n  1 -> 6 [size =\"10929152\"]\n  2 [size=\"69648384\", alpha=\"0.02\", expect_size=\"34824192\"] \n  3 [size=\"102871040\", alpha=\"0.11\", expect_size=\"51435520\"] \n  3 -> 4 [size =\"51435520\"]\n  3 -> 5 [size =\"51435520\"]\n  3 -> 6 [size =\"51435520\"]\n  4 [size=\"63592448\", alpha=\"0.20\", expect_size=\"31796224\"] \n  4 -> 8 [size =\"31796224\"]\n  4 -> 9 [size =\"31796224\"]\n  4 -> 11 [size =\"31796224\"]\n  4 -> 13 [size =\"31796224\"]\n  5 [size=\"28676096\", alpha=\"0.17\", expect_size=\"14338048\"] \n  5 -> 7 [size =\"14338048\"]\n  5 -> 10 [size =\"14338048\"]\n  5 -> 12 [size =\"14338048\"]\n  6 [size=\"70639616\", alpha=\"0.08\", expect_size=\"35319808\"] \n  6 -> 9 [size =\"35319808\"]\n  6 -> 10 [size =\"35319808\"]\n  7 [size=\"41437184\", alpha=\"0.02\", expect_size=\"20718592\"] \n  8 [size=\"51599360\", alpha=\"0.16\", expect_size=\"25799680\"] \n  9 [size=\"65902592\", alpha=\"0.15\", expect_size=\"32951296\"] \n  9 -> 14 [size =\"32951296\"]\n  9 -> 16 [size =\"32951296\"]\n  10 [size=\"69812224\", alpha=\"0.17\", expect_size=\"34906112\"] \n  10 -> 16 [size =\"34906112\"]\n  11 [size=\"39204864\", alpha=\"0.09\", expect_size=\"19602432\"] \n  12 [size=\"98523136\", alpha=\"0.06\", expect_size=\"49261568\"] \n  12 -> 15 [size =\"49261568\"]\n  13 [size=\"11659264\", alpha=\"0.02\", expect_size=\"5829632\"] \n  13 -> 14 [size =\"5829632\"]\n  13 -> 15 [size =\"5829632\"]\n  14 [size=\"61229056\", alpha=\"0.12\", expect_size=\"30614528\"] \n  14 -> 17 [size =\"30614528\"]\n  14 -> 18 [size =\"30614528\"]\n  14 -> 20 [size =\"30614528\"]\n  15 [size=\"60092416\", alpha=\"0.10\", expect_size=\"30046208\"] \n  15 -> 17 [size =\"30046208\"]\n  15 -> 18 [size =\"30046208\"]\n  15 -> 19 [size =\"30046208\"]\n  15 -> 22 [size =\"30046208\"]\n  15 -> 23 [size =\"30046208\"]\n  15 -> 24 [size =\"30046208\"]\n  16 [size=\"47099904\", alpha=\"0.16\", expect_size=\"23549952\"] \n  16 -> 19 [size =\"23549952\"]\n  16 -> 20 [size =\"23549952\"]\n  16 -> 21 [size =\"23549952\"]\n  17 [size=\"85426176\", alpha=\"0.03\", expect_size=\"42713088\"] \n  17 -> 26 [size =\"42713088\"]\n  17 -> 29 [size =\"42713088\"]\n  18 [size=\"95688704\", alpha=\"0.11\", expect_size=\"47844352\"] \n  18 -> 31 [size =\"47844352\"]\n  18 -> 32 [size =\"47844352\"]\n  19 [size=\"75702272\", alpha=\"0.17\", expect_size=\"37851136\"] \n  19 -> 30 [size =\"37851136\"]\n  19 -> 31 [size =\"37851136\"]\n  19 -> 32 [size =\"37851136\"]\n  20 [size=\"52293632\", alpha=\"0.08\", expect_size=\"26146816\"] \n  20 -> 25 [size =\"26146816\"]\n  20 -> 31 [size =\"26146816\"]\n  20 -> 32 [size =\"26146816\"]\n  21 [size=\"36220928\", alpha=\"0.02\", expect_size=\"18110464\"] \n  21 -> 27 [size =\"18110464\"]\n  21 -> 28 [size =\"18110464\"]\n  21 -> 30 [size =\"18110464\"]\n  22 [size=\"78745600\", alpha=\"0.08\", expect_size=\"39372800\"] \n  22 -> 25 [size =\"39372800\"]\n  22 -> 27 [size =\"39372800\"]\n  22 -> 30 [size =\"39372800\"]\n  22 -> 32 [size =\"39372800\"]\n  23 [size=\"13074432\", alpha=\"0.14\", expect_size=\"6537216\"] \n  23 -> 26 [size =\"6537216\"]\n  23 -> 27 [size =\"6537216\"]\n  24 [size=\"21008384\", alpha=\"0.11\", expect_size=\"10504192\"] \n  24 -> 25 [size =\"10504192\"]\n  24 -> 26 [size =\"10504192\"]\n  24 -> 27 [size =\"10504192\"]\n  24 -> 31 [size =\"10504192\"]\n  25 [size=\"78921728\", alpha=\"0.11\", expect_size=\"39460864\"] \n  25 -> 33 [size =\"39460864\"]\n  25 -> 34 [size =\"39460864\"]\n  25 -> 35 [size =\"39460864\"]\n  26 [size=\"32991232\", alpha=\"0.05\", expect_size=\"16495616\"] \n  27 [size=\"15835136\", alpha=\"0.05\", expect_size=\"7917568\"] \n  27 -> 34 [size =\"7917568\"]\n  28 [size=\"31365120\", alpha=\"0.14\", expect_size=\"15682560\"] \n  28 -> 33 [size =\"15682560\"]\n  29 [size=\"85100544\", alpha=\"0.15\", expect_size=\"42550272\"] \n  29 -> 33 [size =\"42550272\"]\n  30 [size=\"69226496\", alpha=\"0.08\", expect_size=\"34613248\"] \n  30 -> 34 [size =\"34613248\"]\n  30 -> 35 [size =\"34613248\"]\n  31 [size=\"12087296\", alpha=\"0.07\", expect_size=\"6043648\"] \n  31 -> 35 [size =\"6043648\"]\n  32 [size=\"19431424\", alpha=\"0.05\", expect_size=\"9715712\"] \n  32 -> 33 [size =\"9715712\"]\n  32 -> 34 [size =\"9715712\"]\n  33 [size=\"56047616\", alpha=\"0.04\", expect_size=\"28023808\"] \n  33 -> 36 [size =\"28023808\"]\n  33 -> 39 [size =\"28023808\"]\n  34 [size=\"25579520\", alpha=\"0.13\", expect_size=\"12789760\"] \n  34 -> 36 [size =\"12789760\"]\n  34 -> 37 [size =\"12789760\"]\n  34 -> 38 [size =\"12789760\"]\n  35 [size=\"75505664\", alpha=\"0.12\", expect_size=\"37752832\"] \n  35 -> 38 [size =\"37752832\"]\n  36 [size=\"35274752\", alpha=\"0.19\", expect_size=\"17637376\"] \n  36 -> 40 [size =\"17637376\"]\n  37 [size=\"59414528\", alpha=\"0.03\", expect_size=\"29707264\"] \n  37 -> 41 [size =\"29707264\"]\n  37 -> 42 [size =\"29707264\"]\n  38 [size=\"84502528\", alpha=\"0.04\", expect_size=\"42251264\"] \n  39 [size=\"57286656\", alpha=\"0.19\", expect_size=\"28643328\"] \n  39 -> 40 [size =\"28643328\"]\n  39 -> 41 [size =\"28643328\"]\n  40 [size=\"33179648\", alpha=\"0.03\", expect_size=\"16589824\"] \n  40 -> 43 [size =\"16589824\"]\n  40 -> 44 [size =\"16589824\"]\n  40 -> 45 [size =\"16589824\"]\n  41 [size=\"71512064\", alpha=\"0.12\", expect_size=\"35756032\"] \n  42 [size=\"12259328\", alpha=\"0.16\", expect_size=\"6129664\"] \n  42 -> 43 [size =\"6129664\"]\n  42 -> 45 [size =\"6129664\"]\n  43 [size=\"37834752\", alpha=\"0.00\", expect_size=\"18917376\"] \n  44 [size=\"55037952\", alpha=\"0.07\", expect_size=\"27518976\"] \n  45 [size=\"20242432\", alpha=\"0.08\", expect_size=\"10121216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61794987\", alpha=\"0.15\", expect_size=\"18538496\"] \n  1 -> 27 [size =\"18538496\"]\n  1 -> 30 [size =\"18538496\"]\n  1 -> 34 [size =\"18538496\"]\n  1 -> 36 [size =\"18538496\"]\n  1 -> 37 [size =\"18538496\"]\n  1 -> 39 [size =\"18538496\"]\n  1 -> 44 [size =\"18538496\"]\n  2 [size=\"159358293\", alpha=\"0.08\", expect_size=\"47807488\"] \n  2 -> 27 [size =\"47807488\"]\n  2 -> 33 [size =\"47807488\"]\n  2 -> 37 [size =\"47807488\"]\n  2 -> 39 [size =\"47807488\"]\n  2 -> 42 [size =\"47807488\"]\n  2 -> 43 [size =\"47807488\"]\n  2 -> 44 [size =\"47807488\"]\n  3 [size=\"46592000\", alpha=\"0.03\", expect_size=\"13977600\"] \n  3 -> 27 [size =\"13977600\"]\n  3 -> 30 [size =\"13977600\"]\n  3 -> 31 [size =\"13977600\"]\n  3 -> 44 [size =\"13977600\"]\n  3 -> 45 [size =\"13977600\"]\n  4 [size=\"165457920\", alpha=\"0.15\", expect_size=\"49637376\"] \n  4 -> 27 [size =\"49637376\"]\n  4 -> 28 [size =\"49637376\"]\n  4 -> 31 [size =\"49637376\"]\n  4 -> 34 [size =\"49637376\"]\n  4 -> 41 [size =\"49637376\"]\n  5 [size=\"148435627\", alpha=\"0.17\", expect_size=\"44530688\"] \n  5 -> 31 [size =\"44530688\"]\n  5 -> 34 [size =\"44530688\"]\n  5 -> 37 [size =\"44530688\"]\n  5 -> 38 [size =\"44530688\"]\n  5 -> 39 [size =\"44530688\"]\n  5 -> 41 [size =\"44530688\"]\n  5 -> 42 [size =\"44530688\"]\n  5 -> 43 [size =\"44530688\"]\n  5 -> 44 [size =\"44530688\"]\n  5 -> 45 [size =\"44530688\"]\n  6 [size=\"65317547\", alpha=\"0.18\", expect_size=\"19595264\"] \n  6 -> 29 [size =\"19595264\"]\n  6 -> 30 [size =\"19595264\"]\n  6 -> 34 [size =\"19595264\"]\n  6 -> 36 [size =\"19595264\"]\n  6 -> 41 [size =\"19595264\"]\n  6 -> 43 [size =\"19595264\"]\n  7 [size=\"44195840\", alpha=\"0.02\", expect_size=\"13258752\"] \n  7 -> 27 [size =\"13258752\"]\n  7 -> 29 [size =\"13258752\"]\n  7 -> 30 [size =\"13258752\"]\n  7 -> 32 [size =\"13258752\"]\n  7 -> 36 [size =\"13258752\"]\n  7 -> 37 [size =\"13258752\"]\n  7 -> 43 [size =\"13258752\"]\n  8 [size=\"39072427\", alpha=\"0.02\", expect_size=\"11721728\"] \n  8 -> 31 [size =\"11721728\"]\n  8 -> 32 [size =\"11721728\"]\n  8 -> 33 [size =\"11721728\"]\n  8 -> 35 [size =\"11721728\"]\n  8 -> 37 [size =\"11721728\"]\n  8 -> 38 [size =\"11721728\"]\n  8 -> 42 [size =\"11721728\"]\n  8 -> 43 [size =\"11721728\"]\n  9 [size=\"52056747\", alpha=\"0.00\", expect_size=\"15617024\"] \n  9 -> 27 [size =\"15617024\"]\n  9 -> 32 [size =\"15617024\"]\n  9 -> 38 [size =\"15617024\"]\n  9 -> 41 [size =\"15617024\"]\n  9 -> 43 [size =\"15617024\"]\n  10 [size=\"169966933\", alpha=\"0.07\", expect_size=\"50990080\"] \n  10 -> 26 [size =\"50990080\"]\n  10 -> 36 [size =\"50990080\"]\n  10 -> 38 [size =\"50990080\"]\n  10 -> 42 [size =\"50990080\"]\n  10 -> 43 [size =\"50990080\"]\n  10 -> 44 [size =\"50990080\"]\n  11 [size=\"151825067\", alpha=\"0.02\", expect_size=\"45547520\"] \n  11 -> 28 [size =\"45547520\"]\n  11 -> 31 [size =\"45547520\"]\n  11 -> 34 [size =\"45547520\"]\n  11 -> 38 [size =\"45547520\"]\n  11 -> 44 [size =\"45547520\"]\n  11 -> 45 [size =\"45547520\"]\n  12 [size=\"108680533\", alpha=\"0.18\", expect_size=\"32604160\"] \n  12 -> 30 [size =\"32604160\"]\n  12 -> 37 [size =\"32604160\"]\n  12 -> 38 [size =\"32604160\"]\n  12 -> 41 [size =\"32604160\"]\n  12 -> 42 [size =\"32604160\"]\n  13 [size=\"170096640\", alpha=\"0.04\", expect_size=\"51028992\"] \n  13 -> 30 [size =\"51028992\"]\n  13 -> 38 [size =\"51028992\"]\n  14 [size=\"34737493\", alpha=\"0.13\", expect_size=\"10421248\"] \n  14 -> 27 [size =\"10421248\"]\n  14 -> 31 [size =\"10421248\"]\n  14 -> 36 [size =\"10421248\"]\n  14 -> 37 [size =\"10421248\"]\n  14 -> 41 [size =\"10421248\"]\n  14 -> 42 [size =\"10421248\"]\n  14 -> 43 [size =\"10421248\"]\n  15 [size=\"149592747\", alpha=\"0.13\", expect_size=\"44877824\"] \n  15 -> 25 [size =\"44877824\"]\n  15 -> 27 [size =\"44877824\"]\n  15 -> 31 [size =\"44877824\"]\n  15 -> 32 [size =\"44877824\"]\n  15 -> 40 [size =\"44877824\"]\n  15 -> 42 [size =\"44877824\"]\n  15 -> 44 [size =\"44877824\"]\n  15 -> 45 [size =\"44877824\"]\n  16 [size=\"124682240\", alpha=\"0.11\", expect_size=\"37404672\"] \n  16 -> 27 [size =\"37404672\"]\n  16 -> 31 [size =\"37404672\"]\n  16 -> 33 [size =\"37404672\"]\n  16 -> 34 [size =\"37404672\"]\n  16 -> 36 [size =\"37404672\"]\n  16 -> 39 [size =\"37404672\"]\n  16 -> 41 [size =\"37404672\"]\n  17 [size=\"106656427\", alpha=\"0.13\", expect_size=\"31996928\"] \n  17 -> 28 [size =\"31996928\"]\n  17 -> 30 [size =\"31996928\"]\n  17 -> 31 [size =\"31996928\"]\n  17 -> 33 [size =\"31996928\"]\n  17 -> 34 [size =\"31996928\"]\n  17 -> 37 [size =\"31996928\"]\n  17 -> 42 [size =\"31996928\"]\n  17 -> 44 [size =\"31996928\"]\n  18 [size=\"121856000\", alpha=\"0.09\", expect_size=\"36556800\"] \n  18 -> 32 [size =\"36556800\"]\n  18 -> 34 [size =\"36556800\"]\n  18 -> 35 [size =\"36556800\"]\n  18 -> 37 [size =\"36556800\"]\n  18 -> 42 [size =\"36556800\"]\n  18 -> 44 [size =\"36556800\"]\n  19 [size=\"136512853\", alpha=\"0.04\", expect_size=\"40953856\"] \n  19 -> 26 [size =\"40953856\"]\n  19 -> 27 [size =\"40953856\"]\n  19 -> 30 [size =\"40953856\"]\n  19 -> 31 [size =\"40953856\"]\n  19 -> 32 [size =\"40953856\"]\n  19 -> 42 [size =\"40953856\"]\n  20 [size=\"137881600\", alpha=\"0.01\", expect_size=\"41364480\"] \n  20 -> 31 [size =\"41364480\"]\n  20 -> 35 [size =\"41364480\"]\n  20 -> 37 [size =\"41364480\"]\n  20 -> 38 [size =\"41364480\"]\n  21 [size=\"32672427\", alpha=\"0.03\", expect_size=\"9801728\"] \n  21 -> 34 [size =\"9801728\"]\n  21 -> 37 [size =\"9801728\"]\n  21 -> 45 [size =\"9801728\"]\n  22 [size=\"51568640\", alpha=\"0.03\", expect_size=\"15470592\"] \n  22 -> 27 [size =\"15470592\"]\n  22 -> 33 [size =\"15470592\"]\n  22 -> 34 [size =\"15470592\"]\n  22 -> 35 [size =\"15470592\"]\n  22 -> 39 [size =\"15470592\"]\n  22 -> 41 [size =\"15470592\"]\n  22 -> 42 [size =\"15470592\"]\n  22 -> 45 [size =\"15470592\"]\n  23 [size=\"32713387\", alpha=\"0.07\", expect_size=\"9814016\"] \n  23 -> 30 [size =\"9814016\"]\n  23 -> 34 [size =\"9814016\"]\n  23 -> 37 [size =\"9814016\"]\n  23 -> 41 [size =\"9814016\"]\n  23 -> 42 [size =\"9814016\"]\n  23 -> 44 [size =\"9814016\"]\n  23 -> 45 [size =\"9814016\"]\n  23 -> 45 [size =\"9814016\"]\n  24 [size=\"67423573\", alpha=\"0.10\", expect_size=\"20227072\"] \n  24 -> 31 [size =\"20227072\"]\n  24 -> 32 [size =\"20227072\"]\n  24 -> 34 [size =\"20227072\"]\n  24 -> 36 [size =\"20227072\"]\n  25 [size=\"169076053\", alpha=\"0.09\", expect_size=\"50722816\"] \n  26 [size=\"112165547\", alpha=\"0.14\", expect_size=\"33649664\"] \n  27 [size=\"40048640\", alpha=\"0.03\", expect_size=\"12014592\"] \n  28 [size=\"138789547\", alpha=\"0.15\", expect_size=\"41636864\"] \n  29 [size=\"50257920\", alpha=\"0.11\", expect_size=\"15077376\"] \n  30 [size=\"84831573\", alpha=\"0.06\", expect_size=\"25449472\"] \n  31 [size=\"91675307\", alpha=\"0.18\", expect_size=\"27502592\"] \n  32 [size=\"115111253\", alpha=\"0.02\", expect_size=\"34533376\"] \n  33 [size=\"139735040\", alpha=\"0.06\", expect_size=\"41920512\"] \n  34 [size=\"37379413\", alpha=\"0.12\", expect_size=\"11213824\"] \n  35 [size=\"113312427\", alpha=\"0.14\", expect_size=\"33993728\"] \n  36 [size=\"26637653\", alpha=\"0.10\", expect_size=\"7991296\"] \n  37 [size=\"139769173\", alpha=\"0.17\", expect_size=\"41930752\"] \n  38 [size=\"164857173\", alpha=\"0.18\", expect_size=\"49457152\"] \n  39 [size=\"123501227\", alpha=\"0.14\", expect_size=\"37050368\"] \n  40 [size=\"50281813\", alpha=\"0.05\", expect_size=\"15084544\"] \n  41 [size=\"97689600\", alpha=\"0.18\", expect_size=\"29306880\"] \n  42 [size=\"85504000\", alpha=\"0.15\", expect_size=\"25651200\"] \n  43 [size=\"104925867\", alpha=\"0.15\", expect_size=\"31477760\"] \n  44 [size=\"151296000\", alpha=\"0.00\", expect_size=\"45388800\"] \n  45 [size=\"84585813\", alpha=\"0.05\", expect_size=\"25375744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20162560\", alpha=\"0.18\", expect_size=\"10081280\"] \n  1 -> 32 [size =\"10081280\"]\n  1 -> 45 [size =\"10081280\"]\n  2 [size=\"22661120\", alpha=\"0.09\", expect_size=\"11330560\"] \n  2 -> 32 [size =\"11330560\"]\n  2 -> 33 [size =\"11330560\"]\n  2 -> 35 [size =\"11330560\"]\n  2 -> 36 [size =\"11330560\"]\n  2 -> 37 [size =\"11330560\"]\n  2 -> 40 [size =\"11330560\"]\n  2 -> 44 [size =\"11330560\"]\n  3 [size=\"45457408\", alpha=\"0.11\", expect_size=\"22728704\"] \n  3 -> 32 [size =\"22728704\"]\n  3 -> 36 [size =\"22728704\"]\n  3 -> 37 [size =\"22728704\"]\n  3 -> 45 [size =\"22728704\"]\n  4 [size=\"90128384\", alpha=\"0.13\", expect_size=\"45064192\"] \n  4 -> 32 [size =\"45064192\"]\n  4 -> 33 [size =\"45064192\"]\n  4 -> 34 [size =\"45064192\"]\n  4 -> 37 [size =\"45064192\"]\n  4 -> 39 [size =\"45064192\"]\n  4 -> 40 [size =\"45064192\"]\n  4 -> 42 [size =\"45064192\"]\n  4 -> 43 [size =\"45064192\"]\n  5 [size=\"59461632\", alpha=\"0.02\", expect_size=\"29730816\"] \n  5 -> 31 [size =\"29730816\"]\n  5 -> 32 [size =\"29730816\"]\n  5 -> 33 [size =\"29730816\"]\n  5 -> 40 [size =\"29730816\"]\n  5 -> 42 [size =\"29730816\"]\n  5 -> 43 [size =\"29730816\"]\n  6 [size=\"63569920\", alpha=\"0.06\", expect_size=\"31784960\"] \n  6 -> 32 [size =\"31784960\"]\n  6 -> 33 [size =\"31784960\"]\n  6 -> 40 [size =\"31784960\"]\n  6 -> 43 [size =\"31784960\"]\n  6 -> 44 [size =\"31784960\"]\n  7 [size=\"84979712\", alpha=\"0.04\", expect_size=\"42489856\"] \n  7 -> 37 [size =\"42489856\"]\n  7 -> 40 [size =\"42489856\"]\n  7 -> 42 [size =\"42489856\"]\n  7 -> 43 [size =\"42489856\"]\n  8 [size=\"60456960\", alpha=\"0.07\", expect_size=\"30228480\"] \n  8 -> 32 [size =\"30228480\"]\n  8 -> 33 [size =\"30228480\"]\n  8 -> 34 [size =\"30228480\"]\n  8 -> 37 [size =\"30228480\"]\n  8 -> 40 [size =\"30228480\"]\n  8 -> 41 [size =\"30228480\"]\n  8 -> 43 [size =\"30228480\"]\n  8 -> 44 [size =\"30228480\"]\n  9 [size=\"103997440\", alpha=\"0.06\", expect_size=\"51998720\"] \n  9 -> 32 [size =\"51998720\"]\n  9 -> 34 [size =\"51998720\"]\n  9 -> 39 [size =\"51998720\"]\n  9 -> 44 [size =\"51998720\"]\n  9 -> 45 [size =\"51998720\"]\n  10 [size=\"98783232\", alpha=\"0.16\", expect_size=\"49391616\"] \n  10 -> 31 [size =\"49391616\"]\n  10 -> 32 [size =\"49391616\"]\n  10 -> 38 [size =\"49391616\"]\n  11 [size=\"79726592\", alpha=\"0.03\", expect_size=\"39863296\"] \n  11 -> 32 [size =\"39863296\"]\n  11 -> 44 [size =\"39863296\"]\n  12 [size=\"70539264\", alpha=\"0.15\", expect_size=\"35269632\"] \n  12 -> 31 [size =\"35269632\"]\n  12 -> 39 [size =\"35269632\"]\n  12 -> 40 [size =\"35269632\"]\n  13 [size=\"17391616\", alpha=\"0.01\", expect_size=\"8695808\"] \n  13 -> 34 [size =\"8695808\"]\n  13 -> 37 [size =\"8695808\"]\n  14 [size=\"69621760\", alpha=\"0.08\", expect_size=\"34810880\"] \n  14 -> 32 [size =\"34810880\"]\n  14 -> 34 [size =\"34810880\"]\n  14 -> 42 [size =\"34810880\"]\n  15 [size=\"36972544\", alpha=\"0.17\", expect_size=\"18486272\"] \n  15 -> 33 [size =\"18486272\"]\n  15 -> 34 [size =\"18486272\"]\n  15 -> 35 [size =\"18486272\"]\n  15 -> 39 [size =\"18486272\"]\n  15 -> 41 [size =\"18486272\"]\n  15 -> 44 [size =\"18486272\"]\n  16 [size=\"44638208\", alpha=\"0.03\", expect_size=\"22319104\"] \n  16 -> 33 [size =\"22319104\"]\n  16 -> 37 [size =\"22319104\"]\n  16 -> 42 [size =\"22319104\"]\n  16 -> 44 [size =\"22319104\"]\n  17 [size=\"74864640\", alpha=\"0.18\", expect_size=\"37432320\"] \n  17 -> 35 [size =\"37432320\"]\n  17 -> 37 [size =\"37432320\"]\n  17 -> 40 [size =\"37432320\"]\n  17 -> 44 [size =\"37432320\"]\n  17 -> 45 [size =\"37432320\"]\n  18 [size=\"95258624\", alpha=\"0.01\", expect_size=\"47629312\"] \n  18 -> 32 [size =\"47629312\"]\n  18 -> 33 [size =\"47629312\"]\n  18 -> 39 [size =\"47629312\"]\n  18 -> 45 [size =\"47629312\"]\n  19 [size=\"36231168\", alpha=\"0.12\", expect_size=\"18115584\"] \n  19 -> 34 [size =\"18115584\"]\n  19 -> 35 [size =\"18115584\"]\n  19 -> 43 [size =\"18115584\"]\n  19 -> 45 [size =\"18115584\"]\n  20 [size=\"63315968\", alpha=\"0.12\", expect_size=\"31657984\"] \n  20 -> 36 [size =\"31657984\"]\n  20 -> 37 [size =\"31657984\"]\n  20 -> 43 [size =\"31657984\"]\n  20 -> 45 [size =\"31657984\"]\n  21 [size=\"46067712\", alpha=\"0.14\", expect_size=\"23033856\"] \n  21 -> 31 [size =\"23033856\"]\n  21 -> 34 [size =\"23033856\"]\n  21 -> 36 [size =\"23033856\"]\n  22 [size=\"60108800\", alpha=\"0.19\", expect_size=\"30054400\"] \n  22 -> 31 [size =\"30054400\"]\n  22 -> 33 [size =\"30054400\"]\n  22 -> 36 [size =\"30054400\"]\n  22 -> 43 [size =\"30054400\"]\n  22 -> 44 [size =\"30054400\"]\n  23 [size=\"36212736\", alpha=\"0.11\", expect_size=\"18106368\"] \n  23 -> 37 [size =\"18106368\"]\n  23 -> 45 [size =\"18106368\"]\n  24 [size=\"40341504\", alpha=\"0.20\", expect_size=\"20170752\"] \n  24 -> 33 [size =\"20170752\"]\n  24 -> 38 [size =\"20170752\"]\n  25 [size=\"77144064\", alpha=\"0.19\", expect_size=\"38572032\"] \n  25 -> 33 [size =\"38572032\"]\n  25 -> 38 [size =\"38572032\"]\n  25 -> 42 [size =\"38572032\"]\n  25 -> 43 [size =\"38572032\"]\n  25 -> 44 [size =\"38572032\"]\n  25 -> 45 [size =\"38572032\"]\n  26 [size=\"64747520\", alpha=\"0.10\", expect_size=\"32373760\"] \n  26 -> 31 [size =\"32373760\"]\n  26 -> 33 [size =\"32373760\"]\n  26 -> 43 [size =\"32373760\"]\n  26 -> 44 [size =\"32373760\"]\n  26 -> 45 [size =\"32373760\"]\n  27 [size=\"78309376\", alpha=\"0.16\", expect_size=\"39154688\"] \n  27 -> 37 [size =\"39154688\"]\n  27 -> 40 [size =\"39154688\"]\n  28 [size=\"68126720\", alpha=\"0.13\", expect_size=\"34063360\"] \n  28 -> 45 [size =\"34063360\"]\n  29 [size=\"72073216\", alpha=\"0.10\", expect_size=\"36036608\"] \n  29 -> 36 [size =\"36036608\"]\n  29 -> 38 [size =\"36036608\"]\n  29 -> 40 [size =\"36036608\"]\n  29 -> 42 [size =\"36036608\"]\n  29 -> 43 [size =\"36036608\"]\n  29 -> 44 [size =\"36036608\"]\n  30 [size=\"36540416\", alpha=\"0.05\", expect_size=\"18270208\"] \n  30 -> 32 [size =\"18270208\"]\n  30 -> 34 [size =\"18270208\"]\n  30 -> 38 [size =\"18270208\"]\n  31 [size=\"95238144\", alpha=\"0.15\", expect_size=\"47619072\"] \n  32 [size=\"69103616\", alpha=\"0.18\", expect_size=\"34551808\"] \n  33 [size=\"64681984\", alpha=\"0.02\", expect_size=\"32340992\"] \n  34 [size=\"22575104\", alpha=\"0.19\", expect_size=\"11287552\"] \n  35 [size=\"22423552\", alpha=\"0.02\", expect_size=\"11211776\"] \n  36 [size=\"18837504\", alpha=\"0.11\", expect_size=\"9418752\"] \n  37 [size=\"64894976\", alpha=\"0.15\", expect_size=\"32447488\"] \n  38 [size=\"46354432\", alpha=\"0.16\", expect_size=\"23177216\"] \n  39 [size=\"13182976\", alpha=\"0.03\", expect_size=\"6591488\"] \n  40 [size=\"58896384\", alpha=\"0.01\", expect_size=\"29448192\"] \n  41 [size=\"83050496\", alpha=\"0.06\", expect_size=\"41525248\"] \n  42 [size=\"60516352\", alpha=\"0.02\", expect_size=\"30258176\"] \n  43 [size=\"51347456\", alpha=\"0.04\", expect_size=\"25673728\"] \n  44 [size=\"62449664\", alpha=\"0.11\", expect_size=\"31224832\"] \n  45 [size=\"58591232\", alpha=\"0.13\", expect_size=\"29295616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67858432\", alpha=\"0.10\", expect_size=\"33929216\"] \n  1 -> 2 [size =\"33929216\"]\n  2 [size=\"50876416\", alpha=\"0.04\", expect_size=\"25438208\"] \n  2 -> 3 [size =\"25438208\"]\n  3 [size=\"31928320\", alpha=\"0.04\", expect_size=\"15964160\"] \n  3 -> 4 [size =\"15964160\"]\n  4 [size=\"65986560\", alpha=\"0.04\", expect_size=\"32993280\"] \n  4 -> 5 [size =\"32993280\"]\n  5 [size=\"77012992\", alpha=\"0.18\", expect_size=\"38506496\"] \n  5 -> 6 [size =\"38506496\"]\n  6 [size=\"83621888\", alpha=\"0.12\", expect_size=\"41810944\"] \n  6 -> 7 [size =\"41810944\"]\n  7 [size=\"62427136\", alpha=\"0.05\", expect_size=\"31213568\"] \n  7 -> 8 [size =\"31213568\"]\n  8 [size=\"49479680\", alpha=\"0.07\", expect_size=\"24739840\"] \n  8 -> 9 [size =\"24739840\"]\n  9 [size=\"33992704\", alpha=\"0.09\", expect_size=\"16996352\"] \n  9 -> 10 [size =\"16996352\"]\n  10 [size=\"79816704\", alpha=\"0.06\", expect_size=\"39908352\"] \n  10 -> 11 [size =\"39908352\"]\n  11 [size=\"61820928\", alpha=\"0.01\", expect_size=\"30910464\"] \n  11 -> 12 [size =\"30910464\"]\n  12 [size=\"14870528\", alpha=\"0.01\", expect_size=\"7435264\"] \n  12 -> 13 [size =\"7435264\"]\n  13 [size=\"33572864\", alpha=\"0.06\", expect_size=\"16786432\"] \n  13 -> 14 [size =\"16786432\"]\n  14 [size=\"51025920\", alpha=\"0.05\", expect_size=\"25512960\"] \n  14 -> 15 [size =\"25512960\"]\n  15 [size=\"71688192\", alpha=\"0.17\", expect_size=\"35844096\"] \n  15 -> 16 [size =\"35844096\"]\n  16 [size=\"61511680\", alpha=\"0.00\", expect_size=\"30755840\"] \n  16 -> 17 [size =\"30755840\"]\n  17 [size=\"23887872\", alpha=\"0.02\", expect_size=\"11943936\"] \n  17 -> 18 [size =\"11943936\"]\n  18 [size=\"46159872\", alpha=\"0.19\", expect_size=\"23079936\"] \n  18 -> 19 [size =\"23079936\"]\n  19 [size=\"79032320\", alpha=\"0.16\", expect_size=\"39516160\"] \n  19 -> 20 [size =\"39516160\"]\n  20 [size=\"28573696\", alpha=\"0.10\", expect_size=\"14286848\"] \n  20 -> 21 [size =\"14286848\"]\n  21 [size=\"57300992\", alpha=\"0.16\", expect_size=\"28650496\"] \n  21 -> 22 [size =\"28650496\"]\n  22 [size=\"61761536\", alpha=\"0.10\", expect_size=\"30880768\"] \n  22 -> 23 [size =\"30880768\"]\n  23 [size=\"68470784\", alpha=\"0.09\", expect_size=\"34235392\"] \n  23 -> 24 [size =\"34235392\"]\n  24 [size=\"94806016\", alpha=\"0.20\", expect_size=\"47403008\"] \n  24 -> 25 [size =\"47403008\"]\n  25 [size=\"23341056\", alpha=\"0.05\", expect_size=\"11670528\"] \n  25 -> 26 [size =\"11670528\"]\n  26 [size=\"10534912\", alpha=\"0.05\", expect_size=\"5267456\"] \n  26 -> 27 [size =\"5267456\"]\n  27 [size=\"12644352\", alpha=\"0.16\", expect_size=\"6322176\"] \n  27 -> 28 [size =\"6322176\"]\n  28 [size=\"22016000\", alpha=\"0.16\", expect_size=\"11008000\"] \n  28 -> 29 [size =\"11008000\"]\n  29 [size=\"15732736\", alpha=\"0.00\", expect_size=\"7866368\"] \n  29 -> 30 [size =\"7866368\"]\n  30 [size=\"92532736\", alpha=\"0.19\", expect_size=\"46266368\"] \n  30 -> 31 [size =\"46266368\"]\n  31 [size=\"45033472\", alpha=\"0.10\", expect_size=\"22516736\"] \n  31 -> 32 [size =\"22516736\"]\n  32 [size=\"24979456\", alpha=\"0.01\", expect_size=\"12489728\"] \n  32 -> 33 [size =\"12489728\"]\n  33 [size=\"72761344\", alpha=\"0.16\", expect_size=\"36380672\"] \n  33 -> 34 [size =\"36380672\"]\n  34 [size=\"21080064\", alpha=\"0.01\", expect_size=\"10540032\"] \n  34 -> 35 [size =\"10540032\"]\n  35 [size=\"19808256\", alpha=\"0.19\", expect_size=\"9904128\"] \n  35 -> 36 [size =\"9904128\"]\n  36 [size=\"41101312\", alpha=\"0.07\", expect_size=\"20550656\"] \n  36 -> 37 [size =\"20550656\"]\n  37 [size=\"63723520\", alpha=\"0.18\", expect_size=\"31861760\"] \n  37 -> 38 [size =\"31861760\"]\n  38 [size=\"45246464\", alpha=\"0.17\", expect_size=\"22623232\"] \n  38 -> 39 [size =\"22623232\"]\n  39 [size=\"24664064\", alpha=\"0.10\", expect_size=\"12332032\"] \n  39 -> 40 [size =\"12332032\"]\n  40 [size=\"25487360\", alpha=\"0.07\", expect_size=\"12743680\"] \n  40 -> 41 [size =\"12743680\"]\n  41 [size=\"22677504\", alpha=\"0.14\", expect_size=\"11338752\"] \n  41 -> 42 [size =\"11338752\"]\n  42 [size=\"67567616\", alpha=\"0.12\", expect_size=\"33783808\"] \n  42 -> 43 [size =\"33783808\"]\n  43 [size=\"70172672\", alpha=\"0.02\", expect_size=\"35086336\"] \n  43 -> 44 [size =\"35086336\"]\n  44 [size=\"53579776\", alpha=\"0.10\", expect_size=\"26789888\"] \n  44 -> 45 [size =\"26789888\"]\n  45 [size=\"58333184\", alpha=\"0.01\", expect_size=\"29166592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100296704\", alpha=\"0.04\", expect_size=\"50148352\"] \n  1 -> 16 [size =\"50148352\"]\n  2 [size=\"16029696\", alpha=\"0.03\", expect_size=\"8014848\"] \n  2 -> 12 [size =\"8014848\"]\n  2 -> 13 [size =\"8014848\"]\n  2 -> 14 [size =\"8014848\"]\n  3 [size=\"73101312\", alpha=\"0.10\", expect_size=\"36550656\"] \n  3 -> 12 [size =\"36550656\"]\n  3 -> 13 [size =\"36550656\"]\n  4 [size=\"50249728\", alpha=\"0.06\", expect_size=\"25124864\"] \n  4 -> 11 [size =\"25124864\"]\n  4 -> 12 [size =\"25124864\"]\n  4 -> 13 [size =\"25124864\"]\n  4 -> 14 [size =\"25124864\"]\n  5 [size=\"15165440\", alpha=\"0.13\", expect_size=\"7582720\"] \n  5 -> 14 [size =\"7582720\"]\n  5 -> 16 [size =\"7582720\"]\n  6 [size=\"58755072\", alpha=\"0.06\", expect_size=\"29377536\"] \n  6 -> 12 [size =\"29377536\"]\n  6 -> 13 [size =\"29377536\"]\n  6 -> 14 [size =\"29377536\"]\n  6 -> 16 [size =\"29377536\"]\n  7 [size=\"93853696\", alpha=\"0.04\", expect_size=\"46926848\"] \n  7 -> 14 [size =\"46926848\"]\n  7 -> 15 [size =\"46926848\"]\n  7 -> 16 [size =\"46926848\"]\n  7 -> 16 [size =\"46926848\"]\n  8 [size=\"103182336\", alpha=\"0.01\", expect_size=\"51591168\"] \n  8 -> 12 [size =\"51591168\"]\n  8 -> 13 [size =\"51591168\"]\n  8 -> 14 [size =\"51591168\"]\n  9 [size=\"90361856\", alpha=\"0.15\", expect_size=\"45180928\"] \n  9 -> 13 [size =\"45180928\"]\n  9 -> 15 [size =\"45180928\"]\n  9 -> 17 [size =\"45180928\"]\n  10 [size=\"19662848\", alpha=\"0.15\", expect_size=\"9831424\"] \n  10 -> 11 [size =\"9831424\"]\n  10 -> 13 [size =\"9831424\"]\n  10 -> 14 [size =\"9831424\"]\n  10 -> 15 [size =\"9831424\"]\n  11 [size=\"72853504\", alpha=\"0.00\", expect_size=\"36426752\"] \n  11 -> 19 [size =\"36426752\"]\n  11 -> 23 [size =\"36426752\"]\n  11 -> 27 [size =\"36426752\"]\n  11 -> 28 [size =\"36426752\"]\n  11 -> 29 [size =\"36426752\"]\n  11 -> 30 [size =\"36426752\"]\n  11 -> 31 [size =\"36426752\"]\n  11 -> 33 [size =\"36426752\"]\n  11 -> 34 [size =\"36426752\"]\n  11 -> 35 [size =\"36426752\"]\n  11 -> 37 [size =\"36426752\"]\n  12 [size=\"91463680\", alpha=\"0.18\", expect_size=\"45731840\"] \n  12 -> 18 [size =\"45731840\"]\n  12 -> 20 [size =\"45731840\"]\n  12 -> 25 [size =\"45731840\"]\n  12 -> 27 [size =\"45731840\"]\n  12 -> 28 [size =\"45731840\"]\n  12 -> 29 [size =\"45731840\"]\n  12 -> 33 [size =\"45731840\"]\n  12 -> 34 [size =\"45731840\"]\n  12 -> 34 [size =\"45731840\"]\n  13 [size=\"13242368\", alpha=\"0.20\", expect_size=\"6621184\"] \n  13 -> 18 [size =\"6621184\"]\n  13 -> 28 [size =\"6621184\"]\n  13 -> 32 [size =\"6621184\"]\n  13 -> 33 [size =\"6621184\"]\n  13 -> 34 [size =\"6621184\"]\n  13 -> 35 [size =\"6621184\"]\n  14 [size=\"62435328\", alpha=\"0.15\", expect_size=\"31217664\"] \n  14 -> 23 [size =\"31217664\"]\n  14 -> 28 [size =\"31217664\"]\n  14 -> 29 [size =\"31217664\"]\n  14 -> 30 [size =\"31217664\"]\n  14 -> 31 [size =\"31217664\"]\n  14 -> 35 [size =\"31217664\"]\n  14 -> 37 [size =\"31217664\"]\n  15 [size=\"92540928\", alpha=\"0.02\", expect_size=\"46270464\"] \n  15 -> 20 [size =\"46270464\"]\n  15 -> 21 [size =\"46270464\"]\n  15 -> 23 [size =\"46270464\"]\n  15 -> 24 [size =\"46270464\"]\n  15 -> 26 [size =\"46270464\"]\n  15 -> 28 [size =\"46270464\"]\n  15 -> 30 [size =\"46270464\"]\n  15 -> 31 [size =\"46270464\"]\n  15 -> 32 [size =\"46270464\"]\n  15 -> 34 [size =\"46270464\"]\n  15 -> 37 [size =\"46270464\"]\n  16 [size=\"60698624\", alpha=\"0.01\", expect_size=\"30349312\"] \n  16 -> 19 [size =\"30349312\"]\n  16 -> 22 [size =\"30349312\"]\n  16 -> 27 [size =\"30349312\"]\n  16 -> 28 [size =\"30349312\"]\n  16 -> 29 [size =\"30349312\"]\n  16 -> 30 [size =\"30349312\"]\n  16 -> 30 [size =\"30349312\"]\n  16 -> 33 [size =\"30349312\"]\n  16 -> 37 [size =\"30349312\"]\n  17 [size=\"87773184\", alpha=\"0.13\", expect_size=\"43886592\"] \n  17 -> 20 [size =\"43886592\"]\n  17 -> 21 [size =\"43886592\"]\n  17 -> 27 [size =\"43886592\"]\n  17 -> 28 [size =\"43886592\"]\n  17 -> 29 [size =\"43886592\"]\n  17 -> 30 [size =\"43886592\"]\n  17 -> 34 [size =\"43886592\"]\n  17 -> 36 [size =\"43886592\"]\n  17 -> 37 [size =\"43886592\"]\n  18 [size=\"13027328\", alpha=\"0.13\", expect_size=\"6513664\"] \n  18 -> 38 [size =\"6513664\"]\n  18 -> 40 [size =\"6513664\"]\n  18 -> 42 [size =\"6513664\"]\n  18 -> 45 [size =\"6513664\"]\n  19 [size=\"16848896\", alpha=\"0.07\", expect_size=\"8424448\"] \n  19 -> 38 [size =\"8424448\"]\n  19 -> 39 [size =\"8424448\"]\n  20 [size=\"88391680\", alpha=\"0.01\", expect_size=\"44195840\"] \n  20 -> 38 [size =\"44195840\"]\n  20 -> 39 [size =\"44195840\"]\n  20 -> 40 [size =\"44195840\"]\n  20 -> 42 [size =\"44195840\"]\n  21 [size=\"64178176\", alpha=\"0.14\", expect_size=\"32089088\"] \n  21 -> 38 [size =\"32089088\"]\n  21 -> 39 [size =\"32089088\"]\n  21 -> 41 [size =\"32089088\"]\n  21 -> 42 [size =\"32089088\"]\n  21 -> 45 [size =\"32089088\"]\n  22 [size=\"66076672\", alpha=\"0.09\", expect_size=\"33038336\"] \n  22 -> 38 [size =\"33038336\"]\n  22 -> 39 [size =\"33038336\"]\n  22 -> 41 [size =\"33038336\"]\n  22 -> 42 [size =\"33038336\"]\n  23 [size=\"58193920\", alpha=\"0.17\", expect_size=\"29096960\"] \n  23 -> 38 [size =\"29096960\"]\n  23 -> 42 [size =\"29096960\"]\n  23 -> 45 [size =\"29096960\"]\n  24 [size=\"57411584\", alpha=\"0.13\", expect_size=\"28705792\"] \n  24 -> 38 [size =\"28705792\"]\n  24 -> 39 [size =\"28705792\"]\n  24 -> 41 [size =\"28705792\"]\n  24 -> 42 [size =\"28705792\"]\n  25 [size=\"36136960\", alpha=\"0.10\", expect_size=\"18068480\"] \n  25 -> 39 [size =\"18068480\"]\n  25 -> 39 [size =\"18068480\"]\n  25 -> 42 [size =\"18068480\"]\n  25 -> 42 [size =\"18068480\"]\n  25 -> 45 [size =\"18068480\"]\n  26 [size=\"47085568\", alpha=\"0.17\", expect_size=\"23542784\"] \n  26 -> 38 [size =\"23542784\"]\n  26 -> 39 [size =\"23542784\"]\n  26 -> 42 [size =\"23542784\"]\n  27 [size=\"51920896\", alpha=\"0.02\", expect_size=\"25960448\"] \n  27 -> 38 [size =\"25960448\"]\n  27 -> 39 [size =\"25960448\"]\n  27 -> 42 [size =\"25960448\"]\n  27 -> 44 [size =\"25960448\"]\n  28 [size=\"18298880\", alpha=\"0.07\", expect_size=\"9149440\"] \n  28 -> 41 [size =\"9149440\"]\n  28 -> 42 [size =\"9149440\"]\n  28 -> 43 [size =\"9149440\"]\n  29 [size=\"81264640\", alpha=\"0.08\", expect_size=\"40632320\"] \n  29 -> 40 [size =\"40632320\"]\n  29 -> 43 [size =\"40632320\"]\n  29 -> 44 [size =\"40632320\"]\n  30 [size=\"19857408\", alpha=\"0.12\", expect_size=\"9928704\"] \n  30 -> 39 [size =\"9928704\"]\n  30 -> 40 [size =\"9928704\"]\n  30 -> 44 [size =\"9928704\"]\n  31 [size=\"25499648\", alpha=\"0.09\", expect_size=\"12749824\"] \n  31 -> 39 [size =\"12749824\"]\n  31 -> 41 [size =\"12749824\"]\n  31 -> 42 [size =\"12749824\"]\n  31 -> 43 [size =\"12749824\"]\n  32 [size=\"93630464\", alpha=\"0.03\", expect_size=\"46815232\"] \n  32 -> 38 [size =\"46815232\"]\n  32 -> 39 [size =\"46815232\"]\n  32 -> 42 [size =\"46815232\"]\n  32 -> 44 [size =\"46815232\"]\n  33 [size=\"41052160\", alpha=\"0.17\", expect_size=\"20526080\"] \n  33 -> 39 [size =\"20526080\"]\n  33 -> 39 [size =\"20526080\"]\n  33 -> 42 [size =\"20526080\"]\n  34 [size=\"24752128\", alpha=\"0.03\", expect_size=\"12376064\"] \n  34 -> 38 [size =\"12376064\"]\n  34 -> 39 [size =\"12376064\"]\n  34 -> 41 [size =\"12376064\"]\n  34 -> 42 [size =\"12376064\"]\n  34 -> 43 [size =\"12376064\"]\n  34 -> 45 [size =\"12376064\"]\n  35 [size=\"84496384\", alpha=\"0.05\", expect_size=\"42248192\"] \n  35 -> 38 [size =\"42248192\"]\n  35 -> 40 [size =\"42248192\"]\n  35 -> 41 [size =\"42248192\"]\n  35 -> 42 [size =\"42248192\"]\n  35 -> 43 [size =\"42248192\"]\n  36 [size=\"36222976\", alpha=\"0.19\", expect_size=\"18111488\"] \n  36 -> 38 [size =\"18111488\"]\n  36 -> 40 [size =\"18111488\"]\n  36 -> 41 [size =\"18111488\"]\n  36 -> 42 [size =\"18111488\"]\n  36 -> 44 [size =\"18111488\"]\n  37 [size=\"22573056\", alpha=\"0.09\", expect_size=\"11286528\"] \n  37 -> 38 [size =\"11286528\"]\n  37 -> 39 [size =\"11286528\"]\n  37 -> 40 [size =\"11286528\"]\n  37 -> 41 [size =\"11286528\"]\n  37 -> 42 [size =\"11286528\"]\n  38 [size=\"32542720\", alpha=\"0.19\", expect_size=\"16271360\"] \n  39 [size=\"64458752\", alpha=\"0.11\", expect_size=\"32229376\"] \n  40 [size=\"103827456\", alpha=\"0.19\", expect_size=\"51913728\"] \n  41 [size=\"65454080\", alpha=\"0.19\", expect_size=\"32727040\"] \n  42 [size=\"11710464\", alpha=\"0.11\", expect_size=\"5855232\"] \n  43 [size=\"23574528\", alpha=\"0.12\", expect_size=\"11787264\"] \n  44 [size=\"103802880\", alpha=\"0.04\", expect_size=\"51901440\"] \n  45 [size=\"21233664\", alpha=\"0.01\", expect_size=\"10616832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30240768\", alpha=\"0.15\", expect_size=\"15120384\"] \n  1 -> 22 [size =\"15120384\"]\n  1 -> 30 [size =\"15120384\"]\n  1 -> 33 [size =\"15120384\"]\n  1 -> 34 [size =\"15120384\"]\n  1 -> 35 [size =\"15120384\"]\n  1 -> 36 [size =\"15120384\"]\n  1 -> 38 [size =\"15120384\"]\n  2 [size=\"50673664\", alpha=\"0.00\", expect_size=\"25336832\"] \n  2 -> 24 [size =\"25336832\"]\n  2 -> 28 [size =\"25336832\"]\n  2 -> 30 [size =\"25336832\"]\n  2 -> 33 [size =\"25336832\"]\n  2 -> 35 [size =\"25336832\"]\n  2 -> 36 [size =\"25336832\"]\n  2 -> 38 [size =\"25336832\"]\n  3 [size=\"43376640\", alpha=\"0.08\", expect_size=\"21688320\"] \n  3 -> 26 [size =\"21688320\"]\n  3 -> 28 [size =\"21688320\"]\n  3 -> 29 [size =\"21688320\"]\n  3 -> 30 [size =\"21688320\"]\n  3 -> 32 [size =\"21688320\"]\n  3 -> 33 [size =\"21688320\"]\n  3 -> 35 [size =\"21688320\"]\n  3 -> 38 [size =\"21688320\"]\n  4 [size=\"89159680\", alpha=\"0.16\", expect_size=\"44579840\"] \n  4 -> 22 [size =\"44579840\"]\n  4 -> 23 [size =\"44579840\"]\n  4 -> 27 [size =\"44579840\"]\n  4 -> 28 [size =\"44579840\"]\n  4 -> 32 [size =\"44579840\"]\n  4 -> 33 [size =\"44579840\"]\n  4 -> 36 [size =\"44579840\"]\n  5 [size=\"34101248\", alpha=\"0.08\", expect_size=\"17050624\"] \n  5 -> 22 [size =\"17050624\"]\n  5 -> 27 [size =\"17050624\"]\n  5 -> 28 [size =\"17050624\"]\n  5 -> 29 [size =\"17050624\"]\n  5 -> 30 [size =\"17050624\"]\n  5 -> 31 [size =\"17050624\"]\n  5 -> 32 [size =\"17050624\"]\n  5 -> 33 [size =\"17050624\"]\n  5 -> 35 [size =\"17050624\"]\n  5 -> 36 [size =\"17050624\"]\n  5 -> 37 [size =\"17050624\"]\n  5 -> 38 [size =\"17050624\"]\n  6 [size=\"16504832\", alpha=\"0.02\", expect_size=\"8252416\"] \n  6 -> 25 [size =\"8252416\"]\n  6 -> 27 [size =\"8252416\"]\n  6 -> 29 [size =\"8252416\"]\n  6 -> 30 [size =\"8252416\"]\n  6 -> 31 [size =\"8252416\"]\n  6 -> 32 [size =\"8252416\"]\n  6 -> 33 [size =\"8252416\"]\n  6 -> 34 [size =\"8252416\"]\n  6 -> 35 [size =\"8252416\"]\n  6 -> 36 [size =\"8252416\"]\n  6 -> 37 [size =\"8252416\"]\n  6 -> 38 [size =\"8252416\"]\n  7 [size=\"49514496\", alpha=\"0.17\", expect_size=\"24757248\"] \n  7 -> 22 [size =\"24757248\"]\n  7 -> 25 [size =\"24757248\"]\n  7 -> 27 [size =\"24757248\"]\n  7 -> 29 [size =\"24757248\"]\n  7 -> 30 [size =\"24757248\"]\n  7 -> 35 [size =\"24757248\"]\n  7 -> 36 [size =\"24757248\"]\n  7 -> 38 [size =\"24757248\"]\n  8 [size=\"75565056\", alpha=\"0.20\", expect_size=\"37782528\"] \n  8 -> 25 [size =\"37782528\"]\n  8 -> 26 [size =\"37782528\"]\n  8 -> 27 [size =\"37782528\"]\n  8 -> 28 [size =\"37782528\"]\n  8 -> 35 [size =\"37782528\"]\n  8 -> 37 [size =\"37782528\"]\n  9 [size=\"101001216\", alpha=\"0.17\", expect_size=\"50500608\"] \n  9 -> 22 [size =\"50500608\"]\n  9 -> 23 [size =\"50500608\"]\n  9 -> 24 [size =\"50500608\"]\n  9 -> 25 [size =\"50500608\"]\n  9 -> 26 [size =\"50500608\"]\n  9 -> 27 [size =\"50500608\"]\n  9 -> 30 [size =\"50500608\"]\n  9 -> 32 [size =\"50500608\"]\n  9 -> 36 [size =\"50500608\"]\n  9 -> 37 [size =\"50500608\"]\n  10 [size=\"59951104\", alpha=\"0.14\", expect_size=\"29975552\"] \n  10 -> 21 [size =\"29975552\"]\n  10 -> 22 [size =\"29975552\"]\n  10 -> 23 [size =\"29975552\"]\n  10 -> 26 [size =\"29975552\"]\n  10 -> 27 [size =\"29975552\"]\n  10 -> 32 [size =\"29975552\"]\n  10 -> 33 [size =\"29975552\"]\n  10 -> 35 [size =\"29975552\"]\n  10 -> 36 [size =\"29975552\"]\n  10 -> 39 [size =\"29975552\"]\n  11 [size=\"22048768\", alpha=\"0.11\", expect_size=\"11024384\"] \n  11 -> 22 [size =\"11024384\"]\n  11 -> 22 [size =\"11024384\"]\n  11 -> 23 [size =\"11024384\"]\n  11 -> 24 [size =\"11024384\"]\n  11 -> 26 [size =\"11024384\"]\n  11 -> 27 [size =\"11024384\"]\n  11 -> 30 [size =\"11024384\"]\n  11 -> 31 [size =\"11024384\"]\n  11 -> 33 [size =\"11024384\"]\n  11 -> 35 [size =\"11024384\"]\n  12 [size=\"90730496\", alpha=\"0.04\", expect_size=\"45365248\"] \n  12 -> 22 [size =\"45365248\"]\n  12 -> 26 [size =\"45365248\"]\n  12 -> 28 [size =\"45365248\"]\n  12 -> 30 [size =\"45365248\"]\n  12 -> 33 [size =\"45365248\"]\n  12 -> 35 [size =\"45365248\"]\n  12 -> 37 [size =\"45365248\"]\n  12 -> 39 [size =\"45365248\"]\n  13 [size=\"92510208\", alpha=\"0.08\", expect_size=\"46255104\"] \n  13 -> 24 [size =\"46255104\"]\n  13 -> 25 [size =\"46255104\"]\n  13 -> 26 [size =\"46255104\"]\n  13 -> 27 [size =\"46255104\"]\n  13 -> 30 [size =\"46255104\"]\n  13 -> 32 [size =\"46255104\"]\n  13 -> 33 [size =\"46255104\"]\n  13 -> 36 [size =\"46255104\"]\n  13 -> 38 [size =\"46255104\"]\n  14 [size=\"37113856\", alpha=\"0.09\", expect_size=\"18556928\"] \n  14 -> 22 [size =\"18556928\"]\n  14 -> 24 [size =\"18556928\"]\n  14 -> 26 [size =\"18556928\"]\n  14 -> 27 [size =\"18556928\"]\n  14 -> 32 [size =\"18556928\"]\n  14 -> 33 [size =\"18556928\"]\n  14 -> 37 [size =\"18556928\"]\n  14 -> 38 [size =\"18556928\"]\n  15 [size=\"16629760\", alpha=\"0.17\", expect_size=\"8314880\"] \n  15 -> 23 [size =\"8314880\"]\n  15 -> 26 [size =\"8314880\"]\n  15 -> 27 [size =\"8314880\"]\n  15 -> 29 [size =\"8314880\"]\n  15 -> 30 [size =\"8314880\"]\n  15 -> 33 [size =\"8314880\"]\n  15 -> 34 [size =\"8314880\"]\n  16 [size=\"53463040\", alpha=\"0.14\", expect_size=\"26731520\"] \n  16 -> 22 [size =\"26731520\"]\n  16 -> 26 [size =\"26731520\"]\n  16 -> 27 [size =\"26731520\"]\n  16 -> 28 [size =\"26731520\"]\n  16 -> 29 [size =\"26731520\"]\n  16 -> 30 [size =\"26731520\"]\n  16 -> 33 [size =\"26731520\"]\n  16 -> 35 [size =\"26731520\"]\n  16 -> 36 [size =\"26731520\"]\n  16 -> 38 [size =\"26731520\"]\n  17 [size=\"63305728\", alpha=\"0.10\", expect_size=\"31652864\"] \n  17 -> 22 [size =\"31652864\"]\n  17 -> 25 [size =\"31652864\"]\n  17 -> 26 [size =\"31652864\"]\n  17 -> 29 [size =\"31652864\"]\n  17 -> 32 [size =\"31652864\"]\n  17 -> 35 [size =\"31652864\"]\n  17 -> 36 [size =\"31652864\"]\n  17 -> 38 [size =\"31652864\"]\n  18 [size=\"50456576\", alpha=\"0.20\", expect_size=\"25228288\"] \n  18 -> 22 [size =\"25228288\"]\n  18 -> 24 [size =\"25228288\"]\n  18 -> 25 [size =\"25228288\"]\n  18 -> 26 [size =\"25228288\"]\n  18 -> 34 [size =\"25228288\"]\n  18 -> 35 [size =\"25228288\"]\n  18 -> 36 [size =\"25228288\"]\n  18 -> 38 [size =\"25228288\"]\n  19 [size=\"48347136\", alpha=\"0.01\", expect_size=\"24173568\"] \n  19 -> 26 [size =\"24173568\"]\n  19 -> 27 [size =\"24173568\"]\n  19 -> 28 [size =\"24173568\"]\n  19 -> 30 [size =\"24173568\"]\n  19 -> 32 [size =\"24173568\"]\n  19 -> 38 [size =\"24173568\"]\n  20 [size=\"34275328\", alpha=\"0.02\", expect_size=\"17137664\"] \n  20 -> 26 [size =\"17137664\"]\n  20 -> 28 [size =\"17137664\"]\n  20 -> 28 [size =\"17137664\"]\n  20 -> 29 [size =\"17137664\"]\n  20 -> 30 [size =\"17137664\"]\n  20 -> 35 [size =\"17137664\"]\n  20 -> 38 [size =\"17137664\"]\n  21 [size=\"101552128\", alpha=\"0.06\", expect_size=\"50776064\"] \n  21 -> 42 [size =\"50776064\"]\n  21 -> 43 [size =\"50776064\"]\n  21 -> 45 [size =\"50776064\"]\n  22 [size=\"58267648\", alpha=\"0.20\", expect_size=\"29133824\"] \n  22 -> 40 [size =\"29133824\"]\n  22 -> 42 [size =\"29133824\"]\n  22 -> 44 [size =\"29133824\"]\n  22 -> 45 [size =\"29133824\"]\n  23 [size=\"77160448\", alpha=\"0.00\", expect_size=\"38580224\"] \n  23 -> 44 [size =\"38580224\"]\n  23 -> 45 [size =\"38580224\"]\n  24 [size=\"19998720\", alpha=\"0.17\", expect_size=\"9999360\"] \n  24 -> 44 [size =\"9999360\"]\n  24 -> 45 [size =\"9999360\"]\n  25 [size=\"60827648\", alpha=\"0.19\", expect_size=\"30413824\"] \n  25 -> 44 [size =\"30413824\"]\n  25 -> 45 [size =\"30413824\"]\n  26 [size=\"47712256\", alpha=\"0.02\", expect_size=\"23856128\"] \n  26 -> 41 [size =\"23856128\"]\n  26 -> 42 [size =\"23856128\"]\n  26 -> 45 [size =\"23856128\"]\n  27 [size=\"20744192\", alpha=\"0.14\", expect_size=\"10372096\"] \n  27 -> 41 [size =\"10372096\"]\n  27 -> 43 [size =\"10372096\"]\n  27 -> 44 [size =\"10372096\"]\n  27 -> 45 [size =\"10372096\"]\n  28 [size=\"70205440\", alpha=\"0.19\", expect_size=\"35102720\"] \n  28 -> 45 [size =\"35102720\"]\n  29 [size=\"69185536\", alpha=\"0.04\", expect_size=\"34592768\"] \n  29 -> 44 [size =\"34592768\"]\n  29 -> 45 [size =\"34592768\"]\n  30 [size=\"73791488\", alpha=\"0.19\", expect_size=\"36895744\"] \n  31 [size=\"81399808\", alpha=\"0.16\", expect_size=\"40699904\"] \n  31 -> 45 [size =\"40699904\"]\n  32 [size=\"17395712\", alpha=\"0.11\", expect_size=\"8697856\"] \n  32 -> 42 [size =\"8697856\"]\n  33 [size=\"16338944\", alpha=\"0.02\", expect_size=\"8169472\"] \n  33 -> 42 [size =\"8169472\"]\n  33 -> 43 [size =\"8169472\"]\n  34 [size=\"16752640\", alpha=\"0.20\", expect_size=\"8376320\"] \n  34 -> 41 [size =\"8376320\"]\n  34 -> 42 [size =\"8376320\"]\n  34 -> 44 [size =\"8376320\"]\n  34 -> 45 [size =\"8376320\"]\n  35 [size=\"97308672\", alpha=\"0.19\", expect_size=\"48654336\"] \n  35 -> 42 [size =\"48654336\"]\n  35 -> 42 [size =\"48654336\"]\n  35 -> 44 [size =\"48654336\"]\n  36 [size=\"92880896\", alpha=\"0.07\", expect_size=\"46440448\"] \n  36 -> 41 [size =\"46440448\"]\n  36 -> 42 [size =\"46440448\"]\n  37 [size=\"103860224\", alpha=\"0.06\", expect_size=\"51930112\"] \n  37 -> 42 [size =\"51930112\"]\n  37 -> 44 [size =\"51930112\"]\n  38 [size=\"74907648\", alpha=\"0.13\", expect_size=\"37453824\"] \n  38 -> 42 [size =\"37453824\"]\n  39 [size=\"71104512\", alpha=\"0.09\", expect_size=\"35552256\"] \n  39 -> 44 [size =\"35552256\"]\n  39 -> 45 [size =\"35552256\"]\n  40 [size=\"88592384\", alpha=\"0.09\", expect_size=\"44296192\"] \n  41 [size=\"82466816\", alpha=\"0.09\", expect_size=\"41233408\"] \n  42 [size=\"64294912\", alpha=\"0.19\", expect_size=\"32147456\"] \n  43 [size=\"19949568\", alpha=\"0.04\", expect_size=\"9974784\"] \n  44 [size=\"31455232\", alpha=\"0.10\", expect_size=\"15727616\"] \n  45 [size=\"31070208\", alpha=\"0.07\", expect_size=\"15535104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49411413\", alpha=\"0.04\", expect_size=\"14823424\"] \n  1 -> 2 [size =\"14823424\"]\n  2 [size=\"113349973\", alpha=\"0.07\", expect_size=\"34004992\"] \n  2 -> 3 [size =\"34004992\"]\n  3 [size=\"150169600\", alpha=\"0.01\", expect_size=\"45050880\"] \n  3 -> 4 [size =\"45050880\"]\n  4 [size=\"164020907\", alpha=\"0.19\", expect_size=\"49206272\"] \n  4 -> 5 [size =\"49206272\"]\n  5 [size=\"144421547\", alpha=\"0.13\", expect_size=\"43326464\"] \n  5 -> 6 [size =\"43326464\"]\n  6 [size=\"58279253\", alpha=\"0.01\", expect_size=\"17483776\"] \n  6 -> 7 [size =\"17483776\"]\n  7 [size=\"158177280\", alpha=\"0.16\", expect_size=\"47453184\"] \n  7 -> 8 [size =\"47453184\"]\n  8 [size=\"130689707\", alpha=\"0.04\", expect_size=\"39206912\"] \n  8 -> 9 [size =\"39206912\"]\n  9 [size=\"141161813\", alpha=\"0.12\", expect_size=\"42348544\"] \n  9 -> 10 [size =\"42348544\"]\n  10 [size=\"105086293\", alpha=\"0.03\", expect_size=\"31525888\"] \n  10 -> 11 [size =\"31525888\"]\n  11 [size=\"89664853\", alpha=\"0.07\", expect_size=\"26899456\"] \n  11 -> 12 [size =\"26899456\"]\n  12 [size=\"118132053\", alpha=\"0.09\", expect_size=\"35439616\"] \n  12 -> 13 [size =\"35439616\"]\n  13 [size=\"172100267\", alpha=\"0.02\", expect_size=\"51630080\"] \n  13 -> 14 [size =\"51630080\"]\n  14 [size=\"21309440\", alpha=\"0.18\", expect_size=\"6392832\"] \n  14 -> 15 [size =\"6392832\"]\n  15 [size=\"169881600\", alpha=\"0.10\", expect_size=\"50964480\"] \n  15 -> 16 [size =\"50964480\"]\n  16 [size=\"117230933\", alpha=\"0.16\", expect_size=\"35169280\"] \n  16 -> 17 [size =\"35169280\"]\n  17 [size=\"128341333\", alpha=\"0.12\", expect_size=\"38502400\"] \n  17 -> 18 [size =\"38502400\"]\n  18 [size=\"100116480\", alpha=\"0.09\", expect_size=\"30034944\"] \n  18 -> 19 [size =\"30034944\"]\n  19 [size=\"133533013\", alpha=\"0.00\", expect_size=\"40059904\"] \n  19 -> 20 [size =\"40059904\"]\n  20 [size=\"73024853\", alpha=\"0.01\", expect_size=\"21907456\"] \n  20 -> 21 [size =\"21907456\"]\n  21 [size=\"96020480\", alpha=\"0.06\", expect_size=\"28806144\"] \n  21 -> 22 [size =\"28806144\"]\n  22 [size=\"149019307\", alpha=\"0.02\", expect_size=\"44705792\"] \n  22 -> 23 [size =\"44705792\"]\n  23 [size=\"65102507\", alpha=\"0.16\", expect_size=\"19530752\"] \n  23 -> 24 [size =\"19530752\"]\n  24 [size=\"81544533\", alpha=\"0.09\", expect_size=\"24463360\"] \n  24 -> 25 [size =\"24463360\"]\n  25 [size=\"61931520\", alpha=\"0.17\", expect_size=\"18579456\"] \n  25 -> 26 [size =\"18579456\"]\n  26 [size=\"136960000\", alpha=\"0.11\", expect_size=\"41088000\"] \n  26 -> 27 [size =\"41088000\"]\n  27 [size=\"107369813\", alpha=\"0.02\", expect_size=\"32210944\"] \n  27 -> 28 [size =\"32210944\"]\n  28 [size=\"41123840\", alpha=\"0.08\", expect_size=\"12337152\"] \n  28 -> 29 [size =\"12337152\"]\n  29 [size=\"110585173\", alpha=\"0.10\", expect_size=\"33175552\"] \n  29 -> 30 [size =\"33175552\"]\n  30 [size=\"114220373\", alpha=\"0.03\", expect_size=\"34266112\"] \n  30 -> 31 [size =\"34266112\"]\n  31 [size=\"122354347\", alpha=\"0.05\", expect_size=\"36706304\"] \n  31 -> 32 [size =\"36706304\"]\n  32 [size=\"166922240\", alpha=\"0.19\", expect_size=\"50076672\"] \n  32 -> 33 [size =\"50076672\"]\n  33 [size=\"29228373\", alpha=\"0.14\", expect_size=\"8768512\"] \n  33 -> 34 [size =\"8768512\"]\n  34 [size=\"156545707\", alpha=\"0.09\", expect_size=\"46963712\"] \n  34 -> 35 [size =\"46963712\"]\n  35 [size=\"66266453\", alpha=\"0.03\", expect_size=\"19879936\"] \n  35 -> 36 [size =\"19879936\"]\n  36 [size=\"42629120\", alpha=\"0.10\", expect_size=\"12788736\"] \n  36 -> 37 [size =\"12788736\"]\n  37 [size=\"126440107\", alpha=\"0.11\", expect_size=\"37932032\"] \n  37 -> 38 [size =\"37932032\"]\n  38 [size=\"143827627\", alpha=\"0.03\", expect_size=\"43148288\"] \n  38 -> 39 [size =\"43148288\"]\n  39 [size=\"50718720\", alpha=\"0.09\", expect_size=\"15215616\"] \n  39 -> 40 [size =\"15215616\"]\n  40 [size=\"128088747\", alpha=\"0.03\", expect_size=\"38426624\"] \n  40 -> 41 [size =\"38426624\"]\n  41 [size=\"148981760\", alpha=\"0.06\", expect_size=\"44694528\"] \n  41 -> 42 [size =\"44694528\"]\n  42 [size=\"28296533\", alpha=\"0.06\", expect_size=\"8488960\"] \n  42 -> 43 [size =\"8488960\"]\n  43 [size=\"23975253\", alpha=\"0.13\", expect_size=\"7192576\"] \n  43 -> 44 [size =\"7192576\"]\n  44 [size=\"133358933\", alpha=\"0.07\", expect_size=\"40007680\"] \n  44 -> 45 [size =\"40007680\"]\n  45 [size=\"45711360\", alpha=\"0.07\", expect_size=\"13713408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79157760\", alpha=\"0.07\", expect_size=\"31663104\"] \n  1 -> 14 [size =\"31663104\"]\n  1 -> 15 [size =\"31663104\"]\n  1 -> 16 [size =\"31663104\"]\n  1 -> 18 [size =\"31663104\"]\n  1 -> 19 [size =\"31663104\"]\n  1 -> 20 [size =\"31663104\"]\n  1 -> 21 [size =\"31663104\"]\n  1 -> 26 [size =\"31663104\"]\n  2 [size=\"52474880\", alpha=\"0.04\", expect_size=\"20989952\"] \n  2 -> 13 [size =\"20989952\"]\n  2 -> 17 [size =\"20989952\"]\n  2 -> 19 [size =\"20989952\"]\n  2 -> 22 [size =\"20989952\"]\n  2 -> 23 [size =\"20989952\"]\n  2 -> 24 [size =\"20989952\"]\n  2 -> 25 [size =\"20989952\"]\n  2 -> 26 [size =\"20989952\"]\n  3 [size=\"98754560\", alpha=\"0.19\", expect_size=\"39501824\"] \n  3 -> 14 [size =\"39501824\"]\n  3 -> 15 [size =\"39501824\"]\n  3 -> 19 [size =\"39501824\"]\n  3 -> 24 [size =\"39501824\"]\n  3 -> 25 [size =\"39501824\"]\n  3 -> 26 [size =\"39501824\"]\n  4 [size=\"41285120\", alpha=\"0.02\", expect_size=\"16514048\"] \n  4 -> 13 [size =\"16514048\"]\n  4 -> 14 [size =\"16514048\"]\n  4 -> 15 [size =\"16514048\"]\n  4 -> 18 [size =\"16514048\"]\n  4 -> 19 [size =\"16514048\"]\n  4 -> 20 [size =\"16514048\"]\n  4 -> 23 [size =\"16514048\"]\n  4 -> 24 [size =\"16514048\"]\n  4 -> 25 [size =\"16514048\"]\n  4 -> 26 [size =\"16514048\"]\n  5 [size=\"30510080\", alpha=\"0.17\", expect_size=\"12204032\"] \n  5 -> 14 [size =\"12204032\"]\n  5 -> 14 [size =\"12204032\"]\n  5 -> 15 [size =\"12204032\"]\n  5 -> 18 [size =\"12204032\"]\n  5 -> 19 [size =\"12204032\"]\n  5 -> 24 [size =\"12204032\"]\n  5 -> 25 [size =\"12204032\"]\n  5 -> 26 [size =\"12204032\"]\n  6 [size=\"130199040\", alpha=\"0.03\", expect_size=\"52079616\"] \n  6 -> 13 [size =\"52079616\"]\n  6 -> 14 [size =\"52079616\"]\n  6 -> 15 [size =\"52079616\"]\n  6 -> 19 [size =\"52079616\"]\n  6 -> 25 [size =\"52079616\"]\n  7 [size=\"85358080\", alpha=\"0.12\", expect_size=\"34143232\"] \n  7 -> 14 [size =\"34143232\"]\n  7 -> 15 [size =\"34143232\"]\n  7 -> 23 [size =\"34143232\"]\n  8 [size=\"57090560\", alpha=\"0.15\", expect_size=\"22836224\"] \n  8 -> 14 [size =\"22836224\"]\n  8 -> 15 [size =\"22836224\"]\n  8 -> 18 [size =\"22836224\"]\n  8 -> 19 [size =\"22836224\"]\n  8 -> 20 [size =\"22836224\"]\n  8 -> 23 [size =\"22836224\"]\n  8 -> 24 [size =\"22836224\"]\n  8 -> 26 [size =\"22836224\"]\n  9 [size=\"62586880\", alpha=\"0.20\", expect_size=\"25034752\"] \n  9 -> 15 [size =\"25034752\"]\n  9 -> 18 [size =\"25034752\"]\n  9 -> 21 [size =\"25034752\"]\n  9 -> 23 [size =\"25034752\"]\n  9 -> 24 [size =\"25034752\"]\n  9 -> 25 [size =\"25034752\"]\n  9 -> 26 [size =\"25034752\"]\n  10 [size=\"110328320\", alpha=\"0.16\", expect_size=\"44131328\"] \n  10 -> 14 [size =\"44131328\"]\n  10 -> 15 [size =\"44131328\"]\n  10 -> 16 [size =\"44131328\"]\n  10 -> 18 [size =\"44131328\"]\n  10 -> 20 [size =\"44131328\"]\n  10 -> 21 [size =\"44131328\"]\n  10 -> 23 [size =\"44131328\"]\n  10 -> 26 [size =\"44131328\"]\n  11 [size=\"50007040\", alpha=\"0.18\", expect_size=\"20002816\"] \n  11 -> 14 [size =\"20002816\"]\n  11 -> 15 [size =\"20002816\"]\n  11 -> 18 [size =\"20002816\"]\n  11 -> 18 [size =\"20002816\"]\n  11 -> 23 [size =\"20002816\"]\n  11 -> 26 [size =\"20002816\"]\n  12 [size=\"93491200\", alpha=\"0.13\", expect_size=\"37396480\"] \n  12 -> 14 [size =\"37396480\"]\n  12 -> 15 [size =\"37396480\"]\n  12 -> 16 [size =\"37396480\"]\n  12 -> 19 [size =\"37396480\"]\n  12 -> 20 [size =\"37396480\"]\n  12 -> 21 [size =\"37396480\"]\n  12 -> 26 [size =\"37396480\"]\n  13 [size=\"115392000\", alpha=\"0.04\", expect_size=\"46156800\"] \n  13 -> 27 [size =\"46156800\"]\n  13 -> 28 [size =\"46156800\"]\n  13 -> 30 [size =\"46156800\"]\n  13 -> 32 [size =\"46156800\"]\n  13 -> 33 [size =\"46156800\"]\n  13 -> 36 [size =\"46156800\"]\n  13 -> 37 [size =\"46156800\"]\n  13 -> 41 [size =\"46156800\"]\n  13 -> 44 [size =\"46156800\"]\n  14 [size=\"107960320\", alpha=\"0.08\", expect_size=\"43184128\"] \n  14 -> 27 [size =\"43184128\"]\n  14 -> 28 [size =\"43184128\"]\n  14 -> 30 [size =\"43184128\"]\n  14 -> 36 [size =\"43184128\"]\n  14 -> 43 [size =\"43184128\"]\n  14 -> 44 [size =\"43184128\"]\n  15 [size=\"118149120\", alpha=\"0.17\", expect_size=\"47259648\"] \n  15 -> 27 [size =\"47259648\"]\n  15 -> 29 [size =\"47259648\"]\n  15 -> 30 [size =\"47259648\"]\n  15 -> 31 [size =\"47259648\"]\n  15 -> 32 [size =\"47259648\"]\n  15 -> 40 [size =\"47259648\"]\n  15 -> 43 [size =\"47259648\"]\n  16 [size=\"98536960\", alpha=\"0.05\", expect_size=\"39414784\"] \n  16 -> 30 [size =\"39414784\"]\n  16 -> 32 [size =\"39414784\"]\n  16 -> 40 [size =\"39414784\"]\n  16 -> 42 [size =\"39414784\"]\n  16 -> 44 [size =\"39414784\"]\n  17 [size=\"113489920\", alpha=\"0.02\", expect_size=\"45395968\"] \n  17 -> 29 [size =\"45395968\"]\n  17 -> 32 [size =\"45395968\"]\n  17 -> 34 [size =\"45395968\"]\n  17 -> 35 [size =\"45395968\"]\n  17 -> 36 [size =\"45395968\"]\n  17 -> 39 [size =\"45395968\"]\n  17 -> 44 [size =\"45395968\"]\n  18 [size=\"66667520\", alpha=\"0.18\", expect_size=\"26667008\"] \n  18 -> 28 [size =\"26667008\"]\n  18 -> 30 [size =\"26667008\"]\n  18 -> 32 [size =\"26667008\"]\n  18 -> 33 [size =\"26667008\"]\n  18 -> 34 [size =\"26667008\"]\n  18 -> 37 [size =\"26667008\"]\n  18 -> 39 [size =\"26667008\"]\n  18 -> 44 [size =\"26667008\"]\n  19 [size=\"35358720\", alpha=\"0.19\", expect_size=\"14143488\"] \n  19 -> 27 [size =\"14143488\"]\n  19 -> 28 [size =\"14143488\"]\n  19 -> 29 [size =\"14143488\"]\n  19 -> 30 [size =\"14143488\"]\n  19 -> 36 [size =\"14143488\"]\n  19 -> 37 [size =\"14143488\"]\n  19 -> 39 [size =\"14143488\"]\n  19 -> 40 [size =\"14143488\"]\n  19 -> 41 [size =\"14143488\"]\n  19 -> 43 [size =\"14143488\"]\n  19 -> 44 [size =\"14143488\"]\n  20 [size=\"32931840\", alpha=\"0.11\", expect_size=\"13172736\"] \n  20 -> 29 [size =\"13172736\"]\n  20 -> 30 [size =\"13172736\"]\n  20 -> 32 [size =\"13172736\"]\n  20 -> 36 [size =\"13172736\"]\n  20 -> 39 [size =\"13172736\"]\n  20 -> 40 [size =\"13172736\"]\n  20 -> 42 [size =\"13172736\"]\n  20 -> 43 [size =\"13172736\"]\n  20 -> 44 [size =\"13172736\"]\n  21 [size=\"125575680\", alpha=\"0.14\", expect_size=\"50230272\"] \n  21 -> 28 [size =\"50230272\"]\n  21 -> 30 [size =\"50230272\"]\n  21 -> 32 [size =\"50230272\"]\n  21 -> 35 [size =\"50230272\"]\n  21 -> 40 [size =\"50230272\"]\n  21 -> 43 [size =\"50230272\"]\n  21 -> 44 [size =\"50230272\"]\n  22 [size=\"112893440\", alpha=\"0.04\", expect_size=\"45157376\"] \n  22 -> 27 [size =\"45157376\"]\n  22 -> 28 [size =\"45157376\"]\n  22 -> 30 [size =\"45157376\"]\n  22 -> 32 [size =\"45157376\"]\n  22 -> 35 [size =\"45157376\"]\n  22 -> 38 [size =\"45157376\"]\n  22 -> 39 [size =\"45157376\"]\n  22 -> 40 [size =\"45157376\"]\n  22 -> 43 [size =\"45157376\"]\n  22 -> 44 [size =\"45157376\"]\n  23 [size=\"69045760\", alpha=\"0.08\", expect_size=\"27618304\"] \n  23 -> 27 [size =\"27618304\"]\n  23 -> 28 [size =\"27618304\"]\n  23 -> 30 [size =\"27618304\"]\n  23 -> 39 [size =\"27618304\"]\n  23 -> 40 [size =\"27618304\"]\n  23 -> 41 [size =\"27618304\"]\n  23 -> 43 [size =\"27618304\"]\n  24 [size=\"90588160\", alpha=\"0.17\", expect_size=\"36235264\"] \n  24 -> 27 [size =\"36235264\"]\n  24 -> 28 [size =\"36235264\"]\n  24 -> 30 [size =\"36235264\"]\n  24 -> 32 [size =\"36235264\"]\n  24 -> 33 [size =\"36235264\"]\n  24 -> 35 [size =\"36235264\"]\n  24 -> 37 [size =\"36235264\"]\n  24 -> 39 [size =\"36235264\"]\n  24 -> 43 [size =\"36235264\"]\n  25 [size=\"22658560\", alpha=\"0.09\", expect_size=\"9063424\"] \n  25 -> 27 [size =\"9063424\"]\n  25 -> 28 [size =\"9063424\"]\n  25 -> 30 [size =\"9063424\"]\n  25 -> 31 [size =\"9063424\"]\n  25 -> 32 [size =\"9063424\"]\n  25 -> 35 [size =\"9063424\"]\n  25 -> 38 [size =\"9063424\"]\n  25 -> 43 [size =\"9063424\"]\n  25 -> 44 [size =\"9063424\"]\n  26 [size=\"124326400\", alpha=\"0.01\", expect_size=\"49730560\"] \n  26 -> 28 [size =\"49730560\"]\n  26 -> 29 [size =\"49730560\"]\n  26 -> 30 [size =\"49730560\"]\n  26 -> 32 [size =\"49730560\"]\n  26 -> 34 [size =\"49730560\"]\n  26 -> 35 [size =\"49730560\"]\n  26 -> 36 [size =\"49730560\"]\n  26 -> 40 [size =\"49730560\"]\n  26 -> 43 [size =\"49730560\"]\n  26 -> 44 [size =\"49730560\"]\n  27 [size=\"35118080\", alpha=\"0.05\", expect_size=\"14047232\"] \n  27 -> 45 [size =\"14047232\"]\n  28 [size=\"44280320\", alpha=\"0.17\", expect_size=\"17712128\"] \n  29 [size=\"29762560\", alpha=\"0.17\", expect_size=\"11905024\"] \n  29 -> 45 [size =\"11905024\"]\n  30 [size=\"25308160\", alpha=\"0.14\", expect_size=\"10123264\"] \n  31 [size=\"91105280\", alpha=\"0.16\", expect_size=\"36442112\"] \n  32 [size=\"57280000\", alpha=\"0.13\", expect_size=\"22912000\"] \n  33 [size=\"81162240\", alpha=\"0.06\", expect_size=\"32464896\"] \n  33 -> 45 [size =\"32464896\"]\n  34 [size=\"130439680\", alpha=\"0.16\", expect_size=\"52175872\"] \n  35 [size=\"115325440\", alpha=\"0.04\", expect_size=\"46130176\"] \n  36 [size=\"53227520\", alpha=\"0.06\", expect_size=\"21291008\"] \n  37 [size=\"61235200\", alpha=\"0.05\", expect_size=\"24494080\"] \n  38 [size=\"93637120\", alpha=\"0.13\", expect_size=\"37454848\"] \n  39 [size=\"76454400\", alpha=\"0.05\", expect_size=\"30581760\"] \n  40 [size=\"59166720\", alpha=\"0.00\", expect_size=\"23666688\"] \n  40 -> 45 [size =\"23666688\"]\n  41 [size=\"21032960\", alpha=\"0.15\", expect_size=\"8413184\"] \n  42 [size=\"116922880\", alpha=\"0.06\", expect_size=\"46769152\"] \n  43 [size=\"73323520\", alpha=\"0.07\", expect_size=\"29329408\"] \n  44 [size=\"110487040\", alpha=\"0.01\", expect_size=\"44194816\"] \n  44 -> 45 [size =\"44194816\"]\n  45 [size=\"87339520\", alpha=\"0.16\", expect_size=\"34935808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61475840\", alpha=\"0.09\", expect_size=\"24590336\"] \n  1 -> 33 [size =\"24590336\"]\n  1 -> 37 [size =\"24590336\"]\n  1 -> 38 [size =\"24590336\"]\n  1 -> 40 [size =\"24590336\"]\n  1 -> 42 [size =\"24590336\"]\n  1 -> 45 [size =\"24590336\"]\n  2 [size=\"77696000\", alpha=\"0.08\", expect_size=\"31078400\"] \n  2 -> 34 [size =\"31078400\"]\n  2 -> 35 [size =\"31078400\"]\n  2 -> 39 [size =\"31078400\"]\n  2 -> 42 [size =\"31078400\"]\n  2 -> 42 [size =\"31078400\"]\n  2 -> 43 [size =\"31078400\"]\n  2 -> 44 [size =\"31078400\"]\n  2 -> 45 [size =\"31078400\"]\n  3 [size=\"112842240\", alpha=\"0.05\", expect_size=\"45136896\"] \n  3 -> 32 [size =\"45136896\"]\n  3 -> 36 [size =\"45136896\"]\n  3 -> 38 [size =\"45136896\"]\n  3 -> 42 [size =\"45136896\"]\n  3 -> 43 [size =\"45136896\"]\n  3 -> 45 [size =\"45136896\"]\n  4 [size=\"116528640\", alpha=\"0.07\", expect_size=\"46611456\"] \n  4 -> 32 [size =\"46611456\"]\n  4 -> 33 [size =\"46611456\"]\n  4 -> 34 [size =\"46611456\"]\n  4 -> 38 [size =\"46611456\"]\n  4 -> 40 [size =\"46611456\"]\n  4 -> 42 [size =\"46611456\"]\n  5 [size=\"39449600\", alpha=\"0.10\", expect_size=\"15779840\"] \n  5 -> 31 [size =\"15779840\"]\n  5 -> 34 [size =\"15779840\"]\n  5 -> 34 [size =\"15779840\"]\n  5 -> 35 [size =\"15779840\"]\n  5 -> 38 [size =\"15779840\"]\n  5 -> 42 [size =\"15779840\"]\n  5 -> 43 [size =\"15779840\"]\n  6 [size=\"67937280\", alpha=\"0.16\", expect_size=\"27174912\"] \n  6 -> 31 [size =\"27174912\"]\n  6 -> 34 [size =\"27174912\"]\n  6 -> 35 [size =\"27174912\"]\n  6 -> 36 [size =\"27174912\"]\n  6 -> 42 [size =\"27174912\"]\n  6 -> 42 [size =\"27174912\"]\n  7 [size=\"75064320\", alpha=\"0.10\", expect_size=\"30025728\"] \n  7 -> 31 [size =\"30025728\"]\n  7 -> 34 [size =\"30025728\"]\n  7 -> 36 [size =\"30025728\"]\n  7 -> 37 [size =\"30025728\"]\n  7 -> 38 [size =\"30025728\"]\n  7 -> 40 [size =\"30025728\"]\n  7 -> 42 [size =\"30025728\"]\n  7 -> 45 [size =\"30025728\"]\n  8 [size=\"21931520\", alpha=\"0.17\", expect_size=\"8772608\"] \n  8 -> 34 [size =\"8772608\"]\n  8 -> 36 [size =\"8772608\"]\n  8 -> 38 [size =\"8772608\"]\n  8 -> 40 [size =\"8772608\"]\n  8 -> 42 [size =\"8772608\"]\n  8 -> 45 [size =\"8772608\"]\n  9 [size=\"97756160\", alpha=\"0.12\", expect_size=\"39102464\"] \n  9 -> 34 [size =\"39102464\"]\n  9 -> 44 [size =\"39102464\"]\n  9 -> 45 [size =\"39102464\"]\n  10 [size=\"38105600\", alpha=\"0.04\", expect_size=\"15242240\"] \n  10 -> 31 [size =\"15242240\"]\n  10 -> 32 [size =\"15242240\"]\n  10 -> 35 [size =\"15242240\"]\n  10 -> 36 [size =\"15242240\"]\n  10 -> 42 [size =\"15242240\"]\n  10 -> 43 [size =\"15242240\"]\n  11 [size=\"18828800\", alpha=\"0.07\", expect_size=\"7531520\"] \n  11 -> 31 [size =\"7531520\"]\n  11 -> 33 [size =\"7531520\"]\n  11 -> 36 [size =\"7531520\"]\n  11 -> 43 [size =\"7531520\"]\n  11 -> 45 [size =\"7531520\"]\n  12 [size=\"69342720\", alpha=\"0.09\", expect_size=\"27737088\"] \n  12 -> 32 [size =\"27737088\"]\n  12 -> 36 [size =\"27737088\"]\n  12 -> 43 [size =\"27737088\"]\n  12 -> 43 [size =\"27737088\"]\n  12 -> 45 [size =\"27737088\"]\n  13 [size=\"119362560\", alpha=\"0.16\", expect_size=\"47745024\"] \n  13 -> 34 [size =\"47745024\"]\n  13 -> 35 [size =\"47745024\"]\n  13 -> 37 [size =\"47745024\"]\n  13 -> 38 [size =\"47745024\"]\n  13 -> 42 [size =\"47745024\"]\n  14 [size=\"30328320\", alpha=\"0.11\", expect_size=\"12131328\"] \n  14 -> 33 [size =\"12131328\"]\n  14 -> 36 [size =\"12131328\"]\n  14 -> 42 [size =\"12131328\"]\n  15 [size=\"70748160\", alpha=\"0.11\", expect_size=\"28299264\"] \n  15 -> 32 [size =\"28299264\"]\n  15 -> 36 [size =\"28299264\"]\n  15 -> 37 [size =\"28299264\"]\n  15 -> 38 [size =\"28299264\"]\n  15 -> 39 [size =\"28299264\"]\n  15 -> 42 [size =\"28299264\"]\n  15 -> 43 [size =\"28299264\"]\n  16 [size=\"131018240\", alpha=\"0.05\", expect_size=\"52407296\"] \n  16 -> 32 [size =\"52407296\"]\n  16 -> 33 [size =\"52407296\"]\n  16 -> 36 [size =\"52407296\"]\n  16 -> 37 [size =\"52407296\"]\n  17 [size=\"109347840\", alpha=\"0.10\", expect_size=\"43739136\"] \n  17 -> 31 [size =\"43739136\"]\n  17 -> 33 [size =\"43739136\"]\n  17 -> 34 [size =\"43739136\"]\n  17 -> 36 [size =\"43739136\"]\n  17 -> 37 [size =\"43739136\"]\n  17 -> 43 [size =\"43739136\"]\n  17 -> 45 [size =\"43739136\"]\n  18 [size=\"52480000\", alpha=\"0.11\", expect_size=\"20992000\"] \n  18 -> 35 [size =\"20992000\"]\n  18 -> 36 [size =\"20992000\"]\n  18 -> 42 [size =\"20992000\"]\n  18 -> 45 [size =\"20992000\"]\n  19 [size=\"32537600\", alpha=\"0.13\", expect_size=\"13015040\"] \n  19 -> 36 [size =\"13015040\"]\n  19 -> 37 [size =\"13015040\"]\n  19 -> 38 [size =\"13015040\"]\n  19 -> 42 [size =\"13015040\"]\n  20 [size=\"103723520\", alpha=\"0.07\", expect_size=\"41489408\"] \n  20 -> 33 [size =\"41489408\"]\n  20 -> 38 [size =\"41489408\"]\n  20 -> 38 [size =\"41489408\"]\n  20 -> 42 [size =\"41489408\"]\n  20 -> 43 [size =\"41489408\"]\n  21 [size=\"130165760\", alpha=\"0.10\", expect_size=\"52066304\"] \n  21 -> 31 [size =\"52066304\"]\n  21 -> 36 [size =\"52066304\"]\n  21 -> 42 [size =\"52066304\"]\n  21 -> 43 [size =\"52066304\"]\n  21 -> 45 [size =\"52066304\"]\n  22 [size=\"53724160\", alpha=\"0.03\", expect_size=\"21489664\"] \n  22 -> 32 [size =\"21489664\"]\n  22 -> 34 [size =\"21489664\"]\n  22 -> 36 [size =\"21489664\"]\n  22 -> 42 [size =\"21489664\"]\n  22 -> 43 [size =\"21489664\"]\n  22 -> 45 [size =\"21489664\"]\n  23 [size=\"105779200\", alpha=\"0.13\", expect_size=\"42311680\"] \n  23 -> 36 [size =\"42311680\"]\n  23 -> 37 [size =\"42311680\"]\n  23 -> 38 [size =\"42311680\"]\n  23 -> 44 [size =\"42311680\"]\n  23 -> 45 [size =\"42311680\"]\n  24 [size=\"81543680\", alpha=\"0.01\", expect_size=\"32617472\"] \n  24 -> 34 [size =\"32617472\"]\n  24 -> 36 [size =\"32617472\"]\n  24 -> 37 [size =\"32617472\"]\n  24 -> 38 [size =\"32617472\"]\n  24 -> 44 [size =\"32617472\"]\n  24 -> 45 [size =\"32617472\"]\n  25 [size=\"26334720\", alpha=\"0.13\", expect_size=\"10533888\"] \n  25 -> 34 [size =\"10533888\"]\n  25 -> 35 [size =\"10533888\"]\n  25 -> 37 [size =\"10533888\"]\n  25 -> 38 [size =\"10533888\"]\n  25 -> 45 [size =\"10533888\"]\n  25 -> 45 [size =\"10533888\"]\n  26 [size=\"89436160\", alpha=\"0.14\", expect_size=\"35774464\"] \n  26 -> 33 [size =\"35774464\"]\n  26 -> 35 [size =\"35774464\"]\n  26 -> 36 [size =\"35774464\"]\n  26 -> 37 [size =\"35774464\"]\n  26 -> 43 [size =\"35774464\"]\n  27 [size=\"119144960\", alpha=\"0.06\", expect_size=\"47657984\"] \n  27 -> 35 [size =\"47657984\"]\n  27 -> 35 [size =\"47657984\"]\n  27 -> 36 [size =\"47657984\"]\n  27 -> 37 [size =\"47657984\"]\n  27 -> 40 [size =\"47657984\"]\n  28 [size=\"58176000\", alpha=\"0.20\", expect_size=\"23270400\"] \n  28 -> 31 [size =\"23270400\"]\n  28 -> 33 [size =\"23270400\"]\n  28 -> 37 [size =\"23270400\"]\n  28 -> 37 [size =\"23270400\"]\n  28 -> 38 [size =\"23270400\"]\n  28 -> 45 [size =\"23270400\"]\n  29 [size=\"121968640\", alpha=\"0.08\", expect_size=\"48787456\"] \n  29 -> 36 [size =\"48787456\"]\n  29 -> 37 [size =\"48787456\"]\n  29 -> 38 [size =\"48787456\"]\n  29 -> 42 [size =\"48787456\"]\n  29 -> 45 [size =\"48787456\"]\n  30 [size=\"81963520\", alpha=\"0.20\", expect_size=\"32785408\"] \n  30 -> 32 [size =\"32785408\"]\n  30 -> 35 [size =\"32785408\"]\n  30 -> 36 [size =\"32785408\"]\n  30 -> 37 [size =\"32785408\"]\n  30 -> 38 [size =\"32785408\"]\n  30 -> 41 [size =\"32785408\"]\n  30 -> 42 [size =\"32785408\"]\n  30 -> 45 [size =\"32785408\"]\n  31 [size=\"125120000\", alpha=\"0.13\", expect_size=\"50048000\"] \n  32 [size=\"63882240\", alpha=\"0.15\", expect_size=\"25552896\"] \n  33 [size=\"80801280\", alpha=\"0.16\", expect_size=\"32320512\"] \n  34 [size=\"39687680\", alpha=\"0.19\", expect_size=\"15875072\"] \n  35 [size=\"43957760\", alpha=\"0.13\", expect_size=\"17583104\"] \n  36 [size=\"119961600\", alpha=\"0.06\", expect_size=\"47984640\"] \n  37 [size=\"86597120\", alpha=\"0.15\", expect_size=\"34638848\"] \n  38 [size=\"123793920\", alpha=\"0.12\", expect_size=\"49517568\"] \n  39 [size=\"122406400\", alpha=\"0.11\", expect_size=\"48962560\"] \n  40 [size=\"49126400\", alpha=\"0.06\", expect_size=\"19650560\"] \n  41 [size=\"46914560\", alpha=\"0.01\", expect_size=\"18765824\"] \n  42 [size=\"121492480\", alpha=\"0.02\", expect_size=\"48596992\"] \n  43 [size=\"93171200\", alpha=\"0.20\", expect_size=\"37268480\"] \n  44 [size=\"68206080\", alpha=\"0.09\", expect_size=\"27282432\"] \n  45 [size=\"63820800\", alpha=\"0.20\", expect_size=\"25528320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142837760\", alpha=\"0.06\", expect_size=\"42851328\"] \n  1 -> 22 [size =\"42851328\"]\n  1 -> 26 [size =\"42851328\"]\n  1 -> 27 [size =\"42851328\"]\n  2 [size=\"19828053\", alpha=\"0.00\", expect_size=\"5948416\"] \n  2 -> 19 [size =\"5948416\"]\n  2 -> 22 [size =\"5948416\"]\n  2 -> 25 [size =\"5948416\"]\n  2 -> 27 [size =\"5948416\"]\n  3 [size=\"137840640\", alpha=\"0.11\", expect_size=\"41352192\"] \n  3 -> 19 [size =\"41352192\"]\n  3 -> 26 [size =\"41352192\"]\n  3 -> 27 [size =\"41352192\"]\n  4 [size=\"87862613\", alpha=\"0.08\", expect_size=\"26358784\"] \n  4 -> 18 [size =\"26358784\"]\n  4 -> 19 [size =\"26358784\"]\n  4 -> 24 [size =\"26358784\"]\n  4 -> 26 [size =\"26358784\"]\n  5 [size=\"155214507\", alpha=\"0.02\", expect_size=\"46564352\"] \n  5 -> 19 [size =\"46564352\"]\n  5 -> 19 [size =\"46564352\"]\n  5 -> 24 [size =\"46564352\"]\n  5 -> 25 [size =\"46564352\"]\n  5 -> 26 [size =\"46564352\"]\n  5 -> 27 [size =\"46564352\"]\n  6 [size=\"118449493\", alpha=\"0.07\", expect_size=\"35534848\"] \n  6 -> 19 [size =\"35534848\"]\n  6 -> 24 [size =\"35534848\"]\n  7 [size=\"163123200\", alpha=\"0.00\", expect_size=\"48936960\"] \n  7 -> 18 [size =\"48936960\"]\n  7 -> 26 [size =\"48936960\"]\n  8 [size=\"63498240\", alpha=\"0.10\", expect_size=\"19049472\"] \n  8 -> 18 [size =\"19049472\"]\n  8 -> 20 [size =\"19049472\"]\n  8 -> 26 [size =\"19049472\"]\n  9 [size=\"63443627\", alpha=\"0.19\", expect_size=\"19033088\"] \n  9 -> 17 [size =\"19033088\"]\n  9 -> 22 [size =\"19033088\"]\n  9 -> 23 [size =\"19033088\"]\n  9 -> 24 [size =\"19033088\"]\n  9 -> 26 [size =\"19033088\"]\n  9 -> 27 [size =\"19033088\"]\n  10 [size=\"38007467\", alpha=\"0.09\", expect_size=\"11402240\"] \n  10 -> 18 [size =\"11402240\"]\n  10 -> 19 [size =\"11402240\"]\n  10 -> 24 [size =\"11402240\"]\n  10 -> 27 [size =\"11402240\"]\n  11 [size=\"80329387\", alpha=\"0.09\", expect_size=\"24098816\"] \n  11 -> 18 [size =\"24098816\"]\n  11 -> 19 [size =\"24098816\"]\n  11 -> 25 [size =\"24098816\"]\n  11 -> 26 [size =\"24098816\"]\n  12 [size=\"129495040\", alpha=\"0.18\", expect_size=\"38848512\"] \n  12 -> 20 [size =\"38848512\"]\n  12 -> 21 [size =\"38848512\"]\n  12 -> 24 [size =\"38848512\"]\n  12 -> 25 [size =\"38848512\"]\n  13 [size=\"133294080\", alpha=\"0.02\", expect_size=\"39988224\"] \n  13 -> 24 [size =\"39988224\"]\n  13 -> 25 [size =\"39988224\"]\n  13 -> 26 [size =\"39988224\"]\n  14 [size=\"61245440\", alpha=\"0.16\", expect_size=\"18373632\"] \n  14 -> 18 [size =\"18373632\"]\n  14 -> 19 [size =\"18373632\"]\n  14 -> 20 [size =\"18373632\"]\n  14 -> 21 [size =\"18373632\"]\n  14 -> 24 [size =\"18373632\"]\n  14 -> 25 [size =\"18373632\"]\n  14 -> 26 [size =\"18373632\"]\n  14 -> 27 [size =\"18373632\"]\n  15 [size=\"128020480\", alpha=\"0.16\", expect_size=\"38406144\"] \n  15 -> 18 [size =\"38406144\"]\n  15 -> 19 [size =\"38406144\"]\n  15 -> 24 [size =\"38406144\"]\n  15 -> 25 [size =\"38406144\"]\n  15 -> 27 [size =\"38406144\"]\n  16 [size=\"144735573\", alpha=\"0.20\", expect_size=\"43420672\"] \n  16 -> 23 [size =\"43420672\"]\n  16 -> 26 [size =\"43420672\"]\n  16 -> 27 [size =\"43420672\"]\n  17 [size=\"41454933\", alpha=\"0.06\", expect_size=\"12436480\"] \n  17 -> 34 [size =\"12436480\"]\n  17 -> 37 [size =\"12436480\"]\n  17 -> 38 [size =\"12436480\"]\n  17 -> 39 [size =\"12436480\"]\n  18 [size=\"44786347\", alpha=\"0.09\", expect_size=\"13435904\"] \n  18 -> 29 [size =\"13435904\"]\n  18 -> 32 [size =\"13435904\"]\n  18 -> 34 [size =\"13435904\"]\n  18 -> 40 [size =\"13435904\"]\n  19 [size=\"125996373\", alpha=\"0.06\", expect_size=\"37798912\"] \n  19 -> 28 [size =\"37798912\"]\n  19 -> 29 [size =\"37798912\"]\n  19 -> 33 [size =\"37798912\"]\n  19 -> 35 [size =\"37798912\"]\n  19 -> 37 [size =\"37798912\"]\n  19 -> 38 [size =\"37798912\"]\n  19 -> 41 [size =\"37798912\"]\n  20 [size=\"117077333\", alpha=\"0.06\", expect_size=\"35123200\"] \n  20 -> 28 [size =\"35123200\"]\n  20 -> 29 [size =\"35123200\"]\n  20 -> 33 [size =\"35123200\"]\n  20 -> 35 [size =\"35123200\"]\n  20 -> 36 [size =\"35123200\"]\n  20 -> 37 [size =\"35123200\"]\n  20 -> 38 [size =\"35123200\"]\n  20 -> 41 [size =\"35123200\"]\n  21 [size=\"32102400\", alpha=\"0.02\", expect_size=\"9630720\"] \n  21 -> 29 [size =\"9630720\"]\n  21 -> 31 [size =\"9630720\"]\n  21 -> 32 [size =\"9630720\"]\n  21 -> 33 [size =\"9630720\"]\n  21 -> 34 [size =\"9630720\"]\n  21 -> 35 [size =\"9630720\"]\n  21 -> 36 [size =\"9630720\"]\n  22 [size=\"102915413\", alpha=\"0.18\", expect_size=\"30874624\"] \n  22 -> 28 [size =\"30874624\"]\n  22 -> 33 [size =\"30874624\"]\n  22 -> 36 [size =\"30874624\"]\n  22 -> 37 [size =\"30874624\"]\n  22 -> 40 [size =\"30874624\"]\n  23 [size=\"88477013\", alpha=\"0.10\", expect_size=\"26543104\"] \n  23 -> 28 [size =\"26543104\"]\n  23 -> 32 [size =\"26543104\"]\n  23 -> 33 [size =\"26543104\"]\n  23 -> 34 [size =\"26543104\"]\n  23 -> 35 [size =\"26543104\"]\n  23 -> 36 [size =\"26543104\"]\n  23 -> 37 [size =\"26543104\"]\n  23 -> 38 [size =\"26543104\"]\n  23 -> 41 [size =\"26543104\"]\n  24 [size=\"105850880\", alpha=\"0.11\", expect_size=\"31755264\"] \n  24 -> 28 [size =\"31755264\"]\n  24 -> 29 [size =\"31755264\"]\n  24 -> 33 [size =\"31755264\"]\n  24 -> 34 [size =\"31755264\"]\n  24 -> 35 [size =\"31755264\"]\n  24 -> 36 [size =\"31755264\"]\n  24 -> 38 [size =\"31755264\"]\n  24 -> 40 [size =\"31755264\"]\n  24 -> 41 [size =\"31755264\"]\n  25 [size=\"77393920\", alpha=\"0.09\", expect_size=\"23218176\"] \n  25 -> 34 [size =\"23218176\"]\n  25 -> 35 [size =\"23218176\"]\n  25 -> 36 [size =\"23218176\"]\n  25 -> 37 [size =\"23218176\"]\n  25 -> 40 [size =\"23218176\"]\n  26 [size=\"48267947\", alpha=\"0.20\", expect_size=\"14480384\"] \n  26 -> 29 [size =\"14480384\"]\n  26 -> 32 [size =\"14480384\"]\n  26 -> 34 [size =\"14480384\"]\n  26 -> 35 [size =\"14480384\"]\n  26 -> 36 [size =\"14480384\"]\n  26 -> 40 [size =\"14480384\"]\n  26 -> 41 [size =\"14480384\"]\n  27 [size=\"46305280\", alpha=\"0.09\", expect_size=\"13891584\"] \n  27 -> 29 [size =\"13891584\"]\n  27 -> 30 [size =\"13891584\"]\n  27 -> 32 [size =\"13891584\"]\n  27 -> 33 [size =\"13891584\"]\n  27 -> 34 [size =\"13891584\"]\n  27 -> 41 [size =\"13891584\"]\n  28 [size=\"94713173\", alpha=\"0.05\", expect_size=\"28413952\"] \n  28 -> 43 [size =\"28413952\"]\n  28 -> 44 [size =\"28413952\"]\n  28 -> 45 [size =\"28413952\"]\n  29 [size=\"165266773\", alpha=\"0.06\", expect_size=\"49580032\"] \n  29 -> 42 [size =\"49580032\"]\n  30 [size=\"53971627\", alpha=\"0.10\", expect_size=\"16191488\"] \n  30 -> 42 [size =\"16191488\"]\n  30 -> 43 [size =\"16191488\"]\n  31 [size=\"101096107\", alpha=\"0.02\", expect_size=\"30328832\"] \n  31 -> 43 [size =\"30328832\"]\n  31 -> 44 [size =\"30328832\"]\n  32 [size=\"117432320\", alpha=\"0.08\", expect_size=\"35229696\"] \n  32 -> 43 [size =\"35229696\"]\n  32 -> 44 [size =\"35229696\"]\n  33 [size=\"105335467\", alpha=\"0.09\", expect_size=\"31600640\"] \n  33 -> 43 [size =\"31600640\"]\n  33 -> 44 [size =\"31600640\"]\n  34 [size=\"27883520\", alpha=\"0.15\", expect_size=\"8365056\"] \n  34 -> 43 [size =\"8365056\"]\n  34 -> 44 [size =\"8365056\"]\n  35 [size=\"112745813\", alpha=\"0.15\", expect_size=\"33823744\"] \n  35 -> 43 [size =\"33823744\"]\n  35 -> 44 [size =\"33823744\"]\n  36 [size=\"25808213\", alpha=\"0.12\", expect_size=\"7742464\"] \n  36 -> 43 [size =\"7742464\"]\n  36 -> 44 [size =\"7742464\"]\n  37 [size=\"25326933\", alpha=\"0.12\", expect_size=\"7598080\"] \n  37 -> 43 [size =\"7598080\"]\n  37 -> 44 [size =\"7598080\"]\n  38 [size=\"99665920\", alpha=\"0.15\", expect_size=\"29899776\"] \n  39 [size=\"137560747\", alpha=\"0.12\", expect_size=\"41268224\"] \n  39 -> 44 [size =\"41268224\"]\n  39 -> 45 [size =\"41268224\"]\n  40 [size=\"27695787\", alpha=\"0.01\", expect_size=\"8308736\"] \n  40 -> 43 [size =\"8308736\"]\n  40 -> 44 [size =\"8308736\"]\n  40 -> 45 [size =\"8308736\"]\n  41 [size=\"105178453\", alpha=\"0.13\", expect_size=\"31553536\"] \n  42 [size=\"118292480\", alpha=\"0.15\", expect_size=\"35487744\"] \n  43 [size=\"21763413\", alpha=\"0.06\", expect_size=\"6529024\"] \n  44 [size=\"88705707\", alpha=\"0.09\", expect_size=\"26611712\"] \n  45 [size=\"48312320\", alpha=\"0.19\", expect_size=\"14493696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99317760\", alpha=\"0.19\", expect_size=\"29795328\"] \n  1 -> 2 [size =\"29795328\"]\n  1 -> 3 [size =\"29795328\"]\n  1 -> 4 [size =\"29795328\"]\n  1 -> 5 [size =\"29795328\"]\n  2 [size=\"66689707\", alpha=\"0.17\", expect_size=\"20006912\"] \n  2 -> 6 [size =\"20006912\"]\n  2 -> 8 [size =\"20006912\"]\n  2 -> 8 [size =\"20006912\"]\n  3 [size=\"105127253\", alpha=\"0.15\", expect_size=\"31538176\"] \n  3 -> 6 [size =\"31538176\"]\n  3 -> 7 [size =\"31538176\"]\n  4 [size=\"104676693\", alpha=\"0.20\", expect_size=\"31403008\"] \n  4 -> 6 [size =\"31403008\"]\n  4 -> 7 [size =\"31403008\"]\n  5 [size=\"90586453\", alpha=\"0.01\", expect_size=\"27175936\"] \n  5 -> 6 [size =\"27175936\"]\n  5 -> 7 [size =\"27175936\"]\n  5 -> 8 [size =\"27175936\"]\n  6 [size=\"88811520\", alpha=\"0.19\", expect_size=\"26643456\"] \n  6 -> 10 [size =\"26643456\"]\n  6 -> 11 [size =\"26643456\"]\n  7 [size=\"36000427\", alpha=\"0.19\", expect_size=\"10800128\"] \n  7 -> 9 [size =\"10800128\"]\n  7 -> 10 [size =\"10800128\"]\n  7 -> 11 [size =\"10800128\"]\n  8 [size=\"131024213\", alpha=\"0.13\", expect_size=\"39307264\"] \n  8 -> 9 [size =\"39307264\"]\n  8 -> 10 [size =\"39307264\"]\n  8 -> 11 [size =\"39307264\"]\n  8 -> 12 [size =\"39307264\"]\n  9 [size=\"96938667\", alpha=\"0.10\", expect_size=\"29081600\"] \n  9 -> 13 [size =\"29081600\"]\n  9 -> 15 [size =\"29081600\"]\n  10 [size=\"26180267\", alpha=\"0.07\", expect_size=\"7854080\"] \n  10 -> 13 [size =\"7854080\"]\n  10 -> 14 [size =\"7854080\"]\n  11 [size=\"142264320\", alpha=\"0.07\", expect_size=\"42679296\"] \n  11 -> 13 [size =\"42679296\"]\n  12 [size=\"136724480\", alpha=\"0.16\", expect_size=\"41017344\"] \n  12 -> 13 [size =\"41017344\"]\n  13 [size=\"110107307\", alpha=\"0.05\", expect_size=\"33032192\"] \n  13 -> 16 [size =\"33032192\"]\n  13 -> 17 [size =\"33032192\"]\n  14 [size=\"70836907\", alpha=\"0.03\", expect_size=\"21251072\"] \n  15 [size=\"67123200\", alpha=\"0.07\", expect_size=\"20136960\"] \n  15 -> 17 [size =\"20136960\"]\n  16 [size=\"72034987\", alpha=\"0.03\", expect_size=\"21610496\"] \n  17 [size=\"62624427\", alpha=\"0.07\", expect_size=\"18787328\"] \n  17 -> 18 [size =\"18787328\"]\n  18 [size=\"58589867\", alpha=\"0.03\", expect_size=\"17576960\"] \n  18 -> 19 [size =\"17576960\"]\n  18 -> 20 [size =\"17576960\"]\n  18 -> 21 [size =\"17576960\"]\n  19 [size=\"163515733\", alpha=\"0.19\", expect_size=\"49054720\"] \n  19 -> 22 [size =\"49054720\"]\n  19 -> 23 [size =\"49054720\"]\n  19 -> 24 [size =\"49054720\"]\n  20 [size=\"86548480\", alpha=\"0.19\", expect_size=\"25964544\"] \n  20 -> 22 [size =\"25964544\"]\n  20 -> 23 [size =\"25964544\"]\n  21 [size=\"142073173\", alpha=\"0.09\", expect_size=\"42621952\"] \n  21 -> 22 [size =\"42621952\"]\n  21 -> 23 [size =\"42621952\"]\n  21 -> 24 [size =\"42621952\"]\n  22 [size=\"38871040\", alpha=\"0.06\", expect_size=\"11661312\"] \n  22 -> 25 [size =\"11661312\"]\n  22 -> 26 [size =\"11661312\"]\n  22 -> 27 [size =\"11661312\"]\n  23 [size=\"163631787\", alpha=\"0.14\", expect_size=\"49089536\"] \n  23 -> 25 [size =\"49089536\"]\n  23 -> 26 [size =\"49089536\"]\n  23 -> 27 [size =\"49089536\"]\n  24 [size=\"48855040\", alpha=\"0.13\", expect_size=\"14656512\"] \n  24 -> 25 [size =\"14656512\"]\n  24 -> 26 [size =\"14656512\"]\n  25 [size=\"76103680\", alpha=\"0.01\", expect_size=\"22831104\"] \n  25 -> 28 [size =\"22831104\"]\n  25 -> 29 [size =\"22831104\"]\n  26 [size=\"130041173\", alpha=\"0.18\", expect_size=\"39012352\"] \n  26 -> 30 [size =\"39012352\"]\n  27 [size=\"150903467\", alpha=\"0.18\", expect_size=\"45271040\"] \n  27 -> 28 [size =\"45271040\"]\n  27 -> 30 [size =\"45271040\"]\n  28 [size=\"49056427\", alpha=\"0.12\", expect_size=\"14716928\"] \n  28 -> 31 [size =\"14716928\"]\n  29 [size=\"70884693\", alpha=\"0.16\", expect_size=\"21265408\"] \n  29 -> 31 [size =\"21265408\"]\n  30 [size=\"62757547\", alpha=\"0.01\", expect_size=\"18827264\"] \n  30 -> 31 [size =\"18827264\"]\n  31 [size=\"54306133\", alpha=\"0.02\", expect_size=\"16291840\"] \n  31 -> 32 [size =\"16291840\"]\n  31 -> 33 [size =\"16291840\"]\n  31 -> 34 [size =\"16291840\"]\n  31 -> 35 [size =\"16291840\"]\n  32 [size=\"127378773\", alpha=\"0.18\", expect_size=\"38213632\"] \n  32 -> 36 [size =\"38213632\"]\n  32 -> 37 [size =\"38213632\"]\n  32 -> 38 [size =\"38213632\"]\n  33 [size=\"173905920\", alpha=\"0.06\", expect_size=\"52171776\"] \n  33 -> 36 [size =\"52171776\"]\n  33 -> 37 [size =\"52171776\"]\n  33 -> 38 [size =\"52171776\"]\n  34 [size=\"124248747\", alpha=\"0.01\", expect_size=\"37274624\"] \n  34 -> 36 [size =\"37274624\"]\n  34 -> 37 [size =\"37274624\"]\n  34 -> 38 [size =\"37274624\"]\n  35 [size=\"65611093\", alpha=\"0.02\", expect_size=\"19683328\"] \n  35 -> 36 [size =\"19683328\"]\n  35 -> 37 [size =\"19683328\"]\n  35 -> 38 [size =\"19683328\"]\n  36 [size=\"71109973\", alpha=\"0.10\", expect_size=\"21332992\"] \n  36 -> 39 [size =\"21332992\"]\n  37 [size=\"54790827\", alpha=\"0.04\", expect_size=\"16437248\"] \n  37 -> 39 [size =\"16437248\"]\n  37 -> 40 [size =\"16437248\"]\n  38 [size=\"35181227\", alpha=\"0.03\", expect_size=\"10554368\"] \n  38 -> 39 [size =\"10554368\"]\n  38 -> 40 [size =\"10554368\"]\n  39 [size=\"125832533\", alpha=\"0.01\", expect_size=\"37749760\"] \n  39 -> 41 [size =\"37749760\"]\n  39 -> 42 [size =\"37749760\"]\n  39 -> 43 [size =\"37749760\"]\n  39 -> 44 [size =\"37749760\"]\n  40 [size=\"91637760\", alpha=\"0.07\", expect_size=\"27491328\"] \n  40 -> 41 [size =\"27491328\"]\n  40 -> 42 [size =\"27491328\"]\n  40 -> 43 [size =\"27491328\"]\n  41 [size=\"98580480\", alpha=\"0.09\", expect_size=\"29574144\"] \n  41 -> 45 [size =\"29574144\"]\n  42 [size=\"114176000\", alpha=\"0.14\", expect_size=\"34252800\"] \n  43 [size=\"100379307\", alpha=\"0.18\", expect_size=\"30113792\"] \n  44 [size=\"149828267\", alpha=\"0.06\", expect_size=\"44948480\"] \n  44 -> 45 [size =\"44948480\"]\n  45 [size=\"158593707\", alpha=\"0.01\", expect_size=\"47578112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98836480\", alpha=\"0.11\", expect_size=\"39534592\"] \n  1 -> 39 [size =\"39534592\"]\n  1 -> 42 [size =\"39534592\"]\n  1 -> 45 [size =\"39534592\"]\n  2 [size=\"116147200\", alpha=\"0.14\", expect_size=\"46458880\"] \n  2 -> 39 [size =\"46458880\"]\n  2 -> 41 [size =\"46458880\"]\n  2 -> 42 [size =\"46458880\"]\n  3 [size=\"93288960\", alpha=\"0.06\", expect_size=\"37315584\"] \n  3 -> 41 [size =\"37315584\"]\n  3 -> 42 [size =\"37315584\"]\n  3 -> 45 [size =\"37315584\"]\n  4 [size=\"54364160\", alpha=\"0.13\", expect_size=\"21745664\"] \n  4 -> 41 [size =\"21745664\"]\n  4 -> 42 [size =\"21745664\"]\n  5 [size=\"33748480\", alpha=\"0.12\", expect_size=\"13499392\"] \n  6 [size=\"19351040\", alpha=\"0.06\", expect_size=\"7740416\"] \n  6 -> 39 [size =\"7740416\"]\n  7 [size=\"67663360\", alpha=\"0.15\", expect_size=\"27065344\"] \n  7 -> 39 [size =\"27065344\"]\n  7 -> 40 [size =\"27065344\"]\n  7 -> 41 [size =\"27065344\"]\n  7 -> 45 [size =\"27065344\"]\n  8 [size=\"49121280\", alpha=\"0.04\", expect_size=\"19648512\"] \n  8 -> 40 [size =\"19648512\"]\n  8 -> 45 [size =\"19648512\"]\n  9 [size=\"69813760\", alpha=\"0.03\", expect_size=\"27925504\"] \n  9 -> 39 [size =\"27925504\"]\n  9 -> 40 [size =\"27925504\"]\n  10 [size=\"24947200\", alpha=\"0.19\", expect_size=\"9978880\"] \n  10 -> 39 [size =\"9978880\"]\n  10 -> 40 [size =\"9978880\"]\n  10 -> 45 [size =\"9978880\"]\n  11 [size=\"121213440\", alpha=\"0.20\", expect_size=\"48485376\"] \n  11 -> 45 [size =\"48485376\"]\n  12 [size=\"66193920\", alpha=\"0.05\", expect_size=\"26477568\"] \n  12 -> 42 [size =\"26477568\"]\n  12 -> 45 [size =\"26477568\"]\n  13 [size=\"30279680\", alpha=\"0.02\", expect_size=\"12111872\"] \n  13 -> 40 [size =\"12111872\"]\n  14 [size=\"66101760\", alpha=\"0.05\", expect_size=\"26440704\"] \n  14 -> 45 [size =\"26440704\"]\n  15 [size=\"25428480\", alpha=\"0.00\", expect_size=\"10171392\"] \n  15 -> 41 [size =\"10171392\"]\n  15 -> 42 [size =\"10171392\"]\n  16 [size=\"96537600\", alpha=\"0.18\", expect_size=\"38615040\"] \n  17 [size=\"130757120\", alpha=\"0.09\", expect_size=\"52302848\"] \n  17 -> 39 [size =\"52302848\"]\n  17 -> 40 [size =\"52302848\"]\n  17 -> 43 [size =\"52302848\"]\n  17 -> 45 [size =\"52302848\"]\n  18 [size=\"99855360\", alpha=\"0.08\", expect_size=\"39942144\"] \n  18 -> 40 [size =\"39942144\"]\n  19 [size=\"124700160\", alpha=\"0.14\", expect_size=\"49880064\"] \n  19 -> 40 [size =\"49880064\"]\n  19 -> 45 [size =\"49880064\"]\n  20 [size=\"25973760\", alpha=\"0.02\", expect_size=\"10389504\"] \n  21 [size=\"18260480\", alpha=\"0.04\", expect_size=\"7304192\"] \n  21 -> 43 [size =\"7304192\"]\n  21 -> 44 [size =\"7304192\"]\n  21 -> 45 [size =\"7304192\"]\n  22 [size=\"16343040\", alpha=\"0.05\", expect_size=\"6537216\"] \n  23 [size=\"44646400\", alpha=\"0.18\", expect_size=\"17858560\"] \n  23 -> 42 [size =\"17858560\"]\n  23 -> 45 [size =\"17858560\"]\n  24 [size=\"56693760\", alpha=\"0.19\", expect_size=\"22677504\"] \n  24 -> 45 [size =\"22677504\"]\n  25 [size=\"86010880\", alpha=\"0.03\", expect_size=\"34404352\"] \n  25 -> 39 [size =\"34404352\"]\n  26 [size=\"87265280\", alpha=\"0.08\", expect_size=\"34906112\"] \n  27 [size=\"74147840\", alpha=\"0.03\", expect_size=\"29659136\"] \n  27 -> 45 [size =\"29659136\"]\n  28 [size=\"127001600\", alpha=\"0.04\", expect_size=\"50800640\"] \n  28 -> 39 [size =\"50800640\"]\n  28 -> 41 [size =\"50800640\"]\n  28 -> 45 [size =\"50800640\"]\n  29 [size=\"54625280\", alpha=\"0.14\", expect_size=\"21850112\"] \n  29 -> 39 [size =\"21850112\"]\n  30 [size=\"17287680\", alpha=\"0.06\", expect_size=\"6915072\"] \n  30 -> 39 [size =\"6915072\"]\n  30 -> 40 [size =\"6915072\"]\n  31 [size=\"27837440\", alpha=\"0.17\", expect_size=\"11134976\"] \n  31 -> 40 [size =\"11134976\"]\n  32 [size=\"54036480\", alpha=\"0.16\", expect_size=\"21614592\"] \n  32 -> 40 [size =\"21614592\"]\n  32 -> 42 [size =\"21614592\"]\n  33 [size=\"80962560\", alpha=\"0.19\", expect_size=\"32385024\"] \n  34 [size=\"70835200\", alpha=\"0.10\", expect_size=\"28334080\"] \n  35 [size=\"64913920\", alpha=\"0.04\", expect_size=\"25965568\"] \n  35 -> 41 [size =\"25965568\"]\n  36 [size=\"83837440\", alpha=\"0.12\", expect_size=\"33534976\"] \n  36 -> 40 [size =\"33534976\"]\n  36 -> 41 [size =\"33534976\"]\n  36 -> 42 [size =\"33534976\"]\n  36 -> 44 [size =\"33534976\"]\n  36 -> 45 [size =\"33534976\"]\n  37 [size=\"15889920\", alpha=\"0.19\", expect_size=\"6355968\"] \n  37 -> 40 [size =\"6355968\"]\n  38 [size=\"33594880\", alpha=\"0.02\", expect_size=\"13437952\"] \n  38 -> 42 [size =\"13437952\"]\n  38 -> 45 [size =\"13437952\"]\n  39 [size=\"55001600\", alpha=\"0.03\", expect_size=\"22000640\"] \n  40 [size=\"18851840\", alpha=\"0.06\", expect_size=\"7540736\"] \n  41 [size=\"54950400\", alpha=\"0.11\", expect_size=\"21980160\"] \n  42 [size=\"35481600\", alpha=\"0.16\", expect_size=\"14192640\"] \n  43 [size=\"13524480\", alpha=\"0.06\", expect_size=\"5409792\"] \n  44 [size=\"124224000\", alpha=\"0.03\", expect_size=\"49689600\"] \n  45 [size=\"66680320\", alpha=\"0.13\", expect_size=\"26672128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"148230827\", alpha=\"0.08\", expect_size=\"44469248\"] \n  2 [size=\"145554773\", alpha=\"0.06\", expect_size=\"43666432\"] \n  3 [size=\"141690880\", alpha=\"0.16\", expect_size=\"42507264\"] \n  4 [size=\"123241813\", alpha=\"0.05\", expect_size=\"36972544\"] \n  5 [size=\"42161493\", alpha=\"0.09\", expect_size=\"12648448\"] \n  5 -> 45 [size =\"12648448\"]\n  6 [size=\"108701013\", alpha=\"0.02\", expect_size=\"32610304\"] \n  7 [size=\"112704853\", alpha=\"0.03\", expect_size=\"33811456\"] \n  7 -> 45 [size =\"33811456\"]\n  8 [size=\"24616960\", alpha=\"0.13\", expect_size=\"7385088\"] \n  8 -> 45 [size =\"7385088\"]\n  9 [size=\"158661973\", alpha=\"0.17\", expect_size=\"47598592\"] \n  10 [size=\"131485013\", alpha=\"0.17\", expect_size=\"39445504\"] \n  11 [size=\"153726293\", alpha=\"0.00\", expect_size=\"46117888\"] \n  12 [size=\"59456853\", alpha=\"0.20\", expect_size=\"17837056\"] \n  12 -> 45 [size =\"17837056\"]\n  13 [size=\"104178347\", alpha=\"0.00\", expect_size=\"31253504\"] \n  14 [size=\"76025173\", alpha=\"0.19\", expect_size=\"22807552\"] \n  14 -> 45 [size =\"22807552\"]\n  15 [size=\"116408320\", alpha=\"0.03\", expect_size=\"34922496\"] \n  16 [size=\"32034133\", alpha=\"0.08\", expect_size=\"9610240\"] \n  17 [size=\"49448960\", alpha=\"0.02\", expect_size=\"14834688\"] \n  18 [size=\"71461547\", alpha=\"0.19\", expect_size=\"21438464\"] \n  19 [size=\"18722133\", alpha=\"0.13\", expect_size=\"5616640\"] \n  20 [size=\"151255040\", alpha=\"0.16\", expect_size=\"45376512\"] \n  20 -> 45 [size =\"45376512\"]\n  21 [size=\"124467200\", alpha=\"0.15\", expect_size=\"37340160\"] \n  21 -> 45 [size =\"37340160\"]\n  22 [size=\"127228587\", alpha=\"0.11\", expect_size=\"38168576\"] \n  22 -> 45 [size =\"38168576\"]\n  23 [size=\"126300160\", alpha=\"0.02\", expect_size=\"37890048\"] \n  24 [size=\"130024107\", alpha=\"0.07\", expect_size=\"39007232\"] \n  24 -> 45 [size =\"39007232\"]\n  25 [size=\"125364907\", alpha=\"0.15\", expect_size=\"37609472\"] \n  26 [size=\"148824747\", alpha=\"0.14\", expect_size=\"44647424\"] \n  26 -> 45 [size =\"44647424\"]\n  27 [size=\"56156160\", alpha=\"0.06\", expect_size=\"16846848\"] \n  27 -> 45 [size =\"16846848\"]\n  28 [size=\"67986773\", alpha=\"0.19\", expect_size=\"20396032\"] \n  29 [size=\"63133013\", alpha=\"0.09\", expect_size=\"18939904\"] \n  29 -> 45 [size =\"18939904\"]\n  30 [size=\"165836800\", alpha=\"0.14\", expect_size=\"49751040\"] \n  30 -> 45 [size =\"49751040\"]\n  31 [size=\"132201813\", alpha=\"0.16\", expect_size=\"39660544\"] \n  31 -> 45 [size =\"39660544\"]\n  32 [size=\"92982613\", alpha=\"0.04\", expect_size=\"27894784\"] \n  32 -> 45 [size =\"27894784\"]\n  33 [size=\"18974720\", alpha=\"0.03\", expect_size=\"5692416\"] \n  33 -> 45 [size =\"5692416\"]\n  34 [size=\"34396160\", alpha=\"0.09\", expect_size=\"10318848\"] \n  34 -> 45 [size =\"10318848\"]\n  35 [size=\"87726080\", alpha=\"0.08\", expect_size=\"26317824\"] \n  35 -> 45 [size =\"26317824\"]\n  36 [size=\"46366720\", alpha=\"0.08\", expect_size=\"13910016\"] \n  37 [size=\"158832640\", alpha=\"0.13\", expect_size=\"47649792\"] \n  38 [size=\"48489813\", alpha=\"0.05\", expect_size=\"14546944\"] \n  38 -> 45 [size =\"14546944\"]\n  39 [size=\"37058560\", alpha=\"0.16\", expect_size=\"11117568\"] \n  40 [size=\"108438187\", alpha=\"0.05\", expect_size=\"32531456\"] \n  41 [size=\"62064640\", alpha=\"0.07\", expect_size=\"18619392\"] \n  42 [size=\"34191360\", alpha=\"0.03\", expect_size=\"10257408\"] \n  42 -> 45 [size =\"10257408\"]\n  43 [size=\"66798933\", alpha=\"0.14\", expect_size=\"20039680\"] \n  44 [size=\"89306453\", alpha=\"0.18\", expect_size=\"26791936\"] \n  45 [size=\"160256000\", alpha=\"0.16\", expect_size=\"48076800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24832000\", alpha=\"0.19\", expect_size=\"12416000\"] \n  1 -> 4 [size =\"12416000\"]\n  2 [size=\"43147264\", alpha=\"0.05\", expect_size=\"21573632\"] \n  2 -> 3 [size =\"21573632\"]\n  3 [size=\"66791424\", alpha=\"0.08\", expect_size=\"33395712\"] \n  4 [size=\"53770240\", alpha=\"0.01\", expect_size=\"26885120\"] \n  4 -> 5 [size =\"26885120\"]\n  4 -> 6 [size =\"26885120\"]\n  4 -> 7 [size =\"26885120\"]\n  5 [size=\"77916160\", alpha=\"0.03\", expect_size=\"38958080\"] \n  5 -> 8 [size =\"38958080\"]\n  6 [size=\"50118656\", alpha=\"0.09\", expect_size=\"25059328\"] \n  6 -> 8 [size =\"25059328\"]\n  6 -> 9 [size =\"25059328\"]\n  6 -> 10 [size =\"25059328\"]\n  7 [size=\"103710720\", alpha=\"0.09\", expect_size=\"51855360\"] \n  7 -> 10 [size =\"51855360\"]\n  8 [size=\"54474752\", alpha=\"0.01\", expect_size=\"27237376\"] \n  8 -> 11 [size =\"27237376\"]\n  8 -> 12 [size =\"27237376\"]\n  9 [size=\"22753280\", alpha=\"0.06\", expect_size=\"11376640\"] \n  10 [size=\"22523904\", alpha=\"0.14\", expect_size=\"11261952\"] \n  10 -> 11 [size =\"11261952\"]\n  10 -> 12 [size =\"11261952\"]\n  11 [size=\"30588928\", alpha=\"0.17\", expect_size=\"15294464\"] \n  11 -> 13 [size =\"15294464\"]\n  11 -> 14 [size =\"15294464\"]\n  11 -> 15 [size =\"15294464\"]\n  12 [size=\"23730176\", alpha=\"0.19\", expect_size=\"11865088\"] \n  12 -> 14 [size =\"11865088\"]\n  13 [size=\"48592896\", alpha=\"0.15\", expect_size=\"24296448\"] \n  13 -> 16 [size =\"24296448\"]\n  14 [size=\"86360064\", alpha=\"0.04\", expect_size=\"43180032\"] \n  14 -> 17 [size =\"43180032\"]\n  14 -> 18 [size =\"43180032\"]\n  15 [size=\"91140096\", alpha=\"0.18\", expect_size=\"45570048\"] \n  15 -> 16 [size =\"45570048\"]\n  15 -> 18 [size =\"45570048\"]\n  16 [size=\"12980224\", alpha=\"0.12\", expect_size=\"6490112\"] \n  17 [size=\"54376448\", alpha=\"0.01\", expect_size=\"27188224\"] \n  17 -> 19 [size =\"27188224\"]\n  17 -> 20 [size =\"27188224\"]\n  18 [size=\"97855488\", alpha=\"0.10\", expect_size=\"48927744\"] \n  19 [size=\"100419584\", alpha=\"0.12\", expect_size=\"50209792\"] \n  19 -> 21 [size =\"50209792\"]\n  19 -> 22 [size =\"50209792\"]\n  20 [size=\"32231424\", alpha=\"0.01\", expect_size=\"16115712\"] \n  20 -> 21 [size =\"16115712\"]\n  20 -> 22 [size =\"16115712\"]\n  21 [size=\"99510272\", alpha=\"0.13\", expect_size=\"49755136\"] \n  21 -> 25 [size =\"49755136\"]\n  22 [size=\"84971520\", alpha=\"0.13\", expect_size=\"42485760\"] \n  22 -> 23 [size =\"42485760\"]\n  22 -> 24 [size =\"42485760\"]\n  23 [size=\"80664576\", alpha=\"0.04\", expect_size=\"40332288\"] \n  23 -> 26 [size =\"40332288\"]\n  23 -> 27 [size =\"40332288\"]\n  23 -> 28 [size =\"40332288\"]\n  24 [size=\"59088896\", alpha=\"0.04\", expect_size=\"29544448\"] \n  24 -> 26 [size =\"29544448\"]\n  24 -> 27 [size =\"29544448\"]\n  24 -> 28 [size =\"29544448\"]\n  25 [size=\"80232448\", alpha=\"0.19\", expect_size=\"40116224\"] \n  26 [size=\"72652800\", alpha=\"0.02\", expect_size=\"36326400\"] \n  26 -> 29 [size =\"36326400\"]\n  27 [size=\"33251328\", alpha=\"0.05\", expect_size=\"16625664\"] \n  27 -> 30 [size =\"16625664\"]\n  27 -> 31 [size =\"16625664\"]\n  28 [size=\"38907904\", alpha=\"0.17\", expect_size=\"19453952\"] \n  28 -> 30 [size =\"19453952\"]\n  28 -> 31 [size =\"19453952\"]\n  29 [size=\"85854208\", alpha=\"0.12\", expect_size=\"42927104\"] \n  29 -> 34 [size =\"42927104\"]\n  30 [size=\"45893632\", alpha=\"0.10\", expect_size=\"22946816\"] \n  30 -> 32 [size =\"22946816\"]\n  30 -> 33 [size =\"22946816\"]\n  31 [size=\"50176000\", alpha=\"0.11\", expect_size=\"25088000\"] \n  31 -> 32 [size =\"25088000\"]\n  31 -> 33 [size =\"25088000\"]\n  32 [size=\"18671616\", alpha=\"0.16\", expect_size=\"9335808\"] \n  33 [size=\"78415872\", alpha=\"0.08\", expect_size=\"39207936\"] \n  33 -> 36 [size =\"39207936\"]\n  34 [size=\"96976896\", alpha=\"0.17\", expect_size=\"48488448\"] \n  34 -> 35 [size =\"48488448\"]\n  34 -> 36 [size =\"48488448\"]\n  35 [size=\"23261184\", alpha=\"0.02\", expect_size=\"11630592\"] \n  35 -> 37 [size =\"11630592\"]\n  35 -> 38 [size =\"11630592\"]\n  36 [size=\"19077120\", alpha=\"0.09\", expect_size=\"9538560\"] \n  36 -> 37 [size =\"9538560\"]\n  36 -> 39 [size =\"9538560\"]\n  37 [size=\"29683712\", alpha=\"0.04\", expect_size=\"14841856\"] \n  37 -> 41 [size =\"14841856\"]\n  38 [size=\"53936128\", alpha=\"0.18\", expect_size=\"26968064\"] \n  38 -> 40 [size =\"26968064\"]\n  39 [size=\"41455616\", alpha=\"0.11\", expect_size=\"20727808\"] \n  40 [size=\"98877440\", alpha=\"0.09\", expect_size=\"49438720\"] \n  40 -> 42 [size =\"49438720\"]\n  41 [size=\"49502208\", alpha=\"0.05\", expect_size=\"24751104\"] \n  41 -> 42 [size =\"24751104\"]\n  41 -> 43 [size =\"24751104\"]\n  42 [size=\"102172672\", alpha=\"0.18\", expect_size=\"51086336\"] \n  42 -> 45 [size =\"51086336\"]\n  43 [size=\"81393664\", alpha=\"0.05\", expect_size=\"40696832\"] \n  43 -> 44 [size =\"40696832\"]\n  44 [size=\"25270272\", alpha=\"0.03\", expect_size=\"12635136\"] \n  45 [size=\"104048640\", alpha=\"0.15\", expect_size=\"52024320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98947072\", alpha=\"0.15\", expect_size=\"49473536\"] \n  1 -> 31 [size =\"49473536\"]\n  1 -> 32 [size =\"49473536\"]\n  1 -> 34 [size =\"49473536\"]\n  1 -> 35 [size =\"49473536\"]\n  1 -> 39 [size =\"49473536\"]\n  1 -> 40 [size =\"49473536\"]\n  1 -> 45 [size =\"49473536\"]\n  2 [size=\"34719744\", alpha=\"0.17\", expect_size=\"17359872\"] \n  2 -> 30 [size =\"17359872\"]\n  2 -> 32 [size =\"17359872\"]\n  2 -> 33 [size =\"17359872\"]\n  2 -> 39 [size =\"17359872\"]\n  2 -> 42 [size =\"17359872\"]\n  2 -> 43 [size =\"17359872\"]\n  3 [size=\"95574016\", alpha=\"0.07\", expect_size=\"47787008\"] \n  3 -> 30 [size =\"47787008\"]\n  3 -> 31 [size =\"47787008\"]\n  3 -> 32 [size =\"47787008\"]\n  3 -> 34 [size =\"47787008\"]\n  3 -> 35 [size =\"47787008\"]\n  3 -> 37 [size =\"47787008\"]\n  3 -> 38 [size =\"47787008\"]\n  3 -> 39 [size =\"47787008\"]\n  3 -> 41 [size =\"47787008\"]\n  3 -> 42 [size =\"47787008\"]\n  4 [size=\"104595456\", alpha=\"0.17\", expect_size=\"52297728\"] \n  4 -> 29 [size =\"52297728\"]\n  4 -> 31 [size =\"52297728\"]\n  4 -> 32 [size =\"52297728\"]\n  4 -> 33 [size =\"52297728\"]\n  4 -> 35 [size =\"52297728\"]\n  4 -> 36 [size =\"52297728\"]\n  4 -> 37 [size =\"52297728\"]\n  4 -> 40 [size =\"52297728\"]\n  4 -> 42 [size =\"52297728\"]\n  4 -> 43 [size =\"52297728\"]\n  4 -> 44 [size =\"52297728\"]\n  5 [size=\"71000064\", alpha=\"0.07\", expect_size=\"35500032\"] \n  5 -> 29 [size =\"35500032\"]\n  5 -> 31 [size =\"35500032\"]\n  5 -> 34 [size =\"35500032\"]\n  5 -> 35 [size =\"35500032\"]\n  5 -> 36 [size =\"35500032\"]\n  5 -> 37 [size =\"35500032\"]\n  5 -> 39 [size =\"35500032\"]\n  5 -> 40 [size =\"35500032\"]\n  5 -> 45 [size =\"35500032\"]\n  6 [size=\"68024320\", alpha=\"0.09\", expect_size=\"34012160\"] \n  6 -> 29 [size =\"34012160\"]\n  6 -> 31 [size =\"34012160\"]\n  6 -> 32 [size =\"34012160\"]\n  6 -> 36 [size =\"34012160\"]\n  6 -> 37 [size =\"34012160\"]\n  6 -> 38 [size =\"34012160\"]\n  6 -> 39 [size =\"34012160\"]\n  6 -> 40 [size =\"34012160\"]\n  6 -> 44 [size =\"34012160\"]\n  7 [size=\"34215936\", alpha=\"0.11\", expect_size=\"17107968\"] \n  7 -> 29 [size =\"17107968\"]\n  7 -> 31 [size =\"17107968\"]\n  7 -> 34 [size =\"17107968\"]\n  7 -> 35 [size =\"17107968\"]\n  7 -> 36 [size =\"17107968\"]\n  7 -> 37 [size =\"17107968\"]\n  7 -> 39 [size =\"17107968\"]\n  7 -> 44 [size =\"17107968\"]\n  8 [size=\"37767168\", alpha=\"0.03\", expect_size=\"18883584\"] \n  8 -> 30 [size =\"18883584\"]\n  8 -> 31 [size =\"18883584\"]\n  8 -> 34 [size =\"18883584\"]\n  8 -> 36 [size =\"18883584\"]\n  8 -> 39 [size =\"18883584\"]\n  8 -> 44 [size =\"18883584\"]\n  9 [size=\"87754752\", alpha=\"0.11\", expect_size=\"43877376\"] \n  9 -> 30 [size =\"43877376\"]\n  9 -> 34 [size =\"43877376\"]\n  9 -> 34 [size =\"43877376\"]\n  9 -> 35 [size =\"43877376\"]\n  9 -> 36 [size =\"43877376\"]\n  9 -> 37 [size =\"43877376\"]\n  9 -> 42 [size =\"43877376\"]\n  9 -> 44 [size =\"43877376\"]\n  10 [size=\"91113472\", alpha=\"0.15\", expect_size=\"45556736\"] \n  10 -> 29 [size =\"45556736\"]\n  10 -> 31 [size =\"45556736\"]\n  10 -> 34 [size =\"45556736\"]\n  10 -> 35 [size =\"45556736\"]\n  10 -> 36 [size =\"45556736\"]\n  10 -> 37 [size =\"45556736\"]\n  10 -> 39 [size =\"45556736\"]\n  10 -> 40 [size =\"45556736\"]\n  10 -> 44 [size =\"45556736\"]\n  11 [size=\"40898560\", alpha=\"0.11\", expect_size=\"20449280\"] \n  11 -> 30 [size =\"20449280\"]\n  11 -> 31 [size =\"20449280\"]\n  11 -> 35 [size =\"20449280\"]\n  11 -> 35 [size =\"20449280\"]\n  11 -> 36 [size =\"20449280\"]\n  11 -> 37 [size =\"20449280\"]\n  11 -> 39 [size =\"20449280\"]\n  11 -> 41 [size =\"20449280\"]\n  11 -> 44 [size =\"20449280\"]\n  12 [size=\"19109888\", alpha=\"0.05\", expect_size=\"9554944\"] \n  12 -> 31 [size =\"9554944\"]\n  12 -> 32 [size =\"9554944\"]\n  12 -> 35 [size =\"9554944\"]\n  12 -> 36 [size =\"9554944\"]\n  12 -> 36 [size =\"9554944\"]\n  12 -> 37 [size =\"9554944\"]\n  12 -> 38 [size =\"9554944\"]\n  12 -> 39 [size =\"9554944\"]\n  12 -> 41 [size =\"9554944\"]\n  12 -> 42 [size =\"9554944\"]\n  12 -> 44 [size =\"9554944\"]\n  13 [size=\"101683200\", alpha=\"0.09\", expect_size=\"50841600\"] \n  13 -> 30 [size =\"50841600\"]\n  13 -> 31 [size =\"50841600\"]\n  13 -> 34 [size =\"50841600\"]\n  13 -> 35 [size =\"50841600\"]\n  13 -> 36 [size =\"50841600\"]\n  13 -> 37 [size =\"50841600\"]\n  13 -> 44 [size =\"50841600\"]\n  14 [size=\"39471104\", alpha=\"0.04\", expect_size=\"19735552\"] \n  14 -> 30 [size =\"19735552\"]\n  14 -> 31 [size =\"19735552\"]\n  14 -> 32 [size =\"19735552\"]\n  14 -> 35 [size =\"19735552\"]\n  14 -> 36 [size =\"19735552\"]\n  14 -> 44 [size =\"19735552\"]\n  15 [size=\"26392576\", alpha=\"0.16\", expect_size=\"13196288\"] \n  15 -> 31 [size =\"13196288\"]\n  15 -> 31 [size =\"13196288\"]\n  15 -> 32 [size =\"13196288\"]\n  15 -> 33 [size =\"13196288\"]\n  15 -> 35 [size =\"13196288\"]\n  15 -> 39 [size =\"13196288\"]\n  15 -> 40 [size =\"13196288\"]\n  15 -> 43 [size =\"13196288\"]\n  15 -> 44 [size =\"13196288\"]\n  16 [size=\"57376768\", alpha=\"0.09\", expect_size=\"28688384\"] \n  16 -> 29 [size =\"28688384\"]\n  16 -> 31 [size =\"28688384\"]\n  16 -> 34 [size =\"28688384\"]\n  16 -> 35 [size =\"28688384\"]\n  16 -> 35 [size =\"28688384\"]\n  16 -> 36 [size =\"28688384\"]\n  16 -> 39 [size =\"28688384\"]\n  16 -> 44 [size =\"28688384\"]\n  16 -> 44 [size =\"28688384\"]\n  17 [size=\"98564096\", alpha=\"0.05\", expect_size=\"49282048\"] \n  17 -> 29 [size =\"49282048\"]\n  17 -> 30 [size =\"49282048\"]\n  17 -> 31 [size =\"49282048\"]\n  17 -> 34 [size =\"49282048\"]\n  17 -> 35 [size =\"49282048\"]\n  17 -> 36 [size =\"49282048\"]\n  17 -> 39 [size =\"49282048\"]\n  17 -> 40 [size =\"49282048\"]\n  17 -> 42 [size =\"49282048\"]\n  17 -> 43 [size =\"49282048\"]\n  18 [size=\"55939072\", alpha=\"0.12\", expect_size=\"27969536\"] \n  18 -> 29 [size =\"27969536\"]\n  18 -> 31 [size =\"27969536\"]\n  18 -> 34 [size =\"27969536\"]\n  18 -> 34 [size =\"27969536\"]\n  18 -> 35 [size =\"27969536\"]\n  18 -> 37 [size =\"27969536\"]\n  18 -> 39 [size =\"27969536\"]\n  18 -> 42 [size =\"27969536\"]\n  18 -> 44 [size =\"27969536\"]\n  19 [size=\"67909632\", alpha=\"0.04\", expect_size=\"33954816\"] \n  19 -> 30 [size =\"33954816\"]\n  19 -> 31 [size =\"33954816\"]\n  19 -> 32 [size =\"33954816\"]\n  19 -> 34 [size =\"33954816\"]\n  19 -> 35 [size =\"33954816\"]\n  19 -> 39 [size =\"33954816\"]\n  19 -> 43 [size =\"33954816\"]\n  20 [size=\"23762944\", alpha=\"0.01\", expect_size=\"11881472\"] \n  20 -> 31 [size =\"11881472\"]\n  20 -> 31 [size =\"11881472\"]\n  20 -> 32 [size =\"11881472\"]\n  20 -> 33 [size =\"11881472\"]\n  20 -> 34 [size =\"11881472\"]\n  20 -> 36 [size =\"11881472\"]\n  20 -> 38 [size =\"11881472\"]\n  20 -> 42 [size =\"11881472\"]\n  21 [size=\"93333504\", alpha=\"0.17\", expect_size=\"46666752\"] \n  21 -> 29 [size =\"46666752\"]\n  21 -> 31 [size =\"46666752\"]\n  21 -> 34 [size =\"46666752\"]\n  21 -> 35 [size =\"46666752\"]\n  21 -> 38 [size =\"46666752\"]\n  21 -> 39 [size =\"46666752\"]\n  21 -> 43 [size =\"46666752\"]\n  21 -> 44 [size =\"46666752\"]\n  22 [size=\"52441088\", alpha=\"0.19\", expect_size=\"26220544\"] \n  22 -> 29 [size =\"26220544\"]\n  22 -> 32 [size =\"26220544\"]\n  22 -> 34 [size =\"26220544\"]\n  22 -> 36 [size =\"26220544\"]\n  22 -> 38 [size =\"26220544\"]\n  22 -> 39 [size =\"26220544\"]\n  22 -> 43 [size =\"26220544\"]\n  22 -> 44 [size =\"26220544\"]\n  23 [size=\"77635584\", alpha=\"0.18\", expect_size=\"38817792\"] \n  23 -> 30 [size =\"38817792\"]\n  23 -> 31 [size =\"38817792\"]\n  23 -> 32 [size =\"38817792\"]\n  23 -> 34 [size =\"38817792\"]\n  23 -> 35 [size =\"38817792\"]\n  23 -> 36 [size =\"38817792\"]\n  23 -> 38 [size =\"38817792\"]\n  23 -> 39 [size =\"38817792\"]\n  23 -> 41 [size =\"38817792\"]\n  24 [size=\"27420672\", alpha=\"0.17\", expect_size=\"13710336\"] \n  24 -> 29 [size =\"13710336\"]\n  24 -> 31 [size =\"13710336\"]\n  24 -> 32 [size =\"13710336\"]\n  24 -> 34 [size =\"13710336\"]\n  24 -> 35 [size =\"13710336\"]\n  24 -> 36 [size =\"13710336\"]\n  24 -> 37 [size =\"13710336\"]\n  24 -> 38 [size =\"13710336\"]\n  24 -> 39 [size =\"13710336\"]\n  24 -> 41 [size =\"13710336\"]\n  24 -> 44 [size =\"13710336\"]\n  25 [size=\"48150528\", alpha=\"0.09\", expect_size=\"24075264\"] \n  25 -> 31 [size =\"24075264\"]\n  25 -> 34 [size =\"24075264\"]\n  25 -> 35 [size =\"24075264\"]\n  25 -> 36 [size =\"24075264\"]\n  25 -> 38 [size =\"24075264\"]\n  25 -> 39 [size =\"24075264\"]\n  26 [size=\"31215616\", alpha=\"0.14\", expect_size=\"15607808\"] \n  26 -> 31 [size =\"15607808\"]\n  26 -> 32 [size =\"15607808\"]\n  26 -> 34 [size =\"15607808\"]\n  26 -> 35 [size =\"15607808\"]\n  26 -> 36 [size =\"15607808\"]\n  26 -> 42 [size =\"15607808\"]\n  26 -> 43 [size =\"15607808\"]\n  26 -> 45 [size =\"15607808\"]\n  27 [size=\"75765760\", alpha=\"0.03\", expect_size=\"37882880\"] \n  27 -> 30 [size =\"37882880\"]\n  27 -> 34 [size =\"37882880\"]\n  27 -> 34 [size =\"37882880\"]\n  27 -> 35 [size =\"37882880\"]\n  27 -> 36 [size =\"37882880\"]\n  27 -> 39 [size =\"37882880\"]\n  28 [size=\"99262464\", alpha=\"0.18\", expect_size=\"49631232\"] \n  28 -> 30 [size =\"49631232\"]\n  28 -> 33 [size =\"49631232\"]\n  28 -> 34 [size =\"49631232\"]\n  28 -> 35 [size =\"49631232\"]\n  28 -> 38 [size =\"49631232\"]\n  28 -> 39 [size =\"49631232\"]\n  28 -> 40 [size =\"49631232\"]\n  28 -> 42 [size =\"49631232\"]\n  28 -> 43 [size =\"49631232\"]\n  29 [size=\"62156800\", alpha=\"0.10\", expect_size=\"31078400\"] \n  30 [size=\"79812608\", alpha=\"0.18\", expect_size=\"39906304\"] \n  31 [size=\"85334016\", alpha=\"0.13\", expect_size=\"42667008\"] \n  32 [size=\"72812544\", alpha=\"0.10\", expect_size=\"36406272\"] \n  33 [size=\"66482176\", alpha=\"0.06\", expect_size=\"33241088\"] \n  34 [size=\"57059328\", alpha=\"0.09\", expect_size=\"28529664\"] \n  35 [size=\"44285952\", alpha=\"0.14\", expect_size=\"22142976\"] \n  36 [size=\"88676352\", alpha=\"0.10\", expect_size=\"44338176\"] \n  37 [size=\"59025408\", alpha=\"0.04\", expect_size=\"29512704\"] \n  38 [size=\"73435136\", alpha=\"0.08\", expect_size=\"36717568\"] \n  39 [size=\"64817152\", alpha=\"0.04\", expect_size=\"32408576\"] \n  40 [size=\"16070656\", alpha=\"0.03\", expect_size=\"8035328\"] \n  41 [size=\"102195200\", alpha=\"0.20\", expect_size=\"51097600\"] \n  42 [size=\"70490112\", alpha=\"0.05\", expect_size=\"35245056\"] \n  43 [size=\"23953408\", alpha=\"0.05\", expect_size=\"11976704\"] \n  44 [size=\"53782528\", alpha=\"0.08\", expect_size=\"26891264\"] \n  45 [size=\"94593024\", alpha=\"0.19\", expect_size=\"47296512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82636800\", alpha=\"0.18\", expect_size=\"41318400\"] \n  1 -> 2 [size =\"41318400\"]\n  2 [size=\"48044032\", alpha=\"0.13\", expect_size=\"24022016\"] \n  2 -> 3 [size =\"24022016\"]\n  3 [size=\"84940800\", alpha=\"0.12\", expect_size=\"42470400\"] \n  3 -> 4 [size =\"42470400\"]\n  4 [size=\"40177664\", alpha=\"0.03\", expect_size=\"20088832\"] \n  4 -> 5 [size =\"20088832\"]\n  5 [size=\"14897152\", alpha=\"0.17\", expect_size=\"7448576\"] \n  5 -> 6 [size =\"7448576\"]\n  6 [size=\"12556288\", alpha=\"0.20\", expect_size=\"6278144\"] \n  6 -> 7 [size =\"6278144\"]\n  7 [size=\"37885952\", alpha=\"0.02\", expect_size=\"18942976\"] \n  7 -> 8 [size =\"18942976\"]\n  8 [size=\"76056576\", alpha=\"0.02\", expect_size=\"38028288\"] \n  8 -> 9 [size =\"38028288\"]\n  9 [size=\"63606784\", alpha=\"0.09\", expect_size=\"31803392\"] \n  9 -> 10 [size =\"31803392\"]\n  10 [size=\"84918272\", alpha=\"0.08\", expect_size=\"42459136\"] \n  10 -> 11 [size =\"42459136\"]\n  11 [size=\"55494656\", alpha=\"0.06\", expect_size=\"27747328\"] \n  11 -> 12 [size =\"27747328\"]\n  12 [size=\"43814912\", alpha=\"0.15\", expect_size=\"21907456\"] \n  12 -> 13 [size =\"21907456\"]\n  13 [size=\"103436288\", alpha=\"0.02\", expect_size=\"51718144\"] \n  13 -> 14 [size =\"51718144\"]\n  14 [size=\"63762432\", alpha=\"0.05\", expect_size=\"31881216\"] \n  14 -> 15 [size =\"31881216\"]\n  15 [size=\"78577664\", alpha=\"0.17\", expect_size=\"39288832\"] \n  15 -> 16 [size =\"39288832\"]\n  16 [size=\"65718272\", alpha=\"0.10\", expect_size=\"32859136\"] \n  16 -> 17 [size =\"32859136\"]\n  17 [size=\"64684032\", alpha=\"0.06\", expect_size=\"32342016\"] \n  17 -> 18 [size =\"32342016\"]\n  18 [size=\"72245248\", alpha=\"0.18\", expect_size=\"36122624\"] \n  18 -> 19 [size =\"36122624\"]\n  19 [size=\"80609280\", alpha=\"0.07\", expect_size=\"40304640\"] \n  19 -> 20 [size =\"40304640\"]\n  20 [size=\"29784064\", alpha=\"0.19\", expect_size=\"14892032\"] \n  20 -> 21 [size =\"14892032\"]\n  21 [size=\"65777664\", alpha=\"0.06\", expect_size=\"32888832\"] \n  21 -> 22 [size =\"32888832\"]\n  22 [size=\"95301632\", alpha=\"0.01\", expect_size=\"47650816\"] \n  22 -> 23 [size =\"47650816\"]\n  23 [size=\"73777152\", alpha=\"0.12\", expect_size=\"36888576\"] \n  23 -> 24 [size =\"36888576\"]\n  24 [size=\"83615744\", alpha=\"0.09\", expect_size=\"41807872\"] \n  24 -> 25 [size =\"41807872\"]\n  25 [size=\"11831296\", alpha=\"0.07\", expect_size=\"5915648\"] \n  25 -> 26 [size =\"5915648\"]\n  26 [size=\"90068992\", alpha=\"0.05\", expect_size=\"45034496\"] \n  26 -> 27 [size =\"45034496\"]\n  27 [size=\"43147264\", alpha=\"0.10\", expect_size=\"21573632\"] \n  27 -> 28 [size =\"21573632\"]\n  28 [size=\"71477248\", alpha=\"0.08\", expect_size=\"35738624\"] \n  28 -> 29 [size =\"35738624\"]\n  29 [size=\"63582208\", alpha=\"0.17\", expect_size=\"31791104\"] \n  29 -> 30 [size =\"31791104\"]\n  30 [size=\"97558528\", alpha=\"0.02\", expect_size=\"48779264\"] \n  30 -> 31 [size =\"48779264\"]\n  31 [size=\"92676096\", alpha=\"0.17\", expect_size=\"46338048\"] \n  31 -> 32 [size =\"46338048\"]\n  32 [size=\"26714112\", alpha=\"0.19\", expect_size=\"13357056\"] \n  32 -> 33 [size =\"13357056\"]\n  33 [size=\"31604736\", alpha=\"0.00\", expect_size=\"15802368\"] \n  33 -> 34 [size =\"15802368\"]\n  34 [size=\"87429120\", alpha=\"0.13\", expect_size=\"43714560\"] \n  34 -> 35 [size =\"43714560\"]\n  35 [size=\"35135488\", alpha=\"0.00\", expect_size=\"17567744\"] \n  35 -> 36 [size =\"17567744\"]\n  36 [size=\"67883008\", alpha=\"0.19\", expect_size=\"33941504\"] \n  36 -> 37 [size =\"33941504\"]\n  37 [size=\"93368320\", alpha=\"0.10\", expect_size=\"46684160\"] \n  37 -> 38 [size =\"46684160\"]\n  38 [size=\"44619776\", alpha=\"0.13\", expect_size=\"22309888\"] \n  38 -> 39 [size =\"22309888\"]\n  39 [size=\"81584128\", alpha=\"0.12\", expect_size=\"40792064\"] \n  39 -> 40 [size =\"40792064\"]\n  40 [size=\"68634624\", alpha=\"0.14\", expect_size=\"34317312\"] \n  40 -> 41 [size =\"34317312\"]\n  41 [size=\"80209920\", alpha=\"0.08\", expect_size=\"40104960\"] \n  41 -> 42 [size =\"40104960\"]\n  42 [size=\"66945024\", alpha=\"0.00\", expect_size=\"33472512\"] \n  42 -> 43 [size =\"33472512\"]\n  43 [size=\"62169088\", alpha=\"0.06\", expect_size=\"31084544\"] \n  43 -> 44 [size =\"31084544\"]\n  44 [size=\"64464896\", alpha=\"0.07\", expect_size=\"32232448\"] \n  44 -> 45 [size =\"32232448\"]\n  45 [size=\"32737280\", alpha=\"0.08\", expect_size=\"16368640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69923840\", alpha=\"0.06\", expect_size=\"27969536\"] \n  1 -> 2 [size =\"27969536\"]\n  2 [size=\"30141440\", alpha=\"0.17\", expect_size=\"12056576\"] \n  2 -> 3 [size =\"12056576\"]\n  3 [size=\"93406720\", alpha=\"0.04\", expect_size=\"37362688\"] \n  3 -> 4 [size =\"37362688\"]\n  4 [size=\"66076160\", alpha=\"0.05\", expect_size=\"26430464\"] \n  4 -> 5 [size =\"26430464\"]\n  5 [size=\"25013760\", alpha=\"0.03\", expect_size=\"10005504\"] \n  5 -> 6 [size =\"10005504\"]\n  6 [size=\"96156160\", alpha=\"0.14\", expect_size=\"38462464\"] \n  6 -> 7 [size =\"38462464\"]\n  7 [size=\"63424000\", alpha=\"0.17\", expect_size=\"25369600\"] \n  7 -> 8 [size =\"25369600\"]\n  8 [size=\"90201600\", alpha=\"0.13\", expect_size=\"36080640\"] \n  8 -> 9 [size =\"36080640\"]\n  9 [size=\"123392000\", alpha=\"0.10\", expect_size=\"49356800\"] \n  9 -> 10 [size =\"49356800\"]\n  10 [size=\"24220160\", alpha=\"0.14\", expect_size=\"9688064\"] \n  10 -> 11 [size =\"9688064\"]\n  11 [size=\"110003200\", alpha=\"0.16\", expect_size=\"44001280\"] \n  11 -> 12 [size =\"44001280\"]\n  12 [size=\"25236480\", alpha=\"0.07\", expect_size=\"10094592\"] \n  12 -> 13 [size =\"10094592\"]\n  13 [size=\"127265280\", alpha=\"0.18\", expect_size=\"50906112\"] \n  13 -> 14 [size =\"50906112\"]\n  14 [size=\"35755520\", alpha=\"0.14\", expect_size=\"14302208\"] \n  14 -> 15 [size =\"14302208\"]\n  15 [size=\"67407360\", alpha=\"0.08\", expect_size=\"26962944\"] \n  15 -> 16 [size =\"26962944\"]\n  16 [size=\"87544320\", alpha=\"0.18\", expect_size=\"35017728\"] \n  16 -> 17 [size =\"35017728\"]\n  17 [size=\"53511680\", alpha=\"0.08\", expect_size=\"21404672\"] \n  17 -> 18 [size =\"21404672\"]\n  18 [size=\"37248000\", alpha=\"0.19\", expect_size=\"14899200\"] \n  18 -> 19 [size =\"14899200\"]\n  19 [size=\"114716160\", alpha=\"0.16\", expect_size=\"45886464\"] \n  19 -> 20 [size =\"45886464\"]\n  20 [size=\"54597120\", alpha=\"0.00\", expect_size=\"21838848\"] \n  20 -> 21 [size =\"21838848\"]\n  21 [size=\"16865280\", alpha=\"0.14\", expect_size=\"6746112\"] \n  21 -> 22 [size =\"6746112\"]\n  22 [size=\"112192000\", alpha=\"0.11\", expect_size=\"44876800\"] \n  22 -> 23 [size =\"44876800\"]\n  23 [size=\"36559360\", alpha=\"0.01\", expect_size=\"14623744\"] \n  23 -> 24 [size =\"14623744\"]\n  24 [size=\"24911360\", alpha=\"0.00\", expect_size=\"9964544\"] \n  24 -> 25 [size =\"9964544\"]\n  25 [size=\"109488640\", alpha=\"0.02\", expect_size=\"43795456\"] \n  25 -> 26 [size =\"43795456\"]\n  26 [size=\"37655040\", alpha=\"0.17\", expect_size=\"15062016\"] \n  26 -> 27 [size =\"15062016\"]\n  27 [size=\"25320960\", alpha=\"0.01\", expect_size=\"10128384\"] \n  27 -> 28 [size =\"10128384\"]\n  28 [size=\"69716480\", alpha=\"0.18\", expect_size=\"27886592\"] \n  28 -> 29 [size =\"27886592\"]\n  29 [size=\"66385920\", alpha=\"0.14\", expect_size=\"26554368\"] \n  29 -> 30 [size =\"26554368\"]\n  30 [size=\"43120640\", alpha=\"0.11\", expect_size=\"17248256\"] \n  30 -> 31 [size =\"17248256\"]\n  31 [size=\"44449280\", alpha=\"0.05\", expect_size=\"17779712\"] \n  31 -> 32 [size =\"17779712\"]\n  32 [size=\"127188480\", alpha=\"0.01\", expect_size=\"50875392\"] \n  32 -> 33 [size =\"50875392\"]\n  33 [size=\"72448000\", alpha=\"0.17\", expect_size=\"28979200\"] \n  33 -> 34 [size =\"28979200\"]\n  34 [size=\"78489600\", alpha=\"0.16\", expect_size=\"31395840\"] \n  34 -> 35 [size =\"31395840\"]\n  35 [size=\"80322560\", alpha=\"0.04\", expect_size=\"32129024\"] \n  35 -> 36 [size =\"32129024\"]\n  36 [size=\"89850880\", alpha=\"0.05\", expect_size=\"35940352\"] \n  36 -> 37 [size =\"35940352\"]\n  37 [size=\"72163840\", alpha=\"0.13\", expect_size=\"28865536\"] \n  37 -> 38 [size =\"28865536\"]\n  38 [size=\"77575680\", alpha=\"0.05\", expect_size=\"31030272\"] \n  38 -> 39 [size =\"31030272\"]\n  39 [size=\"65221120\", alpha=\"0.15\", expect_size=\"26088448\"] \n  39 -> 40 [size =\"26088448\"]\n  40 [size=\"27417600\", alpha=\"0.11\", expect_size=\"10967040\"] \n  40 -> 41 [size =\"10967040\"]\n  41 [size=\"93242880\", alpha=\"0.08\", expect_size=\"37297152\"] \n  41 -> 42 [size =\"37297152\"]\n  42 [size=\"123668480\", alpha=\"0.02\", expect_size=\"49467392\"] \n  42 -> 43 [size =\"49467392\"]\n  43 [size=\"130823680\", alpha=\"0.19\", expect_size=\"52329472\"] \n  43 -> 44 [size =\"52329472\"]\n  44 [size=\"110901760\", alpha=\"0.19\", expect_size=\"44360704\"] \n  44 -> 45 [size =\"44360704\"]\n  45 [size=\"86553600\", alpha=\"0.15\", expect_size=\"34621440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57644373\", alpha=\"0.08\", expect_size=\"17293312\"] \n  1 -> 37 [size =\"17293312\"]\n  1 -> 42 [size =\"17293312\"]\n  1 -> 43 [size =\"17293312\"]\n  2 [size=\"30778027\", alpha=\"0.03\", expect_size=\"9233408\"] \n  2 -> 37 [size =\"9233408\"]\n  2 -> 40 [size =\"9233408\"]\n  2 -> 42 [size =\"9233408\"]\n  3 [size=\"133601280\", alpha=\"0.18\", expect_size=\"40080384\"] \n  3 -> 39 [size =\"40080384\"]\n  3 -> 42 [size =\"40080384\"]\n  3 -> 42 [size =\"40080384\"]\n  4 [size=\"170584747\", alpha=\"0.14\", expect_size=\"51175424\"] \n  4 -> 39 [size =\"51175424\"]\n  4 -> 42 [size =\"51175424\"]\n  4 -> 44 [size =\"51175424\"]\n  4 -> 45 [size =\"51175424\"]\n  5 [size=\"111380480\", alpha=\"0.08\", expect_size=\"33414144\"] \n  5 -> 38 [size =\"33414144\"]\n  5 -> 42 [size =\"33414144\"]\n  5 -> 43 [size =\"33414144\"]\n  5 -> 44 [size =\"33414144\"]\n  6 [size=\"128061440\", alpha=\"0.08\", expect_size=\"38418432\"] \n  6 -> 41 [size =\"38418432\"]\n  6 -> 43 [size =\"38418432\"]\n  6 -> 43 [size =\"38418432\"]\n  6 -> 44 [size =\"38418432\"]\n  7 [size=\"126836053\", alpha=\"0.15\", expect_size=\"38050816\"] \n  7 -> 37 [size =\"38050816\"]\n  7 -> 39 [size =\"38050816\"]\n  7 -> 43 [size =\"38050816\"]\n  8 [size=\"100471467\", alpha=\"0.00\", expect_size=\"30141440\"] \n  8 -> 37 [size =\"30141440\"]\n  8 -> 39 [size =\"30141440\"]\n  8 -> 43 [size =\"30141440\"]\n  8 -> 44 [size =\"30141440\"]\n  8 -> 45 [size =\"30141440\"]\n  9 [size=\"31914667\", alpha=\"0.02\", expect_size=\"9574400\"] \n  9 -> 37 [size =\"9574400\"]\n  9 -> 38 [size =\"9574400\"]\n  9 -> 39 [size =\"9574400\"]\n  9 -> 43 [size =\"9574400\"]\n  10 [size=\"57545387\", alpha=\"0.19\", expect_size=\"17263616\"] \n  10 -> 39 [size =\"17263616\"]\n  10 -> 43 [size =\"17263616\"]\n  10 -> 44 [size =\"17263616\"]\n  11 [size=\"128266240\", alpha=\"0.14\", expect_size=\"38479872\"] \n  11 -> 39 [size =\"38479872\"]\n  11 -> 40 [size =\"38479872\"]\n  11 -> 42 [size =\"38479872\"]\n  11 -> 43 [size =\"38479872\"]\n  12 [size=\"30279680\", alpha=\"0.01\", expect_size=\"9083904\"] \n  12 -> 40 [size =\"9083904\"]\n  12 -> 43 [size =\"9083904\"]\n  12 -> 44 [size =\"9083904\"]\n  12 -> 45 [size =\"9083904\"]\n  13 [size=\"53760000\", alpha=\"0.06\", expect_size=\"16128000\"] \n  13 -> 37 [size =\"16128000\"]\n  13 -> 39 [size =\"16128000\"]\n  13 -> 42 [size =\"16128000\"]\n  13 -> 43 [size =\"16128000\"]\n  13 -> 44 [size =\"16128000\"]\n  14 [size=\"38369280\", alpha=\"0.19\", expect_size=\"11510784\"] \n  14 -> 39 [size =\"11510784\"]\n  14 -> 40 [size =\"11510784\"]\n  14 -> 43 [size =\"11510784\"]\n  14 -> 44 [size =\"11510784\"]\n  15 [size=\"144868693\", alpha=\"0.06\", expect_size=\"43460608\"] \n  15 -> 43 [size =\"43460608\"]\n  15 -> 44 [size =\"43460608\"]\n  16 [size=\"54190080\", alpha=\"0.12\", expect_size=\"16257024\"] \n  16 -> 37 [size =\"16257024\"]\n  16 -> 39 [size =\"16257024\"]\n  16 -> 43 [size =\"16257024\"]\n  16 -> 44 [size =\"16257024\"]\n  17 [size=\"119224320\", alpha=\"0.14\", expect_size=\"35767296\"] \n  17 -> 38 [size =\"35767296\"]\n  17 -> 45 [size =\"35767296\"]\n  18 [size=\"83312640\", alpha=\"0.09\", expect_size=\"24993792\"] \n  18 -> 38 [size =\"24993792\"]\n  18 -> 40 [size =\"24993792\"]\n  18 -> 42 [size =\"24993792\"]\n  18 -> 43 [size =\"24993792\"]\n  19 [size=\"84811093\", alpha=\"0.14\", expect_size=\"25443328\"] \n  19 -> 39 [size =\"25443328\"]\n  19 -> 43 [size =\"25443328\"]\n  19 -> 44 [size =\"25443328\"]\n  20 [size=\"99689813\", alpha=\"0.16\", expect_size=\"29906944\"] \n  20 -> 39 [size =\"29906944\"]\n  20 -> 41 [size =\"29906944\"]\n  21 [size=\"91818667\", alpha=\"0.02\", expect_size=\"27545600\"] \n  21 -> 43 [size =\"27545600\"]\n  22 [size=\"44660053\", alpha=\"0.10\", expect_size=\"13398016\"] \n  22 -> 39 [size =\"13398016\"]\n  22 -> 43 [size =\"13398016\"]\n  23 [size=\"55132160\", alpha=\"0.13\", expect_size=\"16539648\"] \n  23 -> 37 [size =\"16539648\"]\n  23 -> 40 [size =\"16539648\"]\n  23 -> 42 [size =\"16539648\"]\n  23 -> 44 [size =\"16539648\"]\n  24 [size=\"98478080\", alpha=\"0.16\", expect_size=\"29543424\"] \n  24 -> 37 [size =\"29543424\"]\n  24 -> 40 [size =\"29543424\"]\n  24 -> 42 [size =\"29543424\"]\n  25 [size=\"88309760\", alpha=\"0.10\", expect_size=\"26492928\"] \n  25 -> 39 [size =\"26492928\"]\n  25 -> 42 [size =\"26492928\"]\n  25 -> 44 [size =\"26492928\"]\n  26 [size=\"134615040\", alpha=\"0.19\", expect_size=\"40384512\"] \n  26 -> 39 [size =\"40384512\"]\n  26 -> 41 [size =\"40384512\"]\n  26 -> 42 [size =\"40384512\"]\n  26 -> 44 [size =\"40384512\"]\n  27 [size=\"72680107\", alpha=\"0.01\", expect_size=\"21804032\"] \n  27 -> 41 [size =\"21804032\"]\n  27 -> 43 [size =\"21804032\"]\n  27 -> 44 [size =\"21804032\"]\n  28 [size=\"27108693\", alpha=\"0.14\", expect_size=\"8132608\"] \n  28 -> 37 [size =\"8132608\"]\n  28 -> 42 [size =\"8132608\"]\n  28 -> 43 [size =\"8132608\"]\n  28 -> 44 [size =\"8132608\"]\n  29 [size=\"97645227\", alpha=\"0.09\", expect_size=\"29293568\"] \n  29 -> 37 [size =\"29293568\"]\n  29 -> 38 [size =\"29293568\"]\n  29 -> 42 [size =\"29293568\"]\n  29 -> 44 [size =\"29293568\"]\n  29 -> 45 [size =\"29293568\"]\n  30 [size=\"51377493\", alpha=\"0.09\", expect_size=\"15413248\"] \n  30 -> 37 [size =\"15413248\"]\n  30 -> 42 [size =\"15413248\"]\n  31 [size=\"173943467\", alpha=\"0.03\", expect_size=\"52183040\"] \n  31 -> 37 [size =\"52183040\"]\n  31 -> 39 [size =\"52183040\"]\n  31 -> 40 [size =\"52183040\"]\n  31 -> 42 [size =\"52183040\"]\n  31 -> 43 [size =\"52183040\"]\n  32 [size=\"33652053\", alpha=\"0.19\", expect_size=\"10095616\"] \n  32 -> 38 [size =\"10095616\"]\n  32 -> 40 [size =\"10095616\"]\n  32 -> 43 [size =\"10095616\"]\n  32 -> 45 [size =\"10095616\"]\n  33 [size=\"115664213\", alpha=\"0.19\", expect_size=\"34699264\"] \n  33 -> 37 [size =\"34699264\"]\n  33 -> 39 [size =\"34699264\"]\n  33 -> 40 [size =\"34699264\"]\n  33 -> 43 [size =\"34699264\"]\n  33 -> 44 [size =\"34699264\"]\n  33 -> 45 [size =\"34699264\"]\n  34 [size=\"64249173\", alpha=\"0.02\", expect_size=\"19274752\"] \n  34 -> 37 [size =\"19274752\"]\n  34 -> 38 [size =\"19274752\"]\n  34 -> 39 [size =\"19274752\"]\n  34 -> 40 [size =\"19274752\"]\n  34 -> 42 [size =\"19274752\"]\n  34 -> 43 [size =\"19274752\"]\n  35 [size=\"32515413\", alpha=\"0.01\", expect_size=\"9754624\"] \n  35 -> 37 [size =\"9754624\"]\n  35 -> 42 [size =\"9754624\"]\n  35 -> 44 [size =\"9754624\"]\n  36 [size=\"114370560\", alpha=\"0.05\", expect_size=\"34311168\"] \n  36 -> 37 [size =\"34311168\"]\n  36 -> 44 [size =\"34311168\"]\n  36 -> 45 [size =\"34311168\"]\n  37 [size=\"105826987\", alpha=\"0.01\", expect_size=\"31748096\"] \n  38 [size=\"116251307\", alpha=\"0.06\", expect_size=\"34875392\"] \n  39 [size=\"71345493\", alpha=\"0.20\", expect_size=\"21403648\"] \n  40 [size=\"142841173\", alpha=\"0.04\", expect_size=\"42852352\"] \n  41 [size=\"56234667\", alpha=\"0.18\", expect_size=\"16870400\"] \n  42 [size=\"79602347\", alpha=\"0.14\", expect_size=\"23880704\"] \n  43 [size=\"68464640\", alpha=\"0.16\", expect_size=\"20539392\"] \n  44 [size=\"59105280\", alpha=\"0.08\", expect_size=\"17731584\"] \n  45 [size=\"72420693\", alpha=\"0.09\", expect_size=\"21726208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50845696\", alpha=\"0.13\", expect_size=\"25422848\"] \n  1 -> 2 [size =\"25422848\"]\n  2 [size=\"72681472\", alpha=\"0.17\", expect_size=\"36340736\"] \n  2 -> 3 [size =\"36340736\"]\n  3 [size=\"57530368\", alpha=\"0.01\", expect_size=\"28765184\"] \n  3 -> 4 [size =\"28765184\"]\n  4 [size=\"82919424\", alpha=\"0.00\", expect_size=\"41459712\"] \n  4 -> 5 [size =\"41459712\"]\n  5 [size=\"83867648\", alpha=\"0.16\", expect_size=\"41933824\"] \n  5 -> 6 [size =\"41933824\"]\n  6 [size=\"72609792\", alpha=\"0.03\", expect_size=\"36304896\"] \n  6 -> 7 [size =\"36304896\"]\n  7 [size=\"87341056\", alpha=\"0.08\", expect_size=\"43670528\"] \n  7 -> 8 [size =\"43670528\"]\n  8 [size=\"30789632\", alpha=\"0.15\", expect_size=\"15394816\"] \n  8 -> 9 [size =\"15394816\"]\n  9 [size=\"91168768\", alpha=\"0.09\", expect_size=\"45584384\"] \n  9 -> 10 [size =\"45584384\"]\n  10 [size=\"49715200\", alpha=\"0.13\", expect_size=\"24857600\"] \n  10 -> 11 [size =\"24857600\"]\n  11 [size=\"34758656\", alpha=\"0.02\", expect_size=\"17379328\"] \n  11 -> 12 [size =\"17379328\"]\n  12 [size=\"94089216\", alpha=\"0.06\", expect_size=\"47044608\"] \n  12 -> 13 [size =\"47044608\"]\n  13 [size=\"81530880\", alpha=\"0.14\", expect_size=\"40765440\"] \n  13 -> 14 [size =\"40765440\"]\n  14 [size=\"85870592\", alpha=\"0.15\", expect_size=\"42935296\"] \n  14 -> 15 [size =\"42935296\"]\n  15 [size=\"87459840\", alpha=\"0.00\", expect_size=\"43729920\"] \n  15 -> 16 [size =\"43729920\"]\n  16 [size=\"68622336\", alpha=\"0.02\", expect_size=\"34311168\"] \n  16 -> 17 [size =\"34311168\"]\n  17 [size=\"83482624\", alpha=\"0.16\", expect_size=\"41741312\"] \n  17 -> 18 [size =\"41741312\"]\n  18 [size=\"27496448\", alpha=\"0.05\", expect_size=\"13748224\"] \n  18 -> 19 [size =\"13748224\"]\n  19 [size=\"97957888\", alpha=\"0.04\", expect_size=\"48978944\"] \n  19 -> 20 [size =\"48978944\"]\n  20 [size=\"47699968\", alpha=\"0.01\", expect_size=\"23849984\"] \n  20 -> 21 [size =\"23849984\"]\n  21 [size=\"15022080\", alpha=\"0.06\", expect_size=\"7511040\"] \n  21 -> 22 [size =\"7511040\"]\n  22 [size=\"26529792\", alpha=\"0.05\", expect_size=\"13264896\"] \n  22 -> 23 [size =\"13264896\"]\n  23 [size=\"54149120\", alpha=\"0.13\", expect_size=\"27074560\"] \n  23 -> 24 [size =\"27074560\"]\n  24 [size=\"24035328\", alpha=\"0.17\", expect_size=\"12017664\"] \n  24 -> 25 [size =\"12017664\"]\n  25 [size=\"96901120\", alpha=\"0.16\", expect_size=\"48450560\"] \n  25 -> 26 [size =\"48450560\"]\n  26 [size=\"98609152\", alpha=\"0.08\", expect_size=\"49304576\"] \n  26 -> 27 [size =\"49304576\"]\n  27 [size=\"11458560\", alpha=\"0.17\", expect_size=\"5729280\"] \n  27 -> 28 [size =\"5729280\"]\n  28 [size=\"87764992\", alpha=\"0.10\", expect_size=\"43882496\"] \n  28 -> 29 [size =\"43882496\"]\n  29 [size=\"16136192\", alpha=\"0.20\", expect_size=\"8068096\"] \n  29 -> 30 [size =\"8068096\"]\n  30 [size=\"37218304\", alpha=\"0.18\", expect_size=\"18609152\"] \n  30 -> 31 [size =\"18609152\"]\n  31 [size=\"42244096\", alpha=\"0.02\", expect_size=\"21122048\"] \n  31 -> 32 [size =\"21122048\"]\n  32 [size=\"71571456\", alpha=\"0.03\", expect_size=\"35785728\"] \n  32 -> 33 [size =\"35785728\"]\n  33 [size=\"93028352\", alpha=\"0.19\", expect_size=\"46514176\"] \n  33 -> 34 [size =\"46514176\"]\n  34 [size=\"59287552\", alpha=\"0.11\", expect_size=\"29643776\"] \n  34 -> 35 [size =\"29643776\"]\n  35 [size=\"42784768\", alpha=\"0.00\", expect_size=\"21392384\"] \n  35 -> 36 [size =\"21392384\"]\n  36 [size=\"22530048\", alpha=\"0.01\", expect_size=\"11265024\"] \n  36 -> 37 [size =\"11265024\"]\n  37 [size=\"60647424\", alpha=\"0.17\", expect_size=\"30323712\"] \n  37 -> 38 [size =\"30323712\"]\n  38 [size=\"45250560\", alpha=\"0.17\", expect_size=\"22625280\"] \n  38 -> 39 [size =\"22625280\"]\n  39 [size=\"91015168\", alpha=\"0.16\", expect_size=\"45507584\"] \n  39 -> 40 [size =\"45507584\"]\n  40 [size=\"89882624\", alpha=\"0.02\", expect_size=\"44941312\"] \n  40 -> 41 [size =\"44941312\"]\n  41 [size=\"81080320\", alpha=\"0.10\", expect_size=\"40540160\"] \n  41 -> 42 [size =\"40540160\"]\n  42 [size=\"88883200\", alpha=\"0.00\", expect_size=\"44441600\"] \n  42 -> 43 [size =\"44441600\"]\n  43 [size=\"102522880\", alpha=\"0.00\", expect_size=\"51261440\"] \n  43 -> 44 [size =\"51261440\"]\n  44 [size=\"98674688\", alpha=\"0.03\", expect_size=\"49337344\"] \n  44 -> 45 [size =\"49337344\"]\n  45 [size=\"58351616\", alpha=\"0.04\", expect_size=\"29175808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14739456\", alpha=\"0.06\", expect_size=\"7369728\"] \n  1 -> 4 [size =\"7369728\"]\n  1 -> 6 [size =\"7369728\"]\n  2 [size=\"16603136\", alpha=\"0.03\", expect_size=\"8301568\"] \n  2 -> 4 [size =\"8301568\"]\n  2 -> 6 [size =\"8301568\"]\n  3 [size=\"95991808\", alpha=\"0.10\", expect_size=\"47995904\"] \n  3 -> 5 [size =\"47995904\"]\n  4 [size=\"99287040\", alpha=\"0.00\", expect_size=\"49643520\"] \n  4 -> 8 [size =\"49643520\"]\n  5 [size=\"79028224\", alpha=\"0.10\", expect_size=\"39514112\"] \n  5 -> 7 [size =\"39514112\"]\n  6 [size=\"34351104\", alpha=\"0.19\", expect_size=\"17175552\"] \n  6 -> 7 [size =\"17175552\"]\n  7 [size=\"16021504\", alpha=\"0.18\", expect_size=\"8010752\"] \n  8 [size=\"67190784\", alpha=\"0.10\", expect_size=\"33595392\"] \n  8 -> 9 [size =\"33595392\"]\n  8 -> 10 [size =\"33595392\"]\n  8 -> 11 [size =\"33595392\"]\n  9 [size=\"91590656\", alpha=\"0.11\", expect_size=\"45795328\"] \n  10 [size=\"15151104\", alpha=\"0.06\", expect_size=\"7575552\"] \n  10 -> 12 [size =\"7575552\"]\n  11 [size=\"69488640\", alpha=\"0.05\", expect_size=\"34744320\"] \n  11 -> 12 [size =\"34744320\"]\n  12 [size=\"98781184\", alpha=\"0.15\", expect_size=\"49390592\"] \n  12 -> 13 [size =\"49390592\"]\n  12 -> 14 [size =\"49390592\"]\n  13 [size=\"17977344\", alpha=\"0.13\", expect_size=\"8988672\"] \n  13 -> 16 [size =\"8988672\"]\n  14 [size=\"67407872\", alpha=\"0.03\", expect_size=\"33703936\"] \n  14 -> 15 [size =\"33703936\"]\n  14 -> 17 [size =\"33703936\"]\n  15 [size=\"69132288\", alpha=\"0.04\", expect_size=\"34566144\"] \n  15 -> 19 [size =\"34566144\"]\n  16 [size=\"20017152\", alpha=\"0.08\", expect_size=\"10008576\"] \n  16 -> 19 [size =\"10008576\"]\n  17 [size=\"14503936\", alpha=\"0.18\", expect_size=\"7251968\"] \n  17 -> 18 [size =\"7251968\"]\n  18 [size=\"98922496\", alpha=\"0.17\", expect_size=\"49461248\"] \n  18 -> 21 [size =\"49461248\"]\n  19 [size=\"52350976\", alpha=\"0.03\", expect_size=\"26175488\"] \n  19 -> 20 [size =\"26175488\"]\n  19 -> 22 [size =\"26175488\"]\n  19 -> 23 [size =\"26175488\"]\n  20 [size=\"10708992\", alpha=\"0.12\", expect_size=\"5354496\"] \n  20 -> 24 [size =\"5354496\"]\n  20 -> 25 [size =\"5354496\"]\n  21 [size=\"39499776\", alpha=\"0.01\", expect_size=\"19749888\"] \n  22 [size=\"65245184\", alpha=\"0.12\", expect_size=\"32622592\"] \n  22 -> 26 [size =\"32622592\"]\n  23 [size=\"42991616\", alpha=\"0.01\", expect_size=\"21495808\"] \n  23 -> 25 [size =\"21495808\"]\n  24 [size=\"11823104\", alpha=\"0.09\", expect_size=\"5911552\"] \n  24 -> 27 [size =\"5911552\"]\n  25 [size=\"25894912\", alpha=\"0.12\", expect_size=\"12947456\"] \n  25 -> 28 [size =\"12947456\"]\n  26 [size=\"47038464\", alpha=\"0.19\", expect_size=\"23519232\"] \n  26 -> 27 [size =\"23519232\"]\n  26 -> 28 [size =\"23519232\"]\n  27 [size=\"85215232\", alpha=\"0.08\", expect_size=\"42607616\"] \n  27 -> 30 [size =\"42607616\"]\n  27 -> 31 [size =\"42607616\"]\n  28 [size=\"76308480\", alpha=\"0.09\", expect_size=\"38154240\"] \n  28 -> 29 [size =\"38154240\"]\n  29 [size=\"60872704\", alpha=\"0.07\", expect_size=\"30436352\"] \n  30 [size=\"74043392\", alpha=\"0.05\", expect_size=\"37021696\"] \n  30 -> 33 [size =\"37021696\"]\n  31 [size=\"34295808\", alpha=\"0.17\", expect_size=\"17147904\"] \n  31 -> 32 [size =\"17147904\"]\n  32 [size=\"40259584\", alpha=\"0.07\", expect_size=\"20129792\"] \n  32 -> 35 [size =\"20129792\"]\n  33 [size=\"98052096\", alpha=\"0.19\", expect_size=\"49026048\"] \n  33 -> 34 [size =\"49026048\"]\n  34 [size=\"104433664\", alpha=\"0.02\", expect_size=\"52216832\"] \n  35 [size=\"53837824\", alpha=\"0.18\", expect_size=\"26918912\"] \n  35 -> 36 [size =\"26918912\"]\n  36 [size=\"14807040\", alpha=\"0.17\", expect_size=\"7403520\"] \n  36 -> 37 [size =\"7403520\"]\n  36 -> 38 [size =\"7403520\"]\n  37 [size=\"11208704\", alpha=\"0.16\", expect_size=\"5604352\"] \n  38 [size=\"48578560\", alpha=\"0.13\", expect_size=\"24289280\"] \n  38 -> 39 [size =\"24289280\"]\n  39 [size=\"89249792\", alpha=\"0.00\", expect_size=\"44624896\"] \n  39 -> 40 [size =\"44624896\"]\n  39 -> 41 [size =\"44624896\"]\n  39 -> 42 [size =\"44624896\"]\n  40 [size=\"25585664\", alpha=\"0.07\", expect_size=\"12792832\"] \n  40 -> 45 [size =\"12792832\"]\n  41 [size=\"50995200\", alpha=\"0.20\", expect_size=\"25497600\"] \n  41 -> 43 [size =\"25497600\"]\n  41 -> 44 [size =\"25497600\"]\n  41 -> 45 [size =\"25497600\"]\n  42 [size=\"35741696\", alpha=\"0.04\", expect_size=\"17870848\"] \n  42 -> 43 [size =\"17870848\"]\n  43 [size=\"68114432\", alpha=\"0.16\", expect_size=\"34057216\"] \n  44 [size=\"61239296\", alpha=\"0.07\", expect_size=\"30619648\"] \n  45 [size=\"72036352\", alpha=\"0.02\", expect_size=\"36018176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30267392\", alpha=\"0.19\", expect_size=\"15133696\"] \n  1 -> 5 [size =\"15133696\"]\n  1 -> 6 [size =\"15133696\"]\n  2 [size=\"63236096\", alpha=\"0.11\", expect_size=\"31618048\"] \n  2 -> 8 [size =\"31618048\"]\n  2 -> 9 [size =\"31618048\"]\n  3 [size=\"20561920\", alpha=\"0.15\", expect_size=\"10280960\"] \n  3 -> 5 [size =\"10280960\"]\n  3 -> 7 [size =\"10280960\"]\n  3 -> 8 [size =\"10280960\"]\n  4 [size=\"53850112\", alpha=\"0.02\", expect_size=\"26925056\"] \n  4 -> 6 [size =\"26925056\"]\n  4 -> 7 [size =\"26925056\"]\n  5 [size=\"49733632\", alpha=\"0.15\", expect_size=\"24866816\"] \n  6 [size=\"19898368\", alpha=\"0.06\", expect_size=\"9949184\"] \n  6 -> 13 [size =\"9949184\"]\n  6 -> 15 [size =\"9949184\"]\n  7 [size=\"49301504\", alpha=\"0.12\", expect_size=\"24650752\"] \n  7 -> 11 [size =\"24650752\"]\n  7 -> 14 [size =\"24650752\"]\n  7 -> 15 [size =\"24650752\"]\n  8 [size=\"80939008\", alpha=\"0.01\", expect_size=\"40469504\"] \n  8 -> 10 [size =\"40469504\"]\n  8 -> 11 [size =\"40469504\"]\n  8 -> 14 [size =\"40469504\"]\n  8 -> 15 [size =\"40469504\"]\n  9 [size=\"40003584\", alpha=\"0.00\", expect_size=\"20001792\"] \n  9 -> 10 [size =\"20001792\"]\n  9 -> 11 [size =\"20001792\"]\n  9 -> 12 [size =\"20001792\"]\n  10 [size=\"78063616\", alpha=\"0.18\", expect_size=\"39031808\"] \n  10 -> 16 [size =\"39031808\"]\n  10 -> 18 [size =\"39031808\"]\n  10 -> 19 [size =\"39031808\"]\n  11 [size=\"36882432\", alpha=\"0.07\", expect_size=\"18441216\"] \n  11 -> 21 [size =\"18441216\"]\n  12 [size=\"30787584\", alpha=\"0.07\", expect_size=\"15393792\"] \n  12 -> 16 [size =\"15393792\"]\n  12 -> 18 [size =\"15393792\"]\n  13 [size=\"81287168\", alpha=\"0.07\", expect_size=\"40643584\"] \n  13 -> 18 [size =\"40643584\"]\n  13 -> 20 [size =\"40643584\"]\n  14 [size=\"60004352\", alpha=\"0.14\", expect_size=\"30002176\"] \n  14 -> 17 [size =\"30002176\"]\n  14 -> 18 [size =\"30002176\"]\n  14 -> 19 [size =\"30002176\"]\n  14 -> 20 [size =\"30002176\"]\n  15 [size=\"70576128\", alpha=\"0.13\", expect_size=\"35288064\"] \n  15 -> 19 [size =\"35288064\"]\n  16 [size=\"45383680\", alpha=\"0.00\", expect_size=\"22691840\"] \n  16 -> 28 [size =\"22691840\"]\n  17 [size=\"75991040\", alpha=\"0.03\", expect_size=\"37995520\"] \n  17 -> 23 [size =\"37995520\"]\n  17 -> 25 [size =\"37995520\"]\n  17 -> 26 [size =\"37995520\"]\n  17 -> 27 [size =\"37995520\"]\n  18 [size=\"38809600\", alpha=\"0.05\", expect_size=\"19404800\"] \n  18 -> 23 [size =\"19404800\"]\n  18 -> 25 [size =\"19404800\"]\n  18 -> 27 [size =\"19404800\"]\n  18 -> 28 [size =\"19404800\"]\n  19 [size=\"41381888\", alpha=\"0.01\", expect_size=\"20690944\"] \n  19 -> 22 [size =\"20690944\"]\n  19 -> 23 [size =\"20690944\"]\n  19 -> 25 [size =\"20690944\"]\n  19 -> 26 [size =\"20690944\"]\n  19 -> 27 [size =\"20690944\"]\n  19 -> 28 [size =\"20690944\"]\n  20 [size=\"41408512\", alpha=\"0.17\", expect_size=\"20704256\"] \n  20 -> 22 [size =\"20704256\"]\n  20 -> 23 [size =\"20704256\"]\n  20 -> 26 [size =\"20704256\"]\n  21 [size=\"32919552\", alpha=\"0.18\", expect_size=\"16459776\"] \n  21 -> 22 [size =\"16459776\"]\n  21 -> 24 [size =\"16459776\"]\n  22 [size=\"66666496\", alpha=\"0.09\", expect_size=\"33333248\"] \n  22 -> 29 [size =\"33333248\"]\n  22 -> 30 [size =\"33333248\"]\n  23 [size=\"97990656\", alpha=\"0.03\", expect_size=\"48995328\"] \n  23 -> 29 [size =\"48995328\"]\n  23 -> 33 [size =\"48995328\"]\n  24 [size=\"34699264\", alpha=\"0.06\", expect_size=\"17349632\"] \n  25 [size=\"100345856\", alpha=\"0.17\", expect_size=\"50172928\"] \n  25 -> 31 [size =\"50172928\"]\n  26 [size=\"68538368\", alpha=\"0.11\", expect_size=\"34269184\"] \n  26 -> 29 [size =\"34269184\"]\n  26 -> 30 [size =\"34269184\"]\n  26 -> 31 [size =\"34269184\"]\n  27 [size=\"70770688\", alpha=\"0.12\", expect_size=\"35385344\"] \n  27 -> 30 [size =\"35385344\"]\n  27 -> 30 [size =\"35385344\"]\n  27 -> 31 [size =\"35385344\"]\n  27 -> 32 [size =\"35385344\"]\n  28 [size=\"84432896\", alpha=\"0.09\", expect_size=\"42216448\"] \n  28 -> 29 [size =\"42216448\"]\n  28 -> 31 [size =\"42216448\"]\n  28 -> 32 [size =\"42216448\"]\n  29 [size=\"15237120\", alpha=\"0.11\", expect_size=\"7618560\"] \n  30 [size=\"20340736\", alpha=\"0.08\", expect_size=\"10170368\"] \n  30 -> 35 [size =\"10170368\"]\n  31 [size=\"102213632\", alpha=\"0.11\", expect_size=\"51106816\"] \n  31 -> 36 [size =\"51106816\"]\n  32 [size=\"91891712\", alpha=\"0.18\", expect_size=\"45945856\"] \n  32 -> 36 [size =\"45945856\"]\n  33 [size=\"42127360\", alpha=\"0.20\", expect_size=\"21063680\"] \n  33 -> 34 [size =\"21063680\"]\n  33 -> 36 [size =\"21063680\"]\n  33 -> 37 [size =\"21063680\"]\n  34 [size=\"57368576\", alpha=\"0.12\", expect_size=\"28684288\"] \n  34 -> 39 [size =\"28684288\"]\n  34 -> 40 [size =\"28684288\"]\n  34 -> 42 [size =\"28684288\"]\n  34 -> 43 [size =\"28684288\"]\n  34 -> 44 [size =\"28684288\"]\n  35 [size=\"86607872\", alpha=\"0.17\", expect_size=\"43303936\"] \n  35 -> 38 [size =\"43303936\"]\n  35 -> 40 [size =\"43303936\"]\n  35 -> 43 [size =\"43303936\"]\n  36 [size=\"74723328\", alpha=\"0.10\", expect_size=\"37361664\"] \n  36 -> 39 [size =\"37361664\"]\n  36 -> 44 [size =\"37361664\"]\n  37 [size=\"31127552\", alpha=\"0.16\", expect_size=\"15563776\"] \n  37 -> 39 [size =\"15563776\"]\n  37 -> 40 [size =\"15563776\"]\n  37 -> 41 [size =\"15563776\"]\n  38 [size=\"89010176\", alpha=\"0.09\", expect_size=\"44505088\"] \n  39 [size=\"35708928\", alpha=\"0.08\", expect_size=\"17854464\"] \n  40 [size=\"89487360\", alpha=\"0.13\", expect_size=\"44743680\"] \n  40 -> 45 [size =\"44743680\"]\n  41 [size=\"34805760\", alpha=\"0.04\", expect_size=\"17402880\"] \n  42 [size=\"86806528\", alpha=\"0.06\", expect_size=\"43403264\"] \n  43 [size=\"77051904\", alpha=\"0.07\", expect_size=\"38525952\"] \n  44 [size=\"76339200\", alpha=\"0.12\", expect_size=\"38169600\"] \n  45 [size=\"39819264\", alpha=\"0.17\", expect_size=\"19909632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73859072\", alpha=\"0.17\", expect_size=\"36929536\"] \n  1 -> 33 [size =\"36929536\"]\n  1 -> 35 [size =\"36929536\"]\n  1 -> 39 [size =\"36929536\"]\n  2 [size=\"43046912\", alpha=\"0.00\", expect_size=\"21523456\"] \n  2 -> 32 [size =\"21523456\"]\n  2 -> 36 [size =\"21523456\"]\n  2 -> 41 [size =\"21523456\"]\n  3 [size=\"74170368\", alpha=\"0.19\", expect_size=\"37085184\"] \n  3 -> 32 [size =\"37085184\"]\n  3 -> 33 [size =\"37085184\"]\n  3 -> 37 [size =\"37085184\"]\n  3 -> 40 [size =\"37085184\"]\n  3 -> 42 [size =\"37085184\"]\n  4 [size=\"34994176\", alpha=\"0.02\", expect_size=\"17497088\"] \n  4 -> 36 [size =\"17497088\"]\n  4 -> 40 [size =\"17497088\"]\n  4 -> 42 [size =\"17497088\"]\n  5 [size=\"59478016\", alpha=\"0.17\", expect_size=\"29739008\"] \n  5 -> 35 [size =\"29739008\"]\n  5 -> 40 [size =\"29739008\"]\n  5 -> 42 [size =\"29739008\"]\n  5 -> 44 [size =\"29739008\"]\n  5 -> 45 [size =\"29739008\"]\n  6 [size=\"39211008\", alpha=\"0.04\", expect_size=\"19605504\"] \n  6 -> 33 [size =\"19605504\"]\n  6 -> 35 [size =\"19605504\"]\n  6 -> 36 [size =\"19605504\"]\n  6 -> 39 [size =\"19605504\"]\n  6 -> 41 [size =\"19605504\"]\n  6 -> 42 [size =\"19605504\"]\n  6 -> 44 [size =\"19605504\"]\n  6 -> 45 [size =\"19605504\"]\n  7 [size=\"34910208\", alpha=\"0.08\", expect_size=\"17455104\"] \n  7 -> 32 [size =\"17455104\"]\n  7 -> 33 [size =\"17455104\"]\n  7 -> 42 [size =\"17455104\"]\n  7 -> 44 [size =\"17455104\"]\n  7 -> 45 [size =\"17455104\"]\n  8 [size=\"55625728\", alpha=\"0.07\", expect_size=\"27812864\"] \n  8 -> 32 [size =\"27812864\"]\n  8 -> 42 [size =\"27812864\"]\n  8 -> 42 [size =\"27812864\"]\n  9 [size=\"33900544\", alpha=\"0.06\", expect_size=\"16950272\"] \n  9 -> 32 [size =\"16950272\"]\n  9 -> 34 [size =\"16950272\"]\n  9 -> 44 [size =\"16950272\"]\n  10 [size=\"33093632\", alpha=\"0.01\", expect_size=\"16546816\"] \n  10 -> 32 [size =\"16546816\"]\n  10 -> 33 [size =\"16546816\"]\n  10 -> 36 [size =\"16546816\"]\n  10 -> 37 [size =\"16546816\"]\n  10 -> 38 [size =\"16546816\"]\n  10 -> 41 [size =\"16546816\"]\n  10 -> 44 [size =\"16546816\"]\n  11 [size=\"103819264\", alpha=\"0.17\", expect_size=\"51909632\"] \n  11 -> 32 [size =\"51909632\"]\n  11 -> 33 [size =\"51909632\"]\n  11 -> 39 [size =\"51909632\"]\n  11 -> 40 [size =\"51909632\"]\n  11 -> 44 [size =\"51909632\"]\n  12 [size=\"89065472\", alpha=\"0.02\", expect_size=\"44532736\"] \n  12 -> 32 [size =\"44532736\"]\n  12 -> 33 [size =\"44532736\"]\n  12 -> 37 [size =\"44532736\"]\n  12 -> 39 [size =\"44532736\"]\n  12 -> 41 [size =\"44532736\"]\n  12 -> 44 [size =\"44532736\"]\n  13 [size=\"89348096\", alpha=\"0.09\", expect_size=\"44674048\"] \n  13 -> 32 [size =\"44674048\"]\n  13 -> 33 [size =\"44674048\"]\n  13 -> 37 [size =\"44674048\"]\n  14 [size=\"86554624\", alpha=\"0.17\", expect_size=\"43277312\"] \n  14 -> 32 [size =\"43277312\"]\n  14 -> 33 [size =\"43277312\"]\n  14 -> 35 [size =\"43277312\"]\n  14 -> 37 [size =\"43277312\"]\n  14 -> 39 [size =\"43277312\"]\n  14 -> 40 [size =\"43277312\"]\n  15 [size=\"94355456\", alpha=\"0.17\", expect_size=\"47177728\"] \n  15 -> 32 [size =\"47177728\"]\n  15 -> 33 [size =\"47177728\"]\n  15 -> 37 [size =\"47177728\"]\n  15 -> 37 [size =\"47177728\"]\n  15 -> 39 [size =\"47177728\"]\n  15 -> 40 [size =\"47177728\"]\n  15 -> 42 [size =\"47177728\"]\n  16 [size=\"81747968\", alpha=\"0.14\", expect_size=\"40873984\"] \n  16 -> 32 [size =\"40873984\"]\n  16 -> 39 [size =\"40873984\"]\n  16 -> 41 [size =\"40873984\"]\n  16 -> 42 [size =\"40873984\"]\n  16 -> 44 [size =\"40873984\"]\n  17 [size=\"100325376\", alpha=\"0.05\", expect_size=\"50162688\"] \n  17 -> 42 [size =\"50162688\"]\n  17 -> 44 [size =\"50162688\"]\n  17 -> 45 [size =\"50162688\"]\n  18 [size=\"41922560\", alpha=\"0.16\", expect_size=\"20961280\"] \n  18 -> 32 [size =\"20961280\"]\n  18 -> 33 [size =\"20961280\"]\n  18 -> 40 [size =\"20961280\"]\n  18 -> 42 [size =\"20961280\"]\n  19 [size=\"72966144\", alpha=\"0.02\", expect_size=\"36483072\"] \n  19 -> 32 [size =\"36483072\"]\n  19 -> 37 [size =\"36483072\"]\n  19 -> 42 [size =\"36483072\"]\n  19 -> 42 [size =\"36483072\"]\n  19 -> 43 [size =\"36483072\"]\n  19 -> 45 [size =\"36483072\"]\n  20 [size=\"102912000\", alpha=\"0.12\", expect_size=\"51456000\"] \n  20 -> 36 [size =\"51456000\"]\n  20 -> 37 [size =\"51456000\"]\n  20 -> 39 [size =\"51456000\"]\n  20 -> 42 [size =\"51456000\"]\n  20 -> 43 [size =\"51456000\"]\n  20 -> 45 [size =\"51456000\"]\n  21 [size=\"11997184\", alpha=\"0.15\", expect_size=\"5998592\"] \n  21 -> 33 [size =\"5998592\"]\n  21 -> 36 [size =\"5998592\"]\n  21 -> 37 [size =\"5998592\"]\n  21 -> 39 [size =\"5998592\"]\n  21 -> 40 [size =\"5998592\"]\n  21 -> 41 [size =\"5998592\"]\n  21 -> 43 [size =\"5998592\"]\n  21 -> 45 [size =\"5998592\"]\n  22 [size=\"91641856\", alpha=\"0.05\", expect_size=\"45820928\"] \n  22 -> 33 [size =\"45820928\"]\n  22 -> 36 [size =\"45820928\"]\n  22 -> 39 [size =\"45820928\"]\n  22 -> 45 [size =\"45820928\"]\n  23 [size=\"100515840\", alpha=\"0.08\", expect_size=\"50257920\"] \n  23 -> 32 [size =\"50257920\"]\n  23 -> 33 [size =\"50257920\"]\n  23 -> 34 [size =\"50257920\"]\n  23 -> 36 [size =\"50257920\"]\n  23 -> 42 [size =\"50257920\"]\n  23 -> 45 [size =\"50257920\"]\n  24 [size=\"50968576\", alpha=\"0.17\", expect_size=\"25484288\"] \n  24 -> 39 [size =\"25484288\"]\n  25 [size=\"35739648\", alpha=\"0.16\", expect_size=\"17869824\"] \n  25 -> 33 [size =\"17869824\"]\n  25 -> 36 [size =\"17869824\"]\n  25 -> 37 [size =\"17869824\"]\n  25 -> 39 [size =\"17869824\"]\n  25 -> 44 [size =\"17869824\"]\n  25 -> 45 [size =\"17869824\"]\n  26 [size=\"23171072\", alpha=\"0.01\", expect_size=\"11585536\"] \n  26 -> 32 [size =\"11585536\"]\n  26 -> 33 [size =\"11585536\"]\n  26 -> 39 [size =\"11585536\"]\n  26 -> 42 [size =\"11585536\"]\n  26 -> 44 [size =\"11585536\"]\n  26 -> 45 [size =\"11585536\"]\n  27 [size=\"90650624\", alpha=\"0.11\", expect_size=\"45325312\"] \n  27 -> 32 [size =\"45325312\"]\n  27 -> 33 [size =\"45325312\"]\n  27 -> 36 [size =\"45325312\"]\n  27 -> 37 [size =\"45325312\"]\n  27 -> 39 [size =\"45325312\"]\n  27 -> 45 [size =\"45325312\"]\n  28 [size=\"19091456\", alpha=\"0.11\", expect_size=\"9545728\"] \n  28 -> 33 [size =\"9545728\"]\n  28 -> 36 [size =\"9545728\"]\n  28 -> 39 [size =\"9545728\"]\n  28 -> 42 [size =\"9545728\"]\n  28 -> 43 [size =\"9545728\"]\n  28 -> 44 [size =\"9545728\"]\n  28 -> 45 [size =\"9545728\"]\n  29 [size=\"94877696\", alpha=\"0.16\", expect_size=\"47438848\"] \n  29 -> 32 [size =\"47438848\"]\n  29 -> 37 [size =\"47438848\"]\n  29 -> 39 [size =\"47438848\"]\n  29 -> 41 [size =\"47438848\"]\n  29 -> 45 [size =\"47438848\"]\n  30 [size=\"10680320\", alpha=\"0.06\", expect_size=\"5340160\"] \n  30 -> 33 [size =\"5340160\"]\n  30 -> 36 [size =\"5340160\"]\n  30 -> 37 [size =\"5340160\"]\n  30 -> 39 [size =\"5340160\"]\n  30 -> 40 [size =\"5340160\"]\n  30 -> 41 [size =\"5340160\"]\n  30 -> 42 [size =\"5340160\"]\n  30 -> 43 [size =\"5340160\"]\n  30 -> 45 [size =\"5340160\"]\n  31 [size=\"66250752\", alpha=\"0.15\", expect_size=\"33125376\"] \n  31 -> 35 [size =\"33125376\"]\n  31 -> 37 [size =\"33125376\"]\n  31 -> 37 [size =\"33125376\"]\n  31 -> 39 [size =\"33125376\"]\n  31 -> 40 [size =\"33125376\"]\n  31 -> 44 [size =\"33125376\"]\n  32 [size=\"41846784\", alpha=\"0.01\", expect_size=\"20923392\"] \n  33 [size=\"64401408\", alpha=\"0.04\", expect_size=\"32200704\"] \n  34 [size=\"103231488\", alpha=\"0.03\", expect_size=\"51615744\"] \n  35 [size=\"88471552\", alpha=\"0.19\", expect_size=\"44235776\"] \n  36 [size=\"69115904\", alpha=\"0.11\", expect_size=\"34557952\"] \n  37 [size=\"73889792\", alpha=\"0.02\", expect_size=\"36944896\"] \n  38 [size=\"32847872\", alpha=\"0.19\", expect_size=\"16423936\"] \n  39 [size=\"85501952\", alpha=\"0.10\", expect_size=\"42750976\"] \n  40 [size=\"66527232\", alpha=\"0.00\", expect_size=\"33263616\"] \n  41 [size=\"92901376\", alpha=\"0.11\", expect_size=\"46450688\"] \n  42 [size=\"69216256\", alpha=\"0.19\", expect_size=\"34608128\"] \n  43 [size=\"74055680\", alpha=\"0.06\", expect_size=\"37027840\"] \n  44 [size=\"91910144\", alpha=\"0.01\", expect_size=\"45955072\"] \n  45 [size=\"104478720\", alpha=\"0.02\", expect_size=\"52239360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50322773\", alpha=\"0.09\", expect_size=\"15096832\"] \n  1 -> 15 [size =\"15096832\"]\n  1 -> 18 [size =\"15096832\"]\n  1 -> 19 [size =\"15096832\"]\n  1 -> 21 [size =\"15096832\"]\n  1 -> 22 [size =\"15096832\"]\n  1 -> 23 [size =\"15096832\"]\n  1 -> 24 [size =\"15096832\"]\n  2 [size=\"110216533\", alpha=\"0.01\", expect_size=\"33064960\"] \n  2 -> 15 [size =\"33064960\"]\n  2 -> 16 [size =\"33064960\"]\n  2 -> 17 [size =\"33064960\"]\n  2 -> 20 [size =\"33064960\"]\n  2 -> 23 [size =\"33064960\"]\n  3 [size=\"172455253\", alpha=\"0.03\", expect_size=\"51736576\"] \n  3 -> 15 [size =\"51736576\"]\n  3 -> 17 [size =\"51736576\"]\n  3 -> 19 [size =\"51736576\"]\n  3 -> 20 [size =\"51736576\"]\n  3 -> 21 [size =\"51736576\"]\n  3 -> 22 [size =\"51736576\"]\n  3 -> 25 [size =\"51736576\"]\n  3 -> 27 [size =\"51736576\"]\n  4 [size=\"46032213\", alpha=\"0.09\", expect_size=\"13809664\"] \n  4 -> 14 [size =\"13809664\"]\n  4 -> 15 [size =\"13809664\"]\n  4 -> 19 [size =\"13809664\"]\n  4 -> 20 [size =\"13809664\"]\n  4 -> 21 [size =\"13809664\"]\n  4 -> 24 [size =\"13809664\"]\n  5 [size=\"52749653\", alpha=\"0.15\", expect_size=\"15824896\"] \n  5 -> 17 [size =\"15824896\"]\n  5 -> 19 [size =\"15824896\"]\n  5 -> 19 [size =\"15824896\"]\n  5 -> 20 [size =\"15824896\"]\n  5 -> 21 [size =\"15824896\"]\n  6 [size=\"98389333\", alpha=\"0.13\", expect_size=\"29516800\"] \n  6 -> 15 [size =\"29516800\"]\n  6 -> 17 [size =\"29516800\"]\n  6 -> 19 [size =\"29516800\"]\n  6 -> 20 [size =\"29516800\"]\n  6 -> 21 [size =\"29516800\"]\n  6 -> 22 [size =\"29516800\"]\n  6 -> 23 [size =\"29516800\"]\n  6 -> 24 [size =\"29516800\"]\n  6 -> 25 [size =\"29516800\"]\n  6 -> 27 [size =\"29516800\"]\n  7 [size=\"61494613\", alpha=\"0.10\", expect_size=\"18448384\"] \n  7 -> 15 [size =\"18448384\"]\n  7 -> 17 [size =\"18448384\"]\n  7 -> 19 [size =\"18448384\"]\n  7 -> 20 [size =\"18448384\"]\n  7 -> 21 [size =\"18448384\"]\n  7 -> 22 [size =\"18448384\"]\n  7 -> 23 [size =\"18448384\"]\n  7 -> 27 [size =\"18448384\"]\n  8 [size=\"61484373\", alpha=\"0.04\", expect_size=\"18445312\"] \n  8 -> 15 [size =\"18445312\"]\n  8 -> 17 [size =\"18445312\"]\n  8 -> 20 [size =\"18445312\"]\n  8 -> 21 [size =\"18445312\"]\n  8 -> 23 [size =\"18445312\"]\n  8 -> 24 [size =\"18445312\"]\n  8 -> 25 [size =\"18445312\"]\n  9 [size=\"173769387\", alpha=\"0.04\", expect_size=\"52130816\"] \n  9 -> 14 [size =\"52130816\"]\n  9 -> 17 [size =\"52130816\"]\n  9 -> 20 [size =\"52130816\"]\n  9 -> 22 [size =\"52130816\"]\n  9 -> 26 [size =\"52130816\"]\n  10 [size=\"84903253\", alpha=\"0.20\", expect_size=\"25470976\"] \n  10 -> 20 [size =\"25470976\"]\n  10 -> 22 [size =\"25470976\"]\n  11 [size=\"155118933\", alpha=\"0.15\", expect_size=\"46535680\"] \n  11 -> 15 [size =\"46535680\"]\n  11 -> 16 [size =\"46535680\"]\n  11 -> 17 [size =\"46535680\"]\n  11 -> 20 [size =\"46535680\"]\n  11 -> 21 [size =\"46535680\"]\n  11 -> 22 [size =\"46535680\"]\n  11 -> 23 [size =\"46535680\"]\n  11 -> 25 [size =\"46535680\"]\n  12 [size=\"71901867\", alpha=\"0.11\", expect_size=\"21570560\"] \n  12 -> 15 [size =\"21570560\"]\n  12 -> 16 [size =\"21570560\"]\n  12 -> 17 [size =\"21570560\"]\n  12 -> 19 [size =\"21570560\"]\n  12 -> 20 [size =\"21570560\"]\n  12 -> 21 [size =\"21570560\"]\n  12 -> 23 [size =\"21570560\"]\n  12 -> 24 [size =\"21570560\"]\n  12 -> 25 [size =\"21570560\"]\n  13 [size=\"79616000\", alpha=\"0.03\", expect_size=\"23884800\"] \n  13 -> 17 [size =\"23884800\"]\n  13 -> 19 [size =\"23884800\"]\n  13 -> 21 [size =\"23884800\"]\n  13 -> 22 [size =\"23884800\"]\n  13 -> 23 [size =\"23884800\"]\n  13 -> 24 [size =\"23884800\"]\n  14 [size=\"105553920\", alpha=\"0.13\", expect_size=\"31666176\"] \n  14 -> 28 [size =\"31666176\"]\n  14 -> 32 [size =\"31666176\"]\n  14 -> 34 [size =\"31666176\"]\n  14 -> 35 [size =\"31666176\"]\n  14 -> 35 [size =\"31666176\"]\n  14 -> 41 [size =\"31666176\"]\n  15 [size=\"18418347\", alpha=\"0.09\", expect_size=\"5525504\"] \n  15 -> 29 [size =\"5525504\"]\n  15 -> 38 [size =\"5525504\"]\n  16 [size=\"133727573\", alpha=\"0.07\", expect_size=\"40118272\"] \n  16 -> 28 [size =\"40118272\"]\n  16 -> 31 [size =\"40118272\"]\n  16 -> 34 [size =\"40118272\"]\n  16 -> 40 [size =\"40118272\"]\n  17 [size=\"76079787\", alpha=\"0.12\", expect_size=\"22823936\"] \n  17 -> 31 [size =\"22823936\"]\n  17 -> 31 [size =\"22823936\"]\n  17 -> 38 [size =\"22823936\"]\n  17 -> 41 [size =\"22823936\"]\n  18 [size=\"157655040\", alpha=\"0.15\", expect_size=\"47296512\"] \n  18 -> 30 [size =\"47296512\"]\n  18 -> 31 [size =\"47296512\"]\n  18 -> 32 [size =\"47296512\"]\n  18 -> 35 [size =\"47296512\"]\n  18 -> 36 [size =\"47296512\"]\n  18 -> 37 [size =\"47296512\"]\n  18 -> 39 [size =\"47296512\"]\n  19 [size=\"30795093\", alpha=\"0.02\", expect_size=\"9238528\"] \n  19 -> 29 [size =\"9238528\"]\n  19 -> 30 [size =\"9238528\"]\n  19 -> 31 [size =\"9238528\"]\n  19 -> 34 [size =\"9238528\"]\n  19 -> 36 [size =\"9238528\"]\n  19 -> 40 [size =\"9238528\"]\n  20 [size=\"63860053\", alpha=\"0.01\", expect_size=\"19158016\"] \n  20 -> 28 [size =\"19158016\"]\n  20 -> 29 [size =\"19158016\"]\n  20 -> 31 [size =\"19158016\"]\n  20 -> 34 [size =\"19158016\"]\n  20 -> 35 [size =\"19158016\"]\n  20 -> 36 [size =\"19158016\"]\n  20 -> 37 [size =\"19158016\"]\n  20 -> 41 [size =\"19158016\"]\n  21 [size=\"61689173\", alpha=\"0.03\", expect_size=\"18506752\"] \n  21 -> 30 [size =\"18506752\"]\n  21 -> 31 [size =\"18506752\"]\n  21 -> 34 [size =\"18506752\"]\n  21 -> 35 [size =\"18506752\"]\n  21 -> 36 [size =\"18506752\"]\n  21 -> 37 [size =\"18506752\"]\n  21 -> 41 [size =\"18506752\"]\n  22 [size=\"25774080\", alpha=\"0.18\", expect_size=\"7732224\"] \n  22 -> 28 [size =\"7732224\"]\n  22 -> 29 [size =\"7732224\"]\n  22 -> 35 [size =\"7732224\"]\n  22 -> 36 [size =\"7732224\"]\n  22 -> 36 [size =\"7732224\"]\n  22 -> 37 [size =\"7732224\"]\n  22 -> 41 [size =\"7732224\"]\n  23 [size=\"113203200\", alpha=\"0.12\", expect_size=\"33960960\"] \n  23 -> 28 [size =\"33960960\"]\n  23 -> 29 [size =\"33960960\"]\n  23 -> 30 [size =\"33960960\"]\n  23 -> 31 [size =\"33960960\"]\n  23 -> 32 [size =\"33960960\"]\n  23 -> 33 [size =\"33960960\"]\n  23 -> 35 [size =\"33960960\"]\n  24 [size=\"134789120\", alpha=\"0.10\", expect_size=\"40436736\"] \n  24 -> 28 [size =\"40436736\"]\n  24 -> 29 [size =\"40436736\"]\n  24 -> 30 [size =\"40436736\"]\n  24 -> 31 [size =\"40436736\"]\n  24 -> 38 [size =\"40436736\"]\n  25 [size=\"77663573\", alpha=\"0.13\", expect_size=\"23299072\"] \n  25 -> 29 [size =\"23299072\"]\n  25 -> 29 [size =\"23299072\"]\n  25 -> 31 [size =\"23299072\"]\n  25 -> 34 [size =\"23299072\"]\n  25 -> 35 [size =\"23299072\"]\n  25 -> 37 [size =\"23299072\"]\n  25 -> 38 [size =\"23299072\"]\n  25 -> 40 [size =\"23299072\"]\n  25 -> 41 [size =\"23299072\"]\n  26 [size=\"150961493\", alpha=\"0.05\", expect_size=\"45288448\"] \n  26 -> 29 [size =\"45288448\"]\n  26 -> 31 [size =\"45288448\"]\n  26 -> 34 [size =\"45288448\"]\n  26 -> 38 [size =\"45288448\"]\n  26 -> 40 [size =\"45288448\"]\n  27 [size=\"51056640\", alpha=\"0.04\", expect_size=\"15316992\"] \n  27 -> 29 [size =\"15316992\"]\n  27 -> 30 [size =\"15316992\"]\n  27 -> 31 [size =\"15316992\"]\n  27 -> 33 [size =\"15316992\"]\n  27 -> 35 [size =\"15316992\"]\n  27 -> 37 [size =\"15316992\"]\n  27 -> 41 [size =\"15316992\"]\n  28 [size=\"142168747\", alpha=\"0.07\", expect_size=\"42650624\"] \n  28 -> 42 [size =\"42650624\"]\n  28 -> 44 [size =\"42650624\"]\n  29 [size=\"101150720\", alpha=\"0.11\", expect_size=\"30345216\"] \n  29 -> 42 [size =\"30345216\"]\n  29 -> 45 [size =\"30345216\"]\n  30 [size=\"116360533\", alpha=\"0.04\", expect_size=\"34908160\"] \n  30 -> 42 [size =\"34908160\"]\n  30 -> 43 [size =\"34908160\"]\n  30 -> 44 [size =\"34908160\"]\n  30 -> 45 [size =\"34908160\"]\n  31 [size=\"120668160\", alpha=\"0.13\", expect_size=\"36200448\"] \n  31 -> 42 [size =\"36200448\"]\n  31 -> 43 [size =\"36200448\"]\n  31 -> 45 [size =\"36200448\"]\n  32 [size=\"146920107\", alpha=\"0.10\", expect_size=\"44076032\"] \n  32 -> 42 [size =\"44076032\"]\n  32 -> 45 [size =\"44076032\"]\n  33 [size=\"130573653\", alpha=\"0.15\", expect_size=\"39172096\"] \n  33 -> 43 [size =\"39172096\"]\n  34 [size=\"69317973\", alpha=\"0.11\", expect_size=\"20795392\"] \n  34 -> 43 [size =\"20795392\"]\n  35 [size=\"149002240\", alpha=\"0.07\", expect_size=\"44700672\"] \n  35 -> 45 [size =\"44700672\"]\n  36 [size=\"90330453\", alpha=\"0.17\", expect_size=\"27099136\"] \n  36 -> 42 [size =\"27099136\"]\n  36 -> 45 [size =\"27099136\"]\n  37 [size=\"131502080\", alpha=\"0.16\", expect_size=\"39450624\"] \n  37 -> 42 [size =\"39450624\"]\n  38 [size=\"159252480\", alpha=\"0.12\", expect_size=\"47775744\"] \n  39 [size=\"60306773\", alpha=\"0.09\", expect_size=\"18092032\"] \n  40 [size=\"148241067\", alpha=\"0.13\", expect_size=\"44472320\"] \n  40 -> 45 [size =\"44472320\"]\n  41 [size=\"18629973\", alpha=\"0.02\", expect_size=\"5588992\"] \n  41 -> 43 [size =\"5588992\"]\n  42 [size=\"123685547\", alpha=\"0.13\", expect_size=\"37105664\"] \n  43 [size=\"45981013\", alpha=\"0.15\", expect_size=\"13794304\"] \n  44 [size=\"162225493\", alpha=\"0.12\", expect_size=\"48667648\"] \n  45 [size=\"88640853\", alpha=\"0.18\", expect_size=\"26592256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156320427\", alpha=\"0.12\", expect_size=\"46896128\"] \n  1 -> 33 [size =\"46896128\"]\n  1 -> 37 [size =\"46896128\"]\n  1 -> 38 [size =\"46896128\"]\n  1 -> 39 [size =\"46896128\"]\n  1 -> 40 [size =\"46896128\"]\n  1 -> 42 [size =\"46896128\"]\n  1 -> 43 [size =\"46896128\"]\n  2 [size=\"53507413\", alpha=\"0.04\", expect_size=\"16052224\"] \n  2 -> 33 [size =\"16052224\"]\n  2 -> 38 [size =\"16052224\"]\n  2 -> 39 [size =\"16052224\"]\n  2 -> 39 [size =\"16052224\"]\n  2 -> 43 [size =\"16052224\"]\n  3 [size=\"80032427\", alpha=\"0.00\", expect_size=\"24009728\"] \n  3 -> 33 [size =\"24009728\"]\n  3 -> 37 [size =\"24009728\"]\n  3 -> 38 [size =\"24009728\"]\n  3 -> 40 [size =\"24009728\"]\n  3 -> 45 [size =\"24009728\"]\n  4 [size=\"81708373\", alpha=\"0.06\", expect_size=\"24512512\"] \n  4 -> 34 [size =\"24512512\"]\n  4 -> 35 [size =\"24512512\"]\n  4 -> 37 [size =\"24512512\"]\n  4 -> 38 [size =\"24512512\"]\n  4 -> 41 [size =\"24512512\"]\n  4 -> 45 [size =\"24512512\"]\n  5 [size=\"94047573\", alpha=\"0.02\", expect_size=\"28214272\"] \n  5 -> 33 [size =\"28214272\"]\n  5 -> 35 [size =\"28214272\"]\n  5 -> 36 [size =\"28214272\"]\n  5 -> 38 [size =\"28214272\"]\n  5 -> 41 [size =\"28214272\"]\n  5 -> 45 [size =\"28214272\"]\n  6 [size=\"153197227\", alpha=\"0.17\", expect_size=\"45959168\"] \n  6 -> 35 [size =\"45959168\"]\n  6 -> 35 [size =\"45959168\"]\n  6 -> 37 [size =\"45959168\"]\n  6 -> 38 [size =\"45959168\"]\n  6 -> 39 [size =\"45959168\"]\n  6 -> 43 [size =\"45959168\"]\n  7 [size=\"25320107\", alpha=\"0.04\", expect_size=\"7596032\"] \n  7 -> 38 [size =\"7596032\"]\n  7 -> 39 [size =\"7596032\"]\n  7 -> 40 [size =\"7596032\"]\n  8 [size=\"90538667\", alpha=\"0.05\", expect_size=\"27161600\"] \n  8 -> 33 [size =\"27161600\"]\n  8 -> 35 [size =\"27161600\"]\n  8 -> 38 [size =\"27161600\"]\n  8 -> 39 [size =\"27161600\"]\n  8 -> 40 [size =\"27161600\"]\n  8 -> 43 [size =\"27161600\"]\n  9 [size=\"110117547\", alpha=\"0.14\", expect_size=\"33035264\"] \n  9 -> 33 [size =\"33035264\"]\n  9 -> 37 [size =\"33035264\"]\n  9 -> 38 [size =\"33035264\"]\n  9 -> 40 [size =\"33035264\"]\n  9 -> 40 [size =\"33035264\"]\n  9 -> 43 [size =\"33035264\"]\n  10 [size=\"174254080\", alpha=\"0.07\", expect_size=\"52276224\"] \n  10 -> 33 [size =\"52276224\"]\n  10 -> 36 [size =\"52276224\"]\n  10 -> 37 [size =\"52276224\"]\n  10 -> 38 [size =\"52276224\"]\n  10 -> 39 [size =\"52276224\"]\n  10 -> 40 [size =\"52276224\"]\n  10 -> 41 [size =\"52276224\"]\n  10 -> 43 [size =\"52276224\"]\n  11 [size=\"80145067\", alpha=\"0.09\", expect_size=\"24043520\"] \n  11 -> 33 [size =\"24043520\"]\n  11 -> 34 [size =\"24043520\"]\n  11 -> 35 [size =\"24043520\"]\n  11 -> 37 [size =\"24043520\"]\n  11 -> 40 [size =\"24043520\"]\n  11 -> 42 [size =\"24043520\"]\n  11 -> 43 [size =\"24043520\"]\n  12 [size=\"171311787\", alpha=\"0.02\", expect_size=\"51393536\"] \n  12 -> 35 [size =\"51393536\"]\n  12 -> 36 [size =\"51393536\"]\n  12 -> 37 [size =\"51393536\"]\n  12 -> 40 [size =\"51393536\"]\n  12 -> 43 [size =\"51393536\"]\n  12 -> 44 [size =\"51393536\"]\n  13 [size=\"42775893\", alpha=\"0.17\", expect_size=\"12832768\"] \n  13 -> 37 [size =\"12832768\"]\n  13 -> 41 [size =\"12832768\"]\n  13 -> 43 [size =\"12832768\"]\n  14 [size=\"44008107\", alpha=\"0.16\", expect_size=\"13202432\"] \n  14 -> 35 [size =\"13202432\"]\n  14 -> 36 [size =\"13202432\"]\n  14 -> 38 [size =\"13202432\"]\n  14 -> 39 [size =\"13202432\"]\n  14 -> 40 [size =\"13202432\"]\n  14 -> 43 [size =\"13202432\"]\n  14 -> 45 [size =\"13202432\"]\n  15 [size=\"89490773\", alpha=\"0.13\", expect_size=\"26847232\"] \n  15 -> 33 [size =\"26847232\"]\n  15 -> 35 [size =\"26847232\"]\n  15 -> 38 [size =\"26847232\"]\n  15 -> 39 [size =\"26847232\"]\n  15 -> 40 [size =\"26847232\"]\n  15 -> 43 [size =\"26847232\"]\n  15 -> 45 [size =\"26847232\"]\n  16 [size=\"103970133\", alpha=\"0.06\", expect_size=\"31191040\"] \n  16 -> 37 [size =\"31191040\"]\n  16 -> 38 [size =\"31191040\"]\n  16 -> 39 [size =\"31191040\"]\n  16 -> 40 [size =\"31191040\"]\n  16 -> 43 [size =\"31191040\"]\n  17 [size=\"79322453\", alpha=\"0.11\", expect_size=\"23796736\"] \n  17 -> 34 [size =\"23796736\"]\n  17 -> 35 [size =\"23796736\"]\n  17 -> 37 [size =\"23796736\"]\n  17 -> 39 [size =\"23796736\"]\n  17 -> 41 [size =\"23796736\"]\n  18 [size=\"109410987\", alpha=\"0.10\", expect_size=\"32823296\"] \n  18 -> 39 [size =\"32823296\"]\n  18 -> 41 [size =\"32823296\"]\n  18 -> 43 [size =\"32823296\"]\n  18 -> 44 [size =\"32823296\"]\n  19 [size=\"147930453\", alpha=\"0.12\", expect_size=\"44379136\"] \n  19 -> 35 [size =\"44379136\"]\n  19 -> 39 [size =\"44379136\"]\n  19 -> 40 [size =\"44379136\"]\n  19 -> 41 [size =\"44379136\"]\n  20 [size=\"98529280\", alpha=\"0.01\", expect_size=\"29558784\"] \n  20 -> 34 [size =\"29558784\"]\n  20 -> 35 [size =\"29558784\"]\n  20 -> 37 [size =\"29558784\"]\n  20 -> 41 [size =\"29558784\"]\n  21 [size=\"151753387\", alpha=\"0.08\", expect_size=\"45526016\"] \n  21 -> 35 [size =\"45526016\"]\n  21 -> 35 [size =\"45526016\"]\n  21 -> 37 [size =\"45526016\"]\n  21 -> 39 [size =\"45526016\"]\n  21 -> 40 [size =\"45526016\"]\n  21 -> 41 [size =\"45526016\"]\n  21 -> 43 [size =\"45526016\"]\n  21 -> 45 [size =\"45526016\"]\n  22 [size=\"61440000\", alpha=\"0.19\", expect_size=\"18432000\"] \n  22 -> 34 [size =\"18432000\"]\n  22 -> 36 [size =\"18432000\"]\n  22 -> 37 [size =\"18432000\"]\n  22 -> 38 [size =\"18432000\"]\n  22 -> 39 [size =\"18432000\"]\n  23 [size=\"80257707\", alpha=\"0.18\", expect_size=\"24077312\"] \n  23 -> 35 [size =\"24077312\"]\n  23 -> 36 [size =\"24077312\"]\n  23 -> 37 [size =\"24077312\"]\n  23 -> 39 [size =\"24077312\"]\n  23 -> 39 [size =\"24077312\"]\n  23 -> 40 [size =\"24077312\"]\n  23 -> 41 [size =\"24077312\"]\n  24 [size=\"54934187\", alpha=\"0.05\", expect_size=\"16480256\"] \n  24 -> 37 [size =\"16480256\"]\n  24 -> 39 [size =\"16480256\"]\n  24 -> 41 [size =\"16480256\"]\n  24 -> 43 [size =\"16480256\"]\n  24 -> 45 [size =\"16480256\"]\n  25 [size=\"24692053\", alpha=\"0.02\", expect_size=\"7407616\"] \n  25 -> 37 [size =\"7407616\"]\n  25 -> 38 [size =\"7407616\"]\n  25 -> 39 [size =\"7407616\"]\n  25 -> 43 [size =\"7407616\"]\n  26 [size=\"130768213\", alpha=\"0.17\", expect_size=\"39230464\"] \n  26 -> 37 [size =\"39230464\"]\n  26 -> 39 [size =\"39230464\"]\n  26 -> 39 [size =\"39230464\"]\n  26 -> 40 [size =\"39230464\"]\n  26 -> 41 [size =\"39230464\"]\n  26 -> 43 [size =\"39230464\"]\n  27 [size=\"20015787\", alpha=\"0.12\", expect_size=\"6004736\"] \n  27 -> 37 [size =\"6004736\"]\n  27 -> 38 [size =\"6004736\"]\n  27 -> 39 [size =\"6004736\"]\n  27 -> 40 [size =\"6004736\"]\n  27 -> 41 [size =\"6004736\"]\n  27 -> 42 [size =\"6004736\"]\n  27 -> 43 [size =\"6004736\"]\n  28 [size=\"104983893\", alpha=\"0.17\", expect_size=\"31495168\"] \n  28 -> 37 [size =\"31495168\"]\n  28 -> 39 [size =\"31495168\"]\n  28 -> 39 [size =\"31495168\"]\n  28 -> 43 [size =\"31495168\"]\n  28 -> 45 [size =\"31495168\"]\n  29 [size=\"29672107\", alpha=\"0.13\", expect_size=\"8901632\"] \n  29 -> 35 [size =\"8901632\"]\n  29 -> 37 [size =\"8901632\"]\n  29 -> 39 [size =\"8901632\"]\n  29 -> 41 [size =\"8901632\"]\n  29 -> 42 [size =\"8901632\"]\n  29 -> 43 [size =\"8901632\"]\n  30 [size=\"125573120\", alpha=\"0.09\", expect_size=\"37671936\"] \n  30 -> 36 [size =\"37671936\"]\n  30 -> 37 [size =\"37671936\"]\n  30 -> 38 [size =\"37671936\"]\n  30 -> 39 [size =\"37671936\"]\n  30 -> 40 [size =\"37671936\"]\n  30 -> 41 [size =\"37671936\"]\n  30 -> 43 [size =\"37671936\"]\n  31 [size=\"134580907\", alpha=\"0.14\", expect_size=\"40374272\"] \n  31 -> 38 [size =\"40374272\"]\n  31 -> 39 [size =\"40374272\"]\n  31 -> 43 [size =\"40374272\"]\n  31 -> 45 [size =\"40374272\"]\n  32 [size=\"38253227\", alpha=\"0.17\", expect_size=\"11475968\"] \n  32 -> 37 [size =\"11475968\"]\n  32 -> 38 [size =\"11475968\"]\n  32 -> 39 [size =\"11475968\"]\n  32 -> 40 [size =\"11475968\"]\n  32 -> 43 [size =\"11475968\"]\n  33 [size=\"29911040\", alpha=\"0.04\", expect_size=\"8973312\"] \n  34 [size=\"172107093\", alpha=\"0.15\", expect_size=\"51632128\"] \n  35 [size=\"57221120\", alpha=\"0.15\", expect_size=\"17166336\"] \n  36 [size=\"76397227\", alpha=\"0.05\", expect_size=\"22919168\"] \n  37 [size=\"50786987\", alpha=\"0.04\", expect_size=\"15236096\"] \n  38 [size=\"145517227\", alpha=\"0.14\", expect_size=\"43655168\"] \n  39 [size=\"119087787\", alpha=\"0.00\", expect_size=\"35726336\"] \n  40 [size=\"64136533\", alpha=\"0.17\", expect_size=\"19240960\"] \n  41 [size=\"137444693\", alpha=\"0.12\", expect_size=\"41233408\"] \n  42 [size=\"87111680\", alpha=\"0.11\", expect_size=\"26133504\"] \n  43 [size=\"66976427\", alpha=\"0.19\", expect_size=\"20092928\"] \n  44 [size=\"102335147\", alpha=\"0.11\", expect_size=\"30700544\"] \n  45 [size=\"62436693\", alpha=\"0.05\", expect_size=\"18731008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66191360\", alpha=\"0.03\", expect_size=\"19857408\"] \n  1 -> 39 [size =\"19857408\"]\n  1 -> 42 [size =\"19857408\"]\n  1 -> 44 [size =\"19857408\"]\n  2 [size=\"97433600\", alpha=\"0.12\", expect_size=\"29230080\"] \n  2 -> 41 [size =\"29230080\"]\n  2 -> 42 [size =\"29230080\"]\n  2 -> 43 [size =\"29230080\"]\n  2 -> 44 [size =\"29230080\"]\n  3 [size=\"31303680\", alpha=\"0.02\", expect_size=\"9391104\"] \n  3 -> 39 [size =\"9391104\"]\n  3 -> 40 [size =\"9391104\"]\n  3 -> 41 [size =\"9391104\"]\n  3 -> 43 [size =\"9391104\"]\n  3 -> 44 [size =\"9391104\"]\n  4 [size=\"93934933\", alpha=\"0.17\", expect_size=\"28180480\"] \n  4 -> 40 [size =\"28180480\"]\n  4 -> 43 [size =\"28180480\"]\n  4 -> 44 [size =\"28180480\"]\n  5 [size=\"171461973\", alpha=\"0.16\", expect_size=\"51438592\"] \n  5 -> 39 [size =\"51438592\"]\n  5 -> 43 [size =\"51438592\"]\n  6 [size=\"35092480\", alpha=\"0.09\", expect_size=\"10527744\"] \n  6 -> 42 [size =\"10527744\"]\n  6 -> 43 [size =\"10527744\"]\n  6 -> 45 [size =\"10527744\"]\n  7 [size=\"107093333\", alpha=\"0.00\", expect_size=\"32128000\"] \n  7 -> 42 [size =\"32128000\"]\n  7 -> 43 [size =\"32128000\"]\n  8 [size=\"17967787\", alpha=\"0.05\", expect_size=\"5390336\"] \n  8 -> 39 [size =\"5390336\"]\n  8 -> 42 [size =\"5390336\"]\n  8 -> 43 [size =\"5390336\"]\n  9 [size=\"67300693\", alpha=\"0.03\", expect_size=\"20190208\"] \n  9 -> 42 [size =\"20190208\"]\n  9 -> 45 [size =\"20190208\"]\n  10 [size=\"123634347\", alpha=\"0.02\", expect_size=\"37090304\"] \n  10 -> 39 [size =\"37090304\"]\n  10 -> 41 [size =\"37090304\"]\n  11 [size=\"36621653\", alpha=\"0.14\", expect_size=\"10986496\"] \n  11 -> 40 [size =\"10986496\"]\n  12 [size=\"57746773\", alpha=\"0.15\", expect_size=\"17324032\"] \n  12 -> 40 [size =\"17324032\"]\n  12 -> 42 [size =\"17324032\"]\n  12 -> 44 [size =\"17324032\"]\n  13 [size=\"153914027\", alpha=\"0.17\", expect_size=\"46174208\"] \n  13 -> 42 [size =\"46174208\"]\n  13 -> 42 [size =\"46174208\"]\n  14 [size=\"167205547\", alpha=\"0.16\", expect_size=\"50161664\"] \n  14 -> 42 [size =\"50161664\"]\n  14 -> 45 [size =\"50161664\"]\n  15 [size=\"144049493\", alpha=\"0.02\", expect_size=\"43214848\"] \n  15 -> 42 [size =\"43214848\"]\n  15 -> 44 [size =\"43214848\"]\n  15 -> 45 [size =\"43214848\"]\n  16 [size=\"112186027\", alpha=\"0.03\", expect_size=\"33655808\"] \n  16 -> 42 [size =\"33655808\"]\n  16 -> 45 [size =\"33655808\"]\n  17 [size=\"26494293\", alpha=\"0.12\", expect_size=\"7948288\"] \n  17 -> 43 [size =\"7948288\"]\n  18 [size=\"28412587\", alpha=\"0.03\", expect_size=\"8523776\"] \n  18 -> 42 [size =\"8523776\"]\n  18 -> 44 [size =\"8523776\"]\n  19 [size=\"71403520\", alpha=\"0.20\", expect_size=\"21421056\"] \n  19 -> 40 [size =\"21421056\"]\n  19 -> 42 [size =\"21421056\"]\n  19 -> 44 [size =\"21421056\"]\n  20 [size=\"92613973\", alpha=\"0.19\", expect_size=\"27784192\"] \n  20 -> 44 [size =\"27784192\"]\n  20 -> 45 [size =\"27784192\"]\n  21 [size=\"107373227\", alpha=\"0.04\", expect_size=\"32211968\"] \n  21 -> 40 [size =\"32211968\"]\n  21 -> 42 [size =\"32211968\"]\n  21 -> 44 [size =\"32211968\"]\n  22 [size=\"60228267\", alpha=\"0.19\", expect_size=\"18068480\"] \n  23 [size=\"18670933\", alpha=\"0.16\", expect_size=\"5601280\"] \n  23 -> 40 [size =\"5601280\"]\n  24 [size=\"154528427\", alpha=\"0.03\", expect_size=\"46358528\"] \n  24 -> 41 [size =\"46358528\"]\n  25 [size=\"124054187\", alpha=\"0.09\", expect_size=\"37216256\"] \n  25 -> 43 [size =\"37216256\"]\n  26 [size=\"141841067\", alpha=\"0.17\", expect_size=\"42552320\"] \n  26 -> 39 [size =\"42552320\"]\n  26 -> 42 [size =\"42552320\"]\n  26 -> 45 [size =\"42552320\"]\n  27 [size=\"165294080\", alpha=\"0.17\", expect_size=\"49588224\"] \n  27 -> 42 [size =\"49588224\"]\n  27 -> 44 [size =\"49588224\"]\n  28 [size=\"102502400\", alpha=\"0.17\", expect_size=\"30750720\"] \n  28 -> 39 [size =\"30750720\"]\n  28 -> 42 [size =\"30750720\"]\n  29 [size=\"126593707\", alpha=\"0.04\", expect_size=\"37978112\"] \n  29 -> 43 [size =\"37978112\"]\n  29 -> 44 [size =\"37978112\"]\n  30 [size=\"126395733\", alpha=\"0.03\", expect_size=\"37918720\"] \n  30 -> 43 [size =\"37918720\"]\n  30 -> 44 [size =\"37918720\"]\n  30 -> 45 [size =\"37918720\"]\n  31 [size=\"117022720\", alpha=\"0.06\", expect_size=\"35106816\"] \n  31 -> 41 [size =\"35106816\"]\n  31 -> 43 [size =\"35106816\"]\n  31 -> 44 [size =\"35106816\"]\n  32 [size=\"147193173\", alpha=\"0.13\", expect_size=\"44157952\"] \n  32 -> 44 [size =\"44157952\"]\n  33 [size=\"139581440\", alpha=\"0.18\", expect_size=\"41874432\"] \n  33 -> 45 [size =\"41874432\"]\n  34 [size=\"108014933\", alpha=\"0.01\", expect_size=\"32404480\"] \n  34 -> 39 [size =\"32404480\"]\n  34 -> 40 [size =\"32404480\"]\n  34 -> 42 [size =\"32404480\"]\n  35 [size=\"128952320\", alpha=\"0.01\", expect_size=\"38685696\"] \n  35 -> 44 [size =\"38685696\"]\n  36 [size=\"41816747\", alpha=\"0.13\", expect_size=\"12545024\"] \n  36 -> 42 [size =\"12545024\"]\n  36 -> 43 [size =\"12545024\"]\n  36 -> 44 [size =\"12545024\"]\n  37 [size=\"21504000\", alpha=\"0.06\", expect_size=\"6451200\"] \n  37 -> 40 [size =\"6451200\"]\n  37 -> 42 [size =\"6451200\"]\n  37 -> 44 [size =\"6451200\"]\n  38 [size=\"157637973\", alpha=\"0.00\", expect_size=\"47291392\"] \n  38 -> 40 [size =\"47291392\"]\n  38 -> 43 [size =\"47291392\"]\n  38 -> 44 [size =\"47291392\"]\n  39 [size=\"136137387\", alpha=\"0.02\", expect_size=\"40841216\"] \n  40 [size=\"164109653\", alpha=\"0.13\", expect_size=\"49232896\"] \n  41 [size=\"33143467\", alpha=\"0.15\", expect_size=\"9943040\"] \n  42 [size=\"76957013\", alpha=\"0.03\", expect_size=\"23087104\"] \n  43 [size=\"21254827\", alpha=\"0.10\", expect_size=\"6376448\"] \n  44 [size=\"159761067\", alpha=\"0.16\", expect_size=\"47928320\"] \n  45 [size=\"170345813\", alpha=\"0.14\", expect_size=\"51103744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53831680\", alpha=\"0.03\", expect_size=\"16149504\"] \n  1 -> 21 [size =\"16149504\"]\n  1 -> 22 [size =\"16149504\"]\n  1 -> 26 [size =\"16149504\"]\n  1 -> 26 [size =\"16149504\"]\n  1 -> 31 [size =\"16149504\"]\n  1 -> 32 [size =\"16149504\"]\n  1 -> 33 [size =\"16149504\"]\n  1 -> 34 [size =\"16149504\"]\n  2 [size=\"162160640\", alpha=\"0.10\", expect_size=\"48648192\"] \n  2 -> 20 [size =\"48648192\"]\n  2 -> 21 [size =\"48648192\"]\n  2 -> 22 [size =\"48648192\"]\n  2 -> 29 [size =\"48648192\"]\n  2 -> 31 [size =\"48648192\"]\n  2 -> 33 [size =\"48648192\"]\n  2 -> 36 [size =\"48648192\"]\n  3 [size=\"79329280\", alpha=\"0.05\", expect_size=\"23798784\"] \n  3 -> 20 [size =\"23798784\"]\n  3 -> 22 [size =\"23798784\"]\n  3 -> 25 [size =\"23798784\"]\n  3 -> 28 [size =\"23798784\"]\n  3 -> 29 [size =\"23798784\"]\n  3 -> 31 [size =\"23798784\"]\n  3 -> 33 [size =\"23798784\"]\n  4 [size=\"139601920\", alpha=\"0.19\", expect_size=\"41880576\"] \n  4 -> 20 [size =\"41880576\"]\n  4 -> 22 [size =\"41880576\"]\n  4 -> 25 [size =\"41880576\"]\n  4 -> 28 [size =\"41880576\"]\n  4 -> 29 [size =\"41880576\"]\n  4 -> 31 [size =\"41880576\"]\n  5 [size=\"142001493\", alpha=\"0.18\", expect_size=\"42600448\"] \n  5 -> 20 [size =\"42600448\"]\n  5 -> 31 [size =\"42600448\"]\n  5 -> 32 [size =\"42600448\"]\n  5 -> 34 [size =\"42600448\"]\n  6 [size=\"19725653\", alpha=\"0.14\", expect_size=\"5917696\"] \n  6 -> 21 [size =\"5917696\"]\n  6 -> 22 [size =\"5917696\"]\n  6 -> 27 [size =\"5917696\"]\n  6 -> 28 [size =\"5917696\"]\n  6 -> 31 [size =\"5917696\"]\n  6 -> 34 [size =\"5917696\"]\n  6 -> 36 [size =\"5917696\"]\n  7 [size=\"152739840\", alpha=\"0.14\", expect_size=\"45821952\"] \n  7 -> 22 [size =\"45821952\"]\n  7 -> 22 [size =\"45821952\"]\n  7 -> 29 [size =\"45821952\"]\n  7 -> 31 [size =\"45821952\"]\n  7 -> 31 [size =\"45821952\"]\n  7 -> 32 [size =\"45821952\"]\n  7 -> 34 [size =\"45821952\"]\n  7 -> 35 [size =\"45821952\"]\n  8 [size=\"87944533\", alpha=\"0.10\", expect_size=\"26383360\"] \n  8 -> 25 [size =\"26383360\"]\n  8 -> 27 [size =\"26383360\"]\n  8 -> 33 [size =\"26383360\"]\n  8 -> 34 [size =\"26383360\"]\n  9 [size=\"172888747\", alpha=\"0.03\", expect_size=\"51866624\"] \n  9 -> 21 [size =\"51866624\"]\n  9 -> 22 [size =\"51866624\"]\n  9 -> 23 [size =\"51866624\"]\n  9 -> 24 [size =\"51866624\"]\n  9 -> 27 [size =\"51866624\"]\n  9 -> 32 [size =\"51866624\"]\n  10 [size=\"47175680\", alpha=\"0.17\", expect_size=\"14152704\"] \n  10 -> 20 [size =\"14152704\"]\n  10 -> 21 [size =\"14152704\"]\n  10 -> 22 [size =\"14152704\"]\n  10 -> 26 [size =\"14152704\"]\n  10 -> 28 [size =\"14152704\"]\n  10 -> 29 [size =\"14152704\"]\n  11 [size=\"124037120\", alpha=\"0.06\", expect_size=\"37211136\"] \n  11 -> 20 [size =\"37211136\"]\n  11 -> 24 [size =\"37211136\"]\n  11 -> 25 [size =\"37211136\"]\n  11 -> 27 [size =\"37211136\"]\n  11 -> 29 [size =\"37211136\"]\n  11 -> 29 [size =\"37211136\"]\n  11 -> 33 [size =\"37211136\"]\n  11 -> 34 [size =\"37211136\"]\n  11 -> 36 [size =\"37211136\"]\n  12 [size=\"150992213\", alpha=\"0.02\", expect_size=\"45297664\"] \n  12 -> 20 [size =\"45297664\"]\n  12 -> 24 [size =\"45297664\"]\n  12 -> 28 [size =\"45297664\"]\n  12 -> 29 [size =\"45297664\"]\n  12 -> 32 [size =\"45297664\"]\n  12 -> 34 [size =\"45297664\"]\n  12 -> 36 [size =\"45297664\"]\n  13 [size=\"73826987\", alpha=\"0.12\", expect_size=\"22148096\"] \n  13 -> 22 [size =\"22148096\"]\n  13 -> 27 [size =\"22148096\"]\n  13 -> 28 [size =\"22148096\"]\n  13 -> 30 [size =\"22148096\"]\n  13 -> 34 [size =\"22148096\"]\n  13 -> 34 [size =\"22148096\"]\n  14 [size=\"110469120\", alpha=\"0.10\", expect_size=\"33140736\"] \n  14 -> 20 [size =\"33140736\"]\n  14 -> 21 [size =\"33140736\"]\n  14 -> 22 [size =\"33140736\"]\n  14 -> 24 [size =\"33140736\"]\n  14 -> 33 [size =\"33140736\"]\n  14 -> 36 [size =\"33140736\"]\n  15 [size=\"105908907\", alpha=\"0.09\", expect_size=\"31772672\"] \n  15 -> 20 [size =\"31772672\"]\n  15 -> 21 [size =\"31772672\"]\n  15 -> 22 [size =\"31772672\"]\n  15 -> 24 [size =\"31772672\"]\n  15 -> 26 [size =\"31772672\"]\n  16 [size=\"89023147\", alpha=\"0.03\", expect_size=\"26706944\"] \n  16 -> 20 [size =\"26706944\"]\n  16 -> 21 [size =\"26706944\"]\n  16 -> 24 [size =\"26706944\"]\n  16 -> 25 [size =\"26706944\"]\n  16 -> 30 [size =\"26706944\"]\n  16 -> 31 [size =\"26706944\"]\n  16 -> 33 [size =\"26706944\"]\n  17 [size=\"41243307\", alpha=\"0.05\", expect_size=\"12372992\"] \n  17 -> 21 [size =\"12372992\"]\n  17 -> 23 [size =\"12372992\"]\n  17 -> 24 [size =\"12372992\"]\n  17 -> 31 [size =\"12372992\"]\n  17 -> 32 [size =\"12372992\"]\n  17 -> 36 [size =\"12372992\"]\n  18 [size=\"152760320\", alpha=\"0.19\", expect_size=\"45828096\"] \n  18 -> 20 [size =\"45828096\"]\n  18 -> 21 [size =\"45828096\"]\n  18 -> 24 [size =\"45828096\"]\n  18 -> 25 [size =\"45828096\"]\n  18 -> 32 [size =\"45828096\"]\n  18 -> 34 [size =\"45828096\"]\n  19 [size=\"75946667\", alpha=\"0.17\", expect_size=\"22784000\"] \n  19 -> 20 [size =\"22784000\"]\n  19 -> 21 [size =\"22784000\"]\n  19 -> 25 [size =\"22784000\"]\n  19 -> 26 [size =\"22784000\"]\n  19 -> 32 [size =\"22784000\"]\n  19 -> 33 [size =\"22784000\"]\n  20 [size=\"96194560\", alpha=\"0.12\", expect_size=\"28858368\"] \n  20 -> 38 [size =\"28858368\"]\n  20 -> 39 [size =\"28858368\"]\n  20 -> 44 [size =\"28858368\"]\n  21 [size=\"73888427\", alpha=\"0.12\", expect_size=\"22166528\"] \n  21 -> 39 [size =\"22166528\"]\n  21 -> 42 [size =\"22166528\"]\n  21 -> 44 [size =\"22166528\"]\n  22 [size=\"122333867\", alpha=\"0.10\", expect_size=\"36700160\"] \n  22 -> 39 [size =\"36700160\"]\n  22 -> 44 [size =\"36700160\"]\n  22 -> 45 [size =\"36700160\"]\n  23 [size=\"135509333\", alpha=\"0.16\", expect_size=\"40652800\"] \n  23 -> 37 [size =\"40652800\"]\n  23 -> 39 [size =\"40652800\"]\n  23 -> 42 [size =\"40652800\"]\n  23 -> 45 [size =\"40652800\"]\n  24 [size=\"74844160\", alpha=\"0.18\", expect_size=\"22453248\"] \n  24 -> 39 [size =\"22453248\"]\n  24 -> 39 [size =\"22453248\"]\n  24 -> 42 [size =\"22453248\"]\n  25 [size=\"155351040\", alpha=\"0.15\", expect_size=\"46605312\"] \n  25 -> 40 [size =\"46605312\"]\n  25 -> 45 [size =\"46605312\"]\n  26 [size=\"72512853\", alpha=\"0.13\", expect_size=\"21753856\"] \n  27 [size=\"95808853\", alpha=\"0.08\", expect_size=\"28742656\"] \n  27 -> 37 [size =\"28742656\"]\n  27 -> 42 [size =\"28742656\"]\n  27 -> 44 [size =\"28742656\"]\n  27 -> 45 [size =\"28742656\"]\n  28 [size=\"135881387\", alpha=\"0.12\", expect_size=\"40764416\"] \n  28 -> 40 [size =\"40764416\"]\n  28 -> 42 [size =\"40764416\"]\n  28 -> 44 [size =\"40764416\"]\n  28 -> 45 [size =\"40764416\"]\n  29 [size=\"131211947\", alpha=\"0.15\", expect_size=\"39363584\"] \n  29 -> 38 [size =\"39363584\"]\n  29 -> 39 [size =\"39363584\"]\n  29 -> 40 [size =\"39363584\"]\n  30 [size=\"108564480\", alpha=\"0.03\", expect_size=\"32569344\"] \n  30 -> 38 [size =\"32569344\"]\n  30 -> 39 [size =\"32569344\"]\n  30 -> 40 [size =\"32569344\"]\n  30 -> 41 [size =\"32569344\"]\n  30 -> 43 [size =\"32569344\"]\n  30 -> 45 [size =\"32569344\"]\n  31 [size=\"47841280\", alpha=\"0.04\", expect_size=\"14352384\"] \n  31 -> 38 [size =\"14352384\"]\n  31 -> 39 [size =\"14352384\"]\n  31 -> 40 [size =\"14352384\"]\n  31 -> 41 [size =\"14352384\"]\n  31 -> 42 [size =\"14352384\"]\n  31 -> 43 [size =\"14352384\"]\n  31 -> 45 [size =\"14352384\"]\n  32 [size=\"142687573\", alpha=\"0.02\", expect_size=\"42806272\"] \n  32 -> 38 [size =\"42806272\"]\n  32 -> 39 [size =\"42806272\"]\n  32 -> 40 [size =\"42806272\"]\n  32 -> 45 [size =\"42806272\"]\n  33 [size=\"65935360\", alpha=\"0.07\", expect_size=\"19780608\"] \n  33 -> 37 [size =\"19780608\"]\n  33 -> 38 [size =\"19780608\"]\n  33 -> 39 [size =\"19780608\"]\n  33 -> 40 [size =\"19780608\"]\n  33 -> 41 [size =\"19780608\"]\n  33 -> 42 [size =\"19780608\"]\n  33 -> 45 [size =\"19780608\"]\n  34 [size=\"36720640\", alpha=\"0.04\", expect_size=\"11016192\"] \n  34 -> 38 [size =\"11016192\"]\n  34 -> 38 [size =\"11016192\"]\n  34 -> 40 [size =\"11016192\"]\n  34 -> 41 [size =\"11016192\"]\n  34 -> 42 [size =\"11016192\"]\n  34 -> 45 [size =\"11016192\"]\n  35 [size=\"19886080\", alpha=\"0.12\", expect_size=\"5965824\"] \n  35 -> 43 [size =\"5965824\"]\n  35 -> 44 [size =\"5965824\"]\n  35 -> 45 [size =\"5965824\"]\n  36 [size=\"139956907\", alpha=\"0.09\", expect_size=\"41987072\"] \n  36 -> 38 [size =\"41987072\"]\n  36 -> 44 [size =\"41987072\"]\n  36 -> 45 [size =\"41987072\"]\n  37 [size=\"84616533\", alpha=\"0.09\", expect_size=\"25384960\"] \n  38 [size=\"146411520\", alpha=\"0.07\", expect_size=\"43923456\"] \n  39 [size=\"81240747\", alpha=\"0.12\", expect_size=\"24372224\"] \n  40 [size=\"44516693\", alpha=\"0.07\", expect_size=\"13355008\"] \n  41 [size=\"65945600\", alpha=\"0.09\", expect_size=\"19783680\"] \n  42 [size=\"94801920\", alpha=\"0.04\", expect_size=\"28440576\"] \n  43 [size=\"107315200\", alpha=\"0.15\", expect_size=\"32194560\"] \n  44 [size=\"159839573\", alpha=\"0.12\", expect_size=\"47951872\"] \n  45 [size=\"30795093\", alpha=\"0.08\", expect_size=\"9238528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81305600\", alpha=\"0.07\", expect_size=\"40652800\"] \n  1 -> 2 [size =\"40652800\"]\n  2 [size=\"26558464\", alpha=\"0.07\", expect_size=\"13279232\"] \n  2 -> 3 [size =\"13279232\"]\n  3 [size=\"11397120\", alpha=\"0.07\", expect_size=\"5698560\"] \n  3 -> 4 [size =\"5698560\"]\n  4 [size=\"100974592\", alpha=\"0.11\", expect_size=\"50487296\"] \n  4 -> 5 [size =\"50487296\"]\n  5 [size=\"94230528\", alpha=\"0.02\", expect_size=\"47115264\"] \n  5 -> 6 [size =\"47115264\"]\n  6 [size=\"70924288\", alpha=\"0.15\", expect_size=\"35462144\"] \n  6 -> 7 [size =\"35462144\"]\n  7 [size=\"99956736\", alpha=\"0.05\", expect_size=\"49978368\"] \n  7 -> 8 [size =\"49978368\"]\n  8 [size=\"64495616\", alpha=\"0.08\", expect_size=\"32247808\"] \n  8 -> 9 [size =\"32247808\"]\n  9 [size=\"63399936\", alpha=\"0.13\", expect_size=\"31699968\"] \n  9 -> 10 [size =\"31699968\"]\n  10 [size=\"19589120\", alpha=\"0.19\", expect_size=\"9794560\"] \n  10 -> 11 [size =\"9794560\"]\n  11 [size=\"70008832\", alpha=\"0.09\", expect_size=\"35004416\"] \n  11 -> 12 [size =\"35004416\"]\n  12 [size=\"103575552\", alpha=\"0.17\", expect_size=\"51787776\"] \n  12 -> 13 [size =\"51787776\"]\n  13 [size=\"42250240\", alpha=\"0.04\", expect_size=\"21125120\"] \n  13 -> 14 [size =\"21125120\"]\n  14 [size=\"75999232\", alpha=\"0.20\", expect_size=\"37999616\"] \n  14 -> 15 [size =\"37999616\"]\n  15 [size=\"31248384\", alpha=\"0.13\", expect_size=\"15624192\"] \n  15 -> 16 [size =\"15624192\"]\n  16 [size=\"39684096\", alpha=\"0.04\", expect_size=\"19842048\"] \n  16 -> 17 [size =\"19842048\"]\n  17 [size=\"15190016\", alpha=\"0.15\", expect_size=\"7595008\"] \n  17 -> 18 [size =\"7595008\"]\n  18 [size=\"39831552\", alpha=\"0.09\", expect_size=\"19915776\"] \n  18 -> 19 [size =\"19915776\"]\n  19 [size=\"79630336\", alpha=\"0.18\", expect_size=\"39815168\"] \n  19 -> 20 [size =\"39815168\"]\n  20 [size=\"45901824\", alpha=\"0.03\", expect_size=\"22950912\"] \n  20 -> 21 [size =\"22950912\"]\n  21 [size=\"40239104\", alpha=\"0.02\", expect_size=\"20119552\"] \n  21 -> 22 [size =\"20119552\"]\n  22 [size=\"82272256\", alpha=\"0.05\", expect_size=\"41136128\"] \n  22 -> 23 [size =\"41136128\"]\n  23 [size=\"67958784\", alpha=\"0.08\", expect_size=\"33979392\"] \n  23 -> 24 [size =\"33979392\"]\n  24 [size=\"88358912\", alpha=\"0.11\", expect_size=\"44179456\"] \n  24 -> 25 [size =\"44179456\"]\n  25 [size=\"87166976\", alpha=\"0.11\", expect_size=\"43583488\"] \n  25 -> 26 [size =\"43583488\"]\n  26 [size=\"52566016\", alpha=\"0.04\", expect_size=\"26283008\"] \n  26 -> 27 [size =\"26283008\"]\n  27 [size=\"71008256\", alpha=\"0.16\", expect_size=\"35504128\"] \n  27 -> 28 [size =\"35504128\"]\n  28 [size=\"49016832\", alpha=\"0.19\", expect_size=\"24508416\"] \n  28 -> 29 [size =\"24508416\"]\n  29 [size=\"92459008\", alpha=\"0.14\", expect_size=\"46229504\"] \n  29 -> 30 [size =\"46229504\"]\n  30 [size=\"82558976\", alpha=\"0.11\", expect_size=\"41279488\"] \n  30 -> 31 [size =\"41279488\"]\n  31 [size=\"94558208\", alpha=\"0.20\", expect_size=\"47279104\"] \n  31 -> 32 [size =\"47279104\"]\n  32 [size=\"10532864\", alpha=\"0.09\", expect_size=\"5266432\"] \n  32 -> 33 [size =\"5266432\"]\n  33 [size=\"35303424\", alpha=\"0.04\", expect_size=\"17651712\"] \n  33 -> 34 [size =\"17651712\"]\n  34 [size=\"75407360\", alpha=\"0.14\", expect_size=\"37703680\"] \n  34 -> 35 [size =\"37703680\"]\n  35 [size=\"32589824\", alpha=\"0.08\", expect_size=\"16294912\"] \n  35 -> 36 [size =\"16294912\"]\n  36 [size=\"84971520\", alpha=\"0.08\", expect_size=\"42485760\"] \n  36 -> 37 [size =\"42485760\"]\n  37 [size=\"104245248\", alpha=\"0.09\", expect_size=\"52122624\"] \n  37 -> 38 [size =\"52122624\"]\n  38 [size=\"85512192\", alpha=\"0.16\", expect_size=\"42756096\"] \n  38 -> 39 [size =\"42756096\"]\n  39 [size=\"82784256\", alpha=\"0.18\", expect_size=\"41392128\"] \n  39 -> 40 [size =\"41392128\"]\n  40 [size=\"54605824\", alpha=\"0.07\", expect_size=\"27302912\"] \n  40 -> 41 [size =\"27302912\"]\n  41 [size=\"104452096\", alpha=\"0.03\", expect_size=\"52226048\"] \n  41 -> 42 [size =\"52226048\"]\n  42 [size=\"103104512\", alpha=\"0.14\", expect_size=\"51552256\"] \n  42 -> 43 [size =\"51552256\"]\n  43 [size=\"49281024\", alpha=\"0.17\", expect_size=\"24640512\"] \n  43 -> 44 [size =\"24640512\"]\n  44 [size=\"69120000\", alpha=\"0.17\", expect_size=\"34560000\"] \n  44 -> 45 [size =\"34560000\"]\n  45 [size=\"39393280\", alpha=\"0.13\", expect_size=\"19696640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53510827\", alpha=\"0.11\", expect_size=\"16053248\"] \n  1 -> 10 [size =\"16053248\"]\n  1 -> 10 [size =\"16053248\"]\n  1 -> 11 [size =\"16053248\"]\n  1 -> 13 [size =\"16053248\"]\n  2 [size=\"155572907\", alpha=\"0.12\", expect_size=\"46671872\"] \n  2 -> 10 [size =\"46671872\"]\n  2 -> 11 [size =\"46671872\"]\n  2 -> 11 [size =\"46671872\"]\n  2 -> 13 [size =\"46671872\"]\n  3 [size=\"164457813\", alpha=\"0.04\", expect_size=\"49337344\"] \n  3 -> 8 [size =\"49337344\"]\n  3 -> 11 [size =\"49337344\"]\n  3 -> 13 [size =\"49337344\"]\n  4 [size=\"87678293\", alpha=\"0.06\", expect_size=\"26303488\"] \n  4 -> 9 [size =\"26303488\"]\n  4 -> 14 [size =\"26303488\"]\n  5 [size=\"93245440\", alpha=\"0.18\", expect_size=\"27973632\"] \n  5 -> 10 [size =\"27973632\"]\n  5 -> 12 [size =\"27973632\"]\n  5 -> 14 [size =\"27973632\"]\n  6 [size=\"47182507\", alpha=\"0.13\", expect_size=\"14154752\"] \n  6 -> 8 [size =\"14154752\"]\n  6 -> 9 [size =\"14154752\"]\n  7 [size=\"71782400\", alpha=\"0.05\", expect_size=\"21534720\"] \n  7 -> 8 [size =\"21534720\"]\n  7 -> 10 [size =\"21534720\"]\n  7 -> 11 [size =\"21534720\"]\n  7 -> 12 [size =\"21534720\"]\n  7 -> 13 [size =\"21534720\"]\n  7 -> 14 [size =\"21534720\"]\n  8 [size=\"76875093\", alpha=\"0.01\", expect_size=\"23062528\"] \n  8 -> 16 [size =\"23062528\"]\n  8 -> 17 [size =\"23062528\"]\n  8 -> 20 [size =\"23062528\"]\n  9 [size=\"58077867\", alpha=\"0.11\", expect_size=\"17423360\"] \n  9 -> 20 [size =\"17423360\"]\n  10 [size=\"165724160\", alpha=\"0.08\", expect_size=\"49717248\"] \n  10 -> 17 [size =\"49717248\"]\n  10 -> 18 [size =\"49717248\"]\n  11 [size=\"158474240\", alpha=\"0.03\", expect_size=\"47542272\"] \n  11 -> 17 [size =\"47542272\"]\n  11 -> 19 [size =\"47542272\"]\n  12 [size=\"90214400\", alpha=\"0.01\", expect_size=\"27064320\"] \n  12 -> 15 [size =\"27064320\"]\n  13 [size=\"27569493\", alpha=\"0.13\", expect_size=\"8270848\"] \n  13 -> 16 [size =\"8270848\"]\n  13 -> 17 [size =\"8270848\"]\n  13 -> 18 [size =\"8270848\"]\n  13 -> 20 [size =\"8270848\"]\n  14 [size=\"56558933\", alpha=\"0.09\", expect_size=\"16967680\"] \n  15 [size=\"106540373\", alpha=\"0.10\", expect_size=\"31962112\"] \n  15 -> 22 [size =\"31962112\"]\n  15 -> 23 [size =\"31962112\"]\n  16 [size=\"92788053\", alpha=\"0.07\", expect_size=\"27836416\"] \n  16 -> 21 [size =\"27836416\"]\n  16 -> 22 [size =\"27836416\"]\n  17 [size=\"33996800\", alpha=\"0.03\", expect_size=\"10199040\"] \n  17 -> 22 [size =\"10199040\"]\n  17 -> 23 [size =\"10199040\"]\n  17 -> 24 [size =\"10199040\"]\n  18 [size=\"72963413\", alpha=\"0.15\", expect_size=\"21889024\"] \n  18 -> 24 [size =\"21889024\"]\n  18 -> 26 [size =\"21889024\"]\n  19 [size=\"81080320\", alpha=\"0.02\", expect_size=\"24324096\"] \n  19 -> 22 [size =\"24324096\"]\n  19 -> 24 [size =\"24324096\"]\n  19 -> 25 [size =\"24324096\"]\n  19 -> 26 [size =\"24324096\"]\n  20 [size=\"169297920\", alpha=\"0.10\", expect_size=\"50789376\"] \n  20 -> 23 [size =\"50789376\"]\n  20 -> 24 [size =\"50789376\"]\n  21 [size=\"78397440\", alpha=\"0.03\", expect_size=\"23519232\"] \n  22 [size=\"102103040\", alpha=\"0.13\", expect_size=\"30630912\"] \n  23 [size=\"106588160\", alpha=\"0.01\", expect_size=\"31976448\"] \n  23 -> 27 [size =\"31976448\"]\n  23 -> 28 [size =\"31976448\"]\n  23 -> 29 [size =\"31976448\"]\n  23 -> 31 [size =\"31976448\"]\n  24 [size=\"52193280\", alpha=\"0.19\", expect_size=\"15657984\"] \n  24 -> 27 [size =\"15657984\"]\n  24 -> 29 [size =\"15657984\"]\n  24 -> 31 [size =\"15657984\"]\n  25 [size=\"120780800\", alpha=\"0.06\", expect_size=\"36234240\"] \n  25 -> 30 [size =\"36234240\"]\n  25 -> 31 [size =\"36234240\"]\n  26 [size=\"43233280\", alpha=\"0.17\", expect_size=\"12969984\"] \n  26 -> 29 [size =\"12969984\"]\n  26 -> 30 [size =\"12969984\"]\n  26 -> 32 [size =\"12969984\"]\n  27 [size=\"100857173\", alpha=\"0.15\", expect_size=\"30257152\"] \n  28 [size=\"121043627\", alpha=\"0.01\", expect_size=\"36313088\"] \n  28 -> 33 [size =\"36313088\"]\n  28 -> 36 [size =\"36313088\"]\n  29 [size=\"85142187\", alpha=\"0.11\", expect_size=\"25542656\"] \n  29 -> 33 [size =\"25542656\"]\n  29 -> 36 [size =\"25542656\"]\n  30 [size=\"102871040\", alpha=\"0.01\", expect_size=\"30861312\"] \n  30 -> 33 [size =\"30861312\"]\n  30 -> 34 [size =\"30861312\"]\n  30 -> 35 [size =\"30861312\"]\n  31 [size=\"25234773\", alpha=\"0.08\", expect_size=\"7570432\"] \n  31 -> 34 [size =\"7570432\"]\n  31 -> 35 [size =\"7570432\"]\n  32 [size=\"45554347\", alpha=\"0.05\", expect_size=\"13666304\"] \n  33 [size=\"144643413\", alpha=\"0.03\", expect_size=\"43393024\"] \n  33 -> 38 [size =\"43393024\"]\n  33 -> 39 [size =\"43393024\"]\n  33 -> 40 [size =\"43393024\"]\n  33 -> 42 [size =\"43393024\"]\n  34 [size=\"154907307\", alpha=\"0.06\", expect_size=\"46472192\"] \n  34 -> 39 [size =\"46472192\"]\n  34 -> 41 [size =\"46472192\"]\n  34 -> 43 [size =\"46472192\"]\n  35 [size=\"146554880\", alpha=\"0.00\", expect_size=\"43966464\"] \n  36 [size=\"38065493\", alpha=\"0.04\", expect_size=\"11419648\"] \n  36 -> 37 [size =\"11419648\"]\n  36 -> 40 [size =\"11419648\"]\n  36 -> 42 [size =\"11419648\"]\n  36 -> 43 [size =\"11419648\"]\n  37 [size=\"173721600\", alpha=\"0.10\", expect_size=\"52116480\"] \n  37 -> 44 [size =\"52116480\"]\n  38 [size=\"135973547\", alpha=\"0.03\", expect_size=\"40792064\"] \n  38 -> 45 [size =\"40792064\"]\n  39 [size=\"141509973\", alpha=\"0.04\", expect_size=\"42452992\"] \n  39 -> 45 [size =\"42452992\"]\n  40 [size=\"73642667\", alpha=\"0.05\", expect_size=\"22092800\"] \n  41 [size=\"80626347\", alpha=\"0.13\", expect_size=\"24187904\"] \n  42 [size=\"146169173\", alpha=\"0.12\", expect_size=\"43850752\"] \n  43 [size=\"28443307\", alpha=\"0.02\", expect_size=\"8532992\"] \n  44 [size=\"52111360\", alpha=\"0.16\", expect_size=\"15633408\"] \n  45 [size=\"98976427\", alpha=\"0.04\", expect_size=\"29692928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39168000\", alpha=\"0.11\", expect_size=\"19584000\"] \n  1 -> 29 [size =\"19584000\"]\n  1 -> 35 [size =\"19584000\"]\n  1 -> 40 [size =\"19584000\"]\n  1 -> 42 [size =\"19584000\"]\n  1 -> 43 [size =\"19584000\"]\n  1 -> 44 [size =\"19584000\"]\n  1 -> 45 [size =\"19584000\"]\n  2 [size=\"104431616\", alpha=\"0.11\", expect_size=\"52215808\"] \n  2 -> 29 [size =\"52215808\"]\n  2 -> 33 [size =\"52215808\"]\n  2 -> 35 [size =\"52215808\"]\n  2 -> 36 [size =\"52215808\"]\n  2 -> 42 [size =\"52215808\"]\n  2 -> 45 [size =\"52215808\"]\n  3 [size=\"89880576\", alpha=\"0.12\", expect_size=\"44940288\"] \n  3 -> 28 [size =\"44940288\"]\n  3 -> 29 [size =\"44940288\"]\n  3 -> 33 [size =\"44940288\"]\n  3 -> 35 [size =\"44940288\"]\n  3 -> 36 [size =\"44940288\"]\n  3 -> 40 [size =\"44940288\"]\n  3 -> 41 [size =\"44940288\"]\n  3 -> 43 [size =\"44940288\"]\n  3 -> 44 [size =\"44940288\"]\n  3 -> 45 [size =\"44940288\"]\n  4 [size=\"76832768\", alpha=\"0.14\", expect_size=\"38416384\"] \n  4 -> 33 [size =\"38416384\"]\n  4 -> 35 [size =\"38416384\"]\n  4 -> 36 [size =\"38416384\"]\n  4 -> 40 [size =\"38416384\"]\n  4 -> 42 [size =\"38416384\"]\n  4 -> 43 [size =\"38416384\"]\n  4 -> 44 [size =\"38416384\"]\n  4 -> 45 [size =\"38416384\"]\n  5 [size=\"97212416\", alpha=\"0.01\", expect_size=\"48606208\"] \n  5 -> 32 [size =\"48606208\"]\n  5 -> 35 [size =\"48606208\"]\n  5 -> 36 [size =\"48606208\"]\n  5 -> 40 [size =\"48606208\"]\n  5 -> 42 [size =\"48606208\"]\n  5 -> 43 [size =\"48606208\"]\n  5 -> 44 [size =\"48606208\"]\n  6 [size=\"102612992\", alpha=\"0.13\", expect_size=\"51306496\"] \n  6 -> 29 [size =\"51306496\"]\n  6 -> 30 [size =\"51306496\"]\n  6 -> 32 [size =\"51306496\"]\n  6 -> 33 [size =\"51306496\"]\n  6 -> 35 [size =\"51306496\"]\n  6 -> 36 [size =\"51306496\"]\n  6 -> 40 [size =\"51306496\"]\n  6 -> 42 [size =\"51306496\"]\n  6 -> 44 [size =\"51306496\"]\n  6 -> 45 [size =\"51306496\"]\n  7 [size=\"22550528\", alpha=\"0.16\", expect_size=\"11275264\"] \n  7 -> 28 [size =\"11275264\"]\n  7 -> 29 [size =\"11275264\"]\n  7 -> 34 [size =\"11275264\"]\n  7 -> 35 [size =\"11275264\"]\n  7 -> 35 [size =\"11275264\"]\n  7 -> 40 [size =\"11275264\"]\n  7 -> 42 [size =\"11275264\"]\n  7 -> 42 [size =\"11275264\"]\n  7 -> 43 [size =\"11275264\"]\n  7 -> 45 [size =\"11275264\"]\n  8 [size=\"98494464\", alpha=\"0.02\", expect_size=\"49247232\"] \n  8 -> 30 [size =\"49247232\"]\n  8 -> 32 [size =\"49247232\"]\n  8 -> 40 [size =\"49247232\"]\n  8 -> 42 [size =\"49247232\"]\n  8 -> 43 [size =\"49247232\"]\n  8 -> 45 [size =\"49247232\"]\n  9 [size=\"35620864\", alpha=\"0.19\", expect_size=\"17810432\"] \n  9 -> 28 [size =\"17810432\"]\n  9 -> 32 [size =\"17810432\"]\n  9 -> 35 [size =\"17810432\"]\n  9 -> 36 [size =\"17810432\"]\n  9 -> 37 [size =\"17810432\"]\n  9 -> 40 [size =\"17810432\"]\n  9 -> 45 [size =\"17810432\"]\n  10 [size=\"11147264\", alpha=\"0.19\", expect_size=\"5573632\"] \n  10 -> 28 [size =\"5573632\"]\n  10 -> 32 [size =\"5573632\"]\n  10 -> 33 [size =\"5573632\"]\n  10 -> 37 [size =\"5573632\"]\n  10 -> 40 [size =\"5573632\"]\n  10 -> 45 [size =\"5573632\"]\n  11 [size=\"30668800\", alpha=\"0.12\", expect_size=\"15334400\"] \n  11 -> 28 [size =\"15334400\"]\n  11 -> 30 [size =\"15334400\"]\n  11 -> 32 [size =\"15334400\"]\n  11 -> 33 [size =\"15334400\"]\n  11 -> 34 [size =\"15334400\"]\n  11 -> 36 [size =\"15334400\"]\n  11 -> 42 [size =\"15334400\"]\n  12 [size=\"82837504\", alpha=\"0.14\", expect_size=\"41418752\"] \n  12 -> 28 [size =\"41418752\"]\n  12 -> 29 [size =\"41418752\"]\n  12 -> 30 [size =\"41418752\"]\n  12 -> 32 [size =\"41418752\"]\n  12 -> 33 [size =\"41418752\"]\n  12 -> 36 [size =\"41418752\"]\n  12 -> 44 [size =\"41418752\"]\n  13 [size=\"39849984\", alpha=\"0.02\", expect_size=\"19924992\"] \n  13 -> 28 [size =\"19924992\"]\n  13 -> 32 [size =\"19924992\"]\n  13 -> 33 [size =\"19924992\"]\n  13 -> 35 [size =\"19924992\"]\n  13 -> 36 [size =\"19924992\"]\n  13 -> 36 [size =\"19924992\"]\n  13 -> 37 [size =\"19924992\"]\n  13 -> 44 [size =\"19924992\"]\n  14 [size=\"95131648\", alpha=\"0.16\", expect_size=\"47565824\"] \n  14 -> 28 [size =\"47565824\"]\n  14 -> 31 [size =\"47565824\"]\n  14 -> 32 [size =\"47565824\"]\n  14 -> 36 [size =\"47565824\"]\n  14 -> 39 [size =\"47565824\"]\n  14 -> 40 [size =\"47565824\"]\n  14 -> 43 [size =\"47565824\"]\n  15 [size=\"67428352\", alpha=\"0.17\", expect_size=\"33714176\"] \n  15 -> 28 [size =\"33714176\"]\n  15 -> 32 [size =\"33714176\"]\n  15 -> 33 [size =\"33714176\"]\n  15 -> 35 [size =\"33714176\"]\n  15 -> 42 [size =\"33714176\"]\n  15 -> 45 [size =\"33714176\"]\n  16 [size=\"72075264\", alpha=\"0.10\", expect_size=\"36037632\"] \n  16 -> 29 [size =\"36037632\"]\n  16 -> 30 [size =\"36037632\"]\n  16 -> 33 [size =\"36037632\"]\n  16 -> 45 [size =\"36037632\"]\n  17 [size=\"38463488\", alpha=\"0.04\", expect_size=\"19231744\"] \n  17 -> 28 [size =\"19231744\"]\n  17 -> 30 [size =\"19231744\"]\n  17 -> 32 [size =\"19231744\"]\n  17 -> 40 [size =\"19231744\"]\n  17 -> 44 [size =\"19231744\"]\n  17 -> 45 [size =\"19231744\"]\n  18 [size=\"21616640\", alpha=\"0.00\", expect_size=\"10808320\"] \n  18 -> 28 [size =\"10808320\"]\n  18 -> 30 [size =\"10808320\"]\n  18 -> 32 [size =\"10808320\"]\n  18 -> 35 [size =\"10808320\"]\n  18 -> 36 [size =\"10808320\"]\n  18 -> 37 [size =\"10808320\"]\n  18 -> 40 [size =\"10808320\"]\n  18 -> 44 [size =\"10808320\"]\n  19 [size=\"30035968\", alpha=\"0.04\", expect_size=\"15017984\"] \n  19 -> 30 [size =\"15017984\"]\n  19 -> 30 [size =\"15017984\"]\n  19 -> 32 [size =\"15017984\"]\n  19 -> 33 [size =\"15017984\"]\n  19 -> 34 [size =\"15017984\"]\n  19 -> 35 [size =\"15017984\"]\n  19 -> 36 [size =\"15017984\"]\n  19 -> 37 [size =\"15017984\"]\n  19 -> 43 [size =\"15017984\"]\n  20 [size=\"24242176\", alpha=\"0.01\", expect_size=\"12121088\"] \n  20 -> 30 [size =\"12121088\"]\n  20 -> 32 [size =\"12121088\"]\n  20 -> 36 [size =\"12121088\"]\n  20 -> 40 [size =\"12121088\"]\n  20 -> 43 [size =\"12121088\"]\n  20 -> 44 [size =\"12121088\"]\n  20 -> 45 [size =\"12121088\"]\n  21 [size=\"20551680\", alpha=\"0.05\", expect_size=\"10275840\"] \n  21 -> 28 [size =\"10275840\"]\n  21 -> 32 [size =\"10275840\"]\n  21 -> 35 [size =\"10275840\"]\n  21 -> 36 [size =\"10275840\"]\n  21 -> 40 [size =\"10275840\"]\n  21 -> 45 [size =\"10275840\"]\n  21 -> 45 [size =\"10275840\"]\n  22 [size=\"78344192\", alpha=\"0.09\", expect_size=\"39172096\"] \n  22 -> 29 [size =\"39172096\"]\n  22 -> 30 [size =\"39172096\"]\n  22 -> 31 [size =\"39172096\"]\n  22 -> 32 [size =\"39172096\"]\n  22 -> 40 [size =\"39172096\"]\n  22 -> 41 [size =\"39172096\"]\n  22 -> 45 [size =\"39172096\"]\n  23 [size=\"49856512\", alpha=\"0.09\", expect_size=\"24928256\"] \n  23 -> 30 [size =\"24928256\"]\n  23 -> 32 [size =\"24928256\"]\n  23 -> 33 [size =\"24928256\"]\n  23 -> 36 [size =\"24928256\"]\n  23 -> 37 [size =\"24928256\"]\n  23 -> 38 [size =\"24928256\"]\n  23 -> 41 [size =\"24928256\"]\n  23 -> 43 [size =\"24928256\"]\n  24 [size=\"59209728\", alpha=\"0.04\", expect_size=\"29604864\"] \n  24 -> 28 [size =\"29604864\"]\n  24 -> 30 [size =\"29604864\"]\n  24 -> 31 [size =\"29604864\"]\n  24 -> 33 [size =\"29604864\"]\n  24 -> 35 [size =\"29604864\"]\n  24 -> 36 [size =\"29604864\"]\n  24 -> 40 [size =\"29604864\"]\n  24 -> 43 [size =\"29604864\"]\n  24 -> 45 [size =\"29604864\"]\n  25 [size=\"38739968\", alpha=\"0.17\", expect_size=\"19369984\"] \n  25 -> 28 [size =\"19369984\"]\n  25 -> 29 [size =\"19369984\"]\n  25 -> 30 [size =\"19369984\"]\n  25 -> 33 [size =\"19369984\"]\n  25 -> 35 [size =\"19369984\"]\n  25 -> 40 [size =\"19369984\"]\n  25 -> 41 [size =\"19369984\"]\n  25 -> 42 [size =\"19369984\"]\n  25 -> 43 [size =\"19369984\"]\n  26 [size=\"22910976\", alpha=\"0.09\", expect_size=\"11455488\"] \n  26 -> 28 [size =\"11455488\"]\n  26 -> 30 [size =\"11455488\"]\n  26 -> 33 [size =\"11455488\"]\n  26 -> 33 [size =\"11455488\"]\n  26 -> 35 [size =\"11455488\"]\n  26 -> 40 [size =\"11455488\"]\n  26 -> 43 [size =\"11455488\"]\n  26 -> 44 [size =\"11455488\"]\n  27 [size=\"70633472\", alpha=\"0.04\", expect_size=\"35316736\"] \n  27 -> 30 [size =\"35316736\"]\n  27 -> 30 [size =\"35316736\"]\n  27 -> 32 [size =\"35316736\"]\n  27 -> 35 [size =\"35316736\"]\n  27 -> 35 [size =\"35316736\"]\n  27 -> 36 [size =\"35316736\"]\n  27 -> 37 [size =\"35316736\"]\n  27 -> 39 [size =\"35316736\"]\n  27 -> 42 [size =\"35316736\"]\n  27 -> 45 [size =\"35316736\"]\n  28 [size=\"88653824\", alpha=\"0.18\", expect_size=\"44326912\"] \n  29 [size=\"90210304\", alpha=\"0.17\", expect_size=\"45105152\"] \n  30 [size=\"12578816\", alpha=\"0.16\", expect_size=\"6289408\"] \n  31 [size=\"18415616\", alpha=\"0.19\", expect_size=\"9207808\"] \n  32 [size=\"42033152\", alpha=\"0.18\", expect_size=\"21016576\"] \n  33 [size=\"83005440\", alpha=\"0.03\", expect_size=\"41502720\"] \n  34 [size=\"31985664\", alpha=\"0.06\", expect_size=\"15992832\"] \n  35 [size=\"49690624\", alpha=\"0.01\", expect_size=\"24845312\"] \n  36 [size=\"34107392\", alpha=\"0.09\", expect_size=\"17053696\"] \n  37 [size=\"77363200\", alpha=\"0.03\", expect_size=\"38681600\"] \n  38 [size=\"97153024\", alpha=\"0.19\", expect_size=\"48576512\"] \n  39 [size=\"87111680\", alpha=\"0.20\", expect_size=\"43555840\"] \n  40 [size=\"72380416\", alpha=\"0.03\", expect_size=\"36190208\"] \n  41 [size=\"53620736\", alpha=\"0.09\", expect_size=\"26810368\"] \n  42 [size=\"51015680\", alpha=\"0.09\", expect_size=\"25507840\"] \n  43 [size=\"42549248\", alpha=\"0.17\", expect_size=\"21274624\"] \n  44 [size=\"57587712\", alpha=\"0.16\", expect_size=\"28793856\"] \n  45 [size=\"86401024\", alpha=\"0.00\", expect_size=\"43200512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49004544\", alpha=\"0.18\", expect_size=\"24502272\"] \n  1 -> 39 [size =\"24502272\"]\n  1 -> 44 [size =\"24502272\"]\n  1 -> 45 [size =\"24502272\"]\n  2 [size=\"51625984\", alpha=\"0.13\", expect_size=\"25812992\"] \n  2 -> 39 [size =\"25812992\"]\n  2 -> 42 [size =\"25812992\"]\n  2 -> 45 [size =\"25812992\"]\n  3 [size=\"53039104\", alpha=\"0.02\", expect_size=\"26519552\"] \n  3 -> 39 [size =\"26519552\"]\n  3 -> 43 [size =\"26519552\"]\n  3 -> 45 [size =\"26519552\"]\n  4 [size=\"12865536\", alpha=\"0.06\", expect_size=\"6432768\"] \n  4 -> 39 [size =\"6432768\"]\n  4 -> 42 [size =\"6432768\"]\n  4 -> 43 [size =\"6432768\"]\n  4 -> 44 [size =\"6432768\"]\n  4 -> 45 [size =\"6432768\"]\n  5 [size=\"48259072\", alpha=\"0.08\", expect_size=\"24129536\"] \n  5 -> 39 [size =\"24129536\"]\n  5 -> 40 [size =\"24129536\"]\n  5 -> 41 [size =\"24129536\"]\n  5 -> 44 [size =\"24129536\"]\n  5 -> 45 [size =\"24129536\"]\n  6 [size=\"57894912\", alpha=\"0.09\", expect_size=\"28947456\"] \n  6 -> 39 [size =\"28947456\"]\n  6 -> 40 [size =\"28947456\"]\n  6 -> 45 [size =\"28947456\"]\n  7 [size=\"83113984\", alpha=\"0.04\", expect_size=\"41556992\"] \n  7 -> 38 [size =\"41556992\"]\n  7 -> 39 [size =\"41556992\"]\n  7 -> 41 [size =\"41556992\"]\n  7 -> 42 [size =\"41556992\"]\n  7 -> 45 [size =\"41556992\"]\n  8 [size=\"73816064\", alpha=\"0.11\", expect_size=\"36908032\"] \n  8 -> 39 [size =\"36908032\"]\n  8 -> 44 [size =\"36908032\"]\n  8 -> 45 [size =\"36908032\"]\n  9 [size=\"27574272\", alpha=\"0.12\", expect_size=\"13787136\"] \n  9 -> 38 [size =\"13787136\"]\n  9 -> 40 [size =\"13787136\"]\n  9 -> 43 [size =\"13787136\"]\n  9 -> 44 [size =\"13787136\"]\n  9 -> 45 [size =\"13787136\"]\n  10 [size=\"69801984\", alpha=\"0.07\", expect_size=\"34900992\"] \n  10 -> 42 [size =\"34900992\"]\n  10 -> 45 [size =\"34900992\"]\n  11 [size=\"72749056\", alpha=\"0.03\", expect_size=\"36374528\"] \n  11 -> 40 [size =\"36374528\"]\n  11 -> 42 [size =\"36374528\"]\n  11 -> 45 [size =\"36374528\"]\n  12 [size=\"65064960\", alpha=\"0.09\", expect_size=\"32532480\"] \n  12 -> 42 [size =\"32532480\"]\n  12 -> 45 [size =\"32532480\"]\n  12 -> 45 [size =\"32532480\"]\n  13 [size=\"30302208\", alpha=\"0.00\", expect_size=\"15151104\"] \n  13 -> 39 [size =\"15151104\"]\n  13 -> 42 [size =\"15151104\"]\n  13 -> 45 [size =\"15151104\"]\n  14 [size=\"39839744\", alpha=\"0.10\", expect_size=\"19919872\"] \n  14 -> 39 [size =\"19919872\"]\n  14 -> 42 [size =\"19919872\"]\n  14 -> 44 [size =\"19919872\"]\n  14 -> 45 [size =\"19919872\"]\n  15 [size=\"68663296\", alpha=\"0.09\", expect_size=\"34331648\"] \n  15 -> 39 [size =\"34331648\"]\n  15 -> 40 [size =\"34331648\"]\n  15 -> 42 [size =\"34331648\"]\n  15 -> 45 [size =\"34331648\"]\n  16 [size=\"12681216\", alpha=\"0.00\", expect_size=\"6340608\"] \n  16 -> 39 [size =\"6340608\"]\n  16 -> 40 [size =\"6340608\"]\n  16 -> 42 [size =\"6340608\"]\n  16 -> 44 [size =\"6340608\"]\n  16 -> 45 [size =\"6340608\"]\n  17 [size=\"56143872\", alpha=\"0.06\", expect_size=\"28071936\"] \n  17 -> 39 [size =\"28071936\"]\n  17 -> 40 [size =\"28071936\"]\n  17 -> 41 [size =\"28071936\"]\n  17 -> 42 [size =\"28071936\"]\n  17 -> 45 [size =\"28071936\"]\n  18 [size=\"76773376\", alpha=\"0.01\", expect_size=\"38386688\"] \n  18 -> 39 [size =\"38386688\"]\n  18 -> 40 [size =\"38386688\"]\n  18 -> 42 [size =\"38386688\"]\n  18 -> 42 [size =\"38386688\"]\n  18 -> 45 [size =\"38386688\"]\n  19 [size=\"33124352\", alpha=\"0.02\", expect_size=\"16562176\"] \n  19 -> 39 [size =\"16562176\"]\n  19 -> 40 [size =\"16562176\"]\n  19 -> 42 [size =\"16562176\"]\n  19 -> 45 [size =\"16562176\"]\n  19 -> 45 [size =\"16562176\"]\n  20 [size=\"90796032\", alpha=\"0.04\", expect_size=\"45398016\"] \n  20 -> 39 [size =\"45398016\"]\n  20 -> 40 [size =\"45398016\"]\n  20 -> 42 [size =\"45398016\"]\n  20 -> 43 [size =\"45398016\"]\n  21 [size=\"29222912\", alpha=\"0.15\", expect_size=\"14611456\"] \n  21 -> 38 [size =\"14611456\"]\n  21 -> 39 [size =\"14611456\"]\n  21 -> 40 [size =\"14611456\"]\n  21 -> 42 [size =\"14611456\"]\n  21 -> 44 [size =\"14611456\"]\n  22 [size=\"42082304\", alpha=\"0.14\", expect_size=\"21041152\"] \n  22 -> 38 [size =\"21041152\"]\n  22 -> 39 [size =\"21041152\"]\n  22 -> 40 [size =\"21041152\"]\n  22 -> 42 [size =\"21041152\"]\n  23 [size=\"83656704\", alpha=\"0.02\", expect_size=\"41828352\"] \n  23 -> 40 [size =\"41828352\"]\n  23 -> 42 [size =\"41828352\"]\n  23 -> 44 [size =\"41828352\"]\n  24 [size=\"84305920\", alpha=\"0.10\", expect_size=\"42152960\"] \n  24 -> 39 [size =\"42152960\"]\n  24 -> 40 [size =\"42152960\"]\n  24 -> 42 [size =\"42152960\"]\n  24 -> 45 [size =\"42152960\"]\n  25 [size=\"36077568\", alpha=\"0.07\", expect_size=\"18038784\"] \n  25 -> 39 [size =\"18038784\"]\n  25 -> 40 [size =\"18038784\"]\n  25 -> 42 [size =\"18038784\"]\n  25 -> 44 [size =\"18038784\"]\n  25 -> 45 [size =\"18038784\"]\n  26 [size=\"78755840\", alpha=\"0.14\", expect_size=\"39377920\"] \n  26 -> 39 [size =\"39377920\"]\n  26 -> 42 [size =\"39377920\"]\n  26 -> 42 [size =\"39377920\"]\n  26 -> 44 [size =\"39377920\"]\n  26 -> 45 [size =\"39377920\"]\n  27 [size=\"79364096\", alpha=\"0.16\", expect_size=\"39682048\"] \n  27 -> 39 [size =\"39682048\"]\n  27 -> 40 [size =\"39682048\"]\n  27 -> 44 [size =\"39682048\"]\n  27 -> 44 [size =\"39682048\"]\n  27 -> 45 [size =\"39682048\"]\n  28 [size=\"12724224\", alpha=\"0.11\", expect_size=\"6362112\"] \n  28 -> 40 [size =\"6362112\"]\n  28 -> 40 [size =\"6362112\"]\n  28 -> 41 [size =\"6362112\"]\n  28 -> 44 [size =\"6362112\"]\n  28 -> 45 [size =\"6362112\"]\n  29 [size=\"19478528\", alpha=\"0.10\", expect_size=\"9739264\"] \n  29 -> 40 [size =\"9739264\"]\n  29 -> 44 [size =\"9739264\"]\n  29 -> 45 [size =\"9739264\"]\n  30 [size=\"30398464\", alpha=\"0.02\", expect_size=\"15199232\"] \n  30 -> 40 [size =\"15199232\"]\n  30 -> 45 [size =\"15199232\"]\n  30 -> 45 [size =\"15199232\"]\n  31 [size=\"51494912\", alpha=\"0.07\", expect_size=\"25747456\"] \n  31 -> 39 [size =\"25747456\"]\n  31 -> 40 [size =\"25747456\"]\n  31 -> 42 [size =\"25747456\"]\n  31 -> 44 [size =\"25747456\"]\n  32 [size=\"26920960\", alpha=\"0.03\", expect_size=\"13460480\"] \n  32 -> 39 [size =\"13460480\"]\n  32 -> 44 [size =\"13460480\"]\n  32 -> 45 [size =\"13460480\"]\n  33 [size=\"92188672\", alpha=\"0.04\", expect_size=\"46094336\"] \n  33 -> 39 [size =\"46094336\"]\n  33 -> 44 [size =\"46094336\"]\n  33 -> 45 [size =\"46094336\"]\n  34 [size=\"101107712\", alpha=\"0.10\", expect_size=\"50553856\"] \n  34 -> 40 [size =\"50553856\"]\n  34 -> 45 [size =\"50553856\"]\n  35 [size=\"56057856\", alpha=\"0.09\", expect_size=\"28028928\"] \n  35 -> 38 [size =\"28028928\"]\n  35 -> 39 [size =\"28028928\"]\n  35 -> 42 [size =\"28028928\"]\n  36 [size=\"89186304\", alpha=\"0.09\", expect_size=\"44593152\"] \n  36 -> 38 [size =\"44593152\"]\n  36 -> 42 [size =\"44593152\"]\n  36 -> 42 [size =\"44593152\"]\n  36 -> 44 [size =\"44593152\"]\n  37 [size=\"59158528\", alpha=\"0.18\", expect_size=\"29579264\"] \n  37 -> 39 [size =\"29579264\"]\n  37 -> 45 [size =\"29579264\"]\n  38 [size=\"38606848\", alpha=\"0.02\", expect_size=\"19303424\"] \n  39 [size=\"90857472\", alpha=\"0.10\", expect_size=\"45428736\"] \n  40 [size=\"44261376\", alpha=\"0.15\", expect_size=\"22130688\"] \n  41 [size=\"52502528\", alpha=\"0.04\", expect_size=\"26251264\"] \n  42 [size=\"83476480\", alpha=\"0.20\", expect_size=\"41738240\"] \n  43 [size=\"97392640\", alpha=\"0.11\", expect_size=\"48696320\"] \n  44 [size=\"19695616\", alpha=\"0.18\", expect_size=\"9847808\"] \n  45 [size=\"68483072\", alpha=\"0.11\", expect_size=\"34241536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38328320\", alpha=\"0.08\", expect_size=\"19164160\"] \n  2 [size=\"23363584\", alpha=\"0.05\", expect_size=\"11681792\"] \n  2 -> 4 [size =\"11681792\"]\n  2 -> 5 [size =\"11681792\"]\n  2 -> 6 [size =\"11681792\"]\n  3 [size=\"11417600\", alpha=\"0.19\", expect_size=\"5708800\"] \n  3 -> 4 [size =\"5708800\"]\n  3 -> 6 [size =\"5708800\"]\n  4 [size=\"39901184\", alpha=\"0.17\", expect_size=\"19950592\"] \n  4 -> 7 [size =\"19950592\"]\n  4 -> 8 [size =\"19950592\"]\n  5 [size=\"35661824\", alpha=\"0.17\", expect_size=\"17830912\"] \n  5 -> 7 [size =\"17830912\"]\n  6 [size=\"76343296\", alpha=\"0.05\", expect_size=\"38171648\"] \n  6 -> 7 [size =\"38171648\"]\n  7 [size=\"31870976\", alpha=\"0.16\", expect_size=\"15935488\"] \n  7 -> 9 [size =\"15935488\"]\n  7 -> 10 [size =\"15935488\"]\n  8 [size=\"54380544\", alpha=\"0.03\", expect_size=\"27190272\"] \n  9 [size=\"81565696\", alpha=\"0.11\", expect_size=\"40782848\"] \n  9 -> 13 [size =\"40782848\"]\n  10 [size=\"23681024\", alpha=\"0.12\", expect_size=\"11840512\"] \n  10 -> 11 [size =\"11840512\"]\n  10 -> 12 [size =\"11840512\"]\n  11 [size=\"65740800\", alpha=\"0.11\", expect_size=\"32870400\"] \n  11 -> 15 [size =\"32870400\"]\n  12 [size=\"103698432\", alpha=\"0.09\", expect_size=\"51849216\"] \n  12 -> 14 [size =\"51849216\"]\n  13 [size=\"32432128\", alpha=\"0.02\", expect_size=\"16216064\"] \n  13 -> 15 [size =\"16216064\"]\n  14 [size=\"27252736\", alpha=\"0.17\", expect_size=\"13626368\"] \n  14 -> 17 [size =\"13626368\"]\n  15 [size=\"13332480\", alpha=\"0.10\", expect_size=\"6666240\"] \n  15 -> 16 [size =\"6666240\"]\n  15 -> 17 [size =\"6666240\"]\n  15 -> 18 [size =\"6666240\"]\n  16 [size=\"95369216\", alpha=\"0.19\", expect_size=\"47684608\"] \n  16 -> 20 [size =\"47684608\"]\n  17 [size=\"24690688\", alpha=\"0.02\", expect_size=\"12345344\"] \n  17 -> 20 [size =\"12345344\"]\n  18 [size=\"101914624\", alpha=\"0.08\", expect_size=\"50957312\"] \n  18 -> 19 [size =\"50957312\"]\n  18 -> 21 [size =\"50957312\"]\n  19 [size=\"23965696\", alpha=\"0.12\", expect_size=\"11982848\"] \n  19 -> 24 [size =\"11982848\"]\n  20 [size=\"77369344\", alpha=\"0.12\", expect_size=\"38684672\"] \n  20 -> 22 [size =\"38684672\"]\n  20 -> 23 [size =\"38684672\"]\n  21 [size=\"40304640\", alpha=\"0.17\", expect_size=\"20152320\"] \n  22 [size=\"90742784\", alpha=\"0.06\", expect_size=\"45371392\"] \n  22 -> 25 [size =\"45371392\"]\n  23 [size=\"40118272\", alpha=\"0.14\", expect_size=\"20059136\"] \n  24 [size=\"47992832\", alpha=\"0.09\", expect_size=\"23996416\"] \n  24 -> 26 [size =\"23996416\"]\n  25 [size=\"35057664\", alpha=\"0.09\", expect_size=\"17528832\"] \n  25 -> 27 [size =\"17528832\"]\n  25 -> 28 [size =\"17528832\"]\n  26 [size=\"82671616\", alpha=\"0.03\", expect_size=\"41335808\"] \n  26 -> 27 [size =\"41335808\"]\n  27 [size=\"76845056\", alpha=\"0.02\", expect_size=\"38422528\"] \n  28 [size=\"86284288\", alpha=\"0.10\", expect_size=\"43142144\"] \n  28 -> 29 [size =\"43142144\"]\n  28 -> 30 [size =\"43142144\"]\n  29 [size=\"28624896\", alpha=\"0.13\", expect_size=\"14312448\"] \n  29 -> 31 [size =\"14312448\"]\n  30 [size=\"84811776\", alpha=\"0.18\", expect_size=\"42405888\"] \n  30 -> 31 [size =\"42405888\"]\n  30 -> 32 [size =\"42405888\"]\n  31 [size=\"45287424\", alpha=\"0.16\", expect_size=\"22643712\"] \n  31 -> 35 [size =\"22643712\"]\n  32 [size=\"32272384\", alpha=\"0.13\", expect_size=\"16136192\"] \n  32 -> 33 [size =\"16136192\"]\n  32 -> 34 [size =\"16136192\"]\n  32 -> 35 [size =\"16136192\"]\n  33 [size=\"58638336\", alpha=\"0.15\", expect_size=\"29319168\"] \n  33 -> 37 [size =\"29319168\"]\n  34 [size=\"30953472\", alpha=\"0.00\", expect_size=\"15476736\"] \n  34 -> 36 [size =\"15476736\"]\n  35 [size=\"73000960\", alpha=\"0.06\", expect_size=\"36500480\"] \n  36 [size=\"21215232\", alpha=\"0.10\", expect_size=\"10607616\"] \n  36 -> 39 [size =\"10607616\"]\n  37 [size=\"35829760\", alpha=\"0.17\", expect_size=\"17914880\"] \n  37 -> 38 [size =\"17914880\"]\n  37 -> 39 [size =\"17914880\"]\n  38 [size=\"43855872\", alpha=\"0.04\", expect_size=\"21927936\"] \n  38 -> 40 [size =\"21927936\"]\n  38 -> 41 [size =\"21927936\"]\n  38 -> 42 [size =\"21927936\"]\n  39 [size=\"89188352\", alpha=\"0.13\", expect_size=\"44594176\"] \n  39 -> 40 [size =\"44594176\"]\n  40 [size=\"54163456\", alpha=\"0.17\", expect_size=\"27081728\"] \n  41 [size=\"46352384\", alpha=\"0.06\", expect_size=\"23176192\"] \n  41 -> 43 [size =\"23176192\"]\n  41 -> 44 [size =\"23176192\"]\n  42 [size=\"26636288\", alpha=\"0.13\", expect_size=\"13318144\"] \n  43 [size=\"88231936\", alpha=\"0.06\", expect_size=\"44115968\"] \n  43 -> 45 [size =\"44115968\"]\n  44 [size=\"64339968\", alpha=\"0.07\", expect_size=\"32169984\"] \n  44 -> 45 [size =\"32169984\"]\n  45 [size=\"66101248\", alpha=\"0.13\", expect_size=\"33050624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86469120\", alpha=\"0.10\", expect_size=\"34587648\"] \n  1 -> 3 [size =\"34587648\"]\n  1 -> 4 [size =\"34587648\"]\n  1 -> 5 [size =\"34587648\"]\n  2 [size=\"18634240\", alpha=\"0.04\", expect_size=\"7453696\"] \n  2 -> 3 [size =\"7453696\"]\n  3 [size=\"69171200\", alpha=\"0.07\", expect_size=\"27668480\"] \n  3 -> 6 [size =\"27668480\"]\n  4 [size=\"13821440\", alpha=\"0.02\", expect_size=\"5528576\"] \n  4 -> 8 [size =\"5528576\"]\n  5 [size=\"34455040\", alpha=\"0.14\", expect_size=\"13782016\"] \n  5 -> 6 [size =\"13782016\"]\n  5 -> 7 [size =\"13782016\"]\n  5 -> 8 [size =\"13782016\"]\n  6 [size=\"43304960\", alpha=\"0.01\", expect_size=\"17321984\"] \n  6 -> 9 [size =\"17321984\"]\n  6 -> 10 [size =\"17321984\"]\n  7 [size=\"14440960\", alpha=\"0.14\", expect_size=\"5776384\"] \n  8 [size=\"63193600\", alpha=\"0.18\", expect_size=\"25277440\"] \n  9 [size=\"74644480\", alpha=\"0.16\", expect_size=\"29857792\"] \n  9 -> 13 [size =\"29857792\"]\n  10 [size=\"111608320\", alpha=\"0.07\", expect_size=\"44643328\"] \n  10 -> 11 [size =\"44643328\"]\n  10 -> 12 [size =\"44643328\"]\n  10 -> 13 [size =\"44643328\"]\n  11 [size=\"92823040\", alpha=\"0.18\", expect_size=\"37129216\"] \n  11 -> 15 [size =\"37129216\"]\n  12 [size=\"36272640\", alpha=\"0.02\", expect_size=\"14509056\"] \n  12 -> 14 [size =\"14509056\"]\n  13 [size=\"61667840\", alpha=\"0.03\", expect_size=\"24667136\"] \n  14 [size=\"102794240\", alpha=\"0.11\", expect_size=\"41117696\"] \n  14 -> 16 [size =\"41117696\"]\n  14 -> 17 [size =\"41117696\"]\n  15 [size=\"114396160\", alpha=\"0.13\", expect_size=\"45758464\"] \n  15 -> 16 [size =\"45758464\"]\n  15 -> 18 [size =\"45758464\"]\n  16 [size=\"81548800\", alpha=\"0.08\", expect_size=\"32619520\"] \n  16 -> 19 [size =\"32619520\"]\n  16 -> 20 [size =\"32619520\"]\n  17 [size=\"86970880\", alpha=\"0.19\", expect_size=\"34788352\"] \n  17 -> 21 [size =\"34788352\"]\n  18 [size=\"54528000\", alpha=\"0.13\", expect_size=\"21811200\"] \n  18 -> 19 [size =\"21811200\"]\n  18 -> 20 [size =\"21811200\"]\n  18 -> 21 [size =\"21811200\"]\n  19 [size=\"43328000\", alpha=\"0.08\", expect_size=\"17331200\"] \n  19 -> 24 [size =\"17331200\"]\n  20 [size=\"17423360\", alpha=\"0.06\", expect_size=\"6969344\"] \n  20 -> 22 [size =\"6969344\"]\n  20 -> 23 [size =\"6969344\"]\n  20 -> 24 [size =\"6969344\"]\n  21 [size=\"58726400\", alpha=\"0.16\", expect_size=\"23490560\"] \n  21 -> 22 [size =\"23490560\"]\n  21 -> 23 [size =\"23490560\"]\n  22 [size=\"49461760\", alpha=\"0.07\", expect_size=\"19784704\"] \n  22 -> 25 [size =\"19784704\"]\n  23 [size=\"60280320\", alpha=\"0.08\", expect_size=\"24112128\"] \n  23 -> 26 [size =\"24112128\"]\n  24 [size=\"75555840\", alpha=\"0.08\", expect_size=\"30222336\"] \n  25 [size=\"20643840\", alpha=\"0.13\", expect_size=\"8257536\"] \n  25 -> 27 [size =\"8257536\"]\n  26 [size=\"94653440\", alpha=\"0.02\", expect_size=\"37861376\"] \n  26 -> 27 [size =\"37861376\"]\n  26 -> 28 [size =\"37861376\"]\n  27 [size=\"21532160\", alpha=\"0.12\", expect_size=\"8612864\"] \n  27 -> 29 [size =\"8612864\"]\n  28 [size=\"15749120\", alpha=\"0.10\", expect_size=\"6299648\"] \n  28 -> 29 [size =\"6299648\"]\n  28 -> 30 [size =\"6299648\"]\n  29 [size=\"94609920\", alpha=\"0.18\", expect_size=\"37843968\"] \n  29 -> 31 [size =\"37843968\"]\n  29 -> 32 [size =\"37843968\"]\n  30 [size=\"24765440\", alpha=\"0.04\", expect_size=\"9906176\"] \n  30 -> 31 [size =\"9906176\"]\n  31 [size=\"59220480\", alpha=\"0.02\", expect_size=\"23688192\"] \n  31 -> 34 [size =\"23688192\"]\n  32 [size=\"35407360\", alpha=\"0.05\", expect_size=\"14162944\"] \n  32 -> 33 [size =\"14162944\"]\n  33 [size=\"76812800\", alpha=\"0.16\", expect_size=\"30725120\"] \n  33 -> 36 [size =\"30725120\"]\n  33 -> 37 [size =\"30725120\"]\n  34 [size=\"121543680\", alpha=\"0.02\", expect_size=\"48617472\"] \n  34 -> 35 [size =\"48617472\"]\n  34 -> 37 [size =\"48617472\"]\n  35 [size=\"52349440\", alpha=\"0.06\", expect_size=\"20939776\"] \n  35 -> 39 [size =\"20939776\"]\n  36 [size=\"126510080\", alpha=\"0.01\", expect_size=\"50604032\"] \n  36 -> 38 [size =\"50604032\"]\n  37 [size=\"20326400\", alpha=\"0.08\", expect_size=\"8130560\"] \n  37 -> 38 [size =\"8130560\"]\n  38 [size=\"89029120\", alpha=\"0.02\", expect_size=\"35611648\"] \n  38 -> 41 [size =\"35611648\"]\n  39 [size=\"28815360\", alpha=\"0.02\", expect_size=\"11526144\"] \n  39 -> 40 [size =\"11526144\"]\n  39 -> 41 [size =\"11526144\"]\n  40 [size=\"19184640\", alpha=\"0.02\", expect_size=\"7673856\"] \n  40 -> 42 [size =\"7673856\"]\n  40 -> 43 [size =\"7673856\"]\n  40 -> 44 [size =\"7673856\"]\n  41 [size=\"40675840\", alpha=\"0.10\", expect_size=\"16270336\"] \n  41 -> 42 [size =\"16270336\"]\n  41 -> 43 [size =\"16270336\"]\n  42 [size=\"55037440\", alpha=\"0.05\", expect_size=\"22014976\"] \n  42 -> 45 [size =\"22014976\"]\n  43 [size=\"85440000\", alpha=\"0.07\", expect_size=\"34176000\"] \n  43 -> 45 [size =\"34176000\"]\n  44 [size=\"62479360\", alpha=\"0.20\", expect_size=\"24991744\"] \n  45 [size=\"75840000\", alpha=\"0.14\", expect_size=\"30336000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15319040\", alpha=\"0.09\", expect_size=\"6127616\"] \n  1 -> 20 [size =\"6127616\"]\n  1 -> 24 [size =\"6127616\"]\n  1 -> 26 [size =\"6127616\"]\n  1 -> 26 [size =\"6127616\"]\n  2 [size=\"118906880\", alpha=\"0.11\", expect_size=\"47562752\"] \n  2 -> 22 [size =\"47562752\"]\n  3 [size=\"90007040\", alpha=\"0.18\", expect_size=\"36002816\"] \n  3 -> 20 [size =\"36002816\"]\n  3 -> 23 [size =\"36002816\"]\n  3 -> 24 [size =\"36002816\"]\n  4 [size=\"84930560\", alpha=\"0.04\", expect_size=\"33972224\"] \n  4 -> 21 [size =\"33972224\"]\n  4 -> 22 [size =\"33972224\"]\n  5 [size=\"70645760\", alpha=\"0.04\", expect_size=\"28258304\"] \n  5 -> 21 [size =\"28258304\"]\n  6 [size=\"62796800\", alpha=\"0.12\", expect_size=\"25118720\"] \n  6 -> 20 [size =\"25118720\"]\n  6 -> 21 [size =\"25118720\"]\n  6 -> 22 [size =\"25118720\"]\n  6 -> 25 [size =\"25118720\"]\n  7 [size=\"122001920\", alpha=\"0.03\", expect_size=\"48800768\"] \n  7 -> 25 [size =\"48800768\"]\n  8 [size=\"60119040\", alpha=\"0.04\", expect_size=\"24047616\"] \n  8 -> 21 [size =\"24047616\"]\n  8 -> 22 [size =\"24047616\"]\n  8 -> 26 [size =\"24047616\"]\n  9 [size=\"89623040\", alpha=\"0.06\", expect_size=\"35849216\"] \n  9 -> 22 [size =\"35849216\"]\n  9 -> 26 [size =\"35849216\"]\n  10 [size=\"75842560\", alpha=\"0.00\", expect_size=\"30337024\"] \n  11 [size=\"41070080\", alpha=\"0.15\", expect_size=\"16428032\"] \n  11 -> 20 [size =\"16428032\"]\n  12 [size=\"95989760\", alpha=\"0.11\", expect_size=\"38395904\"] \n  13 [size=\"45114880\", alpha=\"0.01\", expect_size=\"18045952\"] \n  13 -> 25 [size =\"18045952\"]\n  14 [size=\"31360000\", alpha=\"0.08\", expect_size=\"12544000\"] \n  14 -> 21 [size =\"12544000\"]\n  14 -> 23 [size =\"12544000\"]\n  14 -> 24 [size =\"12544000\"]\n  15 [size=\"56555520\", alpha=\"0.19\", expect_size=\"22622208\"] \n  15 -> 22 [size =\"22622208\"]\n  15 -> 25 [size =\"22622208\"]\n  16 [size=\"80737280\", alpha=\"0.13\", expect_size=\"32294912\"] \n  16 -> 24 [size =\"32294912\"]\n  16 -> 25 [size =\"32294912\"]\n  17 [size=\"33925120\", alpha=\"0.01\", expect_size=\"13570048\"] \n  17 -> 20 [size =\"13570048\"]\n  17 -> 25 [size =\"13570048\"]\n  18 [size=\"50941440\", alpha=\"0.20\", expect_size=\"20376576\"] \n  18 -> 20 [size =\"20376576\"]\n  18 -> 21 [size =\"20376576\"]\n  18 -> 25 [size =\"20376576\"]\n  19 [size=\"75048960\", alpha=\"0.20\", expect_size=\"30019584\"] \n  19 -> 21 [size =\"30019584\"]\n  19 -> 24 [size =\"30019584\"]\n  19 -> 25 [size =\"30019584\"]\n  19 -> 26 [size =\"30019584\"]\n  20 [size=\"109158400\", alpha=\"0.20\", expect_size=\"43663360\"] \n  20 -> 27 [size =\"43663360\"]\n  20 -> 30 [size =\"43663360\"]\n  20 -> 31 [size =\"43663360\"]\n  20 -> 34 [size =\"43663360\"]\n  20 -> 35 [size =\"43663360\"]\n  20 -> 37 [size =\"43663360\"]\n  20 -> 38 [size =\"43663360\"]\n  20 -> 43 [size =\"43663360\"]\n  21 [size=\"110400000\", alpha=\"0.00\", expect_size=\"44160000\"] \n  21 -> 27 [size =\"44160000\"]\n  21 -> 28 [size =\"44160000\"]\n  21 -> 34 [size =\"44160000\"]\n  21 -> 36 [size =\"44160000\"]\n  21 -> 37 [size =\"44160000\"]\n  21 -> 39 [size =\"44160000\"]\n  21 -> 42 [size =\"44160000\"]\n  21 -> 43 [size =\"44160000\"]\n  22 [size=\"83059200\", alpha=\"0.18\", expect_size=\"33223680\"] \n  22 -> 29 [size =\"33223680\"]\n  22 -> 30 [size =\"33223680\"]\n  22 -> 35 [size =\"33223680\"]\n  22 -> 36 [size =\"33223680\"]\n  22 -> 39 [size =\"33223680\"]\n  22 -> 42 [size =\"33223680\"]\n  22 -> 43 [size =\"33223680\"]\n  23 [size=\"29780480\", alpha=\"0.10\", expect_size=\"11912192\"] \n  23 -> 31 [size =\"11912192\"]\n  23 -> 37 [size =\"11912192\"]\n  23 -> 39 [size =\"11912192\"]\n  23 -> 40 [size =\"11912192\"]\n  23 -> 42 [size =\"11912192\"]\n  24 [size=\"34554880\", alpha=\"0.13\", expect_size=\"13821952\"] \n  24 -> 31 [size =\"13821952\"]\n  24 -> 34 [size =\"13821952\"]\n  24 -> 37 [size =\"13821952\"]\n  24 -> 38 [size =\"13821952\"]\n  24 -> 39 [size =\"13821952\"]\n  24 -> 41 [size =\"13821952\"]\n  24 -> 42 [size =\"13821952\"]\n  25 [size=\"79974400\", alpha=\"0.07\", expect_size=\"31989760\"] \n  25 -> 28 [size =\"31989760\"]\n  25 -> 30 [size =\"31989760\"]\n  25 -> 31 [size =\"31989760\"]\n  25 -> 32 [size =\"31989760\"]\n  25 -> 33 [size =\"31989760\"]\n  25 -> 36 [size =\"31989760\"]\n  25 -> 38 [size =\"31989760\"]\n  25 -> 39 [size =\"31989760\"]\n  25 -> 40 [size =\"31989760\"]\n  26 [size=\"76029440\", alpha=\"0.09\", expect_size=\"30411776\"] \n  26 -> 29 [size =\"30411776\"]\n  26 -> 30 [size =\"30411776\"]\n  26 -> 31 [size =\"30411776\"]\n  26 -> 38 [size =\"30411776\"]\n  26 -> 42 [size =\"30411776\"]\n  27 [size=\"36218880\", alpha=\"0.09\", expect_size=\"14487552\"] \n  27 -> 44 [size =\"14487552\"]\n  28 [size=\"42211840\", alpha=\"0.17\", expect_size=\"16884736\"] \n  29 [size=\"39718400\", alpha=\"0.18\", expect_size=\"15887360\"] \n  30 [size=\"36910080\", alpha=\"0.10\", expect_size=\"14764032\"] \n  30 -> 44 [size =\"14764032\"]\n  30 -> 45 [size =\"14764032\"]\n  31 [size=\"34544640\", alpha=\"0.07\", expect_size=\"13817856\"] \n  31 -> 44 [size =\"13817856\"]\n  31 -> 45 [size =\"13817856\"]\n  32 [size=\"34833920\", alpha=\"0.17\", expect_size=\"13933568\"] \n  32 -> 44 [size =\"13933568\"]\n  32 -> 45 [size =\"13933568\"]\n  33 [size=\"25615360\", alpha=\"0.13\", expect_size=\"10246144\"] \n  33 -> 45 [size =\"10246144\"]\n  34 [size=\"83791360\", alpha=\"0.12\", expect_size=\"33516544\"] \n  34 -> 44 [size =\"33516544\"]\n  35 [size=\"45258240\", alpha=\"0.19\", expect_size=\"18103296\"] \n  35 -> 44 [size =\"18103296\"]\n  36 [size=\"85521920\", alpha=\"0.17\", expect_size=\"34208768\"] \n  36 -> 45 [size =\"34208768\"]\n  37 [size=\"18342400\", alpha=\"0.18\", expect_size=\"7336960\"] \n  37 -> 44 [size =\"7336960\"]\n  37 -> 45 [size =\"7336960\"]\n  38 [size=\"70576640\", alpha=\"0.06\", expect_size=\"28230656\"] \n  39 [size=\"53314560\", alpha=\"0.05\", expect_size=\"21325824\"] \n  40 [size=\"43066880\", alpha=\"0.19\", expect_size=\"17226752\"] \n  41 [size=\"102576640\", alpha=\"0.11\", expect_size=\"41030656\"] \n  41 -> 44 [size =\"41030656\"]\n  42 [size=\"23877120\", alpha=\"0.14\", expect_size=\"9550848\"] \n  42 -> 44 [size =\"9550848\"]\n  42 -> 45 [size =\"9550848\"]\n  43 [size=\"125780480\", alpha=\"0.20\", expect_size=\"50312192\"] \n  43 -> 44 [size =\"50312192\"]\n  43 -> 45 [size =\"50312192\"]\n  44 [size=\"86397440\", alpha=\"0.09\", expect_size=\"34558976\"] \n  45 [size=\"41953280\", alpha=\"0.10\", expect_size=\"16781312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81821696\", alpha=\"0.17\", expect_size=\"40910848\"] \n  2 [size=\"30048256\", alpha=\"0.07\", expect_size=\"15024128\"] \n  2 -> 11 [size =\"15024128\"]\n  3 [size=\"25415680\", alpha=\"0.03\", expect_size=\"12707840\"] \n  3 -> 8 [size =\"12707840\"]\n  3 -> 10 [size =\"12707840\"]\n  4 [size=\"69165056\", alpha=\"0.08\", expect_size=\"34582528\"] \n  4 -> 10 [size =\"34582528\"]\n  5 [size=\"81068032\", alpha=\"0.03\", expect_size=\"40534016\"] \n  5 -> 7 [size =\"40534016\"]\n  5 -> 11 [size =\"40534016\"]\n  6 [size=\"71520256\", alpha=\"0.18\", expect_size=\"35760128\"] \n  6 -> 9 [size =\"35760128\"]\n  6 -> 11 [size =\"35760128\"]\n  7 [size=\"71548928\", alpha=\"0.14\", expect_size=\"35774464\"] \n  7 -> 16 [size =\"35774464\"]\n  8 [size=\"65486848\", alpha=\"0.01\", expect_size=\"32743424\"] \n  8 -> 13 [size =\"32743424\"]\n  8 -> 14 [size =\"32743424\"]\n  9 [size=\"97431552\", alpha=\"0.19\", expect_size=\"48715776\"] \n  9 -> 14 [size =\"48715776\"]\n  9 -> 15 [size =\"48715776\"]\n  9 -> 16 [size =\"48715776\"]\n  10 [size=\"23207936\", alpha=\"0.09\", expect_size=\"11603968\"] \n  10 -> 12 [size =\"11603968\"]\n  10 -> 16 [size =\"11603968\"]\n  11 [size=\"14518272\", alpha=\"0.12\", expect_size=\"7259136\"] \n  11 -> 15 [size =\"7259136\"]\n  12 [size=\"93419520\", alpha=\"0.07\", expect_size=\"46709760\"] \n  13 [size=\"32249856\", alpha=\"0.05\", expect_size=\"16124928\"] \n  13 -> 21 [size =\"16124928\"]\n  14 [size=\"45348864\", alpha=\"0.00\", expect_size=\"22674432\"] \n  14 -> 19 [size =\"22674432\"]\n  14 -> 20 [size =\"22674432\"]\n  15 [size=\"80738304\", alpha=\"0.08\", expect_size=\"40369152\"] \n  15 -> 18 [size =\"40369152\"]\n  15 -> 20 [size =\"40369152\"]\n  16 [size=\"96923648\", alpha=\"0.16\", expect_size=\"48461824\"] \n  16 -> 17 [size =\"48461824\"]\n  17 [size=\"87160832\", alpha=\"0.03\", expect_size=\"43580416\"] \n  17 -> 24 [size =\"43580416\"]\n  17 -> 26 [size =\"43580416\"]\n  18 [size=\"57284608\", alpha=\"0.03\", expect_size=\"28642304\"] \n  18 -> 24 [size =\"28642304\"]\n  18 -> 25 [size =\"28642304\"]\n  18 -> 26 [size =\"28642304\"]\n  19 [size=\"59865088\", alpha=\"0.11\", expect_size=\"29932544\"] \n  19 -> 22 [size =\"29932544\"]\n  19 -> 26 [size =\"29932544\"]\n  20 [size=\"53037056\", alpha=\"0.12\", expect_size=\"26518528\"] \n  20 -> 23 [size =\"26518528\"]\n  20 -> 28 [size =\"26518528\"]\n  21 [size=\"93681664\", alpha=\"0.08\", expect_size=\"46840832\"] \n  21 -> 23 [size =\"46840832\"]\n  21 -> 25 [size =\"46840832\"]\n  21 -> 27 [size =\"46840832\"]\n  22 [size=\"57888768\", alpha=\"0.09\", expect_size=\"28944384\"] \n  22 -> 29 [size =\"28944384\"]\n  22 -> 30 [size =\"28944384\"]\n  22 -> 32 [size =\"28944384\"]\n  23 [size=\"91488256\", alpha=\"0.12\", expect_size=\"45744128\"] \n  24 [size=\"19232768\", alpha=\"0.08\", expect_size=\"9616384\"] \n  24 -> 29 [size =\"9616384\"]\n  24 -> 31 [size =\"9616384\"]\n  24 -> 32 [size =\"9616384\"]\n  25 [size=\"20350976\", alpha=\"0.19\", expect_size=\"10175488\"] \n  25 -> 29 [size =\"10175488\"]\n  26 [size=\"56164352\", alpha=\"0.03\", expect_size=\"28082176\"] \n  26 -> 30 [size =\"28082176\"]\n  27 [size=\"35682304\", alpha=\"0.00\", expect_size=\"17841152\"] \n  27 -> 31 [size =\"17841152\"]\n  28 [size=\"51904512\", alpha=\"0.09\", expect_size=\"25952256\"] \n  28 -> 29 [size =\"25952256\"]\n  28 -> 30 [size =\"25952256\"]\n  29 [size=\"68073472\", alpha=\"0.16\", expect_size=\"34036736\"] \n  29 -> 33 [size =\"34036736\"]\n  29 -> 37 [size =\"34036736\"]\n  30 [size=\"23599104\", alpha=\"0.05\", expect_size=\"11799552\"] \n  30 -> 34 [size =\"11799552\"]\n  30 -> 35 [size =\"11799552\"]\n  30 -> 37 [size =\"11799552\"]\n  30 -> 38 [size =\"11799552\"]\n  31 [size=\"79155200\", alpha=\"0.16\", expect_size=\"39577600\"] \n  31 -> 38 [size =\"39577600\"]\n  32 [size=\"22964224\", alpha=\"0.04\", expect_size=\"11482112\"] \n  32 -> 34 [size =\"11482112\"]\n  32 -> 36 [size =\"11482112\"]\n  33 [size=\"63334400\", alpha=\"0.17\", expect_size=\"31667200\"] \n  33 -> 39 [size =\"31667200\"]\n  33 -> 40 [size =\"31667200\"]\n  33 -> 41 [size =\"31667200\"]\n  33 -> 42 [size =\"31667200\"]\n  33 -> 44 [size =\"31667200\"]\n  34 [size=\"26454016\", alpha=\"0.17\", expect_size=\"13227008\"] \n  34 -> 39 [size =\"13227008\"]\n  34 -> 41 [size =\"13227008\"]\n  34 -> 42 [size =\"13227008\"]\n  35 [size=\"65374208\", alpha=\"0.12\", expect_size=\"32687104\"] \n  35 -> 43 [size =\"32687104\"]\n  35 -> 44 [size =\"32687104\"]\n  36 [size=\"61935616\", alpha=\"0.05\", expect_size=\"30967808\"] \n  36 -> 41 [size =\"30967808\"]\n  36 -> 43 [size =\"30967808\"]\n  37 [size=\"77172736\", alpha=\"0.15\", expect_size=\"38586368\"] \n  37 -> 43 [size =\"38586368\"]\n  38 [size=\"77778944\", alpha=\"0.14\", expect_size=\"38889472\"] \n  39 [size=\"24385536\", alpha=\"0.04\", expect_size=\"12192768\"] \n  40 [size=\"98310144\", alpha=\"0.03\", expect_size=\"49155072\"] \n  41 [size=\"29159424\", alpha=\"0.20\", expect_size=\"14579712\"] \n  42 [size=\"104085504\", alpha=\"0.06\", expect_size=\"52042752\"] \n  42 -> 45 [size =\"52042752\"]\n  43 [size=\"28534784\", alpha=\"0.10\", expect_size=\"14267392\"] \n  43 -> 45 [size =\"14267392\"]\n  44 [size=\"13015040\", alpha=\"0.16\", expect_size=\"6507520\"] \n  45 [size=\"92389376\", alpha=\"0.04\", expect_size=\"46194688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92211200\", alpha=\"0.11\", expect_size=\"46105600\"] \n  1 -> 2 [size =\"46105600\"]\n  2 [size=\"59705344\", alpha=\"0.13\", expect_size=\"29852672\"] \n  2 -> 3 [size =\"29852672\"]\n  3 [size=\"13068288\", alpha=\"0.08\", expect_size=\"6534144\"] \n  3 -> 4 [size =\"6534144\"]\n  4 [size=\"97751040\", alpha=\"0.15\", expect_size=\"48875520\"] \n  4 -> 5 [size =\"48875520\"]\n  5 [size=\"31379456\", alpha=\"0.16\", expect_size=\"15689728\"] \n  5 -> 6 [size =\"15689728\"]\n  6 [size=\"58578944\", alpha=\"0.04\", expect_size=\"29289472\"] \n  6 -> 7 [size =\"29289472\"]\n  7 [size=\"101433344\", alpha=\"0.01\", expect_size=\"50716672\"] \n  7 -> 8 [size =\"50716672\"]\n  8 [size=\"74780672\", alpha=\"0.07\", expect_size=\"37390336\"] \n  8 -> 9 [size =\"37390336\"]\n  9 [size=\"56365056\", alpha=\"0.11\", expect_size=\"28182528\"] \n  9 -> 10 [size =\"28182528\"]\n  10 [size=\"57018368\", alpha=\"0.06\", expect_size=\"28509184\"] \n  10 -> 11 [size =\"28509184\"]\n  11 [size=\"41693184\", alpha=\"0.11\", expect_size=\"20846592\"] \n  11 -> 12 [size =\"20846592\"]\n  12 [size=\"95430656\", alpha=\"0.17\", expect_size=\"47715328\"] \n  12 -> 13 [size =\"47715328\"]\n  13 [size=\"63254528\", alpha=\"0.09\", expect_size=\"31627264\"] \n  13 -> 14 [size =\"31627264\"]\n  14 [size=\"102752256\", alpha=\"0.13\", expect_size=\"51376128\"] \n  14 -> 15 [size =\"51376128\"]\n  15 [size=\"80500736\", alpha=\"0.17\", expect_size=\"40250368\"] \n  15 -> 16 [size =\"40250368\"]\n  16 [size=\"63381504\", alpha=\"0.08\", expect_size=\"31690752\"] \n  16 -> 17 [size =\"31690752\"]\n  17 [size=\"81899520\", alpha=\"0.12\", expect_size=\"40949760\"] \n  17 -> 18 [size =\"40949760\"]\n  18 [size=\"88250368\", alpha=\"0.15\", expect_size=\"44125184\"] \n  18 -> 19 [size =\"44125184\"]\n  19 [size=\"27590656\", alpha=\"0.05\", expect_size=\"13795328\"] \n  19 -> 20 [size =\"13795328\"]\n  20 [size=\"80953344\", alpha=\"0.06\", expect_size=\"40476672\"] \n  20 -> 21 [size =\"40476672\"]\n  21 [size=\"12560384\", alpha=\"0.04\", expect_size=\"6280192\"] \n  21 -> 22 [size =\"6280192\"]\n  22 [size=\"64696320\", alpha=\"0.13\", expect_size=\"32348160\"] \n  22 -> 23 [size =\"32348160\"]\n  23 [size=\"48263168\", alpha=\"0.02\", expect_size=\"24131584\"] \n  23 -> 24 [size =\"24131584\"]\n  24 [size=\"89894912\", alpha=\"0.10\", expect_size=\"44947456\"] \n  24 -> 25 [size =\"44947456\"]\n  25 [size=\"56397824\", alpha=\"0.02\", expect_size=\"28198912\"] \n  25 -> 26 [size =\"28198912\"]\n  26 [size=\"43767808\", alpha=\"0.04\", expect_size=\"21883904\"] \n  26 -> 27 [size =\"21883904\"]\n  27 [size=\"79355904\", alpha=\"0.06\", expect_size=\"39677952\"] \n  27 -> 28 [size =\"39677952\"]\n  28 [size=\"43177984\", alpha=\"0.01\", expect_size=\"21588992\"] \n  28 -> 29 [size =\"21588992\"]\n  29 [size=\"18063360\", alpha=\"0.06\", expect_size=\"9031680\"] \n  29 -> 30 [size =\"9031680\"]\n  30 [size=\"40769536\", alpha=\"0.01\", expect_size=\"20384768\"] \n  30 -> 31 [size =\"20384768\"]\n  31 [size=\"67975168\", alpha=\"0.03\", expect_size=\"33987584\"] \n  31 -> 32 [size =\"33987584\"]\n  32 [size=\"87031808\", alpha=\"0.02\", expect_size=\"43515904\"] \n  32 -> 33 [size =\"43515904\"]\n  33 [size=\"52791296\", alpha=\"0.13\", expect_size=\"26395648\"] \n  33 -> 34 [size =\"26395648\"]\n  34 [size=\"62203904\", alpha=\"0.03\", expect_size=\"31101952\"] \n  34 -> 35 [size =\"31101952\"]\n  35 [size=\"13799424\", alpha=\"0.08\", expect_size=\"6899712\"] \n  35 -> 36 [size =\"6899712\"]\n  36 [size=\"22837248\", alpha=\"0.04\", expect_size=\"11418624\"] \n  36 -> 37 [size =\"11418624\"]\n  37 [size=\"43044864\", alpha=\"0.16\", expect_size=\"21522432\"] \n  37 -> 38 [size =\"21522432\"]\n  38 [size=\"70995968\", alpha=\"0.03\", expect_size=\"35497984\"] \n  38 -> 39 [size =\"35497984\"]\n  39 [size=\"76619776\", alpha=\"0.15\", expect_size=\"38309888\"] \n  39 -> 40 [size =\"38309888\"]\n  40 [size=\"11419648\", alpha=\"0.01\", expect_size=\"5709824\"] \n  40 -> 41 [size =\"5709824\"]\n  41 [size=\"16304128\", alpha=\"0.08\", expect_size=\"8152064\"] \n  41 -> 42 [size =\"8152064\"]\n  42 [size=\"28110848\", alpha=\"0.07\", expect_size=\"14055424\"] \n  42 -> 43 [size =\"14055424\"]\n  43 [size=\"37410816\", alpha=\"0.13\", expect_size=\"18705408\"] \n  43 -> 44 [size =\"18705408\"]\n  44 [size=\"96976896\", alpha=\"0.16\", expect_size=\"48488448\"] \n  44 -> 45 [size =\"48488448\"]\n  45 [size=\"15955968\", alpha=\"0.09\", expect_size=\"7977984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103692288\", alpha=\"0.20\", expect_size=\"51846144\"] \n  1 -> 2 [size =\"51846144\"]\n  2 [size=\"69320704\", alpha=\"0.15\", expect_size=\"34660352\"] \n  2 -> 3 [size =\"34660352\"]\n  3 [size=\"89040896\", alpha=\"0.13\", expect_size=\"44520448\"] \n  3 -> 4 [size =\"44520448\"]\n  4 [size=\"17217536\", alpha=\"0.18\", expect_size=\"8608768\"] \n  4 -> 5 [size =\"8608768\"]\n  5 [size=\"86005760\", alpha=\"0.14\", expect_size=\"43002880\"] \n  5 -> 6 [size =\"43002880\"]\n  6 [size=\"66578432\", alpha=\"0.04\", expect_size=\"33289216\"] \n  6 -> 7 [size =\"33289216\"]\n  7 [size=\"25608192\", alpha=\"0.19\", expect_size=\"12804096\"] \n  7 -> 8 [size =\"12804096\"]\n  8 [size=\"31924224\", alpha=\"0.09\", expect_size=\"15962112\"] \n  8 -> 9 [size =\"15962112\"]\n  9 [size=\"104302592\", alpha=\"0.15\", expect_size=\"52151296\"] \n  9 -> 10 [size =\"52151296\"]\n  10 [size=\"91922432\", alpha=\"0.15\", expect_size=\"45961216\"] \n  10 -> 11 [size =\"45961216\"]\n  11 [size=\"28073984\", alpha=\"0.01\", expect_size=\"14036992\"] \n  11 -> 12 [size =\"14036992\"]\n  12 [size=\"26396672\", alpha=\"0.04\", expect_size=\"13198336\"] \n  12 -> 13 [size =\"13198336\"]\n  13 [size=\"98029568\", alpha=\"0.19\", expect_size=\"49014784\"] \n  13 -> 14 [size =\"49014784\"]\n  14 [size=\"67328000\", alpha=\"0.04\", expect_size=\"33664000\"] \n  14 -> 15 [size =\"33664000\"]\n  15 [size=\"58281984\", alpha=\"0.03\", expect_size=\"29140992\"] \n  15 -> 16 [size =\"29140992\"]\n  16 [size=\"31971328\", alpha=\"0.06\", expect_size=\"15985664\"] \n  16 -> 17 [size =\"15985664\"]\n  17 [size=\"52117504\", alpha=\"0.10\", expect_size=\"26058752\"] \n  17 -> 18 [size =\"26058752\"]\n  18 [size=\"47558656\", alpha=\"0.15\", expect_size=\"23779328\"] \n  18 -> 19 [size =\"23779328\"]\n  19 [size=\"89696256\", alpha=\"0.15\", expect_size=\"44848128\"] \n  19 -> 20 [size =\"44848128\"]\n  20 [size=\"64909312\", alpha=\"0.14\", expect_size=\"32454656\"] \n  20 -> 21 [size =\"32454656\"]\n  21 [size=\"43362304\", alpha=\"0.14\", expect_size=\"21681152\"] \n  21 -> 22 [size =\"21681152\"]\n  22 [size=\"46184448\", alpha=\"0.06\", expect_size=\"23092224\"] \n  22 -> 23 [size =\"23092224\"]\n  23 [size=\"65800192\", alpha=\"0.15\", expect_size=\"32900096\"] \n  23 -> 24 [size =\"32900096\"]\n  24 [size=\"60364800\", alpha=\"0.05\", expect_size=\"30182400\"] \n  24 -> 25 [size =\"30182400\"]\n  25 [size=\"77731840\", alpha=\"0.12\", expect_size=\"38865920\"] \n  25 -> 26 [size =\"38865920\"]\n  26 [size=\"92495872\", alpha=\"0.10\", expect_size=\"46247936\"] \n  26 -> 27 [size =\"46247936\"]\n  27 [size=\"25987072\", alpha=\"0.11\", expect_size=\"12993536\"] \n  27 -> 28 [size =\"12993536\"]\n  28 [size=\"74436608\", alpha=\"0.17\", expect_size=\"37218304\"] \n  28 -> 29 [size =\"37218304\"]\n  29 [size=\"51650560\", alpha=\"0.03\", expect_size=\"25825280\"] \n  29 -> 30 [size =\"25825280\"]\n  30 [size=\"25860096\", alpha=\"0.06\", expect_size=\"12930048\"] \n  30 -> 31 [size =\"12930048\"]\n  31 [size=\"94214144\", alpha=\"0.13\", expect_size=\"47107072\"] \n  31 -> 32 [size =\"47107072\"]\n  32 [size=\"66807808\", alpha=\"0.03\", expect_size=\"33403904\"] \n  32 -> 33 [size =\"33403904\"]\n  33 [size=\"96847872\", alpha=\"0.11\", expect_size=\"48423936\"] \n  33 -> 34 [size =\"48423936\"]\n  34 [size=\"74147840\", alpha=\"0.12\", expect_size=\"37073920\"] \n  34 -> 35 [size =\"37073920\"]\n  35 [size=\"99809280\", alpha=\"0.03\", expect_size=\"49904640\"] \n  35 -> 36 [size =\"49904640\"]\n  36 [size=\"60610560\", alpha=\"0.18\", expect_size=\"30305280\"] \n  36 -> 37 [size =\"30305280\"]\n  37 [size=\"12646400\", alpha=\"0.03\", expect_size=\"6323200\"] \n  37 -> 38 [size =\"6323200\"]\n  38 [size=\"65413120\", alpha=\"0.15\", expect_size=\"32706560\"] \n  38 -> 39 [size =\"32706560\"]\n  39 [size=\"51605504\", alpha=\"0.04\", expect_size=\"25802752\"] \n  39 -> 40 [size =\"25802752\"]\n  40 [size=\"65042432\", alpha=\"0.04\", expect_size=\"32521216\"] \n  40 -> 41 [size =\"32521216\"]\n  41 [size=\"92788736\", alpha=\"0.11\", expect_size=\"46394368\"] \n  41 -> 42 [size =\"46394368\"]\n  42 [size=\"58064896\", alpha=\"0.06\", expect_size=\"29032448\"] \n  42 -> 43 [size =\"29032448\"]\n  43 [size=\"71153664\", alpha=\"0.13\", expect_size=\"35576832\"] \n  43 -> 44 [size =\"35576832\"]\n  44 [size=\"30855168\", alpha=\"0.10\", expect_size=\"15427584\"] \n  44 -> 45 [size =\"15427584\"]\n  45 [size=\"88387584\", alpha=\"0.02\", expect_size=\"44193792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110172160\", alpha=\"0.10\", expect_size=\"33051648\"] \n  1 -> 6 [size =\"33051648\"]\n  1 -> 8 [size =\"33051648\"]\n  1 -> 9 [size =\"33051648\"]\n  2 [size=\"65638400\", alpha=\"0.06\", expect_size=\"19691520\"] \n  2 -> 6 [size =\"19691520\"]\n  2 -> 8 [size =\"19691520\"]\n  3 [size=\"173056000\", alpha=\"0.04\", expect_size=\"51916800\"] \n  3 -> 6 [size =\"51916800\"]\n  3 -> 7 [size =\"51916800\"]\n  3 -> 8 [size =\"51916800\"]\n  3 -> 9 [size =\"51916800\"]\n  3 -> 10 [size =\"51916800\"]\n  4 [size=\"156774400\", alpha=\"0.13\", expect_size=\"47032320\"] \n  4 -> 6 [size =\"47032320\"]\n  4 -> 7 [size =\"47032320\"]\n  4 -> 8 [size =\"47032320\"]\n  5 [size=\"88886613\", alpha=\"0.03\", expect_size=\"26665984\"] \n  5 -> 6 [size =\"26665984\"]\n  5 -> 8 [size =\"26665984\"]\n  6 [size=\"104311467\", alpha=\"0.14\", expect_size=\"31293440\"] \n  6 -> 11 [size =\"31293440\"]\n  6 -> 15 [size =\"31293440\"]\n  7 [size=\"161105920\", alpha=\"0.08\", expect_size=\"48331776\"] \n  7 -> 11 [size =\"48331776\"]\n  7 -> 12 [size =\"48331776\"]\n  7 -> 13 [size =\"48331776\"]\n  8 [size=\"21814613\", alpha=\"0.18\", expect_size=\"6544384\"] \n  8 -> 11 [size =\"6544384\"]\n  8 -> 12 [size =\"6544384\"]\n  8 -> 15 [size =\"6544384\"]\n  9 [size=\"28846080\", alpha=\"0.11\", expect_size=\"8653824\"] \n  9 -> 11 [size =\"8653824\"]\n  9 -> 12 [size =\"8653824\"]\n  9 -> 14 [size =\"8653824\"]\n  9 -> 15 [size =\"8653824\"]\n  10 [size=\"121879893\", alpha=\"0.14\", expect_size=\"36563968\"] \n  10 -> 11 [size =\"36563968\"]\n  10 -> 12 [size =\"36563968\"]\n  10 -> 14 [size =\"36563968\"]\n  10 -> 15 [size =\"36563968\"]\n  11 [size=\"62661973\", alpha=\"0.19\", expect_size=\"18798592\"] \n  11 -> 16 [size =\"18798592\"]\n  11 -> 19 [size =\"18798592\"]\n  12 [size=\"137523200\", alpha=\"0.17\", expect_size=\"41256960\"] \n  12 -> 19 [size =\"41256960\"]\n  13 [size=\"28832427\", alpha=\"0.09\", expect_size=\"8649728\"] \n  13 -> 16 [size =\"8649728\"]\n  13 -> 20 [size =\"8649728\"]\n  14 [size=\"57890133\", alpha=\"0.18\", expect_size=\"17367040\"] \n  14 -> 18 [size =\"17367040\"]\n  14 -> 20 [size =\"17367040\"]\n  15 [size=\"160303787\", alpha=\"0.01\", expect_size=\"48091136\"] \n  15 -> 16 [size =\"48091136\"]\n  15 -> 17 [size =\"48091136\"]\n  16 [size=\"25047040\", alpha=\"0.07\", expect_size=\"7514112\"] \n  16 -> 21 [size =\"7514112\"]\n  16 -> 22 [size =\"7514112\"]\n  16 -> 24 [size =\"7514112\"]\n  16 -> 25 [size =\"7514112\"]\n  16 -> 26 [size =\"7514112\"]\n  17 [size=\"137751893\", alpha=\"0.12\", expect_size=\"41325568\"] \n  17 -> 22 [size =\"41325568\"]\n  18 [size=\"45916160\", alpha=\"0.18\", expect_size=\"13774848\"] \n  18 -> 21 [size =\"13774848\"]\n  18 -> 23 [size =\"13774848\"]\n  18 -> 24 [size =\"13774848\"]\n  19 [size=\"31443627\", alpha=\"0.06\", expect_size=\"9433088\"] \n  19 -> 21 [size =\"9433088\"]\n  19 -> 24 [size =\"9433088\"]\n  19 -> 24 [size =\"9433088\"]\n  20 [size=\"116282027\", alpha=\"0.17\", expect_size=\"34884608\"] \n  20 -> 21 [size =\"34884608\"]\n  20 -> 23 [size =\"34884608\"]\n  20 -> 24 [size =\"34884608\"]\n  20 -> 25 [size =\"34884608\"]\n  20 -> 26 [size =\"34884608\"]\n  21 [size=\"71707307\", alpha=\"0.00\", expect_size=\"21512192\"] \n  21 -> 28 [size =\"21512192\"]\n  21 -> 29 [size =\"21512192\"]\n  21 -> 31 [size =\"21512192\"]\n  21 -> 32 [size =\"21512192\"]\n  22 [size=\"61890560\", alpha=\"0.09\", expect_size=\"18567168\"] \n  22 -> 27 [size =\"18567168\"]\n  22 -> 28 [size =\"18567168\"]\n  22 -> 30 [size =\"18567168\"]\n  23 [size=\"41748480\", alpha=\"0.18\", expect_size=\"12524544\"] \n  23 -> 27 [size =\"12524544\"]\n  23 -> 28 [size =\"12524544\"]\n  23 -> 29 [size =\"12524544\"]\n  23 -> 30 [size =\"12524544\"]\n  23 -> 32 [size =\"12524544\"]\n  24 [size=\"115247787\", alpha=\"0.05\", expect_size=\"34574336\"] \n  24 -> 28 [size =\"34574336\"]\n  24 -> 29 [size =\"34574336\"]\n  24 -> 29 [size =\"34574336\"]\n  24 -> 30 [size =\"34574336\"]\n  24 -> 31 [size =\"34574336\"]\n  24 -> 32 [size =\"34574336\"]\n  25 [size=\"96576853\", alpha=\"0.00\", expect_size=\"28973056\"] \n  25 -> 28 [size =\"28973056\"]\n  25 -> 29 [size =\"28973056\"]\n  25 -> 30 [size =\"28973056\"]\n  25 -> 31 [size =\"28973056\"]\n  25 -> 32 [size =\"28973056\"]\n  26 [size=\"104048640\", alpha=\"0.07\", expect_size=\"31214592\"] \n  26 -> 28 [size =\"31214592\"]\n  26 -> 30 [size =\"31214592\"]\n  26 -> 31 [size =\"31214592\"]\n  26 -> 31 [size =\"31214592\"]\n  26 -> 32 [size =\"31214592\"]\n  27 [size=\"159645013\", alpha=\"0.12\", expect_size=\"47893504\"] \n  27 -> 35 [size =\"47893504\"]\n  27 -> 37 [size =\"47893504\"]\n  28 [size=\"95989760\", alpha=\"0.18\", expect_size=\"28796928\"] \n  28 -> 34 [size =\"28796928\"]\n  28 -> 35 [size =\"28796928\"]\n  28 -> 37 [size =\"28796928\"]\n  29 [size=\"76803413\", alpha=\"0.05\", expect_size=\"23041024\"] \n  29 -> 34 [size =\"23041024\"]\n  29 -> 35 [size =\"23041024\"]\n  29 -> 37 [size =\"23041024\"]\n  30 [size=\"123279360\", alpha=\"0.05\", expect_size=\"36983808\"] \n  30 -> 33 [size =\"36983808\"]\n  30 -> 35 [size =\"36983808\"]\n  30 -> 37 [size =\"36983808\"]\n  31 [size=\"100505600\", alpha=\"0.11\", expect_size=\"30151680\"] \n  31 -> 34 [size =\"30151680\"]\n  31 -> 35 [size =\"30151680\"]\n  31 -> 37 [size =\"30151680\"]\n  32 [size=\"101178027\", alpha=\"0.12\", expect_size=\"30353408\"] \n  32 -> 35 [size =\"30353408\"]\n  32 -> 36 [size =\"30353408\"]\n  33 [size=\"173462187\", alpha=\"0.15\", expect_size=\"52038656\"] \n  33 -> 40 [size =\"52038656\"]\n  33 -> 41 [size =\"52038656\"]\n  33 -> 42 [size =\"52038656\"]\n  34 [size=\"158365013\", alpha=\"0.03\", expect_size=\"47509504\"] \n  34 -> 38 [size =\"47509504\"]\n  34 -> 39 [size =\"47509504\"]\n  34 -> 40 [size =\"47509504\"]\n  34 -> 42 [size =\"47509504\"]\n  35 [size=\"37905067\", alpha=\"0.09\", expect_size=\"11371520\"] \n  35 -> 38 [size =\"11371520\"]\n  35 -> 40 [size =\"11371520\"]\n  35 -> 41 [size =\"11371520\"]\n  35 -> 42 [size =\"11371520\"]\n  36 [size=\"40775680\", alpha=\"0.16\", expect_size=\"12232704\"] \n  36 -> 39 [size =\"12232704\"]\n  36 -> 40 [size =\"12232704\"]\n  36 -> 41 [size =\"12232704\"]\n  36 -> 42 [size =\"12232704\"]\n  37 [size=\"96532480\", alpha=\"0.18\", expect_size=\"28959744\"] \n  37 -> 41 [size =\"28959744\"]\n  37 -> 42 [size =\"28959744\"]\n  38 [size=\"34228907\", alpha=\"0.04\", expect_size=\"10268672\"] \n  38 -> 44 [size =\"10268672\"]\n  39 [size=\"172782933\", alpha=\"0.12\", expect_size=\"51834880\"] \n  39 -> 44 [size =\"51834880\"]\n  39 -> 45 [size =\"51834880\"]\n  40 [size=\"51701760\", alpha=\"0.12\", expect_size=\"15510528\"] \n  40 -> 43 [size =\"15510528\"]\n  40 -> 44 [size =\"15510528\"]\n  40 -> 45 [size =\"15510528\"]\n  41 [size=\"89965227\", alpha=\"0.19\", expect_size=\"26989568\"] \n  41 -> 43 [size =\"26989568\"]\n  42 [size=\"18189653\", alpha=\"0.12\", expect_size=\"5456896\"] \n  42 -> 45 [size =\"5456896\"]\n  43 [size=\"113704960\", alpha=\"0.08\", expect_size=\"34111488\"] \n  44 [size=\"73297920\", alpha=\"0.16\", expect_size=\"21989376\"] \n  45 [size=\"94672213\", alpha=\"0.14\", expect_size=\"28401664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57233408\", alpha=\"0.07\", expect_size=\"28616704\"] \n  1 -> 14 [size =\"28616704\"]\n  1 -> 16 [size =\"28616704\"]\n  1 -> 19 [size =\"28616704\"]\n  1 -> 22 [size =\"28616704\"]\n  1 -> 26 [size =\"28616704\"]\n  1 -> 27 [size =\"28616704\"]\n  2 [size=\"82432000\", alpha=\"0.15\", expect_size=\"41216000\"] \n  2 -> 15 [size =\"41216000\"]\n  2 -> 16 [size =\"41216000\"]\n  2 -> 19 [size =\"41216000\"]\n  2 -> 25 [size =\"41216000\"]\n  3 [size=\"32571392\", alpha=\"0.12\", expect_size=\"16285696\"] \n  3 -> 16 [size =\"16285696\"]\n  3 -> 19 [size =\"16285696\"]\n  4 [size=\"60577792\", alpha=\"0.18\", expect_size=\"30288896\"] \n  4 -> 18 [size =\"30288896\"]\n  5 [size=\"100141056\", alpha=\"0.15\", expect_size=\"50070528\"] \n  5 -> 14 [size =\"50070528\"]\n  5 -> 17 [size =\"50070528\"]\n  5 -> 18 [size =\"50070528\"]\n  5 -> 20 [size =\"50070528\"]\n  5 -> 22 [size =\"50070528\"]\n  6 [size=\"31946752\", alpha=\"0.11\", expect_size=\"15973376\"] \n  6 -> 18 [size =\"15973376\"]\n  7 [size=\"63291392\", alpha=\"0.10\", expect_size=\"31645696\"] \n  7 -> 21 [size =\"31645696\"]\n  7 -> 22 [size =\"31645696\"]\n  7 -> 24 [size =\"31645696\"]\n  7 -> 27 [size =\"31645696\"]\n  8 [size=\"34062336\", alpha=\"0.16\", expect_size=\"17031168\"] \n  8 -> 18 [size =\"17031168\"]\n  8 -> 22 [size =\"17031168\"]\n  9 [size=\"96282624\", alpha=\"0.15\", expect_size=\"48141312\"] \n  9 -> 14 [size =\"48141312\"]\n  9 -> 16 [size =\"48141312\"]\n  9 -> 18 [size =\"48141312\"]\n  9 -> 22 [size =\"48141312\"]\n  9 -> 24 [size =\"48141312\"]\n  9 -> 25 [size =\"48141312\"]\n  9 -> 27 [size =\"48141312\"]\n  10 [size=\"25886720\", alpha=\"0.08\", expect_size=\"12943360\"] \n  10 -> 16 [size =\"12943360\"]\n  10 -> 16 [size =\"12943360\"]\n  10 -> 18 [size =\"12943360\"]\n  10 -> 19 [size =\"12943360\"]\n  10 -> 20 [size =\"12943360\"]\n  10 -> 22 [size =\"12943360\"]\n  10 -> 23 [size =\"12943360\"]\n  11 [size=\"51429376\", alpha=\"0.18\", expect_size=\"25714688\"] \n  11 -> 19 [size =\"25714688\"]\n  11 -> 21 [size =\"25714688\"]\n  11 -> 26 [size =\"25714688\"]\n  12 [size=\"85323776\", alpha=\"0.13\", expect_size=\"42661888\"] \n  12 -> 22 [size =\"42661888\"]\n  12 -> 24 [size =\"42661888\"]\n  13 [size=\"61974528\", alpha=\"0.09\", expect_size=\"30987264\"] \n  13 -> 16 [size =\"30987264\"]\n  13 -> 27 [size =\"30987264\"]\n  14 [size=\"24377344\", alpha=\"0.04\", expect_size=\"12188672\"] \n  14 -> 29 [size =\"12188672\"]\n  14 -> 29 [size =\"12188672\"]\n  14 -> 33 [size =\"12188672\"]\n  14 -> 34 [size =\"12188672\"]\n  14 -> 36 [size =\"12188672\"]\n  14 -> 37 [size =\"12188672\"]\n  14 -> 38 [size =\"12188672\"]\n  14 -> 39 [size =\"12188672\"]\n  15 [size=\"14925824\", alpha=\"0.19\", expect_size=\"7462912\"] \n  15 -> 28 [size =\"7462912\"]\n  15 -> 34 [size =\"7462912\"]\n  15 -> 35 [size =\"7462912\"]\n  15 -> 36 [size =\"7462912\"]\n  15 -> 36 [size =\"7462912\"]\n  15 -> 40 [size =\"7462912\"]\n  15 -> 41 [size =\"7462912\"]\n  16 [size=\"86837248\", alpha=\"0.04\", expect_size=\"43418624\"] \n  16 -> 29 [size =\"43418624\"]\n  16 -> 34 [size =\"43418624\"]\n  16 -> 35 [size =\"43418624\"]\n  16 -> 41 [size =\"43418624\"]\n  17 [size=\"44427264\", alpha=\"0.12\", expect_size=\"22213632\"] \n  17 -> 29 [size =\"22213632\"]\n  17 -> 30 [size =\"22213632\"]\n  17 -> 31 [size =\"22213632\"]\n  17 -> 33 [size =\"22213632\"]\n  17 -> 35 [size =\"22213632\"]\n  17 -> 36 [size =\"22213632\"]\n  17 -> 39 [size =\"22213632\"]\n  17 -> 41 [size =\"22213632\"]\n  18 [size=\"91355136\", alpha=\"0.04\", expect_size=\"45677568\"] \n  18 -> 28 [size =\"45677568\"]\n  18 -> 29 [size =\"45677568\"]\n  18 -> 34 [size =\"45677568\"]\n  18 -> 35 [size =\"45677568\"]\n  18 -> 36 [size =\"45677568\"]\n  18 -> 39 [size =\"45677568\"]\n  18 -> 41 [size =\"45677568\"]\n  18 -> 41 [size =\"45677568\"]\n  19 [size=\"71313408\", alpha=\"0.05\", expect_size=\"35656704\"] \n  19 -> 29 [size =\"35656704\"]\n  19 -> 30 [size =\"35656704\"]\n  19 -> 31 [size =\"35656704\"]\n  19 -> 32 [size =\"35656704\"]\n  19 -> 34 [size =\"35656704\"]\n  20 [size=\"46780416\", alpha=\"0.01\", expect_size=\"23390208\"] \n  20 -> 28 [size =\"23390208\"]\n  20 -> 29 [size =\"23390208\"]\n  20 -> 33 [size =\"23390208\"]\n  20 -> 37 [size =\"23390208\"]\n  20 -> 38 [size =\"23390208\"]\n  20 -> 39 [size =\"23390208\"]\n  21 [size=\"83245056\", alpha=\"0.08\", expect_size=\"41622528\"] \n  21 -> 28 [size =\"41622528\"]\n  21 -> 29 [size =\"41622528\"]\n  21 -> 31 [size =\"41622528\"]\n  21 -> 32 [size =\"41622528\"]\n  21 -> 33 [size =\"41622528\"]\n  21 -> 34 [size =\"41622528\"]\n  21 -> 36 [size =\"41622528\"]\n  21 -> 38 [size =\"41622528\"]\n  21 -> 41 [size =\"41622528\"]\n  22 [size=\"75245568\", alpha=\"0.10\", expect_size=\"37622784\"] \n  22 -> 33 [size =\"37622784\"]\n  22 -> 34 [size =\"37622784\"]\n  23 [size=\"41707520\", alpha=\"0.17\", expect_size=\"20853760\"] \n  23 -> 33 [size =\"20853760\"]\n  23 -> 35 [size =\"20853760\"]\n  23 -> 36 [size =\"20853760\"]\n  23 -> 37 [size =\"20853760\"]\n  23 -> 38 [size =\"20853760\"]\n  24 [size=\"83077120\", alpha=\"0.14\", expect_size=\"41538560\"] \n  24 -> 34 [size =\"41538560\"]\n  24 -> 35 [size =\"41538560\"]\n  24 -> 38 [size =\"41538560\"]\n  25 [size=\"104163328\", alpha=\"0.10\", expect_size=\"52081664\"] \n  25 -> 28 [size =\"52081664\"]\n  25 -> 30 [size =\"52081664\"]\n  25 -> 32 [size =\"52081664\"]\n  25 -> 33 [size =\"52081664\"]\n  25 -> 35 [size =\"52081664\"]\n  25 -> 36 [size =\"52081664\"]\n  25 -> 37 [size =\"52081664\"]\n  25 -> 38 [size =\"52081664\"]\n  26 [size=\"97392640\", alpha=\"0.11\", expect_size=\"48696320\"] \n  26 -> 30 [size =\"48696320\"]\n  26 -> 38 [size =\"48696320\"]\n  27 [size=\"23224320\", alpha=\"0.03\", expect_size=\"11612160\"] \n  27 -> 28 [size =\"11612160\"]\n  27 -> 29 [size =\"11612160\"]\n  27 -> 31 [size =\"11612160\"]\n  27 -> 33 [size =\"11612160\"]\n  27 -> 38 [size =\"11612160\"]\n  28 [size=\"78376960\", alpha=\"0.00\", expect_size=\"39188480\"] \n  29 [size=\"97843200\", alpha=\"0.15\", expect_size=\"48921600\"] \n  30 [size=\"25458688\", alpha=\"0.14\", expect_size=\"12729344\"] \n  30 -> 45 [size =\"12729344\"]\n  31 [size=\"32479232\", alpha=\"0.01\", expect_size=\"16239616\"] \n  31 -> 42 [size =\"16239616\"]\n  31 -> 45 [size =\"16239616\"]\n  32 [size=\"71282688\", alpha=\"0.04\", expect_size=\"35641344\"] \n  33 [size=\"25069568\", alpha=\"0.18\", expect_size=\"12534784\"] \n  33 -> 43 [size =\"12534784\"]\n  33 -> 44 [size =\"12534784\"]\n  33 -> 45 [size =\"12534784\"]\n  34 [size=\"104671232\", alpha=\"0.15\", expect_size=\"52335616\"] \n  34 -> 45 [size =\"52335616\"]\n  35 [size=\"77066240\", alpha=\"0.13\", expect_size=\"38533120\"] \n  35 -> 45 [size =\"38533120\"]\n  36 [size=\"31911936\", alpha=\"0.07\", expect_size=\"15955968\"] \n  36 -> 42 [size =\"15955968\"]\n  36 -> 45 [size =\"15955968\"]\n  37 [size=\"85041152\", alpha=\"0.08\", expect_size=\"42520576\"] \n  37 -> 43 [size =\"42520576\"]\n  38 [size=\"100515840\", alpha=\"0.06\", expect_size=\"50257920\"] \n  38 -> 42 [size =\"50257920\"]\n  38 -> 43 [size =\"50257920\"]\n  38 -> 45 [size =\"50257920\"]\n  39 [size=\"101914624\", alpha=\"0.17\", expect_size=\"50957312\"] \n  39 -> 42 [size =\"50957312\"]\n  39 -> 43 [size =\"50957312\"]\n  39 -> 45 [size =\"50957312\"]\n  40 [size=\"80664576\", alpha=\"0.16\", expect_size=\"40332288\"] \n  40 -> 42 [size =\"40332288\"]\n  40 -> 44 [size =\"40332288\"]\n  41 [size=\"52164608\", alpha=\"0.11\", expect_size=\"26082304\"] \n  41 -> 44 [size =\"26082304\"]\n  42 [size=\"57360384\", alpha=\"0.19\", expect_size=\"28680192\"] \n  43 [size=\"76720128\", alpha=\"0.13\", expect_size=\"38360064\"] \n  44 [size=\"67358720\", alpha=\"0.03\", expect_size=\"33679360\"] \n  45 [size=\"43173888\", alpha=\"0.13\", expect_size=\"21586944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63526400\", alpha=\"0.02\", expect_size=\"25410560\"] \n  1 -> 10 [size =\"25410560\"]\n  2 [size=\"61578240\", alpha=\"0.16\", expect_size=\"24631296\"] \n  2 -> 8 [size =\"24631296\"]\n  2 -> 10 [size =\"24631296\"]\n  2 -> 11 [size =\"24631296\"]\n  3 [size=\"110691840\", alpha=\"0.15\", expect_size=\"44276736\"] \n  3 -> 9 [size =\"44276736\"]\n  4 [size=\"31792640\", alpha=\"0.19\", expect_size=\"12717056\"] \n  4 -> 7 [size =\"12717056\"]\n  4 -> 9 [size =\"12717056\"]\n  5 [size=\"92285440\", alpha=\"0.13\", expect_size=\"36914176\"] \n  5 -> 8 [size =\"36914176\"]\n  5 -> 9 [size =\"36914176\"]\n  5 -> 10 [size =\"36914176\"]\n  6 [size=\"127674880\", alpha=\"0.11\", expect_size=\"51069952\"] \n  6 -> 8 [size =\"51069952\"]\n  6 -> 9 [size =\"51069952\"]\n  6 -> 10 [size =\"51069952\"]\n  7 [size=\"95267840\", alpha=\"0.13\", expect_size=\"38107136\"] \n  7 -> 13 [size =\"38107136\"]\n  7 -> 15 [size =\"38107136\"]\n  8 [size=\"130321920\", alpha=\"0.16\", expect_size=\"52128768\"] \n  8 -> 12 [size =\"52128768\"]\n  9 [size=\"42557440\", alpha=\"0.14\", expect_size=\"17022976\"] \n  9 -> 13 [size =\"17022976\"]\n  9 -> 15 [size =\"17022976\"]\n  9 -> 16 [size =\"17022976\"]\n  10 [size=\"98667520\", alpha=\"0.11\", expect_size=\"39467008\"] \n  10 -> 13 [size =\"39467008\"]\n  10 -> 15 [size =\"39467008\"]\n  10 -> 16 [size =\"39467008\"]\n  11 [size=\"21588480\", alpha=\"0.06\", expect_size=\"8635392\"] \n  11 -> 14 [size =\"8635392\"]\n  11 -> 16 [size =\"8635392\"]\n  12 [size=\"36321280\", alpha=\"0.09\", expect_size=\"14528512\"] \n  12 -> 17 [size =\"14528512\"]\n  12 -> 18 [size =\"14528512\"]\n  12 -> 20 [size =\"14528512\"]\n  12 -> 21 [size =\"14528512\"]\n  13 [size=\"127982080\", alpha=\"0.05\", expect_size=\"51192832\"] \n  13 -> 17 [size =\"51192832\"]\n  13 -> 20 [size =\"51192832\"]\n  14 [size=\"97751040\", alpha=\"0.06\", expect_size=\"39100416\"] \n  14 -> 18 [size =\"39100416\"]\n  14 -> 19 [size =\"39100416\"]\n  14 -> 21 [size =\"39100416\"]\n  15 [size=\"91002880\", alpha=\"0.16\", expect_size=\"36401152\"] \n  15 -> 19 [size =\"36401152\"]\n  15 -> 19 [size =\"36401152\"]\n  15 -> 20 [size =\"36401152\"]\n  15 -> 21 [size =\"36401152\"]\n  16 [size=\"47006720\", alpha=\"0.10\", expect_size=\"18802688\"] \n  16 -> 18 [size =\"18802688\"]\n  16 -> 19 [size =\"18802688\"]\n  17 [size=\"112878080\", alpha=\"0.13\", expect_size=\"45151232\"] \n  17 -> 22 [size =\"45151232\"]\n  17 -> 23 [size =\"45151232\"]\n  17 -> 26 [size =\"45151232\"]\n  18 [size=\"74472960\", alpha=\"0.14\", expect_size=\"29789184\"] \n  18 -> 22 [size =\"29789184\"]\n  18 -> 23 [size =\"29789184\"]\n  18 -> 24 [size =\"29789184\"]\n  19 [size=\"53094400\", alpha=\"0.04\", expect_size=\"21237760\"] \n  19 -> 24 [size =\"21237760\"]\n  19 -> 27 [size =\"21237760\"]\n  20 [size=\"16089600\", alpha=\"0.06\", expect_size=\"6435840\"] \n  20 -> 22 [size =\"6435840\"]\n  20 -> 27 [size =\"6435840\"]\n  21 [size=\"80209920\", alpha=\"0.16\", expect_size=\"32083968\"] \n  21 -> 22 [size =\"32083968\"]\n  21 -> 25 [size =\"32083968\"]\n  21 -> 27 [size =\"32083968\"]\n  22 [size=\"115855360\", alpha=\"0.15\", expect_size=\"46342144\"] \n  22 -> 29 [size =\"46342144\"]\n  22 -> 30 [size =\"46342144\"]\n  23 [size=\"50173440\", alpha=\"0.10\", expect_size=\"20069376\"] \n  23 -> 28 [size =\"20069376\"]\n  23 -> 29 [size =\"20069376\"]\n  23 -> 31 [size =\"20069376\"]\n  24 [size=\"81359360\", alpha=\"0.08\", expect_size=\"32543744\"] \n  24 -> 29 [size =\"32543744\"]\n  24 -> 31 [size =\"32543744\"]\n  24 -> 32 [size =\"32543744\"]\n  25 [size=\"119680000\", alpha=\"0.19\", expect_size=\"47872000\"] \n  25 -> 28 [size =\"47872000\"]\n  25 -> 29 [size =\"47872000\"]\n  26 [size=\"96230400\", alpha=\"0.10\", expect_size=\"38492160\"] \n  27 [size=\"39956480\", alpha=\"0.15\", expect_size=\"15982592\"] \n  28 [size=\"114631680\", alpha=\"0.00\", expect_size=\"45852672\"] \n  28 -> 33 [size =\"45852672\"]\n  28 -> 34 [size =\"45852672\"]\n  28 -> 35 [size =\"45852672\"]\n  29 [size=\"81246720\", alpha=\"0.10\", expect_size=\"32498688\"] \n  29 -> 36 [size =\"32498688\"]\n  29 -> 38 [size =\"32498688\"]\n  30 [size=\"106675200\", alpha=\"0.14\", expect_size=\"42670080\"] \n  31 [size=\"24079360\", alpha=\"0.00\", expect_size=\"9631744\"] \n  31 -> 33 [size =\"9631744\"]\n  31 -> 35 [size =\"9631744\"]\n  32 [size=\"119813120\", alpha=\"0.10\", expect_size=\"47925248\"] \n  32 -> 33 [size =\"47925248\"]\n  32 -> 35 [size =\"47925248\"]\n  32 -> 37 [size =\"47925248\"]\n  33 [size=\"88450560\", alpha=\"0.19\", expect_size=\"35380224\"] \n  33 -> 39 [size =\"35380224\"]\n  34 [size=\"27576320\", alpha=\"0.02\", expect_size=\"11030528\"] \n  34 -> 41 [size =\"11030528\"]\n  34 -> 42 [size =\"11030528\"]\n  34 -> 43 [size =\"11030528\"]\n  35 [size=\"73845760\", alpha=\"0.19\", expect_size=\"29538304\"] \n  35 -> 40 [size =\"29538304\"]\n  35 -> 42 [size =\"29538304\"]\n  35 -> 43 [size =\"29538304\"]\n  36 [size=\"70507520\", alpha=\"0.02\", expect_size=\"28203008\"] \n  36 -> 40 [size =\"28203008\"]\n  36 -> 43 [size =\"28203008\"]\n  37 [size=\"14167040\", alpha=\"0.01\", expect_size=\"5666816\"] \n  37 -> 40 [size =\"5666816\"]\n  37 -> 43 [size =\"5666816\"]\n  38 [size=\"104947200\", alpha=\"0.11\", expect_size=\"41978880\"] \n  38 -> 40 [size =\"41978880\"]\n  38 -> 43 [size =\"41978880\"]\n  38 -> 44 [size =\"41978880\"]\n  39 [size=\"106170880\", alpha=\"0.07\", expect_size=\"42468352\"] \n  39 -> 45 [size =\"42468352\"]\n  40 [size=\"47290880\", alpha=\"0.04\", expect_size=\"18916352\"] \n  41 [size=\"13867520\", alpha=\"0.13\", expect_size=\"5547008\"] \n  41 -> 45 [size =\"5547008\"]\n  42 [size=\"14382080\", alpha=\"0.19\", expect_size=\"5752832\"] \n  43 [size=\"72048640\", alpha=\"0.11\", expect_size=\"28819456\"] \n  44 [size=\"65820160\", alpha=\"0.15\", expect_size=\"26328064\"] \n  45 [size=\"80335360\", alpha=\"0.17\", expect_size=\"32134144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24026453\", alpha=\"0.12\", expect_size=\"7207936\"] \n  1 -> 3 [size =\"7207936\"]\n  1 -> 5 [size =\"7207936\"]\n  2 [size=\"139523413\", alpha=\"0.17\", expect_size=\"41857024\"] \n  2 -> 4 [size =\"41857024\"]\n  2 -> 5 [size =\"41857024\"]\n  3 [size=\"84486827\", alpha=\"0.09\", expect_size=\"25346048\"] \n  4 [size=\"109073067\", alpha=\"0.16\", expect_size=\"32721920\"] \n  5 [size=\"130665813\", alpha=\"0.15\", expect_size=\"39199744\"] \n  5 -> 6 [size =\"39199744\"]\n  5 -> 7 [size =\"39199744\"]\n  6 [size=\"30027093\", alpha=\"0.10\", expect_size=\"9008128\"] \n  6 -> 8 [size =\"9008128\"]\n  7 [size=\"174100480\", alpha=\"0.09\", expect_size=\"52230144\"] \n  7 -> 8 [size =\"52230144\"]\n  7 -> 9 [size =\"52230144\"]\n  8 [size=\"167185067\", alpha=\"0.14\", expect_size=\"50155520\"] \n  8 -> 12 [size =\"50155520\"]\n  9 [size=\"80196267\", alpha=\"0.19\", expect_size=\"24058880\"] \n  9 -> 10 [size =\"24058880\"]\n  9 -> 11 [size =\"24058880\"]\n  9 -> 12 [size =\"24058880\"]\n  10 [size=\"42164907\", alpha=\"0.03\", expect_size=\"12649472\"] \n  10 -> 13 [size =\"12649472\"]\n  10 -> 14 [size =\"12649472\"]\n  10 -> 15 [size =\"12649472\"]\n  11 [size=\"163263147\", alpha=\"0.11\", expect_size=\"48978944\"] \n  12 [size=\"97952427\", alpha=\"0.08\", expect_size=\"29385728\"] \n  12 -> 13 [size =\"29385728\"]\n  12 -> 14 [size =\"29385728\"]\n  13 [size=\"76892160\", alpha=\"0.12\", expect_size=\"23067648\"] \n  14 [size=\"151473493\", alpha=\"0.08\", expect_size=\"45442048\"] \n  14 -> 16 [size =\"45442048\"]\n  15 [size=\"119661227\", alpha=\"0.07\", expect_size=\"35898368\"] \n  15 -> 16 [size =\"35898368\"]\n  15 -> 17 [size =\"35898368\"]\n  16 [size=\"83073707\", alpha=\"0.08\", expect_size=\"24922112\"] \n  16 -> 18 [size =\"24922112\"]\n  16 -> 19 [size =\"24922112\"]\n  16 -> 20 [size =\"24922112\"]\n  17 [size=\"162034347\", alpha=\"0.15\", expect_size=\"48610304\"] \n  17 -> 20 [size =\"48610304\"]\n  18 [size=\"75233280\", alpha=\"0.13\", expect_size=\"22569984\"] \n  18 -> 21 [size =\"22569984\"]\n  18 -> 22 [size =\"22569984\"]\n  18 -> 23 [size =\"22569984\"]\n  19 [size=\"31856640\", alpha=\"0.06\", expect_size=\"9556992\"] \n  19 -> 22 [size =\"9556992\"]\n  20 [size=\"26675200\", alpha=\"0.14\", expect_size=\"8002560\"] \n  21 [size=\"50158933\", alpha=\"0.03\", expect_size=\"15047680\"] \n  21 -> 25 [size =\"15047680\"]\n  22 [size=\"133659307\", alpha=\"0.07\", expect_size=\"40097792\"] \n  22 -> 25 [size =\"40097792\"]\n  22 -> 26 [size =\"40097792\"]\n  23 [size=\"40820053\", alpha=\"0.19\", expect_size=\"12246016\"] \n  23 -> 24 [size =\"12246016\"]\n  23 -> 26 [size =\"12246016\"]\n  24 [size=\"133031253\", alpha=\"0.04\", expect_size=\"39909376\"] \n  25 [size=\"34996907\", alpha=\"0.02\", expect_size=\"10499072\"] \n  26 [size=\"91105280\", alpha=\"0.03\", expect_size=\"27331584\"] \n  26 -> 27 [size =\"27331584\"]\n  26 -> 28 [size =\"27331584\"]\n  27 [size=\"152477013\", alpha=\"0.03\", expect_size=\"45743104\"] \n  27 -> 30 [size =\"45743104\"]\n  28 [size=\"109981013\", alpha=\"0.02\", expect_size=\"32994304\"] \n  28 -> 29 [size =\"32994304\"]\n  29 [size=\"57169920\", alpha=\"0.09\", expect_size=\"17150976\"] \n  29 -> 31 [size =\"17150976\"]\n  29 -> 32 [size =\"17150976\"]\n  29 -> 33 [size =\"17150976\"]\n  30 [size=\"105915733\", alpha=\"0.20\", expect_size=\"31774720\"] \n  30 -> 31 [size =\"31774720\"]\n  30 -> 33 [size =\"31774720\"]\n  31 [size=\"58624000\", alpha=\"0.09\", expect_size=\"17587200\"] \n  32 [size=\"79138133\", alpha=\"0.08\", expect_size=\"23741440\"] \n  32 -> 34 [size =\"23741440\"]\n  32 -> 35 [size =\"23741440\"]\n  33 [size=\"132215467\", alpha=\"0.15\", expect_size=\"39664640\"] \n  33 -> 35 [size =\"39664640\"]\n  34 [size=\"127583573\", alpha=\"0.18\", expect_size=\"38275072\"] \n  34 -> 36 [size =\"38275072\"]\n  34 -> 37 [size =\"38275072\"]\n  35 [size=\"156842667\", alpha=\"0.15\", expect_size=\"47052800\"] \n  35 -> 38 [size =\"47052800\"]\n  36 [size=\"18609493\", alpha=\"0.00\", expect_size=\"5582848\"] \n  36 -> 39 [size =\"5582848\"]\n  36 -> 40 [size =\"5582848\"]\n  37 [size=\"40011093\", alpha=\"0.03\", expect_size=\"12003328\"] \n  37 -> 41 [size =\"12003328\"]\n  38 [size=\"63102293\", alpha=\"0.14\", expect_size=\"18930688\"] \n  39 [size=\"80305493\", alpha=\"0.07\", expect_size=\"24091648\"] \n  39 -> 42 [size =\"24091648\"]\n  39 -> 43 [size =\"24091648\"]\n  40 [size=\"154344107\", alpha=\"0.01\", expect_size=\"46303232\"] \n  40 -> 43 [size =\"46303232\"]\n  41 [size=\"152623787\", alpha=\"0.19\", expect_size=\"45787136\"] \n  41 -> 42 [size =\"45787136\"]\n  42 [size=\"63638187\", alpha=\"0.11\", expect_size=\"19091456\"] \n  42 -> 44 [size =\"19091456\"]\n  43 [size=\"125160107\", alpha=\"0.07\", expect_size=\"37548032\"] \n  43 -> 45 [size =\"37548032\"]\n  44 [size=\"82029227\", alpha=\"0.17\", expect_size=\"24608768\"] \n  45 [size=\"68246187\", alpha=\"0.10\", expect_size=\"20473856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:24 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68206080\", alpha=\"0.02\", expect_size=\"27282432\"] \n  2 [size=\"55513600\", alpha=\"0.01\", expect_size=\"22205440\"] \n  2 -> 43 [size =\"22205440\"]\n  3 [size=\"80245760\", alpha=\"0.06\", expect_size=\"32098304\"] \n  3 -> 43 [size =\"32098304\"]\n  3 -> 45 [size =\"32098304\"]\n  4 [size=\"104317440\", alpha=\"0.07\", expect_size=\"41726976\"] \n  4 -> 44 [size =\"41726976\"]\n  5 [size=\"41925120\", alpha=\"0.01\", expect_size=\"16770048\"] \n  5 -> 43 [size =\"16770048\"]\n  5 -> 44 [size =\"16770048\"]\n  6 [size=\"107696640\", alpha=\"0.14\", expect_size=\"43078656\"] \n  6 -> 43 [size =\"43078656\"]\n  6 -> 44 [size =\"43078656\"]\n  7 [size=\"40650240\", alpha=\"0.06\", expect_size=\"16260096\"] \n  7 -> 44 [size =\"16260096\"]\n  7 -> 44 [size =\"16260096\"]\n  8 [size=\"26444800\", alpha=\"0.03\", expect_size=\"10577920\"] \n  9 [size=\"60221440\", alpha=\"0.10\", expect_size=\"24088576\"] \n  9 -> 44 [size =\"24088576\"]\n  10 [size=\"64092160\", alpha=\"0.08\", expect_size=\"25636864\"] \n  11 [size=\"99153920\", alpha=\"0.02\", expect_size=\"39661568\"] \n  12 [size=\"111475200\", alpha=\"0.02\", expect_size=\"44590080\"] \n  13 [size=\"115998720\", alpha=\"0.08\", expect_size=\"46399488\"] \n  14 [size=\"33164800\", alpha=\"0.18\", expect_size=\"13265920\"] \n  14 -> 43 [size =\"13265920\"]\n  15 [size=\"74426880\", alpha=\"0.02\", expect_size=\"29770752\"] \n  16 [size=\"80296960\", alpha=\"0.00\", expect_size=\"32118784\"] \n  17 [size=\"46161920\", alpha=\"0.08\", expect_size=\"18464768\"] \n  17 -> 44 [size =\"18464768\"]\n  18 [size=\"80501760\", alpha=\"0.06\", expect_size=\"32200704\"] \n  18 -> 43 [size =\"32200704\"]\n  18 -> 44 [size =\"32200704\"]\n  19 [size=\"97413120\", alpha=\"0.16\", expect_size=\"38965248\"] \n  20 [size=\"36728320\", alpha=\"0.15\", expect_size=\"14691328\"] \n  21 [size=\"83210240\", alpha=\"0.03\", expect_size=\"33284096\"] \n  21 -> 43 [size =\"33284096\"]\n  22 [size=\"93862400\", alpha=\"0.19\", expect_size=\"37544960\"] \n  23 [size=\"108198400\", alpha=\"0.06\", expect_size=\"43279360\"] \n  24 [size=\"36162560\", alpha=\"0.09\", expect_size=\"14465024\"] \n  24 -> 44 [size =\"14465024\"]\n  24 -> 45 [size =\"14465024\"]\n  25 [size=\"25244160\", alpha=\"0.16\", expect_size=\"10097664\"] \n  26 [size=\"34147840\", alpha=\"0.00\", expect_size=\"13659136\"] \n  26 -> 43 [size =\"13659136\"]\n  27 [size=\"35271680\", alpha=\"0.08\", expect_size=\"14108672\"] \n  28 [size=\"82567680\", alpha=\"0.19\", expect_size=\"33027072\"] \n  28 -> 44 [size =\"33027072\"]\n  29 [size=\"117291520\", alpha=\"0.17\", expect_size=\"46916608\"] \n  30 [size=\"91008000\", alpha=\"0.04\", expect_size=\"36403200\"] \n  30 -> 43 [size =\"36403200\"]\n  30 -> 44 [size =\"36403200\"]\n  30 -> 45 [size =\"36403200\"]\n  31 [size=\"60316160\", alpha=\"0.06\", expect_size=\"24126464\"] \n  31 -> 44 [size =\"24126464\"]\n  32 [size=\"80314880\", alpha=\"0.04\", expect_size=\"32125952\"] \n  33 [size=\"75448320\", alpha=\"0.00\", expect_size=\"30179328\"] \n  34 [size=\"112857600\", alpha=\"0.20\", expect_size=\"45143040\"] \n  34 -> 44 [size =\"45143040\"]\n  35 [size=\"47820800\", alpha=\"0.09\", expect_size=\"19128320\"] \n  35 -> 43 [size =\"19128320\"]\n  35 -> 44 [size =\"19128320\"]\n  36 [size=\"27125760\", alpha=\"0.10\", expect_size=\"10850304\"] \n  36 -> 43 [size =\"10850304\"]\n  36 -> 44 [size =\"10850304\"]\n  37 [size=\"27394560\", alpha=\"0.17\", expect_size=\"10957824\"] \n  37 -> 45 [size =\"10957824\"]\n  38 [size=\"76175360\", alpha=\"0.15\", expect_size=\"30470144\"] \n  39 [size=\"68843520\", alpha=\"0.07\", expect_size=\"27537408\"] \n  39 -> 43 [size =\"27537408\"]\n  39 -> 44 [size =\"27537408\"]\n  40 [size=\"52513280\", alpha=\"0.04\", expect_size=\"21005312\"] \n  41 [size=\"78167040\", alpha=\"0.12\", expect_size=\"31266816\"] \n  41 -> 44 [size =\"31266816\"]\n  42 [size=\"113891840\", alpha=\"0.14\", expect_size=\"45556736\"] \n  42 -> 44 [size =\"45556736\"]\n  43 [size=\"22126080\", alpha=\"0.12\", expect_size=\"8850432\"] \n  44 [size=\"23726080\", alpha=\"0.14\", expect_size=\"9490432\"] \n  45 [size=\"20784640\", alpha=\"0.18\", expect_size=\"8313856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75036672\", alpha=\"0.16\", expect_size=\"37518336\"] \n  1 -> 4 [size =\"37518336\"]\n  1 -> 5 [size =\"37518336\"]\n  2 [size=\"46817280\", alpha=\"0.11\", expect_size=\"23408640\"] \n  2 -> 4 [size =\"23408640\"]\n  2 -> 6 [size =\"23408640\"]\n  3 [size=\"63684608\", alpha=\"0.01\", expect_size=\"31842304\"] \n  3 -> 6 [size =\"31842304\"]\n  4 [size=\"80513024\", alpha=\"0.16\", expect_size=\"40256512\"] \n  4 -> 7 [size =\"40256512\"]\n  4 -> 8 [size =\"40256512\"]\n  4 -> 9 [size =\"40256512\"]\n  5 [size=\"78548992\", alpha=\"0.13\", expect_size=\"39274496\"] \n  5 -> 7 [size =\"39274496\"]\n  6 [size=\"92825600\", alpha=\"0.13\", expect_size=\"46412800\"] \n  6 -> 8 [size =\"46412800\"]\n  6 -> 9 [size =\"46412800\"]\n  7 [size=\"103012352\", alpha=\"0.03\", expect_size=\"51506176\"] \n  7 -> 10 [size =\"51506176\"]\n  8 [size=\"57165824\", alpha=\"0.08\", expect_size=\"28582912\"] \n  8 -> 10 [size =\"28582912\"]\n  9 [size=\"77258752\", alpha=\"0.02\", expect_size=\"38629376\"] \n  9 -> 11 [size =\"38629376\"]\n  10 [size=\"33478656\", alpha=\"0.14\", expect_size=\"16739328\"] \n  10 -> 12 [size =\"16739328\"]\n  10 -> 13 [size =\"16739328\"]\n  11 [size=\"33558528\", alpha=\"0.03\", expect_size=\"16779264\"] \n  12 [size=\"13637632\", alpha=\"0.07\", expect_size=\"6818816\"] \n  12 -> 14 [size =\"6818816\"]\n  12 -> 15 [size =\"6818816\"]\n  13 [size=\"66879488\", alpha=\"0.07\", expect_size=\"33439744\"] \n  13 -> 14 [size =\"33439744\"]\n  14 [size=\"71405568\", alpha=\"0.04\", expect_size=\"35702784\"] \n  15 [size=\"51142656\", alpha=\"0.12\", expect_size=\"25571328\"] \n  15 -> 16 [size =\"25571328\"]\n  15 -> 17 [size =\"25571328\"]\n  16 [size=\"18628608\", alpha=\"0.08\", expect_size=\"9314304\"] \n  16 -> 18 [size =\"9314304\"]\n  16 -> 19 [size =\"9314304\"]\n  17 [size=\"82016256\", alpha=\"0.12\", expect_size=\"41008128\"] \n  17 -> 19 [size =\"41008128\"]\n  18 [size=\"96227328\", alpha=\"0.12\", expect_size=\"48113664\"] \n  18 -> 20 [size =\"48113664\"]\n  18 -> 21 [size =\"48113664\"]\n  19 [size=\"39751680\", alpha=\"0.02\", expect_size=\"19875840\"] \n  19 -> 20 [size =\"19875840\"]\n  20 [size=\"50259968\", alpha=\"0.15\", expect_size=\"25129984\"] \n  20 -> 24 [size =\"25129984\"]\n  21 [size=\"21471232\", alpha=\"0.00\", expect_size=\"10735616\"] \n  21 -> 22 [size =\"10735616\"]\n  21 -> 23 [size =\"10735616\"]\n  21 -> 24 [size =\"10735616\"]\n  22 [size=\"33978368\", alpha=\"0.14\", expect_size=\"16989184\"] \n  22 -> 26 [size =\"16989184\"]\n  23 [size=\"66400256\", alpha=\"0.18\", expect_size=\"33200128\"] \n  23 -> 25 [size =\"33200128\"]\n  23 -> 26 [size =\"33200128\"]\n  23 -> 27 [size =\"33200128\"]\n  24 [size=\"99807232\", alpha=\"0.18\", expect_size=\"49903616\"] \n  24 -> 25 [size =\"49903616\"]\n  24 -> 27 [size =\"49903616\"]\n  25 [size=\"24883200\", alpha=\"0.12\", expect_size=\"12441600\"] \n  26 [size=\"80611328\", alpha=\"0.04\", expect_size=\"40305664\"] \n  26 -> 28 [size =\"40305664\"]\n  27 [size=\"21782528\", alpha=\"0.15\", expect_size=\"10891264\"] \n  27 -> 29 [size =\"10891264\"]\n  28 [size=\"76544000\", alpha=\"0.16\", expect_size=\"38272000\"] \n  28 -> 30 [size =\"38272000\"]\n  28 -> 31 [size =\"38272000\"]\n  29 [size=\"39088128\", alpha=\"0.11\", expect_size=\"19544064\"] \n  30 [size=\"50661376\", alpha=\"0.11\", expect_size=\"25330688\"] \n  30 -> 32 [size =\"25330688\"]\n  31 [size=\"24858624\", alpha=\"0.15\", expect_size=\"12429312\"] \n  31 -> 33 [size =\"12429312\"]\n  32 [size=\"26232832\", alpha=\"0.01\", expect_size=\"13116416\"] \n  32 -> 34 [size =\"13116416\"]\n  32 -> 36 [size =\"13116416\"]\n  33 [size=\"91117568\", alpha=\"0.18\", expect_size=\"45558784\"] \n  33 -> 35 [size =\"45558784\"]\n  33 -> 36 [size =\"45558784\"]\n  34 [size=\"83968000\", alpha=\"0.09\", expect_size=\"41984000\"] \n  34 -> 38 [size =\"41984000\"]\n  34 -> 39 [size =\"41984000\"]\n  35 [size=\"74813440\", alpha=\"0.08\", expect_size=\"37406720\"] \n  35 -> 37 [size =\"37406720\"]\n  36 [size=\"37343232\", alpha=\"0.09\", expect_size=\"18671616\"] \n  36 -> 37 [size =\"18671616\"]\n  37 [size=\"53901312\", alpha=\"0.05\", expect_size=\"26950656\"] \n  37 -> 41 [size =\"26950656\"]\n  38 [size=\"28270592\", alpha=\"0.19\", expect_size=\"14135296\"] \n  38 -> 40 [size =\"14135296\"]\n  38 -> 41 [size =\"14135296\"]\n  39 [size=\"101505024\", alpha=\"0.19\", expect_size=\"50752512\"] \n  40 [size=\"57264128\", alpha=\"0.08\", expect_size=\"28632064\"] \n  41 [size=\"12910592\", alpha=\"0.19\", expect_size=\"6455296\"] \n  41 -> 42 [size =\"6455296\"]\n  41 -> 43 [size =\"6455296\"]\n  41 -> 44 [size =\"6455296\"]\n  42 [size=\"85893120\", alpha=\"0.15\", expect_size=\"42946560\"] \n  43 [size=\"90617856\", alpha=\"0.02\", expect_size=\"45308928\"] \n  44 [size=\"83480576\", alpha=\"0.09\", expect_size=\"41740288\"] \n  44 -> 45 [size =\"41740288\"]\n  45 [size=\"31033344\", alpha=\"0.19\", expect_size=\"15516672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39821312\", alpha=\"0.00\", expect_size=\"19910656\"] \n  1 -> 2 [size =\"19910656\"]\n  2 [size=\"50386944\", alpha=\"0.10\", expect_size=\"25193472\"] \n  2 -> 3 [size =\"25193472\"]\n  3 [size=\"10944512\", alpha=\"0.06\", expect_size=\"5472256\"] \n  3 -> 4 [size =\"5472256\"]\n  4 [size=\"100886528\", alpha=\"0.17\", expect_size=\"50443264\"] \n  4 -> 5 [size =\"50443264\"]\n  5 [size=\"47073280\", alpha=\"0.15\", expect_size=\"23536640\"] \n  5 -> 6 [size =\"23536640\"]\n  6 [size=\"45150208\", alpha=\"0.18\", expect_size=\"22575104\"] \n  6 -> 7 [size =\"22575104\"]\n  7 [size=\"29892608\", alpha=\"0.06\", expect_size=\"14946304\"] \n  7 -> 8 [size =\"14946304\"]\n  8 [size=\"87296000\", alpha=\"0.01\", expect_size=\"43648000\"] \n  8 -> 9 [size =\"43648000\"]\n  9 [size=\"51083264\", alpha=\"0.10\", expect_size=\"25541632\"] \n  9 -> 10 [size =\"25541632\"]\n  10 [size=\"46837760\", alpha=\"0.09\", expect_size=\"23418880\"] \n  10 -> 11 [size =\"23418880\"]\n  11 [size=\"52129792\", alpha=\"0.07\", expect_size=\"26064896\"] \n  11 -> 12 [size =\"26064896\"]\n  12 [size=\"52598784\", alpha=\"0.13\", expect_size=\"26299392\"] \n  12 -> 13 [size =\"26299392\"]\n  13 [size=\"101130240\", alpha=\"0.17\", expect_size=\"50565120\"] \n  13 -> 14 [size =\"50565120\"]\n  14 [size=\"35731456\", alpha=\"0.02\", expect_size=\"17865728\"] \n  14 -> 15 [size =\"17865728\"]\n  15 [size=\"19890176\", alpha=\"0.05\", expect_size=\"9945088\"] \n  15 -> 16 [size =\"9945088\"]\n  16 [size=\"91873280\", alpha=\"0.09\", expect_size=\"45936640\"] \n  16 -> 17 [size =\"45936640\"]\n  17 [size=\"81506304\", alpha=\"0.02\", expect_size=\"40753152\"] \n  17 -> 18 [size =\"40753152\"]\n  18 [size=\"16390144\", alpha=\"0.05\", expect_size=\"8195072\"] \n  18 -> 19 [size =\"8195072\"]\n  19 [size=\"22142976\", alpha=\"0.19\", expect_size=\"11071488\"] \n  19 -> 20 [size =\"11071488\"]\n  20 [size=\"69023744\", alpha=\"0.15\", expect_size=\"34511872\"] \n  20 -> 21 [size =\"34511872\"]\n  21 [size=\"17076224\", alpha=\"0.17\", expect_size=\"8538112\"] \n  21 -> 22 [size =\"8538112\"]\n  22 [size=\"50991104\", alpha=\"0.07\", expect_size=\"25495552\"] \n  22 -> 23 [size =\"25495552\"]\n  23 [size=\"18757632\", alpha=\"0.18\", expect_size=\"9378816\"] \n  23 -> 24 [size =\"9378816\"]\n  24 [size=\"99641344\", alpha=\"0.08\", expect_size=\"49820672\"] \n  24 -> 25 [size =\"49820672\"]\n  25 [size=\"12961792\", alpha=\"0.05\", expect_size=\"6480896\"] \n  25 -> 26 [size =\"6480896\"]\n  26 [size=\"36323328\", alpha=\"0.10\", expect_size=\"18161664\"] \n  26 -> 27 [size =\"18161664\"]\n  27 [size=\"77252608\", alpha=\"0.20\", expect_size=\"38626304\"] \n  27 -> 28 [size =\"38626304\"]\n  28 [size=\"88156160\", alpha=\"0.05\", expect_size=\"44078080\"] \n  28 -> 29 [size =\"44078080\"]\n  29 [size=\"17457152\", alpha=\"0.19\", expect_size=\"8728576\"] \n  29 -> 30 [size =\"8728576\"]\n  30 [size=\"10805248\", alpha=\"0.00\", expect_size=\"5402624\"] \n  30 -> 31 [size =\"5402624\"]\n  31 [size=\"79343616\", alpha=\"0.11\", expect_size=\"39671808\"] \n  31 -> 32 [size =\"39671808\"]\n  32 [size=\"63660032\", alpha=\"0.10\", expect_size=\"31830016\"] \n  32 -> 33 [size =\"31830016\"]\n  33 [size=\"98029568\", alpha=\"0.09\", expect_size=\"49014784\"] \n  33 -> 34 [size =\"49014784\"]\n  34 [size=\"88541184\", alpha=\"0.13\", expect_size=\"44270592\"] \n  34 -> 35 [size =\"44270592\"]\n  35 [size=\"31225856\", alpha=\"0.19\", expect_size=\"15612928\"] \n  35 -> 36 [size =\"15612928\"]\n  36 [size=\"57042944\", alpha=\"0.02\", expect_size=\"28521472\"] \n  36 -> 37 [size =\"28521472\"]\n  37 [size=\"11913216\", alpha=\"0.00\", expect_size=\"5956608\"] \n  37 -> 38 [size =\"5956608\"]\n  38 [size=\"103987200\", alpha=\"0.20\", expect_size=\"51993600\"] \n  38 -> 39 [size =\"51993600\"]\n  39 [size=\"32591872\", alpha=\"0.02\", expect_size=\"16295936\"] \n  39 -> 40 [size =\"16295936\"]\n  40 [size=\"27068416\", alpha=\"0.16\", expect_size=\"13534208\"] \n  40 -> 41 [size =\"13534208\"]\n  41 [size=\"29396992\", alpha=\"0.12\", expect_size=\"14698496\"] \n  41 -> 42 [size =\"14698496\"]\n  42 [size=\"81223680\", alpha=\"0.17\", expect_size=\"40611840\"] \n  42 -> 43 [size =\"40611840\"]\n  43 [size=\"35919872\", alpha=\"0.03\", expect_size=\"17959936\"] \n  43 -> 44 [size =\"17959936\"]\n  44 [size=\"78497792\", alpha=\"0.08\", expect_size=\"39248896\"] \n  44 -> 45 [size =\"39248896\"]\n  45 [size=\"45465600\", alpha=\"0.13\", expect_size=\"22732800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18034688\", alpha=\"0.03\", expect_size=\"9017344\"] \n  1 -> 31 [size =\"9017344\"]\n  1 -> 34 [size =\"9017344\"]\n  1 -> 36 [size =\"9017344\"]\n  1 -> 38 [size =\"9017344\"]\n  1 -> 42 [size =\"9017344\"]\n  1 -> 43 [size =\"9017344\"]\n  1 -> 44 [size =\"9017344\"]\n  2 [size=\"95289344\", alpha=\"0.12\", expect_size=\"47644672\"] \n  2 -> 31 [size =\"47644672\"]\n  2 -> 33 [size =\"47644672\"]\n  2 -> 36 [size =\"47644672\"]\n  2 -> 37 [size =\"47644672\"]\n  2 -> 38 [size =\"47644672\"]\n  2 -> 40 [size =\"47644672\"]\n  2 -> 42 [size =\"47644672\"]\n  2 -> 43 [size =\"47644672\"]\n  2 -> 44 [size =\"47644672\"]\n  3 [size=\"29339648\", alpha=\"0.07\", expect_size=\"14669824\"] \n  3 -> 30 [size =\"14669824\"]\n  3 -> 31 [size =\"14669824\"]\n  3 -> 32 [size =\"14669824\"]\n  3 -> 33 [size =\"14669824\"]\n  3 -> 40 [size =\"14669824\"]\n  3 -> 42 [size =\"14669824\"]\n  3 -> 44 [size =\"14669824\"]\n  4 [size=\"95168512\", alpha=\"0.04\", expect_size=\"47584256\"] \n  4 -> 31 [size =\"47584256\"]\n  4 -> 33 [size =\"47584256\"]\n  4 -> 40 [size =\"47584256\"]\n  4 -> 43 [size =\"47584256\"]\n  4 -> 44 [size =\"47584256\"]\n  5 [size=\"74168320\", alpha=\"0.06\", expect_size=\"37084160\"] \n  5 -> 31 [size =\"37084160\"]\n  5 -> 36 [size =\"37084160\"]\n  5 -> 37 [size =\"37084160\"]\n  5 -> 40 [size =\"37084160\"]\n  5 -> 43 [size =\"37084160\"]\n  5 -> 44 [size =\"37084160\"]\n  5 -> 45 [size =\"37084160\"]\n  6 [size=\"70805504\", alpha=\"0.07\", expect_size=\"35402752\"] \n  6 -> 31 [size =\"35402752\"]\n  6 -> 34 [size =\"35402752\"]\n  6 -> 36 [size =\"35402752\"]\n  6 -> 37 [size =\"35402752\"]\n  6 -> 38 [size =\"35402752\"]\n  6 -> 39 [size =\"35402752\"]\n  6 -> 40 [size =\"35402752\"]\n  6 -> 44 [size =\"35402752\"]\n  6 -> 45 [size =\"35402752\"]\n  7 [size=\"31750144\", alpha=\"0.14\", expect_size=\"15875072\"] \n  7 -> 30 [size =\"15875072\"]\n  7 -> 32 [size =\"15875072\"]\n  7 -> 34 [size =\"15875072\"]\n  7 -> 37 [size =\"15875072\"]\n  7 -> 40 [size =\"15875072\"]\n  7 -> 42 [size =\"15875072\"]\n  7 -> 44 [size =\"15875072\"]\n  7 -> 44 [size =\"15875072\"]\n  7 -> 45 [size =\"15875072\"]\n  8 [size=\"75952128\", alpha=\"0.10\", expect_size=\"37976064\"] \n  8 -> 31 [size =\"37976064\"]\n  8 -> 36 [size =\"37976064\"]\n  8 -> 38 [size =\"37976064\"]\n  8 -> 39 [size =\"37976064\"]\n  8 -> 42 [size =\"37976064\"]\n  9 [size=\"90472448\", alpha=\"0.12\", expect_size=\"45236224\"] \n  9 -> 31 [size =\"45236224\"]\n  9 -> 32 [size =\"45236224\"]\n  9 -> 33 [size =\"45236224\"]\n  9 -> 34 [size =\"45236224\"]\n  9 -> 36 [size =\"45236224\"]\n  9 -> 37 [size =\"45236224\"]\n  9 -> 39 [size =\"45236224\"]\n  9 -> 40 [size =\"45236224\"]\n  9 -> 42 [size =\"45236224\"]\n  9 -> 44 [size =\"45236224\"]\n  10 [size=\"67618816\", alpha=\"0.01\", expect_size=\"33809408\"] \n  10 -> 30 [size =\"33809408\"]\n  10 -> 31 [size =\"33809408\"]\n  10 -> 32 [size =\"33809408\"]\n  10 -> 33 [size =\"33809408\"]\n  10 -> 34 [size =\"33809408\"]\n  10 -> 36 [size =\"33809408\"]\n  10 -> 38 [size =\"33809408\"]\n  10 -> 39 [size =\"33809408\"]\n  10 -> 42 [size =\"33809408\"]\n  10 -> 44 [size =\"33809408\"]\n  11 [size=\"37855232\", alpha=\"0.19\", expect_size=\"18927616\"] \n  11 -> 36 [size =\"18927616\"]\n  11 -> 40 [size =\"18927616\"]\n  11 -> 42 [size =\"18927616\"]\n  11 -> 45 [size =\"18927616\"]\n  12 [size=\"50853888\", alpha=\"0.10\", expect_size=\"25426944\"] \n  12 -> 33 [size =\"25426944\"]\n  12 -> 36 [size =\"25426944\"]\n  12 -> 40 [size =\"25426944\"]\n  12 -> 41 [size =\"25426944\"]\n  12 -> 42 [size =\"25426944\"]\n  12 -> 43 [size =\"25426944\"]\n  13 [size=\"12892160\", alpha=\"0.07\", expect_size=\"6446080\"] \n  13 -> 33 [size =\"6446080\"]\n  13 -> 36 [size =\"6446080\"]\n  13 -> 38 [size =\"6446080\"]\n  13 -> 42 [size =\"6446080\"]\n  13 -> 43 [size =\"6446080\"]\n  13 -> 43 [size =\"6446080\"]\n  14 [size=\"46602240\", alpha=\"0.14\", expect_size=\"23301120\"] \n  14 -> 33 [size =\"23301120\"]\n  14 -> 37 [size =\"23301120\"]\n  14 -> 39 [size =\"23301120\"]\n  14 -> 42 [size =\"23301120\"]\n  14 -> 45 [size =\"23301120\"]\n  15 [size=\"65863680\", alpha=\"0.11\", expect_size=\"32931840\"] \n  15 -> 31 [size =\"32931840\"]\n  15 -> 33 [size =\"32931840\"]\n  15 -> 36 [size =\"32931840\"]\n  15 -> 37 [size =\"32931840\"]\n  15 -> 43 [size =\"32931840\"]\n  15 -> 44 [size =\"32931840\"]\n  16 [size=\"95246336\", alpha=\"0.17\", expect_size=\"47623168\"] \n  16 -> 30 [size =\"47623168\"]\n  16 -> 31 [size =\"47623168\"]\n  16 -> 35 [size =\"47623168\"]\n  16 -> 36 [size =\"47623168\"]\n  17 [size=\"32215040\", alpha=\"0.07\", expect_size=\"16107520\"] \n  17 -> 30 [size =\"16107520\"]\n  17 -> 32 [size =\"16107520\"]\n  17 -> 33 [size =\"16107520\"]\n  17 -> 34 [size =\"16107520\"]\n  17 -> 36 [size =\"16107520\"]\n  17 -> 37 [size =\"16107520\"]\n  17 -> 39 [size =\"16107520\"]\n  17 -> 42 [size =\"16107520\"]\n  17 -> 45 [size =\"16107520\"]\n  18 [size=\"98013184\", alpha=\"0.16\", expect_size=\"49006592\"] \n  18 -> 30 [size =\"49006592\"]\n  18 -> 31 [size =\"49006592\"]\n  18 -> 36 [size =\"49006592\"]\n  18 -> 39 [size =\"49006592\"]\n  18 -> 42 [size =\"49006592\"]\n  19 [size=\"49147904\", alpha=\"0.13\", expect_size=\"24573952\"] \n  19 -> 30 [size =\"24573952\"]\n  19 -> 31 [size =\"24573952\"]\n  19 -> 36 [size =\"24573952\"]\n  19 -> 40 [size =\"24573952\"]\n  19 -> 42 [size =\"24573952\"]\n  19 -> 44 [size =\"24573952\"]\n  20 [size=\"12687360\", alpha=\"0.18\", expect_size=\"6343680\"] \n  20 -> 31 [size =\"6343680\"]\n  20 -> 34 [size =\"6343680\"]\n  20 -> 36 [size =\"6343680\"]\n  20 -> 39 [size =\"6343680\"]\n  20 -> 40 [size =\"6343680\"]\n  20 -> 43 [size =\"6343680\"]\n  20 -> 44 [size =\"6343680\"]\n  21 [size=\"15190016\", alpha=\"0.04\", expect_size=\"7595008\"] \n  21 -> 31 [size =\"7595008\"]\n  21 -> 33 [size =\"7595008\"]\n  21 -> 36 [size =\"7595008\"]\n  21 -> 38 [size =\"7595008\"]\n  21 -> 39 [size =\"7595008\"]\n  21 -> 40 [size =\"7595008\"]\n  21 -> 44 [size =\"7595008\"]\n  21 -> 45 [size =\"7595008\"]\n  22 [size=\"11257856\", alpha=\"0.09\", expect_size=\"5628928\"] \n  22 -> 31 [size =\"5628928\"]\n  22 -> 36 [size =\"5628928\"]\n  22 -> 36 [size =\"5628928\"]\n  22 -> 38 [size =\"5628928\"]\n  22 -> 39 [size =\"5628928\"]\n  22 -> 40 [size =\"5628928\"]\n  22 -> 42 [size =\"5628928\"]\n  22 -> 44 [size =\"5628928\"]\n  22 -> 45 [size =\"5628928\"]\n  23 [size=\"59428864\", alpha=\"0.17\", expect_size=\"29714432\"] \n  23 -> 31 [size =\"29714432\"]\n  23 -> 34 [size =\"29714432\"]\n  23 -> 36 [size =\"29714432\"]\n  23 -> 37 [size =\"29714432\"]\n  23 -> 38 [size =\"29714432\"]\n  23 -> 40 [size =\"29714432\"]\n  23 -> 41 [size =\"29714432\"]\n  23 -> 42 [size =\"29714432\"]\n  23 -> 44 [size =\"29714432\"]\n  23 -> 45 [size =\"29714432\"]\n  24 [size=\"93712384\", alpha=\"0.04\", expect_size=\"46856192\"] \n  24 -> 36 [size =\"46856192\"]\n  24 -> 38 [size =\"46856192\"]\n  24 -> 39 [size =\"46856192\"]\n  24 -> 42 [size =\"46856192\"]\n  24 -> 44 [size =\"46856192\"]\n  25 [size=\"63635456\", alpha=\"0.04\", expect_size=\"31817728\"] \n  25 -> 30 [size =\"31817728\"]\n  25 -> 33 [size =\"31817728\"]\n  25 -> 38 [size =\"31817728\"]\n  25 -> 40 [size =\"31817728\"]\n  25 -> 43 [size =\"31817728\"]\n  25 -> 44 [size =\"31817728\"]\n  25 -> 45 [size =\"31817728\"]\n  26 [size=\"21702656\", alpha=\"0.17\", expect_size=\"10851328\"] \n  26 -> 30 [size =\"10851328\"]\n  26 -> 36 [size =\"10851328\"]\n  26 -> 37 [size =\"10851328\"]\n  26 -> 38 [size =\"10851328\"]\n  26 -> 40 [size =\"10851328\"]\n  26 -> 42 [size =\"10851328\"]\n  26 -> 43 [size =\"10851328\"]\n  26 -> 44 [size =\"10851328\"]\n  27 [size=\"99942400\", alpha=\"0.14\", expect_size=\"49971200\"] \n  27 -> 30 [size =\"49971200\"]\n  27 -> 31 [size =\"49971200\"]\n  27 -> 40 [size =\"49971200\"]\n  27 -> 41 [size =\"49971200\"]\n  27 -> 43 [size =\"49971200\"]\n  27 -> 44 [size =\"49971200\"]\n  28 [size=\"37132288\", alpha=\"0.05\", expect_size=\"18566144\"] \n  28 -> 31 [size =\"18566144\"]\n  28 -> 34 [size =\"18566144\"]\n  28 -> 36 [size =\"18566144\"]\n  28 -> 38 [size =\"18566144\"]\n  28 -> 40 [size =\"18566144\"]\n  28 -> 42 [size =\"18566144\"]\n  28 -> 43 [size =\"18566144\"]\n  28 -> 44 [size =\"18566144\"]\n  29 [size=\"19798016\", alpha=\"0.13\", expect_size=\"9899008\"] \n  29 -> 36 [size =\"9899008\"]\n  29 -> 37 [size =\"9899008\"]\n  29 -> 40 [size =\"9899008\"]\n  29 -> 41 [size =\"9899008\"]\n  29 -> 43 [size =\"9899008\"]\n  29 -> 44 [size =\"9899008\"]\n  30 [size=\"80691200\", alpha=\"0.13\", expect_size=\"40345600\"] \n  31 [size=\"70598656\", alpha=\"0.19\", expect_size=\"35299328\"] \n  32 [size=\"91443200\", alpha=\"0.14\", expect_size=\"45721600\"] \n  33 [size=\"39284736\", alpha=\"0.09\", expect_size=\"19642368\"] \n  34 [size=\"27353088\", alpha=\"0.12\", expect_size=\"13676544\"] \n  35 [size=\"45957120\", alpha=\"0.06\", expect_size=\"22978560\"] \n  36 [size=\"64411648\", alpha=\"0.19\", expect_size=\"32205824\"] \n  37 [size=\"48666624\", alpha=\"0.16\", expect_size=\"24333312\"] \n  38 [size=\"19984384\", alpha=\"0.11\", expect_size=\"9992192\"] \n  39 [size=\"43835392\", alpha=\"0.15\", expect_size=\"21917696\"] \n  40 [size=\"11460608\", alpha=\"0.19\", expect_size=\"5730304\"] \n  41 [size=\"74369024\", alpha=\"0.04\", expect_size=\"37184512\"] \n  42 [size=\"71184384\", alpha=\"0.10\", expect_size=\"35592192\"] \n  43 [size=\"42280960\", alpha=\"0.05\", expect_size=\"21140480\"] \n  44 [size=\"84432896\", alpha=\"0.19\", expect_size=\"42216448\"] \n  45 [size=\"45017088\", alpha=\"0.04\", expect_size=\"22508544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16437760\", alpha=\"0.05\", expect_size=\"6575104\"] \n  1 -> 11 [size =\"6575104\"]\n  1 -> 12 [size =\"6575104\"]\n  2 [size=\"87170560\", alpha=\"0.13\", expect_size=\"34868224\"] \n  2 -> 8 [size =\"34868224\"]\n  2 -> 9 [size =\"34868224\"]\n  2 -> 11 [size =\"34868224\"]\n  3 [size=\"48762880\", alpha=\"0.14\", expect_size=\"19505152\"] \n  4 [size=\"33192960\", alpha=\"0.08\", expect_size=\"13277184\"] \n  4 -> 7 [size =\"13277184\"]\n  4 -> 9 [size =\"13277184\"]\n  5 [size=\"86996480\", alpha=\"0.09\", expect_size=\"34798592\"] \n  5 -> 7 [size =\"34798592\"]\n  5 -> 9 [size =\"34798592\"]\n  5 -> 10 [size =\"34798592\"]\n  6 [size=\"125893120\", alpha=\"0.06\", expect_size=\"50357248\"] \n  6 -> 8 [size =\"50357248\"]\n  6 -> 9 [size =\"50357248\"]\n  6 -> 11 [size =\"50357248\"]\n  7 [size=\"41169920\", alpha=\"0.15\", expect_size=\"16467968\"] \n  7 -> 15 [size =\"16467968\"]\n  8 [size=\"13268480\", alpha=\"0.05\", expect_size=\"5307392\"] \n  9 [size=\"35614720\", alpha=\"0.16\", expect_size=\"14245888\"] \n  9 -> 14 [size =\"14245888\"]\n  9 -> 15 [size =\"14245888\"]\n  10 [size=\"17354240\", alpha=\"0.09\", expect_size=\"6941696\"] \n  10 -> 13 [size =\"6941696\"]\n  11 [size=\"113697280\", alpha=\"0.07\", expect_size=\"45478912\"] \n  11 -> 14 [size =\"45478912\"]\n  11 -> 15 [size =\"45478912\"]\n  11 -> 16 [size =\"45478912\"]\n  12 [size=\"22656000\", alpha=\"0.13\", expect_size=\"9062400\"] \n  12 -> 14 [size =\"9062400\"]\n  12 -> 15 [size =\"9062400\"]\n  13 [size=\"101278720\", alpha=\"0.17\", expect_size=\"40511488\"] \n  13 -> 18 [size =\"40511488\"]\n  13 -> 20 [size =\"40511488\"]\n  14 [size=\"63270400\", alpha=\"0.00\", expect_size=\"25308160\"] \n  14 -> 17 [size =\"25308160\"]\n  14 -> 19 [size =\"25308160\"]\n  14 -> 20 [size =\"25308160\"]\n  15 [size=\"108346880\", alpha=\"0.13\", expect_size=\"43338752\"] \n  15 -> 17 [size =\"43338752\"]\n  15 -> 18 [size =\"43338752\"]\n  16 [size=\"43504640\", alpha=\"0.12\", expect_size=\"17401856\"] \n  16 -> 17 [size =\"17401856\"]\n  16 -> 18 [size =\"17401856\"]\n  16 -> 19 [size =\"17401856\"]\n  16 -> 20 [size =\"17401856\"]\n  17 [size=\"77032960\", alpha=\"0.18\", expect_size=\"30813184\"] \n  17 -> 22 [size =\"30813184\"]\n  17 -> 23 [size =\"30813184\"]\n  17 -> 24 [size =\"30813184\"]\n  17 -> 25 [size =\"30813184\"]\n  17 -> 26 [size =\"30813184\"]\n  18 [size=\"47951360\", alpha=\"0.17\", expect_size=\"19180544\"] \n  18 -> 22 [size =\"19180544\"]\n  18 -> 23 [size =\"19180544\"]\n  19 [size=\"79577600\", alpha=\"0.18\", expect_size=\"31831040\"] \n  19 -> 23 [size =\"31831040\"]\n  19 -> 26 [size =\"31831040\"]\n  20 [size=\"53447680\", alpha=\"0.04\", expect_size=\"21379072\"] \n  20 -> 21 [size =\"21379072\"]\n  20 -> 22 [size =\"21379072\"]\n  20 -> 26 [size =\"21379072\"]\n  21 [size=\"109094400\", alpha=\"0.11\", expect_size=\"43637760\"] \n  21 -> 27 [size =\"43637760\"]\n  21 -> 29 [size =\"43637760\"]\n  21 -> 30 [size =\"43637760\"]\n  21 -> 31 [size =\"43637760\"]\n  21 -> 32 [size =\"43637760\"]\n  22 [size=\"32936960\", alpha=\"0.10\", expect_size=\"13174784\"] \n  22 -> 32 [size =\"13174784\"]\n  22 -> 33 [size =\"13174784\"]\n  23 [size=\"111951360\", alpha=\"0.15\", expect_size=\"44780544\"] \n  23 -> 28 [size =\"44780544\"]\n  24 [size=\"94686720\", alpha=\"0.04\", expect_size=\"37874688\"] \n  24 -> 27 [size =\"37874688\"]\n  24 -> 30 [size =\"37874688\"]\n  24 -> 31 [size =\"37874688\"]\n  24 -> 32 [size =\"37874688\"]\n  24 -> 33 [size =\"37874688\"]\n  25 [size=\"97103360\", alpha=\"0.05\", expect_size=\"38841344\"] \n  25 -> 30 [size =\"38841344\"]\n  25 -> 31 [size =\"38841344\"]\n  25 -> 32 [size =\"38841344\"]\n  25 -> 33 [size =\"38841344\"]\n  25 -> 33 [size =\"38841344\"]\n  26 [size=\"54228480\", alpha=\"0.05\", expect_size=\"21691392\"] \n  26 -> 27 [size =\"21691392\"]\n  26 -> 30 [size =\"21691392\"]\n  26 -> 31 [size =\"21691392\"]\n  27 [size=\"124198400\", alpha=\"0.10\", expect_size=\"49679360\"] \n  27 -> 36 [size =\"49679360\"]\n  27 -> 38 [size =\"49679360\"]\n  28 [size=\"113656320\", alpha=\"0.16\", expect_size=\"45462528\"] \n  28 -> 38 [size =\"45462528\"]\n  28 -> 38 [size =\"45462528\"]\n  29 [size=\"97300480\", alpha=\"0.05\", expect_size=\"38920192\"] \n  29 -> 34 [size =\"38920192\"]\n  29 -> 36 [size =\"38920192\"]\n  29 -> 37 [size =\"38920192\"]\n  29 -> 38 [size =\"38920192\"]\n  30 [size=\"84124160\", alpha=\"0.14\", expect_size=\"33649664\"] \n  30 -> 34 [size =\"33649664\"]\n  30 -> 36 [size =\"33649664\"]\n  31 [size=\"107066880\", alpha=\"0.01\", expect_size=\"42826752\"] \n  31 -> 36 [size =\"42826752\"]\n  32 [size=\"51491840\", alpha=\"0.09\", expect_size=\"20596736\"] \n  32 -> 35 [size =\"20596736\"]\n  33 [size=\"109429760\", alpha=\"0.13\", expect_size=\"43771904\"] \n  33 -> 38 [size =\"43771904\"]\n  34 [size=\"80611840\", alpha=\"0.04\", expect_size=\"32244736\"] \n  34 -> 39 [size =\"32244736\"]\n  35 [size=\"103083520\", alpha=\"0.12\", expect_size=\"41233408\"] \n  35 -> 41 [size =\"41233408\"]\n  35 -> 42 [size =\"41233408\"]\n  35 -> 44 [size =\"41233408\"]\n  36 [size=\"14812160\", alpha=\"0.05\", expect_size=\"5924864\"] \n  36 -> 41 [size =\"5924864\"]\n  36 -> 43 [size =\"5924864\"]\n  37 [size=\"46540800\", alpha=\"0.09\", expect_size=\"18616320\"] \n  37 -> 39 [size =\"18616320\"]\n  37 -> 42 [size =\"18616320\"]\n  38 [size=\"108375040\", alpha=\"0.19\", expect_size=\"43350016\"] \n  38 -> 40 [size =\"43350016\"]\n  39 [size=\"82511360\", alpha=\"0.00\", expect_size=\"33004544\"] \n  40 [size=\"109419520\", alpha=\"0.08\", expect_size=\"43767808\"] \n  40 -> 45 [size =\"43767808\"]\n  41 [size=\"75386880\", alpha=\"0.12\", expect_size=\"30154752\"] \n  41 -> 45 [size =\"30154752\"]\n  42 [size=\"81000960\", alpha=\"0.00\", expect_size=\"32400384\"] \n  43 [size=\"17845760\", alpha=\"0.04\", expect_size=\"7138304\"] \n  43 -> 45 [size =\"7138304\"]\n  44 [size=\"92060160\", alpha=\"0.03\", expect_size=\"36824064\"] \n  45 [size=\"117880320\", alpha=\"0.15\", expect_size=\"47152128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64498347\", alpha=\"0.08\", expect_size=\"19349504\"] \n  1 -> 38 [size =\"19349504\"]\n  1 -> 39 [size =\"19349504\"]\n  1 -> 41 [size =\"19349504\"]\n  1 -> 42 [size =\"19349504\"]\n  2 [size=\"63406080\", alpha=\"0.06\", expect_size=\"19021824\"] \n  2 -> 38 [size =\"19021824\"]\n  2 -> 39 [size =\"19021824\"]\n  2 -> 41 [size =\"19021824\"]\n  2 -> 42 [size =\"19021824\"]\n  2 -> 45 [size =\"19021824\"]\n  3 [size=\"85722453\", alpha=\"0.08\", expect_size=\"25716736\"] \n  3 -> 38 [size =\"25716736\"]\n  3 -> 39 [size =\"25716736\"]\n  3 -> 41 [size =\"25716736\"]\n  3 -> 42 [size =\"25716736\"]\n  3 -> 43 [size =\"25716736\"]\n  4 [size=\"26832213\", alpha=\"0.08\", expect_size=\"8049664\"] \n  4 -> 38 [size =\"8049664\"]\n  4 -> 39 [size =\"8049664\"]\n  4 -> 41 [size =\"8049664\"]\n  4 -> 42 [size =\"8049664\"]\n  5 [size=\"121070933\", alpha=\"0.01\", expect_size=\"36321280\"] \n  5 -> 37 [size =\"36321280\"]\n  5 -> 38 [size =\"36321280\"]\n  5 -> 39 [size =\"36321280\"]\n  6 [size=\"51599360\", alpha=\"0.20\", expect_size=\"15479808\"] \n  6 -> 38 [size =\"15479808\"]\n  6 -> 38 [size =\"15479808\"]\n  6 -> 39 [size =\"15479808\"]\n  6 -> 42 [size =\"15479808\"]\n  6 -> 43 [size =\"15479808\"]\n  7 [size=\"102307840\", alpha=\"0.11\", expect_size=\"30692352\"] \n  7 -> 38 [size =\"30692352\"]\n  7 -> 39 [size =\"30692352\"]\n  7 -> 39 [size =\"30692352\"]\n  7 -> 42 [size =\"30692352\"]\n  7 -> 44 [size =\"30692352\"]\n  8 [size=\"50073600\", alpha=\"0.08\", expect_size=\"15022080\"] \n  8 -> 38 [size =\"15022080\"]\n  8 -> 39 [size =\"15022080\"]\n  8 -> 41 [size =\"15022080\"]\n  9 [size=\"130863787\", alpha=\"0.00\", expect_size=\"39259136\"] \n  9 -> 38 [size =\"39259136\"]\n  9 -> 42 [size =\"39259136\"]\n  9 -> 44 [size =\"39259136\"]\n  10 [size=\"159201280\", alpha=\"0.17\", expect_size=\"47760384\"] \n  10 -> 38 [size =\"47760384\"]\n  11 [size=\"134649173\", alpha=\"0.12\", expect_size=\"40394752\"] \n  11 -> 38 [size =\"40394752\"]\n  11 -> 43 [size =\"40394752\"]\n  11 -> 45 [size =\"40394752\"]\n  12 [size=\"37440853\", alpha=\"0.02\", expect_size=\"11232256\"] \n  12 -> 38 [size =\"11232256\"]\n  12 -> 39 [size =\"11232256\"]\n  12 -> 40 [size =\"11232256\"]\n  12 -> 42 [size =\"11232256\"]\n  12 -> 44 [size =\"11232256\"]\n  12 -> 45 [size =\"11232256\"]\n  13 [size=\"82616320\", alpha=\"0.06\", expect_size=\"24784896\"] \n  13 -> 37 [size =\"24784896\"]\n  13 -> 38 [size =\"24784896\"]\n  13 -> 39 [size =\"24784896\"]\n  13 -> 45 [size =\"24784896\"]\n  14 [size=\"146476373\", alpha=\"0.14\", expect_size=\"43942912\"] \n  14 -> 38 [size =\"43942912\"]\n  14 -> 38 [size =\"43942912\"]\n  14 -> 39 [size =\"43942912\"]\n  14 -> 40 [size =\"43942912\"]\n  14 -> 41 [size =\"43942912\"]\n  14 -> 43 [size =\"43942912\"]\n  15 [size=\"55866027\", alpha=\"0.09\", expect_size=\"16759808\"] \n  15 -> 39 [size =\"16759808\"]\n  15 -> 40 [size =\"16759808\"]\n  15 -> 41 [size =\"16759808\"]\n  15 -> 42 [size =\"16759808\"]\n  15 -> 43 [size =\"16759808\"]\n  16 [size=\"64146773\", alpha=\"0.10\", expect_size=\"19244032\"] \n  16 -> 37 [size =\"19244032\"]\n  16 -> 39 [size =\"19244032\"]\n  16 -> 41 [size =\"19244032\"]\n  16 -> 42 [size =\"19244032\"]\n  17 [size=\"63651840\", alpha=\"0.15\", expect_size=\"19095552\"] \n  17 -> 39 [size =\"19095552\"]\n  17 -> 40 [size =\"19095552\"]\n  17 -> 41 [size =\"19095552\"]\n  17 -> 42 [size =\"19095552\"]\n  18 [size=\"146845013\", alpha=\"0.04\", expect_size=\"44053504\"] \n  18 -> 41 [size =\"44053504\"]\n  18 -> 42 [size =\"44053504\"]\n  18 -> 44 [size =\"44053504\"]\n  18 -> 45 [size =\"44053504\"]\n  19 [size=\"56173227\", alpha=\"0.06\", expect_size=\"16851968\"] \n  19 -> 38 [size =\"16851968\"]\n  19 -> 39 [size =\"16851968\"]\n  19 -> 40 [size =\"16851968\"]\n  19 -> 41 [size =\"16851968\"]\n  19 -> 42 [size =\"16851968\"]\n  19 -> 44 [size =\"16851968\"]\n  19 -> 45 [size =\"16851968\"]\n  20 [size=\"58091520\", alpha=\"0.12\", expect_size=\"17427456\"] \n  20 -> 38 [size =\"17427456\"]\n  20 -> 40 [size =\"17427456\"]\n  20 -> 40 [size =\"17427456\"]\n  20 -> 41 [size =\"17427456\"]\n  20 -> 42 [size =\"17427456\"]\n  21 [size=\"36648960\", alpha=\"0.03\", expect_size=\"10994688\"] \n  21 -> 38 [size =\"10994688\"]\n  21 -> 39 [size =\"10994688\"]\n  21 -> 40 [size =\"10994688\"]\n  21 -> 41 [size =\"10994688\"]\n  21 -> 42 [size =\"10994688\"]\n  22 [size=\"128215040\", alpha=\"0.19\", expect_size=\"38464512\"] \n  22 -> 38 [size =\"38464512\"]\n  22 -> 39 [size =\"38464512\"]\n  22 -> 40 [size =\"38464512\"]\n  22 -> 41 [size =\"38464512\"]\n  22 -> 42 [size =\"38464512\"]\n  22 -> 45 [size =\"38464512\"]\n  23 [size=\"141725013\", alpha=\"0.05\", expect_size=\"42517504\"] \n  23 -> 38 [size =\"42517504\"]\n  23 -> 39 [size =\"42517504\"]\n  23 -> 41 [size =\"42517504\"]\n  23 -> 41 [size =\"42517504\"]\n  23 -> 42 [size =\"42517504\"]\n  24 [size=\"29528747\", alpha=\"0.12\", expect_size=\"8858624\"] \n  24 -> 38 [size =\"8858624\"]\n  24 -> 39 [size =\"8858624\"]\n  24 -> 42 [size =\"8858624\"]\n  24 -> 45 [size =\"8858624\"]\n  25 [size=\"142974293\", alpha=\"0.11\", expect_size=\"42892288\"] \n  25 -> 38 [size =\"42892288\"]\n  25 -> 39 [size =\"42892288\"]\n  25 -> 41 [size =\"42892288\"]\n  25 -> 42 [size =\"42892288\"]\n  25 -> 45 [size =\"42892288\"]\n  26 [size=\"56162987\", alpha=\"0.16\", expect_size=\"16848896\"] \n  26 -> 38 [size =\"16848896\"]\n  26 -> 39 [size =\"16848896\"]\n  26 -> 41 [size =\"16848896\"]\n  26 -> 42 [size =\"16848896\"]\n  26 -> 44 [size =\"16848896\"]\n  26 -> 45 [size =\"16848896\"]\n  27 [size=\"136632320\", alpha=\"0.11\", expect_size=\"40989696\"] \n  27 -> 38 [size =\"40989696\"]\n  27 -> 40 [size =\"40989696\"]\n  27 -> 41 [size =\"40989696\"]\n  27 -> 42 [size =\"40989696\"]\n  27 -> 45 [size =\"40989696\"]\n  28 [size=\"98119680\", alpha=\"0.10\", expect_size=\"29435904\"] \n  28 -> 42 [size =\"29435904\"]\n  28 -> 43 [size =\"29435904\"]\n  29 [size=\"126672213\", alpha=\"0.03\", expect_size=\"38001664\"] \n  29 -> 38 [size =\"38001664\"]\n  29 -> 39 [size =\"38001664\"]\n  29 -> 40 [size =\"38001664\"]\n  29 -> 41 [size =\"38001664\"]\n  29 -> 42 [size =\"38001664\"]\n  29 -> 43 [size =\"38001664\"]\n  29 -> 45 [size =\"38001664\"]\n  30 [size=\"20415147\", alpha=\"0.15\", expect_size=\"6124544\"] \n  30 -> 42 [size =\"6124544\"]\n  30 -> 43 [size =\"6124544\"]\n  31 [size=\"110909440\", alpha=\"0.01\", expect_size=\"33272832\"] \n  31 -> 38 [size =\"33272832\"]\n  31 -> 42 [size =\"33272832\"]\n  31 -> 43 [size =\"33272832\"]\n  31 -> 45 [size =\"33272832\"]\n  32 [size=\"130614613\", alpha=\"0.11\", expect_size=\"39184384\"] \n  32 -> 38 [size =\"39184384\"]\n  32 -> 39 [size =\"39184384\"]\n  32 -> 40 [size =\"39184384\"]\n  32 -> 41 [size =\"39184384\"]\n  32 -> 43 [size =\"39184384\"]\n  32 -> 45 [size =\"39184384\"]\n  33 [size=\"125453653\", alpha=\"0.08\", expect_size=\"37636096\"] \n  33 -> 38 [size =\"37636096\"]\n  33 -> 39 [size =\"37636096\"]\n  33 -> 41 [size =\"37636096\"]\n  33 -> 42 [size =\"37636096\"]\n  33 -> 43 [size =\"37636096\"]\n  34 [size=\"163676160\", alpha=\"0.02\", expect_size=\"49102848\"] \n  34 -> 38 [size =\"49102848\"]\n  34 -> 39 [size =\"49102848\"]\n  34 -> 42 [size =\"49102848\"]\n  34 -> 43 [size =\"49102848\"]\n  35 [size=\"97358507\", alpha=\"0.00\", expect_size=\"29207552\"] \n  35 -> 38 [size =\"29207552\"]\n  35 -> 39 [size =\"29207552\"]\n  35 -> 41 [size =\"29207552\"]\n  35 -> 42 [size =\"29207552\"]\n  35 -> 43 [size =\"29207552\"]\n  36 [size=\"30095360\", alpha=\"0.05\", expect_size=\"9028608\"] \n  36 -> 38 [size =\"9028608\"]\n  36 -> 39 [size =\"9028608\"]\n  36 -> 42 [size =\"9028608\"]\n  36 -> 43 [size =\"9028608\"]\n  36 -> 43 [size =\"9028608\"]\n  36 -> 45 [size =\"9028608\"]\n  37 [size=\"153296213\", alpha=\"0.15\", expect_size=\"45988864\"] \n  38 [size=\"79933440\", alpha=\"0.02\", expect_size=\"23980032\"] \n  39 [size=\"157177173\", alpha=\"0.14\", expect_size=\"47153152\"] \n  40 [size=\"26562560\", alpha=\"0.11\", expect_size=\"7968768\"] \n  41 [size=\"144380587\", alpha=\"0.10\", expect_size=\"43314176\"] \n  42 [size=\"155955200\", alpha=\"0.03\", expect_size=\"46786560\"] \n  43 [size=\"81244160\", alpha=\"0.13\", expect_size=\"24373248\"] \n  44 [size=\"142680747\", alpha=\"0.04\", expect_size=\"42804224\"] \n  45 [size=\"154692267\", alpha=\"0.10\", expect_size=\"46407680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39726080\", alpha=\"0.03\", expect_size=\"15890432\"] \n  1 -> 6 [size =\"15890432\"]\n  1 -> 8 [size =\"15890432\"]\n  1 -> 9 [size =\"15890432\"]\n  1 -> 11 [size =\"15890432\"]\n  2 [size=\"86103040\", alpha=\"0.14\", expect_size=\"34441216\"] \n  2 -> 9 [size =\"34441216\"]\n  2 -> 11 [size =\"34441216\"]\n  3 [size=\"62630400\", alpha=\"0.11\", expect_size=\"25052160\"] \n  3 -> 7 [size =\"25052160\"]\n  4 [size=\"67568640\", alpha=\"0.12\", expect_size=\"27027456\"] \n  4 -> 8 [size =\"27027456\"]\n  4 -> 9 [size =\"27027456\"]\n  4 -> 10 [size =\"27027456\"]\n  5 [size=\"81105920\", alpha=\"0.19\", expect_size=\"32442368\"] \n  5 -> 8 [size =\"32442368\"]\n  5 -> 10 [size =\"32442368\"]\n  5 -> 11 [size =\"32442368\"]\n  6 [size=\"25088000\", alpha=\"0.13\", expect_size=\"10035200\"] \n  7 [size=\"105863680\", alpha=\"0.16\", expect_size=\"42345472\"] \n  7 -> 14 [size =\"42345472\"]\n  7 -> 16 [size =\"42345472\"]\n  7 -> 17 [size =\"42345472\"]\n  8 [size=\"116177920\", alpha=\"0.05\", expect_size=\"46471168\"] \n  8 -> 12 [size =\"46471168\"]\n  8 -> 14 [size =\"46471168\"]\n  8 -> 15 [size =\"46471168\"]\n  8 -> 16 [size =\"46471168\"]\n  9 [size=\"97210880\", alpha=\"0.02\", expect_size=\"38884352\"] \n  9 -> 12 [size =\"38884352\"]\n  9 -> 13 [size =\"38884352\"]\n  9 -> 15 [size =\"38884352\"]\n  9 -> 16 [size =\"38884352\"]\n  10 [size=\"117693440\", alpha=\"0.13\", expect_size=\"47077376\"] \n  10 -> 12 [size =\"47077376\"]\n  10 -> 14 [size =\"47077376\"]\n  10 -> 15 [size =\"47077376\"]\n  11 [size=\"79700480\", alpha=\"0.18\", expect_size=\"31880192\"] \n  11 -> 12 [size =\"31880192\"]\n  11 -> 13 [size =\"31880192\"]\n  11 -> 15 [size =\"31880192\"]\n  11 -> 16 [size =\"31880192\"]\n  11 -> 17 [size =\"31880192\"]\n  12 [size=\"97681920\", alpha=\"0.03\", expect_size=\"39072768\"] \n  12 -> 21 [size =\"39072768\"]\n  12 -> 22 [size =\"39072768\"]\n  13 [size=\"64314880\", alpha=\"0.13\", expect_size=\"25725952\"] \n  13 -> 18 [size =\"25725952\"]\n  13 -> 20 [size =\"25725952\"]\n  13 -> 21 [size =\"25725952\"]\n  13 -> 22 [size =\"25725952\"]\n  13 -> 23 [size =\"25725952\"]\n  14 [size=\"13708800\", alpha=\"0.11\", expect_size=\"5483520\"] \n  14 -> 18 [size =\"5483520\"]\n  14 -> 20 [size =\"5483520\"]\n  14 -> 23 [size =\"5483520\"]\n  15 [size=\"83402240\", alpha=\"0.13\", expect_size=\"33360896\"] \n  15 -> 19 [size =\"33360896\"]\n  15 -> 23 [size =\"33360896\"]\n  16 [size=\"75745280\", alpha=\"0.16\", expect_size=\"30298112\"] \n  17 [size=\"32343040\", alpha=\"0.20\", expect_size=\"12937216\"] \n  17 -> 18 [size =\"12937216\"]\n  17 -> 20 [size =\"12937216\"]\n  17 -> 21 [size =\"12937216\"]\n  17 -> 23 [size =\"12937216\"]\n  18 [size=\"125120000\", alpha=\"0.15\", expect_size=\"50048000\"] \n  18 -> 25 [size =\"50048000\"]\n  18 -> 26 [size =\"50048000\"]\n  18 -> 28 [size =\"50048000\"]\n  19 [size=\"37137920\", alpha=\"0.09\", expect_size=\"14855168\"] \n  19 -> 24 [size =\"14855168\"]\n  19 -> 28 [size =\"14855168\"]\n  20 [size=\"49082880\", alpha=\"0.03\", expect_size=\"19633152\"] \n  20 -> 27 [size =\"19633152\"]\n  21 [size=\"127372800\", alpha=\"0.02\", expect_size=\"50949120\"] \n  21 -> 24 [size =\"50949120\"]\n  21 -> 25 [size =\"50949120\"]\n  21 -> 26 [size =\"50949120\"]\n  21 -> 27 [size =\"50949120\"]\n  21 -> 28 [size =\"50949120\"]\n  22 [size=\"113671680\", alpha=\"0.14\", expect_size=\"45468672\"] \n  22 -> 26 [size =\"45468672\"]\n  22 -> 27 [size =\"45468672\"]\n  23 [size=\"129569280\", alpha=\"0.14\", expect_size=\"51827712\"] \n  23 -> 26 [size =\"51827712\"]\n  24 [size=\"89226240\", alpha=\"0.03\", expect_size=\"35690496\"] \n  24 -> 30 [size =\"35690496\"]\n  24 -> 31 [size =\"35690496\"]\n  25 [size=\"35601920\", alpha=\"0.04\", expect_size=\"14240768\"] \n  25 -> 29 [size =\"14240768\"]\n  25 -> 32 [size =\"14240768\"]\n  25 -> 33 [size =\"14240768\"]\n  26 [size=\"109378560\", alpha=\"0.06\", expect_size=\"43751424\"] \n  26 -> 29 [size =\"43751424\"]\n  26 -> 30 [size =\"43751424\"]\n  26 -> 32 [size =\"43751424\"]\n  26 -> 33 [size =\"43751424\"]\n  27 [size=\"83832320\", alpha=\"0.05\", expect_size=\"33532928\"] \n  27 -> 29 [size =\"33532928\"]\n  27 -> 30 [size =\"33532928\"]\n  27 -> 31 [size =\"33532928\"]\n  27 -> 32 [size =\"33532928\"]\n  28 [size=\"83304960\", alpha=\"0.01\", expect_size=\"33321984\"] \n  29 [size=\"53452800\", alpha=\"0.11\", expect_size=\"21381120\"] \n  29 -> 36 [size =\"21381120\"]\n  29 -> 38 [size =\"21381120\"]\n  30 [size=\"103690240\", alpha=\"0.19\", expect_size=\"41476096\"] \n  30 -> 34 [size =\"41476096\"]\n  30 -> 36 [size =\"41476096\"]\n  30 -> 37 [size =\"41476096\"]\n  30 -> 38 [size =\"41476096\"]\n  31 [size=\"122347520\", alpha=\"0.18\", expect_size=\"48939008\"] \n  31 -> 39 [size =\"48939008\"]\n  32 [size=\"18081280\", alpha=\"0.12\", expect_size=\"7232512\"] \n  32 -> 34 [size =\"7232512\"]\n  32 -> 35 [size =\"7232512\"]\n  33 [size=\"99811840\", alpha=\"0.14\", expect_size=\"39924736\"] \n  33 -> 34 [size =\"39924736\"]\n  33 -> 39 [size =\"39924736\"]\n  34 [size=\"63173120\", alpha=\"0.16\", expect_size=\"25269248\"] \n  34 -> 40 [size =\"25269248\"]\n  34 -> 41 [size =\"25269248\"]\n  34 -> 43 [size =\"25269248\"]\n  35 [size=\"80591360\", alpha=\"0.10\", expect_size=\"32236544\"] \n  35 -> 40 [size =\"32236544\"]\n  35 -> 41 [size =\"32236544\"]\n  35 -> 42 [size =\"32236544\"]\n  36 [size=\"102097920\", alpha=\"0.15\", expect_size=\"40839168\"] \n  36 -> 40 [size =\"40839168\"]\n  36 -> 42 [size =\"40839168\"]\n  37 [size=\"21716480\", alpha=\"0.03\", expect_size=\"8686592\"] \n  37 -> 42 [size =\"8686592\"]\n  37 -> 44 [size =\"8686592\"]\n  37 -> 45 [size =\"8686592\"]\n  38 [size=\"50163200\", alpha=\"0.11\", expect_size=\"20065280\"] \n  38 -> 41 [size =\"20065280\"]\n  38 -> 42 [size =\"20065280\"]\n  39 [size=\"54586880\", alpha=\"0.02\", expect_size=\"21834752\"] \n  39 -> 40 [size =\"21834752\"]\n  39 -> 41 [size =\"21834752\"]\n  39 -> 43 [size =\"21834752\"]\n  39 -> 44 [size =\"21834752\"]\n  39 -> 45 [size =\"21834752\"]\n  40 [size=\"119088640\", alpha=\"0.19\", expect_size=\"47635456\"] \n  41 [size=\"112330240\", alpha=\"0.16\", expect_size=\"44932096\"] \n  42 [size=\"100907520\", alpha=\"0.09\", expect_size=\"40363008\"] \n  43 [size=\"51430400\", alpha=\"0.03\", expect_size=\"20572160\"] \n  44 [size=\"15109120\", alpha=\"0.09\", expect_size=\"6043648\"] \n  45 [size=\"110510080\", alpha=\"0.19\", expect_size=\"44204032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52359168\", alpha=\"0.13\", expect_size=\"26179584\"] \n  1 -> 4 [size =\"26179584\"]\n  2 [size=\"90136576\", alpha=\"0.09\", expect_size=\"45068288\"] \n  2 -> 3 [size =\"45068288\"]\n  2 -> 4 [size =\"45068288\"]\n  3 [size=\"45907968\", alpha=\"0.02\", expect_size=\"22953984\"] \n  3 -> 5 [size =\"22953984\"]\n  3 -> 6 [size =\"22953984\"]\n  3 -> 7 [size =\"22953984\"]\n  4 [size=\"12455936\", alpha=\"0.00\", expect_size=\"6227968\"] \n  4 -> 5 [size =\"6227968\"]\n  4 -> 6 [size =\"6227968\"]\n  5 [size=\"54509568\", alpha=\"0.04\", expect_size=\"27254784\"] \n  5 -> 8 [size =\"27254784\"]\n  5 -> 9 [size =\"27254784\"]\n  5 -> 10 [size =\"27254784\"]\n  6 [size=\"45068288\", alpha=\"0.08\", expect_size=\"22534144\"] \n  6 -> 10 [size =\"22534144\"]\n  7 [size=\"66625536\", alpha=\"0.06\", expect_size=\"33312768\"] \n  7 -> 9 [size =\"33312768\"]\n  8 [size=\"23085056\", alpha=\"0.14\", expect_size=\"11542528\"] \n  8 -> 12 [size =\"11542528\"]\n  9 [size=\"58548224\", alpha=\"0.05\", expect_size=\"29274112\"] \n  9 -> 11 [size =\"29274112\"]\n  10 [size=\"23908352\", alpha=\"0.13\", expect_size=\"11954176\"] \n  10 -> 11 [size =\"11954176\"]\n  10 -> 12 [size =\"11954176\"]\n  11 [size=\"93270016\", alpha=\"0.19\", expect_size=\"46635008\"] \n  11 -> 14 [size =\"46635008\"]\n  12 [size=\"62294016\", alpha=\"0.08\", expect_size=\"31147008\"] \n  12 -> 13 [size =\"31147008\"]\n  12 -> 14 [size =\"31147008\"]\n  13 [size=\"103358464\", alpha=\"0.15\", expect_size=\"51679232\"] \n  13 -> 15 [size =\"51679232\"]\n  13 -> 16 [size =\"51679232\"]\n  14 [size=\"20666368\", alpha=\"0.19\", expect_size=\"10333184\"] \n  14 -> 16 [size =\"10333184\"]\n  15 [size=\"21565440\", alpha=\"0.04\", expect_size=\"10782720\"] \n  15 -> 17 [size =\"10782720\"]\n  15 -> 18 [size =\"10782720\"]\n  15 -> 19 [size =\"10782720\"]\n  16 [size=\"38242304\", alpha=\"0.07\", expect_size=\"19121152\"] \n  16 -> 17 [size =\"19121152\"]\n  16 -> 18 [size =\"19121152\"]\n  17 [size=\"78215168\", alpha=\"0.13\", expect_size=\"39107584\"] \n  17 -> 21 [size =\"39107584\"]\n  17 -> 22 [size =\"39107584\"]\n  18 [size=\"11900928\", alpha=\"0.17\", expect_size=\"5950464\"] \n  18 -> 20 [size =\"5950464\"]\n  18 -> 21 [size =\"5950464\"]\n  19 [size=\"79697920\", alpha=\"0.06\", expect_size=\"39848960\"] \n  19 -> 20 [size =\"39848960\"]\n  19 -> 21 [size =\"39848960\"]\n  20 [size=\"102494208\", alpha=\"0.08\", expect_size=\"51247104\"] \n  20 -> 23 [size =\"51247104\"]\n  20 -> 24 [size =\"51247104\"]\n  20 -> 25 [size =\"51247104\"]\n  21 [size=\"69720064\", alpha=\"0.18\", expect_size=\"34860032\"] \n  21 -> 23 [size =\"34860032\"]\n  21 -> 24 [size =\"34860032\"]\n  21 -> 25 [size =\"34860032\"]\n  22 [size=\"66703360\", alpha=\"0.06\", expect_size=\"33351680\"] \n  22 -> 25 [size =\"33351680\"]\n  23 [size=\"104144896\", alpha=\"0.00\", expect_size=\"52072448\"] \n  23 -> 26 [size =\"52072448\"]\n  23 -> 27 [size =\"52072448\"]\n  24 [size=\"82653184\", alpha=\"0.16\", expect_size=\"41326592\"] \n  25 [size=\"79060992\", alpha=\"0.00\", expect_size=\"39530496\"] \n  25 -> 27 [size =\"39530496\"]\n  26 [size=\"99684352\", alpha=\"0.12\", expect_size=\"49842176\"] \n  26 -> 28 [size =\"49842176\"]\n  27 [size=\"36653056\", alpha=\"0.16\", expect_size=\"18326528\"] \n  27 -> 28 [size =\"18326528\"]\n  27 -> 29 [size =\"18326528\"]\n  28 [size=\"99809280\", alpha=\"0.02\", expect_size=\"49904640\"] \n  28 -> 30 [size =\"49904640\"]\n  28 -> 31 [size =\"49904640\"]\n  29 [size=\"87879680\", alpha=\"0.19\", expect_size=\"43939840\"] \n  29 -> 31 [size =\"43939840\"]\n  30 [size=\"22894592\", alpha=\"0.19\", expect_size=\"11447296\"] \n  30 -> 33 [size =\"11447296\"]\n  30 -> 34 [size =\"11447296\"]\n  31 [size=\"59731968\", alpha=\"0.16\", expect_size=\"29865984\"] \n  31 -> 32 [size =\"29865984\"]\n  31 -> 34 [size =\"29865984\"]\n  32 [size=\"51523584\", alpha=\"0.04\", expect_size=\"25761792\"] \n  32 -> 35 [size =\"25761792\"]\n  32 -> 37 [size =\"25761792\"]\n  33 [size=\"77920256\", alpha=\"0.12\", expect_size=\"38960128\"] \n  33 -> 35 [size =\"38960128\"]\n  33 -> 36 [size =\"38960128\"]\n  34 [size=\"79972352\", alpha=\"0.01\", expect_size=\"39986176\"] \n  34 -> 36 [size =\"39986176\"]\n  35 [size=\"59652096\", alpha=\"0.14\", expect_size=\"29826048\"] \n  35 -> 39 [size =\"29826048\"]\n  35 -> 40 [size =\"29826048\"]\n  36 [size=\"60979200\", alpha=\"0.12\", expect_size=\"30489600\"] \n  36 -> 38 [size =\"30489600\"]\n  36 -> 39 [size =\"30489600\"]\n  37 [size=\"24170496\", alpha=\"0.04\", expect_size=\"12085248\"] \n  37 -> 38 [size =\"12085248\"]\n  37 -> 39 [size =\"12085248\"]\n  38 [size=\"99733504\", alpha=\"0.17\", expect_size=\"49866752\"] \n  38 -> 42 [size =\"49866752\"]\n  39 [size=\"17156096\", alpha=\"0.04\", expect_size=\"8578048\"] \n  39 -> 41 [size =\"8578048\"]\n  39 -> 42 [size =\"8578048\"]\n  40 [size=\"13242368\", alpha=\"0.11\", expect_size=\"6621184\"] \n  40 -> 41 [size =\"6621184\"]\n  41 [size=\"101419008\", alpha=\"0.11\", expect_size=\"50709504\"] \n  41 -> 43 [size =\"50709504\"]\n  41 -> 45 [size =\"50709504\"]\n  42 [size=\"81352704\", alpha=\"0.02\", expect_size=\"40676352\"] \n  42 -> 43 [size =\"40676352\"]\n  42 -> 44 [size =\"40676352\"]\n  43 [size=\"99229696\", alpha=\"0.13\", expect_size=\"49614848\"] \n  44 [size=\"59174912\", alpha=\"0.00\", expect_size=\"29587456\"] \n  45 [size=\"65744896\", alpha=\"0.01\", expect_size=\"32872448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95617707\", alpha=\"0.03\", expect_size=\"28685312\"] \n  1 -> 23 [size =\"28685312\"]\n  1 -> 26 [size =\"28685312\"]\n  1 -> 28 [size =\"28685312\"]\n  1 -> 29 [size =\"28685312\"]\n  1 -> 29 [size =\"28685312\"]\n  1 -> 32 [size =\"28685312\"]\n  1 -> 34 [size =\"28685312\"]\n  2 [size=\"166147413\", alpha=\"0.03\", expect_size=\"49844224\"] \n  2 -> 18 [size =\"49844224\"]\n  2 -> 20 [size =\"49844224\"]\n  2 -> 22 [size =\"49844224\"]\n  2 -> 23 [size =\"49844224\"]\n  2 -> 28 [size =\"49844224\"]\n  2 -> 29 [size =\"49844224\"]\n  2 -> 30 [size =\"49844224\"]\n  2 -> 34 [size =\"49844224\"]\n  2 -> 35 [size =\"49844224\"]\n  2 -> 36 [size =\"49844224\"]\n  3 [size=\"101823147\", alpha=\"0.14\", expect_size=\"30546944\"] \n  3 -> 22 [size =\"30546944\"]\n  3 -> 23 [size =\"30546944\"]\n  3 -> 25 [size =\"30546944\"]\n  3 -> 31 [size =\"30546944\"]\n  3 -> 32 [size =\"30546944\"]\n  3 -> 33 [size =\"30546944\"]\n  3 -> 36 [size =\"30546944\"]\n  4 [size=\"23108267\", alpha=\"0.12\", expect_size=\"6932480\"] \n  4 -> 18 [size =\"6932480\"]\n  4 -> 22 [size =\"6932480\"]\n  4 -> 23 [size =\"6932480\"]\n  4 -> 25 [size =\"6932480\"]\n  4 -> 27 [size =\"6932480\"]\n  4 -> 28 [size =\"6932480\"]\n  4 -> 29 [size =\"6932480\"]\n  4 -> 31 [size =\"6932480\"]\n  4 -> 32 [size =\"6932480\"]\n  4 -> 33 [size =\"6932480\"]\n  4 -> 34 [size =\"6932480\"]\n  4 -> 36 [size =\"6932480\"]\n  5 [size=\"105601707\", alpha=\"0.05\", expect_size=\"31680512\"] \n  5 -> 18 [size =\"31680512\"]\n  5 -> 19 [size =\"31680512\"]\n  5 -> 22 [size =\"31680512\"]\n  5 -> 23 [size =\"31680512\"]\n  5 -> 25 [size =\"31680512\"]\n  5 -> 29 [size =\"31680512\"]\n  5 -> 31 [size =\"31680512\"]\n  5 -> 32 [size =\"31680512\"]\n  5 -> 32 [size =\"31680512\"]\n  5 -> 34 [size =\"31680512\"]\n  5 -> 36 [size =\"31680512\"]\n  5 -> 36 [size =\"31680512\"]\n  6 [size=\"69410133\", alpha=\"0.06\", expect_size=\"20823040\"] \n  6 -> 18 [size =\"20823040\"]\n  6 -> 25 [size =\"20823040\"]\n  6 -> 28 [size =\"20823040\"]\n  6 -> 31 [size =\"20823040\"]\n  6 -> 34 [size =\"20823040\"]\n  6 -> 36 [size =\"20823040\"]\n  6 -> 37 [size =\"20823040\"]\n  7 [size=\"88681813\", alpha=\"0.14\", expect_size=\"26604544\"] \n  7 -> 18 [size =\"26604544\"]\n  7 -> 23 [size =\"26604544\"]\n  7 -> 25 [size =\"26604544\"]\n  7 -> 28 [size =\"26604544\"]\n  7 -> 29 [size =\"26604544\"]\n  7 -> 34 [size =\"26604544\"]\n  7 -> 36 [size =\"26604544\"]\n  8 [size=\"148807680\", alpha=\"0.01\", expect_size=\"44642304\"] \n  8 -> 18 [size =\"44642304\"]\n  8 -> 23 [size =\"44642304\"]\n  8 -> 24 [size =\"44642304\"]\n  8 -> 26 [size =\"44642304\"]\n  8 -> 29 [size =\"44642304\"]\n  8 -> 31 [size =\"44642304\"]\n  8 -> 34 [size =\"44642304\"]\n  8 -> 36 [size =\"44642304\"]\n  8 -> 37 [size =\"44642304\"]\n  9 [size=\"82356907\", alpha=\"0.13\", expect_size=\"24707072\"] \n  9 -> 18 [size =\"24707072\"]\n  9 -> 20 [size =\"24707072\"]\n  9 -> 23 [size =\"24707072\"]\n  9 -> 25 [size =\"24707072\"]\n  9 -> 26 [size =\"24707072\"]\n  9 -> 27 [size =\"24707072\"]\n  9 -> 28 [size =\"24707072\"]\n  9 -> 29 [size =\"24707072\"]\n  9 -> 31 [size =\"24707072\"]\n  9 -> 34 [size =\"24707072\"]\n  9 -> 36 [size =\"24707072\"]\n  10 [size=\"127467520\", alpha=\"0.13\", expect_size=\"38240256\"] \n  10 -> 18 [size =\"38240256\"]\n  10 -> 19 [size =\"38240256\"]\n  10 -> 20 [size =\"38240256\"]\n  10 -> 21 [size =\"38240256\"]\n  10 -> 26 [size =\"38240256\"]\n  10 -> 28 [size =\"38240256\"]\n  10 -> 29 [size =\"38240256\"]\n  10 -> 29 [size =\"38240256\"]\n  10 -> 34 [size =\"38240256\"]\n  10 -> 36 [size =\"38240256\"]\n  10 -> 37 [size =\"38240256\"]\n  11 [size=\"49653760\", alpha=\"0.05\", expect_size=\"14896128\"] \n  11 -> 18 [size =\"14896128\"]\n  11 -> 26 [size =\"14896128\"]\n  11 -> 28 [size =\"14896128\"]\n  11 -> 34 [size =\"14896128\"]\n  11 -> 35 [size =\"14896128\"]\n  11 -> 36 [size =\"14896128\"]\n  11 -> 37 [size =\"14896128\"]\n  12 [size=\"76400640\", alpha=\"0.14\", expect_size=\"22920192\"] \n  12 -> 18 [size =\"22920192\"]\n  12 -> 21 [size =\"22920192\"]\n  12 -> 23 [size =\"22920192\"]\n  12 -> 26 [size =\"22920192\"]\n  12 -> 28 [size =\"22920192\"]\n  12 -> 29 [size =\"22920192\"]\n  12 -> 33 [size =\"22920192\"]\n  12 -> 35 [size =\"22920192\"]\n  12 -> 36 [size =\"22920192\"]\n  12 -> 37 [size =\"22920192\"]\n  13 [size=\"99908267\", alpha=\"0.13\", expect_size=\"29972480\"] \n  13 -> 18 [size =\"29972480\"]\n  13 -> 22 [size =\"29972480\"]\n  13 -> 23 [size =\"29972480\"]\n  13 -> 26 [size =\"29972480\"]\n  13 -> 28 [size =\"29972480\"]\n  13 -> 29 [size =\"29972480\"]\n  13 -> 30 [size =\"29972480\"]\n  13 -> 32 [size =\"29972480\"]\n  13 -> 35 [size =\"29972480\"]\n  13 -> 36 [size =\"29972480\"]\n  13 -> 37 [size =\"29972480\"]\n  14 [size=\"52609707\", alpha=\"0.05\", expect_size=\"15782912\"] \n  14 -> 18 [size =\"15782912\"]\n  14 -> 22 [size =\"15782912\"]\n  14 -> 23 [size =\"15782912\"]\n  14 -> 25 [size =\"15782912\"]\n  14 -> 28 [size =\"15782912\"]\n  14 -> 29 [size =\"15782912\"]\n  14 -> 32 [size =\"15782912\"]\n  14 -> 32 [size =\"15782912\"]\n  14 -> 35 [size =\"15782912\"]\n  14 -> 36 [size =\"15782912\"]\n  14 -> 37 [size =\"15782912\"]\n  15 [size=\"149439147\", alpha=\"0.11\", expect_size=\"44831744\"] \n  15 -> 18 [size =\"44831744\"]\n  15 -> 22 [size =\"44831744\"]\n  15 -> 28 [size =\"44831744\"]\n  15 -> 29 [size =\"44831744\"]\n  15 -> 32 [size =\"44831744\"]\n  15 -> 35 [size =\"44831744\"]\n  15 -> 36 [size =\"44831744\"]\n  15 -> 37 [size =\"44831744\"]\n  16 [size=\"33471147\", alpha=\"0.03\", expect_size=\"10041344\"] \n  16 -> 22 [size =\"10041344\"]\n  16 -> 22 [size =\"10041344\"]\n  16 -> 28 [size =\"10041344\"]\n  16 -> 29 [size =\"10041344\"]\n  16 -> 31 [size =\"10041344\"]\n  16 -> 32 [size =\"10041344\"]\n  16 -> 34 [size =\"10041344\"]\n  16 -> 35 [size =\"10041344\"]\n  16 -> 37 [size =\"10041344\"]\n  17 [size=\"83053227\", alpha=\"0.00\", expect_size=\"24915968\"] \n  17 -> 18 [size =\"24915968\"]\n  17 -> 22 [size =\"24915968\"]\n  17 -> 25 [size =\"24915968\"]\n  17 -> 27 [size =\"24915968\"]\n  17 -> 29 [size =\"24915968\"]\n  17 -> 32 [size =\"24915968\"]\n  17 -> 34 [size =\"24915968\"]\n  17 -> 35 [size =\"24915968\"]\n  17 -> 36 [size =\"24915968\"]\n  18 [size=\"32027307\", alpha=\"0.17\", expect_size=\"9608192\"] \n  18 -> 41 [size =\"9608192\"]\n  18 -> 42 [size =\"9608192\"]\n  19 [size=\"38451200\", alpha=\"0.14\", expect_size=\"11535360\"] \n  19 -> 38 [size =\"11535360\"]\n  19 -> 39 [size =\"11535360\"]\n  19 -> 40 [size =\"11535360\"]\n  19 -> 41 [size =\"11535360\"]\n  19 -> 42 [size =\"11535360\"]\n  19 -> 43 [size =\"11535360\"]\n  19 -> 45 [size =\"11535360\"]\n  20 [size=\"138147840\", alpha=\"0.07\", expect_size=\"41444352\"] \n  20 -> 39 [size =\"41444352\"]\n  20 -> 40 [size =\"41444352\"]\n  20 -> 41 [size =\"41444352\"]\n  20 -> 41 [size =\"41444352\"]\n  20 -> 42 [size =\"41444352\"]\n  20 -> 43 [size =\"41444352\"]\n  21 [size=\"79336107\", alpha=\"0.10\", expect_size=\"23800832\"] \n  21 -> 38 [size =\"23800832\"]\n  21 -> 40 [size =\"23800832\"]\n  21 -> 41 [size =\"23800832\"]\n  21 -> 43 [size =\"23800832\"]\n  22 [size=\"117036373\", alpha=\"0.12\", expect_size=\"35110912\"] \n  22 -> 40 [size =\"35110912\"]\n  22 -> 40 [size =\"35110912\"]\n  22 -> 41 [size =\"35110912\"]\n  22 -> 42 [size =\"35110912\"]\n  22 -> 43 [size =\"35110912\"]\n  23 [size=\"70150827\", alpha=\"0.05\", expect_size=\"21045248\"] \n  23 -> 38 [size =\"21045248\"]\n  23 -> 39 [size =\"21045248\"]\n  23 -> 41 [size =\"21045248\"]\n  23 -> 42 [size =\"21045248\"]\n  24 [size=\"170820267\", alpha=\"0.18\", expect_size=\"51246080\"] \n  24 -> 38 [size =\"51246080\"]\n  24 -> 40 [size =\"51246080\"]\n  24 -> 41 [size =\"51246080\"]\n  24 -> 42 [size =\"51246080\"]\n  24 -> 43 [size =\"51246080\"]\n  24 -> 45 [size =\"51246080\"]\n  25 [size=\"55145813\", alpha=\"0.03\", expect_size=\"16543744\"] \n  25 -> 39 [size =\"16543744\"]\n  25 -> 40 [size =\"16543744\"]\n  25 -> 41 [size =\"16543744\"]\n  26 [size=\"139516587\", alpha=\"0.14\", expect_size=\"41854976\"] \n  26 -> 39 [size =\"41854976\"]\n  26 -> 40 [size =\"41854976\"]\n  26 -> 41 [size =\"41854976\"]\n  26 -> 45 [size =\"41854976\"]\n  27 [size=\"166656000\", alpha=\"0.14\", expect_size=\"49996800\"] \n  27 -> 38 [size =\"49996800\"]\n  27 -> 41 [size =\"49996800\"]\n  27 -> 45 [size =\"49996800\"]\n  28 [size=\"167236267\", alpha=\"0.11\", expect_size=\"50170880\"] \n  28 -> 39 [size =\"50170880\"]\n  28 -> 40 [size =\"50170880\"]\n  28 -> 41 [size =\"50170880\"]\n  28 -> 42 [size =\"50170880\"]\n  28 -> 43 [size =\"50170880\"]\n  28 -> 45 [size =\"50170880\"]\n  29 [size=\"141168640\", alpha=\"0.16\", expect_size=\"42350592\"] \n  29 -> 39 [size =\"42350592\"]\n  29 -> 40 [size =\"42350592\"]\n  29 -> 42 [size =\"42350592\"]\n  29 -> 43 [size =\"42350592\"]\n  29 -> 44 [size =\"42350592\"]\n  29 -> 45 [size =\"42350592\"]\n  30 [size=\"94781440\", alpha=\"0.15\", expect_size=\"28434432\"] \n  30 -> 40 [size =\"28434432\"]\n  30 -> 41 [size =\"28434432\"]\n  30 -> 44 [size =\"28434432\"]\n  30 -> 45 [size =\"28434432\"]\n  31 [size=\"151272107\", alpha=\"0.19\", expect_size=\"45381632\"] \n  31 -> 38 [size =\"45381632\"]\n  31 -> 39 [size =\"45381632\"]\n  31 -> 41 [size =\"45381632\"]\n  31 -> 43 [size =\"45381632\"]\n  32 [size=\"74209280\", alpha=\"0.09\", expect_size=\"22262784\"] \n  32 -> 38 [size =\"22262784\"]\n  32 -> 39 [size =\"22262784\"]\n  32 -> 40 [size =\"22262784\"]\n  32 -> 41 [size =\"22262784\"]\n  32 -> 43 [size =\"22262784\"]\n  33 [size=\"169553920\", alpha=\"0.11\", expect_size=\"50866176\"] \n  33 -> 38 [size =\"50866176\"]\n  33 -> 39 [size =\"50866176\"]\n  33 -> 40 [size =\"50866176\"]\n  34 [size=\"49797120\", alpha=\"0.16\", expect_size=\"14939136\"] \n  34 -> 38 [size =\"14939136\"]\n  34 -> 40 [size =\"14939136\"]\n  34 -> 42 [size =\"14939136\"]\n  34 -> 43 [size =\"14939136\"]\n  34 -> 45 [size =\"14939136\"]\n  35 [size=\"35140267\", alpha=\"0.19\", expect_size=\"10542080\"] \n  35 -> 38 [size =\"10542080\"]\n  35 -> 40 [size =\"10542080\"]\n  35 -> 42 [size =\"10542080\"]\n  35 -> 43 [size =\"10542080\"]\n  36 [size=\"56429227\", alpha=\"0.03\", expect_size=\"16928768\"] \n  36 -> 40 [size =\"16928768\"]\n  36 -> 40 [size =\"16928768\"]\n  36 -> 41 [size =\"16928768\"]\n  36 -> 42 [size =\"16928768\"]\n  36 -> 43 [size =\"16928768\"]\n  36 -> 45 [size =\"16928768\"]\n  37 [size=\"165601280\", alpha=\"0.16\", expect_size=\"49680384\"] \n  37 -> 38 [size =\"49680384\"]\n  37 -> 39 [size =\"49680384\"]\n  38 [size=\"119289173\", alpha=\"0.11\", expect_size=\"35786752\"] \n  39 [size=\"48831147\", alpha=\"0.08\", expect_size=\"14649344\"] \n  40 [size=\"19104427\", alpha=\"0.01\", expect_size=\"5731328\"] \n  41 [size=\"140100267\", alpha=\"0.02\", expect_size=\"42030080\"] \n  42 [size=\"129433600\", alpha=\"0.15\", expect_size=\"38830080\"] \n  43 [size=\"46021973\", alpha=\"0.15\", expect_size=\"13806592\"] \n  44 [size=\"129594027\", alpha=\"0.14\", expect_size=\"38878208\"] \n  45 [size=\"100710400\", alpha=\"0.18\", expect_size=\"30213120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55955456\", alpha=\"0.03\", expect_size=\"27977728\"] \n  1 -> 18 [size =\"27977728\"]\n  1 -> 21 [size =\"27977728\"]\n  1 -> 23 [size =\"27977728\"]\n  2 [size=\"15439872\", alpha=\"0.04\", expect_size=\"7719936\"] \n  2 -> 17 [size =\"7719936\"]\n  2 -> 18 [size =\"7719936\"]\n  2 -> 23 [size =\"7719936\"]\n  2 -> 27 [size =\"7719936\"]\n  3 [size=\"100831232\", alpha=\"0.17\", expect_size=\"50415616\"] \n  3 -> 16 [size =\"50415616\"]\n  3 -> 17 [size =\"50415616\"]\n  3 -> 19 [size =\"50415616\"]\n  3 -> 29 [size =\"50415616\"]\n  4 [size=\"32040960\", alpha=\"0.20\", expect_size=\"16020480\"] \n  4 -> 18 [size =\"16020480\"]\n  4 -> 19 [size =\"16020480\"]\n  4 -> 22 [size =\"16020480\"]\n  4 -> 26 [size =\"16020480\"]\n  4 -> 27 [size =\"16020480\"]\n  5 [size=\"70455296\", alpha=\"0.14\", expect_size=\"35227648\"] \n  5 -> 16 [size =\"35227648\"]\n  5 -> 17 [size =\"35227648\"]\n  5 -> 18 [size =\"35227648\"]\n  5 -> 23 [size =\"35227648\"]\n  5 -> 27 [size =\"35227648\"]\n  6 [size=\"101109760\", alpha=\"0.11\", expect_size=\"50554880\"] \n  6 -> 21 [size =\"50554880\"]\n  7 [size=\"80066560\", alpha=\"0.16\", expect_size=\"40033280\"] \n  7 -> 16 [size =\"40033280\"]\n  7 -> 17 [size =\"40033280\"]\n  7 -> 21 [size =\"40033280\"]\n  7 -> 22 [size =\"40033280\"]\n  7 -> 23 [size =\"40033280\"]\n  7 -> 25 [size =\"40033280\"]\n  8 [size=\"85014528\", alpha=\"0.06\", expect_size=\"42507264\"] \n  8 -> 16 [size =\"42507264\"]\n  8 -> 19 [size =\"42507264\"]\n  8 -> 25 [size =\"42507264\"]\n  8 -> 27 [size =\"42507264\"]\n  8 -> 28 [size =\"42507264\"]\n  8 -> 29 [size =\"42507264\"]\n  9 [size=\"15806464\", alpha=\"0.09\", expect_size=\"7903232\"] \n  9 -> 16 [size =\"7903232\"]\n  9 -> 19 [size =\"7903232\"]\n  9 -> 21 [size =\"7903232\"]\n  9 -> 25 [size =\"7903232\"]\n  9 -> 27 [size =\"7903232\"]\n  10 [size=\"15800320\", alpha=\"0.11\", expect_size=\"7900160\"] \n  10 -> 19 [size =\"7900160\"]\n  10 -> 20 [size =\"7900160\"]\n  10 -> 27 [size =\"7900160\"]\n  11 [size=\"28712960\", alpha=\"0.13\", expect_size=\"14356480\"] \n  11 -> 16 [size =\"14356480\"]\n  11 -> 20 [size =\"14356480\"]\n  11 -> 22 [size =\"14356480\"]\n  11 -> 23 [size =\"14356480\"]\n  11 -> 24 [size =\"14356480\"]\n  11 -> 27 [size =\"14356480\"]\n  11 -> 29 [size =\"14356480\"]\n  12 [size=\"44470272\", alpha=\"0.18\", expect_size=\"22235136\"] \n  12 -> 16 [size =\"22235136\"]\n  12 -> 19 [size =\"22235136\"]\n  12 -> 20 [size =\"22235136\"]\n  12 -> 29 [size =\"22235136\"]\n  13 [size=\"63836160\", alpha=\"0.09\", expect_size=\"31918080\"] \n  13 -> 17 [size =\"31918080\"]\n  13 -> 18 [size =\"31918080\"]\n  13 -> 22 [size =\"31918080\"]\n  13 -> 23 [size =\"31918080\"]\n  13 -> 25 [size =\"31918080\"]\n  14 [size=\"48537600\", alpha=\"0.01\", expect_size=\"24268800\"] \n  14 -> 16 [size =\"24268800\"]\n  14 -> 17 [size =\"24268800\"]\n  14 -> 18 [size =\"24268800\"]\n  14 -> 23 [size =\"24268800\"]\n  14 -> 29 [size =\"24268800\"]\n  15 [size=\"46542848\", alpha=\"0.06\", expect_size=\"23271424\"] \n  15 -> 23 [size =\"23271424\"]\n  16 [size=\"19724288\", alpha=\"0.06\", expect_size=\"9862144\"] \n  16 -> 30 [size =\"9862144\"]\n  16 -> 34 [size =\"9862144\"]\n  16 -> 37 [size =\"9862144\"]\n  16 -> 39 [size =\"9862144\"]\n  16 -> 40 [size =\"9862144\"]\n  17 [size=\"72591360\", alpha=\"0.14\", expect_size=\"36295680\"] \n  17 -> 37 [size =\"36295680\"]\n  17 -> 39 [size =\"36295680\"]\n  17 -> 41 [size =\"36295680\"]\n  18 [size=\"53053440\", alpha=\"0.13\", expect_size=\"26526720\"] \n  18 -> 30 [size =\"26526720\"]\n  18 -> 32 [size =\"26526720\"]\n  18 -> 33 [size =\"26526720\"]\n  18 -> 35 [size =\"26526720\"]\n  18 -> 36 [size =\"26526720\"]\n  18 -> 37 [size =\"26526720\"]\n  18 -> 38 [size =\"26526720\"]\n  18 -> 40 [size =\"26526720\"]\n  18 -> 41 [size =\"26526720\"]\n  19 [size=\"81557504\", alpha=\"0.08\", expect_size=\"40778752\"] \n  19 -> 30 [size =\"40778752\"]\n  19 -> 32 [size =\"40778752\"]\n  19 -> 33 [size =\"40778752\"]\n  19 -> 34 [size =\"40778752\"]\n  19 -> 35 [size =\"40778752\"]\n  19 -> 40 [size =\"40778752\"]\n  19 -> 41 [size =\"40778752\"]\n  20 [size=\"27723776\", alpha=\"0.00\", expect_size=\"13861888\"] \n  20 -> 33 [size =\"13861888\"]\n  20 -> 37 [size =\"13861888\"]\n  20 -> 40 [size =\"13861888\"]\n  20 -> 41 [size =\"13861888\"]\n  21 [size=\"78655488\", alpha=\"0.01\", expect_size=\"39327744\"] \n  21 -> 30 [size =\"39327744\"]\n  21 -> 40 [size =\"39327744\"]\n  22 [size=\"45709312\", alpha=\"0.04\", expect_size=\"22854656\"] \n  22 -> 30 [size =\"22854656\"]\n  22 -> 35 [size =\"22854656\"]\n  22 -> 39 [size =\"22854656\"]\n  23 [size=\"37294080\", alpha=\"0.05\", expect_size=\"18647040\"] \n  23 -> 32 [size =\"18647040\"]\n  23 -> 33 [size =\"18647040\"]\n  23 -> 35 [size =\"18647040\"]\n  23 -> 37 [size =\"18647040\"]\n  23 -> 38 [size =\"18647040\"]\n  23 -> 39 [size =\"18647040\"]\n  23 -> 40 [size =\"18647040\"]\n  23 -> 41 [size =\"18647040\"]\n  24 [size=\"78188544\", alpha=\"0.11\", expect_size=\"39094272\"] \n  24 -> 33 [size =\"39094272\"]\n  24 -> 34 [size =\"39094272\"]\n  24 -> 37 [size =\"39094272\"]\n  24 -> 38 [size =\"39094272\"]\n  25 [size=\"81174528\", alpha=\"0.10\", expect_size=\"40587264\"] \n  25 -> 32 [size =\"40587264\"]\n  25 -> 33 [size =\"40587264\"]\n  25 -> 34 [size =\"40587264\"]\n  25 -> 37 [size =\"40587264\"]\n  25 -> 39 [size =\"40587264\"]\n  26 [size=\"17219584\", alpha=\"0.08\", expect_size=\"8609792\"] \n  26 -> 31 [size =\"8609792\"]\n  26 -> 32 [size =\"8609792\"]\n  26 -> 33 [size =\"8609792\"]\n  26 -> 35 [size =\"8609792\"]\n  26 -> 38 [size =\"8609792\"]\n  26 -> 39 [size =\"8609792\"]\n  27 [size=\"43808768\", alpha=\"0.00\", expect_size=\"21904384\"] \n  27 -> 32 [size =\"21904384\"]\n  27 -> 35 [size =\"21904384\"]\n  27 -> 39 [size =\"21904384\"]\n  27 -> 41 [size =\"21904384\"]\n  28 [size=\"15413248\", alpha=\"0.09\", expect_size=\"7706624\"] \n  28 -> 30 [size =\"7706624\"]\n  28 -> 32 [size =\"7706624\"]\n  28 -> 37 [size =\"7706624\"]\n  28 -> 41 [size =\"7706624\"]\n  29 [size=\"77611008\", alpha=\"0.18\", expect_size=\"38805504\"] \n  29 -> 34 [size =\"38805504\"]\n  29 -> 39 [size =\"38805504\"]\n  29 -> 40 [size =\"38805504\"]\n  30 [size=\"22906880\", alpha=\"0.09\", expect_size=\"11453440\"] \n  30 -> 43 [size =\"11453440\"]\n  30 -> 44 [size =\"11453440\"]\n  30 -> 45 [size =\"11453440\"]\n  31 [size=\"22917120\", alpha=\"0.04\", expect_size=\"11458560\"] \n  31 -> 43 [size =\"11458560\"]\n  31 -> 45 [size =\"11458560\"]\n  32 [size=\"28743680\", alpha=\"0.05\", expect_size=\"14371840\"] \n  32 -> 42 [size =\"14371840\"]\n  32 -> 45 [size =\"14371840\"]\n  33 [size=\"45340672\", alpha=\"0.18\", expect_size=\"22670336\"] \n  33 -> 44 [size =\"22670336\"]\n  34 [size=\"68681728\", alpha=\"0.20\", expect_size=\"34340864\"] \n  34 -> 43 [size =\"34340864\"]\n  35 [size=\"25956352\", alpha=\"0.08\", expect_size=\"12978176\"] \n  35 -> 44 [size =\"12978176\"]\n  36 [size=\"71499776\", alpha=\"0.19\", expect_size=\"35749888\"] \n  37 [size=\"12826624\", alpha=\"0.03\", expect_size=\"6413312\"] \n  37 -> 43 [size =\"6413312\"]\n  38 [size=\"13889536\", alpha=\"0.16\", expect_size=\"6944768\"] \n  39 [size=\"54843392\", alpha=\"0.04\", expect_size=\"27421696\"] \n  39 -> 44 [size =\"27421696\"]\n  40 [size=\"46643200\", alpha=\"0.16\", expect_size=\"23321600\"] \n  40 -> 44 [size =\"23321600\"]\n  41 [size=\"88971264\", alpha=\"0.02\", expect_size=\"44485632\"] \n  41 -> 43 [size =\"44485632\"]\n  41 -> 44 [size =\"44485632\"]\n  42 [size=\"11315200\", alpha=\"0.15\", expect_size=\"5657600\"] \n  43 [size=\"36403200\", alpha=\"0.14\", expect_size=\"18201600\"] \n  44 [size=\"28841984\", alpha=\"0.08\", expect_size=\"14420992\"] \n  45 [size=\"26687488\", alpha=\"0.17\", expect_size=\"13343744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92813312\", alpha=\"0.07\", expect_size=\"46406656\"] \n  1 -> 8 [size =\"46406656\"]\n  2 [size=\"23500800\", alpha=\"0.02\", expect_size=\"11750400\"] \n  2 -> 8 [size =\"11750400\"]\n  3 [size=\"94955520\", alpha=\"0.16\", expect_size=\"47477760\"] \n  3 -> 9 [size =\"47477760\"]\n  3 -> 10 [size =\"47477760\"]\n  4 [size=\"19804160\", alpha=\"0.02\", expect_size=\"9902080\"] \n  5 [size=\"73209856\", alpha=\"0.13\", expect_size=\"36604928\"] \n  5 -> 10 [size =\"36604928\"]\n  6 [size=\"81037312\", alpha=\"0.18\", expect_size=\"40518656\"] \n  6 -> 10 [size =\"40518656\"]\n  7 [size=\"28213248\", alpha=\"0.08\", expect_size=\"14106624\"] \n  7 -> 9 [size =\"14106624\"]\n  8 [size=\"25180160\", alpha=\"0.11\", expect_size=\"12590080\"] \n  8 -> 11 [size =\"12590080\"]\n  8 -> 14 [size =\"12590080\"]\n  9 [size=\"45438976\", alpha=\"0.08\", expect_size=\"22719488\"] \n  9 -> 11 [size =\"22719488\"]\n  9 -> 13 [size =\"22719488\"]\n  10 [size=\"50354176\", alpha=\"0.11\", expect_size=\"25177088\"] \n  10 -> 12 [size =\"25177088\"]\n  11 [size=\"38096896\", alpha=\"0.10\", expect_size=\"19048448\"] \n  11 -> 17 [size =\"19048448\"]\n  11 -> 18 [size =\"19048448\"]\n  12 [size=\"70711296\", alpha=\"0.07\", expect_size=\"35355648\"] \n  13 [size=\"78336000\", alpha=\"0.17\", expect_size=\"39168000\"] \n  13 -> 15 [size =\"39168000\"]\n  13 -> 17 [size =\"39168000\"]\n  14 [size=\"61218816\", alpha=\"0.12\", expect_size=\"30609408\"] \n  14 -> 16 [size =\"30609408\"]\n  14 -> 18 [size =\"30609408\"]\n  15 [size=\"71002112\", alpha=\"0.05\", expect_size=\"35501056\"] \n  15 -> 19 [size =\"35501056\"]\n  15 -> 20 [size =\"35501056\"]\n  15 -> 21 [size =\"35501056\"]\n  16 [size=\"38842368\", alpha=\"0.00\", expect_size=\"19421184\"] \n  16 -> 23 [size =\"19421184\"]\n  16 -> 26 [size =\"19421184\"]\n  17 [size=\"27451392\", alpha=\"0.15\", expect_size=\"13725696\"] \n  17 -> 20 [size =\"13725696\"]\n  17 -> 22 [size =\"13725696\"]\n  17 -> 24 [size =\"13725696\"]\n  17 -> 25 [size =\"13725696\"]\n  17 -> 26 [size =\"13725696\"]\n  18 [size=\"64145408\", alpha=\"0.04\", expect_size=\"32072704\"] \n  18 -> 21 [size =\"32072704\"]\n  19 [size=\"20129792\", alpha=\"0.18\", expect_size=\"10064896\"] \n  19 -> 28 [size =\"10064896\"]\n  20 [size=\"56326144\", alpha=\"0.01\", expect_size=\"28163072\"] \n  20 -> 27 [size =\"28163072\"]\n  20 -> 28 [size =\"28163072\"]\n  20 -> 29 [size =\"28163072\"]\n  21 [size=\"11595776\", alpha=\"0.01\", expect_size=\"5797888\"] \n  22 [size=\"58982400\", alpha=\"0.03\", expect_size=\"29491200\"] \n  23 [size=\"90470400\", alpha=\"0.04\", expect_size=\"45235200\"] \n  23 -> 28 [size =\"45235200\"]\n  24 [size=\"74582016\", alpha=\"0.06\", expect_size=\"37291008\"] \n  25 [size=\"38203392\", alpha=\"0.02\", expect_size=\"19101696\"] \n  25 -> 27 [size =\"19101696\"]\n  26 [size=\"62345216\", alpha=\"0.12\", expect_size=\"31172608\"] \n  27 [size=\"62525440\", alpha=\"0.07\", expect_size=\"31262720\"] \n  28 [size=\"38004736\", alpha=\"0.04\", expect_size=\"19002368\"] \n  28 -> 31 [size =\"19002368\"]\n  28 -> 32 [size =\"19002368\"]\n  29 [size=\"56305664\", alpha=\"0.09\", expect_size=\"28152832\"] \n  29 -> 30 [size =\"28152832\"]\n  29 -> 33 [size =\"28152832\"]\n  29 -> 34 [size =\"28152832\"]\n  30 [size=\"49063936\", alpha=\"0.03\", expect_size=\"24531968\"] \n  31 [size=\"52824064\", alpha=\"0.02\", expect_size=\"26412032\"] \n  31 -> 36 [size =\"26412032\"]\n  32 [size=\"55541760\", alpha=\"0.14\", expect_size=\"27770880\"] \n  32 -> 35 [size =\"27770880\"]\n  32 -> 36 [size =\"27770880\"]\n  33 [size=\"70232064\", alpha=\"0.00\", expect_size=\"35116032\"] \n  33 -> 37 [size =\"35116032\"]\n  34 [size=\"86992896\", alpha=\"0.17\", expect_size=\"43496448\"] \n  34 -> 35 [size =\"43496448\"]\n  34 -> 37 [size =\"43496448\"]\n  35 [size=\"20776960\", alpha=\"0.07\", expect_size=\"10388480\"] \n  35 -> 38 [size =\"10388480\"]\n  35 -> 40 [size =\"10388480\"]\n  35 -> 42 [size =\"10388480\"]\n  35 -> 43 [size =\"10388480\"]\n  36 [size=\"28674048\", alpha=\"0.03\", expect_size=\"14337024\"] \n  36 -> 41 [size =\"14337024\"]\n  36 -> 43 [size =\"14337024\"]\n  36 -> 45 [size =\"14337024\"]\n  37 [size=\"86872064\", alpha=\"0.03\", expect_size=\"43436032\"] \n  37 -> 39 [size =\"43436032\"]\n  37 -> 41 [size =\"43436032\"]\n  37 -> 44 [size =\"43436032\"]\n  37 -> 45 [size =\"43436032\"]\n  38 [size=\"24350720\", alpha=\"0.14\", expect_size=\"12175360\"] \n  39 [size=\"44548096\", alpha=\"0.07\", expect_size=\"22274048\"] \n  40 [size=\"88051712\", alpha=\"0.09\", expect_size=\"44025856\"] \n  41 [size=\"100354048\", alpha=\"0.12\", expect_size=\"50177024\"] \n  42 [size=\"14696448\", alpha=\"0.06\", expect_size=\"7348224\"] \n  43 [size=\"80048128\", alpha=\"0.16\", expect_size=\"40024064\"] \n  44 [size=\"81145856\", alpha=\"0.20\", expect_size=\"40572928\"] \n  45 [size=\"68722688\", alpha=\"0.09\", expect_size=\"34361344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50995200\", alpha=\"0.14\", expect_size=\"20398080\"] \n  1 -> 29 [size =\"20398080\"]\n  1 -> 32 [size =\"20398080\"]\n  1 -> 33 [size =\"20398080\"]\n  1 -> 40 [size =\"20398080\"]\n  1 -> 42 [size =\"20398080\"]\n  1 -> 43 [size =\"20398080\"]\n  2 [size=\"130488320\", alpha=\"0.15\", expect_size=\"52195328\"] \n  2 -> 29 [size =\"52195328\"]\n  2 -> 33 [size =\"52195328\"]\n  2 -> 36 [size =\"52195328\"]\n  2 -> 40 [size =\"52195328\"]\n  2 -> 41 [size =\"52195328\"]\n  3 [size=\"70031360\", alpha=\"0.20\", expect_size=\"28012544\"] \n  3 -> 31 [size =\"28012544\"]\n  3 -> 33 [size =\"28012544\"]\n  3 -> 34 [size =\"28012544\"]\n  3 -> 36 [size =\"28012544\"]\n  3 -> 40 [size =\"28012544\"]\n  3 -> 44 [size =\"28012544\"]\n  4 [size=\"92254720\", alpha=\"0.19\", expect_size=\"36901888\"] \n  4 -> 33 [size =\"36901888\"]\n  4 -> 34 [size =\"36901888\"]\n  4 -> 40 [size =\"36901888\"]\n  5 [size=\"79841280\", alpha=\"0.07\", expect_size=\"31936512\"] \n  5 -> 31 [size =\"31936512\"]\n  5 -> 35 [size =\"31936512\"]\n  5 -> 39 [size =\"31936512\"]\n  5 -> 40 [size =\"31936512\"]\n  5 -> 42 [size =\"31936512\"]\n  6 [size=\"113256960\", alpha=\"0.12\", expect_size=\"45302784\"] \n  6 -> 36 [size =\"45302784\"]\n  6 -> 38 [size =\"45302784\"]\n  6 -> 40 [size =\"45302784\"]\n  6 -> 42 [size =\"45302784\"]\n  6 -> 42 [size =\"45302784\"]\n  7 [size=\"101629440\", alpha=\"0.01\", expect_size=\"40651776\"] \n  7 -> 29 [size =\"40651776\"]\n  7 -> 30 [size =\"40651776\"]\n  7 -> 33 [size =\"40651776\"]\n  7 -> 38 [size =\"40651776\"]\n  7 -> 43 [size =\"40651776\"]\n  8 [size=\"60728320\", alpha=\"0.14\", expect_size=\"24291328\"] \n  8 -> 29 [size =\"24291328\"]\n  8 -> 31 [size =\"24291328\"]\n  8 -> 33 [size =\"24291328\"]\n  8 -> 35 [size =\"24291328\"]\n  8 -> 38 [size =\"24291328\"]\n  8 -> 39 [size =\"24291328\"]\n  9 [size=\"48647680\", alpha=\"0.09\", expect_size=\"19459072\"] \n  9 -> 29 [size =\"19459072\"]\n  9 -> 31 [size =\"19459072\"]\n  9 -> 33 [size =\"19459072\"]\n  9 -> 35 [size =\"19459072\"]\n  9 -> 36 [size =\"19459072\"]\n  9 -> 38 [size =\"19459072\"]\n  9 -> 42 [size =\"19459072\"]\n  9 -> 44 [size =\"19459072\"]\n  9 -> 45 [size =\"19459072\"]\n  10 [size=\"74368000\", alpha=\"0.17\", expect_size=\"29747200\"] \n  10 -> 29 [size =\"29747200\"]\n  10 -> 33 [size =\"29747200\"]\n  10 -> 36 [size =\"29747200\"]\n  10 -> 40 [size =\"29747200\"]\n  10 -> 44 [size =\"29747200\"]\n  10 -> 45 [size =\"29747200\"]\n  11 [size=\"129973760\", alpha=\"0.06\", expect_size=\"51989504\"] \n  11 -> 31 [size =\"51989504\"]\n  11 -> 32 [size =\"51989504\"]\n  11 -> 33 [size =\"51989504\"]\n  11 -> 41 [size =\"51989504\"]\n  12 [size=\"96780800\", alpha=\"0.18\", expect_size=\"38712320\"] \n  12 -> 31 [size =\"38712320\"]\n  12 -> 33 [size =\"38712320\"]\n  12 -> 34 [size =\"38712320\"]\n  12 -> 38 [size =\"38712320\"]\n  12 -> 42 [size =\"38712320\"]\n  13 [size=\"65331200\", alpha=\"0.19\", expect_size=\"26132480\"] \n  13 -> 31 [size =\"26132480\"]\n  13 -> 33 [size =\"26132480\"]\n  13 -> 36 [size =\"26132480\"]\n  13 -> 38 [size =\"26132480\"]\n  13 -> 41 [size =\"26132480\"]\n  14 [size=\"64885760\", alpha=\"0.08\", expect_size=\"25954304\"] \n  14 -> 29 [size =\"25954304\"]\n  14 -> 31 [size =\"25954304\"]\n  14 -> 36 [size =\"25954304\"]\n  14 -> 38 [size =\"25954304\"]\n  14 -> 41 [size =\"25954304\"]\n  14 -> 42 [size =\"25954304\"]\n  15 [size=\"57420800\", alpha=\"0.04\", expect_size=\"22968320\"] \n  15 -> 31 [size =\"22968320\"]\n  15 -> 32 [size =\"22968320\"]\n  15 -> 38 [size =\"22968320\"]\n  15 -> 41 [size =\"22968320\"]\n  15 -> 42 [size =\"22968320\"]\n  16 [size=\"100290560\", alpha=\"0.04\", expect_size=\"40116224\"] \n  16 -> 39 [size =\"40116224\"]\n  16 -> 41 [size =\"40116224\"]\n  16 -> 42 [size =\"40116224\"]\n  17 [size=\"54228480\", alpha=\"0.09\", expect_size=\"21691392\"] \n  17 -> 31 [size =\"21691392\"]\n  17 -> 33 [size =\"21691392\"]\n  17 -> 36 [size =\"21691392\"]\n  17 -> 42 [size =\"21691392\"]\n  18 [size=\"60229120\", alpha=\"0.04\", expect_size=\"24091648\"] \n  18 -> 29 [size =\"24091648\"]\n  18 -> 39 [size =\"24091648\"]\n  18 -> 42 [size =\"24091648\"]\n  18 -> 42 [size =\"24091648\"]\n  19 [size=\"25996800\", alpha=\"0.05\", expect_size=\"10398720\"] \n  19 -> 29 [size =\"10398720\"]\n  19 -> 36 [size =\"10398720\"]\n  20 [size=\"76707840\", alpha=\"0.03\", expect_size=\"30683136\"] \n  20 -> 29 [size =\"30683136\"]\n  20 -> 36 [size =\"30683136\"]\n  20 -> 40 [size =\"30683136\"]\n  20 -> 41 [size =\"30683136\"]\n  20 -> 42 [size =\"30683136\"]\n  20 -> 44 [size =\"30683136\"]\n  21 [size=\"60651520\", alpha=\"0.08\", expect_size=\"24260608\"] \n  21 -> 42 [size =\"24260608\"]\n  21 -> 43 [size =\"24260608\"]\n  22 [size=\"93890560\", alpha=\"0.12\", expect_size=\"37556224\"] \n  22 -> 29 [size =\"37556224\"]\n  22 -> 34 [size =\"37556224\"]\n  22 -> 35 [size =\"37556224\"]\n  22 -> 41 [size =\"37556224\"]\n  22 -> 42 [size =\"37556224\"]\n  22 -> 45 [size =\"37556224\"]\n  23 [size=\"81338880\", alpha=\"0.06\", expect_size=\"32535552\"] \n  23 -> 36 [size =\"32535552\"]\n  23 -> 42 [size =\"32535552\"]\n  24 [size=\"74068480\", alpha=\"0.13\", expect_size=\"29627392\"] \n  24 -> 33 [size =\"29627392\"]\n  24 -> 37 [size =\"29627392\"]\n  24 -> 44 [size =\"29627392\"]\n  24 -> 45 [size =\"29627392\"]\n  25 [size=\"119196160\", alpha=\"0.12\", expect_size=\"47678464\"] \n  25 -> 29 [size =\"47678464\"]\n  25 -> 31 [size =\"47678464\"]\n  25 -> 33 [size =\"47678464\"]\n  25 -> 43 [size =\"47678464\"]\n  26 [size=\"24967680\", alpha=\"0.08\", expect_size=\"9987072\"] \n  26 -> 30 [size =\"9987072\"]\n  26 -> 32 [size =\"9987072\"]\n  26 -> 33 [size =\"9987072\"]\n  26 -> 38 [size =\"9987072\"]\n  26 -> 42 [size =\"9987072\"]\n  26 -> 44 [size =\"9987072\"]\n  27 [size=\"47564800\", alpha=\"0.18\", expect_size=\"19025920\"] \n  27 -> 30 [size =\"19025920\"]\n  27 -> 34 [size =\"19025920\"]\n  27 -> 36 [size =\"19025920\"]\n  27 -> 38 [size =\"19025920\"]\n  27 -> 40 [size =\"19025920\"]\n  27 -> 44 [size =\"19025920\"]\n  27 -> 45 [size =\"19025920\"]\n  28 [size=\"103096320\", alpha=\"0.17\", expect_size=\"41238528\"] \n  28 -> 29 [size =\"41238528\"]\n  28 -> 31 [size =\"41238528\"]\n  28 -> 32 [size =\"41238528\"]\n  28 -> 36 [size =\"41238528\"]\n  28 -> 40 [size =\"41238528\"]\n  28 -> 41 [size =\"41238528\"]\n  28 -> 44 [size =\"41238528\"]\n  29 [size=\"124881920\", alpha=\"0.02\", expect_size=\"49952768\"] \n  30 [size=\"38968320\", alpha=\"0.17\", expect_size=\"15587328\"] \n  31 [size=\"58890240\", alpha=\"0.12\", expect_size=\"23556096\"] \n  32 [size=\"104570880\", alpha=\"0.01\", expect_size=\"41828352\"] \n  33 [size=\"57464320\", alpha=\"0.19\", expect_size=\"22985728\"] \n  34 [size=\"92456960\", alpha=\"0.06\", expect_size=\"36982784\"] \n  35 [size=\"52774400\", alpha=\"0.20\", expect_size=\"21109760\"] \n  36 [size=\"123115520\", alpha=\"0.09\", expect_size=\"49246208\"] \n  37 [size=\"49738240\", alpha=\"0.05\", expect_size=\"19895296\"] \n  38 [size=\"39127040\", alpha=\"0.09\", expect_size=\"15650816\"] \n  39 [size=\"20943360\", alpha=\"0.15\", expect_size=\"8377344\"] \n  40 [size=\"30722560\", alpha=\"0.12\", expect_size=\"12289024\"] \n  41 [size=\"129730560\", alpha=\"0.17\", expect_size=\"51892224\"] \n  42 [size=\"80939520\", alpha=\"0.16\", expect_size=\"32375808\"] \n  43 [size=\"85990400\", alpha=\"0.06\", expect_size=\"34396160\"] \n  44 [size=\"79139840\", alpha=\"0.07\", expect_size=\"31655936\"] \n  45 [size=\"112171520\", alpha=\"0.06\", expect_size=\"44868608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162191360\", alpha=\"0.07\", expect_size=\"48657408\"] \n  1 -> 2 [size =\"48657408\"]\n  1 -> 3 [size =\"48657408\"]\n  2 [size=\"86807893\", alpha=\"0.13\", expect_size=\"26042368\"] \n  2 -> 4 [size =\"26042368\"]\n  3 [size=\"119650987\", alpha=\"0.19\", expect_size=\"35895296\"] \n  3 -> 4 [size =\"35895296\"]\n  3 -> 5 [size =\"35895296\"]\n  4 [size=\"32013653\", alpha=\"0.12\", expect_size=\"9604096\"] \n  4 -> 6 [size =\"9604096\"]\n  4 -> 7 [size =\"9604096\"]\n  4 -> 8 [size =\"9604096\"]\n  5 [size=\"55009280\", alpha=\"0.00\", expect_size=\"16502784\"] \n  5 -> 6 [size =\"16502784\"]\n  5 -> 8 [size =\"16502784\"]\n  6 [size=\"141940053\", alpha=\"0.09\", expect_size=\"42582016\"] \n  6 -> 9 [size =\"42582016\"]\n  6 -> 10 [size =\"42582016\"]\n  6 -> 11 [size =\"42582016\"]\n  7 [size=\"36133547\", alpha=\"0.11\", expect_size=\"10840064\"] \n  7 -> 9 [size =\"10840064\"]\n  8 [size=\"147220480\", alpha=\"0.01\", expect_size=\"44166144\"] \n  8 -> 9 [size =\"44166144\"]\n  8 -> 10 [size =\"44166144\"]\n  9 [size=\"105915733\", alpha=\"0.11\", expect_size=\"31774720\"] \n  9 -> 12 [size =\"31774720\"]\n  9 -> 13 [size =\"31774720\"]\n  10 [size=\"62924800\", alpha=\"0.09\", expect_size=\"18877440\"] \n  10 -> 12 [size =\"18877440\"]\n  10 -> 13 [size =\"18877440\"]\n  11 [size=\"120077653\", alpha=\"0.06\", expect_size=\"36023296\"] \n  11 -> 12 [size =\"36023296\"]\n  11 -> 13 [size =\"36023296\"]\n  12 [size=\"21248000\", alpha=\"0.19\", expect_size=\"6374400\"] \n  12 -> 15 [size =\"6374400\"]\n  13 [size=\"124108800\", alpha=\"0.13\", expect_size=\"37232640\"] \n  13 -> 14 [size =\"37232640\"]\n  13 -> 15 [size =\"37232640\"]\n  14 [size=\"117063680\", alpha=\"0.15\", expect_size=\"35119104\"] \n  14 -> 16 [size =\"35119104\"]\n  14 -> 17 [size =\"35119104\"]\n  14 -> 18 [size =\"35119104\"]\n  15 [size=\"54446080\", alpha=\"0.03\", expect_size=\"16333824\"] \n  15 -> 17 [size =\"16333824\"]\n  15 -> 18 [size =\"16333824\"]\n  16 [size=\"58064213\", alpha=\"0.03\", expect_size=\"17419264\"] \n  16 -> 19 [size =\"17419264\"]\n  17 [size=\"129365333\", alpha=\"0.20\", expect_size=\"38809600\"] \n  17 -> 19 [size =\"38809600\"]\n  18 [size=\"56900267\", alpha=\"0.16\", expect_size=\"17070080\"] \n  18 -> 19 [size =\"17070080\"]\n  19 [size=\"60842667\", alpha=\"0.03\", expect_size=\"18252800\"] \n  19 -> 20 [size =\"18252800\"]\n  19 -> 21 [size =\"18252800\"]\n  19 -> 22 [size =\"18252800\"]\n  20 [size=\"149456213\", alpha=\"0.14\", expect_size=\"44836864\"] \n  20 -> 23 [size =\"44836864\"]\n  21 [size=\"59545600\", alpha=\"0.04\", expect_size=\"17863680\"] \n  21 -> 23 [size =\"17863680\"]\n  22 [size=\"108090027\", alpha=\"0.03\", expect_size=\"32427008\"] \n  22 -> 23 [size =\"32427008\"]\n  23 [size=\"98174293\", alpha=\"0.14\", expect_size=\"29452288\"] \n  23 -> 24 [size =\"29452288\"]\n  23 -> 25 [size =\"29452288\"]\n  24 [size=\"41072640\", alpha=\"0.08\", expect_size=\"12321792\"] \n  24 -> 26 [size =\"12321792\"]\n  24 -> 27 [size =\"12321792\"]\n  24 -> 28 [size =\"12321792\"]\n  25 [size=\"160491520\", alpha=\"0.06\", expect_size=\"48147456\"] \n  25 -> 26 [size =\"48147456\"]\n  25 -> 27 [size =\"48147456\"]\n  26 [size=\"30655147\", alpha=\"0.20\", expect_size=\"9196544\"] \n  26 -> 29 [size =\"9196544\"]\n  26 -> 30 [size =\"9196544\"]\n  26 -> 31 [size =\"9196544\"]\n  27 [size=\"57548800\", alpha=\"0.16\", expect_size=\"17264640\"] \n  27 -> 29 [size =\"17264640\"]\n  27 -> 30 [size =\"17264640\"]\n  27 -> 31 [size =\"17264640\"]\n  28 [size=\"55101440\", alpha=\"0.09\", expect_size=\"16530432\"] \n  28 -> 29 [size =\"16530432\"]\n  28 -> 31 [size =\"16530432\"]\n  29 [size=\"24477013\", alpha=\"0.13\", expect_size=\"7343104\"] \n  29 -> 33 [size =\"7343104\"]\n  29 -> 34 [size =\"7343104\"]\n  30 [size=\"49203200\", alpha=\"0.03\", expect_size=\"14760960\"] \n  30 -> 32 [size =\"14760960\"]\n  30 -> 33 [size =\"14760960\"]\n  31 [size=\"163184640\", alpha=\"0.06\", expect_size=\"48955392\"] \n  31 -> 33 [size =\"48955392\"]\n  31 -> 34 [size =\"48955392\"]\n  32 [size=\"39284053\", alpha=\"0.10\", expect_size=\"11785216\"] \n  32 -> 36 [size =\"11785216\"]\n  32 -> 37 [size =\"11785216\"]\n  33 [size=\"61405867\", alpha=\"0.07\", expect_size=\"18421760\"] \n  33 -> 35 [size =\"18421760\"]\n  33 -> 36 [size =\"18421760\"]\n  34 [size=\"174434987\", alpha=\"0.16\", expect_size=\"52330496\"] \n  34 -> 35 [size =\"52330496\"]\n  34 -> 36 [size =\"52330496\"]\n  34 -> 37 [size =\"52330496\"]\n  35 [size=\"78342827\", alpha=\"0.11\", expect_size=\"23502848\"] \n  36 [size=\"125235200\", alpha=\"0.10\", expect_size=\"37570560\"] \n  36 -> 38 [size =\"37570560\"]\n  36 -> 39 [size =\"37570560\"]\n  37 [size=\"125006507\", alpha=\"0.04\", expect_size=\"37501952\"] \n  37 -> 39 [size =\"37501952\"]\n  38 [size=\"96314027\", alpha=\"0.03\", expect_size=\"28894208\"] \n  38 -> 40 [size =\"28894208\"]\n  38 -> 41 [size =\"28894208\"]\n  38 -> 42 [size =\"28894208\"]\n  38 -> 43 [size =\"28894208\"]\n  39 [size=\"168905387\", alpha=\"0.07\", expect_size=\"50671616\"] \n  39 -> 41 [size =\"50671616\"]\n  39 -> 42 [size =\"50671616\"]\n  39 -> 43 [size =\"50671616\"]\n  40 [size=\"116643840\", alpha=\"0.08\", expect_size=\"34993152\"] \n  40 -> 45 [size =\"34993152\"]\n  41 [size=\"142274560\", alpha=\"0.14\", expect_size=\"42682368\"] \n  41 -> 44 [size =\"42682368\"]\n  41 -> 45 [size =\"42682368\"]\n  42 [size=\"33819307\", alpha=\"0.12\", expect_size=\"10145792\"] \n  42 -> 44 [size =\"10145792\"]\n  43 [size=\"109629440\", alpha=\"0.00\", expect_size=\"32888832\"] \n  44 [size=\"161761280\", alpha=\"0.12\", expect_size=\"48528384\"] \n  45 [size=\"132522667\", alpha=\"0.01\", expect_size=\"39756800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104386560\", alpha=\"0.19\", expect_size=\"41754624\"] \n  1 -> 2 [size =\"41754624\"]\n  2 [size=\"32821760\", alpha=\"0.04\", expect_size=\"13128704\"] \n  2 -> 3 [size =\"13128704\"]\n  3 [size=\"94671360\", alpha=\"0.01\", expect_size=\"37868544\"] \n  3 -> 4 [size =\"37868544\"]\n  4 [size=\"20257280\", alpha=\"0.03\", expect_size=\"8102912\"] \n  4 -> 5 [size =\"8102912\"]\n  5 [size=\"34096640\", alpha=\"0.19\", expect_size=\"13638656\"] \n  5 -> 6 [size =\"13638656\"]\n  6 [size=\"63211520\", alpha=\"0.02\", expect_size=\"25284608\"] \n  6 -> 7 [size =\"25284608\"]\n  7 [size=\"47265280\", alpha=\"0.18\", expect_size=\"18906112\"] \n  7 -> 8 [size =\"18906112\"]\n  8 [size=\"84170240\", alpha=\"0.16\", expect_size=\"33668096\"] \n  8 -> 9 [size =\"33668096\"]\n  9 [size=\"50974720\", alpha=\"0.01\", expect_size=\"20389888\"] \n  9 -> 10 [size =\"20389888\"]\n  10 [size=\"79713280\", alpha=\"0.18\", expect_size=\"31885312\"] \n  10 -> 11 [size =\"31885312\"]\n  11 [size=\"124185600\", alpha=\"0.07\", expect_size=\"49674240\"] \n  11 -> 12 [size =\"49674240\"]\n  12 [size=\"118850560\", alpha=\"0.11\", expect_size=\"47540224\"] \n  12 -> 13 [size =\"47540224\"]\n  13 [size=\"24230400\", alpha=\"0.05\", expect_size=\"9692160\"] \n  13 -> 14 [size =\"9692160\"]\n  14 [size=\"29452800\", alpha=\"0.12\", expect_size=\"11781120\"] \n  14 -> 15 [size =\"11781120\"]\n  15 [size=\"47531520\", alpha=\"0.16\", expect_size=\"19012608\"] \n  15 -> 16 [size =\"19012608\"]\n  16 [size=\"39587840\", alpha=\"0.06\", expect_size=\"15835136\"] \n  16 -> 17 [size =\"15835136\"]\n  17 [size=\"48604160\", alpha=\"0.04\", expect_size=\"19441664\"] \n  17 -> 18 [size =\"19441664\"]\n  18 [size=\"38579200\", alpha=\"0.07\", expect_size=\"15431680\"] \n  18 -> 19 [size =\"15431680\"]\n  19 [size=\"15616000\", alpha=\"0.08\", expect_size=\"6246400\"] \n  19 -> 20 [size =\"6246400\"]\n  20 [size=\"24378880\", alpha=\"0.05\", expect_size=\"9751552\"] \n  20 -> 21 [size =\"9751552\"]\n  21 [size=\"129008640\", alpha=\"0.17\", expect_size=\"51603456\"] \n  21 -> 22 [size =\"51603456\"]\n  22 [size=\"52339200\", alpha=\"0.13\", expect_size=\"20935680\"] \n  22 -> 23 [size =\"20935680\"]\n  23 [size=\"119393280\", alpha=\"0.02\", expect_size=\"47757312\"] \n  23 -> 24 [size =\"47757312\"]\n  24 [size=\"33679360\", alpha=\"0.13\", expect_size=\"13471744\"] \n  24 -> 25 [size =\"13471744\"]\n  25 [size=\"104353280\", alpha=\"0.07\", expect_size=\"41741312\"] \n  25 -> 26 [size =\"41741312\"]\n  26 [size=\"78369280\", alpha=\"0.09\", expect_size=\"31347712\"] \n  26 -> 27 [size =\"31347712\"]\n  27 [size=\"114240000\", alpha=\"0.18\", expect_size=\"45696000\"] \n  27 -> 28 [size =\"45696000\"]\n  28 [size=\"19822080\", alpha=\"0.18\", expect_size=\"7928832\"] \n  28 -> 29 [size =\"7928832\"]\n  29 [size=\"59832320\", alpha=\"0.05\", expect_size=\"23932928\"] \n  29 -> 30 [size =\"23932928\"]\n  30 [size=\"109445120\", alpha=\"0.03\", expect_size=\"43778048\"] \n  30 -> 31 [size =\"43778048\"]\n  31 [size=\"21440000\", alpha=\"0.20\", expect_size=\"8576000\"] \n  31 -> 32 [size =\"8576000\"]\n  32 [size=\"123023360\", alpha=\"0.15\", expect_size=\"49209344\"] \n  32 -> 33 [size =\"49209344\"]\n  33 [size=\"80020480\", alpha=\"0.12\", expect_size=\"32008192\"] \n  33 -> 34 [size =\"32008192\"]\n  34 [size=\"91957760\", alpha=\"0.11\", expect_size=\"36783104\"] \n  34 -> 35 [size =\"36783104\"]\n  35 [size=\"48023040\", alpha=\"0.17\", expect_size=\"19209216\"] \n  35 -> 36 [size =\"19209216\"]\n  36 [size=\"87170560\", alpha=\"0.06\", expect_size=\"34868224\"] \n  36 -> 37 [size =\"34868224\"]\n  37 [size=\"23580160\", alpha=\"0.02\", expect_size=\"9432064\"] \n  37 -> 38 [size =\"9432064\"]\n  38 [size=\"127336960\", alpha=\"0.03\", expect_size=\"50934784\"] \n  38 -> 39 [size =\"50934784\"]\n  39 [size=\"115612160\", alpha=\"0.03\", expect_size=\"46244864\"] \n  39 -> 40 [size =\"46244864\"]\n  40 [size=\"26273280\", alpha=\"0.06\", expect_size=\"10509312\"] \n  40 -> 41 [size =\"10509312\"]\n  41 [size=\"43893760\", alpha=\"0.08\", expect_size=\"17557504\"] \n  41 -> 42 [size =\"17557504\"]\n  42 [size=\"43624960\", alpha=\"0.17\", expect_size=\"17449984\"] \n  42 -> 43 [size =\"17449984\"]\n  43 [size=\"13242880\", alpha=\"0.04\", expect_size=\"5297152\"] \n  43 -> 44 [size =\"5297152\"]\n  44 [size=\"81835520\", alpha=\"0.14\", expect_size=\"32734208\"] \n  44 -> 45 [size =\"32734208\"]\n  45 [size=\"29824000\", alpha=\"0.20\", expect_size=\"11929600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39589888\", alpha=\"0.01\", expect_size=\"19794944\"] \n  1 -> 6 [size =\"19794944\"]\n  1 -> 9 [size =\"19794944\"]\n  2 [size=\"70303744\", alpha=\"0.15\", expect_size=\"35151872\"] \n  2 -> 6 [size =\"35151872\"]\n  2 -> 8 [size =\"35151872\"]\n  2 -> 9 [size =\"35151872\"]\n  3 [size=\"10975232\", alpha=\"0.19\", expect_size=\"5487616\"] \n  3 -> 6 [size =\"5487616\"]\n  3 -> 8 [size =\"5487616\"]\n  3 -> 9 [size =\"5487616\"]\n  3 -> 10 [size =\"5487616\"]\n  3 -> 11 [size =\"5487616\"]\n  4 [size=\"50345984\", alpha=\"0.01\", expect_size=\"25172992\"] \n  4 -> 7 [size =\"25172992\"]\n  4 -> 11 [size =\"25172992\"]\n  5 [size=\"73699328\", alpha=\"0.15\", expect_size=\"36849664\"] \n  5 -> 6 [size =\"36849664\"]\n  5 -> 7 [size =\"36849664\"]\n  5 -> 9 [size =\"36849664\"]\n  6 [size=\"21110784\", alpha=\"0.01\", expect_size=\"10555392\"] \n  6 -> 12 [size =\"10555392\"]\n  6 -> 13 [size =\"10555392\"]\n  6 -> 16 [size =\"10555392\"]\n  7 [size=\"61284352\", alpha=\"0.19\", expect_size=\"30642176\"] \n  7 -> 12 [size =\"30642176\"]\n  7 -> 13 [size =\"30642176\"]\n  7 -> 15 [size =\"30642176\"]\n  7 -> 16 [size =\"30642176\"]\n  7 -> 17 [size =\"30642176\"]\n  8 [size=\"93169664\", alpha=\"0.01\", expect_size=\"46584832\"] \n  8 -> 12 [size =\"46584832\"]\n  8 -> 13 [size =\"46584832\"]\n  8 -> 14 [size =\"46584832\"]\n  8 -> 16 [size =\"46584832\"]\n  9 [size=\"87904256\", alpha=\"0.07\", expect_size=\"43952128\"] \n  9 -> 12 [size =\"43952128\"]\n  10 [size=\"70533120\", alpha=\"0.13\", expect_size=\"35266560\"] \n  10 -> 14 [size =\"35266560\"]\n  10 -> 16 [size =\"35266560\"]\n  11 [size=\"70086656\", alpha=\"0.14\", expect_size=\"35043328\"] \n  11 -> 12 [size =\"35043328\"]\n  11 -> 13 [size =\"35043328\"]\n  11 -> 14 [size =\"35043328\"]\n  11 -> 16 [size =\"35043328\"]\n  12 [size=\"74145792\", alpha=\"0.10\", expect_size=\"37072896\"] \n  12 -> 18 [size =\"37072896\"]\n  12 -> 21 [size =\"37072896\"]\n  12 -> 22 [size =\"37072896\"]\n  13 [size=\"49166336\", alpha=\"0.12\", expect_size=\"24583168\"] \n  13 -> 18 [size =\"24583168\"]\n  13 -> 22 [size =\"24583168\"]\n  14 [size=\"43372544\", alpha=\"0.04\", expect_size=\"21686272\"] \n  14 -> 18 [size =\"21686272\"]\n  14 -> 20 [size =\"21686272\"]\n  15 [size=\"49348608\", alpha=\"0.16\", expect_size=\"24674304\"] \n  15 -> 22 [size =\"24674304\"]\n  16 [size=\"25489408\", alpha=\"0.18\", expect_size=\"12744704\"] \n  16 -> 19 [size =\"12744704\"]\n  16 -> 20 [size =\"12744704\"]\n  16 -> 21 [size =\"12744704\"]\n  16 -> 22 [size =\"12744704\"]\n  17 [size=\"31254528\", alpha=\"0.02\", expect_size=\"15627264\"] \n  17 -> 19 [size =\"15627264\"]\n  18 [size=\"27084800\", alpha=\"0.04\", expect_size=\"13542400\"] \n  18 -> 23 [size =\"13542400\"]\n  18 -> 25 [size =\"13542400\"]\n  18 -> 28 [size =\"13542400\"]\n  19 [size=\"30326784\", alpha=\"0.18\", expect_size=\"15163392\"] \n  19 -> 26 [size =\"15163392\"]\n  19 -> 27 [size =\"15163392\"]\n  20 [size=\"64884736\", alpha=\"0.08\", expect_size=\"32442368\"] \n  20 -> 23 [size =\"32442368\"]\n  21 [size=\"30554112\", alpha=\"0.04\", expect_size=\"15277056\"] \n  21 -> 23 [size =\"15277056\"]\n  21 -> 24 [size =\"15277056\"]\n  21 -> 26 [size =\"15277056\"]\n  21 -> 27 [size =\"15277056\"]\n  22 [size=\"94707712\", alpha=\"0.13\", expect_size=\"47353856\"] \n  22 -> 27 [size =\"47353856\"]\n  22 -> 28 [size =\"47353856\"]\n  23 [size=\"49504256\", alpha=\"0.03\", expect_size=\"24752128\"] \n  23 -> 31 [size =\"24752128\"]\n  23 -> 32 [size =\"24752128\"]\n  24 [size=\"104699904\", alpha=\"0.00\", expect_size=\"52349952\"] \n  24 -> 29 [size =\"52349952\"]\n  24 -> 32 [size =\"52349952\"]\n  25 [size=\"31092736\", alpha=\"0.11\", expect_size=\"15546368\"] \n  26 [size=\"12957696\", alpha=\"0.05\", expect_size=\"6478848\"] \n  26 -> 33 [size =\"6478848\"]\n  27 [size=\"95981568\", alpha=\"0.09\", expect_size=\"47990784\"] \n  27 -> 31 [size =\"47990784\"]\n  27 -> 34 [size =\"47990784\"]\n  28 [size=\"12646400\", alpha=\"0.10\", expect_size=\"6323200\"] \n  28 -> 29 [size =\"6323200\"]\n  28 -> 30 [size =\"6323200\"]\n  28 -> 31 [size =\"6323200\"]\n  28 -> 32 [size =\"6323200\"]\n  29 [size=\"29949952\", alpha=\"0.08\", expect_size=\"14974976\"] \n  30 [size=\"18798592\", alpha=\"0.19\", expect_size=\"9399296\"] \n  30 -> 35 [size =\"9399296\"]\n  30 -> 36 [size =\"9399296\"]\n  30 -> 38 [size =\"9399296\"]\n  31 [size=\"56018944\", alpha=\"0.02\", expect_size=\"28009472\"] \n  31 -> 37 [size =\"28009472\"]\n  31 -> 38 [size =\"28009472\"]\n  31 -> 39 [size =\"28009472\"]\n  32 [size=\"76341248\", alpha=\"0.19\", expect_size=\"38170624\"] \n  32 -> 39 [size =\"38170624\"]\n  33 [size=\"45215744\", alpha=\"0.04\", expect_size=\"22607872\"] \n  33 -> 35 [size =\"22607872\"]\n  33 -> 36 [size =\"22607872\"]\n  33 -> 38 [size =\"22607872\"]\n  33 -> 39 [size =\"22607872\"]\n  34 [size=\"57505792\", alpha=\"0.16\", expect_size=\"28752896\"] \n  34 -> 36 [size =\"28752896\"]\n  34 -> 38 [size =\"28752896\"]\n  34 -> 39 [size =\"28752896\"]\n  35 [size=\"58699776\", alpha=\"0.16\", expect_size=\"29349888\"] \n  35 -> 40 [size =\"29349888\"]\n  35 -> 41 [size =\"29349888\"]\n  35 -> 42 [size =\"29349888\"]\n  35 -> 43 [size =\"29349888\"]\n  35 -> 44 [size =\"29349888\"]\n  36 [size=\"17643520\", alpha=\"0.20\", expect_size=\"8821760\"] \n  36 -> 40 [size =\"8821760\"]\n  36 -> 43 [size =\"8821760\"]\n  36 -> 44 [size =\"8821760\"]\n  36 -> 45 [size =\"8821760\"]\n  37 [size=\"39331840\", alpha=\"0.08\", expect_size=\"19665920\"] \n  37 -> 41 [size =\"19665920\"]\n  37 -> 45 [size =\"19665920\"]\n  38 [size=\"80195584\", alpha=\"0.19\", expect_size=\"40097792\"] \n  38 -> 41 [size =\"40097792\"]\n  38 -> 42 [size =\"40097792\"]\n  38 -> 43 [size =\"40097792\"]\n  38 -> 44 [size =\"40097792\"]\n  38 -> 45 [size =\"40097792\"]\n  39 [size=\"34174976\", alpha=\"0.15\", expect_size=\"17087488\"] \n  39 -> 40 [size =\"17087488\"]\n  39 -> 41 [size =\"17087488\"]\n  39 -> 42 [size =\"17087488\"]\n  39 -> 45 [size =\"17087488\"]\n  40 [size=\"73060352\", alpha=\"0.02\", expect_size=\"36530176\"] \n  41 [size=\"68157440\", alpha=\"0.13\", expect_size=\"34078720\"] \n  42 [size=\"79067136\", alpha=\"0.02\", expect_size=\"39533568\"] \n  43 [size=\"75077632\", alpha=\"0.20\", expect_size=\"37538816\"] \n  44 [size=\"94873600\", alpha=\"0.17\", expect_size=\"47436800\"] \n  45 [size=\"76967936\", alpha=\"0.19\", expect_size=\"38483968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51869013\", alpha=\"0.16\", expect_size=\"15560704\"] \n  1 -> 2 [size =\"15560704\"]\n  2 [size=\"45950293\", alpha=\"0.05\", expect_size=\"13785088\"] \n  2 -> 3 [size =\"13785088\"]\n  3 [size=\"18954240\", alpha=\"0.08\", expect_size=\"5686272\"] \n  3 -> 4 [size =\"5686272\"]\n  4 [size=\"77383680\", alpha=\"0.19\", expect_size=\"23215104\"] \n  4 -> 5 [size =\"23215104\"]\n  5 [size=\"73915733\", alpha=\"0.02\", expect_size=\"22174720\"] \n  5 -> 6 [size =\"22174720\"]\n  6 [size=\"156989440\", alpha=\"0.12\", expect_size=\"47096832\"] \n  6 -> 7 [size =\"47096832\"]\n  7 [size=\"47469227\", alpha=\"0.11\", expect_size=\"14240768\"] \n  7 -> 8 [size =\"14240768\"]\n  8 [size=\"46510080\", alpha=\"0.20\", expect_size=\"13953024\"] \n  8 -> 9 [size =\"13953024\"]\n  9 [size=\"138810027\", alpha=\"0.13\", expect_size=\"41643008\"] \n  9 -> 10 [size =\"41643008\"]\n  10 [size=\"163652267\", alpha=\"0.19\", expect_size=\"49095680\"] \n  10 -> 11 [size =\"49095680\"]\n  11 [size=\"86261760\", alpha=\"0.06\", expect_size=\"25878528\"] \n  11 -> 12 [size =\"25878528\"]\n  12 [size=\"58453333\", alpha=\"0.03\", expect_size=\"17536000\"] \n  12 -> 13 [size =\"17536000\"]\n  13 [size=\"94074880\", alpha=\"0.14\", expect_size=\"28222464\"] \n  13 -> 14 [size =\"28222464\"]\n  14 [size=\"156805120\", alpha=\"0.07\", expect_size=\"47041536\"] \n  14 -> 15 [size =\"47041536\"]\n  15 [size=\"147691520\", alpha=\"0.02\", expect_size=\"44307456\"] \n  15 -> 16 [size =\"44307456\"]\n  16 [size=\"165157547\", alpha=\"0.14\", expect_size=\"49547264\"] \n  16 -> 17 [size =\"49547264\"]\n  17 [size=\"99222187\", alpha=\"0.07\", expect_size=\"29766656\"] \n  17 -> 18 [size =\"29766656\"]\n  18 [size=\"25132373\", alpha=\"0.17\", expect_size=\"7539712\"] \n  18 -> 19 [size =\"7539712\"]\n  19 [size=\"21469867\", alpha=\"0.12\", expect_size=\"6440960\"] \n  19 -> 20 [size =\"6440960\"]\n  20 [size=\"123115520\", alpha=\"0.11\", expect_size=\"36934656\"] \n  20 -> 21 [size =\"36934656\"]\n  21 [size=\"118391467\", alpha=\"0.15\", expect_size=\"35517440\"] \n  21 -> 22 [size =\"35517440\"]\n  22 [size=\"163853653\", alpha=\"0.03\", expect_size=\"49156096\"] \n  22 -> 23 [size =\"49156096\"]\n  23 [size=\"29228373\", alpha=\"0.10\", expect_size=\"8768512\"] \n  23 -> 24 [size =\"8768512\"]\n  24 [size=\"141257387\", alpha=\"0.05\", expect_size=\"42377216\"] \n  24 -> 25 [size =\"42377216\"]\n  25 [size=\"36099413\", alpha=\"0.08\", expect_size=\"10829824\"] \n  25 -> 26 [size =\"10829824\"]\n  26 [size=\"52159147\", alpha=\"0.08\", expect_size=\"15647744\"] \n  26 -> 27 [size =\"15647744\"]\n  27 [size=\"162030933\", alpha=\"0.12\", expect_size=\"48609280\"] \n  27 -> 28 [size =\"48609280\"]\n  28 [size=\"61805227\", alpha=\"0.19\", expect_size=\"18541568\"] \n  28 -> 29 [size =\"18541568\"]\n  29 [size=\"39181653\", alpha=\"0.02\", expect_size=\"11754496\"] \n  29 -> 30 [size =\"11754496\"]\n  30 [size=\"134287360\", alpha=\"0.04\", expect_size=\"40286208\"] \n  30 -> 31 [size =\"40286208\"]\n  31 [size=\"67273387\", alpha=\"0.14\", expect_size=\"20182016\"] \n  31 -> 32 [size =\"20182016\"]\n  32 [size=\"29815467\", alpha=\"0.10\", expect_size=\"8944640\"] \n  32 -> 33 [size =\"8944640\"]\n  33 [size=\"50397867\", alpha=\"0.15\", expect_size=\"15119360\"] \n  33 -> 34 [size =\"15119360\"]\n  34 [size=\"130491733\", alpha=\"0.18\", expect_size=\"39147520\"] \n  34 -> 35 [size =\"39147520\"]\n  35 [size=\"172724907\", alpha=\"0.18\", expect_size=\"51817472\"] \n  35 -> 36 [size =\"51817472\"]\n  36 [size=\"76250453\", alpha=\"0.16\", expect_size=\"22875136\"] \n  36 -> 37 [size =\"22875136\"]\n  37 [size=\"137871360\", alpha=\"0.05\", expect_size=\"41361408\"] \n  37 -> 38 [size =\"41361408\"]\n  38 [size=\"73007787\", alpha=\"0.15\", expect_size=\"21902336\"] \n  38 -> 39 [size =\"21902336\"]\n  39 [size=\"67983360\", alpha=\"0.05\", expect_size=\"20395008\"] \n  39 -> 40 [size =\"20395008\"]\n  40 [size=\"86845440\", alpha=\"0.09\", expect_size=\"26053632\"] \n  40 -> 41 [size =\"26053632\"]\n  41 [size=\"118493867\", alpha=\"0.05\", expect_size=\"35548160\"] \n  41 -> 42 [size =\"35548160\"]\n  42 [size=\"74417493\", alpha=\"0.00\", expect_size=\"22325248\"] \n  42 -> 43 [size =\"22325248\"]\n  43 [size=\"152893440\", alpha=\"0.17\", expect_size=\"45868032\"] \n  43 -> 44 [size =\"45868032\"]\n  44 [size=\"115940693\", alpha=\"0.09\", expect_size=\"34782208\"] \n  44 -> 45 [size =\"34782208\"]\n  45 [size=\"102894933\", alpha=\"0.04\", expect_size=\"30868480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52462933\", alpha=\"0.16\", expect_size=\"15738880\"] \n  1 -> 3 [size =\"15738880\"]\n  1 -> 4 [size =\"15738880\"]\n  2 [size=\"28900693\", alpha=\"0.10\", expect_size=\"8670208\"] \n  2 -> 4 [size =\"8670208\"]\n  2 -> 5 [size =\"8670208\"]\n  3 [size=\"174021973\", alpha=\"0.11\", expect_size=\"52206592\"] \n  3 -> 7 [size =\"52206592\"]\n  4 [size=\"71905280\", alpha=\"0.11\", expect_size=\"21571584\"] \n  4 -> 6 [size =\"21571584\"]\n  5 [size=\"74338987\", alpha=\"0.08\", expect_size=\"22301696\"] \n  5 -> 6 [size =\"22301696\"]\n  5 -> 8 [size =\"22301696\"]\n  6 [size=\"171243520\", alpha=\"0.12\", expect_size=\"51373056\"] \n  6 -> 9 [size =\"51373056\"]\n  6 -> 10 [size =\"51373056\"]\n  7 [size=\"48305493\", alpha=\"0.12\", expect_size=\"14491648\"] \n  7 -> 9 [size =\"14491648\"]\n  8 [size=\"109168640\", alpha=\"0.18\", expect_size=\"32750592\"] \n  8 -> 11 [size =\"32750592\"]\n  9 [size=\"22917120\", alpha=\"0.07\", expect_size=\"6875136\"] \n  10 [size=\"165741227\", alpha=\"0.07\", expect_size=\"49722368\"] \n  10 -> 13 [size =\"49722368\"]\n  10 -> 14 [size =\"49722368\"]\n  11 [size=\"152272213\", alpha=\"0.06\", expect_size=\"45681664\"] \n  11 -> 12 [size =\"45681664\"]\n  11 -> 13 [size =\"45681664\"]\n  11 -> 14 [size =\"45681664\"]\n  12 [size=\"122651307\", alpha=\"0.08\", expect_size=\"36795392\"] \n  12 -> 15 [size =\"36795392\"]\n  13 [size=\"43690667\", alpha=\"0.16\", expect_size=\"13107200\"] \n  14 [size=\"126661973\", alpha=\"0.09\", expect_size=\"37998592\"] \n  14 -> 15 [size =\"37998592\"]\n  14 -> 16 [size =\"37998592\"]\n  15 [size=\"54237867\", alpha=\"0.14\", expect_size=\"16271360\"] \n  15 -> 17 [size =\"16271360\"]\n  15 -> 18 [size =\"16271360\"]\n  16 [size=\"114469547\", alpha=\"0.10\", expect_size=\"34340864\"] \n  16 -> 18 [size =\"34340864\"]\n  17 [size=\"48599040\", alpha=\"0.09\", expect_size=\"14579712\"] \n  17 -> 20 [size =\"14579712\"]\n  18 [size=\"144984747\", alpha=\"0.11\", expect_size=\"43495424\"] \n  18 -> 19 [size =\"43495424\"]\n  18 -> 20 [size =\"43495424\"]\n  19 [size=\"128614400\", alpha=\"0.01\", expect_size=\"38584320\"] \n  19 -> 21 [size =\"38584320\"]\n  19 -> 22 [size =\"38584320\"]\n  20 [size=\"29491200\", alpha=\"0.05\", expect_size=\"8847360\"] \n  20 -> 21 [size =\"8847360\"]\n  21 [size=\"84910080\", alpha=\"0.13\", expect_size=\"25473024\"] \n  21 -> 23 [size =\"25473024\"]\n  22 [size=\"134594560\", alpha=\"0.03\", expect_size=\"40378368\"] \n  22 -> 23 [size =\"40378368\"]\n  22 -> 24 [size =\"40378368\"]\n  23 [size=\"43158187\", alpha=\"0.12\", expect_size=\"12947456\"] \n  24 [size=\"169574400\", alpha=\"0.09\", expect_size=\"50872320\"] \n  24 -> 25 [size =\"50872320\"]\n  24 -> 26 [size =\"50872320\"]\n  25 [size=\"82353493\", alpha=\"0.13\", expect_size=\"24706048\"] \n  25 -> 28 [size =\"24706048\"]\n  26 [size=\"33109333\", alpha=\"0.16\", expect_size=\"9932800\"] \n  26 -> 27 [size =\"9932800\"]\n  26 -> 28 [size =\"9932800\"]\n  27 [size=\"109318827\", alpha=\"0.03\", expect_size=\"32795648\"] \n  27 -> 30 [size =\"32795648\"]\n  28 [size=\"24797867\", alpha=\"0.02\", expect_size=\"7439360\"] \n  28 -> 29 [size =\"7439360\"]\n  29 [size=\"107847680\", alpha=\"0.02\", expect_size=\"32354304\"] \n  30 [size=\"114715307\", alpha=\"0.00\", expect_size=\"34414592\"] \n  30 -> 31 [size =\"34414592\"]\n  30 -> 32 [size =\"34414592\"]\n  31 [size=\"151524693\", alpha=\"0.16\", expect_size=\"45457408\"] \n  31 -> 34 [size =\"45457408\"]\n  32 [size=\"95976107\", alpha=\"0.05\", expect_size=\"28792832\"] \n  32 -> 33 [size =\"28792832\"]\n  32 -> 34 [size =\"28792832\"]\n  33 [size=\"116783787\", alpha=\"0.17\", expect_size=\"35035136\"] \n  33 -> 35 [size =\"35035136\"]\n  33 -> 36 [size =\"35035136\"]\n  34 [size=\"55920640\", alpha=\"0.03\", expect_size=\"16776192\"] \n  34 -> 36 [size =\"16776192\"]\n  34 -> 37 [size =\"16776192\"]\n  35 [size=\"125105493\", alpha=\"0.14\", expect_size=\"37531648\"] \n  35 -> 38 [size =\"37531648\"]\n  36 [size=\"66624853\", alpha=\"0.17\", expect_size=\"19987456\"] \n  36 -> 39 [size =\"19987456\"]\n  36 -> 40 [size =\"19987456\"]\n  37 [size=\"34252800\", alpha=\"0.04\", expect_size=\"10275840\"] \n  38 [size=\"58818560\", alpha=\"0.08\", expect_size=\"17645568\"] \n  38 -> 41 [size =\"17645568\"]\n  38 -> 42 [size =\"17645568\"]\n  39 [size=\"74724693\", alpha=\"0.05\", expect_size=\"22417408\"] \n  39 -> 42 [size =\"22417408\"]\n  39 -> 43 [size =\"22417408\"]\n  40 [size=\"87415467\", alpha=\"0.04\", expect_size=\"26224640\"] \n  40 -> 43 [size =\"26224640\"]\n  41 [size=\"87876267\", alpha=\"0.12\", expect_size=\"26362880\"] \n  42 [size=\"53613227\", alpha=\"0.14\", expect_size=\"16083968\"] \n  42 -> 45 [size =\"16083968\"]\n  43 [size=\"89804800\", alpha=\"0.20\", expect_size=\"26941440\"] \n  43 -> 44 [size =\"26941440\"]\n  44 [size=\"65382400\", alpha=\"0.05\", expect_size=\"19614720\"] \n  45 [size=\"89528320\", alpha=\"0.18\", expect_size=\"26858496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69012480\", alpha=\"0.20\", expect_size=\"27604992\"] \n  1 -> 2 [size =\"27604992\"]\n  2 [size=\"101757440\", alpha=\"0.18\", expect_size=\"40702976\"] \n  2 -> 3 [size =\"40702976\"]\n  3 [size=\"34726400\", alpha=\"0.07\", expect_size=\"13890560\"] \n  3 -> 4 [size =\"13890560\"]\n  4 [size=\"28771840\", alpha=\"0.17\", expect_size=\"11508736\"] \n  4 -> 5 [size =\"11508736\"]\n  5 [size=\"67261440\", alpha=\"0.12\", expect_size=\"26904576\"] \n  5 -> 6 [size =\"26904576\"]\n  6 [size=\"118312960\", alpha=\"0.03\", expect_size=\"47325184\"] \n  6 -> 7 [size =\"47325184\"]\n  7 [size=\"39987200\", alpha=\"0.12\", expect_size=\"15994880\"] \n  7 -> 8 [size =\"15994880\"]\n  8 [size=\"61048320\", alpha=\"0.19\", expect_size=\"24419328\"] \n  8 -> 9 [size =\"24419328\"]\n  9 [size=\"100024320\", alpha=\"0.18\", expect_size=\"40009728\"] \n  9 -> 10 [size =\"40009728\"]\n  10 [size=\"103472640\", alpha=\"0.03\", expect_size=\"41389056\"] \n  10 -> 11 [size =\"41389056\"]\n  11 [size=\"45038080\", alpha=\"0.04\", expect_size=\"18015232\"] \n  11 -> 12 [size =\"18015232\"]\n  12 [size=\"43100160\", alpha=\"0.12\", expect_size=\"17240064\"] \n  12 -> 13 [size =\"17240064\"]\n  13 [size=\"29440000\", alpha=\"0.03\", expect_size=\"11776000\"] \n  13 -> 14 [size =\"11776000\"]\n  14 [size=\"68940800\", alpha=\"0.19\", expect_size=\"27576320\"] \n  14 -> 15 [size =\"27576320\"]\n  15 [size=\"53143040\", alpha=\"0.20\", expect_size=\"21257216\"] \n  15 -> 16 [size =\"21257216\"]\n  16 [size=\"126174720\", alpha=\"0.07\", expect_size=\"50469888\"] \n  16 -> 17 [size =\"50469888\"]\n  17 [size=\"23907840\", alpha=\"0.09\", expect_size=\"9563136\"] \n  17 -> 18 [size =\"9563136\"]\n  18 [size=\"94248960\", alpha=\"0.00\", expect_size=\"37699584\"] \n  18 -> 19 [size =\"37699584\"]\n  19 [size=\"85849600\", alpha=\"0.04\", expect_size=\"34339840\"] \n  19 -> 20 [size =\"34339840\"]\n  20 [size=\"74846720\", alpha=\"0.11\", expect_size=\"29938688\"] \n  20 -> 21 [size =\"29938688\"]\n  21 [size=\"91863040\", alpha=\"0.07\", expect_size=\"36745216\"] \n  21 -> 22 [size =\"36745216\"]\n  22 [size=\"116067840\", alpha=\"0.18\", expect_size=\"46427136\"] \n  22 -> 23 [size =\"46427136\"]\n  23 [size=\"71457280\", alpha=\"0.12\", expect_size=\"28582912\"] \n  23 -> 24 [size =\"28582912\"]\n  24 [size=\"88171520\", alpha=\"0.10\", expect_size=\"35268608\"] \n  24 -> 25 [size =\"35268608\"]\n  25 [size=\"84541440\", alpha=\"0.16\", expect_size=\"33816576\"] \n  25 -> 26 [size =\"33816576\"]\n  26 [size=\"83059200\", alpha=\"0.00\", expect_size=\"33223680\"] \n  26 -> 27 [size =\"33223680\"]\n  27 [size=\"122818560\", alpha=\"0.09\", expect_size=\"49127424\"] \n  27 -> 28 [size =\"49127424\"]\n  28 [size=\"58782720\", alpha=\"0.06\", expect_size=\"23513088\"] \n  28 -> 29 [size =\"23513088\"]\n  29 [size=\"59133440\", alpha=\"0.18\", expect_size=\"23653376\"] \n  29 -> 30 [size =\"23653376\"]\n  30 [size=\"85637120\", alpha=\"0.05\", expect_size=\"34254848\"] \n  30 -> 31 [size =\"34254848\"]\n  31 [size=\"32194560\", alpha=\"0.17\", expect_size=\"12877824\"] \n  31 -> 32 [size =\"12877824\"]\n  32 [size=\"72675840\", alpha=\"0.15\", expect_size=\"29070336\"] \n  32 -> 33 [size =\"29070336\"]\n  33 [size=\"59799040\", alpha=\"0.15\", expect_size=\"23919616\"] \n  33 -> 34 [size =\"23919616\"]\n  34 [size=\"15185920\", alpha=\"0.05\", expect_size=\"6074368\"] \n  34 -> 35 [size =\"6074368\"]\n  35 [size=\"72465920\", alpha=\"0.02\", expect_size=\"28986368\"] \n  35 -> 36 [size =\"28986368\"]\n  36 [size=\"49866240\", alpha=\"0.17\", expect_size=\"19946496\"] \n  36 -> 37 [size =\"19946496\"]\n  37 [size=\"52592640\", alpha=\"0.15\", expect_size=\"21037056\"] \n  37 -> 38 [size =\"21037056\"]\n  38 [size=\"107525120\", alpha=\"0.06\", expect_size=\"43010048\"] \n  38 -> 39 [size =\"43010048\"]\n  39 [size=\"26677760\", alpha=\"0.10\", expect_size=\"10671104\"] \n  39 -> 40 [size =\"10671104\"]\n  40 [size=\"14929920\", alpha=\"0.04\", expect_size=\"5971968\"] \n  40 -> 41 [size =\"5971968\"]\n  41 [size=\"44689920\", alpha=\"0.12\", expect_size=\"17875968\"] \n  41 -> 42 [size =\"17875968\"]\n  42 [size=\"29923840\", alpha=\"0.16\", expect_size=\"11969536\"] \n  42 -> 43 [size =\"11969536\"]\n  43 [size=\"118589440\", alpha=\"0.11\", expect_size=\"47435776\"] \n  43 -> 44 [size =\"47435776\"]\n  44 [size=\"91089920\", alpha=\"0.19\", expect_size=\"36435968\"] \n  44 -> 45 [size =\"36435968\"]\n  45 [size=\"121226240\", alpha=\"0.18\", expect_size=\"48490496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25043627\", alpha=\"0.19\", expect_size=\"7513088\"] \n  1 -> 4 [size =\"7513088\"]\n  2 [size=\"93136213\", alpha=\"0.19\", expect_size=\"27940864\"] \n  2 -> 3 [size =\"27940864\"]\n  2 -> 4 [size =\"27940864\"]\n  2 -> 5 [size =\"27940864\"]\n  3 [size=\"168110080\", alpha=\"0.19\", expect_size=\"50433024\"] \n  3 -> 7 [size =\"50433024\"]\n  4 [size=\"23176533\", alpha=\"0.06\", expect_size=\"6952960\"] \n  4 -> 6 [size =\"6952960\"]\n  5 [size=\"59972267\", alpha=\"0.15\", expect_size=\"17991680\"] \n  5 -> 6 [size =\"17991680\"]\n  6 [size=\"100625067\", alpha=\"0.18\", expect_size=\"30187520\"] \n  6 -> 8 [size =\"30187520\"]\n  6 -> 9 [size =\"30187520\"]\n  7 [size=\"91688960\", alpha=\"0.10\", expect_size=\"27506688\"] \n  7 -> 8 [size =\"27506688\"]\n  8 [size=\"101085867\", alpha=\"0.13\", expect_size=\"30325760\"] \n  8 -> 11 [size =\"30325760\"]\n  9 [size=\"141755733\", alpha=\"0.12\", expect_size=\"42526720\"] \n  9 -> 10 [size =\"42526720\"]\n  10 [size=\"36792320\", alpha=\"0.02\", expect_size=\"11037696\"] \n  11 [size=\"85138773\", alpha=\"0.04\", expect_size=\"25541632\"] \n  11 -> 12 [size =\"25541632\"]\n  11 -> 13 [size =\"25541632\"]\n  12 [size=\"73847467\", alpha=\"0.11\", expect_size=\"22154240\"] \n  12 -> 14 [size =\"22154240\"]\n  12 -> 15 [size =\"22154240\"]\n  12 -> 16 [size =\"22154240\"]\n  13 [size=\"68638720\", alpha=\"0.18\", expect_size=\"20591616\"] \n  13 -> 14 [size =\"20591616\"]\n  13 -> 15 [size =\"20591616\"]\n  13 -> 16 [size =\"20591616\"]\n  14 [size=\"57647787\", alpha=\"0.03\", expect_size=\"17294336\"] \n  14 -> 18 [size =\"17294336\"]\n  15 [size=\"102519467\", alpha=\"0.07\", expect_size=\"30755840\"] \n  15 -> 17 [size =\"30755840\"]\n  16 [size=\"61040640\", alpha=\"0.20\", expect_size=\"18312192\"] \n  17 [size=\"41973760\", alpha=\"0.18\", expect_size=\"12592128\"] \n  17 -> 19 [size =\"12592128\"]\n  18 [size=\"124426240\", alpha=\"0.18\", expect_size=\"37327872\"] \n  18 -> 19 [size =\"37327872\"]\n  18 -> 20 [size =\"37327872\"]\n  18 -> 21 [size =\"37327872\"]\n  19 [size=\"66904747\", alpha=\"0.09\", expect_size=\"20071424\"] \n  20 [size=\"160464213\", alpha=\"0.11\", expect_size=\"48139264\"] \n  20 -> 22 [size =\"48139264\"]\n  21 [size=\"20428800\", alpha=\"0.14\", expect_size=\"6128640\"] \n  21 -> 23 [size =\"6128640\"]\n  22 [size=\"55347200\", alpha=\"0.06\", expect_size=\"16604160\"] \n  23 [size=\"145223680\", alpha=\"0.18\", expect_size=\"43567104\"] \n  23 -> 24 [size =\"43567104\"]\n  23 -> 25 [size =\"43567104\"]\n  24 [size=\"126457173\", alpha=\"0.10\", expect_size=\"37937152\"] \n  24 -> 26 [size =\"37937152\"]\n  24 -> 27 [size =\"37937152\"]\n  25 [size=\"150855680\", alpha=\"0.08\", expect_size=\"45256704\"] \n  25 -> 26 [size =\"45256704\"]\n  26 [size=\"49527467\", alpha=\"0.16\", expect_size=\"14858240\"] \n  26 -> 29 [size =\"14858240\"]\n  27 [size=\"46554453\", alpha=\"0.14\", expect_size=\"13966336\"] \n  27 -> 28 [size =\"13966336\"]\n  27 -> 29 [size =\"13966336\"]\n  28 [size=\"27286187\", alpha=\"0.03\", expect_size=\"8185856\"] \n  28 -> 30 [size =\"8185856\"]\n  28 -> 31 [size =\"8185856\"]\n  28 -> 32 [size =\"8185856\"]\n  29 [size=\"165829973\", alpha=\"0.07\", expect_size=\"49748992\"] \n  29 -> 31 [size =\"49748992\"]\n  29 -> 32 [size =\"49748992\"]\n  30 [size=\"77598720\", alpha=\"0.14\", expect_size=\"23279616\"] \n  30 -> 34 [size =\"23279616\"]\n  31 [size=\"161986560\", alpha=\"0.09\", expect_size=\"48595968\"] \n  31 -> 35 [size =\"48595968\"]\n  32 [size=\"111998293\", alpha=\"0.12\", expect_size=\"33599488\"] \n  32 -> 33 [size =\"33599488\"]\n  32 -> 34 [size =\"33599488\"]\n  33 [size=\"160576853\", alpha=\"0.01\", expect_size=\"48173056\"] \n  33 -> 36 [size =\"48173056\"]\n  34 [size=\"143790080\", alpha=\"0.15\", expect_size=\"43137024\"] \n  34 -> 37 [size =\"43137024\"]\n  35 [size=\"67338240\", alpha=\"0.20\", expect_size=\"20201472\"] \n  35 -> 36 [size =\"20201472\"]\n  36 [size=\"131007147\", alpha=\"0.10\", expect_size=\"39302144\"] \n  36 -> 38 [size =\"39302144\"]\n  36 -> 39 [size =\"39302144\"]\n  36 -> 40 [size =\"39302144\"]\n  37 [size=\"103376213\", alpha=\"0.04\", expect_size=\"31012864\"] \n  37 -> 38 [size =\"31012864\"]\n  37 -> 39 [size =\"31012864\"]\n  37 -> 40 [size =\"31012864\"]\n  38 [size=\"58654720\", alpha=\"0.11\", expect_size=\"17596416\"] \n  38 -> 41 [size =\"17596416\"]\n  38 -> 42 [size =\"17596416\"]\n  38 -> 43 [size =\"17596416\"]\n  39 [size=\"80455680\", alpha=\"0.04\", expect_size=\"24136704\"] \n  39 -> 42 [size =\"24136704\"]\n  40 [size=\"135778987\", alpha=\"0.16\", expect_size=\"40733696\"] \n  41 [size=\"86657707\", alpha=\"0.08\", expect_size=\"25997312\"] \n  42 [size=\"158037333\", alpha=\"0.05\", expect_size=\"47411200\"] \n  42 -> 44 [size =\"47411200\"]\n  43 [size=\"91726507\", alpha=\"0.18\", expect_size=\"27517952\"] \n  43 -> 45 [size =\"27517952\"]\n  44 [size=\"96170667\", alpha=\"0.05\", expect_size=\"28851200\"] \n  45 [size=\"54254933\", alpha=\"0.09\", expect_size=\"16276480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158631253\", alpha=\"0.02\", expect_size=\"47589376\"] \n  1 -> 22 [size =\"47589376\"]\n  1 -> 24 [size =\"47589376\"]\n  1 -> 25 [size =\"47589376\"]\n  1 -> 26 [size =\"47589376\"]\n  1 -> 30 [size =\"47589376\"]\n  2 [size=\"121876480\", alpha=\"0.15\", expect_size=\"36562944\"] \n  2 -> 21 [size =\"36562944\"]\n  2 -> 24 [size =\"36562944\"]\n  2 -> 26 [size =\"36562944\"]\n  2 -> 28 [size =\"36562944\"]\n  2 -> 30 [size =\"36562944\"]\n  2 -> 31 [size =\"36562944\"]\n  2 -> 33 [size =\"36562944\"]\n  3 [size=\"53254827\", alpha=\"0.09\", expect_size=\"15976448\"] \n  3 -> 18 [size =\"15976448\"]\n  3 -> 19 [size =\"15976448\"]\n  3 -> 20 [size =\"15976448\"]\n  3 -> 21 [size =\"15976448\"]\n  3 -> 22 [size =\"15976448\"]\n  3 -> 28 [size =\"15976448\"]\n  3 -> 30 [size =\"15976448\"]\n  3 -> 32 [size =\"15976448\"]\n  4 [size=\"105465173\", alpha=\"0.09\", expect_size=\"31639552\"] \n  4 -> 18 [size =\"31639552\"]\n  4 -> 25 [size =\"31639552\"]\n  4 -> 28 [size =\"31639552\"]\n  4 -> 30 [size =\"31639552\"]\n  5 [size=\"56814933\", alpha=\"0.11\", expect_size=\"17044480\"] \n  5 -> 21 [size =\"17044480\"]\n  5 -> 25 [size =\"17044480\"]\n  5 -> 26 [size =\"17044480\"]\n  5 -> 27 [size =\"17044480\"]\n  5 -> 28 [size =\"17044480\"]\n  5 -> 30 [size =\"17044480\"]\n  6 [size=\"47694507\", alpha=\"0.05\", expect_size=\"14308352\"] \n  6 -> 20 [size =\"14308352\"]\n  6 -> 23 [size =\"14308352\"]\n  6 -> 24 [size =\"14308352\"]\n  6 -> 26 [size =\"14308352\"]\n  6 -> 27 [size =\"14308352\"]\n  6 -> 28 [size =\"14308352\"]\n  6 -> 30 [size =\"14308352\"]\n  6 -> 31 [size =\"14308352\"]\n  6 -> 33 [size =\"14308352\"]\n  7 [size=\"101666133\", alpha=\"0.02\", expect_size=\"30499840\"] \n  7 -> 19 [size =\"30499840\"]\n  7 -> 20 [size =\"30499840\"]\n  7 -> 22 [size =\"30499840\"]\n  7 -> 25 [size =\"30499840\"]\n  7 -> 26 [size =\"30499840\"]\n  7 -> 27 [size =\"30499840\"]\n  7 -> 28 [size =\"30499840\"]\n  7 -> 29 [size =\"30499840\"]\n  7 -> 30 [size =\"30499840\"]\n  7 -> 32 [size =\"30499840\"]\n  8 [size=\"84343467\", alpha=\"0.15\", expect_size=\"25303040\"] \n  8 -> 18 [size =\"25303040\"]\n  8 -> 19 [size =\"25303040\"]\n  8 -> 21 [size =\"25303040\"]\n  8 -> 22 [size =\"25303040\"]\n  8 -> 25 [size =\"25303040\"]\n  8 -> 26 [size =\"25303040\"]\n  8 -> 28 [size =\"25303040\"]\n  8 -> 30 [size =\"25303040\"]\n  8 -> 33 [size =\"25303040\"]\n  9 [size=\"146595840\", alpha=\"0.08\", expect_size=\"43978752\"] \n  9 -> 20 [size =\"43978752\"]\n  9 -> 21 [size =\"43978752\"]\n  9 -> 21 [size =\"43978752\"]\n  9 -> 27 [size =\"43978752\"]\n  9 -> 28 [size =\"43978752\"]\n  9 -> 32 [size =\"43978752\"]\n  10 [size=\"20336640\", alpha=\"0.03\", expect_size=\"6100992\"] \n  10 -> 21 [size =\"6100992\"]\n  10 -> 21 [size =\"6100992\"]\n  10 -> 24 [size =\"6100992\"]\n  10 -> 26 [size =\"6100992\"]\n  10 -> 28 [size =\"6100992\"]\n  10 -> 30 [size =\"6100992\"]\n  11 [size=\"108062720\", alpha=\"0.19\", expect_size=\"32418816\"] \n  11 -> 24 [size =\"32418816\"]\n  11 -> 32 [size =\"32418816\"]\n  11 -> 33 [size =\"32418816\"]\n  12 [size=\"121610240\", alpha=\"0.17\", expect_size=\"36483072\"] \n  12 -> 22 [size =\"36483072\"]\n  12 -> 24 [size =\"36483072\"]\n  12 -> 32 [size =\"36483072\"]\n  13 [size=\"83715413\", alpha=\"0.09\", expect_size=\"25114624\"] \n  13 -> 19 [size =\"25114624\"]\n  13 -> 20 [size =\"25114624\"]\n  13 -> 21 [size =\"25114624\"]\n  13 -> 22 [size =\"25114624\"]\n  13 -> 24 [size =\"25114624\"]\n  13 -> 25 [size =\"25114624\"]\n  13 -> 26 [size =\"25114624\"]\n  13 -> 32 [size =\"25114624\"]\n  14 [size=\"152500907\", alpha=\"0.02\", expect_size=\"45750272\"] \n  14 -> 25 [size =\"45750272\"]\n  14 -> 26 [size =\"45750272\"]\n  14 -> 29 [size =\"45750272\"]\n  14 -> 30 [size =\"45750272\"]\n  15 [size=\"65710080\", alpha=\"0.00\", expect_size=\"19713024\"] \n  15 -> 19 [size =\"19713024\"]\n  15 -> 20 [size =\"19713024\"]\n  15 -> 21 [size =\"19713024\"]\n  15 -> 25 [size =\"19713024\"]\n  16 [size=\"152053760\", alpha=\"0.18\", expect_size=\"45616128\"] \n  16 -> 18 [size =\"45616128\"]\n  16 -> 19 [size =\"45616128\"]\n  16 -> 20 [size =\"45616128\"]\n  16 -> 22 [size =\"45616128\"]\n  16 -> 25 [size =\"45616128\"]\n  16 -> 28 [size =\"45616128\"]\n  17 [size=\"36273493\", alpha=\"0.16\", expect_size=\"10882048\"] \n  17 -> 18 [size =\"10882048\"]\n  17 -> 19 [size =\"10882048\"]\n  17 -> 22 [size =\"10882048\"]\n  17 -> 24 [size =\"10882048\"]\n  17 -> 26 [size =\"10882048\"]\n  17 -> 32 [size =\"10882048\"]\n  18 [size=\"51998720\", alpha=\"0.04\", expect_size=\"15599616\"] \n  18 -> 34 [size =\"15599616\"]\n  18 -> 37 [size =\"15599616\"]\n  18 -> 38 [size =\"15599616\"]\n  18 -> 39 [size =\"15599616\"]\n  18 -> 40 [size =\"15599616\"]\n  18 -> 42 [size =\"15599616\"]\n  18 -> 44 [size =\"15599616\"]\n  19 [size=\"168192000\", alpha=\"0.08\", expect_size=\"50457600\"] \n  19 -> 35 [size =\"50457600\"]\n  19 -> 37 [size =\"50457600\"]\n  19 -> 38 [size =\"50457600\"]\n  20 [size=\"75997867\", alpha=\"0.12\", expect_size=\"22799360\"] \n  20 -> 37 [size =\"22799360\"]\n  20 -> 42 [size =\"22799360\"]\n  20 -> 44 [size =\"22799360\"]\n  21 [size=\"102447787\", alpha=\"0.13\", expect_size=\"30734336\"] \n  21 -> 34 [size =\"30734336\"]\n  21 -> 44 [size =\"30734336\"]\n  21 -> 45 [size =\"30734336\"]\n  22 [size=\"96604160\", alpha=\"0.08\", expect_size=\"28981248\"] \n  22 -> 43 [size =\"28981248\"]\n  22 -> 45 [size =\"28981248\"]\n  23 [size=\"69253120\", alpha=\"0.07\", expect_size=\"20775936\"] \n  23 -> 37 [size =\"20775936\"]\n  23 -> 38 [size =\"20775936\"]\n  23 -> 41 [size =\"20775936\"]\n  23 -> 44 [size =\"20775936\"]\n  24 [size=\"140663467\", alpha=\"0.17\", expect_size=\"42199040\"] \n  24 -> 34 [size =\"42199040\"]\n  24 -> 40 [size =\"42199040\"]\n  24 -> 45 [size =\"42199040\"]\n  25 [size=\"158655147\", alpha=\"0.13\", expect_size=\"47596544\"] \n  25 -> 34 [size =\"47596544\"]\n  25 -> 36 [size =\"47596544\"]\n  25 -> 39 [size =\"47596544\"]\n  25 -> 41 [size =\"47596544\"]\n  25 -> 42 [size =\"47596544\"]\n  25 -> 45 [size =\"47596544\"]\n  26 [size=\"161607680\", alpha=\"0.12\", expect_size=\"48482304\"] \n  26 -> 35 [size =\"48482304\"]\n  26 -> 38 [size =\"48482304\"]\n  26 -> 39 [size =\"48482304\"]\n  26 -> 42 [size =\"48482304\"]\n  26 -> 43 [size =\"48482304\"]\n  26 -> 44 [size =\"48482304\"]\n  27 [size=\"144636587\", alpha=\"0.02\", expect_size=\"43390976\"] \n  27 -> 44 [size =\"43390976\"]\n  27 -> 45 [size =\"43390976\"]\n  28 [size=\"110011733\", alpha=\"0.00\", expect_size=\"33003520\"] \n  28 -> 34 [size =\"33003520\"]\n  28 -> 40 [size =\"33003520\"]\n  29 [size=\"140953600\", alpha=\"0.15\", expect_size=\"42286080\"] \n  29 -> 40 [size =\"42286080\"]\n  30 [size=\"49373867\", alpha=\"0.10\", expect_size=\"14812160\"] \n  30 -> 34 [size =\"14812160\"]\n  30 -> 35 [size =\"14812160\"]\n  30 -> 41 [size =\"14812160\"]\n  30 -> 45 [size =\"14812160\"]\n  31 [size=\"141926400\", alpha=\"0.17\", expect_size=\"42577920\"] \n  31 -> 35 [size =\"42577920\"]\n  31 -> 39 [size =\"42577920\"]\n  31 -> 45 [size =\"42577920\"]\n  31 -> 45 [size =\"42577920\"]\n  32 [size=\"87910400\", alpha=\"0.17\", expect_size=\"26373120\"] \n  32 -> 35 [size =\"26373120\"]\n  32 -> 36 [size =\"26373120\"]\n  32 -> 37 [size =\"26373120\"]\n  32 -> 39 [size =\"26373120\"]\n  32 -> 40 [size =\"26373120\"]\n  32 -> 41 [size =\"26373120\"]\n  32 -> 44 [size =\"26373120\"]\n  33 [size=\"149012480\", alpha=\"0.05\", expect_size=\"44703744\"] \n  33 -> 34 [size =\"44703744\"]\n  33 -> 37 [size =\"44703744\"]\n  33 -> 38 [size =\"44703744\"]\n  33 -> 39 [size =\"44703744\"]\n  33 -> 42 [size =\"44703744\"]\n  33 -> 44 [size =\"44703744\"]\n  34 [size=\"46434987\", alpha=\"0.11\", expect_size=\"13930496\"] \n  35 [size=\"25460053\", alpha=\"0.03\", expect_size=\"7638016\"] \n  36 [size=\"125426347\", alpha=\"0.12\", expect_size=\"37627904\"] \n  37 [size=\"61982720\", alpha=\"0.03\", expect_size=\"18594816\"] \n  38 [size=\"76605440\", alpha=\"0.18\", expect_size=\"22981632\"] \n  39 [size=\"78878720\", alpha=\"0.13\", expect_size=\"23663616\"] \n  40 [size=\"40635733\", alpha=\"0.15\", expect_size=\"12190720\"] \n  41 [size=\"122026667\", alpha=\"0.08\", expect_size=\"36608000\"] \n  42 [size=\"99068587\", alpha=\"0.11\", expect_size=\"29720576\"] \n  43 [size=\"75892053\", alpha=\"0.01\", expect_size=\"22767616\"] \n  44 [size=\"118739627\", alpha=\"0.06\", expect_size=\"35621888\"] \n  45 [size=\"48069973\", alpha=\"0.10\", expect_size=\"14420992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26206208\", alpha=\"0.08\", expect_size=\"13103104\"] \n  1 -> 19 [size =\"13103104\"]\n  1 -> 20 [size =\"13103104\"]\n  1 -> 25 [size =\"13103104\"]\n  2 [size=\"100884480\", alpha=\"0.18\", expect_size=\"50442240\"] \n  2 -> 15 [size =\"50442240\"]\n  2 -> 17 [size =\"50442240\"]\n  2 -> 18 [size =\"50442240\"]\n  2 -> 22 [size =\"50442240\"]\n  2 -> 23 [size =\"50442240\"]\n  2 -> 25 [size =\"50442240\"]\n  3 [size=\"72060928\", alpha=\"0.17\", expect_size=\"36030464\"] \n  3 -> 17 [size =\"36030464\"]\n  3 -> 19 [size =\"36030464\"]\n  3 -> 25 [size =\"36030464\"]\n  3 -> 26 [size =\"36030464\"]\n  4 [size=\"83222528\", alpha=\"0.04\", expect_size=\"41611264\"] \n  4 -> 17 [size =\"41611264\"]\n  4 -> 25 [size =\"41611264\"]\n  4 -> 25 [size =\"41611264\"]\n  4 -> 27 [size =\"41611264\"]\n  5 [size=\"36513792\", alpha=\"0.12\", expect_size=\"18256896\"] \n  5 -> 15 [size =\"18256896\"]\n  5 -> 16 [size =\"18256896\"]\n  5 -> 17 [size =\"18256896\"]\n  5 -> 18 [size =\"18256896\"]\n  5 -> 23 [size =\"18256896\"]\n  5 -> 24 [size =\"18256896\"]\n  5 -> 25 [size =\"18256896\"]\n  5 -> 26 [size =\"18256896\"]\n  5 -> 28 [size =\"18256896\"]\n  6 [size=\"30017536\", alpha=\"0.13\", expect_size=\"15008768\"] \n  6 -> 18 [size =\"15008768\"]\n  6 -> 19 [size =\"15008768\"]\n  6 -> 20 [size =\"15008768\"]\n  6 -> 28 [size =\"15008768\"]\n  7 [size=\"39305216\", alpha=\"0.08\", expect_size=\"19652608\"] \n  7 -> 18 [size =\"19652608\"]\n  7 -> 19 [size =\"19652608\"]\n  7 -> 23 [size =\"19652608\"]\n  7 -> 25 [size =\"19652608\"]\n  7 -> 28 [size =\"19652608\"]\n  8 [size=\"94461952\", alpha=\"0.05\", expect_size=\"47230976\"] \n  8 -> 15 [size =\"47230976\"]\n  8 -> 17 [size =\"47230976\"]\n  8 -> 18 [size =\"47230976\"]\n  8 -> 23 [size =\"47230976\"]\n  8 -> 24 [size =\"47230976\"]\n  8 -> 28 [size =\"47230976\"]\n  9 [size=\"50434048\", alpha=\"0.05\", expect_size=\"25217024\"] \n  9 -> 15 [size =\"25217024\"]\n  9 -> 17 [size =\"25217024\"]\n  9 -> 18 [size =\"25217024\"]\n  9 -> 19 [size =\"25217024\"]\n  9 -> 23 [size =\"25217024\"]\n  9 -> 24 [size =\"25217024\"]\n  9 -> 28 [size =\"25217024\"]\n  10 [size=\"19261440\", alpha=\"0.09\", expect_size=\"9630720\"] \n  10 -> 15 [size =\"9630720\"]\n  10 -> 17 [size =\"9630720\"]\n  10 -> 19 [size =\"9630720\"]\n  10 -> 23 [size =\"9630720\"]\n  10 -> 23 [size =\"9630720\"]\n  10 -> 28 [size =\"9630720\"]\n  10 -> 28 [size =\"9630720\"]\n  11 [size=\"23181312\", alpha=\"0.09\", expect_size=\"11590656\"] \n  11 -> 15 [size =\"11590656\"]\n  11 -> 19 [size =\"11590656\"]\n  11 -> 20 [size =\"11590656\"]\n  11 -> 21 [size =\"11590656\"]\n  11 -> 22 [size =\"11590656\"]\n  11 -> 23 [size =\"11590656\"]\n  11 -> 24 [size =\"11590656\"]\n  12 [size=\"60018688\", alpha=\"0.07\", expect_size=\"30009344\"] \n  12 -> 15 [size =\"30009344\"]\n  12 -> 17 [size =\"30009344\"]\n  12 -> 18 [size =\"30009344\"]\n  12 -> 19 [size =\"30009344\"]\n  12 -> 20 [size =\"30009344\"]\n  12 -> 23 [size =\"30009344\"]\n  12 -> 24 [size =\"30009344\"]\n  13 [size=\"50788352\", alpha=\"0.12\", expect_size=\"25394176\"] \n  13 -> 15 [size =\"25394176\"]\n  13 -> 17 [size =\"25394176\"]\n  13 -> 18 [size =\"25394176\"]\n  13 -> 20 [size =\"25394176\"]\n  13 -> 23 [size =\"25394176\"]\n  13 -> 28 [size =\"25394176\"]\n  14 [size=\"38363136\", alpha=\"0.11\", expect_size=\"19181568\"] \n  14 -> 15 [size =\"19181568\"]\n  14 -> 17 [size =\"19181568\"]\n  14 -> 20 [size =\"19181568\"]\n  14 -> 27 [size =\"19181568\"]\n  14 -> 28 [size =\"19181568\"]\n  15 [size=\"55046144\", alpha=\"0.03\", expect_size=\"27523072\"] \n  15 -> 30 [size =\"27523072\"]\n  15 -> 33 [size =\"27523072\"]\n  15 -> 34 [size =\"27523072\"]\n  15 -> 36 [size =\"27523072\"]\n  15 -> 37 [size =\"27523072\"]\n  15 -> 38 [size =\"27523072\"]\n  15 -> 40 [size =\"27523072\"]\n  16 [size=\"16105472\", alpha=\"0.11\", expect_size=\"8052736\"] \n  16 -> 29 [size =\"8052736\"]\n  16 -> 32 [size =\"8052736\"]\n  16 -> 33 [size =\"8052736\"]\n  16 -> 35 [size =\"8052736\"]\n  16 -> 36 [size =\"8052736\"]\n  16 -> 38 [size =\"8052736\"]\n  17 [size=\"77832192\", alpha=\"0.18\", expect_size=\"38916096\"] \n  17 -> 29 [size =\"38916096\"]\n  17 -> 32 [size =\"38916096\"]\n  17 -> 33 [size =\"38916096\"]\n  17 -> 35 [size =\"38916096\"]\n  17 -> 38 [size =\"38916096\"]\n  17 -> 38 [size =\"38916096\"]\n  18 [size=\"20883456\", alpha=\"0.01\", expect_size=\"10441728\"] \n  18 -> 31 [size =\"10441728\"]\n  18 -> 32 [size =\"10441728\"]\n  18 -> 33 [size =\"10441728\"]\n  18 -> 36 [size =\"10441728\"]\n  18 -> 41 [size =\"10441728\"]\n  19 [size=\"42237952\", alpha=\"0.12\", expect_size=\"21118976\"] \n  19 -> 29 [size =\"21118976\"]\n  19 -> 31 [size =\"21118976\"]\n  19 -> 32 [size =\"21118976\"]\n  19 -> 33 [size =\"21118976\"]\n  19 -> 34 [size =\"21118976\"]\n  19 -> 38 [size =\"21118976\"]\n  19 -> 39 [size =\"21118976\"]\n  19 -> 40 [size =\"21118976\"]\n  20 [size=\"67446784\", alpha=\"0.15\", expect_size=\"33723392\"] \n  20 -> 30 [size =\"33723392\"]\n  20 -> 31 [size =\"33723392\"]\n  20 -> 33 [size =\"33723392\"]\n  20 -> 34 [size =\"33723392\"]\n  20 -> 35 [size =\"33723392\"]\n  20 -> 36 [size =\"33723392\"]\n  20 -> 38 [size =\"33723392\"]\n  20 -> 39 [size =\"33723392\"]\n  20 -> 40 [size =\"33723392\"]\n  21 [size=\"13944832\", alpha=\"0.01\", expect_size=\"6972416\"] \n  21 -> 30 [size =\"6972416\"]\n  21 -> 31 [size =\"6972416\"]\n  21 -> 32 [size =\"6972416\"]\n  21 -> 33 [size =\"6972416\"]\n  21 -> 35 [size =\"6972416\"]\n  21 -> 36 [size =\"6972416\"]\n  21 -> 37 [size =\"6972416\"]\n  21 -> 38 [size =\"6972416\"]\n  21 -> 39 [size =\"6972416\"]\n  22 [size=\"57759744\", alpha=\"0.07\", expect_size=\"28879872\"] \n  22 -> 33 [size =\"28879872\"]\n  22 -> 35 [size =\"28879872\"]\n  22 -> 36 [size =\"28879872\"]\n  22 -> 38 [size =\"28879872\"]\n  22 -> 40 [size =\"28879872\"]\n  23 [size=\"89702400\", alpha=\"0.05\", expect_size=\"44851200\"] \n  23 -> 29 [size =\"44851200\"]\n  23 -> 30 [size =\"44851200\"]\n  23 -> 31 [size =\"44851200\"]\n  23 -> 34 [size =\"44851200\"]\n  23 -> 35 [size =\"44851200\"]\n  23 -> 36 [size =\"44851200\"]\n  23 -> 37 [size =\"44851200\"]\n  23 -> 38 [size =\"44851200\"]\n  24 [size=\"52381696\", alpha=\"0.19\", expect_size=\"26190848\"] \n  24 -> 29 [size =\"26190848\"]\n  24 -> 30 [size =\"26190848\"]\n  24 -> 31 [size =\"26190848\"]\n  24 -> 33 [size =\"26190848\"]\n  24 -> 35 [size =\"26190848\"]\n  24 -> 37 [size =\"26190848\"]\n  24 -> 39 [size =\"26190848\"]\n  25 [size=\"103518208\", alpha=\"0.18\", expect_size=\"51759104\"] \n  25 -> 30 [size =\"51759104\"]\n  25 -> 31 [size =\"51759104\"]\n  25 -> 31 [size =\"51759104\"]\n  25 -> 40 [size =\"51759104\"]\n  25 -> 41 [size =\"51759104\"]\n  26 [size=\"21080064\", alpha=\"0.01\", expect_size=\"10540032\"] \n  26 -> 29 [size =\"10540032\"]\n  26 -> 31 [size =\"10540032\"]\n  26 -> 32 [size =\"10540032\"]\n  26 -> 35 [size =\"10540032\"]\n  26 -> 39 [size =\"10540032\"]\n  26 -> 40 [size =\"10540032\"]\n  27 [size=\"72384512\", alpha=\"0.11\", expect_size=\"36192256\"] \n  27 -> 29 [size =\"36192256\"]\n  27 -> 30 [size =\"36192256\"]\n  27 -> 31 [size =\"36192256\"]\n  27 -> 32 [size =\"36192256\"]\n  27 -> 33 [size =\"36192256\"]\n  27 -> 37 [size =\"36192256\"]\n  27 -> 39 [size =\"36192256\"]\n  27 -> 40 [size =\"36192256\"]\n  28 [size=\"62584832\", alpha=\"0.18\", expect_size=\"31292416\"] \n  28 -> 29 [size =\"31292416\"]\n  28 -> 30 [size =\"31292416\"]\n  28 -> 32 [size =\"31292416\"]\n  28 -> 35 [size =\"31292416\"]\n  28 -> 36 [size =\"31292416\"]\n  28 -> 37 [size =\"31292416\"]\n  28 -> 38 [size =\"31292416\"]\n  28 -> 39 [size =\"31292416\"]\n  28 -> 40 [size =\"31292416\"]\n  29 [size=\"68898816\", alpha=\"0.14\", expect_size=\"34449408\"] \n  29 -> 42 [size =\"34449408\"]\n  30 [size=\"33368064\", alpha=\"0.12\", expect_size=\"16684032\"] \n  30 -> 42 [size =\"16684032\"]\n  30 -> 43 [size =\"16684032\"]\n  30 -> 45 [size =\"16684032\"]\n  31 [size=\"11065344\", alpha=\"0.12\", expect_size=\"5532672\"] \n  32 [size=\"17715200\", alpha=\"0.03\", expect_size=\"8857600\"] \n  32 -> 43 [size =\"8857600\"]\n  32 -> 45 [size =\"8857600\"]\n  33 [size=\"49344512\", alpha=\"0.02\", expect_size=\"24672256\"] \n  33 -> 42 [size =\"24672256\"]\n  34 [size=\"73160704\", alpha=\"0.08\", expect_size=\"36580352\"] \n  34 -> 42 [size =\"36580352\"]\n  35 [size=\"67524608\", alpha=\"0.02\", expect_size=\"33762304\"] \n  35 -> 42 [size =\"33762304\"]\n  36 [size=\"58468352\", alpha=\"0.18\", expect_size=\"29234176\"] \n  36 -> 45 [size =\"29234176\"]\n  37 [size=\"65521664\", alpha=\"0.08\", expect_size=\"32760832\"] \n  38 [size=\"23134208\", alpha=\"0.01\", expect_size=\"11567104\"] \n  38 -> 42 [size =\"11567104\"]\n  38 -> 44 [size =\"11567104\"]\n  39 [size=\"15282176\", alpha=\"0.20\", expect_size=\"7641088\"] \n  39 -> 42 [size =\"7641088\"]\n  39 -> 44 [size =\"7641088\"]\n  40 [size=\"81915904\", alpha=\"0.11\", expect_size=\"40957952\"] \n  40 -> 42 [size =\"40957952\"]\n  40 -> 43 [size =\"40957952\"]\n  40 -> 45 [size =\"40957952\"]\n  41 [size=\"43069440\", alpha=\"0.03\", expect_size=\"21534720\"] \n  41 -> 42 [size =\"21534720\"]\n  41 -> 43 [size =\"21534720\"]\n  41 -> 45 [size =\"21534720\"]\n  42 [size=\"100182016\", alpha=\"0.05\", expect_size=\"50091008\"] \n  43 [size=\"19673088\", alpha=\"0.04\", expect_size=\"9836544\"] \n  44 [size=\"30590976\", alpha=\"0.11\", expect_size=\"15295488\"] \n  45 [size=\"66439168\", alpha=\"0.19\", expect_size=\"33219584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59750400\", alpha=\"0.01\", expect_size=\"17925120\"] \n  1 -> 30 [size =\"17925120\"]\n  1 -> 31 [size =\"17925120\"]\n  1 -> 32 [size =\"17925120\"]\n  1 -> 35 [size =\"17925120\"]\n  1 -> 36 [size =\"17925120\"]\n  1 -> 37 [size =\"17925120\"]\n  1 -> 41 [size =\"17925120\"]\n  2 [size=\"91385173\", alpha=\"0.01\", expect_size=\"27415552\"] \n  2 -> 27 [size =\"27415552\"]\n  2 -> 32 [size =\"27415552\"]\n  2 -> 34 [size =\"27415552\"]\n  2 -> 36 [size =\"27415552\"]\n  2 -> 37 [size =\"27415552\"]\n  2 -> 41 [size =\"27415552\"]\n  2 -> 41 [size =\"27415552\"]\n  2 -> 44 [size =\"27415552\"]\n  2 -> 45 [size =\"27415552\"]\n  3 [size=\"171868160\", alpha=\"0.03\", expect_size=\"51560448\"] \n  3 -> 29 [size =\"51560448\"]\n  3 -> 30 [size =\"51560448\"]\n  3 -> 31 [size =\"51560448\"]\n  3 -> 32 [size =\"51560448\"]\n  3 -> 36 [size =\"51560448\"]\n  3 -> 37 [size =\"51560448\"]\n  3 -> 39 [size =\"51560448\"]\n  3 -> 43 [size =\"51560448\"]\n  3 -> 45 [size =\"51560448\"]\n  4 [size=\"109578240\", alpha=\"0.17\", expect_size=\"32873472\"] \n  4 -> 31 [size =\"32873472\"]\n  4 -> 32 [size =\"32873472\"]\n  4 -> 41 [size =\"32873472\"]\n  4 -> 44 [size =\"32873472\"]\n  4 -> 45 [size =\"32873472\"]\n  5 [size=\"161454080\", alpha=\"0.03\", expect_size=\"48436224\"] \n  5 -> 31 [size =\"48436224\"]\n  5 -> 32 [size =\"48436224\"]\n  5 -> 36 [size =\"48436224\"]\n  5 -> 37 [size =\"48436224\"]\n  5 -> 39 [size =\"48436224\"]\n  5 -> 42 [size =\"48436224\"]\n  5 -> 44 [size =\"48436224\"]\n  5 -> 45 [size =\"48436224\"]\n  6 [size=\"34304000\", alpha=\"0.10\", expect_size=\"10291200\"] \n  6 -> 27 [size =\"10291200\"]\n  6 -> 31 [size =\"10291200\"]\n  6 -> 32 [size =\"10291200\"]\n  6 -> 33 [size =\"10291200\"]\n  6 -> 36 [size =\"10291200\"]\n  6 -> 40 [size =\"10291200\"]\n  7 [size=\"104704000\", alpha=\"0.14\", expect_size=\"31411200\"] \n  7 -> 30 [size =\"31411200\"]\n  7 -> 32 [size =\"31411200\"]\n  7 -> 35 [size =\"31411200\"]\n  7 -> 36 [size =\"31411200\"]\n  7 -> 38 [size =\"31411200\"]\n  7 -> 40 [size =\"31411200\"]\n  8 [size=\"31013547\", alpha=\"0.17\", expect_size=\"9304064\"] \n  8 -> 29 [size =\"9304064\"]\n  8 -> 30 [size =\"9304064\"]\n  8 -> 31 [size =\"9304064\"]\n  8 -> 41 [size =\"9304064\"]\n  9 [size=\"108687360\", alpha=\"0.12\", expect_size=\"32606208\"] \n  9 -> 30 [size =\"32606208\"]\n  9 -> 30 [size =\"32606208\"]\n  9 -> 31 [size =\"32606208\"]\n  9 -> 35 [size =\"32606208\"]\n  9 -> 38 [size =\"32606208\"]\n  9 -> 41 [size =\"32606208\"]\n  10 [size=\"123163307\", alpha=\"0.20\", expect_size=\"36948992\"] \n  10 -> 32 [size =\"36948992\"]\n  10 -> 35 [size =\"36948992\"]\n  10 -> 38 [size =\"36948992\"]\n  11 [size=\"108608853\", alpha=\"0.03\", expect_size=\"32582656\"] \n  11 -> 35 [size =\"32582656\"]\n  11 -> 38 [size =\"32582656\"]\n  11 -> 39 [size =\"32582656\"]\n  11 -> 44 [size =\"32582656\"]\n  12 [size=\"113636693\", alpha=\"0.15\", expect_size=\"34091008\"] \n  12 -> 28 [size =\"34091008\"]\n  12 -> 31 [size =\"34091008\"]\n  12 -> 34 [size =\"34091008\"]\n  12 -> 35 [size =\"34091008\"]\n  12 -> 37 [size =\"34091008\"]\n  12 -> 41 [size =\"34091008\"]\n  12 -> 44 [size =\"34091008\"]\n  12 -> 45 [size =\"34091008\"]\n  13 [size=\"120685227\", alpha=\"0.17\", expect_size=\"36205568\"] \n  13 -> 27 [size =\"36205568\"]\n  13 -> 32 [size =\"36205568\"]\n  13 -> 36 [size =\"36205568\"]\n  13 -> 38 [size =\"36205568\"]\n  13 -> 40 [size =\"36205568\"]\n  13 -> 41 [size =\"36205568\"]\n  13 -> 43 [size =\"36205568\"]\n  13 -> 44 [size =\"36205568\"]\n  14 [size=\"147066880\", alpha=\"0.00\", expect_size=\"44120064\"] \n  14 -> 29 [size =\"44120064\"]\n  14 -> 32 [size =\"44120064\"]\n  14 -> 36 [size =\"44120064\"]\n  14 -> 40 [size =\"44120064\"]\n  14 -> 44 [size =\"44120064\"]\n  15 [size=\"126614187\", alpha=\"0.12\", expect_size=\"37984256\"] \n  15 -> 28 [size =\"37984256\"]\n  15 -> 30 [size =\"37984256\"]\n  15 -> 31 [size =\"37984256\"]\n  15 -> 32 [size =\"37984256\"]\n  15 -> 38 [size =\"37984256\"]\n  15 -> 45 [size =\"37984256\"]\n  16 [size=\"147688107\", alpha=\"0.01\", expect_size=\"44306432\"] \n  16 -> 32 [size =\"44306432\"]\n  16 -> 35 [size =\"44306432\"]\n  16 -> 41 [size =\"44306432\"]\n  16 -> 44 [size =\"44306432\"]\n  17 [size=\"72939520\", alpha=\"0.07\", expect_size=\"21881856\"] \n  17 -> 27 [size =\"21881856\"]\n  17 -> 31 [size =\"21881856\"]\n  17 -> 32 [size =\"21881856\"]\n  17 -> 35 [size =\"21881856\"]\n  17 -> 38 [size =\"21881856\"]\n  17 -> 39 [size =\"21881856\"]\n  17 -> 44 [size =\"21881856\"]\n  17 -> 45 [size =\"21881856\"]\n  18 [size=\"26405547\", alpha=\"0.03\", expect_size=\"7921664\"] \n  18 -> 27 [size =\"7921664\"]\n  18 -> 30 [size =\"7921664\"]\n  18 -> 31 [size =\"7921664\"]\n  18 -> 32 [size =\"7921664\"]\n  18 -> 34 [size =\"7921664\"]\n  18 -> 37 [size =\"7921664\"]\n  18 -> 38 [size =\"7921664\"]\n  18 -> 39 [size =\"7921664\"]\n  18 -> 44 [size =\"7921664\"]\n  18 -> 45 [size =\"7921664\"]\n  19 [size=\"158590293\", alpha=\"0.16\", expect_size=\"47577088\"] \n  19 -> 27 [size =\"47577088\"]\n  19 -> 28 [size =\"47577088\"]\n  19 -> 30 [size =\"47577088\"]\n  19 -> 31 [size =\"47577088\"]\n  19 -> 36 [size =\"47577088\"]\n  19 -> 37 [size =\"47577088\"]\n  19 -> 38 [size =\"47577088\"]\n  19 -> 39 [size =\"47577088\"]\n  20 [size=\"95505067\", alpha=\"0.05\", expect_size=\"28651520\"] \n  20 -> 27 [size =\"28651520\"]\n  20 -> 31 [size =\"28651520\"]\n  20 -> 35 [size =\"28651520\"]\n  20 -> 36 [size =\"28651520\"]\n  20 -> 37 [size =\"28651520\"]\n  20 -> 38 [size =\"28651520\"]\n  20 -> 40 [size =\"28651520\"]\n  20 -> 41 [size =\"28651520\"]\n  20 -> 42 [size =\"28651520\"]\n  21 [size=\"92928000\", alpha=\"0.01\", expect_size=\"27878400\"] \n  21 -> 27 [size =\"27878400\"]\n  21 -> 28 [size =\"27878400\"]\n  21 -> 30 [size =\"27878400\"]\n  21 -> 31 [size =\"27878400\"]\n  21 -> 36 [size =\"27878400\"]\n  21 -> 38 [size =\"27878400\"]\n  21 -> 41 [size =\"27878400\"]\n  22 [size=\"118606507\", alpha=\"0.05\", expect_size=\"35581952\"] \n  22 -> 35 [size =\"35581952\"]\n  22 -> 36 [size =\"35581952\"]\n  22 -> 41 [size =\"35581952\"]\n  22 -> 43 [size =\"35581952\"]\n  22 -> 44 [size =\"35581952\"]\n  23 [size=\"82926933\", alpha=\"0.09\", expect_size=\"24878080\"] \n  23 -> 28 [size =\"24878080\"]\n  23 -> 32 [size =\"24878080\"]\n  23 -> 36 [size =\"24878080\"]\n  23 -> 42 [size =\"24878080\"]\n  23 -> 44 [size =\"24878080\"]\n  24 [size=\"58019840\", alpha=\"0.05\", expect_size=\"17405952\"] \n  24 -> 30 [size =\"17405952\"]\n  24 -> 31 [size =\"17405952\"]\n  24 -> 35 [size =\"17405952\"]\n  24 -> 36 [size =\"17405952\"]\n  24 -> 38 [size =\"17405952\"]\n  24 -> 41 [size =\"17405952\"]\n  24 -> 43 [size =\"17405952\"]\n  24 -> 44 [size =\"17405952\"]\n  25 [size=\"59432960\", alpha=\"0.19\", expect_size=\"17829888\"] \n  25 -> 35 [size =\"17829888\"]\n  25 -> 37 [size =\"17829888\"]\n  25 -> 38 [size =\"17829888\"]\n  25 -> 41 [size =\"17829888\"]\n  25 -> 44 [size =\"17829888\"]\n  26 [size=\"153910613\", alpha=\"0.16\", expect_size=\"46173184\"] \n  26 -> 28 [size =\"46173184\"]\n  26 -> 30 [size =\"46173184\"]\n  26 -> 32 [size =\"46173184\"]\n  26 -> 36 [size =\"46173184\"]\n  26 -> 37 [size =\"46173184\"]\n  26 -> 38 [size =\"46173184\"]\n  26 -> 41 [size =\"46173184\"]\n  26 -> 42 [size =\"46173184\"]\n  26 -> 44 [size =\"46173184\"]\n  27 [size=\"164805973\", alpha=\"0.03\", expect_size=\"49441792\"] \n  28 [size=\"58729813\", alpha=\"0.12\", expect_size=\"17618944\"] \n  29 [size=\"86063787\", alpha=\"0.13\", expect_size=\"25819136\"] \n  30 [size=\"51766613\", alpha=\"0.07\", expect_size=\"15529984\"] \n  31 [size=\"94235307\", alpha=\"0.13\", expect_size=\"28270592\"] \n  32 [size=\"98457600\", alpha=\"0.11\", expect_size=\"29537280\"] \n  33 [size=\"138338987\", alpha=\"0.02\", expect_size=\"41501696\"] \n  34 [size=\"53705387\", alpha=\"0.10\", expect_size=\"16111616\"] \n  35 [size=\"93945173\", alpha=\"0.11\", expect_size=\"28183552\"] \n  36 [size=\"88459947\", alpha=\"0.09\", expect_size=\"26537984\"] \n  37 [size=\"54084267\", alpha=\"0.14\", expect_size=\"16225280\"] \n  38 [size=\"78045867\", alpha=\"0.00\", expect_size=\"23413760\"] \n  39 [size=\"173885440\", alpha=\"0.05\", expect_size=\"52165632\"] \n  40 [size=\"118237867\", alpha=\"0.19\", expect_size=\"35471360\"] \n  41 [size=\"174076587\", alpha=\"0.02\", expect_size=\"52222976\"] \n  42 [size=\"117968213\", alpha=\"0.19\", expect_size=\"35390464\"] \n  43 [size=\"46073173\", alpha=\"0.04\", expect_size=\"13821952\"] \n  44 [size=\"61600427\", alpha=\"0.14\", expect_size=\"18480128\"] \n  45 [size=\"136854187\", alpha=\"0.09\", expect_size=\"41056256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154255360\", alpha=\"0.18\", expect_size=\"46276608\"] \n  1 -> 32 [size =\"46276608\"]\n  1 -> 34 [size =\"46276608\"]\n  1 -> 37 [size =\"46276608\"]\n  1 -> 39 [size =\"46276608\"]\n  1 -> 39 [size =\"46276608\"]\n  1 -> 40 [size =\"46276608\"]\n  1 -> 41 [size =\"46276608\"]\n  1 -> 44 [size =\"46276608\"]\n  1 -> 45 [size =\"46276608\"]\n  2 [size=\"160020480\", alpha=\"0.13\", expect_size=\"48006144\"] \n  2 -> 32 [size =\"48006144\"]\n  2 -> 34 [size =\"48006144\"]\n  2 -> 39 [size =\"48006144\"]\n  2 -> 45 [size =\"48006144\"]\n  3 [size=\"109697707\", alpha=\"0.04\", expect_size=\"32909312\"] \n  3 -> 33 [size =\"32909312\"]\n  3 -> 34 [size =\"32909312\"]\n  3 -> 36 [size =\"32909312\"]\n  3 -> 39 [size =\"32909312\"]\n  3 -> 44 [size =\"32909312\"]\n  3 -> 45 [size =\"32909312\"]\n  4 [size=\"159334400\", alpha=\"0.09\", expect_size=\"47800320\"] \n  4 -> 32 [size =\"47800320\"]\n  4 -> 33 [size =\"47800320\"]\n  4 -> 34 [size =\"47800320\"]\n  4 -> 36 [size =\"47800320\"]\n  4 -> 39 [size =\"47800320\"]\n  4 -> 44 [size =\"47800320\"]\n  4 -> 45 [size =\"47800320\"]\n  5 [size=\"157419520\", alpha=\"0.10\", expect_size=\"47225856\"] \n  5 -> 32 [size =\"47225856\"]\n  5 -> 43 [size =\"47225856\"]\n  5 -> 44 [size =\"47225856\"]\n  5 -> 45 [size =\"47225856\"]\n  6 [size=\"115770027\", alpha=\"0.17\", expect_size=\"34731008\"] \n  6 -> 32 [size =\"34731008\"]\n  6 -> 34 [size =\"34731008\"]\n  6 -> 39 [size =\"34731008\"]\n  6 -> 40 [size =\"34731008\"]\n  6 -> 44 [size =\"34731008\"]\n  6 -> 45 [size =\"34731008\"]\n  7 [size=\"125467307\", alpha=\"0.12\", expect_size=\"37640192\"] \n  7 -> 32 [size =\"37640192\"]\n  7 -> 33 [size =\"37640192\"]\n  7 -> 37 [size =\"37640192\"]\n  7 -> 45 [size =\"37640192\"]\n  8 [size=\"66717013\", alpha=\"0.06\", expect_size=\"20015104\"] \n  8 -> 32 [size =\"20015104\"]\n  8 -> 33 [size =\"20015104\"]\n  8 -> 37 [size =\"20015104\"]\n  8 -> 39 [size =\"20015104\"]\n  9 [size=\"171789653\", alpha=\"0.15\", expect_size=\"51536896\"] \n  9 -> 32 [size =\"51536896\"]\n  9 -> 34 [size =\"51536896\"]\n  9 -> 35 [size =\"51536896\"]\n  9 -> 36 [size =\"51536896\"]\n  9 -> 39 [size =\"51536896\"]\n  9 -> 44 [size =\"51536896\"]\n  9 -> 45 [size =\"51536896\"]\n  10 [size=\"139772587\", alpha=\"0.07\", expect_size=\"41931776\"] \n  10 -> 32 [size =\"41931776\"]\n  10 -> 33 [size =\"41931776\"]\n  10 -> 36 [size =\"41931776\"]\n  10 -> 37 [size =\"41931776\"]\n  10 -> 41 [size =\"41931776\"]\n  11 [size=\"97160533\", alpha=\"0.13\", expect_size=\"29148160\"] \n  11 -> 32 [size =\"29148160\"]\n  11 -> 33 [size =\"29148160\"]\n  11 -> 34 [size =\"29148160\"]\n  11 -> 37 [size =\"29148160\"]\n  11 -> 39 [size =\"29148160\"]\n  11 -> 44 [size =\"29148160\"]\n  12 [size=\"80575147\", alpha=\"0.10\", expect_size=\"24172544\"] \n  12 -> 32 [size =\"24172544\"]\n  12 -> 33 [size =\"24172544\"]\n  12 -> 39 [size =\"24172544\"]\n  12 -> 40 [size =\"24172544\"]\n  12 -> 42 [size =\"24172544\"]\n  12 -> 44 [size =\"24172544\"]\n  13 [size=\"22097920\", alpha=\"0.15\", expect_size=\"6629376\"] \n  13 -> 32 [size =\"6629376\"]\n  13 -> 33 [size =\"6629376\"]\n  13 -> 34 [size =\"6629376\"]\n  13 -> 38 [size =\"6629376\"]\n  13 -> 39 [size =\"6629376\"]\n  13 -> 45 [size =\"6629376\"]\n  14 [size=\"50203307\", alpha=\"0.14\", expect_size=\"15060992\"] \n  14 -> 32 [size =\"15060992\"]\n  14 -> 39 [size =\"15060992\"]\n  14 -> 41 [size =\"15060992\"]\n  14 -> 45 [size =\"15060992\"]\n  15 [size=\"123170133\", alpha=\"0.04\", expect_size=\"36951040\"] \n  15 -> 32 [size =\"36951040\"]\n  15 -> 33 [size =\"36951040\"]\n  15 -> 41 [size =\"36951040\"]\n  16 [size=\"42270720\", alpha=\"0.11\", expect_size=\"12681216\"] \n  16 -> 32 [size =\"12681216\"]\n  16 -> 33 [size =\"12681216\"]\n  16 -> 35 [size =\"12681216\"]\n  16 -> 41 [size =\"12681216\"]\n  16 -> 44 [size =\"12681216\"]\n  16 -> 45 [size =\"12681216\"]\n  17 [size=\"173544107\", alpha=\"0.18\", expect_size=\"52063232\"] \n  17 -> 34 [size =\"52063232\"]\n  17 -> 37 [size =\"52063232\"]\n  17 -> 39 [size =\"52063232\"]\n  17 -> 44 [size =\"52063232\"]\n  17 -> 44 [size =\"52063232\"]\n  18 [size=\"109564587\", alpha=\"0.13\", expect_size=\"32869376\"] \n  18 -> 34 [size =\"32869376\"]\n  18 -> 37 [size =\"32869376\"]\n  18 -> 40 [size =\"32869376\"]\n  18 -> 41 [size =\"32869376\"]\n  19 [size=\"153480533\", alpha=\"0.03\", expect_size=\"46044160\"] \n  19 -> 32 [size =\"46044160\"]\n  19 -> 34 [size =\"46044160\"]\n  19 -> 37 [size =\"46044160\"]\n  20 [size=\"115770027\", alpha=\"0.07\", expect_size=\"34731008\"] \n  20 -> 32 [size =\"34731008\"]\n  20 -> 33 [size =\"34731008\"]\n  20 -> 34 [size =\"34731008\"]\n  20 -> 35 [size =\"34731008\"]\n  20 -> 39 [size =\"34731008\"]\n  20 -> 44 [size =\"34731008\"]\n  20 -> 45 [size =\"34731008\"]\n  21 [size=\"171929600\", alpha=\"0.08\", expect_size=\"51578880\"] \n  21 -> 33 [size =\"51578880\"]\n  21 -> 34 [size =\"51578880\"]\n  21 -> 41 [size =\"51578880\"]\n  21 -> 44 [size =\"51578880\"]\n  21 -> 45 [size =\"51578880\"]\n  22 [size=\"120241493\", alpha=\"0.08\", expect_size=\"36072448\"] \n  22 -> 35 [size =\"36072448\"]\n  22 -> 40 [size =\"36072448\"]\n  22 -> 44 [size =\"36072448\"]\n  22 -> 45 [size =\"36072448\"]\n  23 [size=\"41086293\", alpha=\"0.19\", expect_size=\"12325888\"] \n  23 -> 33 [size =\"12325888\"]\n  23 -> 34 [size =\"12325888\"]\n  23 -> 35 [size =\"12325888\"]\n  23 -> 37 [size =\"12325888\"]\n  23 -> 38 [size =\"12325888\"]\n  23 -> 39 [size =\"12325888\"]\n  23 -> 45 [size =\"12325888\"]\n  24 [size=\"155409067\", alpha=\"0.08\", expect_size=\"46622720\"] \n  24 -> 32 [size =\"46622720\"]\n  24 -> 34 [size =\"46622720\"]\n  24 -> 39 [size =\"46622720\"]\n  24 -> 40 [size =\"46622720\"]\n  24 -> 45 [size =\"46622720\"]\n  25 [size=\"106284373\", alpha=\"0.15\", expect_size=\"31885312\"] \n  25 -> 32 [size =\"31885312\"]\n  25 -> 36 [size =\"31885312\"]\n  25 -> 39 [size =\"31885312\"]\n  25 -> 45 [size =\"31885312\"]\n  25 -> 45 [size =\"31885312\"]\n  26 [size=\"135830187\", alpha=\"0.14\", expect_size=\"40749056\"] \n  26 -> 34 [size =\"40749056\"]\n  26 -> 36 [size =\"40749056\"]\n  27 [size=\"61945173\", alpha=\"0.08\", expect_size=\"18583552\"] \n  27 -> 32 [size =\"18583552\"]\n  27 -> 33 [size =\"18583552\"]\n  27 -> 34 [size =\"18583552\"]\n  27 -> 35 [size =\"18583552\"]\n  27 -> 45 [size =\"18583552\"]\n  28 [size=\"43103573\", alpha=\"0.07\", expect_size=\"12931072\"] \n  28 -> 32 [size =\"12931072\"]\n  28 -> 33 [size =\"12931072\"]\n  28 -> 36 [size =\"12931072\"]\n  28 -> 41 [size =\"12931072\"]\n  28 -> 44 [size =\"12931072\"]\n  29 [size=\"148517547\", alpha=\"0.06\", expect_size=\"44555264\"] \n  29 -> 37 [size =\"44555264\"]\n  29 -> 40 [size =\"44555264\"]\n  29 -> 44 [size =\"44555264\"]\n  29 -> 45 [size =\"44555264\"]\n  30 [size=\"171929600\", alpha=\"0.01\", expect_size=\"51578880\"] \n  30 -> 33 [size =\"51578880\"]\n  30 -> 34 [size =\"51578880\"]\n  30 -> 36 [size =\"51578880\"]\n  30 -> 37 [size =\"51578880\"]\n  30 -> 44 [size =\"51578880\"]\n  31 [size=\"68867413\", alpha=\"0.06\", expect_size=\"20660224\"] \n  31 -> 33 [size =\"20660224\"]\n  31 -> 34 [size =\"20660224\"]\n  31 -> 37 [size =\"20660224\"]\n  31 -> 37 [size =\"20660224\"]\n  31 -> 39 [size =\"20660224\"]\n  32 [size=\"133399893\", alpha=\"0.19\", expect_size=\"40019968\"] \n  33 [size=\"36215467\", alpha=\"0.12\", expect_size=\"10864640\"] \n  34 [size=\"26818560\", alpha=\"0.10\", expect_size=\"8045568\"] \n  35 [size=\"89791147\", alpha=\"0.01\", expect_size=\"26937344\"] \n  36 [size=\"50500267\", alpha=\"0.15\", expect_size=\"15150080\"] \n  37 [size=\"164529493\", alpha=\"0.09\", expect_size=\"49358848\"] \n  38 [size=\"68010667\", alpha=\"0.14\", expect_size=\"20403200\"] \n  39 [size=\"124760747\", alpha=\"0.17\", expect_size=\"37428224\"] \n  40 [size=\"174520320\", alpha=\"0.13\", expect_size=\"52356096\"] \n  41 [size=\"25016320\", alpha=\"0.08\", expect_size=\"7504896\"] \n  42 [size=\"70509227\", alpha=\"0.16\", expect_size=\"21152768\"] \n  43 [size=\"59521707\", alpha=\"0.08\", expect_size=\"17856512\"] \n  44 [size=\"153968640\", alpha=\"0.16\", expect_size=\"46190592\"] \n  45 [size=\"72004267\", alpha=\"0.16\", expect_size=\"21601280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43149312\", alpha=\"0.00\", expect_size=\"21574656\"] \n  1 -> 3 [size =\"21574656\"]\n  1 -> 4 [size =\"21574656\"]\n  1 -> 5 [size =\"21574656\"]\n  2 [size=\"64552960\", alpha=\"0.15\", expect_size=\"32276480\"] \n  2 -> 3 [size =\"32276480\"]\n  2 -> 4 [size =\"32276480\"]\n  2 -> 5 [size =\"32276480\"]\n  3 [size=\"50266112\", alpha=\"0.09\", expect_size=\"25133056\"] \n  3 -> 7 [size =\"25133056\"]\n  4 [size=\"98250752\", alpha=\"0.16\", expect_size=\"49125376\"] \n  4 -> 6 [size =\"49125376\"]\n  4 -> 7 [size =\"49125376\"]\n  5 [size=\"56705024\", alpha=\"0.05\", expect_size=\"28352512\"] \n  5 -> 6 [size =\"28352512\"]\n  5 -> 7 [size =\"28352512\"]\n  6 [size=\"81987584\", alpha=\"0.16\", expect_size=\"40993792\"] \n  6 -> 8 [size =\"40993792\"]\n  7 [size=\"103174144\", alpha=\"0.04\", expect_size=\"51587072\"] \n  7 -> 8 [size =\"51587072\"]\n  7 -> 9 [size =\"51587072\"]\n  8 [size=\"28143616\", alpha=\"0.19\", expect_size=\"14071808\"] \n  8 -> 10 [size =\"14071808\"]\n  8 -> 11 [size =\"14071808\"]\n  9 [size=\"35321856\", alpha=\"0.08\", expect_size=\"17660928\"] \n  9 -> 10 [size =\"17660928\"]\n  10 [size=\"69199872\", alpha=\"0.13\", expect_size=\"34599936\"] \n  10 -> 12 [size =\"34599936\"]\n  10 -> 13 [size =\"34599936\"]\n  10 -> 14 [size =\"34599936\"]\n  11 [size=\"38080512\", alpha=\"0.02\", expect_size=\"19040256\"] \n  11 -> 12 [size =\"19040256\"]\n  11 -> 13 [size =\"19040256\"]\n  11 -> 14 [size =\"19040256\"]\n  12 [size=\"39301120\", alpha=\"0.08\", expect_size=\"19650560\"] \n  12 -> 15 [size =\"19650560\"]\n  12 -> 17 [size =\"19650560\"]\n  13 [size=\"16132096\", alpha=\"0.15\", expect_size=\"8066048\"] \n  13 -> 16 [size =\"8066048\"]\n  14 [size=\"60016640\", alpha=\"0.04\", expect_size=\"30008320\"] \n  14 -> 15 [size =\"30008320\"]\n  14 -> 16 [size =\"30008320\"]\n  15 [size=\"39456768\", alpha=\"0.03\", expect_size=\"19728384\"] \n  15 -> 18 [size =\"19728384\"]\n  15 -> 19 [size =\"19728384\"]\n  16 [size=\"62201856\", alpha=\"0.19\", expect_size=\"31100928\"] \n  16 -> 18 [size =\"31100928\"]\n  16 -> 19 [size =\"31100928\"]\n  17 [size=\"42721280\", alpha=\"0.19\", expect_size=\"21360640\"] \n  17 -> 18 [size =\"21360640\"]\n  17 -> 19 [size =\"21360640\"]\n  18 [size=\"61526016\", alpha=\"0.03\", expect_size=\"30763008\"] \n  18 -> 20 [size =\"30763008\"]\n  19 [size=\"58718208\", alpha=\"0.05\", expect_size=\"29359104\"] \n  19 -> 20 [size =\"29359104\"]\n  19 -> 21 [size =\"29359104\"]\n  20 [size=\"96356352\", alpha=\"0.11\", expect_size=\"48178176\"] \n  20 -> 22 [size =\"48178176\"]\n  20 -> 23 [size =\"48178176\"]\n  21 [size=\"62273536\", alpha=\"0.03\", expect_size=\"31136768\"] \n  21 -> 22 [size =\"31136768\"]\n  22 [size=\"72732672\", alpha=\"0.07\", expect_size=\"36366336\"] \n  22 -> 24 [size =\"36366336\"]\n  22 -> 25 [size =\"36366336\"]\n  23 [size=\"13889536\", alpha=\"0.19\", expect_size=\"6944768\"] \n  23 -> 24 [size =\"6944768\"]\n  23 -> 25 [size =\"6944768\"]\n  24 [size=\"86188032\", alpha=\"0.10\", expect_size=\"43094016\"] \n  24 -> 26 [size =\"43094016\"]\n  24 -> 27 [size =\"43094016\"]\n  25 [size=\"12410880\", alpha=\"0.11\", expect_size=\"6205440\"] \n  25 -> 26 [size =\"6205440\"]\n  25 -> 27 [size =\"6205440\"]\n  26 [size=\"26591232\", alpha=\"0.07\", expect_size=\"13295616\"] \n  26 -> 28 [size =\"13295616\"]\n  26 -> 29 [size =\"13295616\"]\n  26 -> 30 [size =\"13295616\"]\n  27 [size=\"20576256\", alpha=\"0.02\", expect_size=\"10288128\"] \n  27 -> 28 [size =\"10288128\"]\n  27 -> 29 [size =\"10288128\"]\n  28 [size=\"13668352\", alpha=\"0.01\", expect_size=\"6834176\"] \n  28 -> 31 [size =\"6834176\"]\n  28 -> 32 [size =\"6834176\"]\n  29 [size=\"27985920\", alpha=\"0.06\", expect_size=\"13992960\"] \n  29 -> 31 [size =\"13992960\"]\n  29 -> 32 [size =\"13992960\"]\n  30 [size=\"52527104\", alpha=\"0.03\", expect_size=\"26263552\"] \n  30 -> 31 [size =\"26263552\"]\n  30 -> 32 [size =\"26263552\"]\n  31 [size=\"102942720\", alpha=\"0.06\", expect_size=\"51471360\"] \n  31 -> 33 [size =\"51471360\"]\n  31 -> 34 [size =\"51471360\"]\n  31 -> 35 [size =\"51471360\"]\n  32 [size=\"23154688\", alpha=\"0.15\", expect_size=\"11577344\"] \n  32 -> 34 [size =\"11577344\"]\n  32 -> 35 [size =\"11577344\"]\n  33 [size=\"55975936\", alpha=\"0.05\", expect_size=\"27987968\"] \n  34 [size=\"52445184\", alpha=\"0.05\", expect_size=\"26222592\"] \n  34 -> 36 [size =\"26222592\"]\n  34 -> 37 [size =\"26222592\"]\n  35 [size=\"100329472\", alpha=\"0.12\", expect_size=\"50164736\"] \n  36 [size=\"57102336\", alpha=\"0.10\", expect_size=\"28551168\"] \n  37 [size=\"88641536\", alpha=\"0.14\", expect_size=\"44320768\"] \n  37 -> 38 [size =\"44320768\"]\n  37 -> 39 [size =\"44320768\"]\n  38 [size=\"98889728\", alpha=\"0.09\", expect_size=\"49444864\"] \n  39 [size=\"11137024\", alpha=\"0.15\", expect_size=\"5568512\"] \n  39 -> 40 [size =\"5568512\"]\n  39 -> 41 [size =\"5568512\"]\n  40 [size=\"38963200\", alpha=\"0.19\", expect_size=\"19481600\"] \n  40 -> 42 [size =\"19481600\"]\n  40 -> 43 [size =\"19481600\"]\n  41 [size=\"52336640\", alpha=\"0.14\", expect_size=\"26168320\"] \n  41 -> 43 [size =\"26168320\"]\n  42 [size=\"78856192\", alpha=\"0.01\", expect_size=\"39428096\"] \n  42 -> 44 [size =\"39428096\"]\n  42 -> 45 [size =\"39428096\"]\n  43 [size=\"52967424\", alpha=\"0.10\", expect_size=\"26483712\"] \n  43 -> 44 [size =\"26483712\"]\n  43 -> 45 [size =\"26483712\"]\n  44 [size=\"74684416\", alpha=\"0.15\", expect_size=\"37342208\"] \n  45 [size=\"99172352\", alpha=\"0.20\", expect_size=\"49586176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117333333\", alpha=\"0.15\", expect_size=\"35200000\"] \n  1 -> 15 [size =\"35200000\"]\n  1 -> 20 [size =\"35200000\"]\n  1 -> 22 [size =\"35200000\"]\n  1 -> 24 [size =\"35200000\"]\n  2 [size=\"66754560\", alpha=\"0.01\", expect_size=\"20026368\"] \n  2 -> 17 [size =\"20026368\"]\n  2 -> 20 [size =\"20026368\"]\n  2 -> 24 [size =\"20026368\"]\n  2 -> 25 [size =\"20026368\"]\n  3 [size=\"52462933\", alpha=\"0.11\", expect_size=\"15738880\"] \n  3 -> 23 [size =\"15738880\"]\n  3 -> 24 [size =\"15738880\"]\n  3 -> 25 [size =\"15738880\"]\n  4 [size=\"124108800\", alpha=\"0.07\", expect_size=\"37232640\"] \n  4 -> 16 [size =\"37232640\"]\n  4 -> 26 [size =\"37232640\"]\n  5 [size=\"52128427\", alpha=\"0.02\", expect_size=\"15638528\"] \n  5 -> 16 [size =\"15638528\"]\n  5 -> 17 [size =\"15638528\"]\n  5 -> 26 [size =\"15638528\"]\n  6 [size=\"94818987\", alpha=\"0.02\", expect_size=\"28445696\"] \n  6 -> 16 [size =\"28445696\"]\n  6 -> 17 [size =\"28445696\"]\n  6 -> 20 [size =\"28445696\"]\n  6 -> 22 [size =\"28445696\"]\n  6 -> 26 [size =\"28445696\"]\n  7 [size=\"82909867\", alpha=\"0.04\", expect_size=\"24872960\"] \n  7 -> 15 [size =\"24872960\"]\n  7 -> 17 [size =\"24872960\"]\n  7 -> 18 [size =\"24872960\"]\n  7 -> 19 [size =\"24872960\"]\n  7 -> 22 [size =\"24872960\"]\n  7 -> 23 [size =\"24872960\"]\n  8 [size=\"50517333\", alpha=\"0.16\", expect_size=\"15155200\"] \n  8 -> 16 [size =\"15155200\"]\n  8 -> 17 [size =\"15155200\"]\n  8 -> 22 [size =\"15155200\"]\n  9 [size=\"40512853\", alpha=\"0.04\", expect_size=\"12153856\"] \n  9 -> 18 [size =\"12153856\"]\n  9 -> 23 [size =\"12153856\"]\n  9 -> 25 [size =\"12153856\"]\n  10 [size=\"124361387\", alpha=\"0.15\", expect_size=\"37308416\"] \n  10 -> 20 [size =\"37308416\"]\n  10 -> 21 [size =\"37308416\"]\n  10 -> 22 [size =\"37308416\"]\n  10 -> 23 [size =\"37308416\"]\n  10 -> 25 [size =\"37308416\"]\n  11 [size=\"139786240\", alpha=\"0.01\", expect_size=\"41935872\"] \n  11 -> 15 [size =\"41935872\"]\n  11 -> 20 [size =\"41935872\"]\n  11 -> 22 [size =\"41935872\"]\n  11 -> 25 [size =\"41935872\"]\n  12 [size=\"104144213\", alpha=\"0.07\", expect_size=\"31243264\"] \n  12 -> 15 [size =\"31243264\"]\n  12 -> 22 [size =\"31243264\"]\n  12 -> 24 [size =\"31243264\"]\n  12 -> 25 [size =\"31243264\"]\n  13 [size=\"115705173\", alpha=\"0.18\", expect_size=\"34711552\"] \n  13 -> 15 [size =\"34711552\"]\n  13 -> 16 [size =\"34711552\"]\n  13 -> 22 [size =\"34711552\"]\n  13 -> 23 [size =\"34711552\"]\n  13 -> 24 [size =\"34711552\"]\n  14 [size=\"48339627\", alpha=\"0.06\", expect_size=\"14501888\"] \n  14 -> 15 [size =\"14501888\"]\n  14 -> 16 [size =\"14501888\"]\n  14 -> 17 [size =\"14501888\"]\n  14 -> 19 [size =\"14501888\"]\n  14 -> 20 [size =\"14501888\"]\n  14 -> 21 [size =\"14501888\"]\n  14 -> 22 [size =\"14501888\"]\n  15 [size=\"102686720\", alpha=\"0.10\", expect_size=\"30806016\"] \n  15 -> 28 [size =\"30806016\"]\n  15 -> 33 [size =\"30806016\"]\n  15 -> 33 [size =\"30806016\"]\n  15 -> 37 [size =\"30806016\"]\n  15 -> 39 [size =\"30806016\"]\n  16 [size=\"122132480\", alpha=\"0.09\", expect_size=\"36639744\"] \n  16 -> 27 [size =\"36639744\"]\n  16 -> 28 [size =\"36639744\"]\n  16 -> 29 [size =\"36639744\"]\n  16 -> 37 [size =\"36639744\"]\n  16 -> 38 [size =\"36639744\"]\n  16 -> 40 [size =\"36639744\"]\n  17 [size=\"134253227\", alpha=\"0.16\", expect_size=\"40275968\"] \n  17 -> 27 [size =\"40275968\"]\n  17 -> 29 [size =\"40275968\"]\n  17 -> 33 [size =\"40275968\"]\n  17 -> 39 [size =\"40275968\"]\n  17 -> 40 [size =\"40275968\"]\n  18 [size=\"168966827\", alpha=\"0.12\", expect_size=\"50690048\"] \n  18 -> 27 [size =\"50690048\"]\n  18 -> 28 [size =\"50690048\"]\n  18 -> 29 [size =\"50690048\"]\n  18 -> 31 [size =\"50690048\"]\n  18 -> 34 [size =\"50690048\"]\n  18 -> 37 [size =\"50690048\"]\n  18 -> 39 [size =\"50690048\"]\n  18 -> 41 [size =\"50690048\"]\n  19 [size=\"133662720\", alpha=\"0.03\", expect_size=\"40098816\"] \n  19 -> 27 [size =\"40098816\"]\n  19 -> 28 [size =\"40098816\"]\n  19 -> 33 [size =\"40098816\"]\n  19 -> 41 [size =\"40098816\"]\n  20 [size=\"161648640\", alpha=\"0.02\", expect_size=\"48494592\"] \n  20 -> 27 [size =\"48494592\"]\n  20 -> 32 [size =\"48494592\"]\n  20 -> 36 [size =\"48494592\"]\n  20 -> 40 [size =\"48494592\"]\n  21 [size=\"124163413\", alpha=\"0.13\", expect_size=\"37249024\"] \n  21 -> 27 [size =\"37249024\"]\n  21 -> 29 [size =\"37249024\"]\n  21 -> 31 [size =\"37249024\"]\n  21 -> 32 [size =\"37249024\"]\n  21 -> 33 [size =\"37249024\"]\n  21 -> 39 [size =\"37249024\"]\n  22 [size=\"132898133\", alpha=\"0.11\", expect_size=\"39869440\"] \n  22 -> 27 [size =\"39869440\"]\n  22 -> 30 [size =\"39869440\"]\n  22 -> 35 [size =\"39869440\"]\n  22 -> 36 [size =\"39869440\"]\n  23 [size=\"33648640\", alpha=\"0.13\", expect_size=\"10094592\"] \n  23 -> 27 [size =\"10094592\"]\n  23 -> 31 [size =\"10094592\"]\n  23 -> 33 [size =\"10094592\"]\n  23 -> 35 [size =\"10094592\"]\n  23 -> 38 [size =\"10094592\"]\n  23 -> 39 [size =\"10094592\"]\n  23 -> 40 [size =\"10094592\"]\n  24 [size=\"21814613\", alpha=\"0.09\", expect_size=\"6544384\"] \n  24 -> 28 [size =\"6544384\"]\n  24 -> 29 [size =\"6544384\"]\n  24 -> 31 [size =\"6544384\"]\n  24 -> 33 [size =\"6544384\"]\n  24 -> 34 [size =\"6544384\"]\n  24 -> 39 [size =\"6544384\"]\n  24 -> 40 [size =\"6544384\"]\n  25 [size=\"67184640\", alpha=\"0.09\", expect_size=\"20155392\"] \n  25 -> 29 [size =\"20155392\"]\n  25 -> 33 [size =\"20155392\"]\n  25 -> 34 [size =\"20155392\"]\n  25 -> 38 [size =\"20155392\"]\n  25 -> 39 [size =\"20155392\"]\n  25 -> 40 [size =\"20155392\"]\n  25 -> 40 [size =\"20155392\"]\n  26 [size=\"142609067\", alpha=\"0.19\", expect_size=\"42782720\"] \n  26 -> 28 [size =\"42782720\"]\n  26 -> 29 [size =\"42782720\"]\n  26 -> 33 [size =\"42782720\"]\n  26 -> 34 [size =\"42782720\"]\n  26 -> 37 [size =\"42782720\"]\n  26 -> 39 [size =\"42782720\"]\n  26 -> 41 [size =\"42782720\"]\n  27 [size=\"58695680\", alpha=\"0.17\", expect_size=\"17608704\"] \n  27 -> 42 [size =\"17608704\"]\n  27 -> 43 [size =\"17608704\"]\n  27 -> 44 [size =\"17608704\"]\n  27 -> 45 [size =\"17608704\"]\n  28 [size=\"23640747\", alpha=\"0.20\", expect_size=\"7092224\"] \n  28 -> 42 [size =\"7092224\"]\n  28 -> 43 [size =\"7092224\"]\n  28 -> 44 [size =\"7092224\"]\n  28 -> 45 [size =\"7092224\"]\n  29 [size=\"120046933\", alpha=\"0.05\", expect_size=\"36014080\"] \n  29 -> 43 [size =\"36014080\"]\n  29 -> 43 [size =\"36014080\"]\n  30 [size=\"145926827\", alpha=\"0.04\", expect_size=\"43778048\"] \n  30 -> 42 [size =\"43778048\"]\n  30 -> 44 [size =\"43778048\"]\n  31 [size=\"161822720\", alpha=\"0.19\", expect_size=\"48546816\"] \n  31 -> 42 [size =\"48546816\"]\n  31 -> 45 [size =\"48546816\"]\n  32 [size=\"110312107\", alpha=\"0.04\", expect_size=\"33093632\"] \n  32 -> 43 [size =\"33093632\"]\n  32 -> 45 [size =\"33093632\"]\n  33 [size=\"40673280\", alpha=\"0.02\", expect_size=\"12201984\"] \n  33 -> 42 [size =\"12201984\"]\n  34 [size=\"145175893\", alpha=\"0.04\", expect_size=\"43552768\"] \n  34 -> 42 [size =\"43552768\"]\n  34 -> 43 [size =\"43552768\"]\n  35 [size=\"58603520\", alpha=\"0.17\", expect_size=\"17581056\"] \n  35 -> 42 [size =\"17581056\"]\n  35 -> 43 [size =\"17581056\"]\n  35 -> 44 [size =\"17581056\"]\n  36 [size=\"130174293\", alpha=\"0.03\", expect_size=\"39052288\"] \n  36 -> 42 [size =\"39052288\"]\n  36 -> 43 [size =\"39052288\"]\n  36 -> 44 [size =\"39052288\"]\n  37 [size=\"122661547\", alpha=\"0.04\", expect_size=\"36798464\"] \n  37 -> 44 [size =\"36798464\"]\n  37 -> 45 [size =\"36798464\"]\n  38 [size=\"101505707\", alpha=\"0.04\", expect_size=\"30451712\"] \n  38 -> 42 [size =\"30451712\"]\n  38 -> 44 [size =\"30451712\"]\n  38 -> 45 [size =\"30451712\"]\n  39 [size=\"99741013\", alpha=\"0.19\", expect_size=\"29922304\"] \n  39 -> 44 [size =\"29922304\"]\n  39 -> 45 [size =\"29922304\"]\n  40 [size=\"140414293\", alpha=\"0.13\", expect_size=\"42124288\"] \n  40 -> 44 [size =\"42124288\"]\n  41 [size=\"173120853\", alpha=\"0.20\", expect_size=\"51936256\"] \n  41 -> 42 [size =\"51936256\"]\n  41 -> 43 [size =\"51936256\"]\n  41 -> 45 [size =\"51936256\"]\n  42 [size=\"162891093\", alpha=\"0.01\", expect_size=\"48867328\"] \n  43 [size=\"39106560\", alpha=\"0.05\", expect_size=\"11731968\"] \n  44 [size=\"57285973\", alpha=\"0.09\", expect_size=\"17185792\"] \n  45 [size=\"91006293\", alpha=\"0.20\", expect_size=\"27301888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28041216\", alpha=\"0.20\", expect_size=\"14020608\"] \n  1 -> 40 [size =\"14020608\"]\n  2 [size=\"79538176\", alpha=\"0.18\", expect_size=\"39769088\"] \n  2 -> 32 [size =\"39769088\"]\n  2 -> 36 [size =\"39769088\"]\n  2 -> 41 [size =\"39769088\"]\n  2 -> 44 [size =\"39769088\"]\n  3 [size=\"50098176\", alpha=\"0.15\", expect_size=\"25049088\"] \n  3 -> 30 [size =\"25049088\"]\n  3 -> 39 [size =\"25049088\"]\n  3 -> 40 [size =\"25049088\"]\n  3 -> 41 [size =\"25049088\"]\n  3 -> 42 [size =\"25049088\"]\n  3 -> 44 [size =\"25049088\"]\n  4 [size=\"45756416\", alpha=\"0.15\", expect_size=\"22878208\"] \n  4 -> 29 [size =\"22878208\"]\n  4 -> 30 [size =\"22878208\"]\n  4 -> 31 [size =\"22878208\"]\n  4 -> 33 [size =\"22878208\"]\n  4 -> 36 [size =\"22878208\"]\n  4 -> 40 [size =\"22878208\"]\n  5 [size=\"89735168\", alpha=\"0.01\", expect_size=\"44867584\"] \n  5 -> 32 [size =\"44867584\"]\n  5 -> 37 [size =\"44867584\"]\n  5 -> 41 [size =\"44867584\"]\n  6 [size=\"30380032\", alpha=\"0.06\", expect_size=\"15190016\"] \n  6 -> 34 [size =\"15190016\"]\n  6 -> 35 [size =\"15190016\"]\n  6 -> 40 [size =\"15190016\"]\n  7 [size=\"21895168\", alpha=\"0.06\", expect_size=\"10947584\"] \n  7 -> 33 [size =\"10947584\"]\n  7 -> 34 [size =\"10947584\"]\n  8 [size=\"14233600\", alpha=\"0.13\", expect_size=\"7116800\"] \n  8 -> 33 [size =\"7116800\"]\n  8 -> 39 [size =\"7116800\"]\n  8 -> 43 [size =\"7116800\"]\n  9 [size=\"80261120\", alpha=\"0.16\", expect_size=\"40130560\"] \n  9 -> 32 [size =\"40130560\"]\n  9 -> 34 [size =\"40130560\"]\n  9 -> 41 [size =\"40130560\"]\n  10 [size=\"25577472\", alpha=\"0.01\", expect_size=\"12788736\"] \n  10 -> 40 [size =\"12788736\"]\n  10 -> 41 [size =\"12788736\"]\n  11 [size=\"92309504\", alpha=\"0.06\", expect_size=\"46154752\"] \n  11 -> 36 [size =\"46154752\"]\n  11 -> 39 [size =\"46154752\"]\n  11 -> 45 [size =\"46154752\"]\n  12 [size=\"92143616\", alpha=\"0.16\", expect_size=\"46071808\"] \n  12 -> 30 [size =\"46071808\"]\n  12 -> 31 [size =\"46071808\"]\n  12 -> 40 [size =\"46071808\"]\n  12 -> 44 [size =\"46071808\"]\n  13 [size=\"82507776\", alpha=\"0.01\", expect_size=\"41253888\"] \n  13 -> 31 [size =\"41253888\"]\n  13 -> 34 [size =\"41253888\"]\n  13 -> 44 [size =\"41253888\"]\n  14 [size=\"57497600\", alpha=\"0.08\", expect_size=\"28748800\"] \n  14 -> 30 [size =\"28748800\"]\n  14 -> 32 [size =\"28748800\"]\n  14 -> 39 [size =\"28748800\"]\n  14 -> 42 [size =\"28748800\"]\n  15 [size=\"36177920\", alpha=\"0.13\", expect_size=\"18088960\"] \n  15 -> 30 [size =\"18088960\"]\n  15 -> 33 [size =\"18088960\"]\n  15 -> 40 [size =\"18088960\"]\n  15 -> 44 [size =\"18088960\"]\n  16 [size=\"43253760\", alpha=\"0.03\", expect_size=\"21626880\"] \n  16 -> 30 [size =\"21626880\"]\n  16 -> 35 [size =\"21626880\"]\n  16 -> 38 [size =\"21626880\"]\n  17 [size=\"72089600\", alpha=\"0.17\", expect_size=\"36044800\"] \n  17 -> 32 [size =\"36044800\"]\n  18 [size=\"101376000\", alpha=\"0.10\", expect_size=\"50688000\"] \n  18 -> 42 [size =\"50688000\"]\n  18 -> 45 [size =\"50688000\"]\n  19 [size=\"68882432\", alpha=\"0.13\", expect_size=\"34441216\"] \n  19 -> 30 [size =\"34441216\"]\n  20 [size=\"51572736\", alpha=\"0.11\", expect_size=\"25786368\"] \n  20 -> 29 [size =\"25786368\"]\n  20 -> 31 [size =\"25786368\"]\n  20 -> 34 [size =\"25786368\"]\n  20 -> 40 [size =\"25786368\"]\n  21 [size=\"57628672\", alpha=\"0.13\", expect_size=\"28814336\"] \n  21 -> 32 [size =\"28814336\"]\n  21 -> 33 [size =\"28814336\"]\n  21 -> 40 [size =\"28814336\"]\n  22 [size=\"85925888\", alpha=\"0.09\", expect_size=\"42962944\"] \n  22 -> 30 [size =\"42962944\"]\n  22 -> 31 [size =\"42962944\"]\n  22 -> 32 [size =\"42962944\"]\n  22 -> 41 [size =\"42962944\"]\n  23 [size=\"66316288\", alpha=\"0.14\", expect_size=\"33158144\"] \n  23 -> 30 [size =\"33158144\"]\n  23 -> 39 [size =\"33158144\"]\n  23 -> 42 [size =\"33158144\"]\n  24 [size=\"69287936\", alpha=\"0.06\", expect_size=\"34643968\"] \n  24 -> 31 [size =\"34643968\"]\n  25 [size=\"12818432\", alpha=\"0.15\", expect_size=\"6409216\"] \n  25 -> 32 [size =\"6409216\"]\n  25 -> 40 [size =\"6409216\"]\n  26 [size=\"75241472\", alpha=\"0.08\", expect_size=\"37620736\"] \n  26 -> 30 [size =\"37620736\"]\n  26 -> 38 [size =\"37620736\"]\n  26 -> 40 [size =\"37620736\"]\n  26 -> 41 [size =\"37620736\"]\n  27 [size=\"90875904\", alpha=\"0.04\", expect_size=\"45437952\"] \n  27 -> 29 [size =\"45437952\"]\n  27 -> 30 [size =\"45437952\"]\n  27 -> 40 [size =\"45437952\"]\n  27 -> 44 [size =\"45437952\"]\n  28 [size=\"76173312\", alpha=\"0.00\", expect_size=\"38086656\"] \n  28 -> 33 [size =\"38086656\"]\n  28 -> 40 [size =\"38086656\"]\n  28 -> 44 [size =\"38086656\"]\n  29 [size=\"30466048\", alpha=\"0.12\", expect_size=\"15233024\"] \n  30 [size=\"93874176\", alpha=\"0.06\", expect_size=\"46937088\"] \n  31 [size=\"53221376\", alpha=\"0.18\", expect_size=\"26610688\"] \n  32 [size=\"20430848\", alpha=\"0.07\", expect_size=\"10215424\"] \n  33 [size=\"64561152\", alpha=\"0.11\", expect_size=\"32280576\"] \n  34 [size=\"36478976\", alpha=\"0.05\", expect_size=\"18239488\"] \n  35 [size=\"65830912\", alpha=\"0.05\", expect_size=\"32915456\"] \n  36 [size=\"43124736\", alpha=\"0.12\", expect_size=\"21562368\"] \n  37 [size=\"82622464\", alpha=\"0.11\", expect_size=\"41311232\"] \n  38 [size=\"101369856\", alpha=\"0.10\", expect_size=\"50684928\"] \n  39 [size=\"103108608\", alpha=\"0.02\", expect_size=\"51554304\"] \n  40 [size=\"63246336\", alpha=\"0.02\", expect_size=\"31623168\"] \n  41 [size=\"91248640\", alpha=\"0.12\", expect_size=\"45624320\"] \n  42 [size=\"80193536\", alpha=\"0.18\", expect_size=\"40096768\"] \n  43 [size=\"17369088\", alpha=\"0.16\", expect_size=\"8684544\"] \n  44 [size=\"69169152\", alpha=\"0.06\", expect_size=\"34584576\"] \n  45 [size=\"93865984\", alpha=\"0.17\", expect_size=\"46932992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44939947\", alpha=\"0.20\", expect_size=\"13481984\"] \n  1 -> 16 [size =\"13481984\"]\n  2 [size=\"22548480\", alpha=\"0.15\", expect_size=\"6764544\"] \n  2 -> 15 [size =\"6764544\"]\n  2 -> 16 [size =\"6764544\"]\n  3 [size=\"127484587\", alpha=\"0.08\", expect_size=\"38245376\"] \n  3 -> 14 [size =\"38245376\"]\n  3 -> 16 [size =\"38245376\"]\n  3 -> 18 [size =\"38245376\"]\n  4 [size=\"68628480\", alpha=\"0.19\", expect_size=\"20588544\"] \n  4 -> 18 [size =\"20588544\"]\n  4 -> 19 [size =\"20588544\"]\n  5 [size=\"55555413\", alpha=\"0.13\", expect_size=\"16666624\"] \n  5 -> 14 [size =\"16666624\"]\n  5 -> 18 [size =\"16666624\"]\n  5 -> 20 [size =\"16666624\"]\n  6 [size=\"59781120\", alpha=\"0.14\", expect_size=\"17934336\"] \n  6 -> 14 [size =\"17934336\"]\n  6 -> 20 [size =\"17934336\"]\n  7 [size=\"141103787\", alpha=\"0.02\", expect_size=\"42331136\"] \n  7 -> 15 [size =\"42331136\"]\n  7 -> 17 [size =\"42331136\"]\n  8 [size=\"121879893\", alpha=\"0.10\", expect_size=\"36563968\"] \n  8 -> 15 [size =\"36563968\"]\n  8 -> 16 [size =\"36563968\"]\n  8 -> 19 [size =\"36563968\"]\n  8 -> 20 [size =\"36563968\"]\n  9 [size=\"142281387\", alpha=\"0.19\", expect_size=\"42684416\"] \n  9 -> 14 [size =\"42684416\"]\n  9 -> 15 [size =\"42684416\"]\n  9 -> 17 [size =\"42684416\"]\n  9 -> 19 [size =\"42684416\"]\n  9 -> 20 [size =\"42684416\"]\n  10 [size=\"147701760\", alpha=\"0.07\", expect_size=\"44310528\"] \n  10 -> 15 [size =\"44310528\"]\n  10 -> 17 [size =\"44310528\"]\n  10 -> 19 [size =\"44310528\"]\n  10 -> 20 [size =\"44310528\"]\n  10 -> 20 [size =\"44310528\"]\n  11 [size=\"48254293\", alpha=\"0.01\", expect_size=\"14476288\"] \n  11 -> 18 [size =\"14476288\"]\n  11 -> 19 [size =\"14476288\"]\n  12 [size=\"46622720\", alpha=\"0.10\", expect_size=\"13986816\"] \n  12 -> 15 [size =\"13986816\"]\n  12 -> 18 [size =\"13986816\"]\n  12 -> 20 [size =\"13986816\"]\n  13 [size=\"165519360\", alpha=\"0.03\", expect_size=\"49655808\"] \n  13 -> 14 [size =\"49655808\"]\n  13 -> 16 [size =\"49655808\"]\n  13 -> 17 [size =\"49655808\"]\n  14 [size=\"68010667\", alpha=\"0.07\", expect_size=\"20403200\"] \n  14 -> 28 [size =\"20403200\"]\n  14 -> 28 [size =\"20403200\"]\n  14 -> 31 [size =\"20403200\"]\n  15 [size=\"58736640\", alpha=\"0.05\", expect_size=\"17620992\"] \n  15 -> 24 [size =\"17620992\"]\n  15 -> 25 [size =\"17620992\"]\n  15 -> 31 [size =\"17620992\"]\n  16 [size=\"158245547\", alpha=\"0.00\", expect_size=\"47473664\"] \n  16 -> 23 [size =\"47473664\"]\n  17 [size=\"114210133\", alpha=\"0.13\", expect_size=\"34263040\"] \n  17 -> 22 [size =\"34263040\"]\n  17 -> 23 [size =\"34263040\"]\n  17 -> 24 [size =\"34263040\"]\n  17 -> 27 [size =\"34263040\"]\n  17 -> 29 [size =\"34263040\"]\n  18 [size=\"132949333\", alpha=\"0.14\", expect_size=\"39884800\"] \n  18 -> 21 [size =\"39884800\"]\n  18 -> 24 [size =\"39884800\"]\n  18 -> 26 [size =\"39884800\"]\n  18 -> 27 [size =\"39884800\"]\n  19 [size=\"55466667\", alpha=\"0.07\", expect_size=\"16640000\"] \n  19 -> 23 [size =\"16640000\"]\n  19 -> 26 [size =\"16640000\"]\n  19 -> 26 [size =\"16640000\"]\n  19 -> 28 [size =\"16640000\"]\n  19 -> 29 [size =\"16640000\"]\n  19 -> 30 [size =\"16640000\"]\n  20 [size=\"51172693\", alpha=\"0.05\", expect_size=\"15351808\"] \n  20 -> 27 [size =\"15351808\"]\n  20 -> 28 [size =\"15351808\"]\n  20 -> 29 [size =\"15351808\"]\n  21 [size=\"106178560\", alpha=\"0.07\", expect_size=\"31853568\"] \n  21 -> 33 [size =\"31853568\"]\n  21 -> 36 [size =\"31853568\"]\n  22 [size=\"116486827\", alpha=\"0.10\", expect_size=\"34946048\"] \n  22 -> 35 [size =\"34946048\"]\n  23 [size=\"34027520\", alpha=\"0.07\", expect_size=\"10208256\"] \n  23 -> 35 [size =\"10208256\"]\n  23 -> 38 [size =\"10208256\"]\n  23 -> 42 [size =\"10208256\"]\n  24 [size=\"57688747\", alpha=\"0.10\", expect_size=\"17306624\"] \n  24 -> 32 [size =\"17306624\"]\n  24 -> 34 [size =\"17306624\"]\n  24 -> 35 [size =\"17306624\"]\n  24 -> 36 [size =\"17306624\"]\n  24 -> 43 [size =\"17306624\"]\n  25 [size=\"109875200\", alpha=\"0.18\", expect_size=\"32962560\"] \n  25 -> 39 [size =\"32962560\"]\n  26 [size=\"145298773\", alpha=\"0.11\", expect_size=\"43589632\"] \n  26 -> 35 [size =\"43589632\"]\n  26 -> 40 [size =\"43589632\"]\n  26 -> 43 [size =\"43589632\"]\n  27 [size=\"147756373\", alpha=\"0.00\", expect_size=\"44326912\"] \n  27 -> 34 [size =\"44326912\"]\n  27 -> 40 [size =\"44326912\"]\n  27 -> 41 [size =\"44326912\"]\n  27 -> 43 [size =\"44326912\"]\n  28 [size=\"92753920\", alpha=\"0.03\", expect_size=\"27826176\"] \n  28 -> 34 [size =\"27826176\"]\n  28 -> 36 [size =\"27826176\"]\n  28 -> 39 [size =\"27826176\"]\n  28 -> 41 [size =\"27826176\"]\n  29 [size=\"45943467\", alpha=\"0.01\", expect_size=\"13783040\"] \n  29 -> 33 [size =\"13783040\"]\n  29 -> 35 [size =\"13783040\"]\n  29 -> 36 [size =\"13783040\"]\n  29 -> 39 [size =\"13783040\"]\n  30 [size=\"99027627\", alpha=\"0.16\", expect_size=\"29708288\"] \n  30 -> 33 [size =\"29708288\"]\n  30 -> 34 [size =\"29708288\"]\n  30 -> 36 [size =\"29708288\"]\n  30 -> 37 [size =\"29708288\"]\n  30 -> 39 [size =\"29708288\"]\n  30 -> 40 [size =\"29708288\"]\n  31 [size=\"140701013\", alpha=\"0.15\", expect_size=\"42210304\"] \n  31 -> 32 [size =\"42210304\"]\n  31 -> 33 [size =\"42210304\"]\n  31 -> 36 [size =\"42210304\"]\n  31 -> 42 [size =\"42210304\"]\n  31 -> 43 [size =\"42210304\"]\n  32 [size=\"41147733\", alpha=\"0.17\", expect_size=\"12344320\"] \n  32 -> 44 [size =\"12344320\"]\n  33 [size=\"120016213\", alpha=\"0.18\", expect_size=\"36004864\"] \n  33 -> 44 [size =\"36004864\"]\n  34 [size=\"172738560\", alpha=\"0.06\", expect_size=\"51821568\"] \n  34 -> 44 [size =\"51821568\"]\n  35 [size=\"93184000\", alpha=\"0.19\", expect_size=\"27955200\"] \n  36 [size=\"76721493\", alpha=\"0.10\", expect_size=\"23016448\"] \n  37 [size=\"165655893\", alpha=\"0.13\", expect_size=\"49696768\"] \n  37 -> 44 [size =\"49696768\"]\n  37 -> 45 [size =\"49696768\"]\n  38 [size=\"169041920\", alpha=\"0.11\", expect_size=\"50712576\"] \n  38 -> 44 [size =\"50712576\"]\n  39 [size=\"34000213\", alpha=\"0.14\", expect_size=\"10200064\"] \n  40 [size=\"42625707\", alpha=\"0.00\", expect_size=\"12787712\"] \n  41 [size=\"167854080\", alpha=\"0.19\", expect_size=\"50356224\"] \n  42 [size=\"125893973\", alpha=\"0.09\", expect_size=\"37768192\"] \n  42 -> 44 [size =\"37768192\"]\n  43 [size=\"103181653\", alpha=\"0.02\", expect_size=\"30954496\"] \n  44 [size=\"90473813\", alpha=\"0.00\", expect_size=\"27142144\"] \n  45 [size=\"138311680\", alpha=\"0.10\", expect_size=\"41493504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43597824\", alpha=\"0.13\", expect_size=\"21798912\"] \n  1 -> 2 [size =\"21798912\"]\n  2 [size=\"21932032\", alpha=\"0.02\", expect_size=\"10966016\"] \n  2 -> 3 [size =\"10966016\"]\n  3 [size=\"60964864\", alpha=\"0.15\", expect_size=\"30482432\"] \n  3 -> 4 [size =\"30482432\"]\n  4 [size=\"16455680\", alpha=\"0.16\", expect_size=\"8227840\"] \n  4 -> 5 [size =\"8227840\"]\n  5 [size=\"24350720\", alpha=\"0.10\", expect_size=\"12175360\"] \n  5 -> 6 [size =\"12175360\"]\n  6 [size=\"64155648\", alpha=\"0.08\", expect_size=\"32077824\"] \n  6 -> 7 [size =\"32077824\"]\n  7 [size=\"90834944\", alpha=\"0.06\", expect_size=\"45417472\"] \n  7 -> 8 [size =\"45417472\"]\n  8 [size=\"45426688\", alpha=\"0.02\", expect_size=\"22713344\"] \n  8 -> 9 [size =\"22713344\"]\n  9 [size=\"54761472\", alpha=\"0.10\", expect_size=\"27380736\"] \n  9 -> 10 [size =\"27380736\"]\n  10 [size=\"42887168\", alpha=\"0.08\", expect_size=\"21443584\"] \n  10 -> 11 [size =\"21443584\"]\n  11 [size=\"76689408\", alpha=\"0.08\", expect_size=\"38344704\"] \n  11 -> 12 [size =\"38344704\"]\n  12 [size=\"44871680\", alpha=\"0.03\", expect_size=\"22435840\"] \n  12 -> 13 [size =\"22435840\"]\n  13 [size=\"56156160\", alpha=\"0.16\", expect_size=\"28078080\"] \n  13 -> 14 [size =\"28078080\"]\n  14 [size=\"32139264\", alpha=\"0.01\", expect_size=\"16069632\"] \n  14 -> 15 [size =\"16069632\"]\n  15 [size=\"15474688\", alpha=\"0.05\", expect_size=\"7737344\"] \n  15 -> 16 [size =\"7737344\"]\n  16 [size=\"64145408\", alpha=\"0.06\", expect_size=\"32072704\"] \n  16 -> 17 [size =\"32072704\"]\n  17 [size=\"100921344\", alpha=\"0.02\", expect_size=\"50460672\"] \n  17 -> 18 [size =\"50460672\"]\n  18 [size=\"33009664\", alpha=\"0.16\", expect_size=\"16504832\"] \n  18 -> 19 [size =\"16504832\"]\n  19 [size=\"43216896\", alpha=\"0.10\", expect_size=\"21608448\"] \n  19 -> 20 [size =\"21608448\"]\n  20 [size=\"91774976\", alpha=\"0.05\", expect_size=\"45887488\"] \n  20 -> 21 [size =\"45887488\"]\n  21 [size=\"34875392\", alpha=\"0.07\", expect_size=\"17437696\"] \n  21 -> 22 [size =\"17437696\"]\n  22 [size=\"70623232\", alpha=\"0.12\", expect_size=\"35311616\"] \n  22 -> 23 [size =\"35311616\"]\n  23 [size=\"83720192\", alpha=\"0.07\", expect_size=\"41860096\"] \n  23 -> 24 [size =\"41860096\"]\n  24 [size=\"64434176\", alpha=\"0.04\", expect_size=\"32217088\"] \n  24 -> 25 [size =\"32217088\"]\n  25 [size=\"68601856\", alpha=\"0.03\", expect_size=\"34300928\"] \n  25 -> 26 [size =\"34300928\"]\n  26 [size=\"90611712\", alpha=\"0.14\", expect_size=\"45305856\"] \n  26 -> 27 [size =\"45305856\"]\n  27 [size=\"23269376\", alpha=\"0.02\", expect_size=\"11634688\"] \n  27 -> 28 [size =\"11634688\"]\n  28 [size=\"32800768\", alpha=\"0.17\", expect_size=\"16400384\"] \n  28 -> 29 [size =\"16400384\"]\n  29 [size=\"13238272\", alpha=\"0.01\", expect_size=\"6619136\"] \n  29 -> 30 [size =\"6619136\"]\n  30 [size=\"60837888\", alpha=\"0.13\", expect_size=\"30418944\"] \n  30 -> 31 [size =\"30418944\"]\n  31 [size=\"85262336\", alpha=\"0.18\", expect_size=\"42631168\"] \n  31 -> 32 [size =\"42631168\"]\n  32 [size=\"25253888\", alpha=\"0.11\", expect_size=\"12626944\"] \n  32 -> 33 [size =\"12626944\"]\n  33 [size=\"80998400\", alpha=\"0.14\", expect_size=\"40499200\"] \n  33 -> 34 [size =\"40499200\"]\n  34 [size=\"19863552\", alpha=\"0.01\", expect_size=\"9931776\"] \n  34 -> 35 [size =\"9931776\"]\n  35 [size=\"36562944\", alpha=\"0.09\", expect_size=\"18281472\"] \n  35 -> 36 [size =\"18281472\"]\n  36 [size=\"50591744\", alpha=\"0.09\", expect_size=\"25295872\"] \n  36 -> 37 [size =\"25295872\"]\n  37 [size=\"21250048\", alpha=\"0.07\", expect_size=\"10625024\"] \n  37 -> 38 [size =\"10625024\"]\n  38 [size=\"28882944\", alpha=\"0.11\", expect_size=\"14441472\"] \n  38 -> 39 [size =\"14441472\"]\n  39 [size=\"14065664\", alpha=\"0.01\", expect_size=\"7032832\"] \n  39 -> 40 [size =\"7032832\"]\n  40 [size=\"21073920\", alpha=\"0.09\", expect_size=\"10536960\"] \n  40 -> 41 [size =\"10536960\"]\n  41 [size=\"82307072\", alpha=\"0.01\", expect_size=\"41153536\"] \n  41 -> 42 [size =\"41153536\"]\n  42 [size=\"75227136\", alpha=\"0.07\", expect_size=\"37613568\"] \n  42 -> 43 [size =\"37613568\"]\n  43 [size=\"34224128\", alpha=\"0.08\", expect_size=\"17112064\"] \n  43 -> 44 [size =\"17112064\"]\n  44 [size=\"99336192\", alpha=\"0.00\", expect_size=\"49668096\"] \n  44 -> 45 [size =\"49668096\"]\n  45 [size=\"103479296\", alpha=\"0.05\", expect_size=\"51739648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133300907\", alpha=\"0.11\", expect_size=\"39990272\"] \n  1 -> 6 [size =\"39990272\"]\n  2 [size=\"128368640\", alpha=\"0.04\", expect_size=\"38510592\"] \n  3 [size=\"58245120\", alpha=\"0.05\", expect_size=\"17473536\"] \n  3 -> 5 [size =\"17473536\"]\n  3 -> 6 [size =\"17473536\"]\n  4 [size=\"107550720\", alpha=\"0.11\", expect_size=\"32265216\"] \n  4 -> 5 [size =\"32265216\"]\n  4 -> 6 [size =\"32265216\"]\n  5 [size=\"25815040\", alpha=\"0.16\", expect_size=\"7744512\"] \n  5 -> 7 [size =\"7744512\"]\n  6 [size=\"32508587\", alpha=\"0.10\", expect_size=\"9752576\"] \n  6 -> 7 [size =\"9752576\"]\n  7 [size=\"126057813\", alpha=\"0.05\", expect_size=\"37817344\"] \n  7 -> 8 [size =\"37817344\"]\n  8 [size=\"103840427\", alpha=\"0.09\", expect_size=\"31152128\"] \n  8 -> 9 [size =\"31152128\"]\n  8 -> 10 [size =\"31152128\"]\n  8 -> 11 [size =\"31152128\"]\n  9 [size=\"63822507\", alpha=\"0.00\", expect_size=\"19146752\"] \n  9 -> 13 [size =\"19146752\"]\n  9 -> 14 [size =\"19146752\"]\n  10 [size=\"40734720\", alpha=\"0.07\", expect_size=\"12220416\"] \n  10 -> 14 [size =\"12220416\"]\n  11 [size=\"166901760\", alpha=\"0.01\", expect_size=\"50070528\"] \n  11 -> 12 [size =\"50070528\"]\n  11 -> 13 [size =\"50070528\"]\n  12 [size=\"99549867\", alpha=\"0.08\", expect_size=\"29864960\"] \n  12 -> 15 [size =\"29864960\"]\n  13 [size=\"128829440\", alpha=\"0.18\", expect_size=\"38648832\"] \n  14 [size=\"166430720\", alpha=\"0.07\", expect_size=\"49929216\"] \n  15 [size=\"96017067\", alpha=\"0.15\", expect_size=\"28805120\"] \n  15 -> 16 [size =\"28805120\"]\n  15 -> 17 [size =\"28805120\"]\n  15 -> 18 [size =\"28805120\"]\n  16 [size=\"61422933\", alpha=\"0.05\", expect_size=\"18426880\"] \n  16 -> 19 [size =\"18426880\"]\n  16 -> 20 [size =\"18426880\"]\n  16 -> 21 [size =\"18426880\"]\n  17 [size=\"138257067\", alpha=\"0.16\", expect_size=\"41477120\"] \n  17 -> 20 [size =\"41477120\"]\n  17 -> 22 [size =\"41477120\"]\n  18 [size=\"174097067\", alpha=\"0.14\", expect_size=\"52229120\"] \n  18 -> 19 [size =\"52229120\"]\n  19 [size=\"86405120\", alpha=\"0.13\", expect_size=\"25921536\"] \n  19 -> 23 [size =\"25921536\"]\n  20 [size=\"89169920\", alpha=\"0.07\", expect_size=\"26750976\"] \n  21 [size=\"145012053\", alpha=\"0.15\", expect_size=\"43503616\"] \n  21 -> 24 [size =\"43503616\"]\n  22 [size=\"156596907\", alpha=\"0.18\", expect_size=\"46979072\"] \n  22 -> 23 [size =\"46979072\"]\n  22 -> 24 [size =\"46979072\"]\n  23 [size=\"65853440\", alpha=\"0.05\", expect_size=\"19756032\"] \n  23 -> 25 [size =\"19756032\"]\n  24 [size=\"50834773\", alpha=\"0.04\", expect_size=\"15250432\"] \n  24 -> 26 [size =\"15250432\"]\n  25 [size=\"103130453\", alpha=\"0.05\", expect_size=\"30939136\"] \n  25 -> 27 [size =\"30939136\"]\n  25 -> 28 [size =\"30939136\"]\n  26 [size=\"61607253\", alpha=\"0.07\", expect_size=\"18482176\"] \n  26 -> 28 [size =\"18482176\"]\n  26 -> 29 [size =\"18482176\"]\n  27 [size=\"97215147\", alpha=\"0.03\", expect_size=\"29164544\"] \n  28 [size=\"66556587\", alpha=\"0.10\", expect_size=\"19966976\"] \n  29 [size=\"18578773\", alpha=\"0.03\", expect_size=\"5573632\"] \n  29 -> 30 [size =\"5573632\"]\n  30 [size=\"119674880\", alpha=\"0.18\", expect_size=\"35902464\"] \n  30 -> 31 [size =\"35902464\"]\n  30 -> 32 [size =\"35902464\"]\n  30 -> 33 [size =\"35902464\"]\n  31 [size=\"171318613\", alpha=\"0.13\", expect_size=\"51395584\"] \n  31 -> 34 [size =\"51395584\"]\n  31 -> 37 [size =\"51395584\"]\n  32 [size=\"132048213\", alpha=\"0.18\", expect_size=\"39614464\"] \n  32 -> 34 [size =\"39614464\"]\n  32 -> 36 [size =\"39614464\"]\n  33 [size=\"112759467\", alpha=\"0.18\", expect_size=\"33827840\"] \n  33 -> 35 [size =\"33827840\"]\n  33 -> 36 [size =\"33827840\"]\n  33 -> 37 [size =\"33827840\"]\n  34 [size=\"154217813\", alpha=\"0.16\", expect_size=\"46265344\"] \n  34 -> 39 [size =\"46265344\"]\n  35 [size=\"31924907\", alpha=\"0.04\", expect_size=\"9577472\"] \n  35 -> 38 [size =\"9577472\"]\n  36 [size=\"68802560\", alpha=\"0.18\", expect_size=\"20640768\"] \n  36 -> 39 [size =\"20640768\"]\n  36 -> 40 [size =\"20640768\"]\n  37 [size=\"122586453\", alpha=\"0.08\", expect_size=\"36775936\"] \n  37 -> 38 [size =\"36775936\"]\n  37 -> 39 [size =\"36775936\"]\n  38 [size=\"144578560\", alpha=\"0.17\", expect_size=\"43373568\"] \n  38 -> 41 [size =\"43373568\"]\n  39 [size=\"63856640\", alpha=\"0.15\", expect_size=\"19156992\"] \n  39 -> 41 [size =\"19156992\"]\n  39 -> 42 [size =\"19156992\"]\n  40 [size=\"84053333\", alpha=\"0.02\", expect_size=\"25216000\"] \n  41 [size=\"71140693\", alpha=\"0.05\", expect_size=\"21342208\"] \n  41 -> 43 [size =\"21342208\"]\n  41 -> 45 [size =\"21342208\"]\n  42 [size=\"174547627\", alpha=\"0.06\", expect_size=\"52364288\"] \n  42 -> 43 [size =\"52364288\"]\n  42 -> 44 [size =\"52364288\"]\n  42 -> 45 [size =\"52364288\"]\n  43 [size=\"161774933\", alpha=\"0.13\", expect_size=\"48532480\"] \n  44 [size=\"144175787\", alpha=\"0.04\", expect_size=\"43252736\"] \n  45 [size=\"113421653\", alpha=\"0.07\", expect_size=\"34026496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34531328\", alpha=\"0.16\", expect_size=\"17265664\"] \n  2 [size=\"90476544\", alpha=\"0.12\", expect_size=\"45238272\"] \n  2 -> 8 [size =\"45238272\"]\n  2 -> 11 [size =\"45238272\"]\n  3 [size=\"38076416\", alpha=\"0.13\", expect_size=\"19038208\"] \n  3 -> 8 [size =\"19038208\"]\n  3 -> 9 [size =\"19038208\"]\n  3 -> 11 [size =\"19038208\"]\n  4 [size=\"38797312\", alpha=\"0.16\", expect_size=\"19398656\"] \n  4 -> 7 [size =\"19398656\"]\n  4 -> 8 [size =\"19398656\"]\n  4 -> 9 [size =\"19398656\"]\n  4 -> 10 [size =\"19398656\"]\n  4 -> 11 [size =\"19398656\"]\n  5 [size=\"16095232\", alpha=\"0.01\", expect_size=\"8047616\"] \n  5 -> 9 [size =\"8047616\"]\n  6 [size=\"36132864\", alpha=\"0.01\", expect_size=\"18066432\"] \n  6 -> 7 [size =\"18066432\"]\n  6 -> 12 [size =\"18066432\"]\n  7 [size=\"10911744\", alpha=\"0.08\", expect_size=\"5455872\"] \n  7 -> 17 [size =\"5455872\"]\n  8 [size=\"15300608\", alpha=\"0.06\", expect_size=\"7650304\"] \n  8 -> 13 [size =\"7650304\"]\n  8 -> 14 [size =\"7650304\"]\n  9 [size=\"80179200\", alpha=\"0.19\", expect_size=\"40089600\"] \n  9 -> 17 [size =\"40089600\"]\n  9 -> 18 [size =\"40089600\"]\n  10 [size=\"42887168\", alpha=\"0.02\", expect_size=\"21443584\"] \n  10 -> 14 [size =\"21443584\"]\n  11 [size=\"59029504\", alpha=\"0.07\", expect_size=\"29514752\"] \n  11 -> 13 [size =\"29514752\"]\n  11 -> 14 [size =\"29514752\"]\n  11 -> 15 [size =\"29514752\"]\n  12 [size=\"39739392\", alpha=\"0.03\", expect_size=\"19869696\"] \n  12 -> 13 [size =\"19869696\"]\n  12 -> 16 [size =\"19869696\"]\n  13 [size=\"95371264\", alpha=\"0.13\", expect_size=\"47685632\"] \n  13 -> 19 [size =\"47685632\"]\n  13 -> 20 [size =\"47685632\"]\n  13 -> 21 [size =\"47685632\"]\n  14 [size=\"64284672\", alpha=\"0.17\", expect_size=\"32142336\"] \n  14 -> 21 [size =\"32142336\"]\n  14 -> 22 [size =\"32142336\"]\n  14 -> 24 [size =\"32142336\"]\n  15 [size=\"43909120\", alpha=\"0.17\", expect_size=\"21954560\"] \n  16 [size=\"47353856\", alpha=\"0.08\", expect_size=\"23676928\"] \n  16 -> 22 [size =\"23676928\"]\n  16 -> 24 [size =\"23676928\"]\n  17 [size=\"51404800\", alpha=\"0.15\", expect_size=\"25702400\"] \n  17 -> 21 [size =\"25702400\"]\n  17 -> 22 [size =\"25702400\"]\n  17 -> 23 [size =\"25702400\"]\n  17 -> 24 [size =\"25702400\"]\n  18 [size=\"87801856\", alpha=\"0.17\", expect_size=\"43900928\"] \n  18 -> 19 [size =\"43900928\"]\n  18 -> 20 [size =\"43900928\"]\n  18 -> 21 [size =\"43900928\"]\n  19 [size=\"20447232\", alpha=\"0.09\", expect_size=\"10223616\"] \n  19 -> 25 [size =\"10223616\"]\n  19 -> 29 [size =\"10223616\"]\n  20 [size=\"15337472\", alpha=\"0.03\", expect_size=\"7668736\"] \n  20 -> 25 [size =\"7668736\"]\n  20 -> 26 [size =\"7668736\"]\n  20 -> 30 [size =\"7668736\"]\n  21 [size=\"25540608\", alpha=\"0.01\", expect_size=\"12770304\"] \n  21 -> 26 [size =\"12770304\"]\n  21 -> 27 [size =\"12770304\"]\n  22 [size=\"59500544\", alpha=\"0.17\", expect_size=\"29750272\"] \n  22 -> 26 [size =\"29750272\"]\n  23 [size=\"72990720\", alpha=\"0.18\", expect_size=\"36495360\"] \n  23 -> 27 [size =\"36495360\"]\n  23 -> 28 [size =\"36495360\"]\n  24 [size=\"41521152\", alpha=\"0.05\", expect_size=\"20760576\"] \n  24 -> 28 [size =\"20760576\"]\n  25 [size=\"26150912\", alpha=\"0.13\", expect_size=\"13075456\"] \n  25 -> 31 [size =\"13075456\"]\n  25 -> 32 [size =\"13075456\"]\n  25 -> 34 [size =\"13075456\"]\n  25 -> 35 [size =\"13075456\"]\n  26 [size=\"11937792\", alpha=\"0.07\", expect_size=\"5968896\"] \n  26 -> 31 [size =\"5968896\"]\n  26 -> 33 [size =\"5968896\"]\n  26 -> 34 [size =\"5968896\"]\n  27 [size=\"50448384\", alpha=\"0.01\", expect_size=\"25224192\"] \n  27 -> 35 [size =\"25224192\"]\n  28 [size=\"26703872\", alpha=\"0.16\", expect_size=\"13351936\"] \n  28 -> 31 [size =\"13351936\"]\n  28 -> 32 [size =\"13351936\"]\n  28 -> 35 [size =\"13351936\"]\n  29 [size=\"12969984\", alpha=\"0.06\", expect_size=\"6484992\"] \n  29 -> 31 [size =\"6484992\"]\n  29 -> 32 [size =\"6484992\"]\n  30 [size=\"56756224\", alpha=\"0.03\", expect_size=\"28378112\"] \n  30 -> 32 [size =\"28378112\"]\n  30 -> 34 [size =\"28378112\"]\n  30 -> 35 [size =\"28378112\"]\n  31 [size=\"69210112\", alpha=\"0.10\", expect_size=\"34605056\"] \n  31 -> 36 [size =\"34605056\"]\n  31 -> 37 [size =\"34605056\"]\n  31 -> 38 [size =\"34605056\"]\n  32 [size=\"74375168\", alpha=\"0.03\", expect_size=\"37187584\"] \n  32 -> 37 [size =\"37187584\"]\n  33 [size=\"57874432\", alpha=\"0.14\", expect_size=\"28937216\"] \n  33 -> 36 [size =\"28937216\"]\n  33 -> 37 [size =\"28937216\"]\n  33 -> 38 [size =\"28937216\"]\n  34 [size=\"47298560\", alpha=\"0.16\", expect_size=\"23649280\"] \n  34 -> 36 [size =\"23649280\"]\n  34 -> 38 [size =\"23649280\"]\n  35 [size=\"70959104\", alpha=\"0.06\", expect_size=\"35479552\"] \n  35 -> 39 [size =\"35479552\"]\n  35 -> 40 [size =\"35479552\"]\n  36 [size=\"40095744\", alpha=\"0.03\", expect_size=\"20047872\"] \n  36 -> 45 [size =\"20047872\"]\n  37 [size=\"74727424\", alpha=\"0.09\", expect_size=\"37363712\"] \n  37 -> 43 [size =\"37363712\"]\n  38 [size=\"80908288\", alpha=\"0.12\", expect_size=\"40454144\"] \n  38 -> 41 [size =\"40454144\"]\n  38 -> 43 [size =\"40454144\"]\n  39 [size=\"63457280\", alpha=\"0.16\", expect_size=\"31728640\"] \n  39 -> 43 [size =\"31728640\"]\n  39 -> 44 [size =\"31728640\"]\n  40 [size=\"92067840\", alpha=\"0.02\", expect_size=\"46033920\"] \n  40 -> 41 [size =\"46033920\"]\n  40 -> 42 [size =\"46033920\"]\n  40 -> 44 [size =\"46033920\"]\n  41 [size=\"104769536\", alpha=\"0.11\", expect_size=\"52384768\"] \n  42 [size=\"55736320\", alpha=\"0.10\", expect_size=\"27868160\"] \n  43 [size=\"68593664\", alpha=\"0.02\", expect_size=\"34296832\"] \n  44 [size=\"39485440\", alpha=\"0.01\", expect_size=\"19742720\"] \n  45 [size=\"22210560\", alpha=\"0.04\", expect_size=\"11105280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102400000\", alpha=\"0.08\", expect_size=\"51200000\"] \n  1 -> 12 [size =\"51200000\"]\n  1 -> 15 [size =\"51200000\"]\n  2 [size=\"82419712\", alpha=\"0.18\", expect_size=\"41209856\"] \n  2 -> 11 [size =\"41209856\"]\n  2 -> 12 [size =\"41209856\"]\n  2 -> 15 [size =\"41209856\"]\n  2 -> 19 [size =\"41209856\"]\n  3 [size=\"87461888\", alpha=\"0.12\", expect_size=\"43730944\"] \n  3 -> 11 [size =\"43730944\"]\n  3 -> 12 [size =\"43730944\"]\n  3 -> 15 [size =\"43730944\"]\n  3 -> 19 [size =\"43730944\"]\n  4 [size=\"28807168\", alpha=\"0.09\", expect_size=\"14403584\"] \n  4 -> 12 [size =\"14403584\"]\n  4 -> 13 [size =\"14403584\"]\n  4 -> 17 [size =\"14403584\"]\n  4 -> 18 [size =\"14403584\"]\n  4 -> 19 [size =\"14403584\"]\n  5 [size=\"13766656\", alpha=\"0.11\", expect_size=\"6883328\"] \n  5 -> 13 [size =\"6883328\"]\n  5 -> 14 [size =\"6883328\"]\n  5 -> 15 [size =\"6883328\"]\n  5 -> 18 [size =\"6883328\"]\n  5 -> 19 [size =\"6883328\"]\n  6 [size=\"67909632\", alpha=\"0.02\", expect_size=\"33954816\"] \n  6 -> 14 [size =\"33954816\"]\n  6 -> 15 [size =\"33954816\"]\n  6 -> 16 [size =\"33954816\"]\n  6 -> 17 [size =\"33954816\"]\n  7 [size=\"52238336\", alpha=\"0.10\", expect_size=\"26119168\"] \n  7 -> 13 [size =\"26119168\"]\n  7 -> 14 [size =\"26119168\"]\n  7 -> 18 [size =\"26119168\"]\n  8 [size=\"57792512\", alpha=\"0.05\", expect_size=\"28896256\"] \n  8 -> 12 [size =\"28896256\"]\n  8 -> 13 [size =\"28896256\"]\n  8 -> 14 [size =\"28896256\"]\n  8 -> 18 [size =\"28896256\"]\n  9 [size=\"17053696\", alpha=\"0.07\", expect_size=\"8526848\"] \n  9 -> 13 [size =\"8526848\"]\n  9 -> 15 [size =\"8526848\"]\n  9 -> 18 [size =\"8526848\"]\n  9 -> 19 [size =\"8526848\"]\n  10 [size=\"28018688\", alpha=\"0.19\", expect_size=\"14009344\"] \n  10 -> 12 [size =\"14009344\"]\n  10 -> 19 [size =\"14009344\"]\n  11 [size=\"103348224\", alpha=\"0.09\", expect_size=\"51674112\"] \n  11 -> 28 [size =\"51674112\"]\n  11 -> 29 [size =\"51674112\"]\n  11 -> 30 [size =\"51674112\"]\n  11 -> 31 [size =\"51674112\"]\n  12 [size=\"45060096\", alpha=\"0.06\", expect_size=\"22530048\"] \n  12 -> 20 [size =\"22530048\"]\n  12 -> 21 [size =\"22530048\"]\n  12 -> 29 [size =\"22530048\"]\n  12 -> 30 [size =\"22530048\"]\n  13 [size=\"37382144\", alpha=\"0.10\", expect_size=\"18691072\"] \n  13 -> 21 [size =\"18691072\"]\n  13 -> 22 [size =\"18691072\"]\n  13 -> 23 [size =\"18691072\"]\n  13 -> 29 [size =\"18691072\"]\n  13 -> 32 [size =\"18691072\"]\n  14 [size=\"92379136\", alpha=\"0.15\", expect_size=\"46189568\"] \n  14 -> 24 [size =\"46189568\"]\n  14 -> 25 [size =\"46189568\"]\n  14 -> 27 [size =\"46189568\"]\n  14 -> 30 [size =\"46189568\"]\n  14 -> 31 [size =\"46189568\"]\n  15 [size=\"39464960\", alpha=\"0.12\", expect_size=\"19732480\"] \n  15 -> 21 [size =\"19732480\"]\n  15 -> 22 [size =\"19732480\"]\n  15 -> 24 [size =\"19732480\"]\n  15 -> 25 [size =\"19732480\"]\n  15 -> 29 [size =\"19732480\"]\n  15 -> 30 [size =\"19732480\"]\n  15 -> 31 [size =\"19732480\"]\n  16 [size=\"91650048\", alpha=\"0.06\", expect_size=\"45825024\"] \n  16 -> 20 [size =\"45825024\"]\n  16 -> 22 [size =\"45825024\"]\n  16 -> 29 [size =\"45825024\"]\n  16 -> 33 [size =\"45825024\"]\n  17 [size=\"102596608\", alpha=\"0.06\", expect_size=\"51298304\"] \n  17 -> 23 [size =\"51298304\"]\n  17 -> 33 [size =\"51298304\"]\n  18 [size=\"56596480\", alpha=\"0.15\", expect_size=\"28298240\"] \n  18 -> 21 [size =\"28298240\"]\n  18 -> 26 [size =\"28298240\"]\n  19 [size=\"77862912\", alpha=\"0.18\", expect_size=\"38931456\"] \n  19 -> 22 [size =\"38931456\"]\n  19 -> 23 [size =\"38931456\"]\n  19 -> 24 [size =\"38931456\"]\n  19 -> 25 [size =\"38931456\"]\n  19 -> 28 [size =\"38931456\"]\n  19 -> 29 [size =\"38931456\"]\n  20 [size=\"14774272\", alpha=\"0.02\", expect_size=\"7387136\"] \n  20 -> 34 [size =\"7387136\"]\n  20 -> 37 [size =\"7387136\"]\n  20 -> 45 [size =\"7387136\"]\n  21 [size=\"103448576\", alpha=\"0.06\", expect_size=\"51724288\"] \n  21 -> 34 [size =\"51724288\"]\n  21 -> 35 [size =\"51724288\"]\n  21 -> 36 [size =\"51724288\"]\n  21 -> 45 [size =\"51724288\"]\n  22 [size=\"50526208\", alpha=\"0.04\", expect_size=\"25263104\"] \n  22 -> 35 [size =\"25263104\"]\n  22 -> 38 [size =\"25263104\"]\n  22 -> 39 [size =\"25263104\"]\n  22 -> 41 [size =\"25263104\"]\n  22 -> 42 [size =\"25263104\"]\n  22 -> 43 [size =\"25263104\"]\n  23 [size=\"79280128\", alpha=\"0.19\", expect_size=\"39640064\"] \n  23 -> 35 [size =\"39640064\"]\n  23 -> 37 [size =\"39640064\"]\n  23 -> 40 [size =\"39640064\"]\n  23 -> 42 [size =\"39640064\"]\n  23 -> 44 [size =\"39640064\"]\n  23 -> 45 [size =\"39640064\"]\n  24 [size=\"29835264\", alpha=\"0.18\", expect_size=\"14917632\"] \n  24 -> 34 [size =\"14917632\"]\n  24 -> 35 [size =\"14917632\"]\n  24 -> 36 [size =\"14917632\"]\n  24 -> 37 [size =\"14917632\"]\n  24 -> 39 [size =\"14917632\"]\n  24 -> 45 [size =\"14917632\"]\n  25 [size=\"100798464\", alpha=\"0.18\", expect_size=\"50399232\"] \n  25 -> 37 [size =\"50399232\"]\n  25 -> 41 [size =\"50399232\"]\n  25 -> 43 [size =\"50399232\"]\n  26 [size=\"61280256\", alpha=\"0.09\", expect_size=\"30640128\"] \n  26 -> 34 [size =\"30640128\"]\n  26 -> 35 [size =\"30640128\"]\n  26 -> 37 [size =\"30640128\"]\n  26 -> 39 [size =\"30640128\"]\n  27 [size=\"88342528\", alpha=\"0.10\", expect_size=\"44171264\"] \n  27 -> 35 [size =\"44171264\"]\n  27 -> 37 [size =\"44171264\"]\n  27 -> 42 [size =\"44171264\"]\n  27 -> 44 [size =\"44171264\"]\n  28 [size=\"22542336\", alpha=\"0.01\", expect_size=\"11271168\"] \n  28 -> 35 [size =\"11271168\"]\n  28 -> 36 [size =\"11271168\"]\n  28 -> 37 [size =\"11271168\"]\n  28 -> 38 [size =\"11271168\"]\n  28 -> 40 [size =\"11271168\"]\n  28 -> 41 [size =\"11271168\"]\n  28 -> 42 [size =\"11271168\"]\n  28 -> 43 [size =\"11271168\"]\n  28 -> 45 [size =\"11271168\"]\n  29 [size=\"91398144\", alpha=\"0.13\", expect_size=\"45699072\"] \n  29 -> 36 [size =\"45699072\"]\n  29 -> 43 [size =\"45699072\"]\n  29 -> 45 [size =\"45699072\"]\n  30 [size=\"83095552\", alpha=\"0.08\", expect_size=\"41547776\"] \n  30 -> 37 [size =\"41547776\"]\n  30 -> 43 [size =\"41547776\"]\n  31 [size=\"93390848\", alpha=\"0.04\", expect_size=\"46695424\"] \n  31 -> 34 [size =\"46695424\"]\n  31 -> 36 [size =\"46695424\"]\n  31 -> 37 [size =\"46695424\"]\n  31 -> 43 [size =\"46695424\"]\n  32 [size=\"25454592\", alpha=\"0.06\", expect_size=\"12727296\"] \n  32 -> 35 [size =\"12727296\"]\n  32 -> 36 [size =\"12727296\"]\n  32 -> 43 [size =\"12727296\"]\n  33 [size=\"45594624\", alpha=\"0.15\", expect_size=\"22797312\"] \n  33 -> 34 [size =\"22797312\"]\n  33 -> 36 [size =\"22797312\"]\n  33 -> 39 [size =\"22797312\"]\n  33 -> 41 [size =\"22797312\"]\n  34 [size=\"42043392\", alpha=\"0.01\", expect_size=\"21021696\"] \n  35 [size=\"33126400\", alpha=\"0.12\", expect_size=\"16563200\"] \n  36 [size=\"22122496\", alpha=\"0.02\", expect_size=\"11061248\"] \n  37 [size=\"66457600\", alpha=\"0.10\", expect_size=\"33228800\"] \n  38 [size=\"19142656\", alpha=\"0.09\", expect_size=\"9571328\"] \n  39 [size=\"21856256\", alpha=\"0.01\", expect_size=\"10928128\"] \n  40 [size=\"81166336\", alpha=\"0.15\", expect_size=\"40583168\"] \n  41 [size=\"25864192\", alpha=\"0.08\", expect_size=\"12932096\"] \n  42 [size=\"43184128\", alpha=\"0.10\", expect_size=\"21592064\"] \n  43 [size=\"73328640\", alpha=\"0.06\", expect_size=\"36664320\"] \n  44 [size=\"48824320\", alpha=\"0.07\", expect_size=\"24412160\"] \n  45 [size=\"51564544\", alpha=\"0.06\", expect_size=\"25782272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38407680\", alpha=\"0.17\", expect_size=\"15363072\"] \n  1 -> 33 [size =\"15363072\"]\n  1 -> 34 [size =\"15363072\"]\n  1 -> 38 [size =\"15363072\"]\n  1 -> 40 [size =\"15363072\"]\n  1 -> 41 [size =\"15363072\"]\n  2 [size=\"65287680\", alpha=\"0.07\", expect_size=\"26115072\"] \n  2 -> 33 [size =\"26115072\"]\n  2 -> 34 [size =\"26115072\"]\n  2 -> 35 [size =\"26115072\"]\n  2 -> 36 [size =\"26115072\"]\n  2 -> 37 [size =\"26115072\"]\n  2 -> 38 [size =\"26115072\"]\n  2 -> 39 [size =\"26115072\"]\n  2 -> 40 [size =\"26115072\"]\n  2 -> 41 [size =\"26115072\"]\n  2 -> 44 [size =\"26115072\"]\n  3 [size=\"128430080\", alpha=\"0.07\", expect_size=\"51372032\"] \n  3 -> 33 [size =\"51372032\"]\n  3 -> 34 [size =\"51372032\"]\n  3 -> 35 [size =\"51372032\"]\n  3 -> 37 [size =\"51372032\"]\n  3 -> 39 [size =\"51372032\"]\n  3 -> 40 [size =\"51372032\"]\n  3 -> 41 [size =\"51372032\"]\n  4 [size=\"71659520\", alpha=\"0.06\", expect_size=\"28663808\"] \n  4 -> 33 [size =\"28663808\"]\n  4 -> 34 [size =\"28663808\"]\n  4 -> 38 [size =\"28663808\"]\n  4 -> 39 [size =\"28663808\"]\n  4 -> 39 [size =\"28663808\"]\n  4 -> 40 [size =\"28663808\"]\n  4 -> 44 [size =\"28663808\"]\n  5 [size=\"43811840\", alpha=\"0.08\", expect_size=\"17524736\"] \n  5 -> 33 [size =\"17524736\"]\n  5 -> 34 [size =\"17524736\"]\n  5 -> 38 [size =\"17524736\"]\n  5 -> 40 [size =\"17524736\"]\n  5 -> 41 [size =\"17524736\"]\n  5 -> 42 [size =\"17524736\"]\n  5 -> 44 [size =\"17524736\"]\n  6 [size=\"114439680\", alpha=\"0.19\", expect_size=\"45775872\"] \n  6 -> 33 [size =\"45775872\"]\n  6 -> 34 [size =\"45775872\"]\n  6 -> 35 [size =\"45775872\"]\n  6 -> 36 [size =\"45775872\"]\n  6 -> 39 [size =\"45775872\"]\n  6 -> 41 [size =\"45775872\"]\n  6 -> 44 [size =\"45775872\"]\n  7 [size=\"113528320\", alpha=\"0.17\", expect_size=\"45411328\"] \n  7 -> 33 [size =\"45411328\"]\n  7 -> 34 [size =\"45411328\"]\n  7 -> 36 [size =\"45411328\"]\n  7 -> 39 [size =\"45411328\"]\n  7 -> 39 [size =\"45411328\"]\n  7 -> 40 [size =\"45411328\"]\n  7 -> 41 [size =\"45411328\"]\n  7 -> 45 [size =\"45411328\"]\n  8 [size=\"102666240\", alpha=\"0.19\", expect_size=\"41066496\"] \n  8 -> 33 [size =\"41066496\"]\n  8 -> 36 [size =\"41066496\"]\n  8 -> 41 [size =\"41066496\"]\n  9 [size=\"113039360\", alpha=\"0.05\", expect_size=\"45215744\"] \n  9 -> 35 [size =\"45215744\"]\n  9 -> 36 [size =\"45215744\"]\n  9 -> 38 [size =\"45215744\"]\n  9 -> 40 [size =\"45215744\"]\n  9 -> 41 [size =\"45215744\"]\n  10 [size=\"49748480\", alpha=\"0.02\", expect_size=\"19899392\"] \n  10 -> 33 [size =\"19899392\"]\n  10 -> 35 [size =\"19899392\"]\n  10 -> 36 [size =\"19899392\"]\n  10 -> 37 [size =\"19899392\"]\n  10 -> 38 [size =\"19899392\"]\n  10 -> 39 [size =\"19899392\"]\n  10 -> 40 [size =\"19899392\"]\n  10 -> 41 [size =\"19899392\"]\n  10 -> 42 [size =\"19899392\"]\n  10 -> 44 [size =\"19899392\"]\n  11 [size=\"30932480\", alpha=\"0.01\", expect_size=\"12372992\"] \n  11 -> 33 [size =\"12372992\"]\n  11 -> 34 [size =\"12372992\"]\n  11 -> 35 [size =\"12372992\"]\n  11 -> 36 [size =\"12372992\"]\n  11 -> 40 [size =\"12372992\"]\n  11 -> 41 [size =\"12372992\"]\n  11 -> 44 [size =\"12372992\"]\n  12 [size=\"130222080\", alpha=\"0.13\", expect_size=\"52088832\"] \n  12 -> 33 [size =\"52088832\"]\n  12 -> 37 [size =\"52088832\"]\n  12 -> 38 [size =\"52088832\"]\n  12 -> 40 [size =\"52088832\"]\n  12 -> 40 [size =\"52088832\"]\n  12 -> 41 [size =\"52088832\"]\n  12 -> 43 [size =\"52088832\"]\n  12 -> 45 [size =\"52088832\"]\n  13 [size=\"53772800\", alpha=\"0.04\", expect_size=\"21509120\"] \n  13 -> 39 [size =\"21509120\"]\n  13 -> 40 [size =\"21509120\"]\n  13 -> 41 [size =\"21509120\"]\n  14 [size=\"93201920\", alpha=\"0.02\", expect_size=\"37280768\"] \n  14 -> 35 [size =\"37280768\"]\n  14 -> 38 [size =\"37280768\"]\n  14 -> 39 [size =\"37280768\"]\n  14 -> 41 [size =\"37280768\"]\n  14 -> 42 [size =\"37280768\"]\n  14 -> 44 [size =\"37280768\"]\n  14 -> 45 [size =\"37280768\"]\n  15 [size=\"128286720\", alpha=\"0.09\", expect_size=\"51314688\"] \n  15 -> 34 [size =\"51314688\"]\n  15 -> 35 [size =\"51314688\"]\n  15 -> 38 [size =\"51314688\"]\n  15 -> 41 [size =\"51314688\"]\n  15 -> 43 [size =\"51314688\"]\n  15 -> 44 [size =\"51314688\"]\n  15 -> 45 [size =\"51314688\"]\n  16 [size=\"57246720\", alpha=\"0.18\", expect_size=\"22898688\"] \n  16 -> 33 [size =\"22898688\"]\n  16 -> 34 [size =\"22898688\"]\n  16 -> 39 [size =\"22898688\"]\n  16 -> 41 [size =\"22898688\"]\n  16 -> 43 [size =\"22898688\"]\n  16 -> 44 [size =\"22898688\"]\n  17 [size=\"49249280\", alpha=\"0.13\", expect_size=\"19699712\"] \n  17 -> 34 [size =\"19699712\"]\n  17 -> 36 [size =\"19699712\"]\n  17 -> 39 [size =\"19699712\"]\n  17 -> 40 [size =\"19699712\"]\n  17 -> 41 [size =\"19699712\"]\n  17 -> 44 [size =\"19699712\"]\n  18 [size=\"31367680\", alpha=\"0.02\", expect_size=\"12547072\"] \n  18 -> 34 [size =\"12547072\"]\n  18 -> 35 [size =\"12547072\"]\n  18 -> 44 [size =\"12547072\"]\n  19 [size=\"26731520\", alpha=\"0.15\", expect_size=\"10692608\"] \n  19 -> 33 [size =\"10692608\"]\n  19 -> 34 [size =\"10692608\"]\n  19 -> 38 [size =\"10692608\"]\n  19 -> 41 [size =\"10692608\"]\n  19 -> 42 [size =\"10692608\"]\n  19 -> 44 [size =\"10692608\"]\n  19 -> 45 [size =\"10692608\"]\n  20 [size=\"56942080\", alpha=\"0.16\", expect_size=\"22776832\"] \n  20 -> 33 [size =\"22776832\"]\n  20 -> 34 [size =\"22776832\"]\n  20 -> 36 [size =\"22776832\"]\n  20 -> 37 [size =\"22776832\"]\n  20 -> 38 [size =\"22776832\"]\n  20 -> 40 [size =\"22776832\"]\n  20 -> 44 [size =\"22776832\"]\n  21 [size=\"67535360\", alpha=\"0.02\", expect_size=\"27014144\"] \n  21 -> 33 [size =\"27014144\"]\n  21 -> 34 [size =\"27014144\"]\n  21 -> 38 [size =\"27014144\"]\n  21 -> 40 [size =\"27014144\"]\n  21 -> 41 [size =\"27014144\"]\n  21 -> 44 [size =\"27014144\"]\n  22 [size=\"70991360\", alpha=\"0.17\", expect_size=\"28396544\"] \n  22 -> 33 [size =\"28396544\"]\n  22 -> 34 [size =\"28396544\"]\n  22 -> 35 [size =\"28396544\"]\n  22 -> 38 [size =\"28396544\"]\n  22 -> 40 [size =\"28396544\"]\n  22 -> 44 [size =\"28396544\"]\n  23 [size=\"27939840\", alpha=\"0.11\", expect_size=\"11175936\"] \n  23 -> 33 [size =\"11175936\"]\n  23 -> 34 [size =\"11175936\"]\n  23 -> 36 [size =\"11175936\"]\n  23 -> 38 [size =\"11175936\"]\n  23 -> 39 [size =\"11175936\"]\n  23 -> 40 [size =\"11175936\"]\n  23 -> 41 [size =\"11175936\"]\n  23 -> 44 [size =\"11175936\"]\n  24 [size=\"54456320\", alpha=\"0.15\", expect_size=\"21782528\"] \n  24 -> 33 [size =\"21782528\"]\n  24 -> 34 [size =\"21782528\"]\n  24 -> 36 [size =\"21782528\"]\n  24 -> 38 [size =\"21782528\"]\n  24 -> 40 [size =\"21782528\"]\n  24 -> 41 [size =\"21782528\"]\n  24 -> 45 [size =\"21782528\"]\n  25 [size=\"67714560\", alpha=\"0.04\", expect_size=\"27085824\"] \n  25 -> 33 [size =\"27085824\"]\n  25 -> 34 [size =\"27085824\"]\n  25 -> 35 [size =\"27085824\"]\n  25 -> 38 [size =\"27085824\"]\n  25 -> 39 [size =\"27085824\"]\n  25 -> 40 [size =\"27085824\"]\n  25 -> 41 [size =\"27085824\"]\n  25 -> 44 [size =\"27085824\"]\n  25 -> 45 [size =\"27085824\"]\n  26 [size=\"123599360\", alpha=\"0.10\", expect_size=\"49439744\"] \n  26 -> 33 [size =\"49439744\"]\n  26 -> 34 [size =\"49439744\"]\n  26 -> 38 [size =\"49439744\"]\n  26 -> 38 [size =\"49439744\"]\n  26 -> 39 [size =\"49439744\"]\n  26 -> 40 [size =\"49439744\"]\n  26 -> 41 [size =\"49439744\"]\n  26 -> 45 [size =\"49439744\"]\n  26 -> 45 [size =\"49439744\"]\n  27 [size=\"113763840\", alpha=\"0.14\", expect_size=\"45505536\"] \n  27 -> 33 [size =\"45505536\"]\n  27 -> 34 [size =\"45505536\"]\n  27 -> 38 [size =\"45505536\"]\n  27 -> 39 [size =\"45505536\"]\n  27 -> 40 [size =\"45505536\"]\n  27 -> 41 [size =\"45505536\"]\n  27 -> 41 [size =\"45505536\"]\n  27 -> 42 [size =\"45505536\"]\n  27 -> 44 [size =\"45505536\"]\n  27 -> 45 [size =\"45505536\"]\n  28 [size=\"71930880\", alpha=\"0.12\", expect_size=\"28772352\"] \n  28 -> 33 [size =\"28772352\"]\n  28 -> 34 [size =\"28772352\"]\n  28 -> 35 [size =\"28772352\"]\n  28 -> 38 [size =\"28772352\"]\n  28 -> 39 [size =\"28772352\"]\n  28 -> 41 [size =\"28772352\"]\n  28 -> 44 [size =\"28772352\"]\n  28 -> 45 [size =\"28772352\"]\n  29 [size=\"86359040\", alpha=\"0.08\", expect_size=\"34543616\"] \n  29 -> 33 [size =\"34543616\"]\n  29 -> 34 [size =\"34543616\"]\n  29 -> 36 [size =\"34543616\"]\n  29 -> 39 [size =\"34543616\"]\n  29 -> 41 [size =\"34543616\"]\n  29 -> 45 [size =\"34543616\"]\n  30 [size=\"56253440\", alpha=\"0.10\", expect_size=\"22501376\"] \n  30 -> 33 [size =\"22501376\"]\n  30 -> 34 [size =\"22501376\"]\n  30 -> 35 [size =\"22501376\"]\n  30 -> 37 [size =\"22501376\"]\n  30 -> 44 [size =\"22501376\"]\n  31 [size=\"34490880\", alpha=\"0.15\", expect_size=\"13796352\"] \n  31 -> 33 [size =\"13796352\"]\n  31 -> 34 [size =\"13796352\"]\n  31 -> 36 [size =\"13796352\"]\n  31 -> 40 [size =\"13796352\"]\n  31 -> 44 [size =\"13796352\"]\n  32 [size=\"46374400\", alpha=\"0.19\", expect_size=\"18549760\"] \n  32 -> 33 [size =\"18549760\"]\n  32 -> 34 [size =\"18549760\"]\n  32 -> 36 [size =\"18549760\"]\n  32 -> 37 [size =\"18549760\"]\n  32 -> 39 [size =\"18549760\"]\n  32 -> 40 [size =\"18549760\"]\n  32 -> 43 [size =\"18549760\"]\n  32 -> 44 [size =\"18549760\"]\n  33 [size=\"26119680\", alpha=\"0.11\", expect_size=\"10447872\"] \n  34 [size=\"89054720\", alpha=\"0.16\", expect_size=\"35621888\"] \n  35 [size=\"57802240\", alpha=\"0.01\", expect_size=\"23120896\"] \n  36 [size=\"81034240\", alpha=\"0.13\", expect_size=\"32413696\"] \n  37 [size=\"24156160\", alpha=\"0.11\", expect_size=\"9662464\"] \n  38 [size=\"105553920\", alpha=\"0.12\", expect_size=\"42221568\"] \n  39 [size=\"60894720\", alpha=\"0.16\", expect_size=\"24357888\"] \n  40 [size=\"108080640\", alpha=\"0.07\", expect_size=\"43232256\"] \n  41 [size=\"47823360\", alpha=\"0.08\", expect_size=\"19129344\"] \n  42 [size=\"15910400\", alpha=\"0.18\", expect_size=\"6364160\"] \n  43 [size=\"129464320\", alpha=\"0.10\", expect_size=\"51785728\"] \n  44 [size=\"75251200\", alpha=\"0.10\", expect_size=\"30100480\"] \n  45 [size=\"51338240\", alpha=\"0.19\", expect_size=\"20535296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51678720\", alpha=\"0.20\", expect_size=\"20671488\"] \n  1 -> 2 [size =\"20671488\"]\n  2 [size=\"111523840\", alpha=\"0.20\", expect_size=\"44609536\"] \n  2 -> 3 [size =\"44609536\"]\n  2 -> 4 [size =\"44609536\"]\n  2 -> 5 [size =\"44609536\"]\n  3 [size=\"123097600\", alpha=\"0.05\", expect_size=\"49239040\"] \n  3 -> 6 [size =\"49239040\"]\n  4 [size=\"73121280\", alpha=\"0.09\", expect_size=\"29248512\"] \n  4 -> 6 [size =\"29248512\"]\n  4 -> 7 [size =\"29248512\"]\n  4 -> 8 [size =\"29248512\"]\n  5 [size=\"48107520\", alpha=\"0.12\", expect_size=\"19243008\"] \n  5 -> 7 [size =\"19243008\"]\n  5 -> 8 [size =\"19243008\"]\n  6 [size=\"26641920\", alpha=\"0.16\", expect_size=\"10656768\"] \n  6 -> 9 [size =\"10656768\"]\n  6 -> 10 [size =\"10656768\"]\n  7 [size=\"130670080\", alpha=\"0.05\", expect_size=\"52268032\"] \n  8 [size=\"81825280\", alpha=\"0.12\", expect_size=\"32730112\"] \n  9 [size=\"119208960\", alpha=\"0.10\", expect_size=\"47683584\"] \n  9 -> 11 [size =\"47683584\"]\n  9 -> 12 [size =\"47683584\"]\n  9 -> 13 [size =\"47683584\"]\n  9 -> 14 [size =\"47683584\"]\n  10 [size=\"29504000\", alpha=\"0.05\", expect_size=\"11801600\"] \n  10 -> 12 [size =\"11801600\"]\n  10 -> 13 [size =\"11801600\"]\n  10 -> 14 [size =\"11801600\"]\n  11 [size=\"15672320\", alpha=\"0.10\", expect_size=\"6268928\"] \n  11 -> 16 [size =\"6268928\"]\n  12 [size=\"14520320\", alpha=\"0.05\", expect_size=\"5808128\"] \n  12 -> 15 [size =\"5808128\"]\n  13 [size=\"13875200\", alpha=\"0.03\", expect_size=\"5550080\"] \n  13 -> 15 [size =\"5550080\"]\n  13 -> 16 [size =\"5550080\"]\n  14 [size=\"44359680\", alpha=\"0.02\", expect_size=\"17743872\"] \n  14 -> 15 [size =\"17743872\"]\n  15 [size=\"94906880\", alpha=\"0.02\", expect_size=\"37962752\"] \n  15 -> 17 [size =\"37962752\"]\n  15 -> 18 [size =\"37962752\"]\n  16 [size=\"46940160\", alpha=\"0.13\", expect_size=\"18776064\"] \n  16 -> 17 [size =\"18776064\"]\n  16 -> 18 [size =\"18776064\"]\n  17 [size=\"23475200\", alpha=\"0.11\", expect_size=\"9390080\"] \n  17 -> 19 [size =\"9390080\"]\n  17 -> 20 [size =\"9390080\"]\n  17 -> 21 [size =\"9390080\"]\n  18 [size=\"51878400\", alpha=\"0.14\", expect_size=\"20751360\"] \n  18 -> 19 [size =\"20751360\"]\n  18 -> 21 [size =\"20751360\"]\n  19 [size=\"121640960\", alpha=\"0.11\", expect_size=\"48656384\"] \n  20 [size=\"61411840\", alpha=\"0.13\", expect_size=\"24564736\"] \n  20 -> 22 [size =\"24564736\"]\n  21 [size=\"90575360\", alpha=\"0.02\", expect_size=\"36230144\"] \n  21 -> 22 [size =\"36230144\"]\n  21 -> 23 [size =\"36230144\"]\n  22 [size=\"31534080\", alpha=\"0.07\", expect_size=\"12613632\"] \n  22 -> 24 [size =\"12613632\"]\n  22 -> 25 [size =\"12613632\"]\n  23 [size=\"60974080\", alpha=\"0.12\", expect_size=\"24389632\"] \n  23 -> 24 [size =\"24389632\"]\n  23 -> 25 [size =\"24389632\"]\n  24 [size=\"80373760\", alpha=\"0.06\", expect_size=\"32149504\"] \n  24 -> 26 [size =\"32149504\"]\n  24 -> 27 [size =\"32149504\"]\n  25 [size=\"92247040\", alpha=\"0.06\", expect_size=\"36898816\"] \n  25 -> 26 [size =\"36898816\"]\n  25 -> 27 [size =\"36898816\"]\n  26 [size=\"102464000\", alpha=\"0.09\", expect_size=\"40985600\"] \n  26 -> 28 [size =\"40985600\"]\n  26 -> 30 [size =\"40985600\"]\n  27 [size=\"61350400\", alpha=\"0.11\", expect_size=\"24540160\"] \n  27 -> 28 [size =\"24540160\"]\n  27 -> 29 [size =\"24540160\"]\n  28 [size=\"125422080\", alpha=\"0.06\", expect_size=\"50168832\"] \n  28 -> 31 [size =\"50168832\"]\n  28 -> 32 [size =\"50168832\"]\n  29 [size=\"89167360\", alpha=\"0.18\", expect_size=\"35666944\"] \n  29 -> 32 [size =\"35666944\"]\n  29 -> 33 [size =\"35666944\"]\n  30 [size=\"33827840\", alpha=\"0.13\", expect_size=\"13531136\"] \n  30 -> 33 [size =\"13531136\"]\n  30 -> 34 [size =\"13531136\"]\n  31 [size=\"110243840\", alpha=\"0.08\", expect_size=\"44097536\"] \n  32 [size=\"121057280\", alpha=\"0.04\", expect_size=\"48422912\"] \n  32 -> 35 [size =\"48422912\"]\n  32 -> 36 [size =\"48422912\"]\n  33 [size=\"46725120\", alpha=\"0.20\", expect_size=\"18690048\"] \n  33 -> 35 [size =\"18690048\"]\n  33 -> 36 [size =\"18690048\"]\n  34 [size=\"115202560\", alpha=\"0.01\", expect_size=\"46081024\"] \n  34 -> 36 [size =\"46081024\"]\n  35 [size=\"32609280\", alpha=\"0.16\", expect_size=\"13043712\"] \n  35 -> 37 [size =\"13043712\"]\n  36 [size=\"69877760\", alpha=\"0.16\", expect_size=\"27951104\"] \n  36 -> 38 [size =\"27951104\"]\n  37 [size=\"122580480\", alpha=\"0.19\", expect_size=\"49032192\"] \n  37 -> 40 [size =\"49032192\"]\n  38 [size=\"72348160\", alpha=\"0.08\", expect_size=\"28939264\"] \n  38 -> 39 [size =\"28939264\"]\n  38 -> 40 [size =\"28939264\"]\n  38 -> 41 [size =\"28939264\"]\n  39 [size=\"105868800\", alpha=\"0.15\", expect_size=\"42347520\"] \n  39 -> 42 [size =\"42347520\"]\n  39 -> 43 [size =\"42347520\"]\n  39 -> 44 [size =\"42347520\"]\n  39 -> 45 [size =\"42347520\"]\n  40 [size=\"93317120\", alpha=\"0.11\", expect_size=\"37326848\"] \n  40 -> 42 [size =\"37326848\"]\n  40 -> 45 [size =\"37326848\"]\n  41 [size=\"51087360\", alpha=\"0.20\", expect_size=\"20434944\"] \n  41 -> 43 [size =\"20434944\"]\n  41 -> 45 [size =\"20434944\"]\n  42 [size=\"99709440\", alpha=\"0.11\", expect_size=\"39883776\"] \n  43 [size=\"122636800\", alpha=\"0.11\", expect_size=\"49054720\"] \n  44 [size=\"120637440\", alpha=\"0.03\", expect_size=\"48254976\"] \n  45 [size=\"124963840\", alpha=\"0.08\", expect_size=\"49985536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97634304\", alpha=\"0.02\", expect_size=\"48817152\"] \n  1 -> 29 [size =\"48817152\"]\n  1 -> 33 [size =\"48817152\"]\n  1 -> 40 [size =\"48817152\"]\n  1 -> 41 [size =\"48817152\"]\n  1 -> 44 [size =\"48817152\"]\n  2 [size=\"88213504\", alpha=\"0.11\", expect_size=\"44106752\"] \n  2 -> 29 [size =\"44106752\"]\n  2 -> 33 [size =\"44106752\"]\n  2 -> 35 [size =\"44106752\"]\n  2 -> 36 [size =\"44106752\"]\n  2 -> 39 [size =\"44106752\"]\n  2 -> 41 [size =\"44106752\"]\n  3 [size=\"29085696\", alpha=\"0.17\", expect_size=\"14542848\"] \n  3 -> 29 [size =\"14542848\"]\n  3 -> 33 [size =\"14542848\"]\n  3 -> 35 [size =\"14542848\"]\n  3 -> 36 [size =\"14542848\"]\n  3 -> 39 [size =\"14542848\"]\n  3 -> 41 [size =\"14542848\"]\n  3 -> 42 [size =\"14542848\"]\n  3 -> 43 [size =\"14542848\"]\n  4 [size=\"70971392\", alpha=\"0.10\", expect_size=\"35485696\"] \n  4 -> 33 [size =\"35485696\"]\n  4 -> 33 [size =\"35485696\"]\n  4 -> 35 [size =\"35485696\"]\n  4 -> 39 [size =\"35485696\"]\n  4 -> 41 [size =\"35485696\"]\n  4 -> 41 [size =\"35485696\"]\n  4 -> 43 [size =\"35485696\"]\n  4 -> 44 [size =\"35485696\"]\n  5 [size=\"31535104\", alpha=\"0.02\", expect_size=\"15767552\"] \n  5 -> 24 [size =\"15767552\"]\n  5 -> 26 [size =\"15767552\"]\n  5 -> 28 [size =\"15767552\"]\n  5 -> 29 [size =\"15767552\"]\n  5 -> 32 [size =\"15767552\"]\n  5 -> 35 [size =\"15767552\"]\n  5 -> 41 [size =\"15767552\"]\n  5 -> 43 [size =\"15767552\"]\n  6 [size=\"49338368\", alpha=\"0.02\", expect_size=\"24669184\"] \n  6 -> 32 [size =\"24669184\"]\n  6 -> 35 [size =\"24669184\"]\n  6 -> 41 [size =\"24669184\"]\n  7 [size=\"23275520\", alpha=\"0.13\", expect_size=\"11637760\"] \n  7 -> 27 [size =\"11637760\"]\n  7 -> 28 [size =\"11637760\"]\n  7 -> 29 [size =\"11637760\"]\n  7 -> 32 [size =\"11637760\"]\n  7 -> 34 [size =\"11637760\"]\n  7 -> 35 [size =\"11637760\"]\n  7 -> 37 [size =\"11637760\"]\n  7 -> 39 [size =\"11637760\"]\n  7 -> 42 [size =\"11637760\"]\n  8 [size=\"80089088\", alpha=\"0.18\", expect_size=\"40044544\"] \n  8 -> 26 [size =\"40044544\"]\n  8 -> 27 [size =\"40044544\"]\n  8 -> 29 [size =\"40044544\"]\n  8 -> 33 [size =\"40044544\"]\n  8 -> 35 [size =\"40044544\"]\n  8 -> 36 [size =\"40044544\"]\n  8 -> 37 [size =\"40044544\"]\n  8 -> 39 [size =\"40044544\"]\n  8 -> 42 [size =\"40044544\"]\n  8 -> 43 [size =\"40044544\"]\n  9 [size=\"27379712\", alpha=\"0.13\", expect_size=\"13689856\"] \n  9 -> 26 [size =\"13689856\"]\n  9 -> 27 [size =\"13689856\"]\n  9 -> 28 [size =\"13689856\"]\n  9 -> 29 [size =\"13689856\"]\n  9 -> 32 [size =\"13689856\"]\n  9 -> 37 [size =\"13689856\"]\n  9 -> 38 [size =\"13689856\"]\n  9 -> 42 [size =\"13689856\"]\n  10 [size=\"15925248\", alpha=\"0.18\", expect_size=\"7962624\"] \n  10 -> 27 [size =\"7962624\"]\n  10 -> 34 [size =\"7962624\"]\n  10 -> 39 [size =\"7962624\"]\n  10 -> 40 [size =\"7962624\"]\n  10 -> 43 [size =\"7962624\"]\n  10 -> 44 [size =\"7962624\"]\n  11 [size=\"62310400\", alpha=\"0.02\", expect_size=\"31155200\"] \n  11 -> 27 [size =\"31155200\"]\n  11 -> 31 [size =\"31155200\"]\n  11 -> 34 [size =\"31155200\"]\n  11 -> 39 [size =\"31155200\"]\n  11 -> 40 [size =\"31155200\"]\n  11 -> 42 [size =\"31155200\"]\n  12 [size=\"69525504\", alpha=\"0.13\", expect_size=\"34762752\"] \n  12 -> 24 [size =\"34762752\"]\n  12 -> 27 [size =\"34762752\"]\n  12 -> 28 [size =\"34762752\"]\n  12 -> 33 [size =\"34762752\"]\n  12 -> 34 [size =\"34762752\"]\n  13 [size=\"25229312\", alpha=\"0.02\", expect_size=\"12614656\"] \n  13 -> 30 [size =\"12614656\"]\n  13 -> 34 [size =\"12614656\"]\n  13 -> 36 [size =\"12614656\"]\n  13 -> 39 [size =\"12614656\"]\n  13 -> 42 [size =\"12614656\"]\n  13 -> 43 [size =\"12614656\"]\n  13 -> 44 [size =\"12614656\"]\n  14 [size=\"13023232\", alpha=\"0.02\", expect_size=\"6511616\"] \n  14 -> 27 [size =\"6511616\"]\n  14 -> 31 [size =\"6511616\"]\n  14 -> 34 [size =\"6511616\"]\n  14 -> 36 [size =\"6511616\"]\n  14 -> 39 [size =\"6511616\"]\n  14 -> 41 [size =\"6511616\"]\n  14 -> 42 [size =\"6511616\"]\n  14 -> 43 [size =\"6511616\"]\n  15 [size=\"60493824\", alpha=\"0.06\", expect_size=\"30246912\"] \n  15 -> 39 [size =\"30246912\"]\n  15 -> 41 [size =\"30246912\"]\n  16 [size=\"72083456\", alpha=\"0.10\", expect_size=\"36041728\"] \n  16 -> 27 [size =\"36041728\"]\n  16 -> 28 [size =\"36041728\"]\n  16 -> 29 [size =\"36041728\"]\n  16 -> 31 [size =\"36041728\"]\n  16 -> 32 [size =\"36041728\"]\n  16 -> 34 [size =\"36041728\"]\n  16 -> 35 [size =\"36041728\"]\n  16 -> 38 [size =\"36041728\"]\n  17 [size=\"79470592\", alpha=\"0.09\", expect_size=\"39735296\"] \n  17 -> 25 [size =\"39735296\"]\n  17 -> 27 [size =\"39735296\"]\n  17 -> 29 [size =\"39735296\"]\n  17 -> 32 [size =\"39735296\"]\n  17 -> 33 [size =\"39735296\"]\n  17 -> 35 [size =\"39735296\"]\n  17 -> 36 [size =\"39735296\"]\n  17 -> 39 [size =\"39735296\"]\n  17 -> 42 [size =\"39735296\"]\n  18 [size=\"47249408\", alpha=\"0.07\", expect_size=\"23624704\"] \n  18 -> 33 [size =\"23624704\"]\n  18 -> 36 [size =\"23624704\"]\n  18 -> 40 [size =\"23624704\"]\n  18 -> 45 [size =\"23624704\"]\n  19 [size=\"35643392\", alpha=\"0.15\", expect_size=\"17821696\"] \n  19 -> 24 [size =\"17821696\"]\n  19 -> 28 [size =\"17821696\"]\n  19 -> 29 [size =\"17821696\"]\n  19 -> 33 [size =\"17821696\"]\n  19 -> 36 [size =\"17821696\"]\n  19 -> 37 [size =\"17821696\"]\n  19 -> 40 [size =\"17821696\"]\n  20 [size=\"94672896\", alpha=\"0.05\", expect_size=\"47336448\"] \n  20 -> 33 [size =\"47336448\"]\n  20 -> 34 [size =\"47336448\"]\n  20 -> 36 [size =\"47336448\"]\n  20 -> 40 [size =\"47336448\"]\n  20 -> 41 [size =\"47336448\"]\n  21 [size=\"84563968\", alpha=\"0.14\", expect_size=\"42281984\"] \n  21 -> 30 [size =\"42281984\"]\n  21 -> 33 [size =\"42281984\"]\n  21 -> 35 [size =\"42281984\"]\n  21 -> 37 [size =\"42281984\"]\n  21 -> 38 [size =\"42281984\"]\n  21 -> 40 [size =\"42281984\"]\n  21 -> 41 [size =\"42281984\"]\n  21 -> 44 [size =\"42281984\"]\n  22 [size=\"95215616\", alpha=\"0.00\", expect_size=\"47607808\"] \n  22 -> 33 [size =\"47607808\"]\n  22 -> 35 [size =\"47607808\"]\n  22 -> 37 [size =\"47607808\"]\n  22 -> 38 [size =\"47607808\"]\n  22 -> 38 [size =\"47607808\"]\n  22 -> 40 [size =\"47607808\"]\n  22 -> 41 [size =\"47607808\"]\n  22 -> 42 [size =\"47607808\"]\n  23 [size=\"63393792\", alpha=\"0.10\", expect_size=\"31696896\"] \n  23 -> 29 [size =\"31696896\"]\n  23 -> 35 [size =\"31696896\"]\n  23 -> 37 [size =\"31696896\"]\n  23 -> 39 [size =\"31696896\"]\n  23 -> 40 [size =\"31696896\"]\n  23 -> 40 [size =\"31696896\"]\n  23 -> 41 [size =\"31696896\"]\n  23 -> 42 [size =\"31696896\"]\n  23 -> 44 [size =\"31696896\"]\n  24 [size=\"71993344\", alpha=\"0.12\", expect_size=\"35996672\"] \n  25 [size=\"79898624\", alpha=\"0.19\", expect_size=\"39949312\"] \n  26 [size=\"12253184\", alpha=\"0.14\", expect_size=\"6126592\"] \n  27 [size=\"59279360\", alpha=\"0.11\", expect_size=\"29639680\"] \n  28 [size=\"101083136\", alpha=\"0.04\", expect_size=\"50541568\"] \n  29 [size=\"38488064\", alpha=\"0.00\", expect_size=\"19244032\"] \n  30 [size=\"13840384\", alpha=\"0.17\", expect_size=\"6920192\"] \n  31 [size=\"39329792\", alpha=\"0.05\", expect_size=\"19664896\"] \n  32 [size=\"13363200\", alpha=\"0.06\", expect_size=\"6681600\"] \n  33 [size=\"13672448\", alpha=\"0.10\", expect_size=\"6836224\"] \n  34 [size=\"58853376\", alpha=\"0.14\", expect_size=\"29426688\"] \n  35 [size=\"20654080\", alpha=\"0.09\", expect_size=\"10327040\"] \n  36 [size=\"14495744\", alpha=\"0.17\", expect_size=\"7247872\"] \n  37 [size=\"79228928\", alpha=\"0.00\", expect_size=\"39614464\"] \n  38 [size=\"38905856\", alpha=\"0.10\", expect_size=\"19452928\"] \n  39 [size=\"57499648\", alpha=\"0.06\", expect_size=\"28749824\"] \n  40 [size=\"57538560\", alpha=\"0.20\", expect_size=\"28769280\"] \n  41 [size=\"44457984\", alpha=\"0.09\", expect_size=\"22228992\"] \n  42 [size=\"70086656\", alpha=\"0.16\", expect_size=\"35043328\"] \n  43 [size=\"99092480\", alpha=\"0.15\", expect_size=\"49546240\"] \n  44 [size=\"51851264\", alpha=\"0.06\", expect_size=\"25925632\"] \n  45 [size=\"25270272\", alpha=\"0.13\", expect_size=\"12635136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80346453\", alpha=\"0.01\", expect_size=\"24103936\"] \n  1 -> 4 [size =\"24103936\"]\n  1 -> 5 [size =\"24103936\"]\n  2 [size=\"27156480\", alpha=\"0.17\", expect_size=\"8146944\"] \n  2 -> 3 [size =\"8146944\"]\n  2 -> 4 [size =\"8146944\"]\n  2 -> 5 [size =\"8146944\"]\n  3 [size=\"69768533\", alpha=\"0.06\", expect_size=\"20930560\"] \n  3 -> 7 [size =\"20930560\"]\n  4 [size=\"65723733\", alpha=\"0.05\", expect_size=\"19717120\"] \n  4 -> 7 [size =\"19717120\"]\n  4 -> 8 [size =\"19717120\"]\n  5 [size=\"141738667\", alpha=\"0.16\", expect_size=\"42521600\"] \n  5 -> 6 [size =\"42521600\"]\n  5 -> 7 [size =\"42521600\"]\n  6 [size=\"119592960\", alpha=\"0.01\", expect_size=\"35877888\"] \n  6 -> 9 [size =\"35877888\"]\n  6 -> 11 [size =\"35877888\"]\n  7 [size=\"83534507\", alpha=\"0.07\", expect_size=\"25060352\"] \n  7 -> 9 [size =\"25060352\"]\n  7 -> 10 [size =\"25060352\"]\n  7 -> 11 [size =\"25060352\"]\n  8 [size=\"98669227\", alpha=\"0.06\", expect_size=\"29600768\"] \n  8 -> 10 [size =\"29600768\"]\n  8 -> 10 [size =\"29600768\"]\n  8 -> 11 [size =\"29600768\"]\n  9 [size=\"144834560\", alpha=\"0.11\", expect_size=\"43450368\"] \n  9 -> 12 [size =\"43450368\"]\n  9 -> 13 [size =\"43450368\"]\n  10 [size=\"163181227\", alpha=\"0.19\", expect_size=\"48954368\"] \n  10 -> 12 [size =\"48954368\"]\n  10 -> 13 [size =\"48954368\"]\n  11 [size=\"100136960\", alpha=\"0.15\", expect_size=\"30041088\"] \n  11 -> 12 [size =\"30041088\"]\n  11 -> 13 [size =\"30041088\"]\n  12 [size=\"108059307\", alpha=\"0.04\", expect_size=\"32417792\"] \n  12 -> 14 [size =\"32417792\"]\n  12 -> 15 [size =\"32417792\"]\n  13 [size=\"84418560\", alpha=\"0.06\", expect_size=\"25325568\"] \n  13 -> 14 [size =\"25325568\"]\n  13 -> 15 [size =\"25325568\"]\n  14 [size=\"129914880\", alpha=\"0.20\", expect_size=\"38974464\"] \n  14 -> 16 [size =\"38974464\"]\n  14 -> 17 [size =\"38974464\"]\n  14 -> 18 [size =\"38974464\"]\n  15 [size=\"170615467\", alpha=\"0.10\", expect_size=\"51184640\"] \n  15 -> 16 [size =\"51184640\"]\n  15 -> 17 [size =\"51184640\"]\n  16 [size=\"137048747\", alpha=\"0.09\", expect_size=\"41114624\"] \n  16 -> 19 [size =\"41114624\"]\n  16 -> 21 [size =\"41114624\"]\n  17 [size=\"145039360\", alpha=\"0.20\", expect_size=\"43511808\"] \n  17 -> 20 [size =\"43511808\"]\n  17 -> 21 [size =\"43511808\"]\n  18 [size=\"43994453\", alpha=\"0.19\", expect_size=\"13198336\"] \n  18 -> 19 [size =\"13198336\"]\n  18 -> 20 [size =\"13198336\"]\n  19 [size=\"94453760\", alpha=\"0.10\", expect_size=\"28336128\"] \n  19 -> 22 [size =\"28336128\"]\n  19 -> 23 [size =\"28336128\"]\n  20 [size=\"19790507\", alpha=\"0.01\", expect_size=\"5937152\"] \n  20 -> 23 [size =\"5937152\"]\n  21 [size=\"171328853\", alpha=\"0.20\", expect_size=\"51398656\"] \n  21 -> 22 [size =\"51398656\"]\n  21 -> 23 [size =\"51398656\"]\n  22 [size=\"130631680\", alpha=\"0.20\", expect_size=\"39189504\"] \n  22 -> 24 [size =\"39189504\"]\n  22 -> 25 [size =\"39189504\"]\n  23 [size=\"164945920\", alpha=\"0.06\", expect_size=\"49483776\"] \n  23 -> 24 [size =\"49483776\"]\n  23 -> 25 [size =\"49483776\"]\n  24 [size=\"56934400\", alpha=\"0.19\", expect_size=\"17080320\"] \n  24 -> 26 [size =\"17080320\"]\n  24 -> 27 [size =\"17080320\"]\n  25 [size=\"56074240\", alpha=\"0.08\", expect_size=\"16822272\"] \n  25 -> 26 [size =\"16822272\"]\n  25 -> 27 [size =\"16822272\"]\n  26 [size=\"133570560\", alpha=\"0.09\", expect_size=\"40071168\"] \n  26 -> 28 [size =\"40071168\"]\n  26 -> 29 [size =\"40071168\"]\n  26 -> 30 [size =\"40071168\"]\n  27 [size=\"44615680\", alpha=\"0.19\", expect_size=\"13384704\"] \n  27 -> 29 [size =\"13384704\"]\n  27 -> 30 [size =\"13384704\"]\n  28 [size=\"43950080\", alpha=\"0.19\", expect_size=\"13185024\"] \n  28 -> 31 [size =\"13185024\"]\n  29 [size=\"35351893\", alpha=\"0.16\", expect_size=\"10605568\"] \n  29 -> 31 [size =\"10605568\"]\n  29 -> 32 [size =\"10605568\"]\n  30 [size=\"113984853\", alpha=\"0.11\", expect_size=\"34195456\"] \n  30 -> 31 [size =\"34195456\"]\n  31 [size=\"120070827\", alpha=\"0.16\", expect_size=\"36021248\"] \n  31 -> 33 [size =\"36021248\"]\n  31 -> 34 [size =\"36021248\"]\n  31 -> 35 [size =\"36021248\"]\n  32 [size=\"116480000\", alpha=\"0.13\", expect_size=\"34944000\"] \n  32 -> 33 [size =\"34944000\"]\n  32 -> 34 [size =\"34944000\"]\n  32 -> 35 [size =\"34944000\"]\n  33 [size=\"112899413\", alpha=\"0.19\", expect_size=\"33869824\"] \n  34 [size=\"161617920\", alpha=\"0.19\", expect_size=\"48485376\"] \n  35 [size=\"153600000\", alpha=\"0.18\", expect_size=\"46080000\"] \n  35 -> 36 [size =\"46080000\"]\n  35 -> 37 [size =\"46080000\"]\n  36 [size=\"55825067\", alpha=\"0.13\", expect_size=\"16747520\"] \n  37 [size=\"127696213\", alpha=\"0.04\", expect_size=\"38308864\"] \n  37 -> 38 [size =\"38308864\"]\n  37 -> 39 [size =\"38308864\"]\n  38 [size=\"120702293\", alpha=\"0.18\", expect_size=\"36210688\"] \n  38 -> 40 [size =\"36210688\"]\n  38 -> 41 [size =\"36210688\"]\n  38 -> 42 [size =\"36210688\"]\n  39 [size=\"116036267\", alpha=\"0.02\", expect_size=\"34810880\"] \n  39 -> 40 [size =\"34810880\"]\n  39 -> 41 [size =\"34810880\"]\n  39 -> 42 [size =\"34810880\"]\n  40 [size=\"83773440\", alpha=\"0.06\", expect_size=\"25132032\"] \n  40 -> 43 [size =\"25132032\"]\n  41 [size=\"169618773\", alpha=\"0.10\", expect_size=\"50885632\"] \n  41 -> 43 [size =\"50885632\"]\n  41 -> 44 [size =\"50885632\"]\n  42 [size=\"141663573\", alpha=\"0.08\", expect_size=\"42499072\"] \n  42 -> 43 [size =\"42499072\"]\n  42 -> 44 [size =\"42499072\"]\n  43 [size=\"90494293\", alpha=\"0.05\", expect_size=\"27148288\"] \n  43 -> 45 [size =\"27148288\"]\n  44 [size=\"83056640\", alpha=\"0.07\", expect_size=\"24916992\"] \n  44 -> 45 [size =\"24916992\"]\n  45 [size=\"74499413\", alpha=\"0.13\", expect_size=\"22349824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23705600\", alpha=\"0.06\", expect_size=\"11852800\"] \n  1 -> 37 [size =\"11852800\"]\n  1 -> 38 [size =\"11852800\"]\n  1 -> 39 [size =\"11852800\"]\n  1 -> 42 [size =\"11852800\"]\n  2 [size=\"30689280\", alpha=\"0.04\", expect_size=\"15344640\"] \n  2 -> 37 [size =\"15344640\"]\n  2 -> 38 [size =\"15344640\"]\n  2 -> 39 [size =\"15344640\"]\n  2 -> 41 [size =\"15344640\"]\n  2 -> 42 [size =\"15344640\"]\n  2 -> 45 [size =\"15344640\"]\n  3 [size=\"50833408\", alpha=\"0.08\", expect_size=\"25416704\"] \n  3 -> 38 [size =\"25416704\"]\n  3 -> 41 [size =\"25416704\"]\n  3 -> 42 [size =\"25416704\"]\n  3 -> 45 [size =\"25416704\"]\n  4 [size=\"38662144\", alpha=\"0.14\", expect_size=\"19331072\"] \n  4 -> 40 [size =\"19331072\"]\n  4 -> 42 [size =\"19331072\"]\n  4 -> 43 [size =\"19331072\"]\n  4 -> 45 [size =\"19331072\"]\n  5 [size=\"76675072\", alpha=\"0.17\", expect_size=\"38337536\"] \n  5 -> 37 [size =\"38337536\"]\n  5 -> 38 [size =\"38337536\"]\n  5 -> 43 [size =\"38337536\"]\n  5 -> 44 [size =\"38337536\"]\n  6 [size=\"56051712\", alpha=\"0.15\", expect_size=\"28025856\"] \n  6 -> 39 [size =\"28025856\"]\n  6 -> 42 [size =\"28025856\"]\n  6 -> 43 [size =\"28025856\"]\n  6 -> 45 [size =\"28025856\"]\n  7 [size=\"99342336\", alpha=\"0.20\", expect_size=\"49671168\"] \n  7 -> 38 [size =\"49671168\"]\n  7 -> 42 [size =\"49671168\"]\n  7 -> 43 [size =\"49671168\"]\n  8 [size=\"33284096\", alpha=\"0.06\", expect_size=\"16642048\"] \n  8 -> 37 [size =\"16642048\"]\n  8 -> 38 [size =\"16642048\"]\n  8 -> 41 [size =\"16642048\"]\n  8 -> 43 [size =\"16642048\"]\n  8 -> 45 [size =\"16642048\"]\n  9 [size=\"61548544\", alpha=\"0.10\", expect_size=\"30774272\"] \n  9 -> 37 [size =\"30774272\"]\n  9 -> 40 [size =\"30774272\"]\n  9 -> 42 [size =\"30774272\"]\n  9 -> 43 [size =\"30774272\"]\n  9 -> 44 [size =\"30774272\"]\n  9 -> 45 [size =\"30774272\"]\n  10 [size=\"89763840\", alpha=\"0.04\", expect_size=\"44881920\"] \n  10 -> 37 [size =\"44881920\"]\n  10 -> 38 [size =\"44881920\"]\n  10 -> 41 [size =\"44881920\"]\n  10 -> 45 [size =\"44881920\"]\n  11 [size=\"56600576\", alpha=\"0.15\", expect_size=\"28300288\"] \n  11 -> 37 [size =\"28300288\"]\n  11 -> 38 [size =\"28300288\"]\n  11 -> 43 [size =\"28300288\"]\n  12 [size=\"86628352\", alpha=\"0.15\", expect_size=\"43314176\"] \n  12 -> 41 [size =\"43314176\"]\n  12 -> 43 [size =\"43314176\"]\n  12 -> 45 [size =\"43314176\"]\n  13 [size=\"12767232\", alpha=\"0.00\", expect_size=\"6383616\"] \n  13 -> 40 [size =\"6383616\"]\n  13 -> 42 [size =\"6383616\"]\n  13 -> 43 [size =\"6383616\"]\n  14 [size=\"52062208\", alpha=\"0.12\", expect_size=\"26031104\"] \n  14 -> 40 [size =\"26031104\"]\n  14 -> 45 [size =\"26031104\"]\n  15 [size=\"25587712\", alpha=\"0.03\", expect_size=\"12793856\"] \n  15 -> 41 [size =\"12793856\"]\n  15 -> 42 [size =\"12793856\"]\n  15 -> 45 [size =\"12793856\"]\n  16 [size=\"12412928\", alpha=\"0.13\", expect_size=\"6206464\"] \n  16 -> 38 [size =\"6206464\"]\n  16 -> 42 [size =\"6206464\"]\n  16 -> 43 [size =\"6206464\"]\n  16 -> 44 [size =\"6206464\"]\n  16 -> 45 [size =\"6206464\"]\n  17 [size=\"82153472\", alpha=\"0.07\", expect_size=\"41076736\"] \n  17 -> 37 [size =\"41076736\"]\n  17 -> 38 [size =\"41076736\"]\n  17 -> 40 [size =\"41076736\"]\n  17 -> 41 [size =\"41076736\"]\n  17 -> 45 [size =\"41076736\"]\n  18 [size=\"80818176\", alpha=\"0.14\", expect_size=\"40409088\"] \n  18 -> 39 [size =\"40409088\"]\n  18 -> 40 [size =\"40409088\"]\n  18 -> 40 [size =\"40409088\"]\n  18 -> 43 [size =\"40409088\"]\n  19 [size=\"16029696\", alpha=\"0.18\", expect_size=\"8014848\"] \n  19 -> 38 [size =\"8014848\"]\n  19 -> 39 [size =\"8014848\"]\n  19 -> 40 [size =\"8014848\"]\n  19 -> 42 [size =\"8014848\"]\n  20 [size=\"64983040\", alpha=\"0.08\", expect_size=\"32491520\"] \n  20 -> 37 [size =\"32491520\"]\n  20 -> 38 [size =\"32491520\"]\n  20 -> 40 [size =\"32491520\"]\n  20 -> 42 [size =\"32491520\"]\n  21 [size=\"86140928\", alpha=\"0.02\", expect_size=\"43070464\"] \n  21 -> 37 [size =\"43070464\"]\n  21 -> 38 [size =\"43070464\"]\n  21 -> 39 [size =\"43070464\"]\n  21 -> 45 [size =\"43070464\"]\n  22 [size=\"60676096\", alpha=\"0.19\", expect_size=\"30338048\"] \n  22 -> 37 [size =\"30338048\"]\n  22 -> 39 [size =\"30338048\"]\n  22 -> 41 [size =\"30338048\"]\n  22 -> 43 [size =\"30338048\"]\n  22 -> 45 [size =\"30338048\"]\n  23 [size=\"35276800\", alpha=\"0.05\", expect_size=\"17638400\"] \n  23 -> 45 [size =\"17638400\"]\n  24 [size=\"35850240\", alpha=\"0.18\", expect_size=\"17925120\"] \n  24 -> 42 [size =\"17925120\"]\n  25 [size=\"93777920\", alpha=\"0.04\", expect_size=\"46888960\"] \n  25 -> 38 [size =\"46888960\"]\n  25 -> 41 [size =\"46888960\"]\n  25 -> 42 [size =\"46888960\"]\n  26 [size=\"14866432\", alpha=\"0.20\", expect_size=\"7433216\"] \n  26 -> 41 [size =\"7433216\"]\n  26 -> 45 [size =\"7433216\"]\n  27 [size=\"77764608\", alpha=\"0.14\", expect_size=\"38882304\"] \n  27 -> 41 [size =\"38882304\"]\n  28 [size=\"16041984\", alpha=\"0.14\", expect_size=\"8020992\"] \n  28 -> 38 [size =\"8020992\"]\n  28 -> 40 [size =\"8020992\"]\n  28 -> 41 [size =\"8020992\"]\n  28 -> 43 [size =\"8020992\"]\n  28 -> 44 [size =\"8020992\"]\n  29 [size=\"80183296\", alpha=\"0.04\", expect_size=\"40091648\"] \n  29 -> 37 [size =\"40091648\"]\n  29 -> 41 [size =\"40091648\"]\n  29 -> 44 [size =\"40091648\"]\n  30 [size=\"69785600\", alpha=\"0.11\", expect_size=\"34892800\"] \n  30 -> 44 [size =\"34892800\"]\n  31 [size=\"14708736\", alpha=\"0.08\", expect_size=\"7354368\"] \n  31 -> 37 [size =\"7354368\"]\n  31 -> 38 [size =\"7354368\"]\n  31 -> 44 [size =\"7354368\"]\n  32 [size=\"22546432\", alpha=\"0.01\", expect_size=\"11273216\"] \n  32 -> 38 [size =\"11273216\"]\n  32 -> 39 [size =\"11273216\"]\n  32 -> 41 [size =\"11273216\"]\n  33 [size=\"19132416\", alpha=\"0.15\", expect_size=\"9566208\"] \n  33 -> 41 [size =\"9566208\"]\n  33 -> 43 [size =\"9566208\"]\n  33 -> 44 [size =\"9566208\"]\n  34 [size=\"44816384\", alpha=\"0.17\", expect_size=\"22408192\"] \n  34 -> 37 [size =\"22408192\"]\n  34 -> 38 [size =\"22408192\"]\n  34 -> 39 [size =\"22408192\"]\n  34 -> 45 [size =\"22408192\"]\n  35 [size=\"33404928\", alpha=\"0.02\", expect_size=\"16702464\"] \n  35 -> 38 [size =\"16702464\"]\n  35 -> 39 [size =\"16702464\"]\n  35 -> 39 [size =\"16702464\"]\n  35 -> 40 [size =\"16702464\"]\n  35 -> 41 [size =\"16702464\"]\n  35 -> 43 [size =\"16702464\"]\n  35 -> 44 [size =\"16702464\"]\n  35 -> 45 [size =\"16702464\"]\n  36 [size=\"51085312\", alpha=\"0.08\", expect_size=\"25542656\"] \n  36 -> 37 [size =\"25542656\"]\n  36 -> 38 [size =\"25542656\"]\n  36 -> 39 [size =\"25542656\"]\n  36 -> 42 [size =\"25542656\"]\n  36 -> 45 [size =\"25542656\"]\n  37 [size=\"49055744\", alpha=\"0.09\", expect_size=\"24527872\"] \n  38 [size=\"21798912\", alpha=\"0.05\", expect_size=\"10899456\"] \n  39 [size=\"86487040\", alpha=\"0.03\", expect_size=\"43243520\"] \n  40 [size=\"11071488\", alpha=\"0.11\", expect_size=\"5535744\"] \n  41 [size=\"63571968\", alpha=\"0.16\", expect_size=\"31785984\"] \n  42 [size=\"101361664\", alpha=\"0.12\", expect_size=\"50680832\"] \n  43 [size=\"11841536\", alpha=\"0.12\", expect_size=\"5920768\"] \n  44 [size=\"80408576\", alpha=\"0.18\", expect_size=\"40204288\"] \n  45 [size=\"65521664\", alpha=\"0.02\", expect_size=\"32760832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99386027\", alpha=\"0.09\", expect_size=\"29815808\"] \n  1 -> 2 [size =\"29815808\"]\n  2 [size=\"23285760\", alpha=\"0.10\", expect_size=\"6985728\"] \n  2 -> 3 [size =\"6985728\"]\n  3 [size=\"37778773\", alpha=\"0.18\", expect_size=\"11333632\"] \n  3 -> 4 [size =\"11333632\"]\n  4 [size=\"114988373\", alpha=\"0.13\", expect_size=\"34496512\"] \n  4 -> 5 [size =\"34496512\"]\n  5 [size=\"110117547\", alpha=\"0.08\", expect_size=\"33035264\"] \n  5 -> 6 [size =\"33035264\"]\n  6 [size=\"27955200\", alpha=\"0.00\", expect_size=\"8386560\"] \n  6 -> 7 [size =\"8386560\"]\n  7 [size=\"99365547\", alpha=\"0.06\", expect_size=\"29809664\"] \n  7 -> 8 [size =\"29809664\"]\n  8 [size=\"121695573\", alpha=\"0.05\", expect_size=\"36508672\"] \n  8 -> 9 [size =\"36508672\"]\n  9 [size=\"114025813\", alpha=\"0.04\", expect_size=\"34207744\"] \n  9 -> 10 [size =\"34207744\"]\n  10 [size=\"17848320\", alpha=\"0.11\", expect_size=\"5354496\"] \n  10 -> 11 [size =\"5354496\"]\n  11 [size=\"130071893\", alpha=\"0.18\", expect_size=\"39021568\"] \n  11 -> 12 [size =\"39021568\"]\n  12 [size=\"41857707\", alpha=\"0.12\", expect_size=\"12557312\"] \n  12 -> 13 [size =\"12557312\"]\n  13 [size=\"121101653\", alpha=\"0.02\", expect_size=\"36330496\"] \n  13 -> 14 [size =\"36330496\"]\n  14 [size=\"104929280\", alpha=\"0.07\", expect_size=\"31478784\"] \n  14 -> 15 [size =\"31478784\"]\n  15 [size=\"53186560\", alpha=\"0.15\", expect_size=\"15955968\"] \n  15 -> 16 [size =\"15955968\"]\n  16 [size=\"112373760\", alpha=\"0.08\", expect_size=\"33712128\"] \n  16 -> 17 [size =\"33712128\"]\n  17 [size=\"112906240\", alpha=\"0.11\", expect_size=\"33871872\"] \n  17 -> 18 [size =\"33871872\"]\n  18 [size=\"156347733\", alpha=\"0.08\", expect_size=\"46904320\"] \n  18 -> 19 [size =\"46904320\"]\n  19 [size=\"41717760\", alpha=\"0.09\", expect_size=\"12515328\"] \n  19 -> 20 [size =\"12515328\"]\n  20 [size=\"74782720\", alpha=\"0.16\", expect_size=\"22434816\"] \n  20 -> 21 [size =\"22434816\"]\n  21 [size=\"162717013\", alpha=\"0.14\", expect_size=\"48815104\"] \n  21 -> 22 [size =\"48815104\"]\n  22 [size=\"143332693\", alpha=\"0.12\", expect_size=\"42999808\"] \n  22 -> 23 [size =\"42999808\"]\n  23 [size=\"77806933\", alpha=\"0.13\", expect_size=\"23342080\"] \n  23 -> 24 [size =\"23342080\"]\n  24 [size=\"90112000\", alpha=\"0.07\", expect_size=\"27033600\"] \n  24 -> 25 [size =\"27033600\"]\n  25 [size=\"147824640\", alpha=\"0.12\", expect_size=\"44347392\"] \n  25 -> 26 [size =\"44347392\"]\n  26 [size=\"109820587\", alpha=\"0.19\", expect_size=\"32946176\"] \n  26 -> 27 [size =\"32946176\"]\n  27 [size=\"174513493\", alpha=\"0.16\", expect_size=\"52354048\"] \n  27 -> 28 [size =\"52354048\"]\n  28 [size=\"107267413\", alpha=\"0.06\", expect_size=\"32180224\"] \n  28 -> 29 [size =\"32180224\"]\n  29 [size=\"170096640\", alpha=\"0.08\", expect_size=\"51028992\"] \n  29 -> 30 [size =\"51028992\"]\n  30 [size=\"80960853\", alpha=\"0.11\", expect_size=\"24288256\"] \n  30 -> 31 [size =\"24288256\"]\n  31 [size=\"49408000\", alpha=\"0.08\", expect_size=\"14822400\"] \n  31 -> 32 [size =\"14822400\"]\n  32 [size=\"157351253\", alpha=\"0.08\", expect_size=\"47205376\"] \n  32 -> 33 [size =\"47205376\"]\n  33 [size=\"96030720\", alpha=\"0.01\", expect_size=\"28809216\"] \n  33 -> 34 [size =\"28809216\"]\n  34 [size=\"43031893\", alpha=\"0.05\", expect_size=\"12909568\"] \n  34 -> 35 [size =\"12909568\"]\n  35 [size=\"95870293\", alpha=\"0.14\", expect_size=\"28761088\"] \n  35 -> 36 [size =\"28761088\"]\n  36 [size=\"32617813\", alpha=\"0.15\", expect_size=\"9785344\"] \n  36 -> 37 [size =\"9785344\"]\n  37 [size=\"21039787\", alpha=\"0.08\", expect_size=\"6311936\"] \n  37 -> 38 [size =\"6311936\"]\n  38 [size=\"143025493\", alpha=\"0.19\", expect_size=\"42907648\"] \n  38 -> 39 [size =\"42907648\"]\n  39 [size=\"30938453\", alpha=\"0.12\", expect_size=\"9281536\"] \n  39 -> 40 [size =\"9281536\"]\n  40 [size=\"95907840\", alpha=\"0.13\", expect_size=\"28772352\"] \n  40 -> 41 [size =\"28772352\"]\n  41 [size=\"23726080\", alpha=\"0.13\", expect_size=\"7117824\"] \n  41 -> 42 [size =\"7117824\"]\n  42 [size=\"84282027\", alpha=\"0.08\", expect_size=\"25284608\"] \n  42 -> 43 [size =\"25284608\"]\n  43 [size=\"144674133\", alpha=\"0.12\", expect_size=\"43402240\"] \n  43 -> 44 [size =\"43402240\"]\n  44 [size=\"151237973\", alpha=\"0.04\", expect_size=\"45371392\"] \n  44 -> 45 [size =\"45371392\"]\n  45 [size=\"34146987\", alpha=\"0.13\", expect_size=\"10244096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92499968\", alpha=\"0.17\", expect_size=\"46249984\"] \n  1 -> 3 [size =\"46249984\"]\n  1 -> 4 [size =\"46249984\"]\n  2 [size=\"83703808\", alpha=\"0.14\", expect_size=\"41851904\"] \n  2 -> 3 [size =\"41851904\"]\n  2 -> 4 [size =\"41851904\"]\n  3 [size=\"76978176\", alpha=\"0.09\", expect_size=\"38489088\"] \n  3 -> 5 [size =\"38489088\"]\n  3 -> 6 [size =\"38489088\"]\n  4 [size=\"44154880\", alpha=\"0.09\", expect_size=\"22077440\"] \n  4 -> 5 [size =\"22077440\"]\n  5 [size=\"56580096\", alpha=\"0.16\", expect_size=\"28290048\"] \n  5 -> 7 [size =\"28290048\"]\n  5 -> 9 [size =\"28290048\"]\n  6 [size=\"35592192\", alpha=\"0.18\", expect_size=\"17796096\"] \n  6 -> 7 [size =\"17796096\"]\n  6 -> 8 [size =\"17796096\"]\n  6 -> 9 [size =\"17796096\"]\n  7 [size=\"29386752\", alpha=\"0.01\", expect_size=\"14693376\"] \n  7 -> 10 [size =\"14693376\"]\n  7 -> 11 [size =\"14693376\"]\n  7 -> 12 [size =\"14693376\"]\n  8 [size=\"38946816\", alpha=\"0.09\", expect_size=\"19473408\"] \n  8 -> 10 [size =\"19473408\"]\n  9 [size=\"104822784\", alpha=\"0.02\", expect_size=\"52411392\"] \n  10 [size=\"92631040\", alpha=\"0.13\", expect_size=\"46315520\"] \n  10 -> 13 [size =\"46315520\"]\n  10 -> 14 [size =\"46315520\"]\n  11 [size=\"22310912\", alpha=\"0.07\", expect_size=\"11155456\"] \n  11 -> 13 [size =\"11155456\"]\n  11 -> 14 [size =\"11155456\"]\n  12 [size=\"104615936\", alpha=\"0.01\", expect_size=\"52307968\"] \n  12 -> 13 [size =\"52307968\"]\n  13 [size=\"78546944\", alpha=\"0.19\", expect_size=\"39273472\"] \n  13 -> 16 [size =\"39273472\"]\n  14 [size=\"27492352\", alpha=\"0.20\", expect_size=\"13746176\"] \n  14 -> 15 [size =\"13746176\"]\n  14 -> 16 [size =\"13746176\"]\n  14 -> 17 [size =\"13746176\"]\n  15 [size=\"70148096\", alpha=\"0.07\", expect_size=\"35074048\"] \n  16 [size=\"50913280\", alpha=\"0.06\", expect_size=\"25456640\"] \n  16 -> 18 [size =\"25456640\"]\n  17 [size=\"40161280\", alpha=\"0.12\", expect_size=\"20080640\"] \n  17 -> 19 [size =\"20080640\"]\n  18 [size=\"42706944\", alpha=\"0.07\", expect_size=\"21353472\"] \n  18 -> 20 [size =\"21353472\"]\n  18 -> 21 [size =\"21353472\"]\n  19 [size=\"86423552\", alpha=\"0.10\", expect_size=\"43211776\"] \n  19 -> 21 [size =\"43211776\"]\n  20 [size=\"97705984\", alpha=\"0.15\", expect_size=\"48852992\"] \n  20 -> 22 [size =\"48852992\"]\n  20 -> 23 [size =\"48852992\"]\n  21 [size=\"64313344\", alpha=\"0.17\", expect_size=\"32156672\"] \n  21 -> 23 [size =\"32156672\"]\n  22 [size=\"98445312\", alpha=\"0.14\", expect_size=\"49222656\"] \n  22 -> 24 [size =\"49222656\"]\n  22 -> 25 [size =\"49222656\"]\n  23 [size=\"10637312\", alpha=\"0.06\", expect_size=\"5318656\"] \n  23 -> 24 [size =\"5318656\"]\n  23 -> 25 [size =\"5318656\"]\n  24 [size=\"98240512\", alpha=\"0.05\", expect_size=\"49120256\"] \n  24 -> 26 [size =\"49120256\"]\n  24 -> 27 [size =\"49120256\"]\n  25 [size=\"98080768\", alpha=\"0.14\", expect_size=\"49040384\"] \n  25 -> 26 [size =\"49040384\"]\n  25 -> 27 [size =\"49040384\"]\n  26 [size=\"38090752\", alpha=\"0.08\", expect_size=\"19045376\"] \n  26 -> 28 [size =\"19045376\"]\n  26 -> 29 [size =\"19045376\"]\n  26 -> 30 [size =\"19045376\"]\n  27 [size=\"64378880\", alpha=\"0.06\", expect_size=\"32189440\"] \n  27 -> 28 [size =\"32189440\"]\n  27 -> 29 [size =\"32189440\"]\n  28 [size=\"25006080\", alpha=\"0.10\", expect_size=\"12503040\"] \n  28 -> 31 [size =\"12503040\"]\n  28 -> 32 [size =\"12503040\"]\n  29 [size=\"56342528\", alpha=\"0.14\", expect_size=\"28171264\"] \n  29 -> 31 [size =\"28171264\"]\n  29 -> 32 [size =\"28171264\"]\n  30 [size=\"103196672\", alpha=\"0.15\", expect_size=\"51598336\"] \n  30 -> 31 [size =\"51598336\"]\n  31 [size=\"78067712\", alpha=\"0.19\", expect_size=\"39033856\"] \n  31 -> 35 [size =\"39033856\"]\n  32 [size=\"62965760\", alpha=\"0.03\", expect_size=\"31482880\"] \n  32 -> 33 [size =\"31482880\"]\n  32 -> 34 [size =\"31482880\"]\n  32 -> 35 [size =\"31482880\"]\n  33 [size=\"36743168\", alpha=\"0.01\", expect_size=\"18371584\"] \n  33 -> 36 [size =\"18371584\"]\n  33 -> 37 [size =\"18371584\"]\n  34 [size=\"65888256\", alpha=\"0.03\", expect_size=\"32944128\"] \n  34 -> 36 [size =\"32944128\"]\n  34 -> 37 [size =\"32944128\"]\n  35 [size=\"89702400\", alpha=\"0.17\", expect_size=\"44851200\"] \n  35 -> 36 [size =\"44851200\"]\n  35 -> 38 [size =\"44851200\"]\n  36 [size=\"59904000\", alpha=\"0.01\", expect_size=\"29952000\"] \n  36 -> 39 [size =\"29952000\"]\n  37 [size=\"95977472\", alpha=\"0.10\", expect_size=\"47988736\"] \n  37 -> 39 [size =\"47988736\"]\n  37 -> 40 [size =\"47988736\"]\n  38 [size=\"28076032\", alpha=\"0.06\", expect_size=\"14038016\"] \n  38 -> 39 [size =\"14038016\"]\n  39 [size=\"73408512\", alpha=\"0.18\", expect_size=\"36704256\"] \n  39 -> 41 [size =\"36704256\"]\n  39 -> 42 [size =\"36704256\"]\n  39 -> 43 [size =\"36704256\"]\n  40 [size=\"43194368\", alpha=\"0.09\", expect_size=\"21597184\"] \n  40 -> 41 [size =\"21597184\"]\n  40 -> 42 [size =\"21597184\"]\n  41 [size=\"19582976\", alpha=\"0.11\", expect_size=\"9791488\"] \n  41 -> 44 [size =\"9791488\"]\n  41 -> 45 [size =\"9791488\"]\n  42 [size=\"14395392\", alpha=\"0.12\", expect_size=\"7197696\"] \n  42 -> 44 [size =\"7197696\"]\n  42 -> 45 [size =\"7197696\"]\n  43 [size=\"27394048\", alpha=\"0.13\", expect_size=\"13697024\"] \n  43 -> 44 [size =\"13697024\"]\n  43 -> 45 [size =\"13697024\"]\n  44 [size=\"32266240\", alpha=\"0.13\", expect_size=\"16133120\"] \n  45 [size=\"46024704\", alpha=\"0.11\", expect_size=\"23012352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100390912\", alpha=\"0.18\", expect_size=\"50195456\"] \n  1 -> 41 [size =\"50195456\"]\n  1 -> 44 [size =\"50195456\"]\n  1 -> 45 [size =\"50195456\"]\n  2 [size=\"13791232\", alpha=\"0.20\", expect_size=\"6895616\"] \n  2 -> 41 [size =\"6895616\"]\n  2 -> 44 [size =\"6895616\"]\n  3 [size=\"81799168\", alpha=\"0.19\", expect_size=\"40899584\"] \n  3 -> 37 [size =\"40899584\"]\n  3 -> 38 [size =\"40899584\"]\n  3 -> 41 [size =\"40899584\"]\n  3 -> 45 [size =\"40899584\"]\n  4 [size=\"82595840\", alpha=\"0.00\", expect_size=\"41297920\"] \n  4 -> 40 [size =\"41297920\"]\n  4 -> 45 [size =\"41297920\"]\n  5 [size=\"24061952\", alpha=\"0.19\", expect_size=\"12030976\"] \n  5 -> 40 [size =\"12030976\"]\n  5 -> 41 [size =\"12030976\"]\n  5 -> 43 [size =\"12030976\"]\n  5 -> 44 [size =\"12030976\"]\n  6 [size=\"16119808\", alpha=\"0.14\", expect_size=\"8059904\"] \n  6 -> 38 [size =\"8059904\"]\n  6 -> 40 [size =\"8059904\"]\n  6 -> 43 [size =\"8059904\"]\n  6 -> 44 [size =\"8059904\"]\n  7 [size=\"92121088\", alpha=\"0.04\", expect_size=\"46060544\"] \n  7 -> 37 [size =\"46060544\"]\n  7 -> 40 [size =\"46060544\"]\n  8 [size=\"53442560\", alpha=\"0.13\", expect_size=\"26721280\"] \n  8 -> 38 [size =\"26721280\"]\n  8 -> 40 [size =\"26721280\"]\n  8 -> 44 [size =\"26721280\"]\n  9 [size=\"84434944\", alpha=\"0.11\", expect_size=\"42217472\"] \n  9 -> 40 [size =\"42217472\"]\n  9 -> 44 [size =\"42217472\"]\n  10 [size=\"29675520\", alpha=\"0.08\", expect_size=\"14837760\"] \n  10 -> 44 [size =\"14837760\"]\n  11 [size=\"88428544\", alpha=\"0.17\", expect_size=\"44214272\"] \n  11 -> 42 [size =\"44214272\"]\n  11 -> 45 [size =\"44214272\"]\n  12 [size=\"80588800\", alpha=\"0.10\", expect_size=\"40294400\"] \n  13 [size=\"78788608\", alpha=\"0.05\", expect_size=\"39394304\"] \n  13 -> 39 [size =\"39394304\"]\n  13 -> 40 [size =\"39394304\"]\n  13 -> 44 [size =\"39394304\"]\n  14 [size=\"75517952\", alpha=\"0.05\", expect_size=\"37758976\"] \n  14 -> 39 [size =\"37758976\"]\n  14 -> 44 [size =\"37758976\"]\n  14 -> 45 [size =\"37758976\"]\n  15 [size=\"77471744\", alpha=\"0.11\", expect_size=\"38735872\"] \n  16 [size=\"71702528\", alpha=\"0.14\", expect_size=\"35851264\"] \n  16 -> 37 [size =\"35851264\"]\n  16 -> 44 [size =\"35851264\"]\n  16 -> 45 [size =\"35851264\"]\n  17 [size=\"43091968\", alpha=\"0.04\", expect_size=\"21545984\"] \n  17 -> 40 [size =\"21545984\"]\n  17 -> 41 [size =\"21545984\"]\n  17 -> 45 [size =\"21545984\"]\n  18 [size=\"60753920\", alpha=\"0.18\", expect_size=\"30376960\"] \n  18 -> 39 [size =\"30376960\"]\n  18 -> 43 [size =\"30376960\"]\n  18 -> 44 [size =\"30376960\"]\n  18 -> 45 [size =\"30376960\"]\n  19 [size=\"29700096\", alpha=\"0.06\", expect_size=\"14850048\"] \n  19 -> 37 [size =\"14850048\"]\n  19 -> 45 [size =\"14850048\"]\n  20 [size=\"81813504\", alpha=\"0.20\", expect_size=\"40906752\"] \n  21 [size=\"25559040\", alpha=\"0.13\", expect_size=\"12779520\"] \n  21 -> 38 [size =\"12779520\"]\n  21 -> 41 [size =\"12779520\"]\n  21 -> 42 [size =\"12779520\"]\n  22 [size=\"103495680\", alpha=\"0.07\", expect_size=\"51747840\"] \n  22 -> 40 [size =\"51747840\"]\n  22 -> 41 [size =\"51747840\"]\n  23 [size=\"55107584\", alpha=\"0.16\", expect_size=\"27553792\"] \n  23 -> 37 [size =\"27553792\"]\n  23 -> 38 [size =\"27553792\"]\n  23 -> 45 [size =\"27553792\"]\n  24 [size=\"80037888\", alpha=\"0.00\", expect_size=\"40018944\"] \n  24 -> 44 [size =\"40018944\"]\n  25 [size=\"11382784\", alpha=\"0.07\", expect_size=\"5691392\"] \n  25 -> 38 [size =\"5691392\"]\n  25 -> 40 [size =\"5691392\"]\n  25 -> 41 [size =\"5691392\"]\n  25 -> 43 [size =\"5691392\"]\n  26 [size=\"65351680\", alpha=\"0.16\", expect_size=\"32675840\"] \n  26 -> 40 [size =\"32675840\"]\n  27 [size=\"39340032\", alpha=\"0.01\", expect_size=\"19670016\"] \n  27 -> 43 [size =\"19670016\"]\n  27 -> 44 [size =\"19670016\"]\n  27 -> 45 [size =\"19670016\"]\n  28 [size=\"59942912\", alpha=\"0.16\", expect_size=\"29971456\"] \n  28 -> 38 [size =\"29971456\"]\n  28 -> 44 [size =\"29971456\"]\n  29 [size=\"52119552\", alpha=\"0.06\", expect_size=\"26059776\"] \n  30 [size=\"79073280\", alpha=\"0.01\", expect_size=\"39536640\"] \n  30 -> 44 [size =\"39536640\"]\n  31 [size=\"78237696\", alpha=\"0.12\", expect_size=\"39118848\"] \n  31 -> 37 [size =\"39118848\"]\n  31 -> 40 [size =\"39118848\"]\n  31 -> 44 [size =\"39118848\"]\n  32 [size=\"45148160\", alpha=\"0.18\", expect_size=\"22574080\"] \n  32 -> 37 [size =\"22574080\"]\n  32 -> 38 [size =\"22574080\"]\n  33 [size=\"77481984\", alpha=\"0.18\", expect_size=\"38740992\"] \n  33 -> 37 [size =\"38740992\"]\n  33 -> 40 [size =\"38740992\"]\n  33 -> 44 [size =\"38740992\"]\n  34 [size=\"57810944\", alpha=\"0.12\", expect_size=\"28905472\"] \n  34 -> 37 [size =\"28905472\"]\n  34 -> 40 [size =\"28905472\"]\n  35 [size=\"58245120\", alpha=\"0.00\", expect_size=\"29122560\"] \n  35 -> 37 [size =\"29122560\"]\n  35 -> 40 [size =\"29122560\"]\n  36 [size=\"92362752\", alpha=\"0.02\", expect_size=\"46181376\"] \n  36 -> 40 [size =\"46181376\"]\n  36 -> 40 [size =\"46181376\"]\n  37 [size=\"71426048\", alpha=\"0.10\", expect_size=\"35713024\"] \n  38 [size=\"77072384\", alpha=\"0.09\", expect_size=\"38536192\"] \n  39 [size=\"57886720\", alpha=\"0.12\", expect_size=\"28943360\"] \n  40 [size=\"87820288\", alpha=\"0.10\", expect_size=\"43910144\"] \n  41 [size=\"91691008\", alpha=\"0.11\", expect_size=\"45845504\"] \n  42 [size=\"53069824\", alpha=\"0.12\", expect_size=\"26534912\"] \n  43 [size=\"42061824\", alpha=\"0.02\", expect_size=\"21030912\"] \n  44 [size=\"32598016\", alpha=\"0.07\", expect_size=\"16299008\"] \n  45 [size=\"89712640\", alpha=\"0.13\", expect_size=\"44856320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106078720\", alpha=\"0.03\", expect_size=\"42431488\"] \n  1 -> 4 [size =\"42431488\"]\n  1 -> 5 [size =\"42431488\"]\n  2 [size=\"89420800\", alpha=\"0.13\", expect_size=\"35768320\"] \n  2 -> 4 [size =\"35768320\"]\n  3 [size=\"84648960\", alpha=\"0.09\", expect_size=\"33859584\"] \n  4 [size=\"30809600\", alpha=\"0.02\", expect_size=\"12323840\"] \n  4 -> 7 [size =\"12323840\"]\n  5 [size=\"71851520\", alpha=\"0.02\", expect_size=\"28740608\"] \n  5 -> 6 [size =\"28740608\"]\n  5 -> 7 [size =\"28740608\"]\n  6 [size=\"127009280\", alpha=\"0.16\", expect_size=\"50803712\"] \n  6 -> 8 [size =\"50803712\"]\n  6 -> 10 [size =\"50803712\"]\n  7 [size=\"52216320\", alpha=\"0.18\", expect_size=\"20886528\"] \n  7 -> 8 [size =\"20886528\"]\n  7 -> 9 [size =\"20886528\"]\n  7 -> 10 [size =\"20886528\"]\n  8 [size=\"29591040\", alpha=\"0.14\", expect_size=\"11836416\"] \n  8 -> 12 [size =\"11836416\"]\n  8 -> 13 [size =\"11836416\"]\n  9 [size=\"35174400\", alpha=\"0.04\", expect_size=\"14069760\"] \n  9 -> 11 [size =\"14069760\"]\n  10 [size=\"128814080\", alpha=\"0.19\", expect_size=\"51525632\"] \n  11 [size=\"120005120\", alpha=\"0.20\", expect_size=\"48002048\"] \n  11 -> 14 [size =\"48002048\"]\n  12 [size=\"21050880\", alpha=\"0.19\", expect_size=\"8420352\"] \n  13 [size=\"99747840\", alpha=\"0.06\", expect_size=\"39899136\"] \n  13 -> 15 [size =\"39899136\"]\n  14 [size=\"32614400\", alpha=\"0.19\", expect_size=\"13045760\"] \n  14 -> 16 [size =\"13045760\"]\n  15 [size=\"41879040\", alpha=\"0.10\", expect_size=\"16751616\"] \n  15 -> 16 [size =\"16751616\"]\n  15 -> 17 [size =\"16751616\"]\n  16 [size=\"55178240\", alpha=\"0.13\", expect_size=\"22071296\"] \n  16 -> 18 [size =\"22071296\"]\n  17 [size=\"31050240\", alpha=\"0.06\", expect_size=\"12420096\"] \n  17 -> 18 [size =\"12420096\"]\n  17 -> 19 [size =\"12420096\"]\n  18 [size=\"18923520\", alpha=\"0.18\", expect_size=\"7569408\"] \n  18 -> 20 [size =\"7569408\"]\n  18 -> 21 [size =\"7569408\"]\n  18 -> 22 [size =\"7569408\"]\n  19 [size=\"100303360\", alpha=\"0.07\", expect_size=\"40121344\"] \n  19 -> 20 [size =\"40121344\"]\n  19 -> 21 [size =\"40121344\"]\n  19 -> 22 [size =\"40121344\"]\n  20 [size=\"121738240\", alpha=\"0.13\", expect_size=\"48695296\"] \n  20 -> 25 [size =\"48695296\"]\n  21 [size=\"118773760\", alpha=\"0.15\", expect_size=\"47509504\"] \n  21 -> 23 [size =\"47509504\"]\n  21 -> 24 [size =\"47509504\"]\n  21 -> 25 [size =\"47509504\"]\n  22 [size=\"117770240\", alpha=\"0.11\", expect_size=\"47108096\"] \n  22 -> 23 [size =\"47108096\"]\n  22 -> 24 [size =\"47108096\"]\n  22 -> 25 [size =\"47108096\"]\n  23 [size=\"113899520\", alpha=\"0.18\", expect_size=\"45559808\"] \n  23 -> 26 [size =\"45559808\"]\n  23 -> 27 [size =\"45559808\"]\n  24 [size=\"29859840\", alpha=\"0.08\", expect_size=\"11943936\"] \n  24 -> 26 [size =\"11943936\"]\n  24 -> 27 [size =\"11943936\"]\n  24 -> 28 [size =\"11943936\"]\n  25 [size=\"25264640\", alpha=\"0.09\", expect_size=\"10105856\"] \n  25 -> 26 [size =\"10105856\"]\n  25 -> 27 [size =\"10105856\"]\n  26 [size=\"81653760\", alpha=\"0.08\", expect_size=\"32661504\"] \n  26 -> 29 [size =\"32661504\"]\n  26 -> 30 [size =\"32661504\"]\n  27 [size=\"39649280\", alpha=\"0.14\", expect_size=\"15859712\"] \n  27 -> 29 [size =\"15859712\"]\n  27 -> 30 [size =\"15859712\"]\n  28 [size=\"73617920\", alpha=\"0.03\", expect_size=\"29447168\"] \n  28 -> 29 [size =\"29447168\"]\n  28 -> 30 [size =\"29447168\"]\n  29 [size=\"64522240\", alpha=\"0.16\", expect_size=\"25808896\"] \n  29 -> 31 [size =\"25808896\"]\n  29 -> 32 [size =\"25808896\"]\n  29 -> 33 [size =\"25808896\"]\n  30 [size=\"103377920\", alpha=\"0.09\", expect_size=\"41351168\"] \n  30 -> 31 [size =\"41351168\"]\n  30 -> 32 [size =\"41351168\"]\n  31 [size=\"62681600\", alpha=\"0.19\", expect_size=\"25072640\"] \n  31 -> 34 [size =\"25072640\"]\n  31 -> 35 [size =\"25072640\"]\n  32 [size=\"35407360\", alpha=\"0.11\", expect_size=\"14162944\"] \n  32 -> 35 [size =\"14162944\"]\n  33 [size=\"97871360\", alpha=\"0.18\", expect_size=\"39148544\"] \n  33 -> 35 [size =\"39148544\"]\n  34 [size=\"85683200\", alpha=\"0.08\", expect_size=\"34273280\"] \n  34 -> 36 [size =\"34273280\"]\n  34 -> 38 [size =\"34273280\"]\n  35 [size=\"16550400\", alpha=\"0.02\", expect_size=\"6620160\"] \n  35 -> 37 [size =\"6620160\"]\n  36 [size=\"67182080\", alpha=\"0.04\", expect_size=\"26872832\"] \n  36 -> 40 [size =\"26872832\"]\n  36 -> 41 [size =\"26872832\"]\n  37 [size=\"115553280\", alpha=\"0.09\", expect_size=\"46221312\"] \n  37 -> 39 [size =\"46221312\"]\n  37 -> 41 [size =\"46221312\"]\n  38 [size=\"82813440\", alpha=\"0.15\", expect_size=\"33125376\"] \n  38 -> 39 [size =\"33125376\"]\n  39 [size=\"103408640\", alpha=\"0.16\", expect_size=\"41363456\"] \n  39 -> 42 [size =\"41363456\"]\n  39 -> 44 [size =\"41363456\"]\n  40 [size=\"81446400\", alpha=\"0.15\", expect_size=\"32578560\"] \n  40 -> 43 [size =\"32578560\"]\n  40 -> 44 [size =\"32578560\"]\n  41 [size=\"14666240\", alpha=\"0.12\", expect_size=\"5866496\"] \n  41 -> 44 [size =\"5866496\"]\n  42 [size=\"127938560\", alpha=\"0.07\", expect_size=\"51175424\"] \n  43 [size=\"75307520\", alpha=\"0.18\", expect_size=\"30123008\"] \n  43 -> 45 [size =\"30123008\"]\n  44 [size=\"61383680\", alpha=\"0.13\", expect_size=\"24553472\"] \n  45 [size=\"105674240\", alpha=\"0.10\", expect_size=\"42269696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100099413\", alpha=\"0.12\", expect_size=\"30029824\"] \n  2 [size=\"32832853\", alpha=\"0.13\", expect_size=\"9849856\"] \n  3 [size=\"117251413\", alpha=\"0.05\", expect_size=\"35175424\"] \n  3 -> 4 [size =\"35175424\"]\n  3 -> 5 [size =\"35175424\"]\n  4 [size=\"134154240\", alpha=\"0.09\", expect_size=\"40246272\"] \n  4 -> 7 [size =\"40246272\"]\n  5 [size=\"66205013\", alpha=\"0.20\", expect_size=\"19861504\"] \n  5 -> 6 [size =\"19861504\"]\n  5 -> 8 [size =\"19861504\"]\n  6 [size=\"75874987\", alpha=\"0.20\", expect_size=\"22762496\"] \n  6 -> 9 [size =\"22762496\"]\n  6 -> 10 [size =\"22762496\"]\n  7 [size=\"57398613\", alpha=\"0.07\", expect_size=\"17219584\"] \n  8 [size=\"127412907\", alpha=\"0.19\", expect_size=\"38223872\"] \n  8 -> 10 [size =\"38223872\"]\n  9 [size=\"18831360\", alpha=\"0.01\", expect_size=\"5649408\"] \n  10 [size=\"52995413\", alpha=\"0.03\", expect_size=\"15898624\"] \n  10 -> 11 [size =\"15898624\"]\n  10 -> 12 [size =\"15898624\"]\n  11 [size=\"58897067\", alpha=\"0.04\", expect_size=\"17669120\"] \n  11 -> 14 [size =\"17669120\"]\n  11 -> 15 [size =\"17669120\"]\n  12 [size=\"153460053\", alpha=\"0.08\", expect_size=\"46038016\"] \n  12 -> 13 [size =\"46038016\"]\n  13 [size=\"99522560\", alpha=\"0.12\", expect_size=\"29856768\"] \n  13 -> 16 [size =\"29856768\"]\n  13 -> 17 [size =\"29856768\"]\n  14 [size=\"140294827\", alpha=\"0.19\", expect_size=\"42088448\"] \n  14 -> 16 [size =\"42088448\"]\n  14 -> 18 [size =\"42088448\"]\n  15 [size=\"51940693\", alpha=\"0.15\", expect_size=\"15582208\"] \n  16 [size=\"51561813\", alpha=\"0.17\", expect_size=\"15468544\"] \n  16 -> 21 [size =\"15468544\"]\n  17 [size=\"47824213\", alpha=\"0.10\", expect_size=\"14347264\"] \n  17 -> 19 [size =\"14347264\"]\n  17 -> 20 [size =\"14347264\"]\n  18 [size=\"102184960\", alpha=\"0.03\", expect_size=\"30655488\"] \n  19 [size=\"92313600\", alpha=\"0.18\", expect_size=\"27694080\"] \n  19 -> 22 [size =\"27694080\"]\n  19 -> 23 [size =\"27694080\"]\n  20 [size=\"103198720\", alpha=\"0.00\", expect_size=\"30959616\"] \n  20 -> 22 [size =\"30959616\"]\n  20 -> 23 [size =\"30959616\"]\n  21 [size=\"128955733\", alpha=\"0.12\", expect_size=\"38686720\"] \n  22 [size=\"157508267\", alpha=\"0.06\", expect_size=\"47252480\"] \n  22 -> 24 [size =\"47252480\"]\n  23 [size=\"61399040\", alpha=\"0.13\", expect_size=\"18419712\"] \n  23 -> 25 [size =\"18419712\"]\n  24 [size=\"156467200\", alpha=\"0.15\", expect_size=\"46940160\"] \n  24 -> 26 [size =\"46940160\"]\n  25 [size=\"148671147\", alpha=\"0.03\", expect_size=\"44601344\"] \n  25 -> 27 [size =\"44601344\"]\n  25 -> 28 [size =\"44601344\"]\n  26 [size=\"109066240\", alpha=\"0.18\", expect_size=\"32719872\"] \n  26 -> 31 [size =\"32719872\"]\n  27 [size=\"83002027\", alpha=\"0.19\", expect_size=\"24900608\"] \n  27 -> 30 [size =\"24900608\"]\n  28 [size=\"160880640\", alpha=\"0.13\", expect_size=\"48264192\"] \n  28 -> 29 [size =\"48264192\"]\n  28 -> 30 [size =\"48264192\"]\n  29 [size=\"26286080\", alpha=\"0.07\", expect_size=\"7885824\"] \n  29 -> 33 [size =\"7885824\"]\n  30 [size=\"171315200\", alpha=\"0.06\", expect_size=\"51394560\"] \n  30 -> 33 [size =\"51394560\"]\n  31 [size=\"172346027\", alpha=\"0.11\", expect_size=\"51703808\"] \n  31 -> 32 [size =\"51703808\"]\n  32 [size=\"112005120\", alpha=\"0.12\", expect_size=\"33601536\"] \n  32 -> 35 [size =\"33601536\"]\n  33 [size=\"162938880\", alpha=\"0.04\", expect_size=\"48881664\"] \n  33 -> 34 [size =\"48881664\"]\n  34 [size=\"110342827\", alpha=\"0.12\", expect_size=\"33102848\"] \n  35 [size=\"70905173\", alpha=\"0.04\", expect_size=\"21271552\"] \n  35 -> 36 [size =\"21271552\"]\n  35 -> 37 [size =\"21271552\"]\n  36 [size=\"93354667\", alpha=\"0.00\", expect_size=\"28006400\"] \n  37 [size=\"78807040\", alpha=\"0.01\", expect_size=\"23642112\"] \n  37 -> 38 [size =\"23642112\"]\n  37 -> 39 [size =\"23642112\"]\n  38 [size=\"67184640\", alpha=\"0.12\", expect_size=\"20155392\"] \n  38 -> 41 [size =\"20155392\"]\n  39 [size=\"168427520\", alpha=\"0.12\", expect_size=\"50528256\"] \n  39 -> 40 [size =\"50528256\"]\n  40 [size=\"69321387\", alpha=\"0.04\", expect_size=\"20796416\"] \n  40 -> 43 [size =\"20796416\"]\n  41 [size=\"119958187\", alpha=\"0.09\", expect_size=\"35987456\"] \n  41 -> 42 [size =\"35987456\"]\n  42 [size=\"47189333\", alpha=\"0.13\", expect_size=\"14156800\"] \n  42 -> 45 [size =\"14156800\"]\n  43 [size=\"144285013\", alpha=\"0.02\", expect_size=\"43285504\"] \n  43 -> 44 [size =\"43285504\"]\n  44 [size=\"21432320\", alpha=\"0.08\", expect_size=\"6429696\"] \n  45 [size=\"116026027\", alpha=\"0.12\", expect_size=\"34807808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171571200\", alpha=\"0.00\", expect_size=\"51471360\"] \n  1 -> 8 [size =\"51471360\"]\n  1 -> 9 [size =\"51471360\"]\n  1 -> 10 [size =\"51471360\"]\n  2 [size=\"82633387\", alpha=\"0.15\", expect_size=\"24790016\"] \n  2 -> 6 [size =\"24790016\"]\n  2 -> 7 [size =\"24790016\"]\n  2 -> 10 [size =\"24790016\"]\n  3 [size=\"113971200\", alpha=\"0.13\", expect_size=\"34191360\"] \n  3 -> 6 [size =\"34191360\"]\n  3 -> 8 [size =\"34191360\"]\n  4 [size=\"115114667\", alpha=\"0.17\", expect_size=\"34534400\"] \n  4 -> 8 [size =\"34534400\"]\n  4 -> 9 [size =\"34534400\"]\n  4 -> 10 [size =\"34534400\"]\n  5 [size=\"42547200\", alpha=\"0.00\", expect_size=\"12764160\"] \n  5 -> 7 [size =\"12764160\"]\n  5 -> 8 [size =\"12764160\"]\n  5 -> 9 [size =\"12764160\"]\n  5 -> 10 [size =\"12764160\"]\n  6 [size=\"166222507\", alpha=\"0.02\", expect_size=\"49866752\"] \n  6 -> 11 [size =\"49866752\"]\n  6 -> 13 [size =\"49866752\"]\n  6 -> 14 [size =\"49866752\"]\n  7 [size=\"37928960\", alpha=\"0.19\", expect_size=\"11378688\"] \n  7 -> 13 [size =\"11378688\"]\n  7 -> 15 [size =\"11378688\"]\n  7 -> 16 [size =\"11378688\"]\n  8 [size=\"91040427\", alpha=\"0.04\", expect_size=\"27312128\"] \n  8 -> 11 [size =\"27312128\"]\n  8 -> 13 [size =\"27312128\"]\n  9 [size=\"134570667\", alpha=\"0.18\", expect_size=\"40371200\"] \n  9 -> 11 [size =\"40371200\"]\n  9 -> 12 [size =\"40371200\"]\n  9 -> 13 [size =\"40371200\"]\n  9 -> 14 [size =\"40371200\"]\n  9 -> 15 [size =\"40371200\"]\n  9 -> 16 [size =\"40371200\"]\n  10 [size=\"80356693\", alpha=\"0.11\", expect_size=\"24107008\"] \n  10 -> 11 [size =\"24107008\"]\n  10 -> 12 [size =\"24107008\"]\n  10 -> 14 [size =\"24107008\"]\n  11 [size=\"27467093\", alpha=\"0.03\", expect_size=\"8240128\"] \n  11 -> 20 [size =\"8240128\"]\n  12 [size=\"28474027\", alpha=\"0.15\", expect_size=\"8542208\"] \n  12 -> 17 [size =\"8542208\"]\n  12 -> 18 [size =\"8542208\"]\n  13 [size=\"143544320\", alpha=\"0.18\", expect_size=\"43063296\"] \n  13 -> 18 [size =\"43063296\"]\n  13 -> 20 [size =\"43063296\"]\n  13 -> 21 [size =\"43063296\"]\n  14 [size=\"91610453\", alpha=\"0.07\", expect_size=\"27483136\"] \n  14 -> 19 [size =\"27483136\"]\n  14 -> 21 [size =\"27483136\"]\n  14 -> 21 [size =\"27483136\"]\n  15 [size=\"67949227\", alpha=\"0.01\", expect_size=\"20384768\"] \n  15 -> 17 [size =\"20384768\"]\n  15 -> 18 [size =\"20384768\"]\n  15 -> 21 [size =\"20384768\"]\n  15 -> 22 [size =\"20384768\"]\n  16 [size=\"68696747\", alpha=\"0.13\", expect_size=\"20609024\"] \n  16 -> 20 [size =\"20609024\"]\n  16 -> 21 [size =\"20609024\"]\n  16 -> 22 [size =\"20609024\"]\n  16 -> 22 [size =\"20609024\"]\n  17 [size=\"83735893\", alpha=\"0.17\", expect_size=\"25120768\"] \n  17 -> 25 [size =\"25120768\"]\n  18 [size=\"72891733\", alpha=\"0.10\", expect_size=\"21867520\"] \n  18 -> 23 [size =\"21867520\"]\n  18 -> 28 [size =\"21867520\"]\n  19 [size=\"107120640\", alpha=\"0.17\", expect_size=\"32136192\"] \n  19 -> 26 [size =\"32136192\"]\n  19 -> 28 [size =\"32136192\"]\n  20 [size=\"94778027\", alpha=\"0.12\", expect_size=\"28433408\"] \n  20 -> 25 [size =\"28433408\"]\n  21 [size=\"20664320\", alpha=\"0.07\", expect_size=\"6199296\"] \n  21 -> 23 [size =\"6199296\"]\n  21 -> 24 [size =\"6199296\"]\n  21 -> 26 [size =\"6199296\"]\n  21 -> 27 [size =\"6199296\"]\n  22 [size=\"43707733\", alpha=\"0.10\", expect_size=\"13112320\"] \n  22 -> 24 [size =\"13112320\"]\n  22 -> 26 [size =\"13112320\"]\n  23 [size=\"163635200\", alpha=\"0.05\", expect_size=\"49090560\"] \n  23 -> 30 [size =\"49090560\"]\n  23 -> 31 [size =\"49090560\"]\n  23 -> 32 [size =\"49090560\"]\n  23 -> 33 [size =\"49090560\"]\n  24 [size=\"148418560\", alpha=\"0.13\", expect_size=\"44525568\"] \n  24 -> 29 [size =\"44525568\"]\n  24 -> 31 [size =\"44525568\"]\n  24 -> 32 [size =\"44525568\"]\n  24 -> 33 [size =\"44525568\"]\n  25 [size=\"43373227\", alpha=\"0.04\", expect_size=\"13011968\"] \n  25 -> 29 [size =\"13011968\"]\n  25 -> 30 [size =\"13011968\"]\n  25 -> 32 [size =\"13011968\"]\n  25 -> 33 [size =\"13011968\"]\n  26 [size=\"50821120\", alpha=\"0.14\", expect_size=\"15246336\"] \n  27 [size=\"156153173\", alpha=\"0.07\", expect_size=\"46845952\"] \n  27 -> 29 [size =\"46845952\"]\n  27 -> 30 [size =\"46845952\"]\n  27 -> 33 [size =\"46845952\"]\n  28 [size=\"128846507\", alpha=\"0.08\", expect_size=\"38653952\"] \n  28 -> 32 [size =\"38653952\"]\n  29 [size=\"50742613\", alpha=\"0.05\", expect_size=\"15222784\"] \n  29 -> 34 [size =\"15222784\"]\n  29 -> 36 [size =\"15222784\"]\n  29 -> 39 [size =\"15222784\"]\n  30 [size=\"26371413\", alpha=\"0.10\", expect_size=\"7911424\"] \n  30 -> 34 [size =\"7911424\"]\n  30 -> 36 [size =\"7911424\"]\n  30 -> 38 [size =\"7911424\"]\n  30 -> 39 [size =\"7911424\"]\n  31 [size=\"121794560\", alpha=\"0.16\", expect_size=\"36538368\"] \n  31 -> 35 [size =\"36538368\"]\n  31 -> 37 [size =\"36538368\"]\n  31 -> 38 [size =\"36538368\"]\n  31 -> 39 [size =\"36538368\"]\n  32 [size=\"19244373\", alpha=\"0.03\", expect_size=\"5773312\"] \n  33 [size=\"98457600\", alpha=\"0.07\", expect_size=\"29537280\"] \n  33 -> 34 [size =\"29537280\"]\n  33 -> 35 [size =\"29537280\"]\n  33 -> 37 [size =\"29537280\"]\n  33 -> 38 [size =\"29537280\"]\n  33 -> 39 [size =\"29537280\"]\n  34 [size=\"141356373\", alpha=\"0.20\", expect_size=\"42406912\"] \n  34 -> 41 [size =\"42406912\"]\n  34 -> 42 [size =\"42406912\"]\n  35 [size=\"88292693\", alpha=\"0.19\", expect_size=\"26487808\"] \n  36 [size=\"121627307\", alpha=\"0.05\", expect_size=\"36488192\"] \n  36 -> 42 [size =\"36488192\"]\n  36 -> 44 [size =\"36488192\"]\n  36 -> 45 [size =\"36488192\"]\n  37 [size=\"75533653\", alpha=\"0.19\", expect_size=\"22660096\"] \n  37 -> 40 [size =\"22660096\"]\n  37 -> 42 [size =\"22660096\"]\n  38 [size=\"127757653\", alpha=\"0.00\", expect_size=\"38327296\"] \n  38 -> 43 [size =\"38327296\"]\n  39 [size=\"37290667\", alpha=\"0.13\", expect_size=\"11187200\"] \n  39 -> 42 [size =\"11187200\"]\n  39 -> 43 [size =\"11187200\"]\n  39 -> 45 [size =\"11187200\"]\n  40 [size=\"78510080\", alpha=\"0.15\", expect_size=\"23553024\"] \n  41 [size=\"157016747\", alpha=\"0.18\", expect_size=\"47105024\"] \n  42 [size=\"125515093\", alpha=\"0.05\", expect_size=\"37654528\"] \n  43 [size=\"152292693\", alpha=\"0.09\", expect_size=\"45687808\"] \n  44 [size=\"48837973\", alpha=\"0.11\", expect_size=\"14651392\"] \n  45 [size=\"46578347\", alpha=\"0.16\", expect_size=\"13973504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59357867\", alpha=\"0.00\", expect_size=\"17807360\"] \n  1 -> 28 [size =\"17807360\"]\n  1 -> 30 [size =\"17807360\"]\n  1 -> 31 [size =\"17807360\"]\n  1 -> 34 [size =\"17807360\"]\n  1 -> 38 [size =\"17807360\"]\n  2 [size=\"152340480\", alpha=\"0.05\", expect_size=\"45702144\"] \n  2 -> 28 [size =\"45702144\"]\n  2 -> 29 [size =\"45702144\"]\n  2 -> 30 [size =\"45702144\"]\n  2 -> 31 [size =\"45702144\"]\n  2 -> 34 [size =\"45702144\"]\n  2 -> 38 [size =\"45702144\"]\n  2 -> 41 [size =\"45702144\"]\n  2 -> 42 [size =\"45702144\"]\n  2 -> 45 [size =\"45702144\"]\n  3 [size=\"109622613\", alpha=\"0.10\", expect_size=\"32886784\"] \n  3 -> 28 [size =\"32886784\"]\n  3 -> 31 [size =\"32886784\"]\n  3 -> 32 [size =\"32886784\"]\n  3 -> 34 [size =\"32886784\"]\n  3 -> 34 [size =\"32886784\"]\n  3 -> 39 [size =\"32886784\"]\n  3 -> 41 [size =\"32886784\"]\n  3 -> 42 [size =\"32886784\"]\n  3 -> 45 [size =\"32886784\"]\n  4 [size=\"132689920\", alpha=\"0.07\", expect_size=\"39806976\"] \n  4 -> 28 [size =\"39806976\"]\n  4 -> 31 [size =\"39806976\"]\n  4 -> 38 [size =\"39806976\"]\n  4 -> 39 [size =\"39806976\"]\n  4 -> 40 [size =\"39806976\"]\n  4 -> 42 [size =\"39806976\"]\n  4 -> 45 [size =\"39806976\"]\n  5 [size=\"110325760\", alpha=\"0.11\", expect_size=\"33097728\"] \n  5 -> 28 [size =\"33097728\"]\n  5 -> 32 [size =\"33097728\"]\n  5 -> 33 [size =\"33097728\"]\n  5 -> 34 [size =\"33097728\"]\n  5 -> 39 [size =\"33097728\"]\n  5 -> 42 [size =\"33097728\"]\n  5 -> 45 [size =\"33097728\"]\n  6 [size=\"118452907\", alpha=\"0.13\", expect_size=\"35535872\"] \n  6 -> 28 [size =\"35535872\"]\n  6 -> 29 [size =\"35535872\"]\n  6 -> 33 [size =\"35535872\"]\n  6 -> 34 [size =\"35535872\"]\n  6 -> 38 [size =\"35535872\"]\n  6 -> 39 [size =\"35535872\"]\n  7 [size=\"63993173\", alpha=\"0.08\", expect_size=\"19197952\"] \n  7 -> 29 [size =\"19197952\"]\n  7 -> 32 [size =\"19197952\"]\n  7 -> 35 [size =\"19197952\"]\n  7 -> 43 [size =\"19197952\"]\n  7 -> 44 [size =\"19197952\"]\n  7 -> 45 [size =\"19197952\"]\n  8 [size=\"45530453\", alpha=\"0.11\", expect_size=\"13659136\"] \n  8 -> 30 [size =\"13659136\"]\n  8 -> 32 [size =\"13659136\"]\n  8 -> 35 [size =\"13659136\"]\n  8 -> 38 [size =\"13659136\"]\n  8 -> 39 [size =\"13659136\"]\n  9 [size=\"102188373\", alpha=\"0.12\", expect_size=\"30656512\"] \n  9 -> 32 [size =\"30656512\"]\n  9 -> 32 [size =\"30656512\"]\n  9 -> 39 [size =\"30656512\"]\n  9 -> 42 [size =\"30656512\"]\n  10 [size=\"30491307\", alpha=\"0.12\", expect_size=\"9147392\"] \n  10 -> 32 [size =\"9147392\"]\n  10 -> 37 [size =\"9147392\"]\n  10 -> 44 [size =\"9147392\"]\n  11 [size=\"125023573\", alpha=\"0.19\", expect_size=\"37507072\"] \n  11 -> 32 [size =\"37507072\"]\n  11 -> 33 [size =\"37507072\"]\n  11 -> 40 [size =\"37507072\"]\n  12 [size=\"128344747\", alpha=\"0.15\", expect_size=\"38503424\"] \n  12 -> 28 [size =\"38503424\"]\n  12 -> 30 [size =\"38503424\"]\n  12 -> 32 [size =\"38503424\"]\n  12 -> 33 [size =\"38503424\"]\n  12 -> 38 [size =\"38503424\"]\n  12 -> 40 [size =\"38503424\"]\n  12 -> 45 [size =\"38503424\"]\n  13 [size=\"167837013\", alpha=\"0.11\", expect_size=\"50351104\"] \n  13 -> 32 [size =\"50351104\"]\n  13 -> 33 [size =\"50351104\"]\n  13 -> 35 [size =\"50351104\"]\n  14 [size=\"92672000\", alpha=\"0.19\", expect_size=\"27801600\"] \n  14 -> 29 [size =\"27801600\"]\n  14 -> 30 [size =\"27801600\"]\n  14 -> 32 [size =\"27801600\"]\n  14 -> 33 [size =\"27801600\"]\n  15 [size=\"144776533\", alpha=\"0.00\", expect_size=\"43432960\"] \n  15 -> 30 [size =\"43432960\"]\n  15 -> 32 [size =\"43432960\"]\n  15 -> 32 [size =\"43432960\"]\n  15 -> 34 [size =\"43432960\"]\n  15 -> 36 [size =\"43432960\"]\n  15 -> 37 [size =\"43432960\"]\n  15 -> 43 [size =\"43432960\"]\n  15 -> 45 [size =\"43432960\"]\n  16 [size=\"70587733\", alpha=\"0.07\", expect_size=\"21176320\"] \n  16 -> 28 [size =\"21176320\"]\n  16 -> 30 [size =\"21176320\"]\n  16 -> 33 [size =\"21176320\"]\n  16 -> 36 [size =\"21176320\"]\n  16 -> 39 [size =\"21176320\"]\n  16 -> 45 [size =\"21176320\"]\n  17 [size=\"18285227\", alpha=\"0.03\", expect_size=\"5485568\"] \n  17 -> 28 [size =\"5485568\"]\n  17 -> 33 [size =\"5485568\"]\n  17 -> 45 [size =\"5485568\"]\n  18 [size=\"81725440\", alpha=\"0.14\", expect_size=\"24517632\"] \n  18 -> 32 [size =\"24517632\"]\n  18 -> 33 [size =\"24517632\"]\n  18 -> 35 [size =\"24517632\"]\n  18 -> 42 [size =\"24517632\"]\n  18 -> 45 [size =\"24517632\"]\n  19 [size=\"167533227\", alpha=\"0.15\", expect_size=\"50259968\"] \n  19 -> 29 [size =\"50259968\"]\n  19 -> 32 [size =\"50259968\"]\n  19 -> 36 [size =\"50259968\"]\n  19 -> 39 [size =\"50259968\"]\n  19 -> 40 [size =\"50259968\"]\n  19 -> 44 [size =\"50259968\"]\n  20 [size=\"105458347\", alpha=\"0.13\", expect_size=\"31637504\"] \n  20 -> 31 [size =\"31637504\"]\n  20 -> 33 [size =\"31637504\"]\n  20 -> 34 [size =\"31637504\"]\n  20 -> 37 [size =\"31637504\"]\n  20 -> 44 [size =\"31637504\"]\n  20 -> 45 [size =\"31637504\"]\n  21 [size=\"43489280\", alpha=\"0.16\", expect_size=\"13046784\"] \n  21 -> 31 [size =\"13046784\"]\n  21 -> 33 [size =\"13046784\"]\n  21 -> 37 [size =\"13046784\"]\n  22 [size=\"35133440\", alpha=\"0.16\", expect_size=\"10540032\"] \n  22 -> 30 [size =\"10540032\"]\n  22 -> 37 [size =\"10540032\"]\n  23 [size=\"156576427\", alpha=\"0.08\", expect_size=\"46972928\"] \n  23 -> 28 [size =\"46972928\"]\n  23 -> 30 [size =\"46972928\"]\n  23 -> 33 [size =\"46972928\"]\n  23 -> 38 [size =\"46972928\"]\n  23 -> 39 [size =\"46972928\"]\n  23 -> 45 [size =\"46972928\"]\n  24 [size=\"86446080\", alpha=\"0.15\", expect_size=\"25933824\"] \n  24 -> 28 [size =\"25933824\"]\n  24 -> 31 [size =\"25933824\"]\n  24 -> 33 [size =\"25933824\"]\n  24 -> 37 [size =\"25933824\"]\n  24 -> 39 [size =\"25933824\"]\n  24 -> 42 [size =\"25933824\"]\n  25 [size=\"81199787\", alpha=\"0.13\", expect_size=\"24359936\"] \n  25 -> 28 [size =\"24359936\"]\n  25 -> 30 [size =\"24359936\"]\n  25 -> 32 [size =\"24359936\"]\n  25 -> 33 [size =\"24359936\"]\n  25 -> 37 [size =\"24359936\"]\n  25 -> 42 [size =\"24359936\"]\n  25 -> 43 [size =\"24359936\"]\n  26 [size=\"84217173\", alpha=\"0.04\", expect_size=\"25265152\"] \n  26 -> 29 [size =\"25265152\"]\n  26 -> 30 [size =\"25265152\"]\n  26 -> 33 [size =\"25265152\"]\n  26 -> 40 [size =\"25265152\"]\n  26 -> 45 [size =\"25265152\"]\n  27 [size=\"135417173\", alpha=\"0.02\", expect_size=\"40625152\"] \n  27 -> 28 [size =\"40625152\"]\n  27 -> 30 [size =\"40625152\"]\n  27 -> 33 [size =\"40625152\"]\n  27 -> 43 [size =\"40625152\"]\n  28 [size=\"157180587\", alpha=\"0.02\", expect_size=\"47154176\"] \n  29 [size=\"111083520\", alpha=\"0.14\", expect_size=\"33325056\"] \n  30 [size=\"70041600\", alpha=\"0.07\", expect_size=\"21012480\"] \n  31 [size=\"169055573\", alpha=\"0.14\", expect_size=\"50716672\"] \n  32 [size=\"135437653\", alpha=\"0.15\", expect_size=\"40631296\"] \n  33 [size=\"104052053\", alpha=\"0.15\", expect_size=\"31215616\"] \n  34 [size=\"167045120\", alpha=\"0.05\", expect_size=\"50113536\"] \n  35 [size=\"125061120\", alpha=\"0.11\", expect_size=\"37518336\"] \n  36 [size=\"70949547\", alpha=\"0.03\", expect_size=\"21284864\"] \n  37 [size=\"105690453\", alpha=\"0.16\", expect_size=\"31707136\"] \n  38 [size=\"118514347\", alpha=\"0.17\", expect_size=\"35554304\"] \n  39 [size=\"137478827\", alpha=\"0.17\", expect_size=\"41243648\"] \n  40 [size=\"90009600\", alpha=\"0.08\", expect_size=\"27002880\"] \n  41 [size=\"146411520\", alpha=\"0.02\", expect_size=\"43923456\"] \n  42 [size=\"99659093\", alpha=\"0.19\", expect_size=\"29897728\"] \n  43 [size=\"60624213\", alpha=\"0.13\", expect_size=\"18187264\"] \n  44 [size=\"22381227\", alpha=\"0.17\", expect_size=\"6714368\"] \n  45 [size=\"60129280\", alpha=\"0.08\", expect_size=\"18038784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25550848\", alpha=\"0.05\", expect_size=\"12775424\"] \n  1 -> 2 [size =\"12775424\"]\n  2 [size=\"42332160\", alpha=\"0.05\", expect_size=\"21166080\"] \n  2 -> 3 [size =\"21166080\"]\n  3 [size=\"84703232\", alpha=\"0.12\", expect_size=\"42351616\"] \n  3 -> 4 [size =\"42351616\"]\n  4 [size=\"30959616\", alpha=\"0.12\", expect_size=\"15479808\"] \n  4 -> 5 [size =\"15479808\"]\n  5 [size=\"75276288\", alpha=\"0.08\", expect_size=\"37638144\"] \n  5 -> 6 [size =\"37638144\"]\n  6 [size=\"96395264\", alpha=\"0.18\", expect_size=\"48197632\"] \n  6 -> 7 [size =\"48197632\"]\n  7 [size=\"16467968\", alpha=\"0.08\", expect_size=\"8233984\"] \n  7 -> 8 [size =\"8233984\"]\n  8 [size=\"67874816\", alpha=\"0.09\", expect_size=\"33937408\"] \n  8 -> 9 [size =\"33937408\"]\n  9 [size=\"104566784\", alpha=\"0.20\", expect_size=\"52283392\"] \n  9 -> 10 [size =\"52283392\"]\n  10 [size=\"98269184\", alpha=\"0.04\", expect_size=\"49134592\"] \n  10 -> 11 [size =\"49134592\"]\n  11 [size=\"86206464\", alpha=\"0.18\", expect_size=\"43103232\"] \n  11 -> 12 [size =\"43103232\"]\n  12 [size=\"17180672\", alpha=\"0.07\", expect_size=\"8590336\"] \n  12 -> 13 [size =\"8590336\"]\n  13 [size=\"42248192\", alpha=\"0.13\", expect_size=\"21124096\"] \n  13 -> 14 [size =\"21124096\"]\n  14 [size=\"97142784\", alpha=\"0.01\", expect_size=\"48571392\"] \n  14 -> 15 [size =\"48571392\"]\n  15 [size=\"58865664\", alpha=\"0.17\", expect_size=\"29432832\"] \n  15 -> 16 [size =\"29432832\"]\n  16 [size=\"96161792\", alpha=\"0.16\", expect_size=\"48080896\"] \n  16 -> 17 [size =\"48080896\"]\n  17 [size=\"88197120\", alpha=\"0.16\", expect_size=\"44098560\"] \n  17 -> 18 [size =\"44098560\"]\n  18 [size=\"33439744\", alpha=\"0.11\", expect_size=\"16719872\"] \n  18 -> 19 [size =\"16719872\"]\n  19 [size=\"78217216\", alpha=\"0.17\", expect_size=\"39108608\"] \n  19 -> 20 [size =\"39108608\"]\n  20 [size=\"76769280\", alpha=\"0.15\", expect_size=\"38384640\"] \n  20 -> 21 [size =\"38384640\"]\n  21 [size=\"97052672\", alpha=\"0.16\", expect_size=\"48526336\"] \n  21 -> 22 [size =\"48526336\"]\n  22 [size=\"89800704\", alpha=\"0.04\", expect_size=\"44900352\"] \n  22 -> 23 [size =\"44900352\"]\n  23 [size=\"26738688\", alpha=\"0.07\", expect_size=\"13369344\"] \n  23 -> 24 [size =\"13369344\"]\n  24 [size=\"90056704\", alpha=\"0.15\", expect_size=\"45028352\"] \n  24 -> 25 [size =\"45028352\"]\n  25 [size=\"94699520\", alpha=\"0.16\", expect_size=\"47349760\"] \n  25 -> 26 [size =\"47349760\"]\n  26 [size=\"81893376\", alpha=\"0.16\", expect_size=\"40946688\"] \n  26 -> 27 [size =\"40946688\"]\n  27 [size=\"64759808\", alpha=\"0.16\", expect_size=\"32379904\"] \n  27 -> 28 [size =\"32379904\"]\n  28 [size=\"44607488\", alpha=\"0.10\", expect_size=\"22303744\"] \n  28 -> 29 [size =\"22303744\"]\n  29 [size=\"98525184\", alpha=\"0.02\", expect_size=\"49262592\"] \n  29 -> 30 [size =\"49262592\"]\n  30 [size=\"86671360\", alpha=\"0.14\", expect_size=\"43335680\"] \n  30 -> 31 [size =\"43335680\"]\n  31 [size=\"63768576\", alpha=\"0.02\", expect_size=\"31884288\"] \n  31 -> 32 [size =\"31884288\"]\n  32 [size=\"44883968\", alpha=\"0.11\", expect_size=\"22441984\"] \n  32 -> 33 [size =\"22441984\"]\n  33 [size=\"61861888\", alpha=\"0.07\", expect_size=\"30930944\"] \n  33 -> 34 [size =\"30930944\"]\n  34 [size=\"94550016\", alpha=\"0.01\", expect_size=\"47275008\"] \n  34 -> 35 [size =\"47275008\"]\n  35 [size=\"69052416\", alpha=\"0.05\", expect_size=\"34526208\"] \n  35 -> 36 [size =\"34526208\"]\n  36 [size=\"50159616\", alpha=\"0.08\", expect_size=\"25079808\"] \n  36 -> 37 [size =\"25079808\"]\n  37 [size=\"29411328\", alpha=\"0.07\", expect_size=\"14705664\"] \n  37 -> 38 [size =\"14705664\"]\n  38 [size=\"12789760\", alpha=\"0.11\", expect_size=\"6394880\"] \n  38 -> 39 [size =\"6394880\"]\n  39 [size=\"57688064\", alpha=\"0.09\", expect_size=\"28844032\"] \n  39 -> 40 [size =\"28844032\"]\n  40 [size=\"69439488\", alpha=\"0.01\", expect_size=\"34719744\"] \n  40 -> 41 [size =\"34719744\"]\n  41 [size=\"41461760\", alpha=\"0.12\", expect_size=\"20730880\"] \n  41 -> 42 [size =\"20730880\"]\n  42 [size=\"49471488\", alpha=\"0.19\", expect_size=\"24735744\"] \n  42 -> 43 [size =\"24735744\"]\n  43 [size=\"100167680\", alpha=\"0.10\", expect_size=\"50083840\"] \n  43 -> 44 [size =\"50083840\"]\n  44 [size=\"36569088\", alpha=\"0.18\", expect_size=\"18284544\"] \n  44 -> 45 [size =\"18284544\"]\n  45 [size=\"39706624\", alpha=\"0.03\", expect_size=\"19853312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52966400\", alpha=\"0.13\", expect_size=\"21186560\"] \n  1 -> 2 [size =\"21186560\"]\n  2 [size=\"17984000\", alpha=\"0.19\", expect_size=\"7193600\"] \n  2 -> 3 [size =\"7193600\"]\n  3 [size=\"87628800\", alpha=\"0.14\", expect_size=\"35051520\"] \n  3 -> 4 [size =\"35051520\"]\n  4 [size=\"48578560\", alpha=\"0.03\", expect_size=\"19431424\"] \n  4 -> 5 [size =\"19431424\"]\n  5 [size=\"93969920\", alpha=\"0.13\", expect_size=\"37587968\"] \n  5 -> 6 [size =\"37587968\"]\n  6 [size=\"75855360\", alpha=\"0.01\", expect_size=\"30342144\"] \n  6 -> 7 [size =\"30342144\"]\n  7 [size=\"28789760\", alpha=\"0.02\", expect_size=\"11515904\"] \n  7 -> 8 [size =\"11515904\"]\n  8 [size=\"71226880\", alpha=\"0.08\", expect_size=\"28490752\"] \n  8 -> 9 [size =\"28490752\"]\n  9 [size=\"105740800\", alpha=\"0.16\", expect_size=\"42296320\"] \n  9 -> 10 [size =\"42296320\"]\n  10 [size=\"29585920\", alpha=\"0.15\", expect_size=\"11834368\"] \n  10 -> 11 [size =\"11834368\"]\n  11 [size=\"17190400\", alpha=\"0.02\", expect_size=\"6876160\"] \n  11 -> 12 [size =\"6876160\"]\n  12 [size=\"94118400\", alpha=\"0.01\", expect_size=\"37647360\"] \n  12 -> 13 [size =\"37647360\"]\n  13 [size=\"90562560\", alpha=\"0.10\", expect_size=\"36225024\"] \n  13 -> 14 [size =\"36225024\"]\n  14 [size=\"53729280\", alpha=\"0.19\", expect_size=\"21491712\"] \n  14 -> 15 [size =\"21491712\"]\n  15 [size=\"71948800\", alpha=\"0.14\", expect_size=\"28779520\"] \n  15 -> 16 [size =\"28779520\"]\n  16 [size=\"28828160\", alpha=\"0.17\", expect_size=\"11531264\"] \n  16 -> 17 [size =\"11531264\"]\n  17 [size=\"34652160\", alpha=\"0.17\", expect_size=\"13860864\"] \n  17 -> 18 [size =\"13860864\"]\n  18 [size=\"44843520\", alpha=\"0.08\", expect_size=\"17937408\"] \n  18 -> 19 [size =\"17937408\"]\n  19 [size=\"91304960\", alpha=\"0.07\", expect_size=\"36521984\"] \n  19 -> 20 [size =\"36521984\"]\n  20 [size=\"70471680\", alpha=\"0.11\", expect_size=\"28188672\"] \n  20 -> 21 [size =\"28188672\"]\n  21 [size=\"43627520\", alpha=\"0.03\", expect_size=\"17451008\"] \n  21 -> 22 [size =\"17451008\"]\n  22 [size=\"57180160\", alpha=\"0.15\", expect_size=\"22872064\"] \n  22 -> 23 [size =\"22872064\"]\n  23 [size=\"61852160\", alpha=\"0.20\", expect_size=\"24740864\"] \n  23 -> 24 [size =\"24740864\"]\n  24 [size=\"120614400\", alpha=\"0.11\", expect_size=\"48245760\"] \n  24 -> 25 [size =\"48245760\"]\n  25 [size=\"114557440\", alpha=\"0.15\", expect_size=\"45822976\"] \n  25 -> 26 [size =\"45822976\"]\n  26 [size=\"81500160\", alpha=\"0.10\", expect_size=\"32600064\"] \n  26 -> 27 [size =\"32600064\"]\n  27 [size=\"64202240\", alpha=\"0.08\", expect_size=\"25680896\"] \n  27 -> 28 [size =\"25680896\"]\n  28 [size=\"43919360\", alpha=\"0.16\", expect_size=\"17567744\"] \n  28 -> 29 [size =\"17567744\"]\n  29 [size=\"89533440\", alpha=\"0.19\", expect_size=\"35813376\"] \n  29 -> 30 [size =\"35813376\"]\n  30 [size=\"129594880\", alpha=\"0.06\", expect_size=\"51837952\"] \n  30 -> 31 [size =\"51837952\"]\n  31 [size=\"78865920\", alpha=\"0.12\", expect_size=\"31546368\"] \n  31 -> 32 [size =\"31546368\"]\n  32 [size=\"95178240\", alpha=\"0.13\", expect_size=\"38071296\"] \n  32 -> 33 [size =\"38071296\"]\n  33 [size=\"65438720\", alpha=\"0.07\", expect_size=\"26175488\"] \n  33 -> 34 [size =\"26175488\"]\n  34 [size=\"64174080\", alpha=\"0.07\", expect_size=\"25669632\"] \n  34 -> 35 [size =\"25669632\"]\n  35 [size=\"126855680\", alpha=\"0.18\", expect_size=\"50742272\"] \n  35 -> 36 [size =\"50742272\"]\n  36 [size=\"98419200\", alpha=\"0.11\", expect_size=\"39367680\"] \n  36 -> 37 [size =\"39367680\"]\n  37 [size=\"41610240\", alpha=\"0.08\", expect_size=\"16644096\"] \n  37 -> 38 [size =\"16644096\"]\n  38 [size=\"90078720\", alpha=\"0.11\", expect_size=\"36031488\"] \n  38 -> 39 [size =\"36031488\"]\n  39 [size=\"66017280\", alpha=\"0.06\", expect_size=\"26406912\"] \n  39 -> 40 [size =\"26406912\"]\n  40 [size=\"62056960\", alpha=\"0.12\", expect_size=\"24822784\"] \n  40 -> 41 [size =\"24822784\"]\n  41 [size=\"94679040\", alpha=\"0.02\", expect_size=\"37871616\"] \n  41 -> 42 [size =\"37871616\"]\n  42 [size=\"50004480\", alpha=\"0.20\", expect_size=\"20001792\"] \n  42 -> 43 [size =\"20001792\"]\n  43 [size=\"127011840\", alpha=\"0.06\", expect_size=\"50804736\"] \n  43 -> 44 [size =\"50804736\"]\n  44 [size=\"49259520\", alpha=\"0.11\", expect_size=\"19703808\"] \n  44 -> 45 [size =\"19703808\"]\n  45 [size=\"93304320\", alpha=\"0.12\", expect_size=\"37321728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142288213\", alpha=\"0.14\", expect_size=\"42686464\"] \n  1 -> 7 [size =\"42686464\"]\n  1 -> 8 [size =\"42686464\"]\n  1 -> 10 [size =\"42686464\"]\n  2 [size=\"68502187\", alpha=\"0.01\", expect_size=\"20550656\"] \n  2 -> 7 [size =\"20550656\"]\n  3 [size=\"67034453\", alpha=\"0.15\", expect_size=\"20110336\"] \n  3 -> 9 [size =\"20110336\"]\n  4 [size=\"91600213\", alpha=\"0.05\", expect_size=\"27480064\"] \n  4 -> 7 [size =\"27480064\"]\n  4 -> 10 [size =\"27480064\"]\n  5 [size=\"118889813\", alpha=\"0.08\", expect_size=\"35666944\"] \n  5 -> 6 [size =\"35666944\"]\n  5 -> 10 [size =\"35666944\"]\n  6 [size=\"167458133\", alpha=\"0.16\", expect_size=\"50237440\"] \n  6 -> 15 [size =\"50237440\"]\n  7 [size=\"129696427\", alpha=\"0.19\", expect_size=\"38908928\"] \n  7 -> 12 [size =\"38908928\"]\n  7 -> 14 [size =\"38908928\"]\n  8 [size=\"111172267\", alpha=\"0.01\", expect_size=\"33351680\"] \n  8 -> 15 [size =\"33351680\"]\n  9 [size=\"124180480\", alpha=\"0.03\", expect_size=\"37254144\"] \n  9 -> 12 [size =\"37254144\"]\n  9 -> 13 [size =\"37254144\"]\n  9 -> 15 [size =\"37254144\"]\n  10 [size=\"74301440\", alpha=\"0.04\", expect_size=\"22290432\"] \n  10 -> 11 [size =\"22290432\"]\n  10 -> 12 [size =\"22290432\"]\n  10 -> 13 [size =\"22290432\"]\n  10 -> 14 [size =\"22290432\"]\n  11 [size=\"61593600\", alpha=\"0.15\", expect_size=\"18478080\"] \n  11 -> 17 [size =\"18478080\"]\n  11 -> 18 [size =\"18478080\"]\n  11 -> 20 [size =\"18478080\"]\n  12 [size=\"172356267\", alpha=\"0.08\", expect_size=\"51706880\"] \n  12 -> 19 [size =\"51706880\"]\n  13 [size=\"21387947\", alpha=\"0.11\", expect_size=\"6416384\"] \n  13 -> 16 [size =\"6416384\"]\n  13 -> 17 [size =\"6416384\"]\n  13 -> 18 [size =\"6416384\"]\n  13 -> 20 [size =\"6416384\"]\n  14 [size=\"135843840\", alpha=\"0.04\", expect_size=\"40753152\"] \n  14 -> 17 [size =\"40753152\"]\n  14 -> 18 [size =\"40753152\"]\n  14 -> 19 [size =\"40753152\"]\n  14 -> 20 [size =\"40753152\"]\n  15 [size=\"172004693\", alpha=\"0.06\", expect_size=\"51601408\"] \n  15 -> 16 [size =\"51601408\"]\n  15 -> 19 [size =\"51601408\"]\n  16 [size=\"78417920\", alpha=\"0.05\", expect_size=\"23525376\"] \n  16 -> 23 [size =\"23525376\"]\n  17 [size=\"46493013\", alpha=\"0.18\", expect_size=\"13947904\"] \n  17 -> 21 [size =\"13947904\"]\n  17 -> 22 [size =\"13947904\"]\n  17 -> 23 [size =\"13947904\"]\n  18 [size=\"41096533\", alpha=\"0.14\", expect_size=\"12328960\"] \n  18 -> 23 [size =\"12328960\"]\n  19 [size=\"48223573\", alpha=\"0.16\", expect_size=\"14467072\"] \n  20 [size=\"75110400\", alpha=\"0.18\", expect_size=\"22533120\"] \n  20 -> 24 [size =\"22533120\"]\n  20 -> 25 [size =\"22533120\"]\n  21 [size=\"105441280\", alpha=\"0.15\", expect_size=\"31632384\"] \n  21 -> 27 [size =\"31632384\"]\n  21 -> 28 [size =\"31632384\"]\n  21 -> 29 [size =\"31632384\"]\n  21 -> 31 [size =\"31632384\"]\n  22 [size=\"69713920\", alpha=\"0.19\", expect_size=\"20914176\"] \n  22 -> 30 [size =\"20914176\"]\n  23 [size=\"135208960\", alpha=\"0.09\", expect_size=\"40562688\"] \n  23 -> 26 [size =\"40562688\"]\n  24 [size=\"62351360\", alpha=\"0.09\", expect_size=\"18705408\"] \n  24 -> 27 [size =\"18705408\"]\n  24 -> 30 [size =\"18705408\"]\n  25 [size=\"90470400\", alpha=\"0.02\", expect_size=\"27141120\"] \n  25 -> 27 [size =\"27141120\"]\n  25 -> 28 [size =\"27141120\"]\n  25 -> 30 [size =\"27141120\"]\n  26 [size=\"138243413\", alpha=\"0.13\", expect_size=\"41473024\"] \n  26 -> 34 [size =\"41473024\"]\n  27 [size=\"174643200\", alpha=\"0.19\", expect_size=\"52392960\"] \n  28 [size=\"158931627\", alpha=\"0.17\", expect_size=\"47679488\"] \n  28 -> 33 [size =\"47679488\"]\n  28 -> 34 [size =\"47679488\"]\n  28 -> 36 [size =\"47679488\"]\n  29 [size=\"115182933\", alpha=\"0.09\", expect_size=\"34554880\"] \n  29 -> 35 [size =\"34554880\"]\n  29 -> 36 [size =\"34554880\"]\n  30 [size=\"84923733\", alpha=\"0.07\", expect_size=\"25477120\"] \n  30 -> 32 [size =\"25477120\"]\n  30 -> 33 [size =\"25477120\"]\n  30 -> 34 [size =\"25477120\"]\n  30 -> 36 [size =\"25477120\"]\n  31 [size=\"67252907\", alpha=\"0.11\", expect_size=\"20175872\"] \n  31 -> 32 [size =\"20175872\"]\n  31 -> 33 [size =\"20175872\"]\n  31 -> 37 [size =\"20175872\"]\n  32 [size=\"29709653\", alpha=\"0.15\", expect_size=\"8912896\"] \n  32 -> 40 [size =\"8912896\"]\n  32 -> 41 [size =\"8912896\"]\n  33 [size=\"23309653\", alpha=\"0.20\", expect_size=\"6992896\"] \n  33 -> 41 [size =\"6992896\"]\n  33 -> 42 [size =\"6992896\"]\n  34 [size=\"97621333\", alpha=\"0.19\", expect_size=\"29286400\"] \n  34 -> 40 [size =\"29286400\"]\n  34 -> 41 [size =\"29286400\"]\n  35 [size=\"169478827\", alpha=\"0.18\", expect_size=\"50843648\"] \n  35 -> 40 [size =\"50843648\"]\n  36 [size=\"25726293\", alpha=\"0.05\", expect_size=\"7717888\"] \n  36 -> 38 [size =\"7717888\"]\n  36 -> 41 [size =\"7717888\"]\n  37 [size=\"130921813\", alpha=\"0.16\", expect_size=\"39276544\"] \n  37 -> 39 [size =\"39276544\"]\n  38 [size=\"125426347\", alpha=\"0.09\", expect_size=\"37627904\"] \n  38 -> 45 [size =\"37627904\"]\n  39 [size=\"102935893\", alpha=\"0.07\", expect_size=\"30880768\"] \n  39 -> 44 [size =\"30880768\"]\n  40 [size=\"170161493\", alpha=\"0.12\", expect_size=\"51048448\"] \n  40 -> 43 [size =\"51048448\"]\n  41 [size=\"69348693\", alpha=\"0.08\", expect_size=\"20804608\"] \n  41 -> 43 [size =\"20804608\"]\n  41 -> 44 [size =\"20804608\"]\n  42 [size=\"159197867\", alpha=\"0.10\", expect_size=\"47759360\"] \n  42 -> 43 [size =\"47759360\"]\n  42 -> 45 [size =\"47759360\"]\n  43 [size=\"122726400\", alpha=\"0.08\", expect_size=\"36817920\"] \n  44 [size=\"121135787\", alpha=\"0.11\", expect_size=\"36340736\"] \n  45 [size=\"115503787\", alpha=\"0.04\", expect_size=\"34651136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13041664\", alpha=\"0.12\", expect_size=\"6520832\"] \n  1 -> 8 [size =\"6520832\"]\n  1 -> 9 [size =\"6520832\"]\n  1 -> 10 [size =\"6520832\"]\n  2 [size=\"59994112\", alpha=\"0.15\", expect_size=\"29997056\"] \n  2 -> 9 [size =\"29997056\"]\n  2 -> 10 [size =\"29997056\"]\n  3 [size=\"12341248\", alpha=\"0.20\", expect_size=\"6170624\"] \n  3 -> 7 [size =\"6170624\"]\n  3 -> 8 [size =\"6170624\"]\n  3 -> 9 [size =\"6170624\"]\n  3 -> 10 [size =\"6170624\"]\n  4 [size=\"34273280\", alpha=\"0.09\", expect_size=\"17136640\"] \n  4 -> 6 [size =\"17136640\"]\n  4 -> 7 [size =\"17136640\"]\n  4 -> 9 [size =\"17136640\"]\n  4 -> 10 [size =\"17136640\"]\n  4 -> 11 [size =\"17136640\"]\n  5 [size=\"45395968\", alpha=\"0.10\", expect_size=\"22697984\"] \n  5 -> 7 [size =\"22697984\"]\n  5 -> 10 [size =\"22697984\"]\n  6 [size=\"23867392\", alpha=\"0.07\", expect_size=\"11933696\"] \n  6 -> 12 [size =\"11933696\"]\n  6 -> 13 [size =\"11933696\"]\n  6 -> 15 [size =\"11933696\"]\n  6 -> 16 [size =\"11933696\"]\n  7 [size=\"77506560\", alpha=\"0.17\", expect_size=\"38753280\"] \n  7 -> 12 [size =\"38753280\"]\n  7 -> 13 [size =\"38753280\"]\n  7 -> 14 [size =\"38753280\"]\n  7 -> 15 [size =\"38753280\"]\n  7 -> 16 [size =\"38753280\"]\n  8 [size=\"65755136\", alpha=\"0.04\", expect_size=\"32877568\"] \n  8 -> 12 [size =\"32877568\"]\n  8 -> 13 [size =\"32877568\"]\n  8 -> 14 [size =\"32877568\"]\n  8 -> 16 [size =\"32877568\"]\n  9 [size=\"56694784\", alpha=\"0.02\", expect_size=\"28347392\"] \n  9 -> 12 [size =\"28347392\"]\n  9 -> 13 [size =\"28347392\"]\n  9 -> 16 [size =\"28347392\"]\n  10 [size=\"55879680\", alpha=\"0.06\", expect_size=\"27939840\"] \n  10 -> 12 [size =\"27939840\"]\n  10 -> 14 [size =\"27939840\"]\n  10 -> 16 [size =\"27939840\"]\n  11 [size=\"18962432\", alpha=\"0.05\", expect_size=\"9481216\"] \n  11 -> 12 [size =\"9481216\"]\n  11 -> 13 [size =\"9481216\"]\n  11 -> 14 [size =\"9481216\"]\n  11 -> 15 [size =\"9481216\"]\n  12 [size=\"75096064\", alpha=\"0.08\", expect_size=\"37548032\"] \n  12 -> 17 [size =\"37548032\"]\n  12 -> 19 [size =\"37548032\"]\n  12 -> 21 [size =\"37548032\"]\n  13 [size=\"50720768\", alpha=\"0.02\", expect_size=\"25360384\"] \n  13 -> 17 [size =\"25360384\"]\n  13 -> 18 [size =\"25360384\"]\n  13 -> 19 [size =\"25360384\"]\n  14 [size=\"48517120\", alpha=\"0.09\", expect_size=\"24258560\"] \n  14 -> 19 [size =\"24258560\"]\n  14 -> 22 [size =\"24258560\"]\n  15 [size=\"91621376\", alpha=\"0.04\", expect_size=\"45810688\"] \n  15 -> 17 [size =\"45810688\"]\n  15 -> 18 [size =\"45810688\"]\n  15 -> 19 [size =\"45810688\"]\n  15 -> 20 [size =\"45810688\"]\n  16 [size=\"46247936\", alpha=\"0.02\", expect_size=\"23123968\"] \n  16 -> 17 [size =\"23123968\"]\n  16 -> 18 [size =\"23123968\"]\n  16 -> 19 [size =\"23123968\"]\n  17 [size=\"81348608\", alpha=\"0.14\", expect_size=\"40674304\"] \n  17 -> 25 [size =\"40674304\"]\n  17 -> 26 [size =\"40674304\"]\n  17 -> 27 [size =\"40674304\"]\n  18 [size=\"65841152\", alpha=\"0.10\", expect_size=\"32920576\"] \n  18 -> 26 [size =\"32920576\"]\n  18 -> 27 [size =\"32920576\"]\n  18 -> 27 [size =\"32920576\"]\n  19 [size=\"84809728\", alpha=\"0.10\", expect_size=\"42404864\"] \n  19 -> 23 [size =\"42404864\"]\n  19 -> 25 [size =\"42404864\"]\n  19 -> 27 [size =\"42404864\"]\n  20 [size=\"94226432\", alpha=\"0.02\", expect_size=\"47113216\"] \n  20 -> 23 [size =\"47113216\"]\n  20 -> 25 [size =\"47113216\"]\n  20 -> 26 [size =\"47113216\"]\n  20 -> 27 [size =\"47113216\"]\n  20 -> 28 [size =\"47113216\"]\n  21 [size=\"29081600\", alpha=\"0.15\", expect_size=\"14540800\"] \n  21 -> 23 [size =\"14540800\"]\n  21 -> 24 [size =\"14540800\"]\n  21 -> 25 [size =\"14540800\"]\n  21 -> 27 [size =\"14540800\"]\n  22 [size=\"54089728\", alpha=\"0.18\", expect_size=\"27044864\"] \n  22 -> 23 [size =\"27044864\"]\n  22 -> 24 [size =\"27044864\"]\n  22 -> 25 [size =\"27044864\"]\n  23 [size=\"90243072\", alpha=\"0.02\", expect_size=\"45121536\"] \n  23 -> 31 [size =\"45121536\"]\n  23 -> 32 [size =\"45121536\"]\n  24 [size=\"100345856\", alpha=\"0.10\", expect_size=\"50172928\"] \n  24 -> 30 [size =\"50172928\"]\n  24 -> 32 [size =\"50172928\"]\n  24 -> 33 [size =\"50172928\"]\n  25 [size=\"48707584\", alpha=\"0.07\", expect_size=\"24353792\"] \n  25 -> 29 [size =\"24353792\"]\n  25 -> 30 [size =\"24353792\"]\n  25 -> 31 [size =\"24353792\"]\n  25 -> 32 [size =\"24353792\"]\n  26 [size=\"66861056\", alpha=\"0.06\", expect_size=\"33430528\"] \n  26 -> 30 [size =\"33430528\"]\n  26 -> 31 [size =\"33430528\"]\n  26 -> 32 [size =\"33430528\"]\n  26 -> 33 [size =\"33430528\"]\n  27 [size=\"75309056\", alpha=\"0.19\", expect_size=\"37654528\"] \n  27 -> 29 [size =\"37654528\"]\n  27 -> 30 [size =\"37654528\"]\n  27 -> 31 [size =\"37654528\"]\n  27 -> 32 [size =\"37654528\"]\n  27 -> 33 [size =\"37654528\"]\n  27 -> 34 [size =\"37654528\"]\n  28 [size=\"44752896\", alpha=\"0.04\", expect_size=\"22376448\"] \n  28 -> 29 [size =\"22376448\"]\n  28 -> 30 [size =\"22376448\"]\n  28 -> 31 [size =\"22376448\"]\n  28 -> 33 [size =\"22376448\"]\n  29 [size=\"90417152\", alpha=\"0.18\", expect_size=\"45208576\"] \n  29 -> 35 [size =\"45208576\"]\n  29 -> 36 [size =\"45208576\"]\n  29 -> 37 [size =\"45208576\"]\n  30 [size=\"41054208\", alpha=\"0.03\", expect_size=\"20527104\"] \n  30 -> 35 [size =\"20527104\"]\n  30 -> 36 [size =\"20527104\"]\n  30 -> 38 [size =\"20527104\"]\n  31 [size=\"49700864\", alpha=\"0.09\", expect_size=\"24850432\"] \n  31 -> 35 [size =\"24850432\"]\n  31 -> 38 [size =\"24850432\"]\n  31 -> 38 [size =\"24850432\"]\n  32 [size=\"24547328\", alpha=\"0.09\", expect_size=\"12273664\"] \n  32 -> 35 [size =\"12273664\"]\n  32 -> 36 [size =\"12273664\"]\n  32 -> 38 [size =\"12273664\"]\n  33 [size=\"15099904\", alpha=\"0.17\", expect_size=\"7549952\"] \n  33 -> 35 [size =\"7549952\"]\n  33 -> 36 [size =\"7549952\"]\n  34 [size=\"23214080\", alpha=\"0.13\", expect_size=\"11607040\"] \n  34 -> 36 [size =\"11607040\"]\n  34 -> 38 [size =\"11607040\"]\n  34 -> 39 [size =\"11607040\"]\n  35 [size=\"72681472\", alpha=\"0.07\", expect_size=\"36340736\"] \n  35 -> 40 [size =\"36340736\"]\n  35 -> 41 [size =\"36340736\"]\n  35 -> 42 [size =\"36340736\"]\n  35 -> 45 [size =\"36340736\"]\n  36 [size=\"104042496\", alpha=\"0.08\", expect_size=\"52021248\"] \n  36 -> 40 [size =\"52021248\"]\n  36 -> 41 [size =\"52021248\"]\n  36 -> 42 [size =\"52021248\"]\n  36 -> 43 [size =\"52021248\"]\n  36 -> 44 [size =\"52021248\"]\n  36 -> 45 [size =\"52021248\"]\n  37 [size=\"36306944\", alpha=\"0.04\", expect_size=\"18153472\"] \n  37 -> 40 [size =\"18153472\"]\n  37 -> 41 [size =\"18153472\"]\n  37 -> 45 [size =\"18153472\"]\n  38 [size=\"30867456\", alpha=\"0.12\", expect_size=\"15433728\"] \n  38 -> 41 [size =\"15433728\"]\n  38 -> 41 [size =\"15433728\"]\n  38 -> 43 [size =\"15433728\"]\n  38 -> 44 [size =\"15433728\"]\n  38 -> 45 [size =\"15433728\"]\n  39 [size=\"48623616\", alpha=\"0.16\", expect_size=\"24311808\"] \n  39 -> 40 [size =\"24311808\"]\n  39 -> 43 [size =\"24311808\"]\n  39 -> 43 [size =\"24311808\"]\n  39 -> 45 [size =\"24311808\"]\n  40 [size=\"41414656\", alpha=\"0.18\", expect_size=\"20707328\"] \n  41 [size=\"54634496\", alpha=\"0.03\", expect_size=\"27317248\"] \n  42 [size=\"96757760\", alpha=\"0.18\", expect_size=\"48378880\"] \n  43 [size=\"43657216\", alpha=\"0.09\", expect_size=\"21828608\"] \n  44 [size=\"29937664\", alpha=\"0.20\", expect_size=\"14968832\"] \n  45 [size=\"93632512\", alpha=\"0.18\", expect_size=\"46816256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96763904\", alpha=\"0.06\", expect_size=\"48381952\"] \n  1 -> 2 [size =\"48381952\"]\n  2 [size=\"29413376\", alpha=\"0.12\", expect_size=\"14706688\"] \n  2 -> 3 [size =\"14706688\"]\n  3 [size=\"78608384\", alpha=\"0.11\", expect_size=\"39304192\"] \n  3 -> 4 [size =\"39304192\"]\n  4 [size=\"21198848\", alpha=\"0.17\", expect_size=\"10599424\"] \n  4 -> 5 [size =\"10599424\"]\n  5 [size=\"81453056\", alpha=\"0.08\", expect_size=\"40726528\"] \n  5 -> 6 [size =\"40726528\"]\n  6 [size=\"55351296\", alpha=\"0.10\", expect_size=\"27675648\"] \n  6 -> 7 [size =\"27675648\"]\n  7 [size=\"51105792\", alpha=\"0.13\", expect_size=\"25552896\"] \n  7 -> 8 [size =\"25552896\"]\n  8 [size=\"80936960\", alpha=\"0.15\", expect_size=\"40468480\"] \n  8 -> 9 [size =\"40468480\"]\n  9 [size=\"82532352\", alpha=\"0.19\", expect_size=\"41266176\"] \n  9 -> 10 [size =\"41266176\"]\n  10 [size=\"95074304\", alpha=\"0.12\", expect_size=\"47537152\"] \n  10 -> 11 [size =\"47537152\"]\n  11 [size=\"93261824\", alpha=\"0.18\", expect_size=\"46630912\"] \n  11 -> 12 [size =\"46630912\"]\n  12 [size=\"29446144\", alpha=\"0.18\", expect_size=\"14723072\"] \n  12 -> 13 [size =\"14723072\"]\n  13 [size=\"86820864\", alpha=\"0.16\", expect_size=\"43410432\"] \n  13 -> 14 [size =\"43410432\"]\n  14 [size=\"43159552\", alpha=\"0.11\", expect_size=\"21579776\"] \n  14 -> 15 [size =\"21579776\"]\n  15 [size=\"31211520\", alpha=\"0.05\", expect_size=\"15605760\"] \n  15 -> 16 [size =\"15605760\"]\n  16 [size=\"69038080\", alpha=\"0.01\", expect_size=\"34519040\"] \n  16 -> 17 [size =\"34519040\"]\n  17 [size=\"22966272\", alpha=\"0.04\", expect_size=\"11483136\"] \n  17 -> 18 [size =\"11483136\"]\n  18 [size=\"85592064\", alpha=\"0.04\", expect_size=\"42796032\"] \n  18 -> 19 [size =\"42796032\"]\n  19 [size=\"61964288\", alpha=\"0.16\", expect_size=\"30982144\"] \n  19 -> 20 [size =\"30982144\"]\n  20 [size=\"58490880\", alpha=\"0.16\", expect_size=\"29245440\"] \n  20 -> 21 [size =\"29245440\"]\n  21 [size=\"20838400\", alpha=\"0.15\", expect_size=\"10419200\"] \n  21 -> 22 [size =\"10419200\"]\n  22 [size=\"104505344\", alpha=\"0.17\", expect_size=\"52252672\"] \n  22 -> 23 [size =\"52252672\"]\n  23 [size=\"96004096\", alpha=\"0.14\", expect_size=\"48002048\"] \n  23 -> 24 [size =\"48002048\"]\n  24 [size=\"76021760\", alpha=\"0.13\", expect_size=\"38010880\"] \n  24 -> 25 [size =\"38010880\"]\n  25 [size=\"31815680\", alpha=\"0.07\", expect_size=\"15907840\"] \n  25 -> 26 [size =\"15907840\"]\n  26 [size=\"56647680\", alpha=\"0.11\", expect_size=\"28323840\"] \n  26 -> 27 [size =\"28323840\"]\n  27 [size=\"61093888\", alpha=\"0.03\", expect_size=\"30546944\"] \n  27 -> 28 [size =\"30546944\"]\n  28 [size=\"77789184\", alpha=\"0.10\", expect_size=\"38894592\"] \n  28 -> 29 [size =\"38894592\"]\n  29 [size=\"98437120\", alpha=\"0.12\", expect_size=\"49218560\"] \n  29 -> 30 [size =\"49218560\"]\n  30 [size=\"80934912\", alpha=\"0.13\", expect_size=\"40467456\"] \n  30 -> 31 [size =\"40467456\"]\n  31 [size=\"63637504\", alpha=\"0.10\", expect_size=\"31818752\"] \n  31 -> 32 [size =\"31818752\"]\n  32 [size=\"38453248\", alpha=\"0.12\", expect_size=\"19226624\"] \n  32 -> 33 [size =\"19226624\"]\n  33 [size=\"24311808\", alpha=\"0.10\", expect_size=\"12155904\"] \n  33 -> 34 [size =\"12155904\"]\n  34 [size=\"89335808\", alpha=\"0.15\", expect_size=\"44667904\"] \n  34 -> 35 [size =\"44667904\"]\n  35 [size=\"55496704\", alpha=\"0.05\", expect_size=\"27748352\"] \n  35 -> 36 [size =\"27748352\"]\n  36 [size=\"88131584\", alpha=\"0.07\", expect_size=\"44065792\"] \n  36 -> 37 [size =\"44065792\"]\n  37 [size=\"43364352\", alpha=\"0.11\", expect_size=\"21682176\"] \n  37 -> 38 [size =\"21682176\"]\n  38 [size=\"56188928\", alpha=\"0.11\", expect_size=\"28094464\"] \n  38 -> 39 [size =\"28094464\"]\n  39 [size=\"102684672\", alpha=\"0.03\", expect_size=\"51342336\"] \n  39 -> 40 [size =\"51342336\"]\n  40 [size=\"66156544\", alpha=\"0.04\", expect_size=\"33078272\"] \n  40 -> 41 [size =\"33078272\"]\n  41 [size=\"31193088\", alpha=\"0.08\", expect_size=\"15596544\"] \n  41 -> 42 [size =\"15596544\"]\n  42 [size=\"80572416\", alpha=\"0.11\", expect_size=\"40286208\"] \n  42 -> 43 [size =\"40286208\"]\n  43 [size=\"44511232\", alpha=\"0.13\", expect_size=\"22255616\"] \n  43 -> 44 [size =\"22255616\"]\n  44 [size=\"93720576\", alpha=\"0.09\", expect_size=\"46860288\"] \n  44 -> 45 [size =\"46860288\"]\n  45 [size=\"72128512\", alpha=\"0.09\", expect_size=\"36064256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29591040\", alpha=\"0.05\", expect_size=\"11836416\"] \n  1 -> 2 [size =\"11836416\"]\n  2 [size=\"126323200\", alpha=\"0.07\", expect_size=\"50529280\"] \n  2 -> 3 [size =\"50529280\"]\n  3 [size=\"28659200\", alpha=\"0.04\", expect_size=\"11463680\"] \n  3 -> 4 [size =\"11463680\"]\n  4 [size=\"104289280\", alpha=\"0.10\", expect_size=\"41715712\"] \n  4 -> 5 [size =\"41715712\"]\n  5 [size=\"53163520\", alpha=\"0.05\", expect_size=\"21265408\"] \n  5 -> 6 [size =\"21265408\"]\n  6 [size=\"95779840\", alpha=\"0.05\", expect_size=\"38311936\"] \n  6 -> 7 [size =\"38311936\"]\n  7 [size=\"86453760\", alpha=\"0.09\", expect_size=\"34581504\"] \n  7 -> 8 [size =\"34581504\"]\n  8 [size=\"104432640\", alpha=\"0.17\", expect_size=\"41773056\"] \n  8 -> 9 [size =\"41773056\"]\n  9 [size=\"39086080\", alpha=\"0.00\", expect_size=\"15634432\"] \n  9 -> 10 [size =\"15634432\"]\n  10 [size=\"108014080\", alpha=\"0.18\", expect_size=\"43205632\"] \n  10 -> 11 [size =\"43205632\"]\n  11 [size=\"53726720\", alpha=\"0.08\", expect_size=\"21490688\"] \n  11 -> 12 [size =\"21490688\"]\n  12 [size=\"83325440\", alpha=\"0.10\", expect_size=\"33330176\"] \n  12 -> 13 [size =\"33330176\"]\n  13 [size=\"126348800\", alpha=\"0.01\", expect_size=\"50539520\"] \n  13 -> 14 [size =\"50539520\"]\n  14 [size=\"32793600\", alpha=\"0.19\", expect_size=\"13117440\"] \n  14 -> 15 [size =\"13117440\"]\n  15 [size=\"92989440\", alpha=\"0.15\", expect_size=\"37195776\"] \n  15 -> 16 [size =\"37195776\"]\n  16 [size=\"120514560\", alpha=\"0.07\", expect_size=\"48205824\"] \n  16 -> 17 [size =\"48205824\"]\n  17 [size=\"33067520\", alpha=\"0.03\", expect_size=\"13227008\"] \n  17 -> 18 [size =\"13227008\"]\n  18 [size=\"88240640\", alpha=\"0.13\", expect_size=\"35296256\"] \n  18 -> 19 [size =\"35296256\"]\n  19 [size=\"68894720\", alpha=\"0.02\", expect_size=\"27557888\"] \n  19 -> 20 [size =\"27557888\"]\n  20 [size=\"69455360\", alpha=\"0.14\", expect_size=\"27782144\"] \n  20 -> 21 [size =\"27782144\"]\n  21 [size=\"58224640\", alpha=\"0.09\", expect_size=\"23289856\"] \n  21 -> 22 [size =\"23289856\"]\n  22 [size=\"102694400\", alpha=\"0.03\", expect_size=\"41077760\"] \n  22 -> 23 [size =\"41077760\"]\n  23 [size=\"41313280\", alpha=\"0.00\", expect_size=\"16525312\"] \n  23 -> 24 [size =\"16525312\"]\n  24 [size=\"47603200\", alpha=\"0.13\", expect_size=\"19041280\"] \n  24 -> 25 [size =\"19041280\"]\n  25 [size=\"42895360\", alpha=\"0.12\", expect_size=\"17158144\"] \n  25 -> 26 [size =\"17158144\"]\n  26 [size=\"14200320\", alpha=\"0.05\", expect_size=\"5680128\"] \n  26 -> 27 [size =\"5680128\"]\n  27 [size=\"55544320\", alpha=\"0.10\", expect_size=\"22217728\"] \n  27 -> 28 [size =\"22217728\"]\n  28 [size=\"72307200\", alpha=\"0.11\", expect_size=\"28922880\"] \n  28 -> 29 [size =\"28922880\"]\n  29 [size=\"30108160\", alpha=\"0.17\", expect_size=\"12043264\"] \n  29 -> 30 [size =\"12043264\"]\n  30 [size=\"42705920\", alpha=\"0.18\", expect_size=\"17082368\"] \n  30 -> 31 [size =\"17082368\"]\n  31 [size=\"127129600\", alpha=\"0.06\", expect_size=\"50851840\"] \n  31 -> 32 [size =\"50851840\"]\n  32 [size=\"63936000\", alpha=\"0.07\", expect_size=\"25574400\"] \n  32 -> 33 [size =\"25574400\"]\n  33 [size=\"84305920\", alpha=\"0.06\", expect_size=\"33722368\"] \n  33 -> 34 [size =\"33722368\"]\n  34 [size=\"85829120\", alpha=\"0.09\", expect_size=\"34331648\"] \n  34 -> 35 [size =\"34331648\"]\n  35 [size=\"41722880\", alpha=\"0.05\", expect_size=\"16689152\"] \n  35 -> 36 [size =\"16689152\"]\n  36 [size=\"110010880\", alpha=\"0.20\", expect_size=\"44004352\"] \n  36 -> 37 [size =\"44004352\"]\n  37 [size=\"19466240\", alpha=\"0.18\", expect_size=\"7786496\"] \n  37 -> 38 [size =\"7786496\"]\n  38 [size=\"79372800\", alpha=\"0.09\", expect_size=\"31749120\"] \n  38 -> 39 [size =\"31749120\"]\n  39 [size=\"27161600\", alpha=\"0.09\", expect_size=\"10864640\"] \n  39 -> 40 [size =\"10864640\"]\n  40 [size=\"124741120\", alpha=\"0.18\", expect_size=\"49896448\"] \n  40 -> 41 [size =\"49896448\"]\n  41 [size=\"113126400\", alpha=\"0.16\", expect_size=\"45250560\"] \n  41 -> 42 [size =\"45250560\"]\n  42 [size=\"32936960\", alpha=\"0.08\", expect_size=\"13174784\"] \n  42 -> 43 [size =\"13174784\"]\n  43 [size=\"72355840\", alpha=\"0.06\", expect_size=\"28942336\"] \n  43 -> 44 [size =\"28942336\"]\n  44 [size=\"108700160\", alpha=\"0.09\", expect_size=\"43480064\"] \n  44 -> 45 [size =\"43480064\"]\n  45 [size=\"43688960\", alpha=\"0.17\", expect_size=\"17475584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72019968\", alpha=\"0.01\", expect_size=\"36009984\"] \n  1 -> 4 [size =\"36009984\"]\n  1 -> 5 [size =\"36009984\"]\n  1 -> 8 [size =\"36009984\"]\n  2 [size=\"15499264\", alpha=\"0.20\", expect_size=\"7749632\"] \n  2 -> 4 [size =\"7749632\"]\n  2 -> 5 [size =\"7749632\"]\n  2 -> 6 [size =\"7749632\"]\n  2 -> 8 [size =\"7749632\"]\n  3 [size=\"64043008\", alpha=\"0.10\", expect_size=\"32021504\"] \n  3 -> 6 [size =\"32021504\"]\n  3 -> 7 [size =\"32021504\"]\n  4 [size=\"51032064\", alpha=\"0.11\", expect_size=\"25516032\"] \n  4 -> 11 [size =\"25516032\"]\n  5 [size=\"80207872\", alpha=\"0.16\", expect_size=\"40103936\"] \n  6 [size=\"81403904\", alpha=\"0.15\", expect_size=\"40701952\"] \n  6 -> 9 [size =\"40701952\"]\n  7 [size=\"47835136\", alpha=\"0.10\", expect_size=\"23917568\"] \n  7 -> 10 [size =\"23917568\"]\n  8 [size=\"49426432\", alpha=\"0.10\", expect_size=\"24713216\"] \n  8 -> 10 [size =\"24713216\"]\n  9 [size=\"32538624\", alpha=\"0.19\", expect_size=\"16269312\"] \n  9 -> 12 [size =\"16269312\"]\n  9 -> 15 [size =\"16269312\"]\n  9 -> 16 [size =\"16269312\"]\n  10 [size=\"68204544\", alpha=\"0.16\", expect_size=\"34102272\"] \n  10 -> 13 [size =\"34102272\"]\n  10 -> 14 [size =\"34102272\"]\n  10 -> 17 [size =\"34102272\"]\n  10 -> 18 [size =\"34102272\"]\n  11 [size=\"17770496\", alpha=\"0.16\", expect_size=\"8885248\"] \n  11 -> 13 [size =\"8885248\"]\n  11 -> 14 [size =\"8885248\"]\n  11 -> 15 [size =\"8885248\"]\n  11 -> 17 [size =\"8885248\"]\n  11 -> 18 [size =\"8885248\"]\n  12 [size=\"20475904\", alpha=\"0.16\", expect_size=\"10237952\"] \n  12 -> 20 [size =\"10237952\"]\n  13 [size=\"19054592\", alpha=\"0.02\", expect_size=\"9527296\"] \n  13 -> 20 [size =\"9527296\"]\n  13 -> 21 [size =\"9527296\"]\n  14 [size=\"67090432\", alpha=\"0.09\", expect_size=\"33545216\"] \n  14 -> 19 [size =\"33545216\"]\n  14 -> 20 [size =\"33545216\"]\n  15 [size=\"26472448\", alpha=\"0.06\", expect_size=\"13236224\"] \n  15 -> 20 [size =\"13236224\"]\n  15 -> 20 [size =\"13236224\"]\n  15 -> 21 [size =\"13236224\"]\n  16 [size=\"100100096\", alpha=\"0.15\", expect_size=\"50050048\"] \n  17 [size=\"78006272\", alpha=\"0.15\", expect_size=\"39003136\"] \n  17 -> 21 [size =\"39003136\"]\n  18 [size=\"31825920\", alpha=\"0.02\", expect_size=\"15912960\"] \n  18 -> 21 [size =\"15912960\"]\n  19 [size=\"80181248\", alpha=\"0.11\", expect_size=\"40090624\"] \n  19 -> 22 [size =\"40090624\"]\n  19 -> 23 [size =\"40090624\"]\n  19 -> 24 [size =\"40090624\"]\n  20 [size=\"76353536\", alpha=\"0.07\", expect_size=\"38176768\"] \n  20 -> 22 [size =\"38176768\"]\n  20 -> 23 [size =\"38176768\"]\n  20 -> 25 [size =\"38176768\"]\n  21 [size=\"59357184\", alpha=\"0.17\", expect_size=\"29678592\"] \n  21 -> 22 [size =\"29678592\"]\n  21 -> 25 [size =\"29678592\"]\n  21 -> 26 [size =\"29678592\"]\n  22 [size=\"42016768\", alpha=\"0.07\", expect_size=\"21008384\"] \n  22 -> 29 [size =\"21008384\"]\n  22 -> 30 [size =\"21008384\"]\n  23 [size=\"21807104\", alpha=\"0.09\", expect_size=\"10903552\"] \n  23 -> 27 [size =\"10903552\"]\n  23 -> 30 [size =\"10903552\"]\n  24 [size=\"33484800\", alpha=\"0.20\", expect_size=\"16742400\"] \n  24 -> 27 [size =\"16742400\"]\n  24 -> 28 [size =\"16742400\"]\n  24 -> 30 [size =\"16742400\"]\n  24 -> 31 [size =\"16742400\"]\n  25 [size=\"73875456\", alpha=\"0.05\", expect_size=\"36937728\"] \n  25 -> 27 [size =\"36937728\"]\n  25 -> 30 [size =\"36937728\"]\n  26 [size=\"101861376\", alpha=\"0.06\", expect_size=\"50930688\"] \n  26 -> 28 [size =\"50930688\"]\n  26 -> 31 [size =\"50930688\"]\n  27 [size=\"79712256\", alpha=\"0.14\", expect_size=\"39856128\"] \n  27 -> 32 [size =\"39856128\"]\n  27 -> 35 [size =\"39856128\"]\n  28 [size=\"54597632\", alpha=\"0.10\", expect_size=\"27298816\"] \n  28 -> 36 [size =\"27298816\"]\n  29 [size=\"62605312\", alpha=\"0.12\", expect_size=\"31302656\"] \n  29 -> 33 [size =\"31302656\"]\n  29 -> 34 [size =\"31302656\"]\n  29 -> 35 [size =\"31302656\"]\n  29 -> 36 [size =\"31302656\"]\n  30 [size=\"18388992\", alpha=\"0.05\", expect_size=\"9194496\"] \n  30 -> 32 [size =\"9194496\"]\n  30 -> 35 [size =\"9194496\"]\n  30 -> 36 [size =\"9194496\"]\n  31 [size=\"52101120\", alpha=\"0.00\", expect_size=\"26050560\"] \n  31 -> 32 [size =\"26050560\"]\n  32 [size=\"36534272\", alpha=\"0.17\", expect_size=\"18267136\"] \n  32 -> 37 [size =\"18267136\"]\n  32 -> 40 [size =\"18267136\"]\n  32 -> 43 [size =\"18267136\"]\n  33 [size=\"71073792\", alpha=\"0.16\", expect_size=\"35536896\"] \n  33 -> 37 [size =\"35536896\"]\n  33 -> 38 [size =\"35536896\"]\n  33 -> 40 [size =\"35536896\"]\n  33 -> 42 [size =\"35536896\"]\n  34 [size=\"20535296\", alpha=\"0.07\", expect_size=\"10267648\"] \n  34 -> 37 [size =\"10267648\"]\n  34 -> 40 [size =\"10267648\"]\n  34 -> 41 [size =\"10267648\"]\n  34 -> 42 [size =\"10267648\"]\n  34 -> 43 [size =\"10267648\"]\n  35 [size=\"19838976\", alpha=\"0.01\", expect_size=\"9919488\"] \n  35 -> 42 [size =\"9919488\"]\n  35 -> 43 [size =\"9919488\"]\n  36 [size=\"44333056\", alpha=\"0.15\", expect_size=\"22166528\"] \n  36 -> 37 [size =\"22166528\"]\n  36 -> 38 [size =\"22166528\"]\n  36 -> 39 [size =\"22166528\"]\n  36 -> 40 [size =\"22166528\"]\n  36 -> 42 [size =\"22166528\"]\n  36 -> 43 [size =\"22166528\"]\n  36 -> 44 [size =\"22166528\"]\n  37 [size=\"70565888\", alpha=\"0.02\", expect_size=\"35282944\"] \n  37 -> 45 [size =\"35282944\"]\n  38 [size=\"41517056\", alpha=\"0.14\", expect_size=\"20758528\"] \n  39 [size=\"90499072\", alpha=\"0.01\", expect_size=\"45249536\"] \n  39 -> 45 [size =\"45249536\"]\n  40 [size=\"50821120\", alpha=\"0.02\", expect_size=\"25410560\"] \n  40 -> 45 [size =\"25410560\"]\n  41 [size=\"74575872\", alpha=\"0.13\", expect_size=\"37287936\"] \n  42 [size=\"74678272\", alpha=\"0.11\", expect_size=\"37339136\"] \n  43 [size=\"61118464\", alpha=\"0.11\", expect_size=\"30559232\"] \n  43 -> 45 [size =\"30559232\"]\n  44 [size=\"42467328\", alpha=\"0.17\", expect_size=\"21233664\"] \n  44 -> 45 [size =\"21233664\"]\n  45 [size=\"75327488\", alpha=\"0.15\", expect_size=\"37663744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120845653\", alpha=\"0.17\", expect_size=\"36253696\"] \n  1 -> 14 [size =\"36253696\"]\n  1 -> 16 [size =\"36253696\"]\n  1 -> 17 [size =\"36253696\"]\n  1 -> 23 [size =\"36253696\"]\n  1 -> 24 [size =\"36253696\"]\n  1 -> 25 [size =\"36253696\"]\n  2 [size=\"90562560\", alpha=\"0.13\", expect_size=\"27168768\"] \n  2 -> 14 [size =\"27168768\"]\n  2 -> 16 [size =\"27168768\"]\n  2 -> 24 [size =\"27168768\"]\n  3 [size=\"154603520\", alpha=\"0.10\", expect_size=\"46381056\"] \n  3 -> 14 [size =\"46381056\"]\n  3 -> 16 [size =\"46381056\"]\n  3 -> 18 [size =\"46381056\"]\n  3 -> 23 [size =\"46381056\"]\n  3 -> 27 [size =\"46381056\"]\n  4 [size=\"160648533\", alpha=\"0.12\", expect_size=\"48194560\"] \n  4 -> 13 [size =\"48194560\"]\n  4 -> 15 [size =\"48194560\"]\n  4 -> 16 [size =\"48194560\"]\n  4 -> 19 [size =\"48194560\"]\n  4 -> 22 [size =\"48194560\"]\n  4 -> 23 [size =\"48194560\"]\n  5 [size=\"135652693\", alpha=\"0.07\", expect_size=\"40695808\"] \n  5 -> 13 [size =\"40695808\"]\n  5 -> 15 [size =\"40695808\"]\n  5 -> 17 [size =\"40695808\"]\n  5 -> 18 [size =\"40695808\"]\n  5 -> 23 [size =\"40695808\"]\n  5 -> 24 [size =\"40695808\"]\n  5 -> 27 [size =\"40695808\"]\n  6 [size=\"146141867\", alpha=\"0.02\", expect_size=\"43842560\"] \n  6 -> 12 [size =\"43842560\"]\n  6 -> 16 [size =\"43842560\"]\n  6 -> 17 [size =\"43842560\"]\n  6 -> 20 [size =\"43842560\"]\n  6 -> 22 [size =\"43842560\"]\n  6 -> 23 [size =\"43842560\"]\n  6 -> 26 [size =\"43842560\"]\n  6 -> 27 [size =\"43842560\"]\n  7 [size=\"34245973\", alpha=\"0.19\", expect_size=\"10273792\"] \n  7 -> 13 [size =\"10273792\"]\n  7 -> 14 [size =\"10273792\"]\n  7 -> 16 [size =\"10273792\"]\n  7 -> 18 [size =\"10273792\"]\n  7 -> 19 [size =\"10273792\"]\n  7 -> 24 [size =\"10273792\"]\n  7 -> 25 [size =\"10273792\"]\n  7 -> 27 [size =\"10273792\"]\n  8 [size=\"43468800\", alpha=\"0.15\", expect_size=\"13040640\"] \n  8 -> 12 [size =\"13040640\"]\n  8 -> 15 [size =\"13040640\"]\n  8 -> 17 [size =\"13040640\"]\n  8 -> 19 [size =\"13040640\"]\n  8 -> 21 [size =\"13040640\"]\n  8 -> 22 [size =\"13040640\"]\n  8 -> 27 [size =\"13040640\"]\n  9 [size=\"84561920\", alpha=\"0.19\", expect_size=\"25368576\"] \n  9 -> 12 [size =\"25368576\"]\n  9 -> 15 [size =\"25368576\"]\n  9 -> 19 [size =\"25368576\"]\n  9 -> 20 [size =\"25368576\"]\n  9 -> 25 [size =\"25368576\"]\n  10 [size=\"118097920\", alpha=\"0.07\", expect_size=\"35429376\"] \n  10 -> 14 [size =\"35429376\"]\n  10 -> 15 [size =\"35429376\"]\n  10 -> 16 [size =\"35429376\"]\n  10 -> 17 [size =\"35429376\"]\n  10 -> 18 [size =\"35429376\"]\n  10 -> 19 [size =\"35429376\"]\n  10 -> 21 [size =\"35429376\"]\n  10 -> 23 [size =\"35429376\"]\n  10 -> 24 [size =\"35429376\"]\n  11 [size=\"151613440\", alpha=\"0.09\", expect_size=\"45484032\"] \n  11 -> 17 [size =\"45484032\"]\n  11 -> 18 [size =\"45484032\"]\n  11 -> 21 [size =\"45484032\"]\n  11 -> 24 [size =\"45484032\"]\n  11 -> 25 [size =\"45484032\"]\n  12 [size=\"131198293\", alpha=\"0.05\", expect_size=\"39359488\"] \n  12 -> 37 [size =\"39359488\"]\n  13 [size=\"79766187\", alpha=\"0.01\", expect_size=\"23929856\"] \n  13 -> 31 [size =\"23929856\"]\n  13 -> 32 [size =\"23929856\"]\n  13 -> 35 [size =\"23929856\"]\n  13 -> 37 [size =\"23929856\"]\n  13 -> 39 [size =\"23929856\"]\n  13 -> 40 [size =\"23929856\"]\n  14 [size=\"156474027\", alpha=\"0.06\", expect_size=\"46942208\"] \n  14 -> 28 [size =\"46942208\"]\n  14 -> 29 [size =\"46942208\"]\n  14 -> 31 [size =\"46942208\"]\n  14 -> 36 [size =\"46942208\"]\n  14 -> 38 [size =\"46942208\"]\n  15 [size=\"94033920\", alpha=\"0.17\", expect_size=\"28210176\"] \n  15 -> 29 [size =\"28210176\"]\n  15 -> 35 [size =\"28210176\"]\n  15 -> 36 [size =\"28210176\"]\n  15 -> 37 [size =\"28210176\"]\n  15 -> 38 [size =\"28210176\"]\n  15 -> 39 [size =\"28210176\"]\n  16 [size=\"147879253\", alpha=\"0.12\", expect_size=\"44363776\"] \n  16 -> 29 [size =\"44363776\"]\n  16 -> 31 [size =\"44363776\"]\n  16 -> 36 [size =\"44363776\"]\n  16 -> 38 [size =\"44363776\"]\n  16 -> 39 [size =\"44363776\"]\n  17 [size=\"162191360\", alpha=\"0.15\", expect_size=\"48657408\"] \n  17 -> 28 [size =\"48657408\"]\n  17 -> 29 [size =\"48657408\"]\n  17 -> 30 [size =\"48657408\"]\n  17 -> 33 [size =\"48657408\"]\n  17 -> 38 [size =\"48657408\"]\n  17 -> 39 [size =\"48657408\"]\n  18 [size=\"155187200\", alpha=\"0.07\", expect_size=\"46556160\"] \n  18 -> 29 [size =\"46556160\"]\n  18 -> 31 [size =\"46556160\"]\n  18 -> 39 [size =\"46556160\"]\n  19 [size=\"112486400\", alpha=\"0.09\", expect_size=\"33745920\"] \n  19 -> 29 [size =\"33745920\"]\n  19 -> 30 [size =\"33745920\"]\n  19 -> 37 [size =\"33745920\"]\n  19 -> 38 [size =\"33745920\"]\n  19 -> 39 [size =\"33745920\"]\n  20 [size=\"103526400\", alpha=\"0.08\", expect_size=\"31057920\"] \n  20 -> 29 [size =\"31057920\"]\n  20 -> 33 [size =\"31057920\"]\n  20 -> 34 [size =\"31057920\"]\n  20 -> 37 [size =\"31057920\"]\n  20 -> 38 [size =\"31057920\"]\n  20 -> 39 [size =\"31057920\"]\n  21 [size=\"156112213\", alpha=\"0.20\", expect_size=\"46833664\"] \n  21 -> 29 [size =\"46833664\"]\n  21 -> 30 [size =\"46833664\"]\n  21 -> 34 [size =\"46833664\"]\n  21 -> 37 [size =\"46833664\"]\n  21 -> 38 [size =\"46833664\"]\n  21 -> 39 [size =\"46833664\"]\n  22 [size=\"72724480\", alpha=\"0.01\", expect_size=\"21817344\"] \n  22 -> 31 [size =\"21817344\"]\n  22 -> 37 [size =\"21817344\"]\n  22 -> 38 [size =\"21817344\"]\n  23 [size=\"108168533\", alpha=\"0.20\", expect_size=\"32450560\"] \n  23 -> 28 [size =\"32450560\"]\n  23 -> 31 [size =\"32450560\"]\n  23 -> 33 [size =\"32450560\"]\n  24 [size=\"119466667\", alpha=\"0.17\", expect_size=\"35840000\"] \n  24 -> 28 [size =\"35840000\"]\n  24 -> 31 [size =\"35840000\"]\n  24 -> 32 [size =\"35840000\"]\n  24 -> 35 [size =\"35840000\"]\n  24 -> 36 [size =\"35840000\"]\n  24 -> 38 [size =\"35840000\"]\n  25 [size=\"167140693\", alpha=\"0.09\", expect_size=\"50142208\"] \n  25 -> 28 [size =\"50142208\"]\n  25 -> 30 [size =\"50142208\"]\n  25 -> 31 [size =\"50142208\"]\n  25 -> 36 [size =\"50142208\"]\n  25 -> 37 [size =\"50142208\"]\n  25 -> 38 [size =\"50142208\"]\n  26 [size=\"143233707\", alpha=\"0.17\", expect_size=\"42970112\"] \n  26 -> 29 [size =\"42970112\"]\n  26 -> 35 [size =\"42970112\"]\n  26 -> 36 [size =\"42970112\"]\n  27 [size=\"79441920\", alpha=\"0.07\", expect_size=\"23832576\"] \n  27 -> 29 [size =\"23832576\"]\n  27 -> 32 [size =\"23832576\"]\n  27 -> 33 [size =\"23832576\"]\n  27 -> 34 [size =\"23832576\"]\n  27 -> 37 [size =\"23832576\"]\n  28 [size=\"38225920\", alpha=\"0.01\", expect_size=\"11467776\"] \n  28 -> 41 [size =\"11467776\"]\n  29 [size=\"94180693\", alpha=\"0.03\", expect_size=\"28254208\"] \n  29 -> 41 [size =\"28254208\"]\n  29 -> 42 [size =\"28254208\"]\n  29 -> 43 [size =\"28254208\"]\n  30 [size=\"165792427\", alpha=\"0.18\", expect_size=\"49737728\"] \n  30 -> 43 [size =\"49737728\"]\n  30 -> 44 [size =\"49737728\"]\n  31 [size=\"70717440\", alpha=\"0.10\", expect_size=\"21215232\"] \n  31 -> 41 [size =\"21215232\"]\n  31 -> 42 [size =\"21215232\"]\n  31 -> 43 [size =\"21215232\"]\n  32 [size=\"69611520\", alpha=\"0.17\", expect_size=\"20883456\"] \n  33 [size=\"78274560\", alpha=\"0.11\", expect_size=\"23482368\"] \n  33 -> 41 [size =\"23482368\"]\n  34 [size=\"76554240\", alpha=\"0.04\", expect_size=\"22966272\"] \n  34 -> 42 [size =\"22966272\"]\n  35 [size=\"50329600\", alpha=\"0.05\", expect_size=\"15098880\"] \n  35 -> 44 [size =\"15098880\"]\n  36 [size=\"117787307\", alpha=\"0.04\", expect_size=\"35336192\"] \n  36 -> 44 [size =\"35336192\"]\n  36 -> 45 [size =\"35336192\"]\n  37 [size=\"93016747\", alpha=\"0.01\", expect_size=\"27905024\"] \n  38 [size=\"150074027\", alpha=\"0.15\", expect_size=\"45022208\"] \n  38 -> 42 [size =\"45022208\"]\n  38 -> 44 [size =\"45022208\"]\n  38 -> 45 [size =\"45022208\"]\n  39 [size=\"157672107\", alpha=\"0.02\", expect_size=\"47301632\"] \n  39 -> 42 [size =\"47301632\"]\n  40 [size=\"25610240\", alpha=\"0.19\", expect_size=\"7683072\"] \n  41 [size=\"169082880\", alpha=\"0.14\", expect_size=\"50724864\"] \n  42 [size=\"93088427\", alpha=\"0.16\", expect_size=\"27926528\"] \n  43 [size=\"68631893\", alpha=\"0.10\", expect_size=\"20589568\"] \n  44 [size=\"158003200\", alpha=\"0.16\", expect_size=\"47400960\"] \n  45 [size=\"28344320\", alpha=\"0.02\", expect_size=\"8503296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112865280\", alpha=\"0.19\", expect_size=\"33859584\"] \n  1 -> 39 [size =\"33859584\"]\n  1 -> 40 [size =\"33859584\"]\n  2 [size=\"78503253\", alpha=\"0.19\", expect_size=\"23550976\"] \n  2 -> 31 [size =\"23550976\"]\n  2 -> 33 [size =\"23550976\"]\n  2 -> 38 [size =\"23550976\"]\n  3 [size=\"170141013\", alpha=\"0.13\", expect_size=\"51042304\"] \n  3 -> 30 [size =\"51042304\"]\n  3 -> 31 [size =\"51042304\"]\n  3 -> 33 [size =\"51042304\"]\n  3 -> 37 [size =\"51042304\"]\n  3 -> 40 [size =\"51042304\"]\n  3 -> 41 [size =\"51042304\"]\n  3 -> 44 [size =\"51042304\"]\n  4 [size=\"67689813\", alpha=\"0.13\", expect_size=\"20306944\"] \n  4 -> 30 [size =\"20306944\"]\n  4 -> 37 [size =\"20306944\"]\n  4 -> 38 [size =\"20306944\"]\n  4 -> 41 [size =\"20306944\"]\n  4 -> 44 [size =\"20306944\"]\n  4 -> 45 [size =\"20306944\"]\n  5 [size=\"88541867\", alpha=\"0.09\", expect_size=\"26562560\"] \n  5 -> 30 [size =\"26562560\"]\n  5 -> 32 [size =\"26562560\"]\n  5 -> 35 [size =\"26562560\"]\n  5 -> 37 [size =\"26562560\"]\n  5 -> 40 [size =\"26562560\"]\n  5 -> 45 [size =\"26562560\"]\n  6 [size=\"153596587\", alpha=\"0.15\", expect_size=\"46078976\"] \n  6 -> 29 [size =\"46078976\"]\n  6 -> 30 [size =\"46078976\"]\n  6 -> 32 [size =\"46078976\"]\n  6 -> 37 [size =\"46078976\"]\n  6 -> 40 [size =\"46078976\"]\n  7 [size=\"166577493\", alpha=\"0.03\", expect_size=\"49973248\"] \n  7 -> 34 [size =\"49973248\"]\n  8 [size=\"113408000\", alpha=\"0.04\", expect_size=\"34022400\"] \n  8 -> 39 [size =\"34022400\"]\n  8 -> 43 [size =\"34022400\"]\n  8 -> 45 [size =\"34022400\"]\n  9 [size=\"78434987\", alpha=\"0.02\", expect_size=\"23530496\"] \n  9 -> 33 [size =\"23530496\"]\n  9 -> 37 [size =\"23530496\"]\n  9 -> 38 [size =\"23530496\"]\n  9 -> 43 [size =\"23530496\"]\n  10 [size=\"32559787\", alpha=\"0.06\", expect_size=\"9767936\"] \n  10 -> 29 [size =\"9767936\"]\n  10 -> 31 [size =\"9767936\"]\n  10 -> 33 [size =\"9767936\"]\n  10 -> 38 [size =\"9767936\"]\n  10 -> 40 [size =\"9767936\"]\n  10 -> 45 [size =\"9767936\"]\n  11 [size=\"144087040\", alpha=\"0.06\", expect_size=\"43226112\"] \n  11 -> 30 [size =\"43226112\"]\n  11 -> 40 [size =\"43226112\"]\n  12 [size=\"138485760\", alpha=\"0.08\", expect_size=\"41545728\"] \n  12 -> 38 [size =\"41545728\"]\n  12 -> 43 [size =\"41545728\"]\n  12 -> 44 [size =\"41545728\"]\n  12 -> 45 [size =\"41545728\"]\n  13 [size=\"133802667\", alpha=\"0.00\", expect_size=\"40140800\"] \n  13 -> 30 [size =\"40140800\"]\n  13 -> 32 [size =\"40140800\"]\n  13 -> 45 [size =\"40140800\"]\n  14 [size=\"82271573\", alpha=\"0.07\", expect_size=\"24681472\"] \n  14 -> 32 [size =\"24681472\"]\n  14 -> 38 [size =\"24681472\"]\n  14 -> 40 [size =\"24681472\"]\n  15 [size=\"28552533\", alpha=\"0.15\", expect_size=\"8565760\"] \n  15 -> 29 [size =\"8565760\"]\n  15 -> 30 [size =\"8565760\"]\n  15 -> 33 [size =\"8565760\"]\n  15 -> 41 [size =\"8565760\"]\n  15 -> 42 [size =\"8565760\"]\n  16 [size=\"96669013\", alpha=\"0.13\", expect_size=\"29000704\"] \n  16 -> 30 [size =\"29000704\"]\n  16 -> 33 [size =\"29000704\"]\n  16 -> 38 [size =\"29000704\"]\n  16 -> 39 [size =\"29000704\"]\n  16 -> 41 [size =\"29000704\"]\n  16 -> 43 [size =\"29000704\"]\n  17 [size=\"58337280\", alpha=\"0.17\", expect_size=\"17501184\"] \n  17 -> 36 [size =\"17501184\"]\n  17 -> 37 [size =\"17501184\"]\n  17 -> 38 [size =\"17501184\"]\n  17 -> 40 [size =\"17501184\"]\n  17 -> 43 [size =\"17501184\"]\n  17 -> 45 [size =\"17501184\"]\n  18 [size=\"81633280\", alpha=\"0.11\", expect_size=\"24489984\"] \n  18 -> 37 [size =\"24489984\"]\n  18 -> 37 [size =\"24489984\"]\n  18 -> 39 [size =\"24489984\"]\n  18 -> 40 [size =\"24489984\"]\n  19 [size=\"115384320\", alpha=\"0.15\", expect_size=\"34615296\"] \n  20 [size=\"128948907\", alpha=\"0.19\", expect_size=\"38684672\"] \n  20 -> 33 [size =\"38684672\"]\n  20 -> 37 [size =\"38684672\"]\n  20 -> 42 [size =\"38684672\"]\n  20 -> 43 [size =\"38684672\"]\n  21 [size=\"22125227\", alpha=\"0.16\", expect_size=\"6637568\"] \n  21 -> 31 [size =\"6637568\"]\n  21 -> 39 [size =\"6637568\"]\n  21 -> 42 [size =\"6637568\"]\n  21 -> 43 [size =\"6637568\"]\n  21 -> 44 [size =\"6637568\"]\n  22 [size=\"66652160\", alpha=\"0.01\", expect_size=\"19995648\"] \n  22 -> 33 [size =\"19995648\"]\n  22 -> 34 [size =\"19995648\"]\n  22 -> 39 [size =\"19995648\"]\n  22 -> 40 [size =\"19995648\"]\n  22 -> 43 [size =\"19995648\"]\n  22 -> 44 [size =\"19995648\"]\n  23 [size=\"127074987\", alpha=\"0.05\", expect_size=\"38122496\"] \n  23 -> 29 [size =\"38122496\"]\n  23 -> 35 [size =\"38122496\"]\n  24 [size=\"130249387\", alpha=\"0.16\", expect_size=\"39074816\"] \n  24 -> 31 [size =\"39074816\"]\n  24 -> 33 [size =\"39074816\"]\n  24 -> 34 [size =\"39074816\"]\n  24 -> 37 [size =\"39074816\"]\n  24 -> 39 [size =\"39074816\"]\n  25 [size=\"28422827\", alpha=\"0.15\", expect_size=\"8526848\"] \n  25 -> 31 [size =\"8526848\"]\n  25 -> 33 [size =\"8526848\"]\n  25 -> 37 [size =\"8526848\"]\n  25 -> 37 [size =\"8526848\"]\n  25 -> 40 [size =\"8526848\"]\n  25 -> 42 [size =\"8526848\"]\n  25 -> 43 [size =\"8526848\"]\n  26 [size=\"147626667\", alpha=\"0.12\", expect_size=\"44288000\"] \n  26 -> 33 [size =\"44288000\"]\n  26 -> 36 [size =\"44288000\"]\n  26 -> 39 [size =\"44288000\"]\n  26 -> 43 [size =\"44288000\"]\n  27 [size=\"93265920\", alpha=\"0.08\", expect_size=\"27979776\"] \n  27 -> 31 [size =\"27979776\"]\n  27 -> 34 [size =\"27979776\"]\n  27 -> 38 [size =\"27979776\"]\n  27 -> 44 [size =\"27979776\"]\n  28 [size=\"67068587\", alpha=\"0.16\", expect_size=\"20120576\"] \n  28 -> 33 [size =\"20120576\"]\n  28 -> 40 [size =\"20120576\"]\n  29 [size=\"157289813\", alpha=\"0.12\", expect_size=\"47186944\"] \n  30 [size=\"114981547\", alpha=\"0.10\", expect_size=\"34494464\"] \n  31 [size=\"110861653\", alpha=\"0.04\", expect_size=\"33258496\"] \n  32 [size=\"83029333\", alpha=\"0.13\", expect_size=\"24908800\"] \n  33 [size=\"92514987\", alpha=\"0.17\", expect_size=\"27754496\"] \n  34 [size=\"134700373\", alpha=\"0.09\", expect_size=\"40410112\"] \n  35 [size=\"102509227\", alpha=\"0.03\", expect_size=\"30752768\"] \n  36 [size=\"67007147\", alpha=\"0.06\", expect_size=\"20102144\"] \n  37 [size=\"164321280\", alpha=\"0.15\", expect_size=\"49296384\"] \n  38 [size=\"71690240\", alpha=\"0.12\", expect_size=\"21507072\"] \n  39 [size=\"42335573\", alpha=\"0.02\", expect_size=\"12700672\"] \n  40 [size=\"137219413\", alpha=\"0.06\", expect_size=\"41165824\"] \n  41 [size=\"56849067\", alpha=\"0.10\", expect_size=\"17054720\"] \n  42 [size=\"85125120\", alpha=\"0.00\", expect_size=\"25537536\"] \n  43 [size=\"28487680\", alpha=\"0.05\", expect_size=\"8546304\"] \n  44 [size=\"160552960\", alpha=\"0.04\", expect_size=\"48165888\"] \n  45 [size=\"74253653\", alpha=\"0.04\", expect_size=\"22276096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52894720\", alpha=\"0.07\", expect_size=\"21157888\"] \n  2 [size=\"79838720\", alpha=\"0.06\", expect_size=\"31935488\"] \n  2 -> 16 [size =\"31935488\"]\n  2 -> 20 [size =\"31935488\"]\n  3 [size=\"95362560\", alpha=\"0.13\", expect_size=\"38145024\"] \n  3 -> 16 [size =\"38145024\"]\n  4 [size=\"103787520\", alpha=\"0.17\", expect_size=\"41515008\"] \n  4 -> 15 [size =\"41515008\"]\n  4 -> 16 [size =\"41515008\"]\n  5 [size=\"48939520\", alpha=\"0.16\", expect_size=\"19575808\"] \n  5 -> 15 [size =\"19575808\"]\n  6 [size=\"82513920\", alpha=\"0.06\", expect_size=\"33005568\"] \n  6 -> 14 [size =\"33005568\"]\n  6 -> 16 [size =\"33005568\"]\n  6 -> 18 [size =\"33005568\"]\n  6 -> 20 [size =\"33005568\"]\n  7 [size=\"79549440\", alpha=\"0.04\", expect_size=\"31819776\"] \n  7 -> 17 [size =\"31819776\"]\n  7 -> 18 [size =\"31819776\"]\n  8 [size=\"93798400\", alpha=\"0.01\", expect_size=\"37519360\"] \n  8 -> 20 [size =\"37519360\"]\n  9 [size=\"105566720\", alpha=\"0.00\", expect_size=\"42226688\"] \n  9 -> 15 [size =\"42226688\"]\n  9 -> 18 [size =\"42226688\"]\n  9 -> 19 [size =\"42226688\"]\n  10 [size=\"41080320\", alpha=\"0.14\", expect_size=\"16432128\"] \n  10 -> 16 [size =\"16432128\"]\n  11 [size=\"112460800\", alpha=\"0.11\", expect_size=\"44984320\"] \n  11 -> 14 [size =\"44984320\"]\n  11 -> 18 [size =\"44984320\"]\n  11 -> 20 [size =\"44984320\"]\n  12 [size=\"33006080\", alpha=\"0.13\", expect_size=\"13202432\"] \n  12 -> 15 [size =\"13202432\"]\n  12 -> 18 [size =\"13202432\"]\n  12 -> 19 [size =\"13202432\"]\n  12 -> 20 [size =\"13202432\"]\n  13 [size=\"69542400\", alpha=\"0.16\", expect_size=\"27816960\"] \n  13 -> 15 [size =\"27816960\"]\n  13 -> 19 [size =\"27816960\"]\n  14 [size=\"27153920\", alpha=\"0.15\", expect_size=\"10861568\"] \n  14 -> 27 [size =\"10861568\"]\n  14 -> 29 [size =\"10861568\"]\n  14 -> 33 [size =\"10861568\"]\n  14 -> 36 [size =\"10861568\"]\n  15 [size=\"125288960\", alpha=\"0.03\", expect_size=\"50115584\"] \n  15 -> 23 [size =\"50115584\"]\n  15 -> 29 [size =\"50115584\"]\n  15 -> 32 [size =\"50115584\"]\n  15 -> 37 [size =\"50115584\"]\n  16 [size=\"100812800\", alpha=\"0.15\", expect_size=\"40325120\"] \n  16 -> 21 [size =\"40325120\"]\n  16 -> 26 [size =\"40325120\"]\n  16 -> 30 [size =\"40325120\"]\n  16 -> 31 [size =\"40325120\"]\n  16 -> 33 [size =\"40325120\"]\n  17 [size=\"18219520\", alpha=\"0.13\", expect_size=\"7287808\"] \n  17 -> 25 [size =\"7287808\"]\n  17 -> 26 [size =\"7287808\"]\n  17 -> 32 [size =\"7287808\"]\n  17 -> 34 [size =\"7287808\"]\n  17 -> 35 [size =\"7287808\"]\n  17 -> 36 [size =\"7287808\"]\n  18 [size=\"43596800\", alpha=\"0.09\", expect_size=\"17438720\"] \n  18 -> 22 [size =\"17438720\"]\n  18 -> 23 [size =\"17438720\"]\n  18 -> 24 [size =\"17438720\"]\n  18 -> 27 [size =\"17438720\"]\n  18 -> 36 [size =\"17438720\"]\n  19 [size=\"51668480\", alpha=\"0.05\", expect_size=\"20667392\"] \n  19 -> 21 [size =\"20667392\"]\n  19 -> 22 [size =\"20667392\"]\n  19 -> 24 [size =\"20667392\"]\n  19 -> 26 [size =\"20667392\"]\n  19 -> 28 [size =\"20667392\"]\n  19 -> 31 [size =\"20667392\"]\n  19 -> 33 [size =\"20667392\"]\n  19 -> 37 [size =\"20667392\"]\n  20 [size=\"51673600\", alpha=\"0.00\", expect_size=\"20669440\"] \n  20 -> 22 [size =\"20669440\"]\n  20 -> 25 [size =\"20669440\"]\n  20 -> 26 [size =\"20669440\"]\n  20 -> 32 [size =\"20669440\"]\n  20 -> 33 [size =\"20669440\"]\n  20 -> 35 [size =\"20669440\"]\n  20 -> 36 [size =\"20669440\"]\n  20 -> 37 [size =\"20669440\"]\n  21 [size=\"18416640\", alpha=\"0.03\", expect_size=\"7366656\"] \n  21 -> 38 [size =\"7366656\"]\n  22 [size=\"83927040\", alpha=\"0.17\", expect_size=\"33570816\"] \n  22 -> 44 [size =\"33570816\"]\n  23 [size=\"42181120\", alpha=\"0.05\", expect_size=\"16872448\"] \n  23 -> 38 [size =\"16872448\"]\n  23 -> 43 [size =\"16872448\"]\n  24 [size=\"18608640\", alpha=\"0.08\", expect_size=\"7443456\"] \n  25 [size=\"106880000\", alpha=\"0.17\", expect_size=\"42752000\"] \n  25 -> 40 [size =\"42752000\"]\n  25 -> 41 [size =\"42752000\"]\n  26 [size=\"125491200\", alpha=\"0.18\", expect_size=\"50196480\"] \n  26 -> 38 [size =\"50196480\"]\n  26 -> 40 [size =\"50196480\"]\n  26 -> 42 [size =\"50196480\"]\n  26 -> 44 [size =\"50196480\"]\n  27 [size=\"98209280\", alpha=\"0.11\", expect_size=\"39283712\"] \n  27 -> 40 [size =\"39283712\"]\n  28 [size=\"56002560\", alpha=\"0.17\", expect_size=\"22401024\"] \n  28 -> 38 [size =\"22401024\"]\n  28 -> 39 [size =\"22401024\"]\n  28 -> 40 [size =\"22401024\"]\n  28 -> 41 [size =\"22401024\"]\n  29 [size=\"111936000\", alpha=\"0.18\", expect_size=\"44774400\"] \n  29 -> 38 [size =\"44774400\"]\n  30 [size=\"20687360\", alpha=\"0.05\", expect_size=\"8274944\"] \n  30 -> 41 [size =\"8274944\"]\n  30 -> 43 [size =\"8274944\"]\n  31 [size=\"22858240\", alpha=\"0.08\", expect_size=\"9143296\"] \n  31 -> 39 [size =\"9143296\"]\n  31 -> 43 [size =\"9143296\"]\n  32 [size=\"40271360\", alpha=\"0.15\", expect_size=\"16108544\"] \n  32 -> 38 [size =\"16108544\"]\n  32 -> 43 [size =\"16108544\"]\n  32 -> 44 [size =\"16108544\"]\n  33 [size=\"21696000\", alpha=\"0.11\", expect_size=\"8678400\"] \n  33 -> 38 [size =\"8678400\"]\n  33 -> 41 [size =\"8678400\"]\n  33 -> 44 [size =\"8678400\"]\n  33 -> 45 [size =\"8678400\"]\n  34 [size=\"49390080\", alpha=\"0.09\", expect_size=\"19756032\"] \n  34 -> 38 [size =\"19756032\"]\n  34 -> 41 [size =\"19756032\"]\n  34 -> 44 [size =\"19756032\"]\n  34 -> 45 [size =\"19756032\"]\n  35 [size=\"96069120\", alpha=\"0.07\", expect_size=\"38427648\"] \n  35 -> 38 [size =\"38427648\"]\n  35 -> 40 [size =\"38427648\"]\n  35 -> 41 [size =\"38427648\"]\n  35 -> 44 [size =\"38427648\"]\n  36 [size=\"79600640\", alpha=\"0.20\", expect_size=\"31840256\"] \n  36 -> 40 [size =\"31840256\"]\n  36 -> 45 [size =\"31840256\"]\n  37 [size=\"69393920\", alpha=\"0.13\", expect_size=\"27757568\"] \n  37 -> 40 [size =\"27757568\"]\n  37 -> 44 [size =\"27757568\"]\n  37 -> 45 [size =\"27757568\"]\n  38 [size=\"13926400\", alpha=\"0.11\", expect_size=\"5570560\"] \n  39 [size=\"111854080\", alpha=\"0.16\", expect_size=\"44741632\"] \n  40 [size=\"101747200\", alpha=\"0.08\", expect_size=\"40698880\"] \n  41 [size=\"129538560\", alpha=\"0.01\", expect_size=\"51815424\"] \n  42 [size=\"58659840\", alpha=\"0.05\", expect_size=\"23463936\"] \n  43 [size=\"26969600\", alpha=\"0.14\", expect_size=\"10787840\"] \n  44 [size=\"90905600\", alpha=\"0.05\", expect_size=\"36362240\"] \n  45 [size=\"28587520\", alpha=\"0.11\", expect_size=\"11435008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146688000\", alpha=\"0.04\", expect_size=\"44006400\"] \n  1 -> 38 [size =\"44006400\"]\n  1 -> 40 [size =\"44006400\"]\n  1 -> 42 [size =\"44006400\"]\n  2 [size=\"61003093\", alpha=\"0.03\", expect_size=\"18300928\"] \n  2 -> 36 [size =\"18300928\"]\n  2 -> 42 [size =\"18300928\"]\n  3 [size=\"127453867\", alpha=\"0.14\", expect_size=\"38236160\"] \n  3 -> 36 [size =\"38236160\"]\n  3 -> 39 [size =\"38236160\"]\n  3 -> 40 [size =\"38236160\"]\n  3 -> 42 [size =\"38236160\"]\n  3 -> 43 [size =\"38236160\"]\n  3 -> 44 [size =\"38236160\"]\n  4 [size=\"170810027\", alpha=\"0.07\", expect_size=\"51243008\"] \n  4 -> 33 [size =\"51243008\"]\n  4 -> 38 [size =\"51243008\"]\n  4 -> 39 [size =\"51243008\"]\n  4 -> 41 [size =\"51243008\"]\n  5 [size=\"84776960\", alpha=\"0.03\", expect_size=\"25433088\"] \n  5 -> 33 [size =\"25433088\"]\n  5 -> 38 [size =\"25433088\"]\n  5 -> 39 [size =\"25433088\"]\n  5 -> 42 [size =\"25433088\"]\n  6 [size=\"164382720\", alpha=\"0.18\", expect_size=\"49314816\"] \n  6 -> 33 [size =\"49314816\"]\n  6 -> 38 [size =\"49314816\"]\n  6 -> 39 [size =\"49314816\"]\n  6 -> 40 [size =\"49314816\"]\n  6 -> 44 [size =\"49314816\"]\n  7 [size=\"135604907\", alpha=\"0.19\", expect_size=\"40681472\"] \n  7 -> 42 [size =\"40681472\"]\n  7 -> 44 [size =\"40681472\"]\n  7 -> 45 [size =\"40681472\"]\n  8 [size=\"113489920\", alpha=\"0.13\", expect_size=\"34046976\"] \n  8 -> 34 [size =\"34046976\"]\n  8 -> 36 [size =\"34046976\"]\n  8 -> 42 [size =\"34046976\"]\n  8 -> 43 [size =\"34046976\"]\n  8 -> 45 [size =\"34046976\"]\n  9 [size=\"134710613\", alpha=\"0.09\", expect_size=\"40413184\"] \n  9 -> 38 [size =\"40413184\"]\n  9 -> 39 [size =\"40413184\"]\n  9 -> 42 [size =\"40413184\"]\n  9 -> 43 [size =\"40413184\"]\n  9 -> 45 [size =\"40413184\"]\n  10 [size=\"76148053\", alpha=\"0.03\", expect_size=\"22844416\"] \n  10 -> 44 [size =\"22844416\"]\n  11 [size=\"133515947\", alpha=\"0.08\", expect_size=\"40054784\"] \n  11 -> 33 [size =\"40054784\"]\n  11 -> 38 [size =\"40054784\"]\n  11 -> 39 [size =\"40054784\"]\n  11 -> 40 [size =\"40054784\"]\n  11 -> 42 [size =\"40054784\"]\n  12 [size=\"165635413\", alpha=\"0.19\", expect_size=\"49690624\"] \n  12 -> 33 [size =\"49690624\"]\n  12 -> 37 [size =\"49690624\"]\n  12 -> 39 [size =\"49690624\"]\n  12 -> 42 [size =\"49690624\"]\n  12 -> 43 [size =\"49690624\"]\n  13 [size=\"32645120\", alpha=\"0.08\", expect_size=\"9793536\"] \n  13 -> 33 [size =\"9793536\"]\n  13 -> 39 [size =\"9793536\"]\n  13 -> 43 [size =\"9793536\"]\n  14 [size=\"145070080\", alpha=\"0.07\", expect_size=\"43521024\"] \n  14 -> 36 [size =\"43521024\"]\n  14 -> 39 [size =\"43521024\"]\n  14 -> 41 [size =\"43521024\"]\n  14 -> 43 [size =\"43521024\"]\n  15 [size=\"46073173\", alpha=\"0.02\", expect_size=\"13821952\"] \n  15 -> 32 [size =\"13821952\"]\n  15 -> 33 [size =\"13821952\"]\n  15 -> 36 [size =\"13821952\"]\n  15 -> 38 [size =\"13821952\"]\n  15 -> 39 [size =\"13821952\"]\n  15 -> 40 [size =\"13821952\"]\n  15 -> 41 [size =\"13821952\"]\n  15 -> 43 [size =\"13821952\"]\n  16 [size=\"72034987\", alpha=\"0.15\", expect_size=\"21610496\"] \n  16 -> 34 [size =\"21610496\"]\n  16 -> 35 [size =\"21610496\"]\n  16 -> 36 [size =\"21610496\"]\n  16 -> 37 [size =\"21610496\"]\n  16 -> 38 [size =\"21610496\"]\n  16 -> 40 [size =\"21610496\"]\n  16 -> 41 [size =\"21610496\"]\n  16 -> 43 [size =\"21610496\"]\n  17 [size=\"57852587\", alpha=\"0.13\", expect_size=\"17355776\"] \n  17 -> 32 [size =\"17355776\"]\n  17 -> 36 [size =\"17355776\"]\n  17 -> 36 [size =\"17355776\"]\n  17 -> 38 [size =\"17355776\"]\n  17 -> 41 [size =\"17355776\"]\n  18 [size=\"52551680\", alpha=\"0.17\", expect_size=\"15765504\"] \n  18 -> 35 [size =\"15765504\"]\n  18 -> 38 [size =\"15765504\"]\n  18 -> 39 [size =\"15765504\"]\n  18 -> 43 [size =\"15765504\"]\n  18 -> 45 [size =\"15765504\"]\n  19 [size=\"153146027\", alpha=\"0.16\", expect_size=\"45943808\"] \n  19 -> 34 [size =\"45943808\"]\n  19 -> 35 [size =\"45943808\"]\n  19 -> 38 [size =\"45943808\"]\n  19 -> 39 [size =\"45943808\"]\n  19 -> 43 [size =\"45943808\"]\n  19 -> 45 [size =\"45943808\"]\n  20 [size=\"69021013\", alpha=\"0.10\", expect_size=\"20706304\"] \n  20 -> 32 [size =\"20706304\"]\n  20 -> 33 [size =\"20706304\"]\n  20 -> 36 [size =\"20706304\"]\n  20 -> 38 [size =\"20706304\"]\n  20 -> 39 [size =\"20706304\"]\n  20 -> 40 [size =\"20706304\"]\n  20 -> 43 [size =\"20706304\"]\n  20 -> 45 [size =\"20706304\"]\n  21 [size=\"90152960\", alpha=\"0.01\", expect_size=\"27045888\"] \n  21 -> 32 [size =\"27045888\"]\n  21 -> 33 [size =\"27045888\"]\n  21 -> 35 [size =\"27045888\"]\n  21 -> 39 [size =\"27045888\"]\n  21 -> 40 [size =\"27045888\"]\n  21 -> 42 [size =\"27045888\"]\n  21 -> 43 [size =\"27045888\"]\n  22 [size=\"149691733\", alpha=\"0.18\", expect_size=\"44907520\"] \n  22 -> 32 [size =\"44907520\"]\n  22 -> 33 [size =\"44907520\"]\n  22 -> 35 [size =\"44907520\"]\n  22 -> 40 [size =\"44907520\"]\n  22 -> 44 [size =\"44907520\"]\n  23 [size=\"137990827\", alpha=\"0.08\", expect_size=\"41397248\"] \n  23 -> 33 [size =\"41397248\"]\n  23 -> 33 [size =\"41397248\"]\n  23 -> 35 [size =\"41397248\"]\n  23 -> 38 [size =\"41397248\"]\n  23 -> 39 [size =\"41397248\"]\n  24 [size=\"44069547\", alpha=\"0.18\", expect_size=\"13220864\"] \n  24 -> 33 [size =\"13220864\"]\n  24 -> 38 [size =\"13220864\"]\n  24 -> 39 [size =\"13220864\"]\n  24 -> 40 [size =\"13220864\"]\n  25 [size=\"98160640\", alpha=\"0.17\", expect_size=\"29448192\"] \n  25 -> 32 [size =\"29448192\"]\n  25 -> 33 [size =\"29448192\"]\n  25 -> 38 [size =\"29448192\"]\n  25 -> 39 [size =\"29448192\"]\n  25 -> 40 [size =\"29448192\"]\n  25 -> 45 [size =\"29448192\"]\n  26 [size=\"112667307\", alpha=\"0.14\", expect_size=\"33800192\"] \n  26 -> 38 [size =\"33800192\"]\n  26 -> 39 [size =\"33800192\"]\n  26 -> 40 [size =\"33800192\"]\n  26 -> 42 [size =\"33800192\"]\n  26 -> 45 [size =\"33800192\"]\n  27 [size=\"76134400\", alpha=\"0.06\", expect_size=\"22840320\"] \n  27 -> 32 [size =\"22840320\"]\n  27 -> 33 [size =\"22840320\"]\n  27 -> 35 [size =\"22840320\"]\n  27 -> 36 [size =\"22840320\"]\n  27 -> 39 [size =\"22840320\"]\n  27 -> 40 [size =\"22840320\"]\n  27 -> 42 [size =\"22840320\"]\n  28 [size=\"24511147\", alpha=\"0.10\", expect_size=\"7353344\"] \n  28 -> 32 [size =\"7353344\"]\n  28 -> 38 [size =\"7353344\"]\n  28 -> 43 [size =\"7353344\"]\n  29 [size=\"156774400\", alpha=\"0.10\", expect_size=\"47032320\"] \n  29 -> 32 [size =\"47032320\"]\n  29 -> 40 [size =\"47032320\"]\n  29 -> 42 [size =\"47032320\"]\n  29 -> 43 [size =\"47032320\"]\n  30 [size=\"124361387\", alpha=\"0.16\", expect_size=\"37308416\"] \n  30 -> 40 [size =\"37308416\"]\n  30 -> 40 [size =\"37308416\"]\n  30 -> 43 [size =\"37308416\"]\n  31 [size=\"48568320\", alpha=\"0.18\", expect_size=\"14570496\"] \n  31 -> 36 [size =\"14570496\"]\n  31 -> 39 [size =\"14570496\"]\n  31 -> 42 [size =\"14570496\"]\n  32 [size=\"58610347\", alpha=\"0.18\", expect_size=\"17583104\"] \n  33 [size=\"40727893\", alpha=\"0.01\", expect_size=\"12218368\"] \n  34 [size=\"104901973\", alpha=\"0.19\", expect_size=\"31470592\"] \n  35 [size=\"89893547\", alpha=\"0.01\", expect_size=\"26968064\"] \n  36 [size=\"63010133\", alpha=\"0.10\", expect_size=\"18903040\"] \n  37 [size=\"171158187\", alpha=\"0.05\", expect_size=\"51347456\"] \n  38 [size=\"60610560\", alpha=\"0.03\", expect_size=\"18183168\"] \n  39 [size=\"141957120\", alpha=\"0.19\", expect_size=\"42587136\"] \n  40 [size=\"60569600\", alpha=\"0.02\", expect_size=\"18170880\"] \n  41 [size=\"32413013\", alpha=\"0.13\", expect_size=\"9723904\"] \n  42 [size=\"173523627\", alpha=\"0.02\", expect_size=\"52057088\"] \n  43 [size=\"160204800\", alpha=\"0.06\", expect_size=\"48061440\"] \n  44 [size=\"164915200\", alpha=\"0.13\", expect_size=\"49474560\"] \n  45 [size=\"157965653\", alpha=\"0.11\", expect_size=\"47389696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49628160\", alpha=\"0.05\", expect_size=\"19851264\"] \n  1 -> 9 [size =\"19851264\"]\n  1 -> 10 [size =\"19851264\"]\n  1 -> 13 [size =\"19851264\"]\n  2 [size=\"107217920\", alpha=\"0.09\", expect_size=\"42887168\"] \n  2 -> 8 [size =\"42887168\"]\n  2 -> 10 [size =\"42887168\"]\n  2 -> 13 [size =\"42887168\"]\n  3 [size=\"61460480\", alpha=\"0.01\", expect_size=\"24584192\"] \n  3 -> 8 [size =\"24584192\"]\n  3 -> 9 [size =\"24584192\"]\n  3 -> 11 [size =\"24584192\"]\n  3 -> 13 [size =\"24584192\"]\n  4 [size=\"67484160\", alpha=\"0.05\", expect_size=\"26993664\"] \n  4 -> 8 [size =\"26993664\"]\n  4 -> 9 [size =\"26993664\"]\n  4 -> 10 [size =\"26993664\"]\n  5 [size=\"118540800\", alpha=\"0.07\", expect_size=\"47416320\"] \n  5 -> 8 [size =\"47416320\"]\n  5 -> 9 [size =\"47416320\"]\n  5 -> 10 [size =\"47416320\"]\n  5 -> 11 [size =\"47416320\"]\n  6 [size=\"113402880\", alpha=\"0.12\", expect_size=\"45361152\"] \n  6 -> 9 [size =\"45361152\"]\n  6 -> 9 [size =\"45361152\"]\n  6 -> 11 [size =\"45361152\"]\n  6 -> 12 [size =\"45361152\"]\n  7 [size=\"91197440\", alpha=\"0.13\", expect_size=\"36478976\"] \n  7 -> 10 [size =\"36478976\"]\n  7 -> 12 [size =\"36478976\"]\n  8 [size=\"71772160\", alpha=\"0.11\", expect_size=\"28708864\"] \n  8 -> 14 [size =\"28708864\"]\n  8 -> 15 [size =\"28708864\"]\n  8 -> 17 [size =\"28708864\"]\n  8 -> 18 [size =\"28708864\"]\n  9 [size=\"35253760\", alpha=\"0.09\", expect_size=\"14101504\"] \n  9 -> 14 [size =\"14101504\"]\n  9 -> 15 [size =\"14101504\"]\n  9 -> 18 [size =\"14101504\"]\n  9 -> 19 [size =\"14101504\"]\n  9 -> 20 [size =\"14101504\"]\n  10 [size=\"102717440\", alpha=\"0.14\", expect_size=\"41086976\"] \n  10 -> 14 [size =\"41086976\"]\n  10 -> 17 [size =\"41086976\"]\n  10 -> 18 [size =\"41086976\"]\n  10 -> 20 [size =\"41086976\"]\n  11 [size=\"13565440\", alpha=\"0.07\", expect_size=\"5426176\"] \n  11 -> 14 [size =\"5426176\"]\n  11 -> 17 [size =\"5426176\"]\n  11 -> 18 [size =\"5426176\"]\n  11 -> 20 [size =\"5426176\"]\n  12 [size=\"41128960\", alpha=\"0.12\", expect_size=\"16451584\"] \n  12 -> 14 [size =\"16451584\"]\n  12 -> 15 [size =\"16451584\"]\n  12 -> 17 [size =\"16451584\"]\n  12 -> 18 [size =\"16451584\"]\n  12 -> 20 [size =\"16451584\"]\n  13 [size=\"97090560\", alpha=\"0.05\", expect_size=\"38836224\"] \n  13 -> 15 [size =\"38836224\"]\n  13 -> 15 [size =\"38836224\"]\n  13 -> 16 [size =\"38836224\"]\n  13 -> 17 [size =\"38836224\"]\n  13 -> 18 [size =\"38836224\"]\n  13 -> 20 [size =\"38836224\"]\n  14 [size=\"100505600\", alpha=\"0.07\", expect_size=\"40202240\"] \n  14 -> 21 [size =\"40202240\"]\n  14 -> 22 [size =\"40202240\"]\n  14 -> 24 [size =\"40202240\"]\n  14 -> 25 [size =\"40202240\"]\n  14 -> 26 [size =\"40202240\"]\n  14 -> 27 [size =\"40202240\"]\n  15 [size=\"128202240\", alpha=\"0.17\", expect_size=\"51280896\"] \n  15 -> 21 [size =\"51280896\"]\n  15 -> 22 [size =\"51280896\"]\n  15 -> 24 [size =\"51280896\"]\n  15 -> 27 [size =\"51280896\"]\n  16 [size=\"54343680\", alpha=\"0.10\", expect_size=\"21737472\"] \n  16 -> 21 [size =\"21737472\"]\n  16 -> 22 [size =\"21737472\"]\n  16 -> 23 [size =\"21737472\"]\n  16 -> 25 [size =\"21737472\"]\n  16 -> 27 [size =\"21737472\"]\n  17 [size=\"125253120\", alpha=\"0.06\", expect_size=\"50101248\"] \n  17 -> 21 [size =\"50101248\"]\n  17 -> 25 [size =\"50101248\"]\n  17 -> 27 [size =\"50101248\"]\n  18 [size=\"84462080\", alpha=\"0.06\", expect_size=\"33784832\"] \n  18 -> 21 [size =\"33784832\"]\n  18 -> 23 [size =\"33784832\"]\n  18 -> 24 [size =\"33784832\"]\n  18 -> 25 [size =\"33784832\"]\n  18 -> 27 [size =\"33784832\"]\n  19 [size=\"30379520\", alpha=\"0.03\", expect_size=\"12151808\"] \n  19 -> 21 [size =\"12151808\"]\n  19 -> 22 [size =\"12151808\"]\n  19 -> 24 [size =\"12151808\"]\n  19 -> 25 [size =\"12151808\"]\n  19 -> 27 [size =\"12151808\"]\n  20 [size=\"80806400\", alpha=\"0.16\", expect_size=\"32322560\"] \n  20 -> 22 [size =\"32322560\"]\n  20 -> 24 [size =\"32322560\"]\n  20 -> 24 [size =\"32322560\"]\n  20 -> 25 [size =\"32322560\"]\n  20 -> 26 [size =\"32322560\"]\n  20 -> 27 [size =\"32322560\"]\n  21 [size=\"45232640\", alpha=\"0.14\", expect_size=\"18093056\"] \n  21 -> 28 [size =\"18093056\"]\n  21 -> 31 [size =\"18093056\"]\n  21 -> 32 [size =\"18093056\"]\n  22 [size=\"86187520\", alpha=\"0.08\", expect_size=\"34475008\"] \n  22 -> 28 [size =\"34475008\"]\n  22 -> 31 [size =\"34475008\"]\n  23 [size=\"38208000\", alpha=\"0.10\", expect_size=\"15283200\"] \n  23 -> 28 [size =\"15283200\"]\n  23 -> 32 [size =\"15283200\"]\n  24 [size=\"69304320\", alpha=\"0.02\", expect_size=\"27721728\"] \n  24 -> 28 [size =\"27721728\"]\n  24 -> 31 [size =\"27721728\"]\n  25 [size=\"108072960\", alpha=\"0.12\", expect_size=\"43229184\"] \n  25 -> 28 [size =\"43229184\"]\n  25 -> 30 [size =\"43229184\"]\n  25 -> 31 [size =\"43229184\"]\n  25 -> 33 [size =\"43229184\"]\n  26 [size=\"89743360\", alpha=\"0.18\", expect_size=\"35897344\"] \n  26 -> 31 [size =\"35897344\"]\n  26 -> 32 [size =\"35897344\"]\n  27 [size=\"28001280\", alpha=\"0.18\", expect_size=\"11200512\"] \n  27 -> 28 [size =\"11200512\"]\n  27 -> 29 [size =\"11200512\"]\n  27 -> 31 [size =\"11200512\"]\n  27 -> 33 [size =\"11200512\"]\n  28 [size=\"66278400\", alpha=\"0.08\", expect_size=\"26511360\"] \n  28 -> 37 [size =\"26511360\"]\n  28 -> 38 [size =\"26511360\"]\n  28 -> 38 [size =\"26511360\"]\n  28 -> 39 [size =\"26511360\"]\n  29 [size=\"99847680\", alpha=\"0.01\", expect_size=\"39939072\"] \n  29 -> 34 [size =\"39939072\"]\n  29 -> 35 [size =\"39939072\"]\n  29 -> 38 [size =\"39939072\"]\n  29 -> 39 [size =\"39939072\"]\n  30 [size=\"120058880\", alpha=\"0.10\", expect_size=\"48023552\"] \n  30 -> 36 [size =\"48023552\"]\n  30 -> 37 [size =\"48023552\"]\n  30 -> 39 [size =\"48023552\"]\n  30 -> 39 [size =\"48023552\"]\n  31 [size=\"93642240\", alpha=\"0.19\", expect_size=\"37456896\"] \n  31 -> 37 [size =\"37456896\"]\n  31 -> 38 [size =\"37456896\"]\n  31 -> 39 [size =\"37456896\"]\n  32 [size=\"57121280\", alpha=\"0.12\", expect_size=\"22848512\"] \n  32 -> 34 [size =\"22848512\"]\n  32 -> 36 [size =\"22848512\"]\n  32 -> 37 [size =\"22848512\"]\n  32 -> 38 [size =\"22848512\"]\n  33 [size=\"104609280\", alpha=\"0.20\", expect_size=\"41843712\"] \n  33 -> 34 [size =\"41843712\"]\n  33 -> 37 [size =\"41843712\"]\n  33 -> 38 [size =\"41843712\"]\n  34 [size=\"48527360\", alpha=\"0.02\", expect_size=\"19410944\"] \n  34 -> 41 [size =\"19410944\"]\n  34 -> 42 [size =\"19410944\"]\n  34 -> 44 [size =\"19410944\"]\n  35 [size=\"61219840\", alpha=\"0.05\", expect_size=\"24487936\"] \n  35 -> 40 [size =\"24487936\"]\n  35 -> 42 [size =\"24487936\"]\n  35 -> 44 [size =\"24487936\"]\n  36 [size=\"130155520\", alpha=\"0.14\", expect_size=\"52062208\"] \n  36 -> 40 [size =\"52062208\"]\n  36 -> 41 [size =\"52062208\"]\n  36 -> 42 [size =\"52062208\"]\n  36 -> 44 [size =\"52062208\"]\n  37 [size=\"119705600\", alpha=\"0.02\", expect_size=\"47882240\"] \n  37 -> 40 [size =\"47882240\"]\n  37 -> 41 [size =\"47882240\"]\n  37 -> 42 [size =\"47882240\"]\n  37 -> 43 [size =\"47882240\"]\n  37 -> 44 [size =\"47882240\"]\n  38 [size=\"107957760\", alpha=\"0.02\", expect_size=\"43183104\"] \n  38 -> 40 [size =\"43183104\"]\n  38 -> 41 [size =\"43183104\"]\n  38 -> 42 [size =\"43183104\"]\n  39 [size=\"35617280\", alpha=\"0.05\", expect_size=\"14246912\"] \n  39 -> 41 [size =\"14246912\"]\n  39 -> 42 [size =\"14246912\"]\n  39 -> 43 [size =\"14246912\"]\n  39 -> 44 [size =\"14246912\"]\n  40 [size=\"42790400\", alpha=\"0.20\", expect_size=\"17116160\"] \n  40 -> 45 [size =\"17116160\"]\n  41 [size=\"101125120\", alpha=\"0.20\", expect_size=\"40450048\"] \n  41 -> 45 [size =\"40450048\"]\n  42 [size=\"93117440\", alpha=\"0.12\", expect_size=\"37246976\"] \n  42 -> 45 [size =\"37246976\"]\n  43 [size=\"46794240\", alpha=\"0.09\", expect_size=\"18717696\"] \n  43 -> 45 [size =\"18717696\"]\n  44 [size=\"46136320\", alpha=\"0.15\", expect_size=\"18454528\"] \n  44 -> 45 [size =\"18454528\"]\n  45 [size=\"60579840\", alpha=\"0.17\", expect_size=\"24231936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64337920\", alpha=\"0.11\", expect_size=\"25735168\"] \n  1 -> 3 [size =\"25735168\"]\n  2 [size=\"84418560\", alpha=\"0.02\", expect_size=\"33767424\"] \n  2 -> 3 [size =\"33767424\"]\n  2 -> 4 [size =\"33767424\"]\n  3 [size=\"80128000\", alpha=\"0.01\", expect_size=\"32051200\"] \n  4 [size=\"97123840\", alpha=\"0.12\", expect_size=\"38849536\"] \n  4 -> 5 [size =\"38849536\"]\n  4 -> 6 [size =\"38849536\"]\n  4 -> 7 [size =\"38849536\"]\n  5 [size=\"32143360\", alpha=\"0.12\", expect_size=\"12857344\"] \n  5 -> 9 [size =\"12857344\"]\n  6 [size=\"94325760\", alpha=\"0.11\", expect_size=\"37730304\"] \n  7 [size=\"112512000\", alpha=\"0.18\", expect_size=\"45004800\"] \n  7 -> 8 [size =\"45004800\"]\n  7 -> 9 [size =\"45004800\"]\n  8 [size=\"102397440\", alpha=\"0.12\", expect_size=\"40958976\"] \n  8 -> 10 [size =\"40958976\"]\n  8 -> 11 [size =\"40958976\"]\n  8 -> 12 [size =\"40958976\"]\n  9 [size=\"56896000\", alpha=\"0.14\", expect_size=\"22758400\"] \n  9 -> 10 [size =\"22758400\"]\n  10 [size=\"43284480\", alpha=\"0.11\", expect_size=\"17313792\"] \n  10 -> 13 [size =\"17313792\"]\n  10 -> 14 [size =\"17313792\"]\n  11 [size=\"40872960\", alpha=\"0.12\", expect_size=\"16349184\"] \n  11 -> 14 [size =\"16349184\"]\n  12 [size=\"103014400\", alpha=\"0.17\", expect_size=\"41205760\"] \n  12 -> 13 [size =\"41205760\"]\n  13 [size=\"112279040\", alpha=\"0.18\", expect_size=\"44911616\"] \n  13 -> 16 [size =\"44911616\"]\n  14 [size=\"119923200\", alpha=\"0.04\", expect_size=\"47969280\"] \n  14 -> 15 [size =\"47969280\"]\n  14 -> 16 [size =\"47969280\"]\n  15 [size=\"73310720\", alpha=\"0.13\", expect_size=\"29324288\"] \n  15 -> 17 [size =\"29324288\"]\n  15 -> 18 [size =\"29324288\"]\n  16 [size=\"28144640\", alpha=\"0.01\", expect_size=\"11257856\"] \n  16 -> 18 [size =\"11257856\"]\n  17 [size=\"93227520\", alpha=\"0.19\", expect_size=\"37291008\"] \n  17 -> 19 [size =\"37291008\"]\n  18 [size=\"78988800\", alpha=\"0.14\", expect_size=\"31595520\"] \n  18 -> 19 [size =\"31595520\"]\n  18 -> 20 [size =\"31595520\"]\n  18 -> 21 [size =\"31595520\"]\n  19 [size=\"34580480\", alpha=\"0.09\", expect_size=\"13832192\"] \n  19 -> 24 [size =\"13832192\"]\n  20 [size=\"116103680\", alpha=\"0.05\", expect_size=\"46441472\"] \n  20 -> 22 [size =\"46441472\"]\n  20 -> 23 [size =\"46441472\"]\n  20 -> 24 [size =\"46441472\"]\n  21 [size=\"65423360\", alpha=\"0.10\", expect_size=\"26169344\"] \n  21 -> 23 [size =\"26169344\"]\n  22 [size=\"19765760\", alpha=\"0.08\", expect_size=\"7906304\"] \n  22 -> 25 [size =\"7906304\"]\n  22 -> 27 [size =\"7906304\"]\n  23 [size=\"122741760\", alpha=\"0.17\", expect_size=\"49096704\"] \n  23 -> 25 [size =\"49096704\"]\n  23 -> 26 [size =\"49096704\"]\n  24 [size=\"111969280\", alpha=\"0.19\", expect_size=\"44787712\"] \n  25 [size=\"19796480\", alpha=\"0.06\", expect_size=\"7918592\"] \n  25 -> 28 [size =\"7918592\"]\n  25 -> 29 [size =\"7918592\"]\n  26 [size=\"93667840\", alpha=\"0.06\", expect_size=\"37467136\"] \n  27 [size=\"99834880\", alpha=\"0.02\", expect_size=\"39933952\"] \n  27 -> 30 [size =\"39933952\"]\n  28 [size=\"95380480\", alpha=\"0.14\", expect_size=\"38152192\"] \n  28 -> 32 [size =\"38152192\"]\n  29 [size=\"57574400\", alpha=\"0.14\", expect_size=\"23029760\"] \n  29 -> 31 [size =\"23029760\"]\n  30 [size=\"108638720\", alpha=\"0.18\", expect_size=\"43455488\"] \n  30 -> 32 [size =\"43455488\"]\n  31 [size=\"21468160\", alpha=\"0.07\", expect_size=\"8587264\"] \n  31 -> 33 [size =\"8587264\"]\n  32 [size=\"83230720\", alpha=\"0.12\", expect_size=\"33292288\"] \n  32 -> 33 [size =\"33292288\"]\n  32 -> 34 [size =\"33292288\"]\n  33 [size=\"129305600\", alpha=\"0.13\", expect_size=\"51722240\"] \n  33 -> 36 [size =\"51722240\"]\n  33 -> 37 [size =\"51722240\"]\n  34 [size=\"108751360\", alpha=\"0.12\", expect_size=\"43500544\"] \n  34 -> 35 [size =\"43500544\"]\n  34 -> 37 [size =\"43500544\"]\n  35 [size=\"105584640\", alpha=\"0.02\", expect_size=\"42233856\"] \n  35 -> 38 [size =\"42233856\"]\n  35 -> 39 [size =\"42233856\"]\n  36 [size=\"20879360\", alpha=\"0.14\", expect_size=\"8351744\"] \n  37 [size=\"53821440\", alpha=\"0.20\", expect_size=\"21528576\"] \n  37 -> 38 [size =\"21528576\"]\n  37 -> 39 [size =\"21528576\"]\n  38 [size=\"67883520\", alpha=\"0.17\", expect_size=\"27153408\"] \n  38 -> 40 [size =\"27153408\"]\n  38 -> 42 [size =\"27153408\"]\n  39 [size=\"34391040\", alpha=\"0.17\", expect_size=\"13756416\"] \n  39 -> 40 [size =\"13756416\"]\n  39 -> 41 [size =\"13756416\"]\n  40 [size=\"115102720\", alpha=\"0.15\", expect_size=\"46041088\"] \n  41 [size=\"104266240\", alpha=\"0.02\", expect_size=\"41706496\"] \n  41 -> 43 [size =\"41706496\"]\n  41 -> 44 [size =\"41706496\"]\n  41 -> 45 [size =\"41706496\"]\n  42 [size=\"29647360\", alpha=\"0.10\", expect_size=\"11858944\"] \n  42 -> 44 [size =\"11858944\"]\n  42 -> 45 [size =\"11858944\"]\n  43 [size=\"99118080\", alpha=\"0.16\", expect_size=\"39647232\"] \n  44 [size=\"57955840\", alpha=\"0.20\", expect_size=\"23182336\"] \n  45 [size=\"130946560\", alpha=\"0.04\", expect_size=\"52378624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70468267\", alpha=\"0.06\", expect_size=\"21140480\"] \n  1 -> 6 [size =\"21140480\"]\n  2 [size=\"34355200\", alpha=\"0.15\", expect_size=\"10306560\"] \n  2 -> 5 [size =\"10306560\"]\n  3 [size=\"154026667\", alpha=\"0.19\", expect_size=\"46208000\"] \n  3 -> 7 [size =\"46208000\"]\n  3 -> 9 [size =\"46208000\"]\n  4 [size=\"140598613\", alpha=\"0.01\", expect_size=\"42179584\"] \n  4 -> 6 [size =\"42179584\"]\n  4 -> 8 [size =\"42179584\"]\n  4 -> 9 [size =\"42179584\"]\n  5 [size=\"57794560\", alpha=\"0.18\", expect_size=\"17338368\"] \n  5 -> 10 [size =\"17338368\"]\n  5 -> 13 [size =\"17338368\"]\n  5 -> 14 [size =\"17338368\"]\n  5 -> 16 [size =\"17338368\"]\n  6 [size=\"128651947\", alpha=\"0.20\", expect_size=\"38595584\"] \n  6 -> 12 [size =\"38595584\"]\n  6 -> 14 [size =\"38595584\"]\n  6 -> 15 [size =\"38595584\"]\n  7 [size=\"129471147\", alpha=\"0.02\", expect_size=\"38841344\"] \n  7 -> 10 [size =\"38841344\"]\n  7 -> 11 [size =\"38841344\"]\n  7 -> 12 [size =\"38841344\"]\n  8 [size=\"106799787\", alpha=\"0.06\", expect_size=\"32039936\"] \n  8 -> 10 [size =\"32039936\"]\n  8 -> 11 [size =\"32039936\"]\n  8 -> 14 [size =\"32039936\"]\n  8 -> 15 [size =\"32039936\"]\n  9 [size=\"147042987\", alpha=\"0.05\", expect_size=\"44112896\"] \n  9 -> 10 [size =\"44112896\"]\n  9 -> 13 [size =\"44112896\"]\n  9 -> 15 [size =\"44112896\"]\n  9 -> 15 [size =\"44112896\"]\n  10 [size=\"106458453\", alpha=\"0.17\", expect_size=\"31937536\"] \n  10 -> 18 [size =\"31937536\"]\n  10 -> 20 [size =\"31937536\"]\n  10 -> 21 [size =\"31937536\"]\n  10 -> 22 [size =\"31937536\"]\n  11 [size=\"140916053\", alpha=\"0.08\", expect_size=\"42274816\"] \n  11 -> 18 [size =\"42274816\"]\n  11 -> 21 [size =\"42274816\"]\n  11 -> 22 [size =\"42274816\"]\n  11 -> 23 [size =\"42274816\"]\n  12 [size=\"27740160\", alpha=\"0.13\", expect_size=\"8322048\"] \n  12 -> 20 [size =\"8322048\"]\n  12 -> 22 [size =\"8322048\"]\n  12 -> 23 [size =\"8322048\"]\n  13 [size=\"142926507\", alpha=\"0.13\", expect_size=\"42877952\"] \n  13 -> 18 [size =\"42877952\"]\n  13 -> 19 [size =\"42877952\"]\n  13 -> 21 [size =\"42877952\"]\n  13 -> 23 [size =\"42877952\"]\n  14 [size=\"132792320\", alpha=\"0.13\", expect_size=\"39837696\"] \n  14 -> 17 [size =\"39837696\"]\n  14 -> 19 [size =\"39837696\"]\n  14 -> 20 [size =\"39837696\"]\n  14 -> 21 [size =\"39837696\"]\n  14 -> 23 [size =\"39837696\"]\n  15 [size=\"139400533\", alpha=\"0.14\", expect_size=\"41820160\"] \n  15 -> 17 [size =\"41820160\"]\n  15 -> 18 [size =\"41820160\"]\n  15 -> 19 [size =\"41820160\"]\n  15 -> 20 [size =\"41820160\"]\n  15 -> 22 [size =\"41820160\"]\n  15 -> 23 [size =\"41820160\"]\n  16 [size=\"121354240\", alpha=\"0.09\", expect_size=\"36406272\"] \n  16 -> 18 [size =\"36406272\"]\n  16 -> 20 [size =\"36406272\"]\n  16 -> 21 [size =\"36406272\"]\n  17 [size=\"120401920\", alpha=\"0.06\", expect_size=\"36120576\"] \n  17 -> 25 [size =\"36120576\"]\n  17 -> 26 [size =\"36120576\"]\n  17 -> 27 [size =\"36120576\"]\n  18 [size=\"138007893\", alpha=\"0.06\", expect_size=\"41402368\"] \n  18 -> 24 [size =\"41402368\"]\n  18 -> 25 [size =\"41402368\"]\n  18 -> 26 [size =\"41402368\"]\n  18 -> 28 [size =\"41402368\"]\n  19 [size=\"26251947\", alpha=\"0.06\", expect_size=\"7875584\"] \n  19 -> 25 [size =\"7875584\"]\n  19 -> 26 [size =\"7875584\"]\n  19 -> 27 [size =\"7875584\"]\n  20 [size=\"69341867\", alpha=\"0.02\", expect_size=\"20802560\"] \n  20 -> 24 [size =\"20802560\"]\n  21 [size=\"45373440\", alpha=\"0.05\", expect_size=\"13612032\"] \n  21 -> 24 [size =\"13612032\"]\n  21 -> 25 [size =\"13612032\"]\n  21 -> 26 [size =\"13612032\"]\n  21 -> 28 [size =\"13612032\"]\n  22 [size=\"110950400\", alpha=\"0.09\", expect_size=\"33285120\"] \n  22 -> 25 [size =\"33285120\"]\n  22 -> 29 [size =\"33285120\"]\n  23 [size=\"58460160\", alpha=\"0.12\", expect_size=\"17538048\"] \n  23 -> 29 [size =\"17538048\"]\n  24 [size=\"157726720\", alpha=\"0.09\", expect_size=\"47318016\"] \n  24 -> 30 [size =\"47318016\"]\n  24 -> 32 [size =\"47318016\"]\n  24 -> 33 [size =\"47318016\"]\n  24 -> 36 [size =\"47318016\"]\n  25 [size=\"103980373\", alpha=\"0.12\", expect_size=\"31194112\"] \n  25 -> 33 [size =\"31194112\"]\n  25 -> 35 [size =\"31194112\"]\n  25 -> 36 [size =\"31194112\"]\n  26 [size=\"55398400\", alpha=\"0.09\", expect_size=\"16619520\"] \n  26 -> 30 [size =\"16619520\"]\n  26 -> 31 [size =\"16619520\"]\n  26 -> 32 [size =\"16619520\"]\n  26 -> 33 [size =\"16619520\"]\n  27 [size=\"128778240\", alpha=\"0.01\", expect_size=\"38633472\"] \n  27 -> 32 [size =\"38633472\"]\n  27 -> 34 [size =\"38633472\"]\n  27 -> 36 [size =\"38633472\"]\n  28 [size=\"173922987\", alpha=\"0.03\", expect_size=\"52176896\"] \n  28 -> 30 [size =\"52176896\"]\n  29 [size=\"67293867\", alpha=\"0.03\", expect_size=\"20188160\"] \n  29 -> 30 [size =\"20188160\"]\n  29 -> 33 [size =\"20188160\"]\n  29 -> 35 [size =\"20188160\"]\n  30 [size=\"113947307\", alpha=\"0.13\", expect_size=\"34184192\"] \n  31 [size=\"128570027\", alpha=\"0.19\", expect_size=\"38571008\"] \n  31 -> 37 [size =\"38571008\"]\n  31 -> 42 [size =\"38571008\"]\n  32 [size=\"164157440\", alpha=\"0.07\", expect_size=\"49247232\"] \n  32 -> 37 [size =\"49247232\"]\n  32 -> 42 [size =\"49247232\"]\n  33 [size=\"80305493\", alpha=\"0.10\", expect_size=\"24091648\"] \n  33 -> 37 [size =\"24091648\"]\n  33 -> 40 [size =\"24091648\"]\n  33 -> 42 [size =\"24091648\"]\n  34 [size=\"170850987\", alpha=\"0.08\", expect_size=\"51255296\"] \n  34 -> 39 [size =\"51255296\"]\n  34 -> 40 [size =\"51255296\"]\n  34 -> 42 [size =\"51255296\"]\n  35 [size=\"87060480\", alpha=\"0.02\", expect_size=\"26118144\"] \n  35 -> 37 [size =\"26118144\"]\n  35 -> 40 [size =\"26118144\"]\n  35 -> 41 [size =\"26118144\"]\n  36 [size=\"26542080\", alpha=\"0.09\", expect_size=\"7962624\"] \n  36 -> 38 [size =\"7962624\"]\n  36 -> 40 [size =\"7962624\"]\n  37 [size=\"100468053\", alpha=\"0.09\", expect_size=\"30140416\"] \n  37 -> 44 [size =\"30140416\"]\n  38 [size=\"106267307\", alpha=\"0.04\", expect_size=\"31880192\"] \n  38 -> 43 [size =\"31880192\"]\n  38 -> 44 [size =\"31880192\"]\n  38 -> 45 [size =\"31880192\"]\n  39 [size=\"133259947\", alpha=\"0.00\", expect_size=\"39977984\"] \n  39 -> 43 [size =\"39977984\"]\n  39 -> 44 [size =\"39977984\"]\n  40 [size=\"153726293\", alpha=\"0.03\", expect_size=\"46117888\"] \n  40 -> 43 [size =\"46117888\"]\n  40 -> 44 [size =\"46117888\"]\n  41 [size=\"99365547\", alpha=\"0.10\", expect_size=\"29809664\"] \n  42 [size=\"93617493\", alpha=\"0.08\", expect_size=\"28085248\"] \n  43 [size=\"146749440\", alpha=\"0.12\", expect_size=\"44024832\"] \n  44 [size=\"69635413\", alpha=\"0.13\", expect_size=\"20890624\"] \n  45 [size=\"134884693\", alpha=\"0.05\", expect_size=\"40465408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74881707\", alpha=\"0.03\", expect_size=\"22464512\"] \n  1 -> 4 [size =\"22464512\"]\n  2 [size=\"141789867\", alpha=\"0.15\", expect_size=\"42536960\"] \n  2 -> 4 [size =\"42536960\"]\n  2 -> 5 [size =\"42536960\"]\n  2 -> 6 [size =\"42536960\"]\n  3 [size=\"88623787\", alpha=\"0.14\", expect_size=\"26587136\"] \n  3 -> 5 [size =\"26587136\"]\n  4 [size=\"64211627\", alpha=\"0.15\", expect_size=\"19263488\"] \n  5 [size=\"47650133\", alpha=\"0.06\", expect_size=\"14295040\"] \n  5 -> 7 [size =\"14295040\"]\n  5 -> 8 [size =\"14295040\"]\n  5 -> 9 [size =\"14295040\"]\n  6 [size=\"67345067\", alpha=\"0.11\", expect_size=\"20203520\"] \n  6 -> 7 [size =\"20203520\"]\n  7 [size=\"113947307\", alpha=\"0.00\", expect_size=\"34184192\"] \n  7 -> 10 [size =\"34184192\"]\n  8 [size=\"72953173\", alpha=\"0.09\", expect_size=\"21885952\"] \n  8 -> 11 [size =\"21885952\"]\n  9 [size=\"159901013\", alpha=\"0.16\", expect_size=\"47970304\"] \n  9 -> 10 [size =\"47970304\"]\n  10 [size=\"63167147\", alpha=\"0.02\", expect_size=\"18950144\"] \n  10 -> 13 [size =\"18950144\"]\n  10 -> 14 [size =\"18950144\"]\n  11 [size=\"49739093\", alpha=\"0.10\", expect_size=\"14921728\"] \n  11 -> 12 [size =\"14921728\"]\n  12 [size=\"72140800\", alpha=\"0.19\", expect_size=\"21642240\"] \n  13 [size=\"30569813\", alpha=\"0.12\", expect_size=\"9170944\"] \n  13 -> 15 [size =\"9170944\"]\n  13 -> 16 [size =\"9170944\"]\n  14 [size=\"142636373\", alpha=\"0.05\", expect_size=\"42790912\"] \n  14 -> 16 [size =\"42790912\"]\n  15 [size=\"106120533\", alpha=\"0.11\", expect_size=\"31836160\"] \n  15 -> 17 [size =\"31836160\"]\n  15 -> 18 [size =\"31836160\"]\n  16 [size=\"155214507\", alpha=\"0.09\", expect_size=\"46564352\"] \n  17 [size=\"88364373\", alpha=\"0.02\", expect_size=\"26509312\"] \n  17 -> 20 [size =\"26509312\"]\n  17 -> 21 [size =\"26509312\"]\n  18 [size=\"91815253\", alpha=\"0.12\", expect_size=\"27544576\"] \n  18 -> 19 [size =\"27544576\"]\n  18 -> 20 [size =\"27544576\"]\n  19 [size=\"162887680\", alpha=\"0.09\", expect_size=\"48866304\"] \n  19 -> 23 [size =\"48866304\"]\n  20 [size=\"131696640\", alpha=\"0.11\", expect_size=\"39508992\"] \n  21 [size=\"149162667\", alpha=\"0.01\", expect_size=\"44748800\"] \n  21 -> 22 [size =\"44748800\"]\n  21 -> 23 [size =\"44748800\"]\n  22 [size=\"72034987\", alpha=\"0.06\", expect_size=\"21610496\"] \n  22 -> 24 [size =\"21610496\"]\n  22 -> 25 [size =\"21610496\"]\n  23 [size=\"65064960\", alpha=\"0.01\", expect_size=\"19519488\"] \n  23 -> 26 [size =\"19519488\"]\n  24 [size=\"156849493\", alpha=\"0.01\", expect_size=\"47054848\"] \n  24 -> 27 [size =\"47054848\"]\n  24 -> 28 [size =\"47054848\"]\n  25 [size=\"42769067\", alpha=\"0.06\", expect_size=\"12830720\"] \n  26 [size=\"128812373\", alpha=\"0.16\", expect_size=\"38643712\"] \n  26 -> 27 [size =\"38643712\"]\n  26 -> 28 [size =\"38643712\"]\n  26 -> 29 [size =\"38643712\"]\n  27 [size=\"38929067\", alpha=\"0.19\", expect_size=\"11678720\"] \n  27 -> 30 [size =\"11678720\"]\n  28 [size=\"57528320\", alpha=\"0.09\", expect_size=\"17258496\"] \n  29 [size=\"152907093\", alpha=\"0.18\", expect_size=\"45872128\"] \n  29 -> 30 [size =\"45872128\"]\n  29 -> 31 [size =\"45872128\"]\n  30 [size=\"63170560\", alpha=\"0.11\", expect_size=\"18951168\"] \n  30 -> 32 [size =\"18951168\"]\n  30 -> 33 [size =\"18951168\"]\n  31 [size=\"149760000\", alpha=\"0.09\", expect_size=\"44928000\"] \n  31 -> 33 [size =\"44928000\"]\n  31 -> 34 [size =\"44928000\"]\n  32 [size=\"155501227\", alpha=\"0.14\", expect_size=\"46650368\"] \n  33 [size=\"47431680\", alpha=\"0.01\", expect_size=\"14229504\"] \n  33 -> 35 [size =\"14229504\"]\n  34 [size=\"53985280\", alpha=\"0.04\", expect_size=\"16195584\"] \n  34 -> 36 [size =\"16195584\"]\n  35 [size=\"64607573\", alpha=\"0.18\", expect_size=\"19382272\"] \n  35 -> 38 [size =\"19382272\"]\n  36 [size=\"109479253\", alpha=\"0.09\", expect_size=\"32843776\"] \n  36 -> 37 [size =\"32843776\"]\n  36 -> 38 [size =\"32843776\"]\n  37 [size=\"81175893\", alpha=\"0.09\", expect_size=\"24352768\"] \n  37 -> 39 [size =\"24352768\"]\n  37 -> 40 [size =\"24352768\"]\n  38 [size=\"76178773\", alpha=\"0.19\", expect_size=\"22853632\"] \n  39 [size=\"149961387\", alpha=\"0.07\", expect_size=\"44988416\"] \n  39 -> 41 [size =\"44988416\"]\n  39 -> 42 [size =\"44988416\"]\n  40 [size=\"130379093\", alpha=\"0.10\", expect_size=\"39113728\"] \n  40 -> 41 [size =\"39113728\"]\n  41 [size=\"63122773\", alpha=\"0.10\", expect_size=\"18936832\"] \n  41 -> 44 [size =\"18936832\"]\n  42 [size=\"137745067\", alpha=\"0.16\", expect_size=\"41323520\"] \n  42 -> 43 [size =\"41323520\"]\n  43 [size=\"94337707\", alpha=\"0.09\", expect_size=\"28301312\"] \n  43 -> 45 [size =\"28301312\"]\n  44 [size=\"103284053\", alpha=\"0.19\", expect_size=\"30985216\"] \n  44 -> 45 [size =\"30985216\"]\n  45 [size=\"132457813\", alpha=\"0.13\", expect_size=\"39737344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71573504\", alpha=\"0.19\", expect_size=\"35786752\"] \n  1 -> 37 [size =\"35786752\"]\n  1 -> 37 [size =\"35786752\"]\n  1 -> 38 [size =\"35786752\"]\n  1 -> 41 [size =\"35786752\"]\n  1 -> 43 [size =\"35786752\"]\n  1 -> 45 [size =\"35786752\"]\n  2 [size=\"76697600\", alpha=\"0.08\", expect_size=\"38348800\"] \n  2 -> 34 [size =\"38348800\"]\n  2 -> 42 [size =\"38348800\"]\n  2 -> 43 [size =\"38348800\"]\n  2 -> 45 [size =\"38348800\"]\n  3 [size=\"62803968\", alpha=\"0.06\", expect_size=\"31401984\"] \n  3 -> 37 [size =\"31401984\"]\n  3 -> 38 [size =\"31401984\"]\n  3 -> 39 [size =\"31401984\"]\n  3 -> 41 [size =\"31401984\"]\n  3 -> 43 [size =\"31401984\"]\n  4 [size=\"34009088\", alpha=\"0.19\", expect_size=\"17004544\"] \n  4 -> 37 [size =\"17004544\"]\n  4 -> 38 [size =\"17004544\"]\n  4 -> 43 [size =\"17004544\"]\n  5 [size=\"88588288\", alpha=\"0.13\", expect_size=\"44294144\"] \n  5 -> 36 [size =\"44294144\"]\n  5 -> 37 [size =\"44294144\"]\n  5 -> 41 [size =\"44294144\"]\n  5 -> 43 [size =\"44294144\"]\n  6 [size=\"41744384\", alpha=\"0.14\", expect_size=\"20872192\"] \n  6 -> 37 [size =\"20872192\"]\n  6 -> 40 [size =\"20872192\"]\n  6 -> 41 [size =\"20872192\"]\n  6 -> 43 [size =\"20872192\"]\n  6 -> 45 [size =\"20872192\"]\n  7 [size=\"60995584\", alpha=\"0.04\", expect_size=\"30497792\"] \n  7 -> 34 [size =\"30497792\"]\n  7 -> 38 [size =\"30497792\"]\n  7 -> 41 [size =\"30497792\"]\n  7 -> 43 [size =\"30497792\"]\n  7 -> 44 [size =\"30497792\"]\n  7 -> 45 [size =\"30497792\"]\n  8 [size=\"27332608\", alpha=\"0.08\", expect_size=\"13666304\"] \n  8 -> 34 [size =\"13666304\"]\n  8 -> 37 [size =\"13666304\"]\n  8 -> 38 [size =\"13666304\"]\n  8 -> 43 [size =\"13666304\"]\n  9 [size=\"13850624\", alpha=\"0.09\", expect_size=\"6925312\"] \n  9 -> 34 [size =\"6925312\"]\n  9 -> 35 [size =\"6925312\"]\n  9 -> 37 [size =\"6925312\"]\n  9 -> 38 [size =\"6925312\"]\n  9 -> 43 [size =\"6925312\"]\n  10 [size=\"39249920\", alpha=\"0.02\", expect_size=\"19624960\"] \n  10 -> 34 [size =\"19624960\"]\n  10 -> 37 [size =\"19624960\"]\n  10 -> 37 [size =\"19624960\"]\n  10 -> 38 [size =\"19624960\"]\n  10 -> 42 [size =\"19624960\"]\n  10 -> 43 [size =\"19624960\"]\n  11 [size=\"30257152\", alpha=\"0.07\", expect_size=\"15128576\"] \n  11 -> 37 [size =\"15128576\"]\n  11 -> 38 [size =\"15128576\"]\n  11 -> 41 [size =\"15128576\"]\n  11 -> 42 [size =\"15128576\"]\n  11 -> 43 [size =\"15128576\"]\n  11 -> 43 [size =\"15128576\"]\n  11 -> 44 [size =\"15128576\"]\n  12 [size=\"27817984\", alpha=\"0.07\", expect_size=\"13908992\"] \n  12 -> 34 [size =\"13908992\"]\n  12 -> 40 [size =\"13908992\"]\n  12 -> 41 [size =\"13908992\"]\n  12 -> 43 [size =\"13908992\"]\n  12 -> 45 [size =\"13908992\"]\n  13 [size=\"65077248\", alpha=\"0.15\", expect_size=\"32538624\"] \n  13 -> 34 [size =\"32538624\"]\n  13 -> 36 [size =\"32538624\"]\n  13 -> 43 [size =\"32538624\"]\n  14 [size=\"94654464\", alpha=\"0.13\", expect_size=\"47327232\"] \n  14 -> 34 [size =\"47327232\"]\n  14 -> 37 [size =\"47327232\"]\n  14 -> 38 [size =\"47327232\"]\n  14 -> 43 [size =\"47327232\"]\n  14 -> 45 [size =\"47327232\"]\n  15 [size=\"88432640\", alpha=\"0.09\", expect_size=\"44216320\"] \n  15 -> 34 [size =\"44216320\"]\n  15 -> 35 [size =\"44216320\"]\n  15 -> 37 [size =\"44216320\"]\n  15 -> 38 [size =\"44216320\"]\n  15 -> 39 [size =\"44216320\"]\n  15 -> 45 [size =\"44216320\"]\n  16 [size=\"55986176\", alpha=\"0.05\", expect_size=\"27993088\"] \n  16 -> 36 [size =\"27993088\"]\n  16 -> 37 [size =\"27993088\"]\n  16 -> 37 [size =\"27993088\"]\n  16 -> 38 [size =\"27993088\"]\n  16 -> 40 [size =\"27993088\"]\n  16 -> 45 [size =\"27993088\"]\n  17 [size=\"26079232\", alpha=\"0.09\", expect_size=\"13039616\"] \n  17 -> 34 [size =\"13039616\"]\n  17 -> 37 [size =\"13039616\"]\n  17 -> 38 [size =\"13039616\"]\n  17 -> 38 [size =\"13039616\"]\n  17 -> 40 [size =\"13039616\"]\n  17 -> 41 [size =\"13039616\"]\n  18 [size=\"43991040\", alpha=\"0.03\", expect_size=\"21995520\"] \n  18 -> 37 [size =\"21995520\"]\n  18 -> 38 [size =\"21995520\"]\n  18 -> 38 [size =\"21995520\"]\n  18 -> 45 [size =\"21995520\"]\n  19 [size=\"82120704\", alpha=\"0.15\", expect_size=\"41060352\"] \n  19 -> 34 [size =\"41060352\"]\n  19 -> 35 [size =\"41060352\"]\n  19 -> 39 [size =\"41060352\"]\n  19 -> 42 [size =\"41060352\"]\n  20 [size=\"32524288\", alpha=\"0.15\", expect_size=\"16262144\"] \n  20 -> 34 [size =\"16262144\"]\n  20 -> 35 [size =\"16262144\"]\n  20 -> 38 [size =\"16262144\"]\n  20 -> 39 [size =\"16262144\"]\n  20 -> 40 [size =\"16262144\"]\n  20 -> 41 [size =\"16262144\"]\n  20 -> 42 [size =\"16262144\"]\n  20 -> 43 [size =\"16262144\"]\n  20 -> 44 [size =\"16262144\"]\n  21 [size=\"40538112\", alpha=\"0.08\", expect_size=\"20269056\"] \n  21 -> 36 [size =\"20269056\"]\n  21 -> 38 [size =\"20269056\"]\n  21 -> 39 [size =\"20269056\"]\n  21 -> 41 [size =\"20269056\"]\n  21 -> 42 [size =\"20269056\"]\n  21 -> 45 [size =\"20269056\"]\n  22 [size=\"73492480\", alpha=\"0.15\", expect_size=\"36746240\"] \n  22 -> 37 [size =\"36746240\"]\n  22 -> 38 [size =\"36746240\"]\n  22 -> 39 [size =\"36746240\"]\n  22 -> 43 [size =\"36746240\"]\n  23 [size=\"13674496\", alpha=\"0.13\", expect_size=\"6837248\"] \n  23 -> 37 [size =\"6837248\"]\n  23 -> 38 [size =\"6837248\"]\n  24 [size=\"86642688\", alpha=\"0.15\", expect_size=\"43321344\"] \n  24 -> 38 [size =\"43321344\"]\n  24 -> 38 [size =\"43321344\"]\n  24 -> 43 [size =\"43321344\"]\n  24 -> 45 [size =\"43321344\"]\n  25 [size=\"51404800\", alpha=\"0.15\", expect_size=\"25702400\"] \n  25 -> 34 [size =\"25702400\"]\n  25 -> 37 [size =\"25702400\"]\n  25 -> 38 [size =\"25702400\"]\n  25 -> 40 [size =\"25702400\"]\n  25 -> 41 [size =\"25702400\"]\n  25 -> 42 [size =\"25702400\"]\n  25 -> 43 [size =\"25702400\"]\n  25 -> 45 [size =\"25702400\"]\n  26 [size=\"91830272\", alpha=\"0.01\", expect_size=\"45915136\"] \n  26 -> 37 [size =\"45915136\"]\n  26 -> 45 [size =\"45915136\"]\n  27 [size=\"18823168\", alpha=\"0.18\", expect_size=\"9411584\"] \n  27 -> 36 [size =\"9411584\"]\n  27 -> 38 [size =\"9411584\"]\n  27 -> 42 [size =\"9411584\"]\n  27 -> 45 [size =\"9411584\"]\n  28 [size=\"63504384\", alpha=\"0.18\", expect_size=\"31752192\"] \n  28 -> 37 [size =\"31752192\"]\n  28 -> 38 [size =\"31752192\"]\n  28 -> 39 [size =\"31752192\"]\n  28 -> 43 [size =\"31752192\"]\n  29 [size=\"78942208\", alpha=\"0.19\", expect_size=\"39471104\"] \n  29 -> 34 [size =\"39471104\"]\n  29 -> 38 [size =\"39471104\"]\n  29 -> 39 [size =\"39471104\"]\n  29 -> 43 [size =\"39471104\"]\n  29 -> 45 [size =\"39471104\"]\n  30 [size=\"56381440\", alpha=\"0.06\", expect_size=\"28190720\"] \n  30 -> 38 [size =\"28190720\"]\n  30 -> 38 [size =\"28190720\"]\n  30 -> 40 [size =\"28190720\"]\n  30 -> 41 [size =\"28190720\"]\n  30 -> 43 [size =\"28190720\"]\n  30 -> 45 [size =\"28190720\"]\n  31 [size=\"33069056\", alpha=\"0.18\", expect_size=\"16534528\"] \n  31 -> 34 [size =\"16534528\"]\n  31 -> 38 [size =\"16534528\"]\n  31 -> 39 [size =\"16534528\"]\n  31 -> 41 [size =\"16534528\"]\n  31 -> 43 [size =\"16534528\"]\n  31 -> 45 [size =\"16534528\"]\n  32 [size=\"70090752\", alpha=\"0.13\", expect_size=\"35045376\"] \n  32 -> 37 [size =\"35045376\"]\n  32 -> 38 [size =\"35045376\"]\n  32 -> 43 [size =\"35045376\"]\n  32 -> 44 [size =\"35045376\"]\n  32 -> 45 [size =\"35045376\"]\n  33 [size=\"44918784\", alpha=\"0.19\", expect_size=\"22459392\"] \n  33 -> 34 [size =\"22459392\"]\n  33 -> 37 [size =\"22459392\"]\n  33 -> 38 [size =\"22459392\"]\n  33 -> 41 [size =\"22459392\"]\n  33 -> 43 [size =\"22459392\"]\n  33 -> 45 [size =\"22459392\"]\n  34 [size=\"104245248\", alpha=\"0.04\", expect_size=\"52122624\"] \n  35 [size=\"82847744\", alpha=\"0.05\", expect_size=\"41423872\"] \n  36 [size=\"58832896\", alpha=\"0.15\", expect_size=\"29416448\"] \n  37 [size=\"63461376\", alpha=\"0.09\", expect_size=\"31730688\"] \n  38 [size=\"52869120\", alpha=\"0.10\", expect_size=\"26434560\"] \n  39 [size=\"43905024\", alpha=\"0.06\", expect_size=\"21952512\"] \n  40 [size=\"39936000\", alpha=\"0.07\", expect_size=\"19968000\"] \n  41 [size=\"69728256\", alpha=\"0.14\", expect_size=\"34864128\"] \n  42 [size=\"58679296\", alpha=\"0.15\", expect_size=\"29339648\"] \n  43 [size=\"24125440\", alpha=\"0.16\", expect_size=\"12062720\"] \n  44 [size=\"20658176\", alpha=\"0.14\", expect_size=\"10329088\"] \n  45 [size=\"38074368\", alpha=\"0.20\", expect_size=\"19037184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97551360\", alpha=\"0.08\", expect_size=\"39020544\"] \n  1 -> 2 [size =\"39020544\"]\n  2 [size=\"82406400\", alpha=\"0.19\", expect_size=\"32962560\"] \n  2 -> 3 [size =\"32962560\"]\n  3 [size=\"46312960\", alpha=\"0.01\", expect_size=\"18525184\"] \n  3 -> 4 [size =\"18525184\"]\n  4 [size=\"38924800\", alpha=\"0.18\", expect_size=\"15569920\"] \n  4 -> 5 [size =\"15569920\"]\n  5 [size=\"35927040\", alpha=\"0.11\", expect_size=\"14370816\"] \n  5 -> 6 [size =\"14370816\"]\n  6 [size=\"30609920\", alpha=\"0.01\", expect_size=\"12243968\"] \n  6 -> 7 [size =\"12243968\"]\n  7 [size=\"52912640\", alpha=\"0.19\", expect_size=\"21165056\"] \n  7 -> 8 [size =\"21165056\"]\n  8 [size=\"57018880\", alpha=\"0.12\", expect_size=\"22807552\"] \n  8 -> 9 [size =\"22807552\"]\n  9 [size=\"59770880\", alpha=\"0.16\", expect_size=\"23908352\"] \n  9 -> 10 [size =\"23908352\"]\n  10 [size=\"102182400\", alpha=\"0.13\", expect_size=\"40872960\"] \n  10 -> 11 [size =\"40872960\"]\n  11 [size=\"90511360\", alpha=\"0.15\", expect_size=\"36204544\"] \n  11 -> 12 [size =\"36204544\"]\n  12 [size=\"22612480\", alpha=\"0.01\", expect_size=\"9044992\"] \n  12 -> 13 [size =\"9044992\"]\n  13 [size=\"14958080\", alpha=\"0.03\", expect_size=\"5983232\"] \n  13 -> 14 [size =\"5983232\"]\n  14 [size=\"19015680\", alpha=\"0.09\", expect_size=\"7606272\"] \n  14 -> 15 [size =\"7606272\"]\n  15 [size=\"125276160\", alpha=\"0.15\", expect_size=\"50110464\"] \n  15 -> 16 [size =\"50110464\"]\n  16 [size=\"73822720\", alpha=\"0.05\", expect_size=\"29529088\"] \n  16 -> 17 [size =\"29529088\"]\n  17 [size=\"80181760\", alpha=\"0.16\", expect_size=\"32072704\"] \n  17 -> 18 [size =\"32072704\"]\n  18 [size=\"74086400\", alpha=\"0.09\", expect_size=\"29634560\"] \n  18 -> 19 [size =\"29634560\"]\n  19 [size=\"24757760\", alpha=\"0.09\", expect_size=\"9903104\"] \n  19 -> 20 [size =\"9903104\"]\n  20 [size=\"118197760\", alpha=\"0.16\", expect_size=\"47279104\"] \n  20 -> 21 [size =\"47279104\"]\n  21 [size=\"78005760\", alpha=\"0.18\", expect_size=\"31202304\"] \n  21 -> 22 [size =\"31202304\"]\n  22 [size=\"48414720\", alpha=\"0.11\", expect_size=\"19365888\"] \n  22 -> 23 [size =\"19365888\"]\n  23 [size=\"51520000\", alpha=\"0.10\", expect_size=\"20608000\"] \n  23 -> 24 [size =\"20608000\"]\n  24 [size=\"70794240\", alpha=\"0.14\", expect_size=\"28317696\"] \n  24 -> 25 [size =\"28317696\"]\n  25 [size=\"124610560\", alpha=\"0.01\", expect_size=\"49844224\"] \n  25 -> 26 [size =\"49844224\"]\n  26 [size=\"94704640\", alpha=\"0.12\", expect_size=\"37881856\"] \n  26 -> 27 [size =\"37881856\"]\n  27 [size=\"126945280\", alpha=\"0.09\", expect_size=\"50778112\"] \n  27 -> 28 [size =\"50778112\"]\n  28 [size=\"102586880\", alpha=\"0.13\", expect_size=\"41034752\"] \n  28 -> 29 [size =\"41034752\"]\n  29 [size=\"38384640\", alpha=\"0.06\", expect_size=\"15353856\"] \n  29 -> 30 [size =\"15353856\"]\n  30 [size=\"89344000\", alpha=\"0.13\", expect_size=\"35737600\"] \n  30 -> 31 [size =\"35737600\"]\n  31 [size=\"66145280\", alpha=\"0.14\", expect_size=\"26458112\"] \n  31 -> 32 [size =\"26458112\"]\n  32 [size=\"53240320\", alpha=\"0.16\", expect_size=\"21296128\"] \n  32 -> 33 [size =\"21296128\"]\n  33 [size=\"119925760\", alpha=\"0.19\", expect_size=\"47970304\"] \n  33 -> 34 [size =\"47970304\"]\n  34 [size=\"63480320\", alpha=\"0.02\", expect_size=\"25392128\"] \n  34 -> 35 [size =\"25392128\"]\n  35 [size=\"27686400\", alpha=\"0.05\", expect_size=\"11074560\"] \n  35 -> 36 [size =\"11074560\"]\n  36 [size=\"35363840\", alpha=\"0.18\", expect_size=\"14145536\"] \n  36 -> 37 [size =\"14145536\"]\n  37 [size=\"104017920\", alpha=\"0.02\", expect_size=\"41607168\"] \n  37 -> 38 [size =\"41607168\"]\n  38 [size=\"37527040\", alpha=\"0.17\", expect_size=\"15010816\"] \n  38 -> 39 [size =\"15010816\"]\n  39 [size=\"115732480\", alpha=\"0.13\", expect_size=\"46292992\"] \n  39 -> 40 [size =\"46292992\"]\n  40 [size=\"31400960\", alpha=\"0.08\", expect_size=\"12560384\"] \n  40 -> 41 [size =\"12560384\"]\n  41 [size=\"109544960\", alpha=\"0.13\", expect_size=\"43817984\"] \n  41 -> 42 [size =\"43817984\"]\n  42 [size=\"73671680\", alpha=\"0.05\", expect_size=\"29468672\"] \n  42 -> 43 [size =\"29468672\"]\n  43 [size=\"51253760\", alpha=\"0.03\", expect_size=\"20501504\"] \n  43 -> 44 [size =\"20501504\"]\n  44 [size=\"44142080\", alpha=\"0.10\", expect_size=\"17656832\"] \n  44 -> 45 [size =\"17656832\"]\n  45 [size=\"58250240\", alpha=\"0.17\", expect_size=\"23300096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44705792\", alpha=\"0.04\", expect_size=\"22352896\"] \n  1 -> 32 [size =\"22352896\"]\n  1 -> 34 [size =\"22352896\"]\n  1 -> 38 [size =\"22352896\"]\n  1 -> 43 [size =\"22352896\"]\n  2 [size=\"66211840\", alpha=\"0.02\", expect_size=\"33105920\"] \n  2 -> 34 [size =\"33105920\"]\n  2 -> 36 [size =\"33105920\"]\n  2 -> 38 [size =\"33105920\"]\n  3 [size=\"37191680\", alpha=\"0.17\", expect_size=\"18595840\"] \n  3 -> 38 [size =\"18595840\"]\n  4 [size=\"95866880\", alpha=\"0.03\", expect_size=\"47933440\"] \n  4 -> 38 [size =\"47933440\"]\n  4 -> 41 [size =\"47933440\"]\n  4 -> 43 [size =\"47933440\"]\n  5 [size=\"39112704\", alpha=\"0.18\", expect_size=\"19556352\"] \n  5 -> 32 [size =\"19556352\"]\n  5 -> 34 [size =\"19556352\"]\n  5 -> 36 [size =\"19556352\"]\n  5 -> 38 [size =\"19556352\"]\n  5 -> 39 [size =\"19556352\"]\n  5 -> 40 [size =\"19556352\"]\n  5 -> 41 [size =\"19556352\"]\n  5 -> 42 [size =\"19556352\"]\n  5 -> 44 [size =\"19556352\"]\n  6 [size=\"95356928\", alpha=\"0.07\", expect_size=\"47678464\"] \n  6 -> 37 [size =\"47678464\"]\n  6 -> 38 [size =\"47678464\"]\n  6 -> 39 [size =\"47678464\"]\n  6 -> 41 [size =\"47678464\"]\n  6 -> 42 [size =\"47678464\"]\n  6 -> 43 [size =\"47678464\"]\n  6 -> 44 [size =\"47678464\"]\n  7 [size=\"89538560\", alpha=\"0.10\", expect_size=\"44769280\"] \n  7 -> 31 [size =\"44769280\"]\n  7 -> 33 [size =\"44769280\"]\n  7 -> 36 [size =\"44769280\"]\n  7 -> 38 [size =\"44769280\"]\n  7 -> 42 [size =\"44769280\"]\n  7 -> 43 [size =\"44769280\"]\n  7 -> 44 [size =\"44769280\"]\n  8 [size=\"27314176\", alpha=\"0.17\", expect_size=\"13657088\"] \n  8 -> 31 [size =\"13657088\"]\n  8 -> 33 [size =\"13657088\"]\n  8 -> 34 [size =\"13657088\"]\n  8 -> 36 [size =\"13657088\"]\n  8 -> 38 [size =\"13657088\"]\n  8 -> 42 [size =\"13657088\"]\n  8 -> 44 [size =\"13657088\"]\n  9 [size=\"94736384\", alpha=\"0.17\", expect_size=\"47368192\"] \n  9 -> 33 [size =\"47368192\"]\n  9 -> 37 [size =\"47368192\"]\n  9 -> 38 [size =\"47368192\"]\n  9 -> 40 [size =\"47368192\"]\n  9 -> 42 [size =\"47368192\"]\n  9 -> 44 [size =\"47368192\"]\n  10 [size=\"18163712\", alpha=\"0.08\", expect_size=\"9081856\"] \n  10 -> 33 [size =\"9081856\"]\n  10 -> 34 [size =\"9081856\"]\n  10 -> 37 [size =\"9081856\"]\n  10 -> 38 [size =\"9081856\"]\n  10 -> 41 [size =\"9081856\"]\n  10 -> 42 [size =\"9081856\"]\n  10 -> 44 [size =\"9081856\"]\n  11 [size=\"23891968\", alpha=\"0.09\", expect_size=\"11945984\"] \n  11 -> 32 [size =\"11945984\"]\n  11 -> 33 [size =\"11945984\"]\n  11 -> 34 [size =\"11945984\"]\n  11 -> 35 [size =\"11945984\"]\n  11 -> 36 [size =\"11945984\"]\n  11 -> 37 [size =\"11945984\"]\n  11 -> 38 [size =\"11945984\"]\n  11 -> 40 [size =\"11945984\"]\n  11 -> 43 [size =\"11945984\"]\n  11 -> 44 [size =\"11945984\"]\n  12 [size=\"44148736\", alpha=\"0.08\", expect_size=\"22074368\"] \n  12 -> 31 [size =\"22074368\"]\n  12 -> 34 [size =\"22074368\"]\n  12 -> 36 [size =\"22074368\"]\n  12 -> 38 [size =\"22074368\"]\n  12 -> 43 [size =\"22074368\"]\n  12 -> 44 [size =\"22074368\"]\n  13 [size=\"51701760\", alpha=\"0.14\", expect_size=\"25850880\"] \n  13 -> 31 [size =\"25850880\"]\n  13 -> 36 [size =\"25850880\"]\n  13 -> 37 [size =\"25850880\"]\n  13 -> 38 [size =\"25850880\"]\n  13 -> 41 [size =\"25850880\"]\n  13 -> 43 [size =\"25850880\"]\n  13 -> 45 [size =\"25850880\"]\n  14 [size=\"38240256\", alpha=\"0.03\", expect_size=\"19120128\"] \n  14 -> 33 [size =\"19120128\"]\n  14 -> 36 [size =\"19120128\"]\n  14 -> 38 [size =\"19120128\"]\n  14 -> 39 [size =\"19120128\"]\n  14 -> 41 [size =\"19120128\"]\n  14 -> 42 [size =\"19120128\"]\n  14 -> 43 [size =\"19120128\"]\n  14 -> 44 [size =\"19120128\"]\n  15 [size=\"52240384\", alpha=\"0.16\", expect_size=\"26120192\"] \n  15 -> 31 [size =\"26120192\"]\n  15 -> 32 [size =\"26120192\"]\n  15 -> 34 [size =\"26120192\"]\n  15 -> 36 [size =\"26120192\"]\n  15 -> 38 [size =\"26120192\"]\n  15 -> 43 [size =\"26120192\"]\n  15 -> 44 [size =\"26120192\"]\n  16 [size=\"41973760\", alpha=\"0.17\", expect_size=\"20986880\"] \n  16 -> 31 [size =\"20986880\"]\n  16 -> 33 [size =\"20986880\"]\n  16 -> 36 [size =\"20986880\"]\n  16 -> 39 [size =\"20986880\"]\n  16 -> 41 [size =\"20986880\"]\n  16 -> 43 [size =\"20986880\"]\n  17 [size=\"74129408\", alpha=\"0.07\", expect_size=\"37064704\"] \n  17 -> 31 [size =\"37064704\"]\n  17 -> 37 [size =\"37064704\"]\n  17 -> 38 [size =\"37064704\"]\n  17 -> 40 [size =\"37064704\"]\n  17 -> 41 [size =\"37064704\"]\n  17 -> 44 [size =\"37064704\"]\n  18 [size=\"28205056\", alpha=\"0.10\", expect_size=\"14102528\"] \n  18 -> 31 [size =\"14102528\"]\n  18 -> 34 [size =\"14102528\"]\n  18 -> 37 [size =\"14102528\"]\n  18 -> 39 [size =\"14102528\"]\n  18 -> 40 [size =\"14102528\"]\n  18 -> 41 [size =\"14102528\"]\n  18 -> 42 [size =\"14102528\"]\n  19 [size=\"12730368\", alpha=\"0.18\", expect_size=\"6365184\"] \n  19 -> 31 [size =\"6365184\"]\n  19 -> 32 [size =\"6365184\"]\n  19 -> 36 [size =\"6365184\"]\n  19 -> 37 [size =\"6365184\"]\n  19 -> 39 [size =\"6365184\"]\n  19 -> 41 [size =\"6365184\"]\n  19 -> 42 [size =\"6365184\"]\n  19 -> 43 [size =\"6365184\"]\n  20 [size=\"94105600\", alpha=\"0.07\", expect_size=\"47052800\"] \n  20 -> 31 [size =\"47052800\"]\n  20 -> 32 [size =\"47052800\"]\n  20 -> 36 [size =\"47052800\"]\n  20 -> 37 [size =\"47052800\"]\n  20 -> 39 [size =\"47052800\"]\n  20 -> 41 [size =\"47052800\"]\n  20 -> 42 [size =\"47052800\"]\n  20 -> 43 [size =\"47052800\"]\n  21 [size=\"38397952\", alpha=\"0.04\", expect_size=\"19198976\"] \n  21 -> 31 [size =\"19198976\"]\n  21 -> 32 [size =\"19198976\"]\n  21 -> 36 [size =\"19198976\"]\n  21 -> 37 [size =\"19198976\"]\n  21 -> 39 [size =\"19198976\"]\n  21 -> 42 [size =\"19198976\"]\n  21 -> 43 [size =\"19198976\"]\n  21 -> 43 [size =\"19198976\"]\n  21 -> 44 [size =\"19198976\"]\n  21 -> 45 [size =\"19198976\"]\n  22 [size=\"81676288\", alpha=\"0.13\", expect_size=\"40838144\"] \n  22 -> 31 [size =\"40838144\"]\n  22 -> 33 [size =\"40838144\"]\n  22 -> 35 [size =\"40838144\"]\n  22 -> 36 [size =\"40838144\"]\n  22 -> 39 [size =\"40838144\"]\n  22 -> 41 [size =\"40838144\"]\n  22 -> 43 [size =\"40838144\"]\n  22 -> 44 [size =\"40838144\"]\n  22 -> 44 [size =\"40838144\"]\n  23 [size=\"27389952\", alpha=\"0.07\", expect_size=\"13694976\"] \n  23 -> 31 [size =\"13694976\"]\n  23 -> 32 [size =\"13694976\"]\n  23 -> 33 [size =\"13694976\"]\n  23 -> 36 [size =\"13694976\"]\n  23 -> 43 [size =\"13694976\"]\n  23 -> 44 [size =\"13694976\"]\n  24 [size=\"91246592\", alpha=\"0.19\", expect_size=\"45623296\"] \n  24 -> 31 [size =\"45623296\"]\n  24 -> 32 [size =\"45623296\"]\n  24 -> 34 [size =\"45623296\"]\n  24 -> 37 [size =\"45623296\"]\n  24 -> 39 [size =\"45623296\"]\n  24 -> 42 [size =\"45623296\"]\n  24 -> 43 [size =\"45623296\"]\n  24 -> 44 [size =\"45623296\"]\n  25 [size=\"104728576\", alpha=\"0.18\", expect_size=\"52364288\"] \n  25 -> 31 [size =\"52364288\"]\n  25 -> 32 [size =\"52364288\"]\n  25 -> 33 [size =\"52364288\"]\n  25 -> 34 [size =\"52364288\"]\n  25 -> 37 [size =\"52364288\"]\n  25 -> 41 [size =\"52364288\"]\n  25 -> 42 [size =\"52364288\"]\n  25 -> 43 [size =\"52364288\"]\n  25 -> 44 [size =\"52364288\"]\n  26 [size=\"85133312\", alpha=\"0.14\", expect_size=\"42566656\"] \n  26 -> 31 [size =\"42566656\"]\n  26 -> 34 [size =\"42566656\"]\n  26 -> 36 [size =\"42566656\"]\n  26 -> 39 [size =\"42566656\"]\n  26 -> 41 [size =\"42566656\"]\n  26 -> 42 [size =\"42566656\"]\n  26 -> 43 [size =\"42566656\"]\n  27 [size=\"73293824\", alpha=\"0.08\", expect_size=\"36646912\"] \n  27 -> 31 [size =\"36646912\"]\n  27 -> 32 [size =\"36646912\"]\n  27 -> 33 [size =\"36646912\"]\n  27 -> 37 [size =\"36646912\"]\n  27 -> 41 [size =\"36646912\"]\n  28 [size=\"12173312\", alpha=\"0.04\", expect_size=\"6086656\"] \n  28 -> 31 [size =\"6086656\"]\n  28 -> 33 [size =\"6086656\"]\n  28 -> 37 [size =\"6086656\"]\n  28 -> 41 [size =\"6086656\"]\n  28 -> 42 [size =\"6086656\"]\n  28 -> 43 [size =\"6086656\"]\n  28 -> 45 [size =\"6086656\"]\n  29 [size=\"57245696\", alpha=\"0.19\", expect_size=\"28622848\"] \n  29 -> 32 [size =\"28622848\"]\n  29 -> 33 [size =\"28622848\"]\n  29 -> 36 [size =\"28622848\"]\n  29 -> 37 [size =\"28622848\"]\n  29 -> 38 [size =\"28622848\"]\n  29 -> 41 [size =\"28622848\"]\n  29 -> 44 [size =\"28622848\"]\n  30 [size=\"45656064\", alpha=\"0.15\", expect_size=\"22828032\"] \n  30 -> 34 [size =\"22828032\"]\n  30 -> 36 [size =\"22828032\"]\n  30 -> 37 [size =\"22828032\"]\n  30 -> 37 [size =\"22828032\"]\n  30 -> 42 [size =\"22828032\"]\n  30 -> 43 [size =\"22828032\"]\n  31 [size=\"79403008\", alpha=\"0.15\", expect_size=\"39701504\"] \n  32 [size=\"98336768\", alpha=\"0.01\", expect_size=\"49168384\"] \n  33 [size=\"63811584\", alpha=\"0.16\", expect_size=\"31905792\"] \n  34 [size=\"96907264\", alpha=\"0.17\", expect_size=\"48453632\"] \n  35 [size=\"94261248\", alpha=\"0.06\", expect_size=\"47130624\"] \n  36 [size=\"84500480\", alpha=\"0.03\", expect_size=\"42250240\"] \n  37 [size=\"58130432\", alpha=\"0.13\", expect_size=\"29065216\"] \n  38 [size=\"94199808\", alpha=\"0.06\", expect_size=\"47099904\"] \n  39 [size=\"20795392\", alpha=\"0.00\", expect_size=\"10397696\"] \n  40 [size=\"16541696\", alpha=\"0.12\", expect_size=\"8270848\"] \n  41 [size=\"89116672\", alpha=\"0.10\", expect_size=\"44558336\"] \n  42 [size=\"63186944\", alpha=\"0.03\", expect_size=\"31593472\"] \n  43 [size=\"66783232\", alpha=\"0.19\", expect_size=\"33391616\"] \n  44 [size=\"46755840\", alpha=\"0.13\", expect_size=\"23377920\"] \n  45 [size=\"30855168\", alpha=\"0.06\", expect_size=\"15427584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12609536\", alpha=\"0.19\", expect_size=\"6304768\"] \n  1 -> 15 [size =\"6304768\"]\n  1 -> 18 [size =\"6304768\"]\n  1 -> 20 [size =\"6304768\"]\n  1 -> 21 [size =\"6304768\"]\n  1 -> 25 [size =\"6304768\"]\n  1 -> 25 [size =\"6304768\"]\n  2 [size=\"98820096\", alpha=\"0.13\", expect_size=\"49410048\"] \n  2 -> 14 [size =\"49410048\"]\n  2 -> 15 [size =\"49410048\"]\n  2 -> 18 [size =\"49410048\"]\n  2 -> 19 [size =\"49410048\"]\n  2 -> 21 [size =\"49410048\"]\n  2 -> 25 [size =\"49410048\"]\n  3 [size=\"60172288\", alpha=\"0.05\", expect_size=\"30086144\"] \n  3 -> 15 [size =\"30086144\"]\n  3 -> 17 [size =\"30086144\"]\n  3 -> 19 [size =\"30086144\"]\n  3 -> 20 [size =\"30086144\"]\n  3 -> 22 [size =\"30086144\"]\n  3 -> 23 [size =\"30086144\"]\n  3 -> 25 [size =\"30086144\"]\n  4 [size=\"87326720\", alpha=\"0.09\", expect_size=\"43663360\"] \n  4 -> 16 [size =\"43663360\"]\n  4 -> 19 [size =\"43663360\"]\n  4 -> 20 [size =\"43663360\"]\n  4 -> 20 [size =\"43663360\"]\n  4 -> 21 [size =\"43663360\"]\n  4 -> 22 [size =\"43663360\"]\n  5 [size=\"42131456\", alpha=\"0.03\", expect_size=\"21065728\"] \n  5 -> 15 [size =\"21065728\"]\n  5 -> 16 [size =\"21065728\"]\n  5 -> 21 [size =\"21065728\"]\n  5 -> 26 [size =\"21065728\"]\n  6 [size=\"81489920\", alpha=\"0.15\", expect_size=\"40744960\"] \n  6 -> 15 [size =\"40744960\"]\n  6 -> 18 [size =\"40744960\"]\n  6 -> 21 [size =\"40744960\"]\n  6 -> 24 [size =\"40744960\"]\n  7 [size=\"14821376\", alpha=\"0.03\", expect_size=\"7410688\"] \n  7 -> 21 [size =\"7410688\"]\n  7 -> 23 [size =\"7410688\"]\n  7 -> 26 [size =\"7410688\"]\n  8 [size=\"74946560\", alpha=\"0.11\", expect_size=\"37473280\"] \n  8 -> 14 [size =\"37473280\"]\n  8 -> 16 [size =\"37473280\"]\n  8 -> 21 [size =\"37473280\"]\n  8 -> 23 [size =\"37473280\"]\n  8 -> 25 [size =\"37473280\"]\n  9 [size=\"44519424\", alpha=\"0.05\", expect_size=\"22259712\"] \n  9 -> 16 [size =\"22259712\"]\n  9 -> 19 [size =\"22259712\"]\n  9 -> 20 [size =\"22259712\"]\n  9 -> 21 [size =\"22259712\"]\n  9 -> 25 [size =\"22259712\"]\n  10 [size=\"75507712\", alpha=\"0.13\", expect_size=\"37753856\"] \n  10 -> 18 [size =\"37753856\"]\n  10 -> 19 [size =\"37753856\"]\n  10 -> 20 [size =\"37753856\"]\n  10 -> 21 [size =\"37753856\"]\n  10 -> 25 [size =\"37753856\"]\n  11 [size=\"55767040\", alpha=\"0.04\", expect_size=\"27883520\"] \n  11 -> 14 [size =\"27883520\"]\n  11 -> 17 [size =\"27883520\"]\n  11 -> 19 [size =\"27883520\"]\n  11 -> 21 [size =\"27883520\"]\n  11 -> 25 [size =\"27883520\"]\n  12 [size=\"52889600\", alpha=\"0.08\", expect_size=\"26444800\"] \n  12 -> 14 [size =\"26444800\"]\n  12 -> 17 [size =\"26444800\"]\n  12 -> 19 [size =\"26444800\"]\n  12 -> 21 [size =\"26444800\"]\n  12 -> 25 [size =\"26444800\"]\n  13 [size=\"20738048\", alpha=\"0.13\", expect_size=\"10369024\"] \n  13 -> 15 [size =\"10369024\"]\n  13 -> 18 [size =\"10369024\"]\n  13 -> 21 [size =\"10369024\"]\n  13 -> 22 [size =\"10369024\"]\n  13 -> 24 [size =\"10369024\"]\n  13 -> 25 [size =\"10369024\"]\n  14 [size=\"42260480\", alpha=\"0.01\", expect_size=\"21130240\"] \n  14 -> 27 [size =\"21130240\"]\n  14 -> 28 [size =\"21130240\"]\n  14 -> 31 [size =\"21130240\"]\n  14 -> 32 [size =\"21130240\"]\n  14 -> 33 [size =\"21130240\"]\n  14 -> 36 [size =\"21130240\"]\n  14 -> 39 [size =\"21130240\"]\n  15 [size=\"86378496\", alpha=\"0.01\", expect_size=\"43189248\"] \n  15 -> 27 [size =\"43189248\"]\n  15 -> 29 [size =\"43189248\"]\n  15 -> 31 [size =\"43189248\"]\n  15 -> 32 [size =\"43189248\"]\n  15 -> 33 [size =\"43189248\"]\n  15 -> 34 [size =\"43189248\"]\n  15 -> 36 [size =\"43189248\"]\n  15 -> 39 [size =\"43189248\"]\n  16 [size=\"100298752\", alpha=\"0.13\", expect_size=\"50149376\"] \n  16 -> 27 [size =\"50149376\"]\n  16 -> 28 [size =\"50149376\"]\n  16 -> 30 [size =\"50149376\"]\n  16 -> 31 [size =\"50149376\"]\n  16 -> 33 [size =\"50149376\"]\n  16 -> 34 [size =\"50149376\"]\n  16 -> 35 [size =\"50149376\"]\n  16 -> 37 [size =\"50149376\"]\n  16 -> 38 [size =\"50149376\"]\n  16 -> 39 [size =\"50149376\"]\n  17 [size=\"75651072\", alpha=\"0.09\", expect_size=\"37825536\"] \n  17 -> 27 [size =\"37825536\"]\n  17 -> 28 [size =\"37825536\"]\n  17 -> 30 [size =\"37825536\"]\n  17 -> 34 [size =\"37825536\"]\n  17 -> 35 [size =\"37825536\"]\n  17 -> 39 [size =\"37825536\"]\n  18 [size=\"89556992\", alpha=\"0.13\", expect_size=\"44778496\"] \n  18 -> 27 [size =\"44778496\"]\n  18 -> 28 [size =\"44778496\"]\n  18 -> 30 [size =\"44778496\"]\n  18 -> 33 [size =\"44778496\"]\n  18 -> 34 [size =\"44778496\"]\n  18 -> 35 [size =\"44778496\"]\n  18 -> 36 [size =\"44778496\"]\n  18 -> 38 [size =\"44778496\"]\n  18 -> 39 [size =\"44778496\"]\n  19 [size=\"48072704\", alpha=\"0.00\", expect_size=\"24036352\"] \n  19 -> 27 [size =\"24036352\"]\n  19 -> 28 [size =\"24036352\"]\n  19 -> 30 [size =\"24036352\"]\n  19 -> 33 [size =\"24036352\"]\n  19 -> 34 [size =\"24036352\"]\n  19 -> 35 [size =\"24036352\"]\n  19 -> 39 [size =\"24036352\"]\n  20 [size=\"73164800\", alpha=\"0.14\", expect_size=\"36582400\"] \n  20 -> 27 [size =\"36582400\"]\n  20 -> 28 [size =\"36582400\"]\n  20 -> 31 [size =\"36582400\"]\n  20 -> 33 [size =\"36582400\"]\n  20 -> 34 [size =\"36582400\"]\n  20 -> 35 [size =\"36582400\"]\n  20 -> 38 [size =\"36582400\"]\n  20 -> 39 [size =\"36582400\"]\n  21 [size=\"39110656\", alpha=\"0.08\", expect_size=\"19555328\"] \n  21 -> 27 [size =\"19555328\"]\n  21 -> 28 [size =\"19555328\"]\n  21 -> 31 [size =\"19555328\"]\n  21 -> 33 [size =\"19555328\"]\n  21 -> 35 [size =\"19555328\"]\n  21 -> 35 [size =\"19555328\"]\n  22 [size=\"59123712\", alpha=\"0.01\", expect_size=\"29561856\"] \n  22 -> 27 [size =\"29561856\"]\n  22 -> 28 [size =\"29561856\"]\n  22 -> 33 [size =\"29561856\"]\n  22 -> 33 [size =\"29561856\"]\n  22 -> 34 [size =\"29561856\"]\n  22 -> 35 [size =\"29561856\"]\n  22 -> 39 [size =\"29561856\"]\n  23 [size=\"96303104\", alpha=\"0.04\", expect_size=\"48151552\"] \n  23 -> 27 [size =\"48151552\"]\n  23 -> 28 [size =\"48151552\"]\n  23 -> 30 [size =\"48151552\"]\n  23 -> 33 [size =\"48151552\"]\n  23 -> 34 [size =\"48151552\"]\n  23 -> 35 [size =\"48151552\"]\n  23 -> 39 [size =\"48151552\"]\n  24 [size=\"64823296\", alpha=\"0.04\", expect_size=\"32411648\"] \n  24 -> 28 [size =\"32411648\"]\n  24 -> 34 [size =\"32411648\"]\n  24 -> 35 [size =\"32411648\"]\n  24 -> 36 [size =\"32411648\"]\n  24 -> 39 [size =\"32411648\"]\n  25 [size=\"67592192\", alpha=\"0.10\", expect_size=\"33796096\"] \n  25 -> 27 [size =\"33796096\"]\n  25 -> 28 [size =\"33796096\"]\n  25 -> 30 [size =\"33796096\"]\n  25 -> 35 [size =\"33796096\"]\n  25 -> 39 [size =\"33796096\"]\n  26 [size=\"70920192\", alpha=\"0.12\", expect_size=\"35460096\"] \n  26 -> 27 [size =\"35460096\"]\n  26 -> 30 [size =\"35460096\"]\n  26 -> 31 [size =\"35460096\"]\n  26 -> 35 [size =\"35460096\"]\n  26 -> 36 [size =\"35460096\"]\n  26 -> 38 [size =\"35460096\"]\n  26 -> 39 [size =\"35460096\"]\n  27 [size=\"39124992\", alpha=\"0.14\", expect_size=\"19562496\"] \n  27 -> 42 [size =\"19562496\"]\n  27 -> 43 [size =\"19562496\"]\n  27 -> 44 [size =\"19562496\"]\n  28 [size=\"79599616\", alpha=\"0.10\", expect_size=\"39799808\"] \n  28 -> 42 [size =\"39799808\"]\n  29 [size=\"44896256\", alpha=\"0.13\", expect_size=\"22448128\"] \n  29 -> 42 [size =\"22448128\"]\n  29 -> 43 [size =\"22448128\"]\n  30 [size=\"47058944\", alpha=\"0.10\", expect_size=\"23529472\"] \n  30 -> 40 [size =\"23529472\"]\n  30 -> 42 [size =\"23529472\"]\n  30 -> 43 [size =\"23529472\"]\n  30 -> 44 [size =\"23529472\"]\n  31 [size=\"19236864\", alpha=\"0.17\", expect_size=\"9618432\"] \n  31 -> 42 [size =\"9618432\"]\n  31 -> 43 [size =\"9618432\"]\n  31 -> 44 [size =\"9618432\"]\n  32 [size=\"57927680\", alpha=\"0.12\", expect_size=\"28963840\"] \n  32 -> 40 [size =\"28963840\"]\n  32 -> 42 [size =\"28963840\"]\n  32 -> 43 [size =\"28963840\"]\n  32 -> 44 [size =\"28963840\"]\n  33 [size=\"62724096\", alpha=\"0.10\", expect_size=\"31362048\"] \n  33 -> 42 [size =\"31362048\"]\n  33 -> 43 [size =\"31362048\"]\n  33 -> 43 [size =\"31362048\"]\n  33 -> 44 [size =\"31362048\"]\n  34 [size=\"83312640\", alpha=\"0.14\", expect_size=\"41656320\"] \n  34 -> 44 [size =\"41656320\"]\n  35 [size=\"102164480\", alpha=\"0.15\", expect_size=\"51082240\"] \n  35 -> 40 [size =\"51082240\"]\n  35 -> 44 [size =\"51082240\"]\n  35 -> 45 [size =\"51082240\"]\n  36 [size=\"56557568\", alpha=\"0.15\", expect_size=\"28278784\"] \n  36 -> 41 [size =\"28278784\"]\n  36 -> 42 [size =\"28278784\"]\n  36 -> 43 [size =\"28278784\"]\n  36 -> 44 [size =\"28278784\"]\n  36 -> 45 [size =\"28278784\"]\n  37 [size=\"17496064\", alpha=\"0.08\", expect_size=\"8748032\"] \n  37 -> 40 [size =\"8748032\"]\n  37 -> 41 [size =\"8748032\"]\n  37 -> 42 [size =\"8748032\"]\n  37 -> 43 [size =\"8748032\"]\n  37 -> 45 [size =\"8748032\"]\n  38 [size=\"83687424\", alpha=\"0.18\", expect_size=\"41843712\"] \n  38 -> 40 [size =\"41843712\"]\n  38 -> 43 [size =\"41843712\"]\n  38 -> 44 [size =\"41843712\"]\n  38 -> 45 [size =\"41843712\"]\n  38 -> 45 [size =\"41843712\"]\n  39 [size=\"36476928\", alpha=\"0.16\", expect_size=\"18238464\"] \n  39 -> 42 [size =\"18238464\"]\n  39 -> 44 [size =\"18238464\"]\n  39 -> 44 [size =\"18238464\"]\n  39 -> 45 [size =\"18238464\"]\n  40 [size=\"98648064\", alpha=\"0.08\", expect_size=\"49324032\"] \n  41 [size=\"52103168\", alpha=\"0.05\", expect_size=\"26051584\"] \n  42 [size=\"36499456\", alpha=\"0.13\", expect_size=\"18249728\"] \n  43 [size=\"94238720\", alpha=\"0.19\", expect_size=\"47119360\"] \n  44 [size=\"46829568\", alpha=\"0.16\", expect_size=\"23414784\"] \n  45 [size=\"20422656\", alpha=\"0.06\", expect_size=\"10211328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145742507\", alpha=\"0.03\", expect_size=\"43722752\"] \n  1 -> 30 [size =\"43722752\"]\n  1 -> 31 [size =\"43722752\"]\n  1 -> 33 [size =\"43722752\"]\n  1 -> 42 [size =\"43722752\"]\n  2 [size=\"159921493\", alpha=\"0.07\", expect_size=\"47976448\"] \n  2 -> 29 [size =\"47976448\"]\n  2 -> 31 [size =\"47976448\"]\n  2 -> 33 [size =\"47976448\"]\n  2 -> 34 [size =\"47976448\"]\n  2 -> 35 [size =\"47976448\"]\n  2 -> 39 [size =\"47976448\"]\n  2 -> 44 [size =\"47976448\"]\n  3 [size=\"49513813\", alpha=\"0.19\", expect_size=\"14854144\"] \n  3 -> 29 [size =\"14854144\"]\n  3 -> 30 [size =\"14854144\"]\n  3 -> 33 [size =\"14854144\"]\n  3 -> 34 [size =\"14854144\"]\n  3 -> 39 [size =\"14854144\"]\n  3 -> 40 [size =\"14854144\"]\n  3 -> 41 [size =\"14854144\"]\n  4 [size=\"119186773\", alpha=\"0.17\", expect_size=\"35756032\"] \n  4 -> 29 [size =\"35756032\"]\n  4 -> 30 [size =\"35756032\"]\n  4 -> 31 [size =\"35756032\"]\n  4 -> 32 [size =\"35756032\"]\n  4 -> 33 [size =\"35756032\"]\n  4 -> 34 [size =\"35756032\"]\n  4 -> 35 [size =\"35756032\"]\n  4 -> 39 [size =\"35756032\"]\n  4 -> 43 [size =\"35756032\"]\n  5 [size=\"44219733\", alpha=\"0.04\", expect_size=\"13265920\"] \n  5 -> 30 [size =\"13265920\"]\n  5 -> 33 [size =\"13265920\"]\n  5 -> 39 [size =\"13265920\"]\n  5 -> 40 [size =\"13265920\"]\n  6 [size=\"43591680\", alpha=\"0.12\", expect_size=\"13077504\"] \n  6 -> 29 [size =\"13077504\"]\n  6 -> 30 [size =\"13077504\"]\n  6 -> 33 [size =\"13077504\"]\n  6 -> 39 [size =\"13077504\"]\n  6 -> 43 [size =\"13077504\"]\n  6 -> 45 [size =\"13077504\"]\n  7 [size=\"148578987\", alpha=\"0.15\", expect_size=\"44573696\"] \n  7 -> 30 [size =\"44573696\"]\n  7 -> 33 [size =\"44573696\"]\n  7 -> 33 [size =\"44573696\"]\n  7 -> 34 [size =\"44573696\"]\n  7 -> 35 [size =\"44573696\"]\n  7 -> 39 [size =\"44573696\"]\n  7 -> 43 [size =\"44573696\"]\n  7 -> 44 [size =\"44573696\"]\n  8 [size=\"36706987\", alpha=\"0.10\", expect_size=\"11012096\"] \n  8 -> 29 [size =\"11012096\"]\n  8 -> 35 [size =\"11012096\"]\n  8 -> 39 [size =\"11012096\"]\n  9 [size=\"144469333\", alpha=\"0.14\", expect_size=\"43340800\"] \n  9 -> 29 [size =\"43340800\"]\n  9 -> 30 [size =\"43340800\"]\n  9 -> 31 [size =\"43340800\"]\n  9 -> 32 [size =\"43340800\"]\n  9 -> 38 [size =\"43340800\"]\n  9 -> 39 [size =\"43340800\"]\n  10 [size=\"36952747\", alpha=\"0.15\", expect_size=\"11085824\"] \n  10 -> 39 [size =\"11085824\"]\n  10 -> 43 [size =\"11085824\"]\n  11 [size=\"60187307\", alpha=\"0.01\", expect_size=\"18056192\"] \n  11 -> 35 [size =\"18056192\"]\n  11 -> 39 [size =\"18056192\"]\n  11 -> 40 [size =\"18056192\"]\n  11 -> 43 [size =\"18056192\"]\n  12 [size=\"81005227\", alpha=\"0.16\", expect_size=\"24301568\"] \n  12 -> 30 [size =\"24301568\"]\n  12 -> 31 [size =\"24301568\"]\n  12 -> 32 [size =\"24301568\"]\n  12 -> 34 [size =\"24301568\"]\n  12 -> 35 [size =\"24301568\"]\n  12 -> 39 [size =\"24301568\"]\n  12 -> 40 [size =\"24301568\"]\n  12 -> 43 [size =\"24301568\"]\n  13 [size=\"132662613\", alpha=\"0.03\", expect_size=\"39798784\"] \n  13 -> 30 [size =\"39798784\"]\n  13 -> 32 [size =\"39798784\"]\n  13 -> 34 [size =\"39798784\"]\n  13 -> 36 [size =\"39798784\"]\n  13 -> 39 [size =\"39798784\"]\n  13 -> 40 [size =\"39798784\"]\n  13 -> 43 [size =\"39798784\"]\n  14 [size=\"125088427\", alpha=\"0.07\", expect_size=\"37526528\"] \n  14 -> 29 [size =\"37526528\"]\n  14 -> 30 [size =\"37526528\"]\n  14 -> 31 [size =\"37526528\"]\n  14 -> 33 [size =\"37526528\"]\n  14 -> 34 [size =\"37526528\"]\n  14 -> 38 [size =\"37526528\"]\n  14 -> 39 [size =\"37526528\"]\n  14 -> 43 [size =\"37526528\"]\n  15 [size=\"98300587\", alpha=\"0.03\", expect_size=\"29490176\"] \n  15 -> 29 [size =\"29490176\"]\n  15 -> 30 [size =\"29490176\"]\n  15 -> 33 [size =\"29490176\"]\n  15 -> 34 [size =\"29490176\"]\n  15 -> 39 [size =\"29490176\"]\n  15 -> 43 [size =\"29490176\"]\n  16 [size=\"131426987\", alpha=\"0.11\", expect_size=\"39428096\"] \n  16 -> 29 [size =\"39428096\"]\n  16 -> 30 [size =\"39428096\"]\n  16 -> 32 [size =\"39428096\"]\n  16 -> 33 [size =\"39428096\"]\n  16 -> 41 [size =\"39428096\"]\n  16 -> 43 [size =\"39428096\"]\n  16 -> 44 [size =\"39428096\"]\n  17 [size=\"71758507\", alpha=\"0.12\", expect_size=\"21527552\"] \n  17 -> 28 [size =\"21527552\"]\n  17 -> 31 [size =\"21527552\"]\n  17 -> 33 [size =\"21527552\"]\n  17 -> 33 [size =\"21527552\"]\n  17 -> 34 [size =\"21527552\"]\n  17 -> 35 [size =\"21527552\"]\n  17 -> 38 [size =\"21527552\"]\n  17 -> 42 [size =\"21527552\"]\n  17 -> 43 [size =\"21527552\"]\n  18 [size=\"30679040\", alpha=\"0.08\", expect_size=\"9203712\"] \n  18 -> 29 [size =\"9203712\"]\n  18 -> 30 [size =\"9203712\"]\n  18 -> 31 [size =\"9203712\"]\n  18 -> 32 [size =\"9203712\"]\n  18 -> 34 [size =\"9203712\"]\n  18 -> 35 [size =\"9203712\"]\n  18 -> 39 [size =\"9203712\"]\n  18 -> 40 [size =\"9203712\"]\n  18 -> 41 [size =\"9203712\"]\n  18 -> 43 [size =\"9203712\"]\n  19 [size=\"111138133\", alpha=\"0.14\", expect_size=\"33341440\"] \n  19 -> 29 [size =\"33341440\"]\n  19 -> 32 [size =\"33341440\"]\n  19 -> 35 [size =\"33341440\"]\n  19 -> 36 [size =\"33341440\"]\n  19 -> 39 [size =\"33341440\"]\n  19 -> 42 [size =\"33341440\"]\n  19 -> 43 [size =\"33341440\"]\n  20 [size=\"60986027\", alpha=\"0.02\", expect_size=\"18295808\"] \n  20 -> 29 [size =\"18295808\"]\n  20 -> 35 [size =\"18295808\"]\n  20 -> 35 [size =\"18295808\"]\n  20 -> 36 [size =\"18295808\"]\n  20 -> 39 [size =\"18295808\"]\n  21 [size=\"23896747\", alpha=\"0.06\", expect_size=\"7169024\"] \n  21 -> 29 [size =\"7169024\"]\n  21 -> 30 [size =\"7169024\"]\n  21 -> 33 [size =\"7169024\"]\n  21 -> 35 [size =\"7169024\"]\n  21 -> 44 [size =\"7169024\"]\n  22 [size=\"30429867\", alpha=\"0.08\", expect_size=\"9128960\"] \n  22 -> 29 [size =\"9128960\"]\n  22 -> 31 [size =\"9128960\"]\n  22 -> 35 [size =\"9128960\"]\n  22 -> 40 [size =\"9128960\"]\n  23 [size=\"156883627\", alpha=\"0.14\", expect_size=\"47065088\"] \n  23 -> 29 [size =\"47065088\"]\n  23 -> 30 [size =\"47065088\"]\n  23 -> 40 [size =\"47065088\"]\n  24 [size=\"24647680\", alpha=\"0.14\", expect_size=\"7394304\"] \n  24 -> 29 [size =\"7394304\"]\n  24 -> 35 [size =\"7394304\"]\n  24 -> 42 [size =\"7394304\"]\n  24 -> 44 [size =\"7394304\"]\n  25 [size=\"81797120\", alpha=\"0.16\", expect_size=\"24539136\"] \n  25 -> 33 [size =\"24539136\"]\n  25 -> 34 [size =\"24539136\"]\n  25 -> 35 [size =\"24539136\"]\n  25 -> 39 [size =\"24539136\"]\n  25 -> 43 [size =\"24539136\"]\n  25 -> 44 [size =\"24539136\"]\n  26 [size=\"105482240\", alpha=\"0.02\", expect_size=\"31644672\"] \n  26 -> 29 [size =\"31644672\"]\n  26 -> 33 [size =\"31644672\"]\n  26 -> 35 [size =\"31644672\"]\n  26 -> 36 [size =\"31644672\"]\n  27 [size=\"34310827\", alpha=\"0.05\", expect_size=\"10293248\"] \n  27 -> 29 [size =\"10293248\"]\n  27 -> 31 [size =\"10293248\"]\n  27 -> 35 [size =\"10293248\"]\n  27 -> 37 [size =\"10293248\"]\n  27 -> 39 [size =\"10293248\"]\n  28 [size=\"126037333\", alpha=\"0.10\", expect_size=\"37811200\"] \n  29 [size=\"29842773\", alpha=\"0.11\", expect_size=\"8952832\"] \n  30 [size=\"139390293\", alpha=\"0.15\", expect_size=\"41817088\"] \n  31 [size=\"152920747\", alpha=\"0.04\", expect_size=\"45876224\"] \n  32 [size=\"41420800\", alpha=\"0.01\", expect_size=\"12426240\"] \n  33 [size=\"104618667\", alpha=\"0.13\", expect_size=\"31385600\"] \n  34 [size=\"59985920\", alpha=\"0.18\", expect_size=\"17995776\"] \n  35 [size=\"166516053\", alpha=\"0.14\", expect_size=\"49954816\"] \n  36 [size=\"136376320\", alpha=\"0.04\", expect_size=\"40912896\"] \n  37 [size=\"152975360\", alpha=\"0.02\", expect_size=\"45892608\"] \n  38 [size=\"32839680\", alpha=\"0.01\", expect_size=\"9851904\"] \n  39 [size=\"109776213\", alpha=\"0.11\", expect_size=\"32932864\"] \n  40 [size=\"38922240\", alpha=\"0.08\", expect_size=\"11676672\"] \n  41 [size=\"154327040\", alpha=\"0.05\", expect_size=\"46298112\"] \n  42 [size=\"26842453\", alpha=\"0.04\", expect_size=\"8052736\"] \n  43 [size=\"34573653\", alpha=\"0.00\", expect_size=\"10372096\"] \n  44 [size=\"135420587\", alpha=\"0.17\", expect_size=\"40626176\"] \n  45 [size=\"122426027\", alpha=\"0.03\", expect_size=\"36727808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68495360\", alpha=\"0.08\", expect_size=\"27398144\"] \n  1 -> 3 [size =\"27398144\"]\n  1 -> 4 [size =\"27398144\"]\n  2 [size=\"60974080\", alpha=\"0.06\", expect_size=\"24389632\"] \n  3 [size=\"106920960\", alpha=\"0.01\", expect_size=\"42768384\"] \n  3 -> 5 [size =\"42768384\"]\n  3 -> 6 [size =\"42768384\"]\n  4 [size=\"35448320\", alpha=\"0.06\", expect_size=\"14179328\"] \n  5 [size=\"80719360\", alpha=\"0.19\", expect_size=\"32287744\"] \n  5 -> 7 [size =\"32287744\"]\n  5 -> 9 [size =\"32287744\"]\n  6 [size=\"31057920\", alpha=\"0.13\", expect_size=\"12423168\"] \n  6 -> 8 [size =\"12423168\"]\n  7 [size=\"50598400\", alpha=\"0.01\", expect_size=\"20239360\"] \n  7 -> 11 [size =\"20239360\"]\n  7 -> 12 [size =\"20239360\"]\n  8 [size=\"94361600\", alpha=\"0.17\", expect_size=\"37744640\"] \n  8 -> 10 [size =\"37744640\"]\n  9 [size=\"64330240\", alpha=\"0.18\", expect_size=\"25732096\"] \n  10 [size=\"93414400\", alpha=\"0.17\", expect_size=\"37365760\"] \n  10 -> 13 [size =\"37365760\"]\n  11 [size=\"52689920\", alpha=\"0.08\", expect_size=\"21075968\"] \n  12 [size=\"100720640\", alpha=\"0.09\", expect_size=\"40288256\"] \n  13 [size=\"15792640\", alpha=\"0.15\", expect_size=\"6317056\"] \n  13 -> 14 [size =\"6317056\"]\n  13 -> 15 [size =\"6317056\"]\n  13 -> 16 [size =\"6317056\"]\n  14 [size=\"19253760\", alpha=\"0.08\", expect_size=\"7701504\"] \n  15 [size=\"53368320\", alpha=\"0.11\", expect_size=\"21347328\"] \n  16 [size=\"50178560\", alpha=\"0.15\", expect_size=\"20071424\"] \n  16 -> 17 [size =\"20071424\"]\n  17 [size=\"127398400\", alpha=\"0.16\", expect_size=\"50959360\"] \n  17 -> 18 [size =\"50959360\"]\n  17 -> 19 [size =\"50959360\"]\n  17 -> 20 [size =\"50959360\"]\n  17 -> 21 [size =\"50959360\"]\n  18 [size=\"17436160\", alpha=\"0.01\", expect_size=\"6974464\"] \n  19 [size=\"114974720\", alpha=\"0.13\", expect_size=\"45989888\"] \n  19 -> 23 [size =\"45989888\"]\n  20 [size=\"101260800\", alpha=\"0.12\", expect_size=\"40504320\"] \n  20 -> 22 [size =\"40504320\"]\n  21 [size=\"82158080\", alpha=\"0.01\", expect_size=\"32863232\"] \n  21 -> 23 [size =\"32863232\"]\n  22 [size=\"130191360\", alpha=\"0.18\", expect_size=\"52076544\"] \n  22 -> 24 [size =\"52076544\"]\n  23 [size=\"67796480\", alpha=\"0.11\", expect_size=\"27118592\"] \n  23 -> 25 [size =\"27118592\"]\n  24 [size=\"36784640\", alpha=\"0.07\", expect_size=\"14713856\"] \n  24 -> 27 [size =\"14713856\"]\n  25 [size=\"86364160\", alpha=\"0.15\", expect_size=\"34545664\"] \n  25 -> 26 [size =\"34545664\"]\n  26 [size=\"35156480\", alpha=\"0.06\", expect_size=\"14062592\"] \n  26 -> 29 [size =\"14062592\"]\n  27 [size=\"122124800\", alpha=\"0.04\", expect_size=\"48849920\"] \n  27 -> 28 [size =\"48849920\"]\n  27 -> 30 [size =\"48849920\"]\n  28 [size=\"97960960\", alpha=\"0.15\", expect_size=\"39184384\"] \n  29 [size=\"106593280\", alpha=\"0.15\", expect_size=\"42637312\"] \n  29 -> 31 [size =\"42637312\"]\n  30 [size=\"62707200\", alpha=\"0.09\", expect_size=\"25082880\"] \n  30 -> 32 [size =\"25082880\"]\n  30 -> 33 [size =\"25082880\"]\n  31 [size=\"15454720\", alpha=\"0.09\", expect_size=\"6181888\"] \n  31 -> 34 [size =\"6181888\"]\n  32 [size=\"20224000\", alpha=\"0.04\", expect_size=\"8089600\"] \n  32 -> 35 [size =\"8089600\"]\n  33 [size=\"124884480\", alpha=\"0.20\", expect_size=\"49953792\"] \n  33 -> 34 [size =\"49953792\"]\n  33 -> 35 [size =\"49953792\"]\n  34 [size=\"69355520\", alpha=\"0.16\", expect_size=\"27742208\"] \n  34 -> 36 [size =\"27742208\"]\n  35 [size=\"111910400\", alpha=\"0.20\", expect_size=\"44764160\"] \n  36 [size=\"84234240\", alpha=\"0.10\", expect_size=\"33693696\"] \n  36 -> 37 [size =\"33693696\"]\n  36 -> 38 [size =\"33693696\"]\n  37 [size=\"122240000\", alpha=\"0.19\", expect_size=\"48896000\"] \n  37 -> 39 [size =\"48896000\"]\n  38 [size=\"27494400\", alpha=\"0.09\", expect_size=\"10997760\"] \n  38 -> 40 [size =\"10997760\"]\n  39 [size=\"117181440\", alpha=\"0.16\", expect_size=\"46872576\"] \n  39 -> 41 [size =\"46872576\"]\n  39 -> 43 [size =\"46872576\"]\n  39 -> 44 [size =\"46872576\"]\n  40 [size=\"88632320\", alpha=\"0.18\", expect_size=\"35452928\"] \n  40 -> 42 [size =\"35452928\"]\n  41 [size=\"22151680\", alpha=\"0.12\", expect_size=\"8860672\"] \n  42 [size=\"75289600\", alpha=\"0.05\", expect_size=\"30115840\"] \n  43 [size=\"99732480\", alpha=\"0.08\", expect_size=\"39892992\"] \n  43 -> 45 [size =\"39892992\"]\n  44 [size=\"98170880\", alpha=\"0.15\", expect_size=\"39268352\"] \n  44 -> 45 [size =\"39268352\"]\n  45 [size=\"76746240\", alpha=\"0.14\", expect_size=\"30698496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168543573\", alpha=\"0.20\", expect_size=\"50563072\"] \n  1 -> 6 [size =\"50563072\"]\n  2 [size=\"38301013\", alpha=\"0.07\", expect_size=\"11490304\"] \n  2 -> 5 [size =\"11490304\"]\n  2 -> 7 [size =\"11490304\"]\n  3 [size=\"122784427\", alpha=\"0.05\", expect_size=\"36835328\"] \n  3 -> 5 [size =\"36835328\"]\n  3 -> 6 [size =\"36835328\"]\n  3 -> 7 [size =\"36835328\"]\n  4 [size=\"133918720\", alpha=\"0.05\", expect_size=\"40175616\"] \n  4 -> 6 [size =\"40175616\"]\n  4 -> 7 [size =\"40175616\"]\n  5 [size=\"72099840\", alpha=\"0.04\", expect_size=\"21629952\"] \n  5 -> 8 [size =\"21629952\"]\n  5 -> 9 [size =\"21629952\"]\n  5 -> 10 [size =\"21629952\"]\n  6 [size=\"27344213\", alpha=\"0.01\", expect_size=\"8203264\"] \n  6 -> 8 [size =\"8203264\"]\n  6 -> 9 [size =\"8203264\"]\n  6 -> 10 [size =\"8203264\"]\n  7 [size=\"98686293\", alpha=\"0.09\", expect_size=\"29605888\"] \n  7 -> 8 [size =\"29605888\"]\n  7 -> 9 [size =\"29605888\"]\n  7 -> 10 [size =\"29605888\"]\n  8 [size=\"61477547\", alpha=\"0.11\", expect_size=\"18443264\"] \n  8 -> 11 [size =\"18443264\"]\n  8 -> 13 [size =\"18443264\"]\n  9 [size=\"45598720\", alpha=\"0.02\", expect_size=\"13679616\"] \n  9 -> 12 [size =\"13679616\"]\n  9 -> 13 [size =\"13679616\"]\n  10 [size=\"102188373\", alpha=\"0.02\", expect_size=\"30656512\"] \n  10 -> 12 [size =\"30656512\"]\n  10 -> 13 [size =\"30656512\"]\n  11 [size=\"121470293\", alpha=\"0.19\", expect_size=\"36441088\"] \n  12 [size=\"120477013\", alpha=\"0.13\", expect_size=\"36143104\"] \n  12 -> 14 [size =\"36143104\"]\n  12 -> 15 [size =\"36143104\"]\n  13 [size=\"172530347\", alpha=\"0.04\", expect_size=\"51759104\"] \n  13 -> 14 [size =\"51759104\"]\n  14 [size=\"56176640\", alpha=\"0.18\", expect_size=\"16852992\"] \n  14 -> 17 [size =\"16852992\"]\n  14 -> 19 [size =\"16852992\"]\n  15 [size=\"93931520\", alpha=\"0.17\", expect_size=\"28179456\"] \n  15 -> 16 [size =\"28179456\"]\n  15 -> 17 [size =\"28179456\"]\n  15 -> 18 [size =\"28179456\"]\n  15 -> 19 [size =\"28179456\"]\n  16 [size=\"128778240\", alpha=\"0.07\", expect_size=\"38633472\"] \n  16 -> 21 [size =\"38633472\"]\n  17 [size=\"136861013\", alpha=\"0.17\", expect_size=\"41058304\"] \n  17 -> 20 [size =\"41058304\"]\n  17 -> 21 [size =\"41058304\"]\n  18 [size=\"52251307\", alpha=\"0.17\", expect_size=\"15675392\"] \n  18 -> 20 [size =\"15675392\"]\n  18 -> 21 [size =\"15675392\"]\n  19 [size=\"139250347\", alpha=\"0.18\", expect_size=\"41775104\"] \n  19 -> 21 [size =\"41775104\"]\n  20 [size=\"158900907\", alpha=\"0.05\", expect_size=\"47670272\"] \n  20 -> 22 [size =\"47670272\"]\n  20 -> 23 [size =\"47670272\"]\n  20 -> 24 [size =\"47670272\"]\n  21 [size=\"19449173\", alpha=\"0.11\", expect_size=\"5834752\"] \n  21 -> 22 [size =\"5834752\"]\n  21 -> 23 [size =\"5834752\"]\n  21 -> 24 [size =\"5834752\"]\n  22 [size=\"171871573\", alpha=\"0.19\", expect_size=\"51561472\"] \n  22 -> 25 [size =\"51561472\"]\n  22 -> 26 [size =\"51561472\"]\n  22 -> 27 [size =\"51561472\"]\n  23 [size=\"119128747\", alpha=\"0.01\", expect_size=\"35738624\"] \n  23 -> 25 [size =\"35738624\"]\n  23 -> 27 [size =\"35738624\"]\n  24 [size=\"152084480\", alpha=\"0.18\", expect_size=\"45625344\"] \n  24 -> 25 [size =\"45625344\"]\n  25 [size=\"135226027\", alpha=\"0.01\", expect_size=\"40567808\"] \n  25 -> 28 [size =\"40567808\"]\n  26 [size=\"109998080\", alpha=\"0.06\", expect_size=\"32999424\"] \n  26 -> 28 [size =\"32999424\"]\n  27 [size=\"166690133\", alpha=\"0.01\", expect_size=\"50007040\"] \n  27 -> 28 [size =\"50007040\"]\n  28 [size=\"144069973\", alpha=\"0.02\", expect_size=\"43220992\"] \n  28 -> 29 [size =\"43220992\"]\n  28 -> 30 [size =\"43220992\"]\n  28 -> 31 [size =\"43220992\"]\n  28 -> 32 [size =\"43220992\"]\n  29 [size=\"121825280\", alpha=\"0.06\", expect_size=\"36547584\"] \n  29 -> 33 [size =\"36547584\"]\n  30 [size=\"108547413\", alpha=\"0.02\", expect_size=\"32564224\"] \n  30 -> 33 [size =\"32564224\"]\n  31 [size=\"147148800\", alpha=\"0.10\", expect_size=\"44144640\"] \n  32 [size=\"74130773\", alpha=\"0.11\", expect_size=\"22239232\"] \n  32 -> 33 [size =\"22239232\"]\n  33 [size=\"67601067\", alpha=\"0.12\", expect_size=\"20280320\"] \n  33 -> 34 [size =\"20280320\"]\n  33 -> 35 [size =\"20280320\"]\n  33 -> 36 [size =\"20280320\"]\n  34 [size=\"75588267\", alpha=\"0.19\", expect_size=\"22676480\"] \n  34 -> 37 [size =\"22676480\"]\n  34 -> 38 [size =\"22676480\"]\n  35 [size=\"57245013\", alpha=\"0.14\", expect_size=\"17173504\"] \n  35 -> 37 [size =\"17173504\"]\n  35 -> 38 [size =\"17173504\"]\n  36 [size=\"67198293\", alpha=\"0.04\", expect_size=\"20159488\"] \n  36 -> 37 [size =\"20159488\"]\n  36 -> 38 [size =\"20159488\"]\n  37 [size=\"115316053\", alpha=\"0.09\", expect_size=\"34594816\"] \n  37 -> 39 [size =\"34594816\"]\n  37 -> 40 [size =\"34594816\"]\n  38 [size=\"125528747\", alpha=\"0.19\", expect_size=\"37658624\"] \n  38 -> 39 [size =\"37658624\"]\n  38 -> 40 [size =\"37658624\"]\n  39 [size=\"141834240\", alpha=\"0.04\", expect_size=\"42550272\"] \n  39 -> 41 [size =\"42550272\"]\n  39 -> 42 [size =\"42550272\"]\n  39 -> 43 [size =\"42550272\"]\n  39 -> 44 [size =\"42550272\"]\n  40 [size=\"35072000\", alpha=\"0.07\", expect_size=\"10521600\"] \n  40 -> 42 [size =\"10521600\"]\n  40 -> 43 [size =\"10521600\"]\n  40 -> 44 [size =\"10521600\"]\n  41 [size=\"47243947\", alpha=\"0.10\", expect_size=\"14173184\"] \n  41 -> 45 [size =\"14173184\"]\n  42 [size=\"125057707\", alpha=\"0.13\", expect_size=\"37517312\"] \n  42 -> 45 [size =\"37517312\"]\n  43 [size=\"56944640\", alpha=\"0.09\", expect_size=\"17083392\"] \n  43 -> 45 [size =\"17083392\"]\n  44 [size=\"155241813\", alpha=\"0.02\", expect_size=\"46572544\"] \n  44 -> 45 [size =\"46572544\"]\n  45 [size=\"144083627\", alpha=\"0.10\", expect_size=\"43225088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103669760\", alpha=\"0.06\", expect_size=\"51834880\"] \n  1 -> 5 [size =\"51834880\"]\n  1 -> 6 [size =\"51834880\"]\n  2 [size=\"83638272\", alpha=\"0.15\", expect_size=\"41819136\"] \n  2 -> 4 [size =\"41819136\"]\n  2 -> 5 [size =\"41819136\"]\n  2 -> 6 [size =\"41819136\"]\n  3 [size=\"49113088\", alpha=\"0.14\", expect_size=\"24556544\"] \n  3 -> 4 [size =\"24556544\"]\n  3 -> 6 [size =\"24556544\"]\n  4 [size=\"25276416\", alpha=\"0.18\", expect_size=\"12638208\"] \n  4 -> 7 [size =\"12638208\"]\n  4 -> 8 [size =\"12638208\"]\n  5 [size=\"54933504\", alpha=\"0.12\", expect_size=\"27466752\"] \n  6 [size=\"11569152\", alpha=\"0.02\", expect_size=\"5784576\"] \n  6 -> 8 [size =\"5784576\"]\n  7 [size=\"88979456\", alpha=\"0.14\", expect_size=\"44489728\"] \n  7 -> 10 [size =\"44489728\"]\n  8 [size=\"27799552\", alpha=\"0.19\", expect_size=\"13899776\"] \n  8 -> 9 [size =\"13899776\"]\n  8 -> 10 [size =\"13899776\"]\n  9 [size=\"19851264\", alpha=\"0.17\", expect_size=\"9925632\"] \n  9 -> 11 [size =\"9925632\"]\n  9 -> 12 [size =\"9925632\"]\n  9 -> 13 [size =\"9925632\"]\n  10 [size=\"16134144\", alpha=\"0.15\", expect_size=\"8067072\"] \n  10 -> 11 [size =\"8067072\"]\n  10 -> 12 [size =\"8067072\"]\n  11 [size=\"14477312\", alpha=\"0.20\", expect_size=\"7238656\"] \n  11 -> 14 [size =\"7238656\"]\n  11 -> 15 [size =\"7238656\"]\n  12 [size=\"44046336\", alpha=\"0.16\", expect_size=\"22023168\"] \n  12 -> 15 [size =\"22023168\"]\n  13 [size=\"18718720\", alpha=\"0.16\", expect_size=\"9359360\"] \n  13 -> 15 [size =\"9359360\"]\n  14 [size=\"85995520\", alpha=\"0.07\", expect_size=\"42997760\"] \n  14 -> 16 [size =\"42997760\"]\n  14 -> 17 [size =\"42997760\"]\n  14 -> 18 [size =\"42997760\"]\n  15 [size=\"78252032\", alpha=\"0.11\", expect_size=\"39126016\"] \n  15 -> 16 [size =\"39126016\"]\n  15 -> 17 [size =\"39126016\"]\n  15 -> 18 [size =\"39126016\"]\n  16 [size=\"41893888\", alpha=\"0.18\", expect_size=\"20946944\"] \n  16 -> 19 [size =\"20946944\"]\n  16 -> 20 [size =\"20946944\"]\n  17 [size=\"49735680\", alpha=\"0.13\", expect_size=\"24867840\"] \n  17 -> 20 [size =\"24867840\"]\n  18 [size=\"22734848\", alpha=\"0.11\", expect_size=\"11367424\"] \n  19 [size=\"20097024\", alpha=\"0.06\", expect_size=\"10048512\"] \n  19 -> 21 [size =\"10048512\"]\n  20 [size=\"99745792\", alpha=\"0.16\", expect_size=\"49872896\"] \n  20 -> 21 [size =\"49872896\"]\n  20 -> 22 [size =\"49872896\"]\n  21 [size=\"76044288\", alpha=\"0.06\", expect_size=\"38022144\"] \n  21 -> 23 [size =\"38022144\"]\n  22 [size=\"74899456\", alpha=\"0.12\", expect_size=\"37449728\"] \n  22 -> 23 [size =\"37449728\"]\n  22 -> 24 [size =\"37449728\"]\n  23 [size=\"54941696\", alpha=\"0.06\", expect_size=\"27470848\"] \n  23 -> 25 [size =\"27470848\"]\n  23 -> 26 [size =\"27470848\"]\n  23 -> 27 [size =\"27470848\"]\n  24 [size=\"35006464\", alpha=\"0.03\", expect_size=\"17503232\"] \n  24 -> 26 [size =\"17503232\"]\n  24 -> 27 [size =\"17503232\"]\n  25 [size=\"68868096\", alpha=\"0.09\", expect_size=\"34434048\"] \n  25 -> 28 [size =\"34434048\"]\n  25 -> 29 [size =\"34434048\"]\n  25 -> 30 [size =\"34434048\"]\n  26 [size=\"24786944\", alpha=\"0.16\", expect_size=\"12393472\"] \n  26 -> 28 [size =\"12393472\"]\n  26 -> 29 [size =\"12393472\"]\n  26 -> 30 [size =\"12393472\"]\n  27 [size=\"13996032\", alpha=\"0.19\", expect_size=\"6998016\"] \n  27 -> 28 [size =\"6998016\"]\n  27 -> 29 [size =\"6998016\"]\n  27 -> 30 [size =\"6998016\"]\n  28 [size=\"75735040\", alpha=\"0.06\", expect_size=\"37867520\"] \n  28 -> 31 [size =\"37867520\"]\n  28 -> 32 [size =\"37867520\"]\n  28 -> 33 [size =\"37867520\"]\n  29 [size=\"32276480\", alpha=\"0.15\", expect_size=\"16138240\"] \n  29 -> 33 [size =\"16138240\"]\n  30 [size=\"60788736\", alpha=\"0.05\", expect_size=\"30394368\"] \n  30 -> 31 [size =\"30394368\"]\n  30 -> 32 [size =\"30394368\"]\n  30 -> 33 [size =\"30394368\"]\n  31 [size=\"43755520\", alpha=\"0.16\", expect_size=\"21877760\"] \n  31 -> 34 [size =\"21877760\"]\n  31 -> 36 [size =\"21877760\"]\n  32 [size=\"74362880\", alpha=\"0.14\", expect_size=\"37181440\"] \n  32 -> 34 [size =\"37181440\"]\n  32 -> 35 [size =\"37181440\"]\n  32 -> 36 [size =\"37181440\"]\n  33 [size=\"37023744\", alpha=\"0.13\", expect_size=\"18511872\"] \n  33 -> 34 [size =\"18511872\"]\n  34 [size=\"64737280\", alpha=\"0.09\", expect_size=\"32368640\"] \n  34 -> 37 [size =\"32368640\"]\n  34 -> 39 [size =\"32368640\"]\n  35 [size=\"77924352\", alpha=\"0.19\", expect_size=\"38962176\"] \n  35 -> 37 [size =\"38962176\"]\n  35 -> 38 [size =\"38962176\"]\n  35 -> 39 [size =\"38962176\"]\n  36 [size=\"26658816\", alpha=\"0.16\", expect_size=\"13329408\"] \n  36 -> 37 [size =\"13329408\"]\n  37 [size=\"100771840\", alpha=\"0.01\", expect_size=\"50385920\"] \n  37 -> 42 [size =\"50385920\"]\n  38 [size=\"95641600\", alpha=\"0.09\", expect_size=\"47820800\"] \n  38 -> 40 [size =\"47820800\"]\n  38 -> 41 [size =\"47820800\"]\n  38 -> 42 [size =\"47820800\"]\n  39 [size=\"28585984\", alpha=\"0.19\", expect_size=\"14292992\"] \n  39 -> 42 [size =\"14292992\"]\n  40 [size=\"97710080\", alpha=\"0.07\", expect_size=\"48855040\"] \n  40 -> 43 [size =\"48855040\"]\n  40 -> 44 [size =\"48855040\"]\n  40 -> 45 [size =\"48855040\"]\n  41 [size=\"25552896\", alpha=\"0.10\", expect_size=\"12776448\"] \n  41 -> 43 [size =\"12776448\"]\n  41 -> 44 [size =\"12776448\"]\n  41 -> 45 [size =\"12776448\"]\n  42 [size=\"99221504\", alpha=\"0.06\", expect_size=\"49610752\"] \n  42 -> 43 [size =\"49610752\"]\n  42 -> 44 [size =\"49610752\"]\n  42 -> 45 [size =\"49610752\"]\n  43 [size=\"69160960\", alpha=\"0.12\", expect_size=\"34580480\"] \n  44 [size=\"37976064\", alpha=\"0.02\", expect_size=\"18988032\"] \n  45 [size=\"81180672\", alpha=\"0.06\", expect_size=\"40590336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134898347\", alpha=\"0.19\", expect_size=\"40469504\"] \n  1 -> 2 [size =\"40469504\"]\n  2 [size=\"59627520\", alpha=\"0.02\", expect_size=\"17888256\"] \n  2 -> 3 [size =\"17888256\"]\n  3 [size=\"126672213\", alpha=\"0.15\", expect_size=\"38001664\"] \n  3 -> 4 [size =\"38001664\"]\n  4 [size=\"151678293\", alpha=\"0.19\", expect_size=\"45503488\"] \n  4 -> 5 [size =\"45503488\"]\n  5 [size=\"86394880\", alpha=\"0.11\", expect_size=\"25918464\"] \n  5 -> 6 [size =\"25918464\"]\n  6 [size=\"103512747\", alpha=\"0.12\", expect_size=\"31053824\"] \n  6 -> 7 [size =\"31053824\"]\n  7 [size=\"21285547\", alpha=\"0.04\", expect_size=\"6385664\"] \n  7 -> 8 [size =\"6385664\"]\n  8 [size=\"47653547\", alpha=\"0.04\", expect_size=\"14296064\"] \n  8 -> 9 [size =\"14296064\"]\n  9 [size=\"65259520\", alpha=\"0.03\", expect_size=\"19577856\"] \n  9 -> 10 [size =\"19577856\"]\n  10 [size=\"73079467\", alpha=\"0.05\", expect_size=\"21923840\"] \n  10 -> 11 [size =\"21923840\"]\n  11 [size=\"91579733\", alpha=\"0.14\", expect_size=\"27473920\"] \n  11 -> 12 [size =\"27473920\"]\n  12 [size=\"86528000\", alpha=\"0.05\", expect_size=\"25958400\"] \n  12 -> 13 [size =\"25958400\"]\n  13 [size=\"103912107\", alpha=\"0.15\", expect_size=\"31173632\"] \n  13 -> 14 [size =\"31173632\"]\n  14 [size=\"65327787\", alpha=\"0.14\", expect_size=\"19598336\"] \n  14 -> 15 [size =\"19598336\"]\n  15 [size=\"55057067\", alpha=\"0.13\", expect_size=\"16517120\"] \n  15 -> 16 [size =\"16517120\"]\n  16 [size=\"141271040\", alpha=\"0.20\", expect_size=\"42381312\"] \n  16 -> 17 [size =\"42381312\"]\n  17 [size=\"74792960\", alpha=\"0.01\", expect_size=\"22437888\"] \n  17 -> 18 [size =\"22437888\"]\n  18 [size=\"109069653\", alpha=\"0.13\", expect_size=\"32720896\"] \n  18 -> 19 [size =\"32720896\"]\n  19 [size=\"142837760\", alpha=\"0.12\", expect_size=\"42851328\"] \n  19 -> 20 [size =\"42851328\"]\n  20 [size=\"165335040\", alpha=\"0.01\", expect_size=\"49600512\"] \n  20 -> 21 [size =\"49600512\"]\n  21 [size=\"47496533\", alpha=\"0.04\", expect_size=\"14248960\"] \n  21 -> 22 [size =\"14248960\"]\n  22 [size=\"155811840\", alpha=\"0.13\", expect_size=\"46743552\"] \n  22 -> 23 [size =\"46743552\"]\n  23 [size=\"39273813\", alpha=\"0.16\", expect_size=\"11782144\"] \n  23 -> 24 [size =\"11782144\"]\n  24 [size=\"156808533\", alpha=\"0.16\", expect_size=\"47042560\"] \n  24 -> 25 [size =\"47042560\"]\n  25 [size=\"110431573\", alpha=\"0.04\", expect_size=\"33129472\"] \n  25 -> 26 [size =\"33129472\"]\n  26 [size=\"53234347\", alpha=\"0.04\", expect_size=\"15970304\"] \n  26 -> 27 [size =\"15970304\"]\n  27 [size=\"51377493\", alpha=\"0.04\", expect_size=\"15413248\"] \n  27 -> 28 [size =\"15413248\"]\n  28 [size=\"58798080\", alpha=\"0.08\", expect_size=\"17639424\"] \n  28 -> 29 [size =\"17639424\"]\n  29 [size=\"164765013\", alpha=\"0.17\", expect_size=\"49429504\"] \n  29 -> 30 [size =\"49429504\"]\n  30 [size=\"101690027\", alpha=\"0.14\", expect_size=\"30507008\"] \n  30 -> 31 [size =\"30507008\"]\n  31 [size=\"106113707\", alpha=\"0.01\", expect_size=\"31834112\"] \n  31 -> 32 [size =\"31834112\"]\n  32 [size=\"138178560\", alpha=\"0.16\", expect_size=\"41453568\"] \n  32 -> 33 [size =\"41453568\"]\n  33 [size=\"82746027\", alpha=\"0.02\", expect_size=\"24823808\"] \n  33 -> 34 [size =\"24823808\"]\n  34 [size=\"49018880\", alpha=\"0.15\", expect_size=\"14705664\"] \n  34 -> 35 [size =\"14705664\"]\n  35 [size=\"171199147\", alpha=\"0.12\", expect_size=\"51359744\"] \n  35 -> 36 [size =\"51359744\"]\n  36 [size=\"46349653\", alpha=\"0.04\", expect_size=\"13904896\"] \n  36 -> 37 [size =\"13904896\"]\n  37 [size=\"75079680\", alpha=\"0.04\", expect_size=\"22523904\"] \n  37 -> 38 [size =\"22523904\"]\n  38 [size=\"103915520\", alpha=\"0.16\", expect_size=\"31174656\"] \n  38 -> 39 [size =\"31174656\"]\n  39 [size=\"163031040\", alpha=\"0.04\", expect_size=\"48909312\"] \n  39 -> 40 [size =\"48909312\"]\n  40 [size=\"142926507\", alpha=\"0.10\", expect_size=\"42877952\"] \n  40 -> 41 [size =\"42877952\"]\n  41 [size=\"99208533\", alpha=\"0.01\", expect_size=\"29762560\"] \n  41 -> 42 [size =\"29762560\"]\n  42 [size=\"105977173\", alpha=\"0.09\", expect_size=\"31793152\"] \n  42 -> 43 [size =\"31793152\"]\n  43 [size=\"75004587\", alpha=\"0.19\", expect_size=\"22501376\"] \n  43 -> 44 [size =\"22501376\"]\n  44 [size=\"92726613\", alpha=\"0.08\", expect_size=\"27817984\"] \n  44 -> 45 [size =\"27817984\"]\n  45 [size=\"49711787\", alpha=\"0.08\", expect_size=\"14913536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152930987\", alpha=\"0.06\", expect_size=\"45879296\"] \n  1 -> 2 [size =\"45879296\"]\n  2 [size=\"158330880\", alpha=\"0.15\", expect_size=\"47499264\"] \n  2 -> 3 [size =\"47499264\"]\n  3 [size=\"87951360\", alpha=\"0.05\", expect_size=\"26385408\"] \n  3 -> 4 [size =\"26385408\"]\n  4 [size=\"147636907\", alpha=\"0.18\", expect_size=\"44291072\"] \n  4 -> 5 [size =\"44291072\"]\n  5 [size=\"144305493\", alpha=\"0.13\", expect_size=\"43291648\"] \n  5 -> 6 [size =\"43291648\"]\n  6 [size=\"98099200\", alpha=\"0.01\", expect_size=\"29429760\"] \n  6 -> 7 [size =\"29429760\"]\n  7 [size=\"160279893\", alpha=\"0.04\", expect_size=\"48083968\"] \n  7 -> 8 [size =\"48083968\"]\n  8 [size=\"151999147\", alpha=\"0.08\", expect_size=\"45599744\"] \n  8 -> 9 [size =\"45599744\"]\n  9 [size=\"147920213\", alpha=\"0.04\", expect_size=\"44376064\"] \n  9 -> 10 [size =\"44376064\"]\n  10 [size=\"56961707\", alpha=\"0.10\", expect_size=\"17088512\"] \n  10 -> 11 [size =\"17088512\"]\n  11 [size=\"69922133\", alpha=\"0.00\", expect_size=\"20976640\"] \n  11 -> 12 [size =\"20976640\"]\n  12 [size=\"114442240\", alpha=\"0.11\", expect_size=\"34332672\"] \n  12 -> 13 [size =\"34332672\"]\n  13 [size=\"72622080\", alpha=\"0.11\", expect_size=\"21786624\"] \n  13 -> 14 [size =\"21786624\"]\n  14 [size=\"114414933\", alpha=\"0.10\", expect_size=\"34324480\"] \n  14 -> 15 [size =\"34324480\"]\n  15 [size=\"95945387\", alpha=\"0.15\", expect_size=\"28783616\"] \n  15 -> 16 [size =\"28783616\"]\n  16 [size=\"41673387\", alpha=\"0.03\", expect_size=\"12502016\"] \n  16 -> 17 [size =\"12502016\"]\n  17 [size=\"50264747\", alpha=\"0.10\", expect_size=\"15079424\"] \n  17 -> 18 [size =\"15079424\"]\n  18 [size=\"81636693\", alpha=\"0.04\", expect_size=\"24491008\"] \n  18 -> 19 [size =\"24491008\"]\n  19 [size=\"146885973\", alpha=\"0.10\", expect_size=\"44065792\"] \n  19 -> 20 [size =\"44065792\"]\n  20 [size=\"24487253\", alpha=\"0.10\", expect_size=\"7346176\"] \n  20 -> 21 [size =\"7346176\"]\n  21 [size=\"103072427\", alpha=\"0.06\", expect_size=\"30921728\"] \n  21 -> 22 [size =\"30921728\"]\n  22 [size=\"105154560\", alpha=\"0.01\", expect_size=\"31546368\"] \n  22 -> 23 [size =\"31546368\"]\n  23 [size=\"31173973\", alpha=\"0.04\", expect_size=\"9352192\"] \n  23 -> 24 [size =\"9352192\"]\n  24 [size=\"118125227\", alpha=\"0.04\", expect_size=\"35437568\"] \n  24 -> 25 [size =\"35437568\"]\n  25 [size=\"36573867\", alpha=\"0.00\", expect_size=\"10972160\"] \n  25 -> 26 [size =\"10972160\"]\n  26 [size=\"153985707\", alpha=\"0.07\", expect_size=\"46195712\"] \n  26 -> 27 [size =\"46195712\"]\n  27 [size=\"174506667\", alpha=\"0.11\", expect_size=\"52352000\"] \n  27 -> 28 [size =\"52352000\"]\n  28 [size=\"98771627\", alpha=\"0.13\", expect_size=\"29631488\"] \n  28 -> 29 [size =\"29631488\"]\n  29 [size=\"130969600\", alpha=\"0.11\", expect_size=\"39290880\"] \n  29 -> 30 [size =\"39290880\"]\n  30 [size=\"55739733\", alpha=\"0.14\", expect_size=\"16721920\"] \n  30 -> 31 [size =\"16721920\"]\n  31 [size=\"132379307\", alpha=\"0.04\", expect_size=\"39713792\"] \n  31 -> 32 [size =\"39713792\"]\n  32 [size=\"24483840\", alpha=\"0.06\", expect_size=\"7345152\"] \n  32 -> 33 [size =\"7345152\"]\n  33 [size=\"30197760\", alpha=\"0.15\", expect_size=\"9059328\"] \n  33 -> 34 [size =\"9059328\"]\n  34 [size=\"62709760\", alpha=\"0.17\", expect_size=\"18812928\"] \n  34 -> 35 [size =\"18812928\"]\n  35 [size=\"94897493\", alpha=\"0.08\", expect_size=\"28469248\"] \n  35 -> 36 [size =\"28469248\"]\n  36 [size=\"96307200\", alpha=\"0.03\", expect_size=\"28892160\"] \n  36 -> 37 [size =\"28892160\"]\n  37 [size=\"147558400\", alpha=\"0.02\", expect_size=\"44267520\"] \n  37 -> 38 [size =\"44267520\"]\n  38 [size=\"76885333\", alpha=\"0.09\", expect_size=\"23065600\"] \n  38 -> 39 [size =\"23065600\"]\n  39 [size=\"18810880\", alpha=\"0.12\", expect_size=\"5643264\"] \n  39 -> 40 [size =\"5643264\"]\n  40 [size=\"103782400\", alpha=\"0.16\", expect_size=\"31134720\"] \n  40 -> 41 [size =\"31134720\"]\n  41 [size=\"56712533\", alpha=\"0.12\", expect_size=\"17013760\"] \n  41 -> 42 [size =\"17013760\"]\n  42 [size=\"87333547\", alpha=\"0.18\", expect_size=\"26200064\"] \n  42 -> 43 [size =\"26200064\"]\n  43 [size=\"135335253\", alpha=\"0.06\", expect_size=\"40600576\"] \n  43 -> 44 [size =\"40600576\"]\n  44 [size=\"98570240\", alpha=\"0.07\", expect_size=\"29571072\"] \n  44 -> 45 [size =\"29571072\"]\n  45 [size=\"73987413\", alpha=\"0.10\", expect_size=\"22196224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87033173\", alpha=\"0.09\", expect_size=\"26109952\"] \n  1 -> 10 [size =\"26109952\"]\n  2 [size=\"149582507\", alpha=\"0.15\", expect_size=\"44874752\"] \n  2 -> 7 [size =\"44874752\"]\n  2 -> 9 [size =\"44874752\"]\n  3 [size=\"126621013\", alpha=\"0.01\", expect_size=\"37986304\"] \n  3 -> 7 [size =\"37986304\"]\n  3 -> 9 [size =\"37986304\"]\n  3 -> 11 [size =\"37986304\"]\n  3 -> 12 [size =\"37986304\"]\n  4 [size=\"105649493\", alpha=\"0.05\", expect_size=\"31694848\"] \n  4 -> 8 [size =\"31694848\"]\n  4 -> 10 [size =\"31694848\"]\n  5 [size=\"48087040\", alpha=\"0.09\", expect_size=\"14426112\"] \n  5 -> 7 [size =\"14426112\"]\n  5 -> 9 [size =\"14426112\"]\n  6 [size=\"114776747\", alpha=\"0.11\", expect_size=\"34433024\"] \n  6 -> 11 [size =\"34433024\"]\n  7 [size=\"79568213\", alpha=\"0.19\", expect_size=\"23870464\"] \n  7 -> 15 [size =\"23870464\"]\n  7 -> 17 [size =\"23870464\"]\n  8 [size=\"147988480\", alpha=\"0.16\", expect_size=\"44396544\"] \n  8 -> 15 [size =\"44396544\"]\n  8 -> 18 [size =\"44396544\"]\n  9 [size=\"71645867\", alpha=\"0.14\", expect_size=\"21493760\"] \n  9 -> 13 [size =\"21493760\"]\n  9 -> 14 [size =\"21493760\"]\n  9 -> 16 [size =\"21493760\"]\n  10 [size=\"137605120\", alpha=\"0.10\", expect_size=\"41281536\"] \n  10 -> 15 [size =\"41281536\"]\n  10 -> 18 [size =\"41281536\"]\n  11 [size=\"155845973\", alpha=\"0.05\", expect_size=\"46753792\"] \n  11 -> 14 [size =\"46753792\"]\n  11 -> 16 [size =\"46753792\"]\n  12 [size=\"71806293\", alpha=\"0.00\", expect_size=\"21541888\"] \n  12 -> 16 [size =\"21541888\"]\n  13 [size=\"34566827\", alpha=\"0.03\", expect_size=\"10370048\"] \n  13 -> 19 [size =\"10370048\"]\n  13 -> 22 [size =\"10370048\"]\n  14 [size=\"44441600\", alpha=\"0.01\", expect_size=\"13332480\"] \n  14 -> 19 [size =\"13332480\"]\n  14 -> 20 [size =\"13332480\"]\n  14 -> 21 [size =\"13332480\"]\n  15 [size=\"87459840\", alpha=\"0.13\", expect_size=\"26237952\"] \n  15 -> 22 [size =\"26237952\"]\n  15 -> 23 [size =\"26237952\"]\n  16 [size=\"156016640\", alpha=\"0.01\", expect_size=\"46804992\"] \n  16 -> 21 [size =\"46804992\"]\n  16 -> 22 [size =\"46804992\"]\n  16 -> 23 [size =\"46804992\"]\n  16 -> 24 [size =\"46804992\"]\n  17 [size=\"88999253\", alpha=\"0.15\", expect_size=\"26699776\"] \n  17 -> 19 [size =\"26699776\"]\n  17 -> 23 [size =\"26699776\"]\n  18 [size=\"82018987\", alpha=\"0.12\", expect_size=\"24605696\"] \n  18 -> 21 [size =\"24605696\"]\n  18 -> 24 [size =\"24605696\"]\n  19 [size=\"50449067\", alpha=\"0.09\", expect_size=\"15134720\"] \n  19 -> 26 [size =\"15134720\"]\n  20 [size=\"158057813\", alpha=\"0.10\", expect_size=\"47417344\"] \n  20 -> 27 [size =\"47417344\"]\n  21 [size=\"75649707\", alpha=\"0.00\", expect_size=\"22694912\"] \n  21 -> 27 [size =\"22694912\"]\n  21 -> 29 [size =\"22694912\"]\n  22 [size=\"112800427\", alpha=\"0.07\", expect_size=\"33840128\"] \n  22 -> 28 [size =\"33840128\"]\n  23 [size=\"114152107\", alpha=\"0.08\", expect_size=\"34245632\"] \n  23 -> 26 [size =\"34245632\"]\n  23 -> 29 [size =\"34245632\"]\n  24 [size=\"139680427\", alpha=\"0.01\", expect_size=\"41904128\"] \n  24 -> 25 [size =\"41904128\"]\n  24 -> 27 [size =\"41904128\"]\n  24 -> 29 [size =\"41904128\"]\n  25 [size=\"147544747\", alpha=\"0.17\", expect_size=\"44263424\"] \n  25 -> 30 [size =\"44263424\"]\n  25 -> 32 [size =\"44263424\"]\n  25 -> 34 [size =\"44263424\"]\n  26 [size=\"94573227\", alpha=\"0.05\", expect_size=\"28371968\"] \n  26 -> 30 [size =\"28371968\"]\n  26 -> 32 [size =\"28371968\"]\n  27 [size=\"98594133\", alpha=\"0.01\", expect_size=\"29578240\"] \n  27 -> 30 [size =\"29578240\"]\n  27 -> 31 [size =\"29578240\"]\n  27 -> 33 [size =\"29578240\"]\n  28 [size=\"59241813\", alpha=\"0.14\", expect_size=\"17772544\"] \n  28 -> 33 [size =\"17772544\"]\n  29 [size=\"153159680\", alpha=\"0.14\", expect_size=\"45947904\"] \n  29 -> 33 [size =\"45947904\"]\n  29 -> 34 [size =\"45947904\"]\n  30 [size=\"64102400\", alpha=\"0.09\", expect_size=\"19230720\"] \n  30 -> 40 [size =\"19230720\"]\n  31 [size=\"143530667\", alpha=\"0.02\", expect_size=\"43059200\"] \n  31 -> 38 [size =\"43059200\"]\n  31 -> 39 [size =\"43059200\"]\n  31 -> 40 [size =\"43059200\"]\n  32 [size=\"146432000\", alpha=\"0.01\", expect_size=\"43929600\"] \n  32 -> 35 [size =\"43929600\"]\n  32 -> 36 [size =\"43929600\"]\n  32 -> 38 [size =\"43929600\"]\n  33 [size=\"47629653\", alpha=\"0.03\", expect_size=\"14288896\"] \n  33 -> 35 [size =\"14288896\"]\n  33 -> 39 [size =\"14288896\"]\n  34 [size=\"113554773\", alpha=\"0.08\", expect_size=\"34066432\"] \n  34 -> 35 [size =\"34066432\"]\n  34 -> 36 [size =\"34066432\"]\n  34 -> 37 [size =\"34066432\"]\n  34 -> 38 [size =\"34066432\"]\n  34 -> 40 [size =\"34066432\"]\n  35 [size=\"117804373\", alpha=\"0.02\", expect_size=\"35341312\"] \n  35 -> 43 [size =\"35341312\"]\n  36 [size=\"90999467\", alpha=\"0.14\", expect_size=\"27299840\"] \n  36 -> 42 [size =\"27299840\"]\n  37 [size=\"130433707\", alpha=\"0.15\", expect_size=\"39130112\"] \n  37 -> 42 [size =\"39130112\"]\n  37 -> 43 [size =\"39130112\"]\n  37 -> 45 [size =\"39130112\"]\n  38 [size=\"140922880\", alpha=\"0.04\", expect_size=\"42276864\"] \n  38 -> 44 [size =\"42276864\"]\n  39 [size=\"95692800\", alpha=\"0.17\", expect_size=\"28707840\"] \n  39 -> 44 [size =\"28707840\"]\n  40 [size=\"48909653\", alpha=\"0.08\", expect_size=\"14672896\"] \n  40 -> 41 [size =\"14672896\"]\n  40 -> 43 [size =\"14672896\"]\n  40 -> 44 [size =\"14672896\"]\n  41 [size=\"120705707\", alpha=\"0.07\", expect_size=\"36211712\"] \n  42 [size=\"134881280\", alpha=\"0.17\", expect_size=\"40464384\"] \n  43 [size=\"145766400\", alpha=\"0.00\", expect_size=\"43729920\"] \n  44 [size=\"170451627\", alpha=\"0.19\", expect_size=\"51135488\"] \n  45 [size=\"78619307\", alpha=\"0.13\", expect_size=\"23585792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46225920\", alpha=\"0.07\", expect_size=\"18490368\"] \n  1 -> 3 [size =\"18490368\"]\n  1 -> 4 [size =\"18490368\"]\n  2 [size=\"99225600\", alpha=\"0.07\", expect_size=\"39690240\"] \n  2 -> 3 [size =\"39690240\"]\n  2 -> 4 [size =\"39690240\"]\n  3 [size=\"52270080\", alpha=\"0.17\", expect_size=\"20908032\"] \n  3 -> 5 [size =\"20908032\"]\n  4 [size=\"28236800\", alpha=\"0.20\", expect_size=\"11294720\"] \n  4 -> 5 [size =\"11294720\"]\n  4 -> 6 [size =\"11294720\"]\n  4 -> 7 [size =\"11294720\"]\n  5 [size=\"24373760\", alpha=\"0.06\", expect_size=\"9749504\"] \n  5 -> 8 [size =\"9749504\"]\n  5 -> 9 [size =\"9749504\"]\n  6 [size=\"94963200\", alpha=\"0.12\", expect_size=\"37985280\"] \n  6 -> 8 [size =\"37985280\"]\n  6 -> 9 [size =\"37985280\"]\n  7 [size=\"57305600\", alpha=\"0.06\", expect_size=\"22922240\"] \n  7 -> 8 [size =\"22922240\"]\n  8 [size=\"123220480\", alpha=\"0.16\", expect_size=\"49288192\"] \n  8 -> 10 [size =\"49288192\"]\n  9 [size=\"84341760\", alpha=\"0.14\", expect_size=\"33736704\"] \n  9 -> 10 [size =\"33736704\"]\n  9 -> 11 [size =\"33736704\"]\n  10 [size=\"106186240\", alpha=\"0.02\", expect_size=\"42474496\"] \n  10 -> 12 [size =\"42474496\"]\n  10 -> 13 [size =\"42474496\"]\n  10 -> 14 [size =\"42474496\"]\n  11 [size=\"117839360\", alpha=\"0.14\", expect_size=\"47135744\"] \n  11 -> 12 [size =\"47135744\"]\n  11 -> 13 [size =\"47135744\"]\n  11 -> 14 [size =\"47135744\"]\n  12 [size=\"41256960\", alpha=\"0.11\", expect_size=\"16502784\"] \n  12 -> 15 [size =\"16502784\"]\n  12 -> 16 [size =\"16502784\"]\n  12 -> 17 [size =\"16502784\"]\n  13 [size=\"85432320\", alpha=\"0.12\", expect_size=\"34172928\"] \n  13 -> 15 [size =\"34172928\"]\n  13 -> 16 [size =\"34172928\"]\n  13 -> 17 [size =\"34172928\"]\n  14 [size=\"65418240\", alpha=\"0.15\", expect_size=\"26167296\"] \n  14 -> 15 [size =\"26167296\"]\n  14 -> 16 [size =\"26167296\"]\n  14 -> 17 [size =\"26167296\"]\n  15 [size=\"62620160\", alpha=\"0.20\", expect_size=\"25048064\"] \n  15 -> 18 [size =\"25048064\"]\n  15 -> 20 [size =\"25048064\"]\n  16 [size=\"100400640\", alpha=\"0.04\", expect_size=\"40160256\"] \n  16 -> 18 [size =\"40160256\"]\n  16 -> 19 [size =\"40160256\"]\n  16 -> 20 [size =\"40160256\"]\n  17 [size=\"54551040\", alpha=\"0.20\", expect_size=\"21820416\"] \n  17 -> 18 [size =\"21820416\"]\n  17 -> 19 [size =\"21820416\"]\n  18 [size=\"92477440\", alpha=\"0.03\", expect_size=\"36990976\"] \n  18 -> 21 [size =\"36990976\"]\n  18 -> 23 [size =\"36990976\"]\n  19 [size=\"70169600\", alpha=\"0.19\", expect_size=\"28067840\"] \n  19 -> 21 [size =\"28067840\"]\n  19 -> 22 [size =\"28067840\"]\n  19 -> 23 [size =\"28067840\"]\n  20 [size=\"32788480\", alpha=\"0.06\", expect_size=\"13115392\"] \n  20 -> 22 [size =\"13115392\"]\n  20 -> 22 [size =\"13115392\"]\n  20 -> 23 [size =\"13115392\"]\n  21 [size=\"46392320\", alpha=\"0.18\", expect_size=\"18556928\"] \n  21 -> 24 [size =\"18556928\"]\n  21 -> 25 [size =\"18556928\"]\n  22 [size=\"13322240\", alpha=\"0.05\", expect_size=\"5328896\"] \n  23 [size=\"80494080\", alpha=\"0.19\", expect_size=\"32197632\"] \n  23 -> 24 [size =\"32197632\"]\n  23 -> 25 [size =\"32197632\"]\n  24 [size=\"34659840\", alpha=\"0.16\", expect_size=\"13863936\"] \n  24 -> 26 [size =\"13863936\"]\n  24 -> 27 [size =\"13863936\"]\n  25 [size=\"124687360\", alpha=\"0.14\", expect_size=\"49874944\"] \n  25 -> 26 [size =\"49874944\"]\n  25 -> 27 [size =\"49874944\"]\n  26 [size=\"121991680\", alpha=\"0.06\", expect_size=\"48796672\"] \n  26 -> 28 [size =\"48796672\"]\n  26 -> 29 [size =\"48796672\"]\n  26 -> 30 [size =\"48796672\"]\n  27 [size=\"29785600\", alpha=\"0.06\", expect_size=\"11914240\"] \n  27 -> 28 [size =\"11914240\"]\n  27 -> 29 [size =\"11914240\"]\n  28 [size=\"26984960\", alpha=\"0.04\", expect_size=\"10793984\"] \n  28 -> 31 [size =\"10793984\"]\n  28 -> 32 [size =\"10793984\"]\n  28 -> 33 [size =\"10793984\"]\n  29 [size=\"46681600\", alpha=\"0.15\", expect_size=\"18672640\"] \n  29 -> 31 [size =\"18672640\"]\n  29 -> 32 [size =\"18672640\"]\n  29 -> 33 [size =\"18672640\"]\n  30 [size=\"39239680\", alpha=\"0.01\", expect_size=\"15695872\"] \n  30 -> 31 [size =\"15695872\"]\n  30 -> 32 [size =\"15695872\"]\n  30 -> 33 [size =\"15695872\"]\n  31 [size=\"72867840\", alpha=\"0.05\", expect_size=\"29147136\"] \n  31 -> 35 [size =\"29147136\"]\n  31 -> 36 [size =\"29147136\"]\n  32 [size=\"62722560\", alpha=\"0.13\", expect_size=\"25089024\"] \n  32 -> 36 [size =\"25089024\"]\n  33 [size=\"94924800\", alpha=\"0.14\", expect_size=\"37969920\"] \n  33 -> 34 [size =\"37969920\"]\n  33 -> 35 [size =\"37969920\"]\n  33 -> 36 [size =\"37969920\"]\n  34 [size=\"90675200\", alpha=\"0.04\", expect_size=\"36270080\"] \n  34 -> 37 [size =\"36270080\"]\n  34 -> 38 [size =\"36270080\"]\n  35 [size=\"65100800\", alpha=\"0.03\", expect_size=\"26040320\"] \n  35 -> 38 [size =\"26040320\"]\n  36 [size=\"29470720\", alpha=\"0.16\", expect_size=\"11788288\"] \n  36 -> 37 [size =\"11788288\"]\n  37 [size=\"65640960\", alpha=\"0.16\", expect_size=\"26256384\"] \n  37 -> 39 [size =\"26256384\"]\n  37 -> 40 [size =\"26256384\"]\n  37 -> 41 [size =\"26256384\"]\n  38 [size=\"99850240\", alpha=\"0.09\", expect_size=\"39940096\"] \n  38 -> 39 [size =\"39940096\"]\n  38 -> 40 [size =\"39940096\"]\n  38 -> 41 [size =\"39940096\"]\n  39 [size=\"124247040\", alpha=\"0.12\", expect_size=\"49698816\"] \n  39 -> 42 [size =\"49698816\"]\n  39 -> 43 [size =\"49698816\"]\n  40 [size=\"92103680\", alpha=\"0.19\", expect_size=\"36841472\"] \n  40 -> 42 [size =\"36841472\"]\n  40 -> 43 [size =\"36841472\"]\n  41 [size=\"96496640\", alpha=\"0.11\", expect_size=\"38598656\"] \n  41 -> 42 [size =\"38598656\"]\n  41 -> 43 [size =\"38598656\"]\n  42 [size=\"124200960\", alpha=\"0.03\", expect_size=\"49680384\"] \n  42 -> 44 [size =\"49680384\"]\n  42 -> 45 [size =\"49680384\"]\n  43 [size=\"85399040\", alpha=\"0.07\", expect_size=\"34159616\"] \n  43 -> 44 [size =\"34159616\"]\n  44 [size=\"52418560\", alpha=\"0.14\", expect_size=\"20967424\"] \n  45 [size=\"77570560\", alpha=\"0.01\", expect_size=\"31028224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123992747\", alpha=\"0.00\", expect_size=\"37197824\"] \n  1 -> 4 [size =\"37197824\"]\n  1 -> 5 [size =\"37197824\"]\n  2 [size=\"72601600\", alpha=\"0.13\", expect_size=\"21780480\"] \n  2 -> 3 [size =\"21780480\"]\n  2 -> 4 [size =\"21780480\"]\n  2 -> 5 [size =\"21780480\"]\n  3 [size=\"144155307\", alpha=\"0.05\", expect_size=\"43246592\"] \n  3 -> 6 [size =\"43246592\"]\n  3 -> 7 [size =\"43246592\"]\n  3 -> 8 [size =\"43246592\"]\n  4 [size=\"101802667\", alpha=\"0.12\", expect_size=\"30540800\"] \n  4 -> 6 [size =\"30540800\"]\n  5 [size=\"150773760\", alpha=\"0.06\", expect_size=\"45232128\"] \n  5 -> 6 [size =\"45232128\"]\n  5 -> 7 [size =\"45232128\"]\n  6 [size=\"104727893\", alpha=\"0.19\", expect_size=\"31418368\"] \n  6 -> 10 [size =\"31418368\"]\n  6 -> 11 [size =\"31418368\"]\n  7 [size=\"124641280\", alpha=\"0.15\", expect_size=\"37392384\"] \n  7 -> 9 [size =\"37392384\"]\n  7 -> 10 [size =\"37392384\"]\n  7 -> 11 [size =\"37392384\"]\n  8 [size=\"73472000\", alpha=\"0.15\", expect_size=\"22041600\"] \n  8 -> 11 [size =\"22041600\"]\n  9 [size=\"73472000\", alpha=\"0.15\", expect_size=\"22041600\"] \n  9 -> 12 [size =\"22041600\"]\n  10 [size=\"101034667\", alpha=\"0.11\", expect_size=\"30310400\"] \n  10 -> 12 [size =\"30310400\"]\n  10 -> 14 [size =\"30310400\"]\n  11 [size=\"122330453\", alpha=\"0.20\", expect_size=\"36699136\"] \n  11 -> 12 [size =\"36699136\"]\n  11 -> 13 [size =\"36699136\"]\n  11 -> 14 [size =\"36699136\"]\n  12 [size=\"123129173\", alpha=\"0.05\", expect_size=\"36938752\"] \n  12 -> 15 [size =\"36938752\"]\n  12 -> 16 [size =\"36938752\"]\n  13 [size=\"64617813\", alpha=\"0.06\", expect_size=\"19385344\"] \n  13 -> 15 [size =\"19385344\"]\n  13 -> 16 [size =\"19385344\"]\n  14 [size=\"106024960\", alpha=\"0.13\", expect_size=\"31807488\"] \n  14 -> 15 [size =\"31807488\"]\n  15 [size=\"46230187\", alpha=\"0.05\", expect_size=\"13869056\"] \n  15 -> 17 [size =\"13869056\"]\n  16 [size=\"92306773\", alpha=\"0.12\", expect_size=\"27692032\"] \n  16 -> 17 [size =\"27692032\"]\n  16 -> 18 [size =\"27692032\"]\n  17 [size=\"85340160\", alpha=\"0.03\", expect_size=\"25602048\"] \n  17 -> 19 [size =\"25602048\"]\n  17 -> 20 [size =\"25602048\"]\n  17 -> 21 [size =\"25602048\"]\n  18 [size=\"47636480\", alpha=\"0.16\", expect_size=\"14290944\"] \n  18 -> 20 [size =\"14290944\"]\n  18 -> 21 [size =\"14290944\"]\n  19 [size=\"169359360\", alpha=\"0.17\", expect_size=\"50807808\"] \n  19 -> 22 [size =\"50807808\"]\n  19 -> 23 [size =\"50807808\"]\n  20 [size=\"130990080\", alpha=\"0.08\", expect_size=\"39297024\"] \n  20 -> 22 [size =\"39297024\"]\n  21 [size=\"61665280\", alpha=\"0.12\", expect_size=\"18499584\"] \n  21 -> 22 [size =\"18499584\"]\n  21 -> 24 [size =\"18499584\"]\n  22 [size=\"61149867\", alpha=\"0.04\", expect_size=\"18344960\"] \n  22 -> 25 [size =\"18344960\"]\n  22 -> 26 [size =\"18344960\"]\n  23 [size=\"102601387\", alpha=\"0.12\", expect_size=\"30780416\"] \n  23 -> 25 [size =\"30780416\"]\n  24 [size=\"146343253\", alpha=\"0.10\", expect_size=\"43902976\"] \n  24 -> 25 [size =\"43902976\"]\n  25 [size=\"88415573\", alpha=\"0.06\", expect_size=\"26524672\"] \n  25 -> 27 [size =\"26524672\"]\n  25 -> 28 [size =\"26524672\"]\n  26 [size=\"130522453\", alpha=\"0.12\", expect_size=\"39156736\"] \n  26 -> 27 [size =\"39156736\"]\n  26 -> 28 [size =\"39156736\"]\n  27 [size=\"63726933\", alpha=\"0.12\", expect_size=\"19118080\"] \n  27 -> 29 [size =\"19118080\"]\n  27 -> 30 [size =\"19118080\"]\n  27 -> 31 [size =\"19118080\"]\n  28 [size=\"83636907\", alpha=\"0.20\", expect_size=\"25091072\"] \n  28 -> 29 [size =\"25091072\"]\n  28 -> 30 [size =\"25091072\"]\n  28 -> 31 [size =\"25091072\"]\n  29 [size=\"49950720\", alpha=\"0.14\", expect_size=\"14985216\"] \n  29 -> 32 [size =\"14985216\"]\n  30 [size=\"23838720\", alpha=\"0.19\", expect_size=\"7151616\"] \n  30 -> 32 [size =\"7151616\"]\n  30 -> 33 [size =\"7151616\"]\n  31 [size=\"84862293\", alpha=\"0.17\", expect_size=\"25458688\"] \n  31 -> 32 [size =\"25458688\"]\n  32 [size=\"24971947\", alpha=\"0.09\", expect_size=\"7491584\"] \n  32 -> 34 [size =\"7491584\"]\n  32 -> 35 [size =\"7491584\"]\n  32 -> 36 [size =\"7491584\"]\n  33 [size=\"56576000\", alpha=\"0.07\", expect_size=\"16972800\"] \n  33 -> 34 [size =\"16972800\"]\n  33 -> 35 [size =\"16972800\"]\n  33 -> 36 [size =\"16972800\"]\n  34 [size=\"149070507\", alpha=\"0.16\", expect_size=\"44721152\"] \n  34 -> 38 [size =\"44721152\"]\n  35 [size=\"72209067\", alpha=\"0.09\", expect_size=\"21662720\"] \n  35 -> 37 [size =\"21662720\"]\n  35 -> 38 [size =\"21662720\"]\n  36 [size=\"116582400\", alpha=\"0.11\", expect_size=\"34974720\"] \n  36 -> 37 [size =\"34974720\"]\n  36 -> 38 [size =\"34974720\"]\n  37 [size=\"54865920\", alpha=\"0.02\", expect_size=\"16459776\"] \n  37 -> 39 [size =\"16459776\"]\n  37 -> 40 [size =\"16459776\"]\n  37 -> 41 [size =\"16459776\"]\n  38 [size=\"151514453\", alpha=\"0.16\", expect_size=\"45454336\"] \n  38 -> 39 [size =\"45454336\"]\n  38 -> 40 [size =\"45454336\"]\n  39 [size=\"147950933\", alpha=\"0.10\", expect_size=\"44385280\"] \n  39 -> 42 [size =\"44385280\"]\n  39 -> 43 [size =\"44385280\"]\n  39 -> 44 [size =\"44385280\"]\n  40 [size=\"100171093\", alpha=\"0.19\", expect_size=\"30051328\"] \n  40 -> 42 [size =\"30051328\"]\n  40 -> 43 [size =\"30051328\"]\n  40 -> 44 [size =\"30051328\"]\n  41 [size=\"91733333\", alpha=\"0.13\", expect_size=\"27520000\"] \n  41 -> 42 [size =\"27520000\"]\n  41 -> 43 [size =\"27520000\"]\n  41 -> 44 [size =\"27520000\"]\n  42 [size=\"70208853\", alpha=\"0.12\", expect_size=\"21062656\"] \n  42 -> 45 [size =\"21062656\"]\n  43 [size=\"141243733\", alpha=\"0.03\", expect_size=\"42373120\"] \n  43 -> 45 [size =\"42373120\"]\n  44 [size=\"37416960\", alpha=\"0.09\", expect_size=\"11225088\"] \n  44 -> 45 [size =\"11225088\"]\n  45 [size=\"161843200\", alpha=\"0.05\", expect_size=\"48552960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108331520\", alpha=\"0.01\", expect_size=\"43332608\"] \n  1 -> 44 [size =\"43332608\"]\n  2 [size=\"79398400\", alpha=\"0.18\", expect_size=\"31759360\"] \n  3 [size=\"45926400\", alpha=\"0.11\", expect_size=\"18370560\"] \n  3 -> 44 [size =\"18370560\"]\n  4 [size=\"50270720\", alpha=\"0.12\", expect_size=\"20108288\"] \n  4 -> 39 [size =\"20108288\"]\n  4 -> 42 [size =\"20108288\"]\n  4 -> 44 [size =\"20108288\"]\n  5 [size=\"30586880\", alpha=\"0.13\", expect_size=\"12234752\"] \n  5 -> 45 [size =\"12234752\"]\n  6 [size=\"31027200\", alpha=\"0.15\", expect_size=\"12410880\"] \n  6 -> 43 [size =\"12410880\"]\n  6 -> 45 [size =\"12410880\"]\n  7 [size=\"88110080\", alpha=\"0.13\", expect_size=\"35244032\"] \n  7 -> 39 [size =\"35244032\"]\n  7 -> 45 [size =\"35244032\"]\n  8 [size=\"113843200\", alpha=\"0.19\", expect_size=\"45537280\"] \n  8 -> 44 [size =\"45537280\"]\n  8 -> 45 [size =\"45537280\"]\n  9 [size=\"91420160\", alpha=\"0.00\", expect_size=\"36568064\"] \n  9 -> 44 [size =\"36568064\"]\n  9 -> 45 [size =\"36568064\"]\n  10 [size=\"98703360\", alpha=\"0.00\", expect_size=\"39481344\"] \n  10 -> 44 [size =\"39481344\"]\n  10 -> 45 [size =\"39481344\"]\n  11 [size=\"39226880\", alpha=\"0.07\", expect_size=\"15690752\"] \n  12 [size=\"42391040\", alpha=\"0.16\", expect_size=\"16956416\"] \n  12 -> 44 [size =\"16956416\"]\n  13 [size=\"29422080\", alpha=\"0.01\", expect_size=\"11768832\"] \n  13 -> 45 [size =\"11768832\"]\n  14 [size=\"91617280\", alpha=\"0.05\", expect_size=\"36646912\"] \n  14 -> 39 [size =\"36646912\"]\n  14 -> 44 [size =\"36646912\"]\n  15 [size=\"42019840\", alpha=\"0.13\", expect_size=\"16807936\"] \n  15 -> 39 [size =\"16807936\"]\n  15 -> 45 [size =\"16807936\"]\n  16 [size=\"119784960\", alpha=\"0.14\", expect_size=\"47913984\"] \n  16 -> 39 [size =\"47913984\"]\n  16 -> 41 [size =\"47913984\"]\n  17 [size=\"90616320\", alpha=\"0.03\", expect_size=\"36246528\"] \n  17 -> 39 [size =\"36246528\"]\n  17 -> 44 [size =\"36246528\"]\n  17 -> 45 [size =\"36246528\"]\n  18 [size=\"50805760\", alpha=\"0.08\", expect_size=\"20322304\"] \n  18 -> 43 [size =\"20322304\"]\n  18 -> 44 [size =\"20322304\"]\n  18 -> 45 [size =\"20322304\"]\n  19 [size=\"46246400\", alpha=\"0.16\", expect_size=\"18498560\"] \n  19 -> 39 [size =\"18498560\"]\n  19 -> 44 [size =\"18498560\"]\n  19 -> 45 [size =\"18498560\"]\n  20 [size=\"49131520\", alpha=\"0.17\", expect_size=\"19652608\"] \n  20 -> 39 [size =\"19652608\"]\n  20 -> 44 [size =\"19652608\"]\n  20 -> 45 [size =\"19652608\"]\n  21 [size=\"51568640\", alpha=\"0.15\", expect_size=\"20627456\"] \n  21 -> 39 [size =\"20627456\"]\n  21 -> 45 [size =\"20627456\"]\n  22 [size=\"90352640\", alpha=\"0.03\", expect_size=\"36141056\"] \n  22 -> 39 [size =\"36141056\"]\n  23 [size=\"65556480\", alpha=\"0.17\", expect_size=\"26222592\"] \n  23 -> 39 [size =\"26222592\"]\n  23 -> 45 [size =\"26222592\"]\n  24 [size=\"72806400\", alpha=\"0.18\", expect_size=\"29122560\"] \n  24 -> 44 [size =\"29122560\"]\n  25 [size=\"101800960\", alpha=\"0.01\", expect_size=\"40720384\"] \n  26 [size=\"61941760\", alpha=\"0.07\", expect_size=\"24776704\"] \n  26 -> 39 [size =\"24776704\"]\n  26 -> 41 [size =\"24776704\"]\n  26 -> 44 [size =\"24776704\"]\n  27 [size=\"28318720\", alpha=\"0.06\", expect_size=\"11327488\"] \n  27 -> 39 [size =\"11327488\"]\n  27 -> 41 [size =\"11327488\"]\n  27 -> 44 [size =\"11327488\"]\n  28 [size=\"47270400\", alpha=\"0.02\", expect_size=\"18908160\"] \n  28 -> 39 [size =\"18908160\"]\n  28 -> 44 [size =\"18908160\"]\n  29 [size=\"95521280\", alpha=\"0.12\", expect_size=\"38208512\"] \n  30 [size=\"73853440\", alpha=\"0.16\", expect_size=\"29541376\"] \n  30 -> 39 [size =\"29541376\"]\n  30 -> 43 [size =\"29541376\"]\n  30 -> 45 [size =\"29541376\"]\n  31 [size=\"58708480\", alpha=\"0.04\", expect_size=\"23483392\"] \n  31 -> 39 [size =\"23483392\"]\n  31 -> 45 [size =\"23483392\"]\n  32 [size=\"27351040\", alpha=\"0.18\", expect_size=\"10940416\"] \n  32 -> 39 [size =\"10940416\"]\n  33 [size=\"46069760\", alpha=\"0.14\", expect_size=\"18427904\"] \n  33 -> 40 [size =\"18427904\"]\n  33 -> 44 [size =\"18427904\"]\n  34 [size=\"29724160\", alpha=\"0.03\", expect_size=\"11889664\"] \n  35 [size=\"15477760\", alpha=\"0.17\", expect_size=\"6191104\"] \n  35 -> 39 [size =\"6191104\"]\n  35 -> 41 [size =\"6191104\"]\n  36 [size=\"20812800\", alpha=\"0.10\", expect_size=\"8325120\"] \n  36 -> 41 [size =\"8325120\"]\n  36 -> 42 [size =\"8325120\"]\n  36 -> 44 [size =\"8325120\"]\n  37 [size=\"63651840\", alpha=\"0.15\", expect_size=\"25460736\"] \n  37 -> 42 [size =\"25460736\"]\n  37 -> 44 [size =\"25460736\"]\n  37 -> 45 [size =\"25460736\"]\n  38 [size=\"101032960\", alpha=\"0.07\", expect_size=\"40413184\"] \n  38 -> 41 [size =\"40413184\"]\n  39 [size=\"115727360\", alpha=\"0.05\", expect_size=\"46290944\"] \n  40 [size=\"68090880\", alpha=\"0.09\", expect_size=\"27236352\"] \n  41 [size=\"43717120\", alpha=\"0.19\", expect_size=\"17486848\"] \n  42 [size=\"68728320\", alpha=\"0.02\", expect_size=\"27491328\"] \n  43 [size=\"54443520\", alpha=\"0.14\", expect_size=\"21777408\"] \n  44 [size=\"17177600\", alpha=\"0.16\", expect_size=\"6871040\"] \n  45 [size=\"35445760\", alpha=\"0.14\", expect_size=\"14178304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82025813\", alpha=\"0.18\", expect_size=\"24607744\"] \n  1 -> 30 [size =\"24607744\"]\n  1 -> 32 [size =\"24607744\"]\n  1 -> 34 [size =\"24607744\"]\n  1 -> 34 [size =\"24607744\"]\n  1 -> 38 [size =\"24607744\"]\n  1 -> 40 [size =\"24607744\"]\n  1 -> 41 [size =\"24607744\"]\n  1 -> 45 [size =\"24607744\"]\n  2 [size=\"96266240\", alpha=\"0.19\", expect_size=\"28879872\"] \n  2 -> 31 [size =\"28879872\"]\n  2 -> 33 [size =\"28879872\"]\n  2 -> 40 [size =\"28879872\"]\n  2 -> 41 [size =\"28879872\"]\n  2 -> 45 [size =\"28879872\"]\n  3 [size=\"78168747\", alpha=\"0.11\", expect_size=\"23450624\"] \n  3 -> 30 [size =\"23450624\"]\n  3 -> 31 [size =\"23450624\"]\n  3 -> 36 [size =\"23450624\"]\n  3 -> 41 [size =\"23450624\"]\n  3 -> 45 [size =\"23450624\"]\n  4 [size=\"117299200\", alpha=\"0.13\", expect_size=\"35189760\"] \n  4 -> 30 [size =\"35189760\"]\n  4 -> 32 [size =\"35189760\"]\n  4 -> 34 [size =\"35189760\"]\n  4 -> 37 [size =\"35189760\"]\n  4 -> 44 [size =\"35189760\"]\n  4 -> 45 [size =\"35189760\"]\n  5 [size=\"115957760\", alpha=\"0.10\", expect_size=\"34787328\"] \n  5 -> 29 [size =\"34787328\"]\n  5 -> 30 [size =\"34787328\"]\n  5 -> 31 [size =\"34787328\"]\n  5 -> 32 [size =\"34787328\"]\n  5 -> 33 [size =\"34787328\"]\n  5 -> 34 [size =\"34787328\"]\n  5 -> 35 [size =\"34787328\"]\n  5 -> 44 [size =\"34787328\"]\n  5 -> 45 [size =\"34787328\"]\n  6 [size=\"44813653\", alpha=\"0.01\", expect_size=\"13444096\"] \n  6 -> 30 [size =\"13444096\"]\n  6 -> 31 [size =\"13444096\"]\n  6 -> 32 [size =\"13444096\"]\n  6 -> 34 [size =\"13444096\"]\n  6 -> 36 [size =\"13444096\"]\n  6 -> 43 [size =\"13444096\"]\n  6 -> 45 [size =\"13444096\"]\n  7 [size=\"60276053\", alpha=\"0.11\", expect_size=\"18082816\"] \n  7 -> 29 [size =\"18082816\"]\n  7 -> 30 [size =\"18082816\"]\n  7 -> 31 [size =\"18082816\"]\n  7 -> 32 [size =\"18082816\"]\n  7 -> 33 [size =\"18082816\"]\n  7 -> 34 [size =\"18082816\"]\n  7 -> 39 [size =\"18082816\"]\n  7 -> 40 [size =\"18082816\"]\n  7 -> 43 [size =\"18082816\"]\n  8 [size=\"109574827\", alpha=\"0.18\", expect_size=\"32872448\"] \n  8 -> 33 [size =\"32872448\"]\n  8 -> 34 [size =\"32872448\"]\n  8 -> 36 [size =\"32872448\"]\n  8 -> 40 [size =\"32872448\"]\n  8 -> 43 [size =\"32872448\"]\n  8 -> 44 [size =\"32872448\"]\n  9 [size=\"28484267\", alpha=\"0.04\", expect_size=\"8545280\"] \n  9 -> 34 [size =\"8545280\"]\n  9 -> 39 [size =\"8545280\"]\n  9 -> 44 [size =\"8545280\"]\n  9 -> 45 [size =\"8545280\"]\n  10 [size=\"70386347\", alpha=\"0.08\", expect_size=\"21115904\"] \n  10 -> 30 [size =\"21115904\"]\n  10 -> 31 [size =\"21115904\"]\n  10 -> 36 [size =\"21115904\"]\n  10 -> 40 [size =\"21115904\"]\n  10 -> 41 [size =\"21115904\"]\n  10 -> 42 [size =\"21115904\"]\n  10 -> 45 [size =\"21115904\"]\n  11 [size=\"41710933\", alpha=\"0.07\", expect_size=\"12513280\"] \n  11 -> 31 [size =\"12513280\"]\n  11 -> 36 [size =\"12513280\"]\n  12 [size=\"24350720\", alpha=\"0.00\", expect_size=\"7305216\"] \n  12 -> 31 [size =\"7305216\"]\n  12 -> 32 [size =\"7305216\"]\n  12 -> 42 [size =\"7305216\"]\n  12 -> 43 [size =\"7305216\"]\n  13 [size=\"20217173\", alpha=\"0.09\", expect_size=\"6065152\"] \n  13 -> 35 [size =\"6065152\"]\n  13 -> 39 [size =\"6065152\"]\n  13 -> 41 [size =\"6065152\"]\n  13 -> 43 [size =\"6065152\"]\n  13 -> 45 [size =\"6065152\"]\n  14 [size=\"104905387\", alpha=\"0.09\", expect_size=\"31471616\"] \n  14 -> 29 [size =\"31471616\"]\n  14 -> 30 [size =\"31471616\"]\n  14 -> 34 [size =\"31471616\"]\n  14 -> 36 [size =\"31471616\"]\n  14 -> 37 [size =\"31471616\"]\n  14 -> 40 [size =\"31471616\"]\n  14 -> 41 [size =\"31471616\"]\n  14 -> 43 [size =\"31471616\"]\n  14 -> 45 [size =\"31471616\"]\n  15 [size=\"53599573\", alpha=\"0.15\", expect_size=\"16079872\"] \n  15 -> 31 [size =\"16079872\"]\n  15 -> 33 [size =\"16079872\"]\n  15 -> 40 [size =\"16079872\"]\n  15 -> 41 [size =\"16079872\"]\n  16 [size=\"134021120\", alpha=\"0.14\", expect_size=\"40206336\"] \n  16 -> 34 [size =\"40206336\"]\n  16 -> 35 [size =\"40206336\"]\n  16 -> 40 [size =\"40206336\"]\n  16 -> 41 [size =\"40206336\"]\n  16 -> 43 [size =\"40206336\"]\n  16 -> 44 [size =\"40206336\"]\n  17 [size=\"143964160\", alpha=\"0.15\", expect_size=\"43189248\"] \n  18 [size=\"73581227\", alpha=\"0.19\", expect_size=\"22074368\"] \n  18 -> 30 [size =\"22074368\"]\n  18 -> 33 [size =\"22074368\"]\n  18 -> 35 [size =\"22074368\"]\n  18 -> 36 [size =\"22074368\"]\n  18 -> 40 [size =\"22074368\"]\n  19 [size=\"58094933\", alpha=\"0.15\", expect_size=\"17428480\"] \n  19 -> 31 [size =\"17428480\"]\n  19 -> 33 [size =\"17428480\"]\n  19 -> 36 [size =\"17428480\"]\n  19 -> 39 [size =\"17428480\"]\n  19 -> 40 [size =\"17428480\"]\n  19 -> 41 [size =\"17428480\"]\n  19 -> 45 [size =\"17428480\"]\n  20 [size=\"87654400\", alpha=\"0.10\", expect_size=\"26296320\"] \n  20 -> 30 [size =\"26296320\"]\n  20 -> 32 [size =\"26296320\"]\n  20 -> 33 [size =\"26296320\"]\n  20 -> 36 [size =\"26296320\"]\n  20 -> 43 [size =\"26296320\"]\n  20 -> 45 [size =\"26296320\"]\n  21 [size=\"150128640\", alpha=\"0.14\", expect_size=\"45038592\"] \n  21 -> 30 [size =\"45038592\"]\n  21 -> 32 [size =\"45038592\"]\n  21 -> 34 [size =\"45038592\"]\n  21 -> 36 [size =\"45038592\"]\n  21 -> 37 [size =\"45038592\"]\n  21 -> 43 [size =\"45038592\"]\n  21 -> 45 [size =\"45038592\"]\n  22 [size=\"46530560\", alpha=\"0.07\", expect_size=\"13959168\"] \n  22 -> 30 [size =\"13959168\"]\n  22 -> 31 [size =\"13959168\"]\n  22 -> 34 [size =\"13959168\"]\n  22 -> 39 [size =\"13959168\"]\n  22 -> 43 [size =\"13959168\"]\n  22 -> 43 [size =\"13959168\"]\n  23 [size=\"49626453\", alpha=\"0.09\", expect_size=\"14887936\"] \n  23 -> 30 [size =\"14887936\"]\n  23 -> 31 [size =\"14887936\"]\n  23 -> 32 [size =\"14887936\"]\n  23 -> 40 [size =\"14887936\"]\n  23 -> 41 [size =\"14887936\"]\n  23 -> 43 [size =\"14887936\"]\n  23 -> 45 [size =\"14887936\"]\n  24 [size=\"121241600\", alpha=\"0.03\", expect_size=\"36372480\"] \n  24 -> 30 [size =\"36372480\"]\n  24 -> 31 [size =\"36372480\"]\n  24 -> 33 [size =\"36372480\"]\n  24 -> 36 [size =\"36372480\"]\n  24 -> 39 [size =\"36372480\"]\n  24 -> 40 [size =\"36372480\"]\n  25 [size=\"32573440\", alpha=\"0.10\", expect_size=\"9772032\"] \n  25 -> 30 [size =\"9772032\"]\n  25 -> 32 [size =\"9772032\"]\n  25 -> 36 [size =\"9772032\"]\n  25 -> 36 [size =\"9772032\"]\n  25 -> 39 [size =\"9772032\"]\n  25 -> 40 [size =\"9772032\"]\n  25 -> 41 [size =\"9772032\"]\n  26 [size=\"152913920\", alpha=\"0.20\", expect_size=\"45874176\"] \n  26 -> 31 [size =\"45874176\"]\n  26 -> 33 [size =\"45874176\"]\n  26 -> 34 [size =\"45874176\"]\n  26 -> 39 [size =\"45874176\"]\n  26 -> 40 [size =\"45874176\"]\n  26 -> 41 [size =\"45874176\"]\n  26 -> 41 [size =\"45874176\"]\n  26 -> 44 [size =\"45874176\"]\n  27 [size=\"105226240\", alpha=\"0.15\", expect_size=\"31567872\"] \n  27 -> 33 [size =\"31567872\"]\n  27 -> 39 [size =\"31567872\"]\n  27 -> 40 [size =\"31567872\"]\n  27 -> 41 [size =\"31567872\"]\n  27 -> 43 [size =\"31567872\"]\n  28 [size=\"64716800\", alpha=\"0.03\", expect_size=\"19415040\"] \n  28 -> 31 [size =\"19415040\"]\n  28 -> 32 [size =\"19415040\"]\n  28 -> 33 [size =\"19415040\"]\n  28 -> 34 [size =\"19415040\"]\n  28 -> 36 [size =\"19415040\"]\n  28 -> 39 [size =\"19415040\"]\n  28 -> 40 [size =\"19415040\"]\n  28 -> 41 [size =\"19415040\"]\n  29 [size=\"55343787\", alpha=\"0.11\", expect_size=\"16603136\"] \n  30 [size=\"169799680\", alpha=\"0.07\", expect_size=\"50939904\"] \n  31 [size=\"91528533\", alpha=\"0.05\", expect_size=\"27458560\"] \n  32 [size=\"42369707\", alpha=\"0.05\", expect_size=\"12710912\"] \n  33 [size=\"101109760\", alpha=\"0.04\", expect_size=\"30332928\"] \n  34 [size=\"171161600\", alpha=\"0.15\", expect_size=\"51348480\"] \n  35 [size=\"37778773\", alpha=\"0.11\", expect_size=\"11333632\"] \n  36 [size=\"114018987\", alpha=\"0.01\", expect_size=\"34205696\"] \n  37 [size=\"112643413\", alpha=\"0.07\", expect_size=\"33793024\"] \n  38 [size=\"76451840\", alpha=\"0.01\", expect_size=\"22935552\"] \n  39 [size=\"97553067\", alpha=\"0.19\", expect_size=\"29265920\"] \n  40 [size=\"29661867\", alpha=\"0.07\", expect_size=\"8898560\"] \n  41 [size=\"82978133\", alpha=\"0.11\", expect_size=\"24893440\"] \n  42 [size=\"124453547\", alpha=\"0.19\", expect_size=\"37336064\"] \n  43 [size=\"160959147\", alpha=\"0.12\", expect_size=\"48287744\"] \n  44 [size=\"37959680\", alpha=\"0.17\", expect_size=\"11387904\"] \n  45 [size=\"157457067\", alpha=\"0.04\", expect_size=\"47237120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125006507\", alpha=\"0.19\", expect_size=\"37501952\"] \n  1 -> 5 [size =\"37501952\"]\n  2 [size=\"169362773\", alpha=\"0.03\", expect_size=\"50808832\"] \n  2 -> 4 [size =\"50808832\"]\n  3 [size=\"151169707\", alpha=\"0.09\", expect_size=\"45350912\"] \n  3 -> 5 [size =\"45350912\"]\n  4 [size=\"129187840\", alpha=\"0.07\", expect_size=\"38756352\"] \n  4 -> 7 [size =\"38756352\"]\n  5 [size=\"132659200\", alpha=\"0.03\", expect_size=\"39797760\"] \n  5 -> 6 [size =\"39797760\"]\n  5 -> 8 [size =\"39797760\"]\n  5 -> 9 [size =\"39797760\"]\n  6 [size=\"49442133\", alpha=\"0.11\", expect_size=\"14832640\"] \n  6 -> 10 [size =\"14832640\"]\n  6 -> 11 [size =\"14832640\"]\n  7 [size=\"48974507\", alpha=\"0.01\", expect_size=\"14692352\"] \n  7 -> 11 [size =\"14692352\"]\n  8 [size=\"114169173\", alpha=\"0.11\", expect_size=\"34250752\"] \n  9 [size=\"30194347\", alpha=\"0.11\", expect_size=\"9058304\"] \n  10 [size=\"18817707\", alpha=\"0.15\", expect_size=\"5645312\"] \n  10 -> 15 [size =\"5645312\"]\n  11 [size=\"108035413\", alpha=\"0.11\", expect_size=\"32410624\"] \n  11 -> 12 [size =\"32410624\"]\n  11 -> 13 [size =\"32410624\"]\n  11 -> 14 [size =\"32410624\"]\n  12 [size=\"98027520\", alpha=\"0.03\", expect_size=\"29408256\"] \n  12 -> 16 [size =\"29408256\"]\n  12 -> 17 [size =\"29408256\"]\n  13 [size=\"119237973\", alpha=\"0.08\", expect_size=\"35771392\"] \n  13 -> 18 [size =\"35771392\"]\n  14 [size=\"34065067\", alpha=\"0.12\", expect_size=\"10219520\"] \n  14 -> 17 [size =\"10219520\"]\n  14 -> 19 [size =\"10219520\"]\n  15 [size=\"89412267\", alpha=\"0.14\", expect_size=\"26823680\"] \n  15 -> 18 [size =\"26823680\"]\n  16 [size=\"112752640\", alpha=\"0.14\", expect_size=\"33825792\"] \n  17 [size=\"43830613\", alpha=\"0.11\", expect_size=\"13149184\"] \n  18 [size=\"50302293\", alpha=\"0.14\", expect_size=\"15090688\"] \n  18 -> 20 [size =\"15090688\"]\n  18 -> 21 [size =\"15090688\"]\n  19 [size=\"138294613\", alpha=\"0.07\", expect_size=\"41488384\"] \n  20 [size=\"68819627\", alpha=\"0.02\", expect_size=\"20645888\"] \n  21 [size=\"30310400\", alpha=\"0.11\", expect_size=\"9093120\"] \n  21 -> 22 [size =\"9093120\"]\n  21 -> 23 [size =\"9093120\"]\n  22 [size=\"113172480\", alpha=\"0.19\", expect_size=\"33951744\"] \n  22 -> 24 [size =\"33951744\"]\n  23 [size=\"137826987\", alpha=\"0.05\", expect_size=\"41348096\"] \n  23 -> 25 [size =\"41348096\"]\n  24 [size=\"44079787\", alpha=\"0.04\", expect_size=\"13223936\"] \n  24 -> 26 [size =\"13223936\"]\n  24 -> 28 [size =\"13223936\"]\n  25 [size=\"135645867\", alpha=\"0.18\", expect_size=\"40693760\"] \n  25 -> 27 [size =\"40693760\"]\n  26 [size=\"85097813\", alpha=\"0.17\", expect_size=\"25529344\"] \n  26 -> 29 [size =\"25529344\"]\n  26 -> 30 [size =\"25529344\"]\n  27 [size=\"36457813\", alpha=\"0.19\", expect_size=\"10937344\"] \n  28 [size=\"122047147\", alpha=\"0.13\", expect_size=\"36614144\"] \n  28 -> 29 [size =\"36614144\"]\n  28 -> 30 [size =\"36614144\"]\n  29 [size=\"75690667\", alpha=\"0.10\", expect_size=\"22707200\"] \n  29 -> 31 [size =\"22707200\"]\n  29 -> 32 [size =\"22707200\"]\n  30 [size=\"127378773\", alpha=\"0.06\", expect_size=\"38213632\"] \n  31 [size=\"142452053\", alpha=\"0.14\", expect_size=\"42735616\"] \n  31 -> 33 [size =\"42735616\"]\n  31 -> 35 [size =\"42735616\"]\n  31 -> 36 [size =\"42735616\"]\n  32 [size=\"71150933\", alpha=\"0.12\", expect_size=\"21345280\"] \n  32 -> 34 [size =\"21345280\"]\n  33 [size=\"65365333\", alpha=\"0.03\", expect_size=\"19609600\"] \n  33 -> 37 [size =\"19609600\"]\n  33 -> 39 [size =\"19609600\"]\n  34 [size=\"101505707\", alpha=\"0.16\", expect_size=\"30451712\"] \n  35 [size=\"133997227\", alpha=\"0.18\", expect_size=\"40199168\"] \n  35 -> 38 [size =\"40199168\"]\n  35 -> 40 [size =\"40199168\"]\n  36 [size=\"120736427\", alpha=\"0.13\", expect_size=\"36220928\"] \n  36 -> 37 [size =\"36220928\"]\n  36 -> 38 [size =\"36220928\"]\n  36 -> 40 [size =\"36220928\"]\n  37 [size=\"93692587\", alpha=\"0.10\", expect_size=\"28107776\"] \n  38 [size=\"84370773\", alpha=\"0.12\", expect_size=\"25311232\"] \n  38 -> 41 [size =\"25311232\"]\n  39 [size=\"32170667\", alpha=\"0.10\", expect_size=\"9651200\"] \n  39 -> 41 [size =\"9651200\"]\n  40 [size=\"107106987\", alpha=\"0.13\", expect_size=\"32132096\"] \n  41 [size=\"153234773\", alpha=\"0.19\", expect_size=\"45970432\"] \n  41 -> 42 [size =\"45970432\"]\n  41 -> 43 [size =\"45970432\"]\n  42 [size=\"103830187\", alpha=\"0.17\", expect_size=\"31149056\"] \n  42 -> 44 [size =\"31149056\"]\n  43 [size=\"39437653\", alpha=\"0.10\", expect_size=\"11831296\"] \n  43 -> 45 [size =\"11831296\"]\n  44 [size=\"61829120\", alpha=\"0.06\", expect_size=\"18548736\"] \n  45 [size=\"30303573\", alpha=\"0.17\", expect_size=\"9091072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110164480\", alpha=\"0.08\", expect_size=\"44065792\"] \n  1 -> 4 [size =\"44065792\"]\n  2 [size=\"31976960\", alpha=\"0.07\", expect_size=\"12790784\"] \n  2 -> 4 [size =\"12790784\"]\n  2 -> 6 [size =\"12790784\"]\n  3 [size=\"91494400\", alpha=\"0.20\", expect_size=\"36597760\"] \n  3 -> 5 [size =\"36597760\"]\n  3 -> 6 [size =\"36597760\"]\n  4 [size=\"35217920\", alpha=\"0.19\", expect_size=\"14087168\"] \n  5 [size=\"15226880\", alpha=\"0.12\", expect_size=\"6090752\"] \n  5 -> 7 [size =\"6090752\"]\n  5 -> 8 [size =\"6090752\"]\n  6 [size=\"76346880\", alpha=\"0.18\", expect_size=\"30538752\"] \n  6 -> 9 [size =\"30538752\"]\n  7 [size=\"69911040\", alpha=\"0.09\", expect_size=\"27964416\"] \n  8 [size=\"128919040\", alpha=\"0.10\", expect_size=\"51567616\"] \n  8 -> 10 [size =\"51567616\"]\n  9 [size=\"65495040\", alpha=\"0.06\", expect_size=\"26198016\"] \n  9 -> 10 [size =\"26198016\"]\n  9 -> 11 [size =\"26198016\"]\n  10 [size=\"78924800\", alpha=\"0.13\", expect_size=\"31569920\"] \n  11 [size=\"103403520\", alpha=\"0.11\", expect_size=\"41361408\"] \n  11 -> 12 [size =\"41361408\"]\n  11 -> 13 [size =\"41361408\"]\n  12 [size=\"35304960\", alpha=\"0.00\", expect_size=\"14121984\"] \n  12 -> 15 [size =\"14121984\"]\n  12 -> 16 [size =\"14121984\"]\n  13 [size=\"74762240\", alpha=\"0.17\", expect_size=\"29904896\"] \n  13 -> 14 [size =\"29904896\"]\n  13 -> 15 [size =\"29904896\"]\n  14 [size=\"74416640\", alpha=\"0.15\", expect_size=\"29766656\"] \n  14 -> 18 [size =\"29766656\"]\n  15 [size=\"71175680\", alpha=\"0.11\", expect_size=\"28470272\"] \n  16 [size=\"26037760\", alpha=\"0.09\", expect_size=\"10415104\"] \n  16 -> 17 [size =\"10415104\"]\n  17 [size=\"129392640\", alpha=\"0.15\", expect_size=\"51757056\"] \n  17 -> 19 [size =\"51757056\"]\n  17 -> 20 [size =\"51757056\"]\n  17 -> 21 [size =\"51757056\"]\n  18 [size=\"63462400\", alpha=\"0.13\", expect_size=\"25384960\"] \n  19 [size=\"122416640\", alpha=\"0.06\", expect_size=\"48966656\"] \n  19 -> 23 [size =\"48966656\"]\n  19 -> 24 [size =\"48966656\"]\n  20 [size=\"37319680\", alpha=\"0.05\", expect_size=\"14927872\"] \n  21 [size=\"114570240\", alpha=\"0.00\", expect_size=\"45828096\"] \n  21 -> 22 [size =\"45828096\"]\n  21 -> 24 [size =\"45828096\"]\n  22 [size=\"60753920\", alpha=\"0.19\", expect_size=\"24301568\"] \n  22 -> 25 [size =\"24301568\"]\n  22 -> 26 [size =\"24301568\"]\n  23 [size=\"61278720\", alpha=\"0.10\", expect_size=\"24511488\"] \n  24 [size=\"45667840\", alpha=\"0.06\", expect_size=\"18267136\"] \n  24 -> 26 [size =\"18267136\"]\n  24 -> 27 [size =\"18267136\"]\n  25 [size=\"15521280\", alpha=\"0.01\", expect_size=\"6208512\"] \n  25 -> 28 [size =\"6208512\"]\n  25 -> 29 [size =\"6208512\"]\n  26 [size=\"80186880\", alpha=\"0.08\", expect_size=\"32074752\"] \n  26 -> 29 [size =\"32074752\"]\n  27 [size=\"13831680\", alpha=\"0.04\", expect_size=\"5532672\"] \n  28 [size=\"99806720\", alpha=\"0.20\", expect_size=\"39922688\"] \n  28 -> 31 [size =\"39922688\"]\n  29 [size=\"55836160\", alpha=\"0.04\", expect_size=\"22334464\"] \n  29 -> 30 [size =\"22334464\"]\n  30 [size=\"92643840\", alpha=\"0.00\", expect_size=\"37057536\"] \n  30 -> 33 [size =\"37057536\"]\n  31 [size=\"121945600\", alpha=\"0.11\", expect_size=\"48778240\"] \n  31 -> 32 [size =\"48778240\"]\n  31 -> 34 [size =\"48778240\"]\n  32 [size=\"122836480\", alpha=\"0.06\", expect_size=\"49134592\"] \n  33 [size=\"114186240\", alpha=\"0.12\", expect_size=\"45674496\"] \n  33 -> 35 [size =\"45674496\"]\n  33 -> 36 [size =\"45674496\"]\n  34 [size=\"56422400\", alpha=\"0.07\", expect_size=\"22568960\"] \n  34 -> 36 [size =\"22568960\"]\n  34 -> 37 [size =\"22568960\"]\n  35 [size=\"89615360\", alpha=\"0.13\", expect_size=\"35846144\"] \n  35 -> 38 [size =\"35846144\"]\n  35 -> 39 [size =\"35846144\"]\n  36 [size=\"97927680\", alpha=\"0.01\", expect_size=\"39171072\"] \n  36 -> 38 [size =\"39171072\"]\n  37 [size=\"26631680\", alpha=\"0.08\", expect_size=\"10652672\"] \n  37 -> 39 [size =\"10652672\"]\n  38 [size=\"50496000\", alpha=\"0.04\", expect_size=\"20198400\"] \n  38 -> 40 [size =\"20198400\"]\n  38 -> 41 [size =\"20198400\"]\n  39 [size=\"49405440\", alpha=\"0.19\", expect_size=\"19762176\"] \n  39 -> 40 [size =\"19762176\"]\n  40 [size=\"75747840\", alpha=\"0.17\", expect_size=\"30299136\"] \n  40 -> 42 [size =\"30299136\"]\n  40 -> 43 [size =\"30299136\"]\n  41 [size=\"77378560\", alpha=\"0.13\", expect_size=\"30951424\"] \n  41 -> 42 [size =\"30951424\"]\n  42 [size=\"26631680\", alpha=\"0.17\", expect_size=\"10652672\"] \n  42 -> 45 [size =\"10652672\"]\n  43 [size=\"63664640\", alpha=\"0.09\", expect_size=\"25465856\"] \n  43 -> 44 [size =\"25465856\"]\n  43 -> 45 [size =\"25465856\"]\n  44 [size=\"14210560\", alpha=\"0.07\", expect_size=\"5684224\"] \n  45 [size=\"57541120\", alpha=\"0.05\", expect_size=\"23016448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45711360\", alpha=\"0.06\", expect_size=\"18284544\"] \n  1 -> 6 [size =\"18284544\"]\n  2 [size=\"82531840\", alpha=\"0.12\", expect_size=\"33012736\"] \n  2 -> 8 [size =\"33012736\"]\n  2 -> 9 [size =\"33012736\"]\n  2 -> 10 [size =\"33012736\"]\n  2 -> 11 [size =\"33012736\"]\n  3 [size=\"33162240\", alpha=\"0.15\", expect_size=\"13264896\"] \n  3 -> 8 [size =\"13264896\"]\n  4 [size=\"96601600\", alpha=\"0.11\", expect_size=\"38640640\"] \n  4 -> 8 [size =\"38640640\"]\n  4 -> 11 [size =\"38640640\"]\n  5 [size=\"44520960\", alpha=\"0.11\", expect_size=\"17808384\"] \n  5 -> 6 [size =\"17808384\"]\n  5 -> 7 [size =\"17808384\"]\n  5 -> 9 [size =\"17808384\"]\n  5 -> 10 [size =\"17808384\"]\n  6 [size=\"86323200\", alpha=\"0.08\", expect_size=\"34529280\"] \n  6 -> 13 [size =\"34529280\"]\n  6 -> 15 [size =\"34529280\"]\n  6 -> 16 [size =\"34529280\"]\n  6 -> 17 [size =\"34529280\"]\n  7 [size=\"21864960\", alpha=\"0.02\", expect_size=\"8745984\"] \n  7 -> 15 [size =\"8745984\"]\n  7 -> 17 [size =\"8745984\"]\n  8 [size=\"41937920\", alpha=\"0.01\", expect_size=\"16775168\"] \n  8 -> 13 [size =\"16775168\"]\n  8 -> 17 [size =\"16775168\"]\n  9 [size=\"115274240\", alpha=\"0.04\", expect_size=\"46109696\"] \n  9 -> 13 [size =\"46109696\"]\n  10 [size=\"42739200\", alpha=\"0.07\", expect_size=\"17095680\"] \n  10 -> 12 [size =\"17095680\"]\n  10 -> 15 [size =\"17095680\"]\n  10 -> 16 [size =\"17095680\"]\n  11 [size=\"114570240\", alpha=\"0.19\", expect_size=\"45828096\"] \n  11 -> 14 [size =\"45828096\"]\n  11 -> 16 [size =\"45828096\"]\n  12 [size=\"30062080\", alpha=\"0.06\", expect_size=\"12024832\"] \n  12 -> 18 [size =\"12024832\"]\n  12 -> 21 [size =\"12024832\"]\n  12 -> 22 [size =\"12024832\"]\n  12 -> 23 [size =\"12024832\"]\n  13 [size=\"100167680\", alpha=\"0.11\", expect_size=\"40067072\"] \n  13 -> 18 [size =\"40067072\"]\n  14 [size=\"68684800\", alpha=\"0.05\", expect_size=\"27473920\"] \n  14 -> 20 [size =\"27473920\"]\n  14 -> 21 [size =\"27473920\"]\n  14 -> 22 [size =\"27473920\"]\n  15 [size=\"17297920\", alpha=\"0.03\", expect_size=\"6919168\"] \n  15 -> 20 [size =\"6919168\"]\n  15 -> 22 [size =\"6919168\"]\n  16 [size=\"84966400\", alpha=\"0.09\", expect_size=\"33986560\"] \n  16 -> 18 [size =\"33986560\"]\n  16 -> 20 [size =\"33986560\"]\n  17 [size=\"15795200\", alpha=\"0.01\", expect_size=\"6318080\"] \n  17 -> 18 [size =\"6318080\"]\n  17 -> 19 [size =\"6318080\"]\n  17 -> 20 [size =\"6318080\"]\n  17 -> 23 [size =\"6318080\"]\n  18 [size=\"27299840\", alpha=\"0.15\", expect_size=\"10919936\"] \n  18 -> 27 [size =\"10919936\"]\n  19 [size=\"35435520\", alpha=\"0.04\", expect_size=\"14174208\"] \n  19 -> 25 [size =\"14174208\"]\n  20 [size=\"58618880\", alpha=\"0.15\", expect_size=\"23447552\"] \n  20 -> 24 [size =\"23447552\"]\n  20 -> 27 [size =\"23447552\"]\n  21 [size=\"100213760\", alpha=\"0.12\", expect_size=\"40085504\"] \n  21 -> 24 [size =\"40085504\"]\n  21 -> 26 [size =\"40085504\"]\n  21 -> 28 [size =\"40085504\"]\n  22 [size=\"92147200\", alpha=\"0.00\", expect_size=\"36858880\"] \n  22 -> 28 [size =\"36858880\"]\n  23 [size=\"129410560\", alpha=\"0.12\", expect_size=\"51764224\"] \n  24 [size=\"77237760\", alpha=\"0.18\", expect_size=\"30895104\"] \n  24 -> 29 [size =\"30895104\"]\n  24 -> 30 [size =\"30895104\"]\n  25 [size=\"109470720\", alpha=\"0.10\", expect_size=\"43788288\"] \n  25 -> 32 [size =\"43788288\"]\n  25 -> 33 [size =\"43788288\"]\n  26 [size=\"126343680\", alpha=\"0.13\", expect_size=\"50537472\"] \n  26 -> 29 [size =\"50537472\"]\n  26 -> 33 [size =\"50537472\"]\n  27 [size=\"63705600\", alpha=\"0.19\", expect_size=\"25482240\"] \n  27 -> 29 [size =\"25482240\"]\n  27 -> 31 [size =\"25482240\"]\n  27 -> 33 [size =\"25482240\"]\n  28 [size=\"67904000\", alpha=\"0.09\", expect_size=\"27161600\"] \n  28 -> 29 [size =\"27161600\"]\n  28 -> 30 [size =\"27161600\"]\n  28 -> 33 [size =\"27161600\"]\n  29 [size=\"37982720\", alpha=\"0.16\", expect_size=\"15193088\"] \n  29 -> 35 [size =\"15193088\"]\n  29 -> 37 [size =\"15193088\"]\n  29 -> 38 [size =\"15193088\"]\n  30 [size=\"59607040\", alpha=\"0.09\", expect_size=\"23842816\"] \n  30 -> 35 [size =\"23842816\"]\n  30 -> 37 [size =\"23842816\"]\n  31 [size=\"29468160\", alpha=\"0.19\", expect_size=\"11787264\"] \n  31 -> 36 [size =\"11787264\"]\n  31 -> 37 [size =\"11787264\"]\n  32 [size=\"98137600\", alpha=\"0.11\", expect_size=\"39255040\"] \n  32 -> 34 [size =\"39255040\"]\n  32 -> 36 [size =\"39255040\"]\n  32 -> 38 [size =\"39255040\"]\n  33 [size=\"99112960\", alpha=\"0.19\", expect_size=\"39645184\"] \n  33 -> 35 [size =\"39645184\"]\n  33 -> 37 [size =\"39645184\"]\n  33 -> 38 [size =\"39645184\"]\n  34 [size=\"52449280\", alpha=\"0.15\", expect_size=\"20979712\"] \n  34 -> 40 [size =\"20979712\"]\n  34 -> 43 [size =\"20979712\"]\n  35 [size=\"41643520\", alpha=\"0.13\", expect_size=\"16657408\"] \n  35 -> 43 [size =\"16657408\"]\n  36 [size=\"98109440\", alpha=\"0.03\", expect_size=\"39243776\"] \n  36 -> 42 [size =\"39243776\"]\n  37 [size=\"59133440\", alpha=\"0.13\", expect_size=\"23653376\"] \n  37 -> 39 [size =\"23653376\"]\n  37 -> 41 [size =\"23653376\"]\n  37 -> 42 [size =\"23653376\"]\n  37 -> 43 [size =\"23653376\"]\n  38 [size=\"51440640\", alpha=\"0.05\", expect_size=\"20576256\"] \n  38 -> 39 [size =\"20576256\"]\n  38 -> 40 [size =\"20576256\"]\n  38 -> 42 [size =\"20576256\"]\n  39 [size=\"103859200\", alpha=\"0.02\", expect_size=\"41543680\"] \n  40 [size=\"82634240\", alpha=\"0.06\", expect_size=\"33053696\"] \n  40 -> 45 [size =\"33053696\"]\n  41 [size=\"17392640\", alpha=\"0.05\", expect_size=\"6957056\"] \n  41 -> 44 [size =\"6957056\"]\n  41 -> 45 [size =\"6957056\"]\n  42 [size=\"127567360\", alpha=\"0.17\", expect_size=\"51026944\"] \n  42 -> 44 [size =\"51026944\"]\n  43 [size=\"76216320\", alpha=\"0.09\", expect_size=\"30486528\"] \n  43 -> 44 [size =\"30486528\"]\n  43 -> 45 [size =\"30486528\"]\n  44 [size=\"68369920\", alpha=\"0.12\", expect_size=\"27347968\"] \n  45 [size=\"41638400\", alpha=\"0.11\", expect_size=\"16655360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77516800\", alpha=\"0.08\", expect_size=\"31006720\"] \n  1 -> 3 [size =\"31006720\"]\n  1 -> 4 [size =\"31006720\"]\n  2 [size=\"46584320\", alpha=\"0.02\", expect_size=\"18633728\"] \n  2 -> 3 [size =\"18633728\"]\n  2 -> 4 [size =\"18633728\"]\n  3 [size=\"106867200\", alpha=\"0.09\", expect_size=\"42746880\"] \n  3 -> 5 [size =\"42746880\"]\n  3 -> 7 [size =\"42746880\"]\n  4 [size=\"44257280\", alpha=\"0.20\", expect_size=\"17702912\"] \n  4 -> 5 [size =\"17702912\"]\n  4 -> 6 [size =\"17702912\"]\n  4 -> 7 [size =\"17702912\"]\n  5 [size=\"87129600\", alpha=\"0.14\", expect_size=\"34851840\"] \n  5 -> 9 [size =\"34851840\"]\n  6 [size=\"130695680\", alpha=\"0.01\", expect_size=\"52278272\"] \n  6 -> 9 [size =\"52278272\"]\n  7 [size=\"53980160\", alpha=\"0.15\", expect_size=\"21592064\"] \n  7 -> 8 [size =\"21592064\"]\n  7 -> 9 [size =\"21592064\"]\n  8 [size=\"107020800\", alpha=\"0.07\", expect_size=\"42808320\"] \n  8 -> 10 [size =\"42808320\"]\n  8 -> 11 [size =\"42808320\"]\n  8 -> 12 [size =\"42808320\"]\n  9 [size=\"35724800\", alpha=\"0.19\", expect_size=\"14289920\"] \n  9 -> 11 [size =\"14289920\"]\n  9 -> 12 [size =\"14289920\"]\n  10 [size=\"46860800\", alpha=\"0.14\", expect_size=\"18744320\"] \n  10 -> 13 [size =\"18744320\"]\n  10 -> 14 [size =\"18744320\"]\n  11 [size=\"58672640\", alpha=\"0.19\", expect_size=\"23469056\"] \n  11 -> 13 [size =\"23469056\"]\n  11 -> 14 [size =\"23469056\"]\n  12 [size=\"103677440\", alpha=\"0.05\", expect_size=\"41470976\"] \n  12 -> 13 [size =\"41470976\"]\n  12 -> 14 [size =\"41470976\"]\n  13 [size=\"114004480\", alpha=\"0.02\", expect_size=\"45601792\"] \n  13 -> 15 [size =\"45601792\"]\n  13 -> 16 [size =\"45601792\"]\n  14 [size=\"51944960\", alpha=\"0.16\", expect_size=\"20777984\"] \n  14 -> 15 [size =\"20777984\"]\n  14 -> 16 [size =\"20777984\"]\n  15 [size=\"50321920\", alpha=\"0.17\", expect_size=\"20128768\"] \n  15 -> 17 [size =\"20128768\"]\n  15 -> 19 [size =\"20128768\"]\n  16 [size=\"16632320\", alpha=\"0.18\", expect_size=\"6652928\"] \n  16 -> 18 [size =\"6652928\"]\n  17 [size=\"21642240\", alpha=\"0.13\", expect_size=\"8656896\"] \n  17 -> 20 [size =\"8656896\"]\n  17 -> 22 [size =\"8656896\"]\n  18 [size=\"111761920\", alpha=\"0.11\", expect_size=\"44704768\"] \n  18 -> 20 [size =\"44704768\"]\n  18 -> 21 [size =\"44704768\"]\n  19 [size=\"37824000\", alpha=\"0.18\", expect_size=\"15129600\"] \n  19 -> 20 [size =\"15129600\"]\n  19 -> 22 [size =\"15129600\"]\n  20 [size=\"32273920\", alpha=\"0.18\", expect_size=\"12909568\"] \n  20 -> 23 [size =\"12909568\"]\n  20 -> 24 [size =\"12909568\"]\n  21 [size=\"116889600\", alpha=\"0.08\", expect_size=\"46755840\"] \n  21 -> 23 [size =\"46755840\"]\n  21 -> 24 [size =\"46755840\"]\n  22 [size=\"108600320\", alpha=\"0.05\", expect_size=\"43440128\"] \n  22 -> 23 [size =\"43440128\"]\n  22 -> 24 [size =\"43440128\"]\n  23 [size=\"20098560\", alpha=\"0.17\", expect_size=\"8039424\"] \n  23 -> 25 [size =\"8039424\"]\n  23 -> 26 [size =\"8039424\"]\n  24 [size=\"30489600\", alpha=\"0.14\", expect_size=\"12195840\"] \n  24 -> 25 [size =\"12195840\"]\n  24 -> 26 [size =\"12195840\"]\n  25 [size=\"127198720\", alpha=\"0.04\", expect_size=\"50879488\"] \n  25 -> 27 [size =\"50879488\"]\n  25 -> 28 [size =\"50879488\"]\n  25 -> 29 [size =\"50879488\"]\n  26 [size=\"109603840\", alpha=\"0.14\", expect_size=\"43841536\"] \n  26 -> 28 [size =\"43841536\"]\n  26 -> 29 [size =\"43841536\"]\n  27 [size=\"95413760\", alpha=\"0.11\", expect_size=\"38165504\"] \n  27 -> 31 [size =\"38165504\"]\n  28 [size=\"55004160\", alpha=\"0.04\", expect_size=\"22001664\"] \n  28 -> 30 [size =\"22001664\"]\n  28 -> 31 [size =\"22001664\"]\n  29 [size=\"118307840\", alpha=\"0.00\", expect_size=\"47323136\"] \n  29 -> 30 [size =\"47323136\"]\n  29 -> 31 [size =\"47323136\"]\n  30 [size=\"107461120\", alpha=\"0.02\", expect_size=\"42984448\"] \n  30 -> 32 [size =\"42984448\"]\n  30 -> 33 [size =\"42984448\"]\n  31 [size=\"94479360\", alpha=\"0.13\", expect_size=\"37791744\"] \n  31 -> 32 [size =\"37791744\"]\n  31 -> 33 [size =\"37791744\"]\n  32 [size=\"25812480\", alpha=\"0.18\", expect_size=\"10324992\"] \n  32 -> 34 [size =\"10324992\"]\n  32 -> 35 [size =\"10324992\"]\n  32 -> 36 [size =\"10324992\"]\n  33 [size=\"52902400\", alpha=\"0.00\", expect_size=\"21160960\"] \n  33 -> 34 [size =\"21160960\"]\n  33 -> 35 [size =\"21160960\"]\n  34 [size=\"33582080\", alpha=\"0.09\", expect_size=\"13432832\"] \n  34 -> 37 [size =\"13432832\"]\n  34 -> 38 [size =\"13432832\"]\n  35 [size=\"116966400\", alpha=\"0.05\", expect_size=\"46786560\"] \n  35 -> 37 [size =\"46786560\"]\n  35 -> 38 [size =\"46786560\"]\n  36 [size=\"23185920\", alpha=\"0.01\", expect_size=\"9274368\"] \n  36 -> 38 [size =\"9274368\"]\n  37 [size=\"105761280\", alpha=\"0.18\", expect_size=\"42304512\"] \n  37 -> 39 [size =\"42304512\"]\n  37 -> 40 [size =\"42304512\"]\n  37 -> 41 [size =\"42304512\"]\n  38 [size=\"51668480\", alpha=\"0.12\", expect_size=\"20667392\"] \n  38 -> 39 [size =\"20667392\"]\n  38 -> 41 [size =\"20667392\"]\n  39 [size=\"72791040\", alpha=\"0.11\", expect_size=\"29116416\"] \n  39 -> 42 [size =\"29116416\"]\n  40 [size=\"73784320\", alpha=\"0.12\", expect_size=\"29513728\"] \n  40 -> 42 [size =\"29513728\"]\n  40 -> 44 [size =\"29513728\"]\n  41 [size=\"88399360\", alpha=\"0.12\", expect_size=\"35359744\"] \n  41 -> 42 [size =\"35359744\"]\n  41 -> 43 [size =\"35359744\"]\n  42 [size=\"44241920\", alpha=\"0.07\", expect_size=\"17696768\"] \n  42 -> 45 [size =\"17696768\"]\n  43 [size=\"31882240\", alpha=\"0.04\", expect_size=\"12752896\"] \n  43 -> 45 [size =\"12752896\"]\n  44 [size=\"34252800\", alpha=\"0.03\", expect_size=\"13701120\"] \n  44 -> 45 [size =\"13701120\"]\n  45 [size=\"90193920\", alpha=\"0.02\", expect_size=\"36077568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104634368\", alpha=\"0.17\", expect_size=\"52317184\"] \n  1 -> 3 [size =\"52317184\"]\n  1 -> 4 [size =\"52317184\"]\n  2 [size=\"10852352\", alpha=\"0.12\", expect_size=\"5426176\"] \n  3 [size=\"63719424\", alpha=\"0.06\", expect_size=\"31859712\"] \n  3 -> 5 [size =\"31859712\"]\n  3 -> 6 [size =\"31859712\"]\n  4 [size=\"46960640\", alpha=\"0.08\", expect_size=\"23480320\"] \n  4 -> 5 [size =\"23480320\"]\n  4 -> 6 [size =\"23480320\"]\n  5 [size=\"33599488\", alpha=\"0.10\", expect_size=\"16799744\"] \n  5 -> 7 [size =\"16799744\"]\n  6 [size=\"65638400\", alpha=\"0.08\", expect_size=\"32819200\"] \n  6 -> 7 [size =\"32819200\"]\n  6 -> 8 [size =\"32819200\"]\n  7 [size=\"44593152\", alpha=\"0.05\", expect_size=\"22296576\"] \n  7 -> 9 [size =\"22296576\"]\n  8 [size=\"29603840\", alpha=\"0.17\", expect_size=\"14801920\"] \n  8 -> 9 [size =\"14801920\"]\n  8 -> 10 [size =\"14801920\"]\n  8 -> 11 [size =\"14801920\"]\n  9 [size=\"24264704\", alpha=\"0.09\", expect_size=\"12132352\"] \n  9 -> 12 [size =\"12132352\"]\n  9 -> 13 [size =\"12132352\"]\n  9 -> 14 [size =\"12132352\"]\n  10 [size=\"31365120\", alpha=\"0.19\", expect_size=\"15682560\"] \n  11 [size=\"13187072\", alpha=\"0.16\", expect_size=\"6593536\"] \n  11 -> 14 [size =\"6593536\"]\n  12 [size=\"95684608\", alpha=\"0.00\", expect_size=\"47842304\"] \n  13 [size=\"56254464\", alpha=\"0.16\", expect_size=\"28127232\"] \n  13 -> 15 [size =\"28127232\"]\n  13 -> 16 [size =\"28127232\"]\n  14 [size=\"82776064\", alpha=\"0.05\", expect_size=\"41388032\"] \n  14 -> 16 [size =\"41388032\"]\n  15 [size=\"24860672\", alpha=\"0.16\", expect_size=\"12430336\"] \n  15 -> 17 [size =\"12430336\"]\n  15 -> 19 [size =\"12430336\"]\n  16 [size=\"73551872\", alpha=\"0.07\", expect_size=\"36775936\"] \n  16 -> 17 [size =\"36775936\"]\n  16 -> 18 [size =\"36775936\"]\n  16 -> 19 [size =\"36775936\"]\n  17 [size=\"15667200\", alpha=\"0.20\", expect_size=\"7833600\"] \n  17 -> 20 [size =\"7833600\"]\n  17 -> 21 [size =\"7833600\"]\n  18 [size=\"37464064\", alpha=\"0.05\", expect_size=\"18732032\"] \n  18 -> 22 [size =\"18732032\"]\n  19 [size=\"24023040\", alpha=\"0.04\", expect_size=\"12011520\"] \n  19 -> 20 [size =\"12011520\"]\n  20 [size=\"67469312\", alpha=\"0.14\", expect_size=\"33734656\"] \n  21 [size=\"62019584\", alpha=\"0.04\", expect_size=\"31009792\"] \n  21 -> 23 [size =\"31009792\"]\n  21 -> 24 [size =\"31009792\"]\n  22 [size=\"45160448\", alpha=\"0.14\", expect_size=\"22580224\"] \n  22 -> 23 [size =\"22580224\"]\n  22 -> 24 [size =\"22580224\"]\n  22 -> 25 [size =\"22580224\"]\n  23 [size=\"47212544\", alpha=\"0.15\", expect_size=\"23606272\"] \n  23 -> 28 [size =\"23606272\"]\n  24 [size=\"27207680\", alpha=\"0.04\", expect_size=\"13603840\"] \n  24 -> 26 [size =\"13603840\"]\n  24 -> 27 [size =\"13603840\"]\n  25 [size=\"51019776\", alpha=\"0.17\", expect_size=\"25509888\"] \n  26 [size=\"32108544\", alpha=\"0.03\", expect_size=\"16054272\"] \n  26 -> 29 [size =\"16054272\"]\n  26 -> 30 [size =\"16054272\"]\n  27 [size=\"66078720\", alpha=\"0.15\", expect_size=\"33039360\"] \n  28 [size=\"65740800\", alpha=\"0.12\", expect_size=\"32870400\"] \n  28 -> 29 [size =\"32870400\"]\n  28 -> 30 [size =\"32870400\"]\n  28 -> 31 [size =\"32870400\"]\n  29 [size=\"90034176\", alpha=\"0.12\", expect_size=\"45017088\"] \n  29 -> 32 [size =\"45017088\"]\n  30 [size=\"16766976\", alpha=\"0.16\", expect_size=\"8383488\"] \n  30 -> 32 [size =\"8383488\"]\n  31 [size=\"83988480\", alpha=\"0.00\", expect_size=\"41994240\"] \n  31 -> 33 [size =\"41994240\"]\n  31 -> 34 [size =\"41994240\"]\n  32 [size=\"102731776\", alpha=\"0.03\", expect_size=\"51365888\"] \n  32 -> 35 [size =\"51365888\"]\n  32 -> 36 [size =\"51365888\"]\n  32 -> 37 [size =\"51365888\"]\n  33 [size=\"73365504\", alpha=\"0.15\", expect_size=\"36682752\"] \n  34 [size=\"49127424\", alpha=\"0.03\", expect_size=\"24563712\"] \n  34 -> 35 [size =\"24563712\"]\n  34 -> 36 [size =\"24563712\"]\n  35 [size=\"66490368\", alpha=\"0.14\", expect_size=\"33245184\"] \n  35 -> 38 [size =\"33245184\"]\n  36 [size=\"54198272\", alpha=\"0.18\", expect_size=\"27099136\"] \n  36 -> 39 [size =\"27099136\"]\n  37 [size=\"67401728\", alpha=\"0.03\", expect_size=\"33700864\"] \n  37 -> 39 [size =\"33700864\"]\n  38 [size=\"45840384\", alpha=\"0.14\", expect_size=\"22920192\"] \n  38 -> 40 [size =\"22920192\"]\n  39 [size=\"103004160\", alpha=\"0.08\", expect_size=\"51502080\"] \n  39 -> 41 [size =\"51502080\"]\n  39 -> 42 [size =\"51502080\"]\n  40 [size=\"63928320\", alpha=\"0.14\", expect_size=\"31964160\"] \n  41 [size=\"43870208\", alpha=\"0.10\", expect_size=\"21935104\"] \n  41 -> 43 [size =\"21935104\"]\n  41 -> 44 [size =\"21935104\"]\n  42 [size=\"45527040\", alpha=\"0.14\", expect_size=\"22763520\"] \n  42 -> 43 [size =\"22763520\"]\n  43 [size=\"59727872\", alpha=\"0.06\", expect_size=\"29863936\"] \n  43 -> 45 [size =\"29863936\"]\n  44 [size=\"37871616\", alpha=\"0.02\", expect_size=\"18935808\"] \n  45 [size=\"52250624\", alpha=\"0.06\", expect_size=\"26125312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86787413\", alpha=\"0.05\", expect_size=\"26036224\"] \n  2 [size=\"129751040\", alpha=\"0.09\", expect_size=\"38925312\"] \n  2 -> 31 [size =\"38925312\"]\n  2 -> 41 [size =\"38925312\"]\n  2 -> 44 [size =\"38925312\"]\n  3 [size=\"87702187\", alpha=\"0.03\", expect_size=\"26310656\"] \n  3 -> 31 [size =\"26310656\"]\n  3 -> 39 [size =\"26310656\"]\n  4 [size=\"137113600\", alpha=\"0.04\", expect_size=\"41134080\"] \n  4 -> 43 [size =\"41134080\"]\n  5 [size=\"104103253\", alpha=\"0.07\", expect_size=\"31230976\"] \n  5 -> 30 [size =\"31230976\"]\n  5 -> 31 [size =\"31230976\"]\n  5 -> 32 [size =\"31230976\"]\n  5 -> 36 [size =\"31230976\"]\n  5 -> 39 [size =\"31230976\"]\n  5 -> 40 [size =\"31230976\"]\n  6 [size=\"147544747\", alpha=\"0.04\", expect_size=\"44263424\"] \n  6 -> 32 [size =\"44263424\"]\n  6 -> 36 [size =\"44263424\"]\n  6 -> 37 [size =\"44263424\"]\n  7 [size=\"18807467\", alpha=\"0.02\", expect_size=\"5642240\"] \n  7 -> 31 [size =\"5642240\"]\n  7 -> 35 [size =\"5642240\"]\n  7 -> 36 [size =\"5642240\"]\n  7 -> 40 [size =\"5642240\"]\n  7 -> 41 [size =\"5642240\"]\n  8 [size=\"145227093\", alpha=\"0.04\", expect_size=\"43568128\"] \n  8 -> 29 [size =\"43568128\"]\n  8 -> 30 [size =\"43568128\"]\n  8 -> 34 [size =\"43568128\"]\n  8 -> 37 [size =\"43568128\"]\n  9 [size=\"46783147\", alpha=\"0.13\", expect_size=\"14034944\"] \n  9 -> 34 [size =\"14034944\"]\n  9 -> 44 [size =\"14034944\"]\n  10 [size=\"174336000\", alpha=\"0.19\", expect_size=\"52300800\"] \n  10 -> 36 [size =\"52300800\"]\n  10 -> 41 [size =\"52300800\"]\n  11 [size=\"166932480\", alpha=\"0.12\", expect_size=\"50079744\"] \n  11 -> 30 [size =\"50079744\"]\n  11 -> 31 [size =\"50079744\"]\n  11 -> 40 [size =\"50079744\"]\n  12 [size=\"46650027\", alpha=\"0.07\", expect_size=\"13995008\"] \n  12 -> 35 [size =\"13995008\"]\n  12 -> 36 [size =\"13995008\"]\n  12 -> 37 [size =\"13995008\"]\n  13 [size=\"114322773\", alpha=\"0.03\", expect_size=\"34296832\"] \n  13 -> 30 [size =\"34296832\"]\n  13 -> 33 [size =\"34296832\"]\n  13 -> 36 [size =\"34296832\"]\n  13 -> 37 [size =\"34296832\"]\n  13 -> 40 [size =\"34296832\"]\n  14 [size=\"136434347\", alpha=\"0.13\", expect_size=\"40930304\"] \n  14 -> 30 [size =\"40930304\"]\n  14 -> 36 [size =\"40930304\"]\n  14 -> 37 [size =\"40930304\"]\n  15 [size=\"167956480\", alpha=\"0.02\", expect_size=\"50386944\"] \n  15 -> 29 [size =\"50386944\"]\n  15 -> 30 [size =\"50386944\"]\n  16 [size=\"63822507\", alpha=\"0.19\", expect_size=\"19146752\"] \n  16 -> 29 [size =\"19146752\"]\n  16 -> 37 [size =\"19146752\"]\n  16 -> 38 [size =\"19146752\"]\n  16 -> 39 [size =\"19146752\"]\n  16 -> 44 [size =\"19146752\"]\n  17 [size=\"94361600\", alpha=\"0.11\", expect_size=\"28308480\"] \n  17 -> 29 [size =\"28308480\"]\n  17 -> 36 [size =\"28308480\"]\n  17 -> 41 [size =\"28308480\"]\n  17 -> 42 [size =\"28308480\"]\n  17 -> 43 [size =\"28308480\"]\n  18 [size=\"109400747\", alpha=\"0.02\", expect_size=\"32820224\"] \n  18 -> 31 [size =\"32820224\"]\n  18 -> 37 [size =\"32820224\"]\n  19 [size=\"142786560\", alpha=\"0.17\", expect_size=\"42835968\"] \n  20 [size=\"85224107\", alpha=\"0.16\", expect_size=\"25567232\"] \n  20 -> 29 [size =\"25567232\"]\n  20 -> 30 [size =\"25567232\"]\n  20 -> 31 [size =\"25567232\"]\n  20 -> 43 [size =\"25567232\"]\n  21 [size=\"74280960\", alpha=\"0.04\", expect_size=\"22284288\"] \n  21 -> 31 [size =\"22284288\"]\n  21 -> 37 [size =\"22284288\"]\n  21 -> 41 [size =\"22284288\"]\n  22 [size=\"165447680\", alpha=\"0.06\", expect_size=\"49634304\"] \n  22 -> 29 [size =\"49634304\"]\n  22 -> 31 [size =\"49634304\"]\n  22 -> 36 [size =\"49634304\"]\n  22 -> 39 [size =\"49634304\"]\n  23 [size=\"66802347\", alpha=\"0.17\", expect_size=\"20040704\"] \n  23 -> 31 [size =\"20040704\"]\n  23 -> 31 [size =\"20040704\"]\n  23 -> 36 [size =\"20040704\"]\n  23 -> 37 [size =\"20040704\"]\n  23 -> 45 [size =\"20040704\"]\n  24 [size=\"92074667\", alpha=\"0.03\", expect_size=\"27622400\"] \n  24 -> 29 [size =\"27622400\"]\n  24 -> 33 [size =\"27622400\"]\n  24 -> 37 [size =\"27622400\"]\n  24 -> 39 [size =\"27622400\"]\n  25 [size=\"38795947\", alpha=\"0.01\", expect_size=\"11638784\"] \n  25 -> 29 [size =\"11638784\"]\n  25 -> 37 [size =\"11638784\"]\n  25 -> 39 [size =\"11638784\"]\n  25 -> 40 [size =\"11638784\"]\n  26 [size=\"53616640\", alpha=\"0.15\", expect_size=\"16084992\"] \n  26 -> 29 [size =\"16084992\"]\n  26 -> 30 [size =\"16084992\"]\n  26 -> 31 [size =\"16084992\"]\n  26 -> 32 [size =\"16084992\"]\n  26 -> 35 [size =\"16084992\"]\n  26 -> 44 [size =\"16084992\"]\n  26 -> 45 [size =\"16084992\"]\n  27 [size=\"48568320\", alpha=\"0.09\", expect_size=\"14570496\"] \n  27 -> 32 [size =\"14570496\"]\n  27 -> 36 [size =\"14570496\"]\n  27 -> 37 [size =\"14570496\"]\n  27 -> 39 [size =\"14570496\"]\n  27 -> 40 [size =\"14570496\"]\n  28 [size=\"137871360\", alpha=\"0.19\", expect_size=\"41361408\"] \n  28 -> 31 [size =\"41361408\"]\n  28 -> 36 [size =\"41361408\"]\n  28 -> 39 [size =\"41361408\"]\n  29 [size=\"149852160\", alpha=\"0.13\", expect_size=\"44955648\"] \n  30 [size=\"124033707\", alpha=\"0.07\", expect_size=\"37210112\"] \n  31 [size=\"91248640\", alpha=\"0.00\", expect_size=\"27374592\"] \n  32 [size=\"120814933\", alpha=\"0.17\", expect_size=\"36244480\"] \n  33 [size=\"167714133\", alpha=\"0.06\", expect_size=\"50314240\"] \n  34 [size=\"144896000\", alpha=\"0.10\", expect_size=\"43468800\"] \n  35 [size=\"171994453\", alpha=\"0.13\", expect_size=\"51598336\"] \n  36 [size=\"21067093\", alpha=\"0.02\", expect_size=\"6320128\"] \n  37 [size=\"136755200\", alpha=\"0.01\", expect_size=\"41026560\"] \n  38 [size=\"48537600\", alpha=\"0.12\", expect_size=\"14561280\"] \n  39 [size=\"41448107\", alpha=\"0.19\", expect_size=\"12434432\"] \n  40 [size=\"144797013\", alpha=\"0.14\", expect_size=\"43439104\"] \n  41 [size=\"43588267\", alpha=\"0.16\", expect_size=\"13076480\"] \n  42 [size=\"44561067\", alpha=\"0.17\", expect_size=\"13368320\"] \n  43 [size=\"19602773\", alpha=\"0.05\", expect_size=\"5880832\"] \n  44 [size=\"65570133\", alpha=\"0.02\", expect_size=\"19671040\"] \n  45 [size=\"144128000\", alpha=\"0.02\", expect_size=\"43238400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90129067\", alpha=\"0.12\", expect_size=\"27038720\"] \n  1 -> 8 [size =\"27038720\"]\n  2 [size=\"66048000\", alpha=\"0.01\", expect_size=\"19814400\"] \n  2 -> 6 [size =\"19814400\"]\n  2 -> 9 [size =\"19814400\"]\n  2 -> 10 [size =\"19814400\"]\n  3 [size=\"73922560\", alpha=\"0.17\", expect_size=\"22176768\"] \n  3 -> 6 [size =\"22176768\"]\n  3 -> 9 [size =\"22176768\"]\n  4 [size=\"59624107\", alpha=\"0.03\", expect_size=\"17887232\"] \n  4 -> 6 [size =\"17887232\"]\n  5 [size=\"51712000\", alpha=\"0.11\", expect_size=\"15513600\"] \n  5 -> 6 [size =\"15513600\"]\n  5 -> 7 [size =\"15513600\"]\n  5 -> 9 [size =\"15513600\"]\n  5 -> 10 [size =\"15513600\"]\n  6 [size=\"92736853\", alpha=\"0.02\", expect_size=\"27821056\"] \n  6 -> 11 [size =\"27821056\"]\n  6 -> 14 [size =\"27821056\"]\n  6 -> 15 [size =\"27821056\"]\n  7 [size=\"43178667\", alpha=\"0.03\", expect_size=\"12953600\"] \n  7 -> 11 [size =\"12953600\"]\n  7 -> 12 [size =\"12953600\"]\n  7 -> 13 [size =\"12953600\"]\n  7 -> 14 [size =\"12953600\"]\n  7 -> 15 [size =\"12953600\"]\n  8 [size=\"127976107\", alpha=\"0.08\", expect_size=\"38392832\"] \n  8 -> 14 [size =\"38392832\"]\n  8 -> 15 [size =\"38392832\"]\n  9 [size=\"135560533\", alpha=\"0.10\", expect_size=\"40668160\"] \n  9 -> 11 [size =\"40668160\"]\n  9 -> 14 [size =\"40668160\"]\n  9 -> 15 [size =\"40668160\"]\n  10 [size=\"160423253\", alpha=\"0.11\", expect_size=\"48126976\"] \n  10 -> 11 [size =\"48126976\"]\n  10 -> 14 [size =\"48126976\"]\n  10 -> 15 [size =\"48126976\"]\n  11 [size=\"169932800\", alpha=\"0.04\", expect_size=\"50979840\"] \n  11 -> 16 [size =\"50979840\"]\n  11 -> 17 [size =\"50979840\"]\n  11 -> 19 [size =\"50979840\"]\n  11 -> 20 [size =\"50979840\"]\n  12 [size=\"105110187\", alpha=\"0.10\", expect_size=\"31533056\"] \n  12 -> 16 [size =\"31533056\"]\n  12 -> 18 [size =\"31533056\"]\n  12 -> 20 [size =\"31533056\"]\n  12 -> 20 [size =\"31533056\"]\n  13 [size=\"111076693\", alpha=\"0.14\", expect_size=\"33323008\"] \n  13 -> 16 [size =\"33323008\"]\n  13 -> 17 [size =\"33323008\"]\n  13 -> 18 [size =\"33323008\"]\n  13 -> 19 [size =\"33323008\"]\n  14 [size=\"89067520\", alpha=\"0.05\", expect_size=\"26720256\"] \n  14 -> 17 [size =\"26720256\"]\n  14 -> 17 [size =\"26720256\"]\n  14 -> 20 [size =\"26720256\"]\n  15 [size=\"114008747\", alpha=\"0.05\", expect_size=\"34202624\"] \n  15 -> 16 [size =\"34202624\"]\n  15 -> 17 [size =\"34202624\"]\n  15 -> 19 [size =\"34202624\"]\n  15 -> 20 [size =\"34202624\"]\n  16 [size=\"44919467\", alpha=\"0.09\", expect_size=\"13475840\"] \n  16 -> 21 [size =\"13475840\"]\n  16 -> 22 [size =\"13475840\"]\n  16 -> 23 [size =\"13475840\"]\n  16 -> 24 [size =\"13475840\"]\n  17 [size=\"62740480\", alpha=\"0.15\", expect_size=\"18822144\"] \n  17 -> 25 [size =\"18822144\"]\n  18 [size=\"83787093\", alpha=\"0.02\", expect_size=\"25136128\"] \n  18 -> 21 [size =\"25136128\"]\n  18 -> 23 [size =\"25136128\"]\n  18 -> 24 [size =\"25136128\"]\n  19 [size=\"149002240\", alpha=\"0.15\", expect_size=\"44700672\"] \n  19 -> 21 [size =\"44700672\"]\n  19 -> 23 [size =\"44700672\"]\n  19 -> 24 [size =\"44700672\"]\n  19 -> 25 [size =\"44700672\"]\n  20 [size=\"73526613\", alpha=\"0.08\", expect_size=\"22057984\"] \n  20 -> 21 [size =\"22057984\"]\n  20 -> 23 [size =\"22057984\"]\n  20 -> 24 [size =\"22057984\"]\n  21 [size=\"158955520\", alpha=\"0.11\", expect_size=\"47686656\"] \n  21 -> 27 [size =\"47686656\"]\n  21 -> 28 [size =\"47686656\"]\n  21 -> 29 [size =\"47686656\"]\n  21 -> 30 [size =\"47686656\"]\n  22 [size=\"34078720\", alpha=\"0.19\", expect_size=\"10223616\"] \n  22 -> 26 [size =\"10223616\"]\n  22 -> 27 [size =\"10223616\"]\n  22 -> 28 [size =\"10223616\"]\n  22 -> 29 [size =\"10223616\"]\n  22 -> 30 [size =\"10223616\"]\n  23 [size=\"114967893\", alpha=\"0.15\", expect_size=\"34490368\"] \n  23 -> 26 [size =\"34490368\"]\n  23 -> 27 [size =\"34490368\"]\n  23 -> 29 [size =\"34490368\"]\n  23 -> 30 [size =\"34490368\"]\n  24 [size=\"71038293\", alpha=\"0.16\", expect_size=\"21311488\"] \n  24 -> 26 [size =\"21311488\"]\n  24 -> 27 [size =\"21311488\"]\n  24 -> 30 [size =\"21311488\"]\n  25 [size=\"109605547\", alpha=\"0.02\", expect_size=\"32881664\"] \n  25 -> 26 [size =\"32881664\"]\n  25 -> 27 [size =\"32881664\"]\n  25 -> 30 [size =\"32881664\"]\n  26 [size=\"149661013\", alpha=\"0.17\", expect_size=\"44898304\"] \n  26 -> 32 [size =\"44898304\"]\n  26 -> 35 [size =\"44898304\"]\n  27 [size=\"60910933\", alpha=\"0.15\", expect_size=\"18273280\"] \n  27 -> 31 [size =\"18273280\"]\n  27 -> 32 [size =\"18273280\"]\n  27 -> 33 [size =\"18273280\"]\n  28 [size=\"24320000\", alpha=\"0.08\", expect_size=\"7296000\"] \n  28 -> 32 [size =\"7296000\"]\n  29 [size=\"42397013\", alpha=\"0.15\", expect_size=\"12719104\"] \n  29 -> 31 [size =\"12719104\"]\n  29 -> 33 [size =\"12719104\"]\n  29 -> 35 [size =\"12719104\"]\n  30 [size=\"161187840\", alpha=\"0.01\", expect_size=\"48356352\"] \n  30 -> 34 [size =\"48356352\"]\n  30 -> 35 [size =\"48356352\"]\n  31 [size=\"69137067\", alpha=\"0.05\", expect_size=\"20741120\"] \n  31 -> 37 [size =\"20741120\"]\n  31 -> 38 [size =\"20741120\"]\n  31 -> 40 [size =\"20741120\"]\n  32 [size=\"153477120\", alpha=\"0.02\", expect_size=\"46043136\"] \n  32 -> 36 [size =\"46043136\"]\n  32 -> 37 [size =\"46043136\"]\n  32 -> 38 [size =\"46043136\"]\n  32 -> 39 [size =\"46043136\"]\n  32 -> 40 [size =\"46043136\"]\n  33 [size=\"148206933\", alpha=\"0.10\", expect_size=\"44462080\"] \n  33 -> 37 [size =\"44462080\"]\n  33 -> 37 [size =\"44462080\"]\n  33 -> 38 [size =\"44462080\"]\n  33 -> 39 [size =\"44462080\"]\n  33 -> 40 [size =\"44462080\"]\n  34 [size=\"109776213\", alpha=\"0.07\", expect_size=\"32932864\"] \n  34 -> 37 [size =\"32932864\"]\n  35 [size=\"80332800\", alpha=\"0.16\", expect_size=\"24099840\"] \n  35 -> 36 [size =\"24099840\"]\n  35 -> 38 [size =\"24099840\"]\n  35 -> 40 [size =\"24099840\"]\n  36 [size=\"94115840\", alpha=\"0.09\", expect_size=\"28234752\"] \n  36 -> 41 [size =\"28234752\"]\n  36 -> 42 [size =\"28234752\"]\n  36 -> 44 [size =\"28234752\"]\n  36 -> 45 [size =\"28234752\"]\n  37 [size=\"69096107\", alpha=\"0.08\", expect_size=\"20728832\"] \n  37 -> 41 [size =\"20728832\"]\n  37 -> 43 [size =\"20728832\"]\n  38 [size=\"30982827\", alpha=\"0.15\", expect_size=\"9294848\"] \n  38 -> 41 [size =\"9294848\"]\n  38 -> 43 [size =\"9294848\"]\n  38 -> 44 [size =\"9294848\"]\n  38 -> 45 [size =\"9294848\"]\n  39 [size=\"90275840\", alpha=\"0.18\", expect_size=\"27082752\"] \n  39 -> 42 [size =\"27082752\"]\n  39 -> 44 [size =\"27082752\"]\n  39 -> 45 [size =\"27082752\"]\n  39 -> 45 [size =\"27082752\"]\n  40 [size=\"50490027\", alpha=\"0.09\", expect_size=\"15147008\"] \n  40 -> 43 [size =\"15147008\"]\n  40 -> 44 [size =\"15147008\"]\n  40 -> 45 [size =\"15147008\"]\n  41 [size=\"54572373\", alpha=\"0.18\", expect_size=\"16371712\"] \n  42 [size=\"97696427\", alpha=\"0.09\", expect_size=\"29308928\"] \n  43 [size=\"110213120\", alpha=\"0.13\", expect_size=\"33063936\"] \n  44 [size=\"28429653\", alpha=\"0.03\", expect_size=\"8528896\"] \n  45 [size=\"81230507\", alpha=\"0.05\", expect_size=\"24369152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37046272\", alpha=\"0.12\", expect_size=\"18523136\"] \n  1 -> 2 [size =\"18523136\"]\n  2 [size=\"73580544\", alpha=\"0.19\", expect_size=\"36790272\"] \n  2 -> 3 [size =\"36790272\"]\n  3 [size=\"102041600\", alpha=\"0.17\", expect_size=\"51020800\"] \n  3 -> 4 [size =\"51020800\"]\n  4 [size=\"36079616\", alpha=\"0.00\", expect_size=\"18039808\"] \n  4 -> 5 [size =\"18039808\"]\n  5 [size=\"38963200\", alpha=\"0.10\", expect_size=\"19481600\"] \n  5 -> 6 [size =\"19481600\"]\n  6 [size=\"16201728\", alpha=\"0.05\", expect_size=\"8100864\"] \n  6 -> 7 [size =\"8100864\"]\n  7 [size=\"97855488\", alpha=\"0.09\", expect_size=\"48927744\"] \n  7 -> 8 [size =\"48927744\"]\n  8 [size=\"82577408\", alpha=\"0.07\", expect_size=\"41288704\"] \n  8 -> 9 [size =\"41288704\"]\n  9 [size=\"30703616\", alpha=\"0.18\", expect_size=\"15351808\"] \n  9 -> 10 [size =\"15351808\"]\n  10 [size=\"43075584\", alpha=\"0.01\", expect_size=\"21537792\"] \n  10 -> 11 [size =\"21537792\"]\n  11 [size=\"94171136\", alpha=\"0.10\", expect_size=\"47085568\"] \n  11 -> 12 [size =\"47085568\"]\n  12 [size=\"57309184\", alpha=\"0.11\", expect_size=\"28654592\"] \n  12 -> 13 [size =\"28654592\"]\n  13 [size=\"53096448\", alpha=\"0.19\", expect_size=\"26548224\"] \n  13 -> 14 [size =\"26548224\"]\n  14 [size=\"40620032\", alpha=\"0.16\", expect_size=\"20310016\"] \n  14 -> 15 [size =\"20310016\"]\n  15 [size=\"41011200\", alpha=\"0.14\", expect_size=\"20505600\"] \n  15 -> 16 [size =\"20505600\"]\n  16 [size=\"89765888\", alpha=\"0.00\", expect_size=\"44882944\"] \n  16 -> 17 [size =\"44882944\"]\n  17 [size=\"20004864\", alpha=\"0.18\", expect_size=\"10002432\"] \n  17 -> 18 [size =\"10002432\"]\n  18 [size=\"61204480\", alpha=\"0.20\", expect_size=\"30602240\"] \n  18 -> 19 [size =\"30602240\"]\n  19 [size=\"94429184\", alpha=\"0.08\", expect_size=\"47214592\"] \n  19 -> 20 [size =\"47214592\"]\n  20 [size=\"84707328\", alpha=\"0.02\", expect_size=\"42353664\"] \n  20 -> 21 [size =\"42353664\"]\n  21 [size=\"89534464\", alpha=\"0.02\", expect_size=\"44767232\"] \n  21 -> 22 [size =\"44767232\"]\n  22 [size=\"40542208\", alpha=\"0.15\", expect_size=\"20271104\"] \n  22 -> 23 [size =\"20271104\"]\n  23 [size=\"93583360\", alpha=\"0.07\", expect_size=\"46791680\"] \n  23 -> 24 [size =\"46791680\"]\n  24 [size=\"90370048\", alpha=\"0.04\", expect_size=\"45185024\"] \n  24 -> 25 [size =\"45185024\"]\n  25 [size=\"71837696\", alpha=\"0.08\", expect_size=\"35918848\"] \n  25 -> 26 [size =\"35918848\"]\n  26 [size=\"42696704\", alpha=\"0.13\", expect_size=\"21348352\"] \n  26 -> 27 [size =\"21348352\"]\n  27 [size=\"43464704\", alpha=\"0.17\", expect_size=\"21732352\"] \n  27 -> 28 [size =\"21732352\"]\n  28 [size=\"34701312\", alpha=\"0.15\", expect_size=\"17350656\"] \n  28 -> 29 [size =\"17350656\"]\n  29 [size=\"33464320\", alpha=\"0.18\", expect_size=\"16732160\"] \n  29 -> 30 [size =\"16732160\"]\n  30 [size=\"72896512\", alpha=\"0.08\", expect_size=\"36448256\"] \n  30 -> 31 [size =\"36448256\"]\n  31 [size=\"83314688\", alpha=\"0.16\", expect_size=\"41657344\"] \n  31 -> 32 [size =\"41657344\"]\n  32 [size=\"91283456\", alpha=\"0.13\", expect_size=\"45641728\"] \n  32 -> 33 [size =\"45641728\"]\n  33 [size=\"65521664\", alpha=\"0.00\", expect_size=\"32760832\"] \n  33 -> 34 [size =\"32760832\"]\n  34 [size=\"97587200\", alpha=\"0.13\", expect_size=\"48793600\"] \n  34 -> 35 [size =\"48793600\"]\n  35 [size=\"24332288\", alpha=\"0.12\", expect_size=\"12166144\"] \n  35 -> 36 [size =\"12166144\"]\n  36 [size=\"62976000\", alpha=\"0.09\", expect_size=\"31488000\"] \n  36 -> 37 [size =\"31488000\"]\n  37 [size=\"30492672\", alpha=\"0.07\", expect_size=\"15246336\"] \n  37 -> 38 [size =\"15246336\"]\n  38 [size=\"14252032\", alpha=\"0.16\", expect_size=\"7126016\"] \n  38 -> 39 [size =\"7126016\"]\n  39 [size=\"86343680\", alpha=\"0.03\", expect_size=\"43171840\"] \n  39 -> 40 [size =\"43171840\"]\n  40 [size=\"78249984\", alpha=\"0.05\", expect_size=\"39124992\"] \n  40 -> 41 [size =\"39124992\"]\n  41 [size=\"22556672\", alpha=\"0.05\", expect_size=\"11278336\"] \n  41 -> 42 [size =\"11278336\"]\n  42 [size=\"97323008\", alpha=\"0.10\", expect_size=\"48661504\"] \n  42 -> 43 [size =\"48661504\"]\n  43 [size=\"66258944\", alpha=\"0.14\", expect_size=\"33129472\"] \n  43 -> 44 [size =\"33129472\"]\n  44 [size=\"66347008\", alpha=\"0.14\", expect_size=\"33173504\"] \n  44 -> 45 [size =\"33173504\"]\n  45 [size=\"33351680\", alpha=\"0.07\", expect_size=\"16675840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102976853\", alpha=\"0.09\", expect_size=\"30893056\"] \n  1 -> 5 [size =\"30893056\"]\n  2 [size=\"86377813\", alpha=\"0.11\", expect_size=\"25913344\"] \n  2 -> 4 [size =\"25913344\"]\n  2 -> 5 [size =\"25913344\"]\n  2 -> 6 [size =\"25913344\"]\n  3 [size=\"80581973\", alpha=\"0.09\", expect_size=\"24174592\"] \n  3 -> 6 [size =\"24174592\"]\n  4 [size=\"88367787\", alpha=\"0.18\", expect_size=\"26510336\"] \n  4 -> 8 [size =\"26510336\"]\n  5 [size=\"123327147\", alpha=\"0.17\", expect_size=\"36998144\"] \n  5 -> 7 [size =\"36998144\"]\n  6 [size=\"164215467\", alpha=\"0.03\", expect_size=\"49264640\"] \n  6 -> 7 [size =\"49264640\"]\n  6 -> 8 [size =\"49264640\"]\n  7 [size=\"170929493\", alpha=\"0.17\", expect_size=\"51278848\"] \n  7 -> 9 [size =\"51278848\"]\n  7 -> 10 [size =\"51278848\"]\n  7 -> 11 [size =\"51278848\"]\n  8 [size=\"58306560\", alpha=\"0.12\", expect_size=\"17491968\"] \n  8 -> 9 [size =\"17491968\"]\n  8 -> 10 [size =\"17491968\"]\n  8 -> 11 [size =\"17491968\"]\n  9 [size=\"174271147\", alpha=\"0.02\", expect_size=\"52281344\"] \n  9 -> 12 [size =\"52281344\"]\n  10 [size=\"96645120\", alpha=\"0.11\", expect_size=\"28993536\"] \n  10 -> 13 [size =\"28993536\"]\n  11 [size=\"84002133\", alpha=\"0.14\", expect_size=\"25200640\"] \n  12 [size=\"154914133\", alpha=\"0.00\", expect_size=\"46474240\"] \n  12 -> 14 [size =\"46474240\"]\n  13 [size=\"83903147\", alpha=\"0.12\", expect_size=\"25170944\"] \n  13 -> 15 [size =\"25170944\"]\n  14 [size=\"155641173\", alpha=\"0.17\", expect_size=\"46692352\"] \n  15 [size=\"138885120\", alpha=\"0.20\", expect_size=\"41665536\"] \n  15 -> 16 [size =\"41665536\"]\n  15 -> 17 [size =\"41665536\"]\n  16 [size=\"111697920\", alpha=\"0.14\", expect_size=\"33509376\"] \n  16 -> 18 [size =\"33509376\"]\n  16 -> 20 [size =\"33509376\"]\n  17 [size=\"138345813\", alpha=\"0.18\", expect_size=\"41503744\"] \n  17 -> 19 [size =\"41503744\"]\n  17 -> 20 [size =\"41503744\"]\n  18 [size=\"118422187\", alpha=\"0.08\", expect_size=\"35526656\"] \n  18 -> 22 [size =\"35526656\"]\n  19 [size=\"51578880\", alpha=\"0.06\", expect_size=\"15473664\"] \n  19 -> 21 [size =\"15473664\"]\n  20 [size=\"65959253\", alpha=\"0.18\", expect_size=\"19787776\"] \n  20 -> 22 [size =\"19787776\"]\n  21 [size=\"148640427\", alpha=\"0.02\", expect_size=\"44592128\"] \n  21 -> 23 [size =\"44592128\"]\n  21 -> 24 [size =\"44592128\"]\n  22 [size=\"101331627\", alpha=\"0.13\", expect_size=\"30399488\"] \n  22 -> 23 [size =\"30399488\"]\n  22 -> 24 [size =\"30399488\"]\n  23 [size=\"104802987\", alpha=\"0.13\", expect_size=\"31440896\"] \n  23 -> 25 [size =\"31440896\"]\n  23 -> 26 [size =\"31440896\"]\n  23 -> 27 [size =\"31440896\"]\n  24 [size=\"45509973\", alpha=\"0.02\", expect_size=\"13652992\"] \n  24 -> 27 [size =\"13652992\"]\n  25 [size=\"18459307\", alpha=\"0.04\", expect_size=\"5537792\"] \n  25 -> 28 [size =\"5537792\"]\n  25 -> 29 [size =\"5537792\"]\n  26 [size=\"173096960\", alpha=\"0.05\", expect_size=\"51929088\"] \n  26 -> 28 [size =\"51929088\"]\n  26 -> 29 [size =\"51929088\"]\n  26 -> 30 [size =\"51929088\"]\n  27 [size=\"127842987\", alpha=\"0.06\", expect_size=\"38352896\"] \n  27 -> 28 [size =\"38352896\"]\n  27 -> 30 [size =\"38352896\"]\n  28 [size=\"113015467\", alpha=\"0.12\", expect_size=\"33904640\"] \n  28 -> 32 [size =\"33904640\"]\n  29 [size=\"18821120\", alpha=\"0.17\", expect_size=\"5646336\"] \n  29 -> 31 [size =\"5646336\"]\n  30 [size=\"67928747\", alpha=\"0.13\", expect_size=\"20378624\"] \n  31 [size=\"55787520\", alpha=\"0.17\", expect_size=\"16736256\"] \n  31 -> 33 [size =\"16736256\"]\n  31 -> 34 [size =\"16736256\"]\n  32 [size=\"67898027\", alpha=\"0.19\", expect_size=\"20369408\"] \n  32 -> 34 [size =\"20369408\"]\n  32 -> 35 [size =\"20369408\"]\n  33 [size=\"173165227\", alpha=\"0.09\", expect_size=\"51949568\"] \n  33 -> 36 [size =\"51949568\"]\n  33 -> 37 [size =\"51949568\"]\n  33 -> 38 [size =\"51949568\"]\n  34 [size=\"120122027\", alpha=\"0.17\", expect_size=\"36036608\"] \n  34 -> 37 [size =\"36036608\"]\n  35 [size=\"136949760\", alpha=\"0.20\", expect_size=\"41084928\"] \n  35 -> 36 [size =\"41084928\"]\n  35 -> 38 [size =\"41084928\"]\n  36 [size=\"172212907\", alpha=\"0.15\", expect_size=\"51663872\"] \n  36 -> 39 [size =\"51663872\"]\n  36 -> 41 [size =\"51663872\"]\n  37 [size=\"58084693\", alpha=\"0.05\", expect_size=\"17425408\"] \n  37 -> 40 [size =\"17425408\"]\n  37 -> 41 [size =\"17425408\"]\n  38 [size=\"105297920\", alpha=\"0.09\", expect_size=\"31589376\"] \n  38 -> 40 [size =\"31589376\"]\n  39 [size=\"40116907\", alpha=\"0.16\", expect_size=\"12035072\"] \n  39 -> 42 [size =\"12035072\"]\n  40 [size=\"19333120\", alpha=\"0.10\", expect_size=\"5799936\"] \n  40 -> 42 [size =\"5799936\"]\n  40 -> 43 [size =\"5799936\"]\n  41 [size=\"122122240\", alpha=\"0.00\", expect_size=\"36636672\"] \n  41 -> 42 [size =\"36636672\"]\n  41 -> 43 [size =\"36636672\"]\n  42 [size=\"100437333\", alpha=\"0.02\", expect_size=\"30131200\"] \n  42 -> 44 [size =\"30131200\"]\n  43 [size=\"91716267\", alpha=\"0.14\", expect_size=\"27514880\"] \n  43 -> 45 [size =\"27514880\"]\n  44 [size=\"162392747\", alpha=\"0.10\", expect_size=\"48717824\"] \n  45 [size=\"136058880\", alpha=\"0.06\", expect_size=\"40817664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46882816\", alpha=\"0.04\", expect_size=\"23441408\"] \n  1 -> 6 [size =\"23441408\"]\n  2 [size=\"62410752\", alpha=\"0.02\", expect_size=\"31205376\"] \n  2 -> 6 [size =\"31205376\"]\n  2 -> 11 [size =\"31205376\"]\n  3 [size=\"55496704\", alpha=\"0.06\", expect_size=\"27748352\"] \n  3 -> 6 [size =\"27748352\"]\n  3 -> 8 [size =\"27748352\"]\n  3 -> 9 [size =\"27748352\"]\n  3 -> 10 [size =\"27748352\"]\n  3 -> 11 [size =\"27748352\"]\n  4 [size=\"98553856\", alpha=\"0.20\", expect_size=\"49276928\"] \n  4 -> 6 [size =\"49276928\"]\n  4 -> 7 [size =\"49276928\"]\n  4 -> 8 [size =\"49276928\"]\n  4 -> 10 [size =\"49276928\"]\n  4 -> 11 [size =\"49276928\"]\n  5 [size=\"65028096\", alpha=\"0.04\", expect_size=\"32514048\"] \n  5 -> 7 [size =\"32514048\"]\n  5 -> 8 [size =\"32514048\"]\n  5 -> 8 [size =\"32514048\"]\n  5 -> 10 [size =\"32514048\"]\n  5 -> 11 [size =\"32514048\"]\n  6 [size=\"35962880\", alpha=\"0.01\", expect_size=\"17981440\"] \n  6 -> 13 [size =\"17981440\"]\n  6 -> 14 [size =\"17981440\"]\n  6 -> 15 [size =\"17981440\"]\n  6 -> 17 [size =\"17981440\"]\n  7 [size=\"43612160\", alpha=\"0.07\", expect_size=\"21806080\"] \n  7 -> 12 [size =\"21806080\"]\n  7 -> 13 [size =\"21806080\"]\n  7 -> 14 [size =\"21806080\"]\n  7 -> 16 [size =\"21806080\"]\n  7 -> 17 [size =\"21806080\"]\n  8 [size=\"104091648\", alpha=\"0.10\", expect_size=\"52045824\"] \n  8 -> 12 [size =\"52045824\"]\n  8 -> 16 [size =\"52045824\"]\n  9 [size=\"80902144\", alpha=\"0.04\", expect_size=\"40451072\"] \n  9 -> 13 [size =\"40451072\"]\n  9 -> 14 [size =\"40451072\"]\n  9 -> 15 [size =\"40451072\"]\n  9 -> 16 [size =\"40451072\"]\n  9 -> 17 [size =\"40451072\"]\n  10 [size=\"100114432\", alpha=\"0.18\", expect_size=\"50057216\"] \n  10 -> 13 [size =\"50057216\"]\n  10 -> 15 [size =\"50057216\"]\n  11 [size=\"32710656\", alpha=\"0.17\", expect_size=\"16355328\"] \n  11 -> 12 [size =\"16355328\"]\n  11 -> 13 [size =\"16355328\"]\n  11 -> 15 [size =\"16355328\"]\n  11 -> 17 [size =\"16355328\"]\n  12 [size=\"52596736\", alpha=\"0.01\", expect_size=\"26298368\"] \n  12 -> 21 [size =\"26298368\"]\n  13 [size=\"62779392\", alpha=\"0.13\", expect_size=\"31389696\"] \n  13 -> 21 [size =\"31389696\"]\n  13 -> 22 [size =\"31389696\"]\n  13 -> 23 [size =\"31389696\"]\n  14 [size=\"89473024\", alpha=\"0.12\", expect_size=\"44736512\"] \n  14 -> 18 [size =\"44736512\"]\n  14 -> 19 [size =\"44736512\"]\n  14 -> 21 [size =\"44736512\"]\n  15 [size=\"87539712\", alpha=\"0.02\", expect_size=\"43769856\"] \n  15 -> 22 [size =\"43769856\"]\n  15 -> 23 [size =\"43769856\"]\n  16 [size=\"12703744\", alpha=\"0.09\", expect_size=\"6351872\"] \n  16 -> 18 [size =\"6351872\"]\n  16 -> 19 [size =\"6351872\"]\n  16 -> 20 [size =\"6351872\"]\n  16 -> 21 [size =\"6351872\"]\n  16 -> 23 [size =\"6351872\"]\n  17 [size=\"15867904\", alpha=\"0.05\", expect_size=\"7933952\"] \n  17 -> 19 [size =\"7933952\"]\n  17 -> 23 [size =\"7933952\"]\n  18 [size=\"49700864\", alpha=\"0.02\", expect_size=\"24850432\"] \n  18 -> 25 [size =\"24850432\"]\n  18 -> 28 [size =\"24850432\"]\n  19 [size=\"98650112\", alpha=\"0.17\", expect_size=\"49325056\"] \n  20 [size=\"25495552\", alpha=\"0.11\", expect_size=\"12747776\"] \n  20 -> 25 [size =\"12747776\"]\n  20 -> 26 [size =\"12747776\"]\n  20 -> 27 [size =\"12747776\"]\n  20 -> 28 [size =\"12747776\"]\n  21 [size=\"16203776\", alpha=\"0.13\", expect_size=\"8101888\"] \n  21 -> 26 [size =\"8101888\"]\n  21 -> 27 [size =\"8101888\"]\n  21 -> 28 [size =\"8101888\"]\n  22 [size=\"97482752\", alpha=\"0.05\", expect_size=\"48741376\"] \n  22 -> 25 [size =\"48741376\"]\n  22 -> 26 [size =\"48741376\"]\n  22 -> 27 [size =\"48741376\"]\n  23 [size=\"103692288\", alpha=\"0.08\", expect_size=\"51846144\"] \n  23 -> 24 [size =\"51846144\"]\n  23 -> 28 [size =\"51846144\"]\n  24 [size=\"72380416\", alpha=\"0.09\", expect_size=\"36190208\"] \n  24 -> 29 [size =\"36190208\"]\n  24 -> 31 [size =\"36190208\"]\n  24 -> 32 [size =\"36190208\"]\n  24 -> 33 [size =\"36190208\"]\n  25 [size=\"32636928\", alpha=\"0.01\", expect_size=\"16318464\"] \n  25 -> 30 [size =\"16318464\"]\n  25 -> 31 [size =\"16318464\"]\n  25 -> 32 [size =\"16318464\"]\n  25 -> 33 [size =\"16318464\"]\n  25 -> 34 [size =\"16318464\"]\n  26 [size=\"42309632\", alpha=\"0.19\", expect_size=\"21154816\"] \n  26 -> 30 [size =\"21154816\"]\n  26 -> 31 [size =\"21154816\"]\n  26 -> 34 [size =\"21154816\"]\n  27 [size=\"83445760\", alpha=\"0.04\", expect_size=\"41722880\"] \n  27 -> 30 [size =\"41722880\"]\n  27 -> 32 [size =\"41722880\"]\n  27 -> 33 [size =\"41722880\"]\n  28 [size=\"12261376\", alpha=\"0.09\", expect_size=\"6130688\"] \n  28 -> 30 [size =\"6130688\"]\n  28 -> 31 [size =\"6130688\"]\n  28 -> 32 [size =\"6130688\"]\n  28 -> 33 [size =\"6130688\"]\n  28 -> 34 [size =\"6130688\"]\n  29 [size=\"22935552\", alpha=\"0.09\", expect_size=\"11467776\"] \n  29 -> 38 [size =\"11467776\"]\n  29 -> 38 [size =\"11467776\"]\n  29 -> 39 [size =\"11467776\"]\n  30 [size=\"102109184\", alpha=\"0.07\", expect_size=\"51054592\"] \n  30 -> 40 [size =\"51054592\"]\n  31 [size=\"58816512\", alpha=\"0.11\", expect_size=\"29408256\"] \n  31 -> 37 [size =\"29408256\"]\n  31 -> 40 [size =\"29408256\"]\n  32 [size=\"23822336\", alpha=\"0.03\", expect_size=\"11911168\"] \n  32 -> 38 [size =\"11911168\"]\n  32 -> 40 [size =\"11911168\"]\n  33 [size=\"49057792\", alpha=\"0.06\", expect_size=\"24528896\"] \n  33 -> 35 [size =\"24528896\"]\n  33 -> 37 [size =\"24528896\"]\n  33 -> 38 [size =\"24528896\"]\n  34 [size=\"85157888\", alpha=\"0.07\", expect_size=\"42578944\"] \n  34 -> 36 [size =\"42578944\"]\n  34 -> 38 [size =\"42578944\"]\n  34 -> 40 [size =\"42578944\"]\n  35 [size=\"31453184\", alpha=\"0.03\", expect_size=\"15726592\"] \n  35 -> 41 [size =\"15726592\"]\n  35 -> 42 [size =\"15726592\"]\n  35 -> 43 [size =\"15726592\"]\n  35 -> 45 [size =\"15726592\"]\n  36 [size=\"36853760\", alpha=\"0.20\", expect_size=\"18426880\"] \n  36 -> 41 [size =\"18426880\"]\n  36 -> 45 [size =\"18426880\"]\n  37 [size=\"32471040\", alpha=\"0.18\", expect_size=\"16235520\"] \n  37 -> 41 [size =\"16235520\"]\n  37 -> 42 [size =\"16235520\"]\n  37 -> 45 [size =\"16235520\"]\n  38 [size=\"51427328\", alpha=\"0.05\", expect_size=\"25713664\"] \n  38 -> 41 [size =\"25713664\"]\n  38 -> 45 [size =\"25713664\"]\n  38 -> 45 [size =\"25713664\"]\n  39 [size=\"92958720\", alpha=\"0.10\", expect_size=\"46479360\"] \n  39 -> 42 [size =\"46479360\"]\n  39 -> 43 [size =\"46479360\"]\n  39 -> 44 [size =\"46479360\"]\n  40 [size=\"38742016\", alpha=\"0.18\", expect_size=\"19371008\"] \n  40 -> 42 [size =\"19371008\"]\n  40 -> 43 [size =\"19371008\"]\n  40 -> 44 [size =\"19371008\"]\n  41 [size=\"72773632\", alpha=\"0.07\", expect_size=\"36386816\"] \n  42 [size=\"28540928\", alpha=\"0.15\", expect_size=\"14270464\"] \n  43 [size=\"42524672\", alpha=\"0.03\", expect_size=\"21262336\"] \n  44 [size=\"72648704\", alpha=\"0.04\", expect_size=\"36324352\"] \n  45 [size=\"103526400\", alpha=\"0.09\", expect_size=\"51763200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45789184\", alpha=\"0.06\", expect_size=\"22894592\"] \n  1 -> 2 [size =\"22894592\"]\n  2 [size=\"90298368\", alpha=\"0.12\", expect_size=\"45149184\"] \n  2 -> 3 [size =\"45149184\"]\n  3 [size=\"65212416\", alpha=\"0.15\", expect_size=\"32606208\"] \n  3 -> 4 [size =\"32606208\"]\n  4 [size=\"20439040\", alpha=\"0.05\", expect_size=\"10219520\"] \n  4 -> 5 [size =\"10219520\"]\n  5 [size=\"47443968\", alpha=\"0.16\", expect_size=\"23721984\"] \n  5 -> 6 [size =\"23721984\"]\n  6 [size=\"13273088\", alpha=\"0.15\", expect_size=\"6636544\"] \n  6 -> 7 [size =\"6636544\"]\n  7 [size=\"34191360\", alpha=\"0.01\", expect_size=\"17095680\"] \n  7 -> 8 [size =\"17095680\"]\n  8 [size=\"15063040\", alpha=\"0.15\", expect_size=\"7531520\"] \n  8 -> 9 [size =\"7531520\"]\n  9 [size=\"31873024\", alpha=\"0.02\", expect_size=\"15936512\"] \n  9 -> 10 [size =\"15936512\"]\n  10 [size=\"70934528\", alpha=\"0.09\", expect_size=\"35467264\"] \n  10 -> 11 [size =\"35467264\"]\n  11 [size=\"36298752\", alpha=\"0.07\", expect_size=\"18149376\"] \n  11 -> 12 [size =\"18149376\"]\n  12 [size=\"63524864\", alpha=\"0.01\", expect_size=\"31762432\"] \n  12 -> 13 [size =\"31762432\"]\n  13 [size=\"26097664\", alpha=\"0.09\", expect_size=\"13048832\"] \n  13 -> 14 [size =\"13048832\"]\n  14 [size=\"95045632\", alpha=\"0.12\", expect_size=\"47522816\"] \n  14 -> 15 [size =\"47522816\"]\n  15 [size=\"23390208\", alpha=\"0.00\", expect_size=\"11695104\"] \n  15 -> 16 [size =\"11695104\"]\n  16 [size=\"99497984\", alpha=\"0.01\", expect_size=\"49748992\"] \n  16 -> 17 [size =\"49748992\"]\n  17 [size=\"76298240\", alpha=\"0.13\", expect_size=\"38149120\"] \n  17 -> 18 [size =\"38149120\"]\n  18 [size=\"81426432\", alpha=\"0.06\", expect_size=\"40713216\"] \n  18 -> 19 [size =\"40713216\"]\n  19 [size=\"58834944\", alpha=\"0.09\", expect_size=\"29417472\"] \n  19 -> 20 [size =\"29417472\"]\n  20 [size=\"68728832\", alpha=\"0.11\", expect_size=\"34364416\"] \n  20 -> 21 [size =\"34364416\"]\n  21 [size=\"18409472\", alpha=\"0.20\", expect_size=\"9204736\"] \n  21 -> 22 [size =\"9204736\"]\n  22 [size=\"52672512\", alpha=\"0.06\", expect_size=\"26336256\"] \n  22 -> 23 [size =\"26336256\"]\n  23 [size=\"59418624\", alpha=\"0.03\", expect_size=\"29709312\"] \n  23 -> 24 [size =\"29709312\"]\n  24 [size=\"99995648\", alpha=\"0.03\", expect_size=\"49997824\"] \n  24 -> 25 [size =\"49997824\"]\n  25 [size=\"62451712\", alpha=\"0.10\", expect_size=\"31225856\"] \n  25 -> 26 [size =\"31225856\"]\n  26 [size=\"62459904\", alpha=\"0.18\", expect_size=\"31229952\"] \n  26 -> 27 [size =\"31229952\"]\n  27 [size=\"64968704\", alpha=\"0.11\", expect_size=\"32484352\"] \n  27 -> 28 [size =\"32484352\"]\n  28 [size=\"31967232\", alpha=\"0.05\", expect_size=\"15983616\"] \n  28 -> 29 [size =\"15983616\"]\n  29 [size=\"59797504\", alpha=\"0.04\", expect_size=\"29898752\"] \n  29 -> 30 [size =\"29898752\"]\n  30 [size=\"103528448\", alpha=\"0.15\", expect_size=\"51764224\"] \n  30 -> 31 [size =\"51764224\"]\n  31 [size=\"59860992\", alpha=\"0.12\", expect_size=\"29930496\"] \n  31 -> 32 [size =\"29930496\"]\n  32 [size=\"58468352\", alpha=\"0.20\", expect_size=\"29234176\"] \n  32 -> 33 [size =\"29234176\"]\n  33 [size=\"84795392\", alpha=\"0.11\", expect_size=\"42397696\"] \n  33 -> 34 [size =\"42397696\"]\n  34 [size=\"99196928\", alpha=\"0.00\", expect_size=\"49598464\"] \n  34 -> 35 [size =\"49598464\"]\n  35 [size=\"17252352\", alpha=\"0.13\", expect_size=\"8626176\"] \n  35 -> 36 [size =\"8626176\"]\n  36 [size=\"64665600\", alpha=\"0.03\", expect_size=\"32332800\"] \n  36 -> 37 [size =\"32332800\"]\n  37 [size=\"55484416\", alpha=\"0.08\", expect_size=\"27742208\"] \n  37 -> 38 [size =\"27742208\"]\n  38 [size=\"13412352\", alpha=\"0.08\", expect_size=\"6706176\"] \n  38 -> 39 [size =\"6706176\"]\n  39 [size=\"37402624\", alpha=\"0.18\", expect_size=\"18701312\"] \n  39 -> 40 [size =\"18701312\"]\n  40 [size=\"54468608\", alpha=\"0.01\", expect_size=\"27234304\"] \n  40 -> 41 [size =\"27234304\"]\n  41 [size=\"30693376\", alpha=\"0.05\", expect_size=\"15346688\"] \n  41 -> 42 [size =\"15346688\"]\n  42 [size=\"86261760\", alpha=\"0.18\", expect_size=\"43130880\"] \n  42 -> 43 [size =\"43130880\"]\n  43 [size=\"85467136\", alpha=\"0.01\", expect_size=\"42733568\"] \n  43 -> 44 [size =\"42733568\"]\n  44 [size=\"43921408\", alpha=\"0.04\", expect_size=\"21960704\"] \n  44 -> 45 [size =\"21960704\"]\n  45 [size=\"46188544\", alpha=\"0.17\", expect_size=\"23094272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63899648\", alpha=\"0.19\", expect_size=\"31949824\"] \n  1 -> 6 [size =\"31949824\"]\n  1 -> 7 [size =\"31949824\"]\n  2 [size=\"89749504\", alpha=\"0.03\", expect_size=\"44874752\"] \n  2 -> 7 [size =\"44874752\"]\n  3 [size=\"60428288\", alpha=\"0.19\", expect_size=\"30214144\"] \n  3 -> 5 [size =\"30214144\"]\n  4 [size=\"97331200\", alpha=\"0.06\", expect_size=\"48665600\"] \n  5 [size=\"33710080\", alpha=\"0.03\", expect_size=\"16855040\"] \n  5 -> 8 [size =\"16855040\"]\n  5 -> 9 [size =\"16855040\"]\n  6 [size=\"50360320\", alpha=\"0.17\", expect_size=\"25180160\"] \n  6 -> 10 [size =\"25180160\"]\n  7 [size=\"33323008\", alpha=\"0.03\", expect_size=\"16661504\"] \n  8 [size=\"80398336\", alpha=\"0.09\", expect_size=\"40199168\"] \n  8 -> 11 [size =\"40199168\"]\n  8 -> 12 [size =\"40199168\"]\n  8 -> 13 [size =\"40199168\"]\n  9 [size=\"53813248\", alpha=\"0.09\", expect_size=\"26906624\"] \n  9 -> 14 [size =\"26906624\"]\n  10 [size=\"48248832\", alpha=\"0.00\", expect_size=\"24124416\"] \n  10 -> 11 [size =\"24124416\"]\n  10 -> 13 [size =\"24124416\"]\n  11 [size=\"11472896\", alpha=\"0.12\", expect_size=\"5736448\"] \n  11 -> 15 [size =\"5736448\"]\n  11 -> 16 [size =\"5736448\"]\n  12 [size=\"102686720\", alpha=\"0.00\", expect_size=\"51343360\"] \n  12 -> 16 [size =\"51343360\"]\n  13 [size=\"24442880\", alpha=\"0.05\", expect_size=\"12221440\"] \n  14 [size=\"19642368\", alpha=\"0.13\", expect_size=\"9821184\"] \n  15 [size=\"50071552\", alpha=\"0.05\", expect_size=\"25035776\"] \n  16 [size=\"64538624\", alpha=\"0.14\", expect_size=\"32269312\"] \n  16 -> 17 [size =\"32269312\"]\n  16 -> 18 [size =\"32269312\"]\n  17 [size=\"51257344\", alpha=\"0.01\", expect_size=\"25628672\"] \n  18 [size=\"65728512\", alpha=\"0.19\", expect_size=\"32864256\"] \n  18 -> 19 [size =\"32864256\"]\n  18 -> 20 [size =\"32864256\"]\n  18 -> 21 [size =\"32864256\"]\n  19 [size=\"13529088\", alpha=\"0.12\", expect_size=\"6764544\"] \n  19 -> 22 [size =\"6764544\"]\n  20 [size=\"54493184\", alpha=\"0.20\", expect_size=\"27246592\"] \n  20 -> 23 [size =\"27246592\"]\n  21 [size=\"55281664\", alpha=\"0.18\", expect_size=\"27640832\"] \n  21 -> 23 [size =\"27640832\"]\n  22 [size=\"18468864\", alpha=\"0.13\", expect_size=\"9234432\"] \n  22 -> 24 [size =\"9234432\"]\n  22 -> 25 [size =\"9234432\"]\n  22 -> 26 [size =\"9234432\"]\n  23 [size=\"20291584\", alpha=\"0.19\", expect_size=\"10145792\"] \n  24 [size=\"43665408\", alpha=\"0.04\", expect_size=\"21832704\"] \n  24 -> 27 [size =\"21832704\"]\n  24 -> 29 [size =\"21832704\"]\n  25 [size=\"102766592\", alpha=\"0.13\", expect_size=\"51383296\"] \n  25 -> 27 [size =\"51383296\"]\n  25 -> 28 [size =\"51383296\"]\n  25 -> 29 [size =\"51383296\"]\n  26 [size=\"30517248\", alpha=\"0.11\", expect_size=\"15258624\"] \n  26 -> 28 [size =\"15258624\"]\n  27 [size=\"97521664\", alpha=\"0.13\", expect_size=\"48760832\"] \n  27 -> 33 [size =\"48760832\"]\n  28 [size=\"102647808\", alpha=\"0.11\", expect_size=\"51323904\"] \n  28 -> 31 [size =\"51323904\"]\n  28 -> 32 [size =\"51323904\"]\n  29 [size=\"98412544\", alpha=\"0.17\", expect_size=\"49206272\"] \n  29 -> 30 [size =\"49206272\"]\n  29 -> 31 [size =\"49206272\"]\n  29 -> 33 [size =\"49206272\"]\n  30 [size=\"62662656\", alpha=\"0.12\", expect_size=\"31331328\"] \n  30 -> 36 [size =\"31331328\"]\n  30 -> 37 [size =\"31331328\"]\n  31 [size=\"60942336\", alpha=\"0.06\", expect_size=\"30471168\"] \n  31 -> 34 [size =\"30471168\"]\n  31 -> 35 [size =\"30471168\"]\n  32 [size=\"52293632\", alpha=\"0.01\", expect_size=\"26146816\"] \n  32 -> 35 [size =\"26146816\"]\n  32 -> 37 [size =\"26146816\"]\n  33 [size=\"21606400\", alpha=\"0.18\", expect_size=\"10803200\"] \n  33 -> 36 [size =\"10803200\"]\n  34 [size=\"18825216\", alpha=\"0.17\", expect_size=\"9412608\"] \n  34 -> 40 [size =\"9412608\"]\n  35 [size=\"36425728\", alpha=\"0.05\", expect_size=\"18212864\"] \n  35 -> 38 [size =\"18212864\"]\n  35 -> 39 [size =\"18212864\"]\n  36 [size=\"97634304\", alpha=\"0.04\", expect_size=\"48817152\"] \n  36 -> 38 [size =\"48817152\"]\n  36 -> 40 [size =\"48817152\"]\n  37 [size=\"53579776\", alpha=\"0.11\", expect_size=\"26789888\"] \n  38 [size=\"21477376\", alpha=\"0.11\", expect_size=\"10738688\"] \n  38 -> 42 [size =\"10738688\"]\n  38 -> 43 [size =\"10738688\"]\n  39 [size=\"71241728\", alpha=\"0.11\", expect_size=\"35620864\"] \n  39 -> 41 [size =\"35620864\"]\n  40 [size=\"57452544\", alpha=\"0.00\", expect_size=\"28726272\"] \n  41 [size=\"17879040\", alpha=\"0.19\", expect_size=\"8939520\"] \n  41 -> 44 [size =\"8939520\"]\n  42 [size=\"47874048\", alpha=\"0.19\", expect_size=\"23937024\"] \n  42 -> 45 [size =\"23937024\"]\n  43 [size=\"50900992\", alpha=\"0.02\", expect_size=\"25450496\"] \n  43 -> 44 [size =\"25450496\"]\n  44 [size=\"40916992\", alpha=\"0.12\", expect_size=\"20458496\"] \n  45 [size=\"27074560\", alpha=\"0.01\", expect_size=\"13537280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113950720\", alpha=\"0.15\", expect_size=\"34185216\"] \n  1 -> 9 [size =\"34185216\"]\n  2 [size=\"49670827\", alpha=\"0.06\", expect_size=\"14901248\"] \n  2 -> 8 [size =\"14901248\"]\n  2 -> 10 [size =\"14901248\"]\n  2 -> 11 [size =\"14901248\"]\n  3 [size=\"167164587\", alpha=\"0.10\", expect_size=\"50149376\"] \n  3 -> 8 [size =\"50149376\"]\n  4 [size=\"96163840\", alpha=\"0.13\", expect_size=\"28849152\"] \n  4 -> 7 [size =\"28849152\"]\n  5 [size=\"77161813\", alpha=\"0.11\", expect_size=\"23148544\"] \n  5 -> 7 [size =\"23148544\"]\n  5 -> 10 [size =\"23148544\"]\n  6 [size=\"59781120\", alpha=\"0.19\", expect_size=\"17934336\"] \n  6 -> 7 [size =\"17934336\"]\n  6 -> 8 [size =\"17934336\"]\n  6 -> 11 [size =\"17934336\"]\n  7 [size=\"50121387\", alpha=\"0.05\", expect_size=\"15036416\"] \n  7 -> 14 [size =\"15036416\"]\n  8 [size=\"59671893\", alpha=\"0.17\", expect_size=\"17901568\"] \n  8 -> 13 [size =\"17901568\"]\n  8 -> 14 [size =\"17901568\"]\n  9 [size=\"124289707\", alpha=\"0.17\", expect_size=\"37286912\"] \n  9 -> 14 [size =\"37286912\"]\n  9 -> 16 [size =\"37286912\"]\n  9 -> 17 [size =\"37286912\"]\n  10 [size=\"36962987\", alpha=\"0.19\", expect_size=\"11088896\"] \n  10 -> 12 [size =\"11088896\"]\n  10 -> 16 [size =\"11088896\"]\n  11 [size=\"32559787\", alpha=\"0.05\", expect_size=\"9767936\"] \n  11 -> 13 [size =\"9767936\"]\n  11 -> 15 [size =\"9767936\"]\n  11 -> 16 [size =\"9767936\"]\n  12 [size=\"151453013\", alpha=\"0.12\", expect_size=\"45435904\"] \n  12 -> 19 [size =\"45435904\"]\n  12 -> 20 [size =\"45435904\"]\n  12 -> 22 [size =\"45435904\"]\n  12 -> 23 [size =\"45435904\"]\n  12 -> 24 [size =\"45435904\"]\n  13 [size=\"45096960\", alpha=\"0.11\", expect_size=\"13529088\"] \n  13 -> 18 [size =\"13529088\"]\n  13 -> 20 [size =\"13529088\"]\n  13 -> 24 [size =\"13529088\"]\n  14 [size=\"126863360\", alpha=\"0.05\", expect_size=\"38059008\"] \n  14 -> 18 [size =\"38059008\"]\n  14 -> 24 [size =\"38059008\"]\n  14 -> 25 [size =\"38059008\"]\n  15 [size=\"70171307\", alpha=\"0.20\", expect_size=\"21051392\"] \n  15 -> 18 [size =\"21051392\"]\n  15 -> 19 [size =\"21051392\"]\n  15 -> 20 [size =\"21051392\"]\n  15 -> 21 [size =\"21051392\"]\n  16 [size=\"154074453\", alpha=\"0.15\", expect_size=\"46222336\"] \n  16 -> 21 [size =\"46222336\"]\n  16 -> 25 [size =\"46222336\"]\n  17 [size=\"149183147\", alpha=\"0.07\", expect_size=\"44754944\"] \n  17 -> 23 [size =\"44754944\"]\n  18 [size=\"31249067\", alpha=\"0.14\", expect_size=\"9374720\"] \n  19 [size=\"164604587\", alpha=\"0.13\", expect_size=\"49381376\"] \n  19 -> 30 [size =\"49381376\"]\n  20 [size=\"139298133\", alpha=\"0.09\", expect_size=\"41789440\"] \n  21 [size=\"133864107\", alpha=\"0.17\", expect_size=\"40159232\"] \n  21 -> 26 [size =\"40159232\"]\n  22 [size=\"19104427\", alpha=\"0.09\", expect_size=\"5731328\"] \n  22 -> 27 [size =\"5731328\"]\n  22 -> 29 [size =\"5731328\"]\n  23 [size=\"111571627\", alpha=\"0.00\", expect_size=\"33471488\"] \n  23 -> 28 [size =\"33471488\"]\n  23 -> 30 [size =\"33471488\"]\n  24 [size=\"38901760\", alpha=\"0.01\", expect_size=\"11670528\"] \n  24 -> 30 [size =\"11670528\"]\n  25 [size=\"75475627\", alpha=\"0.10\", expect_size=\"22642688\"] \n  25 -> 26 [size =\"22642688\"]\n  25 -> 29 [size =\"22642688\"]\n  25 -> 30 [size =\"22642688\"]\n  26 [size=\"73314987\", alpha=\"0.04\", expect_size=\"21994496\"] \n  26 -> 31 [size =\"21994496\"]\n  26 -> 35 [size =\"21994496\"]\n  26 -> 38 [size =\"21994496\"]\n  27 [size=\"34577067\", alpha=\"0.03\", expect_size=\"10373120\"] \n  27 -> 34 [size =\"10373120\"]\n  27 -> 36 [size =\"10373120\"]\n  27 -> 37 [size =\"10373120\"]\n  28 [size=\"91845973\", alpha=\"0.06\", expect_size=\"27553792\"] \n  28 -> 33 [size =\"27553792\"]\n  28 -> 38 [size =\"27553792\"]\n  29 [size=\"47435093\", alpha=\"0.04\", expect_size=\"14230528\"] \n  29 -> 35 [size =\"14230528\"]\n  29 -> 36 [size =\"14230528\"]\n  29 -> 37 [size =\"14230528\"]\n  30 [size=\"148763307\", alpha=\"0.04\", expect_size=\"44628992\"] \n  30 -> 32 [size =\"44628992\"]\n  30 -> 37 [size =\"44628992\"]\n  31 [size=\"59938133\", alpha=\"0.05\", expect_size=\"17981440\"] \n  31 -> 39 [size =\"17981440\"]\n  32 [size=\"34717013\", alpha=\"0.04\", expect_size=\"10415104\"] \n  32 -> 39 [size =\"10415104\"]\n  33 [size=\"105308160\", alpha=\"0.06\", expect_size=\"31592448\"] \n  33 -> 39 [size =\"31592448\"]\n  33 -> 40 [size =\"31592448\"]\n  33 -> 41 [size =\"31592448\"]\n  34 [size=\"106820267\", alpha=\"0.02\", expect_size=\"32046080\"] \n  34 -> 41 [size =\"32046080\"]\n  35 [size=\"117944320\", alpha=\"0.05\", expect_size=\"35383296\"] \n  35 -> 41 [size =\"35383296\"]\n  36 [size=\"41079467\", alpha=\"0.05\", expect_size=\"12323840\"] \n  36 -> 40 [size =\"12323840\"]\n  37 [size=\"75820373\", alpha=\"0.02\", expect_size=\"22746112\"] \n  38 [size=\"97522347\", alpha=\"0.01\", expect_size=\"29256704\"] \n  38 -> 39 [size =\"29256704\"]\n  39 [size=\"148391253\", alpha=\"0.18\", expect_size=\"44517376\"] \n  39 -> 42 [size =\"44517376\"]\n  39 -> 45 [size =\"44517376\"]\n  40 [size=\"20664320\", alpha=\"0.11\", expect_size=\"6199296\"] \n  40 -> 43 [size =\"6199296\"]\n  40 -> 44 [size =\"6199296\"]\n  41 [size=\"48404480\", alpha=\"0.19\", expect_size=\"14521344\"] \n  42 [size=\"89408853\", alpha=\"0.07\", expect_size=\"26822656\"] \n  43 [size=\"120371200\", alpha=\"0.07\", expect_size=\"36111360\"] \n  44 [size=\"168912213\", alpha=\"0.10\", expect_size=\"50673664\"] \n  45 [size=\"29853013\", alpha=\"0.20\", expect_size=\"8955904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41123840\", alpha=\"0.01\", expect_size=\"16449536\"] \n  1 -> 4 [size =\"16449536\"]\n  1 -> 6 [size =\"16449536\"]\n  2 [size=\"86277120\", alpha=\"0.07\", expect_size=\"34510848\"] \n  2 -> 4 [size =\"34510848\"]\n  2 -> 5 [size =\"34510848\"]\n  2 -> 6 [size =\"34510848\"]\n  3 [size=\"101762560\", alpha=\"0.04\", expect_size=\"40705024\"] \n  3 -> 4 [size =\"40705024\"]\n  3 -> 6 [size =\"40705024\"]\n  4 [size=\"111260160\", alpha=\"0.02\", expect_size=\"44504064\"] \n  4 -> 8 [size =\"44504064\"]\n  5 [size=\"108377600\", alpha=\"0.04\", expect_size=\"43351040\"] \n  5 -> 7 [size =\"43351040\"]\n  5 -> 8 [size =\"43351040\"]\n  6 [size=\"121863680\", alpha=\"0.13\", expect_size=\"48745472\"] \n  6 -> 8 [size =\"48745472\"]\n  7 [size=\"56570880\", alpha=\"0.17\", expect_size=\"22628352\"] \n  7 -> 9 [size =\"22628352\"]\n  7 -> 10 [size =\"22628352\"]\n  8 [size=\"92275200\", alpha=\"0.14\", expect_size=\"36910080\"] \n  8 -> 9 [size =\"36910080\"]\n  8 -> 10 [size =\"36910080\"]\n  9 [size=\"42984960\", alpha=\"0.18\", expect_size=\"17193984\"] \n  9 -> 11 [size =\"17193984\"]\n  9 -> 12 [size =\"17193984\"]\n  10 [size=\"93411840\", alpha=\"0.02\", expect_size=\"37364736\"] \n  11 [size=\"28352000\", alpha=\"0.17\", expect_size=\"11340800\"] \n  11 -> 13 [size =\"11340800\"]\n  11 -> 14 [size =\"11340800\"]\n  11 -> 15 [size =\"11340800\"]\n  12 [size=\"33948160\", alpha=\"0.05\", expect_size=\"13579264\"] \n  12 -> 14 [size =\"13579264\"]\n  12 -> 15 [size =\"13579264\"]\n  13 [size=\"77066240\", alpha=\"0.07\", expect_size=\"30826496\"] \n  13 -> 16 [size =\"30826496\"]\n  13 -> 17 [size =\"30826496\"]\n  14 [size=\"102197760\", alpha=\"0.16\", expect_size=\"40879104\"] \n  15 [size=\"114293760\", alpha=\"0.06\", expect_size=\"45717504\"] \n  16 [size=\"19235840\", alpha=\"0.16\", expect_size=\"7694336\"] \n  16 -> 18 [size =\"7694336\"]\n  17 [size=\"93002240\", alpha=\"0.08\", expect_size=\"37200896\"] \n  17 -> 18 [size =\"37200896\"]\n  17 -> 19 [size =\"37200896\"]\n  18 [size=\"75681280\", alpha=\"0.01\", expect_size=\"30272512\"] \n  18 -> 20 [size =\"30272512\"]\n  18 -> 21 [size =\"30272512\"]\n  19 [size=\"37524480\", alpha=\"0.01\", expect_size=\"15009792\"] \n  19 -> 20 [size =\"15009792\"]\n  19 -> 21 [size =\"15009792\"]\n  20 [size=\"28531200\", alpha=\"0.09\", expect_size=\"11412480\"] \n  20 -> 22 [size =\"11412480\"]\n  20 -> 23 [size =\"11412480\"]\n  21 [size=\"38341120\", alpha=\"0.00\", expect_size=\"15336448\"] \n  21 -> 22 [size =\"15336448\"]\n  21 -> 23 [size =\"15336448\"]\n  22 [size=\"21404160\", alpha=\"0.05\", expect_size=\"8561664\"] \n  22 -> 25 [size =\"8561664\"]\n  23 [size=\"53212160\", alpha=\"0.04\", expect_size=\"21284864\"] \n  23 -> 24 [size =\"21284864\"]\n  23 -> 25 [size =\"21284864\"]\n  24 [size=\"95040000\", alpha=\"0.00\", expect_size=\"38016000\"] \n  24 -> 26 [size =\"38016000\"]\n  24 -> 27 [size =\"38016000\"]\n  25 [size=\"69580800\", alpha=\"0.12\", expect_size=\"27832320\"] \n  25 -> 26 [size =\"27832320\"]\n  25 -> 27 [size =\"27832320\"]\n  26 [size=\"104806400\", alpha=\"0.03\", expect_size=\"41922560\"] \n  26 -> 28 [size =\"41922560\"]\n  26 -> 29 [size =\"41922560\"]\n  26 -> 30 [size =\"41922560\"]\n  27 [size=\"78832640\", alpha=\"0.01\", expect_size=\"31533056\"] \n  27 -> 29 [size =\"31533056\"]\n  28 [size=\"125992960\", alpha=\"0.12\", expect_size=\"50397184\"] \n  28 -> 33 [size =\"50397184\"]\n  29 [size=\"129704960\", alpha=\"0.08\", expect_size=\"51881984\"] \n  29 -> 33 [size =\"51881984\"]\n  30 [size=\"19998720\", alpha=\"0.18\", expect_size=\"7999488\"] \n  30 -> 31 [size =\"7999488\"]\n  30 -> 32 [size =\"7999488\"]\n  30 -> 33 [size =\"7999488\"]\n  31 [size=\"70353920\", alpha=\"0.11\", expect_size=\"28141568\"] \n  31 -> 34 [size =\"28141568\"]\n  32 [size=\"72860160\", alpha=\"0.07\", expect_size=\"29144064\"] \n  32 -> 35 [size =\"29144064\"]\n  33 [size=\"100684800\", alpha=\"0.14\", expect_size=\"40273920\"] \n  33 -> 35 [size =\"40273920\"]\n  34 [size=\"124526080\", alpha=\"0.16\", expect_size=\"49810432\"] \n  34 -> 37 [size =\"49810432\"]\n  35 [size=\"124567040\", alpha=\"0.16\", expect_size=\"49826816\"] \n  35 -> 36 [size =\"49826816\"]\n  36 [size=\"78115840\", alpha=\"0.16\", expect_size=\"31246336\"] \n  36 -> 38 [size =\"31246336\"]\n  37 [size=\"93934080\", alpha=\"0.10\", expect_size=\"37573632\"] \n  37 -> 38 [size =\"37573632\"]\n  37 -> 39 [size =\"37573632\"]\n  38 [size=\"97520640\", alpha=\"0.14\", expect_size=\"39008256\"] \n  38 -> 40 [size =\"39008256\"]\n  39 [size=\"50076160\", alpha=\"0.03\", expect_size=\"20030464\"] \n  39 -> 40 [size =\"20030464\"]\n  39 -> 41 [size =\"20030464\"]\n  40 [size=\"99448320\", alpha=\"0.14\", expect_size=\"39779328\"] \n  40 -> 42 [size =\"39779328\"]\n  41 [size=\"90009600\", alpha=\"0.09\", expect_size=\"36003840\"] \n  41 -> 42 [size =\"36003840\"]\n  41 -> 43 [size =\"36003840\"]\n  42 [size=\"37007360\", alpha=\"0.06\", expect_size=\"14802944\"] \n  42 -> 44 [size =\"14802944\"]\n  42 -> 45 [size =\"14802944\"]\n  43 [size=\"79249920\", alpha=\"0.10\", expect_size=\"31699968\"] \n  43 -> 44 [size =\"31699968\"]\n  43 -> 45 [size =\"31699968\"]\n  44 [size=\"44766720\", alpha=\"0.07\", expect_size=\"17906688\"] \n  45 [size=\"22648320\", alpha=\"0.15\", expect_size=\"9059328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54538240\", alpha=\"0.06\", expect_size=\"21815296\"] \n  1 -> 3 [size =\"21815296\"]\n  1 -> 4 [size =\"21815296\"]\n  1 -> 5 [size =\"21815296\"]\n  2 [size=\"58813440\", alpha=\"0.19\", expect_size=\"23525376\"] \n  2 -> 3 [size =\"23525376\"]\n  2 -> 4 [size =\"23525376\"]\n  2 -> 5 [size =\"23525376\"]\n  3 [size=\"56611840\", alpha=\"0.17\", expect_size=\"22644736\"] \n  4 [size=\"93160960\", alpha=\"0.08\", expect_size=\"37264384\"] \n  4 -> 8 [size =\"37264384\"]\n  5 [size=\"127393280\", alpha=\"0.10\", expect_size=\"50957312\"] \n  5 -> 6 [size =\"50957312\"]\n  5 -> 7 [size =\"50957312\"]\n  6 [size=\"104227840\", alpha=\"0.15\", expect_size=\"41691136\"] \n  6 -> 9 [size =\"41691136\"]\n  7 [size=\"102423040\", alpha=\"0.18\", expect_size=\"40969216\"] \n  7 -> 9 [size =\"40969216\"]\n  7 -> 10 [size =\"40969216\"]\n  8 [size=\"48089600\", alpha=\"0.16\", expect_size=\"19235840\"] \n  8 -> 10 [size =\"19235840\"]\n  9 [size=\"86438400\", alpha=\"0.09\", expect_size=\"34575360\"] \n  9 -> 11 [size =\"34575360\"]\n  9 -> 12 [size =\"34575360\"]\n  9 -> 13 [size =\"34575360\"]\n  10 [size=\"49866240\", alpha=\"0.12\", expect_size=\"19946496\"] \n  10 -> 11 [size =\"19946496\"]\n  10 -> 12 [size =\"19946496\"]\n  11 [size=\"25789440\", alpha=\"0.13\", expect_size=\"10315776\"] \n  11 -> 15 [size =\"10315776\"]\n  12 [size=\"58652160\", alpha=\"0.11\", expect_size=\"23460864\"] \n  12 -> 14 [size =\"23460864\"]\n  12 -> 15 [size =\"23460864\"]\n  13 [size=\"54031360\", alpha=\"0.09\", expect_size=\"21612544\"] \n  13 -> 14 [size =\"21612544\"]\n  14 [size=\"34396160\", alpha=\"0.18\", expect_size=\"13758464\"] \n  14 -> 16 [size =\"13758464\"]\n  15 [size=\"82700800\", alpha=\"0.12\", expect_size=\"33080320\"] \n  15 -> 16 [size =\"33080320\"]\n  15 -> 17 [size =\"33080320\"]\n  16 [size=\"25840640\", alpha=\"0.19\", expect_size=\"10336256\"] \n  16 -> 19 [size =\"10336256\"]\n  16 -> 20 [size =\"10336256\"]\n  17 [size=\"114611200\", alpha=\"0.15\", expect_size=\"45844480\"] \n  17 -> 18 [size =\"45844480\"]\n  17 -> 20 [size =\"45844480\"]\n  18 [size=\"103856640\", alpha=\"0.05\", expect_size=\"41542656\"] \n  18 -> 21 [size =\"41542656\"]\n  18 -> 23 [size =\"41542656\"]\n  19 [size=\"81410560\", alpha=\"0.13\", expect_size=\"32564224\"] \n  19 -> 21 [size =\"32564224\"]\n  20 [size=\"15354880\", alpha=\"0.18\", expect_size=\"6141952\"] \n  20 -> 22 [size =\"6141952\"]\n  21 [size=\"87505920\", alpha=\"0.10\", expect_size=\"35002368\"] \n  21 -> 24 [size =\"35002368\"]\n  21 -> 26 [size =\"35002368\"]\n  22 [size=\"47818240\", alpha=\"0.10\", expect_size=\"19127296\"] \n  22 -> 25 [size =\"19127296\"]\n  22 -> 26 [size =\"19127296\"]\n  23 [size=\"112983040\", alpha=\"0.17\", expect_size=\"45193216\"] \n  23 -> 24 [size =\"45193216\"]\n  24 [size=\"46128640\", alpha=\"0.18\", expect_size=\"18451456\"] \n  24 -> 27 [size =\"18451456\"]\n  24 -> 28 [size =\"18451456\"]\n  25 [size=\"36579840\", alpha=\"0.19\", expect_size=\"14631936\"] \n  25 -> 27 [size =\"14631936\"]\n  25 -> 28 [size =\"14631936\"]\n  26 [size=\"106444800\", alpha=\"0.14\", expect_size=\"42577920\"] \n  27 [size=\"101416960\", alpha=\"0.05\", expect_size=\"40566784\"] \n  27 -> 29 [size =\"40566784\"]\n  27 -> 30 [size =\"40566784\"]\n  27 -> 31 [size =\"40566784\"]\n  28 [size=\"69941760\", alpha=\"0.02\", expect_size=\"27976704\"] \n  28 -> 29 [size =\"27976704\"]\n  28 -> 30 [size =\"27976704\"]\n  29 [size=\"100764160\", alpha=\"0.11\", expect_size=\"40305664\"] \n  29 -> 33 [size =\"40305664\"]\n  29 -> 34 [size =\"40305664\"]\n  30 [size=\"56880640\", alpha=\"0.07\", expect_size=\"22752256\"] \n  30 -> 34 [size =\"22752256\"]\n  31 [size=\"43722240\", alpha=\"0.04\", expect_size=\"17488896\"] \n  31 -> 32 [size =\"17488896\"]\n  32 [size=\"102722560\", alpha=\"0.10\", expect_size=\"41089024\"] \n  32 -> 36 [size =\"41089024\"]\n  32 -> 37 [size =\"41089024\"]\n  33 [size=\"43655680\", alpha=\"0.02\", expect_size=\"17462272\"] \n  33 -> 35 [size =\"17462272\"]\n  33 -> 36 [size =\"17462272\"]\n  33 -> 37 [size =\"17462272\"]\n  34 [size=\"27993600\", alpha=\"0.18\", expect_size=\"11197440\"] \n  34 -> 35 [size =\"11197440\"]\n  35 [size=\"17822720\", alpha=\"0.06\", expect_size=\"7129088\"] \n  35 -> 38 [size =\"7129088\"]\n  36 [size=\"127436800\", alpha=\"0.16\", expect_size=\"50974720\"] \n  36 -> 38 [size =\"50974720\"]\n  36 -> 39 [size =\"50974720\"]\n  36 -> 40 [size =\"50974720\"]\n  37 [size=\"94062080\", alpha=\"0.03\", expect_size=\"37624832\"] \n  38 [size=\"124979200\", alpha=\"0.05\", expect_size=\"49991680\"] \n  38 -> 41 [size =\"49991680\"]\n  38 -> 42 [size =\"49991680\"]\n  39 [size=\"19240960\", alpha=\"0.19\", expect_size=\"7696384\"] \n  40 [size=\"86113280\", alpha=\"0.14\", expect_size=\"34445312\"] \n  41 [size=\"126423040\", alpha=\"0.01\", expect_size=\"50569216\"] \n  41 -> 44 [size =\"50569216\"]\n  42 [size=\"34890240\", alpha=\"0.14\", expect_size=\"13956096\"] \n  42 -> 43 [size =\"13956096\"]\n  42 -> 44 [size =\"13956096\"]\n  42 -> 45 [size =\"13956096\"]\n  43 [size=\"92989440\", alpha=\"0.04\", expect_size=\"37195776\"] \n  44 [size=\"105717760\", alpha=\"0.19\", expect_size=\"42287104\"] \n  45 [size=\"94364160\", alpha=\"0.18\", expect_size=\"37745664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106973867\", alpha=\"0.03\", expect_size=\"32092160\"] \n  1 -> 6 [size =\"32092160\"]\n  1 -> 7 [size =\"32092160\"]\n  1 -> 9 [size =\"32092160\"]\n  1 -> 11 [size =\"32092160\"]\n  2 [size=\"85415253\", alpha=\"0.08\", expect_size=\"25624576\"] \n  2 -> 6 [size =\"25624576\"]\n  2 -> 10 [size =\"25624576\"]\n  3 [size=\"31668907\", alpha=\"0.08\", expect_size=\"9500672\"] \n  3 -> 6 [size =\"9500672\"]\n  3 -> 11 [size =\"9500672\"]\n  4 [size=\"86408533\", alpha=\"0.11\", expect_size=\"25922560\"] \n  4 -> 7 [size =\"25922560\"]\n  4 -> 8 [size =\"25922560\"]\n  4 -> 10 [size =\"25922560\"]\n  5 [size=\"95808853\", alpha=\"0.12\", expect_size=\"28742656\"] \n  5 -> 7 [size =\"28742656\"]\n  5 -> 10 [size =\"28742656\"]\n  5 -> 11 [size =\"28742656\"]\n  6 [size=\"149862400\", alpha=\"0.02\", expect_size=\"44958720\"] \n  6 -> 16 [size =\"44958720\"]\n  7 [size=\"77195947\", alpha=\"0.12\", expect_size=\"23158784\"] \n  7 -> 14 [size =\"23158784\"]\n  7 -> 16 [size =\"23158784\"]\n  8 [size=\"160546133\", alpha=\"0.05\", expect_size=\"48163840\"] \n  8 -> 14 [size =\"48163840\"]\n  8 -> 15 [size =\"48163840\"]\n  8 -> 16 [size =\"48163840\"]\n  9 [size=\"50295467\", alpha=\"0.02\", expect_size=\"15088640\"] \n  9 -> 14 [size =\"15088640\"]\n  9 -> 15 [size =\"15088640\"]\n  10 [size=\"27398827\", alpha=\"0.04\", expect_size=\"8219648\"] \n  10 -> 12 [size =\"8219648\"]\n  10 -> 13 [size =\"8219648\"]\n  11 [size=\"163580587\", alpha=\"0.11\", expect_size=\"49074176\"] \n  12 [size=\"32300373\", alpha=\"0.07\", expect_size=\"9690112\"] \n  12 -> 19 [size =\"9690112\"]\n  13 [size=\"92115627\", alpha=\"0.10\", expect_size=\"27634688\"] \n  13 -> 18 [size =\"27634688\"]\n  14 [size=\"152436053\", alpha=\"0.12\", expect_size=\"45730816\"] \n  14 -> 17 [size =\"45730816\"]\n  14 -> 20 [size =\"45730816\"]\n  15 [size=\"79493120\", alpha=\"0.19\", expect_size=\"23847936\"] \n  15 -> 20 [size =\"23847936\"]\n  15 -> 20 [size =\"23847936\"]\n  16 [size=\"18991787\", alpha=\"0.15\", expect_size=\"5697536\"] \n  16 -> 17 [size =\"5697536\"]\n  16 -> 19 [size =\"5697536\"]\n  16 -> 21 [size =\"5697536\"]\n  17 [size=\"35126613\", alpha=\"0.07\", expect_size=\"10537984\"] \n  17 -> 27 [size =\"10537984\"]\n  18 [size=\"129631573\", alpha=\"0.05\", expect_size=\"38889472\"] \n  18 -> 24 [size =\"38889472\"]\n  19 [size=\"165850453\", alpha=\"0.11\", expect_size=\"49755136\"] \n  19 -> 22 [size =\"49755136\"]\n  19 -> 23 [size =\"49755136\"]\n  19 -> 25 [size =\"49755136\"]\n  19 -> 26 [size =\"49755136\"]\n  20 [size=\"21514240\", alpha=\"0.04\", expect_size=\"6454272\"] \n  20 -> 22 [size =\"6454272\"]\n  20 -> 26 [size =\"6454272\"]\n  21 [size=\"54654293\", alpha=\"0.08\", expect_size=\"16396288\"] \n  22 [size=\"141646507\", alpha=\"0.02\", expect_size=\"42493952\"] \n  22 -> 28 [size =\"42493952\"]\n  22 -> 33 [size =\"42493952\"]\n  23 [size=\"38519467\", alpha=\"0.17\", expect_size=\"11555840\"] \n  23 -> 31 [size =\"11555840\"]\n  23 -> 32 [size =\"11555840\"]\n  23 -> 33 [size =\"11555840\"]\n  24 [size=\"117241173\", alpha=\"0.01\", expect_size=\"35172352\"] \n  24 -> 30 [size =\"35172352\"]\n  24 -> 31 [size =\"35172352\"]\n  24 -> 32 [size =\"35172352\"]\n  25 [size=\"54159360\", alpha=\"0.14\", expect_size=\"16247808\"] \n  26 [size=\"47967573\", alpha=\"0.05\", expect_size=\"14390272\"] \n  26 -> 29 [size =\"14390272\"]\n  26 -> 33 [size =\"14390272\"]\n  27 [size=\"165454507\", alpha=\"0.03\", expect_size=\"49636352\"] \n  27 -> 32 [size =\"49636352\"]\n  28 [size=\"60781227\", alpha=\"0.20\", expect_size=\"18234368\"] \n  29 [size=\"99471360\", alpha=\"0.00\", expect_size=\"29841408\"] \n  29 -> 38 [size =\"29841408\"]\n  30 [size=\"25692160\", alpha=\"0.02\", expect_size=\"7707648\"] \n  30 -> 34 [size =\"7707648\"]\n  30 -> 38 [size =\"7707648\"]\n  31 [size=\"56033280\", alpha=\"0.03\", expect_size=\"16809984\"] \n  31 -> 36 [size =\"16809984\"]\n  32 [size=\"122709333\", alpha=\"0.05\", expect_size=\"36812800\"] \n  32 -> 34 [size =\"36812800\"]\n  32 -> 35 [size =\"36812800\"]\n  32 -> 36 [size =\"36812800\"]\n  32 -> 38 [size =\"36812800\"]\n  33 [size=\"136369493\", alpha=\"0.17\", expect_size=\"40910848\"] \n  33 -> 34 [size =\"40910848\"]\n  33 -> 36 [size =\"40910848\"]\n  33 -> 37 [size =\"40910848\"]\n  34 [size=\"111206400\", alpha=\"0.06\", expect_size=\"33361920\"] \n  34 -> 39 [size =\"33361920\"]\n  34 -> 40 [size =\"33361920\"]\n  34 -> 42 [size =\"33361920\"]\n  34 -> 43 [size =\"33361920\"]\n  35 [size=\"116159147\", alpha=\"0.02\", expect_size=\"34847744\"] \n  36 [size=\"72270507\", alpha=\"0.19\", expect_size=\"21681152\"] \n  36 -> 41 [size =\"21681152\"]\n  37 [size=\"111933440\", alpha=\"0.19\", expect_size=\"33580032\"] \n  38 [size=\"137577813\", alpha=\"0.12\", expect_size=\"41273344\"] \n  38 -> 43 [size =\"41273344\"]\n  39 [size=\"134993920\", alpha=\"0.05\", expect_size=\"40498176\"] \n  39 -> 44 [size =\"40498176\"]\n  40 [size=\"136997547\", alpha=\"0.18\", expect_size=\"41099264\"] \n  41 [size=\"153514667\", alpha=\"0.15\", expect_size=\"46054400\"] \n  42 [size=\"173366613\", alpha=\"0.09\", expect_size=\"52009984\"] \n  43 [size=\"54091093\", alpha=\"0.05\", expect_size=\"16227328\"] \n  43 -> 45 [size =\"16227328\"]\n  44 [size=\"27617280\", alpha=\"0.14\", expect_size=\"8285184\"] \n  45 [size=\"71618560\", alpha=\"0.07\", expect_size=\"21485568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34173440\", alpha=\"0.08\", expect_size=\"13669376\"] \n  1 -> 2 [size =\"13669376\"]\n  2 [size=\"82749440\", alpha=\"0.06\", expect_size=\"33099776\"] \n  2 -> 3 [size =\"33099776\"]\n  3 [size=\"45053440\", alpha=\"0.12\", expect_size=\"18021376\"] \n  3 -> 4 [size =\"18021376\"]\n  4 [size=\"28160000\", alpha=\"0.17\", expect_size=\"11264000\"] \n  4 -> 5 [size =\"11264000\"]\n  5 [size=\"30638080\", alpha=\"0.12\", expect_size=\"12255232\"] \n  5 -> 6 [size =\"12255232\"]\n  6 [size=\"57428480\", alpha=\"0.19\", expect_size=\"22971392\"] \n  6 -> 7 [size =\"22971392\"]\n  7 [size=\"19957760\", alpha=\"0.05\", expect_size=\"7983104\"] \n  7 -> 8 [size =\"7983104\"]\n  8 [size=\"67404800\", alpha=\"0.14\", expect_size=\"26961920\"] \n  8 -> 9 [size =\"26961920\"]\n  9 [size=\"81612800\", alpha=\"0.18\", expect_size=\"32645120\"] \n  9 -> 10 [size =\"32645120\"]\n  10 [size=\"79464960\", alpha=\"0.06\", expect_size=\"31785984\"] \n  10 -> 11 [size =\"31785984\"]\n  11 [size=\"64934400\", alpha=\"0.14\", expect_size=\"25973760\"] \n  11 -> 12 [size =\"25973760\"]\n  12 [size=\"111746560\", alpha=\"0.19\", expect_size=\"44698624\"] \n  12 -> 13 [size =\"44698624\"]\n  13 [size=\"31539200\", alpha=\"0.07\", expect_size=\"12615680\"] \n  13 -> 14 [size =\"12615680\"]\n  14 [size=\"101043200\", alpha=\"0.00\", expect_size=\"40417280\"] \n  14 -> 15 [size =\"40417280\"]\n  15 [size=\"81797120\", alpha=\"0.19\", expect_size=\"32718848\"] \n  15 -> 16 [size =\"32718848\"]\n  16 [size=\"36165120\", alpha=\"0.11\", expect_size=\"14466048\"] \n  16 -> 17 [size =\"14466048\"]\n  17 [size=\"28093440\", alpha=\"0.04\", expect_size=\"11237376\"] \n  17 -> 18 [size =\"11237376\"]\n  18 [size=\"59374080\", alpha=\"0.04\", expect_size=\"23749632\"] \n  18 -> 19 [size =\"23749632\"]\n  19 [size=\"23956480\", alpha=\"0.00\", expect_size=\"9582592\"] \n  19 -> 20 [size =\"9582592\"]\n  20 [size=\"127183360\", alpha=\"0.13\", expect_size=\"50873344\"] \n  20 -> 21 [size =\"50873344\"]\n  21 [size=\"43143680\", alpha=\"0.09\", expect_size=\"17257472\"] \n  21 -> 22 [size =\"17257472\"]\n  22 [size=\"127234560\", alpha=\"0.17\", expect_size=\"50893824\"] \n  22 -> 23 [size =\"50893824\"]\n  23 [size=\"123287040\", alpha=\"0.11\", expect_size=\"49314816\"] \n  23 -> 24 [size =\"49314816\"]\n  24 [size=\"44375040\", alpha=\"0.07\", expect_size=\"17750016\"] \n  24 -> 25 [size =\"17750016\"]\n  25 [size=\"44536320\", alpha=\"0.06\", expect_size=\"17814528\"] \n  25 -> 26 [size =\"17814528\"]\n  26 [size=\"38389760\", alpha=\"0.12\", expect_size=\"15355904\"] \n  26 -> 27 [size =\"15355904\"]\n  27 [size=\"102336000\", alpha=\"0.00\", expect_size=\"40934400\"] \n  27 -> 28 [size =\"40934400\"]\n  28 [size=\"124595200\", alpha=\"0.17\", expect_size=\"49838080\"] \n  28 -> 29 [size =\"49838080\"]\n  29 [size=\"28354560\", alpha=\"0.06\", expect_size=\"11341824\"] \n  29 -> 30 [size =\"11341824\"]\n  30 [size=\"29009920\", alpha=\"0.05\", expect_size=\"11603968\"] \n  30 -> 31 [size =\"11603968\"]\n  31 [size=\"104755200\", alpha=\"0.14\", expect_size=\"41902080\"] \n  31 -> 32 [size =\"41902080\"]\n  32 [size=\"40729600\", alpha=\"0.19\", expect_size=\"16291840\"] \n  32 -> 33 [size =\"16291840\"]\n  33 [size=\"24537600\", alpha=\"0.08\", expect_size=\"9815040\"] \n  33 -> 34 [size =\"9815040\"]\n  34 [size=\"88128000\", alpha=\"0.11\", expect_size=\"35251200\"] \n  34 -> 35 [size =\"35251200\"]\n  35 [size=\"128588800\", alpha=\"0.06\", expect_size=\"51435520\"] \n  35 -> 36 [size =\"51435520\"]\n  36 [size=\"45491200\", alpha=\"0.05\", expect_size=\"18196480\"] \n  36 -> 37 [size =\"18196480\"]\n  37 [size=\"119083520\", alpha=\"0.06\", expect_size=\"47633408\"] \n  37 -> 38 [size =\"47633408\"]\n  38 [size=\"120286720\", alpha=\"0.16\", expect_size=\"48114688\"] \n  38 -> 39 [size =\"48114688\"]\n  39 [size=\"103400960\", alpha=\"0.07\", expect_size=\"41360384\"] \n  39 -> 40 [size =\"41360384\"]\n  40 [size=\"18972160\", alpha=\"0.17\", expect_size=\"7588864\"] \n  40 -> 41 [size =\"7588864\"]\n  41 [size=\"51320320\", alpha=\"0.13\", expect_size=\"20528128\"] \n  41 -> 42 [size =\"20528128\"]\n  42 [size=\"16345600\", alpha=\"0.08\", expect_size=\"6538240\"] \n  42 -> 43 [size =\"6538240\"]\n  43 [size=\"130654720\", alpha=\"0.01\", expect_size=\"52261888\"] \n  43 -> 44 [size =\"52261888\"]\n  44 [size=\"58782720\", alpha=\"0.00\", expect_size=\"23513088\"] \n  44 -> 45 [size =\"23513088\"]\n  45 [size=\"124597760\", alpha=\"0.05\", expect_size=\"49839104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51097600\", alpha=\"0.16\", expect_size=\"15329280\"] \n  1 -> 4 [size =\"15329280\"]\n  2 [size=\"130351787\", alpha=\"0.02\", expect_size=\"39105536\"] \n  2 -> 3 [size =\"39105536\"]\n  2 -> 4 [size =\"39105536\"]\n  3 [size=\"58801493\", alpha=\"0.09\", expect_size=\"17640448\"] \n  3 -> 5 [size =\"17640448\"]\n  3 -> 7 [size =\"17640448\"]\n  4 [size=\"43298133\", alpha=\"0.17\", expect_size=\"12989440\"] \n  4 -> 5 [size =\"12989440\"]\n  4 -> 6 [size =\"12989440\"]\n  4 -> 7 [size =\"12989440\"]\n  5 [size=\"76588373\", alpha=\"0.03\", expect_size=\"22976512\"] \n  5 -> 9 [size =\"22976512\"]\n  6 [size=\"156644693\", alpha=\"0.15\", expect_size=\"46993408\"] \n  6 -> 8 [size =\"46993408\"]\n  6 -> 9 [size =\"46993408\"]\n  6 -> 10 [size =\"46993408\"]\n  7 [size=\"115268267\", alpha=\"0.01\", expect_size=\"34580480\"] \n  7 -> 8 [size =\"34580480\"]\n  7 -> 9 [size =\"34580480\"]\n  8 [size=\"50281813\", alpha=\"0.18\", expect_size=\"15084544\"] \n  8 -> 13 [size =\"15084544\"]\n  9 [size=\"20688213\", alpha=\"0.18\", expect_size=\"6206464\"] \n  9 -> 11 [size =\"6206464\"]\n  9 -> 12 [size =\"6206464\"]\n  10 [size=\"153678507\", alpha=\"0.06\", expect_size=\"46103552\"] \n  10 -> 11 [size =\"46103552\"]\n  10 -> 12 [size =\"46103552\"]\n  11 [size=\"144138240\", alpha=\"0.11\", expect_size=\"43241472\"] \n  11 -> 14 [size =\"43241472\"]\n  11 -> 15 [size =\"43241472\"]\n  12 [size=\"116531200\", alpha=\"0.15\", expect_size=\"34959360\"] \n  12 -> 16 [size =\"34959360\"]\n  13 [size=\"132065280\", alpha=\"0.19\", expect_size=\"39619584\"] \n  13 -> 14 [size =\"39619584\"]\n  14 [size=\"44124160\", alpha=\"0.18\", expect_size=\"13237248\"] \n  14 -> 17 [size =\"13237248\"]\n  15 [size=\"21466453\", alpha=\"0.03\", expect_size=\"6439936\"] \n  15 -> 17 [size =\"6439936\"]\n  16 [size=\"43246933\", alpha=\"0.00\", expect_size=\"12974080\"] \n  16 -> 17 [size =\"12974080\"]\n  16 -> 18 [size =\"12974080\"]\n  17 [size=\"157719893\", alpha=\"0.05\", expect_size=\"47315968\"] \n  17 -> 19 [size =\"47315968\"]\n  18 [size=\"163669333\", alpha=\"0.17\", expect_size=\"49100800\"] \n  18 -> 20 [size =\"49100800\"]\n  19 [size=\"151138987\", alpha=\"0.10\", expect_size=\"45341696\"] \n  19 -> 21 [size =\"45341696\"]\n  19 -> 22 [size =\"45341696\"]\n  20 [size=\"138806613\", alpha=\"0.12\", expect_size=\"41641984\"] \n  20 -> 21 [size =\"41641984\"]\n  20 -> 23 [size =\"41641984\"]\n  21 [size=\"29965653\", alpha=\"0.18\", expect_size=\"8989696\"] \n  21 -> 24 [size =\"8989696\"]\n  22 [size=\"117845333\", alpha=\"0.18\", expect_size=\"35353600\"] \n  22 -> 24 [size =\"35353600\"]\n  23 [size=\"76619093\", alpha=\"0.04\", expect_size=\"22985728\"] \n  23 -> 25 [size =\"22985728\"]\n  24 [size=\"68614827\", alpha=\"0.13\", expect_size=\"20584448\"] \n  24 -> 27 [size =\"20584448\"]\n  25 [size=\"55412053\", alpha=\"0.09\", expect_size=\"16623616\"] \n  25 -> 26 [size =\"16623616\"]\n  25 -> 27 [size =\"16623616\"]\n  25 -> 28 [size =\"16623616\"]\n  26 [size=\"77789867\", alpha=\"0.03\", expect_size=\"23336960\"] \n  26 -> 29 [size =\"23336960\"]\n  27 [size=\"81602560\", alpha=\"0.10\", expect_size=\"24480768\"] \n  27 -> 29 [size =\"24480768\"]\n  27 -> 30 [size =\"24480768\"]\n  27 -> 31 [size =\"24480768\"]\n  28 [size=\"117691733\", alpha=\"0.00\", expect_size=\"35307520\"] \n  28 -> 30 [size =\"35307520\"]\n  28 -> 30 [size =\"35307520\"]\n  28 -> 31 [size =\"35307520\"]\n  29 [size=\"93248853\", alpha=\"0.11\", expect_size=\"27974656\"] \n  30 [size=\"171786240\", alpha=\"0.20\", expect_size=\"51535872\"] \n  30 -> 32 [size =\"51535872\"]\n  31 [size=\"106550613\", alpha=\"0.04\", expect_size=\"31965184\"] \n  31 -> 33 [size =\"31965184\"]\n  32 [size=\"88459947\", alpha=\"0.02\", expect_size=\"26537984\"] \n  32 -> 34 [size =\"26537984\"]\n  32 -> 35 [size =\"26537984\"]\n  33 [size=\"73103360\", alpha=\"0.13\", expect_size=\"21931008\"] \n  33 -> 35 [size =\"21931008\"]\n  34 [size=\"101806080\", alpha=\"0.08\", expect_size=\"30541824\"] \n  34 -> 37 [size =\"30541824\"]\n  34 -> 38 [size =\"30541824\"]\n  35 [size=\"43110400\", alpha=\"0.04\", expect_size=\"12933120\"] \n  35 -> 36 [size =\"12933120\"]\n  35 -> 37 [size =\"12933120\"]\n  36 [size=\"113411413\", alpha=\"0.03\", expect_size=\"34023424\"] \n  37 [size=\"137308160\", alpha=\"0.20\", expect_size=\"41192448\"] \n  37 -> 39 [size =\"41192448\"]\n  37 -> 40 [size =\"41192448\"]\n  38 [size=\"55306240\", alpha=\"0.15\", expect_size=\"16591872\"] \n  38 -> 39 [size =\"16591872\"]\n  39 [size=\"57501013\", alpha=\"0.07\", expect_size=\"17250304\"] \n  39 -> 41 [size =\"17250304\"]\n  39 -> 42 [size =\"17250304\"]\n  40 [size=\"147107840\", alpha=\"0.15\", expect_size=\"44132352\"] \n  40 -> 41 [size =\"44132352\"]\n  40 -> 42 [size =\"44132352\"]\n  41 [size=\"145759573\", alpha=\"0.04\", expect_size=\"43727872\"] \n  41 -> 43 [size =\"43727872\"]\n  41 -> 44 [size =\"43727872\"]\n  42 [size=\"22824960\", alpha=\"0.06\", expect_size=\"6847488\"] \n  42 -> 45 [size =\"6847488\"]\n  43 [size=\"34655573\", alpha=\"0.16\", expect_size=\"10396672\"] \n  44 [size=\"138550613\", alpha=\"0.12\", expect_size=\"41565184\"] \n  45 [size=\"46592000\", alpha=\"0.13\", expect_size=\"13977600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17902933\", alpha=\"0.12\", expect_size=\"5370880\"] \n  1 -> 2 [size =\"5370880\"]\n  2 [size=\"168140800\", alpha=\"0.04\", expect_size=\"50442240\"] \n  2 -> 3 [size =\"50442240\"]\n  3 [size=\"82220373\", alpha=\"0.15\", expect_size=\"24666112\"] \n  3 -> 4 [size =\"24666112\"]\n  4 [size=\"54244693\", alpha=\"0.08\", expect_size=\"16273408\"] \n  4 -> 5 [size =\"16273408\"]\n  5 [size=\"107325440\", alpha=\"0.00\", expect_size=\"32197632\"] \n  5 -> 6 [size =\"32197632\"]\n  6 [size=\"100362240\", alpha=\"0.02\", expect_size=\"30108672\"] \n  6 -> 7 [size =\"30108672\"]\n  7 [size=\"30917973\", alpha=\"0.20\", expect_size=\"9275392\"] \n  7 -> 8 [size =\"9275392\"]\n  8 [size=\"32293547\", alpha=\"0.08\", expect_size=\"9688064\"] \n  8 -> 9 [size =\"9688064\"]\n  9 [size=\"95262720\", alpha=\"0.18\", expect_size=\"28578816\"] \n  9 -> 10 [size =\"28578816\"]\n  10 [size=\"62491307\", alpha=\"0.05\", expect_size=\"18747392\"] \n  10 -> 11 [size =\"18747392\"]\n  11 [size=\"122961920\", alpha=\"0.08\", expect_size=\"36888576\"] \n  11 -> 12 [size =\"36888576\"]\n  12 [size=\"63173973\", alpha=\"0.14\", expect_size=\"18952192\"] \n  12 -> 13 [size =\"18952192\"]\n  13 [size=\"91091627\", alpha=\"0.05\", expect_size=\"27327488\"] \n  13 -> 14 [size =\"27327488\"]\n  14 [size=\"50595840\", alpha=\"0.10\", expect_size=\"15178752\"] \n  14 -> 15 [size =\"15178752\"]\n  15 [size=\"111803733\", alpha=\"0.07\", expect_size=\"33541120\"] \n  15 -> 16 [size =\"33541120\"]\n  16 [size=\"113984853\", alpha=\"0.05\", expect_size=\"34195456\"] \n  16 -> 17 [size =\"34195456\"]\n  17 [size=\"131256320\", alpha=\"0.16\", expect_size=\"39376896\"] \n  17 -> 18 [size =\"39376896\"]\n  18 [size=\"130645333\", alpha=\"0.15\", expect_size=\"39193600\"] \n  18 -> 19 [size =\"39193600\"]\n  19 [size=\"39608320\", alpha=\"0.16\", expect_size=\"11882496\"] \n  19 -> 20 [size =\"11882496\"]\n  20 [size=\"26712747\", alpha=\"0.10\", expect_size=\"8013824\"] \n  20 -> 21 [size =\"8013824\"]\n  21 [size=\"65730560\", alpha=\"0.04\", expect_size=\"19719168\"] \n  21 -> 22 [size =\"19719168\"]\n  22 [size=\"131512320\", alpha=\"0.17\", expect_size=\"39453696\"] \n  22 -> 23 [size =\"39453696\"]\n  23 [size=\"80626347\", alpha=\"0.18\", expect_size=\"24187904\"] \n  23 -> 24 [size =\"24187904\"]\n  24 [size=\"119408640\", alpha=\"0.04\", expect_size=\"35822592\"] \n  24 -> 25 [size =\"35822592\"]\n  25 [size=\"44195840\", alpha=\"0.02\", expect_size=\"13258752\"] \n  25 -> 26 [size =\"13258752\"]\n  26 [size=\"96457387\", alpha=\"0.10\", expect_size=\"28937216\"] \n  26 -> 27 [size =\"28937216\"]\n  27 [size=\"132136960\", alpha=\"0.19\", expect_size=\"39641088\"] \n  27 -> 28 [size =\"39641088\"]\n  28 [size=\"103048533\", alpha=\"0.11\", expect_size=\"30914560\"] \n  28 -> 29 [size =\"30914560\"]\n  29 [size=\"66839893\", alpha=\"0.12\", expect_size=\"20051968\"] \n  29 -> 30 [size =\"20051968\"]\n  30 [size=\"32525653\", alpha=\"0.20\", expect_size=\"9757696\"] \n  30 -> 31 [size =\"9757696\"]\n  31 [size=\"107748693\", alpha=\"0.00\", expect_size=\"32324608\"] \n  31 -> 32 [size =\"32324608\"]\n  32 [size=\"135656107\", alpha=\"0.07\", expect_size=\"40696832\"] \n  32 -> 33 [size =\"40696832\"]\n  33 [size=\"109629440\", alpha=\"0.03\", expect_size=\"32888832\"] \n  33 -> 34 [size =\"32888832\"]\n  34 [size=\"94412800\", alpha=\"0.03\", expect_size=\"28323840\"] \n  34 -> 35 [size =\"28323840\"]\n  35 [size=\"126774613\", alpha=\"0.15\", expect_size=\"38032384\"] \n  35 -> 36 [size =\"38032384\"]\n  36 [size=\"139277653\", alpha=\"0.19\", expect_size=\"41783296\"] \n  36 -> 37 [size =\"41783296\"]\n  37 [size=\"57524907\", alpha=\"0.18\", expect_size=\"17257472\"] \n  37 -> 38 [size =\"17257472\"]\n  38 [size=\"52244480\", alpha=\"0.11\", expect_size=\"15673344\"] \n  38 -> 39 [size =\"15673344\"]\n  39 [size=\"138260480\", alpha=\"0.07\", expect_size=\"41478144\"] \n  39 -> 40 [size =\"41478144\"]\n  40 [size=\"78779733\", alpha=\"0.04\", expect_size=\"23633920\"] \n  40 -> 41 [size =\"23633920\"]\n  41 [size=\"76110507\", alpha=\"0.07\", expect_size=\"22833152\"] \n  41 -> 42 [size =\"22833152\"]\n  42 [size=\"78455467\", alpha=\"0.05\", expect_size=\"23536640\"] \n  42 -> 43 [size =\"23536640\"]\n  43 [size=\"131512320\", alpha=\"0.11\", expect_size=\"39453696\"] \n  43 -> 44 [size =\"39453696\"]\n  44 [size=\"151610027\", alpha=\"0.09\", expect_size=\"45483008\"] \n  44 -> 45 [size =\"45483008\"]\n  45 [size=\"171874987\", alpha=\"0.12\", expect_size=\"51562496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146210133\", alpha=\"0.15\", expect_size=\"43863040\"] \n  1 -> 12 [size =\"43863040\"]\n  1 -> 14 [size =\"43863040\"]\n  1 -> 15 [size =\"43863040\"]\n  1 -> 16 [size =\"43863040\"]\n  1 -> 19 [size =\"43863040\"]\n  1 -> 22 [size =\"43863040\"]\n  1 -> 23 [size =\"43863040\"]\n  1 -> 24 [size =\"43863040\"]\n  1 -> 25 [size =\"43863040\"]\n  1 -> 27 [size =\"43863040\"]\n  1 -> 28 [size =\"43863040\"]\n  2 [size=\"171885227\", alpha=\"0.15\", expect_size=\"51565568\"] \n  2 -> 10 [size =\"51565568\"]\n  2 -> 14 [size =\"51565568\"]\n  2 -> 16 [size =\"51565568\"]\n  2 -> 22 [size =\"51565568\"]\n  2 -> 23 [size =\"51565568\"]\n  2 -> 26 [size =\"51565568\"]\n  2 -> 27 [size =\"51565568\"]\n  2 -> 28 [size =\"51565568\"]\n  2 -> 29 [size =\"51565568\"]\n  3 [size=\"81991680\", alpha=\"0.13\", expect_size=\"24597504\"] \n  3 -> 14 [size =\"24597504\"]\n  3 -> 14 [size =\"24597504\"]\n  3 -> 15 [size =\"24597504\"]\n  3 -> 17 [size =\"24597504\"]\n  3 -> 19 [size =\"24597504\"]\n  3 -> 20 [size =\"24597504\"]\n  3 -> 21 [size =\"24597504\"]\n  3 -> 22 [size =\"24597504\"]\n  3 -> 23 [size =\"24597504\"]\n  3 -> 24 [size =\"24597504\"]\n  3 -> 26 [size =\"24597504\"]\n  3 -> 27 [size =\"24597504\"]\n  4 [size=\"126986240\", alpha=\"0.15\", expect_size=\"38095872\"] \n  4 -> 13 [size =\"38095872\"]\n  4 -> 15 [size =\"38095872\"]\n  4 -> 16 [size =\"38095872\"]\n  4 -> 18 [size =\"38095872\"]\n  4 -> 21 [size =\"38095872\"]\n  4 -> 22 [size =\"38095872\"]\n  4 -> 26 [size =\"38095872\"]\n  4 -> 27 [size =\"38095872\"]\n  4 -> 28 [size =\"38095872\"]\n  4 -> 29 [size =\"38095872\"]\n  5 [size=\"32955733\", alpha=\"0.20\", expect_size=\"9886720\"] \n  5 -> 15 [size =\"9886720\"]\n  5 -> 16 [size =\"9886720\"]\n  5 -> 18 [size =\"9886720\"]\n  5 -> 21 [size =\"9886720\"]\n  5 -> 22 [size =\"9886720\"]\n  5 -> 22 [size =\"9886720\"]\n  5 -> 23 [size =\"9886720\"]\n  5 -> 24 [size =\"9886720\"]\n  5 -> 25 [size =\"9886720\"]\n  5 -> 26 [size =\"9886720\"]\n  5 -> 27 [size =\"9886720\"]\n  5 -> 28 [size =\"9886720\"]\n  5 -> 29 [size =\"9886720\"]\n  6 [size=\"77407573\", alpha=\"0.18\", expect_size=\"23222272\"] \n  6 -> 11 [size =\"23222272\"]\n  6 -> 15 [size =\"23222272\"]\n  6 -> 16 [size =\"23222272\"]\n  6 -> 19 [size =\"23222272\"]\n  6 -> 20 [size =\"23222272\"]\n  6 -> 21 [size =\"23222272\"]\n  6 -> 22 [size =\"23222272\"]\n  6 -> 24 [size =\"23222272\"]\n  6 -> 26 [size =\"23222272\"]\n  6 -> 27 [size =\"23222272\"]\n  7 [size=\"170103467\", alpha=\"0.03\", expect_size=\"51031040\"] \n  7 -> 10 [size =\"51031040\"]\n  7 -> 15 [size =\"51031040\"]\n  7 -> 16 [size =\"51031040\"]\n  7 -> 17 [size =\"51031040\"]\n  7 -> 18 [size =\"51031040\"]\n  7 -> 19 [size =\"51031040\"]\n  7 -> 21 [size =\"51031040\"]\n  7 -> 22 [size =\"51031040\"]\n  7 -> 24 [size =\"51031040\"]\n  7 -> 26 [size =\"51031040\"]\n  7 -> 28 [size =\"51031040\"]\n  8 [size=\"33979733\", alpha=\"0.09\", expect_size=\"10193920\"] \n  8 -> 10 [size =\"10193920\"]\n  8 -> 15 [size =\"10193920\"]\n  8 -> 17 [size =\"10193920\"]\n  8 -> 19 [size =\"10193920\"]\n  8 -> 20 [size =\"10193920\"]\n  8 -> 21 [size =\"10193920\"]\n  8 -> 23 [size =\"10193920\"]\n  8 -> 24 [size =\"10193920\"]\n  8 -> 25 [size =\"10193920\"]\n  8 -> 26 [size =\"10193920\"]\n  8 -> 27 [size =\"10193920\"]\n  8 -> 28 [size =\"10193920\"]\n  8 -> 29 [size =\"10193920\"]\n  9 [size=\"144807253\", alpha=\"0.16\", expect_size=\"43442176\"] \n  9 -> 15 [size =\"43442176\"]\n  9 -> 17 [size =\"43442176\"]\n  9 -> 19 [size =\"43442176\"]\n  9 -> 21 [size =\"43442176\"]\n  9 -> 24 [size =\"43442176\"]\n  9 -> 26 [size =\"43442176\"]\n  9 -> 27 [size =\"43442176\"]\n  9 -> 29 [size =\"43442176\"]\n  10 [size=\"174387200\", alpha=\"0.01\", expect_size=\"52316160\"] \n  10 -> 32 [size =\"52316160\"]\n  10 -> 34 [size =\"52316160\"]\n  10 -> 36 [size =\"52316160\"]\n  10 -> 38 [size =\"52316160\"]\n  11 [size=\"163508907\", alpha=\"0.03\", expect_size=\"49052672\"] \n  11 -> 30 [size =\"49052672\"]\n  11 -> 31 [size =\"49052672\"]\n  11 -> 32 [size =\"49052672\"]\n  11 -> 35 [size =\"49052672\"]\n  11 -> 37 [size =\"49052672\"]\n  11 -> 38 [size =\"49052672\"]\n  12 [size=\"125948587\", alpha=\"0.09\", expect_size=\"37784576\"] \n  12 -> 31 [size =\"37784576\"]\n  12 -> 32 [size =\"37784576\"]\n  12 -> 32 [size =\"37784576\"]\n  12 -> 33 [size =\"37784576\"]\n  12 -> 34 [size =\"37784576\"]\n  12 -> 35 [size =\"37784576\"]\n  13 [size=\"85319680\", alpha=\"0.08\", expect_size=\"25595904\"] \n  13 -> 31 [size =\"25595904\"]\n  13 -> 32 [size =\"25595904\"]\n  13 -> 33 [size =\"25595904\"]\n  13 -> 35 [size =\"25595904\"]\n  13 -> 37 [size =\"25595904\"]\n  13 -> 39 [size =\"25595904\"]\n  14 [size=\"28204373\", alpha=\"0.14\", expect_size=\"8461312\"] \n  14 -> 32 [size =\"8461312\"]\n  14 -> 34 [size =\"8461312\"]\n  14 -> 35 [size =\"8461312\"]\n  14 -> 35 [size =\"8461312\"]\n  14 -> 37 [size =\"8461312\"]\n  14 -> 38 [size =\"8461312\"]\n  14 -> 39 [size =\"8461312\"]\n  15 [size=\"147858773\", alpha=\"0.04\", expect_size=\"44357632\"] \n  15 -> 31 [size =\"44357632\"]\n  15 -> 32 [size =\"44357632\"]\n  15 -> 34 [size =\"44357632\"]\n  15 -> 35 [size =\"44357632\"]\n  15 -> 37 [size =\"44357632\"]\n  15 -> 38 [size =\"44357632\"]\n  16 [size=\"144162133\", alpha=\"0.16\", expect_size=\"43248640\"] \n  16 -> 31 [size =\"43248640\"]\n  16 -> 32 [size =\"43248640\"]\n  16 -> 33 [size =\"43248640\"]\n  16 -> 34 [size =\"43248640\"]\n  16 -> 35 [size =\"43248640\"]\n  16 -> 37 [size =\"43248640\"]\n  17 [size=\"132058453\", alpha=\"0.17\", expect_size=\"39617536\"] \n  17 -> 31 [size =\"39617536\"]\n  17 -> 32 [size =\"39617536\"]\n  17 -> 33 [size =\"39617536\"]\n  17 -> 35 [size =\"39617536\"]\n  17 -> 37 [size =\"39617536\"]\n  18 [size=\"158467413\", alpha=\"0.03\", expect_size=\"47540224\"] \n  18 -> 31 [size =\"47540224\"]\n  18 -> 32 [size =\"47540224\"]\n  18 -> 33 [size =\"47540224\"]\n  18 -> 36 [size =\"47540224\"]\n  18 -> 37 [size =\"47540224\"]\n  19 [size=\"68945920\", alpha=\"0.04\", expect_size=\"20683776\"] \n  19 -> 32 [size =\"20683776\"]\n  19 -> 32 [size =\"20683776\"]\n  19 -> 36 [size =\"20683776\"]\n  19 -> 37 [size =\"20683776\"]\n  19 -> 38 [size =\"20683776\"]\n  20 [size=\"40942933\", alpha=\"0.05\", expect_size=\"12282880\"] \n  20 -> 33 [size =\"12282880\"]\n  20 -> 37 [size =\"12282880\"]\n  20 -> 38 [size =\"12282880\"]\n  21 [size=\"46950400\", alpha=\"0.01\", expect_size=\"14085120\"] \n  21 -> 33 [size =\"14085120\"]\n  21 -> 37 [size =\"14085120\"]\n  22 [size=\"71215787\", alpha=\"0.18\", expect_size=\"21364736\"] \n  22 -> 31 [size =\"21364736\"]\n  22 -> 36 [size =\"21364736\"]\n  22 -> 37 [size =\"21364736\"]\n  23 [size=\"143243947\", alpha=\"0.02\", expect_size=\"42973184\"] \n  23 -> 32 [size =\"42973184\"]\n  23 -> 35 [size =\"42973184\"]\n  23 -> 37 [size =\"42973184\"]\n  23 -> 38 [size =\"42973184\"]\n  24 [size=\"50606080\", alpha=\"0.01\", expect_size=\"15181824\"] \n  24 -> 30 [size =\"15181824\"]\n  24 -> 35 [size =\"15181824\"]\n  24 -> 38 [size =\"15181824\"]\n  24 -> 38 [size =\"15181824\"]\n  25 [size=\"163072000\", alpha=\"0.01\", expect_size=\"48921600\"] \n  25 -> 31 [size =\"48921600\"]\n  25 -> 32 [size =\"48921600\"]\n  25 -> 34 [size =\"48921600\"]\n  25 -> 35 [size =\"48921600\"]\n  25 -> 36 [size =\"48921600\"]\n  25 -> 38 [size =\"48921600\"]\n  25 -> 39 [size =\"48921600\"]\n  26 [size=\"37488640\", alpha=\"0.09\", expect_size=\"11246592\"] \n  26 -> 31 [size =\"11246592\"]\n  26 -> 32 [size =\"11246592\"]\n  26 -> 36 [size =\"11246592\"]\n  26 -> 37 [size =\"11246592\"]\n  26 -> 38 [size =\"11246592\"]\n  27 [size=\"163809280\", alpha=\"0.17\", expect_size=\"49142784\"] \n  27 -> 32 [size =\"49142784\"]\n  27 -> 34 [size =\"49142784\"]\n  27 -> 35 [size =\"49142784\"]\n  27 -> 36 [size =\"49142784\"]\n  27 -> 37 [size =\"49142784\"]\n  27 -> 39 [size =\"49142784\"]\n  28 [size=\"143510187\", alpha=\"0.06\", expect_size=\"43053056\"] \n  28 -> 32 [size =\"43053056\"]\n  28 -> 34 [size =\"43053056\"]\n  28 -> 35 [size =\"43053056\"]\n  28 -> 37 [size =\"43053056\"]\n  28 -> 37 [size =\"43053056\"]\n  28 -> 38 [size =\"43053056\"]\n  29 [size=\"164222293\", alpha=\"0.12\", expect_size=\"49266688\"] \n  29 -> 32 [size =\"49266688\"]\n  29 -> 34 [size =\"49266688\"]\n  29 -> 36 [size =\"49266688\"]\n  29 -> 38 [size =\"49266688\"]\n  30 [size=\"41396907\", alpha=\"0.18\", expect_size=\"12419072\"] \n  30 -> 40 [size =\"12419072\"]\n  30 -> 42 [size =\"12419072\"]\n  30 -> 44 [size =\"12419072\"]\n  31 [size=\"78448640\", alpha=\"0.02\", expect_size=\"23534592\"] \n  31 -> 40 [size =\"23534592\"]\n  31 -> 43 [size =\"23534592\"]\n  31 -> 44 [size =\"23534592\"]\n  32 [size=\"89541973\", alpha=\"0.00\", expect_size=\"26862592\"] \n  32 -> 40 [size =\"26862592\"]\n  32 -> 42 [size =\"26862592\"]\n  32 -> 44 [size =\"26862592\"]\n  32 -> 45 [size =\"26862592\"]\n  33 [size=\"71802880\", alpha=\"0.07\", expect_size=\"21540864\"] \n  33 -> 40 [size =\"21540864\"]\n  33 -> 41 [size =\"21540864\"]\n  33 -> 44 [size =\"21540864\"]\n  33 -> 45 [size =\"21540864\"]\n  34 [size=\"89743360\", alpha=\"0.15\", expect_size=\"26923008\"] \n  34 -> 40 [size =\"26923008\"]\n  34 -> 41 [size =\"26923008\"]\n  35 [size=\"95593813\", alpha=\"0.19\", expect_size=\"28678144\"] \n  36 [size=\"104833707\", alpha=\"0.00\", expect_size=\"31450112\"] \n  36 -> 41 [size =\"31450112\"]\n  36 -> 44 [size =\"31450112\"]\n  37 [size=\"20114773\", alpha=\"0.15\", expect_size=\"6034432\"] \n  37 -> 40 [size =\"6034432\"]\n  37 -> 45 [size =\"6034432\"]\n  38 [size=\"151350613\", alpha=\"0.09\", expect_size=\"45405184\"] \n  38 -> 40 [size =\"45405184\"]\n  38 -> 42 [size =\"45405184\"]\n  39 [size=\"43185493\", alpha=\"0.09\", expect_size=\"12955648\"] \n  39 -> 40 [size =\"12955648\"]\n  39 -> 42 [size =\"12955648\"]\n  39 -> 44 [size =\"12955648\"]\n  39 -> 45 [size =\"12955648\"]\n  40 [size=\"137526613\", alpha=\"0.11\", expect_size=\"41257984\"] \n  41 [size=\"119429120\", alpha=\"0.18\", expect_size=\"35828736\"] \n  42 [size=\"134929067\", alpha=\"0.11\", expect_size=\"40478720\"] \n  43 [size=\"135212373\", alpha=\"0.01\", expect_size=\"40563712\"] \n  44 [size=\"30842880\", alpha=\"0.14\", expect_size=\"9252864\"] \n  45 [size=\"147114667\", alpha=\"0.06\", expect_size=\"44134400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15429120\", alpha=\"0.04\", expect_size=\"6171648\"] \n  1 -> 5 [size =\"6171648\"]\n  1 -> 6 [size =\"6171648\"]\n  1 -> 7 [size =\"6171648\"]\n  2 [size=\"101829120\", alpha=\"0.18\", expect_size=\"40731648\"] \n  2 -> 5 [size =\"40731648\"]\n  2 -> 6 [size =\"40731648\"]\n  2 -> 7 [size =\"40731648\"]\n  3 [size=\"50539520\", alpha=\"0.11\", expect_size=\"20215808\"] \n  3 -> 6 [size =\"20215808\"]\n  3 -> 7 [size =\"20215808\"]\n  4 [size=\"35435520\", alpha=\"0.00\", expect_size=\"14174208\"] \n  4 -> 5 [size =\"14174208\"]\n  4 -> 6 [size =\"14174208\"]\n  4 -> 7 [size =\"14174208\"]\n  5 [size=\"39792640\", alpha=\"0.18\", expect_size=\"15917056\"] \n  5 -> 8 [size =\"15917056\"]\n  5 -> 9 [size =\"15917056\"]\n  5 -> 10 [size =\"15917056\"]\n  6 [size=\"129185280\", alpha=\"0.10\", expect_size=\"51674112\"] \n  7 [size=\"33584640\", alpha=\"0.19\", expect_size=\"13433856\"] \n  7 -> 8 [size =\"13433856\"]\n  7 -> 9 [size =\"13433856\"]\n  7 -> 10 [size =\"13433856\"]\n  8 [size=\"42480640\", alpha=\"0.08\", expect_size=\"16992256\"] \n  8 -> 11 [size =\"16992256\"]\n  8 -> 12 [size =\"16992256\"]\n  9 [size=\"34631680\", alpha=\"0.07\", expect_size=\"13852672\"] \n  9 -> 11 [size =\"13852672\"]\n  9 -> 13 [size =\"13852672\"]\n  10 [size=\"129584640\", alpha=\"0.00\", expect_size=\"51833856\"] \n  10 -> 11 [size =\"51833856\"]\n  11 [size=\"125770240\", alpha=\"0.08\", expect_size=\"50308096\"] \n  11 -> 14 [size =\"50308096\"]\n  12 [size=\"32788480\", alpha=\"0.08\", expect_size=\"13115392\"] \n  12 -> 15 [size =\"13115392\"]\n  13 [size=\"19136000\", alpha=\"0.01\", expect_size=\"7654400\"] \n  13 -> 14 [size =\"7654400\"]\n  14 [size=\"86748160\", alpha=\"0.17\", expect_size=\"34699264\"] \n  14 -> 16 [size =\"34699264\"]\n  15 [size=\"87418880\", alpha=\"0.19\", expect_size=\"34967552\"] \n  16 [size=\"77053440\", alpha=\"0.16\", expect_size=\"30821376\"] \n  16 -> 17 [size =\"30821376\"]\n  16 -> 18 [size =\"30821376\"]\n  17 [size=\"16304640\", alpha=\"0.15\", expect_size=\"6521856\"] \n  17 -> 19 [size =\"6521856\"]\n  18 [size=\"130769920\", alpha=\"0.12\", expect_size=\"52307968\"] \n  18 -> 19 [size =\"52307968\"]\n  19 [size=\"58068480\", alpha=\"0.05\", expect_size=\"23227392\"] \n  19 -> 20 [size =\"23227392\"]\n  19 -> 21 [size =\"23227392\"]\n  19 -> 22 [size =\"23227392\"]\n  19 -> 23 [size =\"23227392\"]\n  20 [size=\"96512000\", alpha=\"0.04\", expect_size=\"38604800\"] \n  20 -> 24 [size =\"38604800\"]\n  21 [size=\"97571840\", alpha=\"0.03\", expect_size=\"39028736\"] \n  22 [size=\"23912960\", alpha=\"0.17\", expect_size=\"9565184\"] \n  23 [size=\"72445440\", alpha=\"0.17\", expect_size=\"28978176\"] \n  23 -> 25 [size =\"28978176\"]\n  24 [size=\"77596160\", alpha=\"0.02\", expect_size=\"31038464\"] \n  24 -> 26 [size =\"31038464\"]\n  24 -> 27 [size =\"31038464\"]\n  24 -> 29 [size =\"31038464\"]\n  25 [size=\"62453760\", alpha=\"0.10\", expect_size=\"24981504\"] \n  25 -> 26 [size =\"24981504\"]\n  25 -> 27 [size =\"24981504\"]\n  25 -> 28 [size =\"24981504\"]\n  25 -> 29 [size =\"24981504\"]\n  26 [size=\"54545920\", alpha=\"0.19\", expect_size=\"21818368\"] \n  26 -> 30 [size =\"21818368\"]\n  26 -> 32 [size =\"21818368\"]\n  27 [size=\"32983040\", alpha=\"0.11\", expect_size=\"13193216\"] \n  27 -> 30 [size =\"13193216\"]\n  27 -> 32 [size =\"13193216\"]\n  28 [size=\"122759680\", alpha=\"0.07\", expect_size=\"49103872\"] \n  28 -> 32 [size =\"49103872\"]\n  29 [size=\"78146560\", alpha=\"0.08\", expect_size=\"31258624\"] \n  29 -> 31 [size =\"31258624\"]\n  30 [size=\"109096960\", alpha=\"0.08\", expect_size=\"43638784\"] \n  30 -> 33 [size =\"43638784\"]\n  30 -> 35 [size =\"43638784\"]\n  30 -> 36 [size =\"43638784\"]\n  31 [size=\"13998080\", alpha=\"0.08\", expect_size=\"5599232\"] \n  32 [size=\"31098880\", alpha=\"0.10\", expect_size=\"12439552\"] \n  32 -> 34 [size =\"12439552\"]\n  32 -> 35 [size =\"12439552\"]\n  32 -> 36 [size =\"12439552\"]\n  33 [size=\"13199360\", alpha=\"0.14\", expect_size=\"5279744\"] \n  33 -> 37 [size =\"5279744\"]\n  33 -> 38 [size =\"5279744\"]\n  34 [size=\"115691520\", alpha=\"0.10\", expect_size=\"46276608\"] \n  34 -> 38 [size =\"46276608\"]\n  34 -> 39 [size =\"46276608\"]\n  35 [size=\"124976640\", alpha=\"0.19\", expect_size=\"49990656\"] \n  35 -> 38 [size =\"49990656\"]\n  35 -> 39 [size =\"49990656\"]\n  36 [size=\"67742720\", alpha=\"0.19\", expect_size=\"27097088\"] \n  36 -> 39 [size =\"27097088\"]\n  37 [size=\"60067840\", alpha=\"0.19\", expect_size=\"24027136\"] \n  37 -> 40 [size =\"24027136\"]\n  37 -> 41 [size =\"24027136\"]\n  38 [size=\"122432000\", alpha=\"0.19\", expect_size=\"48972800\"] \n  38 -> 40 [size =\"48972800\"]\n  38 -> 41 [size =\"48972800\"]\n  39 [size=\"48279040\", alpha=\"0.07\", expect_size=\"19311616\"] \n  39 -> 40 [size =\"19311616\"]\n  40 [size=\"95065600\", alpha=\"0.09\", expect_size=\"38026240\"] \n  40 -> 42 [size =\"38026240\"]\n  40 -> 43 [size =\"38026240\"]\n  40 -> 44 [size =\"38026240\"]\n  41 [size=\"25372160\", alpha=\"0.05\", expect_size=\"10148864\"] \n  41 -> 43 [size =\"10148864\"]\n  41 -> 44 [size =\"10148864\"]\n  42 [size=\"69829120\", alpha=\"0.03\", expect_size=\"27931648\"] \n  42 -> 45 [size =\"27931648\"]\n  43 [size=\"130155520\", alpha=\"0.11\", expect_size=\"52062208\"] \n  43 -> 45 [size =\"52062208\"]\n  44 [size=\"94417920\", alpha=\"0.10\", expect_size=\"37767168\"] \n  44 -> 45 [size =\"37767168\"]\n  45 [size=\"36252160\", alpha=\"0.17\", expect_size=\"14500864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63339520\", alpha=\"0.01\", expect_size=\"25335808\"] \n  1 -> 28 [size =\"25335808\"]\n  1 -> 29 [size =\"25335808\"]\n  1 -> 31 [size =\"25335808\"]\n  1 -> 33 [size =\"25335808\"]\n  1 -> 36 [size =\"25335808\"]\n  1 -> 39 [size =\"25335808\"]\n  1 -> 41 [size =\"25335808\"]\n  1 -> 42 [size =\"25335808\"]\n  2 [size=\"71884800\", alpha=\"0.13\", expect_size=\"28753920\"] \n  2 -> 28 [size =\"28753920\"]\n  2 -> 31 [size =\"28753920\"]\n  2 -> 35 [size =\"28753920\"]\n  3 [size=\"74972160\", alpha=\"0.09\", expect_size=\"29988864\"] \n  3 -> 28 [size =\"29988864\"]\n  3 -> 29 [size =\"29988864\"]\n  3 -> 35 [size =\"29988864\"]\n  3 -> 37 [size =\"29988864\"]\n  3 -> 39 [size =\"29988864\"]\n  3 -> 40 [size =\"29988864\"]\n  3 -> 44 [size =\"29988864\"]\n  4 [size=\"83809280\", alpha=\"0.08\", expect_size=\"33523712\"] \n  4 -> 29 [size =\"33523712\"]\n  4 -> 33 [size =\"33523712\"]\n  4 -> 44 [size =\"33523712\"]\n  5 [size=\"44848640\", alpha=\"0.17\", expect_size=\"17939456\"] \n  5 -> 29 [size =\"17939456\"]\n  5 -> 32 [size =\"17939456\"]\n  5 -> 33 [size =\"17939456\"]\n  5 -> 35 [size =\"17939456\"]\n  5 -> 44 [size =\"17939456\"]\n  6 [size=\"77063680\", alpha=\"0.01\", expect_size=\"30825472\"] \n  6 -> 29 [size =\"30825472\"]\n  6 -> 31 [size =\"30825472\"]\n  6 -> 33 [size =\"30825472\"]\n  6 -> 39 [size =\"30825472\"]\n  7 [size=\"59064320\", alpha=\"0.06\", expect_size=\"23625728\"] \n  7 -> 28 [size =\"23625728\"]\n  7 -> 31 [size =\"23625728\"]\n  7 -> 33 [size =\"23625728\"]\n  7 -> 34 [size =\"23625728\"]\n  7 -> 36 [size =\"23625728\"]\n  7 -> 37 [size =\"23625728\"]\n  8 [size=\"78095360\", alpha=\"0.10\", expect_size=\"31238144\"] \n  8 -> 28 [size =\"31238144\"]\n  8 -> 31 [size =\"31238144\"]\n  8 -> 35 [size =\"31238144\"]\n  8 -> 37 [size =\"31238144\"]\n  8 -> 41 [size =\"31238144\"]\n  8 -> 44 [size =\"31238144\"]\n  8 -> 45 [size =\"31238144\"]\n  9 [size=\"24721920\", alpha=\"0.14\", expect_size=\"9888768\"] \n  9 -> 29 [size =\"9888768\"]\n  9 -> 31 [size =\"9888768\"]\n  9 -> 35 [size =\"9888768\"]\n  9 -> 36 [size =\"9888768\"]\n  9 -> 37 [size =\"9888768\"]\n  9 -> 44 [size =\"9888768\"]\n  10 [size=\"53399040\", alpha=\"0.16\", expect_size=\"21359616\"] \n  10 -> 36 [size =\"21359616\"]\n  10 -> 37 [size =\"21359616\"]\n  10 -> 39 [size =\"21359616\"]\n  10 -> 45 [size =\"21359616\"]\n  11 [size=\"121999360\", alpha=\"0.00\", expect_size=\"48799744\"] \n  11 -> 32 [size =\"48799744\"]\n  11 -> 36 [size =\"48799744\"]\n  11 -> 37 [size =\"48799744\"]\n  11 -> 38 [size =\"48799744\"]\n  11 -> 45 [size =\"48799744\"]\n  12 [size=\"128468480\", alpha=\"0.04\", expect_size=\"51387392\"] \n  12 -> 32 [size =\"51387392\"]\n  12 -> 34 [size =\"51387392\"]\n  12 -> 35 [size =\"51387392\"]\n  12 -> 41 [size =\"51387392\"]\n  12 -> 42 [size =\"51387392\"]\n  13 [size=\"88611840\", alpha=\"0.06\", expect_size=\"35444736\"] \n  13 -> 36 [size =\"35444736\"]\n  13 -> 37 [size =\"35444736\"]\n  14 [size=\"23552000\", alpha=\"0.01\", expect_size=\"9420800\"] \n  14 -> 33 [size =\"9420800\"]\n  14 -> 35 [size =\"9420800\"]\n  14 -> 36 [size =\"9420800\"]\n  14 -> 44 [size =\"9420800\"]\n  15 [size=\"71193600\", alpha=\"0.13\", expect_size=\"28477440\"] \n  15 -> 29 [size =\"28477440\"]\n  15 -> 33 [size =\"28477440\"]\n  15 -> 36 [size =\"28477440\"]\n  15 -> 42 [size =\"28477440\"]\n  15 -> 45 [size =\"28477440\"]\n  16 [size=\"50606080\", alpha=\"0.18\", expect_size=\"20242432\"] \n  16 -> 44 [size =\"20242432\"]\n  16 -> 45 [size =\"20242432\"]\n  17 [size=\"54044160\", alpha=\"0.00\", expect_size=\"21617664\"] \n  17 -> 29 [size =\"21617664\"]\n  17 -> 33 [size =\"21617664\"]\n  17 -> 37 [size =\"21617664\"]\n  17 -> 42 [size =\"21617664\"]\n  18 [size=\"87365120\", alpha=\"0.02\", expect_size=\"34946048\"] \n  18 -> 44 [size =\"34946048\"]\n  18 -> 45 [size =\"34946048\"]\n  19 [size=\"31096320\", alpha=\"0.16\", expect_size=\"12438528\"] \n  19 -> 32 [size =\"12438528\"]\n  19 -> 34 [size =\"12438528\"]\n  19 -> 44 [size =\"12438528\"]\n  19 -> 45 [size =\"12438528\"]\n  20 [size=\"111367680\", alpha=\"0.02\", expect_size=\"44547072\"] \n  20 -> 28 [size =\"44547072\"]\n  20 -> 32 [size =\"44547072\"]\n  20 -> 33 [size =\"44547072\"]\n  20 -> 44 [size =\"44547072\"]\n  20 -> 45 [size =\"44547072\"]\n  21 [size=\"87979520\", alpha=\"0.16\", expect_size=\"35191808\"] \n  21 -> 28 [size =\"35191808\"]\n  21 -> 30 [size =\"35191808\"]\n  21 -> 31 [size =\"35191808\"]\n  21 -> 36 [size =\"35191808\"]\n  21 -> 37 [size =\"35191808\"]\n  21 -> 44 [size =\"35191808\"]\n  21 -> 45 [size =\"35191808\"]\n  22 [size=\"89461760\", alpha=\"0.00\", expect_size=\"35784704\"] \n  22 -> 31 [size =\"35784704\"]\n  22 -> 33 [size =\"35784704\"]\n  22 -> 36 [size =\"35784704\"]\n  22 -> 36 [size =\"35784704\"]\n  22 -> 41 [size =\"35784704\"]\n  22 -> 45 [size =\"35784704\"]\n  22 -> 45 [size =\"35784704\"]\n  23 [size=\"115084800\", alpha=\"0.15\", expect_size=\"46033920\"] \n  23 -> 28 [size =\"46033920\"]\n  23 -> 29 [size =\"46033920\"]\n  23 -> 31 [size =\"46033920\"]\n  23 -> 33 [size =\"46033920\"]\n  23 -> 35 [size =\"46033920\"]\n  23 -> 37 [size =\"46033920\"]\n  23 -> 39 [size =\"46033920\"]\n  24 [size=\"32117760\", alpha=\"0.01\", expect_size=\"12847104\"] \n  24 -> 28 [size =\"12847104\"]\n  24 -> 31 [size =\"12847104\"]\n  24 -> 34 [size =\"12847104\"]\n  24 -> 36 [size =\"12847104\"]\n  25 [size=\"36554240\", alpha=\"0.13\", expect_size=\"14621696\"] \n  25 -> 28 [size =\"14621696\"]\n  25 -> 35 [size =\"14621696\"]\n  25 -> 39 [size =\"14621696\"]\n  25 -> 44 [size =\"14621696\"]\n  25 -> 45 [size =\"14621696\"]\n  26 [size=\"111505920\", alpha=\"0.16\", expect_size=\"44602368\"] \n  26 -> 28 [size =\"44602368\"]\n  26 -> 29 [size =\"44602368\"]\n  26 -> 35 [size =\"44602368\"]\n  26 -> 37 [size =\"44602368\"]\n  26 -> 43 [size =\"44602368\"]\n  26 -> 44 [size =\"44602368\"]\n  27 [size=\"97697280\", alpha=\"0.07\", expect_size=\"39078912\"] \n  27 -> 28 [size =\"39078912\"]\n  27 -> 29 [size =\"39078912\"]\n  27 -> 34 [size =\"39078912\"]\n  27 -> 36 [size =\"39078912\"]\n  27 -> 37 [size =\"39078912\"]\n  27 -> 39 [size =\"39078912\"]\n  27 -> 42 [size =\"39078912\"]\n  27 -> 44 [size =\"39078912\"]\n  28 [size=\"100144640\", alpha=\"0.08\", expect_size=\"40057856\"] \n  29 [size=\"112460800\", alpha=\"0.12\", expect_size=\"44984320\"] \n  30 [size=\"90521600\", alpha=\"0.03\", expect_size=\"36208640\"] \n  31 [size=\"101854720\", alpha=\"0.11\", expect_size=\"40741888\"] \n  32 [size=\"78730240\", alpha=\"0.20\", expect_size=\"31492096\"] \n  33 [size=\"79928320\", alpha=\"0.01\", expect_size=\"31971328\"] \n  34 [size=\"49346560\", alpha=\"0.04\", expect_size=\"19738624\"] \n  35 [size=\"57694720\", alpha=\"0.17\", expect_size=\"23077888\"] \n  36 [size=\"18744320\", alpha=\"0.16\", expect_size=\"7497728\"] \n  37 [size=\"114419200\", alpha=\"0.02\", expect_size=\"45767680\"] \n  38 [size=\"36787200\", alpha=\"0.01\", expect_size=\"14714880\"] \n  39 [size=\"86766080\", alpha=\"0.03\", expect_size=\"34706432\"] \n  40 [size=\"40038400\", alpha=\"0.02\", expect_size=\"16015360\"] \n  41 [size=\"54863360\", alpha=\"0.13\", expect_size=\"21945344\"] \n  42 [size=\"122170880\", alpha=\"0.17\", expect_size=\"48868352\"] \n  43 [size=\"121395200\", alpha=\"0.18\", expect_size=\"48558080\"] \n  44 [size=\"128038400\", alpha=\"0.03\", expect_size=\"51215360\"] \n  45 [size=\"34588160\", alpha=\"0.11\", expect_size=\"13835264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95832064\", alpha=\"0.09\", expect_size=\"47916032\"] \n  2 [size=\"43390976\", alpha=\"0.03\", expect_size=\"21695488\"] \n  2 -> 4 [size =\"21695488\"]\n  3 [size=\"88938496\", alpha=\"0.17\", expect_size=\"44469248\"] \n  3 -> 4 [size =\"44469248\"]\n  3 -> 5 [size =\"44469248\"]\n  3 -> 6 [size =\"44469248\"]\n  4 [size=\"48635904\", alpha=\"0.06\", expect_size=\"24317952\"] \n  4 -> 8 [size =\"24317952\"]\n  5 [size=\"43634688\", alpha=\"0.01\", expect_size=\"21817344\"] \n  5 -> 7 [size =\"21817344\"]\n  5 -> 9 [size =\"21817344\"]\n  6 [size=\"28014592\", alpha=\"0.04\", expect_size=\"14007296\"] \n  6 -> 8 [size =\"14007296\"]\n  6 -> 9 [size =\"14007296\"]\n  7 [size=\"41807872\", alpha=\"0.07\", expect_size=\"20903936\"] \n  7 -> 12 [size =\"20903936\"]\n  8 [size=\"44386304\", alpha=\"0.15\", expect_size=\"22193152\"] \n  8 -> 11 [size =\"22193152\"]\n  9 [size=\"82905088\", alpha=\"0.17\", expect_size=\"41452544\"] \n  9 -> 10 [size =\"41452544\"]\n  10 [size=\"31623168\", alpha=\"0.13\", expect_size=\"15811584\"] \n  10 -> 13 [size =\"15811584\"]\n  10 -> 14 [size =\"15811584\"]\n  11 [size=\"72550400\", alpha=\"0.11\", expect_size=\"36275200\"] \n  12 [size=\"21477376\", alpha=\"0.02\", expect_size=\"10738688\"] \n  12 -> 14 [size =\"10738688\"]\n  12 -> 15 [size =\"10738688\"]\n  13 [size=\"33665024\", alpha=\"0.11\", expect_size=\"16832512\"] \n  13 -> 16 [size =\"16832512\"]\n  13 -> 17 [size =\"16832512\"]\n  14 [size=\"20107264\", alpha=\"0.14\", expect_size=\"10053632\"] \n  15 [size=\"48277504\", alpha=\"0.15\", expect_size=\"24138752\"] \n  15 -> 17 [size =\"24138752\"]\n  16 [size=\"51159040\", alpha=\"0.08\", expect_size=\"25579520\"] \n  16 -> 18 [size =\"25579520\"]\n  16 -> 19 [size =\"25579520\"]\n  17 [size=\"69767168\", alpha=\"0.05\", expect_size=\"34883584\"] \n  18 [size=\"101666816\", alpha=\"0.12\", expect_size=\"50833408\"] \n  18 -> 20 [size =\"50833408\"]\n  19 [size=\"80121856\", alpha=\"0.04\", expect_size=\"40060928\"] \n  19 -> 21 [size =\"40060928\"]\n  20 [size=\"67360768\", alpha=\"0.19\", expect_size=\"33680384\"] \n  20 -> 22 [size =\"33680384\"]\n  21 [size=\"32747520\", alpha=\"0.12\", expect_size=\"16373760\"] \n  21 -> 23 [size =\"16373760\"]\n  22 [size=\"82917376\", alpha=\"0.12\", expect_size=\"41458688\"] \n  22 -> 25 [size =\"41458688\"]\n  23 [size=\"92928000\", alpha=\"0.09\", expect_size=\"46464000\"] \n  23 -> 24 [size =\"46464000\"]\n  24 [size=\"52500480\", alpha=\"0.14\", expect_size=\"26250240\"] \n  24 -> 26 [size =\"26250240\"]\n  24 -> 27 [size =\"26250240\"]\n  24 -> 28 [size =\"26250240\"]\n  25 [size=\"22523904\", alpha=\"0.05\", expect_size=\"11261952\"] \n  26 [size=\"92444672\", alpha=\"0.01\", expect_size=\"46222336\"] \n  26 -> 30 [size =\"46222336\"]\n  27 [size=\"35710976\", alpha=\"0.03\", expect_size=\"17855488\"] \n  27 -> 29 [size =\"17855488\"]\n  27 -> 30 [size =\"17855488\"]\n  28 [size=\"58284032\", alpha=\"0.12\", expect_size=\"29142016\"] \n  29 [size=\"20535296\", alpha=\"0.17\", expect_size=\"10267648\"] \n  29 -> 31 [size =\"10267648\"]\n  29 -> 32 [size =\"10267648\"]\n  30 [size=\"39073792\", alpha=\"0.06\", expect_size=\"19536896\"] \n  31 [size=\"34050048\", alpha=\"0.09\", expect_size=\"17025024\"] \n  32 [size=\"90816512\", alpha=\"0.13\", expect_size=\"45408256\"] \n  32 -> 33 [size =\"45408256\"]\n  32 -> 34 [size =\"45408256\"]\n  33 [size=\"53530624\", alpha=\"0.03\", expect_size=\"26765312\"] \n  33 -> 35 [size =\"26765312\"]\n  33 -> 36 [size =\"26765312\"]\n  34 [size=\"95021056\", alpha=\"0.14\", expect_size=\"47510528\"] \n  35 [size=\"64696320\", alpha=\"0.14\", expect_size=\"32348160\"] \n  36 [size=\"90075136\", alpha=\"0.02\", expect_size=\"45037568\"] \n  36 -> 37 [size =\"45037568\"]\n  36 -> 38 [size =\"45037568\"]\n  37 [size=\"94314496\", alpha=\"0.03\", expect_size=\"47157248\"] \n  37 -> 40 [size =\"47157248\"]\n  38 [size=\"14370816\", alpha=\"0.03\", expect_size=\"7185408\"] \n  38 -> 39 [size =\"7185408\"]\n  39 [size=\"72884224\", alpha=\"0.18\", expect_size=\"36442112\"] \n  39 -> 43 [size =\"36442112\"]\n  40 [size=\"59162624\", alpha=\"0.05\", expect_size=\"29581312\"] \n  40 -> 41 [size =\"29581312\"]\n  40 -> 42 [size =\"29581312\"]\n  41 [size=\"88715264\", alpha=\"0.17\", expect_size=\"44357632\"] \n  41 -> 45 [size =\"44357632\"]\n  42 [size=\"34867200\", alpha=\"0.04\", expect_size=\"17433600\"] \n  42 -> 45 [size =\"17433600\"]\n  43 [size=\"97353728\", alpha=\"0.08\", expect_size=\"48676864\"] \n  43 -> 44 [size =\"48676864\"]\n  44 [size=\"16240640\", alpha=\"0.02\", expect_size=\"8120320\"] \n  45 [size=\"84264960\", alpha=\"0.17\", expect_size=\"42132480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75704320\", alpha=\"0.08\", expect_size=\"30281728\"] \n  1 -> 30 [size =\"30281728\"]\n  1 -> 31 [size =\"30281728\"]\n  1 -> 34 [size =\"30281728\"]\n  1 -> 37 [size =\"30281728\"]\n  2 [size=\"64926720\", alpha=\"0.05\", expect_size=\"25970688\"] \n  2 -> 29 [size =\"25970688\"]\n  2 -> 31 [size =\"25970688\"]\n  2 -> 35 [size =\"25970688\"]\n  2 -> 36 [size =\"25970688\"]\n  3 [size=\"87966720\", alpha=\"0.19\", expect_size=\"35186688\"] \n  3 -> 30 [size =\"35186688\"]\n  3 -> 33 [size =\"35186688\"]\n  3 -> 34 [size =\"35186688\"]\n  4 [size=\"121886720\", alpha=\"0.10\", expect_size=\"48754688\"] \n  4 -> 28 [size =\"48754688\"]\n  4 -> 33 [size =\"48754688\"]\n  4 -> 39 [size =\"48754688\"]\n  4 -> 44 [size =\"48754688\"]\n  4 -> 45 [size =\"48754688\"]\n  5 [size=\"101706240\", alpha=\"0.04\", expect_size=\"40682496\"] \n  5 -> 29 [size =\"40682496\"]\n  5 -> 30 [size =\"40682496\"]\n  5 -> 33 [size =\"40682496\"]\n  5 -> 40 [size =\"40682496\"]\n  6 [size=\"80263680\", alpha=\"0.07\", expect_size=\"32105472\"] \n  6 -> 29 [size =\"32105472\"]\n  6 -> 30 [size =\"32105472\"]\n  6 -> 31 [size =\"32105472\"]\n  6 -> 33 [size =\"32105472\"]\n  6 -> 34 [size =\"32105472\"]\n  6 -> 35 [size =\"32105472\"]\n  6 -> 40 [size =\"32105472\"]\n  6 -> 42 [size =\"32105472\"]\n  6 -> 44 [size =\"32105472\"]\n  7 [size=\"75950080\", alpha=\"0.04\", expect_size=\"30380032\"] \n  7 -> 36 [size =\"30380032\"]\n  7 -> 40 [size =\"30380032\"]\n  8 [size=\"47480320\", alpha=\"0.10\", expect_size=\"18992128\"] \n  8 -> 31 [size =\"18992128\"]\n  8 -> 34 [size =\"18992128\"]\n  8 -> 39 [size =\"18992128\"]\n  8 -> 40 [size =\"18992128\"]\n  9 [size=\"15006720\", alpha=\"0.17\", expect_size=\"6002688\"] \n  9 -> 28 [size =\"6002688\"]\n  9 -> 29 [size =\"6002688\"]\n  9 -> 31 [size =\"6002688\"]\n  9 -> 33 [size =\"6002688\"]\n  9 -> 34 [size =\"6002688\"]\n  9 -> 35 [size =\"6002688\"]\n  9 -> 36 [size =\"6002688\"]\n  9 -> 39 [size =\"6002688\"]\n  10 [size=\"127214080\", alpha=\"0.04\", expect_size=\"50885632\"] \n  10 -> 33 [size =\"50885632\"]\n  10 -> 39 [size =\"50885632\"]\n  11 [size=\"57351680\", alpha=\"0.01\", expect_size=\"22940672\"] \n  11 -> 35 [size =\"22940672\"]\n  11 -> 37 [size =\"22940672\"]\n  11 -> 42 [size =\"22940672\"]\n  12 [size=\"107264000\", alpha=\"0.10\", expect_size=\"42905600\"] \n  12 -> 28 [size =\"42905600\"]\n  12 -> 29 [size =\"42905600\"]\n  12 -> 34 [size =\"42905600\"]\n  12 -> 37 [size =\"42905600\"]\n  12 -> 40 [size =\"42905600\"]\n  12 -> 44 [size =\"42905600\"]\n  13 [size=\"19097600\", alpha=\"0.15\", expect_size=\"7639040\"] \n  13 -> 29 [size =\"7639040\"]\n  13 -> 29 [size =\"7639040\"]\n  13 -> 32 [size =\"7639040\"]\n  13 -> 34 [size =\"7639040\"]\n  13 -> 36 [size =\"7639040\"]\n  13 -> 37 [size =\"7639040\"]\n  13 -> 38 [size =\"7639040\"]\n  13 -> 40 [size =\"7639040\"]\n  13 -> 44 [size =\"7639040\"]\n  14 [size=\"15339520\", alpha=\"0.16\", expect_size=\"6135808\"] \n  14 -> 29 [size =\"6135808\"]\n  14 -> 40 [size =\"6135808\"]\n  14 -> 42 [size =\"6135808\"]\n  14 -> 44 [size =\"6135808\"]\n  15 [size=\"75325440\", alpha=\"0.06\", expect_size=\"30130176\"] \n  15 -> 28 [size =\"30130176\"]\n  15 -> 29 [size =\"30130176\"]\n  15 -> 31 [size =\"30130176\"]\n  15 -> 35 [size =\"30130176\"]\n  15 -> 36 [size =\"30130176\"]\n  15 -> 42 [size =\"30130176\"]\n  15 -> 44 [size =\"30130176\"]\n  16 [size=\"97768960\", alpha=\"0.19\", expect_size=\"39107584\"] \n  16 -> 28 [size =\"39107584\"]\n  16 -> 34 [size =\"39107584\"]\n  16 -> 40 [size =\"39107584\"]\n  16 -> 43 [size =\"39107584\"]\n  17 [size=\"21680640\", alpha=\"0.04\", expect_size=\"8672256\"] \n  17 -> 31 [size =\"8672256\"]\n  17 -> 32 [size =\"8672256\"]\n  17 -> 33 [size =\"8672256\"]\n  17 -> 34 [size =\"8672256\"]\n  17 -> 40 [size =\"8672256\"]\n  18 [size=\"44208640\", alpha=\"0.15\", expect_size=\"17683456\"] \n  18 -> 32 [size =\"17683456\"]\n  18 -> 36 [size =\"17683456\"]\n  18 -> 40 [size =\"17683456\"]\n  18 -> 41 [size =\"17683456\"]\n  18 -> 44 [size =\"17683456\"]\n  19 [size=\"101460480\", alpha=\"0.17\", expect_size=\"40584192\"] \n  19 -> 30 [size =\"40584192\"]\n  19 -> 35 [size =\"40584192\"]\n  19 -> 39 [size =\"40584192\"]\n  19 -> 40 [size =\"40584192\"]\n  19 -> 44 [size =\"40584192\"]\n  19 -> 45 [size =\"40584192\"]\n  20 [size=\"86149120\", alpha=\"0.17\", expect_size=\"34459648\"] \n  20 -> 28 [size =\"34459648\"]\n  20 -> 35 [size =\"34459648\"]\n  20 -> 39 [size =\"34459648\"]\n  20 -> 40 [size =\"34459648\"]\n  20 -> 42 [size =\"34459648\"]\n  21 [size=\"110840320\", alpha=\"0.08\", expect_size=\"44336128\"] \n  21 -> 34 [size =\"44336128\"]\n  21 -> 35 [size =\"44336128\"]\n  21 -> 40 [size =\"44336128\"]\n  21 -> 42 [size =\"44336128\"]\n  21 -> 44 [size =\"44336128\"]\n  22 [size=\"118103040\", alpha=\"0.08\", expect_size=\"47241216\"] \n  22 -> 34 [size =\"47241216\"]\n  22 -> 35 [size =\"47241216\"]\n  22 -> 36 [size =\"47241216\"]\n  22 -> 37 [size =\"47241216\"]\n  22 -> 39 [size =\"47241216\"]\n  23 [size=\"57886720\", alpha=\"0.00\", expect_size=\"23154688\"] \n  23 -> 34 [size =\"23154688\"]\n  23 -> 35 [size =\"23154688\"]\n  23 -> 41 [size =\"23154688\"]\n  24 [size=\"27197440\", alpha=\"0.11\", expect_size=\"10878976\"] \n  24 -> 28 [size =\"10878976\"]\n  24 -> 37 [size =\"10878976\"]\n  25 [size=\"119790080\", alpha=\"0.17\", expect_size=\"47916032\"] \n  25 -> 28 [size =\"47916032\"]\n  25 -> 32 [size =\"47916032\"]\n  25 -> 35 [size =\"47916032\"]\n  25 -> 44 [size =\"47916032\"]\n  26 [size=\"37637120\", alpha=\"0.14\", expect_size=\"15054848\"] \n  26 -> 29 [size =\"15054848\"]\n  26 -> 31 [size =\"15054848\"]\n  26 -> 32 [size =\"15054848\"]\n  26 -> 38 [size =\"15054848\"]\n  26 -> 44 [size =\"15054848\"]\n  27 [size=\"30481920\", alpha=\"0.02\", expect_size=\"12192768\"] \n  27 -> 29 [size =\"12192768\"]\n  27 -> 36 [size =\"12192768\"]\n  27 -> 39 [size =\"12192768\"]\n  28 [size=\"52590080\", alpha=\"0.16\", expect_size=\"21036032\"] \n  29 [size=\"20974080\", alpha=\"0.10\", expect_size=\"8389632\"] \n  30 [size=\"119383040\", alpha=\"0.03\", expect_size=\"47753216\"] \n  31 [size=\"101644800\", alpha=\"0.04\", expect_size=\"40657920\"] \n  32 [size=\"30356480\", alpha=\"0.01\", expect_size=\"12142592\"] \n  33 [size=\"75307520\", alpha=\"0.19\", expect_size=\"30123008\"] \n  34 [size=\"75425280\", alpha=\"0.17\", expect_size=\"30170112\"] \n  35 [size=\"21527040\", alpha=\"0.06\", expect_size=\"8610816\"] \n  36 [size=\"120181760\", alpha=\"0.09\", expect_size=\"48072704\"] \n  37 [size=\"84651520\", alpha=\"0.14\", expect_size=\"33860608\"] \n  38 [size=\"95746560\", alpha=\"0.03\", expect_size=\"38298624\"] \n  39 [size=\"69877760\", alpha=\"0.08\", expect_size=\"27951104\"] \n  40 [size=\"126909440\", alpha=\"0.06\", expect_size=\"50763776\"] \n  41 [size=\"27056640\", alpha=\"0.19\", expect_size=\"10822656\"] \n  42 [size=\"50496000\", alpha=\"0.11\", expect_size=\"20198400\"] \n  43 [size=\"55454720\", alpha=\"0.10\", expect_size=\"22181888\"] \n  44 [size=\"47925760\", alpha=\"0.12\", expect_size=\"19170304\"] \n  45 [size=\"30144000\", alpha=\"0.12\", expect_size=\"12057600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56654507\", alpha=\"0.20\", expect_size=\"16996352\"] \n  1 -> 4 [size =\"16996352\"]\n  1 -> 5 [size =\"16996352\"]\n  1 -> 6 [size =\"16996352\"]\n  1 -> 7 [size =\"16996352\"]\n  1 -> 8 [size =\"16996352\"]\n  1 -> 9 [size =\"16996352\"]\n  1 -> 10 [size =\"16996352\"]\n  2 [size=\"56845653\", alpha=\"0.12\", expect_size=\"17053696\"] \n  2 -> 4 [size =\"17053696\"]\n  2 -> 6 [size =\"17053696\"]\n  2 -> 8 [size =\"17053696\"]\n  2 -> 9 [size =\"17053696\"]\n  2 -> 10 [size =\"17053696\"]\n  3 [size=\"55169707\", alpha=\"0.01\", expect_size=\"16550912\"] \n  3 -> 4 [size =\"16550912\"]\n  3 -> 6 [size =\"16550912\"]\n  3 -> 7 [size =\"16550912\"]\n  3 -> 8 [size =\"16550912\"]\n  3 -> 10 [size =\"16550912\"]\n  4 [size=\"33890987\", alpha=\"0.14\", expect_size=\"10167296\"] \n  4 -> 12 [size =\"10167296\"]\n  4 -> 14 [size =\"10167296\"]\n  4 -> 16 [size =\"10167296\"]\n  5 [size=\"46626133\", alpha=\"0.12\", expect_size=\"13987840\"] \n  5 -> 11 [size =\"13987840\"]\n  5 -> 12 [size =\"13987840\"]\n  5 -> 13 [size =\"13987840\"]\n  5 -> 14 [size =\"13987840\"]\n  5 -> 16 [size =\"13987840\"]\n  6 [size=\"102894933\", alpha=\"0.09\", expect_size=\"30868480\"] \n  6 -> 12 [size =\"30868480\"]\n  6 -> 12 [size =\"30868480\"]\n  6 -> 13 [size =\"30868480\"]\n  6 -> 14 [size =\"30868480\"]\n  6 -> 15 [size =\"30868480\"]\n  6 -> 16 [size =\"30868480\"]\n  7 [size=\"87760213\", alpha=\"0.01\", expect_size=\"26328064\"] \n  7 -> 11 [size =\"26328064\"]\n  7 -> 12 [size =\"26328064\"]\n  7 -> 13 [size =\"26328064\"]\n  7 -> 14 [size =\"26328064\"]\n  7 -> 16 [size =\"26328064\"]\n  8 [size=\"113134933\", alpha=\"0.02\", expect_size=\"33940480\"] \n  8 -> 12 [size =\"33940480\"]\n  8 -> 13 [size =\"33940480\"]\n  8 -> 13 [size =\"33940480\"]\n  8 -> 14 [size =\"33940480\"]\n  9 [size=\"71628800\", alpha=\"0.02\", expect_size=\"21488640\"] \n  9 -> 12 [size =\"21488640\"]\n  9 -> 13 [size =\"21488640\"]\n  9 -> 14 [size =\"21488640\"]\n  10 [size=\"117807787\", alpha=\"0.15\", expect_size=\"35342336\"] \n  10 -> 14 [size =\"35342336\"]\n  10 -> 16 [size =\"35342336\"]\n  11 [size=\"93484373\", alpha=\"0.04\", expect_size=\"28045312\"] \n  11 -> 17 [size =\"28045312\"]\n  11 -> 18 [size =\"28045312\"]\n  11 -> 20 [size =\"28045312\"]\n  11 -> 21 [size =\"28045312\"]\n  11 -> 22 [size =\"28045312\"]\n  11 -> 24 [size =\"28045312\"]\n  12 [size=\"91910827\", alpha=\"0.01\", expect_size=\"27573248\"] \n  12 -> 17 [size =\"27573248\"]\n  12 -> 18 [size =\"27573248\"]\n  12 -> 21 [size =\"27573248\"]\n  12 -> 22 [size =\"27573248\"]\n  12 -> 24 [size =\"27573248\"]\n  12 -> 24 [size =\"27573248\"]\n  13 [size=\"31389013\", alpha=\"0.19\", expect_size=\"9416704\"] \n  13 -> 18 [size =\"9416704\"]\n  13 -> 19 [size =\"9416704\"]\n  13 -> 20 [size =\"9416704\"]\n  13 -> 22 [size =\"9416704\"]\n  13 -> 23 [size =\"9416704\"]\n  13 -> 24 [size =\"9416704\"]\n  14 [size=\"40335360\", alpha=\"0.10\", expect_size=\"12100608\"] \n  14 -> 19 [size =\"12100608\"]\n  14 -> 20 [size =\"12100608\"]\n  14 -> 20 [size =\"12100608\"]\n  14 -> 22 [size =\"12100608\"]\n  14 -> 23 [size =\"12100608\"]\n  15 [size=\"147653973\", alpha=\"0.17\", expect_size=\"44296192\"] \n  15 -> 19 [size =\"44296192\"]\n  15 -> 20 [size =\"44296192\"]\n  15 -> 21 [size =\"44296192\"]\n  16 [size=\"84821333\", alpha=\"0.07\", expect_size=\"25446400\"] \n  16 -> 17 [size =\"25446400\"]\n  16 -> 18 [size =\"25446400\"]\n  16 -> 19 [size =\"25446400\"]\n  16 -> 20 [size =\"25446400\"]\n  16 -> 21 [size =\"25446400\"]\n  16 -> 22 [size =\"25446400\"]\n  16 -> 24 [size =\"25446400\"]\n  17 [size=\"155306667\", alpha=\"0.17\", expect_size=\"46592000\"] \n  17 -> 25 [size =\"46592000\"]\n  17 -> 26 [size =\"46592000\"]\n  17 -> 27 [size =\"46592000\"]\n  17 -> 28 [size =\"46592000\"]\n  18 [size=\"164696747\", alpha=\"0.12\", expect_size=\"49409024\"] \n  18 -> 26 [size =\"49409024\"]\n  18 -> 26 [size =\"49409024\"]\n  18 -> 28 [size =\"49409024\"]\n  18 -> 28 [size =\"49409024\"]\n  19 [size=\"25623893\", alpha=\"0.00\", expect_size=\"7687168\"] \n  19 -> 26 [size =\"7687168\"]\n  20 [size=\"42697387\", alpha=\"0.16\", expect_size=\"12809216\"] \n  20 -> 26 [size =\"12809216\"]\n  20 -> 28 [size =\"12809216\"]\n  21 [size=\"162082133\", alpha=\"0.16\", expect_size=\"48624640\"] \n  21 -> 25 [size =\"48624640\"]\n  21 -> 26 [size =\"48624640\"]\n  21 -> 28 [size =\"48624640\"]\n  22 [size=\"32983040\", alpha=\"0.02\", expect_size=\"9894912\"] \n  22 -> 28 [size =\"9894912\"]\n  23 [size=\"37358933\", alpha=\"0.12\", expect_size=\"11207680\"] \n  23 -> 28 [size =\"11207680\"]\n  24 [size=\"32170667\", alpha=\"0.04\", expect_size=\"9651200\"] \n  24 -> 26 [size =\"9651200\"]\n  24 -> 27 [size =\"9651200\"]\n  24 -> 28 [size =\"9651200\"]\n  25 [size=\"109417813\", alpha=\"0.00\", expect_size=\"32825344\"] \n  25 -> 29 [size =\"32825344\"]\n  25 -> 30 [size =\"32825344\"]\n  25 -> 31 [size =\"32825344\"]\n  25 -> 33 [size =\"32825344\"]\n  26 [size=\"85882880\", alpha=\"0.07\", expect_size=\"25764864\"] \n  26 -> 32 [size =\"25764864\"]\n  26 -> 33 [size =\"25764864\"]\n  27 [size=\"142189227\", alpha=\"0.03\", expect_size=\"42656768\"] \n  27 -> 29 [size =\"42656768\"]\n  27 -> 30 [size =\"42656768\"]\n  27 -> 33 [size =\"42656768\"]\n  28 [size=\"119606613\", alpha=\"0.11\", expect_size=\"35881984\"] \n  28 -> 29 [size =\"35881984\"]\n  28 -> 30 [size =\"35881984\"]\n  28 -> 32 [size =\"35881984\"]\n  28 -> 33 [size =\"35881984\"]\n  29 [size=\"58398720\", alpha=\"0.06\", expect_size=\"17519616\"] \n  29 -> 34 [size =\"17519616\"]\n  29 -> 35 [size =\"17519616\"]\n  29 -> 36 [size =\"17519616\"]\n  29 -> 39 [size =\"17519616\"]\n  30 [size=\"58944853\", alpha=\"0.14\", expect_size=\"17683456\"] \n  30 -> 34 [size =\"17683456\"]\n  30 -> 36 [size =\"17683456\"]\n  30 -> 37 [size =\"17683456\"]\n  30 -> 38 [size =\"17683456\"]\n  30 -> 39 [size =\"17683456\"]\n  31 [size=\"24302933\", alpha=\"0.11\", expect_size=\"7290880\"] \n  31 -> 36 [size =\"7290880\"]\n  31 -> 38 [size =\"7290880\"]\n  32 [size=\"150944427\", alpha=\"0.18\", expect_size=\"45283328\"] \n  32 -> 35 [size =\"45283328\"]\n  32 -> 36 [size =\"45283328\"]\n  32 -> 37 [size =\"45283328\"]\n  32 -> 39 [size =\"45283328\"]\n  33 [size=\"163662507\", alpha=\"0.07\", expect_size=\"49098752\"] \n  33 -> 35 [size =\"49098752\"]\n  33 -> 37 [size =\"49098752\"]\n  33 -> 39 [size =\"49098752\"]\n  33 -> 39 [size =\"49098752\"]\n  34 [size=\"100150613\", alpha=\"0.18\", expect_size=\"30045184\"] \n  34 -> 40 [size =\"30045184\"]\n  34 -> 42 [size =\"30045184\"]\n  34 -> 43 [size =\"30045184\"]\n  34 -> 45 [size =\"30045184\"]\n  35 [size=\"134116693\", alpha=\"0.06\", expect_size=\"40235008\"] \n  35 -> 41 [size =\"40235008\"]\n  35 -> 44 [size =\"40235008\"]\n  36 [size=\"137424213\", alpha=\"0.03\", expect_size=\"41227264\"] \n  36 -> 40 [size =\"41227264\"]\n  36 -> 41 [size =\"41227264\"]\n  36 -> 43 [size =\"41227264\"]\n  36 -> 44 [size =\"41227264\"]\n  36 -> 45 [size =\"41227264\"]\n  37 [size=\"38205440\", alpha=\"0.17\", expect_size=\"11461632\"] \n  37 -> 40 [size =\"11461632\"]\n  37 -> 41 [size =\"11461632\"]\n  37 -> 42 [size =\"11461632\"]\n  37 -> 43 [size =\"11461632\"]\n  37 -> 44 [size =\"11461632\"]\n  38 [size=\"64034133\", alpha=\"0.10\", expect_size=\"19210240\"] \n  38 -> 41 [size =\"19210240\"]\n  38 -> 43 [size =\"19210240\"]\n  38 -> 45 [size =\"19210240\"]\n  39 [size=\"153279147\", alpha=\"0.04\", expect_size=\"45983744\"] \n  39 -> 42 [size =\"45983744\"]\n  39 -> 43 [size =\"45983744\"]\n  39 -> 45 [size =\"45983744\"]\n  40 [size=\"45523627\", alpha=\"0.01\", expect_size=\"13657088\"] \n  41 [size=\"155671893\", alpha=\"0.17\", expect_size=\"46701568\"] \n  42 [size=\"87876267\", alpha=\"0.14\", expect_size=\"26362880\"] \n  43 [size=\"73857707\", alpha=\"0.14\", expect_size=\"22157312\"] \n  44 [size=\"127528960\", alpha=\"0.16\", expect_size=\"38258688\"] \n  45 [size=\"114466133\", alpha=\"0.10\", expect_size=\"34339840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161792000\", alpha=\"0.08\", expect_size=\"48537600\"] \n  1 -> 4 [size =\"48537600\"]\n  2 [size=\"18001920\", alpha=\"0.09\", expect_size=\"5400576\"] \n  2 -> 5 [size =\"5400576\"]\n  3 [size=\"96651947\", alpha=\"0.09\", expect_size=\"28995584\"] \n  3 -> 6 [size =\"28995584\"]\n  4 [size=\"159651840\", alpha=\"0.18\", expect_size=\"47895552\"] \n  4 -> 8 [size =\"47895552\"]\n  5 [size=\"134167893\", alpha=\"0.10\", expect_size=\"40250368\"] \n  5 -> 7 [size =\"40250368\"]\n  6 [size=\"98430293\", alpha=\"0.05\", expect_size=\"29529088\"] \n  6 -> 9 [size =\"29529088\"]\n  7 [size=\"40690347\", alpha=\"0.01\", expect_size=\"12207104\"] \n  7 -> 11 [size =\"12207104\"]\n  8 [size=\"20623360\", alpha=\"0.08\", expect_size=\"6187008\"] \n  8 -> 10 [size =\"6187008\"]\n  8 -> 12 [size =\"6187008\"]\n  9 [size=\"113332907\", alpha=\"0.20\", expect_size=\"33999872\"] \n  9 -> 10 [size =\"33999872\"]\n  9 -> 11 [size =\"33999872\"]\n  9 -> 12 [size =\"33999872\"]\n  10 [size=\"58439680\", alpha=\"0.14\", expect_size=\"17531904\"] \n  11 [size=\"36123307\", alpha=\"0.17\", expect_size=\"10836992\"] \n  11 -> 14 [size =\"10836992\"]\n  11 -> 15 [size =\"10836992\"]\n  12 [size=\"100618240\", alpha=\"0.13\", expect_size=\"30185472\"] \n  12 -> 13 [size =\"30185472\"]\n  13 [size=\"174062933\", alpha=\"0.19\", expect_size=\"52218880\"] \n  13 -> 16 [size =\"52218880\"]\n  14 [size=\"90009600\", alpha=\"0.16\", expect_size=\"27002880\"] \n  14 -> 17 [size =\"27002880\"]\n  14 -> 18 [size =\"27002880\"]\n  15 [size=\"72331947\", alpha=\"0.00\", expect_size=\"21699584\"] \n  15 -> 16 [size =\"21699584\"]\n  15 -> 18 [size =\"21699584\"]\n  16 [size=\"148418560\", alpha=\"0.16\", expect_size=\"44525568\"] \n  16 -> 19 [size =\"44525568\"]\n  17 [size=\"26664960\", alpha=\"0.05\", expect_size=\"7999488\"] \n  17 -> 19 [size =\"7999488\"]\n  17 -> 20 [size =\"7999488\"]\n  18 [size=\"34467840\", alpha=\"0.13\", expect_size=\"10340352\"] \n  18 -> 21 [size =\"10340352\"]\n  19 [size=\"98566827\", alpha=\"0.00\", expect_size=\"29570048\"] \n  19 -> 22 [size =\"29570048\"]\n  19 -> 23 [size =\"29570048\"]\n  19 -> 24 [size =\"29570048\"]\n  20 [size=\"95252480\", alpha=\"0.12\", expect_size=\"28575744\"] \n  20 -> 24 [size =\"28575744\"]\n  21 [size=\"47817387\", alpha=\"0.03\", expect_size=\"14345216\"] \n  22 [size=\"20630187\", alpha=\"0.13\", expect_size=\"6189056\"] \n  22 -> 26 [size =\"6189056\"]\n  23 [size=\"123194027\", alpha=\"0.14\", expect_size=\"36958208\"] \n  23 -> 25 [size =\"36958208\"]\n  23 -> 26 [size =\"36958208\"]\n  24 [size=\"112370347\", alpha=\"0.13\", expect_size=\"33711104\"] \n  24 -> 25 [size =\"33711104\"]\n  25 [size=\"79353173\", alpha=\"0.06\", expect_size=\"23805952\"] \n  25 -> 27 [size =\"23805952\"]\n  25 -> 28 [size =\"23805952\"]\n  25 -> 29 [size =\"23805952\"]\n  26 [size=\"82025813\", alpha=\"0.10\", expect_size=\"24607744\"] \n  27 [size=\"51278507\", alpha=\"0.17\", expect_size=\"15383552\"] \n  27 -> 30 [size =\"15383552\"]\n  28 [size=\"90890240\", alpha=\"0.04\", expect_size=\"27267072\"] \n  28 -> 31 [size =\"27267072\"]\n  29 [size=\"33099093\", alpha=\"0.03\", expect_size=\"9929728\"] \n  30 [size=\"36242773\", alpha=\"0.08\", expect_size=\"10872832\"] \n  30 -> 32 [size =\"10872832\"]\n  31 [size=\"134352213\", alpha=\"0.14\", expect_size=\"40305664\"] \n  31 -> 33 [size =\"40305664\"]\n  31 -> 34 [size =\"40305664\"]\n  32 [size=\"157170347\", alpha=\"0.12\", expect_size=\"47151104\"] \n  32 -> 36 [size =\"47151104\"]\n  33 [size=\"105229653\", alpha=\"0.09\", expect_size=\"31568896\"] \n  33 -> 37 [size =\"31568896\"]\n  34 [size=\"57702400\", alpha=\"0.16\", expect_size=\"17310720\"] \n  34 -> 35 [size =\"17310720\"]\n  34 -> 37 [size =\"17310720\"]\n  35 [size=\"156767573\", alpha=\"0.09\", expect_size=\"47030272\"] \n  36 [size=\"47257600\", alpha=\"0.20\", expect_size=\"14177280\"] \n  36 -> 38 [size =\"14177280\"]\n  36 -> 39 [size =\"14177280\"]\n  37 [size=\"124702720\", alpha=\"0.11\", expect_size=\"37410816\"] \n  37 -> 38 [size =\"37410816\"]\n  38 [size=\"97740800\", alpha=\"0.05\", expect_size=\"29322240\"] \n  38 -> 41 [size =\"29322240\"]\n  39 [size=\"126812160\", alpha=\"0.08\", expect_size=\"38043648\"] \n  39 -> 40 [size =\"38043648\"]\n  39 -> 42 [size =\"38043648\"]\n  40 [size=\"150483627\", alpha=\"0.02\", expect_size=\"45145088\"] \n  40 -> 45 [size =\"45145088\"]\n  41 [size=\"52435627\", alpha=\"0.20\", expect_size=\"15730688\"] \n  41 -> 43 [size =\"15730688\"]\n  41 -> 44 [size =\"15730688\"]\n  42 [size=\"165884587\", alpha=\"0.18\", expect_size=\"49765376\"] \n  43 [size=\"102116693\", alpha=\"0.09\", expect_size=\"30635008\"] \n  44 [size=\"17722027\", alpha=\"0.13\", expect_size=\"5316608\"] \n  45 [size=\"142520320\", alpha=\"0.04\", expect_size=\"42756096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160573440\", alpha=\"0.09\", expect_size=\"48172032\"] \n  1 -> 2 [size =\"48172032\"]\n  2 [size=\"107369813\", alpha=\"0.16\", expect_size=\"32210944\"] \n  2 -> 3 [size =\"32210944\"]\n  3 [size=\"103492267\", alpha=\"0.04\", expect_size=\"31047680\"] \n  3 -> 4 [size =\"31047680\"]\n  4 [size=\"29330773\", alpha=\"0.01\", expect_size=\"8799232\"] \n  4 -> 5 [size =\"8799232\"]\n  5 [size=\"153166507\", alpha=\"0.10\", expect_size=\"45949952\"] \n  5 -> 6 [size =\"45949952\"]\n  6 [size=\"53377707\", alpha=\"0.19\", expect_size=\"16013312\"] \n  6 -> 7 [size =\"16013312\"]\n  7 [size=\"172086613\", alpha=\"0.13\", expect_size=\"51625984\"] \n  7 -> 8 [size =\"51625984\"]\n  8 [size=\"59702613\", alpha=\"0.18\", expect_size=\"17910784\"] \n  8 -> 9 [size =\"17910784\"]\n  9 [size=\"108800000\", alpha=\"0.09\", expect_size=\"32640000\"] \n  9 -> 10 [size =\"32640000\"]\n  10 [size=\"83879253\", alpha=\"0.20\", expect_size=\"25163776\"] \n  10 -> 11 [size =\"25163776\"]\n  11 [size=\"31307093\", alpha=\"0.05\", expect_size=\"9392128\"] \n  11 -> 12 [size =\"9392128\"]\n  12 [size=\"102314667\", alpha=\"0.07\", expect_size=\"30694400\"] \n  12 -> 13 [size =\"30694400\"]\n  13 [size=\"68341760\", alpha=\"0.00\", expect_size=\"20502528\"] \n  13 -> 14 [size =\"20502528\"]\n  14 [size=\"99686400\", alpha=\"0.02\", expect_size=\"29905920\"] \n  14 -> 15 [size =\"29905920\"]\n  15 [size=\"110499840\", alpha=\"0.19\", expect_size=\"33149952\"] \n  15 -> 16 [size =\"33149952\"]\n  16 [size=\"32385707\", alpha=\"0.01\", expect_size=\"9715712\"] \n  16 -> 17 [size =\"9715712\"]\n  17 [size=\"21101227\", alpha=\"0.04\", expect_size=\"6330368\"] \n  17 -> 18 [size =\"6330368\"]\n  18 [size=\"119715840\", alpha=\"0.14\", expect_size=\"35914752\"] \n  18 -> 19 [size =\"35914752\"]\n  19 [size=\"107281067\", alpha=\"0.10\", expect_size=\"32184320\"] \n  19 -> 20 [size =\"32184320\"]\n  20 [size=\"24616960\", alpha=\"0.10\", expect_size=\"7385088\"] \n  20 -> 21 [size =\"7385088\"]\n  21 [size=\"21862400\", alpha=\"0.08\", expect_size=\"6558720\"] \n  21 -> 22 [size =\"6558720\"]\n  22 [size=\"64160427\", alpha=\"0.18\", expect_size=\"19248128\"] \n  22 -> 23 [size =\"19248128\"]\n  23 [size=\"119705600\", alpha=\"0.19\", expect_size=\"35911680\"] \n  23 -> 24 [size =\"35911680\"]\n  24 [size=\"121978880\", alpha=\"0.01\", expect_size=\"36593664\"] \n  24 -> 25 [size =\"36593664\"]\n  25 [size=\"138130773\", alpha=\"0.00\", expect_size=\"41439232\"] \n  25 -> 26 [size =\"41439232\"]\n  26 [size=\"133775360\", alpha=\"0.04\", expect_size=\"40132608\"] \n  26 -> 27 [size =\"40132608\"]\n  27 [size=\"143421440\", alpha=\"0.08\", expect_size=\"43026432\"] \n  27 -> 28 [size =\"43026432\"]\n  28 [size=\"20483413\", alpha=\"0.17\", expect_size=\"6145024\"] \n  28 -> 29 [size =\"6145024\"]\n  29 [size=\"132194987\", alpha=\"0.17\", expect_size=\"39658496\"] \n  29 -> 30 [size =\"39658496\"]\n  30 [size=\"54790827\", alpha=\"0.06\", expect_size=\"16437248\"] \n  30 -> 31 [size =\"16437248\"]\n  31 [size=\"134871040\", alpha=\"0.17\", expect_size=\"40461312\"] \n  31 -> 32 [size =\"40461312\"]\n  32 [size=\"43670187\", alpha=\"0.18\", expect_size=\"13101056\"] \n  32 -> 33 [size =\"13101056\"]\n  33 [size=\"28378453\", alpha=\"0.06\", expect_size=\"8513536\"] \n  33 -> 34 [size =\"8513536\"]\n  34 [size=\"17722027\", alpha=\"0.05\", expect_size=\"5316608\"] \n  34 -> 35 [size =\"5316608\"]\n  35 [size=\"23555413\", alpha=\"0.15\", expect_size=\"7066624\"] \n  35 -> 36 [size =\"7066624\"]\n  36 [size=\"24289280\", alpha=\"0.07\", expect_size=\"7286784\"] \n  36 -> 37 [size =\"7286784\"]\n  37 [size=\"55818240\", alpha=\"0.00\", expect_size=\"16745472\"] \n  37 -> 38 [size =\"16745472\"]\n  38 [size=\"115476480\", alpha=\"0.06\", expect_size=\"34642944\"] \n  38 -> 39 [size =\"34642944\"]\n  39 [size=\"88200533\", alpha=\"0.03\", expect_size=\"26460160\"] \n  39 -> 40 [size =\"26460160\"]\n  40 [size=\"65314133\", alpha=\"0.01\", expect_size=\"19594240\"] \n  40 -> 41 [size =\"19594240\"]\n  41 [size=\"113220267\", alpha=\"0.19\", expect_size=\"33966080\"] \n  41 -> 42 [size =\"33966080\"]\n  42 [size=\"88466773\", alpha=\"0.04\", expect_size=\"26540032\"] \n  42 -> 43 [size =\"26540032\"]\n  43 [size=\"75895467\", alpha=\"0.01\", expect_size=\"22768640\"] \n  43 -> 44 [size =\"22768640\"]\n  44 [size=\"126371840\", alpha=\"0.12\", expect_size=\"37911552\"] \n  44 -> 45 [size =\"37911552\"]\n  45 [size=\"164823040\", alpha=\"0.18\", expect_size=\"49446912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167574187\", alpha=\"0.08\", expect_size=\"50272256\"] \n  1 -> 36 [size =\"50272256\"]\n  1 -> 38 [size =\"50272256\"]\n  1 -> 42 [size =\"50272256\"]\n  1 -> 43 [size =\"50272256\"]\n  2 [size=\"50333013\", alpha=\"0.02\", expect_size=\"15099904\"] \n  2 -> 35 [size =\"15099904\"]\n  2 -> 36 [size =\"15099904\"]\n  2 -> 39 [size =\"15099904\"]\n  2 -> 42 [size =\"15099904\"]\n  2 -> 45 [size =\"15099904\"]\n  3 [size=\"30412800\", alpha=\"0.01\", expect_size=\"9123840\"] \n  3 -> 38 [size =\"9123840\"]\n  3 -> 44 [size =\"9123840\"]\n  4 [size=\"131024213\", alpha=\"0.09\", expect_size=\"39307264\"] \n  4 -> 35 [size =\"39307264\"]\n  4 -> 38 [size =\"39307264\"]\n  4 -> 39 [size =\"39307264\"]\n  4 -> 43 [size =\"39307264\"]\n  4 -> 44 [size =\"39307264\"]\n  5 [size=\"125931520\", alpha=\"0.03\", expect_size=\"37779456\"] \n  5 -> 36 [size =\"37779456\"]\n  5 -> 42 [size =\"37779456\"]\n  5 -> 43 [size =\"37779456\"]\n  5 -> 45 [size =\"37779456\"]\n  6 [size=\"47407787\", alpha=\"0.03\", expect_size=\"14222336\"] \n  6 -> 38 [size =\"14222336\"]\n  6 -> 45 [size =\"14222336\"]\n  7 [size=\"114984960\", alpha=\"0.16\", expect_size=\"34495488\"] \n  7 -> 35 [size =\"34495488\"]\n  7 -> 38 [size =\"34495488\"]\n  7 -> 40 [size =\"34495488\"]\n  7 -> 43 [size =\"34495488\"]\n  8 [size=\"138653013\", alpha=\"0.07\", expect_size=\"41595904\"] \n  8 -> 34 [size =\"41595904\"]\n  8 -> 36 [size =\"41595904\"]\n  8 -> 37 [size =\"41595904\"]\n  8 -> 38 [size =\"41595904\"]\n  8 -> 42 [size =\"41595904\"]\n  8 -> 43 [size =\"41595904\"]\n  8 -> 45 [size =\"41595904\"]\n  9 [size=\"49933653\", alpha=\"0.02\", expect_size=\"14980096\"] \n  9 -> 35 [size =\"14980096\"]\n  9 -> 39 [size =\"14980096\"]\n  9 -> 40 [size =\"14980096\"]\n  9 -> 41 [size =\"14980096\"]\n  9 -> 45 [size =\"14980096\"]\n  10 [size=\"94945280\", alpha=\"0.17\", expect_size=\"28483584\"] \n  10 -> 38 [size =\"28483584\"]\n  10 -> 40 [size =\"28483584\"]\n  10 -> 42 [size =\"28483584\"]\n  10 -> 45 [size =\"28483584\"]\n  11 [size=\"50148693\", alpha=\"0.15\", expect_size=\"15044608\"] \n  11 -> 34 [size =\"15044608\"]\n  11 -> 36 [size =\"15044608\"]\n  11 -> 42 [size =\"15044608\"]\n  12 [size=\"112851627\", alpha=\"0.11\", expect_size=\"33855488\"] \n  12 -> 35 [size =\"33855488\"]\n  12 -> 38 [size =\"33855488\"]\n  13 [size=\"131211947\", alpha=\"0.20\", expect_size=\"39363584\"] \n  13 -> 35 [size =\"39363584\"]\n  13 -> 38 [size =\"39363584\"]\n  13 -> 43 [size =\"39363584\"]\n  14 [size=\"138840747\", alpha=\"0.05\", expect_size=\"41652224\"] \n  14 -> 42 [size =\"41652224\"]\n  15 [size=\"48899413\", alpha=\"0.09\", expect_size=\"14669824\"] \n  15 -> 34 [size =\"14669824\"]\n  15 -> 43 [size =\"14669824\"]\n  15 -> 45 [size =\"14669824\"]\n  16 [size=\"72437760\", alpha=\"0.03\", expect_size=\"21731328\"] \n  16 -> 34 [size =\"21731328\"]\n  16 -> 43 [size =\"21731328\"]\n  17 [size=\"97208320\", alpha=\"0.07\", expect_size=\"29162496\"] \n  17 -> 39 [size =\"29162496\"]\n  17 -> 40 [size =\"29162496\"]\n  17 -> 43 [size =\"29162496\"]\n  18 [size=\"69328213\", alpha=\"0.15\", expect_size=\"20798464\"] \n  18 -> 35 [size =\"20798464\"]\n  19 [size=\"121350827\", alpha=\"0.18\", expect_size=\"36405248\"] \n  19 -> 36 [size =\"36405248\"]\n  19 -> 45 [size =\"36405248\"]\n  20 [size=\"140752213\", alpha=\"0.07\", expect_size=\"42225664\"] \n  20 -> 36 [size =\"42225664\"]\n  20 -> 38 [size =\"42225664\"]\n  20 -> 39 [size =\"42225664\"]\n  20 -> 43 [size =\"42225664\"]\n  20 -> 45 [size =\"42225664\"]\n  21 [size=\"114251093\", alpha=\"0.15\", expect_size=\"34275328\"] \n  21 -> 36 [size =\"34275328\"]\n  21 -> 37 [size =\"34275328\"]\n  21 -> 38 [size =\"34275328\"]\n  21 -> 39 [size =\"34275328\"]\n  21 -> 42 [size =\"34275328\"]\n  21 -> 45 [size =\"34275328\"]\n  22 [size=\"74458453\", alpha=\"0.08\", expect_size=\"22337536\"] \n  22 -> 34 [size =\"22337536\"]\n  22 -> 36 [size =\"22337536\"]\n  22 -> 39 [size =\"22337536\"]\n  22 -> 42 [size =\"22337536\"]\n  22 -> 45 [size =\"22337536\"]\n  23 [size=\"163488427\", alpha=\"0.02\", expect_size=\"49046528\"] \n  23 -> 34 [size =\"49046528\"]\n  23 -> 39 [size =\"49046528\"]\n  23 -> 42 [size =\"49046528\"]\n  23 -> 43 [size =\"49046528\"]\n  23 -> 45 [size =\"49046528\"]\n  24 [size=\"163017387\", alpha=\"0.10\", expect_size=\"48905216\"] \n  24 -> 35 [size =\"48905216\"]\n  24 -> 36 [size =\"48905216\"]\n  24 -> 43 [size =\"48905216\"]\n  25 [size=\"46097067\", alpha=\"0.13\", expect_size=\"13829120\"] \n  25 -> 34 [size =\"13829120\"]\n  25 -> 35 [size =\"13829120\"]\n  25 -> 38 [size =\"13829120\"]\n  25 -> 39 [size =\"13829120\"]\n  25 -> 41 [size =\"13829120\"]\n  25 -> 44 [size =\"13829120\"]\n  26 [size=\"118009173\", alpha=\"0.19\", expect_size=\"35402752\"] \n  26 -> 34 [size =\"35402752\"]\n  27 [size=\"140793173\", alpha=\"0.17\", expect_size=\"42237952\"] \n  27 -> 34 [size =\"42237952\"]\n  27 -> 36 [size =\"42237952\"]\n  27 -> 43 [size =\"42237952\"]\n  27 -> 44 [size =\"42237952\"]\n  27 -> 45 [size =\"42237952\"]\n  28 [size=\"36102827\", alpha=\"0.11\", expect_size=\"10830848\"] \n  28 -> 34 [size =\"10830848\"]\n  28 -> 36 [size =\"10830848\"]\n  28 -> 44 [size =\"10830848\"]\n  29 [size=\"150149120\", alpha=\"0.09\", expect_size=\"45044736\"] \n  29 -> 35 [size =\"45044736\"]\n  29 -> 40 [size =\"45044736\"]\n  30 [size=\"134830080\", alpha=\"0.17\", expect_size=\"40449024\"] \n  30 -> 34 [size =\"40449024\"]\n  30 -> 38 [size =\"40449024\"]\n  30 -> 45 [size =\"40449024\"]\n  31 [size=\"34129920\", alpha=\"0.09\", expect_size=\"10238976\"] \n  31 -> 37 [size =\"10238976\"]\n  31 -> 38 [size =\"10238976\"]\n  31 -> 39 [size =\"10238976\"]\n  31 -> 42 [size =\"10238976\"]\n  31 -> 45 [size =\"10238976\"]\n  32 [size=\"155429547\", alpha=\"0.13\", expect_size=\"46628864\"] \n  32 -> 34 [size =\"46628864\"]\n  32 -> 35 [size =\"46628864\"]\n  32 -> 36 [size =\"46628864\"]\n  32 -> 38 [size =\"46628864\"]\n  32 -> 40 [size =\"46628864\"]\n  32 -> 42 [size =\"46628864\"]\n  33 [size=\"59733333\", alpha=\"0.12\", expect_size=\"17920000\"] \n  33 -> 36 [size =\"17920000\"]\n  33 -> 38 [size =\"17920000\"]\n  33 -> 40 [size =\"17920000\"]\n  34 [size=\"74554027\", alpha=\"0.06\", expect_size=\"22366208\"] \n  35 [size=\"156149760\", alpha=\"0.04\", expect_size=\"46844928\"] \n  36 [size=\"98406400\", alpha=\"0.09\", expect_size=\"29521920\"] \n  37 [size=\"88545280\", alpha=\"0.04\", expect_size=\"26563584\"] \n  38 [size=\"66781867\", alpha=\"0.06\", expect_size=\"20034560\"] \n  39 [size=\"154303147\", alpha=\"0.01\", expect_size=\"46290944\"] \n  40 [size=\"68986880\", alpha=\"0.12\", expect_size=\"20696064\"] \n  41 [size=\"45591893\", alpha=\"0.14\", expect_size=\"13677568\"] \n  42 [size=\"116794027\", alpha=\"0.05\", expect_size=\"35038208\"] \n  43 [size=\"63399253\", alpha=\"0.13\", expect_size=\"19019776\"] \n  44 [size=\"156426240\", alpha=\"0.01\", expect_size=\"46927872\"] \n  45 [size=\"45390507\", alpha=\"0.12\", expect_size=\"13617152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98727253\", alpha=\"0.16\", expect_size=\"29618176\"] \n  1 -> 3 [size =\"29618176\"]\n  2 [size=\"116575573\", alpha=\"0.06\", expect_size=\"34972672\"] \n  2 -> 3 [size =\"34972672\"]\n  3 [size=\"115705173\", alpha=\"0.15\", expect_size=\"34711552\"] \n  3 -> 4 [size =\"34711552\"]\n  4 [size=\"122193920\", alpha=\"0.16\", expect_size=\"36658176\"] \n  4 -> 5 [size =\"36658176\"]\n  5 [size=\"85456213\", alpha=\"0.06\", expect_size=\"25636864\"] \n  5 -> 6 [size =\"25636864\"]\n  5 -> 7 [size =\"25636864\"]\n  5 -> 8 [size =\"25636864\"]\n  6 [size=\"117879467\", alpha=\"0.18\", expect_size=\"35363840\"] \n  7 [size=\"128324267\", alpha=\"0.20\", expect_size=\"38497280\"] \n  7 -> 9 [size =\"38497280\"]\n  8 [size=\"133072213\", alpha=\"0.02\", expect_size=\"39921664\"] \n  8 -> 9 [size =\"39921664\"]\n  9 [size=\"134754987\", alpha=\"0.13\", expect_size=\"40426496\"] \n  9 -> 10 [size =\"40426496\"]\n  9 -> 11 [size =\"40426496\"]\n  9 -> 12 [size =\"40426496\"]\n  10 [size=\"52701867\", alpha=\"0.09\", expect_size=\"15810560\"] \n  10 -> 14 [size =\"15810560\"]\n  11 [size=\"88043520\", alpha=\"0.16\", expect_size=\"26413056\"] \n  11 -> 13 [size =\"26413056\"]\n  11 -> 14 [size =\"26413056\"]\n  12 [size=\"54186667\", alpha=\"0.08\", expect_size=\"16256000\"] \n  12 -> 13 [size =\"16256000\"]\n  12 -> 14 [size =\"16256000\"]\n  13 [size=\"101792427\", alpha=\"0.02\", expect_size=\"30537728\"] \n  13 -> 16 [size =\"30537728\"]\n  13 -> 17 [size =\"30537728\"]\n  14 [size=\"58750293\", alpha=\"0.17\", expect_size=\"17625088\"] \n  14 -> 15 [size =\"17625088\"]\n  14 -> 17 [size =\"17625088\"]\n  15 [size=\"24258560\", alpha=\"0.15\", expect_size=\"7277568\"] \n  15 -> 19 [size =\"7277568\"]\n  15 -> 20 [size =\"7277568\"]\n  16 [size=\"74646187\", alpha=\"0.07\", expect_size=\"22393856\"] \n  16 -> 18 [size =\"22393856\"]\n  16 -> 20 [size =\"22393856\"]\n  17 [size=\"61952000\", alpha=\"0.10\", expect_size=\"18585600\"] \n  17 -> 20 [size =\"18585600\"]\n  18 [size=\"58828800\", alpha=\"0.16\", expect_size=\"17648640\"] \n  18 -> 21 [size =\"17648640\"]\n  19 [size=\"74373120\", alpha=\"0.07\", expect_size=\"22311936\"] \n  20 [size=\"22797653\", alpha=\"0.13\", expect_size=\"6839296\"] \n  21 [size=\"96686080\", alpha=\"0.10\", expect_size=\"29005824\"] \n  21 -> 22 [size =\"29005824\"]\n  21 -> 23 [size =\"29005824\"]\n  21 -> 24 [size =\"29005824\"]\n  22 [size=\"68375893\", alpha=\"0.19\", expect_size=\"20512768\"] \n  22 -> 25 [size =\"20512768\"]\n  23 [size=\"129679360\", alpha=\"0.01\", expect_size=\"38903808\"] \n  23 -> 25 [size =\"38903808\"]\n  24 [size=\"142462293\", alpha=\"0.16\", expect_size=\"42738688\"] \n  25 [size=\"116309333\", alpha=\"0.20\", expect_size=\"34892800\"] \n  25 -> 26 [size =\"34892800\"]\n  26 [size=\"75154773\", alpha=\"0.16\", expect_size=\"22546432\"] \n  26 -> 27 [size =\"22546432\"]\n  26 -> 28 [size =\"22546432\"]\n  27 [size=\"128354987\", alpha=\"0.07\", expect_size=\"38506496\"] \n  27 -> 29 [size =\"38506496\"]\n  28 [size=\"47544320\", alpha=\"0.12\", expect_size=\"14263296\"] \n  28 -> 29 [size =\"14263296\"]\n  29 [size=\"17623040\", alpha=\"0.12\", expect_size=\"5286912\"] \n  29 -> 30 [size =\"5286912\"]\n  30 [size=\"73506133\", alpha=\"0.16\", expect_size=\"22051840\"] \n  30 -> 31 [size =\"22051840\"]\n  30 -> 32 [size =\"22051840\"]\n  31 [size=\"21463040\", alpha=\"0.10\", expect_size=\"6438912\"] \n  31 -> 33 [size =\"6438912\"]\n  31 -> 35 [size =\"6438912\"]\n  32 [size=\"100031147\", alpha=\"0.08\", expect_size=\"30009344\"] \n  32 -> 33 [size =\"30009344\"]\n  32 -> 34 [size =\"30009344\"]\n  32 -> 35 [size =\"30009344\"]\n  33 [size=\"93733547\", alpha=\"0.17\", expect_size=\"28120064\"] \n  33 -> 36 [size =\"28120064\"]\n  33 -> 37 [size =\"28120064\"]\n  34 [size=\"100802560\", alpha=\"0.12\", expect_size=\"30240768\"] \n  34 -> 36 [size =\"30240768\"]\n  35 [size=\"68672853\", alpha=\"0.07\", expect_size=\"20601856\"] \n  35 -> 36 [size =\"20601856\"]\n  35 -> 37 [size =\"20601856\"]\n  36 [size=\"65324373\", alpha=\"0.09\", expect_size=\"19597312\"] \n  36 -> 39 [size =\"19597312\"]\n  37 [size=\"33877333\", alpha=\"0.17\", expect_size=\"10163200\"] \n  37 -> 38 [size =\"10163200\"]\n  37 -> 39 [size =\"10163200\"]\n  37 -> 40 [size =\"10163200\"]\n  38 [size=\"85186560\", alpha=\"0.10\", expect_size=\"25555968\"] \n  38 -> 41 [size =\"25555968\"]\n  38 -> 42 [size =\"25555968\"]\n  39 [size=\"20268373\", alpha=\"0.11\", expect_size=\"6080512\"] \n  39 -> 41 [size =\"6080512\"]\n  39 -> 42 [size =\"6080512\"]\n  39 -> 43 [size =\"6080512\"]\n  40 [size=\"113694720\", alpha=\"0.12\", expect_size=\"34108416\"] \n  40 -> 41 [size =\"34108416\"]\n  41 [size=\"86114987\", alpha=\"0.03\", expect_size=\"25834496\"] \n  41 -> 44 [size =\"25834496\"]\n  42 [size=\"165393067\", alpha=\"0.01\", expect_size=\"49617920\"] \n  43 [size=\"73663147\", alpha=\"0.13\", expect_size=\"22098944\"] \n  43 -> 44 [size =\"22098944\"]\n  43 -> 45 [size =\"22098944\"]\n  44 [size=\"52531200\", alpha=\"0.01\", expect_size=\"15759360\"] \n  45 [size=\"143267840\", alpha=\"0.01\", expect_size=\"42980352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145233920\", alpha=\"0.18\", expect_size=\"43570176\"] \n  1 -> 4 [size =\"43570176\"]\n  1 -> 5 [size =\"43570176\"]\n  2 [size=\"118572373\", alpha=\"0.06\", expect_size=\"35571712\"] \n  2 -> 4 [size =\"35571712\"]\n  2 -> 5 [size =\"35571712\"]\n  3 [size=\"136748373\", alpha=\"0.19\", expect_size=\"41024512\"] \n  3 -> 4 [size =\"41024512\"]\n  3 -> 5 [size =\"41024512\"]\n  4 [size=\"18367147\", alpha=\"0.19\", expect_size=\"5510144\"] \n  4 -> 6 [size =\"5510144\"]\n  4 -> 7 [size =\"5510144\"]\n  5 [size=\"119637333\", alpha=\"0.02\", expect_size=\"35891200\"] \n  5 -> 6 [size =\"35891200\"]\n  5 -> 7 [size =\"35891200\"]\n  6 [size=\"150869333\", alpha=\"0.04\", expect_size=\"45260800\"] \n  6 -> 8 [size =\"45260800\"]\n  7 [size=\"114114560\", alpha=\"0.00\", expect_size=\"34234368\"] \n  7 -> 9 [size =\"34234368\"]\n  8 [size=\"78510080\", alpha=\"0.08\", expect_size=\"23553024\"] \n  8 -> 10 [size =\"23553024\"]\n  8 -> 11 [size =\"23553024\"]\n  8 -> 12 [size =\"23553024\"]\n  9 [size=\"136663040\", alpha=\"0.11\", expect_size=\"40998912\"] \n  9 -> 10 [size =\"40998912\"]\n  9 -> 11 [size =\"40998912\"]\n  9 -> 12 [size =\"40998912\"]\n  10 [size=\"65116160\", alpha=\"0.06\", expect_size=\"19534848\"] \n  10 -> 13 [size =\"19534848\"]\n  10 -> 14 [size =\"19534848\"]\n  11 [size=\"138741760\", alpha=\"0.05\", expect_size=\"41622528\"] \n  11 -> 13 [size =\"41622528\"]\n  11 -> 14 [size =\"41622528\"]\n  12 [size=\"125511680\", alpha=\"0.10\", expect_size=\"37653504\"] \n  12 -> 13 [size =\"37653504\"]\n  12 -> 14 [size =\"37653504\"]\n  13 [size=\"18670933\", alpha=\"0.01\", expect_size=\"5601280\"] \n  13 -> 15 [size =\"5601280\"]\n  13 -> 16 [size =\"5601280\"]\n  13 -> 17 [size =\"5601280\"]\n  14 [size=\"171830613\", alpha=\"0.06\", expect_size=\"51549184\"] \n  14 -> 15 [size =\"51549184\"]\n  14 -> 16 [size =\"51549184\"]\n  14 -> 17 [size =\"51549184\"]\n  15 [size=\"162177707\", alpha=\"0.19\", expect_size=\"48653312\"] \n  15 -> 18 [size =\"48653312\"]\n  15 -> 19 [size =\"48653312\"]\n  16 [size=\"21749760\", alpha=\"0.05\", expect_size=\"6524928\"] \n  16 -> 18 [size =\"6524928\"]\n  17 [size=\"53794133\", alpha=\"0.16\", expect_size=\"16138240\"] \n  17 -> 18 [size =\"16138240\"]\n  17 -> 19 [size =\"16138240\"]\n  18 [size=\"55872853\", alpha=\"0.19\", expect_size=\"16761856\"] \n  18 -> 20 [size =\"16761856\"]\n  18 -> 21 [size =\"16761856\"]\n  18 -> 22 [size =\"16761856\"]\n  19 [size=\"117067093\", alpha=\"0.06\", expect_size=\"35120128\"] \n  19 -> 20 [size =\"35120128\"]\n  19 -> 21 [size =\"35120128\"]\n  19 -> 22 [size =\"35120128\"]\n  20 [size=\"46687573\", alpha=\"0.19\", expect_size=\"14006272\"] \n  20 -> 23 [size =\"14006272\"]\n  20 -> 24 [size =\"14006272\"]\n  21 [size=\"95266133\", alpha=\"0.09\", expect_size=\"28579840\"] \n  21 -> 23 [size =\"28579840\"]\n  21 -> 24 [size =\"28579840\"]\n  22 [size=\"131266560\", alpha=\"0.12\", expect_size=\"39379968\"] \n  22 -> 23 [size =\"39379968\"]\n  22 -> 24 [size =\"39379968\"]\n  22 -> 25 [size =\"39379968\"]\n  23 [size=\"52043093\", alpha=\"0.10\", expect_size=\"15612928\"] \n  23 -> 26 [size =\"15612928\"]\n  23 -> 28 [size =\"15612928\"]\n  24 [size=\"60931413\", alpha=\"0.08\", expect_size=\"18279424\"] \n  24 -> 26 [size =\"18279424\"]\n  24 -> 27 [size =\"18279424\"]\n  24 -> 28 [size =\"18279424\"]\n  25 [size=\"111534080\", alpha=\"0.20\", expect_size=\"33460224\"] \n  25 -> 26 [size =\"33460224\"]\n  25 -> 27 [size =\"33460224\"]\n  25 -> 28 [size =\"33460224\"]\n  26 [size=\"104837120\", alpha=\"0.08\", expect_size=\"31451136\"] \n  26 -> 30 [size =\"31451136\"]\n  27 [size=\"141216427\", alpha=\"0.08\", expect_size=\"42364928\"] \n  27 -> 29 [size =\"42364928\"]\n  27 -> 30 [size =\"42364928\"]\n  28 [size=\"110701227\", alpha=\"0.16\", expect_size=\"33210368\"] \n  28 -> 30 [size =\"33210368\"]\n  29 [size=\"106240000\", alpha=\"0.20\", expect_size=\"31872000\"] \n  29 -> 32 [size =\"31872000\"]\n  30 [size=\"149961387\", alpha=\"0.09\", expect_size=\"44988416\"] \n  30 -> 31 [size =\"44988416\"]\n  31 [size=\"144711680\", alpha=\"0.14\", expect_size=\"43413504\"] \n  31 -> 33 [size =\"43413504\"]\n  32 [size=\"60972373\", alpha=\"0.12\", expect_size=\"18291712\"] \n  32 -> 33 [size =\"18291712\"]\n  32 -> 34 [size =\"18291712\"]\n  33 [size=\"157125973\", alpha=\"0.11\", expect_size=\"47137792\"] \n  33 -> 35 [size =\"47137792\"]\n  33 -> 36 [size =\"47137792\"]\n  34 [size=\"80585387\", alpha=\"0.09\", expect_size=\"24175616\"] \n  34 -> 35 [size =\"24175616\"]\n  34 -> 36 [size =\"24175616\"]\n  35 [size=\"146817707\", alpha=\"0.06\", expect_size=\"44045312\"] \n  35 -> 37 [size =\"44045312\"]\n  35 -> 38 [size =\"44045312\"]\n  35 -> 39 [size =\"44045312\"]\n  36 [size=\"143414613\", alpha=\"0.03\", expect_size=\"43024384\"] \n  36 -> 38 [size =\"43024384\"]\n  36 -> 39 [size =\"43024384\"]\n  37 [size=\"46489600\", alpha=\"0.05\", expect_size=\"13946880\"] \n  37 -> 40 [size =\"13946880\"]\n  37 -> 41 [size =\"13946880\"]\n  38 [size=\"109960533\", alpha=\"0.12\", expect_size=\"32988160\"] \n  38 -> 40 [size =\"32988160\"]\n  39 [size=\"80298667\", alpha=\"0.11\", expect_size=\"24089600\"] \n  40 [size=\"76683947\", alpha=\"0.14\", expect_size=\"23005184\"] \n  40 -> 42 [size =\"23005184\"]\n  41 [size=\"146763093\", alpha=\"0.07\", expect_size=\"44028928\"] \n  41 -> 42 [size =\"44028928\"]\n  41 -> 43 [size =\"44028928\"]\n  41 -> 44 [size =\"44028928\"]\n  42 [size=\"97228800\", alpha=\"0.15\", expect_size=\"29168640\"] \n  42 -> 45 [size =\"29168640\"]\n  43 [size=\"36116480\", alpha=\"0.07\", expect_size=\"10834944\"] \n  43 -> 45 [size =\"10834944\"]\n  44 [size=\"121910613\", alpha=\"0.04\", expect_size=\"36573184\"] \n  44 -> 45 [size =\"36573184\"]\n  45 [size=\"37106347\", alpha=\"0.14\", expect_size=\"11131904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161689600\", alpha=\"0.02\", expect_size=\"48506880\"] \n  1 -> 8 [size =\"48506880\"]\n  1 -> 12 [size =\"48506880\"]\n  2 [size=\"126907733\", alpha=\"0.15\", expect_size=\"38072320\"] \n  2 -> 9 [size =\"38072320\"]\n  2 -> 10 [size =\"38072320\"]\n  2 -> 11 [size =\"38072320\"]\n  3 [size=\"118545067\", alpha=\"0.15\", expect_size=\"35563520\"] \n  3 -> 8 [size =\"35563520\"]\n  3 -> 9 [size =\"35563520\"]\n  4 [size=\"61593600\", alpha=\"0.03\", expect_size=\"18478080\"] \n  4 -> 11 [size =\"18478080\"]\n  4 -> 12 [size =\"18478080\"]\n  5 [size=\"105577813\", alpha=\"0.11\", expect_size=\"31673344\"] \n  5 -> 12 [size =\"31673344\"]\n  6 [size=\"96880640\", alpha=\"0.04\", expect_size=\"29064192\"] \n  6 -> 13 [size =\"29064192\"]\n  7 [size=\"170772480\", alpha=\"0.14\", expect_size=\"51231744\"] \n  7 -> 12 [size =\"51231744\"]\n  7 -> 13 [size =\"51231744\"]\n  8 [size=\"78431573\", alpha=\"0.11\", expect_size=\"23529472\"] \n  8 -> 15 [size =\"23529472\"]\n  9 [size=\"30648320\", alpha=\"0.18\", expect_size=\"9194496\"] \n  10 [size=\"110199467\", alpha=\"0.17\", expect_size=\"33059840\"] \n  10 -> 17 [size =\"33059840\"]\n  10 -> 18 [size =\"33059840\"]\n  11 [size=\"92914347\", alpha=\"0.16\", expect_size=\"27874304\"] \n  11 -> 14 [size =\"27874304\"]\n  11 -> 16 [size =\"27874304\"]\n  11 -> 17 [size =\"27874304\"]\n  12 [size=\"110035627\", alpha=\"0.19\", expect_size=\"33010688\"] \n  12 -> 16 [size =\"33010688\"]\n  12 -> 18 [size =\"33010688\"]\n  13 [size=\"69560320\", alpha=\"0.18\", expect_size=\"20868096\"] \n  13 -> 16 [size =\"20868096\"]\n  13 -> 18 [size =\"20868096\"]\n  14 [size=\"29201067\", alpha=\"0.05\", expect_size=\"8760320\"] \n  14 -> 21 [size =\"8760320\"]\n  14 -> 22 [size =\"8760320\"]\n  15 [size=\"50104320\", alpha=\"0.06\", expect_size=\"15031296\"] \n  15 -> 19 [size =\"15031296\"]\n  16 [size=\"135683413\", alpha=\"0.11\", expect_size=\"40705024\"] \n  16 -> 20 [size =\"40705024\"]\n  17 [size=\"168881493\", alpha=\"0.18\", expect_size=\"50664448\"] \n  17 -> 20 [size =\"50664448\"]\n  18 [size=\"118981973\", alpha=\"0.11\", expect_size=\"35694592\"] \n  18 -> 23 [size =\"35694592\"]\n  19 [size=\"46725120\", alpha=\"0.09\", expect_size=\"14017536\"] \n  19 -> 24 [size =\"14017536\"]\n  19 -> 25 [size =\"14017536\"]\n  19 -> 29 [size =\"14017536\"]\n  20 [size=\"27204267\", alpha=\"0.19\", expect_size=\"8161280\"] \n  20 -> 26 [size =\"8161280\"]\n  20 -> 27 [size =\"8161280\"]\n  21 [size=\"162450773\", alpha=\"0.06\", expect_size=\"48735232\"] \n  22 [size=\"130587307\", alpha=\"0.07\", expect_size=\"39176192\"] \n  22 -> 25 [size =\"39176192\"]\n  22 -> 28 [size =\"39176192\"]\n  23 [size=\"124788053\", alpha=\"0.02\", expect_size=\"37436416\"] \n  23 -> 25 [size =\"37436416\"]\n  24 [size=\"112121173\", alpha=\"0.02\", expect_size=\"33636352\"] \n  24 -> 30 [size =\"33636352\"]\n  24 -> 33 [size =\"33636352\"]\n  25 [size=\"153702400\", alpha=\"0.13\", expect_size=\"46110720\"] \n  25 -> 32 [size =\"46110720\"]\n  25 -> 33 [size =\"46110720\"]\n  26 [size=\"40031573\", alpha=\"0.14\", expect_size=\"12009472\"] \n  27 [size=\"125552640\", alpha=\"0.14\", expect_size=\"37665792\"] \n  27 -> 31 [size =\"37665792\"]\n  27 -> 34 [size =\"37665792\"]\n  28 [size=\"108670293\", alpha=\"0.03\", expect_size=\"32601088\"] \n  28 -> 31 [size =\"32601088\"]\n  28 -> 33 [size =\"32601088\"]\n  28 -> 34 [size =\"32601088\"]\n  28 -> 35 [size =\"32601088\"]\n  29 [size=\"37075627\", alpha=\"0.13\", expect_size=\"11122688\"] \n  29 -> 31 [size =\"11122688\"]\n  30 [size=\"110660267\", alpha=\"0.15\", expect_size=\"33198080\"] \n  30 -> 36 [size =\"33198080\"]\n  30 -> 37 [size =\"33198080\"]\n  30 -> 38 [size =\"33198080\"]\n  30 -> 39 [size =\"33198080\"]\n  30 -> 41 [size =\"33198080\"]\n  31 [size=\"98983253\", alpha=\"0.06\", expect_size=\"29694976\"] \n  31 -> 40 [size =\"29694976\"]\n  32 [size=\"146257920\", alpha=\"0.10\", expect_size=\"43877376\"] \n  32 -> 36 [size =\"43877376\"]\n  33 [size=\"47349760\", alpha=\"0.19\", expect_size=\"14204928\"] \n  33 -> 36 [size =\"14204928\"]\n  33 -> 37 [size =\"14204928\"]\n  33 -> 39 [size =\"14204928\"]\n  33 -> 41 [size =\"14204928\"]\n  33 -> 42 [size =\"14204928\"]\n  34 [size=\"60613973\", alpha=\"0.11\", expect_size=\"18184192\"] \n  34 -> 40 [size =\"18184192\"]\n  34 -> 42 [size =\"18184192\"]\n  35 [size=\"72884907\", alpha=\"0.06\", expect_size=\"21865472\"] \n  35 -> 40 [size =\"21865472\"]\n  35 -> 41 [size =\"21865472\"]\n  35 -> 42 [size =\"21865472\"]\n  36 [size=\"172260693\", alpha=\"0.17\", expect_size=\"51678208\"] \n  37 [size=\"123583147\", alpha=\"0.07\", expect_size=\"37074944\"] \n  37 -> 43 [size =\"37074944\"]\n  38 [size=\"80148480\", alpha=\"0.09\", expect_size=\"24044544\"] \n  39 [size=\"102908587\", alpha=\"0.16\", expect_size=\"30872576\"] \n  39 -> 44 [size =\"30872576\"]\n  39 -> 45 [size =\"30872576\"]\n  40 [size=\"47752533\", alpha=\"0.03\", expect_size=\"14325760\"] \n  41 [size=\"164693333\", alpha=\"0.10\", expect_size=\"49408000\"] \n  41 -> 43 [size =\"49408000\"]\n  42 [size=\"57313280\", alpha=\"0.10\", expect_size=\"17193984\"] \n  43 [size=\"132741120\", alpha=\"0.04\", expect_size=\"39822336\"] \n  44 [size=\"128491520\", alpha=\"0.10\", expect_size=\"38547456\"] \n  45 [size=\"56299520\", alpha=\"0.14\", expect_size=\"16889856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116305920\", alpha=\"0.07\", expect_size=\"46522368\"] \n  1 -> 33 [size =\"46522368\"]\n  1 -> 34 [size =\"46522368\"]\n  1 -> 38 [size =\"46522368\"]\n  1 -> 39 [size =\"46522368\"]\n  1 -> 42 [size =\"46522368\"]\n  1 -> 44 [size =\"46522368\"]\n  1 -> 45 [size =\"46522368\"]\n  2 [size=\"69102080\", alpha=\"0.09\", expect_size=\"27640832\"] \n  2 -> 33 [size =\"27640832\"]\n  2 -> 36 [size =\"27640832\"]\n  2 -> 38 [size =\"27640832\"]\n  2 -> 40 [size =\"27640832\"]\n  2 -> 42 [size =\"27640832\"]\n  2 -> 44 [size =\"27640832\"]\n  2 -> 45 [size =\"27640832\"]\n  3 [size=\"16074240\", alpha=\"0.02\", expect_size=\"6429696\"] \n  3 -> 33 [size =\"6429696\"]\n  3 -> 34 [size =\"6429696\"]\n  3 -> 36 [size =\"6429696\"]\n  3 -> 38 [size =\"6429696\"]\n  3 -> 39 [size =\"6429696\"]\n  3 -> 42 [size =\"6429696\"]\n  3 -> 43 [size =\"6429696\"]\n  3 -> 44 [size =\"6429696\"]\n  3 -> 45 [size =\"6429696\"]\n  4 [size=\"14965760\", alpha=\"0.07\", expect_size=\"5986304\"] \n  4 -> 33 [size =\"5986304\"]\n  4 -> 34 [size =\"5986304\"]\n  4 -> 39 [size =\"5986304\"]\n  4 -> 44 [size =\"5986304\"]\n  4 -> 45 [size =\"5986304\"]\n  5 [size=\"27335680\", alpha=\"0.12\", expect_size=\"10934272\"] \n  5 -> 33 [size =\"10934272\"]\n  5 -> 34 [size =\"10934272\"]\n  5 -> 36 [size =\"10934272\"]\n  5 -> 38 [size =\"10934272\"]\n  5 -> 39 [size =\"10934272\"]\n  5 -> 43 [size =\"10934272\"]\n  5 -> 44 [size =\"10934272\"]\n  6 [size=\"107729920\", alpha=\"0.19\", expect_size=\"43091968\"] \n  6 -> 33 [size =\"43091968\"]\n  6 -> 34 [size =\"43091968\"]\n  6 -> 36 [size =\"43091968\"]\n  6 -> 38 [size =\"43091968\"]\n  6 -> 39 [size =\"43091968\"]\n  6 -> 42 [size =\"43091968\"]\n  6 -> 43 [size =\"43091968\"]\n  7 [size=\"36198400\", alpha=\"0.19\", expect_size=\"14479360\"] \n  7 -> 34 [size =\"14479360\"]\n  7 -> 37 [size =\"14479360\"]\n  7 -> 38 [size =\"14479360\"]\n  7 -> 39 [size =\"14479360\"]\n  7 -> 42 [size =\"14479360\"]\n  7 -> 42 [size =\"14479360\"]\n  7 -> 44 [size =\"14479360\"]\n  8 [size=\"99842560\", alpha=\"0.03\", expect_size=\"39937024\"] \n  8 -> 41 [size =\"39937024\"]\n  8 -> 45 [size =\"39937024\"]\n  9 [size=\"116802560\", alpha=\"0.07\", expect_size=\"46721024\"] \n  9 -> 35 [size =\"46721024\"]\n  9 -> 37 [size =\"46721024\"]\n  9 -> 38 [size =\"46721024\"]\n  10 [size=\"71626240\", alpha=\"0.19\", expect_size=\"28650496\"] \n  10 -> 34 [size =\"28650496\"]\n  10 -> 35 [size =\"28650496\"]\n  10 -> 38 [size =\"28650496\"]\n  10 -> 39 [size =\"28650496\"]\n  10 -> 42 [size =\"28650496\"]\n  10 -> 43 [size =\"28650496\"]\n  11 [size=\"14714880\", alpha=\"0.18\", expect_size=\"5885952\"] \n  11 -> 34 [size =\"5885952\"]\n  11 -> 35 [size =\"5885952\"]\n  11 -> 36 [size =\"5885952\"]\n  11 -> 38 [size =\"5885952\"]\n  11 -> 39 [size =\"5885952\"]\n  11 -> 42 [size =\"5885952\"]\n  11 -> 44 [size =\"5885952\"]\n  12 [size=\"58142720\", alpha=\"0.12\", expect_size=\"23257088\"] \n  12 -> 33 [size =\"23257088\"]\n  12 -> 34 [size =\"23257088\"]\n  12 -> 35 [size =\"23257088\"]\n  12 -> 38 [size =\"23257088\"]\n  12 -> 40 [size =\"23257088\"]\n  12 -> 44 [size =\"23257088\"]\n  12 -> 44 [size =\"23257088\"]\n  12 -> 45 [size =\"23257088\"]\n  13 [size=\"113996800\", alpha=\"0.14\", expect_size=\"45598720\"] \n  13 -> 34 [size =\"45598720\"]\n  13 -> 34 [size =\"45598720\"]\n  13 -> 35 [size =\"45598720\"]\n  13 -> 38 [size =\"45598720\"]\n  13 -> 42 [size =\"45598720\"]\n  13 -> 44 [size =\"45598720\"]\n  14 [size=\"128158720\", alpha=\"0.04\", expect_size=\"51263488\"] \n  14 -> 33 [size =\"51263488\"]\n  14 -> 34 [size =\"51263488\"]\n  14 -> 42 [size =\"51263488\"]\n  15 [size=\"49978880\", alpha=\"0.11\", expect_size=\"19991552\"] \n  15 -> 33 [size =\"19991552\"]\n  15 -> 34 [size =\"19991552\"]\n  15 -> 36 [size =\"19991552\"]\n  15 -> 39 [size =\"19991552\"]\n  15 -> 42 [size =\"19991552\"]\n  15 -> 43 [size =\"19991552\"]\n  16 [size=\"120340480\", alpha=\"0.06\", expect_size=\"48136192\"] \n  16 -> 34 [size =\"48136192\"]\n  16 -> 34 [size =\"48136192\"]\n  16 -> 36 [size =\"48136192\"]\n  16 -> 39 [size =\"48136192\"]\n  16 -> 42 [size =\"48136192\"]\n  16 -> 43 [size =\"48136192\"]\n  16 -> 44 [size =\"48136192\"]\n  17 [size=\"113861120\", alpha=\"0.18\", expect_size=\"45544448\"] \n  17 -> 33 [size =\"45544448\"]\n  17 -> 38 [size =\"45544448\"]\n  17 -> 40 [size =\"45544448\"]\n  17 -> 41 [size =\"45544448\"]\n  17 -> 42 [size =\"45544448\"]\n  17 -> 43 [size =\"45544448\"]\n  17 -> 44 [size =\"45544448\"]\n  17 -> 45 [size =\"45544448\"]\n  18 [size=\"106416640\", alpha=\"0.02\", expect_size=\"42566656\"] \n  18 -> 35 [size =\"42566656\"]\n  18 -> 38 [size =\"42566656\"]\n  18 -> 41 [size =\"42566656\"]\n  18 -> 42 [size =\"42566656\"]\n  18 -> 44 [size =\"42566656\"]\n  18 -> 45 [size =\"42566656\"]\n  19 [size=\"124748800\", alpha=\"0.17\", expect_size=\"49899520\"] \n  19 -> 33 [size =\"49899520\"]\n  19 -> 34 [size =\"49899520\"]\n  19 -> 35 [size =\"49899520\"]\n  19 -> 36 [size =\"49899520\"]\n  19 -> 39 [size =\"49899520\"]\n  19 -> 43 [size =\"49899520\"]\n  19 -> 45 [size =\"49899520\"]\n  20 [size=\"48317440\", alpha=\"0.15\", expect_size=\"19326976\"] \n  20 -> 36 [size =\"19326976\"]\n  20 -> 39 [size =\"19326976\"]\n  20 -> 41 [size =\"19326976\"]\n  20 -> 44 [size =\"19326976\"]\n  20 -> 45 [size =\"19326976\"]\n  21 [size=\"39490560\", alpha=\"0.10\", expect_size=\"15796224\"] \n  21 -> 38 [size =\"15796224\"]\n  21 -> 39 [size =\"15796224\"]\n  21 -> 41 [size =\"15796224\"]\n  21 -> 43 [size =\"15796224\"]\n  21 -> 44 [size =\"15796224\"]\n  21 -> 45 [size =\"15796224\"]\n  22 [size=\"27596800\", alpha=\"0.15\", expect_size=\"11038720\"] \n  22 -> 33 [size =\"11038720\"]\n  22 -> 36 [size =\"11038720\"]\n  22 -> 37 [size =\"11038720\"]\n  22 -> 39 [size =\"11038720\"]\n  22 -> 42 [size =\"11038720\"]\n  22 -> 44 [size =\"11038720\"]\n  22 -> 45 [size =\"11038720\"]\n  23 [size=\"98810880\", alpha=\"0.20\", expect_size=\"39524352\"] \n  23 -> 33 [size =\"39524352\"]\n  23 -> 35 [size =\"39524352\"]\n  23 -> 38 [size =\"39524352\"]\n  23 -> 39 [size =\"39524352\"]\n  23 -> 42 [size =\"39524352\"]\n  23 -> 43 [size =\"39524352\"]\n  23 -> 44 [size =\"39524352\"]\n  23 -> 45 [size =\"39524352\"]\n  24 [size=\"64501760\", alpha=\"0.05\", expect_size=\"25800704\"] \n  24 -> 33 [size =\"25800704\"]\n  24 -> 39 [size =\"25800704\"]\n  24 -> 43 [size =\"25800704\"]\n  24 -> 44 [size =\"25800704\"]\n  24 -> 45 [size =\"25800704\"]\n  25 [size=\"85271040\", alpha=\"0.13\", expect_size=\"34108416\"] \n  25 -> 34 [size =\"34108416\"]\n  25 -> 36 [size =\"34108416\"]\n  25 -> 37 [size =\"34108416\"]\n  25 -> 38 [size =\"34108416\"]\n  25 -> 44 [size =\"34108416\"]\n  26 [size=\"32222720\", alpha=\"0.17\", expect_size=\"12889088\"] \n  26 -> 33 [size =\"12889088\"]\n  26 -> 34 [size =\"12889088\"]\n  26 -> 42 [size =\"12889088\"]\n  26 -> 44 [size =\"12889088\"]\n  27 [size=\"65297920\", alpha=\"0.05\", expect_size=\"26119168\"] \n  27 -> 33 [size =\"26119168\"]\n  27 -> 34 [size =\"26119168\"]\n  27 -> 36 [size =\"26119168\"]\n  27 -> 38 [size =\"26119168\"]\n  27 -> 43 [size =\"26119168\"]\n  28 [size=\"53550080\", alpha=\"0.07\", expect_size=\"21420032\"] \n  28 -> 33 [size =\"21420032\"]\n  28 -> 34 [size =\"21420032\"]\n  28 -> 36 [size =\"21420032\"]\n  28 -> 38 [size =\"21420032\"]\n  28 -> 39 [size =\"21420032\"]\n  28 -> 43 [size =\"21420032\"]\n  28 -> 44 [size =\"21420032\"]\n  29 [size=\"68236800\", alpha=\"0.07\", expect_size=\"27294720\"] \n  29 -> 33 [size =\"27294720\"]\n  29 -> 34 [size =\"27294720\"]\n  29 -> 36 [size =\"27294720\"]\n  29 -> 38 [size =\"27294720\"]\n  29 -> 41 [size =\"27294720\"]\n  29 -> 42 [size =\"27294720\"]\n  29 -> 44 [size =\"27294720\"]\n  30 [size=\"52016640\", alpha=\"0.17\", expect_size=\"20806656\"] \n  30 -> 33 [size =\"20806656\"]\n  30 -> 34 [size =\"20806656\"]\n  30 -> 35 [size =\"20806656\"]\n  30 -> 36 [size =\"20806656\"]\n  30 -> 38 [size =\"20806656\"]\n  30 -> 42 [size =\"20806656\"]\n  30 -> 43 [size =\"20806656\"]\n  30 -> 44 [size =\"20806656\"]\n  30 -> 45 [size =\"20806656\"]\n  31 [size=\"21818880\", alpha=\"0.08\", expect_size=\"8727552\"] \n  31 -> 33 [size =\"8727552\"]\n  31 -> 36 [size =\"8727552\"]\n  31 -> 38 [size =\"8727552\"]\n  31 -> 44 [size =\"8727552\"]\n  31 -> 45 [size =\"8727552\"]\n  32 [size=\"80847360\", alpha=\"0.06\", expect_size=\"32338944\"] \n  32 -> 33 [size =\"32338944\"]\n  32 -> 34 [size =\"32338944\"]\n  32 -> 38 [size =\"32338944\"]\n  32 -> 42 [size =\"32338944\"]\n  32 -> 43 [size =\"32338944\"]\n  32 -> 44 [size =\"32338944\"]\n  32 -> 45 [size =\"32338944\"]\n  33 [size=\"49164800\", alpha=\"0.01\", expect_size=\"19665920\"] \n  34 [size=\"47705600\", alpha=\"0.15\", expect_size=\"19082240\"] \n  35 [size=\"78330880\", alpha=\"0.16\", expect_size=\"31332352\"] \n  36 [size=\"37301760\", alpha=\"0.15\", expect_size=\"14920704\"] \n  37 [size=\"19246080\", alpha=\"0.11\", expect_size=\"7698432\"] \n  38 [size=\"47255040\", alpha=\"0.03\", expect_size=\"18902016\"] \n  39 [size=\"90101760\", alpha=\"0.14\", expect_size=\"36040704\"] \n  40 [size=\"15552000\", alpha=\"0.10\", expect_size=\"6220800\"] \n  41 [size=\"118056960\", alpha=\"0.12\", expect_size=\"47222784\"] \n  42 [size=\"45332480\", alpha=\"0.15\", expect_size=\"18132992\"] \n  43 [size=\"78343680\", alpha=\"0.14\", expect_size=\"31337472\"] \n  44 [size=\"82053120\", alpha=\"0.01\", expect_size=\"32821248\"] \n  45 [size=\"53544960\", alpha=\"0.20\", expect_size=\"21417984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63799296\", alpha=\"0.06\", expect_size=\"31899648\"] \n  1 -> 2 [size =\"31899648\"]\n  2 [size=\"47495168\", alpha=\"0.01\", expect_size=\"23747584\"] \n  2 -> 3 [size =\"23747584\"]\n  3 [size=\"79276032\", alpha=\"0.08\", expect_size=\"39638016\"] \n  3 -> 4 [size =\"39638016\"]\n  4 [size=\"76771328\", alpha=\"0.00\", expect_size=\"38385664\"] \n  4 -> 5 [size =\"38385664\"]\n  5 [size=\"57348096\", alpha=\"0.11\", expect_size=\"28674048\"] \n  5 -> 6 [size =\"28674048\"]\n  6 [size=\"21387264\", alpha=\"0.07\", expect_size=\"10693632\"] \n  6 -> 7 [size =\"10693632\"]\n  7 [size=\"17817600\", alpha=\"0.16\", expect_size=\"8908800\"] \n  7 -> 8 [size =\"8908800\"]\n  8 [size=\"36478976\", alpha=\"0.03\", expect_size=\"18239488\"] \n  8 -> 9 [size =\"18239488\"]\n  9 [size=\"61063168\", alpha=\"0.16\", expect_size=\"30531584\"] \n  9 -> 10 [size =\"30531584\"]\n  10 [size=\"98672640\", alpha=\"0.13\", expect_size=\"49336320\"] \n  10 -> 11 [size =\"49336320\"]\n  11 [size=\"36202496\", alpha=\"0.07\", expect_size=\"18101248\"] \n  11 -> 12 [size =\"18101248\"]\n  12 [size=\"64137216\", alpha=\"0.03\", expect_size=\"32068608\"] \n  12 -> 13 [size =\"32068608\"]\n  13 [size=\"70039552\", alpha=\"0.13\", expect_size=\"35019776\"] \n  13 -> 14 [size =\"35019776\"]\n  14 [size=\"13613056\", alpha=\"0.07\", expect_size=\"6806528\"] \n  14 -> 15 [size =\"6806528\"]\n  15 [size=\"14759936\", alpha=\"0.13\", expect_size=\"7379968\"] \n  15 -> 16 [size =\"7379968\"]\n  16 [size=\"66111488\", alpha=\"0.01\", expect_size=\"33055744\"] \n  16 -> 17 [size =\"33055744\"]\n  17 [size=\"100485120\", alpha=\"0.11\", expect_size=\"50242560\"] \n  17 -> 18 [size =\"50242560\"]\n  18 [size=\"81278976\", alpha=\"0.11\", expect_size=\"40639488\"] \n  18 -> 19 [size =\"40639488\"]\n  19 [size=\"95680512\", alpha=\"0.13\", expect_size=\"47840256\"] \n  19 -> 20 [size =\"47840256\"]\n  20 [size=\"74944512\", alpha=\"0.15\", expect_size=\"37472256\"] \n  20 -> 21 [size =\"37472256\"]\n  21 [size=\"44124160\", alpha=\"0.07\", expect_size=\"22062080\"] \n  21 -> 22 [size =\"22062080\"]\n  22 [size=\"77643776\", alpha=\"0.08\", expect_size=\"38821888\"] \n  22 -> 23 [size =\"38821888\"]\n  23 [size=\"91568128\", alpha=\"0.03\", expect_size=\"45784064\"] \n  23 -> 24 [size =\"45784064\"]\n  24 [size=\"59615232\", alpha=\"0.13\", expect_size=\"29807616\"] \n  24 -> 25 [size =\"29807616\"]\n  25 [size=\"92669952\", alpha=\"0.12\", expect_size=\"46334976\"] \n  25 -> 26 [size =\"46334976\"]\n  26 [size=\"60411904\", alpha=\"0.13\", expect_size=\"30205952\"] \n  26 -> 27 [size =\"30205952\"]\n  27 [size=\"66836480\", alpha=\"0.16\", expect_size=\"33418240\"] \n  27 -> 28 [size =\"33418240\"]\n  28 [size=\"25112576\", alpha=\"0.05\", expect_size=\"12556288\"] \n  28 -> 29 [size =\"12556288\"]\n  29 [size=\"76230656\", alpha=\"0.04\", expect_size=\"38115328\"] \n  29 -> 30 [size =\"38115328\"]\n  30 [size=\"43481088\", alpha=\"0.02\", expect_size=\"21740544\"] \n  30 -> 31 [size =\"21740544\"]\n  31 [size=\"17856512\", alpha=\"0.06\", expect_size=\"8928256\"] \n  31 -> 32 [size =\"8928256\"]\n  32 [size=\"52674560\", alpha=\"0.00\", expect_size=\"26337280\"] \n  32 -> 33 [size =\"26337280\"]\n  33 [size=\"90568704\", alpha=\"0.08\", expect_size=\"45284352\"] \n  33 -> 34 [size =\"45284352\"]\n  34 [size=\"11589632\", alpha=\"0.16\", expect_size=\"5794816\"] \n  34 -> 35 [size =\"5794816\"]\n  35 [size=\"70766592\", alpha=\"0.05\", expect_size=\"35383296\"] \n  35 -> 36 [size =\"35383296\"]\n  36 [size=\"31846400\", alpha=\"0.06\", expect_size=\"15923200\"] \n  36 -> 37 [size =\"15923200\"]\n  37 [size=\"94478336\", alpha=\"0.06\", expect_size=\"47239168\"] \n  37 -> 38 [size =\"47239168\"]\n  38 [size=\"77246464\", alpha=\"0.01\", expect_size=\"38623232\"] \n  38 -> 39 [size =\"38623232\"]\n  39 [size=\"100519936\", alpha=\"0.13\", expect_size=\"50259968\"] \n  39 -> 40 [size =\"50259968\"]\n  40 [size=\"26132480\", alpha=\"0.00\", expect_size=\"13066240\"] \n  40 -> 41 [size =\"13066240\"]\n  41 [size=\"36644864\", alpha=\"0.14\", expect_size=\"18322432\"] \n  41 -> 42 [size =\"18322432\"]\n  42 [size=\"63401984\", alpha=\"0.02\", expect_size=\"31700992\"] \n  42 -> 43 [size =\"31700992\"]\n  43 [size=\"65687552\", alpha=\"0.07\", expect_size=\"32843776\"] \n  43 -> 44 [size =\"32843776\"]\n  44 [size=\"103053312\", alpha=\"0.02\", expect_size=\"51526656\"] \n  44 -> 45 [size =\"51526656\"]\n  45 [size=\"84254720\", alpha=\"0.15\", expect_size=\"42127360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133362347\", alpha=\"0.02\", expect_size=\"40008704\"] \n  1 -> 4 [size =\"40008704\"]\n  1 -> 5 [size =\"40008704\"]\n  1 -> 6 [size =\"40008704\"]\n  2 [size=\"59057493\", alpha=\"0.02\", expect_size=\"17717248\"] \n  2 -> 5 [size =\"17717248\"]\n  3 [size=\"64911360\", alpha=\"0.15\", expect_size=\"19473408\"] \n  3 -> 4 [size =\"19473408\"]\n  3 -> 6 [size =\"19473408\"]\n  4 [size=\"112295253\", alpha=\"0.01\", expect_size=\"33688576\"] \n  4 -> 7 [size =\"33688576\"]\n  4 -> 9 [size =\"33688576\"]\n  5 [size=\"59753813\", alpha=\"0.18\", expect_size=\"17926144\"] \n  5 -> 8 [size =\"17926144\"]\n  5 -> 10 [size =\"17926144\"]\n  6 [size=\"56197120\", alpha=\"0.00\", expect_size=\"16859136\"] \n  6 -> 7 [size =\"16859136\"]\n  6 -> 8 [size =\"16859136\"]\n  6 -> 10 [size =\"16859136\"]\n  7 [size=\"114629973\", alpha=\"0.15\", expect_size=\"34388992\"] \n  7 -> 11 [size =\"34388992\"]\n  7 -> 13 [size =\"34388992\"]\n  7 -> 14 [size =\"34388992\"]\n  8 [size=\"67563520\", alpha=\"0.01\", expect_size=\"20269056\"] \n  9 [size=\"101515947\", alpha=\"0.02\", expect_size=\"30454784\"] \n  9 -> 12 [size =\"30454784\"]\n  10 [size=\"161634987\", alpha=\"0.08\", expect_size=\"48490496\"] \n  10 -> 12 [size =\"48490496\"]\n  10 -> 13 [size =\"48490496\"]\n  10 -> 14 [size =\"48490496\"]\n  11 [size=\"55965013\", alpha=\"0.20\", expect_size=\"16789504\"] \n  12 [size=\"68130133\", alpha=\"0.06\", expect_size=\"20439040\"] \n  12 -> 18 [size =\"20439040\"]\n  13 [size=\"84005547\", alpha=\"0.14\", expect_size=\"25201664\"] \n  13 -> 15 [size =\"25201664\"]\n  13 -> 17 [size =\"25201664\"]\n  14 [size=\"46735360\", alpha=\"0.10\", expect_size=\"14020608\"] \n  14 -> 16 [size =\"14020608\"]\n  15 [size=\"54599680\", alpha=\"0.00\", expect_size=\"16379904\"] \n  15 -> 19 [size =\"16379904\"]\n  16 [size=\"37594453\", alpha=\"0.11\", expect_size=\"11278336\"] \n  16 -> 19 [size =\"11278336\"]\n  17 [size=\"38488747\", alpha=\"0.06\", expect_size=\"11546624\"] \n  18 [size=\"158692693\", alpha=\"0.03\", expect_size=\"47607808\"] \n  19 [size=\"163379200\", alpha=\"0.17\", expect_size=\"49013760\"] \n  19 -> 20 [size =\"49013760\"]\n  19 -> 21 [size =\"49013760\"]\n  20 [size=\"24313173\", alpha=\"0.11\", expect_size=\"7293952\"] \n  21 [size=\"91074560\", alpha=\"0.20\", expect_size=\"27322368\"] \n  21 -> 22 [size =\"27322368\"]\n  21 -> 23 [size =\"27322368\"]\n  22 [size=\"88159573\", alpha=\"0.14\", expect_size=\"26447872\"] \n  22 -> 25 [size =\"26447872\"]\n  22 -> 26 [size =\"26447872\"]\n  23 [size=\"137639253\", alpha=\"0.14\", expect_size=\"41291776\"] \n  23 -> 24 [size =\"41291776\"]\n  24 [size=\"93453653\", alpha=\"0.06\", expect_size=\"28036096\"] \n  24 -> 27 [size =\"28036096\"]\n  24 -> 28 [size =\"28036096\"]\n  24 -> 29 [size =\"28036096\"]\n  25 [size=\"168997547\", alpha=\"0.04\", expect_size=\"50699264\"] \n  25 -> 27 [size =\"50699264\"]\n  25 -> 29 [size =\"50699264\"]\n  26 [size=\"172045653\", alpha=\"0.06\", expect_size=\"51613696\"] \n  27 [size=\"98170880\", alpha=\"0.01\", expect_size=\"29451264\"] \n  27 -> 30 [size =\"29451264\"]\n  28 [size=\"148322987\", alpha=\"0.02\", expect_size=\"44496896\"] \n  29 [size=\"172325547\", alpha=\"0.14\", expect_size=\"51697664\"] \n  30 [size=\"145923413\", alpha=\"0.04\", expect_size=\"43777024\"] \n  30 -> 31 [size =\"43777024\"]\n  30 -> 32 [size =\"43777024\"]\n  31 [size=\"73007787\", alpha=\"0.19\", expect_size=\"21902336\"] \n  31 -> 34 [size =\"21902336\"]\n  32 [size=\"69468160\", alpha=\"0.01\", expect_size=\"20840448\"] \n  32 -> 33 [size =\"20840448\"]\n  33 [size=\"19602773\", alpha=\"0.11\", expect_size=\"5880832\"] \n  33 -> 35 [size =\"5880832\"]\n  33 -> 37 [size =\"5880832\"]\n  34 [size=\"128136533\", alpha=\"0.05\", expect_size=\"38440960\"] \n  34 -> 36 [size =\"38440960\"]\n  34 -> 38 [size =\"38440960\"]\n  35 [size=\"18025813\", alpha=\"0.03\", expect_size=\"5407744\"] \n  36 [size=\"46124373\", alpha=\"0.04\", expect_size=\"13837312\"] \n  37 [size=\"93863253\", alpha=\"0.08\", expect_size=\"28158976\"] \n  37 -> 39 [size =\"28158976\"]\n  38 [size=\"101113173\", alpha=\"0.10\", expect_size=\"30333952\"] \n  39 [size=\"117961387\", alpha=\"0.10\", expect_size=\"35388416\"] \n  39 -> 40 [size =\"35388416\"]\n  39 -> 41 [size =\"35388416\"]\n  40 [size=\"71161173\", alpha=\"0.11\", expect_size=\"21348352\"] \n  41 [size=\"104878080\", alpha=\"0.01\", expect_size=\"31463424\"] \n  41 -> 42 [size =\"31463424\"]\n  42 [size=\"100311040\", alpha=\"0.01\", expect_size=\"30093312\"] \n  42 -> 43 [size =\"30093312\"]\n  42 -> 44 [size =\"30093312\"]\n  43 [size=\"108117333\", alpha=\"0.16\", expect_size=\"32435200\"] \n  44 [size=\"37546667\", alpha=\"0.20\", expect_size=\"11264000\"] \n  44 -> 45 [size =\"11264000\"]\n  45 [size=\"75137707\", alpha=\"0.04\", expect_size=\"22541312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25182720\", alpha=\"0.13\", expect_size=\"10073088\"] \n  1 -> 12 [size =\"10073088\"]\n  1 -> 13 [size =\"10073088\"]\n  1 -> 14 [size =\"10073088\"]\n  1 -> 18 [size =\"10073088\"]\n  1 -> 20 [size =\"10073088\"]\n  1 -> 23 [size =\"10073088\"]\n  1 -> 24 [size =\"10073088\"]\n  2 [size=\"89927680\", alpha=\"0.19\", expect_size=\"35971072\"] \n  2 -> 14 [size =\"35971072\"]\n  2 -> 15 [size =\"35971072\"]\n  2 -> 17 [size =\"35971072\"]\n  2 -> 20 [size =\"35971072\"]\n  2 -> 20 [size =\"35971072\"]\n  2 -> 24 [size =\"35971072\"]\n  3 [size=\"31380480\", alpha=\"0.11\", expect_size=\"12552192\"] \n  3 -> 13 [size =\"12552192\"]\n  3 -> 14 [size =\"12552192\"]\n  3 -> 18 [size =\"12552192\"]\n  3 -> 22 [size =\"12552192\"]\n  3 -> 24 [size =\"12552192\"]\n  4 [size=\"76871680\", alpha=\"0.14\", expect_size=\"30748672\"] \n  4 -> 11 [size =\"30748672\"]\n  4 -> 12 [size =\"30748672\"]\n  4 -> 13 [size =\"30748672\"]\n  4 -> 17 [size =\"30748672\"]\n  4 -> 18 [size =\"30748672\"]\n  4 -> 20 [size =\"30748672\"]\n  4 -> 21 [size =\"30748672\"]\n  4 -> 23 [size =\"30748672\"]\n  5 [size=\"109606400\", alpha=\"0.20\", expect_size=\"43842560\"] \n  5 -> 12 [size =\"43842560\"]\n  5 -> 15 [size =\"43842560\"]\n  5 -> 16 [size =\"43842560\"]\n  5 -> 18 [size =\"43842560\"]\n  5 -> 22 [size =\"43842560\"]\n  5 -> 23 [size =\"43842560\"]\n  6 [size=\"82273280\", alpha=\"0.07\", expect_size=\"32909312\"] \n  6 -> 10 [size =\"32909312\"]\n  6 -> 11 [size =\"32909312\"]\n  6 -> 15 [size =\"32909312\"]\n  6 -> 16 [size =\"32909312\"]\n  6 -> 20 [size =\"32909312\"]\n  7 [size=\"100454400\", alpha=\"0.13\", expect_size=\"40181760\"] \n  7 -> 11 [size =\"40181760\"]\n  7 -> 13 [size =\"40181760\"]\n  7 -> 16 [size =\"40181760\"]\n  7 -> 18 [size =\"40181760\"]\n  7 -> 19 [size =\"40181760\"]\n  7 -> 20 [size =\"40181760\"]\n  8 [size=\"20531200\", alpha=\"0.00\", expect_size=\"8212480\"] \n  8 -> 15 [size =\"8212480\"]\n  9 [size=\"37880320\", alpha=\"0.17\", expect_size=\"15152128\"] \n  9 -> 14 [size =\"15152128\"]\n  9 -> 16 [size =\"15152128\"]\n  9 -> 19 [size =\"15152128\"]\n  9 -> 23 [size =\"15152128\"]\n  9 -> 24 [size =\"15152128\"]\n  10 [size=\"38284800\", alpha=\"0.18\", expect_size=\"15313920\"] \n  10 -> 25 [size =\"15313920\"]\n  10 -> 32 [size =\"15313920\"]\n  10 -> 33 [size =\"15313920\"]\n  11 [size=\"126819840\", alpha=\"0.05\", expect_size=\"50727936\"] \n  11 -> 25 [size =\"50727936\"]\n  11 -> 31 [size =\"50727936\"]\n  11 -> 33 [size =\"50727936\"]\n  11 -> 34 [size =\"50727936\"]\n  12 [size=\"84810240\", alpha=\"0.00\", expect_size=\"33924096\"] \n  12 -> 25 [size =\"33924096\"]\n  12 -> 31 [size =\"33924096\"]\n  13 [size=\"77555200\", alpha=\"0.03\", expect_size=\"31022080\"] \n  13 -> 27 [size =\"31022080\"]\n  13 -> 30 [size =\"31022080\"]\n  14 [size=\"26283520\", alpha=\"0.15\", expect_size=\"10513408\"] \n  14 -> 26 [size =\"10513408\"]\n  14 -> 27 [size =\"10513408\"]\n  14 -> 30 [size =\"10513408\"]\n  14 -> 31 [size =\"10513408\"]\n  14 -> 32 [size =\"10513408\"]\n  14 -> 34 [size =\"10513408\"]\n  15 [size=\"109416960\", alpha=\"0.02\", expect_size=\"43766784\"] \n  15 -> 25 [size =\"43766784\"]\n  15 -> 27 [size =\"43766784\"]\n  15 -> 31 [size =\"43766784\"]\n  15 -> 32 [size =\"43766784\"]\n  15 -> 34 [size =\"43766784\"]\n  16 [size=\"108659200\", alpha=\"0.02\", expect_size=\"43463680\"] \n  16 -> 25 [size =\"43463680\"]\n  16 -> 27 [size =\"43463680\"]\n  16 -> 32 [size =\"43463680\"]\n  17 [size=\"29160960\", alpha=\"0.16\", expect_size=\"11664384\"] \n  17 -> 25 [size =\"11664384\"]\n  17 -> 29 [size =\"11664384\"]\n  17 -> 31 [size =\"11664384\"]\n  17 -> 32 [size =\"11664384\"]\n  17 -> 33 [size =\"11664384\"]\n  18 [size=\"103454720\", alpha=\"0.00\", expect_size=\"41381888\"] \n  18 -> 25 [size =\"41381888\"]\n  18 -> 31 [size =\"41381888\"]\n  18 -> 32 [size =\"41381888\"]\n  18 -> 32 [size =\"41381888\"]\n  18 -> 33 [size =\"41381888\"]\n  19 [size=\"104071680\", alpha=\"0.05\", expect_size=\"41628672\"] \n  19 -> 31 [size =\"41628672\"]\n  19 -> 32 [size =\"41628672\"]\n  20 [size=\"83832320\", alpha=\"0.03\", expect_size=\"33532928\"] \n  20 -> 25 [size =\"33532928\"]\n  20 -> 27 [size =\"33532928\"]\n  20 -> 32 [size =\"33532928\"]\n  20 -> 33 [size =\"33532928\"]\n  21 [size=\"73336320\", alpha=\"0.04\", expect_size=\"29334528\"] \n  21 -> 27 [size =\"29334528\"]\n  21 -> 28 [size =\"29334528\"]\n  21 -> 33 [size =\"29334528\"]\n  22 [size=\"104691200\", alpha=\"0.17\", expect_size=\"41876480\"] \n  22 -> 25 [size =\"41876480\"]\n  22 -> 27 [size =\"41876480\"]\n  22 -> 32 [size =\"41876480\"]\n  22 -> 33 [size =\"41876480\"]\n  23 [size=\"105797120\", alpha=\"0.13\", expect_size=\"42318848\"] \n  23 -> 25 [size =\"42318848\"]\n  23 -> 27 [size =\"42318848\"]\n  23 -> 33 [size =\"42318848\"]\n  24 [size=\"125698560\", alpha=\"0.00\", expect_size=\"50279424\"] \n  24 -> 27 [size =\"50279424\"]\n  24 -> 33 [size =\"50279424\"]\n  25 [size=\"96363520\", alpha=\"0.04\", expect_size=\"38545408\"] \n  25 -> 36 [size =\"38545408\"]\n  25 -> 38 [size =\"38545408\"]\n  25 -> 40 [size =\"38545408\"]\n  25 -> 43 [size =\"38545408\"]\n  25 -> 44 [size =\"38545408\"]\n  26 [size=\"108812800\", alpha=\"0.19\", expect_size=\"43525120\"] \n  26 -> 35 [size =\"43525120\"]\n  26 -> 37 [size =\"43525120\"]\n  26 -> 38 [size =\"43525120\"]\n  26 -> 44 [size =\"43525120\"]\n  27 [size=\"118853120\", alpha=\"0.09\", expect_size=\"47541248\"] \n  27 -> 36 [size =\"47541248\"]\n  27 -> 37 [size =\"47541248\"]\n  27 -> 39 [size =\"47541248\"]\n  27 -> 40 [size =\"47541248\"]\n  27 -> 44 [size =\"47541248\"]\n  28 [size=\"95080960\", alpha=\"0.01\", expect_size=\"38032384\"] \n  28 -> 37 [size =\"38032384\"]\n  28 -> 40 [size =\"38032384\"]\n  28 -> 43 [size =\"38032384\"]\n  28 -> 45 [size =\"38032384\"]\n  29 [size=\"96174080\", alpha=\"0.16\", expect_size=\"38469632\"] \n  29 -> 35 [size =\"38469632\"]\n  29 -> 38 [size =\"38469632\"]\n  29 -> 39 [size =\"38469632\"]\n  29 -> 40 [size =\"38469632\"]\n  29 -> 41 [size =\"38469632\"]\n  29 -> 43 [size =\"38469632\"]\n  29 -> 44 [size =\"38469632\"]\n  30 [size=\"125928960\", alpha=\"0.16\", expect_size=\"50371584\"] \n  30 -> 35 [size =\"50371584\"]\n  30 -> 36 [size =\"50371584\"]\n  30 -> 39 [size =\"50371584\"]\n  31 [size=\"27261440\", alpha=\"0.15\", expect_size=\"10904576\"] \n  31 -> 38 [size =\"10904576\"]\n  31 -> 40 [size =\"10904576\"]\n  31 -> 45 [size =\"10904576\"]\n  32 [size=\"48179200\", alpha=\"0.07\", expect_size=\"19271680\"] \n  32 -> 37 [size =\"19271680\"]\n  32 -> 39 [size =\"19271680\"]\n  33 [size=\"29570560\", alpha=\"0.09\", expect_size=\"11828224\"] \n  33 -> 36 [size =\"11828224\"]\n  33 -> 38 [size =\"11828224\"]\n  33 -> 39 [size =\"11828224\"]\n  33 -> 40 [size =\"11828224\"]\n  33 -> 43 [size =\"11828224\"]\n  33 -> 44 [size =\"11828224\"]\n  33 -> 45 [size =\"11828224\"]\n  34 [size=\"107676160\", alpha=\"0.13\", expect_size=\"43070464\"] \n  34 -> 37 [size =\"43070464\"]\n  34 -> 38 [size =\"43070464\"]\n  34 -> 42 [size =\"43070464\"]\n  35 [size=\"110333440\", alpha=\"0.14\", expect_size=\"44133376\"] \n  36 [size=\"16076800\", alpha=\"0.11\", expect_size=\"6430720\"] \n  37 [size=\"130004480\", alpha=\"0.11\", expect_size=\"52001792\"] \n  38 [size=\"67604480\", alpha=\"0.06\", expect_size=\"27041792\"] \n  39 [size=\"72232960\", alpha=\"0.16\", expect_size=\"28893184\"] \n  40 [size=\"50698240\", alpha=\"0.18\", expect_size=\"20279296\"] \n  41 [size=\"28177920\", alpha=\"0.11\", expect_size=\"11271168\"] \n  42 [size=\"118389760\", alpha=\"0.19\", expect_size=\"47355904\"] \n  43 [size=\"39139840\", alpha=\"0.03\", expect_size=\"15655936\"] \n  44 [size=\"90810880\", alpha=\"0.06\", expect_size=\"36324352\"] \n  45 [size=\"50647040\", alpha=\"0.03\", expect_size=\"20258816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35307520\", alpha=\"0.19\", expect_size=\"14123008\"] \n  1 -> 25 [size =\"14123008\"]\n  1 -> 31 [size =\"14123008\"]\n  1 -> 33 [size =\"14123008\"]\n  1 -> 34 [size =\"14123008\"]\n  1 -> 38 [size =\"14123008\"]\n  1 -> 39 [size =\"14123008\"]\n  1 -> 39 [size =\"14123008\"]\n  2 [size=\"107087360\", alpha=\"0.15\", expect_size=\"42834944\"] \n  2 -> 34 [size =\"42834944\"]\n  2 -> 35 [size =\"42834944\"]\n  2 -> 36 [size =\"42834944\"]\n  2 -> 38 [size =\"42834944\"]\n  2 -> 39 [size =\"42834944\"]\n  2 -> 40 [size =\"42834944\"]\n  3 [size=\"113937920\", alpha=\"0.14\", expect_size=\"45575168\"] \n  3 -> 37 [size =\"45575168\"]\n  4 [size=\"129105920\", alpha=\"0.03\", expect_size=\"51642368\"] \n  4 -> 26 [size =\"51642368\"]\n  4 -> 32 [size =\"51642368\"]\n  4 -> 33 [size =\"51642368\"]\n  4 -> 37 [size =\"51642368\"]\n  5 [size=\"20884480\", alpha=\"0.14\", expect_size=\"8353792\"] \n  5 -> 26 [size =\"8353792\"]\n  5 -> 31 [size =\"8353792\"]\n  5 -> 32 [size =\"8353792\"]\n  5 -> 34 [size =\"8353792\"]\n  5 -> 35 [size =\"8353792\"]\n  5 -> 36 [size =\"8353792\"]\n  5 -> 37 [size =\"8353792\"]\n  5 -> 41 [size =\"8353792\"]\n  5 -> 45 [size =\"8353792\"]\n  6 [size=\"58270720\", alpha=\"0.18\", expect_size=\"23308288\"] \n  6 -> 25 [size =\"23308288\"]\n  6 -> 26 [size =\"23308288\"]\n  6 -> 31 [size =\"23308288\"]\n  6 -> 37 [size =\"23308288\"]\n  6 -> 38 [size =\"23308288\"]\n  6 -> 39 [size =\"23308288\"]\n  6 -> 44 [size =\"23308288\"]\n  7 [size=\"86768640\", alpha=\"0.03\", expect_size=\"34707456\"] \n  7 -> 25 [size =\"34707456\"]\n  7 -> 26 [size =\"34707456\"]\n  7 -> 30 [size =\"34707456\"]\n  7 -> 32 [size =\"34707456\"]\n  7 -> 34 [size =\"34707456\"]\n  7 -> 38 [size =\"34707456\"]\n  7 -> 40 [size =\"34707456\"]\n  8 [size=\"66882560\", alpha=\"0.01\", expect_size=\"26753024\"] \n  8 -> 25 [size =\"26753024\"]\n  8 -> 26 [size =\"26753024\"]\n  8 -> 28 [size =\"26753024\"]\n  8 -> 33 [size =\"26753024\"]\n  8 -> 43 [size =\"26753024\"]\n  9 [size=\"87516160\", alpha=\"0.18\", expect_size=\"35006464\"] \n  9 -> 25 [size =\"35006464\"]\n  9 -> 31 [size =\"35006464\"]\n  9 -> 36 [size =\"35006464\"]\n  9 -> 39 [size =\"35006464\"]\n  9 -> 44 [size =\"35006464\"]\n  10 [size=\"56921600\", alpha=\"0.03\", expect_size=\"22768640\"] \n  10 -> 29 [size =\"22768640\"]\n  10 -> 34 [size =\"22768640\"]\n  10 -> 35 [size =\"22768640\"]\n  10 -> 39 [size =\"22768640\"]\n  10 -> 40 [size =\"22768640\"]\n  10 -> 44 [size =\"22768640\"]\n  10 -> 45 [size =\"22768640\"]\n  11 [size=\"115322880\", alpha=\"0.00\", expect_size=\"46129152\"] \n  11 -> 31 [size =\"46129152\"]\n  11 -> 34 [size =\"46129152\"]\n  11 -> 35 [size =\"46129152\"]\n  11 -> 36 [size =\"46129152\"]\n  11 -> 39 [size =\"46129152\"]\n  11 -> 40 [size =\"46129152\"]\n  12 [size=\"111928320\", alpha=\"0.08\", expect_size=\"44771328\"] \n  12 -> 30 [size =\"44771328\"]\n  12 -> 35 [size =\"44771328\"]\n  12 -> 39 [size =\"44771328\"]\n  12 -> 40 [size =\"44771328\"]\n  12 -> 44 [size =\"44771328\"]\n  12 -> 45 [size =\"44771328\"]\n  13 [size=\"81541120\", alpha=\"0.10\", expect_size=\"32616448\"] \n  13 -> 30 [size =\"32616448\"]\n  13 -> 32 [size =\"32616448\"]\n  13 -> 37 [size =\"32616448\"]\n  13 -> 38 [size =\"32616448\"]\n  13 -> 39 [size =\"32616448\"]\n  13 -> 43 [size =\"32616448\"]\n  13 -> 44 [size =\"32616448\"]\n  14 [size=\"43256320\", alpha=\"0.17\", expect_size=\"17302528\"] \n  14 -> 26 [size =\"17302528\"]\n  14 -> 27 [size =\"17302528\"]\n  14 -> 28 [size =\"17302528\"]\n  14 -> 29 [size =\"17302528\"]\n  14 -> 30 [size =\"17302528\"]\n  14 -> 35 [size =\"17302528\"]\n  14 -> 44 [size =\"17302528\"]\n  14 -> 45 [size =\"17302528\"]\n  15 [size=\"60513280\", alpha=\"0.20\", expect_size=\"24205312\"] \n  15 -> 28 [size =\"24205312\"]\n  15 -> 30 [size =\"24205312\"]\n  15 -> 32 [size =\"24205312\"]\n  15 -> 35 [size =\"24205312\"]\n  15 -> 37 [size =\"24205312\"]\n  15 -> 41 [size =\"24205312\"]\n  15 -> 44 [size =\"24205312\"]\n  15 -> 45 [size =\"24205312\"]\n  16 [size=\"23260160\", alpha=\"0.18\", expect_size=\"9304064\"] \n  16 -> 26 [size =\"9304064\"]\n  16 -> 29 [size =\"9304064\"]\n  16 -> 30 [size =\"9304064\"]\n  16 -> 31 [size =\"9304064\"]\n  16 -> 32 [size =\"9304064\"]\n  16 -> 37 [size =\"9304064\"]\n  16 -> 39 [size =\"9304064\"]\n  16 -> 42 [size =\"9304064\"]\n  16 -> 44 [size =\"9304064\"]\n  16 -> 45 [size =\"9304064\"]\n  17 [size=\"131069440\", alpha=\"0.16\", expect_size=\"52427776\"] \n  17 -> 26 [size =\"52427776\"]\n  17 -> 30 [size =\"52427776\"]\n  17 -> 31 [size =\"52427776\"]\n  17 -> 31 [size =\"52427776\"]\n  17 -> 34 [size =\"52427776\"]\n  17 -> 37 [size =\"52427776\"]\n  17 -> 44 [size =\"52427776\"]\n  18 [size=\"30932480\", alpha=\"0.18\", expect_size=\"12372992\"] \n  18 -> 27 [size =\"12372992\"]\n  18 -> 28 [size =\"12372992\"]\n  18 -> 30 [size =\"12372992\"]\n  18 -> 31 [size =\"12372992\"]\n  18 -> 34 [size =\"12372992\"]\n  18 -> 35 [size =\"12372992\"]\n  18 -> 37 [size =\"12372992\"]\n  18 -> 39 [size =\"12372992\"]\n  18 -> 40 [size =\"12372992\"]\n  19 [size=\"34234880\", alpha=\"0.06\", expect_size=\"13693952\"] \n  19 -> 26 [size =\"13693952\"]\n  19 -> 30 [size =\"13693952\"]\n  19 -> 31 [size =\"13693952\"]\n  19 -> 34 [size =\"13693952\"]\n  19 -> 34 [size =\"13693952\"]\n  19 -> 35 [size =\"13693952\"]\n  19 -> 37 [size =\"13693952\"]\n  19 -> 39 [size =\"13693952\"]\n  20 [size=\"22809600\", alpha=\"0.18\", expect_size=\"9123840\"] \n  20 -> 27 [size =\"9123840\"]\n  20 -> 34 [size =\"9123840\"]\n  21 [size=\"37583360\", alpha=\"0.13\", expect_size=\"15033344\"] \n  21 -> 27 [size =\"15033344\"]\n  21 -> 28 [size =\"15033344\"]\n  21 -> 32 [size =\"15033344\"]\n  21 -> 34 [size =\"15033344\"]\n  21 -> 35 [size =\"15033344\"]\n  21 -> 39 [size =\"15033344\"]\n  21 -> 40 [size =\"15033344\"]\n  21 -> 42 [size =\"15033344\"]\n  21 -> 45 [size =\"15033344\"]\n  22 [size=\"39728640\", alpha=\"0.04\", expect_size=\"15891456\"] \n  22 -> 25 [size =\"15891456\"]\n  22 -> 26 [size =\"15891456\"]\n  22 -> 27 [size =\"15891456\"]\n  22 -> 31 [size =\"15891456\"]\n  22 -> 34 [size =\"15891456\"]\n  22 -> 35 [size =\"15891456\"]\n  22 -> 38 [size =\"15891456\"]\n  22 -> 39 [size =\"15891456\"]\n  22 -> 40 [size =\"15891456\"]\n  22 -> 45 [size =\"15891456\"]\n  23 [size=\"85347840\", alpha=\"0.12\", expect_size=\"34139136\"] \n  23 -> 25 [size =\"34139136\"]\n  23 -> 29 [size =\"34139136\"]\n  23 -> 31 [size =\"34139136\"]\n  23 -> 40 [size =\"34139136\"]\n  23 -> 43 [size =\"34139136\"]\n  23 -> 44 [size =\"34139136\"]\n  24 [size=\"26071040\", alpha=\"0.20\", expect_size=\"10428416\"] \n  24 -> 26 [size =\"10428416\"]\n  24 -> 28 [size =\"10428416\"]\n  24 -> 30 [size =\"10428416\"]\n  24 -> 31 [size =\"10428416\"]\n  24 -> 32 [size =\"10428416\"]\n  24 -> 38 [size =\"10428416\"]\n  24 -> 39 [size =\"10428416\"]\n  24 -> 40 [size =\"10428416\"]\n  24 -> 43 [size =\"10428416\"]\n  24 -> 44 [size =\"10428416\"]\n  24 -> 45 [size =\"10428416\"]\n  25 [size=\"128568320\", alpha=\"0.09\", expect_size=\"51427328\"] \n  26 [size=\"128179200\", alpha=\"0.06\", expect_size=\"51271680\"] \n  27 [size=\"114152960\", alpha=\"0.15\", expect_size=\"45661184\"] \n  28 [size=\"92979200\", alpha=\"0.13\", expect_size=\"37191680\"] \n  29 [size=\"82938880\", alpha=\"0.04\", expect_size=\"33175552\"] \n  30 [size=\"120332800\", alpha=\"0.03\", expect_size=\"48133120\"] \n  31 [size=\"106624000\", alpha=\"0.18\", expect_size=\"42649600\"] \n  32 [size=\"64012800\", alpha=\"0.11\", expect_size=\"25605120\"] \n  33 [size=\"86481920\", alpha=\"0.15\", expect_size=\"34592768\"] \n  34 [size=\"38929920\", alpha=\"0.04\", expect_size=\"15571968\"] \n  35 [size=\"37360640\", alpha=\"0.02\", expect_size=\"14944256\"] \n  36 [size=\"89551360\", alpha=\"0.01\", expect_size=\"35820544\"] \n  37 [size=\"122700800\", alpha=\"0.19\", expect_size=\"49080320\"] \n  38 [size=\"92513280\", alpha=\"0.01\", expect_size=\"37005312\"] \n  39 [size=\"52759040\", alpha=\"0.07\", expect_size=\"21103616\"] \n  40 [size=\"77854720\", alpha=\"0.14\", expect_size=\"31141888\"] \n  41 [size=\"93647360\", alpha=\"0.06\", expect_size=\"37458944\"] \n  42 [size=\"84387840\", alpha=\"0.02\", expect_size=\"33755136\"] \n  43 [size=\"30935040\", alpha=\"0.10\", expect_size=\"12374016\"] \n  44 [size=\"119690240\", alpha=\"0.00\", expect_size=\"47876096\"] \n  45 [size=\"26908160\", alpha=\"0.10\", expect_size=\"10763264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102494208\", alpha=\"0.04\", expect_size=\"51247104\"] \n  1 -> 7 [size =\"51247104\"]\n  1 -> 9 [size =\"51247104\"]\n  2 [size=\"40527872\", alpha=\"0.05\", expect_size=\"20263936\"] \n  2 -> 7 [size =\"20263936\"]\n  2 -> 9 [size =\"20263936\"]\n  2 -> 11 [size =\"20263936\"]\n  3 [size=\"16406528\", alpha=\"0.11\", expect_size=\"8203264\"] \n  3 -> 9 [size =\"8203264\"]\n  3 -> 10 [size =\"8203264\"]\n  3 -> 11 [size =\"8203264\"]\n  3 -> 12 [size =\"8203264\"]\n  4 [size=\"50855936\", alpha=\"0.05\", expect_size=\"25427968\"] \n  4 -> 10 [size =\"25427968\"]\n  4 -> 11 [size =\"25427968\"]\n  5 [size=\"84934656\", alpha=\"0.12\", expect_size=\"42467328\"] \n  5 -> 6 [size =\"42467328\"]\n  5 -> 8 [size =\"42467328\"]\n  5 -> 10 [size =\"42467328\"]\n  6 [size=\"31412224\", alpha=\"0.00\", expect_size=\"15706112\"] \n  6 -> 13 [size =\"15706112\"]\n  6 -> 15 [size =\"15706112\"]\n  7 [size=\"65085440\", alpha=\"0.12\", expect_size=\"32542720\"] \n  7 -> 13 [size =\"32542720\"]\n  7 -> 17 [size =\"32542720\"]\n  8 [size=\"13580288\", alpha=\"0.01\", expect_size=\"6790144\"] \n  8 -> 13 [size =\"6790144\"]\n  8 -> 17 [size =\"6790144\"]\n  9 [size=\"91678720\", alpha=\"0.12\", expect_size=\"45839360\"] \n  9 -> 15 [size =\"45839360\"]\n  9 -> 16 [size =\"45839360\"]\n  10 [size=\"77211648\", alpha=\"0.14\", expect_size=\"38605824\"] \n  10 -> 13 [size =\"38605824\"]\n  10 -> 14 [size =\"38605824\"]\n  10 -> 17 [size =\"38605824\"]\n  11 [size=\"62216192\", alpha=\"0.10\", expect_size=\"31108096\"] \n  11 -> 16 [size =\"31108096\"]\n  12 [size=\"81508352\", alpha=\"0.13\", expect_size=\"40754176\"] \n  12 -> 17 [size =\"40754176\"]\n  13 [size=\"11821056\", alpha=\"0.14\", expect_size=\"5910528\"] \n  13 -> 20 [size =\"5910528\"]\n  13 -> 22 [size =\"5910528\"]\n  13 -> 23 [size =\"5910528\"]\n  14 [size=\"64765952\", alpha=\"0.00\", expect_size=\"32382976\"] \n  14 -> 21 [size =\"32382976\"]\n  15 [size=\"88686592\", alpha=\"0.11\", expect_size=\"44343296\"] \n  15 -> 21 [size =\"44343296\"]\n  16 [size=\"48599040\", alpha=\"0.03\", expect_size=\"24299520\"] \n  16 -> 18 [size =\"24299520\"]\n  16 -> 19 [size =\"24299520\"]\n  16 -> 21 [size =\"24299520\"]\n  16 -> 22 [size =\"24299520\"]\n  17 [size=\"49364992\", alpha=\"0.09\", expect_size=\"24682496\"] \n  17 -> 18 [size =\"24682496\"]\n  17 -> 19 [size =\"24682496\"]\n  17 -> 22 [size =\"24682496\"]\n  18 [size=\"12867584\", alpha=\"0.06\", expect_size=\"6433792\"] \n  18 -> 24 [size =\"6433792\"]\n  18 -> 30 [size =\"6433792\"]\n  19 [size=\"18176000\", alpha=\"0.08\", expect_size=\"9088000\"] \n  19 -> 24 [size =\"9088000\"]\n  19 -> 26 [size =\"9088000\"]\n  20 [size=\"74266624\", alpha=\"0.16\", expect_size=\"37133312\"] \n  20 -> 25 [size =\"37133312\"]\n  20 -> 26 [size =\"37133312\"]\n  20 -> 30 [size =\"37133312\"]\n  21 [size=\"45084672\", alpha=\"0.03\", expect_size=\"22542336\"] \n  21 -> 26 [size =\"22542336\"]\n  21 -> 27 [size =\"22542336\"]\n  21 -> 29 [size =\"22542336\"]\n  22 [size=\"90189824\", alpha=\"0.16\", expect_size=\"45094912\"] \n  22 -> 24 [size =\"45094912\"]\n  22 -> 25 [size =\"45094912\"]\n  22 -> 26 [size =\"45094912\"]\n  22 -> 29 [size =\"45094912\"]\n  22 -> 30 [size =\"45094912\"]\n  23 [size=\"58146816\", alpha=\"0.10\", expect_size=\"29073408\"] \n  23 -> 24 [size =\"29073408\"]\n  23 -> 25 [size =\"29073408\"]\n  23 -> 28 [size =\"29073408\"]\n  23 -> 29 [size =\"29073408\"]\n  23 -> 30 [size =\"29073408\"]\n  24 [size=\"31524864\", alpha=\"0.14\", expect_size=\"15762432\"] \n  24 -> 31 [size =\"15762432\"]\n  24 -> 33 [size =\"15762432\"]\n  24 -> 35 [size =\"15762432\"]\n  25 [size=\"31649792\", alpha=\"0.12\", expect_size=\"15824896\"] \n  25 -> 31 [size =\"15824896\"]\n  25 -> 32 [size =\"15824896\"]\n  25 -> 35 [size =\"15824896\"]\n  26 [size=\"84936704\", alpha=\"0.16\", expect_size=\"42468352\"] \n  27 [size=\"97875968\", alpha=\"0.11\", expect_size=\"48937984\"] \n  27 -> 34 [size =\"48937984\"]\n  28 [size=\"46284800\", alpha=\"0.06\", expect_size=\"23142400\"] \n  28 -> 34 [size =\"23142400\"]\n  29 [size=\"72744960\", alpha=\"0.19\", expect_size=\"36372480\"] \n  29 -> 31 [size =\"36372480\"]\n  29 -> 32 [size =\"36372480\"]\n  29 -> 33 [size =\"36372480\"]\n  29 -> 35 [size =\"36372480\"]\n  30 [size=\"16793600\", alpha=\"0.06\", expect_size=\"8396800\"] \n  30 -> 31 [size =\"8396800\"]\n  30 -> 33 [size =\"8396800\"]\n  30 -> 35 [size =\"8396800\"]\n  31 [size=\"90386432\", alpha=\"0.04\", expect_size=\"45193216\"] \n  31 -> 38 [size =\"45193216\"]\n  31 -> 39 [size =\"45193216\"]\n  32 [size=\"102416384\", alpha=\"0.17\", expect_size=\"51208192\"] \n  32 -> 38 [size =\"51208192\"]\n  32 -> 39 [size =\"51208192\"]\n  33 [size=\"82927616\", alpha=\"0.10\", expect_size=\"41463808\"] \n  33 -> 36 [size =\"41463808\"]\n  33 -> 37 [size =\"41463808\"]\n  34 [size=\"37838848\", alpha=\"0.15\", expect_size=\"18919424\"] \n  35 [size=\"101894144\", alpha=\"0.16\", expect_size=\"50947072\"] \n  35 -> 38 [size =\"50947072\"]\n  36 [size=\"66428928\", alpha=\"0.05\", expect_size=\"33214464\"] \n  36 -> 41 [size =\"33214464\"]\n  36 -> 43 [size =\"33214464\"]\n  36 -> 44 [size =\"33214464\"]\n  36 -> 45 [size =\"33214464\"]\n  37 [size=\"46743552\", alpha=\"0.03\", expect_size=\"23371776\"] \n  37 -> 40 [size =\"23371776\"]\n  37 -> 43 [size =\"23371776\"]\n  37 -> 44 [size =\"23371776\"]\n  38 [size=\"97439744\", alpha=\"0.01\", expect_size=\"48719872\"] \n  38 -> 40 [size =\"48719872\"]\n  38 -> 44 [size =\"48719872\"]\n  39 [size=\"32870400\", alpha=\"0.01\", expect_size=\"16435200\"] \n  39 -> 42 [size =\"16435200\"]\n  39 -> 43 [size =\"16435200\"]\n  40 [size=\"28598272\", alpha=\"0.14\", expect_size=\"14299136\"] \n  41 [size=\"56983552\", alpha=\"0.15\", expect_size=\"28491776\"] \n  42 [size=\"75378688\", alpha=\"0.12\", expect_size=\"37689344\"] \n  43 [size=\"60440576\", alpha=\"0.20\", expect_size=\"30220288\"] \n  44 [size=\"13504512\", alpha=\"0.12\", expect_size=\"6752256\"] \n  45 [size=\"83220480\", alpha=\"0.08\", expect_size=\"41610240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92080128\", alpha=\"0.18\", expect_size=\"46040064\"] \n  1 -> 2 [size =\"46040064\"]\n  2 [size=\"39581696\", alpha=\"0.10\", expect_size=\"19790848\"] \n  2 -> 3 [size =\"19790848\"]\n  3 [size=\"79095808\", alpha=\"0.09\", expect_size=\"39547904\"] \n  3 -> 4 [size =\"39547904\"]\n  4 [size=\"26857472\", alpha=\"0.18\", expect_size=\"13428736\"] \n  4 -> 5 [size =\"13428736\"]\n  5 [size=\"71925760\", alpha=\"0.04\", expect_size=\"35962880\"] \n  5 -> 6 [size =\"35962880\"]\n  6 [size=\"37615616\", alpha=\"0.13\", expect_size=\"18807808\"] \n  6 -> 7 [size =\"18807808\"]\n  7 [size=\"64618496\", alpha=\"0.15\", expect_size=\"32309248\"] \n  7 -> 8 [size =\"32309248\"]\n  8 [size=\"17084416\", alpha=\"0.14\", expect_size=\"8542208\"] \n  8 -> 9 [size =\"8542208\"]\n  9 [size=\"104112128\", alpha=\"0.11\", expect_size=\"52056064\"] \n  9 -> 10 [size =\"52056064\"]\n  10 [size=\"22906880\", alpha=\"0.08\", expect_size=\"11453440\"] \n  10 -> 11 [size =\"11453440\"]\n  11 [size=\"69873664\", alpha=\"0.05\", expect_size=\"34936832\"] \n  11 -> 12 [size =\"34936832\"]\n  12 [size=\"61753344\", alpha=\"0.05\", expect_size=\"30876672\"] \n  12 -> 13 [size =\"30876672\"]\n  13 [size=\"12857344\", alpha=\"0.08\", expect_size=\"6428672\"] \n  13 -> 14 [size =\"6428672\"]\n  14 [size=\"55521280\", alpha=\"0.11\", expect_size=\"27760640\"] \n  14 -> 15 [size =\"27760640\"]\n  15 [size=\"46686208\", alpha=\"0.18\", expect_size=\"23343104\"] \n  15 -> 16 [size =\"23343104\"]\n  16 [size=\"64626688\", alpha=\"0.06\", expect_size=\"32313344\"] \n  16 -> 17 [size =\"32313344\"]\n  17 [size=\"29792256\", alpha=\"0.03\", expect_size=\"14896128\"] \n  17 -> 18 [size =\"14896128\"]\n  18 [size=\"100251648\", alpha=\"0.01\", expect_size=\"50125824\"] \n  18 -> 19 [size =\"50125824\"]\n  19 [size=\"69742592\", alpha=\"0.04\", expect_size=\"34871296\"] \n  19 -> 20 [size =\"34871296\"]\n  20 [size=\"28053504\", alpha=\"0.14\", expect_size=\"14026752\"] \n  20 -> 21 [size =\"14026752\"]\n  21 [size=\"67557376\", alpha=\"0.00\", expect_size=\"33778688\"] \n  21 -> 22 [size =\"33778688\"]\n  22 [size=\"90937344\", alpha=\"0.13\", expect_size=\"45468672\"] \n  22 -> 23 [size =\"45468672\"]\n  23 [size=\"18948096\", alpha=\"0.01\", expect_size=\"9474048\"] \n  23 -> 24 [size =\"9474048\"]\n  24 [size=\"55414784\", alpha=\"0.12\", expect_size=\"27707392\"] \n  24 -> 25 [size =\"27707392\"]\n  25 [size=\"13197312\", alpha=\"0.16\", expect_size=\"6598656\"] \n  25 -> 26 [size =\"6598656\"]\n  26 [size=\"98873344\", alpha=\"0.05\", expect_size=\"49436672\"] \n  26 -> 27 [size =\"49436672\"]\n  27 [size=\"32788480\", alpha=\"0.06\", expect_size=\"16394240\"] \n  27 -> 28 [size =\"16394240\"]\n  28 [size=\"44877824\", alpha=\"0.09\", expect_size=\"22438912\"] \n  28 -> 29 [size =\"22438912\"]\n  29 [size=\"51881984\", alpha=\"0.11\", expect_size=\"25940992\"] \n  29 -> 30 [size =\"25940992\"]\n  30 [size=\"72314880\", alpha=\"0.16\", expect_size=\"36157440\"] \n  30 -> 31 [size =\"36157440\"]\n  31 [size=\"42885120\", alpha=\"0.14\", expect_size=\"21442560\"] \n  31 -> 32 [size =\"21442560\"]\n  32 [size=\"45191168\", alpha=\"0.02\", expect_size=\"22595584\"] \n  32 -> 33 [size =\"22595584\"]\n  33 [size=\"13955072\", alpha=\"0.11\", expect_size=\"6977536\"] \n  33 -> 34 [size =\"6977536\"]\n  34 [size=\"17790976\", alpha=\"0.10\", expect_size=\"8895488\"] \n  34 -> 35 [size =\"8895488\"]\n  35 [size=\"73070592\", alpha=\"0.16\", expect_size=\"36535296\"] \n  35 -> 36 [size =\"36535296\"]\n  36 [size=\"52490240\", alpha=\"0.14\", expect_size=\"26245120\"] \n  36 -> 37 [size =\"26245120\"]\n  37 [size=\"77553664\", alpha=\"0.16\", expect_size=\"38776832\"] \n  37 -> 38 [size =\"38776832\"]\n  38 [size=\"13654016\", alpha=\"0.16\", expect_size=\"6827008\"] \n  38 -> 39 [size =\"6827008\"]\n  39 [size=\"56129536\", alpha=\"0.10\", expect_size=\"28064768\"] \n  39 -> 40 [size =\"28064768\"]\n  40 [size=\"15497216\", alpha=\"0.07\", expect_size=\"7748608\"] \n  40 -> 41 [size =\"7748608\"]\n  41 [size=\"92919808\", alpha=\"0.16\", expect_size=\"46459904\"] \n  41 -> 42 [size =\"46459904\"]\n  42 [size=\"64673792\", alpha=\"0.02\", expect_size=\"32336896\"] \n  42 -> 43 [size =\"32336896\"]\n  43 [size=\"76400640\", alpha=\"0.10\", expect_size=\"38200320\"] \n  43 -> 44 [size =\"38200320\"]\n  44 [size=\"36102144\", alpha=\"0.08\", expect_size=\"18051072\"] \n  44 -> 45 [size =\"18051072\"]\n  45 [size=\"83183616\", alpha=\"0.06\", expect_size=\"41591808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32481280\", alpha=\"0.16\", expect_size=\"16240640\"] \n  1 -> 6 [size =\"16240640\"]\n  1 -> 7 [size =\"16240640\"]\n  1 -> 8 [size =\"16240640\"]\n  1 -> 10 [size =\"16240640\"]\n  2 [size=\"100888576\", alpha=\"0.18\", expect_size=\"50444288\"] \n  2 -> 6 [size =\"50444288\"]\n  2 -> 9 [size =\"50444288\"]\n  2 -> 10 [size =\"50444288\"]\n  3 [size=\"83636224\", alpha=\"0.01\", expect_size=\"41818112\"] \n  3 -> 7 [size =\"41818112\"]\n  3 -> 8 [size =\"41818112\"]\n  3 -> 9 [size =\"41818112\"]\n  3 -> 10 [size =\"41818112\"]\n  4 [size=\"94152704\", alpha=\"0.15\", expect_size=\"47076352\"] \n  4 -> 7 [size =\"47076352\"]\n  5 [size=\"45402112\", alpha=\"0.19\", expect_size=\"22701056\"] \n  6 [size=\"96002048\", alpha=\"0.02\", expect_size=\"48001024\"] \n  6 -> 12 [size =\"48001024\"]\n  6 -> 13 [size =\"48001024\"]\n  7 [size=\"101175296\", alpha=\"0.15\", expect_size=\"50587648\"] \n  7 -> 11 [size =\"50587648\"]\n  7 -> 12 [size =\"50587648\"]\n  8 [size=\"41959424\", alpha=\"0.15\", expect_size=\"20979712\"] \n  8 -> 11 [size =\"20979712\"]\n  8 -> 12 [size =\"20979712\"]\n  9 [size=\"71569408\", alpha=\"0.18\", expect_size=\"35784704\"] \n  9 -> 13 [size =\"35784704\"]\n  10 [size=\"27658240\", alpha=\"0.02\", expect_size=\"13829120\"] \n  10 -> 13 [size =\"13829120\"]\n  10 -> 14 [size =\"13829120\"]\n  11 [size=\"38871040\", alpha=\"0.11\", expect_size=\"19435520\"] \n  12 [size=\"18030592\", alpha=\"0.01\", expect_size=\"9015296\"] \n  12 -> 16 [size =\"9015296\"]\n  12 -> 17 [size =\"9015296\"]\n  12 -> 18 [size =\"9015296\"]\n  12 -> 19 [size =\"9015296\"]\n  13 [size=\"101593088\", alpha=\"0.10\", expect_size=\"50796544\"] \n  13 -> 15 [size =\"50796544\"]\n  14 [size=\"11339776\", alpha=\"0.11\", expect_size=\"5669888\"] \n  14 -> 17 [size =\"5669888\"]\n  15 [size=\"83517440\", alpha=\"0.05\", expect_size=\"41758720\"] \n  15 -> 20 [size =\"41758720\"]\n  15 -> 21 [size =\"41758720\"]\n  15 -> 22 [size =\"41758720\"]\n  15 -> 23 [size =\"41758720\"]\n  16 [size=\"80875520\", alpha=\"0.13\", expect_size=\"40437760\"] \n  16 -> 21 [size =\"40437760\"]\n  17 [size=\"87961600\", alpha=\"0.08\", expect_size=\"43980800\"] \n  18 [size=\"65572864\", alpha=\"0.13\", expect_size=\"32786432\"] \n  19 [size=\"43536384\", alpha=\"0.19\", expect_size=\"21768192\"] \n  19 -> 20 [size =\"21768192\"]\n  19 -> 21 [size =\"21768192\"]\n  19 -> 22 [size =\"21768192\"]\n  19 -> 23 [size =\"21768192\"]\n  20 [size=\"32946176\", alpha=\"0.05\", expect_size=\"16473088\"] \n  21 [size=\"40038400\", alpha=\"0.16\", expect_size=\"20019200\"] \n  21 -> 24 [size =\"20019200\"]\n  21 -> 25 [size =\"20019200\"]\n  21 -> 27 [size =\"20019200\"]\n  22 [size=\"90013696\", alpha=\"0.06\", expect_size=\"45006848\"] \n  22 -> 24 [size =\"45006848\"]\n  22 -> 25 [size =\"45006848\"]\n  22 -> 26 [size =\"45006848\"]\n  23 [size=\"94253056\", alpha=\"0.12\", expect_size=\"47126528\"] \n  23 -> 25 [size =\"47126528\"]\n  24 [size=\"48320512\", alpha=\"0.15\", expect_size=\"24160256\"] \n  24 -> 29 [size =\"24160256\"]\n  24 -> 31 [size =\"24160256\"]\n  24 -> 32 [size =\"24160256\"]\n  25 [size=\"102295552\", alpha=\"0.06\", expect_size=\"51147776\"] \n  25 -> 30 [size =\"51147776\"]\n  25 -> 31 [size =\"51147776\"]\n  26 [size=\"31969280\", alpha=\"0.15\", expect_size=\"15984640\"] \n  26 -> 29 [size =\"15984640\"]\n  26 -> 33 [size =\"15984640\"]\n  27 [size=\"92811264\", alpha=\"0.03\", expect_size=\"46405632\"] \n  27 -> 28 [size =\"46405632\"]\n  27 -> 29 [size =\"46405632\"]\n  27 -> 32 [size =\"46405632\"]\n  28 [size=\"36190208\", alpha=\"0.18\", expect_size=\"18095104\"] \n  28 -> 35 [size =\"18095104\"]\n  29 [size=\"95578112\", alpha=\"0.06\", expect_size=\"47789056\"] \n  29 -> 36 [size =\"47789056\"]\n  29 -> 37 [size =\"47789056\"]\n  30 [size=\"89395200\", alpha=\"0.17\", expect_size=\"44697600\"] \n  30 -> 34 [size =\"44697600\"]\n  30 -> 36 [size =\"44697600\"]\n  30 -> 37 [size =\"44697600\"]\n  31 [size=\"18886656\", alpha=\"0.15\", expect_size=\"9443328\"] \n  32 [size=\"94797824\", alpha=\"0.14\", expect_size=\"47398912\"] \n  32 -> 34 [size =\"47398912\"]\n  33 [size=\"30040064\", alpha=\"0.12\", expect_size=\"15020032\"] \n  33 -> 34 [size =\"15020032\"]\n  34 [size=\"86511616\", alpha=\"0.11\", expect_size=\"43255808\"] \n  34 -> 39 [size =\"43255808\"]\n  34 -> 41 [size =\"43255808\"]\n  35 [size=\"64761856\", alpha=\"0.05\", expect_size=\"32380928\"] \n  35 -> 38 [size =\"32380928\"]\n  35 -> 39 [size =\"32380928\"]\n  35 -> 40 [size =\"32380928\"]\n  35 -> 41 [size =\"32380928\"]\n  36 [size=\"94078976\", alpha=\"0.14\", expect_size=\"47039488\"] \n  36 -> 39 [size =\"47039488\"]\n  36 -> 40 [size =\"47039488\"]\n  37 [size=\"71239680\", alpha=\"0.19\", expect_size=\"35619840\"] \n  37 -> 41 [size =\"35619840\"]\n  38 [size=\"86931456\", alpha=\"0.16\", expect_size=\"43465728\"] \n  38 -> 43 [size =\"43465728\"]\n  39 [size=\"78258176\", alpha=\"0.00\", expect_size=\"39129088\"] \n  39 -> 42 [size =\"39129088\"]\n  39 -> 43 [size =\"39129088\"]\n  39 -> 44 [size =\"39129088\"]\n  40 [size=\"11933696\", alpha=\"0.09\", expect_size=\"5966848\"] \n  40 -> 44 [size =\"5966848\"]\n  40 -> 45 [size =\"5966848\"]\n  41 [size=\"93874176\", alpha=\"0.04\", expect_size=\"46937088\"] \n  41 -> 45 [size =\"46937088\"]\n  41 -> 45 [size =\"46937088\"]\n  42 [size=\"69349376\", alpha=\"0.16\", expect_size=\"34674688\"] \n  43 [size=\"40278016\", alpha=\"0.05\", expect_size=\"20139008\"] \n  44 [size=\"97769472\", alpha=\"0.03\", expect_size=\"48884736\"] \n  45 [size=\"53936128\", alpha=\"0.00\", expect_size=\"26968064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63211520\", alpha=\"0.16\", expect_size=\"18963456\"] \n  1 -> 7 [size =\"18963456\"]\n  1 -> 8 [size =\"18963456\"]\n  1 -> 9 [size =\"18963456\"]\n  1 -> 10 [size =\"18963456\"]\n  2 [size=\"109469013\", alpha=\"0.00\", expect_size=\"32840704\"] \n  2 -> 7 [size =\"32840704\"]\n  2 -> 8 [size =\"32840704\"]\n  2 -> 10 [size =\"32840704\"]\n  3 [size=\"65993387\", alpha=\"0.00\", expect_size=\"19798016\"] \n  3 -> 7 [size =\"19798016\"]\n  3 -> 10 [size =\"19798016\"]\n  4 [size=\"85835093\", alpha=\"0.04\", expect_size=\"25750528\"] \n  4 -> 7 [size =\"25750528\"]\n  4 -> 8 [size =\"25750528\"]\n  4 -> 10 [size =\"25750528\"]\n  5 [size=\"155702613\", alpha=\"0.09\", expect_size=\"46710784\"] \n  5 -> 7 [size =\"46710784\"]\n  5 -> 8 [size =\"46710784\"]\n  5 -> 10 [size =\"46710784\"]\n  6 [size=\"86353920\", alpha=\"0.16\", expect_size=\"25906176\"] \n  6 -> 7 [size =\"25906176\"]\n  6 -> 8 [size =\"25906176\"]\n  7 [size=\"170711040\", alpha=\"0.18\", expect_size=\"51213312\"] \n  7 -> 11 [size =\"51213312\"]\n  7 -> 12 [size =\"51213312\"]\n  7 -> 14 [size =\"51213312\"]\n  7 -> 16 [size =\"51213312\"]\n  8 [size=\"18216960\", alpha=\"0.04\", expect_size=\"5465088\"] \n  8 -> 11 [size =\"5465088\"]\n  8 -> 14 [size =\"5465088\"]\n  8 -> 16 [size =\"5465088\"]\n  9 [size=\"114339840\", alpha=\"0.03\", expect_size=\"34301952\"] \n  9 -> 12 [size =\"34301952\"]\n  9 -> 13 [size =\"34301952\"]\n  9 -> 14 [size =\"34301952\"]\n  9 -> 15 [size =\"34301952\"]\n  9 -> 16 [size =\"34301952\"]\n  10 [size=\"124637867\", alpha=\"0.15\", expect_size=\"37391360\"] \n  10 -> 11 [size =\"37391360\"]\n  10 -> 14 [size =\"37391360\"]\n  10 -> 16 [size =\"37391360\"]\n  11 [size=\"172059307\", alpha=\"0.10\", expect_size=\"51617792\"] \n  11 -> 17 [size =\"51617792\"]\n  11 -> 18 [size =\"51617792\"]\n  11 -> 19 [size =\"51617792\"]\n  11 -> 20 [size =\"51617792\"]\n  11 -> 21 [size =\"51617792\"]\n  12 [size=\"137786027\", alpha=\"0.01\", expect_size=\"41335808\"] \n  12 -> 17 [size =\"41335808\"]\n  12 -> 18 [size =\"41335808\"]\n  12 -> 20 [size =\"41335808\"]\n  12 -> 21 [size =\"41335808\"]\n  12 -> 21 [size =\"41335808\"]\n  13 [size=\"138308267\", alpha=\"0.14\", expect_size=\"41492480\"] \n  13 -> 17 [size =\"41492480\"]\n  13 -> 18 [size =\"41492480\"]\n  13 -> 20 [size =\"41492480\"]\n  14 [size=\"138734933\", alpha=\"0.09\", expect_size=\"41620480\"] \n  14 -> 17 [size =\"41620480\"]\n  14 -> 18 [size =\"41620480\"]\n  14 -> 19 [size =\"41620480\"]\n  14 -> 20 [size =\"41620480\"]\n  14 -> 21 [size =\"41620480\"]\n  15 [size=\"171840853\", alpha=\"0.04\", expect_size=\"51552256\"] \n  15 -> 17 [size =\"51552256\"]\n  15 -> 20 [size =\"51552256\"]\n  15 -> 21 [size =\"51552256\"]\n  16 [size=\"82766507\", alpha=\"0.12\", expect_size=\"24829952\"] \n  16 -> 17 [size =\"24829952\"]\n  16 -> 20 [size =\"24829952\"]\n  17 [size=\"54425600\", alpha=\"0.05\", expect_size=\"16327680\"] \n  17 -> 22 [size =\"16327680\"]\n  17 -> 23 [size =\"16327680\"]\n  17 -> 24 [size =\"16327680\"]\n  17 -> 27 [size =\"16327680\"]\n  17 -> 28 [size =\"16327680\"]\n  17 -> 29 [size =\"16327680\"]\n  18 [size=\"37990400\", alpha=\"0.10\", expect_size=\"11397120\"] \n  18 -> 23 [size =\"11397120\"]\n  18 -> 24 [size =\"11397120\"]\n  18 -> 25 [size =\"11397120\"]\n  18 -> 27 [size =\"11397120\"]\n  18 -> 28 [size =\"11397120\"]\n  18 -> 29 [size =\"11397120\"]\n  19 [size=\"69147307\", alpha=\"0.04\", expect_size=\"20744192\"] \n  19 -> 22 [size =\"20744192\"]\n  19 -> 23 [size =\"20744192\"]\n  19 -> 25 [size =\"20744192\"]\n  19 -> 27 [size =\"20744192\"]\n  19 -> 28 [size =\"20744192\"]\n  19 -> 29 [size =\"20744192\"]\n  20 [size=\"91955200\", alpha=\"0.03\", expect_size=\"27586560\"] \n  20 -> 22 [size =\"27586560\"]\n  20 -> 23 [size =\"27586560\"]\n  20 -> 24 [size =\"27586560\"]\n  20 -> 27 [size =\"27586560\"]\n  20 -> 28 [size =\"27586560\"]\n  20 -> 29 [size =\"27586560\"]\n  21 [size=\"52910080\", alpha=\"0.08\", expect_size=\"15873024\"] \n  21 -> 22 [size =\"15873024\"]\n  21 -> 23 [size =\"15873024\"]\n  21 -> 26 [size =\"15873024\"]\n  21 -> 27 [size =\"15873024\"]\n  21 -> 28 [size =\"15873024\"]\n  21 -> 29 [size =\"15873024\"]\n  22 [size=\"132782080\", alpha=\"0.05\", expect_size=\"39834624\"] \n  23 [size=\"144435200\", alpha=\"0.08\", expect_size=\"43330560\"] \n  23 -> 30 [size =\"43330560\"]\n  23 -> 31 [size =\"43330560\"]\n  24 [size=\"100078933\", alpha=\"0.20\", expect_size=\"30023680\"] \n  24 -> 31 [size =\"30023680\"]\n  25 [size=\"168458240\", alpha=\"0.09\", expect_size=\"50537472\"] \n  26 [size=\"45455360\", alpha=\"0.07\", expect_size=\"13636608\"] \n  27 [size=\"138506240\", alpha=\"0.04\", expect_size=\"41551872\"] \n  27 -> 31 [size =\"41551872\"]\n  28 [size=\"20220587\", alpha=\"0.02\", expect_size=\"6066176\"] \n  28 -> 32 [size =\"6066176\"]\n  29 [size=\"98112853\", alpha=\"0.12\", expect_size=\"29433856\"] \n  30 [size=\"129307307\", alpha=\"0.15\", expect_size=\"38792192\"] \n  30 -> 34 [size =\"38792192\"]\n  30 -> 35 [size =\"38792192\"]\n  30 -> 36 [size =\"38792192\"]\n  31 [size=\"154535253\", alpha=\"0.18\", expect_size=\"46360576\"] \n  31 -> 33 [size =\"46360576\"]\n  31 -> 35 [size =\"46360576\"]\n  31 -> 36 [size =\"46360576\"]\n  32 [size=\"62252373\", alpha=\"0.17\", expect_size=\"18675712\"] \n  32 -> 33 [size =\"18675712\"]\n  32 -> 34 [size =\"18675712\"]\n  32 -> 35 [size =\"18675712\"]\n  32 -> 36 [size =\"18675712\"]\n  33 [size=\"101730987\", alpha=\"0.10\", expect_size=\"30519296\"] \n  33 -> 37 [size =\"30519296\"]\n  33 -> 38 [size =\"30519296\"]\n  33 -> 39 [size =\"30519296\"]\n  33 -> 40 [size =\"30519296\"]\n  33 -> 41 [size =\"30519296\"]\n  34 [size=\"164212053\", alpha=\"0.20\", expect_size=\"49263616\"] \n  34 -> 37 [size =\"49263616\"]\n  34 -> 38 [size =\"49263616\"]\n  34 -> 39 [size =\"49263616\"]\n  34 -> 40 [size =\"49263616\"]\n  34 -> 41 [size =\"49263616\"]\n  35 [size=\"160764587\", alpha=\"0.08\", expect_size=\"48229376\"] \n  35 -> 37 [size =\"48229376\"]\n  35 -> 38 [size =\"48229376\"]\n  35 -> 39 [size =\"48229376\"]\n  35 -> 40 [size =\"48229376\"]\n  35 -> 41 [size =\"48229376\"]\n  36 [size=\"72328533\", alpha=\"0.06\", expect_size=\"21698560\"] \n  36 -> 37 [size =\"21698560\"]\n  36 -> 38 [size =\"21698560\"]\n  36 -> 39 [size =\"21698560\"]\n  36 -> 40 [size =\"21698560\"]\n  36 -> 41 [size =\"21698560\"]\n  36 -> 42 [size =\"21698560\"]\n  37 [size=\"125074773\", alpha=\"0.07\", expect_size=\"37522432\"] \n  37 -> 43 [size =\"37522432\"]\n  37 -> 44 [size =\"37522432\"]\n  37 -> 45 [size =\"37522432\"]\n  38 [size=\"157665280\", alpha=\"0.12\", expect_size=\"47299584\"] \n  38 -> 43 [size =\"47299584\"]\n  39 [size=\"170840747\", alpha=\"0.03\", expect_size=\"51252224\"] \n  39 -> 43 [size =\"51252224\"]\n  39 -> 45 [size =\"51252224\"]\n  40 [size=\"104185173\", alpha=\"0.03\", expect_size=\"31255552\"] \n  40 -> 43 [size =\"31255552\"]\n  40 -> 44 [size =\"31255552\"]\n  40 -> 45 [size =\"31255552\"]\n  41 [size=\"64856747\", alpha=\"0.08\", expect_size=\"19457024\"] \n  41 -> 43 [size =\"19457024\"]\n  41 -> 44 [size =\"19457024\"]\n  41 -> 45 [size =\"19457024\"]\n  42 [size=\"50158933\", alpha=\"0.08\", expect_size=\"15047680\"] \n  42 -> 44 [size =\"15047680\"]\n  43 [size=\"23115093\", alpha=\"0.04\", expect_size=\"6934528\"] \n  44 [size=\"104560640\", alpha=\"0.10\", expect_size=\"31368192\"] \n  45 [size=\"101184853\", alpha=\"0.16\", expect_size=\"30355456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57221120\", alpha=\"0.13\", expect_size=\"28610560\"] \n  1 -> 2 [size =\"28610560\"]\n  2 [size=\"13438976\", alpha=\"0.13\", expect_size=\"6719488\"] \n  2 -> 3 [size =\"6719488\"]\n  3 [size=\"94654464\", alpha=\"0.17\", expect_size=\"47327232\"] \n  3 -> 4 [size =\"47327232\"]\n  4 [size=\"64634880\", alpha=\"0.14\", expect_size=\"32317440\"] \n  4 -> 5 [size =\"32317440\"]\n  5 [size=\"40660992\", alpha=\"0.11\", expect_size=\"20330496\"] \n  5 -> 6 [size =\"20330496\"]\n  6 [size=\"90726400\", alpha=\"0.14\", expect_size=\"45363200\"] \n  6 -> 7 [size =\"45363200\"]\n  7 [size=\"11450368\", alpha=\"0.19\", expect_size=\"5725184\"] \n  7 -> 8 [size =\"5725184\"]\n  8 [size=\"56348672\", alpha=\"0.04\", expect_size=\"28174336\"] \n  8 -> 9 [size =\"28174336\"]\n  9 [size=\"25532416\", alpha=\"0.18\", expect_size=\"12766208\"] \n  9 -> 10 [size =\"12766208\"]\n  10 [size=\"20768768\", alpha=\"0.20\", expect_size=\"10384384\"] \n  10 -> 11 [size =\"10384384\"]\n  11 [size=\"79337472\", alpha=\"0.16\", expect_size=\"39668736\"] \n  11 -> 12 [size =\"39668736\"]\n  12 [size=\"44359680\", alpha=\"0.19\", expect_size=\"22179840\"] \n  12 -> 13 [size =\"22179840\"]\n  13 [size=\"13391872\", alpha=\"0.12\", expect_size=\"6695936\"] \n  13 -> 14 [size =\"6695936\"]\n  14 [size=\"94867456\", alpha=\"0.03\", expect_size=\"47433728\"] \n  14 -> 15 [size =\"47433728\"]\n  15 [size=\"66467840\", alpha=\"0.11\", expect_size=\"33233920\"] \n  15 -> 16 [size =\"33233920\"]\n  16 [size=\"23527424\", alpha=\"0.15\", expect_size=\"11763712\"] \n  16 -> 17 [size =\"11763712\"]\n  17 [size=\"89579520\", alpha=\"0.08\", expect_size=\"44789760\"] \n  17 -> 18 [size =\"44789760\"]\n  18 [size=\"85110784\", alpha=\"0.10\", expect_size=\"42555392\"] \n  18 -> 19 [size =\"42555392\"]\n  19 [size=\"102909952\", alpha=\"0.01\", expect_size=\"51454976\"] \n  19 -> 20 [size =\"51454976\"]\n  20 [size=\"92301312\", alpha=\"0.11\", expect_size=\"46150656\"] \n  20 -> 21 [size =\"46150656\"]\n  21 [size=\"90202112\", alpha=\"0.12\", expect_size=\"45101056\"] \n  21 -> 22 [size =\"45101056\"]\n  22 [size=\"71352320\", alpha=\"0.12\", expect_size=\"35676160\"] \n  22 -> 23 [size =\"35676160\"]\n  23 [size=\"66603008\", alpha=\"0.11\", expect_size=\"33301504\"] \n  23 -> 24 [size =\"33301504\"]\n  24 [size=\"28258304\", alpha=\"0.02\", expect_size=\"14129152\"] \n  24 -> 25 [size =\"14129152\"]\n  25 [size=\"41822208\", alpha=\"0.18\", expect_size=\"20911104\"] \n  25 -> 26 [size =\"20911104\"]\n  26 [size=\"95610880\", alpha=\"0.12\", expect_size=\"47805440\"] \n  26 -> 27 [size =\"47805440\"]\n  27 [size=\"71651328\", alpha=\"0.06\", expect_size=\"35825664\"] \n  27 -> 28 [size =\"35825664\"]\n  28 [size=\"14190592\", alpha=\"0.10\", expect_size=\"7095296\"] \n  28 -> 29 [size =\"7095296\"]\n  29 [size=\"62797824\", alpha=\"0.16\", expect_size=\"31398912\"] \n  29 -> 30 [size =\"31398912\"]\n  30 [size=\"65980416\", alpha=\"0.05\", expect_size=\"32990208\"] \n  30 -> 31 [size =\"32990208\"]\n  31 [size=\"24154112\", alpha=\"0.09\", expect_size=\"12077056\"] \n  31 -> 32 [size =\"12077056\"]\n  32 [size=\"78426112\", alpha=\"0.20\", expect_size=\"39213056\"] \n  32 -> 33 [size =\"39213056\"]\n  33 [size=\"43008000\", alpha=\"0.11\", expect_size=\"21504000\"] \n  33 -> 34 [size =\"21504000\"]\n  34 [size=\"96438272\", alpha=\"0.00\", expect_size=\"48219136\"] \n  34 -> 35 [size =\"48219136\"]\n  35 [size=\"104128512\", alpha=\"0.02\", expect_size=\"52064256\"] \n  35 -> 36 [size =\"52064256\"]\n  36 [size=\"96249856\", alpha=\"0.05\", expect_size=\"48124928\"] \n  36 -> 37 [size =\"48124928\"]\n  37 [size=\"58677248\", alpha=\"0.06\", expect_size=\"29338624\"] \n  37 -> 38 [size =\"29338624\"]\n  38 [size=\"86743040\", alpha=\"0.03\", expect_size=\"43371520\"] \n  38 -> 39 [size =\"43371520\"]\n  39 [size=\"37570560\", alpha=\"0.19\", expect_size=\"18785280\"] \n  39 -> 40 [size =\"18785280\"]\n  40 [size=\"20578304\", alpha=\"0.12\", expect_size=\"10289152\"] \n  40 -> 41 [size =\"10289152\"]\n  41 [size=\"46051328\", alpha=\"0.02\", expect_size=\"23025664\"] \n  41 -> 42 [size =\"23025664\"]\n  42 [size=\"88467456\", alpha=\"0.06\", expect_size=\"44233728\"] \n  42 -> 43 [size =\"44233728\"]\n  43 [size=\"87332864\", alpha=\"0.01\", expect_size=\"43666432\"] \n  43 -> 44 [size =\"43666432\"]\n  44 [size=\"45553664\", alpha=\"0.19\", expect_size=\"22776832\"] \n  44 -> 45 [size =\"22776832\"]\n  45 [size=\"47513600\", alpha=\"0.05\", expect_size=\"23756800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49425067\", alpha=\"0.20\", expect_size=\"14827520\"] \n  1 -> 3 [size =\"14827520\"]\n  1 -> 4 [size =\"14827520\"]\n  2 [size=\"31754240\", alpha=\"0.18\", expect_size=\"9526272\"] \n  2 -> 3 [size =\"9526272\"]\n  2 -> 4 [size =\"9526272\"]\n  3 [size=\"72618667\", alpha=\"0.13\", expect_size=\"21785600\"] \n  3 -> 5 [size =\"21785600\"]\n  4 [size=\"56719360\", alpha=\"0.13\", expect_size=\"17015808\"] \n  4 -> 5 [size =\"17015808\"]\n  4 -> 6 [size =\"17015808\"]\n  5 [size=\"168591360\", alpha=\"0.02\", expect_size=\"50577408\"] \n  5 -> 7 [size =\"50577408\"]\n  5 -> 8 [size =\"50577408\"]\n  6 [size=\"61620907\", alpha=\"0.15\", expect_size=\"18486272\"] \n  6 -> 7 [size =\"18486272\"]\n  6 -> 8 [size =\"18486272\"]\n  7 [size=\"53213867\", alpha=\"0.11\", expect_size=\"15964160\"] \n  7 -> 9 [size =\"15964160\"]\n  7 -> 10 [size =\"15964160\"]\n  7 -> 11 [size =\"15964160\"]\n  8 [size=\"135106560\", alpha=\"0.07\", expect_size=\"40531968\"] \n  8 -> 9 [size =\"40531968\"]\n  8 -> 10 [size =\"40531968\"]\n  8 -> 11 [size =\"40531968\"]\n  9 [size=\"44854613\", alpha=\"0.12\", expect_size=\"13456384\"] \n  9 -> 12 [size =\"13456384\"]\n  9 -> 13 [size =\"13456384\"]\n  9 -> 14 [size =\"13456384\"]\n  10 [size=\"39413760\", alpha=\"0.09\", expect_size=\"11824128\"] \n  10 -> 12 [size =\"11824128\"]\n  10 -> 13 [size =\"11824128\"]\n  10 -> 14 [size =\"11824128\"]\n  11 [size=\"47967573\", alpha=\"0.07\", expect_size=\"14390272\"] \n  11 -> 12 [size =\"14390272\"]\n  11 -> 13 [size =\"14390272\"]\n  11 -> 14 [size =\"14390272\"]\n  12 [size=\"46895787\", alpha=\"0.08\", expect_size=\"14068736\"] \n  12 -> 15 [size =\"14068736\"]\n  13 [size=\"32706560\", alpha=\"0.14\", expect_size=\"9811968\"] \n  13 -> 15 [size =\"9811968\"]\n  13 -> 16 [size =\"9811968\"]\n  13 -> 17 [size =\"9811968\"]\n  14 [size=\"134707200\", alpha=\"0.14\", expect_size=\"40412160\"] \n  14 -> 15 [size =\"40412160\"]\n  14 -> 16 [size =\"40412160\"]\n  15 [size=\"77779627\", alpha=\"0.15\", expect_size=\"23333888\"] \n  15 -> 18 [size =\"23333888\"]\n  15 -> 20 [size =\"23333888\"]\n  15 -> 20 [size =\"23333888\"]\n  16 [size=\"91927893\", alpha=\"0.00\", expect_size=\"27578368\"] \n  16 -> 19 [size =\"27578368\"]\n  17 [size=\"55668053\", alpha=\"0.20\", expect_size=\"16700416\"] \n  17 -> 18 [size =\"16700416\"]\n  17 -> 19 [size =\"16700416\"]\n  17 -> 20 [size =\"16700416\"]\n  18 [size=\"142493013\", alpha=\"0.12\", expect_size=\"42747904\"] \n  18 -> 21 [size =\"42747904\"]\n  19 [size=\"38826667\", alpha=\"0.07\", expect_size=\"11648000\"] \n  19 -> 21 [size =\"11648000\"]\n  19 -> 22 [size =\"11648000\"]\n  19 -> 23 [size =\"11648000\"]\n  20 [size=\"134505813\", alpha=\"0.16\", expect_size=\"40351744\"] \n  20 -> 22 [size =\"40351744\"]\n  20 -> 22 [size =\"40351744\"]\n  20 -> 23 [size =\"40351744\"]\n  21 [size=\"51411627\", alpha=\"0.08\", expect_size=\"15423488\"] \n  21 -> 24 [size =\"15423488\"]\n  21 -> 25 [size =\"15423488\"]\n  21 -> 26 [size =\"15423488\"]\n  22 [size=\"102956373\", alpha=\"0.03\", expect_size=\"30886912\"] \n  22 -> 24 [size =\"30886912\"]\n  22 -> 26 [size =\"30886912\"]\n  23 [size=\"167888213\", alpha=\"0.04\", expect_size=\"50366464\"] \n  23 -> 25 [size =\"50366464\"]\n  24 [size=\"119572480\", alpha=\"0.11\", expect_size=\"35871744\"] \n  24 -> 28 [size =\"35871744\"]\n  24 -> 28 [size =\"35871744\"]\n  24 -> 29 [size =\"35871744\"]\n  25 [size=\"73444693\", alpha=\"0.16\", expect_size=\"22033408\"] \n  25 -> 27 [size =\"22033408\"]\n  25 -> 29 [size =\"22033408\"]\n  26 [size=\"33024000\", alpha=\"0.08\", expect_size=\"9907200\"] \n  26 -> 27 [size =\"9907200\"]\n  26 -> 28 [size =\"9907200\"]\n  26 -> 29 [size =\"9907200\"]\n  27 [size=\"35109547\", alpha=\"0.03\", expect_size=\"10532864\"] \n  27 -> 30 [size =\"10532864\"]\n  28 [size=\"32573440\", alpha=\"0.14\", expect_size=\"9772032\"] \n  28 -> 30 [size =\"9772032\"]\n  28 -> 31 [size =\"9772032\"]\n  29 [size=\"123951787\", alpha=\"0.08\", expect_size=\"37185536\"] \n  29 -> 30 [size =\"37185536\"]\n  30 [size=\"24033280\", alpha=\"0.05\", expect_size=\"7209984\"] \n  30 -> 32 [size =\"7209984\"]\n  30 -> 33 [size =\"7209984\"]\n  31 [size=\"148538027\", alpha=\"0.06\", expect_size=\"44561408\"] \n  31 -> 32 [size =\"44561408\"]\n  31 -> 33 [size =\"44561408\"]\n  32 [size=\"57552213\", alpha=\"0.11\", expect_size=\"17265664\"] \n  32 -> 34 [size =\"17265664\"]\n  32 -> 35 [size =\"17265664\"]\n  33 [size=\"79933440\", alpha=\"0.17\", expect_size=\"23980032\"] \n  33 -> 34 [size =\"23980032\"]\n  34 [size=\"113537707\", alpha=\"0.19\", expect_size=\"34061312\"] \n  34 -> 37 [size =\"34061312\"]\n  35 [size=\"40325120\", alpha=\"0.08\", expect_size=\"12097536\"] \n  35 -> 36 [size =\"12097536\"]\n  35 -> 37 [size =\"12097536\"]\n  35 -> 38 [size =\"12097536\"]\n  36 [size=\"168693760\", alpha=\"0.07\", expect_size=\"50608128\"] \n  36 -> 39 [size =\"50608128\"]\n  36 -> 40 [size =\"50608128\"]\n  37 [size=\"70935893\", alpha=\"0.10\", expect_size=\"21280768\"] \n  37 -> 39 [size =\"21280768\"]\n  37 -> 40 [size =\"21280768\"]\n  38 [size=\"97361920\", alpha=\"0.10\", expect_size=\"29208576\"] \n  38 -> 39 [size =\"29208576\"]\n  38 -> 40 [size =\"29208576\"]\n  38 -> 41 [size =\"29208576\"]\n  39 [size=\"51025920\", alpha=\"0.12\", expect_size=\"15307776\"] \n  39 -> 42 [size =\"15307776\"]\n  39 -> 43 [size =\"15307776\"]\n  39 -> 44 [size =\"15307776\"]\n  40 [size=\"116602880\", alpha=\"0.09\", expect_size=\"34980864\"] \n  40 -> 43 [size =\"34980864\"]\n  41 [size=\"158740480\", alpha=\"0.10\", expect_size=\"47622144\"] \n  41 -> 42 [size =\"47622144\"]\n  41 -> 43 [size =\"47622144\"]\n  42 [size=\"50647040\", alpha=\"0.02\", expect_size=\"15194112\"] \n  42 -> 45 [size =\"15194112\"]\n  43 [size=\"136314880\", alpha=\"0.13\", expect_size=\"40894464\"] \n  43 -> 45 [size =\"40894464\"]\n  44 [size=\"116404907\", alpha=\"0.18\", expect_size=\"34921472\"] \n  44 -> 45 [size =\"34921472\"]\n  45 [size=\"108148053\", alpha=\"0.09\", expect_size=\"32444416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71182336\", alpha=\"0.20\", expect_size=\"35591168\"] \n  1 -> 3 [size =\"35591168\"]\n  1 -> 4 [size =\"35591168\"]\n  2 [size=\"25432064\", alpha=\"0.15\", expect_size=\"12716032\"] \n  3 [size=\"64808960\", alpha=\"0.14\", expect_size=\"32404480\"] \n  3 -> 6 [size =\"32404480\"]\n  3 -> 7 [size =\"32404480\"]\n  3 -> 8 [size =\"32404480\"]\n  4 [size=\"83603456\", alpha=\"0.19\", expect_size=\"41801728\"] \n  4 -> 5 [size =\"41801728\"]\n  4 -> 7 [size =\"41801728\"]\n  5 [size=\"15632384\", alpha=\"0.16\", expect_size=\"7816192\"] \n  5 -> 10 [size =\"7816192\"]\n  6 [size=\"20301824\", alpha=\"0.05\", expect_size=\"10150912\"] \n  6 -> 9 [size =\"10150912\"]\n  6 -> 11 [size =\"10150912\"]\n  7 [size=\"55678976\", alpha=\"0.11\", expect_size=\"27839488\"] \n  7 -> 12 [size =\"27839488\"]\n  8 [size=\"84969472\", alpha=\"0.01\", expect_size=\"42484736\"] \n  8 -> 9 [size =\"42484736\"]\n  8 -> 11 [size =\"42484736\"]\n  9 [size=\"25884672\", alpha=\"0.12\", expect_size=\"12942336\"] \n  9 -> 13 [size =\"12942336\"]\n  10 [size=\"47589376\", alpha=\"0.04\", expect_size=\"23794688\"] \n  11 [size=\"64915456\", alpha=\"0.18\", expect_size=\"32457728\"] \n  12 [size=\"64464896\", alpha=\"0.14\", expect_size=\"32232448\"] \n  13 [size=\"40284160\", alpha=\"0.17\", expect_size=\"20142080\"] \n  13 -> 14 [size =\"20142080\"]\n  13 -> 15 [size =\"20142080\"]\n  14 [size=\"12431360\", alpha=\"0.01\", expect_size=\"6215680\"] \n  14 -> 16 [size =\"6215680\"]\n  14 -> 17 [size =\"6215680\"]\n  15 [size=\"101597184\", alpha=\"0.04\", expect_size=\"50798592\"] \n  16 [size=\"84604928\", alpha=\"0.14\", expect_size=\"42302464\"] \n  17 [size=\"13217792\", alpha=\"0.07\", expect_size=\"6608896\"] \n  17 -> 18 [size =\"6608896\"]\n  17 -> 19 [size =\"6608896\"]\n  18 [size=\"64245760\", alpha=\"0.15\", expect_size=\"32122880\"] \n  18 -> 20 [size =\"32122880\"]\n  19 [size=\"67239936\", alpha=\"0.12\", expect_size=\"33619968\"] \n  20 [size=\"29130752\", alpha=\"0.01\", expect_size=\"14565376\"] \n  20 -> 21 [size =\"14565376\"]\n  20 -> 22 [size =\"14565376\"]\n  21 [size=\"46911488\", alpha=\"0.03\", expect_size=\"23455744\"] \n  21 -> 23 [size =\"23455744\"]\n  21 -> 24 [size =\"23455744\"]\n  22 [size=\"36632576\", alpha=\"0.07\", expect_size=\"18316288\"] \n  22 -> 23 [size =\"18316288\"]\n  22 -> 24 [size =\"18316288\"]\n  23 [size=\"103176192\", alpha=\"0.04\", expect_size=\"51588096\"] \n  23 -> 25 [size =\"51588096\"]\n  23 -> 26 [size =\"51588096\"]\n  23 -> 27 [size =\"51588096\"]\n  24 [size=\"89110528\", alpha=\"0.16\", expect_size=\"44555264\"] \n  24 -> 25 [size =\"44555264\"]\n  25 [size=\"93868032\", alpha=\"0.09\", expect_size=\"46934016\"] \n  25 -> 28 [size =\"46934016\"]\n  25 -> 29 [size =\"46934016\"]\n  26 [size=\"16160768\", alpha=\"0.04\", expect_size=\"8080384\"] \n  26 -> 29 [size =\"8080384\"]\n  27 [size=\"81549312\", alpha=\"0.08\", expect_size=\"40774656\"] \n  27 -> 28 [size =\"40774656\"]\n  28 [size=\"19564544\", alpha=\"0.09\", expect_size=\"9782272\"] \n  28 -> 31 [size =\"9782272\"]\n  29 [size=\"90005504\", alpha=\"0.13\", expect_size=\"45002752\"] \n  29 -> 30 [size =\"45002752\"]\n  30 [size=\"52428800\", alpha=\"0.04\", expect_size=\"26214400\"] \n  31 [size=\"56631296\", alpha=\"0.07\", expect_size=\"28315648\"] \n  31 -> 32 [size =\"28315648\"]\n  31 -> 33 [size =\"28315648\"]\n  32 [size=\"68937728\", alpha=\"0.02\", expect_size=\"34468864\"] \n  32 -> 34 [size =\"34468864\"]\n  33 [size=\"104296448\", alpha=\"0.03\", expect_size=\"52148224\"] \n  33 -> 34 [size =\"52148224\"]\n  33 -> 35 [size =\"52148224\"]\n  33 -> 36 [size =\"52148224\"]\n  34 [size=\"28289024\", alpha=\"0.04\", expect_size=\"14144512\"] \n  34 -> 37 [size =\"14144512\"]\n  35 [size=\"102776832\", alpha=\"0.04\", expect_size=\"51388416\"] \n  35 -> 37 [size =\"51388416\"]\n  36 [size=\"49790976\", alpha=\"0.01\", expect_size=\"24895488\"] \n  36 -> 38 [size =\"24895488\"]\n  37 [size=\"67895296\", alpha=\"0.18\", expect_size=\"33947648\"] \n  37 -> 39 [size =\"33947648\"]\n  37 -> 40 [size =\"33947648\"]\n  38 [size=\"13539328\", alpha=\"0.06\", expect_size=\"6769664\"] \n  38 -> 41 [size =\"6769664\"]\n  39 [size=\"55580672\", alpha=\"0.06\", expect_size=\"27790336\"] \n  39 -> 44 [size =\"27790336\"]\n  40 [size=\"20674560\", alpha=\"0.10\", expect_size=\"10337280\"] \n  40 -> 42 [size =\"10337280\"]\n  40 -> 43 [size =\"10337280\"]\n  41 [size=\"40294400\", alpha=\"0.02\", expect_size=\"20147200\"] \n  41 -> 43 [size =\"20147200\"]\n  42 [size=\"74504192\", alpha=\"0.20\", expect_size=\"37252096\"] \n  43 [size=\"82909184\", alpha=\"0.17\", expect_size=\"41454592\"] \n  43 -> 45 [size =\"41454592\"]\n  44 [size=\"95309824\", alpha=\"0.11\", expect_size=\"47654912\"] \n  45 [size=\"19279872\", alpha=\"0.02\", expect_size=\"9639936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98109440\", alpha=\"0.05\", expect_size=\"29432832\"] \n  1 -> 2 [size =\"29432832\"]\n  2 [size=\"115032747\", alpha=\"0.15\", expect_size=\"34509824\"] \n  2 -> 3 [size =\"34509824\"]\n  3 [size=\"80138240\", alpha=\"0.03\", expect_size=\"24041472\"] \n  3 -> 4 [size =\"24041472\"]\n  4 [size=\"141335893\", alpha=\"0.17\", expect_size=\"42400768\"] \n  4 -> 5 [size =\"42400768\"]\n  5 [size=\"59787947\", alpha=\"0.04\", expect_size=\"17936384\"] \n  5 -> 6 [size =\"17936384\"]\n  6 [size=\"120558933\", alpha=\"0.11\", expect_size=\"36167680\"] \n  6 -> 7 [size =\"36167680\"]\n  7 [size=\"118893227\", alpha=\"0.18\", expect_size=\"35667968\"] \n  7 -> 8 [size =\"35667968\"]\n  8 [size=\"25091413\", alpha=\"0.18\", expect_size=\"7527424\"] \n  8 -> 9 [size =\"7527424\"]\n  9 [size=\"82449067\", alpha=\"0.17\", expect_size=\"24734720\"] \n  9 -> 10 [size =\"24734720\"]\n  10 [size=\"112257707\", alpha=\"0.11\", expect_size=\"33677312\"] \n  10 -> 11 [size =\"33677312\"]\n  11 [size=\"59057493\", alpha=\"0.16\", expect_size=\"17717248\"] \n  11 -> 12 [size =\"17717248\"]\n  12 [size=\"98208427\", alpha=\"0.20\", expect_size=\"29462528\"] \n  12 -> 13 [size =\"29462528\"]\n  13 [size=\"58760533\", alpha=\"0.10\", expect_size=\"17628160\"] \n  13 -> 14 [size =\"17628160\"]\n  14 [size=\"81073493\", alpha=\"0.15\", expect_size=\"24322048\"] \n  14 -> 15 [size =\"24322048\"]\n  15 [size=\"55070720\", alpha=\"0.10\", expect_size=\"16521216\"] \n  15 -> 16 [size =\"16521216\"]\n  16 [size=\"88634027\", alpha=\"0.14\", expect_size=\"26590208\"] \n  16 -> 17 [size =\"26590208\"]\n  17 [size=\"174619307\", alpha=\"0.07\", expect_size=\"52385792\"] \n  17 -> 18 [size =\"52385792\"]\n  18 [size=\"157760853\", alpha=\"0.05\", expect_size=\"47328256\"] \n  18 -> 19 [size =\"47328256\"]\n  19 [size=\"139127467\", alpha=\"0.14\", expect_size=\"41738240\"] \n  19 -> 20 [size =\"41738240\"]\n  20 [size=\"112861867\", alpha=\"0.04\", expect_size=\"33858560\"] \n  20 -> 21 [size =\"33858560\"]\n  21 [size=\"45789867\", alpha=\"0.05\", expect_size=\"13736960\"] \n  21 -> 22 [size =\"13736960\"]\n  22 [size=\"170403840\", alpha=\"0.18\", expect_size=\"51121152\"] \n  22 -> 23 [size =\"51121152\"]\n  23 [size=\"167724373\", alpha=\"0.19\", expect_size=\"50317312\"] \n  23 -> 24 [size =\"50317312\"]\n  24 [size=\"85405013\", alpha=\"0.15\", expect_size=\"25621504\"] \n  24 -> 25 [size =\"25621504\"]\n  25 [size=\"43502933\", alpha=\"0.17\", expect_size=\"13050880\"] \n  25 -> 26 [size =\"13050880\"]\n  26 [size=\"124549120\", alpha=\"0.13\", expect_size=\"37364736\"] \n  26 -> 27 [size =\"37364736\"]\n  27 [size=\"79499947\", alpha=\"0.01\", expect_size=\"23849984\"] \n  27 -> 28 [size =\"23849984\"]\n  28 [size=\"135697067\", alpha=\"0.10\", expect_size=\"40709120\"] \n  28 -> 29 [size =\"40709120\"]\n  29 [size=\"21510827\", alpha=\"0.07\", expect_size=\"6453248\"] \n  29 -> 30 [size =\"6453248\"]\n  30 [size=\"132239360\", alpha=\"0.16\", expect_size=\"39671808\"] \n  30 -> 31 [size =\"39671808\"]\n  31 [size=\"166550187\", alpha=\"0.11\", expect_size=\"49965056\"] \n  31 -> 32 [size =\"49965056\"]\n  32 [size=\"47790080\", alpha=\"0.16\", expect_size=\"14337024\"] \n  32 -> 33 [size =\"14337024\"]\n  33 [size=\"30805333\", alpha=\"0.06\", expect_size=\"9241600\"] \n  33 -> 34 [size =\"9241600\"]\n  34 [size=\"20971520\", alpha=\"0.04\", expect_size=\"6291456\"] \n  34 -> 35 [size =\"6291456\"]\n  35 [size=\"142151680\", alpha=\"0.07\", expect_size=\"42645504\"] \n  35 -> 36 [size =\"42645504\"]\n  36 [size=\"122084693\", alpha=\"0.19\", expect_size=\"36625408\"] \n  36 -> 37 [size =\"36625408\"]\n  37 [size=\"63860053\", alpha=\"0.11\", expect_size=\"19158016\"] \n  37 -> 38 [size =\"19158016\"]\n  38 [size=\"68891307\", alpha=\"0.01\", expect_size=\"20667392\"] \n  38 -> 39 [size =\"20667392\"]\n  39 [size=\"144800427\", alpha=\"0.06\", expect_size=\"43440128\"] \n  39 -> 40 [size =\"43440128\"]\n  40 [size=\"41987413\", alpha=\"0.04\", expect_size=\"12596224\"] \n  40 -> 41 [size =\"12596224\"]\n  41 [size=\"169806507\", alpha=\"0.05\", expect_size=\"50941952\"] \n  41 -> 42 [size =\"50941952\"]\n  42 [size=\"97986560\", alpha=\"0.05\", expect_size=\"29395968\"] \n  42 -> 43 [size =\"29395968\"]\n  43 [size=\"64539307\", alpha=\"0.05\", expect_size=\"19361792\"] \n  43 -> 44 [size =\"19361792\"]\n  44 [size=\"110755840\", alpha=\"0.13\", expect_size=\"33226752\"] \n  44 -> 45 [size =\"33226752\"]\n  45 [size=\"142946987\", alpha=\"0.05\", expect_size=\"42884096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36789760\", alpha=\"0.04\", expect_size=\"14715904\"] \n  1 -> 5 [size =\"14715904\"]\n  2 [size=\"92085760\", alpha=\"0.11\", expect_size=\"36834304\"] \n  2 -> 5 [size =\"36834304\"]\n  2 -> 6 [size =\"36834304\"]\n  2 -> 7 [size =\"36834304\"]\n  3 [size=\"17927680\", alpha=\"0.16\", expect_size=\"7171072\"] \n  3 -> 6 [size =\"7171072\"]\n  3 -> 7 [size =\"7171072\"]\n  4 [size=\"87569920\", alpha=\"0.17\", expect_size=\"35027968\"] \n  5 [size=\"43187200\", alpha=\"0.09\", expect_size=\"17274880\"] \n  5 -> 9 [size =\"17274880\"]\n  5 -> 10 [size =\"17274880\"]\n  5 -> 11 [size =\"17274880\"]\n  6 [size=\"36354560\", alpha=\"0.06\", expect_size=\"14541824\"] \n  6 -> 10 [size =\"14541824\"]\n  7 [size=\"42181120\", alpha=\"0.13\", expect_size=\"16872448\"] \n  7 -> 8 [size =\"16872448\"]\n  7 -> 9 [size =\"16872448\"]\n  8 [size=\"25937920\", alpha=\"0.04\", expect_size=\"10375168\"] \n  8 -> 12 [size =\"10375168\"]\n  9 [size=\"35466240\", alpha=\"0.13\", expect_size=\"14186496\"] \n  9 -> 12 [size =\"14186496\"]\n  10 [size=\"42429440\", alpha=\"0.11\", expect_size=\"16971776\"] \n  11 [size=\"21777920\", alpha=\"0.01\", expect_size=\"8711168\"] \n  12 [size=\"43852800\", alpha=\"0.15\", expect_size=\"17541120\"] \n  12 -> 13 [size =\"17541120\"]\n  12 -> 14 [size =\"17541120\"]\n  12 -> 15 [size =\"17541120\"]\n  12 -> 16 [size =\"17541120\"]\n  13 [size=\"109665280\", alpha=\"0.09\", expect_size=\"43866112\"] \n  14 [size=\"86438400\", alpha=\"0.05\", expect_size=\"34575360\"] \n  14 -> 17 [size =\"34575360\"]\n  15 [size=\"70374400\", alpha=\"0.17\", expect_size=\"28149760\"] \n  15 -> 17 [size =\"28149760\"]\n  16 [size=\"124976640\", alpha=\"0.12\", expect_size=\"49990656\"] \n  17 [size=\"42017280\", alpha=\"0.19\", expect_size=\"16806912\"] \n  17 -> 18 [size =\"16806912\"]\n  17 -> 19 [size =\"16806912\"]\n  17 -> 20 [size =\"16806912\"]\n  18 [size=\"119546880\", alpha=\"0.13\", expect_size=\"47818752\"] \n  19 [size=\"26677760\", alpha=\"0.17\", expect_size=\"10671104\"] \n  19 -> 21 [size =\"10671104\"]\n  19 -> 22 [size =\"10671104\"]\n  20 [size=\"103557120\", alpha=\"0.07\", expect_size=\"41422848\"] \n  20 -> 22 [size =\"41422848\"]\n  21 [size=\"47795200\", alpha=\"0.01\", expect_size=\"19118080\"] \n  21 -> 24 [size =\"19118080\"]\n  22 [size=\"56407040\", alpha=\"0.09\", expect_size=\"22562816\"] \n  22 -> 23 [size =\"22562816\"]\n  22 -> 24 [size =\"22562816\"]\n  22 -> 25 [size =\"22562816\"]\n  22 -> 26 [size =\"22562816\"]\n  23 [size=\"24007680\", alpha=\"0.17\", expect_size=\"9603072\"] \n  24 [size=\"78794240\", alpha=\"0.18\", expect_size=\"31517696\"] \n  25 [size=\"105582080\", alpha=\"0.04\", expect_size=\"42232832\"] \n  25 -> 28 [size =\"42232832\"]\n  26 [size=\"89948160\", alpha=\"0.14\", expect_size=\"35979264\"] \n  26 -> 27 [size =\"35979264\"]\n  26 -> 28 [size =\"35979264\"]\n  27 [size=\"45068800\", alpha=\"0.08\", expect_size=\"18027520\"] \n  27 -> 30 [size =\"18027520\"]\n  28 [size=\"40130560\", alpha=\"0.05\", expect_size=\"16052224\"] \n  28 -> 29 [size =\"16052224\"]\n  28 -> 30 [size =\"16052224\"]\n  28 -> 31 [size =\"16052224\"]\n  29 [size=\"117813760\", alpha=\"0.06\", expect_size=\"47125504\"] \n  30 [size=\"102179840\", alpha=\"0.12\", expect_size=\"40871936\"] \n  30 -> 32 [size =\"40871936\"]\n  31 [size=\"27412480\", alpha=\"0.19\", expect_size=\"10964992\"] \n  31 -> 32 [size =\"10964992\"]\n  32 [size=\"35164160\", alpha=\"0.11\", expect_size=\"14065664\"] \n  32 -> 33 [size =\"14065664\"]\n  32 -> 34 [size =\"14065664\"]\n  32 -> 35 [size =\"14065664\"]\n  33 [size=\"86451200\", alpha=\"0.00\", expect_size=\"34580480\"] \n  33 -> 36 [size =\"34580480\"]\n  34 [size=\"68124160\", alpha=\"0.01\", expect_size=\"27249664\"] \n  35 [size=\"54650880\", alpha=\"0.12\", expect_size=\"21860352\"] \n  35 -> 37 [size =\"21860352\"]\n  36 [size=\"76111360\", alpha=\"0.02\", expect_size=\"30444544\"] \n  36 -> 38 [size =\"30444544\"]\n  37 [size=\"37785600\", alpha=\"0.17\", expect_size=\"15114240\"] \n  38 [size=\"86714880\", alpha=\"0.10\", expect_size=\"34685952\"] \n  38 -> 39 [size =\"34685952\"]\n  38 -> 40 [size =\"34685952\"]\n  39 [size=\"117765120\", alpha=\"0.05\", expect_size=\"47106048\"] \n  39 -> 41 [size =\"47106048\"]\n  39 -> 43 [size =\"47106048\"]\n  39 -> 44 [size =\"47106048\"]\n  40 [size=\"35330560\", alpha=\"0.15\", expect_size=\"14132224\"] \n  40 -> 41 [size =\"14132224\"]\n  40 -> 42 [size =\"14132224\"]\n  40 -> 44 [size =\"14132224\"]\n  41 [size=\"104668160\", alpha=\"0.12\", expect_size=\"41867264\"] \n  42 [size=\"98521600\", alpha=\"0.16\", expect_size=\"39408640\"] \n  42 -> 45 [size =\"39408640\"]\n  43 [size=\"47631360\", alpha=\"0.01\", expect_size=\"19052544\"] \n  43 -> 45 [size =\"19052544\"]\n  44 [size=\"48560640\", alpha=\"0.18\", expect_size=\"19424256\"] \n  45 [size=\"56678400\", alpha=\"0.10\", expect_size=\"22671360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70592512\", alpha=\"0.06\", expect_size=\"35296256\"] \n  1 -> 34 [size =\"35296256\"]\n  1 -> 37 [size =\"35296256\"]\n  1 -> 45 [size =\"35296256\"]\n  2 [size=\"36229120\", alpha=\"0.11\", expect_size=\"18114560\"] \n  2 -> 34 [size =\"18114560\"]\n  2 -> 35 [size =\"18114560\"]\n  2 -> 39 [size =\"18114560\"]\n  2 -> 44 [size =\"18114560\"]\n  3 [size=\"91187200\", alpha=\"0.07\", expect_size=\"45593600\"] \n  3 -> 33 [size =\"45593600\"]\n  3 -> 36 [size =\"45593600\"]\n  3 -> 40 [size =\"45593600\"]\n  3 -> 44 [size =\"45593600\"]\n  4 [size=\"48171008\", alpha=\"0.12\", expect_size=\"24085504\"] \n  4 -> 33 [size =\"24085504\"]\n  4 -> 37 [size =\"24085504\"]\n  4 -> 40 [size =\"24085504\"]\n  4 -> 42 [size =\"24085504\"]\n  4 -> 44 [size =\"24085504\"]\n  5 [size=\"97024000\", alpha=\"0.19\", expect_size=\"48512000\"] \n  5 -> 33 [size =\"48512000\"]\n  5 -> 37 [size =\"48512000\"]\n  5 -> 41 [size =\"48512000\"]\n  5 -> 42 [size =\"48512000\"]\n  5 -> 44 [size =\"48512000\"]\n  6 [size=\"23898112\", alpha=\"0.17\", expect_size=\"11949056\"] \n  6 -> 33 [size =\"11949056\"]\n  6 -> 34 [size =\"11949056\"]\n  6 -> 35 [size =\"11949056\"]\n  6 -> 36 [size =\"11949056\"]\n  6 -> 39 [size =\"11949056\"]\n  6 -> 42 [size =\"11949056\"]\n  6 -> 44 [size =\"11949056\"]\n  6 -> 45 [size =\"11949056\"]\n  7 [size=\"98215936\", alpha=\"0.16\", expect_size=\"49107968\"] \n  7 -> 34 [size =\"49107968\"]\n  7 -> 36 [size =\"49107968\"]\n  7 -> 37 [size =\"49107968\"]\n  7 -> 39 [size =\"49107968\"]\n  7 -> 40 [size =\"49107968\"]\n  7 -> 41 [size =\"49107968\"]\n  7 -> 42 [size =\"49107968\"]\n  7 -> 44 [size =\"49107968\"]\n  7 -> 45 [size =\"49107968\"]\n  8 [size=\"70776832\", alpha=\"0.03\", expect_size=\"35388416\"] \n  8 -> 32 [size =\"35388416\"]\n  8 -> 33 [size =\"35388416\"]\n  8 -> 36 [size =\"35388416\"]\n  8 -> 37 [size =\"35388416\"]\n  8 -> 41 [size =\"35388416\"]\n  8 -> 43 [size =\"35388416\"]\n  8 -> 45 [size =\"35388416\"]\n  9 [size=\"49123328\", alpha=\"0.11\", expect_size=\"24561664\"] \n  9 -> 35 [size =\"24561664\"]\n  9 -> 37 [size =\"24561664\"]\n  9 -> 39 [size =\"24561664\"]\n  9 -> 44 [size =\"24561664\"]\n  9 -> 45 [size =\"24561664\"]\n  10 [size=\"12679168\", alpha=\"0.05\", expect_size=\"6339584\"] \n  10 -> 36 [size =\"6339584\"]\n  10 -> 39 [size =\"6339584\"]\n  10 -> 45 [size =\"6339584\"]\n  11 [size=\"53260288\", alpha=\"0.08\", expect_size=\"26630144\"] \n  11 -> 33 [size =\"26630144\"]\n  11 -> 34 [size =\"26630144\"]\n  11 -> 39 [size =\"26630144\"]\n  11 -> 45 [size =\"26630144\"]\n  12 [size=\"79976448\", alpha=\"0.05\", expect_size=\"39988224\"] \n  12 -> 33 [size =\"39988224\"]\n  12 -> 40 [size =\"39988224\"]\n  12 -> 45 [size =\"39988224\"]\n  13 [size=\"37689344\", alpha=\"0.18\", expect_size=\"18844672\"] \n  13 -> 33 [size =\"18844672\"]\n  13 -> 34 [size =\"18844672\"]\n  13 -> 36 [size =\"18844672\"]\n  13 -> 40 [size =\"18844672\"]\n  14 [size=\"70211584\", alpha=\"0.20\", expect_size=\"35105792\"] \n  14 -> 43 [size =\"35105792\"]\n  14 -> 45 [size =\"35105792\"]\n  15 [size=\"30259200\", alpha=\"0.08\", expect_size=\"15129600\"] \n  15 -> 32 [size =\"15129600\"]\n  15 -> 34 [size =\"15129600\"]\n  15 -> 36 [size =\"15129600\"]\n  15 -> 40 [size =\"15129600\"]\n  15 -> 45 [size =\"15129600\"]\n  16 [size=\"25663488\", alpha=\"0.15\", expect_size=\"12831744\"] \n  16 -> 34 [size =\"12831744\"]\n  16 -> 37 [size =\"12831744\"]\n  16 -> 39 [size =\"12831744\"]\n  16 -> 44 [size =\"12831744\"]\n  17 [size=\"103524352\", alpha=\"0.13\", expect_size=\"51762176\"] \n  17 -> 36 [size =\"51762176\"]\n  17 -> 39 [size =\"51762176\"]\n  17 -> 44 [size =\"51762176\"]\n  18 [size=\"84611072\", alpha=\"0.18\", expect_size=\"42305536\"] \n  18 -> 32 [size =\"42305536\"]\n  18 -> 36 [size =\"42305536\"]\n  18 -> 37 [size =\"42305536\"]\n  18 -> 38 [size =\"42305536\"]\n  18 -> 39 [size =\"42305536\"]\n  18 -> 45 [size =\"42305536\"]\n  19 [size=\"99057664\", alpha=\"0.17\", expect_size=\"49528832\"] \n  19 -> 32 [size =\"49528832\"]\n  19 -> 35 [size =\"49528832\"]\n  19 -> 37 [size =\"49528832\"]\n  19 -> 39 [size =\"49528832\"]\n  19 -> 39 [size =\"49528832\"]\n  20 [size=\"58091520\", alpha=\"0.10\", expect_size=\"29045760\"] \n  20 -> 33 [size =\"29045760\"]\n  20 -> 37 [size =\"29045760\"]\n  20 -> 42 [size =\"29045760\"]\n  20 -> 44 [size =\"29045760\"]\n  21 [size=\"80551936\", alpha=\"0.16\", expect_size=\"40275968\"] \n  21 -> 36 [size =\"40275968\"]\n  21 -> 37 [size =\"40275968\"]\n  21 -> 40 [size =\"40275968\"]\n  21 -> 42 [size =\"40275968\"]\n  22 [size=\"23181312\", alpha=\"0.07\", expect_size=\"11590656\"] \n  22 -> 33 [size =\"11590656\"]\n  22 -> 37 [size =\"11590656\"]\n  22 -> 40 [size =\"11590656\"]\n  22 -> 42 [size =\"11590656\"]\n  22 -> 43 [size =\"11590656\"]\n  22 -> 45 [size =\"11590656\"]\n  23 [size=\"47540224\", alpha=\"0.16\", expect_size=\"23770112\"] \n  23 -> 32 [size =\"23770112\"]\n  23 -> 35 [size =\"23770112\"]\n  23 -> 37 [size =\"23770112\"]\n  23 -> 42 [size =\"23770112\"]\n  23 -> 43 [size =\"23770112\"]\n  24 [size=\"37376000\", alpha=\"0.12\", expect_size=\"18688000\"] \n  24 -> 32 [size =\"18688000\"]\n  24 -> 37 [size =\"18688000\"]\n  24 -> 39 [size =\"18688000\"]\n  24 -> 42 [size =\"18688000\"]\n  25 [size=\"36120576\", alpha=\"0.07\", expect_size=\"18060288\"] \n  25 -> 32 [size =\"18060288\"]\n  25 -> 37 [size =\"18060288\"]\n  25 -> 42 [size =\"18060288\"]\n  25 -> 42 [size =\"18060288\"]\n  25 -> 45 [size =\"18060288\"]\n  26 [size=\"72720384\", alpha=\"0.05\", expect_size=\"36360192\"] \n  26 -> 36 [size =\"36360192\"]\n  26 -> 40 [size =\"36360192\"]\n  26 -> 42 [size =\"36360192\"]\n  26 -> 44 [size =\"36360192\"]\n  27 [size=\"49235968\", alpha=\"0.01\", expect_size=\"24617984\"] \n  27 -> 36 [size =\"24617984\"]\n  27 -> 42 [size =\"24617984\"]\n  27 -> 42 [size =\"24617984\"]\n  28 [size=\"17995776\", alpha=\"0.10\", expect_size=\"8997888\"] \n  28 -> 34 [size =\"8997888\"]\n  28 -> 36 [size =\"8997888\"]\n  28 -> 37 [size =\"8997888\"]\n  28 -> 39 [size =\"8997888\"]\n  28 -> 42 [size =\"8997888\"]\n  29 [size=\"102897664\", alpha=\"0.07\", expect_size=\"51448832\"] \n  29 -> 36 [size =\"51448832\"]\n  29 -> 37 [size =\"51448832\"]\n  29 -> 41 [size =\"51448832\"]\n  30 [size=\"86450176\", alpha=\"0.05\", expect_size=\"43225088\"] \n  30 -> 33 [size =\"43225088\"]\n  30 -> 34 [size =\"43225088\"]\n  30 -> 35 [size =\"43225088\"]\n  30 -> 37 [size =\"43225088\"]\n  30 -> 41 [size =\"43225088\"]\n  30 -> 42 [size =\"43225088\"]\n  30 -> 43 [size =\"43225088\"]\n  30 -> 44 [size =\"43225088\"]\n  30 -> 45 [size =\"43225088\"]\n  31 [size=\"38062080\", alpha=\"0.12\", expect_size=\"19031040\"] \n  31 -> 34 [size =\"19031040\"]\n  31 -> 34 [size =\"19031040\"]\n  31 -> 37 [size =\"19031040\"]\n  31 -> 38 [size =\"19031040\"]\n  31 -> 39 [size =\"19031040\"]\n  31 -> 40 [size =\"19031040\"]\n  31 -> 41 [size =\"19031040\"]\n  31 -> 42 [size =\"19031040\"]\n  31 -> 44 [size =\"19031040\"]\n  32 [size=\"17840128\", alpha=\"0.13\", expect_size=\"8920064\"] \n  33 [size=\"51527680\", alpha=\"0.01\", expect_size=\"25763840\"] \n  34 [size=\"31084544\", alpha=\"0.01\", expect_size=\"15542272\"] \n  35 [size=\"88569856\", alpha=\"0.05\", expect_size=\"44284928\"] \n  36 [size=\"27404288\", alpha=\"0.12\", expect_size=\"13702144\"] \n  37 [size=\"49743872\", alpha=\"0.19\", expect_size=\"24871936\"] \n  38 [size=\"54581248\", alpha=\"0.02\", expect_size=\"27290624\"] \n  39 [size=\"102205440\", alpha=\"0.03\", expect_size=\"51102720\"] \n  40 [size=\"42510336\", alpha=\"0.15\", expect_size=\"21255168\"] \n  41 [size=\"66435072\", alpha=\"0.02\", expect_size=\"33217536\"] \n  42 [size=\"28008448\", alpha=\"0.11\", expect_size=\"14004224\"] \n  43 [size=\"91097088\", alpha=\"0.08\", expect_size=\"45548544\"] \n  44 [size=\"94158848\", alpha=\"0.10\", expect_size=\"47079424\"] \n  45 [size=\"96921600\", alpha=\"0.19\", expect_size=\"48460800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100697600\", alpha=\"0.13\", expect_size=\"40279040\"] \n  1 -> 45 [size =\"40279040\"]\n  2 [size=\"38466560\", alpha=\"0.13\", expect_size=\"15386624\"] \n  2 -> 43 [size =\"15386624\"]\n  2 -> 44 [size =\"15386624\"]\n  3 [size=\"68195840\", alpha=\"0.07\", expect_size=\"27278336\"] \n  3 -> 44 [size =\"27278336\"]\n  4 [size=\"98562560\", alpha=\"0.14\", expect_size=\"39425024\"] \n  4 -> 44 [size =\"39425024\"]\n  4 -> 45 [size =\"39425024\"]\n  5 [size=\"119511040\", alpha=\"0.06\", expect_size=\"47804416\"] \n  5 -> 45 [size =\"47804416\"]\n  6 [size=\"92505600\", alpha=\"0.03\", expect_size=\"37002240\"] \n  6 -> 43 [size =\"37002240\"]\n  7 [size=\"81233920\", alpha=\"0.14\", expect_size=\"32493568\"] \n  8 [size=\"58539520\", alpha=\"0.02\", expect_size=\"23415808\"] \n  9 [size=\"52508160\", alpha=\"0.15\", expect_size=\"21003264\"] \n  9 -> 45 [size =\"21003264\"]\n  10 [size=\"31644160\", alpha=\"0.13\", expect_size=\"12657664\"] \n  10 -> 43 [size =\"12657664\"]\n  10 -> 45 [size =\"12657664\"]\n  11 [size=\"120998400\", alpha=\"0.09\", expect_size=\"48399360\"] \n  11 -> 43 [size =\"48399360\"]\n  11 -> 44 [size =\"48399360\"]\n  11 -> 45 [size =\"48399360\"]\n  12 [size=\"80020480\", alpha=\"0.10\", expect_size=\"32008192\"] \n  12 -> 43 [size =\"32008192\"]\n  12 -> 45 [size =\"32008192\"]\n  13 [size=\"37975040\", alpha=\"0.06\", expect_size=\"15190016\"] \n  13 -> 43 [size =\"15190016\"]\n  14 [size=\"81062400\", alpha=\"0.04\", expect_size=\"32424960\"] \n  14 -> 43 [size =\"32424960\"]\n  14 -> 44 [size =\"32424960\"]\n  14 -> 45 [size =\"32424960\"]\n  15 [size=\"43550720\", alpha=\"0.11\", expect_size=\"17420288\"] \n  15 -> 43 [size =\"17420288\"]\n  15 -> 45 [size =\"17420288\"]\n  15 -> 45 [size =\"17420288\"]\n  16 [size=\"80872960\", alpha=\"0.16\", expect_size=\"32349184\"] \n  16 -> 43 [size =\"32349184\"]\n  16 -> 45 [size =\"32349184\"]\n  17 [size=\"98636800\", alpha=\"0.16\", expect_size=\"39454720\"] \n  18 [size=\"64076800\", alpha=\"0.10\", expect_size=\"25630720\"] \n  18 -> 45 [size =\"25630720\"]\n  19 [size=\"77447680\", alpha=\"0.16\", expect_size=\"30979072\"] \n  19 -> 42 [size =\"30979072\"]\n  19 -> 45 [size =\"30979072\"]\n  20 [size=\"48232960\", alpha=\"0.04\", expect_size=\"19293184\"] \n  20 -> 43 [size =\"19293184\"]\n  20 -> 44 [size =\"19293184\"]\n  20 -> 45 [size =\"19293184\"]\n  21 [size=\"123811840\", alpha=\"0.07\", expect_size=\"49524736\"] \n  21 -> 43 [size =\"49524736\"]\n  21 -> 44 [size =\"49524736\"]\n  21 -> 45 [size =\"49524736\"]\n  22 [size=\"57082880\", alpha=\"0.14\", expect_size=\"22833152\"] \n  23 [size=\"118615040\", alpha=\"0.10\", expect_size=\"47446016\"] \n  23 -> 43 [size =\"47446016\"]\n  23 -> 45 [size =\"47446016\"]\n  24 [size=\"38883840\", alpha=\"0.01\", expect_size=\"15553536\"] \n  24 -> 45 [size =\"15553536\"]\n  25 [size=\"64829440\", alpha=\"0.10\", expect_size=\"25931776\"] \n  25 -> 43 [size =\"25931776\"]\n  26 [size=\"128404480\", alpha=\"0.12\", expect_size=\"51361792\"] \n  26 -> 43 [size =\"51361792\"]\n  27 [size=\"103303680\", alpha=\"0.06\", expect_size=\"41321472\"] \n  27 -> 43 [size =\"41321472\"]\n  27 -> 45 [size =\"41321472\"]\n  28 [size=\"81121280\", alpha=\"0.08\", expect_size=\"32448512\"] \n  29 [size=\"22177280\", alpha=\"0.16\", expect_size=\"8870912\"] \n  29 -> 45 [size =\"8870912\"]\n  30 [size=\"118428160\", alpha=\"0.07\", expect_size=\"47371264\"] \n  30 -> 43 [size =\"47371264\"]\n  30 -> 45 [size =\"47371264\"]\n  31 [size=\"25029120\", alpha=\"0.17\", expect_size=\"10011648\"] \n  31 -> 43 [size =\"10011648\"]\n  31 -> 45 [size =\"10011648\"]\n  32 [size=\"65500160\", alpha=\"0.18\", expect_size=\"26200064\"] \n  32 -> 43 [size =\"26200064\"]\n  33 [size=\"29278720\", alpha=\"0.03\", expect_size=\"11711488\"] \n  33 -> 43 [size =\"11711488\"]\n  34 [size=\"89415680\", alpha=\"0.00\", expect_size=\"35766272\"] \n  34 -> 44 [size =\"35766272\"]\n  35 [size=\"95436800\", alpha=\"0.02\", expect_size=\"38174720\"] \n  35 -> 43 [size =\"38174720\"]\n  35 -> 45 [size =\"38174720\"]\n  36 [size=\"35783680\", alpha=\"0.15\", expect_size=\"14313472\"] \n  36 -> 43 [size =\"14313472\"]\n  36 -> 44 [size =\"14313472\"]\n  36 -> 45 [size =\"14313472\"]\n  37 [size=\"107819520\", alpha=\"0.03\", expect_size=\"43127808\"] \n  37 -> 43 [size =\"43127808\"]\n  37 -> 45 [size =\"43127808\"]\n  38 [size=\"25776640\", alpha=\"0.20\", expect_size=\"10310656\"] \n  38 -> 45 [size =\"10310656\"]\n  39 [size=\"71016960\", alpha=\"0.07\", expect_size=\"28406784\"] \n  39 -> 42 [size =\"28406784\"]\n  39 -> 43 [size =\"28406784\"]\n  40 [size=\"47016960\", alpha=\"0.01\", expect_size=\"18806784\"] \n  41 [size=\"90273280\", alpha=\"0.13\", expect_size=\"36109312\"] \n  41 -> 43 [size =\"36109312\"]\n  41 -> 44 [size =\"36109312\"]\n  42 [size=\"72755200\", alpha=\"0.13\", expect_size=\"29102080\"] \n  43 [size=\"61373440\", alpha=\"0.10\", expect_size=\"24549376\"] \n  44 [size=\"81000960\", alpha=\"0.12\", expect_size=\"32400384\"] \n  45 [size=\"81625600\", alpha=\"0.03\", expect_size=\"32650240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171700907\", alpha=\"0.01\", expect_size=\"51510272\"] \n  1 -> 8 [size =\"51510272\"]\n  1 -> 11 [size =\"51510272\"]\n  1 -> 12 [size =\"51510272\"]\n  2 [size=\"50305707\", alpha=\"0.18\", expect_size=\"15091712\"] \n  2 -> 10 [size =\"15091712\"]\n  2 -> 11 [size =\"15091712\"]\n  2 -> 12 [size =\"15091712\"]\n  3 [size=\"56842240\", alpha=\"0.14\", expect_size=\"17052672\"] \n  3 -> 9 [size =\"17052672\"]\n  3 -> 10 [size =\"17052672\"]\n  3 -> 11 [size =\"17052672\"]\n  3 -> 12 [size =\"17052672\"]\n  4 [size=\"40884907\", alpha=\"0.05\", expect_size=\"12265472\"] \n  4 -> 7 [size =\"12265472\"]\n  5 [size=\"41018027\", alpha=\"0.03\", expect_size=\"12305408\"] \n  5 -> 7 [size =\"12305408\"]\n  5 -> 8 [size =\"12305408\"]\n  5 -> 10 [size =\"12305408\"]\n  6 [size=\"122330453\", alpha=\"0.05\", expect_size=\"36699136\"] \n  6 -> 7 [size =\"36699136\"]\n  6 -> 8 [size =\"36699136\"]\n  6 -> 12 [size =\"36699136\"]\n  7 [size=\"53439147\", alpha=\"0.16\", expect_size=\"16031744\"] \n  8 [size=\"41024853\", alpha=\"0.08\", expect_size=\"12307456\"] \n  9 [size=\"96310613\", alpha=\"0.08\", expect_size=\"28893184\"] \n  9 -> 16 [size =\"28893184\"]\n  10 [size=\"42956800\", alpha=\"0.13\", expect_size=\"12887040\"] \n  10 -> 15 [size =\"12887040\"]\n  11 [size=\"55961600\", alpha=\"0.11\", expect_size=\"16788480\"] \n  11 -> 13 [size =\"16788480\"]\n  11 -> 14 [size =\"16788480\"]\n  11 -> 15 [size =\"16788480\"]\n  11 -> 16 [size =\"16788480\"]\n  11 -> 17 [size =\"16788480\"]\n  12 [size=\"64392533\", alpha=\"0.07\", expect_size=\"19317760\"] \n  12 -> 14 [size =\"19317760\"]\n  12 -> 15 [size =\"19317760\"]\n  13 [size=\"47308800\", alpha=\"0.10\", expect_size=\"14192640\"] \n  13 -> 19 [size =\"14192640\"]\n  13 -> 21 [size =\"14192640\"]\n  14 [size=\"158784853\", alpha=\"0.10\", expect_size=\"47635456\"] \n  14 -> 19 [size =\"47635456\"]\n  14 -> 20 [size =\"47635456\"]\n  14 -> 22 [size =\"47635456\"]\n  15 [size=\"37765120\", alpha=\"0.03\", expect_size=\"11329536\"] \n  15 -> 18 [size =\"11329536\"]\n  15 -> 21 [size =\"11329536\"]\n  15 -> 22 [size =\"11329536\"]\n  16 [size=\"59337387\", alpha=\"0.14\", expect_size=\"17801216\"] \n  16 -> 18 [size =\"17801216\"]\n  16 -> 19 [size =\"17801216\"]\n  16 -> 20 [size =\"17801216\"]\n  17 [size=\"101038080\", alpha=\"0.14\", expect_size=\"30311424\"] \n  17 -> 18 [size =\"30311424\"]\n  17 -> 21 [size =\"30311424\"]\n  17 -> 22 [size =\"30311424\"]\n  18 [size=\"69376000\", alpha=\"0.05\", expect_size=\"20812800\"] \n  18 -> 23 [size =\"20812800\"]\n  18 -> 25 [size =\"20812800\"]\n  19 [size=\"129962667\", alpha=\"0.05\", expect_size=\"38988800\"] \n  19 -> 27 [size =\"38988800\"]\n  20 [size=\"37085867\", alpha=\"0.12\", expect_size=\"11125760\"] \n  20 -> 25 [size =\"11125760\"]\n  20 -> 27 [size =\"11125760\"]\n  21 [size=\"138967040\", alpha=\"0.18\", expect_size=\"41690112\"] \n  22 [size=\"66269867\", alpha=\"0.08\", expect_size=\"19880960\"] \n  22 -> 24 [size =\"19880960\"]\n  22 -> 26 [size =\"19880960\"]\n  23 [size=\"118295893\", alpha=\"0.04\", expect_size=\"35488768\"] \n  23 -> 29 [size =\"35488768\"]\n  23 -> 30 [size =\"35488768\"]\n  24 [size=\"42755413\", alpha=\"0.02\", expect_size=\"12826624\"] \n  24 -> 29 [size =\"12826624\"]\n  24 -> 30 [size =\"12826624\"]\n  24 -> 31 [size =\"12826624\"]\n  24 -> 32 [size =\"12826624\"]\n  24 -> 33 [size =\"12826624\"]\n  25 [size=\"122309973\", alpha=\"0.03\", expect_size=\"36692992\"] \n  25 -> 29 [size =\"36692992\"]\n  25 -> 31 [size =\"36692992\"]\n  25 -> 32 [size =\"36692992\"]\n  25 -> 33 [size =\"36692992\"]\n  26 [size=\"143261013\", alpha=\"0.18\", expect_size=\"42978304\"] \n  26 -> 28 [size =\"42978304\"]\n  26 -> 30 [size =\"42978304\"]\n  26 -> 31 [size =\"42978304\"]\n  26 -> 33 [size =\"42978304\"]\n  27 [size=\"99771733\", alpha=\"0.17\", expect_size=\"29931520\"] \n  27 -> 28 [size =\"29931520\"]\n  27 -> 32 [size =\"29931520\"]\n  28 [size=\"50008747\", alpha=\"0.19\", expect_size=\"15002624\"] \n  29 [size=\"89958400\", alpha=\"0.12\", expect_size=\"26987520\"] \n  30 [size=\"131553280\", alpha=\"0.07\", expect_size=\"39465984\"] \n  30 -> 35 [size =\"39465984\"]\n  30 -> 36 [size =\"39465984\"]\n  31 [size=\"67314347\", alpha=\"0.07\", expect_size=\"20194304\"] \n  32 [size=\"51462827\", alpha=\"0.14\", expect_size=\"15438848\"] \n  32 -> 34 [size =\"15438848\"]\n  32 -> 35 [size =\"15438848\"]\n  32 -> 37 [size =\"15438848\"]\n  33 [size=\"116834987\", alpha=\"0.04\", expect_size=\"35050496\"] \n  33 -> 35 [size =\"35050496\"]\n  33 -> 38 [size =\"35050496\"]\n  34 [size=\"145506987\", alpha=\"0.12\", expect_size=\"43652096\"] \n  34 -> 39 [size =\"43652096\"]\n  34 -> 43 [size =\"43652096\"]\n  35 [size=\"160890880\", alpha=\"0.03\", expect_size=\"48267264\"] \n  35 -> 39 [size =\"48267264\"]\n  36 [size=\"29245440\", alpha=\"0.19\", expect_size=\"8773632\"] \n  36 -> 39 [size =\"8773632\"]\n  36 -> 42 [size =\"8773632\"]\n  37 [size=\"169990827\", alpha=\"0.05\", expect_size=\"50997248\"] \n  37 -> 40 [size =\"50997248\"]\n  37 -> 41 [size =\"50997248\"]\n  37 -> 43 [size =\"50997248\"]\n  38 [size=\"147240960\", alpha=\"0.18\", expect_size=\"44172288\"] \n  38 -> 40 [size =\"44172288\"]\n  38 -> 41 [size =\"44172288\"]\n  38 -> 42 [size =\"44172288\"]\n  38 -> 43 [size =\"44172288\"]\n  39 [size=\"141824000\", alpha=\"0.06\", expect_size=\"42547200\"] \n  40 [size=\"75287893\", alpha=\"0.16\", expect_size=\"22586368\"] \n  40 -> 44 [size =\"22586368\"]\n  40 -> 45 [size =\"22586368\"]\n  41 [size=\"130402987\", alpha=\"0.01\", expect_size=\"39120896\"] \n  41 -> 44 [size =\"39120896\"]\n  41 -> 45 [size =\"39120896\"]\n  42 [size=\"31085227\", alpha=\"0.13\", expect_size=\"9325568\"] \n  42 -> 44 [size =\"9325568\"]\n  43 [size=\"138823680\", alpha=\"0.18\", expect_size=\"41647104\"] \n  44 [size=\"168878080\", alpha=\"0.05\", expect_size=\"50663424\"] \n  45 [size=\"105274027\", alpha=\"0.06\", expect_size=\"31582208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167137280\", alpha=\"0.08\", expect_size=\"50141184\"] \n  1 -> 33 [size =\"50141184\"]\n  1 -> 35 [size =\"50141184\"]\n  1 -> 37 [size =\"50141184\"]\n  1 -> 41 [size =\"50141184\"]\n  1 -> 43 [size =\"50141184\"]\n  1 -> 43 [size =\"50141184\"]\n  1 -> 45 [size =\"50141184\"]\n  2 [size=\"32617813\", alpha=\"0.16\", expect_size=\"9785344\"] \n  2 -> 34 [size =\"9785344\"]\n  2 -> 35 [size =\"9785344\"]\n  2 -> 43 [size =\"9785344\"]\n  3 [size=\"125453653\", alpha=\"0.08\", expect_size=\"37636096\"] \n  3 -> 38 [size =\"37636096\"]\n  3 -> 40 [size =\"37636096\"]\n  3 -> 43 [size =\"37636096\"]\n  4 [size=\"75520000\", alpha=\"0.08\", expect_size=\"22656000\"] \n  4 -> 37 [size =\"22656000\"]\n  4 -> 43 [size =\"22656000\"]\n  4 -> 43 [size =\"22656000\"]\n  5 [size=\"74864640\", alpha=\"0.11\", expect_size=\"22459392\"] \n  5 -> 33 [size =\"22459392\"]\n  5 -> 34 [size =\"22459392\"]\n  5 -> 37 [size =\"22459392\"]\n  5 -> 40 [size =\"22459392\"]\n  5 -> 41 [size =\"22459392\"]\n  5 -> 42 [size =\"22459392\"]\n  6 [size=\"53012480\", alpha=\"0.06\", expect_size=\"15903744\"] \n  6 -> 33 [size =\"15903744\"]\n  6 -> 34 [size =\"15903744\"]\n  6 -> 42 [size =\"15903744\"]\n  7 [size=\"74417493\", alpha=\"0.00\", expect_size=\"22325248\"] \n  7 -> 33 [size =\"22325248\"]\n  7 -> 37 [size =\"22325248\"]\n  7 -> 42 [size =\"22325248\"]\n  8 [size=\"74714453\", alpha=\"0.01\", expect_size=\"22414336\"] \n  8 -> 42 [size =\"22414336\"]\n  8 -> 45 [size =\"22414336\"]\n  9 [size=\"122306560\", alpha=\"0.12\", expect_size=\"36691968\"] \n  9 -> 34 [size =\"36691968\"]\n  9 -> 43 [size =\"36691968\"]\n  9 -> 44 [size =\"36691968\"]\n  10 [size=\"81179307\", alpha=\"0.09\", expect_size=\"24353792\"] \n  10 -> 34 [size =\"24353792\"]\n  10 -> 38 [size =\"24353792\"]\n  11 [size=\"145483093\", alpha=\"0.00\", expect_size=\"43644928\"] \n  11 -> 38 [size =\"43644928\"]\n  11 -> 38 [size =\"43644928\"]\n  12 [size=\"49189547\", alpha=\"0.01\", expect_size=\"14756864\"] \n  12 -> 37 [size =\"14756864\"]\n  12 -> 45 [size =\"14756864\"]\n  13 [size=\"21312853\", alpha=\"0.04\", expect_size=\"6393856\"] \n  13 -> 33 [size =\"6393856\"]\n  13 -> 36 [size =\"6393856\"]\n  13 -> 37 [size =\"6393856\"]\n  13 -> 40 [size =\"6393856\"]\n  13 -> 41 [size =\"6393856\"]\n  13 -> 44 [size =\"6393856\"]\n  13 -> 45 [size =\"6393856\"]\n  14 [size=\"84589227\", alpha=\"0.14\", expect_size=\"25376768\"] \n  14 -> 33 [size =\"25376768\"]\n  14 -> 38 [size =\"25376768\"]\n  14 -> 39 [size =\"25376768\"]\n  14 -> 40 [size =\"25376768\"]\n  14 -> 43 [size =\"25376768\"]\n  14 -> 44 [size =\"25376768\"]\n  15 [size=\"145684480\", alpha=\"0.17\", expect_size=\"43705344\"] \n  15 -> 33 [size =\"43705344\"]\n  15 -> 34 [size =\"43705344\"]\n  15 -> 35 [size =\"43705344\"]\n  16 [size=\"73707520\", alpha=\"0.07\", expect_size=\"22112256\"] \n  16 -> 33 [size =\"22112256\"]\n  16 -> 35 [size =\"22112256\"]\n  16 -> 37 [size =\"22112256\"]\n  16 -> 44 [size =\"22112256\"]\n  17 [size=\"120552107\", alpha=\"0.02\", expect_size=\"36165632\"] \n  17 -> 32 [size =\"36165632\"]\n  17 -> 34 [size =\"36165632\"]\n  17 -> 35 [size =\"36165632\"]\n  17 -> 37 [size =\"36165632\"]\n  17 -> 44 [size =\"36165632\"]\n  18 [size=\"123480747\", alpha=\"0.04\", expect_size=\"37044224\"] \n  18 -> 40 [size =\"37044224\"]\n  18 -> 41 [size =\"37044224\"]\n  19 [size=\"128416427\", alpha=\"0.06\", expect_size=\"38524928\"] \n  19 -> 33 [size =\"38524928\"]\n  19 -> 41 [size =\"38524928\"]\n  19 -> 42 [size =\"38524928\"]\n  19 -> 44 [size =\"38524928\"]\n  19 -> 45 [size =\"38524928\"]\n  20 [size=\"69242880\", alpha=\"0.03\", expect_size=\"20772864\"] \n  20 -> 34 [size =\"20772864\"]\n  20 -> 40 [size =\"20772864\"]\n  20 -> 41 [size =\"20772864\"]\n  20 -> 42 [size =\"20772864\"]\n  21 [size=\"139417600\", alpha=\"0.20\", expect_size=\"41825280\"] \n  21 -> 34 [size =\"41825280\"]\n  21 -> 37 [size =\"41825280\"]\n  21 -> 41 [size =\"41825280\"]\n  22 [size=\"142677333\", alpha=\"0.18\", expect_size=\"42803200\"] \n  22 -> 32 [size =\"42803200\"]\n  22 -> 34 [size =\"42803200\"]\n  22 -> 37 [size =\"42803200\"]\n  22 -> 38 [size =\"42803200\"]\n  22 -> 40 [size =\"42803200\"]\n  22 -> 41 [size =\"42803200\"]\n  23 [size=\"150944427\", alpha=\"0.09\", expect_size=\"45283328\"] \n  23 -> 41 [size =\"45283328\"]\n  23 -> 43 [size =\"45283328\"]\n  24 [size=\"24193707\", alpha=\"0.08\", expect_size=\"7258112\"] \n  24 -> 38 [size =\"7258112\"]\n  24 -> 41 [size =\"7258112\"]\n  24 -> 42 [size =\"7258112\"]\n  24 -> 43 [size =\"7258112\"]\n  25 [size=\"133591040\", alpha=\"0.15\", expect_size=\"40077312\"] \n  25 -> 34 [size =\"40077312\"]\n  25 -> 36 [size =\"40077312\"]\n  25 -> 41 [size =\"40077312\"]\n  25 -> 42 [size =\"40077312\"]\n  25 -> 43 [size =\"40077312\"]\n  26 [size=\"110489600\", alpha=\"0.06\", expect_size=\"33146880\"] \n  26 -> 32 [size =\"33146880\"]\n  26 -> 33 [size =\"33146880\"]\n  26 -> 37 [size =\"33146880\"]\n  26 -> 38 [size =\"33146880\"]\n  26 -> 41 [size =\"33146880\"]\n  26 -> 42 [size =\"33146880\"]\n  26 -> 43 [size =\"33146880\"]\n  27 [size=\"169338880\", alpha=\"0.04\", expect_size=\"50801664\"] \n  27 -> 37 [size =\"50801664\"]\n  27 -> 40 [size =\"50801664\"]\n  27 -> 41 [size =\"50801664\"]\n  27 -> 43 [size =\"50801664\"]\n  28 [size=\"30204587\", alpha=\"0.09\", expect_size=\"9061376\"] \n  28 -> 34 [size =\"9061376\"]\n  28 -> 37 [size =\"9061376\"]\n  28 -> 42 [size =\"9061376\"]\n  28 -> 43 [size =\"9061376\"]\n  29 [size=\"64983040\", alpha=\"0.08\", expect_size=\"19494912\"] \n  29 -> 32 [size =\"19494912\"]\n  29 -> 40 [size =\"19494912\"]\n  29 -> 42 [size =\"19494912\"]\n  30 [size=\"114824533\", alpha=\"0.15\", expect_size=\"34447360\"] \n  30 -> 37 [size =\"34447360\"]\n  30 -> 42 [size =\"34447360\"]\n  30 -> 43 [size =\"34447360\"]\n  31 [size=\"141612373\", alpha=\"0.18\", expect_size=\"42483712\"] \n  31 -> 34 [size =\"42483712\"]\n  31 -> 35 [size =\"42483712\"]\n  31 -> 39 [size =\"42483712\"]\n  31 -> 40 [size =\"42483712\"]\n  31 -> 42 [size =\"42483712\"]\n  31 -> 43 [size =\"42483712\"]\n  32 [size=\"137724587\", alpha=\"0.06\", expect_size=\"41317376\"] \n  33 [size=\"118302720\", alpha=\"0.13\", expect_size=\"35490816\"] \n  34 [size=\"34044587\", alpha=\"0.10\", expect_size=\"10213376\"] \n  35 [size=\"100276907\", alpha=\"0.02\", expect_size=\"30083072\"] \n  36 [size=\"59818667\", alpha=\"0.02\", expect_size=\"17945600\"] \n  37 [size=\"105495893\", alpha=\"0.15\", expect_size=\"31648768\"] \n  38 [size=\"136963413\", alpha=\"0.01\", expect_size=\"41089024\"] \n  39 [size=\"54173013\", alpha=\"0.01\", expect_size=\"16251904\"] \n  40 [size=\"119248213\", alpha=\"0.08\", expect_size=\"35774464\"] \n  41 [size=\"81319253\", alpha=\"0.11\", expect_size=\"24395776\"] \n  42 [size=\"68396373\", alpha=\"0.09\", expect_size=\"20518912\"] \n  43 [size=\"112189440\", alpha=\"0.04\", expect_size=\"33656832\"] \n  44 [size=\"59255467\", alpha=\"0.01\", expect_size=\"17776640\"] \n  45 [size=\"133990400\", alpha=\"0.12\", expect_size=\"40197120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106147840\", alpha=\"0.15\", expect_size=\"31844352\"] \n  1 -> 26 [size =\"31844352\"]\n  1 -> 27 [size =\"31844352\"]\n  1 -> 28 [size =\"31844352\"]\n  1 -> 29 [size =\"31844352\"]\n  1 -> 39 [size =\"31844352\"]\n  1 -> 40 [size =\"31844352\"]\n  1 -> 41 [size =\"31844352\"]\n  1 -> 43 [size =\"31844352\"]\n  2 [size=\"24746667\", alpha=\"0.08\", expect_size=\"7424000\"] \n  2 -> 24 [size =\"7424000\"]\n  2 -> 30 [size =\"7424000\"]\n  2 -> 32 [size =\"7424000\"]\n  2 -> 33 [size =\"7424000\"]\n  2 -> 38 [size =\"7424000\"]\n  2 -> 40 [size =\"7424000\"]\n  3 [size=\"65822720\", alpha=\"0.09\", expect_size=\"19746816\"] \n  3 -> 30 [size =\"19746816\"]\n  3 -> 31 [size =\"19746816\"]\n  3 -> 33 [size =\"19746816\"]\n  3 -> 33 [size =\"19746816\"]\n  3 -> 37 [size =\"19746816\"]\n  3 -> 38 [size =\"19746816\"]\n  3 -> 41 [size =\"19746816\"]\n  3 -> 43 [size =\"19746816\"]\n  3 -> 44 [size =\"19746816\"]\n  4 [size=\"49653760\", alpha=\"0.10\", expect_size=\"14896128\"] \n  4 -> 23 [size =\"14896128\"]\n  4 -> 33 [size =\"14896128\"]\n  4 -> 41 [size =\"14896128\"]\n  4 -> 44 [size =\"14896128\"]\n  5 [size=\"153060693\", alpha=\"0.08\", expect_size=\"45918208\"] \n  5 -> 27 [size =\"45918208\"]\n  5 -> 29 [size =\"45918208\"]\n  5 -> 38 [size =\"45918208\"]\n  5 -> 39 [size =\"45918208\"]\n  5 -> 40 [size =\"45918208\"]\n  5 -> 41 [size =\"45918208\"]\n  5 -> 44 [size =\"45918208\"]\n  6 [size=\"60098560\", alpha=\"0.03\", expect_size=\"18029568\"] \n  6 -> 29 [size =\"18029568\"]\n  6 -> 29 [size =\"18029568\"]\n  6 -> 31 [size =\"18029568\"]\n  6 -> 32 [size =\"18029568\"]\n  6 -> 33 [size =\"18029568\"]\n  6 -> 40 [size =\"18029568\"]\n  6 -> 41 [size =\"18029568\"]\n  6 -> 44 [size =\"18029568\"]\n  7 [size=\"21606400\", alpha=\"0.19\", expect_size=\"6481920\"] \n  7 -> 29 [size =\"6481920\"]\n  7 -> 32 [size =\"6481920\"]\n  7 -> 37 [size =\"6481920\"]\n  7 -> 38 [size =\"6481920\"]\n  7 -> 43 [size =\"6481920\"]\n  8 [size=\"116435627\", alpha=\"0.00\", expect_size=\"34930688\"] \n  8 -> 28 [size =\"34930688\"]\n  8 -> 32 [size =\"34930688\"]\n  8 -> 37 [size =\"34930688\"]\n  8 -> 41 [size =\"34930688\"]\n  8 -> 43 [size =\"34930688\"]\n  9 [size=\"35273387\", alpha=\"0.07\", expect_size=\"10582016\"] \n  9 -> 26 [size =\"10582016\"]\n  9 -> 30 [size =\"10582016\"]\n  9 -> 32 [size =\"10582016\"]\n  9 -> 35 [size =\"10582016\"]\n  9 -> 36 [size =\"10582016\"]\n  9 -> 37 [size =\"10582016\"]\n  9 -> 39 [size =\"10582016\"]\n  9 -> 40 [size =\"10582016\"]\n  9 -> 42 [size =\"10582016\"]\n  9 -> 44 [size =\"10582016\"]\n  10 [size=\"27641173\", alpha=\"0.08\", expect_size=\"8292352\"] \n  10 -> 27 [size =\"8292352\"]\n  10 -> 29 [size =\"8292352\"]\n  10 -> 37 [size =\"8292352\"]\n  10 -> 40 [size =\"8292352\"]\n  10 -> 41 [size =\"8292352\"]\n  10 -> 43 [size =\"8292352\"]\n  10 -> 44 [size =\"8292352\"]\n  11 [size=\"144124587\", alpha=\"0.12\", expect_size=\"43237376\"] \n  11 -> 26 [size =\"43237376\"]\n  11 -> 27 [size =\"43237376\"]\n  11 -> 30 [size =\"43237376\"]\n  11 -> 31 [size =\"43237376\"]\n  11 -> 35 [size =\"43237376\"]\n  11 -> 37 [size =\"43237376\"]\n  11 -> 39 [size =\"43237376\"]\n  11 -> 43 [size =\"43237376\"]\n  12 [size=\"106758827\", alpha=\"0.07\", expect_size=\"32027648\"] \n  12 -> 23 [size =\"32027648\"]\n  12 -> 26 [size =\"32027648\"]\n  12 -> 28 [size =\"32027648\"]\n  12 -> 29 [size =\"32027648\"]\n  13 [size=\"172902400\", alpha=\"0.14\", expect_size=\"51870720\"] \n  13 -> 23 [size =\"51870720\"]\n  13 -> 24 [size =\"51870720\"]\n  13 -> 28 [size =\"51870720\"]\n  13 -> 37 [size =\"51870720\"]\n  13 -> 38 [size =\"51870720\"]\n  13 -> 41 [size =\"51870720\"]\n  14 [size=\"83298987\", alpha=\"0.10\", expect_size=\"24989696\"] \n  14 -> 25 [size =\"24989696\"]\n  14 -> 27 [size =\"24989696\"]\n  14 -> 28 [size =\"24989696\"]\n  14 -> 29 [size =\"24989696\"]\n  14 -> 32 [size =\"24989696\"]\n  14 -> 43 [size =\"24989696\"]\n  15 [size=\"162365440\", alpha=\"0.12\", expect_size=\"48709632\"] \n  15 -> 26 [size =\"48709632\"]\n  15 -> 27 [size =\"48709632\"]\n  15 -> 28 [size =\"48709632\"]\n  15 -> 30 [size =\"48709632\"]\n  15 -> 32 [size =\"48709632\"]\n  15 -> 33 [size =\"48709632\"]\n  15 -> 40 [size =\"48709632\"]\n  15 -> 43 [size =\"48709632\"]\n  16 [size=\"70864213\", alpha=\"0.10\", expect_size=\"21259264\"] \n  16 -> 23 [size =\"21259264\"]\n  16 -> 24 [size =\"21259264\"]\n  16 -> 27 [size =\"21259264\"]\n  16 -> 28 [size =\"21259264\"]\n  16 -> 29 [size =\"21259264\"]\n  16 -> 33 [size =\"21259264\"]\n  16 -> 38 [size =\"21259264\"]\n  16 -> 42 [size =\"21259264\"]\n  16 -> 43 [size =\"21259264\"]\n  17 [size=\"92337493\", alpha=\"0.08\", expect_size=\"27701248\"] \n  17 -> 23 [size =\"27701248\"]\n  17 -> 25 [size =\"27701248\"]\n  17 -> 26 [size =\"27701248\"]\n  17 -> 27 [size =\"27701248\"]\n  17 -> 28 [size =\"27701248\"]\n  17 -> 30 [size =\"27701248\"]\n  17 -> 31 [size =\"27701248\"]\n  17 -> 34 [size =\"27701248\"]\n  17 -> 41 [size =\"27701248\"]\n  17 -> 43 [size =\"27701248\"]\n  17 -> 45 [size =\"27701248\"]\n  18 [size=\"83223893\", alpha=\"0.19\", expect_size=\"24967168\"] \n  18 -> 23 [size =\"24967168\"]\n  18 -> 26 [size =\"24967168\"]\n  18 -> 27 [size =\"24967168\"]\n  18 -> 27 [size =\"24967168\"]\n  18 -> 28 [size =\"24967168\"]\n  18 -> 29 [size =\"24967168\"]\n  18 -> 30 [size =\"24967168\"]\n  18 -> 31 [size =\"24967168\"]\n  18 -> 33 [size =\"24967168\"]\n  18 -> 37 [size =\"24967168\"]\n  18 -> 38 [size =\"24967168\"]\n  18 -> 41 [size =\"24967168\"]\n  19 [size=\"84988587\", alpha=\"0.20\", expect_size=\"25496576\"] \n  19 -> 25 [size =\"25496576\"]\n  19 -> 26 [size =\"25496576\"]\n  19 -> 27 [size =\"25496576\"]\n  19 -> 28 [size =\"25496576\"]\n  19 -> 28 [size =\"25496576\"]\n  19 -> 30 [size =\"25496576\"]\n  19 -> 33 [size =\"25496576\"]\n  20 [size=\"137540267\", alpha=\"0.12\", expect_size=\"41262080\"] \n  20 -> 22 [size =\"41262080\"]\n  20 -> 24 [size =\"41262080\"]\n  20 -> 27 [size =\"41262080\"]\n  20 -> 29 [size =\"41262080\"]\n  20 -> 32 [size =\"41262080\"]\n  20 -> 33 [size =\"41262080\"]\n  20 -> 37 [size =\"41262080\"]\n  20 -> 40 [size =\"41262080\"]\n  20 -> 44 [size =\"41262080\"]\n  21 [size=\"39731200\", alpha=\"0.16\", expect_size=\"11919360\"] \n  21 -> 27 [size =\"11919360\"]\n  21 -> 28 [size =\"11919360\"]\n  21 -> 33 [size =\"11919360\"]\n  21 -> 37 [size =\"11919360\"]\n  21 -> 40 [size =\"11919360\"]\n  22 [size=\"133918720\", alpha=\"0.00\", expect_size=\"40175616\"] \n  23 [size=\"33235627\", alpha=\"0.11\", expect_size=\"9970688\"] \n  24 [size=\"140117333\", alpha=\"0.06\", expect_size=\"42035200\"] \n  25 [size=\"60552533\", alpha=\"0.18\", expect_size=\"18165760\"] \n  26 [size=\"152391680\", alpha=\"0.15\", expect_size=\"45717504\"] \n  27 [size=\"74871467\", alpha=\"0.13\", expect_size=\"22461440\"] \n  28 [size=\"134017707\", alpha=\"0.04\", expect_size=\"40205312\"] \n  29 [size=\"128395947\", alpha=\"0.17\", expect_size=\"38518784\"] \n  30 [size=\"125129387\", alpha=\"0.11\", expect_size=\"37538816\"] \n  31 [size=\"62027093\", alpha=\"0.01\", expect_size=\"18608128\"] \n  32 [size=\"27764053\", alpha=\"0.03\", expect_size=\"8329216\"] \n  33 [size=\"29603840\", alpha=\"0.04\", expect_size=\"8881152\"] \n  34 [size=\"115899733\", alpha=\"0.14\", expect_size=\"34769920\"] \n  35 [size=\"161542827\", alpha=\"0.02\", expect_size=\"48462848\"] \n  36 [size=\"144827733\", alpha=\"0.17\", expect_size=\"43448320\"] \n  37 [size=\"108380160\", alpha=\"0.02\", expect_size=\"32514048\"] \n  38 [size=\"56337067\", alpha=\"0.14\", expect_size=\"16901120\"] \n  39 [size=\"87654400\", alpha=\"0.16\", expect_size=\"26296320\"] \n  40 [size=\"62846293\", alpha=\"0.13\", expect_size=\"18853888\"] \n  41 [size=\"149370880\", alpha=\"0.12\", expect_size=\"44811264\"] \n  42 [size=\"159300267\", alpha=\"0.06\", expect_size=\"47790080\"] \n  43 [size=\"24637440\", alpha=\"0.03\", expect_size=\"7391232\"] \n  44 [size=\"58091520\", alpha=\"0.15\", expect_size=\"17427456\"] \n  45 [size=\"168205653\", alpha=\"0.12\", expect_size=\"50461696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32486400\", alpha=\"0.13\", expect_size=\"12994560\"] \n  1 -> 38 [size =\"12994560\"]\n  1 -> 42 [size =\"12994560\"]\n  1 -> 44 [size =\"12994560\"]\n  1 -> 44 [size =\"12994560\"]\n  2 [size=\"128970240\", alpha=\"0.00\", expect_size=\"51588096\"] \n  2 -> 40 [size =\"51588096\"]\n  2 -> 43 [size =\"51588096\"]\n  3 [size=\"61665280\", alpha=\"0.09\", expect_size=\"24666112\"] \n  3 -> 38 [size =\"24666112\"]\n  3 -> 43 [size =\"24666112\"]\n  4 [size=\"15518720\", alpha=\"0.02\", expect_size=\"6207488\"] \n  4 -> 40 [size =\"6207488\"]\n  4 -> 43 [size =\"6207488\"]\n  4 -> 44 [size =\"6207488\"]\n  5 [size=\"52730880\", alpha=\"0.15\", expect_size=\"21092352\"] \n  5 -> 39 [size =\"21092352\"]\n  5 -> 40 [size =\"21092352\"]\n  5 -> 41 [size =\"21092352\"]\n  5 -> 45 [size =\"21092352\"]\n  6 [size=\"47147520\", alpha=\"0.09\", expect_size=\"18859008\"] \n  6 -> 40 [size =\"18859008\"]\n  6 -> 41 [size =\"18859008\"]\n  6 -> 42 [size =\"18859008\"]\n  6 -> 43 [size =\"18859008\"]\n  6 -> 44 [size =\"18859008\"]\n  6 -> 45 [size =\"18859008\"]\n  7 [size=\"90746880\", alpha=\"0.07\", expect_size=\"36298752\"] \n  7 -> 38 [size =\"36298752\"]\n  7 -> 41 [size =\"36298752\"]\n  7 -> 42 [size =\"36298752\"]\n  7 -> 44 [size =\"36298752\"]\n  7 -> 45 [size =\"36298752\"]\n  8 [size=\"114132480\", alpha=\"0.19\", expect_size=\"45652992\"] \n  8 -> 38 [size =\"45652992\"]\n  8 -> 40 [size =\"45652992\"]\n  8 -> 42 [size =\"45652992\"]\n  8 -> 43 [size =\"45652992\"]\n  9 [size=\"73879040\", alpha=\"0.10\", expect_size=\"29551616\"] \n  9 -> 38 [size =\"29551616\"]\n  9 -> 40 [size =\"29551616\"]\n  9 -> 43 [size =\"29551616\"]\n  9 -> 44 [size =\"29551616\"]\n  10 [size=\"92364800\", alpha=\"0.05\", expect_size=\"36945920\"] \n  10 -> 38 [size =\"36945920\"]\n  10 -> 40 [size =\"36945920\"]\n  10 -> 41 [size =\"36945920\"]\n  10 -> 43 [size =\"36945920\"]\n  11 [size=\"99837440\", alpha=\"0.02\", expect_size=\"39934976\"] \n  11 -> 38 [size =\"39934976\"]\n  11 -> 41 [size =\"39934976\"]\n  11 -> 42 [size =\"39934976\"]\n  12 [size=\"55784960\", alpha=\"0.12\", expect_size=\"22313984\"] \n  12 -> 38 [size =\"22313984\"]\n  12 -> 39 [size =\"22313984\"]\n  12 -> 41 [size =\"22313984\"]\n  12 -> 43 [size =\"22313984\"]\n  12 -> 44 [size =\"22313984\"]\n  13 [size=\"56491520\", alpha=\"0.12\", expect_size=\"22596608\"] \n  13 -> 38 [size =\"22596608\"]\n  13 -> 40 [size =\"22596608\"]\n  13 -> 41 [size =\"22596608\"]\n  13 -> 43 [size =\"22596608\"]\n  13 -> 44 [size =\"22596608\"]\n  14 [size=\"108856320\", alpha=\"0.14\", expect_size=\"43542528\"] \n  14 -> 39 [size =\"43542528\"]\n  14 -> 41 [size =\"43542528\"]\n  14 -> 42 [size =\"43542528\"]\n  15 [size=\"120652800\", alpha=\"0.14\", expect_size=\"48261120\"] \n  15 -> 38 [size =\"48261120\"]\n  15 -> 40 [size =\"48261120\"]\n  15 -> 42 [size =\"48261120\"]\n  16 [size=\"94005760\", alpha=\"0.10\", expect_size=\"37602304\"] \n  16 -> 40 [size =\"37602304\"]\n  16 -> 43 [size =\"37602304\"]\n  16 -> 44 [size =\"37602304\"]\n  17 [size=\"29309440\", alpha=\"0.19\", expect_size=\"11723776\"] \n  17 -> 38 [size =\"11723776\"]\n  17 -> 40 [size =\"11723776\"]\n  17 -> 43 [size =\"11723776\"]\n  18 [size=\"69117440\", alpha=\"0.10\", expect_size=\"27646976\"] \n  18 -> 38 [size =\"27646976\"]\n  18 -> 39 [size =\"27646976\"]\n  18 -> 41 [size =\"27646976\"]\n  18 -> 42 [size =\"27646976\"]\n  18 -> 43 [size =\"27646976\"]\n  18 -> 45 [size =\"27646976\"]\n  19 [size=\"64120320\", alpha=\"0.08\", expect_size=\"25648128\"] \n  19 -> 38 [size =\"25648128\"]\n  19 -> 39 [size =\"25648128\"]\n  19 -> 40 [size =\"25648128\"]\n  19 -> 41 [size =\"25648128\"]\n  19 -> 43 [size =\"25648128\"]\n  19 -> 45 [size =\"25648128\"]\n  20 [size=\"123642880\", alpha=\"0.04\", expect_size=\"49457152\"] \n  20 -> 38 [size =\"49457152\"]\n  20 -> 39 [size =\"49457152\"]\n  20 -> 43 [size =\"49457152\"]\n  21 [size=\"36623360\", alpha=\"0.04\", expect_size=\"14649344\"] \n  21 -> 38 [size =\"14649344\"]\n  21 -> 39 [size =\"14649344\"]\n  21 -> 41 [size =\"14649344\"]\n  21 -> 43 [size =\"14649344\"]\n  21 -> 44 [size =\"14649344\"]\n  22 [size=\"50726400\", alpha=\"0.04\", expect_size=\"20290560\"] \n  22 -> 39 [size =\"20290560\"]\n  22 -> 41 [size =\"20290560\"]\n  22 -> 41 [size =\"20290560\"]\n  22 -> 43 [size =\"20290560\"]\n  22 -> 44 [size =\"20290560\"]\n  23 [size=\"121274880\", alpha=\"0.11\", expect_size=\"48509952\"] \n  23 -> 39 [size =\"48509952\"]\n  23 -> 43 [size =\"48509952\"]\n  23 -> 44 [size =\"48509952\"]\n  24 [size=\"71902720\", alpha=\"0.19\", expect_size=\"28761088\"] \n  24 -> 38 [size =\"28761088\"]\n  24 -> 41 [size =\"28761088\"]\n  24 -> 43 [size =\"28761088\"]\n  24 -> 44 [size =\"28761088\"]\n  25 [size=\"35543040\", alpha=\"0.14\", expect_size=\"14217216\"] \n  25 -> 38 [size =\"14217216\"]\n  25 -> 43 [size =\"14217216\"]\n  25 -> 44 [size =\"14217216\"]\n  26 [size=\"117222400\", alpha=\"0.15\", expect_size=\"46888960\"] \n  26 -> 42 [size =\"46888960\"]\n  26 -> 44 [size =\"46888960\"]\n  27 [size=\"57280000\", alpha=\"0.09\", expect_size=\"22912000\"] \n  27 -> 38 [size =\"22912000\"]\n  27 -> 40 [size =\"22912000\"]\n  27 -> 43 [size =\"22912000\"]\n  28 [size=\"52180480\", alpha=\"0.20\", expect_size=\"20872192\"] \n  28 -> 38 [size =\"20872192\"]\n  28 -> 39 [size =\"20872192\"]\n  29 [size=\"109872640\", alpha=\"0.01\", expect_size=\"43949056\"] \n  29 -> 38 [size =\"43949056\"]\n  29 -> 39 [size =\"43949056\"]\n  29 -> 43 [size =\"43949056\"]\n  30 [size=\"36341760\", alpha=\"0.16\", expect_size=\"14536704\"] \n  30 -> 38 [size =\"14536704\"]\n  30 -> 39 [size =\"14536704\"]\n  30 -> 41 [size =\"14536704\"]\n  30 -> 43 [size =\"14536704\"]\n  31 [size=\"60636160\", alpha=\"0.05\", expect_size=\"24254464\"] \n  31 -> 43 [size =\"24254464\"]\n  31 -> 44 [size =\"24254464\"]\n  32 [size=\"84177920\", alpha=\"0.02\", expect_size=\"33671168\"] \n  32 -> 38 [size =\"33671168\"]\n  32 -> 42 [size =\"33671168\"]\n  32 -> 44 [size =\"33671168\"]\n  33 [size=\"104862720\", alpha=\"0.06\", expect_size=\"41945088\"] \n  33 -> 39 [size =\"41945088\"]\n  33 -> 42 [size =\"41945088\"]\n  33 -> 43 [size =\"41945088\"]\n  33 -> 44 [size =\"41945088\"]\n  34 [size=\"53288960\", alpha=\"0.06\", expect_size=\"21315584\"] \n  34 -> 38 [size =\"21315584\"]\n  34 -> 39 [size =\"21315584\"]\n  34 -> 41 [size =\"21315584\"]\n  34 -> 44 [size =\"21315584\"]\n  35 [size=\"49832960\", alpha=\"0.04\", expect_size=\"19933184\"] \n  35 -> 38 [size =\"19933184\"]\n  35 -> 39 [size =\"19933184\"]\n  35 -> 43 [size =\"19933184\"]\n  35 -> 44 [size =\"19933184\"]\n  36 [size=\"16156160\", alpha=\"0.16\", expect_size=\"6462464\"] \n  36 -> 38 [size =\"6462464\"]\n  36 -> 43 [size =\"6462464\"]\n  36 -> 44 [size =\"6462464\"]\n  37 [size=\"104266240\", alpha=\"0.11\", expect_size=\"41706496\"] \n  37 -> 38 [size =\"41706496\"]\n  37 -> 40 [size =\"41706496\"]\n  37 -> 42 [size =\"41706496\"]\n  37 -> 44 [size =\"41706496\"]\n  38 [size=\"37911040\", alpha=\"0.16\", expect_size=\"15164416\"] \n  39 [size=\"36080640\", alpha=\"0.09\", expect_size=\"14432256\"] \n  40 [size=\"41587200\", alpha=\"0.01\", expect_size=\"16634880\"] \n  41 [size=\"15723520\", alpha=\"0.16\", expect_size=\"6289408\"] \n  42 [size=\"45217280\", alpha=\"0.19\", expect_size=\"18086912\"] \n  43 [size=\"54786560\", alpha=\"0.19\", expect_size=\"21914624\"] \n  44 [size=\"87813120\", alpha=\"0.09\", expect_size=\"35125248\"] \n  45 [size=\"122083840\", alpha=\"0.04\", expect_size=\"48833536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40218624\", alpha=\"0.05\", expect_size=\"20109312\"] \n  1 -> 5 [size =\"20109312\"]\n  2 [size=\"38840320\", alpha=\"0.15\", expect_size=\"19420160\"] \n  3 [size=\"66709504\", alpha=\"0.08\", expect_size=\"33354752\"] \n  3 -> 4 [size =\"33354752\"]\n  3 -> 5 [size =\"33354752\"]\n  3 -> 6 [size =\"33354752\"]\n  4 [size=\"51189760\", alpha=\"0.04\", expect_size=\"25594880\"] \n  4 -> 7 [size =\"25594880\"]\n  5 [size=\"85567488\", alpha=\"0.03\", expect_size=\"42783744\"] \n  6 [size=\"75079680\", alpha=\"0.03\", expect_size=\"37539840\"] \n  6 -> 8 [size =\"37539840\"]\n  7 [size=\"27320320\", alpha=\"0.17\", expect_size=\"13660160\"] \n  7 -> 9 [size =\"13660160\"]\n  7 -> 10 [size =\"13660160\"]\n  7 -> 11 [size =\"13660160\"]\n  8 [size=\"83499008\", alpha=\"0.10\", expect_size=\"41749504\"] \n  8 -> 10 [size =\"41749504\"]\n  8 -> 11 [size =\"41749504\"]\n  9 [size=\"79917056\", alpha=\"0.09\", expect_size=\"39958528\"] \n  10 [size=\"99045376\", alpha=\"0.17\", expect_size=\"49522688\"] \n  10 -> 12 [size =\"49522688\"]\n  11 [size=\"64741376\", alpha=\"0.01\", expect_size=\"32370688\"] \n  11 -> 13 [size =\"32370688\"]\n  12 [size=\"90636288\", alpha=\"0.12\", expect_size=\"45318144\"] \n  13 [size=\"66314240\", alpha=\"0.12\", expect_size=\"33157120\"] \n  13 -> 14 [size =\"33157120\"]\n  13 -> 15 [size =\"33157120\"]\n  14 [size=\"11149312\", alpha=\"0.17\", expect_size=\"5574656\"] \n  14 -> 16 [size =\"5574656\"]\n  14 -> 17 [size =\"5574656\"]\n  15 [size=\"28975104\", alpha=\"0.19\", expect_size=\"14487552\"] \n  15 -> 18 [size =\"14487552\"]\n  16 [size=\"44392448\", alpha=\"0.05\", expect_size=\"22196224\"] \n  16 -> 20 [size =\"22196224\"]\n  16 -> 21 [size =\"22196224\"]\n  17 [size=\"59564032\", alpha=\"0.00\", expect_size=\"29782016\"] \n  17 -> 19 [size =\"29782016\"]\n  17 -> 20 [size =\"29782016\"]\n  18 [size=\"46469120\", alpha=\"0.06\", expect_size=\"23234560\"] \n  18 -> 19 [size =\"23234560\"]\n  18 -> 21 [size =\"23234560\"]\n  19 [size=\"94963712\", alpha=\"0.08\", expect_size=\"47481856\"] \n  20 [size=\"40855552\", alpha=\"0.07\", expect_size=\"20427776\"] \n  20 -> 22 [size =\"20427776\"]\n  20 -> 24 [size =\"20427776\"]\n  21 [size=\"26343424\", alpha=\"0.12\", expect_size=\"13171712\"] \n  21 -> 23 [size =\"13171712\"]\n  21 -> 24 [size =\"13171712\"]\n  22 [size=\"29337600\", alpha=\"0.03\", expect_size=\"14668800\"] \n  22 -> 25 [size =\"14668800\"]\n  22 -> 27 [size =\"14668800\"]\n  23 [size=\"86392832\", alpha=\"0.06\", expect_size=\"43196416\"] \n  23 -> 26 [size =\"43196416\"]\n  24 [size=\"48197632\", alpha=\"0.17\", expect_size=\"24098816\"] \n  25 [size=\"36186112\", alpha=\"0.04\", expect_size=\"18093056\"] \n  25 -> 29 [size =\"18093056\"]\n  25 -> 30 [size =\"18093056\"]\n  26 [size=\"29804544\", alpha=\"0.06\", expect_size=\"14902272\"] \n  27 [size=\"54425600\", alpha=\"0.10\", expect_size=\"27212800\"] \n  27 -> 28 [size =\"27212800\"]\n  28 [size=\"55588864\", alpha=\"0.10\", expect_size=\"27794432\"] \n  28 -> 31 [size =\"27794432\"]\n  29 [size=\"82505728\", alpha=\"0.05\", expect_size=\"41252864\"] \n  29 -> 31 [size =\"41252864\"]\n  29 -> 32 [size =\"41252864\"]\n  29 -> 33 [size =\"41252864\"]\n  30 [size=\"25976832\", alpha=\"0.19\", expect_size=\"12988416\"] \n  31 [size=\"57513984\", alpha=\"0.04\", expect_size=\"28756992\"] \n  31 -> 34 [size =\"28756992\"]\n  31 -> 36 [size =\"28756992\"]\n  32 [size=\"18106368\", alpha=\"0.06\", expect_size=\"9053184\"] \n  32 -> 35 [size =\"9053184\"]\n  33 [size=\"30482432\", alpha=\"0.00\", expect_size=\"15241216\"] \n  34 [size=\"56494080\", alpha=\"0.14\", expect_size=\"28247040\"] \n  34 -> 37 [size =\"28247040\"]\n  34 -> 38 [size =\"28247040\"]\n  35 [size=\"42473472\", alpha=\"0.12\", expect_size=\"21236736\"] \n  35 -> 38 [size =\"21236736\"]\n  36 [size=\"63504384\", alpha=\"0.17\", expect_size=\"31752192\"] \n  36 -> 37 [size =\"31752192\"]\n  37 [size=\"89808896\", alpha=\"0.13\", expect_size=\"44904448\"] \n  37 -> 39 [size =\"44904448\"]\n  37 -> 40 [size =\"44904448\"]\n  38 [size=\"43851776\", alpha=\"0.16\", expect_size=\"21925888\"] \n  38 -> 40 [size =\"21925888\"]\n  38 -> 41 [size =\"21925888\"]\n  39 [size=\"93020160\", alpha=\"0.17\", expect_size=\"46510080\"] \n  39 -> 43 [size =\"46510080\"]\n  40 [size=\"23625728\", alpha=\"0.05\", expect_size=\"11812864\"] \n  40 -> 42 [size =\"11812864\"]\n  41 [size=\"18606080\", alpha=\"0.16\", expect_size=\"9303040\"] \n  41 -> 43 [size =\"9303040\"]\n  42 [size=\"37844992\", alpha=\"0.11\", expect_size=\"18922496\"] \n  42 -> 45 [size =\"18922496\"]\n  43 [size=\"67121152\", alpha=\"0.02\", expect_size=\"33560576\"] \n  43 -> 44 [size =\"33560576\"]\n  43 -> 45 [size =\"33560576\"]\n  44 [size=\"67893248\", alpha=\"0.01\", expect_size=\"33946624\"] \n  45 [size=\"40824832\", alpha=\"0.05\", expect_size=\"20412416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33768960\", alpha=\"0.06\", expect_size=\"13507584\"] \n  1 -> 34 [size =\"13507584\"]\n  1 -> 41 [size =\"13507584\"]\n  1 -> 42 [size =\"13507584\"]\n  1 -> 44 [size =\"13507584\"]\n  1 -> 45 [size =\"13507584\"]\n  2 [size=\"81943040\", alpha=\"0.10\", expect_size=\"32777216\"] \n  2 -> 37 [size =\"32777216\"]\n  2 -> 41 [size =\"32777216\"]\n  2 -> 42 [size =\"32777216\"]\n  2 -> 44 [size =\"32777216\"]\n  3 [size=\"64517120\", alpha=\"0.20\", expect_size=\"25806848\"] \n  3 -> 37 [size =\"25806848\"]\n  3 -> 39 [size =\"25806848\"]\n  3 -> 41 [size =\"25806848\"]\n  3 -> 43 [size =\"25806848\"]\n  3 -> 44 [size =\"25806848\"]\n  4 [size=\"110553600\", alpha=\"0.07\", expect_size=\"44221440\"] \n  4 -> 44 [size =\"44221440\"]\n  5 [size=\"47239680\", alpha=\"0.04\", expect_size=\"18895872\"] \n  5 -> 34 [size =\"18895872\"]\n  5 -> 37 [size =\"18895872\"]\n  5 -> 41 [size =\"18895872\"]\n  6 [size=\"25431040\", alpha=\"0.15\", expect_size=\"10172416\"] \n  6 -> 35 [size =\"10172416\"]\n  6 -> 37 [size =\"10172416\"]\n  6 -> 39 [size =\"10172416\"]\n  7 [size=\"73681920\", alpha=\"0.07\", expect_size=\"29472768\"] \n  7 -> 31 [size =\"29472768\"]\n  7 -> 32 [size =\"29472768\"]\n  7 -> 44 [size =\"29472768\"]\n  8 [size=\"96184320\", alpha=\"0.07\", expect_size=\"38473728\"] \n  8 -> 35 [size =\"38473728\"]\n  8 -> 37 [size =\"38473728\"]\n  8 -> 39 [size =\"38473728\"]\n  8 -> 41 [size =\"38473728\"]\n  9 [size=\"78538240\", alpha=\"0.09\", expect_size=\"31415296\"] \n  9 -> 36 [size =\"31415296\"]\n  9 -> 39 [size =\"31415296\"]\n  9 -> 41 [size =\"31415296\"]\n  9 -> 43 [size =\"31415296\"]\n  10 [size=\"99197440\", alpha=\"0.00\", expect_size=\"39678976\"] \n  10 -> 35 [size =\"39678976\"]\n  10 -> 37 [size =\"39678976\"]\n  10 -> 40 [size =\"39678976\"]\n  10 -> 41 [size =\"39678976\"]\n  10 -> 42 [size =\"39678976\"]\n  10 -> 43 [size =\"39678976\"]\n  10 -> 44 [size =\"39678976\"]\n  11 [size=\"55119360\", alpha=\"0.19\", expect_size=\"22047744\"] \n  11 -> 33 [size =\"22047744\"]\n  11 -> 35 [size =\"22047744\"]\n  11 -> 37 [size =\"22047744\"]\n  11 -> 42 [size =\"22047744\"]\n  11 -> 43 [size =\"22047744\"]\n  11 -> 45 [size =\"22047744\"]\n  12 [size=\"89776640\", alpha=\"0.15\", expect_size=\"35910656\"] \n  12 -> 34 [size =\"35910656\"]\n  12 -> 40 [size =\"35910656\"]\n  12 -> 41 [size =\"35910656\"]\n  12 -> 42 [size =\"35910656\"]\n  13 [size=\"28147200\", alpha=\"0.13\", expect_size=\"11258880\"] \n  13 -> 34 [size =\"11258880\"]\n  13 -> 35 [size =\"11258880\"]\n  13 -> 43 [size =\"11258880\"]\n  14 [size=\"26606080\", alpha=\"0.15\", expect_size=\"10642432\"] \n  14 -> 34 [size =\"10642432\"]\n  14 -> 37 [size =\"10642432\"]\n  14 -> 44 [size =\"10642432\"]\n  14 -> 45 [size =\"10642432\"]\n  15 [size=\"68323840\", alpha=\"0.01\", expect_size=\"27329536\"] \n  15 -> 32 [size =\"27329536\"]\n  15 -> 34 [size =\"27329536\"]\n  15 -> 39 [size =\"27329536\"]\n  15 -> 43 [size =\"27329536\"]\n  15 -> 44 [size =\"27329536\"]\n  15 -> 45 [size =\"27329536\"]\n  16 [size=\"89072640\", alpha=\"0.16\", expect_size=\"35629056\"] \n  16 -> 33 [size =\"35629056\"]\n  16 -> 34 [size =\"35629056\"]\n  16 -> 37 [size =\"35629056\"]\n  17 [size=\"59965440\", alpha=\"0.16\", expect_size=\"23986176\"] \n  17 -> 37 [size =\"23986176\"]\n  17 -> 44 [size =\"23986176\"]\n  18 [size=\"100369920\", alpha=\"0.09\", expect_size=\"40147968\"] \n  18 -> 40 [size =\"40147968\"]\n  18 -> 41 [size =\"40147968\"]\n  19 [size=\"22909440\", alpha=\"0.06\", expect_size=\"9163776\"] \n  19 -> 37 [size =\"9163776\"]\n  20 [size=\"76495360\", alpha=\"0.04\", expect_size=\"30598144\"] \n  20 -> 37 [size =\"30598144\"]\n  20 -> 42 [size =\"30598144\"]\n  20 -> 44 [size =\"30598144\"]\n  21 [size=\"76633600\", alpha=\"0.05\", expect_size=\"30653440\"] \n  21 -> 39 [size =\"30653440\"]\n  21 -> 41 [size =\"30653440\"]\n  21 -> 42 [size =\"30653440\"]\n  21 -> 44 [size =\"30653440\"]\n  22 [size=\"71406080\", alpha=\"0.19\", expect_size=\"28562432\"] \n  22 -> 34 [size =\"28562432\"]\n  22 -> 37 [size =\"28562432\"]\n  22 -> 39 [size =\"28562432\"]\n  23 [size=\"40209920\", alpha=\"0.00\", expect_size=\"16083968\"] \n  23 -> 33 [size =\"16083968\"]\n  23 -> 39 [size =\"16083968\"]\n  23 -> 43 [size =\"16083968\"]\n  24 [size=\"115448320\", alpha=\"0.19\", expect_size=\"46179328\"] \n  24 -> 34 [size =\"46179328\"]\n  24 -> 39 [size =\"46179328\"]\n  24 -> 42 [size =\"46179328\"]\n  24 -> 43 [size =\"46179328\"]\n  24 -> 44 [size =\"46179328\"]\n  25 [size=\"85893120\", alpha=\"0.03\", expect_size=\"34357248\"] \n  25 -> 34 [size =\"34357248\"]\n  25 -> 37 [size =\"34357248\"]\n  25 -> 39 [size =\"34357248\"]\n  25 -> 42 [size =\"34357248\"]\n  25 -> 43 [size =\"34357248\"]\n  25 -> 44 [size =\"34357248\"]\n  26 [size=\"90864640\", alpha=\"0.09\", expect_size=\"36345856\"] \n  26 -> 35 [size =\"36345856\"]\n  26 -> 36 [size =\"36345856\"]\n  26 -> 37 [size =\"36345856\"]\n  26 -> 43 [size =\"36345856\"]\n  27 [size=\"67363840\", alpha=\"0.06\", expect_size=\"26945536\"] \n  27 -> 32 [size =\"26945536\"]\n  27 -> 33 [size =\"26945536\"]\n  27 -> 35 [size =\"26945536\"]\n  27 -> 41 [size =\"26945536\"]\n  27 -> 42 [size =\"26945536\"]\n  28 [size=\"41277440\", alpha=\"0.16\", expect_size=\"16510976\"] \n  28 -> 34 [size =\"16510976\"]\n  28 -> 38 [size =\"16510976\"]\n  28 -> 42 [size =\"16510976\"]\n  28 -> 43 [size =\"16510976\"]\n  29 [size=\"94356480\", alpha=\"0.18\", expect_size=\"37742592\"] \n  29 -> 37 [size =\"37742592\"]\n  29 -> 39 [size =\"37742592\"]\n  29 -> 44 [size =\"37742592\"]\n  30 [size=\"130252800\", alpha=\"0.14\", expect_size=\"52101120\"] \n  30 -> 34 [size =\"52101120\"]\n  30 -> 43 [size =\"52101120\"]\n  31 [size=\"36011520\", alpha=\"0.18\", expect_size=\"14404608\"] \n  32 [size=\"68226560\", alpha=\"0.14\", expect_size=\"27290624\"] \n  33 [size=\"59801600\", alpha=\"0.13\", expect_size=\"23920640\"] \n  34 [size=\"62146560\", alpha=\"0.14\", expect_size=\"24858624\"] \n  35 [size=\"54750720\", alpha=\"0.05\", expect_size=\"21900288\"] \n  36 [size=\"71746560\", alpha=\"0.08\", expect_size=\"28698624\"] \n  37 [size=\"125455360\", alpha=\"0.20\", expect_size=\"50182144\"] \n  38 [size=\"40529920\", alpha=\"0.06\", expect_size=\"16211968\"] \n  39 [size=\"18012160\", alpha=\"0.14\", expect_size=\"7204864\"] \n  40 [size=\"123330560\", alpha=\"0.12\", expect_size=\"49332224\"] \n  41 [size=\"88686080\", alpha=\"0.02\", expect_size=\"35474432\"] \n  42 [size=\"74053120\", alpha=\"0.01\", expect_size=\"29621248\"] \n  43 [size=\"38138880\", alpha=\"0.05\", expect_size=\"15255552\"] \n  44 [size=\"113950720\", alpha=\"0.06\", expect_size=\"45580288\"] \n  45 [size=\"79057920\", alpha=\"0.20\", expect_size=\"31623168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77898240\", alpha=\"0.00\", expect_size=\"31159296\"] \n  1 -> 10 [size =\"31159296\"]\n  1 -> 11 [size =\"31159296\"]\n  1 -> 12 [size =\"31159296\"]\n  2 [size=\"31101440\", alpha=\"0.09\", expect_size=\"12440576\"] \n  2 -> 11 [size =\"12440576\"]\n  2 -> 12 [size =\"12440576\"]\n  3 [size=\"45603840\", alpha=\"0.01\", expect_size=\"18241536\"] \n  3 -> 7 [size =\"18241536\"]\n  3 -> 8 [size =\"18241536\"]\n  4 [size=\"29173760\", alpha=\"0.02\", expect_size=\"11669504\"] \n  4 -> 8 [size =\"11669504\"]\n  4 -> 11 [size =\"11669504\"]\n  5 [size=\"91161600\", alpha=\"0.05\", expect_size=\"36464640\"] \n  5 -> 7 [size =\"36464640\"]\n  5 -> 9 [size =\"36464640\"]\n  5 -> 10 [size =\"36464640\"]\n  5 -> 12 [size =\"36464640\"]\n  6 [size=\"125207040\", alpha=\"0.16\", expect_size=\"50082816\"] \n  6 -> 11 [size =\"50082816\"]\n  6 -> 12 [size =\"50082816\"]\n  7 [size=\"69537280\", alpha=\"0.03\", expect_size=\"27814912\"] \n  7 -> 13 [size =\"27814912\"]\n  7 -> 15 [size =\"27814912\"]\n  7 -> 17 [size =\"27814912\"]\n  8 [size=\"114805760\", alpha=\"0.18\", expect_size=\"45922304\"] \n  9 [size=\"109273600\", alpha=\"0.10\", expect_size=\"43709440\"] \n  9 -> 15 [size =\"43709440\"]\n  9 -> 16 [size =\"43709440\"]\n  10 [size=\"128460800\", alpha=\"0.00\", expect_size=\"51384320\"] \n  10 -> 13 [size =\"51384320\"]\n  10 -> 17 [size =\"51384320\"]\n  11 [size=\"18600960\", alpha=\"0.12\", expect_size=\"7440384\"] \n  11 -> 14 [size =\"7440384\"]\n  11 -> 16 [size =\"7440384\"]\n  12 [size=\"19471360\", alpha=\"0.00\", expect_size=\"7788544\"] \n  12 -> 13 [size =\"7788544\"]\n  12 -> 15 [size =\"7788544\"]\n  12 -> 16 [size =\"7788544\"]\n  12 -> 17 [size =\"7788544\"]\n  13 [size=\"73638400\", alpha=\"0.15\", expect_size=\"29455360\"] \n  13 -> 19 [size =\"29455360\"]\n  13 -> 21 [size =\"29455360\"]\n  13 -> 22 [size =\"29455360\"]\n  14 [size=\"78574080\", alpha=\"0.08\", expect_size=\"31429632\"] \n  14 -> 19 [size =\"31429632\"]\n  14 -> 20 [size =\"31429632\"]\n  14 -> 21 [size =\"31429632\"]\n  15 [size=\"88081920\", alpha=\"0.10\", expect_size=\"35232768\"] \n  15 -> 19 [size =\"35232768\"]\n  15 -> 20 [size =\"35232768\"]\n  15 -> 21 [size =\"35232768\"]\n  15 -> 23 [size =\"35232768\"]\n  16 [size=\"117931520\", alpha=\"0.02\", expect_size=\"47172608\"] \n  16 -> 23 [size =\"47172608\"]\n  17 [size=\"95326720\", alpha=\"0.18\", expect_size=\"38130688\"] \n  17 -> 18 [size =\"38130688\"]\n  17 -> 19 [size =\"38130688\"]\n  18 [size=\"112739840\", alpha=\"0.00\", expect_size=\"45095936\"] \n  18 -> 24 [size =\"45095936\"]\n  18 -> 26 [size =\"45095936\"]\n  18 -> 28 [size =\"45095936\"]\n  19 [size=\"102551040\", alpha=\"0.09\", expect_size=\"41020416\"] \n  19 -> 24 [size =\"41020416\"]\n  19 -> 25 [size =\"41020416\"]\n  19 -> 26 [size =\"41020416\"]\n  19 -> 27 [size =\"41020416\"]\n  19 -> 28 [size =\"41020416\"]\n  20 [size=\"44889600\", alpha=\"0.08\", expect_size=\"17955840\"] \n  20 -> 24 [size =\"17955840\"]\n  20 -> 27 [size =\"17955840\"]\n  20 -> 28 [size =\"17955840\"]\n  21 [size=\"46845440\", alpha=\"0.18\", expect_size=\"18738176\"] \n  21 -> 26 [size =\"18738176\"]\n  21 -> 27 [size =\"18738176\"]\n  22 [size=\"116730880\", alpha=\"0.11\", expect_size=\"46692352\"] \n  22 -> 24 [size =\"46692352\"]\n  22 -> 25 [size =\"46692352\"]\n  22 -> 26 [size =\"46692352\"]\n  22 -> 28 [size =\"46692352\"]\n  23 [size=\"118126080\", alpha=\"0.10\", expect_size=\"47250432\"] \n  23 -> 24 [size =\"47250432\"]\n  23 -> 28 [size =\"47250432\"]\n  24 [size=\"86264320\", alpha=\"0.11\", expect_size=\"34505728\"] \n  24 -> 29 [size =\"34505728\"]\n  25 [size=\"13401600\", alpha=\"0.06\", expect_size=\"5360640\"] \n  26 [size=\"69749760\", alpha=\"0.19\", expect_size=\"27899904\"] \n  26 -> 31 [size =\"27899904\"]\n  26 -> 32 [size =\"27899904\"]\n  26 -> 33 [size =\"27899904\"]\n  27 [size=\"83699200\", alpha=\"0.02\", expect_size=\"33479680\"] \n  27 -> 30 [size =\"33479680\"]\n  27 -> 32 [size =\"33479680\"]\n  27 -> 34 [size =\"33479680\"]\n  28 [size=\"69032960\", alpha=\"0.03\", expect_size=\"27613184\"] \n  28 -> 30 [size =\"27613184\"]\n  28 -> 31 [size =\"27613184\"]\n  28 -> 32 [size =\"27613184\"]\n  29 [size=\"71211520\", alpha=\"0.19\", expect_size=\"28484608\"] \n  29 -> 37 [size =\"28484608\"]\n  29 -> 38 [size =\"28484608\"]\n  29 -> 39 [size =\"28484608\"]\n  29 -> 39 [size =\"28484608\"]\n  29 -> 40 [size =\"28484608\"]\n  30 [size=\"123555840\", alpha=\"0.16\", expect_size=\"49422336\"] \n  30 -> 35 [size =\"49422336\"]\n  30 -> 40 [size =\"49422336\"]\n  31 [size=\"52354560\", alpha=\"0.13\", expect_size=\"20941824\"] \n  31 -> 35 [size =\"20941824\"]\n  31 -> 37 [size =\"20941824\"]\n  32 [size=\"40366080\", alpha=\"0.11\", expect_size=\"16146432\"] \n  32 -> 35 [size =\"16146432\"]\n  32 -> 36 [size =\"16146432\"]\n  32 -> 37 [size =\"16146432\"]\n  32 -> 40 [size =\"16146432\"]\n  33 [size=\"105584640\", alpha=\"0.19\", expect_size=\"42233856\"] \n  33 -> 35 [size =\"42233856\"]\n  33 -> 36 [size =\"42233856\"]\n  33 -> 37 [size =\"42233856\"]\n  33 -> 39 [size =\"42233856\"]\n  34 [size=\"44579840\", alpha=\"0.19\", expect_size=\"17831936\"] \n  34 -> 35 [size =\"17831936\"]\n  34 -> 37 [size =\"17831936\"]\n  34 -> 38 [size =\"17831936\"]\n  34 -> 39 [size =\"17831936\"]\n  35 [size=\"109352960\", alpha=\"0.11\", expect_size=\"43741184\"] \n  35 -> 42 [size =\"43741184\"]\n  35 -> 44 [size =\"43741184\"]\n  36 [size=\"24058880\", alpha=\"0.01\", expect_size=\"9623552\"] \n  36 -> 41 [size =\"9623552\"]\n  36 -> 43 [size =\"9623552\"]\n  37 [size=\"18767360\", alpha=\"0.06\", expect_size=\"7506944\"] \n  37 -> 42 [size =\"7506944\"]\n  37 -> 43 [size =\"7506944\"]\n  37 -> 44 [size =\"7506944\"]\n  37 -> 45 [size =\"7506944\"]\n  38 [size=\"31946240\", alpha=\"0.06\", expect_size=\"12778496\"] \n  38 -> 42 [size =\"12778496\"]\n  38 -> 43 [size =\"12778496\"]\n  39 [size=\"47324160\", alpha=\"0.03\", expect_size=\"18929664\"] \n  39 -> 42 [size =\"18929664\"]\n  39 -> 43 [size =\"18929664\"]\n  39 -> 44 [size =\"18929664\"]\n  39 -> 45 [size =\"18929664\"]\n  40 [size=\"43112960\", alpha=\"0.04\", expect_size=\"17245184\"] \n  40 -> 44 [size =\"17245184\"]\n  40 -> 45 [size =\"17245184\"]\n  41 [size=\"16698880\", alpha=\"0.11\", expect_size=\"6679552\"] \n  42 [size=\"91543040\", alpha=\"0.16\", expect_size=\"36617216\"] \n  43 [size=\"38080000\", alpha=\"0.19\", expect_size=\"15232000\"] \n  44 [size=\"34808320\", alpha=\"0.14\", expect_size=\"13923328\"] \n  45 [size=\"29230080\", alpha=\"0.09\", expect_size=\"11692032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46704640\", alpha=\"0.01\", expect_size=\"23352320\"] \n  1 -> 33 [size =\"23352320\"]\n  1 -> 43 [size =\"23352320\"]\n  1 -> 45 [size =\"23352320\"]\n  2 [size=\"101502976\", alpha=\"0.03\", expect_size=\"50751488\"] \n  2 -> 34 [size =\"50751488\"]\n  2 -> 36 [size =\"50751488\"]\n  2 -> 39 [size =\"50751488\"]\n  3 [size=\"72294400\", alpha=\"0.00\", expect_size=\"36147200\"] \n  3 -> 33 [size =\"36147200\"]\n  3 -> 34 [size =\"36147200\"]\n  3 -> 35 [size =\"36147200\"]\n  3 -> 41 [size =\"36147200\"]\n  4 [size=\"102051840\", alpha=\"0.11\", expect_size=\"51025920\"] \n  4 -> 34 [size =\"51025920\"]\n  4 -> 41 [size =\"51025920\"]\n  4 -> 44 [size =\"51025920\"]\n  4 -> 45 [size =\"51025920\"]\n  5 [size=\"81428480\", alpha=\"0.08\", expect_size=\"40714240\"] \n  5 -> 34 [size =\"40714240\"]\n  5 -> 45 [size =\"40714240\"]\n  6 [size=\"72464384\", alpha=\"0.18\", expect_size=\"36232192\"] \n  6 -> 34 [size =\"36232192\"]\n  6 -> 39 [size =\"36232192\"]\n  6 -> 40 [size =\"36232192\"]\n  6 -> 45 [size =\"36232192\"]\n  7 [size=\"38537216\", alpha=\"0.03\", expect_size=\"19268608\"] \n  7 -> 34 [size =\"19268608\"]\n  7 -> 39 [size =\"19268608\"]\n  7 -> 45 [size =\"19268608\"]\n  8 [size=\"27658240\", alpha=\"0.05\", expect_size=\"13829120\"] \n  8 -> 33 [size =\"13829120\"]\n  8 -> 34 [size =\"13829120\"]\n  8 -> 35 [size =\"13829120\"]\n  8 -> 39 [size =\"13829120\"]\n  8 -> 40 [size =\"13829120\"]\n  8 -> 41 [size =\"13829120\"]\n  8 -> 43 [size =\"13829120\"]\n  8 -> 44 [size =\"13829120\"]\n  9 [size=\"46886912\", alpha=\"0.06\", expect_size=\"23443456\"] \n  9 -> 33 [size =\"23443456\"]\n  9 -> 37 [size =\"23443456\"]\n  9 -> 39 [size =\"23443456\"]\n  9 -> 40 [size =\"23443456\"]\n  9 -> 41 [size =\"23443456\"]\n  9 -> 45 [size =\"23443456\"]\n  10 [size=\"102563840\", alpha=\"0.06\", expect_size=\"51281920\"] \n  10 -> 36 [size =\"51281920\"]\n  10 -> 40 [size =\"51281920\"]\n  10 -> 42 [size =\"51281920\"]\n  10 -> 45 [size =\"51281920\"]\n  11 [size=\"34328576\", alpha=\"0.11\", expect_size=\"17164288\"] \n  11 -> 36 [size =\"17164288\"]\n  11 -> 37 [size =\"17164288\"]\n  11 -> 39 [size =\"17164288\"]\n  11 -> 40 [size =\"17164288\"]\n  11 -> 42 [size =\"17164288\"]\n  11 -> 45 [size =\"17164288\"]\n  12 [size=\"36966400\", alpha=\"0.15\", expect_size=\"18483200\"] \n  12 -> 37 [size =\"18483200\"]\n  12 -> 40 [size =\"18483200\"]\n  12 -> 41 [size =\"18483200\"]\n  12 -> 44 [size =\"18483200\"]\n  13 [size=\"51632128\", alpha=\"0.10\", expect_size=\"25816064\"] \n  13 -> 33 [size =\"25816064\"]\n  13 -> 36 [size =\"25816064\"]\n  13 -> 38 [size =\"25816064\"]\n  13 -> 39 [size =\"25816064\"]\n  13 -> 40 [size =\"25816064\"]\n  13 -> 41 [size =\"25816064\"]\n  13 -> 44 [size =\"25816064\"]\n  14 [size=\"53729280\", alpha=\"0.14\", expect_size=\"26864640\"] \n  14 -> 34 [size =\"26864640\"]\n  14 -> 39 [size =\"26864640\"]\n  14 -> 40 [size =\"26864640\"]\n  14 -> 44 [size =\"26864640\"]\n  14 -> 45 [size =\"26864640\"]\n  15 [size=\"11995136\", alpha=\"0.17\", expect_size=\"5997568\"] \n  15 -> 33 [size =\"5997568\"]\n  15 -> 37 [size =\"5997568\"]\n  15 -> 40 [size =\"5997568\"]\n  15 -> 41 [size =\"5997568\"]\n  15 -> 44 [size =\"5997568\"]\n  16 [size=\"49643520\", alpha=\"0.07\", expect_size=\"24821760\"] \n  16 -> 33 [size =\"24821760\"]\n  16 -> 34 [size =\"24821760\"]\n  16 -> 40 [size =\"24821760\"]\n  16 -> 41 [size =\"24821760\"]\n  16 -> 43 [size =\"24821760\"]\n  16 -> 44 [size =\"24821760\"]\n  16 -> 45 [size =\"24821760\"]\n  17 [size=\"39903232\", alpha=\"0.01\", expect_size=\"19951616\"] \n  17 -> 37 [size =\"19951616\"]\n  17 -> 40 [size =\"19951616\"]\n  17 -> 41 [size =\"19951616\"]\n  17 -> 41 [size =\"19951616\"]\n  17 -> 43 [size =\"19951616\"]\n  17 -> 44 [size =\"19951616\"]\n  17 -> 45 [size =\"19951616\"]\n  18 [size=\"54003712\", alpha=\"0.03\", expect_size=\"27001856\"] \n  18 -> 36 [size =\"27001856\"]\n  18 -> 44 [size =\"27001856\"]\n  19 [size=\"78123008\", alpha=\"0.15\", expect_size=\"39061504\"] \n  19 -> 34 [size =\"39061504\"]\n  19 -> 39 [size =\"39061504\"]\n  19 -> 40 [size =\"39061504\"]\n  20 [size=\"13813760\", alpha=\"0.12\", expect_size=\"6906880\"] \n  20 -> 33 [size =\"6906880\"]\n  20 -> 34 [size =\"6906880\"]\n  20 -> 36 [size =\"6906880\"]\n  21 [size=\"41928704\", alpha=\"0.17\", expect_size=\"20964352\"] \n  21 -> 33 [size =\"20964352\"]\n  21 -> 34 [size =\"20964352\"]\n  21 -> 41 [size =\"20964352\"]\n  21 -> 45 [size =\"20964352\"]\n  22 [size=\"92090368\", alpha=\"0.01\", expect_size=\"46045184\"] \n  22 -> 40 [size =\"46045184\"]\n  22 -> 44 [size =\"46045184\"]\n  23 [size=\"68857856\", alpha=\"0.18\", expect_size=\"34428928\"] \n  23 -> 34 [size =\"34428928\"]\n  23 -> 39 [size =\"34428928\"]\n  23 -> 40 [size =\"34428928\"]\n  24 [size=\"20994048\", alpha=\"0.15\", expect_size=\"10497024\"] \n  24 -> 33 [size =\"10497024\"]\n  24 -> 41 [size =\"10497024\"]\n  24 -> 44 [size =\"10497024\"]\n  24 -> 45 [size =\"10497024\"]\n  25 [size=\"87742464\", alpha=\"0.06\", expect_size=\"43871232\"] \n  25 -> 41 [size =\"43871232\"]\n  25 -> 42 [size =\"43871232\"]\n  25 -> 44 [size =\"43871232\"]\n  25 -> 45 [size =\"43871232\"]\n  26 [size=\"72222720\", alpha=\"0.11\", expect_size=\"36111360\"] \n  26 -> 33 [size =\"36111360\"]\n  26 -> 40 [size =\"36111360\"]\n  26 -> 41 [size =\"36111360\"]\n  26 -> 44 [size =\"36111360\"]\n  27 [size=\"12163072\", alpha=\"0.02\", expect_size=\"6081536\"] \n  27 -> 33 [size =\"6081536\"]\n  27 -> 40 [size =\"6081536\"]\n  27 -> 45 [size =\"6081536\"]\n  28 [size=\"17299456\", alpha=\"0.16\", expect_size=\"8649728\"] \n  28 -> 33 [size =\"8649728\"]\n  28 -> 34 [size =\"8649728\"]\n  28 -> 39 [size =\"8649728\"]\n  28 -> 40 [size =\"8649728\"]\n  29 [size=\"30398464\", alpha=\"0.18\", expect_size=\"15199232\"] \n  29 -> 33 [size =\"15199232\"]\n  29 -> 34 [size =\"15199232\"]\n  29 -> 40 [size =\"15199232\"]\n  30 [size=\"102967296\", alpha=\"0.20\", expect_size=\"51483648\"] \n  30 -> 33 [size =\"51483648\"]\n  30 -> 34 [size =\"51483648\"]\n  30 -> 36 [size =\"51483648\"]\n  30 -> 37 [size =\"51483648\"]\n  30 -> 40 [size =\"51483648\"]\n  31 [size=\"67305472\", alpha=\"0.06\", expect_size=\"33652736\"] \n  31 -> 33 [size =\"33652736\"]\n  31 -> 34 [size =\"33652736\"]\n  31 -> 45 [size =\"33652736\"]\n  32 [size=\"54009856\", alpha=\"0.18\", expect_size=\"27004928\"] \n  32 -> 33 [size =\"27004928\"]\n  32 -> 34 [size =\"27004928\"]\n  32 -> 44 [size =\"27004928\"]\n  33 [size=\"59723776\", alpha=\"0.19\", expect_size=\"29861888\"] \n  34 [size=\"51884032\", alpha=\"0.09\", expect_size=\"25942016\"] \n  35 [size=\"27688960\", alpha=\"0.20\", expect_size=\"13844480\"] \n  36 [size=\"58083328\", alpha=\"0.18\", expect_size=\"29041664\"] \n  37 [size=\"16297984\", alpha=\"0.03\", expect_size=\"8148992\"] \n  38 [size=\"24760320\", alpha=\"0.17\", expect_size=\"12380160\"] \n  39 [size=\"100640768\", alpha=\"0.06\", expect_size=\"50320384\"] \n  40 [size=\"91602944\", alpha=\"0.15\", expect_size=\"45801472\"] \n  41 [size=\"89722880\", alpha=\"0.11\", expect_size=\"44861440\"] \n  42 [size=\"24471552\", alpha=\"0.04\", expect_size=\"12235776\"] \n  43 [size=\"16705536\", alpha=\"0.10\", expect_size=\"8352768\"] \n  44 [size=\"13197312\", alpha=\"0.17\", expect_size=\"6598656\"] \n  45 [size=\"57194496\", alpha=\"0.01\", expect_size=\"28597248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80437248\", alpha=\"0.11\", expect_size=\"40218624\"] \n  1 -> 2 [size =\"40218624\"]\n  2 [size=\"47185920\", alpha=\"0.18\", expect_size=\"23592960\"] \n  2 -> 3 [size =\"23592960\"]\n  3 [size=\"52021248\", alpha=\"0.02\", expect_size=\"26010624\"] \n  3 -> 4 [size =\"26010624\"]\n  4 [size=\"91381760\", alpha=\"0.05\", expect_size=\"45690880\"] \n  4 -> 5 [size =\"45690880\"]\n  5 [size=\"77891584\", alpha=\"0.10\", expect_size=\"38945792\"] \n  5 -> 6 [size =\"38945792\"]\n  6 [size=\"25065472\", alpha=\"0.08\", expect_size=\"12532736\"] \n  6 -> 7 [size =\"12532736\"]\n  7 [size=\"82366464\", alpha=\"0.00\", expect_size=\"41183232\"] \n  7 -> 8 [size =\"41183232\"]\n  8 [size=\"93163520\", alpha=\"0.01\", expect_size=\"46581760\"] \n  8 -> 9 [size =\"46581760\"]\n  9 [size=\"41625600\", alpha=\"0.07\", expect_size=\"20812800\"] \n  9 -> 10 [size =\"20812800\"]\n  10 [size=\"47427584\", alpha=\"0.03\", expect_size=\"23713792\"] \n  10 -> 11 [size =\"23713792\"]\n  11 [size=\"72437760\", alpha=\"0.01\", expect_size=\"36218880\"] \n  11 -> 12 [size =\"36218880\"]\n  12 [size=\"30486528\", alpha=\"0.03\", expect_size=\"15243264\"] \n  12 -> 13 [size =\"15243264\"]\n  13 [size=\"22792192\", alpha=\"0.18\", expect_size=\"11396096\"] \n  13 -> 14 [size =\"11396096\"]\n  14 [size=\"31692800\", alpha=\"0.07\", expect_size=\"15846400\"] \n  14 -> 15 [size =\"15846400\"]\n  15 [size=\"54427648\", alpha=\"0.18\", expect_size=\"27213824\"] \n  15 -> 16 [size =\"27213824\"]\n  16 [size=\"99604480\", alpha=\"0.16\", expect_size=\"49802240\"] \n  16 -> 17 [size =\"49802240\"]\n  17 [size=\"41814016\", alpha=\"0.10\", expect_size=\"20907008\"] \n  17 -> 18 [size =\"20907008\"]\n  18 [size=\"42782720\", alpha=\"0.03\", expect_size=\"21391360\"] \n  18 -> 19 [size =\"21391360\"]\n  19 [size=\"45234176\", alpha=\"0.12\", expect_size=\"22617088\"] \n  19 -> 20 [size =\"22617088\"]\n  20 [size=\"76208128\", alpha=\"0.06\", expect_size=\"38104064\"] \n  20 -> 21 [size =\"38104064\"]\n  21 [size=\"90068992\", alpha=\"0.15\", expect_size=\"45034496\"] \n  21 -> 22 [size =\"45034496\"]\n  22 [size=\"95219712\", alpha=\"0.11\", expect_size=\"47609856\"] \n  22 -> 23 [size =\"47609856\"]\n  23 [size=\"13144064\", alpha=\"0.17\", expect_size=\"6572032\"] \n  23 -> 24 [size =\"6572032\"]\n  24 [size=\"97857536\", alpha=\"0.19\", expect_size=\"48928768\"] \n  24 -> 25 [size =\"48928768\"]\n  25 [size=\"36954112\", alpha=\"0.16\", expect_size=\"18477056\"] \n  25 -> 26 [size =\"18477056\"]\n  26 [size=\"29495296\", alpha=\"0.15\", expect_size=\"14747648\"] \n  26 -> 27 [size =\"14747648\"]\n  27 [size=\"12750848\", alpha=\"0.10\", expect_size=\"6375424\"] \n  27 -> 28 [size =\"6375424\"]\n  28 [size=\"61300736\", alpha=\"0.03\", expect_size=\"30650368\"] \n  28 -> 29 [size =\"30650368\"]\n  29 [size=\"75433984\", alpha=\"0.02\", expect_size=\"37716992\"] \n  29 -> 30 [size =\"37716992\"]\n  30 [size=\"39393280\", alpha=\"0.09\", expect_size=\"19696640\"] \n  30 -> 31 [size =\"19696640\"]\n  31 [size=\"68644864\", alpha=\"0.09\", expect_size=\"34322432\"] \n  31 -> 32 [size =\"34322432\"]\n  32 [size=\"44398592\", alpha=\"0.13\", expect_size=\"22199296\"] \n  32 -> 33 [size =\"22199296\"]\n  33 [size=\"97728512\", alpha=\"0.00\", expect_size=\"48864256\"] \n  33 -> 34 [size =\"48864256\"]\n  34 [size=\"81428480\", alpha=\"0.12\", expect_size=\"40714240\"] \n  34 -> 35 [size =\"40714240\"]\n  35 [size=\"76394496\", alpha=\"0.12\", expect_size=\"38197248\"] \n  35 -> 36 [size =\"38197248\"]\n  36 [size=\"55660544\", alpha=\"0.12\", expect_size=\"27830272\"] \n  36 -> 37 [size =\"27830272\"]\n  37 [size=\"33810432\", alpha=\"0.18\", expect_size=\"16905216\"] \n  37 -> 38 [size =\"16905216\"]\n  38 [size=\"82724864\", alpha=\"0.11\", expect_size=\"41362432\"] \n  38 -> 39 [size =\"41362432\"]\n  39 [size=\"96342016\", alpha=\"0.12\", expect_size=\"48171008\"] \n  39 -> 40 [size =\"48171008\"]\n  40 [size=\"11425792\", alpha=\"0.06\", expect_size=\"5712896\"] \n  40 -> 41 [size =\"5712896\"]\n  41 [size=\"53667840\", alpha=\"0.18\", expect_size=\"26833920\"] \n  41 -> 42 [size =\"26833920\"]\n  42 [size=\"96272384\", alpha=\"0.07\", expect_size=\"48136192\"] \n  42 -> 43 [size =\"48136192\"]\n  43 [size=\"64874496\", alpha=\"0.17\", expect_size=\"32437248\"] \n  43 -> 44 [size =\"32437248\"]\n  44 [size=\"66150400\", alpha=\"0.05\", expect_size=\"33075200\"] \n  44 -> 45 [size =\"33075200\"]\n  45 [size=\"26937344\", alpha=\"0.19\", expect_size=\"13468672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37048320\", alpha=\"0.07\", expect_size=\"18524160\"] \n  1 -> 2 [size =\"18524160\"]\n  2 [size=\"101900288\", alpha=\"0.11\", expect_size=\"50950144\"] \n  2 -> 3 [size =\"50950144\"]\n  3 [size=\"96659456\", alpha=\"0.02\", expect_size=\"48329728\"] \n  3 -> 4 [size =\"48329728\"]\n  4 [size=\"42625024\", alpha=\"0.07\", expect_size=\"21312512\"] \n  4 -> 5 [size =\"21312512\"]\n  5 [size=\"24633344\", alpha=\"0.07\", expect_size=\"12316672\"] \n  5 -> 6 [size =\"12316672\"]\n  6 [size=\"34875392\", alpha=\"0.01\", expect_size=\"17437696\"] \n  6 -> 7 [size =\"17437696\"]\n  7 [size=\"54966272\", alpha=\"0.02\", expect_size=\"27483136\"] \n  7 -> 8 [size =\"27483136\"]\n  8 [size=\"18200576\", alpha=\"0.03\", expect_size=\"9100288\"] \n  8 -> 9 [size =\"9100288\"]\n  9 [size=\"51953664\", alpha=\"0.02\", expect_size=\"25976832\"] \n  9 -> 10 [size =\"25976832\"]\n  10 [size=\"42604544\", alpha=\"0.11\", expect_size=\"21302272\"] \n  10 -> 11 [size =\"21302272\"]\n  11 [size=\"48711680\", alpha=\"0.01\", expect_size=\"24355840\"] \n  11 -> 12 [size =\"24355840\"]\n  12 [size=\"79831040\", alpha=\"0.19\", expect_size=\"39915520\"] \n  12 -> 13 [size =\"39915520\"]\n  13 [size=\"37697536\", alpha=\"0.03\", expect_size=\"18848768\"] \n  13 -> 14 [size =\"18848768\"]\n  14 [size=\"48308224\", alpha=\"0.18\", expect_size=\"24154112\"] \n  14 -> 15 [size =\"24154112\"]\n  15 [size=\"79546368\", alpha=\"0.14\", expect_size=\"39773184\"] \n  15 -> 16 [size =\"39773184\"]\n  16 [size=\"17217536\", alpha=\"0.12\", expect_size=\"8608768\"] \n  16 -> 17 [size =\"8608768\"]\n  17 [size=\"21442560\", alpha=\"0.10\", expect_size=\"10721280\"] \n  17 -> 18 [size =\"10721280\"]\n  18 [size=\"33181696\", alpha=\"0.09\", expect_size=\"16590848\"] \n  18 -> 19 [size =\"16590848\"]\n  19 [size=\"47237120\", alpha=\"0.03\", expect_size=\"23618560\"] \n  19 -> 20 [size =\"23618560\"]\n  20 [size=\"55017472\", alpha=\"0.07\", expect_size=\"27508736\"] \n  20 -> 21 [size =\"27508736\"]\n  21 [size=\"11010048\", alpha=\"0.17\", expect_size=\"5505024\"] \n  21 -> 22 [size =\"5505024\"]\n  22 [size=\"14143488\", alpha=\"0.07\", expect_size=\"7071744\"] \n  22 -> 23 [size =\"7071744\"]\n  23 [size=\"103612416\", alpha=\"0.14\", expect_size=\"51806208\"] \n  23 -> 24 [size =\"51806208\"]\n  24 [size=\"24645632\", alpha=\"0.09\", expect_size=\"12322816\"] \n  24 -> 25 [size =\"12322816\"]\n  25 [size=\"17408000\", alpha=\"0.07\", expect_size=\"8704000\"] \n  25 -> 26 [size =\"8704000\"]\n  26 [size=\"84037632\", alpha=\"0.09\", expect_size=\"42018816\"] \n  26 -> 27 [size =\"42018816\"]\n  27 [size=\"44005376\", alpha=\"0.02\", expect_size=\"22002688\"] \n  27 -> 28 [size =\"22002688\"]\n  28 [size=\"93280256\", alpha=\"0.15\", expect_size=\"46640128\"] \n  28 -> 29 [size =\"46640128\"]\n  29 [size=\"41539584\", alpha=\"0.18\", expect_size=\"20769792\"] \n  29 -> 30 [size =\"20769792\"]\n  30 [size=\"53927936\", alpha=\"0.07\", expect_size=\"26963968\"] \n  30 -> 31 [size =\"26963968\"]\n  31 [size=\"87513088\", alpha=\"0.05\", expect_size=\"43756544\"] \n  31 -> 32 [size =\"43756544\"]\n  32 [size=\"74489856\", alpha=\"0.17\", expect_size=\"37244928\"] \n  32 -> 33 [size =\"37244928\"]\n  33 [size=\"11900928\", alpha=\"0.15\", expect_size=\"5950464\"] \n  33 -> 34 [size =\"5950464\"]\n  34 [size=\"80293888\", alpha=\"0.01\", expect_size=\"40146944\"] \n  34 -> 35 [size =\"40146944\"]\n  35 [size=\"28692480\", alpha=\"0.02\", expect_size=\"14346240\"] \n  35 -> 36 [size =\"14346240\"]\n  36 [size=\"59990016\", alpha=\"0.04\", expect_size=\"29995008\"] \n  36 -> 37 [size =\"29995008\"]\n  37 [size=\"104202240\", alpha=\"0.08\", expect_size=\"52101120\"] \n  37 -> 38 [size =\"52101120\"]\n  38 [size=\"17072128\", alpha=\"0.17\", expect_size=\"8536064\"] \n  38 -> 39 [size =\"8536064\"]\n  39 [size=\"89425920\", alpha=\"0.14\", expect_size=\"44712960\"] \n  39 -> 40 [size =\"44712960\"]\n  40 [size=\"79624192\", alpha=\"0.00\", expect_size=\"39812096\"] \n  40 -> 41 [size =\"39812096\"]\n  41 [size=\"19781632\", alpha=\"0.07\", expect_size=\"9890816\"] \n  41 -> 42 [size =\"9890816\"]\n  42 [size=\"42502144\", alpha=\"0.14\", expect_size=\"21251072\"] \n  42 -> 43 [size =\"21251072\"]\n  43 [size=\"28385280\", alpha=\"0.01\", expect_size=\"14192640\"] \n  43 -> 44 [size =\"14192640\"]\n  44 [size=\"99018752\", alpha=\"0.11\", expect_size=\"49509376\"] \n  44 -> 45 [size =\"49509376\"]\n  45 [size=\"103477248\", alpha=\"0.03\", expect_size=\"51738624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27173547\", alpha=\"0.09\", expect_size=\"8152064\"] \n  1 -> 4 [size =\"8152064\"]\n  1 -> 5 [size =\"8152064\"]\n  2 [size=\"93228373\", alpha=\"0.11\", expect_size=\"27968512\"] \n  2 -> 3 [size =\"27968512\"]\n  2 -> 5 [size =\"27968512\"]\n  3 [size=\"127252480\", alpha=\"0.19\", expect_size=\"38175744\"] \n  3 -> 6 [size =\"38175744\"]\n  4 [size=\"130556587\", alpha=\"0.17\", expect_size=\"39166976\"] \n  4 -> 6 [size =\"39166976\"]\n  4 -> 7 [size =\"39166976\"]\n  5 [size=\"39185067\", alpha=\"0.19\", expect_size=\"11755520\"] \n  5 -> 6 [size =\"11755520\"]\n  5 -> 7 [size =\"11755520\"]\n  6 [size=\"121248427\", alpha=\"0.07\", expect_size=\"36374528\"] \n  6 -> 8 [size =\"36374528\"]\n  6 -> 9 [size =\"36374528\"]\n  6 -> 10 [size =\"36374528\"]\n  7 [size=\"70263467\", alpha=\"0.14\", expect_size=\"21079040\"] \n  7 -> 8 [size =\"21079040\"]\n  7 -> 9 [size =\"21079040\"]\n  8 [size=\"84322987\", alpha=\"0.17\", expect_size=\"25296896\"] \n  8 -> 11 [size =\"25296896\"]\n  8 -> 12 [size =\"25296896\"]\n  9 [size=\"136878080\", alpha=\"0.02\", expect_size=\"41063424\"] \n  9 -> 11 [size =\"41063424\"]\n  9 -> 12 [size =\"41063424\"]\n  10 [size=\"55808000\", alpha=\"0.07\", expect_size=\"16742400\"] \n  10 -> 11 [size =\"16742400\"]\n  10 -> 12 [size =\"16742400\"]\n  11 [size=\"27951787\", alpha=\"0.19\", expect_size=\"8385536\"] \n  11 -> 13 [size =\"8385536\"]\n  11 -> 14 [size =\"8385536\"]\n  12 [size=\"96341333\", alpha=\"0.03\", expect_size=\"28902400\"] \n  12 -> 13 [size =\"28902400\"]\n  13 [size=\"23336960\", alpha=\"0.08\", expect_size=\"7001088\"] \n  13 -> 15 [size =\"7001088\"]\n  13 -> 16 [size =\"7001088\"]\n  13 -> 17 [size =\"7001088\"]\n  14 [size=\"173134507\", alpha=\"0.03\", expect_size=\"51940352\"] \n  14 -> 16 [size =\"51940352\"]\n  14 -> 17 [size =\"51940352\"]\n  15 [size=\"152064000\", alpha=\"0.18\", expect_size=\"45619200\"] \n  15 -> 19 [size =\"45619200\"]\n  15 -> 20 [size =\"45619200\"]\n  16 [size=\"147411627\", alpha=\"0.17\", expect_size=\"44223488\"] \n  16 -> 18 [size =\"44223488\"]\n  17 [size=\"42038613\", alpha=\"0.14\", expect_size=\"12611584\"] \n  17 -> 18 [size =\"12611584\"]\n  17 -> 20 [size =\"12611584\"]\n  18 [size=\"155443200\", alpha=\"0.02\", expect_size=\"46632960\"] \n  18 -> 21 [size =\"46632960\"]\n  18 -> 22 [size =\"46632960\"]\n  19 [size=\"132703573\", alpha=\"0.05\", expect_size=\"39811072\"] \n  19 -> 21 [size =\"39811072\"]\n  19 -> 22 [size =\"39811072\"]\n  20 [size=\"147339947\", alpha=\"0.11\", expect_size=\"44201984\"] \n  20 -> 21 [size =\"44201984\"]\n  21 [size=\"41908907\", alpha=\"0.19\", expect_size=\"12572672\"] \n  21 -> 23 [size =\"12572672\"]\n  21 -> 24 [size =\"12572672\"]\n  22 [size=\"32942080\", alpha=\"0.16\", expect_size=\"9882624\"] \n  22 -> 23 [size =\"9882624\"]\n  22 -> 24 [size =\"9882624\"]\n  23 [size=\"55040000\", alpha=\"0.07\", expect_size=\"16512000\"] \n  23 -> 25 [size =\"16512000\"]\n  23 -> 26 [size =\"16512000\"]\n  23 -> 27 [size =\"16512000\"]\n  24 [size=\"118179840\", alpha=\"0.13\", expect_size=\"35453952\"] \n  24 -> 25 [size =\"35453952\"]\n  25 [size=\"145619627\", alpha=\"0.01\", expect_size=\"43685888\"] \n  25 -> 28 [size =\"43685888\"]\n  25 -> 29 [size =\"43685888\"]\n  26 [size=\"127286613\", alpha=\"0.02\", expect_size=\"38185984\"] \n  26 -> 28 [size =\"38185984\"]\n  26 -> 29 [size =\"38185984\"]\n  27 [size=\"105946453\", alpha=\"0.10\", expect_size=\"31783936\"] \n  27 -> 28 [size =\"31783936\"]\n  27 -> 29 [size =\"31783936\"]\n  28 [size=\"57146027\", alpha=\"0.07\", expect_size=\"17143808\"] \n  28 -> 30 [size =\"17143808\"]\n  28 -> 31 [size =\"17143808\"]\n  29 [size=\"70649173\", alpha=\"0.19\", expect_size=\"21194752\"] \n  29 -> 30 [size =\"21194752\"]\n  29 -> 31 [size =\"21194752\"]\n  30 [size=\"111431680\", alpha=\"0.16\", expect_size=\"33429504\"] \n  30 -> 32 [size =\"33429504\"]\n  30 -> 34 [size =\"33429504\"]\n  31 [size=\"44240213\", alpha=\"0.14\", expect_size=\"13272064\"] \n  31 -> 32 [size =\"13272064\"]\n  31 -> 33 [size =\"13272064\"]\n  31 -> 34 [size =\"13272064\"]\n  32 [size=\"36061867\", alpha=\"0.02\", expect_size=\"10818560\"] \n  32 -> 35 [size =\"10818560\"]\n  33 [size=\"162648747\", alpha=\"0.11\", expect_size=\"48794624\"] \n  33 -> 35 [size =\"48794624\"]\n  34 [size=\"61921280\", alpha=\"0.19\", expect_size=\"18576384\"] \n  34 -> 35 [size =\"18576384\"]\n  34 -> 36 [size =\"18576384\"]\n  35 [size=\"161532587\", alpha=\"0.05\", expect_size=\"48459776\"] \n  35 -> 37 [size =\"48459776\"]\n  35 -> 38 [size =\"48459776\"]\n  36 [size=\"168625493\", alpha=\"0.07\", expect_size=\"50587648\"] \n  36 -> 37 [size =\"50587648\"]\n  36 -> 38 [size =\"50587648\"]\n  37 [size=\"29682347\", alpha=\"0.12\", expect_size=\"8904704\"] \n  37 -> 39 [size =\"8904704\"]\n  37 -> 40 [size =\"8904704\"]\n  38 [size=\"112063147\", alpha=\"0.15\", expect_size=\"33618944\"] \n  38 -> 39 [size =\"33618944\"]\n  39 [size=\"168048640\", alpha=\"0.13\", expect_size=\"50414592\"] \n  39 -> 42 [size =\"50414592\"]\n  40 [size=\"159750827\", alpha=\"0.07\", expect_size=\"47925248\"] \n  40 -> 41 [size =\"47925248\"]\n  41 [size=\"125504853\", alpha=\"0.04\", expect_size=\"37651456\"] \n  41 -> 44 [size =\"37651456\"]\n  41 -> 45 [size =\"37651456\"]\n  42 [size=\"75786240\", alpha=\"0.03\", expect_size=\"22735872\"] \n  42 -> 43 [size =\"22735872\"]\n  42 -> 45 [size =\"22735872\"]\n  43 [size=\"89460053\", alpha=\"0.07\", expect_size=\"26838016\"] \n  44 [size=\"172390400\", alpha=\"0.04\", expect_size=\"51717120\"] \n  45 [size=\"165662720\", alpha=\"0.17\", expect_size=\"49698816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57591808\", alpha=\"0.12\", expect_size=\"28795904\"] \n  1 -> 5 [size =\"28795904\"]\n  2 [size=\"53424128\", alpha=\"0.18\", expect_size=\"26712064\"] \n  2 -> 5 [size =\"26712064\"]\n  2 -> 7 [size =\"26712064\"]\n  3 [size=\"30984192\", alpha=\"0.10\", expect_size=\"15492096\"] \n  3 -> 5 [size =\"15492096\"]\n  3 -> 6 [size =\"15492096\"]\n  3 -> 7 [size =\"15492096\"]\n  3 -> 8 [size =\"15492096\"]\n  3 -> 9 [size =\"15492096\"]\n  4 [size=\"82319360\", alpha=\"0.18\", expect_size=\"41159680\"] \n  4 -> 7 [size =\"41159680\"]\n  4 -> 9 [size =\"41159680\"]\n  4 -> 10 [size =\"41159680\"]\n  5 [size=\"34439168\", alpha=\"0.08\", expect_size=\"17219584\"] \n  6 [size=\"98760704\", alpha=\"0.03\", expect_size=\"49380352\"] \n  6 -> 13 [size =\"49380352\"]\n  6 -> 14 [size =\"49380352\"]\n  6 -> 15 [size =\"49380352\"]\n  6 -> 16 [size =\"49380352\"]\n  7 [size=\"74299392\", alpha=\"0.18\", expect_size=\"37149696\"] \n  7 -> 11 [size =\"37149696\"]\n  7 -> 12 [size =\"37149696\"]\n  7 -> 13 [size =\"37149696\"]\n  7 -> 14 [size =\"37149696\"]\n  7 -> 16 [size =\"37149696\"]\n  8 [size=\"47935488\", alpha=\"0.01\", expect_size=\"23967744\"] \n  8 -> 11 [size =\"23967744\"]\n  8 -> 12 [size =\"23967744\"]\n  8 -> 16 [size =\"23967744\"]\n  9 [size=\"25556992\", alpha=\"0.14\", expect_size=\"12778496\"] \n  9 -> 11 [size =\"12778496\"]\n  9 -> 13 [size =\"12778496\"]\n  9 -> 14 [size =\"12778496\"]\n  10 [size=\"86063104\", alpha=\"0.12\", expect_size=\"43031552\"] \n  10 -> 14 [size =\"43031552\"]\n  10 -> 16 [size =\"43031552\"]\n  11 [size=\"80068608\", alpha=\"0.18\", expect_size=\"40034304\"] \n  11 -> 18 [size =\"40034304\"]\n  12 [size=\"41588736\", alpha=\"0.00\", expect_size=\"20794368\"] \n  12 -> 17 [size =\"20794368\"]\n  12 -> 18 [size =\"20794368\"]\n  12 -> 20 [size =\"20794368\"]\n  13 [size=\"30679040\", alpha=\"0.08\", expect_size=\"15339520\"] \n  13 -> 17 [size =\"15339520\"]\n  13 -> 18 [size =\"15339520\"]\n  13 -> 22 [size =\"15339520\"]\n  14 [size=\"78620672\", alpha=\"0.13\", expect_size=\"39310336\"] \n  14 -> 19 [size =\"39310336\"]\n  15 [size=\"68368384\", alpha=\"0.14\", expect_size=\"34184192\"] \n  15 -> 17 [size =\"34184192\"]\n  15 -> 18 [size =\"34184192\"]\n  15 -> 22 [size =\"34184192\"]\n  16 [size=\"11255808\", alpha=\"0.03\", expect_size=\"5627904\"] \n  16 -> 21 [size =\"5627904\"]\n  17 [size=\"26906624\", alpha=\"0.10\", expect_size=\"13453312\"] \n  17 -> 23 [size =\"13453312\"]\n  17 -> 26 [size =\"13453312\"]\n  18 [size=\"18907136\", alpha=\"0.12\", expect_size=\"9453568\"] \n  18 -> 23 [size =\"9453568\"]\n  18 -> 27 [size =\"9453568\"]\n  19 [size=\"23916544\", alpha=\"0.08\", expect_size=\"11958272\"] \n  19 -> 24 [size =\"11958272\"]\n  19 -> 25 [size =\"11958272\"]\n  20 [size=\"91600896\", alpha=\"0.00\", expect_size=\"45800448\"] \n  20 -> 24 [size =\"45800448\"]\n  21 [size=\"55488512\", alpha=\"0.02\", expect_size=\"27744256\"] \n  21 -> 24 [size =\"27744256\"]\n  21 -> 26 [size =\"27744256\"]\n  21 -> 28 [size =\"27744256\"]\n  22 [size=\"44001280\", alpha=\"0.13\", expect_size=\"22000640\"] \n  22 -> 26 [size =\"22000640\"]\n  22 -> 27 [size =\"22000640\"]\n  23 [size=\"45619200\", alpha=\"0.09\", expect_size=\"22809600\"] \n  23 -> 29 [size =\"22809600\"]\n  23 -> 30 [size =\"22809600\"]\n  23 -> 31 [size =\"22809600\"]\n  23 -> 32 [size =\"22809600\"]\n  23 -> 33 [size =\"22809600\"]\n  23 -> 34 [size =\"22809600\"]\n  24 [size=\"85524480\", alpha=\"0.20\", expect_size=\"42762240\"] \n  24 -> 34 [size =\"42762240\"]\n  24 -> 35 [size =\"42762240\"]\n  25 [size=\"50958336\", alpha=\"0.15\", expect_size=\"25479168\"] \n  25 -> 31 [size =\"25479168\"]\n  25 -> 33 [size =\"25479168\"]\n  25 -> 34 [size =\"25479168\"]\n  25 -> 35 [size =\"25479168\"]\n  26 [size=\"20566016\", alpha=\"0.10\", expect_size=\"10283008\"] \n  26 -> 30 [size =\"10283008\"]\n  26 -> 33 [size =\"10283008\"]\n  26 -> 35 [size =\"10283008\"]\n  27 [size=\"36904960\", alpha=\"0.18\", expect_size=\"18452480\"] \n  27 -> 31 [size =\"18452480\"]\n  28 [size=\"85555200\", alpha=\"0.14\", expect_size=\"42777600\"] \n  28 -> 29 [size =\"42777600\"]\n  28 -> 30 [size =\"42777600\"]\n  28 -> 31 [size =\"42777600\"]\n  28 -> 34 [size =\"42777600\"]\n  28 -> 35 [size =\"42777600\"]\n  29 [size=\"48850944\", alpha=\"0.13\", expect_size=\"24425472\"] \n  29 -> 40 [size =\"24425472\"]\n  30 [size=\"87957504\", alpha=\"0.08\", expect_size=\"43978752\"] \n  30 -> 37 [size =\"43978752\"]\n  30 -> 39 [size =\"43978752\"]\n  30 -> 41 [size =\"43978752\"]\n  31 [size=\"89526272\", alpha=\"0.18\", expect_size=\"44763136\"] \n  31 -> 36 [size =\"44763136\"]\n  32 [size=\"100661248\", alpha=\"0.15\", expect_size=\"50330624\"] \n  32 -> 36 [size =\"50330624\"]\n  32 -> 41 [size =\"50330624\"]\n  33 [size=\"69933056\", alpha=\"0.15\", expect_size=\"34966528\"] \n  33 -> 36 [size =\"34966528\"]\n  33 -> 40 [size =\"34966528\"]\n  33 -> 41 [size =\"34966528\"]\n  34 [size=\"17838080\", alpha=\"0.11\", expect_size=\"8919040\"] \n  34 -> 36 [size =\"8919040\"]\n  34 -> 38 [size =\"8919040\"]\n  34 -> 41 [size =\"8919040\"]\n  34 -> 42 [size =\"8919040\"]\n  35 [size=\"16211968\", alpha=\"0.18\", expect_size=\"8105984\"] \n  35 -> 38 [size =\"8105984\"]\n  35 -> 42 [size =\"8105984\"]\n  36 [size=\"89008128\", alpha=\"0.06\", expect_size=\"44504064\"] \n  36 -> 44 [size =\"44504064\"]\n  36 -> 45 [size =\"44504064\"]\n  37 [size=\"41388032\", alpha=\"0.17\", expect_size=\"20694016\"] \n  37 -> 45 [size =\"20694016\"]\n  38 [size=\"31537152\", alpha=\"0.10\", expect_size=\"15768576\"] \n  38 -> 43 [size =\"15768576\"]\n  39 [size=\"96905216\", alpha=\"0.05\", expect_size=\"48452608\"] \n  39 -> 43 [size =\"48452608\"]\n  39 -> 44 [size =\"48452608\"]\n  40 [size=\"63821824\", alpha=\"0.18\", expect_size=\"31910912\"] \n  40 -> 44 [size =\"31910912\"]\n  40 -> 45 [size =\"31910912\"]\n  41 [size=\"102238208\", alpha=\"0.01\", expect_size=\"51119104\"] \n  41 -> 44 [size =\"51119104\"]\n  42 [size=\"92991488\", alpha=\"0.10\", expect_size=\"46495744\"] \n  42 -> 45 [size =\"46495744\"]\n  43 [size=\"67186688\", alpha=\"0.07\", expect_size=\"33593344\"] \n  44 [size=\"45019136\", alpha=\"0.00\", expect_size=\"22509568\"] \n  45 [size=\"94623744\", alpha=\"0.02\", expect_size=\"47311872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37468160\", alpha=\"0.03\", expect_size=\"14987264\"] \n  1 -> 3 [size =\"14987264\"]\n  1 -> 4 [size =\"14987264\"]\n  1 -> 5 [size =\"14987264\"]\n  2 [size=\"47311360\", alpha=\"0.09\", expect_size=\"18924544\"] \n  3 [size=\"26275840\", alpha=\"0.04\", expect_size=\"10510336\"] \n  3 -> 7 [size =\"10510336\"]\n  4 [size=\"23083520\", alpha=\"0.16\", expect_size=\"9233408\"] \n  4 -> 6 [size =\"9233408\"]\n  4 -> 8 [size =\"9233408\"]\n  5 [size=\"64499200\", alpha=\"0.12\", expect_size=\"25799680\"] \n  5 -> 7 [size =\"25799680\"]\n  6 [size=\"40913920\", alpha=\"0.17\", expect_size=\"16365568\"] \n  6 -> 9 [size =\"16365568\"]\n  6 -> 10 [size =\"16365568\"]\n  6 -> 11 [size =\"16365568\"]\n  7 [size=\"113704960\", alpha=\"0.09\", expect_size=\"45481984\"] \n  8 [size=\"45777920\", alpha=\"0.15\", expect_size=\"18311168\"] \n  8 -> 11 [size =\"18311168\"]\n  9 [size=\"38016000\", alpha=\"0.19\", expect_size=\"15206400\"] \n  10 [size=\"75335680\", alpha=\"0.14\", expect_size=\"30134272\"] \n  11 [size=\"85621760\", alpha=\"0.02\", expect_size=\"34248704\"] \n  11 -> 12 [size =\"34248704\"]\n  11 -> 13 [size =\"34248704\"]\n  12 [size=\"102233600\", alpha=\"0.15\", expect_size=\"40893440\"] \n  12 -> 14 [size =\"40893440\"]\n  12 -> 15 [size =\"40893440\"]\n  13 [size=\"36229120\", alpha=\"0.07\", expect_size=\"14491648\"] \n  14 [size=\"61836800\", alpha=\"0.07\", expect_size=\"24734720\"] \n  15 [size=\"39249920\", alpha=\"0.19\", expect_size=\"15699968\"] \n  15 -> 16 [size =\"15699968\"]\n  15 -> 17 [size =\"15699968\"]\n  15 -> 18 [size =\"15699968\"]\n  16 [size=\"112186880\", alpha=\"0.11\", expect_size=\"44874752\"] \n  16 -> 19 [size =\"44874752\"]\n  16 -> 20 [size =\"44874752\"]\n  17 [size=\"95091200\", alpha=\"0.04\", expect_size=\"38036480\"] \n  18 [size=\"31488000\", alpha=\"0.19\", expect_size=\"12595200\"] \n  19 [size=\"118144000\", alpha=\"0.03\", expect_size=\"47257600\"] \n  19 -> 21 [size =\"47257600\"]\n  20 [size=\"109788160\", alpha=\"0.05\", expect_size=\"43915264\"] \n  20 -> 22 [size =\"43915264\"]\n  20 -> 23 [size =\"43915264\"]\n  21 [size=\"75822080\", alpha=\"0.10\", expect_size=\"30328832\"] \n  22 [size=\"87936000\", alpha=\"0.02\", expect_size=\"35174400\"] \n  23 [size=\"60922880\", alpha=\"0.16\", expect_size=\"24369152\"] \n  23 -> 24 [size =\"24369152\"]\n  23 -> 25 [size =\"24369152\"]\n  24 [size=\"102888960\", alpha=\"0.11\", expect_size=\"41155584\"] \n  24 -> 26 [size =\"41155584\"]\n  25 [size=\"28244480\", alpha=\"0.15\", expect_size=\"11297792\"] \n  25 -> 27 [size =\"11297792\"]\n  26 [size=\"24148480\", alpha=\"0.04\", expect_size=\"9659392\"] \n  26 -> 28 [size =\"9659392\"]\n  26 -> 29 [size =\"9659392\"]\n  27 [size=\"91320320\", alpha=\"0.10\", expect_size=\"36528128\"] \n  28 [size=\"114485760\", alpha=\"0.01\", expect_size=\"45794304\"] \n  28 -> 30 [size =\"45794304\"]\n  28 -> 31 [size =\"45794304\"]\n  28 -> 32 [size =\"45794304\"]\n  29 [size=\"106214400\", alpha=\"0.17\", expect_size=\"42485760\"] \n  30 [size=\"123397120\", alpha=\"0.03\", expect_size=\"49358848\"] \n  31 [size=\"32053760\", alpha=\"0.02\", expect_size=\"12821504\"] \n  31 -> 33 [size =\"12821504\"]\n  31 -> 34 [size =\"12821504\"]\n  32 [size=\"92480000\", alpha=\"0.16\", expect_size=\"36992000\"] \n  32 -> 34 [size =\"36992000\"]\n  33 [size=\"102947840\", alpha=\"0.13\", expect_size=\"41179136\"] \n  33 -> 35 [size =\"41179136\"]\n  34 [size=\"76631040\", alpha=\"0.19\", expect_size=\"30652416\"] \n  34 -> 36 [size =\"30652416\"]\n  35 [size=\"23500800\", alpha=\"0.09\", expect_size=\"9400320\"] \n  36 [size=\"112921600\", alpha=\"0.16\", expect_size=\"45168640\"] \n  36 -> 37 [size =\"45168640\"]\n  36 -> 38 [size =\"45168640\"]\n  37 [size=\"18803200\", alpha=\"0.17\", expect_size=\"7521280\"] \n  37 -> 39 [size =\"7521280\"]\n  37 -> 40 [size =\"7521280\"]\n  38 [size=\"77675520\", alpha=\"0.01\", expect_size=\"31070208\"] \n  38 -> 41 [size =\"31070208\"]\n  39 [size=\"86279680\", alpha=\"0.03\", expect_size=\"34511872\"] \n  39 -> 43 [size =\"34511872\"]\n  39 -> 44 [size =\"34511872\"]\n  40 [size=\"69527040\", alpha=\"0.02\", expect_size=\"27810816\"] \n  41 [size=\"89646080\", alpha=\"0.11\", expect_size=\"35858432\"] \n  41 -> 42 [size =\"35858432\"]\n  42 [size=\"101189120\", alpha=\"0.12\", expect_size=\"40475648\"] \n  42 -> 45 [size =\"40475648\"]\n  43 [size=\"75317760\", alpha=\"0.02\", expect_size=\"30127104\"] \n  44 [size=\"35159040\", alpha=\"0.07\", expect_size=\"14063616\"] \n  45 [size=\"29437440\", alpha=\"0.14\", expect_size=\"11774976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27471872\", alpha=\"0.12\", expect_size=\"13735936\"] \n  1 -> 9 [size =\"13735936\"]\n  1 -> 10 [size =\"13735936\"]\n  1 -> 12 [size =\"13735936\"]\n  1 -> 13 [size =\"13735936\"]\n  1 -> 14 [size =\"13735936\"]\n  1 -> 16 [size =\"13735936\"]\n  1 -> 18 [size =\"13735936\"]\n  2 [size=\"31105024\", alpha=\"0.03\", expect_size=\"15552512\"] \n  2 -> 9 [size =\"15552512\"]\n  2 -> 10 [size =\"15552512\"]\n  2 -> 13 [size =\"15552512\"]\n  2 -> 14 [size =\"15552512\"]\n  2 -> 16 [size =\"15552512\"]\n  2 -> 16 [size =\"15552512\"]\n  2 -> 19 [size =\"15552512\"]\n  3 [size=\"67061760\", alpha=\"0.02\", expect_size=\"33530880\"] \n  3 -> 8 [size =\"33530880\"]\n  3 -> 9 [size =\"33530880\"]\n  3 -> 10 [size =\"33530880\"]\n  3 -> 11 [size =\"33530880\"]\n  3 -> 13 [size =\"33530880\"]\n  3 -> 14 [size =\"33530880\"]\n  3 -> 15 [size =\"33530880\"]\n  3 -> 16 [size =\"33530880\"]\n  3 -> 19 [size =\"33530880\"]\n  4 [size=\"27469824\", alpha=\"0.15\", expect_size=\"13734912\"] \n  4 -> 8 [size =\"13734912\"]\n  4 -> 9 [size =\"13734912\"]\n  4 -> 14 [size =\"13734912\"]\n  4 -> 15 [size =\"13734912\"]\n  4 -> 16 [size =\"13734912\"]\n  4 -> 19 [size =\"13734912\"]\n  5 [size=\"87293952\", alpha=\"0.01\", expect_size=\"43646976\"] \n  5 -> 8 [size =\"43646976\"]\n  5 -> 10 [size =\"43646976\"]\n  5 -> 13 [size =\"43646976\"]\n  5 -> 14 [size =\"43646976\"]\n  5 -> 15 [size =\"43646976\"]\n  5 -> 17 [size =\"43646976\"]\n  5 -> 19 [size =\"43646976\"]\n  6 [size=\"14080000\", alpha=\"0.14\", expect_size=\"7040000\"] \n  6 -> 8 [size =\"7040000\"]\n  6 -> 12 [size =\"7040000\"]\n  6 -> 13 [size =\"7040000\"]\n  6 -> 14 [size =\"7040000\"]\n  6 -> 15 [size =\"7040000\"]\n  6 -> 19 [size =\"7040000\"]\n  6 -> 19 [size =\"7040000\"]\n  7 [size=\"96714752\", alpha=\"0.02\", expect_size=\"48357376\"] \n  7 -> 9 [size =\"48357376\"]\n  7 -> 10 [size =\"48357376\"]\n  7 -> 12 [size =\"48357376\"]\n  7 -> 13 [size =\"48357376\"]\n  7 -> 19 [size =\"48357376\"]\n  8 [size=\"58415104\", alpha=\"0.16\", expect_size=\"29207552\"] \n  8 -> 20 [size =\"29207552\"]\n  8 -> 27 [size =\"29207552\"]\n  8 -> 29 [size =\"29207552\"]\n  9 [size=\"71200768\", alpha=\"0.17\", expect_size=\"35600384\"] \n  9 -> 25 [size =\"35600384\"]\n  9 -> 29 [size =\"35600384\"]\n  9 -> 29 [size =\"35600384\"]\n  10 [size=\"15845376\", alpha=\"0.06\", expect_size=\"7922688\"] \n  10 -> 20 [size =\"7922688\"]\n  10 -> 23 [size =\"7922688\"]\n  10 -> 29 [size =\"7922688\"]\n  11 [size=\"51251200\", alpha=\"0.13\", expect_size=\"25625600\"] \n  11 -> 20 [size =\"25625600\"]\n  11 -> 21 [size =\"25625600\"]\n  11 -> 23 [size =\"25625600\"]\n  11 -> 24 [size =\"25625600\"]\n  11 -> 28 [size =\"25625600\"]\n  12 [size=\"14831616\", alpha=\"0.15\", expect_size=\"7415808\"] \n  12 -> 20 [size =\"7415808\"]\n  12 -> 21 [size =\"7415808\"]\n  12 -> 24 [size =\"7415808\"]\n  12 -> 24 [size =\"7415808\"]\n  12 -> 25 [size =\"7415808\"]\n  12 -> 28 [size =\"7415808\"]\n  12 -> 29 [size =\"7415808\"]\n  12 -> 31 [size =\"7415808\"]\n  13 [size=\"26828800\", alpha=\"0.09\", expect_size=\"13414400\"] \n  13 -> 20 [size =\"13414400\"]\n  13 -> 25 [size =\"13414400\"]\n  13 -> 26 [size =\"13414400\"]\n  13 -> 28 [size =\"13414400\"]\n  13 -> 29 [size =\"13414400\"]\n  14 [size=\"35131392\", alpha=\"0.14\", expect_size=\"17565696\"] \n  14 -> 20 [size =\"17565696\"]\n  14 -> 22 [size =\"17565696\"]\n  14 -> 28 [size =\"17565696\"]\n  15 [size=\"104046592\", alpha=\"0.14\", expect_size=\"52023296\"] \n  15 -> 20 [size =\"52023296\"]\n  15 -> 23 [size =\"52023296\"]\n  15 -> 25 [size =\"52023296\"]\n  15 -> 28 [size =\"52023296\"]\n  16 [size=\"12863488\", alpha=\"0.09\", expect_size=\"6431744\"] \n  16 -> 29 [size =\"6431744\"]\n  17 [size=\"78948352\", alpha=\"0.17\", expect_size=\"39474176\"] \n  17 -> 20 [size =\"39474176\"]\n  17 -> 25 [size =\"39474176\"]\n  17 -> 29 [size =\"39474176\"]\n  17 -> 30 [size =\"39474176\"]\n  18 [size=\"86136832\", alpha=\"0.19\", expect_size=\"43068416\"] \n  18 -> 20 [size =\"43068416\"]\n  18 -> 21 [size =\"43068416\"]\n  18 -> 25 [size =\"43068416\"]\n  18 -> 29 [size =\"43068416\"]\n  18 -> 30 [size =\"43068416\"]\n  19 [size=\"65103872\", alpha=\"0.10\", expect_size=\"32551936\"] \n  19 -> 20 [size =\"32551936\"]\n  19 -> 28 [size =\"32551936\"]\n  19 -> 29 [size =\"32551936\"]\n  19 -> 29 [size =\"32551936\"]\n  19 -> 31 [size =\"32551936\"]\n  20 [size=\"50647040\", alpha=\"0.10\", expect_size=\"25323520\"] \n  20 -> 34 [size =\"25323520\"]\n  20 -> 35 [size =\"25323520\"]\n  20 -> 36 [size =\"25323520\"]\n  20 -> 37 [size =\"25323520\"]\n  20 -> 39 [size =\"25323520\"]\n  20 -> 43 [size =\"25323520\"]\n  21 [size=\"77953024\", alpha=\"0.13\", expect_size=\"38976512\"] \n  21 -> 32 [size =\"38976512\"]\n  21 -> 37 [size =\"38976512\"]\n  21 -> 39 [size =\"38976512\"]\n  21 -> 41 [size =\"38976512\"]\n  21 -> 43 [size =\"38976512\"]\n  21 -> 43 [size =\"38976512\"]\n  22 [size=\"43141120\", alpha=\"0.20\", expect_size=\"21570560\"] \n  22 -> 32 [size =\"21570560\"]\n  22 -> 36 [size =\"21570560\"]\n  22 -> 37 [size =\"21570560\"]\n  22 -> 38 [size =\"21570560\"]\n  22 -> 39 [size =\"21570560\"]\n  22 -> 41 [size =\"21570560\"]\n  22 -> 44 [size =\"21570560\"]\n  23 [size=\"17459200\", alpha=\"0.19\", expect_size=\"8729600\"] \n  23 -> 32 [size =\"8729600\"]\n  23 -> 37 [size =\"8729600\"]\n  23 -> 38 [size =\"8729600\"]\n  23 -> 39 [size =\"8729600\"]\n  23 -> 39 [size =\"8729600\"]\n  23 -> 41 [size =\"8729600\"]\n  23 -> 44 [size =\"8729600\"]\n  24 [size=\"61677568\", alpha=\"0.02\", expect_size=\"30838784\"] \n  24 -> 32 [size =\"30838784\"]\n  24 -> 36 [size =\"30838784\"]\n  24 -> 37 [size =\"30838784\"]\n  24 -> 39 [size =\"30838784\"]\n  24 -> 41 [size =\"30838784\"]\n  24 -> 43 [size =\"30838784\"]\n  24 -> 44 [size =\"30838784\"]\n  25 [size=\"34193408\", alpha=\"0.01\", expect_size=\"17096704\"] \n  25 -> 32 [size =\"17096704\"]\n  25 -> 33 [size =\"17096704\"]\n  25 -> 34 [size =\"17096704\"]\n  25 -> 35 [size =\"17096704\"]\n  25 -> 36 [size =\"17096704\"]\n  25 -> 39 [size =\"17096704\"]\n  25 -> 40 [size =\"17096704\"]\n  25 -> 41 [size =\"17096704\"]\n  25 -> 43 [size =\"17096704\"]\n  25 -> 44 [size =\"17096704\"]\n  26 [size=\"99106816\", alpha=\"0.01\", expect_size=\"49553408\"] \n  26 -> 35 [size =\"49553408\"]\n  26 -> 36 [size =\"49553408\"]\n  26 -> 38 [size =\"49553408\"]\n  26 -> 43 [size =\"49553408\"]\n  26 -> 44 [size =\"49553408\"]\n  27 [size=\"46598144\", alpha=\"0.20\", expect_size=\"23299072\"] \n  27 -> 32 [size =\"23299072\"]\n  27 -> 33 [size =\"23299072\"]\n  27 -> 35 [size =\"23299072\"]\n  27 -> 36 [size =\"23299072\"]\n  27 -> 37 [size =\"23299072\"]\n  27 -> 44 [size =\"23299072\"]\n  28 [size=\"32520192\", alpha=\"0.08\", expect_size=\"16260096\"] \n  28 -> 32 [size =\"16260096\"]\n  28 -> 33 [size =\"16260096\"]\n  28 -> 35 [size =\"16260096\"]\n  28 -> 37 [size =\"16260096\"]\n  28 -> 37 [size =\"16260096\"]\n  28 -> 38 [size =\"16260096\"]\n  28 -> 39 [size =\"16260096\"]\n  28 -> 40 [size =\"16260096\"]\n  28 -> 43 [size =\"16260096\"]\n  28 -> 44 [size =\"16260096\"]\n  29 [size=\"29470720\", alpha=\"0.09\", expect_size=\"14735360\"] \n  29 -> 32 [size =\"14735360\"]\n  29 -> 35 [size =\"14735360\"]\n  29 -> 36 [size =\"14735360\"]\n  29 -> 37 [size =\"14735360\"]\n  29 -> 38 [size =\"14735360\"]\n  29 -> 39 [size =\"14735360\"]\n  29 -> 39 [size =\"14735360\"]\n  29 -> 43 [size =\"14735360\"]\n  29 -> 44 [size =\"14735360\"]\n  30 [size=\"78389248\", alpha=\"0.12\", expect_size=\"39194624\"] \n  30 -> 32 [size =\"39194624\"]\n  30 -> 34 [size =\"39194624\"]\n  30 -> 36 [size =\"39194624\"]\n  30 -> 37 [size =\"39194624\"]\n  30 -> 41 [size =\"39194624\"]\n  30 -> 43 [size =\"39194624\"]\n  30 -> 44 [size =\"39194624\"]\n  31 [size=\"29839360\", alpha=\"0.03\", expect_size=\"14919680\"] \n  31 -> 32 [size =\"14919680\"]\n  31 -> 34 [size =\"14919680\"]\n  31 -> 35 [size =\"14919680\"]\n  31 -> 38 [size =\"14919680\"]\n  31 -> 39 [size =\"14919680\"]\n  31 -> 40 [size =\"14919680\"]\n  31 -> 41 [size =\"14919680\"]\n  31 -> 42 [size =\"14919680\"]\n  31 -> 43 [size =\"14919680\"]\n  31 -> 44 [size =\"14919680\"]\n  32 [size=\"89546752\", alpha=\"0.14\", expect_size=\"44773376\"] \n  33 [size=\"89389056\", alpha=\"0.10\", expect_size=\"44694528\"] \n  34 [size=\"85946368\", alpha=\"0.10\", expect_size=\"42973184\"] \n  35 [size=\"96198656\", alpha=\"0.11\", expect_size=\"48099328\"] \n  36 [size=\"102584320\", alpha=\"0.12\", expect_size=\"51292160\"] \n  37 [size=\"14329856\", alpha=\"0.07\", expect_size=\"7164928\"] \n  38 [size=\"12034048\", alpha=\"0.19\", expect_size=\"6017024\"] \n  39 [size=\"49258496\", alpha=\"0.02\", expect_size=\"24629248\"] \n  39 -> 45 [size =\"24629248\"]\n  40 [size=\"92346368\", alpha=\"0.14\", expect_size=\"46173184\"] \n  41 [size=\"52287488\", alpha=\"0.19\", expect_size=\"26143744\"] \n  42 [size=\"64221184\", alpha=\"0.12\", expect_size=\"32110592\"] \n  42 -> 45 [size =\"32110592\"]\n  43 [size=\"38123520\", alpha=\"0.07\", expect_size=\"19061760\"] \n  44 [size=\"84707328\", alpha=\"0.12\", expect_size=\"42353664\"] \n  45 [size=\"39878656\", alpha=\"0.02\", expect_size=\"19939328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125412693\", alpha=\"0.02\", expect_size=\"37623808\"] \n  1 -> 4 [size =\"37623808\"]\n  2 [size=\"42666667\", alpha=\"0.11\", expect_size=\"12800000\"] \n  2 -> 4 [size =\"12800000\"]\n  3 [size=\"164147200\", alpha=\"0.19\", expect_size=\"49244160\"] \n  3 -> 5 [size =\"49244160\"]\n  4 [size=\"61078187\", alpha=\"0.15\", expect_size=\"18323456\"] \n  5 [size=\"98962773\", alpha=\"0.17\", expect_size=\"29688832\"] \n  5 -> 6 [size =\"29688832\"]\n  5 -> 7 [size =\"29688832\"]\n  6 [size=\"137458347\", alpha=\"0.18\", expect_size=\"41237504\"] \n  7 [size=\"169847467\", alpha=\"0.13\", expect_size=\"50954240\"] \n  7 -> 8 [size =\"50954240\"]\n  7 -> 9 [size =\"50954240\"]\n  8 [size=\"114517333\", alpha=\"0.14\", expect_size=\"34355200\"] \n  8 -> 11 [size =\"34355200\"]\n  9 [size=\"145035947\", alpha=\"0.08\", expect_size=\"43510784\"] \n  9 -> 10 [size =\"43510784\"]\n  10 [size=\"160208213\", alpha=\"0.05\", expect_size=\"48062464\"] \n  10 -> 12 [size =\"48062464\"]\n  11 [size=\"59706027\", alpha=\"0.02\", expect_size=\"17911808\"] \n  11 -> 13 [size =\"17911808\"]\n  12 [size=\"77015040\", alpha=\"0.10\", expect_size=\"23104512\"] \n  12 -> 14 [size =\"23104512\"]\n  12 -> 15 [size =\"23104512\"]\n  13 [size=\"161901227\", alpha=\"0.20\", expect_size=\"48570368\"] \n  14 [size=\"156856320\", alpha=\"0.16\", expect_size=\"47056896\"] \n  15 [size=\"118367573\", alpha=\"0.12\", expect_size=\"35510272\"] \n  15 -> 16 [size =\"35510272\"]\n  15 -> 17 [size =\"35510272\"]\n  16 [size=\"93061120\", alpha=\"0.11\", expect_size=\"27918336\"] \n  16 -> 18 [size =\"27918336\"]\n  17 [size=\"77987840\", alpha=\"0.16\", expect_size=\"23396352\"] \n  17 -> 19 [size =\"23396352\"]\n  18 [size=\"26357760\", alpha=\"0.10\", expect_size=\"7907328\"] \n  18 -> 21 [size =\"7907328\"]\n  19 [size=\"139096747\", alpha=\"0.07\", expect_size=\"41729024\"] \n  19 -> 20 [size =\"41729024\"]\n  19 -> 22 [size =\"41729024\"]\n  20 [size=\"41311573\", alpha=\"0.11\", expect_size=\"12393472\"] \n  20 -> 23 [size =\"12393472\"]\n  20 -> 24 [size =\"12393472\"]\n  21 [size=\"80059733\", alpha=\"0.09\", expect_size=\"24017920\"] \n  21 -> 25 [size =\"24017920\"]\n  22 [size=\"97935360\", alpha=\"0.09\", expect_size=\"29380608\"] \n  22 -> 25 [size =\"29380608\"]\n  23 [size=\"174021973\", alpha=\"0.09\", expect_size=\"52206592\"] \n  23 -> 26 [size =\"52206592\"]\n  23 -> 27 [size =\"52206592\"]\n  24 [size=\"173404160\", alpha=\"0.14\", expect_size=\"52021248\"] \n  24 -> 26 [size =\"52021248\"]\n  25 [size=\"139448320\", alpha=\"0.10\", expect_size=\"41834496\"] \n  25 -> 27 [size =\"41834496\"]\n  26 [size=\"75735040\", alpha=\"0.00\", expect_size=\"22720512\"] \n  26 -> 28 [size =\"22720512\"]\n  26 -> 29 [size =\"22720512\"]\n  27 [size=\"158877013\", alpha=\"0.11\", expect_size=\"47663104\"] \n  28 [size=\"126361600\", alpha=\"0.13\", expect_size=\"37908480\"] \n  29 [size=\"45059413\", alpha=\"0.12\", expect_size=\"13517824\"] \n  29 -> 30 [size =\"13517824\"]\n  29 -> 31 [size =\"13517824\"]\n  30 [size=\"98283520\", alpha=\"0.09\", expect_size=\"29485056\"] \n  30 -> 32 [size =\"29485056\"]\n  31 [size=\"25763840\", alpha=\"0.11\", expect_size=\"7729152\"] \n  31 -> 33 [size =\"7729152\"]\n  32 [size=\"92726613\", alpha=\"0.01\", expect_size=\"27817984\"] \n  32 -> 34 [size =\"27817984\"]\n  32 -> 35 [size =\"27817984\"]\n  32 -> 36 [size =\"27817984\"]\n  33 [size=\"167072427\", alpha=\"0.09\", expect_size=\"50121728\"] \n  34 [size=\"80902827\", alpha=\"0.15\", expect_size=\"24270848\"] \n  34 -> 38 [size =\"24270848\"]\n  35 [size=\"35109547\", alpha=\"0.13\", expect_size=\"10532864\"] \n  35 -> 37 [size =\"10532864\"]\n  36 [size=\"111185920\", alpha=\"0.02\", expect_size=\"33355776\"] \n  36 -> 37 [size =\"33355776\"]\n  37 [size=\"114537813\", alpha=\"0.18\", expect_size=\"34361344\"] \n  37 -> 39 [size =\"34361344\"]\n  38 [size=\"40256853\", alpha=\"0.15\", expect_size=\"12077056\"] \n  38 -> 40 [size =\"12077056\"]\n  39 [size=\"142670507\", alpha=\"0.07\", expect_size=\"42801152\"] \n  39 -> 41 [size =\"42801152\"]\n  40 [size=\"77482667\", alpha=\"0.03\", expect_size=\"23244800\"] \n  40 -> 42 [size =\"23244800\"]\n  40 -> 43 [size =\"23244800\"]\n  41 [size=\"144708267\", alpha=\"0.06\", expect_size=\"43412480\"] \n  41 -> 45 [size =\"43412480\"]\n  42 [size=\"72007680\", alpha=\"0.00\", expect_size=\"21602304\"] \n  43 [size=\"76206080\", alpha=\"0.14\", expect_size=\"22861824\"] \n  43 -> 44 [size =\"22861824\"]\n  44 [size=\"144445440\", alpha=\"0.08\", expect_size=\"43333632\"] \n  45 [size=\"101533013\", alpha=\"0.17\", expect_size=\"30459904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17125376\", alpha=\"0.17\", expect_size=\"8562688\"] \n  1 -> 2 [size =\"8562688\"]\n  2 [size=\"52766720\", alpha=\"0.00\", expect_size=\"26383360\"] \n  2 -> 3 [size =\"26383360\"]\n  3 [size=\"84453376\", alpha=\"0.11\", expect_size=\"42226688\"] \n  3 -> 4 [size =\"42226688\"]\n  4 [size=\"28610560\", alpha=\"0.11\", expect_size=\"14305280\"] \n  4 -> 5 [size =\"14305280\"]\n  5 [size=\"62509056\", alpha=\"0.04\", expect_size=\"31254528\"] \n  5 -> 6 [size =\"31254528\"]\n  6 [size=\"101541888\", alpha=\"0.08\", expect_size=\"50770944\"] \n  6 -> 7 [size =\"50770944\"]\n  7 [size=\"52701184\", alpha=\"0.05\", expect_size=\"26350592\"] \n  7 -> 8 [size =\"26350592\"]\n  8 [size=\"61898752\", alpha=\"0.19\", expect_size=\"30949376\"] \n  8 -> 9 [size =\"30949376\"]\n  9 [size=\"99272704\", alpha=\"0.01\", expect_size=\"49636352\"] \n  9 -> 10 [size =\"49636352\"]\n  10 [size=\"11157504\", alpha=\"0.11\", expect_size=\"5578752\"] \n  10 -> 11 [size =\"5578752\"]\n  11 [size=\"93030400\", alpha=\"0.12\", expect_size=\"46515200\"] \n  11 -> 12 [size =\"46515200\"]\n  12 [size=\"77133824\", alpha=\"0.08\", expect_size=\"38566912\"] \n  12 -> 13 [size =\"38566912\"]\n  13 [size=\"79157248\", alpha=\"0.14\", expect_size=\"39578624\"] \n  13 -> 14 [size =\"39578624\"]\n  14 [size=\"36048896\", alpha=\"0.17\", expect_size=\"18024448\"] \n  14 -> 15 [size =\"18024448\"]\n  15 [size=\"87828480\", alpha=\"0.17\", expect_size=\"43914240\"] \n  15 -> 16 [size =\"43914240\"]\n  16 [size=\"13279232\", alpha=\"0.19\", expect_size=\"6639616\"] \n  16 -> 17 [size =\"6639616\"]\n  17 [size=\"48848896\", alpha=\"0.13\", expect_size=\"24424448\"] \n  17 -> 18 [size =\"24424448\"]\n  18 [size=\"74268672\", alpha=\"0.02\", expect_size=\"37134336\"] \n  18 -> 19 [size =\"37134336\"]\n  19 [size=\"69621760\", alpha=\"0.14\", expect_size=\"34810880\"] \n  19 -> 20 [size =\"34810880\"]\n  20 [size=\"76341248\", alpha=\"0.15\", expect_size=\"38170624\"] \n  20 -> 21 [size =\"38170624\"]\n  21 [size=\"33099776\", alpha=\"0.17\", expect_size=\"16549888\"] \n  21 -> 22 [size =\"16549888\"]\n  22 [size=\"89356288\", alpha=\"0.08\", expect_size=\"44678144\"] \n  22 -> 23 [size =\"44678144\"]\n  23 [size=\"33533952\", alpha=\"0.14\", expect_size=\"16766976\"] \n  23 -> 24 [size =\"16766976\"]\n  24 [size=\"99672064\", alpha=\"0.05\", expect_size=\"49836032\"] \n  24 -> 25 [size =\"49836032\"]\n  25 [size=\"83396608\", alpha=\"0.06\", expect_size=\"41698304\"] \n  25 -> 26 [size =\"41698304\"]\n  26 [size=\"70529024\", alpha=\"0.07\", expect_size=\"35264512\"] \n  26 -> 27 [size =\"35264512\"]\n  27 [size=\"63645696\", alpha=\"0.17\", expect_size=\"31822848\"] \n  27 -> 28 [size =\"31822848\"]\n  28 [size=\"30355456\", alpha=\"0.17\", expect_size=\"15177728\"] \n  28 -> 29 [size =\"15177728\"]\n  29 [size=\"38881280\", alpha=\"0.17\", expect_size=\"19440640\"] \n  29 -> 30 [size =\"19440640\"]\n  30 [size=\"10610688\", alpha=\"0.16\", expect_size=\"5305344\"] \n  30 -> 31 [size =\"5305344\"]\n  31 [size=\"79415296\", alpha=\"0.13\", expect_size=\"39707648\"] \n  31 -> 32 [size =\"39707648\"]\n  32 [size=\"63188992\", alpha=\"0.04\", expect_size=\"31594496\"] \n  32 -> 33 [size =\"31594496\"]\n  33 [size=\"98584576\", alpha=\"0.10\", expect_size=\"49292288\"] \n  33 -> 34 [size =\"49292288\"]\n  34 [size=\"70832128\", alpha=\"0.01\", expect_size=\"35416064\"] \n  34 -> 35 [size =\"35416064\"]\n  35 [size=\"92426240\", alpha=\"0.09\", expect_size=\"46213120\"] \n  35 -> 36 [size =\"46213120\"]\n  36 [size=\"26650624\", alpha=\"0.17\", expect_size=\"13325312\"] \n  36 -> 37 [size =\"13325312\"]\n  37 [size=\"58935296\", alpha=\"0.13\", expect_size=\"29467648\"] \n  37 -> 38 [size =\"29467648\"]\n  38 [size=\"42749952\", alpha=\"0.03\", expect_size=\"21374976\"] \n  38 -> 39 [size =\"21374976\"]\n  39 [size=\"29509632\", alpha=\"0.06\", expect_size=\"14754816\"] \n  39 -> 40 [size =\"14754816\"]\n  40 [size=\"13633536\", alpha=\"0.02\", expect_size=\"6816768\"] \n  40 -> 41 [size =\"6816768\"]\n  41 [size=\"90161152\", alpha=\"0.03\", expect_size=\"45080576\"] \n  41 -> 42 [size =\"45080576\"]\n  42 [size=\"58525696\", alpha=\"0.01\", expect_size=\"29262848\"] \n  42 -> 43 [size =\"29262848\"]\n  43 [size=\"79747072\", alpha=\"0.03\", expect_size=\"39873536\"] \n  43 -> 44 [size =\"39873536\"]\n  44 [size=\"33753088\", alpha=\"0.05\", expect_size=\"16876544\"] \n  44 -> 45 [size =\"16876544\"]\n  45 [size=\"40482816\", alpha=\"0.02\", expect_size=\"20241408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40312320\", alpha=\"0.10\", expect_size=\"16124928\"] \n  1 -> 34 [size =\"16124928\"]\n  1 -> 37 [size =\"16124928\"]\n  1 -> 39 [size =\"16124928\"]\n  1 -> 40 [size =\"16124928\"]\n  1 -> 43 [size =\"16124928\"]\n  2 [size=\"13437440\", alpha=\"0.18\", expect_size=\"5374976\"] \n  2 -> 36 [size =\"5374976\"]\n  2 -> 40 [size =\"5374976\"]\n  2 -> 41 [size =\"5374976\"]\n  3 [size=\"77849600\", alpha=\"0.04\", expect_size=\"31139840\"] \n  3 -> 33 [size =\"31139840\"]\n  3 -> 34 [size =\"31139840\"]\n  3 -> 36 [size =\"31139840\"]\n  3 -> 41 [size =\"31139840\"]\n  3 -> 42 [size =\"31139840\"]\n  4 [size=\"80069120\", alpha=\"0.18\", expect_size=\"32027648\"] \n  4 -> 33 [size =\"32027648\"]\n  4 -> 38 [size =\"32027648\"]\n  4 -> 40 [size =\"32027648\"]\n  5 [size=\"86901760\", alpha=\"0.16\", expect_size=\"34760704\"] \n  5 -> 34 [size =\"34760704\"]\n  5 -> 40 [size =\"34760704\"]\n  5 -> 41 [size =\"34760704\"]\n  5 -> 42 [size =\"34760704\"]\n  6 [size=\"59642880\", alpha=\"0.10\", expect_size=\"23857152\"] \n  6 -> 33 [size =\"23857152\"]\n  6 -> 34 [size =\"23857152\"]\n  6 -> 36 [size =\"23857152\"]\n  6 -> 37 [size =\"23857152\"]\n  6 -> 40 [size =\"23857152\"]\n  6 -> 41 [size =\"23857152\"]\n  7 [size=\"127060480\", alpha=\"0.08\", expect_size=\"50824192\"] \n  7 -> 34 [size =\"50824192\"]\n  7 -> 36 [size =\"50824192\"]\n  7 -> 37 [size =\"50824192\"]\n  7 -> 38 [size =\"50824192\"]\n  7 -> 41 [size =\"50824192\"]\n  7 -> 43 [size =\"50824192\"]\n  8 [size=\"28748800\", alpha=\"0.09\", expect_size=\"11499520\"] \n  8 -> 33 [size =\"11499520\"]\n  8 -> 36 [size =\"11499520\"]\n  8 -> 38 [size =\"11499520\"]\n  8 -> 41 [size =\"11499520\"]\n  9 [size=\"43386880\", alpha=\"0.06\", expect_size=\"17354752\"] \n  9 -> 33 [size =\"17354752\"]\n  9 -> 38 [size =\"17354752\"]\n  9 -> 39 [size =\"17354752\"]\n  9 -> 41 [size =\"17354752\"]\n  9 -> 42 [size =\"17354752\"]\n  10 [size=\"73758720\", alpha=\"0.01\", expect_size=\"29503488\"] \n  10 -> 32 [size =\"29503488\"]\n  10 -> 34 [size =\"29503488\"]\n  10 -> 37 [size =\"29503488\"]\n  10 -> 39 [size =\"29503488\"]\n  10 -> 44 [size =\"29503488\"]\n  11 [size=\"60648960\", alpha=\"0.18\", expect_size=\"24259584\"] \n  11 -> 32 [size =\"24259584\"]\n  11 -> 37 [size =\"24259584\"]\n  11 -> 39 [size =\"24259584\"]\n  11 -> 40 [size =\"24259584\"]\n  11 -> 41 [size =\"24259584\"]\n  11 -> 42 [size =\"24259584\"]\n  12 [size=\"116759040\", alpha=\"0.08\", expect_size=\"46703616\"] \n  12 -> 34 [size =\"46703616\"]\n  12 -> 37 [size =\"46703616\"]\n  12 -> 40 [size =\"46703616\"]\n  12 -> 41 [size =\"46703616\"]\n  12 -> 42 [size =\"46703616\"]\n  13 [size=\"102574080\", alpha=\"0.00\", expect_size=\"41029632\"] \n  13 -> 33 [size =\"41029632\"]\n  13 -> 39 [size =\"41029632\"]\n  13 -> 40 [size =\"41029632\"]\n  13 -> 42 [size =\"41029632\"]\n  14 [size=\"123637760\", alpha=\"0.13\", expect_size=\"49455104\"] \n  14 -> 34 [size =\"49455104\"]\n  14 -> 38 [size =\"49455104\"]\n  14 -> 40 [size =\"49455104\"]\n  14 -> 42 [size =\"49455104\"]\n  15 [size=\"110919680\", alpha=\"0.13\", expect_size=\"44367872\"] \n  15 -> 32 [size =\"44367872\"]\n  15 -> 33 [size =\"44367872\"]\n  15 -> 35 [size =\"44367872\"]\n  15 -> 37 [size =\"44367872\"]\n  15 -> 40 [size =\"44367872\"]\n  15 -> 41 [size =\"44367872\"]\n  15 -> 42 [size =\"44367872\"]\n  15 -> 43 [size =\"44367872\"]\n  16 [size=\"88778240\", alpha=\"0.15\", expect_size=\"35511296\"] \n  16 -> 34 [size =\"35511296\"]\n  16 -> 37 [size =\"35511296\"]\n  16 -> 40 [size =\"35511296\"]\n  17 [size=\"29312000\", alpha=\"0.17\", expect_size=\"11724800\"] \n  17 -> 41 [size =\"11724800\"]\n  17 -> 42 [size =\"11724800\"]\n  18 [size=\"77286400\", alpha=\"0.13\", expect_size=\"30914560\"] \n  18 -> 38 [size =\"30914560\"]\n  18 -> 40 [size =\"30914560\"]\n  19 [size=\"129162240\", alpha=\"0.18\", expect_size=\"51664896\"] \n  19 -> 34 [size =\"51664896\"]\n  19 -> 35 [size =\"51664896\"]\n  19 -> 40 [size =\"51664896\"]\n  19 -> 43 [size =\"51664896\"]\n  20 [size=\"48709120\", alpha=\"0.13\", expect_size=\"19483648\"] \n  20 -> 32 [size =\"19483648\"]\n  20 -> 34 [size =\"19483648\"]\n  20 -> 36 [size =\"19483648\"]\n  20 -> 37 [size =\"19483648\"]\n  20 -> 39 [size =\"19483648\"]\n  20 -> 40 [size =\"19483648\"]\n  21 [size=\"52884480\", alpha=\"0.12\", expect_size=\"21153792\"] \n  21 -> 34 [size =\"21153792\"]\n  21 -> 34 [size =\"21153792\"]\n  21 -> 38 [size =\"21153792\"]\n  21 -> 39 [size =\"21153792\"]\n  21 -> 40 [size =\"21153792\"]\n  21 -> 43 [size =\"21153792\"]\n  22 [size=\"40578560\", alpha=\"0.12\", expect_size=\"16231424\"] \n  22 -> 33 [size =\"16231424\"]\n  22 -> 34 [size =\"16231424\"]\n  22 -> 38 [size =\"16231424\"]\n  22 -> 40 [size =\"16231424\"]\n  23 [size=\"87795200\", alpha=\"0.02\", expect_size=\"35118080\"] \n  23 -> 34 [size =\"35118080\"]\n  23 -> 37 [size =\"35118080\"]\n  23 -> 45 [size =\"35118080\"]\n  24 [size=\"87948800\", alpha=\"0.04\", expect_size=\"35179520\"] \n  24 -> 32 [size =\"35179520\"]\n  24 -> 37 [size =\"35179520\"]\n  24 -> 43 [size =\"35179520\"]\n  24 -> 45 [size =\"35179520\"]\n  25 [size=\"46141440\", alpha=\"0.18\", expect_size=\"18456576\"] \n  25 -> 37 [size =\"18456576\"]\n  25 -> 37 [size =\"18456576\"]\n  25 -> 38 [size =\"18456576\"]\n  26 [size=\"121500160\", alpha=\"0.00\", expect_size=\"48600064\"] \n  26 -> 42 [size =\"48600064\"]\n  26 -> 45 [size =\"48600064\"]\n  27 [size=\"94604800\", alpha=\"0.02\", expect_size=\"37841920\"] \n  27 -> 35 [size =\"37841920\"]\n  27 -> 39 [size =\"37841920\"]\n  27 -> 41 [size =\"37841920\"]\n  27 -> 42 [size =\"37841920\"]\n  27 -> 44 [size =\"37841920\"]\n  28 [size=\"76605440\", alpha=\"0.06\", expect_size=\"30642176\"] \n  28 -> 33 [size =\"30642176\"]\n  28 -> 34 [size =\"30642176\"]\n  28 -> 40 [size =\"30642176\"]\n  28 -> 42 [size =\"30642176\"]\n  29 [size=\"32455680\", alpha=\"0.15\", expect_size=\"12982272\"] \n  29 -> 35 [size =\"12982272\"]\n  29 -> 37 [size =\"12982272\"]\n  29 -> 39 [size =\"12982272\"]\n  30 [size=\"21626880\", alpha=\"0.15\", expect_size=\"8650752\"] \n  30 -> 37 [size =\"8650752\"]\n  30 -> 39 [size =\"8650752\"]\n  30 -> 40 [size =\"8650752\"]\n  30 -> 42 [size =\"8650752\"]\n  31 [size=\"97879040\", alpha=\"0.02\", expect_size=\"39151616\"] \n  31 -> 32 [size =\"39151616\"]\n  31 -> 34 [size =\"39151616\"]\n  31 -> 35 [size =\"39151616\"]\n  31 -> 37 [size =\"39151616\"]\n  31 -> 39 [size =\"39151616\"]\n  31 -> 42 [size =\"39151616\"]\n  31 -> 43 [size =\"39151616\"]\n  31 -> 45 [size =\"39151616\"]\n  32 [size=\"52487680\", alpha=\"0.08\", expect_size=\"20995072\"] \n  33 [size=\"121715200\", alpha=\"0.08\", expect_size=\"48686080\"] \n  34 [size=\"16407040\", alpha=\"0.07\", expect_size=\"6562816\"] \n  35 [size=\"39457280\", alpha=\"0.03\", expect_size=\"15782912\"] \n  36 [size=\"28736000\", alpha=\"0.11\", expect_size=\"11494400\"] \n  37 [size=\"30776320\", alpha=\"0.02\", expect_size=\"12310528\"] \n  38 [size=\"41571840\", alpha=\"0.05\", expect_size=\"16628736\"] \n  39 [size=\"76764160\", alpha=\"0.06\", expect_size=\"30705664\"] \n  40 [size=\"48670720\", alpha=\"0.14\", expect_size=\"19468288\"] \n  41 [size=\"17945600\", alpha=\"0.09\", expect_size=\"7178240\"] \n  42 [size=\"32130560\", alpha=\"0.08\", expect_size=\"12852224\"] \n  43 [size=\"76917760\", alpha=\"0.00\", expect_size=\"30767104\"] \n  44 [size=\"123806720\", alpha=\"0.05\", expect_size=\"49522688\"] \n  45 [size=\"47406080\", alpha=\"0.15\", expect_size=\"18962432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73234432\", alpha=\"0.04\", expect_size=\"36617216\"] \n  1 -> 8 [size =\"36617216\"]\n  1 -> 9 [size =\"36617216\"]\n  1 -> 13 [size =\"36617216\"]\n  2 [size=\"95195136\", alpha=\"0.10\", expect_size=\"47597568\"] \n  2 -> 11 [size =\"47597568\"]\n  2 -> 12 [size =\"47597568\"]\n  2 -> 13 [size =\"47597568\"]\n  3 [size=\"21456896\", alpha=\"0.04\", expect_size=\"10728448\"] \n  3 -> 8 [size =\"10728448\"]\n  3 -> 11 [size =\"10728448\"]\n  3 -> 12 [size =\"10728448\"]\n  3 -> 13 [size =\"10728448\"]\n  4 [size=\"51255296\", alpha=\"0.17\", expect_size=\"25627648\"] \n  4 -> 8 [size =\"25627648\"]\n  4 -> 9 [size =\"25627648\"]\n  4 -> 11 [size =\"25627648\"]\n  4 -> 12 [size =\"25627648\"]\n  5 [size=\"69136384\", alpha=\"0.06\", expect_size=\"34568192\"] \n  5 -> 11 [size =\"34568192\"]\n  6 [size=\"94259200\", alpha=\"0.08\", expect_size=\"47129600\"] \n  6 -> 9 [size =\"47129600\"]\n  6 -> 13 [size =\"47129600\"]\n  7 [size=\"28557312\", alpha=\"0.10\", expect_size=\"14278656\"] \n  7 -> 8 [size =\"14278656\"]\n  7 -> 10 [size =\"14278656\"]\n  7 -> 13 [size =\"14278656\"]\n  8 [size=\"72765440\", alpha=\"0.09\", expect_size=\"36382720\"] \n  8 -> 15 [size =\"36382720\"]\n  8 -> 18 [size =\"36382720\"]\n  9 [size=\"46178304\", alpha=\"0.19\", expect_size=\"23089152\"] \n  9 -> 18 [size =\"23089152\"]\n  10 [size=\"78974976\", alpha=\"0.14\", expect_size=\"39487488\"] \n  10 -> 14 [size =\"39487488\"]\n  10 -> 17 [size =\"39487488\"]\n  10 -> 18 [size =\"39487488\"]\n  11 [size=\"29351936\", alpha=\"0.19\", expect_size=\"14675968\"] \n  11 -> 15 [size =\"14675968\"]\n  12 [size=\"48470016\", alpha=\"0.08\", expect_size=\"24235008\"] \n  12 -> 14 [size =\"24235008\"]\n  12 -> 16 [size =\"24235008\"]\n  12 -> 17 [size =\"24235008\"]\n  13 [size=\"95807488\", alpha=\"0.17\", expect_size=\"47903744\"] \n  13 -> 15 [size =\"47903744\"]\n  13 -> 18 [size =\"47903744\"]\n  14 [size=\"18640896\", alpha=\"0.07\", expect_size=\"9320448\"] \n  15 [size=\"96731136\", alpha=\"0.11\", expect_size=\"48365568\"] \n  15 -> 19 [size =\"48365568\"]\n  15 -> 21 [size =\"48365568\"]\n  15 -> 22 [size =\"48365568\"]\n  16 [size=\"32696320\", alpha=\"0.06\", expect_size=\"16348160\"] \n  16 -> 19 [size =\"16348160\"]\n  16 -> 20 [size =\"16348160\"]\n  16 -> 23 [size =\"16348160\"]\n  16 -> 24 [size =\"16348160\"]\n  17 [size=\"71299072\", alpha=\"0.10\", expect_size=\"35649536\"] \n  17 -> 21 [size =\"35649536\"]\n  17 -> 24 [size =\"35649536\"]\n  18 [size=\"25569280\", alpha=\"0.09\", expect_size=\"12784640\"] \n  18 -> 20 [size =\"12784640\"]\n  18 -> 21 [size =\"12784640\"]\n  18 -> 23 [size =\"12784640\"]\n  19 [size=\"68192256\", alpha=\"0.16\", expect_size=\"34096128\"] \n  19 -> 27 [size =\"34096128\"]\n  19 -> 27 [size =\"34096128\"]\n  19 -> 28 [size =\"34096128\"]\n  20 [size=\"63905792\", alpha=\"0.01\", expect_size=\"31952896\"] \n  20 -> 26 [size =\"31952896\"]\n  20 -> 28 [size =\"31952896\"]\n  20 -> 29 [size =\"31952896\"]\n  21 [size=\"34097152\", alpha=\"0.00\", expect_size=\"17048576\"] \n  21 -> 25 [size =\"17048576\"]\n  21 -> 29 [size =\"17048576\"]\n  22 [size=\"30140416\", alpha=\"0.17\", expect_size=\"15070208\"] \n  22 -> 26 [size =\"15070208\"]\n  22 -> 29 [size =\"15070208\"]\n  23 [size=\"68771840\", alpha=\"0.16\", expect_size=\"34385920\"] \n  23 -> 26 [size =\"34385920\"]\n  23 -> 27 [size =\"34385920\"]\n  23 -> 28 [size =\"34385920\"]\n  23 -> 29 [size =\"34385920\"]\n  24 [size=\"52465664\", alpha=\"0.04\", expect_size=\"26232832\"] \n  24 -> 26 [size =\"26232832\"]\n  24 -> 27 [size =\"26232832\"]\n  24 -> 28 [size =\"26232832\"]\n  25 [size=\"85825536\", alpha=\"0.04\", expect_size=\"42912768\"] \n  25 -> 33 [size =\"42912768\"]\n  25 -> 36 [size =\"42912768\"]\n  26 [size=\"42942464\", alpha=\"0.02\", expect_size=\"21471232\"] \n  26 -> 30 [size =\"21471232\"]\n  26 -> 33 [size =\"21471232\"]\n  26 -> 35 [size =\"21471232\"]\n  26 -> 36 [size =\"21471232\"]\n  27 [size=\"70625280\", alpha=\"0.03\", expect_size=\"35312640\"] \n  27 -> 33 [size =\"35312640\"]\n  27 -> 35 [size =\"35312640\"]\n  27 -> 36 [size =\"35312640\"]\n  28 [size=\"21493760\", alpha=\"0.18\", expect_size=\"10746880\"] \n  28 -> 30 [size =\"10746880\"]\n  28 -> 31 [size =\"10746880\"]\n  28 -> 32 [size =\"10746880\"]\n  28 -> 34 [size =\"10746880\"]\n  29 [size=\"65378304\", alpha=\"0.01\", expect_size=\"32689152\"] \n  29 -> 30 [size =\"32689152\"]\n  29 -> 31 [size =\"32689152\"]\n  30 [size=\"45563904\", alpha=\"0.18\", expect_size=\"22781952\"] \n  30 -> 37 [size =\"22781952\"]\n  30 -> 38 [size =\"22781952\"]\n  30 -> 39 [size =\"22781952\"]\n  30 -> 42 [size =\"22781952\"]\n  31 [size=\"51574784\", alpha=\"0.19\", expect_size=\"25787392\"] \n  31 -> 40 [size =\"25787392\"]\n  31 -> 41 [size =\"25787392\"]\n  31 -> 42 [size =\"25787392\"]\n  32 [size=\"51789824\", alpha=\"0.08\", expect_size=\"25894912\"] \n  32 -> 38 [size =\"25894912\"]\n  32 -> 39 [size =\"25894912\"]\n  32 -> 40 [size =\"25894912\"]\n  32 -> 42 [size =\"25894912\"]\n  33 [size=\"36546560\", alpha=\"0.15\", expect_size=\"18273280\"] \n  33 -> 37 [size =\"18273280\"]\n  33 -> 39 [size =\"18273280\"]\n  34 [size=\"16818176\", alpha=\"0.04\", expect_size=\"8409088\"] \n  34 -> 37 [size =\"8409088\"]\n  34 -> 39 [size =\"8409088\"]\n  34 -> 41 [size =\"8409088\"]\n  35 [size=\"33372160\", alpha=\"0.11\", expect_size=\"16686080\"] \n  35 -> 37 [size =\"16686080\"]\n  35 -> 39 [size =\"16686080\"]\n  35 -> 41 [size =\"16686080\"]\n  35 -> 42 [size =\"16686080\"]\n  36 [size=\"50487296\", alpha=\"0.02\", expect_size=\"25243648\"] \n  36 -> 37 [size =\"25243648\"]\n  36 -> 38 [size =\"25243648\"]\n  36 -> 40 [size =\"25243648\"]\n  37 [size=\"57569280\", alpha=\"0.07\", expect_size=\"28784640\"] \n  37 -> 45 [size =\"28784640\"]\n  38 [size=\"72685568\", alpha=\"0.15\", expect_size=\"36342784\"] \n  38 -> 44 [size =\"36342784\"]\n  39 [size=\"63748096\", alpha=\"0.15\", expect_size=\"31874048\"] \n  39 -> 43 [size =\"31874048\"]\n  40 [size=\"66449408\", alpha=\"0.07\", expect_size=\"33224704\"] \n  40 -> 45 [size =\"33224704\"]\n  41 [size=\"54908928\", alpha=\"0.03\", expect_size=\"27454464\"] \n  42 [size=\"47992832\", alpha=\"0.04\", expect_size=\"23996416\"] \n  43 [size=\"83687424\", alpha=\"0.17\", expect_size=\"41843712\"] \n  44 [size=\"58570752\", alpha=\"0.19\", expect_size=\"29285376\"] \n  45 [size=\"75171840\", alpha=\"0.17\", expect_size=\"37585920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19447808\", alpha=\"0.19\", expect_size=\"9723904\"] \n  1 -> 2 [size =\"9723904\"]\n  2 [size=\"62019584\", alpha=\"0.01\", expect_size=\"31009792\"] \n  2 -> 3 [size =\"31009792\"]\n  3 [size=\"86099968\", alpha=\"0.06\", expect_size=\"43049984\"] \n  3 -> 4 [size =\"43049984\"]\n  4 [size=\"97140736\", alpha=\"0.03\", expect_size=\"48570368\"] \n  4 -> 5 [size =\"48570368\"]\n  5 [size=\"11810816\", alpha=\"0.16\", expect_size=\"5905408\"] \n  5 -> 6 [size =\"5905408\"]\n  6 [size=\"37259264\", alpha=\"0.03\", expect_size=\"18629632\"] \n  6 -> 7 [size =\"18629632\"]\n  7 [size=\"19404800\", alpha=\"0.12\", expect_size=\"9702400\"] \n  7 -> 8 [size =\"9702400\"]\n  8 [size=\"68704256\", alpha=\"0.11\", expect_size=\"34352128\"] \n  8 -> 9 [size =\"34352128\"]\n  9 [size=\"76425216\", alpha=\"0.08\", expect_size=\"38212608\"] \n  9 -> 10 [size =\"38212608\"]\n  10 [size=\"104499200\", alpha=\"0.10\", expect_size=\"52249600\"] \n  10 -> 11 [size =\"52249600\"]\n  11 [size=\"94642176\", alpha=\"0.18\", expect_size=\"47321088\"] \n  11 -> 12 [size =\"47321088\"]\n  12 [size=\"88266752\", alpha=\"0.15\", expect_size=\"44133376\"] \n  12 -> 13 [size =\"44133376\"]\n  13 [size=\"95172608\", alpha=\"0.07\", expect_size=\"47586304\"] \n  13 -> 14 [size =\"47586304\"]\n  14 [size=\"27934720\", alpha=\"0.13\", expect_size=\"13967360\"] \n  14 -> 15 [size =\"13967360\"]\n  15 [size=\"41119744\", alpha=\"0.20\", expect_size=\"20559872\"] \n  15 -> 16 [size =\"20559872\"]\n  16 [size=\"24260608\", alpha=\"0.01\", expect_size=\"12130304\"] \n  16 -> 17 [size =\"12130304\"]\n  17 [size=\"38590464\", alpha=\"0.14\", expect_size=\"19295232\"] \n  17 -> 18 [size =\"19295232\"]\n  18 [size=\"97140736\", alpha=\"0.18\", expect_size=\"48570368\"] \n  18 -> 19 [size =\"48570368\"]\n  19 [size=\"53219328\", alpha=\"0.18\", expect_size=\"26609664\"] \n  19 -> 20 [size =\"26609664\"]\n  20 [size=\"89536512\", alpha=\"0.18\", expect_size=\"44768256\"] \n  20 -> 21 [size =\"44768256\"]\n  21 [size=\"40486912\", alpha=\"0.20\", expect_size=\"20243456\"] \n  21 -> 22 [size =\"20243456\"]\n  22 [size=\"31281152\", alpha=\"0.13\", expect_size=\"15640576\"] \n  22 -> 23 [size =\"15640576\"]\n  23 [size=\"99710976\", alpha=\"0.01\", expect_size=\"49855488\"] \n  23 -> 24 [size =\"49855488\"]\n  24 [size=\"36845568\", alpha=\"0.08\", expect_size=\"18422784\"] \n  24 -> 25 [size =\"18422784\"]\n  25 [size=\"96520192\", alpha=\"0.16\", expect_size=\"48260096\"] \n  25 -> 26 [size =\"48260096\"]\n  26 [size=\"95344640\", alpha=\"0.09\", expect_size=\"47672320\"] \n  26 -> 27 [size =\"47672320\"]\n  27 [size=\"98783232\", alpha=\"0.04\", expect_size=\"49391616\"] \n  27 -> 28 [size =\"49391616\"]\n  28 [size=\"72296448\", alpha=\"0.11\", expect_size=\"36148224\"] \n  28 -> 29 [size =\"36148224\"]\n  29 [size=\"64874496\", alpha=\"0.12\", expect_size=\"32437248\"] \n  29 -> 30 [size =\"32437248\"]\n  30 [size=\"56614912\", alpha=\"0.14\", expect_size=\"28307456\"] \n  30 -> 31 [size =\"28307456\"]\n  31 [size=\"47855616\", alpha=\"0.13\", expect_size=\"23927808\"] \n  31 -> 32 [size =\"23927808\"]\n  32 [size=\"47560704\", alpha=\"0.08\", expect_size=\"23780352\"] \n  32 -> 33 [size =\"23780352\"]\n  33 [size=\"12894208\", alpha=\"0.02\", expect_size=\"6447104\"] \n  33 -> 34 [size =\"6447104\"]\n  34 [size=\"19470336\", alpha=\"0.19\", expect_size=\"9735168\"] \n  34 -> 35 [size =\"9735168\"]\n  35 [size=\"59574272\", alpha=\"0.02\", expect_size=\"29787136\"] \n  35 -> 36 [size =\"29787136\"]\n  36 [size=\"40159232\", alpha=\"0.09\", expect_size=\"20079616\"] \n  36 -> 37 [size =\"20079616\"]\n  37 [size=\"82372608\", alpha=\"0.02\", expect_size=\"41186304\"] \n  37 -> 38 [size =\"41186304\"]\n  38 [size=\"100761600\", alpha=\"0.12\", expect_size=\"50380800\"] \n  38 -> 39 [size =\"50380800\"]\n  39 [size=\"59174912\", alpha=\"0.12\", expect_size=\"29587456\"] \n  39 -> 40 [size =\"29587456\"]\n  40 [size=\"23549952\", alpha=\"0.09\", expect_size=\"11774976\"] \n  40 -> 41 [size =\"11774976\"]\n  41 [size=\"87900160\", alpha=\"0.12\", expect_size=\"43950080\"] \n  41 -> 42 [size =\"43950080\"]\n  42 [size=\"53270528\", alpha=\"0.20\", expect_size=\"26635264\"] \n  42 -> 43 [size =\"26635264\"]\n  43 [size=\"91811840\", alpha=\"0.06\", expect_size=\"45905920\"] \n  43 -> 44 [size =\"45905920\"]\n  44 [size=\"99467264\", alpha=\"0.18\", expect_size=\"49733632\"] \n  44 -> 45 [size =\"49733632\"]\n  45 [size=\"93689856\", alpha=\"0.08\", expect_size=\"46844928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47690240\", alpha=\"0.07\", expect_size=\"19076096\"] \n  1 -> 6 [size =\"19076096\"]\n  1 -> 7 [size =\"19076096\"]\n  1 -> 8 [size =\"19076096\"]\n  2 [size=\"62976000\", alpha=\"0.19\", expect_size=\"25190400\"] \n  2 -> 6 [size =\"25190400\"]\n  2 -> 7 [size =\"25190400\"]\n  3 [size=\"53824000\", alpha=\"0.15\", expect_size=\"21529600\"] \n  3 -> 6 [size =\"21529600\"]\n  3 -> 7 [size =\"21529600\"]\n  4 [size=\"110492160\", alpha=\"0.10\", expect_size=\"44196864\"] \n  4 -> 6 [size =\"44196864\"]\n  4 -> 7 [size =\"44196864\"]\n  4 -> 8 [size =\"44196864\"]\n  4 -> 9 [size =\"44196864\"]\n  5 [size=\"73881600\", alpha=\"0.13\", expect_size=\"29552640\"] \n  5 -> 6 [size =\"29552640\"]\n  5 -> 7 [size =\"29552640\"]\n  5 -> 8 [size =\"29552640\"]\n  5 -> 9 [size =\"29552640\"]\n  6 [size=\"79772160\", alpha=\"0.12\", expect_size=\"31908864\"] \n  6 -> 10 [size =\"31908864\"]\n  6 -> 11 [size =\"31908864\"]\n  6 -> 12 [size =\"31908864\"]\n  6 -> 13 [size =\"31908864\"]\n  6 -> 15 [size =\"31908864\"]\n  7 [size=\"105088000\", alpha=\"0.16\", expect_size=\"42035200\"] \n  7 -> 11 [size =\"42035200\"]\n  7 -> 13 [size =\"42035200\"]\n  7 -> 14 [size =\"42035200\"]\n  7 -> 15 [size =\"42035200\"]\n  8 [size=\"16440320\", alpha=\"0.19\", expect_size=\"6576128\"] \n  8 -> 10 [size =\"6576128\"]\n  8 -> 13 [size =\"6576128\"]\n  8 -> 14 [size =\"6576128\"]\n  8 -> 15 [size =\"6576128\"]\n  9 [size=\"107233280\", alpha=\"0.11\", expect_size=\"42893312\"] \n  9 -> 10 [size =\"42893312\"]\n  9 -> 12 [size =\"42893312\"]\n  9 -> 14 [size =\"42893312\"]\n  9 -> 15 [size =\"42893312\"]\n  10 [size=\"45498880\", alpha=\"0.13\", expect_size=\"18199552\"] \n  10 -> 19 [size =\"18199552\"]\n  11 [size=\"130521600\", alpha=\"0.07\", expect_size=\"52208640\"] \n  11 -> 16 [size =\"52208640\"]\n  11 -> 17 [size =\"52208640\"]\n  11 -> 19 [size =\"52208640\"]\n  12 [size=\"54970880\", alpha=\"0.17\", expect_size=\"21988352\"] \n  12 -> 16 [size =\"21988352\"]\n  12 -> 17 [size =\"21988352\"]\n  12 -> 18 [size =\"21988352\"]\n  13 [size=\"50775040\", alpha=\"0.14\", expect_size=\"20310016\"] \n  13 -> 17 [size =\"20310016\"]\n  13 -> 17 [size =\"20310016\"]\n  13 -> 18 [size =\"20310016\"]\n  13 -> 19 [size =\"20310016\"]\n  14 [size=\"18880000\", alpha=\"0.11\", expect_size=\"7552000\"] \n  14 -> 16 [size =\"7552000\"]\n  14 -> 17 [size =\"7552000\"]\n  14 -> 18 [size =\"7552000\"]\n  14 -> 19 [size =\"7552000\"]\n  15 [size=\"75599360\", alpha=\"0.09\", expect_size=\"30239744\"] \n  15 -> 16 [size =\"30239744\"]\n  15 -> 19 [size =\"30239744\"]\n  16 [size=\"32906240\", alpha=\"0.19\", expect_size=\"13162496\"] \n  16 -> 23 [size =\"13162496\"]\n  16 -> 25 [size =\"13162496\"]\n  17 [size=\"104696320\", alpha=\"0.15\", expect_size=\"41878528\"] \n  17 -> 25 [size =\"41878528\"]\n  18 [size=\"82818560\", alpha=\"0.17\", expect_size=\"33127424\"] \n  18 -> 20 [size =\"33127424\"]\n  18 -> 22 [size =\"33127424\"]\n  18 -> 24 [size =\"33127424\"]\n  18 -> 25 [size =\"33127424\"]\n  19 [size=\"77852160\", alpha=\"0.02\", expect_size=\"31140864\"] \n  19 -> 20 [size =\"31140864\"]\n  19 -> 21 [size =\"31140864\"]\n  19 -> 23 [size =\"31140864\"]\n  19 -> 24 [size =\"31140864\"]\n  19 -> 25 [size =\"31140864\"]\n  20 [size=\"26764800\", alpha=\"0.18\", expect_size=\"10705920\"] \n  20 -> 26 [size =\"10705920\"]\n  20 -> 27 [size =\"10705920\"]\n  20 -> 28 [size =\"10705920\"]\n  20 -> 30 [size =\"10705920\"]\n  21 [size=\"106245120\", alpha=\"0.20\", expect_size=\"42498048\"] \n  22 [size=\"27786240\", alpha=\"0.10\", expect_size=\"11114496\"] \n  22 -> 29 [size =\"11114496\"]\n  23 [size=\"127508480\", alpha=\"0.07\", expect_size=\"51003392\"] \n  23 -> 27 [size =\"51003392\"]\n  23 -> 29 [size =\"51003392\"]\n  24 [size=\"94617600\", alpha=\"0.01\", expect_size=\"37847040\"] \n  24 -> 30 [size =\"37847040\"]\n  25 [size=\"41584640\", alpha=\"0.05\", expect_size=\"16633856\"] \n  25 -> 26 [size =\"16633856\"]\n  25 -> 27 [size =\"16633856\"]\n  25 -> 28 [size =\"16633856\"]\n  25 -> 30 [size =\"16633856\"]\n  26 [size=\"93230080\", alpha=\"0.20\", expect_size=\"37292032\"] \n  26 -> 32 [size =\"37292032\"]\n  26 -> 35 [size =\"37292032\"]\n  26 -> 36 [size =\"37292032\"]\n  27 [size=\"87831040\", alpha=\"0.11\", expect_size=\"35132416\"] \n  27 -> 34 [size =\"35132416\"]\n  27 -> 35 [size =\"35132416\"]\n  27 -> 36 [size =\"35132416\"]\n  28 [size=\"57210880\", alpha=\"0.02\", expect_size=\"22884352\"] \n  28 -> 32 [size =\"22884352\"]\n  28 -> 34 [size =\"22884352\"]\n  28 -> 35 [size =\"22884352\"]\n  28 -> 36 [size =\"22884352\"]\n  29 [size=\"39168000\", alpha=\"0.10\", expect_size=\"15667200\"] \n  29 -> 35 [size =\"15667200\"]\n  30 [size=\"49423360\", alpha=\"0.03\", expect_size=\"19769344\"] \n  30 -> 31 [size =\"19769344\"]\n  30 -> 33 [size =\"19769344\"]\n  30 -> 34 [size =\"19769344\"]\n  30 -> 35 [size =\"19769344\"]\n  31 [size=\"35834880\", alpha=\"0.15\", expect_size=\"14333952\"] \n  31 -> 39 [size =\"14333952\"]\n  31 -> 40 [size =\"14333952\"]\n  32 [size=\"32985600\", alpha=\"0.15\", expect_size=\"13194240\"] \n  32 -> 39 [size =\"13194240\"]\n  32 -> 40 [size =\"13194240\"]\n  33 [size=\"90744320\", alpha=\"0.02\", expect_size=\"36297728\"] \n  33 -> 38 [size =\"36297728\"]\n  33 -> 39 [size =\"36297728\"]\n  34 [size=\"13900800\", alpha=\"0.09\", expect_size=\"5560320\"] \n  34 -> 39 [size =\"5560320\"]\n  34 -> 39 [size =\"5560320\"]\n  34 -> 40 [size =\"5560320\"]\n  35 [size=\"17804800\", alpha=\"0.07\", expect_size=\"7121920\"] \n  35 -> 40 [size =\"7121920\"]\n  36 [size=\"45268480\", alpha=\"0.08\", expect_size=\"18107392\"] \n  36 -> 37 [size =\"18107392\"]\n  36 -> 39 [size =\"18107392\"]\n  36 -> 40 [size =\"18107392\"]\n  37 [size=\"44989440\", alpha=\"0.05\", expect_size=\"17995776\"] \n  37 -> 41 [size =\"17995776\"]\n  37 -> 45 [size =\"17995776\"]\n  38 [size=\"108951040\", alpha=\"0.13\", expect_size=\"43580416\"] \n  38 -> 41 [size =\"43580416\"]\n  38 -> 44 [size =\"43580416\"]\n  38 -> 45 [size =\"43580416\"]\n  39 [size=\"122524160\", alpha=\"0.13\", expect_size=\"49009664\"] \n  39 -> 41 [size =\"49009664\"]\n  39 -> 44 [size =\"49009664\"]\n  39 -> 45 [size =\"49009664\"]\n  40 [size=\"61867520\", alpha=\"0.15\", expect_size=\"24747008\"] \n  40 -> 41 [size =\"24747008\"]\n  40 -> 42 [size =\"24747008\"]\n  40 -> 43 [size =\"24747008\"]\n  40 -> 44 [size =\"24747008\"]\n  40 -> 45 [size =\"24747008\"]\n  41 [size=\"77340160\", alpha=\"0.12\", expect_size=\"30936064\"] \n  42 [size=\"50429440\", alpha=\"0.13\", expect_size=\"20171776\"] \n  43 [size=\"22996480\", alpha=\"0.12\", expect_size=\"9198592\"] \n  44 [size=\"32711680\", alpha=\"0.06\", expect_size=\"13084672\"] \n  45 [size=\"85350400\", alpha=\"0.04\", expect_size=\"34140160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61886464\", alpha=\"0.02\", expect_size=\"30943232\"] \n  1 -> 37 [size =\"30943232\"]\n  1 -> 38 [size =\"30943232\"]\n  1 -> 41 [size =\"30943232\"]\n  1 -> 45 [size =\"30943232\"]\n  2 [size=\"88381440\", alpha=\"0.03\", expect_size=\"44190720\"] \n  2 -> 37 [size =\"44190720\"]\n  2 -> 38 [size =\"44190720\"]\n  2 -> 40 [size =\"44190720\"]\n  2 -> 41 [size =\"44190720\"]\n  2 -> 42 [size =\"44190720\"]\n  2 -> 45 [size =\"44190720\"]\n  3 [size=\"46243840\", alpha=\"0.05\", expect_size=\"23121920\"] \n  3 -> 37 [size =\"23121920\"]\n  3 -> 38 [size =\"23121920\"]\n  3 -> 39 [size =\"23121920\"]\n  4 [size=\"13834240\", alpha=\"0.04\", expect_size=\"6917120\"] \n  4 -> 37 [size =\"6917120\"]\n  4 -> 40 [size =\"6917120\"]\n  4 -> 41 [size =\"6917120\"]\n  5 [size=\"64358400\", alpha=\"0.08\", expect_size=\"32179200\"] \n  5 -> 40 [size =\"32179200\"]\n  5 -> 45 [size =\"32179200\"]\n  6 [size=\"102477824\", alpha=\"0.09\", expect_size=\"51238912\"] \n  6 -> 38 [size =\"51238912\"]\n  6 -> 40 [size =\"51238912\"]\n  6 -> 43 [size =\"51238912\"]\n  6 -> 44 [size =\"51238912\"]\n  6 -> 45 [size =\"51238912\"]\n  7 [size=\"47638528\", alpha=\"0.02\", expect_size=\"23819264\"] \n  7 -> 37 [size =\"23819264\"]\n  7 -> 38 [size =\"23819264\"]\n  7 -> 39 [size =\"23819264\"]\n  7 -> 40 [size =\"23819264\"]\n  7 -> 43 [size =\"23819264\"]\n  8 [size=\"43655168\", alpha=\"0.06\", expect_size=\"21827584\"] \n  8 -> 40 [size =\"21827584\"]\n  8 -> 41 [size =\"21827584\"]\n  8 -> 44 [size =\"21827584\"]\n  8 -> 45 [size =\"21827584\"]\n  9 [size=\"11030528\", alpha=\"0.07\", expect_size=\"5515264\"] \n  9 -> 38 [size =\"5515264\"]\n  9 -> 41 [size =\"5515264\"]\n  9 -> 45 [size =\"5515264\"]\n  9 -> 45 [size =\"5515264\"]\n  10 [size=\"94076928\", alpha=\"0.05\", expect_size=\"47038464\"] \n  10 -> 37 [size =\"47038464\"]\n  10 -> 38 [size =\"47038464\"]\n  11 [size=\"81338368\", alpha=\"0.10\", expect_size=\"40669184\"] \n  11 -> 44 [size =\"40669184\"]\n  11 -> 45 [size =\"40669184\"]\n  12 [size=\"88621056\", alpha=\"0.14\", expect_size=\"44310528\"] \n  12 -> 44 [size =\"44310528\"]\n  13 [size=\"102477824\", alpha=\"0.16\", expect_size=\"51238912\"] \n  13 -> 37 [size =\"51238912\"]\n  13 -> 40 [size =\"51238912\"]\n  13 -> 41 [size =\"51238912\"]\n  13 -> 44 [size =\"51238912\"]\n  14 [size=\"29988864\", alpha=\"0.17\", expect_size=\"14994432\"] \n  14 -> 41 [size =\"14994432\"]\n  15 [size=\"48754688\", alpha=\"0.12\", expect_size=\"24377344\"] \n  15 -> 37 [size =\"24377344\"]\n  16 [size=\"86265856\", alpha=\"0.18\", expect_size=\"43132928\"] \n  16 -> 40 [size =\"43132928\"]\n  16 -> 45 [size =\"43132928\"]\n  17 [size=\"35493888\", alpha=\"0.16\", expect_size=\"17746944\"] \n  17 -> 37 [size =\"17746944\"]\n  17 -> 40 [size =\"17746944\"]\n  17 -> 41 [size =\"17746944\"]\n  17 -> 43 [size =\"17746944\"]\n  18 [size=\"46635008\", alpha=\"0.09\", expect_size=\"23317504\"] \n  18 -> 42 [size =\"23317504\"]\n  18 -> 44 [size =\"23317504\"]\n  19 [size=\"75839488\", alpha=\"0.18\", expect_size=\"37919744\"] \n  19 -> 38 [size =\"37919744\"]\n  19 -> 39 [size =\"37919744\"]\n  19 -> 40 [size =\"37919744\"]\n  20 [size=\"16033792\", alpha=\"0.16\", expect_size=\"8016896\"] \n  20 -> 38 [size =\"8016896\"]\n  20 -> 44 [size =\"8016896\"]\n  21 [size=\"38017024\", alpha=\"0.06\", expect_size=\"19008512\"] \n  21 -> 37 [size =\"19008512\"]\n  21 -> 39 [size =\"19008512\"]\n  21 -> 44 [size =\"19008512\"]\n  22 [size=\"86398976\", alpha=\"0.12\", expect_size=\"43199488\"] \n  22 -> 37 [size =\"43199488\"]\n  22 -> 40 [size =\"43199488\"]\n  22 -> 44 [size =\"43199488\"]\n  23 [size=\"56387584\", alpha=\"0.05\", expect_size=\"28193792\"] \n  23 -> 37 [size =\"28193792\"]\n  23 -> 40 [size =\"28193792\"]\n  23 -> 41 [size =\"28193792\"]\n  24 [size=\"36515840\", alpha=\"0.19\", expect_size=\"18257920\"] \n  24 -> 37 [size =\"18257920\"]\n  24 -> 38 [size =\"18257920\"]\n  24 -> 39 [size =\"18257920\"]\n  24 -> 40 [size =\"18257920\"]\n  24 -> 41 [size =\"18257920\"]\n  24 -> 43 [size =\"18257920\"]\n  25 [size=\"21385216\", alpha=\"0.05\", expect_size=\"10692608\"] \n  25 -> 37 [size =\"10692608\"]\n  25 -> 38 [size =\"10692608\"]\n  25 -> 40 [size =\"10692608\"]\n  25 -> 40 [size =\"10692608\"]\n  25 -> 41 [size =\"10692608\"]\n  25 -> 43 [size =\"10692608\"]\n  26 [size=\"76908544\", alpha=\"0.10\", expect_size=\"38454272\"] \n  26 -> 37 [size =\"38454272\"]\n  26 -> 38 [size =\"38454272\"]\n  26 -> 39 [size =\"38454272\"]\n  26 -> 43 [size =\"38454272\"]\n  26 -> 44 [size =\"38454272\"]\n  26 -> 45 [size =\"38454272\"]\n  27 [size=\"65423360\", alpha=\"0.03\", expect_size=\"32711680\"] \n  27 -> 39 [size =\"32711680\"]\n  27 -> 43 [size =\"32711680\"]\n  27 -> 45 [size =\"32711680\"]\n  28 [size=\"44292096\", alpha=\"0.03\", expect_size=\"22146048\"] \n  28 -> 39 [size =\"22146048\"]\n  28 -> 41 [size =\"22146048\"]\n  28 -> 43 [size =\"22146048\"]\n  28 -> 45 [size =\"22146048\"]\n  29 [size=\"84715520\", alpha=\"0.04\", expect_size=\"42357760\"] \n  29 -> 39 [size =\"42357760\"]\n  29 -> 42 [size =\"42357760\"]\n  29 -> 43 [size =\"42357760\"]\n  30 [size=\"73318400\", alpha=\"0.01\", expect_size=\"36659200\"] \n  30 -> 41 [size =\"36659200\"]\n  30 -> 43 [size =\"36659200\"]\n  30 -> 43 [size =\"36659200\"]\n  30 -> 44 [size =\"36659200\"]\n  30 -> 45 [size =\"36659200\"]\n  31 [size=\"55171072\", alpha=\"0.14\", expect_size=\"27585536\"] \n  31 -> 41 [size =\"27585536\"]\n  31 -> 43 [size =\"27585536\"]\n  32 [size=\"81670144\", alpha=\"0.04\", expect_size=\"40835072\"] \n  32 -> 43 [size =\"40835072\"]\n  32 -> 43 [size =\"40835072\"]\n  32 -> 44 [size =\"40835072\"]\n  33 [size=\"41973760\", alpha=\"0.13\", expect_size=\"20986880\"] \n  33 -> 37 [size =\"20986880\"]\n  33 -> 40 [size =\"20986880\"]\n  33 -> 41 [size =\"20986880\"]\n  33 -> 43 [size =\"20986880\"]\n  33 -> 45 [size =\"20986880\"]\n  34 [size=\"66211840\", alpha=\"0.06\", expect_size=\"33105920\"] \n  34 -> 37 [size =\"33105920\"]\n  34 -> 38 [size =\"33105920\"]\n  34 -> 40 [size =\"33105920\"]\n  34 -> 41 [size =\"33105920\"]\n  35 [size=\"63361024\", alpha=\"0.07\", expect_size=\"31680512\"] \n  35 -> 37 [size =\"31680512\"]\n  35 -> 38 [size =\"31680512\"]\n  35 -> 40 [size =\"31680512\"]\n  36 [size=\"87293952\", alpha=\"0.04\", expect_size=\"43646976\"] \n  36 -> 37 [size =\"43646976\"]\n  36 -> 38 [size =\"43646976\"]\n  36 -> 40 [size =\"43646976\"]\n  37 [size=\"41265152\", alpha=\"0.07\", expect_size=\"20632576\"] \n  38 [size=\"56795136\", alpha=\"0.17\", expect_size=\"28397568\"] \n  39 [size=\"72687616\", alpha=\"0.01\", expect_size=\"36343808\"] \n  40 [size=\"89485312\", alpha=\"0.07\", expect_size=\"44742656\"] \n  41 [size=\"96411648\", alpha=\"0.18\", expect_size=\"48205824\"] \n  42 [size=\"69943296\", alpha=\"0.05\", expect_size=\"34971648\"] \n  43 [size=\"88219648\", alpha=\"0.02\", expect_size=\"44109824\"] \n  44 [size=\"54493184\", alpha=\"0.04\", expect_size=\"27246592\"] \n  45 [size=\"82636800\", alpha=\"0.09\", expect_size=\"41318400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83662848\", alpha=\"0.10\", expect_size=\"41831424\"] \n  1 -> 4 [size =\"41831424\"]\n  2 [size=\"58707968\", alpha=\"0.02\", expect_size=\"29353984\"] \n  2 -> 3 [size =\"29353984\"]\n  3 [size=\"34304000\", alpha=\"0.16\", expect_size=\"17152000\"] \n  3 -> 5 [size =\"17152000\"]\n  3 -> 6 [size =\"17152000\"]\n  4 [size=\"60684288\", alpha=\"0.13\", expect_size=\"30342144\"] \n  4 -> 5 [size =\"30342144\"]\n  5 [size=\"68128768\", alpha=\"0.16\", expect_size=\"34064384\"] \n  5 -> 7 [size =\"34064384\"]\n  5 -> 8 [size =\"34064384\"]\n  6 [size=\"12867584\", alpha=\"0.11\", expect_size=\"6433792\"] \n  6 -> 8 [size =\"6433792\"]\n  7 [size=\"49172480\", alpha=\"0.01\", expect_size=\"24586240\"] \n  7 -> 9 [size =\"24586240\"]\n  7 -> 10 [size =\"24586240\"]\n  8 [size=\"74539008\", alpha=\"0.18\", expect_size=\"37269504\"] \n  8 -> 9 [size =\"37269504\"]\n  9 [size=\"12564480\", alpha=\"0.09\", expect_size=\"6282240\"] \n  9 -> 12 [size =\"6282240\"]\n  9 -> 13 [size =\"6282240\"]\n  10 [size=\"27344896\", alpha=\"0.08\", expect_size=\"13672448\"] \n  10 -> 11 [size =\"13672448\"]\n  10 -> 13 [size =\"13672448\"]\n  11 [size=\"89913344\", alpha=\"0.19\", expect_size=\"44956672\"] \n  11 -> 14 [size =\"44956672\"]\n  12 [size=\"41830400\", alpha=\"0.11\", expect_size=\"20915200\"] \n  12 -> 15 [size =\"20915200\"]\n  13 [size=\"50601984\", alpha=\"0.19\", expect_size=\"25300992\"] \n  13 -> 14 [size =\"25300992\"]\n  13 -> 15 [size =\"25300992\"]\n  14 [size=\"33636352\", alpha=\"0.19\", expect_size=\"16818176\"] \n  14 -> 16 [size =\"16818176\"]\n  15 [size=\"93573120\", alpha=\"0.03\", expect_size=\"46786560\"] \n  15 -> 17 [size =\"46786560\"]\n  16 [size=\"72886272\", alpha=\"0.15\", expect_size=\"36443136\"] \n  17 [size=\"29751296\", alpha=\"0.12\", expect_size=\"14875648\"] \n  17 -> 18 [size =\"14875648\"]\n  17 -> 19 [size =\"14875648\"]\n  18 [size=\"32315392\", alpha=\"0.04\", expect_size=\"16157696\"] \n  18 -> 20 [size =\"16157696\"]\n  18 -> 21 [size =\"16157696\"]\n  19 [size=\"20992000\", alpha=\"0.12\", expect_size=\"10496000\"] \n  20 [size=\"61255680\", alpha=\"0.06\", expect_size=\"30627840\"] \n  20 -> 22 [size =\"30627840\"]\n  21 [size=\"101025792\", alpha=\"0.14\", expect_size=\"50512896\"] \n  21 -> 23 [size =\"50512896\"]\n  21 -> 24 [size =\"50512896\"]\n  22 [size=\"96307200\", alpha=\"0.13\", expect_size=\"48153600\"] \n  22 -> 25 [size =\"48153600\"]\n  23 [size=\"52162560\", alpha=\"0.17\", expect_size=\"26081280\"] \n  23 -> 25 [size =\"26081280\"]\n  23 -> 26 [size =\"26081280\"]\n  23 -> 27 [size =\"26081280\"]\n  24 [size=\"46893056\", alpha=\"0.11\", expect_size=\"23446528\"] \n  25 [size=\"41408512\", alpha=\"0.18\", expect_size=\"20704256\"] \n  25 -> 28 [size =\"20704256\"]\n  26 [size=\"53479424\", alpha=\"0.05\", expect_size=\"26739712\"] \n  27 [size=\"30416896\", alpha=\"0.01\", expect_size=\"15208448\"] \n  27 -> 29 [size =\"15208448\"]\n  28 [size=\"88539136\", alpha=\"0.10\", expect_size=\"44269568\"] \n  29 [size=\"15075328\", alpha=\"0.19\", expect_size=\"7537664\"] \n  29 -> 30 [size =\"7537664\"]\n  29 -> 31 [size =\"7537664\"]\n  29 -> 32 [size =\"7537664\"]\n  30 [size=\"73861120\", alpha=\"0.12\", expect_size=\"36930560\"] \n  30 -> 34 [size =\"36930560\"]\n  30 -> 35 [size =\"36930560\"]\n  31 [size=\"99975168\", alpha=\"0.02\", expect_size=\"49987584\"] \n  31 -> 33 [size =\"49987584\"]\n  31 -> 34 [size =\"49987584\"]\n  32 [size=\"72220672\", alpha=\"0.18\", expect_size=\"36110336\"] \n  32 -> 33 [size =\"36110336\"]\n  33 [size=\"38819840\", alpha=\"0.03\", expect_size=\"19409920\"] \n  33 -> 36 [size =\"19409920\"]\n  33 -> 37 [size =\"19409920\"]\n  34 [size=\"23592960\", alpha=\"0.13\", expect_size=\"11796480\"] \n  35 [size=\"76740608\", alpha=\"0.01\", expect_size=\"38370304\"] \n  35 -> 37 [size =\"38370304\"]\n  36 [size=\"67158016\", alpha=\"0.01\", expect_size=\"33579008\"] \n  36 -> 38 [size =\"33579008\"]\n  36 -> 39 [size =\"33579008\"]\n  37 [size=\"91602944\", alpha=\"0.06\", expect_size=\"45801472\"] \n  37 -> 38 [size =\"45801472\"]\n  37 -> 39 [size =\"45801472\"]\n  38 [size=\"94392320\", alpha=\"0.16\", expect_size=\"47196160\"] \n  38 -> 40 [size =\"47196160\"]\n  38 -> 41 [size =\"47196160\"]\n  39 [size=\"45205504\", alpha=\"0.07\", expect_size=\"22602752\"] \n  39 -> 40 [size =\"22602752\"]\n  39 -> 42 [size =\"22602752\"]\n  40 [size=\"40495104\", alpha=\"0.10\", expect_size=\"20247552\"] \n  40 -> 45 [size =\"20247552\"]\n  41 [size=\"97120256\", alpha=\"0.11\", expect_size=\"48560128\"] \n  42 [size=\"11395072\", alpha=\"0.11\", expect_size=\"5697536\"] \n  42 -> 43 [size =\"5697536\"]\n  42 -> 44 [size =\"5697536\"]\n  42 -> 45 [size =\"5697536\"]\n  43 [size=\"97777664\", alpha=\"0.20\", expect_size=\"48888832\"] \n  44 [size=\"18898944\", alpha=\"0.16\", expect_size=\"9449472\"] \n  45 [size=\"81025024\", alpha=\"0.19\", expect_size=\"40512512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83892224\", alpha=\"0.14\", expect_size=\"41946112\"] \n  1 -> 2 [size =\"41946112\"]\n  2 [size=\"41670656\", alpha=\"0.17\", expect_size=\"20835328\"] \n  2 -> 3 [size =\"20835328\"]\n  3 [size=\"14104576\", alpha=\"0.16\", expect_size=\"7052288\"] \n  3 -> 4 [size =\"7052288\"]\n  4 [size=\"95774720\", alpha=\"0.11\", expect_size=\"47887360\"] \n  4 -> 5 [size =\"47887360\"]\n  5 [size=\"37240832\", alpha=\"0.16\", expect_size=\"18620416\"] \n  5 -> 6 [size =\"18620416\"]\n  6 [size=\"101642240\", alpha=\"0.08\", expect_size=\"50821120\"] \n  6 -> 7 [size =\"50821120\"]\n  7 [size=\"26818560\", alpha=\"0.10\", expect_size=\"13409280\"] \n  7 -> 8 [size =\"13409280\"]\n  8 [size=\"76748800\", alpha=\"0.15\", expect_size=\"38374400\"] \n  8 -> 9 [size =\"38374400\"]\n  9 [size=\"16920576\", alpha=\"0.20\", expect_size=\"8460288\"] \n  9 -> 10 [size =\"8460288\"]\n  10 [size=\"78024704\", alpha=\"0.07\", expect_size=\"39012352\"] \n  10 -> 11 [size =\"39012352\"]\n  11 [size=\"84353024\", alpha=\"0.17\", expect_size=\"42176512\"] \n  11 -> 12 [size =\"42176512\"]\n  12 [size=\"56688640\", alpha=\"0.08\", expect_size=\"28344320\"] \n  12 -> 13 [size =\"28344320\"]\n  13 [size=\"41101312\", alpha=\"0.12\", expect_size=\"20550656\"] \n  13 -> 14 [size =\"20550656\"]\n  14 [size=\"20899840\", alpha=\"0.08\", expect_size=\"10449920\"] \n  14 -> 15 [size =\"10449920\"]\n  15 [size=\"71694336\", alpha=\"0.19\", expect_size=\"35847168\"] \n  15 -> 16 [size =\"35847168\"]\n  16 [size=\"53262336\", alpha=\"0.19\", expect_size=\"26631168\"] \n  16 -> 17 [size =\"26631168\"]\n  17 [size=\"88801280\", alpha=\"0.13\", expect_size=\"44400640\"] \n  17 -> 18 [size =\"44400640\"]\n  18 [size=\"43026432\", alpha=\"0.05\", expect_size=\"21513216\"] \n  18 -> 19 [size =\"21513216\"]\n  19 [size=\"21733376\", alpha=\"0.07\", expect_size=\"10866688\"] \n  19 -> 20 [size =\"10866688\"]\n  20 [size=\"20709376\", alpha=\"0.04\", expect_size=\"10354688\"] \n  20 -> 21 [size =\"10354688\"]\n  21 [size=\"55693312\", alpha=\"0.17\", expect_size=\"27846656\"] \n  21 -> 22 [size =\"27846656\"]\n  22 [size=\"41846784\", alpha=\"0.16\", expect_size=\"20923392\"] \n  22 -> 23 [size =\"20923392\"]\n  23 [size=\"81072128\", alpha=\"0.15\", expect_size=\"40536064\"] \n  23 -> 24 [size =\"40536064\"]\n  24 [size=\"44613632\", alpha=\"0.13\", expect_size=\"22306816\"] \n  24 -> 25 [size =\"22306816\"]\n  25 [size=\"83109888\", alpha=\"0.17\", expect_size=\"41554944\"] \n  25 -> 26 [size =\"41554944\"]\n  26 [size=\"79939584\", alpha=\"0.20\", expect_size=\"39969792\"] \n  26 -> 27 [size =\"39969792\"]\n  27 [size=\"75751424\", alpha=\"0.06\", expect_size=\"37875712\"] \n  27 -> 28 [size =\"37875712\"]\n  28 [size=\"41687040\", alpha=\"0.07\", expect_size=\"20843520\"] \n  28 -> 29 [size =\"20843520\"]\n  29 [size=\"63891456\", alpha=\"0.08\", expect_size=\"31945728\"] \n  29 -> 30 [size =\"31945728\"]\n  30 [size=\"97605632\", alpha=\"0.04\", expect_size=\"48802816\"] \n  30 -> 31 [size =\"48802816\"]\n  31 [size=\"22337536\", alpha=\"0.16\", expect_size=\"11168768\"] \n  31 -> 32 [size =\"11168768\"]\n  32 [size=\"100239360\", alpha=\"0.18\", expect_size=\"50119680\"] \n  32 -> 33 [size =\"50119680\"]\n  33 [size=\"79382528\", alpha=\"0.06\", expect_size=\"39691264\"] \n  33 -> 34 [size =\"39691264\"]\n  34 [size=\"57755648\", alpha=\"0.16\", expect_size=\"28877824\"] \n  34 -> 35 [size =\"28877824\"]\n  35 [size=\"26281984\", alpha=\"0.19\", expect_size=\"13140992\"] \n  35 -> 36 [size =\"13140992\"]\n  36 [size=\"11716608\", alpha=\"0.11\", expect_size=\"5858304\"] \n  36 -> 37 [size =\"5858304\"]\n  37 [size=\"10844160\", alpha=\"0.00\", expect_size=\"5422080\"] \n  37 -> 38 [size =\"5422080\"]\n  38 [size=\"39999488\", alpha=\"0.16\", expect_size=\"19999744\"] \n  38 -> 39 [size =\"19999744\"]\n  39 [size=\"71075840\", alpha=\"0.14\", expect_size=\"35537920\"] \n  39 -> 40 [size =\"35537920\"]\n  40 [size=\"16134144\", alpha=\"0.14\", expect_size=\"8067072\"] \n  40 -> 41 [size =\"8067072\"]\n  41 [size=\"37089280\", alpha=\"0.04\", expect_size=\"18544640\"] \n  41 -> 42 [size =\"18544640\"]\n  42 [size=\"19064832\", alpha=\"0.01\", expect_size=\"9532416\"] \n  42 -> 43 [size =\"9532416\"]\n  43 [size=\"102635520\", alpha=\"0.12\", expect_size=\"51317760\"] \n  43 -> 44 [size =\"51317760\"]\n  44 [size=\"35301376\", alpha=\"0.11\", expect_size=\"17650688\"] \n  44 -> 45 [size =\"17650688\"]\n  45 [size=\"16220160\", alpha=\"0.05\", expect_size=\"8110080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46663680\", alpha=\"0.07\", expect_size=\"13999104\"] \n  1 -> 20 [size =\"13999104\"]\n  1 -> 22 [size =\"13999104\"]\n  1 -> 27 [size =\"13999104\"]\n  1 -> 30 [size =\"13999104\"]\n  1 -> 31 [size =\"13999104\"]\n  1 -> 32 [size =\"13999104\"]\n  2 [size=\"83821227\", alpha=\"0.02\", expect_size=\"25146368\"] \n  2 -> 15 [size =\"25146368\"]\n  2 -> 16 [size =\"25146368\"]\n  2 -> 20 [size =\"25146368\"]\n  2 -> 21 [size =\"25146368\"]\n  2 -> 23 [size =\"25146368\"]\n  2 -> 27 [size =\"25146368\"]\n  2 -> 30 [size =\"25146368\"]\n  3 [size=\"63744000\", alpha=\"0.19\", expect_size=\"19123200\"] \n  3 -> 16 [size =\"19123200\"]\n  3 -> 20 [size =\"19123200\"]\n  3 -> 23 [size =\"19123200\"]\n  3 -> 24 [size =\"19123200\"]\n  3 -> 25 [size =\"19123200\"]\n  3 -> 27 [size =\"19123200\"]\n  3 -> 28 [size =\"19123200\"]\n  3 -> 29 [size =\"19123200\"]\n  4 [size=\"98590720\", alpha=\"0.00\", expect_size=\"29577216\"] \n  4 -> 15 [size =\"29577216\"]\n  4 -> 16 [size =\"29577216\"]\n  4 -> 17 [size =\"29577216\"]\n  4 -> 19 [size =\"29577216\"]\n  4 -> 20 [size =\"29577216\"]\n  4 -> 24 [size =\"29577216\"]\n  4 -> 25 [size =\"29577216\"]\n  4 -> 27 [size =\"29577216\"]\n  4 -> 28 [size =\"29577216\"]\n  4 -> 31 [size =\"29577216\"]\n  5 [size=\"95197867\", alpha=\"0.19\", expect_size=\"28559360\"] \n  5 -> 15 [size =\"28559360\"]\n  5 -> 16 [size =\"28559360\"]\n  5 -> 17 [size =\"28559360\"]\n  5 -> 19 [size =\"28559360\"]\n  5 -> 27 [size =\"28559360\"]\n  5 -> 32 [size =\"28559360\"]\n  6 [size=\"165478400\", alpha=\"0.05\", expect_size=\"49643520\"] \n  6 -> 15 [size =\"49643520\"]\n  6 -> 16 [size =\"49643520\"]\n  6 -> 17 [size =\"49643520\"]\n  6 -> 19 [size =\"49643520\"]\n  6 -> 20 [size =\"49643520\"]\n  6 -> 27 [size =\"49643520\"]\n  6 -> 28 [size =\"49643520\"]\n  6 -> 32 [size =\"49643520\"]\n  7 [size=\"150200320\", alpha=\"0.11\", expect_size=\"45060096\"] \n  7 -> 15 [size =\"45060096\"]\n  7 -> 16 [size =\"45060096\"]\n  7 -> 17 [size =\"45060096\"]\n  7 -> 18 [size =\"45060096\"]\n  7 -> 24 [size =\"45060096\"]\n  7 -> 27 [size =\"45060096\"]\n  7 -> 29 [size =\"45060096\"]\n  7 -> 32 [size =\"45060096\"]\n  8 [size=\"126829227\", alpha=\"0.13\", expect_size=\"38048768\"] \n  8 -> 17 [size =\"38048768\"]\n  8 -> 19 [size =\"38048768\"]\n  8 -> 24 [size =\"38048768\"]\n  8 -> 27 [size =\"38048768\"]\n  8 -> 30 [size =\"38048768\"]\n  8 -> 31 [size =\"38048768\"]\n  8 -> 32 [size =\"38048768\"]\n  9 [size=\"85490347\", alpha=\"0.13\", expect_size=\"25647104\"] \n  9 -> 15 [size =\"25647104\"]\n  9 -> 16 [size =\"25647104\"]\n  9 -> 19 [size =\"25647104\"]\n  9 -> 24 [size =\"25647104\"]\n  9 -> 25 [size =\"25647104\"]\n  9 -> 27 [size =\"25647104\"]\n  9 -> 28 [size =\"25647104\"]\n  9 -> 31 [size =\"25647104\"]\n  9 -> 32 [size =\"25647104\"]\n  10 [size=\"166956373\", alpha=\"0.20\", expect_size=\"50086912\"] \n  10 -> 15 [size =\"50086912\"]\n  10 -> 16 [size =\"50086912\"]\n  10 -> 19 [size =\"50086912\"]\n  10 -> 20 [size =\"50086912\"]\n  10 -> 23 [size =\"50086912\"]\n  10 -> 24 [size =\"50086912\"]\n  10 -> 25 [size =\"50086912\"]\n  10 -> 26 [size =\"50086912\"]\n  10 -> 27 [size =\"50086912\"]\n  10 -> 29 [size =\"50086912\"]\n  10 -> 30 [size =\"50086912\"]\n  10 -> 31 [size =\"50086912\"]\n  11 [size=\"41355947\", alpha=\"0.13\", expect_size=\"12406784\"] \n  11 -> 15 [size =\"12406784\"]\n  11 -> 16 [size =\"12406784\"]\n  11 -> 17 [size =\"12406784\"]\n  11 -> 20 [size =\"12406784\"]\n  11 -> 23 [size =\"12406784\"]\n  11 -> 25 [size =\"12406784\"]\n  11 -> 25 [size =\"12406784\"]\n  11 -> 27 [size =\"12406784\"]\n  11 -> 29 [size =\"12406784\"]\n  11 -> 30 [size =\"12406784\"]\n  11 -> 31 [size =\"12406784\"]\n  11 -> 31 [size =\"12406784\"]\n  12 [size=\"94303573\", alpha=\"0.07\", expect_size=\"28291072\"] \n  12 -> 15 [size =\"28291072\"]\n  12 -> 16 [size =\"28291072\"]\n  12 -> 20 [size =\"28291072\"]\n  12 -> 20 [size =\"28291072\"]\n  12 -> 23 [size =\"28291072\"]\n  12 -> 24 [size =\"28291072\"]\n  12 -> 28 [size =\"28291072\"]\n  12 -> 29 [size =\"28291072\"]\n  12 -> 31 [size =\"28291072\"]\n  12 -> 32 [size =\"28291072\"]\n  13 [size=\"112684373\", alpha=\"0.18\", expect_size=\"33805312\"] \n  13 -> 16 [size =\"33805312\"]\n  13 -> 17 [size =\"33805312\"]\n  13 -> 20 [size =\"33805312\"]\n  13 -> 23 [size =\"33805312\"]\n  13 -> 24 [size =\"33805312\"]\n  13 -> 27 [size =\"33805312\"]\n  13 -> 31 [size =\"33805312\"]\n  13 -> 32 [size =\"33805312\"]\n  14 [size=\"106352640\", alpha=\"0.18\", expect_size=\"31905792\"] \n  14 -> 16 [size =\"31905792\"]\n  14 -> 17 [size =\"31905792\"]\n  14 -> 20 [size =\"31905792\"]\n  14 -> 24 [size =\"31905792\"]\n  14 -> 24 [size =\"31905792\"]\n  14 -> 27 [size =\"31905792\"]\n  14 -> 31 [size =\"31905792\"]\n  15 [size=\"107707733\", alpha=\"0.19\", expect_size=\"32312320\"] \n  15 -> 33 [size =\"32312320\"]\n  15 -> 34 [size =\"32312320\"]\n  15 -> 35 [size =\"32312320\"]\n  15 -> 38 [size =\"32312320\"]\n  15 -> 39 [size =\"32312320\"]\n  15 -> 43 [size =\"32312320\"]\n  16 [size=\"100181333\", alpha=\"0.16\", expect_size=\"30054400\"] \n  16 -> 33 [size =\"30054400\"]\n  16 -> 34 [size =\"30054400\"]\n  16 -> 37 [size =\"30054400\"]\n  16 -> 39 [size =\"30054400\"]\n  16 -> 39 [size =\"30054400\"]\n  16 -> 40 [size =\"30054400\"]\n  16 -> 41 [size =\"30054400\"]\n  16 -> 44 [size =\"30054400\"]\n  17 [size=\"135891627\", alpha=\"0.08\", expect_size=\"40767488\"] \n  17 -> 33 [size =\"40767488\"]\n  17 -> 34 [size =\"40767488\"]\n  17 -> 35 [size =\"40767488\"]\n  17 -> 38 [size =\"40767488\"]\n  17 -> 39 [size =\"40767488\"]\n  17 -> 43 [size =\"40767488\"]\n  17 -> 44 [size =\"40767488\"]\n  18 [size=\"62750720\", alpha=\"0.14\", expect_size=\"18825216\"] \n  18 -> 33 [size =\"18825216\"]\n  18 -> 34 [size =\"18825216\"]\n  18 -> 35 [size =\"18825216\"]\n  18 -> 36 [size =\"18825216\"]\n  18 -> 37 [size =\"18825216\"]\n  18 -> 42 [size =\"18825216\"]\n  18 -> 43 [size =\"18825216\"]\n  19 [size=\"161935360\", alpha=\"0.09\", expect_size=\"48580608\"] \n  19 -> 33 [size =\"48580608\"]\n  19 -> 34 [size =\"48580608\"]\n  19 -> 35 [size =\"48580608\"]\n  19 -> 36 [size =\"48580608\"]\n  19 -> 37 [size =\"48580608\"]\n  19 -> 39 [size =\"48580608\"]\n  19 -> 42 [size =\"48580608\"]\n  19 -> 43 [size =\"48580608\"]\n  19 -> 44 [size =\"48580608\"]\n  20 [size=\"104246613\", alpha=\"0.02\", expect_size=\"31273984\"] \n  20 -> 33 [size =\"31273984\"]\n  20 -> 34 [size =\"31273984\"]\n  20 -> 35 [size =\"31273984\"]\n  20 -> 36 [size =\"31273984\"]\n  20 -> 38 [size =\"31273984\"]\n  20 -> 39 [size =\"31273984\"]\n  20 -> 40 [size =\"31273984\"]\n  20 -> 41 [size =\"31273984\"]\n  20 -> 42 [size =\"31273984\"]\n  20 -> 43 [size =\"31273984\"]\n  20 -> 44 [size =\"31273984\"]\n  21 [size=\"103639040\", alpha=\"0.18\", expect_size=\"31091712\"] \n  21 -> 33 [size =\"31091712\"]\n  21 -> 34 [size =\"31091712\"]\n  21 -> 35 [size =\"31091712\"]\n  21 -> 36 [size =\"31091712\"]\n  21 -> 37 [size =\"31091712\"]\n  21 -> 38 [size =\"31091712\"]\n  21 -> 39 [size =\"31091712\"]\n  21 -> 41 [size =\"31091712\"]\n  21 -> 42 [size =\"31091712\"]\n  22 [size=\"48520533\", alpha=\"0.03\", expect_size=\"14556160\"] \n  22 -> 33 [size =\"14556160\"]\n  22 -> 34 [size =\"14556160\"]\n  22 -> 35 [size =\"14556160\"]\n  22 -> 36 [size =\"14556160\"]\n  22 -> 38 [size =\"14556160\"]\n  22 -> 39 [size =\"14556160\"]\n  22 -> 39 [size =\"14556160\"]\n  23 [size=\"105994240\", alpha=\"0.14\", expect_size=\"31798272\"] \n  23 -> 35 [size =\"31798272\"]\n  23 -> 36 [size =\"31798272\"]\n  23 -> 37 [size =\"31798272\"]\n  23 -> 38 [size =\"31798272\"]\n  23 -> 39 [size =\"31798272\"]\n  23 -> 41 [size =\"31798272\"]\n  23 -> 42 [size =\"31798272\"]\n  23 -> 43 [size =\"31798272\"]\n  23 -> 44 [size =\"31798272\"]\n  24 [size=\"86705493\", alpha=\"0.15\", expect_size=\"26011648\"] \n  24 -> 33 [size =\"26011648\"]\n  24 -> 34 [size =\"26011648\"]\n  24 -> 35 [size =\"26011648\"]\n  24 -> 38 [size =\"26011648\"]\n  24 -> 39 [size =\"26011648\"]\n  24 -> 43 [size =\"26011648\"]\n  24 -> 44 [size =\"26011648\"]\n  25 [size=\"71662933\", alpha=\"0.06\", expect_size=\"21498880\"] \n  25 -> 33 [size =\"21498880\"]\n  25 -> 35 [size =\"21498880\"]\n  25 -> 42 [size =\"21498880\"]\n  25 -> 44 [size =\"21498880\"]\n  26 [size=\"67399680\", alpha=\"0.16\", expect_size=\"20219904\"] \n  26 -> 33 [size =\"20219904\"]\n  26 -> 36 [size =\"20219904\"]\n  26 -> 40 [size =\"20219904\"]\n  26 -> 44 [size =\"20219904\"]\n  27 [size=\"37655893\", alpha=\"0.02\", expect_size=\"11296768\"] \n  27 -> 33 [size =\"11296768\"]\n  27 -> 34 [size =\"11296768\"]\n  27 -> 36 [size =\"11296768\"]\n  28 [size=\"100812800\", alpha=\"0.03\", expect_size=\"30243840\"] \n  28 -> 33 [size =\"30243840\"]\n  28 -> 34 [size =\"30243840\"]\n  28 -> 36 [size =\"30243840\"]\n  28 -> 39 [size =\"30243840\"]\n  28 -> 43 [size =\"30243840\"]\n  28 -> 44 [size =\"30243840\"]\n  29 [size=\"50657280\", alpha=\"0.12\", expect_size=\"15197184\"] \n  29 -> 36 [size =\"15197184\"]\n  29 -> 37 [size =\"15197184\"]\n  29 -> 38 [size =\"15197184\"]\n  29 -> 39 [size =\"15197184\"]\n  29 -> 41 [size =\"15197184\"]\n  29 -> 42 [size =\"15197184\"]\n  29 -> 43 [size =\"15197184\"]\n  29 -> 44 [size =\"15197184\"]\n  30 [size=\"124320427\", alpha=\"0.00\", expect_size=\"37296128\"] \n  30 -> 33 [size =\"37296128\"]\n  30 -> 34 [size =\"37296128\"]\n  30 -> 37 [size =\"37296128\"]\n  30 -> 38 [size =\"37296128\"]\n  30 -> 39 [size =\"37296128\"]\n  30 -> 42 [size =\"37296128\"]\n  31 [size=\"140465493\", alpha=\"0.11\", expect_size=\"42139648\"] \n  31 -> 33 [size =\"42139648\"]\n  31 -> 34 [size =\"42139648\"]\n  31 -> 35 [size =\"42139648\"]\n  31 -> 36 [size =\"42139648\"]\n  31 -> 37 [size =\"42139648\"]\n  31 -> 39 [size =\"42139648\"]\n  31 -> 41 [size =\"42139648\"]\n  31 -> 42 [size =\"42139648\"]\n  32 [size=\"128290133\", alpha=\"0.12\", expect_size=\"38487040\"] \n  32 -> 33 [size =\"38487040\"]\n  32 -> 34 [size =\"38487040\"]\n  32 -> 39 [size =\"38487040\"]\n  32 -> 41 [size =\"38487040\"]\n  32 -> 43 [size =\"38487040\"]\n  32 -> 44 [size =\"38487040\"]\n  33 [size=\"154135893\", alpha=\"0.05\", expect_size=\"46240768\"] \n  33 -> 45 [size =\"46240768\"]\n  34 [size=\"106980693\", alpha=\"0.10\", expect_size=\"32094208\"] \n  34 -> 45 [size =\"32094208\"]\n  35 [size=\"67945813\", alpha=\"0.06\", expect_size=\"20383744\"] \n  35 -> 45 [size =\"20383744\"]\n  36 [size=\"114756267\", alpha=\"0.12\", expect_size=\"34426880\"] \n  36 -> 45 [size =\"34426880\"]\n  37 [size=\"80834560\", alpha=\"0.13\", expect_size=\"24250368\"] \n  37 -> 45 [size =\"24250368\"]\n  38 [size=\"98914987\", alpha=\"0.01\", expect_size=\"29674496\"] \n  39 [size=\"121060693\", alpha=\"0.06\", expect_size=\"36318208\"] \n  40 [size=\"58002773\", alpha=\"0.03\", expect_size=\"17400832\"] \n  40 -> 45 [size =\"17400832\"]\n  41 [size=\"59221333\", alpha=\"0.10\", expect_size=\"17766400\"] \n  42 [size=\"148599467\", alpha=\"0.02\", expect_size=\"44579840\"] \n  42 -> 45 [size =\"44579840\"]\n  43 [size=\"88395093\", alpha=\"0.05\", expect_size=\"26518528\"] \n  44 [size=\"131099307\", alpha=\"0.16\", expect_size=\"39329792\"] \n  44 -> 45 [size =\"39329792\"]\n  45 [size=\"51019093\", alpha=\"0.15\", expect_size=\"15305728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91246080\", alpha=\"0.10\", expect_size=\"36498432\"] \n  1 -> 2 [size =\"36498432\"]\n  2 [size=\"104023040\", alpha=\"0.06\", expect_size=\"41609216\"] \n  2 -> 3 [size =\"41609216\"]\n  3 [size=\"44584960\", alpha=\"0.11\", expect_size=\"17833984\"] \n  3 -> 4 [size =\"17833984\"]\n  4 [size=\"26764800\", alpha=\"0.05\", expect_size=\"10705920\"] \n  4 -> 5 [size =\"10705920\"]\n  5 [size=\"111495680\", alpha=\"0.07\", expect_size=\"44598272\"] \n  5 -> 6 [size =\"44598272\"]\n  6 [size=\"45176320\", alpha=\"0.05\", expect_size=\"18070528\"] \n  6 -> 7 [size =\"18070528\"]\n  7 [size=\"58818560\", alpha=\"0.10\", expect_size=\"23527424\"] \n  7 -> 8 [size =\"23527424\"]\n  8 [size=\"20449280\", alpha=\"0.06\", expect_size=\"8179712\"] \n  8 -> 9 [size =\"8179712\"]\n  9 [size=\"102223360\", alpha=\"0.07\", expect_size=\"40889344\"] \n  9 -> 10 [size =\"40889344\"]\n  10 [size=\"103907840\", alpha=\"0.15\", expect_size=\"41563136\"] \n  10 -> 11 [size =\"41563136\"]\n  11 [size=\"120793600\", alpha=\"0.01\", expect_size=\"48317440\"] \n  11 -> 12 [size =\"48317440\"]\n  12 [size=\"63239680\", alpha=\"0.04\", expect_size=\"25295872\"] \n  12 -> 13 [size =\"25295872\"]\n  13 [size=\"97536000\", alpha=\"0.04\", expect_size=\"39014400\"] \n  13 -> 14 [size =\"39014400\"]\n  14 [size=\"45286400\", alpha=\"0.04\", expect_size=\"18114560\"] \n  14 -> 15 [size =\"18114560\"]\n  15 [size=\"72560640\", alpha=\"0.05\", expect_size=\"29024256\"] \n  15 -> 16 [size =\"29024256\"]\n  16 [size=\"116567040\", alpha=\"0.04\", expect_size=\"46626816\"] \n  16 -> 17 [size =\"46626816\"]\n  17 [size=\"28602880\", alpha=\"0.01\", expect_size=\"11441152\"] \n  17 -> 18 [size =\"11441152\"]\n  18 [size=\"85578240\", alpha=\"0.16\", expect_size=\"34231296\"] \n  18 -> 19 [size =\"34231296\"]\n  19 [size=\"118266880\", alpha=\"0.18\", expect_size=\"47306752\"] \n  19 -> 20 [size =\"47306752\"]\n  20 [size=\"43409920\", alpha=\"0.02\", expect_size=\"17363968\"] \n  20 -> 21 [size =\"17363968\"]\n  21 [size=\"129013760\", alpha=\"0.00\", expect_size=\"51605504\"] \n  21 -> 22 [size =\"51605504\"]\n  22 [size=\"14013440\", alpha=\"0.13\", expect_size=\"5605376\"] \n  22 -> 23 [size =\"5605376\"]\n  23 [size=\"34849280\", alpha=\"0.12\", expect_size=\"13939712\"] \n  23 -> 24 [size =\"13939712\"]\n  24 [size=\"56048640\", alpha=\"0.12\", expect_size=\"22419456\"] \n  24 -> 25 [size =\"22419456\"]\n  25 [size=\"79165440\", alpha=\"0.10\", expect_size=\"31666176\"] \n  25 -> 26 [size =\"31666176\"]\n  26 [size=\"109399040\", alpha=\"0.13\", expect_size=\"43759616\"] \n  26 -> 27 [size =\"43759616\"]\n  27 [size=\"16025600\", alpha=\"0.04\", expect_size=\"6410240\"] \n  27 -> 28 [size =\"6410240\"]\n  28 [size=\"19033600\", alpha=\"0.15\", expect_size=\"7613440\"] \n  28 -> 29 [size =\"7613440\"]\n  29 [size=\"114350080\", alpha=\"0.02\", expect_size=\"45740032\"] \n  29 -> 30 [size =\"45740032\"]\n  30 [size=\"101324800\", alpha=\"0.05\", expect_size=\"40529920\"] \n  30 -> 31 [size =\"40529920\"]\n  31 [size=\"114762240\", alpha=\"0.06\", expect_size=\"45904896\"] \n  31 -> 32 [size =\"45904896\"]\n  32 [size=\"114836480\", alpha=\"0.15\", expect_size=\"45934592\"] \n  32 -> 33 [size =\"45934592\"]\n  33 [size=\"74501120\", alpha=\"0.18\", expect_size=\"29800448\"] \n  33 -> 34 [size =\"29800448\"]\n  34 [size=\"25231360\", alpha=\"0.07\", expect_size=\"10092544\"] \n  34 -> 35 [size =\"10092544\"]\n  35 [size=\"98657280\", alpha=\"0.06\", expect_size=\"39462912\"] \n  35 -> 36 [size =\"39462912\"]\n  36 [size=\"39272960\", alpha=\"0.03\", expect_size=\"15709184\"] \n  36 -> 37 [size =\"15709184\"]\n  37 [size=\"115077120\", alpha=\"0.02\", expect_size=\"46030848\"] \n  37 -> 38 [size =\"46030848\"]\n  38 [size=\"17889280\", alpha=\"0.13\", expect_size=\"7155712\"] \n  38 -> 39 [size =\"7155712\"]\n  39 [size=\"108951040\", alpha=\"0.03\", expect_size=\"43580416\"] \n  39 -> 40 [size =\"43580416\"]\n  40 [size=\"123481600\", alpha=\"0.17\", expect_size=\"49392640\"] \n  40 -> 41 [size =\"49392640\"]\n  41 [size=\"34324480\", alpha=\"0.11\", expect_size=\"13729792\"] \n  41 -> 42 [size =\"13729792\"]\n  42 [size=\"67125760\", alpha=\"0.06\", expect_size=\"26850304\"] \n  42 -> 43 [size =\"26850304\"]\n  43 [size=\"36090880\", alpha=\"0.04\", expect_size=\"14436352\"] \n  43 -> 44 [size =\"14436352\"]\n  44 [size=\"25651200\", alpha=\"0.09\", expect_size=\"10260480\"] \n  44 -> 45 [size =\"10260480\"]\n  45 [size=\"67988480\", alpha=\"0.05\", expect_size=\"27195392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122383360\", alpha=\"0.06\", expect_size=\"48953344\"] \n  1 -> 16 [size =\"48953344\"]\n  1 -> 23 [size =\"48953344\"]\n  1 -> 29 [size =\"48953344\"]\n  2 [size=\"84782080\", alpha=\"0.09\", expect_size=\"33912832\"] \n  2 -> 16 [size =\"33912832\"]\n  2 -> 17 [size =\"33912832\"]\n  2 -> 18 [size =\"33912832\"]\n  2 -> 27 [size =\"33912832\"]\n  2 -> 29 [size =\"33912832\"]\n  3 [size=\"112076800\", alpha=\"0.11\", expect_size=\"44830720\"] \n  3 -> 21 [size =\"44830720\"]\n  3 -> 24 [size =\"44830720\"]\n  3 -> 26 [size =\"44830720\"]\n  3 -> 29 [size =\"44830720\"]\n  4 [size=\"40389120\", alpha=\"0.07\", expect_size=\"16155648\"] \n  4 -> 16 [size =\"16155648\"]\n  5 [size=\"99320320\", alpha=\"0.05\", expect_size=\"39728128\"] \n  5 -> 21 [size =\"39728128\"]\n  5 -> 22 [size =\"39728128\"]\n  5 -> 27 [size =\"39728128\"]\n  5 -> 29 [size =\"39728128\"]\n  6 [size=\"24993280\", alpha=\"0.19\", expect_size=\"9997312\"] \n  6 -> 16 [size =\"9997312\"]\n  6 -> 18 [size =\"9997312\"]\n  6 -> 19 [size =\"9997312\"]\n  6 -> 22 [size =\"9997312\"]\n  6 -> 24 [size =\"9997312\"]\n  6 -> 27 [size =\"9997312\"]\n  6 -> 29 [size =\"9997312\"]\n  7 [size=\"33167360\", alpha=\"0.09\", expect_size=\"13266944\"] \n  7 -> 19 [size =\"13266944\"]\n  7 -> 20 [size =\"13266944\"]\n  7 -> 27 [size =\"13266944\"]\n  8 [size=\"28487680\", alpha=\"0.09\", expect_size=\"11395072\"] \n  8 -> 19 [size =\"11395072\"]\n  8 -> 23 [size =\"11395072\"]\n  9 [size=\"110295040\", alpha=\"0.12\", expect_size=\"44118016\"] \n  10 [size=\"105024000\", alpha=\"0.14\", expect_size=\"42009600\"] \n  10 -> 17 [size =\"42009600\"]\n  10 -> 23 [size =\"42009600\"]\n  10 -> 29 [size =\"42009600\"]\n  11 [size=\"44428800\", alpha=\"0.15\", expect_size=\"17771520\"] \n  11 -> 17 [size =\"17771520\"]\n  11 -> 19 [size =\"17771520\"]\n  11 -> 26 [size =\"17771520\"]\n  11 -> 27 [size =\"17771520\"]\n  12 [size=\"78156800\", alpha=\"0.03\", expect_size=\"31262720\"] \n  12 -> 16 [size =\"31262720\"]\n  12 -> 22 [size =\"31262720\"]\n  12 -> 23 [size =\"31262720\"]\n  12 -> 25 [size =\"31262720\"]\n  12 -> 28 [size =\"31262720\"]\n  13 [size=\"14632960\", alpha=\"0.07\", expect_size=\"5853184\"] \n  13 -> 17 [size =\"5853184\"]\n  13 -> 19 [size =\"5853184\"]\n  13 -> 21 [size =\"5853184\"]\n  13 -> 22 [size =\"5853184\"]\n  13 -> 23 [size =\"5853184\"]\n  13 -> 24 [size =\"5853184\"]\n  13 -> 27 [size =\"5853184\"]\n  14 [size=\"82096640\", alpha=\"0.07\", expect_size=\"32838656\"] \n  14 -> 22 [size =\"32838656\"]\n  14 -> 27 [size =\"32838656\"]\n  15 [size=\"123991040\", alpha=\"0.09\", expect_size=\"49596416\"] \n  15 -> 19 [size =\"49596416\"]\n  15 -> 29 [size =\"49596416\"]\n  16 [size=\"33676800\", alpha=\"0.02\", expect_size=\"13470720\"] \n  16 -> 35 [size =\"13470720\"]\n  16 -> 41 [size =\"13470720\"]\n  17 [size=\"28359680\", alpha=\"0.14\", expect_size=\"11343872\"] \n  17 -> 34 [size =\"11343872\"]\n  17 -> 35 [size =\"11343872\"]\n  17 -> 37 [size =\"11343872\"]\n  17 -> 41 [size =\"11343872\"]\n  18 [size=\"83343360\", alpha=\"0.06\", expect_size=\"33337344\"] \n  18 -> 36 [size =\"33337344\"]\n  18 -> 37 [size =\"33337344\"]\n  18 -> 39 [size =\"33337344\"]\n  19 [size=\"15795200\", alpha=\"0.08\", expect_size=\"6318080\"] \n  19 -> 31 [size =\"6318080\"]\n  19 -> 32 [size =\"6318080\"]\n  20 [size=\"88281600\", alpha=\"0.19\", expect_size=\"35312640\"] \n  20 -> 35 [size =\"35312640\"]\n  20 -> 37 [size =\"35312640\"]\n  20 -> 38 [size =\"35312640\"]\n  21 [size=\"51786240\", alpha=\"0.09\", expect_size=\"20714496\"] \n  21 -> 38 [size =\"20714496\"]\n  22 [size=\"19998720\", alpha=\"0.11\", expect_size=\"7999488\"] \n  22 -> 30 [size =\"7999488\"]\n  22 -> 31 [size =\"7999488\"]\n  22 -> 38 [size =\"7999488\"]\n  22 -> 39 [size =\"7999488\"]\n  22 -> 40 [size =\"7999488\"]\n  23 [size=\"40314880\", alpha=\"0.09\", expect_size=\"16125952\"] \n  23 -> 35 [size =\"16125952\"]\n  24 [size=\"80007680\", alpha=\"0.13\", expect_size=\"32003072\"] \n  24 -> 31 [size =\"32003072\"]\n  24 -> 32 [size =\"32003072\"]\n  24 -> 34 [size =\"32003072\"]\n  24 -> 37 [size =\"32003072\"]\n  24 -> 39 [size =\"32003072\"]\n  25 [size=\"119605760\", alpha=\"0.11\", expect_size=\"47842304\"] \n  25 -> 30 [size =\"47842304\"]\n  25 -> 34 [size =\"47842304\"]\n  25 -> 35 [size =\"47842304\"]\n  25 -> 36 [size =\"47842304\"]\n  25 -> 37 [size =\"47842304\"]\n  25 -> 40 [size =\"47842304\"]\n  25 -> 41 [size =\"47842304\"]\n  26 [size=\"56893440\", alpha=\"0.10\", expect_size=\"22757376\"] \n  26 -> 31 [size =\"22757376\"]\n  26 -> 39 [size =\"22757376\"]\n  26 -> 41 [size =\"22757376\"]\n  27 [size=\"69222400\", alpha=\"0.14\", expect_size=\"27688960\"] \n  27 -> 31 [size =\"27688960\"]\n  28 [size=\"32704000\", alpha=\"0.20\", expect_size=\"13081600\"] \n  28 -> 33 [size =\"13081600\"]\n  29 [size=\"70730240\", alpha=\"0.02\", expect_size=\"28292096\"] \n  29 -> 30 [size =\"28292096\"]\n  29 -> 37 [size =\"28292096\"]\n  29 -> 38 [size =\"28292096\"]\n  29 -> 39 [size =\"28292096\"]\n  30 [size=\"115706880\", alpha=\"0.00\", expect_size=\"46282752\"] \n  30 -> 43 [size =\"46282752\"]\n  30 -> 44 [size =\"46282752\"]\n  31 [size=\"109032960\", alpha=\"0.04\", expect_size=\"43613184\"] \n  31 -> 43 [size =\"43613184\"]\n  32 [size=\"42022400\", alpha=\"0.18\", expect_size=\"16808960\"] \n  32 -> 43 [size =\"16808960\"]\n  33 [size=\"104314880\", alpha=\"0.13\", expect_size=\"41725952\"] \n  33 -> 44 [size =\"41725952\"]\n  34 [size=\"40988160\", alpha=\"0.19\", expect_size=\"16395264\"] \n  34 -> 42 [size =\"16395264\"]\n  34 -> 43 [size =\"16395264\"]\n  35 [size=\"115253760\", alpha=\"0.04\", expect_size=\"46101504\"] \n  35 -> 43 [size =\"46101504\"]\n  35 -> 45 [size =\"46101504\"]\n  36 [size=\"59430400\", alpha=\"0.13\", expect_size=\"23772160\"] \n  36 -> 43 [size =\"23772160\"]\n  37 [size=\"121333760\", alpha=\"0.04\", expect_size=\"48533504\"] \n  38 [size=\"85094400\", alpha=\"0.07\", expect_size=\"34037760\"] \n  39 [size=\"84062720\", alpha=\"0.11\", expect_size=\"33625088\"] \n  40 [size=\"97454080\", alpha=\"0.07\", expect_size=\"38981632\"] \n  40 -> 44 [size =\"38981632\"]\n  41 [size=\"99228160\", alpha=\"0.10\", expect_size=\"39691264\"] \n  42 [size=\"120704000\", alpha=\"0.14\", expect_size=\"48281600\"] \n  43 [size=\"108968960\", alpha=\"0.02\", expect_size=\"43587584\"] \n  44 [size=\"65551360\", alpha=\"0.02\", expect_size=\"26220544\"] \n  45 [size=\"59440640\", alpha=\"0.00\", expect_size=\"23776256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31132160\", alpha=\"0.08\", expect_size=\"12452864\"] \n  1 -> 4 [size =\"12452864\"]\n  1 -> 5 [size =\"12452864\"]\n  2 [size=\"104000000\", alpha=\"0.01\", expect_size=\"41600000\"] \n  2 -> 5 [size =\"41600000\"]\n  2 -> 6 [size =\"41600000\"]\n  3 [size=\"50306560\", alpha=\"0.11\", expect_size=\"20122624\"] \n  3 -> 4 [size =\"20122624\"]\n  3 -> 5 [size =\"20122624\"]\n  3 -> 6 [size =\"20122624\"]\n  4 [size=\"76288000\", alpha=\"0.10\", expect_size=\"30515200\"] \n  4 -> 7 [size =\"30515200\"]\n  4 -> 8 [size =\"30515200\"]\n  5 [size=\"32793600\", alpha=\"0.03\", expect_size=\"13117440\"] \n  5 -> 7 [size =\"13117440\"]\n  5 -> 8 [size =\"13117440\"]\n  6 [size=\"130068480\", alpha=\"0.15\", expect_size=\"52027392\"] \n  6 -> 8 [size =\"52027392\"]\n  6 -> 9 [size =\"52027392\"]\n  7 [size=\"46131200\", alpha=\"0.15\", expect_size=\"18452480\"] \n  7 -> 10 [size =\"18452480\"]\n  8 [size=\"68579840\", alpha=\"0.08\", expect_size=\"27431936\"] \n  8 -> 10 [size =\"27431936\"]\n  8 -> 12 [size =\"27431936\"]\n  9 [size=\"109734400\", alpha=\"0.05\", expect_size=\"43893760\"] \n  9 -> 11 [size =\"43893760\"]\n  10 [size=\"88944640\", alpha=\"0.00\", expect_size=\"35577856\"] \n  10 -> 13 [size =\"35577856\"]\n  11 [size=\"39470080\", alpha=\"0.13\", expect_size=\"15788032\"] \n  11 -> 13 [size =\"15788032\"]\n  11 -> 14 [size =\"15788032\"]\n  12 [size=\"87618560\", alpha=\"0.04\", expect_size=\"35047424\"] \n  12 -> 13 [size =\"35047424\"]\n  12 -> 14 [size =\"35047424\"]\n  13 [size=\"94231040\", alpha=\"0.02\", expect_size=\"37692416\"] \n  13 -> 15 [size =\"37692416\"]\n  13 -> 16 [size =\"37692416\"]\n  13 -> 17 [size =\"37692416\"]\n  14 [size=\"42964480\", alpha=\"0.08\", expect_size=\"17185792\"] \n  14 -> 15 [size =\"17185792\"]\n  14 -> 17 [size =\"17185792\"]\n  15 [size=\"99671040\", alpha=\"0.14\", expect_size=\"39868416\"] \n  16 [size=\"117050880\", alpha=\"0.14\", expect_size=\"46820352\"] \n  16 -> 18 [size =\"46820352\"]\n  17 [size=\"89630720\", alpha=\"0.14\", expect_size=\"35852288\"] \n  17 -> 18 [size =\"35852288\"]\n  17 -> 19 [size =\"35852288\"]\n  18 [size=\"62279680\", alpha=\"0.14\", expect_size=\"24911872\"] \n  18 -> 21 [size =\"24911872\"]\n  19 [size=\"108346880\", alpha=\"0.15\", expect_size=\"43338752\"] \n  19 -> 20 [size =\"43338752\"]\n  20 [size=\"20500480\", alpha=\"0.04\", expect_size=\"8200192\"] \n  20 -> 22 [size =\"8200192\"]\n  21 [size=\"22686720\", alpha=\"0.17\", expect_size=\"9074688\"] \n  21 -> 23 [size =\"9074688\"]\n  22 [size=\"96611840\", alpha=\"0.05\", expect_size=\"38644736\"] \n  22 -> 24 [size =\"38644736\"]\n  22 -> 25 [size =\"38644736\"]\n  22 -> 26 [size =\"38644736\"]\n  23 [size=\"117324800\", alpha=\"0.20\", expect_size=\"46929920\"] \n  23 -> 25 [size =\"46929920\"]\n  23 -> 26 [size =\"46929920\"]\n  24 [size=\"127270400\", alpha=\"0.05\", expect_size=\"50908160\"] \n  25 [size=\"54576640\", alpha=\"0.14\", expect_size=\"21830656\"] \n  25 -> 27 [size =\"21830656\"]\n  25 -> 28 [size =\"21830656\"]\n  26 [size=\"20195840\", alpha=\"0.02\", expect_size=\"8078336\"] \n  27 [size=\"104115200\", alpha=\"0.16\", expect_size=\"41646080\"] \n  27 -> 29 [size =\"41646080\"]\n  27 -> 30 [size =\"41646080\"]\n  27 -> 31 [size =\"41646080\"]\n  28 [size=\"67768320\", alpha=\"0.19\", expect_size=\"27107328\"] \n  28 -> 30 [size =\"27107328\"]\n  29 [size=\"34764800\", alpha=\"0.19\", expect_size=\"13905920\"] \n  29 -> 32 [size =\"13905920\"]\n  29 -> 34 [size =\"13905920\"]\n  30 [size=\"121000960\", alpha=\"0.12\", expect_size=\"48400384\"] \n  30 -> 34 [size =\"48400384\"]\n  31 [size=\"28666880\", alpha=\"0.09\", expect_size=\"11466752\"] \n  31 -> 32 [size =\"11466752\"]\n  31 -> 33 [size =\"11466752\"]\n  32 [size=\"129684480\", alpha=\"0.19\", expect_size=\"51873792\"] \n  32 -> 37 [size =\"51873792\"]\n  33 [size=\"43092480\", alpha=\"0.02\", expect_size=\"17236992\"] \n  33 -> 35 [size =\"17236992\"]\n  33 -> 36 [size =\"17236992\"]\n  34 [size=\"42019840\", alpha=\"0.11\", expect_size=\"16807936\"] \n  34 -> 35 [size =\"16807936\"]\n  34 -> 37 [size =\"16807936\"]\n  35 [size=\"71682560\", alpha=\"0.14\", expect_size=\"28673024\"] \n  35 -> 38 [size =\"28673024\"]\n  35 -> 39 [size =\"28673024\"]\n  36 [size=\"33804800\", alpha=\"0.15\", expect_size=\"13521920\"] \n  36 -> 39 [size =\"13521920\"]\n  37 [size=\"45352960\", alpha=\"0.08\", expect_size=\"18141184\"] \n  38 [size=\"21381120\", alpha=\"0.11\", expect_size=\"8552448\"] \n  38 -> 40 [size =\"8552448\"]\n  38 -> 41 [size =\"8552448\"]\n  39 [size=\"17367040\", alpha=\"0.09\", expect_size=\"6946816\"] \n  39 -> 40 [size =\"6946816\"]\n  39 -> 41 [size =\"6946816\"]\n  39 -> 42 [size =\"6946816\"]\n  40 [size=\"129940480\", alpha=\"0.08\", expect_size=\"51976192\"] \n  41 [size=\"81047040\", alpha=\"0.10\", expect_size=\"32418816\"] \n  41 -> 43 [size =\"32418816\"]\n  41 -> 44 [size =\"32418816\"]\n  41 -> 45 [size =\"32418816\"]\n  42 [size=\"15014400\", alpha=\"0.05\", expect_size=\"6005760\"] \n  43 [size=\"124321280\", alpha=\"0.18\", expect_size=\"49728512\"] \n  44 [size=\"18234880\", alpha=\"0.10\", expect_size=\"7293952\"] \n  45 [size=\"80504320\", alpha=\"0.10\", expect_size=\"32201728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76115968\", alpha=\"0.03\", expect_size=\"38057984\"] \n  1 -> 2 [size =\"38057984\"]\n  2 [size=\"46284800\", alpha=\"0.08\", expect_size=\"23142400\"] \n  2 -> 3 [size =\"23142400\"]\n  3 [size=\"85774336\", alpha=\"0.07\", expect_size=\"42887168\"] \n  3 -> 4 [size =\"42887168\"]\n  4 [size=\"44398592\", alpha=\"0.07\", expect_size=\"22199296\"] \n  4 -> 5 [size =\"22199296\"]\n  5 [size=\"87814144\", alpha=\"0.11\", expect_size=\"43907072\"] \n  5 -> 6 [size =\"43907072\"]\n  6 [size=\"69001216\", alpha=\"0.02\", expect_size=\"34500608\"] \n  6 -> 7 [size =\"34500608\"]\n  7 [size=\"17358848\", alpha=\"0.08\", expect_size=\"8679424\"] \n  7 -> 8 [size =\"8679424\"]\n  8 [size=\"27832320\", alpha=\"0.19\", expect_size=\"13916160\"] \n  8 -> 9 [size =\"13916160\"]\n  9 [size=\"64954368\", alpha=\"0.16\", expect_size=\"32477184\"] \n  9 -> 10 [size =\"32477184\"]\n  10 [size=\"89833472\", alpha=\"0.16\", expect_size=\"44916736\"] \n  10 -> 11 [size =\"44916736\"]\n  11 [size=\"60940288\", alpha=\"0.20\", expect_size=\"30470144\"] \n  11 -> 12 [size =\"30470144\"]\n  12 [size=\"74262528\", alpha=\"0.04\", expect_size=\"37131264\"] \n  12 -> 13 [size =\"37131264\"]\n  13 [size=\"15484928\", alpha=\"0.11\", expect_size=\"7742464\"] \n  13 -> 14 [size =\"7742464\"]\n  14 [size=\"47933440\", alpha=\"0.05\", expect_size=\"23966720\"] \n  14 -> 15 [size =\"23966720\"]\n  15 [size=\"83202048\", alpha=\"0.13\", expect_size=\"41601024\"] \n  15 -> 16 [size =\"41601024\"]\n  16 [size=\"40396800\", alpha=\"0.13\", expect_size=\"20198400\"] \n  16 -> 17 [size =\"20198400\"]\n  17 [size=\"50173952\", alpha=\"0.09\", expect_size=\"25086976\"] \n  17 -> 18 [size =\"25086976\"]\n  18 [size=\"90046464\", alpha=\"0.01\", expect_size=\"45023232\"] \n  18 -> 19 [size =\"45023232\"]\n  19 [size=\"86798336\", alpha=\"0.02\", expect_size=\"43399168\"] \n  19 -> 20 [size =\"43399168\"]\n  20 [size=\"68118528\", alpha=\"0.17\", expect_size=\"34059264\"] \n  20 -> 21 [size =\"34059264\"]\n  21 [size=\"49993728\", alpha=\"0.06\", expect_size=\"24996864\"] \n  21 -> 22 [size =\"24996864\"]\n  22 [size=\"49864704\", alpha=\"0.02\", expect_size=\"24932352\"] \n  22 -> 23 [size =\"24932352\"]\n  23 [size=\"67475456\", alpha=\"0.15\", expect_size=\"33737728\"] \n  23 -> 24 [size =\"33737728\"]\n  24 [size=\"23611392\", alpha=\"0.14\", expect_size=\"11805696\"] \n  24 -> 25 [size =\"11805696\"]\n  25 [size=\"47726592\", alpha=\"0.10\", expect_size=\"23863296\"] \n  25 -> 26 [size =\"23863296\"]\n  26 [size=\"16662528\", alpha=\"0.19\", expect_size=\"8331264\"] \n  26 -> 27 [size =\"8331264\"]\n  27 [size=\"77830144\", alpha=\"0.09\", expect_size=\"38915072\"] \n  27 -> 28 [size =\"38915072\"]\n  28 [size=\"27985920\", alpha=\"0.02\", expect_size=\"13992960\"] \n  28 -> 29 [size =\"13992960\"]\n  29 [size=\"33847296\", alpha=\"0.07\", expect_size=\"16923648\"] \n  29 -> 30 [size =\"16923648\"]\n  30 [size=\"41326592\", alpha=\"0.09\", expect_size=\"20663296\"] \n  30 -> 31 [size =\"20663296\"]\n  31 [size=\"25382912\", alpha=\"0.02\", expect_size=\"12691456\"] \n  31 -> 32 [size =\"12691456\"]\n  32 [size=\"51652608\", alpha=\"0.08\", expect_size=\"25826304\"] \n  32 -> 33 [size =\"25826304\"]\n  33 [size=\"61558784\", alpha=\"0.15\", expect_size=\"30779392\"] \n  33 -> 34 [size =\"30779392\"]\n  34 [size=\"36022272\", alpha=\"0.11\", expect_size=\"18011136\"] \n  34 -> 35 [size =\"18011136\"]\n  35 [size=\"103331840\", alpha=\"0.01\", expect_size=\"51665920\"] \n  35 -> 36 [size =\"51665920\"]\n  36 [size=\"57700352\", alpha=\"0.18\", expect_size=\"28850176\"] \n  36 -> 37 [size =\"28850176\"]\n  37 [size=\"52013056\", alpha=\"0.03\", expect_size=\"26006528\"] \n  37 -> 38 [size =\"26006528\"]\n  38 [size=\"93149184\", alpha=\"0.06\", expect_size=\"46574592\"] \n  38 -> 39 [size =\"46574592\"]\n  39 [size=\"104081408\", alpha=\"0.04\", expect_size=\"52040704\"] \n  39 -> 40 [size =\"52040704\"]\n  40 [size=\"44908544\", alpha=\"0.15\", expect_size=\"22454272\"] \n  40 -> 41 [size =\"22454272\"]\n  41 [size=\"89352192\", alpha=\"0.14\", expect_size=\"44676096\"] \n  41 -> 42 [size =\"44676096\"]\n  42 [size=\"99121152\", alpha=\"0.01\", expect_size=\"49560576\"] \n  42 -> 43 [size =\"49560576\"]\n  43 [size=\"43624448\", alpha=\"0.00\", expect_size=\"21812224\"] \n  43 -> 44 [size =\"21812224\"]\n  44 [size=\"22233088\", alpha=\"0.02\", expect_size=\"11116544\"] \n  44 -> 45 [size =\"11116544\"]\n  45 [size=\"72394752\", alpha=\"0.12\", expect_size=\"36197376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78909440\", alpha=\"0.11\", expect_size=\"23672832\"] \n  1 -> 34 [size =\"23672832\"]\n  1 -> 35 [size =\"23672832\"]\n  1 -> 36 [size =\"23672832\"]\n  1 -> 38 [size =\"23672832\"]\n  1 -> 39 [size =\"23672832\"]\n  1 -> 41 [size =\"23672832\"]\n  1 -> 44 [size =\"23672832\"]\n  1 -> 45 [size =\"23672832\"]\n  2 [size=\"74601813\", alpha=\"0.08\", expect_size=\"22380544\"] \n  2 -> 33 [size =\"22380544\"]\n  2 -> 35 [size =\"22380544\"]\n  2 -> 36 [size =\"22380544\"]\n  2 -> 38 [size =\"22380544\"]\n  2 -> 43 [size =\"22380544\"]\n  2 -> 45 [size =\"22380544\"]\n  3 [size=\"60368213\", alpha=\"0.18\", expect_size=\"18110464\"] \n  3 -> 33 [size =\"18110464\"]\n  3 -> 35 [size =\"18110464\"]\n  3 -> 39 [size =\"18110464\"]\n  3 -> 40 [size =\"18110464\"]\n  3 -> 41 [size =\"18110464\"]\n  3 -> 44 [size =\"18110464\"]\n  4 [size=\"38471680\", alpha=\"0.11\", expect_size=\"11541504\"] \n  4 -> 33 [size =\"11541504\"]\n  4 -> 34 [size =\"11541504\"]\n  4 -> 40 [size =\"11541504\"]\n  4 -> 44 [size =\"11541504\"]\n  5 [size=\"87671467\", alpha=\"0.16\", expect_size=\"26301440\"] \n  5 -> 33 [size =\"26301440\"]\n  5 -> 36 [size =\"26301440\"]\n  5 -> 39 [size =\"26301440\"]\n  5 -> 45 [size =\"26301440\"]\n  6 [size=\"129993387\", alpha=\"0.01\", expect_size=\"38998016\"] \n  6 -> 33 [size =\"38998016\"]\n  6 -> 34 [size =\"38998016\"]\n  6 -> 36 [size =\"38998016\"]\n  6 -> 37 [size =\"38998016\"]\n  6 -> 38 [size =\"38998016\"]\n  6 -> 39 [size =\"38998016\"]\n  6 -> 41 [size =\"38998016\"]\n  7 [size=\"106635947\", alpha=\"0.08\", expect_size=\"31990784\"] \n  7 -> 33 [size =\"31990784\"]\n  7 -> 35 [size =\"31990784\"]\n  7 -> 37 [size =\"31990784\"]\n  7 -> 38 [size =\"31990784\"]\n  7 -> 39 [size =\"31990784\"]\n  8 [size=\"144636587\", alpha=\"0.10\", expect_size=\"43390976\"] \n  8 -> 33 [size =\"43390976\"]\n  8 -> 36 [size =\"43390976\"]\n  8 -> 37 [size =\"43390976\"]\n  8 -> 41 [size =\"43390976\"]\n  9 [size=\"78107307\", alpha=\"0.17\", expect_size=\"23432192\"] \n  9 -> 33 [size =\"23432192\"]\n  9 -> 36 [size =\"23432192\"]\n  9 -> 37 [size =\"23432192\"]\n  9 -> 39 [size =\"23432192\"]\n  9 -> 40 [size =\"23432192\"]\n  9 -> 43 [size =\"23432192\"]\n  9 -> 45 [size =\"23432192\"]\n  10 [size=\"86022827\", alpha=\"0.09\", expect_size=\"25806848\"] \n  10 -> 35 [size =\"25806848\"]\n  10 -> 37 [size =\"25806848\"]\n  10 -> 43 [size =\"25806848\"]\n  10 -> 44 [size =\"25806848\"]\n  11 [size=\"161563307\", alpha=\"0.08\", expect_size=\"48468992\"] \n  11 -> 45 [size =\"48468992\"]\n  12 [size=\"87439360\", alpha=\"0.07\", expect_size=\"26231808\"] \n  12 -> 33 [size =\"26231808\"]\n  12 -> 43 [size =\"26231808\"]\n  12 -> 44 [size =\"26231808\"]\n  12 -> 45 [size =\"26231808\"]\n  13 [size=\"146503680\", alpha=\"0.06\", expect_size=\"43951104\"] \n  13 -> 34 [size =\"43951104\"]\n  13 -> 35 [size =\"43951104\"]\n  13 -> 37 [size =\"43951104\"]\n  13 -> 41 [size =\"43951104\"]\n  13 -> 43 [size =\"43951104\"]\n  13 -> 45 [size =\"43951104\"]\n  14 [size=\"129675947\", alpha=\"0.05\", expect_size=\"38902784\"] \n  14 -> 33 [size =\"38902784\"]\n  14 -> 34 [size =\"38902784\"]\n  14 -> 36 [size =\"38902784\"]\n  14 -> 38 [size =\"38902784\"]\n  14 -> 40 [size =\"38902784\"]\n  14 -> 41 [size =\"38902784\"]\n  14 -> 43 [size =\"38902784\"]\n  14 -> 45 [size =\"38902784\"]\n  15 [size=\"57088000\", alpha=\"0.18\", expect_size=\"17126400\"] \n  15 -> 33 [size =\"17126400\"]\n  15 -> 39 [size =\"17126400\"]\n  15 -> 40 [size =\"17126400\"]\n  15 -> 41 [size =\"17126400\"]\n  15 -> 45 [size =\"17126400\"]\n  16 [size=\"28197547\", alpha=\"0.05\", expect_size=\"8459264\"] \n  16 -> 33 [size =\"8459264\"]\n  16 -> 39 [size =\"8459264\"]\n  16 -> 41 [size =\"8459264\"]\n  16 -> 41 [size =\"8459264\"]\n  16 -> 45 [size =\"8459264\"]\n  17 [size=\"38693547\", alpha=\"0.11\", expect_size=\"11608064\"] \n  17 -> 33 [size =\"11608064\"]\n  17 -> 34 [size =\"11608064\"]\n  17 -> 38 [size =\"11608064\"]\n  17 -> 41 [size =\"11608064\"]\n  17 -> 43 [size =\"11608064\"]\n  17 -> 44 [size =\"11608064\"]\n  17 -> 45 [size =\"11608064\"]\n  18 [size=\"98587307\", alpha=\"0.18\", expect_size=\"29576192\"] \n  18 -> 33 [size =\"29576192\"]\n  18 -> 34 [size =\"29576192\"]\n  18 -> 36 [size =\"29576192\"]\n  18 -> 38 [size =\"29576192\"]\n  18 -> 40 [size =\"29576192\"]\n  18 -> 41 [size =\"29576192\"]\n  18 -> 44 [size =\"29576192\"]\n  18 -> 45 [size =\"29576192\"]\n  19 [size=\"19749547\", alpha=\"0.19\", expect_size=\"5924864\"] \n  19 -> 33 [size =\"5924864\"]\n  19 -> 34 [size =\"5924864\"]\n  19 -> 35 [size =\"5924864\"]\n  19 -> 36 [size =\"5924864\"]\n  19 -> 41 [size =\"5924864\"]\n  19 -> 41 [size =\"5924864\"]\n  19 -> 44 [size =\"5924864\"]\n  19 -> 45 [size =\"5924864\"]\n  20 [size=\"156579840\", alpha=\"0.15\", expect_size=\"46973952\"] \n  20 -> 34 [size =\"46973952\"]\n  20 -> 41 [size =\"46973952\"]\n  20 -> 42 [size =\"46973952\"]\n  20 -> 43 [size =\"46973952\"]\n  20 -> 44 [size =\"46973952\"]\n  20 -> 45 [size =\"46973952\"]\n  21 [size=\"73758720\", alpha=\"0.19\", expect_size=\"22127616\"] \n  21 -> 34 [size =\"22127616\"]\n  21 -> 35 [size =\"22127616\"]\n  21 -> 36 [size =\"22127616\"]\n  21 -> 39 [size =\"22127616\"]\n  21 -> 41 [size =\"22127616\"]\n  21 -> 45 [size =\"22127616\"]\n  22 [size=\"133198507\", alpha=\"0.10\", expect_size=\"39959552\"] \n  22 -> 33 [size =\"39959552\"]\n  22 -> 35 [size =\"39959552\"]\n  22 -> 36 [size =\"39959552\"]\n  22 -> 37 [size =\"39959552\"]\n  22 -> 38 [size =\"39959552\"]\n  22 -> 40 [size =\"39959552\"]\n  22 -> 41 [size =\"39959552\"]\n  22 -> 43 [size =\"39959552\"]\n  22 -> 45 [size =\"39959552\"]\n  23 [size=\"27340800\", alpha=\"0.07\", expect_size=\"8202240\"] \n  23 -> 33 [size =\"8202240\"]\n  23 -> 34 [size =\"8202240\"]\n  23 -> 41 [size =\"8202240\"]\n  23 -> 45 [size =\"8202240\"]\n  24 [size=\"73427627\", alpha=\"0.06\", expect_size=\"22028288\"] \n  24 -> 32 [size =\"22028288\"]\n  24 -> 35 [size =\"22028288\"]\n  24 -> 36 [size =\"22028288\"]\n  24 -> 39 [size =\"22028288\"]\n  24 -> 44 [size =\"22028288\"]\n  24 -> 45 [size =\"22028288\"]\n  25 [size=\"115698347\", alpha=\"0.14\", expect_size=\"34709504\"] \n  25 -> 35 [size =\"34709504\"]\n  25 -> 35 [size =\"34709504\"]\n  25 -> 36 [size =\"34709504\"]\n  25 -> 39 [size =\"34709504\"]\n  25 -> 41 [size =\"34709504\"]\n  26 [size=\"96354987\", alpha=\"0.17\", expect_size=\"28906496\"] \n  26 -> 33 [size =\"28906496\"]\n  26 -> 34 [size =\"28906496\"]\n  26 -> 35 [size =\"28906496\"]\n  26 -> 38 [size =\"28906496\"]\n  26 -> 41 [size =\"28906496\"]\n  27 [size=\"138127360\", alpha=\"0.11\", expect_size=\"41438208\"] \n  27 -> 34 [size =\"41438208\"]\n  27 -> 35 [size =\"41438208\"]\n  27 -> 38 [size =\"41438208\"]\n  27 -> 43 [size =\"41438208\"]\n  27 -> 44 [size =\"41438208\"]\n  28 [size=\"65802240\", alpha=\"0.01\", expect_size=\"19740672\"] \n  28 -> 33 [size =\"19740672\"]\n  28 -> 34 [size =\"19740672\"]\n  28 -> 35 [size =\"19740672\"]\n  28 -> 39 [size =\"19740672\"]\n  28 -> 40 [size =\"19740672\"]\n  28 -> 43 [size =\"19740672\"]\n  29 [size=\"46516907\", alpha=\"0.18\", expect_size=\"13955072\"] \n  29 -> 34 [size =\"13955072\"]\n  29 -> 34 [size =\"13955072\"]\n  29 -> 35 [size =\"13955072\"]\n  29 -> 36 [size =\"13955072\"]\n  29 -> 41 [size =\"13955072\"]\n  29 -> 43 [size =\"13955072\"]\n  29 -> 44 [size =\"13955072\"]\n  30 [size=\"41864533\", alpha=\"0.05\", expect_size=\"12559360\"] \n  30 -> 35 [size =\"12559360\"]\n  30 -> 36 [size =\"12559360\"]\n  30 -> 38 [size =\"12559360\"]\n  30 -> 39 [size =\"12559360\"]\n  30 -> 40 [size =\"12559360\"]\n  30 -> 44 [size =\"12559360\"]\n  30 -> 45 [size =\"12559360\"]\n  31 [size=\"163375787\", alpha=\"0.10\", expect_size=\"49012736\"] \n  31 -> 33 [size =\"49012736\"]\n  31 -> 34 [size =\"49012736\"]\n  31 -> 35 [size =\"49012736\"]\n  31 -> 39 [size =\"49012736\"]\n  31 -> 41 [size =\"49012736\"]\n  32 [size=\"157917867\", alpha=\"0.03\", expect_size=\"47375360\"] \n  33 [size=\"82616320\", alpha=\"0.13\", expect_size=\"24784896\"] \n  34 [size=\"137649493\", alpha=\"0.17\", expect_size=\"41294848\"] \n  35 [size=\"29446827\", alpha=\"0.07\", expect_size=\"8834048\"] \n  36 [size=\"142776320\", alpha=\"0.18\", expect_size=\"42832896\"] \n  37 [size=\"118295893\", alpha=\"0.11\", expect_size=\"35488768\"] \n  38 [size=\"45172053\", alpha=\"0.15\", expect_size=\"13551616\"] \n  39 [size=\"50558293\", alpha=\"0.19\", expect_size=\"15167488\"] \n  40 [size=\"37809493\", alpha=\"0.00\", expect_size=\"11342848\"] \n  41 [size=\"75472213\", alpha=\"0.09\", expect_size=\"22641664\"] \n  42 [size=\"150347093\", alpha=\"0.13\", expect_size=\"45104128\"] \n  43 [size=\"17827840\", alpha=\"0.18\", expect_size=\"5348352\"] \n  44 [size=\"121518080\", alpha=\"0.10\", expect_size=\"36455424\"] \n  45 [size=\"101758293\", alpha=\"0.14\", expect_size=\"30527488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57131520\", alpha=\"0.18\", expect_size=\"22852608\"] \n  1 -> 5 [size =\"22852608\"]\n  1 -> 6 [size =\"22852608\"]\n  1 -> 7 [size =\"22852608\"]\n  1 -> 11 [size =\"22852608\"]\n  2 [size=\"124538880\", alpha=\"0.13\", expect_size=\"49815552\"] \n  2 -> 7 [size =\"49815552\"]\n  3 [size=\"61964800\", alpha=\"0.03\", expect_size=\"24785920\"] \n  3 -> 7 [size =\"24785920\"]\n  3 -> 9 [size =\"24785920\"]\n  3 -> 10 [size =\"24785920\"]\n  4 [size=\"98680320\", alpha=\"0.17\", expect_size=\"39472128\"] \n  4 -> 6 [size =\"39472128\"]\n  4 -> 7 [size =\"39472128\"]\n  4 -> 8 [size =\"39472128\"]\n  4 -> 10 [size =\"39472128\"]\n  4 -> 11 [size =\"39472128\"]\n  5 [size=\"94420480\", alpha=\"0.15\", expect_size=\"37768192\"] \n  5 -> 16 [size =\"37768192\"]\n  6 [size=\"15923200\", alpha=\"0.09\", expect_size=\"6369280\"] \n  6 -> 12 [size =\"6369280\"]\n  6 -> 14 [size =\"6369280\"]\n  6 -> 15 [size =\"6369280\"]\n  7 [size=\"104266240\", alpha=\"0.00\", expect_size=\"41706496\"] \n  7 -> 12 [size =\"41706496\"]\n  7 -> 14 [size =\"41706496\"]\n  7 -> 15 [size =\"41706496\"]\n  7 -> 16 [size =\"41706496\"]\n  8 [size=\"75010560\", alpha=\"0.07\", expect_size=\"30004224\"] \n  8 -> 12 [size =\"30004224\"]\n  8 -> 13 [size =\"30004224\"]\n  8 -> 14 [size =\"30004224\"]\n  9 [size=\"51264000\", alpha=\"0.17\", expect_size=\"20505600\"] \n  9 -> 12 [size =\"20505600\"]\n  9 -> 14 [size =\"20505600\"]\n  10 [size=\"96993280\", alpha=\"0.11\", expect_size=\"38797312\"] \n  10 -> 12 [size =\"38797312\"]\n  10 -> 14 [size =\"38797312\"]\n  10 -> 16 [size =\"38797312\"]\n  11 [size=\"32673280\", alpha=\"0.03\", expect_size=\"13069312\"] \n  11 -> 12 [size =\"13069312\"]\n  11 -> 14 [size =\"13069312\"]\n  12 [size=\"20774400\", alpha=\"0.09\", expect_size=\"8309760\"] \n  12 -> 17 [size =\"8309760\"]\n  12 -> 20 [size =\"8309760\"]\n  12 -> 21 [size =\"8309760\"]\n  12 -> 22 [size =\"8309760\"]\n  13 [size=\"94730240\", alpha=\"0.19\", expect_size=\"37892096\"] \n  13 -> 17 [size =\"37892096\"]\n  13 -> 19 [size =\"37892096\"]\n  13 -> 21 [size =\"37892096\"]\n  13 -> 22 [size =\"37892096\"]\n  14 [size=\"113807360\", alpha=\"0.04\", expect_size=\"45522944\"] \n  14 -> 17 [size =\"45522944\"]\n  14 -> 21 [size =\"45522944\"]\n  14 -> 21 [size =\"45522944\"]\n  15 [size=\"98408960\", alpha=\"0.01\", expect_size=\"39363584\"] \n  15 -> 17 [size =\"39363584\"]\n  15 -> 18 [size =\"39363584\"]\n  15 -> 19 [size =\"39363584\"]\n  15 -> 21 [size =\"39363584\"]\n  15 -> 22 [size =\"39363584\"]\n  16 [size=\"70310400\", alpha=\"0.17\", expect_size=\"28124160\"] \n  16 -> 17 [size =\"28124160\"]\n  16 -> 20 [size =\"28124160\"]\n  16 -> 22 [size =\"28124160\"]\n  17 [size=\"120844800\", alpha=\"0.16\", expect_size=\"48337920\"] \n  17 -> 24 [size =\"48337920\"]\n  17 -> 27 [size =\"48337920\"]\n  18 [size=\"123312640\", alpha=\"0.06\", expect_size=\"49325056\"] \n  18 -> 23 [size =\"49325056\"]\n  18 -> 24 [size =\"49325056\"]\n  18 -> 27 [size =\"49325056\"]\n  19 [size=\"44876800\", alpha=\"0.06\", expect_size=\"17950720\"] \n  19 -> 24 [size =\"17950720\"]\n  19 -> 24 [size =\"17950720\"]\n  19 -> 26 [size =\"17950720\"]\n  20 [size=\"29847040\", alpha=\"0.01\", expect_size=\"11938816\"] \n  20 -> 23 [size =\"11938816\"]\n  20 -> 24 [size =\"11938816\"]\n  20 -> 26 [size =\"11938816\"]\n  21 [size=\"92984320\", alpha=\"0.04\", expect_size=\"37193728\"] \n  21 -> 24 [size =\"37193728\"]\n  21 -> 26 [size =\"37193728\"]\n  22 [size=\"111925760\", alpha=\"0.06\", expect_size=\"44770304\"] \n  22 -> 23 [size =\"44770304\"]\n  22 -> 25 [size =\"44770304\"]\n  22 -> 26 [size =\"44770304\"]\n  23 [size=\"44328960\", alpha=\"0.17\", expect_size=\"17731584\"] \n  23 -> 32 [size =\"17731584\"]\n  23 -> 33 [size =\"17731584\"]\n  23 -> 34 [size =\"17731584\"]\n  24 [size=\"37291520\", alpha=\"0.02\", expect_size=\"14916608\"] \n  24 -> 29 [size =\"14916608\"]\n  24 -> 33 [size =\"14916608\"]\n  24 -> 34 [size =\"14916608\"]\n  25 [size=\"60707840\", alpha=\"0.00\", expect_size=\"24283136\"] \n  25 -> 28 [size =\"24283136\"]\n  25 -> 31 [size =\"24283136\"]\n  25 -> 33 [size =\"24283136\"]\n  26 [size=\"67960320\", alpha=\"0.19\", expect_size=\"27184128\"] \n  26 -> 28 [size =\"27184128\"]\n  26 -> 32 [size =\"27184128\"]\n  26 -> 33 [size =\"27184128\"]\n  27 [size=\"48366080\", alpha=\"0.14\", expect_size=\"19346432\"] \n  27 -> 28 [size =\"19346432\"]\n  27 -> 29 [size =\"19346432\"]\n  27 -> 30 [size =\"19346432\"]\n  27 -> 32 [size =\"19346432\"]\n  27 -> 33 [size =\"19346432\"]\n  27 -> 34 [size =\"19346432\"]\n  28 [size=\"23488000\", alpha=\"0.19\", expect_size=\"9395200\"] \n  28 -> 38 [size =\"9395200\"]\n  28 -> 40 [size =\"9395200\"]\n  29 [size=\"57541120\", alpha=\"0.10\", expect_size=\"23016448\"] \n  29 -> 36 [size =\"23016448\"]\n  29 -> 38 [size =\"23016448\"]\n  29 -> 40 [size =\"23016448\"]\n  30 [size=\"90209280\", alpha=\"0.16\", expect_size=\"36083712\"] \n  30 -> 37 [size =\"36083712\"]\n  30 -> 38 [size =\"36083712\"]\n  30 -> 39 [size =\"36083712\"]\n  30 -> 40 [size =\"36083712\"]\n  31 [size=\"97451520\", alpha=\"0.05\", expect_size=\"38980608\"] \n  31 -> 35 [size =\"38980608\"]\n  31 -> 36 [size =\"38980608\"]\n  31 -> 38 [size =\"38980608\"]\n  31 -> 40 [size =\"38980608\"]\n  32 [size=\"123294720\", alpha=\"0.16\", expect_size=\"49317888\"] \n  32 -> 38 [size =\"49317888\"]\n  33 [size=\"43243520\", alpha=\"0.20\", expect_size=\"17297408\"] \n  33 -> 38 [size =\"17297408\"]\n  33 -> 40 [size =\"17297408\"]\n  34 [size=\"24117760\", alpha=\"0.01\", expect_size=\"9647104\"] \n  34 -> 37 [size =\"9647104\"]\n  34 -> 38 [size =\"9647104\"]\n  35 [size=\"33530880\", alpha=\"0.17\", expect_size=\"13412352\"] \n  35 -> 45 [size =\"13412352\"]\n  36 [size=\"34833920\", alpha=\"0.02\", expect_size=\"13933568\"] \n  37 [size=\"30840320\", alpha=\"0.06\", expect_size=\"12336128\"] \n  37 -> 42 [size =\"12336128\"]\n  37 -> 45 [size =\"12336128\"]\n  38 [size=\"112714240\", alpha=\"0.08\", expect_size=\"45085696\"] \n  38 -> 41 [size =\"45085696\"]\n  38 -> 42 [size =\"45085696\"]\n  38 -> 43 [size =\"45085696\"]\n  38 -> 44 [size =\"45085696\"]\n  39 [size=\"106426880\", alpha=\"0.16\", expect_size=\"42570752\"] \n  39 -> 42 [size =\"42570752\"]\n  39 -> 42 [size =\"42570752\"]\n  39 -> 44 [size =\"42570752\"]\n  40 [size=\"50137600\", alpha=\"0.07\", expect_size=\"20055040\"] \n  40 -> 42 [size =\"20055040\"]\n  40 -> 44 [size =\"20055040\"]\n  40 -> 45 [size =\"20055040\"]\n  41 [size=\"27737600\", alpha=\"0.11\", expect_size=\"11095040\"] \n  42 [size=\"58790400\", alpha=\"0.12\", expect_size=\"23516160\"] \n  43 [size=\"33003520\", alpha=\"0.18\", expect_size=\"13201408\"] \n  44 [size=\"32000000\", alpha=\"0.08\", expect_size=\"12800000\"] \n  45 [size=\"38515200\", alpha=\"0.07\", expect_size=\"15406080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19927040\", alpha=\"0.14\", expect_size=\"9963520\"] \n  1 -> 2 [size =\"9963520\"]\n  2 [size=\"92930048\", alpha=\"0.07\", expect_size=\"46465024\"] \n  2 -> 3 [size =\"46465024\"]\n  3 [size=\"59299840\", alpha=\"0.04\", expect_size=\"29649920\"] \n  3 -> 4 [size =\"29649920\"]\n  4 [size=\"97198080\", alpha=\"0.03\", expect_size=\"48599040\"] \n  4 -> 5 [size =\"48599040\"]\n  5 [size=\"55021568\", alpha=\"0.13\", expect_size=\"27510784\"] \n  5 -> 6 [size =\"27510784\"]\n  6 [size=\"52330496\", alpha=\"0.04\", expect_size=\"26165248\"] \n  6 -> 7 [size =\"26165248\"]\n  7 [size=\"47247360\", alpha=\"0.11\", expect_size=\"23623680\"] \n  7 -> 8 [size =\"23623680\"]\n  8 [size=\"40570880\", alpha=\"0.13\", expect_size=\"20285440\"] \n  8 -> 9 [size =\"20285440\"]\n  9 [size=\"53151744\", alpha=\"0.14\", expect_size=\"26575872\"] \n  9 -> 10 [size =\"26575872\"]\n  10 [size=\"36343808\", alpha=\"0.01\", expect_size=\"18171904\"] \n  10 -> 11 [size =\"18171904\"]\n  11 [size=\"31254528\", alpha=\"0.02\", expect_size=\"15627264\"] \n  11 -> 12 [size =\"15627264\"]\n  12 [size=\"97062912\", alpha=\"0.19\", expect_size=\"48531456\"] \n  12 -> 13 [size =\"48531456\"]\n  13 [size=\"37128192\", alpha=\"0.18\", expect_size=\"18564096\"] \n  13 -> 14 [size =\"18564096\"]\n  14 [size=\"53696512\", alpha=\"0.19\", expect_size=\"26848256\"] \n  14 -> 15 [size =\"26848256\"]\n  15 [size=\"69916672\", alpha=\"0.03\", expect_size=\"34958336\"] \n  15 -> 16 [size =\"34958336\"]\n  16 [size=\"38662144\", alpha=\"0.03\", expect_size=\"19331072\"] \n  16 -> 17 [size =\"19331072\"]\n  17 [size=\"58310656\", alpha=\"0.07\", expect_size=\"29155328\"] \n  17 -> 18 [size =\"29155328\"]\n  18 [size=\"13717504\", alpha=\"0.03\", expect_size=\"6858752\"] \n  18 -> 19 [size =\"6858752\"]\n  19 [size=\"73607168\", alpha=\"0.18\", expect_size=\"36803584\"] \n  19 -> 20 [size =\"36803584\"]\n  20 [size=\"46587904\", alpha=\"0.15\", expect_size=\"23293952\"] \n  20 -> 21 [size =\"23293952\"]\n  21 [size=\"49383424\", alpha=\"0.15\", expect_size=\"24691712\"] \n  21 -> 22 [size =\"24691712\"]\n  22 [size=\"61071360\", alpha=\"0.12\", expect_size=\"30535680\"] \n  22 -> 23 [size =\"30535680\"]\n  23 [size=\"56059904\", alpha=\"0.19\", expect_size=\"28029952\"] \n  23 -> 24 [size =\"28029952\"]\n  24 [size=\"47941632\", alpha=\"0.05\", expect_size=\"23970816\"] \n  24 -> 25 [size =\"23970816\"]\n  25 [size=\"41322496\", alpha=\"0.20\", expect_size=\"20661248\"] \n  25 -> 26 [size =\"20661248\"]\n  26 [size=\"55093248\", alpha=\"0.04\", expect_size=\"27546624\"] \n  26 -> 27 [size =\"27546624\"]\n  27 [size=\"69959680\", alpha=\"0.16\", expect_size=\"34979840\"] \n  27 -> 28 [size =\"34979840\"]\n  28 [size=\"102649856\", alpha=\"0.14\", expect_size=\"51324928\"] \n  28 -> 29 [size =\"51324928\"]\n  29 [size=\"21383168\", alpha=\"0.01\", expect_size=\"10691584\"] \n  29 -> 30 [size =\"10691584\"]\n  30 [size=\"104067072\", alpha=\"0.14\", expect_size=\"52033536\"] \n  30 -> 31 [size =\"52033536\"]\n  31 [size=\"80732160\", alpha=\"0.11\", expect_size=\"40366080\"] \n  31 -> 32 [size =\"40366080\"]\n  32 [size=\"55191552\", alpha=\"0.06\", expect_size=\"27595776\"] \n  32 -> 33 [size =\"27595776\"]\n  33 [size=\"15519744\", alpha=\"0.08\", expect_size=\"7759872\"] \n  33 -> 34 [size =\"7759872\"]\n  34 [size=\"10532864\", alpha=\"0.18\", expect_size=\"5266432\"] \n  34 -> 35 [size =\"5266432\"]\n  35 [size=\"32571392\", alpha=\"0.01\", expect_size=\"16285696\"] \n  35 -> 36 [size =\"16285696\"]\n  36 [size=\"31799296\", alpha=\"0.10\", expect_size=\"15899648\"] \n  36 -> 37 [size =\"15899648\"]\n  37 [size=\"50063360\", alpha=\"0.09\", expect_size=\"25031680\"] \n  37 -> 38 [size =\"25031680\"]\n  38 [size=\"29753344\", alpha=\"0.08\", expect_size=\"14876672\"] \n  38 -> 39 [size =\"14876672\"]\n  39 [size=\"95326208\", alpha=\"0.01\", expect_size=\"47663104\"] \n  39 -> 40 [size =\"47663104\"]\n  40 [size=\"100706304\", alpha=\"0.02\", expect_size=\"50353152\"] \n  40 -> 41 [size =\"50353152\"]\n  41 [size=\"71749632\", alpha=\"0.11\", expect_size=\"35874816\"] \n  41 -> 42 [size =\"35874816\"]\n  42 [size=\"29227008\", alpha=\"0.11\", expect_size=\"14613504\"] \n  42 -> 43 [size =\"14613504\"]\n  43 [size=\"59717632\", alpha=\"0.20\", expect_size=\"29858816\"] \n  43 -> 44 [size =\"29858816\"]\n  44 [size=\"95492096\", alpha=\"0.17\", expect_size=\"47746048\"] \n  44 -> 45 [size =\"47746048\"]\n  45 [size=\"85391360\", alpha=\"0.01\", expect_size=\"42695680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45432320\", alpha=\"0.06\", expect_size=\"18172928\"] \n  1 -> 2 [size =\"18172928\"]\n  2 [size=\"76802560\", alpha=\"0.10\", expect_size=\"30721024\"] \n  2 -> 3 [size =\"30721024\"]\n  3 [size=\"117872640\", alpha=\"0.04\", expect_size=\"47149056\"] \n  3 -> 4 [size =\"47149056\"]\n  4 [size=\"92252160\", alpha=\"0.12\", expect_size=\"36900864\"] \n  4 -> 5 [size =\"36900864\"]\n  5 [size=\"117250560\", alpha=\"0.06\", expect_size=\"46900224\"] \n  5 -> 6 [size =\"46900224\"]\n  6 [size=\"19988480\", alpha=\"0.12\", expect_size=\"7995392\"] \n  6 -> 7 [size =\"7995392\"]\n  7 [size=\"55887360\", alpha=\"0.00\", expect_size=\"22354944\"] \n  7 -> 8 [size =\"22354944\"]\n  8 [size=\"63516160\", alpha=\"0.07\", expect_size=\"25406464\"] \n  8 -> 9 [size =\"25406464\"]\n  9 [size=\"77063680\", alpha=\"0.09\", expect_size=\"30825472\"] \n  9 -> 10 [size =\"30825472\"]\n  10 [size=\"22709760\", alpha=\"0.14\", expect_size=\"9083904\"] \n  10 -> 11 [size =\"9083904\"]\n  11 [size=\"114380800\", alpha=\"0.16\", expect_size=\"45752320\"] \n  11 -> 12 [size =\"45752320\"]\n  12 [size=\"33067520\", alpha=\"0.02\", expect_size=\"13227008\"] \n  12 -> 13 [size =\"13227008\"]\n  13 [size=\"93713920\", alpha=\"0.08\", expect_size=\"37485568\"] \n  13 -> 14 [size =\"37485568\"]\n  14 [size=\"116554240\", alpha=\"0.09\", expect_size=\"46621696\"] \n  14 -> 15 [size =\"46621696\"]\n  15 [size=\"68779520\", alpha=\"0.07\", expect_size=\"27511808\"] \n  15 -> 16 [size =\"27511808\"]\n  16 [size=\"106301440\", alpha=\"0.10\", expect_size=\"42520576\"] \n  16 -> 17 [size =\"42520576\"]\n  17 [size=\"56199680\", alpha=\"0.00\", expect_size=\"22479872\"] \n  17 -> 18 [size =\"22479872\"]\n  18 [size=\"57871360\", alpha=\"0.12\", expect_size=\"23148544\"] \n  18 -> 19 [size =\"23148544\"]\n  19 [size=\"98273280\", alpha=\"0.16\", expect_size=\"39309312\"] \n  19 -> 20 [size =\"39309312\"]\n  20 [size=\"35919360\", alpha=\"0.18\", expect_size=\"14367744\"] \n  20 -> 21 [size =\"14367744\"]\n  21 [size=\"115722240\", alpha=\"0.04\", expect_size=\"46288896\"] \n  21 -> 22 [size =\"46288896\"]\n  22 [size=\"94845440\", alpha=\"0.02\", expect_size=\"37938176\"] \n  22 -> 23 [size =\"37938176\"]\n  23 [size=\"109588480\", alpha=\"0.17\", expect_size=\"43835392\"] \n  23 -> 24 [size =\"43835392\"]\n  24 [size=\"40179200\", alpha=\"0.06\", expect_size=\"16071680\"] \n  24 -> 25 [size =\"16071680\"]\n  25 [size=\"92800000\", alpha=\"0.13\", expect_size=\"37120000\"] \n  25 -> 26 [size =\"37120000\"]\n  26 [size=\"15703040\", alpha=\"0.00\", expect_size=\"6281216\"] \n  26 -> 27 [size =\"6281216\"]\n  27 [size=\"74964480\", alpha=\"0.15\", expect_size=\"29985792\"] \n  27 -> 28 [size =\"29985792\"]\n  28 [size=\"76474880\", alpha=\"0.18\", expect_size=\"30589952\"] \n  28 -> 29 [size =\"30589952\"]\n  29 [size=\"31831040\", alpha=\"0.13\", expect_size=\"12732416\"] \n  29 -> 30 [size =\"12732416\"]\n  30 [size=\"128558080\", alpha=\"0.08\", expect_size=\"51423232\"] \n  30 -> 31 [size =\"51423232\"]\n  31 [size=\"114979840\", alpha=\"0.01\", expect_size=\"45991936\"] \n  31 -> 32 [size =\"45991936\"]\n  32 [size=\"23426560\", alpha=\"0.18\", expect_size=\"9370624\"] \n  32 -> 33 [size =\"9370624\"]\n  33 [size=\"35558400\", alpha=\"0.08\", expect_size=\"14223360\"] \n  33 -> 34 [size =\"14223360\"]\n  34 [size=\"20213760\", alpha=\"0.16\", expect_size=\"8085504\"] \n  34 -> 35 [size =\"8085504\"]\n  35 [size=\"56537600\", alpha=\"0.13\", expect_size=\"22615040\"] \n  35 -> 36 [size =\"22615040\"]\n  36 [size=\"130711040\", alpha=\"0.05\", expect_size=\"52284416\"] \n  36 -> 37 [size =\"52284416\"]\n  37 [size=\"13685760\", alpha=\"0.06\", expect_size=\"5474304\"] \n  37 -> 38 [size =\"5474304\"]\n  38 [size=\"102138880\", alpha=\"0.13\", expect_size=\"40855552\"] \n  38 -> 39 [size =\"40855552\"]\n  39 [size=\"92584960\", alpha=\"0.16\", expect_size=\"37033984\"] \n  39 -> 40 [size =\"37033984\"]\n  40 [size=\"48977920\", alpha=\"0.02\", expect_size=\"19591168\"] \n  40 -> 41 [size =\"19591168\"]\n  41 [size=\"98892800\", alpha=\"0.05\", expect_size=\"39557120\"] \n  41 -> 42 [size =\"39557120\"]\n  42 [size=\"107668480\", alpha=\"0.02\", expect_size=\"43067392\"] \n  42 -> 43 [size =\"43067392\"]\n  43 [size=\"95270400\", alpha=\"0.16\", expect_size=\"38108160\"] \n  43 -> 44 [size =\"38108160\"]\n  44 [size=\"24337920\", alpha=\"0.14\", expect_size=\"9735168\"] \n  44 -> 45 [size =\"9735168\"]\n  45 [size=\"116282880\", alpha=\"0.06\", expect_size=\"46513152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131033600\", alpha=\"0.15\", expect_size=\"52413440\"] \n  1 -> 2 [size =\"52413440\"]\n  2 [size=\"48450560\", alpha=\"0.16\", expect_size=\"19380224\"] \n  2 -> 3 [size =\"19380224\"]\n  3 [size=\"48384000\", alpha=\"0.07\", expect_size=\"19353600\"] \n  3 -> 4 [size =\"19353600\"]\n  4 [size=\"52264960\", alpha=\"0.05\", expect_size=\"20905984\"] \n  4 -> 5 [size =\"20905984\"]\n  5 [size=\"127861760\", alpha=\"0.13\", expect_size=\"51144704\"] \n  5 -> 6 [size =\"51144704\"]\n  6 [size=\"46988800\", alpha=\"0.07\", expect_size=\"18795520\"] \n  6 -> 7 [size =\"18795520\"]\n  7 [size=\"79032320\", alpha=\"0.07\", expect_size=\"31612928\"] \n  7 -> 8 [size =\"31612928\"]\n  8 [size=\"67553280\", alpha=\"0.09\", expect_size=\"27021312\"] \n  8 -> 9 [size =\"27021312\"]\n  9 [size=\"14010880\", alpha=\"0.00\", expect_size=\"5604352\"] \n  9 -> 10 [size =\"5604352\"]\n  10 [size=\"72199680\", alpha=\"0.10\", expect_size=\"28879872\"] \n  10 -> 11 [size =\"28879872\"]\n  11 [size=\"53240320\", alpha=\"0.17\", expect_size=\"21296128\"] \n  11 -> 12 [size =\"21296128\"]\n  12 [size=\"22763520\", alpha=\"0.04\", expect_size=\"9105408\"] \n  12 -> 13 [size =\"9105408\"]\n  13 [size=\"114229760\", alpha=\"0.04\", expect_size=\"45691904\"] \n  13 -> 14 [size =\"45691904\"]\n  14 [size=\"39738880\", alpha=\"0.18\", expect_size=\"15895552\"] \n  14 -> 15 [size =\"15895552\"]\n  15 [size=\"67827200\", alpha=\"0.07\", expect_size=\"27130880\"] \n  15 -> 16 [size =\"27130880\"]\n  16 [size=\"27443200\", alpha=\"0.06\", expect_size=\"10977280\"] \n  16 -> 17 [size =\"10977280\"]\n  17 [size=\"66406400\", alpha=\"0.10\", expect_size=\"26562560\"] \n  17 -> 18 [size =\"26562560\"]\n  18 [size=\"105024000\", alpha=\"0.01\", expect_size=\"42009600\"] \n  18 -> 19 [size =\"42009600\"]\n  19 [size=\"38842880\", alpha=\"0.12\", expect_size=\"15537152\"] \n  19 -> 20 [size =\"15537152\"]\n  20 [size=\"41684480\", alpha=\"0.06\", expect_size=\"16673792\"] \n  20 -> 21 [size =\"16673792\"]\n  21 [size=\"99755520\", alpha=\"0.19\", expect_size=\"39902208\"] \n  21 -> 22 [size =\"39902208\"]\n  22 [size=\"79255040\", alpha=\"0.19\", expect_size=\"31702016\"] \n  22 -> 23 [size =\"31702016\"]\n  23 [size=\"103808000\", alpha=\"0.04\", expect_size=\"41523200\"] \n  23 -> 24 [size =\"41523200\"]\n  24 [size=\"126282240\", alpha=\"0.16\", expect_size=\"50512896\"] \n  24 -> 25 [size =\"50512896\"]\n  25 [size=\"113136640\", alpha=\"0.07\", expect_size=\"45254656\"] \n  25 -> 26 [size =\"45254656\"]\n  26 [size=\"36917760\", alpha=\"0.05\", expect_size=\"14767104\"] \n  26 -> 27 [size =\"14767104\"]\n  27 [size=\"74557440\", alpha=\"0.13\", expect_size=\"29822976\"] \n  27 -> 28 [size =\"29822976\"]\n  28 [size=\"14461440\", alpha=\"0.11\", expect_size=\"5784576\"] \n  28 -> 29 [size =\"5784576\"]\n  29 [size=\"21125120\", alpha=\"0.08\", expect_size=\"8450048\"] \n  29 -> 30 [size =\"8450048\"]\n  30 [size=\"94543360\", alpha=\"0.16\", expect_size=\"37817344\"] \n  30 -> 31 [size =\"37817344\"]\n  31 [size=\"129064960\", alpha=\"0.11\", expect_size=\"51625984\"] \n  31 -> 32 [size =\"51625984\"]\n  32 [size=\"124654080\", alpha=\"0.07\", expect_size=\"49861632\"] \n  32 -> 33 [size =\"49861632\"]\n  33 [size=\"116656640\", alpha=\"0.01\", expect_size=\"46662656\"] \n  33 -> 34 [size =\"46662656\"]\n  34 [size=\"22387200\", alpha=\"0.18\", expect_size=\"8954880\"] \n  34 -> 35 [size =\"8954880\"]\n  35 [size=\"116930560\", alpha=\"0.06\", expect_size=\"46772224\"] \n  35 -> 36 [size =\"46772224\"]\n  36 [size=\"43187200\", alpha=\"0.15\", expect_size=\"17274880\"] \n  36 -> 37 [size =\"17274880\"]\n  37 [size=\"70968320\", alpha=\"0.14\", expect_size=\"28387328\"] \n  37 -> 38 [size =\"28387328\"]\n  38 [size=\"30272000\", alpha=\"0.08\", expect_size=\"12108800\"] \n  38 -> 39 [size =\"12108800\"]\n  39 [size=\"93509120\", alpha=\"0.07\", expect_size=\"37403648\"] \n  39 -> 40 [size =\"37403648\"]\n  40 [size=\"25656320\", alpha=\"0.10\", expect_size=\"10262528\"] \n  40 -> 41 [size =\"10262528\"]\n  41 [size=\"121735680\", alpha=\"0.08\", expect_size=\"48694272\"] \n  41 -> 42 [size =\"48694272\"]\n  42 [size=\"67988480\", alpha=\"0.18\", expect_size=\"27195392\"] \n  42 -> 43 [size =\"27195392\"]\n  43 [size=\"110000640\", alpha=\"0.02\", expect_size=\"44000256\"] \n  43 -> 44 [size =\"44000256\"]\n  44 [size=\"112967680\", alpha=\"0.06\", expect_size=\"45187072\"] \n  44 -> 45 [size =\"45187072\"]\n  45 [size=\"103521280\", alpha=\"0.07\", expect_size=\"41408512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147097600\", alpha=\"0.17\", expect_size=\"44129280\"] \n  1 -> 3 [size =\"44129280\"]\n  1 -> 4 [size =\"44129280\"]\n  2 [size=\"39362560\", alpha=\"0.20\", expect_size=\"11808768\"] \n  2 -> 3 [size =\"11808768\"]\n  3 [size=\"138482347\", alpha=\"0.06\", expect_size=\"41544704\"] \n  3 -> 5 [size =\"41544704\"]\n  3 -> 6 [size =\"41544704\"]\n  3 -> 7 [size =\"41544704\"]\n  4 [size=\"25920853\", alpha=\"0.12\", expect_size=\"7776256\"] \n  4 -> 5 [size =\"7776256\"]\n  4 -> 6 [size =\"7776256\"]\n  5 [size=\"164433920\", alpha=\"0.01\", expect_size=\"49330176\"] \n  5 -> 8 [size =\"49330176\"]\n  5 -> 9 [size =\"49330176\"]\n  6 [size=\"51520853\", alpha=\"0.11\", expect_size=\"15456256\"] \n  6 -> 9 [size =\"15456256\"]\n  7 [size=\"51148800\", alpha=\"0.07\", expect_size=\"15344640\"] \n  7 -> 8 [size =\"15344640\"]\n  7 -> 9 [size =\"15344640\"]\n  8 [size=\"87596373\", alpha=\"0.10\", expect_size=\"26278912\"] \n  8 -> 10 [size =\"26278912\"]\n  8 -> 11 [size =\"26278912\"]\n  8 -> 12 [size =\"26278912\"]\n  8 -> 13 [size =\"26278912\"]\n  9 [size=\"81930240\", alpha=\"0.14\", expect_size=\"24579072\"] \n  9 -> 10 [size =\"24579072\"]\n  9 -> 11 [size =\"24579072\"]\n  9 -> 13 [size =\"24579072\"]\n  10 [size=\"73601707\", alpha=\"0.09\", expect_size=\"22080512\"] \n  11 [size=\"36256427\", alpha=\"0.18\", expect_size=\"10876928\"] \n  12 [size=\"170543787\", alpha=\"0.02\", expect_size=\"51163136\"] \n  13 [size=\"169659733\", alpha=\"0.05\", expect_size=\"50897920\"] \n  13 -> 14 [size =\"50897920\"]\n  14 [size=\"63143253\", alpha=\"0.18\", expect_size=\"18942976\"] \n  14 -> 15 [size =\"18942976\"]\n  14 -> 16 [size =\"18942976\"]\n  14 -> 17 [size =\"18942976\"]\n  14 -> 18 [size =\"18942976\"]\n  15 [size=\"157201067\", alpha=\"0.13\", expect_size=\"47160320\"] \n  15 -> 20 [size =\"47160320\"]\n  15 -> 20 [size =\"47160320\"]\n  16 [size=\"167621973\", alpha=\"0.03\", expect_size=\"50286592\"] \n  17 [size=\"93532160\", alpha=\"0.17\", expect_size=\"28059648\"] \n  17 -> 19 [size =\"28059648\"]\n  17 -> 20 [size =\"28059648\"]\n  18 [size=\"150644053\", alpha=\"0.04\", expect_size=\"45193216\"] \n  18 -> 19 [size =\"45193216\"]\n  18 -> 20 [size =\"45193216\"]\n  19 [size=\"72478720\", alpha=\"0.10\", expect_size=\"21743616\"] \n  19 -> 21 [size =\"21743616\"]\n  19 -> 22 [size =\"21743616\"]\n  19 -> 23 [size =\"21743616\"]\n  20 [size=\"22961493\", alpha=\"0.03\", expect_size=\"6888448\"] \n  20 -> 21 [size =\"6888448\"]\n  20 -> 22 [size =\"6888448\"]\n  20 -> 23 [size =\"6888448\"]\n  21 [size=\"96235520\", alpha=\"0.13\", expect_size=\"28870656\"] \n  21 -> 24 [size =\"28870656\"]\n  22 [size=\"79742293\", alpha=\"0.06\", expect_size=\"23922688\"] \n  22 -> 24 [size =\"23922688\"]\n  23 [size=\"95139840\", alpha=\"0.14\", expect_size=\"28541952\"] \n  23 -> 24 [size =\"28541952\"]\n  24 [size=\"136888320\", alpha=\"0.03\", expect_size=\"41066496\"] \n  24 -> 25 [size =\"41066496\"]\n  24 -> 26 [size =\"41066496\"]\n  24 -> 27 [size =\"41066496\"]\n  24 -> 28 [size =\"41066496\"]\n  25 [size=\"123508053\", alpha=\"0.11\", expect_size=\"37052416\"] \n  25 -> 29 [size =\"37052416\"]\n  25 -> 31 [size =\"37052416\"]\n  25 -> 32 [size =\"37052416\"]\n  26 [size=\"66304000\", alpha=\"0.03\", expect_size=\"19891200\"] \n  26 -> 29 [size =\"19891200\"]\n  26 -> 31 [size =\"19891200\"]\n  26 -> 32 [size =\"19891200\"]\n  27 [size=\"92637867\", alpha=\"0.20\", expect_size=\"27791360\"] \n  27 -> 30 [size =\"27791360\"]\n  28 [size=\"65249280\", alpha=\"0.05\", expect_size=\"19574784\"] \n  28 -> 29 [size =\"19574784\"]\n  28 -> 30 [size =\"19574784\"]\n  28 -> 31 [size =\"19574784\"]\n  28 -> 32 [size =\"19574784\"]\n  29 [size=\"96382293\", alpha=\"0.19\", expect_size=\"28914688\"] \n  29 -> 34 [size =\"28914688\"]\n  30 [size=\"174254080\", alpha=\"0.19\", expect_size=\"52276224\"] \n  30 -> 33 [size =\"52276224\"]\n  31 [size=\"43226453\", alpha=\"0.02\", expect_size=\"12967936\"] \n  31 -> 34 [size =\"12967936\"]\n  32 [size=\"147496960\", alpha=\"0.05\", expect_size=\"44249088\"] \n  33 [size=\"37092693\", alpha=\"0.07\", expect_size=\"11127808\"] \n  33 -> 35 [size =\"11127808\"]\n  33 -> 36 [size =\"11127808\"]\n  33 -> 37 [size =\"11127808\"]\n  33 -> 38 [size =\"11127808\"]\n  34 [size=\"147592533\", alpha=\"0.15\", expect_size=\"44277760\"] \n  34 -> 35 [size =\"44277760\"]\n  34 -> 36 [size =\"44277760\"]\n  34 -> 37 [size =\"44277760\"]\n  35 [size=\"172871680\", alpha=\"0.00\", expect_size=\"51861504\"] \n  35 -> 39 [size =\"51861504\"]\n  35 -> 40 [size =\"51861504\"]\n  36 [size=\"102601387\", alpha=\"0.05\", expect_size=\"30780416\"] \n  36 -> 39 [size =\"30780416\"]\n  36 -> 40 [size =\"30780416\"]\n  37 [size=\"128112640\", alpha=\"0.19\", expect_size=\"38433792\"] \n  38 [size=\"125791573\", alpha=\"0.10\", expect_size=\"37737472\"] \n  38 -> 39 [size =\"37737472\"]\n  39 [size=\"165765120\", alpha=\"0.08\", expect_size=\"49729536\"] \n  39 -> 41 [size =\"49729536\"]\n  39 -> 42 [size =\"49729536\"]\n  39 -> 43 [size =\"49729536\"]\n  40 [size=\"155197440\", alpha=\"0.07\", expect_size=\"46559232\"] \n  40 -> 42 [size =\"46559232\"]\n  41 [size=\"150217387\", alpha=\"0.16\", expect_size=\"45065216\"] \n  42 [size=\"169608533\", alpha=\"0.13\", expect_size=\"50882560\"] \n  42 -> 44 [size =\"50882560\"]\n  42 -> 45 [size =\"50882560\"]\n  43 [size=\"51869013\", alpha=\"0.20\", expect_size=\"15560704\"] \n  44 [size=\"106472107\", alpha=\"0.01\", expect_size=\"31941632\"] \n  45 [size=\"64508587\", alpha=\"0.17\", expect_size=\"19352576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88803328\", alpha=\"0.06\", expect_size=\"44401664\"] \n  1 -> 4 [size =\"44401664\"]\n  1 -> 6 [size =\"44401664\"]\n  2 [size=\"88584192\", alpha=\"0.00\", expect_size=\"44292096\"] \n  2 -> 4 [size =\"44292096\"]\n  2 -> 6 [size =\"44292096\"]\n  3 [size=\"71397376\", alpha=\"0.10\", expect_size=\"35698688\"] \n  3 -> 4 [size =\"35698688\"]\n  3 -> 5 [size =\"35698688\"]\n  4 [size=\"16320512\", alpha=\"0.02\", expect_size=\"8160256\"] \n  4 -> 8 [size =\"8160256\"]\n  5 [size=\"102748160\", alpha=\"0.14\", expect_size=\"51374080\"] \n  5 -> 7 [size =\"51374080\"]\n  6 [size=\"95031296\", alpha=\"0.01\", expect_size=\"47515648\"] \n  6 -> 8 [size =\"47515648\"]\n  6 -> 9 [size =\"47515648\"]\n  7 [size=\"101879808\", alpha=\"0.08\", expect_size=\"50939904\"] \n  7 -> 11 [size =\"50939904\"]\n  8 [size=\"85716992\", alpha=\"0.17\", expect_size=\"42858496\"] \n  8 -> 10 [size =\"42858496\"]\n  9 [size=\"62459904\", alpha=\"0.09\", expect_size=\"31229952\"] \n  10 [size=\"49569792\", alpha=\"0.11\", expect_size=\"24784896\"] \n  10 -> 12 [size =\"24784896\"]\n  10 -> 13 [size =\"24784896\"]\n  11 [size=\"36272128\", alpha=\"0.15\", expect_size=\"18136064\"] \n  11 -> 13 [size =\"18136064\"]\n  12 [size=\"63784960\", alpha=\"0.14\", expect_size=\"31892480\"] \n  12 -> 14 [size =\"31892480\"]\n  12 -> 15 [size =\"31892480\"]\n  13 [size=\"65748992\", alpha=\"0.20\", expect_size=\"32874496\"] \n  13 -> 14 [size =\"32874496\"]\n  13 -> 15 [size =\"32874496\"]\n  14 [size=\"17094656\", alpha=\"0.06\", expect_size=\"8547328\"] \n  14 -> 17 [size =\"8547328\"]\n  14 -> 18 [size =\"8547328\"]\n  15 [size=\"24248320\", alpha=\"0.06\", expect_size=\"12124160\"] \n  15 -> 16 [size =\"12124160\"]\n  15 -> 17 [size =\"12124160\"]\n  16 [size=\"89116672\", alpha=\"0.08\", expect_size=\"44558336\"] \n  16 -> 20 [size =\"44558336\"]\n  16 -> 20 [size =\"44558336\"]\n  17 [size=\"94521344\", alpha=\"0.01\", expect_size=\"47260672\"] \n  17 -> 19 [size =\"47260672\"]\n  18 [size=\"36425728\", alpha=\"0.11\", expect_size=\"18212864\"] \n  18 -> 19 [size =\"18212864\"]\n  18 -> 20 [size =\"18212864\"]\n  19 [size=\"24549376\", alpha=\"0.01\", expect_size=\"12274688\"] \n  19 -> 21 [size =\"12274688\"]\n  19 -> 22 [size =\"12274688\"]\n  19 -> 23 [size =\"12274688\"]\n  20 [size=\"65449984\", alpha=\"0.15\", expect_size=\"32724992\"] \n  20 -> 21 [size =\"32724992\"]\n  20 -> 23 [size =\"32724992\"]\n  21 [size=\"24870912\", alpha=\"0.06\", expect_size=\"12435456\"] \n  21 -> 24 [size =\"12435456\"]\n  21 -> 25 [size =\"12435456\"]\n  21 -> 26 [size =\"12435456\"]\n  22 [size=\"96698368\", alpha=\"0.13\", expect_size=\"48349184\"] \n  22 -> 24 [size =\"48349184\"]\n  23 [size=\"66314240\", alpha=\"0.13\", expect_size=\"33157120\"] \n  23 -> 24 [size =\"33157120\"]\n  23 -> 26 [size =\"33157120\"]\n  24 [size=\"64462848\", alpha=\"0.14\", expect_size=\"32231424\"] \n  24 -> 27 [size =\"32231424\"]\n  25 [size=\"91752448\", alpha=\"0.15\", expect_size=\"45876224\"] \n  25 -> 28 [size =\"45876224\"]\n  26 [size=\"24612864\", alpha=\"0.14\", expect_size=\"12306432\"] \n  26 -> 28 [size =\"12306432\"]\n  27 [size=\"62126080\", alpha=\"0.12\", expect_size=\"31063040\"] \n  27 -> 29 [size =\"31063040\"]\n  27 -> 31 [size =\"31063040\"]\n  28 [size=\"68775936\", alpha=\"0.06\", expect_size=\"34387968\"] \n  28 -> 29 [size =\"34387968\"]\n  28 -> 30 [size =\"34387968\"]\n  28 -> 31 [size =\"34387968\"]\n  29 [size=\"27420672\", alpha=\"0.11\", expect_size=\"13710336\"] \n  29 -> 32 [size =\"13710336\"]\n  29 -> 33 [size =\"13710336\"]\n  30 [size=\"31995904\", alpha=\"0.04\", expect_size=\"15997952\"] \n  30 -> 32 [size =\"15997952\"]\n  30 -> 33 [size =\"15997952\"]\n  31 [size=\"102524928\", alpha=\"0.03\", expect_size=\"51262464\"] \n  31 -> 33 [size =\"51262464\"]\n  31 -> 34 [size =\"51262464\"]\n  32 [size=\"34215936\", alpha=\"0.13\", expect_size=\"17107968\"] \n  32 -> 35 [size =\"17107968\"]\n  32 -> 36 [size =\"17107968\"]\n  32 -> 37 [size =\"17107968\"]\n  33 [size=\"93908992\", alpha=\"0.15\", expect_size=\"46954496\"] \n  33 -> 36 [size =\"46954496\"]\n  34 [size=\"59402240\", alpha=\"0.18\", expect_size=\"29701120\"] \n  34 -> 37 [size =\"29701120\"]\n  35 [size=\"30902272\", alpha=\"0.04\", expect_size=\"15451136\"] \n  35 -> 38 [size =\"15451136\"]\n  35 -> 39 [size =\"15451136\"]\n  36 [size=\"100677632\", alpha=\"0.07\", expect_size=\"50338816\"] \n  36 -> 38 [size =\"50338816\"]\n  36 -> 40 [size =\"50338816\"]\n  37 [size=\"70154240\", alpha=\"0.08\", expect_size=\"35077120\"] \n  37 -> 38 [size =\"35077120\"]\n  38 [size=\"30732288\", alpha=\"0.14\", expect_size=\"15366144\"] \n  38 -> 42 [size =\"15366144\"]\n  38 -> 42 [size =\"15366144\"]\n  39 [size=\"57638912\", alpha=\"0.03\", expect_size=\"28819456\"] \n  40 [size=\"14108672\", alpha=\"0.04\", expect_size=\"7054336\"] \n  40 -> 41 [size =\"7054336\"]\n  40 -> 42 [size =\"7054336\"]\n  41 [size=\"33597440\", alpha=\"0.07\", expect_size=\"16798720\"] \n  41 -> 43 [size =\"16798720\"]\n  41 -> 44 [size =\"16798720\"]\n  42 [size=\"47519744\", alpha=\"0.10\", expect_size=\"23759872\"] \n  42 -> 43 [size =\"23759872\"]\n  42 -> 44 [size =\"23759872\"]\n  43 [size=\"14802944\", alpha=\"0.03\", expect_size=\"7401472\"] \n  43 -> 45 [size =\"7401472\"]\n  44 [size=\"85082112\", alpha=\"0.09\", expect_size=\"42541056\"] \n  45 [size=\"76220416\", alpha=\"0.11\", expect_size=\"38110208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21020160\", alpha=\"0.08\", expect_size=\"8408064\"] \n  1 -> 2 [size =\"8408064\"]\n  2 [size=\"65963520\", alpha=\"0.08\", expect_size=\"26385408\"] \n  2 -> 3 [size =\"26385408\"]\n  3 [size=\"57492480\", alpha=\"0.04\", expect_size=\"22996992\"] \n  3 -> 4 [size =\"22996992\"]\n  4 [size=\"28375040\", alpha=\"0.09\", expect_size=\"11350016\"] \n  4 -> 5 [size =\"11350016\"]\n  5 [size=\"74580480\", alpha=\"0.18\", expect_size=\"29832192\"] \n  5 -> 6 [size =\"29832192\"]\n  6 [size=\"37790720\", alpha=\"0.16\", expect_size=\"15116288\"] \n  6 -> 7 [size =\"15116288\"]\n  7 [size=\"52167680\", alpha=\"0.08\", expect_size=\"20867072\"] \n  7 -> 8 [size =\"20867072\"]\n  8 [size=\"94021120\", alpha=\"0.16\", expect_size=\"37608448\"] \n  8 -> 9 [size =\"37608448\"]\n  9 [size=\"66365440\", alpha=\"0.03\", expect_size=\"26546176\"] \n  9 -> 10 [size =\"26546176\"]\n  10 [size=\"97763840\", alpha=\"0.16\", expect_size=\"39105536\"] \n  10 -> 11 [size =\"39105536\"]\n  11 [size=\"88192000\", alpha=\"0.01\", expect_size=\"35276800\"] \n  11 -> 12 [size =\"35276800\"]\n  12 [size=\"18135040\", alpha=\"0.01\", expect_size=\"7254016\"] \n  12 -> 13 [size =\"7254016\"]\n  13 [size=\"65953280\", alpha=\"0.19\", expect_size=\"26381312\"] \n  13 -> 14 [size =\"26381312\"]\n  14 [size=\"90585600\", alpha=\"0.18\", expect_size=\"36234240\"] \n  14 -> 15 [size =\"36234240\"]\n  15 [size=\"25287680\", alpha=\"0.17\", expect_size=\"10115072\"] \n  15 -> 16 [size =\"10115072\"]\n  16 [size=\"14896640\", alpha=\"0.19\", expect_size=\"5958656\"] \n  16 -> 17 [size =\"5958656\"]\n  17 [size=\"106764800\", alpha=\"0.15\", expect_size=\"42705920\"] \n  17 -> 18 [size =\"42705920\"]\n  18 [size=\"34613760\", alpha=\"0.15\", expect_size=\"13845504\"] \n  18 -> 19 [size =\"13845504\"]\n  19 [size=\"126144000\", alpha=\"0.19\", expect_size=\"50457600\"] \n  19 -> 20 [size =\"50457600\"]\n  20 [size=\"24890880\", alpha=\"0.17\", expect_size=\"9956352\"] \n  20 -> 21 [size =\"9956352\"]\n  21 [size=\"118622720\", alpha=\"0.16\", expect_size=\"47449088\"] \n  21 -> 22 [size =\"47449088\"]\n  22 [size=\"126464000\", alpha=\"0.05\", expect_size=\"50585600\"] \n  22 -> 23 [size =\"50585600\"]\n  23 [size=\"13288960\", alpha=\"0.00\", expect_size=\"5315584\"] \n  23 -> 24 [size =\"5315584\"]\n  24 [size=\"123558400\", alpha=\"0.19\", expect_size=\"49423360\"] \n  24 -> 25 [size =\"49423360\"]\n  25 [size=\"113582080\", alpha=\"0.08\", expect_size=\"45432832\"] \n  25 -> 26 [size =\"45432832\"]\n  26 [size=\"93345280\", alpha=\"0.01\", expect_size=\"37338112\"] \n  26 -> 27 [size =\"37338112\"]\n  27 [size=\"84856320\", alpha=\"0.01\", expect_size=\"33942528\"] \n  27 -> 28 [size =\"33942528\"]\n  28 [size=\"53547520\", alpha=\"0.14\", expect_size=\"21419008\"] \n  28 -> 29 [size =\"21419008\"]\n  29 [size=\"25098240\", alpha=\"0.17\", expect_size=\"10039296\"] \n  29 -> 30 [size =\"10039296\"]\n  30 [size=\"17600000\", alpha=\"0.13\", expect_size=\"7040000\"] \n  30 -> 31 [size =\"7040000\"]\n  31 [size=\"116697600\", alpha=\"0.03\", expect_size=\"46679040\"] \n  31 -> 32 [size =\"46679040\"]\n  32 [size=\"94376960\", alpha=\"0.13\", expect_size=\"37750784\"] \n  32 -> 33 [size =\"37750784\"]\n  33 [size=\"121454080\", alpha=\"0.13\", expect_size=\"48581632\"] \n  33 -> 34 [size =\"48581632\"]\n  34 [size=\"124359680\", alpha=\"0.05\", expect_size=\"49743872\"] \n  34 -> 35 [size =\"49743872\"]\n  35 [size=\"118356480\", alpha=\"0.20\", expect_size=\"47342592\"] \n  35 -> 36 [size =\"47342592\"]\n  36 [size=\"46955520\", alpha=\"0.15\", expect_size=\"18782208\"] \n  36 -> 37 [size =\"18782208\"]\n  37 [size=\"52807680\", alpha=\"0.05\", expect_size=\"21123072\"] \n  37 -> 38 [size =\"21123072\"]\n  38 [size=\"57011200\", alpha=\"0.20\", expect_size=\"22804480\"] \n  38 -> 39 [size =\"22804480\"]\n  39 [size=\"22512640\", alpha=\"0.13\", expect_size=\"9005056\"] \n  39 -> 40 [size =\"9005056\"]\n  40 [size=\"120540160\", alpha=\"0.09\", expect_size=\"48216064\"] \n  40 -> 41 [size =\"48216064\"]\n  41 [size=\"81853440\", alpha=\"0.02\", expect_size=\"32741376\"] \n  41 -> 42 [size =\"32741376\"]\n  42 [size=\"99509760\", alpha=\"0.15\", expect_size=\"39803904\"] \n  42 -> 43 [size =\"39803904\"]\n  43 [size=\"60569600\", alpha=\"0.08\", expect_size=\"24227840\"] \n  43 -> 44 [size =\"24227840\"]\n  44 [size=\"17879040\", alpha=\"0.19\", expect_size=\"7151616\"] \n  44 -> 45 [size =\"7151616\"]\n  45 [size=\"48921600\", alpha=\"0.08\", expect_size=\"19568640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30433280\", alpha=\"0.18\", expect_size=\"12173312\"] \n  1 -> 7 [size =\"12173312\"]\n  1 -> 8 [size =\"12173312\"]\n  2 [size=\"82547200\", alpha=\"0.16\", expect_size=\"33018880\"] \n  2 -> 7 [size =\"33018880\"]\n  2 -> 9 [size =\"33018880\"]\n  2 -> 12 [size =\"33018880\"]\n  3 [size=\"76439040\", alpha=\"0.08\", expect_size=\"30575616\"] \n  3 -> 9 [size =\"30575616\"]\n  3 -> 11 [size =\"30575616\"]\n  4 [size=\"82324480\", alpha=\"0.01\", expect_size=\"32929792\"] \n  4 -> 7 [size =\"32929792\"]\n  4 -> 9 [size =\"32929792\"]\n  5 [size=\"16181760\", alpha=\"0.10\", expect_size=\"6472704\"] \n  5 -> 8 [size =\"6472704\"]\n  5 -> 9 [size =\"6472704\"]\n  5 -> 10 [size =\"6472704\"]\n  5 -> 11 [size =\"6472704\"]\n  6 [size=\"77112320\", alpha=\"0.16\", expect_size=\"30844928\"] \n  6 -> 8 [size =\"30844928\"]\n  6 -> 10 [size =\"30844928\"]\n  6 -> 11 [size =\"30844928\"]\n  6 -> 12 [size =\"30844928\"]\n  7 [size=\"109760000\", alpha=\"0.06\", expect_size=\"43904000\"] \n  7 -> 15 [size =\"43904000\"]\n  8 [size=\"61882880\", alpha=\"0.01\", expect_size=\"24753152\"] \n  8 -> 16 [size =\"24753152\"]\n  9 [size=\"76551680\", alpha=\"0.03\", expect_size=\"30620672\"] \n  9 -> 13 [size =\"30620672\"]\n  9 -> 14 [size =\"30620672\"]\n  9 -> 16 [size =\"30620672\"]\n  10 [size=\"70740480\", alpha=\"0.03\", expect_size=\"28296192\"] \n  10 -> 16 [size =\"28296192\"]\n  11 [size=\"76026880\", alpha=\"0.14\", expect_size=\"30410752\"] \n  11 -> 16 [size =\"30410752\"]\n  12 [size=\"63559680\", alpha=\"0.09\", expect_size=\"25423872\"] \n  12 -> 14 [size =\"25423872\"]\n  13 [size=\"42544640\", alpha=\"0.16\", expect_size=\"17017856\"] \n  13 -> 18 [size =\"17017856\"]\n  13 -> 20 [size =\"17017856\"]\n  13 -> 23 [size =\"17017856\"]\n  14 [size=\"90534400\", alpha=\"0.02\", expect_size=\"36213760\"] \n  14 -> 18 [size =\"36213760\"]\n  14 -> 22 [size =\"36213760\"]\n  15 [size=\"98782720\", alpha=\"0.17\", expect_size=\"39513088\"] \n  15 -> 17 [size =\"39513088\"]\n  15 -> 19 [size =\"39513088\"]\n  15 -> 20 [size =\"39513088\"]\n  15 -> 21 [size =\"39513088\"]\n  15 -> 23 [size =\"39513088\"]\n  16 [size=\"38868480\", alpha=\"0.11\", expect_size=\"15547392\"] \n  16 -> 17 [size =\"15547392\"]\n  16 -> 18 [size =\"15547392\"]\n  16 -> 19 [size =\"15547392\"]\n  16 -> 22 [size =\"15547392\"]\n  16 -> 23 [size =\"15547392\"]\n  17 [size=\"16176640\", alpha=\"0.14\", expect_size=\"6470656\"] \n  17 -> 24 [size =\"6470656\"]\n  17 -> 26 [size =\"6470656\"]\n  18 [size=\"52979200\", alpha=\"0.09\", expect_size=\"21191680\"] \n  19 [size=\"61432320\", alpha=\"0.02\", expect_size=\"24572928\"] \n  19 -> 27 [size =\"24572928\"]\n  20 [size=\"81774080\", alpha=\"0.05\", expect_size=\"32709632\"] \n  20 -> 24 [size =\"32709632\"]\n  20 -> 25 [size =\"32709632\"]\n  20 -> 26 [size =\"32709632\"]\n  21 [size=\"102200320\", alpha=\"0.11\", expect_size=\"40880128\"] \n  21 -> 25 [size =\"40880128\"]\n  21 -> 25 [size =\"40880128\"]\n  21 -> 26 [size =\"40880128\"]\n  22 [size=\"65945600\", alpha=\"0.09\", expect_size=\"26378240\"] \n  22 -> 24 [size =\"26378240\"]\n  22 -> 27 [size =\"26378240\"]\n  23 [size=\"118901760\", alpha=\"0.17\", expect_size=\"47560704\"] \n  23 -> 25 [size =\"47560704\"]\n  23 -> 27 [size =\"47560704\"]\n  24 [size=\"95257600\", alpha=\"0.17\", expect_size=\"38103040\"] \n  24 -> 28 [size =\"38103040\"]\n  24 -> 30 [size =\"38103040\"]\n  24 -> 33 [size =\"38103040\"]\n  24 -> 34 [size =\"38103040\"]\n  25 [size=\"109729280\", alpha=\"0.18\", expect_size=\"43891712\"] \n  25 -> 28 [size =\"43891712\"]\n  25 -> 29 [size =\"43891712\"]\n  25 -> 30 [size =\"43891712\"]\n  25 -> 31 [size =\"43891712\"]\n  25 -> 32 [size =\"43891712\"]\n  25 -> 34 [size =\"43891712\"]\n  26 [size=\"89927680\", alpha=\"0.10\", expect_size=\"35971072\"] \n  26 -> 29 [size =\"35971072\"]\n  26 -> 31 [size =\"35971072\"]\n  27 [size=\"34337280\", alpha=\"0.18\", expect_size=\"13734912\"] \n  27 -> 31 [size =\"13734912\"]\n  27 -> 32 [size =\"13734912\"]\n  27 -> 34 [size =\"13734912\"]\n  28 [size=\"114508800\", alpha=\"0.14\", expect_size=\"45803520\"] \n  28 -> 36 [size =\"45803520\"]\n  28 -> 37 [size =\"45803520\"]\n  28 -> 39 [size =\"45803520\"]\n  29 [size=\"49446400\", alpha=\"0.01\", expect_size=\"19778560\"] \n  29 -> 36 [size =\"19778560\"]\n  30 [size=\"61242880\", alpha=\"0.18\", expect_size=\"24497152\"] \n  30 -> 35 [size =\"24497152\"]\n  30 -> 36 [size =\"24497152\"]\n  30 -> 37 [size =\"24497152\"]\n  31 [size=\"90844160\", alpha=\"0.05\", expect_size=\"36337664\"] \n  31 -> 35 [size =\"36337664\"]\n  31 -> 37 [size =\"36337664\"]\n  31 -> 39 [size =\"36337664\"]\n  32 [size=\"37616640\", alpha=\"0.01\", expect_size=\"15046656\"] \n  32 -> 35 [size =\"15046656\"]\n  32 -> 36 [size =\"15046656\"]\n  32 -> 39 [size =\"15046656\"]\n  33 [size=\"88965120\", alpha=\"0.02\", expect_size=\"35586048\"] \n  33 -> 35 [size =\"35586048\"]\n  33 -> 38 [size =\"35586048\"]\n  34 [size=\"72291840\", alpha=\"0.16\", expect_size=\"28916736\"] \n  34 -> 37 [size =\"28916736\"]\n  35 [size=\"56816640\", alpha=\"0.05\", expect_size=\"22726656\"] \n  35 -> 41 [size =\"22726656\"]\n  35 -> 42 [size =\"22726656\"]\n  36 [size=\"45614080\", alpha=\"0.18\", expect_size=\"18245632\"] \n  36 -> 40 [size =\"18245632\"]\n  36 -> 42 [size =\"18245632\"]\n  37 [size=\"102689280\", alpha=\"0.11\", expect_size=\"41075712\"] \n  38 [size=\"88773120\", alpha=\"0.12\", expect_size=\"35509248\"] \n  38 -> 43 [size =\"35509248\"]\n  39 [size=\"52636160\", alpha=\"0.20\", expect_size=\"21054464\"] \n  39 -> 42 [size =\"21054464\"]\n  39 -> 43 [size =\"21054464\"]\n  40 [size=\"57728000\", alpha=\"0.00\", expect_size=\"23091200\"] \n  41 [size=\"43719680\", alpha=\"0.15\", expect_size=\"17487872\"] \n  42 [size=\"73530880\", alpha=\"0.19\", expect_size=\"29412352\"] \n  42 -> 44 [size =\"29412352\"]\n  42 -> 45 [size =\"29412352\"]\n  43 [size=\"79649280\", alpha=\"0.02\", expect_size=\"31859712\"] \n  43 -> 44 [size =\"31859712\"]\n  43 -> 45 [size =\"31859712\"]\n  44 [size=\"91514880\", alpha=\"0.18\", expect_size=\"36605952\"] \n  45 [size=\"68590080\", alpha=\"0.10\", expect_size=\"27436032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53551787\", alpha=\"0.19\", expect_size=\"16065536\"] \n  1 -> 31 [size =\"16065536\"]\n  1 -> 34 [size =\"16065536\"]\n  1 -> 35 [size =\"16065536\"]\n  1 -> 39 [size =\"16065536\"]\n  1 -> 43 [size =\"16065536\"]\n  1 -> 45 [size =\"16065536\"]\n  2 [size=\"157767680\", alpha=\"0.12\", expect_size=\"47330304\"] \n  2 -> 30 [size =\"47330304\"]\n  2 -> 34 [size =\"47330304\"]\n  2 -> 38 [size =\"47330304\"]\n  2 -> 39 [size =\"47330304\"]\n  2 -> 42 [size =\"47330304\"]\n  3 [size=\"41878187\", alpha=\"0.11\", expect_size=\"12563456\"] \n  3 -> 34 [size =\"12563456\"]\n  3 -> 38 [size =\"12563456\"]\n  3 -> 39 [size =\"12563456\"]\n  3 -> 42 [size =\"12563456\"]\n  3 -> 44 [size =\"12563456\"]\n  4 [size=\"51647147\", alpha=\"0.07\", expect_size=\"15494144\"] \n  4 -> 34 [size =\"15494144\"]\n  4 -> 39 [size =\"15494144\"]\n  4 -> 44 [size =\"15494144\"]\n  5 [size=\"65283413\", alpha=\"0.14\", expect_size=\"19585024\"] \n  5 -> 30 [size =\"19585024\"]\n  5 -> 34 [size =\"19585024\"]\n  5 -> 39 [size =\"19585024\"]\n  5 -> 43 [size =\"19585024\"]\n  5 -> 44 [size =\"19585024\"]\n  5 -> 45 [size =\"19585024\"]\n  6 [size=\"85729280\", alpha=\"0.03\", expect_size=\"25718784\"] \n  6 -> 31 [size =\"25718784\"]\n  6 -> 32 [size =\"25718784\"]\n  6 -> 34 [size =\"25718784\"]\n  6 -> 35 [size =\"25718784\"]\n  6 -> 43 [size =\"25718784\"]\n  6 -> 44 [size =\"25718784\"]\n  6 -> 45 [size =\"25718784\"]\n  7 [size=\"129604267\", alpha=\"0.12\", expect_size=\"38881280\"] \n  7 -> 30 [size =\"38881280\"]\n  7 -> 34 [size =\"38881280\"]\n  7 -> 34 [size =\"38881280\"]\n  7 -> 35 [size =\"38881280\"]\n  7 -> 38 [size =\"38881280\"]\n  7 -> 39 [size =\"38881280\"]\n  7 -> 41 [size =\"38881280\"]\n  7 -> 42 [size =\"38881280\"]\n  7 -> 44 [size =\"38881280\"]\n  8 [size=\"53998933\", alpha=\"0.13\", expect_size=\"16199680\"] \n  8 -> 30 [size =\"16199680\"]\n  8 -> 32 [size =\"16199680\"]\n  8 -> 34 [size =\"16199680\"]\n  8 -> 37 [size =\"16199680\"]\n  8 -> 38 [size =\"16199680\"]\n  8 -> 39 [size =\"16199680\"]\n  8 -> 41 [size =\"16199680\"]\n  8 -> 42 [size =\"16199680\"]\n  8 -> 44 [size =\"16199680\"]\n  8 -> 45 [size =\"16199680\"]\n  9 [size=\"52811093\", alpha=\"0.07\", expect_size=\"15843328\"] \n  9 -> 30 [size =\"15843328\"]\n  9 -> 32 [size =\"15843328\"]\n  9 -> 34 [size =\"15843328\"]\n  9 -> 38 [size =\"15843328\"]\n  9 -> 41 [size =\"15843328\"]\n  9 -> 44 [size =\"15843328\"]\n  10 [size=\"164802560\", alpha=\"0.13\", expect_size=\"49440768\"] \n  10 -> 32 [size =\"49440768\"]\n  10 -> 37 [size =\"49440768\"]\n  10 -> 39 [size =\"49440768\"]\n  11 [size=\"99587413\", alpha=\"0.04\", expect_size=\"29876224\"] \n  11 -> 31 [size =\"29876224\"]\n  11 -> 35 [size =\"29876224\"]\n  11 -> 37 [size =\"29876224\"]\n  11 -> 39 [size =\"29876224\"]\n  11 -> 41 [size =\"29876224\"]\n  11 -> 44 [size =\"29876224\"]\n  12 [size=\"94621013\", alpha=\"0.18\", expect_size=\"28386304\"] \n  12 -> 35 [size =\"28386304\"]\n  12 -> 36 [size =\"28386304\"]\n  12 -> 38 [size =\"28386304\"]\n  12 -> 39 [size =\"28386304\"]\n  12 -> 41 [size =\"28386304\"]\n  13 [size=\"30190933\", alpha=\"0.05\", expect_size=\"9057280\"] \n  13 -> 32 [size =\"9057280\"]\n  13 -> 35 [size =\"9057280\"]\n  13 -> 38 [size =\"9057280\"]\n  13 -> 41 [size =\"9057280\"]\n  13 -> 42 [size =\"9057280\"]\n  13 -> 44 [size =\"9057280\"]\n  14 [size=\"114834773\", alpha=\"0.13\", expect_size=\"34450432\"] \n  14 -> 35 [size =\"34450432\"]\n  14 -> 37 [size =\"34450432\"]\n  14 -> 44 [size =\"34450432\"]\n  15 [size=\"171407360\", alpha=\"0.02\", expect_size=\"51422208\"] \n  15 -> 34 [size =\"51422208\"]\n  15 -> 39 [size =\"51422208\"]\n  15 -> 44 [size =\"51422208\"]\n  16 [size=\"126412800\", alpha=\"0.01\", expect_size=\"37923840\"] \n  16 -> 31 [size =\"37923840\"]\n  16 -> 37 [size =\"37923840\"]\n  16 -> 39 [size =\"37923840\"]\n  16 -> 41 [size =\"37923840\"]\n  17 [size=\"149568853\", alpha=\"0.14\", expect_size=\"44870656\"] \n  17 -> 31 [size =\"44870656\"]\n  17 -> 33 [size =\"44870656\"]\n  17 -> 34 [size =\"44870656\"]\n  17 -> 38 [size =\"44870656\"]\n  17 -> 39 [size =\"44870656\"]\n  17 -> 41 [size =\"44870656\"]\n  17 -> 43 [size =\"44870656\"]\n  18 [size=\"89152853\", alpha=\"0.04\", expect_size=\"26745856\"] \n  18 -> 30 [size =\"26745856\"]\n  18 -> 34 [size =\"26745856\"]\n  18 -> 35 [size =\"26745856\"]\n  18 -> 38 [size =\"26745856\"]\n  18 -> 39 [size =\"26745856\"]\n  18 -> 41 [size =\"26745856\"]\n  18 -> 43 [size =\"26745856\"]\n  19 [size=\"35136853\", alpha=\"0.08\", expect_size=\"10541056\"] \n  19 -> 32 [size =\"10541056\"]\n  19 -> 34 [size =\"10541056\"]\n  19 -> 43 [size =\"10541056\"]\n  19 -> 44 [size =\"10541056\"]\n  20 [size=\"88285867\", alpha=\"0.01\", expect_size=\"26485760\"] \n  20 -> 31 [size =\"26485760\"]\n  20 -> 32 [size =\"26485760\"]\n  20 -> 35 [size =\"26485760\"]\n  20 -> 38 [size =\"26485760\"]\n  21 [size=\"36908373\", alpha=\"0.19\", expect_size=\"11072512\"] \n  21 -> 31 [size =\"11072512\"]\n  21 -> 32 [size =\"11072512\"]\n  21 -> 35 [size =\"11072512\"]\n  21 -> 41 [size =\"11072512\"]\n  21 -> 42 [size =\"11072512\"]\n  22 [size=\"67911680\", alpha=\"0.14\", expect_size=\"20373504\"] \n  22 -> 31 [size =\"20373504\"]\n  22 -> 35 [size =\"20373504\"]\n  22 -> 41 [size =\"20373504\"]\n  22 -> 42 [size =\"20373504\"]\n  22 -> 43 [size =\"20373504\"]\n  23 [size=\"55265280\", alpha=\"0.13\", expect_size=\"16579584\"] \n  23 -> 30 [size =\"16579584\"]\n  23 -> 31 [size =\"16579584\"]\n  23 -> 41 [size =\"16579584\"]\n  23 -> 42 [size =\"16579584\"]\n  23 -> 43 [size =\"16579584\"]\n  24 [size=\"92542293\", alpha=\"0.15\", expect_size=\"27762688\"] \n  24 -> 31 [size =\"27762688\"]\n  24 -> 32 [size =\"27762688\"]\n  25 [size=\"34283520\", alpha=\"0.04\", expect_size=\"10285056\"] \n  25 -> 33 [size =\"10285056\"]\n  25 -> 35 [size =\"10285056\"]\n  25 -> 38 [size =\"10285056\"]\n  25 -> 42 [size =\"10285056\"]\n  25 -> 43 [size =\"10285056\"]\n  26 [size=\"48001707\", alpha=\"0.02\", expect_size=\"14400512\"] \n  26 -> 30 [size =\"14400512\"]\n  26 -> 37 [size =\"14400512\"]\n  26 -> 38 [size =\"14400512\"]\n  26 -> 40 [size =\"14400512\"]\n  26 -> 41 [size =\"14400512\"]\n  26 -> 44 [size =\"14400512\"]\n  27 [size=\"57774080\", alpha=\"0.14\", expect_size=\"17332224\"] \n  27 -> 31 [size =\"17332224\"]\n  27 -> 37 [size =\"17332224\"]\n  27 -> 42 [size =\"17332224\"]\n  27 -> 44 [size =\"17332224\"]\n  28 [size=\"167642453\", alpha=\"0.10\", expect_size=\"50292736\"] \n  28 -> 30 [size =\"50292736\"]\n  28 -> 32 [size =\"50292736\"]\n  28 -> 37 [size =\"50292736\"]\n  28 -> 44 [size =\"50292736\"]\n  29 [size=\"42171733\", alpha=\"0.11\", expect_size=\"12651520\"] \n  29 -> 31 [size =\"12651520\"]\n  29 -> 37 [size =\"12651520\"]\n  29 -> 38 [size =\"12651520\"]\n  29 -> 43 [size =\"12651520\"]\n  29 -> 45 [size =\"12651520\"]\n  30 [size=\"107386880\", alpha=\"0.11\", expect_size=\"32216064\"] \n  31 [size=\"117149013\", alpha=\"0.01\", expect_size=\"35144704\"] \n  32 [size=\"107533653\", alpha=\"0.01\", expect_size=\"32260096\"] \n  33 [size=\"61549227\", alpha=\"0.03\", expect_size=\"18464768\"] \n  34 [size=\"160884053\", alpha=\"0.17\", expect_size=\"48265216\"] \n  35 [size=\"125139627\", alpha=\"0.10\", expect_size=\"37541888\"] \n  36 [size=\"159412907\", alpha=\"0.18\", expect_size=\"47823872\"] \n  37 [size=\"174673920\", alpha=\"0.02\", expect_size=\"52402176\"] \n  38 [size=\"125764267\", alpha=\"0.15\", expect_size=\"37729280\"] \n  39 [size=\"49210027\", alpha=\"0.11\", expect_size=\"14763008\"] \n  40 [size=\"137635840\", alpha=\"0.15\", expect_size=\"41290752\"] \n  41 [size=\"66505387\", alpha=\"0.02\", expect_size=\"19951616\"] \n  42 [size=\"75223040\", alpha=\"0.16\", expect_size=\"22566912\"] \n  43 [size=\"83647147\", alpha=\"0.14\", expect_size=\"25094144\"] \n  44 [size=\"104495787\", alpha=\"0.02\", expect_size=\"31348736\"] \n  45 [size=\"77844480\", alpha=\"0.11\", expect_size=\"23353344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68661760\", alpha=\"0.15\", expect_size=\"27464704\"] \n  2 [size=\"15669760\", alpha=\"0.19\", expect_size=\"6267904\"] \n  2 -> 3 [size =\"6267904\"]\n  2 -> 4 [size =\"6267904\"]\n  3 [size=\"85731840\", alpha=\"0.12\", expect_size=\"34292736\"] \n  3 -> 5 [size =\"34292736\"]\n  3 -> 6 [size =\"34292736\"]\n  3 -> 7 [size =\"34292736\"]\n  4 [size=\"15907840\", alpha=\"0.18\", expect_size=\"6363136\"] \n  5 [size=\"22118400\", alpha=\"0.14\", expect_size=\"8847360\"] \n  6 [size=\"100510720\", alpha=\"0.01\", expect_size=\"40204288\"] \n  6 -> 8 [size =\"40204288\"]\n  6 -> 10 [size =\"40204288\"]\n  7 [size=\"35079680\", alpha=\"0.06\", expect_size=\"14031872\"] \n  7 -> 9 [size =\"14031872\"]\n  8 [size=\"33638400\", alpha=\"0.07\", expect_size=\"13455360\"] \n  8 -> 11 [size =\"13455360\"]\n  9 [size=\"115814400\", alpha=\"0.13\", expect_size=\"46325760\"] \n  9 -> 12 [size =\"46325760\"]\n  10 [size=\"42521600\", alpha=\"0.02\", expect_size=\"17008640\"] \n  10 -> 12 [size =\"17008640\"]\n  11 [size=\"85424640\", alpha=\"0.10\", expect_size=\"34169856\"] \n  12 [size=\"55682560\", alpha=\"0.19\", expect_size=\"22273024\"] \n  12 -> 13 [size =\"22273024\"]\n  12 -> 14 [size =\"22273024\"]\n  13 [size=\"51752960\", alpha=\"0.02\", expect_size=\"20701184\"] \n  13 -> 16 [size =\"20701184\"]\n  14 [size=\"123463680\", alpha=\"0.03\", expect_size=\"49385472\"] \n  14 -> 15 [size =\"49385472\"]\n  15 [size=\"109893120\", alpha=\"0.13\", expect_size=\"43957248\"] \n  15 -> 17 [size =\"43957248\"]\n  15 -> 18 [size =\"43957248\"]\n  15 -> 19 [size =\"43957248\"]\n  16 [size=\"76938240\", alpha=\"0.09\", expect_size=\"30775296\"] \n  17 [size=\"83463680\", alpha=\"0.19\", expect_size=\"33385472\"] \n  17 -> 21 [size =\"33385472\"]\n  18 [size=\"121536000\", alpha=\"0.00\", expect_size=\"48614400\"] \n  18 -> 20 [size =\"48614400\"]\n  19 [size=\"46648320\", alpha=\"0.00\", expect_size=\"18659328\"] \n  20 [size=\"123781120\", alpha=\"0.12\", expect_size=\"49512448\"] \n  21 [size=\"19735040\", alpha=\"0.13\", expect_size=\"7894016\"] \n  21 -> 22 [size =\"7894016\"]\n  21 -> 23 [size =\"7894016\"]\n  21 -> 24 [size =\"7894016\"]\n  22 [size=\"76044800\", alpha=\"0.15\", expect_size=\"30417920\"] \n  22 -> 27 [size =\"30417920\"]\n  23 [size=\"70576640\", alpha=\"0.09\", expect_size=\"28230656\"] \n  23 -> 25 [size =\"28230656\"]\n  23 -> 26 [size =\"28230656\"]\n  24 [size=\"82342400\", alpha=\"0.04\", expect_size=\"32936960\"] \n  25 [size=\"101923840\", alpha=\"0.20\", expect_size=\"40769536\"] \n  25 -> 28 [size =\"40769536\"]\n  26 [size=\"59904000\", alpha=\"0.10\", expect_size=\"23961600\"] \n  26 -> 29 [size =\"23961600\"]\n  27 [size=\"113930240\", alpha=\"0.05\", expect_size=\"45572096\"] \n  28 [size=\"108331520\", alpha=\"0.03\", expect_size=\"43332608\"] \n  28 -> 31 [size =\"43332608\"]\n  29 [size=\"108810240\", alpha=\"0.18\", expect_size=\"43524096\"] \n  29 -> 30 [size =\"43524096\"]\n  29 -> 32 [size =\"43524096\"]\n  30 [size=\"111016960\", alpha=\"0.19\", expect_size=\"44406784\"] \n  31 [size=\"65067520\", alpha=\"0.12\", expect_size=\"26027008\"] \n  31 -> 33 [size =\"26027008\"]\n  31 -> 34 [size =\"26027008\"]\n  31 -> 35 [size =\"26027008\"]\n  32 [size=\"26513920\", alpha=\"0.12\", expect_size=\"10605568\"] \n  32 -> 34 [size =\"10605568\"]\n  32 -> 35 [size =\"10605568\"]\n  33 [size=\"115886080\", alpha=\"0.18\", expect_size=\"46354432\"] \n  34 [size=\"51916800\", alpha=\"0.03\", expect_size=\"20766720\"] \n  34 -> 37 [size =\"20766720\"]\n  35 [size=\"73338880\", alpha=\"0.05\", expect_size=\"29335552\"] \n  35 -> 36 [size =\"29335552\"]\n  36 [size=\"71193600\", alpha=\"0.17\", expect_size=\"28477440\"] \n  36 -> 38 [size =\"28477440\"]\n  36 -> 39 [size =\"28477440\"]\n  37 [size=\"14927360\", alpha=\"0.01\", expect_size=\"5970944\"] \n  38 [size=\"44474880\", alpha=\"0.04\", expect_size=\"17789952\"] \n  38 -> 40 [size =\"17789952\"]\n  38 -> 42 [size =\"17789952\"]\n  39 [size=\"62402560\", alpha=\"0.13\", expect_size=\"24961024\"] \n  39 -> 41 [size =\"24961024\"]\n  40 [size=\"53460480\", alpha=\"0.20\", expect_size=\"21384192\"] \n  40 -> 43 [size =\"21384192\"]\n  41 [size=\"47060480\", alpha=\"0.08\", expect_size=\"18824192\"] \n  42 [size=\"115525120\", alpha=\"0.07\", expect_size=\"46210048\"] \n  42 -> 44 [size =\"46210048\"]\n  43 [size=\"65500160\", alpha=\"0.16\", expect_size=\"26200064\"] \n  43 -> 45 [size =\"26200064\"]\n  44 [size=\"53596160\", alpha=\"0.16\", expect_size=\"21438464\"] \n  45 [size=\"72207360\", alpha=\"0.12\", expect_size=\"28882944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96044373\", alpha=\"0.06\", expect_size=\"28813312\"] \n  1 -> 4 [size =\"28813312\"]\n  2 [size=\"19428693\", alpha=\"0.19\", expect_size=\"5828608\"] \n  2 -> 3 [size =\"5828608\"]\n  3 [size=\"53428907\", alpha=\"0.12\", expect_size=\"16028672\"] \n  3 -> 5 [size =\"16028672\"]\n  3 -> 8 [size =\"16028672\"]\n  4 [size=\"29692587\", alpha=\"0.14\", expect_size=\"8907776\"] \n  4 -> 6 [size =\"8907776\"]\n  4 -> 7 [size =\"8907776\"]\n  4 -> 8 [size =\"8907776\"]\n  5 [size=\"50251093\", alpha=\"0.20\", expect_size=\"15075328\"] \n  6 [size=\"88057173\", alpha=\"0.06\", expect_size=\"26417152\"] \n  6 -> 9 [size =\"26417152\"]\n  7 [size=\"120715947\", alpha=\"0.19\", expect_size=\"36214784\"] \n  7 -> 9 [size =\"36214784\"]\n  7 -> 10 [size =\"36214784\"]\n  8 [size=\"85172907\", alpha=\"0.12\", expect_size=\"25551872\"] \n  9 [size=\"19131733\", alpha=\"0.03\", expect_size=\"5739520\"] \n  9 -> 11 [size =\"5739520\"]\n  9 -> 12 [size =\"5739520\"]\n  10 [size=\"30375253\", alpha=\"0.19\", expect_size=\"9112576\"] \n  10 -> 11 [size =\"9112576\"]\n  10 -> 12 [size =\"9112576\"]\n  11 [size=\"21862400\", alpha=\"0.14\", expect_size=\"6558720\"] \n  11 -> 14 [size =\"6558720\"]\n  11 -> 15 [size =\"6558720\"]\n  12 [size=\"69208747\", alpha=\"0.01\", expect_size=\"20762624\"] \n  12 -> 13 [size =\"20762624\"]\n  12 -> 14 [size =\"20762624\"]\n  12 -> 15 [size =\"20762624\"]\n  13 [size=\"58934613\", alpha=\"0.20\", expect_size=\"17680384\"] \n  13 -> 17 [size =\"17680384\"]\n  14 [size=\"150582613\", alpha=\"0.10\", expect_size=\"45174784\"] \n  14 -> 16 [size =\"45174784\"]\n  15 [size=\"106301440\", alpha=\"0.02\", expect_size=\"31890432\"] \n  15 -> 18 [size =\"31890432\"]\n  16 [size=\"104608427\", alpha=\"0.14\", expect_size=\"31382528\"] \n  16 -> 19 [size =\"31382528\"]\n  16 -> 20 [size =\"31382528\"]\n  17 [size=\"151104853\", alpha=\"0.01\", expect_size=\"45331456\"] \n  17 -> 21 [size =\"45331456\"]\n  18 [size=\"145592320\", alpha=\"0.15\", expect_size=\"43677696\"] \n  18 -> 19 [size =\"43677696\"]\n  18 -> 20 [size =\"43677696\"]\n  18 -> 21 [size =\"43677696\"]\n  19 [size=\"86517760\", alpha=\"0.07\", expect_size=\"25955328\"] \n  19 -> 23 [size =\"25955328\"]\n  20 [size=\"106410667\", alpha=\"0.05\", expect_size=\"31923200\"] \n  21 [size=\"95074987\", alpha=\"0.13\", expect_size=\"28522496\"] \n  21 -> 22 [size =\"28522496\"]\n  22 [size=\"45124267\", alpha=\"0.00\", expect_size=\"13537280\"] \n  23 [size=\"52080640\", alpha=\"0.13\", expect_size=\"15624192\"] \n  23 -> 24 [size =\"15624192\"]\n  23 -> 25 [size =\"15624192\"]\n  23 -> 26 [size =\"15624192\"]\n  24 [size=\"48448853\", alpha=\"0.07\", expect_size=\"14534656\"] \n  24 -> 27 [size =\"14534656\"]\n  24 -> 28 [size =\"14534656\"]\n  25 [size=\"124620800\", alpha=\"0.05\", expect_size=\"37386240\"] \n  25 -> 29 [size =\"37386240\"]\n  26 [size=\"142202880\", alpha=\"0.12\", expect_size=\"42660864\"] \n  26 -> 28 [size =\"42660864\"]\n  27 [size=\"92299947\", alpha=\"0.12\", expect_size=\"27689984\"] \n  28 [size=\"97491627\", alpha=\"0.01\", expect_size=\"29247488\"] \n  28 -> 30 [size =\"29247488\"]\n  28 -> 31 [size =\"29247488\"]\n  28 -> 32 [size =\"29247488\"]\n  29 [size=\"60603733\", alpha=\"0.10\", expect_size=\"18181120\"] \n  29 -> 30 [size =\"18181120\"]\n  29 -> 33 [size =\"18181120\"]\n  30 [size=\"118603093\", alpha=\"0.01\", expect_size=\"35580928\"] \n  31 [size=\"157866667\", alpha=\"0.12\", expect_size=\"47360000\"] \n  31 -> 35 [size =\"47360000\"]\n  31 -> 36 [size =\"47360000\"]\n  32 [size=\"99672747\", alpha=\"0.10\", expect_size=\"29901824\"] \n  32 -> 34 [size =\"29901824\"]\n  32 -> 36 [size =\"29901824\"]\n  33 [size=\"103266987\", alpha=\"0.13\", expect_size=\"30980096\"] \n  33 -> 34 [size =\"30980096\"]\n  33 -> 36 [size =\"30980096\"]\n  34 [size=\"47319040\", alpha=\"0.13\", expect_size=\"14195712\"] \n  34 -> 37 [size =\"14195712\"]\n  35 [size=\"101331627\", alpha=\"0.05\", expect_size=\"30399488\"] \n  36 [size=\"140789760\", alpha=\"0.07\", expect_size=\"42236928\"] \n  37 [size=\"78994773\", alpha=\"0.07\", expect_size=\"23698432\"] \n  37 -> 38 [size =\"23698432\"]\n  37 -> 39 [size =\"23698432\"]\n  38 [size=\"19186347\", alpha=\"0.02\", expect_size=\"5755904\"] \n  38 -> 42 [size =\"5755904\"]\n  39 [size=\"29064533\", alpha=\"0.07\", expect_size=\"8719360\"] \n  39 -> 40 [size =\"8719360\"]\n  39 -> 41 [size =\"8719360\"]\n  39 -> 42 [size =\"8719360\"]\n  40 [size=\"110284800\", alpha=\"0.02\", expect_size=\"33085440\"] \n  40 -> 43 [size =\"33085440\"]\n  40 -> 45 [size =\"33085440\"]\n  41 [size=\"118463147\", alpha=\"0.08\", expect_size=\"35538944\"] \n  41 -> 43 [size =\"35538944\"]\n  41 -> 44 [size =\"35538944\"]\n  42 [size=\"57989120\", alpha=\"0.17\", expect_size=\"17396736\"] \n  42 -> 45 [size =\"17396736\"]\n  43 [size=\"137881600\", alpha=\"0.11\", expect_size=\"41364480\"] \n  44 [size=\"85029547\", alpha=\"0.08\", expect_size=\"25508864\"] \n  45 [size=\"32542720\", alpha=\"0.20\", expect_size=\"9762816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24639488\", alpha=\"0.13\", expect_size=\"12319744\"] \n  1 -> 4 [size =\"12319744\"]\n  1 -> 5 [size =\"12319744\"]\n  1 -> 6 [size =\"12319744\"]\n  2 [size=\"55883776\", alpha=\"0.10\", expect_size=\"27941888\"] \n  2 -> 4 [size =\"27941888\"]\n  3 [size=\"95870976\", alpha=\"0.00\", expect_size=\"47935488\"] \n  3 -> 4 [size =\"47935488\"]\n  3 -> 5 [size =\"47935488\"]\n  3 -> 6 [size =\"47935488\"]\n  4 [size=\"96710656\", alpha=\"0.07\", expect_size=\"48355328\"] \n  4 -> 7 [size =\"48355328\"]\n  4 -> 8 [size =\"48355328\"]\n  5 [size=\"46125056\", alpha=\"0.18\", expect_size=\"23062528\"] \n  5 -> 7 [size =\"23062528\"]\n  5 -> 8 [size =\"23062528\"]\n  5 -> 9 [size =\"23062528\"]\n  6 [size=\"98209792\", alpha=\"0.20\", expect_size=\"49104896\"] \n  6 -> 7 [size =\"49104896\"]\n  6 -> 8 [size =\"49104896\"]\n  6 -> 9 [size =\"49104896\"]\n  7 [size=\"25053184\", alpha=\"0.17\", expect_size=\"12526592\"] \n  7 -> 11 [size =\"12526592\"]\n  7 -> 12 [size =\"12526592\"]\n  8 [size=\"72001536\", alpha=\"0.09\", expect_size=\"36000768\"] \n  8 -> 10 [size =\"36000768\"]\n  8 -> 11 [size =\"36000768\"]\n  8 -> 12 [size =\"36000768\"]\n  9 [size=\"90857472\", alpha=\"0.13\", expect_size=\"45428736\"] \n  9 -> 10 [size =\"45428736\"]\n  9 -> 12 [size =\"45428736\"]\n  10 [size=\"21663744\", alpha=\"0.09\", expect_size=\"10831872\"] \n  10 -> 13 [size =\"10831872\"]\n  10 -> 14 [size =\"10831872\"]\n  11 [size=\"24977408\", alpha=\"0.12\", expect_size=\"12488704\"] \n  11 -> 13 [size =\"12488704\"]\n  11 -> 14 [size =\"12488704\"]\n  12 [size=\"87775232\", alpha=\"0.19\", expect_size=\"43887616\"] \n  12 -> 13 [size =\"43887616\"]\n  12 -> 14 [size =\"43887616\"]\n  13 [size=\"38752256\", alpha=\"0.10\", expect_size=\"19376128\"] \n  13 -> 15 [size =\"19376128\"]\n  13 -> 16 [size =\"19376128\"]\n  14 [size=\"39565312\", alpha=\"0.08\", expect_size=\"19782656\"] \n  14 -> 15 [size =\"19782656\"]\n  14 -> 16 [size =\"19782656\"]\n  15 [size=\"72546304\", alpha=\"0.06\", expect_size=\"36273152\"] \n  15 -> 17 [size =\"36273152\"]\n  15 -> 18 [size =\"36273152\"]\n  15 -> 19 [size =\"36273152\"]\n  16 [size=\"64845824\", alpha=\"0.04\", expect_size=\"32422912\"] \n  16 -> 17 [size =\"32422912\"]\n  16 -> 18 [size =\"32422912\"]\n  16 -> 19 [size =\"32422912\"]\n  17 [size=\"64563200\", alpha=\"0.19\", expect_size=\"32281600\"] \n  17 -> 20 [size =\"32281600\"]\n  17 -> 21 [size =\"32281600\"]\n  17 -> 22 [size =\"32281600\"]\n  18 [size=\"51781632\", alpha=\"0.00\", expect_size=\"25890816\"] \n  18 -> 20 [size =\"25890816\"]\n  18 -> 21 [size =\"25890816\"]\n  19 [size=\"95934464\", alpha=\"0.18\", expect_size=\"47967232\"] \n  19 -> 20 [size =\"47967232\"]\n  19 -> 21 [size =\"47967232\"]\n  19 -> 22 [size =\"47967232\"]\n  20 [size=\"62720000\", alpha=\"0.01\", expect_size=\"31360000\"] \n  20 -> 23 [size =\"31360000\"]\n  20 -> 24 [size =\"31360000\"]\n  21 [size=\"12081152\", alpha=\"0.07\", expect_size=\"6040576\"] \n  21 -> 23 [size =\"6040576\"]\n  21 -> 24 [size =\"6040576\"]\n  22 [size=\"68306944\", alpha=\"0.02\", expect_size=\"34153472\"] \n  22 -> 23 [size =\"34153472\"]\n  22 -> 24 [size =\"34153472\"]\n  23 [size=\"63164416\", alpha=\"0.15\", expect_size=\"31582208\"] \n  23 -> 25 [size =\"31582208\"]\n  23 -> 26 [size =\"31582208\"]\n  24 [size=\"15814656\", alpha=\"0.06\", expect_size=\"7907328\"] \n  24 -> 25 [size =\"7907328\"]\n  24 -> 26 [size =\"7907328\"]\n  25 [size=\"55052288\", alpha=\"0.06\", expect_size=\"27526144\"] \n  25 -> 27 [size =\"27526144\"]\n  25 -> 28 [size =\"27526144\"]\n  26 [size=\"85606400\", alpha=\"0.03\", expect_size=\"42803200\"] \n  26 -> 27 [size =\"42803200\"]\n  26 -> 28 [size =\"42803200\"]\n  26 -> 29 [size =\"42803200\"]\n  27 [size=\"102778880\", alpha=\"0.04\", expect_size=\"51389440\"] \n  27 -> 30 [size =\"51389440\"]\n  27 -> 31 [size =\"51389440\"]\n  28 [size=\"96727040\", alpha=\"0.18\", expect_size=\"48363520\"] \n  28 -> 30 [size =\"48363520\"]\n  29 [size=\"98973696\", alpha=\"0.09\", expect_size=\"49486848\"] \n  29 -> 30 [size =\"49486848\"]\n  30 [size=\"91676672\", alpha=\"0.02\", expect_size=\"45838336\"] \n  30 -> 32 [size =\"45838336\"]\n  30 -> 34 [size =\"45838336\"]\n  31 [size=\"96372736\", alpha=\"0.18\", expect_size=\"48186368\"] \n  31 -> 33 [size =\"48186368\"]\n  31 -> 34 [size =\"48186368\"]\n  32 [size=\"32845824\", alpha=\"0.11\", expect_size=\"16422912\"] \n  32 -> 35 [size =\"16422912\"]\n  32 -> 36 [size =\"16422912\"]\n  33 [size=\"40867840\", alpha=\"0.09\", expect_size=\"20433920\"] \n  33 -> 35 [size =\"20433920\"]\n  33 -> 36 [size =\"20433920\"]\n  34 [size=\"17080320\", alpha=\"0.14\", expect_size=\"8540160\"] \n  34 -> 35 [size =\"8540160\"]\n  34 -> 36 [size =\"8540160\"]\n  35 [size=\"47708160\", alpha=\"0.12\", expect_size=\"23854080\"] \n  35 -> 37 [size =\"23854080\"]\n  35 -> 38 [size =\"23854080\"]\n  36 [size=\"74024960\", alpha=\"0.02\", expect_size=\"37012480\"] \n  36 -> 37 [size =\"37012480\"]\n  36 -> 38 [size =\"37012480\"]\n  37 [size=\"89378816\", alpha=\"0.03\", expect_size=\"44689408\"] \n  37 -> 39 [size =\"44689408\"]\n  37 -> 40 [size =\"44689408\"]\n  38 [size=\"13969408\", alpha=\"0.12\", expect_size=\"6984704\"] \n  38 -> 39 [size =\"6984704\"]\n  38 -> 40 [size =\"6984704\"]\n  39 [size=\"98056192\", alpha=\"0.00\", expect_size=\"49028096\"] \n  39 -> 41 [size =\"49028096\"]\n  39 -> 43 [size =\"49028096\"]\n  40 [size=\"44521472\", alpha=\"0.19\", expect_size=\"22260736\"] \n  40 -> 42 [size =\"22260736\"]\n  41 [size=\"53291008\", alpha=\"0.18\", expect_size=\"26645504\"] \n  41 -> 44 [size =\"26645504\"]\n  41 -> 45 [size =\"26645504\"]\n  42 [size=\"44484608\", alpha=\"0.10\", expect_size=\"22242304\"] \n  42 -> 44 [size =\"22242304\"]\n  42 -> 45 [size =\"22242304\"]\n  43 [size=\"95393792\", alpha=\"0.12\", expect_size=\"47696896\"] \n  43 -> 44 [size =\"47696896\"]\n  44 [size=\"45543424\", alpha=\"0.16\", expect_size=\"22771712\"] \n  45 [size=\"18384896\", alpha=\"0.09\", expect_size=\"9192448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84416512\", alpha=\"0.17\", expect_size=\"42208256\"] \n  1 -> 27 [size =\"42208256\"]\n  2 [size=\"18702336\", alpha=\"0.04\", expect_size=\"9351168\"] \n  2 -> 18 [size =\"9351168\"]\n  2 -> 19 [size =\"9351168\"]\n  2 -> 20 [size =\"9351168\"]\n  2 -> 22 [size =\"9351168\"]\n  2 -> 23 [size =\"9351168\"]\n  2 -> 26 [size =\"9351168\"]\n  2 -> 27 [size =\"9351168\"]\n  3 [size=\"77926400\", alpha=\"0.09\", expect_size=\"38963200\"] \n  3 -> 20 [size =\"38963200\"]\n  3 -> 21 [size =\"38963200\"]\n  3 -> 27 [size =\"38963200\"]\n  4 [size=\"36608000\", alpha=\"0.13\", expect_size=\"18304000\"] \n  4 -> 15 [size =\"18304000\"]\n  4 -> 22 [size =\"18304000\"]\n  4 -> 26 [size =\"18304000\"]\n  5 [size=\"85315584\", alpha=\"0.16\", expect_size=\"42657792\"] \n  5 -> 15 [size =\"42657792\"]\n  5 -> 22 [size =\"42657792\"]\n  5 -> 27 [size =\"42657792\"]\n  6 [size=\"24590336\", alpha=\"0.01\", expect_size=\"12295168\"] \n  6 -> 17 [size =\"12295168\"]\n  6 -> 19 [size =\"12295168\"]\n  6 -> 20 [size =\"12295168\"]\n  6 -> 26 [size =\"12295168\"]\n  7 [size=\"49635328\", alpha=\"0.05\", expect_size=\"24817664\"] \n  7 -> 16 [size =\"24817664\"]\n  7 -> 17 [size =\"24817664\"]\n  7 -> 23 [size =\"24817664\"]\n  7 -> 26 [size =\"24817664\"]\n  8 [size=\"50982912\", alpha=\"0.16\", expect_size=\"25491456\"] \n  8 -> 17 [size =\"25491456\"]\n  8 -> 21 [size =\"25491456\"]\n  8 -> 22 [size =\"25491456\"]\n  8 -> 24 [size =\"25491456\"]\n  8 -> 27 [size =\"25491456\"]\n  9 [size=\"35813376\", alpha=\"0.13\", expect_size=\"17906688\"] \n  9 -> 19 [size =\"17906688\"]\n  9 -> 20 [size =\"17906688\"]\n  9 -> 22 [size =\"17906688\"]\n  9 -> 24 [size =\"17906688\"]\n  9 -> 25 [size =\"17906688\"]\n  9 -> 26 [size =\"17906688\"]\n  10 [size=\"93960192\", alpha=\"0.18\", expect_size=\"46980096\"] \n  10 -> 20 [size =\"46980096\"]\n  10 -> 21 [size =\"46980096\"]\n  10 -> 22 [size =\"46980096\"]\n  10 -> 23 [size =\"46980096\"]\n  10 -> 24 [size =\"46980096\"]\n  10 -> 26 [size =\"46980096\"]\n  10 -> 27 [size =\"46980096\"]\n  11 [size=\"22085632\", alpha=\"0.00\", expect_size=\"11042816\"] \n  11 -> 17 [size =\"11042816\"]\n  11 -> 20 [size =\"11042816\"]\n  11 -> 26 [size =\"11042816\"]\n  12 [size=\"104054784\", alpha=\"0.05\", expect_size=\"52027392\"] \n  12 -> 18 [size =\"52027392\"]\n  12 -> 21 [size =\"52027392\"]\n  12 -> 22 [size =\"52027392\"]\n  12 -> 23 [size =\"52027392\"]\n  12 -> 26 [size =\"52027392\"]\n  13 [size=\"30736384\", alpha=\"0.09\", expect_size=\"15368192\"] \n  13 -> 21 [size =\"15368192\"]\n  13 -> 27 [size =\"15368192\"]\n  14 [size=\"71987200\", alpha=\"0.17\", expect_size=\"35993600\"] \n  14 -> 17 [size =\"35993600\"]\n  14 -> 20 [size =\"35993600\"]\n  14 -> 22 [size =\"35993600\"]\n  14 -> 24 [size =\"35993600\"]\n  15 [size=\"39211008\", alpha=\"0.08\", expect_size=\"19605504\"] \n  15 -> 28 [size =\"19605504\"]\n  15 -> 33 [size =\"19605504\"]\n  16 [size=\"20615168\", alpha=\"0.06\", expect_size=\"10307584\"] \n  16 -> 28 [size =\"10307584\"]\n  16 -> 30 [size =\"10307584\"]\n  16 -> 34 [size =\"10307584\"]\n  16 -> 37 [size =\"10307584\"]\n  16 -> 39 [size =\"10307584\"]\n  16 -> 40 [size =\"10307584\"]\n  17 [size=\"25329664\", alpha=\"0.16\", expect_size=\"12664832\"] \n  17 -> 30 [size =\"12664832\"]\n  17 -> 33 [size =\"12664832\"]\n  18 [size=\"46972928\", alpha=\"0.19\", expect_size=\"23486464\"] \n  18 -> 35 [size =\"23486464\"]\n  19 [size=\"25884672\", alpha=\"0.07\", expect_size=\"12942336\"] \n  19 -> 34 [size =\"12942336\"]\n  19 -> 38 [size =\"12942336\"]\n  20 [size=\"85448704\", alpha=\"0.19\", expect_size=\"42724352\"] \n  20 -> 29 [size =\"42724352\"]\n  20 -> 30 [size =\"42724352\"]\n  20 -> 34 [size =\"42724352\"]\n  20 -> 35 [size =\"42724352\"]\n  20 -> 38 [size =\"42724352\"]\n  21 [size=\"77717504\", alpha=\"0.07\", expect_size=\"38858752\"] \n  21 -> 28 [size =\"38858752\"]\n  21 -> 30 [size =\"38858752\"]\n  21 -> 33 [size =\"38858752\"]\n  21 -> 34 [size =\"38858752\"]\n  21 -> 35 [size =\"38858752\"]\n  21 -> 36 [size =\"38858752\"]\n  21 -> 38 [size =\"38858752\"]\n  21 -> 39 [size =\"38858752\"]\n  22 [size=\"78053376\", alpha=\"0.17\", expect_size=\"39026688\"] \n  22 -> 31 [size =\"39026688\"]\n  22 -> 32 [size =\"39026688\"]\n  22 -> 33 [size =\"39026688\"]\n  22 -> 36 [size =\"39026688\"]\n  22 -> 38 [size =\"39026688\"]\n  22 -> 39 [size =\"39026688\"]\n  23 [size=\"102338560\", alpha=\"0.01\", expect_size=\"51169280\"] \n  23 -> 32 [size =\"51169280\"]\n  23 -> 33 [size =\"51169280\"]\n  23 -> 35 [size =\"51169280\"]\n  23 -> 36 [size =\"51169280\"]\n  23 -> 39 [size =\"51169280\"]\n  24 [size=\"48828416\", alpha=\"0.11\", expect_size=\"24414208\"] \n  24 -> 28 [size =\"24414208\"]\n  24 -> 30 [size =\"24414208\"]\n  24 -> 32 [size =\"24414208\"]\n  24 -> 33 [size =\"24414208\"]\n  24 -> 36 [size =\"24414208\"]\n  24 -> 39 [size =\"24414208\"]\n  25 [size=\"35930112\", alpha=\"0.16\", expect_size=\"17965056\"] \n  25 -> 32 [size =\"17965056\"]\n  25 -> 33 [size =\"17965056\"]\n  25 -> 34 [size =\"17965056\"]\n  25 -> 36 [size =\"17965056\"]\n  25 -> 38 [size =\"17965056\"]\n  26 [size=\"75905024\", alpha=\"0.04\", expect_size=\"37952512\"] \n  26 -> 31 [size =\"37952512\"]\n  26 -> 32 [size =\"37952512\"]\n  26 -> 36 [size =\"37952512\"]\n  26 -> 38 [size =\"37952512\"]\n  27 [size=\"102074368\", alpha=\"0.01\", expect_size=\"51037184\"] \n  27 -> 28 [size =\"51037184\"]\n  27 -> 30 [size =\"51037184\"]\n  27 -> 32 [size =\"51037184\"]\n  27 -> 40 [size =\"51037184\"]\n  28 [size=\"81702912\", alpha=\"0.06\", expect_size=\"40851456\"] \n  28 -> 42 [size =\"40851456\"]\n  28 -> 43 [size =\"40851456\"]\n  28 -> 44 [size =\"40851456\"]\n  29 [size=\"77662208\", alpha=\"0.17\", expect_size=\"38831104\"] \n  29 -> 41 [size =\"38831104\"]\n  29 -> 45 [size =\"38831104\"]\n  30 [size=\"17215488\", alpha=\"0.05\", expect_size=\"8607744\"] \n  30 -> 41 [size =\"8607744\"]\n  30 -> 43 [size =\"8607744\"]\n  30 -> 45 [size =\"8607744\"]\n  31 [size=\"14768128\", alpha=\"0.16\", expect_size=\"7384064\"] \n  31 -> 45 [size =\"7384064\"]\n  32 [size=\"49883136\", alpha=\"0.07\", expect_size=\"24941568\"] \n  32 -> 45 [size =\"24941568\"]\n  33 [size=\"36403200\", alpha=\"0.02\", expect_size=\"18201600\"] \n  33 -> 42 [size =\"18201600\"]\n  33 -> 43 [size =\"18201600\"]\n  33 -> 45 [size =\"18201600\"]\n  34 [size=\"41771008\", alpha=\"0.10\", expect_size=\"20885504\"] \n  34 -> 41 [size =\"20885504\"]\n  34 -> 43 [size =\"20885504\"]\n  34 -> 45 [size =\"20885504\"]\n  35 [size=\"92108800\", alpha=\"0.04\", expect_size=\"46054400\"] \n  35 -> 41 [size =\"46054400\"]\n  35 -> 42 [size =\"46054400\"]\n  35 -> 44 [size =\"46054400\"]\n  35 -> 45 [size =\"46054400\"]\n  36 [size=\"73504768\", alpha=\"0.20\", expect_size=\"36752384\"] \n  36 -> 41 [size =\"36752384\"]\n  36 -> 43 [size =\"36752384\"]\n  36 -> 44 [size =\"36752384\"]\n  37 [size=\"94435328\", alpha=\"0.19\", expect_size=\"47217664\"] \n  37 -> 41 [size =\"47217664\"]\n  37 -> 44 [size =\"47217664\"]\n  38 [size=\"99680256\", alpha=\"0.06\", expect_size=\"49840128\"] \n  38 -> 41 [size =\"49840128\"]\n  39 [size=\"35364864\", alpha=\"0.16\", expect_size=\"17682432\"] \n  39 -> 41 [size =\"17682432\"]\n  39 -> 43 [size =\"17682432\"]\n  39 -> 44 [size =\"17682432\"]\n  40 [size=\"21190656\", alpha=\"0.03\", expect_size=\"10595328\"] \n  40 -> 43 [size =\"10595328\"]\n  40 -> 44 [size =\"10595328\"]\n  40 -> 45 [size =\"10595328\"]\n  41 [size=\"46260224\", alpha=\"0.03\", expect_size=\"23130112\"] \n  42 [size=\"27801600\", alpha=\"0.18\", expect_size=\"13900800\"] \n  43 [size=\"59385856\", alpha=\"0.12\", expect_size=\"29692928\"] \n  44 [size=\"66891776\", alpha=\"0.14\", expect_size=\"33445888\"] \n  45 [size=\"17453056\", alpha=\"0.02\", expect_size=\"8726528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43243520\", alpha=\"0.20\", expect_size=\"21621760\"] \n  1 -> 2 [size =\"21621760\"]\n  2 [size=\"25755648\", alpha=\"0.02\", expect_size=\"12877824\"] \n  2 -> 3 [size =\"12877824\"]\n  3 [size=\"60370944\", alpha=\"0.01\", expect_size=\"30185472\"] \n  3 -> 4 [size =\"30185472\"]\n  4 [size=\"20289536\", alpha=\"0.10\", expect_size=\"10144768\"] \n  4 -> 5 [size =\"10144768\"]\n  5 [size=\"31227904\", alpha=\"0.04\", expect_size=\"15613952\"] \n  5 -> 6 [size =\"15613952\"]\n  6 [size=\"56231936\", alpha=\"0.08\", expect_size=\"28115968\"] \n  6 -> 7 [size =\"28115968\"]\n  7 [size=\"15499264\", alpha=\"0.11\", expect_size=\"7749632\"] \n  7 -> 8 [size =\"7749632\"]\n  8 [size=\"57354240\", alpha=\"0.04\", expect_size=\"28677120\"] \n  8 -> 9 [size =\"28677120\"]\n  9 [size=\"75247616\", alpha=\"0.17\", expect_size=\"37623808\"] \n  9 -> 10 [size =\"37623808\"]\n  10 [size=\"104845312\", alpha=\"0.01\", expect_size=\"52422656\"] \n  10 -> 11 [size =\"52422656\"]\n  11 [size=\"70881280\", alpha=\"0.07\", expect_size=\"35440640\"] \n  11 -> 12 [size =\"35440640\"]\n  12 [size=\"69904384\", alpha=\"0.08\", expect_size=\"34952192\"] \n  12 -> 13 [size =\"34952192\"]\n  13 [size=\"78874624\", alpha=\"0.16\", expect_size=\"39437312\"] \n  13 -> 14 [size =\"39437312\"]\n  14 [size=\"82501632\", alpha=\"0.05\", expect_size=\"41250816\"] \n  14 -> 15 [size =\"41250816\"]\n  15 [size=\"36413440\", alpha=\"0.14\", expect_size=\"18206720\"] \n  15 -> 16 [size =\"18206720\"]\n  16 [size=\"53962752\", alpha=\"0.07\", expect_size=\"26981376\"] \n  16 -> 17 [size =\"26981376\"]\n  17 [size=\"93775872\", alpha=\"0.13\", expect_size=\"46887936\"] \n  17 -> 18 [size =\"46887936\"]\n  18 [size=\"52576256\", alpha=\"0.20\", expect_size=\"26288128\"] \n  18 -> 19 [size =\"26288128\"]\n  19 [size=\"69359616\", alpha=\"0.05\", expect_size=\"34679808\"] \n  19 -> 20 [size =\"34679808\"]\n  20 [size=\"57395200\", alpha=\"0.03\", expect_size=\"28697600\"] \n  20 -> 21 [size =\"28697600\"]\n  21 [size=\"64456704\", alpha=\"0.08\", expect_size=\"32228352\"] \n  21 -> 22 [size =\"32228352\"]\n  22 [size=\"99678208\", alpha=\"0.16\", expect_size=\"49839104\"] \n  22 -> 23 [size =\"49839104\"]\n  23 [size=\"41996288\", alpha=\"0.15\", expect_size=\"20998144\"] \n  23 -> 24 [size =\"20998144\"]\n  24 [size=\"21540864\", alpha=\"0.15\", expect_size=\"10770432\"] \n  24 -> 25 [size =\"10770432\"]\n  25 [size=\"45441024\", alpha=\"0.00\", expect_size=\"22720512\"] \n  25 -> 26 [size =\"22720512\"]\n  26 [size=\"17295360\", alpha=\"0.15\", expect_size=\"8647680\"] \n  26 -> 27 [size =\"8647680\"]\n  27 [size=\"50307072\", alpha=\"0.11\", expect_size=\"25153536\"] \n  27 -> 28 [size =\"25153536\"]\n  28 [size=\"17434624\", alpha=\"0.17\", expect_size=\"8717312\"] \n  28 -> 29 [size =\"8717312\"]\n  29 [size=\"16304128\", alpha=\"0.16\", expect_size=\"8152064\"] \n  29 -> 30 [size =\"8152064\"]\n  30 [size=\"41306112\", alpha=\"0.16\", expect_size=\"20653056\"] \n  30 -> 31 [size =\"20653056\"]\n  31 [size=\"56270848\", alpha=\"0.08\", expect_size=\"28135424\"] \n  31 -> 32 [size =\"28135424\"]\n  32 [size=\"93954048\", alpha=\"0.13\", expect_size=\"46977024\"] \n  32 -> 33 [size =\"46977024\"]\n  33 [size=\"75255808\", alpha=\"0.13\", expect_size=\"37627904\"] \n  33 -> 34 [size =\"37627904\"]\n  34 [size=\"50061312\", alpha=\"0.07\", expect_size=\"25030656\"] \n  34 -> 35 [size =\"25030656\"]\n  35 [size=\"28178432\", alpha=\"0.07\", expect_size=\"14089216\"] \n  35 -> 36 [size =\"14089216\"]\n  36 [size=\"30347264\", alpha=\"0.17\", expect_size=\"15173632\"] \n  36 -> 37 [size =\"15173632\"]\n  37 [size=\"102316032\", alpha=\"0.04\", expect_size=\"51158016\"] \n  37 -> 38 [size =\"51158016\"]\n  38 [size=\"60354560\", alpha=\"0.20\", expect_size=\"30177280\"] \n  38 -> 39 [size =\"30177280\"]\n  39 [size=\"45705216\", alpha=\"0.08\", expect_size=\"22852608\"] \n  39 -> 40 [size =\"22852608\"]\n  40 [size=\"28758016\", alpha=\"0.06\", expect_size=\"14379008\"] \n  40 -> 41 [size =\"14379008\"]\n  41 [size=\"103874560\", alpha=\"0.16\", expect_size=\"51937280\"] \n  41 -> 42 [size =\"51937280\"]\n  42 [size=\"48334848\", alpha=\"0.05\", expect_size=\"24167424\"] \n  42 -> 43 [size =\"24167424\"]\n  43 [size=\"15931392\", alpha=\"0.00\", expect_size=\"7965696\"] \n  43 -> 44 [size =\"7965696\"]\n  44 [size=\"75053056\", alpha=\"0.18\", expect_size=\"37526528\"] \n  44 -> 45 [size =\"37526528\"]\n  45 [size=\"14602240\", alpha=\"0.03\", expect_size=\"7301120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22060373\", alpha=\"0.08\", expect_size=\"6618112\"] \n  1 -> 2 [size =\"6618112\"]\n  2 [size=\"154610347\", alpha=\"0.06\", expect_size=\"46383104\"] \n  2 -> 3 [size =\"46383104\"]\n  3 [size=\"156368213\", alpha=\"0.13\", expect_size=\"46910464\"] \n  3 -> 4 [size =\"46910464\"]\n  4 [size=\"127627947\", alpha=\"0.11\", expect_size=\"38288384\"] \n  4 -> 5 [size =\"38288384\"]\n  5 [size=\"54514347\", alpha=\"0.18\", expect_size=\"16354304\"] \n  5 -> 6 [size =\"16354304\"]\n  6 [size=\"37567147\", alpha=\"0.01\", expect_size=\"11270144\"] \n  6 -> 7 [size =\"11270144\"]\n  7 [size=\"119592960\", alpha=\"0.14\", expect_size=\"35877888\"] \n  7 -> 8 [size =\"35877888\"]\n  8 [size=\"82483200\", alpha=\"0.01\", expect_size=\"24744960\"] \n  8 -> 9 [size =\"24744960\"]\n  9 [size=\"19445760\", alpha=\"0.03\", expect_size=\"5833728\"] \n  9 -> 10 [size =\"5833728\"]\n  10 [size=\"135932587\", alpha=\"0.12\", expect_size=\"40779776\"] \n  10 -> 11 [size =\"40779776\"]\n  11 [size=\"162409813\", alpha=\"0.20\", expect_size=\"48722944\"] \n  11 -> 12 [size =\"48722944\"]\n  12 [size=\"64570027\", alpha=\"0.00\", expect_size=\"19371008\"] \n  12 -> 13 [size =\"19371008\"]\n  13 [size=\"112172373\", alpha=\"0.10\", expect_size=\"33651712\"] \n  13 -> 14 [size =\"33651712\"]\n  14 [size=\"56470187\", alpha=\"0.00\", expect_size=\"16941056\"] \n  14 -> 15 [size =\"16941056\"]\n  15 [size=\"146121387\", alpha=\"0.18\", expect_size=\"43836416\"] \n  15 -> 16 [size =\"43836416\"]\n  16 [size=\"133447680\", alpha=\"0.14\", expect_size=\"40034304\"] \n  16 -> 17 [size =\"40034304\"]\n  17 [size=\"140427947\", alpha=\"0.10\", expect_size=\"42128384\"] \n  17 -> 18 [size =\"42128384\"]\n  18 [size=\"95098880\", alpha=\"0.01\", expect_size=\"28529664\"] \n  18 -> 19 [size =\"28529664\"]\n  19 [size=\"106123947\", alpha=\"0.19\", expect_size=\"31837184\"] \n  19 -> 20 [size =\"31837184\"]\n  20 [size=\"133481813\", alpha=\"0.03\", expect_size=\"40044544\"] \n  20 -> 21 [size =\"40044544\"]\n  21 [size=\"67607893\", alpha=\"0.08\", expect_size=\"20282368\"] \n  21 -> 22 [size =\"20282368\"]\n  22 [size=\"67304107\", alpha=\"0.10\", expect_size=\"20191232\"] \n  22 -> 23 [size =\"20191232\"]\n  23 [size=\"69106347\", alpha=\"0.10\", expect_size=\"20731904\"] \n  23 -> 24 [size =\"20731904\"]\n  24 [size=\"148408320\", alpha=\"0.04\", expect_size=\"44522496\"] \n  24 -> 25 [size =\"44522496\"]\n  25 [size=\"151985493\", alpha=\"0.03\", expect_size=\"45595648\"] \n  25 -> 26 [size =\"45595648\"]\n  26 [size=\"136407040\", alpha=\"0.04\", expect_size=\"40922112\"] \n  26 -> 27 [size =\"40922112\"]\n  27 [size=\"89204053\", alpha=\"0.18\", expect_size=\"26761216\"] \n  27 -> 28 [size =\"26761216\"]\n  28 [size=\"164423680\", alpha=\"0.01\", expect_size=\"49327104\"] \n  28 -> 29 [size =\"49327104\"]\n  29 [size=\"173438293\", alpha=\"0.03\", expect_size=\"52031488\"] \n  29 -> 30 [size =\"52031488\"]\n  30 [size=\"166099627\", alpha=\"0.01\", expect_size=\"49829888\"] \n  30 -> 31 [size =\"49829888\"]\n  31 [size=\"34843307\", alpha=\"0.17\", expect_size=\"10452992\"] \n  31 -> 32 [size =\"10452992\"]\n  32 [size=\"98826240\", alpha=\"0.20\", expect_size=\"29647872\"] \n  32 -> 33 [size =\"29647872\"]\n  33 [size=\"23330133\", alpha=\"0.14\", expect_size=\"6999040\"] \n  33 -> 34 [size =\"6999040\"]\n  34 [size=\"104529920\", alpha=\"0.13\", expect_size=\"31358976\"] \n  34 -> 35 [size =\"31358976\"]\n  35 [size=\"138011307\", alpha=\"0.08\", expect_size=\"41403392\"] \n  35 -> 36 [size =\"41403392\"]\n  36 [size=\"160808960\", alpha=\"0.19\", expect_size=\"48242688\"] \n  36 -> 37 [size =\"48242688\"]\n  37 [size=\"35727360\", alpha=\"0.05\", expect_size=\"10718208\"] \n  37 -> 38 [size =\"10718208\"]\n  38 [size=\"22176427\", alpha=\"0.00\", expect_size=\"6652928\"] \n  38 -> 39 [size =\"6652928\"]\n  39 [size=\"27869867\", alpha=\"0.08\", expect_size=\"8360960\"] \n  39 -> 40 [size =\"8360960\"]\n  40 [size=\"54784000\", alpha=\"0.09\", expect_size=\"16435200\"] \n  40 -> 41 [size =\"16435200\"]\n  41 [size=\"64085333\", alpha=\"0.18\", expect_size=\"19225600\"] \n  41 -> 42 [size =\"19225600\"]\n  42 [size=\"43424427\", alpha=\"0.12\", expect_size=\"13027328\"] \n  42 -> 43 [size =\"13027328\"]\n  43 [size=\"39895040\", alpha=\"0.13\", expect_size=\"11968512\"] \n  43 -> 44 [size =\"11968512\"]\n  44 [size=\"148200107\", alpha=\"0.11\", expect_size=\"44460032\"] \n  44 -> 45 [size =\"44460032\"]\n  45 [size=\"92757333\", alpha=\"0.06\", expect_size=\"27827200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121487360\", alpha=\"0.17\", expect_size=\"48594944\"] \n  1 -> 8 [size =\"48594944\"]\n  1 -> 9 [size =\"48594944\"]\n  1 -> 11 [size =\"48594944\"]\n  2 [size=\"85135360\", alpha=\"0.14\", expect_size=\"34054144\"] \n  2 -> 7 [size =\"34054144\"]\n  2 -> 8 [size =\"34054144\"]\n  2 -> 10 [size =\"34054144\"]\n  3 [size=\"64343040\", alpha=\"0.18\", expect_size=\"25737216\"] \n  3 -> 6 [size =\"25737216\"]\n  3 -> 7 [size =\"25737216\"]\n  3 -> 8 [size =\"25737216\"]\n  3 -> 10 [size =\"25737216\"]\n  3 -> 11 [size =\"25737216\"]\n  4 [size=\"129817600\", alpha=\"0.03\", expect_size=\"51927040\"] \n  4 -> 6 [size =\"51927040\"]\n  4 -> 10 [size =\"51927040\"]\n  4 -> 12 [size =\"51927040\"]\n  5 [size=\"24350720\", alpha=\"0.01\", expect_size=\"9740288\"] \n  5 -> 6 [size =\"9740288\"]\n  5 -> 7 [size =\"9740288\"]\n  5 -> 9 [size =\"9740288\"]\n  6 [size=\"71377920\", alpha=\"0.09\", expect_size=\"28551168\"] \n  7 [size=\"102881280\", alpha=\"0.01\", expect_size=\"41152512\"] \n  7 -> 16 [size =\"41152512\"]\n  8 [size=\"91543040\", alpha=\"0.20\", expect_size=\"36617216\"] \n  8 -> 15 [size =\"36617216\"]\n  9 [size=\"111106560\", alpha=\"0.12\", expect_size=\"44442624\"] \n  9 -> 15 [size =\"44442624\"]\n  10 [size=\"83415040\", alpha=\"0.11\", expect_size=\"33366016\"] \n  10 -> 15 [size =\"33366016\"]\n  10 -> 16 [size =\"33366016\"]\n  11 [size=\"39749120\", alpha=\"0.04\", expect_size=\"15899648\"] \n  11 -> 13 [size =\"15899648\"]\n  11 -> 14 [size =\"15899648\"]\n  11 -> 16 [size =\"15899648\"]\n  12 [size=\"19225600\", alpha=\"0.05\", expect_size=\"7690240\"] \n  12 -> 14 [size =\"7690240\"]\n  12 -> 15 [size =\"7690240\"]\n  12 -> 16 [size =\"7690240\"]\n  13 [size=\"101790720\", alpha=\"0.16\", expect_size=\"40716288\"] \n  13 -> 17 [size =\"40716288\"]\n  14 [size=\"87116800\", alpha=\"0.01\", expect_size=\"34846720\"] \n  14 -> 17 [size =\"34846720\"]\n  14 -> 20 [size =\"34846720\"]\n  15 [size=\"106114560\", alpha=\"0.06\", expect_size=\"42445824\"] \n  15 -> 17 [size =\"42445824\"]\n  15 -> 18 [size =\"42445824\"]\n  15 -> 19 [size =\"42445824\"]\n  16 [size=\"113858560\", alpha=\"0.04\", expect_size=\"45543424\"] \n  17 [size=\"50403840\", alpha=\"0.05\", expect_size=\"20161536\"] \n  17 -> 22 [size =\"20161536\"]\n  17 -> 23 [size =\"20161536\"]\n  18 [size=\"53803520\", alpha=\"0.16\", expect_size=\"21521408\"] \n  18 -> 21 [size =\"21521408\"]\n  18 -> 23 [size =\"21521408\"]\n  18 -> 25 [size =\"21521408\"]\n  19 [size=\"52157440\", alpha=\"0.10\", expect_size=\"20862976\"] \n  19 -> 21 [size =\"20862976\"]\n  19 -> 22 [size =\"20862976\"]\n  19 -> 24 [size =\"20862976\"]\n  19 -> 26 [size =\"20862976\"]\n  20 [size=\"122810880\", alpha=\"0.13\", expect_size=\"49124352\"] \n  20 -> 22 [size =\"49124352\"]\n  20 -> 24 [size =\"49124352\"]\n  21 [size=\"67002880\", alpha=\"0.14\", expect_size=\"26801152\"] \n  21 -> 29 [size =\"26801152\"]\n  21 -> 30 [size =\"26801152\"]\n  21 -> 32 [size =\"26801152\"]\n  22 [size=\"89492480\", alpha=\"0.08\", expect_size=\"35796992\"] \n  22 -> 28 [size =\"35796992\"]\n  22 -> 30 [size =\"35796992\"]\n  22 -> 31 [size =\"35796992\"]\n  23 [size=\"116170240\", alpha=\"0.10\", expect_size=\"46468096\"] \n  23 -> 29 [size =\"46468096\"]\n  24 [size=\"93063680\", alpha=\"0.12\", expect_size=\"37225472\"] \n  24 -> 28 [size =\"37225472\"]\n  24 -> 29 [size =\"37225472\"]\n  25 [size=\"100011520\", alpha=\"0.16\", expect_size=\"40004608\"] \n  25 -> 28 [size =\"40004608\"]\n  25 -> 30 [size =\"40004608\"]\n  25 -> 31 [size =\"40004608\"]\n  26 [size=\"19261440\", alpha=\"0.09\", expect_size=\"7704576\"] \n  26 -> 27 [size =\"7704576\"]\n  26 -> 32 [size =\"7704576\"]\n  27 [size=\"43760640\", alpha=\"0.18\", expect_size=\"17504256\"] \n  27 -> 33 [size =\"17504256\"]\n  27 -> 36 [size =\"17504256\"]\n  28 [size=\"73687040\", alpha=\"0.01\", expect_size=\"29474816\"] \n  28 -> 35 [size =\"29474816\"]\n  29 [size=\"49418240\", alpha=\"0.19\", expect_size=\"19767296\"] \n  29 -> 34 [size =\"19767296\"]\n  29 -> 36 [size =\"19767296\"]\n  30 [size=\"110799360\", alpha=\"0.10\", expect_size=\"44319744\"] \n  30 -> 36 [size =\"44319744\"]\n  30 -> 37 [size =\"44319744\"]\n  31 [size=\"71001600\", alpha=\"0.05\", expect_size=\"28400640\"] \n  31 -> 33 [size =\"28400640\"]\n  31 -> 34 [size =\"28400640\"]\n  31 -> 37 [size =\"28400640\"]\n  32 [size=\"38402560\", alpha=\"0.02\", expect_size=\"15361024\"] \n  32 -> 36 [size =\"15361024\"]\n  32 -> 37 [size =\"15361024\"]\n  33 [size=\"85035520\", alpha=\"0.13\", expect_size=\"34014208\"] \n  33 -> 38 [size =\"34014208\"]\n  33 -> 39 [size =\"34014208\"]\n  33 -> 42 [size =\"34014208\"]\n  34 [size=\"26206720\", alpha=\"0.17\", expect_size=\"10482688\"] \n  34 -> 38 [size =\"10482688\"]\n  34 -> 39 [size =\"10482688\"]\n  34 -> 40 [size =\"10482688\"]\n  34 -> 42 [size =\"10482688\"]\n  34 -> 43 [size =\"10482688\"]\n  35 [size=\"96593920\", alpha=\"0.17\", expect_size=\"38637568\"] \n  35 -> 38 [size =\"38637568\"]\n  35 -> 41 [size =\"38637568\"]\n  35 -> 43 [size =\"38637568\"]\n  36 [size=\"71511040\", alpha=\"0.13\", expect_size=\"28604416\"] \n  36 -> 41 [size =\"28604416\"]\n  36 -> 43 [size =\"28604416\"]\n  36 -> 44 [size =\"28604416\"]\n  37 [size=\"127196160\", alpha=\"0.16\", expect_size=\"50878464\"] \n  38 [size=\"117496320\", alpha=\"0.06\", expect_size=\"46998528\"] \n  38 -> 45 [size =\"46998528\"]\n  39 [size=\"120844800\", alpha=\"0.03\", expect_size=\"48337920\"] \n  40 [size=\"117281280\", alpha=\"0.18\", expect_size=\"46912512\"] \n  40 -> 45 [size =\"46912512\"]\n  41 [size=\"59148800\", alpha=\"0.02\", expect_size=\"23659520\"] \n  42 [size=\"91056640\", alpha=\"0.20\", expect_size=\"36422656\"] \n  43 [size=\"101155840\", alpha=\"0.14\", expect_size=\"40462336\"] \n  44 [size=\"60172800\", alpha=\"0.03\", expect_size=\"24069120\"] \n  45 [size=\"42112000\", alpha=\"0.06\", expect_size=\"16844800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108967253\", alpha=\"0.03\", expect_size=\"32690176\"] \n  1 -> 10 [size =\"32690176\"]\n  1 -> 11 [size =\"32690176\"]\n  2 [size=\"159894187\", alpha=\"0.13\", expect_size=\"47968256\"] \n  2 -> 8 [size =\"47968256\"]\n  2 -> 9 [size =\"47968256\"]\n  3 [size=\"150261760\", alpha=\"0.08\", expect_size=\"45078528\"] \n  3 -> 8 [size =\"45078528\"]\n  3 -> 10 [size =\"45078528\"]\n  3 -> 12 [size =\"45078528\"]\n  4 [size=\"153453227\", alpha=\"0.16\", expect_size=\"46035968\"] \n  5 [size=\"126023680\", alpha=\"0.16\", expect_size=\"37807104\"] \n  5 -> 11 [size =\"37807104\"]\n  5 -> 12 [size =\"37807104\"]\n  6 [size=\"86145707\", alpha=\"0.17\", expect_size=\"25843712\"] \n  6 -> 7 [size =\"25843712\"]\n  6 -> 10 [size =\"25843712\"]\n  6 -> 12 [size =\"25843712\"]\n  7 [size=\"116862293\", alpha=\"0.13\", expect_size=\"35058688\"] \n  8 [size=\"76055893\", alpha=\"0.08\", expect_size=\"22816768\"] \n  8 -> 13 [size =\"22816768\"]\n  8 -> 16 [size =\"22816768\"]\n  9 [size=\"117855573\", alpha=\"0.18\", expect_size=\"35356672\"] \n  9 -> 13 [size =\"35356672\"]\n  9 -> 14 [size =\"35356672\"]\n  9 -> 15 [size =\"35356672\"]\n  9 -> 16 [size =\"35356672\"]\n  10 [size=\"149374293\", alpha=\"0.18\", expect_size=\"44812288\"] \n  10 -> 14 [size =\"44812288\"]\n  10 -> 16 [size =\"44812288\"]\n  11 [size=\"28730027\", alpha=\"0.11\", expect_size=\"8619008\"] \n  12 [size=\"50814293\", alpha=\"0.04\", expect_size=\"15244288\"] \n  12 -> 17 [size =\"15244288\"]\n  13 [size=\"156480853\", alpha=\"0.13\", expect_size=\"46944256\"] \n  13 -> 18 [size =\"46944256\"]\n  13 -> 20 [size =\"46944256\"]\n  13 -> 21 [size =\"46944256\"]\n  13 -> 23 [size =\"46944256\"]\n  14 [size=\"60631040\", alpha=\"0.14\", expect_size=\"18189312\"] \n  14 -> 19 [size =\"18189312\"]\n  14 -> 20 [size =\"18189312\"]\n  14 -> 23 [size =\"18189312\"]\n  15 [size=\"27535360\", alpha=\"0.17\", expect_size=\"8260608\"] \n  15 -> 20 [size =\"8260608\"]\n  15 -> 22 [size =\"8260608\"]\n  16 [size=\"151575893\", alpha=\"0.13\", expect_size=\"45472768\"] \n  17 [size=\"129344853\", alpha=\"0.18\", expect_size=\"38803456\"] \n  17 -> 23 [size =\"38803456\"]\n  18 [size=\"71031467\", alpha=\"0.16\", expect_size=\"21309440\"] \n  18 -> 28 [size =\"21309440\"]\n  19 [size=\"135140693\", alpha=\"0.11\", expect_size=\"40542208\"] \n  19 -> 24 [size =\"40542208\"]\n  19 -> 26 [size =\"40542208\"]\n  20 [size=\"116677973\", alpha=\"0.08\", expect_size=\"35003392\"] \n  21 [size=\"99962880\", alpha=\"0.17\", expect_size=\"29988864\"] \n  21 -> 24 [size =\"29988864\"]\n  21 -> 25 [size =\"29988864\"]\n  21 -> 27 [size =\"29988864\"]\n  22 [size=\"32068267\", alpha=\"0.05\", expect_size=\"9620480\"] \n  22 -> 26 [size =\"9620480\"]\n  23 [size=\"63201280\", alpha=\"0.09\", expect_size=\"18960384\"] \n  24 [size=\"161993387\", alpha=\"0.10\", expect_size=\"48598016\"] \n  24 -> 29 [size =\"48598016\"]\n  24 -> 30 [size =\"48598016\"]\n  25 [size=\"113817600\", alpha=\"0.05\", expect_size=\"34145280\"] \n  25 -> 29 [size =\"34145280\"]\n  25 -> 32 [size =\"34145280\"]\n  26 [size=\"88794453\", alpha=\"0.09\", expect_size=\"26638336\"] \n  26 -> 31 [size =\"26638336\"]\n  26 -> 32 [size =\"26638336\"]\n  27 [size=\"37543253\", alpha=\"0.06\", expect_size=\"11262976\"] \n  27 -> 33 [size =\"11262976\"]\n  28 [size=\"19384320\", alpha=\"0.10\", expect_size=\"5815296\"] \n  28 -> 30 [size =\"5815296\"]\n  28 -> 33 [size =\"5815296\"]\n  29 [size=\"145623040\", alpha=\"0.06\", expect_size=\"43686912\"] \n  29 -> 37 [size =\"43686912\"]\n  30 [size=\"73574400\", alpha=\"0.20\", expect_size=\"22072320\"] \n  30 -> 34 [size =\"22072320\"]\n  30 -> 36 [size =\"22072320\"]\n  30 -> 38 [size =\"22072320\"]\n  31 [size=\"138714453\", alpha=\"0.15\", expect_size=\"41614336\"] \n  31 -> 35 [size =\"41614336\"]\n  31 -> 37 [size =\"41614336\"]\n  31 -> 38 [size =\"41614336\"]\n  32 [size=\"117964800\", alpha=\"0.14\", expect_size=\"35389440\"] \n  32 -> 35 [size =\"35389440\"]\n  32 -> 36 [size =\"35389440\"]\n  32 -> 38 [size =\"35389440\"]\n  33 [size=\"153736533\", alpha=\"0.11\", expect_size=\"46120960\"] \n  33 -> 35 [size =\"46120960\"]\n  34 [size=\"64252587\", alpha=\"0.13\", expect_size=\"19275776\"] \n  35 [size=\"142772907\", alpha=\"0.17\", expect_size=\"42831872\"] \n  35 -> 40 [size =\"42831872\"]\n  35 -> 41 [size =\"42831872\"]\n  36 [size=\"25992533\", alpha=\"0.18\", expect_size=\"7797760\"] \n  36 -> 39 [size =\"7797760\"]\n  36 -> 42 [size =\"7797760\"]\n  37 [size=\"97150293\", alpha=\"0.12\", expect_size=\"29145088\"] \n  37 -> 39 [size =\"29145088\"]\n  37 -> 42 [size =\"29145088\"]\n  38 [size=\"141062827\", alpha=\"0.14\", expect_size=\"42318848\"] \n  38 -> 39 [size =\"42318848\"]\n  38 -> 40 [size =\"42318848\"]\n  38 -> 42 [size =\"42318848\"]\n  38 -> 43 [size =\"42318848\"]\n  39 [size=\"59030187\", alpha=\"0.11\", expect_size=\"17709056\"] \n  39 -> 45 [size =\"17709056\"]\n  40 [size=\"108714667\", alpha=\"0.00\", expect_size=\"32614400\"] \n  41 [size=\"107448320\", alpha=\"0.20\", expect_size=\"32234496\"] \n  41 -> 44 [size =\"32234496\"]\n  41 -> 45 [size =\"32234496\"]\n  42 [size=\"66484907\", alpha=\"0.02\", expect_size=\"19945472\"] \n  42 -> 44 [size =\"19945472\"]\n  42 -> 45 [size =\"19945472\"]\n  43 [size=\"19169280\", alpha=\"0.09\", expect_size=\"5750784\"] \n  43 -> 44 [size =\"5750784\"]\n  44 [size=\"104502613\", alpha=\"0.15\", expect_size=\"31350784\"] \n  45 [size=\"51066880\", alpha=\"0.13\", expect_size=\"15320064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113103360\", alpha=\"0.14\", expect_size=\"45241344\"] \n  2 [size=\"127370240\", alpha=\"0.05\", expect_size=\"50948096\"] \n  2 -> 7 [size =\"50948096\"]\n  2 -> 8 [size =\"50948096\"]\n  2 -> 10 [size =\"50948096\"]\n  2 -> 11 [size =\"50948096\"]\n  3 [size=\"32015360\", alpha=\"0.06\", expect_size=\"12806144\"] \n  3 -> 11 [size =\"12806144\"]\n  4 [size=\"63298560\", alpha=\"0.18\", expect_size=\"25319424\"] \n  4 -> 11 [size =\"25319424\"]\n  5 [size=\"65246720\", alpha=\"0.01\", expect_size=\"26098688\"] \n  5 -> 8 [size =\"26098688\"]\n  5 -> 9 [size =\"26098688\"]\n  5 -> 10 [size =\"26098688\"]\n  6 [size=\"17848320\", alpha=\"0.06\", expect_size=\"7139328\"] \n  6 -> 8 [size =\"7139328\"]\n  7 [size=\"47267840\", alpha=\"0.18\", expect_size=\"18907136\"] \n  7 -> 14 [size =\"18907136\"]\n  7 -> 15 [size =\"18907136\"]\n  7 -> 16 [size =\"18907136\"]\n  8 [size=\"104043520\", alpha=\"0.17\", expect_size=\"41617408\"] \n  8 -> 13 [size =\"41617408\"]\n  8 -> 15 [size =\"41617408\"]\n  8 -> 16 [size =\"41617408\"]\n  8 -> 17 [size =\"41617408\"]\n  9 [size=\"116748800\", alpha=\"0.16\", expect_size=\"46699520\"] \n  9 -> 14 [size =\"46699520\"]\n  9 -> 15 [size =\"46699520\"]\n  10 [size=\"98705920\", alpha=\"0.03\", expect_size=\"39482368\"] \n  10 -> 12 [size =\"39482368\"]\n  10 -> 14 [size =\"39482368\"]\n  11 [size=\"52239360\", alpha=\"0.19\", expect_size=\"20895744\"] \n  11 -> 12 [size =\"20895744\"]\n  12 [size=\"16808960\", alpha=\"0.03\", expect_size=\"6723584\"] \n  12 -> 23 [size =\"6723584\"]\n  13 [size=\"45204480\", alpha=\"0.08\", expect_size=\"18081792\"] \n  14 [size=\"80911360\", alpha=\"0.04\", expect_size=\"32364544\"] \n  15 [size=\"69191680\", alpha=\"0.20\", expect_size=\"27676672\"] \n  15 -> 18 [size =\"27676672\"]\n  15 -> 19 [size =\"27676672\"]\n  15 -> 21 [size =\"27676672\"]\n  15 -> 22 [size =\"27676672\"]\n  16 [size=\"77068800\", alpha=\"0.18\", expect_size=\"30827520\"] \n  16 -> 18 [size =\"30827520\"]\n  16 -> 19 [size =\"30827520\"]\n  16 -> 20 [size =\"30827520\"]\n  16 -> 21 [size =\"30827520\"]\n  16 -> 22 [size =\"30827520\"]\n  17 [size=\"113495040\", alpha=\"0.19\", expect_size=\"45398016\"] \n  17 -> 19 [size =\"45398016\"]\n  17 -> 21 [size =\"45398016\"]\n  17 -> 23 [size =\"45398016\"]\n  18 [size=\"103572480\", alpha=\"0.11\", expect_size=\"41428992\"] \n  18 -> 24 [size =\"41428992\"]\n  19 [size=\"85224960\", alpha=\"0.01\", expect_size=\"34089984\"] \n  19 -> 25 [size =\"34089984\"]\n  20 [size=\"62899200\", alpha=\"0.14\", expect_size=\"25159680\"] \n  20 -> 24 [size =\"25159680\"]\n  20 -> 25 [size =\"25159680\"]\n  20 -> 27 [size =\"25159680\"]\n  20 -> 28 [size =\"25159680\"]\n  21 [size=\"83112960\", alpha=\"0.04\", expect_size=\"33245184\"] \n  21 -> 25 [size =\"33245184\"]\n  21 -> 26 [size =\"33245184\"]\n  22 [size=\"74736640\", alpha=\"0.13\", expect_size=\"29894656\"] \n  23 [size=\"91809280\", alpha=\"0.05\", expect_size=\"36723712\"] \n  23 -> 26 [size =\"36723712\"]\n  23 -> 29 [size =\"36723712\"]\n  24 [size=\"23055360\", alpha=\"0.06\", expect_size=\"9222144\"] \n  24 -> 32 [size =\"9222144\"]\n  25 [size=\"44111360\", alpha=\"0.16\", expect_size=\"17644544\"] \n  26 [size=\"42831360\", alpha=\"0.06\", expect_size=\"17132544\"] \n  26 -> 32 [size =\"17132544\"]\n  27 [size=\"30899200\", alpha=\"0.03\", expect_size=\"12359680\"] \n  27 -> 30 [size =\"12359680\"]\n  27 -> 33 [size =\"12359680\"]\n  27 -> 34 [size =\"12359680\"]\n  28 [size=\"23564800\", alpha=\"0.15\", expect_size=\"9425920\"] \n  28 -> 30 [size =\"9425920\"]\n  28 -> 31 [size =\"9425920\"]\n  28 -> 32 [size =\"9425920\"]\n  28 -> 34 [size =\"9425920\"]\n  29 [size=\"89717760\", alpha=\"0.04\", expect_size=\"35887104\"] \n  29 -> 30 [size =\"35887104\"]\n  29 -> 31 [size =\"35887104\"]\n  29 -> 34 [size =\"35887104\"]\n  30 [size=\"96506880\", alpha=\"0.08\", expect_size=\"38602752\"] \n  30 -> 35 [size =\"38602752\"]\n  30 -> 36 [size =\"38602752\"]\n  30 -> 37 [size =\"38602752\"]\n  31 [size=\"61063680\", alpha=\"0.18\", expect_size=\"24425472\"] \n  31 -> 35 [size =\"24425472\"]\n  31 -> 36 [size =\"24425472\"]\n  31 -> 38 [size =\"24425472\"]\n  31 -> 39 [size =\"24425472\"]\n  32 [size=\"83386880\", alpha=\"0.09\", expect_size=\"33354752\"] \n  32 -> 36 [size =\"33354752\"]\n  32 -> 38 [size =\"33354752\"]\n  33 [size=\"41809920\", alpha=\"0.06\", expect_size=\"16723968\"] \n  34 [size=\"73210880\", alpha=\"0.14\", expect_size=\"29284352\"] \n  34 -> 37 [size =\"29284352\"]\n  35 [size=\"109813760\", alpha=\"0.11\", expect_size=\"43925504\"] \n  35 -> 44 [size =\"43925504\"]\n  36 [size=\"85795840\", alpha=\"0.20\", expect_size=\"34318336\"] \n  36 -> 41 [size =\"34318336\"]\n  36 -> 42 [size =\"34318336\"]\n  36 -> 43 [size =\"34318336\"]\n  36 -> 45 [size =\"34318336\"]\n  37 [size=\"123863040\", alpha=\"0.05\", expect_size=\"49545216\"] \n  37 -> 40 [size =\"49545216\"]\n  37 -> 41 [size =\"49545216\"]\n  37 -> 43 [size =\"49545216\"]\n  37 -> 45 [size =\"49545216\"]\n  38 [size=\"22246400\", alpha=\"0.06\", expect_size=\"8898560\"] \n  38 -> 44 [size =\"8898560\"]\n  39 [size=\"107816960\", alpha=\"0.19\", expect_size=\"43126784\"] \n  39 -> 40 [size =\"43126784\"]\n  39 -> 43 [size =\"43126784\"]\n  39 -> 44 [size =\"43126784\"]\n  39 -> 45 [size =\"43126784\"]\n  40 [size=\"130316800\", alpha=\"0.00\", expect_size=\"52126720\"] \n  41 [size=\"57387520\", alpha=\"0.13\", expect_size=\"22955008\"] \n  42 [size=\"46123520\", alpha=\"0.17\", expect_size=\"18449408\"] \n  43 [size=\"100231680\", alpha=\"0.14\", expect_size=\"40092672\"] \n  44 [size=\"15874560\", alpha=\"0.13\", expect_size=\"6349824\"] \n  45 [size=\"96791040\", alpha=\"0.17\", expect_size=\"38716416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67804160\", alpha=\"0.14\", expect_size=\"27121664\"] \n  1 -> 9 [size =\"27121664\"]\n  1 -> 10 [size =\"27121664\"]\n  1 -> 11 [size =\"27121664\"]\n  1 -> 12 [size =\"27121664\"]\n  2 [size=\"48343040\", alpha=\"0.07\", expect_size=\"19337216\"] \n  2 -> 9 [size =\"19337216\"]\n  2 -> 10 [size =\"19337216\"]\n  2 -> 11 [size =\"19337216\"]\n  2 -> 12 [size =\"19337216\"]\n  3 [size=\"30955520\", alpha=\"0.13\", expect_size=\"12382208\"] \n  3 -> 7 [size =\"12382208\"]\n  3 -> 8 [size =\"12382208\"]\n  3 -> 9 [size =\"12382208\"]\n  3 -> 10 [size =\"12382208\"]\n  4 [size=\"67791360\", alpha=\"0.15\", expect_size=\"27116544\"] \n  4 -> 7 [size =\"27116544\"]\n  4 -> 8 [size =\"27116544\"]\n  4 -> 9 [size =\"27116544\"]\n  4 -> 10 [size =\"27116544\"]\n  4 -> 12 [size =\"27116544\"]\n  5 [size=\"83678720\", alpha=\"0.10\", expect_size=\"33471488\"] \n  5 -> 7 [size =\"33471488\"]\n  5 -> 8 [size =\"33471488\"]\n  5 -> 9 [size =\"33471488\"]\n  5 -> 10 [size =\"33471488\"]\n  5 -> 12 [size =\"33471488\"]\n  6 [size=\"107036160\", alpha=\"0.15\", expect_size=\"42814464\"] \n  6 -> 8 [size =\"42814464\"]\n  6 -> 8 [size =\"42814464\"]\n  6 -> 9 [size =\"42814464\"]\n  6 -> 10 [size =\"42814464\"]\n  7 [size=\"98690560\", alpha=\"0.12\", expect_size=\"39476224\"] \n  7 -> 13 [size =\"39476224\"]\n  7 -> 16 [size =\"39476224\"]\n  8 [size=\"121374720\", alpha=\"0.05\", expect_size=\"48549888\"] \n  8 -> 13 [size =\"48549888\"]\n  8 -> 14 [size =\"48549888\"]\n  8 -> 15 [size =\"48549888\"]\n  8 -> 16 [size =\"48549888\"]\n  9 [size=\"113937920\", alpha=\"0.17\", expect_size=\"45575168\"] \n  9 -> 13 [size =\"45575168\"]\n  9 -> 14 [size =\"45575168\"]\n  9 -> 16 [size =\"45575168\"]\n  10 [size=\"80732160\", alpha=\"0.09\", expect_size=\"32292864\"] \n  10 -> 13 [size =\"32292864\"]\n  10 -> 14 [size =\"32292864\"]\n  10 -> 17 [size =\"32292864\"]\n  11 [size=\"45314560\", alpha=\"0.07\", expect_size=\"18125824\"] \n  11 -> 13 [size =\"18125824\"]\n  11 -> 14 [size =\"18125824\"]\n  12 [size=\"130529280\", alpha=\"0.18\", expect_size=\"52211712\"] \n  12 -> 13 [size =\"52211712\"]\n  12 -> 15 [size =\"52211712\"]\n  12 -> 16 [size =\"52211712\"]\n  13 [size=\"53642240\", alpha=\"0.01\", expect_size=\"21456896\"] \n  13 -> 18 [size =\"21456896\"]\n  13 -> 19 [size =\"21456896\"]\n  13 -> 20 [size =\"21456896\"]\n  13 -> 22 [size =\"21456896\"]\n  14 [size=\"14707200\", alpha=\"0.14\", expect_size=\"5882880\"] \n  14 -> 20 [size =\"5882880\"]\n  15 [size=\"100633600\", alpha=\"0.13\", expect_size=\"40253440\"] \n  15 -> 19 [size =\"40253440\"]\n  15 -> 20 [size =\"40253440\"]\n  15 -> 21 [size =\"40253440\"]\n  15 -> 22 [size =\"40253440\"]\n  15 -> 23 [size =\"40253440\"]\n  16 [size=\"38865920\", alpha=\"0.00\", expect_size=\"15546368\"] \n  16 -> 18 [size =\"15546368\"]\n  16 -> 21 [size =\"15546368\"]\n  17 [size=\"129845760\", alpha=\"0.09\", expect_size=\"51938304\"] \n  17 -> 18 [size =\"51938304\"]\n  17 -> 20 [size =\"51938304\"]\n  17 -> 23 [size =\"51938304\"]\n  18 [size=\"83197440\", alpha=\"0.16\", expect_size=\"33278976\"] \n  18 -> 24 [size =\"33278976\"]\n  18 -> 28 [size =\"33278976\"]\n  19 [size=\"112627200\", alpha=\"0.13\", expect_size=\"45050880\"] \n  19 -> 25 [size =\"45050880\"]\n  19 -> 27 [size =\"45050880\"]\n  19 -> 28 [size =\"45050880\"]\n  20 [size=\"95592960\", alpha=\"0.02\", expect_size=\"38237184\"] \n  21 [size=\"29276160\", alpha=\"0.20\", expect_size=\"11710464\"] \n  21 -> 24 [size =\"11710464\"]\n  21 -> 25 [size =\"11710464\"]\n  21 -> 26 [size =\"11710464\"]\n  21 -> 27 [size =\"11710464\"]\n  22 [size=\"72276480\", alpha=\"0.04\", expect_size=\"28910592\"] \n  22 -> 27 [size =\"28910592\"]\n  22 -> 28 [size =\"28910592\"]\n  23 [size=\"58452480\", alpha=\"0.11\", expect_size=\"23380992\"] \n  23 -> 24 [size =\"23380992\"]\n  23 -> 25 [size =\"23380992\"]\n  23 -> 27 [size =\"23380992\"]\n  23 -> 28 [size =\"23380992\"]\n  23 -> 29 [size =\"23380992\"]\n  24 [size=\"67279360\", alpha=\"0.07\", expect_size=\"26911744\"] \n  24 -> 32 [size =\"26911744\"]\n  24 -> 34 [size =\"26911744\"]\n  24 -> 35 [size =\"26911744\"]\n  25 [size=\"34677760\", alpha=\"0.15\", expect_size=\"13871104\"] \n  25 -> 30 [size =\"13871104\"]\n  25 -> 31 [size =\"13871104\"]\n  25 -> 32 [size =\"13871104\"]\n  25 -> 34 [size =\"13871104\"]\n  26 [size=\"110735360\", alpha=\"0.19\", expect_size=\"44294144\"] \n  26 -> 30 [size =\"44294144\"]\n  26 -> 31 [size =\"44294144\"]\n  26 -> 32 [size =\"44294144\"]\n  26 -> 33 [size =\"44294144\"]\n  26 -> 34 [size =\"44294144\"]\n  26 -> 35 [size =\"44294144\"]\n  27 [size=\"112744960\", alpha=\"0.18\", expect_size=\"45097984\"] \n  27 -> 31 [size =\"45097984\"]\n  27 -> 31 [size =\"45097984\"]\n  27 -> 32 [size =\"45097984\"]\n  27 -> 34 [size =\"45097984\"]\n  28 [size=\"48120320\", alpha=\"0.15\", expect_size=\"19248128\"] \n  28 -> 30 [size =\"19248128\"]\n  28 -> 31 [size =\"19248128\"]\n  28 -> 34 [size =\"19248128\"]\n  28 -> 35 [size =\"19248128\"]\n  29 [size=\"26270720\", alpha=\"0.09\", expect_size=\"10508288\"] \n  29 -> 30 [size =\"10508288\"]\n  29 -> 31 [size =\"10508288\"]\n  29 -> 32 [size =\"10508288\"]\n  29 -> 35 [size =\"10508288\"]\n  30 [size=\"104069120\", alpha=\"0.15\", expect_size=\"41627648\"] \n  30 -> 36 [size =\"41627648\"]\n  30 -> 37 [size =\"41627648\"]\n  30 -> 38 [size =\"41627648\"]\n  30 -> 40 [size =\"41627648\"]\n  30 -> 41 [size =\"41627648\"]\n  31 [size=\"115281920\", alpha=\"0.06\", expect_size=\"46112768\"] \n  31 -> 37 [size =\"46112768\"]\n  31 -> 38 [size =\"46112768\"]\n  31 -> 41 [size =\"46112768\"]\n  32 [size=\"114613760\", alpha=\"0.17\", expect_size=\"45845504\"] \n  32 -> 38 [size =\"45845504\"]\n  32 -> 40 [size =\"45845504\"]\n  32 -> 41 [size =\"45845504\"]\n  33 [size=\"19333120\", alpha=\"0.15\", expect_size=\"7733248\"] \n  33 -> 36 [size =\"7733248\"]\n  33 -> 37 [size =\"7733248\"]\n  33 -> 38 [size =\"7733248\"]\n  33 -> 40 [size =\"7733248\"]\n  33 -> 41 [size =\"7733248\"]\n  34 [size=\"83220480\", alpha=\"0.13\", expect_size=\"33288192\"] \n  34 -> 36 [size =\"33288192\"]\n  34 -> 39 [size =\"33288192\"]\n  34 -> 40 [size =\"33288192\"]\n  34 -> 41 [size =\"33288192\"]\n  35 [size=\"125030400\", alpha=\"0.06\", expect_size=\"50012160\"] \n  35 -> 36 [size =\"50012160\"]\n  35 -> 37 [size =\"50012160\"]\n  35 -> 38 [size =\"50012160\"]\n  35 -> 41 [size =\"50012160\"]\n  36 [size=\"97372160\", alpha=\"0.03\", expect_size=\"38948864\"] \n  36 -> 42 [size =\"38948864\"]\n  36 -> 44 [size =\"38948864\"]\n  36 -> 45 [size =\"38948864\"]\n  37 [size=\"94174720\", alpha=\"0.00\", expect_size=\"37669888\"] \n  37 -> 42 [size =\"37669888\"]\n  37 -> 43 [size =\"37669888\"]\n  37 -> 44 [size =\"37669888\"]\n  37 -> 45 [size =\"37669888\"]\n  38 [size=\"83059200\", alpha=\"0.09\", expect_size=\"33223680\"] \n  38 -> 42 [size =\"33223680\"]\n  38 -> 43 [size =\"33223680\"]\n  38 -> 44 [size =\"33223680\"]\n  39 [size=\"54333440\", alpha=\"0.15\", expect_size=\"21733376\"] \n  39 -> 42 [size =\"21733376\"]\n  39 -> 44 [size =\"21733376\"]\n  39 -> 44 [size =\"21733376\"]\n  39 -> 45 [size =\"21733376\"]\n  40 [size=\"108825600\", alpha=\"0.15\", expect_size=\"43530240\"] \n  40 -> 42 [size =\"43530240\"]\n  40 -> 43 [size =\"43530240\"]\n  40 -> 45 [size =\"43530240\"]\n  41 [size=\"78236160\", alpha=\"0.17\", expect_size=\"31294464\"] \n  41 -> 43 [size =\"31294464\"]\n  41 -> 45 [size =\"31294464\"]\n  42 [size=\"112732160\", alpha=\"0.10\", expect_size=\"45092864\"] \n  43 [size=\"93813760\", alpha=\"0.10\", expect_size=\"37525504\"] \n  44 [size=\"62016000\", alpha=\"0.20\", expect_size=\"24806400\"] \n  45 [size=\"18936320\", alpha=\"0.13\", expect_size=\"7574528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102417067\", alpha=\"0.08\", expect_size=\"30725120\"] \n  1 -> 2 [size =\"30725120\"]\n  2 [size=\"100860587\", alpha=\"0.19\", expect_size=\"30258176\"] \n  2 -> 3 [size =\"30258176\"]\n  3 [size=\"60071253\", alpha=\"0.07\", expect_size=\"18021376\"] \n  3 -> 4 [size =\"18021376\"]\n  4 [size=\"144360107\", alpha=\"0.12\", expect_size=\"43308032\"] \n  4 -> 5 [size =\"43308032\"]\n  5 [size=\"88077653\", alpha=\"0.17\", expect_size=\"26423296\"] \n  5 -> 6 [size =\"26423296\"]\n  6 [size=\"173383680\", alpha=\"0.11\", expect_size=\"52015104\"] \n  6 -> 7 [size =\"52015104\"]\n  7 [size=\"142755840\", alpha=\"0.09\", expect_size=\"42826752\"] \n  7 -> 8 [size =\"42826752\"]\n  8 [size=\"125733547\", alpha=\"0.03\", expect_size=\"37720064\"] \n  8 -> 9 [size =\"37720064\"]\n  9 [size=\"75663360\", alpha=\"0.09\", expect_size=\"22699008\"] \n  9 -> 10 [size =\"22699008\"]\n  10 [size=\"63597227\", alpha=\"0.01\", expect_size=\"19079168\"] \n  10 -> 11 [size =\"19079168\"]\n  11 [size=\"122675200\", alpha=\"0.16\", expect_size=\"36802560\"] \n  11 -> 12 [size =\"36802560\"]\n  12 [size=\"29829120\", alpha=\"0.12\", expect_size=\"8948736\"] \n  12 -> 13 [size =\"8948736\"]\n  13 [size=\"24036693\", alpha=\"0.08\", expect_size=\"7211008\"] \n  13 -> 14 [size =\"7211008\"]\n  14 [size=\"78632960\", alpha=\"0.10\", expect_size=\"23589888\"] \n  14 -> 15 [size =\"23589888\"]\n  15 [size=\"169786027\", alpha=\"0.20\", expect_size=\"50935808\"] \n  15 -> 16 [size =\"50935808\"]\n  16 [size=\"149722453\", alpha=\"0.01\", expect_size=\"44916736\"] \n  16 -> 17 [size =\"44916736\"]\n  17 [size=\"75444907\", alpha=\"0.06\", expect_size=\"22633472\"] \n  17 -> 18 [size =\"22633472\"]\n  18 [size=\"143110827\", alpha=\"0.05\", expect_size=\"42933248\"] \n  18 -> 19 [size =\"42933248\"]\n  19 [size=\"164795733\", alpha=\"0.20\", expect_size=\"49438720\"] \n  19 -> 20 [size =\"49438720\"]\n  20 [size=\"77100373\", alpha=\"0.12\", expect_size=\"23130112\"] \n  20 -> 21 [size =\"23130112\"]\n  21 [size=\"87941120\", alpha=\"0.16\", expect_size=\"26382336\"] \n  21 -> 22 [size =\"26382336\"]\n  22 [size=\"57671680\", alpha=\"0.10\", expect_size=\"17301504\"] \n  22 -> 23 [size =\"17301504\"]\n  23 [size=\"149271893\", alpha=\"0.10\", expect_size=\"44781568\"] \n  23 -> 24 [size =\"44781568\"]\n  24 [size=\"52947627\", alpha=\"0.06\", expect_size=\"15884288\"] \n  24 -> 25 [size =\"15884288\"]\n  25 [size=\"135505920\", alpha=\"0.11\", expect_size=\"40651776\"] \n  25 -> 26 [size =\"40651776\"]\n  26 [size=\"133717333\", alpha=\"0.16\", expect_size=\"40115200\"] \n  26 -> 27 [size =\"40115200\"]\n  27 [size=\"141076480\", alpha=\"0.16\", expect_size=\"42322944\"] \n  27 -> 28 [size =\"42322944\"]\n  28 [size=\"28781227\", alpha=\"0.10\", expect_size=\"8634368\"] \n  28 -> 29 [size =\"8634368\"]\n  29 [size=\"66215253\", alpha=\"0.12\", expect_size=\"19864576\"] \n  29 -> 30 [size =\"19864576\"]\n  30 [size=\"62453760\", alpha=\"0.20\", expect_size=\"18736128\"] \n  30 -> 31 [size =\"18736128\"]\n  31 [size=\"160191147\", alpha=\"0.01\", expect_size=\"48057344\"] \n  31 -> 32 [size =\"48057344\"]\n  32 [size=\"129805653\", alpha=\"0.03\", expect_size=\"38941696\"] \n  32 -> 33 [size =\"38941696\"]\n  33 [size=\"54671360\", alpha=\"0.07\", expect_size=\"16401408\"] \n  33 -> 34 [size =\"16401408\"]\n  34 [size=\"134683307\", alpha=\"0.18\", expect_size=\"40404992\"] \n  34 -> 35 [size =\"40404992\"]\n  35 [size=\"24862720\", alpha=\"0.09\", expect_size=\"7458816\"] \n  35 -> 36 [size =\"7458816\"]\n  36 [size=\"110387200\", alpha=\"0.16\", expect_size=\"33116160\"] \n  36 -> 37 [size =\"33116160\"]\n  37 [size=\"75308373\", alpha=\"0.11\", expect_size=\"22592512\"] \n  37 -> 38 [size =\"22592512\"]\n  38 [size=\"44902400\", alpha=\"0.01\", expect_size=\"13470720\"] \n  38 -> 39 [size =\"13470720\"]\n  39 [size=\"127433387\", alpha=\"0.11\", expect_size=\"38230016\"] \n  39 -> 40 [size =\"38230016\"]\n  40 [size=\"66515627\", alpha=\"0.08\", expect_size=\"19954688\"] \n  40 -> 41 [size =\"19954688\"]\n  41 [size=\"65559893\", alpha=\"0.14\", expect_size=\"19667968\"] \n  41 -> 42 [size =\"19667968\"]\n  42 [size=\"72478720\", alpha=\"0.05\", expect_size=\"21743616\"] \n  42 -> 43 [size =\"21743616\"]\n  43 [size=\"99624960\", alpha=\"0.13\", expect_size=\"29887488\"] \n  43 -> 44 [size =\"29887488\"]\n  44 [size=\"153565867\", alpha=\"0.05\", expect_size=\"46069760\"] \n  44 -> 45 [size =\"46069760\"]\n  45 [size=\"138168320\", alpha=\"0.13\", expect_size=\"41450496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94781440\", alpha=\"0.09\", expect_size=\"37912576\"] \n  1 -> 29 [size =\"37912576\"]\n  1 -> 30 [size =\"37912576\"]\n  1 -> 33 [size =\"37912576\"]\n  1 -> 37 [size =\"37912576\"]\n  2 [size=\"68986880\", alpha=\"0.18\", expect_size=\"27594752\"] \n  2 -> 26 [size =\"27594752\"]\n  2 -> 28 [size =\"27594752\"]\n  2 -> 34 [size =\"27594752\"]\n  2 -> 44 [size =\"27594752\"]\n  3 [size=\"93934080\", alpha=\"0.05\", expect_size=\"37573632\"] \n  3 -> 24 [size =\"37573632\"]\n  3 -> 25 [size =\"37573632\"]\n  3 -> 26 [size =\"37573632\"]\n  3 -> 27 [size =\"37573632\"]\n  3 -> 28 [size =\"37573632\"]\n  3 -> 30 [size =\"37573632\"]\n  3 -> 41 [size =\"37573632\"]\n  3 -> 44 [size =\"37573632\"]\n  4 [size=\"124674560\", alpha=\"0.11\", expect_size=\"49869824\"] \n  4 -> 26 [size =\"49869824\"]\n  4 -> 27 [size =\"49869824\"]\n  4 -> 31 [size =\"49869824\"]\n  4 -> 33 [size =\"49869824\"]\n  4 -> 36 [size =\"49869824\"]\n  4 -> 40 [size =\"49869824\"]\n  4 -> 42 [size =\"49869824\"]\n  5 [size=\"85903360\", alpha=\"0.08\", expect_size=\"34361344\"] \n  5 -> 24 [size =\"34361344\"]\n  5 -> 30 [size =\"34361344\"]\n  5 -> 32 [size =\"34361344\"]\n  5 -> 33 [size =\"34361344\"]\n  5 -> 38 [size =\"34361344\"]\n  5 -> 40 [size =\"34361344\"]\n  6 [size=\"74437120\", alpha=\"0.07\", expect_size=\"29774848\"] \n  6 -> 24 [size =\"29774848\"]\n  6 -> 37 [size =\"29774848\"]\n  6 -> 38 [size =\"29774848\"]\n  6 -> 40 [size =\"29774848\"]\n  7 [size=\"58741760\", alpha=\"0.06\", expect_size=\"23496704\"] \n  7 -> 24 [size =\"23496704\"]\n  7 -> 25 [size =\"23496704\"]\n  7 -> 37 [size =\"23496704\"]\n  7 -> 40 [size =\"23496704\"]\n  8 [size=\"105085440\", alpha=\"0.14\", expect_size=\"42034176\"] \n  8 -> 26 [size =\"42034176\"]\n  8 -> 31 [size =\"42034176\"]\n  8 -> 37 [size =\"42034176\"]\n  8 -> 38 [size =\"42034176\"]\n  8 -> 40 [size =\"42034176\"]\n  8 -> 42 [size =\"42034176\"]\n  9 [size=\"20577280\", alpha=\"0.09\", expect_size=\"8230912\"] \n  9 -> 23 [size =\"8230912\"]\n  9 -> 28 [size =\"8230912\"]\n  9 -> 32 [size =\"8230912\"]\n  9 -> 33 [size =\"8230912\"]\n  9 -> 38 [size =\"8230912\"]\n  9 -> 40 [size =\"8230912\"]\n  9 -> 42 [size =\"8230912\"]\n  9 -> 45 [size =\"8230912\"]\n  10 [size=\"33354240\", alpha=\"0.11\", expect_size=\"13341696\"] \n  10 -> 24 [size =\"13341696\"]\n  10 -> 30 [size =\"13341696\"]\n  10 -> 31 [size =\"13341696\"]\n  10 -> 32 [size =\"13341696\"]\n  10 -> 39 [size =\"13341696\"]\n  10 -> 41 [size =\"13341696\"]\n  10 -> 44 [size =\"13341696\"]\n  11 [size=\"102822400\", alpha=\"0.09\", expect_size=\"41128960\"] \n  11 -> 30 [size =\"41128960\"]\n  11 -> 32 [size =\"41128960\"]\n  11 -> 40 [size =\"41128960\"]\n  12 [size=\"38433280\", alpha=\"0.09\", expect_size=\"15373312\"] \n  12 -> 23 [size =\"15373312\"]\n  12 -> 24 [size =\"15373312\"]\n  12 -> 27 [size =\"15373312\"]\n  12 -> 30 [size =\"15373312\"]\n  12 -> 34 [size =\"15373312\"]\n  12 -> 36 [size =\"15373312\"]\n  12 -> 42 [size =\"15373312\"]\n  13 [size=\"24197120\", alpha=\"0.15\", expect_size=\"9678848\"] \n  13 -> 25 [size =\"9678848\"]\n  13 -> 31 [size =\"9678848\"]\n  13 -> 32 [size =\"9678848\"]\n  13 -> 35 [size =\"9678848\"]\n  13 -> 39 [size =\"9678848\"]\n  13 -> 40 [size =\"9678848\"]\n  13 -> 42 [size =\"9678848\"]\n  13 -> 44 [size =\"9678848\"]\n  13 -> 45 [size =\"9678848\"]\n  14 [size=\"54822400\", alpha=\"0.17\", expect_size=\"21928960\"] \n  14 -> 26 [size =\"21928960\"]\n  14 -> 27 [size =\"21928960\"]\n  14 -> 32 [size =\"21928960\"]\n  14 -> 33 [size =\"21928960\"]\n  14 -> 34 [size =\"21928960\"]\n  14 -> 37 [size =\"21928960\"]\n  14 -> 41 [size =\"21928960\"]\n  15 [size=\"120235520\", alpha=\"0.08\", expect_size=\"48094208\"] \n  15 -> 32 [size =\"48094208\"]\n  15 -> 34 [size =\"48094208\"]\n  15 -> 38 [size =\"48094208\"]\n  15 -> 43 [size =\"48094208\"]\n  16 [size=\"48921600\", alpha=\"0.16\", expect_size=\"19568640\"] \n  16 -> 25 [size =\"19568640\"]\n  16 -> 32 [size =\"19568640\"]\n  16 -> 34 [size =\"19568640\"]\n  16 -> 41 [size =\"19568640\"]\n  17 [size=\"93125120\", alpha=\"0.19\", expect_size=\"37250048\"] \n  17 -> 25 [size =\"37250048\"]\n  17 -> 26 [size =\"37250048\"]\n  17 -> 32 [size =\"37250048\"]\n  17 -> 37 [size =\"37250048\"]\n  17 -> 38 [size =\"37250048\"]\n  17 -> 40 [size =\"37250048\"]\n  17 -> 44 [size =\"37250048\"]\n  18 [size=\"126914560\", alpha=\"0.05\", expect_size=\"50765824\"] \n  18 -> 25 [size =\"50765824\"]\n  18 -> 26 [size =\"50765824\"]\n  18 -> 30 [size =\"50765824\"]\n  18 -> 31 [size =\"50765824\"]\n  18 -> 33 [size =\"50765824\"]\n  18 -> 35 [size =\"50765824\"]\n  18 -> 36 [size =\"50765824\"]\n  18 -> 37 [size =\"50765824\"]\n  18 -> 38 [size =\"50765824\"]\n  18 -> 39 [size =\"50765824\"]\n  19 [size=\"89991680\", alpha=\"0.09\", expect_size=\"35996672\"] \n  19 -> 24 [size =\"35996672\"]\n  19 -> 25 [size =\"35996672\"]\n  19 -> 26 [size =\"35996672\"]\n  19 -> 30 [size =\"35996672\"]\n  19 -> 31 [size =\"35996672\"]\n  19 -> 37 [size =\"35996672\"]\n  19 -> 40 [size =\"35996672\"]\n  19 -> 42 [size =\"35996672\"]\n  20 [size=\"27814400\", alpha=\"0.15\", expect_size=\"11125760\"] \n  20 -> 28 [size =\"11125760\"]\n  20 -> 30 [size =\"11125760\"]\n  20 -> 31 [size =\"11125760\"]\n  20 -> 33 [size =\"11125760\"]\n  21 [size=\"92800000\", alpha=\"0.16\", expect_size=\"37120000\"] \n  21 -> 24 [size =\"37120000\"]\n  21 -> 25 [size =\"37120000\"]\n  21 -> 30 [size =\"37120000\"]\n  21 -> 31 [size =\"37120000\"]\n  21 -> 32 [size =\"37120000\"]\n  21 -> 37 [size =\"37120000\"]\n  21 -> 40 [size =\"37120000\"]\n  22 [size=\"26365440\", alpha=\"0.06\", expect_size=\"10546176\"] \n  22 -> 25 [size =\"10546176\"]\n  22 -> 31 [size =\"10546176\"]\n  22 -> 32 [size =\"10546176\"]\n  22 -> 36 [size =\"10546176\"]\n  23 [size=\"80916480\", alpha=\"0.09\", expect_size=\"32366592\"] \n  24 [size=\"48711680\", alpha=\"0.11\", expect_size=\"19484672\"] \n  25 [size=\"30970880\", alpha=\"0.06\", expect_size=\"12388352\"] \n  26 [size=\"75686400\", alpha=\"0.11\", expect_size=\"30274560\"] \n  27 [size=\"52055040\", alpha=\"0.04\", expect_size=\"20822016\"] \n  28 [size=\"44579840\", alpha=\"0.13\", expect_size=\"17831936\"] \n  29 [size=\"71255040\", alpha=\"0.03\", expect_size=\"28502016\"] \n  30 [size=\"123394560\", alpha=\"0.16\", expect_size=\"49357824\"] \n  31 [size=\"95928320\", alpha=\"0.04\", expect_size=\"38371328\"] \n  32 [size=\"70535680\", alpha=\"0.17\", expect_size=\"28214272\"] \n  33 [size=\"103096320\", alpha=\"0.12\", expect_size=\"41238528\"] \n  34 [size=\"38504960\", alpha=\"0.13\", expect_size=\"15401984\"] \n  35 [size=\"106296320\", alpha=\"0.13\", expect_size=\"42518528\"] \n  36 [size=\"25374720\", alpha=\"0.19\", expect_size=\"10149888\"] \n  37 [size=\"92997120\", alpha=\"0.19\", expect_size=\"37198848\"] \n  38 [size=\"118868480\", alpha=\"0.17\", expect_size=\"47547392\"] \n  39 [size=\"77004800\", alpha=\"0.09\", expect_size=\"30801920\"] \n  40 [size=\"92843520\", alpha=\"0.03\", expect_size=\"37137408\"] \n  41 [size=\"68664320\", alpha=\"0.11\", expect_size=\"27465728\"] \n  42 [size=\"94187520\", alpha=\"0.01\", expect_size=\"37675008\"] \n  43 [size=\"76776960\", alpha=\"0.03\", expect_size=\"30710784\"] \n  44 [size=\"27520000\", alpha=\"0.10\", expect_size=\"11008000\"] \n  45 [size=\"106099200\", alpha=\"0.01\", expect_size=\"42439680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123747840\", alpha=\"0.05\", expect_size=\"49499136\"] \n  1 -> 9 [size =\"49499136\"]\n  2 [size=\"63846400\", alpha=\"0.12\", expect_size=\"25538560\"] \n  2 -> 9 [size =\"25538560\"]\n  2 -> 11 [size =\"25538560\"]\n  3 [size=\"125721600\", alpha=\"0.11\", expect_size=\"50288640\"] \n  3 -> 8 [size =\"50288640\"]\n  3 -> 9 [size =\"50288640\"]\n  3 -> 11 [size =\"50288640\"]\n  4 [size=\"109153280\", alpha=\"0.01\", expect_size=\"43661312\"] \n  4 -> 10 [size =\"43661312\"]\n  4 -> 11 [size =\"43661312\"]\n  5 [size=\"43061760\", alpha=\"0.11\", expect_size=\"17224704\"] \n  5 -> 9 [size =\"17224704\"]\n  5 -> 10 [size =\"17224704\"]\n  6 [size=\"43632640\", alpha=\"0.20\", expect_size=\"17453056\"] \n  6 -> 7 [size =\"17453056\"]\n  6 -> 8 [size =\"17453056\"]\n  6 -> 10 [size =\"17453056\"]\n  7 [size=\"86090240\", alpha=\"0.16\", expect_size=\"34436096\"] \n  7 -> 14 [size =\"34436096\"]\n  7 -> 15 [size =\"34436096\"]\n  8 [size=\"21480960\", alpha=\"0.04\", expect_size=\"8592384\"] \n  8 -> 12 [size =\"8592384\"]\n  8 -> 14 [size =\"8592384\"]\n  8 -> 15 [size =\"8592384\"]\n  9 [size=\"56842240\", alpha=\"0.01\", expect_size=\"22736896\"] \n  9 -> 13 [size =\"22736896\"]\n  9 -> 16 [size =\"22736896\"]\n  10 [size=\"47129600\", alpha=\"0.10\", expect_size=\"18851840\"] \n  10 -> 14 [size =\"18851840\"]\n  11 [size=\"23388160\", alpha=\"0.16\", expect_size=\"9355264\"] \n  11 -> 15 [size =\"9355264\"]\n  11 -> 16 [size =\"9355264\"]\n  12 [size=\"55523840\", alpha=\"0.09\", expect_size=\"22209536\"] \n  12 -> 18 [size =\"22209536\"]\n  12 -> 20 [size =\"22209536\"]\n  12 -> 21 [size =\"22209536\"]\n  13 [size=\"126709760\", alpha=\"0.14\", expect_size=\"50683904\"] \n  13 -> 18 [size =\"50683904\"]\n  13 -> 19 [size =\"50683904\"]\n  14 [size=\"73850880\", alpha=\"0.18\", expect_size=\"29540352\"] \n  14 -> 17 [size =\"29540352\"]\n  15 [size=\"78026240\", alpha=\"0.12\", expect_size=\"31210496\"] \n  16 [size=\"22131200\", alpha=\"0.05\", expect_size=\"8852480\"] \n  16 -> 18 [size =\"8852480\"]\n  16 -> 19 [size =\"8852480\"]\n  16 -> 20 [size =\"8852480\"]\n  17 [size=\"20661760\", alpha=\"0.19\", expect_size=\"8264704\"] \n  17 -> 23 [size =\"8264704\"]\n  17 -> 24 [size =\"8264704\"]\n  17 -> 27 [size =\"8264704\"]\n  18 [size=\"115571200\", alpha=\"0.08\", expect_size=\"46228480\"] \n  18 -> 23 [size =\"46228480\"]\n  19 [size=\"23590400\", alpha=\"0.18\", expect_size=\"9436160\"] \n  19 -> 24 [size =\"9436160\"]\n  19 -> 25 [size =\"9436160\"]\n  19 -> 27 [size =\"9436160\"]\n  20 [size=\"28707840\", alpha=\"0.13\", expect_size=\"11483136\"] \n  20 -> 22 [size =\"11483136\"]\n  20 -> 25 [size =\"11483136\"]\n  20 -> 26 [size =\"11483136\"]\n  21 [size=\"89328640\", alpha=\"0.06\", expect_size=\"35731456\"] \n  21 -> 23 [size =\"35731456\"]\n  21 -> 25 [size =\"35731456\"]\n  21 -> 26 [size =\"35731456\"]\n  22 [size=\"65013760\", alpha=\"0.08\", expect_size=\"26005504\"] \n  22 -> 31 [size =\"26005504\"]\n  22 -> 32 [size =\"26005504\"]\n  23 [size=\"118563840\", alpha=\"0.10\", expect_size=\"47425536\"] \n  23 -> 32 [size =\"47425536\"]\n  24 [size=\"84971520\", alpha=\"0.07\", expect_size=\"33988608\"] \n  24 -> 29 [size =\"33988608\"]\n  24 -> 33 [size =\"33988608\"]\n  25 [size=\"75194880\", alpha=\"0.10\", expect_size=\"30077952\"] \n  25 -> 29 [size =\"30077952\"]\n  25 -> 33 [size =\"30077952\"]\n  26 [size=\"29637120\", alpha=\"0.18\", expect_size=\"11854848\"] \n  26 -> 29 [size =\"11854848\"]\n  26 -> 30 [size =\"11854848\"]\n  27 [size=\"60953600\", alpha=\"0.18\", expect_size=\"24381440\"] \n  27 -> 28 [size =\"24381440\"]\n  27 -> 29 [size =\"24381440\"]\n  27 -> 30 [size =\"24381440\"]\n  27 -> 33 [size =\"24381440\"]\n  28 [size=\"52840960\", alpha=\"0.20\", expect_size=\"21136384\"] \n  28 -> 35 [size =\"21136384\"]\n  28 -> 36 [size =\"21136384\"]\n  28 -> 37 [size =\"21136384\"]\n  29 [size=\"99310080\", alpha=\"0.09\", expect_size=\"39724032\"] \n  29 -> 35 [size =\"39724032\"]\n  29 -> 37 [size =\"39724032\"]\n  30 [size=\"85793280\", alpha=\"0.04\", expect_size=\"34317312\"] \n  30 -> 34 [size =\"34317312\"]\n  30 -> 35 [size =\"34317312\"]\n  31 [size=\"41899520\", alpha=\"0.00\", expect_size=\"16759808\"] \n  31 -> 37 [size =\"16759808\"]\n  31 -> 38 [size =\"16759808\"]\n  32 [size=\"78274560\", alpha=\"0.04\", expect_size=\"31309824\"] \n  32 -> 34 [size =\"31309824\"]\n  32 -> 38 [size =\"31309824\"]\n  33 [size=\"127687680\", alpha=\"0.07\", expect_size=\"51075072\"] \n  33 -> 34 [size =\"51075072\"]\n  33 -> 36 [size =\"51075072\"]\n  34 [size=\"66828800\", alpha=\"0.00\", expect_size=\"26731520\"] \n  34 -> 41 [size =\"26731520\"]\n  35 [size=\"109706240\", alpha=\"0.04\", expect_size=\"43882496\"] \n  35 -> 43 [size =\"43882496\"]\n  36 [size=\"50347520\", alpha=\"0.10\", expect_size=\"20139008\"] \n  36 -> 39 [size =\"20139008\"]\n  36 -> 40 [size =\"20139008\"]\n  36 -> 42 [size =\"20139008\"]\n  37 [size=\"37245440\", alpha=\"0.17\", expect_size=\"14898176\"] \n  37 -> 41 [size =\"14898176\"]\n  37 -> 42 [size =\"14898176\"]\n  38 [size=\"25418240\", alpha=\"0.02\", expect_size=\"10167296\"] \n  38 -> 42 [size =\"10167296\"]\n  39 [size=\"23242240\", alpha=\"0.08\", expect_size=\"9296896\"] \n  40 [size=\"74449920\", alpha=\"0.17\", expect_size=\"29779968\"] \n  40 -> 44 [size =\"29779968\"]\n  41 [size=\"95104000\", alpha=\"0.19\", expect_size=\"38041600\"] \n  42 [size=\"95485440\", alpha=\"0.10\", expect_size=\"38194176\"] \n  42 -> 44 [size =\"38194176\"]\n  42 -> 45 [size =\"38194176\"]\n  43 [size=\"118013440\", alpha=\"0.18\", expect_size=\"47205376\"] \n  43 -> 45 [size =\"47205376\"]\n  44 [size=\"40358400\", alpha=\"0.19\", expect_size=\"16143360\"] \n  45 [size=\"41228800\", alpha=\"0.10\", expect_size=\"16491520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48267264\", alpha=\"0.04\", expect_size=\"24133632\"] \n  1 -> 18 [size =\"24133632\"]\n  1 -> 24 [size =\"24133632\"]\n  1 -> 24 [size =\"24133632\"]\n  1 -> 28 [size =\"24133632\"]\n  1 -> 38 [size =\"24133632\"]\n  1 -> 45 [size =\"24133632\"]\n  2 [size=\"91045888\", alpha=\"0.11\", expect_size=\"45522944\"] \n  2 -> 20 [size =\"45522944\"]\n  2 -> 23 [size =\"45522944\"]\n  2 -> 25 [size =\"45522944\"]\n  2 -> 27 [size =\"45522944\"]\n  2 -> 30 [size =\"45522944\"]\n  2 -> 33 [size =\"45522944\"]\n  2 -> 34 [size =\"45522944\"]\n  2 -> 36 [size =\"45522944\"]\n  2 -> 40 [size =\"45522944\"]\n  3 [size=\"95690752\", alpha=\"0.16\", expect_size=\"47845376\"] \n  3 -> 20 [size =\"47845376\"]\n  3 -> 23 [size =\"47845376\"]\n  3 -> 25 [size =\"47845376\"]\n  3 -> 28 [size =\"47845376\"]\n  3 -> 36 [size =\"47845376\"]\n  3 -> 37 [size =\"47845376\"]\n  3 -> 41 [size =\"47845376\"]\n  3 -> 43 [size =\"47845376\"]\n  4 [size=\"65970176\", alpha=\"0.05\", expect_size=\"32985088\"] \n  4 -> 16 [size =\"32985088\"]\n  4 -> 17 [size =\"32985088\"]\n  4 -> 23 [size =\"32985088\"]\n  4 -> 24 [size =\"32985088\"]\n  4 -> 28 [size =\"32985088\"]\n  4 -> 32 [size =\"32985088\"]\n  4 -> 34 [size =\"32985088\"]\n  4 -> 36 [size =\"32985088\"]\n  4 -> 39 [size =\"32985088\"]\n  4 -> 44 [size =\"32985088\"]\n  4 -> 45 [size =\"32985088\"]\n  5 [size=\"64907264\", alpha=\"0.12\", expect_size=\"32453632\"] \n  5 -> 17 [size =\"32453632\"]\n  5 -> 19 [size =\"32453632\"]\n  5 -> 20 [size =\"32453632\"]\n  5 -> 22 [size =\"32453632\"]\n  5 -> 24 [size =\"32453632\"]\n  5 -> 30 [size =\"32453632\"]\n  5 -> 32 [size =\"32453632\"]\n  5 -> 38 [size =\"32453632\"]\n  5 -> 39 [size =\"32453632\"]\n  5 -> 40 [size =\"32453632\"]\n  5 -> 43 [size =\"32453632\"]\n  5 -> 44 [size =\"32453632\"]\n  6 [size=\"16936960\", alpha=\"0.10\", expect_size=\"8468480\"] \n  6 -> 17 [size =\"8468480\"]\n  6 -> 18 [size =\"8468480\"]\n  6 -> 19 [size =\"8468480\"]\n  6 -> 22 [size =\"8468480\"]\n  6 -> 23 [size =\"8468480\"]\n  6 -> 25 [size =\"8468480\"]\n  6 -> 32 [size =\"8468480\"]\n  6 -> 33 [size =\"8468480\"]\n  6 -> 34 [size =\"8468480\"]\n  6 -> 35 [size =\"8468480\"]\n  6 -> 36 [size =\"8468480\"]\n  6 -> 38 [size =\"8468480\"]\n  6 -> 42 [size =\"8468480\"]\n  7 [size=\"26103808\", alpha=\"0.02\", expect_size=\"13051904\"] \n  7 -> 17 [size =\"13051904\"]\n  7 -> 18 [size =\"13051904\"]\n  7 -> 19 [size =\"13051904\"]\n  7 -> 20 [size =\"13051904\"]\n  7 -> 21 [size =\"13051904\"]\n  7 -> 22 [size =\"13051904\"]\n  7 -> 23 [size =\"13051904\"]\n  7 -> 30 [size =\"13051904\"]\n  7 -> 36 [size =\"13051904\"]\n  7 -> 37 [size =\"13051904\"]\n  7 -> 42 [size =\"13051904\"]\n  7 -> 45 [size =\"13051904\"]\n  8 [size=\"81336320\", alpha=\"0.12\", expect_size=\"40668160\"] \n  8 -> 16 [size =\"40668160\"]\n  8 -> 17 [size =\"40668160\"]\n  8 -> 18 [size =\"40668160\"]\n  8 -> 20 [size =\"40668160\"]\n  8 -> 21 [size =\"40668160\"]\n  8 -> 22 [size =\"40668160\"]\n  8 -> 37 [size =\"40668160\"]\n  8 -> 38 [size =\"40668160\"]\n  8 -> 43 [size =\"40668160\"]\n  9 [size=\"46888960\", alpha=\"0.17\", expect_size=\"23444480\"] \n  9 -> 16 [size =\"23444480\"]\n  9 -> 17 [size =\"23444480\"]\n  9 -> 18 [size =\"23444480\"]\n  9 -> 19 [size =\"23444480\"]\n  9 -> 21 [size =\"23444480\"]\n  9 -> 22 [size =\"23444480\"]\n  9 -> 26 [size =\"23444480\"]\n  9 -> 29 [size =\"23444480\"]\n  9 -> 33 [size =\"23444480\"]\n  9 -> 34 [size =\"23444480\"]\n  9 -> 38 [size =\"23444480\"]\n  9 -> 39 [size =\"23444480\"]\n  9 -> 40 [size =\"23444480\"]\n  9 -> 41 [size =\"23444480\"]\n  9 -> 45 [size =\"23444480\"]\n  10 [size=\"96034816\", alpha=\"0.17\", expect_size=\"48017408\"] \n  10 -> 17 [size =\"48017408\"]\n  10 -> 18 [size =\"48017408\"]\n  10 -> 18 [size =\"48017408\"]\n  10 -> 19 [size =\"48017408\"]\n  10 -> 32 [size =\"48017408\"]\n  10 -> 33 [size =\"48017408\"]\n  10 -> 38 [size =\"48017408\"]\n  10 -> 39 [size =\"48017408\"]\n  10 -> 43 [size =\"48017408\"]\n  10 -> 44 [size =\"48017408\"]\n  10 -> 45 [size =\"48017408\"]\n  11 [size=\"71174144\", alpha=\"0.10\", expect_size=\"35587072\"] \n  11 -> 19 [size =\"35587072\"]\n  11 -> 21 [size =\"35587072\"]\n  11 -> 22 [size =\"35587072\"]\n  11 -> 25 [size =\"35587072\"]\n  11 -> 26 [size =\"35587072\"]\n  11 -> 29 [size =\"35587072\"]\n  11 -> 32 [size =\"35587072\"]\n  11 -> 34 [size =\"35587072\"]\n  11 -> 35 [size =\"35587072\"]\n  11 -> 39 [size =\"35587072\"]\n  11 -> 44 [size =\"35587072\"]\n  11 -> 45 [size =\"35587072\"]\n  12 [size=\"88616960\", alpha=\"0.09\", expect_size=\"44308480\"] \n  12 -> 16 [size =\"44308480\"]\n  12 -> 21 [size =\"44308480\"]\n  12 -> 24 [size =\"44308480\"]\n  12 -> 31 [size =\"44308480\"]\n  12 -> 35 [size =\"44308480\"]\n  12 -> 36 [size =\"44308480\"]\n  12 -> 39 [size =\"44308480\"]\n  13 [size=\"46430208\", alpha=\"0.01\", expect_size=\"23215104\"] \n  13 -> 16 [size =\"23215104\"]\n  13 -> 21 [size =\"23215104\"]\n  13 -> 24 [size =\"23215104\"]\n  13 -> 26 [size =\"23215104\"]\n  13 -> 31 [size =\"23215104\"]\n  13 -> 35 [size =\"23215104\"]\n  13 -> 38 [size =\"23215104\"]\n  13 -> 44 [size =\"23215104\"]\n  14 [size=\"26607616\", alpha=\"0.06\", expect_size=\"13303808\"] \n  14 -> 18 [size =\"13303808\"]\n  14 -> 20 [size =\"13303808\"]\n  14 -> 21 [size =\"13303808\"]\n  14 -> 28 [size =\"13303808\"]\n  14 -> 31 [size =\"13303808\"]\n  14 -> 32 [size =\"13303808\"]\n  14 -> 35 [size =\"13303808\"]\n  14 -> 37 [size =\"13303808\"]\n  14 -> 43 [size =\"13303808\"]\n  14 -> 44 [size =\"13303808\"]\n  15 [size=\"50475008\", alpha=\"0.03\", expect_size=\"25237504\"] \n  15 -> 21 [size =\"25237504\"]\n  15 -> 23 [size =\"25237504\"]\n  15 -> 24 [size =\"25237504\"]\n  15 -> 27 [size =\"25237504\"]\n  15 -> 35 [size =\"25237504\"]\n  15 -> 36 [size =\"25237504\"]\n  15 -> 43 [size =\"25237504\"]\n  16 [size=\"13842432\", alpha=\"0.17\", expect_size=\"6921216\"] \n  17 [size=\"62027776\", alpha=\"0.14\", expect_size=\"31013888\"] \n  18 [size=\"70008832\", alpha=\"0.18\", expect_size=\"35004416\"] \n  19 [size=\"31256576\", alpha=\"0.08\", expect_size=\"15628288\"] \n  20 [size=\"14848000\", alpha=\"0.03\", expect_size=\"7424000\"] \n  21 [size=\"93673472\", alpha=\"0.07\", expect_size=\"46836736\"] \n  22 [size=\"46399488\", alpha=\"0.07\", expect_size=\"23199744\"] \n  23 [size=\"90361856\", alpha=\"0.06\", expect_size=\"45180928\"] \n  24 [size=\"96571392\", alpha=\"0.17\", expect_size=\"48285696\"] \n  25 [size=\"29556736\", alpha=\"0.19\", expect_size=\"14778368\"] \n  26 [size=\"44056576\", alpha=\"0.02\", expect_size=\"22028288\"] \n  27 [size=\"29173760\", alpha=\"0.09\", expect_size=\"14586880\"] \n  28 [size=\"94347264\", alpha=\"0.10\", expect_size=\"47173632\"] \n  29 [size=\"84142080\", alpha=\"0.20\", expect_size=\"42071040\"] \n  30 [size=\"25792512\", alpha=\"0.07\", expect_size=\"12896256\"] \n  31 [size=\"40990720\", alpha=\"0.08\", expect_size=\"20495360\"] \n  32 [size=\"73150464\", alpha=\"0.05\", expect_size=\"36575232\"] \n  33 [size=\"14088192\", alpha=\"0.09\", expect_size=\"7044096\"] \n  34 [size=\"43380736\", alpha=\"0.17\", expect_size=\"21690368\"] \n  35 [size=\"27770880\", alpha=\"0.14\", expect_size=\"13885440\"] \n  36 [size=\"21682176\", alpha=\"0.11\", expect_size=\"10841088\"] \n  37 [size=\"31563776\", alpha=\"0.19\", expect_size=\"15781888\"] \n  38 [size=\"73035776\", alpha=\"0.00\", expect_size=\"36517888\"] \n  39 [size=\"28209152\", alpha=\"0.05\", expect_size=\"14104576\"] \n  40 [size=\"27856896\", alpha=\"0.11\", expect_size=\"13928448\"] \n  41 [size=\"63160320\", alpha=\"0.15\", expect_size=\"31580160\"] \n  42 [size=\"100433920\", alpha=\"0.06\", expect_size=\"50216960\"] \n  43 [size=\"29067264\", alpha=\"0.14\", expect_size=\"14533632\"] \n  44 [size=\"73748480\", alpha=\"0.01\", expect_size=\"36874240\"] \n  45 [size=\"61859840\", alpha=\"0.11\", expect_size=\"30929920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50776064\", alpha=\"0.00\", expect_size=\"25388032\"] \n  1 -> 26 [size =\"25388032\"]\n  1 -> 28 [size =\"25388032\"]\n  1 -> 29 [size =\"25388032\"]\n  1 -> 30 [size =\"25388032\"]\n  1 -> 35 [size =\"25388032\"]\n  1 -> 42 [size =\"25388032\"]\n  1 -> 43 [size =\"25388032\"]\n  1 -> 44 [size =\"25388032\"]\n  2 [size=\"75296768\", alpha=\"0.06\", expect_size=\"37648384\"] \n  2 -> 30 [size =\"37648384\"]\n  2 -> 38 [size =\"37648384\"]\n  2 -> 42 [size =\"37648384\"]\n  2 -> 43 [size =\"37648384\"]\n  3 [size=\"40974336\", alpha=\"0.02\", expect_size=\"20487168\"] \n  3 -> 28 [size =\"20487168\"]\n  3 -> 29 [size =\"20487168\"]\n  3 -> 30 [size =\"20487168\"]\n  3 -> 31 [size =\"20487168\"]\n  3 -> 37 [size =\"20487168\"]\n  3 -> 43 [size =\"20487168\"]\n  3 -> 44 [size =\"20487168\"]\n  4 [size=\"59947008\", alpha=\"0.07\", expect_size=\"29973504\"] \n  4 -> 24 [size =\"29973504\"]\n  4 -> 26 [size =\"29973504\"]\n  4 -> 28 [size =\"29973504\"]\n  4 -> 29 [size =\"29973504\"]\n  4 -> 30 [size =\"29973504\"]\n  4 -> 37 [size =\"29973504\"]\n  4 -> 38 [size =\"29973504\"]\n  4 -> 43 [size =\"29973504\"]\n  4 -> 44 [size =\"29973504\"]\n  5 [size=\"46254080\", alpha=\"0.10\", expect_size=\"23127040\"] \n  5 -> 24 [size =\"23127040\"]\n  5 -> 26 [size =\"23127040\"]\n  5 -> 28 [size =\"23127040\"]\n  5 -> 30 [size =\"23127040\"]\n  5 -> 31 [size =\"23127040\"]\n  5 -> 38 [size =\"23127040\"]\n  5 -> 38 [size =\"23127040\"]\n  5 -> 40 [size =\"23127040\"]\n  5 -> 42 [size =\"23127040\"]\n  6 [size=\"12830720\", alpha=\"0.15\", expect_size=\"6415360\"] \n  6 -> 26 [size =\"6415360\"]\n  6 -> 28 [size =\"6415360\"]\n  6 -> 28 [size =\"6415360\"]\n  6 -> 29 [size =\"6415360\"]\n  6 -> 31 [size =\"6415360\"]\n  6 -> 40 [size =\"6415360\"]\n  6 -> 41 [size =\"6415360\"]\n  6 -> 42 [size =\"6415360\"]\n  6 -> 44 [size =\"6415360\"]\n  7 [size=\"89432064\", alpha=\"0.10\", expect_size=\"44716032\"] \n  7 -> 23 [size =\"44716032\"]\n  7 -> 28 [size =\"44716032\"]\n  7 -> 29 [size =\"44716032\"]\n  7 -> 31 [size =\"44716032\"]\n  7 -> 33 [size =\"44716032\"]\n  7 -> 41 [size =\"44716032\"]\n  7 -> 43 [size =\"44716032\"]\n  7 -> 44 [size =\"44716032\"]\n  8 [size=\"19326976\", alpha=\"0.02\", expect_size=\"9663488\"] \n  8 -> 23 [size =\"9663488\"]\n  8 -> 27 [size =\"9663488\"]\n  8 -> 29 [size =\"9663488\"]\n  8 -> 31 [size =\"9663488\"]\n  8 -> 32 [size =\"9663488\"]\n  8 -> 35 [size =\"9663488\"]\n  8 -> 38 [size =\"9663488\"]\n  8 -> 42 [size =\"9663488\"]\n  8 -> 43 [size =\"9663488\"]\n  8 -> 44 [size =\"9663488\"]\n  9 [size=\"98816000\", alpha=\"0.10\", expect_size=\"49408000\"] \n  9 -> 23 [size =\"49408000\"]\n  9 -> 27 [size =\"49408000\"]\n  9 -> 29 [size =\"49408000\"]\n  9 -> 31 [size =\"49408000\"]\n  9 -> 35 [size =\"49408000\"]\n  9 -> 38 [size =\"49408000\"]\n  9 -> 38 [size =\"49408000\"]\n  9 -> 39 [size =\"49408000\"]\n  9 -> 42 [size =\"49408000\"]\n  9 -> 44 [size =\"49408000\"]\n  10 [size=\"55713792\", alpha=\"0.12\", expect_size=\"27856896\"] \n  10 -> 22 [size =\"27856896\"]\n  10 -> 23 [size =\"27856896\"]\n  10 -> 27 [size =\"27856896\"]\n  10 -> 28 [size =\"27856896\"]\n  10 -> 29 [size =\"27856896\"]\n  10 -> 30 [size =\"27856896\"]\n  10 -> 35 [size =\"27856896\"]\n  10 -> 42 [size =\"27856896\"]\n  10 -> 43 [size =\"27856896\"]\n  11 [size=\"100495360\", alpha=\"0.10\", expect_size=\"50247680\"] \n  11 -> 26 [size =\"50247680\"]\n  11 -> 29 [size =\"50247680\"]\n  11 -> 30 [size =\"50247680\"]\n  11 -> 31 [size =\"50247680\"]\n  11 -> 33 [size =\"50247680\"]\n  11 -> 40 [size =\"50247680\"]\n  11 -> 41 [size =\"50247680\"]\n  11 -> 43 [size =\"50247680\"]\n  11 -> 43 [size =\"50247680\"]\n  12 [size=\"101398528\", alpha=\"0.00\", expect_size=\"50699264\"] \n  12 -> 24 [size =\"50699264\"]\n  12 -> 29 [size =\"50699264\"]\n  12 -> 31 [size =\"50699264\"]\n  12 -> 41 [size =\"50699264\"]\n  13 [size=\"34088960\", alpha=\"0.01\", expect_size=\"17044480\"] \n  13 -> 26 [size =\"17044480\"]\n  13 -> 28 [size =\"17044480\"]\n  13 -> 29 [size =\"17044480\"]\n  13 -> 30 [size =\"17044480\"]\n  13 -> 31 [size =\"17044480\"]\n  13 -> 33 [size =\"17044480\"]\n  13 -> 35 [size =\"17044480\"]\n  13 -> 41 [size =\"17044480\"]\n  13 -> 43 [size =\"17044480\"]\n  13 -> 44 [size =\"17044480\"]\n  14 [size=\"42459136\", alpha=\"0.09\", expect_size=\"21229568\"] \n  14 -> 23 [size =\"21229568\"]\n  14 -> 26 [size =\"21229568\"]\n  14 -> 28 [size =\"21229568\"]\n  14 -> 30 [size =\"21229568\"]\n  14 -> 31 [size =\"21229568\"]\n  14 -> 35 [size =\"21229568\"]\n  14 -> 35 [size =\"21229568\"]\n  14 -> 38 [size =\"21229568\"]\n  14 -> 43 [size =\"21229568\"]\n  14 -> 44 [size =\"21229568\"]\n  15 [size=\"74248192\", alpha=\"0.03\", expect_size=\"37124096\"] \n  15 -> 25 [size =\"37124096\"]\n  15 -> 29 [size =\"37124096\"]\n  15 -> 31 [size =\"37124096\"]\n  15 -> 33 [size =\"37124096\"]\n  15 -> 35 [size =\"37124096\"]\n  15 -> 35 [size =\"37124096\"]\n  15 -> 36 [size =\"37124096\"]\n  15 -> 38 [size =\"37124096\"]\n  15 -> 42 [size =\"37124096\"]\n  15 -> 44 [size =\"37124096\"]\n  16 [size=\"29245440\", alpha=\"0.04\", expect_size=\"14622720\"] \n  16 -> 25 [size =\"14622720\"]\n  16 -> 30 [size =\"14622720\"]\n  16 -> 33 [size =\"14622720\"]\n  16 -> 37 [size =\"14622720\"]\n  16 -> 38 [size =\"14622720\"]\n  16 -> 40 [size =\"14622720\"]\n  16 -> 42 [size =\"14622720\"]\n  17 [size=\"100841472\", alpha=\"0.03\", expect_size=\"50420736\"] \n  17 -> 34 [size =\"50420736\"]\n  17 -> 35 [size =\"50420736\"]\n  17 -> 37 [size =\"50420736\"]\n  17 -> 38 [size =\"50420736\"]\n  17 -> 38 [size =\"50420736\"]\n  17 -> 39 [size =\"50420736\"]\n  17 -> 41 [size =\"50420736\"]\n  17 -> 44 [size =\"50420736\"]\n  18 [size=\"52817920\", alpha=\"0.05\", expect_size=\"26408960\"] \n  18 -> 29 [size =\"26408960\"]\n  18 -> 31 [size =\"26408960\"]\n  18 -> 33 [size =\"26408960\"]\n  18 -> 34 [size =\"26408960\"]\n  18 -> 35 [size =\"26408960\"]\n  18 -> 42 [size =\"26408960\"]\n  18 -> 43 [size =\"26408960\"]\n  18 -> 44 [size =\"26408960\"]\n  19 [size=\"62476288\", alpha=\"0.06\", expect_size=\"31238144\"] \n  19 -> 24 [size =\"31238144\"]\n  19 -> 26 [size =\"31238144\"]\n  19 -> 29 [size =\"31238144\"]\n  19 -> 30 [size =\"31238144\"]\n  19 -> 31 [size =\"31238144\"]\n  19 -> 37 [size =\"31238144\"]\n  19 -> 42 [size =\"31238144\"]\n  19 -> 43 [size =\"31238144\"]\n  19 -> 44 [size =\"31238144\"]\n  20 [size=\"14659584\", alpha=\"0.07\", expect_size=\"7329792\"] \n  20 -> 29 [size =\"7329792\"]\n  20 -> 30 [size =\"7329792\"]\n  20 -> 35 [size =\"7329792\"]\n  20 -> 38 [size =\"7329792\"]\n  20 -> 40 [size =\"7329792\"]\n  20 -> 42 [size =\"7329792\"]\n  21 [size=\"71841792\", alpha=\"0.17\", expect_size=\"35920896\"] \n  21 -> 23 [size =\"35920896\"]\n  21 -> 30 [size =\"35920896\"]\n  21 -> 35 [size =\"35920896\"]\n  21 -> 36 [size =\"35920896\"]\n  21 -> 38 [size =\"35920896\"]\n  21 -> 42 [size =\"35920896\"]\n  22 [size=\"23738368\", alpha=\"0.00\", expect_size=\"11869184\"] \n  22 -> 45 [size =\"11869184\"]\n  23 [size=\"24592384\", alpha=\"0.11\", expect_size=\"12296192\"] \n  23 -> 45 [size =\"12296192\"]\n  24 [size=\"28921856\", alpha=\"0.11\", expect_size=\"14460928\"] \n  25 [size=\"71727104\", alpha=\"0.19\", expect_size=\"35863552\"] \n  25 -> 45 [size =\"35863552\"]\n  26 [size=\"84971520\", alpha=\"0.08\", expect_size=\"42485760\"] \n  26 -> 45 [size =\"42485760\"]\n  27 [size=\"104099840\", alpha=\"0.13\", expect_size=\"52049920\"] \n  27 -> 45 [size =\"52049920\"]\n  28 [size=\"22777856\", alpha=\"0.00\", expect_size=\"11388928\"] \n  29 [size=\"47446016\", alpha=\"0.06\", expect_size=\"23723008\"] \n  30 [size=\"74393600\", alpha=\"0.02\", expect_size=\"37196800\"] \n  31 [size=\"13170688\", alpha=\"0.16\", expect_size=\"6585344\"] \n  31 -> 45 [size =\"6585344\"]\n  32 [size=\"92813312\", alpha=\"0.10\", expect_size=\"46406656\"] \n  32 -> 45 [size =\"46406656\"]\n  33 [size=\"95016960\", alpha=\"0.09\", expect_size=\"47508480\"] \n  33 -> 45 [size =\"47508480\"]\n  34 [size=\"50274304\", alpha=\"0.15\", expect_size=\"25137152\"] \n  34 -> 45 [size =\"25137152\"]\n  35 [size=\"102416384\", alpha=\"0.14\", expect_size=\"51208192\"] \n  35 -> 45 [size =\"51208192\"]\n  36 [size=\"98469888\", alpha=\"0.17\", expect_size=\"49234944\"] \n  36 -> 45 [size =\"49234944\"]\n  37 [size=\"40779776\", alpha=\"0.19\", expect_size=\"20389888\"] \n  38 [size=\"102668288\", alpha=\"0.11\", expect_size=\"51334144\"] \n  39 [size=\"104228864\", alpha=\"0.13\", expect_size=\"52114432\"] \n  39 -> 45 [size =\"52114432\"]\n  40 [size=\"39426048\", alpha=\"0.16\", expect_size=\"19713024\"] \n  40 -> 45 [size =\"19713024\"]\n  41 [size=\"47857664\", alpha=\"0.12\", expect_size=\"23928832\"] \n  41 -> 45 [size =\"23928832\"]\n  42 [size=\"30791680\", alpha=\"0.11\", expect_size=\"15395840\"] \n  42 -> 45 [size =\"15395840\"]\n  43 [size=\"79140864\", alpha=\"0.13\", expect_size=\"39570432\"] \n  44 [size=\"27768832\", alpha=\"0.19\", expect_size=\"13884416\"] \n  44 -> 45 [size =\"13884416\"]\n  45 [size=\"97388544\", alpha=\"0.18\", expect_size=\"48694272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27594752\", alpha=\"0.10\", expect_size=\"13797376\"] \n  1 -> 6 [size =\"13797376\"]\n  2 [size=\"24565760\", alpha=\"0.15\", expect_size=\"12282880\"] \n  2 -> 5 [size =\"12282880\"]\n  3 [size=\"27293696\", alpha=\"0.02\", expect_size=\"13646848\"] \n  3 -> 4 [size =\"13646848\"]\n  4 [size=\"72370176\", alpha=\"0.01\", expect_size=\"36185088\"] \n  5 [size=\"43513856\", alpha=\"0.11\", expect_size=\"21756928\"] \n  5 -> 8 [size =\"21756928\"]\n  6 [size=\"80373760\", alpha=\"0.14\", expect_size=\"40186880\"] \n  6 -> 7 [size =\"40186880\"]\n  7 [size=\"35588096\", alpha=\"0.18\", expect_size=\"17794048\"] \n  7 -> 10 [size =\"17794048\"]\n  8 [size=\"69842944\", alpha=\"0.02\", expect_size=\"34921472\"] \n  8 -> 9 [size =\"34921472\"]\n  9 [size=\"69613568\", alpha=\"0.20\", expect_size=\"34806784\"] \n  10 [size=\"61263872\", alpha=\"0.13\", expect_size=\"30631936\"] \n  10 -> 11 [size =\"30631936\"]\n  10 -> 12 [size =\"30631936\"]\n  11 [size=\"22257664\", alpha=\"0.02\", expect_size=\"11128832\"] \n  11 -> 14 [size =\"11128832\"]\n  11 -> 15 [size =\"11128832\"]\n  12 [size=\"69072896\", alpha=\"0.09\", expect_size=\"34536448\"] \n  12 -> 13 [size =\"34536448\"]\n  13 [size=\"45142016\", alpha=\"0.06\", expect_size=\"22571008\"] \n  13 -> 16 [size =\"22571008\"]\n  14 [size=\"53587968\", alpha=\"0.05\", expect_size=\"26793984\"] \n  14 -> 16 [size =\"26793984\"]\n  14 -> 17 [size =\"26793984\"]\n  15 [size=\"56066048\", alpha=\"0.00\", expect_size=\"28033024\"] \n  15 -> 17 [size =\"28033024\"]\n  16 [size=\"14901248\", alpha=\"0.03\", expect_size=\"7450624\"] \n  17 [size=\"82280448\", alpha=\"0.08\", expect_size=\"41140224\"] \n  17 -> 18 [size =\"41140224\"]\n  17 -> 19 [size =\"41140224\"]\n  18 [size=\"71837696\", alpha=\"0.00\", expect_size=\"35918848\"] \n  18 -> 20 [size =\"35918848\"]\n  18 -> 21 [size =\"35918848\"]\n  19 [size=\"83206144\", alpha=\"0.07\", expect_size=\"41603072\"] \n  20 [size=\"82978816\", alpha=\"0.06\", expect_size=\"41489408\"] \n  20 -> 22 [size =\"41489408\"]\n  20 -> 23 [size =\"41489408\"]\n  21 [size=\"49895424\", alpha=\"0.08\", expect_size=\"24947712\"] \n  22 [size=\"60934144\", alpha=\"0.13\", expect_size=\"30467072\"] \n  22 -> 24 [size =\"30467072\"]\n  22 -> 25 [size =\"30467072\"]\n  23 [size=\"101533696\", alpha=\"0.01\", expect_size=\"50766848\"] \n  24 [size=\"36290560\", alpha=\"0.03\", expect_size=\"18145280\"] \n  24 -> 26 [size =\"18145280\"]\n  25 [size=\"59914240\", alpha=\"0.12\", expect_size=\"29957120\"] \n  25 -> 27 [size =\"29957120\"]\n  25 -> 28 [size =\"29957120\"]\n  26 [size=\"61968384\", alpha=\"0.15\", expect_size=\"30984192\"] \n  26 -> 29 [size =\"30984192\"]\n  27 [size=\"77838336\", alpha=\"0.04\", expect_size=\"38919168\"] \n  27 -> 29 [size =\"38919168\"]\n  27 -> 30 [size =\"38919168\"]\n  27 -> 31 [size =\"38919168\"]\n  28 [size=\"21280768\", alpha=\"0.05\", expect_size=\"10640384\"] \n  29 [size=\"23214080\", alpha=\"0.19\", expect_size=\"11607040\"] \n  29 -> 33 [size =\"11607040\"]\n  30 [size=\"58497024\", alpha=\"0.04\", expect_size=\"29248512\"] \n  30 -> 34 [size =\"29248512\"]\n  31 [size=\"86067200\", alpha=\"0.11\", expect_size=\"43033600\"] \n  31 -> 32 [size =\"43033600\"]\n  31 -> 34 [size =\"43033600\"]\n  32 [size=\"28661760\", alpha=\"0.11\", expect_size=\"14330880\"] \n  32 -> 36 [size =\"14330880\"]\n  32 -> 37 [size =\"14330880\"]\n  33 [size=\"89104384\", alpha=\"0.17\", expect_size=\"44552192\"] \n  33 -> 35 [size =\"44552192\"]\n  34 [size=\"95461376\", alpha=\"0.14\", expect_size=\"47730688\"] \n  34 -> 35 [size =\"47730688\"]\n  35 [size=\"15247360\", alpha=\"0.19\", expect_size=\"7623680\"] \n  35 -> 38 [size =\"7623680\"]\n  35 -> 39 [size =\"7623680\"]\n  35 -> 40 [size =\"7623680\"]\n  36 [size=\"70234112\", alpha=\"0.06\", expect_size=\"35117056\"] \n  37 [size=\"47194112\", alpha=\"0.08\", expect_size=\"23597056\"] \n  37 -> 38 [size =\"23597056\"]\n  37 -> 40 [size =\"23597056\"]\n  38 [size=\"65607680\", alpha=\"0.03\", expect_size=\"32803840\"] \n  38 -> 41 [size =\"32803840\"]\n  39 [size=\"90458112\", alpha=\"0.13\", expect_size=\"45229056\"] \n  39 -> 42 [size =\"45229056\"]\n  40 [size=\"86505472\", alpha=\"0.18\", expect_size=\"43252736\"] \n  40 -> 43 [size =\"43252736\"]\n  41 [size=\"104527872\", alpha=\"0.12\", expect_size=\"52263936\"] \n  42 [size=\"61925376\", alpha=\"0.17\", expect_size=\"30962688\"] \n  42 -> 44 [size =\"30962688\"]\n  42 -> 45 [size =\"30962688\"]\n  43 [size=\"17287168\", alpha=\"0.01\", expect_size=\"8643584\"] \n  43 -> 45 [size =\"8643584\"]\n  44 [size=\"99641344\", alpha=\"0.11\", expect_size=\"49820672\"] \n  45 [size=\"68978688\", alpha=\"0.11\", expect_size=\"34489344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149678080\", alpha=\"0.09\", expect_size=\"44903424\"] \n  1 -> 5 [size =\"44903424\"]\n  2 [size=\"174407680\", alpha=\"0.03\", expect_size=\"52322304\"] \n  2 -> 3 [size =\"52322304\"]\n  2 -> 4 [size =\"52322304\"]\n  3 [size=\"26446507\", alpha=\"0.18\", expect_size=\"7933952\"] \n  3 -> 6 [size =\"7933952\"]\n  3 -> 7 [size =\"7933952\"]\n  4 [size=\"20944213\", alpha=\"0.00\", expect_size=\"6283264\"] \n  4 -> 7 [size =\"6283264\"]\n  5 [size=\"56808107\", alpha=\"0.01\", expect_size=\"17042432\"] \n  6 [size=\"105018027\", alpha=\"0.07\", expect_size=\"31505408\"] \n  6 -> 8 [size =\"31505408\"]\n  6 -> 9 [size =\"31505408\"]\n  7 [size=\"135191893\", alpha=\"0.07\", expect_size=\"40557568\"] \n  7 -> 8 [size =\"40557568\"]\n  7 -> 9 [size =\"40557568\"]\n  8 [size=\"99474773\", alpha=\"0.05\", expect_size=\"29842432\"] \n  8 -> 10 [size =\"29842432\"]\n  9 [size=\"104359253\", alpha=\"0.07\", expect_size=\"31307776\"] \n  9 -> 10 [size =\"31307776\"]\n  9 -> 11 [size =\"31307776\"]\n  10 [size=\"71048533\", alpha=\"0.09\", expect_size=\"21314560\"] \n  10 -> 12 [size =\"21314560\"]\n  10 -> 13 [size =\"21314560\"]\n  11 [size=\"83855360\", alpha=\"0.05\", expect_size=\"25156608\"] \n  11 -> 12 [size =\"25156608\"]\n  11 -> 13 [size =\"25156608\"]\n  12 [size=\"156890453\", alpha=\"0.15\", expect_size=\"47067136\"] \n  12 -> 14 [size =\"47067136\"]\n  12 -> 15 [size =\"47067136\"]\n  13 [size=\"26279253\", alpha=\"0.11\", expect_size=\"7883776\"] \n  13 -> 15 [size =\"7883776\"]\n  14 [size=\"166536533\", alpha=\"0.02\", expect_size=\"49960960\"] \n  14 -> 16 [size =\"49960960\"]\n  14 -> 18 [size =\"49960960\"]\n  15 [size=\"170369707\", alpha=\"0.04\", expect_size=\"51110912\"] \n  15 -> 16 [size =\"51110912\"]\n  15 -> 17 [size =\"51110912\"]\n  15 -> 18 [size =\"51110912\"]\n  16 [size=\"18186240\", alpha=\"0.08\", expect_size=\"5455872\"] \n  17 [size=\"70184960\", alpha=\"0.04\", expect_size=\"21055488\"] \n  17 -> 19 [size =\"21055488\"]\n  17 -> 20 [size =\"21055488\"]\n  18 [size=\"124897280\", alpha=\"0.16\", expect_size=\"37469184\"] \n  18 -> 19 [size =\"37469184\"]\n  18 -> 20 [size =\"37469184\"]\n  19 [size=\"166359040\", alpha=\"0.16\", expect_size=\"49907712\"] \n  19 -> 21 [size =\"49907712\"]\n  20 [size=\"60712960\", alpha=\"0.15\", expect_size=\"18213888\"] \n  20 -> 22 [size =\"18213888\"]\n  20 -> 23 [size =\"18213888\"]\n  21 [size=\"128488107\", alpha=\"0.12\", expect_size=\"38546432\"] \n  21 -> 26 [size =\"38546432\"]\n  22 [size=\"167485440\", alpha=\"0.08\", expect_size=\"50245632\"] \n  22 -> 25 [size =\"50245632\"]\n  22 -> 26 [size =\"50245632\"]\n  23 [size=\"128000000\", alpha=\"0.05\", expect_size=\"38400000\"] \n  23 -> 24 [size =\"38400000\"]\n  23 -> 26 [size =\"38400000\"]\n  24 [size=\"59398827\", alpha=\"0.03\", expect_size=\"17819648\"] \n  24 -> 27 [size =\"17819648\"]\n  24 -> 28 [size =\"17819648\"]\n  25 [size=\"76598613\", alpha=\"0.05\", expect_size=\"22979584\"] \n  25 -> 27 [size =\"22979584\"]\n  25 -> 28 [size =\"22979584\"]\n  25 -> 29 [size =\"22979584\"]\n  26 [size=\"111162027\", alpha=\"0.19\", expect_size=\"33348608\"] \n  26 -> 29 [size =\"33348608\"]\n  27 [size=\"171806720\", alpha=\"0.08\", expect_size=\"51542016\"] \n  27 -> 31 [size =\"51542016\"]\n  28 [size=\"45571413\", alpha=\"0.07\", expect_size=\"13671424\"] \n  29 [size=\"17544533\", alpha=\"0.17\", expect_size=\"5263360\"] \n  29 -> 30 [size =\"5263360\"]\n  30 [size=\"144469333\", alpha=\"0.14\", expect_size=\"43340800\"] \n  30 -> 33 [size =\"43340800\"]\n  31 [size=\"108673707\", alpha=\"0.20\", expect_size=\"32602112\"] \n  31 -> 32 [size =\"32602112\"]\n  31 -> 33 [size =\"32602112\"]\n  32 [size=\"42356053\", alpha=\"0.03\", expect_size=\"12706816\"] \n  32 -> 34 [size =\"12706816\"]\n  33 [size=\"102454613\", alpha=\"0.07\", expect_size=\"30736384\"] \n  33 -> 34 [size =\"30736384\"]\n  33 -> 35 [size =\"30736384\"]\n  34 [size=\"140653227\", alpha=\"0.11\", expect_size=\"42195968\"] \n  34 -> 37 [size =\"42195968\"]\n  35 [size=\"160423253\", alpha=\"0.13\", expect_size=\"48126976\"] \n  35 -> 36 [size =\"48126976\"]\n  35 -> 37 [size =\"48126976\"]\n  35 -> 38 [size =\"48126976\"]\n  36 [size=\"43803307\", alpha=\"0.16\", expect_size=\"13140992\"] \n  36 -> 41 [size =\"13140992\"]\n  37 [size=\"35631787\", alpha=\"0.06\", expect_size=\"10689536\"] \n  37 -> 40 [size =\"10689536\"]\n  37 -> 41 [size =\"10689536\"]\n  38 [size=\"96334507\", alpha=\"0.09\", expect_size=\"28900352\"] \n  38 -> 39 [size =\"28900352\"]\n  38 -> 40 [size =\"28900352\"]\n  39 [size=\"150626987\", alpha=\"0.11\", expect_size=\"45188096\"] \n  40 [size=\"128105813\", alpha=\"0.18\", expect_size=\"38431744\"] \n  40 -> 42 [size =\"38431744\"]\n  41 [size=\"82343253\", alpha=\"0.00\", expect_size=\"24702976\"] \n  41 -> 42 [size =\"24702976\"]\n  41 -> 43 [size =\"24702976\"]\n  42 [size=\"79725227\", alpha=\"0.01\", expect_size=\"23917568\"] \n  42 -> 44 [size =\"23917568\"]\n  42 -> 45 [size =\"23917568\"]\n  43 [size=\"102376107\", alpha=\"0.16\", expect_size=\"30712832\"] \n  43 -> 45 [size =\"30712832\"]\n  44 [size=\"159102293\", alpha=\"0.16\", expect_size=\"47730688\"] \n  45 [size=\"84398080\", alpha=\"0.04\", expect_size=\"25319424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62845440\", alpha=\"0.18\", expect_size=\"25138176\"] \n  1 -> 18 [size =\"25138176\"]\n  1 -> 19 [size =\"25138176\"]\n  1 -> 22 [size =\"25138176\"]\n  1 -> 26 [size =\"25138176\"]\n  1 -> 28 [size =\"25138176\"]\n  1 -> 30 [size =\"25138176\"]\n  2 [size=\"99696640\", alpha=\"0.19\", expect_size=\"39878656\"] \n  2 -> 19 [size =\"39878656\"]\n  2 -> 19 [size =\"39878656\"]\n  2 -> 23 [size =\"39878656\"]\n  2 -> 27 [size =\"39878656\"]\n  2 -> 28 [size =\"39878656\"]\n  2 -> 30 [size =\"39878656\"]\n  3 [size=\"110912000\", alpha=\"0.07\", expect_size=\"44364800\"] \n  3 -> 20 [size =\"44364800\"]\n  3 -> 22 [size =\"44364800\"]\n  3 -> 25 [size =\"44364800\"]\n  3 -> 28 [size =\"44364800\"]\n  3 -> 29 [size =\"44364800\"]\n  4 [size=\"67571200\", alpha=\"0.14\", expect_size=\"27028480\"] \n  4 -> 20 [size =\"27028480\"]\n  4 -> 22 [size =\"27028480\"]\n  4 -> 27 [size =\"27028480\"]\n  4 -> 28 [size =\"27028480\"]\n  5 [size=\"53278720\", alpha=\"0.09\", expect_size=\"21311488\"] \n  5 -> 18 [size =\"21311488\"]\n  5 -> 19 [size =\"21311488\"]\n  5 -> 20 [size =\"21311488\"]\n  5 -> 22 [size =\"21311488\"]\n  5 -> 23 [size =\"21311488\"]\n  5 -> 25 [size =\"21311488\"]\n  5 -> 28 [size =\"21311488\"]\n  5 -> 29 [size =\"21311488\"]\n  5 -> 30 [size =\"21311488\"]\n  6 [size=\"32094720\", alpha=\"0.11\", expect_size=\"12837888\"] \n  6 -> 18 [size =\"12837888\"]\n  6 -> 19 [size =\"12837888\"]\n  6 -> 20 [size =\"12837888\"]\n  6 -> 21 [size =\"12837888\"]\n  6 -> 22 [size =\"12837888\"]\n  6 -> 23 [size =\"12837888\"]\n  6 -> 24 [size =\"12837888\"]\n  6 -> 26 [size =\"12837888\"]\n  6 -> 27 [size =\"12837888\"]\n  6 -> 29 [size =\"12837888\"]\n  7 [size=\"119247360\", alpha=\"0.03\", expect_size=\"47698944\"] \n  7 -> 19 [size =\"47698944\"]\n  7 -> 20 [size =\"47698944\"]\n  7 -> 20 [size =\"47698944\"]\n  7 -> 21 [size =\"47698944\"]\n  7 -> 22 [size =\"47698944\"]\n  7 -> 23 [size =\"47698944\"]\n  7 -> 24 [size =\"47698944\"]\n  7 -> 27 [size =\"47698944\"]\n  7 -> 28 [size =\"47698944\"]\n  7 -> 29 [size =\"47698944\"]\n  7 -> 30 [size =\"47698944\"]\n  8 [size=\"14476800\", alpha=\"0.06\", expect_size=\"5790720\"] \n  8 -> 18 [size =\"5790720\"]\n  8 -> 19 [size =\"5790720\"]\n  8 -> 20 [size =\"5790720\"]\n  8 -> 22 [size =\"5790720\"]\n  8 -> 22 [size =\"5790720\"]\n  8 -> 23 [size =\"5790720\"]\n  8 -> 24 [size =\"5790720\"]\n  8 -> 27 [size =\"5790720\"]\n  8 -> 28 [size =\"5790720\"]\n  8 -> 29 [size =\"5790720\"]\n  9 [size=\"37004800\", alpha=\"0.05\", expect_size=\"14801920\"] \n  9 -> 20 [size =\"14801920\"]\n  9 -> 23 [size =\"14801920\"]\n  9 -> 26 [size =\"14801920\"]\n  9 -> 27 [size =\"14801920\"]\n  9 -> 28 [size =\"14801920\"]\n  9 -> 29 [size =\"14801920\"]\n  9 -> 30 [size =\"14801920\"]\n  10 [size=\"30412800\", alpha=\"0.17\", expect_size=\"12165120\"] \n  10 -> 18 [size =\"12165120\"]\n  10 -> 20 [size =\"12165120\"]\n  10 -> 22 [size =\"12165120\"]\n  10 -> 26 [size =\"12165120\"]\n  10 -> 27 [size =\"12165120\"]\n  10 -> 28 [size =\"12165120\"]\n  10 -> 29 [size =\"12165120\"]\n  10 -> 30 [size =\"12165120\"]\n  11 [size=\"24038400\", alpha=\"0.02\", expect_size=\"9615360\"] \n  11 -> 19 [size =\"9615360\"]\n  11 -> 21 [size =\"9615360\"]\n  11 -> 22 [size =\"9615360\"]\n  11 -> 25 [size =\"9615360\"]\n  11 -> 26 [size =\"9615360\"]\n  11 -> 27 [size =\"9615360\"]\n  11 -> 28 [size =\"9615360\"]\n  11 -> 29 [size =\"9615360\"]\n  11 -> 30 [size =\"9615360\"]\n  12 [size=\"13767680\", alpha=\"0.15\", expect_size=\"5507072\"] \n  12 -> 21 [size =\"5507072\"]\n  12 -> 23 [size =\"5507072\"]\n  12 -> 25 [size =\"5507072\"]\n  12 -> 25 [size =\"5507072\"]\n  12 -> 26 [size =\"5507072\"]\n  12 -> 27 [size =\"5507072\"]\n  12 -> 28 [size =\"5507072\"]\n  12 -> 29 [size =\"5507072\"]\n  13 [size=\"124784640\", alpha=\"0.09\", expect_size=\"49913856\"] \n  13 -> 23 [size =\"49913856\"]\n  13 -> 23 [size =\"49913856\"]\n  13 -> 26 [size =\"49913856\"]\n  13 -> 28 [size =\"49913856\"]\n  13 -> 29 [size =\"49913856\"]\n  14 [size=\"46010880\", alpha=\"0.10\", expect_size=\"18404352\"] \n  14 -> 18 [size =\"18404352\"]\n  14 -> 19 [size =\"18404352\"]\n  14 -> 22 [size =\"18404352\"]\n  14 -> 26 [size =\"18404352\"]\n  14 -> 28 [size =\"18404352\"]\n  14 -> 29 [size =\"18404352\"]\n  15 [size=\"129254400\", alpha=\"0.13\", expect_size=\"51701760\"] \n  15 -> 19 [size =\"51701760\"]\n  15 -> 20 [size =\"51701760\"]\n  15 -> 21 [size =\"51701760\"]\n  15 -> 22 [size =\"51701760\"]\n  15 -> 23 [size =\"51701760\"]\n  15 -> 26 [size =\"51701760\"]\n  15 -> 28 [size =\"51701760\"]\n  15 -> 29 [size =\"51701760\"]\n  16 [size=\"66219520\", alpha=\"0.02\", expect_size=\"26487808\"] \n  16 -> 18 [size =\"26487808\"]\n  16 -> 20 [size =\"26487808\"]\n  16 -> 22 [size =\"26487808\"]\n  16 -> 22 [size =\"26487808\"]\n  16 -> 26 [size =\"26487808\"]\n  16 -> 28 [size =\"26487808\"]\n  16 -> 29 [size =\"26487808\"]\n  16 -> 30 [size =\"26487808\"]\n  17 [size=\"15500800\", alpha=\"0.17\", expect_size=\"6200320\"] \n  17 -> 19 [size =\"6200320\"]\n  17 -> 21 [size =\"6200320\"]\n  17 -> 22 [size =\"6200320\"]\n  17 -> 23 [size =\"6200320\"]\n  17 -> 26 [size =\"6200320\"]\n  17 -> 27 [size =\"6200320\"]\n  17 -> 28 [size =\"6200320\"]\n  18 [size=\"30279680\", alpha=\"0.11\", expect_size=\"12111872\"] \n  18 -> 34 [size =\"12111872\"]\n  18 -> 36 [size =\"12111872\"]\n  18 -> 37 [size =\"12111872\"]\n  18 -> 40 [size =\"12111872\"]\n  19 [size=\"63106560\", alpha=\"0.04\", expect_size=\"25242624\"] \n  19 -> 33 [size =\"25242624\"]\n  19 -> 35 [size =\"25242624\"]\n  19 -> 36 [size =\"25242624\"]\n  19 -> 40 [size =\"25242624\"]\n  19 -> 41 [size =\"25242624\"]\n  19 -> 43 [size =\"25242624\"]\n  20 [size=\"92684800\", alpha=\"0.05\", expect_size=\"37073920\"] \n  20 -> 34 [size =\"37073920\"]\n  20 -> 35 [size =\"37073920\"]\n  20 -> 37 [size =\"37073920\"]\n  20 -> 40 [size =\"37073920\"]\n  20 -> 41 [size =\"37073920\"]\n  20 -> 42 [size =\"37073920\"]\n  21 [size=\"76459520\", alpha=\"0.15\", expect_size=\"30583808\"] \n  21 -> 35 [size =\"30583808\"]\n  21 -> 35 [size =\"30583808\"]\n  21 -> 40 [size =\"30583808\"]\n  21 -> 40 [size =\"30583808\"]\n  21 -> 41 [size =\"30583808\"]\n  21 -> 43 [size =\"30583808\"]\n  21 -> 44 [size =\"30583808\"]\n  22 [size=\"88289280\", alpha=\"0.19\", expect_size=\"35315712\"] \n  22 -> 34 [size =\"35315712\"]\n  23 [size=\"55971840\", alpha=\"0.20\", expect_size=\"22388736\"] \n  23 -> 41 [size =\"22388736\"]\n  23 -> 43 [size =\"22388736\"]\n  24 [size=\"110545920\", alpha=\"0.10\", expect_size=\"44218368\"] \n  24 -> 31 [size =\"44218368\"]\n  24 -> 32 [size =\"44218368\"]\n  24 -> 34 [size =\"44218368\"]\n  24 -> 35 [size =\"44218368\"]\n  25 [size=\"52377600\", alpha=\"0.07\", expect_size=\"20951040\"] \n  25 -> 31 [size =\"20951040\"]\n  25 -> 32 [size =\"20951040\"]\n  25 -> 35 [size =\"20951040\"]\n  25 -> 37 [size =\"20951040\"]\n  25 -> 43 [size =\"20951040\"]\n  25 -> 44 [size =\"20951040\"]\n  26 [size=\"127124480\", alpha=\"0.07\", expect_size=\"50849792\"] \n  26 -> 31 [size =\"50849792\"]\n  26 -> 35 [size =\"50849792\"]\n  26 -> 36 [size =\"50849792\"]\n  26 -> 37 [size =\"50849792\"]\n  26 -> 38 [size =\"50849792\"]\n  26 -> 44 [size =\"50849792\"]\n  27 [size=\"19788800\", alpha=\"0.05\", expect_size=\"7915520\"] \n  27 -> 32 [size =\"7915520\"]\n  27 -> 33 [size =\"7915520\"]\n  27 -> 34 [size =\"7915520\"]\n  27 -> 35 [size =\"7915520\"]\n  27 -> 36 [size =\"7915520\"]\n  27 -> 37 [size =\"7915520\"]\n  27 -> 41 [size =\"7915520\"]\n  27 -> 44 [size =\"7915520\"]\n  28 [size=\"117360640\", alpha=\"0.03\", expect_size=\"46944256\"] \n  28 -> 31 [size =\"46944256\"]\n  28 -> 34 [size =\"46944256\"]\n  28 -> 35 [size =\"46944256\"]\n  28 -> 37 [size =\"46944256\"]\n  28 -> 39 [size =\"46944256\"]\n  28 -> 40 [size =\"46944256\"]\n  28 -> 41 [size =\"46944256\"]\n  28 -> 44 [size =\"46944256\"]\n  29 [size=\"64747520\", alpha=\"0.05\", expect_size=\"25899008\"] \n  29 -> 31 [size =\"25899008\"]\n  29 -> 34 [size =\"25899008\"]\n  29 -> 35 [size =\"25899008\"]\n  29 -> 36 [size =\"25899008\"]\n  29 -> 40 [size =\"25899008\"]\n  29 -> 40 [size =\"25899008\"]\n  29 -> 41 [size =\"25899008\"]\n  30 [size=\"90501120\", alpha=\"0.11\", expect_size=\"36200448\"] \n  30 -> 35 [size =\"36200448\"]\n  30 -> 40 [size =\"36200448\"]\n  30 -> 41 [size =\"36200448\"]\n  30 -> 44 [size =\"36200448\"]\n  31 [size=\"122595840\", alpha=\"0.18\", expect_size=\"49038336\"] \n  31 -> 45 [size =\"49038336\"]\n  32 [size=\"92805120\", alpha=\"0.05\", expect_size=\"37122048\"] \n  32 -> 45 [size =\"37122048\"]\n  33 [size=\"87720960\", alpha=\"0.11\", expect_size=\"35088384\"] \n  34 [size=\"87183360\", alpha=\"0.03\", expect_size=\"34873344\"] \n  35 [size=\"27694080\", alpha=\"0.14\", expect_size=\"11077632\"] \n  35 -> 45 [size =\"11077632\"]\n  36 [size=\"67389440\", alpha=\"0.15\", expect_size=\"26955776\"] \n  36 -> 45 [size =\"26955776\"]\n  37 [size=\"107294720\", alpha=\"0.15\", expect_size=\"42917888\"] \n  38 [size=\"17620480\", alpha=\"0.19\", expect_size=\"7048192\"] \n  39 [size=\"35671040\", alpha=\"0.11\", expect_size=\"14268416\"] \n  39 -> 45 [size =\"14268416\"]\n  40 [size=\"67374080\", alpha=\"0.17\", expect_size=\"26949632\"] \n  41 [size=\"130040320\", alpha=\"0.14\", expect_size=\"52016128\"] \n  42 [size=\"116638720\", alpha=\"0.03\", expect_size=\"46655488\"] \n  43 [size=\"27827200\", alpha=\"0.19\", expect_size=\"11130880\"] \n  44 [size=\"93253120\", alpha=\"0.12\", expect_size=\"37301248\"] \n  45 [size=\"109890560\", alpha=\"0.12\", expect_size=\"43956224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41652907\", alpha=\"0.10\", expect_size=\"12495872\"] \n  2 [size=\"33112747\", alpha=\"0.06\", expect_size=\"9933824\"] \n  2 -> 5 [size =\"9933824\"]\n  3 [size=\"171182080\", alpha=\"0.09\", expect_size=\"51354624\"] \n  3 -> 4 [size =\"51354624\"]\n  3 -> 6 [size =\"51354624\"]\n  4 [size=\"118794240\", alpha=\"0.18\", expect_size=\"35638272\"] \n  4 -> 8 [size =\"35638272\"]\n  4 -> 9 [size =\"35638272\"]\n  5 [size=\"141656747\", alpha=\"0.11\", expect_size=\"42497024\"] \n  6 [size=\"96877227\", alpha=\"0.03\", expect_size=\"29063168\"] \n  6 -> 7 [size =\"29063168\"]\n  7 [size=\"63761067\", alpha=\"0.15\", expect_size=\"19128320\"] \n  7 -> 11 [size =\"19128320\"]\n  7 -> 12 [size =\"19128320\"]\n  8 [size=\"36051627\", alpha=\"0.18\", expect_size=\"10815488\"] \n  8 -> 10 [size =\"10815488\"]\n  8 -> 12 [size =\"10815488\"]\n  9 [size=\"90757120\", alpha=\"0.10\", expect_size=\"27227136\"] \n  9 -> 10 [size =\"27227136\"]\n  10 [size=\"22343680\", alpha=\"0.03\", expect_size=\"6703104\"] \n  11 [size=\"133007360\", alpha=\"0.20\", expect_size=\"39902208\"] \n  11 -> 13 [size =\"39902208\"]\n  11 -> 14 [size =\"39902208\"]\n  11 -> 15 [size =\"39902208\"]\n  12 [size=\"51927040\", alpha=\"0.03\", expect_size=\"15578112\"] \n  12 -> 14 [size =\"15578112\"]\n  13 [size=\"99945813\", alpha=\"0.05\", expect_size=\"29983744\"] \n  13 -> 16 [size =\"29983744\"]\n  14 [size=\"173892267\", alpha=\"0.18\", expect_size=\"52167680\"] \n  14 -> 18 [size =\"52167680\"]\n  15 [size=\"156204373\", alpha=\"0.08\", expect_size=\"46861312\"] \n  15 -> 17 [size =\"46861312\"]\n  16 [size=\"85162667\", alpha=\"0.12\", expect_size=\"25548800\"] \n  16 -> 20 [size =\"25548800\"]\n  16 -> 21 [size =\"25548800\"]\n  17 [size=\"106291200\", alpha=\"0.09\", expect_size=\"31887360\"] \n  17 -> 19 [size =\"31887360\"]\n  17 -> 21 [size =\"31887360\"]\n  18 [size=\"69966507\", alpha=\"0.02\", expect_size=\"20989952\"] \n  18 -> 19 [size =\"20989952\"]\n  18 -> 20 [size =\"20989952\"]\n  19 [size=\"50954240\", alpha=\"0.15\", expect_size=\"15286272\"] \n  19 -> 22 [size =\"15286272\"]\n  20 [size=\"131717120\", alpha=\"0.09\", expect_size=\"39515136\"] \n  20 -> 23 [size =\"39515136\"]\n  20 -> 24 [size =\"39515136\"]\n  21 [size=\"153378133\", alpha=\"0.06\", expect_size=\"46013440\"] \n  22 [size=\"151637333\", alpha=\"0.05\", expect_size=\"45491200\"] \n  22 -> 27 [size =\"45491200\"]\n  23 [size=\"20520960\", alpha=\"0.03\", expect_size=\"6156288\"] \n  23 -> 26 [size =\"6156288\"]\n  24 [size=\"59760640\", alpha=\"0.15\", expect_size=\"17928192\"] \n  24 -> 25 [size =\"17928192\"]\n  25 [size=\"46701227\", alpha=\"0.02\", expect_size=\"14010368\"] \n  25 -> 29 [size =\"14010368\"]\n  26 [size=\"109206187\", alpha=\"0.19\", expect_size=\"32761856\"] \n  26 -> 28 [size =\"32761856\"]\n  27 [size=\"45370027\", alpha=\"0.03\", expect_size=\"13611008\"] \n  27 -> 29 [size =\"13611008\"]\n  28 [size=\"119210667\", alpha=\"0.08\", expect_size=\"35763200\"] \n  29 [size=\"131880960\", alpha=\"0.03\", expect_size=\"39564288\"] \n  29 -> 30 [size =\"39564288\"]\n  29 -> 31 [size =\"39564288\"]\n  30 [size=\"92682240\", alpha=\"0.19\", expect_size=\"27804672\"] \n  30 -> 33 [size =\"27804672\"]\n  31 [size=\"163013973\", alpha=\"0.09\", expect_size=\"48904192\"] \n  31 -> 32 [size =\"48904192\"]\n  32 [size=\"52480000\", alpha=\"0.03\", expect_size=\"15744000\"] \n  32 -> 34 [size =\"15744000\"]\n  32 -> 35 [size =\"15744000\"]\n  33 [size=\"91286187\", alpha=\"0.08\", expect_size=\"27385856\"] \n  33 -> 36 [size =\"27385856\"]\n  34 [size=\"118572373\", alpha=\"0.13\", expect_size=\"35571712\"] \n  34 -> 39 [size =\"35571712\"]\n  35 [size=\"78366720\", alpha=\"0.16\", expect_size=\"23510016\"] \n  35 -> 38 [size =\"23510016\"]\n  35 -> 39 [size =\"23510016\"]\n  36 [size=\"94853120\", alpha=\"0.07\", expect_size=\"28455936\"] \n  36 -> 37 [size =\"28455936\"]\n  36 -> 38 [size =\"28455936\"]\n  37 [size=\"90149547\", alpha=\"0.09\", expect_size=\"27044864\"] \n  37 -> 40 [size =\"27044864\"]\n  38 [size=\"110544213\", alpha=\"0.19\", expect_size=\"33163264\"] \n  39 [size=\"174609067\", alpha=\"0.12\", expect_size=\"52382720\"] \n  39 -> 40 [size =\"52382720\"]\n  39 -> 41 [size =\"52382720\"]\n  40 [size=\"41062400\", alpha=\"0.20\", expect_size=\"12318720\"] \n  40 -> 42 [size =\"12318720\"]\n  40 -> 43 [size =\"12318720\"]\n  41 [size=\"29341013\", alpha=\"0.05\", expect_size=\"8802304\"] \n  41 -> 44 [size =\"8802304\"]\n  42 [size=\"97693013\", alpha=\"0.07\", expect_size=\"29307904\"] \n  43 [size=\"123282773\", alpha=\"0.10\", expect_size=\"36984832\"] \n  43 -> 45 [size =\"36984832\"]\n  44 [size=\"31296853\", alpha=\"0.18\", expect_size=\"9389056\"] \n  45 [size=\"135434240\", alpha=\"0.10\", expect_size=\"40630272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62958080\", alpha=\"0.14\", expect_size=\"25183232\"] \n  1 -> 2 [size =\"25183232\"]\n  2 [size=\"26319360\", alpha=\"0.10\", expect_size=\"10527744\"] \n  2 -> 3 [size =\"10527744\"]\n  3 [size=\"56156160\", alpha=\"0.04\", expect_size=\"22462464\"] \n  3 -> 4 [size =\"22462464\"]\n  4 [size=\"83320320\", alpha=\"0.13\", expect_size=\"33328128\"] \n  4 -> 5 [size =\"33328128\"]\n  5 [size=\"92385280\", alpha=\"0.15\", expect_size=\"36954112\"] \n  5 -> 6 [size =\"36954112\"]\n  6 [size=\"84500480\", alpha=\"0.04\", expect_size=\"33800192\"] \n  6 -> 7 [size =\"33800192\"]\n  7 [size=\"22914560\", alpha=\"0.08\", expect_size=\"9165824\"] \n  7 -> 8 [size =\"9165824\"]\n  8 [size=\"39344640\", alpha=\"0.09\", expect_size=\"15737856\"] \n  8 -> 9 [size =\"15737856\"]\n  9 [size=\"46151680\", alpha=\"0.06\", expect_size=\"18460672\"] \n  9 -> 10 [size =\"18460672\"]\n  10 [size=\"96839680\", alpha=\"0.11\", expect_size=\"38735872\"] \n  10 -> 11 [size =\"38735872\"]\n  11 [size=\"50173440\", alpha=\"0.07\", expect_size=\"20069376\"] \n  11 -> 12 [size =\"20069376\"]\n  12 [size=\"130181120\", alpha=\"0.19\", expect_size=\"52072448\"] \n  12 -> 13 [size =\"52072448\"]\n  13 [size=\"70558720\", alpha=\"0.16\", expect_size=\"28223488\"] \n  13 -> 14 [size =\"28223488\"]\n  14 [size=\"95910400\", alpha=\"0.04\", expect_size=\"38364160\"] \n  14 -> 15 [size =\"38364160\"]\n  15 [size=\"55139840\", alpha=\"0.13\", expect_size=\"22055936\"] \n  15 -> 16 [size =\"22055936\"]\n  16 [size=\"24389120\", alpha=\"0.07\", expect_size=\"9755648\"] \n  16 -> 17 [size =\"9755648\"]\n  17 [size=\"48386560\", alpha=\"0.12\", expect_size=\"19354624\"] \n  17 -> 18 [size =\"19354624\"]\n  18 [size=\"95068160\", alpha=\"0.20\", expect_size=\"38027264\"] \n  18 -> 19 [size =\"38027264\"]\n  19 [size=\"29829120\", alpha=\"0.19\", expect_size=\"11931648\"] \n  19 -> 20 [size =\"11931648\"]\n  20 [size=\"62881280\", alpha=\"0.05\", expect_size=\"25152512\"] \n  20 -> 21 [size =\"25152512\"]\n  21 [size=\"128163840\", alpha=\"0.00\", expect_size=\"51265536\"] \n  21 -> 22 [size =\"51265536\"]\n  22 [size=\"54284800\", alpha=\"0.18\", expect_size=\"21713920\"] \n  22 -> 23 [size =\"21713920\"]\n  23 [size=\"46740480\", alpha=\"0.02\", expect_size=\"18696192\"] \n  23 -> 24 [size =\"18696192\"]\n  24 [size=\"21931520\", alpha=\"0.19\", expect_size=\"8772608\"] \n  24 -> 25 [size =\"8772608\"]\n  25 [size=\"44600320\", alpha=\"0.09\", expect_size=\"17840128\"] \n  25 -> 26 [size =\"17840128\"]\n  26 [size=\"122600960\", alpha=\"0.11\", expect_size=\"49040384\"] \n  26 -> 27 [size =\"49040384\"]\n  27 [size=\"46248960\", alpha=\"0.15\", expect_size=\"18499584\"] \n  27 -> 28 [size =\"18499584\"]\n  28 [size=\"115924480\", alpha=\"0.03\", expect_size=\"46369792\"] \n  28 -> 29 [size =\"46369792\"]\n  29 [size=\"115701760\", alpha=\"0.17\", expect_size=\"46280704\"] \n  29 -> 30 [size =\"46280704\"]\n  30 [size=\"106915840\", alpha=\"0.05\", expect_size=\"42766336\"] \n  30 -> 31 [size =\"42766336\"]\n  31 [size=\"19676160\", alpha=\"0.20\", expect_size=\"7870464\"] \n  31 -> 32 [size =\"7870464\"]\n  32 [size=\"21798400\", alpha=\"0.14\", expect_size=\"8719360\"] \n  32 -> 33 [size =\"8719360\"]\n  33 [size=\"126499840\", alpha=\"0.18\", expect_size=\"50599936\"] \n  33 -> 34 [size =\"50599936\"]\n  34 [size=\"22935040\", alpha=\"0.16\", expect_size=\"9174016\"] \n  34 -> 35 [size =\"9174016\"]\n  35 [size=\"17246720\", alpha=\"0.01\", expect_size=\"6898688\"] \n  35 -> 36 [size =\"6898688\"]\n  36 [size=\"70750720\", alpha=\"0.08\", expect_size=\"28300288\"] \n  36 -> 37 [size =\"28300288\"]\n  37 [size=\"18910720\", alpha=\"0.01\", expect_size=\"7564288\"] \n  37 -> 38 [size =\"7564288\"]\n  38 [size=\"107468800\", alpha=\"0.08\", expect_size=\"42987520\"] \n  38 -> 39 [size =\"42987520\"]\n  39 [size=\"126727680\", alpha=\"0.17\", expect_size=\"50691072\"] \n  39 -> 40 [size =\"50691072\"]\n  40 [size=\"109739520\", alpha=\"0.15\", expect_size=\"43895808\"] \n  40 -> 41 [size =\"43895808\"]\n  41 [size=\"22272000\", alpha=\"0.13\", expect_size=\"8908800\"] \n  41 -> 42 [size =\"8908800\"]\n  42 [size=\"19353600\", alpha=\"0.18\", expect_size=\"7741440\"] \n  42 -> 43 [size =\"7741440\"]\n  43 [size=\"100098560\", alpha=\"0.08\", expect_size=\"40039424\"] \n  43 -> 44 [size =\"40039424\"]\n  44 [size=\"86028800\", alpha=\"0.20\", expect_size=\"34411520\"] \n  44 -> 45 [size =\"34411520\"]\n  45 [size=\"59950080\", alpha=\"0.17\", expect_size=\"23980032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101668864\", alpha=\"0.08\", expect_size=\"50834432\"] \n  1 -> 8 [size =\"50834432\"]\n  1 -> 10 [size =\"50834432\"]\n  2 [size=\"30980096\", alpha=\"0.06\", expect_size=\"15490048\"] \n  3 [size=\"58163200\", alpha=\"0.19\", expect_size=\"29081600\"] \n  3 -> 7 [size =\"29081600\"]\n  3 -> 10 [size =\"29081600\"]\n  4 [size=\"79024128\", alpha=\"0.13\", expect_size=\"39512064\"] \n  4 -> 7 [size =\"39512064\"]\n  4 -> 8 [size =\"39512064\"]\n  4 -> 9 [size =\"39512064\"]\n  4 -> 10 [size =\"39512064\"]\n  4 -> 11 [size =\"39512064\"]\n  5 [size=\"96145408\", alpha=\"0.13\", expect_size=\"48072704\"] \n  6 [size=\"103399424\", alpha=\"0.08\", expect_size=\"51699712\"] \n  6 -> 11 [size =\"51699712\"]\n  7 [size=\"58699776\", alpha=\"0.16\", expect_size=\"29349888\"] \n  7 -> 12 [size =\"29349888\"]\n  7 -> 14 [size =\"29349888\"]\n  7 -> 15 [size =\"29349888\"]\n  8 [size=\"17872896\", alpha=\"0.08\", expect_size=\"8936448\"] \n  8 -> 13 [size =\"8936448\"]\n  8 -> 17 [size =\"8936448\"]\n  9 [size=\"53209088\", alpha=\"0.05\", expect_size=\"26604544\"] \n  9 -> 12 [size =\"26604544\"]\n  9 -> 13 [size =\"26604544\"]\n  9 -> 16 [size =\"26604544\"]\n  10 [size=\"103575552\", alpha=\"0.07\", expect_size=\"51787776\"] \n  10 -> 15 [size =\"51787776\"]\n  11 [size=\"57671680\", alpha=\"0.16\", expect_size=\"28835840\"] \n  11 -> 12 [size =\"28835840\"]\n  11 -> 13 [size =\"28835840\"]\n  12 [size=\"95148032\", alpha=\"0.01\", expect_size=\"47574016\"] \n  12 -> 18 [size =\"47574016\"]\n  12 -> 21 [size =\"47574016\"]\n  12 -> 22 [size =\"47574016\"]\n  12 -> 23 [size =\"47574016\"]\n  13 [size=\"27734016\", alpha=\"0.01\", expect_size=\"13867008\"] \n  14 [size=\"22638592\", alpha=\"0.13\", expect_size=\"11319296\"] \n  14 -> 19 [size =\"11319296\"]\n  15 [size=\"84051968\", alpha=\"0.12\", expect_size=\"42025984\"] \n  15 -> 18 [size =\"42025984\"]\n  15 -> 23 [size =\"42025984\"]\n  16 [size=\"49967104\", alpha=\"0.12\", expect_size=\"24983552\"] \n  16 -> 18 [size =\"24983552\"]\n  16 -> 20 [size =\"24983552\"]\n  16 -> 22 [size =\"24983552\"]\n  17 [size=\"88995840\", alpha=\"0.11\", expect_size=\"44497920\"] \n  17 -> 22 [size =\"44497920\"]\n  17 -> 23 [size =\"44497920\"]\n  18 [size=\"69029888\", alpha=\"0.11\", expect_size=\"34514944\"] \n  18 -> 24 [size =\"34514944\"]\n  18 -> 25 [size =\"34514944\"]\n  18 -> 28 [size =\"34514944\"]\n  18 -> 29 [size =\"34514944\"]\n  19 [size=\"11266048\", alpha=\"0.09\", expect_size=\"5633024\"] \n  19 -> 24 [size =\"5633024\"]\n  19 -> 27 [size =\"5633024\"]\n  19 -> 28 [size =\"5633024\"]\n  20 [size=\"35844096\", alpha=\"0.19\", expect_size=\"17922048\"] \n  20 -> 24 [size =\"17922048\"]\n  21 [size=\"68532224\", alpha=\"0.07\", expect_size=\"34266112\"] \n  21 -> 26 [size =\"34266112\"]\n  21 -> 28 [size =\"34266112\"]\n  21 -> 29 [size =\"34266112\"]\n  22 [size=\"49987584\", alpha=\"0.01\", expect_size=\"24993792\"] \n  22 -> 25 [size =\"24993792\"]\n  22 -> 26 [size =\"24993792\"]\n  22 -> 27 [size =\"24993792\"]\n  23 [size=\"54984704\", alpha=\"0.04\", expect_size=\"27492352\"] \n  23 -> 26 [size =\"27492352\"]\n  23 -> 27 [size =\"27492352\"]\n  23 -> 27 [size =\"27492352\"]\n  23 -> 28 [size =\"27492352\"]\n  24 [size=\"57573376\", alpha=\"0.02\", expect_size=\"28786688\"] \n  24 -> 30 [size =\"28786688\"]\n  24 -> 31 [size =\"28786688\"]\n  24 -> 32 [size =\"28786688\"]\n  24 -> 34 [size =\"28786688\"]\n  24 -> 35 [size =\"28786688\"]\n  25 [size=\"26009600\", alpha=\"0.18\", expect_size=\"13004800\"] \n  25 -> 30 [size =\"13004800\"]\n  26 [size=\"80435200\", alpha=\"0.13\", expect_size=\"40217600\"] \n  26 -> 34 [size =\"40217600\"]\n  27 [size=\"42528768\", alpha=\"0.19\", expect_size=\"21264384\"] \n  27 -> 33 [size =\"21264384\"]\n  27 -> 34 [size =\"21264384\"]\n  28 [size=\"96499712\", alpha=\"0.06\", expect_size=\"48249856\"] \n  28 -> 30 [size =\"48249856\"]\n  28 -> 31 [size =\"48249856\"]\n  28 -> 33 [size =\"48249856\"]\n  28 -> 34 [size =\"48249856\"]\n  29 [size=\"53592064\", alpha=\"0.03\", expect_size=\"26796032\"] \n  29 -> 30 [size =\"26796032\"]\n  29 -> 35 [size =\"26796032\"]\n  30 [size=\"96184320\", alpha=\"0.19\", expect_size=\"48092160\"] \n  30 -> 37 [size =\"48092160\"]\n  30 -> 39 [size =\"48092160\"]\n  31 [size=\"89217024\", alpha=\"0.05\", expect_size=\"44608512\"] \n  31 -> 39 [size =\"44608512\"]\n  32 [size=\"29501440\", alpha=\"0.09\", expect_size=\"14750720\"] \n  32 -> 36 [size =\"14750720\"]\n  32 -> 37 [size =\"14750720\"]\n  33 [size=\"31903744\", alpha=\"0.17\", expect_size=\"15951872\"] \n  33 -> 38 [size =\"15951872\"]\n  34 [size=\"49731584\", alpha=\"0.08\", expect_size=\"24865792\"] \n  34 -> 38 [size =\"24865792\"]\n  34 -> 39 [size =\"24865792\"]\n  34 -> 40 [size =\"24865792\"]\n  35 [size=\"57151488\", alpha=\"0.14\", expect_size=\"28575744\"] \n  35 -> 38 [size =\"28575744\"]\n  36 [size=\"45453312\", alpha=\"0.08\", expect_size=\"22726656\"] \n  36 -> 42 [size =\"22726656\"]\n  36 -> 44 [size =\"22726656\"]\n  37 [size=\"13178880\", alpha=\"0.19\", expect_size=\"6589440\"] \n  38 [size=\"102914048\", alpha=\"0.02\", expect_size=\"51457024\"] \n  38 -> 43 [size =\"51457024\"]\n  38 -> 44 [size =\"51457024\"]\n  39 [size=\"38932480\", alpha=\"0.06\", expect_size=\"19466240\"] \n  39 -> 43 [size =\"19466240\"]\n  39 -> 44 [size =\"19466240\"]\n  39 -> 45 [size =\"19466240\"]\n  40 [size=\"52703232\", alpha=\"0.15\", expect_size=\"26351616\"] \n  40 -> 41 [size =\"26351616\"]\n  40 -> 43 [size =\"26351616\"]\n  41 [size=\"48574464\", alpha=\"0.16\", expect_size=\"24287232\"] \n  42 [size=\"73730048\", alpha=\"0.06\", expect_size=\"36865024\"] \n  43 [size=\"24090624\", alpha=\"0.05\", expect_size=\"12045312\"] \n  44 [size=\"11278336\", alpha=\"0.14\", expect_size=\"5639168\"] \n  45 [size=\"47446016\", alpha=\"0.06\", expect_size=\"23723008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23128747\", alpha=\"0.18\", expect_size=\"6938624\"] \n  1 -> 36 [size =\"6938624\"]\n  1 -> 38 [size =\"6938624\"]\n  1 -> 43 [size =\"6938624\"]\n  1 -> 44 [size =\"6938624\"]\n  2 [size=\"97402880\", alpha=\"0.12\", expect_size=\"29220864\"] \n  2 -> 43 [size =\"29220864\"]\n  2 -> 44 [size =\"29220864\"]\n  3 [size=\"29190827\", alpha=\"0.08\", expect_size=\"8757248\"] \n  3 -> 43 [size =\"8757248\"]\n  4 [size=\"23418880\", alpha=\"0.18\", expect_size=\"7025664\"] \n  4 -> 36 [size =\"7025664\"]\n  4 -> 40 [size =\"7025664\"]\n  4 -> 43 [size =\"7025664\"]\n  4 -> 44 [size =\"7025664\"]\n  4 -> 45 [size =\"7025664\"]\n  5 [size=\"93716480\", alpha=\"0.16\", expect_size=\"28114944\"] \n  5 -> 38 [size =\"28114944\"]\n  5 -> 43 [size =\"28114944\"]\n  5 -> 43 [size =\"28114944\"]\n  5 -> 44 [size =\"28114944\"]\n  5 -> 45 [size =\"28114944\"]\n  6 [size=\"135516160\", alpha=\"0.09\", expect_size=\"40654848\"] \n  6 -> 38 [size =\"40654848\"]\n  6 -> 43 [size =\"40654848\"]\n  6 -> 44 [size =\"40654848\"]\n  6 -> 45 [size =\"40654848\"]\n  7 [size=\"103570773\", alpha=\"0.11\", expect_size=\"31071232\"] \n  7 -> 36 [size =\"31071232\"]\n  7 -> 38 [size =\"31071232\"]\n  7 -> 42 [size =\"31071232\"]\n  7 -> 43 [size =\"31071232\"]\n  7 -> 44 [size =\"31071232\"]\n  7 -> 45 [size =\"31071232\"]\n  8 [size=\"52234240\", alpha=\"0.17\", expect_size=\"15670272\"] \n  8 -> 37 [size =\"15670272\"]\n  8 -> 38 [size =\"15670272\"]\n  8 -> 41 [size =\"15670272\"]\n  8 -> 43 [size =\"15670272\"]\n  8 -> 44 [size =\"15670272\"]\n  8 -> 45 [size =\"15670272\"]\n  9 [size=\"84114773\", alpha=\"0.09\", expect_size=\"25234432\"] \n  9 -> 38 [size =\"25234432\"]\n  9 -> 38 [size =\"25234432\"]\n  9 -> 42 [size =\"25234432\"]\n  9 -> 43 [size =\"25234432\"]\n  9 -> 44 [size =\"25234432\"]\n  9 -> 45 [size =\"25234432\"]\n  10 [size=\"48643413\", alpha=\"0.06\", expect_size=\"14593024\"] \n  10 -> 38 [size =\"14593024\"]\n  10 -> 43 [size =\"14593024\"]\n  10 -> 45 [size =\"14593024\"]\n  11 [size=\"158648320\", alpha=\"0.06\", expect_size=\"47594496\"] \n  11 -> 39 [size =\"47594496\"]\n  11 -> 41 [size =\"47594496\"]\n  11 -> 42 [size =\"47594496\"]\n  11 -> 43 [size =\"47594496\"]\n  11 -> 45 [size =\"47594496\"]\n  12 [size=\"142974293\", alpha=\"0.12\", expect_size=\"42892288\"] \n  12 -> 39 [size =\"42892288\"]\n  12 -> 43 [size =\"42892288\"]\n  12 -> 45 [size =\"42892288\"]\n  13 [size=\"80377173\", alpha=\"0.05\", expect_size=\"24113152\"] \n  13 -> 37 [size =\"24113152\"]\n  13 -> 41 [size =\"24113152\"]\n  13 -> 43 [size =\"24113152\"]\n  13 -> 45 [size =\"24113152\"]\n  14 [size=\"145524053\", alpha=\"0.06\", expect_size=\"43657216\"] \n  14 -> 43 [size =\"43657216\"]\n  14 -> 44 [size =\"43657216\"]\n  14 -> 45 [size =\"43657216\"]\n  15 [size=\"127757653\", alpha=\"0.03\", expect_size=\"38327296\"] \n  15 -> 37 [size =\"38327296\"]\n  15 -> 41 [size =\"38327296\"]\n  15 -> 44 [size =\"38327296\"]\n  16 [size=\"97355093\", alpha=\"0.14\", expect_size=\"29206528\"] \n  16 -> 43 [size =\"29206528\"]\n  16 -> 44 [size =\"29206528\"]\n  16 -> 45 [size =\"29206528\"]\n  17 [size=\"171520000\", alpha=\"0.14\", expect_size=\"51456000\"] \n  17 -> 36 [size =\"51456000\"]\n  17 -> 41 [size =\"51456000\"]\n  17 -> 43 [size =\"51456000\"]\n  17 -> 44 [size =\"51456000\"]\n  18 [size=\"99328000\", alpha=\"0.14\", expect_size=\"29798400\"] \n  18 -> 37 [size =\"29798400\"]\n  18 -> 44 [size =\"29798400\"]\n  18 -> 45 [size =\"29798400\"]\n  19 [size=\"78581760\", alpha=\"0.01\", expect_size=\"23574528\"] \n  19 -> 36 [size =\"23574528\"]\n  19 -> 38 [size =\"23574528\"]\n  19 -> 39 [size =\"23574528\"]\n  19 -> 44 [size =\"23574528\"]\n  20 [size=\"152279040\", alpha=\"0.15\", expect_size=\"45683712\"] \n  20 -> 36 [size =\"45683712\"]\n  20 -> 38 [size =\"45683712\"]\n  20 -> 39 [size =\"45683712\"]\n  20 -> 41 [size =\"45683712\"]\n  20 -> 43 [size =\"45683712\"]\n  20 -> 44 [size =\"45683712\"]\n  21 [size=\"39615147\", alpha=\"0.09\", expect_size=\"11884544\"] \n  21 -> 38 [size =\"11884544\"]\n  21 -> 39 [size =\"11884544\"]\n  21 -> 39 [size =\"11884544\"]\n  21 -> 43 [size =\"11884544\"]\n  21 -> 44 [size =\"11884544\"]\n  21 -> 44 [size =\"11884544\"]\n  22 [size=\"86026240\", alpha=\"0.14\", expect_size=\"25807872\"] \n  22 -> 36 [size =\"25807872\"]\n  22 -> 37 [size =\"25807872\"]\n  22 -> 43 [size =\"25807872\"]\n  22 -> 45 [size =\"25807872\"]\n  23 [size=\"23319893\", alpha=\"0.00\", expect_size=\"6995968\"] \n  23 -> 37 [size =\"6995968\"]\n  23 -> 38 [size =\"6995968\"]\n  23 -> 43 [size =\"6995968\"]\n  23 -> 44 [size =\"6995968\"]\n  24 [size=\"58811733\", alpha=\"0.07\", expect_size=\"17643520\"] \n  24 -> 38 [size =\"17643520\"]\n  24 -> 38 [size =\"17643520\"]\n  24 -> 39 [size =\"17643520\"]\n  25 [size=\"102082560\", alpha=\"0.04\", expect_size=\"30624768\"] \n  25 -> 38 [size =\"30624768\"]\n  25 -> 45 [size =\"30624768\"]\n  26 [size=\"128122880\", alpha=\"0.16\", expect_size=\"38436864\"] \n  26 -> 37 [size =\"38436864\"]\n  26 -> 41 [size =\"38436864\"]\n  26 -> 45 [size =\"38436864\"]\n  27 [size=\"78766080\", alpha=\"0.19\", expect_size=\"23629824\"] \n  27 -> 38 [size =\"23629824\"]\n  27 -> 39 [size =\"23629824\"]\n  27 -> 41 [size =\"23629824\"]\n  27 -> 44 [size =\"23629824\"]\n  27 -> 45 [size =\"23629824\"]\n  28 [size=\"31744000\", alpha=\"0.06\", expect_size=\"9523200\"] \n  28 -> 37 [size =\"9523200\"]\n  28 -> 39 [size =\"9523200\"]\n  28 -> 40 [size =\"9523200\"]\n  28 -> 43 [size =\"9523200\"]\n  28 -> 44 [size =\"9523200\"]\n  28 -> 45 [size =\"9523200\"]\n  29 [size=\"138069333\", alpha=\"0.01\", expect_size=\"41420800\"] \n  29 -> 39 [size =\"41420800\"]\n  29 -> 39 [size =\"41420800\"]\n  29 -> 43 [size =\"41420800\"]\n  29 -> 44 [size =\"41420800\"]\n  29 -> 45 [size =\"41420800\"]\n  29 -> 45 [size =\"41420800\"]\n  30 [size=\"143336107\", alpha=\"0.01\", expect_size=\"43000832\"] \n  30 -> 37 [size =\"43000832\"]\n  30 -> 38 [size =\"43000832\"]\n  30 -> 41 [size =\"43000832\"]\n  30 -> 45 [size =\"43000832\"]\n  31 [size=\"100908373\", alpha=\"0.19\", expect_size=\"30272512\"] \n  31 -> 36 [size =\"30272512\"]\n  31 -> 37 [size =\"30272512\"]\n  31 -> 38 [size =\"30272512\"]\n  31 -> 39 [size =\"30272512\"]\n  31 -> 41 [size =\"30272512\"]\n  31 -> 43 [size =\"30272512\"]\n  31 -> 44 [size =\"30272512\"]\n  31 -> 45 [size =\"30272512\"]\n  32 [size=\"173728427\", alpha=\"0.12\", expect_size=\"52118528\"] \n  32 -> 36 [size =\"52118528\"]\n  32 -> 37 [size =\"52118528\"]\n  32 -> 38 [size =\"52118528\"]\n  32 -> 39 [size =\"52118528\"]\n  33 [size=\"127153493\", alpha=\"0.14\", expect_size=\"38146048\"] \n  33 -> 38 [size =\"38146048\"]\n  33 -> 40 [size =\"38146048\"]\n  33 -> 45 [size =\"38146048\"]\n  34 [size=\"130187947\", alpha=\"0.11\", expect_size=\"39056384\"] \n  34 -> 38 [size =\"39056384\"]\n  34 -> 41 [size =\"39056384\"]\n  35 [size=\"31491413\", alpha=\"0.03\", expect_size=\"9447424\"] \n  35 -> 41 [size =\"9447424\"]\n  35 -> 43 [size =\"9447424\"]\n  35 -> 45 [size =\"9447424\"]\n  36 [size=\"64593920\", alpha=\"0.05\", expect_size=\"19378176\"] \n  37 [size=\"32959147\", alpha=\"0.07\", expect_size=\"9887744\"] \n  38 [size=\"22691840\", alpha=\"0.18\", expect_size=\"6807552\"] \n  39 [size=\"68546560\", alpha=\"0.18\", expect_size=\"20563968\"] \n  40 [size=\"79882240\", alpha=\"0.15\", expect_size=\"23964672\"] \n  41 [size=\"87862613\", alpha=\"0.15\", expect_size=\"26358784\"] \n  42 [size=\"76380160\", alpha=\"0.03\", expect_size=\"22914048\"] \n  43 [size=\"170929493\", alpha=\"0.12\", expect_size=\"51278848\"] \n  44 [size=\"119842133\", alpha=\"0.07\", expect_size=\"35952640\"] \n  45 [size=\"51169280\", alpha=\"0.12\", expect_size=\"15350784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13979648\", alpha=\"0.18\", expect_size=\"6989824\"] \n  1 -> 2 [size =\"6989824\"]\n  2 [size=\"40361984\", alpha=\"0.14\", expect_size=\"20180992\"] \n  2 -> 3 [size =\"20180992\"]\n  3 [size=\"11354112\", alpha=\"0.03\", expect_size=\"5677056\"] \n  3 -> 4 [size =\"5677056\"]\n  4 [size=\"55111680\", alpha=\"0.09\", expect_size=\"27555840\"] \n  4 -> 5 [size =\"27555840\"]\n  5 [size=\"87531520\", alpha=\"0.12\", expect_size=\"43765760\"] \n  5 -> 6 [size =\"43765760\"]\n  6 [size=\"23914496\", alpha=\"0.06\", expect_size=\"11957248\"] \n  6 -> 7 [size =\"11957248\"]\n  7 [size=\"104226816\", alpha=\"0.02\", expect_size=\"52113408\"] \n  7 -> 8 [size =\"52113408\"]\n  8 [size=\"21075968\", alpha=\"0.10\", expect_size=\"10537984\"] \n  8 -> 9 [size =\"10537984\"]\n  9 [size=\"50352128\", alpha=\"0.03\", expect_size=\"25176064\"] \n  9 -> 10 [size =\"25176064\"]\n  10 [size=\"26034176\", alpha=\"0.03\", expect_size=\"13017088\"] \n  10 -> 11 [size =\"13017088\"]\n  11 [size=\"47896576\", alpha=\"0.19\", expect_size=\"23948288\"] \n  11 -> 12 [size =\"23948288\"]\n  12 [size=\"38453248\", alpha=\"0.03\", expect_size=\"19226624\"] \n  12 -> 13 [size =\"19226624\"]\n  13 [size=\"103866368\", alpha=\"0.00\", expect_size=\"51933184\"] \n  13 -> 14 [size =\"51933184\"]\n  14 [size=\"22456320\", alpha=\"0.06\", expect_size=\"11228160\"] \n  14 -> 15 [size =\"11228160\"]\n  15 [size=\"65970176\", alpha=\"0.16\", expect_size=\"32985088\"] \n  15 -> 16 [size =\"32985088\"]\n  16 [size=\"29274112\", alpha=\"0.05\", expect_size=\"14637056\"] \n  16 -> 17 [size =\"14637056\"]\n  17 [size=\"56870912\", alpha=\"0.06\", expect_size=\"28435456\"] \n  17 -> 18 [size =\"28435456\"]\n  18 [size=\"68618240\", alpha=\"0.07\", expect_size=\"34309120\"] \n  18 -> 19 [size =\"34309120\"]\n  19 [size=\"19924992\", alpha=\"0.12\", expect_size=\"9962496\"] \n  19 -> 20 [size =\"9962496\"]\n  20 [size=\"32792576\", alpha=\"0.08\", expect_size=\"16396288\"] \n  20 -> 21 [size =\"16396288\"]\n  21 [size=\"45991936\", alpha=\"0.05\", expect_size=\"22995968\"] \n  21 -> 22 [size =\"22995968\"]\n  22 [size=\"41482240\", alpha=\"0.09\", expect_size=\"20741120\"] \n  22 -> 23 [size =\"20741120\"]\n  23 [size=\"57608192\", alpha=\"0.12\", expect_size=\"28804096\"] \n  23 -> 24 [size =\"28804096\"]\n  24 [size=\"58767360\", alpha=\"0.05\", expect_size=\"29383680\"] \n  24 -> 25 [size =\"29383680\"]\n  25 [size=\"85893120\", alpha=\"0.15\", expect_size=\"42946560\"] \n  25 -> 26 [size =\"42946560\"]\n  26 [size=\"68046848\", alpha=\"0.07\", expect_size=\"34023424\"] \n  26 -> 27 [size =\"34023424\"]\n  27 [size=\"92897280\", alpha=\"0.19\", expect_size=\"46448640\"] \n  27 -> 28 [size =\"46448640\"]\n  28 [size=\"25532416\", alpha=\"0.13\", expect_size=\"12766208\"] \n  28 -> 29 [size =\"12766208\"]\n  29 [size=\"56643584\", alpha=\"0.16\", expect_size=\"28321792\"] \n  29 -> 30 [size =\"28321792\"]\n  30 [size=\"16979968\", alpha=\"0.02\", expect_size=\"8489984\"] \n  30 -> 31 [size =\"8489984\"]\n  31 [size=\"54568960\", alpha=\"0.16\", expect_size=\"27284480\"] \n  31 -> 32 [size =\"27284480\"]\n  32 [size=\"78532608\", alpha=\"0.16\", expect_size=\"39266304\"] \n  32 -> 33 [size =\"39266304\"]\n  33 [size=\"24377344\", alpha=\"0.16\", expect_size=\"12188672\"] \n  33 -> 34 [size =\"12188672\"]\n  34 [size=\"81715200\", alpha=\"0.18\", expect_size=\"40857600\"] \n  34 -> 35 [size =\"40857600\"]\n  35 [size=\"12060672\", alpha=\"0.12\", expect_size=\"6030336\"] \n  35 -> 36 [size =\"6030336\"]\n  36 [size=\"81205248\", alpha=\"0.11\", expect_size=\"40602624\"] \n  36 -> 37 [size =\"40602624\"]\n  37 [size=\"19458048\", alpha=\"0.18\", expect_size=\"9729024\"] \n  37 -> 38 [size =\"9729024\"]\n  38 [size=\"14938112\", alpha=\"0.19\", expect_size=\"7469056\"] \n  38 -> 39 [size =\"7469056\"]\n  39 [size=\"78235648\", alpha=\"0.01\", expect_size=\"39117824\"] \n  39 -> 40 [size =\"39117824\"]\n  40 [size=\"60473344\", alpha=\"0.08\", expect_size=\"30236672\"] \n  40 -> 41 [size =\"30236672\"]\n  41 [size=\"71573504\", alpha=\"0.02\", expect_size=\"35786752\"] \n  41 -> 42 [size =\"35786752\"]\n  42 [size=\"54577152\", alpha=\"0.03\", expect_size=\"27288576\"] \n  42 -> 43 [size =\"27288576\"]\n  43 [size=\"37449728\", alpha=\"0.14\", expect_size=\"18724864\"] \n  43 -> 44 [size =\"18724864\"]\n  44 [size=\"19206144\", alpha=\"0.15\", expect_size=\"9603072\"] \n  44 -> 45 [size =\"9603072\"]\n  45 [size=\"11812864\", alpha=\"0.13\", expect_size=\"5906432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41858560\", alpha=\"0.16\", expect_size=\"16743424\"] \n  1 -> 2 [size =\"16743424\"]\n  2 [size=\"78220800\", alpha=\"0.08\", expect_size=\"31288320\"] \n  2 -> 3 [size =\"31288320\"]\n  3 [size=\"59038720\", alpha=\"0.05\", expect_size=\"23615488\"] \n  3 -> 4 [size =\"23615488\"]\n  4 [size=\"24335360\", alpha=\"0.11\", expect_size=\"9734144\"] \n  4 -> 5 [size =\"9734144\"]\n  5 [size=\"55342080\", alpha=\"0.18\", expect_size=\"22136832\"] \n  5 -> 6 [size =\"22136832\"]\n  6 [size=\"108820480\", alpha=\"0.10\", expect_size=\"43528192\"] \n  6 -> 7 [size =\"43528192\"]\n  7 [size=\"85775360\", alpha=\"0.08\", expect_size=\"34310144\"] \n  7 -> 8 [size =\"34310144\"]\n  8 [size=\"19809280\", alpha=\"0.00\", expect_size=\"7923712\"] \n  8 -> 9 [size =\"7923712\"]\n  9 [size=\"105044480\", alpha=\"0.12\", expect_size=\"42017792\"] \n  9 -> 10 [size =\"42017792\"]\n  10 [size=\"66629120\", alpha=\"0.07\", expect_size=\"26651648\"] \n  10 -> 11 [size =\"26651648\"]\n  11 [size=\"98288640\", alpha=\"0.07\", expect_size=\"39315456\"] \n  11 -> 12 [size =\"39315456\"]\n  12 [size=\"74890240\", alpha=\"0.13\", expect_size=\"29956096\"] \n  12 -> 13 [size =\"29956096\"]\n  13 [size=\"124559360\", alpha=\"0.04\", expect_size=\"49823744\"] \n  13 -> 14 [size =\"49823744\"]\n  14 [size=\"38960640\", alpha=\"0.02\", expect_size=\"15584256\"] \n  14 -> 15 [size =\"15584256\"]\n  15 [size=\"105192960\", alpha=\"0.03\", expect_size=\"42077184\"] \n  15 -> 16 [size =\"42077184\"]\n  16 [size=\"93724160\", alpha=\"0.08\", expect_size=\"37489664\"] \n  16 -> 17 [size =\"37489664\"]\n  17 [size=\"34014720\", alpha=\"0.01\", expect_size=\"13605888\"] \n  17 -> 18 [size =\"13605888\"]\n  18 [size=\"78607360\", alpha=\"0.01\", expect_size=\"31442944\"] \n  18 -> 19 [size =\"31442944\"]\n  19 [size=\"80289280\", alpha=\"0.02\", expect_size=\"32115712\"] \n  19 -> 20 [size =\"32115712\"]\n  20 [size=\"34944000\", alpha=\"0.19\", expect_size=\"13977600\"] \n  20 -> 21 [size =\"13977600\"]\n  21 [size=\"79088640\", alpha=\"0.01\", expect_size=\"31635456\"] \n  21 -> 22 [size =\"31635456\"]\n  22 [size=\"122152960\", alpha=\"0.14\", expect_size=\"48861184\"] \n  22 -> 23 [size =\"48861184\"]\n  23 [size=\"81262080\", alpha=\"0.15\", expect_size=\"32504832\"] \n  23 -> 24 [size =\"32504832\"]\n  24 [size=\"102289920\", alpha=\"0.18\", expect_size=\"40915968\"] \n  24 -> 25 [size =\"40915968\"]\n  25 [size=\"114352640\", alpha=\"0.08\", expect_size=\"45741056\"] \n  25 -> 26 [size =\"45741056\"]\n  26 [size=\"16724480\", alpha=\"0.14\", expect_size=\"6689792\"] \n  26 -> 27 [size =\"6689792\"]\n  27 [size=\"65208320\", alpha=\"0.13\", expect_size=\"26083328\"] \n  27 -> 28 [size =\"26083328\"]\n  28 [size=\"72936960\", alpha=\"0.12\", expect_size=\"29174784\"] \n  28 -> 29 [size =\"29174784\"]\n  29 [size=\"76272640\", alpha=\"0.08\", expect_size=\"30509056\"] \n  29 -> 30 [size =\"30509056\"]\n  30 [size=\"87669760\", alpha=\"0.12\", expect_size=\"35067904\"] \n  30 -> 31 [size =\"35067904\"]\n  31 [size=\"82570240\", alpha=\"0.11\", expect_size=\"33028096\"] \n  31 -> 32 [size =\"33028096\"]\n  32 [size=\"89722880\", alpha=\"0.20\", expect_size=\"35889152\"] \n  32 -> 33 [size =\"35889152\"]\n  33 [size=\"56284160\", alpha=\"0.08\", expect_size=\"22513664\"] \n  33 -> 34 [size =\"22513664\"]\n  34 [size=\"28183040\", alpha=\"0.01\", expect_size=\"11273216\"] \n  34 -> 35 [size =\"11273216\"]\n  35 [size=\"16647680\", alpha=\"0.09\", expect_size=\"6659072\"] \n  35 -> 36 [size =\"6659072\"]\n  36 [size=\"63918080\", alpha=\"0.10\", expect_size=\"25567232\"] \n  36 -> 37 [size =\"25567232\"]\n  37 [size=\"29775360\", alpha=\"0.16\", expect_size=\"11910144\"] \n  37 -> 38 [size =\"11910144\"]\n  38 [size=\"104855040\", alpha=\"0.12\", expect_size=\"41942016\"] \n  38 -> 39 [size =\"41942016\"]\n  39 [size=\"59929600\", alpha=\"0.00\", expect_size=\"23971840\"] \n  39 -> 40 [size =\"23971840\"]\n  40 [size=\"104903680\", alpha=\"0.12\", expect_size=\"41961472\"] \n  40 -> 41 [size =\"41961472\"]\n  41 [size=\"57374720\", alpha=\"0.14\", expect_size=\"22949888\"] \n  41 -> 42 [size =\"22949888\"]\n  42 [size=\"120486400\", alpha=\"0.16\", expect_size=\"48194560\"] \n  42 -> 43 [size =\"48194560\"]\n  43 [size=\"120094720\", alpha=\"0.08\", expect_size=\"48037888\"] \n  43 -> 44 [size =\"48037888\"]\n  44 [size=\"49692160\", alpha=\"0.16\", expect_size=\"19876864\"] \n  44 -> 45 [size =\"19876864\"]\n  45 [size=\"53096960\", alpha=\"0.01\", expect_size=\"21238784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57982976\", alpha=\"0.09\", expect_size=\"28991488\"] \n  1 -> 17 [size =\"28991488\"]\n  1 -> 23 [size =\"28991488\"]\n  2 [size=\"92643328\", alpha=\"0.13\", expect_size=\"46321664\"] \n  2 -> 16 [size =\"46321664\"]\n  2 -> 18 [size =\"46321664\"]\n  2 -> 23 [size =\"46321664\"]\n  2 -> 27 [size =\"46321664\"]\n  3 [size=\"54740992\", alpha=\"0.19\", expect_size=\"27370496\"] \n  3 -> 15 [size =\"27370496\"]\n  3 -> 19 [size =\"27370496\"]\n  3 -> 25 [size =\"27370496\"]\n  3 -> 27 [size =\"27370496\"]\n  4 [size=\"28901376\", alpha=\"0.03\", expect_size=\"14450688\"] \n  4 -> 21 [size =\"14450688\"]\n  4 -> 22 [size =\"14450688\"]\n  4 -> 23 [size =\"14450688\"]\n  4 -> 27 [size =\"14450688\"]\n  5 [size=\"47593472\", alpha=\"0.14\", expect_size=\"23796736\"] \n  5 -> 16 [size =\"23796736\"]\n  5 -> 20 [size =\"23796736\"]\n  5 -> 21 [size =\"23796736\"]\n  5 -> 23 [size =\"23796736\"]\n  5 -> 24 [size =\"23796736\"]\n  6 [size=\"51890176\", alpha=\"0.07\", expect_size=\"25945088\"] \n  6 -> 18 [size =\"25945088\"]\n  6 -> 21 [size =\"25945088\"]\n  6 -> 24 [size =\"25945088\"]\n  6 -> 25 [size =\"25945088\"]\n  7 [size=\"34385920\", alpha=\"0.07\", expect_size=\"17192960\"] \n  7 -> 17 [size =\"17192960\"]\n  7 -> 18 [size =\"17192960\"]\n  7 -> 21 [size =\"17192960\"]\n  7 -> 25 [size =\"17192960\"]\n  7 -> 26 [size =\"17192960\"]\n  8 [size=\"32974848\", alpha=\"0.11\", expect_size=\"16487424\"] \n  8 -> 15 [size =\"16487424\"]\n  8 -> 19 [size =\"16487424\"]\n  8 -> 21 [size =\"16487424\"]\n  8 -> 25 [size =\"16487424\"]\n  9 [size=\"59267072\", alpha=\"0.18\", expect_size=\"29633536\"] \n  9 -> 19 [size =\"29633536\"]\n  9 -> 25 [size =\"29633536\"]\n  9 -> 26 [size =\"29633536\"]\n  10 [size=\"103043072\", alpha=\"0.15\", expect_size=\"51521536\"] \n  10 -> 16 [size =\"51521536\"]\n  10 -> 17 [size =\"51521536\"]\n  10 -> 19 [size =\"51521536\"]\n  10 -> 23 [size =\"51521536\"]\n  11 [size=\"96454656\", alpha=\"0.11\", expect_size=\"48227328\"] \n  11 -> 16 [size =\"48227328\"]\n  11 -> 21 [size =\"48227328\"]\n  11 -> 24 [size =\"48227328\"]\n  11 -> 27 [size =\"48227328\"]\n  12 [size=\"46465024\", alpha=\"0.10\", expect_size=\"23232512\"] \n  12 -> 14 [size =\"23232512\"]\n  12 -> 16 [size =\"23232512\"]\n  12 -> 18 [size =\"23232512\"]\n  12 -> 19 [size =\"23232512\"]\n  12 -> 23 [size =\"23232512\"]\n  12 -> 26 [size =\"23232512\"]\n  13 [size=\"11546624\", alpha=\"0.10\", expect_size=\"5773312\"] \n  13 -> 16 [size =\"5773312\"]\n  13 -> 16 [size =\"5773312\"]\n  13 -> 19 [size =\"5773312\"]\n  13 -> 23 [size =\"5773312\"]\n  13 -> 25 [size =\"5773312\"]\n  13 -> 26 [size =\"5773312\"]\n  14 [size=\"101636096\", alpha=\"0.18\", expect_size=\"50818048\"] \n  14 -> 32 [size =\"50818048\"]\n  14 -> 35 [size =\"50818048\"]\n  14 -> 37 [size =\"50818048\"]\n  15 [size=\"20979712\", alpha=\"0.15\", expect_size=\"10489856\"] \n  15 -> 31 [size =\"10489856\"]\n  15 -> 33 [size =\"10489856\"]\n  15 -> 37 [size =\"10489856\"]\n  16 [size=\"84862976\", alpha=\"0.15\", expect_size=\"42431488\"] \n  16 -> 35 [size =\"42431488\"]\n  16 -> 36 [size =\"42431488\"]\n  17 [size=\"22304768\", alpha=\"0.04\", expect_size=\"11152384\"] \n  18 [size=\"55269376\", alpha=\"0.07\", expect_size=\"27634688\"] \n  18 -> 30 [size =\"27634688\"]\n  18 -> 31 [size =\"27634688\"]\n  18 -> 32 [size =\"27634688\"]\n  18 -> 33 [size =\"27634688\"]\n  18 -> 34 [size =\"27634688\"]\n  18 -> 39 [size =\"27634688\"]\n  19 [size=\"10633216\", alpha=\"0.09\", expect_size=\"5316608\"] \n  19 -> 31 [size =\"5316608\"]\n  19 -> 32 [size =\"5316608\"]\n  19 -> 33 [size =\"5316608\"]\n  19 -> 34 [size =\"5316608\"]\n  19 -> 36 [size =\"5316608\"]\n  20 [size=\"94550016\", alpha=\"0.04\", expect_size=\"47275008\"] \n  20 -> 31 [size =\"47275008\"]\n  20 -> 32 [size =\"47275008\"]\n  20 -> 33 [size =\"47275008\"]\n  20 -> 37 [size =\"47275008\"]\n  20 -> 38 [size =\"47275008\"]\n  20 -> 40 [size =\"47275008\"]\n  21 [size=\"70070272\", alpha=\"0.09\", expect_size=\"35035136\"] \n  21 -> 33 [size =\"35035136\"]\n  21 -> 37 [size =\"35035136\"]\n  21 -> 41 [size =\"35035136\"]\n  22 [size=\"29794304\", alpha=\"0.12\", expect_size=\"14897152\"] \n  22 -> 31 [size =\"14897152\"]\n  22 -> 33 [size =\"14897152\"]\n  22 -> 34 [size =\"14897152\"]\n  22 -> 37 [size =\"14897152\"]\n  23 [size=\"75102208\", alpha=\"0.04\", expect_size=\"37551104\"] \n  23 -> 34 [size =\"37551104\"]\n  23 -> 35 [size =\"37551104\"]\n  24 [size=\"26851328\", alpha=\"0.20\", expect_size=\"13425664\"] \n  24 -> 29 [size =\"13425664\"]\n  24 -> 32 [size =\"13425664\"]\n  24 -> 34 [size =\"13425664\"]\n  24 -> 35 [size =\"13425664\"]\n  25 [size=\"19527680\", alpha=\"0.03\", expect_size=\"9763840\"] \n  25 -> 32 [size =\"9763840\"]\n  25 -> 35 [size =\"9763840\"]\n  25 -> 39 [size =\"9763840\"]\n  26 [size=\"91027456\", alpha=\"0.16\", expect_size=\"45513728\"] \n  26 -> 35 [size =\"45513728\"]\n  26 -> 37 [size =\"45513728\"]\n  26 -> 39 [size =\"45513728\"]\n  27 [size=\"66318336\", alpha=\"0.13\", expect_size=\"33159168\"] \n  27 -> 28 [size =\"33159168\"]\n  27 -> 31 [size =\"33159168\"]\n  27 -> 32 [size =\"33159168\"]\n  27 -> 33 [size =\"33159168\"]\n  27 -> 34 [size =\"33159168\"]\n  27 -> 37 [size =\"33159168\"]\n  27 -> 38 [size =\"33159168\"]\n  27 -> 39 [size =\"33159168\"]\n  28 [size=\"83726336\", alpha=\"0.16\", expect_size=\"41863168\"] \n  28 -> 44 [size =\"41863168\"]\n  29 [size=\"23789568\", alpha=\"0.08\", expect_size=\"11894784\"] \n  29 -> 42 [size =\"11894784\"]\n  30 [size=\"65646592\", alpha=\"0.01\", expect_size=\"32823296\"] \n  30 -> 42 [size =\"32823296\"]\n  30 -> 44 [size =\"32823296\"]\n  31 [size=\"84434944\", alpha=\"0.11\", expect_size=\"42217472\"] \n  32 [size=\"33277952\", alpha=\"0.09\", expect_size=\"16638976\"] \n  32 -> 44 [size =\"16638976\"]\n  33 [size=\"88707072\", alpha=\"0.08\", expect_size=\"44353536\"] \n  33 -> 43 [size =\"44353536\"]\n  33 -> 44 [size =\"44353536\"]\n  34 [size=\"11864064\", alpha=\"0.05\", expect_size=\"5932032\"] \n  35 [size=\"104278016\", alpha=\"0.05\", expect_size=\"52139008\"] \n  35 -> 42 [size =\"52139008\"]\n  35 -> 43 [size =\"52139008\"]\n  36 [size=\"25571328\", alpha=\"0.01\", expect_size=\"12785664\"] \n  36 -> 43 [size =\"12785664\"]\n  37 [size=\"100265984\", alpha=\"0.19\", expect_size=\"50132992\"] \n  37 -> 42 [size =\"50132992\"]\n  37 -> 43 [size =\"50132992\"]\n  38 [size=\"69146624\", alpha=\"0.07\", expect_size=\"34573312\"] \n  38 -> 42 [size =\"34573312\"]\n  38 -> 45 [size =\"34573312\"]\n  39 [size=\"49074176\", alpha=\"0.15\", expect_size=\"24537088\"] \n  39 -> 42 [size =\"24537088\"]\n  39 -> 44 [size =\"24537088\"]\n  39 -> 45 [size =\"24537088\"]\n  40 [size=\"88832000\", alpha=\"0.00\", expect_size=\"44416000\"] \n  40 -> 43 [size =\"44416000\"]\n  40 -> 44 [size =\"44416000\"]\n  41 [size=\"92235776\", alpha=\"0.18\", expect_size=\"46117888\"] \n  42 [size=\"50880512\", alpha=\"0.00\", expect_size=\"25440256\"] \n  43 [size=\"95117312\", alpha=\"0.16\", expect_size=\"47558656\"] \n  44 [size=\"37265408\", alpha=\"0.16\", expect_size=\"18632704\"] \n  45 [size=\"62849024\", alpha=\"0.17\", expect_size=\"31424512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92485632\", alpha=\"0.14\", expect_size=\"46242816\"] \n  1 -> 17 [size =\"46242816\"]\n  1 -> 18 [size =\"46242816\"]\n  1 -> 20 [size =\"46242816\"]\n  1 -> 22 [size =\"46242816\"]\n  2 [size=\"100878336\", alpha=\"0.06\", expect_size=\"50439168\"] \n  2 -> 17 [size =\"50439168\"]\n  2 -> 18 [size =\"50439168\"]\n  3 [size=\"103419904\", alpha=\"0.15\", expect_size=\"51709952\"] \n  3 -> 17 [size =\"51709952\"]\n  3 -> 18 [size =\"51709952\"]\n  3 -> 19 [size =\"51709952\"]\n  3 -> 22 [size =\"51709952\"]\n  4 [size=\"85534720\", alpha=\"0.11\", expect_size=\"42767360\"] \n  4 -> 17 [size =\"42767360\"]\n  4 -> 18 [size =\"42767360\"]\n  4 -> 20 [size =\"42767360\"]\n  4 -> 21 [size =\"42767360\"]\n  4 -> 23 [size =\"42767360\"]\n  5 [size=\"34332672\", alpha=\"0.01\", expect_size=\"17166336\"] \n  5 -> 17 [size =\"17166336\"]\n  5 -> 18 [size =\"17166336\"]\n  5 -> 20 [size =\"17166336\"]\n  5 -> 22 [size =\"17166336\"]\n  5 -> 23 [size =\"17166336\"]\n  6 [size=\"34875392\", alpha=\"0.19\", expect_size=\"17437696\"] \n  6 -> 17 [size =\"17437696\"]\n  6 -> 18 [size =\"17437696\"]\n  6 -> 20 [size =\"17437696\"]\n  6 -> 21 [size =\"17437696\"]\n  6 -> 22 [size =\"17437696\"]\n  7 [size=\"72275968\", alpha=\"0.16\", expect_size=\"36137984\"] \n  7 -> 17 [size =\"36137984\"]\n  7 -> 18 [size =\"36137984\"]\n  7 -> 20 [size =\"36137984\"]\n  7 -> 21 [size =\"36137984\"]\n  7 -> 22 [size =\"36137984\"]\n  8 [size=\"28669952\", alpha=\"0.08\", expect_size=\"14334976\"] \n  8 -> 18 [size =\"14334976\"]\n  8 -> 18 [size =\"14334976\"]\n  8 -> 20 [size =\"14334976\"]\n  8 -> 22 [size =\"14334976\"]\n  9 [size=\"76333056\", alpha=\"0.12\", expect_size=\"38166528\"] \n  9 -> 17 [size =\"38166528\"]\n  9 -> 18 [size =\"38166528\"]\n  9 -> 19 [size =\"38166528\"]\n  9 -> 21 [size =\"38166528\"]\n  10 [size=\"46198784\", alpha=\"0.12\", expect_size=\"23099392\"] \n  10 -> 17 [size =\"23099392\"]\n  10 -> 18 [size =\"23099392\"]\n  10 -> 19 [size =\"23099392\"]\n  10 -> 21 [size =\"23099392\"]\n  10 -> 22 [size =\"23099392\"]\n  11 [size=\"100050944\", alpha=\"0.17\", expect_size=\"50025472\"] \n  11 -> 18 [size =\"50025472\"]\n  11 -> 19 [size =\"50025472\"]\n  11 -> 20 [size =\"50025472\"]\n  12 [size=\"71053312\", alpha=\"0.17\", expect_size=\"35526656\"] \n  12 -> 17 [size =\"35526656\"]\n  12 -> 20 [size =\"35526656\"]\n  12 -> 23 [size =\"35526656\"]\n  13 [size=\"99356672\", alpha=\"0.14\", expect_size=\"49678336\"] \n  13 -> 19 [size =\"49678336\"]\n  13 -> 20 [size =\"49678336\"]\n  13 -> 22 [size =\"49678336\"]\n  13 -> 23 [size =\"49678336\"]\n  14 [size=\"76523520\", alpha=\"0.02\", expect_size=\"38261760\"] \n  14 -> 17 [size =\"38261760\"]\n  14 -> 22 [size =\"38261760\"]\n  14 -> 23 [size =\"38261760\"]\n  14 -> 23 [size =\"38261760\"]\n  15 [size=\"35530752\", alpha=\"0.09\", expect_size=\"17765376\"] \n  15 -> 17 [size =\"17765376\"]\n  15 -> 18 [size =\"17765376\"]\n  15 -> 21 [size =\"17765376\"]\n  15 -> 22 [size =\"17765376\"]\n  15 -> 23 [size =\"17765376\"]\n  16 [size=\"41631744\", alpha=\"0.12\", expect_size=\"20815872\"] \n  16 -> 17 [size =\"20815872\"]\n  16 -> 18 [size =\"20815872\"]\n  16 -> 21 [size =\"20815872\"]\n  16 -> 22 [size =\"20815872\"]\n  16 -> 23 [size =\"20815872\"]\n  17 [size=\"36640768\", alpha=\"0.16\", expect_size=\"18320384\"] \n  17 -> 26 [size =\"18320384\"]\n  17 -> 28 [size =\"18320384\"]\n  17 -> 32 [size =\"18320384\"]\n  17 -> 34 [size =\"18320384\"]\n  17 -> 35 [size =\"18320384\"]\n  17 -> 37 [size =\"18320384\"]\n  17 -> 40 [size =\"18320384\"]\n  17 -> 41 [size =\"18320384\"]\n  17 -> 42 [size =\"18320384\"]\n  17 -> 43 [size =\"18320384\"]\n  18 [size=\"18724864\", alpha=\"0.17\", expect_size=\"9362432\"] \n  18 -> 28 [size =\"9362432\"]\n  18 -> 29 [size =\"9362432\"]\n  18 -> 31 [size =\"9362432\"]\n  18 -> 32 [size =\"9362432\"]\n  18 -> 35 [size =\"9362432\"]\n  18 -> 37 [size =\"9362432\"]\n  18 -> 38 [size =\"9362432\"]\n  18 -> 43 [size =\"9362432\"]\n  19 [size=\"58333184\", alpha=\"0.01\", expect_size=\"29166592\"] \n  19 -> 28 [size =\"29166592\"]\n  19 -> 29 [size =\"29166592\"]\n  19 -> 30 [size =\"29166592\"]\n  19 -> 32 [size =\"29166592\"]\n  19 -> 35 [size =\"29166592\"]\n  19 -> 36 [size =\"29166592\"]\n  19 -> 37 [size =\"29166592\"]\n  19 -> 43 [size =\"29166592\"]\n  20 [size=\"22732800\", alpha=\"0.05\", expect_size=\"11366400\"] \n  20 -> 25 [size =\"11366400\"]\n  20 -> 26 [size =\"11366400\"]\n  20 -> 27 [size =\"11366400\"]\n  20 -> 28 [size =\"11366400\"]\n  20 -> 29 [size =\"11366400\"]\n  20 -> 30 [size =\"11366400\"]\n  20 -> 31 [size =\"11366400\"]\n  20 -> 32 [size =\"11366400\"]\n  20 -> 33 [size =\"11366400\"]\n  20 -> 34 [size =\"11366400\"]\n  20 -> 35 [size =\"11366400\"]\n  20 -> 39 [size =\"11366400\"]\n  20 -> 43 [size =\"11366400\"]\n  21 [size=\"77371392\", alpha=\"0.07\", expect_size=\"38685696\"] \n  21 -> 25 [size =\"38685696\"]\n  21 -> 28 [size =\"38685696\"]\n  21 -> 30 [size =\"38685696\"]\n  21 -> 32 [size =\"38685696\"]\n  21 -> 34 [size =\"38685696\"]\n  21 -> 35 [size =\"38685696\"]\n  21 -> 37 [size =\"38685696\"]\n  21 -> 43 [size =\"38685696\"]\n  22 [size=\"63442944\", alpha=\"0.07\", expect_size=\"31721472\"] \n  22 -> 24 [size =\"31721472\"]\n  22 -> 25 [size =\"31721472\"]\n  22 -> 27 [size =\"31721472\"]\n  22 -> 31 [size =\"31721472\"]\n  22 -> 32 [size =\"31721472\"]\n  22 -> 34 [size =\"31721472\"]\n  22 -> 37 [size =\"31721472\"]\n  22 -> 39 [size =\"31721472\"]\n  22 -> 42 [size =\"31721472\"]\n  22 -> 43 [size =\"31721472\"]\n  23 [size=\"51087360\", alpha=\"0.07\", expect_size=\"25543680\"] \n  23 -> 28 [size =\"25543680\"]\n  23 -> 30 [size =\"25543680\"]\n  23 -> 37 [size =\"25543680\"]\n  23 -> 39 [size =\"25543680\"]\n  23 -> 42 [size =\"25543680\"]\n  23 -> 43 [size =\"25543680\"]\n  24 [size=\"22747136\", alpha=\"0.03\", expect_size=\"11373568\"] \n  24 -> 45 [size =\"11373568\"]\n  25 [size=\"33513472\", alpha=\"0.05\", expect_size=\"16756736\"] \n  25 -> 45 [size =\"16756736\"]\n  26 [size=\"78299136\", alpha=\"0.11\", expect_size=\"39149568\"] \n  26 -> 45 [size =\"39149568\"]\n  27 [size=\"40114176\", alpha=\"0.10\", expect_size=\"20057088\"] \n  27 -> 44 [size =\"20057088\"]\n  27 -> 45 [size =\"20057088\"]\n  28 [size=\"19187712\", alpha=\"0.14\", expect_size=\"9593856\"] \n  28 -> 45 [size =\"9593856\"]\n  29 [size=\"101382144\", alpha=\"0.11\", expect_size=\"50691072\"] \n  30 [size=\"13451264\", alpha=\"0.16\", expect_size=\"6725632\"] \n  31 [size=\"38596608\", alpha=\"0.19\", expect_size=\"19298304\"] \n  31 -> 44 [size =\"19298304\"]\n  31 -> 45 [size =\"19298304\"]\n  32 [size=\"70074368\", alpha=\"0.16\", expect_size=\"35037184\"] \n  32 -> 45 [size =\"35037184\"]\n  33 [size=\"103907328\", alpha=\"0.11\", expect_size=\"51953664\"] \n  33 -> 45 [size =\"51953664\"]\n  34 [size=\"44285952\", alpha=\"0.01\", expect_size=\"22142976\"] \n  34 -> 45 [size =\"22142976\"]\n  35 [size=\"60633088\", alpha=\"0.16\", expect_size=\"30316544\"] \n  36 [size=\"82423808\", alpha=\"0.17\", expect_size=\"41211904\"] \n  37 [size=\"39677952\", alpha=\"0.04\", expect_size=\"19838976\"] \n  37 -> 45 [size =\"19838976\"]\n  38 [size=\"88561664\", alpha=\"0.13\", expect_size=\"44280832\"] \n  38 -> 44 [size =\"44280832\"]\n  38 -> 45 [size =\"44280832\"]\n  39 [size=\"58513408\", alpha=\"0.11\", expect_size=\"29256704\"] \n  39 -> 44 [size =\"29256704\"]\n  39 -> 45 [size =\"29256704\"]\n  40 [size=\"15384576\", alpha=\"0.13\", expect_size=\"7692288\"] \n  40 -> 45 [size =\"7692288\"]\n  40 -> 45 [size =\"7692288\"]\n  41 [size=\"89257984\", alpha=\"0.08\", expect_size=\"44628992\"] \n  41 -> 45 [size =\"44628992\"]\n  42 [size=\"86587392\", alpha=\"0.15\", expect_size=\"43293696\"] \n  42 -> 45 [size =\"43293696\"]\n  43 [size=\"67938304\", alpha=\"0.10\", expect_size=\"33969152\"] \n  43 -> 45 [size =\"33969152\"]\n  44 [size=\"27813888\", alpha=\"0.08\", expect_size=\"13906944\"] \n  45 [size=\"32251904\", alpha=\"0.11\", expect_size=\"16125952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87730176\", alpha=\"0.18\", expect_size=\"43865088\"] \n  1 -> 16 [size =\"43865088\"]\n  1 -> 17 [size =\"43865088\"]\n  1 -> 19 [size =\"43865088\"]\n  1 -> 21 [size =\"43865088\"]\n  1 -> 22 [size =\"43865088\"]\n  1 -> 23 [size =\"43865088\"]\n  2 [size=\"24483840\", alpha=\"0.06\", expect_size=\"12241920\"] \n  2 -> 16 [size =\"12241920\"]\n  2 -> 17 [size =\"12241920\"]\n  2 -> 19 [size =\"12241920\"]\n  2 -> 23 [size =\"12241920\"]\n  3 [size=\"36534272\", alpha=\"0.05\", expect_size=\"18267136\"] \n  3 -> 16 [size =\"18267136\"]\n  3 -> 17 [size =\"18267136\"]\n  3 -> 19 [size =\"18267136\"]\n  3 -> 21 [size =\"18267136\"]\n  3 -> 22 [size =\"18267136\"]\n  4 [size=\"23054336\", alpha=\"0.17\", expect_size=\"11527168\"] \n  4 -> 16 [size =\"11527168\"]\n  4 -> 17 [size =\"11527168\"]\n  4 -> 18 [size =\"11527168\"]\n  4 -> 21 [size =\"11527168\"]\n  4 -> 22 [size =\"11527168\"]\n  5 [size=\"63035392\", alpha=\"0.13\", expect_size=\"31517696\"] \n  5 -> 16 [size =\"31517696\"]\n  5 -> 17 [size =\"31517696\"]\n  5 -> 18 [size =\"31517696\"]\n  5 -> 19 [size =\"31517696\"]\n  5 -> 21 [size =\"31517696\"]\n  5 -> 22 [size =\"31517696\"]\n  6 [size=\"83478528\", alpha=\"0.03\", expect_size=\"41739264\"] \n  6 -> 16 [size =\"41739264\"]\n  6 -> 17 [size =\"41739264\"]\n  6 -> 18 [size =\"41739264\"]\n  6 -> 19 [size =\"41739264\"]\n  6 -> 22 [size =\"41739264\"]\n  7 [size=\"88236032\", alpha=\"0.17\", expect_size=\"44118016\"] \n  7 -> 16 [size =\"44118016\"]\n  7 -> 17 [size =\"44118016\"]\n  7 -> 18 [size =\"44118016\"]\n  7 -> 19 [size =\"44118016\"]\n  7 -> 20 [size =\"44118016\"]\n  7 -> 21 [size =\"44118016\"]\n  7 -> 22 [size =\"44118016\"]\n  8 [size=\"36106240\", alpha=\"0.13\", expect_size=\"18053120\"] \n  8 -> 16 [size =\"18053120\"]\n  8 -> 17 [size =\"18053120\"]\n  8 -> 18 [size =\"18053120\"]\n  8 -> 19 [size =\"18053120\"]\n  8 -> 20 [size =\"18053120\"]\n  8 -> 21 [size =\"18053120\"]\n  8 -> 23 [size =\"18053120\"]\n  9 [size=\"48310272\", alpha=\"0.09\", expect_size=\"24155136\"] \n  9 -> 18 [size =\"24155136\"]\n  9 -> 20 [size =\"24155136\"]\n  9 -> 21 [size =\"24155136\"]\n  9 -> 22 [size =\"24155136\"]\n  10 [size=\"12613632\", alpha=\"0.17\", expect_size=\"6306816\"] \n  10 -> 18 [size =\"6306816\"]\n  10 -> 19 [size =\"6306816\"]\n  10 -> 21 [size =\"6306816\"]\n  11 [size=\"104687616\", alpha=\"0.19\", expect_size=\"52343808\"] \n  11 -> 17 [size =\"52343808\"]\n  11 -> 18 [size =\"52343808\"]\n  11 -> 21 [size =\"52343808\"]\n  12 [size=\"94470144\", alpha=\"0.07\", expect_size=\"47235072\"] \n  12 -> 19 [size =\"47235072\"]\n  12 -> 21 [size =\"47235072\"]\n  13 [size=\"29476864\", alpha=\"0.03\", expect_size=\"14738432\"] \n  13 -> 16 [size =\"14738432\"]\n  13 -> 17 [size =\"14738432\"]\n  13 -> 21 [size =\"14738432\"]\n  13 -> 22 [size =\"14738432\"]\n  14 [size=\"52246528\", alpha=\"0.11\", expect_size=\"26123264\"] \n  14 -> 16 [size =\"26123264\"]\n  14 -> 17 [size =\"26123264\"]\n  14 -> 20 [size =\"26123264\"]\n  14 -> 21 [size =\"26123264\"]\n  14 -> 22 [size =\"26123264\"]\n  15 [size=\"39467008\", alpha=\"0.09\", expect_size=\"19733504\"] \n  15 -> 16 [size =\"19733504\"]\n  15 -> 17 [size =\"19733504\"]\n  15 -> 18 [size =\"19733504\"]\n  15 -> 19 [size =\"19733504\"]\n  15 -> 21 [size =\"19733504\"]\n  16 [size=\"100773888\", alpha=\"0.16\", expect_size=\"50386944\"] \n  16 -> 24 [size =\"50386944\"]\n  16 -> 25 [size =\"50386944\"]\n  16 -> 26 [size =\"50386944\"]\n  16 -> 27 [size =\"50386944\"]\n  16 -> 28 [size =\"50386944\"]\n  16 -> 31 [size =\"50386944\"]\n  16 -> 32 [size =\"50386944\"]\n  16 -> 33 [size =\"50386944\"]\n  16 -> 34 [size =\"50386944\"]\n  16 -> 35 [size =\"50386944\"]\n  17 [size=\"22759424\", alpha=\"0.18\", expect_size=\"11379712\"] \n  17 -> 24 [size =\"11379712\"]\n  17 -> 25 [size =\"11379712\"]\n  17 -> 26 [size =\"11379712\"]\n  17 -> 27 [size =\"11379712\"]\n  17 -> 28 [size =\"11379712\"]\n  17 -> 32 [size =\"11379712\"]\n  17 -> 33 [size =\"11379712\"]\n  17 -> 33 [size =\"11379712\"]\n  18 [size=\"101072896\", alpha=\"0.11\", expect_size=\"50536448\"] \n  18 -> 24 [size =\"50536448\"]\n  18 -> 25 [size =\"50536448\"]\n  18 -> 26 [size =\"50536448\"]\n  18 -> 27 [size =\"50536448\"]\n  18 -> 32 [size =\"50536448\"]\n  18 -> 33 [size =\"50536448\"]\n  18 -> 35 [size =\"50536448\"]\n  19 [size=\"66887680\", alpha=\"0.03\", expect_size=\"33443840\"] \n  19 -> 24 [size =\"33443840\"]\n  19 -> 25 [size =\"33443840\"]\n  19 -> 26 [size =\"33443840\"]\n  19 -> 27 [size =\"33443840\"]\n  19 -> 28 [size =\"33443840\"]\n  19 -> 30 [size =\"33443840\"]\n  19 -> 31 [size =\"33443840\"]\n  19 -> 33 [size =\"33443840\"]\n  19 -> 34 [size =\"33443840\"]\n  19 -> 35 [size =\"33443840\"]\n  20 [size=\"13598720\", alpha=\"0.16\", expect_size=\"6799360\"] \n  20 -> 24 [size =\"6799360\"]\n  20 -> 27 [size =\"6799360\"]\n  20 -> 28 [size =\"6799360\"]\n  20 -> 31 [size =\"6799360\"]\n  20 -> 33 [size =\"6799360\"]\n  20 -> 35 [size =\"6799360\"]\n  21 [size=\"92841984\", alpha=\"0.07\", expect_size=\"46420992\"] \n  21 -> 24 [size =\"46420992\"]\n  21 -> 27 [size =\"46420992\"]\n  21 -> 28 [size =\"46420992\"]\n  21 -> 29 [size =\"46420992\"]\n  21 -> 31 [size =\"46420992\"]\n  21 -> 32 [size =\"46420992\"]\n  21 -> 33 [size =\"46420992\"]\n  21 -> 35 [size =\"46420992\"]\n  22 [size=\"89980928\", alpha=\"0.20\", expect_size=\"44990464\"] \n  22 -> 24 [size =\"44990464\"]\n  22 -> 26 [size =\"44990464\"]\n  22 -> 27 [size =\"44990464\"]\n  22 -> 28 [size =\"44990464\"]\n  22 -> 30 [size =\"44990464\"]\n  22 -> 32 [size =\"44990464\"]\n  22 -> 34 [size =\"44990464\"]\n  23 [size=\"29626368\", alpha=\"0.19\", expect_size=\"14813184\"] \n  23 -> 24 [size =\"14813184\"]\n  23 -> 25 [size =\"14813184\"]\n  23 -> 26 [size =\"14813184\"]\n  23 -> 32 [size =\"14813184\"]\n  23 -> 35 [size =\"14813184\"]\n  24 [size=\"45443072\", alpha=\"0.20\", expect_size=\"22721536\"] \n  24 -> 36 [size =\"22721536\"]\n  24 -> 37 [size =\"22721536\"]\n  24 -> 38 [size =\"22721536\"]\n  24 -> 39 [size =\"22721536\"]\n  24 -> 40 [size =\"22721536\"]\n  24 -> 42 [size =\"22721536\"]\n  24 -> 43 [size =\"22721536\"]\n  24 -> 44 [size =\"22721536\"]\n  25 [size=\"96118784\", alpha=\"0.12\", expect_size=\"48059392\"] \n  25 -> 37 [size =\"48059392\"]\n  25 -> 38 [size =\"48059392\"]\n  25 -> 39 [size =\"48059392\"]\n  25 -> 40 [size =\"48059392\"]\n  25 -> 40 [size =\"48059392\"]\n  25 -> 42 [size =\"48059392\"]\n  26 [size=\"43679744\", alpha=\"0.00\", expect_size=\"21839872\"] \n  26 -> 36 [size =\"21839872\"]\n  26 -> 37 [size =\"21839872\"]\n  26 -> 40 [size =\"21839872\"]\n  26 -> 40 [size =\"21839872\"]\n  26 -> 41 [size =\"21839872\"]\n  26 -> 42 [size =\"21839872\"]\n  26 -> 43 [size =\"21839872\"]\n  26 -> 44 [size =\"21839872\"]\n  27 [size=\"24903680\", alpha=\"0.05\", expect_size=\"12451840\"] \n  27 -> 37 [size =\"12451840\"]\n  27 -> 37 [size =\"12451840\"]\n  27 -> 38 [size =\"12451840\"]\n  27 -> 43 [size =\"12451840\"]\n  27 -> 44 [size =\"12451840\"]\n  28 [size=\"15572992\", alpha=\"0.15\", expect_size=\"7786496\"] \n  28 -> 37 [size =\"7786496\"]\n  28 -> 39 [size =\"7786496\"]\n  28 -> 43 [size =\"7786496\"]\n  28 -> 44 [size =\"7786496\"]\n  29 [size=\"66201600\", alpha=\"0.13\", expect_size=\"33100800\"] \n  29 -> 38 [size =\"33100800\"]\n  29 -> 39 [size =\"33100800\"]\n  29 -> 43 [size =\"33100800\"]\n  29 -> 44 [size =\"33100800\"]\n  30 [size=\"78262272\", alpha=\"0.11\", expect_size=\"39131136\"] \n  30 -> 36 [size =\"39131136\"]\n  30 -> 37 [size =\"39131136\"]\n  30 -> 38 [size =\"39131136\"]\n  30 -> 39 [size =\"39131136\"]\n  30 -> 42 [size =\"39131136\"]\n  30 -> 43 [size =\"39131136\"]\n  30 -> 45 [size =\"39131136\"]\n  31 [size=\"61321216\", alpha=\"0.09\", expect_size=\"30660608\"] \n  31 -> 38 [size =\"30660608\"]\n  31 -> 39 [size =\"30660608\"]\n  31 -> 40 [size =\"30660608\"]\n  31 -> 43 [size =\"30660608\"]\n  31 -> 44 [size =\"30660608\"]\n  31 -> 45 [size =\"30660608\"]\n  31 -> 45 [size =\"30660608\"]\n  32 [size=\"92624896\", alpha=\"0.05\", expect_size=\"46312448\"] \n  32 -> 37 [size =\"46312448\"]\n  32 -> 38 [size =\"46312448\"]\n  32 -> 40 [size =\"46312448\"]\n  32 -> 42 [size =\"46312448\"]\n  32 -> 44 [size =\"46312448\"]\n  32 -> 45 [size =\"46312448\"]\n  33 [size=\"91797504\", alpha=\"0.06\", expect_size=\"45898752\"] \n  33 -> 37 [size =\"45898752\"]\n  33 -> 38 [size =\"45898752\"]\n  33 -> 39 [size =\"45898752\"]\n  33 -> 40 [size =\"45898752\"]\n  33 -> 42 [size =\"45898752\"]\n  33 -> 43 [size =\"45898752\"]\n  34 [size=\"84891648\", alpha=\"0.15\", expect_size=\"42445824\"] \n  34 -> 40 [size =\"42445824\"]\n  34 -> 43 [size =\"42445824\"]\n  34 -> 44 [size =\"42445824\"]\n  35 [size=\"84471808\", alpha=\"0.10\", expect_size=\"42235904\"] \n  35 -> 36 [size =\"42235904\"]\n  35 -> 37 [size =\"42235904\"]\n  35 -> 40 [size =\"42235904\"]\n  35 -> 43 [size =\"42235904\"]\n  35 -> 44 [size =\"42235904\"]\n  35 -> 45 [size =\"42235904\"]\n  36 [size=\"48721920\", alpha=\"0.04\", expect_size=\"24360960\"] \n  37 [size=\"50632704\", alpha=\"0.01\", expect_size=\"25316352\"] \n  38 [size=\"73582592\", alpha=\"0.17\", expect_size=\"36791296\"] \n  39 [size=\"48822272\", alpha=\"0.05\", expect_size=\"24411136\"] \n  40 [size=\"14178304\", alpha=\"0.14\", expect_size=\"7089152\"] \n  41 [size=\"66150400\", alpha=\"0.20\", expect_size=\"33075200\"] \n  42 [size=\"15826944\", alpha=\"0.03\", expect_size=\"7913472\"] \n  43 [size=\"41564160\", alpha=\"0.10\", expect_size=\"20782080\"] \n  44 [size=\"67981312\", alpha=\"0.04\", expect_size=\"33990656\"] \n  45 [size=\"42469376\", alpha=\"0.17\", expect_size=\"21234688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106461867\", alpha=\"0.05\", expect_size=\"31938560\"] \n  1 -> 38 [size =\"31938560\"]\n  1 -> 40 [size =\"31938560\"]\n  1 -> 44 [size =\"31938560\"]\n  2 [size=\"130768213\", alpha=\"0.01\", expect_size=\"39230464\"] \n  2 -> 44 [size =\"39230464\"]\n  3 [size=\"38539947\", alpha=\"0.00\", expect_size=\"11561984\"] \n  3 -> 41 [size =\"11561984\"]\n  3 -> 44 [size =\"11561984\"]\n  4 [size=\"42956800\", alpha=\"0.08\", expect_size=\"12887040\"] \n  4 -> 38 [size =\"12887040\"]\n  4 -> 40 [size =\"12887040\"]\n  4 -> 41 [size =\"12887040\"]\n  4 -> 42 [size =\"12887040\"]\n  4 -> 43 [size =\"12887040\"]\n  4 -> 44 [size =\"12887040\"]\n  5 [size=\"160102400\", alpha=\"0.12\", expect_size=\"48030720\"] \n  5 -> 40 [size =\"48030720\"]\n  5 -> 41 [size =\"48030720\"]\n  5 -> 44 [size =\"48030720\"]\n  5 -> 45 [size =\"48030720\"]\n  6 [size=\"159040853\", alpha=\"0.02\", expect_size=\"47712256\"] \n  6 -> 38 [size =\"47712256\"]\n  6 -> 40 [size =\"47712256\"]\n  6 -> 44 [size =\"47712256\"]\n  7 [size=\"139967147\", alpha=\"0.01\", expect_size=\"41990144\"] \n  7 -> 40 [size =\"41990144\"]\n  8 [size=\"86828373\", alpha=\"0.13\", expect_size=\"26048512\"] \n  8 -> 39 [size =\"26048512\"]\n  8 -> 40 [size =\"26048512\"]\n  8 -> 41 [size =\"26048512\"]\n  8 -> 44 [size =\"26048512\"]\n  9 [size=\"22367573\", alpha=\"0.18\", expect_size=\"6710272\"] \n  9 -> 38 [size =\"6710272\"]\n  9 -> 40 [size =\"6710272\"]\n  9 -> 41 [size =\"6710272\"]\n  9 -> 43 [size =\"6710272\"]\n  10 [size=\"150753280\", alpha=\"0.16\", expect_size=\"45225984\"] \n  10 -> 40 [size =\"45225984\"]\n  10 -> 43 [size =\"45225984\"]\n  11 [size=\"124207787\", alpha=\"0.10\", expect_size=\"37262336\"] \n  11 -> 40 [size =\"37262336\"]\n  11 -> 44 [size =\"37262336\"]\n  12 [size=\"162239147\", alpha=\"0.09\", expect_size=\"48671744\"] \n  12 -> 38 [size =\"48671744\"]\n  12 -> 40 [size =\"48671744\"]\n  12 -> 41 [size =\"48671744\"]\n  12 -> 44 [size =\"48671744\"]\n  12 -> 45 [size =\"48671744\"]\n  13 [size=\"170656427\", alpha=\"0.08\", expect_size=\"51196928\"] \n  13 -> 38 [size =\"51196928\"]\n  13 -> 40 [size =\"51196928\"]\n  13 -> 42 [size =\"51196928\"]\n  13 -> 43 [size =\"51196928\"]\n  13 -> 44 [size =\"51196928\"]\n  14 [size=\"172270933\", alpha=\"0.09\", expect_size=\"51681280\"] \n  14 -> 38 [size =\"51681280\"]\n  14 -> 41 [size =\"51681280\"]\n  15 [size=\"78912853\", alpha=\"0.09\", expect_size=\"23673856\"] \n  15 -> 38 [size =\"23673856\"]\n  15 -> 41 [size =\"23673856\"]\n  15 -> 42 [size =\"23673856\"]\n  15 -> 44 [size =\"23673856\"]\n  15 -> 45 [size =\"23673856\"]\n  16 [size=\"19903147\", alpha=\"0.19\", expect_size=\"5970944\"] \n  16 -> 38 [size =\"5970944\"]\n  16 -> 39 [size =\"5970944\"]\n  16 -> 44 [size =\"5970944\"]\n  17 [size=\"34457600\", alpha=\"0.10\", expect_size=\"10337280\"] \n  17 -> 38 [size =\"10337280\"]\n  17 -> 40 [size =\"10337280\"]\n  17 -> 44 [size =\"10337280\"]\n  18 [size=\"45864960\", alpha=\"0.05\", expect_size=\"13759488\"] \n  18 -> 40 [size =\"13759488\"]\n  18 -> 42 [size =\"13759488\"]\n  18 -> 44 [size =\"13759488\"]\n  19 [size=\"150541653\", alpha=\"0.02\", expect_size=\"45162496\"] \n  19 -> 38 [size =\"45162496\"]\n  19 -> 40 [size =\"45162496\"]\n  19 -> 42 [size =\"45162496\"]\n  20 [size=\"134720853\", alpha=\"0.20\", expect_size=\"40416256\"] \n  20 -> 40 [size =\"40416256\"]\n  20 -> 42 [size =\"40416256\"]\n  20 -> 44 [size =\"40416256\"]\n  21 [size=\"103215787\", alpha=\"0.08\", expect_size=\"30964736\"] \n  21 -> 40 [size =\"30964736\"]\n  21 -> 44 [size =\"30964736\"]\n  22 [size=\"26760533\", alpha=\"0.12\", expect_size=\"8028160\"] \n  22 -> 44 [size =\"8028160\"]\n  23 [size=\"94825813\", alpha=\"0.17\", expect_size=\"28447744\"] \n  23 -> 41 [size =\"28447744\"]\n  24 [size=\"158822400\", alpha=\"0.07\", expect_size=\"47646720\"] \n  24 -> 40 [size =\"47646720\"]\n  24 -> 41 [size =\"47646720\"]\n  24 -> 44 [size =\"47646720\"]\n  24 -> 45 [size =\"47646720\"]\n  25 [size=\"76014933\", alpha=\"0.14\", expect_size=\"22804480\"] \n  26 [size=\"149248000\", alpha=\"0.19\", expect_size=\"44774400\"] \n  26 -> 38 [size =\"44774400\"]\n  26 -> 40 [size =\"44774400\"]\n  26 -> 45 [size =\"44774400\"]\n  27 [size=\"137547093\", alpha=\"0.20\", expect_size=\"41264128\"] \n  27 -> 41 [size =\"41264128\"]\n  28 [size=\"57651200\", alpha=\"0.10\", expect_size=\"17295360\"] \n  28 -> 41 [size =\"17295360\"]\n  28 -> 44 [size =\"17295360\"]\n  29 [size=\"100864000\", alpha=\"0.20\", expect_size=\"30259200\"] \n  29 -> 38 [size =\"30259200\"]\n  29 -> 40 [size =\"30259200\"]\n  29 -> 41 [size =\"30259200\"]\n  29 -> 43 [size =\"30259200\"]\n  30 [size=\"116862293\", alpha=\"0.07\", expect_size=\"35058688\"] \n  30 -> 41 [size =\"35058688\"]\n  31 [size=\"113148587\", alpha=\"0.08\", expect_size=\"33944576\"] \n  31 -> 40 [size =\"33944576\"]\n  31 -> 41 [size =\"33944576\"]\n  32 [size=\"21418667\", alpha=\"0.07\", expect_size=\"6425600\"] \n  32 -> 40 [size =\"6425600\"]\n  32 -> 44 [size =\"6425600\"]\n  33 [size=\"112254293\", alpha=\"0.06\", expect_size=\"33676288\"] \n  33 -> 40 [size =\"33676288\"]\n  33 -> 44 [size =\"33676288\"]\n  34 [size=\"92146347\", alpha=\"0.04\", expect_size=\"27643904\"] \n  34 -> 38 [size =\"27643904\"]\n  34 -> 40 [size =\"27643904\"]\n  34 -> 44 [size =\"27643904\"]\n  35 [size=\"143865173\", alpha=\"0.10\", expect_size=\"43159552\"] \n  35 -> 38 [size =\"43159552\"]\n  35 -> 40 [size =\"43159552\"]\n  35 -> 44 [size =\"43159552\"]\n  35 -> 45 [size =\"43159552\"]\n  36 [size=\"95470933\", alpha=\"0.17\", expect_size=\"28641280\"] \n  36 -> 40 [size =\"28641280\"]\n  36 -> 42 [size =\"28641280\"]\n  36 -> 44 [size =\"28641280\"]\n  36 -> 45 [size =\"28641280\"]\n  37 [size=\"88521387\", alpha=\"0.06\", expect_size=\"26556416\"] \n  37 -> 38 [size =\"26556416\"]\n  37 -> 40 [size =\"26556416\"]\n  37 -> 41 [size =\"26556416\"]\n  37 -> 42 [size =\"26556416\"]\n  37 -> 44 [size =\"26556416\"]\n  38 [size=\"88231253\", alpha=\"0.18\", expect_size=\"26469376\"] \n  39 [size=\"163949227\", alpha=\"0.07\", expect_size=\"49184768\"] \n  40 [size=\"163287040\", alpha=\"0.11\", expect_size=\"48986112\"] \n  41 [size=\"62231893\", alpha=\"0.06\", expect_size=\"18669568\"] \n  42 [size=\"124811947\", alpha=\"0.02\", expect_size=\"37443584\"] \n  43 [size=\"23920640\", alpha=\"0.08\", expect_size=\"7176192\"] \n  44 [size=\"70034773\", alpha=\"0.12\", expect_size=\"21010432\"] \n  45 [size=\"103369387\", alpha=\"0.04\", expect_size=\"31010816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13570048\", alpha=\"0.18\", expect_size=\"6785024\"] \n  1 -> 2 [size =\"6785024\"]\n  2 [size=\"53565440\", alpha=\"0.06\", expect_size=\"26782720\"] \n  2 -> 3 [size =\"26782720\"]\n  3 [size=\"92995584\", alpha=\"0.05\", expect_size=\"46497792\"] \n  3 -> 4 [size =\"46497792\"]\n  4 [size=\"62453760\", alpha=\"0.07\", expect_size=\"31226880\"] \n  4 -> 5 [size =\"31226880\"]\n  5 [size=\"57024512\", alpha=\"0.19\", expect_size=\"28512256\"] \n  5 -> 6 [size =\"28512256\"]\n  6 [size=\"53739520\", alpha=\"0.03\", expect_size=\"26869760\"] \n  6 -> 7 [size =\"26869760\"]\n  7 [size=\"17922048\", alpha=\"0.03\", expect_size=\"8961024\"] \n  7 -> 8 [size =\"8961024\"]\n  8 [size=\"39415808\", alpha=\"0.17\", expect_size=\"19707904\"] \n  8 -> 9 [size =\"19707904\"]\n  9 [size=\"74164224\", alpha=\"0.13\", expect_size=\"37082112\"] \n  9 -> 10 [size =\"37082112\"]\n  10 [size=\"64120832\", alpha=\"0.07\", expect_size=\"32060416\"] \n  10 -> 11 [size =\"32060416\"]\n  11 [size=\"101763072\", alpha=\"0.18\", expect_size=\"50881536\"] \n  11 -> 12 [size =\"50881536\"]\n  12 [size=\"90552320\", alpha=\"0.07\", expect_size=\"45276160\"] \n  12 -> 13 [size =\"45276160\"]\n  13 [size=\"23595008\", alpha=\"0.19\", expect_size=\"11797504\"] \n  13 -> 14 [size =\"11797504\"]\n  14 [size=\"48156672\", alpha=\"0.05\", expect_size=\"24078336\"] \n  14 -> 15 [size =\"24078336\"]\n  15 [size=\"83474432\", alpha=\"0.06\", expect_size=\"41737216\"] \n  15 -> 16 [size =\"41737216\"]\n  16 [size=\"78415872\", alpha=\"0.18\", expect_size=\"39207936\"] \n  16 -> 17 [size =\"39207936\"]\n  17 [size=\"90968064\", alpha=\"0.06\", expect_size=\"45484032\"] \n  17 -> 18 [size =\"45484032\"]\n  18 [size=\"12730368\", alpha=\"0.12\", expect_size=\"6365184\"] \n  18 -> 19 [size =\"6365184\"]\n  19 [size=\"92575744\", alpha=\"0.02\", expect_size=\"46287872\"] \n  19 -> 20 [size =\"46287872\"]\n  20 [size=\"60524544\", alpha=\"0.14\", expect_size=\"30262272\"] \n  20 -> 21 [size =\"30262272\"]\n  21 [size=\"92499968\", alpha=\"0.07\", expect_size=\"46249984\"] \n  21 -> 22 [size =\"46249984\"]\n  22 [size=\"85200896\", alpha=\"0.09\", expect_size=\"42600448\"] \n  22 -> 23 [size =\"42600448\"]\n  23 [size=\"23480320\", alpha=\"0.09\", expect_size=\"11740160\"] \n  23 -> 24 [size =\"11740160\"]\n  24 [size=\"17465344\", alpha=\"0.20\", expect_size=\"8732672\"] \n  24 -> 25 [size =\"8732672\"]\n  25 [size=\"41912320\", alpha=\"0.00\", expect_size=\"20956160\"] \n  25 -> 26 [size =\"20956160\"]\n  26 [size=\"69187584\", alpha=\"0.10\", expect_size=\"34593792\"] \n  26 -> 27 [size =\"34593792\"]\n  27 [size=\"60979200\", alpha=\"0.01\", expect_size=\"30489600\"] \n  27 -> 28 [size =\"30489600\"]\n  28 [size=\"89290752\", alpha=\"0.19\", expect_size=\"44645376\"] \n  28 -> 29 [size =\"44645376\"]\n  29 [size=\"52424704\", alpha=\"0.10\", expect_size=\"26212352\"] \n  29 -> 30 [size =\"26212352\"]\n  30 [size=\"60266496\", alpha=\"0.12\", expect_size=\"30133248\"] \n  30 -> 31 [size =\"30133248\"]\n  31 [size=\"32288768\", alpha=\"0.14\", expect_size=\"16144384\"] \n  31 -> 32 [size =\"16144384\"]\n  32 [size=\"65949696\", alpha=\"0.12\", expect_size=\"32974848\"] \n  32 -> 33 [size =\"32974848\"]\n  33 [size=\"15587328\", alpha=\"0.14\", expect_size=\"7793664\"] \n  33 -> 34 [size =\"7793664\"]\n  34 [size=\"58081280\", alpha=\"0.03\", expect_size=\"29040640\"] \n  34 -> 35 [size =\"29040640\"]\n  35 [size=\"56659968\", alpha=\"0.08\", expect_size=\"28329984\"] \n  35 -> 36 [size =\"28329984\"]\n  36 [size=\"57862144\", alpha=\"0.07\", expect_size=\"28931072\"] \n  36 -> 37 [size =\"28931072\"]\n  37 [size=\"10567680\", alpha=\"0.03\", expect_size=\"5283840\"] \n  37 -> 38 [size =\"5283840\"]\n  38 [size=\"16586752\", alpha=\"0.00\", expect_size=\"8293376\"] \n  38 -> 39 [size =\"8293376\"]\n  39 [size=\"104851456\", alpha=\"0.14\", expect_size=\"52425728\"] \n  39 -> 40 [size =\"52425728\"]\n  40 [size=\"55926784\", alpha=\"0.19\", expect_size=\"27963392\"] \n  40 -> 41 [size =\"27963392\"]\n  41 [size=\"17815552\", alpha=\"0.01\", expect_size=\"8907776\"] \n  41 -> 42 [size =\"8907776\"]\n  42 [size=\"81799168\", alpha=\"0.19\", expect_size=\"40899584\"] \n  42 -> 43 [size =\"40899584\"]\n  43 [size=\"44830720\", alpha=\"0.20\", expect_size=\"22415360\"] \n  43 -> 44 [size =\"22415360\"]\n  44 [size=\"14389248\", alpha=\"0.02\", expect_size=\"7194624\"] \n  44 -> 45 [size =\"7194624\"]\n  45 [size=\"28147712\", alpha=\"0.11\", expect_size=\"14073856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86405120\", alpha=\"0.16\", expect_size=\"43202560\"] \n  1 -> 6 [size =\"43202560\"]\n  1 -> 10 [size =\"43202560\"]\n  1 -> 11 [size =\"43202560\"]\n  2 [size=\"25759744\", alpha=\"0.17\", expect_size=\"12879872\"] \n  2 -> 6 [size =\"12879872\"]\n  2 -> 7 [size =\"12879872\"]\n  2 -> 8 [size =\"12879872\"]\n  2 -> 10 [size =\"12879872\"]\n  3 [size=\"87754752\", alpha=\"0.09\", expect_size=\"43877376\"] \n  3 -> 6 [size =\"43877376\"]\n  3 -> 7 [size =\"43877376\"]\n  3 -> 10 [size =\"43877376\"]\n  3 -> 11 [size =\"43877376\"]\n  4 [size=\"78329856\", alpha=\"0.11\", expect_size=\"39164928\"] \n  4 -> 6 [size =\"39164928\"]\n  4 -> 8 [size =\"39164928\"]\n  4 -> 10 [size =\"39164928\"]\n  5 [size=\"35674112\", alpha=\"0.18\", expect_size=\"17837056\"] \n  5 -> 6 [size =\"17837056\"]\n  5 -> 7 [size =\"17837056\"]\n  5 -> 9 [size =\"17837056\"]\n  5 -> 10 [size =\"17837056\"]\n  5 -> 11 [size =\"17837056\"]\n  6 [size=\"27623424\", alpha=\"0.17\", expect_size=\"13811712\"] \n  6 -> 13 [size =\"13811712\"]\n  6 -> 14 [size =\"13811712\"]\n  6 -> 15 [size =\"13811712\"]\n  7 [size=\"65777664\", alpha=\"0.12\", expect_size=\"32888832\"] \n  7 -> 14 [size =\"32888832\"]\n  8 [size=\"87052288\", alpha=\"0.11\", expect_size=\"43526144\"] \n  8 -> 13 [size =\"43526144\"]\n  8 -> 14 [size =\"43526144\"]\n  8 -> 15 [size =\"43526144\"]\n  9 [size=\"18264064\", alpha=\"0.01\", expect_size=\"9132032\"] \n  9 -> 12 [size =\"9132032\"]\n  9 -> 13 [size =\"9132032\"]\n  9 -> 14 [size =\"9132032\"]\n  10 [size=\"27453440\", alpha=\"0.05\", expect_size=\"13726720\"] \n  10 -> 14 [size =\"13726720\"]\n  11 [size=\"60348416\", alpha=\"0.16\", expect_size=\"30174208\"] \n  11 -> 13 [size =\"30174208\"]\n  11 -> 14 [size =\"30174208\"]\n  11 -> 16 [size =\"30174208\"]\n  12 [size=\"41562112\", alpha=\"0.18\", expect_size=\"20781056\"] \n  12 -> 17 [size =\"20781056\"]\n  12 -> 18 [size =\"20781056\"]\n  12 -> 21 [size =\"20781056\"]\n  13 [size=\"28631040\", alpha=\"0.15\", expect_size=\"14315520\"] \n  13 -> 19 [size =\"14315520\"]\n  13 -> 20 [size =\"14315520\"]\n  13 -> 22 [size =\"14315520\"]\n  14 [size=\"70627328\", alpha=\"0.19\", expect_size=\"35313664\"] \n  14 -> 18 [size =\"35313664\"]\n  14 -> 20 [size =\"35313664\"]\n  15 [size=\"28524544\", alpha=\"0.17\", expect_size=\"14262272\"] \n  15 -> 17 [size =\"14262272\"]\n  15 -> 20 [size =\"14262272\"]\n  15 -> 22 [size =\"14262272\"]\n  16 [size=\"19873792\", alpha=\"0.08\", expect_size=\"9936896\"] \n  16 -> 17 [size =\"9936896\"]\n  16 -> 18 [size =\"9936896\"]\n  16 -> 20 [size =\"9936896\"]\n  16 -> 22 [size =\"9936896\"]\n  17 [size=\"100077568\", alpha=\"0.13\", expect_size=\"50038784\"] \n  17 -> 23 [size =\"50038784\"]\n  17 -> 24 [size =\"50038784\"]\n  17 -> 26 [size =\"50038784\"]\n  17 -> 27 [size =\"50038784\"]\n  18 [size=\"60301312\", alpha=\"0.04\", expect_size=\"30150656\"] \n  18 -> 25 [size =\"30150656\"]\n  18 -> 26 [size =\"30150656\"]\n  19 [size=\"18526208\", alpha=\"0.16\", expect_size=\"9263104\"] \n  19 -> 26 [size =\"9263104\"]\n  20 [size=\"21323776\", alpha=\"0.04\", expect_size=\"10661888\"] \n  20 -> 25 [size =\"10661888\"]\n  20 -> 26 [size =\"10661888\"]\n  21 [size=\"45529088\", alpha=\"0.08\", expect_size=\"22764544\"] \n  21 -> 23 [size =\"22764544\"]\n  21 -> 25 [size =\"22764544\"]\n  21 -> 26 [size =\"22764544\"]\n  21 -> 27 [size =\"22764544\"]\n  22 [size=\"26327040\", alpha=\"0.16\", expect_size=\"13163520\"] \n  22 -> 23 [size =\"13163520\"]\n  22 -> 24 [size =\"13163520\"]\n  22 -> 25 [size =\"13163520\"]\n  22 -> 26 [size =\"13163520\"]\n  22 -> 27 [size =\"13163520\"]\n  23 [size=\"16922624\", alpha=\"0.00\", expect_size=\"8461312\"] \n  23 -> 30 [size =\"8461312\"]\n  23 -> 31 [size =\"8461312\"]\n  23 -> 32 [size =\"8461312\"]\n  24 [size=\"86753280\", alpha=\"0.19\", expect_size=\"43376640\"] \n  24 -> 28 [size =\"43376640\"]\n  24 -> 29 [size =\"43376640\"]\n  24 -> 30 [size =\"43376640\"]\n  24 -> 31 [size =\"43376640\"]\n  25 [size=\"83537920\", alpha=\"0.02\", expect_size=\"41768960\"] \n  25 -> 28 [size =\"41768960\"]\n  25 -> 29 [size =\"41768960\"]\n  25 -> 30 [size =\"41768960\"]\n  25 -> 31 [size =\"41768960\"]\n  26 [size=\"67782656\", alpha=\"0.10\", expect_size=\"33891328\"] \n  26 -> 28 [size =\"33891328\"]\n  26 -> 29 [size =\"33891328\"]\n  26 -> 30 [size =\"33891328\"]\n  26 -> 31 [size =\"33891328\"]\n  27 [size=\"10766336\", alpha=\"0.09\", expect_size=\"5383168\"] \n  27 -> 29 [size =\"5383168\"]\n  27 -> 29 [size =\"5383168\"]\n  27 -> 30 [size =\"5383168\"]\n  27 -> 31 [size =\"5383168\"]\n  27 -> 32 [size =\"5383168\"]\n  28 [size=\"71294976\", alpha=\"0.04\", expect_size=\"35647488\"] \n  28 -> 34 [size =\"35647488\"]\n  28 -> 34 [size =\"35647488\"]\n  28 -> 35 [size =\"35647488\"]\n  28 -> 36 [size =\"35647488\"]\n  28 -> 37 [size =\"35647488\"]\n  28 -> 38 [size =\"35647488\"]\n  29 [size=\"91662336\", alpha=\"0.01\", expect_size=\"45831168\"] \n  29 -> 36 [size =\"45831168\"]\n  29 -> 37 [size =\"45831168\"]\n  29 -> 38 [size =\"45831168\"]\n  30 [size=\"70813696\", alpha=\"0.02\", expect_size=\"35406848\"] \n  30 -> 35 [size =\"35406848\"]\n  30 -> 37 [size =\"35406848\"]\n  30 -> 38 [size =\"35406848\"]\n  31 [size=\"89513984\", alpha=\"0.13\", expect_size=\"44756992\"] \n  31 -> 36 [size =\"44756992\"]\n  31 -> 37 [size =\"44756992\"]\n  31 -> 38 [size =\"44756992\"]\n  32 [size=\"34942976\", alpha=\"0.11\", expect_size=\"17471488\"] \n  32 -> 33 [size =\"17471488\"]\n  32 -> 34 [size =\"17471488\"]\n  32 -> 37 [size =\"17471488\"]\n  32 -> 38 [size =\"17471488\"]\n  33 [size=\"16748544\", alpha=\"0.13\", expect_size=\"8374272\"] \n  33 -> 40 [size =\"8374272\"]\n  33 -> 43 [size =\"8374272\"]\n  34 [size=\"17827840\", alpha=\"0.07\", expect_size=\"8913920\"] \n  34 -> 40 [size =\"8913920\"]\n  34 -> 41 [size =\"8913920\"]\n  35 [size=\"11653120\", alpha=\"0.05\", expect_size=\"5826560\"] \n  35 -> 39 [size =\"5826560\"]\n  35 -> 42 [size =\"5826560\"]\n  36 [size=\"23416832\", alpha=\"0.05\", expect_size=\"11708416\"] \n  36 -> 40 [size =\"11708416\"]\n  37 [size=\"70256640\", alpha=\"0.05\", expect_size=\"35128320\"] \n  37 -> 39 [size =\"35128320\"]\n  37 -> 42 [size =\"35128320\"]\n  37 -> 43 [size =\"35128320\"]\n  38 [size=\"18720768\", alpha=\"0.14\", expect_size=\"9360384\"] \n  38 -> 43 [size =\"9360384\"]\n  39 [size=\"39749632\", alpha=\"0.06\", expect_size=\"19874816\"] \n  40 [size=\"46751744\", alpha=\"0.19\", expect_size=\"23375872\"] \n  40 -> 44 [size =\"23375872\"]\n  40 -> 45 [size =\"23375872\"]\n  41 [size=\"56692736\", alpha=\"0.01\", expect_size=\"28346368\"] \n  42 [size=\"25065472\", alpha=\"0.05\", expect_size=\"12532736\"] \n  43 [size=\"77320192\", alpha=\"0.11\", expect_size=\"38660096\"] \n  43 -> 44 [size =\"38660096\"]\n  44 [size=\"42858496\", alpha=\"0.13\", expect_size=\"21429248\"] \n  45 [size=\"76195840\", alpha=\"0.11\", expect_size=\"38097920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20303360\", alpha=\"0.19\", expect_size=\"8121344\"] \n  1 -> 4 [size =\"8121344\"]\n  1 -> 5 [size =\"8121344\"]\n  1 -> 6 [size =\"8121344\"]\n  2 [size=\"96878080\", alpha=\"0.15\", expect_size=\"38751232\"] \n  2 -> 7 [size =\"38751232\"]\n  3 [size=\"37473280\", alpha=\"0.12\", expect_size=\"14989312\"] \n  3 -> 5 [size =\"14989312\"]\n  3 -> 7 [size =\"14989312\"]\n  4 [size=\"19543040\", alpha=\"0.08\", expect_size=\"7817216\"] \n  4 -> 12 [size =\"7817216\"]\n  5 [size=\"46028800\", alpha=\"0.03\", expect_size=\"18411520\"] \n  5 -> 8 [size =\"18411520\"]\n  6 [size=\"75560960\", alpha=\"0.10\", expect_size=\"30224384\"] \n  6 -> 9 [size =\"30224384\"]\n  6 -> 10 [size =\"30224384\"]\n  7 [size=\"65093120\", alpha=\"0.01\", expect_size=\"26037248\"] \n  7 -> 10 [size =\"26037248\"]\n  7 -> 11 [size =\"26037248\"]\n  7 -> 12 [size =\"26037248\"]\n  8 [size=\"70755840\", alpha=\"0.09\", expect_size=\"28302336\"] \n  8 -> 14 [size =\"28302336\"]\n  9 [size=\"86292480\", alpha=\"0.09\", expect_size=\"34516992\"] \n  10 [size=\"36874240\", alpha=\"0.19\", expect_size=\"14749696\"] \n  10 -> 13 [size =\"14749696\"]\n  10 -> 15 [size =\"14749696\"]\n  11 [size=\"93191680\", alpha=\"0.01\", expect_size=\"37276672\"] \n  11 -> 15 [size =\"37276672\"]\n  11 -> 15 [size =\"37276672\"]\n  12 [size=\"89487360\", alpha=\"0.08\", expect_size=\"35794944\"] \n  13 [size=\"59128320\", alpha=\"0.17\", expect_size=\"23651328\"] \n  13 -> 16 [size =\"23651328\"]\n  13 -> 17 [size =\"23651328\"]\n  13 -> 20 [size =\"23651328\"]\n  13 -> 22 [size =\"23651328\"]\n  14 [size=\"13186560\", alpha=\"0.11\", expect_size=\"5274624\"] \n  14 -> 19 [size =\"5274624\"]\n  14 -> 23 [size =\"5274624\"]\n  15 [size=\"58150400\", alpha=\"0.04\", expect_size=\"23260160\"] \n  15 -> 17 [size =\"23260160\"]\n  15 -> 18 [size =\"23260160\"]\n  15 -> 20 [size =\"23260160\"]\n  15 -> 21 [size =\"23260160\"]\n  15 -> 23 [size =\"23260160\"]\n  16 [size=\"75507200\", alpha=\"0.10\", expect_size=\"30202880\"] \n  16 -> 24 [size =\"30202880\"]\n  17 [size=\"14607360\", alpha=\"0.04\", expect_size=\"5842944\"] \n  17 -> 25 [size =\"5842944\"]\n  18 [size=\"20584960\", alpha=\"0.04\", expect_size=\"8233984\"] \n  19 [size=\"71001600\", alpha=\"0.01\", expect_size=\"28400640\"] \n  19 -> 25 [size =\"28400640\"]\n  20 [size=\"126049280\", alpha=\"0.05\", expect_size=\"50419712\"] \n  20 -> 24 [size =\"50419712\"]\n  21 [size=\"117360640\", alpha=\"0.09\", expect_size=\"46944256\"] \n  21 -> 26 [size =\"46944256\"]\n  22 [size=\"123397120\", alpha=\"0.08\", expect_size=\"49358848\"] \n  23 [size=\"52311040\", alpha=\"0.11\", expect_size=\"20924416\"] \n  24 [size=\"37081600\", alpha=\"0.15\", expect_size=\"14832640\"] \n  24 -> 27 [size =\"14832640\"]\n  24 -> 28 [size =\"14832640\"]\n  24 -> 31 [size =\"14832640\"]\n  25 [size=\"104266240\", alpha=\"0.05\", expect_size=\"41706496\"] \n  25 -> 29 [size =\"41706496\"]\n  25 -> 32 [size =\"41706496\"]\n  26 [size=\"130247680\", alpha=\"0.05\", expect_size=\"52099072\"] \n  26 -> 27 [size =\"52099072\"]\n  26 -> 30 [size =\"52099072\"]\n  27 [size=\"70085120\", alpha=\"0.14\", expect_size=\"28034048\"] \n  27 -> 35 [size =\"28034048\"]\n  27 -> 36 [size =\"28034048\"]\n  28 [size=\"93319680\", alpha=\"0.13\", expect_size=\"37327872\"] \n  28 -> 36 [size =\"37327872\"]\n  29 [size=\"118046720\", alpha=\"0.04\", expect_size=\"47218688\"] \n  29 -> 36 [size =\"47218688\"]\n  30 [size=\"125547520\", alpha=\"0.20\", expect_size=\"50219008\"] \n  30 -> 34 [size =\"50219008\"]\n  31 [size=\"35415040\", alpha=\"0.09\", expect_size=\"14166016\"] \n  32 [size=\"90772480\", alpha=\"0.10\", expect_size=\"36308992\"] \n  32 -> 33 [size =\"36308992\"]\n  32 -> 34 [size =\"36308992\"]\n  33 [size=\"21504000\", alpha=\"0.00\", expect_size=\"8601600\"] \n  33 -> 40 [size =\"8601600\"]\n  33 -> 41 [size =\"8601600\"]\n  34 [size=\"87900160\", alpha=\"0.10\", expect_size=\"35160064\"] \n  34 -> 39 [size =\"35160064\"]\n  35 [size=\"60472320\", alpha=\"0.07\", expect_size=\"24188928\"] \n  35 -> 37 [size =\"24188928\"]\n  35 -> 38 [size =\"24188928\"]\n  35 -> 39 [size =\"24188928\"]\n  36 [size=\"90106880\", alpha=\"0.15\", expect_size=\"36042752\"] \n  36 -> 37 [size =\"36042752\"]\n  36 -> 41 [size =\"36042752\"]\n  37 [size=\"121292800\", alpha=\"0.03\", expect_size=\"48517120\"] \n  37 -> 43 [size =\"48517120\"]\n  37 -> 44 [size =\"48517120\"]\n  37 -> 45 [size =\"48517120\"]\n  38 [size=\"88056320\", alpha=\"0.12\", expect_size=\"35222528\"] \n  38 -> 43 [size =\"35222528\"]\n  39 [size=\"48043520\", alpha=\"0.11\", expect_size=\"19217408\"] \n  39 -> 45 [size =\"19217408\"]\n  40 [size=\"74442240\", alpha=\"0.10\", expect_size=\"29776896\"] \n  40 -> 45 [size =\"29776896\"]\n  41 [size=\"73052160\", alpha=\"0.06\", expect_size=\"29220864\"] \n  41 -> 42 [size =\"29220864\"]\n  42 [size=\"123962880\", alpha=\"0.01\", expect_size=\"49585152\"] \n  43 [size=\"67624960\", alpha=\"0.02\", expect_size=\"27049984\"] \n  44 [size=\"68026880\", alpha=\"0.07\", expect_size=\"27210752\"] \n  45 [size=\"125245440\", alpha=\"0.08\", expect_size=\"50098176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77221888\", alpha=\"0.06\", expect_size=\"38610944\"] \n  1 -> 12 [size =\"38610944\"]\n  1 -> 13 [size =\"38610944\"]\n  1 -> 14 [size =\"38610944\"]\n  1 -> 15 [size =\"38610944\"]\n  1 -> 16 [size =\"38610944\"]\n  1 -> 17 [size =\"38610944\"]\n  1 -> 19 [size =\"38610944\"]\n  1 -> 21 [size =\"38610944\"]\n  2 [size=\"95916032\", alpha=\"0.03\", expect_size=\"47958016\"] \n  2 -> 12 [size =\"47958016\"]\n  2 -> 13 [size =\"47958016\"]\n  2 -> 14 [size =\"47958016\"]\n  2 -> 15 [size =\"47958016\"]\n  2 -> 16 [size =\"47958016\"]\n  2 -> 19 [size =\"47958016\"]\n  2 -> 19 [size =\"47958016\"]\n  2 -> 21 [size =\"47958016\"]\n  3 [size=\"64800768\", alpha=\"0.15\", expect_size=\"32400384\"] \n  3 -> 12 [size =\"32400384\"]\n  3 -> 13 [size =\"32400384\"]\n  3 -> 14 [size =\"32400384\"]\n  3 -> 15 [size =\"32400384\"]\n  3 -> 17 [size =\"32400384\"]\n  3 -> 19 [size =\"32400384\"]\n  4 [size=\"86714368\", alpha=\"0.03\", expect_size=\"43357184\"] \n  4 -> 12 [size =\"43357184\"]\n  4 -> 13 [size =\"43357184\"]\n  4 -> 14 [size =\"43357184\"]\n  4 -> 15 [size =\"43357184\"]\n  4 -> 20 [size =\"43357184\"]\n  4 -> 21 [size =\"43357184\"]\n  5 [size=\"16324608\", alpha=\"0.20\", expect_size=\"8162304\"] \n  5 -> 12 [size =\"8162304\"]\n  5 -> 13 [size =\"8162304\"]\n  5 -> 14 [size =\"8162304\"]\n  5 -> 18 [size =\"8162304\"]\n  5 -> 20 [size =\"8162304\"]\n  6 [size=\"92391424\", alpha=\"0.10\", expect_size=\"46195712\"] \n  6 -> 12 [size =\"46195712\"]\n  6 -> 20 [size =\"46195712\"]\n  7 [size=\"26660864\", alpha=\"0.12\", expect_size=\"13330432\"] \n  7 -> 12 [size =\"13330432\"]\n  7 -> 13 [size =\"13330432\"]\n  7 -> 18 [size =\"13330432\"]\n  7 -> 19 [size =\"13330432\"]\n  7 -> 20 [size =\"13330432\"]\n  7 -> 21 [size =\"13330432\"]\n  8 [size=\"54939648\", alpha=\"0.07\", expect_size=\"27469824\"] \n  8 -> 12 [size =\"27469824\"]\n  8 -> 13 [size =\"27469824\"]\n  8 -> 14 [size =\"27469824\"]\n  8 -> 17 [size =\"27469824\"]\n  8 -> 18 [size =\"27469824\"]\n  8 -> 19 [size =\"27469824\"]\n  8 -> 21 [size =\"27469824\"]\n  9 [size=\"67516416\", alpha=\"0.05\", expect_size=\"33758208\"] \n  9 -> 16 [size =\"33758208\"]\n  9 -> 19 [size =\"33758208\"]\n  10 [size=\"91994112\", alpha=\"0.15\", expect_size=\"45997056\"] \n  10 -> 14 [size =\"45997056\"]\n  10 -> 19 [size =\"45997056\"]\n  10 -> 21 [size =\"45997056\"]\n  11 [size=\"69869568\", alpha=\"0.04\", expect_size=\"34934784\"] \n  11 -> 13 [size =\"34934784\"]\n  11 -> 14 [size =\"34934784\"]\n  11 -> 16 [size =\"34934784\"]\n  11 -> 21 [size =\"34934784\"]\n  12 [size=\"97769472\", alpha=\"0.06\", expect_size=\"48884736\"] \n  12 -> 25 [size =\"48884736\"]\n  12 -> 27 [size =\"48884736\"]\n  12 -> 29 [size =\"48884736\"]\n  12 -> 30 [size =\"48884736\"]\n  12 -> 33 [size =\"48884736\"]\n  12 -> 34 [size =\"48884736\"]\n  13 [size=\"16427008\", alpha=\"0.05\", expect_size=\"8213504\"] \n  13 -> 24 [size =\"8213504\"]\n  13 -> 26 [size =\"8213504\"]\n  13 -> 30 [size =\"8213504\"]\n  13 -> 32 [size =\"8213504\"]\n  13 -> 33 [size =\"8213504\"]\n  14 [size=\"88262656\", alpha=\"0.01\", expect_size=\"44131328\"] \n  14 -> 30 [size =\"44131328\"]\n  14 -> 33 [size =\"44131328\"]\n  15 [size=\"102463488\", alpha=\"0.01\", expect_size=\"51231744\"] \n  15 -> 25 [size =\"51231744\"]\n  15 -> 28 [size =\"51231744\"]\n  16 [size=\"100966400\", alpha=\"0.18\", expect_size=\"50483200\"] \n  16 -> 24 [size =\"50483200\"]\n  16 -> 26 [size =\"50483200\"]\n  16 -> 28 [size =\"50483200\"]\n  16 -> 30 [size =\"50483200\"]\n  16 -> 34 [size =\"50483200\"]\n  17 [size=\"51445760\", alpha=\"0.06\", expect_size=\"25722880\"] \n  17 -> 25 [size =\"25722880\"]\n  17 -> 29 [size =\"25722880\"]\n  17 -> 34 [size =\"25722880\"]\n  18 [size=\"12789760\", alpha=\"0.10\", expect_size=\"6394880\"] \n  18 -> 28 [size =\"6394880\"]\n  18 -> 30 [size =\"6394880\"]\n  18 -> 31 [size =\"6394880\"]\n  18 -> 34 [size =\"6394880\"]\n  19 [size=\"46497792\", alpha=\"0.16\", expect_size=\"23248896\"] \n  19 -> 22 [size =\"23248896\"]\n  19 -> 25 [size =\"23248896\"]\n  19 -> 30 [size =\"23248896\"]\n  19 -> 34 [size =\"23248896\"]\n  20 [size=\"71362560\", alpha=\"0.06\", expect_size=\"35681280\"] \n  20 -> 23 [size =\"35681280\"]\n  20 -> 24 [size =\"35681280\"]\n  20 -> 30 [size =\"35681280\"]\n  20 -> 34 [size =\"35681280\"]\n  21 [size=\"47181824\", alpha=\"0.09\", expect_size=\"23590912\"] \n  21 -> 29 [size =\"23590912\"]\n  22 [size=\"68225024\", alpha=\"0.10\", expect_size=\"34112512\"] \n  22 -> 35 [size =\"34112512\"]\n  22 -> 36 [size =\"34112512\"]\n  22 -> 37 [size =\"34112512\"]\n  22 -> 38 [size =\"34112512\"]\n  22 -> 40 [size =\"34112512\"]\n  22 -> 44 [size =\"34112512\"]\n  22 -> 45 [size =\"34112512\"]\n  23 [size=\"95782912\", alpha=\"0.03\", expect_size=\"47891456\"] \n  23 -> 38 [size =\"47891456\"]\n  23 -> 40 [size =\"47891456\"]\n  23 -> 41 [size =\"47891456\"]\n  23 -> 42 [size =\"47891456\"]\n  23 -> 45 [size =\"47891456\"]\n  24 [size=\"23965696\", alpha=\"0.13\", expect_size=\"11982848\"] \n  24 -> 35 [size =\"11982848\"]\n  24 -> 38 [size =\"11982848\"]\n  24 -> 42 [size =\"11982848\"]\n  24 -> 44 [size =\"11982848\"]\n  24 -> 45 [size =\"11982848\"]\n  25 [size=\"30269440\", alpha=\"0.03\", expect_size=\"15134720\"] \n  25 -> 38 [size =\"15134720\"]\n  25 -> 38 [size =\"15134720\"]\n  25 -> 40 [size =\"15134720\"]\n  25 -> 41 [size =\"15134720\"]\n  25 -> 42 [size =\"15134720\"]\n  25 -> 44 [size =\"15134720\"]\n  26 [size=\"36608000\", alpha=\"0.11\", expect_size=\"18304000\"] \n  26 -> 36 [size =\"18304000\"]\n  26 -> 39 [size =\"18304000\"]\n  26 -> 40 [size =\"18304000\"]\n  26 -> 41 [size =\"18304000\"]\n  26 -> 42 [size =\"18304000\"]\n  26 -> 43 [size =\"18304000\"]\n  26 -> 44 [size =\"18304000\"]\n  27 [size=\"27985920\", alpha=\"0.02\", expect_size=\"13992960\"] \n  27 -> 35 [size =\"13992960\"]\n  27 -> 36 [size =\"13992960\"]\n  27 -> 37 [size =\"13992960\"]\n  27 -> 38 [size =\"13992960\"]\n  27 -> 39 [size =\"13992960\"]\n  27 -> 41 [size =\"13992960\"]\n  27 -> 43 [size =\"13992960\"]\n  27 -> 44 [size =\"13992960\"]\n  28 [size=\"56240128\", alpha=\"0.02\", expect_size=\"28120064\"] \n  28 -> 35 [size =\"28120064\"]\n  28 -> 36 [size =\"28120064\"]\n  28 -> 37 [size =\"28120064\"]\n  28 -> 39 [size =\"28120064\"]\n  28 -> 42 [size =\"28120064\"]\n  28 -> 45 [size =\"28120064\"]\n  29 [size=\"102092800\", alpha=\"0.15\", expect_size=\"51046400\"] \n  29 -> 35 [size =\"51046400\"]\n  29 -> 36 [size =\"51046400\"]\n  29 -> 37 [size =\"51046400\"]\n  29 -> 39 [size =\"51046400\"]\n  29 -> 41 [size =\"51046400\"]\n  29 -> 42 [size =\"51046400\"]\n  29 -> 43 [size =\"51046400\"]\n  29 -> 45 [size =\"51046400\"]\n  30 [size=\"84799488\", alpha=\"0.05\", expect_size=\"42399744\"] \n  30 -> 35 [size =\"42399744\"]\n  30 -> 36 [size =\"42399744\"]\n  30 -> 43 [size =\"42399744\"]\n  31 [size=\"16648192\", alpha=\"0.08\", expect_size=\"8324096\"] \n  31 -> 35 [size =\"8324096\"]\n  31 -> 36 [size =\"8324096\"]\n  31 -> 38 [size =\"8324096\"]\n  31 -> 41 [size =\"8324096\"]\n  31 -> 43 [size =\"8324096\"]\n  31 -> 44 [size =\"8324096\"]\n  32 [size=\"58755072\", alpha=\"0.09\", expect_size=\"29377536\"] \n  32 -> 36 [size =\"29377536\"]\n  32 -> 37 [size =\"29377536\"]\n  32 -> 41 [size =\"29377536\"]\n  32 -> 42 [size =\"29377536\"]\n  32 -> 43 [size =\"29377536\"]\n  32 -> 44 [size =\"29377536\"]\n  33 [size=\"13430784\", alpha=\"0.11\", expect_size=\"6715392\"] \n  33 -> 36 [size =\"6715392\"]\n  33 -> 38 [size =\"6715392\"]\n  33 -> 41 [size =\"6715392\"]\n  33 -> 42 [size =\"6715392\"]\n  33 -> 45 [size =\"6715392\"]\n  34 [size=\"29364224\", alpha=\"0.10\", expect_size=\"14682112\"] \n  34 -> 35 [size =\"14682112\"]\n  34 -> 37 [size =\"14682112\"]\n  34 -> 38 [size =\"14682112\"]\n  34 -> 39 [size =\"14682112\"]\n  34 -> 40 [size =\"14682112\"]\n  34 -> 42 [size =\"14682112\"]\n  34 -> 45 [size =\"14682112\"]\n  35 [size=\"88414208\", alpha=\"0.08\", expect_size=\"44207104\"] \n  36 [size=\"102047744\", alpha=\"0.05\", expect_size=\"51023872\"] \n  37 [size=\"57800704\", alpha=\"0.11\", expect_size=\"28900352\"] \n  38 [size=\"66222080\", alpha=\"0.18\", expect_size=\"33111040\"] \n  39 [size=\"77395968\", alpha=\"0.12\", expect_size=\"38697984\"] \n  40 [size=\"53979136\", alpha=\"0.19\", expect_size=\"26989568\"] \n  41 [size=\"77481984\", alpha=\"0.14\", expect_size=\"38740992\"] \n  42 [size=\"18544640\", alpha=\"0.01\", expect_size=\"9272320\"] \n  43 [size=\"58824704\", alpha=\"0.07\", expect_size=\"29412352\"] \n  44 [size=\"15517696\", alpha=\"0.15\", expect_size=\"7758848\"] \n  45 [size=\"60774400\", alpha=\"0.07\", expect_size=\"30387200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50160640\", alpha=\"0.10\", expect_size=\"20064256\"] \n  1 -> 2 [size =\"20064256\"]\n  2 [size=\"54348800\", alpha=\"0.14\", expect_size=\"21739520\"] \n  2 -> 3 [size =\"21739520\"]\n  3 [size=\"112629760\", alpha=\"0.06\", expect_size=\"45051904\"] \n  3 -> 4 [size =\"45051904\"]\n  4 [size=\"70458880\", alpha=\"0.05\", expect_size=\"28183552\"] \n  4 -> 5 [size =\"28183552\"]\n  5 [size=\"25359360\", alpha=\"0.11\", expect_size=\"10143744\"] \n  5 -> 6 [size =\"10143744\"]\n  6 [size=\"81162240\", alpha=\"0.17\", expect_size=\"32464896\"] \n  6 -> 7 [size =\"32464896\"]\n  7 [size=\"14295040\", alpha=\"0.02\", expect_size=\"5718016\"] \n  7 -> 8 [size =\"5718016\"]\n  8 [size=\"15851520\", alpha=\"0.06\", expect_size=\"6340608\"] \n  8 -> 9 [size =\"6340608\"]\n  9 [size=\"76572160\", alpha=\"0.08\", expect_size=\"30628864\"] \n  9 -> 10 [size =\"30628864\"]\n  10 [size=\"90396160\", alpha=\"0.01\", expect_size=\"36158464\"] \n  10 -> 11 [size =\"36158464\"]\n  11 [size=\"35978240\", alpha=\"0.05\", expect_size=\"14391296\"] \n  11 -> 12 [size =\"14391296\"]\n  12 [size=\"92213760\", alpha=\"0.07\", expect_size=\"36885504\"] \n  12 -> 13 [size =\"36885504\"]\n  13 [size=\"55006720\", alpha=\"0.12\", expect_size=\"22002688\"] \n  13 -> 14 [size =\"22002688\"]\n  14 [size=\"88268800\", alpha=\"0.17\", expect_size=\"35307520\"] \n  14 -> 15 [size =\"35307520\"]\n  15 [size=\"116211200\", alpha=\"0.18\", expect_size=\"46484480\"] \n  15 -> 16 [size =\"46484480\"]\n  16 [size=\"63994880\", alpha=\"0.00\", expect_size=\"25597952\"] \n  16 -> 17 [size =\"25597952\"]\n  17 [size=\"47575040\", alpha=\"0.14\", expect_size=\"19030016\"] \n  17 -> 18 [size =\"19030016\"]\n  18 [size=\"56798720\", alpha=\"0.09\", expect_size=\"22719488\"] \n  18 -> 19 [size =\"22719488\"]\n  19 [size=\"94868480\", alpha=\"0.08\", expect_size=\"37947392\"] \n  19 -> 20 [size =\"37947392\"]\n  20 [size=\"22410240\", alpha=\"0.17\", expect_size=\"8964096\"] \n  20 -> 21 [size =\"8964096\"]\n  21 [size=\"25415680\", alpha=\"0.12\", expect_size=\"10166272\"] \n  21 -> 22 [size =\"10166272\"]\n  22 [size=\"54876160\", alpha=\"0.15\", expect_size=\"21950464\"] \n  22 -> 23 [size =\"21950464\"]\n  23 [size=\"97533440\", alpha=\"0.14\", expect_size=\"39013376\"] \n  23 -> 24 [size =\"39013376\"]\n  24 [size=\"47595520\", alpha=\"0.03\", expect_size=\"19038208\"] \n  24 -> 25 [size =\"19038208\"]\n  25 [size=\"31493120\", alpha=\"0.14\", expect_size=\"12597248\"] \n  25 -> 26 [size =\"12597248\"]\n  26 [size=\"22479360\", alpha=\"0.16\", expect_size=\"8991744\"] \n  26 -> 27 [size =\"8991744\"]\n  27 [size=\"23360000\", alpha=\"0.19\", expect_size=\"9344000\"] \n  27 -> 28 [size =\"9344000\"]\n  28 [size=\"106432000\", alpha=\"0.02\", expect_size=\"42572800\"] \n  28 -> 29 [size =\"42572800\"]\n  29 [size=\"40184320\", alpha=\"0.16\", expect_size=\"16073728\"] \n  29 -> 30 [size =\"16073728\"]\n  30 [size=\"86720000\", alpha=\"0.03\", expect_size=\"34688000\"] \n  30 -> 31 [size =\"34688000\"]\n  31 [size=\"68787200\", alpha=\"0.14\", expect_size=\"27514880\"] \n  31 -> 32 [size =\"27514880\"]\n  32 [size=\"23447040\", alpha=\"0.19\", expect_size=\"9378816\"] \n  32 -> 33 [size =\"9378816\"]\n  33 [size=\"109905920\", alpha=\"0.10\", expect_size=\"43962368\"] \n  33 -> 34 [size =\"43962368\"]\n  34 [size=\"73794560\", alpha=\"0.15\", expect_size=\"29517824\"] \n  34 -> 35 [size =\"29517824\"]\n  35 [size=\"90432000\", alpha=\"0.16\", expect_size=\"36172800\"] \n  35 -> 36 [size =\"36172800\"]\n  36 [size=\"54105600\", alpha=\"0.07\", expect_size=\"21642240\"] \n  36 -> 37 [size =\"21642240\"]\n  37 [size=\"32870400\", alpha=\"0.03\", expect_size=\"13148160\"] \n  37 -> 38 [size =\"13148160\"]\n  38 [size=\"27916800\", alpha=\"0.06\", expect_size=\"11166720\"] \n  38 -> 39 [size =\"11166720\"]\n  39 [size=\"41991680\", alpha=\"0.04\", expect_size=\"16796672\"] \n  39 -> 40 [size =\"16796672\"]\n  40 [size=\"20595200\", alpha=\"0.03\", expect_size=\"8238080\"] \n  40 -> 41 [size =\"8238080\"]\n  41 [size=\"41018880\", alpha=\"0.04\", expect_size=\"16407552\"] \n  41 -> 42 [size =\"16407552\"]\n  42 [size=\"126131200\", alpha=\"0.12\", expect_size=\"50452480\"] \n  42 -> 43 [size =\"50452480\"]\n  43 [size=\"119116800\", alpha=\"0.15\", expect_size=\"47646720\"] \n  43 -> 44 [size =\"47646720\"]\n  44 [size=\"61870080\", alpha=\"0.03\", expect_size=\"24748032\"] \n  44 -> 45 [size =\"24748032\"]\n  45 [size=\"29557760\", alpha=\"0.14\", expect_size=\"11823104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88350720\", alpha=\"0.06\", expect_size=\"26505216\"] \n  1 -> 2 [size =\"26505216\"]\n  2 [size=\"96669013\", alpha=\"0.17\", expect_size=\"29000704\"] \n  2 -> 3 [size =\"29000704\"]\n  3 [size=\"37782187\", alpha=\"0.16\", expect_size=\"11334656\"] \n  3 -> 4 [size =\"11334656\"]\n  4 [size=\"95856640\", alpha=\"0.14\", expect_size=\"28756992\"] \n  4 -> 5 [size =\"28756992\"]\n  5 [size=\"98826240\", alpha=\"0.04\", expect_size=\"29647872\"] \n  5 -> 6 [size =\"29647872\"]\n  6 [size=\"32610987\", alpha=\"0.08\", expect_size=\"9783296\"] \n  6 -> 7 [size =\"9783296\"]\n  7 [size=\"89432747\", alpha=\"0.12\", expect_size=\"26829824\"] \n  7 -> 8 [size =\"26829824\"]\n  8 [size=\"137335467\", alpha=\"0.12\", expect_size=\"41200640\"] \n  8 -> 9 [size =\"41200640\"]\n  9 [size=\"120098133\", alpha=\"0.01\", expect_size=\"36029440\"] \n  9 -> 10 [size =\"36029440\"]\n  10 [size=\"42233173\", alpha=\"0.17\", expect_size=\"12669952\"] \n  10 -> 11 [size =\"12669952\"]\n  11 [size=\"45656747\", alpha=\"0.14\", expect_size=\"13697024\"] \n  11 -> 12 [size =\"13697024\"]\n  12 [size=\"94911147\", alpha=\"0.05\", expect_size=\"28473344\"] \n  12 -> 13 [size =\"28473344\"]\n  13 [size=\"68628480\", alpha=\"0.11\", expect_size=\"20588544\"] \n  13 -> 14 [size =\"20588544\"]\n  14 [size=\"40591360\", alpha=\"0.06\", expect_size=\"12177408\"] \n  14 -> 15 [size =\"12177408\"]\n  15 [size=\"153562453\", alpha=\"0.15\", expect_size=\"46068736\"] \n  15 -> 16 [size =\"46068736\"]\n  16 [size=\"28248747\", alpha=\"0.08\", expect_size=\"8474624\"] \n  16 -> 17 [size =\"8474624\"]\n  17 [size=\"88620373\", alpha=\"0.10\", expect_size=\"26586112\"] \n  17 -> 18 [size =\"26586112\"]\n  18 [size=\"27811840\", alpha=\"0.07\", expect_size=\"8343552\"] \n  18 -> 19 [size =\"8343552\"]\n  19 [size=\"119988907\", alpha=\"0.06\", expect_size=\"35996672\"] \n  19 -> 20 [size =\"35996672\"]\n  20 [size=\"126149973\", alpha=\"0.07\", expect_size=\"37844992\"] \n  20 -> 21 [size =\"37844992\"]\n  21 [size=\"104550400\", alpha=\"0.18\", expect_size=\"31365120\"] \n  21 -> 22 [size =\"31365120\"]\n  22 [size=\"54132053\", alpha=\"0.19\", expect_size=\"16239616\"] \n  22 -> 23 [size =\"16239616\"]\n  23 [size=\"94648320\", alpha=\"0.03\", expect_size=\"28394496\"] \n  23 -> 24 [size =\"28394496\"]\n  24 [size=\"21104640\", alpha=\"0.16\", expect_size=\"6331392\"] \n  24 -> 25 [size =\"6331392\"]\n  25 [size=\"71475200\", alpha=\"0.20\", expect_size=\"21442560\"] \n  25 -> 26 [size =\"21442560\"]\n  26 [size=\"32314027\", alpha=\"0.06\", expect_size=\"9694208\"] \n  26 -> 27 [size =\"9694208\"]\n  27 [size=\"97143467\", alpha=\"0.00\", expect_size=\"29143040\"] \n  27 -> 28 [size =\"29143040\"]\n  28 [size=\"174711467\", alpha=\"0.11\", expect_size=\"52413440\"] \n  28 -> 29 [size =\"52413440\"]\n  29 [size=\"73178453\", alpha=\"0.14\", expect_size=\"21953536\"] \n  29 -> 30 [size =\"21953536\"]\n  30 [size=\"117944320\", alpha=\"0.00\", expect_size=\"35383296\"] \n  30 -> 31 [size =\"35383296\"]\n  31 [size=\"19636907\", alpha=\"0.10\", expect_size=\"5891072\"] \n  31 -> 32 [size =\"5891072\"]\n  32 [size=\"163706880\", alpha=\"0.10\", expect_size=\"49112064\"] \n  32 -> 33 [size =\"49112064\"]\n  33 [size=\"157484373\", alpha=\"0.16\", expect_size=\"47245312\"] \n  33 -> 34 [size =\"47245312\"]\n  34 [size=\"21282133\", alpha=\"0.05\", expect_size=\"6384640\"] \n  34 -> 35 [size =\"6384640\"]\n  35 [size=\"148053333\", alpha=\"0.11\", expect_size=\"44416000\"] \n  35 -> 36 [size =\"44416000\"]\n  36 [size=\"147288747\", alpha=\"0.19\", expect_size=\"44186624\"] \n  36 -> 37 [size =\"44186624\"]\n  37 [size=\"34129920\", alpha=\"0.16\", expect_size=\"10238976\"] \n  37 -> 38 [size =\"10238976\"]\n  38 [size=\"37809493\", alpha=\"0.14\", expect_size=\"11342848\"] \n  38 -> 39 [size =\"11342848\"]\n  39 [size=\"120913920\", alpha=\"0.06\", expect_size=\"36274176\"] \n  39 -> 40 [size =\"36274176\"]\n  40 [size=\"71488853\", alpha=\"0.11\", expect_size=\"21446656\"] \n  40 -> 41 [size =\"21446656\"]\n  41 [size=\"71584427\", alpha=\"0.07\", expect_size=\"21475328\"] \n  41 -> 42 [size =\"21475328\"]\n  42 [size=\"149377707\", alpha=\"0.08\", expect_size=\"44813312\"] \n  42 -> 43 [size =\"44813312\"]\n  43 [size=\"67737600\", alpha=\"0.18\", expect_size=\"20321280\"] \n  43 -> 44 [size =\"20321280\"]\n  44 [size=\"35106133\", alpha=\"0.09\", expect_size=\"10531840\"] \n  44 -> 45 [size =\"10531840\"]\n  45 [size=\"74601813\", alpha=\"0.07\", expect_size=\"22380544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151418880\", alpha=\"0.16\", expect_size=\"45425664\"] \n  1 -> 3 [size =\"45425664\"]\n  1 -> 4 [size =\"45425664\"]\n  2 [size=\"81035947\", alpha=\"0.20\", expect_size=\"24310784\"] \n  2 -> 5 [size =\"24310784\"]\n  3 [size=\"153774080\", alpha=\"0.11\", expect_size=\"46132224\"] \n  3 -> 7 [size =\"46132224\"]\n  3 -> 8 [size =\"46132224\"]\n  4 [size=\"125033813\", alpha=\"0.20\", expect_size=\"37510144\"] \n  4 -> 6 [size =\"37510144\"]\n  4 -> 7 [size =\"37510144\"]\n  4 -> 8 [size =\"37510144\"]\n  5 [size=\"33037653\", alpha=\"0.16\", expect_size=\"9911296\"] \n  6 [size=\"142001493\", alpha=\"0.02\", expect_size=\"42600448\"] \n  6 -> 10 [size =\"42600448\"]\n  7 [size=\"58583040\", alpha=\"0.10\", expect_size=\"17574912\"] \n  8 [size=\"83039573\", alpha=\"0.19\", expect_size=\"24911872\"] \n  8 -> 9 [size =\"24911872\"]\n  8 -> 10 [size =\"24911872\"]\n  8 -> 11 [size =\"24911872\"]\n  9 [size=\"111383893\", alpha=\"0.04\", expect_size=\"33415168\"] \n  9 -> 13 [size =\"33415168\"]\n  9 -> 14 [size =\"33415168\"]\n  10 [size=\"20398080\", alpha=\"0.06\", expect_size=\"6119424\"] \n  11 [size=\"45445120\", alpha=\"0.02\", expect_size=\"13633536\"] \n  11 -> 12 [size =\"13633536\"]\n  12 [size=\"174318933\", alpha=\"0.15\", expect_size=\"52295680\"] \n  12 -> 15 [size =\"52295680\"]\n  13 [size=\"172731733\", alpha=\"0.04\", expect_size=\"51819520\"] \n  13 -> 16 [size =\"51819520\"]\n  14 [size=\"102867627\", alpha=\"0.18\", expect_size=\"30860288\"] \n  15 [size=\"101181440\", alpha=\"0.05\", expect_size=\"30354432\"] \n  15 -> 17 [size =\"30354432\"]\n  15 -> 18 [size =\"30354432\"]\n  16 [size=\"68130133\", alpha=\"0.08\", expect_size=\"20439040\"] \n  17 [size=\"83712000\", alpha=\"0.05\", expect_size=\"25113600\"] \n  17 -> 20 [size =\"25113600\"]\n  18 [size=\"163426987\", alpha=\"0.15\", expect_size=\"49028096\"] \n  18 -> 19 [size =\"49028096\"]\n  18 -> 21 [size =\"49028096\"]\n  19 [size=\"152702293\", alpha=\"0.07\", expect_size=\"45810688\"] \n  19 -> 23 [size =\"45810688\"]\n  20 [size=\"29532160\", alpha=\"0.12\", expect_size=\"8859648\"] \n  21 [size=\"78564693\", alpha=\"0.14\", expect_size=\"23569408\"] \n  21 -> 22 [size =\"23569408\"]\n  22 [size=\"93934933\", alpha=\"0.05\", expect_size=\"28180480\"] \n  22 -> 24 [size =\"28180480\"]\n  22 -> 25 [size =\"28180480\"]\n  23 [size=\"51036160\", alpha=\"0.13\", expect_size=\"15310848\"] \n  24 [size=\"80380587\", alpha=\"0.14\", expect_size=\"24114176\"] \n  24 -> 26 [size =\"24114176\"]\n  24 -> 27 [size =\"24114176\"]\n  25 [size=\"67372373\", alpha=\"0.17\", expect_size=\"20211712\"] \n  25 -> 28 [size =\"20211712\"]\n  26 [size=\"108270933\", alpha=\"0.17\", expect_size=\"32481280\"] \n  26 -> 30 [size =\"32481280\"]\n  27 [size=\"174032213\", alpha=\"0.01\", expect_size=\"52209664\"] \n  27 -> 29 [size =\"52209664\"]\n  28 [size=\"57115307\", alpha=\"0.14\", expect_size=\"17134592\"] \n  28 -> 30 [size =\"17134592\"]\n  29 [size=\"172550827\", alpha=\"0.19\", expect_size=\"51765248\"] \n  30 [size=\"68355413\", alpha=\"0.04\", expect_size=\"20506624\"] \n  30 -> 31 [size =\"20506624\"]\n  30 -> 32 [size =\"20506624\"]\n  31 [size=\"163164160\", alpha=\"0.12\", expect_size=\"48949248\"] \n  31 -> 33 [size =\"48949248\"]\n  31 -> 34 [size =\"48949248\"]\n  32 [size=\"119053653\", alpha=\"0.01\", expect_size=\"35716096\"] \n  33 [size=\"156873387\", alpha=\"0.09\", expect_size=\"47062016\"] \n  34 [size=\"98355200\", alpha=\"0.09\", expect_size=\"29506560\"] \n  34 -> 35 [size =\"29506560\"]\n  34 -> 36 [size =\"29506560\"]\n  35 [size=\"51056640\", alpha=\"0.18\", expect_size=\"15316992\"] \n  35 -> 37 [size =\"15316992\"]\n  35 -> 38 [size =\"15316992\"]\n  36 [size=\"30535680\", alpha=\"0.15\", expect_size=\"9160704\"] \n  37 [size=\"161324373\", alpha=\"0.20\", expect_size=\"48397312\"] \n  37 -> 39 [size =\"48397312\"]\n  37 -> 40 [size =\"48397312\"]\n  38 [size=\"169953280\", alpha=\"0.03\", expect_size=\"50985984\"] \n  38 -> 41 [size =\"50985984\"]\n  39 [size=\"121992533\", alpha=\"0.03\", expect_size=\"36597760\"] \n  40 [size=\"111349760\", alpha=\"0.05\", expect_size=\"33404928\"] \n  40 -> 42 [size =\"33404928\"]\n  40 -> 43 [size =\"33404928\"]\n  41 [size=\"140950187\", alpha=\"0.15\", expect_size=\"42285056\"] \n  42 [size=\"81469440\", alpha=\"0.15\", expect_size=\"24440832\"] \n  42 -> 44 [size =\"24440832\"]\n  42 -> 45 [size =\"24440832\"]\n  43 [size=\"89760427\", alpha=\"0.18\", expect_size=\"26928128\"] \n  44 [size=\"163792213\", alpha=\"0.10\", expect_size=\"49137664\"] \n  45 [size=\"74379947\", alpha=\"0.08\", expect_size=\"22313984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51438080\", alpha=\"0.05\", expect_size=\"20575232\"] \n  1 -> 7 [size =\"20575232\"]\n  1 -> 8 [size =\"20575232\"]\n  1 -> 9 [size =\"20575232\"]\n  1 -> 10 [size =\"20575232\"]\n  2 [size=\"70062080\", alpha=\"0.15\", expect_size=\"28024832\"] \n  2 -> 10 [size =\"28024832\"]\n  3 [size=\"53288960\", alpha=\"0.12\", expect_size=\"21315584\"] \n  3 -> 8 [size =\"21315584\"]\n  3 -> 11 [size =\"21315584\"]\n  4 [size=\"18467840\", alpha=\"0.19\", expect_size=\"7387136\"] \n  5 [size=\"122516480\", alpha=\"0.17\", expect_size=\"49006592\"] \n  6 [size=\"125015040\", alpha=\"0.18\", expect_size=\"50006016\"] \n  6 -> 8 [size =\"50006016\"]\n  6 -> 9 [size =\"50006016\"]\n  6 -> 10 [size =\"50006016\"]\n  7 [size=\"65745920\", alpha=\"0.07\", expect_size=\"26298368\"] \n  7 -> 13 [size =\"26298368\"]\n  7 -> 14 [size =\"26298368\"]\n  7 -> 17 [size =\"26298368\"]\n  7 -> 18 [size =\"26298368\"]\n  8 [size=\"39137280\", alpha=\"0.16\", expect_size=\"15654912\"] \n  8 -> 12 [size =\"15654912\"]\n  8 -> 13 [size =\"15654912\"]\n  8 -> 16 [size =\"15654912\"]\n  9 [size=\"28021760\", alpha=\"0.20\", expect_size=\"11208704\"] \n  9 -> 17 [size =\"11208704\"]\n  10 [size=\"57612800\", alpha=\"0.15\", expect_size=\"23045120\"] \n  11 [size=\"118822400\", alpha=\"0.18\", expect_size=\"47528960\"] \n  11 -> 14 [size =\"47528960\"]\n  11 -> 15 [size =\"47528960\"]\n  12 [size=\"30254080\", alpha=\"0.13\", expect_size=\"12101632\"] \n  12 -> 23 [size =\"12101632\"]\n  13 [size=\"120967680\", alpha=\"0.14\", expect_size=\"48387072\"] \n  13 -> 20 [size =\"48387072\"]\n  13 -> 21 [size =\"48387072\"]\n  13 -> 23 [size =\"48387072\"]\n  14 [size=\"76674560\", alpha=\"0.07\", expect_size=\"30669824\"] \n  14 -> 23 [size =\"30669824\"]\n  15 [size=\"68695040\", alpha=\"0.03\", expect_size=\"27478016\"] \n  15 -> 19 [size =\"27478016\"]\n  15 -> 20 [size =\"27478016\"]\n  15 -> 22 [size =\"27478016\"]\n  16 [size=\"53852160\", alpha=\"0.00\", expect_size=\"21540864\"] \n  16 -> 20 [size =\"21540864\"]\n  16 -> 25 [size =\"21540864\"]\n  17 [size=\"39941120\", alpha=\"0.08\", expect_size=\"15976448\"] \n  18 [size=\"82728960\", alpha=\"0.08\", expect_size=\"33091584\"] \n  18 -> 19 [size =\"33091584\"]\n  18 -> 22 [size =\"33091584\"]\n  18 -> 23 [size =\"33091584\"]\n  18 -> 24 [size =\"33091584\"]\n  19 [size=\"59389440\", alpha=\"0.04\", expect_size=\"23755776\"] \n  19 -> 28 [size =\"23755776\"]\n  20 [size=\"57876480\", alpha=\"0.05\", expect_size=\"23150592\"] \n  20 -> 27 [size =\"23150592\"]\n  21 [size=\"29509120\", alpha=\"0.12\", expect_size=\"11803648\"] \n  21 -> 28 [size =\"11803648\"]\n  21 -> 29 [size =\"11803648\"]\n  22 [size=\"19998720\", alpha=\"0.09\", expect_size=\"7999488\"] \n  23 [size=\"96896000\", alpha=\"0.13\", expect_size=\"38758400\"] \n  23 -> 26 [size =\"38758400\"]\n  23 -> 27 [size =\"38758400\"]\n  23 -> 29 [size =\"38758400\"]\n  24 [size=\"59105280\", alpha=\"0.17\", expect_size=\"23642112\"] \n  24 -> 27 [size =\"23642112\"]\n  24 -> 28 [size =\"23642112\"]\n  24 -> 29 [size =\"23642112\"]\n  25 [size=\"101373440\", alpha=\"0.00\", expect_size=\"40549376\"] \n  25 -> 26 [size =\"40549376\"]\n  25 -> 28 [size =\"40549376\"]\n  25 -> 29 [size =\"40549376\"]\n  26 [size=\"121658880\", alpha=\"0.02\", expect_size=\"48663552\"] \n  26 -> 34 [size =\"48663552\"]\n  27 [size=\"121830400\", alpha=\"0.13\", expect_size=\"48732160\"] \n  27 -> 33 [size =\"48732160\"]\n  28 [size=\"48120320\", alpha=\"0.08\", expect_size=\"19248128\"] \n  28 -> 32 [size =\"19248128\"]\n  29 [size=\"93066240\", alpha=\"0.06\", expect_size=\"37226496\"] \n  29 -> 30 [size =\"37226496\"]\n  29 -> 31 [size =\"37226496\"]\n  30 [size=\"119040000\", alpha=\"0.12\", expect_size=\"47616000\"] \n  30 -> 38 [size =\"47616000\"]\n  31 [size=\"30714880\", alpha=\"0.15\", expect_size=\"12285952\"] \n  31 -> 37 [size =\"12285952\"]\n  31 -> 38 [size =\"12285952\"]\n  32 [size=\"102348800\", alpha=\"0.01\", expect_size=\"40939520\"] \n  32 -> 36 [size =\"40939520\"]\n  32 -> 37 [size =\"40939520\"]\n  33 [size=\"37007360\", alpha=\"0.06\", expect_size=\"14802944\"] \n  33 -> 35 [size =\"14802944\"]\n  34 [size=\"110801920\", alpha=\"0.01\", expect_size=\"44320768\"] \n  34 -> 37 [size =\"44320768\"]\n  34 -> 38 [size =\"44320768\"]\n  35 [size=\"93168640\", alpha=\"0.06\", expect_size=\"37267456\"] \n  35 -> 39 [size =\"37267456\"]\n  35 -> 42 [size =\"37267456\"]\n  35 -> 44 [size =\"37267456\"]\n  36 [size=\"93514240\", alpha=\"0.18\", expect_size=\"37405696\"] \n  37 [size=\"105786880\", alpha=\"0.14\", expect_size=\"42314752\"] \n  37 -> 40 [size =\"42314752\"]\n  37 -> 41 [size =\"42314752\"]\n  37 -> 42 [size =\"42314752\"]\n  37 -> 43 [size =\"42314752\"]\n  38 [size=\"64660480\", alpha=\"0.02\", expect_size=\"25864192\"] \n  38 -> 44 [size =\"25864192\"]\n  39 [size=\"114129920\", alpha=\"0.18\", expect_size=\"45651968\"] \n  40 [size=\"33182720\", alpha=\"0.01\", expect_size=\"13273088\"] \n  40 -> 45 [size =\"13273088\"]\n  41 [size=\"102254080\", alpha=\"0.07\", expect_size=\"40901632\"] \n  42 [size=\"73164800\", alpha=\"0.15\", expect_size=\"29265920\"] \n  43 [size=\"81031680\", alpha=\"0.16\", expect_size=\"32412672\"] \n  44 [size=\"115747840\", alpha=\"0.06\", expect_size=\"46299136\"] \n  45 [size=\"122918400\", alpha=\"0.10\", expect_size=\"49167360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11401216\", alpha=\"0.01\", expect_size=\"5700608\"] \n  1 -> 43 [size =\"5700608\"]\n  1 -> 44 [size =\"5700608\"]\n  2 [size=\"75663360\", alpha=\"0.17\", expect_size=\"37831680\"] \n  3 [size=\"69701632\", alpha=\"0.14\", expect_size=\"34850816\"] \n  3 -> 44 [size =\"34850816\"]\n  4 [size=\"64272384\", alpha=\"0.17\", expect_size=\"32136192\"] \n  4 -> 45 [size =\"32136192\"]\n  5 [size=\"81113088\", alpha=\"0.18\", expect_size=\"40556544\"] \n  5 -> 41 [size =\"40556544\"]\n  5 -> 44 [size =\"40556544\"]\n  6 [size=\"24479744\", alpha=\"0.10\", expect_size=\"12239872\"] \n  6 -> 41 [size =\"12239872\"]\n  6 -> 45 [size =\"12239872\"]\n  7 [size=\"17209344\", alpha=\"0.14\", expect_size=\"8604672\"] \n  7 -> 41 [size =\"8604672\"]\n  7 -> 45 [size =\"8604672\"]\n  8 [size=\"67989504\", alpha=\"0.06\", expect_size=\"33994752\"] \n  8 -> 41 [size =\"33994752\"]\n  9 [size=\"38146048\", alpha=\"0.01\", expect_size=\"19073024\"] \n  10 [size=\"55812096\", alpha=\"0.18\", expect_size=\"27906048\"] \n  10 -> 41 [size =\"27906048\"]\n  10 -> 43 [size =\"27906048\"]\n  11 [size=\"33519616\", alpha=\"0.08\", expect_size=\"16759808\"] \n  12 [size=\"38342656\", alpha=\"0.16\", expect_size=\"19171328\"] \n  13 [size=\"25159680\", alpha=\"0.06\", expect_size=\"12579840\"] \n  14 [size=\"89006080\", alpha=\"0.02\", expect_size=\"44503040\"] \n  14 -> 41 [size =\"44503040\"]\n  15 [size=\"73312256\", alpha=\"0.07\", expect_size=\"36656128\"] \n  15 -> 43 [size =\"36656128\"]\n  16 [size=\"62801920\", alpha=\"0.05\", expect_size=\"31400960\"] \n  16 -> 42 [size =\"31400960\"]\n  16 -> 43 [size =\"31400960\"]\n  17 [size=\"15622144\", alpha=\"0.16\", expect_size=\"7811072\"] \n  17 -> 42 [size =\"7811072\"]\n  17 -> 43 [size =\"7811072\"]\n  18 [size=\"83292160\", alpha=\"0.04\", expect_size=\"41646080\"] \n  18 -> 41 [size =\"41646080\"]\n  18 -> 45 [size =\"41646080\"]\n  19 [size=\"15925248\", alpha=\"0.01\", expect_size=\"7962624\"] \n  19 -> 42 [size =\"7962624\"]\n  20 [size=\"21307392\", alpha=\"0.10\", expect_size=\"10653696\"] \n  21 [size=\"12464128\", alpha=\"0.19\", expect_size=\"6232064\"] \n  21 -> 44 [size =\"6232064\"]\n  22 [size=\"48345088\", alpha=\"0.02\", expect_size=\"24172544\"] \n  23 [size=\"28958720\", alpha=\"0.18\", expect_size=\"14479360\"] \n  23 -> 43 [size =\"14479360\"]\n  23 -> 45 [size =\"14479360\"]\n  24 [size=\"56264704\", alpha=\"0.05\", expect_size=\"28132352\"] \n  24 -> 41 [size =\"28132352\"]\n  24 -> 42 [size =\"28132352\"]\n  24 -> 44 [size =\"28132352\"]\n  25 [size=\"63369216\", alpha=\"0.07\", expect_size=\"31684608\"] \n  25 -> 41 [size =\"31684608\"]\n  25 -> 42 [size =\"31684608\"]\n  26 [size=\"95041536\", alpha=\"0.12\", expect_size=\"47520768\"] \n  27 [size=\"25948160\", alpha=\"0.18\", expect_size=\"12974080\"] \n  27 -> 41 [size =\"12974080\"]\n  28 [size=\"101814272\", alpha=\"0.16\", expect_size=\"50907136\"] \n  28 -> 41 [size =\"50907136\"]\n  29 [size=\"27402240\", alpha=\"0.01\", expect_size=\"13701120\"] \n  30 [size=\"31913984\", alpha=\"0.15\", expect_size=\"15956992\"] \n  30 -> 43 [size =\"15956992\"]\n  30 -> 44 [size =\"15956992\"]\n  31 [size=\"78970880\", alpha=\"0.14\", expect_size=\"39485440\"] \n  31 -> 44 [size =\"39485440\"]\n  32 [size=\"75118592\", alpha=\"0.18\", expect_size=\"37559296\"] \n  33 [size=\"85534720\", alpha=\"0.06\", expect_size=\"42767360\"] \n  34 [size=\"75065344\", alpha=\"0.11\", expect_size=\"37532672\"] \n  34 -> 42 [size =\"37532672\"]\n  34 -> 44 [size =\"37532672\"]\n  35 [size=\"97497088\", alpha=\"0.09\", expect_size=\"48748544\"] \n  36 [size=\"34715648\", alpha=\"0.18\", expect_size=\"17357824\"] \n  36 -> 42 [size =\"17357824\"]\n  37 [size=\"89460736\", alpha=\"0.08\", expect_size=\"44730368\"] \n  37 -> 41 [size =\"44730368\"]\n  38 [size=\"79710208\", alpha=\"0.13\", expect_size=\"39855104\"] \n  38 -> 41 [size =\"39855104\"]\n  38 -> 43 [size =\"39855104\"]\n  39 [size=\"62971904\", alpha=\"0.20\", expect_size=\"31485952\"] \n  39 -> 42 [size =\"31485952\"]\n  40 [size=\"66908160\", alpha=\"0.09\", expect_size=\"33454080\"] \n  41 [size=\"42471424\", alpha=\"0.18\", expect_size=\"21235712\"] \n  42 [size=\"12699648\", alpha=\"0.15\", expect_size=\"6349824\"] \n  43 [size=\"99821568\", alpha=\"0.16\", expect_size=\"49910784\"] \n  44 [size=\"35395584\", alpha=\"0.07\", expect_size=\"17697792\"] \n  45 [size=\"86687744\", alpha=\"0.10\", expect_size=\"43343872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61005824\", alpha=\"0.01\", expect_size=\"30502912\"] \n  1 -> 9 [size =\"30502912\"]\n  2 [size=\"86624256\", alpha=\"0.09\", expect_size=\"43312128\"] \n  3 [size=\"85166080\", alpha=\"0.15\", expect_size=\"42583040\"] \n  3 -> 9 [size =\"42583040\"]\n  4 [size=\"20400128\", alpha=\"0.05\", expect_size=\"10200064\"] \n  4 -> 9 [size =\"10200064\"]\n  4 -> 11 [size =\"10200064\"]\n  5 [size=\"35305472\", alpha=\"0.12\", expect_size=\"17652736\"] \n  5 -> 8 [size =\"17652736\"]\n  5 -> 10 [size =\"17652736\"]\n  6 [size=\"51728384\", alpha=\"0.10\", expect_size=\"25864192\"] \n  6 -> 9 [size =\"25864192\"]\n  6 -> 10 [size =\"25864192\"]\n  6 -> 11 [size =\"25864192\"]\n  6 -> 12 [size =\"25864192\"]\n  7 [size=\"30758912\", alpha=\"0.04\", expect_size=\"15379456\"] \n  7 -> 10 [size =\"15379456\"]\n  7 -> 10 [size =\"15379456\"]\n  7 -> 12 [size =\"15379456\"]\n  8 [size=\"27904000\", alpha=\"0.06\", expect_size=\"13952000\"] \n  8 -> 17 [size =\"13952000\"]\n  9 [size=\"93732864\", alpha=\"0.02\", expect_size=\"46866432\"] \n  9 -> 14 [size =\"46866432\"]\n  9 -> 16 [size =\"46866432\"]\n  9 -> 18 [size =\"46866432\"]\n  9 -> 19 [size =\"46866432\"]\n  10 [size=\"87752704\", alpha=\"0.08\", expect_size=\"43876352\"] \n  10 -> 13 [size =\"43876352\"]\n  10 -> 14 [size =\"43876352\"]\n  10 -> 18 [size =\"43876352\"]\n  11 [size=\"85432320\", alpha=\"0.04\", expect_size=\"42716160\"] \n  11 -> 13 [size =\"42716160\"]\n  12 [size=\"91650048\", alpha=\"0.20\", expect_size=\"45825024\"] \n  12 -> 13 [size =\"45825024\"]\n  12 -> 15 [size =\"45825024\"]\n  12 -> 17 [size =\"45825024\"]\n  12 -> 18 [size =\"45825024\"]\n  12 -> 19 [size =\"45825024\"]\n  13 [size=\"39335936\", alpha=\"0.17\", expect_size=\"19667968\"] \n  13 -> 25 [size =\"19667968\"]\n  13 -> 26 [size =\"19667968\"]\n  14 [size=\"15159296\", alpha=\"0.01\", expect_size=\"7579648\"] \n  14 -> 20 [size =\"7579648\"]\n  14 -> 23 [size =\"7579648\"]\n  14 -> 25 [size =\"7579648\"]\n  14 -> 26 [size =\"7579648\"]\n  15 [size=\"36825088\", alpha=\"0.02\", expect_size=\"18412544\"] \n  15 -> 20 [size =\"18412544\"]\n  15 -> 21 [size =\"18412544\"]\n  15 -> 24 [size =\"18412544\"]\n  16 [size=\"92147712\", alpha=\"0.16\", expect_size=\"46073856\"] \n  16 -> 24 [size =\"46073856\"]\n  16 -> 26 [size =\"46073856\"]\n  17 [size=\"46721024\", alpha=\"0.12\", expect_size=\"23360512\"] \n  17 -> 22 [size =\"23360512\"]\n  17 -> 23 [size =\"23360512\"]\n  17 -> 24 [size =\"23360512\"]\n  17 -> 25 [size =\"23360512\"]\n  18 [size=\"67870720\", alpha=\"0.12\", expect_size=\"33935360\"] \n  19 [size=\"94574592\", alpha=\"0.00\", expect_size=\"47287296\"] \n  19 -> 23 [size =\"47287296\"]\n  19 -> 25 [size =\"47287296\"]\n  19 -> 27 [size =\"47287296\"]\n  20 [size=\"103532544\", alpha=\"0.00\", expect_size=\"51766272\"] \n  21 [size=\"45688832\", alpha=\"0.11\", expect_size=\"22844416\"] \n  22 [size=\"64002048\", alpha=\"0.18\", expect_size=\"32001024\"] \n  22 -> 28 [size =\"32001024\"]\n  22 -> 30 [size =\"32001024\"]\n  22 -> 31 [size =\"32001024\"]\n  23 [size=\"62758912\", alpha=\"0.00\", expect_size=\"31379456\"] \n  24 [size=\"46823424\", alpha=\"0.05\", expect_size=\"23411712\"] \n  24 -> 30 [size =\"23411712\"]\n  24 -> 31 [size =\"23411712\"]\n  25 [size=\"49823744\", alpha=\"0.15\", expect_size=\"24911872\"] \n  25 -> 33 [size =\"24911872\"]\n  26 [size=\"59871232\", alpha=\"0.14\", expect_size=\"29935616\"] \n  26 -> 28 [size =\"29935616\"]\n  26 -> 32 [size =\"29935616\"]\n  26 -> 33 [size =\"29935616\"]\n  27 [size=\"43018240\", alpha=\"0.17\", expect_size=\"21509120\"] \n  27 -> 28 [size =\"21509120\"]\n  27 -> 29 [size =\"21509120\"]\n  27 -> 30 [size =\"21509120\"]\n  27 -> 32 [size =\"21509120\"]\n  27 -> 33 [size =\"21509120\"]\n  28 [size=\"98547712\", alpha=\"0.04\", expect_size=\"49273856\"] \n  28 -> 35 [size =\"49273856\"]\n  28 -> 37 [size =\"49273856\"]\n  29 [size=\"63115264\", alpha=\"0.08\", expect_size=\"31557632\"] \n  29 -> 35 [size =\"31557632\"]\n  29 -> 36 [size =\"31557632\"]\n  29 -> 37 [size =\"31557632\"]\n  30 [size=\"63358976\", alpha=\"0.09\", expect_size=\"31679488\"] \n  30 -> 35 [size =\"31679488\"]\n  31 [size=\"63623168\", alpha=\"0.06\", expect_size=\"31811584\"] \n  31 -> 37 [size =\"31811584\"]\n  32 [size=\"20056064\", alpha=\"0.19\", expect_size=\"10028032\"] \n  32 -> 34 [size =\"10028032\"]\n  33 [size=\"103170048\", alpha=\"0.19\", expect_size=\"51585024\"] \n  34 [size=\"104529920\", alpha=\"0.00\", expect_size=\"52264960\"] \n  34 -> 42 [size =\"52264960\"]\n  34 -> 44 [size =\"52264960\"]\n  35 [size=\"34052096\", alpha=\"0.07\", expect_size=\"17026048\"] \n  35 -> 39 [size =\"17026048\"]\n  35 -> 40 [size =\"17026048\"]\n  35 -> 41 [size =\"17026048\"]\n  35 -> 43 [size =\"17026048\"]\n  36 [size=\"10928128\", alpha=\"0.11\", expect_size=\"5464064\"] \n  36 -> 38 [size =\"5464064\"]\n  36 -> 40 [size =\"5464064\"]\n  36 -> 44 [size =\"5464064\"]\n  36 -> 45 [size =\"5464064\"]\n  37 [size=\"76402688\", alpha=\"0.02\", expect_size=\"38201344\"] \n  37 -> 40 [size =\"38201344\"]\n  38 [size=\"62007296\", alpha=\"0.06\", expect_size=\"31003648\"] \n  39 [size=\"79534080\", alpha=\"0.08\", expect_size=\"39767040\"] \n  40 [size=\"23486464\", alpha=\"0.09\", expect_size=\"11743232\"] \n  41 [size=\"65505280\", alpha=\"0.18\", expect_size=\"32752640\"] \n  42 [size=\"91793408\", alpha=\"0.18\", expect_size=\"45896704\"] \n  43 [size=\"89147392\", alpha=\"0.09\", expect_size=\"44573696\"] \n  44 [size=\"86413312\", alpha=\"0.08\", expect_size=\"43206656\"] \n  45 [size=\"88270848\", alpha=\"0.15\", expect_size=\"44135424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97282048\", alpha=\"0.13\", expect_size=\"48641024\"] \n  1 -> 16 [size =\"48641024\"]\n  1 -> 17 [size =\"48641024\"]\n  1 -> 20 [size =\"48641024\"]\n  1 -> 21 [size =\"48641024\"]\n  1 -> 22 [size =\"48641024\"]\n  1 -> 23 [size =\"48641024\"]\n  1 -> 25 [size =\"48641024\"]\n  1 -> 26 [size =\"48641024\"]\n  2 [size=\"100220928\", alpha=\"0.03\", expect_size=\"50110464\"] \n  2 -> 15 [size =\"50110464\"]\n  2 -> 16 [size =\"50110464\"]\n  2 -> 17 [size =\"50110464\"]\n  2 -> 18 [size =\"50110464\"]\n  2 -> 20 [size =\"50110464\"]\n  2 -> 21 [size =\"50110464\"]\n  2 -> 22 [size =\"50110464\"]\n  2 -> 23 [size =\"50110464\"]\n  2 -> 24 [size =\"50110464\"]\n  2 -> 25 [size =\"50110464\"]\n  2 -> 28 [size =\"50110464\"]\n  3 [size=\"76154880\", alpha=\"0.12\", expect_size=\"38077440\"] \n  3 -> 15 [size =\"38077440\"]\n  3 -> 17 [size =\"38077440\"]\n  3 -> 18 [size =\"38077440\"]\n  3 -> 18 [size =\"38077440\"]\n  3 -> 19 [size =\"38077440\"]\n  3 -> 21 [size =\"38077440\"]\n  3 -> 22 [size =\"38077440\"]\n  3 -> 25 [size =\"38077440\"]\n  3 -> 26 [size =\"38077440\"]\n  3 -> 28 [size =\"38077440\"]\n  4 [size=\"98955264\", alpha=\"0.04\", expect_size=\"49477632\"] \n  4 -> 18 [size =\"49477632\"]\n  4 -> 21 [size =\"49477632\"]\n  4 -> 22 [size =\"49477632\"]\n  4 -> 25 [size =\"49477632\"]\n  5 [size=\"34240512\", alpha=\"0.06\", expect_size=\"17120256\"] \n  5 -> 18 [size =\"17120256\"]\n  5 -> 20 [size =\"17120256\"]\n  5 -> 21 [size =\"17120256\"]\n  5 -> 22 [size =\"17120256\"]\n  5 -> 25 [size =\"17120256\"]\n  6 [size=\"88172544\", alpha=\"0.13\", expect_size=\"44086272\"] \n  6 -> 16 [size =\"44086272\"]\n  6 -> 17 [size =\"44086272\"]\n  6 -> 19 [size =\"44086272\"]\n  6 -> 20 [size =\"44086272\"]\n  6 -> 21 [size =\"44086272\"]\n  6 -> 22 [size =\"44086272\"]\n  6 -> 25 [size =\"44086272\"]\n  6 -> 28 [size =\"44086272\"]\n  7 [size=\"21952512\", alpha=\"0.07\", expect_size=\"10976256\"] \n  7 -> 16 [size =\"10976256\"]\n  7 -> 17 [size =\"10976256\"]\n  7 -> 20 [size =\"10976256\"]\n  7 -> 22 [size =\"10976256\"]\n  7 -> 23 [size =\"10976256\"]\n  7 -> 25 [size =\"10976256\"]\n  7 -> 25 [size =\"10976256\"]\n  8 [size=\"33394688\", alpha=\"0.14\", expect_size=\"16697344\"] \n  8 -> 16 [size =\"16697344\"]\n  8 -> 17 [size =\"16697344\"]\n  8 -> 18 [size =\"16697344\"]\n  8 -> 20 [size =\"16697344\"]\n  8 -> 22 [size =\"16697344\"]\n  9 [size=\"80220160\", alpha=\"0.14\", expect_size=\"40110080\"] \n  9 -> 15 [size =\"40110080\"]\n  9 -> 16 [size =\"40110080\"]\n  9 -> 17 [size =\"40110080\"]\n  9 -> 25 [size =\"40110080\"]\n  9 -> 27 [size =\"40110080\"]\n  10 [size=\"39124992\", alpha=\"0.06\", expect_size=\"19562496\"] \n  10 -> 16 [size =\"19562496\"]\n  10 -> 16 [size =\"19562496\"]\n  10 -> 17 [size =\"19562496\"]\n  10 -> 18 [size =\"19562496\"]\n  10 -> 20 [size =\"19562496\"]\n  10 -> 22 [size =\"19562496\"]\n  10 -> 25 [size =\"19562496\"]\n  10 -> 27 [size =\"19562496\"]\n  11 [size=\"96899072\", alpha=\"0.18\", expect_size=\"48449536\"] \n  11 -> 15 [size =\"48449536\"]\n  11 -> 16 [size =\"48449536\"]\n  11 -> 17 [size =\"48449536\"]\n  11 -> 18 [size =\"48449536\"]\n  11 -> 20 [size =\"48449536\"]\n  11 -> 22 [size =\"48449536\"]\n  11 -> 24 [size =\"48449536\"]\n  11 -> 26 [size =\"48449536\"]\n  11 -> 27 [size =\"48449536\"]\n  12 [size=\"62367744\", alpha=\"0.03\", expect_size=\"31183872\"] \n  12 -> 15 [size =\"31183872\"]\n  12 -> 17 [size =\"31183872\"]\n  12 -> 18 [size =\"31183872\"]\n  12 -> 20 [size =\"31183872\"]\n  12 -> 21 [size =\"31183872\"]\n  12 -> 22 [size =\"31183872\"]\n  12 -> 26 [size =\"31183872\"]\n  12 -> 26 [size =\"31183872\"]\n  12 -> 28 [size =\"31183872\"]\n  13 [size=\"77586432\", alpha=\"0.01\", expect_size=\"38793216\"] \n  13 -> 19 [size =\"38793216\"]\n  13 -> 21 [size =\"38793216\"]\n  13 -> 22 [size =\"38793216\"]\n  13 -> 25 [size =\"38793216\"]\n  13 -> 26 [size =\"38793216\"]\n  13 -> 27 [size =\"38793216\"]\n  13 -> 28 [size =\"38793216\"]\n  14 [size=\"38432768\", alpha=\"0.06\", expect_size=\"19216384\"] \n  14 -> 17 [size =\"19216384\"]\n  14 -> 20 [size =\"19216384\"]\n  14 -> 21 [size =\"19216384\"]\n  14 -> 22 [size =\"19216384\"]\n  14 -> 25 [size =\"19216384\"]\n  14 -> 26 [size =\"19216384\"]\n  14 -> 28 [size =\"19216384\"]\n  15 [size=\"54999040\", alpha=\"0.19\", expect_size=\"27499520\"] \n  15 -> 29 [size =\"27499520\"]\n  15 -> 31 [size =\"27499520\"]\n  15 -> 32 [size =\"27499520\"]\n  15 -> 32 [size =\"27499520\"]\n  15 -> 33 [size =\"27499520\"]\n  15 -> 35 [size =\"27499520\"]\n  15 -> 36 [size =\"27499520\"]\n  15 -> 37 [size =\"27499520\"]\n  15 -> 38 [size =\"27499520\"]\n  15 -> 40 [size =\"27499520\"]\n  15 -> 42 [size =\"27499520\"]\n  16 [size=\"84633600\", alpha=\"0.14\", expect_size=\"42316800\"] \n  16 -> 30 [size =\"42316800\"]\n  16 -> 32 [size =\"42316800\"]\n  16 -> 33 [size =\"42316800\"]\n  16 -> 34 [size =\"42316800\"]\n  16 -> 35 [size =\"42316800\"]\n  16 -> 36 [size =\"42316800\"]\n  16 -> 37 [size =\"42316800\"]\n  16 -> 38 [size =\"42316800\"]\n  17 [size=\"50583552\", alpha=\"0.11\", expect_size=\"25291776\"] \n  17 -> 30 [size =\"25291776\"]\n  17 -> 34 [size =\"25291776\"]\n  17 -> 35 [size =\"25291776\"]\n  17 -> 36 [size =\"25291776\"]\n  17 -> 41 [size =\"25291776\"]\n  18 [size=\"84623360\", alpha=\"0.05\", expect_size=\"42311680\"] \n  18 -> 30 [size =\"42311680\"]\n  18 -> 31 [size =\"42311680\"]\n  18 -> 32 [size =\"42311680\"]\n  18 -> 33 [size =\"42311680\"]\n  18 -> 34 [size =\"42311680\"]\n  18 -> 36 [size =\"42311680\"]\n  18 -> 37 [size =\"42311680\"]\n  18 -> 41 [size =\"42311680\"]\n  18 -> 42 [size =\"42311680\"]\n  19 [size=\"58247168\", alpha=\"0.07\", expect_size=\"29123584\"] \n  19 -> 31 [size =\"29123584\"]\n  19 -> 31 [size =\"29123584\"]\n  19 -> 32 [size =\"29123584\"]\n  19 -> 33 [size =\"29123584\"]\n  19 -> 34 [size =\"29123584\"]\n  19 -> 36 [size =\"29123584\"]\n  19 -> 37 [size =\"29123584\"]\n  19 -> 38 [size =\"29123584\"]\n  19 -> 42 [size =\"29123584\"]\n  20 [size=\"27602944\", alpha=\"0.01\", expect_size=\"13801472\"] \n  20 -> 30 [size =\"13801472\"]\n  20 -> 32 [size =\"13801472\"]\n  20 -> 33 [size =\"13801472\"]\n  20 -> 34 [size =\"13801472\"]\n  20 -> 34 [size =\"13801472\"]\n  20 -> 35 [size =\"13801472\"]\n  20 -> 36 [size =\"13801472\"]\n  20 -> 37 [size =\"13801472\"]\n  20 -> 42 [size =\"13801472\"]\n  21 [size=\"54921216\", alpha=\"0.13\", expect_size=\"27460608\"] \n  21 -> 30 [size =\"27460608\"]\n  21 -> 31 [size =\"27460608\"]\n  21 -> 34 [size =\"27460608\"]\n  21 -> 36 [size =\"27460608\"]\n  21 -> 37 [size =\"27460608\"]\n  21 -> 42 [size =\"27460608\"]\n  22 [size=\"47470592\", alpha=\"0.05\", expect_size=\"23735296\"] \n  22 -> 30 [size =\"23735296\"]\n  22 -> 31 [size =\"23735296\"]\n  22 -> 36 [size =\"23735296\"]\n  22 -> 37 [size =\"23735296\"]\n  22 -> 38 [size =\"23735296\"]\n  22 -> 42 [size =\"23735296\"]\n  23 [size=\"62466048\", alpha=\"0.10\", expect_size=\"31233024\"] \n  23 -> 30 [size =\"31233024\"]\n  23 -> 31 [size =\"31233024\"]\n  23 -> 32 [size =\"31233024\"]\n  23 -> 34 [size =\"31233024\"]\n  23 -> 38 [size =\"31233024\"]\n  23 -> 39 [size =\"31233024\"]\n  23 -> 41 [size =\"31233024\"]\n  23 -> 42 [size =\"31233024\"]\n  24 [size=\"67393536\", alpha=\"0.14\", expect_size=\"33696768\"] \n  24 -> 30 [size =\"33696768\"]\n  24 -> 31 [size =\"33696768\"]\n  24 -> 32 [size =\"33696768\"]\n  24 -> 33 [size =\"33696768\"]\n  24 -> 35 [size =\"33696768\"]\n  24 -> 40 [size =\"33696768\"]\n  24 -> 42 [size =\"33696768\"]\n  25 [size=\"94158848\", alpha=\"0.03\", expect_size=\"47079424\"] \n  25 -> 30 [size =\"47079424\"]\n  25 -> 31 [size =\"47079424\"]\n  25 -> 32 [size =\"47079424\"]\n  25 -> 33 [size =\"47079424\"]\n  25 -> 35 [size =\"47079424\"]\n  25 -> 37 [size =\"47079424\"]\n  25 -> 38 [size =\"47079424\"]\n  25 -> 42 [size =\"47079424\"]\n  26 [size=\"90435584\", alpha=\"0.09\", expect_size=\"45217792\"] \n  26 -> 30 [size =\"45217792\"]\n  26 -> 31 [size =\"45217792\"]\n  26 -> 32 [size =\"45217792\"]\n  26 -> 33 [size =\"45217792\"]\n  26 -> 35 [size =\"45217792\"]\n  26 -> 37 [size =\"45217792\"]\n  26 -> 38 [size =\"45217792\"]\n  27 [size=\"59957248\", alpha=\"0.17\", expect_size=\"29978624\"] \n  27 -> 29 [size =\"29978624\"]\n  27 -> 30 [size =\"29978624\"]\n  27 -> 31 [size =\"29978624\"]\n  27 -> 32 [size =\"29978624\"]\n  27 -> 33 [size =\"29978624\"]\n  27 -> 34 [size =\"29978624\"]\n  27 -> 35 [size =\"29978624\"]\n  27 -> 37 [size =\"29978624\"]\n  27 -> 40 [size =\"29978624\"]\n  27 -> 41 [size =\"29978624\"]\n  28 [size=\"15558656\", alpha=\"0.10\", expect_size=\"7779328\"] \n  28 -> 30 [size =\"7779328\"]\n  28 -> 30 [size =\"7779328\"]\n  28 -> 31 [size =\"7779328\"]\n  28 -> 32 [size =\"7779328\"]\n  28 -> 33 [size =\"7779328\"]\n  28 -> 35 [size =\"7779328\"]\n  28 -> 36 [size =\"7779328\"]\n  28 -> 37 [size =\"7779328\"]\n  28 -> 38 [size =\"7779328\"]\n  28 -> 40 [size =\"7779328\"]\n  28 -> 42 [size =\"7779328\"]\n  29 [size=\"38547456\", alpha=\"0.18\", expect_size=\"19273728\"] \n  29 -> 43 [size =\"19273728\"]\n  30 [size=\"71919616\", alpha=\"0.11\", expect_size=\"35959808\"] \n  31 [size=\"77023232\", alpha=\"0.03\", expect_size=\"38511616\"] \n  31 -> 45 [size =\"38511616\"]\n  32 [size=\"46288896\", alpha=\"0.06\", expect_size=\"23144448\"] \n  32 -> 44 [size =\"23144448\"]\n  32 -> 45 [size =\"23144448\"]\n  33 [size=\"69451776\", alpha=\"0.04\", expect_size=\"34725888\"] \n  33 -> 45 [size =\"34725888\"]\n  34 [size=\"23437312\", alpha=\"0.07\", expect_size=\"11718656\"] \n  35 [size=\"91088896\", alpha=\"0.19\", expect_size=\"45544448\"] \n  36 [size=\"13045760\", alpha=\"0.08\", expect_size=\"6522880\"] \n  36 -> 44 [size =\"6522880\"]\n  37 [size=\"55738368\", alpha=\"0.05\", expect_size=\"27869184\"] \n  37 -> 43 [size =\"27869184\"]\n  37 -> 45 [size =\"27869184\"]\n  38 [size=\"41893888\", alpha=\"0.17\", expect_size=\"20946944\"] \n  38 -> 43 [size =\"20946944\"]\n  38 -> 45 [size =\"20946944\"]\n  39 [size=\"88793088\", alpha=\"0.20\", expect_size=\"44396544\"] \n  39 -> 45 [size =\"44396544\"]\n  40 [size=\"77424640\", alpha=\"0.06\", expect_size=\"38712320\"] \n  41 [size=\"36429824\", alpha=\"0.02\", expect_size=\"18214912\"] \n  41 -> 44 [size =\"18214912\"]\n  42 [size=\"52224000\", alpha=\"0.05\", expect_size=\"26112000\"] \n  42 -> 45 [size =\"26112000\"]\n  43 [size=\"82317312\", alpha=\"0.20\", expect_size=\"41158656\"] \n  44 [size=\"99438592\", alpha=\"0.06\", expect_size=\"49719296\"] \n  45 [size=\"37165056\", alpha=\"0.11\", expect_size=\"18582528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90429440\", alpha=\"0.14\", expect_size=\"45214720\"] \n  1 -> 8 [size =\"45214720\"]\n  1 -> 10 [size =\"45214720\"]\n  1 -> 10 [size =\"45214720\"]\n  2 [size=\"30771200\", alpha=\"0.11\", expect_size=\"15385600\"] \n  2 -> 12 [size =\"15385600\"]\n  3 [size=\"77674496\", alpha=\"0.12\", expect_size=\"38837248\"] \n  3 -> 7 [size =\"38837248\"]\n  4 [size=\"76748800\", alpha=\"0.03\", expect_size=\"38374400\"] \n  4 -> 7 [size =\"38374400\"]\n  4 -> 8 [size =\"38374400\"]\n  4 -> 9 [size =\"38374400\"]\n  5 [size=\"44183552\", alpha=\"0.10\", expect_size=\"22091776\"] \n  5 -> 7 [size =\"22091776\"]\n  6 [size=\"18946048\", alpha=\"0.04\", expect_size=\"9473024\"] \n  6 -> 8 [size =\"9473024\"]\n  6 -> 9 [size =\"9473024\"]\n  6 -> 10 [size =\"9473024\"]\n  6 -> 11 [size =\"9473024\"]\n  7 [size=\"22499328\", alpha=\"0.08\", expect_size=\"11249664\"] \n  7 -> 16 [size =\"11249664\"]\n  8 [size=\"32182272\", alpha=\"0.04\", expect_size=\"16091136\"] \n  8 -> 16 [size =\"16091136\"]\n  9 [size=\"24150016\", alpha=\"0.19\", expect_size=\"12075008\"] \n  10 [size=\"98295808\", alpha=\"0.16\", expect_size=\"49147904\"] \n  10 -> 17 [size =\"49147904\"]\n  11 [size=\"101920768\", alpha=\"0.03\", expect_size=\"50960384\"] \n  11 -> 13 [size =\"50960384\"]\n  11 -> 14 [size =\"50960384\"]\n  11 -> 15 [size =\"50960384\"]\n  11 -> 17 [size =\"50960384\"]\n  12 [size=\"74727424\", alpha=\"0.00\", expect_size=\"37363712\"] \n  12 -> 13 [size =\"37363712\"]\n  13 [size=\"31082496\", alpha=\"0.02\", expect_size=\"15541248\"] \n  13 -> 21 [size =\"15541248\"]\n  13 -> 23 [size =\"15541248\"]\n  14 [size=\"88729600\", alpha=\"0.16\", expect_size=\"44364800\"] \n  14 -> 19 [size =\"44364800\"]\n  14 -> 20 [size =\"44364800\"]\n  15 [size=\"102141952\", alpha=\"0.11\", expect_size=\"51070976\"] \n  15 -> 18 [size =\"51070976\"]\n  15 -> 19 [size =\"51070976\"]\n  15 -> 21 [size =\"51070976\"]\n  15 -> 23 [size =\"51070976\"]\n  16 [size=\"56997888\", alpha=\"0.17\", expect_size=\"28498944\"] \n  16 -> 19 [size =\"28498944\"]\n  16 -> 22 [size =\"28498944\"]\n  17 [size=\"75399168\", alpha=\"0.20\", expect_size=\"37699584\"] \n  17 -> 18 [size =\"37699584\"]\n  18 [size=\"20340736\", alpha=\"0.08\", expect_size=\"10170368\"] \n  18 -> 24 [size =\"10170368\"]\n  18 -> 25 [size =\"10170368\"]\n  18 -> 27 [size =\"10170368\"]\n  18 -> 29 [size =\"10170368\"]\n  19 [size=\"38901760\", alpha=\"0.20\", expect_size=\"19450880\"] \n  19 -> 25 [size =\"19450880\"]\n  19 -> 28 [size =\"19450880\"]\n  19 -> 29 [size =\"19450880\"]\n  20 [size=\"33968128\", alpha=\"0.04\", expect_size=\"16984064\"] \n  20 -> 26 [size =\"16984064\"]\n  20 -> 27 [size =\"16984064\"]\n  21 [size=\"15308800\", alpha=\"0.05\", expect_size=\"7654400\"] \n  21 -> 25 [size =\"7654400\"]\n  21 -> 29 [size =\"7654400\"]\n  22 [size=\"27680768\", alpha=\"0.10\", expect_size=\"13840384\"] \n  22 -> 28 [size =\"13840384\"]\n  23 [size=\"29261824\", alpha=\"0.09\", expect_size=\"14630912\"] \n  23 -> 24 [size =\"14630912\"]\n  23 -> 28 [size =\"14630912\"]\n  24 [size=\"39571456\", alpha=\"0.02\", expect_size=\"19785728\"] \n  24 -> 30 [size =\"19785728\"]\n  25 [size=\"21362688\", alpha=\"0.03\", expect_size=\"10681344\"] \n  25 -> 33 [size =\"10681344\"]\n  25 -> 35 [size =\"10681344\"]\n  26 [size=\"73426944\", alpha=\"0.05\", expect_size=\"36713472\"] \n  26 -> 33 [size =\"36713472\"]\n  26 -> 34 [size =\"36713472\"]\n  26 -> 35 [size =\"36713472\"]\n  27 [size=\"60981248\", alpha=\"0.10\", expect_size=\"30490624\"] \n  27 -> 31 [size =\"30490624\"]\n  27 -> 32 [size =\"30490624\"]\n  27 -> 34 [size =\"30490624\"]\n  27 -> 35 [size =\"30490624\"]\n  28 [size=\"58673152\", alpha=\"0.20\", expect_size=\"29336576\"] \n  28 -> 32 [size =\"29336576\"]\n  28 -> 32 [size =\"29336576\"]\n  29 [size=\"94339072\", alpha=\"0.12\", expect_size=\"47169536\"] \n  29 -> 30 [size =\"47169536\"]\n  29 -> 33 [size =\"47169536\"]\n  30 [size=\"94222336\", alpha=\"0.03\", expect_size=\"47111168\"] \n  30 -> 37 [size =\"47111168\"]\n  30 -> 38 [size =\"47111168\"]\n  30 -> 39 [size =\"47111168\"]\n  31 [size=\"17915904\", alpha=\"0.13\", expect_size=\"8957952\"] \n  31 -> 38 [size =\"8957952\"]\n  31 -> 41 [size =\"8957952\"]\n  32 [size=\"39739392\", alpha=\"0.17\", expect_size=\"19869696\"] \n  32 -> 37 [size =\"19869696\"]\n  32 -> 40 [size =\"19869696\"]\n  33 [size=\"85604352\", alpha=\"0.06\", expect_size=\"42802176\"] \n  33 -> 36 [size =\"42802176\"]\n  33 -> 37 [size =\"42802176\"]\n  34 [size=\"33957888\", alpha=\"0.10\", expect_size=\"16978944\"] \n  34 -> 39 [size =\"16978944\"]\n  35 [size=\"45438976\", alpha=\"0.15\", expect_size=\"22719488\"] \n  35 -> 36 [size =\"22719488\"]\n  35 -> 38 [size =\"22719488\"]\n  35 -> 40 [size =\"22719488\"]\n  36 [size=\"59369472\", alpha=\"0.09\", expect_size=\"29684736\"] \n  36 -> 44 [size =\"29684736\"]\n  36 -> 45 [size =\"29684736\"]\n  37 [size=\"84211712\", alpha=\"0.17\", expect_size=\"42105856\"] \n  38 [size=\"37609472\", alpha=\"0.07\", expect_size=\"18804736\"] \n  38 -> 44 [size =\"18804736\"]\n  39 [size=\"35631104\", alpha=\"0.03\", expect_size=\"17815552\"] \n  39 -> 42 [size =\"17815552\"]\n  39 -> 43 [size =\"17815552\"]\n  39 -> 45 [size =\"17815552\"]\n  40 [size=\"91938816\", alpha=\"0.04\", expect_size=\"45969408\"] \n  40 -> 43 [size =\"45969408\"]\n  41 [size=\"11229184\", alpha=\"0.06\", expect_size=\"5614592\"] \n  42 [size=\"73682944\", alpha=\"0.12\", expect_size=\"36841472\"] \n  43 [size=\"60428288\", alpha=\"0.01\", expect_size=\"30214144\"] \n  44 [size=\"86433792\", alpha=\"0.17\", expect_size=\"43216896\"] \n  45 [size=\"41197568\", alpha=\"0.15\", expect_size=\"20598784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71354880\", alpha=\"0.11\", expect_size=\"28541952\"] \n  2 [size=\"93708800\", alpha=\"0.14\", expect_size=\"37483520\"] \n  2 -> 8 [size =\"37483520\"]\n  2 -> 11 [size =\"37483520\"]\n  3 [size=\"72793600\", alpha=\"0.15\", expect_size=\"29117440\"] \n  3 -> 7 [size =\"29117440\"]\n  3 -> 8 [size =\"29117440\"]\n  3 -> 10 [size =\"29117440\"]\n  4 [size=\"81259520\", alpha=\"0.20\", expect_size=\"32503808\"] \n  4 -> 9 [size =\"32503808\"]\n  5 [size=\"112870400\", alpha=\"0.06\", expect_size=\"45148160\"] \n  5 -> 9 [size =\"45148160\"]\n  6 [size=\"44623360\", alpha=\"0.01\", expect_size=\"17849344\"] \n  6 -> 8 [size =\"17849344\"]\n  6 -> 9 [size =\"17849344\"]\n  6 -> 10 [size =\"17849344\"]\n  7 [size=\"70755840\", alpha=\"0.17\", expect_size=\"28302336\"] \n  7 -> 13 [size =\"28302336\"]\n  7 -> 14 [size =\"28302336\"]\n  7 -> 15 [size =\"28302336\"]\n  7 -> 16 [size =\"28302336\"]\n  8 [size=\"27645440\", alpha=\"0.02\", expect_size=\"11058176\"] \n  8 -> 14 [size =\"11058176\"]\n  8 -> 15 [size =\"11058176\"]\n  9 [size=\"65610240\", alpha=\"0.05\", expect_size=\"26244096\"] \n  9 -> 16 [size =\"26244096\"]\n  10 [size=\"66938880\", alpha=\"0.07\", expect_size=\"26775552\"] \n  10 -> 12 [size =\"26775552\"]\n  10 -> 14 [size =\"26775552\"]\n  11 [size=\"120660480\", alpha=\"0.12\", expect_size=\"48264192\"] \n  11 -> 12 [size =\"48264192\"]\n  11 -> 13 [size =\"48264192\"]\n  11 -> 15 [size =\"48264192\"]\n  12 [size=\"65866240\", alpha=\"0.14\", expect_size=\"26346496\"] \n  12 -> 17 [size =\"26346496\"]\n  12 -> 18 [size =\"26346496\"]\n  12 -> 20 [size =\"26346496\"]\n  13 [size=\"29432320\", alpha=\"0.04\", expect_size=\"11772928\"] \n  13 -> 17 [size =\"11772928\"]\n  13 -> 18 [size =\"11772928\"]\n  13 -> 19 [size =\"11772928\"]\n  13 -> 20 [size =\"11772928\"]\n  13 -> 21 [size =\"11772928\"]\n  14 [size=\"115048960\", alpha=\"0.03\", expect_size=\"46019584\"] \n  14 -> 17 [size =\"46019584\"]\n  14 -> 18 [size =\"46019584\"]\n  14 -> 21 [size =\"46019584\"]\n  15 [size=\"114544640\", alpha=\"0.01\", expect_size=\"45817856\"] \n  15 -> 17 [size =\"45817856\"]\n  15 -> 18 [size =\"45817856\"]\n  15 -> 19 [size =\"45817856\"]\n  16 [size=\"34841600\", alpha=\"0.04\", expect_size=\"13936640\"] \n  16 -> 19 [size =\"13936640\"]\n  16 -> 20 [size =\"13936640\"]\n  17 [size=\"39265280\", alpha=\"0.16\", expect_size=\"15706112\"] \n  17 -> 23 [size =\"15706112\"]\n  17 -> 24 [size =\"15706112\"]\n  17 -> 25 [size =\"15706112\"]\n  17 -> 26 [size =\"15706112\"]\n  18 [size=\"21096960\", alpha=\"0.07\", expect_size=\"8438784\"] \n  18 -> 23 [size =\"8438784\"]\n  18 -> 25 [size =\"8438784\"]\n  19 [size=\"31032320\", alpha=\"0.07\", expect_size=\"12412928\"] \n  19 -> 23 [size =\"12412928\"]\n  19 -> 24 [size =\"12412928\"]\n  19 -> 25 [size =\"12412928\"]\n  20 [size=\"58700800\", alpha=\"0.18\", expect_size=\"23480320\"] \n  20 -> 22 [size =\"23480320\"]\n  20 -> 24 [size =\"23480320\"]\n  20 -> 25 [size =\"23480320\"]\n  21 [size=\"101027840\", alpha=\"0.18\", expect_size=\"40411136\"] \n  21 -> 23 [size =\"40411136\"]\n  22 [size=\"52006400\", alpha=\"0.13\", expect_size=\"20802560\"] \n  22 -> 29 [size =\"20802560\"]\n  22 -> 31 [size =\"20802560\"]\n  23 [size=\"18890240\", alpha=\"0.17\", expect_size=\"7556096\"] \n  23 -> 30 [size =\"7556096\"]\n  24 [size=\"40816640\", alpha=\"0.13\", expect_size=\"16326656\"] \n  24 -> 27 [size =\"16326656\"]\n  24 -> 29 [size =\"16326656\"]\n  24 -> 31 [size =\"16326656\"]\n  25 [size=\"57648640\", alpha=\"0.06\", expect_size=\"23059456\"] \n  25 -> 28 [size =\"23059456\"]\n  25 -> 31 [size =\"23059456\"]\n  26 [size=\"64632320\", alpha=\"0.04\", expect_size=\"25852928\"] \n  26 -> 28 [size =\"25852928\"]\n  26 -> 29 [size =\"25852928\"]\n  26 -> 31 [size =\"25852928\"]\n  27 [size=\"88222720\", alpha=\"0.12\", expect_size=\"35289088\"] \n  27 -> 32 [size =\"35289088\"]\n  27 -> 33 [size =\"35289088\"]\n  27 -> 35 [size =\"35289088\"]\n  27 -> 37 [size =\"35289088\"]\n  28 [size=\"63029760\", alpha=\"0.03\", expect_size=\"25211904\"] \n  28 -> 32 [size =\"25211904\"]\n  28 -> 33 [size =\"25211904\"]\n  28 -> 34 [size =\"25211904\"]\n  28 -> 36 [size =\"25211904\"]\n  28 -> 37 [size =\"25211904\"]\n  29 [size=\"106309120\", alpha=\"0.02\", expect_size=\"42523648\"] \n  29 -> 34 [size =\"42523648\"]\n  30 [size=\"27893760\", alpha=\"0.11\", expect_size=\"11157504\"] \n  30 -> 32 [size =\"11157504\"]\n  30 -> 33 [size =\"11157504\"]\n  30 -> 34 [size =\"11157504\"]\n  30 -> 35 [size =\"11157504\"]\n  30 -> 37 [size =\"11157504\"]\n  31 [size=\"13319680\", alpha=\"0.18\", expect_size=\"5327872\"] \n  31 -> 32 [size =\"5327872\"]\n  31 -> 33 [size =\"5327872\"]\n  31 -> 35 [size =\"5327872\"]\n  32 [size=\"120834560\", alpha=\"0.14\", expect_size=\"48333824\"] \n  32 -> 38 [size =\"48333824\"]\n  32 -> 40 [size =\"48333824\"]\n  32 -> 41 [size =\"48333824\"]\n  32 -> 42 [size =\"48333824\"]\n  33 [size=\"77145600\", alpha=\"0.12\", expect_size=\"30858240\"] \n  33 -> 38 [size =\"30858240\"]\n  33 -> 40 [size =\"30858240\"]\n  33 -> 41 [size =\"30858240\"]\n  33 -> 42 [size =\"30858240\"]\n  34 [size=\"59909120\", alpha=\"0.08\", expect_size=\"23963648\"] \n  34 -> 40 [size =\"23963648\"]\n  34 -> 41 [size =\"23963648\"]\n  35 [size=\"19315200\", alpha=\"0.01\", expect_size=\"7726080\"] \n  35 -> 39 [size =\"7726080\"]\n  35 -> 42 [size =\"7726080\"]\n  36 [size=\"55124480\", alpha=\"0.18\", expect_size=\"22049792\"] \n  36 -> 40 [size =\"22049792\"]\n  36 -> 41 [size =\"22049792\"]\n  37 [size=\"80893440\", alpha=\"0.19\", expect_size=\"32357376\"] \n  37 -> 42 [size =\"32357376\"]\n  38 [size=\"36305920\", alpha=\"0.01\", expect_size=\"14522368\"] \n  38 -> 43 [size =\"14522368\"]\n  39 [size=\"53867520\", alpha=\"0.07\", expect_size=\"21547008\"] \n  39 -> 45 [size =\"21547008\"]\n  40 [size=\"68113920\", alpha=\"0.20\", expect_size=\"27245568\"] \n  40 -> 45 [size =\"27245568\"]\n  41 [size=\"14919680\", alpha=\"0.08\", expect_size=\"5967872\"] \n  41 -> 43 [size =\"5967872\"]\n  41 -> 44 [size =\"5967872\"]\n  42 [size=\"119797760\", alpha=\"0.03\", expect_size=\"47919104\"] \n  42 -> 43 [size =\"47919104\"]\n  42 -> 44 [size =\"47919104\"]\n  42 -> 45 [size =\"47919104\"]\n  43 [size=\"81617920\", alpha=\"0.18\", expect_size=\"32647168\"] \n  44 [size=\"34672640\", alpha=\"0.19\", expect_size=\"13869056\"] \n  45 [size=\"80901120\", alpha=\"0.07\", expect_size=\"32360448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122016427\", alpha=\"0.17\", expect_size=\"36604928\"] \n  1 -> 10 [size =\"36604928\"]\n  2 [size=\"172793173\", alpha=\"0.03\", expect_size=\"51837952\"] \n  2 -> 10 [size =\"51837952\"]\n  3 [size=\"163256320\", alpha=\"0.15\", expect_size=\"48976896\"] \n  3 -> 8 [size =\"48976896\"]\n  3 -> 9 [size =\"48976896\"]\n  4 [size=\"169373013\", alpha=\"0.03\", expect_size=\"50811904\"] \n  5 [size=\"89132373\", alpha=\"0.01\", expect_size=\"26739712\"] \n  5 -> 7 [size =\"26739712\"]\n  5 -> 11 [size =\"26739712\"]\n  5 -> 12 [size =\"26739712\"]\n  6 [size=\"131887787\", alpha=\"0.19\", expect_size=\"39566336\"] \n  6 -> 7 [size =\"39566336\"]\n  6 -> 10 [size =\"39566336\"]\n  7 [size=\"155910827\", alpha=\"0.19\", expect_size=\"46773248\"] \n  7 -> 13 [size =\"46773248\"]\n  8 [size=\"151934293\", alpha=\"0.11\", expect_size=\"45580288\"] \n  8 -> 15 [size =\"45580288\"]\n  8 -> 17 [size =\"45580288\"]\n  9 [size=\"61624320\", alpha=\"0.01\", expect_size=\"18487296\"] \n  9 -> 14 [size =\"18487296\"]\n  9 -> 17 [size =\"18487296\"]\n  10 [size=\"132590933\", alpha=\"0.15\", expect_size=\"39777280\"] \n  10 -> 13 [size =\"39777280\"]\n  11 [size=\"64051200\", alpha=\"0.10\", expect_size=\"19215360\"] \n  11 -> 16 [size =\"19215360\"]\n  11 -> 17 [size =\"19215360\"]\n  12 [size=\"41489067\", alpha=\"0.15\", expect_size=\"12446720\"] \n  12 -> 13 [size =\"12446720\"]\n  13 [size=\"68389547\", alpha=\"0.11\", expect_size=\"20516864\"] \n  13 -> 18 [size =\"20516864\"]\n  13 -> 21 [size =\"20516864\"]\n  14 [size=\"29108907\", alpha=\"0.07\", expect_size=\"8732672\"] \n  14 -> 18 [size =\"8732672\"]\n  14 -> 19 [size =\"8732672\"]\n  14 -> 22 [size =\"8732672\"]\n  15 [size=\"50438827\", alpha=\"0.04\", expect_size=\"15131648\"] \n  15 -> 19 [size =\"15131648\"]\n  15 -> 21 [size =\"15131648\"]\n  16 [size=\"60030293\", alpha=\"0.16\", expect_size=\"18009088\"] \n  17 [size=\"52244480\", alpha=\"0.11\", expect_size=\"15673344\"] \n  17 -> 19 [size =\"15673344\"]\n  17 -> 20 [size =\"15673344\"]\n  18 [size=\"46940160\", alpha=\"0.01\", expect_size=\"14082048\"] \n  18 -> 23 [size =\"14082048\"]\n  18 -> 24 [size =\"14082048\"]\n  18 -> 25 [size =\"14082048\"]\n  19 [size=\"130269867\", alpha=\"0.11\", expect_size=\"39080960\"] \n  19 -> 24 [size =\"39080960\"]\n  19 -> 25 [size =\"39080960\"]\n  19 -> 26 [size =\"39080960\"]\n  19 -> 28 [size =\"39080960\"]\n  20 [size=\"137717760\", alpha=\"0.07\", expect_size=\"41315328\"] \n  20 -> 27 [size =\"41315328\"]\n  21 [size=\"100123307\", alpha=\"0.17\", expect_size=\"30036992\"] \n  21 -> 26 [size =\"30036992\"]\n  21 -> 27 [size =\"30036992\"]\n  22 [size=\"22278827\", alpha=\"0.06\", expect_size=\"6683648\"] \n  22 -> 26 [size =\"6683648\"]\n  23 [size=\"139192320\", alpha=\"0.14\", expect_size=\"41757696\"] \n  23 -> 30 [size =\"41757696\"]\n  24 [size=\"72086187\", alpha=\"0.01\", expect_size=\"21625856\"] \n  24 -> 30 [size =\"21625856\"]\n  24 -> 31 [size =\"21625856\"]\n  24 -> 32 [size =\"21625856\"]\n  24 -> 33 [size =\"21625856\"]\n  25 [size=\"127873707\", alpha=\"0.17\", expect_size=\"38362112\"] \n  25 -> 29 [size =\"38362112\"]\n  25 -> 33 [size =\"38362112\"]\n  26 [size=\"155924480\", alpha=\"0.08\", expect_size=\"46777344\"] \n  27 [size=\"121340587\", alpha=\"0.17\", expect_size=\"36402176\"] \n  27 -> 31 [size =\"36402176\"]\n  28 [size=\"51346773\", alpha=\"0.02\", expect_size=\"15404032\"] \n  28 -> 29 [size =\"15404032\"]\n  28 -> 30 [size =\"15404032\"]\n  29 [size=\"57917440\", alpha=\"0.13\", expect_size=\"17375232\"] \n  29 -> 37 [size =\"17375232\"]\n  30 [size=\"145681067\", alpha=\"0.19\", expect_size=\"43704320\"] \n  30 -> 35 [size =\"43704320\"]\n  31 [size=\"46656853\", alpha=\"0.11\", expect_size=\"13997056\"] \n  31 -> 34 [size =\"13997056\"]\n  32 [size=\"22674773\", alpha=\"0.05\", expect_size=\"6802432\"] \n  32 -> 35 [size =\"6802432\"]\n  32 -> 36 [size =\"6802432\"]\n  32 -> 38 [size =\"6802432\"]\n  33 [size=\"71768747\", alpha=\"0.07\", expect_size=\"21530624\"] \n  33 -> 36 [size =\"21530624\"]\n  33 -> 37 [size =\"21530624\"]\n  33 -> 38 [size =\"21530624\"]\n  34 [size=\"25146027\", alpha=\"0.09\", expect_size=\"7543808\"] \n  34 -> 41 [size =\"7543808\"]\n  34 -> 42 [size =\"7543808\"]\n  35 [size=\"34703360\", alpha=\"0.16\", expect_size=\"10411008\"] \n  35 -> 40 [size =\"10411008\"]\n  35 -> 42 [size =\"10411008\"]\n  35 -> 43 [size =\"10411008\"]\n  36 [size=\"172100267\", alpha=\"0.09\", expect_size=\"51630080\"] \n  36 -> 39 [size =\"51630080\"]\n  37 [size=\"79892480\", alpha=\"0.05\", expect_size=\"23967744\"] \n  37 -> 39 [size =\"23967744\"]\n  37 -> 41 [size =\"23967744\"]\n  37 -> 42 [size =\"23967744\"]\n  37 -> 44 [size =\"23967744\"]\n  38 [size=\"53800960\", alpha=\"0.06\", expect_size=\"16140288\"] \n  38 -> 44 [size =\"16140288\"]\n  39 [size=\"70997333\", alpha=\"0.00\", expect_size=\"21299200\"] \n  40 [size=\"18343253\", alpha=\"0.11\", expect_size=\"5502976\"] \n  41 [size=\"168246613\", alpha=\"0.11\", expect_size=\"50473984\"] \n  41 -> 45 [size =\"50473984\"]\n  42 [size=\"95423147\", alpha=\"0.12\", expect_size=\"28626944\"] \n  43 [size=\"138458453\", alpha=\"0.09\", expect_size=\"41537536\"] \n  44 [size=\"33696427\", alpha=\"0.13\", expect_size=\"10108928\"] \n  45 [size=\"107339093\", alpha=\"0.10\", expect_size=\"32201728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100410027\", alpha=\"0.18\", expect_size=\"30123008\"] \n  1 -> 30 [size =\"30123008\"]\n  1 -> 32 [size =\"30123008\"]\n  1 -> 34 [size =\"30123008\"]\n  1 -> 36 [size =\"30123008\"]\n  1 -> 39 [size =\"30123008\"]\n  1 -> 40 [size =\"30123008\"]\n  1 -> 42 [size =\"30123008\"]\n  1 -> 45 [size =\"30123008\"]\n  2 [size=\"78547627\", alpha=\"0.16\", expect_size=\"23564288\"] \n  2 -> 39 [size =\"23564288\"]\n  2 -> 44 [size =\"23564288\"]\n  2 -> 45 [size =\"23564288\"]\n  3 [size=\"122825387\", alpha=\"0.05\", expect_size=\"36847616\"] \n  3 -> 31 [size =\"36847616\"]\n  3 -> 37 [size =\"36847616\"]\n  3 -> 39 [size =\"36847616\"]\n  3 -> 43 [size =\"36847616\"]\n  3 -> 44 [size =\"36847616\"]\n  4 [size=\"44830720\", alpha=\"0.07\", expect_size=\"13449216\"] \n  4 -> 34 [size =\"13449216\"]\n  4 -> 37 [size =\"13449216\"]\n  4 -> 39 [size =\"13449216\"]\n  4 -> 41 [size =\"13449216\"]\n  4 -> 43 [size =\"13449216\"]\n  5 [size=\"119173120\", alpha=\"0.14\", expect_size=\"35751936\"] \n  5 -> 35 [size =\"35751936\"]\n  5 -> 38 [size =\"35751936\"]\n  5 -> 42 [size =\"35751936\"]\n  5 -> 43 [size =\"35751936\"]\n  5 -> 43 [size =\"35751936\"]\n  5 -> 44 [size =\"35751936\"]\n  6 [size=\"138536960\", alpha=\"0.02\", expect_size=\"41561088\"] \n  6 -> 30 [size =\"41561088\"]\n  6 -> 31 [size =\"41561088\"]\n  6 -> 43 [size =\"41561088\"]\n  6 -> 44 [size =\"41561088\"]\n  6 -> 45 [size =\"41561088\"]\n  7 [size=\"138506240\", alpha=\"0.04\", expect_size=\"41551872\"] \n  7 -> 30 [size =\"41551872\"]\n  7 -> 36 [size =\"41551872\"]\n  7 -> 38 [size =\"41551872\"]\n  7 -> 43 [size =\"41551872\"]\n  7 -> 45 [size =\"41551872\"]\n  8 [size=\"63129600\", alpha=\"0.01\", expect_size=\"18938880\"] \n  8 -> 30 [size =\"18938880\"]\n  8 -> 35 [size =\"18938880\"]\n  8 -> 37 [size =\"18938880\"]\n  8 -> 39 [size =\"18938880\"]\n  8 -> 41 [size =\"18938880\"]\n  8 -> 43 [size =\"18938880\"]\n  9 [size=\"73250133\", alpha=\"0.09\", expect_size=\"21975040\"] \n  9 -> 30 [size =\"21975040\"]\n  9 -> 31 [size =\"21975040\"]\n  9 -> 35 [size =\"21975040\"]\n  9 -> 37 [size =\"21975040\"]\n  9 -> 44 [size =\"21975040\"]\n  10 [size=\"29347840\", alpha=\"0.17\", expect_size=\"8804352\"] \n  10 -> 31 [size =\"8804352\"]\n  10 -> 34 [size =\"8804352\"]\n  10 -> 36 [size =\"8804352\"]\n  10 -> 37 [size =\"8804352\"]\n  10 -> 42 [size =\"8804352\"]\n  11 [size=\"168714240\", alpha=\"0.11\", expect_size=\"50614272\"] \n  11 -> 30 [size =\"50614272\"]\n  11 -> 34 [size =\"50614272\"]\n  11 -> 36 [size =\"50614272\"]\n  11 -> 37 [size =\"50614272\"]\n  12 [size=\"150043307\", alpha=\"0.11\", expect_size=\"45012992\"] \n  12 -> 30 [size =\"45012992\"]\n  12 -> 31 [size =\"45012992\"]\n  12 -> 36 [size =\"45012992\"]\n  12 -> 37 [size =\"45012992\"]\n  12 -> 43 [size =\"45012992\"]\n  12 -> 44 [size =\"45012992\"]\n  13 [size=\"118350507\", alpha=\"0.17\", expect_size=\"35505152\"] \n  13 -> 31 [size =\"35505152\"]\n  13 -> 33 [size =\"35505152\"]\n  13 -> 34 [size =\"35505152\"]\n  13 -> 36 [size =\"35505152\"]\n  13 -> 37 [size =\"35505152\"]\n  13 -> 43 [size =\"35505152\"]\n  14 [size=\"158747307\", alpha=\"0.13\", expect_size=\"47624192\"] \n  14 -> 30 [size =\"47624192\"]\n  14 -> 33 [size =\"47624192\"]\n  14 -> 34 [size =\"47624192\"]\n  14 -> 38 [size =\"47624192\"]\n  14 -> 40 [size =\"47624192\"]\n  14 -> 43 [size =\"47624192\"]\n  15 [size=\"54053547\", alpha=\"0.10\", expect_size=\"16216064\"] \n  15 -> 30 [size =\"16216064\"]\n  15 -> 33 [size =\"16216064\"]\n  15 -> 34 [size =\"16216064\"]\n  15 -> 43 [size =\"16216064\"]\n  16 [size=\"161703253\", alpha=\"0.07\", expect_size=\"48510976\"] \n  16 -> 30 [size =\"48510976\"]\n  16 -> 31 [size =\"48510976\"]\n  16 -> 34 [size =\"48510976\"]\n  16 -> 43 [size =\"48510976\"]\n  17 [size=\"19275093\", alpha=\"0.18\", expect_size=\"5782528\"] \n  17 -> 33 [size =\"5782528\"]\n  17 -> 35 [size =\"5782528\"]\n  17 -> 37 [size =\"5782528\"]\n  17 -> 38 [size =\"5782528\"]\n  17 -> 41 [size =\"5782528\"]\n  17 -> 43 [size =\"5782528\"]\n  17 -> 44 [size =\"5782528\"]\n  17 -> 45 [size =\"5782528\"]\n  18 [size=\"53367467\", alpha=\"0.11\", expect_size=\"16010240\"] \n  18 -> 33 [size =\"16010240\"]\n  18 -> 38 [size =\"16010240\"]\n  18 -> 39 [size =\"16010240\"]\n  19 [size=\"60511573\", alpha=\"0.16\", expect_size=\"18153472\"] \n  19 -> 36 [size =\"18153472\"]\n  19 -> 38 [size =\"18153472\"]\n  20 [size=\"130044587\", alpha=\"0.18\", expect_size=\"39013376\"] \n  20 -> 30 [size =\"39013376\"]\n  20 -> 38 [size =\"39013376\"]\n  21 [size=\"109154987\", alpha=\"0.10\", expect_size=\"32746496\"] \n  21 -> 30 [size =\"32746496\"]\n  21 -> 43 [size =\"32746496\"]\n  22 [size=\"35652267\", alpha=\"0.09\", expect_size=\"10695680\"] \n  22 -> 34 [size =\"10695680\"]\n  23 [size=\"121524907\", alpha=\"0.02\", expect_size=\"36457472\"] \n  23 -> 31 [size =\"36457472\"]\n  23 -> 33 [size =\"36457472\"]\n  23 -> 34 [size =\"36457472\"]\n  23 -> 43 [size =\"36457472\"]\n  23 -> 44 [size =\"36457472\"]\n  24 [size=\"101710507\", alpha=\"0.19\", expect_size=\"30513152\"] \n  24 -> 38 [size =\"30513152\"]\n  24 -> 42 [size =\"30513152\"]\n  25 [size=\"47769600\", alpha=\"0.08\", expect_size=\"14330880\"] \n  25 -> 33 [size =\"14330880\"]\n  25 -> 36 [size =\"14330880\"]\n  25 -> 37 [size =\"14330880\"]\n  25 -> 42 [size =\"14330880\"]\n  25 -> 45 [size =\"14330880\"]\n  26 [size=\"125590187\", alpha=\"0.13\", expect_size=\"37677056\"] \n  26 -> 38 [size =\"37677056\"]\n  26 -> 39 [size =\"37677056\"]\n  27 [size=\"21316267\", alpha=\"0.13\", expect_size=\"6394880\"] \n  27 -> 31 [size =\"6394880\"]\n  27 -> 32 [size =\"6394880\"]\n  27 -> 37 [size =\"6394880\"]\n  27 -> 38 [size =\"6394880\"]\n  27 -> 39 [size =\"6394880\"]\n  27 -> 45 [size =\"6394880\"]\n  28 [size=\"161194667\", alpha=\"0.19\", expect_size=\"48358400\"] \n  28 -> 34 [size =\"48358400\"]\n  28 -> 35 [size =\"48358400\"]\n  28 -> 37 [size =\"48358400\"]\n  29 [size=\"92306773\", alpha=\"0.13\", expect_size=\"27692032\"] \n  29 -> 30 [size =\"27692032\"]\n  29 -> 32 [size =\"27692032\"]\n  29 -> 33 [size =\"27692032\"]\n  29 -> 34 [size =\"27692032\"]\n  29 -> 36 [size =\"27692032\"]\n  29 -> 42 [size =\"27692032\"]\n  30 [size=\"63457280\", alpha=\"0.07\", expect_size=\"19037184\"] \n  31 [size=\"45175467\", alpha=\"0.01\", expect_size=\"13552640\"] \n  32 [size=\"120395093\", alpha=\"0.12\", expect_size=\"36118528\"] \n  33 [size=\"35618133\", alpha=\"0.15\", expect_size=\"10685440\"] \n  34 [size=\"53480107\", alpha=\"0.17\", expect_size=\"16044032\"] \n  35 [size=\"44052480\", alpha=\"0.03\", expect_size=\"13215744\"] \n  36 [size=\"109028693\", alpha=\"0.08\", expect_size=\"32708608\"] \n  37 [size=\"54906880\", alpha=\"0.12\", expect_size=\"16472064\"] \n  38 [size=\"160000000\", alpha=\"0.02\", expect_size=\"48000000\"] \n  39 [size=\"155392000\", alpha=\"0.16\", expect_size=\"46617600\"] \n  40 [size=\"96856747\", alpha=\"0.06\", expect_size=\"29057024\"] \n  41 [size=\"153559040\", alpha=\"0.06\", expect_size=\"46067712\"] \n  42 [size=\"162160640\", alpha=\"0.09\", expect_size=\"48648192\"] \n  43 [size=\"97949013\", alpha=\"0.06\", expect_size=\"29384704\"] \n  44 [size=\"61801813\", alpha=\"0.13\", expect_size=\"18540544\"] \n  45 [size=\"37700267\", alpha=\"0.04\", expect_size=\"11310080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50260480\", alpha=\"0.17\", expect_size=\"20104192\"] \n  1 -> 25 [size =\"20104192\"]\n  1 -> 33 [size =\"20104192\"]\n  1 -> 39 [size =\"20104192\"]\n  2 [size=\"42178560\", alpha=\"0.06\", expect_size=\"16871424\"] \n  2 -> 21 [size =\"16871424\"]\n  2 -> 22 [size =\"16871424\"]\n  2 -> 23 [size =\"16871424\"]\n  2 -> 25 [size =\"16871424\"]\n  2 -> 30 [size =\"16871424\"]\n  2 -> 33 [size =\"16871424\"]\n  3 [size=\"73364480\", alpha=\"0.10\", expect_size=\"29345792\"] \n  3 -> 23 [size =\"29345792\"]\n  3 -> 28 [size =\"29345792\"]\n  3 -> 31 [size =\"29345792\"]\n  3 -> 33 [size =\"29345792\"]\n  3 -> 36 [size =\"29345792\"]\n  3 -> 39 [size =\"29345792\"]\n  4 [size=\"84106240\", alpha=\"0.13\", expect_size=\"33642496\"] \n  4 -> 20 [size =\"33642496\"]\n  4 -> 23 [size =\"33642496\"]\n  4 -> 24 [size =\"33642496\"]\n  4 -> 26 [size =\"33642496\"]\n  4 -> 28 [size =\"33642496\"]\n  4 -> 30 [size =\"33642496\"]\n  4 -> 31 [size =\"33642496\"]\n  4 -> 34 [size =\"33642496\"]\n  4 -> 35 [size =\"33642496\"]\n  4 -> 38 [size =\"33642496\"]\n  5 [size=\"104721920\", alpha=\"0.17\", expect_size=\"41888768\"] \n  5 -> 20 [size =\"41888768\"]\n  5 -> 21 [size =\"41888768\"]\n  5 -> 22 [size =\"41888768\"]\n  5 -> 26 [size =\"41888768\"]\n  5 -> 31 [size =\"41888768\"]\n  5 -> 38 [size =\"41888768\"]\n  5 -> 40 [size =\"41888768\"]\n  6 [size=\"42908160\", alpha=\"0.09\", expect_size=\"17163264\"] \n  6 -> 20 [size =\"17163264\"]\n  6 -> 21 [size =\"17163264\"]\n  6 -> 24 [size =\"17163264\"]\n  6 -> 25 [size =\"17163264\"]\n  6 -> 26 [size =\"17163264\"]\n  6 -> 28 [size =\"17163264\"]\n  6 -> 31 [size =\"17163264\"]\n  6 -> 33 [size =\"17163264\"]\n  6 -> 36 [size =\"17163264\"]\n  6 -> 37 [size =\"17163264\"]\n  7 [size=\"94484480\", alpha=\"0.01\", expect_size=\"37793792\"] \n  7 -> 20 [size =\"37793792\"]\n  7 -> 21 [size =\"37793792\"]\n  7 -> 22 [size =\"37793792\"]\n  7 -> 23 [size =\"37793792\"]\n  7 -> 24 [size =\"37793792\"]\n  7 -> 26 [size =\"37793792\"]\n  7 -> 28 [size =\"37793792\"]\n  7 -> 33 [size =\"37793792\"]\n  8 [size=\"91819520\", alpha=\"0.06\", expect_size=\"36727808\"] \n  8 -> 20 [size =\"36727808\"]\n  8 -> 21 [size =\"36727808\"]\n  8 -> 22 [size =\"36727808\"]\n  8 -> 24 [size =\"36727808\"]\n  8 -> 25 [size =\"36727808\"]\n  8 -> 26 [size =\"36727808\"]\n  8 -> 28 [size =\"36727808\"]\n  8 -> 29 [size =\"36727808\"]\n  8 -> 31 [size =\"36727808\"]\n  8 -> 33 [size =\"36727808\"]\n  8 -> 34 [size =\"36727808\"]\n  8 -> 39 [size =\"36727808\"]\n  9 [size=\"94336000\", alpha=\"0.15\", expect_size=\"37734400\"] \n  9 -> 20 [size =\"37734400\"]\n  9 -> 21 [size =\"37734400\"]\n  9 -> 26 [size =\"37734400\"]\n  9 -> 28 [size =\"37734400\"]\n  9 -> 30 [size =\"37734400\"]\n  9 -> 33 [size =\"37734400\"]\n  9 -> 36 [size =\"37734400\"]\n  10 [size=\"54563840\", alpha=\"0.20\", expect_size=\"21825536\"] \n  10 -> 20 [size =\"21825536\"]\n  10 -> 21 [size =\"21825536\"]\n  10 -> 23 [size =\"21825536\"]\n  10 -> 26 [size =\"21825536\"]\n  10 -> 28 [size =\"21825536\"]\n  10 -> 33 [size =\"21825536\"]\n  10 -> 36 [size =\"21825536\"]\n  11 [size=\"130493440\", alpha=\"0.15\", expect_size=\"52197376\"] \n  11 -> 21 [size =\"52197376\"]\n  11 -> 22 [size =\"52197376\"]\n  11 -> 25 [size =\"52197376\"]\n  11 -> 29 [size =\"52197376\"]\n  11 -> 33 [size =\"52197376\"]\n  11 -> 35 [size =\"52197376\"]\n  11 -> 37 [size =\"52197376\"]\n  12 [size=\"112010240\", alpha=\"0.13\", expect_size=\"44804096\"] \n  12 -> 21 [size =\"44804096\"]\n  12 -> 26 [size =\"44804096\"]\n  12 -> 30 [size =\"44804096\"]\n  12 -> 34 [size =\"44804096\"]\n  12 -> 35 [size =\"44804096\"]\n  12 -> 38 [size =\"44804096\"]\n  12 -> 39 [size =\"44804096\"]\n  13 [size=\"29071360\", alpha=\"0.19\", expect_size=\"11628544\"] \n  13 -> 26 [size =\"11628544\"]\n  13 -> 26 [size =\"11628544\"]\n  13 -> 28 [size =\"11628544\"]\n  13 -> 33 [size =\"11628544\"]\n  13 -> 38 [size =\"11628544\"]\n  13 -> 39 [size =\"11628544\"]\n  14 [size=\"90076160\", alpha=\"0.18\", expect_size=\"36030464\"] \n  14 -> 20 [size =\"36030464\"]\n  14 -> 21 [size =\"36030464\"]\n  14 -> 22 [size =\"36030464\"]\n  14 -> 26 [size =\"36030464\"]\n  14 -> 27 [size =\"36030464\"]\n  14 -> 32 [size =\"36030464\"]\n  14 -> 35 [size =\"36030464\"]\n  14 -> 36 [size =\"36030464\"]\n  14 -> 39 [size =\"36030464\"]\n  15 [size=\"49154560\", alpha=\"0.09\", expect_size=\"19661824\"] \n  15 -> 20 [size =\"19661824\"]\n  15 -> 21 [size =\"19661824\"]\n  15 -> 22 [size =\"19661824\"]\n  15 -> 23 [size =\"19661824\"]\n  15 -> 25 [size =\"19661824\"]\n  15 -> 32 [size =\"19661824\"]\n  15 -> 39 [size =\"19661824\"]\n  15 -> 40 [size =\"19661824\"]\n  16 [size=\"28643840\", alpha=\"0.18\", expect_size=\"11457536\"] \n  16 -> 21 [size =\"11457536\"]\n  16 -> 22 [size =\"11457536\"]\n  16 -> 25 [size =\"11457536\"]\n  16 -> 28 [size =\"11457536\"]\n  16 -> 30 [size =\"11457536\"]\n  16 -> 32 [size =\"11457536\"]\n  16 -> 34 [size =\"11457536\"]\n  16 -> 36 [size =\"11457536\"]\n  16 -> 39 [size =\"11457536\"]\n  17 [size=\"81441280\", alpha=\"0.01\", expect_size=\"32576512\"] \n  17 -> 22 [size =\"32576512\"]\n  17 -> 23 [size =\"32576512\"]\n  17 -> 25 [size =\"32576512\"]\n  17 -> 28 [size =\"32576512\"]\n  17 -> 29 [size =\"32576512\"]\n  17 -> 30 [size =\"32576512\"]\n  17 -> 33 [size =\"32576512\"]\n  17 -> 35 [size =\"32576512\"]\n  17 -> 36 [size =\"32576512\"]\n  17 -> 37 [size =\"32576512\"]\n  17 -> 39 [size =\"32576512\"]\n  18 [size=\"89958400\", alpha=\"0.02\", expect_size=\"35983360\"] \n  18 -> 20 [size =\"35983360\"]\n  18 -> 22 [size =\"35983360\"]\n  18 -> 23 [size =\"35983360\"]\n  18 -> 25 [size =\"35983360\"]\n  18 -> 29 [size =\"35983360\"]\n  18 -> 30 [size =\"35983360\"]\n  19 [size=\"127866880\", alpha=\"0.16\", expect_size=\"51146752\"] \n  19 -> 20 [size =\"51146752\"]\n  19 -> 22 [size =\"51146752\"]\n  19 -> 25 [size =\"51146752\"]\n  19 -> 27 [size =\"51146752\"]\n  19 -> 28 [size =\"51146752\"]\n  19 -> 29 [size =\"51146752\"]\n  19 -> 39 [size =\"51146752\"]\n  20 [size=\"99458560\", alpha=\"0.12\", expect_size=\"39783424\"] \n  20 -> 42 [size =\"39783424\"]\n  20 -> 44 [size =\"39783424\"]\n  21 [size=\"97297920\", alpha=\"0.15\", expect_size=\"38919168\"] \n  21 -> 43 [size =\"38919168\"]\n  21 -> 44 [size =\"38919168\"]\n  22 [size=\"66992640\", alpha=\"0.02\", expect_size=\"26797056\"] \n  22 -> 42 [size =\"26797056\"]\n  22 -> 43 [size =\"26797056\"]\n  22 -> 44 [size =\"26797056\"]\n  23 [size=\"25205760\", alpha=\"0.00\", expect_size=\"10082304\"] \n  23 -> 42 [size =\"10082304\"]\n  23 -> 43 [size =\"10082304\"]\n  24 [size=\"17899520\", alpha=\"0.10\", expect_size=\"7159808\"] \n  24 -> 42 [size =\"7159808\"]\n  24 -> 43 [size =\"7159808\"]\n  25 [size=\"123514880\", alpha=\"0.15\", expect_size=\"49405952\"] \n  25 -> 44 [size =\"49405952\"]\n  25 -> 45 [size =\"49405952\"]\n  26 [size=\"60477440\", alpha=\"0.06\", expect_size=\"24190976\"] \n  26 -> 42 [size =\"24190976\"]\n  27 [size=\"49902080\", alpha=\"0.10\", expect_size=\"19960832\"] \n  28 [size=\"57446400\", alpha=\"0.08\", expect_size=\"22978560\"] \n  28 -> 44 [size =\"22978560\"]\n  29 [size=\"69798400\", alpha=\"0.19\", expect_size=\"27919360\"] \n  29 -> 42 [size =\"27919360\"]\n  29 -> 45 [size =\"27919360\"]\n  30 [size=\"43261440\", alpha=\"0.17\", expect_size=\"17304576\"] \n  30 -> 41 [size =\"17304576\"]\n  30 -> 42 [size =\"17304576\"]\n  30 -> 45 [size =\"17304576\"]\n  31 [size=\"113451520\", alpha=\"0.16\", expect_size=\"45380608\"] \n  32 [size=\"81589760\", alpha=\"0.11\", expect_size=\"32635904\"] \n  32 -> 44 [size =\"32635904\"]\n  32 -> 45 [size =\"32635904\"]\n  33 [size=\"94714880\", alpha=\"0.09\", expect_size=\"37885952\"] \n  33 -> 42 [size =\"37885952\"]\n  33 -> 44 [size =\"37885952\"]\n  33 -> 45 [size =\"37885952\"]\n  34 [size=\"95119360\", alpha=\"0.20\", expect_size=\"38047744\"] \n  34 -> 42 [size =\"38047744\"]\n  34 -> 44 [size =\"38047744\"]\n  34 -> 45 [size =\"38047744\"]\n  35 [size=\"35842560\", alpha=\"0.16\", expect_size=\"14337024\"] \n  35 -> 42 [size =\"14337024\"]\n  35 -> 44 [size =\"14337024\"]\n  36 [size=\"126458880\", alpha=\"0.16\", expect_size=\"50583552\"] \n  36 -> 43 [size =\"50583552\"]\n  37 [size=\"42877440\", alpha=\"0.07\", expect_size=\"17150976\"] \n  37 -> 44 [size =\"17150976\"]\n  37 -> 45 [size =\"17150976\"]\n  38 [size=\"102410240\", alpha=\"0.11\", expect_size=\"40964096\"] \n  38 -> 44 [size =\"40964096\"]\n  39 [size=\"29870080\", alpha=\"0.15\", expect_size=\"11948032\"] \n  39 -> 44 [size =\"11948032\"]\n  40 [size=\"24455680\", alpha=\"0.13\", expect_size=\"9782272\"] \n  40 -> 42 [size =\"9782272\"]\n  40 -> 44 [size =\"9782272\"]\n  41 [size=\"127623680\", alpha=\"0.06\", expect_size=\"51049472\"] \n  42 [size=\"102863360\", alpha=\"0.08\", expect_size=\"41145344\"] \n  43 [size=\"49080320\", alpha=\"0.11\", expect_size=\"19632128\"] \n  44 [size=\"100208640\", alpha=\"0.16\", expect_size=\"40083456\"] \n  45 [size=\"97285120\", alpha=\"0.19\", expect_size=\"38914048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168598187\", alpha=\"0.16\", expect_size=\"50579456\"] \n  1 -> 18 [size =\"50579456\"]\n  1 -> 19 [size =\"50579456\"]\n  1 -> 21 [size =\"50579456\"]\n  1 -> 22 [size =\"50579456\"]\n  1 -> 24 [size =\"50579456\"]\n  1 -> 25 [size =\"50579456\"]\n  1 -> 27 [size =\"50579456\"]\n  1 -> 28 [size =\"50579456\"]\n  1 -> 30 [size =\"50579456\"]\n  1 -> 31 [size =\"50579456\"]\n  2 [size=\"92221440\", alpha=\"0.18\", expect_size=\"27666432\"] \n  2 -> 18 [size =\"27666432\"]\n  2 -> 22 [size =\"27666432\"]\n  2 -> 24 [size =\"27666432\"]\n  2 -> 28 [size =\"27666432\"]\n  2 -> 30 [size =\"27666432\"]\n  3 [size=\"125716480\", alpha=\"0.17\", expect_size=\"37714944\"] \n  3 -> 18 [size =\"37714944\"]\n  3 -> 22 [size =\"37714944\"]\n  3 -> 24 [size =\"37714944\"]\n  3 -> 27 [size =\"37714944\"]\n  4 [size=\"161242453\", alpha=\"0.03\", expect_size=\"48372736\"] \n  4 -> 18 [size =\"48372736\"]\n  4 -> 19 [size =\"48372736\"]\n  4 -> 24 [size =\"48372736\"]\n  4 -> 27 [size =\"48372736\"]\n  4 -> 29 [size =\"48372736\"]\n  4 -> 31 [size =\"48372736\"]\n  5 [size=\"128716800\", alpha=\"0.17\", expect_size=\"38615040\"] \n  5 -> 19 [size =\"38615040\"]\n  5 -> 21 [size =\"38615040\"]\n  5 -> 22 [size =\"38615040\"]\n  5 -> 23 [size =\"38615040\"]\n  5 -> 24 [size =\"38615040\"]\n  5 -> 27 [size =\"38615040\"]\n  5 -> 29 [size =\"38615040\"]\n  6 [size=\"41478827\", alpha=\"0.12\", expect_size=\"12443648\"] \n  6 -> 19 [size =\"12443648\"]\n  6 -> 22 [size =\"12443648\"]\n  6 -> 23 [size =\"12443648\"]\n  6 -> 24 [size =\"12443648\"]\n  6 -> 27 [size =\"12443648\"]\n  6 -> 29 [size =\"12443648\"]\n  6 -> 30 [size =\"12443648\"]\n  7 [size=\"66928640\", alpha=\"0.17\", expect_size=\"20078592\"] \n  7 -> 19 [size =\"20078592\"]\n  7 -> 20 [size =\"20078592\"]\n  7 -> 21 [size =\"20078592\"]\n  7 -> 27 [size =\"20078592\"]\n  7 -> 28 [size =\"20078592\"]\n  7 -> 29 [size =\"20078592\"]\n  7 -> 31 [size =\"20078592\"]\n  8 [size=\"40366080\", alpha=\"0.05\", expect_size=\"12109824\"] \n  8 -> 18 [size =\"12109824\"]\n  8 -> 19 [size =\"12109824\"]\n  8 -> 20 [size =\"12109824\"]\n  8 -> 25 [size =\"12109824\"]\n  8 -> 28 [size =\"12109824\"]\n  8 -> 29 [size =\"12109824\"]\n  8 -> 30 [size =\"12109824\"]\n  8 -> 31 [size =\"12109824\"]\n  9 [size=\"112182613\", alpha=\"0.18\", expect_size=\"33654784\"] \n  9 -> 20 [size =\"33654784\"]\n  9 -> 21 [size =\"33654784\"]\n  9 -> 22 [size =\"33654784\"]\n  9 -> 24 [size =\"33654784\"]\n  9 -> 25 [size =\"33654784\"]\n  9 -> 27 [size =\"33654784\"]\n  9 -> 29 [size =\"33654784\"]\n  9 -> 31 [size =\"33654784\"]\n  10 [size=\"113428480\", alpha=\"0.09\", expect_size=\"34028544\"] \n  10 -> 22 [size =\"34028544\"]\n  10 -> 27 [size =\"34028544\"]\n  10 -> 29 [size =\"34028544\"]\n  11 [size=\"74680320\", alpha=\"0.12\", expect_size=\"22404096\"] \n  11 -> 21 [size =\"22404096\"]\n  11 -> 22 [size =\"22404096\"]\n  11 -> 31 [size =\"22404096\"]\n  12 [size=\"41724587\", alpha=\"0.02\", expect_size=\"12517376\"] \n  12 -> 18 [size =\"12517376\"]\n  12 -> 19 [size =\"12517376\"]\n  12 -> 21 [size =\"12517376\"]\n  12 -> 22 [size =\"12517376\"]\n  12 -> 24 [size =\"12517376\"]\n  12 -> 27 [size =\"12517376\"]\n  13 [size=\"28258987\", alpha=\"0.08\", expect_size=\"8477696\"] \n  13 -> 18 [size =\"8477696\"]\n  13 -> 19 [size =\"8477696\"]\n  13 -> 20 [size =\"8477696\"]\n  13 -> 24 [size =\"8477696\"]\n  13 -> 25 [size =\"8477696\"]\n  13 -> 27 [size =\"8477696\"]\n  13 -> 28 [size =\"8477696\"]\n  13 -> 29 [size =\"8477696\"]\n  14 [size=\"161727147\", alpha=\"0.10\", expect_size=\"48518144\"] \n  14 -> 18 [size =\"48518144\"]\n  14 -> 20 [size =\"48518144\"]\n  14 -> 29 [size =\"48518144\"]\n  15 [size=\"27303253\", alpha=\"0.19\", expect_size=\"8190976\"] \n  15 -> 27 [size =\"8190976\"]\n  15 -> 29 [size =\"8190976\"]\n  15 -> 30 [size =\"8190976\"]\n  15 -> 31 [size =\"8190976\"]\n  16 [size=\"163409920\", alpha=\"0.04\", expect_size=\"49022976\"] \n  16 -> 18 [size =\"49022976\"]\n  16 -> 20 [size =\"49022976\"]\n  16 -> 22 [size =\"49022976\"]\n  16 -> 26 [size =\"49022976\"]\n  16 -> 27 [size =\"49022976\"]\n  16 -> 31 [size =\"49022976\"]\n  17 [size=\"101270187\", alpha=\"0.16\", expect_size=\"30381056\"] \n  17 -> 20 [size =\"30381056\"]\n  17 -> 21 [size =\"30381056\"]\n  17 -> 22 [size =\"30381056\"]\n  17 -> 23 [size =\"30381056\"]\n  17 -> 24 [size =\"30381056\"]\n  17 -> 25 [size =\"30381056\"]\n  17 -> 28 [size =\"30381056\"]\n  18 [size=\"74448213\", alpha=\"0.06\", expect_size=\"22334464\"] \n  18 -> 40 [size =\"22334464\"]\n  18 -> 41 [size =\"22334464\"]\n  18 -> 44 [size =\"22334464\"]\n  18 -> 45 [size =\"22334464\"]\n  19 [size=\"115141973\", alpha=\"0.14\", expect_size=\"34542592\"] \n  19 -> 32 [size =\"34542592\"]\n  19 -> 33 [size =\"34542592\"]\n  19 -> 35 [size =\"34542592\"]\n  19 -> 36 [size =\"34542592\"]\n  19 -> 37 [size =\"34542592\"]\n  19 -> 38 [size =\"34542592\"]\n  19 -> 41 [size =\"34542592\"]\n  19 -> 44 [size =\"34542592\"]\n  19 -> 45 [size =\"34542592\"]\n  20 [size=\"100689920\", alpha=\"0.19\", expect_size=\"30206976\"] \n  20 -> 41 [size =\"30206976\"]\n  20 -> 42 [size =\"30206976\"]\n  20 -> 44 [size =\"30206976\"]\n  21 [size=\"173175467\", alpha=\"0.03\", expect_size=\"51952640\"] \n  21 -> 34 [size =\"51952640\"]\n  21 -> 35 [size =\"51952640\"]\n  21 -> 42 [size =\"51952640\"]\n  21 -> 43 [size =\"51952640\"]\n  21 -> 45 [size =\"51952640\"]\n  22 [size=\"109523627\", alpha=\"0.17\", expect_size=\"32857088\"] \n  22 -> 34 [size =\"32857088\"]\n  22 -> 38 [size =\"32857088\"]\n  22 -> 42 [size =\"32857088\"]\n  22 -> 44 [size =\"32857088\"]\n  23 [size=\"124306773\", alpha=\"0.04\", expect_size=\"37292032\"] \n  23 -> 34 [size =\"37292032\"]\n  23 -> 35 [size =\"37292032\"]\n  23 -> 40 [size =\"37292032\"]\n  23 -> 41 [size =\"37292032\"]\n  23 -> 42 [size =\"37292032\"]\n  23 -> 45 [size =\"37292032\"]\n  24 [size=\"31901013\", alpha=\"0.10\", expect_size=\"9570304\"] \n  24 -> 33 [size =\"9570304\"]\n  24 -> 36 [size =\"9570304\"]\n  24 -> 37 [size =\"9570304\"]\n  24 -> 39 [size =\"9570304\"]\n  24 -> 40 [size =\"9570304\"]\n  24 -> 41 [size =\"9570304\"]\n  25 [size=\"107731627\", alpha=\"0.10\", expect_size=\"32319488\"] \n  25 -> 34 [size =\"32319488\"]\n  25 -> 38 [size =\"32319488\"]\n  25 -> 40 [size =\"32319488\"]\n  25 -> 41 [size =\"32319488\"]\n  26 [size=\"96146773\", alpha=\"0.13\", expect_size=\"28844032\"] \n  26 -> 38 [size =\"28844032\"]\n  26 -> 42 [size =\"28844032\"]\n  26 -> 44 [size =\"28844032\"]\n  27 [size=\"128822613\", alpha=\"0.02\", expect_size=\"38646784\"] \n  27 -> 34 [size =\"38646784\"]\n  27 -> 37 [size =\"38646784\"]\n  27 -> 38 [size =\"38646784\"]\n  27 -> 42 [size =\"38646784\"]\n  27 -> 44 [size =\"38646784\"]\n  28 [size=\"94648320\", alpha=\"0.14\", expect_size=\"28394496\"] \n  28 -> 36 [size =\"28394496\"]\n  28 -> 38 [size =\"28394496\"]\n  28 -> 40 [size =\"28394496\"]\n  28 -> 41 [size =\"28394496\"]\n  28 -> 44 [size =\"28394496\"]\n  29 [size=\"142018560\", alpha=\"0.18\", expect_size=\"42605568\"] \n  29 -> 33 [size =\"42605568\"]\n  29 -> 36 [size =\"42605568\"]\n  29 -> 37 [size =\"42605568\"]\n  29 -> 42 [size =\"42605568\"]\n  29 -> 45 [size =\"42605568\"]\n  30 [size=\"91634347\", alpha=\"0.15\", expect_size=\"27490304\"] \n  30 -> 34 [size =\"27490304\"]\n  30 -> 36 [size =\"27490304\"]\n  30 -> 38 [size =\"27490304\"]\n  30 -> 41 [size =\"27490304\"]\n  30 -> 42 [size =\"27490304\"]\n  31 [size=\"80500053\", alpha=\"0.18\", expect_size=\"24150016\"] \n  31 -> 40 [size =\"24150016\"]\n  31 -> 42 [size =\"24150016\"]\n  32 [size=\"102458027\", alpha=\"0.05\", expect_size=\"30737408\"] \n  33 [size=\"74960213\", alpha=\"0.13\", expect_size=\"22488064\"] \n  34 [size=\"106253653\", alpha=\"0.20\", expect_size=\"31876096\"] \n  35 [size=\"25538560\", alpha=\"0.07\", expect_size=\"7661568\"] \n  36 [size=\"101335040\", alpha=\"0.14\", expect_size=\"30400512\"] \n  37 [size=\"43079680\", alpha=\"0.11\", expect_size=\"12923904\"] \n  38 [size=\"57514667\", alpha=\"0.15\", expect_size=\"17254400\"] \n  39 [size=\"167529813\", alpha=\"0.11\", expect_size=\"50258944\"] \n  40 [size=\"153262080\", alpha=\"0.18\", expect_size=\"45978624\"] \n  41 [size=\"110663680\", alpha=\"0.05\", expect_size=\"33199104\"] \n  42 [size=\"96945493\", alpha=\"0.04\", expect_size=\"29083648\"] \n  43 [size=\"136355840\", alpha=\"0.16\", expect_size=\"40906752\"] \n  44 [size=\"82394453\", alpha=\"0.11\", expect_size=\"24718336\"] \n  45 [size=\"79312213\", alpha=\"0.16\", expect_size=\"23793664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151958187\", alpha=\"0.20\", expect_size=\"45587456\"] \n  1 -> 41 [size =\"45587456\"]\n  1 -> 43 [size =\"45587456\"]\n  2 [size=\"53254827\", alpha=\"0.12\", expect_size=\"15976448\"] \n  2 -> 32 [size =\"15976448\"]\n  2 -> 38 [size =\"15976448\"]\n  2 -> 42 [size =\"15976448\"]\n  3 [size=\"99246080\", alpha=\"0.17\", expect_size=\"29773824\"] \n  3 -> 34 [size =\"29773824\"]\n  3 -> 38 [size =\"29773824\"]\n  3 -> 45 [size =\"29773824\"]\n  4 [size=\"122214400\", alpha=\"0.13\", expect_size=\"36664320\"] \n  4 -> 39 [size =\"36664320\"]\n  4 -> 41 [size =\"36664320\"]\n  4 -> 43 [size =\"36664320\"]\n  4 -> 44 [size =\"36664320\"]\n  5 [size=\"115145387\", alpha=\"0.06\", expect_size=\"34543616\"] \n  5 -> 32 [size =\"34543616\"]\n  5 -> 34 [size =\"34543616\"]\n  5 -> 41 [size =\"34543616\"]\n  6 [size=\"78028800\", alpha=\"0.02\", expect_size=\"23408640\"] \n  6 -> 32 [size =\"23408640\"]\n  6 -> 33 [size =\"23408640\"]\n  6 -> 34 [size =\"23408640\"]\n  6 -> 36 [size =\"23408640\"]\n  6 -> 39 [size =\"23408640\"]\n  6 -> 40 [size =\"23408640\"]\n  7 [size=\"133748053\", alpha=\"0.09\", expect_size=\"40124416\"] \n  7 -> 38 [size =\"40124416\"]\n  8 [size=\"105482240\", alpha=\"0.19\", expect_size=\"31644672\"] \n  8 -> 32 [size =\"31644672\"]\n  8 -> 45 [size =\"31644672\"]\n  9 [size=\"121917440\", alpha=\"0.11\", expect_size=\"36575232\"] \n  9 -> 43 [size =\"36575232\"]\n  10 [size=\"20490240\", alpha=\"0.03\", expect_size=\"6147072\"] \n  10 -> 40 [size =\"6147072\"]\n  10 -> 44 [size =\"6147072\"]\n  11 [size=\"79646720\", alpha=\"0.05\", expect_size=\"23894016\"] \n  11 -> 38 [size =\"23894016\"]\n  11 -> 41 [size =\"23894016\"]\n  11 -> 43 [size =\"23894016\"]\n  12 [size=\"79523840\", alpha=\"0.09\", expect_size=\"23857152\"] \n  12 -> 37 [size =\"23857152\"]\n  12 -> 41 [size =\"23857152\"]\n  13 [size=\"171526827\", alpha=\"0.16\", expect_size=\"51458048\"] \n  13 -> 38 [size =\"51458048\"]\n  14 [size=\"145250987\", alpha=\"0.10\", expect_size=\"43575296\"] \n  14 -> 43 [size =\"43575296\"]\n  14 -> 44 [size =\"43575296\"]\n  15 [size=\"93013333\", alpha=\"0.12\", expect_size=\"27904000\"] \n  15 -> 36 [size =\"27904000\"]\n  15 -> 38 [size =\"27904000\"]\n  15 -> 40 [size =\"27904000\"]\n  16 [size=\"140390400\", alpha=\"0.03\", expect_size=\"42117120\"] \n  16 -> 38 [size =\"42117120\"]\n  17 [size=\"155760640\", alpha=\"0.01\", expect_size=\"46728192\"] \n  17 -> 37 [size =\"46728192\"]\n  17 -> 40 [size =\"46728192\"]\n  18 [size=\"72693760\", alpha=\"0.13\", expect_size=\"21808128\"] \n  18 -> 31 [size =\"21808128\"]\n  18 -> 32 [size =\"21808128\"]\n  18 -> 38 [size =\"21808128\"]\n  18 -> 40 [size =\"21808128\"]\n  18 -> 41 [size =\"21808128\"]\n  18 -> 45 [size =\"21808128\"]\n  19 [size=\"67440640\", alpha=\"0.12\", expect_size=\"20232192\"] \n  19 -> 32 [size =\"20232192\"]\n  19 -> 35 [size =\"20232192\"]\n  19 -> 37 [size =\"20232192\"]\n  19 -> 43 [size =\"20232192\"]\n  20 [size=\"154105173\", alpha=\"0.09\", expect_size=\"46231552\"] \n  20 -> 31 [size =\"46231552\"]\n  20 -> 36 [size =\"46231552\"]\n  20 -> 38 [size =\"46231552\"]\n  20 -> 40 [size =\"46231552\"]\n  20 -> 45 [size =\"46231552\"]\n  21 [size=\"18244267\", alpha=\"0.02\", expect_size=\"5473280\"] \n  21 -> 34 [size =\"5473280\"]\n  21 -> 37 [size =\"5473280\"]\n  21 -> 39 [size =\"5473280\"]\n  21 -> 40 [size =\"5473280\"]\n  21 -> 45 [size =\"5473280\"]\n  22 [size=\"55053653\", alpha=\"0.01\", expect_size=\"16516096\"] \n  22 -> 32 [size =\"16516096\"]\n  22 -> 34 [size =\"16516096\"]\n  22 -> 38 [size =\"16516096\"]\n  22 -> 40 [size =\"16516096\"]\n  22 -> 44 [size =\"16516096\"]\n  23 [size=\"122269013\", alpha=\"0.09\", expect_size=\"36680704\"] \n  23 -> 34 [size =\"36680704\"]\n  23 -> 39 [size =\"36680704\"]\n  23 -> 40 [size =\"36680704\"]\n  23 -> 40 [size =\"36680704\"]\n  24 [size=\"87674880\", alpha=\"0.11\", expect_size=\"26302464\"] \n  24 -> 32 [size =\"26302464\"]\n  24 -> 40 [size =\"26302464\"]\n  25 [size=\"164874240\", alpha=\"0.05\", expect_size=\"49462272\"] \n  25 -> 37 [size =\"49462272\"]\n  25 -> 45 [size =\"49462272\"]\n  26 [size=\"103560533\", alpha=\"0.07\", expect_size=\"31068160\"] \n  26 -> 40 [size =\"31068160\"]\n  26 -> 44 [size =\"31068160\"]\n  27 [size=\"125665280\", alpha=\"0.04\", expect_size=\"37699584\"] \n  27 -> 31 [size =\"37699584\"]\n  27 -> 37 [size =\"37699584\"]\n  27 -> 43 [size =\"37699584\"]\n  28 [size=\"133990400\", alpha=\"0.12\", expect_size=\"40197120\"] \n  28 -> 32 [size =\"40197120\"]\n  28 -> 34 [size =\"40197120\"]\n  28 -> 36 [size =\"40197120\"]\n  28 -> 38 [size =\"40197120\"]\n  28 -> 40 [size =\"40197120\"]\n  28 -> 42 [size =\"40197120\"]\n  29 [size=\"78144853\", alpha=\"0.13\", expect_size=\"23443456\"] \n  29 -> 38 [size =\"23443456\"]\n  29 -> 40 [size =\"23443456\"]\n  29 -> 41 [size =\"23443456\"]\n  30 [size=\"18797227\", alpha=\"0.15\", expect_size=\"5639168\"] \n  30 -> 31 [size =\"5639168\"]\n  30 -> 45 [size =\"5639168\"]\n  31 [size=\"88971947\", alpha=\"0.04\", expect_size=\"26691584\"] \n  32 [size=\"108581547\", alpha=\"0.02\", expect_size=\"32574464\"] \n  33 [size=\"113404587\", alpha=\"0.19\", expect_size=\"34021376\"] \n  34 [size=\"27927893\", alpha=\"0.12\", expect_size=\"8378368\"] \n  35 [size=\"114176000\", alpha=\"0.15\", expect_size=\"34252800\"] \n  36 [size=\"155248640\", alpha=\"0.13\", expect_size=\"46574592\"] \n  37 [size=\"54411947\", alpha=\"0.09\", expect_size=\"16323584\"] \n  38 [size=\"85230933\", alpha=\"0.12\", expect_size=\"25569280\"] \n  39 [size=\"21131947\", alpha=\"0.02\", expect_size=\"6339584\"] \n  40 [size=\"123852800\", alpha=\"0.08\", expect_size=\"37155840\"] \n  41 [size=\"81827840\", alpha=\"0.15\", expect_size=\"24548352\"] \n  42 [size=\"114520747\", alpha=\"0.07\", expect_size=\"34356224\"] \n  43 [size=\"126692693\", alpha=\"0.12\", expect_size=\"38007808\"] \n  44 [size=\"115111253\", alpha=\"0.06\", expect_size=\"34533376\"] \n  45 [size=\"50264747\", alpha=\"0.19\", expect_size=\"15079424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91744256\", alpha=\"0.08\", expect_size=\"45872128\"] \n  1 -> 17 [size =\"45872128\"]\n  2 [size=\"73484288\", alpha=\"0.00\", expect_size=\"36742144\"] \n  2 -> 12 [size =\"36742144\"]\n  2 -> 17 [size =\"36742144\"]\n  2 -> 18 [size =\"36742144\"]\n  2 -> 20 [size =\"36742144\"]\n  3 [size=\"90042368\", alpha=\"0.00\", expect_size=\"45021184\"] \n  3 -> 13 [size =\"45021184\"]\n  3 -> 15 [size =\"45021184\"]\n  3 -> 19 [size =\"45021184\"]\n  4 [size=\"82282496\", alpha=\"0.10\", expect_size=\"41141248\"] \n  4 -> 12 [size =\"41141248\"]\n  4 -> 14 [size =\"41141248\"]\n  5 [size=\"71983104\", alpha=\"0.08\", expect_size=\"35991552\"] \n  5 -> 14 [size =\"35991552\"]\n  5 -> 14 [size =\"35991552\"]\n  5 -> 18 [size =\"35991552\"]\n  6 [size=\"95991808\", alpha=\"0.10\", expect_size=\"47995904\"] \n  6 -> 14 [size =\"47995904\"]\n  6 -> 15 [size =\"47995904\"]\n  6 -> 18 [size =\"47995904\"]\n  7 [size=\"91549696\", alpha=\"0.11\", expect_size=\"45774848\"] \n  7 -> 12 [size =\"45774848\"]\n  7 -> 14 [size =\"45774848\"]\n  7 -> 16 [size =\"45774848\"]\n  8 [size=\"48504832\", alpha=\"0.07\", expect_size=\"24252416\"] \n  8 -> 12 [size =\"24252416\"]\n  8 -> 16 [size =\"24252416\"]\n  9 [size=\"77395968\", alpha=\"0.00\", expect_size=\"38697984\"] \n  9 -> 12 [size =\"38697984\"]\n  9 -> 15 [size =\"38697984\"]\n  9 -> 18 [size =\"38697984\"]\n  10 [size=\"10977280\", alpha=\"0.19\", expect_size=\"5488640\"] \n  10 -> 12 [size =\"5488640\"]\n  10 -> 14 [size =\"5488640\"]\n  10 -> 15 [size =\"5488640\"]\n  10 -> 16 [size =\"5488640\"]\n  10 -> 18 [size =\"5488640\"]\n  10 -> 20 [size =\"5488640\"]\n  11 [size=\"32780288\", alpha=\"0.03\", expect_size=\"16390144\"] \n  11 -> 12 [size =\"16390144\"]\n  11 -> 13 [size =\"16390144\"]\n  11 -> 15 [size =\"16390144\"]\n  11 -> 18 [size =\"16390144\"]\n  11 -> 20 [size =\"16390144\"]\n  12 [size=\"71180288\", alpha=\"0.05\", expect_size=\"35590144\"] \n  12 -> 21 [size =\"35590144\"]\n  12 -> 22 [size =\"35590144\"]\n  12 -> 23 [size =\"35590144\"]\n  12 -> 25 [size =\"35590144\"]\n  12 -> 26 [size =\"35590144\"]\n  12 -> 30 [size =\"35590144\"]\n  12 -> 32 [size =\"35590144\"]\n  12 -> 34 [size =\"35590144\"]\n  12 -> 35 [size =\"35590144\"]\n  12 -> 40 [size =\"35590144\"]\n  13 [size=\"72292352\", alpha=\"0.05\", expect_size=\"36146176\"] \n  13 -> 22 [size =\"36146176\"]\n  13 -> 23 [size =\"36146176\"]\n  13 -> 27 [size =\"36146176\"]\n  13 -> 34 [size =\"36146176\"]\n  13 -> 37 [size =\"36146176\"]\n  13 -> 39 [size =\"36146176\"]\n  14 [size=\"72390656\", alpha=\"0.06\", expect_size=\"36195328\"] \n  14 -> 22 [size =\"36195328\"]\n  14 -> 26 [size =\"36195328\"]\n  14 -> 28 [size =\"36195328\"]\n  14 -> 31 [size =\"36195328\"]\n  14 -> 35 [size =\"36195328\"]\n  14 -> 36 [size =\"36195328\"]\n  14 -> 37 [size =\"36195328\"]\n  14 -> 39 [size =\"36195328\"]\n  14 -> 40 [size =\"36195328\"]\n  15 [size=\"27443200\", alpha=\"0.14\", expect_size=\"13721600\"] \n  15 -> 22 [size =\"13721600\"]\n  15 -> 23 [size =\"13721600\"]\n  15 -> 26 [size =\"13721600\"]\n  15 -> 28 [size =\"13721600\"]\n  15 -> 29 [size =\"13721600\"]\n  15 -> 34 [size =\"13721600\"]\n  15 -> 37 [size =\"13721600\"]\n  15 -> 40 [size =\"13721600\"]\n  16 [size=\"65097728\", alpha=\"0.12\", expect_size=\"32548864\"] \n  16 -> 23 [size =\"32548864\"]\n  16 -> 26 [size =\"32548864\"]\n  16 -> 31 [size =\"32548864\"]\n  16 -> 38 [size =\"32548864\"]\n  16 -> 40 [size =\"32548864\"]\n  17 [size=\"17868800\", alpha=\"0.17\", expect_size=\"8934400\"] \n  17 -> 23 [size =\"8934400\"]\n  17 -> 28 [size =\"8934400\"]\n  17 -> 29 [size =\"8934400\"]\n  17 -> 34 [size =\"8934400\"]\n  17 -> 35 [size =\"8934400\"]\n  18 [size=\"67481600\", alpha=\"0.09\", expect_size=\"33740800\"] \n  18 -> 21 [size =\"33740800\"]\n  18 -> 24 [size =\"33740800\"]\n  18 -> 26 [size =\"33740800\"]\n  18 -> 28 [size =\"33740800\"]\n  18 -> 29 [size =\"33740800\"]\n  18 -> 30 [size =\"33740800\"]\n  18 -> 33 [size =\"33740800\"]\n  18 -> 34 [size =\"33740800\"]\n  18 -> 35 [size =\"33740800\"]\n  18 -> 38 [size =\"33740800\"]\n  18 -> 39 [size =\"33740800\"]\n  19 [size=\"99409920\", alpha=\"0.01\", expect_size=\"49704960\"] \n  19 -> 35 [size =\"49704960\"]\n  19 -> 40 [size =\"49704960\"]\n  20 [size=\"101222400\", alpha=\"0.17\", expect_size=\"50611200\"] \n  20 -> 22 [size =\"50611200\"]\n  20 -> 31 [size =\"50611200\"]\n  20 -> 36 [size =\"50611200\"]\n  20 -> 39 [size =\"50611200\"]\n  21 [size=\"98631680\", alpha=\"0.11\", expect_size=\"49315840\"] \n  21 -> 45 [size =\"49315840\"]\n  22 [size=\"16852992\", alpha=\"0.18\", expect_size=\"8426496\"] \n  22 -> 41 [size =\"8426496\"]\n  22 -> 45 [size =\"8426496\"]\n  23 [size=\"40884224\", alpha=\"0.01\", expect_size=\"20442112\"] \n  23 -> 45 [size =\"20442112\"]\n  23 -> 45 [size =\"20442112\"]\n  24 [size=\"62875648\", alpha=\"0.00\", expect_size=\"31437824\"] \n  24 -> 41 [size =\"31437824\"]\n  24 -> 42 [size =\"31437824\"]\n  24 -> 44 [size =\"31437824\"]\n  25 [size=\"93444096\", alpha=\"0.12\", expect_size=\"46722048\"] \n  25 -> 41 [size =\"46722048\"]\n  26 [size=\"67198976\", alpha=\"0.02\", expect_size=\"33599488\"] \n  26 -> 42 [size =\"33599488\"]\n  26 -> 44 [size =\"33599488\"]\n  27 [size=\"28278784\", alpha=\"0.10\", expect_size=\"14139392\"] \n  27 -> 41 [size =\"14139392\"]\n  27 -> 42 [size =\"14139392\"]\n  27 -> 43 [size =\"14139392\"]\n  27 -> 44 [size =\"14139392\"]\n  27 -> 45 [size =\"14139392\"]\n  28 [size=\"15818752\", alpha=\"0.05\", expect_size=\"7909376\"] \n  28 -> 42 [size =\"7909376\"]\n  28 -> 43 [size =\"7909376\"]\n  28 -> 44 [size =\"7909376\"]\n  29 [size=\"56059904\", alpha=\"0.14\", expect_size=\"28029952\"] \n  29 -> 42 [size =\"28029952\"]\n  29 -> 43 [size =\"28029952\"]\n  29 -> 44 [size =\"28029952\"]\n  30 [size=\"60184576\", alpha=\"0.04\", expect_size=\"30092288\"] \n  30 -> 41 [size =\"30092288\"]\n  30 -> 42 [size =\"30092288\"]\n  30 -> 44 [size =\"30092288\"]\n  30 -> 45 [size =\"30092288\"]\n  31 [size=\"46788608\", alpha=\"0.18\", expect_size=\"23394304\"] \n  31 -> 42 [size =\"23394304\"]\n  32 [size=\"97132544\", alpha=\"0.06\", expect_size=\"48566272\"] \n  33 [size=\"85471232\", alpha=\"0.06\", expect_size=\"42735616\"] \n  33 -> 45 [size =\"42735616\"]\n  34 [size=\"91361280\", alpha=\"0.19\", expect_size=\"45680640\"] \n  34 -> 42 [size =\"45680640\"]\n  35 [size=\"92229632\", alpha=\"0.16\", expect_size=\"46114816\"] \n  35 -> 44 [size =\"46114816\"]\n  35 -> 45 [size =\"46114816\"]\n  36 [size=\"55201792\", alpha=\"0.05\", expect_size=\"27600896\"] \n  37 [size=\"65785856\", alpha=\"0.15\", expect_size=\"32892928\"] \n  37 -> 45 [size =\"32892928\"]\n  38 [size=\"16302080\", alpha=\"0.17\", expect_size=\"8151040\"] \n  38 -> 42 [size =\"8151040\"]\n  38 -> 45 [size =\"8151040\"]\n  39 [size=\"39145472\", alpha=\"0.18\", expect_size=\"19572736\"] \n  39 -> 44 [size =\"19572736\"]\n  40 [size=\"12480512\", alpha=\"0.19\", expect_size=\"6240256\"] \n  40 -> 42 [size =\"6240256\"]\n  41 [size=\"31176704\", alpha=\"0.18\", expect_size=\"15588352\"] \n  42 [size=\"23154688\", alpha=\"0.18\", expect_size=\"11577344\"] \n  43 [size=\"49113088\", alpha=\"0.05\", expect_size=\"24556544\"] \n  44 [size=\"76484608\", alpha=\"0.03\", expect_size=\"38242304\"] \n  45 [size=\"72804352\", alpha=\"0.18\", expect_size=\"36402176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25871360\", alpha=\"0.01\", expect_size=\"10348544\"] \n  1 -> 2 [size =\"10348544\"]\n  2 [size=\"77893120\", alpha=\"0.16\", expect_size=\"31157248\"] \n  2 -> 3 [size =\"31157248\"]\n  3 [size=\"81075200\", alpha=\"0.11\", expect_size=\"32430080\"] \n  3 -> 4 [size =\"32430080\"]\n  4 [size=\"26990080\", alpha=\"0.09\", expect_size=\"10796032\"] \n  4 -> 5 [size =\"10796032\"]\n  5 [size=\"26933760\", alpha=\"0.17\", expect_size=\"10773504\"] \n  5 -> 6 [size =\"10773504\"]\n  6 [size=\"117721600\", alpha=\"0.16\", expect_size=\"47088640\"] \n  6 -> 7 [size =\"47088640\"]\n  7 [size=\"34721280\", alpha=\"0.12\", expect_size=\"13888512\"] \n  7 -> 8 [size =\"13888512\"]\n  8 [size=\"97205760\", alpha=\"0.11\", expect_size=\"38882304\"] \n  8 -> 9 [size =\"38882304\"]\n  9 [size=\"72701440\", alpha=\"0.04\", expect_size=\"29080576\"] \n  9 -> 10 [size =\"29080576\"]\n  10 [size=\"91601920\", alpha=\"0.13\", expect_size=\"36640768\"] \n  10 -> 11 [size =\"36640768\"]\n  11 [size=\"95357440\", alpha=\"0.11\", expect_size=\"38142976\"] \n  11 -> 12 [size =\"38142976\"]\n  12 [size=\"101918720\", alpha=\"0.16\", expect_size=\"40767488\"] \n  12 -> 13 [size =\"40767488\"]\n  13 [size=\"77893120\", alpha=\"0.03\", expect_size=\"31157248\"] \n  13 -> 14 [size =\"31157248\"]\n  14 [size=\"27712000\", alpha=\"0.10\", expect_size=\"11084800\"] \n  14 -> 15 [size =\"11084800\"]\n  15 [size=\"81157120\", alpha=\"0.12\", expect_size=\"32462848\"] \n  15 -> 16 [size =\"32462848\"]\n  16 [size=\"65620480\", alpha=\"0.00\", expect_size=\"26248192\"] \n  16 -> 17 [size =\"26248192\"]\n  17 [size=\"42219520\", alpha=\"0.06\", expect_size=\"16887808\"] \n  17 -> 18 [size =\"16887808\"]\n  18 [size=\"114496000\", alpha=\"0.00\", expect_size=\"45798400\"] \n  18 -> 19 [size =\"45798400\"]\n  19 [size=\"62673920\", alpha=\"0.09\", expect_size=\"25069568\"] \n  19 -> 20 [size =\"25069568\"]\n  20 [size=\"86238720\", alpha=\"0.18\", expect_size=\"34495488\"] \n  20 -> 21 [size =\"34495488\"]\n  21 [size=\"45501440\", alpha=\"0.10\", expect_size=\"18200576\"] \n  21 -> 22 [size =\"18200576\"]\n  22 [size=\"112445440\", alpha=\"0.12\", expect_size=\"44978176\"] \n  22 -> 23 [size =\"44978176\"]\n  23 [size=\"86976000\", alpha=\"0.06\", expect_size=\"34790400\"] \n  23 -> 24 [size =\"34790400\"]\n  24 [size=\"102412800\", alpha=\"0.02\", expect_size=\"40965120\"] \n  24 -> 25 [size =\"40965120\"]\n  25 [size=\"42183680\", alpha=\"0.01\", expect_size=\"16873472\"] \n  25 -> 26 [size =\"16873472\"]\n  26 [size=\"114081280\", alpha=\"0.17\", expect_size=\"45632512\"] \n  26 -> 27 [size =\"45632512\"]\n  27 [size=\"116357120\", alpha=\"0.17\", expect_size=\"46542848\"] \n  27 -> 28 [size =\"46542848\"]\n  28 [size=\"31971840\", alpha=\"0.11\", expect_size=\"12788736\"] \n  28 -> 29 [size =\"12788736\"]\n  29 [size=\"33909760\", alpha=\"0.16\", expect_size=\"13563904\"] \n  29 -> 30 [size =\"13563904\"]\n  30 [size=\"87751680\", alpha=\"0.14\", expect_size=\"35100672\"] \n  30 -> 31 [size =\"35100672\"]\n  31 [size=\"78059520\", alpha=\"0.05\", expect_size=\"31223808\"] \n  31 -> 32 [size =\"31223808\"]\n  32 [size=\"17602560\", alpha=\"0.12\", expect_size=\"7041024\"] \n  32 -> 33 [size =\"7041024\"]\n  33 [size=\"89128960\", alpha=\"0.09\", expect_size=\"35651584\"] \n  33 -> 34 [size =\"35651584\"]\n  34 [size=\"124679680\", alpha=\"0.10\", expect_size=\"49871872\"] \n  34 -> 35 [size =\"49871872\"]\n  35 [size=\"20175360\", alpha=\"0.01\", expect_size=\"8070144\"] \n  35 -> 36 [size =\"8070144\"]\n  36 [size=\"25369600\", alpha=\"0.02\", expect_size=\"10147840\"] \n  36 -> 37 [size =\"10147840\"]\n  37 [size=\"126919680\", alpha=\"0.07\", expect_size=\"50767872\"] \n  37 -> 38 [size =\"50767872\"]\n  38 [size=\"110507520\", alpha=\"0.10\", expect_size=\"44203008\"] \n  38 -> 39 [size =\"44203008\"]\n  39 [size=\"60231680\", alpha=\"0.01\", expect_size=\"24092672\"] \n  39 -> 40 [size =\"24092672\"]\n  40 [size=\"35691520\", alpha=\"0.05\", expect_size=\"14276608\"] \n  40 -> 41 [size =\"14276608\"]\n  41 [size=\"115381760\", alpha=\"0.14\", expect_size=\"46152704\"] \n  41 -> 42 [size =\"46152704\"]\n  42 [size=\"27660800\", alpha=\"0.20\", expect_size=\"11064320\"] \n  42 -> 43 [size =\"11064320\"]\n  43 [size=\"97272320\", alpha=\"0.18\", expect_size=\"38908928\"] \n  43 -> 44 [size =\"38908928\"]\n  44 [size=\"35107840\", alpha=\"0.11\", expect_size=\"14043136\"] \n  44 -> 45 [size =\"14043136\"]\n  45 [size=\"91704320\", alpha=\"0.10\", expect_size=\"36681728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41529344\", alpha=\"0.15\", expect_size=\"20764672\"] \n  1 -> 7 [size =\"20764672\"]\n  1 -> 10 [size =\"20764672\"]\n  2 [size=\"16039936\", alpha=\"0.15\", expect_size=\"8019968\"] \n  2 -> 7 [size =\"8019968\"]\n  2 -> 9 [size =\"8019968\"]\n  2 -> 10 [size =\"8019968\"]\n  2 -> 11 [size =\"8019968\"]\n  3 [size=\"46571520\", alpha=\"0.12\", expect_size=\"23285760\"] \n  3 -> 8 [size =\"23285760\"]\n  3 -> 9 [size =\"23285760\"]\n  3 -> 10 [size =\"23285760\"]\n  4 [size=\"102148096\", alpha=\"0.05\", expect_size=\"51074048\"] \n  4 -> 7 [size =\"51074048\"]\n  4 -> 8 [size =\"51074048\"]\n  4 -> 9 [size =\"51074048\"]\n  4 -> 10 [size =\"51074048\"]\n  4 -> 11 [size =\"51074048\"]\n  4 -> 12 [size =\"51074048\"]\n  5 [size=\"41435136\", alpha=\"0.01\", expect_size=\"20717568\"] \n  5 -> 7 [size =\"20717568\"]\n  5 -> 8 [size =\"20717568\"]\n  5 -> 11 [size =\"20717568\"]\n  5 -> 12 [size =\"20717568\"]\n  6 [size=\"66134016\", alpha=\"0.13\", expect_size=\"33067008\"] \n  6 -> 12 [size =\"33067008\"]\n  7 [size=\"56657920\", alpha=\"0.07\", expect_size=\"28328960\"] \n  7 -> 13 [size =\"28328960\"]\n  7 -> 15 [size =\"28328960\"]\n  7 -> 17 [size =\"28328960\"]\n  7 -> 18 [size =\"28328960\"]\n  8 [size=\"89180160\", alpha=\"0.18\", expect_size=\"44590080\"] \n  8 -> 14 [size =\"44590080\"]\n  8 -> 18 [size =\"44590080\"]\n  9 [size=\"45449216\", alpha=\"0.19\", expect_size=\"22724608\"] \n  9 -> 14 [size =\"22724608\"]\n  9 -> 16 [size =\"22724608\"]\n  10 [size=\"71917568\", alpha=\"0.03\", expect_size=\"35958784\"] \n  10 -> 13 [size =\"35958784\"]\n  10 -> 14 [size =\"35958784\"]\n  10 -> 15 [size =\"35958784\"]\n  11 [size=\"30150656\", alpha=\"0.11\", expect_size=\"15075328\"] \n  11 -> 14 [size =\"15075328\"]\n  11 -> 15 [size =\"15075328\"]\n  12 [size=\"101015552\", alpha=\"0.16\", expect_size=\"50507776\"] \n  12 -> 13 [size =\"50507776\"]\n  12 -> 14 [size =\"50507776\"]\n  12 -> 15 [size =\"50507776\"]\n  13 [size=\"79302656\", alpha=\"0.11\", expect_size=\"39651328\"] \n  13 -> 21 [size =\"39651328\"]\n  13 -> 22 [size =\"39651328\"]\n  13 -> 23 [size =\"39651328\"]\n  14 [size=\"39690240\", alpha=\"0.05\", expect_size=\"19845120\"] \n  14 -> 19 [size =\"19845120\"]\n  14 -> 24 [size =\"19845120\"]\n  15 [size=\"61124608\", alpha=\"0.10\", expect_size=\"30562304\"] \n  15 -> 19 [size =\"30562304\"]\n  15 -> 22 [size =\"30562304\"]\n  16 [size=\"66426880\", alpha=\"0.11\", expect_size=\"33213440\"] \n  16 -> 19 [size =\"33213440\"]\n  16 -> 22 [size =\"33213440\"]\n  16 -> 23 [size =\"33213440\"]\n  17 [size=\"33951744\", alpha=\"0.01\", expect_size=\"16975872\"] \n  17 -> 19 [size =\"16975872\"]\n  17 -> 23 [size =\"16975872\"]\n  17 -> 24 [size =\"16975872\"]\n  18 [size=\"68067328\", alpha=\"0.10\", expect_size=\"34033664\"] \n  18 -> 20 [size =\"34033664\"]\n  18 -> 21 [size =\"34033664\"]\n  19 [size=\"60585984\", alpha=\"0.15\", expect_size=\"30292992\"] \n  19 -> 26 [size =\"30292992\"]\n  19 -> 27 [size =\"30292992\"]\n  20 [size=\"55752704\", alpha=\"0.05\", expect_size=\"27876352\"] \n  20 -> 25 [size =\"27876352\"]\n  20 -> 28 [size =\"27876352\"]\n  21 [size=\"68857856\", alpha=\"0.01\", expect_size=\"34428928\"] \n  21 -> 26 [size =\"34428928\"]\n  21 -> 27 [size =\"34428928\"]\n  21 -> 28 [size =\"34428928\"]\n  22 [size=\"24537088\", alpha=\"0.19\", expect_size=\"12268544\"] \n  22 -> 29 [size =\"12268544\"]\n  23 [size=\"98822144\", alpha=\"0.04\", expect_size=\"49411072\"] \n  23 -> 26 [size =\"49411072\"]\n  24 [size=\"54114304\", alpha=\"0.08\", expect_size=\"27057152\"] \n  24 -> 26 [size =\"27057152\"]\n  25 [size=\"77293568\", alpha=\"0.19\", expect_size=\"38646784\"] \n  25 -> 32 [size =\"38646784\"]\n  25 -> 33 [size =\"38646784\"]\n  25 -> 34 [size =\"38646784\"]\n  26 [size=\"30869504\", alpha=\"0.02\", expect_size=\"15434752\"] \n  26 -> 30 [size =\"15434752\"]\n  26 -> 32 [size =\"15434752\"]\n  26 -> 34 [size =\"15434752\"]\n  27 [size=\"81561600\", alpha=\"0.15\", expect_size=\"40780800\"] \n  27 -> 30 [size =\"40780800\"]\n  27 -> 31 [size =\"40780800\"]\n  28 [size=\"86794240\", alpha=\"0.04\", expect_size=\"43397120\"] \n  28 -> 30 [size =\"43397120\"]\n  28 -> 33 [size =\"43397120\"]\n  28 -> 34 [size =\"43397120\"]\n  29 [size=\"39331840\", alpha=\"0.01\", expect_size=\"19665920\"] \n  29 -> 32 [size =\"19665920\"]\n  29 -> 33 [size =\"19665920\"]\n  29 -> 34 [size =\"19665920\"]\n  30 [size=\"16386048\", alpha=\"0.11\", expect_size=\"8193024\"] \n  30 -> 35 [size =\"8193024\"]\n  30 -> 36 [size =\"8193024\"]\n  30 -> 37 [size =\"8193024\"]\n  31 [size=\"39225344\", alpha=\"0.05\", expect_size=\"19612672\"] \n  31 -> 35 [size =\"19612672\"]\n  31 -> 37 [size =\"19612672\"]\n  31 -> 39 [size =\"19612672\"]\n  32 [size=\"44523520\", alpha=\"0.18\", expect_size=\"22261760\"] \n  33 [size=\"37832704\", alpha=\"0.06\", expect_size=\"18916352\"] \n  33 -> 36 [size =\"18916352\"]\n  33 -> 37 [size =\"18916352\"]\n  33 -> 38 [size =\"18916352\"]\n  33 -> 39 [size =\"18916352\"]\n  34 [size=\"55240704\", alpha=\"0.19\", expect_size=\"27620352\"] \n  34 -> 35 [size =\"27620352\"]\n  34 -> 36 [size =\"27620352\"]\n  34 -> 37 [size =\"27620352\"]\n  34 -> 39 [size =\"27620352\"]\n  35 [size=\"94035968\", alpha=\"0.04\", expect_size=\"47017984\"] \n  35 -> 43 [size =\"47017984\"]\n  35 -> 44 [size =\"47017984\"]\n  36 [size=\"90800128\", alpha=\"0.01\", expect_size=\"45400064\"] \n  36 -> 42 [size =\"45400064\"]\n  37 [size=\"101179392\", alpha=\"0.02\", expect_size=\"50589696\"] \n  37 -> 40 [size =\"50589696\"]\n  37 -> 41 [size =\"50589696\"]\n  37 -> 42 [size =\"50589696\"]\n  37 -> 44 [size =\"50589696\"]\n  38 [size=\"76980224\", alpha=\"0.16\", expect_size=\"38490112\"] \n  38 -> 40 [size =\"38490112\"]\n  38 -> 41 [size =\"38490112\"]\n  38 -> 42 [size =\"38490112\"]\n  38 -> 43 [size =\"38490112\"]\n  39 [size=\"96892928\", alpha=\"0.00\", expect_size=\"48446464\"] \n  39 -> 41 [size =\"48446464\"]\n  39 -> 41 [size =\"48446464\"]\n  39 -> 43 [size =\"48446464\"]\n  39 -> 44 [size =\"48446464\"]\n  40 [size=\"101511168\", alpha=\"0.14\", expect_size=\"50755584\"] \n  40 -> 45 [size =\"50755584\"]\n  41 [size=\"57896960\", alpha=\"0.00\", expect_size=\"28948480\"] \n  42 [size=\"80087040\", alpha=\"0.09\", expect_size=\"40043520\"] \n  42 -> 45 [size =\"40043520\"]\n  43 [size=\"69871616\", alpha=\"0.17\", expect_size=\"34935808\"] \n  43 -> 45 [size =\"34935808\"]\n  44 [size=\"96065536\", alpha=\"0.15\", expect_size=\"48032768\"] \n  45 [size=\"93505536\", alpha=\"0.06\", expect_size=\"46752768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66725888\", alpha=\"0.17\", expect_size=\"33362944\"] \n  1 -> 16 [size =\"33362944\"]\n  1 -> 20 [size =\"33362944\"]\n  1 -> 22 [size =\"33362944\"]\n  1 -> 26 [size =\"33362944\"]\n  2 [size=\"90339328\", alpha=\"0.17\", expect_size=\"45169664\"] \n  2 -> 15 [size =\"45169664\"]\n  2 -> 16 [size =\"45169664\"]\n  2 -> 17 [size =\"45169664\"]\n  2 -> 18 [size =\"45169664\"]\n  2 -> 20 [size =\"45169664\"]\n  2 -> 21 [size =\"45169664\"]\n  2 -> 23 [size =\"45169664\"]\n  2 -> 24 [size =\"45169664\"]\n  2 -> 25 [size =\"45169664\"]\n  2 -> 27 [size =\"45169664\"]\n  3 [size=\"46260224\", alpha=\"0.12\", expect_size=\"23130112\"] \n  3 -> 15 [size =\"23130112\"]\n  3 -> 16 [size =\"23130112\"]\n  3 -> 19 [size =\"23130112\"]\n  3 -> 20 [size =\"23130112\"]\n  3 -> 21 [size =\"23130112\"]\n  3 -> 21 [size =\"23130112\"]\n  3 -> 24 [size =\"23130112\"]\n  3 -> 27 [size =\"23130112\"]\n  4 [size=\"101629952\", alpha=\"0.07\", expect_size=\"50814976\"] \n  4 -> 19 [size =\"50814976\"]\n  4 -> 20 [size =\"50814976\"]\n  4 -> 24 [size =\"50814976\"]\n  5 [size=\"93128704\", alpha=\"0.03\", expect_size=\"46564352\"] \n  5 -> 18 [size =\"46564352\"]\n  5 -> 20 [size =\"46564352\"]\n  5 -> 21 [size =\"46564352\"]\n  5 -> 24 [size =\"46564352\"]\n  5 -> 25 [size =\"46564352\"]\n  6 [size=\"15280128\", alpha=\"0.14\", expect_size=\"7640064\"] \n  6 -> 18 [size =\"7640064\"]\n  6 -> 20 [size =\"7640064\"]\n  6 -> 22 [size =\"7640064\"]\n  6 -> 27 [size =\"7640064\"]\n  7 [size=\"26286080\", alpha=\"0.09\", expect_size=\"13143040\"] \n  7 -> 16 [size =\"13143040\"]\n  7 -> 21 [size =\"13143040\"]\n  7 -> 22 [size =\"13143040\"]\n  7 -> 23 [size =\"13143040\"]\n  7 -> 27 [size =\"13143040\"]\n  8 [size=\"87597056\", alpha=\"0.12\", expect_size=\"43798528\"] \n  8 -> 15 [size =\"43798528\"]\n  8 -> 17 [size =\"43798528\"]\n  8 -> 19 [size =\"43798528\"]\n  8 -> 25 [size =\"43798528\"]\n  8 -> 26 [size =\"43798528\"]\n  8 -> 27 [size =\"43798528\"]\n  9 [size=\"64843776\", alpha=\"0.10\", expect_size=\"32421888\"] \n  9 -> 17 [size =\"32421888\"]\n  9 -> 24 [size =\"32421888\"]\n  9 -> 25 [size =\"32421888\"]\n  10 [size=\"39327744\", alpha=\"0.03\", expect_size=\"19663872\"] \n  10 -> 15 [size =\"19663872\"]\n  10 -> 16 [size =\"19663872\"]\n  10 -> 17 [size =\"19663872\"]\n  10 -> 23 [size =\"19663872\"]\n  10 -> 24 [size =\"19663872\"]\n  10 -> 26 [size =\"19663872\"]\n  11 [size=\"87597056\", alpha=\"0.14\", expect_size=\"43798528\"] \n  11 -> 18 [size =\"43798528\"]\n  11 -> 20 [size =\"43798528\"]\n  11 -> 21 [size =\"43798528\"]\n  11 -> 23 [size =\"43798528\"]\n  11 -> 25 [size =\"43798528\"]\n  12 [size=\"73551872\", alpha=\"0.11\", expect_size=\"36775936\"] \n  12 -> 15 [size =\"36775936\"]\n  12 -> 18 [size =\"36775936\"]\n  12 -> 21 [size =\"36775936\"]\n  12 -> 26 [size =\"36775936\"]\n  13 [size=\"59486208\", alpha=\"0.13\", expect_size=\"29743104\"] \n  13 -> 15 [size =\"29743104\"]\n  13 -> 16 [size =\"29743104\"]\n  13 -> 18 [size =\"29743104\"]\n  13 -> 21 [size =\"29743104\"]\n  13 -> 22 [size =\"29743104\"]\n  13 -> 26 [size =\"29743104\"]\n  14 [size=\"22403072\", alpha=\"0.05\", expect_size=\"11201536\"] \n  14 -> 16 [size =\"11201536\"]\n  14 -> 20 [size =\"11201536\"]\n  14 -> 21 [size =\"11201536\"]\n  14 -> 21 [size =\"11201536\"]\n  14 -> 22 [size =\"11201536\"]\n  14 -> 26 [size =\"11201536\"]\n  15 [size=\"56702976\", alpha=\"0.04\", expect_size=\"28351488\"] \n  15 -> 30 [size =\"28351488\"]\n  15 -> 32 [size =\"28351488\"]\n  15 -> 33 [size =\"28351488\"]\n  15 -> 35 [size =\"28351488\"]\n  16 [size=\"73097216\", alpha=\"0.07\", expect_size=\"36548608\"] \n  16 -> 32 [size =\"36548608\"]\n  16 -> 33 [size =\"36548608\"]\n  16 -> 35 [size =\"36548608\"]\n  16 -> 39 [size =\"36548608\"]\n  16 -> 40 [size =\"36548608\"]\n  17 [size=\"46579712\", alpha=\"0.02\", expect_size=\"23289856\"] \n  17 -> 35 [size =\"23289856\"]\n  17 -> 39 [size =\"23289856\"]\n  17 -> 41 [size =\"23289856\"]\n  18 [size=\"88807424\", alpha=\"0.00\", expect_size=\"44403712\"] \n  18 -> 29 [size =\"44403712\"]\n  18 -> 31 [size =\"44403712\"]\n  18 -> 34 [size =\"44403712\"]\n  18 -> 35 [size =\"44403712\"]\n  18 -> 36 [size =\"44403712\"]\n  18 -> 37 [size =\"44403712\"]\n  19 [size=\"53372928\", alpha=\"0.07\", expect_size=\"26686464\"] \n  19 -> 28 [size =\"26686464\"]\n  19 -> 31 [size =\"26686464\"]\n  19 -> 34 [size =\"26686464\"]\n  19 -> 39 [size =\"26686464\"]\n  19 -> 40 [size =\"26686464\"]\n  19 -> 41 [size =\"26686464\"]\n  20 [size=\"99463168\", alpha=\"0.02\", expect_size=\"49731584\"] \n  20 -> 29 [size =\"49731584\"]\n  20 -> 34 [size =\"49731584\"]\n  20 -> 35 [size =\"49731584\"]\n  20 -> 41 [size =\"49731584\"]\n  21 [size=\"19544064\", alpha=\"0.08\", expect_size=\"9772032\"] \n  21 -> 29 [size =\"9772032\"]\n  21 -> 32 [size =\"9772032\"]\n  21 -> 33 [size =\"9772032\"]\n  21 -> 34 [size =\"9772032\"]\n  21 -> 35 [size =\"9772032\"]\n  21 -> 39 [size =\"9772032\"]\n  21 -> 40 [size =\"9772032\"]\n  22 [size=\"85436416\", alpha=\"0.11\", expect_size=\"42718208\"] \n  22 -> 29 [size =\"42718208\"]\n  22 -> 37 [size =\"42718208\"]\n  22 -> 39 [size =\"42718208\"]\n  22 -> 40 [size =\"42718208\"]\n  23 [size=\"42242048\", alpha=\"0.02\", expect_size=\"21121024\"] \n  23 -> 30 [size =\"21121024\"]\n  23 -> 33 [size =\"21121024\"]\n  23 -> 39 [size =\"21121024\"]\n  23 -> 40 [size =\"21121024\"]\n  24 [size=\"11016192\", alpha=\"0.12\", expect_size=\"5508096\"] \n  24 -> 31 [size =\"5508096\"]\n  24 -> 33 [size =\"5508096\"]\n  24 -> 39 [size =\"5508096\"]\n  24 -> 40 [size =\"5508096\"]\n  25 [size=\"32462848\", alpha=\"0.20\", expect_size=\"16231424\"] \n  25 -> 31 [size =\"16231424\"]\n  25 -> 33 [size =\"16231424\"]\n  25 -> 35 [size =\"16231424\"]\n  25 -> 38 [size =\"16231424\"]\n  25 -> 40 [size =\"16231424\"]\n  26 [size=\"49725440\", alpha=\"0.09\", expect_size=\"24862720\"] \n  26 -> 32 [size =\"24862720\"]\n  26 -> 33 [size =\"24862720\"]\n  26 -> 34 [size =\"24862720\"]\n  26 -> 39 [size =\"24862720\"]\n  26 -> 40 [size =\"24862720\"]\n  27 [size=\"81666048\", alpha=\"0.01\", expect_size=\"40833024\"] \n  27 -> 29 [size =\"40833024\"]\n  27 -> 33 [size =\"40833024\"]\n  27 -> 34 [size =\"40833024\"]\n  27 -> 40 [size =\"40833024\"]\n  28 [size=\"91416576\", alpha=\"0.09\", expect_size=\"45708288\"] \n  28 -> 42 [size =\"45708288\"]\n  28 -> 45 [size =\"45708288\"]\n  29 [size=\"91439104\", alpha=\"0.09\", expect_size=\"45719552\"] \n  29 -> 45 [size =\"45719552\"]\n  30 [size=\"32137216\", alpha=\"0.15\", expect_size=\"16068608\"] \n  30 -> 44 [size =\"16068608\"]\n  30 -> 45 [size =\"16068608\"]\n  31 [size=\"40759296\", alpha=\"0.17\", expect_size=\"20379648\"] \n  31 -> 45 [size =\"20379648\"]\n  32 [size=\"79173632\", alpha=\"0.13\", expect_size=\"39586816\"] \n  32 -> 45 [size =\"39586816\"]\n  33 [size=\"38492160\", alpha=\"0.19\", expect_size=\"19246080\"] \n  33 -> 42 [size =\"19246080\"]\n  34 [size=\"48861184\", alpha=\"0.08\", expect_size=\"24430592\"] \n  35 [size=\"12685312\", alpha=\"0.06\", expect_size=\"6342656\"] \n  36 [size=\"12605440\", alpha=\"0.18\", expect_size=\"6302720\"] \n  36 -> 42 [size =\"6302720\"]\n  36 -> 43 [size =\"6302720\"]\n  36 -> 44 [size =\"6302720\"]\n  36 -> 45 [size =\"6302720\"]\n  37 [size=\"53417984\", alpha=\"0.17\", expect_size=\"26708992\"] \n  37 -> 42 [size =\"26708992\"]\n  37 -> 44 [size =\"26708992\"]\n  37 -> 45 [size =\"26708992\"]\n  38 [size=\"56551424\", alpha=\"0.13\", expect_size=\"28275712\"] \n  39 [size=\"99117056\", alpha=\"0.18\", expect_size=\"49558528\"] \n  39 -> 45 [size =\"49558528\"]\n  40 [size=\"46731264\", alpha=\"0.02\", expect_size=\"23365632\"] \n  40 -> 44 [size =\"23365632\"]\n  40 -> 45 [size =\"23365632\"]\n  41 [size=\"22607872\", alpha=\"0.08\", expect_size=\"11303936\"] \n  41 -> 44 [size =\"11303936\"]\n  42 [size=\"103858176\", alpha=\"0.09\", expect_size=\"51929088\"] \n  43 [size=\"70434816\", alpha=\"0.18\", expect_size=\"35217408\"] \n  44 [size=\"65708032\", alpha=\"0.06\", expect_size=\"32854016\"] \n  45 [size=\"101597184\", alpha=\"0.19\", expect_size=\"50798592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166283947\", alpha=\"0.20\", expect_size=\"49885184\"] \n  1 -> 5 [size =\"49885184\"]\n  2 [size=\"135557120\", alpha=\"0.15\", expect_size=\"40667136\"] \n  2 -> 4 [size =\"40667136\"]\n  2 -> 5 [size =\"40667136\"]\n  3 [size=\"54879573\", alpha=\"0.09\", expect_size=\"16463872\"] \n  3 -> 4 [size =\"16463872\"]\n  4 [size=\"37778773\", alpha=\"0.02\", expect_size=\"11333632\"] \n  4 -> 6 [size =\"11333632\"]\n  4 -> 7 [size =\"11333632\"]\n  5 [size=\"38000640\", alpha=\"0.08\", expect_size=\"11400192\"] \n  5 -> 6 [size =\"11400192\"]\n  5 -> 7 [size =\"11400192\"]\n  6 [size=\"90391893\", alpha=\"0.14\", expect_size=\"27117568\"] \n  7 [size=\"94740480\", alpha=\"0.18\", expect_size=\"28422144\"] \n  7 -> 8 [size =\"28422144\"]\n  7 -> 9 [size =\"28422144\"]\n  8 [size=\"160610987\", alpha=\"0.02\", expect_size=\"48183296\"] \n  8 -> 10 [size =\"48183296\"]\n  8 -> 11 [size =\"48183296\"]\n  9 [size=\"30900907\", alpha=\"0.06\", expect_size=\"9270272\"] \n  9 -> 10 [size =\"9270272\"]\n  10 [size=\"126109013\", alpha=\"0.06\", expect_size=\"37832704\"] \n  10 -> 12 [size =\"37832704\"]\n  10 -> 14 [size =\"37832704\"]\n  11 [size=\"157924693\", alpha=\"0.14\", expect_size=\"47377408\"] \n  11 -> 12 [size =\"47377408\"]\n  11 -> 13 [size =\"47377408\"]\n  12 [size=\"155395413\", alpha=\"0.12\", expect_size=\"46618624\"] \n  13 [size=\"114647040\", alpha=\"0.00\", expect_size=\"34394112\"] \n  13 -> 15 [size =\"34394112\"]\n  14 [size=\"28815360\", alpha=\"0.09\", expect_size=\"8644608\"] \n  14 -> 15 [size =\"8644608\"]\n  14 -> 16 [size =\"8644608\"]\n  15 [size=\"47561387\", alpha=\"0.06\", expect_size=\"14268416\"] \n  15 -> 18 [size =\"14268416\"]\n  16 [size=\"112547840\", alpha=\"0.01\", expect_size=\"33764352\"] \n  16 -> 17 [size =\"33764352\"]\n  16 -> 18 [size =\"33764352\"]\n  17 [size=\"67061760\", alpha=\"0.08\", expect_size=\"20118528\"] \n  17 -> 19 [size =\"20118528\"]\n  17 -> 20 [size =\"20118528\"]\n  17 -> 21 [size =\"20118528\"]\n  18 [size=\"51834880\", alpha=\"0.20\", expect_size=\"15550464\"] \n  18 -> 19 [size =\"15550464\"]\n  18 -> 20 [size =\"15550464\"]\n  19 [size=\"70502400\", alpha=\"0.13\", expect_size=\"21150720\"] \n  19 -> 22 [size =\"21150720\"]\n  19 -> 23 [size =\"21150720\"]\n  20 [size=\"121507840\", alpha=\"0.05\", expect_size=\"36452352\"] \n  20 -> 23 [size =\"36452352\"]\n  21 [size=\"164788907\", alpha=\"0.17\", expect_size=\"49436672\"] \n  22 [size=\"120125440\", alpha=\"0.04\", expect_size=\"36037632\"] \n  22 -> 24 [size =\"36037632\"]\n  22 -> 25 [size =\"36037632\"]\n  23 [size=\"55241387\", alpha=\"0.16\", expect_size=\"16572416\"] \n  24 [size=\"55282347\", alpha=\"0.10\", expect_size=\"16584704\"] \n  24 -> 26 [size =\"16584704\"]\n  25 [size=\"127576747\", alpha=\"0.07\", expect_size=\"38273024\"] \n  25 -> 27 [size =\"38273024\"]\n  26 [size=\"173963947\", alpha=\"0.13\", expect_size=\"52189184\"] \n  26 -> 29 [size =\"52189184\"]\n  27 [size=\"25975467\", alpha=\"0.09\", expect_size=\"7792640\"] \n  27 -> 28 [size =\"7792640\"]\n  27 -> 29 [size =\"7792640\"]\n  28 [size=\"87313067\", alpha=\"0.03\", expect_size=\"26193920\"] \n  28 -> 31 [size =\"26193920\"]\n  29 [size=\"86671360\", alpha=\"0.18\", expect_size=\"26001408\"] \n  29 -> 30 [size =\"26001408\"]\n  29 -> 31 [size =\"26001408\"]\n  30 [size=\"28037120\", alpha=\"0.08\", expect_size=\"8411136\"] \n  30 -> 32 [size =\"8411136\"]\n  30 -> 33 [size =\"8411136\"]\n  31 [size=\"70847147\", alpha=\"0.16\", expect_size=\"21254144\"] \n  31 -> 33 [size =\"21254144\"]\n  32 [size=\"49332907\", alpha=\"0.01\", expect_size=\"14799872\"] \n  32 -> 34 [size =\"14799872\"]\n  32 -> 35 [size =\"14799872\"]\n  33 [size=\"81582080\", alpha=\"0.18\", expect_size=\"24474624\"] \n  33 -> 35 [size =\"24474624\"]\n  34 [size=\"47711573\", alpha=\"0.17\", expect_size=\"14313472\"] \n  34 -> 36 [size =\"14313472\"]\n  34 -> 38 [size =\"14313472\"]\n  35 [size=\"125313707\", alpha=\"0.19\", expect_size=\"37594112\"] \n  35 -> 36 [size =\"37594112\"]\n  35 -> 37 [size =\"37594112\"]\n  36 [size=\"20340053\", alpha=\"0.14\", expect_size=\"6102016\"] \n  37 [size=\"120282453\", alpha=\"0.15\", expect_size=\"36084736\"] \n  37 -> 39 [size =\"36084736\"]\n  37 -> 40 [size =\"36084736\"]\n  38 [size=\"30549333\", alpha=\"0.00\", expect_size=\"9164800\"] \n  38 -> 39 [size =\"9164800\"]\n  38 -> 40 [size =\"9164800\"]\n  39 [size=\"51565227\", alpha=\"0.13\", expect_size=\"15469568\"] \n  39 -> 42 [size =\"15469568\"]\n  39 -> 43 [size =\"15469568\"]\n  40 [size=\"39464960\", alpha=\"0.18\", expect_size=\"11839488\"] \n  40 -> 41 [size =\"11839488\"]\n  40 -> 43 [size =\"11839488\"]\n  41 [size=\"102888107\", alpha=\"0.02\", expect_size=\"30866432\"] \n  41 -> 45 [size =\"30866432\"]\n  42 [size=\"67710293\", alpha=\"0.19\", expect_size=\"20313088\"] \n  42 -> 44 [size =\"20313088\"]\n  43 [size=\"71850667\", alpha=\"0.01\", expect_size=\"21555200\"] \n  43 -> 44 [size =\"21555200\"]\n  43 -> 45 [size =\"21555200\"]\n  44 [size=\"55193600\", alpha=\"0.08\", expect_size=\"16558080\"] \n  45 [size=\"29085013\", alpha=\"0.09\", expect_size=\"8725504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103292928\", alpha=\"0.14\", expect_size=\"51646464\"] \n  1 -> 44 [size =\"51646464\"]\n  2 [size=\"92897280\", alpha=\"0.02\", expect_size=\"46448640\"] \n  2 -> 42 [size =\"46448640\"]\n  2 -> 43 [size =\"46448640\"]\n  3 [size=\"74733568\", alpha=\"0.19\", expect_size=\"37366784\"] \n  3 -> 42 [size =\"37366784\"]\n  3 -> 43 [size =\"37366784\"]\n  3 -> 45 [size =\"37366784\"]\n  4 [size=\"20168704\", alpha=\"0.16\", expect_size=\"10084352\"] \n  4 -> 42 [size =\"10084352\"]\n  5 [size=\"58882048\", alpha=\"0.19\", expect_size=\"29441024\"] \n  5 -> 42 [size =\"29441024\"]\n  5 -> 43 [size =\"29441024\"]\n  6 [size=\"14934016\", alpha=\"0.11\", expect_size=\"7467008\"] \n  6 -> 42 [size =\"7467008\"]\n  6 -> 45 [size =\"7467008\"]\n  7 [size=\"19585024\", alpha=\"0.08\", expect_size=\"9792512\"] \n  7 -> 42 [size =\"9792512\"]\n  7 -> 44 [size =\"9792512\"]\n  8 [size=\"57602048\", alpha=\"0.14\", expect_size=\"28801024\"] \n  9 [size=\"73181184\", alpha=\"0.13\", expect_size=\"36590592\"] \n  9 -> 43 [size =\"36590592\"]\n  9 -> 45 [size =\"36590592\"]\n  10 [size=\"82630656\", alpha=\"0.10\", expect_size=\"41315328\"] \n  10 -> 45 [size =\"41315328\"]\n  11 [size=\"19236864\", alpha=\"0.19\", expect_size=\"9618432\"] \n  12 [size=\"85469184\", alpha=\"0.10\", expect_size=\"42734592\"] \n  13 [size=\"96634880\", alpha=\"0.07\", expect_size=\"48317440\"] \n  14 [size=\"90812416\", alpha=\"0.07\", expect_size=\"45406208\"] \n  15 [size=\"69990400\", alpha=\"0.20\", expect_size=\"34995200\"] \n  15 -> 42 [size =\"34995200\"]\n  15 -> 43 [size =\"34995200\"]\n  15 -> 44 [size =\"34995200\"]\n  16 [size=\"67063808\", alpha=\"0.17\", expect_size=\"33531904\"] \n  17 [size=\"22364160\", alpha=\"0.18\", expect_size=\"11182080\"] \n  17 -> 43 [size =\"11182080\"]\n  18 [size=\"59164672\", alpha=\"0.14\", expect_size=\"29582336\"] \n  19 [size=\"30851072\", alpha=\"0.01\", expect_size=\"15425536\"] \n  19 -> 43 [size =\"15425536\"]\n  20 [size=\"91240448\", alpha=\"0.15\", expect_size=\"45620224\"] \n  20 -> 42 [size =\"45620224\"]\n  20 -> 43 [size =\"45620224\"]\n  20 -> 45 [size =\"45620224\"]\n  21 [size=\"46102528\", alpha=\"0.08\", expect_size=\"23051264\"] \n  21 -> 43 [size =\"23051264\"]\n  22 [size=\"41971712\", alpha=\"0.19\", expect_size=\"20985856\"] \n  23 [size=\"86939648\", alpha=\"0.04\", expect_size=\"43469824\"] \n  24 [size=\"24576000\", alpha=\"0.11\", expect_size=\"12288000\"] \n  24 -> 42 [size =\"12288000\"]\n  25 [size=\"58423296\", alpha=\"0.08\", expect_size=\"29211648\"] \n  25 -> 43 [size =\"29211648\"]\n  26 [size=\"57059328\", alpha=\"0.06\", expect_size=\"28529664\"] \n  26 -> 42 [size =\"28529664\"]\n  26 -> 43 [size =\"28529664\"]\n  27 [size=\"40617984\", alpha=\"0.06\", expect_size=\"20308992\"] \n  28 [size=\"29204480\", alpha=\"0.16\", expect_size=\"14602240\"] \n  28 -> 42 [size =\"14602240\"]\n  28 -> 45 [size =\"14602240\"]\n  29 [size=\"96681984\", alpha=\"0.19\", expect_size=\"48340992\"] \n  29 -> 42 [size =\"48340992\"]\n  29 -> 45 [size =\"48340992\"]\n  30 [size=\"99106816\", alpha=\"0.18\", expect_size=\"49553408\"] \n  30 -> 42 [size =\"49553408\"]\n  31 [size=\"73244672\", alpha=\"0.18\", expect_size=\"36622336\"] \n  31 -> 42 [size =\"36622336\"]\n  31 -> 43 [size =\"36622336\"]\n  31 -> 44 [size =\"36622336\"]\n  32 [size=\"17532928\", alpha=\"0.14\", expect_size=\"8766464\"] \n  33 [size=\"14381056\", alpha=\"0.09\", expect_size=\"7190528\"] \n  34 [size=\"33669120\", alpha=\"0.00\", expect_size=\"16834560\"] \n  35 [size=\"85080064\", alpha=\"0.04\", expect_size=\"42540032\"] \n  35 -> 42 [size =\"42540032\"]\n  36 [size=\"28266496\", alpha=\"0.00\", expect_size=\"14133248\"] \n  36 -> 42 [size =\"14133248\"]\n  37 [size=\"56420352\", alpha=\"0.19\", expect_size=\"28210176\"] \n  38 [size=\"84273152\", alpha=\"0.08\", expect_size=\"42136576\"] \n  38 -> 44 [size =\"42136576\"]\n  39 [size=\"64567296\", alpha=\"0.01\", expect_size=\"32283648\"] \n  39 -> 42 [size =\"32283648\"]\n  39 -> 43 [size =\"32283648\"]\n  39 -> 44 [size =\"32283648\"]\n  40 [size=\"60002304\", alpha=\"0.12\", expect_size=\"30001152\"] \n  40 -> 43 [size =\"30001152\"]\n  41 [size=\"48353280\", alpha=\"0.10\", expect_size=\"24176640\"] \n  42 [size=\"38371328\", alpha=\"0.14\", expect_size=\"19185664\"] \n  43 [size=\"10668032\", alpha=\"0.15\", expect_size=\"5334016\"] \n  44 [size=\"51396608\", alpha=\"0.19\", expect_size=\"25698304\"] \n  45 [size=\"52135936\", alpha=\"0.13\", expect_size=\"26067968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118425600\", alpha=\"0.01\", expect_size=\"47370240\"] \n  1 -> 21 [size =\"47370240\"]\n  1 -> 22 [size =\"47370240\"]\n  1 -> 23 [size =\"47370240\"]\n  1 -> 25 [size =\"47370240\"]\n  1 -> 26 [size =\"47370240\"]\n  1 -> 27 [size =\"47370240\"]\n  1 -> 28 [size =\"47370240\"]\n  1 -> 32 [size =\"47370240\"]\n  2 [size=\"83968000\", alpha=\"0.02\", expect_size=\"33587200\"] \n  2 -> 21 [size =\"33587200\"]\n  2 -> 22 [size =\"33587200\"]\n  2 -> 23 [size =\"33587200\"]\n  2 -> 25 [size =\"33587200\"]\n  2 -> 26 [size =\"33587200\"]\n  2 -> 30 [size =\"33587200\"]\n  2 -> 31 [size =\"33587200\"]\n  2 -> 32 [size =\"33587200\"]\n  2 -> 33 [size =\"33587200\"]\n  3 [size=\"26478080\", alpha=\"0.12\", expect_size=\"10591232\"] \n  3 -> 21 [size =\"10591232\"]\n  3 -> 22 [size =\"10591232\"]\n  3 -> 24 [size =\"10591232\"]\n  3 -> 25 [size =\"10591232\"]\n  3 -> 26 [size =\"10591232\"]\n  3 -> 27 [size =\"10591232\"]\n  3 -> 30 [size =\"10591232\"]\n  3 -> 34 [size =\"10591232\"]\n  4 [size=\"97953280\", alpha=\"0.10\", expect_size=\"39181312\"] \n  4 -> 21 [size =\"39181312\"]\n  4 -> 22 [size =\"39181312\"]\n  4 -> 24 [size =\"39181312\"]\n  4 -> 25 [size =\"39181312\"]\n  4 -> 26 [size =\"39181312\"]\n  4 -> 27 [size =\"39181312\"]\n  4 -> 31 [size =\"39181312\"]\n  4 -> 34 [size =\"39181312\"]\n  5 [size=\"72171520\", alpha=\"0.17\", expect_size=\"28868608\"] \n  5 -> 22 [size =\"28868608\"]\n  5 -> 26 [size =\"28868608\"]\n  5 -> 27 [size =\"28868608\"]\n  5 -> 28 [size =\"28868608\"]\n  5 -> 31 [size =\"28868608\"]\n  5 -> 33 [size =\"28868608\"]\n  5 -> 34 [size =\"28868608\"]\n  6 [size=\"120890880\", alpha=\"0.06\", expect_size=\"48356352\"] \n  6 -> 22 [size =\"48356352\"]\n  6 -> 23 [size =\"48356352\"]\n  6 -> 24 [size =\"48356352\"]\n  6 -> 26 [size =\"48356352\"]\n  6 -> 27 [size =\"48356352\"]\n  6 -> 32 [size =\"48356352\"]\n  6 -> 33 [size =\"48356352\"]\n  6 -> 34 [size =\"48356352\"]\n  7 [size=\"126187520\", alpha=\"0.12\", expect_size=\"50475008\"] \n  7 -> 21 [size =\"50475008\"]\n  7 -> 23 [size =\"50475008\"]\n  7 -> 25 [size =\"50475008\"]\n  7 -> 27 [size =\"50475008\"]\n  7 -> 30 [size =\"50475008\"]\n  7 -> 33 [size =\"50475008\"]\n  7 -> 34 [size =\"50475008\"]\n  8 [size=\"73960960\", alpha=\"0.06\", expect_size=\"29584384\"] \n  8 -> 21 [size =\"29584384\"]\n  8 -> 22 [size =\"29584384\"]\n  8 -> 23 [size =\"29584384\"]\n  8 -> 25 [size =\"29584384\"]\n  8 -> 26 [size =\"29584384\"]\n  8 -> 27 [size =\"29584384\"]\n  8 -> 30 [size =\"29584384\"]\n  8 -> 31 [size =\"29584384\"]\n  9 [size=\"117693440\", alpha=\"0.04\", expect_size=\"47077376\"] \n  9 -> 21 [size =\"47077376\"]\n  9 -> 23 [size =\"47077376\"]\n  9 -> 23 [size =\"47077376\"]\n  9 -> 25 [size =\"47077376\"]\n  9 -> 26 [size =\"47077376\"]\n  9 -> 27 [size =\"47077376\"]\n  9 -> 28 [size =\"47077376\"]\n  9 -> 29 [size =\"47077376\"]\n  9 -> 30 [size =\"47077376\"]\n  9 -> 31 [size =\"47077376\"]\n  9 -> 34 [size =\"47077376\"]\n  10 [size=\"17326080\", alpha=\"0.15\", expect_size=\"6930432\"] \n  10 -> 21 [size =\"6930432\"]\n  10 -> 23 [size =\"6930432\"]\n  10 -> 24 [size =\"6930432\"]\n  10 -> 25 [size =\"6930432\"]\n  10 -> 26 [size =\"6930432\"]\n  10 -> 27 [size =\"6930432\"]\n  10 -> 28 [size =\"6930432\"]\n  10 -> 29 [size =\"6930432\"]\n  10 -> 31 [size =\"6930432\"]\n  10 -> 32 [size =\"6930432\"]\n  10 -> 33 [size =\"6930432\"]\n  11 [size=\"63216640\", alpha=\"0.05\", expect_size=\"25286656\"] \n  11 -> 21 [size =\"25286656\"]\n  11 -> 22 [size =\"25286656\"]\n  11 -> 23 [size =\"25286656\"]\n  11 -> 25 [size =\"25286656\"]\n  11 -> 26 [size =\"25286656\"]\n  11 -> 27 [size =\"25286656\"]\n  11 -> 28 [size =\"25286656\"]\n  11 -> 30 [size =\"25286656\"]\n  11 -> 34 [size =\"25286656\"]\n  12 [size=\"67125760\", alpha=\"0.16\", expect_size=\"26850304\"] \n  12 -> 21 [size =\"26850304\"]\n  12 -> 22 [size =\"26850304\"]\n  12 -> 23 [size =\"26850304\"]\n  12 -> 24 [size =\"26850304\"]\n  12 -> 25 [size =\"26850304\"]\n  12 -> 26 [size =\"26850304\"]\n  12 -> 27 [size =\"26850304\"]\n  12 -> 31 [size =\"26850304\"]\n  12 -> 32 [size =\"26850304\"]\n  12 -> 34 [size =\"26850304\"]\n  13 [size=\"78259200\", alpha=\"0.05\", expect_size=\"31303680\"] \n  13 -> 21 [size =\"31303680\"]\n  13 -> 23 [size =\"31303680\"]\n  13 -> 23 [size =\"31303680\"]\n  13 -> 24 [size =\"31303680\"]\n  13 -> 26 [size =\"31303680\"]\n  13 -> 27 [size =\"31303680\"]\n  13 -> 29 [size =\"31303680\"]\n  13 -> 30 [size =\"31303680\"]\n  13 -> 33 [size =\"31303680\"]\n  14 [size=\"29324800\", alpha=\"0.04\", expect_size=\"11729920\"] \n  14 -> 21 [size =\"11729920\"]\n  14 -> 22 [size =\"11729920\"]\n  14 -> 23 [size =\"11729920\"]\n  14 -> 24 [size =\"11729920\"]\n  14 -> 26 [size =\"11729920\"]\n  14 -> 27 [size =\"11729920\"]\n  14 -> 30 [size =\"11729920\"]\n  14 -> 31 [size =\"11729920\"]\n  14 -> 32 [size =\"11729920\"]\n  14 -> 34 [size =\"11729920\"]\n  15 [size=\"86448640\", alpha=\"0.14\", expect_size=\"34579456\"] \n  15 -> 21 [size =\"34579456\"]\n  15 -> 22 [size =\"34579456\"]\n  15 -> 24 [size =\"34579456\"]\n  15 -> 24 [size =\"34579456\"]\n  15 -> 26 [size =\"34579456\"]\n  15 -> 29 [size =\"34579456\"]\n  15 -> 30 [size =\"34579456\"]\n  15 -> 31 [size =\"34579456\"]\n  15 -> 33 [size =\"34579456\"]\n  16 [size=\"67138560\", alpha=\"0.04\", expect_size=\"26855424\"] \n  16 -> 21 [size =\"26855424\"]\n  16 -> 22 [size =\"26855424\"]\n  16 -> 23 [size =\"26855424\"]\n  16 -> 24 [size =\"26855424\"]\n  16 -> 25 [size =\"26855424\"]\n  16 -> 26 [size =\"26855424\"]\n  16 -> 31 [size =\"26855424\"]\n  16 -> 32 [size =\"26855424\"]\n  16 -> 33 [size =\"26855424\"]\n  17 [size=\"103667200\", alpha=\"0.04\", expect_size=\"41466880\"] \n  17 -> 21 [size =\"41466880\"]\n  17 -> 22 [size =\"41466880\"]\n  17 -> 23 [size =\"41466880\"]\n  17 -> 24 [size =\"41466880\"]\n  17 -> 26 [size =\"41466880\"]\n  17 -> 27 [size =\"41466880\"]\n  17 -> 30 [size =\"41466880\"]\n  17 -> 32 [size =\"41466880\"]\n  17 -> 33 [size =\"41466880\"]\n  18 [size=\"57489920\", alpha=\"0.07\", expect_size=\"22995968\"] \n  18 -> 22 [size =\"22995968\"]\n  18 -> 22 [size =\"22995968\"]\n  18 -> 23 [size =\"22995968\"]\n  18 -> 24 [size =\"22995968\"]\n  18 -> 25 [size =\"22995968\"]\n  18 -> 26 [size =\"22995968\"]\n  18 -> 30 [size =\"22995968\"]\n  18 -> 31 [size =\"22995968\"]\n  18 -> 32 [size =\"22995968\"]\n  18 -> 34 [size =\"22995968\"]\n  19 [size=\"91622400\", alpha=\"0.05\", expect_size=\"36648960\"] \n  19 -> 21 [size =\"36648960\"]\n  19 -> 22 [size =\"36648960\"]\n  19 -> 24 [size =\"36648960\"]\n  19 -> 25 [size =\"36648960\"]\n  20 [size=\"115392000\", alpha=\"0.02\", expect_size=\"46156800\"] \n  20 -> 21 [size =\"46156800\"]\n  20 -> 22 [size =\"46156800\"]\n  20 -> 24 [size =\"46156800\"]\n  20 -> 28 [size =\"46156800\"]\n  20 -> 30 [size =\"46156800\"]\n  20 -> 32 [size =\"46156800\"]\n  20 -> 33 [size =\"46156800\"]\n  20 -> 34 [size =\"46156800\"]\n  21 [size=\"88110080\", alpha=\"0.17\", expect_size=\"35244032\"] \n  21 -> 37 [size =\"35244032\"]\n  21 -> 38 [size =\"35244032\"]\n  21 -> 38 [size =\"35244032\"]\n  21 -> 41 [size =\"35244032\"]\n  21 -> 42 [size =\"35244032\"]\n  22 [size=\"120238080\", alpha=\"0.05\", expect_size=\"48095232\"] \n  22 -> 36 [size =\"48095232\"]\n  22 -> 37 [size =\"48095232\"]\n  22 -> 38 [size =\"48095232\"]\n  22 -> 39 [size =\"48095232\"]\n  22 -> 42 [size =\"48095232\"]\n  22 -> 44 [size =\"48095232\"]\n  23 [size=\"93742080\", alpha=\"0.14\", expect_size=\"37496832\"] \n  23 -> 36 [size =\"37496832\"]\n  23 -> 37 [size =\"37496832\"]\n  23 -> 38 [size =\"37496832\"]\n  23 -> 42 [size =\"37496832\"]\n  23 -> 44 [size =\"37496832\"]\n  23 -> 45 [size =\"37496832\"]\n  24 [size=\"122240000\", alpha=\"0.18\", expect_size=\"48896000\"] \n  24 -> 36 [size =\"48896000\"]\n  24 -> 38 [size =\"48896000\"]\n  24 -> 41 [size =\"48896000\"]\n  24 -> 42 [size =\"48896000\"]\n  24 -> 43 [size =\"48896000\"]\n  24 -> 44 [size =\"48896000\"]\n  25 [size=\"24993280\", alpha=\"0.12\", expect_size=\"9997312\"] \n  25 -> 36 [size =\"9997312\"]\n  25 -> 37 [size =\"9997312\"]\n  25 -> 41 [size =\"9997312\"]\n  25 -> 43 [size =\"9997312\"]\n  26 [size=\"106204160\", alpha=\"0.04\", expect_size=\"42481664\"] \n  26 -> 36 [size =\"42481664\"]\n  26 -> 37 [size =\"42481664\"]\n  26 -> 38 [size =\"42481664\"]\n  26 -> 42 [size =\"42481664\"]\n  27 [size=\"129676800\", alpha=\"0.16\", expect_size=\"51870720\"] \n  27 -> 35 [size =\"51870720\"]\n  27 -> 36 [size =\"51870720\"]\n  27 -> 37 [size =\"51870720\"]\n  27 -> 41 [size =\"51870720\"]\n  27 -> 42 [size =\"51870720\"]\n  27 -> 43 [size =\"51870720\"]\n  28 [size=\"34767360\", alpha=\"0.17\", expect_size=\"13906944\"] \n  28 -> 36 [size =\"13906944\"]\n  28 -> 38 [size =\"13906944\"]\n  28 -> 41 [size =\"13906944\"]\n  28 -> 42 [size =\"13906944\"]\n  28 -> 43 [size =\"13906944\"]\n  28 -> 43 [size =\"13906944\"]\n  29 [size=\"73766400\", alpha=\"0.17\", expect_size=\"29506560\"] \n  29 -> 36 [size =\"29506560\"]\n  29 -> 41 [size =\"29506560\"]\n  29 -> 42 [size =\"29506560\"]\n  29 -> 43 [size =\"29506560\"]\n  29 -> 43 [size =\"29506560\"]\n  30 [size=\"102574080\", alpha=\"0.17\", expect_size=\"41029632\"] \n  30 -> 36 [size =\"41029632\"]\n  30 -> 38 [size =\"41029632\"]\n  30 -> 41 [size =\"41029632\"]\n  30 -> 42 [size =\"41029632\"]\n  30 -> 43 [size =\"41029632\"]\n  31 [size=\"115927040\", alpha=\"0.05\", expect_size=\"46370816\"] \n  31 -> 36 [size =\"46370816\"]\n  31 -> 38 [size =\"46370816\"]\n  31 -> 40 [size =\"46370816\"]\n  31 -> 41 [size =\"46370816\"]\n  31 -> 42 [size =\"46370816\"]\n  31 -> 43 [size =\"46370816\"]\n  31 -> 44 [size =\"46370816\"]\n  32 [size=\"101181440\", alpha=\"0.03\", expect_size=\"40472576\"] \n  32 -> 36 [size =\"40472576\"]\n  32 -> 38 [size =\"40472576\"]\n  32 -> 41 [size =\"40472576\"]\n  32 -> 43 [size =\"40472576\"]\n  33 [size=\"129198080\", alpha=\"0.12\", expect_size=\"51679232\"] \n  33 -> 36 [size =\"51679232\"]\n  33 -> 37 [size =\"51679232\"]\n  33 -> 38 [size =\"51679232\"]\n  33 -> 40 [size =\"51679232\"]\n  33 -> 41 [size =\"51679232\"]\n  33 -> 42 [size =\"51679232\"]\n  33 -> 44 [size =\"51679232\"]\n  34 [size=\"95385600\", alpha=\"0.04\", expect_size=\"38154240\"] \n  34 -> 37 [size =\"38154240\"]\n  34 -> 37 [size =\"38154240\"]\n  34 -> 38 [size =\"38154240\"]\n  34 -> 42 [size =\"38154240\"]\n  35 [size=\"84590080\", alpha=\"0.08\", expect_size=\"33836032\"] \n  36 [size=\"37916160\", alpha=\"0.01\", expect_size=\"15166464\"] \n  37 [size=\"63144960\", alpha=\"0.09\", expect_size=\"25257984\"] \n  38 [size=\"37429760\", alpha=\"0.05\", expect_size=\"14971904\"] \n  39 [size=\"21624320\", alpha=\"0.15\", expect_size=\"8649728\"] \n  40 [size=\"120317440\", alpha=\"0.02\", expect_size=\"48126976\"] \n  41 [size=\"101800960\", alpha=\"0.01\", expect_size=\"40720384\"] \n  42 [size=\"16184320\", alpha=\"0.19\", expect_size=\"6473728\"] \n  43 [size=\"35448320\", alpha=\"0.10\", expect_size=\"14179328\"] \n  44 [size=\"106787840\", alpha=\"0.20\", expect_size=\"42715136\"] \n  45 [size=\"128453120\", alpha=\"0.11\", expect_size=\"51381248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109271040\", alpha=\"0.07\", expect_size=\"32781312\"] \n  1 -> 3 [size =\"32781312\"]\n  2 [size=\"95269547\", alpha=\"0.04\", expect_size=\"28580864\"] \n  2 -> 4 [size =\"28580864\"]\n  3 [size=\"143390720\", alpha=\"0.17\", expect_size=\"43017216\"] \n  3 -> 5 [size =\"43017216\"]\n  3 -> 6 [size =\"43017216\"]\n  4 [size=\"63825920\", alpha=\"0.05\", expect_size=\"19147776\"] \n  5 [size=\"142274560\", alpha=\"0.12\", expect_size=\"42682368\"] \n  6 [size=\"139110400\", alpha=\"0.14\", expect_size=\"41733120\"] \n  6 -> 7 [size =\"41733120\"]\n  7 [size=\"172342613\", alpha=\"0.04\", expect_size=\"51702784\"] \n  7 -> 8 [size =\"51702784\"]\n  7 -> 9 [size =\"51702784\"]\n  8 [size=\"80455680\", alpha=\"0.05\", expect_size=\"24136704\"] \n  8 -> 11 [size =\"24136704\"]\n  8 -> 12 [size =\"24136704\"]\n  8 -> 13 [size =\"24136704\"]\n  9 [size=\"155224747\", alpha=\"0.13\", expect_size=\"46567424\"] \n  9 -> 10 [size =\"46567424\"]\n  10 [size=\"135406933\", alpha=\"0.10\", expect_size=\"40622080\"] \n  10 -> 14 [size =\"40622080\"]\n  11 [size=\"51268267\", alpha=\"0.18\", expect_size=\"15380480\"] \n  11 -> 15 [size =\"15380480\"]\n  12 [size=\"108407467\", alpha=\"0.00\", expect_size=\"32522240\"] \n  12 -> 15 [size =\"32522240\"]\n  13 [size=\"143564800\", alpha=\"0.03\", expect_size=\"43069440\"] \n  14 [size=\"119415467\", alpha=\"0.09\", expect_size=\"35824640\"] \n  15 [size=\"157644800\", alpha=\"0.15\", expect_size=\"47293440\"] \n  15 -> 16 [size =\"47293440\"]\n  16 [size=\"97665707\", alpha=\"0.09\", expect_size=\"29299712\"] \n  16 -> 17 [size =\"29299712\"]\n  16 -> 18 [size =\"29299712\"]\n  17 [size=\"53087573\", alpha=\"0.08\", expect_size=\"15926272\"] \n  17 -> 20 [size =\"15926272\"]\n  18 [size=\"85756587\", alpha=\"0.17\", expect_size=\"25726976\"] \n  18 -> 19 [size =\"25726976\"]\n  19 [size=\"125494613\", alpha=\"0.16\", expect_size=\"37648384\"] \n  20 [size=\"68539733\", alpha=\"0.01\", expect_size=\"20561920\"] \n  20 -> 21 [size =\"20561920\"]\n  20 -> 22 [size =\"20561920\"]\n  21 [size=\"144575147\", alpha=\"0.17\", expect_size=\"43372544\"] \n  21 -> 24 [size =\"43372544\"]\n  22 [size=\"128774827\", alpha=\"0.03\", expect_size=\"38632448\"] \n  22 -> 23 [size =\"38632448\"]\n  23 [size=\"130443947\", alpha=\"0.05\", expect_size=\"39133184\"] \n  23 -> 25 [size =\"39133184\"]\n  23 -> 26 [size =\"39133184\"]\n  24 [size=\"150978560\", alpha=\"0.13\", expect_size=\"45293568\"] \n  24 -> 27 [size =\"45293568\"]\n  25 [size=\"60907520\", alpha=\"0.17\", expect_size=\"18272256\"] \n  26 [size=\"23616853\", alpha=\"0.17\", expect_size=\"7085056\"] \n  27 [size=\"90951680\", alpha=\"0.16\", expect_size=\"27285504\"] \n  27 -> 28 [size =\"27285504\"]\n  28 [size=\"151391573\", alpha=\"0.03\", expect_size=\"45417472\"] \n  28 -> 29 [size =\"45417472\"]\n  28 -> 30 [size =\"45417472\"]\n  29 [size=\"131276800\", alpha=\"0.08\", expect_size=\"39383040\"] \n  29 -> 32 [size =\"39383040\"]\n  30 [size=\"98508800\", alpha=\"0.08\", expect_size=\"29552640\"] \n  30 -> 31 [size =\"29552640\"]\n  31 [size=\"102495573\", alpha=\"0.12\", expect_size=\"30748672\"] \n  31 -> 33 [size =\"30748672\"]\n  31 -> 34 [size =\"30748672\"]\n  32 [size=\"77742080\", alpha=\"0.07\", expect_size=\"23322624\"] \n  33 [size=\"102048427\", alpha=\"0.19\", expect_size=\"30614528\"] \n  33 -> 37 [size =\"30614528\"]\n  33 -> 38 [size =\"30614528\"]\n  34 [size=\"144046080\", alpha=\"0.03\", expect_size=\"43213824\"] \n  34 -> 35 [size =\"43213824\"]\n  34 -> 36 [size =\"43213824\"]\n  35 [size=\"92791467\", alpha=\"0.06\", expect_size=\"27837440\"] \n  35 -> 40 [size =\"27837440\"]\n  36 [size=\"73093120\", alpha=\"0.18\", expect_size=\"21927936\"] \n  37 [size=\"49291947\", alpha=\"0.15\", expect_size=\"14787584\"] \n  37 -> 39 [size =\"14787584\"]\n  38 [size=\"18974720\", alpha=\"0.01\", expect_size=\"5692416\"] \n  38 -> 40 [size =\"5692416\"]\n  39 [size=\"45120853\", alpha=\"0.01\", expect_size=\"13536256\"] \n  40 [size=\"108189013\", alpha=\"0.07\", expect_size=\"32456704\"] \n  40 -> 41 [size =\"32456704\"]\n  40 -> 42 [size =\"32456704\"]\n  40 -> 43 [size =\"32456704\"]\n  40 -> 44 [size =\"32456704\"]\n  41 [size=\"168830293\", alpha=\"0.09\", expect_size=\"50649088\"] \n  42 [size=\"103543467\", alpha=\"0.05\", expect_size=\"31063040\"] \n  43 [size=\"160556373\", alpha=\"0.16\", expect_size=\"48166912\"] \n  44 [size=\"151384747\", alpha=\"0.04\", expect_size=\"45415424\"] \n  44 -> 45 [size =\"45415424\"]\n  45 [size=\"20681387\", alpha=\"0.17\", expect_size=\"6204416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68345173\", alpha=\"0.00\", expect_size=\"20503552\"] \n  1 -> 7 [size =\"20503552\"]\n  1 -> 8 [size =\"20503552\"]\n  1 -> 11 [size =\"20503552\"]\n  2 [size=\"134062080\", alpha=\"0.03\", expect_size=\"40218624\"] \n  2 -> 7 [size =\"40218624\"]\n  2 -> 8 [size =\"40218624\"]\n  2 -> 9 [size =\"40218624\"]\n  2 -> 12 [size =\"40218624\"]\n  3 [size=\"89958400\", alpha=\"0.15\", expect_size=\"26987520\"] \n  3 -> 8 [size =\"26987520\"]\n  3 -> 12 [size =\"26987520\"]\n  4 [size=\"159904427\", alpha=\"0.13\", expect_size=\"47971328\"] \n  4 -> 11 [size =\"47971328\"]\n  4 -> 12 [size =\"47971328\"]\n  5 [size=\"35345067\", alpha=\"0.16\", expect_size=\"10603520\"] \n  5 -> 8 [size =\"10603520\"]\n  5 -> 9 [size =\"10603520\"]\n  5 -> 10 [size =\"10603520\"]\n  6 [size=\"34826240\", alpha=\"0.01\", expect_size=\"10447872\"] \n  6 -> 8 [size =\"10447872\"]\n  7 [size=\"40908800\", alpha=\"0.16\", expect_size=\"12272640\"] \n  7 -> 15 [size =\"12272640\"]\n  7 -> 16 [size =\"12272640\"]\n  7 -> 17 [size =\"12272640\"]\n  8 [size=\"171816960\", alpha=\"0.14\", expect_size=\"51545088\"] \n  8 -> 13 [size =\"51545088\"]\n  8 -> 15 [size =\"51545088\"]\n  8 -> 16 [size =\"51545088\"]\n  8 -> 17 [size =\"51545088\"]\n  9 [size=\"128419840\", alpha=\"0.08\", expect_size=\"38525952\"] \n  9 -> 15 [size =\"38525952\"]\n  9 -> 16 [size =\"38525952\"]\n  9 -> 17 [size =\"38525952\"]\n  10 [size=\"166970027\", alpha=\"0.19\", expect_size=\"50091008\"] \n  10 -> 13 [size =\"50091008\"]\n  10 -> 14 [size =\"50091008\"]\n  10 -> 15 [size =\"50091008\"]\n  10 -> 16 [size =\"50091008\"]\n  10 -> 17 [size =\"50091008\"]\n  11 [size=\"118121813\", alpha=\"0.08\", expect_size=\"35436544\"] \n  11 -> 15 [size =\"35436544\"]\n  11 -> 17 [size =\"35436544\"]\n  12 [size=\"119944533\", alpha=\"0.14\", expect_size=\"35983360\"] \n  12 -> 13 [size =\"35983360\"]\n  12 -> 15 [size =\"35983360\"]\n  12 -> 17 [size =\"35983360\"]\n  13 [size=\"143530667\", alpha=\"0.01\", expect_size=\"43059200\"] \n  13 -> 18 [size =\"43059200\"]\n  13 -> 19 [size =\"43059200\"]\n  13 -> 20 [size =\"43059200\"]\n  13 -> 21 [size =\"43059200\"]\n  13 -> 22 [size =\"43059200\"]\n  14 [size=\"104174933\", alpha=\"0.05\", expect_size=\"31252480\"] \n  14 -> 18 [size =\"31252480\"]\n  14 -> 21 [size =\"31252480\"]\n  14 -> 22 [size =\"31252480\"]\n  15 [size=\"52329813\", alpha=\"0.09\", expect_size=\"15698944\"] \n  15 -> 18 [size =\"15698944\"]\n  15 -> 19 [size =\"15698944\"]\n  15 -> 21 [size =\"15698944\"]\n  15 -> 22 [size =\"15698944\"]\n  15 -> 23 [size =\"15698944\"]\n  16 [size=\"24425813\", alpha=\"0.08\", expect_size=\"7327744\"] \n  16 -> 18 [size =\"7327744\"]\n  16 -> 22 [size =\"7327744\"]\n  17 [size=\"35440640\", alpha=\"0.02\", expect_size=\"10632192\"] \n  17 -> 18 [size =\"10632192\"]\n  17 -> 20 [size =\"10632192\"]\n  17 -> 21 [size =\"10632192\"]\n  17 -> 22 [size =\"10632192\"]\n  18 [size=\"162010453\", alpha=\"0.12\", expect_size=\"48603136\"] \n  18 -> 24 [size =\"48603136\"]\n  18 -> 25 [size =\"48603136\"]\n  18 -> 26 [size =\"48603136\"]\n  18 -> 27 [size =\"48603136\"]\n  18 -> 28 [size =\"48603136\"]\n  19 [size=\"114421760\", alpha=\"0.05\", expect_size=\"34326528\"] \n  19 -> 24 [size =\"34326528\"]\n  19 -> 27 [size =\"34326528\"]\n  19 -> 28 [size =\"34326528\"]\n  20 [size=\"173448533\", alpha=\"0.16\", expect_size=\"52034560\"] \n  20 -> 24 [size =\"52034560\"]\n  20 -> 25 [size =\"52034560\"]\n  20 -> 27 [size =\"52034560\"]\n  21 [size=\"161740800\", alpha=\"0.14\", expect_size=\"48522240\"] \n  21 -> 25 [size =\"48522240\"]\n  21 -> 27 [size =\"48522240\"]\n  21 -> 27 [size =\"48522240\"]\n  22 [size=\"64890880\", alpha=\"0.06\", expect_size=\"19467264\"] \n  22 -> 24 [size =\"19467264\"]\n  22 -> 25 [size =\"19467264\"]\n  22 -> 26 [size =\"19467264\"]\n  23 [size=\"20333227\", alpha=\"0.07\", expect_size=\"6099968\"] \n  23 -> 24 [size =\"6099968\"]\n  23 -> 26 [size =\"6099968\"]\n  23 -> 26 [size =\"6099968\"]\n  23 -> 27 [size =\"6099968\"]\n  24 [size=\"30648320\", alpha=\"0.07\", expect_size=\"9194496\"] \n  24 -> 33 [size =\"9194496\"]\n  24 -> 34 [size =\"9194496\"]\n  25 [size=\"72151040\", alpha=\"0.09\", expect_size=\"21645312\"] \n  25 -> 33 [size =\"21645312\"]\n  25 -> 34 [size =\"21645312\"]\n  26 [size=\"143510187\", alpha=\"0.13\", expect_size=\"43053056\"] \n  26 -> 29 [size =\"43053056\"]\n  26 -> 30 [size =\"43053056\"]\n  26 -> 31 [size =\"43053056\"]\n  26 -> 32 [size =\"43053056\"]\n  26 -> 33 [size =\"43053056\"]\n  26 -> 34 [size =\"43053056\"]\n  27 [size=\"49957547\", alpha=\"0.00\", expect_size=\"14987264\"] \n  27 -> 30 [size =\"14987264\"]\n  27 -> 33 [size =\"14987264\"]\n  27 -> 34 [size =\"14987264\"]\n  28 [size=\"64836267\", alpha=\"0.07\", expect_size=\"19450880\"] \n  28 -> 29 [size =\"19450880\"]\n  28 -> 30 [size =\"19450880\"]\n  28 -> 32 [size =\"19450880\"]\n  28 -> 33 [size =\"19450880\"]\n  28 -> 34 [size =\"19450880\"]\n  29 [size=\"162266453\", alpha=\"0.08\", expect_size=\"48679936\"] \n  29 -> 35 [size =\"48679936\"]\n  29 -> 37 [size =\"48679936\"]\n  29 -> 38 [size =\"48679936\"]\n  30 [size=\"44120747\", alpha=\"0.08\", expect_size=\"13236224\"] \n  30 -> 35 [size =\"13236224\"]\n  30 -> 36 [size =\"13236224\"]\n  30 -> 37 [size =\"13236224\"]\n  30 -> 38 [size =\"13236224\"]\n  30 -> 39 [size =\"13236224\"]\n  31 [size=\"170035200\", alpha=\"0.00\", expect_size=\"51010560\"] \n  31 -> 36 [size =\"51010560\"]\n  31 -> 38 [size =\"51010560\"]\n  31 -> 40 [size =\"51010560\"]\n  32 [size=\"119022933\", alpha=\"0.06\", expect_size=\"35706880\"] \n  32 -> 35 [size =\"35706880\"]\n  32 -> 36 [size =\"35706880\"]\n  32 -> 38 [size =\"35706880\"]\n  33 [size=\"164956160\", alpha=\"0.08\", expect_size=\"49486848\"] \n  33 -> 38 [size =\"49486848\"]\n  34 [size=\"65751040\", alpha=\"0.00\", expect_size=\"19725312\"] \n  34 -> 35 [size =\"19725312\"]\n  35 [size=\"121122133\", alpha=\"0.18\", expect_size=\"36336640\"] \n  35 -> 41 [size =\"36336640\"]\n  35 -> 43 [size =\"36336640\"]\n  35 -> 45 [size =\"36336640\"]\n  36 [size=\"34362027\", alpha=\"0.16\", expect_size=\"10308608\"] \n  36 -> 44 [size =\"10308608\"]\n  37 [size=\"137403733\", alpha=\"0.16\", expect_size=\"41221120\"] \n  37 -> 41 [size =\"41221120\"]\n  37 -> 42 [size =\"41221120\"]\n  37 -> 44 [size =\"41221120\"]\n  38 [size=\"139100160\", alpha=\"0.15\", expect_size=\"41730048\"] \n  38 -> 43 [size =\"41730048\"]\n  38 -> 44 [size =\"41730048\"]\n  38 -> 44 [size =\"41730048\"]\n  39 [size=\"36512427\", alpha=\"0.06\", expect_size=\"10953728\"] \n  39 -> 43 [size =\"10953728\"]\n  39 -> 44 [size =\"10953728\"]\n  40 [size=\"97870507\", alpha=\"0.17\", expect_size=\"29361152\"] \n  40 -> 43 [size =\"29361152\"]\n  40 -> 44 [size =\"29361152\"]\n  40 -> 45 [size =\"29361152\"]\n  41 [size=\"158091947\", alpha=\"0.06\", expect_size=\"47427584\"] \n  42 [size=\"160542720\", alpha=\"0.01\", expect_size=\"48162816\"] \n  43 [size=\"50401280\", alpha=\"0.17\", expect_size=\"15120384\"] \n  44 [size=\"111015253\", alpha=\"0.14\", expect_size=\"33304576\"] \n  45 [size=\"114503680\", alpha=\"0.18\", expect_size=\"34351104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22980608\", alpha=\"0.11\", expect_size=\"11490304\"] \n  1 -> 7 [size =\"11490304\"]\n  1 -> 8 [size =\"11490304\"]\n  2 [size=\"70920192\", alpha=\"0.09\", expect_size=\"35460096\"] \n  3 [size=\"36388864\", alpha=\"0.09\", expect_size=\"18194432\"] \n  3 -> 6 [size =\"18194432\"]\n  4 [size=\"19208192\", alpha=\"0.05\", expect_size=\"9604096\"] \n  4 -> 5 [size =\"9604096\"]\n  4 -> 7 [size =\"9604096\"]\n  5 [size=\"86685696\", alpha=\"0.07\", expect_size=\"43342848\"] \n  5 -> 12 [size =\"43342848\"]\n  6 [size=\"97462272\", alpha=\"0.02\", expect_size=\"48731136\"] \n  6 -> 9 [size =\"48731136\"]\n  6 -> 10 [size =\"48731136\"]\n  6 -> 11 [size =\"48731136\"]\n  6 -> 12 [size =\"48731136\"]\n  6 -> 14 [size =\"48731136\"]\n  7 [size=\"19292160\", alpha=\"0.12\", expect_size=\"9646080\"] \n  7 -> 10 [size =\"9646080\"]\n  7 -> 12 [size =\"9646080\"]\n  7 -> 13 [size =\"9646080\"]\n  8 [size=\"36163584\", alpha=\"0.13\", expect_size=\"18081792\"] \n  8 -> 9 [size =\"18081792\"]\n  8 -> 14 [size =\"18081792\"]\n  9 [size=\"103391232\", alpha=\"0.16\", expect_size=\"51695616\"] \n  9 -> 15 [size =\"51695616\"]\n  9 -> 19 [size =\"51695616\"]\n  9 -> 20 [size =\"51695616\"]\n  10 [size=\"43642880\", alpha=\"0.01\", expect_size=\"21821440\"] \n  11 [size=\"84957184\", alpha=\"0.02\", expect_size=\"42478592\"] \n  11 -> 16 [size =\"42478592\"]\n  11 -> 17 [size =\"42478592\"]\n  11 -> 18 [size =\"42478592\"]\n  11 -> 19 [size =\"42478592\"]\n  11 -> 20 [size =\"42478592\"]\n  12 [size=\"44275712\", alpha=\"0.07\", expect_size=\"22137856\"] \n  13 [size=\"86603776\", alpha=\"0.20\", expect_size=\"43301888\"] \n  13 -> 16 [size =\"43301888\"]\n  13 -> 18 [size =\"43301888\"]\n  13 -> 20 [size =\"43301888\"]\n  13 -> 21 [size =\"43301888\"]\n  14 [size=\"33681408\", alpha=\"0.19\", expect_size=\"16840704\"] \n  14 -> 18 [size =\"16840704\"]\n  14 -> 20 [size =\"16840704\"]\n  15 [size=\"58621952\", alpha=\"0.14\", expect_size=\"29310976\"] \n  15 -> 22 [size =\"29310976\"]\n  15 -> 24 [size =\"29310976\"]\n  16 [size=\"92542976\", alpha=\"0.15\", expect_size=\"46271488\"] \n  16 -> 25 [size =\"46271488\"]\n  17 [size=\"99764224\", alpha=\"0.05\", expect_size=\"49882112\"] \n  17 -> 23 [size =\"49882112\"]\n  17 -> 25 [size =\"49882112\"]\n  18 [size=\"63739904\", alpha=\"0.17\", expect_size=\"31869952\"] \n  18 -> 24 [size =\"31869952\"]\n  18 -> 25 [size =\"31869952\"]\n  19 [size=\"32608256\", alpha=\"0.06\", expect_size=\"16304128\"] \n  19 -> 23 [size =\"16304128\"]\n  19 -> 24 [size =\"16304128\"]\n  20 [size=\"12337152\", alpha=\"0.10\", expect_size=\"6168576\"] \n  20 -> 23 [size =\"6168576\"]\n  20 -> 24 [size =\"6168576\"]\n  20 -> 25 [size =\"6168576\"]\n  21 [size=\"18669568\", alpha=\"0.17\", expect_size=\"9334784\"] \n  21 -> 22 [size =\"9334784\"]\n  21 -> 23 [size =\"9334784\"]\n  22 [size=\"28157952\", alpha=\"0.17\", expect_size=\"14078976\"] \n  22 -> 28 [size =\"14078976\"]\n  22 -> 30 [size =\"14078976\"]\n  23 [size=\"61913088\", alpha=\"0.02\", expect_size=\"30956544\"] \n  23 -> 26 [size =\"30956544\"]\n  23 -> 27 [size =\"30956544\"]\n  23 -> 29 [size =\"30956544\"]\n  23 -> 30 [size =\"30956544\"]\n  24 [size=\"59572224\", alpha=\"0.09\", expect_size=\"29786112\"] \n  24 -> 27 [size =\"29786112\"]\n  24 -> 28 [size =\"29786112\"]\n  25 [size=\"57204736\", alpha=\"0.12\", expect_size=\"28602368\"] \n  25 -> 28 [size =\"28602368\"]\n  25 -> 29 [size =\"28602368\"]\n  25 -> 30 [size =\"28602368\"]\n  26 [size=\"29849600\", alpha=\"0.13\", expect_size=\"14924800\"] \n  26 -> 34 [size =\"14924800\"]\n  26 -> 35 [size =\"14924800\"]\n  27 [size=\"100390912\", alpha=\"0.17\", expect_size=\"50195456\"] \n  27 -> 31 [size =\"50195456\"]\n  28 [size=\"29423616\", alpha=\"0.06\", expect_size=\"14711808\"] \n  28 -> 31 [size =\"14711808\"]\n  29 [size=\"16257024\", alpha=\"0.14\", expect_size=\"8128512\"] \n  29 -> 33 [size =\"8128512\"]\n  29 -> 35 [size =\"8128512\"]\n  30 [size=\"44003328\", alpha=\"0.10\", expect_size=\"22001664\"] \n  30 -> 32 [size =\"22001664\"]\n  30 -> 33 [size =\"22001664\"]\n  30 -> 34 [size =\"22001664\"]\n  30 -> 36 [size =\"22001664\"]\n  31 [size=\"91521024\", alpha=\"0.01\", expect_size=\"45760512\"] \n  31 -> 39 [size =\"45760512\"]\n  31 -> 40 [size =\"45760512\"]\n  31 -> 41 [size =\"45760512\"]\n  32 [size=\"76933120\", alpha=\"0.20\", expect_size=\"38466560\"] \n  32 -> 39 [size =\"38466560\"]\n  32 -> 40 [size =\"38466560\"]\n  32 -> 41 [size =\"38466560\"]\n  33 [size=\"60674048\", alpha=\"0.14\", expect_size=\"30337024\"] \n  33 -> 39 [size =\"30337024\"]\n  33 -> 40 [size =\"30337024\"]\n  34 [size=\"68648960\", alpha=\"0.14\", expect_size=\"34324480\"] \n  34 -> 37 [size =\"34324480\"]\n  34 -> 38 [size =\"34324480\"]\n  35 [size=\"15208448\", alpha=\"0.04\", expect_size=\"7604224\"] \n  36 [size=\"70928384\", alpha=\"0.11\", expect_size=\"35464192\"] \n  36 -> 41 [size =\"35464192\"]\n  37 [size=\"39667712\", alpha=\"0.17\", expect_size=\"19833856\"] \n  38 [size=\"24606720\", alpha=\"0.14\", expect_size=\"12303360\"] \n  38 -> 44 [size =\"12303360\"]\n  38 -> 45 [size =\"12303360\"]\n  39 [size=\"51425280\", alpha=\"0.17\", expect_size=\"25712640\"] \n  39 -> 43 [size =\"25712640\"]\n  39 -> 44 [size =\"25712640\"]\n  40 [size=\"24287232\", alpha=\"0.19\", expect_size=\"12143616\"] \n  40 -> 45 [size =\"12143616\"]\n  41 [size=\"70721536\", alpha=\"0.03\", expect_size=\"35360768\"] \n  41 -> 42 [size =\"35360768\"]\n  41 -> 43 [size =\"35360768\"]\n  42 [size=\"76453888\", alpha=\"0.11\", expect_size=\"38226944\"] \n  43 [size=\"75278336\", alpha=\"0.10\", expect_size=\"37639168\"] \n  44 [size=\"48941056\", alpha=\"0.19\", expect_size=\"24470528\"] \n  45 [size=\"20635648\", alpha=\"0.18\", expect_size=\"10317824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128675840\", alpha=\"0.10\", expect_size=\"51470336\"] \n  1 -> 13 [size =\"51470336\"]\n  1 -> 15 [size =\"51470336\"]\n  1 -> 23 [size =\"51470336\"]\n  2 [size=\"115499520\", alpha=\"0.16\", expect_size=\"46199808\"] \n  2 -> 13 [size =\"46199808\"]\n  2 -> 15 [size =\"46199808\"]\n  2 -> 16 [size =\"46199808\"]\n  2 -> 21 [size =\"46199808\"]\n  2 -> 24 [size =\"46199808\"]\n  2 -> 25 [size =\"46199808\"]\n  2 -> 27 [size =\"46199808\"]\n  2 -> 29 [size =\"46199808\"]\n  3 [size=\"77739520\", alpha=\"0.09\", expect_size=\"31095808\"] \n  3 -> 13 [size =\"31095808\"]\n  3 -> 15 [size =\"31095808\"]\n  3 -> 16 [size =\"31095808\"]\n  3 -> 17 [size =\"31095808\"]\n  3 -> 19 [size =\"31095808\"]\n  3 -> 20 [size =\"31095808\"]\n  3 -> 21 [size =\"31095808\"]\n  3 -> 25 [size =\"31095808\"]\n  3 -> 27 [size =\"31095808\"]\n  3 -> 28 [size =\"31095808\"]\n  4 [size=\"114040320\", alpha=\"0.14\", expect_size=\"45616128\"] \n  4 -> 15 [size =\"45616128\"]\n  4 -> 15 [size =\"45616128\"]\n  4 -> 16 [size =\"45616128\"]\n  4 -> 18 [size =\"45616128\"]\n  4 -> 19 [size =\"45616128\"]\n  4 -> 20 [size =\"45616128\"]\n  4 -> 21 [size =\"45616128\"]\n  4 -> 24 [size =\"45616128\"]\n  4 -> 25 [size =\"45616128\"]\n  4 -> 28 [size =\"45616128\"]\n  5 [size=\"69137920\", alpha=\"0.09\", expect_size=\"27655168\"] \n  5 -> 15 [size =\"27655168\"]\n  5 -> 16 [size =\"27655168\"]\n  5 -> 19 [size =\"27655168\"]\n  5 -> 20 [size =\"27655168\"]\n  5 -> 21 [size =\"27655168\"]\n  5 -> 22 [size =\"27655168\"]\n  5 -> 25 [size =\"27655168\"]\n  5 -> 26 [size =\"27655168\"]\n  5 -> 29 [size =\"27655168\"]\n  6 [size=\"50488320\", alpha=\"0.18\", expect_size=\"20195328\"] \n  6 -> 15 [size =\"20195328\"]\n  6 -> 16 [size =\"20195328\"]\n  6 -> 20 [size =\"20195328\"]\n  6 -> 20 [size =\"20195328\"]\n  6 -> 25 [size =\"20195328\"]\n  6 -> 26 [size =\"20195328\"]\n  7 [size=\"87836160\", alpha=\"0.07\", expect_size=\"35134464\"] \n  7 -> 13 [size =\"35134464\"]\n  7 -> 14 [size =\"35134464\"]\n  7 -> 16 [size =\"35134464\"]\n  7 -> 20 [size =\"35134464\"]\n  7 -> 24 [size =\"35134464\"]\n  8 [size=\"129605120\", alpha=\"0.09\", expect_size=\"51842048\"] \n  8 -> 13 [size =\"51842048\"]\n  8 -> 16 [size =\"51842048\"]\n  8 -> 20 [size =\"51842048\"]\n  8 -> 24 [size =\"51842048\"]\n  8 -> 24 [size =\"51842048\"]\n  8 -> 25 [size =\"51842048\"]\n  9 [size=\"33863680\", alpha=\"0.10\", expect_size=\"13545472\"] \n  9 -> 13 [size =\"13545472\"]\n  9 -> 15 [size =\"13545472\"]\n  9 -> 24 [size =\"13545472\"]\n  9 -> 25 [size =\"13545472\"]\n  9 -> 27 [size =\"13545472\"]\n  9 -> 29 [size =\"13545472\"]\n  10 [size=\"72455680\", alpha=\"0.16\", expect_size=\"28982272\"] \n  10 -> 13 [size =\"28982272\"]\n  10 -> 17 [size =\"28982272\"]\n  10 -> 18 [size =\"28982272\"]\n  10 -> 21 [size =\"28982272\"]\n  10 -> 23 [size =\"28982272\"]\n  10 -> 24 [size =\"28982272\"]\n  10 -> 25 [size =\"28982272\"]\n  10 -> 26 [size =\"28982272\"]\n  10 -> 27 [size =\"28982272\"]\n  11 [size=\"67663360\", alpha=\"0.12\", expect_size=\"27065344\"] \n  11 -> 13 [size =\"27065344\"]\n  11 -> 14 [size =\"27065344\"]\n  11 -> 20 [size =\"27065344\"]\n  11 -> 21 [size =\"27065344\"]\n  11 -> 23 [size =\"27065344\"]\n  11 -> 24 [size =\"27065344\"]\n  11 -> 26 [size =\"27065344\"]\n  11 -> 27 [size =\"27065344\"]\n  11 -> 27 [size =\"27065344\"]\n  11 -> 28 [size =\"27065344\"]\n  11 -> 29 [size =\"27065344\"]\n  12 [size=\"126138880\", alpha=\"0.13\", expect_size=\"50455552\"] \n  12 -> 13 [size =\"50455552\"]\n  12 -> 14 [size =\"50455552\"]\n  12 -> 15 [size =\"50455552\"]\n  12 -> 16 [size =\"50455552\"]\n  12 -> 19 [size =\"50455552\"]\n  12 -> 23 [size =\"50455552\"]\n  12 -> 24 [size =\"50455552\"]\n  12 -> 26 [size =\"50455552\"]\n  13 [size=\"102415360\", alpha=\"0.11\", expect_size=\"40966144\"] \n  13 -> 32 [size =\"40966144\"]\n  13 -> 35 [size =\"40966144\"]\n  13 -> 38 [size =\"40966144\"]\n  13 -> 38 [size =\"40966144\"]\n  13 -> 40 [size =\"40966144\"]\n  14 [size=\"36288000\", alpha=\"0.09\", expect_size=\"14515200\"] \n  14 -> 31 [size =\"14515200\"]\n  14 -> 32 [size =\"14515200\"]\n  14 -> 36 [size =\"14515200\"]\n  14 -> 37 [size =\"14515200\"]\n  14 -> 38 [size =\"14515200\"]\n  14 -> 39 [size =\"14515200\"]\n  14 -> 40 [size =\"14515200\"]\n  15 [size=\"117598720\", alpha=\"0.18\", expect_size=\"47039488\"] \n  15 -> 32 [size =\"47039488\"]\n  15 -> 36 [size =\"47039488\"]\n  16 [size=\"55475200\", alpha=\"0.16\", expect_size=\"22190080\"] \n  16 -> 31 [size =\"22190080\"]\n  16 -> 32 [size =\"22190080\"]\n  16 -> 34 [size =\"22190080\"]\n  16 -> 36 [size =\"22190080\"]\n  16 -> 37 [size =\"22190080\"]\n  16 -> 38 [size =\"22190080\"]\n  16 -> 41 [size =\"22190080\"]\n  17 [size=\"44746240\", alpha=\"0.18\", expect_size=\"17898496\"] \n  17 -> 34 [size =\"17898496\"]\n  17 -> 36 [size =\"17898496\"]\n  17 -> 40 [size =\"17898496\"]\n  18 [size=\"88657920\", alpha=\"0.18\", expect_size=\"35463168\"] \n  18 -> 31 [size =\"35463168\"]\n  18 -> 32 [size =\"35463168\"]\n  18 -> 38 [size =\"35463168\"]\n  19 [size=\"26554880\", alpha=\"0.02\", expect_size=\"10621952\"] \n  19 -> 31 [size =\"10621952\"]\n  19 -> 36 [size =\"10621952\"]\n  19 -> 40 [size =\"10621952\"]\n  20 [size=\"84433920\", alpha=\"0.04\", expect_size=\"33773568\"] \n  20 -> 31 [size =\"33773568\"]\n  20 -> 32 [size =\"33773568\"]\n  20 -> 33 [size =\"33773568\"]\n  20 -> 34 [size =\"33773568\"]\n  20 -> 36 [size =\"33773568\"]\n  20 -> 40 [size =\"33773568\"]\n  21 [size=\"61414400\", alpha=\"0.06\", expect_size=\"24565760\"] \n  21 -> 31 [size =\"24565760\"]\n  21 -> 34 [size =\"24565760\"]\n  21 -> 36 [size =\"24565760\"]\n  21 -> 37 [size =\"24565760\"]\n  21 -> 38 [size =\"24565760\"]\n  21 -> 40 [size =\"24565760\"]\n  22 [size=\"15313920\", alpha=\"0.05\", expect_size=\"6125568\"] \n  22 -> 32 [size =\"6125568\"]\n  22 -> 34 [size =\"6125568\"]\n  22 -> 36 [size =\"6125568\"]\n  22 -> 37 [size =\"6125568\"]\n  22 -> 38 [size =\"6125568\"]\n  22 -> 41 [size =\"6125568\"]\n  23 [size=\"92326400\", alpha=\"0.15\", expect_size=\"36930560\"] \n  23 -> 31 [size =\"36930560\"]\n  23 -> 34 [size =\"36930560\"]\n  23 -> 36 [size =\"36930560\"]\n  23 -> 38 [size =\"36930560\"]\n  23 -> 38 [size =\"36930560\"]\n  23 -> 40 [size =\"36930560\"]\n  23 -> 41 [size =\"36930560\"]\n  24 [size=\"37992960\", alpha=\"0.02\", expect_size=\"15197184\"] \n  24 -> 30 [size =\"15197184\"]\n  24 -> 34 [size =\"15197184\"]\n  24 -> 35 [size =\"15197184\"]\n  24 -> 36 [size =\"15197184\"]\n  24 -> 37 [size =\"15197184\"]\n  24 -> 39 [size =\"15197184\"]\n  24 -> 40 [size =\"15197184\"]\n  25 [size=\"92695040\", alpha=\"0.19\", expect_size=\"37078016\"] \n  25 -> 30 [size =\"37078016\"]\n  25 -> 34 [size =\"37078016\"]\n  25 -> 39 [size =\"37078016\"]\n  25 -> 40 [size =\"37078016\"]\n  26 [size=\"83563520\", alpha=\"0.02\", expect_size=\"33425408\"] \n  26 -> 32 [size =\"33425408\"]\n  26 -> 37 [size =\"33425408\"]\n  27 [size=\"62453760\", alpha=\"0.17\", expect_size=\"24981504\"] \n  27 -> 31 [size =\"24981504\"]\n  27 -> 32 [size =\"24981504\"]\n  28 [size=\"51857920\", alpha=\"0.13\", expect_size=\"20743168\"] \n  28 -> 31 [size =\"20743168\"]\n  28 -> 32 [size =\"20743168\"]\n  28 -> 36 [size =\"20743168\"]\n  28 -> 38 [size =\"20743168\"]\n  29 [size=\"39045120\", alpha=\"0.12\", expect_size=\"15618048\"] \n  29 -> 32 [size =\"15618048\"]\n  29 -> 34 [size =\"15618048\"]\n  29 -> 36 [size =\"15618048\"]\n  29 -> 38 [size =\"15618048\"]\n  29 -> 40 [size =\"15618048\"]\n  30 [size=\"53189120\", alpha=\"0.01\", expect_size=\"21275648\"] \n  30 -> 42 [size =\"21275648\"]\n  31 [size=\"79539200\", alpha=\"0.19\", expect_size=\"31815680\"] \n  31 -> 42 [size =\"31815680\"]\n  31 -> 44 [size =\"31815680\"]\n  32 [size=\"115699200\", alpha=\"0.16\", expect_size=\"46279680\"] \n  32 -> 42 [size =\"46279680\"]\n  33 [size=\"28134400\", alpha=\"0.09\", expect_size=\"11253760\"] \n  33 -> 44 [size =\"11253760\"]\n  34 [size=\"117406720\", alpha=\"0.05\", expect_size=\"46962688\"] \n  34 -> 42 [size =\"46962688\"]\n  34 -> 43 [size =\"46962688\"]\n  35 [size=\"130560000\", alpha=\"0.19\", expect_size=\"52224000\"] \n  35 -> 44 [size =\"52224000\"]\n  35 -> 45 [size =\"52224000\"]\n  36 [size=\"123624960\", alpha=\"0.00\", expect_size=\"49449984\"] \n  36 -> 44 [size =\"49449984\"]\n  36 -> 45 [size =\"49449984\"]\n  37 [size=\"16017920\", alpha=\"0.07\", expect_size=\"6407168\"] \n  37 -> 42 [size =\"6407168\"]\n  37 -> 44 [size =\"6407168\"]\n  38 [size=\"118397440\", alpha=\"0.07\", expect_size=\"47358976\"] \n  38 -> 42 [size =\"47358976\"]\n  39 [size=\"75404800\", alpha=\"0.08\", expect_size=\"30161920\"] \n  40 [size=\"25761280\", alpha=\"0.02\", expect_size=\"10304512\"] \n  41 [size=\"28815360\", alpha=\"0.04\", expect_size=\"11526144\"] \n  41 -> 42 [size =\"11526144\"]\n  41 -> 45 [size =\"11526144\"]\n  42 [size=\"21158400\", alpha=\"0.07\", expect_size=\"8463360\"] \n  43 [size=\"115827200\", alpha=\"0.03\", expect_size=\"46330880\"] \n  44 [size=\"48230400\", alpha=\"0.03\", expect_size=\"19292160\"] \n  45 [size=\"77480960\", alpha=\"0.16\", expect_size=\"30992384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90214400\", alpha=\"0.04\", expect_size=\"27064320\"] \n  1 -> 6 [size =\"27064320\"]\n  1 -> 8 [size =\"27064320\"]\n  2 [size=\"133116587\", alpha=\"0.08\", expect_size=\"39934976\"] \n  2 -> 5 [size =\"39934976\"]\n  3 [size=\"111923200\", alpha=\"0.20\", expect_size=\"33576960\"] \n  4 [size=\"72574293\", alpha=\"0.11\", expect_size=\"21772288\"] \n  4 -> 7 [size =\"21772288\"]\n  5 [size=\"18469547\", alpha=\"0.06\", expect_size=\"5540864\"] \n  5 -> 10 [size =\"5540864\"]\n  5 -> 11 [size =\"5540864\"]\n  5 -> 13 [size =\"5540864\"]\n  5 -> 15 [size =\"5540864\"]\n  6 [size=\"67519147\", alpha=\"0.18\", expect_size=\"20255744\"] \n  6 -> 12 [size =\"20255744\"]\n  6 -> 15 [size =\"20255744\"]\n  7 [size=\"72331947\", alpha=\"0.07\", expect_size=\"21699584\"] \n  7 -> 9 [size =\"21699584\"]\n  7 -> 13 [size =\"21699584\"]\n  7 -> 14 [size =\"21699584\"]\n  7 -> 15 [size =\"21699584\"]\n  8 [size=\"49534293\", alpha=\"0.11\", expect_size=\"14860288\"] \n  8 -> 9 [size =\"14860288\"]\n  8 -> 12 [size =\"14860288\"]\n  8 -> 13 [size =\"14860288\"]\n  9 [size=\"36283733\", alpha=\"0.18\", expect_size=\"10885120\"] \n  9 -> 17 [size =\"10885120\"]\n  9 -> 18 [size =\"10885120\"]\n  9 -> 20 [size =\"10885120\"]\n  9 -> 21 [size =\"10885120\"]\n  10 [size=\"74260480\", alpha=\"0.17\", expect_size=\"22278144\"] \n  10 -> 16 [size =\"22278144\"]\n  10 -> 17 [size =\"22278144\"]\n  10 -> 20 [size =\"22278144\"]\n  10 -> 21 [size =\"22278144\"]\n  11 [size=\"97727147\", alpha=\"0.18\", expect_size=\"29318144\"] \n  11 -> 16 [size =\"29318144\"]\n  11 -> 19 [size =\"29318144\"]\n  11 -> 20 [size =\"29318144\"]\n  11 -> 21 [size =\"29318144\"]\n  12 [size=\"129778347\", alpha=\"0.17\", expect_size=\"38933504\"] \n  12 -> 16 [size =\"38933504\"]\n  12 -> 17 [size =\"38933504\"]\n  12 -> 19 [size =\"38933504\"]\n  12 -> 21 [size =\"38933504\"]\n  13 [size=\"35348480\", alpha=\"0.03\", expect_size=\"10604544\"] \n  14 [size=\"31870293\", alpha=\"0.06\", expect_size=\"9561088\"] \n  14 -> 16 [size =\"9561088\"]\n  15 [size=\"115493547\", alpha=\"0.16\", expect_size=\"34648064\"] \n  15 -> 18 [size =\"34648064\"]\n  15 -> 20 [size =\"34648064\"]\n  16 [size=\"165440853\", alpha=\"0.15\", expect_size=\"49632256\"] \n  16 -> 22 [size =\"49632256\"]\n  17 [size=\"147206827\", alpha=\"0.02\", expect_size=\"44162048\"] \n  17 -> 23 [size =\"44162048\"]\n  18 [size=\"42789547\", alpha=\"0.10\", expect_size=\"12836864\"] \n  18 -> 23 [size =\"12836864\"]\n  19 [size=\"126651733\", alpha=\"0.09\", expect_size=\"37995520\"] \n  19 -> 22 [size =\"37995520\"]\n  19 -> 25 [size =\"37995520\"]\n  20 [size=\"107165013\", alpha=\"0.13\", expect_size=\"32149504\"] \n  20 -> 25 [size =\"32149504\"]\n  21 [size=\"80168960\", alpha=\"0.06\", expect_size=\"24050688\"] \n  21 -> 22 [size =\"24050688\"]\n  21 -> 24 [size =\"24050688\"]\n  21 -> 26 [size =\"24050688\"]\n  22 [size=\"62607360\", alpha=\"0.14\", expect_size=\"18782208\"] \n  22 -> 27 [size =\"18782208\"]\n  22 -> 28 [size =\"18782208\"]\n  22 -> 31 [size =\"18782208\"]\n  23 [size=\"37341867\", alpha=\"0.14\", expect_size=\"11202560\"] \n  23 -> 28 [size =\"11202560\"]\n  23 -> 31 [size =\"11202560\"]\n  24 [size=\"63754240\", alpha=\"0.00\", expect_size=\"19126272\"] \n  24 -> 28 [size =\"19126272\"]\n  24 -> 30 [size =\"19126272\"]\n  25 [size=\"110475947\", alpha=\"0.07\", expect_size=\"33142784\"] \n  25 -> 28 [size =\"33142784\"]\n  25 -> 31 [size =\"33142784\"]\n  26 [size=\"82589013\", alpha=\"0.01\", expect_size=\"24776704\"] \n  26 -> 29 [size =\"24776704\"]\n  27 [size=\"43721387\", alpha=\"0.01\", expect_size=\"13116416\"] \n  27 -> 32 [size =\"13116416\"]\n  27 -> 33 [size =\"13116416\"]\n  27 -> 35 [size =\"13116416\"]\n  28 [size=\"58671787\", alpha=\"0.05\", expect_size=\"17601536\"] \n  28 -> 33 [size =\"17601536\"]\n  28 -> 34 [size =\"17601536\"]\n  29 [size=\"133789013\", alpha=\"0.12\", expect_size=\"40136704\"] \n  29 -> 34 [size =\"40136704\"]\n  30 [size=\"48158720\", alpha=\"0.06\", expect_size=\"14447616\"] \n  30 -> 34 [size =\"14447616\"]\n  31 [size=\"149835093\", alpha=\"0.10\", expect_size=\"44950528\"] \n  31 -> 33 [size =\"44950528\"]\n  31 -> 34 [size =\"44950528\"]\n  32 [size=\"39693653\", alpha=\"0.08\", expect_size=\"11908096\"] \n  32 -> 36 [size =\"11908096\"]\n  32 -> 38 [size =\"11908096\"]\n  32 -> 41 [size =\"11908096\"]\n  33 [size=\"147957760\", alpha=\"0.09\", expect_size=\"44387328\"] \n  33 -> 36 [size =\"44387328\"]\n  33 -> 38 [size =\"44387328\"]\n  33 -> 41 [size =\"44387328\"]\n  33 -> 42 [size =\"44387328\"]\n  34 [size=\"97208320\", alpha=\"0.12\", expect_size=\"29162496\"] \n  34 -> 36 [size =\"29162496\"]\n  34 -> 37 [size =\"29162496\"]\n  34 -> 38 [size =\"29162496\"]\n  34 -> 42 [size =\"29162496\"]\n  35 [size=\"99836587\", alpha=\"0.07\", expect_size=\"29950976\"] \n  35 -> 39 [size =\"29950976\"]\n  35 -> 40 [size =\"29950976\"]\n  36 [size=\"156839253\", alpha=\"0.00\", expect_size=\"47051776\"] \n  36 -> 43 [size =\"47051776\"]\n  37 [size=\"160969387\", alpha=\"0.11\", expect_size=\"48290816\"] \n  37 -> 43 [size =\"48290816\"]\n  38 [size=\"167086080\", alpha=\"0.04\", expect_size=\"50125824\"] \n  38 -> 43 [size =\"50125824\"]\n  38 -> 44 [size =\"50125824\"]\n  38 -> 45 [size =\"50125824\"]\n  39 [size=\"49960960\", alpha=\"0.12\", expect_size=\"14988288\"] \n  39 -> 44 [size =\"14988288\"]\n  40 [size=\"142977707\", alpha=\"0.10\", expect_size=\"42893312\"] \n  40 -> 45 [size =\"42893312\"]\n  41 [size=\"31064747\", alpha=\"0.17\", expect_size=\"9319424\"] \n  42 [size=\"109045760\", alpha=\"0.10\", expect_size=\"32713728\"] \n  42 -> 45 [size =\"32713728\"]\n  43 [size=\"174653440\", alpha=\"0.05\", expect_size=\"52396032\"] \n  44 [size=\"88477013\", alpha=\"0.06\", expect_size=\"26543104\"] \n  45 [size=\"22200320\", alpha=\"0.18\", expect_size=\"6660096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47131307\", alpha=\"0.09\", expect_size=\"14139392\"] \n  1 -> 3 [size =\"14139392\"]\n  2 [size=\"107772587\", alpha=\"0.08\", expect_size=\"32331776\"] \n  3 [size=\"67863893\", alpha=\"0.01\", expect_size=\"20359168\"] \n  3 -> 4 [size =\"20359168\"]\n  4 [size=\"93491200\", alpha=\"0.06\", expect_size=\"28047360\"] \n  4 -> 5 [size =\"28047360\"]\n  4 -> 6 [size =\"28047360\"]\n  4 -> 7 [size =\"28047360\"]\n  5 [size=\"97621333\", alpha=\"0.01\", expect_size=\"29286400\"] \n  5 -> 8 [size =\"29286400\"]\n  6 [size=\"52695040\", alpha=\"0.09\", expect_size=\"15808512\"] \n  7 [size=\"138584747\", alpha=\"0.02\", expect_size=\"41575424\"] \n  7 -> 9 [size =\"41575424\"]\n  7 -> 10 [size =\"41575424\"]\n  8 [size=\"151650987\", alpha=\"0.13\", expect_size=\"45495296\"] \n  8 -> 13 [size =\"45495296\"]\n  9 [size=\"160955733\", alpha=\"0.03\", expect_size=\"48286720\"] \n  9 -> 11 [size =\"48286720\"]\n  9 -> 12 [size =\"48286720\"]\n  10 [size=\"34628267\", alpha=\"0.18\", expect_size=\"10388480\"] \n  10 -> 12 [size =\"10388480\"]\n  11 [size=\"106738347\", alpha=\"0.11\", expect_size=\"32021504\"] \n  12 [size=\"18271573\", alpha=\"0.06\", expect_size=\"5481472\"] \n  12 -> 14 [size =\"5481472\"]\n  13 [size=\"80537600\", alpha=\"0.01\", expect_size=\"24161280\"] \n  13 -> 14 [size =\"24161280\"]\n  13 -> 15 [size =\"24161280\"]\n  14 [size=\"86067200\", alpha=\"0.10\", expect_size=\"25820160\"] \n  14 -> 16 [size =\"25820160\"]\n  14 -> 17 [size =\"25820160\"]\n  15 [size=\"132218880\", alpha=\"0.20\", expect_size=\"39665664\"] \n  15 -> 18 [size =\"39665664\"]\n  16 [size=\"137011200\", alpha=\"0.03\", expect_size=\"41103360\"] \n  16 -> 19 [size =\"41103360\"]\n  17 [size=\"53203627\", alpha=\"0.12\", expect_size=\"15961088\"] \n  17 -> 20 [size =\"15961088\"]\n  18 [size=\"69140480\", alpha=\"0.01\", expect_size=\"20742144\"] \n  19 [size=\"170158080\", alpha=\"0.08\", expect_size=\"51047424\"] \n  19 -> 21 [size =\"51047424\"]\n  20 [size=\"38993920\", alpha=\"0.06\", expect_size=\"11698176\"] \n  20 -> 22 [size =\"11698176\"]\n  20 -> 23 [size =\"11698176\"]\n  21 [size=\"24565760\", alpha=\"0.07\", expect_size=\"7369728\"] \n  21 -> 24 [size =\"7369728\"]\n  22 [size=\"107946667\", alpha=\"0.20\", expect_size=\"32384000\"] \n  22 -> 24 [size =\"32384000\"]\n  23 [size=\"157757440\", alpha=\"0.19\", expect_size=\"47327232\"] \n  24 [size=\"168499200\", alpha=\"0.07\", expect_size=\"50549760\"] \n  24 -> 25 [size =\"50549760\"]\n  25 [size=\"92883627\", alpha=\"0.06\", expect_size=\"27865088\"] \n  25 -> 26 [size =\"27865088\"]\n  25 -> 27 [size =\"27865088\"]\n  25 -> 28 [size =\"27865088\"]\n  26 [size=\"92129280\", alpha=\"0.10\", expect_size=\"27638784\"] \n  27 [size=\"117145600\", alpha=\"0.09\", expect_size=\"35143680\"] \n  27 -> 29 [size =\"35143680\"]\n  28 [size=\"52503893\", alpha=\"0.05\", expect_size=\"15751168\"] \n  29 [size=\"60948480\", alpha=\"0.19\", expect_size=\"18284544\"] \n  29 -> 30 [size =\"18284544\"]\n  29 -> 31 [size =\"18284544\"]\n  29 -> 32 [size =\"18284544\"]\n  29 -> 33 [size =\"18284544\"]\n  30 [size=\"125402453\", alpha=\"0.15\", expect_size=\"37620736\"] \n  31 [size=\"169840640\", alpha=\"0.03\", expect_size=\"50952192\"] \n  31 -> 35 [size =\"50952192\"]\n  31 -> 36 [size =\"50952192\"]\n  32 [size=\"66631680\", alpha=\"0.11\", expect_size=\"19989504\"] \n  32 -> 34 [size =\"19989504\"]\n  32 -> 36 [size =\"19989504\"]\n  33 [size=\"63365120\", alpha=\"0.06\", expect_size=\"19009536\"] \n  33 -> 34 [size =\"19009536\"]\n  33 -> 35 [size =\"19009536\"]\n  34 [size=\"53142187\", alpha=\"0.11\", expect_size=\"15942656\"] \n  35 [size=\"111981227\", alpha=\"0.10\", expect_size=\"33594368\"] \n  35 -> 37 [size =\"33594368\"]\n  35 -> 38 [size =\"33594368\"]\n  36 [size=\"162737493\", alpha=\"0.04\", expect_size=\"48821248\"] \n  36 -> 37 [size =\"48821248\"]\n  37 [size=\"83346773\", alpha=\"0.03\", expect_size=\"25004032\"] \n  38 [size=\"152207360\", alpha=\"0.09\", expect_size=\"45662208\"] \n  38 -> 39 [size =\"45662208\"]\n  38 -> 40 [size =\"45662208\"]\n  38 -> 41 [size =\"45662208\"]\n  39 [size=\"31634773\", alpha=\"0.14\", expect_size=\"9490432\"] \n  39 -> 44 [size =\"9490432\"]\n  40 [size=\"22398293\", alpha=\"0.01\", expect_size=\"6719488\"] \n  40 -> 42 [size =\"6719488\"]\n  40 -> 43 [size =\"6719488\"]\n  41 [size=\"141646507\", alpha=\"0.10\", expect_size=\"42493952\"] \n  41 -> 44 [size =\"42493952\"]\n  42 [size=\"164075520\", alpha=\"0.10\", expect_size=\"49222656\"] \n  42 -> 45 [size =\"49222656\"]\n  43 [size=\"90484053\", alpha=\"0.07\", expect_size=\"27145216\"] \n  44 [size=\"141219840\", alpha=\"0.04\", expect_size=\"42365952\"] \n  44 -> 45 [size =\"42365952\"]\n  45 [size=\"70301013\", alpha=\"0.11\", expect_size=\"21090304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17708373\", alpha=\"0.11\", expect_size=\"5312512\"] \n  1 -> 8 [size =\"5312512\"]\n  1 -> 8 [size =\"5312512\"]\n  1 -> 11 [size =\"5312512\"]\n  2 [size=\"153541973\", alpha=\"0.15\", expect_size=\"46062592\"] \n  2 -> 9 [size =\"46062592\"]\n  2 -> 11 [size =\"46062592\"]\n  2 -> 11 [size =\"46062592\"]\n  3 [size=\"144199680\", alpha=\"0.02\", expect_size=\"43259904\"] \n  3 -> 9 [size =\"43259904\"]\n  4 [size=\"153105067\", alpha=\"0.07\", expect_size=\"45931520\"] \n  4 -> 9 [size =\"45931520\"]\n  4 -> 10 [size =\"45931520\"]\n  5 [size=\"165556907\", alpha=\"0.06\", expect_size=\"49667072\"] \n  5 -> 9 [size =\"49667072\"]\n  5 -> 11 [size =\"49667072\"]\n  6 [size=\"104676693\", alpha=\"0.11\", expect_size=\"31403008\"] \n  6 -> 7 [size =\"31403008\"]\n  6 -> 8 [size =\"31403008\"]\n  7 [size=\"78219947\", alpha=\"0.10\", expect_size=\"23465984\"] \n  7 -> 13 [size =\"23465984\"]\n  7 -> 15 [size =\"23465984\"]\n  7 -> 16 [size =\"23465984\"]\n  8 [size=\"107465387\", alpha=\"0.17\", expect_size=\"32239616\"] \n  8 -> 14 [size =\"32239616\"]\n  8 -> 16 [size =\"32239616\"]\n  8 -> 16 [size =\"32239616\"]\n  9 [size=\"129809067\", alpha=\"0.05\", expect_size=\"38942720\"] \n  9 -> 13 [size =\"38942720\"]\n  9 -> 15 [size =\"38942720\"]\n  10 [size=\"164754773\", alpha=\"0.11\", expect_size=\"49426432\"] \n  10 -> 12 [size =\"49426432\"]\n  10 -> 14 [size =\"49426432\"]\n  11 [size=\"33938773\", alpha=\"0.09\", expect_size=\"10181632\"] \n  11 -> 12 [size =\"10181632\"]\n  12 [size=\"124296533\", alpha=\"0.17\", expect_size=\"37288960\"] \n  12 -> 20 [size =\"37288960\"]\n  12 -> 22 [size =\"37288960\"]\n  13 [size=\"85405013\", alpha=\"0.09\", expect_size=\"25621504\"] \n  13 -> 20 [size =\"25621504\"]\n  14 [size=\"102437547\", alpha=\"0.10\", expect_size=\"30731264\"] \n  14 -> 17 [size =\"30731264\"]\n  14 -> 18 [size =\"30731264\"]\n  14 -> 20 [size =\"30731264\"]\n  15 [size=\"160822613\", alpha=\"0.03\", expect_size=\"48246784\"] \n  15 -> 18 [size =\"48246784\"]\n  15 -> 19 [size =\"48246784\"]\n  15 -> 21 [size =\"48246784\"]\n  16 [size=\"50367147\", alpha=\"0.03\", expect_size=\"15110144\"] \n  16 -> 18 [size =\"15110144\"]\n  16 -> 21 [size =\"15110144\"]\n  16 -> 22 [size =\"15110144\"]\n  17 [size=\"140769280\", alpha=\"0.07\", expect_size=\"42230784\"] \n  17 -> 23 [size =\"42230784\"]\n  17 -> 25 [size =\"42230784\"]\n  18 [size=\"60340907\", alpha=\"0.04\", expect_size=\"18102272\"] \n  18 -> 23 [size =\"18102272\"]\n  18 -> 25 [size =\"18102272\"]\n  18 -> 26 [size =\"18102272\"]\n  18 -> 27 [size =\"18102272\"]\n  19 [size=\"40584533\", alpha=\"0.01\", expect_size=\"12175360\"] \n  19 -> 27 [size =\"12175360\"]\n  20 [size=\"83227307\", alpha=\"0.06\", expect_size=\"24968192\"] \n  21 [size=\"170086400\", alpha=\"0.11\", expect_size=\"51025920\"] \n  21 -> 23 [size =\"51025920\"]\n  21 -> 24 [size =\"51025920\"]\n  21 -> 26 [size =\"51025920\"]\n  21 -> 27 [size =\"51025920\"]\n  22 [size=\"85794133\", alpha=\"0.14\", expect_size=\"25738240\"] \n  22 -> 23 [size =\"25738240\"]\n  22 -> 24 [size =\"25738240\"]\n  22 -> 26 [size =\"25738240\"]\n  22 -> 27 [size =\"25738240\"]\n  23 [size=\"58511360\", alpha=\"0.13\", expect_size=\"17553408\"] \n  23 -> 28 [size =\"17553408\"]\n  23 -> 31 [size =\"17553408\"]\n  24 [size=\"126416213\", alpha=\"0.09\", expect_size=\"37924864\"] \n  25 [size=\"44414293\", alpha=\"0.03\", expect_size=\"13324288\"] \n  25 -> 28 [size =\"13324288\"]\n  25 -> 29 [size =\"13324288\"]\n  25 -> 30 [size =\"13324288\"]\n  25 -> 32 [size =\"13324288\"]\n  26 [size=\"68304213\", alpha=\"0.09\", expect_size=\"20491264\"] \n  26 -> 29 [size =\"20491264\"]\n  26 -> 32 [size =\"20491264\"]\n  27 [size=\"91299840\", alpha=\"0.03\", expect_size=\"27389952\"] \n  27 -> 31 [size =\"27389952\"]\n  27 -> 32 [size =\"27389952\"]\n  28 [size=\"147599360\", alpha=\"0.08\", expect_size=\"44279808\"] \n  28 -> 34 [size =\"44279808\"]\n  29 [size=\"23637333\", alpha=\"0.07\", expect_size=\"7091200\"] \n  29 -> 34 [size =\"7091200\"]\n  29 -> 35 [size =\"7091200\"]\n  29 -> 37 [size =\"7091200\"]\n  30 [size=\"27811840\", alpha=\"0.05\", expect_size=\"8343552\"] \n  30 -> 33 [size =\"8343552\"]\n  30 -> 34 [size =\"8343552\"]\n  30 -> 35 [size =\"8343552\"]\n  31 [size=\"73646080\", alpha=\"0.06\", expect_size=\"22093824\"] \n  31 -> 36 [size =\"22093824\"]\n  32 [size=\"161375573\", alpha=\"0.19\", expect_size=\"48412672\"] \n  33 [size=\"112486400\", alpha=\"0.02\", expect_size=\"33745920\"] \n  33 -> 40 [size =\"33745920\"]\n  33 -> 41 [size =\"33745920\"]\n  33 -> 42 [size =\"33745920\"]\n  34 [size=\"53708800\", alpha=\"0.15\", expect_size=\"16112640\"] \n  34 -> 39 [size =\"16112640\"]\n  34 -> 42 [size =\"16112640\"]\n  35 [size=\"120674987\", alpha=\"0.06\", expect_size=\"36202496\"] \n  35 -> 39 [size =\"36202496\"]\n  36 [size=\"146889387\", alpha=\"0.02\", expect_size=\"44066816\"] \n  36 -> 38 [size =\"44066816\"]\n  37 [size=\"62272853\", alpha=\"0.13\", expect_size=\"18681856\"] \n  37 -> 38 [size =\"18681856\"]\n  38 [size=\"84848640\", alpha=\"0.10\", expect_size=\"25454592\"] \n  38 -> 45 [size =\"25454592\"]\n  39 [size=\"147329707\", alpha=\"0.10\", expect_size=\"44198912\"] \n  39 -> 43 [size =\"44198912\"]\n  39 -> 44 [size =\"44198912\"]\n  40 [size=\"47476053\", alpha=\"0.18\", expect_size=\"14242816\"] \n  40 -> 43 [size =\"14242816\"]\n  40 -> 44 [size =\"14242816\"]\n  40 -> 45 [size =\"14242816\"]\n  41 [size=\"89849173\", alpha=\"0.05\", expect_size=\"26954752\"] \n  42 [size=\"133628587\", alpha=\"0.01\", expect_size=\"40088576\"] \n  42 -> 44 [size =\"40088576\"]\n  43 [size=\"128348160\", alpha=\"0.03\", expect_size=\"38504448\"] \n  44 [size=\"141940053\", alpha=\"0.18\", expect_size=\"42582016\"] \n  45 [size=\"102079147\", alpha=\"0.17\", expect_size=\"30623744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37884587\", alpha=\"0.02\", expect_size=\"11365376\"] \n  1 -> 34 [size =\"11365376\"]\n  1 -> 36 [size =\"11365376\"]\n  1 -> 39 [size =\"11365376\"]\n  1 -> 41 [size =\"11365376\"]\n  1 -> 42 [size =\"11365376\"]\n  2 [size=\"116398080\", alpha=\"0.03\", expect_size=\"34919424\"] \n  2 -> 34 [size =\"34919424\"]\n  2 -> 37 [size =\"34919424\"]\n  2 -> 41 [size =\"34919424\"]\n  2 -> 43 [size =\"34919424\"]\n  3 [size=\"155303253\", alpha=\"0.12\", expect_size=\"46590976\"] \n  3 -> 30 [size =\"46590976\"]\n  3 -> 31 [size =\"46590976\"]\n  3 -> 34 [size =\"46590976\"]\n  3 -> 40 [size =\"46590976\"]\n  3 -> 41 [size =\"46590976\"]\n  3 -> 42 [size =\"46590976\"]\n  3 -> 43 [size =\"46590976\"]\n  4 [size=\"73728000\", alpha=\"0.13\", expect_size=\"22118400\"] \n  4 -> 31 [size =\"22118400\"]\n  4 -> 32 [size =\"22118400\"]\n  4 -> 34 [size =\"22118400\"]\n  4 -> 37 [size =\"22118400\"]\n  4 -> 38 [size =\"22118400\"]\n  4 -> 40 [size =\"22118400\"]\n  4 -> 41 [size =\"22118400\"]\n  5 [size=\"154890240\", alpha=\"0.11\", expect_size=\"46467072\"] \n  5 -> 31 [size =\"46467072\"]\n  5 -> 32 [size =\"46467072\"]\n  5 -> 34 [size =\"46467072\"]\n  5 -> 41 [size =\"46467072\"]\n  6 [size=\"103062187\", alpha=\"0.16\", expect_size=\"30918656\"] \n  6 -> 31 [size =\"30918656\"]\n  6 -> 38 [size =\"30918656\"]\n  6 -> 43 [size =\"30918656\"]\n  7 [size=\"69717333\", alpha=\"0.07\", expect_size=\"20915200\"] \n  7 -> 32 [size =\"20915200\"]\n  7 -> 39 [size =\"20915200\"]\n  7 -> 41 [size =\"20915200\"]\n  7 -> 43 [size =\"20915200\"]\n  8 [size=\"145698133\", alpha=\"0.17\", expect_size=\"43709440\"] \n  8 -> 32 [size =\"43709440\"]\n  9 [size=\"55040000\", alpha=\"0.14\", expect_size=\"16512000\"] \n  9 -> 32 [size =\"16512000\"]\n  9 -> 34 [size =\"16512000\"]\n  9 -> 37 [size =\"16512000\"]\n  9 -> 40 [size =\"16512000\"]\n  9 -> 43 [size =\"16512000\"]\n  10 [size=\"113425067\", alpha=\"0.04\", expect_size=\"34027520\"] \n  10 -> 31 [size =\"34027520\"]\n  10 -> 32 [size =\"34027520\"]\n  10 -> 34 [size =\"34027520\"]\n  10 -> 37 [size =\"34027520\"]\n  10 -> 38 [size =\"34027520\"]\n  10 -> 40 [size =\"34027520\"]\n  10 -> 43 [size =\"34027520\"]\n  10 -> 44 [size =\"34027520\"]\n  11 [size=\"90251947\", alpha=\"0.12\", expect_size=\"27075584\"] \n  11 -> 37 [size =\"27075584\"]\n  12 [size=\"103280640\", alpha=\"0.15\", expect_size=\"30984192\"] \n  12 -> 30 [size =\"30984192\"]\n  12 -> 31 [size =\"30984192\"]\n  12 -> 38 [size =\"30984192\"]\n  13 [size=\"124788053\", alpha=\"0.01\", expect_size=\"37436416\"] \n  13 -> 37 [size =\"37436416\"]\n  13 -> 38 [size =\"37436416\"]\n  13 -> 39 [size =\"37436416\"]\n  13 -> 40 [size =\"37436416\"]\n  13 -> 43 [size =\"37436416\"]\n  14 [size=\"62324053\", alpha=\"0.18\", expect_size=\"18697216\"] \n  14 -> 31 [size =\"18697216\"]\n  14 -> 37 [size =\"18697216\"]\n  14 -> 43 [size =\"18697216\"]\n  14 -> 45 [size =\"18697216\"]\n  15 [size=\"166748160\", alpha=\"0.07\", expect_size=\"50024448\"] \n  15 -> 31 [size =\"50024448\"]\n  15 -> 32 [size =\"50024448\"]\n  15 -> 40 [size =\"50024448\"]\n  15 -> 43 [size =\"50024448\"]\n  16 [size=\"97798827\", alpha=\"0.09\", expect_size=\"29339648\"] \n  16 -> 31 [size =\"29339648\"]\n  16 -> 37 [size =\"29339648\"]\n  16 -> 40 [size =\"29339648\"]\n  16 -> 43 [size =\"29339648\"]\n  17 [size=\"63856640\", alpha=\"0.14\", expect_size=\"19156992\"] \n  17 -> 31 [size =\"19156992\"]\n  17 -> 39 [size =\"19156992\"]\n  17 -> 44 [size =\"19156992\"]\n  18 [size=\"118237867\", alpha=\"0.19\", expect_size=\"35471360\"] \n  18 -> 33 [size =\"35471360\"]\n  18 -> 34 [size =\"35471360\"]\n  18 -> 36 [size =\"35471360\"]\n  18 -> 41 [size =\"35471360\"]\n  18 -> 44 [size =\"35471360\"]\n  19 [size=\"95860053\", alpha=\"0.02\", expect_size=\"28758016\"] \n  19 -> 33 [size =\"28758016\"]\n  19 -> 36 [size =\"28758016\"]\n  19 -> 36 [size =\"28758016\"]\n  19 -> 37 [size =\"28758016\"]\n  19 -> 41 [size =\"28758016\"]\n  20 [size=\"52469760\", alpha=\"0.05\", expect_size=\"15740928\"] \n  20 -> 30 [size =\"15740928\"]\n  20 -> 41 [size =\"15740928\"]\n  21 [size=\"83899733\", alpha=\"0.11\", expect_size=\"25169920\"] \n  21 -> 32 [size =\"25169920\"]\n  21 -> 34 [size =\"25169920\"]\n  21 -> 38 [size =\"25169920\"]\n  21 -> 41 [size =\"25169920\"]\n  21 -> 43 [size =\"25169920\"]\n  22 [size=\"17500160\", alpha=\"0.10\", expect_size=\"5250048\"] \n  22 -> 34 [size =\"5250048\"]\n  22 -> 38 [size =\"5250048\"]\n  22 -> 39 [size =\"5250048\"]\n  22 -> 41 [size =\"5250048\"]\n  22 -> 45 [size =\"5250048\"]\n  23 [size=\"133474987\", alpha=\"0.07\", expect_size=\"40042496\"] \n  23 -> 35 [size =\"40042496\"]\n  23 -> 38 [size =\"40042496\"]\n  23 -> 41 [size =\"40042496\"]\n  23 -> 41 [size =\"40042496\"]\n  23 -> 44 [size =\"40042496\"]\n  24 [size=\"140028587\", alpha=\"0.10\", expect_size=\"42008576\"] \n  24 -> 30 [size =\"42008576\"]\n  24 -> 36 [size =\"42008576\"]\n  24 -> 39 [size =\"42008576\"]\n  24 -> 41 [size =\"42008576\"]\n  24 -> 43 [size =\"42008576\"]\n  25 [size=\"122098347\", alpha=\"0.11\", expect_size=\"36629504\"] \n  25 -> 36 [size =\"36629504\"]\n  25 -> 41 [size =\"36629504\"]\n  25 -> 44 [size =\"36629504\"]\n  26 [size=\"173981013\", alpha=\"0.03\", expect_size=\"52194304\"] \n  26 -> 31 [size =\"52194304\"]\n  26 -> 32 [size =\"52194304\"]\n  26 -> 41 [size =\"52194304\"]\n  27 [size=\"88920747\", alpha=\"0.02\", expect_size=\"26676224\"] \n  27 -> 31 [size =\"26676224\"]\n  27 -> 32 [size =\"26676224\"]\n  27 -> 34 [size =\"26676224\"]\n  27 -> 41 [size =\"26676224\"]\n  27 -> 45 [size =\"26676224\"]\n  28 [size=\"40198827\", alpha=\"0.16\", expect_size=\"12059648\"] \n  28 -> 32 [size =\"12059648\"]\n  28 -> 34 [size =\"12059648\"]\n  28 -> 37 [size =\"12059648\"]\n  28 -> 41 [size =\"12059648\"]\n  28 -> 44 [size =\"12059648\"]\n  28 -> 45 [size =\"12059648\"]\n  29 [size=\"30211413\", alpha=\"0.16\", expect_size=\"9063424\"] \n  29 -> 37 [size =\"9063424\"]\n  29 -> 40 [size =\"9063424\"]\n  29 -> 43 [size =\"9063424\"]\n  30 [size=\"42697387\", alpha=\"0.08\", expect_size=\"12809216\"] \n  31 [size=\"83950933\", alpha=\"0.09\", expect_size=\"25185280\"] \n  32 [size=\"174387200\", alpha=\"0.01\", expect_size=\"52316160\"] \n  33 [size=\"98355200\", alpha=\"0.06\", expect_size=\"29506560\"] \n  34 [size=\"150968320\", alpha=\"0.18\", expect_size=\"45290496\"] \n  35 [size=\"73908907\", alpha=\"0.08\", expect_size=\"22172672\"] \n  36 [size=\"161880747\", alpha=\"0.08\", expect_size=\"48564224\"] \n  37 [size=\"28607147\", alpha=\"0.15\", expect_size=\"8582144\"] \n  38 [size=\"40905387\", alpha=\"0.14\", expect_size=\"12271616\"] \n  39 [size=\"169710933\", alpha=\"0.03\", expect_size=\"50913280\"] \n  40 [size=\"138018133\", alpha=\"0.17\", expect_size=\"41405440\"] \n  41 [size=\"41772373\", alpha=\"0.19\", expect_size=\"12531712\"] \n  42 [size=\"111042560\", alpha=\"0.01\", expect_size=\"33312768\"] \n  43 [size=\"117056853\", alpha=\"0.18\", expect_size=\"35117056\"] \n  44 [size=\"167137280\", alpha=\"0.10\", expect_size=\"50141184\"] \n  45 [size=\"148838400\", alpha=\"0.16\", expect_size=\"44651520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52695040\", alpha=\"0.18\", expect_size=\"26347520\"] \n  1 -> 12 [size =\"26347520\"]\n  1 -> 14 [size =\"26347520\"]\n  1 -> 16 [size =\"26347520\"]\n  1 -> 17 [size =\"26347520\"]\n  1 -> 19 [size =\"26347520\"]\n  1 -> 21 [size =\"26347520\"]\n  2 [size=\"31498240\", alpha=\"0.09\", expect_size=\"15749120\"] \n  2 -> 12 [size =\"15749120\"]\n  2 -> 14 [size =\"15749120\"]\n  2 -> 19 [size =\"15749120\"]\n  2 -> 21 [size =\"15749120\"]\n  3 [size=\"68724736\", alpha=\"0.03\", expect_size=\"34362368\"] \n  3 -> 14 [size =\"34362368\"]\n  3 -> 15 [size =\"34362368\"]\n  3 -> 19 [size =\"34362368\"]\n  3 -> 20 [size =\"34362368\"]\n  3 -> 22 [size =\"34362368\"]\n  4 [size=\"35225600\", alpha=\"0.17\", expect_size=\"17612800\"] \n  4 -> 12 [size =\"17612800\"]\n  4 -> 15 [size =\"17612800\"]\n  4 -> 17 [size =\"17612800\"]\n  4 -> 20 [size =\"17612800\"]\n  4 -> 22 [size =\"17612800\"]\n  5 [size=\"97198080\", alpha=\"0.10\", expect_size=\"48599040\"] \n  5 -> 15 [size =\"48599040\"]\n  5 -> 16 [size =\"48599040\"]\n  5 -> 20 [size =\"48599040\"]\n  5 -> 21 [size =\"48599040\"]\n  6 [size=\"20023296\", alpha=\"0.17\", expect_size=\"10011648\"] \n  6 -> 12 [size =\"10011648\"]\n  6 -> 14 [size =\"10011648\"]\n  6 -> 15 [size =\"10011648\"]\n  6 -> 18 [size =\"10011648\"]\n  7 [size=\"80660480\", alpha=\"0.04\", expect_size=\"40330240\"] \n  7 -> 15 [size =\"40330240\"]\n  7 -> 17 [size =\"40330240\"]\n  7 -> 18 [size =\"40330240\"]\n  7 -> 20 [size =\"40330240\"]\n  7 -> 21 [size =\"40330240\"]\n  8 [size=\"86677504\", alpha=\"0.10\", expect_size=\"43338752\"] \n  8 -> 12 [size =\"43338752\"]\n  8 -> 14 [size =\"43338752\"]\n  8 -> 21 [size =\"43338752\"]\n  9 [size=\"48115712\", alpha=\"0.08\", expect_size=\"24057856\"] \n  9 -> 14 [size =\"24057856\"]\n  9 -> 17 [size =\"24057856\"]\n  9 -> 21 [size =\"24057856\"]\n  10 [size=\"66105344\", alpha=\"0.03\", expect_size=\"33052672\"] \n  10 -> 13 [size =\"33052672\"]\n  10 -> 14 [size =\"33052672\"]\n  10 -> 18 [size =\"33052672\"]\n  10 -> 21 [size =\"33052672\"]\n  11 [size=\"67608576\", alpha=\"0.14\", expect_size=\"33804288\"] \n  11 -> 12 [size =\"33804288\"]\n  11 -> 13 [size =\"33804288\"]\n  11 -> 14 [size =\"33804288\"]\n  11 -> 17 [size =\"33804288\"]\n  11 -> 21 [size =\"33804288\"]\n  12 [size=\"56160256\", alpha=\"0.04\", expect_size=\"28080128\"] \n  12 -> 24 [size =\"28080128\"]\n  12 -> 26 [size =\"28080128\"]\n  12 -> 27 [size =\"28080128\"]\n  12 -> 29 [size =\"28080128\"]\n  12 -> 30 [size =\"28080128\"]\n  12 -> 31 [size =\"28080128\"]\n  12 -> 35 [size =\"28080128\"]\n  13 [size=\"100519936\", alpha=\"0.07\", expect_size=\"50259968\"] \n  13 -> 23 [size =\"50259968\"]\n  13 -> 24 [size =\"50259968\"]\n  13 -> 26 [size =\"50259968\"]\n  13 -> 27 [size =\"50259968\"]\n  13 -> 30 [size =\"50259968\"]\n  13 -> 31 [size =\"50259968\"]\n  13 -> 34 [size =\"50259968\"]\n  14 [size=\"19591168\", alpha=\"0.14\", expect_size=\"9795584\"] \n  14 -> 23 [size =\"9795584\"]\n  14 -> 25 [size =\"9795584\"]\n  14 -> 26 [size =\"9795584\"]\n  14 -> 27 [size =\"9795584\"]\n  14 -> 35 [size =\"9795584\"]\n  14 -> 36 [size =\"9795584\"]\n  14 -> 37 [size =\"9795584\"]\n  15 [size=\"100507648\", alpha=\"0.15\", expect_size=\"50253824\"] \n  15 -> 23 [size =\"50253824\"]\n  15 -> 24 [size =\"50253824\"]\n  15 -> 33 [size =\"50253824\"]\n  15 -> 34 [size =\"50253824\"]\n  15 -> 35 [size =\"50253824\"]\n  15 -> 37 [size =\"50253824\"]\n  16 [size=\"54145024\", alpha=\"0.04\", expect_size=\"27072512\"] \n  16 -> 25 [size =\"27072512\"]\n  16 -> 26 [size =\"27072512\"]\n  16 -> 27 [size =\"27072512\"]\n  16 -> 28 [size =\"27072512\"]\n  16 -> 29 [size =\"27072512\"]\n  16 -> 30 [size =\"27072512\"]\n  16 -> 31 [size =\"27072512\"]\n  16 -> 36 [size =\"27072512\"]\n  17 [size=\"38162432\", alpha=\"0.15\", expect_size=\"19081216\"] \n  17 -> 24 [size =\"19081216\"]\n  17 -> 28 [size =\"19081216\"]\n  17 -> 30 [size =\"19081216\"]\n  17 -> 31 [size =\"19081216\"]\n  17 -> 34 [size =\"19081216\"]\n  17 -> 36 [size =\"19081216\"]\n  18 [size=\"56512512\", alpha=\"0.18\", expect_size=\"28256256\"] \n  18 -> 24 [size =\"28256256\"]\n  18 -> 29 [size =\"28256256\"]\n  18 -> 31 [size =\"28256256\"]\n  18 -> 34 [size =\"28256256\"]\n  18 -> 34 [size =\"28256256\"]\n  18 -> 36 [size =\"28256256\"]\n  19 [size=\"11220992\", alpha=\"0.13\", expect_size=\"5610496\"] \n  19 -> 23 [size =\"5610496\"]\n  19 -> 24 [size =\"5610496\"]\n  19 -> 30 [size =\"5610496\"]\n  19 -> 31 [size =\"5610496\"]\n  19 -> 34 [size =\"5610496\"]\n  19 -> 35 [size =\"5610496\"]\n  19 -> 37 [size =\"5610496\"]\n  20 [size=\"48754688\", alpha=\"0.10\", expect_size=\"24377344\"] \n  20 -> 23 [size =\"24377344\"]\n  20 -> 24 [size =\"24377344\"]\n  20 -> 30 [size =\"24377344\"]\n  20 -> 31 [size =\"24377344\"]\n  20 -> 34 [size =\"24377344\"]\n  21 [size=\"60887040\", alpha=\"0.17\", expect_size=\"30443520\"] \n  21 -> 26 [size =\"30443520\"]\n  21 -> 27 [size =\"30443520\"]\n  21 -> 31 [size =\"30443520\"]\n  21 -> 33 [size =\"30443520\"]\n  21 -> 35 [size =\"30443520\"]\n  22 [size=\"32010240\", alpha=\"0.08\", expect_size=\"16005120\"] \n  22 -> 26 [size =\"16005120\"]\n  22 -> 27 [size =\"16005120\"]\n  22 -> 30 [size =\"16005120\"]\n  22 -> 32 [size =\"16005120\"]\n  22 -> 34 [size =\"16005120\"]\n  22 -> 35 [size =\"16005120\"]\n  23 [size=\"48537600\", alpha=\"0.12\", expect_size=\"24268800\"] \n  23 -> 38 [size =\"24268800\"]\n  23 -> 41 [size =\"24268800\"]\n  23 -> 45 [size =\"24268800\"]\n  24 [size=\"81487872\", alpha=\"0.01\", expect_size=\"40743936\"] \n  24 -> 39 [size =\"40743936\"]\n  24 -> 41 [size =\"40743936\"]\n  24 -> 42 [size =\"40743936\"]\n  25 [size=\"52916224\", alpha=\"0.08\", expect_size=\"26458112\"] \n  25 -> 39 [size =\"26458112\"]\n  25 -> 42 [size =\"26458112\"]\n  26 [size=\"30220288\", alpha=\"0.17\", expect_size=\"15110144\"] \n  26 -> 39 [size =\"15110144\"]\n  26 -> 43 [size =\"15110144\"]\n  26 -> 45 [size =\"15110144\"]\n  27 [size=\"51365888\", alpha=\"0.02\", expect_size=\"25682944\"] \n  27 -> 39 [size =\"25682944\"]\n  27 -> 41 [size =\"25682944\"]\n  27 -> 42 [size =\"25682944\"]\n  27 -> 44 [size =\"25682944\"]\n  28 [size=\"29384704\", alpha=\"0.02\", expect_size=\"14692352\"] \n  28 -> 38 [size =\"14692352\"]\n  28 -> 40 [size =\"14692352\"]\n  28 -> 41 [size =\"14692352\"]\n  28 -> 42 [size =\"14692352\"]\n  29 [size=\"20752384\", alpha=\"0.10\", expect_size=\"10376192\"] \n  29 -> 40 [size =\"10376192\"]\n  30 [size=\"79880192\", alpha=\"0.10\", expect_size=\"39940096\"] \n  30 -> 39 [size =\"39940096\"]\n  30 -> 40 [size =\"39940096\"]\n  30 -> 41 [size =\"39940096\"]\n  30 -> 42 [size =\"39940096\"]\n  31 [size=\"34596864\", alpha=\"0.02\", expect_size=\"17298432\"] \n  31 -> 38 [size =\"17298432\"]\n  31 -> 39 [size =\"17298432\"]\n  31 -> 40 [size =\"17298432\"]\n  31 -> 41 [size =\"17298432\"]\n  31 -> 42 [size =\"17298432\"]\n  31 -> 44 [size =\"17298432\"]\n  31 -> 45 [size =\"17298432\"]\n  32 [size=\"21485568\", alpha=\"0.04\", expect_size=\"10742784\"] \n  32 -> 38 [size =\"10742784\"]\n  32 -> 39 [size =\"10742784\"]\n  32 -> 40 [size =\"10742784\"]\n  32 -> 42 [size =\"10742784\"]\n  32 -> 42 [size =\"10742784\"]\n  32 -> 44 [size =\"10742784\"]\n  33 [size=\"61556736\", alpha=\"0.05\", expect_size=\"30778368\"] \n  33 -> 38 [size =\"30778368\"]\n  33 -> 40 [size =\"30778368\"]\n  33 -> 41 [size =\"30778368\"]\n  34 [size=\"24311808\", alpha=\"0.08\", expect_size=\"12155904\"] \n  34 -> 38 [size =\"12155904\"]\n  34 -> 39 [size =\"12155904\"]\n  34 -> 43 [size =\"12155904\"]\n  34 -> 45 [size =\"12155904\"]\n  35 [size=\"28858368\", alpha=\"0.10\", expect_size=\"14429184\"] \n  35 -> 38 [size =\"14429184\"]\n  35 -> 40 [size =\"14429184\"]\n  35 -> 41 [size =\"14429184\"]\n  35 -> 42 [size =\"14429184\"]\n  35 -> 43 [size =\"14429184\"]\n  35 -> 45 [size =\"14429184\"]\n  36 [size=\"67543040\", alpha=\"0.01\", expect_size=\"33771520\"] \n  36 -> 40 [size =\"33771520\"]\n  36 -> 41 [size =\"33771520\"]\n  36 -> 45 [size =\"33771520\"]\n  37 [size=\"55531520\", alpha=\"0.18\", expect_size=\"27765760\"] \n  37 -> 38 [size =\"27765760\"]\n  37 -> 40 [size =\"27765760\"]\n  37 -> 42 [size =\"27765760\"]\n  37 -> 43 [size =\"27765760\"]\n  38 [size=\"62996480\", alpha=\"0.05\", expect_size=\"31498240\"] \n  39 [size=\"71761920\", alpha=\"0.12\", expect_size=\"35880960\"] \n  40 [size=\"25088000\", alpha=\"0.07\", expect_size=\"12544000\"] \n  41 [size=\"72964096\", alpha=\"0.12\", expect_size=\"36482048\"] \n  42 [size=\"83773440\", alpha=\"0.03\", expect_size=\"41886720\"] \n  43 [size=\"103192576\", alpha=\"0.01\", expect_size=\"51596288\"] \n  44 [size=\"32509952\", alpha=\"0.15\", expect_size=\"16254976\"] \n  45 [size=\"69576704\", alpha=\"0.17\", expect_size=\"34788352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31152640\", alpha=\"0.10\", expect_size=\"12461056\"] \n  1 -> 13 [size =\"12461056\"]\n  1 -> 15 [size =\"12461056\"]\n  1 -> 22 [size =\"12461056\"]\n  1 -> 23 [size =\"12461056\"]\n  1 -> 26 [size =\"12461056\"]\n  1 -> 27 [size =\"12461056\"]\n  1 -> 31 [size =\"12461056\"]\n  2 [size=\"83530240\", alpha=\"0.12\", expect_size=\"33412096\"] \n  2 -> 18 [size =\"33412096\"]\n  2 -> 21 [size =\"33412096\"]\n  2 -> 24 [size =\"33412096\"]\n  2 -> 26 [size =\"33412096\"]\n  2 -> 26 [size =\"33412096\"]\n  2 -> 29 [size =\"33412096\"]\n  3 [size=\"29030400\", alpha=\"0.10\", expect_size=\"11612160\"] \n  3 -> 13 [size =\"11612160\"]\n  3 -> 21 [size =\"11612160\"]\n  3 -> 22 [size =\"11612160\"]\n  3 -> 23 [size =\"11612160\"]\n  3 -> 27 [size =\"11612160\"]\n  3 -> 28 [size =\"11612160\"]\n  4 [size=\"123985920\", alpha=\"0.07\", expect_size=\"49594368\"] \n  4 -> 14 [size =\"49594368\"]\n  4 -> 15 [size =\"49594368\"]\n  4 -> 20 [size =\"49594368\"]\n  4 -> 21 [size =\"49594368\"]\n  4 -> 23 [size =\"49594368\"]\n  4 -> 24 [size =\"49594368\"]\n  4 -> 29 [size =\"49594368\"]\n  5 [size=\"45043200\", alpha=\"0.12\", expect_size=\"18017280\"] \n  5 -> 15 [size =\"18017280\"]\n  5 -> 18 [size =\"18017280\"]\n  5 -> 19 [size =\"18017280\"]\n  5 -> 23 [size =\"18017280\"]\n  5 -> 29 [size =\"18017280\"]\n  6 [size=\"58910720\", alpha=\"0.12\", expect_size=\"23564288\"] \n  6 -> 15 [size =\"23564288\"]\n  6 -> 21 [size =\"23564288\"]\n  6 -> 22 [size =\"23564288\"]\n  6 -> 23 [size =\"23564288\"]\n  6 -> 29 [size =\"23564288\"]\n  7 [size=\"63969280\", alpha=\"0.06\", expect_size=\"25587712\"] \n  7 -> 15 [size =\"25587712\"]\n  7 -> 17 [size =\"25587712\"]\n  7 -> 18 [size =\"25587712\"]\n  7 -> 21 [size =\"25587712\"]\n  7 -> 29 [size =\"25587712\"]\n  8 [size=\"30144000\", alpha=\"0.11\", expect_size=\"12057600\"] \n  8 -> 15 [size =\"12057600\"]\n  8 -> 21 [size =\"12057600\"]\n  8 -> 22 [size =\"12057600\"]\n  8 -> 30 [size =\"12057600\"]\n  9 [size=\"119324160\", alpha=\"0.17\", expect_size=\"47729664\"] \n  9 -> 18 [size =\"47729664\"]\n  9 -> 21 [size =\"47729664\"]\n  9 -> 23 [size =\"47729664\"]\n  9 -> 26 [size =\"47729664\"]\n  9 -> 27 [size =\"47729664\"]\n  9 -> 28 [size =\"47729664\"]\n  10 [size=\"85934080\", alpha=\"0.17\", expect_size=\"34373632\"] \n  10 -> 13 [size =\"34373632\"]\n  10 -> 22 [size =\"34373632\"]\n  10 -> 28 [size =\"34373632\"]\n  10 -> 32 [size =\"34373632\"]\n  11 [size=\"66352640\", alpha=\"0.13\", expect_size=\"26541056\"] \n  11 -> 15 [size =\"26541056\"]\n  11 -> 16 [size =\"26541056\"]\n  11 -> 17 [size =\"26541056\"]\n  11 -> 24 [size =\"26541056\"]\n  11 -> 26 [size =\"26541056\"]\n  11 -> 28 [size =\"26541056\"]\n  12 [size=\"125880320\", alpha=\"0.19\", expect_size=\"50352128\"] \n  12 -> 13 [size =\"50352128\"]\n  12 -> 16 [size =\"50352128\"]\n  12 -> 17 [size =\"50352128\"]\n  12 -> 21 [size =\"50352128\"]\n  12 -> 24 [size =\"50352128\"]\n  12 -> 25 [size =\"50352128\"]\n  12 -> 26 [size =\"50352128\"]\n  12 -> 29 [size =\"50352128\"]\n  12 -> 32 [size =\"50352128\"]\n  13 [size=\"77419520\", alpha=\"0.12\", expect_size=\"30967808\"] \n  13 -> 33 [size =\"30967808\"]\n  13 -> 42 [size =\"30967808\"]\n  13 -> 44 [size =\"30967808\"]\n  14 [size=\"17776640\", alpha=\"0.19\", expect_size=\"7110656\"] \n  14 -> 39 [size =\"7110656\"]\n  14 -> 43 [size =\"7110656\"]\n  14 -> 44 [size =\"7110656\"]\n  14 -> 45 [size =\"7110656\"]\n  15 [size=\"56373760\", alpha=\"0.14\", expect_size=\"22549504\"] \n  15 -> 33 [size =\"22549504\"]\n  15 -> 38 [size =\"22549504\"]\n  15 -> 39 [size =\"22549504\"]\n  15 -> 42 [size =\"22549504\"]\n  15 -> 43 [size =\"22549504\"]\n  15 -> 44 [size =\"22549504\"]\n  15 -> 45 [size =\"22549504\"]\n  16 [size=\"125491200\", alpha=\"0.13\", expect_size=\"50196480\"] \n  16 -> 33 [size =\"50196480\"]\n  16 -> 41 [size =\"50196480\"]\n  16 -> 42 [size =\"50196480\"]\n  16 -> 43 [size =\"50196480\"]\n  16 -> 44 [size =\"50196480\"]\n  16 -> 44 [size =\"50196480\"]\n  16 -> 45 [size =\"50196480\"]\n  17 [size=\"78712320\", alpha=\"0.16\", expect_size=\"31484928\"] \n  17 -> 33 [size =\"31484928\"]\n  17 -> 36 [size =\"31484928\"]\n  17 -> 41 [size =\"31484928\"]\n  17 -> 44 [size =\"31484928\"]\n  17 -> 45 [size =\"31484928\"]\n  18 [size=\"111528960\", alpha=\"0.11\", expect_size=\"44611584\"] \n  18 -> 33 [size =\"44611584\"]\n  18 -> 36 [size =\"44611584\"]\n  18 -> 37 [size =\"44611584\"]\n  18 -> 38 [size =\"44611584\"]\n  18 -> 39 [size =\"44611584\"]\n  18 -> 40 [size =\"44611584\"]\n  18 -> 41 [size =\"44611584\"]\n  18 -> 43 [size =\"44611584\"]\n  18 -> 44 [size =\"44611584\"]\n  19 [size=\"58728960\", alpha=\"0.12\", expect_size=\"23491584\"] \n  19 -> 36 [size =\"23491584\"]\n  19 -> 37 [size =\"23491584\"]\n  19 -> 39 [size =\"23491584\"]\n  19 -> 41 [size =\"23491584\"]\n  19 -> 44 [size =\"23491584\"]\n  20 [size=\"39298560\", alpha=\"0.02\", expect_size=\"15719424\"] \n  20 -> 36 [size =\"15719424\"]\n  20 -> 37 [size =\"15719424\"]\n  20 -> 41 [size =\"15719424\"]\n  20 -> 42 [size =\"15719424\"]\n  20 -> 44 [size =\"15719424\"]\n  20 -> 45 [size =\"15719424\"]\n  21 [size=\"19806720\", alpha=\"0.14\", expect_size=\"7922688\"] \n  21 -> 36 [size =\"7922688\"]\n  21 -> 38 [size =\"7922688\"]\n  21 -> 40 [size =\"7922688\"]\n  21 -> 42 [size =\"7922688\"]\n  21 -> 43 [size =\"7922688\"]\n  21 -> 45 [size =\"7922688\"]\n  22 [size=\"96163840\", alpha=\"0.19\", expect_size=\"38465536\"] \n  22 -> 37 [size =\"38465536\"]\n  22 -> 43 [size =\"38465536\"]\n  22 -> 45 [size =\"38465536\"]\n  23 [size=\"91043840\", alpha=\"0.06\", expect_size=\"36417536\"] \n  23 -> 36 [size =\"36417536\"]\n  23 -> 37 [size =\"36417536\"]\n  23 -> 40 [size =\"36417536\"]\n  23 -> 42 [size =\"36417536\"]\n  23 -> 43 [size =\"36417536\"]\n  24 [size=\"42496000\", alpha=\"0.12\", expect_size=\"16998400\"] \n  24 -> 36 [size =\"16998400\"]\n  24 -> 41 [size =\"16998400\"]\n  24 -> 42 [size =\"16998400\"]\n  24 -> 42 [size =\"16998400\"]\n  24 -> 43 [size =\"16998400\"]\n  25 [size=\"36485120\", alpha=\"0.03\", expect_size=\"14594048\"] \n  25 -> 35 [size =\"14594048\"]\n  25 -> 36 [size =\"14594048\"]\n  25 -> 37 [size =\"14594048\"]\n  25 -> 38 [size =\"14594048\"]\n  25 -> 41 [size =\"14594048\"]\n  25 -> 42 [size =\"14594048\"]\n  25 -> 43 [size =\"14594048\"]\n  25 -> 44 [size =\"14594048\"]\n  26 [size=\"121996800\", alpha=\"0.03\", expect_size=\"48798720\"] \n  26 -> 33 [size =\"48798720\"]\n  26 -> 41 [size =\"48798720\"]\n  26 -> 42 [size =\"48798720\"]\n  26 -> 43 [size =\"48798720\"]\n  26 -> 45 [size =\"48798720\"]\n  27 [size=\"79784960\", alpha=\"0.10\", expect_size=\"31913984\"] \n  27 -> 36 [size =\"31913984\"]\n  27 -> 40 [size =\"31913984\"]\n  27 -> 41 [size =\"31913984\"]\n  27 -> 42 [size =\"31913984\"]\n  28 [size=\"54103040\", alpha=\"0.01\", expect_size=\"21641216\"] \n  28 -> 37 [size =\"21641216\"]\n  28 -> 39 [size =\"21641216\"]\n  28 -> 40 [size =\"21641216\"]\n  29 [size=\"117493760\", alpha=\"0.10\", expect_size=\"46997504\"] \n  29 -> 34 [size =\"46997504\"]\n  29 -> 37 [size =\"46997504\"]\n  29 -> 43 [size =\"46997504\"]\n  30 [size=\"71255040\", alpha=\"0.11\", expect_size=\"28502016\"] \n  30 -> 34 [size =\"28502016\"]\n  30 -> 37 [size =\"28502016\"]\n  30 -> 40 [size =\"28502016\"]\n  30 -> 43 [size =\"28502016\"]\n  30 -> 45 [size =\"28502016\"]\n  31 [size=\"81090560\", alpha=\"0.01\", expect_size=\"32436224\"] \n  31 -> 33 [size =\"32436224\"]\n  31 -> 42 [size =\"32436224\"]\n  32 [size=\"47080960\", alpha=\"0.10\", expect_size=\"18832384\"] \n  32 -> 36 [size =\"18832384\"]\n  32 -> 38 [size =\"18832384\"]\n  32 -> 39 [size =\"18832384\"]\n  32 -> 44 [size =\"18832384\"]\n  32 -> 45 [size =\"18832384\"]\n  33 [size=\"39651840\", alpha=\"0.10\", expect_size=\"15860736\"] \n  34 [size=\"74728960\", alpha=\"0.11\", expect_size=\"29891584\"] \n  35 [size=\"27261440\", alpha=\"0.19\", expect_size=\"10904576\"] \n  36 [size=\"47155200\", alpha=\"0.07\", expect_size=\"18862080\"] \n  37 [size=\"62243840\", alpha=\"0.05\", expect_size=\"24897536\"] \n  38 [size=\"123394560\", alpha=\"0.00\", expect_size=\"49357824\"] \n  39 [size=\"129679360\", alpha=\"0.03\", expect_size=\"51871744\"] \n  40 [size=\"69352960\", alpha=\"0.10\", expect_size=\"27741184\"] \n  41 [size=\"15244800\", alpha=\"0.19\", expect_size=\"6097920\"] \n  42 [size=\"20597760\", alpha=\"0.01\", expect_size=\"8239104\"] \n  43 [size=\"80225280\", alpha=\"0.17\", expect_size=\"32090112\"] \n  44 [size=\"22510080\", alpha=\"0.18\", expect_size=\"9004032\"] \n  45 [size=\"88053760\", alpha=\"0.02\", expect_size=\"35221504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80762880\", alpha=\"0.12\", expect_size=\"40381440\"] \n  1 -> 30 [size =\"40381440\"]\n  1 -> 31 [size =\"40381440\"]\n  1 -> 32 [size =\"40381440\"]\n  1 -> 35 [size =\"40381440\"]\n  1 -> 37 [size =\"40381440\"]\n  2 [size=\"26560512\", alpha=\"0.04\", expect_size=\"13280256\"] \n  2 -> 30 [size =\"13280256\"]\n  2 -> 32 [size =\"13280256\"]\n  2 -> 35 [size =\"13280256\"]\n  2 -> 35 [size =\"13280256\"]\n  2 -> 41 [size =\"13280256\"]\n  3 [size=\"58568704\", alpha=\"0.03\", expect_size=\"29284352\"] \n  3 -> 30 [size =\"29284352\"]\n  3 -> 32 [size =\"29284352\"]\n  3 -> 35 [size =\"29284352\"]\n  3 -> 40 [size =\"29284352\"]\n  3 -> 42 [size =\"29284352\"]\n  3 -> 44 [size =\"29284352\"]\n  3 -> 45 [size =\"29284352\"]\n  4 [size=\"103407616\", alpha=\"0.00\", expect_size=\"51703808\"] \n  4 -> 30 [size =\"51703808\"]\n  4 -> 31 [size =\"51703808\"]\n  4 -> 35 [size =\"51703808\"]\n  4 -> 40 [size =\"51703808\"]\n  4 -> 41 [size =\"51703808\"]\n  4 -> 44 [size =\"51703808\"]\n  5 [size=\"86677504\", alpha=\"0.06\", expect_size=\"43338752\"] \n  5 -> 35 [size =\"43338752\"]\n  5 -> 37 [size =\"43338752\"]\n  5 -> 38 [size =\"43338752\"]\n  5 -> 41 [size =\"43338752\"]\n  5 -> 41 [size =\"43338752\"]\n  5 -> 42 [size =\"43338752\"]\n  5 -> 44 [size =\"43338752\"]\n  6 [size=\"94003200\", alpha=\"0.08\", expect_size=\"47001600\"] \n  6 -> 32 [size =\"47001600\"]\n  6 -> 35 [size =\"47001600\"]\n  6 -> 38 [size =\"47001600\"]\n  6 -> 41 [size =\"47001600\"]\n  6 -> 42 [size =\"47001600\"]\n  7 [size=\"41422848\", alpha=\"0.05\", expect_size=\"20711424\"] \n  7 -> 32 [size =\"20711424\"]\n  7 -> 38 [size =\"20711424\"]\n  7 -> 41 [size =\"20711424\"]\n  8 [size=\"48238592\", alpha=\"0.04\", expect_size=\"24119296\"] \n  8 -> 31 [size =\"24119296\"]\n  8 -> 32 [size =\"24119296\"]\n  8 -> 33 [size =\"24119296\"]\n  8 -> 34 [size =\"24119296\"]\n  8 -> 36 [size =\"24119296\"]\n  8 -> 37 [size =\"24119296\"]\n  8 -> 41 [size =\"24119296\"]\n  8 -> 44 [size =\"24119296\"]\n  9 [size=\"75751424\", alpha=\"0.17\", expect_size=\"37875712\"] \n  9 -> 30 [size =\"37875712\"]\n  9 -> 31 [size =\"37875712\"]\n  9 -> 32 [size =\"37875712\"]\n  9 -> 37 [size =\"37875712\"]\n  9 -> 38 [size =\"37875712\"]\n  9 -> 40 [size =\"37875712\"]\n  9 -> 41 [size =\"37875712\"]\n  9 -> 44 [size =\"37875712\"]\n  10 [size=\"84871168\", alpha=\"0.07\", expect_size=\"42435584\"] \n  10 -> 30 [size =\"42435584\"]\n  10 -> 31 [size =\"42435584\"]\n  10 -> 36 [size =\"42435584\"]\n  10 -> 38 [size =\"42435584\"]\n  10 -> 38 [size =\"42435584\"]\n  10 -> 41 [size =\"42435584\"]\n  10 -> 41 [size =\"42435584\"]\n  10 -> 44 [size =\"42435584\"]\n  11 [size=\"13193216\", alpha=\"0.09\", expect_size=\"6596608\"] \n  11 -> 31 [size =\"6596608\"]\n  11 -> 32 [size =\"6596608\"]\n  11 -> 33 [size =\"6596608\"]\n  11 -> 35 [size =\"6596608\"]\n  11 -> 37 [size =\"6596608\"]\n  11 -> 38 [size =\"6596608\"]\n  11 -> 41 [size =\"6596608\"]\n  11 -> 42 [size =\"6596608\"]\n  11 -> 44 [size =\"6596608\"]\n  12 [size=\"71387136\", alpha=\"0.13\", expect_size=\"35693568\"] \n  12 -> 32 [size =\"35693568\"]\n  12 -> 35 [size =\"35693568\"]\n  12 -> 36 [size =\"35693568\"]\n  12 -> 38 [size =\"35693568\"]\n  12 -> 44 [size =\"35693568\"]\n  13 [size=\"89952256\", alpha=\"0.01\", expect_size=\"44976128\"] \n  13 -> 30 [size =\"44976128\"]\n  13 -> 32 [size =\"44976128\"]\n  13 -> 36 [size =\"44976128\"]\n  13 -> 37 [size =\"44976128\"]\n  13 -> 38 [size =\"44976128\"]\n  13 -> 44 [size =\"44976128\"]\n  14 [size=\"10962944\", alpha=\"0.03\", expect_size=\"5481472\"] \n  14 -> 30 [size =\"5481472\"]\n  14 -> 35 [size =\"5481472\"]\n  14 -> 38 [size =\"5481472\"]\n  14 -> 40 [size =\"5481472\"]\n  14 -> 44 [size =\"5481472\"]\n  15 [size=\"12765184\", alpha=\"0.17\", expect_size=\"6382592\"] \n  15 -> 30 [size =\"6382592\"]\n  15 -> 31 [size =\"6382592\"]\n  15 -> 32 [size =\"6382592\"]\n  15 -> 35 [size =\"6382592\"]\n  15 -> 38 [size =\"6382592\"]\n  15 -> 40 [size =\"6382592\"]\n  15 -> 42 [size =\"6382592\"]\n  15 -> 44 [size =\"6382592\"]\n  15 -> 45 [size =\"6382592\"]\n  16 [size=\"43384832\", alpha=\"0.06\", expect_size=\"21692416\"] \n  16 -> 30 [size =\"21692416\"]\n  16 -> 31 [size =\"21692416\"]\n  16 -> 32 [size =\"21692416\"]\n  16 -> 33 [size =\"21692416\"]\n  16 -> 38 [size =\"21692416\"]\n  16 -> 43 [size =\"21692416\"]\n  17 [size=\"81817600\", alpha=\"0.03\", expect_size=\"40908800\"] \n  17 -> 30 [size =\"40908800\"]\n  17 -> 31 [size =\"40908800\"]\n  17 -> 38 [size =\"40908800\"]\n  17 -> 44 [size =\"40908800\"]\n  18 [size=\"11417600\", alpha=\"0.20\", expect_size=\"5708800\"] \n  18 -> 30 [size =\"5708800\"]\n  18 -> 31 [size =\"5708800\"]\n  18 -> 32 [size =\"5708800\"]\n  18 -> 35 [size =\"5708800\"]\n  18 -> 36 [size =\"5708800\"]\n  18 -> 38 [size =\"5708800\"]\n  19 [size=\"30238720\", alpha=\"0.10\", expect_size=\"15119360\"] \n  19 -> 30 [size =\"15119360\"]\n  19 -> 31 [size =\"15119360\"]\n  19 -> 33 [size =\"15119360\"]\n  19 -> 35 [size =\"15119360\"]\n  19 -> 38 [size =\"15119360\"]\n  19 -> 38 [size =\"15119360\"]\n  19 -> 40 [size =\"15119360\"]\n  19 -> 42 [size =\"15119360\"]\n  19 -> 44 [size =\"15119360\"]\n  20 [size=\"16652288\", alpha=\"0.19\", expect_size=\"8326144\"] \n  20 -> 30 [size =\"8326144\"]\n  20 -> 31 [size =\"8326144\"]\n  20 -> 33 [size =\"8326144\"]\n  20 -> 35 [size =\"8326144\"]\n  20 -> 38 [size =\"8326144\"]\n  20 -> 40 [size =\"8326144\"]\n  20 -> 40 [size =\"8326144\"]\n  20 -> 44 [size =\"8326144\"]\n  21 [size=\"48494592\", alpha=\"0.04\", expect_size=\"24247296\"] \n  21 -> 30 [size =\"24247296\"]\n  21 -> 31 [size =\"24247296\"]\n  21 -> 32 [size =\"24247296\"]\n  21 -> 35 [size =\"24247296\"]\n  21 -> 40 [size =\"24247296\"]\n  21 -> 44 [size =\"24247296\"]\n  22 [size=\"91213824\", alpha=\"0.12\", expect_size=\"45606912\"] \n  22 -> 30 [size =\"45606912\"]\n  22 -> 31 [size =\"45606912\"]\n  22 -> 32 [size =\"45606912\"]\n  22 -> 35 [size =\"45606912\"]\n  22 -> 38 [size =\"45606912\"]\n  22 -> 39 [size =\"45606912\"]\n  22 -> 40 [size =\"45606912\"]\n  22 -> 44 [size =\"45606912\"]\n  22 -> 45 [size =\"45606912\"]\n  23 [size=\"56778752\", alpha=\"0.10\", expect_size=\"28389376\"] \n  23 -> 30 [size =\"28389376\"]\n  23 -> 31 [size =\"28389376\"]\n  23 -> 35 [size =\"28389376\"]\n  23 -> 35 [size =\"28389376\"]\n  23 -> 36 [size =\"28389376\"]\n  23 -> 38 [size =\"28389376\"]\n  23 -> 40 [size =\"28389376\"]\n  23 -> 44 [size =\"28389376\"]\n  24 [size=\"59340800\", alpha=\"0.08\", expect_size=\"29670400\"] \n  24 -> 31 [size =\"29670400\"]\n  24 -> 31 [size =\"29670400\"]\n  24 -> 32 [size =\"29670400\"]\n  24 -> 36 [size =\"29670400\"]\n  24 -> 38 [size =\"29670400\"]\n  24 -> 40 [size =\"29670400\"]\n  24 -> 40 [size =\"29670400\"]\n  24 -> 44 [size =\"29670400\"]\n  25 [size=\"75833344\", alpha=\"0.02\", expect_size=\"37916672\"] \n  25 -> 31 [size =\"37916672\"]\n  25 -> 32 [size =\"37916672\"]\n  25 -> 38 [size =\"37916672\"]\n  25 -> 43 [size =\"37916672\"]\n  25 -> 44 [size =\"37916672\"]\n  26 [size=\"59705344\", alpha=\"0.13\", expect_size=\"29852672\"] \n  26 -> 30 [size =\"29852672\"]\n  26 -> 33 [size =\"29852672\"]\n  26 -> 35 [size =\"29852672\"]\n  26 -> 37 [size =\"29852672\"]\n  26 -> 38 [size =\"29852672\"]\n  26 -> 41 [size =\"29852672\"]\n  26 -> 44 [size =\"29852672\"]\n  27 [size=\"88295424\", alpha=\"0.11\", expect_size=\"44147712\"] \n  27 -> 30 [size =\"44147712\"]\n  27 -> 31 [size =\"44147712\"]\n  27 -> 32 [size =\"44147712\"]\n  27 -> 33 [size =\"44147712\"]\n  27 -> 35 [size =\"44147712\"]\n  27 -> 38 [size =\"44147712\"]\n  27 -> 40 [size =\"44147712\"]\n  27 -> 41 [size =\"44147712\"]\n  27 -> 44 [size =\"44147712\"]\n  28 [size=\"102846464\", alpha=\"0.18\", expect_size=\"51423232\"] \n  28 -> 30 [size =\"51423232\"]\n  28 -> 31 [size =\"51423232\"]\n  28 -> 32 [size =\"51423232\"]\n  28 -> 33 [size =\"51423232\"]\n  28 -> 35 [size =\"51423232\"]\n  28 -> 38 [size =\"51423232\"]\n  28 -> 41 [size =\"51423232\"]\n  28 -> 41 [size =\"51423232\"]\n  28 -> 42 [size =\"51423232\"]\n  29 [size=\"102520832\", alpha=\"0.18\", expect_size=\"51260416\"] \n  29 -> 30 [size =\"51260416\"]\n  29 -> 31 [size =\"51260416\"]\n  29 -> 32 [size =\"51260416\"]\n  29 -> 35 [size =\"51260416\"]\n  29 -> 38 [size =\"51260416\"]\n  29 -> 42 [size =\"51260416\"]\n  30 [size=\"54827008\", alpha=\"0.13\", expect_size=\"27413504\"] \n  31 [size=\"52336640\", alpha=\"0.10\", expect_size=\"26168320\"] \n  32 [size=\"70957056\", alpha=\"0.19\", expect_size=\"35478528\"] \n  33 [size=\"32393216\", alpha=\"0.05\", expect_size=\"16196608\"] \n  34 [size=\"79099904\", alpha=\"0.11\", expect_size=\"39549952\"] \n  35 [size=\"20883456\", alpha=\"0.18\", expect_size=\"10441728\"] \n  36 [size=\"28309504\", alpha=\"0.11\", expect_size=\"14154752\"] \n  37 [size=\"90523648\", alpha=\"0.00\", expect_size=\"45261824\"] \n  38 [size=\"49721344\", alpha=\"0.09\", expect_size=\"24860672\"] \n  39 [size=\"38027264\", alpha=\"0.02\", expect_size=\"19013632\"] \n  40 [size=\"26337280\", alpha=\"0.17\", expect_size=\"13168640\"] \n  41 [size=\"89038848\", alpha=\"0.19\", expect_size=\"44519424\"] \n  42 [size=\"40093696\", alpha=\"0.19\", expect_size=\"20046848\"] \n  43 [size=\"34779136\", alpha=\"0.08\", expect_size=\"17389568\"] \n  44 [size=\"58191872\", alpha=\"0.08\", expect_size=\"29095936\"] \n  45 [size=\"16435200\", alpha=\"0.02\", expect_size=\"8217600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72488960\", alpha=\"0.04\", expect_size=\"21746688\"] \n  1 -> 2 [size =\"21746688\"]\n  2 [size=\"136321707\", alpha=\"0.18\", expect_size=\"40896512\"] \n  2 -> 3 [size =\"40896512\"]\n  3 [size=\"51916800\", alpha=\"0.01\", expect_size=\"15575040\"] \n  3 -> 4 [size =\"15575040\"]\n  4 [size=\"151200427\", alpha=\"0.14\", expect_size=\"45360128\"] \n  4 -> 5 [size =\"45360128\"]\n  5 [size=\"87934293\", alpha=\"0.04\", expect_size=\"26380288\"] \n  5 -> 6 [size =\"26380288\"]\n  6 [size=\"72164693\", alpha=\"0.19\", expect_size=\"21649408\"] \n  6 -> 7 [size =\"21649408\"]\n  7 [size=\"66334720\", alpha=\"0.18\", expect_size=\"19900416\"] \n  7 -> 8 [size =\"19900416\"]\n  8 [size=\"57432747\", alpha=\"0.05\", expect_size=\"17229824\"] \n  8 -> 9 [size =\"17229824\"]\n  9 [size=\"171465387\", alpha=\"0.04\", expect_size=\"51439616\"] \n  9 -> 10 [size =\"51439616\"]\n  10 [size=\"77199360\", alpha=\"0.01\", expect_size=\"23159808\"] \n  10 -> 11 [size =\"23159808\"]\n  11 [size=\"158306987\", alpha=\"0.20\", expect_size=\"47492096\"] \n  11 -> 12 [size =\"47492096\"]\n  12 [size=\"31546027\", alpha=\"0.05\", expect_size=\"9463808\"] \n  12 -> 13 [size =\"9463808\"]\n  13 [size=\"17995093\", alpha=\"0.10\", expect_size=\"5398528\"] \n  13 -> 14 [size =\"5398528\"]\n  14 [size=\"27426133\", alpha=\"0.20\", expect_size=\"8227840\"] \n  14 -> 15 [size =\"8227840\"]\n  15 [size=\"137806507\", alpha=\"0.18\", expect_size=\"41341952\"] \n  15 -> 16 [size =\"41341952\"]\n  16 [size=\"172936533\", alpha=\"0.09\", expect_size=\"51880960\"] \n  16 -> 17 [size =\"51880960\"]\n  17 [size=\"163358720\", alpha=\"0.02\", expect_size=\"49007616\"] \n  17 -> 18 [size =\"49007616\"]\n  18 [size=\"148517547\", alpha=\"0.17\", expect_size=\"44555264\"] \n  18 -> 19 [size =\"44555264\"]\n  19 [size=\"33877333\", alpha=\"0.07\", expect_size=\"10163200\"] \n  19 -> 20 [size =\"10163200\"]\n  20 [size=\"64003413\", alpha=\"0.19\", expect_size=\"19201024\"] \n  20 -> 21 [size =\"19201024\"]\n  21 [size=\"72587947\", alpha=\"0.18\", expect_size=\"21776384\"] \n  21 -> 22 [size =\"21776384\"]\n  22 [size=\"69799253\", alpha=\"0.12\", expect_size=\"20939776\"] \n  22 -> 23 [size =\"20939776\"]\n  23 [size=\"110680747\", alpha=\"0.10\", expect_size=\"33204224\"] \n  23 -> 24 [size =\"33204224\"]\n  24 [size=\"29713067\", alpha=\"0.05\", expect_size=\"8913920\"] \n  24 -> 25 [size =\"8913920\"]\n  25 [size=\"29409280\", alpha=\"0.10\", expect_size=\"8822784\"] \n  25 -> 26 [size =\"8822784\"]\n  26 [size=\"168383147\", alpha=\"0.01\", expect_size=\"50514944\"] \n  26 -> 27 [size =\"50514944\"]\n  27 [size=\"83609600\", alpha=\"0.18\", expect_size=\"25082880\"] \n  27 -> 28 [size =\"25082880\"]\n  28 [size=\"95726933\", alpha=\"0.01\", expect_size=\"28718080\"] \n  28 -> 29 [size =\"28718080\"]\n  29 [size=\"70522880\", alpha=\"0.03\", expect_size=\"21156864\"] \n  29 -> 30 [size =\"21156864\"]\n  30 [size=\"127945387\", alpha=\"0.13\", expect_size=\"38383616\"] \n  30 -> 31 [size =\"38383616\"]\n  31 [size=\"121029973\", alpha=\"0.00\", expect_size=\"36308992\"] \n  31 -> 32 [size =\"36308992\"]\n  32 [size=\"104789333\", alpha=\"0.10\", expect_size=\"31436800\"] \n  32 -> 33 [size =\"31436800\"]\n  33 [size=\"40789333\", alpha=\"0.19\", expect_size=\"12236800\"] \n  33 -> 34 [size =\"12236800\"]\n  34 [size=\"120750080\", alpha=\"0.10\", expect_size=\"36225024\"] \n  34 -> 35 [size =\"36225024\"]\n  35 [size=\"163829760\", alpha=\"0.16\", expect_size=\"49148928\"] \n  35 -> 36 [size =\"49148928\"]\n  36 [size=\"83196587\", alpha=\"0.02\", expect_size=\"24958976\"] \n  36 -> 37 [size =\"24958976\"]\n  37 [size=\"90835627\", alpha=\"0.06\", expect_size=\"27250688\"] \n  37 -> 38 [size =\"27250688\"]\n  38 [size=\"78312107\", alpha=\"0.07\", expect_size=\"23493632\"] \n  38 -> 39 [size =\"23493632\"]\n  39 [size=\"85589333\", alpha=\"0.10\", expect_size=\"25676800\"] \n  39 -> 40 [size =\"25676800\"]\n  40 [size=\"109366613\", alpha=\"0.19\", expect_size=\"32809984\"] \n  40 -> 41 [size =\"32809984\"]\n  41 [size=\"52087467\", alpha=\"0.15\", expect_size=\"15626240\"] \n  41 -> 42 [size =\"15626240\"]\n  42 [size=\"54579200\", alpha=\"0.18\", expect_size=\"16373760\"] \n  42 -> 43 [size =\"16373760\"]\n  43 [size=\"130914987\", alpha=\"0.12\", expect_size=\"39274496\"] \n  43 -> 44 [size =\"39274496\"]\n  44 [size=\"124327253\", alpha=\"0.08\", expect_size=\"37298176\"] \n  44 -> 45 [size =\"37298176\"]\n  45 [size=\"44765867\", alpha=\"0.06\", expect_size=\"13429760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32448512\", alpha=\"0.13\", expect_size=\"16224256\"] \n  1 -> 7 [size =\"16224256\"]\n  1 -> 8 [size =\"16224256\"]\n  1 -> 11 [size =\"16224256\"]\n  2 [size=\"34568192\", alpha=\"0.06\", expect_size=\"17284096\"] \n  2 -> 10 [size =\"17284096\"]\n  3 [size=\"104437760\", alpha=\"0.19\", expect_size=\"52218880\"] \n  3 -> 7 [size =\"52218880\"]\n  3 -> 10 [size =\"52218880\"]\n  4 [size=\"34080768\", alpha=\"0.02\", expect_size=\"17040384\"] \n  4 -> 8 [size =\"17040384\"]\n  4 -> 9 [size =\"17040384\"]\n  4 -> 10 [size =\"17040384\"]\n  5 [size=\"17291264\", alpha=\"0.08\", expect_size=\"8645632\"] \n  5 -> 8 [size =\"8645632\"]\n  5 -> 9 [size =\"8645632\"]\n  6 [size=\"35532800\", alpha=\"0.01\", expect_size=\"17766400\"] \n  6 -> 8 [size =\"17766400\"]\n  6 -> 9 [size =\"17766400\"]\n  7 [size=\"37437440\", alpha=\"0.01\", expect_size=\"18718720\"] \n  7 -> 12 [size =\"18718720\"]\n  7 -> 13 [size =\"18718720\"]\n  7 -> 14 [size =\"18718720\"]\n  7 -> 15 [size =\"18718720\"]\n  7 -> 16 [size =\"18718720\"]\n  8 [size=\"52908032\", alpha=\"0.09\", expect_size=\"26454016\"] \n  8 -> 13 [size =\"26454016\"]\n  8 -> 16 [size =\"26454016\"]\n  9 [size=\"95967232\", alpha=\"0.16\", expect_size=\"47983616\"] \n  9 -> 13 [size =\"47983616\"]\n  9 -> 14 [size =\"47983616\"]\n  10 [size=\"101144576\", alpha=\"0.04\", expect_size=\"50572288\"] \n  10 -> 12 [size =\"50572288\"]\n  10 -> 15 [size =\"50572288\"]\n  11 [size=\"28760064\", alpha=\"0.08\", expect_size=\"14380032\"] \n  11 -> 14 [size =\"14380032\"]\n  12 [size=\"88602624\", alpha=\"0.12\", expect_size=\"44301312\"] \n  12 -> 18 [size =\"44301312\"]\n  12 -> 19 [size =\"44301312\"]\n  12 -> 20 [size =\"44301312\"]\n  12 -> 21 [size =\"44301312\"]\n  13 [size=\"20289536\", alpha=\"0.13\", expect_size=\"10144768\"] \n  13 -> 17 [size =\"10144768\"]\n  13 -> 18 [size =\"10144768\"]\n  13 -> 20 [size =\"10144768\"]\n  14 [size=\"15095808\", alpha=\"0.05\", expect_size=\"7547904\"] \n  14 -> 17 [size =\"7547904\"]\n  14 -> 18 [size =\"7547904\"]\n  14 -> 19 [size =\"7547904\"]\n  14 -> 20 [size =\"7547904\"]\n  15 [size=\"26503168\", alpha=\"0.06\", expect_size=\"13251584\"] \n  15 -> 17 [size =\"13251584\"]\n  15 -> 19 [size =\"13251584\"]\n  16 [size=\"63211520\", alpha=\"0.18\", expect_size=\"31605760\"] \n  16 -> 21 [size =\"31605760\"]\n  17 [size=\"66621440\", alpha=\"0.03\", expect_size=\"33310720\"] \n  18 [size=\"71368704\", alpha=\"0.06\", expect_size=\"35684352\"] \n  18 -> 23 [size =\"35684352\"]\n  18 -> 26 [size =\"35684352\"]\n  19 [size=\"18950144\", alpha=\"0.17\", expect_size=\"9475072\"] \n  19 -> 26 [size =\"9475072\"]\n  20 [size=\"94367744\", alpha=\"0.11\", expect_size=\"47183872\"] \n  20 -> 22 [size =\"47183872\"]\n  20 -> 23 [size =\"47183872\"]\n  20 -> 26 [size =\"47183872\"]\n  21 [size=\"16807936\", alpha=\"0.09\", expect_size=\"8403968\"] \n  21 -> 23 [size =\"8403968\"]\n  21 -> 24 [size =\"8403968\"]\n  21 -> 25 [size =\"8403968\"]\n  22 [size=\"52824064\", alpha=\"0.12\", expect_size=\"26412032\"] \n  22 -> 29 [size =\"26412032\"]\n  23 [size=\"16119808\", alpha=\"0.15\", expect_size=\"8059904\"] \n  23 -> 30 [size =\"8059904\"]\n  23 -> 31 [size =\"8059904\"]\n  24 [size=\"78952448\", alpha=\"0.03\", expect_size=\"39476224\"] \n  24 -> 28 [size =\"39476224\"]\n  24 -> 29 [size =\"39476224\"]\n  24 -> 30 [size =\"39476224\"]\n  24 -> 31 [size =\"39476224\"]\n  25 [size=\"100194304\", alpha=\"0.13\", expect_size=\"50097152\"] \n  25 -> 27 [size =\"50097152\"]\n  25 -> 31 [size =\"50097152\"]\n  26 [size=\"33755136\", alpha=\"0.08\", expect_size=\"16877568\"] \n  26 -> 27 [size =\"16877568\"]\n  26 -> 29 [size =\"16877568\"]\n  27 [size=\"26146816\", alpha=\"0.09\", expect_size=\"13073408\"] \n  27 -> 32 [size =\"13073408\"]\n  27 -> 33 [size =\"13073408\"]\n  27 -> 34 [size =\"13073408\"]\n  27 -> 35 [size =\"13073408\"]\n  28 [size=\"40630272\", alpha=\"0.18\", expect_size=\"20315136\"] \n  28 -> 33 [size =\"20315136\"]\n  28 -> 34 [size =\"20315136\"]\n  29 [size=\"69302272\", alpha=\"0.06\", expect_size=\"34651136\"] \n  29 -> 36 [size =\"34651136\"]\n  30 [size=\"55273472\", alpha=\"0.13\", expect_size=\"27636736\"] \n  30 -> 35 [size =\"27636736\"]\n  31 [size=\"10647552\", alpha=\"0.04\", expect_size=\"5323776\"] \n  31 -> 32 [size =\"5323776\"]\n  31 -> 34 [size =\"5323776\"]\n  31 -> 35 [size =\"5323776\"]\n  32 [size=\"51761152\", alpha=\"0.11\", expect_size=\"25880576\"] \n  32 -> 37 [size =\"25880576\"]\n  32 -> 38 [size =\"25880576\"]\n  32 -> 39 [size =\"25880576\"]\n  32 -> 40 [size =\"25880576\"]\n  33 [size=\"13955072\", alpha=\"0.01\", expect_size=\"6977536\"] \n  33 -> 37 [size =\"6977536\"]\n  33 -> 39 [size =\"6977536\"]\n  33 -> 41 [size =\"6977536\"]\n  34 [size=\"85555200\", alpha=\"0.11\", expect_size=\"42777600\"] \n  34 -> 37 [size =\"42777600\"]\n  35 [size=\"101412864\", alpha=\"0.05\", expect_size=\"50706432\"] \n  35 -> 38 [size =\"50706432\"]\n  36 [size=\"68335616\", alpha=\"0.10\", expect_size=\"34167808\"] \n  36 -> 39 [size =\"34167808\"]\n  37 [size=\"11372544\", alpha=\"0.07\", expect_size=\"5686272\"] \n  37 -> 44 [size =\"5686272\"]\n  38 [size=\"51849216\", alpha=\"0.17\", expect_size=\"25924608\"] \n  38 -> 42 [size =\"25924608\"]\n  38 -> 43 [size =\"25924608\"]\n  38 -> 44 [size =\"25924608\"]\n  39 [size=\"43444224\", alpha=\"0.08\", expect_size=\"21722112\"] \n  39 -> 42 [size =\"21722112\"]\n  39 -> 43 [size =\"21722112\"]\n  40 [size=\"71639040\", alpha=\"0.18\", expect_size=\"35819520\"] \n  41 [size=\"38350848\", alpha=\"0.08\", expect_size=\"19175424\"] \n  41 -> 43 [size =\"19175424\"]\n  41 -> 44 [size =\"19175424\"]\n  41 -> 45 [size =\"19175424\"]\n  42 [size=\"56227840\", alpha=\"0.08\", expect_size=\"28113920\"] \n  43 [size=\"14645248\", alpha=\"0.09\", expect_size=\"7322624\"] \n  44 [size=\"17776640\", alpha=\"0.04\", expect_size=\"8888320\"] \n  45 [size=\"70236160\", alpha=\"0.19\", expect_size=\"35118080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151391573\", alpha=\"0.15\", expect_size=\"45417472\"] \n  1 -> 7 [size =\"45417472\"]\n  1 -> 9 [size =\"45417472\"]\n  1 -> 13 [size =\"45417472\"]\n  2 [size=\"90920960\", alpha=\"0.07\", expect_size=\"27276288\"] \n  2 -> 7 [size =\"27276288\"]\n  2 -> 8 [size =\"27276288\"]\n  2 -> 9 [size =\"27276288\"]\n  2 -> 10 [size =\"27276288\"]\n  2 -> 11 [size =\"27276288\"]\n  2 -> 12 [size =\"27276288\"]\n  3 [size=\"59982507\", alpha=\"0.19\", expect_size=\"17994752\"] \n  3 -> 7 [size =\"17994752\"]\n  3 -> 9 [size =\"17994752\"]\n  3 -> 11 [size =\"17994752\"]\n  3 -> 12 [size =\"17994752\"]\n  3 -> 13 [size =\"17994752\"]\n  4 [size=\"94023680\", alpha=\"0.08\", expect_size=\"28207104\"] \n  4 -> 7 [size =\"28207104\"]\n  4 -> 9 [size =\"28207104\"]\n  4 -> 12 [size =\"28207104\"]\n  4 -> 13 [size =\"28207104\"]\n  5 [size=\"140386987\", alpha=\"0.20\", expect_size=\"42116096\"] \n  5 -> 7 [size =\"42116096\"]\n  5 -> 9 [size =\"42116096\"]\n  5 -> 12 [size =\"42116096\"]\n  6 [size=\"41099947\", alpha=\"0.12\", expect_size=\"12329984\"] \n  6 -> 7 [size =\"12329984\"]\n  6 -> 12 [size =\"12329984\"]\n  6 -> 12 [size =\"12329984\"]\n  6 -> 13 [size =\"12329984\"]\n  7 [size=\"92712960\", alpha=\"0.19\", expect_size=\"27813888\"] \n  7 -> 14 [size =\"27813888\"]\n  7 -> 17 [size =\"27813888\"]\n  7 -> 18 [size =\"27813888\"]\n  8 [size=\"49718613\", alpha=\"0.12\", expect_size=\"14915584\"] \n  8 -> 14 [size =\"14915584\"]\n  8 -> 15 [size =\"14915584\"]\n  8 -> 16 [size =\"14915584\"]\n  8 -> 17 [size =\"14915584\"]\n  8 -> 18 [size =\"14915584\"]\n  9 [size=\"163829760\", alpha=\"0.12\", expect_size=\"49148928\"] \n  9 -> 15 [size =\"49148928\"]\n  9 -> 16 [size =\"49148928\"]\n  9 -> 16 [size =\"49148928\"]\n  9 -> 17 [size =\"49148928\"]\n  9 -> 18 [size =\"49148928\"]\n  9 -> 19 [size =\"49148928\"]\n  10 [size=\"121139200\", alpha=\"0.19\", expect_size=\"36341760\"] \n  10 -> 17 [size =\"36341760\"]\n  10 -> 19 [size =\"36341760\"]\n  11 [size=\"117364053\", alpha=\"0.08\", expect_size=\"35209216\"] \n  11 -> 14 [size =\"35209216\"]\n  11 -> 15 [size =\"35209216\"]\n  11 -> 16 [size =\"35209216\"]\n  11 -> 17 [size =\"35209216\"]\n  11 -> 18 [size =\"35209216\"]\n  11 -> 19 [size =\"35209216\"]\n  12 [size=\"74984107\", alpha=\"0.09\", expect_size=\"22495232\"] \n  12 -> 14 [size =\"22495232\"]\n  12 -> 15 [size =\"22495232\"]\n  12 -> 17 [size =\"22495232\"]\n  12 -> 18 [size =\"22495232\"]\n  12 -> 19 [size =\"22495232\"]\n  12 -> 19 [size =\"22495232\"]\n  13 [size=\"128839680\", alpha=\"0.17\", expect_size=\"38651904\"] \n  13 -> 14 [size =\"38651904\"]\n  13 -> 17 [size =\"38651904\"]\n  14 [size=\"117674667\", alpha=\"0.10\", expect_size=\"35302400\"] \n  14 -> 20 [size =\"35302400\"]\n  14 -> 21 [size =\"35302400\"]\n  15 [size=\"22654293\", alpha=\"0.14\", expect_size=\"6796288\"] \n  15 -> 20 [size =\"6796288\"]\n  15 -> 21 [size =\"6796288\"]\n  16 [size=\"21326507\", alpha=\"0.09\", expect_size=\"6397952\"] \n  16 -> 20 [size =\"6397952\"]\n  16 -> 22 [size =\"6397952\"]\n  17 [size=\"115636907\", alpha=\"0.03\", expect_size=\"34691072\"] \n  17 -> 22 [size =\"34691072\"]\n  18 [size=\"106158080\", alpha=\"0.17\", expect_size=\"31847424\"] \n  18 -> 20 [size =\"31847424\"]\n  18 -> 21 [size =\"31847424\"]\n  19 [size=\"39495680\", alpha=\"0.02\", expect_size=\"11848704\"] \n  19 -> 20 [size =\"11848704\"]\n  19 -> 21 [size =\"11848704\"]\n  19 -> 22 [size =\"11848704\"]\n  20 [size=\"136649387\", alpha=\"0.08\", expect_size=\"40994816\"] \n  20 -> 23 [size =\"40994816\"]\n  20 -> 24 [size =\"40994816\"]\n  20 -> 25 [size =\"40994816\"]\n  20 -> 26 [size =\"40994816\"]\n  20 -> 28 [size =\"40994816\"]\n  20 -> 29 [size =\"40994816\"]\n  21 [size=\"132389547\", alpha=\"0.10\", expect_size=\"39716864\"] \n  21 -> 23 [size =\"39716864\"]\n  21 -> 24 [size =\"39716864\"]\n  21 -> 25 [size =\"39716864\"]\n  21 -> 26 [size =\"39716864\"]\n  21 -> 27 [size =\"39716864\"]\n  21 -> 28 [size =\"39716864\"]\n  21 -> 29 [size =\"39716864\"]\n  22 [size=\"35013973\", alpha=\"0.02\", expect_size=\"10504192\"] \n  22 -> 23 [size =\"10504192\"]\n  22 -> 24 [size =\"10504192\"]\n  22 -> 25 [size =\"10504192\"]\n  22 -> 26 [size =\"10504192\"]\n  22 -> 27 [size =\"10504192\"]\n  22 -> 29 [size =\"10504192\"]\n  23 [size=\"105140907\", alpha=\"0.20\", expect_size=\"31542272\"] \n  23 -> 30 [size =\"31542272\"]\n  23 -> 31 [size =\"31542272\"]\n  24 [size=\"84585813\", alpha=\"0.07\", expect_size=\"25375744\"] \n  24 -> 30 [size =\"25375744\"]\n  24 -> 31 [size =\"25375744\"]\n  24 -> 32 [size =\"25375744\"]\n  25 [size=\"165799253\", alpha=\"0.09\", expect_size=\"49739776\"] \n  25 -> 30 [size =\"49739776\"]\n  26 [size=\"120159573\", alpha=\"0.15\", expect_size=\"36047872\"] \n  26 -> 31 [size =\"36047872\"]\n  26 -> 32 [size =\"36047872\"]\n  27 [size=\"33679360\", alpha=\"0.10\", expect_size=\"10103808\"] \n  27 -> 30 [size =\"10103808\"]\n  27 -> 32 [size =\"10103808\"]\n  28 [size=\"56640853\", alpha=\"0.09\", expect_size=\"16992256\"] \n  28 -> 30 [size =\"16992256\"]\n  28 -> 31 [size =\"16992256\"]\n  28 -> 32 [size =\"16992256\"]\n  29 [size=\"33198080\", alpha=\"0.07\", expect_size=\"9959424\"] \n  29 -> 31 [size =\"9959424\"]\n  29 -> 32 [size =\"9959424\"]\n  29 -> 32 [size =\"9959424\"]\n  30 [size=\"52469760\", alpha=\"0.18\", expect_size=\"15740928\"] \n  30 -> 33 [size =\"15740928\"]\n  30 -> 34 [size =\"15740928\"]\n  30 -> 35 [size =\"15740928\"]\n  30 -> 36 [size =\"15740928\"]\n  31 [size=\"114872320\", alpha=\"0.02\", expect_size=\"34461696\"] \n  31 -> 33 [size =\"34461696\"]\n  31 -> 34 [size =\"34461696\"]\n  31 -> 35 [size =\"34461696\"]\n  31 -> 36 [size =\"34461696\"]\n  31 -> 37 [size =\"34461696\"]\n  32 [size=\"39755093\", alpha=\"0.13\", expect_size=\"11926528\"] \n  32 -> 33 [size =\"11926528\"]\n  32 -> 34 [size =\"11926528\"]\n  32 -> 35 [size =\"11926528\"]\n  32 -> 36 [size =\"11926528\"]\n  32 -> 37 [size =\"11926528\"]\n  33 [size=\"57845760\", alpha=\"0.18\", expect_size=\"17353728\"] \n  33 -> 39 [size =\"17353728\"]\n  33 -> 40 [size =\"17353728\"]\n  34 [size=\"54370987\", alpha=\"0.16\", expect_size=\"16311296\"] \n  34 -> 38 [size =\"16311296\"]\n  34 -> 40 [size =\"16311296\"]\n  34 -> 43 [size =\"16311296\"]\n  34 -> 45 [size =\"16311296\"]\n  35 [size=\"105878187\", alpha=\"0.15\", expect_size=\"31763456\"] \n  35 -> 38 [size =\"31763456\"]\n  35 -> 39 [size =\"31763456\"]\n  35 -> 40 [size =\"31763456\"]\n  35 -> 42 [size =\"31763456\"]\n  35 -> 43 [size =\"31763456\"]\n  35 -> 44 [size =\"31763456\"]\n  36 [size=\"20705280\", alpha=\"0.14\", expect_size=\"6211584\"] \n  36 -> 38 [size =\"6211584\"]\n  36 -> 39 [size =\"6211584\"]\n  36 -> 40 [size =\"6211584\"]\n  36 -> 42 [size =\"6211584\"]\n  36 -> 43 [size =\"6211584\"]\n  36 -> 44 [size =\"6211584\"]\n  36 -> 45 [size =\"6211584\"]\n  37 [size=\"137048747\", alpha=\"0.06\", expect_size=\"41114624\"] \n  37 -> 38 [size =\"41114624\"]\n  37 -> 40 [size =\"41114624\"]\n  37 -> 41 [size =\"41114624\"]\n  37 -> 43 [size =\"41114624\"]\n  37 -> 43 [size =\"41114624\"]\n  37 -> 45 [size =\"41114624\"]\n  37 -> 45 [size =\"41114624\"]\n  38 [size=\"58292907\", alpha=\"0.09\", expect_size=\"17487872\"] \n  39 [size=\"131249493\", alpha=\"0.14\", expect_size=\"39374848\"] \n  40 [size=\"30412800\", alpha=\"0.15\", expect_size=\"9123840\"] \n  41 [size=\"174025387\", alpha=\"0.11\", expect_size=\"52207616\"] \n  42 [size=\"32829440\", alpha=\"0.08\", expect_size=\"9848832\"] \n  43 [size=\"136192000\", alpha=\"0.17\", expect_size=\"40857600\"] \n  44 [size=\"123620693\", alpha=\"0.15\", expect_size=\"37086208\"] \n  45 [size=\"95317333\", alpha=\"0.11\", expect_size=\"28595200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32401920\", alpha=\"0.15\", expect_size=\"12960768\"] \n  1 -> 2 [size =\"12960768\"]\n  2 [size=\"124354560\", alpha=\"0.12\", expect_size=\"49741824\"] \n  2 -> 3 [size =\"49741824\"]\n  3 [size=\"65198080\", alpha=\"0.05\", expect_size=\"26079232\"] \n  3 -> 4 [size =\"26079232\"]\n  4 [size=\"96289280\", alpha=\"0.05\", expect_size=\"38515712\"] \n  4 -> 5 [size =\"38515712\"]\n  5 [size=\"50014720\", alpha=\"0.20\", expect_size=\"20005888\"] \n  5 -> 6 [size =\"20005888\"]\n  6 [size=\"67328000\", alpha=\"0.09\", expect_size=\"26931200\"] \n  6 -> 7 [size =\"26931200\"]\n  7 [size=\"21527040\", alpha=\"0.07\", expect_size=\"8610816\"] \n  7 -> 8 [size =\"8610816\"]\n  8 [size=\"38374400\", alpha=\"0.15\", expect_size=\"15349760\"] \n  8 -> 9 [size =\"15349760\"]\n  9 [size=\"38912000\", alpha=\"0.06\", expect_size=\"15564800\"] \n  9 -> 10 [size =\"15564800\"]\n  10 [size=\"70110720\", alpha=\"0.02\", expect_size=\"28044288\"] \n  10 -> 11 [size =\"28044288\"]\n  11 [size=\"101199360\", alpha=\"0.04\", expect_size=\"40479744\"] \n  11 -> 12 [size =\"40479744\"]\n  12 [size=\"70440960\", alpha=\"0.01\", expect_size=\"28176384\"] \n  12 -> 13 [size =\"28176384\"]\n  13 [size=\"25989120\", alpha=\"0.11\", expect_size=\"10395648\"] \n  13 -> 14 [size =\"10395648\"]\n  14 [size=\"52715520\", alpha=\"0.18\", expect_size=\"21086208\"] \n  14 -> 15 [size =\"21086208\"]\n  15 [size=\"84380160\", alpha=\"0.02\", expect_size=\"33752064\"] \n  15 -> 16 [size =\"33752064\"]\n  16 [size=\"83348480\", alpha=\"0.07\", expect_size=\"33339392\"] \n  16 -> 17 [size =\"33339392\"]\n  17 [size=\"15749120\", alpha=\"0.02\", expect_size=\"6299648\"] \n  17 -> 18 [size =\"6299648\"]\n  18 [size=\"58923520\", alpha=\"0.01\", expect_size=\"23569408\"] \n  18 -> 19 [size =\"23569408\"]\n  19 [size=\"28856320\", alpha=\"0.00\", expect_size=\"11542528\"] \n  19 -> 20 [size =\"11542528\"]\n  20 [size=\"62863360\", alpha=\"0.07\", expect_size=\"25145344\"] \n  20 -> 21 [size =\"25145344\"]\n  21 [size=\"74972160\", alpha=\"0.17\", expect_size=\"29988864\"] \n  21 -> 22 [size =\"29988864\"]\n  22 [size=\"101163520\", alpha=\"0.07\", expect_size=\"40465408\"] \n  22 -> 23 [size =\"40465408\"]\n  23 [size=\"109560320\", alpha=\"0.05\", expect_size=\"43824128\"] \n  23 -> 24 [size =\"43824128\"]\n  24 [size=\"54123520\", alpha=\"0.17\", expect_size=\"21649408\"] \n  24 -> 25 [size =\"21649408\"]\n  25 [size=\"44922880\", alpha=\"0.15\", expect_size=\"17969152\"] \n  25 -> 26 [size =\"17969152\"]\n  26 [size=\"56791040\", alpha=\"0.02\", expect_size=\"22716416\"] \n  26 -> 27 [size =\"22716416\"]\n  27 [size=\"96529920\", alpha=\"0.11\", expect_size=\"38611968\"] \n  27 -> 28 [size =\"38611968\"]\n  28 [size=\"108986880\", alpha=\"0.05\", expect_size=\"43594752\"] \n  28 -> 29 [size =\"43594752\"]\n  29 [size=\"117486080\", alpha=\"0.02\", expect_size=\"46994432\"] \n  29 -> 30 [size =\"46994432\"]\n  30 [size=\"117987840\", alpha=\"0.10\", expect_size=\"47195136\"] \n  30 -> 31 [size =\"47195136\"]\n  31 [size=\"41891840\", alpha=\"0.12\", expect_size=\"16756736\"] \n  31 -> 32 [size =\"16756736\"]\n  32 [size=\"26457600\", alpha=\"0.04\", expect_size=\"10583040\"] \n  32 -> 33 [size =\"10583040\"]\n  33 [size=\"64970240\", alpha=\"0.18\", expect_size=\"25988096\"] \n  33 -> 34 [size =\"25988096\"]\n  34 [size=\"91555840\", alpha=\"0.19\", expect_size=\"36622336\"] \n  34 -> 35 [size =\"36622336\"]\n  35 [size=\"71434240\", alpha=\"0.12\", expect_size=\"28573696\"] \n  35 -> 36 [size =\"28573696\"]\n  36 [size=\"41515520\", alpha=\"0.16\", expect_size=\"16606208\"] \n  36 -> 37 [size =\"16606208\"]\n  37 [size=\"56020480\", alpha=\"0.02\", expect_size=\"22408192\"] \n  37 -> 38 [size =\"22408192\"]\n  38 [size=\"123368960\", alpha=\"0.15\", expect_size=\"49347584\"] \n  38 -> 39 [size =\"49347584\"]\n  39 [size=\"32898560\", alpha=\"0.10\", expect_size=\"13159424\"] \n  39 -> 40 [size =\"13159424\"]\n  40 [size=\"46351360\", alpha=\"0.15\", expect_size=\"18540544\"] \n  40 -> 41 [size =\"18540544\"]\n  41 [size=\"102763520\", alpha=\"0.09\", expect_size=\"41105408\"] \n  41 -> 42 [size =\"41105408\"]\n  42 [size=\"54302720\", alpha=\"0.19\", expect_size=\"21721088\"] \n  42 -> 43 [size =\"21721088\"]\n  43 [size=\"76262400\", alpha=\"0.05\", expect_size=\"30504960\"] \n  43 -> 44 [size =\"30504960\"]\n  44 [size=\"63564800\", alpha=\"0.18\", expect_size=\"25425920\"] \n  44 -> 45 [size =\"25425920\"]\n  45 [size=\"55820800\", alpha=\"0.16\", expect_size=\"22328320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155054080\", alpha=\"0.06\", expect_size=\"46516224\"] \n  1 -> 8 [size =\"46516224\"]\n  1 -> 11 [size =\"46516224\"]\n  1 -> 12 [size =\"46516224\"]\n  1 -> 13 [size =\"46516224\"]\n  2 [size=\"60200960\", alpha=\"0.02\", expect_size=\"18060288\"] \n  2 -> 12 [size =\"18060288\"]\n  2 -> 13 [size =\"18060288\"]\n  3 [size=\"131160747\", alpha=\"0.07\", expect_size=\"39348224\"] \n  3 -> 13 [size =\"39348224\"]\n  3 -> 14 [size =\"39348224\"]\n  4 [size=\"64938667\", alpha=\"0.04\", expect_size=\"19481600\"] \n  4 -> 9 [size =\"19481600\"]\n  5 [size=\"117531307\", alpha=\"0.00\", expect_size=\"35259392\"] \n  5 -> 8 [size =\"35259392\"]\n  5 -> 9 [size =\"35259392\"]\n  5 -> 10 [size =\"35259392\"]\n  5 -> 12 [size =\"35259392\"]\n  5 -> 14 [size =\"35259392\"]\n  6 [size=\"174407680\", alpha=\"0.20\", expect_size=\"52322304\"] \n  6 -> 11 [size =\"52322304\"]\n  6 -> 12 [size =\"52322304\"]\n  6 -> 13 [size =\"52322304\"]\n  6 -> 14 [size =\"52322304\"]\n  7 [size=\"20309333\", alpha=\"0.08\", expect_size=\"6092800\"] \n  7 -> 8 [size =\"6092800\"]\n  7 -> 10 [size =\"6092800\"]\n  7 -> 11 [size =\"6092800\"]\n  8 [size=\"58968747\", alpha=\"0.06\", expect_size=\"17690624\"] \n  8 -> 15 [size =\"17690624\"]\n  8 -> 17 [size =\"17690624\"]\n  8 -> 18 [size =\"17690624\"]\n  9 [size=\"25856000\", alpha=\"0.19\", expect_size=\"7756800\"] \n  9 -> 15 [size =\"7756800\"]\n  10 [size=\"166959787\", alpha=\"0.12\", expect_size=\"50087936\"] \n  10 -> 18 [size =\"50087936\"]\n  11 [size=\"158982827\", alpha=\"0.19\", expect_size=\"47694848\"] \n  12 [size=\"45069653\", alpha=\"0.10\", expect_size=\"13520896\"] \n  12 -> 15 [size =\"13520896\"]\n  12 -> 16 [size =\"13520896\"]\n  12 -> 17 [size =\"13520896\"]\n  12 -> 18 [size =\"13520896\"]\n  13 [size=\"60603733\", alpha=\"0.15\", expect_size=\"18181120\"] \n  13 -> 16 [size =\"18181120\"]\n  13 -> 17 [size =\"18181120\"]\n  14 [size=\"113158827\", alpha=\"0.17\", expect_size=\"33947648\"] \n  14 -> 15 [size =\"33947648\"]\n  14 -> 17 [size =\"33947648\"]\n  15 [size=\"144872107\", alpha=\"0.11\", expect_size=\"43461632\"] \n  15 -> 19 [size =\"43461632\"]\n  15 -> 23 [size =\"43461632\"]\n  16 [size=\"145107627\", alpha=\"0.08\", expect_size=\"43532288\"] \n  16 -> 21 [size =\"43532288\"]\n  16 -> 22 [size =\"43532288\"]\n  16 -> 24 [size =\"43532288\"]\n  17 [size=\"143708160\", alpha=\"0.02\", expect_size=\"43112448\"] \n  17 -> 21 [size =\"43112448\"]\n  18 [size=\"48725333\", alpha=\"0.17\", expect_size=\"14617600\"] \n  18 -> 19 [size =\"14617600\"]\n  18 -> 20 [size =\"14617600\"]\n  18 -> 22 [size =\"14617600\"]\n  19 [size=\"99485013\", alpha=\"0.14\", expect_size=\"29845504\"] \n  19 -> 26 [size =\"29845504\"]\n  19 -> 28 [size =\"29845504\"]\n  19 -> 29 [size =\"29845504\"]\n  20 [size=\"93600427\", alpha=\"0.03\", expect_size=\"28080128\"] \n  20 -> 26 [size =\"28080128\"]\n  21 [size=\"33856853\", alpha=\"0.10\", expect_size=\"10157056\"] \n  21 -> 26 [size =\"10157056\"]\n  21 -> 28 [size =\"10157056\"]\n  21 -> 31 [size =\"10157056\"]\n  22 [size=\"25678507\", alpha=\"0.02\", expect_size=\"7703552\"] \n  22 -> 28 [size =\"7703552\"]\n  22 -> 30 [size =\"7703552\"]\n  23 [size=\"106700800\", alpha=\"0.08\", expect_size=\"32010240\"] \n  23 -> 25 [size =\"32010240\"]\n  23 -> 27 [size =\"32010240\"]\n  23 -> 30 [size =\"32010240\"]\n  24 [size=\"64443733\", alpha=\"0.00\", expect_size=\"19333120\"] \n  24 -> 25 [size =\"19333120\"]\n  24 -> 27 [size =\"19333120\"]\n  24 -> 31 [size =\"19333120\"]\n  25 [size=\"38959787\", alpha=\"0.06\", expect_size=\"11687936\"] \n  25 -> 37 [size =\"11687936\"]\n  26 [size=\"124641280\", alpha=\"0.11\", expect_size=\"37392384\"] \n  26 -> 36 [size =\"37392384\"]\n  27 [size=\"33976320\", alpha=\"0.16\", expect_size=\"10192896\"] \n  28 [size=\"47387307\", alpha=\"0.07\", expect_size=\"14216192\"] \n  28 -> 32 [size =\"14216192\"]\n  28 -> 33 [size =\"14216192\"]\n  28 -> 35 [size =\"14216192\"]\n  28 -> 36 [size =\"14216192\"]\n  28 -> 37 [size =\"14216192\"]\n  29 [size=\"24777387\", alpha=\"0.19\", expect_size=\"7433216\"] \n  29 -> 36 [size =\"7433216\"]\n  29 -> 37 [size =\"7433216\"]\n  30 [size=\"135499093\", alpha=\"0.10\", expect_size=\"40649728\"] \n  30 -> 33 [size =\"40649728\"]\n  30 -> 34 [size =\"40649728\"]\n  31 [size=\"159849813\", alpha=\"0.18\", expect_size=\"47954944\"] \n  31 -> 35 [size =\"47954944\"]\n  32 [size=\"78120960\", alpha=\"0.11\", expect_size=\"23436288\"] \n  32 -> 39 [size =\"23436288\"]\n  33 [size=\"90323627\", alpha=\"0.08\", expect_size=\"27097088\"] \n  33 -> 38 [size =\"27097088\"]\n  34 [size=\"152859307\", alpha=\"0.18\", expect_size=\"45857792\"] \n  34 -> 38 [size =\"45857792\"]\n  35 [size=\"155907413\", alpha=\"0.05\", expect_size=\"46772224\"] \n  35 -> 39 [size =\"46772224\"]\n  35 -> 40 [size =\"46772224\"]\n  35 -> 42 [size =\"46772224\"]\n  36 [size=\"42236587\", alpha=\"0.07\", expect_size=\"12670976\"] \n  36 -> 43 [size =\"12670976\"]\n  37 [size=\"126068053\", alpha=\"0.05\", expect_size=\"37820416\"] \n  37 -> 39 [size =\"37820416\"]\n  37 -> 41 [size =\"37820416\"]\n  37 -> 42 [size =\"37820416\"]\n  38 [size=\"95658667\", alpha=\"0.08\", expect_size=\"28697600\"] \n  38 -> 45 [size =\"28697600\"]\n  39 [size=\"149794133\", alpha=\"0.01\", expect_size=\"44938240\"] \n  39 -> 45 [size =\"44938240\"]\n  40 [size=\"139567787\", alpha=\"0.03\", expect_size=\"41870336\"] \n  40 -> 44 [size =\"41870336\"]\n  40 -> 45 [size =\"41870336\"]\n  41 [size=\"57176747\", alpha=\"0.08\", expect_size=\"17153024\"] \n  41 -> 44 [size =\"17153024\"]\n  42 [size=\"44130987\", alpha=\"0.14\", expect_size=\"13239296\"] \n  43 [size=\"128027307\", alpha=\"0.11\", expect_size=\"38408192\"] \n  44 [size=\"37420373\", alpha=\"0.14\", expect_size=\"11226112\"] \n  45 [size=\"25275733\", alpha=\"0.19\", expect_size=\"7582720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96187733\", alpha=\"0.16\", expect_size=\"28856320\"] \n  1 -> 2 [size =\"28856320\"]\n  1 -> 3 [size =\"28856320\"]\n  1 -> 4 [size =\"28856320\"]\n  2 [size=\"147111253\", alpha=\"0.05\", expect_size=\"44133376\"] \n  2 -> 7 [size =\"44133376\"]\n  3 [size=\"72331947\", alpha=\"0.19\", expect_size=\"21699584\"] \n  3 -> 6 [size =\"21699584\"]\n  4 [size=\"106424320\", alpha=\"0.18\", expect_size=\"31927296\"] \n  4 -> 5 [size =\"31927296\"]\n  4 -> 7 [size =\"31927296\"]\n  5 [size=\"20333227\", alpha=\"0.10\", expect_size=\"6099968\"] \n  5 -> 8 [size =\"6099968\"]\n  6 [size=\"128010240\", alpha=\"0.06\", expect_size=\"38403072\"] \n  6 -> 9 [size =\"38403072\"]\n  7 [size=\"135512747\", alpha=\"0.06\", expect_size=\"40653824\"] \n  7 -> 8 [size =\"40653824\"]\n  7 -> 9 [size =\"40653824\"]\n  8 [size=\"133771947\", alpha=\"0.02\", expect_size=\"40131584\"] \n  8 -> 11 [size =\"40131584\"]\n  8 -> 12 [size =\"40131584\"]\n  9 [size=\"70710613\", alpha=\"0.06\", expect_size=\"21213184\"] \n  9 -> 10 [size =\"21213184\"]\n  9 -> 11 [size =\"21213184\"]\n  10 [size=\"25105067\", alpha=\"0.00\", expect_size=\"7531520\"] \n  11 [size=\"156405760\", alpha=\"0.11\", expect_size=\"46921728\"] \n  11 -> 13 [size =\"46921728\"]\n  12 [size=\"122719573\", alpha=\"0.19\", expect_size=\"36815872\"] \n  13 [size=\"161327787\", alpha=\"0.08\", expect_size=\"48398336\"] \n  13 -> 14 [size =\"48398336\"]\n  13 -> 15 [size =\"48398336\"]\n  13 -> 16 [size =\"48398336\"]\n  13 -> 17 [size =\"48398336\"]\n  14 [size=\"152459947\", alpha=\"0.00\", expect_size=\"45737984\"] \n  15 [size=\"136451413\", alpha=\"0.15\", expect_size=\"40935424\"] \n  15 -> 18 [size =\"40935424\"]\n  16 [size=\"60105387\", alpha=\"0.15\", expect_size=\"18031616\"] \n  17 [size=\"104253440\", alpha=\"0.13\", expect_size=\"31276032\"] \n  18 [size=\"154767360\", alpha=\"0.11\", expect_size=\"46430208\"] \n  18 -> 19 [size =\"46430208\"]\n  18 -> 20 [size =\"46430208\"]\n  18 -> 21 [size =\"46430208\"]\n  18 -> 22 [size =\"46430208\"]\n  19 [size=\"173213013\", alpha=\"0.07\", expect_size=\"51963904\"] \n  19 -> 23 [size =\"51963904\"]\n  20 [size=\"66488320\", alpha=\"0.05\", expect_size=\"19946496\"] \n  20 -> 23 [size =\"19946496\"]\n  21 [size=\"69823147\", alpha=\"0.13\", expect_size=\"20946944\"] \n  22 [size=\"156279467\", alpha=\"0.18\", expect_size=\"46883840\"] \n  23 [size=\"150142293\", alpha=\"0.10\", expect_size=\"45042688\"] \n  23 -> 24 [size =\"45042688\"]\n  23 -> 25 [size =\"45042688\"]\n  23 -> 26 [size =\"45042688\"]\n  24 [size=\"58303147\", alpha=\"0.13\", expect_size=\"17490944\"] \n  24 -> 28 [size =\"17490944\"]\n  24 -> 29 [size =\"17490944\"]\n  25 [size=\"58982400\", alpha=\"0.16\", expect_size=\"17694720\"] \n  26 [size=\"17759573\", alpha=\"0.14\", expect_size=\"5327872\"] \n  26 -> 27 [size =\"5327872\"]\n  26 -> 28 [size =\"5327872\"]\n  27 [size=\"136372907\", alpha=\"0.06\", expect_size=\"40911872\"] \n  27 -> 30 [size =\"40911872\"]\n  27 -> 32 [size =\"40911872\"]\n  28 [size=\"81807360\", alpha=\"0.14\", expect_size=\"24542208\"] \n  28 -> 31 [size =\"24542208\"]\n  28 -> 33 [size =\"24542208\"]\n  29 [size=\"168820053\", alpha=\"0.08\", expect_size=\"50646016\"] \n  29 -> 30 [size =\"50646016\"]\n  29 -> 31 [size =\"50646016\"]\n  29 -> 32 [size =\"50646016\"]\n  29 -> 33 [size =\"50646016\"]\n  30 [size=\"63115947\", alpha=\"0.03\", expect_size=\"18934784\"] \n  31 [size=\"101519360\", alpha=\"0.16\", expect_size=\"30455808\"] \n  31 -> 35 [size =\"30455808\"]\n  32 [size=\"48168960\", alpha=\"0.02\", expect_size=\"14450688\"] \n  32 -> 34 [size =\"14450688\"]\n  33 [size=\"32703147\", alpha=\"0.06\", expect_size=\"9810944\"] \n  33 -> 34 [size =\"9810944\"]\n  34 [size=\"109977600\", alpha=\"0.08\", expect_size=\"32993280\"] \n  34 -> 36 [size =\"32993280\"]\n  34 -> 37 [size =\"32993280\"]\n  34 -> 38 [size =\"32993280\"]\n  35 [size=\"54370987\", alpha=\"0.04\", expect_size=\"16311296\"] \n  35 -> 37 [size =\"16311296\"]\n  35 -> 38 [size =\"16311296\"]\n  36 [size=\"26023253\", alpha=\"0.07\", expect_size=\"7806976\"] \n  36 -> 39 [size =\"7806976\"]\n  37 [size=\"135471787\", alpha=\"0.20\", expect_size=\"40641536\"] \n  38 [size=\"28897280\", alpha=\"0.10\", expect_size=\"8669184\"] \n  39 [size=\"137164800\", alpha=\"0.01\", expect_size=\"41149440\"] \n  39 -> 40 [size =\"41149440\"]\n  39 -> 41 [size =\"41149440\"]\n  39 -> 42 [size =\"41149440\"]\n  40 [size=\"41652907\", alpha=\"0.17\", expect_size=\"12495872\"] \n  40 -> 44 [size =\"12495872\"]\n  41 [size=\"64566613\", alpha=\"0.01\", expect_size=\"19369984\"] \n  41 -> 43 [size =\"19369984\"]\n  41 -> 44 [size =\"19369984\"]\n  41 -> 45 [size =\"19369984\"]\n  42 [size=\"30266027\", alpha=\"0.02\", expect_size=\"9079808\"] \n  43 [size=\"43997867\", alpha=\"0.19\", expect_size=\"13199360\"] \n  44 [size=\"92327253\", alpha=\"0.02\", expect_size=\"27698176\"] \n  45 [size=\"152954880\", alpha=\"0.11\", expect_size=\"45886464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115940693\", alpha=\"0.07\", expect_size=\"34782208\"] \n  1 -> 5 [size =\"34782208\"]\n  1 -> 6 [size =\"34782208\"]\n  1 -> 7 [size =\"34782208\"]\n  2 [size=\"17995093\", alpha=\"0.01\", expect_size=\"5398528\"] \n  2 -> 5 [size =\"5398528\"]\n  2 -> 6 [size =\"5398528\"]\n  2 -> 7 [size =\"5398528\"]\n  3 [size=\"100068693\", alpha=\"0.09\", expect_size=\"30020608\"] \n  3 -> 6 [size =\"30020608\"]\n  3 -> 7 [size =\"30020608\"]\n  4 [size=\"92470613\", alpha=\"0.07\", expect_size=\"27741184\"] \n  4 -> 6 [size =\"27741184\"]\n  5 [size=\"32522240\", alpha=\"0.05\", expect_size=\"9756672\"] \n  5 -> 9 [size =\"9756672\"]\n  5 -> 10 [size =\"9756672\"]\n  6 [size=\"143889067\", alpha=\"0.06\", expect_size=\"43166720\"] \n  6 -> 10 [size =\"43166720\"]\n  7 [size=\"106158080\", alpha=\"0.20\", expect_size=\"31847424\"] \n  7 -> 8 [size =\"31847424\"]\n  7 -> 9 [size =\"31847424\"]\n  7 -> 10 [size =\"31847424\"]\n  8 [size=\"85009067\", alpha=\"0.13\", expect_size=\"25502720\"] \n  9 [size=\"151691947\", alpha=\"0.16\", expect_size=\"45507584\"] \n  10 [size=\"66389333\", alpha=\"0.10\", expect_size=\"19916800\"] \n  10 -> 11 [size =\"19916800\"]\n  11 [size=\"59828907\", alpha=\"0.15\", expect_size=\"17948672\"] \n  11 -> 12 [size =\"17948672\"]\n  11 -> 13 [size =\"17948672\"]\n  11 -> 14 [size =\"17948672\"]\n  12 [size=\"116189867\", alpha=\"0.16\", expect_size=\"34856960\"] \n  13 [size=\"126242133\", alpha=\"0.16\", expect_size=\"37872640\"] \n  14 [size=\"37338453\", alpha=\"0.01\", expect_size=\"11201536\"] \n  14 -> 15 [size =\"11201536\"]\n  15 [size=\"96276480\", alpha=\"0.16\", expect_size=\"28882944\"] \n  15 -> 16 [size =\"28882944\"]\n  15 -> 17 [size =\"28882944\"]\n  15 -> 18 [size =\"28882944\"]\n  16 [size=\"132266667\", alpha=\"0.07\", expect_size=\"39680000\"] \n  16 -> 19 [size =\"39680000\"]\n  16 -> 20 [size =\"39680000\"]\n  16 -> 21 [size =\"39680000\"]\n  16 -> 22 [size =\"39680000\"]\n  17 [size=\"25941333\", alpha=\"0.00\", expect_size=\"7782400\"] \n  17 -> 20 [size =\"7782400\"]\n  17 -> 22 [size =\"7782400\"]\n  18 [size=\"24244907\", alpha=\"0.09\", expect_size=\"7273472\"] \n  18 -> 20 [size =\"7273472\"]\n  18 -> 21 [size =\"7273472\"]\n  18 -> 22 [size =\"7273472\"]\n  19 [size=\"126747307\", alpha=\"0.16\", expect_size=\"38024192\"] \n  19 -> 24 [size =\"38024192\"]\n  19 -> 25 [size =\"38024192\"]\n  20 [size=\"96764587\", alpha=\"0.07\", expect_size=\"29029376\"] \n  20 -> 23 [size =\"29029376\"]\n  20 -> 25 [size =\"29029376\"]\n  21 [size=\"21647360\", alpha=\"0.11\", expect_size=\"6494208\"] \n  21 -> 25 [size =\"6494208\"]\n  22 [size=\"140721493\", alpha=\"0.15\", expect_size=\"42216448\"] \n  22 -> 24 [size =\"42216448\"]\n  22 -> 25 [size =\"42216448\"]\n  23 [size=\"107738453\", alpha=\"0.10\", expect_size=\"32321536\"] \n  23 -> 26 [size =\"32321536\"]\n  23 -> 27 [size =\"32321536\"]\n  24 [size=\"73789440\", alpha=\"0.13\", expect_size=\"22136832\"] \n  24 -> 26 [size =\"22136832\"]\n  24 -> 28 [size =\"22136832\"]\n  25 [size=\"79773013\", alpha=\"0.19\", expect_size=\"23931904\"] \n  25 -> 28 [size =\"23931904\"]\n  26 [size=\"50623147\", alpha=\"0.01\", expect_size=\"15186944\"] \n  26 -> 30 [size =\"15186944\"]\n  27 [size=\"103109973\", alpha=\"0.15\", expect_size=\"30932992\"] \n  27 -> 30 [size =\"30932992\"]\n  28 [size=\"104792747\", alpha=\"0.16\", expect_size=\"31437824\"] \n  28 -> 29 [size =\"31437824\"]\n  28 -> 30 [size =\"31437824\"]\n  29 [size=\"19889493\", alpha=\"0.15\", expect_size=\"5966848\"] \n  29 -> 31 [size =\"5966848\"]\n  29 -> 32 [size =\"5966848\"]\n  29 -> 33 [size =\"5966848\"]\n  29 -> 34 [size =\"5966848\"]\n  30 [size=\"145735680\", alpha=\"0.00\", expect_size=\"43720704\"] \n  30 -> 31 [size =\"43720704\"]\n  30 -> 32 [size =\"43720704\"]\n  30 -> 33 [size =\"43720704\"]\n  30 -> 34 [size =\"43720704\"]\n  31 [size=\"46124373\", alpha=\"0.11\", expect_size=\"13837312\"] \n  32 [size=\"134103040\", alpha=\"0.14\", expect_size=\"40230912\"] \n  32 -> 35 [size =\"40230912\"]\n  33 [size=\"95614293\", alpha=\"0.11\", expect_size=\"28684288\"] \n  33 -> 35 [size =\"28684288\"]\n  34 [size=\"170540373\", alpha=\"0.10\", expect_size=\"51162112\"] \n  34 -> 35 [size =\"51162112\"]\n  35 [size=\"119306240\", alpha=\"0.19\", expect_size=\"35791872\"] \n  35 -> 36 [size =\"35791872\"]\n  35 -> 37 [size =\"35791872\"]\n  36 [size=\"114247680\", alpha=\"0.03\", expect_size=\"34274304\"] \n  36 -> 38 [size =\"34274304\"]\n  37 [size=\"124487680\", alpha=\"0.09\", expect_size=\"37346304\"] \n  37 -> 38 [size =\"37346304\"]\n  37 -> 39 [size =\"37346304\"]\n  38 [size=\"81425067\", alpha=\"0.15\", expect_size=\"24427520\"] \n  38 -> 40 [size =\"24427520\"]\n  38 -> 41 [size =\"24427520\"]\n  38 -> 42 [size =\"24427520\"]\n  39 [size=\"52592640\", alpha=\"0.14\", expect_size=\"15777792\"] \n  39 -> 40 [size =\"15777792\"]\n  39 -> 41 [size =\"15777792\"]\n  40 [size=\"172209493\", alpha=\"0.04\", expect_size=\"51662848\"] \n  40 -> 44 [size =\"51662848\"]\n  41 [size=\"174612480\", alpha=\"0.15\", expect_size=\"52383744\"] \n  41 -> 43 [size =\"52383744\"]\n  41 -> 44 [size =\"52383744\"]\n  41 -> 45 [size =\"52383744\"]\n  42 [size=\"102161067\", alpha=\"0.01\", expect_size=\"30648320\"] \n  42 -> 44 [size =\"30648320\"]\n  42 -> 45 [size =\"30648320\"]\n  42 -> 45 [size =\"30648320\"]\n  43 [size=\"53568853\", alpha=\"0.18\", expect_size=\"16070656\"] \n  44 [size=\"137608533\", alpha=\"0.03\", expect_size=\"41282560\"] \n  45 [size=\"59569493\", alpha=\"0.16\", expect_size=\"17870848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63584256\", alpha=\"0.09\", expect_size=\"31792128\"] \n  1 -> 15 [size =\"31792128\"]\n  1 -> 18 [size =\"31792128\"]\n  1 -> 27 [size =\"31792128\"]\n  2 [size=\"97196032\", alpha=\"0.05\", expect_size=\"48598016\"] \n  2 -> 15 [size =\"48598016\"]\n  2 -> 18 [size =\"48598016\"]\n  3 [size=\"40341504\", alpha=\"0.11\", expect_size=\"20170752\"] \n  3 -> 20 [size =\"20170752\"]\n  3 -> 23 [size =\"20170752\"]\n  3 -> 24 [size =\"20170752\"]\n  3 -> 26 [size =\"20170752\"]\n  3 -> 28 [size =\"20170752\"]\n  4 [size=\"90660864\", alpha=\"0.00\", expect_size=\"45330432\"] \n  4 -> 17 [size =\"45330432\"]\n  4 -> 21 [size =\"45330432\"]\n  4 -> 24 [size =\"45330432\"]\n  4 -> 28 [size =\"45330432\"]\n  5 [size=\"79618048\", alpha=\"0.11\", expect_size=\"39809024\"] \n  5 -> 21 [size =\"39809024\"]\n  5 -> 21 [size =\"39809024\"]\n  5 -> 27 [size =\"39809024\"]\n  5 -> 28 [size =\"39809024\"]\n  6 [size=\"57622528\", alpha=\"0.14\", expect_size=\"28811264\"] \n  6 -> 20 [size =\"28811264\"]\n  6 -> 21 [size =\"28811264\"]\n  6 -> 22 [size =\"28811264\"]\n  6 -> 24 [size =\"28811264\"]\n  6 -> 26 [size =\"28811264\"]\n  6 -> 27 [size =\"28811264\"]\n  6 -> 28 [size =\"28811264\"]\n  7 [size=\"57880576\", alpha=\"0.10\", expect_size=\"28940288\"] \n  7 -> 16 [size =\"28940288\"]\n  7 -> 19 [size =\"28940288\"]\n  7 -> 21 [size =\"28940288\"]\n  7 -> 24 [size =\"28940288\"]\n  7 -> 27 [size =\"28940288\"]\n  7 -> 28 [size =\"28940288\"]\n  8 [size=\"92766208\", alpha=\"0.03\", expect_size=\"46383104\"] \n  8 -> 16 [size =\"46383104\"]\n  8 -> 18 [size =\"46383104\"]\n  8 -> 23 [size =\"46383104\"]\n  8 -> 24 [size =\"46383104\"]\n  8 -> 26 [size =\"46383104\"]\n  8 -> 27 [size =\"46383104\"]\n  8 -> 28 [size =\"46383104\"]\n  9 [size=\"42598400\", alpha=\"0.07\", expect_size=\"21299200\"] \n  9 -> 18 [size =\"21299200\"]\n  9 -> 18 [size =\"21299200\"]\n  9 -> 21 [size =\"21299200\"]\n  9 -> 23 [size =\"21299200\"]\n  9 -> 24 [size =\"21299200\"]\n  9 -> 25 [size =\"21299200\"]\n  9 -> 28 [size =\"21299200\"]\n  10 [size=\"15722496\", alpha=\"0.09\", expect_size=\"7861248\"] \n  10 -> 19 [size =\"7861248\"]\n  10 -> 22 [size =\"7861248\"]\n  10 -> 27 [size =\"7861248\"]\n  11 [size=\"85239808\", alpha=\"0.13\", expect_size=\"42619904\"] \n  11 -> 16 [size =\"42619904\"]\n  11 -> 17 [size =\"42619904\"]\n  11 -> 18 [size =\"42619904\"]\n  11 -> 19 [size =\"42619904\"]\n  11 -> 23 [size =\"42619904\"]\n  11 -> 24 [size =\"42619904\"]\n  11 -> 27 [size =\"42619904\"]\n  12 [size=\"34125824\", alpha=\"0.11\", expect_size=\"17062912\"] \n  12 -> 15 [size =\"17062912\"]\n  12 -> 17 [size =\"17062912\"]\n  12 -> 19 [size =\"17062912\"]\n  12 -> 21 [size =\"17062912\"]\n  12 -> 23 [size =\"17062912\"]\n  12 -> 24 [size =\"17062912\"]\n  12 -> 25 [size =\"17062912\"]\n  12 -> 27 [size =\"17062912\"]\n  12 -> 28 [size =\"17062912\"]\n  13 [size=\"57366528\", alpha=\"0.12\", expect_size=\"28683264\"] \n  13 -> 16 [size =\"28683264\"]\n  13 -> 22 [size =\"28683264\"]\n  13 -> 24 [size =\"28683264\"]\n  13 -> 25 [size =\"28683264\"]\n  14 [size=\"16605184\", alpha=\"0.16\", expect_size=\"8302592\"] \n  14 -> 16 [size =\"8302592\"]\n  14 -> 19 [size =\"8302592\"]\n  14 -> 20 [size =\"8302592\"]\n  14 -> 24 [size =\"8302592\"]\n  14 -> 26 [size =\"8302592\"]\n  14 -> 28 [size =\"8302592\"]\n  15 [size=\"17364992\", alpha=\"0.18\", expect_size=\"8682496\"] \n  15 -> 30 [size =\"8682496\"]\n  15 -> 33 [size =\"8682496\"]\n  15 -> 35 [size =\"8682496\"]\n  15 -> 36 [size =\"8682496\"]\n  15 -> 37 [size =\"8682496\"]\n  15 -> 39 [size =\"8682496\"]\n  16 [size=\"70750208\", alpha=\"0.18\", expect_size=\"35375104\"] \n  16 -> 29 [size =\"35375104\"]\n  16 -> 33 [size =\"35375104\"]\n  16 -> 35 [size =\"35375104\"]\n  16 -> 36 [size =\"35375104\"]\n  17 [size=\"44331008\", alpha=\"0.05\", expect_size=\"22165504\"] \n  17 -> 32 [size =\"22165504\"]\n  17 -> 33 [size =\"22165504\"]\n  17 -> 34 [size =\"22165504\"]\n  17 -> 35 [size =\"22165504\"]\n  17 -> 39 [size =\"22165504\"]\n  17 -> 40 [size =\"22165504\"]\n  18 [size=\"93202432\", alpha=\"0.06\", expect_size=\"46601216\"] \n  18 -> 31 [size =\"46601216\"]\n  18 -> 32 [size =\"46601216\"]\n  18 -> 33 [size =\"46601216\"]\n  18 -> 34 [size =\"46601216\"]\n  18 -> 37 [size =\"46601216\"]\n  18 -> 39 [size =\"46601216\"]\n  18 -> 40 [size =\"46601216\"]\n  19 [size=\"10995712\", alpha=\"0.12\", expect_size=\"5497856\"] \n  19 -> 31 [size =\"5497856\"]\n  19 -> 32 [size =\"5497856\"]\n  19 -> 33 [size =\"5497856\"]\n  19 -> 36 [size =\"5497856\"]\n  20 [size=\"42997760\", alpha=\"0.15\", expect_size=\"21498880\"] \n  20 -> 32 [size =\"21498880\"]\n  20 -> 32 [size =\"21498880\"]\n  20 -> 33 [size =\"21498880\"]\n  20 -> 35 [size =\"21498880\"]\n  20 -> 37 [size =\"21498880\"]\n  20 -> 40 [size =\"21498880\"]\n  21 [size=\"83283968\", alpha=\"0.10\", expect_size=\"41641984\"] \n  21 -> 31 [size =\"41641984\"]\n  21 -> 32 [size =\"41641984\"]\n  21 -> 33 [size =\"41641984\"]\n  21 -> 36 [size =\"41641984\"]\n  21 -> 37 [size =\"41641984\"]\n  21 -> 39 [size =\"41641984\"]\n  22 [size=\"48498688\", alpha=\"0.03\", expect_size=\"24249344\"] \n  22 -> 31 [size =\"24249344\"]\n  22 -> 32 [size =\"24249344\"]\n  22 -> 33 [size =\"24249344\"]\n  22 -> 37 [size =\"24249344\"]\n  22 -> 39 [size =\"24249344\"]\n  22 -> 39 [size =\"24249344\"]\n  23 [size=\"98535424\", alpha=\"0.02\", expect_size=\"49267712\"] \n  23 -> 30 [size =\"49267712\"]\n  23 -> 31 [size =\"49267712\"]\n  23 -> 32 [size =\"49267712\"]\n  23 -> 35 [size =\"49267712\"]\n  23 -> 36 [size =\"49267712\"]\n  23 -> 37 [size =\"49267712\"]\n  23 -> 39 [size =\"49267712\"]\n  24 [size=\"61468672\", alpha=\"0.19\", expect_size=\"30734336\"] \n  24 -> 31 [size =\"30734336\"]\n  24 -> 31 [size =\"30734336\"]\n  24 -> 32 [size =\"30734336\"]\n  24 -> 33 [size =\"30734336\"]\n  24 -> 34 [size =\"30734336\"]\n  24 -> 35 [size =\"30734336\"]\n  24 -> 38 [size =\"30734336\"]\n  24 -> 39 [size =\"30734336\"]\n  25 [size=\"40982528\", alpha=\"0.10\", expect_size=\"20491264\"] \n  25 -> 32 [size =\"20491264\"]\n  25 -> 35 [size =\"20491264\"]\n  25 -> 39 [size =\"20491264\"]\n  26 [size=\"31514624\", alpha=\"0.11\", expect_size=\"15757312\"] \n  26 -> 32 [size =\"15757312\"]\n  26 -> 34 [size =\"15757312\"]\n  26 -> 39 [size =\"15757312\"]\n  27 [size=\"21104640\", alpha=\"0.02\", expect_size=\"10552320\"] \n  27 -> 30 [size =\"10552320\"]\n  27 -> 32 [size =\"10552320\"]\n  27 -> 34 [size =\"10552320\"]\n  27 -> 35 [size =\"10552320\"]\n  27 -> 36 [size =\"10552320\"]\n  27 -> 37 [size =\"10552320\"]\n  28 [size=\"43106304\", alpha=\"0.10\", expect_size=\"21553152\"] \n  28 -> 30 [size =\"21553152\"]\n  28 -> 31 [size =\"21553152\"]\n  28 -> 32 [size =\"21553152\"]\n  28 -> 33 [size =\"21553152\"]\n  28 -> 35 [size =\"21553152\"]\n  28 -> 37 [size =\"21553152\"]\n  28 -> 39 [size =\"21553152\"]\n  29 [size=\"70250496\", alpha=\"0.05\", expect_size=\"35125248\"] \n  29 -> 41 [size =\"35125248\"]\n  30 [size=\"32997376\", alpha=\"0.02\", expect_size=\"16498688\"] \n  30 -> 41 [size =\"16498688\"]\n  31 [size=\"11665408\", alpha=\"0.14\", expect_size=\"5832704\"] \n  32 [size=\"59355136\", alpha=\"0.11\", expect_size=\"29677568\"] \n  32 -> 41 [size =\"29677568\"]\n  32 -> 42 [size =\"29677568\"]\n  32 -> 44 [size =\"29677568\"]\n  33 [size=\"74033152\", alpha=\"0.18\", expect_size=\"37016576\"] \n  33 -> 41 [size =\"37016576\"]\n  33 -> 42 [size =\"37016576\"]\n  33 -> 43 [size =\"37016576\"]\n  33 -> 44 [size =\"37016576\"]\n  34 [size=\"85555200\", alpha=\"0.07\", expect_size=\"42777600\"] \n  34 -> 41 [size =\"42777600\"]\n  34 -> 43 [size =\"42777600\"]\n  34 -> 43 [size =\"42777600\"]\n  34 -> 44 [size =\"42777600\"]\n  35 [size=\"79728640\", alpha=\"0.17\", expect_size=\"39864320\"] \n  35 -> 41 [size =\"39864320\"]\n  35 -> 43 [size =\"39864320\"]\n  35 -> 44 [size =\"39864320\"]\n  35 -> 44 [size =\"39864320\"]\n  36 [size=\"31315968\", alpha=\"0.19\", expect_size=\"15657984\"] \n  36 -> 41 [size =\"15657984\"]\n  36 -> 43 [size =\"15657984\"]\n  36 -> 44 [size =\"15657984\"]\n  36 -> 45 [size =\"15657984\"]\n  37 [size=\"81823744\", alpha=\"0.09\", expect_size=\"40911872\"] \n  37 -> 41 [size =\"40911872\"]\n  37 -> 43 [size =\"40911872\"]\n  37 -> 44 [size =\"40911872\"]\n  37 -> 45 [size =\"40911872\"]\n  38 [size=\"89905152\", alpha=\"0.17\", expect_size=\"44952576\"] \n  38 -> 41 [size =\"44952576\"]\n  38 -> 43 [size =\"44952576\"]\n  38 -> 45 [size =\"44952576\"]\n  39 [size=\"43470848\", alpha=\"0.04\", expect_size=\"21735424\"] \n  39 -> 41 [size =\"21735424\"]\n  39 -> 43 [size =\"21735424\"]\n  40 [size=\"69007360\", alpha=\"0.18\", expect_size=\"34503680\"] \n  40 -> 41 [size =\"34503680\"]\n  40 -> 43 [size =\"34503680\"]\n  41 [size=\"77379584\", alpha=\"0.08\", expect_size=\"38689792\"] \n  42 [size=\"48971776\", alpha=\"0.06\", expect_size=\"24485888\"] \n  43 [size=\"101795840\", alpha=\"0.03\", expect_size=\"50897920\"] \n  44 [size=\"93990912\", alpha=\"0.10\", expect_size=\"46995456\"] \n  45 [size=\"31678464\", alpha=\"0.04\", expect_size=\"15839232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129937920\", alpha=\"0.11\", expect_size=\"51975168\"] \n  1 -> 4 [size =\"51975168\"]\n  2 [size=\"41797120\", alpha=\"0.09\", expect_size=\"16718848\"] \n  3 [size=\"104760320\", alpha=\"0.07\", expect_size=\"41904128\"] \n  3 -> 5 [size =\"41904128\"]\n  4 [size=\"63930880\", alpha=\"0.12\", expect_size=\"25572352\"] \n  4 -> 7 [size =\"25572352\"]\n  4 -> 8 [size =\"25572352\"]\n  5 [size=\"48921600\", alpha=\"0.10\", expect_size=\"19568640\"] \n  5 -> 6 [size =\"19568640\"]\n  6 [size=\"127493120\", alpha=\"0.11\", expect_size=\"50997248\"] \n  6 -> 10 [size =\"50997248\"]\n  6 -> 11 [size =\"50997248\"]\n  7 [size=\"84449280\", alpha=\"0.16\", expect_size=\"33779712\"] \n  7 -> 11 [size =\"33779712\"]\n  8 [size=\"56975360\", alpha=\"0.17\", expect_size=\"22790144\"] \n  8 -> 9 [size =\"22790144\"]\n  9 [size=\"114941440\", alpha=\"0.20\", expect_size=\"45976576\"] \n  9 -> 12 [size =\"45976576\"]\n  9 -> 13 [size =\"45976576\"]\n  10 [size=\"30525440\", alpha=\"0.14\", expect_size=\"12210176\"] \n  10 -> 12 [size =\"12210176\"]\n  11 [size=\"118707200\", alpha=\"0.03\", expect_size=\"47482880\"] \n  12 [size=\"68282880\", alpha=\"0.15\", expect_size=\"27313152\"] \n  13 [size=\"118763520\", alpha=\"0.02\", expect_size=\"47505408\"] \n  13 -> 14 [size =\"47505408\"]\n  13 -> 15 [size =\"47505408\"]\n  14 [size=\"40985600\", alpha=\"0.16\", expect_size=\"16394240\"] \n  14 -> 18 [size =\"16394240\"]\n  15 [size=\"109560320\", alpha=\"0.18\", expect_size=\"43824128\"] \n  15 -> 16 [size =\"43824128\"]\n  15 -> 17 [size =\"43824128\"]\n  16 [size=\"49792000\", alpha=\"0.03\", expect_size=\"19916800\"] \n  16 -> 19 [size =\"19916800\"]\n  17 [size=\"112629760\", alpha=\"0.12\", expect_size=\"45051904\"] \n  17 -> 19 [size =\"45051904\"]\n  18 [size=\"86213120\", alpha=\"0.18\", expect_size=\"34485248\"] \n  18 -> 20 [size =\"34485248\"]\n  19 [size=\"67120640\", alpha=\"0.19\", expect_size=\"26848256\"] \n  19 -> 22 [size =\"26848256\"]\n  20 [size=\"64716800\", alpha=\"0.05\", expect_size=\"25886720\"] \n  20 -> 21 [size =\"25886720\"]\n  21 [size=\"29432320\", alpha=\"0.12\", expect_size=\"11772928\"] \n  21 -> 25 [size =\"11772928\"]\n  22 [size=\"46822400\", alpha=\"0.04\", expect_size=\"18728960\"] \n  22 -> 23 [size =\"18728960\"]\n  22 -> 24 [size =\"18728960\"]\n  23 [size=\"16606720\", alpha=\"0.11\", expect_size=\"6642688\"] \n  23 -> 26 [size =\"6642688\"]\n  23 -> 27 [size =\"6642688\"]\n  23 -> 28 [size =\"6642688\"]\n  24 [size=\"26969600\", alpha=\"0.06\", expect_size=\"10787840\"] \n  25 [size=\"124285440\", alpha=\"0.08\", expect_size=\"49714176\"] \n  25 -> 26 [size =\"49714176\"]\n  26 [size=\"112271360\", alpha=\"0.09\", expect_size=\"44908544\"] \n  26 -> 30 [size =\"44908544\"]\n  27 [size=\"129492480\", alpha=\"0.03\", expect_size=\"51796992\"] \n  27 -> 29 [size =\"51796992\"]\n  28 [size=\"81379840\", alpha=\"0.03\", expect_size=\"32551936\"] \n  28 -> 29 [size =\"32551936\"]\n  28 -> 30 [size =\"32551936\"]\n  29 [size=\"72266240\", alpha=\"0.01\", expect_size=\"28906496\"] \n  30 [size=\"63667200\", alpha=\"0.02\", expect_size=\"25466880\"] \n  30 -> 31 [size =\"25466880\"]\n  30 -> 32 [size =\"25466880\"]\n  31 [size=\"95526400\", alpha=\"0.01\", expect_size=\"38210560\"] \n  31 -> 33 [size =\"38210560\"]\n  31 -> 34 [size =\"38210560\"]\n  31 -> 35 [size =\"38210560\"]\n  32 [size=\"48742400\", alpha=\"0.09\", expect_size=\"19496960\"] \n  33 [size=\"69975040\", alpha=\"0.15\", expect_size=\"27990016\"] \n  33 -> 37 [size =\"27990016\"]\n  34 [size=\"14947840\", alpha=\"0.06\", expect_size=\"5979136\"] \n  34 -> 36 [size =\"5979136\"]\n  35 [size=\"52446720\", alpha=\"0.13\", expect_size=\"20978688\"] \n  36 [size=\"100326400\", alpha=\"0.06\", expect_size=\"40130560\"] \n  36 -> 39 [size =\"40130560\"]\n  37 [size=\"37040640\", alpha=\"0.17\", expect_size=\"14816256\"] \n  37 -> 38 [size =\"14816256\"]\n  38 [size=\"51898880\", alpha=\"0.19\", expect_size=\"20759552\"] \n  38 -> 41 [size =\"20759552\"]\n  39 [size=\"70807040\", alpha=\"0.11\", expect_size=\"28322816\"] \n  39 -> 40 [size =\"28322816\"]\n  40 [size=\"77634560\", alpha=\"0.12\", expect_size=\"31053824\"] \n  40 -> 42 [size =\"31053824\"]\n  40 -> 43 [size =\"31053824\"]\n  40 -> 44 [size =\"31053824\"]\n  41 [size=\"89802240\", alpha=\"0.15\", expect_size=\"35920896\"] \n  42 [size=\"94947840\", alpha=\"0.04\", expect_size=\"37979136\"] \n  43 [size=\"30279680\", alpha=\"0.14\", expect_size=\"12111872\"] \n  43 -> 45 [size =\"12111872\"]\n  44 [size=\"119421440\", alpha=\"0.06\", expect_size=\"47768576\"] \n  44 -> 45 [size =\"47768576\"]\n  45 [size=\"36362240\", alpha=\"0.17\", expect_size=\"14544896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62908416\", alpha=\"0.17\", expect_size=\"31454208\"] \n  1 -> 4 [size =\"31454208\"]\n  1 -> 5 [size =\"31454208\"]\n  1 -> 6 [size =\"31454208\"]\n  2 [size=\"65716224\", alpha=\"0.06\", expect_size=\"32858112\"] \n  2 -> 5 [size =\"32858112\"]\n  2 -> 6 [size =\"32858112\"]\n  3 [size=\"45438976\", alpha=\"0.11\", expect_size=\"22719488\"] \n  4 [size=\"26804224\", alpha=\"0.15\", expect_size=\"13402112\"] \n  4 -> 8 [size =\"13402112\"]\n  5 [size=\"90816512\", alpha=\"0.08\", expect_size=\"45408256\"] \n  5 -> 9 [size =\"45408256\"]\n  6 [size=\"19433472\", alpha=\"0.13\", expect_size=\"9716736\"] \n  6 -> 7 [size =\"9716736\"]\n  7 [size=\"65579008\", alpha=\"0.04\", expect_size=\"32789504\"] \n  8 [size=\"53233664\", alpha=\"0.06\", expect_size=\"26616832\"] \n  8 -> 10 [size =\"26616832\"]\n  9 [size=\"16254976\", alpha=\"0.06\", expect_size=\"8127488\"] \n  9 -> 10 [size =\"8127488\"]\n  9 -> 11 [size =\"8127488\"]\n  10 [size=\"16984064\", alpha=\"0.00\", expect_size=\"8492032\"] \n  10 -> 12 [size =\"8492032\"]\n  10 -> 13 [size =\"8492032\"]\n  11 [size=\"55457792\", alpha=\"0.07\", expect_size=\"27728896\"] \n  11 -> 12 [size =\"27728896\"]\n  12 [size=\"40376320\", alpha=\"0.19\", expect_size=\"20188160\"] \n  13 [size=\"66344960\", alpha=\"0.05\", expect_size=\"33172480\"] \n  13 -> 14 [size =\"33172480\"]\n  13 -> 15 [size =\"33172480\"]\n  14 [size=\"22652928\", alpha=\"0.09\", expect_size=\"11326464\"] \n  14 -> 17 [size =\"11326464\"]\n  15 [size=\"94715904\", alpha=\"0.06\", expect_size=\"47357952\"] \n  15 -> 16 [size =\"47357952\"]\n  15 -> 17 [size =\"47357952\"]\n  16 [size=\"40030208\", alpha=\"0.12\", expect_size=\"20015104\"] \n  16 -> 18 [size =\"20015104\"]\n  17 [size=\"101292032\", alpha=\"0.03\", expect_size=\"50646016\"] \n  17 -> 18 [size =\"50646016\"]\n  17 -> 19 [size =\"50646016\"]\n  18 [size=\"24786944\", alpha=\"0.16\", expect_size=\"12393472\"] \n  18 -> 20 [size =\"12393472\"]\n  18 -> 21 [size =\"12393472\"]\n  18 -> 22 [size =\"12393472\"]\n  19 [size=\"54861824\", alpha=\"0.11\", expect_size=\"27430912\"] \n  19 -> 21 [size =\"27430912\"]\n  19 -> 22 [size =\"27430912\"]\n  20 [size=\"82264064\", alpha=\"0.12\", expect_size=\"41132032\"] \n  20 -> 23 [size =\"41132032\"]\n  20 -> 24 [size =\"41132032\"]\n  20 -> 25 [size =\"41132032\"]\n  21 [size=\"84219904\", alpha=\"0.05\", expect_size=\"42109952\"] \n  21 -> 23 [size =\"42109952\"]\n  21 -> 24 [size =\"42109952\"]\n  22 [size=\"20805632\", alpha=\"0.09\", expect_size=\"10402816\"] \n  23 [size=\"16965632\", alpha=\"0.00\", expect_size=\"8482816\"] \n  24 [size=\"42405888\", alpha=\"0.15\", expect_size=\"21202944\"] \n  24 -> 26 [size =\"21202944\"]\n  24 -> 27 [size =\"21202944\"]\n  25 [size=\"84584448\", alpha=\"0.07\", expect_size=\"42292224\"] \n  25 -> 26 [size =\"42292224\"]\n  26 [size=\"18980864\", alpha=\"0.01\", expect_size=\"9490432\"] \n  26 -> 28 [size =\"9490432\"]\n  26 -> 29 [size =\"9490432\"]\n  27 [size=\"73644032\", alpha=\"0.06\", expect_size=\"36822016\"] \n  27 -> 29 [size =\"36822016\"]\n  28 [size=\"87982080\", alpha=\"0.01\", expect_size=\"43991040\"] \n  28 -> 31 [size =\"43991040\"]\n  28 -> 32 [size =\"43991040\"]\n  29 [size=\"67457024\", alpha=\"0.17\", expect_size=\"33728512\"] \n  29 -> 30 [size =\"33728512\"]\n  30 [size=\"26228736\", alpha=\"0.14\", expect_size=\"13114368\"] \n  30 -> 33 [size =\"13114368\"]\n  30 -> 34 [size =\"13114368\"]\n  31 [size=\"85143552\", alpha=\"0.01\", expect_size=\"42571776\"] \n  32 [size=\"13506560\", alpha=\"0.14\", expect_size=\"6753280\"] \n  32 -> 33 [size =\"6753280\"]\n  32 -> 34 [size =\"6753280\"]\n  33 [size=\"55296000\", alpha=\"0.19\", expect_size=\"27648000\"] \n  33 -> 35 [size =\"27648000\"]\n  33 -> 36 [size =\"27648000\"]\n  33 -> 37 [size =\"27648000\"]\n  34 [size=\"56723456\", alpha=\"0.06\", expect_size=\"28361728\"] \n  34 -> 35 [size =\"28361728\"]\n  34 -> 37 [size =\"28361728\"]\n  35 [size=\"34105344\", alpha=\"0.11\", expect_size=\"17052672\"] \n  35 -> 38 [size =\"17052672\"]\n  35 -> 39 [size =\"17052672\"]\n  36 [size=\"67774464\", alpha=\"0.03\", expect_size=\"33887232\"] \n  37 [size=\"72306688\", alpha=\"0.14\", expect_size=\"36153344\"] \n  38 [size=\"102797312\", alpha=\"0.07\", expect_size=\"51398656\"] \n  38 -> 40 [size =\"51398656\"]\n  39 [size=\"13250560\", alpha=\"0.11\", expect_size=\"6625280\"] \n  39 -> 41 [size =\"6625280\"]\n  40 [size=\"92551168\", alpha=\"0.09\", expect_size=\"46275584\"] \n  40 -> 44 [size =\"46275584\"]\n  41 [size=\"64086016\", alpha=\"0.03\", expect_size=\"32043008\"] \n  41 -> 42 [size =\"32043008\"]\n  41 -> 43 [size =\"32043008\"]\n  41 -> 44 [size =\"32043008\"]\n  42 [size=\"67196928\", alpha=\"0.20\", expect_size=\"33598464\"] \n  42 -> 45 [size =\"33598464\"]\n  43 [size=\"37406720\", alpha=\"0.17\", expect_size=\"18703360\"] \n  43 -> 45 [size =\"18703360\"]\n  44 [size=\"30576640\", alpha=\"0.02\", expect_size=\"15288320\"] \n  45 [size=\"58873856\", alpha=\"0.02\", expect_size=\"29436928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58484053\", alpha=\"0.16\", expect_size=\"17545216\"] \n  1 -> 38 [size =\"17545216\"]\n  1 -> 41 [size =\"17545216\"]\n  2 [size=\"122624000\", alpha=\"0.08\", expect_size=\"36787200\"] \n  2 -> 38 [size =\"36787200\"]\n  2 -> 39 [size =\"36787200\"]\n  2 -> 41 [size =\"36787200\"]\n  2 -> 43 [size =\"36787200\"]\n  2 -> 45 [size =\"36787200\"]\n  3 [size=\"40942933\", alpha=\"0.11\", expect_size=\"12282880\"] \n  3 -> 38 [size =\"12282880\"]\n  3 -> 43 [size =\"12282880\"]\n  4 [size=\"167028053\", alpha=\"0.05\", expect_size=\"50108416\"] \n  4 -> 38 [size =\"50108416\"]\n  4 -> 39 [size =\"50108416\"]\n  4 -> 40 [size =\"50108416\"]\n  5 [size=\"88593067\", alpha=\"0.13\", expect_size=\"26577920\"] \n  5 -> 39 [size =\"26577920\"]\n  5 -> 41 [size =\"26577920\"]\n  5 -> 42 [size =\"26577920\"]\n  6 [size=\"57681920\", alpha=\"0.07\", expect_size=\"17304576\"] \n  6 -> 41 [size =\"17304576\"]\n  6 -> 42 [size =\"17304576\"]\n  6 -> 45 [size =\"17304576\"]\n  7 [size=\"87944533\", alpha=\"0.10\", expect_size=\"26383360\"] \n  7 -> 40 [size =\"26383360\"]\n  7 -> 42 [size =\"26383360\"]\n  7 -> 45 [size =\"26383360\"]\n  8 [size=\"75444907\", alpha=\"0.06\", expect_size=\"22633472\"] \n  8 -> 38 [size =\"22633472\"]\n  8 -> 40 [size =\"22633472\"]\n  8 -> 43 [size =\"22633472\"]\n  8 -> 45 [size =\"22633472\"]\n  9 [size=\"131293867\", alpha=\"0.07\", expect_size=\"39388160\"] \n  9 -> 38 [size =\"39388160\"]\n  9 -> 45 [size =\"39388160\"]\n  10 [size=\"64242347\", alpha=\"0.05\", expect_size=\"19272704\"] \n  10 -> 38 [size =\"19272704\"]\n  10 -> 39 [size =\"19272704\"]\n  10 -> 40 [size =\"19272704\"]\n  10 -> 42 [size =\"19272704\"]\n  10 -> 44 [size =\"19272704\"]\n  10 -> 45 [size =\"19272704\"]\n  11 [size=\"143619413\", alpha=\"0.02\", expect_size=\"43085824\"] \n  11 -> 39 [size =\"43085824\"]\n  12 [size=\"109335893\", alpha=\"0.16\", expect_size=\"32800768\"] \n  12 -> 38 [size =\"32800768\"]\n  12 -> 39 [size =\"32800768\"]\n  13 [size=\"169908907\", alpha=\"0.17\", expect_size=\"50972672\"] \n  13 -> 44 [size =\"50972672\"]\n  14 [size=\"102714027\", alpha=\"0.15\", expect_size=\"30814208\"] \n  14 -> 39 [size =\"30814208\"]\n  14 -> 41 [size =\"30814208\"]\n  14 -> 42 [size =\"30814208\"]\n  14 -> 43 [size =\"30814208\"]\n  15 [size=\"141803520\", alpha=\"0.14\", expect_size=\"42541056\"] \n  15 -> 39 [size =\"42541056\"]\n  15 -> 41 [size =\"42541056\"]\n  15 -> 43 [size =\"42541056\"]\n  15 -> 45 [size =\"42541056\"]\n  16 [size=\"84790613\", alpha=\"0.09\", expect_size=\"25437184\"] \n  16 -> 39 [size =\"25437184\"]\n  16 -> 42 [size =\"25437184\"]\n  16 -> 43 [size =\"25437184\"]\n  16 -> 45 [size =\"25437184\"]\n  17 [size=\"143226880\", alpha=\"0.08\", expect_size=\"42968064\"] \n  17 -> 39 [size =\"42968064\"]\n  17 -> 42 [size =\"42968064\"]\n  17 -> 43 [size =\"42968064\"]\n  17 -> 45 [size =\"42968064\"]\n  18 [size=\"61675520\", alpha=\"0.13\", expect_size=\"18502656\"] \n  18 -> 39 [size =\"18502656\"]\n  18 -> 42 [size =\"18502656\"]\n  18 -> 43 [size =\"18502656\"]\n  19 [size=\"111629653\", alpha=\"0.01\", expect_size=\"33488896\"] \n  19 -> 39 [size =\"33488896\"]\n  19 -> 40 [size =\"33488896\"]\n  20 [size=\"165768533\", alpha=\"0.01\", expect_size=\"49730560\"] \n  20 -> 38 [size =\"49730560\"]\n  20 -> 40 [size =\"49730560\"]\n  20 -> 42 [size =\"49730560\"]\n  20 -> 45 [size =\"49730560\"]\n  21 [size=\"45656747\", alpha=\"0.06\", expect_size=\"13697024\"] \n  21 -> 38 [size =\"13697024\"]\n  21 -> 45 [size =\"13697024\"]\n  22 [size=\"64030720\", alpha=\"0.04\", expect_size=\"19209216\"] \n  22 -> 39 [size =\"19209216\"]\n  22 -> 42 [size =\"19209216\"]\n  22 -> 45 [size =\"19209216\"]\n  23 [size=\"36334933\", alpha=\"0.05\", expect_size=\"10900480\"] \n  23 -> 39 [size =\"10900480\"]\n  23 -> 42 [size =\"10900480\"]\n  23 -> 45 [size =\"10900480\"]\n  24 [size=\"171277653\", alpha=\"0.06\", expect_size=\"51383296\"] \n  24 -> 38 [size =\"51383296\"]\n  24 -> 40 [size =\"51383296\"]\n  24 -> 45 [size =\"51383296\"]\n  25 [size=\"134082560\", alpha=\"0.15\", expect_size=\"40224768\"] \n  25 -> 38 [size =\"40224768\"]\n  25 -> 39 [size =\"40224768\"]\n  25 -> 42 [size =\"40224768\"]\n  25 -> 44 [size =\"40224768\"]\n  26 [size=\"84476587\", alpha=\"0.09\", expect_size=\"25342976\"] \n  26 -> 38 [size =\"25342976\"]\n  26 -> 39 [size =\"25342976\"]\n  26 -> 41 [size =\"25342976\"]\n  27 [size=\"158730240\", alpha=\"0.13\", expect_size=\"47619072\"] \n  27 -> 38 [size =\"47619072\"]\n  27 -> 40 [size =\"47619072\"]\n  27 -> 41 [size =\"47619072\"]\n  27 -> 45 [size =\"47619072\"]\n  28 [size=\"66437120\", alpha=\"0.04\", expect_size=\"19931136\"] \n  28 -> 38 [size =\"19931136\"]\n  28 -> 41 [size =\"19931136\"]\n  28 -> 42 [size =\"19931136\"]\n  28 -> 45 [size =\"19931136\"]\n  29 [size=\"166959787\", alpha=\"0.09\", expect_size=\"50087936\"] \n  29 -> 38 [size =\"50087936\"]\n  29 -> 39 [size =\"50087936\"]\n  29 -> 42 [size =\"50087936\"]\n  30 [size=\"18725547\", alpha=\"0.20\", expect_size=\"5617664\"] \n  30 -> 40 [size =\"5617664\"]\n  30 -> 42 [size =\"5617664\"]\n  30 -> 45 [size =\"5617664\"]\n  31 [size=\"25395200\", alpha=\"0.07\", expect_size=\"7618560\"] \n  31 -> 40 [size =\"7618560\"]\n  31 -> 42 [size =\"7618560\"]\n  32 [size=\"70683307\", alpha=\"0.06\", expect_size=\"21204992\"] \n  32 -> 38 [size =\"21204992\"]\n  32 -> 40 [size =\"21204992\"]\n  32 -> 42 [size =\"21204992\"]\n  32 -> 43 [size =\"21204992\"]\n  33 [size=\"102461440\", alpha=\"0.04\", expect_size=\"30738432\"] \n  33 -> 38 [size =\"30738432\"]\n  33 -> 39 [size =\"30738432\"]\n  33 -> 42 [size =\"30738432\"]\n  33 -> 45 [size =\"30738432\"]\n  34 [size=\"144196267\", alpha=\"0.14\", expect_size=\"43258880\"] \n  34 -> 39 [size =\"43258880\"]\n  34 -> 42 [size =\"43258880\"]\n  34 -> 42 [size =\"43258880\"]\n  35 [size=\"30866773\", alpha=\"0.18\", expect_size=\"9260032\"] \n  35 -> 39 [size =\"9260032\"]\n  35 -> 40 [size =\"9260032\"]\n  35 -> 45 [size =\"9260032\"]\n  36 [size=\"148162560\", alpha=\"0.12\", expect_size=\"44448768\"] \n  36 -> 39 [size =\"44448768\"]\n  36 -> 45 [size =\"44448768\"]\n  37 [size=\"64430080\", alpha=\"0.01\", expect_size=\"19329024\"] \n  37 -> 38 [size =\"19329024\"]\n  37 -> 39 [size =\"19329024\"]\n  37 -> 40 [size =\"19329024\"]\n  37 -> 45 [size =\"19329024\"]\n  38 [size=\"164713813\", alpha=\"0.17\", expect_size=\"49414144\"] \n  39 [size=\"35123200\", alpha=\"0.04\", expect_size=\"10536960\"] \n  40 [size=\"104052053\", alpha=\"0.10\", expect_size=\"31215616\"] \n  41 [size=\"103693653\", alpha=\"0.19\", expect_size=\"31108096\"] \n  42 [size=\"160197973\", alpha=\"0.15\", expect_size=\"48059392\"] \n  43 [size=\"50848427\", alpha=\"0.12\", expect_size=\"15254528\"] \n  44 [size=\"85370880\", alpha=\"0.10\", expect_size=\"25611264\"] \n  45 [size=\"34430293\", alpha=\"0.02\", expect_size=\"10329088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30228480\", alpha=\"0.16\", expect_size=\"15114240\"] \n  1 -> 6 [size =\"15114240\"]\n  1 -> 9 [size =\"15114240\"]\n  2 [size=\"77961216\", alpha=\"0.09\", expect_size=\"38980608\"] \n  2 -> 6 [size =\"38980608\"]\n  2 -> 8 [size =\"38980608\"]\n  2 -> 9 [size =\"38980608\"]\n  3 [size=\"43350016\", alpha=\"0.16\", expect_size=\"21675008\"] \n  3 -> 6 [size =\"21675008\"]\n  3 -> 7 [size =\"21675008\"]\n  3 -> 8 [size =\"21675008\"]\n  3 -> 9 [size =\"21675008\"]\n  4 [size=\"74946560\", alpha=\"0.12\", expect_size=\"37473280\"] \n  4 -> 6 [size =\"37473280\"]\n  4 -> 9 [size =\"37473280\"]\n  4 -> 10 [size =\"37473280\"]\n  5 [size=\"16168960\", alpha=\"0.02\", expect_size=\"8084480\"] \n  5 -> 6 [size =\"8084480\"]\n  5 -> 7 [size =\"8084480\"]\n  5 -> 9 [size =\"8084480\"]\n  6 [size=\"76292096\", alpha=\"0.03\", expect_size=\"38146048\"] \n  6 -> 11 [size =\"38146048\"]\n  6 -> 14 [size =\"38146048\"]\n  6 -> 15 [size =\"38146048\"]\n  7 [size=\"88201216\", alpha=\"0.19\", expect_size=\"44100608\"] \n  7 -> 11 [size =\"44100608\"]\n  7 -> 14 [size =\"44100608\"]\n  7 -> 15 [size =\"44100608\"]\n  7 -> 16 [size =\"44100608\"]\n  8 [size=\"32471040\", alpha=\"0.05\", expect_size=\"16235520\"] \n  8 -> 11 [size =\"16235520\"]\n  8 -> 12 [size =\"16235520\"]\n  8 -> 14 [size =\"16235520\"]\n  8 -> 15 [size =\"16235520\"]\n  9 [size=\"20041728\", alpha=\"0.18\", expect_size=\"10020864\"] \n  9 -> 11 [size =\"10020864\"]\n  9 -> 12 [size =\"10020864\"]\n  9 -> 14 [size =\"10020864\"]\n  9 -> 15 [size =\"10020864\"]\n  10 [size=\"30687232\", alpha=\"0.08\", expect_size=\"15343616\"] \n  10 -> 11 [size =\"15343616\"]\n  10 -> 13 [size =\"15343616\"]\n  10 -> 14 [size =\"15343616\"]\n  10 -> 15 [size =\"15343616\"]\n  11 [size=\"55531520\", alpha=\"0.10\", expect_size=\"27765760\"] \n  11 -> 18 [size =\"27765760\"]\n  11 -> 20 [size =\"27765760\"]\n  11 -> 21 [size =\"27765760\"]\n  12 [size=\"34600960\", alpha=\"0.17\", expect_size=\"17300480\"] \n  12 -> 18 [size =\"17300480\"]\n  12 -> 20 [size =\"17300480\"]\n  13 [size=\"76089344\", alpha=\"0.17\", expect_size=\"38044672\"] \n  13 -> 20 [size =\"38044672\"]\n  13 -> 21 [size =\"38044672\"]\n  14 [size=\"56203264\", alpha=\"0.01\", expect_size=\"28101632\"] \n  14 -> 20 [size =\"28101632\"]\n  14 -> 21 [size =\"28101632\"]\n  15 [size=\"18352128\", alpha=\"0.09\", expect_size=\"9176064\"] \n  15 -> 17 [size =\"9176064\"]\n  15 -> 21 [size =\"9176064\"]\n  16 [size=\"29513728\", alpha=\"0.05\", expect_size=\"14756864\"] \n  16 -> 17 [size =\"14756864\"]\n  16 -> 19 [size =\"14756864\"]\n  16 -> 21 [size =\"14756864\"]\n  17 [size=\"43888640\", alpha=\"0.06\", expect_size=\"21944320\"] \n  17 -> 22 [size =\"21944320\"]\n  17 -> 23 [size =\"21944320\"]\n  17 -> 24 [size =\"21944320\"]\n  17 -> 26 [size =\"21944320\"]\n  17 -> 27 [size =\"21944320\"]\n  18 [size=\"37873664\", alpha=\"0.09\", expect_size=\"18936832\"] \n  18 -> 24 [size =\"18936832\"]\n  18 -> 27 [size =\"18936832\"]\n  19 [size=\"63324160\", alpha=\"0.13\", expect_size=\"31662080\"] \n  20 [size=\"56061952\", alpha=\"0.15\", expect_size=\"28030976\"] \n  20 -> 23 [size =\"28030976\"]\n  20 -> 24 [size =\"28030976\"]\n  20 -> 25 [size =\"28030976\"]\n  20 -> 26 [size =\"28030976\"]\n  21 [size=\"94029824\", alpha=\"0.02\", expect_size=\"47014912\"] \n  21 -> 24 [size =\"47014912\"]\n  21 -> 24 [size =\"47014912\"]\n  22 [size=\"46768128\", alpha=\"0.03\", expect_size=\"23384064\"] \n  22 -> 28 [size =\"23384064\"]\n  22 -> 32 [size =\"23384064\"]\n  23 [size=\"33333248\", alpha=\"0.11\", expect_size=\"16666624\"] \n  23 -> 28 [size =\"16666624\"]\n  23 -> 29 [size =\"16666624\"]\n  24 [size=\"20715520\", alpha=\"0.12\", expect_size=\"10357760\"] \n  24 -> 28 [size =\"10357760\"]\n  24 -> 29 [size =\"10357760\"]\n  24 -> 30 [size =\"10357760\"]\n  25 [size=\"27443200\", alpha=\"0.15\", expect_size=\"13721600\"] \n  25 -> 28 [size =\"13721600\"]\n  25 -> 31 [size =\"13721600\"]\n  25 -> 32 [size =\"13721600\"]\n  26 [size=\"71841792\", alpha=\"0.11\", expect_size=\"35920896\"] \n  26 -> 29 [size =\"35920896\"]\n  26 -> 31 [size =\"35920896\"]\n  27 [size=\"96503808\", alpha=\"0.05\", expect_size=\"48251904\"] \n  28 [size=\"31236096\", alpha=\"0.02\", expect_size=\"15618048\"] \n  28 -> 33 [size =\"15618048\"]\n  28 -> 36 [size =\"15618048\"]\n  29 [size=\"75405312\", alpha=\"0.02\", expect_size=\"37702656\"] \n  29 -> 33 [size =\"37702656\"]\n  29 -> 35 [size =\"37702656\"]\n  29 -> 36 [size =\"37702656\"]\n  29 -> 38 [size =\"37702656\"]\n  30 [size=\"42625024\", alpha=\"0.06\", expect_size=\"21312512\"] \n  30 -> 35 [size =\"21312512\"]\n  31 [size=\"21051392\", alpha=\"0.20\", expect_size=\"10525696\"] \n  31 -> 34 [size =\"10525696\"]\n  31 -> 35 [size =\"10525696\"]\n  31 -> 36 [size =\"10525696\"]\n  32 [size=\"30429184\", alpha=\"0.19\", expect_size=\"15214592\"] \n  32 -> 33 [size =\"15214592\"]\n  32 -> 34 [size =\"15214592\"]\n  32 -> 35 [size =\"15214592\"]\n  32 -> 36 [size =\"15214592\"]\n  32 -> 37 [size =\"15214592\"]\n  32 -> 38 [size =\"15214592\"]\n  33 [size=\"43866112\", alpha=\"0.11\", expect_size=\"21933056\"] \n  33 -> 39 [size =\"21933056\"]\n  33 -> 40 [size =\"21933056\"]\n  33 -> 42 [size =\"21933056\"]\n  33 -> 43 [size =\"21933056\"]\n  34 [size=\"94222336\", alpha=\"0.14\", expect_size=\"47111168\"] \n  34 -> 40 [size =\"47111168\"]\n  34 -> 43 [size =\"47111168\"]\n  35 [size=\"57221120\", alpha=\"0.18\", expect_size=\"28610560\"] \n  35 -> 40 [size =\"28610560\"]\n  35 -> 42 [size =\"28610560\"]\n  35 -> 43 [size =\"28610560\"]\n  36 [size=\"32915456\", alpha=\"0.06\", expect_size=\"16457728\"] \n  36 -> 39 [size =\"16457728\"]\n  36 -> 40 [size =\"16457728\"]\n  36 -> 41 [size =\"16457728\"]\n  36 -> 42 [size =\"16457728\"]\n  36 -> 43 [size =\"16457728\"]\n  37 [size=\"87111680\", alpha=\"0.01\", expect_size=\"43555840\"] \n  37 -> 40 [size =\"43555840\"]\n  37 -> 41 [size =\"43555840\"]\n  37 -> 42 [size =\"43555840\"]\n  37 -> 42 [size =\"43555840\"]\n  37 -> 43 [size =\"43555840\"]\n  38 [size=\"14413824\", alpha=\"0.02\", expect_size=\"7206912\"] \n  38 -> 40 [size =\"7206912\"]\n  38 -> 41 [size =\"7206912\"]\n  38 -> 42 [size =\"7206912\"]\n  39 [size=\"25546752\", alpha=\"0.14\", expect_size=\"12773376\"] \n  39 -> 44 [size =\"12773376\"]\n  39 -> 45 [size =\"12773376\"]\n  40 [size=\"35696640\", alpha=\"0.15\", expect_size=\"17848320\"] \n  40 -> 44 [size =\"17848320\"]\n  41 [size=\"65069056\", alpha=\"0.15\", expect_size=\"32534528\"] \n  42 [size=\"64335872\", alpha=\"0.02\", expect_size=\"32167936\"] \n  43 [size=\"57612288\", alpha=\"0.14\", expect_size=\"28806144\"] \n  43 -> 45 [size =\"28806144\"]\n  44 [size=\"16136192\", alpha=\"0.08\", expect_size=\"8068096\"] \n  45 [size=\"79992832\", alpha=\"0.06\", expect_size=\"39996416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12251136\", alpha=\"0.13\", expect_size=\"6125568\"] \n  1 -> 18 [size =\"6125568\"]\n  1 -> 20 [size =\"6125568\"]\n  1 -> 22 [size =\"6125568\"]\n  1 -> 24 [size =\"6125568\"]\n  2 [size=\"16721920\", alpha=\"0.17\", expect_size=\"8360960\"] \n  2 -> 16 [size =\"8360960\"]\n  2 -> 18 [size =\"8360960\"]\n  2 -> 20 [size =\"8360960\"]\n  2 -> 25 [size =\"8360960\"]\n  2 -> 26 [size =\"8360960\"]\n  3 [size=\"21047296\", alpha=\"0.10\", expect_size=\"10523648\"] \n  3 -> 18 [size =\"10523648\"]\n  3 -> 20 [size =\"10523648\"]\n  3 -> 20 [size =\"10523648\"]\n  3 -> 21 [size =\"10523648\"]\n  4 [size=\"100831232\", alpha=\"0.15\", expect_size=\"50415616\"] \n  4 -> 21 [size =\"50415616\"]\n  4 -> 22 [size =\"50415616\"]\n  4 -> 26 [size =\"50415616\"]\n  5 [size=\"45045760\", alpha=\"0.11\", expect_size=\"22522880\"] \n  5 -> 17 [size =\"22522880\"]\n  5 -> 18 [size =\"22522880\"]\n  5 -> 23 [size =\"22522880\"]\n  5 -> 24 [size =\"22522880\"]\n  5 -> 25 [size =\"22522880\"]\n  6 [size=\"59727872\", alpha=\"0.13\", expect_size=\"29863936\"] \n  6 -> 15 [size =\"29863936\"]\n  6 -> 17 [size =\"29863936\"]\n  7 [size=\"85641216\", alpha=\"0.03\", expect_size=\"42820608\"] \n  7 -> 27 [size =\"42820608\"]\n  8 [size=\"33056768\", alpha=\"0.14\", expect_size=\"16528384\"] \n  8 -> 15 [size =\"16528384\"]\n  8 -> 16 [size =\"16528384\"]\n  8 -> 17 [size =\"16528384\"]\n  8 -> 18 [size =\"16528384\"]\n  9 [size=\"31191040\", alpha=\"0.19\", expect_size=\"15595520\"] \n  9 -> 15 [size =\"15595520\"]\n  9 -> 17 [size =\"15595520\"]\n  9 -> 18 [size =\"15595520\"]\n  9 -> 19 [size =\"15595520\"]\n  9 -> 20 [size =\"15595520\"]\n  9 -> 21 [size =\"15595520\"]\n  9 -> 24 [size =\"15595520\"]\n  9 -> 26 [size =\"15595520\"]\n  9 -> 27 [size =\"15595520\"]\n  10 [size=\"14796800\", alpha=\"0.08\", expect_size=\"7398400\"] \n  10 -> 16 [size =\"7398400\"]\n  10 -> 17 [size =\"7398400\"]\n  10 -> 20 [size =\"7398400\"]\n  10 -> 21 [size =\"7398400\"]\n  10 -> 22 [size =\"7398400\"]\n  10 -> 24 [size =\"7398400\"]\n  10 -> 26 [size =\"7398400\"]\n  11 [size=\"30029824\", alpha=\"0.09\", expect_size=\"15014912\"] \n  11 -> 16 [size =\"15014912\"]\n  11 -> 17 [size =\"15014912\"]\n  11 -> 19 [size =\"15014912\"]\n  11 -> 20 [size =\"15014912\"]\n  11 -> 24 [size =\"15014912\"]\n  12 [size=\"91523072\", alpha=\"0.17\", expect_size=\"45761536\"] \n  12 -> 16 [size =\"45761536\"]\n  12 -> 17 [size =\"45761536\"]\n  12 -> 18 [size =\"45761536\"]\n  12 -> 20 [size =\"45761536\"]\n  12 -> 21 [size =\"45761536\"]\n  12 -> 26 [size =\"45761536\"]\n  13 [size=\"79527936\", alpha=\"0.09\", expect_size=\"39763968\"] \n  13 -> 18 [size =\"39763968\"]\n  13 -> 19 [size =\"39763968\"]\n  13 -> 20 [size =\"39763968\"]\n  13 -> 21 [size =\"39763968\"]\n  14 [size=\"33353728\", alpha=\"0.17\", expect_size=\"16676864\"] \n  14 -> 21 [size =\"16676864\"]\n  15 [size=\"10620928\", alpha=\"0.03\", expect_size=\"5310464\"] \n  15 -> 29 [size =\"5310464\"]\n  15 -> 40 [size =\"5310464\"]\n  16 [size=\"63412224\", alpha=\"0.18\", expect_size=\"31706112\"] \n  16 -> 28 [size =\"31706112\"]\n  16 -> 31 [size =\"31706112\"]\n  16 -> 32 [size =\"31706112\"]\n  16 -> 39 [size =\"31706112\"]\n  16 -> 40 [size =\"31706112\"]\n  17 [size=\"31002624\", alpha=\"0.05\", expect_size=\"15501312\"] \n  17 -> 28 [size =\"15501312\"]\n  17 -> 33 [size =\"15501312\"]\n  17 -> 35 [size =\"15501312\"]\n  17 -> 37 [size =\"15501312\"]\n  17 -> 40 [size =\"15501312\"]\n  18 [size=\"44398592\", alpha=\"0.16\", expect_size=\"22199296\"] \n  18 -> 29 [size =\"22199296\"]\n  18 -> 30 [size =\"22199296\"]\n  18 -> 32 [size =\"22199296\"]\n  18 -> 34 [size =\"22199296\"]\n  18 -> 37 [size =\"22199296\"]\n  18 -> 39 [size =\"22199296\"]\n  18 -> 40 [size =\"22199296\"]\n  19 [size=\"15814656\", alpha=\"0.17\", expect_size=\"7907328\"] \n  19 -> 36 [size =\"7907328\"]\n  19 -> 40 [size =\"7907328\"]\n  20 [size=\"10547200\", alpha=\"0.01\", expect_size=\"5273600\"] \n  20 -> 29 [size =\"5273600\"]\n  20 -> 30 [size =\"5273600\"]\n  20 -> 31 [size =\"5273600\"]\n  20 -> 32 [size =\"5273600\"]\n  20 -> 33 [size =\"5273600\"]\n  20 -> 37 [size =\"5273600\"]\n  20 -> 40 [size =\"5273600\"]\n  21 [size=\"49596416\", alpha=\"0.06\", expect_size=\"24798208\"] \n  21 -> 30 [size =\"24798208\"]\n  21 -> 33 [size =\"24798208\"]\n  21 -> 34 [size =\"24798208\"]\n  21 -> 36 [size =\"24798208\"]\n  21 -> 39 [size =\"24798208\"]\n  21 -> 40 [size =\"24798208\"]\n  22 [size=\"93341696\", alpha=\"0.11\", expect_size=\"46670848\"] \n  22 -> 28 [size =\"46670848\"]\n  22 -> 29 [size =\"46670848\"]\n  22 -> 36 [size =\"46670848\"]\n  22 -> 38 [size =\"46670848\"]\n  22 -> 40 [size =\"46670848\"]\n  23 [size=\"77520896\", alpha=\"0.19\", expect_size=\"38760448\"] \n  23 -> 29 [size =\"38760448\"]\n  23 -> 34 [size =\"38760448\"]\n  23 -> 36 [size =\"38760448\"]\n  24 [size=\"23549952\", alpha=\"0.07\", expect_size=\"11774976\"] \n  24 -> 30 [size =\"11774976\"]\n  24 -> 32 [size =\"11774976\"]\n  25 [size=\"103176192\", alpha=\"0.01\", expect_size=\"51588096\"] \n  25 -> 31 [size =\"51588096\"]\n  25 -> 36 [size =\"51588096\"]\n  26 [size=\"23263232\", alpha=\"0.06\", expect_size=\"11631616\"] \n  26 -> 33 [size =\"11631616\"]\n  27 [size=\"12627968\", alpha=\"0.07\", expect_size=\"6313984\"] \n  27 -> 29 [size =\"6313984\"]\n  27 -> 30 [size =\"6313984\"]\n  27 -> 32 [size =\"6313984\"]\n  27 -> 36 [size =\"6313984\"]\n  27 -> 39 [size =\"6313984\"]\n  28 [size=\"34979840\", alpha=\"0.13\", expect_size=\"17489920\"] \n  28 -> 45 [size =\"17489920\"]\n  29 [size=\"15728640\", alpha=\"0.03\", expect_size=\"7864320\"] \n  29 -> 42 [size =\"7864320\"]\n  29 -> 44 [size =\"7864320\"]\n  30 [size=\"95504384\", alpha=\"0.14\", expect_size=\"47752192\"] \n  30 -> 42 [size =\"47752192\"]\n  30 -> 43 [size =\"47752192\"]\n  30 -> 44 [size =\"47752192\"]\n  31 [size=\"100407296\", alpha=\"0.09\", expect_size=\"50203648\"] \n  31 -> 41 [size =\"50203648\"]\n  31 -> 42 [size =\"50203648\"]\n  31 -> 45 [size =\"50203648\"]\n  32 [size=\"32200704\", alpha=\"0.01\", expect_size=\"16100352\"] \n  32 -> 45 [size =\"16100352\"]\n  33 [size=\"85868544\", alpha=\"0.08\", expect_size=\"42934272\"] \n  34 [size=\"83230720\", alpha=\"0.20\", expect_size=\"41615360\"] \n  34 -> 45 [size =\"41615360\"]\n  35 [size=\"20256768\", alpha=\"0.12\", expect_size=\"10128384\"] \n  36 [size=\"25882624\", alpha=\"0.15\", expect_size=\"12941312\"] \n  36 -> 45 [size =\"12941312\"]\n  37 [size=\"54980608\", alpha=\"0.02\", expect_size=\"27490304\"] \n  37 -> 44 [size =\"27490304\"]\n  37 -> 45 [size =\"27490304\"]\n  38 [size=\"88330240\", alpha=\"0.17\", expect_size=\"44165120\"] \n  38 -> 43 [size =\"44165120\"]\n  38 -> 45 [size =\"44165120\"]\n  39 [size=\"54136832\", alpha=\"0.12\", expect_size=\"27068416\"] \n  39 -> 43 [size =\"27068416\"]\n  39 -> 45 [size =\"27068416\"]\n  40 [size=\"67477504\", alpha=\"0.08\", expect_size=\"33738752\"] \n  40 -> 44 [size =\"33738752\"]\n  41 [size=\"38289408\", alpha=\"0.12\", expect_size=\"19144704\"] \n  42 [size=\"80492544\", alpha=\"0.14\", expect_size=\"40246272\"] \n  43 [size=\"86380544\", alpha=\"0.09\", expect_size=\"43190272\"] \n  44 [size=\"30625792\", alpha=\"0.08\", expect_size=\"15312896\"] \n  45 [size=\"30466048\", alpha=\"0.06\", expect_size=\"15233024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14559232\", alpha=\"0.18\", expect_size=\"7279616\"] \n  1 -> 4 [size =\"7279616\"]\n  1 -> 5 [size =\"7279616\"]\n  1 -> 7 [size =\"7279616\"]\n  1 -> 7 [size =\"7279616\"]\n  1 -> 8 [size =\"7279616\"]\n  2 [size=\"87363584\", alpha=\"0.18\", expect_size=\"43681792\"] \n  2 -> 4 [size =\"43681792\"]\n  2 -> 5 [size =\"43681792\"]\n  2 -> 8 [size =\"43681792\"]\n  3 [size=\"27482112\", alpha=\"0.07\", expect_size=\"13741056\"] \n  3 -> 4 [size =\"13741056\"]\n  3 -> 5 [size =\"13741056\"]\n  3 -> 6 [size =\"13741056\"]\n  3 -> 7 [size =\"13741056\"]\n  3 -> 8 [size =\"13741056\"]\n  4 [size=\"99962880\", alpha=\"0.08\", expect_size=\"49981440\"] \n  4 -> 10 [size =\"49981440\"]\n  4 -> 12 [size =\"49981440\"]\n  4 -> 13 [size =\"49981440\"]\n  4 -> 14 [size =\"49981440\"]\n  5 [size=\"35766272\", alpha=\"0.12\", expect_size=\"17883136\"] \n  5 -> 9 [size =\"17883136\"]\n  5 -> 10 [size =\"17883136\"]\n  6 [size=\"67543040\", alpha=\"0.19\", expect_size=\"33771520\"] \n  6 -> 10 [size =\"33771520\"]\n  6 -> 10 [size =\"33771520\"]\n  6 -> 14 [size =\"33771520\"]\n  7 [size=\"66363392\", alpha=\"0.03\", expect_size=\"33181696\"] \n  7 -> 10 [size =\"33181696\"]\n  7 -> 13 [size =\"33181696\"]\n  7 -> 14 [size =\"33181696\"]\n  8 [size=\"74727424\", alpha=\"0.13\", expect_size=\"37363712\"] \n  8 -> 11 [size =\"37363712\"]\n  8 -> 13 [size =\"37363712\"]\n  8 -> 14 [size =\"37363712\"]\n  9 [size=\"34637824\", alpha=\"0.01\", expect_size=\"17318912\"] \n  9 -> 15 [size =\"17318912\"]\n  9 -> 17 [size =\"17318912\"]\n  10 [size=\"33841152\", alpha=\"0.04\", expect_size=\"16920576\"] \n  10 -> 16 [size =\"16920576\"]\n  10 -> 18 [size =\"16920576\"]\n  11 [size=\"79112192\", alpha=\"0.06\", expect_size=\"39556096\"] \n  11 -> 16 [size =\"39556096\"]\n  11 -> 18 [size =\"39556096\"]\n  12 [size=\"71475200\", alpha=\"0.18\", expect_size=\"35737600\"] \n  12 -> 16 [size =\"35737600\"]\n  12 -> 18 [size =\"35737600\"]\n  13 [size=\"61839360\", alpha=\"0.02\", expect_size=\"30919680\"] \n  13 -> 16 [size =\"30919680\"]\n  14 [size=\"93587456\", alpha=\"0.19\", expect_size=\"46793728\"] \n  14 -> 18 [size =\"46793728\"]\n  15 [size=\"34732032\", alpha=\"0.13\", expect_size=\"17366016\"] \n  15 -> 19 [size =\"17366016\"]\n  15 -> 21 [size =\"17366016\"]\n  15 -> 22 [size =\"17366016\"]\n  16 [size=\"90247168\", alpha=\"0.17\", expect_size=\"45123584\"] \n  16 -> 19 [size =\"45123584\"]\n  16 -> 20 [size =\"45123584\"]\n  16 -> 21 [size =\"45123584\"]\n  16 -> 22 [size =\"45123584\"]\n  17 [size=\"87781376\", alpha=\"0.15\", expect_size=\"43890688\"] \n  17 -> 19 [size =\"43890688\"]\n  17 -> 22 [size =\"43890688\"]\n  17 -> 23 [size =\"43890688\"]\n  18 [size=\"103872512\", alpha=\"0.14\", expect_size=\"51936256\"] \n  18 -> 19 [size =\"51936256\"]\n  18 -> 21 [size =\"51936256\"]\n  18 -> 22 [size =\"51936256\"]\n  19 [size=\"71032832\", alpha=\"0.18\", expect_size=\"35516416\"] \n  19 -> 25 [size =\"35516416\"]\n  19 -> 26 [size =\"35516416\"]\n  19 -> 28 [size =\"35516416\"]\n  19 -> 28 [size =\"35516416\"]\n  19 -> 29 [size =\"35516416\"]\n  19 -> 31 [size =\"35516416\"]\n  20 [size=\"74475520\", alpha=\"0.01\", expect_size=\"37237760\"] \n  20 -> 24 [size =\"37237760\"]\n  20 -> 25 [size =\"37237760\"]\n  20 -> 26 [size =\"37237760\"]\n  20 -> 28 [size =\"37237760\"]\n  20 -> 29 [size =\"37237760\"]\n  21 [size=\"92405760\", alpha=\"0.04\", expect_size=\"46202880\"] \n  21 -> 24 [size =\"46202880\"]\n  21 -> 25 [size =\"46202880\"]\n  21 -> 27 [size =\"46202880\"]\n  21 -> 29 [size =\"46202880\"]\n  21 -> 30 [size =\"46202880\"]\n  22 [size=\"28024832\", alpha=\"0.04\", expect_size=\"14012416\"] \n  22 -> 24 [size =\"14012416\"]\n  22 -> 25 [size =\"14012416\"]\n  22 -> 27 [size =\"14012416\"]\n  22 -> 30 [size =\"14012416\"]\n  22 -> 31 [size =\"14012416\"]\n  23 [size=\"16254976\", alpha=\"0.07\", expect_size=\"8127488\"] \n  23 -> 24 [size =\"8127488\"]\n  23 -> 25 [size =\"8127488\"]\n  23 -> 26 [size =\"8127488\"]\n  23 -> 28 [size =\"8127488\"]\n  23 -> 29 [size =\"8127488\"]\n  23 -> 30 [size =\"8127488\"]\n  23 -> 31 [size =\"8127488\"]\n  24 [size=\"25786368\", alpha=\"0.09\", expect_size=\"12893184\"] \n  24 -> 32 [size =\"12893184\"]\n  24 -> 34 [size =\"12893184\"]\n  24 -> 35 [size =\"12893184\"]\n  24 -> 39 [size =\"12893184\"]\n  25 [size=\"20355072\", alpha=\"0.16\", expect_size=\"10177536\"] \n  25 -> 32 [size =\"10177536\"]\n  25 -> 33 [size =\"10177536\"]\n  25 -> 34 [size =\"10177536\"]\n  25 -> 36 [size =\"10177536\"]\n  25 -> 37 [size =\"10177536\"]\n  26 [size=\"80781312\", alpha=\"0.16\", expect_size=\"40390656\"] \n  26 -> 34 [size =\"40390656\"]\n  26 -> 36 [size =\"40390656\"]\n  26 -> 37 [size =\"40390656\"]\n  26 -> 39 [size =\"40390656\"]\n  27 [size=\"65093632\", alpha=\"0.07\", expect_size=\"32546816\"] \n  27 -> 32 [size =\"32546816\"]\n  27 -> 34 [size =\"32546816\"]\n  27 -> 35 [size =\"32546816\"]\n  27 -> 37 [size =\"32546816\"]\n  27 -> 39 [size =\"32546816\"]\n  28 [size=\"39985152\", alpha=\"0.12\", expect_size=\"19992576\"] \n  28 -> 35 [size =\"19992576\"]\n  28 -> 36 [size =\"19992576\"]\n  28 -> 39 [size =\"19992576\"]\n  29 [size=\"103903232\", alpha=\"0.03\", expect_size=\"51951616\"] \n  29 -> 32 [size =\"51951616\"]\n  29 -> 34 [size =\"51951616\"]\n  29 -> 35 [size =\"51951616\"]\n  29 -> 37 [size =\"51951616\"]\n  29 -> 39 [size =\"51951616\"]\n  30 [size=\"96606208\", alpha=\"0.18\", expect_size=\"48303104\"] \n  30 -> 34 [size =\"48303104\"]\n  30 -> 34 [size =\"48303104\"]\n  30 -> 35 [size =\"48303104\"]\n  30 -> 37 [size =\"48303104\"]\n  30 -> 39 [size =\"48303104\"]\n  31 [size=\"100595712\", alpha=\"0.07\", expect_size=\"50297856\"] \n  31 -> 34 [size =\"50297856\"]\n  31 -> 35 [size =\"50297856\"]\n  31 -> 35 [size =\"50297856\"]\n  31 -> 37 [size =\"50297856\"]\n  31 -> 38 [size =\"50297856\"]\n  31 -> 39 [size =\"50297856\"]\n  32 [size=\"25577472\", alpha=\"0.10\", expect_size=\"12788736\"] \n  32 -> 42 [size =\"12788736\"]\n  33 [size=\"42799104\", alpha=\"0.03\", expect_size=\"21399552\"] \n  33 -> 42 [size =\"21399552\"]\n  34 [size=\"74891264\", alpha=\"0.14\", expect_size=\"37445632\"] \n  35 [size=\"22585344\", alpha=\"0.10\", expect_size=\"11292672\"] \n  35 -> 40 [size =\"11292672\"]\n  36 [size=\"99905536\", alpha=\"0.04\", expect_size=\"49952768\"] \n  36 -> 40 [size =\"49952768\"]\n  36 -> 41 [size =\"49952768\"]\n  36 -> 42 [size =\"49952768\"]\n  37 [size=\"80797696\", alpha=\"0.13\", expect_size=\"40398848\"] \n  38 [size=\"21137408\", alpha=\"0.02\", expect_size=\"10568704\"] \n  38 -> 41 [size =\"10568704\"]\n  39 [size=\"79540224\", alpha=\"0.04\", expect_size=\"39770112\"] \n  39 -> 41 [size =\"39770112\"]\n  39 -> 42 [size =\"39770112\"]\n  40 [size=\"91416576\", alpha=\"0.00\", expect_size=\"45708288\"] \n  40 -> 43 [size =\"45708288\"]\n  40 -> 44 [size =\"45708288\"]\n  40 -> 45 [size =\"45708288\"]\n  41 [size=\"80123904\", alpha=\"0.13\", expect_size=\"40061952\"] \n  41 -> 43 [size =\"40061952\"]\n  41 -> 44 [size =\"40061952\"]\n  42 [size=\"19916800\", alpha=\"0.10\", expect_size=\"9958400\"] \n  42 -> 43 [size =\"9958400\"]\n  42 -> 44 [size =\"9958400\"]\n  42 -> 45 [size =\"9958400\"]\n  43 [size=\"66156544\", alpha=\"0.08\", expect_size=\"33078272\"] \n  44 [size=\"81455104\", alpha=\"0.09\", expect_size=\"40727552\"] \n  45 [size=\"54542336\", alpha=\"0.12\", expect_size=\"27271168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105643520\", alpha=\"0.11\", expect_size=\"42257408\"] \n  1 -> 2 [size =\"42257408\"]\n  2 [size=\"90757120\", alpha=\"0.05\", expect_size=\"36302848\"] \n  2 -> 3 [size =\"36302848\"]\n  3 [size=\"94504960\", alpha=\"0.07\", expect_size=\"37801984\"] \n  3 -> 4 [size =\"37801984\"]\n  4 [size=\"76021760\", alpha=\"0.00\", expect_size=\"30408704\"] \n  4 -> 5 [size =\"30408704\"]\n  5 [size=\"65267200\", alpha=\"0.12\", expect_size=\"26106880\"] \n  5 -> 6 [size =\"26106880\"]\n  6 [size=\"43642880\", alpha=\"0.19\", expect_size=\"17457152\"] \n  6 -> 7 [size =\"17457152\"]\n  7 [size=\"58739200\", alpha=\"0.16\", expect_size=\"23495680\"] \n  7 -> 8 [size =\"23495680\"]\n  8 [size=\"104130560\", alpha=\"0.14\", expect_size=\"41652224\"] \n  8 -> 9 [size =\"41652224\"]\n  9 [size=\"119869440\", alpha=\"0.06\", expect_size=\"47947776\"] \n  9 -> 10 [size =\"47947776\"]\n  10 [size=\"94645760\", alpha=\"0.11\", expect_size=\"37858304\"] \n  10 -> 11 [size =\"37858304\"]\n  11 [size=\"89259520\", alpha=\"0.09\", expect_size=\"35703808\"] \n  11 -> 12 [size =\"35703808\"]\n  12 [size=\"36375040\", alpha=\"0.03\", expect_size=\"14550016\"] \n  12 -> 13 [size =\"14550016\"]\n  13 [size=\"63127040\", alpha=\"0.04\", expect_size=\"25250816\"] \n  13 -> 14 [size =\"25250816\"]\n  14 [size=\"103467520\", alpha=\"0.18\", expect_size=\"41387008\"] \n  14 -> 15 [size =\"41387008\"]\n  15 [size=\"104404480\", alpha=\"0.01\", expect_size=\"41761792\"] \n  15 -> 16 [size =\"41761792\"]\n  16 [size=\"58344960\", alpha=\"0.03\", expect_size=\"23337984\"] \n  16 -> 17 [size =\"23337984\"]\n  17 [size=\"55270400\", alpha=\"0.17\", expect_size=\"22108160\"] \n  17 -> 18 [size =\"22108160\"]\n  18 [size=\"29788160\", alpha=\"0.02\", expect_size=\"11915264\"] \n  18 -> 19 [size =\"11915264\"]\n  19 [size=\"111692800\", alpha=\"0.20\", expect_size=\"44677120\"] \n  19 -> 20 [size =\"44677120\"]\n  20 [size=\"31710720\", alpha=\"0.16\", expect_size=\"12684288\"] \n  20 -> 21 [size =\"12684288\"]\n  21 [size=\"99258880\", alpha=\"0.07\", expect_size=\"39703552\"] \n  21 -> 22 [size =\"39703552\"]\n  22 [size=\"31959040\", alpha=\"0.12\", expect_size=\"12783616\"] \n  22 -> 23 [size =\"12783616\"]\n  23 [size=\"47198720\", alpha=\"0.11\", expect_size=\"18879488\"] \n  23 -> 24 [size =\"18879488\"]\n  24 [size=\"72588800\", alpha=\"0.00\", expect_size=\"29035520\"] \n  24 -> 25 [size =\"29035520\"]\n  25 [size=\"58081280\", alpha=\"0.18\", expect_size=\"23232512\"] \n  25 -> 26 [size =\"23232512\"]\n  26 [size=\"62366720\", alpha=\"0.01\", expect_size=\"24946688\"] \n  26 -> 27 [size =\"24946688\"]\n  27 [size=\"77196800\", alpha=\"0.12\", expect_size=\"30878720\"] \n  27 -> 28 [size =\"30878720\"]\n  28 [size=\"57039360\", alpha=\"0.19\", expect_size=\"22815744\"] \n  28 -> 29 [size =\"22815744\"]\n  29 [size=\"66933760\", alpha=\"0.04\", expect_size=\"26773504\"] \n  29 -> 30 [size =\"26773504\"]\n  30 [size=\"65244160\", alpha=\"0.02\", expect_size=\"26097664\"] \n  30 -> 31 [size =\"26097664\"]\n  31 [size=\"39705600\", alpha=\"0.13\", expect_size=\"15882240\"] \n  31 -> 32 [size =\"15882240\"]\n  32 [size=\"82854400\", alpha=\"0.08\", expect_size=\"33141760\"] \n  32 -> 33 [size =\"33141760\"]\n  33 [size=\"36410880\", alpha=\"0.12\", expect_size=\"14564352\"] \n  33 -> 34 [size =\"14564352\"]\n  34 [size=\"99742720\", alpha=\"0.11\", expect_size=\"39897088\"] \n  34 -> 35 [size =\"39897088\"]\n  35 [size=\"99837440\", alpha=\"0.06\", expect_size=\"39934976\"] \n  35 -> 36 [size =\"39934976\"]\n  36 [size=\"88849920\", alpha=\"0.08\", expect_size=\"35539968\"] \n  36 -> 37 [size =\"35539968\"]\n  37 [size=\"97326080\", alpha=\"0.17\", expect_size=\"38930432\"] \n  37 -> 38 [size =\"38930432\"]\n  38 [size=\"52928000\", alpha=\"0.09\", expect_size=\"21171200\"] \n  38 -> 39 [size =\"21171200\"]\n  39 [size=\"46681600\", alpha=\"0.18\", expect_size=\"18672640\"] \n  39 -> 40 [size =\"18672640\"]\n  40 [size=\"67384320\", alpha=\"0.10\", expect_size=\"26953728\"] \n  40 -> 41 [size =\"26953728\"]\n  41 [size=\"78612480\", alpha=\"0.17\", expect_size=\"31444992\"] \n  41 -> 42 [size =\"31444992\"]\n  42 [size=\"38556160\", alpha=\"0.07\", expect_size=\"15422464\"] \n  42 -> 43 [size =\"15422464\"]\n  43 [size=\"88448000\", alpha=\"0.03\", expect_size=\"35379200\"] \n  43 -> 44 [size =\"35379200\"]\n  44 [size=\"42378240\", alpha=\"0.08\", expect_size=\"16951296\"] \n  44 -> 45 [size =\"16951296\"]\n  45 [size=\"108674560\", alpha=\"0.02\", expect_size=\"43469824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62617600\", alpha=\"0.12\", expect_size=\"18785280\"] \n  1 -> 31 [size =\"18785280\"]\n  1 -> 34 [size =\"18785280\"]\n  1 -> 37 [size =\"18785280\"]\n  1 -> 39 [size =\"18785280\"]\n  2 [size=\"155364693\", alpha=\"0.07\", expect_size=\"46609408\"] \n  2 -> 33 [size =\"46609408\"]\n  2 -> 34 [size =\"46609408\"]\n  2 -> 37 [size =\"46609408\"]\n  2 -> 39 [size =\"46609408\"]\n  2 -> 42 [size =\"46609408\"]\n  2 -> 45 [size =\"46609408\"]\n  3 [size=\"49605973\", alpha=\"0.03\", expect_size=\"14881792\"] \n  3 -> 34 [size =\"14881792\"]\n  3 -> 34 [size =\"14881792\"]\n  3 -> 39 [size =\"14881792\"]\n  3 -> 39 [size =\"14881792\"]\n  3 -> 43 [size =\"14881792\"]\n  4 [size=\"28532053\", alpha=\"0.15\", expect_size=\"8559616\"] \n  4 -> 34 [size =\"8559616\"]\n  4 -> 35 [size =\"8559616\"]\n  4 -> 41 [size =\"8559616\"]\n  4 -> 42 [size =\"8559616\"]\n  4 -> 43 [size =\"8559616\"]\n  5 [size=\"75547307\", alpha=\"0.19\", expect_size=\"22664192\"] \n  5 -> 31 [size =\"22664192\"]\n  5 -> 34 [size =\"22664192\"]\n  5 -> 42 [size =\"22664192\"]\n  5 -> 43 [size =\"22664192\"]\n  5 -> 45 [size =\"22664192\"]\n  6 [size=\"80384000\", alpha=\"0.20\", expect_size=\"24115200\"] \n  6 -> 30 [size =\"24115200\"]\n  6 -> 32 [size =\"24115200\"]\n  6 -> 36 [size =\"24115200\"]\n  6 -> 45 [size =\"24115200\"]\n  7 [size=\"123518293\", alpha=\"0.10\", expect_size=\"37055488\"] \n  7 -> 33 [size =\"37055488\"]\n  7 -> 42 [size =\"37055488\"]\n  7 -> 43 [size =\"37055488\"]\n  7 -> 45 [size =\"37055488\"]\n  8 [size=\"109240320\", alpha=\"0.12\", expect_size=\"32772096\"] \n  8 -> 38 [size =\"32772096\"]\n  8 -> 42 [size =\"32772096\"]\n  9 [size=\"68812800\", alpha=\"0.06\", expect_size=\"20643840\"] \n  9 -> 32 [size =\"20643840\"]\n  9 -> 42 [size =\"20643840\"]\n  9 -> 43 [size =\"20643840\"]\n  10 [size=\"165734400\", alpha=\"0.15\", expect_size=\"49720320\"] \n  10 -> 31 [size =\"49720320\"]\n  10 -> 41 [size =\"49720320\"]\n  10 -> 45 [size =\"49720320\"]\n  11 [size=\"108728320\", alpha=\"0.07\", expect_size=\"32618496\"] \n  11 -> 34 [size =\"32618496\"]\n  11 -> 39 [size =\"32618496\"]\n  11 -> 41 [size =\"32618496\"]\n  11 -> 42 [size =\"32618496\"]\n  12 [size=\"49742507\", alpha=\"0.13\", expect_size=\"14922752\"] \n  12 -> 30 [size =\"14922752\"]\n  12 -> 31 [size =\"14922752\"]\n  12 -> 34 [size =\"14922752\"]\n  12 -> 39 [size =\"14922752\"]\n  12 -> 41 [size =\"14922752\"]\n  12 -> 43 [size =\"14922752\"]\n  12 -> 45 [size =\"14922752\"]\n  13 [size=\"103000747\", alpha=\"0.11\", expect_size=\"30900224\"] \n  13 -> 31 [size =\"30900224\"]\n  13 -> 32 [size =\"30900224\"]\n  13 -> 33 [size =\"30900224\"]\n  13 -> 34 [size =\"30900224\"]\n  13 -> 35 [size =\"30900224\"]\n  13 -> 42 [size =\"30900224\"]\n  13 -> 43 [size =\"30900224\"]\n  13 -> 44 [size =\"30900224\"]\n  13 -> 45 [size =\"30900224\"]\n  14 [size=\"129955840\", alpha=\"0.19\", expect_size=\"38986752\"] \n  14 -> 31 [size =\"38986752\"]\n  14 -> 32 [size =\"38986752\"]\n  14 -> 34 [size =\"38986752\"]\n  14 -> 35 [size =\"38986752\"]\n  14 -> 45 [size =\"38986752\"]\n  15 [size=\"93934933\", alpha=\"0.10\", expect_size=\"28180480\"] \n  15 -> 31 [size =\"28180480\"]\n  15 -> 34 [size =\"28180480\"]\n  15 -> 36 [size =\"28180480\"]\n  15 -> 40 [size =\"28180480\"]\n  15 -> 43 [size =\"28180480\"]\n  15 -> 45 [size =\"28180480\"]\n  16 [size=\"87531520\", alpha=\"0.14\", expect_size=\"26259456\"] \n  16 -> 32 [size =\"26259456\"]\n  16 -> 39 [size =\"26259456\"]\n  16 -> 45 [size =\"26259456\"]\n  17 [size=\"87016107\", alpha=\"0.14\", expect_size=\"26104832\"] \n  17 -> 32 [size =\"26104832\"]\n  17 -> 45 [size =\"26104832\"]\n  18 [size=\"168444587\", alpha=\"0.04\", expect_size=\"50533376\"] \n  18 -> 31 [size =\"50533376\"]\n  18 -> 34 [size =\"50533376\"]\n  18 -> 38 [size =\"50533376\"]\n  18 -> 41 [size =\"50533376\"]\n  19 [size=\"108677120\", alpha=\"0.02\", expect_size=\"32603136\"] \n  19 -> 31 [size =\"32603136\"]\n  19 -> 34 [size =\"32603136\"]\n  20 [size=\"152746667\", alpha=\"0.05\", expect_size=\"45824000\"] \n  20 -> 33 [size =\"45824000\"]\n  20 -> 39 [size =\"45824000\"]\n  20 -> 40 [size =\"45824000\"]\n  20 -> 43 [size =\"45824000\"]\n  20 -> 45 [size =\"45824000\"]\n  21 [size=\"114565120\", alpha=\"0.13\", expect_size=\"34369536\"] \n  21 -> 38 [size =\"34369536\"]\n  21 -> 42 [size =\"34369536\"]\n  21 -> 43 [size =\"34369536\"]\n  22 [size=\"168031573\", alpha=\"0.19\", expect_size=\"50409472\"] \n  22 -> 42 [size =\"50409472\"]\n  23 [size=\"114292053\", alpha=\"0.10\", expect_size=\"34287616\"] \n  23 -> 30 [size =\"34287616\"]\n  23 -> 37 [size =\"34287616\"]\n  23 -> 39 [size =\"34287616\"]\n  24 [size=\"41956693\", alpha=\"0.01\", expect_size=\"12587008\"] \n  24 -> 32 [size =\"12587008\"]\n  24 -> 34 [size =\"12587008\"]\n  24 -> 41 [size =\"12587008\"]\n  25 [size=\"35635200\", alpha=\"0.01\", expect_size=\"10690560\"] \n  25 -> 39 [size =\"10690560\"]\n  25 -> 43 [size =\"10690560\"]\n  26 [size=\"110844587\", alpha=\"0.08\", expect_size=\"33253376\"] \n  26 -> 31 [size =\"33253376\"]\n  26 -> 33 [size =\"33253376\"]\n  26 -> 34 [size =\"33253376\"]\n  26 -> 35 [size =\"33253376\"]\n  26 -> 37 [size =\"33253376\"]\n  26 -> 41 [size =\"33253376\"]\n  27 [size=\"63505067\", alpha=\"0.08\", expect_size=\"19051520\"] \n  27 -> 30 [size =\"19051520\"]\n  27 -> 41 [size =\"19051520\"]\n  27 -> 43 [size =\"19051520\"]\n  28 [size=\"171076267\", alpha=\"0.00\", expect_size=\"51322880\"] \n  28 -> 30 [size =\"51322880\"]\n  28 -> 31 [size =\"51322880\"]\n  28 -> 33 [size =\"51322880\"]\n  28 -> 34 [size =\"51322880\"]\n  28 -> 35 [size =\"51322880\"]\n  28 -> 42 [size =\"51322880\"]\n  29 [size=\"46407680\", alpha=\"0.19\", expect_size=\"13922304\"] \n  29 -> 30 [size =\"13922304\"]\n  29 -> 34 [size =\"13922304\"]\n  29 -> 39 [size =\"13922304\"]\n  29 -> 45 [size =\"13922304\"]\n  30 [size=\"59395413\", alpha=\"0.17\", expect_size=\"17818624\"] \n  31 [size=\"95467520\", alpha=\"0.06\", expect_size=\"28640256\"] \n  32 [size=\"42489173\", alpha=\"0.19\", expect_size=\"12746752\"] \n  33 [size=\"38348800\", alpha=\"0.04\", expect_size=\"11504640\"] \n  34 [size=\"115176107\", alpha=\"0.02\", expect_size=\"34552832\"] \n  35 [size=\"126743893\", alpha=\"0.10\", expect_size=\"38023168\"] \n  36 [size=\"131126613\", alpha=\"0.07\", expect_size=\"39337984\"] \n  37 [size=\"33942187\", alpha=\"0.13\", expect_size=\"10182656\"] \n  38 [size=\"98522453\", alpha=\"0.19\", expect_size=\"29556736\"] \n  39 [size=\"102065493\", alpha=\"0.15\", expect_size=\"30619648\"] \n  40 [size=\"95904427\", alpha=\"0.09\", expect_size=\"28771328\"] \n  41 [size=\"71014400\", alpha=\"0.16\", expect_size=\"21304320\"] \n  42 [size=\"118647467\", alpha=\"0.01\", expect_size=\"35594240\"] \n  43 [size=\"113790293\", alpha=\"0.19\", expect_size=\"34137088\"] \n  44 [size=\"141967360\", alpha=\"0.20\", expect_size=\"42590208\"] \n  45 [size=\"158371840\", alpha=\"0.03\", expect_size=\"47511552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122726400\", alpha=\"0.16\", expect_size=\"49090560\"] \n  2 [size=\"50790400\", alpha=\"0.19\", expect_size=\"20316160\"] \n  2 -> 3 [size =\"20316160\"]\n  2 -> 4 [size =\"20316160\"]\n  3 [size=\"51558400\", alpha=\"0.12\", expect_size=\"20623360\"] \n  3 -> 6 [size =\"20623360\"]\n  4 [size=\"101109760\", alpha=\"0.20\", expect_size=\"40443904\"] \n  4 -> 5 [size =\"40443904\"]\n  5 [size=\"21388800\", alpha=\"0.03\", expect_size=\"8555520\"] \n  5 -> 7 [size =\"8555520\"]\n  5 -> 8 [size =\"8555520\"]\n  6 [size=\"76088320\", alpha=\"0.08\", expect_size=\"30435328\"] \n  7 [size=\"75289600\", alpha=\"0.19\", expect_size=\"30115840\"] \n  7 -> 10 [size =\"30115840\"]\n  8 [size=\"66933760\", alpha=\"0.00\", expect_size=\"26773504\"] \n  8 -> 9 [size =\"26773504\"]\n  8 -> 11 [size =\"26773504\"]\n  9 [size=\"30522880\", alpha=\"0.15\", expect_size=\"12209152\"] \n  9 -> 14 [size =\"12209152\"]\n  10 [size=\"15925760\", alpha=\"0.13\", expect_size=\"6370304\"] \n  11 [size=\"113262080\", alpha=\"0.06\", expect_size=\"45304832\"] \n  11 -> 12 [size =\"45304832\"]\n  11 -> 13 [size =\"45304832\"]\n  11 -> 14 [size =\"45304832\"]\n  12 [size=\"92536320\", alpha=\"0.18\", expect_size=\"37014528\"] \n  12 -> 16 [size =\"37014528\"]\n  13 [size=\"84139520\", alpha=\"0.08\", expect_size=\"33655808\"] \n  13 -> 15 [size =\"33655808\"]\n  14 [size=\"35322880\", alpha=\"0.13\", expect_size=\"14129152\"] \n  14 -> 16 [size =\"14129152\"]\n  14 -> 17 [size =\"14129152\"]\n  15 [size=\"32404480\", alpha=\"0.11\", expect_size=\"12961792\"] \n  15 -> 19 [size =\"12961792\"]\n  15 -> 20 [size =\"12961792\"]\n  16 [size=\"52712960\", alpha=\"0.17\", expect_size=\"21085184\"] \n  16 -> 19 [size =\"21085184\"]\n  17 [size=\"99747840\", alpha=\"0.19\", expect_size=\"39899136\"] \n  17 -> 18 [size =\"39899136\"]\n  18 [size=\"93099520\", alpha=\"0.17\", expect_size=\"37239808\"] \n  18 -> 21 [size =\"37239808\"]\n  18 -> 22 [size =\"37239808\"]\n  19 [size=\"93112320\", alpha=\"0.14\", expect_size=\"37244928\"] \n  20 [size=\"61107200\", alpha=\"0.07\", expect_size=\"24442880\"] \n  20 -> 21 [size =\"24442880\"]\n  20 -> 22 [size =\"24442880\"]\n  20 -> 23 [size =\"24442880\"]\n  21 [size=\"22612480\", alpha=\"0.19\", expect_size=\"9044992\"] \n  21 -> 25 [size =\"9044992\"]\n  22 [size=\"56770560\", alpha=\"0.18\", expect_size=\"22708224\"] \n  23 [size=\"44129280\", alpha=\"0.03\", expect_size=\"17651712\"] \n  23 -> 24 [size =\"17651712\"]\n  24 [size=\"89751040\", alpha=\"0.02\", expect_size=\"35900416\"] \n  24 -> 26 [size =\"35900416\"]\n  24 -> 27 [size =\"35900416\"]\n  24 -> 28 [size =\"35900416\"]\n  25 [size=\"50301440\", alpha=\"0.04\", expect_size=\"20120576\"] \n  26 [size=\"116190720\", alpha=\"0.16\", expect_size=\"46476288\"] \n  27 [size=\"97925120\", alpha=\"0.18\", expect_size=\"39170048\"] \n  27 -> 29 [size =\"39170048\"]\n  27 -> 30 [size =\"39170048\"]\n  28 [size=\"92193280\", alpha=\"0.10\", expect_size=\"36877312\"] \n  28 -> 29 [size =\"36877312\"]\n  28 -> 31 [size =\"36877312\"]\n  29 [size=\"77347840\", alpha=\"0.04\", expect_size=\"30939136\"] \n  30 [size=\"41029120\", alpha=\"0.19\", expect_size=\"16411648\"] \n  30 -> 32 [size =\"16411648\"]\n  31 [size=\"83901440\", alpha=\"0.11\", expect_size=\"33560576\"] \n  31 -> 33 [size =\"33560576\"]\n  31 -> 34 [size =\"33560576\"]\n  32 [size=\"79659520\", alpha=\"0.17\", expect_size=\"31863808\"] \n  33 [size=\"65981440\", alpha=\"0.14\", expect_size=\"26392576\"] \n  33 -> 35 [size =\"26392576\"]\n  33 -> 36 [size =\"26392576\"]\n  33 -> 37 [size =\"26392576\"]\n  34 [size=\"81323520\", alpha=\"0.15\", expect_size=\"32529408\"] \n  34 -> 36 [size =\"32529408\"]\n  35 [size=\"95720960\", alpha=\"0.00\", expect_size=\"38288384\"] \n  35 -> 40 [size =\"38288384\"]\n  36 [size=\"117460480\", alpha=\"0.11\", expect_size=\"46984192\"] \n  37 [size=\"91555840\", alpha=\"0.17\", expect_size=\"36622336\"] \n  37 -> 38 [size =\"36622336\"]\n  37 -> 39 [size =\"36622336\"]\n  37 -> 40 [size =\"36622336\"]\n  38 [size=\"80189440\", alpha=\"0.17\", expect_size=\"32075776\"] \n  38 -> 41 [size =\"32075776\"]\n  39 [size=\"19225600\", alpha=\"0.10\", expect_size=\"7690240\"] \n  39 -> 43 [size =\"7690240\"]\n  40 [size=\"44047360\", alpha=\"0.11\", expect_size=\"17618944\"] \n  40 -> 41 [size =\"17618944\"]\n  40 -> 42 [size =\"17618944\"]\n  41 [size=\"39511040\", alpha=\"0.14\", expect_size=\"15804416\"] \n  42 [size=\"105771520\", alpha=\"0.04\", expect_size=\"42308608\"] \n  42 -> 44 [size =\"42308608\"]\n  42 -> 45 [size =\"42308608\"]\n  43 [size=\"86328320\", alpha=\"0.20\", expect_size=\"34531328\"] \n  44 [size=\"52218880\", alpha=\"0.08\", expect_size=\"20887552\"] \n  45 [size=\"25656320\", alpha=\"0.03\", expect_size=\"10262528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86370304\", alpha=\"0.14\", expect_size=\"43185152\"] \n  1 -> 2 [size =\"43185152\"]\n  2 [size=\"101724160\", alpha=\"0.08\", expect_size=\"50862080\"] \n  2 -> 3 [size =\"50862080\"]\n  3 [size=\"69408768\", alpha=\"0.17\", expect_size=\"34704384\"] \n  3 -> 4 [size =\"34704384\"]\n  4 [size=\"48510976\", alpha=\"0.15\", expect_size=\"24255488\"] \n  4 -> 5 [size =\"24255488\"]\n  5 [size=\"87144448\", alpha=\"0.17\", expect_size=\"43572224\"] \n  5 -> 6 [size =\"43572224\"]\n  6 [size=\"15282176\", alpha=\"0.10\", expect_size=\"7641088\"] \n  6 -> 7 [size =\"7641088\"]\n  7 [size=\"41244672\", alpha=\"0.07\", expect_size=\"20622336\"] \n  7 -> 8 [size =\"20622336\"]\n  8 [size=\"79564800\", alpha=\"0.03\", expect_size=\"39782400\"] \n  8 -> 9 [size =\"39782400\"]\n  9 [size=\"19619840\", alpha=\"0.05\", expect_size=\"9809920\"] \n  9 -> 10 [size =\"9809920\"]\n  10 [size=\"96184320\", alpha=\"0.06\", expect_size=\"48092160\"] \n  10 -> 11 [size =\"48092160\"]\n  11 [size=\"84547584\", alpha=\"0.00\", expect_size=\"42273792\"] \n  11 -> 12 [size =\"42273792\"]\n  12 [size=\"56524800\", alpha=\"0.17\", expect_size=\"28262400\"] \n  12 -> 13 [size =\"28262400\"]\n  13 [size=\"93396992\", alpha=\"0.16\", expect_size=\"46698496\"] \n  13 -> 14 [size =\"46698496\"]\n  14 [size=\"80834560\", alpha=\"0.15\", expect_size=\"40417280\"] \n  14 -> 15 [size =\"40417280\"]\n  15 [size=\"58947584\", alpha=\"0.07\", expect_size=\"29473792\"] \n  15 -> 16 [size =\"29473792\"]\n  16 [size=\"43575296\", alpha=\"0.10\", expect_size=\"21787648\"] \n  16 -> 17 [size =\"21787648\"]\n  17 [size=\"88750080\", alpha=\"0.10\", expect_size=\"44375040\"] \n  17 -> 18 [size =\"44375040\"]\n  18 [size=\"28143616\", alpha=\"0.20\", expect_size=\"14071808\"] \n  18 -> 19 [size =\"14071808\"]\n  19 [size=\"40114176\", alpha=\"0.17\", expect_size=\"20057088\"] \n  19 -> 20 [size =\"20057088\"]\n  20 [size=\"61913088\", alpha=\"0.16\", expect_size=\"30956544\"] \n  20 -> 21 [size =\"30956544\"]\n  21 [size=\"90185728\", alpha=\"0.10\", expect_size=\"45092864\"] \n  21 -> 22 [size =\"45092864\"]\n  22 [size=\"90724352\", alpha=\"0.05\", expect_size=\"45362176\"] \n  22 -> 23 [size =\"45362176\"]\n  23 [size=\"75569152\", alpha=\"0.11\", expect_size=\"37784576\"] \n  23 -> 24 [size =\"37784576\"]\n  24 [size=\"58869760\", alpha=\"0.06\", expect_size=\"29434880\"] \n  24 -> 25 [size =\"29434880\"]\n  25 [size=\"37158912\", alpha=\"0.17\", expect_size=\"18579456\"] \n  25 -> 26 [size =\"18579456\"]\n  26 [size=\"72480768\", alpha=\"0.09\", expect_size=\"36240384\"] \n  26 -> 27 [size =\"36240384\"]\n  27 [size=\"25561088\", alpha=\"0.07\", expect_size=\"12780544\"] \n  27 -> 28 [size =\"12780544\"]\n  28 [size=\"73367552\", alpha=\"0.00\", expect_size=\"36683776\"] \n  28 -> 29 [size =\"36683776\"]\n  29 [size=\"72357888\", alpha=\"0.16\", expect_size=\"36178944\"] \n  29 -> 30 [size =\"36178944\"]\n  30 [size=\"57194496\", alpha=\"0.09\", expect_size=\"28597248\"] \n  30 -> 31 [size =\"28597248\"]\n  31 [size=\"36114432\", alpha=\"0.18\", expect_size=\"18057216\"] \n  31 -> 32 [size =\"18057216\"]\n  32 [size=\"85006336\", alpha=\"0.16\", expect_size=\"42503168\"] \n  32 -> 33 [size =\"42503168\"]\n  33 [size=\"11993088\", alpha=\"0.13\", expect_size=\"5996544\"] \n  33 -> 34 [size =\"5996544\"]\n  34 [size=\"64741376\", alpha=\"0.04\", expect_size=\"32370688\"] \n  34 -> 35 [size =\"32370688\"]\n  35 [size=\"92534784\", alpha=\"0.05\", expect_size=\"46267392\"] \n  35 -> 36 [size =\"46267392\"]\n  36 [size=\"77658112\", alpha=\"0.14\", expect_size=\"38829056\"] \n  36 -> 37 [size =\"38829056\"]\n  37 [size=\"24911872\", alpha=\"0.19\", expect_size=\"12455936\"] \n  37 -> 38 [size =\"12455936\"]\n  38 [size=\"59424768\", alpha=\"0.07\", expect_size=\"29712384\"] \n  38 -> 39 [size =\"29712384\"]\n  39 [size=\"61534208\", alpha=\"0.03\", expect_size=\"30767104\"] \n  39 -> 40 [size =\"30767104\"]\n  40 [size=\"40376320\", alpha=\"0.08\", expect_size=\"20188160\"] \n  40 -> 41 [size =\"20188160\"]\n  41 [size=\"81647616\", alpha=\"0.11\", expect_size=\"40823808\"] \n  41 -> 42 [size =\"40823808\"]\n  42 [size=\"70668288\", alpha=\"0.11\", expect_size=\"35334144\"] \n  42 -> 43 [size =\"35334144\"]\n  43 [size=\"53477376\", alpha=\"0.05\", expect_size=\"26738688\"] \n  43 -> 44 [size =\"26738688\"]\n  44 [size=\"18616320\", alpha=\"0.09\", expect_size=\"9308160\"] \n  44 -> 45 [size =\"9308160\"]\n  45 [size=\"36435968\", alpha=\"0.18\", expect_size=\"18217984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103354368\", alpha=\"0.19\", expect_size=\"51677184\"] \n  1 -> 3 [size =\"51677184\"]\n  2 [size=\"75593728\", alpha=\"0.11\", expect_size=\"37796864\"] \n  2 -> 3 [size =\"37796864\"]\n  2 -> 4 [size =\"37796864\"]\n  3 [size=\"50790400\", alpha=\"0.03\", expect_size=\"25395200\"] \n  3 -> 5 [size =\"25395200\"]\n  4 [size=\"23584768\", alpha=\"0.13\", expect_size=\"11792384\"] \n  4 -> 5 [size =\"11792384\"]\n  4 -> 6 [size =\"11792384\"]\n  5 [size=\"18784256\", alpha=\"0.19\", expect_size=\"9392128\"] \n  5 -> 7 [size =\"9392128\"]\n  5 -> 8 [size =\"9392128\"]\n  6 [size=\"65198080\", alpha=\"0.16\", expect_size=\"32599040\"] \n  6 -> 7 [size =\"32599040\"]\n  6 -> 8 [size =\"32599040\"]\n  7 [size=\"89061376\", alpha=\"0.06\", expect_size=\"44530688\"] \n  7 -> 9 [size =\"44530688\"]\n  7 -> 10 [size =\"44530688\"]\n  8 [size=\"34093056\", alpha=\"0.00\", expect_size=\"17046528\"] \n  8 -> 9 [size =\"17046528\"]\n  8 -> 10 [size =\"17046528\"]\n  8 -> 11 [size =\"17046528\"]\n  9 [size=\"53659648\", alpha=\"0.20\", expect_size=\"26829824\"] \n  10 [size=\"84123648\", alpha=\"0.13\", expect_size=\"42061824\"] \n  10 -> 12 [size =\"42061824\"]\n  10 -> 13 [size =\"42061824\"]\n  11 [size=\"31424512\", alpha=\"0.06\", expect_size=\"15712256\"] \n  11 -> 12 [size =\"15712256\"]\n  12 [size=\"26243072\", alpha=\"0.12\", expect_size=\"13121536\"] \n  12 -> 14 [size =\"13121536\"]\n  12 -> 15 [size =\"13121536\"]\n  13 [size=\"77744128\", alpha=\"0.03\", expect_size=\"38872064\"] \n  13 -> 16 [size =\"38872064\"]\n  14 [size=\"90863616\", alpha=\"0.05\", expect_size=\"45431808\"] \n  14 -> 18 [size =\"45431808\"]\n  14 -> 19 [size =\"45431808\"]\n  15 [size=\"59398144\", alpha=\"0.16\", expect_size=\"29699072\"] \n  15 -> 17 [size =\"29699072\"]\n  16 [size=\"54747136\", alpha=\"0.14\", expect_size=\"27373568\"] \n  16 -> 17 [size =\"27373568\"]\n  16 -> 18 [size =\"27373568\"]\n  17 [size=\"36364288\", alpha=\"0.07\", expect_size=\"18182144\"] \n  17 -> 20 [size =\"18182144\"]\n  17 -> 21 [size =\"18182144\"]\n  18 [size=\"66215936\", alpha=\"0.14\", expect_size=\"33107968\"] \n  18 -> 20 [size =\"33107968\"]\n  19 [size=\"67807232\", alpha=\"0.12\", expect_size=\"33903616\"] \n  20 [size=\"66394112\", alpha=\"0.07\", expect_size=\"33197056\"] \n  20 -> 22 [size =\"33197056\"]\n  20 -> 23 [size =\"33197056\"]\n  20 -> 24 [size =\"33197056\"]\n  21 [size=\"34254848\", alpha=\"0.01\", expect_size=\"17127424\"] \n  21 -> 22 [size =\"17127424\"]\n  21 -> 24 [size =\"17127424\"]\n  22 [size=\"61689856\", alpha=\"0.10\", expect_size=\"30844928\"] \n  22 -> 25 [size =\"30844928\"]\n  22 -> 26 [size =\"30844928\"]\n  23 [size=\"24418304\", alpha=\"0.07\", expect_size=\"12209152\"] \n  23 -> 27 [size =\"12209152\"]\n  24 [size=\"36276224\", alpha=\"0.06\", expect_size=\"18138112\"] \n  24 -> 26 [size =\"18138112\"]\n  24 -> 27 [size =\"18138112\"]\n  25 [size=\"60514304\", alpha=\"0.07\", expect_size=\"30257152\"] \n  25 -> 28 [size =\"30257152\"]\n  26 [size=\"41226240\", alpha=\"0.00\", expect_size=\"20613120\"] \n  26 -> 28 [size =\"20613120\"]\n  27 [size=\"12339200\", alpha=\"0.10\", expect_size=\"6169600\"] \n  27 -> 29 [size =\"6169600\"]\n  28 [size=\"45400064\", alpha=\"0.05\", expect_size=\"22700032\"] \n  28 -> 31 [size =\"22700032\"]\n  29 [size=\"19163136\", alpha=\"0.08\", expect_size=\"9581568\"] \n  29 -> 30 [size =\"9581568\"]\n  29 -> 32 [size =\"9581568\"]\n  30 [size=\"76924928\", alpha=\"0.08\", expect_size=\"38462464\"] \n  30 -> 33 [size =\"38462464\"]\n  31 [size=\"15689728\", alpha=\"0.11\", expect_size=\"7844864\"] \n  32 [size=\"22700032\", alpha=\"0.19\", expect_size=\"11350016\"] \n  32 -> 33 [size =\"11350016\"]\n  32 -> 34 [size =\"11350016\"]\n  32 -> 35 [size =\"11350016\"]\n  33 [size=\"68691968\", alpha=\"0.20\", expect_size=\"34345984\"] \n  33 -> 37 [size =\"34345984\"]\n  34 [size=\"99598336\", alpha=\"0.18\", expect_size=\"49799168\"] \n  34 -> 36 [size =\"49799168\"]\n  35 [size=\"34150400\", alpha=\"0.07\", expect_size=\"17075200\"] \n  36 [size=\"69388288\", alpha=\"0.05\", expect_size=\"34694144\"] \n  36 -> 38 [size =\"34694144\"]\n  36 -> 40 [size =\"34694144\"]\n  37 [size=\"71282688\", alpha=\"0.09\", expect_size=\"35641344\"] \n  37 -> 38 [size =\"35641344\"]\n  37 -> 39 [size =\"35641344\"]\n  38 [size=\"24041472\", alpha=\"0.04\", expect_size=\"12020736\"] \n  38 -> 43 [size =\"12020736\"]\n  39 [size=\"45641728\", alpha=\"0.12\", expect_size=\"22820864\"] \n  39 -> 41 [size =\"22820864\"]\n  40 [size=\"84889600\", alpha=\"0.11\", expect_size=\"42444800\"] \n  40 -> 42 [size =\"42444800\"]\n  40 -> 43 [size =\"42444800\"]\n  41 [size=\"26677248\", alpha=\"0.16\", expect_size=\"13338624\"] \n  41 -> 44 [size =\"13338624\"]\n  42 [size=\"80691200\", alpha=\"0.11\", expect_size=\"40345600\"] \n  42 -> 44 [size =\"40345600\"]\n  42 -> 45 [size =\"40345600\"]\n  43 [size=\"73945088\", alpha=\"0.10\", expect_size=\"36972544\"] \n  43 -> 45 [size =\"36972544\"]\n  44 [size=\"73697280\", alpha=\"0.13\", expect_size=\"36848640\"] \n  45 [size=\"65959936\", alpha=\"0.08\", expect_size=\"32979968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53736107\", alpha=\"0.20\", expect_size=\"16120832\"] \n  1 -> 19 [size =\"16120832\"]\n  1 -> 20 [size =\"16120832\"]\n  1 -> 22 [size =\"16120832\"]\n  1 -> 23 [size =\"16120832\"]\n  2 [size=\"34863787\", alpha=\"0.08\", expect_size=\"10459136\"] \n  2 -> 19 [size =\"10459136\"]\n  2 -> 20 [size =\"10459136\"]\n  2 -> 21 [size =\"10459136\"]\n  2 -> 23 [size =\"10459136\"]\n  3 [size=\"53739520\", alpha=\"0.07\", expect_size=\"16121856\"] \n  3 -> 16 [size =\"16121856\"]\n  4 [size=\"30805333\", alpha=\"0.16\", expect_size=\"9241600\"] \n  4 -> 19 [size =\"9241600\"]\n  4 -> 23 [size =\"9241600\"]\n  5 [size=\"25818453\", alpha=\"0.18\", expect_size=\"7745536\"] \n  5 -> 22 [size =\"7745536\"]\n  5 -> 23 [size =\"7745536\"]\n  6 [size=\"91907413\", alpha=\"0.06\", expect_size=\"27572224\"] \n  6 -> 20 [size =\"27572224\"]\n  6 -> 22 [size =\"27572224\"]\n  6 -> 23 [size =\"27572224\"]\n  7 [size=\"55493973\", alpha=\"0.08\", expect_size=\"16648192\"] \n  7 -> 19 [size =\"16648192\"]\n  7 -> 21 [size =\"16648192\"]\n  7 -> 22 [size =\"16648192\"]\n  7 -> 23 [size =\"16648192\"]\n  8 [size=\"18268160\", alpha=\"0.01\", expect_size=\"5480448\"] \n  8 -> 20 [size =\"5480448\"]\n  8 -> 21 [size =\"5480448\"]\n  8 -> 22 [size =\"5480448\"]\n  8 -> 23 [size =\"5480448\"]\n  9 [size=\"150705493\", alpha=\"0.07\", expect_size=\"45211648\"] \n  9 -> 21 [size =\"45211648\"]\n  9 -> 22 [size =\"45211648\"]\n  9 -> 22 [size =\"45211648\"]\n  10 [size=\"92552533\", alpha=\"0.09\", expect_size=\"27765760\"] \n  10 -> 19 [size =\"27765760\"]\n  10 -> 23 [size =\"27765760\"]\n  11 [size=\"172281173\", alpha=\"0.03\", expect_size=\"51684352\"] \n  11 -> 16 [size =\"51684352\"]\n  11 -> 17 [size =\"51684352\"]\n  11 -> 20 [size =\"51684352\"]\n  11 -> 21 [size =\"51684352\"]\n  11 -> 23 [size =\"51684352\"]\n  12 [size=\"170533547\", alpha=\"0.14\", expect_size=\"51160064\"] \n  12 -> 18 [size =\"51160064\"]\n  12 -> 19 [size =\"51160064\"]\n  12 -> 21 [size =\"51160064\"]\n  12 -> 21 [size =\"51160064\"]\n  12 -> 23 [size =\"51160064\"]\n  13 [size=\"75386880\", alpha=\"0.15\", expect_size=\"22616064\"] \n  13 -> 19 [size =\"22616064\"]\n  13 -> 20 [size =\"22616064\"]\n  13 -> 21 [size =\"22616064\"]\n  13 -> 22 [size =\"22616064\"]\n  13 -> 23 [size =\"22616064\"]\n  14 [size=\"127901013\", alpha=\"0.12\", expect_size=\"38370304\"] \n  14 -> 17 [size =\"38370304\"]\n  14 -> 20 [size =\"38370304\"]\n  14 -> 21 [size =\"38370304\"]\n  14 -> 22 [size =\"38370304\"]\n  14 -> 23 [size =\"38370304\"]\n  15 [size=\"93890560\", alpha=\"0.11\", expect_size=\"28167168\"] \n  15 -> 19 [size =\"28167168\"]\n  15 -> 20 [size =\"28167168\"]\n  15 -> 22 [size =\"28167168\"]\n  16 [size=\"76499627\", alpha=\"0.14\", expect_size=\"22949888\"] \n  16 -> 24 [size =\"22949888\"]\n  16 -> 29 [size =\"22949888\"]\n  16 -> 31 [size =\"22949888\"]\n  17 [size=\"127047680\", alpha=\"0.10\", expect_size=\"38114304\"] \n  17 -> 27 [size =\"38114304\"]\n  17 -> 28 [size =\"38114304\"]\n  17 -> 31 [size =\"38114304\"]\n  18 [size=\"34897920\", alpha=\"0.02\", expect_size=\"10469376\"] \n  18 -> 27 [size =\"10469376\"]\n  18 -> 30 [size =\"10469376\"]\n  18 -> 31 [size =\"10469376\"]\n  19 [size=\"44885333\", alpha=\"0.08\", expect_size=\"13465600\"] \n  19 -> 24 [size =\"13465600\"]\n  19 -> 25 [size =\"13465600\"]\n  19 -> 27 [size =\"13465600\"]\n  19 -> 30 [size =\"13465600\"]\n  19 -> 31 [size =\"13465600\"]\n  20 [size=\"101608107\", alpha=\"0.17\", expect_size=\"30482432\"] \n  20 -> 29 [size =\"30482432\"]\n  20 -> 30 [size =\"30482432\"]\n  20 -> 31 [size =\"30482432\"]\n  21 [size=\"17616213\", alpha=\"0.11\", expect_size=\"5284864\"] \n  21 -> 24 [size =\"5284864\"]\n  21 -> 25 [size =\"5284864\"]\n  21 -> 26 [size =\"5284864\"]\n  21 -> 31 [size =\"5284864\"]\n  22 [size=\"44417707\", alpha=\"0.07\", expect_size=\"13325312\"] \n  22 -> 24 [size =\"13325312\"]\n  22 -> 25 [size =\"13325312\"]\n  22 -> 26 [size =\"13325312\"]\n  22 -> 27 [size =\"13325312\"]\n  22 -> 28 [size =\"13325312\"]\n  22 -> 29 [size =\"13325312\"]\n  22 -> 31 [size =\"13325312\"]\n  23 [size=\"156194133\", alpha=\"0.07\", expect_size=\"46858240\"] \n  23 -> 25 [size =\"46858240\"]\n  23 -> 26 [size =\"46858240\"]\n  23 -> 31 [size =\"46858240\"]\n  24 [size=\"117783893\", alpha=\"0.09\", expect_size=\"35335168\"] \n  24 -> 32 [size =\"35335168\"]\n  24 -> 33 [size =\"35335168\"]\n  24 -> 34 [size =\"35335168\"]\n  24 -> 35 [size =\"35335168\"]\n  24 -> 36 [size =\"35335168\"]\n  24 -> 38 [size =\"35335168\"]\n  24 -> 41 [size =\"35335168\"]\n  24 -> 42 [size =\"35335168\"]\n  24 -> 45 [size =\"35335168\"]\n  25 [size=\"51476480\", alpha=\"0.13\", expect_size=\"15442944\"] \n  25 -> 32 [size =\"15442944\"]\n  25 -> 34 [size =\"15442944\"]\n  25 -> 37 [size =\"15442944\"]\n  25 -> 41 [size =\"15442944\"]\n  25 -> 42 [size =\"15442944\"]\n  25 -> 44 [size =\"15442944\"]\n  26 [size=\"140861440\", alpha=\"0.05\", expect_size=\"42258432\"] \n  26 -> 32 [size =\"42258432\"]\n  26 -> 34 [size =\"42258432\"]\n  26 -> 37 [size =\"42258432\"]\n  26 -> 38 [size =\"42258432\"]\n  26 -> 40 [size =\"42258432\"]\n  26 -> 42 [size =\"42258432\"]\n  26 -> 43 [size =\"42258432\"]\n  26 -> 44 [size =\"42258432\"]\n  27 [size=\"90753707\", alpha=\"0.03\", expect_size=\"27226112\"] \n  27 -> 32 [size =\"27226112\"]\n  27 -> 37 [size =\"27226112\"]\n  27 -> 38 [size =\"27226112\"]\n  27 -> 40 [size =\"27226112\"]\n  27 -> 42 [size =\"27226112\"]\n  27 -> 42 [size =\"27226112\"]\n  27 -> 43 [size =\"27226112\"]\n  27 -> 44 [size =\"27226112\"]\n  28 [size=\"168919040\", alpha=\"0.00\", expect_size=\"50675712\"] \n  28 -> 32 [size =\"50675712\"]\n  28 -> 34 [size =\"50675712\"]\n  28 -> 35 [size =\"50675712\"]\n  28 -> 36 [size =\"50675712\"]\n  28 -> 37 [size =\"50675712\"]\n  28 -> 38 [size =\"50675712\"]\n  28 -> 39 [size =\"50675712\"]\n  28 -> 42 [size =\"50675712\"]\n  28 -> 44 [size =\"50675712\"]\n  29 [size=\"25487360\", alpha=\"0.15\", expect_size=\"7646208\"] \n  29 -> 32 [size =\"7646208\"]\n  29 -> 33 [size =\"7646208\"]\n  29 -> 34 [size =\"7646208\"]\n  29 -> 35 [size =\"7646208\"]\n  29 -> 36 [size =\"7646208\"]\n  29 -> 37 [size =\"7646208\"]\n  29 -> 38 [size =\"7646208\"]\n  29 -> 44 [size =\"7646208\"]\n  30 [size=\"91654827\", alpha=\"0.19\", expect_size=\"27496448\"] \n  30 -> 32 [size =\"27496448\"]\n  30 -> 34 [size =\"27496448\"]\n  30 -> 36 [size =\"27496448\"]\n  30 -> 38 [size =\"27496448\"]\n  30 -> 42 [size =\"27496448\"]\n  30 -> 44 [size =\"27496448\"]\n  30 -> 45 [size =\"27496448\"]\n  31 [size=\"71270400\", alpha=\"0.03\", expect_size=\"21381120\"] \n  31 -> 32 [size =\"21381120\"]\n  31 -> 33 [size =\"21381120\"]\n  31 -> 34 [size =\"21381120\"]\n  31 -> 35 [size =\"21381120\"]\n  31 -> 36 [size =\"21381120\"]\n  31 -> 38 [size =\"21381120\"]\n  31 -> 39 [size =\"21381120\"]\n  31 -> 44 [size =\"21381120\"]\n  31 -> 45 [size =\"21381120\"]\n  32 [size=\"157883733\", alpha=\"0.06\", expect_size=\"47365120\"] \n  33 [size=\"54306133\", alpha=\"0.16\", expect_size=\"16291840\"] \n  34 [size=\"111380480\", alpha=\"0.01\", expect_size=\"33414144\"] \n  35 [size=\"27863040\", alpha=\"0.15\", expect_size=\"8358912\"] \n  36 [size=\"126672213\", alpha=\"0.17\", expect_size=\"38001664\"] \n  37 [size=\"167666347\", alpha=\"0.13\", expect_size=\"50299904\"] \n  38 [size=\"31580160\", alpha=\"0.11\", expect_size=\"9474048\"] \n  39 [size=\"33781760\", alpha=\"0.13\", expect_size=\"10134528\"] \n  40 [size=\"150217387\", alpha=\"0.05\", expect_size=\"45065216\"] \n  41 [size=\"141387093\", alpha=\"0.17\", expect_size=\"42416128\"] \n  42 [size=\"162102613\", alpha=\"0.13\", expect_size=\"48630784\"] \n  43 [size=\"50848427\", alpha=\"0.06\", expect_size=\"15254528\"] \n  44 [size=\"22821547\", alpha=\"0.12\", expect_size=\"6846464\"] \n  45 [size=\"31167147\", alpha=\"0.02\", expect_size=\"9350144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128208213\", alpha=\"0.02\", expect_size=\"38462464\"] \n  1 -> 44 [size =\"38462464\"]\n  2 [size=\"117821440\", alpha=\"0.04\", expect_size=\"35346432\"] \n  2 -> 42 [size =\"35346432\"]\n  2 -> 44 [size =\"35346432\"]\n  3 [size=\"39734613\", alpha=\"0.15\", expect_size=\"11920384\"] \n  3 -> 42 [size =\"11920384\"]\n  3 -> 43 [size =\"11920384\"]\n  3 -> 44 [size =\"11920384\"]\n  3 -> 45 [size =\"11920384\"]\n  4 [size=\"152279040\", alpha=\"0.03\", expect_size=\"45683712\"] \n  4 -> 42 [size =\"45683712\"]\n  4 -> 44 [size =\"45683712\"]\n  4 -> 44 [size =\"45683712\"]\n  5 [size=\"63317333\", alpha=\"0.08\", expect_size=\"18995200\"] \n  5 -> 42 [size =\"18995200\"]\n  6 [size=\"17605973\", alpha=\"0.15\", expect_size=\"5281792\"] \n  6 -> 42 [size =\"5281792\"]\n  6 -> 44 [size =\"5281792\"]\n  7 [size=\"133317973\", alpha=\"0.12\", expect_size=\"39995392\"] \n  7 -> 41 [size =\"39995392\"]\n  7 -> 42 [size =\"39995392\"]\n  7 -> 43 [size =\"39995392\"]\n  7 -> 44 [size =\"39995392\"]\n  8 [size=\"101120000\", alpha=\"0.19\", expect_size=\"30336000\"] \n  8 -> 41 [size =\"30336000\"]\n  8 -> 42 [size =\"30336000\"]\n  9 [size=\"171461973\", alpha=\"0.10\", expect_size=\"51438592\"] \n  10 [size=\"162474667\", alpha=\"0.07\", expect_size=\"48742400\"] \n  11 [size=\"73615360\", alpha=\"0.19\", expect_size=\"22084608\"] \n  11 -> 42 [size =\"22084608\"]\n  11 -> 44 [size =\"22084608\"]\n  12 [size=\"87569067\", alpha=\"0.13\", expect_size=\"26270720\"] \n  12 -> 42 [size =\"26270720\"]\n  12 -> 44 [size =\"26270720\"]\n  13 [size=\"117258240\", alpha=\"0.15\", expect_size=\"35177472\"] \n  13 -> 42 [size =\"35177472\"]\n  13 -> 44 [size =\"35177472\"]\n  14 [size=\"75629227\", alpha=\"0.07\", expect_size=\"22688768\"] \n  14 -> 42 [size =\"22688768\"]\n  14 -> 43 [size =\"22688768\"]\n  15 [size=\"102594560\", alpha=\"0.11\", expect_size=\"30778368\"] \n  15 -> 42 [size =\"30778368\"]\n  15 -> 43 [size =\"30778368\"]\n  15 -> 44 [size =\"30778368\"]\n  15 -> 45 [size =\"30778368\"]\n  16 [size=\"164911787\", alpha=\"0.16\", expect_size=\"49473536\"] \n  16 -> 42 [size =\"49473536\"]\n  16 -> 44 [size =\"49473536\"]\n  16 -> 45 [size =\"49473536\"]\n  16 -> 45 [size =\"49473536\"]\n  17 [size=\"129228800\", alpha=\"0.04\", expect_size=\"38768640\"] \n  17 -> 42 [size =\"38768640\"]\n  17 -> 44 [size =\"38768640\"]\n  18 [size=\"69338453\", alpha=\"0.01\", expect_size=\"20801536\"] \n  18 -> 42 [size =\"20801536\"]\n  18 -> 43 [size =\"20801536\"]\n  18 -> 44 [size =\"20801536\"]\n  19 [size=\"58395307\", alpha=\"0.10\", expect_size=\"17518592\"] \n  19 -> 42 [size =\"17518592\"]\n  19 -> 43 [size =\"17518592\"]\n  19 -> 45 [size =\"17518592\"]\n  20 [size=\"135922347\", alpha=\"0.01\", expect_size=\"40776704\"] \n  21 [size=\"30999893\", alpha=\"0.06\", expect_size=\"9299968\"] \n  21 -> 43 [size =\"9299968\"]\n  21 -> 44 [size =\"9299968\"]\n  21 -> 45 [size =\"9299968\"]\n  22 [size=\"26569387\", alpha=\"0.04\", expect_size=\"7970816\"] \n  22 -> 42 [size =\"7970816\"]\n  22 -> 44 [size =\"7970816\"]\n  23 [size=\"132454400\", alpha=\"0.05\", expect_size=\"39736320\"] \n  23 -> 42 [size =\"39736320\"]\n  23 -> 44 [size =\"39736320\"]\n  24 [size=\"89422507\", alpha=\"0.03\", expect_size=\"26826752\"] \n  24 -> 42 [size =\"26826752\"]\n  24 -> 43 [size =\"26826752\"]\n  24 -> 44 [size =\"26826752\"]\n  25 [size=\"144448853\", alpha=\"0.07\", expect_size=\"43334656\"] \n  25 -> 42 [size =\"43334656\"]\n  25 -> 44 [size =\"43334656\"]\n  25 -> 44 [size =\"43334656\"]\n  26 [size=\"71717547\", alpha=\"0.10\", expect_size=\"21515264\"] \n  26 -> 42 [size =\"21515264\"]\n  26 -> 44 [size =\"21515264\"]\n  27 [size=\"39567360\", alpha=\"0.09\", expect_size=\"11870208\"] \n  27 -> 42 [size =\"11870208\"]\n  27 -> 44 [size =\"11870208\"]\n  27 -> 45 [size =\"11870208\"]\n  28 [size=\"71724373\", alpha=\"0.18\", expect_size=\"21517312\"] \n  28 -> 44 [size =\"21517312\"]\n  28 -> 44 [size =\"21517312\"]\n  29 [size=\"80083627\", alpha=\"0.07\", expect_size=\"24025088\"] \n  29 -> 42 [size =\"24025088\"]\n  29 -> 43 [size =\"24025088\"]\n  29 -> 44 [size =\"24025088\"]\n  30 [size=\"155344213\", alpha=\"0.14\", expect_size=\"46603264\"] \n  31 [size=\"161102507\", alpha=\"0.08\", expect_size=\"48330752\"] \n  32 [size=\"50807467\", alpha=\"0.12\", expect_size=\"15242240\"] \n  32 -> 44 [size =\"15242240\"]\n  32 -> 45 [size =\"15242240\"]\n  33 [size=\"82090667\", alpha=\"0.08\", expect_size=\"24627200\"] \n  33 -> 42 [size =\"24627200\"]\n  33 -> 44 [size =\"24627200\"]\n  33 -> 45 [size =\"24627200\"]\n  34 [size=\"119927467\", alpha=\"0.11\", expect_size=\"35978240\"] \n  34 -> 42 [size =\"35978240\"]\n  34 -> 44 [size =\"35978240\"]\n  35 [size=\"141834240\", alpha=\"0.05\", expect_size=\"42550272\"] \n  35 -> 42 [size =\"42550272\"]\n  35 -> 44 [size =\"42550272\"]\n  36 [size=\"36372480\", alpha=\"0.18\", expect_size=\"10911744\"] \n  36 -> 44 [size =\"10911744\"]\n  37 [size=\"118241280\", alpha=\"0.05\", expect_size=\"35472384\"] \n  37 -> 42 [size =\"35472384\"]\n  37 -> 44 [size =\"35472384\"]\n  38 [size=\"31429973\", alpha=\"0.19\", expect_size=\"9428992\"] \n  38 -> 42 [size =\"9428992\"]\n  38 -> 43 [size =\"9428992\"]\n  39 [size=\"174155093\", alpha=\"0.18\", expect_size=\"52246528\"] \n  40 [size=\"71256747\", alpha=\"0.12\", expect_size=\"21377024\"] \n  40 -> 44 [size =\"21377024\"]\n  41 [size=\"25023147\", alpha=\"0.08\", expect_size=\"7506944\"] \n  42 [size=\"91593387\", alpha=\"0.04\", expect_size=\"27478016\"] \n  43 [size=\"26487467\", alpha=\"0.16\", expect_size=\"7946240\"] \n  44 [size=\"86773760\", alpha=\"0.16\", expect_size=\"26032128\"] \n  45 [size=\"173325653\", alpha=\"0.13\", expect_size=\"51997696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109040640\", alpha=\"0.09\", expect_size=\"43616256\"] \n  1 -> 29 [size =\"43616256\"]\n  1 -> 31 [size =\"43616256\"]\n  1 -> 32 [size =\"43616256\"]\n  1 -> 33 [size =\"43616256\"]\n  1 -> 34 [size =\"43616256\"]\n  1 -> 36 [size =\"43616256\"]\n  1 -> 39 [size =\"43616256\"]\n  1 -> 45 [size =\"43616256\"]\n  2 [size=\"82032640\", alpha=\"0.06\", expect_size=\"32813056\"] \n  2 -> 29 [size =\"32813056\"]\n  2 -> 30 [size =\"32813056\"]\n  2 -> 31 [size =\"32813056\"]\n  2 -> 34 [size =\"32813056\"]\n  2 -> 36 [size =\"32813056\"]\n  2 -> 37 [size =\"32813056\"]\n  2 -> 38 [size =\"32813056\"]\n  2 -> 39 [size =\"32813056\"]\n  2 -> 41 [size =\"32813056\"]\n  2 -> 42 [size =\"32813056\"]\n  3 [size=\"43548160\", alpha=\"0.05\", expect_size=\"17419264\"] \n  3 -> 30 [size =\"17419264\"]\n  3 -> 34 [size =\"17419264\"]\n  3 -> 35 [size =\"17419264\"]\n  3 -> 39 [size =\"17419264\"]\n  3 -> 40 [size =\"17419264\"]\n  3 -> 42 [size =\"17419264\"]\n  3 -> 43 [size =\"17419264\"]\n  4 [size=\"35223040\", alpha=\"0.16\", expect_size=\"14089216\"] \n  4 -> 32 [size =\"14089216\"]\n  4 -> 34 [size =\"14089216\"]\n  4 -> 36 [size =\"14089216\"]\n  4 -> 37 [size =\"14089216\"]\n  4 -> 42 [size =\"14089216\"]\n  4 -> 43 [size =\"14089216\"]\n  4 -> 45 [size =\"14089216\"]\n  5 [size=\"105420800\", alpha=\"0.15\", expect_size=\"42168320\"] \n  5 -> 29 [size =\"42168320\"]\n  5 -> 30 [size =\"42168320\"]\n  5 -> 40 [size =\"42168320\"]\n  5 -> 42 [size =\"42168320\"]\n  5 -> 43 [size =\"42168320\"]\n  6 [size=\"17681920\", alpha=\"0.02\", expect_size=\"7072768\"] \n  6 -> 31 [size =\"7072768\"]\n  6 -> 32 [size =\"7072768\"]\n  6 -> 34 [size =\"7072768\"]\n  6 -> 40 [size =\"7072768\"]\n  6 -> 45 [size =\"7072768\"]\n  7 [size=\"118384640\", alpha=\"0.11\", expect_size=\"47353856\"] \n  7 -> 30 [size =\"47353856\"]\n  7 -> 34 [size =\"47353856\"]\n  7 -> 35 [size =\"47353856\"]\n  7 -> 37 [size =\"47353856\"]\n  7 -> 41 [size =\"47353856\"]\n  7 -> 43 [size =\"47353856\"]\n  7 -> 45 [size =\"47353856\"]\n  8 [size=\"47009280\", alpha=\"0.18\", expect_size=\"18803712\"] \n  8 -> 29 [size =\"18803712\"]\n  8 -> 30 [size =\"18803712\"]\n  8 -> 35 [size =\"18803712\"]\n  8 -> 37 [size =\"18803712\"]\n  8 -> 39 [size =\"18803712\"]\n  8 -> 43 [size =\"18803712\"]\n  9 [size=\"61998080\", alpha=\"0.14\", expect_size=\"24799232\"] \n  9 -> 35 [size =\"24799232\"]\n  9 -> 36 [size =\"24799232\"]\n  9 -> 39 [size =\"24799232\"]\n  9 -> 41 [size =\"24799232\"]\n  9 -> 42 [size =\"24799232\"]\n  9 -> 43 [size =\"24799232\"]\n  10 [size=\"21189120\", alpha=\"0.15\", expect_size=\"8475648\"] \n  10 -> 30 [size =\"8475648\"]\n  10 -> 35 [size =\"8475648\"]\n  10 -> 40 [size =\"8475648\"]\n  10 -> 41 [size =\"8475648\"]\n  10 -> 42 [size =\"8475648\"]\n  10 -> 44 [size =\"8475648\"]\n  11 [size=\"111413760\", alpha=\"0.11\", expect_size=\"44565504\"] \n  11 -> 33 [size =\"44565504\"]\n  11 -> 36 [size =\"44565504\"]\n  11 -> 38 [size =\"44565504\"]\n  12 [size=\"47843840\", alpha=\"0.09\", expect_size=\"19137536\"] \n  12 -> 30 [size =\"19137536\"]\n  12 -> 34 [size =\"19137536\"]\n  12 -> 35 [size =\"19137536\"]\n  12 -> 36 [size =\"19137536\"]\n  12 -> 37 [size =\"19137536\"]\n  12 -> 40 [size =\"19137536\"]\n  13 [size=\"81346560\", alpha=\"0.04\", expect_size=\"32538624\"] \n  13 -> 29 [size =\"32538624\"]\n  13 -> 30 [size =\"32538624\"]\n  13 -> 32 [size =\"32538624\"]\n  13 -> 35 [size =\"32538624\"]\n  13 -> 37 [size =\"32538624\"]\n  13 -> 40 [size =\"32538624\"]\n  13 -> 43 [size =\"32538624\"]\n  13 -> 45 [size =\"32538624\"]\n  14 [size=\"112076800\", alpha=\"0.13\", expect_size=\"44830720\"] \n  14 -> 29 [size =\"44830720\"]\n  14 -> 30 [size =\"44830720\"]\n  14 -> 35 [size =\"44830720\"]\n  14 -> 37 [size =\"44830720\"]\n  14 -> 40 [size =\"44830720\"]\n  14 -> 42 [size =\"44830720\"]\n  14 -> 43 [size =\"44830720\"]\n  15 [size=\"86407680\", alpha=\"0.15\", expect_size=\"34563072\"] \n  15 -> 28 [size =\"34563072\"]\n  15 -> 30 [size =\"34563072\"]\n  15 -> 35 [size =\"34563072\"]\n  15 -> 37 [size =\"34563072\"]\n  15 -> 40 [size =\"34563072\"]\n  15 -> 41 [size =\"34563072\"]\n  15 -> 42 [size =\"34563072\"]\n  15 -> 45 [size =\"34563072\"]\n  16 [size=\"59082240\", alpha=\"0.18\", expect_size=\"23632896\"] \n  16 -> 30 [size =\"23632896\"]\n  16 -> 30 [size =\"23632896\"]\n  16 -> 37 [size =\"23632896\"]\n  16 -> 37 [size =\"23632896\"]\n  16 -> 40 [size =\"23632896\"]\n  16 -> 41 [size =\"23632896\"]\n  16 -> 42 [size =\"23632896\"]\n  17 [size=\"71764480\", alpha=\"0.09\", expect_size=\"28705792\"] \n  17 -> 42 [size =\"28705792\"]\n  17 -> 43 [size =\"28705792\"]\n  18 [size=\"17226240\", alpha=\"0.05\", expect_size=\"6890496\"] \n  18 -> 34 [size =\"6890496\"]\n  18 -> 41 [size =\"6890496\"]\n  18 -> 44 [size =\"6890496\"]\n  19 [size=\"123911680\", alpha=\"0.12\", expect_size=\"49564672\"] \n  19 -> 29 [size =\"49564672\"]\n  19 -> 31 [size =\"49564672\"]\n  19 -> 34 [size =\"49564672\"]\n  19 -> 36 [size =\"49564672\"]\n  19 -> 37 [size =\"49564672\"]\n  20 [size=\"88089600\", alpha=\"0.08\", expect_size=\"35235840\"] \n  20 -> 34 [size =\"35235840\"]\n  21 [size=\"59379200\", alpha=\"0.00\", expect_size=\"23751680\"] \n  21 -> 36 [size =\"23751680\"]\n  21 -> 45 [size =\"23751680\"]\n  22 [size=\"123074560\", alpha=\"0.05\", expect_size=\"49229824\"] \n  22 -> 34 [size =\"49229824\"]\n  22 -> 36 [size =\"49229824\"]\n  22 -> 38 [size =\"49229824\"]\n  22 -> 39 [size =\"49229824\"]\n  22 -> 42 [size =\"49229824\"]\n  22 -> 43 [size =\"49229824\"]\n  23 [size=\"60359680\", alpha=\"0.14\", expect_size=\"24143872\"] \n  23 -> 30 [size =\"24143872\"]\n  23 -> 31 [size =\"24143872\"]\n  23 -> 36 [size =\"24143872\"]\n  23 -> 40 [size =\"24143872\"]\n  23 -> 42 [size =\"24143872\"]\n  23 -> 43 [size =\"24143872\"]\n  24 [size=\"83591680\", alpha=\"0.07\", expect_size=\"33436672\"] \n  24 -> 30 [size =\"33436672\"]\n  24 -> 31 [size =\"33436672\"]\n  24 -> 34 [size =\"33436672\"]\n  24 -> 35 [size =\"33436672\"]\n  24 -> 36 [size =\"33436672\"]\n  24 -> 37 [size =\"33436672\"]\n  24 -> 39 [size =\"33436672\"]\n  24 -> 41 [size =\"33436672\"]\n  24 -> 45 [size =\"33436672\"]\n  25 [size=\"39959040\", alpha=\"0.16\", expect_size=\"15983616\"] \n  25 -> 31 [size =\"15983616\"]\n  25 -> 36 [size =\"15983616\"]\n  25 -> 37 [size =\"15983616\"]\n  25 -> 40 [size =\"15983616\"]\n  25 -> 45 [size =\"15983616\"]\n  26 [size=\"127925760\", alpha=\"0.05\", expect_size=\"51170304\"] \n  26 -> 34 [size =\"51170304\"]\n  26 -> 35 [size =\"51170304\"]\n  26 -> 36 [size =\"51170304\"]\n  26 -> 37 [size =\"51170304\"]\n  26 -> 39 [size =\"51170304\"]\n  26 -> 45 [size =\"51170304\"]\n  27 [size=\"116175360\", alpha=\"0.13\", expect_size=\"46470144\"] \n  27 -> 35 [size =\"46470144\"]\n  27 -> 39 [size =\"46470144\"]\n  27 -> 45 [size =\"46470144\"]\n  28 [size=\"48942080\", alpha=\"0.06\", expect_size=\"19576832\"] \n  29 [size=\"78748160\", alpha=\"0.07\", expect_size=\"31499264\"] \n  30 [size=\"29977600\", alpha=\"0.10\", expect_size=\"11991040\"] \n  31 [size=\"76889600\", alpha=\"0.09\", expect_size=\"30755840\"] \n  32 [size=\"79482880\", alpha=\"0.15\", expect_size=\"31793152\"] \n  33 [size=\"106685440\", alpha=\"0.12\", expect_size=\"42674176\"] \n  34 [size=\"70976000\", alpha=\"0.05\", expect_size=\"28390400\"] \n  35 [size=\"112435200\", alpha=\"0.11\", expect_size=\"44974080\"] \n  36 [size=\"87449600\", alpha=\"0.05\", expect_size=\"34979840\"] \n  37 [size=\"118558720\", alpha=\"0.09\", expect_size=\"47423488\"] \n  38 [size=\"75110400\", alpha=\"0.14\", expect_size=\"30044160\"] \n  39 [size=\"108974080\", alpha=\"0.17\", expect_size=\"43589632\"] \n  40 [size=\"33113600\", alpha=\"0.13\", expect_size=\"13245440\"] \n  41 [size=\"91537920\", alpha=\"0.17\", expect_size=\"36615168\"] \n  42 [size=\"28664320\", alpha=\"0.19\", expect_size=\"11465728\"] \n  43 [size=\"115159040\", alpha=\"0.10\", expect_size=\"46063616\"] \n  44 [size=\"65364480\", alpha=\"0.12\", expect_size=\"26145792\"] \n  45 [size=\"96222720\", alpha=\"0.19\", expect_size=\"38489088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121177600\", alpha=\"0.17\", expect_size=\"48471040\"] \n  1 -> 30 [size =\"48471040\"]\n  1 -> 35 [size =\"48471040\"]\n  1 -> 36 [size =\"48471040\"]\n  1 -> 37 [size =\"48471040\"]\n  1 -> 38 [size =\"48471040\"]\n  1 -> 40 [size =\"48471040\"]\n  1 -> 45 [size =\"48471040\"]\n  2 [size=\"15833600\", alpha=\"0.07\", expect_size=\"6333440\"] \n  2 -> 30 [size =\"6333440\"]\n  2 -> 32 [size =\"6333440\"]\n  2 -> 33 [size =\"6333440\"]\n  2 -> 36 [size =\"6333440\"]\n  2 -> 37 [size =\"6333440\"]\n  2 -> 38 [size =\"6333440\"]\n  2 -> 43 [size =\"6333440\"]\n  2 -> 44 [size =\"6333440\"]\n  3 [size=\"56253440\", alpha=\"0.06\", expect_size=\"22501376\"] \n  3 -> 30 [size =\"22501376\"]\n  3 -> 32 [size =\"22501376\"]\n  3 -> 37 [size =\"22501376\"]\n  3 -> 40 [size =\"22501376\"]\n  4 [size=\"13990400\", alpha=\"0.08\", expect_size=\"5596160\"] \n  4 -> 36 [size =\"5596160\"]\n  4 -> 37 [size =\"5596160\"]\n  4 -> 38 [size =\"5596160\"]\n  4 -> 39 [size =\"5596160\"]\n  4 -> 43 [size =\"5596160\"]\n  5 [size=\"102924800\", alpha=\"0.03\", expect_size=\"41169920\"] \n  5 -> 34 [size =\"41169920\"]\n  5 -> 35 [size =\"41169920\"]\n  5 -> 40 [size =\"41169920\"]\n  6 [size=\"79436800\", alpha=\"0.09\", expect_size=\"31774720\"] \n  6 -> 30 [size =\"31774720\"]\n  6 -> 33 [size =\"31774720\"]\n  6 -> 35 [size =\"31774720\"]\n  6 -> 37 [size =\"31774720\"]\n  6 -> 38 [size =\"31774720\"]\n  6 -> 40 [size =\"31774720\"]\n  6 -> 41 [size =\"31774720\"]\n  7 [size=\"75791360\", alpha=\"0.19\", expect_size=\"30316544\"] \n  7 -> 30 [size =\"30316544\"]\n  7 -> 33 [size =\"30316544\"]\n  7 -> 35 [size =\"30316544\"]\n  7 -> 37 [size =\"30316544\"]\n  7 -> 38 [size =\"30316544\"]\n  7 -> 39 [size =\"30316544\"]\n  7 -> 40 [size =\"30316544\"]\n  7 -> 41 [size =\"30316544\"]\n  7 -> 43 [size =\"30316544\"]\n  7 -> 44 [size =\"30316544\"]\n  8 [size=\"15818240\", alpha=\"0.07\", expect_size=\"6327296\"] \n  8 -> 32 [size =\"6327296\"]\n  8 -> 35 [size =\"6327296\"]\n  8 -> 36 [size =\"6327296\"]\n  8 -> 37 [size =\"6327296\"]\n  8 -> 40 [size =\"6327296\"]\n  9 [size=\"110589440\", alpha=\"0.08\", expect_size=\"44235776\"] \n  9 -> 33 [size =\"44235776\"]\n  9 -> 34 [size =\"44235776\"]\n  9 -> 36 [size =\"44235776\"]\n  9 -> 43 [size =\"44235776\"]\n  9 -> 45 [size =\"44235776\"]\n  10 [size=\"35217920\", alpha=\"0.13\", expect_size=\"14087168\"] \n  10 -> 33 [size =\"14087168\"]\n  10 -> 36 [size =\"14087168\"]\n  10 -> 37 [size =\"14087168\"]\n  10 -> 39 [size =\"14087168\"]\n  10 -> 45 [size =\"14087168\"]\n  11 [size=\"104778240\", alpha=\"0.11\", expect_size=\"41911296\"] \n  11 -> 38 [size =\"41911296\"]\n  11 -> 39 [size =\"41911296\"]\n  11 -> 43 [size =\"41911296\"]\n  11 -> 44 [size =\"41911296\"]\n  11 -> 45 [size =\"41911296\"]\n  12 [size=\"84449280\", alpha=\"0.14\", expect_size=\"33779712\"] \n  12 -> 30 [size =\"33779712\"]\n  12 -> 35 [size =\"33779712\"]\n  12 -> 38 [size =\"33779712\"]\n  12 -> 40 [size =\"33779712\"]\n  12 -> 41 [size =\"33779712\"]\n  12 -> 43 [size =\"33779712\"]\n  12 -> 44 [size =\"33779712\"]\n  12 -> 45 [size =\"33779712\"]\n  13 [size=\"128366080\", alpha=\"0.02\", expect_size=\"51346432\"] \n  13 -> 30 [size =\"51346432\"]\n  13 -> 33 [size =\"51346432\"]\n  13 -> 36 [size =\"51346432\"]\n  13 -> 38 [size =\"51346432\"]\n  13 -> 39 [size =\"51346432\"]\n  13 -> 40 [size =\"51346432\"]\n  13 -> 42 [size =\"51346432\"]\n  13 -> 43 [size =\"51346432\"]\n  14 [size=\"43115520\", alpha=\"0.07\", expect_size=\"17246208\"] \n  14 -> 29 [size =\"17246208\"]\n  14 -> 34 [size =\"17246208\"]\n  14 -> 36 [size =\"17246208\"]\n  14 -> 37 [size =\"17246208\"]\n  14 -> 38 [size =\"17246208\"]\n  14 -> 39 [size =\"17246208\"]\n  14 -> 43 [size =\"17246208\"]\n  15 [size=\"88355840\", alpha=\"0.08\", expect_size=\"35342336\"] \n  15 -> 30 [size =\"35342336\"]\n  15 -> 39 [size =\"35342336\"]\n  15 -> 40 [size =\"35342336\"]\n  15 -> 43 [size =\"35342336\"]\n  15 -> 44 [size =\"35342336\"]\n  15 -> 45 [size =\"35342336\"]\n  16 [size=\"103531520\", alpha=\"0.18\", expect_size=\"41412608\"] \n  16 -> 32 [size =\"41412608\"]\n  16 -> 45 [size =\"41412608\"]\n  17 [size=\"36021760\", alpha=\"0.11\", expect_size=\"14408704\"] \n  17 -> 37 [size =\"14408704\"]\n  17 -> 40 [size =\"14408704\"]\n  18 [size=\"28838400\", alpha=\"0.06\", expect_size=\"11535360\"] \n  18 -> 33 [size =\"11535360\"]\n  18 -> 35 [size =\"11535360\"]\n  18 -> 37 [size =\"11535360\"]\n  18 -> 43 [size =\"11535360\"]\n  19 [size=\"71063040\", alpha=\"0.11\", expect_size=\"28425216\"] \n  19 -> 30 [size =\"28425216\"]\n  19 -> 33 [size =\"28425216\"]\n  19 -> 36 [size =\"28425216\"]\n  19 -> 39 [size =\"28425216\"]\n  19 -> 43 [size =\"28425216\"]\n  19 -> 45 [size =\"28425216\"]\n  20 [size=\"115317760\", alpha=\"0.11\", expect_size=\"46127104\"] \n  20 -> 33 [size =\"46127104\"]\n  20 -> 38 [size =\"46127104\"]\n  20 -> 43 [size =\"46127104\"]\n  20 -> 45 [size =\"46127104\"]\n  21 [size=\"74112000\", alpha=\"0.10\", expect_size=\"29644800\"] \n  21 -> 30 [size =\"29644800\"]\n  21 -> 31 [size =\"29644800\"]\n  21 -> 35 [size =\"29644800\"]\n  21 -> 38 [size =\"29644800\"]\n  21 -> 40 [size =\"29644800\"]\n  21 -> 43 [size =\"29644800\"]\n  21 -> 44 [size =\"29644800\"]\n  21 -> 45 [size =\"29644800\"]\n  22 [size=\"23669760\", alpha=\"0.10\", expect_size=\"9467904\"] \n  22 -> 35 [size =\"9467904\"]\n  22 -> 36 [size =\"9467904\"]\n  22 -> 37 [size =\"9467904\"]\n  22 -> 43 [size =\"9467904\"]\n  22 -> 44 [size =\"9467904\"]\n  22 -> 45 [size =\"9467904\"]\n  23 [size=\"108661760\", alpha=\"0.16\", expect_size=\"43464704\"] \n  23 -> 36 [size =\"43464704\"]\n  23 -> 37 [size =\"43464704\"]\n  23 -> 45 [size =\"43464704\"]\n  24 [size=\"122286080\", alpha=\"0.03\", expect_size=\"48914432\"] \n  24 -> 32 [size =\"48914432\"]\n  24 -> 36 [size =\"48914432\"]\n  24 -> 37 [size =\"48914432\"]\n  24 -> 45 [size =\"48914432\"]\n  25 [size=\"45340160\", alpha=\"0.05\", expect_size=\"18136064\"] \n  25 -> 30 [size =\"18136064\"]\n  25 -> 34 [size =\"18136064\"]\n  25 -> 36 [size =\"18136064\"]\n  25 -> 38 [size =\"18136064\"]\n  25 -> 40 [size =\"18136064\"]\n  25 -> 44 [size =\"18136064\"]\n  25 -> 45 [size =\"18136064\"]\n  26 [size=\"89943040\", alpha=\"0.19\", expect_size=\"35977216\"] \n  26 -> 30 [size =\"35977216\"]\n  26 -> 33 [size =\"35977216\"]\n  26 -> 37 [size =\"35977216\"]\n  26 -> 38 [size =\"35977216\"]\n  26 -> 40 [size =\"35977216\"]\n  26 -> 45 [size =\"35977216\"]\n  27 [size=\"79787520\", alpha=\"0.03\", expect_size=\"31915008\"] \n  27 -> 30 [size =\"31915008\"]\n  27 -> 32 [size =\"31915008\"]\n  27 -> 33 [size =\"31915008\"]\n  27 -> 40 [size =\"31915008\"]\n  27 -> 45 [size =\"31915008\"]\n  28 [size=\"26178560\", alpha=\"0.07\", expect_size=\"10471424\"] \n  28 -> 30 [size =\"10471424\"]\n  28 -> 36 [size =\"10471424\"]\n  28 -> 37 [size =\"10471424\"]\n  28 -> 39 [size =\"10471424\"]\n  28 -> 40 [size =\"10471424\"]\n  28 -> 44 [size =\"10471424\"]\n  28 -> 45 [size =\"10471424\"]\n  29 [size=\"63864320\", alpha=\"0.08\", expect_size=\"25545728\"] \n  30 [size=\"126960640\", alpha=\"0.13\", expect_size=\"50784256\"] \n  31 [size=\"75819520\", alpha=\"0.13\", expect_size=\"30327808\"] \n  32 [size=\"18516480\", alpha=\"0.06\", expect_size=\"7406592\"] \n  33 [size=\"75740160\", alpha=\"0.17\", expect_size=\"30296064\"] \n  34 [size=\"54712320\", alpha=\"0.14\", expect_size=\"21884928\"] \n  35 [size=\"74280960\", alpha=\"0.04\", expect_size=\"29712384\"] \n  36 [size=\"106298880\", alpha=\"0.09\", expect_size=\"42519552\"] \n  37 [size=\"99136000\", alpha=\"0.18\", expect_size=\"39654400\"] \n  38 [size=\"115473920\", alpha=\"0.10\", expect_size=\"46189568\"] \n  39 [size=\"40064000\", alpha=\"0.11\", expect_size=\"16025600\"] \n  40 [size=\"88353280\", alpha=\"0.10\", expect_size=\"35341312\"] \n  41 [size=\"46522880\", alpha=\"0.19\", expect_size=\"18609152\"] \n  42 [size=\"124213760\", alpha=\"0.10\", expect_size=\"49685504\"] \n  43 [size=\"38871040\", alpha=\"0.17\", expect_size=\"15548416\"] \n  44 [size=\"23720960\", alpha=\"0.03\", expect_size=\"9488384\"] \n  45 [size=\"108774400\", alpha=\"0.14\", expect_size=\"43509760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70384640\", alpha=\"0.16\", expect_size=\"28153856\"] \n  1 -> 10 [size =\"28153856\"]\n  1 -> 11 [size =\"28153856\"]\n  1 -> 12 [size =\"28153856\"]\n  2 [size=\"112422400\", alpha=\"0.20\", expect_size=\"44968960\"] \n  2 -> 11 [size =\"44968960\"]\n  3 [size=\"102456320\", alpha=\"0.00\", expect_size=\"40982528\"] \n  4 [size=\"25640960\", alpha=\"0.15\", expect_size=\"10256384\"] \n  4 -> 10 [size =\"10256384\"]\n  4 -> 12 [size =\"10256384\"]\n  5 [size=\"95055360\", alpha=\"0.07\", expect_size=\"38022144\"] \n  5 -> 12 [size =\"38022144\"]\n  6 [size=\"106009600\", alpha=\"0.17\", expect_size=\"42403840\"] \n  6 -> 8 [size =\"42403840\"]\n  6 -> 9 [size =\"42403840\"]\n  6 -> 10 [size =\"42403840\"]\n  6 -> 11 [size =\"42403840\"]\n  7 [size=\"104253440\", alpha=\"0.02\", expect_size=\"41701376\"] \n  7 -> 8 [size =\"41701376\"]\n  7 -> 10 [size =\"41701376\"]\n  7 -> 12 [size =\"41701376\"]\n  8 [size=\"113039360\", alpha=\"0.02\", expect_size=\"45215744\"] \n  9 [size=\"44864000\", alpha=\"0.13\", expect_size=\"17945600\"] \n  9 -> 13 [size =\"17945600\"]\n  9 -> 16 [size =\"17945600\"]\n  10 [size=\"127808000\", alpha=\"0.11\", expect_size=\"51123200\"] \n  10 -> 15 [size =\"51123200\"]\n  11 [size=\"124400640\", alpha=\"0.02\", expect_size=\"49760256\"] \n  11 -> 16 [size =\"49760256\"]\n  12 [size=\"101591040\", alpha=\"0.03\", expect_size=\"40636416\"] \n  12 -> 14 [size =\"40636416\"]\n  12 -> 15 [size =\"40636416\"]\n  13 [size=\"101506560\", alpha=\"0.12\", expect_size=\"40602624\"] \n  13 -> 17 [size =\"40602624\"]\n  13 -> 18 [size =\"40602624\"]\n  13 -> 19 [size =\"40602624\"]\n  13 -> 20 [size =\"40602624\"]\n  13 -> 21 [size =\"40602624\"]\n  14 [size=\"102254080\", alpha=\"0.01\", expect_size=\"40901632\"] \n  14 -> 21 [size =\"40901632\"]\n  15 [size=\"74941440\", alpha=\"0.16\", expect_size=\"29976576\"] \n  15 -> 20 [size =\"29976576\"]\n  15 -> 21 [size =\"29976576\"]\n  16 [size=\"117987840\", alpha=\"0.01\", expect_size=\"47195136\"] \n  16 -> 17 [size =\"47195136\"]\n  16 -> 18 [size =\"47195136\"]\n  16 -> 20 [size =\"47195136\"]\n  16 -> 22 [size =\"47195136\"]\n  17 [size=\"99151360\", alpha=\"0.14\", expect_size=\"39660544\"] \n  17 -> 23 [size =\"39660544\"]\n  17 -> 24 [size =\"39660544\"]\n  17 -> 27 [size =\"39660544\"]\n  17 -> 28 [size =\"39660544\"]\n  18 [size=\"109560320\", alpha=\"0.20\", expect_size=\"43824128\"] \n  18 -> 24 [size =\"43824128\"]\n  18 -> 25 [size =\"43824128\"]\n  18 -> 26 [size =\"43824128\"]\n  19 [size=\"119649280\", alpha=\"0.06\", expect_size=\"47859712\"] \n  19 -> 25 [size =\"47859712\"]\n  20 [size=\"78748160\", alpha=\"0.02\", expect_size=\"31499264\"] \n  20 -> 25 [size =\"31499264\"]\n  21 [size=\"23349760\", alpha=\"0.07\", expect_size=\"9339904\"] \n  21 -> 23 [size =\"9339904\"]\n  21 -> 27 [size =\"9339904\"]\n  22 [size=\"35504640\", alpha=\"0.10\", expect_size=\"14201856\"] \n  23 [size=\"52935680\", alpha=\"0.07\", expect_size=\"21174272\"] \n  23 -> 31 [size =\"21174272\"]\n  23 -> 33 [size =\"21174272\"]\n  24 [size=\"124802560\", alpha=\"0.07\", expect_size=\"49921024\"] \n  24 -> 29 [size =\"49921024\"]\n  24 -> 30 [size =\"49921024\"]\n  25 [size=\"130196480\", alpha=\"0.01\", expect_size=\"52078592\"] \n  25 -> 31 [size =\"52078592\"]\n  26 [size=\"106949120\", alpha=\"0.10\", expect_size=\"42779648\"] \n  26 -> 29 [size =\"42779648\"]\n  26 -> 30 [size =\"42779648\"]\n  26 -> 32 [size =\"42779648\"]\n  27 [size=\"113633280\", alpha=\"0.15\", expect_size=\"45453312\"] \n  28 [size=\"76812800\", alpha=\"0.17\", expect_size=\"30725120\"] \n  28 -> 30 [size =\"30725120\"]\n  29 [size=\"74611200\", alpha=\"0.04\", expect_size=\"29844480\"] \n  29 -> 34 [size =\"29844480\"]\n  30 [size=\"110269440\", alpha=\"0.10\", expect_size=\"44107776\"] \n  30 -> 35 [size =\"44107776\"]\n  30 -> 36 [size =\"44107776\"]\n  30 -> 38 [size =\"44107776\"]\n  30 -> 39 [size =\"44107776\"]\n  30 -> 40 [size =\"44107776\"]\n  31 [size=\"121505280\", alpha=\"0.16\", expect_size=\"48602112\"] \n  31 -> 36 [size =\"48602112\"]\n  31 -> 37 [size =\"48602112\"]\n  31 -> 38 [size =\"48602112\"]\n  32 [size=\"47631360\", alpha=\"0.16\", expect_size=\"19052544\"] \n  32 -> 34 [size =\"19052544\"]\n  32 -> 38 [size =\"19052544\"]\n  32 -> 39 [size =\"19052544\"]\n  33 [size=\"105932800\", alpha=\"0.11\", expect_size=\"42373120\"] \n  34 [size=\"31861760\", alpha=\"0.02\", expect_size=\"12744704\"] \n  34 -> 42 [size =\"12744704\"]\n  34 -> 43 [size =\"12744704\"]\n  34 -> 44 [size =\"12744704\"]\n  35 [size=\"73886720\", alpha=\"0.03\", expect_size=\"29554688\"] \n  35 -> 41 [size =\"29554688\"]\n  35 -> 42 [size =\"29554688\"]\n  36 [size=\"78023680\", alpha=\"0.02\", expect_size=\"31209472\"] \n  36 -> 45 [size =\"31209472\"]\n  37 [size=\"19212800\", alpha=\"0.15\", expect_size=\"7685120\"] \n  37 -> 41 [size =\"7685120\"]\n  37 -> 44 [size =\"7685120\"]\n  38 [size=\"106565120\", alpha=\"0.05\", expect_size=\"42626048\"] \n  38 -> 43 [size =\"42626048\"]\n  39 [size=\"86123520\", alpha=\"0.13\", expect_size=\"34449408\"] \n  39 -> 42 [size =\"34449408\"]\n  39 -> 43 [size =\"34449408\"]\n  39 -> 45 [size =\"34449408\"]\n  40 [size=\"107607040\", alpha=\"0.12\", expect_size=\"43042816\"] \n  40 -> 41 [size =\"43042816\"]\n  40 -> 45 [size =\"43042816\"]\n  41 [size=\"49792000\", alpha=\"0.12\", expect_size=\"19916800\"] \n  42 [size=\"23971840\", alpha=\"0.17\", expect_size=\"9588736\"] \n  43 [size=\"118632960\", alpha=\"0.08\", expect_size=\"47453184\"] \n  44 [size=\"68277760\", alpha=\"0.18\", expect_size=\"27311104\"] \n  45 [size=\"80020480\", alpha=\"0.08\", expect_size=\"32008192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91385856\", alpha=\"0.11\", expect_size=\"45692928\"] \n  1 -> 4 [size =\"45692928\"]\n  1 -> 5 [size =\"45692928\"]\n  2 [size=\"29648896\", alpha=\"0.04\", expect_size=\"14824448\"] \n  2 -> 4 [size =\"14824448\"]\n  2 -> 5 [size =\"14824448\"]\n  3 [size=\"11495424\", alpha=\"0.19\", expect_size=\"5747712\"] \n  4 [size=\"11636736\", alpha=\"0.04\", expect_size=\"5818368\"] \n  4 -> 6 [size =\"5818368\"]\n  5 [size=\"23967744\", alpha=\"0.16\", expect_size=\"11983872\"] \n  5 -> 6 [size =\"11983872\"]\n  6 [size=\"15609856\", alpha=\"0.07\", expect_size=\"7804928\"] \n  6 -> 7 [size =\"7804928\"]\n  6 -> 8 [size =\"7804928\"]\n  7 [size=\"71677952\", alpha=\"0.14\", expect_size=\"35838976\"] \n  7 -> 9 [size =\"35838976\"]\n  7 -> 10 [size =\"35838976\"]\n  7 -> 11 [size =\"35838976\"]\n  8 [size=\"87070720\", alpha=\"0.16\", expect_size=\"43535360\"] \n  8 -> 9 [size =\"43535360\"]\n  8 -> 10 [size =\"43535360\"]\n  9 [size=\"62337024\", alpha=\"0.03\", expect_size=\"31168512\"] \n  9 -> 12 [size =\"31168512\"]\n  9 -> 13 [size =\"31168512\"]\n  9 -> 14 [size =\"31168512\"]\n  9 -> 15 [size =\"31168512\"]\n  10 [size=\"74788864\", alpha=\"0.05\", expect_size=\"37394432\"] \n  10 -> 12 [size =\"37394432\"]\n  10 -> 13 [size =\"37394432\"]\n  10 -> 15 [size =\"37394432\"]\n  11 [size=\"59351040\", alpha=\"0.10\", expect_size=\"29675520\"] \n  11 -> 12 [size =\"29675520\"]\n  11 -> 13 [size =\"29675520\"]\n  11 -> 14 [size =\"29675520\"]\n  11 -> 15 [size =\"29675520\"]\n  12 [size=\"14680064\", alpha=\"0.16\", expect_size=\"7340032\"] \n  13 [size=\"32507904\", alpha=\"0.11\", expect_size=\"16253952\"] \n  14 [size=\"29802496\", alpha=\"0.01\", expect_size=\"14901248\"] \n  14 -> 16 [size =\"14901248\"]\n  15 [size=\"50497536\", alpha=\"0.14\", expect_size=\"25248768\"] \n  15 -> 16 [size =\"25248768\"]\n  16 [size=\"30683136\", alpha=\"0.10\", expect_size=\"15341568\"] \n  16 -> 17 [size =\"15341568\"]\n  16 -> 18 [size =\"15341568\"]\n  16 -> 19 [size =\"15341568\"]\n  17 [size=\"63768576\", alpha=\"0.00\", expect_size=\"31884288\"] \n  17 -> 20 [size =\"31884288\"]\n  17 -> 22 [size =\"31884288\"]\n  18 [size=\"33122304\", alpha=\"0.18\", expect_size=\"16561152\"] \n  18 -> 21 [size =\"16561152\"]\n  19 [size=\"12058624\", alpha=\"0.02\", expect_size=\"6029312\"] \n  19 -> 20 [size =\"6029312\"]\n  19 -> 21 [size =\"6029312\"]\n  20 [size=\"25694208\", alpha=\"0.13\", expect_size=\"12847104\"] \n  20 -> 23 [size =\"12847104\"]\n  20 -> 25 [size =\"12847104\"]\n  21 [size=\"47781888\", alpha=\"0.01\", expect_size=\"23890944\"] \n  21 -> 23 [size =\"23890944\"]\n  21 -> 25 [size =\"23890944\"]\n  22 [size=\"95066112\", alpha=\"0.14\", expect_size=\"47533056\"] \n  22 -> 23 [size =\"47533056\"]\n  22 -> 24 [size =\"47533056\"]\n  22 -> 25 [size =\"47533056\"]\n  23 [size=\"75728896\", alpha=\"0.06\", expect_size=\"37864448\"] \n  23 -> 26 [size =\"37864448\"]\n  23 -> 27 [size =\"37864448\"]\n  24 [size=\"34383872\", alpha=\"0.19\", expect_size=\"17191936\"] \n  24 -> 27 [size =\"17191936\"]\n  25 [size=\"38209536\", alpha=\"0.14\", expect_size=\"19104768\"] \n  25 -> 27 [size =\"19104768\"]\n  26 [size=\"12201984\", alpha=\"0.11\", expect_size=\"6100992\"] \n  26 -> 28 [size =\"6100992\"]\n  27 [size=\"59770880\", alpha=\"0.01\", expect_size=\"29885440\"] \n  27 -> 28 [size =\"29885440\"]\n  28 [size=\"61806592\", alpha=\"0.06\", expect_size=\"30903296\"] \n  28 -> 29 [size =\"30903296\"]\n  28 -> 30 [size =\"30903296\"]\n  29 [size=\"50610176\", alpha=\"0.03\", expect_size=\"25305088\"] \n  30 [size=\"61540352\", alpha=\"0.14\", expect_size=\"30770176\"] \n  30 -> 31 [size =\"30770176\"]\n  31 [size=\"30027776\", alpha=\"0.14\", expect_size=\"15013888\"] \n  31 -> 32 [size =\"15013888\"]\n  31 -> 33 [size =\"15013888\"]\n  31 -> 34 [size =\"15013888\"]\n  32 [size=\"36970496\", alpha=\"0.16\", expect_size=\"18485248\"] \n  32 -> 35 [size =\"18485248\"]\n  32 -> 36 [size =\"18485248\"]\n  33 [size=\"101535744\", alpha=\"0.02\", expect_size=\"50767872\"] \n  33 -> 35 [size =\"50767872\"]\n  33 -> 36 [size =\"50767872\"]\n  34 [size=\"35989504\", alpha=\"0.13\", expect_size=\"17994752\"] \n  34 -> 35 [size =\"17994752\"]\n  34 -> 36 [size =\"17994752\"]\n  35 [size=\"30224384\", alpha=\"0.12\", expect_size=\"15112192\"] \n  35 -> 37 [size =\"15112192\"]\n  35 -> 38 [size =\"15112192\"]\n  36 [size=\"97728512\", alpha=\"0.15\", expect_size=\"48864256\"] \n  36 -> 37 [size =\"48864256\"]\n  37 [size=\"54878208\", alpha=\"0.09\", expect_size=\"27439104\"] \n  37 -> 39 [size =\"27439104\"]\n  38 [size=\"57241600\", alpha=\"0.09\", expect_size=\"28620800\"] \n  38 -> 39 [size =\"28620800\"]\n  39 [size=\"87031808\", alpha=\"0.08\", expect_size=\"43515904\"] \n  39 -> 40 [size =\"43515904\"]\n  39 -> 41 [size =\"43515904\"]\n  40 [size=\"101728256\", alpha=\"0.11\", expect_size=\"50864128\"] \n  40 -> 42 [size =\"50864128\"]\n  41 [size=\"71264256\", alpha=\"0.02\", expect_size=\"35632128\"] \n  41 -> 42 [size =\"35632128\"]\n  42 [size=\"44505088\", alpha=\"0.11\", expect_size=\"22252544\"] \n  42 -> 43 [size =\"22252544\"]\n  42 -> 44 [size =\"22252544\"]\n  42 -> 45 [size =\"22252544\"]\n  43 [size=\"25645056\", alpha=\"0.13\", expect_size=\"12822528\"] \n  44 [size=\"36706304\", alpha=\"0.01\", expect_size=\"18353152\"] \n  45 [size=\"97005568\", alpha=\"0.14\", expect_size=\"48502784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62589440\", alpha=\"0.19\", expect_size=\"25035776\"] \n  1 -> 3 [size =\"25035776\"]\n  1 -> 4 [size =\"25035776\"]\n  1 -> 5 [size =\"25035776\"]\n  2 [size=\"34398720\", alpha=\"0.13\", expect_size=\"13759488\"] \n  3 [size=\"44088320\", alpha=\"0.08\", expect_size=\"17635328\"] \n  3 -> 6 [size =\"17635328\"]\n  3 -> 7 [size =\"17635328\"]\n  4 [size=\"67870720\", alpha=\"0.05\", expect_size=\"27148288\"] \n  4 -> 6 [size =\"27148288\"]\n  5 [size=\"118773760\", alpha=\"0.10\", expect_size=\"47509504\"] \n  5 -> 7 [size =\"47509504\"]\n  6 [size=\"41968640\", alpha=\"0.17\", expect_size=\"16787456\"] \n  6 -> 8 [size =\"16787456\"]\n  7 [size=\"79946240\", alpha=\"0.01\", expect_size=\"31978496\"] \n  7 -> 9 [size =\"31978496\"]\n  8 [size=\"69568000\", alpha=\"0.11\", expect_size=\"27827200\"] \n  8 -> 10 [size =\"27827200\"]\n  8 -> 11 [size =\"27827200\"]\n  9 [size=\"87334400\", alpha=\"0.05\", expect_size=\"34933760\"] \n  10 [size=\"63810560\", alpha=\"0.19\", expect_size=\"25524224\"] \n  10 -> 12 [size =\"25524224\"]\n  10 -> 13 [size =\"25524224\"]\n  11 [size=\"29593600\", alpha=\"0.18\", expect_size=\"11837440\"] \n  12 [size=\"26613760\", alpha=\"0.14\", expect_size=\"10645504\"] \n  12 -> 14 [size =\"10645504\"]\n  12 -> 15 [size =\"10645504\"]\n  13 [size=\"105955840\", alpha=\"0.06\", expect_size=\"42382336\"] \n  14 [size=\"36769280\", alpha=\"0.18\", expect_size=\"14707712\"] \n  15 [size=\"67159040\", alpha=\"0.02\", expect_size=\"26863616\"] \n  15 -> 16 [size =\"26863616\"]\n  15 -> 17 [size =\"26863616\"]\n  16 [size=\"125580800\", alpha=\"0.14\", expect_size=\"50232320\"] \n  17 [size=\"107906560\", alpha=\"0.10\", expect_size=\"43162624\"] \n  17 -> 18 [size =\"43162624\"]\n  17 -> 19 [size =\"43162624\"]\n  18 [size=\"114662400\", alpha=\"0.02\", expect_size=\"45864960\"] \n  18 -> 20 [size =\"45864960\"]\n  18 -> 21 [size =\"45864960\"]\n  19 [size=\"61160960\", alpha=\"0.19\", expect_size=\"24464384\"] \n  19 -> 22 [size =\"24464384\"]\n  20 [size=\"93027840\", alpha=\"0.20\", expect_size=\"37211136\"] \n  20 -> 25 [size =\"37211136\"]\n  21 [size=\"85186560\", alpha=\"0.10\", expect_size=\"34074624\"] \n  21 -> 23 [size =\"34074624\"]\n  21 -> 24 [size =\"34074624\"]\n  22 [size=\"75514880\", alpha=\"0.03\", expect_size=\"30205952\"] \n  22 -> 25 [size =\"30205952\"]\n  23 [size=\"39047680\", alpha=\"0.01\", expect_size=\"15619072\"] \n  23 -> 26 [size =\"15619072\"]\n  24 [size=\"74910720\", alpha=\"0.09\", expect_size=\"29964288\"] \n  24 -> 27 [size =\"29964288\"]\n  25 [size=\"64145920\", alpha=\"0.15\", expect_size=\"25658368\"] \n  25 -> 27 [size =\"25658368\"]\n  26 [size=\"74631680\", alpha=\"0.06\", expect_size=\"29852672\"] \n  26 -> 28 [size =\"29852672\"]\n  26 -> 29 [size =\"29852672\"]\n  27 [size=\"40366080\", alpha=\"0.08\", expect_size=\"16146432\"] \n  28 [size=\"97344000\", alpha=\"0.19\", expect_size=\"38937600\"] \n  28 -> 30 [size =\"38937600\"]\n  28 -> 31 [size =\"38937600\"]\n  29 [size=\"109491200\", alpha=\"0.03\", expect_size=\"43796480\"] \n  30 [size=\"101450240\", alpha=\"0.16\", expect_size=\"40580096\"] \n  30 -> 33 [size =\"40580096\"]\n  31 [size=\"101030400\", alpha=\"0.12\", expect_size=\"40412160\"] \n  31 -> 32 [size =\"40412160\"]\n  31 -> 34 [size =\"40412160\"]\n  32 [size=\"39749120\", alpha=\"0.09\", expect_size=\"15899648\"] \n  32 -> 36 [size =\"15899648\"]\n  32 -> 37 [size =\"15899648\"]\n  33 [size=\"56865280\", alpha=\"0.03\", expect_size=\"22746112\"] \n  33 -> 35 [size =\"22746112\"]\n  34 [size=\"65395200\", alpha=\"0.00\", expect_size=\"26158080\"] \n  35 [size=\"120102400\", alpha=\"0.07\", expect_size=\"48040960\"] \n  35 -> 39 [size =\"48040960\"]\n  36 [size=\"90723840\", alpha=\"0.13\", expect_size=\"36289536\"] \n  36 -> 38 [size =\"36289536\"]\n  36 -> 39 [size =\"36289536\"]\n  37 [size=\"124090880\", alpha=\"0.15\", expect_size=\"49636352\"] \n  38 [size=\"51112960\", alpha=\"0.14\", expect_size=\"20445184\"] \n  38 -> 41 [size =\"20445184\"]\n  39 [size=\"46215680\", alpha=\"0.01\", expect_size=\"18486272\"] \n  39 -> 40 [size =\"18486272\"]\n  39 -> 42 [size =\"18486272\"]\n  40 [size=\"65666560\", alpha=\"0.02\", expect_size=\"26266624\"] \n  41 [size=\"42204160\", alpha=\"0.15\", expect_size=\"16881664\"] \n  41 -> 43 [size =\"16881664\"]\n  42 [size=\"110279680\", alpha=\"0.19\", expect_size=\"44111872\"] \n  42 -> 44 [size =\"44111872\"]\n  42 -> 45 [size =\"44111872\"]\n  43 [size=\"47472640\", alpha=\"0.07\", expect_size=\"18989056\"] \n  44 [size=\"64599040\", alpha=\"0.05\", expect_size=\"25839616\"] \n  45 [size=\"67353600\", alpha=\"0.12\", expect_size=\"26941440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124501333\", alpha=\"0.15\", expect_size=\"37350400\"] \n  1 -> 5 [size =\"37350400\"]\n  2 [size=\"114278400\", alpha=\"0.01\", expect_size=\"34283520\"] \n  2 -> 4 [size =\"34283520\"]\n  2 -> 5 [size =\"34283520\"]\n  3 [size=\"174540800\", alpha=\"0.04\", expect_size=\"52362240\"] \n  3 -> 4 [size =\"52362240\"]\n  3 -> 5 [size =\"52362240\"]\n  4 [size=\"19520853\", alpha=\"0.03\", expect_size=\"5856256\"] \n  4 -> 6 [size =\"5856256\"]\n  4 -> 7 [size =\"5856256\"]\n  4 -> 8 [size =\"5856256\"]\n  5 [size=\"50346667\", alpha=\"0.16\", expect_size=\"15104000\"] \n  5 -> 6 [size =\"15104000\"]\n  5 -> 7 [size =\"15104000\"]\n  6 [size=\"112824320\", alpha=\"0.15\", expect_size=\"33847296\"] \n  6 -> 9 [size =\"33847296\"]\n  6 -> 10 [size =\"33847296\"]\n  6 -> 11 [size =\"33847296\"]\n  7 [size=\"81926827\", alpha=\"0.06\", expect_size=\"24578048\"] \n  7 -> 10 [size =\"24578048\"]\n  7 -> 11 [size =\"24578048\"]\n  8 [size=\"40570880\", alpha=\"0.08\", expect_size=\"12171264\"] \n  8 -> 10 [size =\"12171264\"]\n  9 [size=\"18360320\", alpha=\"0.07\", expect_size=\"5508096\"] \n  9 -> 12 [size =\"5508096\"]\n  9 -> 13 [size =\"5508096\"]\n  9 -> 14 [size =\"5508096\"]\n  10 [size=\"66290347\", alpha=\"0.01\", expect_size=\"19887104\"] \n  10 -> 12 [size =\"19887104\"]\n  10 -> 13 [size =\"19887104\"]\n  11 [size=\"159119360\", alpha=\"0.13\", expect_size=\"47735808\"] \n  11 -> 12 [size =\"47735808\"]\n  11 -> 13 [size =\"47735808\"]\n  12 [size=\"117138773\", alpha=\"0.04\", expect_size=\"35141632\"] \n  12 -> 16 [size =\"35141632\"]\n  13 [size=\"128873813\", alpha=\"0.17\", expect_size=\"38662144\"] \n  13 -> 15 [size =\"38662144\"]\n  13 -> 16 [size =\"38662144\"]\n  14 [size=\"161590613\", alpha=\"0.12\", expect_size=\"48477184\"] \n  14 -> 16 [size =\"48477184\"]\n  15 [size=\"25388373\", alpha=\"0.02\", expect_size=\"7616512\"] \n  15 -> 17 [size =\"7616512\"]\n  15 -> 18 [size =\"7616512\"]\n  15 -> 19 [size =\"7616512\"]\n  16 [size=\"148056747\", alpha=\"0.08\", expect_size=\"44417024\"] \n  16 -> 17 [size =\"44417024\"]\n  16 -> 19 [size =\"44417024\"]\n  17 [size=\"111271253\", alpha=\"0.00\", expect_size=\"33381376\"] \n  17 -> 20 [size =\"33381376\"]\n  17 -> 22 [size =\"33381376\"]\n  18 [size=\"159494827\", alpha=\"0.18\", expect_size=\"47848448\"] \n  18 -> 21 [size =\"47848448\"]\n  18 -> 22 [size =\"47848448\"]\n  19 [size=\"62573227\", alpha=\"0.13\", expect_size=\"18771968\"] \n  19 -> 20 [size =\"18771968\"]\n  19 -> 22 [size =\"18771968\"]\n  20 [size=\"114773333\", alpha=\"0.11\", expect_size=\"34432000\"] \n  20 -> 24 [size =\"34432000\"]\n  21 [size=\"121924267\", alpha=\"0.03\", expect_size=\"36577280\"] \n  21 -> 24 [size =\"36577280\"]\n  22 [size=\"64395947\", alpha=\"0.07\", expect_size=\"19318784\"] \n  22 -> 23 [size =\"19318784\"]\n  22 -> 24 [size =\"19318784\"]\n  23 [size=\"97122987\", alpha=\"0.11\", expect_size=\"29136896\"] \n  24 [size=\"70126933\", alpha=\"0.16\", expect_size=\"21038080\"] \n  24 -> 25 [size =\"21038080\"]\n  24 -> 26 [size =\"21038080\"]\n  25 [size=\"167424000\", alpha=\"0.05\", expect_size=\"50227200\"] \n  25 -> 27 [size =\"50227200\"]\n  25 -> 29 [size =\"50227200\"]\n  26 [size=\"24388267\", alpha=\"0.05\", expect_size=\"7316480\"] \n  26 -> 27 [size =\"7316480\"]\n  26 -> 28 [size =\"7316480\"]\n  26 -> 29 [size =\"7316480\"]\n  27 [size=\"87493973\", alpha=\"0.14\", expect_size=\"26248192\"] \n  27 -> 30 [size =\"26248192\"]\n  27 -> 31 [size =\"26248192\"]\n  27 -> 32 [size =\"26248192\"]\n  28 [size=\"87985493\", alpha=\"0.06\", expect_size=\"26395648\"] \n  28 -> 30 [size =\"26395648\"]\n  28 -> 31 [size =\"26395648\"]\n  29 [size=\"74881707\", alpha=\"0.18\", expect_size=\"22464512\"] \n  29 -> 31 [size =\"22464512\"]\n  30 [size=\"17534293\", alpha=\"0.16\", expect_size=\"5260288\"] \n  30 -> 33 [size =\"5260288\"]\n  30 -> 34 [size =\"5260288\"]\n  31 [size=\"104273920\", alpha=\"0.13\", expect_size=\"31282176\"] \n  31 -> 33 [size =\"31282176\"]\n  31 -> 34 [size =\"31282176\"]\n  32 [size=\"127559680\", alpha=\"0.02\", expect_size=\"38267904\"] \n  32 -> 33 [size =\"38267904\"]\n  32 -> 34 [size =\"38267904\"]\n  32 -> 35 [size =\"38267904\"]\n  33 [size=\"26900480\", alpha=\"0.05\", expect_size=\"8070144\"] \n  33 -> 36 [size =\"8070144\"]\n  33 -> 37 [size =\"8070144\"]\n  34 [size=\"116654080\", alpha=\"0.06\", expect_size=\"34996224\"] \n  34 -> 36 [size =\"34996224\"]\n  34 -> 37 [size =\"34996224\"]\n  35 [size=\"84292267\", alpha=\"0.08\", expect_size=\"25287680\"] \n  35 -> 36 [size =\"25287680\"]\n  35 -> 37 [size =\"25287680\"]\n  36 [size=\"119968427\", alpha=\"0.08\", expect_size=\"35990528\"] \n  36 -> 38 [size =\"35990528\"]\n  37 [size=\"161751040\", alpha=\"0.18\", expect_size=\"48525312\"] \n  37 -> 39 [size =\"48525312\"]\n  38 [size=\"116800853\", alpha=\"0.07\", expect_size=\"35040256\"] \n  38 -> 42 [size =\"35040256\"]\n  39 [size=\"165505707\", alpha=\"0.02\", expect_size=\"49651712\"] \n  39 -> 40 [size =\"49651712\"]\n  39 -> 41 [size =\"49651712\"]\n  40 [size=\"151463253\", alpha=\"0.09\", expect_size=\"45438976\"] \n  40 -> 43 [size =\"45438976\"]\n  41 [size=\"123490987\", alpha=\"0.10\", expect_size=\"37047296\"] \n  41 -> 43 [size =\"37047296\"]\n  41 -> 44 [size =\"37047296\"]\n  41 -> 45 [size =\"37047296\"]\n  42 [size=\"65945600\", alpha=\"0.16\", expect_size=\"19783680\"] \n  42 -> 43 [size =\"19783680\"]\n  42 -> 45 [size =\"19783680\"]\n  43 [size=\"78496427\", alpha=\"0.13\", expect_size=\"23548928\"] \n  44 [size=\"115251200\", alpha=\"0.16\", expect_size=\"34575360\"] \n  45 [size=\"163041280\", alpha=\"0.18\", expect_size=\"48912384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37242880\", alpha=\"0.15\", expect_size=\"11172864\"] \n  1 -> 14 [size =\"11172864\"]\n  1 -> 15 [size =\"11172864\"]\n  1 -> 18 [size =\"11172864\"]\n  1 -> 22 [size =\"11172864\"]\n  1 -> 26 [size =\"11172864\"]\n  1 -> 27 [size =\"11172864\"]\n  1 -> 28 [size =\"11172864\"]\n  2 [size=\"58661547\", alpha=\"0.09\", expect_size=\"17598464\"] \n  2 -> 15 [size =\"17598464\"]\n  2 -> 15 [size =\"17598464\"]\n  2 -> 17 [size =\"17598464\"]\n  2 -> 20 [size =\"17598464\"]\n  2 -> 22 [size =\"17598464\"]\n  2 -> 25 [size =\"17598464\"]\n  2 -> 28 [size =\"17598464\"]\n  2 -> 29 [size =\"17598464\"]\n  3 [size=\"56173227\", alpha=\"0.13\", expect_size=\"16851968\"] \n  3 -> 15 [size =\"16851968\"]\n  3 -> 19 [size =\"16851968\"]\n  3 -> 22 [size =\"16851968\"]\n  3 -> 25 [size =\"16851968\"]\n  3 -> 27 [size =\"16851968\"]\n  3 -> 28 [size =\"16851968\"]\n  3 -> 28 [size =\"16851968\"]\n  3 -> 29 [size =\"16851968\"]\n  4 [size=\"56890027\", alpha=\"0.04\", expect_size=\"17067008\"] \n  4 -> 15 [size =\"17067008\"]\n  4 -> 16 [size =\"17067008\"]\n  4 -> 17 [size =\"17067008\"]\n  4 -> 19 [size =\"17067008\"]\n  4 -> 21 [size =\"17067008\"]\n  4 -> 29 [size =\"17067008\"]\n  5 [size=\"117084160\", alpha=\"0.14\", expect_size=\"35125248\"] \n  5 -> 29 [size =\"35125248\"]\n  6 [size=\"92419413\", alpha=\"0.05\", expect_size=\"27725824\"] \n  6 -> 17 [size =\"27725824\"]\n  6 -> 19 [size =\"27725824\"]\n  6 -> 23 [size =\"27725824\"]\n  6 -> 25 [size =\"27725824\"]\n  6 -> 27 [size =\"27725824\"]\n  7 [size=\"46527147\", alpha=\"0.15\", expect_size=\"13958144\"] \n  7 -> 16 [size =\"13958144\"]\n  7 -> 21 [size =\"13958144\"]\n  7 -> 23 [size =\"13958144\"]\n  7 -> 24 [size =\"13958144\"]\n  8 [size=\"30586880\", alpha=\"0.09\", expect_size=\"9176064\"] \n  8 -> 16 [size =\"9176064\"]\n  8 -> 17 [size =\"9176064\"]\n  8 -> 21 [size =\"9176064\"]\n  8 -> 28 [size =\"9176064\"]\n  9 [size=\"46892373\", alpha=\"0.17\", expect_size=\"14067712\"] \n  9 -> 17 [size =\"14067712\"]\n  9 -> 17 [size =\"14067712\"]\n  9 -> 21 [size =\"14067712\"]\n  9 -> 29 [size =\"14067712\"]\n  10 [size=\"129495040\", alpha=\"0.11\", expect_size=\"38848512\"] \n  10 -> 13 [size =\"38848512\"]\n  10 -> 16 [size =\"38848512\"]\n  10 -> 17 [size =\"38848512\"]\n  10 -> 19 [size =\"38848512\"]\n  10 -> 20 [size =\"38848512\"]\n  10 -> 21 [size =\"38848512\"]\n  10 -> 26 [size =\"38848512\"]\n  10 -> 29 [size =\"38848512\"]\n  11 [size=\"121132373\", alpha=\"0.05\", expect_size=\"36339712\"] \n  11 -> 14 [size =\"36339712\"]\n  11 -> 15 [size =\"36339712\"]\n  11 -> 16 [size =\"36339712\"]\n  11 -> 23 [size =\"36339712\"]\n  11 -> 25 [size =\"36339712\"]\n  11 -> 26 [size =\"36339712\"]\n  11 -> 29 [size =\"36339712\"]\n  12 [size=\"79694507\", alpha=\"0.01\", expect_size=\"23908352\"] \n  12 -> 14 [size =\"23908352\"]\n  12 -> 15 [size =\"23908352\"]\n  12 -> 16 [size =\"23908352\"]\n  12 -> 17 [size =\"23908352\"]\n  12 -> 26 [size =\"23908352\"]\n  13 [size=\"146858667\", alpha=\"0.09\", expect_size=\"44057600\"] \n  13 -> 30 [size =\"44057600\"]\n  13 -> 32 [size =\"44057600\"]\n  13 -> 35 [size =\"44057600\"]\n  13 -> 40 [size =\"44057600\"]\n  13 -> 43 [size =\"44057600\"]\n  13 -> 44 [size =\"44057600\"]\n  13 -> 45 [size =\"44057600\"]\n  14 [size=\"89326933\", alpha=\"0.07\", expect_size=\"26798080\"] \n  14 -> 30 [size =\"26798080\"]\n  14 -> 31 [size =\"26798080\"]\n  14 -> 35 [size =\"26798080\"]\n  14 -> 37 [size =\"26798080\"]\n  14 -> 42 [size =\"26798080\"]\n  14 -> 45 [size =\"26798080\"]\n  15 [size=\"118722560\", alpha=\"0.06\", expect_size=\"35616768\"] \n  15 -> 34 [size =\"35616768\"]\n  15 -> 35 [size =\"35616768\"]\n  15 -> 35 [size =\"35616768\"]\n  15 -> 36 [size =\"35616768\"]\n  15 -> 38 [size =\"35616768\"]\n  15 -> 40 [size =\"35616768\"]\n  15 -> 41 [size =\"35616768\"]\n  15 -> 42 [size =\"35616768\"]\n  15 -> 45 [size =\"35616768\"]\n  16 [size=\"74110293\", alpha=\"0.17\", expect_size=\"22233088\"] \n  16 -> 32 [size =\"22233088\"]\n  16 -> 42 [size =\"22233088\"]\n  16 -> 43 [size =\"22233088\"]\n  16 -> 44 [size =\"22233088\"]\n  17 [size=\"116377600\", alpha=\"0.07\", expect_size=\"34913280\"] \n  17 -> 32 [size =\"34913280\"]\n  17 -> 33 [size =\"34913280\"]\n  17 -> 34 [size =\"34913280\"]\n  17 -> 35 [size =\"34913280\"]\n  17 -> 38 [size =\"34913280\"]\n  17 -> 40 [size =\"34913280\"]\n  18 [size=\"77148160\", alpha=\"0.10\", expect_size=\"23144448\"] \n  18 -> 32 [size =\"23144448\"]\n  18 -> 33 [size =\"23144448\"]\n  18 -> 34 [size =\"23144448\"]\n  18 -> 42 [size =\"23144448\"]\n  18 -> 45 [size =\"23144448\"]\n  19 [size=\"146916693\", alpha=\"0.17\", expect_size=\"44075008\"] \n  19 -> 40 [size =\"44075008\"]\n  20 [size=\"123163307\", alpha=\"0.10\", expect_size=\"36948992\"] \n  20 -> 35 [size =\"36948992\"]\n  20 -> 41 [size =\"36948992\"]\n  20 -> 42 [size =\"36948992\"]\n  20 -> 43 [size =\"36948992\"]\n  20 -> 44 [size =\"36948992\"]\n  20 -> 45 [size =\"36948992\"]\n  21 [size=\"56087893\", alpha=\"0.06\", expect_size=\"16826368\"] \n  21 -> 30 [size =\"16826368\"]\n  21 -> 35 [size =\"16826368\"]\n  21 -> 40 [size =\"16826368\"]\n  21 -> 41 [size =\"16826368\"]\n  21 -> 42 [size =\"16826368\"]\n  21 -> 43 [size =\"16826368\"]\n  21 -> 45 [size =\"16826368\"]\n  22 [size=\"94825813\", alpha=\"0.08\", expect_size=\"28447744\"] \n  22 -> 30 [size =\"28447744\"]\n  22 -> 33 [size =\"28447744\"]\n  22 -> 34 [size =\"28447744\"]\n  22 -> 36 [size =\"28447744\"]\n  22 -> 38 [size =\"28447744\"]\n  22 -> 39 [size =\"28447744\"]\n  22 -> 41 [size =\"28447744\"]\n  22 -> 43 [size =\"28447744\"]\n  23 [size=\"106519893\", alpha=\"0.14\", expect_size=\"31955968\"] \n  23 -> 30 [size =\"31955968\"]\n  23 -> 34 [size =\"31955968\"]\n  23 -> 39 [size =\"31955968\"]\n  23 -> 40 [size =\"31955968\"]\n  23 -> 41 [size =\"31955968\"]\n  23 -> 43 [size =\"31955968\"]\n  24 [size=\"20449280\", alpha=\"0.05\", expect_size=\"6134784\"] \n  24 -> 30 [size =\"6134784\"]\n  24 -> 32 [size =\"6134784\"]\n  24 -> 34 [size =\"6134784\"]\n  24 -> 37 [size =\"6134784\"]\n  24 -> 39 [size =\"6134784\"]\n  24 -> 41 [size =\"6134784\"]\n  25 [size=\"77305173\", alpha=\"0.09\", expect_size=\"23191552\"] \n  25 -> 30 [size =\"23191552\"]\n  25 -> 32 [size =\"23191552\"]\n  25 -> 35 [size =\"23191552\"]\n  25 -> 38 [size =\"23191552\"]\n  25 -> 39 [size =\"23191552\"]\n  25 -> 41 [size =\"23191552\"]\n  26 [size=\"126829227\", alpha=\"0.02\", expect_size=\"38048768\"] \n  26 -> 34 [size =\"38048768\"]\n  26 -> 38 [size =\"38048768\"]\n  26 -> 40 [size =\"38048768\"]\n  26 -> 41 [size =\"38048768\"]\n  26 -> 42 [size =\"38048768\"]\n  27 [size=\"106567680\", alpha=\"0.20\", expect_size=\"31970304\"] \n  27 -> 30 [size =\"31970304\"]\n  27 -> 31 [size =\"31970304\"]\n  27 -> 32 [size =\"31970304\"]\n  27 -> 34 [size =\"31970304\"]\n  27 -> 35 [size =\"31970304\"]\n  27 -> 36 [size =\"31970304\"]\n  27 -> 37 [size =\"31970304\"]\n  27 -> 39 [size =\"31970304\"]\n  27 -> 41 [size =\"31970304\"]\n  28 [size=\"161672533\", alpha=\"0.18\", expect_size=\"48501760\"] \n  28 -> 32 [size =\"48501760\"]\n  28 -> 39 [size =\"48501760\"]\n  28 -> 41 [size =\"48501760\"]\n  28 -> 42 [size =\"48501760\"]\n  28 -> 44 [size =\"48501760\"]\n  29 [size=\"85439147\", alpha=\"0.01\", expect_size=\"25631744\"] \n  29 -> 30 [size =\"25631744\"]\n  29 -> 32 [size =\"25631744\"]\n  29 -> 35 [size =\"25631744\"]\n  29 -> 39 [size =\"25631744\"]\n  29 -> 41 [size =\"25631744\"]\n  29 -> 43 [size =\"25631744\"]\n  29 -> 45 [size =\"25631744\"]\n  30 [size=\"59016533\", alpha=\"0.18\", expect_size=\"17704960\"] \n  31 [size=\"139311787\", alpha=\"0.08\", expect_size=\"41793536\"] \n  32 [size=\"31518720\", alpha=\"0.06\", expect_size=\"9455616\"] \n  33 [size=\"91402240\", alpha=\"0.20\", expect_size=\"27420672\"] \n  34 [size=\"43079680\", alpha=\"0.03\", expect_size=\"12923904\"] \n  35 [size=\"83254613\", alpha=\"0.20\", expect_size=\"24976384\"] \n  36 [size=\"154251947\", alpha=\"0.03\", expect_size=\"46275584\"] \n  37 [size=\"173725013\", alpha=\"0.19\", expect_size=\"52117504\"] \n  38 [size=\"170734933\", alpha=\"0.03\", expect_size=\"51220480\"] \n  39 [size=\"158385493\", alpha=\"0.03\", expect_size=\"47515648\"] \n  40 [size=\"166096213\", alpha=\"0.17\", expect_size=\"49828864\"] \n  41 [size=\"148599467\", alpha=\"0.16\", expect_size=\"44579840\"] \n  42 [size=\"52264960\", alpha=\"0.04\", expect_size=\"15679488\"] \n  43 [size=\"96597333\", alpha=\"0.04\", expect_size=\"28979200\"] \n  44 [size=\"96413013\", alpha=\"0.04\", expect_size=\"28923904\"] \n  45 [size=\"123559253\", alpha=\"0.11\", expect_size=\"37067776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100913152\", alpha=\"0.10\", expect_size=\"50456576\"] \n  1 -> 29 [size =\"50456576\"]\n  1 -> 34 [size =\"50456576\"]\n  1 -> 38 [size =\"50456576\"]\n  1 -> 43 [size =\"50456576\"]\n  1 -> 45 [size =\"50456576\"]\n  2 [size=\"62169088\", alpha=\"0.11\", expect_size=\"31084544\"] \n  2 -> 31 [size =\"31084544\"]\n  2 -> 32 [size =\"31084544\"]\n  2 -> 38 [size =\"31084544\"]\n  3 [size=\"10690560\", alpha=\"0.19\", expect_size=\"5345280\"] \n  3 -> 31 [size =\"5345280\"]\n  3 -> 34 [size =\"5345280\"]\n  4 [size=\"14946304\", alpha=\"0.13\", expect_size=\"7473152\"] \n  4 -> 29 [size =\"7473152\"]\n  4 -> 31 [size =\"7473152\"]\n  5 [size=\"76955648\", alpha=\"0.04\", expect_size=\"38477824\"] \n  5 -> 29 [size =\"38477824\"]\n  5 -> 30 [size =\"38477824\"]\n  5 -> 31 [size =\"38477824\"]\n  5 -> 32 [size =\"38477824\"]\n  5 -> 36 [size =\"38477824\"]\n  5 -> 39 [size =\"38477824\"]\n  5 -> 43 [size =\"38477824\"]\n  6 [size=\"76216320\", alpha=\"0.10\", expect_size=\"38108160\"] \n  6 -> 31 [size =\"38108160\"]\n  6 -> 34 [size =\"38108160\"]\n  6 -> 38 [size =\"38108160\"]\n  6 -> 39 [size =\"38108160\"]\n  6 -> 43 [size =\"38108160\"]\n  7 [size=\"39624704\", alpha=\"0.18\", expect_size=\"19812352\"] \n  7 -> 31 [size =\"19812352\"]\n  7 -> 33 [size =\"19812352\"]\n  7 -> 34 [size =\"19812352\"]\n  7 -> 39 [size =\"19812352\"]\n  8 [size=\"13189120\", alpha=\"0.07\", expect_size=\"6594560\"] \n  8 -> 33 [size =\"6594560\"]\n  8 -> 39 [size =\"6594560\"]\n  9 [size=\"89610240\", alpha=\"0.15\", expect_size=\"44805120\"] \n  9 -> 31 [size =\"44805120\"]\n  9 -> 33 [size =\"44805120\"]\n  9 -> 34 [size =\"44805120\"]\n  9 -> 35 [size =\"44805120\"]\n  9 -> 45 [size =\"44805120\"]\n  10 [size=\"93313024\", alpha=\"0.01\", expect_size=\"46656512\"] \n  10 -> 32 [size =\"46656512\"]\n  10 -> 33 [size =\"46656512\"]\n  10 -> 34 [size =\"46656512\"]\n  10 -> 39 [size =\"46656512\"]\n  10 -> 45 [size =\"46656512\"]\n  11 [size=\"33394688\", alpha=\"0.09\", expect_size=\"16697344\"] \n  11 -> 31 [size =\"16697344\"]\n  11 -> 34 [size =\"16697344\"]\n  11 -> 34 [size =\"16697344\"]\n  11 -> 35 [size =\"16697344\"]\n  11 -> 39 [size =\"16697344\"]\n  11 -> 42 [size =\"16697344\"]\n  12 [size=\"80742400\", alpha=\"0.01\", expect_size=\"40371200\"] \n  12 -> 31 [size =\"40371200\"]\n  12 -> 34 [size =\"40371200\"]\n  12 -> 36 [size =\"40371200\"]\n  12 -> 38 [size =\"40371200\"]\n  12 -> 42 [size =\"40371200\"]\n  12 -> 42 [size =\"40371200\"]\n  12 -> 43 [size =\"40371200\"]\n  12 -> 45 [size =\"40371200\"]\n  13 [size=\"38461440\", alpha=\"0.01\", expect_size=\"19230720\"] \n  13 -> 34 [size =\"19230720\"]\n  13 -> 43 [size =\"19230720\"]\n  13 -> 45 [size =\"19230720\"]\n  14 [size=\"35555328\", alpha=\"0.06\", expect_size=\"17777664\"] \n  14 -> 33 [size =\"17777664\"]\n  14 -> 37 [size =\"17777664\"]\n  15 [size=\"99096576\", alpha=\"0.08\", expect_size=\"49548288\"] \n  15 -> 29 [size =\"49548288\"]\n  15 -> 31 [size =\"49548288\"]\n  15 -> 32 [size =\"49548288\"]\n  15 -> 35 [size =\"49548288\"]\n  15 -> 38 [size =\"49548288\"]\n  15 -> 41 [size =\"49548288\"]\n  16 [size=\"23097344\", alpha=\"0.18\", expect_size=\"11548672\"] \n  16 -> 29 [size =\"11548672\"]\n  16 -> 32 [size =\"11548672\"]\n  16 -> 33 [size =\"11548672\"]\n  16 -> 38 [size =\"11548672\"]\n  16 -> 42 [size =\"11548672\"]\n  16 -> 45 [size =\"11548672\"]\n  17 [size=\"71917568\", alpha=\"0.13\", expect_size=\"35958784\"] \n  17 -> 29 [size =\"35958784\"]\n  17 -> 30 [size =\"35958784\"]\n  17 -> 33 [size =\"35958784\"]\n  17 -> 43 [size =\"35958784\"]\n  17 -> 44 [size =\"35958784\"]\n  18 [size=\"61419520\", alpha=\"0.02\", expect_size=\"30709760\"] \n  18 -> 33 [size =\"30709760\"]\n  18 -> 34 [size =\"30709760\"]\n  18 -> 36 [size =\"30709760\"]\n  18 -> 37 [size =\"30709760\"]\n  18 -> 43 [size =\"30709760\"]\n  19 [size=\"96137216\", alpha=\"0.03\", expect_size=\"48068608\"] \n  19 -> 31 [size =\"48068608\"]\n  19 -> 33 [size =\"48068608\"]\n  19 -> 36 [size =\"48068608\"]\n  19 -> 38 [size =\"48068608\"]\n  19 -> 39 [size =\"48068608\"]\n  19 -> 40 [size =\"48068608\"]\n  19 -> 45 [size =\"48068608\"]\n  20 [size=\"73811968\", alpha=\"0.08\", expect_size=\"36905984\"] \n  20 -> 33 [size =\"36905984\"]\n  20 -> 34 [size =\"36905984\"]\n  20 -> 36 [size =\"36905984\"]\n  20 -> 37 [size =\"36905984\"]\n  20 -> 40 [size =\"36905984\"]\n  21 [size=\"78927872\", alpha=\"0.13\", expect_size=\"39463936\"] \n  21 -> 30 [size =\"39463936\"]\n  21 -> 33 [size =\"39463936\"]\n  21 -> 36 [size =\"39463936\"]\n  21 -> 43 [size =\"39463936\"]\n  22 [size=\"25477120\", alpha=\"0.08\", expect_size=\"12738560\"] \n  22 -> 31 [size =\"12738560\"]\n  22 -> 34 [size =\"12738560\"]\n  22 -> 41 [size =\"12738560\"]\n  22 -> 45 [size =\"12738560\"]\n  23 [size=\"29964288\", alpha=\"0.04\", expect_size=\"14982144\"] \n  23 -> 35 [size =\"14982144\"]\n  23 -> 39 [size =\"14982144\"]\n  23 -> 41 [size =\"14982144\"]\n  24 [size=\"35086336\", alpha=\"0.00\", expect_size=\"17543168\"] \n  24 -> 31 [size =\"17543168\"]\n  24 -> 33 [size =\"17543168\"]\n  24 -> 41 [size =\"17543168\"]\n  24 -> 43 [size =\"17543168\"]\n  24 -> 45 [size =\"17543168\"]\n  25 [size=\"65673216\", alpha=\"0.11\", expect_size=\"32836608\"] \n  25 -> 32 [size =\"32836608\"]\n  25 -> 33 [size =\"32836608\"]\n  25 -> 34 [size =\"32836608\"]\n  25 -> 43 [size =\"32836608\"]\n  25 -> 45 [size =\"32836608\"]\n  26 [size=\"101922816\", alpha=\"0.15\", expect_size=\"50961408\"] \n  26 -> 31 [size =\"50961408\"]\n  26 -> 33 [size =\"50961408\"]\n  26 -> 35 [size =\"50961408\"]\n  26 -> 38 [size =\"50961408\"]\n  26 -> 39 [size =\"50961408\"]\n  26 -> 41 [size =\"50961408\"]\n  26 -> 45 [size =\"50961408\"]\n  27 [size=\"92692480\", alpha=\"0.06\", expect_size=\"46346240\"] \n  27 -> 29 [size =\"46346240\"]\n  27 -> 31 [size =\"46346240\"]\n  27 -> 33 [size =\"46346240\"]\n  27 -> 38 [size =\"46346240\"]\n  27 -> 39 [size =\"46346240\"]\n  27 -> 43 [size =\"46346240\"]\n  27 -> 45 [size =\"46346240\"]\n  28 [size=\"61118464\", alpha=\"0.17\", expect_size=\"30559232\"] \n  28 -> 29 [size =\"30559232\"]\n  28 -> 33 [size =\"30559232\"]\n  28 -> 33 [size =\"30559232\"]\n  28 -> 35 [size =\"30559232\"]\n  28 -> 36 [size =\"30559232\"]\n  28 -> 38 [size =\"30559232\"]\n  28 -> 43 [size =\"30559232\"]\n  28 -> 45 [size =\"30559232\"]\n  29 [size=\"69971968\", alpha=\"0.05\", expect_size=\"34985984\"] \n  30 [size=\"84084736\", alpha=\"0.10\", expect_size=\"42042368\"] \n  31 [size=\"28831744\", alpha=\"0.01\", expect_size=\"14415872\"] \n  32 [size=\"89016320\", alpha=\"0.06\", expect_size=\"44508160\"] \n  33 [size=\"33208320\", alpha=\"0.17\", expect_size=\"16604160\"] \n  34 [size=\"50354176\", alpha=\"0.13\", expect_size=\"25177088\"] \n  35 [size=\"50548736\", alpha=\"0.09\", expect_size=\"25274368\"] \n  36 [size=\"100257792\", alpha=\"0.07\", expect_size=\"50128896\"] \n  37 [size=\"76474368\", alpha=\"0.18\", expect_size=\"38237184\"] \n  38 [size=\"102707200\", alpha=\"0.19\", expect_size=\"51353600\"] \n  39 [size=\"87289856\", alpha=\"0.19\", expect_size=\"43644928\"] \n  40 [size=\"14974976\", alpha=\"0.13\", expect_size=\"7487488\"] \n  41 [size=\"62961664\", alpha=\"0.00\", expect_size=\"31480832\"] \n  42 [size=\"65419264\", alpha=\"0.11\", expect_size=\"32709632\"] \n  43 [size=\"92600320\", alpha=\"0.06\", expect_size=\"46300160\"] \n  44 [size=\"78114816\", alpha=\"0.07\", expect_size=\"39057408\"] \n  45 [size=\"47032320\", alpha=\"0.19\", expect_size=\"23516160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14469120\", alpha=\"0.10\", expect_size=\"7234560\"] \n  1 -> 11 [size =\"7234560\"]\n  1 -> 12 [size =\"7234560\"]\n  1 -> 13 [size =\"7234560\"]\n  1 -> 14 [size =\"7234560\"]\n  1 -> 16 [size =\"7234560\"]\n  1 -> 19 [size =\"7234560\"]\n  1 -> 20 [size =\"7234560\"]\n  2 [size=\"97304576\", alpha=\"0.08\", expect_size=\"48652288\"] \n  2 -> 12 [size =\"48652288\"]\n  2 -> 13 [size =\"48652288\"]\n  2 -> 14 [size =\"48652288\"]\n  2 -> 19 [size =\"48652288\"]\n  2 -> 20 [size =\"48652288\"]\n  3 [size=\"48211968\", alpha=\"0.11\", expect_size=\"24105984\"] \n  3 -> 13 [size =\"24105984\"]\n  3 -> 13 [size =\"24105984\"]\n  3 -> 14 [size =\"24105984\"]\n  3 -> 18 [size =\"24105984\"]\n  3 -> 19 [size =\"24105984\"]\n  3 -> 20 [size =\"24105984\"]\n  4 [size=\"59117568\", alpha=\"0.11\", expect_size=\"29558784\"] \n  4 -> 11 [size =\"29558784\"]\n  4 -> 13 [size =\"29558784\"]\n  4 -> 14 [size =\"29558784\"]\n  4 -> 17 [size =\"29558784\"]\n  4 -> 20 [size =\"29558784\"]\n  4 -> 20 [size =\"29558784\"]\n  5 [size=\"87920640\", alpha=\"0.17\", expect_size=\"43960320\"] \n  5 -> 14 [size =\"43960320\"]\n  5 -> 18 [size =\"43960320\"]\n  5 -> 20 [size =\"43960320\"]\n  6 [size=\"46811136\", alpha=\"0.16\", expect_size=\"23405568\"] \n  6 -> 12 [size =\"23405568\"]\n  6 -> 13 [size =\"23405568\"]\n  6 -> 14 [size =\"23405568\"]\n  6 -> 17 [size =\"23405568\"]\n  6 -> 18 [size =\"23405568\"]\n  6 -> 20 [size =\"23405568\"]\n  7 [size=\"94568448\", alpha=\"0.01\", expect_size=\"47284224\"] \n  7 -> 11 [size =\"47284224\"]\n  7 -> 12 [size =\"47284224\"]\n  7 -> 17 [size =\"47284224\"]\n  7 -> 17 [size =\"47284224\"]\n  7 -> 18 [size =\"47284224\"]\n  7 -> 19 [size =\"47284224\"]\n  7 -> 20 [size =\"47284224\"]\n  8 [size=\"70047744\", alpha=\"0.12\", expect_size=\"35023872\"] \n  8 -> 11 [size =\"35023872\"]\n  8 -> 13 [size =\"35023872\"]\n  8 -> 15 [size =\"35023872\"]\n  8 -> 17 [size =\"35023872\"]\n  8 -> 18 [size =\"35023872\"]\n  9 [size=\"58712064\", alpha=\"0.09\", expect_size=\"29356032\"] \n  9 -> 11 [size =\"29356032\"]\n  9 -> 12 [size =\"29356032\"]\n  9 -> 17 [size =\"29356032\"]\n  9 -> 19 [size =\"29356032\"]\n  10 [size=\"66304000\", alpha=\"0.10\", expect_size=\"33152000\"] \n  10 -> 12 [size =\"33152000\"]\n  10 -> 19 [size =\"33152000\"]\n  10 -> 20 [size =\"33152000\"]\n  11 [size=\"44417024\", alpha=\"0.04\", expect_size=\"22208512\"] \n  11 -> 23 [size =\"22208512\"]\n  11 -> 25 [size =\"22208512\"]\n  11 -> 27 [size =\"22208512\"]\n  11 -> 28 [size =\"22208512\"]\n  11 -> 30 [size =\"22208512\"]\n  11 -> 30 [size =\"22208512\"]\n  12 [size=\"90318848\", alpha=\"0.04\", expect_size=\"45159424\"] \n  12 -> 21 [size =\"45159424\"]\n  12 -> 23 [size =\"45159424\"]\n  12 -> 25 [size =\"45159424\"]\n  12 -> 27 [size =\"45159424\"]\n  12 -> 28 [size =\"45159424\"]\n  13 [size=\"35416064\", alpha=\"0.14\", expect_size=\"17708032\"] \n  13 -> 21 [size =\"17708032\"]\n  13 -> 23 [size =\"17708032\"]\n  13 -> 25 [size =\"17708032\"]\n  13 -> 29 [size =\"17708032\"]\n  14 [size=\"87928832\", alpha=\"0.07\", expect_size=\"43964416\"] \n  14 -> 22 [size =\"43964416\"]\n  14 -> 23 [size =\"43964416\"]\n  14 -> 25 [size =\"43964416\"]\n  14 -> 30 [size =\"43964416\"]\n  15 [size=\"46045184\", alpha=\"0.12\", expect_size=\"23022592\"] \n  15 -> 21 [size =\"23022592\"]\n  15 -> 23 [size =\"23022592\"]\n  15 -> 24 [size =\"23022592\"]\n  15 -> 25 [size =\"23022592\"]\n  15 -> 26 [size =\"23022592\"]\n  15 -> 27 [size =\"23022592\"]\n  15 -> 29 [size =\"23022592\"]\n  16 [size=\"33501184\", alpha=\"0.00\", expect_size=\"16750592\"] \n  16 -> 21 [size =\"16750592\"]\n  16 -> 23 [size =\"16750592\"]\n  16 -> 24 [size =\"16750592\"]\n  16 -> 25 [size =\"16750592\"]\n  16 -> 26 [size =\"16750592\"]\n  16 -> 28 [size =\"16750592\"]\n  16 -> 29 [size =\"16750592\"]\n  17 [size=\"14422016\", alpha=\"0.00\", expect_size=\"7211008\"] \n  17 -> 21 [size =\"7211008\"]\n  17 -> 23 [size =\"7211008\"]\n  17 -> 24 [size =\"7211008\"]\n  17 -> 26 [size =\"7211008\"]\n  17 -> 27 [size =\"7211008\"]\n  17 -> 30 [size =\"7211008\"]\n  18 [size=\"18927616\", alpha=\"0.17\", expect_size=\"9463808\"] \n  18 -> 21 [size =\"9463808\"]\n  18 -> 23 [size =\"9463808\"]\n  18 -> 24 [size =\"9463808\"]\n  18 -> 25 [size =\"9463808\"]\n  18 -> 27 [size =\"9463808\"]\n  18 -> 29 [size =\"9463808\"]\n  18 -> 30 [size =\"9463808\"]\n  19 [size=\"74016768\", alpha=\"0.17\", expect_size=\"37008384\"] \n  19 -> 21 [size =\"37008384\"]\n  19 -> 27 [size =\"37008384\"]\n  19 -> 28 [size =\"37008384\"]\n  20 [size=\"22159360\", alpha=\"0.18\", expect_size=\"11079680\"] \n  20 -> 21 [size =\"11079680\"]\n  20 -> 22 [size =\"11079680\"]\n  20 -> 23 [size =\"11079680\"]\n  20 -> 27 [size =\"11079680\"]\n  20 -> 28 [size =\"11079680\"]\n  20 -> 30 [size =\"11079680\"]\n  21 [size=\"69642240\", alpha=\"0.19\", expect_size=\"34821120\"] \n  21 -> 32 [size =\"34821120\"]\n  21 -> 37 [size =\"34821120\"]\n  21 -> 39 [size =\"34821120\"]\n  21 -> 41 [size =\"34821120\"]\n  21 -> 45 [size =\"34821120\"]\n  22 [size=\"86808576\", alpha=\"0.19\", expect_size=\"43404288\"] \n  22 -> 31 [size =\"43404288\"]\n  22 -> 32 [size =\"43404288\"]\n  22 -> 39 [size =\"43404288\"]\n  22 -> 41 [size =\"43404288\"]\n  22 -> 42 [size =\"43404288\"]\n  22 -> 44 [size =\"43404288\"]\n  23 [size=\"13248512\", alpha=\"0.07\", expect_size=\"6624256\"] \n  23 -> 31 [size =\"6624256\"]\n  23 -> 32 [size =\"6624256\"]\n  23 -> 33 [size =\"6624256\"]\n  23 -> 34 [size =\"6624256\"]\n  23 -> 39 [size =\"6624256\"]\n  23 -> 40 [size =\"6624256\"]\n  23 -> 41 [size =\"6624256\"]\n  23 -> 44 [size =\"6624256\"]\n  24 [size=\"77352960\", alpha=\"0.05\", expect_size=\"38676480\"] \n  24 -> 31 [size =\"38676480\"]\n  24 -> 36 [size =\"38676480\"]\n  24 -> 40 [size =\"38676480\"]\n  24 -> 41 [size =\"38676480\"]\n  24 -> 44 [size =\"38676480\"]\n  25 [size=\"16035840\", alpha=\"0.20\", expect_size=\"8017920\"] \n  25 -> 31 [size =\"8017920\"]\n  25 -> 34 [size =\"8017920\"]\n  25 -> 35 [size =\"8017920\"]\n  25 -> 37 [size =\"8017920\"]\n  25 -> 39 [size =\"8017920\"]\n  25 -> 40 [size =\"8017920\"]\n  25 -> 41 [size =\"8017920\"]\n  25 -> 42 [size =\"8017920\"]\n  25 -> 43 [size =\"8017920\"]\n  26 [size=\"72308736\", alpha=\"0.02\", expect_size=\"36154368\"] \n  26 -> 31 [size =\"36154368\"]\n  26 -> 33 [size =\"36154368\"]\n  26 -> 36 [size =\"36154368\"]\n  26 -> 37 [size =\"36154368\"]\n  26 -> 40 [size =\"36154368\"]\n  26 -> 41 [size =\"36154368\"]\n  26 -> 44 [size =\"36154368\"]\n  26 -> 45 [size =\"36154368\"]\n  27 [size=\"73359360\", alpha=\"0.02\", expect_size=\"36679680\"] \n  27 -> 31 [size =\"36679680\"]\n  27 -> 36 [size =\"36679680\"]\n  27 -> 37 [size =\"36679680\"]\n  27 -> 39 [size =\"36679680\"]\n  27 -> 40 [size =\"36679680\"]\n  27 -> 41 [size =\"36679680\"]\n  27 -> 43 [size =\"36679680\"]\n  27 -> 44 [size =\"36679680\"]\n  28 [size=\"73912320\", alpha=\"0.15\", expect_size=\"36956160\"] \n  28 -> 31 [size =\"36956160\"]\n  28 -> 32 [size =\"36956160\"]\n  28 -> 33 [size =\"36956160\"]\n  28 -> 36 [size =\"36956160\"]\n  28 -> 38 [size =\"36956160\"]\n  28 -> 40 [size =\"36956160\"]\n  28 -> 41 [size =\"36956160\"]\n  28 -> 44 [size =\"36956160\"]\n  28 -> 45 [size =\"36956160\"]\n  29 [size=\"61777920\", alpha=\"0.18\", expect_size=\"30888960\"] \n  29 -> 32 [size =\"30888960\"]\n  29 -> 35 [size =\"30888960\"]\n  29 -> 36 [size =\"30888960\"]\n  29 -> 37 [size =\"30888960\"]\n  29 -> 39 [size =\"30888960\"]\n  29 -> 41 [size =\"30888960\"]\n  29 -> 42 [size =\"30888960\"]\n  29 -> 44 [size =\"30888960\"]\n  29 -> 45 [size =\"30888960\"]\n  30 [size=\"47751168\", alpha=\"0.13\", expect_size=\"23875584\"] \n  30 -> 31 [size =\"23875584\"]\n  30 -> 32 [size =\"23875584\"]\n  30 -> 33 [size =\"23875584\"]\n  30 -> 38 [size =\"23875584\"]\n  30 -> 39 [size =\"23875584\"]\n  30 -> 42 [size =\"23875584\"]\n  30 -> 43 [size =\"23875584\"]\n  30 -> 44 [size =\"23875584\"]\n  30 -> 45 [size =\"23875584\"]\n  31 [size=\"36718592\", alpha=\"0.15\", expect_size=\"18359296\"] \n  32 [size=\"32663552\", alpha=\"0.13\", expect_size=\"16331776\"] \n  33 [size=\"28039168\", alpha=\"0.18\", expect_size=\"14019584\"] \n  34 [size=\"60569600\", alpha=\"0.18\", expect_size=\"30284800\"] \n  35 [size=\"84514816\", alpha=\"0.06\", expect_size=\"42257408\"] \n  36 [size=\"82939904\", alpha=\"0.19\", expect_size=\"41469952\"] \n  37 [size=\"92170240\", alpha=\"0.13\", expect_size=\"46085120\"] \n  38 [size=\"101920768\", alpha=\"0.09\", expect_size=\"50960384\"] \n  39 [size=\"77379584\", alpha=\"0.18\", expect_size=\"38689792\"] \n  40 [size=\"66775040\", alpha=\"0.09\", expect_size=\"33387520\"] \n  41 [size=\"31555584\", alpha=\"0.14\", expect_size=\"15777792\"] \n  42 [size=\"100024320\", alpha=\"0.14\", expect_size=\"50012160\"] \n  43 [size=\"68900864\", alpha=\"0.15\", expect_size=\"34450432\"] \n  44 [size=\"57485312\", alpha=\"0.10\", expect_size=\"28742656\"] \n  45 [size=\"48852992\", alpha=\"0.06\", expect_size=\"24426496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127146667\", alpha=\"0.18\", expect_size=\"38144000\"] \n  1 -> 3 [size =\"38144000\"]\n  1 -> 4 [size =\"38144000\"]\n  2 [size=\"140653227\", alpha=\"0.20\", expect_size=\"42195968\"] \n  2 -> 3 [size =\"42195968\"]\n  2 -> 5 [size =\"42195968\"]\n  3 [size=\"107714560\", alpha=\"0.19\", expect_size=\"32314368\"] \n  3 -> 7 [size =\"32314368\"]\n  3 -> 8 [size =\"32314368\"]\n  4 [size=\"123948373\", alpha=\"0.13\", expect_size=\"37184512\"] \n  4 -> 7 [size =\"37184512\"]\n  5 [size=\"170093227\", alpha=\"0.06\", expect_size=\"51027968\"] \n  5 -> 6 [size =\"51027968\"]\n  5 -> 7 [size =\"51027968\"]\n  6 [size=\"76294827\", alpha=\"0.18\", expect_size=\"22888448\"] \n  6 -> 10 [size =\"22888448\"]\n  7 [size=\"29549227\", alpha=\"0.11\", expect_size=\"8864768\"] \n  7 -> 10 [size =\"8864768\"]\n  8 [size=\"120890027\", alpha=\"0.17\", expect_size=\"36267008\"] \n  8 -> 9 [size =\"36267008\"]\n  8 -> 10 [size =\"36267008\"]\n  9 [size=\"18780160\", alpha=\"0.10\", expect_size=\"5634048\"] \n  9 -> 11 [size =\"5634048\"]\n  9 -> 12 [size =\"5634048\"]\n  10 [size=\"91992747\", alpha=\"0.05\", expect_size=\"27597824\"] \n  10 -> 12 [size =\"27597824\"]\n  11 [size=\"51333120\", alpha=\"0.16\", expect_size=\"15399936\"] \n  11 -> 13 [size =\"15399936\"]\n  11 -> 14 [size =\"15399936\"]\n  11 -> 15 [size =\"15399936\"]\n  12 [size=\"34321067\", alpha=\"0.10\", expect_size=\"10296320\"] \n  13 [size=\"32669013\", alpha=\"0.16\", expect_size=\"9800704\"] \n  13 -> 16 [size =\"9800704\"]\n  13 -> 17 [size =\"9800704\"]\n  13 -> 18 [size =\"9800704\"]\n  14 [size=\"25395200\", alpha=\"0.07\", expect_size=\"7618560\"] \n  14 -> 18 [size =\"7618560\"]\n  15 [size=\"128768000\", alpha=\"0.16\", expect_size=\"38630400\"] \n  15 -> 16 [size =\"38630400\"]\n  16 [size=\"20234240\", alpha=\"0.14\", expect_size=\"6070272\"] \n  16 -> 19 [size =\"6070272\"]\n  16 -> 20 [size =\"6070272\"]\n  17 [size=\"165587627\", alpha=\"0.11\", expect_size=\"49676288\"] \n  17 -> 20 [size =\"49676288\"]\n  17 -> 20 [size =\"49676288\"]\n  18 [size=\"97385813\", alpha=\"0.17\", expect_size=\"29215744\"] \n  19 [size=\"72250027\", alpha=\"0.04\", expect_size=\"21675008\"] \n  19 -> 23 [size =\"21675008\"]\n  20 [size=\"148384427\", alpha=\"0.16\", expect_size=\"44515328\"] \n  20 -> 21 [size =\"44515328\"]\n  20 -> 22 [size =\"44515328\"]\n  21 [size=\"29846187\", alpha=\"0.01\", expect_size=\"8953856\"] \n  21 -> 25 [size =\"8953856\"]\n  21 -> 26 [size =\"8953856\"]\n  22 [size=\"154344107\", alpha=\"0.02\", expect_size=\"46303232\"] \n  22 -> 24 [size =\"46303232\"]\n  22 -> 26 [size =\"46303232\"]\n  23 [size=\"77503147\", alpha=\"0.14\", expect_size=\"23250944\"] \n  23 -> 24 [size =\"23250944\"]\n  23 -> 25 [size =\"23250944\"]\n  24 [size=\"42349227\", alpha=\"0.00\", expect_size=\"12704768\"] \n  24 -> 28 [size =\"12704768\"]\n  25 [size=\"99044693\", alpha=\"0.05\", expect_size=\"29713408\"] \n  25 -> 27 [size =\"29713408\"]\n  25 -> 28 [size =\"29713408\"]\n  26 [size=\"70444373\", alpha=\"0.18\", expect_size=\"21133312\"] \n  26 -> 27 [size =\"21133312\"]\n  26 -> 28 [size =\"21133312\"]\n  27 [size=\"20299093\", alpha=\"0.12\", expect_size=\"6089728\"] \n  27 -> 29 [size =\"6089728\"]\n  27 -> 30 [size =\"6089728\"]\n  28 [size=\"106560853\", alpha=\"0.20\", expect_size=\"31968256\"] \n  29 [size=\"79428267\", alpha=\"0.08\", expect_size=\"23828480\"] \n  29 -> 32 [size =\"23828480\"]\n  30 [size=\"113612800\", alpha=\"0.05\", expect_size=\"34083840\"] \n  30 -> 31 [size =\"34083840\"]\n  30 -> 32 [size =\"34083840\"]\n  31 [size=\"79220053\", alpha=\"0.06\", expect_size=\"23766016\"] \n  31 -> 33 [size =\"23766016\"]\n  31 -> 34 [size =\"23766016\"]\n  32 [size=\"85920427\", alpha=\"0.10\", expect_size=\"25776128\"] \n  32 -> 34 [size =\"25776128\"]\n  33 [size=\"99607893\", alpha=\"0.15\", expect_size=\"29882368\"] \n  33 -> 35 [size =\"29882368\"]\n  33 -> 36 [size =\"29882368\"]\n  33 -> 37 [size =\"29882368\"]\n  34 [size=\"53237760\", alpha=\"0.02\", expect_size=\"15971328\"] \n  34 -> 35 [size =\"15971328\"]\n  34 -> 36 [size =\"15971328\"]\n  34 -> 37 [size =\"15971328\"]\n  35 [size=\"53278720\", alpha=\"0.02\", expect_size=\"15983616\"] \n  35 -> 39 [size =\"15983616\"]\n  36 [size=\"95071573\", alpha=\"0.03\", expect_size=\"28521472\"] \n  36 -> 38 [size =\"28521472\"]\n  36 -> 39 [size =\"28521472\"]\n  37 [size=\"80141653\", alpha=\"0.03\", expect_size=\"24042496\"] \n  37 -> 38 [size =\"24042496\"]\n  37 -> 39 [size =\"24042496\"]\n  38 [size=\"20565333\", alpha=\"0.13\", expect_size=\"6169600\"] \n  38 -> 40 [size =\"6169600\"]\n  38 -> 41 [size =\"6169600\"]\n  39 [size=\"19756373\", alpha=\"0.10\", expect_size=\"5926912\"] \n  39 -> 40 [size =\"5926912\"]\n  40 [size=\"79028907\", alpha=\"0.04\", expect_size=\"23708672\"] \n  40 -> 42 [size =\"23708672\"]\n  40 -> 43 [size =\"23708672\"]\n  40 -> 44 [size =\"23708672\"]\n  41 [size=\"115609600\", alpha=\"0.19\", expect_size=\"34682880\"] \n  41 -> 44 [size =\"34682880\"]\n  42 [size=\"163355307\", alpha=\"0.11\", expect_size=\"49006592\"] \n  42 -> 45 [size =\"49006592\"]\n  43 [size=\"81831253\", alpha=\"0.12\", expect_size=\"24549376\"] \n  44 [size=\"43513173\", alpha=\"0.15\", expect_size=\"13053952\"] \n  45 [size=\"56320000\", alpha=\"0.09\", expect_size=\"16896000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58596693\", alpha=\"0.16\", expect_size=\"17579008\"] \n  1 -> 33 [size =\"17579008\"]\n  1 -> 35 [size =\"17579008\"]\n  1 -> 36 [size =\"17579008\"]\n  1 -> 37 [size =\"17579008\"]\n  1 -> 40 [size =\"17579008\"]\n  1 -> 41 [size =\"17579008\"]\n  1 -> 45 [size =\"17579008\"]\n  2 [size=\"105560747\", alpha=\"0.02\", expect_size=\"31668224\"] \n  2 -> 33 [size =\"31668224\"]\n  2 -> 34 [size =\"31668224\"]\n  2 -> 35 [size =\"31668224\"]\n  2 -> 37 [size =\"31668224\"]\n  2 -> 43 [size =\"31668224\"]\n  2 -> 45 [size =\"31668224\"]\n  3 [size=\"136755200\", alpha=\"0.09\", expect_size=\"41026560\"] \n  3 -> 33 [size =\"41026560\"]\n  3 -> 34 [size =\"41026560\"]\n  3 -> 35 [size =\"41026560\"]\n  3 -> 38 [size =\"41026560\"]\n  3 -> 39 [size =\"41026560\"]\n  3 -> 40 [size =\"41026560\"]\n  3 -> 43 [size =\"41026560\"]\n  3 -> 45 [size =\"41026560\"]\n  4 [size=\"33809067\", alpha=\"0.14\", expect_size=\"10142720\"] \n  4 -> 40 [size =\"10142720\"]\n  4 -> 42 [size =\"10142720\"]\n  4 -> 43 [size =\"10142720\"]\n  5 [size=\"38645760\", alpha=\"0.01\", expect_size=\"11593728\"] \n  5 -> 35 [size =\"11593728\"]\n  5 -> 37 [size =\"11593728\"]\n  5 -> 39 [size =\"11593728\"]\n  5 -> 40 [size =\"11593728\"]\n  5 -> 41 [size =\"11593728\"]\n  5 -> 42 [size =\"11593728\"]\n  5 -> 43 [size =\"11593728\"]\n  5 -> 45 [size =\"11593728\"]\n  6 [size=\"143291733\", alpha=\"0.11\", expect_size=\"42987520\"] \n  6 -> 37 [size =\"42987520\"]\n  6 -> 40 [size =\"42987520\"]\n  6 -> 43 [size =\"42987520\"]\n  6 -> 44 [size =\"42987520\"]\n  7 [size=\"49046187\", alpha=\"0.14\", expect_size=\"14713856\"] \n  7 -> 33 [size =\"14713856\"]\n  7 -> 37 [size =\"14713856\"]\n  7 -> 39 [size =\"14713856\"]\n  7 -> 40 [size =\"14713856\"]\n  7 -> 42 [size =\"14713856\"]\n  7 -> 43 [size =\"14713856\"]\n  7 -> 45 [size =\"14713856\"]\n  8 [size=\"170837333\", alpha=\"0.11\", expect_size=\"51251200\"] \n  8 -> 37 [size =\"51251200\"]\n  8 -> 40 [size =\"51251200\"]\n  8 -> 41 [size =\"51251200\"]\n  8 -> 43 [size =\"51251200\"]\n  8 -> 45 [size =\"51251200\"]\n  9 [size=\"48902827\", alpha=\"0.17\", expect_size=\"14670848\"] \n  9 -> 31 [size =\"14670848\"]\n  9 -> 33 [size =\"14670848\"]\n  9 -> 37 [size =\"14670848\"]\n  9 -> 39 [size =\"14670848\"]\n  9 -> 40 [size =\"14670848\"]\n  9 -> 45 [size =\"14670848\"]\n  10 [size=\"53589333\", alpha=\"0.08\", expect_size=\"16076800\"] \n  10 -> 33 [size =\"16076800\"]\n  10 -> 33 [size =\"16076800\"]\n  10 -> 36 [size =\"16076800\"]\n  10 -> 38 [size =\"16076800\"]\n  10 -> 39 [size =\"16076800\"]\n  10 -> 40 [size =\"16076800\"]\n  10 -> 43 [size =\"16076800\"]\n  10 -> 45 [size =\"16076800\"]\n  11 [size=\"164160853\", alpha=\"0.09\", expect_size=\"49248256\"] \n  11 -> 32 [size =\"49248256\"]\n  11 -> 37 [size =\"49248256\"]\n  11 -> 38 [size =\"49248256\"]\n  11 -> 39 [size =\"49248256\"]\n  11 -> 41 [size =\"49248256\"]\n  11 -> 43 [size =\"49248256\"]\n  11 -> 45 [size =\"49248256\"]\n  11 -> 45 [size =\"49248256\"]\n  12 [size=\"129075200\", alpha=\"0.07\", expect_size=\"38722560\"] \n  12 -> 33 [size =\"38722560\"]\n  12 -> 34 [size =\"38722560\"]\n  12 -> 36 [size =\"38722560\"]\n  12 -> 41 [size =\"38722560\"]\n  12 -> 43 [size =\"38722560\"]\n  13 [size=\"144534187\", alpha=\"0.12\", expect_size=\"43360256\"] \n  13 -> 33 [size =\"43360256\"]\n  13 -> 34 [size =\"43360256\"]\n  13 -> 38 [size =\"43360256\"]\n  13 -> 43 [size =\"43360256\"]\n  13 -> 45 [size =\"43360256\"]\n  14 [size=\"55722667\", alpha=\"0.15\", expect_size=\"16716800\"] \n  14 -> 33 [size =\"16716800\"]\n  14 -> 36 [size =\"16716800\"]\n  14 -> 39 [size =\"16716800\"]\n  14 -> 43 [size =\"16716800\"]\n  14 -> 44 [size =\"16716800\"]\n  15 [size=\"168895147\", alpha=\"0.13\", expect_size=\"50668544\"] \n  15 -> 33 [size =\"50668544\"]\n  15 -> 35 [size =\"50668544\"]\n  15 -> 38 [size =\"50668544\"]\n  15 -> 39 [size =\"50668544\"]\n  15 -> 41 [size =\"50668544\"]\n  15 -> 42 [size =\"50668544\"]\n  15 -> 43 [size =\"50668544\"]\n  15 -> 45 [size =\"50668544\"]\n  16 [size=\"18425173\", alpha=\"0.16\", expect_size=\"5527552\"] \n  16 -> 33 [size =\"5527552\"]\n  16 -> 37 [size =\"5527552\"]\n  16 -> 38 [size =\"5527552\"]\n  16 -> 39 [size =\"5527552\"]\n  16 -> 43 [size =\"5527552\"]\n  16 -> 45 [size =\"5527552\"]\n  17 [size=\"101430613\", alpha=\"0.16\", expect_size=\"30429184\"] \n  17 -> 33 [size =\"30429184\"]\n  17 -> 37 [size =\"30429184\"]\n  17 -> 38 [size =\"30429184\"]\n  17 -> 39 [size =\"30429184\"]\n  17 -> 41 [size =\"30429184\"]\n  17 -> 43 [size =\"30429184\"]\n  17 -> 45 [size =\"30429184\"]\n  18 [size=\"53705387\", alpha=\"0.15\", expect_size=\"16111616\"] \n  18 -> 33 [size =\"16111616\"]\n  18 -> 37 [size =\"16111616\"]\n  18 -> 38 [size =\"16111616\"]\n  18 -> 39 [size =\"16111616\"]\n  18 -> 40 [size =\"16111616\"]\n  18 -> 43 [size =\"16111616\"]\n  19 [size=\"138840747\", alpha=\"0.02\", expect_size=\"41652224\"] \n  19 -> 33 [size =\"41652224\"]\n  19 -> 36 [size =\"41652224\"]\n  19 -> 37 [size =\"41652224\"]\n  19 -> 38 [size =\"41652224\"]\n  19 -> 39 [size =\"41652224\"]\n  19 -> 40 [size =\"41652224\"]\n  19 -> 43 [size =\"41652224\"]\n  19 -> 45 [size =\"41652224\"]\n  20 [size=\"118749867\", alpha=\"0.10\", expect_size=\"35624960\"] \n  20 -> 33 [size =\"35624960\"]\n  20 -> 35 [size =\"35624960\"]\n  20 -> 36 [size =\"35624960\"]\n  20 -> 37 [size =\"35624960\"]\n  20 -> 38 [size =\"35624960\"]\n  20 -> 39 [size =\"35624960\"]\n  20 -> 43 [size =\"35624960\"]\n  21 [size=\"21855573\", alpha=\"0.04\", expect_size=\"6556672\"] \n  21 -> 37 [size =\"6556672\"]\n  21 -> 38 [size =\"6556672\"]\n  21 -> 40 [size =\"6556672\"]\n  21 -> 43 [size =\"6556672\"]\n  22 [size=\"89446400\", alpha=\"0.08\", expect_size=\"26833920\"] \n  22 -> 33 [size =\"26833920\"]\n  22 -> 34 [size =\"26833920\"]\n  22 -> 36 [size =\"26833920\"]\n  22 -> 37 [size =\"26833920\"]\n  22 -> 38 [size =\"26833920\"]\n  22 -> 45 [size =\"26833920\"]\n  23 [size=\"145578667\", alpha=\"0.08\", expect_size=\"43673600\"] \n  23 -> 33 [size =\"43673600\"]\n  23 -> 35 [size =\"43673600\"]\n  23 -> 37 [size =\"43673600\"]\n  23 -> 37 [size =\"43673600\"]\n  23 -> 39 [size =\"43673600\"]\n  23 -> 43 [size =\"43673600\"]\n  24 [size=\"84217173\", alpha=\"0.10\", expect_size=\"25265152\"] \n  24 -> 33 [size =\"25265152\"]\n  24 -> 34 [size =\"25265152\"]\n  24 -> 35 [size =\"25265152\"]\n  24 -> 36 [size =\"25265152\"]\n  24 -> 39 [size =\"25265152\"]\n  24 -> 40 [size =\"25265152\"]\n  24 -> 43 [size =\"25265152\"]\n  24 -> 44 [size =\"25265152\"]\n  25 [size=\"47551147\", alpha=\"0.14\", expect_size=\"14265344\"] \n  25 -> 33 [size =\"14265344\"]\n  25 -> 35 [size =\"14265344\"]\n  25 -> 36 [size =\"14265344\"]\n  25 -> 36 [size =\"14265344\"]\n  25 -> 37 [size =\"14265344\"]\n  25 -> 40 [size =\"14265344\"]\n  25 -> 43 [size =\"14265344\"]\n  26 [size=\"150753280\", alpha=\"0.14\", expect_size=\"45225984\"] \n  26 -> 33 [size =\"45225984\"]\n  26 -> 35 [size =\"45225984\"]\n  26 -> 37 [size =\"45225984\"]\n  26 -> 43 [size =\"45225984\"]\n  27 [size=\"117698560\", alpha=\"0.19\", expect_size=\"35309568\"] \n  27 -> 33 [size =\"35309568\"]\n  27 -> 35 [size =\"35309568\"]\n  27 -> 36 [size =\"35309568\"]\n  27 -> 38 [size =\"35309568\"]\n  27 -> 42 [size =\"35309568\"]\n  28 [size=\"85835093\", alpha=\"0.03\", expect_size=\"25750528\"] \n  28 -> 33 [size =\"25750528\"]\n  28 -> 36 [size =\"25750528\"]\n  28 -> 38 [size =\"25750528\"]\n  28 -> 45 [size =\"25750528\"]\n  29 [size=\"47349760\", alpha=\"0.11\", expect_size=\"14204928\"] \n  29 -> 33 [size =\"14204928\"]\n  29 -> 36 [size =\"14204928\"]\n  29 -> 40 [size =\"14204928\"]\n  30 [size=\"64897707\", alpha=\"0.03\", expect_size=\"19469312\"] \n  30 -> 33 [size =\"19469312\"]\n  30 -> 37 [size =\"19469312\"]\n  31 [size=\"145930240\", alpha=\"0.14\", expect_size=\"43779072\"] \n  32 [size=\"174288213\", alpha=\"0.20\", expect_size=\"52286464\"] \n  33 [size=\"80766293\", alpha=\"0.01\", expect_size=\"24229888\"] \n  34 [size=\"141933227\", alpha=\"0.08\", expect_size=\"42579968\"] \n  35 [size=\"59552427\", alpha=\"0.13\", expect_size=\"17865728\"] \n  36 [size=\"169369600\", alpha=\"0.19\", expect_size=\"50810880\"] \n  37 [size=\"125337600\", alpha=\"0.16\", expect_size=\"37601280\"] \n  38 [size=\"116319573\", alpha=\"0.17\", expect_size=\"34895872\"] \n  39 [size=\"138390187\", alpha=\"0.13\", expect_size=\"41517056\"] \n  40 [size=\"65696427\", alpha=\"0.03\", expect_size=\"19708928\"] \n  41 [size=\"91634347\", alpha=\"0.13\", expect_size=\"27490304\"] \n  42 [size=\"48322560\", alpha=\"0.12\", expect_size=\"14496768\"] \n  43 [size=\"47363413\", alpha=\"0.07\", expect_size=\"14209024\"] \n  44 [size=\"58525013\", alpha=\"0.11\", expect_size=\"17557504\"] \n  45 [size=\"120057173\", alpha=\"0.19\", expect_size=\"36017152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82251093\", alpha=\"0.18\", expect_size=\"24675328\"] \n  1 -> 2 [size =\"24675328\"]\n  2 [size=\"54855680\", alpha=\"0.15\", expect_size=\"16456704\"] \n  2 -> 3 [size =\"16456704\"]\n  3 [size=\"30044160\", alpha=\"0.17\", expect_size=\"9013248\"] \n  3 -> 4 [size =\"9013248\"]\n  4 [size=\"142271147\", alpha=\"0.07\", expect_size=\"42681344\"] \n  4 -> 5 [size =\"42681344\"]\n  5 [size=\"81698133\", alpha=\"0.08\", expect_size=\"24509440\"] \n  5 -> 6 [size =\"24509440\"]\n  6 [size=\"137086293\", alpha=\"0.14\", expect_size=\"41125888\"] \n  6 -> 7 [size =\"41125888\"]\n  7 [size=\"39652693\", alpha=\"0.13\", expect_size=\"11895808\"] \n  7 -> 8 [size =\"11895808\"]\n  8 [size=\"43554133\", alpha=\"0.16\", expect_size=\"13066240\"] \n  8 -> 9 [size =\"13066240\"]\n  9 [size=\"155607040\", alpha=\"0.07\", expect_size=\"46682112\"] \n  9 -> 10 [size =\"46682112\"]\n  10 [size=\"103089493\", alpha=\"0.07\", expect_size=\"30926848\"] \n  10 -> 11 [size =\"30926848\"]\n  11 [size=\"22664533\", alpha=\"0.13\", expect_size=\"6799360\"] \n  11 -> 12 [size =\"6799360\"]\n  12 [size=\"163430400\", alpha=\"0.00\", expect_size=\"49029120\"] \n  12 -> 13 [size =\"49029120\"]\n  13 [size=\"123542187\", alpha=\"0.09\", expect_size=\"37062656\"] \n  13 -> 14 [size =\"37062656\"]\n  14 [size=\"99799040\", alpha=\"0.17\", expect_size=\"29939712\"] \n  14 -> 15 [size =\"29939712\"]\n  15 [size=\"154821973\", alpha=\"0.19\", expect_size=\"46446592\"] \n  15 -> 16 [size =\"46446592\"]\n  16 [size=\"61815467\", alpha=\"0.04\", expect_size=\"18544640\"] \n  16 -> 17 [size =\"18544640\"]\n  17 [size=\"171380053\", alpha=\"0.20\", expect_size=\"51414016\"] \n  17 -> 18 [size =\"51414016\"]\n  18 [size=\"119668053\", alpha=\"0.15\", expect_size=\"35900416\"] \n  18 -> 19 [size =\"35900416\"]\n  19 [size=\"87565653\", alpha=\"0.07\", expect_size=\"26269696\"] \n  19 -> 20 [size =\"26269696\"]\n  20 [size=\"141643093\", alpha=\"0.16\", expect_size=\"42492928\"] \n  20 -> 21 [size =\"42492928\"]\n  21 [size=\"39775573\", alpha=\"0.13\", expect_size=\"11932672\"] \n  21 -> 22 [size =\"11932672\"]\n  22 [size=\"145227093\", alpha=\"0.14\", expect_size=\"43568128\"] \n  22 -> 23 [size =\"43568128\"]\n  23 [size=\"146749440\", alpha=\"0.18\", expect_size=\"44024832\"] \n  23 -> 24 [size =\"44024832\"]\n  24 [size=\"62754133\", alpha=\"0.17\", expect_size=\"18826240\"] \n  24 -> 25 [size =\"18826240\"]\n  25 [size=\"37618347\", alpha=\"0.04\", expect_size=\"11285504\"] \n  25 -> 26 [size =\"11285504\"]\n  26 [size=\"31668907\", alpha=\"0.06\", expect_size=\"9500672\"] \n  26 -> 27 [size =\"9500672\"]\n  27 [size=\"66256213\", alpha=\"0.11\", expect_size=\"19876864\"] \n  27 -> 28 [size =\"19876864\"]\n  28 [size=\"62986240\", alpha=\"0.20\", expect_size=\"18895872\"] \n  28 -> 29 [size =\"18895872\"]\n  29 [size=\"22227627\", alpha=\"0.06\", expect_size=\"6668288\"] \n  29 -> 30 [size =\"6668288\"]\n  30 [size=\"80858453\", alpha=\"0.03\", expect_size=\"24257536\"] \n  30 -> 31 [size =\"24257536\"]\n  31 [size=\"49534293\", alpha=\"0.01\", expect_size=\"14860288\"] \n  31 -> 32 [size =\"14860288\"]\n  32 [size=\"150319787\", alpha=\"0.17\", expect_size=\"45095936\"] \n  32 -> 33 [size =\"45095936\"]\n  33 [size=\"106021547\", alpha=\"0.06\", expect_size=\"31806464\"] \n  33 -> 34 [size =\"31806464\"]\n  34 [size=\"86497280\", alpha=\"0.07\", expect_size=\"25949184\"] \n  34 -> 35 [size =\"25949184\"]\n  35 [size=\"59262293\", alpha=\"0.04\", expect_size=\"17778688\"] \n  35 -> 36 [size =\"17778688\"]\n  36 [size=\"88535040\", alpha=\"0.08\", expect_size=\"26560512\"] \n  36 -> 37 [size =\"26560512\"]\n  37 [size=\"136645973\", alpha=\"0.10\", expect_size=\"40993792\"] \n  37 -> 38 [size =\"40993792\"]\n  38 [size=\"68481707\", alpha=\"0.06\", expect_size=\"20544512\"] \n  38 -> 39 [size =\"20544512\"]\n  39 [size=\"67413333\", alpha=\"0.11\", expect_size=\"20224000\"] \n  39 -> 40 [size =\"20224000\"]\n  40 [size=\"114281813\", alpha=\"0.11\", expect_size=\"34284544\"] \n  40 -> 41 [size =\"34284544\"]\n  41 [size=\"137413973\", alpha=\"0.15\", expect_size=\"41224192\"] \n  41 -> 42 [size =\"41224192\"]\n  42 [size=\"142004907\", alpha=\"0.14\", expect_size=\"42601472\"] \n  42 -> 43 [size =\"42601472\"]\n  43 [size=\"116715520\", alpha=\"0.10\", expect_size=\"35014656\"] \n  43 -> 44 [size =\"35014656\"]\n  44 [size=\"167618560\", alpha=\"0.12\", expect_size=\"50285568\"] \n  44 -> 45 [size =\"50285568\"]\n  45 [size=\"62467413\", alpha=\"0.17\", expect_size=\"18740224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10715136\", alpha=\"0.17\", expect_size=\"5357568\"] \n  1 -> 19 [size =\"5357568\"]\n  1 -> 22 [size =\"5357568\"]\n  2 [size=\"82755584\", alpha=\"0.12\", expect_size=\"41377792\"] \n  2 -> 18 [size =\"41377792\"]\n  2 -> 20 [size =\"41377792\"]\n  2 -> 22 [size =\"41377792\"]\n  3 [size=\"53739520\", alpha=\"0.05\", expect_size=\"26869760\"] \n  3 -> 14 [size =\"26869760\"]\n  3 -> 15 [size =\"26869760\"]\n  3 -> 20 [size =\"26869760\"]\n  3 -> 21 [size =\"26869760\"]\n  3 -> 25 [size =\"26869760\"]\n  4 [size=\"96270336\", alpha=\"0.04\", expect_size=\"48135168\"] \n  4 -> 20 [size =\"48135168\"]\n  4 -> 22 [size =\"48135168\"]\n  4 -> 25 [size =\"48135168\"]\n  5 [size=\"33980416\", alpha=\"0.08\", expect_size=\"16990208\"] \n  5 -> 14 [size =\"16990208\"]\n  5 -> 17 [size =\"16990208\"]\n  5 -> 20 [size =\"16990208\"]\n  5 -> 24 [size =\"16990208\"]\n  6 [size=\"71882752\", alpha=\"0.04\", expect_size=\"35941376\"] \n  6 -> 14 [size =\"35941376\"]\n  6 -> 24 [size =\"35941376\"]\n  7 [size=\"102864896\", alpha=\"0.17\", expect_size=\"51432448\"] \n  7 -> 14 [size =\"51432448\"]\n  7 -> 18 [size =\"51432448\"]\n  8 [size=\"97718272\", alpha=\"0.02\", expect_size=\"48859136\"] \n  8 -> 18 [size =\"48859136\"]\n  8 -> 21 [size =\"48859136\"]\n  9 [size=\"29550592\", alpha=\"0.06\", expect_size=\"14775296\"] \n  9 -> 20 [size =\"14775296\"]\n  9 -> 23 [size =\"14775296\"]\n  9 -> 24 [size =\"14775296\"]\n  10 [size=\"70858752\", alpha=\"0.16\", expect_size=\"35429376\"] \n  10 -> 21 [size =\"35429376\"]\n  10 -> 23 [size =\"35429376\"]\n  11 [size=\"100802560\", alpha=\"0.14\", expect_size=\"50401280\"] \n  11 -> 14 [size =\"50401280\"]\n  11 -> 16 [size =\"50401280\"]\n  11 -> 18 [size =\"50401280\"]\n  11 -> 20 [size =\"50401280\"]\n  11 -> 21 [size =\"50401280\"]\n  11 -> 22 [size =\"50401280\"]\n  11 -> 25 [size =\"50401280\"]\n  12 [size=\"87654400\", alpha=\"0.04\", expect_size=\"43827200\"] \n  12 -> 20 [size =\"43827200\"]\n  12 -> 21 [size =\"43827200\"]\n  12 -> 22 [size =\"43827200\"]\n  12 -> 25 [size =\"43827200\"]\n  13 [size=\"47933440\", alpha=\"0.18\", expect_size=\"23966720\"] \n  13 -> 17 [size =\"23966720\"]\n  13 -> 18 [size =\"23966720\"]\n  13 -> 25 [size =\"23966720\"]\n  14 [size=\"71270400\", alpha=\"0.00\", expect_size=\"35635200\"] \n  14 -> 30 [size =\"35635200\"]\n  14 -> 32 [size =\"35635200\"]\n  15 [size=\"91082752\", alpha=\"0.17\", expect_size=\"45541376\"] \n  15 -> 26 [size =\"45541376\"]\n  15 -> 32 [size =\"45541376\"]\n  15 -> 36 [size =\"45541376\"]\n  16 [size=\"33083392\", alpha=\"0.16\", expect_size=\"16541696\"] \n  16 -> 28 [size =\"16541696\"]\n  16 -> 33 [size =\"16541696\"]\n  16 -> 35 [size =\"16541696\"]\n  17 [size=\"51892224\", alpha=\"0.15\", expect_size=\"25946112\"] \n  17 -> 27 [size =\"25946112\"]\n  17 -> 31 [size =\"25946112\"]\n  17 -> 37 [size =\"25946112\"]\n  17 -> 38 [size =\"25946112\"]\n  18 [size=\"37376000\", alpha=\"0.05\", expect_size=\"18688000\"] \n  18 -> 27 [size =\"18688000\"]\n  18 -> 28 [size =\"18688000\"]\n  18 -> 33 [size =\"18688000\"]\n  18 -> 35 [size =\"18688000\"]\n  18 -> 36 [size =\"18688000\"]\n  18 -> 37 [size =\"18688000\"]\n  18 -> 38 [size =\"18688000\"]\n  19 [size=\"47017984\", alpha=\"0.03\", expect_size=\"23508992\"] \n  19 -> 27 [size =\"23508992\"]\n  19 -> 30 [size =\"23508992\"]\n  19 -> 33 [size =\"23508992\"]\n  19 -> 34 [size =\"23508992\"]\n  19 -> 36 [size =\"23508992\"]\n  19 -> 38 [size =\"23508992\"]\n  20 [size=\"77631488\", alpha=\"0.09\", expect_size=\"38815744\"] \n  20 -> 29 [size =\"38815744\"]\n  20 -> 30 [size =\"38815744\"]\n  20 -> 34 [size =\"38815744\"]\n  20 -> 36 [size =\"38815744\"]\n  20 -> 37 [size =\"38815744\"]\n  20 -> 38 [size =\"38815744\"]\n  21 [size=\"57581568\", alpha=\"0.15\", expect_size=\"28790784\"] \n  21 -> 29 [size =\"28790784\"]\n  21 -> 30 [size =\"28790784\"]\n  21 -> 31 [size =\"28790784\"]\n  21 -> 37 [size =\"28790784\"]\n  22 [size=\"31174656\", alpha=\"0.16\", expect_size=\"15587328\"] \n  22 -> 30 [size =\"15587328\"]\n  22 -> 33 [size =\"15587328\"]\n  22 -> 35 [size =\"15587328\"]\n  22 -> 37 [size =\"15587328\"]\n  22 -> 38 [size =\"15587328\"]\n  23 [size=\"48883712\", alpha=\"0.06\", expect_size=\"24441856\"] \n  23 -> 27 [size =\"24441856\"]\n  23 -> 28 [size =\"24441856\"]\n  23 -> 30 [size =\"24441856\"]\n  23 -> 32 [size =\"24441856\"]\n  23 -> 38 [size =\"24441856\"]\n  24 [size=\"41678848\", alpha=\"0.15\", expect_size=\"20839424\"] \n  24 -> 29 [size =\"20839424\"]\n  24 -> 31 [size =\"20839424\"]\n  25 [size=\"42258432\", alpha=\"0.08\", expect_size=\"21129216\"] \n  25 -> 33 [size =\"21129216\"]\n  25 -> 37 [size =\"21129216\"]\n  26 [size=\"27244544\", alpha=\"0.14\", expect_size=\"13622272\"] \n  26 -> 39 [size =\"13622272\"]\n  26 -> 41 [size =\"13622272\"]\n  27 [size=\"103157760\", alpha=\"0.00\", expect_size=\"51578880\"] \n  27 -> 40 [size =\"51578880\"]\n  27 -> 45 [size =\"51578880\"]\n  28 [size=\"77864960\", alpha=\"0.05\", expect_size=\"38932480\"] \n  28 -> 41 [size =\"38932480\"]\n  28 -> 44 [size =\"38932480\"]\n  29 [size=\"99819520\", alpha=\"0.13\", expect_size=\"49909760\"] \n  30 [size=\"21663744\", alpha=\"0.15\", expect_size=\"10831872\"] \n  30 -> 39 [size =\"10831872\"]\n  30 -> 45 [size =\"10831872\"]\n  31 [size=\"64829440\", alpha=\"0.15\", expect_size=\"32414720\"] \n  32 [size=\"40802304\", alpha=\"0.12\", expect_size=\"20401152\"] \n  32 -> 39 [size =\"20401152\"]\n  32 -> 41 [size =\"20401152\"]\n  33 [size=\"21852160\", alpha=\"0.17\", expect_size=\"10926080\"] \n  33 -> 39 [size =\"10926080\"]\n  33 -> 40 [size =\"10926080\"]\n  33 -> 41 [size =\"10926080\"]\n  34 [size=\"51234816\", alpha=\"0.14\", expect_size=\"25617408\"] \n  34 -> 39 [size =\"25617408\"]\n  34 -> 40 [size =\"25617408\"]\n  34 -> 44 [size =\"25617408\"]\n  35 [size=\"25991168\", alpha=\"0.09\", expect_size=\"12995584\"] \n  35 -> 39 [size =\"12995584\"]\n  35 -> 41 [size =\"12995584\"]\n  35 -> 43 [size =\"12995584\"]\n  36 [size=\"63989760\", alpha=\"0.09\", expect_size=\"31994880\"] \n  36 -> 42 [size =\"31994880\"]\n  36 -> 44 [size =\"31994880\"]\n  37 [size=\"37881856\", alpha=\"0.17\", expect_size=\"18940928\"] \n  37 -> 44 [size =\"18940928\"]\n  37 -> 44 [size =\"18940928\"]\n  38 [size=\"40050688\", alpha=\"0.11\", expect_size=\"20025344\"] \n  38 -> 40 [size =\"20025344\"]\n  38 -> 41 [size =\"20025344\"]\n  38 -> 44 [size =\"20025344\"]\n  39 [size=\"63356928\", alpha=\"0.13\", expect_size=\"31678464\"] \n  40 [size=\"32491520\", alpha=\"0.09\", expect_size=\"16245760\"] \n  41 [size=\"102203392\", alpha=\"0.14\", expect_size=\"51101696\"] \n  42 [size=\"79693824\", alpha=\"0.05\", expect_size=\"39846912\"] \n  43 [size=\"42131456\", alpha=\"0.03\", expect_size=\"21065728\"] \n  44 [size=\"26966016\", alpha=\"0.08\", expect_size=\"13483008\"] \n  45 [size=\"94982144\", alpha=\"0.00\", expect_size=\"47491072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65906688\", alpha=\"0.20\", expect_size=\"32953344\"] \n  1 -> 7 [size =\"32953344\"]\n  1 -> 8 [size =\"32953344\"]\n  1 -> 10 [size =\"32953344\"]\n  1 -> 11 [size =\"32953344\"]\n  2 [size=\"17104896\", alpha=\"0.00\", expect_size=\"8552448\"] \n  2 -> 8 [size =\"8552448\"]\n  2 -> 8 [size =\"8552448\"]\n  2 -> 10 [size =\"8552448\"]\n  3 [size=\"65024000\", alpha=\"0.03\", expect_size=\"32512000\"] \n  3 -> 7 [size =\"32512000\"]\n  3 -> 10 [size =\"32512000\"]\n  3 -> 12 [size =\"32512000\"]\n  3 -> 13 [size =\"32512000\"]\n  4 [size=\"93317120\", alpha=\"0.10\", expect_size=\"46658560\"] \n  4 -> 7 [size =\"46658560\"]\n  4 -> 8 [size =\"46658560\"]\n  4 -> 12 [size =\"46658560\"]\n  5 [size=\"69494784\", alpha=\"0.08\", expect_size=\"34747392\"] \n  5 -> 7 [size =\"34747392\"]\n  5 -> 8 [size =\"34747392\"]\n  5 -> 9 [size =\"34747392\"]\n  5 -> 10 [size =\"34747392\"]\n  5 -> 11 [size =\"34747392\"]\n  5 -> 12 [size =\"34747392\"]\n  6 [size=\"75606016\", alpha=\"0.18\", expect_size=\"37803008\"] \n  6 -> 7 [size =\"37803008\"]\n  6 -> 10 [size =\"37803008\"]\n  6 -> 11 [size =\"37803008\"]\n  6 -> 12 [size =\"37803008\"]\n  7 [size=\"99586048\", alpha=\"0.18\", expect_size=\"49793024\"] \n  7 -> 16 [size =\"49793024\"]\n  8 [size=\"66676736\", alpha=\"0.12\", expect_size=\"33338368\"] \n  8 -> 14 [size =\"33338368\"]\n  8 -> 16 [size =\"33338368\"]\n  9 [size=\"36288512\", alpha=\"0.11\", expect_size=\"18144256\"] \n  9 -> 14 [size =\"18144256\"]\n  10 [size=\"71878656\", alpha=\"0.13\", expect_size=\"35939328\"] \n  10 -> 15 [size =\"35939328\"]\n  11 [size=\"59035648\", alpha=\"0.18\", expect_size=\"29517824\"] \n  11 -> 14 [size =\"29517824\"]\n  11 -> 16 [size =\"29517824\"]\n  12 [size=\"57810944\", alpha=\"0.19\", expect_size=\"28905472\"] \n  13 [size=\"60112896\", alpha=\"0.12\", expect_size=\"30056448\"] \n  13 -> 15 [size =\"30056448\"]\n  14 [size=\"72058880\", alpha=\"0.18\", expect_size=\"36029440\"] \n  14 -> 17 [size =\"36029440\"]\n  14 -> 18 [size =\"36029440\"]\n  14 -> 21 [size =\"36029440\"]\n  14 -> 22 [size =\"36029440\"]\n  14 -> 23 [size =\"36029440\"]\n  15 [size=\"24092672\", alpha=\"0.14\", expect_size=\"12046336\"] \n  15 -> 17 [size =\"12046336\"]\n  15 -> 18 [size =\"12046336\"]\n  15 -> 19 [size =\"12046336\"]\n  15 -> 20 [size =\"12046336\"]\n  15 -> 22 [size =\"12046336\"]\n  15 -> 23 [size =\"12046336\"]\n  15 -> 24 [size =\"12046336\"]\n  16 [size=\"62382080\", alpha=\"0.11\", expect_size=\"31191040\"] \n  16 -> 17 [size =\"31191040\"]\n  16 -> 18 [size =\"31191040\"]\n  16 -> 22 [size =\"31191040\"]\n  16 -> 23 [size =\"31191040\"]\n  16 -> 24 [size =\"31191040\"]\n  17 [size=\"53760000\", alpha=\"0.12\", expect_size=\"26880000\"] \n  17 -> 26 [size =\"26880000\"]\n  17 -> 27 [size =\"26880000\"]\n  17 -> 28 [size =\"26880000\"]\n  17 -> 29 [size =\"26880000\"]\n  18 [size=\"46036992\", alpha=\"0.13\", expect_size=\"23018496\"] \n  18 -> 25 [size =\"23018496\"]\n  18 -> 26 [size =\"23018496\"]\n  18 -> 28 [size =\"23018496\"]\n  18 -> 29 [size =\"23018496\"]\n  19 [size=\"100679680\", alpha=\"0.17\", expect_size=\"50339840\"] \n  19 -> 26 [size =\"50339840\"]\n  19 -> 29 [size =\"50339840\"]\n  20 [size=\"57665536\", alpha=\"0.18\", expect_size=\"28832768\"] \n  20 -> 26 [size =\"28832768\"]\n  20 -> 28 [size =\"28832768\"]\n  20 -> 29 [size =\"28832768\"]\n  21 [size=\"23320576\", alpha=\"0.10\", expect_size=\"11660288\"] \n  21 -> 26 [size =\"11660288\"]\n  22 [size=\"13453312\", alpha=\"0.05\", expect_size=\"6726656\"] \n  22 -> 25 [size =\"6726656\"]\n  22 -> 26 [size =\"6726656\"]\n  22 -> 28 [size =\"6726656\"]\n  23 [size=\"103895040\", alpha=\"0.10\", expect_size=\"51947520\"] \n  23 -> 25 [size =\"51947520\"]\n  23 -> 26 [size =\"51947520\"]\n  24 [size=\"66435072\", alpha=\"0.14\", expect_size=\"33217536\"] \n  24 -> 25 [size =\"33217536\"]\n  24 -> 27 [size =\"33217536\"]\n  25 [size=\"56369152\", alpha=\"0.09\", expect_size=\"28184576\"] \n  25 -> 31 [size =\"28184576\"]\n  25 -> 34 [size =\"28184576\"]\n  25 -> 35 [size =\"28184576\"]\n  26 [size=\"30230528\", alpha=\"0.19\", expect_size=\"15115264\"] \n  26 -> 30 [size =\"15115264\"]\n  26 -> 31 [size =\"15115264\"]\n  26 -> 34 [size =\"15115264\"]\n  26 -> 36 [size =\"15115264\"]\n  27 [size=\"82546688\", alpha=\"0.07\", expect_size=\"41273344\"] \n  27 -> 30 [size =\"41273344\"]\n  27 -> 31 [size =\"41273344\"]\n  27 -> 32 [size =\"41273344\"]\n  27 -> 33 [size =\"41273344\"]\n  27 -> 34 [size =\"41273344\"]\n  28 [size=\"42743808\", alpha=\"0.08\", expect_size=\"21371904\"] \n  28 -> 31 [size =\"21371904\"]\n  28 -> 33 [size =\"21371904\"]\n  28 -> 34 [size =\"21371904\"]\n  29 [size=\"11679744\", alpha=\"0.13\", expect_size=\"5839872\"] \n  29 -> 31 [size =\"5839872\"]\n  29 -> 34 [size =\"5839872\"]\n  29 -> 35 [size =\"5839872\"]\n  29 -> 37 [size =\"5839872\"]\n  30 [size=\"90789888\", alpha=\"0.12\", expect_size=\"45394944\"] \n  30 -> 38 [size =\"45394944\"]\n  30 -> 39 [size =\"45394944\"]\n  30 -> 40 [size =\"45394944\"]\n  31 [size=\"80177152\", alpha=\"0.01\", expect_size=\"40088576\"] \n  31 -> 38 [size =\"40088576\"]\n  31 -> 40 [size =\"40088576\"]\n  31 -> 40 [size =\"40088576\"]\n  32 [size=\"35260416\", alpha=\"0.01\", expect_size=\"17630208\"] \n  32 -> 38 [size =\"17630208\"]\n  33 [size=\"57032704\", alpha=\"0.10\", expect_size=\"28516352\"] \n  33 -> 40 [size =\"28516352\"]\n  34 [size=\"11290624\", alpha=\"0.13\", expect_size=\"5645312\"] \n  34 -> 39 [size =\"5645312\"]\n  35 [size=\"75237376\", alpha=\"0.18\", expect_size=\"37618688\"] \n  36 [size=\"24766464\", alpha=\"0.15\", expect_size=\"12383232\"] \n  36 -> 38 [size =\"12383232\"]\n  36 -> 40 [size =\"12383232\"]\n  37 [size=\"19372032\", alpha=\"0.01\", expect_size=\"9686016\"] \n  37 -> 39 [size =\"9686016\"]\n  37 -> 40 [size =\"9686016\"]\n  38 [size=\"53780480\", alpha=\"0.14\", expect_size=\"26890240\"] \n  38 -> 42 [size =\"26890240\"]\n  38 -> 43 [size =\"26890240\"]\n  38 -> 44 [size =\"26890240\"]\n  39 [size=\"89815040\", alpha=\"0.07\", expect_size=\"44907520\"] \n  39 -> 41 [size =\"44907520\"]\n  39 -> 42 [size =\"44907520\"]\n  39 -> 43 [size =\"44907520\"]\n  39 -> 44 [size =\"44907520\"]\n  39 -> 45 [size =\"44907520\"]\n  40 [size=\"58906624\", alpha=\"0.09\", expect_size=\"29453312\"] \n  40 -> 41 [size =\"29453312\"]\n  40 -> 42 [size =\"29453312\"]\n  40 -> 43 [size =\"29453312\"]\n  40 -> 45 [size =\"29453312\"]\n  41 [size=\"22448128\", alpha=\"0.14\", expect_size=\"11224064\"] \n  42 [size=\"28993536\", alpha=\"0.20\", expect_size=\"14496768\"] \n  43 [size=\"31494144\", alpha=\"0.05\", expect_size=\"15747072\"] \n  44 [size=\"79581184\", alpha=\"0.03\", expect_size=\"39790592\"] \n  45 [size=\"46082048\", alpha=\"0.10\", expect_size=\"23041024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126174720\", alpha=\"0.09\", expect_size=\"50469888\"] \n  1 -> 11 [size =\"50469888\"]\n  1 -> 12 [size =\"50469888\"]\n  1 -> 13 [size =\"50469888\"]\n  2 [size=\"73423360\", alpha=\"0.17\", expect_size=\"29369344\"] \n  2 -> 11 [size =\"29369344\"]\n  3 [size=\"87925760\", alpha=\"0.01\", expect_size=\"35170304\"] \n  3 -> 9 [size =\"35170304\"]\n  3 -> 12 [size =\"35170304\"]\n  3 -> 14 [size =\"35170304\"]\n  4 [size=\"130736640\", alpha=\"0.14\", expect_size=\"52294656\"] \n  4 -> 9 [size =\"52294656\"]\n  4 -> 10 [size =\"52294656\"]\n  4 -> 11 [size =\"52294656\"]\n  4 -> 14 [size =\"52294656\"]\n  5 [size=\"51330560\", alpha=\"0.09\", expect_size=\"20532224\"] \n  5 -> 9 [size =\"20532224\"]\n  5 -> 13 [size =\"20532224\"]\n  6 [size=\"109995520\", alpha=\"0.16\", expect_size=\"43998208\"] \n  6 -> 9 [size =\"43998208\"]\n  6 -> 13 [size =\"43998208\"]\n  7 [size=\"57794560\", alpha=\"0.08\", expect_size=\"23117824\"] \n  7 -> 9 [size =\"23117824\"]\n  7 -> 12 [size =\"23117824\"]\n  7 -> 14 [size =\"23117824\"]\n  8 [size=\"26851840\", alpha=\"0.07\", expect_size=\"10740736\"] \n  8 -> 11 [size =\"10740736\"]\n  9 [size=\"130608640\", alpha=\"0.00\", expect_size=\"52243456\"] \n  9 -> 17 [size =\"52243456\"]\n  9 -> 19 [size =\"52243456\"]\n  10 [size=\"84313600\", alpha=\"0.17\", expect_size=\"33725440\"] \n  10 -> 17 [size =\"33725440\"]\n  10 -> 20 [size =\"33725440\"]\n  10 -> 21 [size =\"33725440\"]\n  11 [size=\"62650880\", alpha=\"0.01\", expect_size=\"25060352\"] \n  11 -> 15 [size =\"25060352\"]\n  11 -> 18 [size =\"25060352\"]\n  11 -> 19 [size =\"25060352\"]\n  12 [size=\"113548800\", alpha=\"0.19\", expect_size=\"45419520\"] \n  12 -> 18 [size =\"45419520\"]\n  12 -> 19 [size =\"45419520\"]\n  13 [size=\"98060800\", alpha=\"0.00\", expect_size=\"39224320\"] \n  13 -> 16 [size =\"39224320\"]\n  13 -> 21 [size =\"39224320\"]\n  14 [size=\"106035200\", alpha=\"0.18\", expect_size=\"42414080\"] \n  14 -> 20 [size =\"42414080\"]\n  15 [size=\"68408320\", alpha=\"0.14\", expect_size=\"27363328\"] \n  15 -> 26 [size =\"27363328\"]\n  16 [size=\"120696320\", alpha=\"0.03\", expect_size=\"48278528\"] \n  16 -> 22 [size =\"48278528\"]\n  16 -> 23 [size =\"48278528\"]\n  16 -> 25 [size =\"48278528\"]\n  16 -> 26 [size =\"48278528\"]\n  17 [size=\"96698880\", alpha=\"0.10\", expect_size=\"38679552\"] \n  17 -> 22 [size =\"38679552\"]\n  17 -> 26 [size =\"38679552\"]\n  18 [size=\"28528640\", alpha=\"0.15\", expect_size=\"11411456\"] \n  18 -> 27 [size =\"11411456\"]\n  19 [size=\"67852800\", alpha=\"0.10\", expect_size=\"27141120\"] \n  19 -> 24 [size =\"27141120\"]\n  19 -> 25 [size =\"27141120\"]\n  20 [size=\"69657600\", alpha=\"0.10\", expect_size=\"27863040\"] \n  20 -> 22 [size =\"27863040\"]\n  20 -> 24 [size =\"27863040\"]\n  20 -> 25 [size =\"27863040\"]\n  20 -> 27 [size =\"27863040\"]\n  21 [size=\"50903040\", alpha=\"0.09\", expect_size=\"20361216\"] \n  21 -> 22 [size =\"20361216\"]\n  21 -> 25 [size =\"20361216\"]\n  21 -> 27 [size =\"20361216\"]\n  22 [size=\"55879680\", alpha=\"0.18\", expect_size=\"22351872\"] \n  22 -> 28 [size =\"22351872\"]\n  22 -> 29 [size =\"22351872\"]\n  22 -> 31 [size =\"22351872\"]\n  23 [size=\"48785920\", alpha=\"0.00\", expect_size=\"19514368\"] \n  23 -> 29 [size =\"19514368\"]\n  23 -> 30 [size =\"19514368\"]\n  24 [size=\"49459200\", alpha=\"0.02\", expect_size=\"19783680\"] \n  24 -> 28 [size =\"19783680\"]\n  24 -> 30 [size =\"19783680\"]\n  24 -> 31 [size =\"19783680\"]\n  25 [size=\"39779840\", alpha=\"0.10\", expect_size=\"15911936\"] \n  25 -> 28 [size =\"15911936\"]\n  25 -> 30 [size =\"15911936\"]\n  26 [size=\"121815040\", alpha=\"0.15\", expect_size=\"48726016\"] \n  26 -> 28 [size =\"48726016\"]\n  27 [size=\"20016640\", alpha=\"0.08\", expect_size=\"8006656\"] \n  27 -> 31 [size =\"8006656\"]\n  28 [size=\"80453120\", alpha=\"0.02\", expect_size=\"32181248\"] \n  28 -> 33 [size =\"32181248\"]\n  28 -> 34 [size =\"32181248\"]\n  28 -> 37 [size =\"32181248\"]\n  29 [size=\"50928640\", alpha=\"0.17\", expect_size=\"20371456\"] \n  29 -> 36 [size =\"20371456\"]\n  29 -> 38 [size =\"20371456\"]\n  30 [size=\"109260800\", alpha=\"0.04\", expect_size=\"43704320\"] \n  30 -> 33 [size =\"43704320\"]\n  30 -> 35 [size =\"43704320\"]\n  30 -> 37 [size =\"43704320\"]\n  30 -> 38 [size =\"43704320\"]\n  31 [size=\"48896000\", alpha=\"0.19\", expect_size=\"19558400\"] \n  31 -> 32 [size =\"19558400\"]\n  31 -> 33 [size =\"19558400\"]\n  31 -> 36 [size =\"19558400\"]\n  31 -> 37 [size =\"19558400\"]\n  32 [size=\"100866560\", alpha=\"0.11\", expect_size=\"40346624\"] \n  32 -> 40 [size =\"40346624\"]\n  32 -> 44 [size =\"40346624\"]\n  33 [size=\"89564160\", alpha=\"0.17\", expect_size=\"35825664\"] \n  33 -> 40 [size =\"35825664\"]\n  33 -> 43 [size =\"35825664\"]\n  33 -> 44 [size =\"35825664\"]\n  34 [size=\"89807360\", alpha=\"0.20\", expect_size=\"35922944\"] \n  34 -> 41 [size =\"35922944\"]\n  34 -> 45 [size =\"35922944\"]\n  35 [size=\"101258240\", alpha=\"0.11\", expect_size=\"40503296\"] \n  35 -> 39 [size =\"40503296\"]\n  35 -> 40 [size =\"40503296\"]\n  35 -> 41 [size =\"40503296\"]\n  35 -> 44 [size =\"40503296\"]\n  36 [size=\"44180480\", alpha=\"0.01\", expect_size=\"17672192\"] \n  36 -> 41 [size =\"17672192\"]\n  36 -> 42 [size =\"17672192\"]\n  37 [size=\"15459840\", alpha=\"0.05\", expect_size=\"6183936\"] \n  37 -> 40 [size =\"6183936\"]\n  37 -> 44 [size =\"6183936\"]\n  38 [size=\"59788800\", alpha=\"0.12\", expect_size=\"23915520\"] \n  38 -> 43 [size =\"23915520\"]\n  39 [size=\"72944640\", alpha=\"0.08\", expect_size=\"29177856\"] \n  40 [size=\"54466560\", alpha=\"0.14\", expect_size=\"21786624\"] \n  41 [size=\"75560960\", alpha=\"0.06\", expect_size=\"30224384\"] \n  42 [size=\"67809280\", alpha=\"0.05\", expect_size=\"27123712\"] \n  43 [size=\"13685760\", alpha=\"0.10\", expect_size=\"5474304\"] \n  44 [size=\"116111360\", alpha=\"0.02\", expect_size=\"46444544\"] \n  45 [size=\"114119680\", alpha=\"0.17\", expect_size=\"45647872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106014720\", alpha=\"0.12\", expect_size=\"42405888\"] \n  1 -> 30 [size =\"42405888\"]\n  1 -> 30 [size =\"42405888\"]\n  1 -> 31 [size =\"42405888\"]\n  1 -> 34 [size =\"42405888\"]\n  1 -> 35 [size =\"42405888\"]\n  1 -> 36 [size =\"42405888\"]\n  1 -> 38 [size =\"42405888\"]\n  1 -> 39 [size =\"42405888\"]\n  1 -> 40 [size =\"42405888\"]\n  1 -> 43 [size =\"42405888\"]\n  2 [size=\"44695040\", alpha=\"0.11\", expect_size=\"17878016\"] \n  2 -> 28 [size =\"17878016\"]\n  2 -> 29 [size =\"17878016\"]\n  2 -> 30 [size =\"17878016\"]\n  2 -> 33 [size =\"17878016\"]\n  2 -> 34 [size =\"17878016\"]\n  2 -> 36 [size =\"17878016\"]\n  2 -> 39 [size =\"17878016\"]\n  2 -> 39 [size =\"17878016\"]\n  2 -> 43 [size =\"17878016\"]\n  2 -> 44 [size =\"17878016\"]\n  3 [size=\"49981440\", alpha=\"0.11\", expect_size=\"19992576\"] \n  3 -> 35 [size =\"19992576\"]\n  3 -> 36 [size =\"19992576\"]\n  3 -> 37 [size =\"19992576\"]\n  3 -> 39 [size =\"19992576\"]\n  3 -> 40 [size =\"19992576\"]\n  3 -> 41 [size =\"19992576\"]\n  3 -> 43 [size =\"19992576\"]\n  3 -> 45 [size =\"19992576\"]\n  4 [size=\"39280640\", alpha=\"0.05\", expect_size=\"15712256\"] \n  4 -> 28 [size =\"15712256\"]\n  4 -> 29 [size =\"15712256\"]\n  4 -> 33 [size =\"15712256\"]\n  4 -> 36 [size =\"15712256\"]\n  4 -> 38 [size =\"15712256\"]\n  4 -> 39 [size =\"15712256\"]\n  5 [size=\"77911040\", alpha=\"0.17\", expect_size=\"31164416\"] \n  5 -> 28 [size =\"31164416\"]\n  5 -> 29 [size =\"31164416\"]\n  5 -> 33 [size =\"31164416\"]\n  5 -> 34 [size =\"31164416\"]\n  5 -> 35 [size =\"31164416\"]\n  5 -> 37 [size =\"31164416\"]\n  5 -> 39 [size =\"31164416\"]\n  5 -> 43 [size =\"31164416\"]\n  6 [size=\"65108480\", alpha=\"0.03\", expect_size=\"26043392\"] \n  6 -> 29 [size =\"26043392\"]\n  6 -> 30 [size =\"26043392\"]\n  6 -> 31 [size =\"26043392\"]\n  6 -> 34 [size =\"26043392\"]\n  6 -> 36 [size =\"26043392\"]\n  6 -> 39 [size =\"26043392\"]\n  6 -> 44 [size =\"26043392\"]\n  7 [size=\"121863680\", alpha=\"0.04\", expect_size=\"48745472\"] \n  7 -> 29 [size =\"48745472\"]\n  7 -> 30 [size =\"48745472\"]\n  7 -> 33 [size =\"48745472\"]\n  7 -> 36 [size =\"48745472\"]\n  7 -> 39 [size =\"48745472\"]\n  7 -> 43 [size =\"48745472\"]\n  7 -> 45 [size =\"48745472\"]\n  8 [size=\"34700800\", alpha=\"0.07\", expect_size=\"13880320\"] \n  8 -> 33 [size =\"13880320\"]\n  8 -> 34 [size =\"13880320\"]\n  8 -> 36 [size =\"13880320\"]\n  8 -> 39 [size =\"13880320\"]\n  8 -> 39 [size =\"13880320\"]\n  8 -> 41 [size =\"13880320\"]\n  8 -> 43 [size =\"13880320\"]\n  8 -> 45 [size =\"13880320\"]\n  9 [size=\"47695360\", alpha=\"0.16\", expect_size=\"19078144\"] \n  9 -> 29 [size =\"19078144\"]\n  9 -> 30 [size =\"19078144\"]\n  9 -> 31 [size =\"19078144\"]\n  9 -> 34 [size =\"19078144\"]\n  9 -> 37 [size =\"19078144\"]\n  9 -> 38 [size =\"19078144\"]\n  9 -> 39 [size =\"19078144\"]\n  9 -> 41 [size =\"19078144\"]\n  9 -> 44 [size =\"19078144\"]\n  9 -> 45 [size =\"19078144\"]\n  10 [size=\"55859200\", alpha=\"0.18\", expect_size=\"22343680\"] \n  10 -> 30 [size =\"22343680\"]\n  10 -> 31 [size =\"22343680\"]\n  10 -> 33 [size =\"22343680\"]\n  10 -> 36 [size =\"22343680\"]\n  10 -> 37 [size =\"22343680\"]\n  10 -> 38 [size =\"22343680\"]\n  10 -> 41 [size =\"22343680\"]\n  10 -> 43 [size =\"22343680\"]\n  10 -> 44 [size =\"22343680\"]\n  10 -> 45 [size =\"22343680\"]\n  11 [size=\"95032320\", alpha=\"0.13\", expect_size=\"38012928\"] \n  11 -> 32 [size =\"38012928\"]\n  11 -> 33 [size =\"38012928\"]\n  11 -> 33 [size =\"38012928\"]\n  11 -> 36 [size =\"38012928\"]\n  11 -> 37 [size =\"38012928\"]\n  11 -> 38 [size =\"38012928\"]\n  11 -> 39 [size =\"38012928\"]\n  11 -> 43 [size =\"38012928\"]\n  11 -> 44 [size =\"38012928\"]\n  11 -> 45 [size =\"38012928\"]\n  12 [size=\"49638400\", alpha=\"0.13\", expect_size=\"19855360\"] \n  12 -> 29 [size =\"19855360\"]\n  12 -> 31 [size =\"19855360\"]\n  12 -> 33 [size =\"19855360\"]\n  12 -> 34 [size =\"19855360\"]\n  12 -> 38 [size =\"19855360\"]\n  12 -> 39 [size =\"19855360\"]\n  12 -> 43 [size =\"19855360\"]\n  12 -> 43 [size =\"19855360\"]\n  12 -> 44 [size =\"19855360\"]\n  12 -> 45 [size =\"19855360\"]\n  13 [size=\"114060800\", alpha=\"0.05\", expect_size=\"45624320\"] \n  13 -> 29 [size =\"45624320\"]\n  13 -> 30 [size =\"45624320\"]\n  13 -> 31 [size =\"45624320\"]\n  13 -> 33 [size =\"45624320\"]\n  13 -> 34 [size =\"45624320\"]\n  13 -> 36 [size =\"45624320\"]\n  13 -> 38 [size =\"45624320\"]\n  13 -> 43 [size =\"45624320\"]\n  13 -> 45 [size =\"45624320\"]\n  14 [size=\"58286080\", alpha=\"0.09\", expect_size=\"23314432\"] \n  14 -> 29 [size =\"23314432\"]\n  14 -> 33 [size =\"23314432\"]\n  14 -> 34 [size =\"23314432\"]\n  14 -> 37 [size =\"23314432\"]\n  14 -> 41 [size =\"23314432\"]\n  14 -> 44 [size =\"23314432\"]\n  14 -> 45 [size =\"23314432\"]\n  15 [size=\"85888000\", alpha=\"0.08\", expect_size=\"34355200\"] \n  15 -> 30 [size =\"34355200\"]\n  15 -> 31 [size =\"34355200\"]\n  15 -> 33 [size =\"34355200\"]\n  15 -> 34 [size =\"34355200\"]\n  15 -> 36 [size =\"34355200\"]\n  15 -> 44 [size =\"34355200\"]\n  15 -> 45 [size =\"34355200\"]\n  16 [size=\"68869120\", alpha=\"0.10\", expect_size=\"27547648\"] \n  16 -> 29 [size =\"27547648\"]\n  16 -> 31 [size =\"27547648\"]\n  16 -> 33 [size =\"27547648\"]\n  16 -> 34 [size =\"27547648\"]\n  16 -> 36 [size =\"27547648\"]\n  16 -> 38 [size =\"27547648\"]\n  16 -> 39 [size =\"27547648\"]\n  16 -> 40 [size =\"27547648\"]\n  16 -> 43 [size =\"27547648\"]\n  16 -> 44 [size =\"27547648\"]\n  16 -> 45 [size =\"27547648\"]\n  17 [size=\"85626880\", alpha=\"0.01\", expect_size=\"34250752\"] \n  17 -> 33 [size =\"34250752\"]\n  17 -> 34 [size =\"34250752\"]\n  17 -> 35 [size =\"34250752\"]\n  17 -> 37 [size =\"34250752\"]\n  17 -> 38 [size =\"34250752\"]\n  17 -> 38 [size =\"34250752\"]\n  17 -> 39 [size =\"34250752\"]\n  17 -> 41 [size =\"34250752\"]\n  17 -> 43 [size =\"34250752\"]\n  17 -> 44 [size =\"34250752\"]\n  17 -> 45 [size =\"34250752\"]\n  18 [size=\"111605760\", alpha=\"0.16\", expect_size=\"44642304\"] \n  18 -> 29 [size =\"44642304\"]\n  18 -> 33 [size =\"44642304\"]\n  18 -> 34 [size =\"44642304\"]\n  18 -> 38 [size =\"44642304\"]\n  18 -> 43 [size =\"44642304\"]\n  18 -> 44 [size =\"44642304\"]\n  18 -> 45 [size =\"44642304\"]\n  19 [size=\"32504320\", alpha=\"0.12\", expect_size=\"13001728\"] \n  19 -> 29 [size =\"13001728\"]\n  19 -> 33 [size =\"13001728\"]\n  19 -> 34 [size =\"13001728\"]\n  19 -> 36 [size =\"13001728\"]\n  19 -> 38 [size =\"13001728\"]\n  19 -> 39 [size =\"13001728\"]\n  19 -> 43 [size =\"13001728\"]\n  19 -> 44 [size =\"13001728\"]\n  19 -> 45 [size =\"13001728\"]\n  20 [size=\"125952000\", alpha=\"0.03\", expect_size=\"50380800\"] \n  20 -> 33 [size =\"50380800\"]\n  20 -> 33 [size =\"50380800\"]\n  20 -> 34 [size =\"50380800\"]\n  20 -> 36 [size =\"50380800\"]\n  20 -> 37 [size =\"50380800\"]\n  20 -> 39 [size =\"50380800\"]\n  20 -> 41 [size =\"50380800\"]\n  20 -> 43 [size =\"50380800\"]\n  20 -> 45 [size =\"50380800\"]\n  21 [size=\"112604160\", alpha=\"0.10\", expect_size=\"45041664\"] \n  21 -> 31 [size =\"45041664\"]\n  21 -> 33 [size =\"45041664\"]\n  21 -> 36 [size =\"45041664\"]\n  21 -> 36 [size =\"45041664\"]\n  21 -> 38 [size =\"45041664\"]\n  21 -> 39 [size =\"45041664\"]\n  21 -> 45 [size =\"45041664\"]\n  22 [size=\"69299200\", alpha=\"0.03\", expect_size=\"27719680\"] \n  22 -> 36 [size =\"27719680\"]\n  22 -> 37 [size =\"27719680\"]\n  22 -> 43 [size =\"27719680\"]\n  22 -> 45 [size =\"27719680\"]\n  23 [size=\"30300160\", alpha=\"0.01\", expect_size=\"12120064\"] \n  23 -> 30 [size =\"12120064\"]\n  23 -> 33 [size =\"12120064\"]\n  23 -> 36 [size =\"12120064\"]\n  23 -> 37 [size =\"12120064\"]\n  23 -> 38 [size =\"12120064\"]\n  23 -> 39 [size =\"12120064\"]\n  23 -> 43 [size =\"12120064\"]\n  23 -> 44 [size =\"12120064\"]\n  23 -> 45 [size =\"12120064\"]\n  24 [size=\"61946880\", alpha=\"0.05\", expect_size=\"24778752\"] \n  24 -> 34 [size =\"24778752\"]\n  24 -> 35 [size =\"24778752\"]\n  24 -> 36 [size =\"24778752\"]\n  24 -> 37 [size =\"24778752\"]\n  24 -> 39 [size =\"24778752\"]\n  24 -> 42 [size =\"24778752\"]\n  24 -> 44 [size =\"24778752\"]\n  24 -> 45 [size =\"24778752\"]\n  24 -> 45 [size =\"24778752\"]\n  25 [size=\"113564160\", alpha=\"0.19\", expect_size=\"45425664\"] \n  25 -> 30 [size =\"45425664\"]\n  25 -> 32 [size =\"45425664\"]\n  25 -> 33 [size =\"45425664\"]\n  25 -> 34 [size =\"45425664\"]\n  25 -> 36 [size =\"45425664\"]\n  25 -> 37 [size =\"45425664\"]\n  25 -> 39 [size =\"45425664\"]\n  25 -> 40 [size =\"45425664\"]\n  25 -> 43 [size =\"45425664\"]\n  25 -> 44 [size =\"45425664\"]\n  25 -> 45 [size =\"45425664\"]\n  26 [size=\"45432320\", alpha=\"0.02\", expect_size=\"18172928\"] \n  26 -> 30 [size =\"18172928\"]\n  26 -> 32 [size =\"18172928\"]\n  26 -> 33 [size =\"18172928\"]\n  26 -> 36 [size =\"18172928\"]\n  26 -> 37 [size =\"18172928\"]\n  26 -> 37 [size =\"18172928\"]\n  26 -> 39 [size =\"18172928\"]\n  26 -> 40 [size =\"18172928\"]\n  26 -> 43 [size =\"18172928\"]\n  26 -> 45 [size =\"18172928\"]\n  27 [size=\"102999040\", alpha=\"0.03\", expect_size=\"41199616\"] \n  27 -> 28 [size =\"41199616\"]\n  27 -> 30 [size =\"41199616\"]\n  27 -> 33 [size =\"41199616\"]\n  27 -> 36 [size =\"41199616\"]\n  27 -> 37 [size =\"41199616\"]\n  27 -> 38 [size =\"41199616\"]\n  27 -> 39 [size =\"41199616\"]\n  27 -> 40 [size =\"41199616\"]\n  27 -> 43 [size =\"41199616\"]\n  27 -> 44 [size =\"41199616\"]\n  27 -> 45 [size =\"41199616\"]\n  28 [size=\"107486720\", alpha=\"0.08\", expect_size=\"42994688\"] \n  29 [size=\"82995200\", alpha=\"0.19\", expect_size=\"33198080\"] \n  30 [size=\"36323840\", alpha=\"0.17\", expect_size=\"14529536\"] \n  31 [size=\"56263680\", alpha=\"0.09\", expect_size=\"22505472\"] \n  32 [size=\"117760000\", alpha=\"0.07\", expect_size=\"47104000\"] \n  33 [size=\"16473600\", alpha=\"0.02\", expect_size=\"6589440\"] \n  34 [size=\"25210880\", alpha=\"0.05\", expect_size=\"10084352\"] \n  35 [size=\"52177920\", alpha=\"0.01\", expect_size=\"20871168\"] \n  36 [size=\"44218880\", alpha=\"0.05\", expect_size=\"17687552\"] \n  37 [size=\"53335040\", alpha=\"0.02\", expect_size=\"21334016\"] \n  38 [size=\"70320640\", alpha=\"0.16\", expect_size=\"28128256\"] \n  39 [size=\"116769280\", alpha=\"0.13\", expect_size=\"46707712\"] \n  40 [size=\"109304320\", alpha=\"0.09\", expect_size=\"43721728\"] \n  41 [size=\"90682880\", alpha=\"0.02\", expect_size=\"36273152\"] \n  42 [size=\"24862720\", alpha=\"0.05\", expect_size=\"9945088\"] \n  43 [size=\"66347520\", alpha=\"0.11\", expect_size=\"26539008\"] \n  44 [size=\"80156160\", alpha=\"0.04\", expect_size=\"32062464\"] \n  45 [size=\"111475200\", alpha=\"0.15\", expect_size=\"44590080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88279040\", alpha=\"0.05\", expect_size=\"35311616\"] \n  1 -> 9 [size =\"35311616\"]\n  1 -> 11 [size =\"35311616\"]\n  1 -> 12 [size =\"35311616\"]\n  1 -> 13 [size =\"35311616\"]\n  2 [size=\"18718720\", alpha=\"0.09\", expect_size=\"7487488\"] \n  3 [size=\"53148160\", alpha=\"0.18\", expect_size=\"21259264\"] \n  3 -> 10 [size =\"21259264\"]\n  3 -> 13 [size =\"21259264\"]\n  4 [size=\"39224320\", alpha=\"0.09\", expect_size=\"15689728\"] \n  4 -> 11 [size =\"15689728\"]\n  5 [size=\"127406080\", alpha=\"0.03\", expect_size=\"50962432\"] \n  5 -> 13 [size =\"50962432\"]\n  6 [size=\"28428800\", alpha=\"0.04\", expect_size=\"11371520\"] \n  6 -> 8 [size =\"11371520\"]\n  7 [size=\"106662400\", alpha=\"0.04\", expect_size=\"42664960\"] \n  8 [size=\"70128640\", alpha=\"0.06\", expect_size=\"28051456\"] \n  9 [size=\"48038400\", alpha=\"0.04\", expect_size=\"19215360\"] \n  9 -> 15 [size =\"19215360\"]\n  9 -> 16 [size =\"19215360\"]\n  9 -> 19 [size =\"19215360\"]\n  10 [size=\"34787840\", alpha=\"0.18\", expect_size=\"13915136\"] \n  10 -> 14 [size =\"13915136\"]\n  10 -> 19 [size =\"13915136\"]\n  10 -> 19 [size =\"13915136\"]\n  10 -> 21 [size =\"13915136\"]\n  11 [size=\"124469760\", alpha=\"0.17\", expect_size=\"49787904\"] \n  11 -> 17 [size =\"49787904\"]\n  11 -> 20 [size =\"49787904\"]\n  11 -> 21 [size =\"49787904\"]\n  12 [size=\"38359040\", alpha=\"0.17\", expect_size=\"15343616\"] \n  12 -> 14 [size =\"15343616\"]\n  12 -> 15 [size =\"15343616\"]\n  12 -> 18 [size =\"15343616\"]\n  12 -> 20 [size =\"15343616\"]\n  12 -> 21 [size =\"15343616\"]\n  13 [size=\"94274560\", alpha=\"0.08\", expect_size=\"37709824\"] \n  13 -> 20 [size =\"37709824\"]\n  14 [size=\"83235840\", alpha=\"0.07\", expect_size=\"33294336\"] \n  14 -> 23 [size =\"33294336\"]\n  14 -> 24 [size =\"33294336\"]\n  14 -> 25 [size =\"33294336\"]\n  15 [size=\"18895360\", alpha=\"0.09\", expect_size=\"7558144\"] \n  15 -> 24 [size =\"7558144\"]\n  15 -> 26 [size =\"7558144\"]\n  15 -> 29 [size =\"7558144\"]\n  16 [size=\"37926400\", alpha=\"0.07\", expect_size=\"15170560\"] \n  16 -> 23 [size =\"15170560\"]\n  16 -> 24 [size =\"15170560\"]\n  16 -> 26 [size =\"15170560\"]\n  16 -> 29 [size =\"15170560\"]\n  17 [size=\"63477760\", alpha=\"0.02\", expect_size=\"25391104\"] \n  17 -> 26 [size =\"25391104\"]\n  17 -> 27 [size =\"25391104\"]\n  18 [size=\"87808000\", alpha=\"0.01\", expect_size=\"35123200\"] \n  18 -> 24 [size =\"35123200\"]\n  18 -> 26 [size =\"35123200\"]\n  18 -> 27 [size =\"35123200\"]\n  18 -> 28 [size =\"35123200\"]\n  19 [size=\"123212800\", alpha=\"0.14\", expect_size=\"49285120\"] \n  19 -> 23 [size =\"49285120\"]\n  19 -> 25 [size =\"49285120\"]\n  19 -> 27 [size =\"49285120\"]\n  19 -> 28 [size =\"49285120\"]\n  19 -> 29 [size =\"49285120\"]\n  20 [size=\"28024320\", alpha=\"0.07\", expect_size=\"11209728\"] \n  20 -> 23 [size =\"11209728\"]\n  20 -> 27 [size =\"11209728\"]\n  20 -> 29 [size =\"11209728\"]\n  21 [size=\"16522240\", alpha=\"0.12\", expect_size=\"6608896\"] \n  21 -> 22 [size =\"6608896\"]\n  21 -> 25 [size =\"6608896\"]\n  22 [size=\"113966080\", alpha=\"0.19\", expect_size=\"45586432\"] \n  22 -> 30 [size =\"45586432\"]\n  22 -> 35 [size =\"45586432\"]\n  23 [size=\"98826240\", alpha=\"0.12\", expect_size=\"39530496\"] \n  24 [size=\"28541440\", alpha=\"0.10\", expect_size=\"11416576\"] \n  24 -> 31 [size =\"11416576\"]\n  24 -> 32 [size =\"11416576\"]\n  25 [size=\"72609280\", alpha=\"0.07\", expect_size=\"29043712\"] \n  25 -> 31 [size =\"29043712\"]\n  25 -> 32 [size =\"29043712\"]\n  25 -> 33 [size =\"29043712\"]\n  25 -> 35 [size =\"29043712\"]\n  26 [size=\"124549120\", alpha=\"0.06\", expect_size=\"49819648\"] \n  26 -> 37 [size =\"49819648\"]\n  27 [size=\"49743360\", alpha=\"0.02\", expect_size=\"19897344\"] \n  27 -> 34 [size =\"19897344\"]\n  28 [size=\"59074560\", alpha=\"0.07\", expect_size=\"23629824\"] \n  28 -> 34 [size =\"23629824\"]\n  28 -> 36 [size =\"23629824\"]\n  29 [size=\"67345920\", alpha=\"0.18\", expect_size=\"26938368\"] \n  29 -> 32 [size =\"26938368\"]\n  29 -> 34 [size =\"26938368\"]\n  30 [size=\"34301440\", alpha=\"0.12\", expect_size=\"13720576\"] \n  30 -> 40 [size =\"13720576\"]\n  31 [size=\"76029440\", alpha=\"0.06\", expect_size=\"30411776\"] \n  31 -> 44 [size =\"30411776\"]\n  32 [size=\"31767040\", alpha=\"0.04\", expect_size=\"12706816\"] \n  32 -> 38 [size =\"12706816\"]\n  32 -> 39 [size =\"12706816\"]\n  32 -> 41 [size =\"12706816\"]\n  33 [size=\"25098240\", alpha=\"0.15\", expect_size=\"10039296\"] \n  33 -> 39 [size =\"10039296\"]\n  33 -> 43 [size =\"10039296\"]\n  34 [size=\"96058880\", alpha=\"0.19\", expect_size=\"38423552\"] \n  34 -> 43 [size =\"38423552\"]\n  34 -> 44 [size =\"38423552\"]\n  35 [size=\"34844160\", alpha=\"0.03\", expect_size=\"13937664\"] \n  35 -> 39 [size =\"13937664\"]\n  36 [size=\"73715200\", alpha=\"0.12\", expect_size=\"29486080\"] \n  36 -> 40 [size =\"29486080\"]\n  37 [size=\"110033920\", alpha=\"0.09\", expect_size=\"44013568\"] \n  37 -> 39 [size =\"44013568\"]\n  37 -> 42 [size =\"44013568\"]\n  37 -> 43 [size =\"44013568\"]\n  38 [size=\"119390720\", alpha=\"0.19\", expect_size=\"47756288\"] \n  39 [size=\"40842240\", alpha=\"0.08\", expect_size=\"16336896\"] \n  39 -> 45 [size =\"16336896\"]\n  40 [size=\"27284480\", alpha=\"0.19\", expect_size=\"10913792\"] \n  41 [size=\"100403200\", alpha=\"0.11\", expect_size=\"40161280\"] \n  42 [size=\"17666560\", alpha=\"0.19\", expect_size=\"7066624\"] \n  42 -> 45 [size =\"7066624\"]\n  43 [size=\"40256000\", alpha=\"0.03\", expect_size=\"16102400\"] \n  44 [size=\"13414400\", alpha=\"0.09\", expect_size=\"5365760\"] \n  45 [size=\"125232640\", alpha=\"0.05\", expect_size=\"50093056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151538347\", alpha=\"0.10\", expect_size=\"45461504\"] \n  1 -> 8 [size =\"45461504\"]\n  1 -> 10 [size =\"45461504\"]\n  1 -> 11 [size =\"45461504\"]\n  1 -> 12 [size =\"45461504\"]\n  1 -> 15 [size =\"45461504\"]\n  1 -> 16 [size =\"45461504\"]\n  1 -> 17 [size =\"45461504\"]\n  1 -> 18 [size =\"45461504\"]\n  2 [size=\"131932160\", alpha=\"0.19\", expect_size=\"39579648\"] \n  2 -> 10 [size =\"39579648\"]\n  2 -> 14 [size =\"39579648\"]\n  2 -> 18 [size =\"39579648\"]\n  3 [size=\"28033707\", alpha=\"0.16\", expect_size=\"8410112\"] \n  3 -> 13 [size =\"8410112\"]\n  3 -> 19 [size =\"8410112\"]\n  4 [size=\"87289173\", alpha=\"0.07\", expect_size=\"26186752\"] \n  4 -> 10 [size =\"26186752\"]\n  4 -> 13 [size =\"26186752\"]\n  4 -> 16 [size =\"26186752\"]\n  4 -> 20 [size =\"26186752\"]\n  5 [size=\"30976000\", alpha=\"0.17\", expect_size=\"9292800\"] \n  5 -> 8 [size =\"9292800\"]\n  5 -> 10 [size =\"9292800\"]\n  5 -> 13 [size =\"9292800\"]\n  5 -> 17 [size =\"9292800\"]\n  6 [size=\"142404267\", alpha=\"0.15\", expect_size=\"42721280\"] \n  6 -> 12 [size =\"42721280\"]\n  6 -> 14 [size =\"42721280\"]\n  6 -> 16 [size =\"42721280\"]\n  6 -> 18 [size =\"42721280\"]\n  7 [size=\"23401813\", alpha=\"0.04\", expect_size=\"7020544\"] \n  7 -> 8 [size =\"7020544\"]\n  7 -> 9 [size =\"7020544\"]\n  7 -> 10 [size =\"7020544\"]\n  7 -> 12 [size =\"7020544\"]\n  7 -> 13 [size =\"7020544\"]\n  7 -> 15 [size =\"7020544\"]\n  7 -> 17 [size =\"7020544\"]\n  7 -> 18 [size =\"7020544\"]\n  8 [size=\"136144213\", alpha=\"0.02\", expect_size=\"40843264\"] \n  8 -> 25 [size =\"40843264\"]\n  8 -> 27 [size =\"40843264\"]\n  8 -> 28 [size =\"40843264\"]\n  8 -> 29 [size =\"40843264\"]\n  8 -> 33 [size =\"40843264\"]\n  8 -> 36 [size =\"40843264\"]\n  8 -> 40 [size =\"40843264\"]\n  9 [size=\"123163307\", alpha=\"0.01\", expect_size=\"36948992\"] \n  9 -> 25 [size =\"36948992\"]\n  9 -> 30 [size =\"36948992\"]\n  9 -> 33 [size =\"36948992\"]\n  9 -> 36 [size =\"36948992\"]\n  10 [size=\"127921493\", alpha=\"0.01\", expect_size=\"38376448\"] \n  10 -> 22 [size =\"38376448\"]\n  10 -> 24 [size =\"38376448\"]\n  10 -> 25 [size =\"38376448\"]\n  10 -> 28 [size =\"38376448\"]\n  10 -> 30 [size =\"38376448\"]\n  10 -> 33 [size =\"38376448\"]\n  10 -> 38 [size =\"38376448\"]\n  10 -> 39 [size =\"38376448\"]\n  10 -> 40 [size =\"38376448\"]\n  11 [size=\"53807787\", alpha=\"0.04\", expect_size=\"16142336\"] \n  11 -> 21 [size =\"16142336\"]\n  11 -> 24 [size =\"16142336\"]\n  11 -> 25 [size =\"16142336\"]\n  11 -> 38 [size =\"16142336\"]\n  12 [size=\"129819307\", alpha=\"0.04\", expect_size=\"38945792\"] \n  12 -> 24 [size =\"38945792\"]\n  12 -> 25 [size =\"38945792\"]\n  12 -> 25 [size =\"38945792\"]\n  12 -> 26 [size =\"38945792\"]\n  12 -> 27 [size =\"38945792\"]\n  12 -> 33 [size =\"38945792\"]\n  12 -> 40 [size =\"38945792\"]\n  13 [size=\"120463360\", alpha=\"0.12\", expect_size=\"36139008\"] \n  13 -> 26 [size =\"36139008\"]\n  13 -> 27 [size =\"36139008\"]\n  13 -> 28 [size =\"36139008\"]\n  13 -> 29 [size =\"36139008\"]\n  13 -> 33 [size =\"36139008\"]\n  13 -> 34 [size =\"36139008\"]\n  13 -> 37 [size =\"36139008\"]\n  14 [size=\"85524480\", alpha=\"0.12\", expect_size=\"25657344\"] \n  14 -> 27 [size =\"25657344\"]\n  14 -> 28 [size =\"25657344\"]\n  14 -> 29 [size =\"25657344\"]\n  15 [size=\"136966827\", alpha=\"0.12\", expect_size=\"41090048\"] \n  15 -> 26 [size =\"41090048\"]\n  15 -> 27 [size =\"41090048\"]\n  15 -> 32 [size =\"41090048\"]\n  15 -> 33 [size =\"41090048\"]\n  15 -> 38 [size =\"41090048\"]\n  15 -> 40 [size =\"41090048\"]\n  16 [size=\"112209920\", alpha=\"0.06\", expect_size=\"33662976\"] \n  16 -> 21 [size =\"33662976\"]\n  16 -> 23 [size =\"33662976\"]\n  16 -> 29 [size =\"33662976\"]\n  16 -> 31 [size =\"33662976\"]\n  16 -> 33 [size =\"33662976\"]\n  16 -> 38 [size =\"33662976\"]\n  16 -> 40 [size =\"33662976\"]\n  17 [size=\"76274347\", alpha=\"0.10\", expect_size=\"22882304\"] \n  17 -> 24 [size =\"22882304\"]\n  17 -> 27 [size =\"22882304\"]\n  17 -> 33 [size =\"22882304\"]\n  17 -> 40 [size =\"22882304\"]\n  18 [size=\"104219307\", alpha=\"0.12\", expect_size=\"31265792\"] \n  18 -> 32 [size =\"31265792\"]\n  18 -> 34 [size =\"31265792\"]\n  18 -> 35 [size =\"31265792\"]\n  18 -> 38 [size =\"31265792\"]\n  18 -> 40 [size =\"31265792\"]\n  19 [size=\"119828480\", alpha=\"0.15\", expect_size=\"35948544\"] \n  19 -> 22 [size =\"35948544\"]\n  19 -> 24 [size =\"35948544\"]\n  19 -> 26 [size =\"35948544\"]\n  19 -> 28 [size =\"35948544\"]\n  19 -> 32 [size =\"35948544\"]\n  19 -> 34 [size =\"35948544\"]\n  19 -> 38 [size =\"35948544\"]\n  19 -> 40 [size =\"35948544\"]\n  20 [size=\"125201067\", alpha=\"0.07\", expect_size=\"37560320\"] \n  20 -> 23 [size =\"37560320\"]\n  20 -> 24 [size =\"37560320\"]\n  20 -> 27 [size =\"37560320\"]\n  20 -> 29 [size =\"37560320\"]\n  20 -> 32 [size =\"37560320\"]\n  20 -> 38 [size =\"37560320\"]\n  20 -> 40 [size =\"37560320\"]\n  20 -> 40 [size =\"37560320\"]\n  21 [size=\"130283520\", alpha=\"0.16\", expect_size=\"39085056\"] \n  21 -> 42 [size =\"39085056\"]\n  21 -> 44 [size =\"39085056\"]\n  21 -> 45 [size =\"39085056\"]\n  22 [size=\"159109120\", alpha=\"0.19\", expect_size=\"47732736\"] \n  22 -> 42 [size =\"47732736\"]\n  22 -> 44 [size =\"47732736\"]\n  22 -> 45 [size =\"47732736\"]\n  23 [size=\"36044800\", alpha=\"0.04\", expect_size=\"10813440\"] \n  23 -> 42 [size =\"10813440\"]\n  23 -> 45 [size =\"10813440\"]\n  24 [size=\"128327680\", alpha=\"0.18\", expect_size=\"38498304\"] \n  25 [size=\"65747627\", alpha=\"0.14\", expect_size=\"19724288\"] \n  25 -> 41 [size =\"19724288\"]\n  26 [size=\"160064853\", alpha=\"0.05\", expect_size=\"48019456\"] \n  26 -> 41 [size =\"48019456\"]\n  26 -> 44 [size =\"48019456\"]\n  27 [size=\"51647147\", alpha=\"0.18\", expect_size=\"15494144\"] \n  27 -> 42 [size =\"15494144\"]\n  27 -> 44 [size =\"15494144\"]\n  27 -> 45 [size =\"15494144\"]\n  28 [size=\"126832640\", alpha=\"0.05\", expect_size=\"38049792\"] \n  28 -> 41 [size =\"38049792\"]\n  28 -> 42 [size =\"38049792\"]\n  28 -> 45 [size =\"38049792\"]\n  29 [size=\"65549653\", alpha=\"0.06\", expect_size=\"19664896\"] \n  29 -> 41 [size =\"19664896\"]\n  29 -> 42 [size =\"19664896\"]\n  29 -> 44 [size =\"19664896\"]\n  29 -> 45 [size =\"19664896\"]\n  30 [size=\"22876160\", alpha=\"0.01\", expect_size=\"6862848\"] \n  30 -> 45 [size =\"6862848\"]\n  31 [size=\"75106987\", alpha=\"0.00\", expect_size=\"22532096\"] \n  32 [size=\"41738240\", alpha=\"0.14\", expect_size=\"12521472\"] \n  32 -> 42 [size =\"12521472\"]\n  32 -> 45 [size =\"12521472\"]\n  33 [size=\"37222400\", alpha=\"0.01\", expect_size=\"11166720\"] \n  33 -> 42 [size =\"11166720\"]\n  33 -> 44 [size =\"11166720\"]\n  33 -> 45 [size =\"11166720\"]\n  34 [size=\"72120320\", alpha=\"0.16\", expect_size=\"21636096\"] \n  34 -> 42 [size =\"21636096\"]\n  34 -> 43 [size =\"21636096\"]\n  35 [size=\"58961920\", alpha=\"0.07\", expect_size=\"17688576\"] \n  35 -> 42 [size =\"17688576\"]\n  35 -> 43 [size =\"17688576\"]\n  36 [size=\"168533333\", alpha=\"0.09\", expect_size=\"50560000\"] \n  36 -> 41 [size =\"50560000\"]\n  36 -> 42 [size =\"50560000\"]\n  36 -> 43 [size =\"50560000\"]\n  36 -> 44 [size =\"50560000\"]\n  36 -> 45 [size =\"50560000\"]\n  37 [size=\"53906773\", alpha=\"0.20\", expect_size=\"16172032\"] \n  37 -> 41 [size =\"16172032\"]\n  37 -> 42 [size =\"16172032\"]\n  37 -> 43 [size =\"16172032\"]\n  37 -> 44 [size =\"16172032\"]\n  37 -> 45 [size =\"16172032\"]\n  38 [size=\"35580587\", alpha=\"0.01\", expect_size=\"10674176\"] \n  38 -> 44 [size =\"10674176\"]\n  38 -> 45 [size =\"10674176\"]\n  39 [size=\"74936320\", alpha=\"0.15\", expect_size=\"22480896\"] \n  39 -> 41 [size =\"22480896\"]\n  39 -> 45 [size =\"22480896\"]\n  40 [size=\"120378027\", alpha=\"0.03\", expect_size=\"36113408\"] \n  40 -> 41 [size =\"36113408\"]\n  40 -> 42 [size =\"36113408\"]\n  40 -> 45 [size =\"36113408\"]\n  41 [size=\"125061120\", alpha=\"0.05\", expect_size=\"37518336\"] \n  42 [size=\"125323947\", alpha=\"0.06\", expect_size=\"37597184\"] \n  43 [size=\"76223147\", alpha=\"0.08\", expect_size=\"22866944\"] \n  44 [size=\"80745813\", alpha=\"0.05\", expect_size=\"24223744\"] \n  45 [size=\"49653760\", alpha=\"0.08\", expect_size=\"14896128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106393600\", alpha=\"0.17\", expect_size=\"31918080\"] \n  1 -> 32 [size =\"31918080\"]\n  1 -> 35 [size =\"31918080\"]\n  1 -> 38 [size =\"31918080\"]\n  1 -> 45 [size =\"31918080\"]\n  2 [size=\"94771200\", alpha=\"0.13\", expect_size=\"28431360\"] \n  2 -> 32 [size =\"28431360\"]\n  2 -> 38 [size =\"28431360\"]\n  2 -> 38 [size =\"28431360\"]\n  2 -> 45 [size =\"28431360\"]\n  3 [size=\"35662507\", alpha=\"0.10\", expect_size=\"10698752\"] \n  3 -> 34 [size =\"10698752\"]\n  3 -> 41 [size =\"10698752\"]\n  3 -> 44 [size =\"10698752\"]\n  3 -> 45 [size =\"10698752\"]\n  4 [size=\"154941440\", alpha=\"0.16\", expect_size=\"46482432\"] \n  4 -> 39 [size =\"46482432\"]\n  4 -> 41 [size =\"46482432\"]\n  4 -> 45 [size =\"46482432\"]\n  4 -> 45 [size =\"46482432\"]\n  5 [size=\"126167040\", alpha=\"0.01\", expect_size=\"37850112\"] \n  5 -> 33 [size =\"37850112\"]\n  5 -> 39 [size =\"37850112\"]\n  6 [size=\"132167680\", alpha=\"0.07\", expect_size=\"39650304\"] \n  6 -> 32 [size =\"39650304\"]\n  6 -> 34 [size =\"39650304\"]\n  6 -> 35 [size =\"39650304\"]\n  6 -> 41 [size =\"39650304\"]\n  6 -> 45 [size =\"39650304\"]\n  7 [size=\"168232960\", alpha=\"0.16\", expect_size=\"50469888\"] \n  7 -> 34 [size =\"50469888\"]\n  7 -> 34 [size =\"50469888\"]\n  7 -> 38 [size =\"50469888\"]\n  7 -> 44 [size =\"50469888\"]\n  7 -> 45 [size =\"50469888\"]\n  8 [size=\"61037227\", alpha=\"0.07\", expect_size=\"18311168\"] \n  8 -> 34 [size =\"18311168\"]\n  8 -> 40 [size =\"18311168\"]\n  8 -> 44 [size =\"18311168\"]\n  8 -> 45 [size =\"18311168\"]\n  9 [size=\"137861120\", alpha=\"0.09\", expect_size=\"41358336\"] \n  9 -> 34 [size =\"41358336\"]\n  9 -> 38 [size =\"41358336\"]\n  10 [size=\"98392747\", alpha=\"0.19\", expect_size=\"29517824\"] \n  10 -> 32 [size =\"29517824\"]\n  10 -> 33 [size =\"29517824\"]\n  10 -> 37 [size =\"29517824\"]\n  10 -> 38 [size =\"29517824\"]\n  11 [size=\"50158933\", alpha=\"0.10\", expect_size=\"15047680\"] \n  11 -> 32 [size =\"15047680\"]\n  11 -> 35 [size =\"15047680\"]\n  11 -> 38 [size =\"15047680\"]\n  11 -> 39 [size =\"15047680\"]\n  12 [size=\"30091947\", alpha=\"0.17\", expect_size=\"9027584\"] \n  12 -> 32 [size =\"9027584\"]\n  12 -> 33 [size =\"9027584\"]\n  12 -> 35 [size =\"9027584\"]\n  12 -> 40 [size =\"9027584\"]\n  12 -> 41 [size =\"9027584\"]\n  13 [size=\"131590827\", alpha=\"0.10\", expect_size=\"39477248\"] \n  13 -> 34 [size =\"39477248\"]\n  13 -> 35 [size =\"39477248\"]\n  13 -> 41 [size =\"39477248\"]\n  14 [size=\"51729067\", alpha=\"0.12\", expect_size=\"15518720\"] \n  14 -> 33 [size =\"15518720\"]\n  14 -> 35 [size =\"15518720\"]\n  14 -> 39 [size =\"15518720\"]\n  15 [size=\"174718293\", alpha=\"0.02\", expect_size=\"52415488\"] \n  15 -> 34 [size =\"52415488\"]\n  15 -> 35 [size =\"52415488\"]\n  15 -> 38 [size =\"52415488\"]\n  15 -> 40 [size =\"52415488\"]\n  16 [size=\"27531947\", alpha=\"0.10\", expect_size=\"8259584\"] \n  16 -> 34 [size =\"8259584\"]\n  16 -> 35 [size =\"8259584\"]\n  16 -> 38 [size =\"8259584\"]\n  16 -> 40 [size =\"8259584\"]\n  17 [size=\"82391040\", alpha=\"0.17\", expect_size=\"24717312\"] \n  17 -> 34 [size =\"24717312\"]\n  17 -> 38 [size =\"24717312\"]\n  17 -> 38 [size =\"24717312\"]\n  17 -> 40 [size =\"24717312\"]\n  17 -> 45 [size =\"24717312\"]\n  18 [size=\"51554987\", alpha=\"0.05\", expect_size=\"15466496\"] \n  18 -> 34 [size =\"15466496\"]\n  18 -> 36 [size =\"15466496\"]\n  18 -> 38 [size =\"15466496\"]\n  18 -> 39 [size =\"15466496\"]\n  18 -> 40 [size =\"15466496\"]\n  18 -> 41 [size =\"15466496\"]\n  18 -> 43 [size =\"15466496\"]\n  19 [size=\"104744960\", alpha=\"0.05\", expect_size=\"31423488\"] \n  19 -> 34 [size =\"31423488\"]\n  19 -> 35 [size =\"31423488\"]\n  19 -> 38 [size =\"31423488\"]\n  19 -> 39 [size =\"31423488\"]\n  19 -> 40 [size =\"31423488\"]\n  19 -> 41 [size =\"31423488\"]\n  19 -> 42 [size =\"31423488\"]\n  20 [size=\"20230827\", alpha=\"0.05\", expect_size=\"6069248\"] \n  20 -> 31 [size =\"6069248\"]\n  20 -> 33 [size =\"6069248\"]\n  20 -> 34 [size =\"6069248\"]\n  20 -> 35 [size =\"6069248\"]\n  20 -> 38 [size =\"6069248\"]\n  20 -> 40 [size =\"6069248\"]\n  21 [size=\"173277867\", alpha=\"0.16\", expect_size=\"51983360\"] \n  21 -> 34 [size =\"51983360\"]\n  21 -> 37 [size =\"51983360\"]\n  21 -> 38 [size =\"51983360\"]\n  21 -> 39 [size =\"51983360\"]\n  21 -> 40 [size =\"51983360\"]\n  21 -> 41 [size =\"51983360\"]\n  22 [size=\"94016853\", alpha=\"0.18\", expect_size=\"28205056\"] \n  22 -> 34 [size =\"28205056\"]\n  22 -> 37 [size =\"28205056\"]\n  22 -> 38 [size =\"28205056\"]\n  22 -> 40 [size =\"28205056\"]\n  22 -> 40 [size =\"28205056\"]\n  22 -> 41 [size =\"28205056\"]\n  22 -> 44 [size =\"28205056\"]\n  23 [size=\"68218880\", alpha=\"0.01\", expect_size=\"20465664\"] \n  23 -> 34 [size =\"20465664\"]\n  23 -> 35 [size =\"20465664\"]\n  23 -> 38 [size =\"20465664\"]\n  23 -> 39 [size =\"20465664\"]\n  23 -> 40 [size =\"20465664\"]\n  23 -> 41 [size =\"20465664\"]\n  23 -> 45 [size =\"20465664\"]\n  24 [size=\"149490347\", alpha=\"0.02\", expect_size=\"44847104\"] \n  24 -> 32 [size =\"44847104\"]\n  24 -> 34 [size =\"44847104\"]\n  24 -> 38 [size =\"44847104\"]\n  24 -> 40 [size =\"44847104\"]\n  24 -> 41 [size =\"44847104\"]\n  24 -> 45 [size =\"44847104\"]\n  25 [size=\"85712213\", alpha=\"0.17\", expect_size=\"25713664\"] \n  25 -> 34 [size =\"25713664\"]\n  25 -> 34 [size =\"25713664\"]\n  25 -> 40 [size =\"25713664\"]\n  25 -> 41 [size =\"25713664\"]\n  26 [size=\"98300587\", alpha=\"0.07\", expect_size=\"29490176\"] \n  26 -> 35 [size =\"29490176\"]\n  26 -> 37 [size =\"29490176\"]\n  26 -> 40 [size =\"29490176\"]\n  27 [size=\"18370560\", alpha=\"0.16\", expect_size=\"5511168\"] \n  27 -> 33 [size =\"5511168\"]\n  27 -> 37 [size =\"5511168\"]\n  27 -> 38 [size =\"5511168\"]\n  27 -> 39 [size =\"5511168\"]\n  28 [size=\"155521707\", alpha=\"0.10\", expect_size=\"46656512\"] \n  28 -> 33 [size =\"46656512\"]\n  28 -> 39 [size =\"46656512\"]\n  28 -> 45 [size =\"46656512\"]\n  29 [size=\"40601600\", alpha=\"0.19\", expect_size=\"12180480\"] \n  29 -> 38 [size =\"12180480\"]\n  29 -> 39 [size =\"12180480\"]\n  29 -> 40 [size =\"12180480\"]\n  30 [size=\"76352853\", alpha=\"0.19\", expect_size=\"22905856\"] \n  30 -> 32 [size =\"22905856\"]\n  30 -> 34 [size =\"22905856\"]\n  30 -> 38 [size =\"22905856\"]\n  30 -> 45 [size =\"22905856\"]\n  31 [size=\"113670827\", alpha=\"0.03\", expect_size=\"34101248\"] \n  32 [size=\"84189867\", alpha=\"0.09\", expect_size=\"25256960\"] \n  33 [size=\"65204907\", alpha=\"0.09\", expect_size=\"19561472\"] \n  34 [size=\"74905600\", alpha=\"0.13\", expect_size=\"22471680\"] \n  35 [size=\"93474133\", alpha=\"0.18\", expect_size=\"28042240\"] \n  36 [size=\"72314880\", alpha=\"0.04\", expect_size=\"21694464\"] \n  37 [size=\"126122667\", alpha=\"0.18\", expect_size=\"37836800\"] \n  38 [size=\"91081387\", alpha=\"0.16\", expect_size=\"27324416\"] \n  39 [size=\"168045227\", alpha=\"0.05\", expect_size=\"50413568\"] \n  40 [size=\"162822827\", alpha=\"0.15\", expect_size=\"48846848\"] \n  41 [size=\"156337493\", alpha=\"0.05\", expect_size=\"46901248\"] \n  42 [size=\"23982080\", alpha=\"0.04\", expect_size=\"7194624\"] \n  43 [size=\"92948480\", alpha=\"0.10\", expect_size=\"27884544\"] \n  44 [size=\"162778453\", alpha=\"0.12\", expect_size=\"48833536\"] \n  45 [size=\"110438400\", alpha=\"0.04\", expect_size=\"33131520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113012053\", alpha=\"0.04\", expect_size=\"33903616\"] \n  1 -> 42 [size =\"33903616\"]\n  2 [size=\"32812373\", alpha=\"0.06\", expect_size=\"9843712\"] \n  2 -> 38 [size =\"9843712\"]\n  2 -> 39 [size =\"9843712\"]\n  2 -> 40 [size =\"9843712\"]\n  2 -> 42 [size =\"9843712\"]\n  3 [size=\"41287680\", alpha=\"0.12\", expect_size=\"12386304\"] \n  3 -> 40 [size =\"12386304\"]\n  3 -> 41 [size =\"12386304\"]\n  4 [size=\"48991573\", alpha=\"0.11\", expect_size=\"14697472\"] \n  4 -> 38 [size =\"14697472\"]\n  4 -> 40 [size =\"14697472\"]\n  5 [size=\"97317547\", alpha=\"0.09\", expect_size=\"29195264\"] \n  5 -> 38 [size =\"29195264\"]\n  5 -> 40 [size =\"29195264\"]\n  5 -> 41 [size =\"29195264\"]\n  6 [size=\"23265280\", alpha=\"0.02\", expect_size=\"6979584\"] \n  6 -> 38 [size =\"6979584\"]\n  6 -> 40 [size =\"6979584\"]\n  6 -> 42 [size =\"6979584\"]\n  7 [size=\"154084693\", alpha=\"0.19\", expect_size=\"46225408\"] \n  7 -> 38 [size =\"46225408\"]\n  7 -> 45 [size =\"46225408\"]\n  8 [size=\"84258133\", alpha=\"0.04\", expect_size=\"25277440\"] \n  8 -> 38 [size =\"25277440\"]\n  8 -> 40 [size =\"25277440\"]\n  8 -> 43 [size =\"25277440\"]\n  9 [size=\"28385280\", alpha=\"0.07\", expect_size=\"8515584\"] \n  9 -> 38 [size =\"8515584\"]\n  9 -> 42 [size =\"8515584\"]\n  10 [size=\"137984000\", alpha=\"0.02\", expect_size=\"41395200\"] \n  10 -> 38 [size =\"41395200\"]\n  10 -> 41 [size =\"41395200\"]\n  11 [size=\"108752213\", alpha=\"0.06\", expect_size=\"32625664\"] \n  11 -> 41 [size =\"32625664\"]\n  12 [size=\"143909547\", alpha=\"0.10\", expect_size=\"43172864\"] \n  12 -> 38 [size =\"43172864\"]\n  12 -> 40 [size =\"43172864\"]\n  13 [size=\"37116587\", alpha=\"0.12\", expect_size=\"11134976\"] \n  13 -> 42 [size =\"11134976\"]\n  14 [size=\"129832960\", alpha=\"0.03\", expect_size=\"38949888\"] \n  14 -> 38 [size =\"38949888\"]\n  14 -> 40 [size =\"38949888\"]\n  14 -> 41 [size =\"38949888\"]\n  14 -> 43 [size =\"38949888\"]\n  14 -> 45 [size =\"38949888\"]\n  15 [size=\"59197440\", alpha=\"0.18\", expect_size=\"17759232\"] \n  15 -> 38 [size =\"17759232\"]\n  15 -> 40 [size =\"17759232\"]\n  16 [size=\"130392747\", alpha=\"0.13\", expect_size=\"39117824\"] \n  16 -> 41 [size =\"39117824\"]\n  17 [size=\"149514240\", alpha=\"0.11\", expect_size=\"44854272\"] \n  17 -> 40 [size =\"44854272\"]\n  17 -> 45 [size =\"44854272\"]\n  18 [size=\"141165227\", alpha=\"0.04\", expect_size=\"42349568\"] \n  18 -> 40 [size =\"42349568\"]\n  19 [size=\"17960960\", alpha=\"0.04\", expect_size=\"5388288\"] \n  19 -> 38 [size =\"5388288\"]\n  19 -> 40 [size =\"5388288\"]\n  19 -> 42 [size =\"5388288\"]\n  20 [size=\"74676907\", alpha=\"0.19\", expect_size=\"22403072\"] \n  20 -> 38 [size =\"22403072\"]\n  20 -> 40 [size =\"22403072\"]\n  20 -> 41 [size =\"22403072\"]\n  21 [size=\"91596800\", alpha=\"0.07\", expect_size=\"27479040\"] \n  21 -> 40 [size =\"27479040\"]\n  21 -> 40 [size =\"27479040\"]\n  21 -> 41 [size =\"27479040\"]\n  21 -> 43 [size =\"27479040\"]\n  22 [size=\"135120213\", alpha=\"0.17\", expect_size=\"40536064\"] \n  22 -> 38 [size =\"40536064\"]\n  22 -> 40 [size =\"40536064\"]\n  22 -> 43 [size =\"40536064\"]\n  23 [size=\"53701973\", alpha=\"0.09\", expect_size=\"16110592\"] \n  23 -> 38 [size =\"16110592\"]\n  23 -> 39 [size =\"16110592\"]\n  23 -> 40 [size =\"16110592\"]\n  23 -> 42 [size =\"16110592\"]\n  23 -> 43 [size =\"16110592\"]\n  24 [size=\"146957653\", alpha=\"0.06\", expect_size=\"44087296\"] \n  24 -> 38 [size =\"44087296\"]\n  24 -> 40 [size =\"44087296\"]\n  24 -> 40 [size =\"44087296\"]\n  24 -> 43 [size =\"44087296\"]\n  24 -> 43 [size =\"44087296\"]\n  24 -> 45 [size =\"44087296\"]\n  25 [size=\"174421333\", alpha=\"0.13\", expect_size=\"52326400\"] \n  25 -> 38 [size =\"52326400\"]\n  25 -> 40 [size =\"52326400\"]\n  25 -> 42 [size =\"52326400\"]\n  26 [size=\"162304000\", alpha=\"0.00\", expect_size=\"48691200\"] \n  26 -> 38 [size =\"48691200\"]\n  26 -> 40 [size =\"48691200\"]\n  26 -> 42 [size =\"48691200\"]\n  26 -> 45 [size =\"48691200\"]\n  27 [size=\"108066133\", alpha=\"0.05\", expect_size=\"32419840\"] \n  27 -> 38 [size =\"32419840\"]\n  27 -> 40 [size =\"32419840\"]\n  27 -> 42 [size =\"32419840\"]\n  27 -> 43 [size =\"32419840\"]\n  28 [size=\"35689813\", alpha=\"0.19\", expect_size=\"10706944\"] \n  28 -> 38 [size =\"10706944\"]\n  28 -> 40 [size =\"10706944\"]\n  28 -> 42 [size =\"10706944\"]\n  29 [size=\"64525653\", alpha=\"0.14\", expect_size=\"19357696\"] \n  29 -> 38 [size =\"19357696\"]\n  29 -> 39 [size =\"19357696\"]\n  29 -> 40 [size =\"19357696\"]\n  29 -> 42 [size =\"19357696\"]\n  29 -> 45 [size =\"19357696\"]\n  30 [size=\"93272747\", alpha=\"0.04\", expect_size=\"27981824\"] \n  30 -> 38 [size =\"27981824\"]\n  30 -> 40 [size =\"27981824\"]\n  30 -> 40 [size =\"27981824\"]\n  30 -> 41 [size =\"27981824\"]\n  31 [size=\"87193600\", alpha=\"0.06\", expect_size=\"26158080\"] \n  32 [size=\"141824000\", alpha=\"0.04\", expect_size=\"42547200\"] \n  32 -> 38 [size =\"42547200\"]\n  32 -> 40 [size =\"42547200\"]\n  33 [size=\"115220480\", alpha=\"0.04\", expect_size=\"34566144\"] \n  33 -> 40 [size =\"34566144\"]\n  33 -> 44 [size =\"34566144\"]\n  33 -> 45 [size =\"34566144\"]\n  34 [size=\"31197867\", alpha=\"0.19\", expect_size=\"9359360\"] \n  34 -> 40 [size =\"9359360\"]\n  34 -> 43 [size =\"9359360\"]\n  34 -> 44 [size =\"9359360\"]\n  34 -> 45 [size =\"9359360\"]\n  35 [size=\"78554453\", alpha=\"0.18\", expect_size=\"23566336\"] \n  35 -> 40 [size =\"23566336\"]\n  36 [size=\"22565547\", alpha=\"0.13\", expect_size=\"6769664\"] \n  36 -> 38 [size =\"6769664\"]\n  36 -> 40 [size =\"6769664\"]\n  36 -> 42 [size =\"6769664\"]\n  37 [size=\"26303147\", alpha=\"0.04\", expect_size=\"7890944\"] \n  37 -> 38 [size =\"7890944\"]\n  37 -> 39 [size =\"7890944\"]\n  37 -> 41 [size =\"7890944\"]\n  37 -> 43 [size =\"7890944\"]\n  38 [size=\"69096107\", alpha=\"0.11\", expect_size=\"20728832\"] \n  39 [size=\"60439893\", alpha=\"0.18\", expect_size=\"18131968\"] \n  40 [size=\"168529920\", alpha=\"0.12\", expect_size=\"50558976\"] \n  41 [size=\"42018133\", alpha=\"0.15\", expect_size=\"12605440\"] \n  42 [size=\"86756693\", alpha=\"0.14\", expect_size=\"26027008\"] \n  43 [size=\"114602667\", alpha=\"0.17\", expect_size=\"34380800\"] \n  44 [size=\"145196373\", alpha=\"0.17\", expect_size=\"43558912\"] \n  45 [size=\"133611520\", alpha=\"0.16\", expect_size=\"40083456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167983787\", alpha=\"0.00\", expect_size=\"50395136\"] \n  1 -> 3 [size =\"50395136\"]\n  2 [size=\"153886720\", alpha=\"0.02\", expect_size=\"46166016\"] \n  2 -> 4 [size =\"46166016\"]\n  2 -> 5 [size =\"46166016\"]\n  3 [size=\"47950507\", alpha=\"0.18\", expect_size=\"14385152\"] \n  4 [size=\"28262400\", alpha=\"0.11\", expect_size=\"8478720\"] \n  4 -> 6 [size =\"8478720\"]\n  5 [size=\"102045013\", alpha=\"0.15\", expect_size=\"30613504\"] \n  5 -> 7 [size =\"30613504\"]\n  6 [size=\"73055573\", alpha=\"0.16\", expect_size=\"21916672\"] \n  6 -> 9 [size =\"21916672\"]\n  7 [size=\"62863360\", alpha=\"0.11\", expect_size=\"18859008\"] \n  7 -> 8 [size =\"18859008\"]\n  7 -> 10 [size =\"18859008\"]\n  8 [size=\"108277760\", alpha=\"0.12\", expect_size=\"32483328\"] \n  8 -> 11 [size =\"32483328\"]\n  8 -> 13 [size =\"32483328\"]\n  9 [size=\"91716267\", alpha=\"0.12\", expect_size=\"27514880\"] \n  9 -> 12 [size =\"27514880\"]\n  9 -> 13 [size =\"27514880\"]\n  10 [size=\"119975253\", alpha=\"0.13\", expect_size=\"35992576\"] \n  10 -> 11 [size =\"35992576\"]\n  11 [size=\"140840960\", alpha=\"0.13\", expect_size=\"42252288\"] \n  12 [size=\"142305280\", alpha=\"0.17\", expect_size=\"42691584\"] \n  12 -> 14 [size =\"42691584\"]\n  13 [size=\"161382400\", alpha=\"0.07\", expect_size=\"48414720\"] \n  14 [size=\"147476480\", alpha=\"0.15\", expect_size=\"44242944\"] \n  14 -> 15 [size =\"44242944\"]\n  14 -> 16 [size =\"44242944\"]\n  14 -> 17 [size =\"44242944\"]\n  14 -> 18 [size =\"44242944\"]\n  15 [size=\"74287787\", alpha=\"0.16\", expect_size=\"22286336\"] \n  15 -> 21 [size =\"22286336\"]\n  15 -> 22 [size =\"22286336\"]\n  16 [size=\"35037867\", alpha=\"0.09\", expect_size=\"10511360\"] \n  16 -> 19 [size =\"10511360\"]\n  17 [size=\"159771307\", alpha=\"0.20\", expect_size=\"47931392\"] \n  17 -> 20 [size =\"47931392\"]\n  18 [size=\"90439680\", alpha=\"0.13\", expect_size=\"27131904\"] \n  18 -> 19 [size =\"27131904\"]\n  18 -> 20 [size =\"27131904\"]\n  18 -> 21 [size =\"27131904\"]\n  19 [size=\"25579520\", alpha=\"0.10\", expect_size=\"7673856\"] \n  20 [size=\"117312853\", alpha=\"0.03\", expect_size=\"35193856\"] \n  21 [size=\"62904320\", alpha=\"0.16\", expect_size=\"18871296\"] \n  21 -> 23 [size =\"18871296\"]\n  21 -> 24 [size =\"18871296\"]\n  21 -> 25 [size =\"18871296\"]\n  22 [size=\"168867840\", alpha=\"0.05\", expect_size=\"50660352\"] \n  22 -> 24 [size =\"50660352\"]\n  23 [size=\"144967680\", alpha=\"0.19\", expect_size=\"43490304\"] \n  23 -> 26 [size =\"43490304\"]\n  24 [size=\"42089813\", alpha=\"0.14\", expect_size=\"12626944\"] \n  24 -> 27 [size =\"12626944\"]\n  25 [size=\"160160427\", alpha=\"0.19\", expect_size=\"48048128\"] \n  25 -> 26 [size =\"48048128\"]\n  26 [size=\"128423253\", alpha=\"0.12\", expect_size=\"38526976\"] \n  27 [size=\"40444587\", alpha=\"0.10\", expect_size=\"12133376\"] \n  27 -> 28 [size =\"12133376\"]\n  28 [size=\"40198827\", alpha=\"0.01\", expect_size=\"12059648\"] \n  28 -> 29 [size =\"12059648\"]\n  29 [size=\"145609387\", alpha=\"0.20\", expect_size=\"43682816\"] \n  29 -> 30 [size =\"43682816\"]\n  29 -> 31 [size =\"43682816\"]\n  29 -> 32 [size =\"43682816\"]\n  29 -> 33 [size =\"43682816\"]\n  30 [size=\"67522560\", alpha=\"0.13\", expect_size=\"20256768\"] \n  30 -> 34 [size =\"20256768\"]\n  31 [size=\"92986027\", alpha=\"0.01\", expect_size=\"27895808\"] \n  32 [size=\"57937920\", alpha=\"0.05\", expect_size=\"17381376\"] \n  33 [size=\"98788693\", alpha=\"0.07\", expect_size=\"29636608\"] \n  34 [size=\"88729600\", alpha=\"0.06\", expect_size=\"26618880\"] \n  34 -> 35 [size =\"26618880\"]\n  34 -> 36 [size =\"26618880\"]\n  34 -> 37 [size =\"26618880\"]\n  34 -> 38 [size =\"26618880\"]\n  35 [size=\"38543360\", alpha=\"0.12\", expect_size=\"11563008\"] \n  36 [size=\"32802133\", alpha=\"0.01\", expect_size=\"9840640\"] \n  36 -> 39 [size =\"9840640\"]\n  37 [size=\"127088640\", alpha=\"0.07\", expect_size=\"38126592\"] \n  37 -> 40 [size =\"38126592\"]\n  38 [size=\"52217173\", alpha=\"0.03\", expect_size=\"15665152\"] \n  38 -> 39 [size =\"15665152\"]\n  38 -> 40 [size =\"15665152\"]\n  39 [size=\"56275627\", alpha=\"0.19\", expect_size=\"16882688\"] \n  39 -> 41 [size =\"16882688\"]\n  40 [size=\"56224427\", alpha=\"0.09\", expect_size=\"16867328\"] \n  40 -> 42 [size =\"16867328\"]\n  40 -> 43 [size =\"16867328\"]\n  41 [size=\"154555733\", alpha=\"0.04\", expect_size=\"46366720\"] \n  41 -> 44 [size =\"46366720\"]\n  42 [size=\"160068267\", alpha=\"0.19\", expect_size=\"48020480\"] \n  43 [size=\"40304640\", alpha=\"0.09\", expect_size=\"12091392\"] \n  44 [size=\"96457387\", alpha=\"0.03\", expect_size=\"28937216\"] \n  44 -> 45 [size =\"28937216\"]\n  45 [size=\"143953920\", alpha=\"0.15\", expect_size=\"43186176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126041600\", alpha=\"0.13\", expect_size=\"50416640\"] \n  1 -> 17 [size =\"50416640\"]\n  1 -> 21 [size =\"50416640\"]\n  1 -> 22 [size =\"50416640\"]\n  1 -> 23 [size =\"50416640\"]\n  1 -> 28 [size =\"50416640\"]\n  2 [size=\"130913280\", alpha=\"0.19\", expect_size=\"52365312\"] \n  2 -> 20 [size =\"52365312\"]\n  2 -> 22 [size =\"52365312\"]\n  3 [size=\"86796800\", alpha=\"0.14\", expect_size=\"34718720\"] \n  3 -> 18 [size =\"34718720\"]\n  3 -> 20 [size =\"34718720\"]\n  3 -> 21 [size =\"34718720\"]\n  3 -> 24 [size =\"34718720\"]\n  3 -> 25 [size =\"34718720\"]\n  4 [size=\"43207680\", alpha=\"0.02\", expect_size=\"17283072\"] \n  4 -> 21 [size =\"17283072\"]\n  4 -> 23 [size =\"17283072\"]\n  4 -> 25 [size =\"17283072\"]\n  5 [size=\"33873920\", alpha=\"0.00\", expect_size=\"13549568\"] \n  5 -> 23 [size =\"13549568\"]\n  5 -> 26 [size =\"13549568\"]\n  6 [size=\"44454400\", alpha=\"0.12\", expect_size=\"17781760\"] \n  6 -> 17 [size =\"17781760\"]\n  6 -> 19 [size =\"17781760\"]\n  6 -> 20 [size =\"17781760\"]\n  6 -> 21 [size =\"17781760\"]\n  6 -> 22 [size =\"17781760\"]\n  6 -> 23 [size =\"17781760\"]\n  6 -> 25 [size =\"17781760\"]\n  6 -> 26 [size =\"17781760\"]\n  6 -> 27 [size =\"17781760\"]\n  6 -> 28 [size =\"17781760\"]\n  7 [size=\"43166720\", alpha=\"0.01\", expect_size=\"17266688\"] \n  7 -> 17 [size =\"17266688\"]\n  7 -> 21 [size =\"17266688\"]\n  7 -> 23 [size =\"17266688\"]\n  7 -> 25 [size =\"17266688\"]\n  7 -> 28 [size =\"17266688\"]\n  8 [size=\"87459840\", alpha=\"0.15\", expect_size=\"34983936\"] \n  8 -> 17 [size =\"34983936\"]\n  8 -> 20 [size =\"34983936\"]\n  8 -> 22 [size =\"34983936\"]\n  8 -> 23 [size =\"34983936\"]\n  8 -> 28 [size =\"34983936\"]\n  9 [size=\"98833920\", alpha=\"0.05\", expect_size=\"39533568\"] \n  9 -> 17 [size =\"39533568\"]\n  9 -> 22 [size =\"39533568\"]\n  9 -> 23 [size =\"39533568\"]\n  9 -> 25 [size =\"39533568\"]\n  9 -> 28 [size =\"39533568\"]\n  10 [size=\"61073920\", alpha=\"0.11\", expect_size=\"24429568\"] \n  10 -> 17 [size =\"24429568\"]\n  10 -> 20 [size =\"24429568\"]\n  10 -> 25 [size =\"24429568\"]\n  10 -> 28 [size =\"24429568\"]\n  11 [size=\"114004480\", alpha=\"0.10\", expect_size=\"45601792\"] \n  11 -> 17 [size =\"45601792\"]\n  11 -> 20 [size =\"45601792\"]\n  11 -> 26 [size =\"45601792\"]\n  11 -> 28 [size =\"45601792\"]\n  12 [size=\"72545280\", alpha=\"0.08\", expect_size=\"29018112\"] \n  12 -> 17 [size =\"29018112\"]\n  12 -> 23 [size =\"29018112\"]\n  12 -> 28 [size =\"29018112\"]\n  12 -> 28 [size =\"29018112\"]\n  12 -> 29 [size =\"29018112\"]\n  13 [size=\"66368000\", alpha=\"0.15\", expect_size=\"26547200\"] \n  13 -> 17 [size =\"26547200\"]\n  13 -> 20 [size =\"26547200\"]\n  13 -> 23 [size =\"26547200\"]\n  14 [size=\"29184000\", alpha=\"0.14\", expect_size=\"11673600\"] \n  14 -> 17 [size =\"11673600\"]\n  14 -> 18 [size =\"11673600\"]\n  14 -> 19 [size =\"11673600\"]\n  14 -> 20 [size =\"11673600\"]\n  14 -> 25 [size =\"11673600\"]\n  14 -> 29 [size =\"11673600\"]\n  15 [size=\"39091200\", alpha=\"0.06\", expect_size=\"15636480\"] \n  15 -> 17 [size =\"15636480\"]\n  15 -> 18 [size =\"15636480\"]\n  15 -> 25 [size =\"15636480\"]\n  15 -> 28 [size =\"15636480\"]\n  16 [size=\"39249920\", alpha=\"0.19\", expect_size=\"15699968\"] \n  16 -> 17 [size =\"15699968\"]\n  16 -> 22 [size =\"15699968\"]\n  16 -> 29 [size =\"15699968\"]\n  17 [size=\"109647360\", alpha=\"0.17\", expect_size=\"43858944\"] \n  17 -> 34 [size =\"43858944\"]\n  17 -> 35 [size =\"43858944\"]\n  17 -> 38 [size =\"43858944\"]\n  17 -> 39 [size =\"43858944\"]\n  17 -> 40 [size =\"43858944\"]\n  18 [size=\"116203520\", alpha=\"0.15\", expect_size=\"46481408\"] \n  18 -> 31 [size =\"46481408\"]\n  18 -> 40 [size =\"46481408\"]\n  19 [size=\"89446400\", alpha=\"0.05\", expect_size=\"35778560\"] \n  19 -> 31 [size =\"35778560\"]\n  19 -> 32 [size =\"35778560\"]\n  19 -> 35 [size =\"35778560\"]\n  19 -> 38 [size =\"35778560\"]\n  19 -> 40 [size =\"35778560\"]\n  20 [size=\"116815360\", alpha=\"0.04\", expect_size=\"46726144\"] \n  20 -> 32 [size =\"46726144\"]\n  20 -> 34 [size =\"46726144\"]\n  20 -> 35 [size =\"46726144\"]\n  20 -> 37 [size =\"46726144\"]\n  20 -> 39 [size =\"46726144\"]\n  21 [size=\"63357440\", alpha=\"0.03\", expect_size=\"25342976\"] \n  21 -> 31 [size =\"25342976\"]\n  21 -> 32 [size =\"25342976\"]\n  21 -> 34 [size =\"25342976\"]\n  21 -> 35 [size =\"25342976\"]\n  21 -> 36 [size =\"25342976\"]\n  22 [size=\"125148160\", alpha=\"0.01\", expect_size=\"50059264\"] \n  22 -> 30 [size =\"50059264\"]\n  22 -> 35 [size =\"50059264\"]\n  23 [size=\"53488640\", alpha=\"0.12\", expect_size=\"21395456\"] \n  23 -> 35 [size =\"21395456\"]\n  24 [size=\"22220800\", alpha=\"0.09\", expect_size=\"8888320\"] \n  24 -> 31 [size =\"8888320\"]\n  24 -> 34 [size =\"8888320\"]\n  24 -> 39 [size =\"8888320\"]\n  24 -> 40 [size =\"8888320\"]\n  25 [size=\"105077760\", alpha=\"0.08\", expect_size=\"42031104\"] \n  25 -> 31 [size =\"42031104\"]\n  25 -> 32 [size =\"42031104\"]\n  25 -> 33 [size =\"42031104\"]\n  25 -> 35 [size =\"42031104\"]\n  25 -> 40 [size =\"42031104\"]\n  26 [size=\"21143040\", alpha=\"0.13\", expect_size=\"8457216\"] \n  26 -> 39 [size =\"8457216\"]\n  26 -> 40 [size =\"8457216\"]\n  27 [size=\"13752320\", alpha=\"0.03\", expect_size=\"5500928\"] \n  27 -> 31 [size =\"5500928\"]\n  27 -> 32 [size =\"5500928\"]\n  27 -> 34 [size =\"5500928\"]\n  27 -> 35 [size =\"5500928\"]\n  27 -> 40 [size =\"5500928\"]\n  28 [size=\"112343040\", alpha=\"0.06\", expect_size=\"44937216\"] \n  28 -> 31 [size =\"44937216\"]\n  28 -> 32 [size =\"44937216\"]\n  28 -> 34 [size =\"44937216\"]\n  28 -> 35 [size =\"44937216\"]\n  28 -> 38 [size =\"44937216\"]\n  28 -> 39 [size =\"44937216\"]\n  28 -> 40 [size =\"44937216\"]\n  29 [size=\"80714240\", alpha=\"0.03\", expect_size=\"32285696\"] \n  29 -> 33 [size =\"32285696\"]\n  29 -> 34 [size =\"32285696\"]\n  29 -> 40 [size =\"32285696\"]\n  30 [size=\"108930560\", alpha=\"0.09\", expect_size=\"43572224\"] \n  30 -> 42 [size =\"43572224\"]\n  30 -> 43 [size =\"43572224\"]\n  31 [size=\"15838720\", alpha=\"0.11\", expect_size=\"6335488\"] \n  32 [size=\"32343040\", alpha=\"0.04\", expect_size=\"12937216\"] \n  32 -> 42 [size =\"12937216\"]\n  32 -> 44 [size =\"12937216\"]\n  32 -> 45 [size =\"12937216\"]\n  33 [size=\"40320000\", alpha=\"0.05\", expect_size=\"16128000\"] \n  33 -> 41 [size =\"16128000\"]\n  33 -> 44 [size =\"16128000\"]\n  34 [size=\"113456640\", alpha=\"0.09\", expect_size=\"45382656\"] \n  34 -> 41 [size =\"45382656\"]\n  34 -> 44 [size =\"45382656\"]\n  35 [size=\"45931520\", alpha=\"0.18\", expect_size=\"18372608\"] \n  35 -> 43 [size =\"18372608\"]\n  35 -> 44 [size =\"18372608\"]\n  36 [size=\"94438400\", alpha=\"0.11\", expect_size=\"37775360\"] \n  36 -> 41 [size =\"37775360\"]\n  36 -> 43 [size =\"37775360\"]\n  36 -> 44 [size =\"37775360\"]\n  37 [size=\"54402560\", alpha=\"0.01\", expect_size=\"21761024\"] \n  37 -> 41 [size =\"21761024\"]\n  37 -> 44 [size =\"21761024\"]\n  38 [size=\"73843200\", alpha=\"0.08\", expect_size=\"29537280\"] \n  38 -> 41 [size =\"29537280\"]\n  38 -> 44 [size =\"29537280\"]\n  38 -> 45 [size =\"29537280\"]\n  39 [size=\"109155840\", alpha=\"0.08\", expect_size=\"43662336\"] \n  39 -> 41 [size =\"43662336\"]\n  39 -> 43 [size =\"43662336\"]\n  40 [size=\"128097280\", alpha=\"0.05\", expect_size=\"51238912\"] \n  40 -> 41 [size =\"51238912\"]\n  40 -> 42 [size =\"51238912\"]\n  40 -> 45 [size =\"51238912\"]\n  41 [size=\"60672000\", alpha=\"0.11\", expect_size=\"24268800\"] \n  42 [size=\"125744640\", alpha=\"0.16\", expect_size=\"50297856\"] \n  43 [size=\"28858880\", alpha=\"0.08\", expect_size=\"11543552\"] \n  44 [size=\"59205120\", alpha=\"0.02\", expect_size=\"23682048\"] \n  45 [size=\"114897920\", alpha=\"0.11\", expect_size=\"45959168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34762752\", alpha=\"0.05\", expect_size=\"17381376\"] \n  1 -> 11 [size =\"17381376\"]\n  1 -> 12 [size =\"17381376\"]\n  1 -> 13 [size =\"17381376\"]\n  1 -> 14 [size =\"17381376\"]\n  1 -> 16 [size =\"17381376\"]\n  1 -> 19 [size =\"17381376\"]\n  2 [size=\"46465024\", alpha=\"0.14\", expect_size=\"23232512\"] \n  2 -> 12 [size =\"23232512\"]\n  2 -> 13 [size =\"23232512\"]\n  2 -> 15 [size =\"23232512\"]\n  3 [size=\"71858176\", alpha=\"0.18\", expect_size=\"35929088\"] \n  3 -> 12 [size =\"35929088\"]\n  3 -> 13 [size =\"35929088\"]\n  3 -> 18 [size =\"35929088\"]\n  3 -> 19 [size =\"35929088\"]\n  4 [size=\"48941056\", alpha=\"0.19\", expect_size=\"24470528\"] \n  4 -> 12 [size =\"24470528\"]\n  4 -> 14 [size =\"24470528\"]\n  4 -> 15 [size =\"24470528\"]\n  4 -> 16 [size =\"24470528\"]\n  4 -> 18 [size =\"24470528\"]\n  5 [size=\"31027200\", alpha=\"0.02\", expect_size=\"15513600\"] \n  5 -> 14 [size =\"15513600\"]\n  5 -> 15 [size =\"15513600\"]\n  5 -> 16 [size =\"15513600\"]\n  5 -> 17 [size =\"15513600\"]\n  6 [size=\"33882112\", alpha=\"0.00\", expect_size=\"16941056\"] \n  6 -> 13 [size =\"16941056\"]\n  6 -> 14 [size =\"16941056\"]\n  6 -> 17 [size =\"16941056\"]\n  6 -> 18 [size =\"16941056\"]\n  7 [size=\"91631616\", alpha=\"0.15\", expect_size=\"45815808\"] \n  7 -> 12 [size =\"45815808\"]\n  7 -> 13 [size =\"45815808\"]\n  8 [size=\"63791104\", alpha=\"0.07\", expect_size=\"31895552\"] \n  8 -> 18 [size =\"31895552\"]\n  9 [size=\"57769984\", alpha=\"0.02\", expect_size=\"28884992\"] \n  9 -> 11 [size =\"28884992\"]\n  9 -> 15 [size =\"28884992\"]\n  9 -> 17 [size =\"28884992\"]\n  9 -> 19 [size =\"28884992\"]\n  10 [size=\"81858560\", alpha=\"0.16\", expect_size=\"40929280\"] \n  10 -> 15 [size =\"40929280\"]\n  11 [size=\"26120192\", alpha=\"0.09\", expect_size=\"13060096\"] \n  11 -> 22 [size =\"13060096\"]\n  11 -> 24 [size =\"13060096\"]\n  11 -> 27 [size =\"13060096\"]\n  11 -> 30 [size =\"13060096\"]\n  11 -> 31 [size =\"13060096\"]\n  11 -> 34 [size =\"13060096\"]\n  12 [size=\"48029696\", alpha=\"0.05\", expect_size=\"24014848\"] \n  12 -> 20 [size =\"24014848\"]\n  12 -> 22 [size =\"24014848\"]\n  12 -> 24 [size =\"24014848\"]\n  12 -> 28 [size =\"24014848\"]\n  12 -> 29 [size =\"24014848\"]\n  12 -> 32 [size =\"24014848\"]\n  12 -> 33 [size =\"24014848\"]\n  12 -> 35 [size =\"24014848\"]\n  13 [size=\"19945472\", alpha=\"0.11\", expect_size=\"9972736\"] \n  13 -> 25 [size =\"9972736\"]\n  13 -> 28 [size =\"9972736\"]\n  13 -> 29 [size =\"9972736\"]\n  14 [size=\"103911424\", alpha=\"0.20\", expect_size=\"51955712\"] \n  14 -> 20 [size =\"51955712\"]\n  14 -> 22 [size =\"51955712\"]\n  14 -> 23 [size =\"51955712\"]\n  14 -> 24 [size =\"51955712\"]\n  14 -> 31 [size =\"51955712\"]\n  14 -> 34 [size =\"51955712\"]\n  14 -> 36 [size =\"51955712\"]\n  15 [size=\"100526080\", alpha=\"0.07\", expect_size=\"50263040\"] \n  15 -> 25 [size =\"50263040\"]\n  15 -> 28 [size =\"50263040\"]\n  15 -> 32 [size =\"50263040\"]\n  15 -> 35 [size =\"50263040\"]\n  16 [size=\"13953024\", alpha=\"0.15\", expect_size=\"6976512\"] \n  16 -> 20 [size =\"6976512\"]\n  16 -> 26 [size =\"6976512\"]\n  16 -> 35 [size =\"6976512\"]\n  16 -> 35 [size =\"6976512\"]\n  17 [size=\"15028224\", alpha=\"0.15\", expect_size=\"7514112\"] \n  17 -> 20 [size =\"7514112\"]\n  17 -> 26 [size =\"7514112\"]\n  17 -> 29 [size =\"7514112\"]\n  18 [size=\"85481472\", alpha=\"0.15\", expect_size=\"42740736\"] \n  18 -> 20 [size =\"42740736\"]\n  18 -> 22 [size =\"42740736\"]\n  18 -> 24 [size =\"42740736\"]\n  18 -> 29 [size =\"42740736\"]\n  18 -> 30 [size =\"42740736\"]\n  18 -> 34 [size =\"42740736\"]\n  18 -> 36 [size =\"42740736\"]\n  19 [size=\"25272320\", alpha=\"0.14\", expect_size=\"12636160\"] \n  19 -> 21 [size =\"12636160\"]\n  19 -> 22 [size =\"12636160\"]\n  19 -> 24 [size =\"12636160\"]\n  19 -> 28 [size =\"12636160\"]\n  19 -> 30 [size =\"12636160\"]\n  20 [size=\"33040384\", alpha=\"0.17\", expect_size=\"16520192\"] \n  20 -> 37 [size =\"16520192\"]\n  20 -> 39 [size =\"16520192\"]\n  20 -> 41 [size =\"16520192\"]\n  21 [size=\"14612480\", alpha=\"0.05\", expect_size=\"7306240\"] \n  21 -> 37 [size =\"7306240\"]\n  22 [size=\"56465408\", alpha=\"0.00\", expect_size=\"28232704\"] \n  22 -> 37 [size =\"28232704\"]\n  23 [size=\"77948928\", alpha=\"0.09\", expect_size=\"38974464\"] \n  23 -> 37 [size =\"38974464\"]\n  23 -> 43 [size =\"38974464\"]\n  23 -> 45 [size =\"38974464\"]\n  24 [size=\"35878912\", alpha=\"0.06\", expect_size=\"17939456\"] \n  24 -> 37 [size =\"17939456\"]\n  24 -> 42 [size =\"17939456\"]\n  25 [size=\"35340288\", alpha=\"0.07\", expect_size=\"17670144\"] \n  25 -> 38 [size =\"17670144\"]\n  25 -> 39 [size =\"17670144\"]\n  25 -> 41 [size =\"17670144\"]\n  25 -> 45 [size =\"17670144\"]\n  26 [size=\"70281216\", alpha=\"0.13\", expect_size=\"35140608\"] \n  26 -> 39 [size =\"35140608\"]\n  26 -> 40 [size =\"35140608\"]\n  27 [size=\"45017088\", alpha=\"0.16\", expect_size=\"22508544\"] \n  27 -> 37 [size =\"22508544\"]\n  27 -> 38 [size =\"22508544\"]\n  27 -> 39 [size =\"22508544\"]\n  27 -> 40 [size =\"22508544\"]\n  27 -> 42 [size =\"22508544\"]\n  27 -> 44 [size =\"22508544\"]\n  28 [size=\"20385792\", alpha=\"0.11\", expect_size=\"10192896\"] \n  28 -> 38 [size =\"10192896\"]\n  28 -> 39 [size =\"10192896\"]\n  28 -> 41 [size =\"10192896\"]\n  29 [size=\"91916288\", alpha=\"0.16\", expect_size=\"45958144\"] \n  29 -> 38 [size =\"45958144\"]\n  29 -> 44 [size =\"45958144\"]\n  29 -> 45 [size =\"45958144\"]\n  30 [size=\"63479808\", alpha=\"0.15\", expect_size=\"31739904\"] \n  30 -> 39 [size =\"31739904\"]\n  30 -> 40 [size =\"31739904\"]\n  30 -> 41 [size =\"31739904\"]\n  31 [size=\"48482304\", alpha=\"0.18\", expect_size=\"24241152\"] \n  31 -> 41 [size =\"24241152\"]\n  32 [size=\"71202816\", alpha=\"0.09\", expect_size=\"35601408\"] \n  32 -> 37 [size =\"35601408\"]\n  33 [size=\"73246720\", alpha=\"0.02\", expect_size=\"36623360\"] \n  33 -> 37 [size =\"36623360\"]\n  33 -> 40 [size =\"36623360\"]\n  33 -> 43 [size =\"36623360\"]\n  33 -> 45 [size =\"36623360\"]\n  34 [size=\"21618688\", alpha=\"0.15\", expect_size=\"10809344\"] \n  34 -> 37 [size =\"10809344\"]\n  34 -> 44 [size =\"10809344\"]\n  34 -> 45 [size =\"10809344\"]\n  35 [size=\"49145856\", alpha=\"0.07\", expect_size=\"24572928\"] \n  35 -> 40 [size =\"24572928\"]\n  35 -> 44 [size =\"24572928\"]\n  36 [size=\"81997824\", alpha=\"0.20\", expect_size=\"40998912\"] \n  36 -> 37 [size =\"40998912\"]\n  36 -> 41 [size =\"40998912\"]\n  37 [size=\"49201152\", alpha=\"0.13\", expect_size=\"24600576\"] \n  38 [size=\"31901696\", alpha=\"0.03\", expect_size=\"15950848\"] \n  39 [size=\"83404800\", alpha=\"0.15\", expect_size=\"41702400\"] \n  40 [size=\"62255104\", alpha=\"0.13\", expect_size=\"31127552\"] \n  41 [size=\"39823360\", alpha=\"0.11\", expect_size=\"19911680\"] \n  42 [size=\"31748096\", alpha=\"0.19\", expect_size=\"15874048\"] \n  43 [size=\"75569152\", alpha=\"0.01\", expect_size=\"37784576\"] \n  44 [size=\"86380544\", alpha=\"0.09\", expect_size=\"43190272\"] \n  45 [size=\"63234048\", alpha=\"0.02\", expect_size=\"31617024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31198720\", alpha=\"0.18\", expect_size=\"12479488\"] \n  1 -> 2 [size =\"12479488\"]\n  2 [size=\"78256640\", alpha=\"0.10\", expect_size=\"31302656\"] \n  2 -> 3 [size =\"31302656\"]\n  3 [size=\"78302720\", alpha=\"0.15\", expect_size=\"31321088\"] \n  3 -> 4 [size =\"31321088\"]\n  4 [size=\"47828480\", alpha=\"0.15\", expect_size=\"19131392\"] \n  4 -> 5 [size =\"19131392\"]\n  5 [size=\"39572480\", alpha=\"0.19\", expect_size=\"15828992\"] \n  5 -> 6 [size =\"15828992\"]\n  6 [size=\"105464320\", alpha=\"0.11\", expect_size=\"42185728\"] \n  6 -> 7 [size =\"42185728\"]\n  7 [size=\"115445760\", alpha=\"0.15\", expect_size=\"46178304\"] \n  7 -> 8 [size =\"46178304\"]\n  8 [size=\"80972800\", alpha=\"0.08\", expect_size=\"32389120\"] \n  8 -> 9 [size =\"32389120\"]\n  9 [size=\"42792960\", alpha=\"0.08\", expect_size=\"17117184\"] \n  9 -> 10 [size =\"17117184\"]\n  10 [size=\"83156480\", alpha=\"0.12\", expect_size=\"33262592\"] \n  10 -> 11 [size =\"33262592\"]\n  11 [size=\"124313600\", alpha=\"0.03\", expect_size=\"49725440\"] \n  11 -> 12 [size =\"49725440\"]\n  12 [size=\"115386880\", alpha=\"0.03\", expect_size=\"46154752\"] \n  12 -> 13 [size =\"46154752\"]\n  13 [size=\"55116800\", alpha=\"0.06\", expect_size=\"22046720\"] \n  13 -> 14 [size =\"22046720\"]\n  14 [size=\"25154560\", alpha=\"0.12\", expect_size=\"10061824\"] \n  14 -> 15 [size =\"10061824\"]\n  15 [size=\"114657280\", alpha=\"0.04\", expect_size=\"45862912\"] \n  15 -> 16 [size =\"45862912\"]\n  16 [size=\"106567680\", alpha=\"0.11\", expect_size=\"42627072\"] \n  16 -> 17 [size =\"42627072\"]\n  17 [size=\"56171520\", alpha=\"0.00\", expect_size=\"22468608\"] \n  17 -> 18 [size =\"22468608\"]\n  18 [size=\"27816960\", alpha=\"0.04\", expect_size=\"11126784\"] \n  18 -> 19 [size =\"11126784\"]\n  19 [size=\"74506240\", alpha=\"0.09\", expect_size=\"29802496\"] \n  19 -> 20 [size =\"29802496\"]\n  20 [size=\"121431040\", alpha=\"0.09\", expect_size=\"48572416\"] \n  20 -> 21 [size =\"48572416\"]\n  21 [size=\"72481280\", alpha=\"0.12\", expect_size=\"28992512\"] \n  21 -> 22 [size =\"28992512\"]\n  22 [size=\"89856000\", alpha=\"0.06\", expect_size=\"35942400\"] \n  22 -> 23 [size =\"35942400\"]\n  23 [size=\"109762560\", alpha=\"0.11\", expect_size=\"43905024\"] \n  23 -> 24 [size =\"43905024\"]\n  24 [size=\"27008000\", alpha=\"0.02\", expect_size=\"10803200\"] \n  24 -> 25 [size =\"10803200\"]\n  25 [size=\"100198400\", alpha=\"0.18\", expect_size=\"40079360\"] \n  25 -> 26 [size =\"40079360\"]\n  26 [size=\"121390080\", alpha=\"0.09\", expect_size=\"48556032\"] \n  26 -> 27 [size =\"48556032\"]\n  27 [size=\"66513920\", alpha=\"0.17\", expect_size=\"26605568\"] \n  27 -> 28 [size =\"26605568\"]\n  28 [size=\"67773440\", alpha=\"0.17\", expect_size=\"27109376\"] \n  28 -> 29 [size =\"27109376\"]\n  29 [size=\"89507840\", alpha=\"0.02\", expect_size=\"35803136\"] \n  29 -> 30 [size =\"35803136\"]\n  30 [size=\"24248320\", alpha=\"0.19\", expect_size=\"9699328\"] \n  30 -> 31 [size =\"9699328\"]\n  31 [size=\"76669440\", alpha=\"0.15\", expect_size=\"30667776\"] \n  31 -> 32 [size =\"30667776\"]\n  32 [size=\"28928000\", alpha=\"0.08\", expect_size=\"11571200\"] \n  32 -> 33 [size =\"11571200\"]\n  33 [size=\"64145920\", alpha=\"0.08\", expect_size=\"25658368\"] \n  33 -> 34 [size =\"25658368\"]\n  34 [size=\"129553920\", alpha=\"0.11\", expect_size=\"51821568\"] \n  34 -> 35 [size =\"51821568\"]\n  35 [size=\"23946240\", alpha=\"0.10\", expect_size=\"9578496\"] \n  35 -> 36 [size =\"9578496\"]\n  36 [size=\"127682560\", alpha=\"0.05\", expect_size=\"51073024\"] \n  36 -> 37 [size =\"51073024\"]\n  37 [size=\"61260800\", alpha=\"0.08\", expect_size=\"24504320\"] \n  37 -> 38 [size =\"24504320\"]\n  38 [size=\"44986880\", alpha=\"0.13\", expect_size=\"17994752\"] \n  38 -> 39 [size =\"17994752\"]\n  39 [size=\"28764160\", alpha=\"0.09\", expect_size=\"11505664\"] \n  39 -> 40 [size =\"11505664\"]\n  40 [size=\"42280960\", alpha=\"0.03\", expect_size=\"16912384\"] \n  40 -> 41 [size =\"16912384\"]\n  41 [size=\"37624320\", alpha=\"0.07\", expect_size=\"15049728\"] \n  41 -> 42 [size =\"15049728\"]\n  42 [size=\"126000640\", alpha=\"0.04\", expect_size=\"50400256\"] \n  42 -> 43 [size =\"50400256\"]\n  43 [size=\"55792640\", alpha=\"0.17\", expect_size=\"22317056\"] \n  43 -> 44 [size =\"22317056\"]\n  44 [size=\"104944640\", alpha=\"0.13\", expect_size=\"41977856\"] \n  44 -> 45 [size =\"41977856\"]\n  45 [size=\"49571840\", alpha=\"0.03\", expect_size=\"19828736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54525440\", alpha=\"0.13\", expect_size=\"21810176\"] \n  1 -> 5 [size =\"21810176\"]\n  2 [size=\"98434560\", alpha=\"0.10\", expect_size=\"39373824\"] \n  3 [size=\"31900160\", alpha=\"0.07\", expect_size=\"12760064\"] \n  3 -> 4 [size =\"12760064\"]\n  3 -> 5 [size =\"12760064\"]\n  4 [size=\"88317440\", alpha=\"0.04\", expect_size=\"35326976\"] \n  4 -> 6 [size =\"35326976\"]\n  5 [size=\"76697600\", alpha=\"0.11\", expect_size=\"30679040\"] \n  5 -> 7 [size =\"30679040\"]\n  6 [size=\"127636480\", alpha=\"0.11\", expect_size=\"51054592\"] \n  6 -> 9 [size =\"51054592\"]\n  6 -> 10 [size =\"51054592\"]\n  7 [size=\"130083840\", alpha=\"0.12\", expect_size=\"52033536\"] \n  7 -> 8 [size =\"52033536\"]\n  8 [size=\"71649280\", alpha=\"0.16\", expect_size=\"28659712\"] \n  8 -> 13 [size =\"28659712\"]\n  9 [size=\"68405760\", alpha=\"0.18\", expect_size=\"27362304\"] \n  10 [size=\"57154560\", alpha=\"0.07\", expect_size=\"22861824\"] \n  10 -> 11 [size =\"22861824\"]\n  10 -> 12 [size =\"22861824\"]\n  11 [size=\"49000960\", alpha=\"0.05\", expect_size=\"19600384\"] \n  12 [size=\"125557760\", alpha=\"0.18\", expect_size=\"50223104\"] \n  12 -> 14 [size =\"50223104\"]\n  13 [size=\"65187840\", alpha=\"0.07\", expect_size=\"26075136\"] \n  13 -> 15 [size =\"26075136\"]\n  14 [size=\"107002880\", alpha=\"0.15\", expect_size=\"42801152\"] \n  14 -> 17 [size =\"42801152\"]\n  14 -> 18 [size =\"42801152\"]\n  15 [size=\"129630720\", alpha=\"0.16\", expect_size=\"51852288\"] \n  15 -> 16 [size =\"51852288\"]\n  16 [size=\"75934720\", alpha=\"0.11\", expect_size=\"30373888\"] \n  16 -> 20 [size =\"30373888\"]\n  17 [size=\"21312000\", alpha=\"0.19\", expect_size=\"8524800\"] \n  18 [size=\"91709440\", alpha=\"0.18\", expect_size=\"36683776\"] \n  18 -> 19 [size =\"36683776\"]\n  19 [size=\"66112000\", alpha=\"0.07\", expect_size=\"26444800\"] \n  19 -> 22 [size =\"26444800\"]\n  19 -> 23 [size =\"26444800\"]\n  20 [size=\"53744640\", alpha=\"0.11\", expect_size=\"21497856\"] \n  20 -> 21 [size =\"21497856\"]\n  21 [size=\"93406720\", alpha=\"0.03\", expect_size=\"37362688\"] \n  21 -> 24 [size =\"37362688\"]\n  21 -> 26 [size =\"37362688\"]\n  22 [size=\"120273920\", alpha=\"0.10\", expect_size=\"48109568\"] \n  22 -> 25 [size =\"48109568\"]\n  23 [size=\"107806720\", alpha=\"0.19\", expect_size=\"43122688\"] \n  23 -> 24 [size =\"43122688\"]\n  24 [size=\"33571840\", alpha=\"0.01\", expect_size=\"13428736\"] \n  24 -> 27 [size =\"13428736\"]\n  25 [size=\"120266240\", alpha=\"0.14\", expect_size=\"48106496\"] \n  25 -> 28 [size =\"48106496\"]\n  26 [size=\"95037440\", alpha=\"0.07\", expect_size=\"38014976\"] \n  26 -> 27 [size =\"38014976\"]\n  27 [size=\"39019520\", alpha=\"0.19\", expect_size=\"15607808\"] \n  27 -> 30 [size =\"15607808\"]\n  28 [size=\"31695360\", alpha=\"0.01\", expect_size=\"12678144\"] \n  28 -> 29 [size =\"12678144\"]\n  28 -> 31 [size =\"12678144\"]\n  29 [size=\"18590720\", alpha=\"0.13\", expect_size=\"7436288\"] \n  30 [size=\"57694720\", alpha=\"0.12\", expect_size=\"23077888\"] \n  30 -> 33 [size =\"23077888\"]\n  31 [size=\"125265920\", alpha=\"0.17\", expect_size=\"50106368\"] \n  31 -> 32 [size =\"50106368\"]\n  31 -> 33 [size =\"50106368\"]\n  32 [size=\"26792960\", alpha=\"0.01\", expect_size=\"10717184\"] \n  33 [size=\"83537920\", alpha=\"0.14\", expect_size=\"33415168\"] \n  33 -> 34 [size =\"33415168\"]\n  33 -> 35 [size =\"33415168\"]\n  34 [size=\"78361600\", alpha=\"0.03\", expect_size=\"31344640\"] \n  34 -> 36 [size =\"31344640\"]\n  34 -> 37 [size =\"31344640\"]\n  34 -> 38 [size =\"31344640\"]\n  35 [size=\"86479360\", alpha=\"0.12\", expect_size=\"34591744\"] \n  36 [size=\"53516800\", alpha=\"0.11\", expect_size=\"21406720\"] \n  36 -> 41 [size =\"21406720\"]\n  37 [size=\"94005760\", alpha=\"0.12\", expect_size=\"37602304\"] \n  37 -> 39 [size =\"37602304\"]\n  37 -> 40 [size =\"37602304\"]\n  38 [size=\"88995840\", alpha=\"0.06\", expect_size=\"35598336\"] \n  39 [size=\"97029120\", alpha=\"0.09\", expect_size=\"38811648\"] \n  39 -> 42 [size =\"38811648\"]\n  40 [size=\"55441920\", alpha=\"0.19\", expect_size=\"22176768\"] \n  40 -> 42 [size =\"22176768\"]\n  40 -> 43 [size =\"22176768\"]\n  41 [size=\"126248960\", alpha=\"0.03\", expect_size=\"50499584\"] \n  41 -> 43 [size =\"50499584\"]\n  42 [size=\"109414400\", alpha=\"0.05\", expect_size=\"43765760\"] \n  42 -> 44 [size =\"43765760\"]\n  43 [size=\"117388800\", alpha=\"0.02\", expect_size=\"46955520\"] \n  43 -> 45 [size =\"46955520\"]\n  44 [size=\"84288000\", alpha=\"0.04\", expect_size=\"33715200\"] \n  45 [size=\"104012800\", alpha=\"0.03\", expect_size=\"41605120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101386240\", alpha=\"0.07\", expect_size=\"30415872\"] \n  1 -> 33 [size =\"30415872\"]\n  1 -> 36 [size =\"30415872\"]\n  1 -> 36 [size =\"30415872\"]\n  1 -> 37 [size =\"30415872\"]\n  1 -> 38 [size =\"30415872\"]\n  1 -> 39 [size =\"30415872\"]\n  1 -> 40 [size =\"30415872\"]\n  1 -> 41 [size =\"30415872\"]\n  1 -> 43 [size =\"30415872\"]\n  1 -> 45 [size =\"30415872\"]\n  2 [size=\"89559040\", alpha=\"0.13\", expect_size=\"26867712\"] \n  2 -> 34 [size =\"26867712\"]\n  2 -> 36 [size =\"26867712\"]\n  2 -> 37 [size =\"26867712\"]\n  2 -> 38 [size =\"26867712\"]\n  2 -> 45 [size =\"26867712\"]\n  3 [size=\"113585493\", alpha=\"0.14\", expect_size=\"34075648\"] \n  3 -> 34 [size =\"34075648\"]\n  3 -> 36 [size =\"34075648\"]\n  3 -> 39 [size =\"34075648\"]\n  3 -> 40 [size =\"34075648\"]\n  3 -> 44 [size =\"34075648\"]\n  3 -> 45 [size =\"34075648\"]\n  4 [size=\"141929813\", alpha=\"0.14\", expect_size=\"42578944\"] \n  4 -> 33 [size =\"42578944\"]\n  4 -> 34 [size =\"42578944\"]\n  4 -> 36 [size =\"42578944\"]\n  4 -> 38 [size =\"42578944\"]\n  4 -> 41 [size =\"42578944\"]\n  4 -> 43 [size =\"42578944\"]\n  4 -> 45 [size =\"42578944\"]\n  5 [size=\"77612373\", alpha=\"0.06\", expect_size=\"23283712\"] \n  5 -> 33 [size =\"23283712\"]\n  5 -> 34 [size =\"23283712\"]\n  5 -> 35 [size =\"23283712\"]\n  5 -> 36 [size =\"23283712\"]\n  5 -> 37 [size =\"23283712\"]\n  5 -> 38 [size =\"23283712\"]\n  5 -> 41 [size =\"23283712\"]\n  5 -> 43 [size =\"23283712\"]\n  5 -> 44 [size =\"23283712\"]\n  5 -> 45 [size =\"23283712\"]\n  6 [size=\"167447893\", alpha=\"0.04\", expect_size=\"50234368\"] \n  6 -> 33 [size =\"50234368\"]\n  6 -> 34 [size =\"50234368\"]\n  6 -> 37 [size =\"50234368\"]\n  6 -> 41 [size =\"50234368\"]\n  6 -> 43 [size =\"50234368\"]\n  6 -> 45 [size =\"50234368\"]\n  7 [size=\"62682453\", alpha=\"0.01\", expect_size=\"18804736\"] \n  7 -> 33 [size =\"18804736\"]\n  7 -> 36 [size =\"18804736\"]\n  7 -> 45 [size =\"18804736\"]\n  8 [size=\"131334827\", alpha=\"0.09\", expect_size=\"39400448\"] \n  8 -> 34 [size =\"39400448\"]\n  8 -> 35 [size =\"39400448\"]\n  8 -> 36 [size =\"39400448\"]\n  8 -> 41 [size =\"39400448\"]\n  8 -> 43 [size =\"39400448\"]\n  8 -> 45 [size =\"39400448\"]\n  9 [size=\"59501227\", alpha=\"0.11\", expect_size=\"17850368\"] \n  9 -> 33 [size =\"17850368\"]\n  9 -> 34 [size =\"17850368\"]\n  9 -> 35 [size =\"17850368\"]\n  9 -> 36 [size =\"17850368\"]\n  9 -> 37 [size =\"17850368\"]\n  9 -> 41 [size =\"17850368\"]\n  9 -> 43 [size =\"17850368\"]\n  9 -> 44 [size =\"17850368\"]\n  9 -> 45 [size =\"17850368\"]\n  10 [size=\"66638507\", alpha=\"0.09\", expect_size=\"19991552\"] \n  10 -> 34 [size =\"19991552\"]\n  10 -> 37 [size =\"19991552\"]\n  10 -> 43 [size =\"19991552\"]\n  10 -> 44 [size =\"19991552\"]\n  10 -> 45 [size =\"19991552\"]\n  11 [size=\"173455360\", alpha=\"0.16\", expect_size=\"52036608\"] \n  11 -> 33 [size =\"52036608\"]\n  11 -> 36 [size =\"52036608\"]\n  11 -> 37 [size =\"52036608\"]\n  11 -> 38 [size =\"52036608\"]\n  11 -> 43 [size =\"52036608\"]\n  11 -> 45 [size =\"52036608\"]\n  12 [size=\"72837120\", alpha=\"0.03\", expect_size=\"21851136\"] \n  12 -> 34 [size =\"21851136\"]\n  12 -> 36 [size =\"21851136\"]\n  12 -> 37 [size =\"21851136\"]\n  12 -> 41 [size =\"21851136\"]\n  12 -> 43 [size =\"21851136\"]\n  12 -> 44 [size =\"21851136\"]\n  12 -> 45 [size =\"21851136\"]\n  13 [size=\"17790293\", alpha=\"0.17\", expect_size=\"5337088\"] \n  13 -> 33 [size =\"5337088\"]\n  13 -> 34 [size =\"5337088\"]\n  13 -> 35 [size =\"5337088\"]\n  13 -> 36 [size =\"5337088\"]\n  13 -> 37 [size =\"5337088\"]\n  13 -> 41 [size =\"5337088\"]\n  14 [size=\"128747520\", alpha=\"0.03\", expect_size=\"38624256\"] \n  14 -> 33 [size =\"38624256\"]\n  14 -> 34 [size =\"38624256\"]\n  14 -> 35 [size =\"38624256\"]\n  14 -> 36 [size =\"38624256\"]\n  14 -> 37 [size =\"38624256\"]\n  14 -> 39 [size =\"38624256\"]\n  14 -> 41 [size =\"38624256\"]\n  14 -> 45 [size =\"38624256\"]\n  15 [size=\"84073813\", alpha=\"0.07\", expect_size=\"25222144\"] \n  15 -> 35 [size =\"25222144\"]\n  15 -> 36 [size =\"25222144\"]\n  15 -> 37 [size =\"25222144\"]\n  15 -> 40 [size =\"25222144\"]\n  15 -> 41 [size =\"25222144\"]\n  15 -> 43 [size =\"25222144\"]\n  15 -> 44 [size =\"25222144\"]\n  15 -> 45 [size =\"25222144\"]\n  16 [size=\"131969707\", alpha=\"0.12\", expect_size=\"39590912\"] \n  16 -> 33 [size =\"39590912\"]\n  16 -> 36 [size =\"39590912\"]\n  16 -> 37 [size =\"39590912\"]\n  16 -> 40 [size =\"39590912\"]\n  16 -> 43 [size =\"39590912\"]\n  16 -> 43 [size =\"39590912\"]\n  16 -> 45 [size =\"39590912\"]\n  16 -> 45 [size =\"39590912\"]\n  17 [size=\"165833387\", alpha=\"0.19\", expect_size=\"49750016\"] \n  17 -> 34 [size =\"49750016\"]\n  17 -> 36 [size =\"49750016\"]\n  17 -> 37 [size =\"49750016\"]\n  17 -> 38 [size =\"49750016\"]\n  17 -> 41 [size =\"49750016\"]\n  17 -> 43 [size =\"49750016\"]\n  17 -> 44 [size =\"49750016\"]\n  17 -> 45 [size =\"49750016\"]\n  18 [size=\"19851947\", alpha=\"0.01\", expect_size=\"5955584\"] \n  18 -> 33 [size =\"5955584\"]\n  18 -> 34 [size =\"5955584\"]\n  18 -> 36 [size =\"5955584\"]\n  18 -> 37 [size =\"5955584\"]\n  18 -> 41 [size =\"5955584\"]\n  18 -> 43 [size =\"5955584\"]\n  18 -> 44 [size =\"5955584\"]\n  18 -> 45 [size =\"5955584\"]\n  19 [size=\"88139093\", alpha=\"0.01\", expect_size=\"26441728\"] \n  19 -> 33 [size =\"26441728\"]\n  19 -> 36 [size =\"26441728\"]\n  19 -> 36 [size =\"26441728\"]\n  19 -> 37 [size =\"26441728\"]\n  19 -> 38 [size =\"26441728\"]\n  19 -> 39 [size =\"26441728\"]\n  19 -> 41 [size =\"26441728\"]\n  19 -> 43 [size =\"26441728\"]\n  19 -> 44 [size =\"26441728\"]\n  19 -> 45 [size =\"26441728\"]\n  20 [size=\"174240427\", alpha=\"0.16\", expect_size=\"52272128\"] \n  20 -> 33 [size =\"52272128\"]\n  20 -> 34 [size =\"52272128\"]\n  20 -> 36 [size =\"52272128\"]\n  20 -> 37 [size =\"52272128\"]\n  20 -> 41 [size =\"52272128\"]\n  20 -> 43 [size =\"52272128\"]\n  21 [size=\"87695360\", alpha=\"0.02\", expect_size=\"26308608\"] \n  21 -> 33 [size =\"26308608\"]\n  21 -> 34 [size =\"26308608\"]\n  21 -> 36 [size =\"26308608\"]\n  21 -> 37 [size =\"26308608\"]\n  21 -> 40 [size =\"26308608\"]\n  21 -> 41 [size =\"26308608\"]\n  21 -> 43 [size =\"26308608\"]\n  21 -> 45 [size =\"26308608\"]\n  22 [size=\"52411733\", alpha=\"0.17\", expect_size=\"15723520\"] \n  22 -> 33 [size =\"15723520\"]\n  22 -> 34 [size =\"15723520\"]\n  22 -> 36 [size =\"15723520\"]\n  22 -> 37 [size =\"15723520\"]\n  22 -> 38 [size =\"15723520\"]\n  22 -> 41 [size =\"15723520\"]\n  22 -> 43 [size =\"15723520\"]\n  22 -> 44 [size =\"15723520\"]\n  23 [size=\"78946987\", alpha=\"0.04\", expect_size=\"23684096\"] \n  23 -> 33 [size =\"23684096\"]\n  23 -> 34 [size =\"23684096\"]\n  23 -> 35 [size =\"23684096\"]\n  23 -> 36 [size =\"23684096\"]\n  23 -> 37 [size =\"23684096\"]\n  23 -> 38 [size =\"23684096\"]\n  23 -> 39 [size =\"23684096\"]\n  23 -> 41 [size =\"23684096\"]\n  23 -> 43 [size =\"23684096\"]\n  23 -> 44 [size =\"23684096\"]\n  23 -> 45 [size =\"23684096\"]\n  24 [size=\"58900480\", alpha=\"0.07\", expect_size=\"17670144\"] \n  24 -> 33 [size =\"17670144\"]\n  24 -> 34 [size =\"17670144\"]\n  24 -> 35 [size =\"17670144\"]\n  24 -> 36 [size =\"17670144\"]\n  24 -> 37 [size =\"17670144\"]\n  24 -> 41 [size =\"17670144\"]\n  24 -> 42 [size =\"17670144\"]\n  24 -> 43 [size =\"17670144\"]\n  24 -> 43 [size =\"17670144\"]\n  24 -> 44 [size =\"17670144\"]\n  25 [size=\"84363947\", alpha=\"0.17\", expect_size=\"25309184\"] \n  25 -> 33 [size =\"25309184\"]\n  25 -> 34 [size =\"25309184\"]\n  25 -> 37 [size =\"25309184\"]\n  25 -> 41 [size =\"25309184\"]\n  25 -> 43 [size =\"25309184\"]\n  26 [size=\"143131307\", alpha=\"0.07\", expect_size=\"42939392\"] \n  26 -> 33 [size =\"42939392\"]\n  26 -> 34 [size =\"42939392\"]\n  26 -> 36 [size =\"42939392\"]\n  26 -> 37 [size =\"42939392\"]\n  26 -> 38 [size =\"42939392\"]\n  26 -> 41 [size =\"42939392\"]\n  26 -> 43 [size =\"42939392\"]\n  26 -> 45 [size =\"42939392\"]\n  27 [size=\"80745813\", alpha=\"0.02\", expect_size=\"24223744\"] \n  27 -> 33 [size =\"24223744\"]\n  27 -> 34 [size =\"24223744\"]\n  27 -> 36 [size =\"24223744\"]\n  27 -> 37 [size =\"24223744\"]\n  27 -> 41 [size =\"24223744\"]\n  27 -> 41 [size =\"24223744\"]\n  27 -> 43 [size =\"24223744\"]\n  27 -> 45 [size =\"24223744\"]\n  28 [size=\"69014187\", alpha=\"0.12\", expect_size=\"20704256\"] \n  28 -> 34 [size =\"20704256\"]\n  28 -> 37 [size =\"20704256\"]\n  28 -> 39 [size =\"20704256\"]\n  28 -> 43 [size =\"20704256\"]\n  29 [size=\"74031787\", alpha=\"0.07\", expect_size=\"22209536\"] \n  29 -> 38 [size =\"22209536\"]\n  29 -> 39 [size =\"22209536\"]\n  29 -> 43 [size =\"22209536\"]\n  29 -> 45 [size =\"22209536\"]\n  30 [size=\"81233920\", alpha=\"0.09\", expect_size=\"24370176\"] \n  30 -> 33 [size =\"24370176\"]\n  30 -> 41 [size =\"24370176\"]\n  30 -> 44 [size =\"24370176\"]\n  30 -> 45 [size =\"24370176\"]\n  31 [size=\"49629867\", alpha=\"0.10\", expect_size=\"14888960\"] \n  31 -> 33 [size =\"14888960\"]\n  31 -> 34 [size =\"14888960\"]\n  31 -> 36 [size =\"14888960\"]\n  31 -> 37 [size =\"14888960\"]\n  31 -> 41 [size =\"14888960\"]\n  31 -> 44 [size =\"14888960\"]\n  32 [size=\"63129600\", alpha=\"0.19\", expect_size=\"18938880\"] \n  32 -> 33 [size =\"18938880\"]\n  32 -> 34 [size =\"18938880\"]\n  32 -> 36 [size =\"18938880\"]\n  32 -> 37 [size =\"18938880\"]\n  32 -> 38 [size =\"18938880\"]\n  32 -> 43 [size =\"18938880\"]\n  32 -> 44 [size =\"18938880\"]\n  32 -> 45 [size =\"18938880\"]\n  33 [size=\"36536320\", alpha=\"0.07\", expect_size=\"10960896\"] \n  34 [size=\"65952427\", alpha=\"0.10\", expect_size=\"19785728\"] \n  35 [size=\"118551893\", alpha=\"0.01\", expect_size=\"35565568\"] \n  36 [size=\"97181013\", alpha=\"0.06\", expect_size=\"29154304\"] \n  37 [size=\"151818240\", alpha=\"0.11\", expect_size=\"45545472\"] \n  38 [size=\"170383360\", alpha=\"0.15\", expect_size=\"51115008\"] \n  39 [size=\"109455360\", alpha=\"0.09\", expect_size=\"32836608\"] \n  40 [size=\"168342187\", alpha=\"0.03\", expect_size=\"50502656\"] \n  41 [size=\"81636693\", alpha=\"0.05\", expect_size=\"24491008\"] \n  42 [size=\"162604373\", alpha=\"0.12\", expect_size=\"48781312\"] \n  43 [size=\"152033280\", alpha=\"0.07\", expect_size=\"45609984\"] \n  44 [size=\"50244267\", alpha=\"0.07\", expect_size=\"15073280\"] \n  45 [size=\"125794987\", alpha=\"0.16\", expect_size=\"37738496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118555307\", alpha=\"0.15\", expect_size=\"35566592\"] \n  1 -> 26 [size =\"35566592\"]\n  1 -> 27 [size =\"35566592\"]\n  1 -> 28 [size =\"35566592\"]\n  1 -> 30 [size =\"35566592\"]\n  1 -> 32 [size =\"35566592\"]\n  1 -> 35 [size =\"35566592\"]\n  2 [size=\"81090560\", alpha=\"0.05\", expect_size=\"24327168\"] \n  2 -> 26 [size =\"24327168\"]\n  2 -> 27 [size =\"24327168\"]\n  2 -> 31 [size =\"24327168\"]\n  2 -> 33 [size =\"24327168\"]\n  2 -> 36 [size =\"24327168\"]\n  3 [size=\"131870720\", alpha=\"0.15\", expect_size=\"39561216\"] \n  3 -> 24 [size =\"39561216\"]\n  3 -> 25 [size =\"39561216\"]\n  3 -> 26 [size =\"39561216\"]\n  3 -> 27 [size =\"39561216\"]\n  3 -> 30 [size =\"39561216\"]\n  3 -> 33 [size =\"39561216\"]\n  3 -> 35 [size =\"39561216\"]\n  3 -> 36 [size =\"39561216\"]\n  3 -> 43 [size =\"39561216\"]\n  3 -> 45 [size =\"39561216\"]\n  4 [size=\"115186347\", alpha=\"0.07\", expect_size=\"34555904\"] \n  4 -> 26 [size =\"34555904\"]\n  4 -> 33 [size =\"34555904\"]\n  4 -> 35 [size =\"34555904\"]\n  4 -> 36 [size =\"34555904\"]\n  4 -> 37 [size =\"34555904\"]\n  4 -> 39 [size =\"34555904\"]\n  4 -> 41 [size =\"34555904\"]\n  4 -> 42 [size =\"34555904\"]\n  4 -> 43 [size =\"34555904\"]\n  5 [size=\"76107093\", alpha=\"0.03\", expect_size=\"22832128\"] \n  5 -> 27 [size =\"22832128\"]\n  5 -> 29 [size =\"22832128\"]\n  5 -> 33 [size =\"22832128\"]\n  5 -> 36 [size =\"22832128\"]\n  5 -> 39 [size =\"22832128\"]\n  5 -> 39 [size =\"22832128\"]\n  5 -> 40 [size =\"22832128\"]\n  5 -> 42 [size =\"22832128\"]\n  5 -> 43 [size =\"22832128\"]\n  6 [size=\"94621013\", alpha=\"0.11\", expect_size=\"28386304\"] \n  6 -> 24 [size =\"28386304\"]\n  6 -> 26 [size =\"28386304\"]\n  6 -> 27 [size =\"28386304\"]\n  6 -> 31 [size =\"28386304\"]\n  6 -> 32 [size =\"28386304\"]\n  6 -> 36 [size =\"28386304\"]\n  6 -> 39 [size =\"28386304\"]\n  6 -> 40 [size =\"28386304\"]\n  6 -> 42 [size =\"28386304\"]\n  6 -> 43 [size =\"28386304\"]\n  7 [size=\"87002453\", alpha=\"0.10\", expect_size=\"26100736\"] \n  7 -> 26 [size =\"26100736\"]\n  7 -> 27 [size =\"26100736\"]\n  7 -> 32 [size =\"26100736\"]\n  7 -> 36 [size =\"26100736\"]\n  7 -> 42 [size =\"26100736\"]\n  7 -> 43 [size =\"26100736\"]\n  7 -> 45 [size =\"26100736\"]\n  8 [size=\"92617387\", alpha=\"0.08\", expect_size=\"27785216\"] \n  8 -> 26 [size =\"27785216\"]\n  8 -> 32 [size =\"27785216\"]\n  8 -> 36 [size =\"27785216\"]\n  8 -> 36 [size =\"27785216\"]\n  8 -> 42 [size =\"27785216\"]\n  8 -> 43 [size =\"27785216\"]\n  9 [size=\"127627947\", alpha=\"0.05\", expect_size=\"38288384\"] \n  9 -> 24 [size =\"38288384\"]\n  9 -> 25 [size =\"38288384\"]\n  9 -> 26 [size =\"38288384\"]\n  9 -> 29 [size =\"38288384\"]\n  9 -> 31 [size =\"38288384\"]\n  9 -> 32 [size =\"38288384\"]\n  9 -> 36 [size =\"38288384\"]\n  9 -> 41 [size =\"38288384\"]\n  9 -> 42 [size =\"38288384\"]\n  9 -> 43 [size =\"38288384\"]\n  10 [size=\"167877973\", alpha=\"0.07\", expect_size=\"50363392\"] \n  10 -> 25 [size =\"50363392\"]\n  10 -> 26 [size =\"50363392\"]\n  10 -> 26 [size =\"50363392\"]\n  10 -> 31 [size =\"50363392\"]\n  10 -> 32 [size =\"50363392\"]\n  10 -> 32 [size =\"50363392\"]\n  10 -> 36 [size =\"50363392\"]\n  10 -> 42 [size =\"50363392\"]\n  10 -> 42 [size =\"50363392\"]\n  11 [size=\"90511360\", alpha=\"0.07\", expect_size=\"27153408\"] \n  11 -> 26 [size =\"27153408\"]\n  11 -> 30 [size =\"27153408\"]\n  11 -> 31 [size =\"27153408\"]\n  11 -> 32 [size =\"27153408\"]\n  11 -> 32 [size =\"27153408\"]\n  11 -> 36 [size =\"27153408\"]\n  11 -> 41 [size =\"27153408\"]\n  11 -> 42 [size =\"27153408\"]\n  12 [size=\"48315733\", alpha=\"0.09\", expect_size=\"14494720\"] \n  12 -> 25 [size =\"14494720\"]\n  12 -> 26 [size =\"14494720\"]\n  12 -> 28 [size =\"14494720\"]\n  12 -> 30 [size =\"14494720\"]\n  12 -> 32 [size =\"14494720\"]\n  12 -> 33 [size =\"14494720\"]\n  12 -> 35 [size =\"14494720\"]\n  12 -> 36 [size =\"14494720\"]\n  12 -> 41 [size =\"14494720\"]\n  12 -> 43 [size =\"14494720\"]\n  13 [size=\"86715733\", alpha=\"0.07\", expect_size=\"26014720\"] \n  13 -> 26 [size =\"26014720\"]\n  13 -> 30 [size =\"26014720\"]\n  13 -> 32 [size =\"26014720\"]\n  13 -> 33 [size =\"26014720\"]\n  13 -> 36 [size =\"26014720\"]\n  13 -> 40 [size =\"26014720\"]\n  13 -> 41 [size =\"26014720\"]\n  13 -> 43 [size =\"26014720\"]\n  14 [size=\"44137813\", alpha=\"0.19\", expect_size=\"13241344\"] \n  14 -> 26 [size =\"13241344\"]\n  14 -> 32 [size =\"13241344\"]\n  14 -> 32 [size =\"13241344\"]\n  14 -> 33 [size =\"13241344\"]\n  14 -> 43 [size =\"13241344\"]\n  15 [size=\"95327573\", alpha=\"0.12\", expect_size=\"28598272\"] \n  15 -> 24 [size =\"28598272\"]\n  15 -> 26 [size =\"28598272\"]\n  15 -> 32 [size =\"28598272\"]\n  15 -> 33 [size =\"28598272\"]\n  15 -> 35 [size =\"28598272\"]\n  15 -> 39 [size =\"28598272\"]\n  15 -> 42 [size =\"28598272\"]\n  16 [size=\"122842453\", alpha=\"0.04\", expect_size=\"36852736\"] \n  16 -> 25 [size =\"36852736\"]\n  16 -> 26 [size =\"36852736\"]\n  16 -> 31 [size =\"36852736\"]\n  16 -> 32 [size =\"36852736\"]\n  16 -> 33 [size =\"36852736\"]\n  16 -> 35 [size =\"36852736\"]\n  16 -> 36 [size =\"36852736\"]\n  16 -> 39 [size =\"36852736\"]\n  16 -> 41 [size =\"36852736\"]\n  16 -> 42 [size =\"36852736\"]\n  16 -> 43 [size =\"36852736\"]\n  17 [size=\"51715413\", alpha=\"0.03\", expect_size=\"15514624\"] \n  17 -> 28 [size =\"15514624\"]\n  17 -> 30 [size =\"15514624\"]\n  17 -> 31 [size =\"15514624\"]\n  17 -> 33 [size =\"15514624\"]\n  17 -> 33 [size =\"15514624\"]\n  17 -> 35 [size =\"15514624\"]\n  17 -> 37 [size =\"15514624\"]\n  17 -> 42 [size =\"15514624\"]\n  17 -> 43 [size =\"15514624\"]\n  18 [size=\"128505173\", alpha=\"0.05\", expect_size=\"38551552\"] \n  18 -> 28 [size =\"38551552\"]\n  18 -> 31 [size =\"38551552\"]\n  18 -> 31 [size =\"38551552\"]\n  18 -> 33 [size =\"38551552\"]\n  18 -> 35 [size =\"38551552\"]\n  18 -> 35 [size =\"38551552\"]\n  18 -> 36 [size =\"38551552\"]\n  18 -> 38 [size =\"38551552\"]\n  18 -> 41 [size =\"38551552\"]\n  18 -> 42 [size =\"38551552\"]\n  18 -> 43 [size =\"38551552\"]\n  19 [size=\"35044693\", alpha=\"0.03\", expect_size=\"10513408\"] \n  19 -> 28 [size =\"10513408\"]\n  19 -> 30 [size =\"10513408\"]\n  19 -> 31 [size =\"10513408\"]\n  19 -> 33 [size =\"10513408\"]\n  19 -> 40 [size =\"10513408\"]\n  19 -> 42 [size =\"10513408\"]\n  20 [size=\"74106880\", alpha=\"0.13\", expect_size=\"22232064\"] \n  20 -> 26 [size =\"22232064\"]\n  20 -> 28 [size =\"22232064\"]\n  20 -> 30 [size =\"22232064\"]\n  20 -> 31 [size =\"22232064\"]\n  20 -> 32 [size =\"22232064\"]\n  20 -> 34 [size =\"22232064\"]\n  20 -> 35 [size =\"22232064\"]\n  20 -> 36 [size =\"22232064\"]\n  20 -> 39 [size =\"22232064\"]\n  20 -> 42 [size =\"22232064\"]\n  20 -> 43 [size =\"22232064\"]\n  20 -> 44 [size =\"22232064\"]\n  21 [size=\"132433920\", alpha=\"0.16\", expect_size=\"39730176\"] \n  21 -> 26 [size =\"39730176\"]\n  21 -> 27 [size =\"39730176\"]\n  21 -> 28 [size =\"39730176\"]\n  21 -> 30 [size =\"39730176\"]\n  21 -> 32 [size =\"39730176\"]\n  21 -> 33 [size =\"39730176\"]\n  21 -> 36 [size =\"39730176\"]\n  21 -> 39 [size =\"39730176\"]\n  21 -> 42 [size =\"39730176\"]\n  21 -> 43 [size =\"39730176\"]\n  21 -> 43 [size =\"39730176\"]\n  22 [size=\"28798293\", alpha=\"0.07\", expect_size=\"8639488\"] \n  22 -> 26 [size =\"8639488\"]\n  22 -> 28 [size =\"8639488\"]\n  22 -> 29 [size =\"8639488\"]\n  22 -> 31 [size =\"8639488\"]\n  22 -> 32 [size =\"8639488\"]\n  22 -> 35 [size =\"8639488\"]\n  22 -> 41 [size =\"8639488\"]\n  22 -> 42 [size =\"8639488\"]\n  22 -> 43 [size =\"8639488\"]\n  22 -> 45 [size =\"8639488\"]\n  23 [size=\"101335040\", alpha=\"0.13\", expect_size=\"30400512\"] \n  23 -> 26 [size =\"30400512\"]\n  23 -> 27 [size =\"30400512\"]\n  23 -> 28 [size =\"30400512\"]\n  23 -> 29 [size =\"30400512\"]\n  23 -> 32 [size =\"30400512\"]\n  23 -> 33 [size =\"30400512\"]\n  23 -> 36 [size =\"30400512\"]\n  23 -> 39 [size =\"30400512\"]\n  23 -> 43 [size =\"30400512\"]\n  24 [size=\"154876587\", alpha=\"0.11\", expect_size=\"46462976\"] \n  25 [size=\"145384107\", alpha=\"0.16\", expect_size=\"43615232\"] \n  26 [size=\"79237120\", alpha=\"0.12\", expect_size=\"23771136\"] \n  27 [size=\"111670613\", alpha=\"0.16\", expect_size=\"33501184\"] \n  28 [size=\"135181653\", alpha=\"0.10\", expect_size=\"40554496\"] \n  29 [size=\"171424427\", alpha=\"0.17\", expect_size=\"51427328\"] \n  30 [size=\"38266880\", alpha=\"0.04\", expect_size=\"11480064\"] \n  31 [size=\"142117547\", alpha=\"0.00\", expect_size=\"42635264\"] \n  32 [size=\"112189440\", alpha=\"0.00\", expect_size=\"33656832\"] \n  33 [size=\"169390080\", alpha=\"0.09\", expect_size=\"50817024\"] \n  34 [size=\"113537707\", alpha=\"0.01\", expect_size=\"34061312\"] \n  35 [size=\"42349227\", alpha=\"0.04\", expect_size=\"12704768\"] \n  36 [size=\"171741867\", alpha=\"0.19\", expect_size=\"51522560\"] \n  37 [size=\"107004587\", alpha=\"0.19\", expect_size=\"32101376\"] \n  38 [size=\"74949973\", alpha=\"0.13\", expect_size=\"22484992\"] \n  39 [size=\"150722560\", alpha=\"0.09\", expect_size=\"45216768\"] \n  40 [size=\"129904640\", alpha=\"0.13\", expect_size=\"38971392\"] \n  41 [size=\"162897920\", alpha=\"0.11\", expect_size=\"48869376\"] \n  42 [size=\"165454507\", alpha=\"0.10\", expect_size=\"49636352\"] \n  43 [size=\"168413867\", alpha=\"0.01\", expect_size=\"50524160\"] \n  44 [size=\"83732480\", alpha=\"0.08\", expect_size=\"25119744\"] \n  45 [size=\"95358293\", alpha=\"0.12\", expect_size=\"28607488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71147520\", alpha=\"0.01\", expect_size=\"28459008\"] \n  1 -> 2 [size =\"28459008\"]\n  2 [size=\"14886400\", alpha=\"0.09\", expect_size=\"5954560\"] \n  2 -> 3 [size =\"5954560\"]\n  3 [size=\"84633600\", alpha=\"0.07\", expect_size=\"33853440\"] \n  3 -> 4 [size =\"33853440\"]\n  4 [size=\"111160320\", alpha=\"0.14\", expect_size=\"44464128\"] \n  4 -> 5 [size =\"44464128\"]\n  5 [size=\"66931200\", alpha=\"0.02\", expect_size=\"26772480\"] \n  5 -> 6 [size =\"26772480\"]\n  6 [size=\"18485760\", alpha=\"0.08\", expect_size=\"7394304\"] \n  6 -> 7 [size =\"7394304\"]\n  7 [size=\"127439360\", alpha=\"0.15\", expect_size=\"50975744\"] \n  7 -> 8 [size =\"50975744\"]\n  8 [size=\"130183680\", alpha=\"0.20\", expect_size=\"52073472\"] \n  8 -> 9 [size =\"52073472\"]\n  9 [size=\"54338560\", alpha=\"0.15\", expect_size=\"21735424\"] \n  9 -> 10 [size =\"21735424\"]\n  10 [size=\"125655040\", alpha=\"0.19\", expect_size=\"50262016\"] \n  10 -> 11 [size =\"50262016\"]\n  11 [size=\"70504960\", alpha=\"0.13\", expect_size=\"28201984\"] \n  11 -> 12 [size =\"28201984\"]\n  12 [size=\"78663680\", alpha=\"0.18\", expect_size=\"31465472\"] \n  12 -> 13 [size =\"31465472\"]\n  13 [size=\"130411520\", alpha=\"0.04\", expect_size=\"52164608\"] \n  13 -> 14 [size =\"52164608\"]\n  14 [size=\"51384320\", alpha=\"0.01\", expect_size=\"20553728\"] \n  14 -> 15 [size =\"20553728\"]\n  15 [size=\"14999040\", alpha=\"0.04\", expect_size=\"5999616\"] \n  15 -> 16 [size =\"5999616\"]\n  16 [size=\"29324800\", alpha=\"0.02\", expect_size=\"11729920\"] \n  16 -> 17 [size =\"11729920\"]\n  17 [size=\"75335680\", alpha=\"0.00\", expect_size=\"30134272\"] \n  17 -> 18 [size =\"30134272\"]\n  18 [size=\"48038400\", alpha=\"0.05\", expect_size=\"19215360\"] \n  18 -> 19 [size =\"19215360\"]\n  19 [size=\"46725120\", alpha=\"0.14\", expect_size=\"18690048\"] \n  19 -> 20 [size =\"18690048\"]\n  20 [size=\"18124800\", alpha=\"0.15\", expect_size=\"7249920\"] \n  20 -> 21 [size =\"7249920\"]\n  21 [size=\"127623680\", alpha=\"0.06\", expect_size=\"51049472\"] \n  21 -> 22 [size =\"51049472\"]\n  22 [size=\"87352320\", alpha=\"0.17\", expect_size=\"34940928\"] \n  22 -> 23 [size =\"34940928\"]\n  23 [size=\"75968000\", alpha=\"0.01\", expect_size=\"30387200\"] \n  23 -> 24 [size =\"30387200\"]\n  24 [size=\"99824640\", alpha=\"0.01\", expect_size=\"39929856\"] \n  24 -> 25 [size =\"39929856\"]\n  25 [size=\"105059840\", alpha=\"0.10\", expect_size=\"42023936\"] \n  25 -> 26 [size =\"42023936\"]\n  26 [size=\"129259520\", alpha=\"0.00\", expect_size=\"51703808\"] \n  26 -> 27 [size =\"51703808\"]\n  27 [size=\"24384000\", alpha=\"0.10\", expect_size=\"9753600\"] \n  27 -> 28 [size =\"9753600\"]\n  28 [size=\"25766400\", alpha=\"0.19\", expect_size=\"10306560\"] \n  28 -> 29 [size =\"10306560\"]\n  29 [size=\"55943680\", alpha=\"0.16\", expect_size=\"22377472\"] \n  29 -> 30 [size =\"22377472\"]\n  30 [size=\"18690560\", alpha=\"0.11\", expect_size=\"7476224\"] \n  30 -> 31 [size =\"7476224\"]\n  31 [size=\"106575360\", alpha=\"0.16\", expect_size=\"42630144\"] \n  31 -> 32 [size =\"42630144\"]\n  32 [size=\"23749120\", alpha=\"0.13\", expect_size=\"9499648\"] \n  32 -> 33 [size =\"9499648\"]\n  33 [size=\"125882880\", alpha=\"0.09\", expect_size=\"50353152\"] \n  33 -> 34 [size =\"50353152\"]\n  34 [size=\"130613760\", alpha=\"0.11\", expect_size=\"52245504\"] \n  34 -> 35 [size =\"52245504\"]\n  35 [size=\"18027520\", alpha=\"0.14\", expect_size=\"7211008\"] \n  35 -> 36 [size =\"7211008\"]\n  36 [size=\"77880320\", alpha=\"0.00\", expect_size=\"31152128\"] \n  36 -> 37 [size =\"31152128\"]\n  37 [size=\"79621120\", alpha=\"0.16\", expect_size=\"31848448\"] \n  37 -> 38 [size =\"31848448\"]\n  38 [size=\"19619840\", alpha=\"0.19\", expect_size=\"7847936\"] \n  38 -> 39 [size =\"7847936\"]\n  39 [size=\"14955520\", alpha=\"0.07\", expect_size=\"5982208\"] \n  39 -> 40 [size =\"5982208\"]\n  40 [size=\"106862080\", alpha=\"0.15\", expect_size=\"42744832\"] \n  40 -> 41 [size =\"42744832\"]\n  41 [size=\"53995520\", alpha=\"0.04\", expect_size=\"21598208\"] \n  41 -> 42 [size =\"21598208\"]\n  42 [size=\"31720960\", alpha=\"0.04\", expect_size=\"12688384\"] \n  42 -> 43 [size =\"12688384\"]\n  43 [size=\"105592320\", alpha=\"0.16\", expect_size=\"42236928\"] \n  43 -> 44 [size =\"42236928\"]\n  44 [size=\"39024640\", alpha=\"0.02\", expect_size=\"15609856\"] \n  44 -> 45 [size =\"15609856\"]\n  45 [size=\"106227200\", alpha=\"0.04\", expect_size=\"42490880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54618112\", alpha=\"0.01\", expect_size=\"27309056\"] \n  1 -> 10 [size =\"27309056\"]\n  1 -> 14 [size =\"27309056\"]\n  1 -> 17 [size =\"27309056\"]\n  1 -> 19 [size =\"27309056\"]\n  1 -> 22 [size =\"27309056\"]\n  1 -> 23 [size =\"27309056\"]\n  2 [size=\"97683456\", alpha=\"0.04\", expect_size=\"48841728\"] \n  2 -> 9 [size =\"48841728\"]\n  2 -> 10 [size =\"48841728\"]\n  2 -> 12 [size =\"48841728\"]\n  2 -> 13 [size =\"48841728\"]\n  2 -> 14 [size =\"48841728\"]\n  2 -> 17 [size =\"48841728\"]\n  2 -> 19 [size =\"48841728\"]\n  2 -> 20 [size =\"48841728\"]\n  2 -> 21 [size =\"48841728\"]\n  2 -> 22 [size =\"48841728\"]\n  2 -> 23 [size =\"48841728\"]\n  3 [size=\"35670016\", alpha=\"0.14\", expect_size=\"17835008\"] \n  3 -> 8 [size =\"17835008\"]\n  3 -> 10 [size =\"17835008\"]\n  3 -> 12 [size =\"17835008\"]\n  3 -> 13 [size =\"17835008\"]\n  3 -> 15 [size =\"17835008\"]\n  3 -> 18 [size =\"17835008\"]\n  3 -> 20 [size =\"17835008\"]\n  3 -> 21 [size =\"17835008\"]\n  3 -> 23 [size =\"17835008\"]\n  4 [size=\"13529088\", alpha=\"0.10\", expect_size=\"6764544\"] \n  4 -> 8 [size =\"6764544\"]\n  4 -> 10 [size =\"6764544\"]\n  4 -> 12 [size =\"6764544\"]\n  4 -> 13 [size =\"6764544\"]\n  4 -> 20 [size =\"6764544\"]\n  4 -> 21 [size =\"6764544\"]\n  5 [size=\"95528960\", alpha=\"0.18\", expect_size=\"47764480\"] \n  5 -> 8 [size =\"47764480\"]\n  5 -> 10 [size =\"47764480\"]\n  5 -> 12 [size =\"47764480\"]\n  5 -> 14 [size =\"47764480\"]\n  5 -> 15 [size =\"47764480\"]\n  5 -> 16 [size =\"47764480\"]\n  5 -> 17 [size =\"47764480\"]\n  5 -> 22 [size =\"47764480\"]\n  5 -> 23 [size =\"47764480\"]\n  6 [size=\"28895232\", alpha=\"0.13\", expect_size=\"14447616\"] \n  6 -> 8 [size =\"14447616\"]\n  6 -> 10 [size =\"14447616\"]\n  6 -> 11 [size =\"14447616\"]\n  6 -> 12 [size =\"14447616\"]\n  6 -> 13 [size =\"14447616\"]\n  6 -> 14 [size =\"14447616\"]\n  6 -> 17 [size =\"14447616\"]\n  6 -> 19 [size =\"14447616\"]\n  6 -> 21 [size =\"14447616\"]\n  6 -> 22 [size =\"14447616\"]\n  6 -> 23 [size =\"14447616\"]\n  7 [size=\"85952512\", alpha=\"0.10\", expect_size=\"42976256\"] \n  7 -> 10 [size =\"42976256\"]\n  7 -> 11 [size =\"42976256\"]\n  7 -> 12 [size =\"42976256\"]\n  7 -> 13 [size =\"42976256\"]\n  7 -> 13 [size =\"42976256\"]\n  7 -> 14 [size =\"42976256\"]\n  7 -> 17 [size =\"42976256\"]\n  7 -> 21 [size =\"42976256\"]\n  7 -> 22 [size =\"42976256\"]\n  8 [size=\"88211456\", alpha=\"0.04\", expect_size=\"44105728\"] \n  8 -> 24 [size =\"44105728\"]\n  8 -> 26 [size =\"44105728\"]\n  8 -> 27 [size =\"44105728\"]\n  8 -> 28 [size =\"44105728\"]\n  8 -> 32 [size =\"44105728\"]\n  8 -> 33 [size =\"44105728\"]\n  8 -> 36 [size =\"44105728\"]\n  8 -> 37 [size =\"44105728\"]\n  8 -> 38 [size =\"44105728\"]\n  8 -> 41 [size =\"44105728\"]\n  9 [size=\"21770240\", alpha=\"0.20\", expect_size=\"10885120\"] \n  9 -> 24 [size =\"10885120\"]\n  9 -> 25 [size =\"10885120\"]\n  9 -> 26 [size =\"10885120\"]\n  9 -> 28 [size =\"10885120\"]\n  9 -> 30 [size =\"10885120\"]\n  9 -> 31 [size =\"10885120\"]\n  9 -> 32 [size =\"10885120\"]\n  9 -> 33 [size =\"10885120\"]\n  9 -> 34 [size =\"10885120\"]\n  9 -> 35 [size =\"10885120\"]\n  9 -> 36 [size =\"10885120\"]\n  9 -> 37 [size =\"10885120\"]\n  9 -> 40 [size =\"10885120\"]\n  9 -> 41 [size =\"10885120\"]\n  10 [size=\"27113472\", alpha=\"0.17\", expect_size=\"13556736\"] \n  10 -> 24 [size =\"13556736\"]\n  10 -> 25 [size =\"13556736\"]\n  10 -> 26 [size =\"13556736\"]\n  10 -> 29 [size =\"13556736\"]\n  10 -> 30 [size =\"13556736\"]\n  10 -> 31 [size =\"13556736\"]\n  10 -> 32 [size =\"13556736\"]\n  10 -> 33 [size =\"13556736\"]\n  10 -> 34 [size =\"13556736\"]\n  10 -> 36 [size =\"13556736\"]\n  10 -> 36 [size =\"13556736\"]\n  10 -> 41 [size =\"13556736\"]\n  11 [size=\"98039808\", alpha=\"0.12\", expect_size=\"49019904\"] \n  11 -> 24 [size =\"49019904\"]\n  11 -> 25 [size =\"49019904\"]\n  11 -> 26 [size =\"49019904\"]\n  11 -> 32 [size =\"49019904\"]\n  11 -> 34 [size =\"49019904\"]\n  11 -> 36 [size =\"49019904\"]\n  11 -> 37 [size =\"49019904\"]\n  11 -> 39 [size =\"49019904\"]\n  11 -> 41 [size =\"49019904\"]\n  12 [size=\"104208384\", alpha=\"0.01\", expect_size=\"52104192\"] \n  12 -> 24 [size =\"52104192\"]\n  12 -> 25 [size =\"52104192\"]\n  12 -> 29 [size =\"52104192\"]\n  12 -> 30 [size =\"52104192\"]\n  12 -> 31 [size =\"52104192\"]\n  12 -> 32 [size =\"52104192\"]\n  12 -> 33 [size =\"52104192\"]\n  12 -> 36 [size =\"52104192\"]\n  12 -> 39 [size =\"52104192\"]\n  12 -> 41 [size =\"52104192\"]\n  13 [size=\"30550016\", alpha=\"0.07\", expect_size=\"15275008\"] \n  13 -> 24 [size =\"15275008\"]\n  13 -> 25 [size =\"15275008\"]\n  13 -> 29 [size =\"15275008\"]\n  13 -> 30 [size =\"15275008\"]\n  13 -> 32 [size =\"15275008\"]\n  13 -> 32 [size =\"15275008\"]\n  13 -> 33 [size =\"15275008\"]\n  13 -> 34 [size =\"15275008\"]\n  13 -> 36 [size =\"15275008\"]\n  13 -> 37 [size =\"15275008\"]\n  13 -> 39 [size =\"15275008\"]\n  13 -> 41 [size =\"15275008\"]\n  14 [size=\"97228800\", alpha=\"0.14\", expect_size=\"48614400\"] \n  14 -> 25 [size =\"48614400\"]\n  14 -> 25 [size =\"48614400\"]\n  14 -> 26 [size =\"48614400\"]\n  14 -> 28 [size =\"48614400\"]\n  14 -> 30 [size =\"48614400\"]\n  14 -> 32 [size =\"48614400\"]\n  14 -> 36 [size =\"48614400\"]\n  14 -> 37 [size =\"48614400\"]\n  15 [size=\"48254976\", alpha=\"0.15\", expect_size=\"24127488\"] \n  15 -> 25 [size =\"24127488\"]\n  15 -> 29 [size =\"24127488\"]\n  15 -> 30 [size =\"24127488\"]\n  15 -> 31 [size =\"24127488\"]\n  15 -> 32 [size =\"24127488\"]\n  15 -> 34 [size =\"24127488\"]\n  15 -> 36 [size =\"24127488\"]\n  15 -> 38 [size =\"24127488\"]\n  15 -> 41 [size =\"24127488\"]\n  16 [size=\"39120896\", alpha=\"0.09\", expect_size=\"19560448\"] \n  16 -> 25 [size =\"19560448\"]\n  16 -> 32 [size =\"19560448\"]\n  16 -> 33 [size =\"19560448\"]\n  16 -> 34 [size =\"19560448\"]\n  16 -> 35 [size =\"19560448\"]\n  16 -> 36 [size =\"19560448\"]\n  16 -> 36 [size =\"19560448\"]\n  16 -> 37 [size =\"19560448\"]\n  16 -> 39 [size =\"19560448\"]\n  16 -> 41 [size =\"19560448\"]\n  17 [size=\"101855232\", alpha=\"0.09\", expect_size=\"50927616\"] \n  17 -> 25 [size =\"50927616\"]\n  17 -> 26 [size =\"50927616\"]\n  17 -> 28 [size =\"50927616\"]\n  17 -> 29 [size =\"50927616\"]\n  17 -> 30 [size =\"50927616\"]\n  17 -> 31 [size =\"50927616\"]\n  17 -> 33 [size =\"50927616\"]\n  17 -> 34 [size =\"50927616\"]\n  17 -> 35 [size =\"50927616\"]\n  17 -> 36 [size =\"50927616\"]\n  17 -> 37 [size =\"50927616\"]\n  17 -> 39 [size =\"50927616\"]\n  17 -> 41 [size =\"50927616\"]\n  18 [size=\"55140352\", alpha=\"0.20\", expect_size=\"27570176\"] \n  18 -> 25 [size =\"27570176\"]\n  18 -> 26 [size =\"27570176\"]\n  18 -> 28 [size =\"27570176\"]\n  18 -> 29 [size =\"27570176\"]\n  18 -> 30 [size =\"27570176\"]\n  18 -> 31 [size =\"27570176\"]\n  18 -> 34 [size =\"27570176\"]\n  18 -> 34 [size =\"27570176\"]\n  18 -> 35 [size =\"27570176\"]\n  18 -> 37 [size =\"27570176\"]\n  18 -> 38 [size =\"27570176\"]\n  18 -> 39 [size =\"27570176\"]\n  18 -> 41 [size =\"27570176\"]\n  19 [size=\"75143168\", alpha=\"0.04\", expect_size=\"37571584\"] \n  19 -> 25 [size =\"37571584\"]\n  19 -> 30 [size =\"37571584\"]\n  19 -> 31 [size =\"37571584\"]\n  19 -> 32 [size =\"37571584\"]\n  19 -> 37 [size =\"37571584\"]\n  19 -> 38 [size =\"37571584\"]\n  19 -> 39 [size =\"37571584\"]\n  19 -> 41 [size =\"37571584\"]\n  20 [size=\"73185280\", alpha=\"0.01\", expect_size=\"36592640\"] \n  20 -> 25 [size =\"36592640\"]\n  20 -> 30 [size =\"36592640\"]\n  20 -> 32 [size =\"36592640\"]\n  20 -> 37 [size =\"36592640\"]\n  20 -> 39 [size =\"36592640\"]\n  20 -> 41 [size =\"36592640\"]\n  21 [size=\"57509888\", alpha=\"0.08\", expect_size=\"28754944\"] \n  21 -> 24 [size =\"28754944\"]\n  21 -> 25 [size =\"28754944\"]\n  21 -> 28 [size =\"28754944\"]\n  21 -> 29 [size =\"28754944\"]\n  21 -> 30 [size =\"28754944\"]\n  21 -> 32 [size =\"28754944\"]\n  21 -> 34 [size =\"28754944\"]\n  21 -> 39 [size =\"28754944\"]\n  21 -> 41 [size =\"28754944\"]\n  22 [size=\"21956608\", alpha=\"0.13\", expect_size=\"10978304\"] \n  22 -> 25 [size =\"10978304\"]\n  22 -> 26 [size =\"10978304\"]\n  22 -> 28 [size =\"10978304\"]\n  22 -> 30 [size =\"10978304\"]\n  22 -> 32 [size =\"10978304\"]\n  22 -> 34 [size =\"10978304\"]\n  22 -> 36 [size =\"10978304\"]\n  22 -> 37 [size =\"10978304\"]\n  22 -> 39 [size =\"10978304\"]\n  22 -> 41 [size =\"10978304\"]\n  23 [size=\"28971008\", alpha=\"0.04\", expect_size=\"14485504\"] \n  23 -> 26 [size =\"14485504\"]\n  23 -> 26 [size =\"14485504\"]\n  23 -> 29 [size =\"14485504\"]\n  23 -> 32 [size =\"14485504\"]\n  23 -> 34 [size =\"14485504\"]\n  23 -> 36 [size =\"14485504\"]\n  23 -> 39 [size =\"14485504\"]\n  23 -> 41 [size =\"14485504\"]\n  24 [size=\"61540352\", alpha=\"0.15\", expect_size=\"30770176\"] \n  24 -> 44 [size =\"30770176\"]\n  25 [size=\"31950848\", alpha=\"0.05\", expect_size=\"15975424\"] \n  26 [size=\"101437440\", alpha=\"0.18\", expect_size=\"50718720\"] \n  26 -> 43 [size =\"50718720\"]\n  27 [size=\"51441664\", alpha=\"0.07\", expect_size=\"25720832\"] \n  27 -> 43 [size =\"25720832\"]\n  27 -> 45 [size =\"25720832\"]\n  28 [size=\"92489728\", alpha=\"0.13\", expect_size=\"46244864\"] \n  28 -> 44 [size =\"46244864\"]\n  28 -> 45 [size =\"46244864\"]\n  29 [size=\"90306560\", alpha=\"0.01\", expect_size=\"45153280\"] \n  29 -> 42 [size =\"45153280\"]\n  29 -> 44 [size =\"45153280\"]\n  29 -> 45 [size =\"45153280\"]\n  30 [size=\"13953024\", alpha=\"0.13\", expect_size=\"6976512\"] \n  30 -> 42 [size =\"6976512\"]\n  30 -> 44 [size =\"6976512\"]\n  30 -> 45 [size =\"6976512\"]\n  31 [size=\"20113408\", alpha=\"0.03\", expect_size=\"10056704\"] \n  31 -> 45 [size =\"10056704\"]\n  32 [size=\"58550272\", alpha=\"0.13\", expect_size=\"29275136\"] \n  32 -> 42 [size =\"29275136\"]\n  32 -> 44 [size =\"29275136\"]\n  32 -> 45 [size =\"29275136\"]\n  33 [size=\"27717632\", alpha=\"0.07\", expect_size=\"13858816\"] \n  33 -> 42 [size =\"13858816\"]\n  33 -> 44 [size =\"13858816\"]\n  33 -> 45 [size =\"13858816\"]\n  34 [size=\"47171584\", alpha=\"0.20\", expect_size=\"23585792\"] \n  34 -> 42 [size =\"23585792\"]\n  34 -> 44 [size =\"23585792\"]\n  34 -> 45 [size =\"23585792\"]\n  35 [size=\"25587712\", alpha=\"0.00\", expect_size=\"12793856\"] \n  35 -> 42 [size =\"12793856\"]\n  35 -> 43 [size =\"12793856\"]\n  35 -> 44 [size =\"12793856\"]\n  36 [size=\"48007168\", alpha=\"0.07\", expect_size=\"24003584\"] \n  36 -> 42 [size =\"24003584\"]\n  36 -> 44 [size =\"24003584\"]\n  36 -> 44 [size =\"24003584\"]\n  36 -> 45 [size =\"24003584\"]\n  37 [size=\"38467584\", alpha=\"0.13\", expect_size=\"19233792\"] \n  37 -> 42 [size =\"19233792\"]\n  37 -> 44 [size =\"19233792\"]\n  38 [size=\"72437760\", alpha=\"0.09\", expect_size=\"36218880\"] \n  38 -> 42 [size =\"36218880\"]\n  38 -> 43 [size =\"36218880\"]\n  38 -> 44 [size =\"36218880\"]\n  38 -> 45 [size =\"36218880\"]\n  39 [size=\"38899712\", alpha=\"0.18\", expect_size=\"19449856\"] \n  39 -> 44 [size =\"19449856\"]\n  39 -> 45 [size =\"19449856\"]\n  40 [size=\"43509760\", alpha=\"0.01\", expect_size=\"21754880\"] \n  40 -> 44 [size =\"21754880\"]\n  40 -> 45 [size =\"21754880\"]\n  41 [size=\"102897664\", alpha=\"0.13\", expect_size=\"51448832\"] \n  41 -> 45 [size =\"51448832\"]\n  42 [size=\"21504000\", alpha=\"0.08\", expect_size=\"10752000\"] \n  43 [size=\"81795072\", alpha=\"0.07\", expect_size=\"40897536\"] \n  44 [size=\"20721664\", alpha=\"0.17\", expect_size=\"10360832\"] \n  45 [size=\"19400704\", alpha=\"0.11\", expect_size=\"9700352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90685440\", alpha=\"0.19\", expect_size=\"36274176\"] \n  1 -> 22 [size =\"36274176\"]\n  1 -> 33 [size =\"36274176\"]\n  2 [size=\"19635200\", alpha=\"0.04\", expect_size=\"7854080\"] \n  2 -> 23 [size =\"7854080\"]\n  2 -> 25 [size =\"7854080\"]\n  2 -> 33 [size =\"7854080\"]\n  2 -> 34 [size =\"7854080\"]\n  3 [size=\"53475840\", alpha=\"0.04\", expect_size=\"21390336\"] \n  3 -> 23 [size =\"21390336\"]\n  3 -> 24 [size =\"21390336\"]\n  3 -> 25 [size =\"21390336\"]\n  3 -> 26 [size =\"21390336\"]\n  3 -> 30 [size =\"21390336\"]\n  3 -> 32 [size =\"21390336\"]\n  4 [size=\"115868160\", alpha=\"0.03\", expect_size=\"46347264\"] \n  4 -> 23 [size =\"46347264\"]\n  4 -> 24 [size =\"46347264\"]\n  4 -> 26 [size =\"46347264\"]\n  4 -> 28 [size =\"46347264\"]\n  4 -> 30 [size =\"46347264\"]\n  4 -> 34 [size =\"46347264\"]\n  4 -> 35 [size =\"46347264\"]\n  4 -> 36 [size =\"46347264\"]\n  5 [size=\"59566080\", alpha=\"0.05\", expect_size=\"23826432\"] \n  5 -> 22 [size =\"23826432\"]\n  5 -> 23 [size =\"23826432\"]\n  5 -> 28 [size =\"23826432\"]\n  5 -> 31 [size =\"23826432\"]\n  5 -> 32 [size =\"23826432\"]\n  5 -> 35 [size =\"23826432\"]\n  5 -> 35 [size =\"23826432\"]\n  5 -> 36 [size =\"23826432\"]\n  6 [size=\"105753600\", alpha=\"0.12\", expect_size=\"42301440\"] \n  6 -> 22 [size =\"42301440\"]\n  6 -> 23 [size =\"42301440\"]\n  6 -> 25 [size =\"42301440\"]\n  6 -> 26 [size =\"42301440\"]\n  6 -> 28 [size =\"42301440\"]\n  6 -> 31 [size =\"42301440\"]\n  7 [size=\"127956480\", alpha=\"0.00\", expect_size=\"51182592\"] \n  7 -> 22 [size =\"51182592\"]\n  7 -> 23 [size =\"51182592\"]\n  7 -> 28 [size =\"51182592\"]\n  7 -> 31 [size =\"51182592\"]\n  8 [size=\"53086720\", alpha=\"0.03\", expect_size=\"21234688\"] \n  8 -> 25 [size =\"21234688\"]\n  8 -> 26 [size =\"21234688\"]\n  8 -> 30 [size =\"21234688\"]\n  9 [size=\"110812160\", alpha=\"0.02\", expect_size=\"44324864\"] \n  9 -> 29 [size =\"44324864\"]\n  9 -> 30 [size =\"44324864\"]\n  10 [size=\"97768960\", alpha=\"0.03\", expect_size=\"39107584\"] \n  10 -> 23 [size =\"39107584\"]\n  10 -> 24 [size =\"39107584\"]\n  10 -> 26 [size =\"39107584\"]\n  10 -> 30 [size =\"39107584\"]\n  11 [size=\"58406400\", alpha=\"0.17\", expect_size=\"23362560\"] \n  11 -> 24 [size =\"23362560\"]\n  11 -> 25 [size =\"23362560\"]\n  11 -> 27 [size =\"23362560\"]\n  11 -> 30 [size =\"23362560\"]\n  12 [size=\"49920000\", alpha=\"0.02\", expect_size=\"19968000\"] \n  12 -> 23 [size =\"19968000\"]\n  12 -> 24 [size =\"19968000\"]\n  12 -> 28 [size =\"19968000\"]\n  12 -> 30 [size =\"19968000\"]\n  13 [size=\"75955200\", alpha=\"0.12\", expect_size=\"30382080\"] \n  13 -> 28 [size =\"30382080\"]\n  13 -> 30 [size =\"30382080\"]\n  13 -> 35 [size =\"30382080\"]\n  14 [size=\"98465280\", alpha=\"0.20\", expect_size=\"39386112\"] \n  14 -> 26 [size =\"39386112\"]\n  14 -> 27 [size =\"39386112\"]\n  14 -> 28 [size =\"39386112\"]\n  14 -> 30 [size =\"39386112\"]\n  14 -> 36 [size =\"39386112\"]\n  15 [size=\"118049280\", alpha=\"0.18\", expect_size=\"47219712\"] \n  15 -> 26 [size =\"47219712\"]\n  15 -> 27 [size =\"47219712\"]\n  15 -> 28 [size =\"47219712\"]\n  15 -> 30 [size =\"47219712\"]\n  15 -> 32 [size =\"47219712\"]\n  16 [size=\"29335040\", alpha=\"0.11\", expect_size=\"11734016\"] \n  16 -> 23 [size =\"11734016\"]\n  16 -> 28 [size =\"11734016\"]\n  16 -> 31 [size =\"11734016\"]\n  17 [size=\"99125760\", alpha=\"0.05\", expect_size=\"39650304\"] \n  17 -> 22 [size =\"39650304\"]\n  17 -> 27 [size =\"39650304\"]\n  17 -> 28 [size =\"39650304\"]\n  17 -> 31 [size =\"39650304\"]\n  17 -> 35 [size =\"39650304\"]\n  17 -> 36 [size =\"39650304\"]\n  18 [size=\"99758080\", alpha=\"0.01\", expect_size=\"39903232\"] \n  18 -> 22 [size =\"39903232\"]\n  18 -> 28 [size =\"39903232\"]\n  18 -> 34 [size =\"39903232\"]\n  18 -> 36 [size =\"39903232\"]\n  19 [size=\"119618560\", alpha=\"0.03\", expect_size=\"47847424\"] \n  19 -> 22 [size =\"47847424\"]\n  19 -> 24 [size =\"47847424\"]\n  19 -> 25 [size =\"47847424\"]\n  20 [size=\"16074240\", alpha=\"0.10\", expect_size=\"6429696\"] \n  20 -> 22 [size =\"6429696\"]\n  20 -> 25 [size =\"6429696\"]\n  20 -> 27 [size =\"6429696\"]\n  20 -> 35 [size =\"6429696\"]\n  21 [size=\"32317440\", alpha=\"0.10\", expect_size=\"12926976\"] \n  21 -> 22 [size =\"12926976\"]\n  21 -> 23 [size =\"12926976\"]\n  21 -> 27 [size =\"12926976\"]\n  21 -> 31 [size =\"12926976\"]\n  21 -> 35 [size =\"12926976\"]\n  22 [size=\"17361920\", alpha=\"0.11\", expect_size=\"6944768\"] \n  22 -> 38 [size =\"6944768\"]\n  22 -> 39 [size =\"6944768\"]\n  22 -> 40 [size =\"6944768\"]\n  22 -> 43 [size =\"6944768\"]\n  23 [size=\"29468160\", alpha=\"0.19\", expect_size=\"11787264\"] \n  23 -> 37 [size =\"11787264\"]\n  23 -> 38 [size =\"11787264\"]\n  23 -> 39 [size =\"11787264\"]\n  23 -> 41 [size =\"11787264\"]\n  24 [size=\"101015040\", alpha=\"0.05\", expect_size=\"40406016\"] \n  24 -> 37 [size =\"40406016\"]\n  24 -> 40 [size =\"40406016\"]\n  24 -> 42 [size =\"40406016\"]\n  25 [size=\"99031040\", alpha=\"0.18\", expect_size=\"39612416\"] \n  25 -> 43 [size =\"39612416\"]\n  26 [size=\"87226880\", alpha=\"0.07\", expect_size=\"34890752\"] \n  26 -> 37 [size =\"34890752\"]\n  26 -> 39 [size =\"34890752\"]\n  27 [size=\"35261440\", alpha=\"0.16\", expect_size=\"14104576\"] \n  27 -> 37 [size =\"14104576\"]\n  27 -> 38 [size =\"14104576\"]\n  27 -> 40 [size =\"14104576\"]\n  27 -> 41 [size =\"14104576\"]\n  27 -> 43 [size =\"14104576\"]\n  28 [size=\"65162240\", alpha=\"0.11\", expect_size=\"26064896\"] \n  28 -> 38 [size =\"26064896\"]\n  28 -> 40 [size =\"26064896\"]\n  28 -> 42 [size =\"26064896\"]\n  28 -> 43 [size =\"26064896\"]\n  28 -> 45 [size =\"26064896\"]\n  29 [size=\"68869120\", alpha=\"0.03\", expect_size=\"27547648\"] \n  29 -> 39 [size =\"27547648\"]\n  29 -> 42 [size =\"27547648\"]\n  29 -> 43 [size =\"27547648\"]\n  29 -> 43 [size =\"27547648\"]\n  29 -> 44 [size =\"27547648\"]\n  29 -> 45 [size =\"27547648\"]\n  30 [size=\"87324160\", alpha=\"0.09\", expect_size=\"34929664\"] \n  31 [size=\"28810240\", alpha=\"0.03\", expect_size=\"11524096\"] \n  32 [size=\"88870400\", alpha=\"0.03\", expect_size=\"35548160\"] \n  32 -> 37 [size =\"35548160\"]\n  32 -> 42 [size =\"35548160\"]\n  33 [size=\"38105600\", alpha=\"0.14\", expect_size=\"15242240\"] \n  33 -> 37 [size =\"15242240\"]\n  33 -> 38 [size =\"15242240\"]\n  33 -> 39 [size =\"15242240\"]\n  33 -> 42 [size =\"15242240\"]\n  34 [size=\"34844160\", alpha=\"0.19\", expect_size=\"13937664\"] \n  34 -> 41 [size =\"13937664\"]\n  34 -> 42 [size =\"13937664\"]\n  35 [size=\"63889920\", alpha=\"0.03\", expect_size=\"25555968\"] \n  35 -> 38 [size =\"25555968\"]\n  35 -> 39 [size =\"25555968\"]\n  35 -> 42 [size =\"25555968\"]\n  36 [size=\"53736960\", alpha=\"0.08\", expect_size=\"21494784\"] \n  36 -> 38 [size =\"21494784\"]\n  36 -> 39 [size =\"21494784\"]\n  37 [size=\"97034240\", alpha=\"0.09\", expect_size=\"38813696\"] \n  38 [size=\"72701440\", alpha=\"0.04\", expect_size=\"29080576\"] \n  39 [size=\"20723200\", alpha=\"0.17\", expect_size=\"8289280\"] \n  40 [size=\"38801920\", alpha=\"0.11\", expect_size=\"15520768\"] \n  41 [size=\"93637120\", alpha=\"0.08\", expect_size=\"37454848\"] \n  42 [size=\"112563200\", alpha=\"0.05\", expect_size=\"45025280\"] \n  43 [size=\"14428160\", alpha=\"0.06\", expect_size=\"5771264\"] \n  44 [size=\"98014720\", alpha=\"0.01\", expect_size=\"39205888\"] \n  45 [size=\"94781440\", alpha=\"0.11\", expect_size=\"37912576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124613120\", alpha=\"0.09\", expect_size=\"49845248\"] \n  1 -> 2 [size =\"49845248\"]\n  2 [size=\"17274880\", alpha=\"0.09\", expect_size=\"6909952\"] \n  2 -> 3 [size =\"6909952\"]\n  3 [size=\"122583040\", alpha=\"0.04\", expect_size=\"49033216\"] \n  3 -> 4 [size =\"49033216\"]\n  4 [size=\"31032320\", alpha=\"0.00\", expect_size=\"12412928\"] \n  4 -> 5 [size =\"12412928\"]\n  5 [size=\"87879680\", alpha=\"0.07\", expect_size=\"35151872\"] \n  5 -> 6 [size =\"35151872\"]\n  6 [size=\"13137920\", alpha=\"0.19\", expect_size=\"5255168\"] \n  6 -> 7 [size =\"5255168\"]\n  7 [size=\"114344960\", alpha=\"0.19\", expect_size=\"45737984\"] \n  7 -> 8 [size =\"45737984\"]\n  8 [size=\"19952640\", alpha=\"0.05\", expect_size=\"7981056\"] \n  8 -> 9 [size =\"7981056\"]\n  9 [size=\"46056960\", alpha=\"0.09\", expect_size=\"18422784\"] \n  9 -> 10 [size =\"18422784\"]\n  10 [size=\"47951360\", alpha=\"0.03\", expect_size=\"19180544\"] \n  10 -> 11 [size =\"19180544\"]\n  11 [size=\"67143680\", alpha=\"0.06\", expect_size=\"26857472\"] \n  11 -> 12 [size =\"26857472\"]\n  12 [size=\"119055360\", alpha=\"0.15\", expect_size=\"47622144\"] \n  12 -> 13 [size =\"47622144\"]\n  13 [size=\"57059840\", alpha=\"0.09\", expect_size=\"22823936\"] \n  13 -> 14 [size =\"22823936\"]\n  14 [size=\"80478720\", alpha=\"0.03\", expect_size=\"32191488\"] \n  14 -> 15 [size =\"32191488\"]\n  15 [size=\"80860160\", alpha=\"0.10\", expect_size=\"32344064\"] \n  15 -> 16 [size =\"32344064\"]\n  16 [size=\"120345600\", alpha=\"0.01\", expect_size=\"48138240\"] \n  16 -> 17 [size =\"48138240\"]\n  17 [size=\"113822720\", alpha=\"0.07\", expect_size=\"45529088\"] \n  17 -> 18 [size =\"45529088\"]\n  18 [size=\"108216320\", alpha=\"0.01\", expect_size=\"43286528\"] \n  18 -> 19 [size =\"43286528\"]\n  19 [size=\"20305920\", alpha=\"0.06\", expect_size=\"8122368\"] \n  19 -> 20 [size =\"8122368\"]\n  20 [size=\"73894400\", alpha=\"0.12\", expect_size=\"29557760\"] \n  20 -> 21 [size =\"29557760\"]\n  21 [size=\"94287360\", alpha=\"0.18\", expect_size=\"37714944\"] \n  21 -> 22 [size =\"37714944\"]\n  22 [size=\"130078720\", alpha=\"0.04\", expect_size=\"52031488\"] \n  22 -> 23 [size =\"52031488\"]\n  23 [size=\"99102720\", alpha=\"0.09\", expect_size=\"39641088\"] \n  23 -> 24 [size =\"39641088\"]\n  24 [size=\"35512320\", alpha=\"0.17\", expect_size=\"14204928\"] \n  24 -> 25 [size =\"14204928\"]\n  25 [size=\"55321600\", alpha=\"0.17\", expect_size=\"22128640\"] \n  25 -> 26 [size =\"22128640\"]\n  26 [size=\"114373120\", alpha=\"0.18\", expect_size=\"45749248\"] \n  26 -> 27 [size =\"45749248\"]\n  27 [size=\"122785280\", alpha=\"0.15\", expect_size=\"49114112\"] \n  27 -> 28 [size =\"49114112\"]\n  28 [size=\"45498880\", alpha=\"0.14\", expect_size=\"18199552\"] \n  28 -> 29 [size =\"18199552\"]\n  29 [size=\"52316160\", alpha=\"0.19\", expect_size=\"20926464\"] \n  29 -> 30 [size =\"20926464\"]\n  30 [size=\"85230080\", alpha=\"0.09\", expect_size=\"34092032\"] \n  30 -> 31 [size =\"34092032\"]\n  31 [size=\"39365120\", alpha=\"0.09\", expect_size=\"15746048\"] \n  31 -> 32 [size =\"15746048\"]\n  32 [size=\"26229760\", alpha=\"0.06\", expect_size=\"10491904\"] \n  32 -> 33 [size =\"10491904\"]\n  33 [size=\"49991680\", alpha=\"0.11\", expect_size=\"19996672\"] \n  33 -> 34 [size =\"19996672\"]\n  34 [size=\"102164480\", alpha=\"0.07\", expect_size=\"40865792\"] \n  34 -> 35 [size =\"40865792\"]\n  35 [size=\"82711040\", alpha=\"0.15\", expect_size=\"33084416\"] \n  35 -> 36 [size =\"33084416\"]\n  36 [size=\"66403840\", alpha=\"0.01\", expect_size=\"26561536\"] \n  36 -> 37 [size =\"26561536\"]\n  37 [size=\"53278720\", alpha=\"0.04\", expect_size=\"21311488\"] \n  37 -> 38 [size =\"21311488\"]\n  38 [size=\"26606080\", alpha=\"0.04\", expect_size=\"10642432\"] \n  38 -> 39 [size =\"10642432\"]\n  39 [size=\"111201280\", alpha=\"0.04\", expect_size=\"44480512\"] \n  39 -> 40 [size =\"44480512\"]\n  40 [size=\"104084480\", alpha=\"0.15\", expect_size=\"41633792\"] \n  40 -> 41 [size =\"41633792\"]\n  41 [size=\"40102400\", alpha=\"0.19\", expect_size=\"16040960\"] \n  41 -> 42 [size =\"16040960\"]\n  42 [size=\"91258880\", alpha=\"0.04\", expect_size=\"36503552\"] \n  42 -> 43 [size =\"36503552\"]\n  43 [size=\"127569920\", alpha=\"0.03\", expect_size=\"51027968\"] \n  43 -> 44 [size =\"51027968\"]\n  44 [size=\"75023360\", alpha=\"0.05\", expect_size=\"30009344\"] \n  44 -> 45 [size =\"30009344\"]\n  45 [size=\"118963200\", alpha=\"0.15\", expect_size=\"47585280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37567147\", alpha=\"0.06\", expect_size=\"11270144\"] \n  1 -> 2 [size =\"11270144\"]\n  2 [size=\"55982080\", alpha=\"0.04\", expect_size=\"16794624\"] \n  2 -> 3 [size =\"16794624\"]\n  3 [size=\"140240213\", alpha=\"0.06\", expect_size=\"42072064\"] \n  3 -> 4 [size =\"42072064\"]\n  4 [size=\"134594560\", alpha=\"0.11\", expect_size=\"40378368\"] \n  4 -> 5 [size =\"40378368\"]\n  5 [size=\"40055467\", alpha=\"0.01\", expect_size=\"12016640\"] \n  5 -> 6 [size =\"12016640\"]\n  6 [size=\"117282133\", alpha=\"0.11\", expect_size=\"35184640\"] \n  6 -> 7 [size =\"35184640\"]\n  7 [size=\"87057067\", alpha=\"0.12\", expect_size=\"26117120\"] \n  7 -> 8 [size =\"26117120\"]\n  8 [size=\"168314880\", alpha=\"0.13\", expect_size=\"50494464\"] \n  8 -> 9 [size =\"50494464\"]\n  9 [size=\"30945280\", alpha=\"0.15\", expect_size=\"9283584\"] \n  9 -> 10 [size =\"9283584\"]\n  10 [size=\"99887787\", alpha=\"0.04\", expect_size=\"29966336\"] \n  10 -> 11 [size =\"29966336\"]\n  11 [size=\"129116160\", alpha=\"0.09\", expect_size=\"38734848\"] \n  11 -> 12 [size =\"38734848\"]\n  12 [size=\"22637227\", alpha=\"0.18\", expect_size=\"6791168\"] \n  12 -> 13 [size =\"6791168\"]\n  13 [size=\"50432000\", alpha=\"0.15\", expect_size=\"15129600\"] \n  13 -> 14 [size =\"15129600\"]\n  14 [size=\"97761280\", alpha=\"0.20\", expect_size=\"29328384\"] \n  14 -> 15 [size =\"29328384\"]\n  15 [size=\"28119040\", alpha=\"0.05\", expect_size=\"8435712\"] \n  15 -> 16 [size =\"8435712\"]\n  16 [size=\"38348800\", alpha=\"0.00\", expect_size=\"11504640\"] \n  16 -> 17 [size =\"11504640\"]\n  17 [size=\"127365120\", alpha=\"0.16\", expect_size=\"38209536\"] \n  17 -> 18 [size =\"38209536\"]\n  18 [size=\"64808960\", alpha=\"0.15\", expect_size=\"19442688\"] \n  18 -> 19 [size =\"19442688\"]\n  19 [size=\"167376213\", alpha=\"0.03\", expect_size=\"50212864\"] \n  19 -> 20 [size =\"50212864\"]\n  20 [size=\"130406400\", alpha=\"0.16\", expect_size=\"39121920\"] \n  20 -> 21 [size =\"39121920\"]\n  21 [size=\"161126400\", alpha=\"0.12\", expect_size=\"48337920\"] \n  21 -> 22 [size =\"48337920\"]\n  22 [size=\"74953387\", alpha=\"0.13\", expect_size=\"22486016\"] \n  22 -> 23 [size =\"22486016\"]\n  23 [size=\"58193920\", alpha=\"0.10\", expect_size=\"17458176\"] \n  23 -> 24 [size =\"17458176\"]\n  24 [size=\"172492800\", alpha=\"0.01\", expect_size=\"51747840\"] \n  24 -> 25 [size =\"51747840\"]\n  25 [size=\"171827200\", alpha=\"0.15\", expect_size=\"51548160\"] \n  25 -> 26 [size =\"51548160\"]\n  26 [size=\"57620480\", alpha=\"0.03\", expect_size=\"17286144\"] \n  26 -> 27 [size =\"17286144\"]\n  27 [size=\"59753813\", alpha=\"0.18\", expect_size=\"17926144\"] \n  27 -> 28 [size =\"17926144\"]\n  28 [size=\"25743360\", alpha=\"0.13\", expect_size=\"7723008\"] \n  28 -> 29 [size =\"7723008\"]\n  29 [size=\"145558187\", alpha=\"0.10\", expect_size=\"43667456\"] \n  29 -> 30 [size =\"43667456\"]\n  30 [size=\"165399893\", alpha=\"0.18\", expect_size=\"49619968\"] \n  30 -> 31 [size =\"49619968\"]\n  31 [size=\"134277120\", alpha=\"0.19\", expect_size=\"40283136\"] \n  31 -> 32 [size =\"40283136\"]\n  32 [size=\"72284160\", alpha=\"0.01\", expect_size=\"21685248\"] \n  32 -> 33 [size =\"21685248\"]\n  33 [size=\"17926827\", alpha=\"0.07\", expect_size=\"5378048\"] \n  33 -> 34 [size =\"5378048\"]\n  34 [size=\"93972480\", alpha=\"0.04\", expect_size=\"28191744\"] \n  34 -> 35 [size =\"28191744\"]\n  35 [size=\"102966613\", alpha=\"0.02\", expect_size=\"30889984\"] \n  35 -> 36 [size =\"30889984\"]\n  36 [size=\"67488427\", alpha=\"0.02\", expect_size=\"20246528\"] \n  36 -> 37 [size =\"20246528\"]\n  37 [size=\"87343787\", alpha=\"0.17\", expect_size=\"26203136\"] \n  37 -> 38 [size =\"26203136\"]\n  38 [size=\"74830507\", alpha=\"0.17\", expect_size=\"22449152\"] \n  38 -> 39 [size =\"22449152\"]\n  39 [size=\"23504213\", alpha=\"0.17\", expect_size=\"7051264\"] \n  39 -> 40 [size =\"7051264\"]\n  40 [size=\"104116907\", alpha=\"0.11\", expect_size=\"31235072\"] \n  40 -> 41 [size =\"31235072\"]\n  41 [size=\"84514133\", alpha=\"0.03\", expect_size=\"25354240\"] \n  41 -> 42 [size =\"25354240\"]\n  42 [size=\"76335787\", alpha=\"0.02\", expect_size=\"22900736\"] \n  42 -> 43 [size =\"22900736\"]\n  43 [size=\"84746240\", alpha=\"0.07\", expect_size=\"25423872\"] \n  43 -> 44 [size =\"25423872\"]\n  44 [size=\"142704640\", alpha=\"0.12\", expect_size=\"42811392\"] \n  44 -> 45 [size =\"42811392\"]\n  45 [size=\"173206187\", alpha=\"0.16\", expect_size=\"51961856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53087573\", alpha=\"0.05\", expect_size=\"15926272\"] \n  1 -> 11 [size =\"15926272\"]\n  2 [size=\"35304107\", alpha=\"0.06\", expect_size=\"10591232\"] \n  3 [size=\"133539840\", alpha=\"0.13\", expect_size=\"40061952\"] \n  3 -> 10 [size =\"40061952\"]\n  4 [size=\"105878187\", alpha=\"0.13\", expect_size=\"31763456\"] \n  4 -> 9 [size =\"31763456\"]\n  4 -> 10 [size =\"31763456\"]\n  5 [size=\"94576640\", alpha=\"0.14\", expect_size=\"28372992\"] \n  5 -> 7 [size =\"28372992\"]\n  5 -> 8 [size =\"28372992\"]\n  5 -> 12 [size =\"28372992\"]\n  6 [size=\"156405760\", alpha=\"0.16\", expect_size=\"46921728\"] \n  6 -> 7 [size =\"46921728\"]\n  6 -> 11 [size =\"46921728\"]\n  7 [size=\"78250667\", alpha=\"0.02\", expect_size=\"23475200\"] \n  7 -> 15 [size =\"23475200\"]\n  8 [size=\"124067840\", alpha=\"0.15\", expect_size=\"37220352\"] \n  9 [size=\"151029760\", alpha=\"0.16\", expect_size=\"45308928\"] \n  9 -> 13 [size =\"45308928\"]\n  9 -> 14 [size =\"45308928\"]\n  9 -> 16 [size =\"45308928\"]\n  9 -> 17 [size =\"45308928\"]\n  10 [size=\"90535253\", alpha=\"0.00\", expect_size=\"27160576\"] \n  11 [size=\"135413760\", alpha=\"0.07\", expect_size=\"40624128\"] \n  11 -> 17 [size =\"40624128\"]\n  12 [size=\"173755733\", alpha=\"0.13\", expect_size=\"52126720\"] \n  12 -> 16 [size =\"52126720\"]\n  13 [size=\"62528853\", alpha=\"0.13\", expect_size=\"18758656\"] \n  14 [size=\"162816000\", alpha=\"0.06\", expect_size=\"48844800\"] \n  14 -> 19 [size =\"48844800\"]\n  15 [size=\"110987947\", alpha=\"0.07\", expect_size=\"33296384\"] \n  15 -> 18 [size =\"33296384\"]\n  15 -> 19 [size =\"33296384\"]\n  15 -> 21 [size =\"33296384\"]\n  16 [size=\"62863360\", alpha=\"0.11\", expect_size=\"18859008\"] \n  16 -> 18 [size =\"18859008\"]\n  16 -> 20 [size =\"18859008\"]\n  16 -> 21 [size =\"18859008\"]\n  16 -> 22 [size =\"18859008\"]\n  17 [size=\"31914667\", alpha=\"0.04\", expect_size=\"9574400\"] \n  18 [size=\"47616000\", alpha=\"0.12\", expect_size=\"14284800\"] \n  18 -> 24 [size =\"14284800\"]\n  18 -> 25 [size =\"14284800\"]\n  19 [size=\"163758080\", alpha=\"0.03\", expect_size=\"49127424\"] \n  19 -> 24 [size =\"49127424\"]\n  19 -> 26 [size =\"49127424\"]\n  20 [size=\"133853867\", alpha=\"0.18\", expect_size=\"40156160\"] \n  20 -> 23 [size =\"40156160\"]\n  20 -> 27 [size =\"40156160\"]\n  21 [size=\"134396587\", alpha=\"0.18\", expect_size=\"40318976\"] \n  21 -> 25 [size =\"40318976\"]\n  21 -> 27 [size =\"40318976\"]\n  22 [size=\"28416000\", alpha=\"0.01\", expect_size=\"8524800\"] \n  22 -> 24 [size =\"8524800\"]\n  22 -> 25 [size =\"8524800\"]\n  22 -> 27 [size =\"8524800\"]\n  23 [size=\"133457920\", alpha=\"0.18\", expect_size=\"40037376\"] \n  23 -> 30 [size =\"40037376\"]\n  23 -> 31 [size =\"40037376\"]\n  24 [size=\"79510187\", alpha=\"0.06\", expect_size=\"23853056\"] \n  24 -> 28 [size =\"23853056\"]\n  25 [size=\"130000213\", alpha=\"0.04\", expect_size=\"39000064\"] \n  25 -> 28 [size =\"39000064\"]\n  25 -> 30 [size =\"39000064\"]\n  25 -> 31 [size =\"39000064\"]\n  25 -> 32 [size =\"39000064\"]\n  26 [size=\"25402027\", alpha=\"0.00\", expect_size=\"7620608\"] \n  26 -> 30 [size =\"7620608\"]\n  26 -> 31 [size =\"7620608\"]\n  26 -> 33 [size =\"7620608\"]\n  27 [size=\"108953600\", alpha=\"0.04\", expect_size=\"32686080\"] \n  27 -> 29 [size =\"32686080\"]\n  28 [size=\"140731733\", alpha=\"0.01\", expect_size=\"42219520\"] \n  28 -> 38 [size =\"42219520\"]\n  29 [size=\"74478933\", alpha=\"0.15\", expect_size=\"22343680\"] \n  29 -> 34 [size =\"22343680\"]\n  30 [size=\"94409387\", alpha=\"0.18\", expect_size=\"28322816\"] \n  30 -> 34 [size =\"28322816\"]\n  30 -> 37 [size =\"28322816\"]\n  30 -> 38 [size =\"28322816\"]\n  31 [size=\"79465813\", alpha=\"0.17\", expect_size=\"23839744\"] \n  31 -> 35 [size =\"23839744\"]\n  31 -> 37 [size =\"23839744\"]\n  32 [size=\"65262933\", alpha=\"0.15\", expect_size=\"19578880\"] \n  32 -> 35 [size =\"19578880\"]\n  32 -> 36 [size =\"19578880\"]\n  33 [size=\"69628587\", alpha=\"0.19\", expect_size=\"20888576\"] \n  33 -> 34 [size =\"20888576\"]\n  33 -> 36 [size =\"20888576\"]\n  34 [size=\"51339947\", alpha=\"0.01\", expect_size=\"15401984\"] \n  34 -> 39 [size =\"15401984\"]\n  35 [size=\"98805760\", alpha=\"0.16\", expect_size=\"29641728\"] \n  35 -> 42 [size =\"29641728\"]\n  36 [size=\"131836587\", alpha=\"0.16\", expect_size=\"39550976\"] \n  36 -> 41 [size =\"39550976\"]\n  37 [size=\"132078933\", alpha=\"0.18\", expect_size=\"39623680\"] \n  37 -> 40 [size =\"39623680\"]\n  37 -> 41 [size =\"39623680\"]\n  37 -> 42 [size =\"39623680\"]\n  37 -> 43 [size =\"39623680\"]\n  38 [size=\"160310613\", alpha=\"0.04\", expect_size=\"48093184\"] \n  38 -> 43 [size =\"48093184\"]\n  39 [size=\"165836800\", alpha=\"0.08\", expect_size=\"49751040\"] \n  40 [size=\"124928000\", alpha=\"0.07\", expect_size=\"37478400\"] \n  41 [size=\"110639787\", alpha=\"0.01\", expect_size=\"33191936\"] \n  41 -> 44 [size =\"33191936\"]\n  41 -> 45 [size =\"33191936\"]\n  42 [size=\"83626667\", alpha=\"0.17\", expect_size=\"25088000\"] \n  43 [size=\"42885120\", alpha=\"0.07\", expect_size=\"12865536\"] \n  43 -> 44 [size =\"12865536\"]\n  44 [size=\"33471147\", alpha=\"0.05\", expect_size=\"10041344\"] \n  45 [size=\"43438080\", alpha=\"0.17\", expect_size=\"13031424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120845653\", alpha=\"0.03\", expect_size=\"36253696\"] \n  1 -> 8 [size =\"36253696\"]\n  2 [size=\"166635520\", alpha=\"0.06\", expect_size=\"49990656\"] \n  2 -> 5 [size =\"49990656\"]\n  3 [size=\"32925013\", alpha=\"0.19\", expect_size=\"9877504\"] \n  3 -> 6 [size =\"9877504\"]\n  3 -> 7 [size =\"9877504\"]\n  3 -> 8 [size =\"9877504\"]\n  4 [size=\"71195307\", alpha=\"0.14\", expect_size=\"21358592\"] \n  4 -> 5 [size =\"21358592\"]\n  5 [size=\"139492693\", alpha=\"0.04\", expect_size=\"41847808\"] \n  6 [size=\"81503573\", alpha=\"0.04\", expect_size=\"24451072\"] \n  6 -> 9 [size =\"24451072\"]\n  6 -> 11 [size =\"24451072\"]\n  7 [size=\"46165333\", alpha=\"0.02\", expect_size=\"13849600\"] \n  7 -> 10 [size =\"13849600\"]\n  7 -> 11 [size =\"13849600\"]\n  8 [size=\"133492053\", alpha=\"0.08\", expect_size=\"40047616\"] \n  8 -> 10 [size =\"40047616\"]\n  9 [size=\"116828160\", alpha=\"0.05\", expect_size=\"35048448\"] \n  9 -> 12 [size =\"35048448\"]\n  9 -> 13 [size =\"35048448\"]\n  10 [size=\"48363520\", alpha=\"0.14\", expect_size=\"14509056\"] \n  10 -> 13 [size =\"14509056\"]\n  11 [size=\"91231573\", alpha=\"0.01\", expect_size=\"27369472\"] \n  11 -> 12 [size =\"27369472\"]\n  12 [size=\"116691627\", alpha=\"0.10\", expect_size=\"35007488\"] \n  12 -> 15 [size =\"35007488\"]\n  12 -> 16 [size =\"35007488\"]\n  12 -> 17 [size =\"35007488\"]\n  13 [size=\"165454507\", alpha=\"0.19\", expect_size=\"49636352\"] \n  13 -> 14 [size =\"49636352\"]\n  13 -> 15 [size =\"49636352\"]\n  13 -> 16 [size =\"49636352\"]\n  13 -> 17 [size =\"49636352\"]\n  14 [size=\"154466987\", alpha=\"0.12\", expect_size=\"46340096\"] \n  14 -> 19 [size =\"46340096\"]\n  15 [size=\"109718187\", alpha=\"0.19\", expect_size=\"32915456\"] \n  15 -> 18 [size =\"32915456\"]\n  15 -> 19 [size =\"32915456\"]\n  15 -> 20 [size =\"32915456\"]\n  16 [size=\"144158720\", alpha=\"0.05\", expect_size=\"43247616\"] \n  16 -> 18 [size =\"43247616\"]\n  17 [size=\"172840960\", alpha=\"0.16\", expect_size=\"51852288\"] \n  18 [size=\"34498560\", alpha=\"0.17\", expect_size=\"10349568\"] \n  19 [size=\"97798827\", alpha=\"0.06\", expect_size=\"29339648\"] \n  19 -> 21 [size =\"29339648\"]\n  20 [size=\"135949653\", alpha=\"0.13\", expect_size=\"40784896\"] \n  20 -> 21 [size =\"40784896\"]\n  20 -> 22 [size =\"40784896\"]\n  21 [size=\"86582613\", alpha=\"0.13\", expect_size=\"25974784\"] \n  21 -> 23 [size =\"25974784\"]\n  21 -> 24 [size =\"25974784\"]\n  22 [size=\"92378453\", alpha=\"0.12\", expect_size=\"27713536\"] \n  23 [size=\"174650027\", alpha=\"0.14\", expect_size=\"52395008\"] \n  23 -> 25 [size =\"52395008\"]\n  23 -> 27 [size =\"52395008\"]\n  24 [size=\"165413547\", alpha=\"0.02\", expect_size=\"49624064\"] \n  24 -> 26 [size =\"49624064\"]\n  24 -> 27 [size =\"49624064\"]\n  24 -> 28 [size =\"49624064\"]\n  25 [size=\"101703680\", alpha=\"0.05\", expect_size=\"30511104\"] \n  25 -> 30 [size =\"30511104\"]\n  26 [size=\"93822293\", alpha=\"0.17\", expect_size=\"28146688\"] \n  27 [size=\"129652053\", alpha=\"0.12\", expect_size=\"38895616\"] \n  28 [size=\"100918613\", alpha=\"0.02\", expect_size=\"30275584\"] \n  28 -> 29 [size =\"30275584\"]\n  29 [size=\"78827520\", alpha=\"0.05\", expect_size=\"23648256\"] \n  29 -> 32 [size =\"23648256\"]\n  29 -> 33 [size =\"23648256\"]\n  30 [size=\"125661867\", alpha=\"0.11\", expect_size=\"37698560\"] \n  30 -> 31 [size =\"37698560\"]\n  30 -> 32 [size =\"37698560\"]\n  30 -> 33 [size =\"37698560\"]\n  30 -> 34 [size =\"37698560\"]\n  31 [size=\"70949547\", alpha=\"0.07\", expect_size=\"21284864\"] \n  31 -> 35 [size =\"21284864\"]\n  31 -> 37 [size =\"21284864\"]\n  32 [size=\"18056533\", alpha=\"0.16\", expect_size=\"5416960\"] \n  32 -> 36 [size =\"5416960\"]\n  33 [size=\"116152320\", alpha=\"0.03\", expect_size=\"34845696\"] \n  33 -> 37 [size =\"34845696\"]\n  34 [size=\"66106027\", alpha=\"0.08\", expect_size=\"19831808\"] \n  34 -> 35 [size =\"19831808\"]\n  35 [size=\"78933333\", alpha=\"0.05\", expect_size=\"23680000\"] \n  35 -> 38 [size =\"23680000\"]\n  36 [size=\"119357440\", alpha=\"0.18\", expect_size=\"35807232\"] \n  36 -> 38 [size =\"35807232\"]\n  36 -> 39 [size =\"35807232\"]\n  36 -> 40 [size =\"35807232\"]\n  36 -> 41 [size =\"35807232\"]\n  37 [size=\"94122667\", alpha=\"0.10\", expect_size=\"28236800\"] \n  37 -> 39 [size =\"28236800\"]\n  37 -> 40 [size =\"28236800\"]\n  38 [size=\"31918080\", alpha=\"0.05\", expect_size=\"9575424\"] \n  38 -> 43 [size =\"9575424\"]\n  39 [size=\"48766293\", alpha=\"0.09\", expect_size=\"14629888\"] \n  39 -> 42 [size =\"14629888\"]\n  40 [size=\"86729387\", alpha=\"0.09\", expect_size=\"26018816\"] \n  40 -> 42 [size =\"26018816\"]\n  41 [size=\"19411627\", alpha=\"0.18\", expect_size=\"5823488\"] \n  42 [size=\"77854720\", alpha=\"0.16\", expect_size=\"23356416\"] \n  42 -> 44 [size =\"23356416\"]\n  43 [size=\"46701227\", alpha=\"0.14\", expect_size=\"14010368\"] \n  43 -> 44 [size =\"14010368\"]\n  43 -> 45 [size =\"14010368\"]\n  44 [size=\"73932800\", alpha=\"0.11\", expect_size=\"22179840\"] \n  45 [size=\"139257173\", alpha=\"0.19\", expect_size=\"41777152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67373056\", alpha=\"0.18\", expect_size=\"33686528\"] \n  1 -> 2 [size =\"33686528\"]\n  2 [size=\"37212160\", alpha=\"0.13\", expect_size=\"18606080\"] \n  2 -> 3 [size =\"18606080\"]\n  3 [size=\"79034368\", alpha=\"0.10\", expect_size=\"39517184\"] \n  3 -> 4 [size =\"39517184\"]\n  4 [size=\"94021632\", alpha=\"0.01\", expect_size=\"47010816\"] \n  4 -> 5 [size =\"47010816\"]\n  5 [size=\"10889216\", alpha=\"0.02\", expect_size=\"5444608\"] \n  5 -> 6 [size =\"5444608\"]\n  6 [size=\"41828352\", alpha=\"0.15\", expect_size=\"20914176\"] \n  6 -> 7 [size =\"20914176\"]\n  7 [size=\"52566016\", alpha=\"0.07\", expect_size=\"26283008\"] \n  7 -> 8 [size =\"26283008\"]\n  8 [size=\"91779072\", alpha=\"0.02\", expect_size=\"45889536\"] \n  8 -> 9 [size =\"45889536\"]\n  9 [size=\"71219200\", alpha=\"0.08\", expect_size=\"35609600\"] \n  9 -> 10 [size =\"35609600\"]\n  10 [size=\"36718592\", alpha=\"0.19\", expect_size=\"18359296\"] \n  10 -> 11 [size =\"18359296\"]\n  11 [size=\"53059584\", alpha=\"0.11\", expect_size=\"26529792\"] \n  11 -> 12 [size =\"26529792\"]\n  12 [size=\"41431040\", alpha=\"0.19\", expect_size=\"20715520\"] \n  12 -> 13 [size =\"20715520\"]\n  13 [size=\"10651648\", alpha=\"0.01\", expect_size=\"5325824\"] \n  13 -> 14 [size =\"5325824\"]\n  14 [size=\"56131584\", alpha=\"0.08\", expect_size=\"28065792\"] \n  14 -> 15 [size =\"28065792\"]\n  15 [size=\"63184896\", alpha=\"0.18\", expect_size=\"31592448\"] \n  15 -> 16 [size =\"31592448\"]\n  16 [size=\"71753728\", alpha=\"0.01\", expect_size=\"35876864\"] \n  16 -> 17 [size =\"35876864\"]\n  17 [size=\"47312896\", alpha=\"0.03\", expect_size=\"23656448\"] \n  17 -> 18 [size =\"23656448\"]\n  18 [size=\"79067136\", alpha=\"0.15\", expect_size=\"39533568\"] \n  18 -> 19 [size =\"39533568\"]\n  19 [size=\"88377344\", alpha=\"0.16\", expect_size=\"44188672\"] \n  19 -> 20 [size =\"44188672\"]\n  20 [size=\"33323008\", alpha=\"0.14\", expect_size=\"16661504\"] \n  20 -> 21 [size =\"16661504\"]\n  21 [size=\"27846656\", alpha=\"0.05\", expect_size=\"13923328\"] \n  21 -> 22 [size =\"13923328\"]\n  22 [size=\"77891584\", alpha=\"0.01\", expect_size=\"38945792\"] \n  22 -> 23 [size =\"38945792\"]\n  23 [size=\"71995392\", alpha=\"0.11\", expect_size=\"35997696\"] \n  23 -> 24 [size =\"35997696\"]\n  24 [size=\"75094016\", alpha=\"0.20\", expect_size=\"37547008\"] \n  24 -> 25 [size =\"37547008\"]\n  25 [size=\"19136512\", alpha=\"0.08\", expect_size=\"9568256\"] \n  25 -> 26 [size =\"9568256\"]\n  26 [size=\"11825152\", alpha=\"0.03\", expect_size=\"5912576\"] \n  26 -> 27 [size =\"5912576\"]\n  27 [size=\"16289792\", alpha=\"0.07\", expect_size=\"8144896\"] \n  27 -> 28 [size =\"8144896\"]\n  28 [size=\"31119360\", alpha=\"0.08\", expect_size=\"15559680\"] \n  28 -> 29 [size =\"15559680\"]\n  29 [size=\"101244928\", alpha=\"0.02\", expect_size=\"50622464\"] \n  29 -> 30 [size =\"50622464\"]\n  30 [size=\"82722816\", alpha=\"0.02\", expect_size=\"41361408\"] \n  30 -> 31 [size =\"41361408\"]\n  31 [size=\"56301568\", alpha=\"0.10\", expect_size=\"28150784\"] \n  31 -> 32 [size =\"28150784\"]\n  32 [size=\"78872576\", alpha=\"0.06\", expect_size=\"39436288\"] \n  32 -> 33 [size =\"39436288\"]\n  33 [size=\"82788352\", alpha=\"0.01\", expect_size=\"41394176\"] \n  33 -> 34 [size =\"41394176\"]\n  34 [size=\"42227712\", alpha=\"0.06\", expect_size=\"21113856\"] \n  34 -> 35 [size =\"21113856\"]\n  35 [size=\"40728576\", alpha=\"0.02\", expect_size=\"20364288\"] \n  35 -> 36 [size =\"20364288\"]\n  36 [size=\"78694400\", alpha=\"0.11\", expect_size=\"39347200\"] \n  36 -> 37 [size =\"39347200\"]\n  37 [size=\"93100032\", alpha=\"0.07\", expect_size=\"46550016\"] \n  37 -> 38 [size =\"46550016\"]\n  38 [size=\"31653888\", alpha=\"0.19\", expect_size=\"15826944\"] \n  38 -> 39 [size =\"15826944\"]\n  39 [size=\"70021120\", alpha=\"0.07\", expect_size=\"35010560\"] \n  39 -> 40 [size =\"35010560\"]\n  40 [size=\"80195584\", alpha=\"0.19\", expect_size=\"40097792\"] \n  40 -> 41 [size =\"40097792\"]\n  41 [size=\"88408064\", alpha=\"0.16\", expect_size=\"44204032\"] \n  41 -> 42 [size =\"44204032\"]\n  42 [size=\"42858496\", alpha=\"0.07\", expect_size=\"21429248\"] \n  42 -> 43 [size =\"21429248\"]\n  43 [size=\"68870144\", alpha=\"0.10\", expect_size=\"34435072\"] \n  43 -> 44 [size =\"34435072\"]\n  44 [size=\"72232960\", alpha=\"0.08\", expect_size=\"36116480\"] \n  44 -> 45 [size =\"36116480\"]\n  45 [size=\"98596864\", alpha=\"0.07\", expect_size=\"49298432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77482667\", alpha=\"0.00\", expect_size=\"23244800\"] \n  1 -> 6 [size =\"23244800\"]\n  2 [size=\"41809920\", alpha=\"0.20\", expect_size=\"12542976\"] \n  3 [size=\"108984320\", alpha=\"0.04\", expect_size=\"32695296\"] \n  3 -> 7 [size =\"32695296\"]\n  3 -> 8 [size =\"32695296\"]\n  4 [size=\"117954560\", alpha=\"0.06\", expect_size=\"35386368\"] \n  4 -> 7 [size =\"35386368\"]\n  5 [size=\"54510933\", alpha=\"0.15\", expect_size=\"16353280\"] \n  6 [size=\"108335787\", alpha=\"0.11\", expect_size=\"32500736\"] \n  6 -> 9 [size =\"32500736\"]\n  6 -> 13 [size =\"32500736\"]\n  6 -> 14 [size =\"32500736\"]\n  6 -> 16 [size =\"32500736\"]\n  7 [size=\"132713813\", alpha=\"0.18\", expect_size=\"39814144\"] \n  7 -> 11 [size =\"39814144\"]\n  7 -> 12 [size =\"39814144\"]\n  7 -> 14 [size =\"39814144\"]\n  7 -> 15 [size =\"39814144\"]\n  7 -> 16 [size =\"39814144\"]\n  8 [size=\"31621120\", alpha=\"0.17\", expect_size=\"9486336\"] \n  8 -> 10 [size =\"9486336\"]\n  9 [size=\"46250667\", alpha=\"0.16\", expect_size=\"13875200\"] \n  9 -> 17 [size =\"13875200\"]\n  10 [size=\"108827307\", alpha=\"0.19\", expect_size=\"32648192\"] \n  10 -> 17 [size =\"32648192\"]\n  11 [size=\"67297280\", alpha=\"0.13\", expect_size=\"20189184\"] \n  12 [size=\"70905173\", alpha=\"0.08\", expect_size=\"21271552\"] \n  13 [size=\"70539947\", alpha=\"0.02\", expect_size=\"21161984\"] \n  14 [size=\"105738240\", alpha=\"0.04\", expect_size=\"31721472\"] \n  14 -> 19 [size =\"31721472\"]\n  15 [size=\"155835733\", alpha=\"0.13\", expect_size=\"46750720\"] \n  15 -> 17 [size =\"46750720\"]\n  16 [size=\"118756693\", alpha=\"0.04\", expect_size=\"35627008\"] \n  16 -> 17 [size =\"35627008\"]\n  16 -> 18 [size =\"35627008\"]\n  16 -> 19 [size =\"35627008\"]\n  17 [size=\"50066773\", alpha=\"0.04\", expect_size=\"15020032\"] \n  17 -> 21 [size =\"15020032\"]\n  17 -> 22 [size =\"15020032\"]\n  18 [size=\"30904320\", alpha=\"0.06\", expect_size=\"9271296\"] \n  18 -> 22 [size =\"9271296\"]\n  18 -> 23 [size =\"9271296\"]\n  19 [size=\"167086080\", alpha=\"0.12\", expect_size=\"50125824\"] \n  19 -> 20 [size =\"50125824\"]\n  20 [size=\"136659627\", alpha=\"0.06\", expect_size=\"40997888\"] \n  20 -> 25 [size =\"40997888\"]\n  20 -> 28 [size =\"40997888\"]\n  21 [size=\"124921173\", alpha=\"0.09\", expect_size=\"37476352\"] \n  21 -> 24 [size =\"37476352\"]\n  21 -> 27 [size =\"37476352\"]\n  21 -> 29 [size =\"37476352\"]\n  21 -> 31 [size =\"37476352\"]\n  22 [size=\"68498773\", alpha=\"0.15\", expect_size=\"20549632\"] \n  22 -> 24 [size =\"20549632\"]\n  22 -> 26 [size =\"20549632\"]\n  22 -> 29 [size =\"20549632\"]\n  22 -> 30 [size =\"20549632\"]\n  23 [size=\"129006933\", alpha=\"0.12\", expect_size=\"38702080\"] \n  24 [size=\"146179413\", alpha=\"0.02\", expect_size=\"43853824\"] \n  24 -> 35 [size =\"43853824\"]\n  24 -> 36 [size =\"43853824\"]\n  25 [size=\"22787413\", alpha=\"0.17\", expect_size=\"6836224\"] \n  25 -> 33 [size =\"6836224\"]\n  26 [size=\"123204267\", alpha=\"0.03\", expect_size=\"36961280\"] \n  26 -> 33 [size =\"36961280\"]\n  27 [size=\"155149653\", alpha=\"0.04\", expect_size=\"46544896\"] \n  27 -> 32 [size =\"46544896\"]\n  28 [size=\"27678720\", alpha=\"0.07\", expect_size=\"8303616\"] \n  29 [size=\"73932800\", alpha=\"0.13\", expect_size=\"22179840\"] \n  29 -> 34 [size =\"22179840\"]\n  29 -> 36 [size =\"22179840\"]\n  30 [size=\"164450987\", alpha=\"0.11\", expect_size=\"49335296\"] \n  31 [size=\"57835520\", alpha=\"0.16\", expect_size=\"17350656\"] \n  31 -> 34 [size =\"17350656\"]\n  31 -> 35 [size =\"17350656\"]\n  31 -> 36 [size =\"17350656\"]\n  32 [size=\"128665600\", alpha=\"0.07\", expect_size=\"38599680\"] \n  32 -> 40 [size =\"38599680\"]\n  33 [size=\"86705493\", alpha=\"0.05\", expect_size=\"26011648\"] \n  33 -> 38 [size =\"26011648\"]\n  33 -> 39 [size =\"26011648\"]\n  33 -> 40 [size =\"26011648\"]\n  34 [size=\"23466667\", alpha=\"0.14\", expect_size=\"7040000\"] \n  34 -> 37 [size =\"7040000\"]\n  35 [size=\"39424000\", alpha=\"0.01\", expect_size=\"11827200\"] \n  35 -> 39 [size =\"11827200\"]\n  35 -> 41 [size =\"11827200\"]\n  36 [size=\"171612160\", alpha=\"0.00\", expect_size=\"51483648\"] \n  36 -> 38 [size =\"51483648\"]\n  36 -> 39 [size =\"51483648\"]\n  37 [size=\"39034880\", alpha=\"0.04\", expect_size=\"11710464\"] \n  37 -> 42 [size =\"11710464\"]\n  38 [size=\"71502507\", alpha=\"0.10\", expect_size=\"21450752\"] \n  38 -> 44 [size =\"21450752\"]\n  39 [size=\"125873493\", alpha=\"0.14\", expect_size=\"37762048\"] \n  40 [size=\"73635840\", alpha=\"0.14\", expect_size=\"22090752\"] \n  40 -> 42 [size =\"22090752\"]\n  41 [size=\"163433813\", alpha=\"0.07\", expect_size=\"49030144\"] \n  41 -> 42 [size =\"49030144\"]\n  41 -> 43 [size =\"49030144\"]\n  42 [size=\"130515627\", alpha=\"0.07\", expect_size=\"39154688\"] \n  42 -> 45 [size =\"39154688\"]\n  43 [size=\"28306773\", alpha=\"0.01\", expect_size=\"8492032\"] \n  44 [size=\"67160747\", alpha=\"0.11\", expect_size=\"20148224\"] \n  45 [size=\"20770133\", alpha=\"0.02\", expect_size=\"6231040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23941120\", alpha=\"0.11\", expect_size=\"9576448\"] \n  1 -> 24 [size =\"9576448\"]\n  1 -> 27 [size =\"9576448\"]\n  1 -> 29 [size =\"9576448\"]\n  1 -> 33 [size =\"9576448\"]\n  1 -> 36 [size =\"9576448\"]\n  1 -> 38 [size =\"9576448\"]\n  1 -> 38 [size =\"9576448\"]\n  1 -> 40 [size =\"9576448\"]\n  1 -> 44 [size =\"9576448\"]\n  2 [size=\"117045760\", alpha=\"0.11\", expect_size=\"46818304\"] \n  2 -> 21 [size =\"46818304\"]\n  2 -> 23 [size =\"46818304\"]\n  2 -> 30 [size =\"46818304\"]\n  2 -> 31 [size =\"46818304\"]\n  2 -> 38 [size =\"46818304\"]\n  2 -> 39 [size =\"46818304\"]\n  2 -> 40 [size =\"46818304\"]\n  2 -> 44 [size =\"46818304\"]\n  2 -> 45 [size =\"46818304\"]\n  3 [size=\"99023360\", alpha=\"0.18\", expect_size=\"39609344\"] \n  3 -> 20 [size =\"39609344\"]\n  3 -> 22 [size =\"39609344\"]\n  3 -> 23 [size =\"39609344\"]\n  3 -> 24 [size =\"39609344\"]\n  3 -> 27 [size =\"39609344\"]\n  3 -> 33 [size =\"39609344\"]\n  3 -> 43 [size =\"39609344\"]\n  3 -> 44 [size =\"39609344\"]\n  3 -> 45 [size =\"39609344\"]\n  4 [size=\"17584640\", alpha=\"0.05\", expect_size=\"7033856\"] \n  4 -> 20 [size =\"7033856\"]\n  4 -> 33 [size =\"7033856\"]\n  4 -> 34 [size =\"7033856\"]\n  4 -> 35 [size =\"7033856\"]\n  4 -> 38 [size =\"7033856\"]\n  4 -> 40 [size =\"7033856\"]\n  4 -> 43 [size =\"7033856\"]\n  5 [size=\"98600960\", alpha=\"0.19\", expect_size=\"39440384\"] \n  5 -> 20 [size =\"39440384\"]\n  5 -> 23 [size =\"39440384\"]\n  5 -> 24 [size =\"39440384\"]\n  5 -> 31 [size =\"39440384\"]\n  5 -> 32 [size =\"39440384\"]\n  5 -> 34 [size =\"39440384\"]\n  5 -> 38 [size =\"39440384\"]\n  5 -> 40 [size =\"39440384\"]\n  5 -> 44 [size =\"39440384\"]\n  5 -> 45 [size =\"39440384\"]\n  6 [size=\"42700800\", alpha=\"0.19\", expect_size=\"17080320\"] \n  6 -> 19 [size =\"17080320\"]\n  6 -> 20 [size =\"17080320\"]\n  6 -> 23 [size =\"17080320\"]\n  6 -> 24 [size =\"17080320\"]\n  6 -> 25 [size =\"17080320\"]\n  6 -> 28 [size =\"17080320\"]\n  6 -> 32 [size =\"17080320\"]\n  6 -> 34 [size =\"17080320\"]\n  6 -> 40 [size =\"17080320\"]\n  7 [size=\"42439680\", alpha=\"0.03\", expect_size=\"16975872\"] \n  7 -> 24 [size =\"16975872\"]\n  7 -> 25 [size =\"16975872\"]\n  7 -> 28 [size =\"16975872\"]\n  7 -> 31 [size =\"16975872\"]\n  7 -> 34 [size =\"16975872\"]\n  7 -> 37 [size =\"16975872\"]\n  7 -> 38 [size =\"16975872\"]\n  7 -> 44 [size =\"16975872\"]\n  8 [size=\"32289280\", alpha=\"0.01\", expect_size=\"12915712\"] \n  8 -> 18 [size =\"12915712\"]\n  8 -> 21 [size =\"12915712\"]\n  8 -> 24 [size =\"12915712\"]\n  8 -> 26 [size =\"12915712\"]\n  8 -> 27 [size =\"12915712\"]\n  8 -> 30 [size =\"12915712\"]\n  8 -> 34 [size =\"12915712\"]\n  8 -> 35 [size =\"12915712\"]\n  8 -> 36 [size =\"12915712\"]\n  8 -> 37 [size =\"12915712\"]\n  8 -> 41 [size =\"12915712\"]\n  8 -> 42 [size =\"12915712\"]\n  8 -> 44 [size =\"12915712\"]\n  8 -> 45 [size =\"12915712\"]\n  9 [size=\"128878080\", alpha=\"0.18\", expect_size=\"51551232\"] \n  9 -> 18 [size =\"51551232\"]\n  9 -> 19 [size =\"51551232\"]\n  9 -> 20 [size =\"51551232\"]\n  9 -> 24 [size =\"51551232\"]\n  9 -> 27 [size =\"51551232\"]\n  9 -> 28 [size =\"51551232\"]\n  9 -> 30 [size =\"51551232\"]\n  9 -> 34 [size =\"51551232\"]\n  9 -> 39 [size =\"51551232\"]\n  9 -> 41 [size =\"51551232\"]\n  9 -> 41 [size =\"51551232\"]\n  9 -> 44 [size =\"51551232\"]\n  9 -> 45 [size =\"51551232\"]\n  10 [size=\"26227200\", alpha=\"0.20\", expect_size=\"10490880\"] \n  10 -> 18 [size =\"10490880\"]\n  10 -> 20 [size =\"10490880\"]\n  10 -> 28 [size =\"10490880\"]\n  10 -> 32 [size =\"10490880\"]\n  10 -> 33 [size =\"10490880\"]\n  10 -> 34 [size =\"10490880\"]\n  10 -> 40 [size =\"10490880\"]\n  10 -> 44 [size =\"10490880\"]\n  11 [size=\"19624960\", alpha=\"0.05\", expect_size=\"7849984\"] \n  11 -> 24 [size =\"7849984\"]\n  11 -> 31 [size =\"7849984\"]\n  11 -> 35 [size =\"7849984\"]\n  11 -> 37 [size =\"7849984\"]\n  11 -> 38 [size =\"7849984\"]\n  11 -> 40 [size =\"7849984\"]\n  11 -> 40 [size =\"7849984\"]\n  11 -> 41 [size =\"7849984\"]\n  11 -> 45 [size =\"7849984\"]\n  12 [size=\"83904000\", alpha=\"0.07\", expect_size=\"33561600\"] \n  12 -> 21 [size =\"33561600\"]\n  12 -> 24 [size =\"33561600\"]\n  12 -> 25 [size =\"33561600\"]\n  12 -> 28 [size =\"33561600\"]\n  12 -> 29 [size =\"33561600\"]\n  12 -> 31 [size =\"33561600\"]\n  12 -> 33 [size =\"33561600\"]\n  12 -> 40 [size =\"33561600\"]\n  12 -> 42 [size =\"33561600\"]\n  12 -> 43 [size =\"33561600\"]\n  12 -> 45 [size =\"33561600\"]\n  13 [size=\"31444480\", alpha=\"0.15\", expect_size=\"12577792\"] \n  13 -> 20 [size =\"12577792\"]\n  13 -> 24 [size =\"12577792\"]\n  13 -> 33 [size =\"12577792\"]\n  13 -> 34 [size =\"12577792\"]\n  13 -> 37 [size =\"12577792\"]\n  13 -> 43 [size =\"12577792\"]\n  13 -> 45 [size =\"12577792\"]\n  14 [size=\"19712000\", alpha=\"0.12\", expect_size=\"7884800\"] \n  14 -> 20 [size =\"7884800\"]\n  14 -> 23 [size =\"7884800\"]\n  14 -> 24 [size =\"7884800\"]\n  14 -> 25 [size =\"7884800\"]\n  14 -> 27 [size =\"7884800\"]\n  14 -> 31 [size =\"7884800\"]\n  14 -> 32 [size =\"7884800\"]\n  14 -> 35 [size =\"7884800\"]\n  14 -> 38 [size =\"7884800\"]\n  14 -> 40 [size =\"7884800\"]\n  14 -> 43 [size =\"7884800\"]\n  14 -> 44 [size =\"7884800\"]\n  14 -> 45 [size =\"7884800\"]\n  15 [size=\"50204160\", alpha=\"0.20\", expect_size=\"20081664\"] \n  15 -> 20 [size =\"20081664\"]\n  15 -> 23 [size =\"20081664\"]\n  15 -> 25 [size =\"20081664\"]\n  15 -> 32 [size =\"20081664\"]\n  15 -> 37 [size =\"20081664\"]\n  15 -> 38 [size =\"20081664\"]\n  15 -> 45 [size =\"20081664\"]\n  16 [size=\"43760640\", alpha=\"0.12\", expect_size=\"17504256\"] \n  16 -> 20 [size =\"17504256\"]\n  16 -> 23 [size =\"17504256\"]\n  16 -> 24 [size =\"17504256\"]\n  16 -> 31 [size =\"17504256\"]\n  16 -> 34 [size =\"17504256\"]\n  16 -> 35 [size =\"17504256\"]\n  16 -> 38 [size =\"17504256\"]\n  16 -> 39 [size =\"17504256\"]\n  16 -> 45 [size =\"17504256\"]\n  17 [size=\"39403520\", alpha=\"0.01\", expect_size=\"15761408\"] \n  17 -> 23 [size =\"15761408\"]\n  17 -> 23 [size =\"15761408\"]\n  17 -> 28 [size =\"15761408\"]\n  17 -> 29 [size =\"15761408\"]\n  17 -> 35 [size =\"15761408\"]\n  17 -> 37 [size =\"15761408\"]\n  17 -> 38 [size =\"15761408\"]\n  17 -> 39 [size =\"15761408\"]\n  17 -> 45 [size =\"15761408\"]\n  18 [size=\"56133120\", alpha=\"0.05\", expect_size=\"22453248\"] \n  19 [size=\"60520960\", alpha=\"0.04\", expect_size=\"24208384\"] \n  20 [size=\"50941440\", alpha=\"0.16\", expect_size=\"20376576\"] \n  21 [size=\"50101760\", alpha=\"0.10\", expect_size=\"20040704\"] \n  22 [size=\"76774400\", alpha=\"0.02\", expect_size=\"30709760\"] \n  23 [size=\"117575680\", alpha=\"0.08\", expect_size=\"47030272\"] \n  24 [size=\"88192000\", alpha=\"0.15\", expect_size=\"35276800\"] \n  25 [size=\"38169600\", alpha=\"0.16\", expect_size=\"15267840\"] \n  26 [size=\"37240320\", alpha=\"0.03\", expect_size=\"14896128\"] \n  27 [size=\"108175360\", alpha=\"0.14\", expect_size=\"43270144\"] \n  28 [size=\"111336960\", alpha=\"0.09\", expect_size=\"44534784\"] \n  29 [size=\"22661120\", alpha=\"0.03\", expect_size=\"9064448\"] \n  30 [size=\"46243840\", alpha=\"0.19\", expect_size=\"18497536\"] \n  31 [size=\"23429120\", alpha=\"0.17\", expect_size=\"9371648\"] \n  32 [size=\"83020800\", alpha=\"0.07\", expect_size=\"33208320\"] \n  33 [size=\"93025280\", alpha=\"0.19\", expect_size=\"37210112\"] \n  34 [size=\"21396480\", alpha=\"0.13\", expect_size=\"8558592\"] \n  35 [size=\"108541440\", alpha=\"0.13\", expect_size=\"43416576\"] \n  36 [size=\"86064640\", alpha=\"0.19\", expect_size=\"34425856\"] \n  37 [size=\"101521920\", alpha=\"0.09\", expect_size=\"40608768\"] \n  38 [size=\"66286080\", alpha=\"0.06\", expect_size=\"26514432\"] \n  39 [size=\"117504000\", alpha=\"0.11\", expect_size=\"47001600\"] \n  40 [size=\"17054720\", alpha=\"0.02\", expect_size=\"6821888\"] \n  41 [size=\"13987840\", alpha=\"0.00\", expect_size=\"5595136\"] \n  42 [size=\"114823680\", alpha=\"0.09\", expect_size=\"45929472\"] \n  43 [size=\"36464640\", alpha=\"0.15\", expect_size=\"14585856\"] \n  44 [size=\"33180160\", alpha=\"0.14\", expect_size=\"13272064\"] \n  45 [size=\"111575040\", alpha=\"0.17\", expect_size=\"44630016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95283200\", alpha=\"0.18\", expect_size=\"38113280\"] \n  1 -> 41 [size =\"38113280\"]\n  1 -> 44 [size =\"38113280\"]\n  2 [size=\"110080000\", alpha=\"0.13\", expect_size=\"44032000\"] \n  2 -> 37 [size =\"44032000\"]\n  2 -> 38 [size =\"44032000\"]\n  2 -> 41 [size =\"44032000\"]\n  3 [size=\"112012800\", alpha=\"0.08\", expect_size=\"44805120\"] \n  3 -> 36 [size =\"44805120\"]\n  3 -> 38 [size =\"44805120\"]\n  3 -> 42 [size =\"44805120\"]\n  4 [size=\"55649280\", alpha=\"0.17\", expect_size=\"22259712\"] \n  4 -> 36 [size =\"22259712\"]\n  4 -> 39 [size =\"22259712\"]\n  4 -> 41 [size =\"22259712\"]\n  5 [size=\"96453120\", alpha=\"0.06\", expect_size=\"38581248\"] \n  5 -> 37 [size =\"38581248\"]\n  5 -> 44 [size =\"38581248\"]\n  6 [size=\"45862400\", alpha=\"0.06\", expect_size=\"18344960\"] \n  6 -> 36 [size =\"18344960\"]\n  6 -> 38 [size =\"18344960\"]\n  6 -> 41 [size =\"18344960\"]\n  6 -> 43 [size =\"18344960\"]\n  6 -> 44 [size =\"18344960\"]\n  7 [size=\"59261440\", alpha=\"0.01\", expect_size=\"23704576\"] \n  7 -> 37 [size =\"23704576\"]\n  7 -> 38 [size =\"23704576\"]\n  7 -> 39 [size =\"23704576\"]\n  7 -> 40 [size =\"23704576\"]\n  7 -> 42 [size =\"23704576\"]\n  7 -> 43 [size =\"23704576\"]\n  7 -> 44 [size =\"23704576\"]\n  8 [size=\"119539200\", alpha=\"0.10\", expect_size=\"47815680\"] \n  8 -> 38 [size =\"47815680\"]\n  8 -> 40 [size =\"47815680\"]\n  8 -> 44 [size =\"47815680\"]\n  9 [size=\"119011840\", alpha=\"0.02\", expect_size=\"47604736\"] \n  9 -> 42 [size =\"47604736\"]\n  9 -> 44 [size =\"47604736\"]\n  9 -> 44 [size =\"47604736\"]\n  10 [size=\"40839680\", alpha=\"0.18\", expect_size=\"16335872\"] \n  10 -> 37 [size =\"16335872\"]\n  10 -> 42 [size =\"16335872\"]\n  10 -> 43 [size =\"16335872\"]\n  10 -> 44 [size =\"16335872\"]\n  11 [size=\"13642240\", alpha=\"0.05\", expect_size=\"5456896\"] \n  11 -> 38 [size =\"5456896\"]\n  11 -> 41 [size =\"5456896\"]\n  11 -> 42 [size =\"5456896\"]\n  11 -> 44 [size =\"5456896\"]\n  12 [size=\"121241600\", alpha=\"0.02\", expect_size=\"48496640\"] \n  12 -> 37 [size =\"48496640\"]\n  12 -> 38 [size =\"48496640\"]\n  12 -> 42 [size =\"48496640\"]\n  12 -> 44 [size =\"48496640\"]\n  13 [size=\"79296000\", alpha=\"0.04\", expect_size=\"31718400\"] \n  13 -> 37 [size =\"31718400\"]\n  13 -> 38 [size =\"31718400\"]\n  13 -> 41 [size =\"31718400\"]\n  13 -> 44 [size =\"31718400\"]\n  14 [size=\"128663040\", alpha=\"0.06\", expect_size=\"51465216\"] \n  14 -> 36 [size =\"51465216\"]\n  14 -> 37 [size =\"51465216\"]\n  14 -> 39 [size =\"51465216\"]\n  14 -> 41 [size =\"51465216\"]\n  14 -> 44 [size =\"51465216\"]\n  15 [size=\"112258560\", alpha=\"0.13\", expect_size=\"44903424\"] \n  15 -> 36 [size =\"44903424\"]\n  15 -> 39 [size =\"44903424\"]\n  15 -> 41 [size =\"44903424\"]\n  15 -> 43 [size =\"44903424\"]\n  15 -> 44 [size =\"44903424\"]\n  16 [size=\"30566400\", alpha=\"0.13\", expect_size=\"12226560\"] \n  16 -> 38 [size =\"12226560\"]\n  16 -> 42 [size =\"12226560\"]\n  17 [size=\"64250880\", alpha=\"0.04\", expect_size=\"25700352\"] \n  17 -> 44 [size =\"25700352\"]\n  18 [size=\"69708800\", alpha=\"0.07\", expect_size=\"27883520\"] \n  18 -> 41 [size =\"27883520\"]\n  18 -> 44 [size =\"27883520\"]\n  19 [size=\"128056320\", alpha=\"0.14\", expect_size=\"51222528\"] \n  19 -> 38 [size =\"51222528\"]\n  19 -> 41 [size =\"51222528\"]\n  19 -> 42 [size =\"51222528\"]\n  19 -> 43 [size =\"51222528\"]\n  19 -> 44 [size =\"51222528\"]\n  20 [size=\"22200320\", alpha=\"0.11\", expect_size=\"8880128\"] \n  20 -> 38 [size =\"8880128\"]\n  20 -> 43 [size =\"8880128\"]\n  20 -> 44 [size =\"8880128\"]\n  21 [size=\"127598080\", alpha=\"0.01\", expect_size=\"51039232\"] \n  21 -> 38 [size =\"51039232\"]\n  21 -> 42 [size =\"51039232\"]\n  21 -> 43 [size =\"51039232\"]\n  22 [size=\"41113600\", alpha=\"0.09\", expect_size=\"16445440\"] \n  22 -> 38 [size =\"16445440\"]\n  23 [size=\"53926400\", alpha=\"0.12\", expect_size=\"21570560\"] \n  23 -> 37 [size =\"21570560\"]\n  23 -> 38 [size =\"21570560\"]\n  23 -> 39 [size =\"21570560\"]\n  23 -> 41 [size =\"21570560\"]\n  23 -> 42 [size =\"21570560\"]\n  24 [size=\"75502080\", alpha=\"0.04\", expect_size=\"30200832\"] \n  24 -> 37 [size =\"30200832\"]\n  24 -> 38 [size =\"30200832\"]\n  24 -> 41 [size =\"30200832\"]\n  24 -> 42 [size =\"30200832\"]\n  24 -> 44 [size =\"30200832\"]\n  25 [size=\"112128000\", alpha=\"0.09\", expect_size=\"44851200\"] \n  25 -> 37 [size =\"44851200\"]\n  25 -> 38 [size =\"44851200\"]\n  25 -> 41 [size =\"44851200\"]\n  26 [size=\"70341120\", alpha=\"0.20\", expect_size=\"28136448\"] \n  26 -> 37 [size =\"28136448\"]\n  26 -> 38 [size =\"28136448\"]\n  26 -> 41 [size =\"28136448\"]\n  27 [size=\"28021760\", alpha=\"0.18\", expect_size=\"11208704\"] \n  27 -> 37 [size =\"11208704\"]\n  27 -> 38 [size =\"11208704\"]\n  27 -> 39 [size =\"11208704\"]\n  27 -> 40 [size =\"11208704\"]\n  27 -> 42 [size =\"11208704\"]\n  28 [size=\"48665600\", alpha=\"0.15\", expect_size=\"19466240\"] \n  28 -> 38 [size =\"19466240\"]\n  28 -> 38 [size =\"19466240\"]\n  28 -> 40 [size =\"19466240\"]\n  28 -> 42 [size =\"19466240\"]\n  28 -> 43 [size =\"19466240\"]\n  28 -> 44 [size =\"19466240\"]\n  28 -> 45 [size =\"19466240\"]\n  29 [size=\"90585600\", alpha=\"0.09\", expect_size=\"36234240\"] \n  29 -> 40 [size =\"36234240\"]\n  29 -> 43 [size =\"36234240\"]\n  29 -> 44 [size =\"36234240\"]\n  30 [size=\"54891520\", alpha=\"0.09\", expect_size=\"21956608\"] \n  30 -> 43 [size =\"21956608\"]\n  30 -> 43 [size =\"21956608\"]\n  31 [size=\"118039040\", alpha=\"0.08\", expect_size=\"47215616\"] \n  31 -> 36 [size =\"47215616\"]\n  31 -> 41 [size =\"47215616\"]\n  31 -> 42 [size =\"47215616\"]\n  31 -> 44 [size =\"47215616\"]\n  32 [size=\"126269440\", alpha=\"0.06\", expect_size=\"50507776\"] \n  32 -> 37 [size =\"50507776\"]\n  32 -> 41 [size =\"50507776\"]\n  33 [size=\"58598400\", alpha=\"0.15\", expect_size=\"23439360\"] \n  33 -> 36 [size =\"23439360\"]\n  33 -> 41 [size =\"23439360\"]\n  34 [size=\"13928960\", alpha=\"0.04\", expect_size=\"5571584\"] \n  34 -> 38 [size =\"5571584\"]\n  34 -> 40 [size =\"5571584\"]\n  34 -> 41 [size =\"5571584\"]\n  34 -> 44 [size =\"5571584\"]\n  35 [size=\"34803200\", alpha=\"0.09\", expect_size=\"13921280\"] \n  35 -> 41 [size =\"13921280\"]\n  35 -> 42 [size =\"13921280\"]\n  36 [size=\"86609920\", alpha=\"0.17\", expect_size=\"34643968\"] \n  37 [size=\"84136960\", alpha=\"0.14\", expect_size=\"33654784\"] \n  38 [size=\"73538560\", alpha=\"0.01\", expect_size=\"29415424\"] \n  39 [size=\"43284480\", alpha=\"0.07\", expect_size=\"17313792\"] \n  40 [size=\"99279360\", alpha=\"0.15\", expect_size=\"39711744\"] \n  41 [size=\"33328640\", alpha=\"0.02\", expect_size=\"13331456\"] \n  42 [size=\"81894400\", alpha=\"0.13\", expect_size=\"32757760\"] \n  43 [size=\"117186560\", alpha=\"0.12\", expect_size=\"46874624\"] \n  44 [size=\"87426560\", alpha=\"0.01\", expect_size=\"34970624\"] \n  45 [size=\"108175360\", alpha=\"0.07\", expect_size=\"43270144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35463168\", alpha=\"0.15\", expect_size=\"17731584\"] \n  1 -> 9 [size =\"17731584\"]\n  1 -> 10 [size =\"17731584\"]\n  1 -> 10 [size =\"17731584\"]\n  1 -> 13 [size =\"17731584\"]\n  1 -> 13 [size =\"17731584\"]\n  1 -> 19 [size =\"17731584\"]\n  1 -> 21 [size =\"17731584\"]\n  2 [size=\"100214784\", alpha=\"0.19\", expect_size=\"50107392\"] \n  2 -> 9 [size =\"50107392\"]\n  2 -> 14 [size =\"50107392\"]\n  2 -> 18 [size =\"50107392\"]\n  2 -> 19 [size =\"50107392\"]\n  2 -> 21 [size =\"50107392\"]\n  2 -> 22 [size =\"50107392\"]\n  3 [size=\"75261952\", alpha=\"0.19\", expect_size=\"37630976\"] \n  3 -> 11 [size =\"37630976\"]\n  3 -> 12 [size =\"37630976\"]\n  3 -> 18 [size =\"37630976\"]\n  3 -> 19 [size =\"37630976\"]\n  3 -> 21 [size =\"37630976\"]\n  4 [size=\"28641280\", alpha=\"0.13\", expect_size=\"14320640\"] \n  4 -> 11 [size =\"14320640\"]\n  4 -> 13 [size =\"14320640\"]\n  4 -> 19 [size =\"14320640\"]\n  4 -> 19 [size =\"14320640\"]\n  5 [size=\"39706624\", alpha=\"0.12\", expect_size=\"19853312\"] \n  5 -> 10 [size =\"19853312\"]\n  5 -> 15 [size =\"19853312\"]\n  6 [size=\"14290944\", alpha=\"0.19\", expect_size=\"7145472\"] \n  6 -> 10 [size =\"7145472\"]\n  6 -> 16 [size =\"7145472\"]\n  6 -> 17 [size =\"7145472\"]\n  6 -> 18 [size =\"7145472\"]\n  6 -> 20 [size =\"7145472\"]\n  6 -> 21 [size =\"7145472\"]\n  6 -> 22 [size =\"7145472\"]\n  7 [size=\"24631296\", alpha=\"0.09\", expect_size=\"12315648\"] \n  7 -> 8 [size =\"12315648\"]\n  7 -> 9 [size =\"12315648\"]\n  7 -> 10 [size =\"12315648\"]\n  7 -> 11 [size =\"12315648\"]\n  7 -> 13 [size =\"12315648\"]\n  7 -> 16 [size =\"12315648\"]\n  8 [size=\"41058304\", alpha=\"0.06\", expect_size=\"20529152\"] \n  8 -> 27 [size =\"20529152\"]\n  8 -> 30 [size =\"20529152\"]\n  9 [size=\"45475840\", alpha=\"0.06\", expect_size=\"22737920\"] \n  9 -> 23 [size =\"22737920\"]\n  9 -> 28 [size =\"22737920\"]\n  9 -> 29 [size =\"22737920\"]\n  10 [size=\"101824512\", alpha=\"0.06\", expect_size=\"50912256\"] \n  10 -> 23 [size =\"50912256\"]\n  10 -> 25 [size =\"50912256\"]\n  10 -> 27 [size =\"50912256\"]\n  10 -> 28 [size =\"50912256\"]\n  10 -> 29 [size =\"50912256\"]\n  10 -> 33 [size =\"50912256\"]\n  11 [size=\"34043904\", alpha=\"0.17\", expect_size=\"17021952\"] \n  11 -> 27 [size =\"17021952\"]\n  11 -> 28 [size =\"17021952\"]\n  11 -> 33 [size =\"17021952\"]\n  12 [size=\"103514112\", alpha=\"0.12\", expect_size=\"51757056\"] \n  12 -> 23 [size =\"51757056\"]\n  12 -> 25 [size =\"51757056\"]\n  12 -> 27 [size =\"51757056\"]\n  12 -> 28 [size =\"51757056\"]\n  12 -> 30 [size =\"51757056\"]\n  12 -> 33 [size =\"51757056\"]\n  13 [size=\"97765376\", alpha=\"0.11\", expect_size=\"48882688\"] \n  13 -> 23 [size =\"48882688\"]\n  13 -> 24 [size =\"48882688\"]\n  13 -> 28 [size =\"48882688\"]\n  13 -> 29 [size =\"48882688\"]\n  13 -> 32 [size =\"48882688\"]\n  13 -> 33 [size =\"48882688\"]\n  14 [size=\"94570496\", alpha=\"0.06\", expect_size=\"47285248\"] \n  14 -> 28 [size =\"47285248\"]\n  14 -> 29 [size =\"47285248\"]\n  14 -> 30 [size =\"47285248\"]\n  14 -> 33 [size =\"47285248\"]\n  15 [size=\"63637504\", alpha=\"0.03\", expect_size=\"31818752\"] \n  15 -> 23 [size =\"31818752\"]\n  15 -> 26 [size =\"31818752\"]\n  15 -> 27 [size =\"31818752\"]\n  15 -> 32 [size =\"31818752\"]\n  16 [size=\"26884096\", alpha=\"0.06\", expect_size=\"13442048\"] \n  16 -> 23 [size =\"13442048\"]\n  16 -> 25 [size =\"13442048\"]\n  17 [size=\"22439936\", alpha=\"0.09\", expect_size=\"11219968\"] \n  17 -> 24 [size =\"11219968\"]\n  17 -> 30 [size =\"11219968\"]\n  17 -> 32 [size =\"11219968\"]\n  17 -> 33 [size =\"11219968\"]\n  18 [size=\"65259520\", alpha=\"0.14\", expect_size=\"32629760\"] \n  18 -> 24 [size =\"32629760\"]\n  18 -> 25 [size =\"32629760\"]\n  18 -> 27 [size =\"32629760\"]\n  18 -> 30 [size =\"32629760\"]\n  19 [size=\"92397568\", alpha=\"0.15\", expect_size=\"46198784\"] \n  19 -> 23 [size =\"46198784\"]\n  19 -> 24 [size =\"46198784\"]\n  19 -> 27 [size =\"46198784\"]\n  19 -> 30 [size =\"46198784\"]\n  19 -> 33 [size =\"46198784\"]\n  20 [size=\"25788416\", alpha=\"0.02\", expect_size=\"12894208\"] \n  20 -> 23 [size =\"12894208\"]\n  20 -> 25 [size =\"12894208\"]\n  20 -> 27 [size =\"12894208\"]\n  20 -> 29 [size =\"12894208\"]\n  20 -> 30 [size =\"12894208\"]\n  20 -> 32 [size =\"12894208\"]\n  20 -> 33 [size =\"12894208\"]\n  21 [size=\"54728704\", alpha=\"0.15\", expect_size=\"27364352\"] \n  21 -> 24 [size =\"27364352\"]\n  21 -> 27 [size =\"27364352\"]\n  21 -> 30 [size =\"27364352\"]\n  21 -> 33 [size =\"27364352\"]\n  22 [size=\"42369024\", alpha=\"0.07\", expect_size=\"21184512\"] \n  22 -> 23 [size =\"21184512\"]\n  22 -> 27 [size =\"21184512\"]\n  22 -> 31 [size =\"21184512\"]\n  23 [size=\"100034560\", alpha=\"0.12\", expect_size=\"50017280\"] \n  23 -> 34 [size =\"50017280\"]\n  23 -> 39 [size =\"50017280\"]\n  24 [size=\"56563712\", alpha=\"0.02\", expect_size=\"28281856\"] \n  24 -> 35 [size =\"28281856\"]\n  24 -> 36 [size =\"28281856\"]\n  24 -> 40 [size =\"28281856\"]\n  25 [size=\"84105216\", alpha=\"0.17\", expect_size=\"42052608\"] \n  25 -> 34 [size =\"42052608\"]\n  26 [size=\"100296704\", alpha=\"0.13\", expect_size=\"50148352\"] \n  26 -> 36 [size =\"50148352\"]\n  26 -> 38 [size =\"50148352\"]\n  26 -> 39 [size =\"50148352\"]\n  27 [size=\"35332096\", alpha=\"0.13\", expect_size=\"17666048\"] \n  27 -> 35 [size =\"17666048\"]\n  27 -> 38 [size =\"17666048\"]\n  28 [size=\"77709312\", alpha=\"0.18\", expect_size=\"38854656\"] \n  28 -> 38 [size =\"38854656\"]\n  28 -> 39 [size =\"38854656\"]\n  29 [size=\"47529984\", alpha=\"0.12\", expect_size=\"23764992\"] \n  29 -> 36 [size =\"23764992\"]\n  29 -> 38 [size =\"23764992\"]\n  30 [size=\"23808000\", alpha=\"0.04\", expect_size=\"11904000\"] \n  30 -> 36 [size =\"11904000\"]\n  30 -> 37 [size =\"11904000\"]\n  30 -> 38 [size =\"11904000\"]\n  30 -> 40 [size =\"11904000\"]\n  31 [size=\"35094528\", alpha=\"0.02\", expect_size=\"17547264\"] \n  31 -> 35 [size =\"17547264\"]\n  31 -> 37 [size =\"17547264\"]\n  31 -> 38 [size =\"17547264\"]\n  32 [size=\"11995136\", alpha=\"0.19\", expect_size=\"5997568\"] \n  33 [size=\"44240896\", alpha=\"0.15\", expect_size=\"22120448\"] \n  33 -> 39 [size =\"22120448\"]\n  34 [size=\"102234112\", alpha=\"0.08\", expect_size=\"51117056\"] \n  34 -> 41 [size =\"51117056\"]\n  34 -> 43 [size =\"51117056\"]\n  35 [size=\"15390720\", alpha=\"0.13\", expect_size=\"7695360\"] \n  35 -> 41 [size =\"7695360\"]\n  35 -> 42 [size =\"7695360\"]\n  35 -> 43 [size =\"7695360\"]\n  36 [size=\"96047104\", alpha=\"0.02\", expect_size=\"48023552\"] \n  36 -> 41 [size =\"48023552\"]\n  36 -> 43 [size =\"48023552\"]\n  36 -> 43 [size =\"48023552\"]\n  37 [size=\"64892928\", alpha=\"0.12\", expect_size=\"32446464\"] \n  37 -> 45 [size =\"32446464\"]\n  38 [size=\"30449664\", alpha=\"0.15\", expect_size=\"15224832\"] \n  38 -> 41 [size =\"15224832\"]\n  38 -> 42 [size =\"15224832\"]\n  39 [size=\"23287808\", alpha=\"0.15\", expect_size=\"11643904\"] \n  39 -> 41 [size =\"11643904\"]\n  39 -> 42 [size =\"11643904\"]\n  39 -> 45 [size =\"11643904\"]\n  40 [size=\"78399488\", alpha=\"0.18\", expect_size=\"39199744\"] \n  40 -> 42 [size =\"39199744\"]\n  40 -> 43 [size =\"39199744\"]\n  40 -> 44 [size =\"39199744\"]\n  40 -> 45 [size =\"39199744\"]\n  41 [size=\"98381824\", alpha=\"0.10\", expect_size=\"49190912\"] \n  42 [size=\"12421120\", alpha=\"0.09\", expect_size=\"6210560\"] \n  43 [size=\"102291456\", alpha=\"0.08\", expect_size=\"51145728\"] \n  44 [size=\"77783040\", alpha=\"0.16\", expect_size=\"38891520\"] \n  45 [size=\"22984704\", alpha=\"0.19\", expect_size=\"11492352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72566784\", alpha=\"0.14\", expect_size=\"36283392\"] \n  1 -> 18 [size =\"36283392\"]\n  1 -> 19 [size =\"36283392\"]\n  1 -> 20 [size =\"36283392\"]\n  1 -> 21 [size =\"36283392\"]\n  1 -> 25 [size =\"36283392\"]\n  1 -> 26 [size =\"36283392\"]\n  1 -> 26 [size =\"36283392\"]\n  1 -> 27 [size =\"36283392\"]\n  1 -> 29 [size =\"36283392\"]\n  1 -> 31 [size =\"36283392\"]\n  1 -> 33 [size =\"36283392\"]\n  1 -> 35 [size =\"36283392\"]\n  1 -> 36 [size =\"36283392\"]\n  2 [size=\"37912576\", alpha=\"0.01\", expect_size=\"18956288\"] \n  2 -> 21 [size =\"18956288\"]\n  2 -> 25 [size =\"18956288\"]\n  2 -> 26 [size =\"18956288\"]\n  2 -> 29 [size =\"18956288\"]\n  2 -> 31 [size =\"18956288\"]\n  2 -> 33 [size =\"18956288\"]\n  2 -> 35 [size =\"18956288\"]\n  2 -> 36 [size =\"18956288\"]\n  3 [size=\"50001920\", alpha=\"0.10\", expect_size=\"25000960\"] \n  3 -> 19 [size =\"25000960\"]\n  3 -> 20 [size =\"25000960\"]\n  3 -> 21 [size =\"25000960\"]\n  3 -> 25 [size =\"25000960\"]\n  3 -> 26 [size =\"25000960\"]\n  3 -> 29 [size =\"25000960\"]\n  3 -> 31 [size =\"25000960\"]\n  3 -> 33 [size =\"25000960\"]\n  3 -> 35 [size =\"25000960\"]\n  3 -> 36 [size =\"25000960\"]\n  4 [size=\"33103872\", alpha=\"0.14\", expect_size=\"16551936\"] \n  4 -> 20 [size =\"16551936\"]\n  4 -> 21 [size =\"16551936\"]\n  4 -> 23 [size =\"16551936\"]\n  4 -> 26 [size =\"16551936\"]\n  4 -> 26 [size =\"16551936\"]\n  4 -> 27 [size =\"16551936\"]\n  4 -> 29 [size =\"16551936\"]\n  4 -> 31 [size =\"16551936\"]\n  4 -> 33 [size =\"16551936\"]\n  4 -> 35 [size =\"16551936\"]\n  4 -> 36 [size =\"16551936\"]\n  5 [size=\"27662336\", alpha=\"0.07\", expect_size=\"13831168\"] \n  5 -> 25 [size =\"13831168\"]\n  5 -> 26 [size =\"13831168\"]\n  5 -> 28 [size =\"13831168\"]\n  5 -> 29 [size =\"13831168\"]\n  5 -> 31 [size =\"13831168\"]\n  5 -> 33 [size =\"13831168\"]\n  5 -> 36 [size =\"13831168\"]\n  6 [size=\"83927040\", alpha=\"0.14\", expect_size=\"41963520\"] \n  6 -> 21 [size =\"41963520\"]\n  6 -> 22 [size =\"41963520\"]\n  6 -> 24 [size =\"41963520\"]\n  6 -> 29 [size =\"41963520\"]\n  6 -> 31 [size =\"41963520\"]\n  6 -> 33 [size =\"41963520\"]\n  6 -> 35 [size =\"41963520\"]\n  6 -> 36 [size =\"41963520\"]\n  7 [size=\"35260416\", alpha=\"0.08\", expect_size=\"17630208\"] \n  7 -> 21 [size =\"17630208\"]\n  7 -> 22 [size =\"17630208\"]\n  7 -> 25 [size =\"17630208\"]\n  7 -> 26 [size =\"17630208\"]\n  7 -> 28 [size =\"17630208\"]\n  7 -> 29 [size =\"17630208\"]\n  7 -> 31 [size =\"17630208\"]\n  7 -> 33 [size =\"17630208\"]\n  8 [size=\"21129216\", alpha=\"0.05\", expect_size=\"10564608\"] \n  8 -> 21 [size =\"10564608\"]\n  8 -> 22 [size =\"10564608\"]\n  8 -> 25 [size =\"10564608\"]\n  8 -> 27 [size =\"10564608\"]\n  8 -> 28 [size =\"10564608\"]\n  8 -> 29 [size =\"10564608\"]\n  8 -> 31 [size =\"10564608\"]\n  8 -> 33 [size =\"10564608\"]\n  8 -> 34 [size =\"10564608\"]\n  8 -> 36 [size =\"10564608\"]\n  9 [size=\"70950912\", alpha=\"0.10\", expect_size=\"35475456\"] \n  9 -> 19 [size =\"35475456\"]\n  9 -> 22 [size =\"35475456\"]\n  9 -> 27 [size =\"35475456\"]\n  9 -> 28 [size =\"35475456\"]\n  9 -> 29 [size =\"35475456\"]\n  9 -> 30 [size =\"35475456\"]\n  9 -> 31 [size =\"35475456\"]\n  9 -> 33 [size =\"35475456\"]\n  10 [size=\"40828928\", alpha=\"0.09\", expect_size=\"20414464\"] \n  10 -> 18 [size =\"20414464\"]\n  10 -> 19 [size =\"20414464\"]\n  10 -> 22 [size =\"20414464\"]\n  10 -> 24 [size =\"20414464\"]\n  10 -> 25 [size =\"20414464\"]\n  10 -> 27 [size =\"20414464\"]\n  10 -> 30 [size =\"20414464\"]\n  10 -> 31 [size =\"20414464\"]\n  10 -> 32 [size =\"20414464\"]\n  10 -> 33 [size =\"20414464\"]\n  11 [size=\"79570944\", alpha=\"0.12\", expect_size=\"39785472\"] \n  11 -> 18 [size =\"39785472\"]\n  11 -> 19 [size =\"39785472\"]\n  11 -> 21 [size =\"39785472\"]\n  11 -> 22 [size =\"39785472\"]\n  11 -> 24 [size =\"39785472\"]\n  11 -> 26 [size =\"39785472\"]\n  11 -> 30 [size =\"39785472\"]\n  11 -> 31 [size =\"39785472\"]\n  11 -> 33 [size =\"39785472\"]\n  11 -> 33 [size =\"39785472\"]\n  12 [size=\"52129792\", alpha=\"0.08\", expect_size=\"26064896\"] \n  12 -> 18 [size =\"26064896\"]\n  12 -> 19 [size =\"26064896\"]\n  12 -> 21 [size =\"26064896\"]\n  12 -> 23 [size =\"26064896\"]\n  12 -> 26 [size =\"26064896\"]\n  12 -> 29 [size =\"26064896\"]\n  12 -> 30 [size =\"26064896\"]\n  12 -> 31 [size =\"26064896\"]\n  12 -> 33 [size =\"26064896\"]\n  12 -> 35 [size =\"26064896\"]\n  13 [size=\"58259456\", alpha=\"0.17\", expect_size=\"29129728\"] \n  13 -> 19 [size =\"29129728\"]\n  13 -> 19 [size =\"29129728\"]\n  13 -> 22 [size =\"29129728\"]\n  13 -> 24 [size =\"29129728\"]\n  13 -> 26 [size =\"29129728\"]\n  13 -> 27 [size =\"29129728\"]\n  13 -> 29 [size =\"29129728\"]\n  13 -> 31 [size =\"29129728\"]\n  13 -> 36 [size =\"29129728\"]\n  14 [size=\"12359680\", alpha=\"0.09\", expect_size=\"6179840\"] \n  14 -> 19 [size =\"6179840\"]\n  14 -> 26 [size =\"6179840\"]\n  14 -> 29 [size =\"6179840\"]\n  14 -> 35 [size =\"6179840\"]\n  14 -> 36 [size =\"6179840\"]\n  15 [size=\"76468224\", alpha=\"0.10\", expect_size=\"38234112\"] \n  15 -> 19 [size =\"38234112\"]\n  15 -> 21 [size =\"38234112\"]\n  15 -> 23 [size =\"38234112\"]\n  15 -> 26 [size =\"38234112\"]\n  15 -> 29 [size =\"38234112\"]\n  15 -> 30 [size =\"38234112\"]\n  15 -> 31 [size =\"38234112\"]\n  15 -> 35 [size =\"38234112\"]\n  15 -> 36 [size =\"38234112\"]\n  16 [size=\"14397440\", alpha=\"0.19\", expect_size=\"7198720\"] \n  16 -> 19 [size =\"7198720\"]\n  16 -> 21 [size =\"7198720\"]\n  16 -> 23 [size =\"7198720\"]\n  16 -> 26 [size =\"7198720\"]\n  16 -> 27 [size =\"7198720\"]\n  16 -> 29 [size =\"7198720\"]\n  16 -> 30 [size =\"7198720\"]\n  16 -> 33 [size =\"7198720\"]\n  16 -> 35 [size =\"7198720\"]\n  16 -> 36 [size =\"7198720\"]\n  17 [size=\"79478784\", alpha=\"0.06\", expect_size=\"39739392\"] \n  17 -> 18 [size =\"39739392\"]\n  17 -> 19 [size =\"39739392\"]\n  17 -> 21 [size =\"39739392\"]\n  17 -> 22 [size =\"39739392\"]\n  17 -> 23 [size =\"39739392\"]\n  17 -> 25 [size =\"39739392\"]\n  17 -> 26 [size =\"39739392\"]\n  17 -> 27 [size =\"39739392\"]\n  17 -> 30 [size =\"39739392\"]\n  17 -> 31 [size =\"39739392\"]\n  17 -> 33 [size =\"39739392\"]\n  17 -> 35 [size =\"39739392\"]\n  17 -> 36 [size =\"39739392\"]\n  18 [size=\"22599680\", alpha=\"0.14\", expect_size=\"11299840\"] \n  18 -> 41 [size =\"11299840\"]\n  18 -> 42 [size =\"11299840\"]\n  18 -> 44 [size =\"11299840\"]\n  19 [size=\"46135296\", alpha=\"0.04\", expect_size=\"23067648\"] \n  19 -> 38 [size =\"23067648\"]\n  20 [size=\"93831168\", alpha=\"0.09\", expect_size=\"46915584\"] \n  21 [size=\"40042496\", alpha=\"0.06\", expect_size=\"20021248\"] \n  21 -> 40 [size =\"20021248\"]\n  21 -> 43 [size =\"20021248\"]\n  22 [size=\"94941184\", alpha=\"0.09\", expect_size=\"47470592\"] \n  22 -> 37 [size =\"47470592\"]\n  22 -> 38 [size =\"47470592\"]\n  22 -> 41 [size =\"47470592\"]\n  22 -> 43 [size =\"47470592\"]\n  23 [size=\"39307264\", alpha=\"0.01\", expect_size=\"19653632\"] \n  23 -> 42 [size =\"19653632\"]\n  23 -> 44 [size =\"19653632\"]\n  23 -> 45 [size =\"19653632\"]\n  24 [size=\"27219968\", alpha=\"0.18\", expect_size=\"13609984\"] \n  24 -> 38 [size =\"13609984\"]\n  24 -> 45 [size =\"13609984\"]\n  25 [size=\"69326848\", alpha=\"0.18\", expect_size=\"34663424\"] \n  25 -> 41 [size =\"34663424\"]\n  25 -> 43 [size =\"34663424\"]\n  25 -> 44 [size =\"34663424\"]\n  25 -> 45 [size =\"34663424\"]\n  26 [size=\"20975616\", alpha=\"0.13\", expect_size=\"10487808\"] \n  26 -> 38 [size =\"10487808\"]\n  26 -> 39 [size =\"10487808\"]\n  26 -> 41 [size =\"10487808\"]\n  27 [size=\"14354432\", alpha=\"0.14\", expect_size=\"7177216\"] \n  27 -> 42 [size =\"7177216\"]\n  27 -> 44 [size =\"7177216\"]\n  27 -> 45 [size =\"7177216\"]\n  28 [size=\"42534912\", alpha=\"0.18\", expect_size=\"21267456\"] \n  28 -> 42 [size =\"21267456\"]\n  29 [size=\"16504832\", alpha=\"0.14\", expect_size=\"8252416\"] \n  29 -> 39 [size =\"8252416\"]\n  29 -> 40 [size =\"8252416\"]\n  30 [size=\"36655104\", alpha=\"0.16\", expect_size=\"18327552\"] \n  30 -> 38 [size =\"18327552\"]\n  30 -> 39 [size =\"18327552\"]\n  30 -> 40 [size =\"18327552\"]\n  30 -> 43 [size =\"18327552\"]\n  30 -> 45 [size =\"18327552\"]\n  31 [size=\"77291520\", alpha=\"0.13\", expect_size=\"38645760\"] \n  31 -> 38 [size =\"38645760\"]\n  31 -> 39 [size =\"38645760\"]\n  31 -> 44 [size =\"38645760\"]\n  31 -> 45 [size =\"38645760\"]\n  32 [size=\"11747328\", alpha=\"0.19\", expect_size=\"5873664\"] \n  32 -> 39 [size =\"5873664\"]\n  32 -> 45 [size =\"5873664\"]\n  33 [size=\"56197120\", alpha=\"0.15\", expect_size=\"28098560\"] \n  33 -> 39 [size =\"28098560\"]\n  33 -> 42 [size =\"28098560\"]\n  33 -> 44 [size =\"28098560\"]\n  34 [size=\"61413376\", alpha=\"0.11\", expect_size=\"30706688\"] \n  34 -> 38 [size =\"30706688\"]\n  34 -> 39 [size =\"30706688\"]\n  35 [size=\"50018304\", alpha=\"0.02\", expect_size=\"25009152\"] \n  35 -> 41 [size =\"25009152\"]\n  35 -> 42 [size =\"25009152\"]\n  36 [size=\"39186432\", alpha=\"0.13\", expect_size=\"19593216\"] \n  36 -> 38 [size =\"19593216\"]\n  36 -> 40 [size =\"19593216\"]\n  37 [size=\"102363136\", alpha=\"0.19\", expect_size=\"51181568\"] \n  38 [size=\"75579392\", alpha=\"0.07\", expect_size=\"37789696\"] \n  39 [size=\"63850496\", alpha=\"0.03\", expect_size=\"31925248\"] \n  40 [size=\"33273856\", alpha=\"0.17\", expect_size=\"16636928\"] \n  41 [size=\"14188544\", alpha=\"0.17\", expect_size=\"7094272\"] \n  42 [size=\"75683840\", alpha=\"0.15\", expect_size=\"37841920\"] \n  43 [size=\"70658048\", alpha=\"0.19\", expect_size=\"35329024\"] \n  44 [size=\"46886912\", alpha=\"0.06\", expect_size=\"23443456\"] \n  45 [size=\"100620288\", alpha=\"0.06\", expect_size=\"50310144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59827200\", alpha=\"0.11\", expect_size=\"23930880\"] \n  1 -> 7 [size =\"23930880\"]\n  1 -> 9 [size =\"23930880\"]\n  1 -> 11 [size =\"23930880\"]\n  1 -> 12 [size =\"23930880\"]\n  2 [size=\"120519680\", alpha=\"0.10\", expect_size=\"48207872\"] \n  2 -> 7 [size =\"48207872\"]\n  2 -> 9 [size =\"48207872\"]\n  2 -> 10 [size =\"48207872\"]\n  2 -> 11 [size =\"48207872\"]\n  2 -> 12 [size =\"48207872\"]\n  3 [size=\"109578240\", alpha=\"0.01\", expect_size=\"43831296\"] \n  3 -> 7 [size =\"43831296\"]\n  3 -> 9 [size =\"43831296\"]\n  3 -> 11 [size =\"43831296\"]\n  3 -> 12 [size =\"43831296\"]\n  4 [size=\"77877760\", alpha=\"0.08\", expect_size=\"31151104\"] \n  4 -> 7 [size =\"31151104\"]\n  4 -> 11 [size =\"31151104\"]\n  5 [size=\"60336640\", alpha=\"0.17\", expect_size=\"24134656\"] \n  5 -> 8 [size =\"24134656\"]\n  6 [size=\"40230400\", alpha=\"0.02\", expect_size=\"16092160\"] \n  6 -> 9 [size =\"16092160\"]\n  6 -> 11 [size =\"16092160\"]\n  7 [size=\"74201600\", alpha=\"0.14\", expect_size=\"29680640\"] \n  7 -> 13 [size =\"29680640\"]\n  7 -> 14 [size =\"29680640\"]\n  7 -> 15 [size =\"29680640\"]\n  8 [size=\"26844160\", alpha=\"0.09\", expect_size=\"10737664\"] \n  8 -> 14 [size =\"10737664\"]\n  8 -> 16 [size =\"10737664\"]\n  9 [size=\"19532800\", alpha=\"0.01\", expect_size=\"7813120\"] \n  9 -> 13 [size =\"7813120\"]\n  9 -> 16 [size =\"7813120\"]\n  9 -> 18 [size =\"7813120\"]\n  10 [size=\"108198400\", alpha=\"0.09\", expect_size=\"43279360\"] \n  10 -> 14 [size =\"43279360\"]\n  10 -> 16 [size =\"43279360\"]\n  10 -> 18 [size =\"43279360\"]\n  11 [size=\"120921600\", alpha=\"0.19\", expect_size=\"48368640\"] \n  11 -> 13 [size =\"48368640\"]\n  11 -> 14 [size =\"48368640\"]\n  11 -> 17 [size =\"48368640\"]\n  11 -> 18 [size =\"48368640\"]\n  12 [size=\"68385280\", alpha=\"0.15\", expect_size=\"27354112\"] \n  12 -> 13 [size =\"27354112\"]\n  12 -> 16 [size =\"27354112\"]\n  12 -> 18 [size =\"27354112\"]\n  13 [size=\"128537600\", alpha=\"0.11\", expect_size=\"51415040\"] \n  13 -> 21 [size =\"51415040\"]\n  13 -> 22 [size =\"51415040\"]\n  13 -> 24 [size =\"51415040\"]\n  14 [size=\"16284160\", alpha=\"0.09\", expect_size=\"6513664\"] \n  14 -> 20 [size =\"6513664\"]\n  14 -> 21 [size =\"6513664\"]\n  14 -> 23 [size =\"6513664\"]\n  15 [size=\"61603840\", alpha=\"0.18\", expect_size=\"24641536\"] \n  15 -> 21 [size =\"24641536\"]\n  15 -> 23 [size =\"24641536\"]\n  16 [size=\"42613760\", alpha=\"0.19\", expect_size=\"17045504\"] \n  16 -> 21 [size =\"17045504\"]\n  16 -> 23 [size =\"17045504\"]\n  17 [size=\"51939840\", alpha=\"0.05\", expect_size=\"20775936\"] \n  17 -> 19 [size =\"20775936\"]\n  17 -> 20 [size =\"20775936\"]\n  17 -> 21 [size =\"20775936\"]\n  17 -> 22 [size =\"20775936\"]\n  17 -> 23 [size =\"20775936\"]\n  18 [size=\"17251840\", alpha=\"0.10\", expect_size=\"6900736\"] \n  18 -> 19 [size =\"6900736\"]\n  18 -> 22 [size =\"6900736\"]\n  19 [size=\"71925760\", alpha=\"0.05\", expect_size=\"28770304\"] \n  19 -> 26 [size =\"28770304\"]\n  19 -> 27 [size =\"28770304\"]\n  19 -> 28 [size =\"28770304\"]\n  20 [size=\"75425280\", alpha=\"0.10\", expect_size=\"30170112\"] \n  20 -> 25 [size =\"30170112\"]\n  20 -> 26 [size =\"30170112\"]\n  20 -> 27 [size =\"30170112\"]\n  20 -> 28 [size =\"30170112\"]\n  20 -> 30 [size =\"30170112\"]\n  21 [size=\"127001600\", alpha=\"0.02\", expect_size=\"50800640\"] \n  21 -> 26 [size =\"50800640\"]\n  21 -> 27 [size =\"50800640\"]\n  21 -> 28 [size =\"50800640\"]\n  21 -> 29 [size =\"50800640\"]\n  22 [size=\"118525440\", alpha=\"0.13\", expect_size=\"47410176\"] \n  22 -> 26 [size =\"47410176\"]\n  22 -> 28 [size =\"47410176\"]\n  22 -> 29 [size =\"47410176\"]\n  22 -> 30 [size =\"47410176\"]\n  23 [size=\"89392640\", alpha=\"0.00\", expect_size=\"35757056\"] \n  23 -> 27 [size =\"35757056\"]\n  23 -> 30 [size =\"35757056\"]\n  24 [size=\"36195840\", alpha=\"0.19\", expect_size=\"14478336\"] \n  24 -> 26 [size =\"14478336\"]\n  25 [size=\"90186240\", alpha=\"0.05\", expect_size=\"36074496\"] \n  25 -> 31 [size =\"36074496\"]\n  25 -> 32 [size =\"36074496\"]\n  25 -> 34 [size =\"36074496\"]\n  25 -> 35 [size =\"36074496\"]\n  26 [size=\"78328320\", alpha=\"0.16\", expect_size=\"31331328\"] \n  26 -> 32 [size =\"31331328\"]\n  26 -> 33 [size =\"31331328\"]\n  26 -> 35 [size =\"31331328\"]\n  27 [size=\"72253440\", alpha=\"0.17\", expect_size=\"28901376\"] \n  27 -> 31 [size =\"28901376\"]\n  27 -> 32 [size =\"28901376\"]\n  28 [size=\"104204800\", alpha=\"0.00\", expect_size=\"41681920\"] \n  28 -> 31 [size =\"41681920\"]\n  28 -> 33 [size =\"41681920\"]\n  28 -> 34 [size =\"41681920\"]\n  28 -> 35 [size =\"41681920\"]\n  29 [size=\"42449920\", alpha=\"0.05\", expect_size=\"16979968\"] \n  29 -> 32 [size =\"16979968\"]\n  29 -> 33 [size =\"16979968\"]\n  29 -> 35 [size =\"16979968\"]\n  30 [size=\"73210880\", alpha=\"0.05\", expect_size=\"29284352\"] \n  31 [size=\"13616640\", alpha=\"0.04\", expect_size=\"5446656\"] \n  31 -> 36 [size =\"5446656\"]\n  31 -> 38 [size =\"5446656\"]\n  32 [size=\"28349440\", alpha=\"0.13\", expect_size=\"11339776\"] \n  32 -> 38 [size =\"11339776\"]\n  33 [size=\"106862080\", alpha=\"0.00\", expect_size=\"42744832\"] \n  33 -> 37 [size =\"42744832\"]\n  33 -> 38 [size =\"42744832\"]\n  33 -> 39 [size =\"42744832\"]\n  34 [size=\"109696000\", alpha=\"0.09\", expect_size=\"43878400\"] \n  34 -> 37 [size =\"43878400\"]\n  34 -> 38 [size =\"43878400\"]\n  35 [size=\"101621760\", alpha=\"0.05\", expect_size=\"40648704\"] \n  35 -> 40 [size =\"40648704\"]\n  36 [size=\"129873920\", alpha=\"0.07\", expect_size=\"51949568\"] \n  36 -> 41 [size =\"51949568\"]\n  36 -> 43 [size =\"51949568\"]\n  36 -> 44 [size =\"51949568\"]\n  37 [size=\"103610880\", alpha=\"0.15\", expect_size=\"41444352\"] \n  37 -> 42 [size =\"41444352\"]\n  37 -> 44 [size =\"41444352\"]\n  37 -> 45 [size =\"41444352\"]\n  38 [size=\"83929600\", alpha=\"0.04\", expect_size=\"33571840\"] \n  38 -> 41 [size =\"33571840\"]\n  38 -> 43 [size =\"33571840\"]\n  38 -> 44 [size =\"33571840\"]\n  38 -> 45 [size =\"33571840\"]\n  39 [size=\"84567040\", alpha=\"0.03\", expect_size=\"33826816\"] \n  39 -> 44 [size =\"33826816\"]\n  39 -> 45 [size =\"33826816\"]\n  40 [size=\"111946240\", alpha=\"0.13\", expect_size=\"44778496\"] \n  41 [size=\"25236480\", alpha=\"0.01\", expect_size=\"10094592\"] \n  42 [size=\"50211840\", alpha=\"0.08\", expect_size=\"20084736\"] \n  43 [size=\"124185600\", alpha=\"0.08\", expect_size=\"49674240\"] \n  44 [size=\"126666240\", alpha=\"0.11\", expect_size=\"50666496\"] \n  45 [size=\"60828160\", alpha=\"0.08\", expect_size=\"24331264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19807573\", alpha=\"0.00\", expect_size=\"5942272\"] \n  1 -> 7 [size =\"5942272\"]\n  1 -> 8 [size =\"5942272\"]\n  1 -> 9 [size =\"5942272\"]\n  1 -> 12 [size =\"5942272\"]\n  2 [size=\"45417813\", alpha=\"0.03\", expect_size=\"13625344\"] \n  2 -> 6 [size =\"13625344\"]\n  2 -> 8 [size =\"13625344\"]\n  2 -> 12 [size =\"13625344\"]\n  3 [size=\"146104320\", alpha=\"0.16\", expect_size=\"43831296\"] \n  3 -> 6 [size =\"43831296\"]\n  4 [size=\"45390507\", alpha=\"0.15\", expect_size=\"13617152\"] \n  4 -> 7 [size =\"13617152\"]\n  4 -> 8 [size =\"13617152\"]\n  4 -> 10 [size =\"13617152\"]\n  4 -> 12 [size =\"13617152\"]\n  5 [size=\"110100480\", alpha=\"0.05\", expect_size=\"33030144\"] \n  5 -> 6 [size =\"33030144\"]\n  5 -> 11 [size =\"33030144\"]\n  6 [size=\"65648640\", alpha=\"0.12\", expect_size=\"19694592\"] \n  6 -> 14 [size =\"19694592\"]\n  6 -> 15 [size =\"19694592\"]\n  6 -> 16 [size =\"19694592\"]\n  7 [size=\"132136960\", alpha=\"0.15\", expect_size=\"39641088\"] \n  7 -> 15 [size =\"39641088\"]\n  7 -> 16 [size =\"39641088\"]\n  8 [size=\"168683520\", alpha=\"0.12\", expect_size=\"50605056\"] \n  8 -> 14 [size =\"50605056\"]\n  9 [size=\"54456320\", alpha=\"0.14\", expect_size=\"16336896\"] \n  9 -> 15 [size =\"16336896\"]\n  10 [size=\"113005227\", alpha=\"0.01\", expect_size=\"33901568\"] \n  11 [size=\"165655893\", alpha=\"0.11\", expect_size=\"49696768\"] \n  11 -> 13 [size =\"49696768\"]\n  11 -> 14 [size =\"49696768\"]\n  11 -> 17 [size =\"49696768\"]\n  12 [size=\"168529920\", alpha=\"0.01\", expect_size=\"50558976\"] \n  12 -> 13 [size =\"50558976\"]\n  12 -> 15 [size =\"50558976\"]\n  13 [size=\"35403093\", alpha=\"0.07\", expect_size=\"10620928\"] \n  13 -> 19 [size =\"10620928\"]\n  13 -> 21 [size =\"10620928\"]\n  14 [size=\"158365013\", alpha=\"0.16\", expect_size=\"47509504\"] \n  14 -> 19 [size =\"47509504\"]\n  14 -> 20 [size =\"47509504\"]\n  14 -> 21 [size =\"47509504\"]\n  14 -> 22 [size =\"47509504\"]\n  15 [size=\"117879467\", alpha=\"0.08\", expect_size=\"35363840\"] \n  15 -> 18 [size =\"35363840\"]\n  15 -> 19 [size =\"35363840\"]\n  15 -> 20 [size =\"35363840\"]\n  15 -> 22 [size =\"35363840\"]\n  16 [size=\"158003200\", alpha=\"0.03\", expect_size=\"47400960\"] \n  16 -> 18 [size =\"47400960\"]\n  16 -> 22 [size =\"47400960\"]\n  17 [size=\"94593707\", alpha=\"0.10\", expect_size=\"28378112\"] \n  17 -> 21 [size =\"28378112\"]\n  18 [size=\"56944640\", alpha=\"0.05\", expect_size=\"17083392\"] \n  18 -> 23 [size =\"17083392\"]\n  18 -> 24 [size =\"17083392\"]\n  19 [size=\"151988907\", alpha=\"0.06\", expect_size=\"45596672\"] \n  19 -> 23 [size =\"45596672\"]\n  20 [size=\"106431147\", alpha=\"0.03\", expect_size=\"31929344\"] \n  21 [size=\"111581867\", alpha=\"0.00\", expect_size=\"33474560\"] \n  21 -> 25 [size =\"33474560\"]\n  21 -> 26 [size =\"33474560\"]\n  22 [size=\"42229760\", alpha=\"0.01\", expect_size=\"12668928\"] \n  22 -> 23 [size =\"12668928\"]\n  22 -> 25 [size =\"12668928\"]\n  23 [size=\"49073493\", alpha=\"0.18\", expect_size=\"14722048\"] \n  24 [size=\"100741120\", alpha=\"0.19\", expect_size=\"30222336\"] \n  24 -> 28 [size =\"30222336\"]\n  24 -> 30 [size =\"30222336\"]\n  25 [size=\"72072533\", alpha=\"0.11\", expect_size=\"21621760\"] \n  25 -> 31 [size =\"21621760\"]\n  26 [size=\"138847573\", alpha=\"0.09\", expect_size=\"41654272\"] \n  26 -> 27 [size =\"41654272\"]\n  26 -> 29 [size =\"41654272\"]\n  26 -> 31 [size =\"41654272\"]\n  27 [size=\"165546667\", alpha=\"0.02\", expect_size=\"49664000\"] \n  27 -> 32 [size =\"49664000\"]\n  27 -> 35 [size =\"49664000\"]\n  27 -> 38 [size =\"49664000\"]\n  28 [size=\"85346987\", alpha=\"0.15\", expect_size=\"25604096\"] \n  28 -> 32 [size =\"25604096\"]\n  28 -> 33 [size =\"25604096\"]\n  28 -> 35 [size =\"25604096\"]\n  28 -> 37 [size =\"25604096\"]\n  29 [size=\"124928000\", alpha=\"0.12\", expect_size=\"37478400\"] \n  29 -> 32 [size =\"37478400\"]\n  29 -> 33 [size =\"37478400\"]\n  29 -> 36 [size =\"37478400\"]\n  29 -> 37 [size =\"37478400\"]\n  30 [size=\"174209707\", alpha=\"0.01\", expect_size=\"52262912\"] \n  30 -> 36 [size =\"52262912\"]\n  30 -> 38 [size =\"52262912\"]\n  31 [size=\"41328640\", alpha=\"0.09\", expect_size=\"12398592\"] \n  31 -> 34 [size =\"12398592\"]\n  31 -> 35 [size =\"12398592\"]\n  31 -> 36 [size =\"12398592\"]\n  31 -> 37 [size =\"12398592\"]\n  31 -> 38 [size =\"12398592\"]\n  32 [size=\"43182080\", alpha=\"0.16\", expect_size=\"12954624\"] \n  32 -> 39 [size =\"12954624\"]\n  32 -> 40 [size =\"12954624\"]\n  33 [size=\"50428587\", alpha=\"0.06\", expect_size=\"15128576\"] \n  34 [size=\"34416640\", alpha=\"0.13\", expect_size=\"10324992\"] \n  34 -> 39 [size =\"10324992\"]\n  34 -> 43 [size =\"10324992\"]\n  35 [size=\"23057067\", alpha=\"0.13\", expect_size=\"6917120\"] \n  35 -> 43 [size =\"6917120\"]\n  36 [size=\"108977493\", alpha=\"0.11\", expect_size=\"32693248\"] \n  36 -> 40 [size =\"32693248\"]\n  36 -> 41 [size =\"32693248\"]\n  37 [size=\"25777493\", alpha=\"0.19\", expect_size=\"7733248\"] \n  37 -> 39 [size =\"7733248\"]\n  37 -> 40 [size =\"7733248\"]\n  37 -> 41 [size =\"7733248\"]\n  37 -> 42 [size =\"7733248\"]\n  37 -> 43 [size =\"7733248\"]\n  38 [size=\"45410987\", alpha=\"0.12\", expect_size=\"13623296\"] \n  38 -> 43 [size =\"13623296\"]\n  39 [size=\"161798827\", alpha=\"0.02\", expect_size=\"48539648\"] \n  39 -> 44 [size =\"48539648\"]\n  40 [size=\"97344853\", alpha=\"0.03\", expect_size=\"29203456\"] \n  41 [size=\"104874667\", alpha=\"0.16\", expect_size=\"31462400\"] \n  41 -> 45 [size =\"31462400\"]\n  42 [size=\"17988267\", alpha=\"0.13\", expect_size=\"5396480\"] \n  43 [size=\"145032533\", alpha=\"0.13\", expect_size=\"43509760\"] \n  43 -> 45 [size =\"43509760\"]\n  44 [size=\"32081920\", alpha=\"0.04\", expect_size=\"9624576\"] \n  45 [size=\"134591147\", alpha=\"0.02\", expect_size=\"40377344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11096064\", alpha=\"0.00\", expect_size=\"5548032\"] \n  2 [size=\"23681024\", alpha=\"0.18\", expect_size=\"11840512\"] \n  2 -> 45 [size =\"11840512\"]\n  3 [size=\"25853952\", alpha=\"0.19\", expect_size=\"12926976\"] \n  3 -> 44 [size =\"12926976\"]\n  4 [size=\"40863744\", alpha=\"0.13\", expect_size=\"20431872\"] \n  4 -> 44 [size =\"20431872\"]\n  5 [size=\"24088576\", alpha=\"0.18\", expect_size=\"12044288\"] \n  5 -> 44 [size =\"12044288\"]\n  6 [size=\"43417600\", alpha=\"0.05\", expect_size=\"21708800\"] \n  6 -> 44 [size =\"21708800\"]\n  7 [size=\"86773760\", alpha=\"0.15\", expect_size=\"43386880\"] \n  8 [size=\"20740096\", alpha=\"0.07\", expect_size=\"10370048\"] \n  9 [size=\"70146048\", alpha=\"0.13\", expect_size=\"35073024\"] \n  9 -> 44 [size =\"35073024\"]\n  9 -> 45 [size =\"35073024\"]\n  10 [size=\"66097152\", alpha=\"0.11\", expect_size=\"33048576\"] \n  10 -> 44 [size =\"33048576\"]\n  10 -> 45 [size =\"33048576\"]\n  11 [size=\"41781248\", alpha=\"0.07\", expect_size=\"20890624\"] \n  11 -> 45 [size =\"20890624\"]\n  12 [size=\"42688512\", alpha=\"0.17\", expect_size=\"21344256\"] \n  12 -> 44 [size =\"21344256\"]\n  13 [size=\"33875968\", alpha=\"0.19\", expect_size=\"16937984\"] \n  13 -> 44 [size =\"16937984\"]\n  14 [size=\"30646272\", alpha=\"0.09\", expect_size=\"15323136\"] \n  14 -> 44 [size =\"15323136\"]\n  15 [size=\"92958720\", alpha=\"0.11\", expect_size=\"46479360\"] \n  15 -> 44 [size =\"46479360\"]\n  16 [size=\"81979392\", alpha=\"0.03\", expect_size=\"40989696\"] \n  16 -> 45 [size =\"40989696\"]\n  17 [size=\"104689664\", alpha=\"0.00\", expect_size=\"52344832\"] \n  17 -> 45 [size =\"52344832\"]\n  18 [size=\"80547840\", alpha=\"0.01\", expect_size=\"40273920\"] \n  18 -> 44 [size =\"40273920\"]\n  18 -> 45 [size =\"40273920\"]\n  19 [size=\"19007488\", alpha=\"0.01\", expect_size=\"9503744\"] \n  19 -> 45 [size =\"9503744\"]\n  20 [size=\"78548992\", alpha=\"0.11\", expect_size=\"39274496\"] \n  20 -> 44 [size =\"39274496\"]\n  20 -> 45 [size =\"39274496\"]\n  21 [size=\"37652480\", alpha=\"0.01\", expect_size=\"18826240\"] \n  22 [size=\"71086080\", alpha=\"0.14\", expect_size=\"35543040\"] \n  23 [size=\"57354240\", alpha=\"0.10\", expect_size=\"28677120\"] \n  23 -> 44 [size =\"28677120\"]\n  24 [size=\"50534400\", alpha=\"0.13\", expect_size=\"25267200\"] \n  24 -> 44 [size =\"25267200\"]\n  25 [size=\"93220864\", alpha=\"0.19\", expect_size=\"46610432\"] \n  25 -> 44 [size =\"46610432\"]\n  25 -> 45 [size =\"46610432\"]\n  26 [size=\"49104896\", alpha=\"0.11\", expect_size=\"24552448\"] \n  26 -> 44 [size =\"24552448\"]\n  26 -> 45 [size =\"24552448\"]\n  27 [size=\"65357824\", alpha=\"0.20\", expect_size=\"32678912\"] \n  27 -> 45 [size =\"32678912\"]\n  28 [size=\"66637824\", alpha=\"0.11\", expect_size=\"33318912\"] \n  28 -> 44 [size =\"33318912\"]\n  29 [size=\"71391232\", alpha=\"0.14\", expect_size=\"35695616\"] \n  30 [size=\"75196416\", alpha=\"0.10\", expect_size=\"37598208\"] \n  30 -> 45 [size =\"37598208\"]\n  31 [size=\"32190464\", alpha=\"0.12\", expect_size=\"16095232\"] \n  32 [size=\"37359616\", alpha=\"0.00\", expect_size=\"18679808\"] \n  32 -> 45 [size =\"18679808\"]\n  33 [size=\"103897088\", alpha=\"0.14\", expect_size=\"51948544\"] \n  33 -> 44 [size =\"51948544\"]\n  33 -> 45 [size =\"51948544\"]\n  34 [size=\"58427392\", alpha=\"0.12\", expect_size=\"29213696\"] \n  34 -> 45 [size =\"29213696\"]\n  35 [size=\"25704448\", alpha=\"0.08\", expect_size=\"12852224\"] \n  35 -> 44 [size =\"12852224\"]\n  36 [size=\"19329024\", alpha=\"0.18\", expect_size=\"9664512\"] \n  36 -> 44 [size =\"9664512\"]\n  37 [size=\"72232960\", alpha=\"0.09\", expect_size=\"36116480\"] \n  37 -> 44 [size =\"36116480\"]\n  38 [size=\"71966720\", alpha=\"0.14\", expect_size=\"35983360\"] \n  38 -> 45 [size =\"35983360\"]\n  39 [size=\"28782592\", alpha=\"0.02\", expect_size=\"14391296\"] \n  40 [size=\"96714752\", alpha=\"0.03\", expect_size=\"48357376\"] \n  41 [size=\"48263168\", alpha=\"0.11\", expect_size=\"24131584\"] \n  42 [size=\"103464960\", alpha=\"0.11\", expect_size=\"51732480\"] \n  42 -> 44 [size =\"51732480\"]\n  43 [size=\"11409408\", alpha=\"0.01\", expect_size=\"5704704\"] \n  44 [size=\"78602240\", alpha=\"0.00\", expect_size=\"39301120\"] \n  45 [size=\"42090496\", alpha=\"0.16\", expect_size=\"21045248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103901867\", alpha=\"0.15\", expect_size=\"31170560\"] \n  1 -> 2 [size =\"31170560\"]\n  2 [size=\"165420373\", alpha=\"0.16\", expect_size=\"49626112\"] \n  2 -> 3 [size =\"49626112\"]\n  3 [size=\"160576853\", alpha=\"0.10\", expect_size=\"48173056\"] \n  3 -> 4 [size =\"48173056\"]\n  4 [size=\"61477547\", alpha=\"0.16\", expect_size=\"18443264\"] \n  4 -> 5 [size =\"18443264\"]\n  5 [size=\"73151147\", alpha=\"0.13\", expect_size=\"21945344\"] \n  5 -> 6 [size =\"21945344\"]\n  6 [size=\"32815787\", alpha=\"0.03\", expect_size=\"9844736\"] \n  6 -> 7 [size =\"9844736\"]\n  7 [size=\"82664107\", alpha=\"0.01\", expect_size=\"24799232\"] \n  7 -> 8 [size =\"24799232\"]\n  8 [size=\"114189653\", alpha=\"0.15\", expect_size=\"34256896\"] \n  8 -> 9 [size =\"34256896\"]\n  9 [size=\"67635200\", alpha=\"0.13\", expect_size=\"20290560\"] \n  9 -> 10 [size =\"20290560\"]\n  10 [size=\"98624853\", alpha=\"0.18\", expect_size=\"29587456\"] \n  10 -> 11 [size =\"29587456\"]\n  11 [size=\"172680533\", alpha=\"0.13\", expect_size=\"51804160\"] \n  11 -> 12 [size =\"51804160\"]\n  12 [size=\"130160640\", alpha=\"0.19\", expect_size=\"39048192\"] \n  12 -> 13 [size =\"39048192\"]\n  13 [size=\"100017493\", alpha=\"0.15\", expect_size=\"30005248\"] \n  13 -> 14 [size =\"30005248\"]\n  14 [size=\"17517227\", alpha=\"0.11\", expect_size=\"5255168\"] \n  14 -> 15 [size =\"5255168\"]\n  15 [size=\"143790080\", alpha=\"0.15\", expect_size=\"43137024\"] \n  15 -> 16 [size =\"43137024\"]\n  16 [size=\"87770453\", alpha=\"0.14\", expect_size=\"26331136\"] \n  16 -> 17 [size =\"26331136\"]\n  17 [size=\"110158507\", alpha=\"0.11\", expect_size=\"33047552\"] \n  17 -> 18 [size =\"33047552\"]\n  18 [size=\"121914027\", alpha=\"0.17\", expect_size=\"36574208\"] \n  18 -> 19 [size =\"36574208\"]\n  19 [size=\"80500053\", alpha=\"0.19\", expect_size=\"24150016\"] \n  19 -> 20 [size =\"24150016\"]\n  20 [size=\"25436160\", alpha=\"0.09\", expect_size=\"7630848\"] \n  20 -> 21 [size =\"7630848\"]\n  21 [size=\"167127040\", alpha=\"0.09\", expect_size=\"50138112\"] \n  21 -> 22 [size =\"50138112\"]\n  22 [size=\"114251093\", alpha=\"0.09\", expect_size=\"34275328\"] \n  22 -> 23 [size =\"34275328\"]\n  23 [size=\"109230080\", alpha=\"0.07\", expect_size=\"32769024\"] \n  23 -> 24 [size =\"32769024\"]\n  24 [size=\"68389547\", alpha=\"0.10\", expect_size=\"20516864\"] \n  24 -> 25 [size =\"20516864\"]\n  25 [size=\"151814827\", alpha=\"0.00\", expect_size=\"45544448\"] \n  25 -> 26 [size =\"45544448\"]\n  26 [size=\"108943360\", alpha=\"0.13\", expect_size=\"32683008\"] \n  26 -> 27 [size =\"32683008\"]\n  27 [size=\"60426240\", alpha=\"0.13\", expect_size=\"18127872\"] \n  27 -> 28 [size =\"18127872\"]\n  28 [size=\"145418240\", alpha=\"0.06\", expect_size=\"43625472\"] \n  28 -> 29 [size =\"43625472\"]\n  29 [size=\"123767467\", alpha=\"0.06\", expect_size=\"37130240\"] \n  29 -> 30 [size =\"37130240\"]\n  30 [size=\"114251093\", alpha=\"0.15\", expect_size=\"34275328\"] \n  30 -> 31 [size =\"34275328\"]\n  31 [size=\"24166400\", alpha=\"0.05\", expect_size=\"7249920\"] \n  31 -> 32 [size =\"7249920\"]\n  32 [size=\"97235627\", alpha=\"0.09\", expect_size=\"29170688\"] \n  32 -> 33 [size =\"29170688\"]\n  33 [size=\"166823253\", alpha=\"0.03\", expect_size=\"50046976\"] \n  33 -> 34 [size =\"50046976\"]\n  34 [size=\"61467307\", alpha=\"0.17\", expect_size=\"18440192\"] \n  34 -> 35 [size =\"18440192\"]\n  35 [size=\"139738453\", alpha=\"0.07\", expect_size=\"41921536\"] \n  35 -> 36 [size =\"41921536\"]\n  36 [size=\"142742187\", alpha=\"0.07\", expect_size=\"42822656\"] \n  36 -> 37 [size =\"42822656\"]\n  37 [size=\"85818027\", alpha=\"0.18\", expect_size=\"25745408\"] \n  37 -> 38 [size =\"25745408\"]\n  38 [size=\"34157227\", alpha=\"0.02\", expect_size=\"10247168\"] \n  38 -> 39 [size =\"10247168\"]\n  39 [size=\"84476587\", alpha=\"0.14\", expect_size=\"25342976\"] \n  39 -> 40 [size =\"25342976\"]\n  40 [size=\"129648640\", alpha=\"0.07\", expect_size=\"38894592\"] \n  40 -> 41 [size =\"38894592\"]\n  41 [size=\"93538987\", alpha=\"0.20\", expect_size=\"28061696\"] \n  41 -> 42 [size =\"28061696\"]\n  42 [size=\"131348480\", alpha=\"0.04\", expect_size=\"39404544\"] \n  42 -> 43 [size =\"39404544\"]\n  43 [size=\"41195520\", alpha=\"0.01\", expect_size=\"12358656\"] \n  43 -> 44 [size =\"12358656\"]\n  44 [size=\"62904320\", alpha=\"0.04\", expect_size=\"18871296\"] \n  44 -> 45 [size =\"18871296\"]\n  45 [size=\"39236267\", alpha=\"0.03\", expect_size=\"11770880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78768128\", alpha=\"0.15\", expect_size=\"39384064\"] \n  1 -> 42 [size =\"39384064\"]\n  1 -> 44 [size =\"39384064\"]\n  2 [size=\"60594176\", alpha=\"0.02\", expect_size=\"30297088\"] \n  2 -> 42 [size =\"30297088\"]\n  2 -> 43 [size =\"30297088\"]\n  2 -> 44 [size =\"30297088\"]\n  2 -> 45 [size =\"30297088\"]\n  3 [size=\"94885888\", alpha=\"0.10\", expect_size=\"47442944\"] \n  3 -> 42 [size =\"47442944\"]\n  3 -> 43 [size =\"47442944\"]\n  4 [size=\"103067648\", alpha=\"0.08\", expect_size=\"51533824\"] \n  4 -> 43 [size =\"51533824\"]\n  4 -> 43 [size =\"51533824\"]\n  5 [size=\"22235136\", alpha=\"0.12\", expect_size=\"11117568\"] \n  5 -> 44 [size =\"11117568\"]\n  6 [size=\"50386944\", alpha=\"0.08\", expect_size=\"25193472\"] \n  6 -> 42 [size =\"25193472\"]\n  7 [size=\"68804608\", alpha=\"0.01\", expect_size=\"34402304\"] \n  8 [size=\"68734976\", alpha=\"0.06\", expect_size=\"34367488\"] \n  8 -> 42 [size =\"34367488\"]\n  9 [size=\"10485760\", alpha=\"0.01\", expect_size=\"5242880\"] \n  9 -> 43 [size =\"5242880\"]\n  10 [size=\"93425664\", alpha=\"0.18\", expect_size=\"46712832\"] \n  10 -> 43 [size =\"46712832\"]\n  11 [size=\"36900864\", alpha=\"0.10\", expect_size=\"18450432\"] \n  11 -> 42 [size =\"18450432\"]\n  12 [size=\"13613056\", alpha=\"0.09\", expect_size=\"6806528\"] \n  12 -> 43 [size =\"6806528\"]\n  13 [size=\"22626304\", alpha=\"0.17\", expect_size=\"11313152\"] \n  14 [size=\"71131136\", alpha=\"0.20\", expect_size=\"35565568\"] \n  14 -> 45 [size =\"35565568\"]\n  15 [size=\"12566528\", alpha=\"0.18\", expect_size=\"6283264\"] \n  15 -> 42 [size =\"6283264\"]\n  15 -> 43 [size =\"6283264\"]\n  15 -> 44 [size =\"6283264\"]\n  16 [size=\"71479296\", alpha=\"0.17\", expect_size=\"35739648\"] \n  16 -> 42 [size =\"35739648\"]\n  16 -> 44 [size =\"35739648\"]\n  17 [size=\"15292416\", alpha=\"0.08\", expect_size=\"7646208\"] \n  17 -> 44 [size =\"7646208\"]\n  18 [size=\"22368256\", alpha=\"0.08\", expect_size=\"11184128\"] \n  18 -> 43 [size =\"11184128\"]\n  18 -> 45 [size =\"11184128\"]\n  19 [size=\"49551360\", alpha=\"0.04\", expect_size=\"24775680\"] \n  19 -> 42 [size =\"24775680\"]\n  20 [size=\"52189184\", alpha=\"0.04\", expect_size=\"26094592\"] \n  20 -> 42 [size =\"26094592\"]\n  20 -> 43 [size =\"26094592\"]\n  21 [size=\"42921984\", alpha=\"0.18\", expect_size=\"21460992\"] \n  21 -> 42 [size =\"21460992\"]\n  22 [size=\"87781376\", alpha=\"0.03\", expect_size=\"43890688\"] \n  22 -> 44 [size =\"43890688\"]\n  23 [size=\"33634304\", alpha=\"0.06\", expect_size=\"16817152\"] \n  23 -> 43 [size =\"16817152\"]\n  23 -> 45 [size =\"16817152\"]\n  24 [size=\"19105792\", alpha=\"0.09\", expect_size=\"9552896\"] \n  24 -> 42 [size =\"9552896\"]\n  25 [size=\"17725440\", alpha=\"0.14\", expect_size=\"8862720\"] \n  26 [size=\"104134656\", alpha=\"0.07\", expect_size=\"52067328\"] \n  26 -> 43 [size =\"52067328\"]\n  27 [size=\"89249792\", alpha=\"0.13\", expect_size=\"44624896\"] \n  28 [size=\"34299904\", alpha=\"0.12\", expect_size=\"17149952\"] \n  28 -> 44 [size =\"17149952\"]\n  29 [size=\"71471104\", alpha=\"0.10\", expect_size=\"35735552\"] \n  30 [size=\"89524224\", alpha=\"0.06\", expect_size=\"44762112\"] \n  31 [size=\"13109248\", alpha=\"0.07\", expect_size=\"6554624\"] \n  32 [size=\"99252224\", alpha=\"0.09\", expect_size=\"49626112\"] \n  33 [size=\"20576256\", alpha=\"0.14\", expect_size=\"10288128\"] \n  33 -> 44 [size =\"10288128\"]\n  34 [size=\"50229248\", alpha=\"0.11\", expect_size=\"25114624\"] \n  34 -> 42 [size =\"25114624\"]\n  34 -> 44 [size =\"25114624\"]\n  35 [size=\"92045312\", alpha=\"0.09\", expect_size=\"46022656\"] \n  35 -> 42 [size =\"46022656\"]\n  35 -> 43 [size =\"46022656\"]\n  35 -> 44 [size =\"46022656\"]\n  36 [size=\"63408128\", alpha=\"0.00\", expect_size=\"31704064\"] \n  36 -> 42 [size =\"31704064\"]\n  36 -> 44 [size =\"31704064\"]\n  37 [size=\"98586624\", alpha=\"0.12\", expect_size=\"49293312\"] \n  37 -> 43 [size =\"49293312\"]\n  37 -> 44 [size =\"49293312\"]\n  38 [size=\"67158016\", alpha=\"0.06\", expect_size=\"33579008\"] \n  38 -> 42 [size =\"33579008\"]\n  39 [size=\"27375616\", alpha=\"0.09\", expect_size=\"13687808\"] \n  40 [size=\"73609216\", alpha=\"0.00\", expect_size=\"36804608\"] \n  41 [size=\"100057088\", alpha=\"0.19\", expect_size=\"50028544\"] \n  41 -> 44 [size =\"50028544\"]\n  42 [size=\"38762496\", alpha=\"0.14\", expect_size=\"19381248\"] \n  43 [size=\"81600512\", alpha=\"0.13\", expect_size=\"40800256\"] \n  44 [size=\"51968000\", alpha=\"0.15\", expect_size=\"25984000\"] \n  45 [size=\"10510336\", alpha=\"0.18\", expect_size=\"5255168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16829440\", alpha=\"0.09\", expect_size=\"6731776\"] \n  2 [size=\"128872960\", alpha=\"0.07\", expect_size=\"51549184\"] \n  2 -> 9 [size =\"51549184\"]\n  2 -> 10 [size =\"51549184\"]\n  3 [size=\"129359360\", alpha=\"0.16\", expect_size=\"51743744\"] \n  3 -> 7 [size =\"51743744\"]\n  3 -> 10 [size =\"51743744\"]\n  4 [size=\"39756800\", alpha=\"0.04\", expect_size=\"15902720\"] \n  5 [size=\"69452800\", alpha=\"0.09\", expect_size=\"27781120\"] \n  5 -> 8 [size =\"27781120\"]\n  5 -> 10 [size =\"27781120\"]\n  6 [size=\"100756480\", alpha=\"0.14\", expect_size=\"40302592\"] \n  7 [size=\"96680960\", alpha=\"0.14\", expect_size=\"38672384\"] \n  7 -> 11 [size =\"38672384\"]\n  7 -> 13 [size =\"38672384\"]\n  8 [size=\"48250880\", alpha=\"0.01\", expect_size=\"19300352\"] \n  8 -> 14 [size =\"19300352\"]\n  9 [size=\"73300480\", alpha=\"0.10\", expect_size=\"29320192\"] \n  9 -> 12 [size =\"29320192\"]\n  9 -> 14 [size =\"29320192\"]\n  10 [size=\"34506240\", alpha=\"0.11\", expect_size=\"13802496\"] \n  10 -> 13 [size =\"13802496\"]\n  11 [size=\"44766720\", alpha=\"0.07\", expect_size=\"17906688\"] \n  11 -> 17 [size =\"17906688\"]\n  11 -> 18 [size =\"17906688\"]\n  12 [size=\"96593920\", alpha=\"0.19\", expect_size=\"38637568\"] \n  12 -> 15 [size =\"38637568\"]\n  13 [size=\"19486720\", alpha=\"0.18\", expect_size=\"7794688\"] \n  13 -> 15 [size =\"7794688\"]\n  13 -> 16 [size =\"7794688\"]\n  13 -> 17 [size =\"7794688\"]\n  13 -> 18 [size =\"7794688\"]\n  14 [size=\"114959360\", alpha=\"0.03\", expect_size=\"45983744\"] \n  15 [size=\"18168320\", alpha=\"0.20\", expect_size=\"7267328\"] \n  15 -> 21 [size =\"7267328\"]\n  16 [size=\"68902400\", alpha=\"0.08\", expect_size=\"27560960\"] \n  16 -> 19 [size =\"27560960\"]\n  16 -> 21 [size =\"27560960\"]\n  16 -> 22 [size =\"27560960\"]\n  17 [size=\"31408640\", alpha=\"0.18\", expect_size=\"12563456\"] \n  17 -> 20 [size =\"12563456\"]\n  17 -> 23 [size =\"12563456\"]\n  17 -> 24 [size =\"12563456\"]\n  18 [size=\"116764160\", alpha=\"0.13\", expect_size=\"46705664\"] \n  18 -> 22 [size =\"46705664\"]\n  18 -> 24 [size =\"46705664\"]\n  19 [size=\"122777600\", alpha=\"0.20\", expect_size=\"49111040\"] \n  19 -> 25 [size =\"49111040\"]\n  19 -> 28 [size =\"49111040\"]\n  20 [size=\"66383360\", alpha=\"0.10\", expect_size=\"26553344\"] \n  20 -> 25 [size =\"26553344\"]\n  20 -> 26 [size =\"26553344\"]\n  20 -> 27 [size =\"26553344\"]\n  20 -> 29 [size =\"26553344\"]\n  21 [size=\"128358400\", alpha=\"0.02\", expect_size=\"51343360\"] \n  21 -> 26 [size =\"51343360\"]\n  21 -> 26 [size =\"51343360\"]\n  21 -> 27 [size =\"51343360\"]\n  22 [size=\"49082880\", alpha=\"0.13\", expect_size=\"19633152\"] \n  22 -> 29 [size =\"19633152\"]\n  23 [size=\"41200640\", alpha=\"0.03\", expect_size=\"16480256\"] \n  24 [size=\"27240960\", alpha=\"0.18\", expect_size=\"10896384\"] \n  24 -> 29 [size =\"10896384\"]\n  25 [size=\"43880960\", alpha=\"0.03\", expect_size=\"17552384\"] \n  25 -> 30 [size =\"17552384\"]\n  25 -> 31 [size =\"17552384\"]\n  25 -> 34 [size =\"17552384\"]\n  26 [size=\"43502080\", alpha=\"0.03\", expect_size=\"17400832\"] \n  26 -> 30 [size =\"17400832\"]\n  26 -> 33 [size =\"17400832\"]\n  26 -> 35 [size =\"17400832\"]\n  27 [size=\"92103680\", alpha=\"0.16\", expect_size=\"36841472\"] \n  27 -> 30 [size =\"36841472\"]\n  27 -> 32 [size =\"36841472\"]\n  27 -> 33 [size =\"36841472\"]\n  27 -> 35 [size =\"36841472\"]\n  28 [size=\"81909760\", alpha=\"0.16\", expect_size=\"32763904\"] \n  28 -> 36 [size =\"32763904\"]\n  29 [size=\"39626240\", alpha=\"0.06\", expect_size=\"15850496\"] \n  29 -> 33 [size =\"15850496\"]\n  29 -> 34 [size =\"15850496\"]\n  29 -> 36 [size =\"15850496\"]\n  30 [size=\"38440960\", alpha=\"0.20\", expect_size=\"15376384\"] \n  30 -> 37 [size =\"15376384\"]\n  30 -> 38 [size =\"15376384\"]\n  31 [size=\"100106240\", alpha=\"0.18\", expect_size=\"40042496\"] \n  31 -> 37 [size =\"40042496\"]\n  31 -> 38 [size =\"40042496\"]\n  32 [size=\"110384640\", alpha=\"0.11\", expect_size=\"44153856\"] \n  32 -> 37 [size =\"44153856\"]\n  33 [size=\"67077120\", alpha=\"0.06\", expect_size=\"26830848\"] \n  33 -> 37 [size =\"26830848\"]\n  34 [size=\"86438400\", alpha=\"0.17\", expect_size=\"34575360\"] \n  34 -> 39 [size =\"34575360\"]\n  34 -> 40 [size =\"34575360\"]\n  35 [size=\"77153280\", alpha=\"0.09\", expect_size=\"30861312\"] \n  35 -> 38 [size =\"30861312\"]\n  35 -> 40 [size =\"30861312\"]\n  36 [size=\"95569920\", alpha=\"0.11\", expect_size=\"38227968\"] \n  36 -> 38 [size =\"38227968\"]\n  36 -> 40 [size =\"38227968\"]\n  37 [size=\"111372800\", alpha=\"0.16\", expect_size=\"44549120\"] \n  37 -> 41 [size =\"44549120\"]\n  38 [size=\"90170880\", alpha=\"0.18\", expect_size=\"36068352\"] \n  39 [size=\"67115520\", alpha=\"0.19\", expect_size=\"26846208\"] \n  39 -> 42 [size =\"26846208\"]\n  40 [size=\"102394880\", alpha=\"0.09\", expect_size=\"40957952\"] \n  40 -> 43 [size =\"40957952\"]\n  41 [size=\"99448320\", alpha=\"0.19\", expect_size=\"39779328\"] \n  41 -> 44 [size =\"39779328\"]\n  42 [size=\"89937920\", alpha=\"0.14\", expect_size=\"35975168\"] \n  42 -> 45 [size =\"35975168\"]\n  43 [size=\"39385600\", alpha=\"0.15\", expect_size=\"15754240\"] \n  43 -> 45 [size =\"15754240\"]\n  44 [size=\"72138240\", alpha=\"0.18\", expect_size=\"28855296\"] \n  45 [size=\"54120960\", alpha=\"0.06\", expect_size=\"21648384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35082240\", alpha=\"0.01\", expect_size=\"10524672\"] \n  1 -> 11 [size =\"10524672\"]\n  2 [size=\"115510613\", alpha=\"0.12\", expect_size=\"34653184\"] \n  2 -> 8 [size =\"34653184\"]\n  3 [size=\"30754133\", alpha=\"0.17\", expect_size=\"9226240\"] \n  3 -> 9 [size =\"9226240\"]\n  3 -> 10 [size =\"9226240\"]\n  4 [size=\"170349227\", alpha=\"0.11\", expect_size=\"51104768\"] \n  4 -> 6 [size =\"51104768\"]\n  4 -> 7 [size =\"51104768\"]\n  4 -> 8 [size =\"51104768\"]\n  5 [size=\"158675627\", alpha=\"0.07\", expect_size=\"47602688\"] \n  5 -> 11 [size =\"47602688\"]\n  6 [size=\"110260907\", alpha=\"0.14\", expect_size=\"33078272\"] \n  6 -> 12 [size =\"33078272\"]\n  6 -> 14 [size =\"33078272\"]\n  7 [size=\"147186347\", alpha=\"0.08\", expect_size=\"44155904\"] \n  7 -> 13 [size =\"44155904\"]\n  7 -> 14 [size =\"44155904\"]\n  7 -> 15 [size =\"44155904\"]\n  8 [size=\"114472960\", alpha=\"0.14\", expect_size=\"34341888\"] \n  8 -> 12 [size =\"34341888\"]\n  9 [size=\"43622400\", alpha=\"0.11\", expect_size=\"13086720\"] \n  9 -> 12 [size =\"13086720\"]\n  9 -> 16 [size =\"13086720\"]\n  10 [size=\"119876267\", alpha=\"0.09\", expect_size=\"35962880\"] \n  10 -> 12 [size =\"35962880\"]\n  10 -> 13 [size =\"35962880\"]\n  11 [size=\"83729067\", alpha=\"0.04\", expect_size=\"25118720\"] \n  11 -> 13 [size =\"25118720\"]\n  12 [size=\"90862933\", alpha=\"0.08\", expect_size=\"27258880\"] \n  12 -> 20 [size =\"27258880\"]\n  12 -> 21 [size =\"27258880\"]\n  12 -> 22 [size =\"27258880\"]\n  13 [size=\"24627200\", alpha=\"0.04\", expect_size=\"7388160\"] \n  13 -> 19 [size =\"7388160\"]\n  13 -> 21 [size =\"7388160\"]\n  13 -> 22 [size =\"7388160\"]\n  14 [size=\"157003093\", alpha=\"0.07\", expect_size=\"47100928\"] \n  14 -> 17 [size =\"47100928\"]\n  14 -> 18 [size =\"47100928\"]\n  14 -> 20 [size =\"47100928\"]\n  15 [size=\"84869120\", alpha=\"0.13\", expect_size=\"25460736\"] \n  15 -> 18 [size =\"25460736\"]\n  15 -> 22 [size =\"25460736\"]\n  16 [size=\"143660373\", alpha=\"0.11\", expect_size=\"43098112\"] \n  16 -> 18 [size =\"43098112\"]\n  16 -> 20 [size =\"43098112\"]\n  17 [size=\"95006720\", alpha=\"0.12\", expect_size=\"28502016\"] \n  17 -> 24 [size =\"28502016\"]\n  17 -> 25 [size =\"28502016\"]\n  17 -> 26 [size =\"28502016\"]\n  18 [size=\"154920960\", alpha=\"0.01\", expect_size=\"46476288\"] \n  18 -> 24 [size =\"46476288\"]\n  18 -> 26 [size =\"46476288\"]\n  19 [size=\"105417387\", alpha=\"0.19\", expect_size=\"31625216\"] \n  19 -> 23 [size =\"31625216\"]\n  19 -> 26 [size =\"31625216\"]\n  20 [size=\"32392533\", alpha=\"0.15\", expect_size=\"9717760\"] \n  20 -> 27 [size =\"9717760\"]\n  21 [size=\"99478187\", alpha=\"0.13\", expect_size=\"29843456\"] \n  21 -> 24 [size =\"29843456\"]\n  22 [size=\"127822507\", alpha=\"0.03\", expect_size=\"38346752\"] \n  22 -> 24 [size =\"38346752\"]\n  22 -> 25 [size =\"38346752\"]\n  22 -> 26 [size =\"38346752\"]\n  23 [size=\"36468053\", alpha=\"0.15\", expect_size=\"10940416\"] \n  23 -> 28 [size =\"10940416\"]\n  23 -> 30 [size =\"10940416\"]\n  23 -> 31 [size =\"10940416\"]\n  23 -> 33 [size =\"10940416\"]\n  24 [size=\"65006933\", alpha=\"0.07\", expect_size=\"19502080\"] \n  24 -> 30 [size =\"19502080\"]\n  24 -> 32 [size =\"19502080\"]\n  25 [size=\"123750400\", alpha=\"0.17\", expect_size=\"37125120\"] \n  25 -> 33 [size =\"37125120\"]\n  26 [size=\"69829973\", alpha=\"0.18\", expect_size=\"20948992\"] \n  26 -> 28 [size =\"20948992\"]\n  26 -> 29 [size =\"20948992\"]\n  26 -> 31 [size =\"20948992\"]\n  27 [size=\"155009707\", alpha=\"0.16\", expect_size=\"46502912\"] \n  27 -> 31 [size =\"46502912\"]\n  28 [size=\"93504853\", alpha=\"0.06\", expect_size=\"28051456\"] \n  28 -> 38 [size =\"28051456\"]\n  29 [size=\"102584320\", alpha=\"0.20\", expect_size=\"30775296\"] \n  29 -> 35 [size =\"30775296\"]\n  29 -> 36 [size =\"30775296\"]\n  30 [size=\"92781227\", alpha=\"0.06\", expect_size=\"27834368\"] \n  31 [size=\"50046293\", alpha=\"0.01\", expect_size=\"15013888\"] \n  31 -> 34 [size =\"15013888\"]\n  31 -> 37 [size =\"15013888\"]\n  31 -> 39 [size =\"15013888\"]\n  32 [size=\"149271893\", alpha=\"0.06\", expect_size=\"44781568\"] \n  32 -> 35 [size =\"44781568\"]\n  32 -> 37 [size =\"44781568\"]\n  33 [size=\"173922987\", alpha=\"0.11\", expect_size=\"52176896\"] \n  33 -> 34 [size =\"52176896\"]\n  33 -> 35 [size =\"52176896\"]\n  34 [size=\"137280853\", alpha=\"0.14\", expect_size=\"41184256\"] \n  34 -> 42 [size =\"41184256\"]\n  34 -> 43 [size =\"41184256\"]\n  34 -> 45 [size =\"41184256\"]\n  35 [size=\"34932053\", alpha=\"0.05\", expect_size=\"10479616\"] \n  35 -> 40 [size =\"10479616\"]\n  35 -> 41 [size =\"10479616\"]\n  35 -> 45 [size =\"10479616\"]\n  36 [size=\"165365760\", alpha=\"0.13\", expect_size=\"49609728\"] \n  36 -> 45 [size =\"49609728\"]\n  37 [size=\"149507413\", alpha=\"0.10\", expect_size=\"44852224\"] \n  37 -> 42 [size =\"44852224\"]\n  37 -> 44 [size =\"44852224\"]\n  37 -> 45 [size =\"44852224\"]\n  38 [size=\"117070507\", alpha=\"0.05\", expect_size=\"35121152\"] \n  38 -> 42 [size =\"35121152\"]\n  38 -> 43 [size =\"35121152\"]\n  38 -> 44 [size =\"35121152\"]\n  39 [size=\"165051733\", alpha=\"0.11\", expect_size=\"49515520\"] \n  39 -> 41 [size =\"49515520\"]\n  39 -> 42 [size =\"49515520\"]\n  39 -> 43 [size =\"49515520\"]\n  39 -> 44 [size =\"49515520\"]\n  40 [size=\"162310827\", alpha=\"0.19\", expect_size=\"48693248\"] \n  41 [size=\"53964800\", alpha=\"0.18\", expect_size=\"16189440\"] \n  42 [size=\"63549440\", alpha=\"0.10\", expect_size=\"19064832\"] \n  43 [size=\"107171840\", alpha=\"0.05\", expect_size=\"32151552\"] \n  44 [size=\"34689707\", alpha=\"0.06\", expect_size=\"10406912\"] \n  45 [size=\"142926507\", alpha=\"0.01\", expect_size=\"42877952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113669120\", alpha=\"0.12\", expect_size=\"45467648\"] \n  1 -> 18 [size =\"45467648\"]\n  1 -> 18 [size =\"45467648\"]\n  1 -> 20 [size =\"45467648\"]\n  1 -> 22 [size =\"45467648\"]\n  1 -> 22 [size =\"45467648\"]\n  1 -> 23 [size =\"45467648\"]\n  1 -> 24 [size =\"45467648\"]\n  2 [size=\"55552000\", alpha=\"0.08\", expect_size=\"22220800\"] \n  2 -> 15 [size =\"22220800\"]\n  2 -> 17 [size =\"22220800\"]\n  2 -> 18 [size =\"22220800\"]\n  2 -> 19 [size =\"22220800\"]\n  2 -> 20 [size =\"22220800\"]\n  2 -> 22 [size =\"22220800\"]\n  3 [size=\"20643840\", alpha=\"0.11\", expect_size=\"8257536\"] \n  3 -> 15 [size =\"8257536\"]\n  3 -> 17 [size =\"8257536\"]\n  3 -> 18 [size =\"8257536\"]\n  3 -> 20 [size =\"8257536\"]\n  3 -> 20 [size =\"8257536\"]\n  3 -> 22 [size =\"8257536\"]\n  4 [size=\"34585600\", alpha=\"0.04\", expect_size=\"13834240\"] \n  4 -> 17 [size =\"13834240\"]\n  4 -> 17 [size =\"13834240\"]\n  4 -> 18 [size =\"13834240\"]\n  4 -> 19 [size =\"13834240\"]\n  4 -> 20 [size =\"13834240\"]\n  4 -> 21 [size =\"13834240\"]\n  4 -> 22 [size =\"13834240\"]\n  5 [size=\"96225280\", alpha=\"0.12\", expect_size=\"38490112\"] \n  5 -> 18 [size =\"38490112\"]\n  5 -> 19 [size =\"38490112\"]\n  5 -> 20 [size =\"38490112\"]\n  5 -> 21 [size =\"38490112\"]\n  5 -> 22 [size =\"38490112\"]\n  5 -> 23 [size =\"38490112\"]\n  5 -> 25 [size =\"38490112\"]\n  6 [size=\"115143680\", alpha=\"0.18\", expect_size=\"46057472\"] \n  6 -> 16 [size =\"46057472\"]\n  6 -> 18 [size =\"46057472\"]\n  6 -> 19 [size =\"46057472\"]\n  6 -> 20 [size =\"46057472\"]\n  6 -> 22 [size =\"46057472\"]\n  6 -> 25 [size =\"46057472\"]\n  7 [size=\"46085120\", alpha=\"0.17\", expect_size=\"18434048\"] \n  7 -> 21 [size =\"18434048\"]\n  8 [size=\"30771200\", alpha=\"0.19\", expect_size=\"12308480\"] \n  8 -> 18 [size =\"12308480\"]\n  8 -> 20 [size =\"12308480\"]\n  8 -> 22 [size =\"12308480\"]\n  8 -> 23 [size =\"12308480\"]\n  8 -> 25 [size =\"12308480\"]\n  9 [size=\"20992000\", alpha=\"0.14\", expect_size=\"8396800\"] \n  9 -> 16 [size =\"8396800\"]\n  9 -> 21 [size =\"8396800\"]\n  9 -> 22 [size =\"8396800\"]\n  10 [size=\"82516480\", alpha=\"0.14\", expect_size=\"33006592\"] \n  10 -> 16 [size =\"33006592\"]\n  10 -> 19 [size =\"33006592\"]\n  10 -> 21 [size =\"33006592\"]\n  10 -> 22 [size =\"33006592\"]\n  10 -> 23 [size =\"33006592\"]\n  11 [size=\"81479680\", alpha=\"0.01\", expect_size=\"32591872\"] \n  11 -> 18 [size =\"32591872\"]\n  11 -> 20 [size =\"32591872\"]\n  11 -> 21 [size =\"32591872\"]\n  11 -> 22 [size =\"32591872\"]\n  11 -> 26 [size =\"32591872\"]\n  12 [size=\"35893760\", alpha=\"0.16\", expect_size=\"14357504\"] \n  12 -> 18 [size =\"14357504\"]\n  12 -> 19 [size =\"14357504\"]\n  12 -> 20 [size =\"14357504\"]\n  12 -> 21 [size =\"14357504\"]\n  12 -> 24 [size =\"14357504\"]\n  13 [size=\"85895680\", alpha=\"0.15\", expect_size=\"34358272\"] \n  13 -> 15 [size =\"34358272\"]\n  13 -> 18 [size =\"34358272\"]\n  13 -> 20 [size =\"34358272\"]\n  13 -> 21 [size =\"34358272\"]\n  13 -> 22 [size =\"34358272\"]\n  13 -> 23 [size =\"34358272\"]\n  14 [size=\"31941120\", alpha=\"0.06\", expect_size=\"12776448\"] \n  14 -> 15 [size =\"12776448\"]\n  14 -> 18 [size =\"12776448\"]\n  14 -> 19 [size =\"12776448\"]\n  14 -> 20 [size =\"12776448\"]\n  14 -> 22 [size =\"12776448\"]\n  14 -> 25 [size =\"12776448\"]\n  15 [size=\"53498880\", alpha=\"0.06\", expect_size=\"21399552\"] \n  15 -> 27 [size =\"21399552\"]\n  15 -> 31 [size =\"21399552\"]\n  15 -> 33 [size =\"21399552\"]\n  15 -> 34 [size =\"21399552\"]\n  15 -> 35 [size =\"21399552\"]\n  15 -> 36 [size =\"21399552\"]\n  16 [size=\"121914880\", alpha=\"0.17\", expect_size=\"48765952\"] \n  16 -> 27 [size =\"48765952\"]\n  16 -> 29 [size =\"48765952\"]\n  16 -> 34 [size =\"48765952\"]\n  17 [size=\"109404160\", alpha=\"0.04\", expect_size=\"43761664\"] \n  17 -> 27 [size =\"43761664\"]\n  17 -> 32 [size =\"43761664\"]\n  18 [size=\"91187200\", alpha=\"0.09\", expect_size=\"36474880\"] \n  18 -> 27 [size =\"36474880\"]\n  18 -> 31 [size =\"36474880\"]\n  18 -> 32 [size =\"36474880\"]\n  18 -> 33 [size =\"36474880\"]\n  19 [size=\"86548480\", alpha=\"0.13\", expect_size=\"34619392\"] \n  19 -> 28 [size =\"34619392\"]\n  19 -> 31 [size =\"34619392\"]\n  19 -> 32 [size =\"34619392\"]\n  19 -> 33 [size =\"34619392\"]\n  19 -> 34 [size =\"34619392\"]\n  20 [size=\"49182720\", alpha=\"0.06\", expect_size=\"19673088\"] \n  20 -> 28 [size =\"19673088\"]\n  20 -> 30 [size =\"19673088\"]\n  20 -> 32 [size =\"19673088\"]\n  20 -> 33 [size =\"19673088\"]\n  20 -> 34 [size =\"19673088\"]\n  21 [size=\"16130560\", alpha=\"0.15\", expect_size=\"6452224\"] \n  21 -> 28 [size =\"6452224\"]\n  21 -> 31 [size =\"6452224\"]\n  21 -> 32 [size =\"6452224\"]\n  21 -> 34 [size =\"6452224\"]\n  21 -> 36 [size =\"6452224\"]\n  22 [size=\"24640000\", alpha=\"0.12\", expect_size=\"9856000\"] \n  22 -> 28 [size =\"9856000\"]\n  22 -> 30 [size =\"9856000\"]\n  22 -> 31 [size =\"9856000\"]\n  22 -> 32 [size =\"9856000\"]\n  22 -> 34 [size =\"9856000\"]\n  23 [size=\"118420480\", alpha=\"0.10\", expect_size=\"47368192\"] \n  23 -> 31 [size =\"47368192\"]\n  23 -> 32 [size =\"47368192\"]\n  23 -> 34 [size =\"47368192\"]\n  24 [size=\"87974400\", alpha=\"0.11\", expect_size=\"35189760\"] \n  24 -> 27 [size =\"35189760\"]\n  24 -> 28 [size =\"35189760\"]\n  24 -> 30 [size =\"35189760\"]\n  24 -> 31 [size =\"35189760\"]\n  24 -> 32 [size =\"35189760\"]\n  24 -> 34 [size =\"35189760\"]\n  25 [size=\"124449280\", alpha=\"0.07\", expect_size=\"49779712\"] \n  25 -> 28 [size =\"49779712\"]\n  25 -> 29 [size =\"49779712\"]\n  25 -> 30 [size =\"49779712\"]\n  25 -> 31 [size =\"49779712\"]\n  25 -> 32 [size =\"49779712\"]\n  25 -> 33 [size =\"49779712\"]\n  25 -> 34 [size =\"49779712\"]\n  26 [size=\"42959360\", alpha=\"0.20\", expect_size=\"17183744\"] \n  26 -> 27 [size =\"17183744\"]\n  26 -> 30 [size =\"17183744\"]\n  26 -> 32 [size =\"17183744\"]\n  26 -> 34 [size =\"17183744\"]\n  27 [size=\"25377280\", alpha=\"0.18\", expect_size=\"10150912\"] \n  27 -> 39 [size =\"10150912\"]\n  27 -> 40 [size =\"10150912\"]\n  27 -> 41 [size =\"10150912\"]\n  27 -> 43 [size =\"10150912\"]\n  27 -> 45 [size =\"10150912\"]\n  28 [size=\"46863360\", alpha=\"0.20\", expect_size=\"18745344\"] \n  28 -> 38 [size =\"18745344\"]\n  28 -> 41 [size =\"18745344\"]\n  28 -> 43 [size =\"18745344\"]\n  28 -> 45 [size =\"18745344\"]\n  28 -> 45 [size =\"18745344\"]\n  29 [size=\"97011200\", alpha=\"0.03\", expect_size=\"38804480\"] \n  29 -> 41 [size =\"38804480\"]\n  29 -> 43 [size =\"38804480\"]\n  29 -> 44 [size =\"38804480\"]\n  29 -> 45 [size =\"38804480\"]\n  30 [size=\"57832960\", alpha=\"0.17\", expect_size=\"23133184\"] \n  30 -> 37 [size =\"23133184\"]\n  30 -> 38 [size =\"23133184\"]\n  30 -> 40 [size =\"23133184\"]\n  30 -> 43 [size =\"23133184\"]\n  30 -> 44 [size =\"23133184\"]\n  31 [size=\"91571200\", alpha=\"0.03\", expect_size=\"36628480\"] \n  31 -> 41 [size =\"36628480\"]\n  31 -> 43 [size =\"36628480\"]\n  31 -> 44 [size =\"36628480\"]\n  31 -> 45 [size =\"36628480\"]\n  32 [size=\"62853120\", alpha=\"0.13\", expect_size=\"25141248\"] \n  32 -> 40 [size =\"25141248\"]\n  32 -> 43 [size =\"25141248\"]\n  32 -> 44 [size =\"25141248\"]\n  32 -> 45 [size =\"25141248\"]\n  33 [size=\"14126080\", alpha=\"0.16\", expect_size=\"5650432\"] \n  33 -> 37 [size =\"5650432\"]\n  33 -> 40 [size =\"5650432\"]\n  33 -> 41 [size =\"5650432\"]\n  33 -> 43 [size =\"5650432\"]\n  33 -> 44 [size =\"5650432\"]\n  34 [size=\"70896640\", alpha=\"0.01\", expect_size=\"28358656\"] \n  34 -> 37 [size =\"28358656\"]\n  34 -> 41 [size =\"28358656\"]\n  34 -> 41 [size =\"28358656\"]\n  34 -> 43 [size =\"28358656\"]\n  34 -> 44 [size =\"28358656\"]\n  35 [size=\"18708480\", alpha=\"0.14\", expect_size=\"7483392\"] \n  35 -> 41 [size =\"7483392\"]\n  35 -> 42 [size =\"7483392\"]\n  35 -> 43 [size =\"7483392\"]\n  35 -> 44 [size =\"7483392\"]\n  35 -> 44 [size =\"7483392\"]\n  35 -> 45 [size =\"7483392\"]\n  36 [size=\"58652160\", alpha=\"0.05\", expect_size=\"23460864\"] \n  36 -> 38 [size =\"23460864\"]\n  36 -> 39 [size =\"23460864\"]\n  36 -> 41 [size =\"23460864\"]\n  36 -> 45 [size =\"23460864\"]\n  37 [size=\"56832000\", alpha=\"0.12\", expect_size=\"22732800\"] \n  38 [size=\"46228480\", alpha=\"0.12\", expect_size=\"18491392\"] \n  39 [size=\"44510720\", alpha=\"0.05\", expect_size=\"17804288\"] \n  40 [size=\"59560960\", alpha=\"0.04\", expect_size=\"23824384\"] \n  41 [size=\"42823680\", alpha=\"0.04\", expect_size=\"17129472\"] \n  42 [size=\"62676480\", alpha=\"0.05\", expect_size=\"25070592\"] \n  43 [size=\"23938560\", alpha=\"0.05\", expect_size=\"9575424\"] \n  44 [size=\"117365760\", alpha=\"0.17\", expect_size=\"46946304\"] \n  45 [size=\"125862400\", alpha=\"0.08\", expect_size=\"50344960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48807253\", alpha=\"0.10\", expect_size=\"14642176\"] \n  1 -> 4 [size =\"14642176\"]\n  1 -> 5 [size =\"14642176\"]\n  2 [size=\"48496640\", alpha=\"0.16\", expect_size=\"14548992\"] \n  2 -> 4 [size =\"14548992\"]\n  3 [size=\"36686507\", alpha=\"0.17\", expect_size=\"11005952\"] \n  3 -> 4 [size =\"11005952\"]\n  4 [size=\"59583147\", alpha=\"0.09\", expect_size=\"17874944\"] \n  4 -> 6 [size =\"17874944\"]\n  4 -> 7 [size =\"17874944\"]\n  5 [size=\"18790400\", alpha=\"0.12\", expect_size=\"5637120\"] \n  5 -> 6 [size =\"5637120\"]\n  5 -> 7 [size =\"5637120\"]\n  6 [size=\"39912107\", alpha=\"0.18\", expect_size=\"11973632\"] \n  6 -> 8 [size =\"11973632\"]\n  6 -> 9 [size =\"11973632\"]\n  7 [size=\"93248853\", alpha=\"0.05\", expect_size=\"27974656\"] \n  7 -> 8 [size =\"27974656\"]\n  7 -> 9 [size =\"27974656\"]\n  8 [size=\"108588373\", alpha=\"0.00\", expect_size=\"32576512\"] \n  8 -> 10 [size =\"32576512\"]\n  8 -> 11 [size =\"32576512\"]\n  9 [size=\"85094400\", alpha=\"0.11\", expect_size=\"25528320\"] \n  9 -> 10 [size =\"25528320\"]\n  9 -> 11 [size =\"25528320\"]\n  10 [size=\"102202027\", alpha=\"0.12\", expect_size=\"30660608\"] \n  10 -> 13 [size =\"30660608\"]\n  11 [size=\"98263040\", alpha=\"0.16\", expect_size=\"29478912\"] \n  11 -> 12 [size =\"29478912\"]\n  11 -> 13 [size =\"29478912\"]\n  12 [size=\"21695147\", alpha=\"0.18\", expect_size=\"6508544\"] \n  12 -> 15 [size =\"6508544\"]\n  13 [size=\"150418773\", alpha=\"0.02\", expect_size=\"45125632\"] \n  13 -> 14 [size =\"45125632\"]\n  14 [size=\"129774933\", alpha=\"0.20\", expect_size=\"38932480\"] \n  14 -> 16 [size =\"38932480\"]\n  14 -> 17 [size =\"38932480\"]\n  15 [size=\"41168213\", alpha=\"0.02\", expect_size=\"12350464\"] \n  15 -> 16 [size =\"12350464\"]\n  16 [size=\"132983467\", alpha=\"0.09\", expect_size=\"39895040\"] \n  16 -> 18 [size =\"39895040\"]\n  16 -> 19 [size =\"39895040\"]\n  17 [size=\"114759680\", alpha=\"0.04\", expect_size=\"34427904\"] \n  17 -> 18 [size =\"34427904\"]\n  17 -> 19 [size =\"34427904\"]\n  18 [size=\"150275413\", alpha=\"0.12\", expect_size=\"45082624\"] \n  18 -> 20 [size =\"45082624\"]\n  18 -> 21 [size =\"45082624\"]\n  19 [size=\"151231147\", alpha=\"0.15\", expect_size=\"45369344\"] \n  19 -> 20 [size =\"45369344\"]\n  19 -> 21 [size =\"45369344\"]\n  20 [size=\"83305813\", alpha=\"0.10\", expect_size=\"24991744\"] \n  20 -> 22 [size =\"24991744\"]\n  20 -> 23 [size =\"24991744\"]\n  20 -> 24 [size =\"24991744\"]\n  21 [size=\"22050133\", alpha=\"0.09\", expect_size=\"6615040\"] \n  21 -> 22 [size =\"6615040\"]\n  21 -> 23 [size =\"6615040\"]\n  21 -> 24 [size =\"6615040\"]\n  22 [size=\"150029653\", alpha=\"0.12\", expect_size=\"45008896\"] \n  22 -> 25 [size =\"45008896\"]\n  22 -> 26 [size =\"45008896\"]\n  22 -> 27 [size =\"45008896\"]\n  23 [size=\"135386453\", alpha=\"0.17\", expect_size=\"40615936\"] \n  23 -> 25 [size =\"40615936\"]\n  23 -> 26 [size =\"40615936\"]\n  23 -> 27 [size =\"40615936\"]\n  24 [size=\"149992107\", alpha=\"0.08\", expect_size=\"44997632\"] \n  24 -> 25 [size =\"44997632\"]\n  24 -> 26 [size =\"44997632\"]\n  24 -> 27 [size =\"44997632\"]\n  25 [size=\"148578987\", alpha=\"0.19\", expect_size=\"44573696\"] \n  25 -> 30 [size =\"44573696\"]\n  26 [size=\"163594240\", alpha=\"0.12\", expect_size=\"49078272\"] \n  26 -> 29 [size =\"49078272\"]\n  27 [size=\"73304747\", alpha=\"0.16\", expect_size=\"21991424\"] \n  27 -> 28 [size =\"21991424\"]\n  27 -> 29 [size =\"21991424\"]\n  28 [size=\"106741760\", alpha=\"0.11\", expect_size=\"32022528\"] \n  28 -> 31 [size =\"32022528\"]\n  28 -> 32 [size =\"32022528\"]\n  29 [size=\"42130773\", alpha=\"0.14\", expect_size=\"12639232\"] \n  29 -> 32 [size =\"12639232\"]\n  29 -> 33 [size =\"12639232\"]\n  30 [size=\"161611093\", alpha=\"0.09\", expect_size=\"48483328\"] \n  30 -> 31 [size =\"48483328\"]\n  30 -> 32 [size =\"48483328\"]\n  31 [size=\"84084053\", alpha=\"0.13\", expect_size=\"25225216\"] \n  31 -> 34 [size =\"25225216\"]\n  31 -> 35 [size =\"25225216\"]\n  31 -> 36 [size =\"25225216\"]\n  32 [size=\"155463680\", alpha=\"0.18\", expect_size=\"46639104\"] \n  32 -> 34 [size =\"46639104\"]\n  32 -> 36 [size =\"46639104\"]\n  33 [size=\"92197547\", alpha=\"0.00\", expect_size=\"27659264\"] \n  33 -> 34 [size =\"27659264\"]\n  33 -> 35 [size =\"27659264\"]\n  33 -> 36 [size =\"27659264\"]\n  34 [size=\"70785707\", alpha=\"0.16\", expect_size=\"21235712\"] \n  34 -> 38 [size =\"21235712\"]\n  35 [size=\"133328213\", alpha=\"0.16\", expect_size=\"39998464\"] \n  36 [size=\"123859627\", alpha=\"0.10\", expect_size=\"37157888\"] \n  36 -> 37 [size =\"37157888\"]\n  36 -> 38 [size =\"37157888\"]\n  37 [size=\"64819200\", alpha=\"0.16\", expect_size=\"19445760\"] \n  37 -> 39 [size =\"19445760\"]\n  38 [size=\"31976107\", alpha=\"0.19\", expect_size=\"9592832\"] \n  38 -> 39 [size =\"9592832\"]\n  38 -> 40 [size =\"9592832\"]\n  38 -> 41 [size =\"9592832\"]\n  39 [size=\"116445867\", alpha=\"0.20\", expect_size=\"34933760\"] \n  39 -> 42 [size =\"34933760\"]\n  39 -> 43 [size =\"34933760\"]\n  40 [size=\"71277227\", alpha=\"0.08\", expect_size=\"21383168\"] \n  40 -> 43 [size =\"21383168\"]\n  41 [size=\"138485760\", alpha=\"0.17\", expect_size=\"41545728\"] \n  41 -> 43 [size =\"41545728\"]\n  42 [size=\"84278613\", alpha=\"0.03\", expect_size=\"25283584\"] \n  42 -> 45 [size =\"25283584\"]\n  43 [size=\"70171307\", alpha=\"0.05\", expect_size=\"21051392\"] \n  43 -> 44 [size =\"21051392\"]\n  43 -> 45 [size =\"21051392\"]\n  44 [size=\"71813120\", alpha=\"0.02\", expect_size=\"21543936\"] \n  45 [size=\"44223147\", alpha=\"0.17\", expect_size=\"13266944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153733120\", alpha=\"0.07\", expect_size=\"46119936\"] \n  2 [size=\"37492053\", alpha=\"0.17\", expect_size=\"11247616\"] \n  2 -> 5 [size =\"11247616\"]\n  3 [size=\"140769280\", alpha=\"0.12\", expect_size=\"42230784\"] \n  3 -> 4 [size =\"42230784\"]\n  3 -> 5 [size =\"42230784\"]\n  4 [size=\"59436373\", alpha=\"0.11\", expect_size=\"17830912\"] \n  4 -> 6 [size =\"17830912\"]\n  4 -> 7 [size =\"17830912\"]\n  4 -> 8 [size =\"17830912\"]\n  5 [size=\"45230080\", alpha=\"0.11\", expect_size=\"13569024\"] \n  5 -> 6 [size =\"13569024\"]\n  5 -> 7 [size =\"13569024\"]\n  6 [size=\"163686400\", alpha=\"0.13\", expect_size=\"49105920\"] \n  6 -> 9 [size =\"49105920\"]\n  6 -> 11 [size =\"49105920\"]\n  7 [size=\"123238400\", alpha=\"0.14\", expect_size=\"36971520\"] \n  7 -> 10 [size =\"36971520\"]\n  8 [size=\"115930453\", alpha=\"0.06\", expect_size=\"34779136\"] \n  8 -> 9 [size =\"34779136\"]\n  8 -> 10 [size =\"34779136\"]\n  8 -> 11 [size =\"34779136\"]\n  9 [size=\"132454400\", alpha=\"0.04\", expect_size=\"39736320\"] \n  9 -> 13 [size =\"39736320\"]\n  10 [size=\"139755520\", alpha=\"0.13\", expect_size=\"41926656\"] \n  10 -> 12 [size =\"41926656\"]\n  10 -> 13 [size =\"41926656\"]\n  11 [size=\"72492373\", alpha=\"0.14\", expect_size=\"21747712\"] \n  11 -> 13 [size =\"21747712\"]\n  12 [size=\"127464107\", alpha=\"0.16\", expect_size=\"38239232\"] \n  12 -> 14 [size =\"38239232\"]\n  12 -> 16 [size =\"38239232\"]\n  13 [size=\"101922133\", alpha=\"0.18\", expect_size=\"30576640\"] \n  13 -> 14 [size =\"30576640\"]\n  13 -> 15 [size =\"30576640\"]\n  13 -> 16 [size =\"30576640\"]\n  14 [size=\"40294400\", alpha=\"0.07\", expect_size=\"12088320\"] \n  14 -> 17 [size =\"12088320\"]\n  14 -> 18 [size =\"12088320\"]\n  14 -> 19 [size =\"12088320\"]\n  15 [size=\"123545600\", alpha=\"0.15\", expect_size=\"37063680\"] \n  15 -> 18 [size =\"37063680\"]\n  15 -> 18 [size =\"37063680\"]\n  16 [size=\"54777173\", alpha=\"0.19\", expect_size=\"16433152\"] \n  17 [size=\"158313813\", alpha=\"0.15\", expect_size=\"47494144\"] \n  17 -> 21 [size =\"47494144\"]\n  18 [size=\"112117760\", alpha=\"0.15\", expect_size=\"33635328\"] \n  18 -> 20 [size =\"33635328\"]\n  19 [size=\"162068480\", alpha=\"0.09\", expect_size=\"48620544\"] \n  19 -> 20 [size =\"48620544\"]\n  19 -> 21 [size =\"48620544\"]\n  20 [size=\"39062187\", alpha=\"0.04\", expect_size=\"11718656\"] \n  20 -> 22 [size =\"11718656\"]\n  20 -> 23 [size =\"11718656\"]\n  20 -> 24 [size =\"11718656\"]\n  21 [size=\"143216640\", alpha=\"0.15\", expect_size=\"42964992\"] \n  21 -> 22 [size =\"42964992\"]\n  21 -> 23 [size =\"42964992\"]\n  21 -> 24 [size =\"42964992\"]\n  22 [size=\"94474240\", alpha=\"0.10\", expect_size=\"28342272\"] \n  23 [size=\"62897493\", alpha=\"0.20\", expect_size=\"18869248\"] \n  23 -> 25 [size =\"18869248\"]\n  23 -> 26 [size =\"18869248\"]\n  24 [size=\"45253973\", alpha=\"0.15\", expect_size=\"13576192\"] \n  24 -> 26 [size =\"13576192\"]\n  25 [size=\"100341760\", alpha=\"0.14\", expect_size=\"30102528\"] \n  25 -> 28 [size =\"30102528\"]\n  25 -> 29 [size =\"30102528\"]\n  26 [size=\"64505173\", alpha=\"0.11\", expect_size=\"19351552\"] \n  26 -> 27 [size =\"19351552\"]\n  26 -> 28 [size =\"19351552\"]\n  26 -> 29 [size =\"19351552\"]\n  27 [size=\"59951787\", alpha=\"0.02\", expect_size=\"17985536\"] \n  27 -> 30 [size =\"17985536\"]\n  28 [size=\"18094080\", alpha=\"0.06\", expect_size=\"5428224\"] \n  28 -> 31 [size =\"5428224\"]\n  29 [size=\"138717867\", alpha=\"0.04\", expect_size=\"41615360\"] \n  30 [size=\"53295787\", alpha=\"0.17\", expect_size=\"15988736\"] \n  30 -> 32 [size =\"15988736\"]\n  30 -> 34 [size =\"15988736\"]\n  31 [size=\"81483093\", alpha=\"0.18\", expect_size=\"24444928\"] \n  31 -> 32 [size =\"24444928\"]\n  31 -> 33 [size =\"24444928\"]\n  32 [size=\"44967253\", alpha=\"0.12\", expect_size=\"13490176\"] \n  32 -> 35 [size =\"13490176\"]\n  32 -> 36 [size =\"13490176\"]\n  32 -> 37 [size =\"13490176\"]\n  33 [size=\"121050453\", alpha=\"0.18\", expect_size=\"36315136\"] \n  34 [size=\"118456320\", alpha=\"0.06\", expect_size=\"35536896\"] \n  34 -> 35 [size =\"35536896\"]\n  35 [size=\"79144960\", alpha=\"0.08\", expect_size=\"23743488\"] \n  35 -> 38 [size =\"23743488\"]\n  36 [size=\"30877013\", alpha=\"0.14\", expect_size=\"9263104\"] \n  36 -> 38 [size =\"9263104\"]\n  36 -> 39 [size =\"9263104\"]\n  37 [size=\"119855787\", alpha=\"0.18\", expect_size=\"35956736\"] \n  38 [size=\"137277440\", alpha=\"0.15\", expect_size=\"41183232\"] \n  38 -> 41 [size =\"41183232\"]\n  39 [size=\"24313173\", alpha=\"0.10\", expect_size=\"7293952\"] \n  39 -> 40 [size =\"7293952\"]\n  39 -> 41 [size =\"7293952\"]\n  40 [size=\"53224107\", alpha=\"0.07\", expect_size=\"15967232\"] \n  40 -> 42 [size =\"15967232\"]\n  40 -> 43 [size =\"15967232\"]\n  41 [size=\"31723520\", alpha=\"0.01\", expect_size=\"9517056\"] \n  42 [size=\"172110507\", alpha=\"0.04\", expect_size=\"51633152\"] \n  43 [size=\"112513707\", alpha=\"0.13\", expect_size=\"33754112\"] \n  43 -> 44 [size =\"33754112\"]\n  43 -> 45 [size =\"33754112\"]\n  44 [size=\"94675627\", alpha=\"0.06\", expect_size=\"28402688\"] \n  45 [size=\"141407573\", alpha=\"0.09\", expect_size=\"42422272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20072960\", alpha=\"0.13\", expect_size=\"8029184\"] \n  1 -> 8 [size =\"8029184\"]\n  1 -> 9 [size =\"8029184\"]\n  2 [size=\"62937600\", alpha=\"0.10\", expect_size=\"25175040\"] \n  2 -> 8 [size =\"25175040\"]\n  2 -> 9 [size =\"25175040\"]\n  3 [size=\"74705920\", alpha=\"0.16\", expect_size=\"29882368\"] \n  3 -> 9 [size =\"29882368\"]\n  3 -> 12 [size =\"29882368\"]\n  4 [size=\"23987200\", alpha=\"0.17\", expect_size=\"9594880\"] \n  4 -> 11 [size =\"9594880\"]\n  4 -> 12 [size =\"9594880\"]\n  5 [size=\"129221120\", alpha=\"0.10\", expect_size=\"51688448\"] \n  5 -> 9 [size =\"51688448\"]\n  5 -> 11 [size =\"51688448\"]\n  6 [size=\"21189120\", alpha=\"0.11\", expect_size=\"8475648\"] \n  6 -> 8 [size =\"8475648\"]\n  6 -> 9 [size =\"8475648\"]\n  6 -> 10 [size =\"8475648\"]\n  6 -> 12 [size =\"8475648\"]\n  7 [size=\"73840640\", alpha=\"0.03\", expect_size=\"29536256\"] \n  7 -> 10 [size =\"29536256\"]\n  8 [size=\"29911040\", alpha=\"0.16\", expect_size=\"11964416\"] \n  8 -> 16 [size =\"11964416\"]\n  8 -> 18 [size =\"11964416\"]\n  8 -> 20 [size =\"11964416\"]\n  9 [size=\"72125440\", alpha=\"0.15\", expect_size=\"28850176\"] \n  9 -> 13 [size =\"28850176\"]\n  9 -> 17 [size =\"28850176\"]\n  9 -> 18 [size =\"28850176\"]\n  9 -> 19 [size =\"28850176\"]\n  10 [size=\"126581760\", alpha=\"0.00\", expect_size=\"50632704\"] \n  10 -> 14 [size =\"50632704\"]\n  10 -> 15 [size =\"50632704\"]\n  10 -> 17 [size =\"50632704\"]\n  11 [size=\"24660480\", alpha=\"0.19\", expect_size=\"9864192\"] \n  11 -> 14 [size =\"9864192\"]\n  11 -> 15 [size =\"9864192\"]\n  11 -> 17 [size =\"9864192\"]\n  11 -> 19 [size =\"9864192\"]\n  12 [size=\"98749440\", alpha=\"0.08\", expect_size=\"39499776\"] \n  12 -> 14 [size =\"39499776\"]\n  12 -> 17 [size =\"39499776\"]\n  12 -> 18 [size =\"39499776\"]\n  12 -> 19 [size =\"39499776\"]\n  13 [size=\"39951360\", alpha=\"0.17\", expect_size=\"15980544\"] \n  13 -> 22 [size =\"15980544\"]\n  13 -> 24 [size =\"15980544\"]\n  13 -> 27 [size =\"15980544\"]\n  14 [size=\"16936960\", alpha=\"0.12\", expect_size=\"6774784\"] \n  14 -> 21 [size =\"6774784\"]\n  14 -> 22 [size =\"6774784\"]\n  14 -> 24 [size =\"6774784\"]\n  14 -> 25 [size =\"6774784\"]\n  14 -> 27 [size =\"6774784\"]\n  15 [size=\"117063680\", alpha=\"0.07\", expect_size=\"46825472\"] \n  15 -> 21 [size =\"46825472\"]\n  15 -> 23 [size =\"46825472\"]\n  15 -> 24 [size =\"46825472\"]\n  16 [size=\"59456000\", alpha=\"0.11\", expect_size=\"23782400\"] \n  16 -> 25 [size =\"23782400\"]\n  16 -> 26 [size =\"23782400\"]\n  16 -> 27 [size =\"23782400\"]\n  16 -> 28 [size =\"23782400\"]\n  17 [size=\"123578880\", alpha=\"0.04\", expect_size=\"49431552\"] \n  17 -> 21 [size =\"49431552\"]\n  17 -> 22 [size =\"49431552\"]\n  17 -> 25 [size =\"49431552\"]\n  18 [size=\"22499840\", alpha=\"0.02\", expect_size=\"8999936\"] \n  18 -> 22 [size =\"8999936\"]\n  18 -> 23 [size =\"8999936\"]\n  18 -> 28 [size =\"8999936\"]\n  19 [size=\"119040000\", alpha=\"0.17\", expect_size=\"47616000\"] \n  19 -> 23 [size =\"47616000\"]\n  19 -> 27 [size =\"47616000\"]\n  19 -> 28 [size =\"47616000\"]\n  20 [size=\"87674880\", alpha=\"0.06\", expect_size=\"35069952\"] \n  20 -> 21 [size =\"35069952\"]\n  20 -> 28 [size =\"35069952\"]\n  21 [size=\"89817600\", alpha=\"0.15\", expect_size=\"35927040\"] \n  21 -> 29 [size =\"35927040\"]\n  21 -> 32 [size =\"35927040\"]\n  21 -> 33 [size =\"35927040\"]\n  22 [size=\"84515840\", alpha=\"0.14\", expect_size=\"33806336\"] \n  22 -> 31 [size =\"33806336\"]\n  22 -> 33 [size =\"33806336\"]\n  23 [size=\"15055360\", alpha=\"0.02\", expect_size=\"6022144\"] \n  23 -> 29 [size =\"6022144\"]\n  23 -> 31 [size =\"6022144\"]\n  24 [size=\"116290560\", alpha=\"0.13\", expect_size=\"46516224\"] \n  24 -> 30 [size =\"46516224\"]\n  25 [size=\"69696000\", alpha=\"0.03\", expect_size=\"27878400\"] \n  25 -> 33 [size =\"27878400\"]\n  26 [size=\"109002240\", alpha=\"0.14\", expect_size=\"43600896\"] \n  27 [size=\"57879040\", alpha=\"0.16\", expect_size=\"23151616\"] \n  27 -> 33 [size =\"23151616\"]\n  28 [size=\"82908160\", alpha=\"0.01\", expect_size=\"33163264\"] \n  28 -> 33 [size =\"33163264\"]\n  29 [size=\"95334400\", alpha=\"0.15\", expect_size=\"38133760\"] \n  30 [size=\"77992960\", alpha=\"0.09\", expect_size=\"31197184\"] \n  30 -> 35 [size =\"31197184\"]\n  30 -> 36 [size =\"31197184\"]\n  30 -> 38 [size =\"31197184\"]\n  30 -> 40 [size =\"31197184\"]\n  31 [size=\"111088640\", alpha=\"0.05\", expect_size=\"44435456\"] \n  31 -> 34 [size =\"44435456\"]\n  31 -> 35 [size =\"44435456\"]\n  31 -> 36 [size =\"44435456\"]\n  31 -> 38 [size =\"44435456\"]\n  32 [size=\"83624960\", alpha=\"0.16\", expect_size=\"33449984\"] \n  32 -> 34 [size =\"33449984\"]\n  32 -> 36 [size =\"33449984\"]\n  32 -> 38 [size =\"33449984\"]\n  33 [size=\"45432320\", alpha=\"0.11\", expect_size=\"18172928\"] \n  33 -> 34 [size =\"18172928\"]\n  33 -> 37 [size =\"18172928\"]\n  33 -> 39 [size =\"18172928\"]\n  33 -> 40 [size =\"18172928\"]\n  34 [size=\"58109440\", alpha=\"0.06\", expect_size=\"23243776\"] \n  34 -> 42 [size =\"23243776\"]\n  35 [size=\"14574080\", alpha=\"0.19\", expect_size=\"5829632\"] \n  35 -> 41 [size =\"5829632\"]\n  36 [size=\"30942720\", alpha=\"0.01\", expect_size=\"12377088\"] \n  37 [size=\"115299840\", alpha=\"0.00\", expect_size=\"46119936\"] \n  37 -> 42 [size =\"46119936\"]\n  37 -> 44 [size =\"46119936\"]\n  38 [size=\"92446720\", alpha=\"0.02\", expect_size=\"36978688\"] \n  38 -> 42 [size =\"36978688\"]\n  39 [size=\"97154560\", alpha=\"0.01\", expect_size=\"38861824\"] \n  39 -> 42 [size =\"38861824\"]\n  40 [size=\"70479360\", alpha=\"0.13\", expect_size=\"28191744\"] \n  40 -> 43 [size =\"28191744\"]\n  41 [size=\"125893120\", alpha=\"0.18\", expect_size=\"50357248\"] \n  42 [size=\"39024640\", alpha=\"0.15\", expect_size=\"15609856\"] \n  43 [size=\"13480960\", alpha=\"0.13\", expect_size=\"5392384\"] \n  43 -> 45 [size =\"5392384\"]\n  44 [size=\"76103680\", alpha=\"0.08\", expect_size=\"30441472\"] \n  45 [size=\"112765440\", alpha=\"0.12\", expect_size=\"45106176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26426880\", alpha=\"0.08\", expect_size=\"10570752\"] \n  1 -> 2 [size =\"10570752\"]\n  2 [size=\"40432640\", alpha=\"0.12\", expect_size=\"16173056\"] \n  2 -> 3 [size =\"16173056\"]\n  3 [size=\"114347520\", alpha=\"0.20\", expect_size=\"45739008\"] \n  3 -> 4 [size =\"45739008\"]\n  4 [size=\"91671040\", alpha=\"0.20\", expect_size=\"36668416\"] \n  4 -> 5 [size =\"36668416\"]\n  5 [size=\"83494400\", alpha=\"0.06\", expect_size=\"33397760\"] \n  5 -> 6 [size =\"33397760\"]\n  6 [size=\"114816000\", alpha=\"0.10\", expect_size=\"45926400\"] \n  6 -> 7 [size =\"45926400\"]\n  7 [size=\"49733120\", alpha=\"0.15\", expect_size=\"19893248\"] \n  7 -> 8 [size =\"19893248\"]\n  8 [size=\"82337280\", alpha=\"0.01\", expect_size=\"32934912\"] \n  8 -> 9 [size =\"32934912\"]\n  9 [size=\"23403520\", alpha=\"0.18\", expect_size=\"9361408\"] \n  9 -> 10 [size =\"9361408\"]\n  10 [size=\"40483840\", alpha=\"0.11\", expect_size=\"16193536\"] \n  10 -> 11 [size =\"16193536\"]\n  11 [size=\"128558080\", alpha=\"0.00\", expect_size=\"51423232\"] \n  11 -> 12 [size =\"51423232\"]\n  12 [size=\"59028480\", alpha=\"0.02\", expect_size=\"23611392\"] \n  12 -> 13 [size =\"23611392\"]\n  13 [size=\"127198720\", alpha=\"0.11\", expect_size=\"50879488\"] \n  13 -> 14 [size =\"50879488\"]\n  14 [size=\"125877760\", alpha=\"0.04\", expect_size=\"50351104\"] \n  14 -> 15 [size =\"50351104\"]\n  15 [size=\"123888640\", alpha=\"0.17\", expect_size=\"49555456\"] \n  15 -> 16 [size =\"49555456\"]\n  16 [size=\"41510400\", alpha=\"0.13\", expect_size=\"16604160\"] \n  16 -> 17 [size =\"16604160\"]\n  17 [size=\"101675520\", alpha=\"0.10\", expect_size=\"40670208\"] \n  17 -> 18 [size =\"40670208\"]\n  18 [size=\"74749440\", alpha=\"0.10\", expect_size=\"29899776\"] \n  18 -> 19 [size =\"29899776\"]\n  19 [size=\"79065600\", alpha=\"0.09\", expect_size=\"31626240\"] \n  19 -> 20 [size =\"31626240\"]\n  20 [size=\"67752960\", alpha=\"0.19\", expect_size=\"27101184\"] \n  20 -> 21 [size =\"27101184\"]\n  21 [size=\"129843200\", alpha=\"0.12\", expect_size=\"51937280\"] \n  21 -> 22 [size =\"51937280\"]\n  22 [size=\"131046400\", alpha=\"0.09\", expect_size=\"52418560\"] \n  22 -> 23 [size =\"52418560\"]\n  23 [size=\"27486720\", alpha=\"0.03\", expect_size=\"10994688\"] \n  23 -> 24 [size =\"10994688\"]\n  24 [size=\"94108160\", alpha=\"0.11\", expect_size=\"37643264\"] \n  24 -> 25 [size =\"37643264\"]\n  25 [size=\"116928000\", alpha=\"0.11\", expect_size=\"46771200\"] \n  25 -> 26 [size =\"46771200\"]\n  26 [size=\"99381760\", alpha=\"0.08\", expect_size=\"39752704\"] \n  26 -> 27 [size =\"39752704\"]\n  27 [size=\"55252480\", alpha=\"0.11\", expect_size=\"22100992\"] \n  27 -> 28 [size =\"22100992\"]\n  28 [size=\"111418880\", alpha=\"0.06\", expect_size=\"44567552\"] \n  28 -> 29 [size =\"44567552\"]\n  29 [size=\"55060480\", alpha=\"0.03\", expect_size=\"22024192\"] \n  29 -> 30 [size =\"22024192\"]\n  30 [size=\"106135040\", alpha=\"0.04\", expect_size=\"42454016\"] \n  30 -> 31 [size =\"42454016\"]\n  31 [size=\"100584960\", alpha=\"0.05\", expect_size=\"40233984\"] \n  31 -> 32 [size =\"40233984\"]\n  32 [size=\"51735040\", alpha=\"0.13\", expect_size=\"20694016\"] \n  32 -> 33 [size =\"20694016\"]\n  33 [size=\"104875520\", alpha=\"0.01\", expect_size=\"41950208\"] \n  33 -> 34 [size =\"41950208\"]\n  34 [size=\"125317120\", alpha=\"0.09\", expect_size=\"50126848\"] \n  34 -> 35 [size =\"50126848\"]\n  35 [size=\"73664000\", alpha=\"0.14\", expect_size=\"29465600\"] \n  35 -> 36 [size =\"29465600\"]\n  36 [size=\"20303360\", alpha=\"0.05\", expect_size=\"8121344\"] \n  36 -> 37 [size =\"8121344\"]\n  37 [size=\"66946560\", alpha=\"0.11\", expect_size=\"26778624\"] \n  37 -> 38 [size =\"26778624\"]\n  38 [size=\"14292480\", alpha=\"0.07\", expect_size=\"5716992\"] \n  38 -> 39 [size =\"5716992\"]\n  39 [size=\"49538560\", alpha=\"0.14\", expect_size=\"19815424\"] \n  39 -> 40 [size =\"19815424\"]\n  40 [size=\"65016320\", alpha=\"0.11\", expect_size=\"26006528\"] \n  40 -> 41 [size =\"26006528\"]\n  41 [size=\"88107520\", alpha=\"0.07\", expect_size=\"35243008\"] \n  41 -> 42 [size =\"35243008\"]\n  42 [size=\"116298240\", alpha=\"0.04\", expect_size=\"46519296\"] \n  42 -> 43 [size =\"46519296\"]\n  43 [size=\"77544960\", alpha=\"0.03\", expect_size=\"31017984\"] \n  43 -> 44 [size =\"31017984\"]\n  44 [size=\"85944320\", alpha=\"0.15\", expect_size=\"34377728\"] \n  44 -> 45 [size =\"34377728\"]\n  45 [size=\"18334720\", alpha=\"0.06\", expect_size=\"7333888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151070720\", alpha=\"0.05\", expect_size=\"45321216\"] \n  1 -> 2 [size =\"45321216\"]\n  2 [size=\"43707733\", alpha=\"0.12\", expect_size=\"13112320\"] \n  2 -> 3 [size =\"13112320\"]\n  3 [size=\"105966933\", alpha=\"0.12\", expect_size=\"31790080\"] \n  3 -> 4 [size =\"31790080\"]\n  4 [size=\"28501333\", alpha=\"0.17\", expect_size=\"8550400\"] \n  4 -> 5 [size =\"8550400\"]\n  5 [size=\"111629653\", alpha=\"0.17\", expect_size=\"33488896\"] \n  5 -> 6 [size =\"33488896\"]\n  6 [size=\"96354987\", alpha=\"0.11\", expect_size=\"28906496\"] \n  6 -> 7 [size =\"28906496\"]\n  7 [size=\"29593600\", alpha=\"0.03\", expect_size=\"8878080\"] \n  7 -> 8 [size =\"8878080\"]\n  8 [size=\"37956267\", alpha=\"0.06\", expect_size=\"11386880\"] \n  8 -> 9 [size =\"11386880\"]\n  9 [size=\"33204907\", alpha=\"0.12\", expect_size=\"9961472\"] \n  9 -> 10 [size =\"9961472\"]\n  10 [size=\"36375893\", alpha=\"0.08\", expect_size=\"10912768\"] \n  10 -> 11 [size =\"10912768\"]\n  11 [size=\"54340267\", alpha=\"0.19\", expect_size=\"16302080\"] \n  11 -> 12 [size =\"16302080\"]\n  12 [size=\"96774827\", alpha=\"0.02\", expect_size=\"29032448\"] \n  12 -> 13 [size =\"29032448\"]\n  13 [size=\"32542720\", alpha=\"0.19\", expect_size=\"9762816\"] \n  13 -> 14 [size =\"9762816\"]\n  14 [size=\"129239040\", alpha=\"0.11\", expect_size=\"38771712\"] \n  14 -> 15 [size =\"38771712\"]\n  15 [size=\"102734507\", alpha=\"0.06\", expect_size=\"30820352\"] \n  15 -> 16 [size =\"30820352\"]\n  16 [size=\"79510187\", alpha=\"0.05\", expect_size=\"23853056\"] \n  16 -> 17 [size =\"23853056\"]\n  17 [size=\"163525973\", alpha=\"0.06\", expect_size=\"49057792\"] \n  17 -> 18 [size =\"49057792\"]\n  18 [size=\"31389013\", alpha=\"0.05\", expect_size=\"9416704\"] \n  18 -> 19 [size =\"9416704\"]\n  19 [size=\"77322240\", alpha=\"0.11\", expect_size=\"23196672\"] \n  19 -> 20 [size =\"23196672\"]\n  20 [size=\"173796693\", alpha=\"0.01\", expect_size=\"52139008\"] \n  20 -> 21 [size =\"52139008\"]\n  21 [size=\"82718720\", alpha=\"0.09\", expect_size=\"24815616\"] \n  21 -> 22 [size =\"24815616\"]\n  22 [size=\"78421333\", alpha=\"0.20\", expect_size=\"23526400\"] \n  22 -> 23 [size =\"23526400\"]\n  23 [size=\"93648213\", alpha=\"0.02\", expect_size=\"28094464\"] \n  23 -> 24 [size =\"28094464\"]\n  24 [size=\"82384213\", alpha=\"0.05\", expect_size=\"24715264\"] \n  24 -> 25 [size =\"24715264\"]\n  25 [size=\"166918827\", alpha=\"0.00\", expect_size=\"50075648\"] \n  25 -> 26 [size =\"50075648\"]\n  26 [size=\"53780480\", alpha=\"0.06\", expect_size=\"16134144\"] \n  26 -> 27 [size =\"16134144\"]\n  27 [size=\"90596693\", alpha=\"0.13\", expect_size=\"27179008\"] \n  27 -> 28 [size =\"27179008\"]\n  28 [size=\"134591147\", alpha=\"0.02\", expect_size=\"40377344\"] \n  28 -> 29 [size =\"40377344\"]\n  29 [size=\"171540480\", alpha=\"0.14\", expect_size=\"51462144\"] \n  29 -> 30 [size =\"51462144\"]\n  30 [size=\"100717227\", alpha=\"0.08\", expect_size=\"30215168\"] \n  30 -> 31 [size =\"30215168\"]\n  31 [size=\"111902720\", alpha=\"0.06\", expect_size=\"33570816\"] \n  31 -> 32 [size =\"33570816\"]\n  32 [size=\"24122027\", alpha=\"0.15\", expect_size=\"7236608\"] \n  32 -> 33 [size =\"7236608\"]\n  33 [size=\"20893013\", alpha=\"0.06\", expect_size=\"6267904\"] \n  33 -> 34 [size =\"6267904\"]\n  34 [size=\"33419947\", alpha=\"0.11\", expect_size=\"10025984\"] \n  34 -> 35 [size =\"10025984\"]\n  35 [size=\"72731307\", alpha=\"0.06\", expect_size=\"21819392\"] \n  35 -> 36 [size =\"21819392\"]\n  36 [size=\"75694080\", alpha=\"0.10\", expect_size=\"22708224\"] \n  36 -> 37 [size =\"22708224\"]\n  37 [size=\"121193813\", alpha=\"0.12\", expect_size=\"36358144\"] \n  37 -> 38 [size =\"36358144\"]\n  38 [size=\"64054613\", alpha=\"0.16\", expect_size=\"19216384\"] \n  38 -> 39 [size =\"19216384\"]\n  39 [size=\"82049707\", alpha=\"0.08\", expect_size=\"24614912\"] \n  39 -> 40 [size =\"24614912\"]\n  40 [size=\"33621333\", alpha=\"0.19\", expect_size=\"10086400\"] \n  40 -> 41 [size =\"10086400\"]\n  41 [size=\"94958933\", alpha=\"0.19\", expect_size=\"28487680\"] \n  41 -> 42 [size =\"28487680\"]\n  42 [size=\"145636693\", alpha=\"0.06\", expect_size=\"43691008\"] \n  42 -> 43 [size =\"43691008\"]\n  43 [size=\"107673600\", alpha=\"0.03\", expect_size=\"32302080\"] \n  43 -> 44 [size =\"32302080\"]\n  44 [size=\"153419093\", alpha=\"0.09\", expect_size=\"46025728\"] \n  44 -> 45 [size =\"46025728\"]\n  45 [size=\"80066560\", alpha=\"0.13\", expect_size=\"24019968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36327424\", alpha=\"0.16\", expect_size=\"18163712\"] \n  1 -> 2 [size =\"18163712\"]\n  1 -> 3 [size =\"18163712\"]\n  1 -> 4 [size =\"18163712\"]\n  2 [size=\"62679040\", alpha=\"0.19\", expect_size=\"31339520\"] \n  2 -> 5 [size =\"31339520\"]\n  3 [size=\"43878400\", alpha=\"0.10\", expect_size=\"21939200\"] \n  4 [size=\"47992832\", alpha=\"0.12\", expect_size=\"23996416\"] \n  5 [size=\"96086016\", alpha=\"0.16\", expect_size=\"48043008\"] \n  5 -> 6 [size =\"48043008\"]\n  5 -> 7 [size =\"48043008\"]\n  6 [size=\"67481600\", alpha=\"0.11\", expect_size=\"33740800\"] \n  6 -> 10 [size =\"33740800\"]\n  7 [size=\"50006016\", alpha=\"0.16\", expect_size=\"25003008\"] \n  7 -> 8 [size =\"25003008\"]\n  7 -> 9 [size =\"25003008\"]\n  8 [size=\"65490944\", alpha=\"0.07\", expect_size=\"32745472\"] \n  8 -> 12 [size =\"32745472\"]\n  9 [size=\"84946944\", alpha=\"0.03\", expect_size=\"42473472\"] \n  9 -> 11 [size =\"42473472\"]\n  9 -> 13 [size =\"42473472\"]\n  10 [size=\"87588864\", alpha=\"0.03\", expect_size=\"43794432\"] \n  10 -> 13 [size =\"43794432\"]\n  11 [size=\"39626752\", alpha=\"0.02\", expect_size=\"19813376\"] \n  11 -> 15 [size =\"19813376\"]\n  11 -> 16 [size =\"19813376\"]\n  12 [size=\"22382592\", alpha=\"0.15\", expect_size=\"11191296\"] \n  12 -> 15 [size =\"11191296\"]\n  13 [size=\"18006016\", alpha=\"0.03\", expect_size=\"9003008\"] \n  13 -> 14 [size =\"9003008\"]\n  13 -> 16 [size =\"9003008\"]\n  14 [size=\"65587200\", alpha=\"0.00\", expect_size=\"32793600\"] \n  14 -> 18 [size =\"32793600\"]\n  14 -> 19 [size =\"32793600\"]\n  15 [size=\"28835840\", alpha=\"0.19\", expect_size=\"14417920\"] \n  16 [size=\"104704000\", alpha=\"0.08\", expect_size=\"52352000\"] \n  16 -> 17 [size =\"52352000\"]\n  17 [size=\"60239872\", alpha=\"0.03\", expect_size=\"30119936\"] \n  17 -> 21 [size =\"30119936\"]\n  18 [size=\"41428992\", alpha=\"0.10\", expect_size=\"20714496\"] \n  18 -> 20 [size =\"20714496\"]\n  19 [size=\"75194368\", alpha=\"0.16\", expect_size=\"37597184\"] \n  20 [size=\"88268800\", alpha=\"0.15\", expect_size=\"44134400\"] \n  20 -> 22 [size =\"44134400\"]\n  20 -> 23 [size =\"44134400\"]\n  21 [size=\"102719488\", alpha=\"0.00\", expect_size=\"51359744\"] \n  22 [size=\"17088512\", alpha=\"0.16\", expect_size=\"8544256\"] \n  22 -> 24 [size =\"8544256\"]\n  23 [size=\"86781952\", alpha=\"0.19\", expect_size=\"43390976\"] \n  24 [size=\"101849088\", alpha=\"0.10\", expect_size=\"50924544\"] \n  24 -> 25 [size =\"50924544\"]\n  24 -> 26 [size =\"50924544\"]\n  24 -> 27 [size =\"50924544\"]\n  25 [size=\"102803456\", alpha=\"0.19\", expect_size=\"51401728\"] \n  25 -> 28 [size =\"51401728\"]\n  25 -> 29 [size =\"51401728\"]\n  25 -> 30 [size =\"51401728\"]\n  26 [size=\"95744000\", alpha=\"0.00\", expect_size=\"47872000\"] \n  26 -> 30 [size =\"47872000\"]\n  27 [size=\"39409664\", alpha=\"0.10\", expect_size=\"19704832\"] \n  27 -> 28 [size =\"19704832\"]\n  28 [size=\"54667264\", alpha=\"0.11\", expect_size=\"27333632\"] \n  28 -> 31 [size =\"27333632\"]\n  28 -> 32 [size =\"27333632\"]\n  29 [size=\"100919296\", alpha=\"0.08\", expect_size=\"50459648\"] \n  30 [size=\"82712576\", alpha=\"0.01\", expect_size=\"41356288\"] \n  31 [size=\"61325312\", alpha=\"0.00\", expect_size=\"30662656\"] \n  31 -> 34 [size =\"30662656\"]\n  32 [size=\"62603264\", alpha=\"0.02\", expect_size=\"31301632\"] \n  32 -> 33 [size =\"31301632\"]\n  32 -> 35 [size =\"31301632\"]\n  32 -> 36 [size =\"31301632\"]\n  33 [size=\"44367872\", alpha=\"0.06\", expect_size=\"22183936\"] \n  33 -> 37 [size =\"22183936\"]\n  34 [size=\"40011776\", alpha=\"0.01\", expect_size=\"20005888\"] \n  34 -> 37 [size =\"20005888\"]\n  34 -> 39 [size =\"20005888\"]\n  35 [size=\"87046144\", alpha=\"0.00\", expect_size=\"43523072\"] \n  35 -> 38 [size =\"43523072\"]\n  35 -> 39 [size =\"43523072\"]\n  36 [size=\"82327552\", alpha=\"0.19\", expect_size=\"41163776\"] \n  36 -> 38 [size =\"41163776\"]\n  37 [size=\"82851840\", alpha=\"0.09\", expect_size=\"41425920\"] \n  37 -> 40 [size =\"41425920\"]\n  38 [size=\"33769472\", alpha=\"0.05\", expect_size=\"16884736\"] \n  39 [size=\"84459520\", alpha=\"0.15\", expect_size=\"42229760\"] \n  39 -> 40 [size =\"42229760\"]\n  40 [size=\"26265600\", alpha=\"0.01\", expect_size=\"13132800\"] \n  40 -> 41 [size =\"13132800\"]\n  40 -> 42 [size =\"13132800\"]\n  40 -> 43 [size =\"13132800\"]\n  41 [size=\"30668800\", alpha=\"0.07\", expect_size=\"15334400\"] \n  42 [size=\"32436224\", alpha=\"0.15\", expect_size=\"16218112\"] \n  42 -> 44 [size =\"16218112\"]\n  43 [size=\"43466752\", alpha=\"0.18\", expect_size=\"21733376\"] \n  43 -> 44 [size =\"21733376\"]\n  44 [size=\"71280640\", alpha=\"0.01\", expect_size=\"35640320\"] \n  44 -> 45 [size =\"35640320\"]\n  45 [size=\"76609536\", alpha=\"0.04\", expect_size=\"38304768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33221120\", alpha=\"0.11\", expect_size=\"13288448\"] \n  1 -> 37 [size =\"13288448\"]\n  1 -> 38 [size =\"13288448\"]\n  1 -> 40 [size =\"13288448\"]\n  1 -> 43 [size =\"13288448\"]\n  1 -> 44 [size =\"13288448\"]\n  1 -> 45 [size =\"13288448\"]\n  2 [size=\"13693440\", alpha=\"0.08\", expect_size=\"5477376\"] \n  2 -> 37 [size =\"5477376\"]\n  2 -> 38 [size =\"5477376\"]\n  2 -> 40 [size =\"5477376\"]\n  2 -> 42 [size =\"5477376\"]\n  2 -> 43 [size =\"5477376\"]\n  2 -> 44 [size =\"5477376\"]\n  2 -> 45 [size =\"5477376\"]\n  3 [size=\"59381760\", alpha=\"0.14\", expect_size=\"23752704\"] \n  3 -> 37 [size =\"23752704\"]\n  3 -> 38 [size =\"23752704\"]\n  3 -> 40 [size =\"23752704\"]\n  3 -> 42 [size =\"23752704\"]\n  3 -> 43 [size =\"23752704\"]\n  3 -> 44 [size =\"23752704\"]\n  3 -> 45 [size =\"23752704\"]\n  4 [size=\"59612160\", alpha=\"0.16\", expect_size=\"23844864\"] \n  4 -> 37 [size =\"23844864\"]\n  4 -> 38 [size =\"23844864\"]\n  4 -> 40 [size =\"23844864\"]\n  4 -> 42 [size =\"23844864\"]\n  4 -> 43 [size =\"23844864\"]\n  4 -> 45 [size =\"23844864\"]\n  5 [size=\"68830720\", alpha=\"0.08\", expect_size=\"27532288\"] \n  5 -> 37 [size =\"27532288\"]\n  5 -> 42 [size =\"27532288\"]\n  5 -> 43 [size =\"27532288\"]\n  5 -> 44 [size =\"27532288\"]\n  5 -> 45 [size =\"27532288\"]\n  6 [size=\"93155840\", alpha=\"0.16\", expect_size=\"37262336\"] \n  6 -> 37 [size =\"37262336\"]\n  6 -> 42 [size =\"37262336\"]\n  6 -> 43 [size =\"37262336\"]\n  6 -> 44 [size =\"37262336\"]\n  7 [size=\"62581760\", alpha=\"0.05\", expect_size=\"25032704\"] \n  7 -> 37 [size =\"25032704\"]\n  7 -> 42 [size =\"25032704\"]\n  7 -> 44 [size =\"25032704\"]\n  7 -> 45 [size =\"25032704\"]\n  8 [size=\"48064000\", alpha=\"0.18\", expect_size=\"19225600\"] \n  8 -> 40 [size =\"19225600\"]\n  8 -> 42 [size =\"19225600\"]\n  8 -> 43 [size =\"19225600\"]\n  8 -> 44 [size =\"19225600\"]\n  8 -> 45 [size =\"19225600\"]\n  9 [size=\"45511680\", alpha=\"0.04\", expect_size=\"18204672\"] \n  9 -> 37 [size =\"18204672\"]\n  9 -> 38 [size =\"18204672\"]\n  9 -> 42 [size =\"18204672\"]\n  9 -> 44 [size =\"18204672\"]\n  9 -> 45 [size =\"18204672\"]\n  10 [size=\"75261440\", alpha=\"0.00\", expect_size=\"30104576\"] \n  10 -> 37 [size =\"30104576\"]\n  10 -> 38 [size =\"30104576\"]\n  10 -> 43 [size =\"30104576\"]\n  10 -> 44 [size =\"30104576\"]\n  11 [size=\"114938880\", alpha=\"0.07\", expect_size=\"45975552\"] \n  11 -> 38 [size =\"45975552\"]\n  11 -> 40 [size =\"45975552\"]\n  11 -> 44 [size =\"45975552\"]\n  11 -> 44 [size =\"45975552\"]\n  12 [size=\"63720960\", alpha=\"0.16\", expect_size=\"25488384\"] \n  12 -> 38 [size =\"25488384\"]\n  12 -> 40 [size =\"25488384\"]\n  12 -> 43 [size =\"25488384\"]\n  12 -> 45 [size =\"25488384\"]\n  13 [size=\"111623680\", alpha=\"0.05\", expect_size=\"44649472\"] \n  13 -> 37 [size =\"44649472\"]\n  13 -> 38 [size =\"44649472\"]\n  13 -> 39 [size =\"44649472\"]\n  13 -> 43 [size =\"44649472\"]\n  14 [size=\"74424320\", alpha=\"0.02\", expect_size=\"29769728\"] \n  14 -> 37 [size =\"29769728\"]\n  14 -> 38 [size =\"29769728\"]\n  14 -> 39 [size =\"29769728\"]\n  14 -> 43 [size =\"29769728\"]\n  14 -> 45 [size =\"29769728\"]\n  15 [size=\"52234240\", alpha=\"0.16\", expect_size=\"20893696\"] \n  15 -> 37 [size =\"20893696\"]\n  15 -> 38 [size =\"20893696\"]\n  15 -> 40 [size =\"20893696\"]\n  15 -> 43 [size =\"20893696\"]\n  16 [size=\"98723840\", alpha=\"0.14\", expect_size=\"39489536\"] \n  16 -> 37 [size =\"39489536\"]\n  16 -> 39 [size =\"39489536\"]\n  16 -> 40 [size =\"39489536\"]\n  16 -> 45 [size =\"39489536\"]\n  17 [size=\"77401600\", alpha=\"0.16\", expect_size=\"30960640\"] \n  17 -> 37 [size =\"30960640\"]\n  17 -> 38 [size =\"30960640\"]\n  17 -> 40 [size =\"30960640\"]\n  17 -> 42 [size =\"30960640\"]\n  17 -> 43 [size =\"30960640\"]\n  17 -> 45 [size =\"30960640\"]\n  18 [size=\"104268800\", alpha=\"0.08\", expect_size=\"41707520\"] \n  18 -> 37 [size =\"41707520\"]\n  18 -> 38 [size =\"41707520\"]\n  18 -> 40 [size =\"41707520\"]\n  18 -> 42 [size =\"41707520\"]\n  18 -> 43 [size =\"41707520\"]\n  18 -> 44 [size =\"41707520\"]\n  19 [size=\"94643200\", alpha=\"0.04\", expect_size=\"37857280\"] \n  19 -> 37 [size =\"37857280\"]\n  19 -> 38 [size =\"37857280\"]\n  19 -> 40 [size =\"37857280\"]\n  19 -> 42 [size =\"37857280\"]\n  19 -> 44 [size =\"37857280\"]\n  20 [size=\"117875200\", alpha=\"0.06\", expect_size=\"47150080\"] \n  20 -> 37 [size =\"47150080\"]\n  20 -> 38 [size =\"47150080\"]\n  20 -> 40 [size =\"47150080\"]\n  20 -> 41 [size =\"47150080\"]\n  20 -> 44 [size =\"47150080\"]\n  21 [size=\"120455680\", alpha=\"0.11\", expect_size=\"48182272\"] \n  21 -> 37 [size =\"48182272\"]\n  21 -> 38 [size =\"48182272\"]\n  21 -> 40 [size =\"48182272\"]\n  21 -> 44 [size =\"48182272\"]\n  21 -> 44 [size =\"48182272\"]\n  21 -> 45 [size =\"48182272\"]\n  22 [size=\"44669440\", alpha=\"0.16\", expect_size=\"17867776\"] \n  22 -> 36 [size =\"17867776\"]\n  22 -> 38 [size =\"17867776\"]\n  22 -> 39 [size =\"17867776\"]\n  22 -> 40 [size =\"17867776\"]\n  22 -> 42 [size =\"17867776\"]\n  22 -> 45 [size =\"17867776\"]\n  23 [size=\"21895680\", alpha=\"0.10\", expect_size=\"8758272\"] \n  23 -> 36 [size =\"8758272\"]\n  23 -> 38 [size =\"8758272\"]\n  23 -> 40 [size =\"8758272\"]\n  23 -> 42 [size =\"8758272\"]\n  23 -> 43 [size =\"8758272\"]\n  24 [size=\"51499520\", alpha=\"0.11\", expect_size=\"20599808\"] \n  24 -> 37 [size =\"20599808\"]\n  24 -> 38 [size =\"20599808\"]\n  24 -> 40 [size =\"20599808\"]\n  24 -> 44 [size =\"20599808\"]\n  25 [size=\"64944640\", alpha=\"0.01\", expect_size=\"25977856\"] \n  25 -> 38 [size =\"25977856\"]\n  25 -> 40 [size =\"25977856\"]\n  25 -> 42 [size =\"25977856\"]\n  25 -> 43 [size =\"25977856\"]\n  25 -> 44 [size =\"25977856\"]\n  26 [size=\"43440640\", alpha=\"0.05\", expect_size=\"17376256\"] \n  26 -> 36 [size =\"17376256\"]\n  26 -> 38 [size =\"17376256\"]\n  26 -> 40 [size =\"17376256\"]\n  26 -> 43 [size =\"17376256\"]\n  26 -> 44 [size =\"17376256\"]\n  27 [size=\"128734720\", alpha=\"0.17\", expect_size=\"51493888\"] \n  27 -> 36 [size =\"51493888\"]\n  27 -> 43 [size =\"51493888\"]\n  27 -> 44 [size =\"51493888\"]\n  28 [size=\"102305280\", alpha=\"0.16\", expect_size=\"40922112\"] \n  28 -> 36 [size =\"40922112\"]\n  28 -> 37 [size =\"40922112\"]\n  28 -> 40 [size =\"40922112\"]\n  28 -> 43 [size =\"40922112\"]\n  28 -> 44 [size =\"40922112\"]\n  29 [size=\"29936640\", alpha=\"0.20\", expect_size=\"11974656\"] \n  29 -> 36 [size =\"11974656\"]\n  29 -> 40 [size =\"11974656\"]\n  29 -> 40 [size =\"11974656\"]\n  29 -> 42 [size =\"11974656\"]\n  29 -> 44 [size =\"11974656\"]\n  30 [size=\"54100480\", alpha=\"0.14\", expect_size=\"21640192\"] \n  30 -> 36 [size =\"21640192\"]\n  30 -> 38 [size =\"21640192\"]\n  30 -> 42 [size =\"21640192\"]\n  30 -> 43 [size =\"21640192\"]\n  30 -> 44 [size =\"21640192\"]\n  31 [size=\"88793600\", alpha=\"0.06\", expect_size=\"35517440\"] \n  31 -> 40 [size =\"35517440\"]\n  31 -> 42 [size =\"35517440\"]\n  31 -> 42 [size =\"35517440\"]\n  31 -> 43 [size =\"35517440\"]\n  32 [size=\"36162560\", alpha=\"0.06\", expect_size=\"14465024\"] \n  32 -> 37 [size =\"14465024\"]\n  32 -> 38 [size =\"14465024\"]\n  32 -> 40 [size =\"14465024\"]\n  33 [size=\"14763520\", alpha=\"0.03\", expect_size=\"5905408\"] \n  33 -> 37 [size =\"5905408\"]\n  33 -> 38 [size =\"5905408\"]\n  33 -> 41 [size =\"5905408\"]\n  34 [size=\"70871040\", alpha=\"0.10\", expect_size=\"28348416\"] \n  34 -> 37 [size =\"28348416\"]\n  34 -> 38 [size =\"28348416\"]\n  34 -> 41 [size =\"28348416\"]\n  35 [size=\"15060480\", alpha=\"0.04\", expect_size=\"6024192\"] \n  35 -> 42 [size =\"6024192\"]\n  35 -> 43 [size =\"6024192\"]\n  35 -> 44 [size =\"6024192\"]\n  36 [size=\"21025280\", alpha=\"0.13\", expect_size=\"8410112\"] \n  37 [size=\"50849280\", alpha=\"0.12\", expect_size=\"20339712\"] \n  38 [size=\"36044800\", alpha=\"0.07\", expect_size=\"14417920\"] \n  39 [size=\"129533440\", alpha=\"0.16\", expect_size=\"51813376\"] \n  40 [size=\"127795200\", alpha=\"0.02\", expect_size=\"51118080\"] \n  41 [size=\"92981760\", alpha=\"0.07\", expect_size=\"37192704\"] \n  42 [size=\"126929920\", alpha=\"0.17\", expect_size=\"50771968\"] \n  43 [size=\"44321280\", alpha=\"0.08\", expect_size=\"17728512\"] \n  44 [size=\"61639680\", alpha=\"0.06\", expect_size=\"24655872\"] \n  45 [size=\"122242560\", alpha=\"0.13\", expect_size=\"48897024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64919552\", alpha=\"0.17\", expect_size=\"32459776\"] \n  1 -> 33 [size =\"32459776\"]\n  1 -> 35 [size =\"32459776\"]\n  1 -> 36 [size =\"32459776\"]\n  1 -> 38 [size =\"32459776\"]\n  1 -> 41 [size =\"32459776\"]\n  1 -> 43 [size =\"32459776\"]\n  1 -> 44 [size =\"32459776\"]\n  2 [size=\"73285632\", alpha=\"0.16\", expect_size=\"36642816\"] \n  2 -> 36 [size =\"36642816\"]\n  2 -> 41 [size =\"36642816\"]\n  2 -> 43 [size =\"36642816\"]\n  2 -> 44 [size =\"36642816\"]\n  3 [size=\"86581248\", alpha=\"0.04\", expect_size=\"43290624\"] \n  3 -> 36 [size =\"43290624\"]\n  3 -> 44 [size =\"43290624\"]\n  4 [size=\"46061568\", alpha=\"0.19\", expect_size=\"23030784\"] \n  4 -> 36 [size =\"23030784\"]\n  4 -> 38 [size =\"23030784\"]\n  4 -> 39 [size =\"23030784\"]\n  4 -> 40 [size =\"23030784\"]\n  4 -> 42 [size =\"23030784\"]\n  4 -> 44 [size =\"23030784\"]\n  5 [size=\"99536896\", alpha=\"0.19\", expect_size=\"49768448\"] \n  5 -> 36 [size =\"49768448\"]\n  5 -> 43 [size =\"49768448\"]\n  5 -> 44 [size =\"49768448\"]\n  6 [size=\"54558720\", alpha=\"0.16\", expect_size=\"27279360\"] \n  6 -> 36 [size =\"27279360\"]\n  6 -> 38 [size =\"27279360\"]\n  6 -> 41 [size =\"27279360\"]\n  6 -> 43 [size =\"27279360\"]\n  7 [size=\"70043648\", alpha=\"0.17\", expect_size=\"35021824\"] \n  7 -> 36 [size =\"35021824\"]\n  7 -> 38 [size =\"35021824\"]\n  7 -> 43 [size =\"35021824\"]\n  7 -> 43 [size =\"35021824\"]\n  8 [size=\"48525312\", alpha=\"0.17\", expect_size=\"24262656\"] \n  8 -> 33 [size =\"24262656\"]\n  8 -> 44 [size =\"24262656\"]\n  8 -> 45 [size =\"24262656\"]\n  9 [size=\"47843328\", alpha=\"0.19\", expect_size=\"23921664\"] \n  9 -> 34 [size =\"23921664\"]\n  9 -> 39 [size =\"23921664\"]\n  9 -> 44 [size =\"23921664\"]\n  10 [size=\"53743616\", alpha=\"0.17\", expect_size=\"26871808\"] \n  10 -> 34 [size =\"26871808\"]\n  10 -> 35 [size =\"26871808\"]\n  10 -> 36 [size =\"26871808\"]\n  11 [size=\"13473792\", alpha=\"0.13\", expect_size=\"6736896\"] \n  11 -> 36 [size =\"6736896\"]\n  11 -> 38 [size =\"6736896\"]\n  11 -> 39 [size =\"6736896\"]\n  11 -> 40 [size =\"6736896\"]\n  11 -> 43 [size =\"6736896\"]\n  11 -> 44 [size =\"6736896\"]\n  11 -> 45 [size =\"6736896\"]\n  12 [size=\"95113216\", alpha=\"0.04\", expect_size=\"47556608\"] \n  12 -> 43 [size =\"47556608\"]\n  12 -> 44 [size =\"47556608\"]\n  12 -> 45 [size =\"47556608\"]\n  13 [size=\"75085824\", alpha=\"0.18\", expect_size=\"37542912\"] \n  13 -> 35 [size =\"37542912\"]\n  13 -> 38 [size =\"37542912\"]\n  13 -> 39 [size =\"37542912\"]\n  13 -> 42 [size =\"37542912\"]\n  13 -> 43 [size =\"37542912\"]\n  13 -> 44 [size =\"37542912\"]\n  14 [size=\"94808064\", alpha=\"0.09\", expect_size=\"47404032\"] \n  14 -> 36 [size =\"47404032\"]\n  14 -> 38 [size =\"47404032\"]\n  14 -> 40 [size =\"47404032\"]\n  14 -> 41 [size =\"47404032\"]\n  14 -> 42 [size =\"47404032\"]\n  14 -> 43 [size =\"47404032\"]\n  14 -> 44 [size =\"47404032\"]\n  14 -> 45 [size =\"47404032\"]\n  15 [size=\"91254784\", alpha=\"0.00\", expect_size=\"45627392\"] \n  15 -> 35 [size =\"45627392\"]\n  15 -> 36 [size =\"45627392\"]\n  16 [size=\"84942848\", alpha=\"0.00\", expect_size=\"42471424\"] \n  16 -> 34 [size =\"42471424\"]\n  16 -> 35 [size =\"42471424\"]\n  16 -> 36 [size =\"42471424\"]\n  16 -> 38 [size =\"42471424\"]\n  16 -> 39 [size =\"42471424\"]\n  16 -> 42 [size =\"42471424\"]\n  16 -> 44 [size =\"42471424\"]\n  17 [size=\"65869824\", alpha=\"0.09\", expect_size=\"32934912\"] \n  17 -> 35 [size =\"32934912\"]\n  17 -> 35 [size =\"32934912\"]\n  17 -> 36 [size =\"32934912\"]\n  17 -> 38 [size =\"32934912\"]\n  17 -> 44 [size =\"32934912\"]\n  18 [size=\"49647616\", alpha=\"0.15\", expect_size=\"24823808\"] \n  18 -> 34 [size =\"24823808\"]\n  18 -> 36 [size =\"24823808\"]\n  18 -> 39 [size =\"24823808\"]\n  18 -> 43 [size =\"24823808\"]\n  18 -> 44 [size =\"24823808\"]\n  19 [size=\"35186688\", alpha=\"0.03\", expect_size=\"17593344\"] \n  19 -> 33 [size =\"17593344\"]\n  19 -> 35 [size =\"17593344\"]\n  19 -> 39 [size =\"17593344\"]\n  19 -> 41 [size =\"17593344\"]\n  19 -> 43 [size =\"17593344\"]\n  19 -> 44 [size =\"17593344\"]\n  20 [size=\"31719424\", alpha=\"0.02\", expect_size=\"15859712\"] \n  20 -> 33 [size =\"15859712\"]\n  20 -> 34 [size =\"15859712\"]\n  20 -> 35 [size =\"15859712\"]\n  20 -> 38 [size =\"15859712\"]\n  20 -> 40 [size =\"15859712\"]\n  20 -> 44 [size =\"15859712\"]\n  21 [size=\"18622464\", alpha=\"0.12\", expect_size=\"9311232\"] \n  21 -> 33 [size =\"9311232\"]\n  21 -> 34 [size =\"9311232\"]\n  21 -> 38 [size =\"9311232\"]\n  21 -> 44 [size =\"9311232\"]\n  22 [size=\"80418816\", alpha=\"0.15\", expect_size=\"40209408\"] \n  22 -> 34 [size =\"40209408\"]\n  22 -> 36 [size =\"40209408\"]\n  22 -> 37 [size =\"40209408\"]\n  22 -> 41 [size =\"40209408\"]\n  22 -> 43 [size =\"40209408\"]\n  22 -> 44 [size =\"40209408\"]\n  23 [size=\"97826816\", alpha=\"0.15\", expect_size=\"48913408\"] \n  23 -> 33 [size =\"48913408\"]\n  23 -> 34 [size =\"48913408\"]\n  23 -> 35 [size =\"48913408\"]\n  23 -> 38 [size =\"48913408\"]\n  23 -> 41 [size =\"48913408\"]\n  23 -> 44 [size =\"48913408\"]\n  24 [size=\"86429696\", alpha=\"0.02\", expect_size=\"43214848\"] \n  24 -> 34 [size =\"43214848\"]\n  24 -> 35 [size =\"43214848\"]\n  24 -> 36 [size =\"43214848\"]\n  24 -> 38 [size =\"43214848\"]\n  24 -> 39 [size =\"43214848\"]\n  24 -> 41 [size =\"43214848\"]\n  24 -> 43 [size =\"43214848\"]\n  25 [size=\"33810432\", alpha=\"0.08\", expect_size=\"16905216\"] \n  25 -> 33 [size =\"16905216\"]\n  25 -> 38 [size =\"16905216\"]\n  25 -> 39 [size =\"16905216\"]\n  25 -> 43 [size =\"16905216\"]\n  25 -> 45 [size =\"16905216\"]\n  26 [size=\"35770368\", alpha=\"0.03\", expect_size=\"17885184\"] \n  26 -> 36 [size =\"17885184\"]\n  26 -> 38 [size =\"17885184\"]\n  26 -> 39 [size =\"17885184\"]\n  26 -> 40 [size =\"17885184\"]\n  26 -> 44 [size =\"17885184\"]\n  27 [size=\"35850240\", alpha=\"0.11\", expect_size=\"17925120\"] \n  27 -> 33 [size =\"17925120\"]\n  27 -> 35 [size =\"17925120\"]\n  27 -> 38 [size =\"17925120\"]\n  27 -> 40 [size =\"17925120\"]\n  27 -> 43 [size =\"17925120\"]\n  27 -> 44 [size =\"17925120\"]\n  27 -> 45 [size =\"17925120\"]\n  28 [size=\"79345664\", alpha=\"0.07\", expect_size=\"39672832\"] \n  28 -> 33 [size =\"39672832\"]\n  28 -> 35 [size =\"39672832\"]\n  28 -> 38 [size =\"39672832\"]\n  28 -> 41 [size =\"39672832\"]\n  28 -> 43 [size =\"39672832\"]\n  28 -> 44 [size =\"39672832\"]\n  29 [size=\"56115200\", alpha=\"0.11\", expect_size=\"28057600\"] \n  29 -> 35 [size =\"28057600\"]\n  29 -> 38 [size =\"28057600\"]\n  29 -> 38 [size =\"28057600\"]\n  29 -> 41 [size =\"28057600\"]\n  29 -> 43 [size =\"28057600\"]\n  30 [size=\"70387712\", alpha=\"0.04\", expect_size=\"35193856\"] \n  30 -> 34 [size =\"35193856\"]\n  30 -> 35 [size =\"35193856\"]\n  30 -> 36 [size =\"35193856\"]\n  30 -> 37 [size =\"35193856\"]\n  30 -> 38 [size =\"35193856\"]\n  30 -> 41 [size =\"35193856\"]\n  30 -> 43 [size =\"35193856\"]\n  31 [size=\"77920256\", alpha=\"0.18\", expect_size=\"38960128\"] \n  31 -> 33 [size =\"38960128\"]\n  31 -> 36 [size =\"38960128\"]\n  31 -> 38 [size =\"38960128\"]\n  31 -> 41 [size =\"38960128\"]\n  31 -> 43 [size =\"38960128\"]\n  31 -> 44 [size =\"38960128\"]\n  32 [size=\"38772736\", alpha=\"0.09\", expect_size=\"19386368\"] \n  32 -> 33 [size =\"19386368\"]\n  32 -> 36 [size =\"19386368\"]\n  32 -> 38 [size =\"19386368\"]\n  32 -> 39 [size =\"19386368\"]\n  32 -> 41 [size =\"19386368\"]\n  32 -> 43 [size =\"19386368\"]\n  33 [size=\"15749120\", alpha=\"0.15\", expect_size=\"7874560\"] \n  34 [size=\"84942848\", alpha=\"0.18\", expect_size=\"42471424\"] \n  35 [size=\"93188096\", alpha=\"0.18\", expect_size=\"46594048\"] \n  36 [size=\"35166208\", alpha=\"0.14\", expect_size=\"17583104\"] \n  37 [size=\"49319936\", alpha=\"0.02\", expect_size=\"24659968\"] \n  38 [size=\"100837376\", alpha=\"0.18\", expect_size=\"50418688\"] \n  39 [size=\"39014400\", alpha=\"0.19\", expect_size=\"19507200\"] \n  40 [size=\"89954304\", alpha=\"0.05\", expect_size=\"44977152\"] \n  41 [size=\"13801472\", alpha=\"0.13\", expect_size=\"6900736\"] \n  42 [size=\"96655360\", alpha=\"0.15\", expect_size=\"48327680\"] \n  43 [size=\"45660160\", alpha=\"0.16\", expect_size=\"22830080\"] \n  44 [size=\"19787776\", alpha=\"0.13\", expect_size=\"9893888\"] \n  45 [size=\"103362560\", alpha=\"0.15\", expect_size=\"51681280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106352640\", alpha=\"0.05\", expect_size=\"31905792\"] \n  1 -> 2 [size =\"31905792\"]\n  2 [size=\"29071360\", alpha=\"0.18\", expect_size=\"8721408\"] \n  2 -> 3 [size =\"8721408\"]\n  3 [size=\"74871467\", alpha=\"0.13\", expect_size=\"22461440\"] \n  3 -> 4 [size =\"22461440\"]\n  4 [size=\"21913600\", alpha=\"0.09\", expect_size=\"6574080\"] \n  4 -> 5 [size =\"6574080\"]\n  5 [size=\"153470293\", alpha=\"0.12\", expect_size=\"46041088\"] \n  5 -> 6 [size =\"46041088\"]\n  6 [size=\"92221440\", alpha=\"0.18\", expect_size=\"27666432\"] \n  6 -> 7 [size =\"27666432\"]\n  7 [size=\"173090133\", alpha=\"0.13\", expect_size=\"51927040\"] \n  7 -> 8 [size =\"51927040\"]\n  8 [size=\"134103040\", alpha=\"0.12\", expect_size=\"40230912\"] \n  8 -> 9 [size =\"40230912\"]\n  9 [size=\"76786347\", alpha=\"0.09\", expect_size=\"23035904\"] \n  9 -> 10 [size =\"23035904\"]\n  10 [size=\"135014400\", alpha=\"0.14\", expect_size=\"40504320\"] \n  10 -> 11 [size =\"40504320\"]\n  11 [size=\"47561387\", alpha=\"0.09\", expect_size=\"14268416\"] \n  11 -> 12 [size =\"14268416\"]\n  12 [size=\"86835200\", alpha=\"0.01\", expect_size=\"26050560\"] \n  12 -> 13 [size =\"26050560\"]\n  13 [size=\"68358827\", alpha=\"0.15\", expect_size=\"20507648\"] \n  13 -> 14 [size =\"20507648\"]\n  14 [size=\"167406933\", alpha=\"0.15\", expect_size=\"50222080\"] \n  14 -> 15 [size =\"50222080\"]\n  15 [size=\"81100800\", alpha=\"0.10\", expect_size=\"24330240\"] \n  15 -> 16 [size =\"24330240\"]\n  16 [size=\"21193387\", alpha=\"0.20\", expect_size=\"6358016\"] \n  16 -> 17 [size =\"6358016\"]\n  17 [size=\"163645440\", alpha=\"0.07\", expect_size=\"49093632\"] \n  17 -> 18 [size =\"49093632\"]\n  18 [size=\"105601707\", alpha=\"0.04\", expect_size=\"31680512\"] \n  18 -> 19 [size =\"31680512\"]\n  19 [size=\"44885333\", alpha=\"0.09\", expect_size=\"13465600\"] \n  19 -> 20 [size =\"13465600\"]\n  20 [size=\"118562133\", alpha=\"0.07\", expect_size=\"35568640\"] \n  20 -> 21 [size =\"35568640\"]\n  21 [size=\"71017813\", alpha=\"0.16\", expect_size=\"21305344\"] \n  21 -> 22 [size =\"21305344\"]\n  22 [size=\"139530240\", alpha=\"0.07\", expect_size=\"41859072\"] \n  22 -> 23 [size =\"41859072\"]\n  23 [size=\"147947520\", alpha=\"0.05\", expect_size=\"44384256\"] \n  23 -> 24 [size =\"44384256\"]\n  24 [size=\"109615787\", alpha=\"0.03\", expect_size=\"32884736\"] \n  24 -> 25 [size =\"32884736\"]\n  25 [size=\"67334827\", alpha=\"0.19\", expect_size=\"20200448\"] \n  25 -> 26 [size =\"20200448\"]\n  26 [size=\"148893013\", alpha=\"0.04\", expect_size=\"44667904\"] \n  26 -> 27 [size =\"44667904\"]\n  27 [size=\"148186453\", alpha=\"0.09\", expect_size=\"44455936\"] \n  27 -> 28 [size =\"44455936\"]\n  28 [size=\"45950293\", alpha=\"0.09\", expect_size=\"13785088\"] \n  28 -> 29 [size =\"13785088\"]\n  29 [size=\"76755627\", alpha=\"0.16\", expect_size=\"23026688\"] \n  29 -> 30 [size =\"23026688\"]\n  30 [size=\"148875947\", alpha=\"0.18\", expect_size=\"44662784\"] \n  30 -> 31 [size =\"44662784\"]\n  31 [size=\"46366720\", alpha=\"0.05\", expect_size=\"13910016\"] \n  31 -> 32 [size =\"13910016\"]\n  32 [size=\"172683947\", alpha=\"0.20\", expect_size=\"51805184\"] \n  32 -> 33 [size =\"51805184\"]\n  33 [size=\"67560107\", alpha=\"0.01\", expect_size=\"20268032\"] \n  33 -> 34 [size =\"20268032\"]\n  34 [size=\"102966613\", alpha=\"0.02\", expect_size=\"30889984\"] \n  34 -> 35 [size =\"30889984\"]\n  35 [size=\"126061227\", alpha=\"0.10\", expect_size=\"37818368\"] \n  35 -> 36 [size =\"37818368\"]\n  36 [size=\"115548160\", alpha=\"0.19\", expect_size=\"34664448\"] \n  36 -> 37 [size =\"34664448\"]\n  37 [size=\"146176000\", alpha=\"0.07\", expect_size=\"43852800\"] \n  37 -> 38 [size =\"43852800\"]\n  38 [size=\"58989227\", alpha=\"0.06\", expect_size=\"17696768\"] \n  38 -> 39 [size =\"17696768\"]\n  39 [size=\"127904427\", alpha=\"0.08\", expect_size=\"38371328\"] \n  39 -> 40 [size =\"38371328\"]\n  40 [size=\"97658880\", alpha=\"0.03\", expect_size=\"29297664\"] \n  40 -> 41 [size =\"29297664\"]\n  41 [size=\"85797547\", alpha=\"0.05\", expect_size=\"25739264\"] \n  41 -> 42 [size =\"25739264\"]\n  42 [size=\"122402133\", alpha=\"0.03\", expect_size=\"36720640\"] \n  42 -> 43 [size =\"36720640\"]\n  43 [size=\"119545173\", alpha=\"0.17\", expect_size=\"35863552\"] \n  43 -> 44 [size =\"35863552\"]\n  44 [size=\"128119467\", alpha=\"0.03\", expect_size=\"38435840\"] \n  44 -> 45 [size =\"38435840\"]\n  45 [size=\"140765867\", alpha=\"0.15\", expect_size=\"42229760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32151040\", alpha=\"0.01\", expect_size=\"12860416\"] \n  1 -> 2 [size =\"12860416\"]\n  2 [size=\"34252800\", alpha=\"0.20\", expect_size=\"13701120\"] \n  2 -> 3 [size =\"13701120\"]\n  3 [size=\"82959360\", alpha=\"0.02\", expect_size=\"33183744\"] \n  3 -> 4 [size =\"33183744\"]\n  4 [size=\"68592640\", alpha=\"0.07\", expect_size=\"27437056\"] \n  4 -> 5 [size =\"27437056\"]\n  5 [size=\"35975680\", alpha=\"0.13\", expect_size=\"14390272\"] \n  5 -> 6 [size =\"14390272\"]\n  6 [size=\"59537920\", alpha=\"0.16\", expect_size=\"23815168\"] \n  6 -> 7 [size =\"23815168\"]\n  7 [size=\"109345280\", alpha=\"0.11\", expect_size=\"43738112\"] \n  7 -> 8 [size =\"43738112\"]\n  8 [size=\"111667200\", alpha=\"0.15\", expect_size=\"44666880\"] \n  8 -> 9 [size =\"44666880\"]\n  9 [size=\"109665280\", alpha=\"0.09\", expect_size=\"43866112\"] \n  9 -> 10 [size =\"43866112\"]\n  10 [size=\"77158400\", alpha=\"0.16\", expect_size=\"30863360\"] \n  10 -> 11 [size =\"30863360\"]\n  11 [size=\"122854400\", alpha=\"0.02\", expect_size=\"49141760\"] \n  11 -> 12 [size =\"49141760\"]\n  12 [size=\"127480320\", alpha=\"0.13\", expect_size=\"50992128\"] \n  12 -> 13 [size =\"50992128\"]\n  13 [size=\"124574720\", alpha=\"0.17\", expect_size=\"49829888\"] \n  13 -> 14 [size =\"49829888\"]\n  14 [size=\"18872320\", alpha=\"0.05\", expect_size=\"7548928\"] \n  14 -> 15 [size =\"7548928\"]\n  15 [size=\"60779520\", alpha=\"0.07\", expect_size=\"24311808\"] \n  15 -> 16 [size =\"24311808\"]\n  16 [size=\"22282240\", alpha=\"0.16\", expect_size=\"8912896\"] \n  16 -> 17 [size =\"8912896\"]\n  17 [size=\"119109120\", alpha=\"0.09\", expect_size=\"47643648\"] \n  17 -> 18 [size =\"47643648\"]\n  18 [size=\"64696320\", alpha=\"0.05\", expect_size=\"25878528\"] \n  18 -> 19 [size =\"25878528\"]\n  19 [size=\"32455680\", alpha=\"0.17\", expect_size=\"12982272\"] \n  19 -> 20 [size =\"12982272\"]\n  20 [size=\"84805120\", alpha=\"0.03\", expect_size=\"33922048\"] \n  20 -> 21 [size =\"33922048\"]\n  21 [size=\"64076800\", alpha=\"0.13\", expect_size=\"25630720\"] \n  21 -> 22 [size =\"25630720\"]\n  22 [size=\"77739520\", alpha=\"0.07\", expect_size=\"31095808\"] \n  22 -> 23 [size =\"31095808\"]\n  23 [size=\"36894720\", alpha=\"0.12\", expect_size=\"14757888\"] \n  23 -> 24 [size =\"14757888\"]\n  24 [size=\"20508160\", alpha=\"0.07\", expect_size=\"8203264\"] \n  24 -> 25 [size =\"8203264\"]\n  25 [size=\"52472320\", alpha=\"0.05\", expect_size=\"20988928\"] \n  25 -> 26 [size =\"20988928\"]\n  26 [size=\"93754880\", alpha=\"0.11\", expect_size=\"37501952\"] \n  26 -> 27 [size =\"37501952\"]\n  27 [size=\"71280640\", alpha=\"0.14\", expect_size=\"28512256\"] \n  27 -> 28 [size =\"28512256\"]\n  28 [size=\"122542080\", alpha=\"0.14\", expect_size=\"49016832\"] \n  28 -> 29 [size =\"49016832\"]\n  29 [size=\"36546560\", alpha=\"0.09\", expect_size=\"14618624\"] \n  29 -> 30 [size =\"14618624\"]\n  30 [size=\"18106880\", alpha=\"0.16\", expect_size=\"7242752\"] \n  30 -> 31 [size =\"7242752\"]\n  31 [size=\"38499840\", alpha=\"0.01\", expect_size=\"15399936\"] \n  31 -> 32 [size =\"15399936\"]\n  32 [size=\"116776960\", alpha=\"0.06\", expect_size=\"46710784\"] \n  32 -> 33 [size =\"46710784\"]\n  33 [size=\"38151680\", alpha=\"0.10\", expect_size=\"15260672\"] \n  33 -> 34 [size =\"15260672\"]\n  34 [size=\"108405760\", alpha=\"0.14\", expect_size=\"43362304\"] \n  34 -> 35 [size =\"43362304\"]\n  35 [size=\"29135360\", alpha=\"0.07\", expect_size=\"11654144\"] \n  35 -> 36 [size =\"11654144\"]\n  36 [size=\"59141120\", alpha=\"0.01\", expect_size=\"23656448\"] \n  36 -> 37 [size =\"23656448\"]\n  37 [size=\"126886400\", alpha=\"0.13\", expect_size=\"50754560\"] \n  37 -> 38 [size =\"50754560\"]\n  38 [size=\"92684800\", alpha=\"0.14\", expect_size=\"37073920\"] \n  38 -> 39 [size =\"37073920\"]\n  39 [size=\"55096320\", alpha=\"0.18\", expect_size=\"22038528\"] \n  39 -> 40 [size =\"22038528\"]\n  40 [size=\"110681600\", alpha=\"0.14\", expect_size=\"44272640\"] \n  40 -> 41 [size =\"44272640\"]\n  41 [size=\"87559680\", alpha=\"0.19\", expect_size=\"35023872\"] \n  41 -> 42 [size =\"35023872\"]\n  42 [size=\"95480320\", alpha=\"0.15\", expect_size=\"38192128\"] \n  42 -> 43 [size =\"38192128\"]\n  43 [size=\"130854400\", alpha=\"0.15\", expect_size=\"52341760\"] \n  43 -> 44 [size =\"52341760\"]\n  44 [size=\"69217280\", alpha=\"0.16\", expect_size=\"27686912\"] \n  44 -> 45 [size =\"27686912\"]\n  45 [size=\"34304000\", alpha=\"0.04\", expect_size=\"13721600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94773248\", alpha=\"0.09\", expect_size=\"47386624\"] \n  1 -> 31 [size =\"47386624\"]\n  1 -> 34 [size =\"47386624\"]\n  1 -> 34 [size =\"47386624\"]\n  1 -> 37 [size =\"47386624\"]\n  1 -> 37 [size =\"47386624\"]\n  1 -> 38 [size =\"47386624\"]\n  1 -> 39 [size =\"47386624\"]\n  1 -> 42 [size =\"47386624\"]\n  1 -> 44 [size =\"47386624\"]\n  2 [size=\"103989248\", alpha=\"0.01\", expect_size=\"51994624\"] \n  2 -> 33 [size =\"51994624\"]\n  2 -> 37 [size =\"51994624\"]\n  2 -> 38 [size =\"51994624\"]\n  2 -> 42 [size =\"51994624\"]\n  2 -> 44 [size =\"51994624\"]\n  3 [size=\"70850560\", alpha=\"0.15\", expect_size=\"35425280\"] \n  3 -> 31 [size =\"35425280\"]\n  3 -> 35 [size =\"35425280\"]\n  3 -> 37 [size =\"35425280\"]\n  3 -> 38 [size =\"35425280\"]\n  3 -> 39 [size =\"35425280\"]\n  3 -> 41 [size =\"35425280\"]\n  3 -> 42 [size =\"35425280\"]\n  4 [size=\"90572800\", alpha=\"0.05\", expect_size=\"45286400\"] \n  4 -> 31 [size =\"45286400\"]\n  4 -> 34 [size =\"45286400\"]\n  4 -> 38 [size =\"45286400\"]\n  4 -> 42 [size =\"45286400\"]\n  5 [size=\"94793728\", alpha=\"0.00\", expect_size=\"47396864\"] \n  5 -> 31 [size =\"47396864\"]\n  5 -> 34 [size =\"47396864\"]\n  5 -> 37 [size =\"47396864\"]\n  5 -> 38 [size =\"47396864\"]\n  5 -> 39 [size =\"47396864\"]\n  5 -> 42 [size =\"47396864\"]\n  5 -> 44 [size =\"47396864\"]\n  6 [size=\"62627840\", alpha=\"0.05\", expect_size=\"31313920\"] \n  6 -> 31 [size =\"31313920\"]\n  6 -> 34 [size =\"31313920\"]\n  6 -> 35 [size =\"31313920\"]\n  6 -> 40 [size =\"31313920\"]\n  6 -> 42 [size =\"31313920\"]\n  6 -> 44 [size =\"31313920\"]\n  6 -> 45 [size =\"31313920\"]\n  7 [size=\"16609280\", alpha=\"0.01\", expect_size=\"8304640\"] \n  7 -> 31 [size =\"8304640\"]\n  7 -> 33 [size =\"8304640\"]\n  7 -> 34 [size =\"8304640\"]\n  7 -> 35 [size =\"8304640\"]\n  7 -> 37 [size =\"8304640\"]\n  7 -> 38 [size =\"8304640\"]\n  7 -> 39 [size =\"8304640\"]\n  7 -> 42 [size =\"8304640\"]\n  7 -> 43 [size =\"8304640\"]\n  8 [size=\"22663168\", alpha=\"0.14\", expect_size=\"11331584\"] \n  8 -> 31 [size =\"11331584\"]\n  8 -> 33 [size =\"11331584\"]\n  8 -> 34 [size =\"11331584\"]\n  8 -> 35 [size =\"11331584\"]\n  8 -> 38 [size =\"11331584\"]\n  8 -> 39 [size =\"11331584\"]\n  8 -> 39 [size =\"11331584\"]\n  8 -> 45 [size =\"11331584\"]\n  9 [size=\"72130560\", alpha=\"0.00\", expect_size=\"36065280\"] \n  9 -> 31 [size =\"36065280\"]\n  9 -> 33 [size =\"36065280\"]\n  9 -> 34 [size =\"36065280\"]\n  9 -> 35 [size =\"36065280\"]\n  9 -> 38 [size =\"36065280\"]\n  9 -> 42 [size =\"36065280\"]\n  9 -> 45 [size =\"36065280\"]\n  10 [size=\"89718784\", alpha=\"0.11\", expect_size=\"44859392\"] \n  10 -> 34 [size =\"44859392\"]\n  10 -> 35 [size =\"44859392\"]\n  10 -> 37 [size =\"44859392\"]\n  10 -> 38 [size =\"44859392\"]\n  10 -> 39 [size =\"44859392\"]\n  10 -> 42 [size =\"44859392\"]\n  10 -> 44 [size =\"44859392\"]\n  11 [size=\"94533632\", alpha=\"0.16\", expect_size=\"47266816\"] \n  11 -> 34 [size =\"47266816\"]\n  11 -> 35 [size =\"47266816\"]\n  11 -> 39 [size =\"47266816\"]\n  11 -> 41 [size =\"47266816\"]\n  11 -> 42 [size =\"47266816\"]\n  11 -> 42 [size =\"47266816\"]\n  11 -> 44 [size =\"47266816\"]\n  12 [size=\"44369920\", alpha=\"0.20\", expect_size=\"22184960\"] \n  12 -> 33 [size =\"22184960\"]\n  12 -> 34 [size =\"22184960\"]\n  12 -> 35 [size =\"22184960\"]\n  12 -> 37 [size =\"22184960\"]\n  12 -> 42 [size =\"22184960\"]\n  12 -> 44 [size =\"22184960\"]\n  12 -> 44 [size =\"22184960\"]\n  13 [size=\"49747968\", alpha=\"0.04\", expect_size=\"24873984\"] \n  13 -> 31 [size =\"24873984\"]\n  13 -> 33 [size =\"24873984\"]\n  13 -> 35 [size =\"24873984\"]\n  13 -> 39 [size =\"24873984\"]\n  14 [size=\"27551744\", alpha=\"0.13\", expect_size=\"13775872\"] \n  14 -> 33 [size =\"13775872\"]\n  14 -> 33 [size =\"13775872\"]\n  14 -> 35 [size =\"13775872\"]\n  14 -> 37 [size =\"13775872\"]\n  14 -> 38 [size =\"13775872\"]\n  14 -> 39 [size =\"13775872\"]\n  15 [size=\"53219328\", alpha=\"0.10\", expect_size=\"26609664\"] \n  15 -> 32 [size =\"26609664\"]\n  15 -> 33 [size =\"26609664\"]\n  15 -> 35 [size =\"26609664\"]\n  15 -> 37 [size =\"26609664\"]\n  15 -> 38 [size =\"26609664\"]\n  15 -> 39 [size =\"26609664\"]\n  15 -> 40 [size =\"26609664\"]\n  15 -> 43 [size =\"26609664\"]\n  16 [size=\"55277568\", alpha=\"0.03\", expect_size=\"27638784\"] \n  16 -> 31 [size =\"27638784\"]\n  16 -> 33 [size =\"27638784\"]\n  16 -> 34 [size =\"27638784\"]\n  16 -> 35 [size =\"27638784\"]\n  16 -> 37 [size =\"27638784\"]\n  16 -> 38 [size =\"27638784\"]\n  16 -> 39 [size =\"27638784\"]\n  16 -> 41 [size =\"27638784\"]\n  16 -> 44 [size =\"27638784\"]\n  16 -> 45 [size =\"27638784\"]\n  17 [size=\"80584704\", alpha=\"0.19\", expect_size=\"40292352\"] \n  17 -> 31 [size =\"40292352\"]\n  17 -> 34 [size =\"40292352\"]\n  17 -> 34 [size =\"40292352\"]\n  17 -> 35 [size =\"40292352\"]\n  17 -> 37 [size =\"40292352\"]\n  17 -> 38 [size =\"40292352\"]\n  17 -> 42 [size =\"40292352\"]\n  17 -> 44 [size =\"40292352\"]\n  18 [size=\"84783104\", alpha=\"0.02\", expect_size=\"42391552\"] \n  18 -> 31 [size =\"42391552\"]\n  18 -> 35 [size =\"42391552\"]\n  18 -> 36 [size =\"42391552\"]\n  18 -> 37 [size =\"42391552\"]\n  18 -> 38 [size =\"42391552\"]\n  18 -> 39 [size =\"42391552\"]\n  18 -> 40 [size =\"42391552\"]\n  18 -> 42 [size =\"42391552\"]\n  18 -> 44 [size =\"42391552\"]\n  19 [size=\"58593280\", alpha=\"0.04\", expect_size=\"29296640\"] \n  19 -> 31 [size =\"29296640\"]\n  19 -> 35 [size =\"29296640\"]\n  19 -> 37 [size =\"29296640\"]\n  19 -> 38 [size =\"29296640\"]\n  19 -> 44 [size =\"29296640\"]\n  20 [size=\"60368896\", alpha=\"0.16\", expect_size=\"30184448\"] \n  20 -> 33 [size =\"30184448\"]\n  20 -> 34 [size =\"30184448\"]\n  20 -> 35 [size =\"30184448\"]\n  20 -> 37 [size =\"30184448\"]\n  20 -> 38 [size =\"30184448\"]\n  20 -> 39 [size =\"30184448\"]\n  20 -> 42 [size =\"30184448\"]\n  20 -> 44 [size =\"30184448\"]\n  21 [size=\"19562496\", alpha=\"0.07\", expect_size=\"9781248\"] \n  21 -> 32 [size =\"9781248\"]\n  21 -> 33 [size =\"9781248\"]\n  21 -> 34 [size =\"9781248\"]\n  21 -> 35 [size =\"9781248\"]\n  21 -> 37 [size =\"9781248\"]\n  21 -> 38 [size =\"9781248\"]\n  21 -> 39 [size =\"9781248\"]\n  21 -> 42 [size =\"9781248\"]\n  21 -> 44 [size =\"9781248\"]\n  22 [size=\"93413376\", alpha=\"0.17\", expect_size=\"46706688\"] \n  22 -> 32 [size =\"46706688\"]\n  22 -> 33 [size =\"46706688\"]\n  22 -> 34 [size =\"46706688\"]\n  22 -> 35 [size =\"46706688\"]\n  22 -> 37 [size =\"46706688\"]\n  22 -> 38 [size =\"46706688\"]\n  22 -> 39 [size =\"46706688\"]\n  22 -> 42 [size =\"46706688\"]\n  22 -> 44 [size =\"46706688\"]\n  23 [size=\"91457536\", alpha=\"0.20\", expect_size=\"45728768\"] \n  23 -> 33 [size =\"45728768\"]\n  23 -> 34 [size =\"45728768\"]\n  23 -> 34 [size =\"45728768\"]\n  23 -> 35 [size =\"45728768\"]\n  23 -> 37 [size =\"45728768\"]\n  23 -> 39 [size =\"45728768\"]\n  23 -> 39 [size =\"45728768\"]\n  23 -> 42 [size =\"45728768\"]\n  23 -> 44 [size =\"45728768\"]\n  24 [size=\"14387200\", alpha=\"0.20\", expect_size=\"7193600\"] \n  24 -> 34 [size =\"7193600\"]\n  24 -> 35 [size =\"7193600\"]\n  24 -> 36 [size =\"7193600\"]\n  24 -> 38 [size =\"7193600\"]\n  24 -> 39 [size =\"7193600\"]\n  24 -> 39 [size =\"7193600\"]\n  24 -> 44 [size =\"7193600\"]\n  25 [size=\"76292096\", alpha=\"0.18\", expect_size=\"38146048\"] \n  25 -> 34 [size =\"38146048\"]\n  25 -> 35 [size =\"38146048\"]\n  25 -> 38 [size =\"38146048\"]\n  25 -> 39 [size =\"38146048\"]\n  25 -> 44 [size =\"38146048\"]\n  26 [size=\"28555264\", alpha=\"0.07\", expect_size=\"14277632\"] \n  26 -> 31 [size =\"14277632\"]\n  26 -> 32 [size =\"14277632\"]\n  26 -> 33 [size =\"14277632\"]\n  26 -> 34 [size =\"14277632\"]\n  26 -> 35 [size =\"14277632\"]\n  26 -> 37 [size =\"14277632\"]\n  26 -> 38 [size =\"14277632\"]\n  26 -> 42 [size =\"14277632\"]\n  26 -> 44 [size =\"14277632\"]\n  27 [size=\"41414656\", alpha=\"0.17\", expect_size=\"20707328\"] \n  27 -> 34 [size =\"20707328\"]\n  27 -> 37 [size =\"20707328\"]\n  27 -> 38 [size =\"20707328\"]\n  28 [size=\"34349056\", alpha=\"0.10\", expect_size=\"17174528\"] \n  28 -> 31 [size =\"17174528\"]\n  28 -> 33 [size =\"17174528\"]\n  28 -> 34 [size =\"17174528\"]\n  28 -> 37 [size =\"17174528\"]\n  29 [size=\"43769856\", alpha=\"0.16\", expect_size=\"21884928\"] \n  29 -> 31 [size =\"21884928\"]\n  29 -> 34 [size =\"21884928\"]\n  29 -> 34 [size =\"21884928\"]\n  29 -> 35 [size =\"21884928\"]\n  29 -> 37 [size =\"21884928\"]\n  29 -> 38 [size =\"21884928\"]\n  29 -> 42 [size =\"21884928\"]\n  29 -> 44 [size =\"21884928\"]\n  30 [size=\"60293120\", alpha=\"0.19\", expect_size=\"30146560\"] \n  30 -> 31 [size =\"30146560\"]\n  30 -> 32 [size =\"30146560\"]\n  30 -> 34 [size =\"30146560\"]\n  30 -> 35 [size =\"30146560\"]\n  30 -> 37 [size =\"30146560\"]\n  30 -> 44 [size =\"30146560\"]\n  30 -> 45 [size =\"30146560\"]\n  31 [size=\"41924608\", alpha=\"0.19\", expect_size=\"20962304\"] \n  32 [size=\"72951808\", alpha=\"0.07\", expect_size=\"36475904\"] \n  33 [size=\"58138624\", alpha=\"0.03\", expect_size=\"29069312\"] \n  34 [size=\"57847808\", alpha=\"0.02\", expect_size=\"28923904\"] \n  35 [size=\"57796608\", alpha=\"0.11\", expect_size=\"28898304\"] \n  36 [size=\"47919104\", alpha=\"0.09\", expect_size=\"23959552\"] \n  37 [size=\"80361472\", alpha=\"0.02\", expect_size=\"40180736\"] \n  38 [size=\"66873344\", alpha=\"0.11\", expect_size=\"33436672\"] \n  39 [size=\"19634176\", alpha=\"0.10\", expect_size=\"9817088\"] \n  40 [size=\"94662656\", alpha=\"0.20\", expect_size=\"47331328\"] \n  41 [size=\"88076288\", alpha=\"0.11\", expect_size=\"44038144\"] \n  42 [size=\"83922944\", alpha=\"0.00\", expect_size=\"41961472\"] \n  43 [size=\"21716992\", alpha=\"0.06\", expect_size=\"10858496\"] \n  44 [size=\"35092480\", alpha=\"0.13\", expect_size=\"17546240\"] \n  45 [size=\"46745600\", alpha=\"0.14\", expect_size=\"23372800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89595904\", alpha=\"0.08\", expect_size=\"44797952\"] \n  1 -> 14 [size =\"44797952\"]\n  1 -> 15 [size =\"44797952\"]\n  1 -> 18 [size =\"44797952\"]\n  1 -> 22 [size =\"44797952\"]\n  1 -> 27 [size =\"44797952\"]\n  1 -> 28 [size =\"44797952\"]\n  2 [size=\"71743488\", alpha=\"0.17\", expect_size=\"35871744\"] \n  2 -> 15 [size =\"35871744\"]\n  2 -> 21 [size =\"35871744\"]\n  2 -> 22 [size =\"35871744\"]\n  2 -> 25 [size =\"35871744\"]\n  3 [size=\"37490688\", alpha=\"0.06\", expect_size=\"18745344\"] \n  3 -> 14 [size =\"18745344\"]\n  3 -> 15 [size =\"18745344\"]\n  3 -> 17 [size =\"18745344\"]\n  3 -> 20 [size =\"18745344\"]\n  3 -> 22 [size =\"18745344\"]\n  3 -> 25 [size =\"18745344\"]\n  3 -> 26 [size =\"18745344\"]\n  4 [size=\"46186496\", alpha=\"0.05\", expect_size=\"23093248\"] \n  4 -> 14 [size =\"23093248\"]\n  4 -> 17 [size =\"23093248\"]\n  4 -> 19 [size =\"23093248\"]\n  4 -> 20 [size =\"23093248\"]\n  4 -> 27 [size =\"23093248\"]\n  5 [size=\"47122432\", alpha=\"0.01\", expect_size=\"23561216\"] \n  5 -> 17 [size =\"23561216\"]\n  5 -> 26 [size =\"23561216\"]\n  5 -> 27 [size =\"23561216\"]\n  5 -> 28 [size =\"23561216\"]\n  6 [size=\"66680832\", alpha=\"0.18\", expect_size=\"33340416\"] \n  6 -> 27 [size =\"33340416\"]\n  7 [size=\"53352448\", alpha=\"0.13\", expect_size=\"26676224\"] \n  7 -> 18 [size =\"26676224\"]\n  7 -> 22 [size =\"26676224\"]\n  7 -> 24 [size =\"26676224\"]\n  8 [size=\"28008448\", alpha=\"0.09\", expect_size=\"14004224\"] \n  8 -> 16 [size =\"14004224\"]\n  8 -> 17 [size =\"14004224\"]\n  8 -> 18 [size =\"14004224\"]\n  8 -> 22 [size =\"14004224\"]\n  8 -> 24 [size =\"14004224\"]\n  8 -> 25 [size =\"14004224\"]\n  8 -> 26 [size =\"14004224\"]\n  9 [size=\"30208000\", alpha=\"0.07\", expect_size=\"15104000\"] \n  9 -> 17 [size =\"15104000\"]\n  9 -> 20 [size =\"15104000\"]\n  9 -> 22 [size =\"15104000\"]\n  9 -> 25 [size =\"15104000\"]\n  9 -> 27 [size =\"15104000\"]\n  10 [size=\"55310336\", alpha=\"0.07\", expect_size=\"27655168\"] \n  10 -> 17 [size =\"27655168\"]\n  10 -> 18 [size =\"27655168\"]\n  10 -> 24 [size =\"27655168\"]\n  11 [size=\"41687040\", alpha=\"0.16\", expect_size=\"20843520\"] \n  11 -> 20 [size =\"20843520\"]\n  11 -> 23 [size =\"20843520\"]\n  11 -> 27 [size =\"20843520\"]\n  11 -> 28 [size =\"20843520\"]\n  12 [size=\"81254400\", alpha=\"0.01\", expect_size=\"40627200\"] \n  12 -> 16 [size =\"40627200\"]\n  12 -> 17 [size =\"40627200\"]\n  12 -> 20 [size =\"40627200\"]\n  12 -> 22 [size =\"40627200\"]\n  12 -> 23 [size =\"40627200\"]\n  12 -> 25 [size =\"40627200\"]\n  13 [size=\"69353472\", alpha=\"0.04\", expect_size=\"34676736\"] \n  13 -> 14 [size =\"34676736\"]\n  13 -> 18 [size =\"34676736\"]\n  13 -> 20 [size =\"34676736\"]\n  13 -> 22 [size =\"34676736\"]\n  13 -> 24 [size =\"34676736\"]\n  13 -> 27 [size =\"34676736\"]\n  14 [size=\"95381504\", alpha=\"0.12\", expect_size=\"47690752\"] \n  14 -> 36 [size =\"47690752\"]\n  14 -> 39 [size =\"47690752\"]\n  14 -> 41 [size =\"47690752\"]\n  15 [size=\"25362432\", alpha=\"0.14\", expect_size=\"12681216\"] \n  15 -> 33 [size =\"12681216\"]\n  15 -> 34 [size =\"12681216\"]\n  15 -> 36 [size =\"12681216\"]\n  15 -> 40 [size =\"12681216\"]\n  15 -> 41 [size =\"12681216\"]\n  16 [size=\"28131328\", alpha=\"0.08\", expect_size=\"14065664\"] \n  16 -> 30 [size =\"14065664\"]\n  16 -> 31 [size =\"14065664\"]\n  16 -> 34 [size =\"14065664\"]\n  16 -> 36 [size =\"14065664\"]\n  16 -> 40 [size =\"14065664\"]\n  16 -> 41 [size =\"14065664\"]\n  16 -> 42 [size =\"14065664\"]\n  16 -> 43 [size =\"14065664\"]\n  17 [size=\"18532352\", alpha=\"0.05\", expect_size=\"9266176\"] \n  17 -> 31 [size =\"9266176\"]\n  17 -> 36 [size =\"9266176\"]\n  17 -> 37 [size =\"9266176\"]\n  17 -> 38 [size =\"9266176\"]\n  17 -> 39 [size =\"9266176\"]\n  17 -> 42 [size =\"9266176\"]\n  17 -> 43 [size =\"9266176\"]\n  17 -> 43 [size =\"9266176\"]\n  18 [size=\"78471168\", alpha=\"0.17\", expect_size=\"39235584\"] \n  18 -> 29 [size =\"39235584\"]\n  18 -> 31 [size =\"39235584\"]\n  18 -> 35 [size =\"39235584\"]\n  18 -> 36 [size =\"39235584\"]\n  18 -> 37 [size =\"39235584\"]\n  18 -> 39 [size =\"39235584\"]\n  18 -> 40 [size =\"39235584\"]\n  18 -> 43 [size =\"39235584\"]\n  19 [size=\"28254208\", alpha=\"0.06\", expect_size=\"14127104\"] \n  19 -> 34 [size =\"14127104\"]\n  19 -> 42 [size =\"14127104\"]\n  20 [size=\"62640128\", alpha=\"0.14\", expect_size=\"31320064\"] \n  20 -> 34 [size =\"31320064\"]\n  20 -> 35 [size =\"31320064\"]\n  20 -> 37 [size =\"31320064\"]\n  20 -> 39 [size =\"31320064\"]\n  20 -> 40 [size =\"31320064\"]\n  20 -> 42 [size =\"31320064\"]\n  21 [size=\"96935936\", alpha=\"0.17\", expect_size=\"48467968\"] \n  21 -> 29 [size =\"48467968\"]\n  21 -> 31 [size =\"48467968\"]\n  21 -> 39 [size =\"48467968\"]\n  21 -> 43 [size =\"48467968\"]\n  22 [size=\"77748224\", alpha=\"0.14\", expect_size=\"38874112\"] \n  22 -> 30 [size =\"38874112\"]\n  22 -> 31 [size =\"38874112\"]\n  22 -> 38 [size =\"38874112\"]\n  22 -> 41 [size =\"38874112\"]\n  23 [size=\"82317312\", alpha=\"0.17\", expect_size=\"41158656\"] \n  23 -> 30 [size =\"41158656\"]\n  23 -> 34 [size =\"41158656\"]\n  23 -> 35 [size =\"41158656\"]\n  23 -> 36 [size =\"41158656\"]\n  23 -> 39 [size =\"41158656\"]\n  23 -> 41 [size =\"41158656\"]\n  23 -> 43 [size =\"41158656\"]\n  24 [size=\"103301120\", alpha=\"0.07\", expect_size=\"51650560\"] \n  24 -> 35 [size =\"51650560\"]\n  24 -> 39 [size =\"51650560\"]\n  24 -> 41 [size =\"51650560\"]\n  24 -> 43 [size =\"51650560\"]\n  25 [size=\"65636352\", alpha=\"0.05\", expect_size=\"32818176\"] \n  25 -> 29 [size =\"32818176\"]\n  25 -> 34 [size =\"32818176\"]\n  25 -> 36 [size =\"32818176\"]\n  25 -> 39 [size =\"32818176\"]\n  25 -> 41 [size =\"32818176\"]\n  25 -> 43 [size =\"32818176\"]\n  26 [size=\"35866624\", alpha=\"0.14\", expect_size=\"17933312\"] \n  26 -> 31 [size =\"17933312\"]\n  26 -> 42 [size =\"17933312\"]\n  27 [size=\"73375744\", alpha=\"0.13\", expect_size=\"36687872\"] \n  27 -> 29 [size =\"36687872\"]\n  27 -> 34 [size =\"36687872\"]\n  27 -> 39 [size =\"36687872\"]\n  27 -> 40 [size =\"36687872\"]\n  27 -> 42 [size =\"36687872\"]\n  27 -> 43 [size =\"36687872\"]\n  28 [size=\"99139584\", alpha=\"0.16\", expect_size=\"49569792\"] \n  28 -> 29 [size =\"49569792\"]\n  28 -> 30 [size =\"49569792\"]\n  28 -> 32 [size =\"49569792\"]\n  28 -> 33 [size =\"49569792\"]\n  28 -> 40 [size =\"49569792\"]\n  28 -> 42 [size =\"49569792\"]\n  29 [size=\"85082112\", alpha=\"0.03\", expect_size=\"42541056\"] \n  29 -> 44 [size =\"42541056\"]\n  30 [size=\"21374976\", alpha=\"0.19\", expect_size=\"10687488\"] \n  31 [size=\"85309440\", alpha=\"0.02\", expect_size=\"42654720\"] \n  31 -> 45 [size =\"42654720\"]\n  32 [size=\"72884224\", alpha=\"0.19\", expect_size=\"36442112\"] \n  32 -> 44 [size =\"36442112\"]\n  32 -> 45 [size =\"36442112\"]\n  33 [size=\"45357056\", alpha=\"0.10\", expect_size=\"22678528\"] \n  33 -> 45 [size =\"22678528\"]\n  33 -> 45 [size =\"22678528\"]\n  34 [size=\"29732864\", alpha=\"0.18\", expect_size=\"14866432\"] \n  34 -> 44 [size =\"14866432\"]\n  34 -> 45 [size =\"14866432\"]\n  35 [size=\"61714432\", alpha=\"0.10\", expect_size=\"30857216\"] \n  35 -> 45 [size =\"30857216\"]\n  36 [size=\"83566592\", alpha=\"0.05\", expect_size=\"41783296\"] \n  36 -> 45 [size =\"41783296\"]\n  37 [size=\"57112576\", alpha=\"0.02\", expect_size=\"28556288\"] \n  38 [size=\"25221120\", alpha=\"0.13\", expect_size=\"12610560\"] \n  38 -> 45 [size =\"12610560\"]\n  39 [size=\"99788800\", alpha=\"0.08\", expect_size=\"49894400\"] \n  40 [size=\"17422336\", alpha=\"0.14\", expect_size=\"8711168\"] \n  41 [size=\"11692032\", alpha=\"0.19\", expect_size=\"5846016\"] \n  42 [size=\"19427328\", alpha=\"0.17\", expect_size=\"9713664\"] \n  43 [size=\"17029120\", alpha=\"0.11\", expect_size=\"8514560\"] \n  43 -> 44 [size =\"8514560\"]\n  43 -> 45 [size =\"8514560\"]\n  44 [size=\"63365120\", alpha=\"0.05\", expect_size=\"31682560\"] \n  45 [size=\"54589440\", alpha=\"0.10\", expect_size=\"27294720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113158827\", alpha=\"0.14\", expect_size=\"33947648\"] \n  1 -> 33 [size =\"33947648\"]\n  1 -> 34 [size =\"33947648\"]\n  1 -> 35 [size =\"33947648\"]\n  1 -> 37 [size =\"33947648\"]\n  1 -> 38 [size =\"33947648\"]\n  1 -> 39 [size =\"33947648\"]\n  1 -> 40 [size =\"33947648\"]\n  1 -> 42 [size =\"33947648\"]\n  1 -> 45 [size =\"33947648\"]\n  2 [size=\"77192533\", alpha=\"0.05\", expect_size=\"23157760\"] \n  2 -> 31 [size =\"23157760\"]\n  2 -> 33 [size =\"23157760\"]\n  2 -> 35 [size =\"23157760\"]\n  2 -> 36 [size =\"23157760\"]\n  2 -> 37 [size =\"23157760\"]\n  2 -> 38 [size =\"23157760\"]\n  2 -> 42 [size =\"23157760\"]\n  2 -> 42 [size =\"23157760\"]\n  2 -> 43 [size =\"23157760\"]\n  3 [size=\"75414187\", alpha=\"0.06\", expect_size=\"22624256\"] \n  3 -> 32 [size =\"22624256\"]\n  3 -> 33 [size =\"22624256\"]\n  3 -> 35 [size =\"22624256\"]\n  3 -> 36 [size =\"22624256\"]\n  3 -> 37 [size =\"22624256\"]\n  3 -> 38 [size =\"22624256\"]\n  3 -> 40 [size =\"22624256\"]\n  3 -> 42 [size =\"22624256\"]\n  3 -> 43 [size =\"22624256\"]\n  3 -> 45 [size =\"22624256\"]\n  4 [size=\"18165760\", alpha=\"0.20\", expect_size=\"5449728\"] \n  4 -> 32 [size =\"5449728\"]\n  4 -> 34 [size =\"5449728\"]\n  4 -> 35 [size =\"5449728\"]\n  4 -> 37 [size =\"5449728\"]\n  4 -> 38 [size =\"5449728\"]\n  4 -> 38 [size =\"5449728\"]\n  4 -> 39 [size =\"5449728\"]\n  4 -> 40 [size =\"5449728\"]\n  4 -> 41 [size =\"5449728\"]\n  4 -> 42 [size =\"5449728\"]\n  4 -> 43 [size =\"5449728\"]\n  4 -> 44 [size =\"5449728\"]\n  5 [size=\"75625813\", alpha=\"0.05\", expect_size=\"22687744\"] \n  5 -> 31 [size =\"22687744\"]\n  5 -> 32 [size =\"22687744\"]\n  5 -> 35 [size =\"22687744\"]\n  5 -> 36 [size =\"22687744\"]\n  5 -> 38 [size =\"22687744\"]\n  5 -> 42 [size =\"22687744\"]\n  5 -> 43 [size =\"22687744\"]\n  5 -> 45 [size =\"22687744\"]\n  6 [size=\"36604587\", alpha=\"0.09\", expect_size=\"10981376\"] \n  6 -> 31 [size =\"10981376\"]\n  6 -> 32 [size =\"10981376\"]\n  6 -> 35 [size =\"10981376\"]\n  6 -> 36 [size =\"10981376\"]\n  6 -> 37 [size =\"10981376\"]\n  6 -> 38 [size =\"10981376\"]\n  6 -> 40 [size =\"10981376\"]\n  6 -> 42 [size =\"10981376\"]\n  6 -> 43 [size =\"10981376\"]\n  6 -> 45 [size =\"10981376\"]\n  7 [size=\"75499520\", alpha=\"0.07\", expect_size=\"22649856\"] \n  7 -> 30 [size =\"22649856\"]\n  7 -> 31 [size =\"22649856\"]\n  7 -> 32 [size =\"22649856\"]\n  7 -> 35 [size =\"22649856\"]\n  7 -> 38 [size =\"22649856\"]\n  7 -> 38 [size =\"22649856\"]\n  7 -> 39 [size =\"22649856\"]\n  7 -> 40 [size =\"22649856\"]\n  7 -> 41 [size =\"22649856\"]\n  7 -> 42 [size =\"22649856\"]\n  8 [size=\"116746240\", alpha=\"0.03\", expect_size=\"35023872\"] \n  8 -> 31 [size =\"35023872\"]\n  8 -> 31 [size =\"35023872\"]\n  8 -> 33 [size =\"35023872\"]\n  8 -> 34 [size =\"35023872\"]\n  8 -> 35 [size =\"35023872\"]\n  8 -> 36 [size =\"35023872\"]\n  8 -> 37 [size =\"35023872\"]\n  8 -> 38 [size =\"35023872\"]\n  8 -> 39 [size =\"35023872\"]\n  8 -> 40 [size =\"35023872\"]\n  8 -> 41 [size =\"35023872\"]\n  8 -> 42 [size =\"35023872\"]\n  9 [size=\"98252800\", alpha=\"0.18\", expect_size=\"29475840\"] \n  9 -> 31 [size =\"29475840\"]\n  9 -> 33 [size =\"29475840\"]\n  9 -> 37 [size =\"29475840\"]\n  9 -> 38 [size =\"29475840\"]\n  9 -> 39 [size =\"29475840\"]\n  9 -> 40 [size =\"29475840\"]\n  9 -> 42 [size =\"29475840\"]\n  9 -> 45 [size =\"29475840\"]\n  10 [size=\"36444160\", alpha=\"0.08\", expect_size=\"10933248\"] \n  10 -> 31 [size =\"10933248\"]\n  10 -> 32 [size =\"10933248\"]\n  10 -> 33 [size =\"10933248\"]\n  10 -> 36 [size =\"10933248\"]\n  10 -> 40 [size =\"10933248\"]\n  10 -> 42 [size =\"10933248\"]\n  10 -> 42 [size =\"10933248\"]\n  10 -> 45 [size =\"10933248\"]\n  11 [size=\"69246293\", alpha=\"0.08\", expect_size=\"20773888\"] \n  11 -> 31 [size =\"20773888\"]\n  11 -> 34 [size =\"20773888\"]\n  11 -> 35 [size =\"20773888\"]\n  11 -> 36 [size =\"20773888\"]\n  11 -> 38 [size =\"20773888\"]\n  11 -> 40 [size =\"20773888\"]\n  11 -> 42 [size =\"20773888\"]\n  12 [size=\"23763627\", alpha=\"0.11\", expect_size=\"7129088\"] \n  12 -> 31 [size =\"7129088\"]\n  12 -> 32 [size =\"7129088\"]\n  12 -> 34 [size =\"7129088\"]\n  12 -> 36 [size =\"7129088\"]\n  12 -> 37 [size =\"7129088\"]\n  12 -> 38 [size =\"7129088\"]\n  12 -> 42 [size =\"7129088\"]\n  13 [size=\"62228480\", alpha=\"0.12\", expect_size=\"18668544\"] \n  13 -> 31 [size =\"18668544\"]\n  13 -> 32 [size =\"18668544\"]\n  13 -> 33 [size =\"18668544\"]\n  13 -> 34 [size =\"18668544\"]\n  13 -> 35 [size =\"18668544\"]\n  13 -> 41 [size =\"18668544\"]\n  13 -> 42 [size =\"18668544\"]\n  13 -> 43 [size =\"18668544\"]\n  14 [size=\"111233707\", alpha=\"0.14\", expect_size=\"33370112\"] \n  14 -> 31 [size =\"33370112\"]\n  14 -> 32 [size =\"33370112\"]\n  14 -> 35 [size =\"33370112\"]\n  14 -> 36 [size =\"33370112\"]\n  14 -> 43 [size =\"33370112\"]\n  15 [size=\"109612373\", alpha=\"0.07\", expect_size=\"32883712\"] \n  15 -> 32 [size =\"32883712\"]\n  15 -> 32 [size =\"32883712\"]\n  15 -> 34 [size =\"32883712\"]\n  15 -> 35 [size =\"32883712\"]\n  15 -> 36 [size =\"32883712\"]\n  15 -> 37 [size =\"32883712\"]\n  15 -> 43 [size =\"32883712\"]\n  15 -> 44 [size =\"32883712\"]\n  16 [size=\"150644053\", alpha=\"0.06\", expect_size=\"45193216\"] \n  16 -> 32 [size =\"45193216\"]\n  16 -> 33 [size =\"45193216\"]\n  16 -> 34 [size =\"45193216\"]\n  16 -> 35 [size =\"45193216\"]\n  16 -> 36 [size =\"45193216\"]\n  16 -> 37 [size =\"45193216\"]\n  16 -> 38 [size =\"45193216\"]\n  17 [size=\"61081600\", alpha=\"0.16\", expect_size=\"18324480\"] \n  17 -> 31 [size =\"18324480\"]\n  17 -> 32 [size =\"18324480\"]\n  17 -> 33 [size =\"18324480\"]\n  17 -> 34 [size =\"18324480\"]\n  17 -> 35 [size =\"18324480\"]\n  17 -> 37 [size =\"18324480\"]\n  17 -> 39 [size =\"18324480\"]\n  17 -> 40 [size =\"18324480\"]\n  17 -> 45 [size =\"18324480\"]\n  18 [size=\"119845547\", alpha=\"0.09\", expect_size=\"35953664\"] \n  18 -> 31 [size =\"35953664\"]\n  18 -> 32 [size =\"35953664\"]\n  18 -> 33 [size =\"35953664\"]\n  18 -> 34 [size =\"35953664\"]\n  18 -> 35 [size =\"35953664\"]\n  18 -> 36 [size =\"35953664\"]\n  18 -> 39 [size =\"35953664\"]\n  18 -> 40 [size =\"35953664\"]\n  18 -> 42 [size =\"35953664\"]\n  18 -> 43 [size =\"35953664\"]\n  19 [size=\"145152000\", alpha=\"0.16\", expect_size=\"43545600\"] \n  19 -> 32 [size =\"43545600\"]\n  19 -> 36 [size =\"43545600\"]\n  19 -> 37 [size =\"43545600\"]\n  19 -> 39 [size =\"43545600\"]\n  19 -> 40 [size =\"43545600\"]\n  20 [size=\"131624960\", alpha=\"0.09\", expect_size=\"39487488\"] \n  20 -> 32 [size =\"39487488\"]\n  20 -> 33 [size =\"39487488\"]\n  20 -> 36 [size =\"39487488\"]\n  20 -> 37 [size =\"39487488\"]\n  20 -> 38 [size =\"39487488\"]\n  20 -> 39 [size =\"39487488\"]\n  20 -> 40 [size =\"39487488\"]\n  20 -> 45 [size =\"39487488\"]\n  21 [size=\"37362347\", alpha=\"0.13\", expect_size=\"11208704\"] \n  21 -> 31 [size =\"11208704\"]\n  21 -> 33 [size =\"11208704\"]\n  21 -> 36 [size =\"11208704\"]\n  21 -> 37 [size =\"11208704\"]\n  21 -> 39 [size =\"11208704\"]\n  21 -> 39 [size =\"11208704\"]\n  21 -> 40 [size =\"11208704\"]\n  21 -> 45 [size =\"11208704\"]\n  22 [size=\"100478293\", alpha=\"0.05\", expect_size=\"30143488\"] \n  22 -> 31 [size =\"30143488\"]\n  22 -> 33 [size =\"30143488\"]\n  22 -> 34 [size =\"30143488\"]\n  22 -> 36 [size =\"30143488\"]\n  22 -> 39 [size =\"30143488\"]\n  22 -> 40 [size =\"30143488\"]\n  22 -> 40 [size =\"30143488\"]\n  23 [size=\"29419520\", alpha=\"0.05\", expect_size=\"8825856\"] \n  23 -> 31 [size =\"8825856\"]\n  23 -> 32 [size =\"8825856\"]\n  23 -> 33 [size =\"8825856\"]\n  23 -> 35 [size =\"8825856\"]\n  23 -> 39 [size =\"8825856\"]\n  23 -> 40 [size =\"8825856\"]\n  24 [size=\"123501227\", alpha=\"0.04\", expect_size=\"37050368\"] \n  24 -> 30 [size =\"37050368\"]\n  24 -> 31 [size =\"37050368\"]\n  24 -> 33 [size =\"37050368\"]\n  24 -> 38 [size =\"37050368\"]\n  24 -> 39 [size =\"37050368\"]\n  24 -> 40 [size =\"37050368\"]\n  24 -> 42 [size =\"37050368\"]\n  24 -> 45 [size =\"37050368\"]\n  25 [size=\"73881600\", alpha=\"0.11\", expect_size=\"22164480\"] \n  25 -> 31 [size =\"22164480\"]\n  25 -> 31 [size =\"22164480\"]\n  25 -> 32 [size =\"22164480\"]\n  25 -> 33 [size =\"22164480\"]\n  25 -> 34 [size =\"22164480\"]\n  25 -> 38 [size =\"22164480\"]\n  25 -> 39 [size =\"22164480\"]\n  25 -> 40 [size =\"22164480\"]\n  25 -> 42 [size =\"22164480\"]\n  26 [size=\"132287147\", alpha=\"0.01\", expect_size=\"39686144\"] \n  26 -> 31 [size =\"39686144\"]\n  26 -> 32 [size =\"39686144\"]\n  26 -> 33 [size =\"39686144\"]\n  26 -> 33 [size =\"39686144\"]\n  26 -> 34 [size =\"39686144\"]\n  26 -> 38 [size =\"39686144\"]\n  26 -> 39 [size =\"39686144\"]\n  26 -> 40 [size =\"39686144\"]\n  26 -> 42 [size =\"39686144\"]\n  27 [size=\"21940907\", alpha=\"0.18\", expect_size=\"6582272\"] \n  27 -> 31 [size =\"6582272\"]\n  27 -> 32 [size =\"6582272\"]\n  27 -> 33 [size =\"6582272\"]\n  27 -> 37 [size =\"6582272\"]\n  27 -> 38 [size =\"6582272\"]\n  27 -> 39 [size =\"6582272\"]\n  27 -> 39 [size =\"6582272\"]\n  27 -> 40 [size =\"6582272\"]\n  27 -> 42 [size =\"6582272\"]\n  27 -> 45 [size =\"6582272\"]\n  28 [size=\"150712320\", alpha=\"0.07\", expect_size=\"45213696\"] \n  28 -> 31 [size =\"45213696\"]\n  28 -> 32 [size =\"45213696\"]\n  28 -> 33 [size =\"45213696\"]\n  28 -> 37 [size =\"45213696\"]\n  28 -> 38 [size =\"45213696\"]\n  28 -> 39 [size =\"45213696\"]\n  28 -> 40 [size =\"45213696\"]\n  28 -> 42 [size =\"45213696\"]\n  28 -> 42 [size =\"45213696\"]\n  28 -> 45 [size =\"45213696\"]\n  29 [size=\"60910933\", alpha=\"0.07\", expect_size=\"18273280\"] \n  29 -> 33 [size =\"18273280\"]\n  29 -> 34 [size =\"18273280\"]\n  29 -> 37 [size =\"18273280\"]\n  29 -> 38 [size =\"18273280\"]\n  29 -> 38 [size =\"18273280\"]\n  29 -> 39 [size =\"18273280\"]\n  29 -> 40 [size =\"18273280\"]\n  29 -> 42 [size =\"18273280\"]\n  29 -> 43 [size =\"18273280\"]\n  30 [size=\"30542507\", alpha=\"0.09\", expect_size=\"9162752\"] \n  31 [size=\"97515520\", alpha=\"0.17\", expect_size=\"29254656\"] \n  32 [size=\"42943147\", alpha=\"0.07\", expect_size=\"12882944\"] \n  33 [size=\"83828053\", alpha=\"0.02\", expect_size=\"25148416\"] \n  34 [size=\"120825173\", alpha=\"0.09\", expect_size=\"36247552\"] \n  35 [size=\"154624000\", alpha=\"0.08\", expect_size=\"46387200\"] \n  36 [size=\"86087680\", alpha=\"0.04\", expect_size=\"25826304\"] \n  37 [size=\"91637760\", alpha=\"0.05\", expect_size=\"27491328\"] \n  38 [size=\"72004267\", alpha=\"0.19\", expect_size=\"21601280\"] \n  39 [size=\"126467413\", alpha=\"0.10\", expect_size=\"37940224\"] \n  40 [size=\"21220693\", alpha=\"0.15\", expect_size=\"6366208\"] \n  41 [size=\"89815040\", alpha=\"0.03\", expect_size=\"26944512\"] \n  42 [size=\"69451093\", alpha=\"0.01\", expect_size=\"20835328\"] \n  43 [size=\"123695787\", alpha=\"0.00\", expect_size=\"37108736\"] \n  44 [size=\"140021760\", alpha=\"0.14\", expect_size=\"42006528\"] \n  45 [size=\"54900053\", alpha=\"0.14\", expect_size=\"16470016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88788480\", alpha=\"0.15\", expect_size=\"35515392\"] \n  1 -> 3 [size =\"35515392\"]\n  1 -> 5 [size =\"35515392\"]\n  2 [size=\"13560320\", alpha=\"0.15\", expect_size=\"5424128\"] \n  2 -> 4 [size =\"5424128\"]\n  2 -> 5 [size =\"5424128\"]\n  3 [size=\"55833600\", alpha=\"0.02\", expect_size=\"22333440\"] \n  3 -> 7 [size =\"22333440\"]\n  4 [size=\"121664000\", alpha=\"0.12\", expect_size=\"48665600\"] \n  4 -> 6 [size =\"48665600\"]\n  4 -> 7 [size =\"48665600\"]\n  5 [size=\"40652800\", alpha=\"0.16\", expect_size=\"16261120\"] \n  5 -> 7 [size =\"16261120\"]\n  5 -> 8 [size =\"16261120\"]\n  6 [size=\"103454720\", alpha=\"0.08\", expect_size=\"41381888\"] \n  6 -> 9 [size =\"41381888\"]\n  6 -> 11 [size =\"41381888\"]\n  7 [size=\"112427520\", alpha=\"0.06\", expect_size=\"44971008\"] \n  7 -> 9 [size =\"44971008\"]\n  7 -> 11 [size =\"44971008\"]\n  8 [size=\"92513280\", alpha=\"0.10\", expect_size=\"37005312\"] \n  8 -> 10 [size =\"37005312\"]\n  8 -> 11 [size =\"37005312\"]\n  9 [size=\"131008000\", alpha=\"0.08\", expect_size=\"52403200\"] \n  9 -> 12 [size =\"52403200\"]\n  9 -> 13 [size =\"52403200\"]\n  10 [size=\"82414080\", alpha=\"0.19\", expect_size=\"32965632\"] \n  10 -> 12 [size =\"32965632\"]\n  11 [size=\"37317120\", alpha=\"0.15\", expect_size=\"14926848\"] \n  12 [size=\"125355520\", alpha=\"0.18\", expect_size=\"50142208\"] \n  12 -> 14 [size =\"50142208\"]\n  12 -> 15 [size =\"50142208\"]\n  12 -> 16 [size =\"50142208\"]\n  13 [size=\"98155520\", alpha=\"0.19\", expect_size=\"39262208\"] \n  13 -> 15 [size =\"39262208\"]\n  14 [size=\"110804480\", alpha=\"0.14\", expect_size=\"44321792\"] \n  14 -> 18 [size =\"44321792\"]\n  15 [size=\"61698560\", alpha=\"0.00\", expect_size=\"24679424\"] \n  15 -> 17 [size =\"24679424\"]\n  15 -> 18 [size =\"24679424\"]\n  16 [size=\"36144640\", alpha=\"0.01\", expect_size=\"14457856\"] \n  16 -> 18 [size =\"14457856\"]\n  16 -> 19 [size =\"14457856\"]\n  17 [size=\"85629440\", alpha=\"0.18\", expect_size=\"34251776\"] \n  17 -> 21 [size =\"34251776\"]\n  17 -> 22 [size =\"34251776\"]\n  18 [size=\"118973440\", alpha=\"0.15\", expect_size=\"47589376\"] \n  18 -> 20 [size =\"47589376\"]\n  19 [size=\"59389440\", alpha=\"0.17\", expect_size=\"23755776\"] \n  19 -> 20 [size =\"23755776\"]\n  20 [size=\"103669760\", alpha=\"0.07\", expect_size=\"41467904\"] \n  20 -> 25 [size =\"41467904\"]\n  21 [size=\"100262400\", alpha=\"0.10\", expect_size=\"40104960\"] \n  21 -> 23 [size =\"40104960\"]\n  21 -> 24 [size =\"40104960\"]\n  22 [size=\"73408000\", alpha=\"0.13\", expect_size=\"29363200\"] \n  22 -> 24 [size =\"29363200\"]\n  22 -> 24 [size =\"29363200\"]\n  22 -> 25 [size =\"29363200\"]\n  23 [size=\"60006400\", alpha=\"0.03\", expect_size=\"24002560\"] \n  23 -> 26 [size =\"24002560\"]\n  23 -> 27 [size =\"24002560\"]\n  24 [size=\"52753920\", alpha=\"0.11\", expect_size=\"21101568\"] \n  24 -> 26 [size =\"21101568\"]\n  24 -> 27 [size =\"21101568\"]\n  25 [size=\"15795200\", alpha=\"0.04\", expect_size=\"6318080\"] \n  25 -> 26 [size =\"6318080\"]\n  25 -> 27 [size =\"6318080\"]\n  26 [size=\"17346560\", alpha=\"0.13\", expect_size=\"6938624\"] \n  26 -> 28 [size =\"6938624\"]\n  26 -> 29 [size =\"6938624\"]\n  27 [size=\"23111680\", alpha=\"0.18\", expect_size=\"9244672\"] \n  27 -> 28 [size =\"9244672\"]\n  27 -> 29 [size =\"9244672\"]\n  28 [size=\"129379840\", alpha=\"0.17\", expect_size=\"51751936\"] \n  28 -> 31 [size =\"51751936\"]\n  29 [size=\"97100800\", alpha=\"0.15\", expect_size=\"38840320\"] \n  29 -> 30 [size =\"38840320\"]\n  29 -> 31 [size =\"38840320\"]\n  30 [size=\"82176000\", alpha=\"0.06\", expect_size=\"32870400\"] \n  30 -> 32 [size =\"32870400\"]\n  30 -> 33 [size =\"32870400\"]\n  30 -> 34 [size =\"32870400\"]\n  31 [size=\"125347840\", alpha=\"0.00\", expect_size=\"50139136\"] \n  31 -> 32 [size =\"50139136\"]\n  31 -> 34 [size =\"50139136\"]\n  32 [size=\"66373120\", alpha=\"0.14\", expect_size=\"26549248\"] \n  32 -> 36 [size =\"26549248\"]\n  32 -> 37 [size =\"26549248\"]\n  33 [size=\"23669760\", alpha=\"0.02\", expect_size=\"9467904\"] \n  33 -> 35 [size =\"9467904\"]\n  33 -> 36 [size =\"9467904\"]\n  33 -> 37 [size =\"9467904\"]\n  34 [size=\"39964160\", alpha=\"0.06\", expect_size=\"15985664\"] \n  34 -> 35 [size =\"15985664\"]\n  34 -> 36 [size =\"15985664\"]\n  34 -> 37 [size =\"15985664\"]\n  35 [size=\"105850880\", alpha=\"0.19\", expect_size=\"42340352\"] \n  35 -> 38 [size =\"42340352\"]\n  35 -> 39 [size =\"42340352\"]\n  36 [size=\"130908160\", alpha=\"0.16\", expect_size=\"52363264\"] \n  36 -> 38 [size =\"52363264\"]\n  37 [size=\"87523840\", alpha=\"0.05\", expect_size=\"35009536\"] \n  37 -> 38 [size =\"35009536\"]\n  37 -> 39 [size =\"35009536\"]\n  38 [size=\"75018240\", alpha=\"0.12\", expect_size=\"30007296\"] \n  38 -> 40 [size =\"30007296\"]\n  38 -> 42 [size =\"30007296\"]\n  39 [size=\"54830080\", alpha=\"0.07\", expect_size=\"21932032\"] \n  39 -> 40 [size =\"21932032\"]\n  39 -> 41 [size =\"21932032\"]\n  39 -> 42 [size =\"21932032\"]\n  40 [size=\"26897920\", alpha=\"0.17\", expect_size=\"10759168\"] \n  40 -> 44 [size =\"10759168\"]\n  40 -> 45 [size =\"10759168\"]\n  41 [size=\"60528640\", alpha=\"0.02\", expect_size=\"24211456\"] \n  41 -> 44 [size =\"24211456\"]\n  42 [size=\"61969920\", alpha=\"0.17\", expect_size=\"24787968\"] \n  42 -> 43 [size =\"24787968\"]\n  42 -> 45 [size =\"24787968\"]\n  43 [size=\"25502720\", alpha=\"0.20\", expect_size=\"10201088\"] \n  44 [size=\"36180480\", alpha=\"0.10\", expect_size=\"14472192\"] \n  45 [size=\"73733120\", alpha=\"0.00\", expect_size=\"29493248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84031488\", alpha=\"0.05\", expect_size=\"42015744\"] \n  1 -> 15 [size =\"42015744\"]\n  1 -> 17 [size =\"42015744\"]\n  1 -> 20 [size =\"42015744\"]\n  1 -> 22 [size =\"42015744\"]\n  1 -> 23 [size =\"42015744\"]\n  1 -> 25 [size =\"42015744\"]\n  2 [size=\"66058240\", alpha=\"0.12\", expect_size=\"33029120\"] \n  2 -> 14 [size =\"33029120\"]\n  2 -> 15 [size =\"33029120\"]\n  2 -> 20 [size =\"33029120\"]\n  2 -> 22 [size =\"33029120\"]\n  2 -> 28 [size =\"33029120\"]\n  2 -> 30 [size =\"33029120\"]\n  3 [size=\"46907392\", alpha=\"0.03\", expect_size=\"23453696\"] \n  3 -> 15 [size =\"23453696\"]\n  3 -> 16 [size =\"23453696\"]\n  3 -> 22 [size =\"23453696\"]\n  3 -> 25 [size =\"23453696\"]\n  4 [size=\"75433984\", alpha=\"0.17\", expect_size=\"37716992\"] \n  4 -> 16 [size =\"37716992\"]\n  4 -> 21 [size =\"37716992\"]\n  4 -> 22 [size =\"37716992\"]\n  4 -> 25 [size =\"37716992\"]\n  4 -> 27 [size =\"37716992\"]\n  5 [size=\"59658240\", alpha=\"0.13\", expect_size=\"29829120\"] \n  5 -> 15 [size =\"29829120\"]\n  5 -> 25 [size =\"29829120\"]\n  5 -> 28 [size =\"29829120\"]\n  6 [size=\"28860416\", alpha=\"0.13\", expect_size=\"14430208\"] \n  6 -> 14 [size =\"14430208\"]\n  6 -> 20 [size =\"14430208\"]\n  6 -> 21 [size =\"14430208\"]\n  6 -> 22 [size =\"14430208\"]\n  6 -> 28 [size =\"14430208\"]\n  6 -> 29 [size =\"14430208\"]\n  7 [size=\"32249856\", alpha=\"0.02\", expect_size=\"16124928\"] \n  7 -> 17 [size =\"16124928\"]\n  7 -> 19 [size =\"16124928\"]\n  7 -> 20 [size =\"16124928\"]\n  7 -> 26 [size =\"16124928\"]\n  7 -> 29 [size =\"16124928\"]\n  7 -> 29 [size =\"16124928\"]\n  8 [size=\"12425216\", alpha=\"0.07\", expect_size=\"6212608\"] \n  8 -> 14 [size =\"6212608\"]\n  8 -> 18 [size =\"6212608\"]\n  8 -> 19 [size =\"6212608\"]\n  8 -> 23 [size =\"6212608\"]\n  8 -> 27 [size =\"6212608\"]\n  8 -> 28 [size =\"6212608\"]\n  9 [size=\"71784448\", alpha=\"0.07\", expect_size=\"35892224\"] \n  9 -> 14 [size =\"35892224\"]\n  9 -> 16 [size =\"35892224\"]\n  9 -> 19 [size =\"35892224\"]\n  9 -> 22 [size =\"35892224\"]\n  9 -> 24 [size =\"35892224\"]\n  10 [size=\"64276480\", alpha=\"0.04\", expect_size=\"32138240\"] \n  10 -> 14 [size =\"32138240\"]\n  10 -> 17 [size =\"32138240\"]\n  10 -> 18 [size =\"32138240\"]\n  10 -> 19 [size =\"32138240\"]\n  10 -> 20 [size =\"32138240\"]\n  10 -> 21 [size =\"32138240\"]\n  10 -> 25 [size =\"32138240\"]\n  11 [size=\"46868480\", alpha=\"0.03\", expect_size=\"23434240\"] \n  11 -> 15 [size =\"23434240\"]\n  11 -> 18 [size =\"23434240\"]\n  11 -> 23 [size =\"23434240\"]\n  11 -> 24 [size =\"23434240\"]\n  11 -> 27 [size =\"23434240\"]\n  11 -> 28 [size =\"23434240\"]\n  11 -> 29 [size =\"23434240\"]\n  12 [size=\"71294976\", alpha=\"0.12\", expect_size=\"35647488\"] \n  12 -> 14 [size =\"35647488\"]\n  12 -> 22 [size =\"35647488\"]\n  12 -> 23 [size =\"35647488\"]\n  12 -> 27 [size =\"35647488\"]\n  12 -> 28 [size =\"35647488\"]\n  12 -> 29 [size =\"35647488\"]\n  13 [size=\"32163840\", alpha=\"0.19\", expect_size=\"16081920\"] \n  13 -> 19 [size =\"16081920\"]\n  14 [size=\"45946880\", alpha=\"0.12\", expect_size=\"22973440\"] \n  14 -> 40 [size =\"22973440\"]\n  14 -> 41 [size =\"22973440\"]\n  14 -> 43 [size =\"22973440\"]\n  15 [size=\"29814784\", alpha=\"0.02\", expect_size=\"14907392\"] \n  15 -> 33 [size =\"14907392\"]\n  15 -> 38 [size =\"14907392\"]\n  15 -> 42 [size =\"14907392\"]\n  16 [size=\"93073408\", alpha=\"0.14\", expect_size=\"46536704\"] \n  16 -> 37 [size =\"46536704\"]\n  16 -> 39 [size =\"46536704\"]\n  16 -> 42 [size =\"46536704\"]\n  17 [size=\"59899904\", alpha=\"0.17\", expect_size=\"29949952\"] \n  17 -> 31 [size =\"29949952\"]\n  17 -> 37 [size =\"29949952\"]\n  17 -> 38 [size =\"29949952\"]\n  17 -> 45 [size =\"29949952\"]\n  18 [size=\"69718016\", alpha=\"0.09\", expect_size=\"34859008\"] \n  18 -> 31 [size =\"34859008\"]\n  18 -> 32 [size =\"34859008\"]\n  18 -> 33 [size =\"34859008\"]\n  18 -> 34 [size =\"34859008\"]\n  18 -> 35 [size =\"34859008\"]\n  18 -> 37 [size =\"34859008\"]\n  18 -> 44 [size =\"34859008\"]\n  19 [size=\"101718016\", alpha=\"0.04\", expect_size=\"50859008\"] \n  19 -> 31 [size =\"50859008\"]\n  19 -> 33 [size =\"50859008\"]\n  19 -> 33 [size =\"50859008\"]\n  19 -> 34 [size =\"50859008\"]\n  19 -> 38 [size =\"50859008\"]\n  19 -> 39 [size =\"50859008\"]\n  19 -> 41 [size =\"50859008\"]\n  19 -> 42 [size =\"50859008\"]\n  20 [size=\"41334784\", alpha=\"0.08\", expect_size=\"20667392\"] \n  20 -> 31 [size =\"20667392\"]\n  20 -> 37 [size =\"20667392\"]\n  20 -> 38 [size =\"20667392\"]\n  20 -> 43 [size =\"20667392\"]\n  21 [size=\"61954048\", alpha=\"0.08\", expect_size=\"30977024\"] \n  21 -> 31 [size =\"30977024\"]\n  21 -> 32 [size =\"30977024\"]\n  21 -> 35 [size =\"30977024\"]\n  21 -> 37 [size =\"30977024\"]\n  21 -> 38 [size =\"30977024\"]\n  21 -> 39 [size =\"30977024\"]\n  21 -> 40 [size =\"30977024\"]\n  22 [size=\"77291520\", alpha=\"0.19\", expect_size=\"38645760\"] \n  22 -> 31 [size =\"38645760\"]\n  22 -> 42 [size =\"38645760\"]\n  23 [size=\"38029312\", alpha=\"0.18\", expect_size=\"19014656\"] \n  23 -> 33 [size =\"19014656\"]\n  23 -> 34 [size =\"19014656\"]\n  23 -> 42 [size =\"19014656\"]\n  24 [size=\"31401984\", alpha=\"0.11\", expect_size=\"15700992\"] \n  24 -> 32 [size =\"15700992\"]\n  24 -> 34 [size =\"15700992\"]\n  24 -> 38 [size =\"15700992\"]\n  25 [size=\"90146816\", alpha=\"0.14\", expect_size=\"45073408\"] \n  25 -> 31 [size =\"45073408\"]\n  25 -> 40 [size =\"45073408\"]\n  25 -> 41 [size =\"45073408\"]\n  26 [size=\"100077568\", alpha=\"0.01\", expect_size=\"50038784\"] \n  27 [size=\"69697536\", alpha=\"0.12\", expect_size=\"34848768\"] \n  27 -> 31 [size =\"34848768\"]\n  27 -> 32 [size =\"34848768\"]\n  27 -> 38 [size =\"34848768\"]\n  27 -> 39 [size =\"34848768\"]\n  27 -> 40 [size =\"34848768\"]\n  28 [size=\"56223744\", alpha=\"0.05\", expect_size=\"28111872\"] \n  28 -> 32 [size =\"28111872\"]\n  28 -> 34 [size =\"28111872\"]\n  28 -> 39 [size =\"28111872\"]\n  28 -> 40 [size =\"28111872\"]\n  28 -> 41 [size =\"28111872\"]\n  29 [size=\"96698368\", alpha=\"0.10\", expect_size=\"48349184\"] \n  29 -> 34 [size =\"48349184\"]\n  29 -> 35 [size =\"48349184\"]\n  29 -> 36 [size =\"48349184\"]\n  30 [size=\"21716992\", alpha=\"0.06\", expect_size=\"10858496\"] \n  30 -> 32 [size =\"10858496\"]\n  30 -> 34 [size =\"10858496\"]\n  30 -> 38 [size =\"10858496\"]\n  30 -> 42 [size =\"10858496\"]\n  30 -> 43 [size =\"10858496\"]\n  31 [size=\"59557888\", alpha=\"0.10\", expect_size=\"29778944\"] \n  32 [size=\"95025152\", alpha=\"0.07\", expect_size=\"47512576\"] \n  33 [size=\"89317376\", alpha=\"0.09\", expect_size=\"44658688\"] \n  34 [size=\"78860288\", alpha=\"0.18\", expect_size=\"39430144\"] \n  35 [size=\"34232320\", alpha=\"0.12\", expect_size=\"17116160\"] \n  36 [size=\"98975744\", alpha=\"0.02\", expect_size=\"49487872\"] \n  37 [size=\"102723584\", alpha=\"0.04\", expect_size=\"51361792\"] \n  38 [size=\"67244032\", alpha=\"0.17\", expect_size=\"33622016\"] \n  39 [size=\"88848384\", alpha=\"0.11\", expect_size=\"44424192\"] \n  40 [size=\"40089600\", alpha=\"0.10\", expect_size=\"20044800\"] \n  41 [size=\"69134336\", alpha=\"0.01\", expect_size=\"34567168\"] \n  42 [size=\"23617536\", alpha=\"0.06\", expect_size=\"11808768\"] \n  43 [size=\"58724352\", alpha=\"0.16\", expect_size=\"29362176\"] \n  44 [size=\"101761024\", alpha=\"0.11\", expect_size=\"50880512\"] \n  45 [size=\"93820928\", alpha=\"0.03\", expect_size=\"46910464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19655680\", alpha=\"0.01\", expect_size=\"7862272\"] \n  2 [size=\"91476480\", alpha=\"0.14\", expect_size=\"36590592\"] \n  2 -> 9 [size =\"36590592\"]\n  2 -> 11 [size =\"36590592\"]\n  2 -> 12 [size =\"36590592\"]\n  3 [size=\"86021120\", alpha=\"0.00\", expect_size=\"34408448\"] \n  3 -> 8 [size =\"34408448\"]\n  3 -> 10 [size =\"34408448\"]\n  4 [size=\"52792320\", alpha=\"0.03\", expect_size=\"21116928\"] \n  4 -> 7 [size =\"21116928\"]\n  4 -> 8 [size =\"21116928\"]\n  4 -> 9 [size =\"21116928\"]\n  4 -> 10 [size =\"21116928\"]\n  4 -> 12 [size =\"21116928\"]\n  5 [size=\"75517440\", alpha=\"0.08\", expect_size=\"30206976\"] \n  5 -> 9 [size =\"30206976\"]\n  5 -> 12 [size =\"30206976\"]\n  6 [size=\"40936960\", alpha=\"0.13\", expect_size=\"16374784\"] \n  6 -> 12 [size =\"16374784\"]\n  7 [size=\"122982400\", alpha=\"0.04\", expect_size=\"49192960\"] \n  7 -> 15 [size =\"49192960\"]\n  8 [size=\"14356480\", alpha=\"0.01\", expect_size=\"5742592\"] \n  8 -> 13 [size =\"5742592\"]\n  8 -> 15 [size =\"5742592\"]\n  8 -> 17 [size =\"5742592\"]\n  9 [size=\"13754880\", alpha=\"0.13\", expect_size=\"5501952\"] \n  9 -> 13 [size =\"5501952\"]\n  9 -> 14 [size =\"5501952\"]\n  9 -> 16 [size =\"5501952\"]\n  10 [size=\"53982720\", alpha=\"0.07\", expect_size=\"21593088\"] \n  10 -> 16 [size =\"21593088\"]\n  11 [size=\"113103360\", alpha=\"0.14\", expect_size=\"45241344\"] \n  11 -> 15 [size =\"45241344\"]\n  11 -> 16 [size =\"45241344\"]\n  12 [size=\"120514560\", alpha=\"0.10\", expect_size=\"48205824\"] \n  12 -> 13 [size =\"48205824\"]\n  12 -> 15 [size =\"48205824\"]\n  12 -> 16 [size =\"48205824\"]\n  13 [size=\"83952640\", alpha=\"0.03\", expect_size=\"33581056\"] \n  13 -> 21 [size =\"33581056\"]\n  13 -> 22 [size =\"33581056\"]\n  13 -> 23 [size =\"33581056\"]\n  14 [size=\"85125120\", alpha=\"0.12\", expect_size=\"34050048\"] \n  14 -> 20 [size =\"34050048\"]\n  14 -> 21 [size =\"34050048\"]\n  14 -> 23 [size =\"34050048\"]\n  15 [size=\"101071360\", alpha=\"0.08\", expect_size=\"40428544\"] \n  15 -> 18 [size =\"40428544\"]\n  15 -> 19 [size =\"40428544\"]\n  15 -> 23 [size =\"40428544\"]\n  16 [size=\"32266240\", alpha=\"0.03\", expect_size=\"12906496\"] \n  16 -> 18 [size =\"12906496\"]\n  16 -> 19 [size =\"12906496\"]\n  16 -> 20 [size =\"12906496\"]\n  16 -> 23 [size =\"12906496\"]\n  17 [size=\"110266880\", alpha=\"0.13\", expect_size=\"44106752\"] \n  17 -> 19 [size =\"44106752\"]\n  17 -> 19 [size =\"44106752\"]\n  18 [size=\"14653440\", alpha=\"0.12\", expect_size=\"5861376\"] \n  18 -> 24 [size =\"5861376\"]\n  18 -> 25 [size =\"5861376\"]\n  19 [size=\"22236160\", alpha=\"0.20\", expect_size=\"8894464\"] \n  19 -> 24 [size =\"8894464\"]\n  20 [size=\"98332160\", alpha=\"0.03\", expect_size=\"39332864\"] \n  20 -> 25 [size =\"39332864\"]\n  21 [size=\"23956480\", alpha=\"0.07\", expect_size=\"9582592\"] \n  21 -> 24 [size =\"9582592\"]\n  21 -> 25 [size =\"9582592\"]\n  21 -> 26 [size =\"9582592\"]\n  21 -> 27 [size =\"9582592\"]\n  21 -> 28 [size =\"9582592\"]\n  22 [size=\"109281280\", alpha=\"0.05\", expect_size=\"43712512\"] \n  22 -> 24 [size =\"43712512\"]\n  22 -> 25 [size =\"43712512\"]\n  22 -> 27 [size =\"43712512\"]\n  22 -> 28 [size =\"43712512\"]\n  23 [size=\"51066880\", alpha=\"0.15\", expect_size=\"20426752\"] \n  23 -> 24 [size =\"20426752\"]\n  23 -> 25 [size =\"20426752\"]\n  23 -> 27 [size =\"20426752\"]\n  24 [size=\"70318080\", alpha=\"0.12\", expect_size=\"28127232\"] \n  24 -> 29 [size =\"28127232\"]\n  24 -> 30 [size =\"28127232\"]\n  24 -> 32 [size =\"28127232\"]\n  24 -> 33 [size =\"28127232\"]\n  24 -> 34 [size =\"28127232\"]\n  25 [size=\"24788480\", alpha=\"0.19\", expect_size=\"9915392\"] \n  25 -> 30 [size =\"9915392\"]\n  25 -> 32 [size =\"9915392\"]\n  25 -> 34 [size =\"9915392\"]\n  26 [size=\"74380800\", alpha=\"0.11\", expect_size=\"29752320\"] \n  26 -> 30 [size =\"29752320\"]\n  26 -> 32 [size =\"29752320\"]\n  27 [size=\"91550720\", alpha=\"0.02\", expect_size=\"36620288\"] \n  27 -> 31 [size =\"36620288\"]\n  28 [size=\"51074560\", alpha=\"0.13\", expect_size=\"20429824\"] \n  28 -> 32 [size =\"20429824\"]\n  28 -> 33 [size =\"20429824\"]\n  28 -> 34 [size =\"20429824\"]\n  29 [size=\"119767040\", alpha=\"0.04\", expect_size=\"47906816\"] \n  29 -> 35 [size =\"47906816\"]\n  29 -> 36 [size =\"47906816\"]\n  29 -> 39 [size =\"47906816\"]\n  29 -> 40 [size =\"47906816\"]\n  30 [size=\"118750720\", alpha=\"0.02\", expect_size=\"47500288\"] \n  30 -> 35 [size =\"47500288\"]\n  30 -> 36 [size =\"47500288\"]\n  30 -> 38 [size =\"47500288\"]\n  30 -> 39 [size =\"47500288\"]\n  30 -> 40 [size =\"47500288\"]\n  31 [size=\"19087360\", alpha=\"0.17\", expect_size=\"7634944\"] \n  31 -> 35 [size =\"7634944\"]\n  31 -> 38 [size =\"7634944\"]\n  32 [size=\"63257600\", alpha=\"0.10\", expect_size=\"25303040\"] \n  32 -> 35 [size =\"25303040\"]\n  32 -> 37 [size =\"25303040\"]\n  32 -> 38 [size =\"25303040\"]\n  33 [size=\"93698560\", alpha=\"0.15\", expect_size=\"37479424\"] \n  33 -> 36 [size =\"37479424\"]\n  33 -> 38 [size =\"37479424\"]\n  34 [size=\"65364480\", alpha=\"0.12\", expect_size=\"26145792\"] \n  34 -> 40 [size =\"26145792\"]\n  35 [size=\"17935360\", alpha=\"0.05\", expect_size=\"7174144\"] \n  35 -> 43 [size =\"7174144\"]\n  35 -> 45 [size =\"7174144\"]\n  36 [size=\"13829120\", alpha=\"0.00\", expect_size=\"5531648\"] \n  36 -> 41 [size =\"5531648\"]\n  36 -> 43 [size =\"5531648\"]\n  37 [size=\"80870400\", alpha=\"0.12\", expect_size=\"32348160\"] \n  38 [size=\"93009920\", alpha=\"0.04\", expect_size=\"37203968\"] \n  38 -> 41 [size =\"37203968\"]\n  38 -> 43 [size =\"37203968\"]\n  39 [size=\"51499520\", alpha=\"0.18\", expect_size=\"20599808\"] \n  39 -> 42 [size =\"20599808\"]\n  39 -> 44 [size =\"20599808\"]\n  40 [size=\"74946560\", alpha=\"0.06\", expect_size=\"29978624\"] \n  40 -> 41 [size =\"29978624\"]\n  40 -> 42 [size =\"29978624\"]\n  41 [size=\"86269440\", alpha=\"0.16\", expect_size=\"34507776\"] \n  42 [size=\"67494400\", alpha=\"0.03\", expect_size=\"26997760\"] \n  43 [size=\"126036480\", alpha=\"0.16\", expect_size=\"50414592\"] \n  44 [size=\"96808960\", alpha=\"0.18\", expect_size=\"38723584\"] \n  45 [size=\"51832320\", alpha=\"0.03\", expect_size=\"20732928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86921216\", alpha=\"0.06\", expect_size=\"43460608\"] \n  1 -> 15 [size =\"43460608\"]\n  1 -> 24 [size =\"43460608\"]\n  1 -> 24 [size =\"43460608\"]\n  1 -> 25 [size =\"43460608\"]\n  2 [size=\"58490880\", alpha=\"0.11\", expect_size=\"29245440\"] \n  2 -> 14 [size =\"29245440\"]\n  2 -> 15 [size =\"29245440\"]\n  2 -> 20 [size =\"29245440\"]\n  2 -> 21 [size =\"29245440\"]\n  2 -> 23 [size =\"29245440\"]\n  2 -> 24 [size =\"29245440\"]\n  2 -> 25 [size =\"29245440\"]\n  3 [size=\"91758592\", alpha=\"0.10\", expect_size=\"45879296\"] \n  3 -> 14 [size =\"45879296\"]\n  3 -> 15 [size =\"45879296\"]\n  3 -> 17 [size =\"45879296\"]\n  3 -> 20 [size =\"45879296\"]\n  3 -> 24 [size =\"45879296\"]\n  3 -> 25 [size =\"45879296\"]\n  3 -> 25 [size =\"45879296\"]\n  3 -> 26 [size =\"45879296\"]\n  4 [size=\"85204992\", alpha=\"0.19\", expect_size=\"42602496\"] \n  4 -> 13 [size =\"42602496\"]\n  4 -> 14 [size =\"42602496\"]\n  4 -> 15 [size =\"42602496\"]\n  4 -> 19 [size =\"42602496\"]\n  4 -> 20 [size =\"42602496\"]\n  5 [size=\"89786368\", alpha=\"0.11\", expect_size=\"44893184\"] \n  5 -> 15 [size =\"44893184\"]\n  5 -> 16 [size =\"44893184\"]\n  5 -> 20 [size =\"44893184\"]\n  5 -> 23 [size =\"44893184\"]\n  5 -> 25 [size =\"44893184\"]\n  6 [size=\"94418944\", alpha=\"0.07\", expect_size=\"47209472\"] \n  6 -> 13 [size =\"47209472\"]\n  6 -> 15 [size =\"47209472\"]\n  6 -> 18 [size =\"47209472\"]\n  6 -> 20 [size =\"47209472\"]\n  6 -> 23 [size =\"47209472\"]\n  7 [size=\"64829440\", alpha=\"0.19\", expect_size=\"32414720\"] \n  7 -> 14 [size =\"32414720\"]\n  7 -> 15 [size =\"32414720\"]\n  7 -> 16 [size =\"32414720\"]\n  7 -> 19 [size =\"32414720\"]\n  7 -> 20 [size =\"32414720\"]\n  7 -> 23 [size =\"32414720\"]\n  7 -> 25 [size =\"32414720\"]\n  8 [size=\"59469824\", alpha=\"0.11\", expect_size=\"29734912\"] \n  8 -> 16 [size =\"29734912\"]\n  8 -> 20 [size =\"29734912\"]\n  8 -> 22 [size =\"29734912\"]\n  8 -> 23 [size =\"29734912\"]\n  8 -> 24 [size =\"29734912\"]\n  8 -> 25 [size =\"29734912\"]\n  8 -> 26 [size =\"29734912\"]\n  9 [size=\"99928064\", alpha=\"0.16\", expect_size=\"49964032\"] \n  9 -> 13 [size =\"49964032\"]\n  9 -> 14 [size =\"49964032\"]\n  9 -> 20 [size =\"49964032\"]\n  9 -> 23 [size =\"49964032\"]\n  9 -> 25 [size =\"49964032\"]\n  10 [size=\"18036736\", alpha=\"0.04\", expect_size=\"9018368\"] \n  10 -> 13 [size =\"9018368\"]\n  10 -> 16 [size =\"9018368\"]\n  10 -> 19 [size =\"9018368\"]\n  10 -> 20 [size =\"9018368\"]\n  10 -> 23 [size =\"9018368\"]\n  10 -> 24 [size =\"9018368\"]\n  10 -> 25 [size =\"9018368\"]\n  11 [size=\"104433664\", alpha=\"0.18\", expect_size=\"52216832\"] \n  11 -> 13 [size =\"52216832\"]\n  11 -> 20 [size =\"52216832\"]\n  11 -> 24 [size =\"52216832\"]\n  11 -> 25 [size =\"52216832\"]\n  12 [size=\"38944768\", alpha=\"0.02\", expect_size=\"19472384\"] \n  12 -> 13 [size =\"19472384\"]\n  12 -> 16 [size =\"19472384\"]\n  12 -> 24 [size =\"19472384\"]\n  12 -> 25 [size =\"19472384\"]\n  13 [size=\"90804224\", alpha=\"0.01\", expect_size=\"45402112\"] \n  13 -> 27 [size =\"45402112\"]\n  13 -> 29 [size =\"45402112\"]\n  13 -> 32 [size =\"45402112\"]\n  13 -> 33 [size =\"45402112\"]\n  13 -> 35 [size =\"45402112\"]\n  13 -> 37 [size =\"45402112\"]\n  13 -> 38 [size =\"45402112\"]\n  14 [size=\"42110976\", alpha=\"0.07\", expect_size=\"21055488\"] \n  14 -> 27 [size =\"21055488\"]\n  14 -> 28 [size =\"21055488\"]\n  14 -> 29 [size =\"21055488\"]\n  14 -> 31 [size =\"21055488\"]\n  14 -> 32 [size =\"21055488\"]\n  14 -> 33 [size =\"21055488\"]\n  14 -> 35 [size =\"21055488\"]\n  14 -> 37 [size =\"21055488\"]\n  15 [size=\"35719168\", alpha=\"0.01\", expect_size=\"17859584\"] \n  15 -> 27 [size =\"17859584\"]\n  15 -> 28 [size =\"17859584\"]\n  15 -> 29 [size =\"17859584\"]\n  15 -> 31 [size =\"17859584\"]\n  15 -> 32 [size =\"17859584\"]\n  15 -> 33 [size =\"17859584\"]\n  15 -> 34 [size =\"17859584\"]\n  15 -> 35 [size =\"17859584\"]\n  15 -> 37 [size =\"17859584\"]\n  15 -> 39 [size =\"17859584\"]\n  16 [size=\"89683968\", alpha=\"0.07\", expect_size=\"44841984\"] \n  16 -> 27 [size =\"44841984\"]\n  16 -> 29 [size =\"44841984\"]\n  16 -> 31 [size =\"44841984\"]\n  16 -> 32 [size =\"44841984\"]\n  16 -> 33 [size =\"44841984\"]\n  16 -> 33 [size =\"44841984\"]\n  16 -> 34 [size =\"44841984\"]\n  16 -> 36 [size =\"44841984\"]\n  16 -> 37 [size =\"44841984\"]\n  17 [size=\"26294272\", alpha=\"0.04\", expect_size=\"13147136\"] \n  17 -> 27 [size =\"13147136\"]\n  17 -> 30 [size =\"13147136\"]\n  17 -> 31 [size =\"13147136\"]\n  17 -> 32 [size =\"13147136\"]\n  17 -> 33 [size =\"13147136\"]\n  17 -> 36 [size =\"13147136\"]\n  17 -> 37 [size =\"13147136\"]\n  17 -> 38 [size =\"13147136\"]\n  18 [size=\"23203840\", alpha=\"0.19\", expect_size=\"11601920\"] \n  18 -> 27 [size =\"11601920\"]\n  18 -> 32 [size =\"11601920\"]\n  18 -> 36 [size =\"11601920\"]\n  18 -> 38 [size =\"11601920\"]\n  18 -> 39 [size =\"11601920\"]\n  19 [size=\"72855552\", alpha=\"0.18\", expect_size=\"36427776\"] \n  19 -> 28 [size =\"36427776\"]\n  19 -> 31 [size =\"36427776\"]\n  19 -> 36 [size =\"36427776\"]\n  19 -> 37 [size =\"36427776\"]\n  19 -> 38 [size =\"36427776\"]\n  19 -> 39 [size =\"36427776\"]\n  20 [size=\"52606976\", alpha=\"0.12\", expect_size=\"26303488\"] \n  20 -> 29 [size =\"26303488\"]\n  20 -> 33 [size =\"26303488\"]\n  20 -> 37 [size =\"26303488\"]\n  20 -> 38 [size =\"26303488\"]\n  20 -> 39 [size =\"26303488\"]\n  21 [size=\"71833600\", alpha=\"0.01\", expect_size=\"35916800\"] \n  21 -> 28 [size =\"35916800\"]\n  21 -> 31 [size =\"35916800\"]\n  21 -> 32 [size =\"35916800\"]\n  21 -> 33 [size =\"35916800\"]\n  21 -> 34 [size =\"35916800\"]\n  21 -> 36 [size =\"35916800\"]\n  21 -> 37 [size =\"35916800\"]\n  21 -> 39 [size =\"35916800\"]\n  22 [size=\"62527488\", alpha=\"0.01\", expect_size=\"31263744\"] \n  22 -> 28 [size =\"31263744\"]\n  22 -> 29 [size =\"31263744\"]\n  22 -> 31 [size =\"31263744\"]\n  22 -> 32 [size =\"31263744\"]\n  22 -> 35 [size =\"31263744\"]\n  22 -> 37 [size =\"31263744\"]\n  22 -> 39 [size =\"31263744\"]\n  23 [size=\"71450624\", alpha=\"0.18\", expect_size=\"35725312\"] \n  23 -> 27 [size =\"35725312\"]\n  23 -> 30 [size =\"35725312\"]\n  23 -> 32 [size =\"35725312\"]\n  23 -> 37 [size =\"35725312\"]\n  23 -> 38 [size =\"35725312\"]\n  24 [size=\"77193216\", alpha=\"0.10\", expect_size=\"38596608\"] \n  24 -> 27 [size =\"38596608\"]\n  24 -> 29 [size =\"38596608\"]\n  24 -> 30 [size =\"38596608\"]\n  24 -> 31 [size =\"38596608\"]\n  24 -> 32 [size =\"38596608\"]\n  24 -> 33 [size =\"38596608\"]\n  24 -> 35 [size =\"38596608\"]\n  24 -> 36 [size =\"38596608\"]\n  24 -> 37 [size =\"38596608\"]\n  24 -> 38 [size =\"38596608\"]\n  25 [size=\"17651712\", alpha=\"0.20\", expect_size=\"8825856\"] \n  25 -> 29 [size =\"8825856\"]\n  25 -> 29 [size =\"8825856\"]\n  25 -> 32 [size =\"8825856\"]\n  25 -> 35 [size =\"8825856\"]\n  25 -> 38 [size =\"8825856\"]\n  25 -> 39 [size =\"8825856\"]\n  26 [size=\"23631872\", alpha=\"0.07\", expect_size=\"11815936\"] \n  26 -> 27 [size =\"11815936\"]\n  26 -> 29 [size =\"11815936\"]\n  26 -> 31 [size =\"11815936\"]\n  26 -> 32 [size =\"11815936\"]\n  26 -> 35 [size =\"11815936\"]\n  26 -> 36 [size =\"11815936\"]\n  26 -> 37 [size =\"11815936\"]\n  26 -> 38 [size =\"11815936\"]\n  27 [size=\"56784896\", alpha=\"0.06\", expect_size=\"28392448\"] \n  27 -> 45 [size =\"28392448\"]\n  28 [size=\"74856448\", alpha=\"0.15\", expect_size=\"37428224\"] \n  28 -> 41 [size =\"37428224\"]\n  29 [size=\"69472256\", alpha=\"0.03\", expect_size=\"34736128\"] \n  29 -> 44 [size =\"34736128\"]\n  30 [size=\"62142464\", alpha=\"0.13\", expect_size=\"31071232\"] \n  30 -> 41 [size =\"31071232\"]\n  30 -> 45 [size =\"31071232\"]\n  31 [size=\"22927360\", alpha=\"0.02\", expect_size=\"11463680\"] \n  31 -> 45 [size =\"11463680\"]\n  32 [size=\"28262400\", alpha=\"0.18\", expect_size=\"14131200\"] \n  32 -> 41 [size =\"14131200\"]\n  33 [size=\"31780864\", alpha=\"0.11\", expect_size=\"15890432\"] \n  33 -> 42 [size =\"15890432\"]\n  33 -> 44 [size =\"15890432\"]\n  33 -> 45 [size =\"15890432\"]\n  34 [size=\"20385792\", alpha=\"0.10\", expect_size=\"10192896\"] \n  34 -> 45 [size =\"10192896\"]\n  35 [size=\"68798464\", alpha=\"0.15\", expect_size=\"34399232\"] \n  36 [size=\"67573760\", alpha=\"0.16\", expect_size=\"33786880\"] \n  36 -> 40 [size =\"33786880\"]\n  36 -> 43 [size =\"33786880\"]\n  37 [size=\"100648960\", alpha=\"0.01\", expect_size=\"50324480\"] \n  37 -> 41 [size =\"50324480\"]\n  37 -> 45 [size =\"50324480\"]\n  38 [size=\"33619968\", alpha=\"0.09\", expect_size=\"16809984\"] \n  38 -> 41 [size =\"16809984\"]\n  38 -> 42 [size =\"16809984\"]\n  38 -> 43 [size =\"16809984\"]\n  38 -> 45 [size =\"16809984\"]\n  39 [size=\"104218624\", alpha=\"0.10\", expect_size=\"52109312\"] \n  39 -> 41 [size =\"52109312\"]\n  39 -> 43 [size =\"52109312\"]\n  39 -> 43 [size =\"52109312\"]\n  39 -> 45 [size =\"52109312\"]\n  40 [size=\"24395776\", alpha=\"0.19\", expect_size=\"12197888\"] \n  41 [size=\"84824064\", alpha=\"0.02\", expect_size=\"42412032\"] \n  42 [size=\"96335872\", alpha=\"0.16\", expect_size=\"48167936\"] \n  43 [size=\"87392256\", alpha=\"0.02\", expect_size=\"43696128\"] \n  44 [size=\"43939840\", alpha=\"0.03\", expect_size=\"21969920\"] \n  45 [size=\"91975680\", alpha=\"0.06\", expect_size=\"45987840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100819627\", alpha=\"0.04\", expect_size=\"30245888\"] \n  1 -> 33 [size =\"30245888\"]\n  1 -> 35 [size =\"30245888\"]\n  1 -> 36 [size =\"30245888\"]\n  1 -> 38 [size =\"30245888\"]\n  1 -> 39 [size =\"30245888\"]\n  1 -> 40 [size =\"30245888\"]\n  1 -> 41 [size =\"30245888\"]\n  1 -> 43 [size =\"30245888\"]\n  2 [size=\"119220907\", alpha=\"0.02\", expect_size=\"35766272\"] \n  2 -> 38 [size =\"35766272\"]\n  2 -> 39 [size =\"35766272\"]\n  2 -> 41 [size =\"35766272\"]\n  2 -> 43 [size =\"35766272\"]\n  3 [size=\"66744320\", alpha=\"0.18\", expect_size=\"20023296\"] \n  3 -> 30 [size =\"20023296\"]\n  3 -> 33 [size =\"20023296\"]\n  3 -> 35 [size =\"20023296\"]\n  3 -> 37 [size =\"20023296\"]\n  3 -> 38 [size =\"20023296\"]\n  3 -> 43 [size =\"20023296\"]\n  4 [size=\"143458987\", alpha=\"0.18\", expect_size=\"43037696\"] \n  4 -> 30 [size =\"43037696\"]\n  4 -> 34 [size =\"43037696\"]\n  4 -> 35 [size =\"43037696\"]\n  4 -> 39 [size =\"43037696\"]\n  4 -> 40 [size =\"43037696\"]\n  4 -> 41 [size =\"43037696\"]\n  4 -> 43 [size =\"43037696\"]\n  5 [size=\"144011947\", alpha=\"0.14\", expect_size=\"43203584\"] \n  5 -> 35 [size =\"43203584\"]\n  5 -> 38 [size =\"43203584\"]\n  5 -> 39 [size =\"43203584\"]\n  6 [size=\"133614933\", alpha=\"0.15\", expect_size=\"40084480\"] \n  6 -> 34 [size =\"40084480\"]\n  6 -> 35 [size =\"40084480\"]\n  6 -> 36 [size =\"40084480\"]\n  6 -> 37 [size =\"40084480\"]\n  6 -> 41 [size =\"40084480\"]\n  6 -> 43 [size =\"40084480\"]\n  7 [size=\"167096320\", alpha=\"0.10\", expect_size=\"50128896\"] \n  7 -> 34 [size =\"50128896\"]\n  7 -> 36 [size =\"50128896\"]\n  7 -> 37 [size =\"50128896\"]\n  7 -> 38 [size =\"50128896\"]\n  7 -> 40 [size =\"50128896\"]\n  7 -> 41 [size =\"50128896\"]\n  8 [size=\"33918293\", alpha=\"0.10\", expect_size=\"10175488\"] \n  8 -> 31 [size =\"10175488\"]\n  8 -> 32 [size =\"10175488\"]\n  8 -> 33 [size =\"10175488\"]\n  8 -> 35 [size =\"10175488\"]\n  8 -> 36 [size =\"10175488\"]\n  8 -> 40 [size =\"10175488\"]\n  8 -> 43 [size =\"10175488\"]\n  9 [size=\"48503467\", alpha=\"0.13\", expect_size=\"14551040\"] \n  9 -> 33 [size =\"14551040\"]\n  9 -> 34 [size =\"14551040\"]\n  9 -> 35 [size =\"14551040\"]\n  9 -> 41 [size =\"14551040\"]\n  10 [size=\"117858987\", alpha=\"0.00\", expect_size=\"35357696\"] \n  10 -> 34 [size =\"35357696\"]\n  10 -> 37 [size =\"35357696\"]\n  10 -> 39 [size =\"35357696\"]\n  10 -> 41 [size =\"35357696\"]\n  11 [size=\"120166400\", alpha=\"0.11\", expect_size=\"36049920\"] \n  11 -> 33 [size =\"36049920\"]\n  11 -> 34 [size =\"36049920\"]\n  11 -> 35 [size =\"36049920\"]\n  11 -> 36 [size =\"36049920\"]\n  11 -> 37 [size =\"36049920\"]\n  12 [size=\"149227520\", alpha=\"0.12\", expect_size=\"44768256\"] \n  12 -> 34 [size =\"44768256\"]\n  12 -> 35 [size =\"44768256\"]\n  12 -> 37 [size =\"44768256\"]\n  12 -> 40 [size =\"44768256\"]\n  12 -> 43 [size =\"44768256\"]\n  13 [size=\"166010880\", alpha=\"0.07\", expect_size=\"49803264\"] \n  13 -> 35 [size =\"49803264\"]\n  13 -> 40 [size =\"49803264\"]\n  13 -> 45 [size =\"49803264\"]\n  14 [size=\"148633600\", alpha=\"0.03\", expect_size=\"44590080\"] \n  14 -> 32 [size =\"44590080\"]\n  14 -> 33 [size =\"44590080\"]\n  14 -> 35 [size =\"44590080\"]\n  14 -> 41 [size =\"44590080\"]\n  15 [size=\"133901653\", alpha=\"0.20\", expect_size=\"40170496\"] \n  15 -> 33 [size =\"40170496\"]\n  15 -> 35 [size =\"40170496\"]\n  15 -> 36 [size =\"40170496\"]\n  15 -> 37 [size =\"40170496\"]\n  15 -> 40 [size =\"40170496\"]\n  15 -> 41 [size =\"40170496\"]\n  15 -> 43 [size =\"40170496\"]\n  15 -> 45 [size =\"40170496\"]\n  16 [size=\"89313280\", alpha=\"0.19\", expect_size=\"26793984\"] \n  16 -> 32 [size =\"26793984\"]\n  16 -> 35 [size =\"26793984\"]\n  16 -> 37 [size =\"26793984\"]\n  16 -> 38 [size =\"26793984\"]\n  16 -> 41 [size =\"26793984\"]\n  16 -> 43 [size =\"26793984\"]\n  17 [size=\"46598827\", alpha=\"0.18\", expect_size=\"13979648\"] \n  17 -> 31 [size =\"13979648\"]\n  17 -> 37 [size =\"13979648\"]\n  17 -> 39 [size =\"13979648\"]\n  17 -> 41 [size =\"13979648\"]\n  18 [size=\"125184000\", alpha=\"0.17\", expect_size=\"37555200\"] \n  18 -> 32 [size =\"37555200\"]\n  18 -> 34 [size =\"37555200\"]\n  18 -> 36 [size =\"37555200\"]\n  18 -> 37 [size =\"37555200\"]\n  18 -> 39 [size =\"37555200\"]\n  18 -> 41 [size =\"37555200\"]\n  18 -> 43 [size =\"37555200\"]\n  19 [size=\"46400853\", alpha=\"0.06\", expect_size=\"13920256\"] \n  19 -> 31 [size =\"13920256\"]\n  19 -> 33 [size =\"13920256\"]\n  19 -> 35 [size =\"13920256\"]\n  19 -> 36 [size =\"13920256\"]\n  19 -> 37 [size =\"13920256\"]\n  19 -> 40 [size =\"13920256\"]\n  19 -> 41 [size =\"13920256\"]\n  19 -> 43 [size =\"13920256\"]\n  20 [size=\"149927253\", alpha=\"0.17\", expect_size=\"44978176\"] \n  20 -> 31 [size =\"44978176\"]\n  20 -> 36 [size =\"44978176\"]\n  20 -> 39 [size =\"44978176\"]\n  20 -> 40 [size =\"44978176\"]\n  20 -> 41 [size =\"44978176\"]\n  21 [size=\"151794347\", alpha=\"0.19\", expect_size=\"45538304\"] \n  21 -> 31 [size =\"45538304\"]\n  21 -> 32 [size =\"45538304\"]\n  21 -> 34 [size =\"45538304\"]\n  21 -> 40 [size =\"45538304\"]\n  22 [size=\"84654080\", alpha=\"0.13\", expect_size=\"25396224\"] \n  22 -> 38 [size =\"25396224\"]\n  22 -> 43 [size =\"25396224\"]\n  23 [size=\"22981973\", alpha=\"0.14\", expect_size=\"6894592\"] \n  23 -> 30 [size =\"6894592\"]\n  23 -> 34 [size =\"6894592\"]\n  24 [size=\"75642880\", alpha=\"0.11\", expect_size=\"22692864\"] \n  24 -> 34 [size =\"22692864\"]\n  24 -> 34 [size =\"22692864\"]\n  24 -> 35 [size =\"22692864\"]\n  24 -> 37 [size =\"22692864\"]\n  24 -> 38 [size =\"22692864\"]\n  24 -> 39 [size =\"22692864\"]\n  24 -> 40 [size =\"22692864\"]\n  24 -> 42 [size =\"22692864\"]\n  24 -> 43 [size =\"22692864\"]\n  24 -> 44 [size =\"22692864\"]\n  25 [size=\"96273067\", alpha=\"0.04\", expect_size=\"28881920\"] \n  25 -> 34 [size =\"28881920\"]\n  25 -> 37 [size =\"28881920\"]\n  25 -> 40 [size =\"28881920\"]\n  25 -> 43 [size =\"28881920\"]\n  26 [size=\"95399253\", alpha=\"0.11\", expect_size=\"28619776\"] \n  26 -> 31 [size =\"28619776\"]\n  26 -> 36 [size =\"28619776\"]\n  26 -> 37 [size =\"28619776\"]\n  26 -> 40 [size =\"28619776\"]\n  26 -> 41 [size =\"28619776\"]\n  26 -> 43 [size =\"28619776\"]\n  27 [size=\"90207573\", alpha=\"0.18\", expect_size=\"27062272\"] \n  27 -> 32 [size =\"27062272\"]\n  27 -> 34 [size =\"27062272\"]\n  27 -> 35 [size =\"27062272\"]\n  27 -> 37 [size =\"27062272\"]\n  27 -> 40 [size =\"27062272\"]\n  27 -> 43 [size =\"27062272\"]\n  28 [size=\"77789867\", alpha=\"0.07\", expect_size=\"23336960\"] \n  28 -> 30 [size =\"23336960\"]\n  28 -> 32 [size =\"23336960\"]\n  28 -> 35 [size =\"23336960\"]\n  28 -> 37 [size =\"23336960\"]\n  28 -> 40 [size =\"23336960\"]\n  28 -> 41 [size =\"23336960\"]\n  28 -> 43 [size =\"23336960\"]\n  28 -> 44 [size =\"23336960\"]\n  28 -> 45 [size =\"23336960\"]\n  29 [size=\"57101653\", alpha=\"0.19\", expect_size=\"17130496\"] \n  29 -> 32 [size =\"17130496\"]\n  29 -> 36 [size =\"17130496\"]\n  29 -> 37 [size =\"17130496\"]\n  29 -> 43 [size =\"17130496\"]\n  30 [size=\"106021547\", alpha=\"0.05\", expect_size=\"31806464\"] \n  31 [size=\"83865600\", alpha=\"0.03\", expect_size=\"25159680\"] \n  32 [size=\"73987413\", alpha=\"0.19\", expect_size=\"22196224\"] \n  33 [size=\"20841813\", alpha=\"0.13\", expect_size=\"6252544\"] \n  34 [size=\"130986667\", alpha=\"0.04\", expect_size=\"39296000\"] \n  35 [size=\"58545493\", alpha=\"0.09\", expect_size=\"17563648\"] \n  36 [size=\"87340373\", alpha=\"0.04\", expect_size=\"26202112\"] \n  37 [size=\"18940587\", alpha=\"0.03\", expect_size=\"5682176\"] \n  38 [size=\"160256000\", alpha=\"0.15\", expect_size=\"48076800\"] \n  39 [size=\"55869440\", alpha=\"0.11\", expect_size=\"16760832\"] \n  40 [size=\"51384320\", alpha=\"0.03\", expect_size=\"15415296\"] \n  41 [size=\"89900373\", alpha=\"0.13\", expect_size=\"26970112\"] \n  42 [size=\"116821333\", alpha=\"0.11\", expect_size=\"35046400\"] \n  43 [size=\"106612053\", alpha=\"0.11\", expect_size=\"31983616\"] \n  44 [size=\"50527573\", alpha=\"0.17\", expect_size=\"15158272\"] \n  45 [size=\"79721813\", alpha=\"0.13\", expect_size=\"23916544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118720000\", alpha=\"0.02\", expect_size=\"47488000\"] \n  1 -> 6 [size =\"47488000\"]\n  1 -> 9 [size =\"47488000\"]\n  1 -> 10 [size =\"47488000\"]\n  1 -> 11 [size =\"47488000\"]\n  2 [size=\"71406080\", alpha=\"0.05\", expect_size=\"28562432\"] \n  2 -> 6 [size =\"28562432\"]\n  2 -> 8 [size =\"28562432\"]\n  2 -> 9 [size =\"28562432\"]\n  3 [size=\"20316160\", alpha=\"0.17\", expect_size=\"8126464\"] \n  3 -> 5 [size =\"8126464\"]\n  3 -> 7 [size =\"8126464\"]\n  3 -> 8 [size =\"8126464\"]\n  3 -> 11 [size =\"8126464\"]\n  4 [size=\"16647680\", alpha=\"0.01\", expect_size=\"6659072\"] \n  4 -> 5 [size =\"6659072\"]\n  4 -> 7 [size =\"6659072\"]\n  4 -> 9 [size =\"6659072\"]\n  4 -> 10 [size =\"6659072\"]\n  4 -> 11 [size =\"6659072\"]\n  5 [size=\"116805120\", alpha=\"0.18\", expect_size=\"46722048\"] \n  5 -> 14 [size =\"46722048\"]\n  6 [size=\"122426880\", alpha=\"0.16\", expect_size=\"48970752\"] \n  6 -> 12 [size =\"48970752\"]\n  6 -> 13 [size =\"48970752\"]\n  7 [size=\"108254720\", alpha=\"0.05\", expect_size=\"43301888\"] \n  8 [size=\"115765760\", alpha=\"0.07\", expect_size=\"46306304\"] \n  8 -> 15 [size =\"46306304\"]\n  9 [size=\"20631040\", alpha=\"0.09\", expect_size=\"8252416\"] \n  9 -> 12 [size =\"8252416\"]\n  9 -> 13 [size =\"8252416\"]\n  9 -> 14 [size =\"8252416\"]\n  9 -> 15 [size =\"8252416\"]\n  10 [size=\"108807680\", alpha=\"0.17\", expect_size=\"43523072\"] \n  10 -> 12 [size =\"43523072\"]\n  10 -> 15 [size =\"43523072\"]\n  11 [size=\"95270400\", alpha=\"0.20\", expect_size=\"38108160\"] \n  11 -> 12 [size =\"38108160\"]\n  11 -> 13 [size =\"38108160\"]\n  12 [size=\"105413120\", alpha=\"0.05\", expect_size=\"42165248\"] \n  12 -> 16 [size =\"42165248\"]\n  12 -> 19 [size =\"42165248\"]\n  13 [size=\"18977280\", alpha=\"0.10\", expect_size=\"7590912\"] \n  13 -> 16 [size =\"7590912\"]\n  13 -> 17 [size =\"7590912\"]\n  13 -> 18 [size =\"7590912\"]\n  14 [size=\"118184960\", alpha=\"0.02\", expect_size=\"47273984\"] \n  14 -> 18 [size =\"47273984\"]\n  15 [size=\"123059200\", alpha=\"0.08\", expect_size=\"49223680\"] \n  15 -> 17 [size =\"49223680\"]\n  16 [size=\"109081600\", alpha=\"0.10\", expect_size=\"43632640\"] \n  17 [size=\"85926400\", alpha=\"0.04\", expect_size=\"34370560\"] \n  17 -> 21 [size =\"34370560\"]\n  17 -> 23 [size =\"34370560\"]\n  17 -> 24 [size =\"34370560\"]\n  17 -> 25 [size =\"34370560\"]\n  18 [size=\"114795520\", alpha=\"0.15\", expect_size=\"45918208\"] \n  18 -> 20 [size =\"45918208\"]\n  18 -> 21 [size =\"45918208\"]\n  18 -> 22 [size =\"45918208\"]\n  19 [size=\"40832000\", alpha=\"0.18\", expect_size=\"16332800\"] \n  19 -> 25 [size =\"16332800\"]\n  20 [size=\"94300160\", alpha=\"0.03\", expect_size=\"37720064\"] \n  20 -> 26 [size =\"37720064\"]\n  21 [size=\"78668800\", alpha=\"0.07\", expect_size=\"31467520\"] \n  21 -> 26 [size =\"31467520\"]\n  21 -> 29 [size =\"31467520\"]\n  22 [size=\"76331520\", alpha=\"0.01\", expect_size=\"30532608\"] \n  22 -> 26 [size =\"30532608\"]\n  22 -> 27 [size =\"30532608\"]\n  23 [size=\"106219520\", alpha=\"0.16\", expect_size=\"42487808\"] \n  23 -> 27 [size =\"42487808\"]\n  23 -> 29 [size =\"42487808\"]\n  24 [size=\"47557120\", alpha=\"0.11\", expect_size=\"19022848\"] \n  24 -> 26 [size =\"19022848\"]\n  24 -> 27 [size =\"19022848\"]\n  24 -> 28 [size =\"19022848\"]\n  24 -> 29 [size =\"19022848\"]\n  25 [size=\"56698880\", alpha=\"0.04\", expect_size=\"22679552\"] \n  26 [size=\"103720960\", alpha=\"0.16\", expect_size=\"41488384\"] \n  26 -> 30 [size =\"41488384\"]\n  26 -> 31 [size =\"41488384\"]\n  26 -> 33 [size =\"41488384\"]\n  26 -> 34 [size =\"41488384\"]\n  26 -> 35 [size =\"41488384\"]\n  27 [size=\"42910720\", alpha=\"0.03\", expect_size=\"17164288\"] \n  27 -> 32 [size =\"17164288\"]\n  27 -> 35 [size =\"17164288\"]\n  28 [size=\"68039680\", alpha=\"0.08\", expect_size=\"27215872\"] \n  28 -> 31 [size =\"27215872\"]\n  28 -> 34 [size =\"27215872\"]\n  28 -> 35 [size =\"27215872\"]\n  29 [size=\"41464320\", alpha=\"0.15\", expect_size=\"16585728\"] \n  29 -> 30 [size =\"16585728\"]\n  29 -> 33 [size =\"16585728\"]\n  29 -> 34 [size =\"16585728\"]\n  30 [size=\"27310080\", alpha=\"0.17\", expect_size=\"10924032\"] \n  30 -> 36 [size =\"10924032\"]\n  30 -> 37 [size =\"10924032\"]\n  31 [size=\"47485440\", alpha=\"0.14\", expect_size=\"18994176\"] \n  31 -> 38 [size =\"18994176\"]\n  31 -> 39 [size =\"18994176\"]\n  32 [size=\"89638400\", alpha=\"0.06\", expect_size=\"35855360\"] \n  32 -> 36 [size =\"35855360\"]\n  33 [size=\"94108160\", alpha=\"0.19\", expect_size=\"37643264\"] \n  33 -> 36 [size =\"37643264\"]\n  34 [size=\"68101120\", alpha=\"0.10\", expect_size=\"27240448\"] \n  34 -> 36 [size =\"27240448\"]\n  35 [size=\"15160320\", alpha=\"0.20\", expect_size=\"6064128\"] \n  35 -> 36 [size =\"6064128\"]\n  36 [size=\"38983680\", alpha=\"0.06\", expect_size=\"15593472\"] \n  36 -> 43 [size =\"15593472\"]\n  36 -> 44 [size =\"15593472\"]\n  37 [size=\"130928640\", alpha=\"0.04\", expect_size=\"52371456\"] \n  37 -> 42 [size =\"52371456\"]\n  37 -> 44 [size =\"52371456\"]\n  38 [size=\"32250880\", alpha=\"0.19\", expect_size=\"12900352\"] \n  38 -> 40 [size =\"12900352\"]\n  38 -> 41 [size =\"12900352\"]\n  38 -> 42 [size =\"12900352\"]\n  38 -> 43 [size =\"12900352\"]\n  38 -> 44 [size =\"12900352\"]\n  39 [size=\"81538560\", alpha=\"0.20\", expect_size=\"32615424\"] \n  39 -> 40 [size =\"32615424\"]\n  39 -> 43 [size =\"32615424\"]\n  40 [size=\"50385920\", alpha=\"0.13\", expect_size=\"20154368\"] \n  41 [size=\"34498560\", alpha=\"0.19\", expect_size=\"13799424\"] \n  42 [size=\"116039680\", alpha=\"0.14\", expect_size=\"46415872\"] \n  43 [size=\"33418240\", alpha=\"0.06\", expect_size=\"13367296\"] \n  43 -> 45 [size =\"13367296\"]\n  44 [size=\"28441600\", alpha=\"0.03\", expect_size=\"11376640\"] \n  44 -> 45 [size =\"11376640\"]\n  45 [size=\"88220160\", alpha=\"0.08\", expect_size=\"35288064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15459840\", alpha=\"0.18\", expect_size=\"6183936\"] \n  1 -> 6 [size =\"6183936\"]\n  1 -> 9 [size =\"6183936\"]\n  1 -> 11 [size =\"6183936\"]\n  2 [size=\"122839040\", alpha=\"0.02\", expect_size=\"49135616\"] \n  2 -> 8 [size =\"49135616\"]\n  2 -> 9 [size =\"49135616\"]\n  2 -> 10 [size =\"49135616\"]\n  2 -> 11 [size =\"49135616\"]\n  3 [size=\"42460160\", alpha=\"0.08\", expect_size=\"16984064\"] \n  3 -> 7 [size =\"16984064\"]\n  3 -> 10 [size =\"16984064\"]\n  3 -> 11 [size =\"16984064\"]\n  4 [size=\"44830720\", alpha=\"0.07\", expect_size=\"17932288\"] \n  4 -> 7 [size =\"17932288\"]\n  4 -> 11 [size =\"17932288\"]\n  5 [size=\"96724480\", alpha=\"0.16\", expect_size=\"38689792\"] \n  5 -> 6 [size =\"38689792\"]\n  5 -> 10 [size =\"38689792\"]\n  6 [size=\"78080000\", alpha=\"0.08\", expect_size=\"31232000\"] \n  6 -> 13 [size =\"31232000\"]\n  6 -> 15 [size =\"31232000\"]\n  7 [size=\"129950720\", alpha=\"0.10\", expect_size=\"51980288\"] \n  7 -> 13 [size =\"51980288\"]\n  8 [size=\"53063680\", alpha=\"0.15\", expect_size=\"21225472\"] \n  8 -> 12 [size =\"21225472\"]\n  8 -> 14 [size =\"21225472\"]\n  9 [size=\"130472960\", alpha=\"0.12\", expect_size=\"52189184\"] \n  9 -> 12 [size =\"52189184\"]\n  10 [size=\"60656640\", alpha=\"0.11\", expect_size=\"24262656\"] \n  10 -> 12 [size =\"24262656\"]\n  10 -> 16 [size =\"24262656\"]\n  11 [size=\"33728000\", alpha=\"0.02\", expect_size=\"13491200\"] \n  11 -> 12 [size =\"13491200\"]\n  12 [size=\"23060480\", alpha=\"0.20\", expect_size=\"9224192\"] \n  12 -> 20 [size =\"9224192\"]\n  12 -> 21 [size =\"9224192\"]\n  12 -> 22 [size =\"9224192\"]\n  13 [size=\"33960960\", alpha=\"0.13\", expect_size=\"13584384\"] \n  13 -> 20 [size =\"13584384\"]\n  13 -> 22 [size =\"13584384\"]\n  13 -> 22 [size =\"13584384\"]\n  14 [size=\"83287040\", alpha=\"0.08\", expect_size=\"33314816\"] \n  14 -> 20 [size =\"33314816\"]\n  15 [size=\"124172800\", alpha=\"0.11\", expect_size=\"49669120\"] \n  15 -> 17 [size =\"49669120\"]\n  15 -> 18 [size =\"49669120\"]\n  15 -> 20 [size =\"49669120\"]\n  15 -> 21 [size =\"49669120\"]\n  16 [size=\"97804800\", alpha=\"0.07\", expect_size=\"39121920\"] \n  16 -> 18 [size =\"39121920\"]\n  16 -> 19 [size =\"39121920\"]\n  16 -> 21 [size =\"39121920\"]\n  16 -> 21 [size =\"39121920\"]\n  17 [size=\"24171520\", alpha=\"0.11\", expect_size=\"9668608\"] \n  17 -> 23 [size =\"9668608\"]\n  17 -> 24 [size =\"9668608\"]\n  17 -> 26 [size =\"9668608\"]\n  18 [size=\"80852480\", alpha=\"0.00\", expect_size=\"32340992\"] \n  18 -> 23 [size =\"32340992\"]\n  18 -> 24 [size =\"32340992\"]\n  18 -> 25 [size =\"32340992\"]\n  19 [size=\"52416000\", alpha=\"0.14\", expect_size=\"20966400\"] \n  19 -> 23 [size =\"20966400\"]\n  19 -> 24 [size =\"20966400\"]\n  19 -> 25 [size =\"20966400\"]\n  19 -> 26 [size =\"20966400\"]\n  20 [size=\"122045440\", alpha=\"0.18\", expect_size=\"48818176\"] \n  20 -> 25 [size =\"48818176\"]\n  20 -> 27 [size =\"48818176\"]\n  21 [size=\"69765120\", alpha=\"0.03\", expect_size=\"27906048\"] \n  21 -> 23 [size =\"27906048\"]\n  21 -> 24 [size =\"27906048\"]\n  21 -> 25 [size =\"27906048\"]\n  21 -> 27 [size =\"27906048\"]\n  22 [size=\"82475520\", alpha=\"0.06\", expect_size=\"32990208\"] \n  22 -> 23 [size =\"32990208\"]\n  22 -> 24 [size =\"32990208\"]\n  22 -> 27 [size =\"32990208\"]\n  22 -> 27 [size =\"32990208\"]\n  23 [size=\"81520640\", alpha=\"0.14\", expect_size=\"32608256\"] \n  23 -> 28 [size =\"32608256\"]\n  23 -> 30 [size =\"32608256\"]\n  23 -> 31 [size =\"32608256\"]\n  23 -> 32 [size =\"32608256\"]\n  24 [size=\"42938880\", alpha=\"0.08\", expect_size=\"17175552\"] \n  24 -> 30 [size =\"17175552\"]\n  24 -> 30 [size =\"17175552\"]\n  24 -> 31 [size =\"17175552\"]\n  25 [size=\"89377280\", alpha=\"0.15\", expect_size=\"35750912\"] \n  25 -> 32 [size =\"35750912\"]\n  25 -> 33 [size =\"35750912\"]\n  26 [size=\"34549760\", alpha=\"0.14\", expect_size=\"13819904\"] \n  26 -> 33 [size =\"13819904\"]\n  26 -> 33 [size =\"13819904\"]\n  27 [size=\"77703680\", alpha=\"0.13\", expect_size=\"31081472\"] \n  27 -> 29 [size =\"31081472\"]\n  27 -> 31 [size =\"31081472\"]\n  28 [size=\"24391680\", alpha=\"0.18\", expect_size=\"9756672\"] \n  28 -> 35 [size =\"9756672\"]\n  28 -> 36 [size =\"9756672\"]\n  28 -> 38 [size =\"9756672\"]\n  28 -> 39 [size =\"9756672\"]\n  29 [size=\"25512960\", alpha=\"0.03\", expect_size=\"10205184\"] \n  29 -> 34 [size =\"10205184\"]\n  30 [size=\"108193280\", alpha=\"0.16\", expect_size=\"43277312\"] \n  30 -> 34 [size =\"43277312\"]\n  30 -> 38 [size =\"43277312\"]\n  31 [size=\"97556480\", alpha=\"0.13\", expect_size=\"39022592\"] \n  31 -> 35 [size =\"39022592\"]\n  31 -> 36 [size =\"39022592\"]\n  31 -> 38 [size =\"39022592\"]\n  32 [size=\"113917440\", alpha=\"0.12\", expect_size=\"45566976\"] \n  32 -> 36 [size =\"45566976\"]\n  32 -> 38 [size =\"45566976\"]\n  33 [size=\"31083520\", alpha=\"0.14\", expect_size=\"12433408\"] \n  33 -> 36 [size =\"12433408\"]\n  33 -> 37 [size =\"12433408\"]\n  34 [size=\"114337280\", alpha=\"0.08\", expect_size=\"45734912\"] \n  34 -> 45 [size =\"45734912\"]\n  35 [size=\"41510400\", alpha=\"0.00\", expect_size=\"16604160\"] \n  35 -> 40 [size =\"16604160\"]\n  35 -> 43 [size =\"16604160\"]\n  35 -> 44 [size =\"16604160\"]\n  35 -> 45 [size =\"16604160\"]\n  36 [size=\"14179840\", alpha=\"0.07\", expect_size=\"5671936\"] \n  36 -> 44 [size =\"5671936\"]\n  36 -> 45 [size =\"5671936\"]\n  37 [size=\"97323520\", alpha=\"0.16\", expect_size=\"38929408\"] \n  37 -> 40 [size =\"38929408\"]\n  37 -> 44 [size =\"38929408\"]\n  38 [size=\"53890560\", alpha=\"0.17\", expect_size=\"21556224\"] \n  38 -> 42 [size =\"21556224\"]\n  38 -> 44 [size =\"21556224\"]\n  39 [size=\"41804800\", alpha=\"0.04\", expect_size=\"16721920\"] \n  39 -> 41 [size =\"16721920\"]\n  39 -> 42 [size =\"16721920\"]\n  39 -> 45 [size =\"16721920\"]\n  40 [size=\"60469760\", alpha=\"0.09\", expect_size=\"24187904\"] \n  41 [size=\"39470080\", alpha=\"0.05\", expect_size=\"15788032\"] \n  42 [size=\"117393920\", alpha=\"0.12\", expect_size=\"46957568\"] \n  43 [size=\"68264960\", alpha=\"0.10\", expect_size=\"27305984\"] \n  44 [size=\"30901760\", alpha=\"0.14\", expect_size=\"12360704\"] \n  45 [size=\"75489280\", alpha=\"0.10\", expect_size=\"30195712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111680000\", alpha=\"0.16\", expect_size=\"44672000\"] \n  1 -> 39 [size =\"44672000\"]\n  1 -> 40 [size =\"44672000\"]\n  2 [size=\"126312960\", alpha=\"0.17\", expect_size=\"50525184\"] \n  2 -> 39 [size =\"50525184\"]\n  2 -> 42 [size =\"50525184\"]\n  3 [size=\"87618560\", alpha=\"0.09\", expect_size=\"35047424\"] \n  3 -> 41 [size =\"35047424\"]\n  3 -> 42 [size =\"35047424\"]\n  3 -> 44 [size =\"35047424\"]\n  3 -> 45 [size =\"35047424\"]\n  4 [size=\"102167040\", alpha=\"0.14\", expect_size=\"40866816\"] \n  5 [size=\"40629760\", alpha=\"0.06\", expect_size=\"16251904\"] \n  6 [size=\"107368960\", alpha=\"0.13\", expect_size=\"42947584\"] \n  6 -> 42 [size =\"42947584\"]\n  6 -> 44 [size =\"42947584\"]\n  7 [size=\"55052800\", alpha=\"0.14\", expect_size=\"22021120\"] \n  7 -> 39 [size =\"22021120\"]\n  7 -> 41 [size =\"22021120\"]\n  7 -> 42 [size =\"22021120\"]\n  7 -> 44 [size =\"22021120\"]\n  8 [size=\"106949120\", alpha=\"0.07\", expect_size=\"42779648\"] \n  8 -> 39 [size =\"42779648\"]\n  8 -> 42 [size =\"42779648\"]\n  8 -> 42 [size =\"42779648\"]\n  8 -> 43 [size =\"42779648\"]\n  8 -> 44 [size =\"42779648\"]\n  9 [size=\"61829120\", alpha=\"0.03\", expect_size=\"24731648\"] \n  9 -> 40 [size =\"24731648\"]\n  9 -> 43 [size =\"24731648\"]\n  10 [size=\"68544000\", alpha=\"0.03\", expect_size=\"27417600\"] \n  10 -> 42 [size =\"27417600\"]\n  10 -> 44 [size =\"27417600\"]\n  11 [size=\"66531840\", alpha=\"0.03\", expect_size=\"26612736\"] \n  12 [size=\"40202240\", alpha=\"0.06\", expect_size=\"16080896\"] \n  12 -> 39 [size =\"16080896\"]\n  12 -> 41 [size =\"16080896\"]\n  12 -> 44 [size =\"16080896\"]\n  12 -> 45 [size =\"16080896\"]\n  13 [size=\"23969280\", alpha=\"0.11\", expect_size=\"9587712\"] \n  13 -> 41 [size =\"9587712\"]\n  13 -> 42 [size =\"9587712\"]\n  14 [size=\"74585600\", alpha=\"0.14\", expect_size=\"29834240\"] \n  14 -> 44 [size =\"29834240\"]\n  15 [size=\"38781440\", alpha=\"0.16\", expect_size=\"15512576\"] \n  16 [size=\"72028160\", alpha=\"0.19\", expect_size=\"28811264\"] \n  17 [size=\"33172480\", alpha=\"0.14\", expect_size=\"13268992\"] \n  17 -> 42 [size =\"13268992\"]\n  18 [size=\"113661440\", alpha=\"0.19\", expect_size=\"45464576\"] \n  18 -> 39 [size =\"45464576\"]\n  18 -> 40 [size =\"45464576\"]\n  19 [size=\"35141120\", alpha=\"0.11\", expect_size=\"14056448\"] \n  20 [size=\"54627840\", alpha=\"0.15\", expect_size=\"21851136\"] \n  21 [size=\"73489920\", alpha=\"0.15\", expect_size=\"29395968\"] \n  21 -> 39 [size =\"29395968\"]\n  21 -> 42 [size =\"29395968\"]\n  21 -> 44 [size =\"29395968\"]\n  22 [size=\"88926720\", alpha=\"0.15\", expect_size=\"35570688\"] \n  22 -> 43 [size =\"35570688\"]\n  22 -> 44 [size =\"35570688\"]\n  23 [size=\"126530560\", alpha=\"0.07\", expect_size=\"50612224\"] \n  23 -> 42 [size =\"50612224\"]\n  24 [size=\"72061440\", alpha=\"0.15\", expect_size=\"28824576\"] \n  24 -> 43 [size =\"28824576\"]\n  25 [size=\"39518720\", alpha=\"0.07\", expect_size=\"15807488\"] \n  25 -> 45 [size =\"15807488\"]\n  26 [size=\"18693120\", alpha=\"0.15\", expect_size=\"7477248\"] \n  26 -> 42 [size =\"7477248\"]\n  26 -> 44 [size =\"7477248\"]\n  27 [size=\"128363520\", alpha=\"0.10\", expect_size=\"51345408\"] \n  27 -> 39 [size =\"51345408\"]\n  27 -> 42 [size =\"51345408\"]\n  28 [size=\"90472960\", alpha=\"0.02\", expect_size=\"36189184\"] \n  28 -> 42 [size =\"36189184\"]\n  28 -> 43 [size =\"36189184\"]\n  29 [size=\"86679040\", alpha=\"0.01\", expect_size=\"34671616\"] \n  29 -> 39 [size =\"34671616\"]\n  29 -> 44 [size =\"34671616\"]\n  30 [size=\"32473600\", alpha=\"0.10\", expect_size=\"12989440\"] \n  30 -> 42 [size =\"12989440\"]\n  30 -> 43 [size =\"12989440\"]\n  30 -> 44 [size =\"12989440\"]\n  31 [size=\"119011840\", alpha=\"0.08\", expect_size=\"47604736\"] \n  32 [size=\"90974720\", alpha=\"0.10\", expect_size=\"36389888\"] \n  33 [size=\"61568000\", alpha=\"0.15\", expect_size=\"24627200\"] \n  33 -> 39 [size =\"24627200\"]\n  33 -> 40 [size =\"24627200\"]\n  33 -> 45 [size =\"24627200\"]\n  34 [size=\"105303040\", alpha=\"0.09\", expect_size=\"42121216\"] \n  34 -> 39 [size =\"42121216\"]\n  34 -> 42 [size =\"42121216\"]\n  34 -> 45 [size =\"42121216\"]\n  35 [size=\"75315200\", alpha=\"0.08\", expect_size=\"30126080\"] \n  35 -> 42 [size =\"30126080\"]\n  35 -> 44 [size =\"30126080\"]\n  35 -> 45 [size =\"30126080\"]\n  36 [size=\"117086720\", alpha=\"0.18\", expect_size=\"46834688\"] \n  37 [size=\"88957440\", alpha=\"0.10\", expect_size=\"35582976\"] \n  37 -> 42 [size =\"35582976\"]\n  38 [size=\"32870400\", alpha=\"0.20\", expect_size=\"13148160\"] \n  38 -> 39 [size =\"13148160\"]\n  38 -> 42 [size =\"13148160\"]\n  39 [size=\"42672640\", alpha=\"0.13\", expect_size=\"17069056\"] \n  40 [size=\"49121280\", alpha=\"0.13\", expect_size=\"19648512\"] \n  41 [size=\"107655680\", alpha=\"0.04\", expect_size=\"43062272\"] \n  42 [size=\"35770880\", alpha=\"0.07\", expect_size=\"14308352\"] \n  43 [size=\"96496640\", alpha=\"0.10\", expect_size=\"38598656\"] \n  44 [size=\"64762880\", alpha=\"0.02\", expect_size=\"25905152\"] \n  45 [size=\"120017920\", alpha=\"0.20\", expect_size=\"48007168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98696533\", alpha=\"0.13\", expect_size=\"29608960\"] \n  1 -> 22 [size =\"29608960\"]\n  1 -> 24 [size =\"29608960\"]\n  1 -> 25 [size =\"29608960\"]\n  1 -> 26 [size =\"29608960\"]\n  1 -> 28 [size =\"29608960\"]\n  2 [size=\"103441067\", alpha=\"0.11\", expect_size=\"31032320\"] \n  2 -> 17 [size =\"31032320\"]\n  2 -> 21 [size =\"31032320\"]\n  2 -> 22 [size =\"31032320\"]\n  2 -> 25 [size =\"31032320\"]\n  2 -> 26 [size =\"31032320\"]\n  2 -> 28 [size =\"31032320\"]\n  3 [size=\"170321920\", alpha=\"0.16\", expect_size=\"51096576\"] \n  3 -> 16 [size =\"51096576\"]\n  3 -> 17 [size =\"51096576\"]\n  3 -> 19 [size =\"51096576\"]\n  3 -> 24 [size =\"51096576\"]\n  3 -> 27 [size =\"51096576\"]\n  3 -> 28 [size =\"51096576\"]\n  4 [size=\"81851733\", alpha=\"0.19\", expect_size=\"24555520\"] \n  4 -> 16 [size =\"24555520\"]\n  4 -> 17 [size =\"24555520\"]\n  4 -> 18 [size =\"24555520\"]\n  4 -> 21 [size =\"24555520\"]\n  5 [size=\"19848533\", alpha=\"0.18\", expect_size=\"5954560\"] \n  5 -> 18 [size =\"5954560\"]\n  5 -> 19 [size =\"5954560\"]\n  5 -> 28 [size =\"5954560\"]\n  6 [size=\"147425280\", alpha=\"0.10\", expect_size=\"44227584\"] \n  6 -> 14 [size =\"44227584\"]\n  6 -> 17 [size =\"44227584\"]\n  6 -> 19 [size =\"44227584\"]\n  6 -> 24 [size =\"44227584\"]\n  6 -> 25 [size =\"44227584\"]\n  6 -> 27 [size =\"44227584\"]\n  7 [size=\"18025813\", alpha=\"0.04\", expect_size=\"5407744\"] \n  7 -> 14 [size =\"5407744\"]\n  7 -> 23 [size =\"5407744\"]\n  7 -> 25 [size =\"5407744\"]\n  7 -> 26 [size =\"5407744\"]\n  7 -> 27 [size =\"5407744\"]\n  7 -> 27 [size =\"5407744\"]\n  8 [size=\"137581227\", alpha=\"0.07\", expect_size=\"41274368\"] \n  8 -> 14 [size =\"41274368\"]\n  8 -> 19 [size =\"41274368\"]\n  8 -> 22 [size =\"41274368\"]\n  8 -> 26 [size =\"41274368\"]\n  8 -> 27 [size =\"41274368\"]\n  9 [size=\"25316693\", alpha=\"0.14\", expect_size=\"7595008\"] \n  9 -> 21 [size =\"7595008\"]\n  9 -> 23 [size =\"7595008\"]\n  9 -> 24 [size =\"7595008\"]\n  9 -> 26 [size =\"7595008\"]\n  9 -> 28 [size =\"7595008\"]\n  10 [size=\"93146453\", alpha=\"0.15\", expect_size=\"27943936\"] \n  10 -> 15 [size =\"27943936\"]\n  10 -> 16 [size =\"27943936\"]\n  10 -> 24 [size =\"27943936\"]\n  10 -> 28 [size =\"27943936\"]\n  11 [size=\"133270187\", alpha=\"0.12\", expect_size=\"39981056\"] \n  11 -> 17 [size =\"39981056\"]\n  11 -> 24 [size =\"39981056\"]\n  11 -> 25 [size =\"39981056\"]\n  12 [size=\"76103680\", alpha=\"0.09\", expect_size=\"22831104\"] \n  12 -> 14 [size =\"22831104\"]\n  12 -> 16 [size =\"22831104\"]\n  12 -> 17 [size =\"22831104\"]\n  12 -> 21 [size =\"22831104\"]\n  12 -> 22 [size =\"22831104\"]\n  12 -> 23 [size =\"22831104\"]\n  12 -> 25 [size =\"22831104\"]\n  13 [size=\"164778667\", alpha=\"0.17\", expect_size=\"49433600\"] \n  13 -> 14 [size =\"49433600\"]\n  13 -> 16 [size =\"49433600\"]\n  13 -> 20 [size =\"49433600\"]\n  13 -> 22 [size =\"49433600\"]\n  13 -> 24 [size =\"49433600\"]\n  14 [size=\"133007360\", alpha=\"0.11\", expect_size=\"39902208\"] \n  15 [size=\"124562773\", alpha=\"0.18\", expect_size=\"37368832\"] \n  15 -> 31 [size =\"37368832\"]\n  16 [size=\"107195733\", alpha=\"0.02\", expect_size=\"32158720\"] \n  16 -> 29 [size =\"32158720\"]\n  16 -> 30 [size =\"32158720\"]\n  16 -> 31 [size =\"32158720\"]\n  16 -> 33 [size =\"32158720\"]\n  17 [size=\"25241600\", alpha=\"0.17\", expect_size=\"7572480\"] \n  17 -> 30 [size =\"7572480\"]\n  17 -> 30 [size =\"7572480\"]\n  17 -> 31 [size =\"7572480\"]\n  17 -> 32 [size =\"7572480\"]\n  18 [size=\"60330667\", alpha=\"0.13\", expect_size=\"18099200\"] \n  18 -> 30 [size =\"18099200\"]\n  18 -> 31 [size =\"18099200\"]\n  18 -> 31 [size =\"18099200\"]\n  18 -> 32 [size =\"18099200\"]\n  18 -> 33 [size =\"18099200\"]\n  18 -> 34 [size =\"18099200\"]\n  18 -> 35 [size =\"18099200\"]\n  19 [size=\"119104853\", alpha=\"0.18\", expect_size=\"35731456\"] \n  19 -> 31 [size =\"35731456\"]\n  19 -> 35 [size =\"35731456\"]\n  20 [size=\"68778667\", alpha=\"0.15\", expect_size=\"20633600\"] \n  20 -> 35 [size =\"20633600\"]\n  21 [size=\"26419200\", alpha=\"0.03\", expect_size=\"7925760\"] \n  21 -> 30 [size =\"7925760\"]\n  21 -> 31 [size =\"7925760\"]\n  21 -> 32 [size =\"7925760\"]\n  21 -> 33 [size =\"7925760\"]\n  21 -> 34 [size =\"7925760\"]\n  21 -> 35 [size =\"7925760\"]\n  22 [size=\"117466453\", alpha=\"0.02\", expect_size=\"35239936\"] \n  22 -> 30 [size =\"35239936\"]\n  22 -> 32 [size =\"35239936\"]\n  22 -> 35 [size =\"35239936\"]\n  23 [size=\"29173760\", alpha=\"0.01\", expect_size=\"8752128\"] \n  23 -> 30 [size =\"8752128\"]\n  23 -> 34 [size =\"8752128\"]\n  24 [size=\"162624853\", alpha=\"0.07\", expect_size=\"48787456\"] \n  25 [size=\"92897280\", alpha=\"0.14\", expect_size=\"27869184\"] \n  25 -> 32 [size =\"27869184\"]\n  26 [size=\"80759467\", alpha=\"0.17\", expect_size=\"24227840\"] \n  26 -> 32 [size =\"24227840\"]\n  26 -> 35 [size =\"24227840\"]\n  27 [size=\"93265920\", alpha=\"0.01\", expect_size=\"27979776\"] \n  27 -> 31 [size =\"27979776\"]\n  27 -> 32 [size =\"27979776\"]\n  27 -> 33 [size =\"27979776\"]\n  28 [size=\"73304747\", alpha=\"0.19\", expect_size=\"21991424\"] \n  28 -> 30 [size =\"21991424\"]\n  29 [size=\"174124373\", alpha=\"0.19\", expect_size=\"52237312\"] \n  29 -> 38 [size =\"52237312\"]\n  29 -> 39 [size =\"52237312\"]\n  30 [size=\"155989333\", alpha=\"0.08\", expect_size=\"46796800\"] \n  30 -> 36 [size =\"46796800\"]\n  30 -> 39 [size =\"46796800\"]\n  30 -> 41 [size =\"46796800\"]\n  31 [size=\"119282347\", alpha=\"0.12\", expect_size=\"35784704\"] \n  31 -> 41 [size =\"35784704\"]\n  31 -> 42 [size =\"35784704\"]\n  31 -> 43 [size =\"35784704\"]\n  32 [size=\"145230507\", alpha=\"0.04\", expect_size=\"43569152\"] \n  32 -> 36 [size =\"43569152\"]\n  32 -> 40 [size =\"43569152\"]\n  32 -> 41 [size =\"43569152\"]\n  33 [size=\"162512213\", alpha=\"0.14\", expect_size=\"48753664\"] \n  33 -> 39 [size =\"48753664\"]\n  33 -> 40 [size =\"48753664\"]\n  33 -> 44 [size =\"48753664\"]\n  34 [size=\"166683307\", alpha=\"0.19\", expect_size=\"50004992\"] \n  34 -> 36 [size =\"50004992\"]\n  34 -> 38 [size =\"50004992\"]\n  34 -> 41 [size =\"50004992\"]\n  34 -> 43 [size =\"50004992\"]\n  34 -> 45 [size =\"50004992\"]\n  35 [size=\"64836267\", alpha=\"0.17\", expect_size=\"19450880\"] \n  35 -> 37 [size =\"19450880\"]\n  35 -> 44 [size =\"19450880\"]\n  36 [size=\"173916160\", alpha=\"0.07\", expect_size=\"52174848\"] \n  37 [size=\"152023040\", alpha=\"0.18\", expect_size=\"45606912\"] \n  38 [size=\"156986027\", alpha=\"0.15\", expect_size=\"47095808\"] \n  39 [size=\"151630507\", alpha=\"0.04\", expect_size=\"45489152\"] \n  40 [size=\"143796907\", alpha=\"0.20\", expect_size=\"43139072\"] \n  41 [size=\"51872427\", alpha=\"0.17\", expect_size=\"15561728\"] \n  42 [size=\"148937387\", alpha=\"0.06\", expect_size=\"44681216\"] \n  43 [size=\"21760000\", alpha=\"0.18\", expect_size=\"6528000\"] \n  44 [size=\"132218880\", alpha=\"0.07\", expect_size=\"39665664\"] \n  45 [size=\"123985920\", alpha=\"0.06\", expect_size=\"37195776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47036416\", alpha=\"0.07\", expect_size=\"23518208\"] \n  1 -> 16 [size =\"23518208\"]\n  1 -> 17 [size =\"23518208\"]\n  1 -> 21 [size =\"23518208\"]\n  1 -> 24 [size =\"23518208\"]\n  1 -> 27 [size =\"23518208\"]\n  2 [size=\"70895616\", alpha=\"0.05\", expect_size=\"35447808\"] \n  2 -> 16 [size =\"35447808\"]\n  2 -> 17 [size =\"35447808\"]\n  2 -> 21 [size =\"35447808\"]\n  2 -> 22 [size =\"35447808\"]\n  2 -> 25 [size =\"35447808\"]\n  2 -> 27 [size =\"35447808\"]\n  3 [size=\"104392704\", alpha=\"0.12\", expect_size=\"52196352\"] \n  3 -> 16 [size =\"52196352\"]\n  3 -> 17 [size =\"52196352\"]\n  3 -> 21 [size =\"52196352\"]\n  3 -> 25 [size =\"52196352\"]\n  4 [size=\"59396096\", alpha=\"0.17\", expect_size=\"29698048\"] \n  4 -> 16 [size =\"29698048\"]\n  4 -> 20 [size =\"29698048\"]\n  4 -> 26 [size =\"29698048\"]\n  5 [size=\"46825472\", alpha=\"0.06\", expect_size=\"23412736\"] \n  5 -> 19 [size =\"23412736\"]\n  5 -> 20 [size =\"23412736\"]\n  5 -> 24 [size =\"23412736\"]\n  5 -> 25 [size =\"23412736\"]\n  5 -> 27 [size =\"23412736\"]\n  5 -> 28 [size =\"23412736\"]\n  6 [size=\"25423872\", alpha=\"0.12\", expect_size=\"12711936\"] \n  6 -> 20 [size =\"12711936\"]\n  6 -> 20 [size =\"12711936\"]\n  6 -> 25 [size =\"12711936\"]\n  6 -> 26 [size =\"12711936\"]\n  7 [size=\"97265664\", alpha=\"0.04\", expect_size=\"48632832\"] \n  7 -> 17 [size =\"48632832\"]\n  7 -> 18 [size =\"48632832\"]\n  7 -> 20 [size =\"48632832\"]\n  7 -> 21 [size =\"48632832\"]\n  7 -> 24 [size =\"48632832\"]\n  7 -> 26 [size =\"48632832\"]\n  8 [size=\"79859712\", alpha=\"0.16\", expect_size=\"39929856\"] \n  8 -> 16 [size =\"39929856\"]\n  8 -> 18 [size =\"39929856\"]\n  8 -> 19 [size =\"39929856\"]\n  8 -> 20 [size =\"39929856\"]\n  8 -> 21 [size =\"39929856\"]\n  8 -> 25 [size =\"39929856\"]\n  8 -> 26 [size =\"39929856\"]\n  9 [size=\"81336320\", alpha=\"0.19\", expect_size=\"40668160\"] \n  9 -> 24 [size =\"40668160\"]\n  10 [size=\"48449536\", alpha=\"0.12\", expect_size=\"24224768\"] \n  10 -> 16 [size =\"24224768\"]\n  10 -> 17 [size =\"24224768\"]\n  10 -> 21 [size =\"24224768\"]\n  10 -> 24 [size =\"24224768\"]\n  10 -> 25 [size =\"24224768\"]\n  11 [size=\"38969344\", alpha=\"0.18\", expect_size=\"19484672\"] \n  11 -> 16 [size =\"19484672\"]\n  11 -> 20 [size =\"19484672\"]\n  11 -> 23 [size =\"19484672\"]\n  11 -> 24 [size =\"19484672\"]\n  11 -> 27 [size =\"19484672\"]\n  12 [size=\"73289728\", alpha=\"0.07\", expect_size=\"36644864\"] \n  12 -> 28 [size =\"36644864\"]\n  13 [size=\"95862784\", alpha=\"0.02\", expect_size=\"47931392\"] \n  13 -> 16 [size =\"47931392\"]\n  13 -> 25 [size =\"47931392\"]\n  13 -> 27 [size =\"47931392\"]\n  14 [size=\"58853376\", alpha=\"0.16\", expect_size=\"29426688\"] \n  14 -> 16 [size =\"29426688\"]\n  14 -> 17 [size =\"29426688\"]\n  14 -> 20 [size =\"29426688\"]\n  14 -> 21 [size =\"29426688\"]\n  14 -> 24 [size =\"29426688\"]\n  14 -> 25 [size =\"29426688\"]\n  14 -> 27 [size =\"29426688\"]\n  15 [size=\"46977024\", alpha=\"0.04\", expect_size=\"23488512\"] \n  15 -> 16 [size =\"23488512\"]\n  15 -> 24 [size =\"23488512\"]\n  15 -> 25 [size =\"23488512\"]\n  15 -> 28 [size =\"23488512\"]\n  16 [size=\"73986048\", alpha=\"0.10\", expect_size=\"36993024\"] \n  16 -> 29 [size =\"36993024\"]\n  16 -> 30 [size =\"36993024\"]\n  16 -> 32 [size =\"36993024\"]\n  16 -> 33 [size =\"36993024\"]\n  16 -> 36 [size =\"36993024\"]\n  16 -> 37 [size =\"36993024\"]\n  16 -> 39 [size =\"36993024\"]\n  16 -> 43 [size =\"36993024\"]\n  17 [size=\"36186112\", alpha=\"0.01\", expect_size=\"18093056\"] \n  17 -> 32 [size =\"18093056\"]\n  17 -> 33 [size =\"18093056\"]\n  17 -> 37 [size =\"18093056\"]\n  17 -> 40 [size =\"18093056\"]\n  18 [size=\"54726656\", alpha=\"0.15\", expect_size=\"27363328\"] \n  18 -> 32 [size =\"27363328\"]\n  18 -> 37 [size =\"27363328\"]\n  18 -> 39 [size =\"27363328\"]\n  18 -> 40 [size =\"27363328\"]\n  18 -> 43 [size =\"27363328\"]\n  19 [size=\"34080768\", alpha=\"0.13\", expect_size=\"17040384\"] \n  19 -> 34 [size =\"17040384\"]\n  19 -> 40 [size =\"17040384\"]\n  19 -> 43 [size =\"17040384\"]\n  20 [size=\"27609088\", alpha=\"0.20\", expect_size=\"13804544\"] \n  20 -> 33 [size =\"13804544\"]\n  20 -> 37 [size =\"13804544\"]\n  20 -> 39 [size =\"13804544\"]\n  20 -> 43 [size =\"13804544\"]\n  21 [size=\"83331072\", alpha=\"0.14\", expect_size=\"41665536\"] \n  21 -> 30 [size =\"41665536\"]\n  21 -> 34 [size =\"41665536\"]\n  21 -> 36 [size =\"41665536\"]\n  21 -> 39 [size =\"41665536\"]\n  21 -> 43 [size =\"41665536\"]\n  22 [size=\"72366080\", alpha=\"0.02\", expect_size=\"36183040\"] \n  22 -> 30 [size =\"36183040\"]\n  22 -> 32 [size =\"36183040\"]\n  22 -> 35 [size =\"36183040\"]\n  22 -> 42 [size =\"36183040\"]\n  22 -> 43 [size =\"36183040\"]\n  23 [size=\"11843584\", alpha=\"0.09\", expect_size=\"5921792\"] \n  23 -> 32 [size =\"5921792\"]\n  23 -> 33 [size =\"5921792\"]\n  23 -> 35 [size =\"5921792\"]\n  23 -> 36 [size =\"5921792\"]\n  23 -> 37 [size =\"5921792\"]\n  23 -> 39 [size =\"5921792\"]\n  23 -> 41 [size =\"5921792\"]\n  23 -> 42 [size =\"5921792\"]\n  23 -> 43 [size =\"5921792\"]\n  24 [size=\"21000192\", alpha=\"0.07\", expect_size=\"10500096\"] \n  24 -> 29 [size =\"10500096\"]\n  24 -> 32 [size =\"10500096\"]\n  24 -> 35 [size =\"10500096\"]\n  24 -> 36 [size =\"10500096\"]\n  24 -> 37 [size =\"10500096\"]\n  24 -> 38 [size =\"10500096\"]\n  24 -> 41 [size =\"10500096\"]\n  24 -> 43 [size =\"10500096\"]\n  24 -> 43 [size =\"10500096\"]\n  25 [size=\"95926272\", alpha=\"0.13\", expect_size=\"47963136\"] \n  25 -> 30 [size =\"47963136\"]\n  25 -> 35 [size =\"47963136\"]\n  25 -> 36 [size =\"47963136\"]\n  25 -> 39 [size =\"47963136\"]\n  25 -> 41 [size =\"47963136\"]\n  25 -> 42 [size =\"47963136\"]\n  25 -> 43 [size =\"47963136\"]\n  26 [size=\"19957760\", alpha=\"0.01\", expect_size=\"9978880\"] \n  26 -> 31 [size =\"9978880\"]\n  26 -> 35 [size =\"9978880\"]\n  26 -> 37 [size =\"9978880\"]\n  26 -> 38 [size =\"9978880\"]\n  26 -> 41 [size =\"9978880\"]\n  26 -> 42 [size =\"9978880\"]\n  27 [size=\"67504128\", alpha=\"0.08\", expect_size=\"33752064\"] \n  27 -> 30 [size =\"33752064\"]\n  27 -> 32 [size =\"33752064\"]\n  27 -> 35 [size =\"33752064\"]\n  27 -> 36 [size =\"33752064\"]\n  28 [size=\"72067072\", alpha=\"0.10\", expect_size=\"36033536\"] \n  28 -> 30 [size =\"36033536\"]\n  28 -> 36 [size =\"36033536\"]\n  28 -> 42 [size =\"36033536\"]\n  29 [size=\"48103424\", alpha=\"0.07\", expect_size=\"24051712\"] \n  30 [size=\"13148160\", alpha=\"0.12\", expect_size=\"6574080\"] \n  31 [size=\"11241472\", alpha=\"0.03\", expect_size=\"5620736\"] \n  31 -> 44 [size =\"5620736\"]\n  32 [size=\"78936064\", alpha=\"0.07\", expect_size=\"39468032\"] \n  33 [size=\"87900160\", alpha=\"0.09\", expect_size=\"43950080\"] \n  34 [size=\"37666816\", alpha=\"0.02\", expect_size=\"18833408\"] \n  34 -> 44 [size =\"18833408\"]\n  35 [size=\"71520256\", alpha=\"0.02\", expect_size=\"35760128\"] \n  36 [size=\"37056512\", alpha=\"0.16\", expect_size=\"18528256\"] \n  37 [size=\"43587584\", alpha=\"0.15\", expect_size=\"21793792\"] \n  37 -> 44 [size =\"21793792\"]\n  38 [size=\"83521536\", alpha=\"0.03\", expect_size=\"41760768\"] \n  38 -> 44 [size =\"41760768\"]\n  38 -> 45 [size =\"41760768\"]\n  39 [size=\"37488640\", alpha=\"0.17\", expect_size=\"18744320\"] \n  40 [size=\"70711296\", alpha=\"0.14\", expect_size=\"35355648\"] \n  41 [size=\"32411648\", alpha=\"0.07\", expect_size=\"16205824\"] \n  41 -> 44 [size =\"16205824\"]\n  42 [size=\"45447168\", alpha=\"0.13\", expect_size=\"22723584\"] \n  43 [size=\"78247936\", alpha=\"0.19\", expect_size=\"39123968\"] \n  43 -> 44 [size =\"39123968\"]\n  44 [size=\"27451392\", alpha=\"0.07\", expect_size=\"13725696\"] \n  45 [size=\"35794944\", alpha=\"0.13\", expect_size=\"17897472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75954176\", alpha=\"0.19\", expect_size=\"37977088\"] \n  1 -> 15 [size =\"37977088\"]\n  1 -> 18 [size =\"37977088\"]\n  1 -> 26 [size =\"37977088\"]\n  2 [size=\"13350912\", alpha=\"0.20\", expect_size=\"6675456\"] \n  2 -> 16 [size =\"6675456\"]\n  2 -> 17 [size =\"6675456\"]\n  2 -> 18 [size =\"6675456\"]\n  2 -> 27 [size =\"6675456\"]\n  3 [size=\"60465152\", alpha=\"0.06\", expect_size=\"30232576\"] \n  3 -> 16 [size =\"30232576\"]\n  3 -> 17 [size =\"30232576\"]\n  3 -> 20 [size =\"30232576\"]\n  3 -> 25 [size =\"30232576\"]\n  3 -> 26 [size =\"30232576\"]\n  4 [size=\"74737664\", alpha=\"0.15\", expect_size=\"37368832\"] \n  4 -> 14 [size =\"37368832\"]\n  4 -> 17 [size =\"37368832\"]\n  4 -> 20 [size =\"37368832\"]\n  4 -> 21 [size =\"37368832\"]\n  4 -> 24 [size =\"37368832\"]\n  4 -> 26 [size =\"37368832\"]\n  5 [size=\"99045376\", alpha=\"0.17\", expect_size=\"49522688\"] \n  5 -> 20 [size =\"49522688\"]\n  5 -> 21 [size =\"49522688\"]\n  5 -> 22 [size =\"49522688\"]\n  6 [size=\"25001984\", alpha=\"0.00\", expect_size=\"12500992\"] \n  6 -> 14 [size =\"12500992\"]\n  6 -> 15 [size =\"12500992\"]\n  6 -> 21 [size =\"12500992\"]\n  6 -> 22 [size =\"12500992\"]\n  6 -> 26 [size =\"12500992\"]\n  7 [size=\"61415424\", alpha=\"0.18\", expect_size=\"30707712\"] \n  7 -> 21 [size =\"30707712\"]\n  7 -> 22 [size =\"30707712\"]\n  8 [size=\"75280384\", alpha=\"0.18\", expect_size=\"37640192\"] \n  8 -> 17 [size =\"37640192\"]\n  8 -> 20 [size =\"37640192\"]\n  8 -> 21 [size =\"37640192\"]\n  8 -> 22 [size =\"37640192\"]\n  8 -> 25 [size =\"37640192\"]\n  8 -> 26 [size =\"37640192\"]\n  8 -> 27 [size =\"37640192\"]\n  9 [size=\"61825024\", alpha=\"0.16\", expect_size=\"30912512\"] \n  9 -> 15 [size =\"30912512\"]\n  9 -> 21 [size =\"30912512\"]\n  9 -> 21 [size =\"30912512\"]\n  9 -> 23 [size =\"30912512\"]\n  9 -> 26 [size =\"30912512\"]\n  9 -> 27 [size =\"30912512\"]\n  10 [size=\"83429376\", alpha=\"0.17\", expect_size=\"41714688\"] \n  10 -> 15 [size =\"41714688\"]\n  10 -> 19 [size =\"41714688\"]\n  10 -> 20 [size =\"41714688\"]\n  10 -> 21 [size =\"41714688\"]\n  10 -> 26 [size =\"41714688\"]\n  10 -> 27 [size =\"41714688\"]\n  11 [size=\"23263232\", alpha=\"0.06\", expect_size=\"11631616\"] \n  11 -> 20 [size =\"11631616\"]\n  11 -> 22 [size =\"11631616\"]\n  11 -> 27 [size =\"11631616\"]\n  12 [size=\"18509824\", alpha=\"0.14\", expect_size=\"9254912\"] \n  12 -> 14 [size =\"9254912\"]\n  12 -> 20 [size =\"9254912\"]\n  12 -> 24 [size =\"9254912\"]\n  12 -> 25 [size =\"9254912\"]\n  12 -> 26 [size =\"9254912\"]\n  13 [size=\"18178048\", alpha=\"0.09\", expect_size=\"9089024\"] \n  13 -> 15 [size =\"9089024\"]\n  13 -> 20 [size =\"9089024\"]\n  13 -> 26 [size =\"9089024\"]\n  14 [size=\"47951872\", alpha=\"0.02\", expect_size=\"23975936\"] \n  14 -> 28 [size =\"23975936\"]\n  14 -> 30 [size =\"23975936\"]\n  14 -> 33 [size =\"23975936\"]\n  14 -> 35 [size =\"23975936\"]\n  14 -> 37 [size =\"23975936\"]\n  14 -> 39 [size =\"23975936\"]\n  15 [size=\"25051136\", alpha=\"0.06\", expect_size=\"12525568\"] \n  15 -> 28 [size =\"12525568\"]\n  15 -> 30 [size =\"12525568\"]\n  15 -> 31 [size =\"12525568\"]\n  15 -> 33 [size =\"12525568\"]\n  15 -> 35 [size =\"12525568\"]\n  15 -> 36 [size =\"12525568\"]\n  15 -> 37 [size =\"12525568\"]\n  15 -> 39 [size =\"12525568\"]\n  16 [size=\"12871680\", alpha=\"0.17\", expect_size=\"6435840\"] \n  16 -> 28 [size =\"6435840\"]\n  16 -> 29 [size =\"6435840\"]\n  16 -> 30 [size =\"6435840\"]\n  16 -> 32 [size =\"6435840\"]\n  16 -> 37 [size =\"6435840\"]\n  16 -> 39 [size =\"6435840\"]\n  17 [size=\"14583808\", alpha=\"0.10\", expect_size=\"7291904\"] \n  17 -> 28 [size =\"7291904\"]\n  17 -> 30 [size =\"7291904\"]\n  17 -> 39 [size =\"7291904\"]\n  18 [size=\"98795520\", alpha=\"0.17\", expect_size=\"49397760\"] \n  18 -> 30 [size =\"49397760\"]\n  18 -> 30 [size =\"49397760\"]\n  18 -> 39 [size =\"49397760\"]\n  19 [size=\"87111680\", alpha=\"0.14\", expect_size=\"43555840\"] \n  19 -> 28 [size =\"43555840\"]\n  19 -> 35 [size =\"43555840\"]\n  19 -> 37 [size =\"43555840\"]\n  19 -> 39 [size =\"43555840\"]\n  20 [size=\"67250176\", alpha=\"0.05\", expect_size=\"33625088\"] \n  20 -> 31 [size =\"33625088\"]\n  20 -> 32 [size =\"33625088\"]\n  20 -> 33 [size =\"33625088\"]\n  20 -> 35 [size =\"33625088\"]\n  21 [size=\"53891072\", alpha=\"0.10\", expect_size=\"26945536\"] \n  21 -> 28 [size =\"26945536\"]\n  21 -> 33 [size =\"26945536\"]\n  21 -> 39 [size =\"26945536\"]\n  22 [size=\"83787776\", alpha=\"0.15\", expect_size=\"41893888\"] \n  22 -> 28 [size =\"41893888\"]\n  22 -> 33 [size =\"41893888\"]\n  22 -> 35 [size =\"41893888\"]\n  23 [size=\"56539136\", alpha=\"0.11\", expect_size=\"28269568\"] \n  23 -> 30 [size =\"28269568\"]\n  23 -> 31 [size =\"28269568\"]\n  23 -> 32 [size =\"28269568\"]\n  23 -> 33 [size =\"28269568\"]\n  23 -> 37 [size =\"28269568\"]\n  24 [size=\"97996800\", alpha=\"0.01\", expect_size=\"48998400\"] \n  24 -> 30 [size =\"48998400\"]\n  24 -> 33 [size =\"48998400\"]\n  24 -> 35 [size =\"48998400\"]\n  24 -> 38 [size =\"48998400\"]\n  25 [size=\"14589952\", alpha=\"0.10\", expect_size=\"7294976\"] \n  25 -> 28 [size =\"7294976\"]\n  25 -> 30 [size =\"7294976\"]\n  25 -> 33 [size =\"7294976\"]\n  25 -> 34 [size =\"7294976\"]\n  25 -> 39 [size =\"7294976\"]\n  26 [size=\"44453888\", alpha=\"0.01\", expect_size=\"22226944\"] \n  26 -> 28 [size =\"22226944\"]\n  26 -> 29 [size =\"22226944\"]\n  26 -> 30 [size =\"22226944\"]\n  26 -> 33 [size =\"22226944\"]\n  26 -> 35 [size =\"22226944\"]\n  26 -> 37 [size =\"22226944\"]\n  26 -> 39 [size =\"22226944\"]\n  27 [size=\"30345216\", alpha=\"0.03\", expect_size=\"15172608\"] \n  27 -> 33 [size =\"15172608\"]\n  27 -> 39 [size =\"15172608\"]\n  28 [size=\"79282176\", alpha=\"0.20\", expect_size=\"39641088\"] \n  28 -> 40 [size =\"39641088\"]\n  28 -> 41 [size =\"39641088\"]\n  29 [size=\"65900544\", alpha=\"0.06\", expect_size=\"32950272\"] \n  29 -> 44 [size =\"32950272\"]\n  30 [size=\"37484544\", alpha=\"0.09\", expect_size=\"18742272\"] \n  30 -> 41 [size =\"18742272\"]\n  30 -> 42 [size =\"18742272\"]\n  30 -> 43 [size =\"18742272\"]\n  30 -> 44 [size =\"18742272\"]\n  31 [size=\"60993536\", alpha=\"0.14\", expect_size=\"30496768\"] \n  31 -> 41 [size =\"30496768\"]\n  32 [size=\"13154304\", alpha=\"0.01\", expect_size=\"6577152\"] \n  32 -> 40 [size =\"6577152\"]\n  32 -> 41 [size =\"6577152\"]\n  32 -> 42 [size =\"6577152\"]\n  32 -> 43 [size =\"6577152\"]\n  33 [size=\"85577728\", alpha=\"0.09\", expect_size=\"42788864\"] \n  33 -> 40 [size =\"42788864\"]\n  33 -> 41 [size =\"42788864\"]\n  33 -> 42 [size =\"42788864\"]\n  33 -> 44 [size =\"42788864\"]\n  33 -> 45 [size =\"42788864\"]\n  34 [size=\"45127680\", alpha=\"0.06\", expect_size=\"22563840\"] \n  34 -> 41 [size =\"22563840\"]\n  34 -> 42 [size =\"22563840\"]\n  34 -> 45 [size =\"22563840\"]\n  35 [size=\"50427904\", alpha=\"0.05\", expect_size=\"25213952\"] \n  35 -> 40 [size =\"25213952\"]\n  35 -> 43 [size =\"25213952\"]\n  36 [size=\"95670272\", alpha=\"0.05\", expect_size=\"47835136\"] \n  36 -> 42 [size =\"47835136\"]\n  36 -> 45 [size =\"47835136\"]\n  37 [size=\"100997120\", alpha=\"0.06\", expect_size=\"50498560\"] \n  37 -> 40 [size =\"50498560\"]\n  37 -> 41 [size =\"50498560\"]\n  37 -> 45 [size =\"50498560\"]\n  38 [size=\"22970368\", alpha=\"0.06\", expect_size=\"11485184\"] \n  38 -> 40 [size =\"11485184\"]\n  38 -> 41 [size =\"11485184\"]\n  38 -> 45 [size =\"11485184\"]\n  39 [size=\"20754432\", alpha=\"0.01\", expect_size=\"10377216\"] \n  39 -> 40 [size =\"10377216\"]\n  39 -> 45 [size =\"10377216\"]\n  40 [size=\"51320832\", alpha=\"0.09\", expect_size=\"25660416\"] \n  41 [size=\"93241344\", alpha=\"0.06\", expect_size=\"46620672\"] \n  42 [size=\"64921600\", alpha=\"0.19\", expect_size=\"32460800\"] \n  43 [size=\"68761600\", alpha=\"0.01\", expect_size=\"34380800\"] \n  44 [size=\"18077696\", alpha=\"0.02\", expect_size=\"9038848\"] \n  45 [size=\"44709888\", alpha=\"0.04\", expect_size=\"22354944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57137152\", alpha=\"0.18\", expect_size=\"28568576\"] \n  1 -> 30 [size =\"28568576\"]\n  1 -> 31 [size =\"28568576\"]\n  1 -> 33 [size =\"28568576\"]\n  1 -> 35 [size =\"28568576\"]\n  1 -> 37 [size =\"28568576\"]\n  2 [size=\"25753600\", alpha=\"0.20\", expect_size=\"12876800\"] \n  2 -> 31 [size =\"12876800\"]\n  2 -> 31 [size =\"12876800\"]\n  2 -> 33 [size =\"12876800\"]\n  2 -> 41 [size =\"12876800\"]\n  2 -> 43 [size =\"12876800\"]\n  3 [size=\"72216576\", alpha=\"0.01\", expect_size=\"36108288\"] \n  3 -> 30 [size =\"36108288\"]\n  3 -> 32 [size =\"36108288\"]\n  3 -> 33 [size =\"36108288\"]\n  3 -> 37 [size =\"36108288\"]\n  3 -> 39 [size =\"36108288\"]\n  4 [size=\"67506176\", alpha=\"0.03\", expect_size=\"33753088\"] \n  4 -> 39 [size =\"33753088\"]\n  5 [size=\"72777728\", alpha=\"0.14\", expect_size=\"36388864\"] \n  6 [size=\"32923648\", alpha=\"0.13\", expect_size=\"16461824\"] \n  6 -> 30 [size =\"16461824\"]\n  6 -> 31 [size =\"16461824\"]\n  6 -> 32 [size =\"16461824\"]\n  6 -> 36 [size =\"16461824\"]\n  6 -> 42 [size =\"16461824\"]\n  7 [size=\"20228096\", alpha=\"0.08\", expect_size=\"10114048\"] \n  7 -> 32 [size =\"10114048\"]\n  7 -> 33 [size =\"10114048\"]\n  7 -> 39 [size =\"10114048\"]\n  7 -> 40 [size =\"10114048\"]\n  8 [size=\"41029632\", alpha=\"0.04\", expect_size=\"20514816\"] \n  8 -> 31 [size =\"20514816\"]\n  8 -> 32 [size =\"20514816\"]\n  8 -> 33 [size =\"20514816\"]\n  9 [size=\"32550912\", alpha=\"0.09\", expect_size=\"16275456\"] \n  9 -> 30 [size =\"16275456\"]\n  9 -> 31 [size =\"16275456\"]\n  9 -> 32 [size =\"16275456\"]\n  9 -> 33 [size =\"16275456\"]\n  9 -> 39 [size =\"16275456\"]\n  9 -> 40 [size =\"16275456\"]\n  9 -> 43 [size =\"16275456\"]\n  10 [size=\"103118848\", alpha=\"0.09\", expect_size=\"51559424\"] \n  10 -> 29 [size =\"51559424\"]\n  10 -> 36 [size =\"51559424\"]\n  10 -> 42 [size =\"51559424\"]\n  11 [size=\"24424448\", alpha=\"0.10\", expect_size=\"12212224\"] \n  11 -> 29 [size =\"12212224\"]\n  11 -> 34 [size =\"12212224\"]\n  11 -> 40 [size =\"12212224\"]\n  12 [size=\"14063616\", alpha=\"0.02\", expect_size=\"7031808\"] \n  12 -> 31 [size =\"7031808\"]\n  12 -> 34 [size =\"7031808\"]\n  12 -> 36 [size =\"7031808\"]\n  12 -> 37 [size =\"7031808\"]\n  12 -> 40 [size =\"7031808\"]\n  13 [size=\"13471744\", alpha=\"0.03\", expect_size=\"6735872\"] \n  13 -> 31 [size =\"6735872\"]\n  13 -> 34 [size =\"6735872\"]\n  13 -> 36 [size =\"6735872\"]\n  14 [size=\"17027072\", alpha=\"0.08\", expect_size=\"8513536\"] \n  14 -> 34 [size =\"8513536\"]\n  14 -> 39 [size =\"8513536\"]\n  14 -> 43 [size =\"8513536\"]\n  15 [size=\"30525440\", alpha=\"0.14\", expect_size=\"15262720\"] \n  15 -> 36 [size =\"15262720\"]\n  15 -> 37 [size =\"15262720\"]\n  15 -> 42 [size =\"15262720\"]\n  16 [size=\"97366016\", alpha=\"0.03\", expect_size=\"48683008\"] \n  16 -> 30 [size =\"48683008\"]\n  16 -> 32 [size =\"48683008\"]\n  17 [size=\"64718848\", alpha=\"0.01\", expect_size=\"32359424\"] \n  17 -> 29 [size =\"32359424\"]\n  17 -> 31 [size =\"32359424\"]\n  17 -> 32 [size =\"32359424\"]\n  17 -> 36 [size =\"32359424\"]\n  17 -> 40 [size =\"32359424\"]\n  18 [size=\"100638720\", alpha=\"0.14\", expect_size=\"50319360\"] \n  18 -> 30 [size =\"50319360\"]\n  18 -> 32 [size =\"50319360\"]\n  18 -> 36 [size =\"50319360\"]\n  18 -> 36 [size =\"50319360\"]\n  18 -> 40 [size =\"50319360\"]\n  19 [size=\"27359232\", alpha=\"0.07\", expect_size=\"13679616\"] \n  19 -> 40 [size =\"13679616\"]\n  19 -> 42 [size =\"13679616\"]\n  20 [size=\"67522560\", alpha=\"0.10\", expect_size=\"33761280\"] \n  20 -> 35 [size =\"33761280\"]\n  20 -> 39 [size =\"33761280\"]\n  20 -> 40 [size =\"33761280\"]\n  21 [size=\"15880192\", alpha=\"0.02\", expect_size=\"7940096\"] \n  21 -> 32 [size =\"7940096\"]\n  21 -> 33 [size =\"7940096\"]\n  21 -> 34 [size =\"7940096\"]\n  21 -> 37 [size =\"7940096\"]\n  21 -> 40 [size =\"7940096\"]\n  21 -> 43 [size =\"7940096\"]\n  22 [size=\"63488000\", alpha=\"0.18\", expect_size=\"31744000\"] \n  22 -> 30 [size =\"31744000\"]\n  22 -> 35 [size =\"31744000\"]\n  22 -> 38 [size =\"31744000\"]\n  22 -> 40 [size =\"31744000\"]\n  22 -> 40 [size =\"31744000\"]\n  22 -> 42 [size =\"31744000\"]\n  23 [size=\"74141696\", alpha=\"0.07\", expect_size=\"37070848\"] \n  23 -> 36 [size =\"37070848\"]\n  23 -> 37 [size =\"37070848\"]\n  24 [size=\"88035328\", alpha=\"0.08\", expect_size=\"44017664\"] \n  24 -> 30 [size =\"44017664\"]\n  24 -> 42 [size =\"44017664\"]\n  25 [size=\"32808960\", alpha=\"0.02\", expect_size=\"16404480\"] \n  25 -> 29 [size =\"16404480\"]\n  25 -> 30 [size =\"16404480\"]\n  25 -> 36 [size =\"16404480\"]\n  26 [size=\"98545664\", alpha=\"0.01\", expect_size=\"49272832\"] \n  26 -> 30 [size =\"49272832\"]\n  26 -> 31 [size =\"49272832\"]\n  26 -> 32 [size =\"49272832\"]\n  26 -> 38 [size =\"49272832\"]\n  26 -> 40 [size =\"49272832\"]\n  26 -> 41 [size =\"49272832\"]\n  26 -> 43 [size =\"49272832\"]\n  27 [size=\"18384896\", alpha=\"0.02\", expect_size=\"9192448\"] \n  27 -> 30 [size =\"9192448\"]\n  27 -> 31 [size =\"9192448\"]\n  27 -> 32 [size =\"9192448\"]\n  27 -> 34 [size =\"9192448\"]\n  27 -> 37 [size =\"9192448\"]\n  27 -> 40 [size =\"9192448\"]\n  27 -> 43 [size =\"9192448\"]\n  28 [size=\"24821760\", alpha=\"0.09\", expect_size=\"12410880\"] \n  28 -> 30 [size =\"12410880\"]\n  28 -> 31 [size =\"12410880\"]\n  28 -> 33 [size =\"12410880\"]\n  28 -> 34 [size =\"12410880\"]\n  28 -> 36 [size =\"12410880\"]\n  29 [size=\"89063424\", alpha=\"0.01\", expect_size=\"44531712\"] \n  30 [size=\"29722624\", alpha=\"0.13\", expect_size=\"14861312\"] \n  31 [size=\"76941312\", alpha=\"0.07\", expect_size=\"38470656\"] \n  32 [size=\"88625152\", alpha=\"0.03\", expect_size=\"44312576\"] \n  32 -> 44 [size =\"44312576\"]\n  33 [size=\"80048128\", alpha=\"0.19\", expect_size=\"40024064\"] \n  33 -> 44 [size =\"40024064\"]\n  34 [size=\"18565120\", alpha=\"0.16\", expect_size=\"9282560\"] \n  34 -> 44 [size =\"9282560\"]\n  34 -> 45 [size =\"9282560\"]\n  35 [size=\"55570432\", alpha=\"0.18\", expect_size=\"27785216\"] \n  35 -> 44 [size =\"27785216\"]\n  36 [size=\"64616448\", alpha=\"0.18\", expect_size=\"32308224\"] \n  36 -> 44 [size =\"32308224\"]\n  37 [size=\"68139008\", alpha=\"0.09\", expect_size=\"34069504\"] \n  37 -> 44 [size =\"34069504\"]\n  38 [size=\"75882496\", alpha=\"0.00\", expect_size=\"37941248\"] \n  39 [size=\"24020992\", alpha=\"0.14\", expect_size=\"12010496\"] \n  39 -> 44 [size =\"12010496\"]\n  40 [size=\"28993536\", alpha=\"0.01\", expect_size=\"14496768\"] \n  41 [size=\"89057280\", alpha=\"0.08\", expect_size=\"44528640\"] \n  42 [size=\"29413376\", alpha=\"0.07\", expect_size=\"14706688\"] \n  43 [size=\"42385408\", alpha=\"0.19\", expect_size=\"21192704\"] \n  43 -> 44 [size =\"21192704\"]\n  44 [size=\"36583424\", alpha=\"0.08\", expect_size=\"18291712\"] \n  45 [size=\"18556928\", alpha=\"0.01\", expect_size=\"9278464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36270080\", alpha=\"0.18\", expect_size=\"18135040\"] \n  1 -> 35 [size =\"18135040\"]\n  1 -> 35 [size =\"18135040\"]\n  1 -> 36 [size =\"18135040\"]\n  1 -> 39 [size =\"18135040\"]\n  1 -> 41 [size =\"18135040\"]\n  2 [size=\"42014720\", alpha=\"0.04\", expect_size=\"21007360\"] \n  2 -> 34 [size =\"21007360\"]\n  2 -> 37 [size =\"21007360\"]\n  2 -> 38 [size =\"21007360\"]\n  2 -> 42 [size =\"21007360\"]\n  2 -> 43 [size =\"21007360\"]\n  3 [size=\"20627456\", alpha=\"0.01\", expect_size=\"10313728\"] \n  3 -> 34 [size =\"10313728\"]\n  3 -> 38 [size =\"10313728\"]\n  3 -> 42 [size =\"10313728\"]\n  4 [size=\"92106752\", alpha=\"0.08\", expect_size=\"46053376\"] \n  4 -> 35 [size =\"46053376\"]\n  4 -> 38 [size =\"46053376\"]\n  4 -> 39 [size =\"46053376\"]\n  4 -> 40 [size =\"46053376\"]\n  4 -> 45 [size =\"46053376\"]\n  5 [size=\"69980160\", alpha=\"0.03\", expect_size=\"34990080\"] \n  5 -> 34 [size =\"34990080\"]\n  5 -> 37 [size =\"34990080\"]\n  5 -> 40 [size =\"34990080\"]\n  5 -> 43 [size =\"34990080\"]\n  6 [size=\"33320960\", alpha=\"0.06\", expect_size=\"16660480\"] \n  6 -> 37 [size =\"16660480\"]\n  6 -> 37 [size =\"16660480\"]\n  6 -> 38 [size =\"16660480\"]\n  6 -> 45 [size =\"16660480\"]\n  7 [size=\"86462464\", alpha=\"0.07\", expect_size=\"43231232\"] \n  7 -> 33 [size =\"43231232\"]\n  7 -> 37 [size =\"43231232\"]\n  7 -> 41 [size =\"43231232\"]\n  7 -> 43 [size =\"43231232\"]\n  8 [size=\"69988352\", alpha=\"0.12\", expect_size=\"34994176\"] \n  8 -> 34 [size =\"34994176\"]\n  8 -> 37 [size =\"34994176\"]\n  8 -> 40 [size =\"34994176\"]\n  8 -> 41 [size =\"34994176\"]\n  8 -> 42 [size =\"34994176\"]\n  8 -> 44 [size =\"34994176\"]\n  9 [size=\"72050688\", alpha=\"0.18\", expect_size=\"36025344\"] \n  9 -> 33 [size =\"36025344\"]\n  9 -> 34 [size =\"36025344\"]\n  9 -> 36 [size =\"36025344\"]\n  9 -> 37 [size =\"36025344\"]\n  9 -> 41 [size =\"36025344\"]\n  10 [size=\"16574464\", alpha=\"0.11\", expect_size=\"8287232\"] \n  10 -> 33 [size =\"8287232\"]\n  10 -> 35 [size =\"8287232\"]\n  10 -> 37 [size =\"8287232\"]\n  10 -> 37 [size =\"8287232\"]\n  10 -> 41 [size =\"8287232\"]\n  10 -> 44 [size =\"8287232\"]\n  11 [size=\"97323008\", alpha=\"0.14\", expect_size=\"48661504\"] \n  11 -> 33 [size =\"48661504\"]\n  11 -> 35 [size =\"48661504\"]\n  11 -> 37 [size =\"48661504\"]\n  11 -> 38 [size =\"48661504\"]\n  11 -> 39 [size =\"48661504\"]\n  11 -> 43 [size =\"48661504\"]\n  11 -> 44 [size =\"48661504\"]\n  12 [size=\"90005504\", alpha=\"0.11\", expect_size=\"45002752\"] \n  12 -> 33 [size =\"45002752\"]\n  12 -> 34 [size =\"45002752\"]\n  12 -> 35 [size =\"45002752\"]\n  12 -> 38 [size =\"45002752\"]\n  13 [size=\"14667776\", alpha=\"0.18\", expect_size=\"7333888\"] \n  13 -> 33 [size =\"7333888\"]\n  13 -> 34 [size =\"7333888\"]\n  13 -> 35 [size =\"7333888\"]\n  13 -> 38 [size =\"7333888\"]\n  13 -> 43 [size =\"7333888\"]\n  13 -> 44 [size =\"7333888\"]\n  14 [size=\"20049920\", alpha=\"0.06\", expect_size=\"10024960\"] \n  14 -> 33 [size =\"10024960\"]\n  14 -> 38 [size =\"10024960\"]\n  14 -> 40 [size =\"10024960\"]\n  14 -> 43 [size =\"10024960\"]\n  15 [size=\"55490560\", alpha=\"0.08\", expect_size=\"27745280\"] \n  15 -> 33 [size =\"27745280\"]\n  15 -> 37 [size =\"27745280\"]\n  15 -> 38 [size =\"27745280\"]\n  15 -> 40 [size =\"27745280\"]\n  15 -> 42 [size =\"27745280\"]\n  15 -> 44 [size =\"27745280\"]\n  16 [size=\"69660672\", alpha=\"0.10\", expect_size=\"34830336\"] \n  16 -> 33 [size =\"34830336\"]\n  16 -> 34 [size =\"34830336\"]\n  16 -> 37 [size =\"34830336\"]\n  16 -> 38 [size =\"34830336\"]\n  16 -> 40 [size =\"34830336\"]\n  16 -> 41 [size =\"34830336\"]\n  16 -> 43 [size =\"34830336\"]\n  16 -> 44 [size =\"34830336\"]\n  17 [size=\"96444416\", alpha=\"0.15\", expect_size=\"48222208\"] \n  17 -> 33 [size =\"48222208\"]\n  17 -> 35 [size =\"48222208\"]\n  17 -> 38 [size =\"48222208\"]\n  17 -> 38 [size =\"48222208\"]\n  17 -> 40 [size =\"48222208\"]\n  17 -> 41 [size =\"48222208\"]\n  17 -> 44 [size =\"48222208\"]\n  18 [size=\"33247232\", alpha=\"0.10\", expect_size=\"16623616\"] \n  18 -> 33 [size =\"16623616\"]\n  18 -> 34 [size =\"16623616\"]\n  18 -> 38 [size =\"16623616\"]\n  18 -> 39 [size =\"16623616\"]\n  18 -> 40 [size =\"16623616\"]\n  18 -> 41 [size =\"16623616\"]\n  18 -> 43 [size =\"16623616\"]\n  19 [size=\"87928832\", alpha=\"0.03\", expect_size=\"43964416\"] \n  19 -> 33 [size =\"43964416\"]\n  19 -> 36 [size =\"43964416\"]\n  19 -> 38 [size =\"43964416\"]\n  19 -> 40 [size =\"43964416\"]\n  19 -> 40 [size =\"43964416\"]\n  20 [size=\"77092864\", alpha=\"0.07\", expect_size=\"38546432\"] \n  20 -> 33 [size =\"38546432\"]\n  20 -> 39 [size =\"38546432\"]\n  20 -> 40 [size =\"38546432\"]\n  20 -> 43 [size =\"38546432\"]\n  21 [size=\"33878016\", alpha=\"0.17\", expect_size=\"16939008\"] \n  21 -> 33 [size =\"16939008\"]\n  21 -> 34 [size =\"16939008\"]\n  21 -> 35 [size =\"16939008\"]\n  21 -> 41 [size =\"16939008\"]\n  21 -> 42 [size =\"16939008\"]\n  21 -> 45 [size =\"16939008\"]\n  22 [size=\"97900544\", alpha=\"0.14\", expect_size=\"48950272\"] \n  22 -> 33 [size =\"48950272\"]\n  22 -> 34 [size =\"48950272\"]\n  22 -> 35 [size =\"48950272\"]\n  22 -> 37 [size =\"48950272\"]\n  22 -> 40 [size =\"48950272\"]\n  22 -> 43 [size =\"48950272\"]\n  23 [size=\"56780800\", alpha=\"0.13\", expect_size=\"28390400\"] \n  23 -> 35 [size =\"28390400\"]\n  23 -> 40 [size =\"28390400\"]\n  24 [size=\"46413824\", alpha=\"0.09\", expect_size=\"23206912\"] \n  24 -> 34 [size =\"23206912\"]\n  24 -> 38 [size =\"23206912\"]\n  24 -> 40 [size =\"23206912\"]\n  24 -> 42 [size =\"23206912\"]\n  24 -> 43 [size =\"23206912\"]\n  24 -> 44 [size =\"23206912\"]\n  25 [size=\"74706944\", alpha=\"0.17\", expect_size=\"37353472\"] \n  25 -> 34 [size =\"37353472\"]\n  25 -> 43 [size =\"37353472\"]\n  25 -> 44 [size =\"37353472\"]\n  26 [size=\"16435200\", alpha=\"0.11\", expect_size=\"8217600\"] \n  26 -> 41 [size =\"8217600\"]\n  26 -> 44 [size =\"8217600\"]\n  27 [size=\"64643072\", alpha=\"0.00\", expect_size=\"32321536\"] \n  27 -> 34 [size =\"32321536\"]\n  27 -> 37 [size =\"32321536\"]\n  27 -> 40 [size =\"32321536\"]\n  27 -> 42 [size =\"32321536\"]\n  27 -> 43 [size =\"32321536\"]\n  27 -> 45 [size =\"32321536\"]\n  28 [size=\"38928384\", alpha=\"0.03\", expect_size=\"19464192\"] \n  28 -> 34 [size =\"19464192\"]\n  28 -> 37 [size =\"19464192\"]\n  28 -> 42 [size =\"19464192\"]\n  28 -> 44 [size =\"19464192\"]\n  28 -> 45 [size =\"19464192\"]\n  29 [size=\"87660544\", alpha=\"0.18\", expect_size=\"43830272\"] \n  29 -> 34 [size =\"43830272\"]\n  29 -> 35 [size =\"43830272\"]\n  29 -> 37 [size =\"43830272\"]\n  29 -> 40 [size =\"43830272\"]\n  29 -> 44 [size =\"43830272\"]\n  30 [size=\"101672960\", alpha=\"0.14\", expect_size=\"50836480\"] \n  30 -> 33 [size =\"50836480\"]\n  30 -> 35 [size =\"50836480\"]\n  30 -> 37 [size =\"50836480\"]\n  30 -> 38 [size =\"50836480\"]\n  30 -> 39 [size =\"50836480\"]\n  30 -> 42 [size =\"50836480\"]\n  30 -> 44 [size =\"50836480\"]\n  31 [size=\"42305536\", alpha=\"0.09\", expect_size=\"21152768\"] \n  31 -> 36 [size =\"21152768\"]\n  31 -> 38 [size =\"21152768\"]\n  31 -> 40 [size =\"21152768\"]\n  32 [size=\"29714432\", alpha=\"0.01\", expect_size=\"14857216\"] \n  32 -> 33 [size =\"14857216\"]\n  32 -> 35 [size =\"14857216\"]\n  32 -> 37 [size =\"14857216\"]\n  33 [size=\"95432704\", alpha=\"0.14\", expect_size=\"47716352\"] \n  34 [size=\"60856320\", alpha=\"0.09\", expect_size=\"30428160\"] \n  35 [size=\"101980160\", alpha=\"0.13\", expect_size=\"50990080\"] \n  36 [size=\"89554944\", alpha=\"0.10\", expect_size=\"44777472\"] \n  37 [size=\"46415872\", alpha=\"0.05\", expect_size=\"23207936\"] \n  38 [size=\"48543744\", alpha=\"0.04\", expect_size=\"24271872\"] \n  39 [size=\"61067264\", alpha=\"0.01\", expect_size=\"30533632\"] \n  40 [size=\"51181568\", alpha=\"0.11\", expect_size=\"25590784\"] \n  41 [size=\"24977408\", alpha=\"0.06\", expect_size=\"12488704\"] \n  42 [size=\"69289984\", alpha=\"0.00\", expect_size=\"34644992\"] \n  43 [size=\"74899456\", alpha=\"0.04\", expect_size=\"37449728\"] \n  44 [size=\"45985792\", alpha=\"0.15\", expect_size=\"22992896\"] \n  45 [size=\"86491136\", alpha=\"0.00\", expect_size=\"43245568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122777600\", alpha=\"0.19\", expect_size=\"49111040\"] \n  1 -> 2 [size =\"49111040\"]\n  2 [size=\"52057600\", alpha=\"0.15\", expect_size=\"20823040\"] \n  2 -> 3 [size =\"20823040\"]\n  3 [size=\"90611200\", alpha=\"0.09\", expect_size=\"36244480\"] \n  3 -> 4 [size =\"36244480\"]\n  4 [size=\"58777600\", alpha=\"0.01\", expect_size=\"23511040\"] \n  4 -> 5 [size =\"23511040\"]\n  5 [size=\"92037120\", alpha=\"0.02\", expect_size=\"36814848\"] \n  5 -> 6 [size =\"36814848\"]\n  6 [size=\"124984320\", alpha=\"0.20\", expect_size=\"49993728\"] \n  6 -> 7 [size =\"49993728\"]\n  7 [size=\"57587200\", alpha=\"0.05\", expect_size=\"23034880\"] \n  7 -> 8 [size =\"23034880\"]\n  8 [size=\"58562560\", alpha=\"0.13\", expect_size=\"23425024\"] \n  8 -> 9 [size =\"23425024\"]\n  9 [size=\"22277120\", alpha=\"0.05\", expect_size=\"8910848\"] \n  9 -> 10 [size =\"8910848\"]\n  10 [size=\"116213760\", alpha=\"0.05\", expect_size=\"46485504\"] \n  10 -> 11 [size =\"46485504\"]\n  11 [size=\"21511680\", alpha=\"0.15\", expect_size=\"8604672\"] \n  11 -> 12 [size =\"8604672\"]\n  12 [size=\"14184960\", alpha=\"0.09\", expect_size=\"5673984\"] \n  12 -> 13 [size =\"5673984\"]\n  13 [size=\"99763200\", alpha=\"0.04\", expect_size=\"39905280\"] \n  13 -> 14 [size =\"39905280\"]\n  14 [size=\"35983360\", alpha=\"0.13\", expect_size=\"14393344\"] \n  14 -> 15 [size =\"14393344\"]\n  15 [size=\"41251840\", alpha=\"0.07\", expect_size=\"16500736\"] \n  15 -> 16 [size =\"16500736\"]\n  16 [size=\"54499840\", alpha=\"0.09\", expect_size=\"21799936\"] \n  16 -> 17 [size =\"21799936\"]\n  17 [size=\"53273600\", alpha=\"0.13\", expect_size=\"21309440\"] \n  17 -> 18 [size =\"21309440\"]\n  18 [size=\"80378880\", alpha=\"0.12\", expect_size=\"32151552\"] \n  18 -> 19 [size =\"32151552\"]\n  19 [size=\"37969920\", alpha=\"0.02\", expect_size=\"15187968\"] \n  19 -> 20 [size =\"15187968\"]\n  20 [size=\"67013120\", alpha=\"0.08\", expect_size=\"26805248\"] \n  20 -> 21 [size =\"26805248\"]\n  21 [size=\"95749120\", alpha=\"0.13\", expect_size=\"38299648\"] \n  21 -> 22 [size =\"38299648\"]\n  22 [size=\"65105920\", alpha=\"0.05\", expect_size=\"26042368\"] \n  22 -> 23 [size =\"26042368\"]\n  23 [size=\"120058880\", alpha=\"0.09\", expect_size=\"48023552\"] \n  23 -> 24 [size =\"48023552\"]\n  24 [size=\"28203520\", alpha=\"0.02\", expect_size=\"11281408\"] \n  24 -> 25 [size =\"11281408\"]\n  25 [size=\"102379520\", alpha=\"0.07\", expect_size=\"40951808\"] \n  25 -> 26 [size =\"40951808\"]\n  26 [size=\"24522240\", alpha=\"0.12\", expect_size=\"9808896\"] \n  26 -> 27 [size =\"9808896\"]\n  27 [size=\"78026240\", alpha=\"0.04\", expect_size=\"31210496\"] \n  27 -> 28 [size =\"31210496\"]\n  28 [size=\"38696960\", alpha=\"0.04\", expect_size=\"15478784\"] \n  28 -> 29 [size =\"15478784\"]\n  29 [size=\"111884800\", alpha=\"0.06\", expect_size=\"44753920\"] \n  29 -> 30 [size =\"44753920\"]\n  30 [size=\"123289600\", alpha=\"0.05\", expect_size=\"49315840\"] \n  30 -> 31 [size =\"49315840\"]\n  31 [size=\"53949440\", alpha=\"0.06\", expect_size=\"21579776\"] \n  31 -> 32 [size =\"21579776\"]\n  32 [size=\"13537280\", alpha=\"0.06\", expect_size=\"5414912\"] \n  32 -> 33 [size =\"5414912\"]\n  33 [size=\"41008640\", alpha=\"0.01\", expect_size=\"16403456\"] \n  33 -> 34 [size =\"16403456\"]\n  34 [size=\"95900160\", alpha=\"0.01\", expect_size=\"38360064\"] \n  34 -> 35 [size =\"38360064\"]\n  35 [size=\"105917440\", alpha=\"0.05\", expect_size=\"42366976\"] \n  35 -> 36 [size =\"42366976\"]\n  36 [size=\"32028160\", alpha=\"0.16\", expect_size=\"12811264\"] \n  36 -> 37 [size =\"12811264\"]\n  37 [size=\"104076800\", alpha=\"0.13\", expect_size=\"41630720\"] \n  37 -> 38 [size =\"41630720\"]\n  38 [size=\"130613760\", alpha=\"0.03\", expect_size=\"52245504\"] \n  38 -> 39 [size =\"52245504\"]\n  39 [size=\"39132160\", alpha=\"0.16\", expect_size=\"15652864\"] \n  39 -> 40 [size =\"15652864\"]\n  40 [size=\"74731520\", alpha=\"0.19\", expect_size=\"29892608\"] \n  40 -> 41 [size =\"29892608\"]\n  41 [size=\"104588800\", alpha=\"0.15\", expect_size=\"41835520\"] \n  41 -> 42 [size =\"41835520\"]\n  42 [size=\"19151360\", alpha=\"0.01\", expect_size=\"7660544\"] \n  42 -> 43 [size =\"7660544\"]\n  43 [size=\"55424000\", alpha=\"0.04\", expect_size=\"22169600\"] \n  43 -> 44 [size =\"22169600\"]\n  44 [size=\"64133120\", alpha=\"0.10\", expect_size=\"25653248\"] \n  44 -> 45 [size =\"25653248\"]\n  45 [size=\"68160000\", alpha=\"0.11\", expect_size=\"27264000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77349547\", alpha=\"0.16\", expect_size=\"23204864\"] \n  1 -> 45 [size =\"23204864\"]\n  2 [size=\"139878400\", alpha=\"0.16\", expect_size=\"41963520\"] \n  3 [size=\"52288853\", alpha=\"0.02\", expect_size=\"15686656\"] \n  4 [size=\"47684267\", alpha=\"0.20\", expect_size=\"14305280\"] \n  5 [size=\"114619733\", alpha=\"0.10\", expect_size=\"34385920\"] \n  6 [size=\"139414187\", alpha=\"0.12\", expect_size=\"41824256\"] \n  7 [size=\"89118720\", alpha=\"0.05\", expect_size=\"26735616\"] \n  7 -> 43 [size =\"26735616\"]\n  8 [size=\"77182293\", alpha=\"0.01\", expect_size=\"23154688\"] \n  8 -> 43 [size =\"23154688\"]\n  9 [size=\"108731733\", alpha=\"0.02\", expect_size=\"32619520\"] \n  9 -> 45 [size =\"32619520\"]\n  10 [size=\"127938560\", alpha=\"0.19\", expect_size=\"38381568\"] \n  10 -> 45 [size =\"38381568\"]\n  11 [size=\"78240427\", alpha=\"0.05\", expect_size=\"23472128\"] \n  11 -> 45 [size =\"23472128\"]\n  12 [size=\"45735253\", alpha=\"0.17\", expect_size=\"13720576\"] \n  12 -> 45 [size =\"13720576\"]\n  13 [size=\"170810027\", alpha=\"0.17\", expect_size=\"51243008\"] \n  13 -> 42 [size =\"51243008\"]\n  13 -> 44 [size =\"51243008\"]\n  14 [size=\"26156373\", alpha=\"0.01\", expect_size=\"7846912\"] \n  14 -> 42 [size =\"7846912\"]\n  15 [size=\"23712427\", alpha=\"0.02\", expect_size=\"7113728\"] \n  15 -> 44 [size =\"7113728\"]\n  15 -> 45 [size =\"7113728\"]\n  16 [size=\"105509547\", alpha=\"0.12\", expect_size=\"31652864\"] \n  16 -> 44 [size =\"31652864\"]\n  17 [size=\"45066240\", alpha=\"0.09\", expect_size=\"13519872\"] \n  17 -> 45 [size =\"13519872\"]\n  18 [size=\"83773440\", alpha=\"0.04\", expect_size=\"25132032\"] \n  18 -> 43 [size =\"25132032\"]\n  18 -> 45 [size =\"25132032\"]\n  19 [size=\"91702613\", alpha=\"0.05\", expect_size=\"27510784\"] \n  19 -> 45 [size =\"27510784\"]\n  20 [size=\"105110187\", alpha=\"0.14\", expect_size=\"31533056\"] \n  20 -> 43 [size =\"31533056\"]\n  20 -> 45 [size =\"31533056\"]\n  21 [size=\"99143680\", alpha=\"0.11\", expect_size=\"29743104\"] \n  21 -> 45 [size =\"29743104\"]\n  22 [size=\"137243307\", alpha=\"0.04\", expect_size=\"41172992\"] \n  23 [size=\"114356907\", alpha=\"0.01\", expect_size=\"34307072\"] \n  24 [size=\"91508053\", alpha=\"0.01\", expect_size=\"27452416\"] \n  24 -> 44 [size =\"27452416\"]\n  24 -> 45 [size =\"27452416\"]\n  25 [size=\"102983680\", alpha=\"0.15\", expect_size=\"30895104\"] \n  25 -> 45 [size =\"30895104\"]\n  26 [size=\"115855360\", alpha=\"0.03\", expect_size=\"34756608\"] \n  26 -> 45 [size =\"34756608\"]\n  27 [size=\"53674667\", alpha=\"0.01\", expect_size=\"16102400\"] \n  28 [size=\"122760533\", alpha=\"0.06\", expect_size=\"36828160\"] \n  29 [size=\"153944747\", alpha=\"0.03\", expect_size=\"46183424\"] \n  29 -> 45 [size =\"46183424\"]\n  30 [size=\"33467733\", alpha=\"0.15\", expect_size=\"10040320\"] \n  30 -> 45 [size =\"10040320\"]\n  31 [size=\"144049493\", alpha=\"0.13\", expect_size=\"43214848\"] \n  32 [size=\"73710933\", alpha=\"0.16\", expect_size=\"22113280\"] \n  33 [size=\"102144000\", alpha=\"0.17\", expect_size=\"30643200\"] \n  33 -> 43 [size =\"30643200\"]\n  33 -> 45 [size =\"30643200\"]\n  34 [size=\"106871467\", alpha=\"0.00\", expect_size=\"32061440\"] \n  34 -> 45 [size =\"32061440\"]\n  34 -> 45 [size =\"32061440\"]\n  35 [size=\"118108160\", alpha=\"0.04\", expect_size=\"35432448\"] \n  35 -> 45 [size =\"35432448\"]\n  36 [size=\"75707733\", alpha=\"0.19\", expect_size=\"22712320\"] \n  36 -> 44 [size =\"22712320\"]\n  36 -> 45 [size =\"22712320\"]\n  37 [size=\"101618347\", alpha=\"0.18\", expect_size=\"30485504\"] \n  37 -> 43 [size =\"30485504\"]\n  38 [size=\"110192640\", alpha=\"0.04\", expect_size=\"33057792\"] \n  38 -> 45 [size =\"33057792\"]\n  39 [size=\"161140053\", alpha=\"0.01\", expect_size=\"48342016\"] \n  40 [size=\"31143253\", alpha=\"0.08\", expect_size=\"9342976\"] \n  40 -> 45 [size =\"9342976\"]\n  41 [size=\"145244160\", alpha=\"0.06\", expect_size=\"43573248\"] \n  42 [size=\"92344320\", alpha=\"0.19\", expect_size=\"27703296\"] \n  43 [size=\"57989120\", alpha=\"0.05\", expect_size=\"17396736\"] \n  44 [size=\"38229333\", alpha=\"0.19\", expect_size=\"11468800\"] \n  45 [size=\"41751893\", alpha=\"0.05\", expect_size=\"12525568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94477653\", alpha=\"0.13\", expect_size=\"28343296\"] \n  1 -> 33 [size =\"28343296\"]\n  1 -> 35 [size =\"28343296\"]\n  1 -> 36 [size =\"28343296\"]\n  1 -> 37 [size =\"28343296\"]\n  1 -> 39 [size =\"28343296\"]\n  1 -> 42 [size =\"28343296\"]\n  2 [size=\"52739413\", alpha=\"0.08\", expect_size=\"15821824\"] \n  2 -> 35 [size =\"15821824\"]\n  2 -> 45 [size =\"15821824\"]\n  3 [size=\"70560427\", alpha=\"0.12\", expect_size=\"21168128\"] \n  3 -> 33 [size =\"21168128\"]\n  3 -> 34 [size =\"21168128\"]\n  3 -> 39 [size =\"21168128\"]\n  3 -> 41 [size =\"21168128\"]\n  3 -> 42 [size =\"21168128\"]\n  3 -> 43 [size =\"21168128\"]\n  4 [size=\"99584000\", alpha=\"0.12\", expect_size=\"29875200\"] \n  4 -> 33 [size =\"29875200\"]\n  4 -> 34 [size =\"29875200\"]\n  4 -> 35 [size =\"29875200\"]\n  4 -> 36 [size =\"29875200\"]\n  4 -> 39 [size =\"29875200\"]\n  4 -> 42 [size =\"29875200\"]\n  4 -> 45 [size =\"29875200\"]\n  5 [size=\"34474667\", alpha=\"0.18\", expect_size=\"10342400\"] \n  5 -> 35 [size =\"10342400\"]\n  5 -> 39 [size =\"10342400\"]\n  5 -> 42 [size =\"10342400\"]\n  6 [size=\"145230507\", alpha=\"0.09\", expect_size=\"43569152\"] \n  6 -> 34 [size =\"43569152\"]\n  6 -> 38 [size =\"43569152\"]\n  6 -> 39 [size =\"43569152\"]\n  6 -> 41 [size =\"43569152\"]\n  6 -> 45 [size =\"43569152\"]\n  7 [size=\"113418240\", alpha=\"0.13\", expect_size=\"34025472\"] \n  7 -> 34 [size =\"34025472\"]\n  7 -> 39 [size =\"34025472\"]\n  7 -> 39 [size =\"34025472\"]\n  8 [size=\"117046613\", alpha=\"0.10\", expect_size=\"35113984\"] \n  8 -> 43 [size =\"35113984\"]\n  9 [size=\"98082133\", alpha=\"0.05\", expect_size=\"29424640\"] \n  9 -> 33 [size =\"29424640\"]\n  9 -> 35 [size =\"29424640\"]\n  9 -> 36 [size =\"29424640\"]\n  9 -> 38 [size =\"29424640\"]\n  9 -> 40 [size =\"29424640\"]\n  10 [size=\"71642453\", alpha=\"0.17\", expect_size=\"21492736\"] \n  10 -> 33 [size =\"21492736\"]\n  10 -> 35 [size =\"21492736\"]\n  10 -> 43 [size =\"21492736\"]\n  10 -> 44 [size =\"21492736\"]\n  11 [size=\"73519787\", alpha=\"0.06\", expect_size=\"22055936\"] \n  11 -> 33 [size =\"22055936\"]\n  11 -> 35 [size =\"22055936\"]\n  11 -> 43 [size =\"22055936\"]\n  11 -> 45 [size =\"22055936\"]\n  12 [size=\"20548267\", alpha=\"0.02\", expect_size=\"6164480\"] \n  12 -> 35 [size =\"6164480\"]\n  12 -> 38 [size =\"6164480\"]\n  12 -> 42 [size =\"6164480\"]\n  12 -> 44 [size =\"6164480\"]\n  12 -> 45 [size =\"6164480\"]\n  13 [size=\"81445547\", alpha=\"0.16\", expect_size=\"24433664\"] \n  13 -> 33 [size =\"24433664\"]\n  13 -> 35 [size =\"24433664\"]\n  13 -> 42 [size =\"24433664\"]\n  13 -> 43 [size =\"24433664\"]\n  14 [size=\"18722133\", alpha=\"0.06\", expect_size=\"5616640\"] \n  14 -> 33 [size =\"5616640\"]\n  14 -> 35 [size =\"5616640\"]\n  14 -> 39 [size =\"5616640\"]\n  14 -> 42 [size =\"5616640\"]\n  14 -> 43 [size =\"5616640\"]\n  15 [size=\"111530667\", alpha=\"0.05\", expect_size=\"33459200\"] \n  15 -> 33 [size =\"33459200\"]\n  15 -> 37 [size =\"33459200\"]\n  16 [size=\"93508267\", alpha=\"0.13\", expect_size=\"28052480\"] \n  16 -> 33 [size =\"28052480\"]\n  16 -> 38 [size =\"28052480\"]\n  16 -> 42 [size =\"28052480\"]\n  17 [size=\"162983253\", alpha=\"0.02\", expect_size=\"48894976\"] \n  17 -> 33 [size =\"48894976\"]\n  17 -> 38 [size =\"48894976\"]\n  17 -> 42 [size =\"48894976\"]\n  18 [size=\"108595200\", alpha=\"0.07\", expect_size=\"32578560\"] \n  18 -> 33 [size =\"32578560\"]\n  18 -> 34 [size =\"32578560\"]\n  18 -> 35 [size =\"32578560\"]\n  18 -> 38 [size =\"32578560\"]\n  18 -> 44 [size =\"32578560\"]\n  19 [size=\"31812267\", alpha=\"0.06\", expect_size=\"9543680\"] \n  19 -> 33 [size =\"9543680\"]\n  19 -> 37 [size =\"9543680\"]\n  20 [size=\"74833920\", alpha=\"0.10\", expect_size=\"22450176\"] \n  20 -> 33 [size =\"22450176\"]\n  20 -> 42 [size =\"22450176\"]\n  20 -> 43 [size =\"22450176\"]\n  21 [size=\"54019413\", alpha=\"0.04\", expect_size=\"16205824\"] \n  21 -> 38 [size =\"16205824\"]\n  21 -> 44 [size =\"16205824\"]\n  22 [size=\"99464533\", alpha=\"0.03\", expect_size=\"29839360\"] \n  22 -> 33 [size =\"29839360\"]\n  22 -> 36 [size =\"29839360\"]\n  22 -> 38 [size =\"29839360\"]\n  22 -> 40 [size =\"29839360\"]\n  22 -> 41 [size =\"29839360\"]\n  22 -> 43 [size =\"29839360\"]\n  23 [size=\"119043413\", alpha=\"0.08\", expect_size=\"35713024\"] \n  23 -> 33 [size =\"35713024\"]\n  23 -> 35 [size =\"35713024\"]\n  23 -> 36 [size =\"35713024\"]\n  23 -> 38 [size =\"35713024\"]\n  23 -> 40 [size =\"35713024\"]\n  23 -> 43 [size =\"35713024\"]\n  24 [size=\"86944427\", alpha=\"0.04\", expect_size=\"26083328\"] \n  24 -> 33 [size =\"26083328\"]\n  24 -> 34 [size =\"26083328\"]\n  24 -> 40 [size =\"26083328\"]\n  24 -> 42 [size =\"26083328\"]\n  25 [size=\"137161387\", alpha=\"0.02\", expect_size=\"41148416\"] \n  25 -> 36 [size =\"41148416\"]\n  25 -> 38 [size =\"41148416\"]\n  25 -> 44 [size =\"41148416\"]\n  26 [size=\"19350187\", alpha=\"0.16\", expect_size=\"5805056\"] \n  26 -> 42 [size =\"5805056\"]\n  27 [size=\"123955200\", alpha=\"0.02\", expect_size=\"37186560\"] \n  27 -> 33 [size =\"37186560\"]\n  27 -> 34 [size =\"37186560\"]\n  27 -> 35 [size =\"37186560\"]\n  27 -> 40 [size =\"37186560\"]\n  27 -> 43 [size =\"37186560\"]\n  28 [size=\"141977600\", alpha=\"0.01\", expect_size=\"42593280\"] \n  28 -> 34 [size =\"42593280\"]\n  28 -> 35 [size =\"42593280\"]\n  28 -> 40 [size =\"42593280\"]\n  28 -> 44 [size =\"42593280\"]\n  29 [size=\"38372693\", alpha=\"0.10\", expect_size=\"11511808\"] \n  29 -> 37 [size =\"11511808\"]\n  30 [size=\"82264747\", alpha=\"0.07\", expect_size=\"24679424\"] \n  30 -> 33 [size =\"24679424\"]\n  30 -> 35 [size =\"24679424\"]\n  31 [size=\"159986347\", alpha=\"0.10\", expect_size=\"47995904\"] \n  31 -> 35 [size =\"47995904\"]\n  31 -> 39 [size =\"47995904\"]\n  31 -> 44 [size =\"47995904\"]\n  32 [size=\"33976320\", alpha=\"0.14\", expect_size=\"10192896\"] \n  32 -> 34 [size =\"10192896\"]\n  32 -> 36 [size =\"10192896\"]\n  32 -> 40 [size =\"10192896\"]\n  33 [size=\"54070613\", alpha=\"0.05\", expect_size=\"16221184\"] \n  34 [size=\"116066987\", alpha=\"0.17\", expect_size=\"34820096\"] \n  35 [size=\"144786773\", alpha=\"0.01\", expect_size=\"43436032\"] \n  36 [size=\"157231787\", alpha=\"0.15\", expect_size=\"47169536\"] \n  37 [size=\"123873280\", alpha=\"0.07\", expect_size=\"37161984\"] \n  38 [size=\"140656640\", alpha=\"0.11\", expect_size=\"42196992\"] \n  39 [size=\"149862400\", alpha=\"0.16\", expect_size=\"44958720\"] \n  40 [size=\"74813440\", alpha=\"0.09\", expect_size=\"22444032\"] \n  41 [size=\"126969173\", alpha=\"0.07\", expect_size=\"38090752\"] \n  42 [size=\"47796907\", alpha=\"0.15\", expect_size=\"14339072\"] \n  43 [size=\"154944853\", alpha=\"0.15\", expect_size=\"46483456\"] \n  44 [size=\"40523093\", alpha=\"0.05\", expect_size=\"12156928\"] \n  45 [size=\"20350293\", alpha=\"0.10\", expect_size=\"6105088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142639787\", alpha=\"0.05\", expect_size=\"42791936\"] \n  1 -> 3 [size =\"42791936\"]\n  1 -> 4 [size =\"42791936\"]\n  2 [size=\"25654613\", alpha=\"0.07\", expect_size=\"7696384\"] \n  3 [size=\"124180480\", alpha=\"0.08\", expect_size=\"37254144\"] \n  3 -> 5 [size =\"37254144\"]\n  3 -> 6 [size =\"37254144\"]\n  3 -> 7 [size =\"37254144\"]\n  4 [size=\"146343253\", alpha=\"0.09\", expect_size=\"43902976\"] \n  4 -> 6 [size =\"43902976\"]\n  4 -> 7 [size =\"43902976\"]\n  5 [size=\"85951147\", alpha=\"0.16\", expect_size=\"25785344\"] \n  6 [size=\"21763413\", alpha=\"0.16\", expect_size=\"6529024\"] \n  6 -> 8 [size =\"6529024\"]\n  6 -> 9 [size =\"6529024\"]\n  7 [size=\"125931520\", alpha=\"0.16\", expect_size=\"37779456\"] \n  7 -> 8 [size =\"37779456\"]\n  8 [size=\"38516053\", alpha=\"0.18\", expect_size=\"11554816\"] \n  9 [size=\"170748587\", alpha=\"0.02\", expect_size=\"51224576\"] \n  9 -> 10 [size =\"51224576\"]\n  9 -> 11 [size =\"51224576\"]\n  10 [size=\"105516373\", alpha=\"0.17\", expect_size=\"31654912\"] \n  10 -> 12 [size =\"31654912\"]\n  10 -> 14 [size =\"31654912\"]\n  11 [size=\"79360000\", alpha=\"0.12\", expect_size=\"23808000\"] \n  11 -> 13 [size =\"23808000\"]\n  11 -> 14 [size =\"23808000\"]\n  12 [size=\"118111573\", alpha=\"0.13\", expect_size=\"35433472\"] \n  13 [size=\"18329600\", alpha=\"0.03\", expect_size=\"5498880\"] \n  13 -> 16 [size =\"5498880\"]\n  14 [size=\"84510720\", alpha=\"0.02\", expect_size=\"25353216\"] \n  14 -> 15 [size =\"25353216\"]\n  14 -> 17 [size =\"25353216\"]\n  15 [size=\"156712960\", alpha=\"0.07\", expect_size=\"47013888\"] \n  15 -> 18 [size =\"47013888\"]\n  15 -> 19 [size =\"47013888\"]\n  16 [size=\"124491093\", alpha=\"0.13\", expect_size=\"37347328\"] \n  17 [size=\"96836267\", alpha=\"0.11\", expect_size=\"29050880\"] \n  17 -> 20 [size =\"29050880\"]\n  18 [size=\"65208320\", alpha=\"0.15\", expect_size=\"19562496\"] \n  18 -> 22 [size =\"19562496\"]\n  19 [size=\"52039680\", alpha=\"0.16\", expect_size=\"15611904\"] \n  19 -> 21 [size =\"15611904\"]\n  19 -> 22 [size =\"15611904\"]\n  20 [size=\"68829867\", alpha=\"0.04\", expect_size=\"20648960\"] \n  20 -> 21 [size =\"20648960\"]\n  21 [size=\"45530453\", alpha=\"0.07\", expect_size=\"13659136\"] \n  21 -> 23 [size =\"13659136\"]\n  21 -> 24 [size =\"13659136\"]\n  22 [size=\"141991253\", alpha=\"0.12\", expect_size=\"42597376\"] \n  23 [size=\"89866240\", alpha=\"0.10\", expect_size=\"26959872\"] \n  23 -> 26 [size =\"26959872\"]\n  24 [size=\"110916267\", alpha=\"0.05\", expect_size=\"33274880\"] \n  24 -> 25 [size =\"33274880\"]\n  25 [size=\"124501333\", alpha=\"0.08\", expect_size=\"37350400\"] \n  25 -> 28 [size =\"37350400\"]\n  26 [size=\"22050133\", alpha=\"0.12\", expect_size=\"6615040\"] \n  26 -> 27 [size =\"6615040\"]\n  26 -> 29 [size =\"6615040\"]\n  27 [size=\"127580160\", alpha=\"0.10\", expect_size=\"38274048\"] \n  27 -> 32 [size =\"38274048\"]\n  28 [size=\"56637440\", alpha=\"0.10\", expect_size=\"16991232\"] \n  28 -> 30 [size =\"16991232\"]\n  28 -> 31 [size =\"16991232\"]\n  29 [size=\"19739307\", alpha=\"0.10\", expect_size=\"5921792\"] \n  30 [size=\"146329600\", alpha=\"0.01\", expect_size=\"43898880\"] \n  30 -> 33 [size =\"43898880\"]\n  31 [size=\"19145387\", alpha=\"0.00\", expect_size=\"5743616\"] \n  32 [size=\"77929813\", alpha=\"0.12\", expect_size=\"23378944\"] \n  32 -> 34 [size =\"23378944\"]\n  33 [size=\"173571413\", alpha=\"0.04\", expect_size=\"52071424\"] \n  33 -> 36 [size =\"52071424\"]\n  34 [size=\"98205013\", alpha=\"0.04\", expect_size=\"29461504\"] \n  34 -> 35 [size =\"29461504\"]\n  34 -> 37 [size =\"29461504\"]\n  35 [size=\"137984000\", alpha=\"0.02\", expect_size=\"41395200\"] \n  36 [size=\"46813867\", alpha=\"0.14\", expect_size=\"14044160\"] \n  36 -> 38 [size =\"14044160\"]\n  36 -> 39 [size =\"14044160\"]\n  37 [size=\"143554560\", alpha=\"0.15\", expect_size=\"43066368\"] \n  37 -> 38 [size =\"43066368\"]\n  37 -> 39 [size =\"43066368\"]\n  38 [size=\"64808960\", alpha=\"0.03\", expect_size=\"19442688\"] \n  38 -> 41 [size =\"19442688\"]\n  38 -> 42 [size =\"19442688\"]\n  39 [size=\"146186240\", alpha=\"0.16\", expect_size=\"43855872\"] \n  39 -> 40 [size =\"43855872\"]\n  39 -> 42 [size =\"43855872\"]\n  40 [size=\"69106347\", alpha=\"0.14\", expect_size=\"20731904\"] \n  40 -> 43 [size =\"20731904\"]\n  40 -> 44 [size =\"20731904\"]\n  40 -> 45 [size =\"20731904\"]\n  41 [size=\"78895787\", alpha=\"0.17\", expect_size=\"23668736\"] \n  41 -> 43 [size =\"23668736\"]\n  41 -> 44 [size =\"23668736\"]\n  42 [size=\"80151893\", alpha=\"0.15\", expect_size=\"24045568\"] \n  42 -> 45 [size =\"24045568\"]\n  43 [size=\"173513387\", alpha=\"0.02\", expect_size=\"52054016\"] \n  44 [size=\"45267627\", alpha=\"0.01\", expect_size=\"13580288\"] \n  45 [size=\"77018453\", alpha=\"0.14\", expect_size=\"23105536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137082880\", alpha=\"0.15\", expect_size=\"41124864\"] \n  1 -> 2 [size =\"41124864\"]\n  2 [size=\"37140480\", alpha=\"0.07\", expect_size=\"11142144\"] \n  2 -> 3 [size =\"11142144\"]\n  3 [size=\"20503893\", alpha=\"0.16\", expect_size=\"6151168\"] \n  3 -> 4 [size =\"6151168\"]\n  4 [size=\"116742827\", alpha=\"0.05\", expect_size=\"35022848\"] \n  4 -> 5 [size =\"35022848\"]\n  5 [size=\"171069440\", alpha=\"0.18\", expect_size=\"51320832\"] \n  5 -> 6 [size =\"51320832\"]\n  6 [size=\"28426240\", alpha=\"0.01\", expect_size=\"8527872\"] \n  6 -> 7 [size =\"8527872\"]\n  7 [size=\"68812800\", alpha=\"0.18\", expect_size=\"20643840\"] \n  7 -> 8 [size =\"20643840\"]\n  8 [size=\"171915947\", alpha=\"0.01\", expect_size=\"51574784\"] \n  8 -> 9 [size =\"51574784\"]\n  9 [size=\"49571840\", alpha=\"0.14\", expect_size=\"14871552\"] \n  9 -> 10 [size =\"14871552\"]\n  10 [size=\"27630933\", alpha=\"0.10\", expect_size=\"8289280\"] \n  10 -> 11 [size =\"8289280\"]\n  11 [size=\"52295680\", alpha=\"0.11\", expect_size=\"15688704\"] \n  11 -> 12 [size =\"15688704\"]\n  12 [size=\"173025280\", alpha=\"0.15\", expect_size=\"51907584\"] \n  12 -> 13 [size =\"51907584\"]\n  13 [size=\"71621973\", alpha=\"0.03\", expect_size=\"21486592\"] \n  13 -> 14 [size =\"21486592\"]\n  14 [size=\"43154773\", alpha=\"0.13\", expect_size=\"12946432\"] \n  14 -> 15 [size =\"12946432\"]\n  15 [size=\"81793707\", alpha=\"0.08\", expect_size=\"24538112\"] \n  15 -> 16 [size =\"24538112\"]\n  16 [size=\"63866880\", alpha=\"0.05\", expect_size=\"19160064\"] \n  16 -> 17 [size =\"19160064\"]\n  17 [size=\"72154453\", alpha=\"0.11\", expect_size=\"21646336\"] \n  17 -> 18 [size =\"21646336\"]\n  18 [size=\"59453440\", alpha=\"0.05\", expect_size=\"17836032\"] \n  18 -> 19 [size =\"17836032\"]\n  19 [size=\"69376000\", alpha=\"0.10\", expect_size=\"20812800\"] \n  19 -> 20 [size =\"20812800\"]\n  20 [size=\"24398507\", alpha=\"0.19\", expect_size=\"7319552\"] \n  20 -> 21 [size =\"7319552\"]\n  21 [size=\"101430613\", alpha=\"0.03\", expect_size=\"30429184\"] \n  21 -> 22 [size =\"30429184\"]\n  22 [size=\"27648000\", alpha=\"0.10\", expect_size=\"8294400\"] \n  22 -> 23 [size =\"8294400\"]\n  23 [size=\"146117973\", alpha=\"0.16\", expect_size=\"43835392\"] \n  23 -> 24 [size =\"43835392\"]\n  24 [size=\"167321600\", alpha=\"0.16\", expect_size=\"50196480\"] \n  24 -> 25 [size =\"50196480\"]\n  25 [size=\"112732160\", alpha=\"0.15\", expect_size=\"33819648\"] \n  25 -> 26 [size =\"33819648\"]\n  26 [size=\"172544000\", alpha=\"0.16\", expect_size=\"51763200\"] \n  26 -> 27 [size =\"51763200\"]\n  27 [size=\"58381653\", alpha=\"0.03\", expect_size=\"17514496\"] \n  27 -> 28 [size =\"17514496\"]\n  28 [size=\"142066347\", alpha=\"0.09\", expect_size=\"42619904\"] \n  28 -> 29 [size =\"42619904\"]\n  29 [size=\"25419093\", alpha=\"0.20\", expect_size=\"7625728\"] \n  29 -> 30 [size =\"7625728\"]\n  30 [size=\"105506133\", alpha=\"0.12\", expect_size=\"31651840\"] \n  30 -> 31 [size =\"31651840\"]\n  31 [size=\"97679360\", alpha=\"0.08\", expect_size=\"29303808\"] \n  31 -> 32 [size =\"29303808\"]\n  32 [size=\"121541973\", alpha=\"0.05\", expect_size=\"36462592\"] \n  32 -> 33 [size =\"36462592\"]\n  33 [size=\"39471787\", alpha=\"0.08\", expect_size=\"11841536\"] \n  33 -> 34 [size =\"11841536\"]\n  34 [size=\"169072640\", alpha=\"0.14\", expect_size=\"50721792\"] \n  34 -> 35 [size =\"50721792\"]\n  35 [size=\"137758720\", alpha=\"0.09\", expect_size=\"41327616\"] \n  35 -> 36 [size =\"41327616\"]\n  36 [size=\"99119787\", alpha=\"0.09\", expect_size=\"29735936\"] \n  36 -> 37 [size =\"29735936\"]\n  37 [size=\"64109227\", alpha=\"0.16\", expect_size=\"19232768\"] \n  37 -> 38 [size =\"19232768\"]\n  38 [size=\"84066987\", alpha=\"0.09\", expect_size=\"25220096\"] \n  38 -> 39 [size =\"25220096\"]\n  39 [size=\"156153173\", alpha=\"0.08\", expect_size=\"46845952\"] \n  39 -> 40 [size =\"46845952\"]\n  40 [size=\"155170133\", alpha=\"0.09\", expect_size=\"46551040\"] \n  40 -> 41 [size =\"46551040\"]\n  41 [size=\"91282773\", alpha=\"0.19\", expect_size=\"27384832\"] \n  41 -> 42 [size =\"27384832\"]\n  42 [size=\"156593493\", alpha=\"0.12\", expect_size=\"46978048\"] \n  42 -> 43 [size =\"46978048\"]\n  43 [size=\"34798933\", alpha=\"0.00\", expect_size=\"10439680\"] \n  43 -> 44 [size =\"10439680\"]\n  44 [size=\"94614187\", alpha=\"0.08\", expect_size=\"28384256\"] \n  44 -> 45 [size =\"28384256\"]\n  45 [size=\"47151787\", alpha=\"0.07\", expect_size=\"14145536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68894720\", alpha=\"0.13\", expect_size=\"27557888\"] \n  1 -> 2 [size =\"27557888\"]\n  2 [size=\"56563200\", alpha=\"0.02\", expect_size=\"22625280\"] \n  2 -> 3 [size =\"22625280\"]\n  3 [size=\"120448000\", alpha=\"0.19\", expect_size=\"48179200\"] \n  3 -> 4 [size =\"48179200\"]\n  4 [size=\"44600320\", alpha=\"0.17\", expect_size=\"17840128\"] \n  4 -> 5 [size =\"17840128\"]\n  5 [size=\"17251840\", alpha=\"0.13\", expect_size=\"6900736\"] \n  5 -> 6 [size =\"6900736\"]\n  6 [size=\"43719680\", alpha=\"0.15\", expect_size=\"17487872\"] \n  6 -> 7 [size =\"17487872\"]\n  7 [size=\"69035520\", alpha=\"0.03\", expect_size=\"27614208\"] \n  7 -> 8 [size =\"27614208\"]\n  8 [size=\"66897920\", alpha=\"0.01\", expect_size=\"26759168\"] \n  8 -> 9 [size =\"26759168\"]\n  9 [size=\"24330240\", alpha=\"0.13\", expect_size=\"9732096\"] \n  9 -> 10 [size =\"9732096\"]\n  10 [size=\"59384320\", alpha=\"0.14\", expect_size=\"23753728\"] \n  10 -> 11 [size =\"23753728\"]\n  11 [size=\"82728960\", alpha=\"0.18\", expect_size=\"33091584\"] \n  11 -> 12 [size =\"33091584\"]\n  12 [size=\"44162560\", alpha=\"0.14\", expect_size=\"17665024\"] \n  12 -> 13 [size =\"17665024\"]\n  13 [size=\"54302720\", alpha=\"0.15\", expect_size=\"21721088\"] \n  13 -> 14 [size =\"21721088\"]\n  14 [size=\"49262080\", alpha=\"0.08\", expect_size=\"19704832\"] \n  14 -> 15 [size =\"19704832\"]\n  15 [size=\"30988800\", alpha=\"0.13\", expect_size=\"12395520\"] \n  15 -> 16 [size =\"12395520\"]\n  16 [size=\"110474240\", alpha=\"0.06\", expect_size=\"44189696\"] \n  16 -> 17 [size =\"44189696\"]\n  17 [size=\"80560640\", alpha=\"0.14\", expect_size=\"32224256\"] \n  17 -> 18 [size =\"32224256\"]\n  18 [size=\"99471360\", alpha=\"0.16\", expect_size=\"39788544\"] \n  18 -> 19 [size =\"39788544\"]\n  19 [size=\"108305920\", alpha=\"0.18\", expect_size=\"43322368\"] \n  19 -> 20 [size =\"43322368\"]\n  20 [size=\"69104640\", alpha=\"0.17\", expect_size=\"27641856\"] \n  20 -> 21 [size =\"27641856\"]\n  21 [size=\"32537600\", alpha=\"0.06\", expect_size=\"13015040\"] \n  21 -> 22 [size =\"13015040\"]\n  22 [size=\"20712960\", alpha=\"0.02\", expect_size=\"8285184\"] \n  22 -> 23 [size =\"8285184\"]\n  23 [size=\"100984320\", alpha=\"0.17\", expect_size=\"40393728\"] \n  23 -> 24 [size =\"40393728\"]\n  24 [size=\"69504000\", alpha=\"0.17\", expect_size=\"27801600\"] \n  24 -> 25 [size =\"27801600\"]\n  25 [size=\"115107840\", alpha=\"0.17\", expect_size=\"46043136\"] \n  25 -> 26 [size =\"46043136\"]\n  26 [size=\"73392640\", alpha=\"0.03\", expect_size=\"29357056\"] \n  26 -> 27 [size =\"29357056\"]\n  27 [size=\"110197760\", alpha=\"0.19\", expect_size=\"44079104\"] \n  27 -> 28 [size =\"44079104\"]\n  28 [size=\"73333760\", alpha=\"0.03\", expect_size=\"29333504\"] \n  28 -> 29 [size =\"29333504\"]\n  29 [size=\"52144640\", alpha=\"0.09\", expect_size=\"20857856\"] \n  29 -> 30 [size =\"20857856\"]\n  30 [size=\"37905920\", alpha=\"0.03\", expect_size=\"15162368\"] \n  30 -> 31 [size =\"15162368\"]\n  31 [size=\"20876800\", alpha=\"0.09\", expect_size=\"8350720\"] \n  31 -> 32 [size =\"8350720\"]\n  32 [size=\"56842240\", alpha=\"0.00\", expect_size=\"22736896\"] \n  32 -> 33 [size =\"22736896\"]\n  33 [size=\"71298560\", alpha=\"0.19\", expect_size=\"28519424\"] \n  33 -> 34 [size =\"28519424\"]\n  34 [size=\"53619200\", alpha=\"0.03\", expect_size=\"21447680\"] \n  34 -> 35 [size =\"21447680\"]\n  35 [size=\"35299840\", alpha=\"0.10\", expect_size=\"14119936\"] \n  35 -> 36 [size =\"14119936\"]\n  36 [size=\"20487680\", alpha=\"0.14\", expect_size=\"8195072\"] \n  36 -> 37 [size =\"8195072\"]\n  37 [size=\"39792640\", alpha=\"0.10\", expect_size=\"15917056\"] \n  37 -> 38 [size =\"15917056\"]\n  38 [size=\"31180800\", alpha=\"0.19\", expect_size=\"12472320\"] \n  38 -> 39 [size =\"12472320\"]\n  39 [size=\"48442880\", alpha=\"0.06\", expect_size=\"19377152\"] \n  39 -> 40 [size =\"19377152\"]\n  40 [size=\"102807040\", alpha=\"0.01\", expect_size=\"41122816\"] \n  40 -> 41 [size =\"41122816\"]\n  41 [size=\"122583040\", alpha=\"0.20\", expect_size=\"49033216\"] \n  41 -> 42 [size =\"49033216\"]\n  42 [size=\"59435520\", alpha=\"0.00\", expect_size=\"23774208\"] \n  42 -> 43 [size =\"23774208\"]\n  43 [size=\"62382080\", alpha=\"0.15\", expect_size=\"24952832\"] \n  43 -> 44 [size =\"24952832\"]\n  44 [size=\"54653440\", alpha=\"0.20\", expect_size=\"21861376\"] \n  44 -> 45 [size =\"21861376\"]\n  45 [size=\"72407040\", alpha=\"0.02\", expect_size=\"28962816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79421440\", alpha=\"0.17\", expect_size=\"39710720\"] \n  1 -> 3 [size =\"39710720\"]\n  1 -> 4 [size =\"39710720\"]\n  1 -> 5 [size =\"39710720\"]\n  2 [size=\"35895296\", alpha=\"0.01\", expect_size=\"17947648\"] \n  2 -> 4 [size =\"17947648\"]\n  2 -> 5 [size =\"17947648\"]\n  3 [size=\"89456640\", alpha=\"0.10\", expect_size=\"44728320\"] \n  3 -> 6 [size =\"44728320\"]\n  3 -> 7 [size =\"44728320\"]\n  4 [size=\"57837568\", alpha=\"0.12\", expect_size=\"28918784\"] \n  5 [size=\"101036032\", alpha=\"0.01\", expect_size=\"50518016\"] \n  6 [size=\"51767296\", alpha=\"0.00\", expect_size=\"25883648\"] \n  6 -> 9 [size =\"25883648\"]\n  7 [size=\"72390656\", alpha=\"0.16\", expect_size=\"36195328\"] \n  7 -> 8 [size =\"36195328\"]\n  7 -> 9 [size =\"36195328\"]\n  8 [size=\"104716288\", alpha=\"0.02\", expect_size=\"52358144\"] \n  8 -> 11 [size =\"52358144\"]\n  9 [size=\"78884864\", alpha=\"0.03\", expect_size=\"39442432\"] \n  9 -> 10 [size =\"39442432\"]\n  10 [size=\"41107456\", alpha=\"0.11\", expect_size=\"20553728\"] \n  10 -> 14 [size =\"20553728\"]\n  11 [size=\"36331520\", alpha=\"0.05\", expect_size=\"18165760\"] \n  11 -> 12 [size =\"18165760\"]\n  11 -> 13 [size =\"18165760\"]\n  11 -> 14 [size =\"18165760\"]\n  12 [size=\"24172544\", alpha=\"0.07\", expect_size=\"12086272\"] \n  12 -> 16 [size =\"12086272\"]\n  13 [size=\"28819456\", alpha=\"0.10\", expect_size=\"14409728\"] \n  13 -> 15 [size =\"14409728\"]\n  14 [size=\"74594304\", alpha=\"0.07\", expect_size=\"37297152\"] \n  14 -> 15 [size =\"37297152\"]\n  15 [size=\"39079936\", alpha=\"0.01\", expect_size=\"19539968\"] \n  15 -> 17 [size =\"19539968\"]\n  15 -> 18 [size =\"19539968\"]\n  15 -> 19 [size =\"19539968\"]\n  16 [size=\"41996288\", alpha=\"0.16\", expect_size=\"20998144\"] \n  16 -> 19 [size =\"20998144\"]\n  17 [size=\"43667456\", alpha=\"0.07\", expect_size=\"21833728\"] \n  17 -> 21 [size =\"21833728\"]\n  17 -> 22 [size =\"21833728\"]\n  18 [size=\"24287232\", alpha=\"0.01\", expect_size=\"12143616\"] \n  18 -> 20 [size =\"12143616\"]\n  19 [size=\"34373632\", alpha=\"0.16\", expect_size=\"17186816\"] \n  19 -> 20 [size =\"17186816\"]\n  20 [size=\"47798272\", alpha=\"0.17\", expect_size=\"23899136\"] \n  20 -> 23 [size =\"23899136\"]\n  21 [size=\"100878336\", alpha=\"0.12\", expect_size=\"50439168\"] \n  22 [size=\"29575168\", alpha=\"0.13\", expect_size=\"14787584\"] \n  22 -> 24 [size =\"14787584\"]\n  23 [size=\"61540352\", alpha=\"0.11\", expect_size=\"30770176\"] \n  24 [size=\"16293888\", alpha=\"0.18\", expect_size=\"8146944\"] \n  24 -> 25 [size =\"8146944\"]\n  24 -> 26 [size =\"8146944\"]\n  25 [size=\"50802688\", alpha=\"0.05\", expect_size=\"25401344\"] \n  25 -> 27 [size =\"25401344\"]\n  25 -> 28 [size =\"25401344\"]\n  26 [size=\"53233664\", alpha=\"0.01\", expect_size=\"26616832\"] \n  26 -> 27 [size =\"26616832\"]\n  27 [size=\"36188160\", alpha=\"0.10\", expect_size=\"18094080\"] \n  27 -> 29 [size =\"18094080\"]\n  27 -> 30 [size =\"18094080\"]\n  28 [size=\"69969920\", alpha=\"0.18\", expect_size=\"34984960\"] \n  28 -> 30 [size =\"34984960\"]\n  28 -> 31 [size =\"34984960\"]\n  29 [size=\"76623872\", alpha=\"0.02\", expect_size=\"38311936\"] \n  30 [size=\"56193024\", alpha=\"0.11\", expect_size=\"28096512\"] \n  30 -> 32 [size =\"28096512\"]\n  30 -> 33 [size =\"28096512\"]\n  31 [size=\"40155136\", alpha=\"0.07\", expect_size=\"20077568\"] \n  32 [size=\"97445888\", alpha=\"0.05\", expect_size=\"48722944\"] \n  32 -> 34 [size =\"48722944\"]\n  33 [size=\"64733184\", alpha=\"0.07\", expect_size=\"32366592\"] \n  33 -> 35 [size =\"32366592\"]\n  34 [size=\"20985856\", alpha=\"0.02\", expect_size=\"10492928\"] \n  34 -> 36 [size =\"10492928\"]\n  35 [size=\"13559808\", alpha=\"0.04\", expect_size=\"6779904\"] \n  35 -> 36 [size =\"6779904\"]\n  35 -> 37 [size =\"6779904\"]\n  35 -> 38 [size =\"6779904\"]\n  36 [size=\"38635520\", alpha=\"0.12\", expect_size=\"19317760\"] \n  36 -> 39 [size =\"19317760\"]\n  36 -> 40 [size =\"19317760\"]\n  37 [size=\"43120640\", alpha=\"0.07\", expect_size=\"21560320\"] \n  38 [size=\"88924160\", alpha=\"0.06\", expect_size=\"44462080\"] \n  39 [size=\"81534976\", alpha=\"0.09\", expect_size=\"40767488\"] \n  39 -> 41 [size =\"40767488\"]\n  39 -> 42 [size =\"40767488\"]\n  40 [size=\"89350144\", alpha=\"0.00\", expect_size=\"44675072\"] \n  40 -> 41 [size =\"44675072\"]\n  41 [size=\"48625664\", alpha=\"0.11\", expect_size=\"24312832\"] \n  41 -> 43 [size =\"24312832\"]\n  41 -> 44 [size =\"24312832\"]\n  41 -> 45 [size =\"24312832\"]\n  42 [size=\"79579136\", alpha=\"0.05\", expect_size=\"39789568\"] \n  42 -> 44 [size =\"39789568\"]\n  42 -> 45 [size =\"39789568\"]\n  43 [size=\"101523456\", alpha=\"0.10\", expect_size=\"50761728\"] \n  44 [size=\"38424576\", alpha=\"0.17\", expect_size=\"19212288\"] \n  45 [size=\"48760832\", alpha=\"0.12\", expect_size=\"24380416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58943488\", alpha=\"0.00\", expect_size=\"29471744\"] \n  1 -> 23 [size =\"29471744\"]\n  1 -> 27 [size =\"29471744\"]\n  1 -> 29 [size =\"29471744\"]\n  1 -> 30 [size =\"29471744\"]\n  1 -> 33 [size =\"29471744\"]\n  1 -> 34 [size =\"29471744\"]\n  1 -> 35 [size =\"29471744\"]\n  1 -> 38 [size =\"29471744\"]\n  1 -> 39 [size =\"29471744\"]\n  1 -> 42 [size =\"29471744\"]\n  1 -> 43 [size =\"29471744\"]\n  1 -> 44 [size =\"29471744\"]\n  2 [size=\"98187264\", alpha=\"0.07\", expect_size=\"49093632\"] \n  2 -> 30 [size =\"49093632\"]\n  2 -> 34 [size =\"49093632\"]\n  2 -> 36 [size =\"49093632\"]\n  2 -> 38 [size =\"49093632\"]\n  2 -> 42 [size =\"49093632\"]\n  2 -> 43 [size =\"49093632\"]\n  3 [size=\"94351360\", alpha=\"0.14\", expect_size=\"47175680\"] \n  3 -> 29 [size =\"47175680\"]\n  3 -> 31 [size =\"47175680\"]\n  3 -> 32 [size =\"47175680\"]\n  3 -> 34 [size =\"47175680\"]\n  3 -> 36 [size =\"47175680\"]\n  3 -> 37 [size =\"47175680\"]\n  3 -> 38 [size =\"47175680\"]\n  3 -> 39 [size =\"47175680\"]\n  3 -> 41 [size =\"47175680\"]\n  4 [size=\"70559744\", alpha=\"0.12\", expect_size=\"35279872\"] \n  4 -> 30 [size =\"35279872\"]\n  4 -> 31 [size =\"35279872\"]\n  4 -> 32 [size =\"35279872\"]\n  4 -> 34 [size =\"35279872\"]\n  4 -> 36 [size =\"35279872\"]\n  4 -> 38 [size =\"35279872\"]\n  4 -> 41 [size =\"35279872\"]\n  5 [size=\"12271616\", alpha=\"0.14\", expect_size=\"6135808\"] \n  5 -> 22 [size =\"6135808\"]\n  5 -> 30 [size =\"6135808\"]\n  5 -> 34 [size =\"6135808\"]\n  5 -> 37 [size =\"6135808\"]\n  5 -> 38 [size =\"6135808\"]\n  5 -> 43 [size =\"6135808\"]\n  5 -> 44 [size =\"6135808\"]\n  5 -> 45 [size =\"6135808\"]\n  6 [size=\"100028416\", alpha=\"0.11\", expect_size=\"50014208\"] \n  6 -> 21 [size =\"50014208\"]\n  6 -> 24 [size =\"50014208\"]\n  6 -> 25 [size =\"50014208\"]\n  6 -> 31 [size =\"50014208\"]\n  6 -> 34 [size =\"50014208\"]\n  6 -> 41 [size =\"50014208\"]\n  6 -> 43 [size =\"50014208\"]\n  6 -> 45 [size =\"50014208\"]\n  7 [size=\"88485888\", alpha=\"0.04\", expect_size=\"44242944\"] \n  7 -> 37 [size =\"44242944\"]\n  7 -> 38 [size =\"44242944\"]\n  8 [size=\"42201088\", alpha=\"0.06\", expect_size=\"21100544\"] \n  8 -> 23 [size =\"21100544\"]\n  8 -> 36 [size =\"21100544\"]\n  8 -> 37 [size =\"21100544\"]\n  8 -> 42 [size =\"21100544\"]\n  8 -> 45 [size =\"21100544\"]\n  9 [size=\"19988480\", alpha=\"0.04\", expect_size=\"9994240\"] \n  9 -> 22 [size =\"9994240\"]\n  9 -> 23 [size =\"9994240\"]\n  9 -> 24 [size =\"9994240\"]\n  9 -> 28 [size =\"9994240\"]\n  9 -> 29 [size =\"9994240\"]\n  9 -> 31 [size =\"9994240\"]\n  9 -> 41 [size =\"9994240\"]\n  9 -> 42 [size =\"9994240\"]\n  9 -> 43 [size =\"9994240\"]\n  10 [size=\"102209536\", alpha=\"0.07\", expect_size=\"51104768\"] \n  10 -> 22 [size =\"51104768\"]\n  10 -> 25 [size =\"51104768\"]\n  10 -> 37 [size =\"51104768\"]\n  10 -> 43 [size =\"51104768\"]\n  10 -> 44 [size =\"51104768\"]\n  10 -> 45 [size =\"51104768\"]\n  11 [size=\"68341760\", alpha=\"0.10\", expect_size=\"34170880\"] \n  11 -> 35 [size =\"34170880\"]\n  11 -> 36 [size =\"34170880\"]\n  11 -> 42 [size =\"34170880\"]\n  11 -> 44 [size =\"34170880\"]\n  12 [size=\"68513792\", alpha=\"0.19\", expect_size=\"34256896\"] \n  12 -> 24 [size =\"34256896\"]\n  12 -> 25 [size =\"34256896\"]\n  12 -> 36 [size =\"34256896\"]\n  12 -> 39 [size =\"34256896\"]\n  12 -> 43 [size =\"34256896\"]\n  13 [size=\"100186112\", alpha=\"0.09\", expect_size=\"50093056\"] \n  13 -> 23 [size =\"50093056\"]\n  13 -> 24 [size =\"50093056\"]\n  13 -> 32 [size =\"50093056\"]\n  13 -> 34 [size =\"50093056\"]\n  13 -> 44 [size =\"50093056\"]\n  14 [size=\"71311360\", alpha=\"0.20\", expect_size=\"35655680\"] \n  14 -> 23 [size =\"35655680\"]\n  14 -> 25 [size =\"35655680\"]\n  14 -> 34 [size =\"35655680\"]\n  14 -> 38 [size =\"35655680\"]\n  14 -> 40 [size =\"35655680\"]\n  14 -> 44 [size =\"35655680\"]\n  15 [size=\"34115584\", alpha=\"0.00\", expect_size=\"17057792\"] \n  15 -> 23 [size =\"17057792\"]\n  15 -> 25 [size =\"17057792\"]\n  15 -> 26 [size =\"17057792\"]\n  15 -> 32 [size =\"17057792\"]\n  16 [size=\"100130816\", alpha=\"0.07\", expect_size=\"50065408\"] \n  16 -> 21 [size =\"50065408\"]\n  16 -> 22 [size =\"50065408\"]\n  16 -> 23 [size =\"50065408\"]\n  16 -> 31 [size =\"50065408\"]\n  16 -> 32 [size =\"50065408\"]\n  16 -> 34 [size =\"50065408\"]\n  16 -> 42 [size =\"50065408\"]\n  17 [size=\"58439680\", alpha=\"0.17\", expect_size=\"29219840\"] \n  17 -> 22 [size =\"29219840\"]\n  17 -> 25 [size =\"29219840\"]\n  17 -> 29 [size =\"29219840\"]\n  17 -> 35 [size =\"29219840\"]\n  17 -> 36 [size =\"29219840\"]\n  17 -> 38 [size =\"29219840\"]\n  18 [size=\"75479040\", alpha=\"0.17\", expect_size=\"37739520\"] \n  18 -> 22 [size =\"37739520\"]\n  18 -> 23 [size =\"37739520\"]\n  18 -> 25 [size =\"37739520\"]\n  18 -> 38 [size =\"37739520\"]\n  18 -> 41 [size =\"37739520\"]\n  18 -> 42 [size =\"37739520\"]\n  18 -> 43 [size =\"37739520\"]\n  18 -> 45 [size =\"37739520\"]\n  19 [size=\"104085504\", alpha=\"0.15\", expect_size=\"52042752\"] \n  19 -> 25 [size =\"52042752\"]\n  19 -> 29 [size =\"52042752\"]\n  19 -> 30 [size =\"52042752\"]\n  19 -> 37 [size =\"52042752\"]\n  19 -> 38 [size =\"52042752\"]\n  20 [size=\"28301312\", alpha=\"0.13\", expect_size=\"14150656\"] \n  20 -> 27 [size =\"14150656\"]\n  20 -> 28 [size =\"14150656\"]\n  20 -> 31 [size =\"14150656\"]\n  20 -> 34 [size =\"14150656\"]\n  20 -> 41 [size =\"14150656\"]\n  20 -> 42 [size =\"14150656\"]\n  21 [size=\"63639552\", alpha=\"0.00\", expect_size=\"31819776\"] \n  22 [size=\"16091136\", alpha=\"0.06\", expect_size=\"8045568\"] \n  23 [size=\"10522624\", alpha=\"0.10\", expect_size=\"5261312\"] \n  24 [size=\"53737472\", alpha=\"0.07\", expect_size=\"26868736\"] \n  25 [size=\"53049344\", alpha=\"0.04\", expect_size=\"26524672\"] \n  26 [size=\"54798336\", alpha=\"0.00\", expect_size=\"27399168\"] \n  27 [size=\"88983552\", alpha=\"0.13\", expect_size=\"44491776\"] \n  28 [size=\"74913792\", alpha=\"0.12\", expect_size=\"37456896\"] \n  29 [size=\"62601216\", alpha=\"0.14\", expect_size=\"31300608\"] \n  30 [size=\"39657472\", alpha=\"0.14\", expect_size=\"19828736\"] \n  31 [size=\"98643968\", alpha=\"0.07\", expect_size=\"49321984\"] \n  32 [size=\"99274752\", alpha=\"0.13\", expect_size=\"49637376\"] \n  33 [size=\"34881536\", alpha=\"0.17\", expect_size=\"17440768\"] \n  34 [size=\"83699712\", alpha=\"0.14\", expect_size=\"41849856\"] \n  35 [size=\"22693888\", alpha=\"0.17\", expect_size=\"11346944\"] \n  36 [size=\"42393600\", alpha=\"0.18\", expect_size=\"21196800\"] \n  37 [size=\"43597824\", alpha=\"0.09\", expect_size=\"21798912\"] \n  38 [size=\"104310784\", alpha=\"0.14\", expect_size=\"52155392\"] \n  39 [size=\"67500032\", alpha=\"0.19\", expect_size=\"33750016\"] \n  40 [size=\"37044224\", alpha=\"0.08\", expect_size=\"18522112\"] \n  41 [size=\"104665088\", alpha=\"0.08\", expect_size=\"52332544\"] \n  42 [size=\"45107200\", alpha=\"0.10\", expect_size=\"22553600\"] \n  43 [size=\"10766336\", alpha=\"0.11\", expect_size=\"5383168\"] \n  44 [size=\"91348992\", alpha=\"0.01\", expect_size=\"45674496\"] \n  45 [size=\"64565248\", alpha=\"0.01\", expect_size=\"32282624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116136960\", alpha=\"0.02\", expect_size=\"46454784\"] \n  2 [size=\"81011200\", alpha=\"0.09\", expect_size=\"32404480\"] \n  2 -> 4 [size =\"32404480\"]\n  2 -> 5 [size =\"32404480\"]\n  3 [size=\"101416960\", alpha=\"0.15\", expect_size=\"40566784\"] \n  4 [size=\"56253440\", alpha=\"0.12\", expect_size=\"22501376\"] \n  4 -> 6 [size =\"22501376\"]\n  5 [size=\"43310080\", alpha=\"0.14\", expect_size=\"17324032\"] \n  5 -> 6 [size =\"17324032\"]\n  5 -> 7 [size =\"17324032\"]\n  6 [size=\"14653440\", alpha=\"0.01\", expect_size=\"5861376\"] \n  6 -> 8 [size =\"5861376\"]\n  6 -> 9 [size =\"5861376\"]\n  6 -> 10 [size =\"5861376\"]\n  7 [size=\"92628480\", alpha=\"0.11\", expect_size=\"37051392\"] \n  7 -> 8 [size =\"37051392\"]\n  7 -> 10 [size =\"37051392\"]\n  8 [size=\"113758720\", alpha=\"0.10\", expect_size=\"45503488\"] \n  8 -> 11 [size =\"45503488\"]\n  9 [size=\"34583040\", alpha=\"0.10\", expect_size=\"13833216\"] \n  9 -> 11 [size =\"13833216\"]\n  10 [size=\"85870080\", alpha=\"0.09\", expect_size=\"34348032\"] \n  10 -> 12 [size =\"34348032\"]\n  11 [size=\"111577600\", alpha=\"0.09\", expect_size=\"44631040\"] \n  11 -> 13 [size =\"44631040\"]\n  11 -> 14 [size =\"44631040\"]\n  12 [size=\"121323520\", alpha=\"0.10\", expect_size=\"48529408\"] \n  12 -> 14 [size =\"48529408\"]\n  13 [size=\"57699840\", alpha=\"0.10\", expect_size=\"23079936\"] \n  13 -> 16 [size =\"23079936\"]\n  13 -> 17 [size =\"23079936\"]\n  14 [size=\"29168640\", alpha=\"0.02\", expect_size=\"11667456\"] \n  14 -> 15 [size =\"11667456\"]\n  14 -> 16 [size =\"11667456\"]\n  15 [size=\"97164800\", alpha=\"0.03\", expect_size=\"38865920\"] \n  15 -> 19 [size =\"38865920\"]\n  15 -> 20 [size =\"38865920\"]\n  16 [size=\"60712960\", alpha=\"0.11\", expect_size=\"24285184\"] \n  16 -> 18 [size =\"24285184\"]\n  17 [size=\"67461120\", alpha=\"0.18\", expect_size=\"26984448\"] \n  18 [size=\"14545920\", alpha=\"0.09\", expect_size=\"5818368\"] \n  18 -> 22 [size =\"5818368\"]\n  19 [size=\"74188800\", alpha=\"0.04\", expect_size=\"29675520\"] \n  19 -> 21 [size =\"29675520\"]\n  20 [size=\"15280640\", alpha=\"0.00\", expect_size=\"6112256\"] \n  20 -> 22 [size =\"6112256\"]\n  21 [size=\"70712320\", alpha=\"0.14\", expect_size=\"28284928\"] \n  21 -> 23 [size =\"28284928\"]\n  22 [size=\"121656320\", alpha=\"0.19\", expect_size=\"48662528\"] \n  22 -> 23 [size =\"48662528\"]\n  22 -> 24 [size =\"48662528\"]\n  23 [size=\"62609920\", alpha=\"0.19\", expect_size=\"25043968\"] \n  23 -> 25 [size =\"25043968\"]\n  24 [size=\"122460160\", alpha=\"0.06\", expect_size=\"48984064\"] \n  24 -> 25 [size =\"48984064\"]\n  24 -> 26 [size =\"48984064\"]\n  25 [size=\"15421440\", alpha=\"0.19\", expect_size=\"6168576\"] \n  26 [size=\"32263680\", alpha=\"0.12\", expect_size=\"12905472\"] \n  26 -> 27 [size =\"12905472\"]\n  26 -> 28 [size =\"12905472\"]\n  26 -> 29 [size =\"12905472\"]\n  27 [size=\"98301440\", alpha=\"0.18\", expect_size=\"39320576\"] \n  28 [size=\"86379520\", alpha=\"0.01\", expect_size=\"34551808\"] \n  28 -> 30 [size =\"34551808\"]\n  29 [size=\"21084160\", alpha=\"0.08\", expect_size=\"8433664\"] \n  29 -> 31 [size =\"8433664\"]\n  30 [size=\"44433920\", alpha=\"0.08\", expect_size=\"17773568\"] \n  30 -> 32 [size =\"17773568\"]\n  31 [size=\"45058560\", alpha=\"0.04\", expect_size=\"18023424\"] \n  31 -> 33 [size =\"18023424\"]\n  32 [size=\"125985280\", alpha=\"0.18\", expect_size=\"50394112\"] \n  32 -> 34 [size =\"50394112\"]\n  32 -> 35 [size =\"50394112\"]\n  33 [size=\"119188480\", alpha=\"0.20\", expect_size=\"47675392\"] \n  33 -> 35 [size =\"47675392\"]\n  33 -> 36 [size =\"47675392\"]\n  34 [size=\"112983040\", alpha=\"0.05\", expect_size=\"45193216\"] \n  34 -> 37 [size =\"45193216\"]\n  34 -> 38 [size =\"45193216\"]\n  35 [size=\"32547840\", alpha=\"0.03\", expect_size=\"13019136\"] \n  35 -> 37 [size =\"13019136\"]\n  36 [size=\"26050560\", alpha=\"0.10\", expect_size=\"10420224\"] \n  36 -> 38 [size =\"10420224\"]\n  37 [size=\"95040000\", alpha=\"0.07\", expect_size=\"38016000\"] \n  37 -> 40 [size =\"38016000\"]\n  38 [size=\"83112960\", alpha=\"0.03\", expect_size=\"33245184\"] \n  38 -> 39 [size =\"33245184\"]\n  38 -> 40 [size =\"33245184\"]\n  39 [size=\"90918400\", alpha=\"0.10\", expect_size=\"36367360\"] \n  39 -> 41 [size =\"36367360\"]\n  39 -> 42 [size =\"36367360\"]\n  39 -> 43 [size =\"36367360\"]\n  40 [size=\"21969920\", alpha=\"0.17\", expect_size=\"8787968\"] \n  40 -> 41 [size =\"8787968\"]\n  40 -> 42 [size =\"8787968\"]\n  41 [size=\"66997760\", alpha=\"0.14\", expect_size=\"26799104\"] \n  41 -> 44 [size =\"26799104\"]\n  41 -> 45 [size =\"26799104\"]\n  42 [size=\"88542720\", alpha=\"0.09\", expect_size=\"35417088\"] \n  43 [size=\"76861440\", alpha=\"0.13\", expect_size=\"30744576\"] \n  44 [size=\"76546560\", alpha=\"0.15\", expect_size=\"30618624\"] \n  45 [size=\"103659520\", alpha=\"0.18\", expect_size=\"41463808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21540864\", alpha=\"0.05\", expect_size=\"10770432\"] \n  1 -> 5 [size =\"10770432\"]\n  1 -> 8 [size =\"10770432\"]\n  2 [size=\"85217280\", alpha=\"0.16\", expect_size=\"42608640\"] \n  2 -> 6 [size =\"42608640\"]\n  2 -> 9 [size =\"42608640\"]\n  3 [size=\"57153536\", alpha=\"0.09\", expect_size=\"28576768\"] \n  3 -> 8 [size =\"28576768\"]\n  4 [size=\"12060672\", alpha=\"0.04\", expect_size=\"6030336\"] \n  4 -> 5 [size =\"6030336\"]\n  4 -> 7 [size =\"6030336\"]\n  5 [size=\"69808128\", alpha=\"0.20\", expect_size=\"34904064\"] \n  5 -> 11 [size =\"34904064\"]\n  5 -> 13 [size =\"34904064\"]\n  6 [size=\"42127360\", alpha=\"0.05\", expect_size=\"21063680\"] \n  6 -> 11 [size =\"21063680\"]\n  7 [size=\"53602304\", alpha=\"0.12\", expect_size=\"26801152\"] \n  7 -> 11 [size =\"26801152\"]\n  8 [size=\"80992256\", alpha=\"0.14\", expect_size=\"40496128\"] \n  8 -> 10 [size =\"40496128\"]\n  8 -> 14 [size =\"40496128\"]\n  9 [size=\"14598144\", alpha=\"0.12\", expect_size=\"7299072\"] \n  9 -> 10 [size =\"7299072\"]\n  9 -> 12 [size =\"7299072\"]\n  10 [size=\"84561920\", alpha=\"0.20\", expect_size=\"42280960\"] \n  10 -> 15 [size =\"42280960\"]\n  10 -> 16 [size =\"42280960\"]\n  10 -> 17 [size =\"42280960\"]\n  10 -> 21 [size =\"42280960\"]\n  11 [size=\"39225344\", alpha=\"0.17\", expect_size=\"19612672\"] \n  12 [size=\"61528064\", alpha=\"0.20\", expect_size=\"30764032\"] \n  12 -> 15 [size =\"30764032\"]\n  12 -> 20 [size =\"30764032\"]\n  12 -> 21 [size =\"30764032\"]\n  13 [size=\"44353536\", alpha=\"0.17\", expect_size=\"22176768\"] \n  13 -> 15 [size =\"22176768\"]\n  13 -> 16 [size =\"22176768\"]\n  13 -> 18 [size =\"22176768\"]\n  13 -> 19 [size =\"22176768\"]\n  13 -> 20 [size =\"22176768\"]\n  13 -> 21 [size =\"22176768\"]\n  14 [size=\"85106688\", alpha=\"0.10\", expect_size=\"42553344\"] \n  15 [size=\"10782720\", alpha=\"0.14\", expect_size=\"5391360\"] \n  16 [size=\"10766336\", alpha=\"0.03\", expect_size=\"5383168\"] \n  16 -> 25 [size =\"5383168\"]\n  16 -> 26 [size =\"5383168\"]\n  17 [size=\"32452608\", alpha=\"0.17\", expect_size=\"16226304\"] \n  17 -> 23 [size =\"16226304\"]\n  17 -> 26 [size =\"16226304\"]\n  18 [size=\"87027712\", alpha=\"0.04\", expect_size=\"43513856\"] \n  18 -> 22 [size =\"43513856\"]\n  18 -> 23 [size =\"43513856\"]\n  18 -> 25 [size =\"43513856\"]\n  19 [size=\"57899008\", alpha=\"0.16\", expect_size=\"28949504\"] \n  19 -> 25 [size =\"28949504\"]\n  19 -> 26 [size =\"28949504\"]\n  20 [size=\"19779584\", alpha=\"0.03\", expect_size=\"9889792\"] \n  20 -> 23 [size =\"9889792\"]\n  20 -> 25 [size =\"9889792\"]\n  21 [size=\"18669568\", alpha=\"0.14\", expect_size=\"9334784\"] \n  21 -> 24 [size =\"9334784\"]\n  21 -> 27 [size =\"9334784\"]\n  22 [size=\"98693120\", alpha=\"0.20\", expect_size=\"49346560\"] \n  22 -> 29 [size =\"49346560\"]\n  22 -> 32 [size =\"49346560\"]\n  23 [size=\"98050048\", alpha=\"0.16\", expect_size=\"49025024\"] \n  23 -> 33 [size =\"49025024\"]\n  24 [size=\"85223424\", alpha=\"0.12\", expect_size=\"42611712\"] \n  24 -> 28 [size =\"42611712\"]\n  24 -> 29 [size =\"42611712\"]\n  25 [size=\"37007360\", alpha=\"0.01\", expect_size=\"18503680\"] \n  25 -> 28 [size =\"18503680\"]\n  26 [size=\"103571456\", alpha=\"0.17\", expect_size=\"51785728\"] \n  26 -> 33 [size =\"51785728\"]\n  27 [size=\"23889920\", alpha=\"0.02\", expect_size=\"11944960\"] \n  27 -> 28 [size =\"11944960\"]\n  27 -> 29 [size =\"11944960\"]\n  27 -> 30 [size =\"11944960\"]\n  27 -> 31 [size =\"11944960\"]\n  27 -> 32 [size =\"11944960\"]\n  27 -> 33 [size =\"11944960\"]\n  27 -> 34 [size =\"11944960\"]\n  28 [size=\"103313408\", alpha=\"0.02\", expect_size=\"51656704\"] \n  28 -> 39 [size =\"51656704\"]\n  29 [size=\"27275264\", alpha=\"0.02\", expect_size=\"13637632\"] \n  29 -> 37 [size =\"13637632\"]\n  29 -> 38 [size =\"13637632\"]\n  29 -> 39 [size =\"13637632\"]\n  30 [size=\"100466688\", alpha=\"0.19\", expect_size=\"50233344\"] \n  30 -> 37 [size =\"50233344\"]\n  31 [size=\"22595584\", alpha=\"0.01\", expect_size=\"11297792\"] \n  31 -> 35 [size =\"11297792\"]\n  31 -> 37 [size =\"11297792\"]\n  32 [size=\"87838720\", alpha=\"0.14\", expect_size=\"43919360\"] \n  32 -> 35 [size =\"43919360\"]\n  32 -> 36 [size =\"43919360\"]\n  33 [size=\"87810048\", alpha=\"0.15\", expect_size=\"43905024\"] \n  33 -> 35 [size =\"43905024\"]\n  33 -> 36 [size =\"43905024\"]\n  34 [size=\"69177344\", alpha=\"0.11\", expect_size=\"34588672\"] \n  34 -> 35 [size =\"34588672\"]\n  34 -> 39 [size =\"34588672\"]\n  35 [size=\"33519616\", alpha=\"0.07\", expect_size=\"16759808\"] \n  35 -> 41 [size =\"16759808\"]\n  35 -> 43 [size =\"16759808\"]\n  35 -> 45 [size =\"16759808\"]\n  36 [size=\"40157184\", alpha=\"0.03\", expect_size=\"20078592\"] \n  36 -> 43 [size =\"20078592\"]\n  36 -> 45 [size =\"20078592\"]\n  37 [size=\"26363904\", alpha=\"0.04\", expect_size=\"13181952\"] \n  37 -> 42 [size =\"13181952\"]\n  37 -> 44 [size =\"13181952\"]\n  38 [size=\"35256320\", alpha=\"0.02\", expect_size=\"17628160\"] \n  38 -> 40 [size =\"17628160\"]\n  38 -> 41 [size =\"17628160\"]\n  38 -> 44 [size =\"17628160\"]\n  39 [size=\"42971136\", alpha=\"0.09\", expect_size=\"21485568\"] \n  39 -> 42 [size =\"21485568\"]\n  39 -> 44 [size =\"21485568\"]\n  39 -> 45 [size =\"21485568\"]\n  40 [size=\"53618688\", alpha=\"0.18\", expect_size=\"26809344\"] \n  41 [size=\"46905344\", alpha=\"0.09\", expect_size=\"23452672\"] \n  42 [size=\"51570688\", alpha=\"0.19\", expect_size=\"25785344\"] \n  43 [size=\"24291328\", alpha=\"0.07\", expect_size=\"12145664\"] \n  44 [size=\"93302784\", alpha=\"0.11\", expect_size=\"46651392\"] \n  45 [size=\"50112512\", alpha=\"0.01\", expect_size=\"25056256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53721088\", alpha=\"0.13\", expect_size=\"26860544\"] \n  1 -> 2 [size =\"26860544\"]\n  2 [size=\"57337856\", alpha=\"0.04\", expect_size=\"28668928\"] \n  2 -> 3 [size =\"28668928\"]\n  3 [size=\"82409472\", alpha=\"0.02\", expect_size=\"41204736\"] \n  3 -> 4 [size =\"41204736\"]\n  4 [size=\"88926208\", alpha=\"0.16\", expect_size=\"44463104\"] \n  4 -> 5 [size =\"44463104\"]\n  5 [size=\"76384256\", alpha=\"0.11\", expect_size=\"38192128\"] \n  5 -> 6 [size =\"38192128\"]\n  6 [size=\"16416768\", alpha=\"0.13\", expect_size=\"8208384\"] \n  6 -> 7 [size =\"8208384\"]\n  7 [size=\"62302208\", alpha=\"0.15\", expect_size=\"31151104\"] \n  7 -> 8 [size =\"31151104\"]\n  8 [size=\"71229440\", alpha=\"0.10\", expect_size=\"35614720\"] \n  8 -> 9 [size =\"35614720\"]\n  9 [size=\"90398720\", alpha=\"0.15\", expect_size=\"45199360\"] \n  9 -> 10 [size =\"45199360\"]\n  10 [size=\"86349824\", alpha=\"0.10\", expect_size=\"43174912\"] \n  10 -> 11 [size =\"43174912\"]\n  11 [size=\"27574272\", alpha=\"0.09\", expect_size=\"13787136\"] \n  11 -> 12 [size =\"13787136\"]\n  12 [size=\"90843136\", alpha=\"0.09\", expect_size=\"45421568\"] \n  12 -> 13 [size =\"45421568\"]\n  13 [size=\"15753216\", alpha=\"0.16\", expect_size=\"7876608\"] \n  13 -> 14 [size =\"7876608\"]\n  14 [size=\"25845760\", alpha=\"0.10\", expect_size=\"12922880\"] \n  14 -> 15 [size =\"12922880\"]\n  15 [size=\"100556800\", alpha=\"0.05\", expect_size=\"50278400\"] \n  15 -> 16 [size =\"50278400\"]\n  16 [size=\"58099712\", alpha=\"0.12\", expect_size=\"29049856\"] \n  16 -> 17 [size =\"29049856\"]\n  17 [size=\"23812096\", alpha=\"0.07\", expect_size=\"11906048\"] \n  17 -> 18 [size =\"11906048\"]\n  18 [size=\"96098304\", alpha=\"0.15\", expect_size=\"48049152\"] \n  18 -> 19 [size =\"48049152\"]\n  19 [size=\"49526784\", alpha=\"0.20\", expect_size=\"24763392\"] \n  19 -> 20 [size =\"24763392\"]\n  20 [size=\"28041216\", alpha=\"0.05\", expect_size=\"14020608\"] \n  20 -> 21 [size =\"14020608\"]\n  21 [size=\"73443328\", alpha=\"0.19\", expect_size=\"36721664\"] \n  21 -> 22 [size =\"36721664\"]\n  22 [size=\"23795712\", alpha=\"0.03\", expect_size=\"11897856\"] \n  22 -> 23 [size =\"11897856\"]\n  23 [size=\"68200448\", alpha=\"0.03\", expect_size=\"34100224\"] \n  23 -> 24 [size =\"34100224\"]\n  24 [size=\"47661056\", alpha=\"0.19\", expect_size=\"23830528\"] \n  24 -> 25 [size =\"23830528\"]\n  25 [size=\"94097408\", alpha=\"0.09\", expect_size=\"47048704\"] \n  25 -> 26 [size =\"47048704\"]\n  26 [size=\"24678400\", alpha=\"0.00\", expect_size=\"12339200\"] \n  26 -> 27 [size =\"12339200\"]\n  27 [size=\"81692672\", alpha=\"0.02\", expect_size=\"40846336\"] \n  27 -> 28 [size =\"40846336\"]\n  28 [size=\"19546112\", alpha=\"0.17\", expect_size=\"9773056\"] \n  28 -> 29 [size =\"9773056\"]\n  29 [size=\"88610816\", alpha=\"0.09\", expect_size=\"44305408\"] \n  29 -> 30 [size =\"44305408\"]\n  30 [size=\"88477696\", alpha=\"0.18\", expect_size=\"44238848\"] \n  30 -> 31 [size =\"44238848\"]\n  31 [size=\"17876992\", alpha=\"0.09\", expect_size=\"8938496\"] \n  31 -> 32 [size =\"8938496\"]\n  32 [size=\"14417920\", alpha=\"0.18\", expect_size=\"7208960\"] \n  32 -> 33 [size =\"7208960\"]\n  33 [size=\"30582784\", alpha=\"0.08\", expect_size=\"15291392\"] \n  33 -> 34 [size =\"15291392\"]\n  34 [size=\"43923456\", alpha=\"0.01\", expect_size=\"21961728\"] \n  34 -> 35 [size =\"21961728\"]\n  35 [size=\"38510592\", alpha=\"0.13\", expect_size=\"19255296\"] \n  35 -> 36 [size =\"19255296\"]\n  36 [size=\"80242688\", alpha=\"0.16\", expect_size=\"40121344\"] \n  36 -> 37 [size =\"40121344\"]\n  37 [size=\"80678912\", alpha=\"0.01\", expect_size=\"40339456\"] \n  37 -> 38 [size =\"40339456\"]\n  38 [size=\"91635712\", alpha=\"0.04\", expect_size=\"45817856\"] \n  38 -> 39 [size =\"45817856\"]\n  39 [size=\"79489024\", alpha=\"0.16\", expect_size=\"39744512\"] \n  39 -> 40 [size =\"39744512\"]\n  40 [size=\"29777920\", alpha=\"0.11\", expect_size=\"14888960\"] \n  40 -> 41 [size =\"14888960\"]\n  41 [size=\"18370560\", alpha=\"0.20\", expect_size=\"9185280\"] \n  41 -> 42 [size =\"9185280\"]\n  42 [size=\"62355456\", alpha=\"0.11\", expect_size=\"31177728\"] \n  42 -> 43 [size =\"31177728\"]\n  43 [size=\"53346304\", alpha=\"0.15\", expect_size=\"26673152\"] \n  43 -> 44 [size =\"26673152\"]\n  44 [size=\"90986496\", alpha=\"0.06\", expect_size=\"45493248\"] \n  44 -> 45 [size =\"45493248\"]\n  45 [size=\"96262144\", alpha=\"0.16\", expect_size=\"48131072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45862400\", alpha=\"0.19\", expect_size=\"18344960\"] \n  1 -> 18 [size =\"18344960\"]\n  1 -> 20 [size =\"18344960\"]\n  1 -> 21 [size =\"18344960\"]\n  1 -> 24 [size =\"18344960\"]\n  1 -> 25 [size =\"18344960\"]\n  1 -> 26 [size =\"18344960\"]\n  1 -> 27 [size =\"18344960\"]\n  1 -> 28 [size =\"18344960\"]\n  1 -> 29 [size =\"18344960\"]\n  2 [size=\"51996160\", alpha=\"0.12\", expect_size=\"20798464\"] \n  2 -> 18 [size =\"20798464\"]\n  2 -> 19 [size =\"20798464\"]\n  2 -> 20 [size =\"20798464\"]\n  2 -> 22 [size =\"20798464\"]\n  2 -> 24 [size =\"20798464\"]\n  2 -> 25 [size =\"20798464\"]\n  2 -> 29 [size =\"20798464\"]\n  3 [size=\"95050240\", alpha=\"0.06\", expect_size=\"38020096\"] \n  3 -> 18 [size =\"38020096\"]\n  3 -> 20 [size =\"38020096\"]\n  3 -> 25 [size =\"38020096\"]\n  3 -> 28 [size =\"38020096\"]\n  3 -> 29 [size =\"38020096\"]\n  4 [size=\"47247360\", alpha=\"0.11\", expect_size=\"18898944\"] \n  4 -> 26 [size =\"18898944\"]\n  4 -> 28 [size =\"18898944\"]\n  4 -> 32 [size =\"18898944\"]\n  5 [size=\"42001920\", alpha=\"0.09\", expect_size=\"16800768\"] \n  5 -> 18 [size =\"16800768\"]\n  5 -> 19 [size =\"16800768\"]\n  5 -> 26 [size =\"16800768\"]\n  5 -> 27 [size =\"16800768\"]\n  5 -> 28 [size =\"16800768\"]\n  5 -> 29 [size =\"16800768\"]\n  5 -> 32 [size =\"16800768\"]\n  6 [size=\"57223680\", alpha=\"0.15\", expect_size=\"22889472\"] \n  6 -> 18 [size =\"22889472\"]\n  6 -> 24 [size =\"22889472\"]\n  6 -> 29 [size =\"22889472\"]\n  7 [size=\"53020160\", alpha=\"0.09\", expect_size=\"21208064\"] \n  7 -> 18 [size =\"21208064\"]\n  7 -> 19 [size =\"21208064\"]\n  7 -> 20 [size =\"21208064\"]\n  7 -> 21 [size =\"21208064\"]\n  7 -> 25 [size =\"21208064\"]\n  7 -> 28 [size =\"21208064\"]\n  7 -> 29 [size =\"21208064\"]\n  7 -> 30 [size =\"21208064\"]\n  8 [size=\"14200320\", alpha=\"0.10\", expect_size=\"5680128\"] \n  8 -> 21 [size =\"5680128\"]\n  8 -> 25 [size =\"5680128\"]\n  8 -> 28 [size =\"5680128\"]\n  8 -> 30 [size =\"5680128\"]\n  8 -> 32 [size =\"5680128\"]\n  9 [size=\"125470720\", alpha=\"0.03\", expect_size=\"50188288\"] \n  9 -> 18 [size =\"50188288\"]\n  9 -> 20 [size =\"50188288\"]\n  9 -> 21 [size =\"50188288\"]\n  9 -> 22 [size =\"50188288\"]\n  9 -> 27 [size =\"50188288\"]\n  9 -> 29 [size =\"50188288\"]\n  9 -> 30 [size =\"50188288\"]\n  10 [size=\"80271360\", alpha=\"0.15\", expect_size=\"32108544\"] \n  10 -> 18 [size =\"32108544\"]\n  10 -> 22 [size =\"32108544\"]\n  10 -> 26 [size =\"32108544\"]\n  10 -> 27 [size =\"32108544\"]\n  10 -> 29 [size =\"32108544\"]\n  10 -> 30 [size =\"32108544\"]\n  11 [size=\"22113280\", alpha=\"0.09\", expect_size=\"8845312\"] \n  11 -> 22 [size =\"8845312\"]\n  11 -> 26 [size =\"8845312\"]\n  11 -> 27 [size =\"8845312\"]\n  11 -> 28 [size =\"8845312\"]\n  11 -> 31 [size =\"8845312\"]\n  11 -> 32 [size =\"8845312\"]\n  12 [size=\"17292800\", alpha=\"0.08\", expect_size=\"6917120\"] \n  12 -> 18 [size =\"6917120\"]\n  12 -> 19 [size =\"6917120\"]\n  12 -> 20 [size =\"6917120\"]\n  12 -> 24 [size =\"6917120\"]\n  12 -> 28 [size =\"6917120\"]\n  12 -> 29 [size =\"6917120\"]\n  13 [size=\"88788480\", alpha=\"0.11\", expect_size=\"35515392\"] \n  13 -> 20 [size =\"35515392\"]\n  13 -> 23 [size =\"35515392\"]\n  13 -> 25 [size =\"35515392\"]\n  13 -> 31 [size =\"35515392\"]\n  14 [size=\"121610240\", alpha=\"0.15\", expect_size=\"48644096\"] \n  14 -> 20 [size =\"48644096\"]\n  14 -> 25 [size =\"48644096\"]\n  14 -> 27 [size =\"48644096\"]\n  14 -> 28 [size =\"48644096\"]\n  14 -> 32 [size =\"48644096\"]\n  15 [size=\"65953280\", alpha=\"0.11\", expect_size=\"26381312\"] \n  15 -> 18 [size =\"26381312\"]\n  15 -> 19 [size =\"26381312\"]\n  15 -> 20 [size =\"26381312\"]\n  15 -> 23 [size =\"26381312\"]\n  16 [size=\"121638400\", alpha=\"0.06\", expect_size=\"48655360\"] \n  16 -> 19 [size =\"48655360\"]\n  16 -> 21 [size =\"48655360\"]\n  16 -> 26 [size =\"48655360\"]\n  16 -> 27 [size =\"48655360\"]\n  16 -> 28 [size =\"48655360\"]\n  16 -> 29 [size =\"48655360\"]\n  17 [size=\"91479040\", alpha=\"0.15\", expect_size=\"36591616\"] \n  17 -> 18 [size =\"36591616\"]\n  17 -> 19 [size =\"36591616\"]\n  17 -> 23 [size =\"36591616\"]\n  17 -> 25 [size =\"36591616\"]\n  17 -> 28 [size =\"36591616\"]\n  17 -> 31 [size =\"36591616\"]\n  18 [size=\"25088000\", alpha=\"0.13\", expect_size=\"10035200\"] \n  18 -> 33 [size =\"10035200\"]\n  18 -> 39 [size =\"10035200\"]\n  18 -> 41 [size =\"10035200\"]\n  18 -> 42 [size =\"10035200\"]\n  19 [size=\"86100480\", alpha=\"0.05\", expect_size=\"34440192\"] \n  19 -> 33 [size =\"34440192\"]\n  19 -> 37 [size =\"34440192\"]\n  19 -> 39 [size =\"34440192\"]\n  19 -> 40 [size =\"34440192\"]\n  20 [size=\"101987840\", alpha=\"0.17\", expect_size=\"40795136\"] \n  20 -> 33 [size =\"40795136\"]\n  20 -> 35 [size =\"40795136\"]\n  20 -> 37 [size =\"40795136\"]\n  20 -> 40 [size =\"40795136\"]\n  20 -> 41 [size =\"40795136\"]\n  20 -> 43 [size =\"40795136\"]\n  21 [size=\"73367040\", alpha=\"0.13\", expect_size=\"29346816\"] \n  21 -> 38 [size =\"29346816\"]\n  21 -> 40 [size =\"29346816\"]\n  21 -> 42 [size =\"29346816\"]\n  21 -> 43 [size =\"29346816\"]\n  22 [size=\"124687360\", alpha=\"0.16\", expect_size=\"49874944\"] \n  22 -> 33 [size =\"49874944\"]\n  22 -> 36 [size =\"49874944\"]\n  22 -> 38 [size =\"49874944\"]\n  22 -> 41 [size =\"49874944\"]\n  23 [size=\"51791360\", alpha=\"0.14\", expect_size=\"20716544\"] \n  23 -> 34 [size =\"20716544\"]\n  23 -> 35 [size =\"20716544\"]\n  23 -> 39 [size =\"20716544\"]\n  23 -> 40 [size =\"20716544\"]\n  23 -> 45 [size =\"20716544\"]\n  24 [size=\"114810880\", alpha=\"0.16\", expect_size=\"45924352\"] \n  24 -> 33 [size =\"45924352\"]\n  24 -> 40 [size =\"45924352\"]\n  24 -> 41 [size =\"45924352\"]\n  24 -> 42 [size =\"45924352\"]\n  24 -> 44 [size =\"45924352\"]\n  25 [size=\"83619840\", alpha=\"0.04\", expect_size=\"33447936\"] \n  25 -> 43 [size =\"33447936\"]\n  26 [size=\"30991360\", alpha=\"0.20\", expect_size=\"12396544\"] \n  26 -> 33 [size =\"12396544\"]\n  26 -> 36 [size =\"12396544\"]\n  26 -> 41 [size =\"12396544\"]\n  27 [size=\"66173440\", alpha=\"0.02\", expect_size=\"26469376\"] \n  27 -> 33 [size =\"26469376\"]\n  27 -> 34 [size =\"26469376\"]\n  27 -> 37 [size =\"26469376\"]\n  27 -> 39 [size =\"26469376\"]\n  27 -> 41 [size =\"26469376\"]\n  27 -> 42 [size =\"26469376\"]\n  27 -> 43 [size =\"26469376\"]\n  27 -> 45 [size =\"26469376\"]\n  28 [size=\"34575360\", alpha=\"0.04\", expect_size=\"13830144\"] \n  28 -> 37 [size =\"13830144\"]\n  28 -> 39 [size =\"13830144\"]\n  28 -> 41 [size =\"13830144\"]\n  28 -> 42 [size =\"13830144\"]\n  28 -> 45 [size =\"13830144\"]\n  29 [size=\"113996800\", alpha=\"0.05\", expect_size=\"45598720\"] \n  29 -> 37 [size =\"45598720\"]\n  29 -> 40 [size =\"45598720\"]\n  29 -> 41 [size =\"45598720\"]\n  29 -> 45 [size =\"45598720\"]\n  30 [size=\"28134400\", alpha=\"0.18\", expect_size=\"11253760\"] \n  30 -> 35 [size =\"11253760\"]\n  30 -> 41 [size =\"11253760\"]\n  30 -> 45 [size =\"11253760\"]\n  31 [size=\"125588480\", alpha=\"0.12\", expect_size=\"50235392\"] \n  31 -> 39 [size =\"50235392\"]\n  31 -> 40 [size =\"50235392\"]\n  31 -> 42 [size =\"50235392\"]\n  31 -> 43 [size =\"50235392\"]\n  32 [size=\"85219840\", alpha=\"0.07\", expect_size=\"34087936\"] \n  32 -> 34 [size =\"34087936\"]\n  32 -> 35 [size =\"34087936\"]\n  32 -> 40 [size =\"34087936\"]\n  33 [size=\"63882240\", alpha=\"0.15\", expect_size=\"25552896\"] \n  34 [size=\"25556480\", alpha=\"0.01\", expect_size=\"10222592\"] \n  35 [size=\"122344960\", alpha=\"0.16\", expect_size=\"48937984\"] \n  36 [size=\"29253120\", alpha=\"0.09\", expect_size=\"11701248\"] \n  37 [size=\"26324480\", alpha=\"0.16\", expect_size=\"10529792\"] \n  38 [size=\"35507200\", alpha=\"0.05\", expect_size=\"14202880\"] \n  39 [size=\"57899520\", alpha=\"0.06\", expect_size=\"23159808\"] \n  40 [size=\"87897600\", alpha=\"0.02\", expect_size=\"35159040\"] \n  41 [size=\"74700800\", alpha=\"0.09\", expect_size=\"29880320\"] \n  42 [size=\"27320320\", alpha=\"0.14\", expect_size=\"10928128\"] \n  43 [size=\"67909120\", alpha=\"0.06\", expect_size=\"27163648\"] \n  44 [size=\"36218880\", alpha=\"0.15\", expect_size=\"14487552\"] \n  45 [size=\"40755200\", alpha=\"0.17\", expect_size=\"16302080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80858453\", alpha=\"0.16\", expect_size=\"24257536\"] \n  2 [size=\"143674027\", alpha=\"0.13\", expect_size=\"43102208\"] \n  2 -> 5 [size =\"43102208\"]\n  3 [size=\"139502933\", alpha=\"0.09\", expect_size=\"41850880\"] \n  3 -> 4 [size =\"41850880\"]\n  3 -> 5 [size =\"41850880\"]\n  4 [size=\"171499520\", alpha=\"0.20\", expect_size=\"51449856\"] \n  5 [size=\"84230827\", alpha=\"0.13\", expect_size=\"25269248\"] \n  5 -> 6 [size =\"25269248\"]\n  5 -> 7 [size =\"25269248\"]\n  6 [size=\"80035840\", alpha=\"0.10\", expect_size=\"24010752\"] \n  6 -> 8 [size =\"24010752\"]\n  6 -> 9 [size =\"24010752\"]\n  6 -> 10 [size =\"24010752\"]\n  7 [size=\"110690987\", alpha=\"0.14\", expect_size=\"33207296\"] \n  7 -> 9 [size =\"33207296\"]\n  8 [size=\"74291200\", alpha=\"0.08\", expect_size=\"22287360\"] \n  8 -> 11 [size =\"22287360\"]\n  8 -> 13 [size =\"22287360\"]\n  9 [size=\"77206187\", alpha=\"0.12\", expect_size=\"23161856\"] \n  9 -> 14 [size =\"23161856\"]\n  10 [size=\"100881067\", alpha=\"0.00\", expect_size=\"30264320\"] \n  10 -> 11 [size =\"30264320\"]\n  10 -> 12 [size =\"30264320\"]\n  10 -> 13 [size =\"30264320\"]\n  11 [size=\"77387093\", alpha=\"0.08\", expect_size=\"23216128\"] \n  11 -> 15 [size =\"23216128\"]\n  12 [size=\"45957120\", alpha=\"0.05\", expect_size=\"13787136\"] \n  12 -> 15 [size =\"13787136\"]\n  13 [size=\"145657173\", alpha=\"0.14\", expect_size=\"43697152\"] \n  13 -> 15 [size =\"43697152\"]\n  13 -> 16 [size =\"43697152\"]\n  14 [size=\"56395093\", alpha=\"0.10\", expect_size=\"16918528\"] \n  15 [size=\"52534613\", alpha=\"0.15\", expect_size=\"15760384\"] \n  15 -> 17 [size =\"15760384\"]\n  15 -> 18 [size =\"15760384\"]\n  15 -> 19 [size =\"15760384\"]\n  16 [size=\"155736747\", alpha=\"0.03\", expect_size=\"46721024\"] \n  16 -> 17 [size =\"46721024\"]\n  16 -> 19 [size =\"46721024\"]\n  17 [size=\"75021653\", alpha=\"0.08\", expect_size=\"22506496\"] \n  17 -> 20 [size =\"22506496\"]\n  18 [size=\"24425813\", alpha=\"0.01\", expect_size=\"7327744\"] \n  18 -> 21 [size =\"7327744\"]\n  19 [size=\"90521600\", alpha=\"0.04\", expect_size=\"27156480\"] \n  19 -> 20 [size =\"27156480\"]\n  19 -> 21 [size =\"27156480\"]\n  20 [size=\"30621013\", alpha=\"0.08\", expect_size=\"9186304\"] \n  20 -> 24 [size =\"9186304\"]\n  21 [size=\"31300267\", alpha=\"0.19\", expect_size=\"9390080\"] \n  21 -> 22 [size =\"9390080\"]\n  21 -> 23 [size =\"9390080\"]\n  21 -> 24 [size =\"9390080\"]\n  22 [size=\"97662293\", alpha=\"0.07\", expect_size=\"29298688\"] \n  23 [size=\"140404053\", alpha=\"0.11\", expect_size=\"42121216\"] \n  23 -> 25 [size =\"42121216\"]\n  23 -> 26 [size =\"42121216\"]\n  24 [size=\"95849813\", alpha=\"0.14\", expect_size=\"28754944\"] \n  24 -> 25 [size =\"28754944\"]\n  25 [size=\"18083840\", alpha=\"0.05\", expect_size=\"5425152\"] \n  25 -> 27 [size =\"5425152\"]\n  25 -> 28 [size =\"5425152\"]\n  25 -> 29 [size =\"5425152\"]\n  26 [size=\"132539733\", alpha=\"0.05\", expect_size=\"39761920\"] \n  27 [size=\"155200853\", alpha=\"0.16\", expect_size=\"46560256\"] \n  27 -> 30 [size =\"46560256\"]\n  28 [size=\"59467093\", alpha=\"0.14\", expect_size=\"17840128\"] \n  29 [size=\"70239573\", alpha=\"0.00\", expect_size=\"21071872\"] \n  29 -> 31 [size =\"21071872\"]\n  30 [size=\"100959573\", alpha=\"0.17\", expect_size=\"30287872\"] \n  30 -> 34 [size =\"30287872\"]\n  31 [size=\"161191253\", alpha=\"0.01\", expect_size=\"48357376\"] \n  31 -> 32 [size =\"48357376\"]\n  31 -> 33 [size =\"48357376\"]\n  32 [size=\"157033813\", alpha=\"0.09\", expect_size=\"47110144\"] \n  33 [size=\"57398613\", alpha=\"0.13\", expect_size=\"17219584\"] \n  33 -> 35 [size =\"17219584\"]\n  34 [size=\"141598720\", alpha=\"0.03\", expect_size=\"42479616\"] \n  35 [size=\"91801600\", alpha=\"0.16\", expect_size=\"27540480\"] \n  35 -> 36 [size =\"27540480\"]\n  35 -> 37 [size =\"27540480\"]\n  36 [size=\"132051627\", alpha=\"0.07\", expect_size=\"39615488\"] \n  36 -> 39 [size =\"39615488\"]\n  37 [size=\"167621973\", alpha=\"0.06\", expect_size=\"50286592\"] \n  37 -> 38 [size =\"50286592\"]\n  38 [size=\"134444373\", alpha=\"0.05\", expect_size=\"40333312\"] \n  38 -> 40 [size =\"40333312\"]\n  39 [size=\"89330347\", alpha=\"0.14\", expect_size=\"26799104\"] \n  40 [size=\"92016640\", alpha=\"0.04\", expect_size=\"27604992\"] \n  40 -> 41 [size =\"27604992\"]\n  41 [size=\"68618240\", alpha=\"0.17\", expect_size=\"20585472\"] \n  41 -> 42 [size =\"20585472\"]\n  41 -> 43 [size =\"20585472\"]\n  42 [size=\"79049387\", alpha=\"0.19\", expect_size=\"23714816\"] \n  42 -> 44 [size =\"23714816\"]\n  42 -> 45 [size =\"23714816\"]\n  43 [size=\"151794347\", alpha=\"0.17\", expect_size=\"45538304\"] \n  44 [size=\"100454400\", alpha=\"0.05\", expect_size=\"30136320\"] \n  45 [size=\"121245013\", alpha=\"0.13\", expect_size=\"36373504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74468693\", alpha=\"0.05\", expect_size=\"22340608\"] \n  1 -> 6 [size =\"22340608\"]\n  1 -> 7 [size =\"22340608\"]\n  1 -> 9 [size =\"22340608\"]\n  1 -> 10 [size =\"22340608\"]\n  2 [size=\"103413760\", alpha=\"0.09\", expect_size=\"31024128\"] \n  2 -> 7 [size =\"31024128\"]\n  2 -> 8 [size =\"31024128\"]\n  3 [size=\"115056640\", alpha=\"0.02\", expect_size=\"34516992\"] \n  3 -> 6 [size =\"34516992\"]\n  4 [size=\"60613973\", alpha=\"0.11\", expect_size=\"18184192\"] \n  4 -> 8 [size =\"18184192\"]\n  5 [size=\"22087680\", alpha=\"0.01\", expect_size=\"6626304\"] \n  5 -> 7 [size =\"6626304\"]\n  5 -> 8 [size =\"6626304\"]\n  5 -> 9 [size =\"6626304\"]\n  6 [size=\"145329493\", alpha=\"0.04\", expect_size=\"43598848\"] \n  6 -> 14 [size =\"43598848\"]\n  6 -> 16 [size =\"43598848\"]\n  7 [size=\"149667840\", alpha=\"0.02\", expect_size=\"44900352\"] \n  7 -> 13 [size =\"44900352\"]\n  8 [size=\"21582507\", alpha=\"0.08\", expect_size=\"6474752\"] \n  8 -> 12 [size =\"6474752\"]\n  8 -> 13 [size =\"6474752\"]\n  9 [size=\"106397013\", alpha=\"0.14\", expect_size=\"31919104\"] \n  9 -> 11 [size =\"31919104\"]\n  9 -> 14 [size =\"31919104\"]\n  9 -> 15 [size =\"31919104\"]\n  10 [size=\"49261227\", alpha=\"0.00\", expect_size=\"14778368\"] \n  11 [size=\"40253440\", alpha=\"0.06\", expect_size=\"12076032\"] \n  11 -> 18 [size =\"12076032\"]\n  11 -> 20 [size =\"12076032\"]\n  11 -> 22 [size =\"12076032\"]\n  12 [size=\"80305493\", alpha=\"0.18\", expect_size=\"24091648\"] \n  12 -> 20 [size =\"24091648\"]\n  12 -> 22 [size =\"24091648\"]\n  12 -> 22 [size =\"24091648\"]\n  13 [size=\"148572160\", alpha=\"0.19\", expect_size=\"44571648\"] \n  13 -> 18 [size =\"44571648\"]\n  13 -> 19 [size =\"44571648\"]\n  13 -> 20 [size =\"44571648\"]\n  14 [size=\"162805760\", alpha=\"0.12\", expect_size=\"48841728\"] \n  14 -> 19 [size =\"48841728\"]\n  14 -> 21 [size =\"48841728\"]\n  15 [size=\"91880107\", alpha=\"0.16\", expect_size=\"27564032\"] \n  15 -> 18 [size =\"27564032\"]\n  16 [size=\"99130027\", alpha=\"0.08\", expect_size=\"29739008\"] \n  16 -> 17 [size =\"29739008\"]\n  16 -> 21 [size =\"29739008\"]\n  17 [size=\"130119680\", alpha=\"0.01\", expect_size=\"39035904\"] \n  17 -> 24 [size =\"39035904\"]\n  17 -> 25 [size =\"39035904\"]\n  18 [size=\"147234133\", alpha=\"0.18\", expect_size=\"44170240\"] \n  18 -> 25 [size =\"44170240\"]\n  18 -> 26 [size =\"44170240\"]\n  19 [size=\"49776640\", alpha=\"0.12\", expect_size=\"14932992\"] \n  19 -> 26 [size =\"14932992\"]\n  20 [size=\"163358720\", alpha=\"0.18\", expect_size=\"49007616\"] \n  20 -> 23 [size =\"49007616\"]\n  20 -> 24 [size =\"49007616\"]\n  21 [size=\"164539733\", alpha=\"0.10\", expect_size=\"49361920\"] \n  21 -> 25 [size =\"49361920\"]\n  21 -> 26 [size =\"49361920\"]\n  22 [size=\"53753173\", alpha=\"0.13\", expect_size=\"16125952\"] \n  22 -> 25 [size =\"16125952\"]\n  22 -> 27 [size =\"16125952\"]\n  23 [size=\"40939520\", alpha=\"0.09\", expect_size=\"12281856\"] \n  23 -> 31 [size =\"12281856\"]\n  23 -> 32 [size =\"12281856\"]\n  23 -> 33 [size =\"12281856\"]\n  24 [size=\"30457173\", alpha=\"0.10\", expect_size=\"9137152\"] \n  24 -> 31 [size =\"9137152\"]\n  25 [size=\"126272853\", alpha=\"0.12\", expect_size=\"37881856\"] \n  25 -> 28 [size =\"37881856\"]\n  25 -> 29 [size =\"37881856\"]\n  25 -> 30 [size =\"37881856\"]\n  26 [size=\"97477973\", alpha=\"0.10\", expect_size=\"29243392\"] \n  26 -> 29 [size =\"29243392\"]\n  26 -> 31 [size =\"29243392\"]\n  27 [size=\"162283520\", alpha=\"0.05\", expect_size=\"48685056\"] \n  27 -> 28 [size =\"48685056\"]\n  27 -> 29 [size =\"48685056\"]\n  27 -> 32 [size =\"48685056\"]\n  28 [size=\"167451307\", alpha=\"0.00\", expect_size=\"50235392\"] \n  28 -> 34 [size =\"50235392\"]\n  28 -> 38 [size =\"50235392\"]\n  28 -> 39 [size =\"50235392\"]\n  29 [size=\"153975467\", alpha=\"0.07\", expect_size=\"46192640\"] \n  29 -> 35 [size =\"46192640\"]\n  29 -> 38 [size =\"46192640\"]\n  30 [size=\"93842773\", alpha=\"0.18\", expect_size=\"28152832\"] \n  30 -> 35 [size =\"28152832\"]\n  30 -> 38 [size =\"28152832\"]\n  31 [size=\"74188800\", alpha=\"0.11\", expect_size=\"22256640\"] \n  31 -> 34 [size =\"22256640\"]\n  31 -> 35 [size =\"22256640\"]\n  31 -> 36 [size =\"22256640\"]\n  32 [size=\"152016213\", alpha=\"0.13\", expect_size=\"45604864\"] \n  32 -> 36 [size =\"45604864\"]\n  32 -> 37 [size =\"45604864\"]\n  33 [size=\"98682880\", alpha=\"0.11\", expect_size=\"29604864\"] \n  33 -> 35 [size =\"29604864\"]\n  33 -> 38 [size =\"29604864\"]\n  34 [size=\"169062400\", alpha=\"0.08\", expect_size=\"50718720\"] \n  34 -> 43 [size =\"50718720\"]\n  35 [size=\"91723093\", alpha=\"0.14\", expect_size=\"27516928\"] \n  35 -> 43 [size =\"27516928\"]\n  36 [size=\"28562773\", alpha=\"0.11\", expect_size=\"8568832\"] \n  36 -> 40 [size =\"8568832\"]\n  36 -> 41 [size =\"8568832\"]\n  36 -> 42 [size =\"8568832\"]\n  37 [size=\"107438080\", alpha=\"0.02\", expect_size=\"32231424\"] \n  37 -> 43 [size =\"32231424\"]\n  38 [size=\"145971200\", alpha=\"0.09\", expect_size=\"43791360\"] \n  38 -> 41 [size =\"43791360\"]\n  38 -> 44 [size =\"43791360\"]\n  39 [size=\"148264960\", alpha=\"0.01\", expect_size=\"44479488\"] \n  39 -> 44 [size =\"44479488\"]\n  39 -> 44 [size =\"44479488\"]\n  40 [size=\"45960533\", alpha=\"0.11\", expect_size=\"13788160\"] \n  41 [size=\"28129280\", alpha=\"0.20\", expect_size=\"8438784\"] \n  41 -> 45 [size =\"8438784\"]\n  42 [size=\"117548373\", alpha=\"0.13\", expect_size=\"35264512\"] \n  42 -> 45 [size =\"35264512\"]\n  43 [size=\"62474240\", alpha=\"0.10\", expect_size=\"18742272\"] \n  44 [size=\"151296000\", alpha=\"0.08\", expect_size=\"45388800\"] \n  45 [size=\"57480533\", alpha=\"0.20\", expect_size=\"17244160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15947776\", alpha=\"0.07\", expect_size=\"7973888\"] \n  1 -> 2 [size =\"7973888\"]\n  2 [size=\"74862592\", alpha=\"0.17\", expect_size=\"37431296\"] \n  2 -> 3 [size =\"37431296\"]\n  3 [size=\"46555136\", alpha=\"0.20\", expect_size=\"23277568\"] \n  3 -> 4 [size =\"23277568\"]\n  4 [size=\"74473472\", alpha=\"0.11\", expect_size=\"37236736\"] \n  4 -> 5 [size =\"37236736\"]\n  5 [size=\"39133184\", alpha=\"0.07\", expect_size=\"19566592\"] \n  5 -> 6 [size =\"19566592\"]\n  6 [size=\"15273984\", alpha=\"0.13\", expect_size=\"7636992\"] \n  6 -> 7 [size =\"7636992\"]\n  7 [size=\"95207424\", alpha=\"0.08\", expect_size=\"47603712\"] \n  7 -> 8 [size =\"47603712\"]\n  8 [size=\"53612544\", alpha=\"0.09\", expect_size=\"26806272\"] \n  8 -> 9 [size =\"26806272\"]\n  9 [size=\"47726592\", alpha=\"0.11\", expect_size=\"23863296\"] \n  9 -> 10 [size =\"23863296\"]\n  10 [size=\"71149568\", alpha=\"0.09\", expect_size=\"35574784\"] \n  10 -> 11 [size =\"35574784\"]\n  11 [size=\"69152768\", alpha=\"0.09\", expect_size=\"34576384\"] \n  11 -> 12 [size =\"34576384\"]\n  12 [size=\"103309312\", alpha=\"0.01\", expect_size=\"51654656\"] \n  12 -> 13 [size =\"51654656\"]\n  13 [size=\"90796032\", alpha=\"0.07\", expect_size=\"45398016\"] \n  13 -> 14 [size =\"45398016\"]\n  14 [size=\"89667584\", alpha=\"0.08\", expect_size=\"44833792\"] \n  14 -> 15 [size =\"44833792\"]\n  15 [size=\"47230976\", alpha=\"0.04\", expect_size=\"23615488\"] \n  15 -> 16 [size =\"23615488\"]\n  16 [size=\"81821696\", alpha=\"0.06\", expect_size=\"40910848\"] \n  16 -> 17 [size =\"40910848\"]\n  17 [size=\"49922048\", alpha=\"0.16\", expect_size=\"24961024\"] \n  17 -> 18 [size =\"24961024\"]\n  18 [size=\"89735168\", alpha=\"0.15\", expect_size=\"44867584\"] \n  18 -> 19 [size =\"44867584\"]\n  19 [size=\"38825984\", alpha=\"0.06\", expect_size=\"19412992\"] \n  19 -> 20 [size =\"19412992\"]\n  20 [size=\"89241600\", alpha=\"0.10\", expect_size=\"44620800\"] \n  20 -> 21 [size =\"44620800\"]\n  21 [size=\"38354944\", alpha=\"0.14\", expect_size=\"19177472\"] \n  21 -> 22 [size =\"19177472\"]\n  22 [size=\"79097856\", alpha=\"0.13\", expect_size=\"39548928\"] \n  22 -> 23 [size =\"39548928\"]\n  23 [size=\"85612544\", alpha=\"0.19\", expect_size=\"42806272\"] \n  23 -> 24 [size =\"42806272\"]\n  24 [size=\"24360960\", alpha=\"0.18\", expect_size=\"12180480\"] \n  24 -> 25 [size =\"12180480\"]\n  25 [size=\"63350784\", alpha=\"0.04\", expect_size=\"31675392\"] \n  25 -> 26 [size =\"31675392\"]\n  26 [size=\"83787776\", alpha=\"0.11\", expect_size=\"41893888\"] \n  26 -> 27 [size =\"41893888\"]\n  27 [size=\"16756736\", alpha=\"0.15\", expect_size=\"8378368\"] \n  27 -> 28 [size =\"8378368\"]\n  28 [size=\"90306560\", alpha=\"0.09\", expect_size=\"45153280\"] \n  28 -> 29 [size =\"45153280\"]\n  29 [size=\"68257792\", alpha=\"0.11\", expect_size=\"34128896\"] \n  29 -> 30 [size =\"34128896\"]\n  30 [size=\"97282048\", alpha=\"0.05\", expect_size=\"48641024\"] \n  30 -> 31 [size =\"48641024\"]\n  31 [size=\"48680960\", alpha=\"0.12\", expect_size=\"24340480\"] \n  31 -> 32 [size =\"24340480\"]\n  32 [size=\"22286336\", alpha=\"0.19\", expect_size=\"11143168\"] \n  32 -> 33 [size =\"11143168\"]\n  33 [size=\"82477056\", alpha=\"0.02\", expect_size=\"41238528\"] \n  33 -> 34 [size =\"41238528\"]\n  34 [size=\"76578816\", alpha=\"0.03\", expect_size=\"38289408\"] \n  34 -> 35 [size =\"38289408\"]\n  35 [size=\"68579328\", alpha=\"0.11\", expect_size=\"34289664\"] \n  35 -> 36 [size =\"34289664\"]\n  36 [size=\"87126016\", alpha=\"0.14\", expect_size=\"43563008\"] \n  36 -> 37 [size =\"43563008\"]\n  37 [size=\"42639360\", alpha=\"0.06\", expect_size=\"21319680\"] \n  37 -> 38 [size =\"21319680\"]\n  38 [size=\"19836928\", alpha=\"0.14\", expect_size=\"9918464\"] \n  38 -> 39 [size =\"9918464\"]\n  39 [size=\"61849600\", alpha=\"0.09\", expect_size=\"30924800\"] \n  39 -> 40 [size =\"30924800\"]\n  40 [size=\"17176576\", alpha=\"0.20\", expect_size=\"8588288\"] \n  40 -> 41 [size =\"8588288\"]\n  41 [size=\"40851456\", alpha=\"0.17\", expect_size=\"20425728\"] \n  41 -> 42 [size =\"20425728\"]\n  42 [size=\"97173504\", alpha=\"0.08\", expect_size=\"48586752\"] \n  42 -> 43 [size =\"48586752\"]\n  43 [size=\"90222592\", alpha=\"0.16\", expect_size=\"45111296\"] \n  43 -> 44 [size =\"45111296\"]\n  44 [size=\"100311040\", alpha=\"0.06\", expect_size=\"50155520\"] \n  44 -> 45 [size =\"50155520\"]\n  45 [size=\"17876992\", alpha=\"0.08\", expect_size=\"8938496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77568000\", alpha=\"0.17\", expect_size=\"31027200\"] \n  2 [size=\"42117120\", alpha=\"0.11\", expect_size=\"16846848\"] \n  2 -> 3 [size =\"16846848\"]\n  2 -> 4 [size =\"16846848\"]\n  2 -> 5 [size =\"16846848\"]\n  3 [size=\"99376640\", alpha=\"0.11\", expect_size=\"39750656\"] \n  3 -> 6 [size =\"39750656\"]\n  3 -> 7 [size =\"39750656\"]\n  3 -> 8 [size =\"39750656\"]\n  4 [size=\"27617280\", alpha=\"0.07\", expect_size=\"11046912\"] \n  4 -> 8 [size =\"11046912\"]\n  5 [size=\"71055360\", alpha=\"0.06\", expect_size=\"28422144\"] \n  5 -> 7 [size =\"28422144\"]\n  6 [size=\"41594880\", alpha=\"0.07\", expect_size=\"16637952\"] \n  6 -> 9 [size =\"16637952\"]\n  7 [size=\"44019200\", alpha=\"0.17\", expect_size=\"17607680\"] \n  8 [size=\"122496000\", alpha=\"0.13\", expect_size=\"48998400\"] \n  8 -> 10 [size =\"48998400\"]\n  9 [size=\"52047360\", alpha=\"0.10\", expect_size=\"20818944\"] \n  9 -> 11 [size =\"20818944\"]\n  9 -> 12 [size =\"20818944\"]\n  10 [size=\"99351040\", alpha=\"0.04\", expect_size=\"39740416\"] \n  11 [size=\"57832960\", alpha=\"0.11\", expect_size=\"23133184\"] \n  11 -> 13 [size =\"23133184\"]\n  12 [size=\"38814720\", alpha=\"0.01\", expect_size=\"15525888\"] \n  12 -> 14 [size =\"15525888\"]\n  13 [size=\"101401600\", alpha=\"0.11\", expect_size=\"40560640\"] \n  13 -> 17 [size =\"40560640\"]\n  14 [size=\"46620160\", alpha=\"0.01\", expect_size=\"18648064\"] \n  14 -> 15 [size =\"18648064\"]\n  14 -> 16 [size =\"18648064\"]\n  15 [size=\"89438720\", alpha=\"0.14\", expect_size=\"35775488\"] \n  16 [size=\"123169280\", alpha=\"0.10\", expect_size=\"49267712\"] \n  17 [size=\"47969280\", alpha=\"0.06\", expect_size=\"19187712\"] \n  17 -> 18 [size =\"19187712\"]\n  17 -> 19 [size =\"19187712\"]\n  18 [size=\"27486720\", alpha=\"0.05\", expect_size=\"10994688\"] \n  18 -> 21 [size =\"10994688\"]\n  18 -> 22 [size =\"10994688\"]\n  19 [size=\"104197120\", alpha=\"0.18\", expect_size=\"41678848\"] \n  19 -> 20 [size =\"41678848\"]\n  20 [size=\"42588160\", alpha=\"0.09\", expect_size=\"17035264\"] \n  20 -> 24 [size =\"17035264\"]\n  21 [size=\"68052480\", alpha=\"0.12\", expect_size=\"27220992\"] \n  22 [size=\"13232640\", alpha=\"0.19\", expect_size=\"5293056\"] \n  22 -> 23 [size =\"5293056\"]\n  22 -> 24 [size =\"5293056\"]\n  23 [size=\"19120640\", alpha=\"0.02\", expect_size=\"7648256\"] \n  23 -> 25 [size =\"7648256\"]\n  23 -> 26 [size =\"7648256\"]\n  24 [size=\"84830720\", alpha=\"0.06\", expect_size=\"33932288\"] \n  24 -> 27 [size =\"33932288\"]\n  25 [size=\"89779200\", alpha=\"0.01\", expect_size=\"35911680\"] \n  25 -> 28 [size =\"35911680\"]\n  26 [size=\"56742400\", alpha=\"0.20\", expect_size=\"22696960\"] \n  26 -> 29 [size =\"22696960\"]\n  27 [size=\"115630080\", alpha=\"0.04\", expect_size=\"46252032\"] \n  27 -> 28 [size =\"46252032\"]\n  28 [size=\"30151680\", alpha=\"0.08\", expect_size=\"12060672\"] \n  29 [size=\"59816960\", alpha=\"0.17\", expect_size=\"23926784\"] \n  29 -> 30 [size =\"23926784\"]\n  29 -> 31 [size =\"23926784\"]\n  29 -> 32 [size =\"23926784\"]\n  30 [size=\"45437440\", alpha=\"0.01\", expect_size=\"18174976\"] \n  30 -> 33 [size =\"18174976\"]\n  30 -> 34 [size =\"18174976\"]\n  31 [size=\"100014080\", alpha=\"0.13\", expect_size=\"40005632\"] \n  32 [size=\"52083200\", alpha=\"0.10\", expect_size=\"20833280\"] \n  32 -> 33 [size =\"20833280\"]\n  32 -> 35 [size =\"20833280\"]\n  33 [size=\"48616960\", alpha=\"0.01\", expect_size=\"19446784\"] \n  34 [size=\"57922560\", alpha=\"0.18\", expect_size=\"23169024\"] \n  34 -> 37 [size =\"23169024\"]\n  35 [size=\"94512640\", alpha=\"0.08\", expect_size=\"37805056\"] \n  35 -> 36 [size =\"37805056\"]\n  36 [size=\"98370560\", alpha=\"0.16\", expect_size=\"39348224\"] \n  36 -> 40 [size =\"39348224\"]\n  37 [size=\"97984000\", alpha=\"0.10\", expect_size=\"39193600\"] \n  37 -> 38 [size =\"39193600\"]\n  37 -> 39 [size =\"39193600\"]\n  38 [size=\"124267520\", alpha=\"0.07\", expect_size=\"49707008\"] \n  38 -> 43 [size =\"49707008\"]\n  39 [size=\"50682880\", alpha=\"0.20\", expect_size=\"20273152\"] \n  39 -> 42 [size =\"20273152\"]\n  39 -> 43 [size =\"20273152\"]\n  40 [size=\"34135040\", alpha=\"0.17\", expect_size=\"13654016\"] \n  40 -> 41 [size =\"13654016\"]\n  40 -> 42 [size =\"13654016\"]\n  41 [size=\"42903040\", alpha=\"0.03\", expect_size=\"17161216\"] \n  42 [size=\"121717760\", alpha=\"0.10\", expect_size=\"48687104\"] \n  43 [size=\"60357120\", alpha=\"0.18\", expect_size=\"24142848\"] \n  43 -> 44 [size =\"24142848\"]\n  43 -> 45 [size =\"24142848\"]\n  44 [size=\"65082880\", alpha=\"0.17\", expect_size=\"26033152\"] \n  45 [size=\"51440640\", alpha=\"0.10\", expect_size=\"20576256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73557333\", alpha=\"0.09\", expect_size=\"22067200\"] \n  1 -> 33 [size =\"22067200\"]\n  1 -> 36 [size =\"22067200\"]\n  1 -> 40 [size =\"22067200\"]\n  1 -> 42 [size =\"22067200\"]\n  2 [size=\"90368000\", alpha=\"0.11\", expect_size=\"27110400\"] \n  2 -> 37 [size =\"27110400\"]\n  2 -> 40 [size =\"27110400\"]\n  2 -> 44 [size =\"27110400\"]\n  3 [size=\"139813547\", alpha=\"0.07\", expect_size=\"41944064\"] \n  3 -> 33 [size =\"41944064\"]\n  3 -> 40 [size =\"41944064\"]\n  4 [size=\"132072107\", alpha=\"0.09\", expect_size=\"39621632\"] \n  4 -> 36 [size =\"39621632\"]\n  4 -> 42 [size =\"39621632\"]\n  5 [size=\"156945067\", alpha=\"0.12\", expect_size=\"47083520\"] \n  5 -> 35 [size =\"47083520\"]\n  5 -> 42 [size =\"47083520\"]\n  5 -> 43 [size =\"47083520\"]\n  5 -> 44 [size =\"47083520\"]\n  6 [size=\"124392107\", alpha=\"0.03\", expect_size=\"37317632\"] \n  6 -> 40 [size =\"37317632\"]\n  6 -> 43 [size =\"37317632\"]\n  6 -> 44 [size =\"37317632\"]\n  7 [size=\"172800000\", alpha=\"0.09\", expect_size=\"51840000\"] \n  7 -> 40 [size =\"51840000\"]\n  7 -> 42 [size =\"51840000\"]\n  8 [size=\"139820373\", alpha=\"0.09\", expect_size=\"41946112\"] \n  8 -> 40 [size =\"41946112\"]\n  8 -> 42 [size =\"41946112\"]\n  8 -> 43 [size =\"41946112\"]\n  8 -> 45 [size =\"41946112\"]\n  9 [size=\"90060800\", alpha=\"0.14\", expect_size=\"27018240\"] \n  9 -> 43 [size =\"27018240\"]\n  9 -> 44 [size =\"27018240\"]\n  9 -> 45 [size =\"27018240\"]\n  10 [size=\"174544213\", alpha=\"0.12\", expect_size=\"52363264\"] \n  10 -> 34 [size =\"52363264\"]\n  10 -> 37 [size =\"52363264\"]\n  10 -> 39 [size =\"52363264\"]\n  10 -> 42 [size =\"52363264\"]\n  10 -> 43 [size =\"52363264\"]\n  10 -> 44 [size =\"52363264\"]\n  11 [size=\"135386453\", alpha=\"0.17\", expect_size=\"40615936\"] \n  11 -> 42 [size =\"40615936\"]\n  11 -> 43 [size =\"40615936\"]\n  11 -> 44 [size =\"40615936\"]\n  12 [size=\"48414720\", alpha=\"0.11\", expect_size=\"14524416\"] \n  12 -> 42 [size =\"14524416\"]\n  12 -> 44 [size =\"14524416\"]\n  13 [size=\"135994027\", alpha=\"0.19\", expect_size=\"40798208\"] \n  13 -> 36 [size =\"40798208\"]\n  13 -> 44 [size =\"40798208\"]\n  14 [size=\"33191253\", alpha=\"0.18\", expect_size=\"9957376\"] \n  14 -> 35 [size =\"9957376\"]\n  15 [size=\"101649067\", alpha=\"0.05\", expect_size=\"30494720\"] \n  15 -> 37 [size =\"30494720\"]\n  15 -> 44 [size =\"30494720\"]\n  16 [size=\"39755093\", alpha=\"0.14\", expect_size=\"11926528\"] \n  16 -> 40 [size =\"11926528\"]\n  16 -> 43 [size =\"11926528\"]\n  17 [size=\"63228587\", alpha=\"0.11\", expect_size=\"18968576\"] \n  17 -> 34 [size =\"18968576\"]\n  17 -> 35 [size =\"18968576\"]\n  17 -> 39 [size =\"18968576\"]\n  17 -> 40 [size =\"18968576\"]\n  17 -> 43 [size =\"18968576\"]\n  18 [size=\"130474667\", alpha=\"0.05\", expect_size=\"39142400\"] \n  18 -> 40 [size =\"39142400\"]\n  18 -> 42 [size =\"39142400\"]\n  18 -> 44 [size =\"39142400\"]\n  18 -> 45 [size =\"39142400\"]\n  19 [size=\"47800320\", alpha=\"0.05\", expect_size=\"14340096\"] \n  19 -> 39 [size =\"14340096\"]\n  19 -> 43 [size =\"14340096\"]\n  19 -> 44 [size =\"14340096\"]\n  20 [size=\"154770773\", alpha=\"0.10\", expect_size=\"46431232\"] \n  20 -> 36 [size =\"46431232\"]\n  20 -> 38 [size =\"46431232\"]\n  20 -> 39 [size =\"46431232\"]\n  20 -> 42 [size =\"46431232\"]\n  20 -> 45 [size =\"46431232\"]\n  21 [size=\"90531840\", alpha=\"0.02\", expect_size=\"27159552\"] \n  21 -> 37 [size =\"27159552\"]\n  21 -> 40 [size =\"27159552\"]\n  21 -> 43 [size =\"27159552\"]\n  21 -> 44 [size =\"27159552\"]\n  22 [size=\"64570027\", alpha=\"0.03\", expect_size=\"19371008\"] \n  22 -> 40 [size =\"19371008\"]\n  22 -> 43 [size =\"19371008\"]\n  22 -> 44 [size =\"19371008\"]\n  22 -> 45 [size =\"19371008\"]\n  23 [size=\"152026453\", alpha=\"0.19\", expect_size=\"45607936\"] \n  23 -> 37 [size =\"45607936\"]\n  23 -> 43 [size =\"45607936\"]\n  23 -> 45 [size =\"45607936\"]\n  24 [size=\"140646400\", alpha=\"0.10\", expect_size=\"42193920\"] \n  24 -> 37 [size =\"42193920\"]\n  24 -> 40 [size =\"42193920\"]\n  24 -> 42 [size =\"42193920\"]\n  25 [size=\"122320213\", alpha=\"0.19\", expect_size=\"36696064\"] \n  25 -> 37 [size =\"36696064\"]\n  25 -> 41 [size =\"36696064\"]\n  25 -> 43 [size =\"36696064\"]\n  25 -> 45 [size =\"36696064\"]\n  26 [size=\"163809280\", alpha=\"0.02\", expect_size=\"49142784\"] \n  26 -> 37 [size =\"49142784\"]\n  26 -> 38 [size =\"49142784\"]\n  26 -> 40 [size =\"49142784\"]\n  26 -> 42 [size =\"49142784\"]\n  26 -> 43 [size =\"49142784\"]\n  26 -> 45 [size =\"49142784\"]\n  27 [size=\"116660907\", alpha=\"0.04\", expect_size=\"34998272\"] \n  27 -> 37 [size =\"34998272\"]\n  27 -> 43 [size =\"34998272\"]\n  27 -> 45 [size =\"34998272\"]\n  28 [size=\"47257600\", alpha=\"0.02\", expect_size=\"14177280\"] \n  28 -> 34 [size =\"14177280\"]\n  28 -> 36 [size =\"14177280\"]\n  28 -> 37 [size =\"14177280\"]\n  28 -> 43 [size =\"14177280\"]\n  28 -> 44 [size =\"14177280\"]\n  28 -> 45 [size =\"14177280\"]\n  29 [size=\"87214080\", alpha=\"0.09\", expect_size=\"26164224\"] \n  29 -> 34 [size =\"26164224\"]\n  29 -> 36 [size =\"26164224\"]\n  29 -> 37 [size =\"26164224\"]\n  29 -> 42 [size =\"26164224\"]\n  29 -> 44 [size =\"26164224\"]\n  29 -> 45 [size =\"26164224\"]\n  30 [size=\"130242560\", alpha=\"0.16\", expect_size=\"39072768\"] \n  30 -> 34 [size =\"39072768\"]\n  30 -> 37 [size =\"39072768\"]\n  30 -> 44 [size =\"39072768\"]\n  30 -> 45 [size =\"39072768\"]\n  31 [size=\"52111360\", alpha=\"0.18\", expect_size=\"15633408\"] \n  31 -> 42 [size =\"15633408\"]\n  32 [size=\"66187947\", alpha=\"0.04\", expect_size=\"19856384\"] \n  32 -> 42 [size =\"19856384\"]\n  33 [size=\"88084480\", alpha=\"0.04\", expect_size=\"26425344\"] \n  34 [size=\"82851840\", alpha=\"0.07\", expect_size=\"24855552\"] \n  35 [size=\"165089280\", alpha=\"0.01\", expect_size=\"49526784\"] \n  36 [size=\"159689387\", alpha=\"0.18\", expect_size=\"47906816\"] \n  37 [size=\"173574827\", alpha=\"0.20\", expect_size=\"52072448\"] \n  38 [size=\"47499947\", alpha=\"0.17\", expect_size=\"14249984\"] \n  39 [size=\"61088427\", alpha=\"0.17\", expect_size=\"18326528\"] \n  40 [size=\"129648640\", alpha=\"0.15\", expect_size=\"38894592\"] \n  41 [size=\"95675733\", alpha=\"0.02\", expect_size=\"28702720\"] \n  42 [size=\"77076480\", alpha=\"0.16\", expect_size=\"23122944\"] \n  43 [size=\"104796160\", alpha=\"0.06\", expect_size=\"31438848\"] \n  44 [size=\"140069547\", alpha=\"0.12\", expect_size=\"42020864\"] \n  45 [size=\"41325227\", alpha=\"0.11\", expect_size=\"12397568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22256640\", alpha=\"0.09\", expect_size=\"8902656\"] \n  1 -> 2 [size =\"8902656\"]\n  2 [size=\"104261120\", alpha=\"0.19\", expect_size=\"41704448\"] \n  2 -> 3 [size =\"41704448\"]\n  3 [size=\"59028480\", alpha=\"0.15\", expect_size=\"23611392\"] \n  3 -> 4 [size =\"23611392\"]\n  4 [size=\"59194880\", alpha=\"0.03\", expect_size=\"23677952\"] \n  4 -> 5 [size =\"23677952\"]\n  5 [size=\"42539520\", alpha=\"0.10\", expect_size=\"17015808\"] \n  5 -> 6 [size =\"17015808\"]\n  6 [size=\"54330880\", alpha=\"0.20\", expect_size=\"21732352\"] \n  6 -> 7 [size =\"21732352\"]\n  7 [size=\"15677440\", alpha=\"0.07\", expect_size=\"6270976\"] \n  7 -> 8 [size =\"6270976\"]\n  8 [size=\"72514560\", alpha=\"0.12\", expect_size=\"29005824\"] \n  8 -> 9 [size =\"29005824\"]\n  9 [size=\"27937280\", alpha=\"0.09\", expect_size=\"11174912\"] \n  9 -> 10 [size =\"11174912\"]\n  10 [size=\"25556480\", alpha=\"0.10\", expect_size=\"10222592\"] \n  10 -> 11 [size =\"10222592\"]\n  11 [size=\"85688320\", alpha=\"0.18\", expect_size=\"34275328\"] \n  11 -> 12 [size =\"34275328\"]\n  12 [size=\"23068160\", alpha=\"0.01\", expect_size=\"9227264\"] \n  12 -> 13 [size =\"9227264\"]\n  13 [size=\"14824960\", alpha=\"0.14\", expect_size=\"5929984\"] \n  13 -> 14 [size =\"5929984\"]\n  14 [size=\"103224320\", alpha=\"0.09\", expect_size=\"41289728\"] \n  14 -> 15 [size =\"41289728\"]\n  15 [size=\"122818560\", alpha=\"0.13\", expect_size=\"49127424\"] \n  15 -> 16 [size =\"49127424\"]\n  16 [size=\"65285120\", alpha=\"0.15\", expect_size=\"26114048\"] \n  16 -> 17 [size =\"26114048\"]\n  17 [size=\"63313920\", alpha=\"0.05\", expect_size=\"25325568\"] \n  17 -> 18 [size =\"25325568\"]\n  18 [size=\"102699520\", alpha=\"0.11\", expect_size=\"41079808\"] \n  18 -> 19 [size =\"41079808\"]\n  19 [size=\"58188800\", alpha=\"0.10\", expect_size=\"23275520\"] \n  19 -> 20 [size =\"23275520\"]\n  20 [size=\"110876160\", alpha=\"0.04\", expect_size=\"44350464\"] \n  20 -> 21 [size =\"44350464\"]\n  21 [size=\"54479360\", alpha=\"0.19\", expect_size=\"21791744\"] \n  21 -> 22 [size =\"21791744\"]\n  22 [size=\"41280000\", alpha=\"0.10\", expect_size=\"16512000\"] \n  22 -> 23 [size =\"16512000\"]\n  23 [size=\"49154560\", alpha=\"0.08\", expect_size=\"19661824\"] \n  23 -> 24 [size =\"19661824\"]\n  24 [size=\"13731840\", alpha=\"0.14\", expect_size=\"5492736\"] \n  24 -> 25 [size =\"5492736\"]\n  25 [size=\"69373440\", alpha=\"0.06\", expect_size=\"27749376\"] \n  25 -> 26 [size =\"27749376\"]\n  26 [size=\"26352640\", alpha=\"0.04\", expect_size=\"10541056\"] \n  26 -> 27 [size =\"10541056\"]\n  27 [size=\"113364480\", alpha=\"0.03\", expect_size=\"45345792\"] \n  27 -> 28 [size =\"45345792\"]\n  28 [size=\"23144960\", alpha=\"0.12\", expect_size=\"9257984\"] \n  28 -> 29 [size =\"9257984\"]\n  29 [size=\"85306880\", alpha=\"0.03\", expect_size=\"34122752\"] \n  29 -> 30 [size =\"34122752\"]\n  30 [size=\"25623040\", alpha=\"0.16\", expect_size=\"10249216\"] \n  30 -> 31 [size =\"10249216\"]\n  31 [size=\"46827520\", alpha=\"0.02\", expect_size=\"18731008\"] \n  31 -> 32 [size =\"18731008\"]\n  32 [size=\"40102400\", alpha=\"0.09\", expect_size=\"16040960\"] \n  32 -> 33 [size =\"16040960\"]\n  33 [size=\"96606720\", alpha=\"0.17\", expect_size=\"38642688\"] \n  33 -> 34 [size =\"38642688\"]\n  34 [size=\"26332160\", alpha=\"0.00\", expect_size=\"10532864\"] \n  34 -> 35 [size =\"10532864\"]\n  35 [size=\"111296000\", alpha=\"0.02\", expect_size=\"44518400\"] \n  35 -> 36 [size =\"44518400\"]\n  36 [size=\"27033600\", alpha=\"0.12\", expect_size=\"10813440\"] \n  36 -> 37 [size =\"10813440\"]\n  37 [size=\"50705920\", alpha=\"0.11\", expect_size=\"20282368\"] \n  37 -> 38 [size =\"20282368\"]\n  38 [size=\"66913280\", alpha=\"0.05\", expect_size=\"26765312\"] \n  38 -> 39 [size =\"26765312\"]\n  39 [size=\"17103360\", alpha=\"0.07\", expect_size=\"6841344\"] \n  39 -> 40 [size =\"6841344\"]\n  40 [size=\"34071040\", alpha=\"0.06\", expect_size=\"13628416\"] \n  40 -> 41 [size =\"13628416\"]\n  41 [size=\"130268160\", alpha=\"0.11\", expect_size=\"52107264\"] \n  41 -> 42 [size =\"52107264\"]\n  42 [size=\"24384000\", alpha=\"0.01\", expect_size=\"9753600\"] \n  42 -> 43 [size =\"9753600\"]\n  43 [size=\"80273920\", alpha=\"0.17\", expect_size=\"32109568\"] \n  43 -> 44 [size =\"32109568\"]\n  44 [size=\"63731200\", alpha=\"0.14\", expect_size=\"25492480\"] \n  44 -> 45 [size =\"25492480\"]\n  45 [size=\"64870400\", alpha=\"0.20\", expect_size=\"25948160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16732160\", alpha=\"0.14\", expect_size=\"8366080\"] \n  1 -> 33 [size =\"8366080\"]\n  1 -> 35 [size =\"8366080\"]\n  1 -> 36 [size =\"8366080\"]\n  1 -> 37 [size =\"8366080\"]\n  1 -> 38 [size =\"8366080\"]\n  1 -> 40 [size =\"8366080\"]\n  1 -> 44 [size =\"8366080\"]\n  2 [size=\"90281984\", alpha=\"0.15\", expect_size=\"45140992\"] \n  2 -> 33 [size =\"45140992\"]\n  2 -> 36 [size =\"45140992\"]\n  2 -> 37 [size =\"45140992\"]\n  2 -> 38 [size =\"45140992\"]\n  2 -> 40 [size =\"45140992\"]\n  2 -> 41 [size =\"45140992\"]\n  2 -> 45 [size =\"45140992\"]\n  3 [size=\"57513984\", alpha=\"0.18\", expect_size=\"28756992\"] \n  3 -> 33 [size =\"28756992\"]\n  3 -> 35 [size =\"28756992\"]\n  3 -> 41 [size =\"28756992\"]\n  3 -> 42 [size =\"28756992\"]\n  3 -> 44 [size =\"28756992\"]\n  3 -> 45 [size =\"28756992\"]\n  4 [size=\"45819904\", alpha=\"0.13\", expect_size=\"22909952\"] \n  4 -> 33 [size =\"22909952\"]\n  4 -> 34 [size =\"22909952\"]\n  4 -> 38 [size =\"22909952\"]\n  4 -> 41 [size =\"22909952\"]\n  4 -> 45 [size =\"22909952\"]\n  5 [size=\"43612160\", alpha=\"0.07\", expect_size=\"21806080\"] \n  5 -> 34 [size =\"21806080\"]\n  5 -> 35 [size =\"21806080\"]\n  5 -> 36 [size =\"21806080\"]\n  5 -> 40 [size =\"21806080\"]\n  5 -> 41 [size =\"21806080\"]\n  6 [size=\"32589824\", alpha=\"0.06\", expect_size=\"16294912\"] \n  6 -> 33 [size =\"16294912\"]\n  6 -> 34 [size =\"16294912\"]\n  6 -> 37 [size =\"16294912\"]\n  6 -> 38 [size =\"16294912\"]\n  6 -> 40 [size =\"16294912\"]\n  6 -> 45 [size =\"16294912\"]\n  7 [size=\"83509248\", alpha=\"0.05\", expect_size=\"41754624\"] \n  7 -> 33 [size =\"41754624\"]\n  7 -> 37 [size =\"41754624\"]\n  7 -> 37 [size =\"41754624\"]\n  7 -> 39 [size =\"41754624\"]\n  7 -> 40 [size =\"41754624\"]\n  7 -> 44 [size =\"41754624\"]\n  7 -> 45 [size =\"41754624\"]\n  8 [size=\"34875392\", alpha=\"0.08\", expect_size=\"17437696\"] \n  8 -> 34 [size =\"17437696\"]\n  8 -> 35 [size =\"17437696\"]\n  8 -> 38 [size =\"17437696\"]\n  8 -> 40 [size =\"17437696\"]\n  8 -> 41 [size =\"17437696\"]\n  8 -> 44 [size =\"17437696\"]\n  8 -> 45 [size =\"17437696\"]\n  9 [size=\"38400000\", alpha=\"0.11\", expect_size=\"19200000\"] \n  9 -> 34 [size =\"19200000\"]\n  9 -> 45 [size =\"19200000\"]\n  10 [size=\"33906688\", alpha=\"0.08\", expect_size=\"16953344\"] \n  10 -> 34 [size =\"16953344\"]\n  10 -> 35 [size =\"16953344\"]\n  10 -> 37 [size =\"16953344\"]\n  10 -> 39 [size =\"16953344\"]\n  10 -> 41 [size =\"16953344\"]\n  10 -> 44 [size =\"16953344\"]\n  11 [size=\"24664064\", alpha=\"0.18\", expect_size=\"12332032\"] \n  11 -> 37 [size =\"12332032\"]\n  11 -> 39 [size =\"12332032\"]\n  11 -> 40 [size =\"12332032\"]\n  11 -> 42 [size =\"12332032\"]\n  12 [size=\"88991744\", alpha=\"0.12\", expect_size=\"44495872\"] \n  12 -> 33 [size =\"44495872\"]\n  12 -> 34 [size =\"44495872\"]\n  12 -> 35 [size =\"44495872\"]\n  12 -> 37 [size =\"44495872\"]\n  12 -> 40 [size =\"44495872\"]\n  12 -> 45 [size =\"44495872\"]\n  13 [size=\"63991808\", alpha=\"0.16\", expect_size=\"31995904\"] \n  13 -> 33 [size =\"31995904\"]\n  13 -> 34 [size =\"31995904\"]\n  13 -> 35 [size =\"31995904\"]\n  13 -> 36 [size =\"31995904\"]\n  13 -> 37 [size =\"31995904\"]\n  13 -> 39 [size =\"31995904\"]\n  14 [size=\"52865024\", alpha=\"0.17\", expect_size=\"26432512\"] \n  14 -> 34 [size =\"26432512\"]\n  14 -> 34 [size =\"26432512\"]\n  14 -> 37 [size =\"26432512\"]\n  14 -> 39 [size =\"26432512\"]\n  14 -> 40 [size =\"26432512\"]\n  14 -> 41 [size =\"26432512\"]\n  14 -> 42 [size =\"26432512\"]\n  15 [size=\"18872320\", alpha=\"0.01\", expect_size=\"9436160\"] \n  15 -> 33 [size =\"9436160\"]\n  15 -> 37 [size =\"9436160\"]\n  15 -> 37 [size =\"9436160\"]\n  15 -> 39 [size =\"9436160\"]\n  15 -> 41 [size =\"9436160\"]\n  16 [size=\"50012160\", alpha=\"0.05\", expect_size=\"25006080\"] \n  16 -> 35 [size =\"25006080\"]\n  16 -> 39 [size =\"25006080\"]\n  16 -> 42 [size =\"25006080\"]\n  17 [size=\"77682688\", alpha=\"0.07\", expect_size=\"38841344\"] \n  17 -> 35 [size =\"38841344\"]\n  17 -> 37 [size =\"38841344\"]\n  17 -> 38 [size =\"38841344\"]\n  17 -> 39 [size =\"38841344\"]\n  18 [size=\"99850240\", alpha=\"0.19\", expect_size=\"49925120\"] \n  18 -> 33 [size =\"49925120\"]\n  18 -> 37 [size =\"49925120\"]\n  18 -> 39 [size =\"49925120\"]\n  18 -> 42 [size =\"49925120\"]\n  18 -> 45 [size =\"49925120\"]\n  19 [size=\"42008576\", alpha=\"0.05\", expect_size=\"21004288\"] \n  19 -> 33 [size =\"21004288\"]\n  19 -> 35 [size =\"21004288\"]\n  19 -> 37 [size =\"21004288\"]\n  19 -> 39 [size =\"21004288\"]\n  19 -> 41 [size =\"21004288\"]\n  19 -> 42 [size =\"21004288\"]\n  19 -> 45 [size =\"21004288\"]\n  20 [size=\"93440000\", alpha=\"0.09\", expect_size=\"46720000\"] \n  20 -> 33 [size =\"46720000\"]\n  20 -> 34 [size =\"46720000\"]\n  20 -> 39 [size =\"46720000\"]\n  20 -> 39 [size =\"46720000\"]\n  20 -> 42 [size =\"46720000\"]\n  20 -> 45 [size =\"46720000\"]\n  20 -> 45 [size =\"46720000\"]\n  21 [size=\"35782656\", alpha=\"0.14\", expect_size=\"17891328\"] \n  21 -> 34 [size =\"17891328\"]\n  21 -> 37 [size =\"17891328\"]\n  21 -> 39 [size =\"17891328\"]\n  21 -> 42 [size =\"17891328\"]\n  21 -> 45 [size =\"17891328\"]\n  22 [size=\"27453440\", alpha=\"0.16\", expect_size=\"13726720\"] \n  22 -> 34 [size =\"13726720\"]\n  22 -> 35 [size =\"13726720\"]\n  22 -> 37 [size =\"13726720\"]\n  22 -> 39 [size =\"13726720\"]\n  22 -> 42 [size =\"13726720\"]\n  22 -> 44 [size =\"13726720\"]\n  23 [size=\"81780736\", alpha=\"0.08\", expect_size=\"40890368\"] \n  23 -> 33 [size =\"40890368\"]\n  23 -> 34 [size =\"40890368\"]\n  23 -> 39 [size =\"40890368\"]\n  23 -> 42 [size =\"40890368\"]\n  23 -> 42 [size =\"40890368\"]\n  23 -> 44 [size =\"40890368\"]\n  23 -> 45 [size =\"40890368\"]\n  24 [size=\"61446144\", alpha=\"0.07\", expect_size=\"30723072\"] \n  24 -> 33 [size =\"30723072\"]\n  24 -> 38 [size =\"30723072\"]\n  24 -> 39 [size =\"30723072\"]\n  24 -> 42 [size =\"30723072\"]\n  24 -> 45 [size =\"30723072\"]\n  25 [size=\"46718976\", alpha=\"0.14\", expect_size=\"23359488\"] \n  25 -> 33 [size =\"23359488\"]\n  25 -> 36 [size =\"23359488\"]\n  25 -> 38 [size =\"23359488\"]\n  25 -> 39 [size =\"23359488\"]\n  25 -> 42 [size =\"23359488\"]\n  25 -> 44 [size =\"23359488\"]\n  25 -> 45 [size =\"23359488\"]\n  26 [size=\"52463616\", alpha=\"0.05\", expect_size=\"26231808\"] \n  26 -> 33 [size =\"26231808\"]\n  26 -> 37 [size =\"26231808\"]\n  26 -> 38 [size =\"26231808\"]\n  26 -> 39 [size =\"26231808\"]\n  26 -> 45 [size =\"26231808\"]\n  27 [size=\"77768704\", alpha=\"0.12\", expect_size=\"38884352\"] \n  27 -> 33 [size =\"38884352\"]\n  27 -> 35 [size =\"38884352\"]\n  27 -> 37 [size =\"38884352\"]\n  27 -> 38 [size =\"38884352\"]\n  27 -> 39 [size =\"38884352\"]\n  27 -> 41 [size =\"38884352\"]\n  27 -> 42 [size =\"38884352\"]\n  28 [size=\"15601664\", alpha=\"0.04\", expect_size=\"7800832\"] \n  28 -> 34 [size =\"7800832\"]\n  28 -> 38 [size =\"7800832\"]\n  28 -> 42 [size =\"7800832\"]\n  29 [size=\"11102208\", alpha=\"0.01\", expect_size=\"5551104\"] \n  29 -> 34 [size =\"5551104\"]\n  29 -> 42 [size =\"5551104\"]\n  29 -> 42 [size =\"5551104\"]\n  29 -> 45 [size =\"5551104\"]\n  30 [size=\"34762752\", alpha=\"0.04\", expect_size=\"17381376\"] \n  30 -> 33 [size =\"17381376\"]\n  30 -> 39 [size =\"17381376\"]\n  30 -> 40 [size =\"17381376\"]\n  30 -> 43 [size =\"17381376\"]\n  30 -> 45 [size =\"17381376\"]\n  31 [size=\"76353536\", alpha=\"0.10\", expect_size=\"38176768\"] \n  31 -> 34 [size =\"38176768\"]\n  31 -> 36 [size =\"38176768\"]\n  31 -> 37 [size =\"38176768\"]\n  31 -> 38 [size =\"38176768\"]\n  31 -> 39 [size =\"38176768\"]\n  31 -> 40 [size =\"38176768\"]\n  31 -> 45 [size =\"38176768\"]\n  32 [size=\"47749120\", alpha=\"0.12\", expect_size=\"23874560\"] \n  32 -> 33 [size =\"23874560\"]\n  32 -> 37 [size =\"23874560\"]\n  32 -> 39 [size =\"23874560\"]\n  32 -> 41 [size =\"23874560\"]\n  32 -> 44 [size =\"23874560\"]\n  32 -> 45 [size =\"23874560\"]\n  33 [size=\"28747776\", alpha=\"0.06\", expect_size=\"14373888\"] \n  34 [size=\"66377728\", alpha=\"0.09\", expect_size=\"33188864\"] \n  35 [size=\"101603328\", alpha=\"0.13\", expect_size=\"50801664\"] \n  36 [size=\"73179136\", alpha=\"0.06\", expect_size=\"36589568\"] \n  37 [size=\"97579008\", alpha=\"0.13\", expect_size=\"48789504\"] \n  38 [size=\"59088896\", alpha=\"0.19\", expect_size=\"29544448\"] \n  39 [size=\"76466176\", alpha=\"0.12\", expect_size=\"38233088\"] \n  40 [size=\"83257344\", alpha=\"0.02\", expect_size=\"41628672\"] \n  41 [size=\"102883328\", alpha=\"0.18\", expect_size=\"51441664\"] \n  42 [size=\"55152640\", alpha=\"0.17\", expect_size=\"27576320\"] \n  43 [size=\"18571264\", alpha=\"0.11\", expect_size=\"9285632\"] \n  44 [size=\"46645248\", alpha=\"0.16\", expect_size=\"23322624\"] \n  45 [size=\"87382016\", alpha=\"0.09\", expect_size=\"43691008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46850048\", alpha=\"0.14\", expect_size=\"23425024\"] \n  1 -> 7 [size =\"23425024\"]\n  1 -> 8 [size =\"23425024\"]\n  1 -> 10 [size =\"23425024\"]\n  1 -> 11 [size =\"23425024\"]\n  2 [size=\"92651520\", alpha=\"0.17\", expect_size=\"46325760\"] \n  2 -> 7 [size =\"46325760\"]\n  2 -> 8 [size =\"46325760\"]\n  2 -> 9 [size =\"46325760\"]\n  2 -> 10 [size =\"46325760\"]\n  3 [size=\"24328192\", alpha=\"0.16\", expect_size=\"12164096\"] \n  3 -> 9 [size =\"12164096\"]\n  4 [size=\"20541440\", alpha=\"0.19\", expect_size=\"10270720\"] \n  4 -> 7 [size =\"10270720\"]\n  5 [size=\"76290048\", alpha=\"0.10\", expect_size=\"38145024\"] \n  5 -> 7 [size =\"38145024\"]\n  5 -> 11 [size =\"38145024\"]\n  6 [size=\"18919424\", alpha=\"0.05\", expect_size=\"9459712\"] \n  6 -> 8 [size =\"9459712\"]\n  6 -> 10 [size =\"9459712\"]\n  7 [size=\"77740032\", alpha=\"0.08\", expect_size=\"38870016\"] \n  7 -> 12 [size =\"38870016\"]\n  7 -> 13 [size =\"38870016\"]\n  7 -> 14 [size =\"38870016\"]\n  8 [size=\"52975616\", alpha=\"0.13\", expect_size=\"26487808\"] \n  8 -> 12 [size =\"26487808\"]\n  8 -> 14 [size =\"26487808\"]\n  8 -> 15 [size =\"26487808\"]\n  9 [size=\"69718016\", alpha=\"0.14\", expect_size=\"34859008\"] \n  9 -> 15 [size =\"34859008\"]\n  10 [size=\"97495040\", alpha=\"0.01\", expect_size=\"48747520\"] \n  10 -> 12 [size =\"48747520\"]\n  10 -> 14 [size =\"48747520\"]\n  11 [size=\"61433856\", alpha=\"0.19\", expect_size=\"30716928\"] \n  11 -> 12 [size =\"30716928\"]\n  11 -> 14 [size =\"30716928\"]\n  11 -> 15 [size =\"30716928\"]\n  12 [size=\"33923072\", alpha=\"0.04\", expect_size=\"16961536\"] \n  12 -> 18 [size =\"16961536\"]\n  12 -> 19 [size =\"16961536\"]\n  13 [size=\"19435520\", alpha=\"0.08\", expect_size=\"9717760\"] \n  13 -> 17 [size =\"9717760\"]\n  13 -> 18 [size =\"9717760\"]\n  13 -> 19 [size =\"9717760\"]\n  13 -> 20 [size =\"9717760\"]\n  14 [size=\"92798976\", alpha=\"0.10\", expect_size=\"46399488\"] \n  14 -> 17 [size =\"46399488\"]\n  14 -> 20 [size =\"46399488\"]\n  15 [size=\"86751232\", alpha=\"0.04\", expect_size=\"43375616\"] \n  15 -> 16 [size =\"43375616\"]\n  15 -> 17 [size =\"43375616\"]\n  15 -> 18 [size =\"43375616\"]\n  15 -> 19 [size =\"43375616\"]\n  15 -> 21 [size =\"43375616\"]\n  16 [size=\"41578496\", alpha=\"0.01\", expect_size=\"20789248\"] \n  16 -> 22 [size =\"20789248\"]\n  16 -> 24 [size =\"20789248\"]\n  17 [size=\"64206848\", alpha=\"0.16\", expect_size=\"32103424\"] \n  17 -> 25 [size =\"32103424\"]\n  18 [size=\"102402048\", alpha=\"0.02\", expect_size=\"51201024\"] \n  18 -> 22 [size =\"51201024\"]\n  18 -> 23 [size =\"51201024\"]\n  18 -> 24 [size =\"51201024\"]\n  19 [size=\"68253696\", alpha=\"0.02\", expect_size=\"34126848\"] \n  19 -> 22 [size =\"34126848\"]\n  19 -> 23 [size =\"34126848\"]\n  19 -> 24 [size =\"34126848\"]\n  20 [size=\"39364608\", alpha=\"0.09\", expect_size=\"19682304\"] \n  20 -> 23 [size =\"19682304\"]\n  20 -> 24 [size =\"19682304\"]\n  21 [size=\"41828352\", alpha=\"0.05\", expect_size=\"20914176\"] \n  22 [size=\"35733504\", alpha=\"0.17\", expect_size=\"17866752\"] \n  22 -> 28 [size =\"17866752\"]\n  22 -> 29 [size =\"17866752\"]\n  22 -> 30 [size =\"17866752\"]\n  23 [size=\"53522432\", alpha=\"0.13\", expect_size=\"26761216\"] \n  23 -> 26 [size =\"26761216\"]\n  23 -> 27 [size =\"26761216\"]\n  24 [size=\"90617856\", alpha=\"0.11\", expect_size=\"45308928\"] \n  24 -> 27 [size =\"45308928\"]\n  24 -> 28 [size =\"45308928\"]\n  24 -> 30 [size =\"45308928\"]\n  25 [size=\"45639680\", alpha=\"0.02\", expect_size=\"22819840\"] \n  25 -> 27 [size =\"22819840\"]\n  25 -> 28 [size =\"22819840\"]\n  25 -> 29 [size =\"22819840\"]\n  25 -> 30 [size =\"22819840\"]\n  26 [size=\"62601216\", alpha=\"0.16\", expect_size=\"31300608\"] \n  26 -> 31 [size =\"31300608\"]\n  26 -> 32 [size =\"31300608\"]\n  26 -> 33 [size =\"31300608\"]\n  26 -> 34 [size =\"31300608\"]\n  26 -> 35 [size =\"31300608\"]\n  27 [size=\"66762752\", alpha=\"0.03\", expect_size=\"33381376\"] \n  27 -> 33 [size =\"33381376\"]\n  27 -> 34 [size =\"33381376\"]\n  27 -> 35 [size =\"33381376\"]\n  28 [size=\"47532032\", alpha=\"0.00\", expect_size=\"23766016\"] \n  28 -> 31 [size =\"23766016\"]\n  28 -> 32 [size =\"23766016\"]\n  28 -> 34 [size =\"23766016\"]\n  28 -> 35 [size =\"23766016\"]\n  29 [size=\"58212352\", alpha=\"0.09\", expect_size=\"29106176\"] \n  29 -> 31 [size =\"29106176\"]\n  29 -> 32 [size =\"29106176\"]\n  29 -> 33 [size =\"29106176\"]\n  30 [size=\"67452928\", alpha=\"0.17\", expect_size=\"33726464\"] \n  30 -> 34 [size =\"33726464\"]\n  31 [size=\"17858560\", alpha=\"0.16\", expect_size=\"8929280\"] \n  31 -> 37 [size =\"8929280\"]\n  31 -> 38 [size =\"8929280\"]\n  31 -> 39 [size =\"8929280\"]\n  31 -> 40 [size =\"8929280\"]\n  32 [size=\"40163328\", alpha=\"0.19\", expect_size=\"20081664\"] \n  32 -> 37 [size =\"20081664\"]\n  32 -> 38 [size =\"20081664\"]\n  32 -> 39 [size =\"20081664\"]\n  33 [size=\"27795456\", alpha=\"0.04\", expect_size=\"13897728\"] \n  33 -> 37 [size =\"13897728\"]\n  34 [size=\"88967168\", alpha=\"0.07\", expect_size=\"44483584\"] \n  34 -> 38 [size =\"44483584\"]\n  35 [size=\"44990464\", alpha=\"0.06\", expect_size=\"22495232\"] \n  35 -> 36 [size =\"22495232\"]\n  35 -> 37 [size =\"22495232\"]\n  35 -> 38 [size =\"22495232\"]\n  35 -> 39 [size =\"22495232\"]\n  35 -> 40 [size =\"22495232\"]\n  36 [size=\"56045568\", alpha=\"0.12\", expect_size=\"28022784\"] \n  36 -> 42 [size =\"28022784\"]\n  36 -> 45 [size =\"28022784\"]\n  37 [size=\"36194304\", alpha=\"0.09\", expect_size=\"18097152\"] \n  37 -> 44 [size =\"18097152\"]\n  37 -> 45 [size =\"18097152\"]\n  38 [size=\"52690944\", alpha=\"0.05\", expect_size=\"26345472\"] \n  38 -> 41 [size =\"26345472\"]\n  38 -> 44 [size =\"26345472\"]\n  38 -> 45 [size =\"26345472\"]\n  39 [size=\"53653504\", alpha=\"0.14\", expect_size=\"26826752\"] \n  39 -> 42 [size =\"26826752\"]\n  39 -> 44 [size =\"26826752\"]\n  40 [size=\"98320384\", alpha=\"0.09\", expect_size=\"49160192\"] \n  40 -> 42 [size =\"49160192\"]\n  40 -> 43 [size =\"49160192\"]\n  41 [size=\"84955136\", alpha=\"0.10\", expect_size=\"42477568\"] \n  42 [size=\"64509952\", alpha=\"0.17\", expect_size=\"32254976\"] \n  43 [size=\"60420096\", alpha=\"0.13\", expect_size=\"30210048\"] \n  44 [size=\"81637376\", alpha=\"0.06\", expect_size=\"40818688\"] \n  45 [size=\"21735424\", alpha=\"0.06\", expect_size=\"10867712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39623680\", alpha=\"0.19\", expect_size=\"15849472\"] \n  2 [size=\"16353280\", alpha=\"0.07\", expect_size=\"6541312\"] \n  3 [size=\"110330880\", alpha=\"0.01\", expect_size=\"44132352\"] \n  4 [size=\"107422720\", alpha=\"0.19\", expect_size=\"42969088\"] \n  4 -> 10 [size =\"42969088\"]\n  5 [size=\"80727040\", alpha=\"0.01\", expect_size=\"32290816\"] \n  5 -> 8 [size =\"32290816\"]\n  5 -> 10 [size =\"32290816\"]\n  6 [size=\"43189760\", alpha=\"0.16\", expect_size=\"17275904\"] \n  6 -> 9 [size =\"17275904\"]\n  6 -> 10 [size =\"17275904\"]\n  7 [size=\"30737920\", alpha=\"0.09\", expect_size=\"12295168\"] \n  7 -> 8 [size =\"12295168\"]\n  8 [size=\"15592960\", alpha=\"0.04\", expect_size=\"6237184\"] \n  8 -> 12 [size =\"6237184\"]\n  8 -> 13 [size =\"6237184\"]\n  9 [size=\"22415360\", alpha=\"0.00\", expect_size=\"8966144\"] \n  9 -> 14 [size =\"8966144\"]\n  10 [size=\"13194240\", alpha=\"0.03\", expect_size=\"5277696\"] \n  10 -> 11 [size =\"5277696\"]\n  10 -> 13 [size =\"5277696\"]\n  10 -> 14 [size =\"5277696\"]\n  11 [size=\"121725440\", alpha=\"0.14\", expect_size=\"48690176\"] \n  11 -> 17 [size =\"48690176\"]\n  12 [size=\"112949760\", alpha=\"0.07\", expect_size=\"45179904\"] \n  12 -> 16 [size =\"45179904\"]\n  12 -> 18 [size =\"45179904\"]\n  12 -> 19 [size =\"45179904\"]\n  12 -> 20 [size =\"45179904\"]\n  12 -> 21 [size =\"45179904\"]\n  13 [size=\"36692480\", alpha=\"0.08\", expect_size=\"14676992\"] \n  13 -> 15 [size =\"14676992\"]\n  13 -> 18 [size =\"14676992\"]\n  13 -> 21 [size =\"14676992\"]\n  14 [size=\"44272640\", alpha=\"0.08\", expect_size=\"17709056\"] \n  14 -> 17 [size =\"17709056\"]\n  14 -> 20 [size =\"17709056\"]\n  15 [size=\"38348800\", alpha=\"0.04\", expect_size=\"15339520\"] \n  15 -> 26 [size =\"15339520\"]\n  15 -> 28 [size =\"15339520\"]\n  15 -> 29 [size =\"15339520\"]\n  16 [size=\"45071360\", alpha=\"0.05\", expect_size=\"18028544\"] \n  16 -> 23 [size =\"18028544\"]\n  16 -> 25 [size =\"18028544\"]\n  16 -> 26 [size =\"18028544\"]\n  17 [size=\"23485440\", alpha=\"0.17\", expect_size=\"9394176\"] \n  17 -> 22 [size =\"9394176\"]\n  17 -> 23 [size =\"9394176\"]\n  17 -> 24 [size =\"9394176\"]\n  17 -> 25 [size =\"9394176\"]\n  17 -> 27 [size =\"9394176\"]\n  17 -> 29 [size =\"9394176\"]\n  18 [size=\"74206720\", alpha=\"0.10\", expect_size=\"29682688\"] \n  18 -> 24 [size =\"29682688\"]\n  18 -> 25 [size =\"29682688\"]\n  18 -> 28 [size =\"29682688\"]\n  19 [size=\"98972160\", alpha=\"0.09\", expect_size=\"39588864\"] \n  19 -> 28 [size =\"39588864\"]\n  19 -> 29 [size =\"39588864\"]\n  20 [size=\"100840960\", alpha=\"0.02\", expect_size=\"40336384\"] \n  20 -> 24 [size =\"40336384\"]\n  21 [size=\"115842560\", alpha=\"0.01\", expect_size=\"46337024\"] \n  22 [size=\"77931520\", alpha=\"0.19\", expect_size=\"31172608\"] \n  22 -> 31 [size =\"31172608\"]\n  23 [size=\"118973440\", alpha=\"0.14\", expect_size=\"47589376\"] \n  24 [size=\"49244160\", alpha=\"0.06\", expect_size=\"19697664\"] \n  25 [size=\"95943680\", alpha=\"0.08\", expect_size=\"38377472\"] \n  25 -> 30 [size =\"38377472\"]\n  25 -> 33 [size =\"38377472\"]\n  25 -> 34 [size =\"38377472\"]\n  25 -> 35 [size =\"38377472\"]\n  25 -> 36 [size =\"38377472\"]\n  26 [size=\"118855680\", alpha=\"0.16\", expect_size=\"47542272\"] \n  26 -> 30 [size =\"47542272\"]\n  26 -> 32 [size =\"47542272\"]\n  27 [size=\"28464640\", alpha=\"0.07\", expect_size=\"11385856\"] \n  28 [size=\"125946880\", alpha=\"0.18\", expect_size=\"50378752\"] \n  28 -> 36 [size =\"50378752\"]\n  29 [size=\"66398720\", alpha=\"0.10\", expect_size=\"26559488\"] \n  29 -> 30 [size =\"26559488\"]\n  29 -> 31 [size =\"26559488\"]\n  29 -> 32 [size =\"26559488\"]\n  29 -> 34 [size =\"26559488\"]\n  29 -> 35 [size =\"26559488\"]\n  29 -> 36 [size =\"26559488\"]\n  30 [size=\"118753280\", alpha=\"0.03\", expect_size=\"47501312\"] \n  31 [size=\"15526400\", alpha=\"0.14\", expect_size=\"6210560\"] \n  31 -> 39 [size =\"6210560\"]\n  32 [size=\"19166720\", alpha=\"0.02\", expect_size=\"7666688\"] \n  32 -> 37 [size =\"7666688\"]\n  32 -> 39 [size =\"7666688\"]\n  33 [size=\"14955520\", alpha=\"0.14\", expect_size=\"5982208\"] \n  33 -> 37 [size =\"5982208\"]\n  33 -> 38 [size =\"5982208\"]\n  34 [size=\"100124160\", alpha=\"0.12\", expect_size=\"40049664\"] \n  35 [size=\"15088640\", alpha=\"0.13\", expect_size=\"6035456\"] \n  36 [size=\"63400960\", alpha=\"0.00\", expect_size=\"25360384\"] \n  36 -> 37 [size =\"25360384\"]\n  37 [size=\"39219200\", alpha=\"0.09\", expect_size=\"15687680\"] \n  37 -> 43 [size =\"15687680\"]\n  37 -> 45 [size =\"15687680\"]\n  38 [size=\"78138880\", alpha=\"0.08\", expect_size=\"31255552\"] \n  38 -> 40 [size =\"31255552\"]\n  38 -> 43 [size =\"31255552\"]\n  38 -> 44 [size =\"31255552\"]\n  39 [size=\"64680960\", alpha=\"0.02\", expect_size=\"25872384\"] \n  39 -> 40 [size =\"25872384\"]\n  39 -> 41 [size =\"25872384\"]\n  39 -> 42 [size =\"25872384\"]\n  40 [size=\"126120960\", alpha=\"0.11\", expect_size=\"50448384\"] \n  41 [size=\"26616320\", alpha=\"0.17\", expect_size=\"10646528\"] \n  42 [size=\"110720000\", alpha=\"0.14\", expect_size=\"44288000\"] \n  43 [size=\"124377600\", alpha=\"0.09\", expect_size=\"49751040\"] \n  44 [size=\"91176960\", alpha=\"0.10\", expect_size=\"36470784\"] \n  45 [size=\"42288640\", alpha=\"0.05\", expect_size=\"16915456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58017280\", alpha=\"0.06\", expect_size=\"23206912\"] \n  1 -> 30 [size =\"23206912\"]\n  1 -> 31 [size =\"23206912\"]\n  1 -> 32 [size =\"23206912\"]\n  1 -> 33 [size =\"23206912\"]\n  1 -> 35 [size =\"23206912\"]\n  1 -> 38 [size =\"23206912\"]\n  1 -> 40 [size =\"23206912\"]\n  1 -> 41 [size =\"23206912\"]\n  2 [size=\"92042240\", alpha=\"0.10\", expect_size=\"36816896\"] \n  2 -> 30 [size =\"36816896\"]\n  2 -> 31 [size =\"36816896\"]\n  2 -> 32 [size =\"36816896\"]\n  2 -> 35 [size =\"36816896\"]\n  2 -> 35 [size =\"36816896\"]\n  2 -> 40 [size =\"36816896\"]\n  2 -> 40 [size =\"36816896\"]\n  2 -> 41 [size =\"36816896\"]\n  3 [size=\"111019520\", alpha=\"0.19\", expect_size=\"44407808\"] \n  3 -> 30 [size =\"44407808\"]\n  3 -> 33 [size =\"44407808\"]\n  3 -> 35 [size =\"44407808\"]\n  3 -> 35 [size =\"44407808\"]\n  3 -> 36 [size =\"44407808\"]\n  3 -> 37 [size =\"44407808\"]\n  3 -> 38 [size =\"44407808\"]\n  3 -> 40 [size =\"44407808\"]\n  3 -> 41 [size =\"44407808\"]\n  3 -> 42 [size =\"44407808\"]\n  3 -> 44 [size =\"44407808\"]\n  4 [size=\"112760320\", alpha=\"0.09\", expect_size=\"45104128\"] \n  4 -> 30 [size =\"45104128\"]\n  4 -> 34 [size =\"45104128\"]\n  4 -> 35 [size =\"45104128\"]\n  4 -> 37 [size =\"45104128\"]\n  4 -> 41 [size =\"45104128\"]\n  4 -> 44 [size =\"45104128\"]\n  4 -> 45 [size =\"45104128\"]\n  5 [size=\"107473920\", alpha=\"0.08\", expect_size=\"42989568\"] \n  5 -> 30 [size =\"42989568\"]\n  5 -> 33 [size =\"42989568\"]\n  5 -> 35 [size =\"42989568\"]\n  5 -> 37 [size =\"42989568\"]\n  5 -> 38 [size =\"42989568\"]\n  5 -> 40 [size =\"42989568\"]\n  5 -> 41 [size =\"42989568\"]\n  6 [size=\"109795840\", alpha=\"0.15\", expect_size=\"43918336\"] \n  6 -> 30 [size =\"43918336\"]\n  6 -> 33 [size =\"43918336\"]\n  6 -> 35 [size =\"43918336\"]\n  6 -> 37 [size =\"43918336\"]\n  6 -> 38 [size =\"43918336\"]\n  6 -> 40 [size =\"43918336\"]\n  6 -> 41 [size =\"43918336\"]\n  6 -> 45 [size =\"43918336\"]\n  7 [size=\"96686080\", alpha=\"0.09\", expect_size=\"38674432\"] \n  7 -> 30 [size =\"38674432\"]\n  7 -> 31 [size =\"38674432\"]\n  7 -> 33 [size =\"38674432\"]\n  7 -> 34 [size =\"38674432\"]\n  7 -> 35 [size =\"38674432\"]\n  7 -> 37 [size =\"38674432\"]\n  7 -> 38 [size =\"38674432\"]\n  7 -> 40 [size =\"38674432\"]\n  7 -> 41 [size =\"38674432\"]\n  7 -> 42 [size =\"38674432\"]\n  7 -> 44 [size =\"38674432\"]\n  8 [size=\"129497600\", alpha=\"0.15\", expect_size=\"51799040\"] \n  8 -> 30 [size =\"51799040\"]\n  8 -> 31 [size =\"51799040\"]\n  8 -> 32 [size =\"51799040\"]\n  8 -> 34 [size =\"51799040\"]\n  8 -> 35 [size =\"51799040\"]\n  8 -> 38 [size =\"51799040\"]\n  8 -> 40 [size =\"51799040\"]\n  8 -> 41 [size =\"51799040\"]\n  8 -> 41 [size =\"51799040\"]\n  8 -> 45 [size =\"51799040\"]\n  9 [size=\"19845120\", alpha=\"0.02\", expect_size=\"7938048\"] \n  9 -> 30 [size =\"7938048\"]\n  9 -> 31 [size =\"7938048\"]\n  9 -> 32 [size =\"7938048\"]\n  9 -> 33 [size =\"7938048\"]\n  9 -> 35 [size =\"7938048\"]\n  9 -> 40 [size =\"7938048\"]\n  9 -> 41 [size =\"7938048\"]\n  9 -> 41 [size =\"7938048\"]\n  9 -> 44 [size =\"7938048\"]\n  9 -> 45 [size =\"7938048\"]\n  10 [size=\"88074240\", alpha=\"0.12\", expect_size=\"35229696\"] \n  10 -> 30 [size =\"35229696\"]\n  10 -> 31 [size =\"35229696\"]\n  10 -> 32 [size =\"35229696\"]\n  10 -> 35 [size =\"35229696\"]\n  10 -> 40 [size =\"35229696\"]\n  10 -> 41 [size =\"35229696\"]\n  10 -> 44 [size =\"35229696\"]\n  11 [size=\"15219200\", alpha=\"0.01\", expect_size=\"6087680\"] \n  11 -> 30 [size =\"6087680\"]\n  11 -> 33 [size =\"6087680\"]\n  11 -> 35 [size =\"6087680\"]\n  11 -> 35 [size =\"6087680\"]\n  11 -> 38 [size =\"6087680\"]\n  11 -> 40 [size =\"6087680\"]\n  11 -> 44 [size =\"6087680\"]\n  12 [size=\"49208320\", alpha=\"0.07\", expect_size=\"19683328\"] \n  12 -> 30 [size =\"19683328\"]\n  12 -> 31 [size =\"19683328\"]\n  12 -> 33 [size =\"19683328\"]\n  12 -> 35 [size =\"19683328\"]\n  12 -> 36 [size =\"19683328\"]\n  12 -> 37 [size =\"19683328\"]\n  12 -> 39 [size =\"19683328\"]\n  12 -> 40 [size =\"19683328\"]\n  12 -> 44 [size =\"19683328\"]\n  13 [size=\"109135360\", alpha=\"0.12\", expect_size=\"43654144\"] \n  13 -> 35 [size =\"43654144\"]\n  13 -> 36 [size =\"43654144\"]\n  13 -> 37 [size =\"43654144\"]\n  13 -> 38 [size =\"43654144\"]\n  13 -> 40 [size =\"43654144\"]\n  13 -> 44 [size =\"43654144\"]\n  14 [size=\"102312960\", alpha=\"0.11\", expect_size=\"40925184\"] \n  14 -> 33 [size =\"40925184\"]\n  14 -> 34 [size =\"40925184\"]\n  14 -> 35 [size =\"40925184\"]\n  14 -> 36 [size =\"40925184\"]\n  14 -> 37 [size =\"40925184\"]\n  14 -> 38 [size =\"40925184\"]\n  14 -> 40 [size =\"40925184\"]\n  14 -> 41 [size =\"40925184\"]\n  14 -> 44 [size =\"40925184\"]\n  14 -> 45 [size =\"40925184\"]\n  15 [size=\"37934080\", alpha=\"0.01\", expect_size=\"15173632\"] \n  15 -> 32 [size =\"15173632\"]\n  15 -> 33 [size =\"15173632\"]\n  15 -> 35 [size =\"15173632\"]\n  15 -> 38 [size =\"15173632\"]\n  15 -> 40 [size =\"15173632\"]\n  15 -> 41 [size =\"15173632\"]\n  15 -> 45 [size =\"15173632\"]\n  16 [size=\"87948800\", alpha=\"0.08\", expect_size=\"35179520\"] \n  16 -> 30 [size =\"35179520\"]\n  16 -> 33 [size =\"35179520\"]\n  16 -> 35 [size =\"35179520\"]\n  16 -> 38 [size =\"35179520\"]\n  16 -> 39 [size =\"35179520\"]\n  16 -> 40 [size =\"35179520\"]\n  16 -> 41 [size =\"35179520\"]\n  16 -> 43 [size =\"35179520\"]\n  16 -> 45 [size =\"35179520\"]\n  17 [size=\"60723200\", alpha=\"0.16\", expect_size=\"24289280\"] \n  17 -> 33 [size =\"24289280\"]\n  17 -> 33 [size =\"24289280\"]\n  17 -> 38 [size =\"24289280\"]\n  17 -> 38 [size =\"24289280\"]\n  17 -> 39 [size =\"24289280\"]\n  17 -> 40 [size =\"24289280\"]\n  17 -> 41 [size =\"24289280\"]\n  17 -> 45 [size =\"24289280\"]\n  18 [size=\"114667520\", alpha=\"0.15\", expect_size=\"45867008\"] \n  18 -> 30 [size =\"45867008\"]\n  18 -> 31 [size =\"45867008\"]\n  18 -> 33 [size =\"45867008\"]\n  18 -> 34 [size =\"45867008\"]\n  18 -> 35 [size =\"45867008\"]\n  18 -> 38 [size =\"45867008\"]\n  18 -> 41 [size =\"45867008\"]\n  19 [size=\"87403520\", alpha=\"0.05\", expect_size=\"34961408\"] \n  19 -> 30 [size =\"34961408\"]\n  19 -> 31 [size =\"34961408\"]\n  19 -> 35 [size =\"34961408\"]\n  19 -> 38 [size =\"34961408\"]\n  19 -> 45 [size =\"34961408\"]\n  20 [size=\"99957760\", alpha=\"0.02\", expect_size=\"39983104\"] \n  20 -> 30 [size =\"39983104\"]\n  20 -> 31 [size =\"39983104\"]\n  20 -> 32 [size =\"39983104\"]\n  20 -> 35 [size =\"39983104\"]\n  20 -> 45 [size =\"39983104\"]\n  21 [size=\"52851200\", alpha=\"0.07\", expect_size=\"21140480\"] \n  21 -> 30 [size =\"21140480\"]\n  21 -> 31 [size =\"21140480\"]\n  21 -> 33 [size =\"21140480\"]\n  21 -> 37 [size =\"21140480\"]\n  21 -> 40 [size =\"21140480\"]\n  21 -> 45 [size =\"21140480\"]\n  22 [size=\"57996800\", alpha=\"0.06\", expect_size=\"23198720\"] \n  22 -> 30 [size =\"23198720\"]\n  22 -> 31 [size =\"23198720\"]\n  22 -> 32 [size =\"23198720\"]\n  22 -> 34 [size =\"23198720\"]\n  22 -> 35 [size =\"23198720\"]\n  22 -> 37 [size =\"23198720\"]\n  22 -> 38 [size =\"23198720\"]\n  22 -> 40 [size =\"23198720\"]\n  22 -> 41 [size =\"23198720\"]\n  22 -> 44 [size =\"23198720\"]\n  23 [size=\"101987840\", alpha=\"0.01\", expect_size=\"40795136\"] \n  23 -> 30 [size =\"40795136\"]\n  23 -> 31 [size =\"40795136\"]\n  23 -> 32 [size =\"40795136\"]\n  23 -> 33 [size =\"40795136\"]\n  23 -> 34 [size =\"40795136\"]\n  23 -> 36 [size =\"40795136\"]\n  23 -> 38 [size =\"40795136\"]\n  23 -> 39 [size =\"40795136\"]\n  23 -> 40 [size =\"40795136\"]\n  23 -> 41 [size =\"40795136\"]\n  23 -> 44 [size =\"40795136\"]\n  23 -> 45 [size =\"40795136\"]\n  24 [size=\"53455360\", alpha=\"0.13\", expect_size=\"21382144\"] \n  24 -> 30 [size =\"21382144\"]\n  24 -> 36 [size =\"21382144\"]\n  24 -> 37 [size =\"21382144\"]\n  24 -> 40 [size =\"21382144\"]\n  25 [size=\"118814720\", alpha=\"0.01\", expect_size=\"47525888\"] \n  25 -> 30 [size =\"47525888\"]\n  25 -> 32 [size =\"47525888\"]\n  25 -> 34 [size =\"47525888\"]\n  25 -> 36 [size =\"47525888\"]\n  25 -> 40 [size =\"47525888\"]\n  25 -> 41 [size =\"47525888\"]\n  25 -> 44 [size =\"47525888\"]\n  26 [size=\"121917440\", alpha=\"0.06\", expect_size=\"48766976\"] \n  26 -> 30 [size =\"48766976\"]\n  26 -> 32 [size =\"48766976\"]\n  26 -> 33 [size =\"48766976\"]\n  26 -> 35 [size =\"48766976\"]\n  26 -> 38 [size =\"48766976\"]\n  26 -> 40 [size =\"48766976\"]\n  26 -> 41 [size =\"48766976\"]\n  26 -> 45 [size =\"48766976\"]\n  27 [size=\"49948160\", alpha=\"0.05\", expect_size=\"19979264\"] \n  27 -> 30 [size =\"19979264\"]\n  27 -> 34 [size =\"19979264\"]\n  27 -> 37 [size =\"19979264\"]\n  27 -> 40 [size =\"19979264\"]\n  27 -> 41 [size =\"19979264\"]\n  27 -> 44 [size =\"19979264\"]\n  27 -> 45 [size =\"19979264\"]\n  27 -> 45 [size =\"19979264\"]\n  28 [size=\"24547840\", alpha=\"0.03\", expect_size=\"9819136\"] \n  28 -> 30 [size =\"9819136\"]\n  28 -> 37 [size =\"9819136\"]\n  28 -> 37 [size =\"9819136\"]\n  28 -> 39 [size =\"9819136\"]\n  28 -> 40 [size =\"9819136\"]\n  28 -> 41 [size =\"9819136\"]\n  28 -> 44 [size =\"9819136\"]\n  29 [size=\"115235840\", alpha=\"0.02\", expect_size=\"46094336\"] \n  29 -> 30 [size =\"46094336\"]\n  29 -> 34 [size =\"46094336\"]\n  29 -> 37 [size =\"46094336\"]\n  29 -> 39 [size =\"46094336\"]\n  29 -> 40 [size =\"46094336\"]\n  29 -> 41 [size =\"46094336\"]\n  29 -> 44 [size =\"46094336\"]\n  30 [size=\"24947200\", alpha=\"0.15\", expect_size=\"9978880\"] \n  31 [size=\"38405120\", alpha=\"0.07\", expect_size=\"15362048\"] \n  32 [size=\"82557440\", alpha=\"0.06\", expect_size=\"33022976\"] \n  33 [size=\"118371840\", alpha=\"0.01\", expect_size=\"47348736\"] \n  34 [size=\"125798400\", alpha=\"0.11\", expect_size=\"50319360\"] \n  35 [size=\"86530560\", alpha=\"0.05\", expect_size=\"34612224\"] \n  36 [size=\"94935040\", alpha=\"0.12\", expect_size=\"37974016\"] \n  37 [size=\"129735680\", alpha=\"0.08\", expect_size=\"51894272\"] \n  38 [size=\"38581760\", alpha=\"0.20\", expect_size=\"15432704\"] \n  39 [size=\"55831040\", alpha=\"0.05\", expect_size=\"22332416\"] \n  40 [size=\"70261760\", alpha=\"0.04\", expect_size=\"28104704\"] \n  41 [size=\"38873600\", alpha=\"0.11\", expect_size=\"15549440\"] \n  42 [size=\"81745920\", alpha=\"0.05\", expect_size=\"32698368\"] \n  43 [size=\"117015040\", alpha=\"0.14\", expect_size=\"46806016\"] \n  44 [size=\"122744320\", alpha=\"0.10\", expect_size=\"49097728\"] \n  45 [size=\"70179840\", alpha=\"0.03\", expect_size=\"28071936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62132224\", alpha=\"0.11\", expect_size=\"31066112\"] \n  1 -> 15 [size =\"31066112\"]\n  1 -> 21 [size =\"31066112\"]\n  1 -> 25 [size =\"31066112\"]\n  2 [size=\"61335552\", alpha=\"0.07\", expect_size=\"30667776\"] \n  2 -> 14 [size =\"30667776\"]\n  2 -> 15 [size =\"30667776\"]\n  2 -> 21 [size =\"30667776\"]\n  2 -> 25 [size =\"30667776\"]\n  3 [size=\"26826752\", alpha=\"0.02\", expect_size=\"13413376\"] \n  3 -> 15 [size =\"13413376\"]\n  3 -> 15 [size =\"13413376\"]\n  3 -> 19 [size =\"13413376\"]\n  3 -> 20 [size =\"13413376\"]\n  3 -> 21 [size =\"13413376\"]\n  3 -> 26 [size =\"13413376\"]\n  4 [size=\"39491584\", alpha=\"0.03\", expect_size=\"19745792\"] \n  4 -> 20 [size =\"19745792\"]\n  4 -> 26 [size =\"19745792\"]\n  5 [size=\"27893760\", alpha=\"0.15\", expect_size=\"13946880\"] \n  5 -> 18 [size =\"13946880\"]\n  6 [size=\"64438272\", alpha=\"0.09\", expect_size=\"32219136\"] \n  6 -> 17 [size =\"32219136\"]\n  6 -> 18 [size =\"32219136\"]\n  6 -> 23 [size =\"32219136\"]\n  6 -> 24 [size =\"32219136\"]\n  7 [size=\"90138624\", alpha=\"0.10\", expect_size=\"45069312\"] \n  7 -> 18 [size =\"45069312\"]\n  7 -> 20 [size =\"45069312\"]\n  7 -> 24 [size =\"45069312\"]\n  7 -> 25 [size =\"45069312\"]\n  8 [size=\"48738304\", alpha=\"0.17\", expect_size=\"24369152\"] \n  8 -> 14 [size =\"24369152\"]\n  8 -> 18 [size =\"24369152\"]\n  8 -> 19 [size =\"24369152\"]\n  8 -> 20 [size =\"24369152\"]\n  8 -> 23 [size =\"24369152\"]\n  9 [size=\"37943296\", alpha=\"0.16\", expect_size=\"18971648\"] \n  9 -> 14 [size =\"18971648\"]\n  9 -> 21 [size =\"18971648\"]\n  9 -> 22 [size =\"18971648\"]\n  9 -> 24 [size =\"18971648\"]\n  10 [size=\"54327296\", alpha=\"0.09\", expect_size=\"27163648\"] \n  10 -> 17 [size =\"27163648\"]\n  10 -> 20 [size =\"27163648\"]\n  10 -> 23 [size =\"27163648\"]\n  10 -> 24 [size =\"27163648\"]\n  10 -> 25 [size =\"27163648\"]\n  11 [size=\"93972480\", alpha=\"0.07\", expect_size=\"46986240\"] \n  11 -> 15 [size =\"46986240\"]\n  11 -> 20 [size =\"46986240\"]\n  11 -> 21 [size =\"46986240\"]\n  12 [size=\"51931136\", alpha=\"0.01\", expect_size=\"25965568\"] \n  12 -> 14 [size =\"25965568\"]\n  12 -> 15 [size =\"25965568\"]\n  12 -> 16 [size =\"25965568\"]\n  12 -> 20 [size =\"25965568\"]\n  12 -> 21 [size =\"25965568\"]\n  13 [size=\"86614016\", alpha=\"0.13\", expect_size=\"43307008\"] \n  13 -> 21 [size =\"43307008\"]\n  13 -> 23 [size =\"43307008\"]\n  13 -> 24 [size =\"43307008\"]\n  14 [size=\"95719424\", alpha=\"0.14\", expect_size=\"47859712\"] \n  14 -> 28 [size =\"47859712\"]\n  14 -> 30 [size =\"47859712\"]\n  14 -> 40 [size =\"47859712\"]\n  15 [size=\"17369088\", alpha=\"0.14\", expect_size=\"8684544\"] \n  15 -> 32 [size =\"8684544\"]\n  16 [size=\"89790464\", alpha=\"0.12\", expect_size=\"44895232\"] \n  16 -> 27 [size =\"44895232\"]\n  16 -> 29 [size =\"44895232\"]\n  16 -> 31 [size =\"44895232\"]\n  16 -> 33 [size =\"44895232\"]\n  16 -> 37 [size =\"44895232\"]\n  17 [size=\"38402048\", alpha=\"0.15\", expect_size=\"19201024\"] \n  17 -> 34 [size =\"19201024\"]\n  17 -> 38 [size =\"19201024\"]\n  18 [size=\"83615744\", alpha=\"0.04\", expect_size=\"41807872\"] \n  18 -> 34 [size =\"41807872\"]\n  18 -> 37 [size =\"41807872\"]\n  18 -> 39 [size =\"41807872\"]\n  19 [size=\"70072320\", alpha=\"0.10\", expect_size=\"35036160\"] \n  19 -> 27 [size =\"35036160\"]\n  19 -> 28 [size =\"35036160\"]\n  19 -> 30 [size =\"35036160\"]\n  19 -> 32 [size =\"35036160\"]\n  19 -> 37 [size =\"35036160\"]\n  19 -> 39 [size =\"35036160\"]\n  19 -> 40 [size =\"35036160\"]\n  20 [size=\"52811776\", alpha=\"0.04\", expect_size=\"26405888\"] \n  20 -> 29 [size =\"26405888\"]\n  20 -> 32 [size =\"26405888\"]\n  20 -> 35 [size =\"26405888\"]\n  20 -> 37 [size =\"26405888\"]\n  20 -> 39 [size =\"26405888\"]\n  21 [size=\"93628416\", alpha=\"0.10\", expect_size=\"46814208\"] \n  21 -> 35 [size =\"46814208\"]\n  21 -> 39 [size =\"46814208\"]\n  22 [size=\"31051776\", alpha=\"0.06\", expect_size=\"15525888\"] \n  22 -> 30 [size =\"15525888\"]\n  22 -> 34 [size =\"15525888\"]\n  22 -> 35 [size =\"15525888\"]\n  22 -> 39 [size =\"15525888\"]\n  23 [size=\"36546560\", alpha=\"0.06\", expect_size=\"18273280\"] \n  23 -> 33 [size =\"18273280\"]\n  23 -> 34 [size =\"18273280\"]\n  23 -> 39 [size =\"18273280\"]\n  24 [size=\"99313664\", alpha=\"0.11\", expect_size=\"49656832\"] \n  24 -> 29 [size =\"49656832\"]\n  24 -> 30 [size =\"49656832\"]\n  24 -> 34 [size =\"49656832\"]\n  24 -> 36 [size =\"49656832\"]\n  24 -> 40 [size =\"49656832\"]\n  25 [size=\"69314560\", alpha=\"0.01\", expect_size=\"34657280\"] \n  25 -> 30 [size =\"34657280\"]\n  25 -> 31 [size =\"34657280\"]\n  25 -> 34 [size =\"34657280\"]\n  25 -> 37 [size =\"34657280\"]\n  26 [size=\"39976960\", alpha=\"0.02\", expect_size=\"19988480\"] \n  26 -> 28 [size =\"19988480\"]\n  26 -> 30 [size =\"19988480\"]\n  26 -> 31 [size =\"19988480\"]\n  26 -> 35 [size =\"19988480\"]\n  26 -> 38 [size =\"19988480\"]\n  26 -> 39 [size =\"19988480\"]\n  26 -> 40 [size =\"19988480\"]\n  27 [size=\"95232000\", alpha=\"0.20\", expect_size=\"47616000\"] \n  27 -> 41 [size =\"47616000\"]\n  27 -> 42 [size =\"47616000\"]\n  27 -> 43 [size =\"47616000\"]\n  27 -> 44 [size =\"47616000\"]\n  27 -> 45 [size =\"47616000\"]\n  28 [size=\"73830400\", alpha=\"0.05\", expect_size=\"36915200\"] \n  28 -> 43 [size =\"36915200\"]\n  28 -> 44 [size =\"36915200\"]\n  28 -> 45 [size =\"36915200\"]\n  29 [size=\"94531584\", alpha=\"0.17\", expect_size=\"47265792\"] \n  29 -> 43 [size =\"47265792\"]\n  30 [size=\"46622720\", alpha=\"0.18\", expect_size=\"23311360\"] \n  30 -> 44 [size =\"23311360\"]\n  31 [size=\"66959360\", alpha=\"0.17\", expect_size=\"33479680\"] \n  31 -> 43 [size =\"33479680\"]\n  32 [size=\"18446336\", alpha=\"0.04\", expect_size=\"9223168\"] \n  32 -> 41 [size =\"9223168\"]\n  32 -> 42 [size =\"9223168\"]\n  32 -> 44 [size =\"9223168\"]\n  33 [size=\"46307328\", alpha=\"0.08\", expect_size=\"23153664\"] \n  33 -> 41 [size =\"23153664\"]\n  33 -> 43 [size =\"23153664\"]\n  33 -> 44 [size =\"23153664\"]\n  34 [size=\"72513536\", alpha=\"0.10\", expect_size=\"36256768\"] \n  34 -> 43 [size =\"36256768\"]\n  34 -> 44 [size =\"36256768\"]\n  35 [size=\"31698944\", alpha=\"0.13\", expect_size=\"15849472\"] \n  35 -> 43 [size =\"15849472\"]\n  36 [size=\"35645440\", alpha=\"0.13\", expect_size=\"17822720\"] \n  36 -> 43 [size =\"17822720\"]\n  36 -> 44 [size =\"17822720\"]\n  37 [size=\"43935744\", alpha=\"0.19\", expect_size=\"21967872\"] \n  37 -> 41 [size =\"21967872\"]\n  37 -> 44 [size =\"21967872\"]\n  37 -> 45 [size =\"21967872\"]\n  38 [size=\"41850880\", alpha=\"0.00\", expect_size=\"20925440\"] \n  39 [size=\"67643392\", alpha=\"0.14\", expect_size=\"33821696\"] \n  40 [size=\"54403072\", alpha=\"0.17\", expect_size=\"27201536\"] \n  40 -> 41 [size =\"27201536\"]\n  40 -> 43 [size =\"27201536\"]\n  41 [size=\"45969408\", alpha=\"0.18\", expect_size=\"22984704\"] \n  42 [size=\"31457280\", alpha=\"0.03\", expect_size=\"15728640\"] \n  43 [size=\"52316160\", alpha=\"0.13\", expect_size=\"26158080\"] \n  44 [size=\"90300416\", alpha=\"0.02\", expect_size=\"45150208\"] \n  45 [size=\"41902080\", alpha=\"0.04\", expect_size=\"20951040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55214080\", alpha=\"0.12\", expect_size=\"22085632\"] \n  1 -> 4 [size =\"22085632\"]\n  1 -> 5 [size =\"22085632\"]\n  2 [size=\"55915520\", alpha=\"0.17\", expect_size=\"22366208\"] \n  2 -> 5 [size =\"22366208\"]\n  2 -> 6 [size =\"22366208\"]\n  3 [size=\"100341760\", alpha=\"0.05\", expect_size=\"40136704\"] \n  3 -> 4 [size =\"40136704\"]\n  3 -> 6 [size =\"40136704\"]\n  4 [size=\"70704640\", alpha=\"0.06\", expect_size=\"28281856\"] \n  4 -> 8 [size =\"28281856\"]\n  4 -> 10 [size =\"28281856\"]\n  5 [size=\"104627200\", alpha=\"0.00\", expect_size=\"41850880\"] \n  5 -> 7 [size =\"41850880\"]\n  5 -> 8 [size =\"41850880\"]\n  5 -> 9 [size =\"41850880\"]\n  6 [size=\"70382080\", alpha=\"0.12\", expect_size=\"28152832\"] \n  6 -> 7 [size =\"28152832\"]\n  6 -> 8 [size =\"28152832\"]\n  6 -> 9 [size =\"28152832\"]\n  6 -> 10 [size =\"28152832\"]\n  7 [size=\"88954880\", alpha=\"0.13\", expect_size=\"35581952\"] \n  7 -> 13 [size =\"35581952\"]\n  8 [size=\"100697600\", alpha=\"0.11\", expect_size=\"40279040\"] \n  8 -> 11 [size =\"40279040\"]\n  8 -> 12 [size =\"40279040\"]\n  8 -> 13 [size =\"40279040\"]\n  9 [size=\"96320000\", alpha=\"0.06\", expect_size=\"38528000\"] \n  9 -> 11 [size =\"38528000\"]\n  10 [size=\"44421120\", alpha=\"0.05\", expect_size=\"17768448\"] \n  10 -> 11 [size =\"17768448\"]\n  10 -> 12 [size =\"17768448\"]\n  11 [size=\"19658240\", alpha=\"0.10\", expect_size=\"7863296\"] \n  12 [size=\"90048000\", alpha=\"0.10\", expect_size=\"36019200\"] \n  13 [size=\"74475520\", alpha=\"0.19\", expect_size=\"29790208\"] \n  13 -> 14 [size =\"29790208\"]\n  14 [size=\"102108160\", alpha=\"0.07\", expect_size=\"40843264\"] \n  14 -> 15 [size =\"40843264\"]\n  14 -> 16 [size =\"40843264\"]\n  14 -> 17 [size =\"40843264\"]\n  15 [size=\"19586560\", alpha=\"0.20\", expect_size=\"7834624\"] \n  15 -> 18 [size =\"7834624\"]\n  16 [size=\"21276160\", alpha=\"0.12\", expect_size=\"8510464\"] \n  16 -> 18 [size =\"8510464\"]\n  17 [size=\"92198400\", alpha=\"0.17\", expect_size=\"36879360\"] \n  17 -> 18 [size =\"36879360\"]\n  18 [size=\"51773440\", alpha=\"0.11\", expect_size=\"20709376\"] \n  18 -> 19 [size =\"20709376\"]\n  19 [size=\"116469760\", alpha=\"0.08\", expect_size=\"46587904\"] \n  19 -> 20 [size =\"46587904\"]\n  19 -> 21 [size =\"46587904\"]\n  20 [size=\"36748800\", alpha=\"0.01\", expect_size=\"14699520\"] \n  20 -> 24 [size =\"14699520\"]\n  20 -> 25 [size =\"14699520\"]\n  21 [size=\"63331840\", alpha=\"0.02\", expect_size=\"25332736\"] \n  21 -> 22 [size =\"25332736\"]\n  21 -> 23 [size =\"25332736\"]\n  21 -> 24 [size =\"25332736\"]\n  21 -> 25 [size =\"25332736\"]\n  22 [size=\"120819200\", alpha=\"0.09\", expect_size=\"48327680\"] \n  22 -> 27 [size =\"48327680\"]\n  23 [size=\"62466560\", alpha=\"0.12\", expect_size=\"24986624\"] \n  23 -> 27 [size =\"24986624\"]\n  23 -> 28 [size =\"24986624\"]\n  24 [size=\"58529280\", alpha=\"0.04\", expect_size=\"23411712\"] \n  24 -> 28 [size =\"23411712\"]\n  24 -> 29 [size =\"23411712\"]\n  25 [size=\"99253760\", alpha=\"0.12\", expect_size=\"39701504\"] \n  25 -> 26 [size =\"39701504\"]\n  25 -> 27 [size =\"39701504\"]\n  25 -> 28 [size =\"39701504\"]\n  26 [size=\"97223680\", alpha=\"0.09\", expect_size=\"38889472\"] \n  26 -> 31 [size =\"38889472\"]\n  27 [size=\"51366400\", alpha=\"0.19\", expect_size=\"20546560\"] \n  27 -> 30 [size =\"20546560\"]\n  28 [size=\"34388480\", alpha=\"0.04\", expect_size=\"13755392\"] \n  28 -> 30 [size =\"13755392\"]\n  29 [size=\"99059200\", alpha=\"0.03\", expect_size=\"39623680\"] \n  29 -> 30 [size =\"39623680\"]\n  30 [size=\"30167040\", alpha=\"0.08\", expect_size=\"12066816\"] \n  30 -> 34 [size =\"12066816\"]\n  31 [size=\"38991360\", alpha=\"0.13\", expect_size=\"15596544\"] \n  31 -> 32 [size =\"15596544\"]\n  31 -> 33 [size =\"15596544\"]\n  31 -> 34 [size =\"15596544\"]\n  32 [size=\"49679360\", alpha=\"0.12\", expect_size=\"19871744\"] \n  32 -> 36 [size =\"19871744\"]\n  33 [size=\"105036800\", alpha=\"0.01\", expect_size=\"42014720\"] \n  33 -> 35 [size =\"42014720\"]\n  33 -> 36 [size =\"42014720\"]\n  33 -> 37 [size =\"42014720\"]\n  34 [size=\"56373760\", alpha=\"0.05\", expect_size=\"22549504\"] \n  34 -> 36 [size =\"22549504\"]\n  34 -> 37 [size =\"22549504\"]\n  35 [size=\"79249920\", alpha=\"0.10\", expect_size=\"31699968\"] \n  35 -> 38 [size =\"31699968\"]\n  35 -> 39 [size =\"31699968\"]\n  36 [size=\"29258240\", alpha=\"0.17\", expect_size=\"11703296\"] \n  36 -> 40 [size =\"11703296\"]\n  37 [size=\"81635840\", alpha=\"0.17\", expect_size=\"32654336\"] \n  37 -> 38 [size =\"32654336\"]\n  37 -> 39 [size =\"32654336\"]\n  38 [size=\"76308480\", alpha=\"0.04\", expect_size=\"30523392\"] \n  38 -> 41 [size =\"30523392\"]\n  38 -> 43 [size =\"30523392\"]\n  38 -> 44 [size =\"30523392\"]\n  39 [size=\"100861440\", alpha=\"0.08\", expect_size=\"40344576\"] \n  39 -> 42 [size =\"40344576\"]\n  39 -> 44 [size =\"40344576\"]\n  40 [size=\"120550400\", alpha=\"0.16\", expect_size=\"48220160\"] \n  40 -> 43 [size =\"48220160\"]\n  40 -> 44 [size =\"48220160\"]\n  41 [size=\"48719360\", alpha=\"0.13\", expect_size=\"19487744\"] \n  42 [size=\"127854080\", alpha=\"0.07\", expect_size=\"51141632\"] \n  42 -> 45 [size =\"51141632\"]\n  43 [size=\"81000960\", alpha=\"0.11\", expect_size=\"32400384\"] \n  43 -> 45 [size =\"32400384\"]\n  44 [size=\"87495680\", alpha=\"0.02\", expect_size=\"34998272\"] \n  45 [size=\"118371840\", alpha=\"0.07\", expect_size=\"47348736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103543467\", alpha=\"0.09\", expect_size=\"31063040\"] \n  1 -> 12 [size =\"31063040\"]\n  2 [size=\"172605440\", alpha=\"0.13\", expect_size=\"51781632\"] \n  2 -> 8 [size =\"51781632\"]\n  2 -> 9 [size =\"51781632\"]\n  2 -> 11 [size =\"51781632\"]\n  2 -> 12 [size =\"51781632\"]\n  3 [size=\"136796160\", alpha=\"0.03\", expect_size=\"41038848\"] \n  4 [size=\"75171840\", alpha=\"0.08\", expect_size=\"22551552\"] \n  4 -> 8 [size =\"22551552\"]\n  4 -> 9 [size =\"22551552\"]\n  4 -> 10 [size =\"22551552\"]\n  4 -> 11 [size =\"22551552\"]\n  4 -> 13 [size =\"22551552\"]\n  5 [size=\"172451840\", alpha=\"0.05\", expect_size=\"51735552\"] \n  5 -> 8 [size =\"51735552\"]\n  5 -> 10 [size =\"51735552\"]\n  5 -> 11 [size =\"51735552\"]\n  6 [size=\"89047040\", alpha=\"0.03\", expect_size=\"26714112\"] \n  6 -> 11 [size =\"26714112\"]\n  7 [size=\"76571307\", alpha=\"0.19\", expect_size=\"22971392\"] \n  7 -> 10 [size =\"22971392\"]\n  8 [size=\"153524907\", alpha=\"0.17\", expect_size=\"46057472\"] \n  8 -> 15 [size =\"46057472\"]\n  8 -> 16 [size =\"46057472\"]\n  9 [size=\"79284907\", alpha=\"0.12\", expect_size=\"23785472\"] \n  9 -> 16 [size =\"23785472\"]\n  9 -> 17 [size =\"23785472\"]\n  10 [size=\"160450560\", alpha=\"0.07\", expect_size=\"48135168\"] \n  10 -> 14 [size =\"48135168\"]\n  10 -> 16 [size =\"48135168\"]\n  11 [size=\"31177387\", alpha=\"0.08\", expect_size=\"9353216\"] \n  12 [size=\"104782507\", alpha=\"0.09\", expect_size=\"31434752\"] \n  12 -> 15 [size =\"31434752\"]\n  13 [size=\"49240747\", alpha=\"0.05\", expect_size=\"14772224\"] \n  14 [size=\"70184960\", alpha=\"0.18\", expect_size=\"21055488\"] \n  14 -> 19 [size =\"21055488\"]\n  14 -> 21 [size =\"21055488\"]\n  14 -> 23 [size =\"21055488\"]\n  15 [size=\"132498773\", alpha=\"0.10\", expect_size=\"39749632\"] \n  15 -> 18 [size =\"39749632\"]\n  15 -> 19 [size =\"39749632\"]\n  15 -> 23 [size =\"39749632\"]\n  16 [size=\"170963627\", alpha=\"0.07\", expect_size=\"51289088\"] \n  16 -> 19 [size =\"51289088\"]\n  16 -> 20 [size =\"51289088\"]\n  16 -> 22 [size =\"51289088\"]\n  17 [size=\"38522880\", alpha=\"0.02\", expect_size=\"11556864\"] \n  17 -> 20 [size =\"11556864\"]\n  17 -> 22 [size =\"11556864\"]\n  18 [size=\"29665280\", alpha=\"0.09\", expect_size=\"8899584\"] \n  18 -> 24 [size =\"8899584\"]\n  18 -> 26 [size =\"8899584\"]\n  18 -> 29 [size =\"8899584\"]\n  19 [size=\"165881173\", alpha=\"0.17\", expect_size=\"49764352\"] \n  19 -> 25 [size =\"49764352\"]\n  19 -> 27 [size =\"49764352\"]\n  20 [size=\"100338347\", alpha=\"0.16\", expect_size=\"30101504\"] \n  20 -> 25 [size =\"30101504\"]\n  20 -> 27 [size =\"30101504\"]\n  20 -> 29 [size =\"30101504\"]\n  21 [size=\"155354453\", alpha=\"0.06\", expect_size=\"46606336\"] \n  21 -> 25 [size =\"46606336\"]\n  21 -> 27 [size =\"46606336\"]\n  21 -> 29 [size =\"46606336\"]\n  22 [size=\"60426240\", alpha=\"0.16\", expect_size=\"18127872\"] \n  22 -> 28 [size =\"18127872\"]\n  23 [size=\"132553387\", alpha=\"0.01\", expect_size=\"39766016\"] \n  23 -> 24 [size =\"39766016\"]\n  23 -> 25 [size =\"39766016\"]\n  23 -> 26 [size =\"39766016\"]\n  23 -> 27 [size =\"39766016\"]\n  23 -> 28 [size =\"39766016\"]\n  24 [size=\"173407573\", alpha=\"0.14\", expect_size=\"52022272\"] \n  24 -> 33 [size =\"52022272\"]\n  24 -> 34 [size =\"52022272\"]\n  25 [size=\"155412480\", alpha=\"0.06\", expect_size=\"46623744\"] \n  25 -> 33 [size =\"46623744\"]\n  25 -> 34 [size =\"46623744\"]\n  25 -> 35 [size =\"46623744\"]\n  26 [size=\"74485760\", alpha=\"0.07\", expect_size=\"22345728\"] \n  26 -> 30 [size =\"22345728\"]\n  26 -> 33 [size =\"22345728\"]\n  27 [size=\"133416960\", alpha=\"0.16\", expect_size=\"40025088\"] \n  27 -> 34 [size =\"40025088\"]\n  28 [size=\"150312960\", alpha=\"0.02\", expect_size=\"45093888\"] \n  28 -> 30 [size =\"45093888\"]\n  28 -> 32 [size =\"45093888\"]\n  28 -> 33 [size =\"45093888\"]\n  29 [size=\"61221547\", alpha=\"0.16\", expect_size=\"18366464\"] \n  29 -> 30 [size =\"18366464\"]\n  29 -> 31 [size =\"18366464\"]\n  29 -> 34 [size =\"18366464\"]\n  30 [size=\"37314560\", alpha=\"0.08\", expect_size=\"11194368\"] \n  30 -> 36 [size =\"11194368\"]\n  30 -> 37 [size =\"11194368\"]\n  30 -> 39 [size =\"11194368\"]\n  31 [size=\"164894720\", alpha=\"0.02\", expect_size=\"49468416\"] \n  31 -> 37 [size =\"49468416\"]\n  31 -> 38 [size =\"49468416\"]\n  31 -> 39 [size =\"49468416\"]\n  31 -> 40 [size =\"49468416\"]\n  31 -> 41 [size =\"49468416\"]\n  32 [size=\"58173440\", alpha=\"0.07\", expect_size=\"17452032\"] \n  32 -> 41 [size =\"17452032\"]\n  33 [size=\"29566293\", alpha=\"0.16\", expect_size=\"8869888\"] \n  33 -> 36 [size =\"8869888\"]\n  33 -> 41 [size =\"8869888\"]\n  34 [size=\"41110187\", alpha=\"0.12\", expect_size=\"12333056\"] \n  34 -> 37 [size =\"12333056\"]\n  34 -> 39 [size =\"12333056\"]\n  34 -> 40 [size =\"12333056\"]\n  35 [size=\"150500693\", alpha=\"0.02\", expect_size=\"45150208\"] \n  35 -> 36 [size =\"45150208\"]\n  35 -> 37 [size =\"45150208\"]\n  35 -> 39 [size =\"45150208\"]\n  36 [size=\"40857600\", alpha=\"0.12\", expect_size=\"12257280\"] \n  37 [size=\"98324480\", alpha=\"0.04\", expect_size=\"29497344\"] \n  37 -> 45 [size =\"29497344\"]\n  38 [size=\"67423573\", alpha=\"0.18\", expect_size=\"20227072\"] \n  38 -> 42 [size =\"20227072\"]\n  38 -> 45 [size =\"20227072\"]\n  39 [size=\"84203520\", alpha=\"0.11\", expect_size=\"25261056\"] \n  39 -> 42 [size =\"25261056\"]\n  39 -> 43 [size =\"25261056\"]\n  39 -> 45 [size =\"25261056\"]\n  40 [size=\"53196800\", alpha=\"0.15\", expect_size=\"15959040\"] \n  40 -> 43 [size =\"15959040\"]\n  41 [size=\"117367467\", alpha=\"0.16\", expect_size=\"35210240\"] \n  41 -> 44 [size =\"35210240\"]\n  42 [size=\"133143893\", alpha=\"0.02\", expect_size=\"39943168\"] \n  43 [size=\"30539093\", alpha=\"0.03\", expect_size=\"9161728\"] \n  44 [size=\"155897173\", alpha=\"0.04\", expect_size=\"46769152\"] \n  45 [size=\"90071040\", alpha=\"0.03\", expect_size=\"27021312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47466496\", alpha=\"0.10\", expect_size=\"23733248\"] \n  1 -> 14 [size =\"23733248\"]\n  1 -> 16 [size =\"23733248\"]\n  1 -> 25 [size =\"23733248\"]\n  1 -> 26 [size =\"23733248\"]\n  2 [size=\"83871744\", alpha=\"0.05\", expect_size=\"41935872\"] \n  2 -> 18 [size =\"41935872\"]\n  3 [size=\"57520128\", alpha=\"0.08\", expect_size=\"28760064\"] \n  3 -> 17 [size =\"28760064\"]\n  3 -> 19 [size =\"28760064\"]\n  3 -> 24 [size =\"28760064\"]\n  3 -> 25 [size =\"28760064\"]\n  4 [size=\"82622464\", alpha=\"0.05\", expect_size=\"41311232\"] \n  4 -> 14 [size =\"41311232\"]\n  4 -> 15 [size =\"41311232\"]\n  4 -> 17 [size =\"41311232\"]\n  4 -> 23 [size =\"41311232\"]\n  4 -> 28 [size =\"41311232\"]\n  5 [size=\"11749376\", alpha=\"0.01\", expect_size=\"5874688\"] \n  5 -> 14 [size =\"5874688\"]\n  5 -> 18 [size =\"5874688\"]\n  5 -> 21 [size =\"5874688\"]\n  5 -> 23 [size =\"5874688\"]\n  5 -> 24 [size =\"5874688\"]\n  5 -> 25 [size =\"5874688\"]\n  6 [size=\"80371712\", alpha=\"0.15\", expect_size=\"40185856\"] \n  6 -> 14 [size =\"40185856\"]\n  6 -> 18 [size =\"40185856\"]\n  6 -> 24 [size =\"40185856\"]\n  7 [size=\"74215424\", alpha=\"0.18\", expect_size=\"37107712\"] \n  7 -> 16 [size =\"37107712\"]\n  7 -> 22 [size =\"37107712\"]\n  7 -> 24 [size =\"37107712\"]\n  8 [size=\"71548928\", alpha=\"0.03\", expect_size=\"35774464\"] \n  8 -> 14 [size =\"35774464\"]\n  8 -> 15 [size =\"35774464\"]\n  8 -> 16 [size =\"35774464\"]\n  8 -> 22 [size =\"35774464\"]\n  8 -> 23 [size =\"35774464\"]\n  8 -> 25 [size =\"35774464\"]\n  9 [size=\"26118144\", alpha=\"0.02\", expect_size=\"13059072\"] \n  9 -> 14 [size =\"13059072\"]\n  9 -> 15 [size =\"13059072\"]\n  9 -> 16 [size =\"13059072\"]\n  9 -> 17 [size =\"13059072\"]\n  9 -> 20 [size =\"13059072\"]\n  9 -> 22 [size =\"13059072\"]\n  9 -> 23 [size =\"13059072\"]\n  9 -> 25 [size =\"13059072\"]\n  9 -> 26 [size =\"13059072\"]\n  9 -> 28 [size =\"13059072\"]\n  10 [size=\"39964672\", alpha=\"0.16\", expect_size=\"19982336\"] \n  10 -> 14 [size =\"19982336\"]\n  10 -> 22 [size =\"19982336\"]\n  10 -> 24 [size =\"19982336\"]\n  10 -> 25 [size =\"19982336\"]\n  10 -> 26 [size =\"19982336\"]\n  10 -> 28 [size =\"19982336\"]\n  11 [size=\"27379712\", alpha=\"0.16\", expect_size=\"13689856\"] \n  11 -> 21 [size =\"13689856\"]\n  11 -> 22 [size =\"13689856\"]\n  11 -> 24 [size =\"13689856\"]\n  11 -> 25 [size =\"13689856\"]\n  12 [size=\"74516480\", alpha=\"0.19\", expect_size=\"37258240\"] \n  12 -> 15 [size =\"37258240\"]\n  12 -> 17 [size =\"37258240\"]\n  12 -> 19 [size =\"37258240\"]\n  12 -> 21 [size =\"37258240\"]\n  12 -> 22 [size =\"37258240\"]\n  12 -> 26 [size =\"37258240\"]\n  12 -> 27 [size =\"37258240\"]\n  13 [size=\"96131072\", alpha=\"0.06\", expect_size=\"48065536\"] \n  13 -> 16 [size =\"48065536\"]\n  13 -> 22 [size =\"48065536\"]\n  13 -> 26 [size =\"48065536\"]\n  13 -> 27 [size =\"48065536\"]\n  13 -> 28 [size =\"48065536\"]\n  14 [size=\"37642240\", alpha=\"0.01\", expect_size=\"18821120\"] \n  14 -> 36 [size =\"18821120\"]\n  14 -> 39 [size =\"18821120\"]\n  14 -> 40 [size =\"18821120\"]\n  14 -> 42 [size =\"18821120\"]\n  15 [size=\"60184576\", alpha=\"0.09\", expect_size=\"30092288\"] \n  15 -> 29 [size =\"30092288\"]\n  15 -> 31 [size =\"30092288\"]\n  15 -> 32 [size =\"30092288\"]\n  15 -> 33 [size =\"30092288\"]\n  15 -> 35 [size =\"30092288\"]\n  15 -> 39 [size =\"30092288\"]\n  15 -> 40 [size =\"30092288\"]\n  15 -> 42 [size =\"30092288\"]\n  16 [size=\"63408128\", alpha=\"0.02\", expect_size=\"31704064\"] \n  16 -> 29 [size =\"31704064\"]\n  16 -> 31 [size =\"31704064\"]\n  16 -> 32 [size =\"31704064\"]\n  16 -> 37 [size =\"31704064\"]\n  16 -> 39 [size =\"31704064\"]\n  17 [size=\"38338560\", alpha=\"0.07\", expect_size=\"19169280\"] \n  17 -> 30 [size =\"19169280\"]\n  17 -> 32 [size =\"19169280\"]\n  17 -> 32 [size =\"19169280\"]\n  17 -> 37 [size =\"19169280\"]\n  18 [size=\"26927104\", alpha=\"0.13\", expect_size=\"13463552\"] \n  18 -> 29 [size =\"13463552\"]\n  18 -> 30 [size =\"13463552\"]\n  18 -> 31 [size =\"13463552\"]\n  18 -> 32 [size =\"13463552\"]\n  18 -> 37 [size =\"13463552\"]\n  19 [size=\"42024960\", alpha=\"0.04\", expect_size=\"21012480\"] \n  19 -> 31 [size =\"21012480\"]\n  19 -> 32 [size =\"21012480\"]\n  19 -> 37 [size =\"21012480\"]\n  19 -> 38 [size =\"21012480\"]\n  19 -> 42 [size =\"21012480\"]\n  20 [size=\"51542016\", alpha=\"0.11\", expect_size=\"25771008\"] \n  20 -> 30 [size =\"25771008\"]\n  20 -> 32 [size =\"25771008\"]\n  21 [size=\"32847872\", alpha=\"0.07\", expect_size=\"16423936\"] \n  21 -> 30 [size =\"16423936\"]\n  21 -> 37 [size =\"16423936\"]\n  21 -> 38 [size =\"16423936\"]\n  21 -> 40 [size =\"16423936\"]\n  21 -> 42 [size =\"16423936\"]\n  22 [size=\"14065664\", alpha=\"0.18\", expect_size=\"7032832\"] \n  22 -> 30 [size =\"7032832\"]\n  22 -> 33 [size =\"7032832\"]\n  22 -> 35 [size =\"7032832\"]\n  22 -> 38 [size =\"7032832\"]\n  23 [size=\"11182080\", alpha=\"0.19\", expect_size=\"5591040\"] \n  23 -> 30 [size =\"5591040\"]\n  23 -> 31 [size =\"5591040\"]\n  23 -> 35 [size =\"5591040\"]\n  23 -> 37 [size =\"5591040\"]\n  23 -> 39 [size =\"5591040\"]\n  23 -> 40 [size =\"5591040\"]\n  24 [size=\"38699008\", alpha=\"0.15\", expect_size=\"19349504\"] \n  24 -> 30 [size =\"19349504\"]\n  24 -> 33 [size =\"19349504\"]\n  24 -> 35 [size =\"19349504\"]\n  24 -> 39 [size =\"19349504\"]\n  24 -> 41 [size =\"19349504\"]\n  25 [size=\"43194368\", alpha=\"0.12\", expect_size=\"21597184\"] \n  25 -> 31 [size =\"21597184\"]\n  25 -> 32 [size =\"21597184\"]\n  25 -> 40 [size =\"21597184\"]\n  26 [size=\"86583296\", alpha=\"0.04\", expect_size=\"43291648\"] \n  26 -> 31 [size =\"43291648\"]\n  26 -> 33 [size =\"43291648\"]\n  26 -> 34 [size =\"43291648\"]\n  26 -> 38 [size =\"43291648\"]\n  27 [size=\"96927744\", alpha=\"0.09\", expect_size=\"48463872\"] \n  27 -> 30 [size =\"48463872\"]\n  27 -> 31 [size =\"48463872\"]\n  27 -> 33 [size =\"48463872\"]\n  27 -> 35 [size =\"48463872\"]\n  27 -> 37 [size =\"48463872\"]\n  27 -> 39 [size =\"48463872\"]\n  28 [size=\"33734656\", alpha=\"0.06\", expect_size=\"16867328\"] \n  28 -> 31 [size =\"16867328\"]\n  28 -> 35 [size =\"16867328\"]\n  28 -> 38 [size =\"16867328\"]\n  28 -> 40 [size =\"16867328\"]\n  28 -> 42 [size =\"16867328\"]\n  29 [size=\"95410176\", alpha=\"0.08\", expect_size=\"47705088\"] \n  29 -> 43 [size =\"47705088\"]\n  29 -> 45 [size =\"47705088\"]\n  30 [size=\"17971200\", alpha=\"0.15\", expect_size=\"8985600\"] \n  31 [size=\"71376896\", alpha=\"0.06\", expect_size=\"35688448\"] \n  31 -> 44 [size =\"35688448\"]\n  31 -> 45 [size =\"35688448\"]\n  32 [size=\"103866368\", alpha=\"0.11\", expect_size=\"51933184\"] \n  33 [size=\"94453760\", alpha=\"0.14\", expect_size=\"47226880\"] \n  34 [size=\"90175488\", alpha=\"0.02\", expect_size=\"45087744\"] \n  35 [size=\"68800512\", alpha=\"0.01\", expect_size=\"34400256\"] \n  35 -> 45 [size =\"34400256\"]\n  36 [size=\"31590400\", alpha=\"0.11\", expect_size=\"15795200\"] \n  37 [size=\"48435200\", alpha=\"0.08\", expect_size=\"24217600\"] \n  37 -> 44 [size =\"24217600\"]\n  38 [size=\"88690688\", alpha=\"0.07\", expect_size=\"44345344\"] \n  38 -> 45 [size =\"44345344\"]\n  39 [size=\"24680448\", alpha=\"0.14\", expect_size=\"12340224\"] \n  39 -> 44 [size =\"12340224\"]\n  39 -> 45 [size =\"12340224\"]\n  40 [size=\"60780544\", alpha=\"0.09\", expect_size=\"30390272\"] \n  40 -> 43 [size =\"30390272\"]\n  40 -> 45 [size =\"30390272\"]\n  41 [size=\"37730304\", alpha=\"0.08\", expect_size=\"18865152\"] \n  41 -> 43 [size =\"18865152\"]\n  41 -> 45 [size =\"18865152\"]\n  42 [size=\"66793472\", alpha=\"0.09\", expect_size=\"33396736\"] \n  42 -> 43 [size =\"33396736\"]\n  42 -> 44 [size =\"33396736\"]\n  43 [size=\"23261184\", alpha=\"0.10\", expect_size=\"11630592\"] \n  44 [size=\"87148544\", alpha=\"0.16\", expect_size=\"43574272\"] \n  45 [size=\"96870400\", alpha=\"0.10\", expect_size=\"48435200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39137280\", alpha=\"0.05\", expect_size=\"19568640\"] \n  1 -> 36 [size =\"19568640\"]\n  1 -> 40 [size =\"19568640\"]\n  1 -> 42 [size =\"19568640\"]\n  2 [size=\"51781632\", alpha=\"0.17\", expect_size=\"25890816\"] \n  2 -> 36 [size =\"25890816\"]\n  2 -> 39 [size =\"25890816\"]\n  2 -> 42 [size =\"25890816\"]\n  3 [size=\"83712000\", alpha=\"0.10\", expect_size=\"41856000\"] \n  3 -> 33 [size =\"41856000\"]\n  3 -> 34 [size =\"41856000\"]\n  3 -> 36 [size =\"41856000\"]\n  3 -> 43 [size =\"41856000\"]\n  4 [size=\"23883776\", alpha=\"0.07\", expect_size=\"11941888\"] \n  4 -> 34 [size =\"11941888\"]\n  4 -> 36 [size =\"11941888\"]\n  4 -> 44 [size =\"11941888\"]\n  5 [size=\"79828992\", alpha=\"0.17\", expect_size=\"39914496\"] \n  6 [size=\"98781184\", alpha=\"0.01\", expect_size=\"49390592\"] \n  6 -> 41 [size =\"49390592\"]\n  6 -> 42 [size =\"49390592\"]\n  6 -> 43 [size =\"49390592\"]\n  7 [size=\"37746688\", alpha=\"0.11\", expect_size=\"18873344\"] \n  7 -> 33 [size =\"18873344\"]\n  7 -> 35 [size =\"18873344\"]\n  7 -> 36 [size =\"18873344\"]\n  7 -> 39 [size =\"18873344\"]\n  7 -> 42 [size =\"18873344\"]\n  7 -> 43 [size =\"18873344\"]\n  8 [size=\"53567488\", alpha=\"0.12\", expect_size=\"26783744\"] \n  8 -> 35 [size =\"26783744\"]\n  8 -> 36 [size =\"26783744\"]\n  8 -> 37 [size =\"26783744\"]\n  8 -> 40 [size =\"26783744\"]\n  8 -> 42 [size =\"26783744\"]\n  8 -> 43 [size =\"26783744\"]\n  9 [size=\"32690176\", alpha=\"0.07\", expect_size=\"16345088\"] \n  9 -> 33 [size =\"16345088\"]\n  9 -> 34 [size =\"16345088\"]\n  9 -> 36 [size =\"16345088\"]\n  9 -> 37 [size =\"16345088\"]\n  9 -> 44 [size =\"16345088\"]\n  10 [size=\"71356416\", alpha=\"0.04\", expect_size=\"35678208\"] \n  10 -> 42 [size =\"35678208\"]\n  10 -> 43 [size =\"35678208\"]\n  11 [size=\"88848384\", alpha=\"0.04\", expect_size=\"44424192\"] \n  11 -> 37 [size =\"44424192\"]\n  11 -> 39 [size =\"44424192\"]\n  11 -> 43 [size =\"44424192\"]\n  12 [size=\"18845696\", alpha=\"0.08\", expect_size=\"9422848\"] \n  12 -> 36 [size =\"9422848\"]\n  12 -> 44 [size =\"9422848\"]\n  13 [size=\"100528128\", alpha=\"0.06\", expect_size=\"50264064\"] \n  13 -> 36 [size =\"50264064\"]\n  14 [size=\"54726656\", alpha=\"0.20\", expect_size=\"27363328\"] \n  14 -> 34 [size =\"27363328\"]\n  14 -> 36 [size =\"27363328\"]\n  14 -> 37 [size =\"27363328\"]\n  14 -> 41 [size =\"27363328\"]\n  15 [size=\"89131008\", alpha=\"0.13\", expect_size=\"44565504\"] \n  15 -> 37 [size =\"44565504\"]\n  15 -> 39 [size =\"44565504\"]\n  15 -> 40 [size =\"44565504\"]\n  16 [size=\"77086720\", alpha=\"0.11\", expect_size=\"38543360\"] \n  16 -> 33 [size =\"38543360\"]\n  17 [size=\"82642944\", alpha=\"0.18\", expect_size=\"41321472\"] \n  17 -> 33 [size =\"41321472\"]\n  18 [size=\"42461184\", alpha=\"0.04\", expect_size=\"21230592\"] \n  18 -> 34 [size =\"21230592\"]\n  18 -> 43 [size =\"21230592\"]\n  19 [size=\"98822144\", alpha=\"0.15\", expect_size=\"49411072\"] \n  20 [size=\"36544512\", alpha=\"0.01\", expect_size=\"18272256\"] \n  20 -> 33 [size =\"18272256\"]\n  20 -> 38 [size =\"18272256\"]\n  20 -> 42 [size =\"18272256\"]\n  20 -> 43 [size =\"18272256\"]\n  21 [size=\"55498752\", alpha=\"0.14\", expect_size=\"27749376\"] \n  21 -> 40 [size =\"27749376\"]\n  21 -> 43 [size =\"27749376\"]\n  22 [size=\"74784768\", alpha=\"0.15\", expect_size=\"37392384\"] \n  22 -> 34 [size =\"37392384\"]\n  22 -> 35 [size =\"37392384\"]\n  22 -> 41 [size =\"37392384\"]\n  23 [size=\"20217856\", alpha=\"0.12\", expect_size=\"10108928\"] \n  24 [size=\"49965056\", alpha=\"0.11\", expect_size=\"24982528\"] \n  24 -> 33 [size =\"24982528\"]\n  25 [size=\"49219584\", alpha=\"0.05\", expect_size=\"24609792\"] \n  25 -> 33 [size =\"24609792\"]\n  25 -> 37 [size =\"24609792\"]\n  25 -> 43 [size =\"24609792\"]\n  26 [size=\"15540224\", alpha=\"0.18\", expect_size=\"7770112\"] \n  26 -> 33 [size =\"7770112\"]\n  26 -> 34 [size =\"7770112\"]\n  26 -> 37 [size =\"7770112\"]\n  26 -> 43 [size =\"7770112\"]\n  27 [size=\"67948544\", alpha=\"0.17\", expect_size=\"33974272\"] \n  27 -> 34 [size =\"33974272\"]\n  27 -> 42 [size =\"33974272\"]\n  27 -> 43 [size =\"33974272\"]\n  27 -> 43 [size =\"33974272\"]\n  28 [size=\"57399296\", alpha=\"0.05\", expect_size=\"28699648\"] \n  28 -> 43 [size =\"28699648\"]\n  29 [size=\"77670400\", alpha=\"0.17\", expect_size=\"38835200\"] \n  29 -> 36 [size =\"38835200\"]\n  29 -> 38 [size =\"38835200\"]\n  29 -> 44 [size =\"38835200\"]\n  29 -> 45 [size =\"38835200\"]\n  30 [size=\"54276096\", alpha=\"0.03\", expect_size=\"27138048\"] \n  30 -> 36 [size =\"27138048\"]\n  31 [size=\"60780544\", alpha=\"0.05\", expect_size=\"30390272\"] \n  31 -> 33 [size =\"30390272\"]\n  31 -> 37 [size =\"30390272\"]\n  31 -> 42 [size =\"30390272\"]\n  32 [size=\"31465472\", alpha=\"0.09\", expect_size=\"15732736\"] \n  32 -> 33 [size =\"15732736\"]\n  32 -> 36 [size =\"15732736\"]\n  32 -> 37 [size =\"15732736\"]\n  32 -> 42 [size =\"15732736\"]\n  32 -> 43 [size =\"15732736\"]\n  33 [size=\"102002688\", alpha=\"0.12\", expect_size=\"51001344\"] \n  34 [size=\"62500864\", alpha=\"0.04\", expect_size=\"31250432\"] \n  35 [size=\"20729856\", alpha=\"0.13\", expect_size=\"10364928\"] \n  36 [size=\"46036992\", alpha=\"0.16\", expect_size=\"23018496\"] \n  37 [size=\"37974016\", alpha=\"0.14\", expect_size=\"18987008\"] \n  38 [size=\"23801856\", alpha=\"0.19\", expect_size=\"11900928\"] \n  39 [size=\"46604288\", alpha=\"0.03\", expect_size=\"23302144\"] \n  40 [size=\"34213888\", alpha=\"0.13\", expect_size=\"17106944\"] \n  41 [size=\"47503360\", alpha=\"0.12\", expect_size=\"23751680\"] \n  42 [size=\"70463488\", alpha=\"0.04\", expect_size=\"35231744\"] \n  43 [size=\"17086464\", alpha=\"0.19\", expect_size=\"8543232\"] \n  44 [size=\"71784448\", alpha=\"0.02\", expect_size=\"35892224\"] \n  45 [size=\"90056704\", alpha=\"0.13\", expect_size=\"45028352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38663680\", alpha=\"0.01\", expect_size=\"15465472\"] \n  2 [size=\"84605440\", alpha=\"0.05\", expect_size=\"33842176\"] \n  3 [size=\"95631360\", alpha=\"0.01\", expect_size=\"38252544\"] \n  3 -> 44 [size =\"38252544\"]\n  4 [size=\"29173760\", alpha=\"0.11\", expect_size=\"11669504\"] \n  4 -> 44 [size =\"11669504\"]\n  5 [size=\"98009600\", alpha=\"0.19\", expect_size=\"39203840\"] \n  5 -> 44 [size =\"39203840\"]\n  6 [size=\"100451840\", alpha=\"0.11\", expect_size=\"40180736\"] \n  6 -> 44 [size =\"40180736\"]\n  7 [size=\"15493120\", alpha=\"0.14\", expect_size=\"6197248\"] \n  8 [size=\"23354880\", alpha=\"0.11\", expect_size=\"9341952\"] \n  8 -> 44 [size =\"9341952\"]\n  9 [size=\"117478400\", alpha=\"0.03\", expect_size=\"46991360\"] \n  10 [size=\"85132800\", alpha=\"0.02\", expect_size=\"34053120\"] \n  10 -> 44 [size =\"34053120\"]\n  11 [size=\"17794560\", alpha=\"0.11\", expect_size=\"7117824\"] \n  12 [size=\"25556480\", alpha=\"0.17\", expect_size=\"10222592\"] \n  12 -> 44 [size =\"10222592\"]\n  13 [size=\"55900160\", alpha=\"0.00\", expect_size=\"22360064\"] \n  13 -> 44 [size =\"22360064\"]\n  14 [size=\"61916160\", alpha=\"0.18\", expect_size=\"24766464\"] \n  14 -> 44 [size =\"24766464\"]\n  15 [size=\"124369920\", alpha=\"0.09\", expect_size=\"49747968\"] \n  16 [size=\"115960320\", alpha=\"0.19\", expect_size=\"46384128\"] \n  16 -> 44 [size =\"46384128\"]\n  17 [size=\"63854080\", alpha=\"0.04\", expect_size=\"25541632\"] \n  17 -> 44 [size =\"25541632\"]\n  18 [size=\"28390400\", alpha=\"0.15\", expect_size=\"11356160\"] \n  18 -> 44 [size =\"11356160\"]\n  19 [size=\"93893120\", alpha=\"0.18\", expect_size=\"37557248\"] \n  20 [size=\"110627840\", alpha=\"0.02\", expect_size=\"44251136\"] \n  21 [size=\"120363520\", alpha=\"0.10\", expect_size=\"48145408\"] \n  22 [size=\"67517440\", alpha=\"0.10\", expect_size=\"27006976\"] \n  23 [size=\"50920960\", alpha=\"0.05\", expect_size=\"20368384\"] \n  23 -> 44 [size =\"20368384\"]\n  24 [size=\"52674560\", alpha=\"0.02\", expect_size=\"21069824\"] \n  24 -> 44 [size =\"21069824\"]\n  25 [size=\"41512960\", alpha=\"0.13\", expect_size=\"16605184\"] \n  25 -> 44 [size =\"16605184\"]\n  26 [size=\"94223360\", alpha=\"0.19\", expect_size=\"37689344\"] \n  27 [size=\"88627200\", alpha=\"0.06\", expect_size=\"35450880\"] \n  27 -> 44 [size =\"35450880\"]\n  27 -> 45 [size =\"35450880\"]\n  28 [size=\"113963520\", alpha=\"0.14\", expect_size=\"45585408\"] \n  28 -> 44 [size =\"45585408\"]\n  29 [size=\"84467200\", alpha=\"0.00\", expect_size=\"33786880\"] \n  30 [size=\"72350720\", alpha=\"0.19\", expect_size=\"28940288\"] \n  31 [size=\"82984960\", alpha=\"0.18\", expect_size=\"33193984\"] \n  32 [size=\"23964160\", alpha=\"0.19\", expect_size=\"9585664\"] \n  33 [size=\"84751360\", alpha=\"0.07\", expect_size=\"33900544\"] \n  34 [size=\"111946240\", alpha=\"0.04\", expect_size=\"44778496\"] \n  35 [size=\"121612800\", alpha=\"0.20\", expect_size=\"48645120\"] \n  35 -> 44 [size =\"48645120\"]\n  36 [size=\"80691200\", alpha=\"0.13\", expect_size=\"32276480\"] \n  37 [size=\"76531200\", alpha=\"0.14\", expect_size=\"30612480\"] \n  38 [size=\"111516160\", alpha=\"0.19\", expect_size=\"44606464\"] \n  38 -> 44 [size =\"44606464\"]\n  39 [size=\"77928960\", alpha=\"0.16\", expect_size=\"31171584\"] \n  40 [size=\"80148480\", alpha=\"0.11\", expect_size=\"32059392\"] \n  41 [size=\"72230400\", alpha=\"0.04\", expect_size=\"28892160\"] \n  42 [size=\"58867200\", alpha=\"0.05\", expect_size=\"23546880\"] \n  43 [size=\"52510720\", alpha=\"0.14\", expect_size=\"21004288\"] \n  43 -> 44 [size =\"21004288\"]\n  44 [size=\"95953920\", alpha=\"0.09\", expect_size=\"38381568\"] \n  45 [size=\"120043520\", alpha=\"0.08\", expect_size=\"48017408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34199040\", alpha=\"0.04\", expect_size=\"13679616\"] \n  1 -> 2 [size =\"13679616\"]\n  2 [size=\"122918400\", alpha=\"0.11\", expect_size=\"49167360\"] \n  2 -> 3 [size =\"49167360\"]\n  3 [size=\"22090240\", alpha=\"0.03\", expect_size=\"8836096\"] \n  3 -> 4 [size =\"8836096\"]\n  4 [size=\"117191680\", alpha=\"0.03\", expect_size=\"46876672\"] \n  4 -> 5 [size =\"46876672\"]\n  5 [size=\"90964480\", alpha=\"0.09\", expect_size=\"36385792\"] \n  5 -> 6 [size =\"36385792\"]\n  6 [size=\"56435200\", alpha=\"0.18\", expect_size=\"22574080\"] \n  6 -> 7 [size =\"22574080\"]\n  7 [size=\"110423040\", alpha=\"0.19\", expect_size=\"44169216\"] \n  7 -> 8 [size =\"44169216\"]\n  8 [size=\"96942080\", alpha=\"0.11\", expect_size=\"38776832\"] \n  8 -> 9 [size =\"38776832\"]\n  9 [size=\"64652800\", alpha=\"0.19\", expect_size=\"25861120\"] \n  9 -> 10 [size =\"25861120\"]\n  10 [size=\"98670080\", alpha=\"0.01\", expect_size=\"39468032\"] \n  10 -> 11 [size =\"39468032\"]\n  11 [size=\"88304640\", alpha=\"0.11\", expect_size=\"35321856\"] \n  11 -> 12 [size =\"35321856\"]\n  12 [size=\"111091200\", alpha=\"0.09\", expect_size=\"44436480\"] \n  12 -> 13 [size =\"44436480\"]\n  13 [size=\"59456000\", alpha=\"0.05\", expect_size=\"23782400\"] \n  13 -> 14 [size =\"23782400\"]\n  14 [size=\"77386240\", alpha=\"0.09\", expect_size=\"30954496\"] \n  14 -> 15 [size =\"30954496\"]\n  15 [size=\"94789120\", alpha=\"0.14\", expect_size=\"37915648\"] \n  15 -> 16 [size =\"37915648\"]\n  16 [size=\"30187520\", alpha=\"0.06\", expect_size=\"12075008\"] \n  16 -> 17 [size =\"12075008\"]\n  17 [size=\"19563520\", alpha=\"0.13\", expect_size=\"7825408\"] \n  17 -> 18 [size =\"7825408\"]\n  18 [size=\"16194560\", alpha=\"0.14\", expect_size=\"6477824\"] \n  18 -> 19 [size =\"6477824\"]\n  19 [size=\"81676800\", alpha=\"0.07\", expect_size=\"32670720\"] \n  19 -> 20 [size =\"32670720\"]\n  20 [size=\"76349440\", alpha=\"0.19\", expect_size=\"30539776\"] \n  20 -> 21 [size =\"30539776\"]\n  21 [size=\"80698880\", alpha=\"0.14\", expect_size=\"32279552\"] \n  21 -> 22 [size =\"32279552\"]\n  22 [size=\"29534720\", alpha=\"0.09\", expect_size=\"11813888\"] \n  22 -> 23 [size =\"11813888\"]\n  23 [size=\"85163520\", alpha=\"0.04\", expect_size=\"34065408\"] \n  23 -> 24 [size =\"34065408\"]\n  24 [size=\"112025600\", alpha=\"0.18\", expect_size=\"44810240\"] \n  24 -> 25 [size =\"44810240\"]\n  25 [size=\"47623680\", alpha=\"0.04\", expect_size=\"19049472\"] \n  25 -> 26 [size =\"19049472\"]\n  26 [size=\"128939520\", alpha=\"0.18\", expect_size=\"51575808\"] \n  26 -> 27 [size =\"51575808\"]\n  27 [size=\"48002560\", alpha=\"0.09\", expect_size=\"19201024\"] \n  27 -> 28 [size =\"19201024\"]\n  28 [size=\"123752960\", alpha=\"0.14\", expect_size=\"49501184\"] \n  28 -> 29 [size =\"49501184\"]\n  29 [size=\"89894400\", alpha=\"0.07\", expect_size=\"35957760\"] \n  29 -> 30 [size =\"35957760\"]\n  30 [size=\"128407040\", alpha=\"0.15\", expect_size=\"51362816\"] \n  30 -> 31 [size =\"51362816\"]\n  31 [size=\"120179200\", alpha=\"0.16\", expect_size=\"48071680\"] \n  31 -> 32 [size =\"48071680\"]\n  32 [size=\"86307840\", alpha=\"0.13\", expect_size=\"34523136\"] \n  32 -> 33 [size =\"34523136\"]\n  33 [size=\"18639360\", alpha=\"0.18\", expect_size=\"7455744\"] \n  33 -> 34 [size =\"7455744\"]\n  34 [size=\"44124160\", alpha=\"0.14\", expect_size=\"17649664\"] \n  34 -> 35 [size =\"17649664\"]\n  35 [size=\"30919680\", alpha=\"0.04\", expect_size=\"12367872\"] \n  35 -> 36 [size =\"12367872\"]\n  36 [size=\"56883200\", alpha=\"0.17\", expect_size=\"22753280\"] \n  36 -> 37 [size =\"22753280\"]\n  37 [size=\"47380480\", alpha=\"0.11\", expect_size=\"18952192\"] \n  37 -> 38 [size =\"18952192\"]\n  38 [size=\"99729920\", alpha=\"0.05\", expect_size=\"39891968\"] \n  38 -> 39 [size =\"39891968\"]\n  39 [size=\"61836800\", alpha=\"0.11\", expect_size=\"24734720\"] \n  39 -> 40 [size =\"24734720\"]\n  40 [size=\"103211520\", alpha=\"0.08\", expect_size=\"41284608\"] \n  40 -> 41 [size =\"41284608\"]\n  41 [size=\"73492480\", alpha=\"0.16\", expect_size=\"29396992\"] \n  41 -> 42 [size =\"29396992\"]\n  42 [size=\"47877120\", alpha=\"0.07\", expect_size=\"19150848\"] \n  42 -> 43 [size =\"19150848\"]\n  43 [size=\"124349440\", alpha=\"0.11\", expect_size=\"49739776\"] \n  43 -> 44 [size =\"49739776\"]\n  44 [size=\"113328640\", alpha=\"0.11\", expect_size=\"45331456\"] \n  44 -> 45 [size =\"45331456\"]\n  45 [size=\"79093760\", alpha=\"0.16\", expect_size=\"31637504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40366080\", alpha=\"0.05\", expect_size=\"12109824\"] \n  1 -> 4 [size =\"12109824\"]\n  1 -> 5 [size =\"12109824\"]\n  2 [size=\"126750720\", alpha=\"0.09\", expect_size=\"38025216\"] \n  2 -> 3 [size =\"38025216\"]\n  2 -> 4 [size =\"38025216\"]\n  2 -> 5 [size =\"38025216\"]\n  3 [size=\"174493013\", alpha=\"0.09\", expect_size=\"52347904\"] \n  3 -> 6 [size =\"52347904\"]\n  3 -> 8 [size =\"52347904\"]\n  3 -> 9 [size =\"52347904\"]\n  4 [size=\"89586347\", alpha=\"0.08\", expect_size=\"26875904\"] \n  4 -> 6 [size =\"26875904\"]\n  5 [size=\"174127787\", alpha=\"0.03\", expect_size=\"52238336\"] \n  5 -> 6 [size =\"52238336\"]\n  5 -> 7 [size =\"52238336\"]\n  5 -> 8 [size =\"52238336\"]\n  6 [size=\"75311787\", alpha=\"0.01\", expect_size=\"22593536\"] \n  6 -> 11 [size =\"22593536\"]\n  6 -> 12 [size =\"22593536\"]\n  7 [size=\"35536213\", alpha=\"0.01\", expect_size=\"10660864\"] \n  7 -> 10 [size =\"10660864\"]\n  8 [size=\"74533547\", alpha=\"0.19\", expect_size=\"22360064\"] \n  8 -> 10 [size =\"22360064\"]\n  8 -> 12 [size =\"22360064\"]\n  9 [size=\"72987307\", alpha=\"0.05\", expect_size=\"21896192\"] \n  10 [size=\"150183253\", alpha=\"0.08\", expect_size=\"45054976\"] \n  10 -> 13 [size =\"45054976\"]\n  10 -> 14 [size =\"45054976\"]\n  11 [size=\"130362027\", alpha=\"0.04\", expect_size=\"39108608\"] \n  11 -> 13 [size =\"39108608\"]\n  12 [size=\"173045760\", alpha=\"0.10\", expect_size=\"51913728\"] \n  12 -> 13 [size =\"51913728\"]\n  13 [size=\"89722880\", alpha=\"0.01\", expect_size=\"26916864\"] \n  14 [size=\"159344640\", alpha=\"0.15\", expect_size=\"47803392\"] \n  14 -> 15 [size =\"47803392\"]\n  14 -> 16 [size =\"47803392\"]\n  14 -> 17 [size =\"47803392\"]\n  14 -> 18 [size =\"47803392\"]\n  15 [size=\"67440640\", alpha=\"0.02\", expect_size=\"20232192\"] \n  16 [size=\"89436160\", alpha=\"0.00\", expect_size=\"26830848\"] \n  16 -> 19 [size =\"26830848\"]\n  16 -> 20 [size =\"26830848\"]\n  17 [size=\"99290453\", alpha=\"0.04\", expect_size=\"29787136\"] \n  18 [size=\"106612053\", alpha=\"0.07\", expect_size=\"31983616\"] \n  19 [size=\"100529493\", alpha=\"0.12\", expect_size=\"30158848\"] \n  19 -> 23 [size =\"30158848\"]\n  19 -> 24 [size =\"30158848\"]\n  20 [size=\"137775787\", alpha=\"0.11\", expect_size=\"41332736\"] \n  20 -> 21 [size =\"41332736\"]\n  20 -> 22 [size =\"41332736\"]\n  20 -> 23 [size =\"41332736\"]\n  21 [size=\"45421227\", alpha=\"0.13\", expect_size=\"13626368\"] \n  21 -> 25 [size =\"13626368\"]\n  21 -> 28 [size =\"13626368\"]\n  22 [size=\"76567893\", alpha=\"0.09\", expect_size=\"22970368\"] \n  22 -> 25 [size =\"22970368\"]\n  22 -> 26 [size =\"22970368\"]\n  22 -> 27 [size =\"22970368\"]\n  22 -> 28 [size =\"22970368\"]\n  23 [size=\"154084693\", alpha=\"0.05\", expect_size=\"46225408\"] \n  23 -> 27 [size =\"46225408\"]\n  24 [size=\"161368747\", alpha=\"0.10\", expect_size=\"48410624\"] \n  24 -> 25 [size =\"48410624\"]\n  24 -> 26 [size =\"48410624\"]\n  25 [size=\"121842347\", alpha=\"0.15\", expect_size=\"36552704\"] \n  25 -> 32 [size =\"36552704\"]\n  26 [size=\"135843840\", alpha=\"0.07\", expect_size=\"40753152\"] \n  26 -> 31 [size =\"40753152\"]\n  27 [size=\"136789333\", alpha=\"0.01\", expect_size=\"41036800\"] \n  27 -> 29 [size =\"41036800\"]\n  27 -> 32 [size =\"41036800\"]\n  28 [size=\"171284480\", alpha=\"0.03\", expect_size=\"51385344\"] \n  28 -> 30 [size =\"51385344\"]\n  28 -> 32 [size =\"51385344\"]\n  29 [size=\"71171413\", alpha=\"0.12\", expect_size=\"21351424\"] \n  30 [size=\"163840000\", alpha=\"0.18\", expect_size=\"49152000\"] \n  30 -> 33 [size =\"49152000\"]\n  31 [size=\"91951787\", alpha=\"0.18\", expect_size=\"27585536\"] \n  31 -> 33 [size =\"27585536\"]\n  32 [size=\"35682987\", alpha=\"0.18\", expect_size=\"10704896\"] \n  32 -> 33 [size =\"10704896\"]\n  33 [size=\"104314880\", alpha=\"0.07\", expect_size=\"31294464\"] \n  33 -> 34 [size =\"31294464\"]\n  33 -> 35 [size =\"31294464\"]\n  34 [size=\"140288000\", alpha=\"0.14\", expect_size=\"42086400\"] \n  34 -> 36 [size =\"42086400\"]\n  35 [size=\"58432853\", alpha=\"0.08\", expect_size=\"17529856\"] \n  35 -> 36 [size =\"17529856\"]\n  35 -> 37 [size =\"17529856\"]\n  36 [size=\"172687360\", alpha=\"0.10\", expect_size=\"51806208\"] \n  36 -> 38 [size =\"51806208\"]\n  36 -> 39 [size =\"51806208\"]\n  36 -> 40 [size =\"51806208\"]\n  37 [size=\"69031253\", alpha=\"0.03\", expect_size=\"20709376\"] \n  37 -> 38 [size =\"20709376\"]\n  37 -> 39 [size =\"20709376\"]\n  37 -> 40 [size =\"20709376\"]\n  38 [size=\"80097280\", alpha=\"0.08\", expect_size=\"24029184\"] \n  38 -> 41 [size =\"24029184\"]\n  38 -> 42 [size =\"24029184\"]\n  39 [size=\"105659733\", alpha=\"0.03\", expect_size=\"31697920\"] \n  39 -> 41 [size =\"31697920\"]\n  40 [size=\"43943253\", alpha=\"0.13\", expect_size=\"13182976\"] \n  41 [size=\"27661653\", alpha=\"0.07\", expect_size=\"8298496\"] \n  41 -> 43 [size =\"8298496\"]\n  41 -> 44 [size =\"8298496\"]\n  41 -> 45 [size =\"8298496\"]\n  42 [size=\"169700693\", alpha=\"0.08\", expect_size=\"50910208\"] \n  42 -> 43 [size =\"50910208\"]\n  42 -> 44 [size =\"50910208\"]\n  43 [size=\"153770667\", alpha=\"0.07\", expect_size=\"46131200\"] \n  44 [size=\"52125013\", alpha=\"0.04\", expect_size=\"15637504\"] \n  45 [size=\"163911680\", alpha=\"0.14\", expect_size=\"49173504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32348160\", alpha=\"0.09\", expect_size=\"12939264\"] \n  1 -> 15 [size =\"12939264\"]\n  1 -> 16 [size =\"12939264\"]\n  1 -> 17 [size =\"12939264\"]\n  1 -> 18 [size =\"12939264\"]\n  1 -> 19 [size =\"12939264\"]\n  1 -> 21 [size =\"12939264\"]\n  1 -> 27 [size =\"12939264\"]\n  2 [size=\"74339840\", alpha=\"0.03\", expect_size=\"29735936\"] \n  2 -> 18 [size =\"29735936\"]\n  2 -> 19 [size =\"29735936\"]\n  2 -> 22 [size =\"29735936\"]\n  2 -> 23 [size =\"29735936\"]\n  2 -> 24 [size =\"29735936\"]\n  2 -> 25 [size =\"29735936\"]\n  2 -> 26 [size =\"29735936\"]\n  2 -> 27 [size =\"29735936\"]\n  3 [size=\"24645120\", alpha=\"0.16\", expect_size=\"9858048\"] \n  3 -> 15 [size =\"9858048\"]\n  3 -> 18 [size =\"9858048\"]\n  3 -> 22 [size =\"9858048\"]\n  3 -> 23 [size =\"9858048\"]\n  3 -> 24 [size =\"9858048\"]\n  3 -> 25 [size =\"9858048\"]\n  3 -> 27 [size =\"9858048\"]\n  3 -> 27 [size =\"9858048\"]\n  4 [size=\"110789120\", alpha=\"0.16\", expect_size=\"44315648\"] \n  4 -> 15 [size =\"44315648\"]\n  4 -> 17 [size =\"44315648\"]\n  4 -> 18 [size =\"44315648\"]\n  4 -> 24 [size =\"44315648\"]\n  4 -> 25 [size =\"44315648\"]\n  4 -> 26 [size =\"44315648\"]\n  5 [size=\"13568000\", alpha=\"0.03\", expect_size=\"5427200\"] \n  5 -> 15 [size =\"5427200\"]\n  5 -> 17 [size =\"5427200\"]\n  5 -> 18 [size =\"5427200\"]\n  5 -> 19 [size =\"5427200\"]\n  5 -> 20 [size =\"5427200\"]\n  5 -> 22 [size =\"5427200\"]\n  5 -> 25 [size =\"5427200\"]\n  5 -> 26 [size =\"5427200\"]\n  6 [size=\"14528000\", alpha=\"0.11\", expect_size=\"5811200\"] \n  6 -> 15 [size =\"5811200\"]\n  6 -> 18 [size =\"5811200\"]\n  6 -> 20 [size =\"5811200\"]\n  6 -> 23 [size =\"5811200\"]\n  6 -> 24 [size =\"5811200\"]\n  6 -> 25 [size =\"5811200\"]\n  6 -> 26 [size =\"5811200\"]\n  6 -> 27 [size =\"5811200\"]\n  7 [size=\"59770880\", alpha=\"0.08\", expect_size=\"23908352\"] \n  7 -> 15 [size =\"23908352\"]\n  7 -> 18 [size =\"23908352\"]\n  7 -> 19 [size =\"23908352\"]\n  7 -> 23 [size =\"23908352\"]\n  7 -> 24 [size =\"23908352\"]\n  7 -> 25 [size =\"23908352\"]\n  7 -> 26 [size =\"23908352\"]\n  8 [size=\"120020480\", alpha=\"0.06\", expect_size=\"48008192\"] \n  8 -> 15 [size =\"48008192\"]\n  8 -> 18 [size =\"48008192\"]\n  8 -> 23 [size =\"48008192\"]\n  8 -> 23 [size =\"48008192\"]\n  8 -> 25 [size =\"48008192\"]\n  8 -> 26 [size =\"48008192\"]\n  9 [size=\"32842240\", alpha=\"0.17\", expect_size=\"13136896\"] \n  9 -> 15 [size =\"13136896\"]\n  9 -> 19 [size =\"13136896\"]\n  9 -> 20 [size =\"13136896\"]\n  9 -> 21 [size =\"13136896\"]\n  9 -> 23 [size =\"13136896\"]\n  9 -> 26 [size =\"13136896\"]\n  10 [size=\"101836800\", alpha=\"0.08\", expect_size=\"40734720\"] \n  10 -> 19 [size =\"40734720\"]\n  10 -> 20 [size =\"40734720\"]\n  10 -> 20 [size =\"40734720\"]\n  10 -> 21 [size =\"40734720\"]\n  10 -> 22 [size =\"40734720\"]\n  10 -> 23 [size =\"40734720\"]\n  10 -> 24 [size =\"40734720\"]\n  10 -> 26 [size =\"40734720\"]\n  11 [size=\"29050880\", alpha=\"0.06\", expect_size=\"11620352\"] \n  11 -> 16 [size =\"11620352\"]\n  11 -> 17 [size =\"11620352\"]\n  11 -> 19 [size =\"11620352\"]\n  11 -> 20 [size =\"11620352\"]\n  11 -> 21 [size =\"11620352\"]\n  11 -> 23 [size =\"11620352\"]\n  11 -> 27 [size =\"11620352\"]\n  12 [size=\"83888640\", alpha=\"0.17\", expect_size=\"33555456\"] \n  12 -> 17 [size =\"33555456\"]\n  12 -> 18 [size =\"33555456\"]\n  12 -> 20 [size =\"33555456\"]\n  12 -> 20 [size =\"33555456\"]\n  12 -> 23 [size =\"33555456\"]\n  12 -> 24 [size =\"33555456\"]\n  12 -> 25 [size =\"33555456\"]\n  12 -> 26 [size =\"33555456\"]\n  12 -> 27 [size =\"33555456\"]\n  13 [size=\"101995520\", alpha=\"0.19\", expect_size=\"40798208\"] \n  13 -> 16 [size =\"40798208\"]\n  13 -> 19 [size =\"40798208\"]\n  13 -> 20 [size =\"40798208\"]\n  13 -> 22 [size =\"40798208\"]\n  13 -> 25 [size =\"40798208\"]\n  13 -> 27 [size =\"40798208\"]\n  14 [size=\"76800000\", alpha=\"0.12\", expect_size=\"30720000\"] \n  14 -> 15 [size =\"30720000\"]\n  14 -> 19 [size =\"30720000\"]\n  14 -> 20 [size =\"30720000\"]\n  14 -> 22 [size =\"30720000\"]\n  14 -> 26 [size =\"30720000\"]\n  14 -> 27 [size =\"30720000\"]\n  15 [size=\"51461120\", alpha=\"0.18\", expect_size=\"20584448\"] \n  15 -> 29 [size =\"20584448\"]\n  15 -> 30 [size =\"20584448\"]\n  15 -> 32 [size =\"20584448\"]\n  15 -> 35 [size =\"20584448\"]\n  15 -> 36 [size =\"20584448\"]\n  15 -> 37 [size =\"20584448\"]\n  15 -> 38 [size =\"20584448\"]\n  15 -> 39 [size =\"20584448\"]\n  15 -> 41 [size =\"20584448\"]\n  16 [size=\"68999680\", alpha=\"0.17\", expect_size=\"27599872\"] \n  16 -> 28 [size =\"27599872\"]\n  16 -> 30 [size =\"27599872\"]\n  16 -> 32 [size =\"27599872\"]\n  16 -> 35 [size =\"27599872\"]\n  16 -> 36 [size =\"27599872\"]\n  16 -> 37 [size =\"27599872\"]\n  16 -> 38 [size =\"27599872\"]\n  16 -> 41 [size =\"27599872\"]\n  17 [size=\"18094080\", alpha=\"0.13\", expect_size=\"7237632\"] \n  17 -> 30 [size =\"7237632\"]\n  17 -> 32 [size =\"7237632\"]\n  17 -> 32 [size =\"7237632\"]\n  17 -> 34 [size =\"7237632\"]\n  17 -> 38 [size =\"7237632\"]\n  17 -> 41 [size =\"7237632\"]\n  18 [size=\"64140800\", alpha=\"0.05\", expect_size=\"25656320\"] \n  18 -> 28 [size =\"25656320\"]\n  18 -> 29 [size =\"25656320\"]\n  18 -> 30 [size =\"25656320\"]\n  18 -> 32 [size =\"25656320\"]\n  18 -> 34 [size =\"25656320\"]\n  18 -> 41 [size =\"25656320\"]\n  19 [size=\"98813440\", alpha=\"0.04\", expect_size=\"39525376\"] \n  19 -> 28 [size =\"39525376\"]\n  19 -> 29 [size =\"39525376\"]\n  19 -> 31 [size =\"39525376\"]\n  19 -> 34 [size =\"39525376\"]\n  19 -> 37 [size =\"39525376\"]\n  19 -> 38 [size =\"39525376\"]\n  19 -> 41 [size =\"39525376\"]\n  20 [size=\"82035200\", alpha=\"0.12\", expect_size=\"32814080\"] \n  20 -> 29 [size =\"32814080\"]\n  20 -> 30 [size =\"32814080\"]\n  20 -> 32 [size =\"32814080\"]\n  20 -> 34 [size =\"32814080\"]\n  20 -> 36 [size =\"32814080\"]\n  21 [size=\"127390720\", alpha=\"0.02\", expect_size=\"50956288\"] \n  21 -> 32 [size =\"50956288\"]\n  21 -> 34 [size =\"50956288\"]\n  21 -> 35 [size =\"50956288\"]\n  22 [size=\"45826560\", alpha=\"0.03\", expect_size=\"18330624\"] \n  22 -> 29 [size =\"18330624\"]\n  22 -> 31 [size =\"18330624\"]\n  22 -> 32 [size =\"18330624\"]\n  22 -> 36 [size =\"18330624\"]\n  23 [size=\"26117120\", alpha=\"0.06\", expect_size=\"10446848\"] \n  23 -> 29 [size =\"10446848\"]\n  23 -> 30 [size =\"10446848\"]\n  23 -> 32 [size =\"10446848\"]\n  23 -> 34 [size =\"10446848\"]\n  24 [size=\"17953280\", alpha=\"0.06\", expect_size=\"7181312\"] \n  24 -> 28 [size =\"7181312\"]\n  24 -> 34 [size =\"7181312\"]\n  24 -> 37 [size =\"7181312\"]\n  24 -> 40 [size =\"7181312\"]\n  24 -> 41 [size =\"7181312\"]\n  25 [size=\"87395840\", alpha=\"0.05\", expect_size=\"34958336\"] \n  25 -> 28 [size =\"34958336\"]\n  25 -> 31 [size =\"34958336\"]\n  25 -> 33 [size =\"34958336\"]\n  25 -> 34 [size =\"34958336\"]\n  25 -> 36 [size =\"34958336\"]\n  25 -> 37 [size =\"34958336\"]\n  25 -> 38 [size =\"34958336\"]\n  26 [size=\"75719680\", alpha=\"0.05\", expect_size=\"30287872\"] \n  26 -> 28 [size =\"30287872\"]\n  26 -> 33 [size =\"30287872\"]\n  26 -> 34 [size =\"30287872\"]\n  26 -> 37 [size =\"30287872\"]\n  26 -> 38 [size =\"30287872\"]\n  26 -> 41 [size =\"30287872\"]\n  27 [size=\"56744960\", alpha=\"0.13\", expect_size=\"22697984\"] \n  27 -> 28 [size =\"22697984\"]\n  27 -> 29 [size =\"22697984\"]\n  27 -> 30 [size =\"22697984\"]\n  27 -> 32 [size =\"22697984\"]\n  27 -> 33 [size =\"22697984\"]\n  27 -> 35 [size =\"22697984\"]\n  27 -> 36 [size =\"22697984\"]\n  27 -> 37 [size =\"22697984\"]\n  27 -> 38 [size =\"22697984\"]\n  27 -> 39 [size =\"22697984\"]\n  27 -> 41 [size =\"22697984\"]\n  28 [size=\"13480960\", alpha=\"0.19\", expect_size=\"5392384\"] \n  28 -> 42 [size =\"5392384\"]\n  28 -> 44 [size =\"5392384\"]\n  28 -> 45 [size =\"5392384\"]\n  29 [size=\"43361280\", alpha=\"0.08\", expect_size=\"17344512\"] \n  29 -> 42 [size =\"17344512\"]\n  29 -> 44 [size =\"17344512\"]\n  30 [size=\"69184000\", alpha=\"0.12\", expect_size=\"27673600\"] \n  30 -> 42 [size =\"27673600\"]\n  30 -> 45 [size =\"27673600\"]\n  31 [size=\"20400640\", alpha=\"0.19\", expect_size=\"8160256\"] \n  31 -> 45 [size =\"8160256\"]\n  32 [size=\"34222080\", alpha=\"0.18\", expect_size=\"13688832\"] \n  32 -> 45 [size =\"13688832\"]\n  33 [size=\"53913600\", alpha=\"0.12\", expect_size=\"21565440\"] \n  33 -> 42 [size =\"21565440\"]\n  34 [size=\"91015680\", alpha=\"0.17\", expect_size=\"36406272\"] \n  34 -> 42 [size =\"36406272\"]\n  34 -> 43 [size =\"36406272\"]\n  34 -> 44 [size =\"36406272\"]\n  35 [size=\"125248000\", alpha=\"0.08\", expect_size=\"50099200\"] \n  35 -> 42 [size =\"50099200\"]\n  35 -> 44 [size =\"50099200\"]\n  36 [size=\"39101440\", alpha=\"0.09\", expect_size=\"15640576\"] \n  36 -> 42 [size =\"15640576\"]\n  36 -> 44 [size =\"15640576\"]\n  37 [size=\"69931520\", alpha=\"0.11\", expect_size=\"27972608\"] \n  37 -> 42 [size =\"27972608\"]\n  37 -> 44 [size =\"27972608\"]\n  38 [size=\"28469760\", alpha=\"0.01\", expect_size=\"11387904\"] \n  39 [size=\"21634560\", alpha=\"0.06\", expect_size=\"8653824\"] \n  39 -> 43 [size =\"8653824\"]\n  40 [size=\"69158400\", alpha=\"0.03\", expect_size=\"27663360\"] \n  41 [size=\"23843840\", alpha=\"0.19\", expect_size=\"9537536\"] \n  41 -> 42 [size =\"9537536\"]\n  41 -> 44 [size =\"9537536\"]\n  42 [size=\"19604480\", alpha=\"0.20\", expect_size=\"7841792\"] \n  43 [size=\"127221760\", alpha=\"0.04\", expect_size=\"50888704\"] \n  44 [size=\"81687040\", alpha=\"0.08\", expect_size=\"32674816\"] \n  45 [size=\"64660480\", alpha=\"0.05\", expect_size=\"25864192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41646080\", alpha=\"0.09\", expect_size=\"20823040\"] \n  1 -> 10 [size =\"20823040\"]\n  2 [size=\"66895872\", alpha=\"0.13\", expect_size=\"33447936\"] \n  2 -> 9 [size =\"33447936\"]\n  2 -> 10 [size =\"33447936\"]\n  3 [size=\"77934592\", alpha=\"0.07\", expect_size=\"38967296\"] \n  4 [size=\"14950400\", alpha=\"0.02\", expect_size=\"7475200\"] \n  4 -> 8 [size =\"7475200\"]\n  4 -> 11 [size =\"7475200\"]\n  5 [size=\"75724800\", alpha=\"0.01\", expect_size=\"37862400\"] \n  5 -> 8 [size =\"37862400\"]\n  5 -> 10 [size =\"37862400\"]\n  6 [size=\"92254208\", alpha=\"0.01\", expect_size=\"46127104\"] \n  6 -> 8 [size =\"46127104\"]\n  6 -> 10 [size =\"46127104\"]\n  7 [size=\"76998656\", alpha=\"0.12\", expect_size=\"38499328\"] \n  8 [size=\"21159936\", alpha=\"0.17\", expect_size=\"10579968\"] \n  9 [size=\"33984512\", alpha=\"0.18\", expect_size=\"16992256\"] \n  9 -> 12 [size =\"16992256\"]\n  9 -> 13 [size =\"16992256\"]\n  10 [size=\"21753856\", alpha=\"0.10\", expect_size=\"10876928\"] \n  10 -> 12 [size =\"10876928\"]\n  10 -> 13 [size =\"10876928\"]\n  10 -> 14 [size =\"10876928\"]\n  11 [size=\"82223104\", alpha=\"0.02\", expect_size=\"41111552\"] \n  12 [size=\"28252160\", alpha=\"0.01\", expect_size=\"14126080\"] \n  12 -> 15 [size =\"14126080\"]\n  12 -> 19 [size =\"14126080\"]\n  12 -> 20 [size =\"14126080\"]\n  13 [size=\"89468928\", alpha=\"0.09\", expect_size=\"44734464\"] \n  13 -> 15 [size =\"44734464\"]\n  13 -> 16 [size =\"44734464\"]\n  13 -> 18 [size =\"44734464\"]\n  13 -> 20 [size =\"44734464\"]\n  14 [size=\"28123136\", alpha=\"0.06\", expect_size=\"14061568\"] \n  14 -> 17 [size =\"14061568\"]\n  15 [size=\"36956160\", alpha=\"0.02\", expect_size=\"18478080\"] \n  15 -> 21 [size =\"18478080\"]\n  15 -> 22 [size =\"18478080\"]\n  16 [size=\"41603072\", alpha=\"0.20\", expect_size=\"20801536\"] \n  16 -> 23 [size =\"20801536\"]\n  17 [size=\"46794752\", alpha=\"0.07\", expect_size=\"23397376\"] \n  17 -> 21 [size =\"23397376\"]\n  17 -> 23 [size =\"23397376\"]\n  18 [size=\"104534016\", alpha=\"0.11\", expect_size=\"52267008\"] \n  18 -> 22 [size =\"52267008\"]\n  18 -> 23 [size =\"52267008\"]\n  19 [size=\"89782272\", alpha=\"0.05\", expect_size=\"44891136\"] \n  20 [size=\"78405632\", alpha=\"0.13\", expect_size=\"39202816\"] \n  20 -> 21 [size =\"39202816\"]\n  21 [size=\"30670848\", alpha=\"0.08\", expect_size=\"15335424\"] \n  21 -> 24 [size =\"15335424\"]\n  21 -> 27 [size =\"15335424\"]\n  21 -> 28 [size =\"15335424\"]\n  21 -> 30 [size =\"15335424\"]\n  21 -> 31 [size =\"15335424\"]\n  22 [size=\"41783296\", alpha=\"0.14\", expect_size=\"20891648\"] \n  22 -> 24 [size =\"20891648\"]\n  22 -> 26 [size =\"20891648\"]\n  22 -> 27 [size =\"20891648\"]\n  22 -> 31 [size =\"20891648\"]\n  23 [size=\"47224832\", alpha=\"0.15\", expect_size=\"23612416\"] \n  23 -> 25 [size =\"23612416\"]\n  23 -> 29 [size =\"23612416\"]\n  24 [size=\"88268800\", alpha=\"0.17\", expect_size=\"44134400\"] \n  25 [size=\"20598784\", alpha=\"0.13\", expect_size=\"10299392\"] \n  25 -> 33 [size =\"10299392\"]\n  26 [size=\"29949952\", alpha=\"0.06\", expect_size=\"14974976\"] \n  26 -> 33 [size =\"14974976\"]\n  26 -> 36 [size =\"14974976\"]\n  27 [size=\"28262400\", alpha=\"0.13\", expect_size=\"14131200\"] \n  27 -> 32 [size =\"14131200\"]\n  27 -> 36 [size =\"14131200\"]\n  28 [size=\"61888512\", alpha=\"0.02\", expect_size=\"30944256\"] \n  28 -> 35 [size =\"30944256\"]\n  28 -> 38 [size =\"30944256\"]\n  29 [size=\"18155520\", alpha=\"0.16\", expect_size=\"9077760\"] \n  30 [size=\"41304064\", alpha=\"0.13\", expect_size=\"20652032\"] \n  30 -> 33 [size =\"20652032\"]\n  30 -> 34 [size =\"20652032\"]\n  30 -> 35 [size =\"20652032\"]\n  30 -> 37 [size =\"20652032\"]\n  30 -> 38 [size =\"20652032\"]\n  31 [size=\"102371328\", alpha=\"0.05\", expect_size=\"51185664\"] \n  31 -> 33 [size =\"51185664\"]\n  31 -> 35 [size =\"51185664\"]\n  31 -> 35 [size =\"51185664\"]\n  31 -> 36 [size =\"51185664\"]\n  32 [size=\"43776000\", alpha=\"0.01\", expect_size=\"21888000\"] \n  32 -> 42 [size =\"21888000\"]\n  32 -> 44 [size =\"21888000\"]\n  33 [size=\"16302080\", alpha=\"0.13\", expect_size=\"8151040\"] \n  33 -> 39 [size =\"8151040\"]\n  33 -> 41 [size =\"8151040\"]\n  33 -> 44 [size =\"8151040\"]\n  34 [size=\"87398400\", alpha=\"0.09\", expect_size=\"43699200\"] \n  34 -> 43 [size =\"43699200\"]\n  34 -> 44 [size =\"43699200\"]\n  35 [size=\"72785920\", alpha=\"0.11\", expect_size=\"36392960\"] \n  35 -> 40 [size =\"36392960\"]\n  35 -> 41 [size =\"36392960\"]\n  36 [size=\"37703680\", alpha=\"0.19\", expect_size=\"18851840\"] \n  36 -> 42 [size =\"18851840\"]\n  37 [size=\"63922176\", alpha=\"0.15\", expect_size=\"31961088\"] \n  37 -> 39 [size =\"31961088\"]\n  37 -> 41 [size =\"31961088\"]\n  38 [size=\"29210624\", alpha=\"0.11\", expect_size=\"14605312\"] \n  38 -> 39 [size =\"14605312\"]\n  39 [size=\"38615040\", alpha=\"0.04\", expect_size=\"19307520\"] \n  39 -> 45 [size =\"19307520\"]\n  40 [size=\"21264384\", alpha=\"0.11\", expect_size=\"10632192\"] \n  40 -> 45 [size =\"10632192\"]\n  41 [size=\"82800640\", alpha=\"0.03\", expect_size=\"41400320\"] \n  42 [size=\"11843584\", alpha=\"0.01\", expect_size=\"5921792\"] \n  43 [size=\"14905344\", alpha=\"0.07\", expect_size=\"7452672\"] \n  44 [size=\"76595200\", alpha=\"0.09\", expect_size=\"38297600\"] \n  44 -> 45 [size =\"38297600\"]\n  45 [size=\"25812992\", alpha=\"0.14\", expect_size=\"12906496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134645760\", alpha=\"0.03\", expect_size=\"40393728\"] \n  1 -> 6 [size =\"40393728\"]\n  1 -> 7 [size =\"40393728\"]\n  1 -> 8 [size =\"40393728\"]\n  2 [size=\"55825067\", alpha=\"0.01\", expect_size=\"16747520\"] \n  2 -> 5 [size =\"16747520\"]\n  2 -> 6 [size =\"16747520\"]\n  3 [size=\"115353600\", alpha=\"0.05\", expect_size=\"34606080\"] \n  3 -> 5 [size =\"34606080\"]\n  4 [size=\"153862827\", alpha=\"0.13\", expect_size=\"46158848\"] \n  4 -> 7 [size =\"46158848\"]\n  4 -> 8 [size =\"46158848\"]\n  5 [size=\"131495253\", alpha=\"0.04\", expect_size=\"39448576\"] \n  5 -> 9 [size =\"39448576\"]\n  5 -> 10 [size =\"39448576\"]\n  5 -> 12 [size =\"39448576\"]\n  5 -> 13 [size =\"39448576\"]\n  5 -> 14 [size =\"39448576\"]\n  6 [size=\"139482453\", alpha=\"0.17\", expect_size=\"41844736\"] \n  6 -> 14 [size =\"41844736\"]\n  7 [size=\"89197227\", alpha=\"0.01\", expect_size=\"26759168\"] \n  7 -> 9 [size =\"26759168\"]\n  7 -> 10 [size =\"26759168\"]\n  7 -> 12 [size =\"26759168\"]\n  7 -> 13 [size =\"26759168\"]\n  7 -> 14 [size =\"26759168\"]\n  8 [size=\"51729067\", alpha=\"0.01\", expect_size=\"15518720\"] \n  8 -> 9 [size =\"15518720\"]\n  8 -> 10 [size =\"15518720\"]\n  8 -> 11 [size =\"15518720\"]\n  8 -> 12 [size =\"15518720\"]\n  8 -> 13 [size =\"15518720\"]\n  9 [size=\"60272640\", alpha=\"0.15\", expect_size=\"18081792\"] \n  9 -> 16 [size =\"18081792\"]\n  9 -> 19 [size =\"18081792\"]\n  10 [size=\"44479147\", alpha=\"0.13\", expect_size=\"13343744\"] \n  10 -> 15 [size =\"13343744\"]\n  10 -> 18 [size =\"13343744\"]\n  10 -> 19 [size =\"13343744\"]\n  11 [size=\"75915947\", alpha=\"0.13\", expect_size=\"22774784\"] \n  11 -> 17 [size =\"22774784\"]\n  11 -> 20 [size =\"22774784\"]\n  12 [size=\"97433600\", alpha=\"0.11\", expect_size=\"29230080\"] \n  12 -> 19 [size =\"29230080\"]\n  13 [size=\"103239680\", alpha=\"0.03\", expect_size=\"30971904\"] \n  13 -> 19 [size =\"30971904\"]\n  14 [size=\"139864747\", alpha=\"0.12\", expect_size=\"41959424\"] \n  14 -> 16 [size =\"41959424\"]\n  14 -> 20 [size =\"41959424\"]\n  15 [size=\"86845440\", alpha=\"0.07\", expect_size=\"26053632\"] \n  15 -> 22 [size =\"26053632\"]\n  16 [size=\"120115200\", alpha=\"0.14\", expect_size=\"36034560\"] \n  16 -> 24 [size =\"36034560\"]\n  16 -> 26 [size =\"36034560\"]\n  16 -> 27 [size =\"36034560\"]\n  17 [size=\"93313707\", alpha=\"0.05\", expect_size=\"27994112\"] \n  17 -> 24 [size =\"27994112\"]\n  17 -> 25 [size =\"27994112\"]\n  17 -> 27 [size =\"27994112\"]\n  18 [size=\"100406613\", alpha=\"0.12\", expect_size=\"30121984\"] \n  18 -> 21 [size =\"30121984\"]\n  18 -> 27 [size =\"30121984\"]\n  19 [size=\"110667093\", alpha=\"0.13\", expect_size=\"33200128\"] \n  19 -> 21 [size =\"33200128\"]\n  19 -> 23 [size =\"33200128\"]\n  19 -> 26 [size =\"33200128\"]\n  19 -> 27 [size =\"33200128\"]\n  20 [size=\"68297387\", alpha=\"0.10\", expect_size=\"20489216\"] \n  20 -> 21 [size =\"20489216\"]\n  20 -> 23 [size =\"20489216\"]\n  20 -> 24 [size =\"20489216\"]\n  20 -> 25 [size =\"20489216\"]\n  20 -> 26 [size =\"20489216\"]\n  21 [size=\"169236480\", alpha=\"0.03\", expect_size=\"50770944\"] \n  21 -> 28 [size =\"50770944\"]\n  21 -> 31 [size =\"50770944\"]\n  21 -> 33 [size =\"50770944\"]\n  22 [size=\"112039253\", alpha=\"0.20\", expect_size=\"33611776\"] \n  22 -> 29 [size =\"33611776\"]\n  22 -> 31 [size =\"33611776\"]\n  22 -> 33 [size =\"33611776\"]\n  23 [size=\"38212267\", alpha=\"0.09\", expect_size=\"11463680\"] \n  23 -> 28 [size =\"11463680\"]\n  23 -> 29 [size =\"11463680\"]\n  23 -> 31 [size =\"11463680\"]\n  23 -> 32 [size =\"11463680\"]\n  24 [size=\"62924800\", alpha=\"0.16\", expect_size=\"18877440\"] \n  24 -> 28 [size =\"18877440\"]\n  24 -> 29 [size =\"18877440\"]\n  24 -> 30 [size =\"18877440\"]\n  24 -> 33 [size =\"18877440\"]\n  25 [size=\"154419200\", alpha=\"0.18\", expect_size=\"46325760\"] \n  25 -> 29 [size =\"46325760\"]\n  25 -> 33 [size =\"46325760\"]\n  26 [size=\"55367680\", alpha=\"0.14\", expect_size=\"16610304\"] \n  26 -> 28 [size =\"16610304\"]\n  26 -> 33 [size =\"16610304\"]\n  27 [size=\"162652160\", alpha=\"0.00\", expect_size=\"48795648\"] \n  27 -> 28 [size =\"48795648\"]\n  27 -> 34 [size =\"48795648\"]\n  28 [size=\"46411093\", alpha=\"0.11\", expect_size=\"13923328\"] \n  28 -> 35 [size =\"13923328\"]\n  28 -> 36 [size =\"13923328\"]\n  28 -> 37 [size =\"13923328\"]\n  29 [size=\"138478933\", alpha=\"0.07\", expect_size=\"41543680\"] \n  29 -> 36 [size =\"41543680\"]\n  29 -> 40 [size =\"41543680\"]\n  30 [size=\"82838187\", alpha=\"0.06\", expect_size=\"24851456\"] \n  30 -> 40 [size =\"24851456\"]\n  30 -> 40 [size =\"24851456\"]\n  31 [size=\"163604480\", alpha=\"0.13\", expect_size=\"49081344\"] \n  31 -> 35 [size =\"49081344\"]\n  31 -> 39 [size =\"49081344\"]\n  31 -> 40 [size =\"49081344\"]\n  32 [size=\"26091520\", alpha=\"0.10\", expect_size=\"7827456\"] \n  32 -> 35 [size =\"7827456\"]\n  32 -> 41 [size =\"7827456\"]\n  33 [size=\"23224320\", alpha=\"0.17\", expect_size=\"6967296\"] \n  33 -> 36 [size =\"6967296\"]\n  33 -> 37 [size =\"6967296\"]\n  33 -> 40 [size =\"6967296\"]\n  33 -> 41 [size =\"6967296\"]\n  34 [size=\"95593813\", alpha=\"0.01\", expect_size=\"28678144\"] \n  34 -> 35 [size =\"28678144\"]\n  34 -> 37 [size =\"28678144\"]\n  34 -> 38 [size =\"28678144\"]\n  34 -> 41 [size =\"28678144\"]\n  35 [size=\"65017173\", alpha=\"0.13\", expect_size=\"19505152\"] \n  35 -> 42 [size =\"19505152\"]\n  35 -> 44 [size =\"19505152\"]\n  35 -> 45 [size =\"19505152\"]\n  36 [size=\"45520213\", alpha=\"0.18\", expect_size=\"13656064\"] \n  36 -> 44 [size =\"13656064\"]\n  36 -> 45 [size =\"13656064\"]\n  37 [size=\"159105707\", alpha=\"0.13\", expect_size=\"47731712\"] \n  37 -> 42 [size =\"47731712\"]\n  37 -> 44 [size =\"47731712\"]\n  38 [size=\"162925227\", alpha=\"0.18\", expect_size=\"48877568\"] \n  38 -> 44 [size =\"48877568\"]\n  38 -> 45 [size =\"48877568\"]\n  39 [size=\"91234987\", alpha=\"0.16\", expect_size=\"27370496\"] \n  39 -> 42 [size =\"27370496\"]\n  39 -> 43 [size =\"27370496\"]\n  39 -> 44 [size =\"27370496\"]\n  40 [size=\"144121173\", alpha=\"0.19\", expect_size=\"43236352\"] \n  40 -> 42 [size =\"43236352\"]\n  41 [size=\"34010453\", alpha=\"0.02\", expect_size=\"10203136\"] \n  41 -> 42 [size =\"10203136\"]\n  42 [size=\"133922133\", alpha=\"0.17\", expect_size=\"40176640\"] \n  43 [size=\"51954347\", alpha=\"0.15\", expect_size=\"15586304\"] \n  44 [size=\"31153493\", alpha=\"0.18\", expect_size=\"9346048\"] \n  45 [size=\"36631893\", alpha=\"0.19\", expect_size=\"10989568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23255040\", alpha=\"0.14\", expect_size=\"11627520\"] \n  1 -> 7 [size =\"11627520\"]\n  1 -> 11 [size =\"11627520\"]\n  2 [size=\"66166784\", alpha=\"0.09\", expect_size=\"33083392\"] \n  2 -> 7 [size =\"33083392\"]\n  2 -> 9 [size =\"33083392\"]\n  2 -> 10 [size =\"33083392\"]\n  3 [size=\"56647680\", alpha=\"0.05\", expect_size=\"28323840\"] \n  3 -> 8 [size =\"28323840\"]\n  4 [size=\"38529024\", alpha=\"0.01\", expect_size=\"19264512\"] \n  4 -> 8 [size =\"19264512\"]\n  4 -> 11 [size =\"19264512\"]\n  5 [size=\"68143104\", alpha=\"0.19\", expect_size=\"34071552\"] \n  5 -> 8 [size =\"34071552\"]\n  5 -> 10 [size =\"34071552\"]\n  5 -> 11 [size =\"34071552\"]\n  6 [size=\"85874688\", alpha=\"0.17\", expect_size=\"42937344\"] \n  6 -> 8 [size =\"42937344\"]\n  6 -> 10 [size =\"42937344\"]\n  6 -> 12 [size =\"42937344\"]\n  7 [size=\"64622592\", alpha=\"0.11\", expect_size=\"32311296\"] \n  7 -> 16 [size =\"32311296\"]\n  7 -> 17 [size =\"32311296\"]\n  7 -> 18 [size =\"32311296\"]\n  8 [size=\"77811712\", alpha=\"0.06\", expect_size=\"38905856\"] \n  8 -> 17 [size =\"38905856\"]\n  9 [size=\"48588800\", alpha=\"0.14\", expect_size=\"24294400\"] \n  9 -> 13 [size =\"24294400\"]\n  9 -> 17 [size =\"24294400\"]\n  10 [size=\"34490368\", alpha=\"0.07\", expect_size=\"17245184\"] \n  10 -> 13 [size =\"17245184\"]\n  10 -> 15 [size =\"17245184\"]\n  11 [size=\"27459584\", alpha=\"0.19\", expect_size=\"13729792\"] \n  11 -> 16 [size =\"13729792\"]\n  12 [size=\"93855744\", alpha=\"0.15\", expect_size=\"46927872\"] \n  12 -> 14 [size =\"46927872\"]\n  12 -> 15 [size =\"46927872\"]\n  12 -> 16 [size =\"46927872\"]\n  12 -> 17 [size =\"46927872\"]\n  13 [size=\"43372544\", alpha=\"0.06\", expect_size=\"21686272\"] \n  13 -> 20 [size =\"21686272\"]\n  13 -> 22 [size =\"21686272\"]\n  14 [size=\"65280000\", alpha=\"0.13\", expect_size=\"32640000\"] \n  14 -> 19 [size =\"32640000\"]\n  14 -> 20 [size =\"32640000\"]\n  14 -> 21 [size =\"32640000\"]\n  15 [size=\"70993920\", alpha=\"0.10\", expect_size=\"35496960\"] \n  15 -> 20 [size =\"35496960\"]\n  15 -> 23 [size =\"35496960\"]\n  16 [size=\"66863104\", alpha=\"0.04\", expect_size=\"33431552\"] \n  16 -> 19 [size =\"33431552\"]\n  16 -> 20 [size =\"33431552\"]\n  16 -> 21 [size =\"33431552\"]\n  16 -> 22 [size =\"33431552\"]\n  16 -> 23 [size =\"33431552\"]\n  17 [size=\"52459520\", alpha=\"0.12\", expect_size=\"26229760\"] \n  17 -> 19 [size =\"26229760\"]\n  17 -> 21 [size =\"26229760\"]\n  17 -> 22 [size =\"26229760\"]\n  18 [size=\"12156928\", alpha=\"0.15\", expect_size=\"6078464\"] \n  18 -> 19 [size =\"6078464\"]\n  19 [size=\"42512384\", alpha=\"0.09\", expect_size=\"21256192\"] \n  19 -> 25 [size =\"21256192\"]\n  19 -> 26 [size =\"21256192\"]\n  19 -> 27 [size =\"21256192\"]\n  19 -> 29 [size =\"21256192\"]\n  19 -> 30 [size =\"21256192\"]\n  20 [size=\"14372864\", alpha=\"0.14\", expect_size=\"7186432\"] \n  20 -> 26 [size =\"7186432\"]\n  20 -> 29 [size =\"7186432\"]\n  20 -> 30 [size =\"7186432\"]\n  21 [size=\"46344192\", alpha=\"0.01\", expect_size=\"23172096\"] \n  22 [size=\"42502144\", alpha=\"0.01\", expect_size=\"21251072\"] \n  22 -> 24 [size =\"21251072\"]\n  22 -> 25 [size =\"21251072\"]\n  23 [size=\"19668992\", alpha=\"0.10\", expect_size=\"9834496\"] \n  23 -> 24 [size =\"9834496\"]\n  23 -> 26 [size =\"9834496\"]\n  23 -> 28 [size =\"9834496\"]\n  23 -> 29 [size =\"9834496\"]\n  23 -> 30 [size =\"9834496\"]\n  24 [size=\"48396288\", alpha=\"0.05\", expect_size=\"24198144\"] \n  24 -> 31 [size =\"24198144\"]\n  24 -> 33 [size =\"24198144\"]\n  24 -> 36 [size =\"24198144\"]\n  25 [size=\"15208448\", alpha=\"0.12\", expect_size=\"7604224\"] \n  26 [size=\"63565824\", alpha=\"0.16\", expect_size=\"31782912\"] \n  26 -> 32 [size =\"31782912\"]\n  26 -> 36 [size =\"31782912\"]\n  27 [size=\"80084992\", alpha=\"0.10\", expect_size=\"40042496\"] \n  27 -> 31 [size =\"40042496\"]\n  28 [size=\"43405312\", alpha=\"0.19\", expect_size=\"21702656\"] \n  28 -> 31 [size =\"21702656\"]\n  28 -> 36 [size =\"21702656\"]\n  29 [size=\"21518336\", alpha=\"0.16\", expect_size=\"10759168\"] \n  29 -> 31 [size =\"10759168\"]\n  29 -> 35 [size =\"10759168\"]\n  30 [size=\"63627264\", alpha=\"0.19\", expect_size=\"31813632\"] \n  30 -> 31 [size =\"31813632\"]\n  30 -> 34 [size =\"31813632\"]\n  31 [size=\"34269184\", alpha=\"0.04\", expect_size=\"17134592\"] \n  31 -> 37 [size =\"17134592\"]\n  32 [size=\"40591360\", alpha=\"0.08\", expect_size=\"20295680\"] \n  32 -> 37 [size =\"20295680\"]\n  32 -> 38 [size =\"20295680\"]\n  32 -> 39 [size =\"20295680\"]\n  32 -> 40 [size =\"20295680\"]\n  33 [size=\"43900928\", alpha=\"0.18\", expect_size=\"21950464\"] \n  33 -> 37 [size =\"21950464\"]\n  33 -> 39 [size =\"21950464\"]\n  34 [size=\"90361856\", alpha=\"0.00\", expect_size=\"45180928\"] \n  34 -> 38 [size =\"45180928\"]\n  35 [size=\"19273728\", alpha=\"0.15\", expect_size=\"9636864\"] \n  35 -> 38 [size =\"9636864\"]\n  35 -> 40 [size =\"9636864\"]\n  36 [size=\"77037568\", alpha=\"0.02\", expect_size=\"38518784\"] \n  36 -> 37 [size =\"38518784\"]\n  36 -> 38 [size =\"38518784\"]\n  36 -> 41 [size =\"38518784\"]\n  36 -> 42 [size =\"38518784\"]\n  37 [size=\"55930880\", alpha=\"0.18\", expect_size=\"27965440\"] \n  37 -> 44 [size =\"27965440\"]\n  38 [size=\"104460288\", alpha=\"0.14\", expect_size=\"52230144\"] \n  38 -> 43 [size =\"52230144\"]\n  38 -> 44 [size =\"52230144\"]\n  39 [size=\"101210112\", alpha=\"0.17\", expect_size=\"50605056\"] \n  39 -> 44 [size =\"50605056\"]\n  40 [size=\"84287488\", alpha=\"0.00\", expect_size=\"42143744\"] \n  40 -> 45 [size =\"42143744\"]\n  41 [size=\"77694976\", alpha=\"0.12\", expect_size=\"38847488\"] \n  42 [size=\"98408448\", alpha=\"0.10\", expect_size=\"49204224\"] \n  43 [size=\"41056256\", alpha=\"0.10\", expect_size=\"20528128\"] \n  44 [size=\"32897024\", alpha=\"0.18\", expect_size=\"16448512\"] \n  45 [size=\"34355200\", alpha=\"0.07\", expect_size=\"17177600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86269952\", alpha=\"0.07\", expect_size=\"43134976\"] \n  1 -> 4 [size =\"43134976\"]\n  1 -> 6 [size =\"43134976\"]\n  1 -> 7 [size =\"43134976\"]\n  2 [size=\"47073280\", alpha=\"0.00\", expect_size=\"23536640\"] \n  2 -> 5 [size =\"23536640\"]\n  2 -> 6 [size =\"23536640\"]\n  3 [size=\"82229248\", alpha=\"0.07\", expect_size=\"41114624\"] \n  3 -> 4 [size =\"41114624\"]\n  3 -> 5 [size =\"41114624\"]\n  4 [size=\"100816896\", alpha=\"0.07\", expect_size=\"50408448\"] \n  5 [size=\"14405632\", alpha=\"0.04\", expect_size=\"7202816\"] \n  5 -> 8 [size =\"7202816\"]\n  5 -> 9 [size =\"7202816\"]\n  6 [size=\"46407680\", alpha=\"0.09\", expect_size=\"23203840\"] \n  6 -> 9 [size =\"23203840\"]\n  7 [size=\"22327296\", alpha=\"0.05\", expect_size=\"11163648\"] \n  7 -> 9 [size =\"11163648\"]\n  8 [size=\"102748160\", alpha=\"0.08\", expect_size=\"51374080\"] \n  8 -> 11 [size =\"51374080\"]\n  9 [size=\"61519872\", alpha=\"0.11\", expect_size=\"30759936\"] \n  9 -> 10 [size =\"30759936\"]\n  10 [size=\"70969344\", alpha=\"0.13\", expect_size=\"35484672\"] \n  10 -> 12 [size =\"35484672\"]\n  10 -> 13 [size =\"35484672\"]\n  11 [size=\"60514304\", alpha=\"0.12\", expect_size=\"30257152\"] \n  11 -> 13 [size =\"30257152\"]\n  12 [size=\"94662656\", alpha=\"0.04\", expect_size=\"47331328\"] \n  12 -> 15 [size =\"47331328\"]\n  12 -> 16 [size =\"47331328\"]\n  13 [size=\"95469568\", alpha=\"0.10\", expect_size=\"47734784\"] \n  13 -> 14 [size =\"47734784\"]\n  14 [size=\"35463168\", alpha=\"0.14\", expect_size=\"17731584\"] \n  14 -> 18 [size =\"17731584\"]\n  15 [size=\"66762752\", alpha=\"0.13\", expect_size=\"33381376\"] \n  15 -> 17 [size =\"33381376\"]\n  15 -> 19 [size =\"33381376\"]\n  16 [size=\"86505472\", alpha=\"0.18\", expect_size=\"43252736\"] \n  16 -> 19 [size =\"43252736\"]\n  17 [size=\"36796416\", alpha=\"0.16\", expect_size=\"18398208\"] \n  17 -> 20 [size =\"18398208\"]\n  17 -> 21 [size =\"18398208\"]\n  17 -> 22 [size =\"18398208\"]\n  18 [size=\"61220864\", alpha=\"0.06\", expect_size=\"30610432\"] \n  18 -> 21 [size =\"30610432\"]\n  19 [size=\"99848192\", alpha=\"0.01\", expect_size=\"49924096\"] \n  19 -> 20 [size =\"49924096\"]\n  19 -> 22 [size =\"49924096\"]\n  20 [size=\"56758272\", alpha=\"0.06\", expect_size=\"28379136\"] \n  20 -> 24 [size =\"28379136\"]\n  21 [size=\"22018048\", alpha=\"0.08\", expect_size=\"11009024\"] \n  21 -> 23 [size =\"11009024\"]\n  21 -> 25 [size =\"11009024\"]\n  21 -> 26 [size =\"11009024\"]\n  22 [size=\"79517696\", alpha=\"0.17\", expect_size=\"39758848\"] \n  22 -> 23 [size =\"39758848\"]\n  22 -> 25 [size =\"39758848\"]\n  22 -> 26 [size =\"39758848\"]\n  23 [size=\"99854336\", alpha=\"0.01\", expect_size=\"49927168\"] \n  23 -> 27 [size =\"49927168\"]\n  24 [size=\"51783680\", alpha=\"0.05\", expect_size=\"25891840\"] \n  24 -> 29 [size =\"25891840\"]\n  25 [size=\"23955456\", alpha=\"0.09\", expect_size=\"11977728\"] \n  25 -> 29 [size =\"11977728\"]\n  26 [size=\"85620736\", alpha=\"0.01\", expect_size=\"42810368\"] \n  26 -> 28 [size =\"42810368\"]\n  27 [size=\"76537856\", alpha=\"0.16\", expect_size=\"38268928\"] \n  28 [size=\"56053760\", alpha=\"0.10\", expect_size=\"28026880\"] \n  28 -> 30 [size =\"28026880\"]\n  29 [size=\"86353920\", alpha=\"0.15\", expect_size=\"43176960\"] \n  30 [size=\"91095040\", alpha=\"0.12\", expect_size=\"45547520\"] \n  30 -> 31 [size =\"45547520\"]\n  30 -> 32 [size =\"45547520\"]\n  30 -> 33 [size =\"45547520\"]\n  31 [size=\"26759168\", alpha=\"0.00\", expect_size=\"13379584\"] \n  31 -> 34 [size =\"13379584\"]\n  32 [size=\"63504384\", alpha=\"0.07\", expect_size=\"31752192\"] \n  32 -> 35 [size =\"31752192\"]\n  33 [size=\"49174528\", alpha=\"0.11\", expect_size=\"24587264\"] \n  34 [size=\"55515136\", alpha=\"0.00\", expect_size=\"27757568\"] \n  34 -> 36 [size =\"27757568\"]\n  35 [size=\"78485504\", alpha=\"0.01\", expect_size=\"39242752\"] \n  36 [size=\"27637760\", alpha=\"0.19\", expect_size=\"13818880\"] \n  36 -> 37 [size =\"13818880\"]\n  37 [size=\"33261568\", alpha=\"0.02\", expect_size=\"16630784\"] \n  37 -> 38 [size =\"16630784\"]\n  37 -> 39 [size =\"16630784\"]\n  37 -> 40 [size =\"16630784\"]\n  38 [size=\"12834816\", alpha=\"0.16\", expect_size=\"6417408\"] \n  38 -> 41 [size =\"6417408\"]\n  39 [size=\"58619904\", alpha=\"0.08\", expect_size=\"29309952\"] \n  40 [size=\"32905216\", alpha=\"0.11\", expect_size=\"16452608\"] \n  41 [size=\"90548224\", alpha=\"0.16\", expect_size=\"45274112\"] \n  41 -> 42 [size =\"45274112\"]\n  41 -> 43 [size =\"45274112\"]\n  41 -> 44 [size =\"45274112\"]\n  41 -> 45 [size =\"45274112\"]\n  42 [size=\"92835840\", alpha=\"0.16\", expect_size=\"46417920\"] \n  43 [size=\"29571072\", alpha=\"0.14\", expect_size=\"14785536\"] \n  44 [size=\"80115712\", alpha=\"0.01\", expect_size=\"40057856\"] \n  45 [size=\"80699392\", alpha=\"0.12\", expect_size=\"40349696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98627584\", alpha=\"0.06\", expect_size=\"49313792\"] \n  1 -> 5 [size =\"49313792\"]\n  1 -> 6 [size =\"49313792\"]\n  1 -> 7 [size =\"49313792\"]\n  2 [size=\"60129280\", alpha=\"0.11\", expect_size=\"30064640\"] \n  2 -> 6 [size =\"30064640\"]\n  2 -> 6 [size =\"30064640\"]\n  2 -> 7 [size =\"30064640\"]\n  3 [size=\"36341760\", alpha=\"0.15\", expect_size=\"18170880\"] \n  3 -> 5 [size =\"18170880\"]\n  3 -> 7 [size =\"18170880\"]\n  4 [size=\"87046144\", alpha=\"0.18\", expect_size=\"43523072\"] \n  4 -> 5 [size =\"43523072\"]\n  4 -> 6 [size =\"43523072\"]\n  5 [size=\"56920064\", alpha=\"0.18\", expect_size=\"28460032\"] \n  5 -> 8 [size =\"28460032\"]\n  5 -> 9 [size =\"28460032\"]\n  6 [size=\"29519872\", alpha=\"0.06\", expect_size=\"14759936\"] \n  6 -> 9 [size =\"14759936\"]\n  7 [size=\"89827328\", alpha=\"0.14\", expect_size=\"44913664\"] \n  7 -> 8 [size =\"44913664\"]\n  7 -> 9 [size =\"44913664\"]\n  8 [size=\"31666176\", alpha=\"0.10\", expect_size=\"15833088\"] \n  8 -> 10 [size =\"15833088\"]\n  8 -> 11 [size =\"15833088\"]\n  9 [size=\"48539648\", alpha=\"0.00\", expect_size=\"24269824\"] \n  9 -> 11 [size =\"24269824\"]\n  10 [size=\"24809472\", alpha=\"0.10\", expect_size=\"12404736\"] \n  10 -> 12 [size =\"12404736\"]\n  10 -> 13 [size =\"12404736\"]\n  10 -> 14 [size =\"12404736\"]\n  11 [size=\"68630528\", alpha=\"0.14\", expect_size=\"34315264\"] \n  11 -> 12 [size =\"34315264\"]\n  11 -> 13 [size =\"34315264\"]\n  11 -> 14 [size =\"34315264\"]\n  12 [size=\"98443264\", alpha=\"0.14\", expect_size=\"49221632\"] \n  12 -> 15 [size =\"49221632\"]\n  12 -> 16 [size =\"49221632\"]\n  13 [size=\"53999616\", alpha=\"0.09\", expect_size=\"26999808\"] \n  13 -> 15 [size =\"26999808\"]\n  13 -> 16 [size =\"26999808\"]\n  14 [size=\"30771200\", alpha=\"0.16\", expect_size=\"15385600\"] \n  14 -> 15 [size =\"15385600\"]\n  14 -> 16 [size =\"15385600\"]\n  15 [size=\"23515136\", alpha=\"0.02\", expect_size=\"11757568\"] \n  15 -> 17 [size =\"11757568\"]\n  15 -> 18 [size =\"11757568\"]\n  16 [size=\"11976704\", alpha=\"0.17\", expect_size=\"5988352\"] \n  16 -> 18 [size =\"5988352\"]\n  17 [size=\"42622976\", alpha=\"0.16\", expect_size=\"21311488\"] \n  17 -> 19 [size =\"21311488\"]\n  17 -> 20 [size =\"21311488\"]\n  18 [size=\"12566528\", alpha=\"0.15\", expect_size=\"6283264\"] \n  18 -> 19 [size =\"6283264\"]\n  19 [size=\"61341696\", alpha=\"0.01\", expect_size=\"30670848\"] \n  19 -> 21 [size =\"30670848\"]\n  19 -> 22 [size =\"30670848\"]\n  19 -> 23 [size =\"30670848\"]\n  19 -> 24 [size =\"30670848\"]\n  20 [size=\"63139840\", alpha=\"0.19\", expect_size=\"31569920\"] \n  20 -> 21 [size =\"31569920\"]\n  20 -> 22 [size =\"31569920\"]\n  20 -> 23 [size =\"31569920\"]\n  20 -> 24 [size =\"31569920\"]\n  21 [size=\"14790656\", alpha=\"0.16\", expect_size=\"7395328\"] \n  21 -> 26 [size =\"7395328\"]\n  21 -> 27 [size =\"7395328\"]\n  21 -> 28 [size =\"7395328\"]\n  22 [size=\"79908864\", alpha=\"0.04\", expect_size=\"39954432\"] \n  22 -> 25 [size =\"39954432\"]\n  22 -> 26 [size =\"39954432\"]\n  22 -> 27 [size =\"39954432\"]\n  22 -> 28 [size =\"39954432\"]\n  23 [size=\"51783680\", alpha=\"0.17\", expect_size=\"25891840\"] \n  23 -> 25 [size =\"25891840\"]\n  23 -> 26 [size =\"25891840\"]\n  23 -> 28 [size =\"25891840\"]\n  24 [size=\"93378560\", alpha=\"0.06\", expect_size=\"46689280\"] \n  24 -> 25 [size =\"46689280\"]\n  24 -> 26 [size =\"46689280\"]\n  24 -> 27 [size =\"46689280\"]\n  25 [size=\"75696128\", alpha=\"0.05\", expect_size=\"37848064\"] \n  25 -> 29 [size =\"37848064\"]\n  26 [size=\"86562816\", alpha=\"0.08\", expect_size=\"43281408\"] \n  26 -> 29 [size =\"43281408\"]\n  27 [size=\"74145792\", alpha=\"0.08\", expect_size=\"37072896\"] \n  27 -> 29 [size =\"37072896\"]\n  27 -> 30 [size =\"37072896\"]\n  28 [size=\"56770560\", alpha=\"0.12\", expect_size=\"28385280\"] \n  28 -> 29 [size =\"28385280\"]\n  28 -> 30 [size =\"28385280\"]\n  29 [size=\"31834112\", alpha=\"0.05\", expect_size=\"15917056\"] \n  30 [size=\"36917248\", alpha=\"0.00\", expect_size=\"18458624\"] \n  30 -> 31 [size =\"18458624\"]\n  30 -> 32 [size =\"18458624\"]\n  31 [size=\"33974272\", alpha=\"0.08\", expect_size=\"16987136\"] \n  31 -> 34 [size =\"16987136\"]\n  32 [size=\"16777216\", alpha=\"0.15\", expect_size=\"8388608\"] \n  32 -> 33 [size =\"8388608\"]\n  32 -> 34 [size =\"8388608\"]\n  32 -> 35 [size =\"8388608\"]\n  33 [size=\"34969600\", alpha=\"0.10\", expect_size=\"17484800\"] \n  33 -> 36 [size =\"17484800\"]\n  33 -> 37 [size =\"17484800\"]\n  33 -> 38 [size =\"17484800\"]\n  34 [size=\"20037632\", alpha=\"0.10\", expect_size=\"10018816\"] \n  34 -> 36 [size =\"10018816\"]\n  34 -> 37 [size =\"10018816\"]\n  35 [size=\"48541696\", alpha=\"0.13\", expect_size=\"24270848\"] \n  35 -> 36 [size =\"24270848\"]\n  35 -> 37 [size =\"24270848\"]\n  36 [size=\"72548352\", alpha=\"0.16\", expect_size=\"36274176\"] \n  36 -> 39 [size =\"36274176\"]\n  36 -> 40 [size =\"36274176\"]\n  37 [size=\"16719872\", alpha=\"0.06\", expect_size=\"8359936\"] \n  37 -> 40 [size =\"8359936\"]\n  38 [size=\"54769664\", alpha=\"0.16\", expect_size=\"27384832\"] \n  38 -> 39 [size =\"27384832\"]\n  38 -> 40 [size =\"27384832\"]\n  38 -> 41 [size =\"27384832\"]\n  39 [size=\"19136512\", alpha=\"0.17\", expect_size=\"9568256\"] \n  39 -> 42 [size =\"9568256\"]\n  39 -> 43 [size =\"9568256\"]\n  40 [size=\"42246144\", alpha=\"0.10\", expect_size=\"21123072\"] \n  40 -> 42 [size =\"21123072\"]\n  40 -> 43 [size =\"21123072\"]\n  41 [size=\"44052480\", alpha=\"0.03\", expect_size=\"22026240\"] \n  41 -> 42 [size =\"22026240\"]\n  41 -> 43 [size =\"22026240\"]\n  42 [size=\"82700288\", alpha=\"0.11\", expect_size=\"41350144\"] \n  42 -> 44 [size =\"41350144\"]\n  42 -> 45 [size =\"41350144\"]\n  43 [size=\"57405440\", alpha=\"0.07\", expect_size=\"28702720\"] \n  43 -> 44 [size =\"28702720\"]\n  43 -> 45 [size =\"28702720\"]\n  44 [size=\"11681792\", alpha=\"0.01\", expect_size=\"5840896\"] \n  45 [size=\"60188672\", alpha=\"0.09\", expect_size=\"30094336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18517333\", alpha=\"0.12\", expect_size=\"5555200\"] \n  1 -> 12 [size =\"5555200\"]\n  1 -> 13 [size =\"5555200\"]\n  1 -> 14 [size =\"5555200\"]\n  1 -> 17 [size =\"5555200\"]\n  1 -> 18 [size =\"5555200\"]\n  1 -> 19 [size =\"5555200\"]\n  1 -> 20 [size =\"5555200\"]\n  1 -> 25 [size =\"5555200\"]\n  2 [size=\"91927893\", alpha=\"0.00\", expect_size=\"27578368\"] \n  2 -> 12 [size =\"27578368\"]\n  2 -> 13 [size =\"27578368\"]\n  2 -> 16 [size =\"27578368\"]\n  2 -> 17 [size =\"27578368\"]\n  2 -> 20 [size =\"27578368\"]\n  2 -> 21 [size =\"27578368\"]\n  3 [size=\"127184213\", alpha=\"0.06\", expect_size=\"38155264\"] \n  3 -> 12 [size =\"38155264\"]\n  3 -> 13 [size =\"38155264\"]\n  3 -> 14 [size =\"38155264\"]\n  3 -> 15 [size =\"38155264\"]\n  3 -> 16 [size =\"38155264\"]\n  3 -> 18 [size =\"38155264\"]\n  3 -> 20 [size =\"38155264\"]\n  3 -> 24 [size =\"38155264\"]\n  3 -> 25 [size =\"38155264\"]\n  4 [size=\"72850773\", alpha=\"0.08\", expect_size=\"21855232\"] \n  4 -> 12 [size =\"21855232\"]\n  4 -> 14 [size =\"21855232\"]\n  4 -> 16 [size =\"21855232\"]\n  4 -> 17 [size =\"21855232\"]\n  4 -> 19 [size =\"21855232\"]\n  4 -> 20 [size =\"21855232\"]\n  4 -> 20 [size =\"21855232\"]\n  5 [size=\"147681280\", alpha=\"0.02\", expect_size=\"44304384\"] \n  5 -> 13 [size =\"44304384\"]\n  5 -> 14 [size =\"44304384\"]\n  5 -> 15 [size =\"44304384\"]\n  5 -> 16 [size =\"44304384\"]\n  5 -> 17 [size =\"44304384\"]\n  5 -> 19 [size =\"44304384\"]\n  5 -> 20 [size =\"44304384\"]\n  5 -> 21 [size =\"44304384\"]\n  5 -> 22 [size =\"44304384\"]\n  5 -> 25 [size =\"44304384\"]\n  6 [size=\"118179840\", alpha=\"0.02\", expect_size=\"35453952\"] \n  6 -> 14 [size =\"35453952\"]\n  6 -> 14 [size =\"35453952\"]\n  6 -> 16 [size =\"35453952\"]\n  6 -> 17 [size =\"35453952\"]\n  6 -> 17 [size =\"35453952\"]\n  6 -> 19 [size =\"35453952\"]\n  6 -> 21 [size =\"35453952\"]\n  6 -> 25 [size =\"35453952\"]\n  7 [size=\"164676267\", alpha=\"0.14\", expect_size=\"49402880\"] \n  7 -> 12 [size =\"49402880\"]\n  7 -> 13 [size =\"49402880\"]\n  7 -> 14 [size =\"49402880\"]\n  7 -> 16 [size =\"49402880\"]\n  7 -> 17 [size =\"49402880\"]\n  7 -> 19 [size =\"49402880\"]\n  7 -> 20 [size =\"49402880\"]\n  7 -> 22 [size =\"49402880\"]\n  8 [size=\"51182933\", alpha=\"0.05\", expect_size=\"15354880\"] \n  8 -> 12 [size =\"15354880\"]\n  8 -> 13 [size =\"15354880\"]\n  8 -> 16 [size =\"15354880\"]\n  8 -> 16 [size =\"15354880\"]\n  8 -> 17 [size =\"15354880\"]\n  8 -> 20 [size =\"15354880\"]\n  8 -> 22 [size =\"15354880\"]\n  8 -> 22 [size =\"15354880\"]\n  9 [size=\"34891093\", alpha=\"0.11\", expect_size=\"10467328\"] \n  9 -> 12 [size =\"10467328\"]\n  9 -> 13 [size =\"10467328\"]\n  9 -> 19 [size =\"10467328\"]\n  9 -> 20 [size =\"10467328\"]\n  9 -> 22 [size =\"10467328\"]\n  9 -> 24 [size =\"10467328\"]\n  9 -> 25 [size =\"10467328\"]\n  10 [size=\"61972480\", alpha=\"0.02\", expect_size=\"18591744\"] \n  10 -> 12 [size =\"18591744\"]\n  10 -> 13 [size =\"18591744\"]\n  10 -> 14 [size =\"18591744\"]\n  10 -> 15 [size =\"18591744\"]\n  10 -> 20 [size =\"18591744\"]\n  10 -> 22 [size =\"18591744\"]\n  10 -> 23 [size =\"18591744\"]\n  11 [size=\"75840853\", alpha=\"0.15\", expect_size=\"22752256\"] \n  11 -> 12 [size =\"22752256\"]\n  11 -> 16 [size =\"22752256\"]\n  11 -> 18 [size =\"22752256\"]\n  11 -> 19 [size =\"22752256\"]\n  11 -> 24 [size =\"22752256\"]\n  11 -> 25 [size =\"22752256\"]\n  12 [size=\"167048533\", alpha=\"0.16\", expect_size=\"50114560\"] \n  12 -> 27 [size =\"50114560\"]\n  12 -> 27 [size =\"50114560\"]\n  12 -> 28 [size =\"50114560\"]\n  12 -> 32 [size =\"50114560\"]\n  12 -> 35 [size =\"50114560\"]\n  12 -> 36 [size =\"50114560\"]\n  13 [size=\"167966720\", alpha=\"0.11\", expect_size=\"50390016\"] \n  13 -> 28 [size =\"50390016\"]\n  13 -> 30 [size =\"50390016\"]\n  13 -> 32 [size =\"50390016\"]\n  13 -> 36 [size =\"50390016\"]\n  13 -> 37 [size =\"50390016\"]\n  13 -> 39 [size =\"50390016\"]\n  14 [size=\"58825387\", alpha=\"0.12\", expect_size=\"17647616\"] \n  14 -> 28 [size =\"17647616\"]\n  14 -> 35 [size =\"17647616\"]\n  14 -> 37 [size =\"17647616\"]\n  14 -> 39 [size =\"17647616\"]\n  15 [size=\"120046933\", alpha=\"0.11\", expect_size=\"36014080\"] \n  15 -> 32 [size =\"36014080\"]\n  15 -> 39 [size =\"36014080\"]\n  16 [size=\"134236160\", alpha=\"0.05\", expect_size=\"40270848\"] \n  16 -> 27 [size =\"40270848\"]\n  16 -> 28 [size =\"40270848\"]\n  16 -> 29 [size =\"40270848\"]\n  16 -> 30 [size =\"40270848\"]\n  16 -> 34 [size =\"40270848\"]\n  16 -> 35 [size =\"40270848\"]\n  17 [size=\"153398613\", alpha=\"0.05\", expect_size=\"46019584\"] \n  17 -> 27 [size =\"46019584\"]\n  17 -> 32 [size =\"46019584\"]\n  17 -> 35 [size =\"46019584\"]\n  17 -> 38 [size =\"46019584\"]\n  18 [size=\"106103467\", alpha=\"0.09\", expect_size=\"31831040\"] \n  18 -> 26 [size =\"31831040\"]\n  18 -> 28 [size =\"31831040\"]\n  18 -> 29 [size =\"31831040\"]\n  18 -> 30 [size =\"31831040\"]\n  18 -> 34 [size =\"31831040\"]\n  18 -> 36 [size =\"31831040\"]\n  18 -> 37 [size =\"31831040\"]\n  18 -> 39 [size =\"31831040\"]\n  19 [size=\"147623253\", alpha=\"0.12\", expect_size=\"44286976\"] \n  19 -> 28 [size =\"44286976\"]\n  19 -> 28 [size =\"44286976\"]\n  19 -> 32 [size =\"44286976\"]\n  19 -> 37 [size =\"44286976\"]\n  19 -> 39 [size =\"44286976\"]\n  20 [size=\"74523307\", alpha=\"0.05\", expect_size=\"22356992\"] \n  20 -> 27 [size =\"22356992\"]\n  20 -> 28 [size =\"22356992\"]\n  20 -> 30 [size =\"22356992\"]\n  20 -> 31 [size =\"22356992\"]\n  20 -> 32 [size =\"22356992\"]\n  20 -> 38 [size =\"22356992\"]\n  20 -> 39 [size =\"22356992\"]\n  21 [size=\"88777387\", alpha=\"0.18\", expect_size=\"26633216\"] \n  21 -> 26 [size =\"26633216\"]\n  21 -> 30 [size =\"26633216\"]\n  21 -> 33 [size =\"26633216\"]\n  21 -> 35 [size =\"26633216\"]\n  21 -> 37 [size =\"26633216\"]\n  21 -> 39 [size =\"26633216\"]\n  22 [size=\"45605547\", alpha=\"0.01\", expect_size=\"13681664\"] \n  22 -> 27 [size =\"13681664\"]\n  22 -> 28 [size =\"13681664\"]\n  22 -> 37 [size =\"13681664\"]\n  23 [size=\"172660053\", alpha=\"0.17\", expect_size=\"51798016\"] \n  23 -> 27 [size =\"51798016\"]\n  23 -> 28 [size =\"51798016\"]\n  23 -> 30 [size =\"51798016\"]\n  23 -> 35 [size =\"51798016\"]\n  23 -> 37 [size =\"51798016\"]\n  23 -> 38 [size =\"51798016\"]\n  24 [size=\"98461013\", alpha=\"0.01\", expect_size=\"29538304\"] \n  24 -> 27 [size =\"29538304\"]\n  24 -> 28 [size =\"29538304\"]\n  24 -> 29 [size =\"29538304\"]\n  24 -> 30 [size =\"29538304\"]\n  24 -> 38 [size =\"29538304\"]\n  25 [size=\"36563627\", alpha=\"0.01\", expect_size=\"10969088\"] \n  25 -> 26 [size =\"10969088\"]\n  25 -> 27 [size =\"10969088\"]\n  25 -> 28 [size =\"10969088\"]\n  25 -> 32 [size =\"10969088\"]\n  25 -> 35 [size =\"10969088\"]\n  25 -> 37 [size =\"10969088\"]\n  25 -> 38 [size =\"10969088\"]\n  25 -> 39 [size =\"10969088\"]\n  26 [size=\"125699413\", alpha=\"0.14\", expect_size=\"37709824\"] \n  26 -> 41 [size =\"37709824\"]\n  26 -> 42 [size =\"37709824\"]\n  26 -> 44 [size =\"37709824\"]\n  27 [size=\"162624853\", alpha=\"0.06\", expect_size=\"48787456\"] \n  27 -> 42 [size =\"48787456\"]\n  27 -> 44 [size =\"48787456\"]\n  28 [size=\"44308480\", alpha=\"0.02\", expect_size=\"13292544\"] \n  28 -> 40 [size =\"13292544\"]\n  28 -> 42 [size =\"13292544\"]\n  28 -> 43 [size =\"13292544\"]\n  28 -> 44 [size =\"13292544\"]\n  29 [size=\"118995627\", alpha=\"0.20\", expect_size=\"35698688\"] \n  29 -> 44 [size =\"35698688\"]\n  30 [size=\"54555307\", alpha=\"0.04\", expect_size=\"16366592\"] \n  30 -> 40 [size =\"16366592\"]\n  30 -> 41 [size =\"16366592\"]\n  30 -> 42 [size =\"16366592\"]\n  31 [size=\"92474027\", alpha=\"0.15\", expect_size=\"27742208\"] \n  31 -> 41 [size =\"27742208\"]\n  31 -> 45 [size =\"27742208\"]\n  32 [size=\"76499627\", alpha=\"0.05\", expect_size=\"22949888\"] \n  32 -> 41 [size =\"22949888\"]\n  32 -> 44 [size =\"22949888\"]\n  33 [size=\"81090560\", alpha=\"0.15\", expect_size=\"24327168\"] \n  33 -> 42 [size =\"24327168\"]\n  33 -> 44 [size =\"24327168\"]\n  34 [size=\"58668373\", alpha=\"0.09\", expect_size=\"17600512\"] \n  34 -> 40 [size =\"17600512\"]\n  34 -> 43 [size =\"17600512\"]\n  35 [size=\"64607573\", alpha=\"0.17\", expect_size=\"19382272\"] \n  35 -> 41 [size =\"19382272\"]\n  35 -> 44 [size =\"19382272\"]\n  36 [size=\"71833600\", alpha=\"0.20\", expect_size=\"21550080\"] \n  36 -> 41 [size =\"21550080\"]\n  36 -> 43 [size =\"21550080\"]\n  37 [size=\"23760213\", alpha=\"0.19\", expect_size=\"7128064\"] \n  37 -> 41 [size =\"7128064\"]\n  37 -> 43 [size =\"7128064\"]\n  37 -> 44 [size =\"7128064\"]\n  38 [size=\"67587413\", alpha=\"0.11\", expect_size=\"20276224\"] \n  38 -> 41 [size =\"20276224\"]\n  38 -> 44 [size =\"20276224\"]\n  38 -> 44 [size =\"20276224\"]\n  38 -> 45 [size =\"20276224\"]\n  39 [size=\"79745707\", alpha=\"0.18\", expect_size=\"23923712\"] \n  39 -> 41 [size =\"23923712\"]\n  40 [size=\"77643093\", alpha=\"0.13\", expect_size=\"23292928\"] \n  41 [size=\"105782613\", alpha=\"0.17\", expect_size=\"31734784\"] \n  42 [size=\"65245867\", alpha=\"0.05\", expect_size=\"19573760\"] \n  43 [size=\"105601707\", alpha=\"0.12\", expect_size=\"31680512\"] \n  44 [size=\"62774613\", alpha=\"0.10\", expect_size=\"18832384\"] \n  45 [size=\"135403520\", alpha=\"0.10\", expect_size=\"40621056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72663040\", alpha=\"0.07\", expect_size=\"36331520\"] \n  1 -> 37 [size =\"36331520\"]\n  1 -> 39 [size =\"36331520\"]\n  1 -> 44 [size =\"36331520\"]\n  1 -> 45 [size =\"36331520\"]\n  2 [size=\"64704512\", alpha=\"0.11\", expect_size=\"32352256\"] \n  2 -> 37 [size =\"32352256\"]\n  2 -> 39 [size =\"32352256\"]\n  2 -> 40 [size =\"32352256\"]\n  2 -> 44 [size =\"32352256\"]\n  3 [size=\"28504064\", alpha=\"0.04\", expect_size=\"14252032\"] \n  3 -> 38 [size =\"14252032\"]\n  3 -> 39 [size =\"14252032\"]\n  3 -> 40 [size =\"14252032\"]\n  3 -> 42 [size =\"14252032\"]\n  3 -> 45 [size =\"14252032\"]\n  4 [size=\"61601792\", alpha=\"0.19\", expect_size=\"30800896\"] \n  4 -> 38 [size =\"30800896\"]\n  4 -> 39 [size =\"30800896\"]\n  4 -> 43 [size =\"30800896\"]\n  5 [size=\"63191040\", alpha=\"0.04\", expect_size=\"31595520\"] \n  5 -> 38 [size =\"31595520\"]\n  5 -> 39 [size =\"31595520\"]\n  5 -> 40 [size =\"31595520\"]\n  6 [size=\"103487488\", alpha=\"0.09\", expect_size=\"51743744\"] \n  6 -> 38 [size =\"51743744\"]\n  6 -> 40 [size =\"51743744\"]\n  7 [size=\"86833152\", alpha=\"0.07\", expect_size=\"43416576\"] \n  7 -> 39 [size =\"43416576\"]\n  7 -> 40 [size =\"43416576\"]\n  7 -> 42 [size =\"43416576\"]\n  8 [size=\"34172928\", alpha=\"0.13\", expect_size=\"17086464\"] \n  8 -> 38 [size =\"17086464\"]\n  8 -> 39 [size =\"17086464\"]\n  9 [size=\"71053312\", alpha=\"0.06\", expect_size=\"35526656\"] \n  9 -> 37 [size =\"35526656\"]\n  9 -> 39 [size =\"35526656\"]\n  10 [size=\"80101376\", alpha=\"0.04\", expect_size=\"40050688\"] \n  11 [size=\"19763200\", alpha=\"0.18\", expect_size=\"9881600\"] \n  11 -> 39 [size =\"9881600\"]\n  12 [size=\"55031808\", alpha=\"0.14\", expect_size=\"27515904\"] \n  12 -> 37 [size =\"27515904\"]\n  12 -> 39 [size =\"27515904\"]\n  12 -> 40 [size =\"27515904\"]\n  13 [size=\"13717504\", alpha=\"0.08\", expect_size=\"6858752\"] \n  13 -> 37 [size =\"6858752\"]\n  13 -> 39 [size =\"6858752\"]\n  13 -> 45 [size =\"6858752\"]\n  14 [size=\"34007040\", alpha=\"0.10\", expect_size=\"17003520\"] \n  14 -> 37 [size =\"17003520\"]\n  14 -> 40 [size =\"17003520\"]\n  15 [size=\"29650944\", alpha=\"0.06\", expect_size=\"14825472\"] \n  15 -> 37 [size =\"14825472\"]\n  15 -> 39 [size =\"14825472\"]\n  16 [size=\"47474688\", alpha=\"0.05\", expect_size=\"23737344\"] \n  16 -> 37 [size =\"23737344\"]\n  16 -> 39 [size =\"23737344\"]\n  16 -> 40 [size =\"23737344\"]\n  17 [size=\"90998784\", alpha=\"0.10\", expect_size=\"45499392\"] \n  17 -> 37 [size =\"45499392\"]\n  17 -> 39 [size =\"45499392\"]\n  17 -> 40 [size =\"45499392\"]\n  17 -> 42 [size =\"45499392\"]\n  17 -> 43 [size =\"45499392\"]\n  18 [size=\"28532736\", alpha=\"0.13\", expect_size=\"14266368\"] \n  18 -> 37 [size =\"14266368\"]\n  18 -> 39 [size =\"14266368\"]\n  18 -> 42 [size =\"14266368\"]\n  19 [size=\"91629568\", alpha=\"0.06\", expect_size=\"45814784\"] \n  19 -> 37 [size =\"45814784\"]\n  19 -> 39 [size =\"45814784\"]\n  19 -> 42 [size =\"45814784\"]\n  20 [size=\"24657920\", alpha=\"0.11\", expect_size=\"12328960\"] \n  20 -> 40 [size =\"12328960\"]\n  21 [size=\"41437184\", alpha=\"0.09\", expect_size=\"20718592\"] \n  21 -> 38 [size =\"20718592\"]\n  21 -> 41 [size =\"20718592\"]\n  22 [size=\"32409600\", alpha=\"0.19\", expect_size=\"16204800\"] \n  22 -> 39 [size =\"16204800\"]\n  22 -> 42 [size =\"16204800\"]\n  22 -> 44 [size =\"16204800\"]\n  23 [size=\"98846720\", alpha=\"0.13\", expect_size=\"49423360\"] \n  23 -> 37 [size =\"49423360\"]\n  23 -> 39 [size =\"49423360\"]\n  24 [size=\"39993344\", alpha=\"0.17\", expect_size=\"19996672\"] \n  24 -> 37 [size =\"19996672\"]\n  24 -> 39 [size =\"19996672\"]\n  24 -> 44 [size =\"19996672\"]\n  25 [size=\"85448704\", alpha=\"0.13\", expect_size=\"42724352\"] \n  25 -> 39 [size =\"42724352\"]\n  25 -> 40 [size =\"42724352\"]\n  26 [size=\"18071552\", alpha=\"0.08\", expect_size=\"9035776\"] \n  26 -> 43 [size =\"9035776\"]\n  27 [size=\"42397696\", alpha=\"0.20\", expect_size=\"21198848\"] \n  27 -> 39 [size =\"21198848\"]\n  27 -> 42 [size =\"21198848\"]\n  28 [size=\"87910400\", alpha=\"0.16\", expect_size=\"43955200\"] \n  28 -> 40 [size =\"43955200\"]\n  28 -> 44 [size =\"43955200\"]\n  29 [size=\"53358592\", alpha=\"0.05\", expect_size=\"26679296\"] \n  29 -> 37 [size =\"26679296\"]\n  29 -> 38 [size =\"26679296\"]\n  29 -> 40 [size =\"26679296\"]\n  29 -> 44 [size =\"26679296\"]\n  30 [size=\"79843328\", alpha=\"0.10\", expect_size=\"39921664\"] \n  30 -> 39 [size =\"39921664\"]\n  30 -> 40 [size =\"39921664\"]\n  31 [size=\"36272128\", alpha=\"0.16\", expect_size=\"18136064\"] \n  31 -> 44 [size =\"18136064\"]\n  32 [size=\"79192064\", alpha=\"0.11\", expect_size=\"39596032\"] \n  32 -> 37 [size =\"39596032\"]\n  33 [size=\"74080256\", alpha=\"0.08\", expect_size=\"37040128\"] \n  33 -> 37 [size =\"37040128\"]\n  33 -> 38 [size =\"37040128\"]\n  33 -> 39 [size =\"37040128\"]\n  34 [size=\"38957056\", alpha=\"0.09\", expect_size=\"19478528\"] \n  34 -> 41 [size =\"19478528\"]\n  35 [size=\"24936448\", alpha=\"0.14\", expect_size=\"12468224\"] \n  35 -> 37 [size =\"12468224\"]\n  35 -> 39 [size =\"12468224\"]\n  35 -> 42 [size =\"12468224\"]\n  35 -> 43 [size =\"12468224\"]\n  36 [size=\"84727808\", alpha=\"0.07\", expect_size=\"42363904\"] \n  36 -> 42 [size =\"42363904\"]\n  37 [size=\"28217344\", alpha=\"0.17\", expect_size=\"14108672\"] \n  38 [size=\"26126336\", alpha=\"0.11\", expect_size=\"13063168\"] \n  39 [size=\"102141952\", alpha=\"0.03\", expect_size=\"51070976\"] \n  40 [size=\"33720320\", alpha=\"0.17\", expect_size=\"16860160\"] \n  41 [size=\"79220736\", alpha=\"0.18\", expect_size=\"39610368\"] \n  42 [size=\"59179008\", alpha=\"0.03\", expect_size=\"29589504\"] \n  43 [size=\"18137088\", alpha=\"0.07\", expect_size=\"9068544\"] \n  44 [size=\"53704704\", alpha=\"0.17\", expect_size=\"26852352\"] \n  45 [size=\"95033344\", alpha=\"0.04\", expect_size=\"47516672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63679147\", alpha=\"0.07\", expect_size=\"19103744\"] \n  1 -> 4 [size =\"19103744\"]\n  2 [size=\"136140800\", alpha=\"0.02\", expect_size=\"40842240\"] \n  2 -> 3 [size =\"40842240\"]\n  2 -> 5 [size =\"40842240\"]\n  3 [size=\"118173013\", alpha=\"0.11\", expect_size=\"35451904\"] \n  4 [size=\"173363200\", alpha=\"0.00\", expect_size=\"52008960\"] \n  5 [size=\"32972800\", alpha=\"0.06\", expect_size=\"9891840\"] \n  5 -> 6 [size =\"9891840\"]\n  5 -> 7 [size =\"9891840\"]\n  6 [size=\"91269120\", alpha=\"0.16\", expect_size=\"27380736\"] \n  6 -> 8 [size =\"27380736\"]\n  7 [size=\"95416320\", alpha=\"0.12\", expect_size=\"28624896\"] \n  7 -> 9 [size =\"28624896\"]\n  8 [size=\"71410347\", alpha=\"0.10\", expect_size=\"21423104\"] \n  8 -> 10 [size =\"21423104\"]\n  9 [size=\"57995947\", alpha=\"0.11\", expect_size=\"17398784\"] \n  9 -> 11 [size =\"17398784\"]\n  10 [size=\"94453760\", alpha=\"0.01\", expect_size=\"28336128\"] \n  11 [size=\"152340480\", alpha=\"0.00\", expect_size=\"45702144\"] \n  11 -> 12 [size =\"45702144\"]\n  11 -> 13 [size =\"45702144\"]\n  11 -> 14 [size =\"45702144\"]\n  12 [size=\"49291947\", alpha=\"0.10\", expect_size=\"14787584\"] \n  12 -> 15 [size =\"14787584\"]\n  13 [size=\"68949333\", alpha=\"0.12\", expect_size=\"20684800\"] \n  14 [size=\"156197547\", alpha=\"0.19\", expect_size=\"46859264\"] \n  14 -> 15 [size =\"46859264\"]\n  14 -> 16 [size =\"46859264\"]\n  15 [size=\"157740373\", alpha=\"0.01\", expect_size=\"47322112\"] \n  16 [size=\"44127573\", alpha=\"0.07\", expect_size=\"13238272\"] \n  16 -> 17 [size =\"13238272\"]\n  16 -> 18 [size =\"13238272\"]\n  17 [size=\"169669973\", alpha=\"0.17\", expect_size=\"50900992\"] \n  17 -> 21 [size =\"50900992\"]\n  18 [size=\"107581440\", alpha=\"0.11\", expect_size=\"32274432\"] \n  18 -> 19 [size =\"32274432\"]\n  18 -> 20 [size =\"32274432\"]\n  19 [size=\"25279147\", alpha=\"0.06\", expect_size=\"7583744\"] \n  19 -> 22 [size =\"7583744\"]\n  19 -> 23 [size =\"7583744\"]\n  19 -> 24 [size =\"7583744\"]\n  20 [size=\"107946667\", alpha=\"0.03\", expect_size=\"32384000\"] \n  20 -> 22 [size =\"32384000\"]\n  20 -> 23 [size =\"32384000\"]\n  21 [size=\"115493547\", alpha=\"0.06\", expect_size=\"34648064\"] \n  22 [size=\"117326507\", alpha=\"0.03\", expect_size=\"35197952\"] \n  23 [size=\"41291093\", alpha=\"0.14\", expect_size=\"12387328\"] \n  23 -> 25 [size =\"12387328\"]\n  24 [size=\"134355627\", alpha=\"0.04\", expect_size=\"40306688\"] \n  24 -> 25 [size =\"40306688\"]\n  24 -> 26 [size =\"40306688\"]\n  25 [size=\"130153813\", alpha=\"0.16\", expect_size=\"39046144\"] \n  25 -> 28 [size =\"39046144\"]\n  26 [size=\"137178453\", alpha=\"0.18\", expect_size=\"41153536\"] \n  26 -> 27 [size =\"41153536\"]\n  26 -> 29 [size =\"41153536\"]\n  27 [size=\"36720640\", alpha=\"0.10\", expect_size=\"11016192\"] \n  27 -> 31 [size =\"11016192\"]\n  27 -> 32 [size =\"11016192\"]\n  28 [size=\"167966720\", alpha=\"0.08\", expect_size=\"50390016\"] \n  28 -> 32 [size =\"50390016\"]\n  29 [size=\"96648533\", alpha=\"0.12\", expect_size=\"28994560\"] \n  29 -> 30 [size =\"28994560\"]\n  30 [size=\"147326293\", alpha=\"0.05\", expect_size=\"44197888\"] \n  30 -> 33 [size =\"44197888\"]\n  31 [size=\"172052480\", alpha=\"0.15\", expect_size=\"51615744\"] \n  31 -> 33 [size =\"51615744\"]\n  31 -> 34 [size =\"51615744\"]\n  32 [size=\"59746987\", alpha=\"0.10\", expect_size=\"17924096\"] \n  33 [size=\"86364160\", alpha=\"0.11\", expect_size=\"25909248\"] \n  33 -> 35 [size =\"25909248\"]\n  34 [size=\"38024533\", alpha=\"0.10\", expect_size=\"11407360\"] \n  34 -> 36 [size =\"11407360\"]\n  35 [size=\"70615040\", alpha=\"0.06\", expect_size=\"21184512\"] \n  35 -> 37 [size =\"21184512\"]\n  36 [size=\"42345813\", alpha=\"0.06\", expect_size=\"12703744\"] \n  36 -> 38 [size =\"12703744\"]\n  37 [size=\"27016533\", alpha=\"0.06\", expect_size=\"8104960\"] \n  38 [size=\"102567253\", alpha=\"0.16\", expect_size=\"30770176\"] \n  38 -> 39 [size =\"30770176\"]\n  38 -> 40 [size =\"30770176\"]\n  39 [size=\"165642240\", alpha=\"0.08\", expect_size=\"49692672\"] \n  39 -> 43 [size =\"49692672\"]\n  40 [size=\"99481600\", alpha=\"0.11\", expect_size=\"29844480\"] \n  40 -> 41 [size =\"29844480\"]\n  40 -> 42 [size =\"29844480\"]\n  41 [size=\"138345813\", alpha=\"0.07\", expect_size=\"41503744\"] \n  41 -> 44 [size =\"41503744\"]\n  42 [size=\"102529707\", alpha=\"0.16\", expect_size=\"30758912\"] \n  42 -> 45 [size =\"30758912\"]\n  43 [size=\"23852373\", alpha=\"0.07\", expect_size=\"7155712\"] \n  44 [size=\"111069867\", alpha=\"0.13\", expect_size=\"33320960\"] \n  45 [size=\"31051093\", alpha=\"0.14\", expect_size=\"9315328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49360896\", alpha=\"0.15\", expect_size=\"24680448\"] \n  1 -> 5 [size =\"24680448\"]\n  1 -> 6 [size =\"24680448\"]\n  1 -> 8 [size =\"24680448\"]\n  1 -> 9 [size =\"24680448\"]\n  2 [size=\"28233728\", alpha=\"0.13\", expect_size=\"14116864\"] \n  2 -> 6 [size =\"14116864\"]\n  2 -> 8 [size =\"14116864\"]\n  2 -> 9 [size =\"14116864\"]\n  2 -> 10 [size =\"14116864\"]\n  3 [size=\"59891712\", alpha=\"0.08\", expect_size=\"29945856\"] \n  3 -> 5 [size =\"29945856\"]\n  3 -> 6 [size =\"29945856\"]\n  3 -> 8 [size =\"29945856\"]\n  4 [size=\"14346240\", alpha=\"0.12\", expect_size=\"7173120\"] \n  4 -> 5 [size =\"7173120\"]\n  4 -> 6 [size =\"7173120\"]\n  4 -> 7 [size =\"7173120\"]\n  4 -> 8 [size =\"7173120\"]\n  5 [size=\"66783232\", alpha=\"0.03\", expect_size=\"33391616\"] \n  5 -> 11 [size =\"33391616\"]\n  5 -> 12 [size =\"33391616\"]\n  5 -> 13 [size =\"33391616\"]\n  5 -> 15 [size =\"33391616\"]\n  5 -> 16 [size =\"33391616\"]\n  5 -> 17 [size =\"33391616\"]\n  6 [size=\"32503808\", alpha=\"0.02\", expect_size=\"16251904\"] \n  6 -> 11 [size =\"16251904\"]\n  6 -> 13 [size =\"16251904\"]\n  6 -> 15 [size =\"16251904\"]\n  6 -> 17 [size =\"16251904\"]\n  7 [size=\"55633920\", alpha=\"0.13\", expect_size=\"27816960\"] \n  7 -> 11 [size =\"27816960\"]\n  7 -> 13 [size =\"27816960\"]\n  7 -> 16 [size =\"27816960\"]\n  7 -> 17 [size =\"27816960\"]\n  8 [size=\"56756224\", alpha=\"0.20\", expect_size=\"28378112\"] \n  8 -> 12 [size =\"28378112\"]\n  8 -> 13 [size =\"28378112\"]\n  8 -> 15 [size =\"28378112\"]\n  8 -> 17 [size =\"28378112\"]\n  9 [size=\"10766336\", alpha=\"0.10\", expect_size=\"5383168\"] \n  9 -> 11 [size =\"5383168\"]\n  9 -> 12 [size =\"5383168\"]\n  9 -> 14 [size =\"5383168\"]\n  9 -> 17 [size =\"5383168\"]\n  10 [size=\"68298752\", alpha=\"0.05\", expect_size=\"34149376\"] \n  10 -> 11 [size =\"34149376\"]\n  10 -> 12 [size =\"34149376\"]\n  10 -> 13 [size =\"34149376\"]\n  10 -> 15 [size =\"34149376\"]\n  10 -> 16 [size =\"34149376\"]\n  10 -> 17 [size =\"34149376\"]\n  10 -> 18 [size =\"34149376\"]\n  11 [size=\"91154432\", alpha=\"0.05\", expect_size=\"45577216\"] \n  11 -> 20 [size =\"45577216\"]\n  11 -> 20 [size =\"45577216\"]\n  11 -> 21 [size =\"45577216\"]\n  11 -> 23 [size =\"45577216\"]\n  12 [size=\"67831808\", alpha=\"0.19\", expect_size=\"33915904\"] \n  12 -> 21 [size =\"33915904\"]\n  12 -> 22 [size =\"33915904\"]\n  12 -> 23 [size =\"33915904\"]\n  12 -> 23 [size =\"33915904\"]\n  12 -> 24 [size =\"33915904\"]\n  13 [size=\"35852288\", alpha=\"0.12\", expect_size=\"17926144\"] \n  13 -> 19 [size =\"17926144\"]\n  13 -> 20 [size =\"17926144\"]\n  13 -> 21 [size =\"17926144\"]\n  13 -> 23 [size =\"17926144\"]\n  13 -> 24 [size =\"17926144\"]\n  14 [size=\"75083776\", alpha=\"0.17\", expect_size=\"37541888\"] \n  14 -> 19 [size =\"37541888\"]\n  14 -> 21 [size =\"37541888\"]\n  14 -> 22 [size =\"37541888\"]\n  14 -> 23 [size =\"37541888\"]\n  15 [size=\"38215680\", alpha=\"0.06\", expect_size=\"19107840\"] \n  15 -> 20 [size =\"19107840\"]\n  15 -> 21 [size =\"19107840\"]\n  15 -> 23 [size =\"19107840\"]\n  16 [size=\"52420608\", alpha=\"0.07\", expect_size=\"26210304\"] \n  16 -> 24 [size =\"26210304\"]\n  17 [size=\"60680192\", alpha=\"0.06\", expect_size=\"30340096\"] \n  17 -> 19 [size =\"30340096\"]\n  17 -> 20 [size =\"30340096\"]\n  17 -> 23 [size =\"30340096\"]\n  17 -> 24 [size =\"30340096\"]\n  18 [size=\"28846080\", alpha=\"0.10\", expect_size=\"14423040\"] \n  18 -> 19 [size =\"14423040\"]\n  18 -> 20 [size =\"14423040\"]\n  18 -> 22 [size =\"14423040\"]\n  19 [size=\"27353088\", alpha=\"0.12\", expect_size=\"13676544\"] \n  19 -> 28 [size =\"13676544\"]\n  20 [size=\"73758720\", alpha=\"0.03\", expect_size=\"36879360\"] \n  21 [size=\"96038912\", alpha=\"0.02\", expect_size=\"48019456\"] \n  21 -> 27 [size =\"48019456\"]\n  22 [size=\"25055232\", alpha=\"0.05\", expect_size=\"12527616\"] \n  22 -> 26 [size =\"12527616\"]\n  22 -> 27 [size =\"12527616\"]\n  23 [size=\"21196800\", alpha=\"0.19\", expect_size=\"10598400\"] \n  23 -> 28 [size =\"10598400\"]\n  23 -> 29 [size =\"10598400\"]\n  24 [size=\"78077952\", alpha=\"0.13\", expect_size=\"39038976\"] \n  24 -> 25 [size =\"39038976\"]\n  24 -> 27 [size =\"39038976\"]\n  24 -> 30 [size =\"39038976\"]\n  25 [size=\"63752192\", alpha=\"0.19\", expect_size=\"31876096\"] \n  25 -> 31 [size =\"31876096\"]\n  26 [size=\"91170816\", alpha=\"0.10\", expect_size=\"45585408\"] \n  26 -> 31 [size =\"45585408\"]\n  27 [size=\"30902272\", alpha=\"0.10\", expect_size=\"15451136\"] \n  27 -> 31 [size =\"15451136\"]\n  27 -> 34 [size =\"15451136\"]\n  28 [size=\"58351616\", alpha=\"0.01\", expect_size=\"29175808\"] \n  28 -> 31 [size =\"29175808\"]\n  28 -> 35 [size =\"29175808\"]\n  29 [size=\"12386304\", alpha=\"0.11\", expect_size=\"6193152\"] \n  29 -> 31 [size =\"6193152\"]\n  29 -> 32 [size =\"6193152\"]\n  29 -> 33 [size =\"6193152\"]\n  29 -> 34 [size =\"6193152\"]\n  30 [size=\"69376000\", alpha=\"0.13\", expect_size=\"34688000\"] \n  30 -> 31 [size =\"34688000\"]\n  30 -> 33 [size =\"34688000\"]\n  31 [size=\"83709952\", alpha=\"0.13\", expect_size=\"41854976\"] \n  31 -> 36 [size =\"41854976\"]\n  31 -> 38 [size =\"41854976\"]\n  31 -> 41 [size =\"41854976\"]\n  31 -> 42 [size =\"41854976\"]\n  32 [size=\"94263296\", alpha=\"0.05\", expect_size=\"47131648\"] \n  32 -> 36 [size =\"47131648\"]\n  32 -> 37 [size =\"47131648\"]\n  32 -> 38 [size =\"47131648\"]\n  32 -> 41 [size =\"47131648\"]\n  33 [size=\"24414208\", alpha=\"0.02\", expect_size=\"12207104\"] \n  33 -> 38 [size =\"12207104\"]\n  33 -> 40 [size =\"12207104\"]\n  33 -> 41 [size =\"12207104\"]\n  33 -> 42 [size =\"12207104\"]\n  34 [size=\"17938432\", alpha=\"0.13\", expect_size=\"8969216\"] \n  34 -> 36 [size =\"8969216\"]\n  34 -> 40 [size =\"8969216\"]\n  35 [size=\"78700544\", alpha=\"0.10\", expect_size=\"39350272\"] \n  35 -> 36 [size =\"39350272\"]\n  35 -> 37 [size =\"39350272\"]\n  35 -> 39 [size =\"39350272\"]\n  35 -> 40 [size =\"39350272\"]\n  35 -> 41 [size =\"39350272\"]\n  36 [size=\"74254336\", alpha=\"0.15\", expect_size=\"37127168\"] \n  36 -> 43 [size =\"37127168\"]\n  37 [size=\"26619904\", alpha=\"0.11\", expect_size=\"13309952\"] \n  37 -> 43 [size =\"13309952\"]\n  37 -> 44 [size =\"13309952\"]\n  37 -> 45 [size =\"13309952\"]\n  38 [size=\"75315200\", alpha=\"0.12\", expect_size=\"37657600\"] \n  38 -> 43 [size =\"37657600\"]\n  39 [size=\"77869056\", alpha=\"0.15\", expect_size=\"38934528\"] \n  40 [size=\"34564096\", alpha=\"0.12\", expect_size=\"17282048\"] \n  40 -> 43 [size =\"17282048\"]\n  40 -> 44 [size =\"17282048\"]\n  41 [size=\"97581056\", alpha=\"0.08\", expect_size=\"48790528\"] \n  42 [size=\"64479232\", alpha=\"0.06\", expect_size=\"32239616\"] \n  42 -> 43 [size =\"32239616\"]\n  42 -> 44 [size =\"32239616\"]\n  43 [size=\"86976512\", alpha=\"0.07\", expect_size=\"43488256\"] \n  44 [size=\"96065536\", alpha=\"0.02\", expect_size=\"48032768\"] \n  45 [size=\"61976576\", alpha=\"0.08\", expect_size=\"30988288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73605120\", alpha=\"0.11\", expect_size=\"22081536\"] \n  1 -> 2 [size =\"22081536\"]\n  2 [size=\"162901333\", alpha=\"0.10\", expect_size=\"48870400\"] \n  2 -> 3 [size =\"48870400\"]\n  3 [size=\"43253760\", alpha=\"0.11\", expect_size=\"12976128\"] \n  3 -> 4 [size =\"12976128\"]\n  4 [size=\"117691733\", alpha=\"0.12\", expect_size=\"35307520\"] \n  4 -> 5 [size =\"35307520\"]\n  5 [size=\"22572373\", alpha=\"0.09\", expect_size=\"6771712\"] \n  5 -> 6 [size =\"6771712\"]\n  6 [size=\"40632320\", alpha=\"0.16\", expect_size=\"12189696\"] \n  6 -> 7 [size =\"12189696\"]\n  7 [size=\"33249280\", alpha=\"0.07\", expect_size=\"9974784\"] \n  7 -> 8 [size =\"9974784\"]\n  8 [size=\"22237867\", alpha=\"0.17\", expect_size=\"6671360\"] \n  8 -> 9 [size =\"6671360\"]\n  9 [size=\"63341227\", alpha=\"0.00\", expect_size=\"19002368\"] \n  9 -> 10 [size =\"19002368\"]\n  10 [size=\"147015680\", alpha=\"0.04\", expect_size=\"44104704\"] \n  10 -> 11 [size =\"44104704\"]\n  11 [size=\"36160853\", alpha=\"0.09\", expect_size=\"10848256\"] \n  11 -> 12 [size =\"10848256\"]\n  12 [size=\"126184107\", alpha=\"0.06\", expect_size=\"37855232\"] \n  12 -> 13 [size =\"37855232\"]\n  13 [size=\"48035840\", alpha=\"0.15\", expect_size=\"14410752\"] \n  13 -> 14 [size =\"14410752\"]\n  14 [size=\"135577600\", alpha=\"0.03\", expect_size=\"40673280\"] \n  14 -> 15 [size =\"40673280\"]\n  15 [size=\"72553813\", alpha=\"0.09\", expect_size=\"21766144\"] \n  15 -> 16 [size =\"21766144\"]\n  16 [size=\"142199467\", alpha=\"0.13\", expect_size=\"42659840\"] \n  16 -> 17 [size =\"42659840\"]\n  17 [size=\"114432000\", alpha=\"0.05\", expect_size=\"34329600\"] \n  17 -> 18 [size =\"34329600\"]\n  18 [size=\"169564160\", alpha=\"0.14\", expect_size=\"50869248\"] \n  18 -> 19 [size =\"50869248\"]\n  19 [size=\"144779947\", alpha=\"0.10\", expect_size=\"43433984\"] \n  19 -> 20 [size =\"43433984\"]\n  20 [size=\"146892800\", alpha=\"0.13\", expect_size=\"44067840\"] \n  20 -> 21 [size =\"44067840\"]\n  21 [size=\"20445867\", alpha=\"0.03\", expect_size=\"6133760\"] \n  21 -> 22 [size =\"6133760\"]\n  22 [size=\"89477120\", alpha=\"0.12\", expect_size=\"26843136\"] \n  22 -> 23 [size =\"26843136\"]\n  23 [size=\"138308267\", alpha=\"0.03\", expect_size=\"41492480\"] \n  23 -> 24 [size =\"41492480\"]\n  24 [size=\"95723520\", alpha=\"0.08\", expect_size=\"28717056\"] \n  24 -> 25 [size =\"28717056\"]\n  25 [size=\"123077973\", alpha=\"0.13\", expect_size=\"36923392\"] \n  25 -> 26 [size =\"36923392\"]\n  26 [size=\"34088960\", alpha=\"0.01\", expect_size=\"10226688\"] \n  26 -> 27 [size =\"10226688\"]\n  27 [size=\"135239680\", alpha=\"0.11\", expect_size=\"40571904\"] \n  27 -> 28 [size =\"40571904\"]\n  28 [size=\"21009067\", alpha=\"0.02\", expect_size=\"6302720\"] \n  28 -> 29 [size =\"6302720\"]\n  29 [size=\"134847147\", alpha=\"0.19\", expect_size=\"40454144\"] \n  29 -> 30 [size =\"40454144\"]\n  30 [size=\"58552320\", alpha=\"0.12\", expect_size=\"17565696\"] \n  30 -> 31 [size =\"17565696\"]\n  31 [size=\"162010453\", alpha=\"0.07\", expect_size=\"48603136\"] \n  31 -> 32 [size =\"48603136\"]\n  32 [size=\"29498027\", alpha=\"0.16\", expect_size=\"8849408\"] \n  32 -> 33 [size =\"8849408\"]\n  33 [size=\"121006080\", alpha=\"0.09\", expect_size=\"36301824\"] \n  33 -> 34 [size =\"36301824\"]\n  34 [size=\"147746133\", alpha=\"0.17\", expect_size=\"44323840\"] \n  34 -> 35 [size =\"44323840\"]\n  35 [size=\"52643840\", alpha=\"0.12\", expect_size=\"15793152\"] \n  35 -> 36 [size =\"15793152\"]\n  36 [size=\"155371520\", alpha=\"0.03\", expect_size=\"46611456\"] \n  36 -> 37 [size =\"46611456\"]\n  37 [size=\"164519253\", alpha=\"0.07\", expect_size=\"49355776\"] \n  37 -> 38 [size =\"49355776\"]\n  38 [size=\"95860053\", alpha=\"0.09\", expect_size=\"28758016\"] \n  38 -> 39 [size =\"28758016\"]\n  39 [size=\"111441920\", alpha=\"0.08\", expect_size=\"33432576\"] \n  39 -> 40 [size =\"33432576\"]\n  40 [size=\"99853653\", alpha=\"0.04\", expect_size=\"29956096\"] \n  40 -> 41 [size =\"29956096\"]\n  41 [size=\"33341440\", alpha=\"0.19\", expect_size=\"10002432\"] \n  41 -> 42 [size =\"10002432\"]\n  42 [size=\"87879680\", alpha=\"0.04\", expect_size=\"26363904\"] \n  42 -> 43 [size =\"26363904\"]\n  43 [size=\"57603413\", alpha=\"0.04\", expect_size=\"17281024\"] \n  43 -> 44 [size =\"17281024\"]\n  44 [size=\"130362027\", alpha=\"0.14\", expect_size=\"39108608\"] \n  44 -> 45 [size =\"39108608\"]\n  45 [size=\"109687467\", alpha=\"0.18\", expect_size=\"32906240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30115840\", alpha=\"0.07\", expect_size=\"9034752\"] \n  1 -> 33 [size =\"9034752\"]\n  1 -> 45 [size =\"9034752\"]\n  2 [size=\"149821440\", alpha=\"0.08\", expect_size=\"44946432\"] \n  2 -> 32 [size =\"44946432\"]\n  2 -> 33 [size =\"44946432\"]\n  2 -> 40 [size =\"44946432\"]\n  2 -> 42 [size =\"44946432\"]\n  3 [size=\"38748160\", alpha=\"0.06\", expect_size=\"11624448\"] \n  3 -> 33 [size =\"11624448\"]\n  3 -> 34 [size =\"11624448\"]\n  3 -> 35 [size =\"11624448\"]\n  3 -> 42 [size =\"11624448\"]\n  4 [size=\"149169493\", alpha=\"0.07\", expect_size=\"44750848\"] \n  4 -> 37 [size =\"44750848\"]\n  5 [size=\"94842880\", alpha=\"0.13\", expect_size=\"28452864\"] \n  5 -> 33 [size =\"28452864\"]\n  5 -> 43 [size =\"28452864\"]\n  5 -> 44 [size =\"28452864\"]\n  6 [size=\"33245867\", alpha=\"0.05\", expect_size=\"9973760\"] \n  6 -> 33 [size =\"9973760\"]\n  6 -> 35 [size =\"9973760\"]\n  6 -> 40 [size =\"9973760\"]\n  6 -> 44 [size =\"9973760\"]\n  7 [size=\"78609067\", alpha=\"0.09\", expect_size=\"23582720\"] \n  7 -> 33 [size =\"23582720\"]\n  7 -> 40 [size =\"23582720\"]\n  7 -> 40 [size =\"23582720\"]\n  7 -> 43 [size =\"23582720\"]\n  7 -> 44 [size =\"23582720\"]\n  8 [size=\"52220587\", alpha=\"0.10\", expect_size=\"15666176\"] \n  8 -> 32 [size =\"15666176\"]\n  8 -> 33 [size =\"15666176\"]\n  8 -> 37 [size =\"15666176\"]\n  8 -> 40 [size =\"15666176\"]\n  8 -> 43 [size =\"15666176\"]\n  8 -> 45 [size =\"15666176\"]\n  9 [size=\"67969707\", alpha=\"0.01\", expect_size=\"20390912\"] \n  9 -> 33 [size =\"20390912\"]\n  9 -> 33 [size =\"20390912\"]\n  9 -> 34 [size =\"20390912\"]\n  9 -> 37 [size =\"20390912\"]\n  9 -> 43 [size =\"20390912\"]\n  10 [size=\"135393280\", alpha=\"0.16\", expect_size=\"40617984\"] \n  10 -> 35 [size =\"40617984\"]\n  10 -> 43 [size =\"40617984\"]\n  11 [size=\"82776747\", alpha=\"0.02\", expect_size=\"24833024\"] \n  11 -> 32 [size =\"24833024\"]\n  11 -> 36 [size =\"24833024\"]\n  11 -> 40 [size =\"24833024\"]\n  11 -> 45 [size =\"24833024\"]\n  12 [size=\"137243307\", alpha=\"0.15\", expect_size=\"41172992\"] \n  12 -> 33 [size =\"41172992\"]\n  12 -> 35 [size =\"41172992\"]\n  12 -> 37 [size =\"41172992\"]\n  12 -> 40 [size =\"41172992\"]\n  12 -> 42 [size =\"41172992\"]\n  12 -> 43 [size =\"41172992\"]\n  13 [size=\"46472533\", alpha=\"0.12\", expect_size=\"13941760\"] \n  13 -> 43 [size =\"13941760\"]\n  14 [size=\"92299947\", alpha=\"0.09\", expect_size=\"27689984\"] \n  14 -> 33 [size =\"27689984\"]\n  14 -> 36 [size =\"27689984\"]\n  14 -> 40 [size =\"27689984\"]\n  14 -> 42 [size =\"27689984\"]\n  15 [size=\"150323200\", alpha=\"0.08\", expect_size=\"45096960\"] \n  15 -> 36 [size =\"45096960\"]\n  15 -> 40 [size =\"45096960\"]\n  15 -> 43 [size =\"45096960\"]\n  16 [size=\"94160213\", alpha=\"0.19\", expect_size=\"28248064\"] \n  16 -> 35 [size =\"28248064\"]\n  16 -> 37 [size =\"28248064\"]\n  16 -> 42 [size =\"28248064\"]\n  16 -> 45 [size =\"28248064\"]\n  17 [size=\"134683307\", alpha=\"0.12\", expect_size=\"40404992\"] \n  17 -> 34 [size =\"40404992\"]\n  17 -> 38 [size =\"40404992\"]\n  17 -> 39 [size =\"40404992\"]\n  17 -> 43 [size =\"40404992\"]\n  17 -> 45 [size =\"40404992\"]\n  18 [size=\"50203307\", alpha=\"0.02\", expect_size=\"15060992\"] \n  18 -> 37 [size =\"15060992\"]\n  18 -> 40 [size =\"15060992\"]\n  18 -> 41 [size =\"15060992\"]\n  19 [size=\"129795413\", alpha=\"0.16\", expect_size=\"38938624\"] \n  19 -> 32 [size =\"38938624\"]\n  19 -> 34 [size =\"38938624\"]\n  19 -> 36 [size =\"38938624\"]\n  19 -> 37 [size =\"38938624\"]\n  19 -> 40 [size =\"38938624\"]\n  19 -> 43 [size =\"38938624\"]\n  20 [size=\"135195307\", alpha=\"0.10\", expect_size=\"40558592\"] \n  21 [size=\"102085973\", alpha=\"0.05\", expect_size=\"30625792\"] \n  21 -> 36 [size =\"30625792\"]\n  21 -> 40 [size =\"30625792\"]\n  22 [size=\"114305707\", alpha=\"0.18\", expect_size=\"34291712\"] \n  22 -> 32 [size =\"34291712\"]\n  22 -> 40 [size =\"34291712\"]\n  22 -> 41 [size =\"34291712\"]\n  22 -> 43 [size =\"34291712\"]\n  22 -> 44 [size =\"34291712\"]\n  23 [size=\"77574827\", alpha=\"0.13\", expect_size=\"23272448\"] \n  23 -> 34 [size =\"23272448\"]\n  23 -> 36 [size =\"23272448\"]\n  23 -> 42 [size =\"23272448\"]\n  23 -> 43 [size =\"23272448\"]\n  23 -> 44 [size =\"23272448\"]\n  24 [size=\"174677333\", alpha=\"0.04\", expect_size=\"52403200\"] \n  24 -> 34 [size =\"52403200\"]\n  24 -> 36 [size =\"52403200\"]\n  24 -> 37 [size =\"52403200\"]\n  24 -> 43 [size =\"52403200\"]\n  24 -> 44 [size =\"52403200\"]\n  25 [size=\"85729280\", alpha=\"0.06\", expect_size=\"25718784\"] \n  25 -> 36 [size =\"25718784\"]\n  25 -> 44 [size =\"25718784\"]\n  26 [size=\"151405227\", alpha=\"0.09\", expect_size=\"45421568\"] \n  26 -> 40 [size =\"45421568\"]\n  26 -> 43 [size =\"45421568\"]\n  27 [size=\"141537280\", alpha=\"0.01\", expect_size=\"42461184\"] \n  27 -> 33 [size =\"42461184\"]\n  27 -> 34 [size =\"42461184\"]\n  27 -> 40 [size =\"42461184\"]\n  27 -> 43 [size =\"42461184\"]\n  27 -> 44 [size =\"42461184\"]\n  28 [size=\"78376960\", alpha=\"0.16\", expect_size=\"23513088\"] \n  28 -> 35 [size =\"23513088\"]\n  28 -> 40 [size =\"23513088\"]\n  28 -> 45 [size =\"23513088\"]\n  29 [size=\"92569600\", alpha=\"0.18\", expect_size=\"27770880\"] \n  29 -> 33 [size =\"27770880\"]\n  29 -> 40 [size =\"27770880\"]\n  29 -> 42 [size =\"27770880\"]\n  29 -> 43 [size =\"27770880\"]\n  29 -> 45 [size =\"27770880\"]\n  30 [size=\"61904213\", alpha=\"0.16\", expect_size=\"18571264\"] \n  30 -> 33 [size =\"18571264\"]\n  30 -> 40 [size =\"18571264\"]\n  30 -> 43 [size =\"18571264\"]\n  31 [size=\"139820373\", alpha=\"0.01\", expect_size=\"41946112\"] \n  31 -> 32 [size =\"41946112\"]\n  32 [size=\"24384853\", alpha=\"0.02\", expect_size=\"7315456\"] \n  33 [size=\"162515627\", alpha=\"0.06\", expect_size=\"48754688\"] \n  34 [size=\"103635627\", alpha=\"0.20\", expect_size=\"31090688\"] \n  35 [size=\"136714240\", alpha=\"0.11\", expect_size=\"41014272\"] \n  36 [size=\"24555520\", alpha=\"0.11\", expect_size=\"7366656\"] \n  37 [size=\"97501867\", alpha=\"0.07\", expect_size=\"29250560\"] \n  38 [size=\"102116693\", alpha=\"0.06\", expect_size=\"30635008\"] \n  39 [size=\"73140907\", alpha=\"0.00\", expect_size=\"21942272\"] \n  40 [size=\"61078187\", alpha=\"0.09\", expect_size=\"18323456\"] \n  41 [size=\"26552320\", alpha=\"0.09\", expect_size=\"7965696\"] \n  42 [size=\"34867200\", alpha=\"0.01\", expect_size=\"10460160\"] \n  43 [size=\"48506880\", alpha=\"0.00\", expect_size=\"14552064\"] \n  44 [size=\"96471040\", alpha=\"0.20\", expect_size=\"28941312\"] \n  45 [size=\"96293547\", alpha=\"0.08\", expect_size=\"28888064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98234368\", alpha=\"0.06\", expect_size=\"49117184\"] \n  1 -> 23 [size =\"49117184\"]\n  1 -> 24 [size =\"49117184\"]\n  1 -> 26 [size =\"49117184\"]\n  1 -> 27 [size =\"49117184\"]\n  1 -> 28 [size =\"49117184\"]\n  1 -> 31 [size =\"49117184\"]\n  1 -> 33 [size =\"49117184\"]\n  1 -> 35 [size =\"49117184\"]\n  1 -> 37 [size =\"49117184\"]\n  1 -> 40 [size =\"49117184\"]\n  2 [size=\"96602112\", alpha=\"0.05\", expect_size=\"48301056\"] \n  2 -> 21 [size =\"48301056\"]\n  2 -> 22 [size =\"48301056\"]\n  2 -> 23 [size =\"48301056\"]\n  2 -> 24 [size =\"48301056\"]\n  2 -> 26 [size =\"48301056\"]\n  2 -> 27 [size =\"48301056\"]\n  2 -> 28 [size =\"48301056\"]\n  2 -> 29 [size =\"48301056\"]\n  2 -> 31 [size =\"48301056\"]\n  2 -> 36 [size =\"48301056\"]\n  2 -> 37 [size =\"48301056\"]\n  2 -> 40 [size =\"48301056\"]\n  3 [size=\"12593152\", alpha=\"0.03\", expect_size=\"6296576\"] \n  3 -> 21 [size =\"6296576\"]\n  3 -> 23 [size =\"6296576\"]\n  3 -> 24 [size =\"6296576\"]\n  3 -> 24 [size =\"6296576\"]\n  3 -> 25 [size =\"6296576\"]\n  3 -> 26 [size =\"6296576\"]\n  3 -> 27 [size =\"6296576\"]\n  3 -> 28 [size =\"6296576\"]\n  3 -> 31 [size =\"6296576\"]\n  3 -> 32 [size =\"6296576\"]\n  3 -> 36 [size =\"6296576\"]\n  3 -> 37 [size =\"6296576\"]\n  3 -> 38 [size =\"6296576\"]\n  3 -> 39 [size =\"6296576\"]\n  4 [size=\"69216256\", alpha=\"0.20\", expect_size=\"34608128\"] \n  4 -> 21 [size =\"34608128\"]\n  4 -> 24 [size =\"34608128\"]\n  4 -> 25 [size =\"34608128\"]\n  4 -> 26 [size =\"34608128\"]\n  4 -> 27 [size =\"34608128\"]\n  4 -> 28 [size =\"34608128\"]\n  4 -> 31 [size =\"34608128\"]\n  4 -> 36 [size =\"34608128\"]\n  4 -> 37 [size =\"34608128\"]\n  4 -> 38 [size =\"34608128\"]\n  4 -> 39 [size =\"34608128\"]\n  4 -> 40 [size =\"34608128\"]\n  5 [size=\"95932416\", alpha=\"0.03\", expect_size=\"47966208\"] \n  5 -> 21 [size =\"47966208\"]\n  5 -> 24 [size =\"47966208\"]\n  5 -> 25 [size =\"47966208\"]\n  5 -> 26 [size =\"47966208\"]\n  5 -> 27 [size =\"47966208\"]\n  5 -> 36 [size =\"47966208\"]\n  5 -> 40 [size =\"47966208\"]\n  6 [size=\"49170432\", alpha=\"0.01\", expect_size=\"24585216\"] \n  6 -> 21 [size =\"24585216\"]\n  6 -> 23 [size =\"24585216\"]\n  6 -> 24 [size =\"24585216\"]\n  6 -> 26 [size =\"24585216\"]\n  6 -> 28 [size =\"24585216\"]\n  6 -> 29 [size =\"24585216\"]\n  6 -> 31 [size =\"24585216\"]\n  6 -> 36 [size =\"24585216\"]\n  6 -> 37 [size =\"24585216\"]\n  6 -> 39 [size =\"24585216\"]\n  6 -> 40 [size =\"24585216\"]\n  7 [size=\"83542016\", alpha=\"0.09\", expect_size=\"41771008\"] \n  7 -> 21 [size =\"41771008\"]\n  7 -> 24 [size =\"41771008\"]\n  7 -> 26 [size =\"41771008\"]\n  7 -> 28 [size =\"41771008\"]\n  7 -> 29 [size =\"41771008\"]\n  7 -> 31 [size =\"41771008\"]\n  7 -> 32 [size =\"41771008\"]\n  7 -> 36 [size =\"41771008\"]\n  7 -> 39 [size =\"41771008\"]\n  8 [size=\"53544960\", alpha=\"0.15\", expect_size=\"26772480\"] \n  8 -> 21 [size =\"26772480\"]\n  8 -> 22 [size =\"26772480\"]\n  8 -> 23 [size =\"26772480\"]\n  8 -> 24 [size =\"26772480\"]\n  8 -> 28 [size =\"26772480\"]\n  8 -> 29 [size =\"26772480\"]\n  8 -> 32 [size =\"26772480\"]\n  8 -> 37 [size =\"26772480\"]\n  8 -> 38 [size =\"26772480\"]\n  8 -> 40 [size =\"26772480\"]\n  9 [size=\"21047296\", alpha=\"0.08\", expect_size=\"10523648\"] \n  9 -> 21 [size =\"10523648\"]\n  9 -> 22 [size =\"10523648\"]\n  9 -> 26 [size =\"10523648\"]\n  9 -> 27 [size =\"10523648\"]\n  9 -> 30 [size =\"10523648\"]\n  9 -> 31 [size =\"10523648\"]\n  9 -> 32 [size =\"10523648\"]\n  9 -> 36 [size =\"10523648\"]\n  9 -> 40 [size =\"10523648\"]\n  10 [size=\"98193408\", alpha=\"0.07\", expect_size=\"49096704\"] \n  10 -> 26 [size =\"49096704\"]\n  10 -> 28 [size =\"49096704\"]\n  10 -> 32 [size =\"49096704\"]\n  10 -> 33 [size =\"49096704\"]\n  11 [size=\"21422080\", alpha=\"0.02\", expect_size=\"10711040\"] \n  11 -> 21 [size =\"10711040\"]\n  11 -> 23 [size =\"10711040\"]\n  11 -> 24 [size =\"10711040\"]\n  11 -> 26 [size =\"10711040\"]\n  11 -> 27 [size =\"10711040\"]\n  11 -> 30 [size =\"10711040\"]\n  11 -> 32 [size =\"10711040\"]\n  11 -> 36 [size =\"10711040\"]\n  11 -> 38 [size =\"10711040\"]\n  11 -> 40 [size =\"10711040\"]\n  12 [size=\"48224256\", alpha=\"0.02\", expect_size=\"24112128\"] \n  12 -> 25 [size =\"24112128\"]\n  12 -> 26 [size =\"24112128\"]\n  12 -> 28 [size =\"24112128\"]\n  12 -> 32 [size =\"24112128\"]\n  12 -> 39 [size =\"24112128\"]\n  12 -> 40 [size =\"24112128\"]\n  13 [size=\"71548928\", alpha=\"0.18\", expect_size=\"35774464\"] \n  13 -> 23 [size =\"35774464\"]\n  13 -> 24 [size =\"35774464\"]\n  13 -> 25 [size =\"35774464\"]\n  13 -> 26 [size =\"35774464\"]\n  13 -> 33 [size =\"35774464\"]\n  13 -> 36 [size =\"35774464\"]\n  13 -> 37 [size =\"35774464\"]\n  13 -> 38 [size =\"35774464\"]\n  13 -> 39 [size =\"35774464\"]\n  14 [size=\"86839296\", alpha=\"0.18\", expect_size=\"43419648\"] \n  14 -> 21 [size =\"43419648\"]\n  14 -> 23 [size =\"43419648\"]\n  14 -> 24 [size =\"43419648\"]\n  14 -> 27 [size =\"43419648\"]\n  14 -> 28 [size =\"43419648\"]\n  14 -> 30 [size =\"43419648\"]\n  14 -> 33 [size =\"43419648\"]\n  14 -> 36 [size =\"43419648\"]\n  14 -> 37 [size =\"43419648\"]\n  14 -> 38 [size =\"43419648\"]\n  14 -> 39 [size =\"43419648\"]\n  15 [size=\"84578304\", alpha=\"0.18\", expect_size=\"42289152\"] \n  15 -> 28 [size =\"42289152\"]\n  15 -> 29 [size =\"42289152\"]\n  15 -> 32 [size =\"42289152\"]\n  15 -> 33 [size =\"42289152\"]\n  15 -> 34 [size =\"42289152\"]\n  15 -> 36 [size =\"42289152\"]\n  15 -> 37 [size =\"42289152\"]\n  15 -> 38 [size =\"42289152\"]\n  16 [size=\"96823296\", alpha=\"0.09\", expect_size=\"48411648\"] \n  16 -> 25 [size =\"48411648\"]\n  16 -> 26 [size =\"48411648\"]\n  16 -> 28 [size =\"48411648\"]\n  16 -> 29 [size =\"48411648\"]\n  16 -> 32 [size =\"48411648\"]\n  16 -> 36 [size =\"48411648\"]\n  16 -> 40 [size =\"48411648\"]\n  17 [size=\"100061184\", alpha=\"0.07\", expect_size=\"50030592\"] \n  17 -> 21 [size =\"50030592\"]\n  17 -> 23 [size =\"50030592\"]\n  17 -> 24 [size =\"50030592\"]\n  17 -> 25 [size =\"50030592\"]\n  17 -> 26 [size =\"50030592\"]\n  17 -> 28 [size =\"50030592\"]\n  17 -> 36 [size =\"50030592\"]\n  17 -> 38 [size =\"50030592\"]\n  18 [size=\"49477632\", alpha=\"0.06\", expect_size=\"24738816\"] \n  18 -> 23 [size =\"24738816\"]\n  18 -> 23 [size =\"24738816\"]\n  18 -> 24 [size =\"24738816\"]\n  18 -> 26 [size =\"24738816\"]\n  18 -> 31 [size =\"24738816\"]\n  18 -> 36 [size =\"24738816\"]\n  18 -> 38 [size =\"24738816\"]\n  18 -> 39 [size =\"24738816\"]\n  19 [size=\"25069568\", alpha=\"0.11\", expect_size=\"12534784\"] \n  19 -> 24 [size =\"12534784\"]\n  19 -> 27 [size =\"12534784\"]\n  19 -> 29 [size =\"12534784\"]\n  19 -> 30 [size =\"12534784\"]\n  19 -> 36 [size =\"12534784\"]\n  19 -> 38 [size =\"12534784\"]\n  19 -> 38 [size =\"12534784\"]\n  20 [size=\"60751872\", alpha=\"0.15\", expect_size=\"30375936\"] \n  20 -> 24 [size =\"30375936\"]\n  20 -> 25 [size =\"30375936\"]\n  20 -> 26 [size =\"30375936\"]\n  20 -> 27 [size =\"30375936\"]\n  20 -> 28 [size =\"30375936\"]\n  20 -> 30 [size =\"30375936\"]\n  20 -> 31 [size =\"30375936\"]\n  20 -> 33 [size =\"30375936\"]\n  20 -> 37 [size =\"30375936\"]\n  20 -> 38 [size =\"30375936\"]\n  21 [size=\"95641600\", alpha=\"0.17\", expect_size=\"47820800\"] \n  21 -> 42 [size =\"47820800\"]\n  21 -> 43 [size =\"47820800\"]\n  21 -> 45 [size =\"47820800\"]\n  21 -> 45 [size =\"47820800\"]\n  22 [size=\"103571456\", alpha=\"0.18\", expect_size=\"51785728\"] \n  22 -> 41 [size =\"51785728\"]\n  22 -> 42 [size =\"51785728\"]\n  22 -> 43 [size =\"51785728\"]\n  23 [size=\"18356224\", alpha=\"0.19\", expect_size=\"9178112\"] \n  23 -> 41 [size =\"9178112\"]\n  24 [size=\"104001536\", alpha=\"0.13\", expect_size=\"52000768\"] \n  24 -> 41 [size =\"52000768\"]\n  24 -> 43 [size =\"52000768\"]\n  25 [size=\"92710912\", alpha=\"0.04\", expect_size=\"46355456\"] \n  25 -> 44 [size =\"46355456\"]\n  25 -> 45 [size =\"46355456\"]\n  26 [size=\"82067456\", alpha=\"0.04\", expect_size=\"41033728\"] \n  26 -> 42 [size =\"41033728\"]\n  26 -> 43 [size =\"41033728\"]\n  26 -> 45 [size =\"41033728\"]\n  27 [size=\"32012288\", alpha=\"0.20\", expect_size=\"16006144\"] \n  27 -> 42 [size =\"16006144\"]\n  27 -> 45 [size =\"16006144\"]\n  27 -> 45 [size =\"16006144\"]\n  28 [size=\"64077824\", alpha=\"0.04\", expect_size=\"32038912\"] \n  28 -> 42 [size =\"32038912\"]\n  28 -> 43 [size =\"32038912\"]\n  28 -> 45 [size =\"32038912\"]\n  29 [size=\"93032448\", alpha=\"0.11\", expect_size=\"46516224\"] \n  29 -> 42 [size =\"46516224\"]\n  30 [size=\"48627712\", alpha=\"0.17\", expect_size=\"24313856\"] \n  30 -> 42 [size =\"24313856\"]\n  30 -> 43 [size =\"24313856\"]\n  30 -> 45 [size =\"24313856\"]\n  31 [size=\"22689792\", alpha=\"0.04\", expect_size=\"11344896\"] \n  31 -> 42 [size =\"11344896\"]\n  31 -> 43 [size =\"11344896\"]\n  32 [size=\"102969344\", alpha=\"0.00\", expect_size=\"51484672\"] \n  32 -> 42 [size =\"51484672\"]\n  32 -> 43 [size =\"51484672\"]\n  32 -> 45 [size =\"51484672\"]\n  33 [size=\"92467200\", alpha=\"0.09\", expect_size=\"46233600\"] \n  33 -> 42 [size =\"46233600\"]\n  33 -> 43 [size =\"46233600\"]\n  33 -> 45 [size =\"46233600\"]\n  34 [size=\"87666688\", alpha=\"0.14\", expect_size=\"43833344\"] \n  34 -> 43 [size =\"43833344\"]\n  34 -> 45 [size =\"43833344\"]\n  35 [size=\"52922368\", alpha=\"0.14\", expect_size=\"26461184\"] \n  35 -> 41 [size =\"26461184\"]\n  35 -> 42 [size =\"26461184\"]\n  35 -> 43 [size =\"26461184\"]\n  36 [size=\"73687040\", alpha=\"0.13\", expect_size=\"36843520\"] \n  36 -> 41 [size =\"36843520\"]\n  37 [size=\"94273536\", alpha=\"0.11\", expect_size=\"47136768\"] \n  37 -> 41 [size =\"47136768\"]\n  37 -> 44 [size =\"47136768\"]\n  37 -> 45 [size =\"47136768\"]\n  38 [size=\"93368320\", alpha=\"0.17\", expect_size=\"46684160\"] \n  38 -> 41 [size =\"46684160\"]\n  38 -> 45 [size =\"46684160\"]\n  38 -> 45 [size =\"46684160\"]\n  39 [size=\"19658752\", alpha=\"0.06\", expect_size=\"9829376\"] \n  39 -> 41 [size =\"9829376\"]\n  39 -> 42 [size =\"9829376\"]\n  39 -> 45 [size =\"9829376\"]\n  40 [size=\"72450048\", alpha=\"0.06\", expect_size=\"36225024\"] \n  40 -> 41 [size =\"36225024\"]\n  40 -> 42 [size =\"36225024\"]\n  40 -> 43 [size =\"36225024\"]\n  40 -> 45 [size =\"36225024\"]\n  41 [size=\"56336384\", alpha=\"0.04\", expect_size=\"28168192\"] \n  42 [size=\"76625920\", alpha=\"0.01\", expect_size=\"38312960\"] \n  43 [size=\"76687360\", alpha=\"0.01\", expect_size=\"38343680\"] \n  44 [size=\"23212032\", alpha=\"0.20\", expect_size=\"11606016\"] \n  45 [size=\"86925312\", alpha=\"0.16\", expect_size=\"43462656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160262827\", alpha=\"0.18\", expect_size=\"48078848\"] \n  1 -> 5 [size =\"48078848\"]\n  2 [size=\"61054293\", alpha=\"0.08\", expect_size=\"18316288\"] \n  2 -> 4 [size =\"18316288\"]\n  2 -> 5 [size =\"18316288\"]\n  3 [size=\"84520960\", alpha=\"0.00\", expect_size=\"25356288\"] \n  4 [size=\"160208213\", alpha=\"0.13\", expect_size=\"48062464\"] \n  4 -> 7 [size =\"48062464\"]\n  4 -> 8 [size =\"48062464\"]\n  5 [size=\"111233707\", alpha=\"0.09\", expect_size=\"33370112\"] \n  5 -> 6 [size =\"33370112\"]\n  5 -> 8 [size =\"33370112\"]\n  6 [size=\"122026667\", alpha=\"0.14\", expect_size=\"36608000\"] \n  7 [size=\"142929920\", alpha=\"0.11\", expect_size=\"42878976\"] \n  7 -> 10 [size =\"42878976\"]\n  8 [size=\"172782933\", alpha=\"0.01\", expect_size=\"51834880\"] \n  8 -> 9 [size =\"51834880\"]\n  9 [size=\"160651947\", alpha=\"0.20\", expect_size=\"48195584\"] \n  10 [size=\"54094507\", alpha=\"0.13\", expect_size=\"16228352\"] \n  10 -> 11 [size =\"16228352\"]\n  10 -> 12 [size =\"16228352\"]\n  11 [size=\"21732693\", alpha=\"0.17\", expect_size=\"6519808\"] \n  11 -> 13 [size =\"6519808\"]\n  11 -> 14 [size =\"6519808\"]\n  12 [size=\"160252587\", alpha=\"0.01\", expect_size=\"48075776\"] \n  12 -> 13 [size =\"48075776\"]\n  13 [size=\"68075520\", alpha=\"0.15\", expect_size=\"20422656\"] \n  13 -> 15 [size =\"20422656\"]\n  14 [size=\"68410027\", alpha=\"0.15\", expect_size=\"20523008\"] \n  14 -> 15 [size =\"20523008\"]\n  14 -> 16 [size =\"20523008\"]\n  15 [size=\"172475733\", alpha=\"0.02\", expect_size=\"51742720\"] \n  15 -> 17 [size =\"51742720\"]\n  16 [size=\"86736213\", alpha=\"0.10\", expect_size=\"26020864\"] \n  16 -> 17 [size =\"26020864\"]\n  16 -> 18 [size =\"26020864\"]\n  17 [size=\"36799147\", alpha=\"0.01\", expect_size=\"11039744\"] \n  17 -> 19 [size =\"11039744\"]\n  17 -> 20 [size =\"11039744\"]\n  17 -> 21 [size =\"11039744\"]\n  18 [size=\"122262187\", alpha=\"0.18\", expect_size=\"36678656\"] \n  18 -> 19 [size =\"36678656\"]\n  18 -> 21 [size =\"36678656\"]\n  19 [size=\"127406080\", alpha=\"0.17\", expect_size=\"38221824\"] \n  19 -> 23 [size =\"38221824\"]\n  20 [size=\"126863360\", alpha=\"0.03\", expect_size=\"38059008\"] \n  20 -> 22 [size =\"38059008\"]\n  21 [size=\"73478827\", alpha=\"0.07\", expect_size=\"22043648\"] \n  21 -> 22 [size =\"22043648\"]\n  21 -> 23 [size =\"22043648\"]\n  22 [size=\"49370453\", alpha=\"0.17\", expect_size=\"14811136\"] \n  22 -> 24 [size =\"14811136\"]\n  23 [size=\"59071147\", alpha=\"0.16\", expect_size=\"17721344\"] \n  23 -> 24 [size =\"17721344\"]\n  23 -> 25 [size =\"17721344\"]\n  24 [size=\"174356480\", alpha=\"0.12\", expect_size=\"52306944\"] \n  24 -> 26 [size =\"52306944\"]\n  25 [size=\"135208960\", alpha=\"0.01\", expect_size=\"40562688\"] \n  25 -> 26 [size =\"40562688\"]\n  25 -> 27 [size =\"40562688\"]\n  26 [size=\"149213867\", alpha=\"0.03\", expect_size=\"44764160\"] \n  26 -> 28 [size =\"44764160\"]\n  26 -> 29 [size =\"44764160\"]\n  26 -> 30 [size =\"44764160\"]\n  27 [size=\"72386560\", alpha=\"0.00\", expect_size=\"21715968\"] \n  27 -> 29 [size =\"21715968\"]\n  28 [size=\"78581760\", alpha=\"0.18\", expect_size=\"23574528\"] \n  28 -> 31 [size =\"23574528\"]\n  29 [size=\"62682453\", alpha=\"0.13\", expect_size=\"18804736\"] \n  29 -> 31 [size =\"18804736\"]\n  29 -> 32 [size =\"18804736\"]\n  30 [size=\"37051733\", alpha=\"0.14\", expect_size=\"11115520\"] \n  31 [size=\"60214613\", alpha=\"0.15\", expect_size=\"18064384\"] \n  31 -> 34 [size =\"18064384\"]\n  31 -> 35 [size =\"18064384\"]\n  32 [size=\"117674667\", alpha=\"0.14\", expect_size=\"35302400\"] \n  32 -> 33 [size =\"35302400\"]\n  32 -> 35 [size =\"35302400\"]\n  33 [size=\"95720107\", alpha=\"0.19\", expect_size=\"28716032\"] \n  33 -> 36 [size =\"28716032\"]\n  34 [size=\"61399040\", alpha=\"0.11\", expect_size=\"18419712\"] \n  34 -> 37 [size =\"18419712\"]\n  35 [size=\"157446827\", alpha=\"0.03\", expect_size=\"47234048\"] \n  35 -> 36 [size =\"47234048\"]\n  35 -> 37 [size =\"47234048\"]\n  36 [size=\"163048107\", alpha=\"0.03\", expect_size=\"48914432\"] \n  36 -> 38 [size =\"48914432\"]\n  36 -> 39 [size =\"48914432\"]\n  37 [size=\"25470293\", alpha=\"0.06\", expect_size=\"7641088\"] \n  37 -> 38 [size =\"7641088\"]\n  38 [size=\"27456853\", alpha=\"0.03\", expect_size=\"8237056\"] \n  38 -> 40 [size =\"8237056\"]\n  38 -> 41 [size =\"8237056\"]\n  38 -> 42 [size =\"8237056\"]\n  39 [size=\"167031467\", alpha=\"0.13\", expect_size=\"50109440\"] \n  39 -> 41 [size =\"50109440\"]\n  39 -> 42 [size =\"50109440\"]\n  40 [size=\"115514027\", alpha=\"0.17\", expect_size=\"34654208\"] \n  40 -> 43 [size =\"34654208\"]\n  40 -> 44 [size =\"34654208\"]\n  41 [size=\"66809173\", alpha=\"0.08\", expect_size=\"20042752\"] \n  42 [size=\"25173333\", alpha=\"0.04\", expect_size=\"7552000\"] \n  42 -> 44 [size =\"7552000\"]\n  42 -> 45 [size =\"7552000\"]\n  43 [size=\"133382827\", alpha=\"0.04\", expect_size=\"40014848\"] \n  44 [size=\"127467520\", alpha=\"0.05\", expect_size=\"38240256\"] \n  45 [size=\"58364587\", alpha=\"0.00\", expect_size=\"17509376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71770112\", alpha=\"0.14\", expect_size=\"35885056\"] \n  1 -> 16 [size =\"35885056\"]\n  1 -> 17 [size =\"35885056\"]\n  1 -> 18 [size =\"35885056\"]\n  1 -> 20 [size =\"35885056\"]\n  1 -> 22 [size =\"35885056\"]\n  1 -> 23 [size =\"35885056\"]\n  2 [size=\"39444480\", alpha=\"0.17\", expect_size=\"19722240\"] \n  2 -> 17 [size =\"19722240\"]\n  2 -> 21 [size =\"19722240\"]\n  2 -> 23 [size =\"19722240\"]\n  3 [size=\"31979520\", alpha=\"0.20\", expect_size=\"15989760\"] \n  3 -> 14 [size =\"15989760\"]\n  3 -> 17 [size =\"15989760\"]\n  3 -> 18 [size =\"15989760\"]\n  3 -> 21 [size =\"15989760\"]\n  3 -> 22 [size =\"15989760\"]\n  3 -> 24 [size =\"15989760\"]\n  4 [size=\"68587520\", alpha=\"0.18\", expect_size=\"34293760\"] \n  4 -> 15 [size =\"34293760\"]\n  4 -> 16 [size =\"34293760\"]\n  4 -> 17 [size =\"34293760\"]\n  4 -> 18 [size =\"34293760\"]\n  4 -> 21 [size =\"34293760\"]\n  4 -> 22 [size =\"34293760\"]\n  5 [size=\"83306496\", alpha=\"0.08\", expect_size=\"41653248\"] \n  5 -> 13 [size =\"41653248\"]\n  5 -> 16 [size =\"41653248\"]\n  5 -> 19 [size =\"41653248\"]\n  5 -> 22 [size =\"41653248\"]\n  5 -> 23 [size =\"41653248\"]\n  5 -> 24 [size =\"41653248\"]\n  6 [size=\"61448192\", alpha=\"0.15\", expect_size=\"30724096\"] \n  6 -> 13 [size =\"30724096\"]\n  6 -> 19 [size =\"30724096\"]\n  6 -> 21 [size =\"30724096\"]\n  7 [size=\"63125504\", alpha=\"0.07\", expect_size=\"31562752\"] \n  7 -> 13 [size =\"31562752\"]\n  7 -> 14 [size =\"31562752\"]\n  7 -> 17 [size =\"31562752\"]\n  7 -> 18 [size =\"31562752\"]\n  7 -> 19 [size =\"31562752\"]\n  7 -> 20 [size =\"31562752\"]\n  8 [size=\"83847168\", alpha=\"0.00\", expect_size=\"41923584\"] \n  8 -> 13 [size =\"41923584\"]\n  8 -> 14 [size =\"41923584\"]\n  8 -> 21 [size =\"41923584\"]\n  9 [size=\"42690560\", alpha=\"0.20\", expect_size=\"21345280\"] \n  9 -> 13 [size =\"21345280\"]\n  9 -> 14 [size =\"21345280\"]\n  9 -> 17 [size =\"21345280\"]\n  9 -> 22 [size =\"21345280\"]\n  9 -> 23 [size =\"21345280\"]\n  9 -> 24 [size =\"21345280\"]\n  9 -> 25 [size =\"21345280\"]\n  10 [size=\"73089024\", alpha=\"0.18\", expect_size=\"36544512\"] \n  10 -> 13 [size =\"36544512\"]\n  10 -> 14 [size =\"36544512\"]\n  10 -> 15 [size =\"36544512\"]\n  10 -> 16 [size =\"36544512\"]\n  10 -> 23 [size =\"36544512\"]\n  11 [size=\"57829376\", alpha=\"0.03\", expect_size=\"28914688\"] \n  11 -> 14 [size =\"28914688\"]\n  11 -> 14 [size =\"28914688\"]\n  11 -> 21 [size =\"28914688\"]\n  11 -> 23 [size =\"28914688\"]\n  11 -> 25 [size =\"28914688\"]\n  12 [size=\"31145984\", alpha=\"0.04\", expect_size=\"15572992\"] \n  12 -> 16 [size =\"15572992\"]\n  12 -> 17 [size =\"15572992\"]\n  12 -> 18 [size =\"15572992\"]\n  12 -> 19 [size =\"15572992\"]\n  12 -> 21 [size =\"15572992\"]\n  12 -> 23 [size =\"15572992\"]\n  12 -> 25 [size =\"15572992\"]\n  13 [size=\"18970624\", alpha=\"0.05\", expect_size=\"9485312\"] \n  13 -> 32 [size =\"9485312\"]\n  13 -> 33 [size =\"9485312\"]\n  13 -> 37 [size =\"9485312\"]\n  13 -> 42 [size =\"9485312\"]\n  14 [size=\"18806784\", alpha=\"0.14\", expect_size=\"9403392\"] \n  14 -> 27 [size =\"9403392\"]\n  14 -> 30 [size =\"9403392\"]\n  14 -> 32 [size =\"9403392\"]\n  14 -> 35 [size =\"9403392\"]\n  14 -> 37 [size =\"9403392\"]\n  14 -> 38 [size =\"9403392\"]\n  15 [size=\"11225088\", alpha=\"0.16\", expect_size=\"5612544\"] \n  15 -> 27 [size =\"5612544\"]\n  15 -> 29 [size =\"5612544\"]\n  15 -> 31 [size =\"5612544\"]\n  15 -> 32 [size =\"5612544\"]\n  15 -> 35 [size =\"5612544\"]\n  15 -> 37 [size =\"5612544\"]\n  15 -> 40 [size =\"5612544\"]\n  15 -> 42 [size =\"5612544\"]\n  16 [size=\"50548736\", alpha=\"0.02\", expect_size=\"25274368\"] \n  16 -> 26 [size =\"25274368\"]\n  16 -> 27 [size =\"25274368\"]\n  16 -> 29 [size =\"25274368\"]\n  16 -> 31 [size =\"25274368\"]\n  16 -> 32 [size =\"25274368\"]\n  16 -> 33 [size =\"25274368\"]\n  16 -> 35 [size =\"25274368\"]\n  16 -> 42 [size =\"25274368\"]\n  17 [size=\"28669952\", alpha=\"0.00\", expect_size=\"14334976\"] \n  17 -> 29 [size =\"14334976\"]\n  17 -> 33 [size =\"14334976\"]\n  17 -> 35 [size =\"14334976\"]\n  17 -> 42 [size =\"14334976\"]\n  18 [size=\"60817408\", alpha=\"0.14\", expect_size=\"30408704\"] \n  18 -> 26 [size =\"30408704\"]\n  18 -> 27 [size =\"30408704\"]\n  18 -> 29 [size =\"30408704\"]\n  18 -> 32 [size =\"30408704\"]\n  18 -> 33 [size =\"30408704\"]\n  18 -> 35 [size =\"30408704\"]\n  18 -> 39 [size =\"30408704\"]\n  18 -> 40 [size =\"30408704\"]\n  18 -> 42 [size =\"30408704\"]\n  19 [size=\"61702144\", alpha=\"0.16\", expect_size=\"30851072\"] \n  19 -> 29 [size =\"30851072\"]\n  19 -> 31 [size =\"30851072\"]\n  19 -> 32 [size =\"30851072\"]\n  19 -> 33 [size =\"30851072\"]\n  19 -> 33 [size =\"30851072\"]\n  19 -> 35 [size =\"30851072\"]\n  19 -> 38 [size =\"30851072\"]\n  19 -> 39 [size =\"30851072\"]\n  19 -> 42 [size =\"30851072\"]\n  20 [size=\"60579840\", alpha=\"0.08\", expect_size=\"30289920\"] \n  20 -> 31 [size =\"30289920\"]\n  20 -> 33 [size =\"30289920\"]\n  20 -> 35 [size =\"30289920\"]\n  20 -> 36 [size =\"30289920\"]\n  20 -> 37 [size =\"30289920\"]\n  20 -> 42 [size =\"30289920\"]\n  21 [size=\"52391936\", alpha=\"0.12\", expect_size=\"26195968\"] \n  21 -> 26 [size =\"26195968\"]\n  21 -> 28 [size =\"26195968\"]\n  21 -> 31 [size =\"26195968\"]\n  21 -> 35 [size =\"26195968\"]\n  21 -> 37 [size =\"26195968\"]\n  21 -> 38 [size =\"26195968\"]\n  21 -> 39 [size =\"26195968\"]\n  21 -> 42 [size =\"26195968\"]\n  22 [size=\"65169408\", alpha=\"0.02\", expect_size=\"32584704\"] \n  22 -> 26 [size =\"32584704\"]\n  22 -> 27 [size =\"32584704\"]\n  22 -> 28 [size =\"32584704\"]\n  22 -> 30 [size =\"32584704\"]\n  22 -> 32 [size =\"32584704\"]\n  22 -> 33 [size =\"32584704\"]\n  22 -> 37 [size =\"32584704\"]\n  22 -> 38 [size =\"32584704\"]\n  22 -> 41 [size =\"32584704\"]\n  22 -> 42 [size =\"32584704\"]\n  23 [size=\"82272256\", alpha=\"0.17\", expect_size=\"41136128\"] \n  23 -> 27 [size =\"41136128\"]\n  23 -> 28 [size =\"41136128\"]\n  23 -> 31 [size =\"41136128\"]\n  23 -> 34 [size =\"41136128\"]\n  23 -> 35 [size =\"41136128\"]\n  23 -> 37 [size =\"41136128\"]\n  23 -> 37 [size =\"41136128\"]\n  23 -> 38 [size =\"41136128\"]\n  23 -> 39 [size =\"41136128\"]\n  23 -> 41 [size =\"41136128\"]\n  24 [size=\"11479040\", alpha=\"0.05\", expect_size=\"5739520\"] \n  24 -> 31 [size =\"5739520\"]\n  24 -> 32 [size =\"5739520\"]\n  24 -> 38 [size =\"5739520\"]\n  25 [size=\"78051328\", alpha=\"0.07\", expect_size=\"39025664\"] \n  25 -> 32 [size =\"39025664\"]\n  25 -> 39 [size =\"39025664\"]\n  26 [size=\"57806848\", alpha=\"0.01\", expect_size=\"28903424\"] \n  26 -> 43 [size =\"28903424\"]\n  27 [size=\"67420160\", alpha=\"0.05\", expect_size=\"33710080\"] \n  27 -> 44 [size =\"33710080\"]\n  28 [size=\"67463168\", alpha=\"0.06\", expect_size=\"33731584\"] \n  28 -> 43 [size =\"33731584\"]\n  28 -> 44 [size =\"33731584\"]\n  29 [size=\"37976064\", alpha=\"0.13\", expect_size=\"18988032\"] \n  29 -> 43 [size =\"18988032\"]\n  29 -> 44 [size =\"18988032\"]\n  29 -> 45 [size =\"18988032\"]\n  30 [size=\"21368832\", alpha=\"0.13\", expect_size=\"10684416\"] \n  30 -> 44 [size =\"10684416\"]\n  30 -> 44 [size =\"10684416\"]\n  31 [size=\"57905152\", alpha=\"0.03\", expect_size=\"28952576\"] \n  31 -> 45 [size =\"28952576\"]\n  32 [size=\"20129792\", alpha=\"0.18\", expect_size=\"10064896\"] \n  32 -> 44 [size =\"10064896\"]\n  33 [size=\"31373312\", alpha=\"0.14\", expect_size=\"15686656\"] \n  33 -> 44 [size =\"15686656\"]\n  34 [size=\"18759680\", alpha=\"0.13\", expect_size=\"9379840\"] \n  34 -> 43 [size =\"9379840\"]\n  34 -> 44 [size =\"9379840\"]\n  35 [size=\"40388608\", alpha=\"0.11\", expect_size=\"20194304\"] \n  35 -> 43 [size =\"20194304\"]\n  35 -> 44 [size =\"20194304\"]\n  36 [size=\"74711040\", alpha=\"0.18\", expect_size=\"37355520\"] \n  36 -> 43 [size =\"37355520\"]\n  36 -> 44 [size =\"37355520\"]\n  37 [size=\"78321664\", alpha=\"0.09\", expect_size=\"39160832\"] \n  37 -> 43 [size =\"39160832\"]\n  38 [size=\"103856128\", alpha=\"0.10\", expect_size=\"51928064\"] \n  38 -> 45 [size =\"51928064\"]\n  39 [size=\"35938304\", alpha=\"0.02\", expect_size=\"17969152\"] \n  39 -> 44 [size =\"17969152\"]\n  39 -> 45 [size =\"17969152\"]\n  40 [size=\"95514624\", alpha=\"0.05\", expect_size=\"47757312\"] \n  40 -> 45 [size =\"47757312\"]\n  41 [size=\"62072832\", alpha=\"0.17\", expect_size=\"31036416\"] \n  42 [size=\"77332480\", alpha=\"0.01\", expect_size=\"38666240\"] \n  42 -> 44 [size =\"38666240\"]\n  42 -> 45 [size =\"38666240\"]\n  43 [size=\"67579904\", alpha=\"0.19\", expect_size=\"33789952\"] \n  44 [size=\"41302016\", alpha=\"0.18\", expect_size=\"20651008\"] \n  45 [size=\"101193728\", alpha=\"0.11\", expect_size=\"50596864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55918080\", alpha=\"0.06\", expect_size=\"22367232\"] \n  1 -> 9 [size =\"22367232\"]\n  2 [size=\"40232960\", alpha=\"0.09\", expect_size=\"16093184\"] \n  2 -> 6 [size =\"16093184\"]\n  2 -> 7 [size =\"16093184\"]\n  2 -> 9 [size =\"16093184\"]\n  3 [size=\"42240000\", alpha=\"0.04\", expect_size=\"16896000\"] \n  4 [size=\"94120960\", alpha=\"0.17\", expect_size=\"37648384\"] \n  5 [size=\"130621440\", alpha=\"0.19\", expect_size=\"52248576\"] \n  5 -> 6 [size =\"52248576\"]\n  5 -> 7 [size =\"52248576\"]\n  5 -> 8 [size =\"52248576\"]\n  6 [size=\"58073600\", alpha=\"0.02\", expect_size=\"23229440\"] \n  6 -> 10 [size =\"23229440\"]\n  6 -> 11 [size =\"23229440\"]\n  6 -> 13 [size =\"23229440\"]\n  6 -> 16 [size =\"23229440\"]\n  7 [size=\"60549120\", alpha=\"0.03\", expect_size=\"24219648\"] \n  7 -> 12 [size =\"24219648\"]\n  8 [size=\"119723520\", alpha=\"0.06\", expect_size=\"47889408\"] \n  8 -> 14 [size =\"47889408\"]\n  8 -> 15 [size =\"47889408\"]\n  8 -> 16 [size =\"47889408\"]\n  9 [size=\"107870720\", alpha=\"0.05\", expect_size=\"43148288\"] \n  9 -> 11 [size =\"43148288\"]\n  9 -> 12 [size =\"43148288\"]\n  9 -> 13 [size =\"43148288\"]\n  9 -> 15 [size =\"43148288\"]\n  10 [size=\"68976640\", alpha=\"0.09\", expect_size=\"27590656\"] \n  10 -> 21 [size =\"27590656\"]\n  11 [size=\"124756480\", alpha=\"0.06\", expect_size=\"49902592\"] \n  11 -> 18 [size =\"49902592\"]\n  11 -> 20 [size =\"49902592\"]\n  12 [size=\"43847680\", alpha=\"0.10\", expect_size=\"17539072\"] \n  12 -> 20 [size =\"17539072\"]\n  13 [size=\"96693760\", alpha=\"0.04\", expect_size=\"38677504\"] \n  13 -> 18 [size =\"38677504\"]\n  13 -> 19 [size =\"38677504\"]\n  13 -> 20 [size =\"38677504\"]\n  13 -> 21 [size =\"38677504\"]\n  14 [size=\"119518720\", alpha=\"0.19\", expect_size=\"47807488\"] \n  14 -> 21 [size =\"47807488\"]\n  14 -> 22 [size =\"47807488\"]\n  15 [size=\"99671040\", alpha=\"0.03\", expect_size=\"39868416\"] \n  16 [size=\"94720000\", alpha=\"0.01\", expect_size=\"37888000\"] \n  16 -> 17 [size =\"37888000\"]\n  16 -> 20 [size =\"37888000\"]\n  16 -> 21 [size =\"37888000\"]\n  16 -> 22 [size =\"37888000\"]\n  17 [size=\"105541120\", alpha=\"0.03\", expect_size=\"42216448\"] \n  17 -> 23 [size =\"42216448\"]\n  17 -> 25 [size =\"42216448\"]\n  17 -> 26 [size =\"42216448\"]\n  17 -> 27 [size =\"42216448\"]\n  18 [size=\"122859520\", alpha=\"0.13\", expect_size=\"49143808\"] \n  18 -> 24 [size =\"49143808\"]\n  18 -> 26 [size =\"49143808\"]\n  18 -> 28 [size =\"49143808\"]\n  18 -> 29 [size =\"49143808\"]\n  19 [size=\"39457280\", alpha=\"0.17\", expect_size=\"15782912\"] \n  19 -> 24 [size =\"15782912\"]\n  19 -> 27 [size =\"15782912\"]\n  20 [size=\"68487680\", alpha=\"0.09\", expect_size=\"27395072\"] \n  21 [size=\"120647680\", alpha=\"0.07\", expect_size=\"48259072\"] \n  21 -> 23 [size =\"48259072\"]\n  21 -> 25 [size =\"48259072\"]\n  22 [size=\"37358080\", alpha=\"0.11\", expect_size=\"14943232\"] \n  22 -> 23 [size =\"14943232\"]\n  22 -> 26 [size =\"14943232\"]\n  23 [size=\"93716480\", alpha=\"0.19\", expect_size=\"37486592\"] \n  24 [size=\"119132160\", alpha=\"0.01\", expect_size=\"47652864\"] \n  24 -> 34 [size =\"47652864\"]\n  25 [size=\"113269760\", alpha=\"0.03\", expect_size=\"45307904\"] \n  25 -> 31 [size =\"45307904\"]\n  25 -> 32 [size =\"45307904\"]\n  25 -> 34 [size =\"45307904\"]\n  26 [size=\"129497600\", alpha=\"0.13\", expect_size=\"51799040\"] \n  26 -> 31 [size =\"51799040\"]\n  26 -> 33 [size =\"51799040\"]\n  27 [size=\"14899200\", alpha=\"0.11\", expect_size=\"5959680\"] \n  27 -> 30 [size =\"5959680\"]\n  27 -> 31 [size =\"5959680\"]\n  27 -> 33 [size =\"5959680\"]\n  27 -> 34 [size =\"5959680\"]\n  27 -> 35 [size =\"5959680\"]\n  28 [size=\"30110720\", alpha=\"0.06\", expect_size=\"12044288\"] \n  29 [size=\"105254400\", alpha=\"0.18\", expect_size=\"42101760\"] \n  29 -> 33 [size =\"42101760\"]\n  29 -> 35 [size =\"42101760\"]\n  30 [size=\"88332800\", alpha=\"0.20\", expect_size=\"35333120\"] \n  30 -> 36 [size =\"35333120\"]\n  30 -> 38 [size =\"35333120\"]\n  31 [size=\"21591040\", alpha=\"0.20\", expect_size=\"8636416\"] \n  31 -> 39 [size =\"8636416\"]\n  32 [size=\"65807360\", alpha=\"0.05\", expect_size=\"26322944\"] \n  32 -> 36 [size =\"26322944\"]\n  33 [size=\"130142720\", alpha=\"0.05\", expect_size=\"52057088\"] \n  33 -> 36 [size =\"52057088\"]\n  34 [size=\"125770240\", alpha=\"0.02\", expect_size=\"50308096\"] \n  34 -> 40 [size =\"50308096\"]\n  35 [size=\"15736320\", alpha=\"0.15\", expect_size=\"6294528\"] \n  35 -> 37 [size =\"6294528\"]\n  35 -> 40 [size =\"6294528\"]\n  36 [size=\"35522560\", alpha=\"0.01\", expect_size=\"14209024\"] \n  36 -> 43 [size =\"14209024\"]\n  37 [size=\"112135680\", alpha=\"0.03\", expect_size=\"44854272\"] \n  37 -> 41 [size =\"44854272\"]\n  37 -> 42 [size =\"44854272\"]\n  38 [size=\"57085440\", alpha=\"0.03\", expect_size=\"22834176\"] \n  38 -> 41 [size =\"22834176\"]\n  39 [size=\"94958080\", alpha=\"0.08\", expect_size=\"37983232\"] \n  39 -> 43 [size =\"37983232\"]\n  39 -> 44 [size =\"37983232\"]\n  40 [size=\"84584960\", alpha=\"0.02\", expect_size=\"33833984\"] \n  40 -> 43 [size =\"33833984\"]\n  41 [size=\"81840640\", alpha=\"0.15\", expect_size=\"32736256\"] \n  42 [size=\"80409600\", alpha=\"0.12\", expect_size=\"32163840\"] \n  42 -> 45 [size =\"32163840\"]\n  43 [size=\"111034880\", alpha=\"0.02\", expect_size=\"44413952\"] \n  43 -> 45 [size =\"44413952\"]\n  44 [size=\"21376000\", alpha=\"0.10\", expect_size=\"8550400\"] \n  45 [size=\"35806720\", alpha=\"0.15\", expect_size=\"14322688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15884800\", alpha=\"0.13\", expect_size=\"6353920\"] \n  1 -> 7 [size =\"6353920\"]\n  1 -> 8 [size =\"6353920\"]\n  1 -> 9 [size =\"6353920\"]\n  1 -> 11 [size =\"6353920\"]\n  2 [size=\"74667520\", alpha=\"0.18\", expect_size=\"29867008\"] \n  2 -> 7 [size =\"29867008\"]\n  2 -> 8 [size =\"29867008\"]\n  2 -> 9 [size =\"29867008\"]\n  2 -> 14 [size =\"29867008\"]\n  3 [size=\"31173120\", alpha=\"0.04\", expect_size=\"12469248\"] \n  3 -> 7 [size =\"12469248\"]\n  3 -> 8 [size =\"12469248\"]\n  3 -> 9 [size =\"12469248\"]\n  3 -> 13 [size =\"12469248\"]\n  3 -> 14 [size =\"12469248\"]\n  4 [size=\"78848000\", alpha=\"0.09\", expect_size=\"31539200\"] \n  4 -> 11 [size =\"31539200\"]\n  4 -> 14 [size =\"31539200\"]\n  5 [size=\"82158080\", alpha=\"0.14\", expect_size=\"32863232\"] \n  5 -> 8 [size =\"32863232\"]\n  5 -> 11 [size =\"32863232\"]\n  5 -> 12 [size =\"32863232\"]\n  5 -> 13 [size =\"32863232\"]\n  5 -> 14 [size =\"32863232\"]\n  6 [size=\"109486080\", alpha=\"0.20\", expect_size=\"43794432\"] \n  6 -> 8 [size =\"43794432\"]\n  6 -> 9 [size =\"43794432\"]\n  6 -> 10 [size =\"43794432\"]\n  6 -> 12 [size =\"43794432\"]\n  7 [size=\"103339520\", alpha=\"0.05\", expect_size=\"41335808\"] \n  7 -> 15 [size =\"41335808\"]\n  7 -> 16 [size =\"41335808\"]\n  7 -> 18 [size =\"41335808\"]\n  8 [size=\"84093440\", alpha=\"0.04\", expect_size=\"33637376\"] \n  8 -> 15 [size =\"33637376\"]\n  8 -> 19 [size =\"33637376\"]\n  9 [size=\"24862720\", alpha=\"0.01\", expect_size=\"9945088\"] \n  9 -> 15 [size =\"9945088\"]\n  9 -> 17 [size =\"9945088\"]\n  9 -> 19 [size =\"9945088\"]\n  10 [size=\"37104640\", alpha=\"0.06\", expect_size=\"14841856\"] \n  10 -> 16 [size =\"14841856\"]\n  10 -> 17 [size =\"14841856\"]\n  10 -> 18 [size =\"14841856\"]\n  10 -> 19 [size =\"14841856\"]\n  11 [size=\"104847360\", alpha=\"0.04\", expect_size=\"41938944\"] \n  11 -> 18 [size =\"41938944\"]\n  11 -> 19 [size =\"41938944\"]\n  12 [size=\"60817920\", alpha=\"0.09\", expect_size=\"24327168\"] \n  12 -> 15 [size =\"24327168\"]\n  12 -> 16 [size =\"24327168\"]\n  12 -> 18 [size =\"24327168\"]\n  13 [size=\"51161600\", alpha=\"0.11\", expect_size=\"20464640\"] \n  13 -> 15 [size =\"20464640\"]\n  13 -> 16 [size =\"20464640\"]\n  13 -> 18 [size =\"20464640\"]\n  14 [size=\"75566080\", alpha=\"0.12\", expect_size=\"30226432\"] \n  14 -> 15 [size =\"30226432\"]\n  14 -> 18 [size =\"30226432\"]\n  14 -> 18 [size =\"30226432\"]\n  15 [size=\"129697280\", alpha=\"0.03\", expect_size=\"51878912\"] \n  15 -> 20 [size =\"51878912\"]\n  15 -> 22 [size =\"51878912\"]\n  15 -> 23 [size =\"51878912\"]\n  15 -> 24 [size =\"51878912\"]\n  15 -> 26 [size =\"51878912\"]\n  16 [size=\"91934720\", alpha=\"0.10\", expect_size=\"36773888\"] \n  16 -> 21 [size =\"36773888\"]\n  16 -> 22 [size =\"36773888\"]\n  16 -> 24 [size =\"36773888\"]\n  16 -> 25 [size =\"36773888\"]\n  16 -> 27 [size =\"36773888\"]\n  17 [size=\"90478080\", alpha=\"0.15\", expect_size=\"36191232\"] \n  17 -> 21 [size =\"36191232\"]\n  17 -> 22 [size =\"36191232\"]\n  17 -> 24 [size =\"36191232\"]\n  17 -> 25 [size =\"36191232\"]\n  17 -> 26 [size =\"36191232\"]\n  17 -> 27 [size =\"36191232\"]\n  18 [size=\"119628800\", alpha=\"0.13\", expect_size=\"47851520\"] \n  18 -> 21 [size =\"47851520\"]\n  18 -> 22 [size =\"47851520\"]\n  18 -> 23 [size =\"47851520\"]\n  18 -> 26 [size =\"47851520\"]\n  18 -> 26 [size =\"47851520\"]\n  19 [size=\"27038720\", alpha=\"0.08\", expect_size=\"10815488\"] \n  19 -> 21 [size =\"10815488\"]\n  19 -> 22 [size =\"10815488\"]\n  19 -> 23 [size =\"10815488\"]\n  19 -> 26 [size =\"10815488\"]\n  20 [size=\"30714880\", alpha=\"0.04\", expect_size=\"12285952\"] \n  20 -> 28 [size =\"12285952\"]\n  20 -> 29 [size =\"12285952\"]\n  20 -> 30 [size =\"12285952\"]\n  20 -> 31 [size =\"12285952\"]\n  20 -> 32 [size =\"12285952\"]\n  20 -> 33 [size =\"12285952\"]\n  20 -> 34 [size =\"12285952\"]\n  21 [size=\"67440640\", alpha=\"0.00\", expect_size=\"26976256\"] \n  21 -> 28 [size =\"26976256\"]\n  21 -> 31 [size =\"26976256\"]\n  21 -> 33 [size =\"26976256\"]\n  21 -> 34 [size =\"26976256\"]\n  22 [size=\"88089600\", alpha=\"0.07\", expect_size=\"35235840\"] \n  22 -> 28 [size =\"35235840\"]\n  22 -> 30 [size =\"35235840\"]\n  22 -> 31 [size =\"35235840\"]\n  22 -> 32 [size =\"35235840\"]\n  22 -> 33 [size =\"35235840\"]\n  22 -> 34 [size =\"35235840\"]\n  23 [size=\"23690240\", alpha=\"0.17\", expect_size=\"9476096\"] \n  23 -> 28 [size =\"9476096\"]\n  23 -> 29 [size =\"9476096\"]\n  23 -> 31 [size =\"9476096\"]\n  23 -> 33 [size =\"9476096\"]\n  24 [size=\"87992320\", alpha=\"0.18\", expect_size=\"35196928\"] \n  24 -> 29 [size =\"35196928\"]\n  24 -> 30 [size =\"35196928\"]\n  24 -> 34 [size =\"35196928\"]\n  25 [size=\"39838720\", alpha=\"0.11\", expect_size=\"15935488\"] \n  25 -> 29 [size =\"15935488\"]\n  25 -> 31 [size =\"15935488\"]\n  25 -> 32 [size =\"15935488\"]\n  25 -> 33 [size =\"15935488\"]\n  25 -> 34 [size =\"15935488\"]\n  26 [size=\"59944960\", alpha=\"0.01\", expect_size=\"23977984\"] \n  26 -> 29 [size =\"23977984\"]\n  26 -> 31 [size =\"23977984\"]\n  26 -> 32 [size =\"23977984\"]\n  26 -> 33 [size =\"23977984\"]\n  26 -> 34 [size =\"23977984\"]\n  27 [size=\"119257600\", alpha=\"0.05\", expect_size=\"47703040\"] \n  27 -> 29 [size =\"47703040\"]\n  27 -> 30 [size =\"47703040\"]\n  27 -> 31 [size =\"47703040\"]\n  27 -> 32 [size =\"47703040\"]\n  27 -> 33 [size =\"47703040\"]\n  27 -> 34 [size =\"47703040\"]\n  28 [size=\"91816960\", alpha=\"0.02\", expect_size=\"36726784\"] \n  28 -> 36 [size =\"36726784\"]\n  29 [size=\"50723840\", alpha=\"0.00\", expect_size=\"20289536\"] \n  29 -> 36 [size =\"20289536\"]\n  30 [size=\"95772160\", alpha=\"0.03\", expect_size=\"38308864\"] \n  31 [size=\"117624320\", alpha=\"0.01\", expect_size=\"47049728\"] \n  31 -> 35 [size =\"47049728\"]\n  31 -> 37 [size =\"47049728\"]\n  32 [size=\"119050240\", alpha=\"0.07\", expect_size=\"47620096\"] \n  33 [size=\"43653120\", alpha=\"0.00\", expect_size=\"17461248\"] \n  33 -> 36 [size =\"17461248\"]\n  33 -> 37 [size =\"17461248\"]\n  34 [size=\"27461120\", alpha=\"0.03\", expect_size=\"10984448\"] \n  34 -> 35 [size =\"10984448\"]\n  35 [size=\"18252800\", alpha=\"0.06\", expect_size=\"7301120\"] \n  35 -> 38 [size =\"7301120\"]\n  35 -> 39 [size =\"7301120\"]\n  36 [size=\"85079040\", alpha=\"0.03\", expect_size=\"34031616\"] \n  36 -> 38 [size =\"34031616\"]\n  36 -> 39 [size =\"34031616\"]\n  36 -> 40 [size =\"34031616\"]\n  37 [size=\"88389120\", alpha=\"0.12\", expect_size=\"35355648\"] \n  37 -> 39 [size =\"35355648\"]\n  37 -> 40 [size =\"35355648\"]\n  38 [size=\"118420480\", alpha=\"0.00\", expect_size=\"47368192\"] \n  38 -> 43 [size =\"47368192\"]\n  38 -> 44 [size =\"47368192\"]\n  39 [size=\"128197120\", alpha=\"0.10\", expect_size=\"51278848\"] \n  39 -> 41 [size =\"51278848\"]\n  39 -> 42 [size =\"51278848\"]\n  39 -> 43 [size =\"51278848\"]\n  39 -> 44 [size =\"51278848\"]\n  40 [size=\"129474560\", alpha=\"0.03\", expect_size=\"51789824\"] \n  40 -> 43 [size =\"51789824\"]\n  40 -> 44 [size =\"51789824\"]\n  41 [size=\"28285440\", alpha=\"0.05\", expect_size=\"11314176\"] \n  41 -> 45 [size =\"11314176\"]\n  42 [size=\"34339840\", alpha=\"0.00\", expect_size=\"13735936\"] \n  42 -> 45 [size =\"13735936\"]\n  43 [size=\"77383680\", alpha=\"0.17\", expect_size=\"30953472\"] \n  44 [size=\"77504000\", alpha=\"0.06\", expect_size=\"31001600\"] \n  44 -> 45 [size =\"31001600\"]\n  45 [size=\"97164800\", alpha=\"0.00\", expect_size=\"38865920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20701184\", alpha=\"0.04\", expect_size=\"10350592\"] \n  1 -> 31 [size =\"10350592\"]\n  1 -> 35 [size =\"10350592\"]\n  1 -> 36 [size =\"10350592\"]\n  1 -> 38 [size =\"10350592\"]\n  1 -> 39 [size =\"10350592\"]\n  1 -> 45 [size =\"10350592\"]\n  2 [size=\"62521344\", alpha=\"0.17\", expect_size=\"31260672\"] \n  2 -> 30 [size =\"31260672\"]\n  2 -> 35 [size =\"31260672\"]\n  2 -> 41 [size =\"31260672\"]\n  2 -> 44 [size =\"31260672\"]\n  2 -> 45 [size =\"31260672\"]\n  3 [size=\"75814912\", alpha=\"0.08\", expect_size=\"37907456\"] \n  3 -> 31 [size =\"37907456\"]\n  3 -> 35 [size =\"37907456\"]\n  3 -> 38 [size =\"37907456\"]\n  3 -> 39 [size =\"37907456\"]\n  3 -> 40 [size =\"37907456\"]\n  4 [size=\"53784576\", alpha=\"0.08\", expect_size=\"26892288\"] \n  4 -> 31 [size =\"26892288\"]\n  4 -> 39 [size =\"26892288\"]\n  5 [size=\"96460800\", alpha=\"0.09\", expect_size=\"48230400\"] \n  5 -> 36 [size =\"48230400\"]\n  5 -> 39 [size =\"48230400\"]\n  6 [size=\"80949248\", alpha=\"0.18\", expect_size=\"40474624\"] \n  6 -> 30 [size =\"40474624\"]\n  6 -> 31 [size =\"40474624\"]\n  6 -> 35 [size =\"40474624\"]\n  6 -> 39 [size =\"40474624\"]\n  6 -> 42 [size =\"40474624\"]\n  7 [size=\"68687872\", alpha=\"0.20\", expect_size=\"34343936\"] \n  7 -> 30 [size =\"34343936\"]\n  7 -> 38 [size =\"34343936\"]\n  7 -> 39 [size =\"34343936\"]\n  7 -> 39 [size =\"34343936\"]\n  7 -> 42 [size =\"34343936\"]\n  8 [size=\"98942976\", alpha=\"0.06\", expect_size=\"49471488\"] \n  8 -> 30 [size =\"49471488\"]\n  8 -> 31 [size =\"49471488\"]\n  8 -> 33 [size =\"49471488\"]\n  8 -> 35 [size =\"49471488\"]\n  8 -> 37 [size =\"49471488\"]\n  8 -> 39 [size =\"49471488\"]\n  8 -> 40 [size =\"49471488\"]\n  9 [size=\"97761280\", alpha=\"0.19\", expect_size=\"48880640\"] \n  9 -> 30 [size =\"48880640\"]\n  9 -> 31 [size =\"48880640\"]\n  9 -> 35 [size =\"48880640\"]\n  9 -> 37 [size =\"48880640\"]\n  9 -> 42 [size =\"48880640\"]\n  10 [size=\"47781888\", alpha=\"0.06\", expect_size=\"23890944\"] \n  10 -> 30 [size =\"23890944\"]\n  10 -> 33 [size =\"23890944\"]\n  10 -> 36 [size =\"23890944\"]\n  10 -> 42 [size =\"23890944\"]\n  10 -> 45 [size =\"23890944\"]\n  11 [size=\"75841536\", alpha=\"0.06\", expect_size=\"37920768\"] \n  11 -> 30 [size =\"37920768\"]\n  11 -> 36 [size =\"37920768\"]\n  11 -> 38 [size =\"37920768\"]\n  12 [size=\"93566976\", alpha=\"0.02\", expect_size=\"46783488\"] \n  12 -> 31 [size =\"46783488\"]\n  12 -> 38 [size =\"46783488\"]\n  12 -> 39 [size =\"46783488\"]\n  12 -> 40 [size =\"46783488\"]\n  12 -> 41 [size =\"46783488\"]\n  12 -> 42 [size =\"46783488\"]\n  13 [size=\"81725440\", alpha=\"0.16\", expect_size=\"40862720\"] \n  13 -> 32 [size =\"40862720\"]\n  13 -> 35 [size =\"40862720\"]\n  13 -> 38 [size =\"40862720\"]\n  13 -> 39 [size =\"40862720\"]\n  13 -> 40 [size =\"40862720\"]\n  13 -> 41 [size =\"40862720\"]\n  14 [size=\"23939072\", alpha=\"0.13\", expect_size=\"11969536\"] \n  14 -> 32 [size =\"11969536\"]\n  14 -> 35 [size =\"11969536\"]\n  14 -> 40 [size =\"11969536\"]\n  14 -> 42 [size =\"11969536\"]\n  15 [size=\"60606464\", alpha=\"0.04\", expect_size=\"30303232\"] \n  15 -> 30 [size =\"30303232\"]\n  15 -> 32 [size =\"30303232\"]\n  15 -> 35 [size =\"30303232\"]\n  15 -> 37 [size =\"30303232\"]\n  15 -> 38 [size =\"30303232\"]\n  15 -> 39 [size =\"30303232\"]\n  15 -> 42 [size =\"30303232\"]\n  15 -> 43 [size =\"30303232\"]\n  15 -> 45 [size =\"30303232\"]\n  16 [size=\"104140800\", alpha=\"0.03\", expect_size=\"52070400\"] \n  16 -> 30 [size =\"52070400\"]\n  16 -> 31 [size =\"52070400\"]\n  16 -> 32 [size =\"52070400\"]\n  16 -> 37 [size =\"52070400\"]\n  16 -> 38 [size =\"52070400\"]\n  16 -> 39 [size =\"52070400\"]\n  16 -> 42 [size =\"52070400\"]\n  17 [size=\"92706816\", alpha=\"0.17\", expect_size=\"46353408\"] \n  17 -> 30 [size =\"46353408\"]\n  17 -> 33 [size =\"46353408\"]\n  17 -> 35 [size =\"46353408\"]\n  17 -> 38 [size =\"46353408\"]\n  17 -> 38 [size =\"46353408\"]\n  17 -> 39 [size =\"46353408\"]\n  17 -> 41 [size =\"46353408\"]\n  17 -> 45 [size =\"46353408\"]\n  18 [size=\"92184576\", alpha=\"0.13\", expect_size=\"46092288\"] \n  18 -> 35 [size =\"46092288\"]\n  18 -> 38 [size =\"46092288\"]\n  18 -> 39 [size =\"46092288\"]\n  18 -> 41 [size =\"46092288\"]\n  19 [size=\"26429440\", alpha=\"0.07\", expect_size=\"13214720\"] \n  19 -> 34 [size =\"13214720\"]\n  19 -> 41 [size =\"13214720\"]\n  19 -> 45 [size =\"13214720\"]\n  20 [size=\"23080960\", alpha=\"0.04\", expect_size=\"11540480\"] \n  20 -> 30 [size =\"11540480\"]\n  20 -> 35 [size =\"11540480\"]\n  20 -> 37 [size =\"11540480\"]\n  20 -> 38 [size =\"11540480\"]\n  20 -> 41 [size =\"11540480\"]\n  20 -> 42 [size =\"11540480\"]\n  20 -> 45 [size =\"11540480\"]\n  21 [size=\"51783680\", alpha=\"0.03\", expect_size=\"25891840\"] \n  21 -> 31 [size =\"25891840\"]\n  21 -> 37 [size =\"25891840\"]\n  21 -> 39 [size =\"25891840\"]\n  21 -> 41 [size =\"25891840\"]\n  21 -> 41 [size =\"25891840\"]\n  22 [size=\"79554560\", alpha=\"0.14\", expect_size=\"39777280\"] \n  22 -> 30 [size =\"39777280\"]\n  22 -> 37 [size =\"39777280\"]\n  22 -> 40 [size =\"39777280\"]\n  22 -> 41 [size =\"39777280\"]\n  22 -> 42 [size =\"39777280\"]\n  23 [size=\"88449024\", alpha=\"0.18\", expect_size=\"44224512\"] \n  23 -> 38 [size =\"44224512\"]\n  23 -> 39 [size =\"44224512\"]\n  23 -> 41 [size =\"44224512\"]\n  23 -> 41 [size =\"44224512\"]\n  24 [size=\"68931584\", alpha=\"0.11\", expect_size=\"34465792\"] \n  24 -> 37 [size =\"34465792\"]\n  25 [size=\"33554432\", alpha=\"0.03\", expect_size=\"16777216\"] \n  25 -> 30 [size =\"16777216\"]\n  25 -> 35 [size =\"16777216\"]\n  25 -> 37 [size =\"16777216\"]\n  25 -> 41 [size =\"16777216\"]\n  26 [size=\"53061632\", alpha=\"0.09\", expect_size=\"26530816\"] \n  26 -> 30 [size =\"26530816\"]\n  26 -> 35 [size =\"26530816\"]\n  26 -> 37 [size =\"26530816\"]\n  27 [size=\"68333568\", alpha=\"0.08\", expect_size=\"34166784\"] \n  27 -> 30 [size =\"34166784\"]\n  27 -> 38 [size =\"34166784\"]\n  28 [size=\"56027136\", alpha=\"0.06\", expect_size=\"28013568\"] \n  28 -> 30 [size =\"28013568\"]\n  28 -> 31 [size =\"28013568\"]\n  28 -> 35 [size =\"28013568\"]\n  28 -> 38 [size =\"28013568\"]\n  28 -> 42 [size =\"28013568\"]\n  28 -> 43 [size =\"28013568\"]\n  28 -> 45 [size =\"28013568\"]\n  29 [size=\"24211456\", alpha=\"0.02\", expect_size=\"12105728\"] \n  29 -> 31 [size =\"12105728\"]\n  29 -> 37 [size =\"12105728\"]\n  29 -> 41 [size =\"12105728\"]\n  29 -> 45 [size =\"12105728\"]\n  30 [size=\"56252416\", alpha=\"0.06\", expect_size=\"28126208\"] \n  31 [size=\"74977280\", alpha=\"0.04\", expect_size=\"37488640\"] \n  32 [size=\"90599424\", alpha=\"0.19\", expect_size=\"45299712\"] \n  33 [size=\"60784640\", alpha=\"0.10\", expect_size=\"30392320\"] \n  34 [size=\"50864128\", alpha=\"0.04\", expect_size=\"25432064\"] \n  35 [size=\"104138752\", alpha=\"0.08\", expect_size=\"52069376\"] \n  36 [size=\"23468032\", alpha=\"0.11\", expect_size=\"11734016\"] \n  37 [size=\"68063232\", alpha=\"0.13\", expect_size=\"34031616\"] \n  38 [size=\"13008896\", alpha=\"0.11\", expect_size=\"6504448\"] \n  39 [size=\"41136128\", alpha=\"0.13\", expect_size=\"20568064\"] \n  40 [size=\"50976768\", alpha=\"0.18\", expect_size=\"25488384\"] \n  41 [size=\"79831040\", alpha=\"0.12\", expect_size=\"39915520\"] \n  42 [size=\"98680832\", alpha=\"0.20\", expect_size=\"49340416\"] \n  43 [size=\"96237568\", alpha=\"0.04\", expect_size=\"48118784\"] \n  44 [size=\"49369088\", alpha=\"0.01\", expect_size=\"24684544\"] \n  45 [size=\"65904640\", alpha=\"0.03\", expect_size=\"32952320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38615040\", alpha=\"0.18\", expect_size=\"19307520\"] \n  1 -> 10 [size =\"19307520\"]\n  2 [size=\"36575232\", alpha=\"0.20\", expect_size=\"18287616\"] \n  3 [size=\"94189568\", alpha=\"0.16\", expect_size=\"47094784\"] \n  3 -> 7 [size =\"47094784\"]\n  3 -> 9 [size =\"47094784\"]\n  3 -> 11 [size =\"47094784\"]\n  4 [size=\"35639296\", alpha=\"0.04\", expect_size=\"17819648\"] \n  4 -> 7 [size =\"17819648\"]\n  4 -> 9 [size =\"17819648\"]\n  4 -> 11 [size =\"17819648\"]\n  5 [size=\"34187264\", alpha=\"0.08\", expect_size=\"17093632\"] \n  5 -> 7 [size =\"17093632\"]\n  5 -> 9 [size =\"17093632\"]\n  5 -> 11 [size =\"17093632\"]\n  6 [size=\"73461760\", alpha=\"0.05\", expect_size=\"36730880\"] \n  6 -> 7 [size =\"36730880\"]\n  6 -> 8 [size =\"36730880\"]\n  6 -> 10 [size =\"36730880\"]\n  6 -> 12 [size =\"36730880\"]\n  7 [size=\"88793088\", alpha=\"0.03\", expect_size=\"44396544\"] \n  7 -> 14 [size =\"44396544\"]\n  7 -> 15 [size =\"44396544\"]\n  7 -> 17 [size =\"44396544\"]\n  8 [size=\"11008000\", alpha=\"0.14\", expect_size=\"5504000\"] \n  8 -> 16 [size =\"5504000\"]\n  8 -> 19 [size =\"5504000\"]\n  9 [size=\"69533696\", alpha=\"0.16\", expect_size=\"34766848\"] \n  9 -> 13 [size =\"34766848\"]\n  9 -> 16 [size =\"34766848\"]\n  9 -> 19 [size =\"34766848\"]\n  10 [size=\"27246592\", alpha=\"0.07\", expect_size=\"13623296\"] \n  10 -> 13 [size =\"13623296\"]\n  10 -> 19 [size =\"13623296\"]\n  11 [size=\"23455744\", alpha=\"0.04\", expect_size=\"11727872\"] \n  11 -> 15 [size =\"11727872\"]\n  11 -> 16 [size =\"11727872\"]\n  11 -> 18 [size =\"11727872\"]\n  12 [size=\"14108672\", alpha=\"0.16\", expect_size=\"7054336\"] \n  12 -> 15 [size =\"7054336\"]\n  12 -> 16 [size =\"7054336\"]\n  13 [size=\"12726272\", alpha=\"0.16\", expect_size=\"6363136\"] \n  13 -> 20 [size =\"6363136\"]\n  13 -> 21 [size =\"6363136\"]\n  14 [size=\"89780224\", alpha=\"0.13\", expect_size=\"44890112\"] \n  14 -> 20 [size =\"44890112\"]\n  14 -> 22 [size =\"44890112\"]\n  15 [size=\"13619200\", alpha=\"0.19\", expect_size=\"6809600\"] \n  15 -> 21 [size =\"6809600\"]\n  15 -> 22 [size =\"6809600\"]\n  16 [size=\"50302976\", alpha=\"0.14\", expect_size=\"25151488\"] \n  16 -> 21 [size =\"25151488\"]\n  16 -> 22 [size =\"25151488\"]\n  17 [size=\"73734144\", alpha=\"0.15\", expect_size=\"36867072\"] \n  17 -> 21 [size =\"36867072\"]\n  18 [size=\"86321152\", alpha=\"0.06\", expect_size=\"43160576\"] \n  18 -> 22 [size =\"43160576\"]\n  19 [size=\"56739840\", alpha=\"0.12\", expect_size=\"28369920\"] \n  19 -> 21 [size =\"28369920\"]\n  19 -> 22 [size =\"28369920\"]\n  20 [size=\"39098368\", alpha=\"0.17\", expect_size=\"19549184\"] \n  20 -> 25 [size =\"19549184\"]\n  20 -> 27 [size =\"19549184\"]\n  21 [size=\"70289408\", alpha=\"0.09\", expect_size=\"35144704\"] \n  21 -> 23 [size =\"35144704\"]\n  21 -> 24 [size =\"35144704\"]\n  22 [size=\"88530944\", alpha=\"0.06\", expect_size=\"44265472\"] \n  22 -> 25 [size =\"44265472\"]\n  22 -> 26 [size =\"44265472\"]\n  22 -> 28 [size =\"44265472\"]\n  23 [size=\"71667712\", alpha=\"0.00\", expect_size=\"35833856\"] \n  23 -> 31 [size =\"35833856\"]\n  23 -> 32 [size =\"35833856\"]\n  23 -> 33 [size =\"35833856\"]\n  23 -> 35 [size =\"35833856\"]\n  23 -> 36 [size =\"35833856\"]\n  24 [size=\"54149120\", alpha=\"0.00\", expect_size=\"27074560\"] \n  24 -> 32 [size =\"27074560\"]\n  24 -> 32 [size =\"27074560\"]\n  25 [size=\"20805632\", alpha=\"0.05\", expect_size=\"10402816\"] \n  25 -> 30 [size =\"10402816\"]\n  25 -> 33 [size =\"10402816\"]\n  25 -> 34 [size =\"10402816\"]\n  25 -> 36 [size =\"10402816\"]\n  26 [size=\"16271360\", alpha=\"0.04\", expect_size=\"8135680\"] \n  26 -> 29 [size =\"8135680\"]\n  26 -> 30 [size =\"8135680\"]\n  26 -> 31 [size =\"8135680\"]\n  26 -> 32 [size =\"8135680\"]\n  26 -> 33 [size =\"8135680\"]\n  26 -> 34 [size =\"8135680\"]\n  26 -> 35 [size =\"8135680\"]\n  26 -> 36 [size =\"8135680\"]\n  27 [size=\"81512448\", alpha=\"0.19\", expect_size=\"40756224\"] \n  27 -> 30 [size =\"40756224\"]\n  27 -> 35 [size =\"40756224\"]\n  27 -> 36 [size =\"40756224\"]\n  28 [size=\"57298944\", alpha=\"0.14\", expect_size=\"28649472\"] \n  28 -> 30 [size =\"28649472\"]\n  28 -> 32 [size =\"28649472\"]\n  28 -> 35 [size =\"28649472\"]\n  28 -> 36 [size =\"28649472\"]\n  29 [size=\"87095296\", alpha=\"0.01\", expect_size=\"43547648\"] \n  29 -> 40 [size =\"43547648\"]\n  30 [size=\"49152000\", alpha=\"0.12\", expect_size=\"24576000\"] \n  30 -> 37 [size =\"24576000\"]\n  30 -> 38 [size =\"24576000\"]\n  30 -> 40 [size =\"24576000\"]\n  31 [size=\"36773888\", alpha=\"0.06\", expect_size=\"18386944\"] \n  31 -> 37 [size =\"18386944\"]\n  31 -> 38 [size =\"18386944\"]\n  31 -> 39 [size =\"18386944\"]\n  31 -> 40 [size =\"18386944\"]\n  31 -> 41 [size =\"18386944\"]\n  32 [size=\"78090240\", alpha=\"0.01\", expect_size=\"39045120\"] \n  32 -> 37 [size =\"39045120\"]\n  32 -> 38 [size =\"39045120\"]\n  32 -> 39 [size =\"39045120\"]\n  32 -> 40 [size =\"39045120\"]\n  33 [size=\"104822784\", alpha=\"0.16\", expect_size=\"52411392\"] \n  33 -> 40 [size =\"52411392\"]\n  33 -> 42 [size =\"52411392\"]\n  34 [size=\"11929600\", alpha=\"0.08\", expect_size=\"5964800\"] \n  34 -> 38 [size =\"5964800\"]\n  34 -> 40 [size =\"5964800\"]\n  34 -> 41 [size =\"5964800\"]\n  35 [size=\"13307904\", alpha=\"0.00\", expect_size=\"6653952\"] \n  35 -> 38 [size =\"6653952\"]\n  35 -> 41 [size =\"6653952\"]\n  36 [size=\"38291456\", alpha=\"0.01\", expect_size=\"19145728\"] \n  36 -> 41 [size =\"19145728\"]\n  37 [size=\"55482368\", alpha=\"0.16\", expect_size=\"27741184\"] \n  38 [size=\"48822272\", alpha=\"0.06\", expect_size=\"24411136\"] \n  38 -> 43 [size =\"24411136\"]\n  39 [size=\"18831360\", alpha=\"0.07\", expect_size=\"9415680\"] \n  40 [size=\"24557568\", alpha=\"0.13\", expect_size=\"12278784\"] \n  40 -> 44 [size =\"12278784\"]\n  40 -> 45 [size =\"12278784\"]\n  41 [size=\"82763776\", alpha=\"0.12\", expect_size=\"41381888\"] \n  41 -> 43 [size =\"41381888\"]\n  41 -> 44 [size =\"41381888\"]\n  41 -> 45 [size =\"41381888\"]\n  42 [size=\"17678336\", alpha=\"0.08\", expect_size=\"8839168\"] \n  42 -> 44 [size =\"8839168\"]\n  42 -> 44 [size =\"8839168\"]\n  43 [size=\"21667840\", alpha=\"0.16\", expect_size=\"10833920\"] \n  44 [size=\"96976896\", alpha=\"0.14\", expect_size=\"48488448\"] \n  45 [size=\"39784448\", alpha=\"0.14\", expect_size=\"19892224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40454144\", alpha=\"0.18\", expect_size=\"20227072\"] \n  1 -> 30 [size =\"20227072\"]\n  1 -> 31 [size =\"20227072\"]\n  1 -> 36 [size =\"20227072\"]\n  1 -> 38 [size =\"20227072\"]\n  1 -> 42 [size =\"20227072\"]\n  2 [size=\"98549760\", alpha=\"0.01\", expect_size=\"49274880\"] \n  2 -> 31 [size =\"49274880\"]\n  2 -> 36 [size =\"49274880\"]\n  3 [size=\"49405952\", alpha=\"0.18\", expect_size=\"24702976\"] \n  3 -> 30 [size =\"24702976\"]\n  3 -> 31 [size =\"24702976\"]\n  3 -> 36 [size =\"24702976\"]\n  4 [size=\"20324352\", alpha=\"0.02\", expect_size=\"10162176\"] \n  4 -> 32 [size =\"10162176\"]\n  4 -> 36 [size =\"10162176\"]\n  4 -> 40 [size =\"10162176\"]\n  5 [size=\"45869056\", alpha=\"0.04\", expect_size=\"22934528\"] \n  5 -> 36 [size =\"22934528\"]\n  5 -> 38 [size =\"22934528\"]\n  5 -> 40 [size =\"22934528\"]\n  6 [size=\"86054912\", alpha=\"0.10\", expect_size=\"43027456\"] \n  6 -> 32 [size =\"43027456\"]\n  6 -> 33 [size =\"43027456\"]\n  6 -> 38 [size =\"43027456\"]\n  7 [size=\"48486400\", alpha=\"0.16\", expect_size=\"24243200\"] \n  7 -> 31 [size =\"24243200\"]\n  8 [size=\"97089536\", alpha=\"0.04\", expect_size=\"48544768\"] \n  8 -> 30 [size =\"48544768\"]\n  8 -> 31 [size =\"48544768\"]\n  8 -> 33 [size =\"48544768\"]\n  8 -> 39 [size =\"48544768\"]\n  9 [size=\"82116608\", alpha=\"0.17\", expect_size=\"41058304\"] \n  9 -> 35 [size =\"41058304\"]\n  9 -> 38 [size =\"41058304\"]\n  10 [size=\"71340032\", alpha=\"0.02\", expect_size=\"35670016\"] \n  10 -> 29 [size =\"35670016\"]\n  10 -> 31 [size =\"35670016\"]\n  10 -> 35 [size =\"35670016\"]\n  10 -> 38 [size =\"35670016\"]\n  10 -> 42 [size =\"35670016\"]\n  10 -> 44 [size =\"35670016\"]\n  11 [size=\"66490368\", alpha=\"0.07\", expect_size=\"33245184\"] \n  11 -> 32 [size =\"33245184\"]\n  11 -> 33 [size =\"33245184\"]\n  11 -> 35 [size =\"33245184\"]\n  11 -> 36 [size =\"33245184\"]\n  11 -> 40 [size =\"33245184\"]\n  11 -> 42 [size =\"33245184\"]\n  12 [size=\"59199488\", alpha=\"0.12\", expect_size=\"29599744\"] \n  12 -> 32 [size =\"29599744\"]\n  12 -> 35 [size =\"29599744\"]\n  12 -> 38 [size =\"29599744\"]\n  12 -> 43 [size =\"29599744\"]\n  13 [size=\"64225280\", alpha=\"0.03\", expect_size=\"32112640\"] \n  13 -> 32 [size =\"32112640\"]\n  13 -> 38 [size =\"32112640\"]\n  13 -> 38 [size =\"32112640\"]\n  14 [size=\"57049088\", alpha=\"0.02\", expect_size=\"28524544\"] \n  14 -> 31 [size =\"28524544\"]\n  14 -> 32 [size =\"28524544\"]\n  14 -> 42 [size =\"28524544\"]\n  15 [size=\"65902592\", alpha=\"0.00\", expect_size=\"32951296\"] \n  15 -> 37 [size =\"32951296\"]\n  15 -> 39 [size =\"32951296\"]\n  15 -> 45 [size =\"32951296\"]\n  16 [size=\"83423232\", alpha=\"0.15\", expect_size=\"41711616\"] \n  16 -> 31 [size =\"41711616\"]\n  16 -> 38 [size =\"41711616\"]\n  16 -> 39 [size =\"41711616\"]\n  17 [size=\"38488064\", alpha=\"0.03\", expect_size=\"19244032\"] \n  17 -> 33 [size =\"19244032\"]\n  17 -> 39 [size =\"19244032\"]\n  18 [size=\"19900416\", alpha=\"0.17\", expect_size=\"9950208\"] \n  18 -> 34 [size =\"9950208\"]\n  18 -> 36 [size =\"9950208\"]\n  18 -> 42 [size =\"9950208\"]\n  19 [size=\"40415232\", alpha=\"0.06\", expect_size=\"20207616\"] \n  19 -> 34 [size =\"20207616\"]\n  19 -> 35 [size =\"20207616\"]\n  19 -> 36 [size =\"20207616\"]\n  19 -> 41 [size =\"20207616\"]\n  20 [size=\"24465408\", alpha=\"0.03\", expect_size=\"12232704\"] \n  20 -> 36 [size =\"12232704\"]\n  20 -> 43 [size =\"12232704\"]\n  21 [size=\"34220032\", alpha=\"0.05\", expect_size=\"17110016\"] \n  21 -> 37 [size =\"17110016\"]\n  21 -> 44 [size =\"17110016\"]\n  21 -> 45 [size =\"17110016\"]\n  22 [size=\"69416960\", alpha=\"0.07\", expect_size=\"34708480\"] \n  22 -> 31 [size =\"34708480\"]\n  22 -> 32 [size =\"34708480\"]\n  23 [size=\"33165312\", alpha=\"0.16\", expect_size=\"16582656\"] \n  23 -> 33 [size =\"16582656\"]\n  23 -> 37 [size =\"16582656\"]\n  23 -> 38 [size =\"16582656\"]\n  24 [size=\"47513600\", alpha=\"0.08\", expect_size=\"23756800\"] \n  24 -> 30 [size =\"23756800\"]\n  24 -> 35 [size =\"23756800\"]\n  24 -> 36 [size =\"23756800\"]\n  25 [size=\"55767040\", alpha=\"0.07\", expect_size=\"27883520\"] \n  25 -> 29 [size =\"27883520\"]\n  25 -> 32 [size =\"27883520\"]\n  25 -> 35 [size =\"27883520\"]\n  25 -> 37 [size =\"27883520\"]\n  26 [size=\"56283136\", alpha=\"0.03\", expect_size=\"28141568\"] \n  26 -> 30 [size =\"28141568\"]\n  26 -> 32 [size =\"28141568\"]\n  26 -> 33 [size =\"28141568\"]\n  26 -> 45 [size =\"28141568\"]\n  27 [size=\"30900224\", alpha=\"0.06\", expect_size=\"15450112\"] \n  27 -> 41 [size =\"15450112\"]\n  28 [size=\"45328384\", alpha=\"0.07\", expect_size=\"22664192\"] \n  28 -> 30 [size =\"22664192\"]\n  28 -> 32 [size =\"22664192\"]\n  28 -> 40 [size =\"22664192\"]\n  29 [size=\"32221184\", alpha=\"0.04\", expect_size=\"16110592\"] \n  30 [size=\"62007296\", alpha=\"0.14\", expect_size=\"31003648\"] \n  31 [size=\"74604544\", alpha=\"0.15\", expect_size=\"37302272\"] \n  32 [size=\"99983360\", alpha=\"0.07\", expect_size=\"49991680\"] \n  33 [size=\"37464064\", alpha=\"0.11\", expect_size=\"18732032\"] \n  34 [size=\"20340736\", alpha=\"0.04\", expect_size=\"10170368\"] \n  35 [size=\"58454016\", alpha=\"0.09\", expect_size=\"29227008\"] \n  36 [size=\"92815360\", alpha=\"0.09\", expect_size=\"46407680\"] \n  37 [size=\"104624128\", alpha=\"0.15\", expect_size=\"52312064\"] \n  38 [size=\"37511168\", alpha=\"0.04\", expect_size=\"18755584\"] \n  39 [size=\"72450048\", alpha=\"0.18\", expect_size=\"36225024\"] \n  40 [size=\"92332032\", alpha=\"0.16\", expect_size=\"46166016\"] \n  41 [size=\"63639552\", alpha=\"0.19\", expect_size=\"31819776\"] \n  42 [size=\"42379264\", alpha=\"0.14\", expect_size=\"21189632\"] \n  43 [size=\"77262848\", alpha=\"0.14\", expect_size=\"38631424\"] \n  44 [size=\"33290240\", alpha=\"0.01\", expect_size=\"16645120\"] \n  45 [size=\"51396608\", alpha=\"0.19\", expect_size=\"25698304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95669760\", alpha=\"0.19\", expect_size=\"38267904\"] \n  1 -> 6 [size =\"38267904\"]\n  1 -> 9 [size =\"38267904\"]\n  1 -> 10 [size =\"38267904\"]\n  2 [size=\"40409600\", alpha=\"0.17\", expect_size=\"16163840\"] \n  3 [size=\"51993600\", alpha=\"0.17\", expect_size=\"20797440\"] \n  3 -> 8 [size =\"20797440\"]\n  3 -> 10 [size =\"20797440\"]\n  4 [size=\"84267520\", alpha=\"0.01\", expect_size=\"33707008\"] \n  4 -> 7 [size =\"33707008\"]\n  4 -> 9 [size =\"33707008\"]\n  5 [size=\"15503360\", alpha=\"0.03\", expect_size=\"6201344\"] \n  5 -> 8 [size =\"6201344\"]\n  5 -> 10 [size =\"6201344\"]\n  6 [size=\"31518720\", alpha=\"0.13\", expect_size=\"12607488\"] \n  7 [size=\"111329280\", alpha=\"0.15\", expect_size=\"44531712\"] \n  7 -> 15 [size =\"44531712\"]\n  8 [size=\"17280000\", alpha=\"0.01\", expect_size=\"6912000\"] \n  8 -> 12 [size =\"6912000\"]\n  8 -> 14 [size =\"6912000\"]\n  9 [size=\"66944000\", alpha=\"0.17\", expect_size=\"26777600\"] \n  9 -> 14 [size =\"26777600\"]\n  10 [size=\"51939840\", alpha=\"0.19\", expect_size=\"20775936\"] \n  10 -> 11 [size =\"20775936\"]\n  10 -> 12 [size =\"20775936\"]\n  10 -> 13 [size =\"20775936\"]\n  10 -> 14 [size =\"20775936\"]\n  10 -> 15 [size =\"20775936\"]\n  11 [size=\"54443520\", alpha=\"0.08\", expect_size=\"21777408\"] \n  11 -> 16 [size =\"21777408\"]\n  11 -> 17 [size =\"21777408\"]\n  11 -> 20 [size =\"21777408\"]\n  12 [size=\"45680640\", alpha=\"0.12\", expect_size=\"18272256\"] \n  12 -> 19 [size =\"18272256\"]\n  12 -> 20 [size =\"18272256\"]\n  13 [size=\"28646400\", alpha=\"0.13\", expect_size=\"11458560\"] \n  13 -> 18 [size =\"11458560\"]\n  13 -> 19 [size =\"11458560\"]\n  14 [size=\"126141440\", alpha=\"0.20\", expect_size=\"50456576\"] \n  14 -> 20 [size =\"50456576\"]\n  14 -> 21 [size =\"50456576\"]\n  15 [size=\"13391360\", alpha=\"0.04\", expect_size=\"5356544\"] \n  16 [size=\"31823360\", alpha=\"0.07\", expect_size=\"12729344\"] \n  16 -> 22 [size =\"12729344\"]\n  16 -> 23 [size =\"12729344\"]\n  16 -> 25 [size =\"12729344\"]\n  16 -> 27 [size =\"12729344\"]\n  17 [size=\"111360000\", alpha=\"0.07\", expect_size=\"44544000\"] \n  17 -> 23 [size =\"44544000\"]\n  17 -> 24 [size =\"44544000\"]\n  17 -> 25 [size =\"44544000\"]\n  18 [size=\"83909120\", alpha=\"0.17\", expect_size=\"33563648\"] \n  18 -> 24 [size =\"33563648\"]\n  18 -> 26 [size =\"33563648\"]\n  19 [size=\"88724480\", alpha=\"0.05\", expect_size=\"35489792\"] \n  19 -> 22 [size =\"35489792\"]\n  19 -> 24 [size =\"35489792\"]\n  20 [size=\"68666880\", alpha=\"0.02\", expect_size=\"27466752\"] \n  20 -> 22 [size =\"27466752\"]\n  20 -> 26 [size =\"27466752\"]\n  21 [size=\"65251840\", alpha=\"0.13\", expect_size=\"26100736\"] \n  21 -> 25 [size =\"26100736\"]\n  21 -> 26 [size =\"26100736\"]\n  22 [size=\"113735680\", alpha=\"0.09\", expect_size=\"45494272\"] \n  22 -> 29 [size =\"45494272\"]\n  22 -> 30 [size =\"45494272\"]\n  22 -> 32 [size =\"45494272\"]\n  23 [size=\"67077120\", alpha=\"0.11\", expect_size=\"26830848\"] \n  23 -> 30 [size =\"26830848\"]\n  23 -> 32 [size =\"26830848\"]\n  23 -> 33 [size =\"26830848\"]\n  24 [size=\"25589760\", alpha=\"0.05\", expect_size=\"10235904\"] \n  24 -> 32 [size =\"10235904\"]\n  24 -> 33 [size =\"10235904\"]\n  25 [size=\"24332800\", alpha=\"0.00\", expect_size=\"9733120\"] \n  25 -> 29 [size =\"9733120\"]\n  26 [size=\"46714880\", alpha=\"0.18\", expect_size=\"18685952\"] \n  26 -> 30 [size =\"18685952\"]\n  26 -> 31 [size =\"18685952\"]\n  27 [size=\"88616960\", alpha=\"0.13\", expect_size=\"35446784\"] \n  27 -> 28 [size =\"35446784\"]\n  27 -> 31 [size =\"35446784\"]\n  28 [size=\"130854400\", alpha=\"0.08\", expect_size=\"52341760\"] \n  28 -> 35 [size =\"52341760\"]\n  28 -> 38 [size =\"52341760\"]\n  29 [size=\"112768000\", alpha=\"0.12\", expect_size=\"45107200\"] \n  29 -> 35 [size =\"45107200\"]\n  30 [size=\"23244800\", alpha=\"0.03\", expect_size=\"9297920\"] \n  30 -> 34 [size =\"9297920\"]\n  30 -> 37 [size =\"9297920\"]\n  31 [size=\"34536960\", alpha=\"0.01\", expect_size=\"13814784\"] \n  31 -> 34 [size =\"13814784\"]\n  31 -> 35 [size =\"13814784\"]\n  31 -> 37 [size =\"13814784\"]\n  32 [size=\"111242240\", alpha=\"0.05\", expect_size=\"44496896\"] \n  33 [size=\"44738560\", alpha=\"0.11\", expect_size=\"17895424\"] \n  33 -> 36 [size =\"17895424\"]\n  33 -> 37 [size =\"17895424\"]\n  34 [size=\"109839360\", alpha=\"0.16\", expect_size=\"43935744\"] \n  34 -> 39 [size =\"43935744\"]\n  35 [size=\"23815680\", alpha=\"0.02\", expect_size=\"9526272\"] \n  35 -> 41 [size =\"9526272\"]\n  35 -> 42 [size =\"9526272\"]\n  36 [size=\"24990720\", alpha=\"0.10\", expect_size=\"9996288\"] \n  36 -> 40 [size =\"9996288\"]\n  36 -> 42 [size =\"9996288\"]\n  37 [size=\"13816320\", alpha=\"0.15\", expect_size=\"5526528\"] \n  37 -> 39 [size =\"5526528\"]\n  37 -> 40 [size =\"5526528\"]\n  37 -> 41 [size =\"5526528\"]\n  37 -> 42 [size =\"5526528\"]\n  37 -> 43 [size =\"5526528\"]\n  38 [size=\"88512000\", alpha=\"0.13\", expect_size=\"35404800\"] \n  38 -> 39 [size =\"35404800\"]\n  39 [size=\"17328640\", alpha=\"0.03\", expect_size=\"6931456\"] \n  39 -> 45 [size =\"6931456\"]\n  40 [size=\"90030080\", alpha=\"0.02\", expect_size=\"36012032\"] \n  40 -> 45 [size =\"36012032\"]\n  41 [size=\"109524480\", alpha=\"0.10\", expect_size=\"43809792\"] \n  41 -> 44 [size =\"43809792\"]\n  42 [size=\"117145600\", alpha=\"0.16\", expect_size=\"46858240\"] \n  43 [size=\"27507200\", alpha=\"0.10\", expect_size=\"11002880\"] \n  44 [size=\"92080640\", alpha=\"0.07\", expect_size=\"36832256\"] \n  45 [size=\"70003200\", alpha=\"0.05\", expect_size=\"28001280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110950400\", alpha=\"0.01\", expect_size=\"33285120\"] \n  1 -> 15 [size =\"33285120\"]\n  1 -> 17 [size =\"33285120\"]\n  1 -> 20 [size =\"33285120\"]\n  1 -> 21 [size =\"33285120\"]\n  1 -> 24 [size =\"33285120\"]\n  2 [size=\"100816213\", alpha=\"0.19\", expect_size=\"30244864\"] \n  2 -> 16 [size =\"30244864\"]\n  2 -> 17 [size =\"30244864\"]\n  2 -> 24 [size =\"30244864\"]\n  3 [size=\"91849387\", alpha=\"0.09\", expect_size=\"27554816\"] \n  3 -> 21 [size =\"27554816\"]\n  3 -> 24 [size =\"27554816\"]\n  3 -> 27 [size =\"27554816\"]\n  3 -> 28 [size =\"27554816\"]\n  4 [size=\"73205760\", alpha=\"0.04\", expect_size=\"21961728\"] \n  4 -> 15 [size =\"21961728\"]\n  4 -> 16 [size =\"21961728\"]\n  4 -> 17 [size =\"21961728\"]\n  4 -> 21 [size =\"21961728\"]\n  4 -> 22 [size =\"21961728\"]\n  4 -> 24 [size =\"21961728\"]\n  4 -> 25 [size =\"21961728\"]\n  4 -> 27 [size =\"21961728\"]\n  5 [size=\"32484693\", alpha=\"0.14\", expect_size=\"9745408\"] \n  5 -> 20 [size =\"9745408\"]\n  5 -> 24 [size =\"9745408\"]\n  5 -> 25 [size =\"9745408\"]\n  6 [size=\"148797440\", alpha=\"0.09\", expect_size=\"44639232\"] \n  6 -> 16 [size =\"44639232\"]\n  6 -> 17 [size =\"44639232\"]\n  6 -> 24 [size =\"44639232\"]\n  6 -> 25 [size =\"44639232\"]\n  7 [size=\"67669333\", alpha=\"0.17\", expect_size=\"20300800\"] \n  7 -> 16 [size =\"20300800\"]\n  7 -> 20 [size =\"20300800\"]\n  7 -> 24 [size =\"20300800\"]\n  7 -> 25 [size =\"20300800\"]\n  7 -> 26 [size =\"20300800\"]\n  8 [size=\"114377387\", alpha=\"0.19\", expect_size=\"34313216\"] \n  8 -> 16 [size =\"34313216\"]\n  8 -> 20 [size =\"34313216\"]\n  8 -> 24 [size =\"34313216\"]\n  8 -> 25 [size =\"34313216\"]\n  8 -> 26 [size =\"34313216\"]\n  9 [size=\"64034133\", alpha=\"0.18\", expect_size=\"19210240\"] \n  9 -> 15 [size =\"19210240\"]\n  9 -> 16 [size =\"19210240\"]\n  9 -> 20 [size =\"19210240\"]\n  9 -> 23 [size =\"19210240\"]\n  9 -> 24 [size =\"19210240\"]\n  9 -> 26 [size =\"19210240\"]\n  9 -> 27 [size =\"19210240\"]\n  10 [size=\"152808107\", alpha=\"0.15\", expect_size=\"45842432\"] \n  10 -> 15 [size =\"45842432\"]\n  10 -> 16 [size =\"45842432\"]\n  10 -> 17 [size =\"45842432\"]\n  10 -> 20 [size =\"45842432\"]\n  10 -> 21 [size =\"45842432\"]\n  11 [size=\"132416853\", alpha=\"0.16\", expect_size=\"39725056\"] \n  11 -> 18 [size =\"39725056\"]\n  11 -> 27 [size =\"39725056\"]\n  12 [size=\"140032000\", alpha=\"0.14\", expect_size=\"42009600\"] \n  12 -> 16 [size =\"42009600\"]\n  12 -> 20 [size =\"42009600\"]\n  12 -> 24 [size =\"42009600\"]\n  12 -> 25 [size =\"42009600\"]\n  13 [size=\"133765120\", alpha=\"0.03\", expect_size=\"40129536\"] \n  13 -> 20 [size =\"40129536\"]\n  13 -> 21 [size =\"40129536\"]\n  13 -> 25 [size =\"40129536\"]\n  13 -> 26 [size =\"40129536\"]\n  13 -> 27 [size =\"40129536\"]\n  14 [size=\"46151680\", alpha=\"0.20\", expect_size=\"13845504\"] \n  14 -> 18 [size =\"13845504\"]\n  14 -> 19 [size =\"13845504\"]\n  14 -> 20 [size =\"13845504\"]\n  14 -> 21 [size =\"13845504\"]\n  14 -> 25 [size =\"13845504\"]\n  14 -> 26 [size =\"13845504\"]\n  15 [size=\"80390827\", alpha=\"0.12\", expect_size=\"24117248\"] \n  15 -> 33 [size =\"24117248\"]\n  15 -> 35 [size =\"24117248\"]\n  15 -> 37 [size =\"24117248\"]\n  15 -> 38 [size =\"24117248\"]\n  15 -> 39 [size =\"24117248\"]\n  16 [size=\"32262827\", alpha=\"0.18\", expect_size=\"9678848\"] \n  16 -> 29 [size =\"9678848\"]\n  16 -> 31 [size =\"9678848\"]\n  16 -> 34 [size =\"9678848\"]\n  16 -> 35 [size =\"9678848\"]\n  16 -> 37 [size =\"9678848\"]\n  16 -> 39 [size =\"9678848\"]\n  16 -> 40 [size =\"9678848\"]\n  16 -> 41 [size =\"9678848\"]\n  17 [size=\"102475093\", alpha=\"0.13\", expect_size=\"30742528\"] \n  17 -> 30 [size =\"30742528\"]\n  17 -> 32 [size =\"30742528\"]\n  17 -> 33 [size =\"30742528\"]\n  17 -> 35 [size =\"30742528\"]\n  17 -> 37 [size =\"30742528\"]\n  17 -> 39 [size =\"30742528\"]\n  18 [size=\"80592213\", alpha=\"0.09\", expect_size=\"24177664\"] \n  18 -> 33 [size =\"24177664\"]\n  18 -> 35 [size =\"24177664\"]\n  18 -> 37 [size =\"24177664\"]\n  18 -> 39 [size =\"24177664\"]\n  19 [size=\"70867627\", alpha=\"0.04\", expect_size=\"21260288\"] \n  19 -> 29 [size =\"21260288\"]\n  19 -> 31 [size =\"21260288\"]\n  19 -> 34 [size =\"21260288\"]\n  19 -> 35 [size =\"21260288\"]\n  19 -> 39 [size =\"21260288\"]\n  19 -> 43 [size =\"21260288\"]\n  20 [size=\"56077653\", alpha=\"0.09\", expect_size=\"16823296\"] \n  20 -> 29 [size =\"16823296\"]\n  20 -> 36 [size =\"16823296\"]\n  20 -> 39 [size =\"16823296\"]\n  20 -> 41 [size =\"16823296\"]\n  20 -> 42 [size =\"16823296\"]\n  20 -> 43 [size =\"16823296\"]\n  21 [size=\"172288000\", alpha=\"0.05\", expect_size=\"51686400\"] \n  21 -> 31 [size =\"51686400\"]\n  21 -> 33 [size =\"51686400\"]\n  21 -> 34 [size =\"51686400\"]\n  21 -> 39 [size =\"51686400\"]\n  21 -> 40 [size =\"51686400\"]\n  21 -> 41 [size =\"51686400\"]\n  21 -> 42 [size =\"51686400\"]\n  22 [size=\"137482240\", alpha=\"0.13\", expect_size=\"41244672\"] \n  22 -> 29 [size =\"41244672\"]\n  22 -> 32 [size =\"41244672\"]\n  22 -> 33 [size =\"41244672\"]\n  22 -> 35 [size =\"41244672\"]\n  22 -> 37 [size =\"41244672\"]\n  22 -> 41 [size =\"41244672\"]\n  23 [size=\"93709653\", alpha=\"0.09\", expect_size=\"28112896\"] \n  23 -> 29 [size =\"28112896\"]\n  23 -> 34 [size =\"28112896\"]\n  23 -> 35 [size =\"28112896\"]\n  23 -> 37 [size =\"28112896\"]\n  23 -> 38 [size =\"28112896\"]\n  23 -> 41 [size =\"28112896\"]\n  24 [size=\"115613013\", alpha=\"0.13\", expect_size=\"34683904\"] \n  24 -> 31 [size =\"34683904\"]\n  24 -> 34 [size =\"34683904\"]\n  24 -> 35 [size =\"34683904\"]\n  24 -> 41 [size =\"34683904\"]\n  24 -> 44 [size =\"34683904\"]\n  25 [size=\"111960747\", alpha=\"0.19\", expect_size=\"33588224\"] \n  25 -> 33 [size =\"33588224\"]\n  25 -> 35 [size =\"33588224\"]\n  25 -> 41 [size =\"33588224\"]\n  25 -> 41 [size =\"33588224\"]\n  26 [size=\"49725440\", alpha=\"0.01\", expect_size=\"14917632\"] \n  26 -> 34 [size =\"14917632\"]\n  26 -> 36 [size =\"14917632\"]\n  26 -> 37 [size =\"14917632\"]\n  27 [size=\"30095360\", alpha=\"0.10\", expect_size=\"9028608\"] \n  27 -> 29 [size =\"9028608\"]\n  27 -> 32 [size =\"9028608\"]\n  27 -> 37 [size =\"9028608\"]\n  27 -> 39 [size =\"9028608\"]\n  27 -> 41 [size =\"9028608\"]\n  28 [size=\"133263360\", alpha=\"0.11\", expect_size=\"39979008\"] \n  28 -> 29 [size =\"39979008\"]\n  28 -> 31 [size =\"39979008\"]\n  28 -> 33 [size =\"39979008\"]\n  28 -> 37 [size =\"39979008\"]\n  28 -> 39 [size =\"39979008\"]\n  28 -> 40 [size =\"39979008\"]\n  28 -> 41 [size =\"39979008\"]\n  29 [size=\"50274987\", alpha=\"0.18\", expect_size=\"15082496\"] \n  30 [size=\"81148587\", alpha=\"0.03\", expect_size=\"24344576\"] \n  31 [size=\"149643947\", alpha=\"0.01\", expect_size=\"44893184\"] \n  32 [size=\"34665813\", alpha=\"0.16\", expect_size=\"10399744\"] \n  33 [size=\"134126933\", alpha=\"0.05\", expect_size=\"40238080\"] \n  34 [size=\"50541227\", alpha=\"0.18\", expect_size=\"15162368\"] \n  35 [size=\"154214400\", alpha=\"0.19\", expect_size=\"46264320\"] \n  35 -> 45 [size =\"46264320\"]\n  36 [size=\"145585493\", alpha=\"0.02\", expect_size=\"43675648\"] \n  37 [size=\"155972267\", alpha=\"0.15\", expect_size=\"46791680\"] \n  38 [size=\"78288213\", alpha=\"0.17\", expect_size=\"23486464\"] \n  39 [size=\"166720853\", alpha=\"0.05\", expect_size=\"50016256\"] \n  40 [size=\"153258667\", alpha=\"0.18\", expect_size=\"45977600\"] \n  41 [size=\"173236907\", alpha=\"0.11\", expect_size=\"51971072\"] \n  41 -> 45 [size =\"51971072\"]\n  42 [size=\"27023360\", alpha=\"0.20\", expect_size=\"8107008\"] \n  43 [size=\"151746560\", alpha=\"0.18\", expect_size=\"45523968\"] \n  44 [size=\"34556587\", alpha=\"0.08\", expect_size=\"10366976\"] \n  44 -> 45 [size =\"10366976\"]\n  45 [size=\"18698240\", alpha=\"0.11\", expect_size=\"5609472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62658560\", alpha=\"0.20\", expect_size=\"31329280\"] \n  1 -> 11 [size =\"31329280\"]\n  1 -> 12 [size =\"31329280\"]\n  2 [size=\"80312320\", alpha=\"0.09\", expect_size=\"40156160\"] \n  2 -> 11 [size =\"40156160\"]\n  2 -> 12 [size =\"40156160\"]\n  3 [size=\"87771136\", alpha=\"0.09\", expect_size=\"43885568\"] \n  3 -> 8 [size =\"43885568\"]\n  3 -> 11 [size =\"43885568\"]\n  3 -> 12 [size =\"43885568\"]\n  4 [size=\"25004032\", alpha=\"0.03\", expect_size=\"12502016\"] \n  4 -> 9 [size =\"12502016\"]\n  4 -> 10 [size =\"12502016\"]\n  5 [size=\"96632832\", alpha=\"0.04\", expect_size=\"48316416\"] \n  5 -> 7 [size =\"48316416\"]\n  5 -> 9 [size =\"48316416\"]\n  5 -> 10 [size =\"48316416\"]\n  5 -> 11 [size =\"48316416\"]\n  6 [size=\"59518976\", alpha=\"0.11\", expect_size=\"29759488\"] \n  6 -> 9 [size =\"29759488\"]\n  7 [size=\"32360448\", alpha=\"0.10\", expect_size=\"16180224\"] \n  7 -> 15 [size =\"16180224\"]\n  7 -> 17 [size =\"16180224\"]\n  7 -> 17 [size =\"16180224\"]\n  8 [size=\"90363904\", alpha=\"0.05\", expect_size=\"45181952\"] \n  8 -> 15 [size =\"45181952\"]\n  8 -> 16 [size =\"45181952\"]\n  8 -> 18 [size =\"45181952\"]\n  9 [size=\"75294720\", alpha=\"0.15\", expect_size=\"37647360\"] \n  9 -> 16 [size =\"37647360\"]\n  9 -> 18 [size =\"37647360\"]\n  10 [size=\"71612416\", alpha=\"0.11\", expect_size=\"35806208\"] \n  10 -> 17 [size =\"35806208\"]\n  11 [size=\"82776064\", alpha=\"0.03\", expect_size=\"41388032\"] \n  11 -> 13 [size =\"41388032\"]\n  11 -> 14 [size =\"41388032\"]\n  11 -> 15 [size =\"41388032\"]\n  11 -> 16 [size =\"41388032\"]\n  12 [size=\"81821696\", alpha=\"0.08\", expect_size=\"40910848\"] \n  12 -> 15 [size =\"40910848\"]\n  12 -> 16 [size =\"40910848\"]\n  12 -> 17 [size =\"40910848\"]\n  13 [size=\"30453760\", alpha=\"0.01\", expect_size=\"15226880\"] \n  13 -> 20 [size =\"15226880\"]\n  13 -> 21 [size =\"15226880\"]\n  13 -> 22 [size =\"15226880\"]\n  14 [size=\"73496576\", alpha=\"0.12\", expect_size=\"36748288\"] \n  14 -> 19 [size =\"36748288\"]\n  14 -> 20 [size =\"36748288\"]\n  14 -> 21 [size =\"36748288\"]\n  15 [size=\"88190976\", alpha=\"0.14\", expect_size=\"44095488\"] \n  15 -> 21 [size =\"44095488\"]\n  16 [size=\"14716928\", alpha=\"0.20\", expect_size=\"7358464\"] \n  16 -> 23 [size =\"7358464\"]\n  17 [size=\"68597760\", alpha=\"0.06\", expect_size=\"34298880\"] \n  17 -> 21 [size =\"34298880\"]\n  17 -> 24 [size =\"34298880\"]\n  18 [size=\"19218432\", alpha=\"0.19\", expect_size=\"9609216\"] \n  18 -> 22 [size =\"9609216\"]\n  19 [size=\"43497472\", alpha=\"0.11\", expect_size=\"21748736\"] \n  19 -> 27 [size =\"21748736\"]\n  20 [size=\"21518336\", alpha=\"0.12\", expect_size=\"10759168\"] \n  20 -> 25 [size =\"10759168\"]\n  21 [size=\"72167424\", alpha=\"0.04\", expect_size=\"36083712\"] \n  21 -> 28 [size =\"36083712\"]\n  21 -> 29 [size =\"36083712\"]\n  21 -> 30 [size =\"36083712\"]\n  22 [size=\"87762944\", alpha=\"0.11\", expect_size=\"43881472\"] \n  22 -> 25 [size =\"43881472\"]\n  22 -> 26 [size =\"43881472\"]\n  22 -> 27 [size =\"43881472\"]\n  23 [size=\"32055296\", alpha=\"0.14\", expect_size=\"16027648\"] \n  23 -> 25 [size =\"16027648\"]\n  23 -> 26 [size =\"16027648\"]\n  23 -> 27 [size =\"16027648\"]\n  24 [size=\"36339712\", alpha=\"0.00\", expect_size=\"18169856\"] \n  24 -> 26 [size =\"18169856\"]\n  24 -> 26 [size =\"18169856\"]\n  25 [size=\"95264768\", alpha=\"0.05\", expect_size=\"47632384\"] \n  25 -> 33 [size =\"47632384\"]\n  25 -> 35 [size =\"47632384\"]\n  26 [size=\"64843776\", alpha=\"0.00\", expect_size=\"32421888\"] \n  26 -> 31 [size =\"32421888\"]\n  26 -> 33 [size =\"32421888\"]\n  26 -> 34 [size =\"32421888\"]\n  27 [size=\"64446464\", alpha=\"0.20\", expect_size=\"32223232\"] \n  27 -> 31 [size =\"32223232\"]\n  27 -> 32 [size =\"32223232\"]\n  27 -> 34 [size =\"32223232\"]\n  28 [size=\"94900224\", alpha=\"0.16\", expect_size=\"47450112\"] \n  28 -> 32 [size =\"47450112\"]\n  29 [size=\"90925056\", alpha=\"0.07\", expect_size=\"45462528\"] \n  29 -> 35 [size =\"45462528\"]\n  30 [size=\"46622720\", alpha=\"0.10\", expect_size=\"23311360\"] \n  30 -> 31 [size =\"23311360\"]\n  30 -> 34 [size =\"23311360\"]\n  31 [size=\"101713920\", alpha=\"0.09\", expect_size=\"50856960\"] \n  31 -> 37 [size =\"50856960\"]\n  31 -> 39 [size =\"50856960\"]\n  32 [size=\"25255936\", alpha=\"0.02\", expect_size=\"12627968\"] \n  32 -> 37 [size =\"12627968\"]\n  32 -> 41 [size =\"12627968\"]\n  33 [size=\"75823104\", alpha=\"0.00\", expect_size=\"37911552\"] \n  33 -> 40 [size =\"37911552\"]\n  34 [size=\"47583232\", alpha=\"0.11\", expect_size=\"23791616\"] \n  34 -> 36 [size =\"23791616\"]\n  34 -> 38 [size =\"23791616\"]\n  34 -> 39 [size =\"23791616\"]\n  34 -> 40 [size =\"23791616\"]\n  34 -> 41 [size =\"23791616\"]\n  35 [size=\"49428480\", alpha=\"0.19\", expect_size=\"24714240\"] \n  35 -> 36 [size =\"24714240\"]\n  35 -> 37 [size =\"24714240\"]\n  35 -> 38 [size =\"24714240\"]\n  35 -> 39 [size =\"24714240\"]\n  35 -> 40 [size =\"24714240\"]\n  36 [size=\"73136128\", alpha=\"0.08\", expect_size=\"36568064\"] \n  36 -> 42 [size =\"36568064\"]\n  36 -> 44 [size =\"36568064\"]\n  37 [size=\"73367552\", alpha=\"0.09\", expect_size=\"36683776\"] \n  38 [size=\"71999488\", alpha=\"0.12\", expect_size=\"35999744\"] \n  39 [size=\"54538240\", alpha=\"0.02\", expect_size=\"27269120\"] \n  39 -> 42 [size =\"27269120\"]\n  39 -> 43 [size =\"27269120\"]\n  40 [size=\"85796864\", alpha=\"0.14\", expect_size=\"42898432\"] \n  40 -> 45 [size =\"42898432\"]\n  41 [size=\"38154240\", alpha=\"0.19\", expect_size=\"19077120\"] \n  42 [size=\"78278656\", alpha=\"0.01\", expect_size=\"39139328\"] \n  43 [size=\"88764416\", alpha=\"0.07\", expect_size=\"44382208\"] \n  44 [size=\"89575424\", alpha=\"0.18\", expect_size=\"44787712\"] \n  45 [size=\"49356800\", alpha=\"0.08\", expect_size=\"24678400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101824000\", alpha=\"0.11\", expect_size=\"40729600\"] \n  1 -> 29 [size =\"40729600\"]\n  1 -> 30 [size =\"40729600\"]\n  1 -> 34 [size =\"40729600\"]\n  1 -> 37 [size =\"40729600\"]\n  1 -> 41 [size =\"40729600\"]\n  1 -> 44 [size =\"40729600\"]\n  1 -> 45 [size =\"40729600\"]\n  2 [size=\"48967680\", alpha=\"0.08\", expect_size=\"19587072\"] \n  2 -> 29 [size =\"19587072\"]\n  2 -> 36 [size =\"19587072\"]\n  2 -> 38 [size =\"19587072\"]\n  2 -> 39 [size =\"19587072\"]\n  2 -> 41 [size =\"19587072\"]\n  3 [size=\"58408960\", alpha=\"0.01\", expect_size=\"23363584\"] \n  3 -> 30 [size =\"23363584\"]\n  3 -> 33 [size =\"23363584\"]\n  3 -> 34 [size =\"23363584\"]\n  3 -> 37 [size =\"23363584\"]\n  3 -> 39 [size =\"23363584\"]\n  3 -> 41 [size =\"23363584\"]\n  3 -> 45 [size =\"23363584\"]\n  4 [size=\"37798400\", alpha=\"0.15\", expect_size=\"15119360\"] \n  4 -> 31 [size =\"15119360\"]\n  4 -> 33 [size =\"15119360\"]\n  4 -> 36 [size =\"15119360\"]\n  4 -> 38 [size =\"15119360\"]\n  4 -> 39 [size =\"15119360\"]\n  4 -> 42 [size =\"15119360\"]\n  4 -> 43 [size =\"15119360\"]\n  4 -> 44 [size =\"15119360\"]\n  5 [size=\"103513600\", alpha=\"0.11\", expect_size=\"41405440\"] \n  5 -> 30 [size =\"41405440\"]\n  5 -> 31 [size =\"41405440\"]\n  5 -> 33 [size =\"41405440\"]\n  5 -> 42 [size =\"41405440\"]\n  5 -> 43 [size =\"41405440\"]\n  5 -> 44 [size =\"41405440\"]\n  6 [size=\"100055040\", alpha=\"0.03\", expect_size=\"40022016\"] \n  6 -> 33 [size =\"40022016\"]\n  6 -> 37 [size =\"40022016\"]\n  6 -> 38 [size =\"40022016\"]\n  6 -> 41 [size =\"40022016\"]\n  6 -> 42 [size =\"40022016\"]\n  6 -> 44 [size =\"40022016\"]\n  7 [size=\"53747200\", alpha=\"0.09\", expect_size=\"21498880\"] \n  7 -> 33 [size =\"21498880\"]\n  7 -> 34 [size =\"21498880\"]\n  7 -> 37 [size =\"21498880\"]\n  7 -> 38 [size =\"21498880\"]\n  7 -> 39 [size =\"21498880\"]\n  7 -> 42 [size =\"21498880\"]\n  7 -> 44 [size =\"21498880\"]\n  8 [size=\"100846080\", alpha=\"0.09\", expect_size=\"40338432\"] \n  8 -> 33 [size =\"40338432\"]\n  8 -> 37 [size =\"40338432\"]\n  8 -> 41 [size =\"40338432\"]\n  8 -> 42 [size =\"40338432\"]\n  8 -> 44 [size =\"40338432\"]\n  8 -> 45 [size =\"40338432\"]\n  9 [size=\"129651200\", alpha=\"0.01\", expect_size=\"51860480\"] \n  9 -> 29 [size =\"51860480\"]\n  9 -> 30 [size =\"51860480\"]\n  9 -> 31 [size =\"51860480\"]\n  9 -> 33 [size =\"51860480\"]\n  9 -> 34 [size =\"51860480\"]\n  9 -> 37 [size =\"51860480\"]\n  9 -> 42 [size =\"51860480\"]\n  9 -> 43 [size =\"51860480\"]\n  9 -> 44 [size =\"51860480\"]\n  10 [size=\"39915520\", alpha=\"0.09\", expect_size=\"15966208\"] \n  10 -> 33 [size =\"15966208\"]\n  10 -> 35 [size =\"15966208\"]\n  10 -> 39 [size =\"15966208\"]\n  10 -> 42 [size =\"15966208\"]\n  11 [size=\"18588160\", alpha=\"0.18\", expect_size=\"7435264\"] \n  11 -> 31 [size =\"7435264\"]\n  11 -> 33 [size =\"7435264\"]\n  11 -> 35 [size =\"7435264\"]\n  11 -> 39 [size =\"7435264\"]\n  11 -> 42 [size =\"7435264\"]\n  11 -> 44 [size =\"7435264\"]\n  12 [size=\"85345280\", alpha=\"0.17\", expect_size=\"34138112\"] \n  12 -> 31 [size =\"34138112\"]\n  12 -> 33 [size =\"34138112\"]\n  12 -> 37 [size =\"34138112\"]\n  12 -> 39 [size =\"34138112\"]\n  12 -> 43 [size =\"34138112\"]\n  12 -> 44 [size =\"34138112\"]\n  13 [size=\"13332480\", alpha=\"0.20\", expect_size=\"5332992\"] \n  13 -> 33 [size =\"5332992\"]\n  13 -> 42 [size =\"5332992\"]\n  13 -> 44 [size =\"5332992\"]\n  14 [size=\"19023360\", alpha=\"0.03\", expect_size=\"7609344\"] \n  14 -> 33 [size =\"7609344\"]\n  14 -> 37 [size =\"7609344\"]\n  14 -> 41 [size =\"7609344\"]\n  14 -> 42 [size =\"7609344\"]\n  15 [size=\"109672960\", alpha=\"0.00\", expect_size=\"43869184\"] \n  15 -> 31 [size =\"43869184\"]\n  15 -> 33 [size =\"43869184\"]\n  15 -> 35 [size =\"43869184\"]\n  15 -> 36 [size =\"43869184\"]\n  15 -> 41 [size =\"43869184\"]\n  15 -> 44 [size =\"43869184\"]\n  16 [size=\"56422400\", alpha=\"0.15\", expect_size=\"22568960\"] \n  16 -> 29 [size =\"22568960\"]\n  16 -> 32 [size =\"22568960\"]\n  16 -> 34 [size =\"22568960\"]\n  16 -> 36 [size =\"22568960\"]\n  16 -> 41 [size =\"22568960\"]\n  16 -> 44 [size =\"22568960\"]\n  16 -> 45 [size =\"22568960\"]\n  17 [size=\"71808000\", alpha=\"0.13\", expect_size=\"28723200\"] \n  17 -> 29 [size =\"28723200\"]\n  17 -> 34 [size =\"28723200\"]\n  17 -> 42 [size =\"28723200\"]\n  18 [size=\"124070400\", alpha=\"0.07\", expect_size=\"49628160\"] \n  18 -> 29 [size =\"49628160\"]\n  18 -> 33 [size =\"49628160\"]\n  18 -> 39 [size =\"49628160\"]\n  18 -> 40 [size =\"49628160\"]\n  19 [size=\"59489280\", alpha=\"0.07\", expect_size=\"23795712\"] \n  19 -> 29 [size =\"23795712\"]\n  19 -> 31 [size =\"23795712\"]\n  19 -> 32 [size =\"23795712\"]\n  19 -> 33 [size =\"23795712\"]\n  19 -> 38 [size =\"23795712\"]\n  20 [size=\"64081920\", alpha=\"0.03\", expect_size=\"25632768\"] \n  20 -> 29 [size =\"25632768\"]\n  20 -> 34 [size =\"25632768\"]\n  20 -> 39 [size =\"25632768\"]\n  20 -> 41 [size =\"25632768\"]\n  20 -> 42 [size =\"25632768\"]\n  21 [size=\"119618560\", alpha=\"0.15\", expect_size=\"47847424\"] \n  21 -> 29 [size =\"47847424\"]\n  21 -> 33 [size =\"47847424\"]\n  21 -> 34 [size =\"47847424\"]\n  21 -> 39 [size =\"47847424\"]\n  21 -> 40 [size =\"47847424\"]\n  22 [size=\"108111360\", alpha=\"0.13\", expect_size=\"43244544\"] \n  22 -> 31 [size =\"43244544\"]\n  22 -> 34 [size =\"43244544\"]\n  22 -> 37 [size =\"43244544\"]\n  22 -> 39 [size =\"43244544\"]\n  22 -> 42 [size =\"43244544\"]\n  22 -> 44 [size =\"43244544\"]\n  22 -> 45 [size =\"43244544\"]\n  23 [size=\"89159680\", alpha=\"0.18\", expect_size=\"35663872\"] \n  23 -> 33 [size =\"35663872\"]\n  23 -> 37 [size =\"35663872\"]\n  23 -> 37 [size =\"35663872\"]\n  23 -> 38 [size =\"35663872\"]\n  23 -> 41 [size =\"35663872\"]\n  23 -> 42 [size =\"35663872\"]\n  23 -> 45 [size =\"35663872\"]\n  24 [size=\"86453760\", alpha=\"0.08\", expect_size=\"34581504\"] \n  24 -> 29 [size =\"34581504\"]\n  24 -> 31 [size =\"34581504\"]\n  24 -> 32 [size =\"34581504\"]\n  24 -> 38 [size =\"34581504\"]\n  24 -> 41 [size =\"34581504\"]\n  24 -> 42 [size =\"34581504\"]\n  24 -> 43 [size =\"34581504\"]\n  24 -> 44 [size =\"34581504\"]\n  25 [size=\"101841920\", alpha=\"0.13\", expect_size=\"40736768\"] \n  25 -> 29 [size =\"40736768\"]\n  25 -> 33 [size =\"40736768\"]\n  25 -> 35 [size =\"40736768\"]\n  25 -> 37 [size =\"40736768\"]\n  26 [size=\"104773120\", alpha=\"0.12\", expect_size=\"41909248\"] \n  26 -> 29 [size =\"41909248\"]\n  26 -> 33 [size =\"41909248\"]\n  26 -> 34 [size =\"41909248\"]\n  26 -> 37 [size =\"41909248\"]\n  26 -> 45 [size =\"41909248\"]\n  27 [size=\"76940800\", alpha=\"0.19\", expect_size=\"30776320\"] \n  27 -> 29 [size =\"30776320\"]\n  27 -> 32 [size =\"30776320\"]\n  27 -> 41 [size =\"30776320\"]\n  27 -> 42 [size =\"30776320\"]\n  27 -> 44 [size =\"30776320\"]\n  27 -> 45 [size =\"30776320\"]\n  28 [size=\"34874880\", alpha=\"0.00\", expect_size=\"13949952\"] \n  28 -> 29 [size =\"13949952\"]\n  28 -> 37 [size =\"13949952\"]\n  28 -> 42 [size =\"13949952\"]\n  29 [size=\"74920960\", alpha=\"0.02\", expect_size=\"29968384\"] \n  30 [size=\"114928640\", alpha=\"0.07\", expect_size=\"45971456\"] \n  31 [size=\"16949760\", alpha=\"0.14\", expect_size=\"6779904\"] \n  32 [size=\"105630720\", alpha=\"0.13\", expect_size=\"42252288\"] \n  33 [size=\"62942720\", alpha=\"0.12\", expect_size=\"25177088\"] \n  34 [size=\"52149760\", alpha=\"0.12\", expect_size=\"20859904\"] \n  35 [size=\"97945600\", alpha=\"0.08\", expect_size=\"39178240\"] \n  36 [size=\"54807040\", alpha=\"0.12\", expect_size=\"21922816\"] \n  37 [size=\"127649280\", alpha=\"0.05\", expect_size=\"51059712\"] \n  38 [size=\"121182720\", alpha=\"0.18\", expect_size=\"48473088\"] \n  39 [size=\"123148800\", alpha=\"0.18\", expect_size=\"49259520\"] \n  40 [size=\"14161920\", alpha=\"0.07\", expect_size=\"5664768\"] \n  41 [size=\"56962560\", alpha=\"0.14\", expect_size=\"22785024\"] \n  42 [size=\"21102080\", alpha=\"0.17\", expect_size=\"8440832\"] \n  43 [size=\"96785920\", alpha=\"0.13\", expect_size=\"38714368\"] \n  44 [size=\"48307200\", alpha=\"0.02\", expect_size=\"19322880\"] \n  45 [size=\"117516800\", alpha=\"0.05\", expect_size=\"47006720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63354880\", alpha=\"0.05\", expect_size=\"25341952\"] \n  1 -> 2 [size =\"25341952\"]\n  2 [size=\"35392000\", alpha=\"0.14\", expect_size=\"14156800\"] \n  2 -> 3 [size =\"14156800\"]\n  3 [size=\"33753600\", alpha=\"0.01\", expect_size=\"13501440\"] \n  3 -> 4 [size =\"13501440\"]\n  4 [size=\"90649600\", alpha=\"0.19\", expect_size=\"36259840\"] \n  4 -> 5 [size =\"36259840\"]\n  5 [size=\"20226560\", alpha=\"0.03\", expect_size=\"8090624\"] \n  5 -> 6 [size =\"8090624\"]\n  6 [size=\"61457920\", alpha=\"0.00\", expect_size=\"24583168\"] \n  6 -> 7 [size =\"24583168\"]\n  7 [size=\"119692800\", alpha=\"0.19\", expect_size=\"47877120\"] \n  7 -> 8 [size =\"47877120\"]\n  8 [size=\"110978560\", alpha=\"0.01\", expect_size=\"44391424\"] \n  8 -> 9 [size =\"44391424\"]\n  9 [size=\"99635200\", alpha=\"0.19\", expect_size=\"39854080\"] \n  9 -> 10 [size =\"39854080\"]\n  10 [size=\"95938560\", alpha=\"0.16\", expect_size=\"38375424\"] \n  10 -> 11 [size =\"38375424\"]\n  11 [size=\"17812480\", alpha=\"0.19\", expect_size=\"7124992\"] \n  11 -> 12 [size =\"7124992\"]\n  12 [size=\"46819840\", alpha=\"0.14\", expect_size=\"18727936\"] \n  12 -> 13 [size =\"18727936\"]\n  13 [size=\"128870400\", alpha=\"0.19\", expect_size=\"51548160\"] \n  13 -> 14 [size =\"51548160\"]\n  14 [size=\"15475200\", alpha=\"0.17\", expect_size=\"6190080\"] \n  14 -> 15 [size =\"6190080\"]\n  15 [size=\"126737920\", alpha=\"0.03\", expect_size=\"50695168\"] \n  15 -> 16 [size =\"50695168\"]\n  16 [size=\"27527680\", alpha=\"0.10\", expect_size=\"11011072\"] \n  16 -> 17 [size =\"11011072\"]\n  17 [size=\"30069760\", alpha=\"0.15\", expect_size=\"12027904\"] \n  17 -> 18 [size =\"12027904\"]\n  18 [size=\"24616960\", alpha=\"0.13\", expect_size=\"9846784\"] \n  18 -> 19 [size =\"9846784\"]\n  19 [size=\"29608960\", alpha=\"0.15\", expect_size=\"11843584\"] \n  19 -> 20 [size =\"11843584\"]\n  20 [size=\"21923840\", alpha=\"0.09\", expect_size=\"8769536\"] \n  20 -> 21 [size =\"8769536\"]\n  21 [size=\"113909760\", alpha=\"0.12\", expect_size=\"45563904\"] \n  21 -> 22 [size =\"45563904\"]\n  22 [size=\"106147840\", alpha=\"0.19\", expect_size=\"42459136\"] \n  22 -> 23 [size =\"42459136\"]\n  23 [size=\"71877120\", alpha=\"0.10\", expect_size=\"28750848\"] \n  23 -> 24 [size =\"28750848\"]\n  24 [size=\"67985920\", alpha=\"0.13\", expect_size=\"27194368\"] \n  24 -> 25 [size =\"27194368\"]\n  25 [size=\"53068800\", alpha=\"0.18\", expect_size=\"21227520\"] \n  25 -> 26 [size =\"21227520\"]\n  26 [size=\"72355840\", alpha=\"0.11\", expect_size=\"28942336\"] \n  26 -> 27 [size =\"28942336\"]\n  27 [size=\"14246400\", alpha=\"0.02\", expect_size=\"5698560\"] \n  27 -> 28 [size =\"5698560\"]\n  28 [size=\"104056320\", alpha=\"0.10\", expect_size=\"41622528\"] \n  28 -> 29 [size =\"41622528\"]\n  29 [size=\"65064960\", alpha=\"0.13\", expect_size=\"26025984\"] \n  29 -> 30 [size =\"26025984\"]\n  30 [size=\"32629760\", alpha=\"0.09\", expect_size=\"13051904\"] \n  30 -> 31 [size =\"13051904\"]\n  31 [size=\"86812160\", alpha=\"0.06\", expect_size=\"34724864\"] \n  31 -> 32 [size =\"34724864\"]\n  32 [size=\"41927680\", alpha=\"0.09\", expect_size=\"16771072\"] \n  32 -> 33 [size =\"16771072\"]\n  33 [size=\"38231040\", alpha=\"0.12\", expect_size=\"15292416\"] \n  33 -> 34 [size =\"15292416\"]\n  34 [size=\"96366080\", alpha=\"0.15\", expect_size=\"38546432\"] \n  34 -> 35 [size =\"38546432\"]\n  35 [size=\"57948160\", alpha=\"0.17\", expect_size=\"23179264\"] \n  35 -> 36 [size =\"23179264\"]\n  36 [size=\"48061440\", alpha=\"0.01\", expect_size=\"19224576\"] \n  36 -> 37 [size =\"19224576\"]\n  37 [size=\"115059200\", alpha=\"0.09\", expect_size=\"46023680\"] \n  37 -> 38 [size =\"46023680\"]\n  38 [size=\"129597440\", alpha=\"0.19\", expect_size=\"51838976\"] \n  38 -> 39 [size =\"51838976\"]\n  39 [size=\"71582720\", alpha=\"0.11\", expect_size=\"28633088\"] \n  39 -> 40 [size =\"28633088\"]\n  40 [size=\"27550720\", alpha=\"0.05\", expect_size=\"11020288\"] \n  40 -> 41 [size =\"11020288\"]\n  41 [size=\"80327680\", alpha=\"0.15\", expect_size=\"32131072\"] \n  41 -> 42 [size =\"32131072\"]\n  42 [size=\"116659200\", alpha=\"0.02\", expect_size=\"46663680\"] \n  42 -> 43 [size =\"46663680\"]\n  43 [size=\"52293120\", alpha=\"0.19\", expect_size=\"20917248\"] \n  43 -> 44 [size =\"20917248\"]\n  44 [size=\"120957440\", alpha=\"0.05\", expect_size=\"48382976\"] \n  44 -> 45 [size =\"48382976\"]\n  45 [size=\"89093120\", alpha=\"0.17\", expect_size=\"35637248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73080320\", alpha=\"0.03\", expect_size=\"29232128\"] \n  1 -> 2 [size =\"29232128\"]\n  2 [size=\"88302080\", alpha=\"0.10\", expect_size=\"35320832\"] \n  2 -> 3 [size =\"35320832\"]\n  3 [size=\"86551040\", alpha=\"0.20\", expect_size=\"34620416\"] \n  3 -> 4 [size =\"34620416\"]\n  4 [size=\"106488320\", alpha=\"0.15\", expect_size=\"42595328\"] \n  4 -> 5 [size =\"42595328\"]\n  5 [size=\"63971840\", alpha=\"0.06\", expect_size=\"25588736\"] \n  5 -> 6 [size =\"25588736\"]\n  6 [size=\"40698880\", alpha=\"0.18\", expect_size=\"16279552\"] \n  6 -> 7 [size =\"16279552\"]\n  7 [size=\"106990080\", alpha=\"0.10\", expect_size=\"42796032\"] \n  7 -> 8 [size =\"42796032\"]\n  8 [size=\"117245440\", alpha=\"0.00\", expect_size=\"46898176\"] \n  8 -> 9 [size =\"46898176\"]\n  9 [size=\"57390080\", alpha=\"0.12\", expect_size=\"22956032\"] \n  9 -> 10 [size =\"22956032\"]\n  10 [size=\"86822400\", alpha=\"0.10\", expect_size=\"34728960\"] \n  10 -> 11 [size =\"34728960\"]\n  11 [size=\"25569280\", alpha=\"0.05\", expect_size=\"10227712\"] \n  11 -> 12 [size =\"10227712\"]\n  12 [size=\"40872960\", alpha=\"0.07\", expect_size=\"16349184\"] \n  12 -> 13 [size =\"16349184\"]\n  13 [size=\"101058560\", alpha=\"0.06\", expect_size=\"40423424\"] \n  13 -> 14 [size =\"40423424\"]\n  14 [size=\"100293120\", alpha=\"0.12\", expect_size=\"40117248\"] \n  14 -> 15 [size =\"40117248\"]\n  15 [size=\"71188480\", alpha=\"0.17\", expect_size=\"28475392\"] \n  15 -> 16 [size =\"28475392\"]\n  16 [size=\"107522560\", alpha=\"0.07\", expect_size=\"43009024\"] \n  16 -> 17 [size =\"43009024\"]\n  17 [size=\"96581120\", alpha=\"0.13\", expect_size=\"38632448\"] \n  17 -> 18 [size =\"38632448\"]\n  18 [size=\"36648960\", alpha=\"0.08\", expect_size=\"14659584\"] \n  18 -> 19 [size =\"14659584\"]\n  19 [size=\"39528960\", alpha=\"0.17\", expect_size=\"15811584\"] \n  19 -> 20 [size =\"15811584\"]\n  20 [size=\"111211520\", alpha=\"0.16\", expect_size=\"44484608\"] \n  20 -> 21 [size =\"44484608\"]\n  21 [size=\"52766720\", alpha=\"0.06\", expect_size=\"21106688\"] \n  21 -> 22 [size =\"21106688\"]\n  22 [size=\"82969600\", alpha=\"0.09\", expect_size=\"33187840\"] \n  22 -> 23 [size =\"33187840\"]\n  23 [size=\"121884160\", alpha=\"0.03\", expect_size=\"48753664\"] \n  23 -> 24 [size =\"48753664\"]\n  24 [size=\"39769600\", alpha=\"0.14\", expect_size=\"15907840\"] \n  24 -> 25 [size =\"15907840\"]\n  25 [size=\"111319040\", alpha=\"0.13\", expect_size=\"44527616\"] \n  25 -> 26 [size =\"44527616\"]\n  26 [size=\"92963840\", alpha=\"0.18\", expect_size=\"37185536\"] \n  26 -> 27 [size =\"37185536\"]\n  27 [size=\"15669760\", alpha=\"0.17\", expect_size=\"6267904\"] \n  27 -> 28 [size =\"6267904\"]\n  28 [size=\"91973120\", alpha=\"0.15\", expect_size=\"36789248\"] \n  28 -> 29 [size =\"36789248\"]\n  29 [size=\"24122880\", alpha=\"0.00\", expect_size=\"9649152\"] \n  29 -> 30 [size =\"9649152\"]\n  30 [size=\"124154880\", alpha=\"0.18\", expect_size=\"49661952\"] \n  30 -> 31 [size =\"49661952\"]\n  31 [size=\"103321600\", alpha=\"0.17\", expect_size=\"41328640\"] \n  31 -> 32 [size =\"41328640\"]\n  32 [size=\"21601280\", alpha=\"0.02\", expect_size=\"8640512\"] \n  32 -> 33 [size =\"8640512\"]\n  33 [size=\"72153600\", alpha=\"0.01\", expect_size=\"28861440\"] \n  33 -> 34 [size =\"28861440\"]\n  34 [size=\"92495360\", alpha=\"0.15\", expect_size=\"36998144\"] \n  34 -> 35 [size =\"36998144\"]\n  35 [size=\"58042880\", alpha=\"0.19\", expect_size=\"23217152\"] \n  35 -> 36 [size =\"23217152\"]\n  36 [size=\"19663360\", alpha=\"0.19\", expect_size=\"7865344\"] \n  36 -> 37 [size =\"7865344\"]\n  37 [size=\"122915840\", alpha=\"0.13\", expect_size=\"49166336\"] \n  37 -> 38 [size =\"49166336\"]\n  38 [size=\"107788800\", alpha=\"0.11\", expect_size=\"43115520\"] \n  38 -> 39 [size =\"43115520\"]\n  39 [size=\"78423040\", alpha=\"0.14\", expect_size=\"31369216\"] \n  39 -> 40 [size =\"31369216\"]\n  40 [size=\"79104000\", alpha=\"0.13\", expect_size=\"31641600\"] \n  40 -> 41 [size =\"31641600\"]\n  41 [size=\"65582080\", alpha=\"0.19\", expect_size=\"26232832\"] \n  41 -> 42 [size =\"26232832\"]\n  42 [size=\"50321920\", alpha=\"0.17\", expect_size=\"20128768\"] \n  42 -> 43 [size =\"20128768\"]\n  43 [size=\"61086720\", alpha=\"0.13\", expect_size=\"24434688\"] \n  43 -> 44 [size =\"24434688\"]\n  44 [size=\"67865600\", alpha=\"0.14\", expect_size=\"27146240\"] \n  44 -> 45 [size =\"27146240\"]\n  45 [size=\"39882240\", alpha=\"0.11\", expect_size=\"15952896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48578560\", alpha=\"0.08\", expect_size=\"19431424\"] \n  1 -> 17 [size =\"19431424\"]\n  1 -> 18 [size =\"19431424\"]\n  1 -> 20 [size =\"19431424\"]\n  1 -> 23 [size =\"19431424\"]\n  1 -> 24 [size =\"19431424\"]\n  1 -> 26 [size =\"19431424\"]\n  2 [size=\"80117760\", alpha=\"0.19\", expect_size=\"32047104\"] \n  2 -> 18 [size =\"32047104\"]\n  2 -> 20 [size =\"32047104\"]\n  2 -> 23 [size =\"32047104\"]\n  2 -> 23 [size =\"32047104\"]\n  2 -> 24 [size =\"32047104\"]\n  2 -> 26 [size =\"32047104\"]\n  3 [size=\"82024960\", alpha=\"0.05\", expect_size=\"32809984\"] \n  3 -> 14 [size =\"32809984\"]\n  3 -> 16 [size =\"32809984\"]\n  3 -> 17 [size =\"32809984\"]\n  3 -> 20 [size =\"32809984\"]\n  3 -> 23 [size =\"32809984\"]\n  3 -> 24 [size =\"32809984\"]\n  4 [size=\"68938240\", alpha=\"0.05\", expect_size=\"27575296\"] \n  4 -> 16 [size =\"27575296\"]\n  4 -> 23 [size =\"27575296\"]\n  4 -> 24 [size =\"27575296\"]\n  4 -> 26 [size =\"27575296\"]\n  5 [size=\"104217600\", alpha=\"0.10\", expect_size=\"41687040\"] \n  5 -> 15 [size =\"41687040\"]\n  5 -> 17 [size =\"41687040\"]\n  5 -> 19 [size =\"41687040\"]\n  5 -> 21 [size =\"41687040\"]\n  5 -> 24 [size =\"41687040\"]\n  5 -> 26 [size =\"41687040\"]\n  6 [size=\"45509120\", alpha=\"0.12\", expect_size=\"18203648\"] \n  6 -> 15 [size =\"18203648\"]\n  6 -> 16 [size =\"18203648\"]\n  6 -> 22 [size =\"18203648\"]\n  6 -> 23 [size =\"18203648\"]\n  6 -> 24 [size =\"18203648\"]\n  6 -> 26 [size =\"18203648\"]\n  7 [size=\"42667520\", alpha=\"0.12\", expect_size=\"17067008\"] \n  7 -> 15 [size =\"17067008\"]\n  7 -> 17 [size =\"17067008\"]\n  7 -> 18 [size =\"17067008\"]\n  7 -> 22 [size =\"17067008\"]\n  7 -> 23 [size =\"17067008\"]\n  7 -> 26 [size =\"17067008\"]\n  8 [size=\"56209920\", alpha=\"0.16\", expect_size=\"22483968\"] \n  8 -> 18 [size =\"22483968\"]\n  8 -> 19 [size =\"22483968\"]\n  8 -> 20 [size =\"22483968\"]\n  8 -> 22 [size =\"22483968\"]\n  8 -> 23 [size =\"22483968\"]\n  9 [size=\"60738560\", alpha=\"0.16\", expect_size=\"24295424\"] \n  9 -> 19 [size =\"24295424\"]\n  9 -> 19 [size =\"24295424\"]\n  9 -> 20 [size =\"24295424\"]\n  9 -> 22 [size =\"24295424\"]\n  9 -> 23 [size =\"24295424\"]\n  9 -> 24 [size =\"24295424\"]\n  10 [size=\"103708160\", alpha=\"0.05\", expect_size=\"41483264\"] \n  10 -> 20 [size =\"41483264\"]\n  10 -> 23 [size =\"41483264\"]\n  10 -> 24 [size =\"41483264\"]\n  10 -> 25 [size =\"41483264\"]\n  10 -> 26 [size =\"41483264\"]\n  11 [size=\"128565760\", alpha=\"0.19\", expect_size=\"51426304\"] \n  11 -> 15 [size =\"51426304\"]\n  11 -> 16 [size =\"51426304\"]\n  11 -> 17 [size =\"51426304\"]\n  11 -> 18 [size =\"51426304\"]\n  11 -> 20 [size =\"51426304\"]\n  11 -> 21 [size =\"51426304\"]\n  11 -> 23 [size =\"51426304\"]\n  11 -> 24 [size =\"51426304\"]\n  11 -> 26 [size =\"51426304\"]\n  12 [size=\"55347200\", alpha=\"0.11\", expect_size=\"22138880\"] \n  12 -> 15 [size =\"22138880\"]\n  12 -> 20 [size =\"22138880\"]\n  12 -> 24 [size =\"22138880\"]\n  13 [size=\"52334080\", alpha=\"0.08\", expect_size=\"20933632\"] \n  13 -> 15 [size =\"20933632\"]\n  13 -> 17 [size =\"20933632\"]\n  13 -> 18 [size =\"20933632\"]\n  13 -> 20 [size =\"20933632\"]\n  13 -> 21 [size =\"20933632\"]\n  13 -> 23 [size =\"20933632\"]\n  13 -> 24 [size =\"20933632\"]\n  13 -> 26 [size =\"20933632\"]\n  14 [size=\"82567680\", alpha=\"0.03\", expect_size=\"33027072\"] \n  14 -> 27 [size =\"33027072\"]\n  14 -> 28 [size =\"33027072\"]\n  14 -> 34 [size =\"33027072\"]\n  14 -> 37 [size =\"33027072\"]\n  14 -> 38 [size =\"33027072\"]\n  14 -> 39 [size =\"33027072\"]\n  15 [size=\"109724160\", alpha=\"0.18\", expect_size=\"43889664\"] \n  15 -> 27 [size =\"43889664\"]\n  15 -> 28 [size =\"43889664\"]\n  15 -> 29 [size =\"43889664\"]\n  15 -> 36 [size =\"43889664\"]\n  15 -> 37 [size =\"43889664\"]\n  15 -> 38 [size =\"43889664\"]\n  15 -> 39 [size =\"43889664\"]\n  16 [size=\"51806720\", alpha=\"0.11\", expect_size=\"20722688\"] \n  16 -> 27 [size =\"20722688\"]\n  16 -> 28 [size =\"20722688\"]\n  16 -> 29 [size =\"20722688\"]\n  16 -> 31 [size =\"20722688\"]\n  16 -> 32 [size =\"20722688\"]\n  16 -> 36 [size =\"20722688\"]\n  16 -> 37 [size =\"20722688\"]\n  16 -> 38 [size =\"20722688\"]\n  16 -> 39 [size =\"20722688\"]\n  17 [size=\"121728000\", alpha=\"0.05\", expect_size=\"48691200\"] \n  17 -> 27 [size =\"48691200\"]\n  17 -> 28 [size =\"48691200\"]\n  17 -> 29 [size =\"48691200\"]\n  17 -> 31 [size =\"48691200\"]\n  17 -> 35 [size =\"48691200\"]\n  17 -> 37 [size =\"48691200\"]\n  17 -> 38 [size =\"48691200\"]\n  17 -> 38 [size =\"48691200\"]\n  18 [size=\"75768320\", alpha=\"0.02\", expect_size=\"30307328\"] \n  18 -> 27 [size =\"30307328\"]\n  18 -> 29 [size =\"30307328\"]\n  18 -> 30 [size =\"30307328\"]\n  18 -> 31 [size =\"30307328\"]\n  18 -> 34 [size =\"30307328\"]\n  18 -> 37 [size =\"30307328\"]\n  18 -> 39 [size =\"30307328\"]\n  19 [size=\"49446400\", alpha=\"0.11\", expect_size=\"19778560\"] \n  19 -> 27 [size =\"19778560\"]\n  19 -> 28 [size =\"19778560\"]\n  19 -> 29 [size =\"19778560\"]\n  19 -> 30 [size =\"19778560\"]\n  19 -> 31 [size =\"19778560\"]\n  19 -> 34 [size =\"19778560\"]\n  19 -> 36 [size =\"19778560\"]\n  19 -> 37 [size =\"19778560\"]\n  19 -> 38 [size =\"19778560\"]\n  19 -> 39 [size =\"19778560\"]\n  20 [size=\"24517120\", alpha=\"0.10\", expect_size=\"9806848\"] \n  20 -> 27 [size =\"9806848\"]\n  20 -> 29 [size =\"9806848\"]\n  20 -> 31 [size =\"9806848\"]\n  20 -> 32 [size =\"9806848\"]\n  20 -> 35 [size =\"9806848\"]\n  20 -> 36 [size =\"9806848\"]\n  20 -> 36 [size =\"9806848\"]\n  20 -> 37 [size =\"9806848\"]\n  20 -> 39 [size =\"9806848\"]\n  21 [size=\"54026240\", alpha=\"0.15\", expect_size=\"21610496\"] \n  21 -> 27 [size =\"21610496\"]\n  21 -> 28 [size =\"21610496\"]\n  21 -> 31 [size =\"21610496\"]\n  21 -> 32 [size =\"21610496\"]\n  21 -> 33 [size =\"21610496\"]\n  21 -> 35 [size =\"21610496\"]\n  21 -> 36 [size =\"21610496\"]\n  21 -> 37 [size =\"21610496\"]\n  22 [size=\"46481920\", alpha=\"0.12\", expect_size=\"18592768\"] \n  22 -> 29 [size =\"18592768\"]\n  22 -> 31 [size =\"18592768\"]\n  22 -> 32 [size =\"18592768\"]\n  22 -> 32 [size =\"18592768\"]\n  22 -> 33 [size =\"18592768\"]\n  22 -> 34 [size =\"18592768\"]\n  22 -> 35 [size =\"18592768\"]\n  22 -> 36 [size =\"18592768\"]\n  22 -> 38 [size =\"18592768\"]\n  23 [size=\"110231040\", alpha=\"0.20\", expect_size=\"44092416\"] \n  23 -> 28 [size =\"44092416\"]\n  23 -> 29 [size =\"44092416\"]\n  23 -> 32 [size =\"44092416\"]\n  23 -> 33 [size =\"44092416\"]\n  23 -> 34 [size =\"44092416\"]\n  23 -> 35 [size =\"44092416\"]\n  23 -> 35 [size =\"44092416\"]\n  23 -> 36 [size =\"44092416\"]\n  23 -> 37 [size =\"44092416\"]\n  23 -> 38 [size =\"44092416\"]\n  24 [size=\"38909440\", alpha=\"0.17\", expect_size=\"15563776\"] \n  24 -> 30 [size =\"15563776\"]\n  24 -> 33 [size =\"15563776\"]\n  24 -> 34 [size =\"15563776\"]\n  24 -> 35 [size =\"15563776\"]\n  24 -> 36 [size =\"15563776\"]\n  24 -> 37 [size =\"15563776\"]\n  24 -> 39 [size =\"15563776\"]\n  25 [size=\"53767680\", alpha=\"0.10\", expect_size=\"21507072\"] \n  25 -> 27 [size =\"21507072\"]\n  25 -> 29 [size =\"21507072\"]\n  25 -> 30 [size =\"21507072\"]\n  25 -> 31 [size =\"21507072\"]\n  25 -> 32 [size =\"21507072\"]\n  25 -> 35 [size =\"21507072\"]\n  25 -> 36 [size =\"21507072\"]\n  25 -> 37 [size =\"21507072\"]\n  25 -> 39 [size =\"21507072\"]\n  26 [size=\"44032000\", alpha=\"0.09\", expect_size=\"17612800\"] \n  26 -> 27 [size =\"17612800\"]\n  26 -> 28 [size =\"17612800\"]\n  26 -> 29 [size =\"17612800\"]\n  26 -> 30 [size =\"17612800\"]\n  26 -> 31 [size =\"17612800\"]\n  26 -> 33 [size =\"17612800\"]\n  26 -> 34 [size =\"17612800\"]\n  26 -> 37 [size =\"17612800\"]\n  26 -> 39 [size =\"17612800\"]\n  27 [size=\"108710400\", alpha=\"0.12\", expect_size=\"43484160\"] \n  27 -> 40 [size =\"43484160\"]\n  27 -> 45 [size =\"43484160\"]\n  28 [size=\"22929920\", alpha=\"0.03\", expect_size=\"9171968\"] \n  28 -> 40 [size =\"9171968\"]\n  28 -> 42 [size =\"9171968\"]\n  28 -> 43 [size =\"9171968\"]\n  28 -> 45 [size =\"9171968\"]\n  29 [size=\"34183680\", alpha=\"0.02\", expect_size=\"13673472\"] \n  29 -> 41 [size =\"13673472\"]\n  29 -> 42 [size =\"13673472\"]\n  29 -> 44 [size =\"13673472\"]\n  29 -> 45 [size =\"13673472\"]\n  30 [size=\"101739520\", alpha=\"0.16\", expect_size=\"40695808\"] \n  30 -> 41 [size =\"40695808\"]\n  30 -> 42 [size =\"40695808\"]\n  30 -> 44 [size =\"40695808\"]\n  30 -> 45 [size =\"40695808\"]\n  31 [size=\"45163520\", alpha=\"0.09\", expect_size=\"18065408\"] \n  31 -> 41 [size =\"18065408\"]\n  31 -> 43 [size =\"18065408\"]\n  31 -> 44 [size =\"18065408\"]\n  32 [size=\"17891840\", alpha=\"0.10\", expect_size=\"7156736\"] \n  32 -> 40 [size =\"7156736\"]\n  32 -> 41 [size =\"7156736\"]\n  32 -> 42 [size =\"7156736\"]\n  32 -> 43 [size =\"7156736\"]\n  32 -> 44 [size =\"7156736\"]\n  33 [size=\"86935040\", alpha=\"0.18\", expect_size=\"34774016\"] \n  33 -> 40 [size =\"34774016\"]\n  33 -> 41 [size =\"34774016\"]\n  33 -> 42 [size =\"34774016\"]\n  33 -> 43 [size =\"34774016\"]\n  33 -> 44 [size =\"34774016\"]\n  33 -> 45 [size =\"34774016\"]\n  34 [size=\"85283840\", alpha=\"0.17\", expect_size=\"34113536\"] \n  34 -> 41 [size =\"34113536\"]\n  34 -> 42 [size =\"34113536\"]\n  34 -> 43 [size =\"34113536\"]\n  34 -> 44 [size =\"34113536\"]\n  35 [size=\"68769280\", alpha=\"0.13\", expect_size=\"27507712\"] \n  35 -> 40 [size =\"27507712\"]\n  35 -> 41 [size =\"27507712\"]\n  35 -> 44 [size =\"27507712\"]\n  35 -> 44 [size =\"27507712\"]\n  35 -> 45 [size =\"27507712\"]\n  36 [size=\"128499200\", alpha=\"0.15\", expect_size=\"51399680\"] \n  36 -> 41 [size =\"51399680\"]\n  36 -> 41 [size =\"51399680\"]\n  36 -> 44 [size =\"51399680\"]\n  36 -> 45 [size =\"51399680\"]\n  37 [size=\"60951040\", alpha=\"0.16\", expect_size=\"24380416\"] \n  37 -> 42 [size =\"24380416\"]\n  37 -> 44 [size =\"24380416\"]\n  37 -> 44 [size =\"24380416\"]\n  37 -> 45 [size =\"24380416\"]\n  38 [size=\"13647360\", alpha=\"0.07\", expect_size=\"5458944\"] \n  38 -> 40 [size =\"5458944\"]\n  38 -> 42 [size =\"5458944\"]\n  38 -> 45 [size =\"5458944\"]\n  39 [size=\"29693440\", alpha=\"0.05\", expect_size=\"11877376\"] \n  39 -> 40 [size =\"11877376\"]\n  39 -> 41 [size =\"11877376\"]\n  39 -> 43 [size =\"11877376\"]\n  39 -> 45 [size =\"11877376\"]\n  40 [size=\"38758400\", alpha=\"0.04\", expect_size=\"15503360\"] \n  41 [size=\"13478400\", alpha=\"0.11\", expect_size=\"5391360\"] \n  42 [size=\"69314560\", alpha=\"0.03\", expect_size=\"27725824\"] \n  43 [size=\"130542080\", alpha=\"0.11\", expect_size=\"52216832\"] \n  44 [size=\"118425600\", alpha=\"0.04\", expect_size=\"47370240\"] \n  45 [size=\"102423040\", alpha=\"0.04\", expect_size=\"40969216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106728107\", alpha=\"0.03\", expect_size=\"32018432\"] \n  1 -> 24 [size =\"32018432\"]\n  1 -> 30 [size =\"32018432\"]\n  1 -> 31 [size =\"32018432\"]\n  1 -> 32 [size =\"32018432\"]\n  1 -> 33 [size =\"32018432\"]\n  1 -> 35 [size =\"32018432\"]\n  1 -> 36 [size =\"32018432\"]\n  1 -> 39 [size =\"32018432\"]\n  2 [size=\"116305920\", alpha=\"0.13\", expect_size=\"34891776\"] \n  2 -> 24 [size =\"34891776\"]\n  2 -> 26 [size =\"34891776\"]\n  2 -> 28 [size =\"34891776\"]\n  2 -> 31 [size =\"34891776\"]\n  2 -> 34 [size =\"34891776\"]\n  2 -> 40 [size =\"34891776\"]\n  3 [size=\"130136747\", alpha=\"0.02\", expect_size=\"39041024\"] \n  3 -> 23 [size =\"39041024\"]\n  3 -> 26 [size =\"39041024\"]\n  3 -> 27 [size =\"39041024\"]\n  3 -> 29 [size =\"39041024\"]\n  3 -> 31 [size =\"39041024\"]\n  3 -> 33 [size =\"39041024\"]\n  3 -> 35 [size =\"39041024\"]\n  3 -> 40 [size =\"39041024\"]\n  3 -> 42 [size =\"39041024\"]\n  3 -> 43 [size =\"39041024\"]\n  4 [size=\"45765973\", alpha=\"0.12\", expect_size=\"13729792\"] \n  4 -> 25 [size =\"13729792\"]\n  4 -> 26 [size =\"13729792\"]\n  4 -> 27 [size =\"13729792\"]\n  4 -> 30 [size =\"13729792\"]\n  4 -> 33 [size =\"13729792\"]\n  4 -> 37 [size =\"13729792\"]\n  4 -> 39 [size =\"13729792\"]\n  4 -> 42 [size =\"13729792\"]\n  4 -> 43 [size =\"13729792\"]\n  4 -> 43 [size =\"13729792\"]\n  5 [size=\"51292160\", alpha=\"0.13\", expect_size=\"15387648\"] \n  5 -> 26 [size =\"15387648\"]\n  5 -> 26 [size =\"15387648\"]\n  5 -> 27 [size =\"15387648\"]\n  5 -> 32 [size =\"15387648\"]\n  5 -> 34 [size =\"15387648\"]\n  5 -> 37 [size =\"15387648\"]\n  5 -> 39 [size =\"15387648\"]\n  5 -> 41 [size =\"15387648\"]\n  5 -> 42 [size =\"15387648\"]\n  6 [size=\"146670933\", alpha=\"0.02\", expect_size=\"44001280\"] \n  6 -> 24 [size =\"44001280\"]\n  6 -> 33 [size =\"44001280\"]\n  6 -> 35 [size =\"44001280\"]\n  6 -> 36 [size =\"44001280\"]\n  6 -> 37 [size =\"44001280\"]\n  7 [size=\"139690667\", alpha=\"0.03\", expect_size=\"41907200\"] \n  7 -> 27 [size =\"41907200\"]\n  7 -> 29 [size =\"41907200\"]\n  7 -> 31 [size =\"41907200\"]\n  7 -> 37 [size =\"41907200\"]\n  8 [size=\"169775787\", alpha=\"0.06\", expect_size=\"50932736\"] \n  8 -> 23 [size =\"50932736\"]\n  8 -> 27 [size =\"50932736\"]\n  8 -> 35 [size =\"50932736\"]\n  9 [size=\"55797760\", alpha=\"0.12\", expect_size=\"16739328\"] \n  9 -> 31 [size =\"16739328\"]\n  9 -> 34 [size =\"16739328\"]\n  9 -> 35 [size =\"16739328\"]\n  9 -> 37 [size =\"16739328\"]\n  9 -> 43 [size =\"16739328\"]\n  10 [size=\"34222080\", alpha=\"0.13\", expect_size=\"10266624\"] \n  10 -> 23 [size =\"10266624\"]\n  10 -> 26 [size =\"10266624\"]\n  10 -> 27 [size =\"10266624\"]\n  10 -> 30 [size =\"10266624\"]\n  10 -> 31 [size =\"10266624\"]\n  10 -> 33 [size =\"10266624\"]\n  10 -> 34 [size =\"10266624\"]\n  10 -> 35 [size =\"10266624\"]\n  10 -> 37 [size =\"10266624\"]\n  10 -> 38 [size =\"10266624\"]\n  11 [size=\"159488000\", alpha=\"0.00\", expect_size=\"47846400\"] \n  11 -> 25 [size =\"47846400\"]\n  11 -> 26 [size =\"47846400\"]\n  11 -> 30 [size =\"47846400\"]\n  11 -> 37 [size =\"47846400\"]\n  11 -> 38 [size =\"47846400\"]\n  11 -> 43 [size =\"47846400\"]\n  12 [size=\"28702720\", alpha=\"0.12\", expect_size=\"8610816\"] \n  12 -> 23 [size =\"8610816\"]\n  12 -> 30 [size =\"8610816\"]\n  12 -> 30 [size =\"8610816\"]\n  12 -> 34 [size =\"8610816\"]\n  12 -> 35 [size =\"8610816\"]\n  12 -> 36 [size =\"8610816\"]\n  12 -> 37 [size =\"8610816\"]\n  12 -> 38 [size =\"8610816\"]\n  12 -> 40 [size =\"8610816\"]\n  12 -> 43 [size =\"8610816\"]\n  13 [size=\"132150613\", alpha=\"0.15\", expect_size=\"39645184\"] \n  13 -> 23 [size =\"39645184\"]\n  13 -> 26 [size =\"39645184\"]\n  13 -> 29 [size =\"39645184\"]\n  13 -> 43 [size =\"39645184\"]\n  14 [size=\"148285440\", alpha=\"0.16\", expect_size=\"44485632\"] \n  14 -> 30 [size =\"44485632\"]\n  14 -> 33 [size =\"44485632\"]\n  14 -> 42 [size =\"44485632\"]\n  14 -> 43 [size =\"44485632\"]\n  15 [size=\"81605973\", alpha=\"0.09\", expect_size=\"24481792\"] \n  15 -> 31 [size =\"24481792\"]\n  15 -> 34 [size =\"24481792\"]\n  15 -> 43 [size =\"24481792\"]\n  16 [size=\"24128853\", alpha=\"0.07\", expect_size=\"7238656\"] \n  16 -> 23 [size =\"7238656\"]\n  16 -> 26 [size =\"7238656\"]\n  16 -> 27 [size =\"7238656\"]\n  16 -> 30 [size =\"7238656\"]\n  16 -> 34 [size =\"7238656\"]\n  16 -> 36 [size =\"7238656\"]\n  16 -> 42 [size =\"7238656\"]\n  16 -> 45 [size =\"7238656\"]\n  17 [size=\"39406933\", alpha=\"0.11\", expect_size=\"11822080\"] \n  17 -> 23 [size =\"11822080\"]\n  17 -> 24 [size =\"11822080\"]\n  17 -> 27 [size =\"11822080\"]\n  17 -> 33 [size =\"11822080\"]\n  17 -> 34 [size =\"11822080\"]\n  17 -> 36 [size =\"11822080\"]\n  17 -> 38 [size =\"11822080\"]\n  17 -> 43 [size =\"11822080\"]\n  18 [size=\"63744000\", alpha=\"0.03\", expect_size=\"19123200\"] \n  18 -> 25 [size =\"19123200\"]\n  18 -> 26 [size =\"19123200\"]\n  18 -> 27 [size =\"19123200\"]\n  18 -> 31 [size =\"19123200\"]\n  18 -> 32 [size =\"19123200\"]\n  18 -> 34 [size =\"19123200\"]\n  18 -> 37 [size =\"19123200\"]\n  18 -> 41 [size =\"19123200\"]\n  18 -> 43 [size =\"19123200\"]\n  18 -> 44 [size =\"19123200\"]\n  19 [size=\"114432000\", alpha=\"0.06\", expect_size=\"34329600\"] \n  19 -> 23 [size =\"34329600\"]\n  19 -> 29 [size =\"34329600\"]\n  19 -> 30 [size =\"34329600\"]\n  19 -> 32 [size =\"34329600\"]\n  19 -> 36 [size =\"34329600\"]\n  19 -> 37 [size =\"34329600\"]\n  19 -> 39 [size =\"34329600\"]\n  19 -> 42 [size =\"34329600\"]\n  19 -> 43 [size =\"34329600\"]\n  20 [size=\"49442133\", alpha=\"0.07\", expect_size=\"14832640\"] \n  20 -> 26 [size =\"14832640\"]\n  20 -> 28 [size =\"14832640\"]\n  20 -> 37 [size =\"14832640\"]\n  20 -> 38 [size =\"14832640\"]\n  20 -> 39 [size =\"14832640\"]\n  20 -> 41 [size =\"14832640\"]\n  20 -> 42 [size =\"14832640\"]\n  21 [size=\"154426027\", alpha=\"0.18\", expect_size=\"46327808\"] \n  21 -> 23 [size =\"46327808\"]\n  21 -> 25 [size =\"46327808\"]\n  21 -> 26 [size =\"46327808\"]\n  21 -> 31 [size =\"46327808\"]\n  21 -> 33 [size =\"46327808\"]\n  21 -> 38 [size =\"46327808\"]\n  21 -> 39 [size =\"46327808\"]\n  21 -> 40 [size =\"46327808\"]\n  21 -> 43 [size =\"46327808\"]\n  22 [size=\"157269333\", alpha=\"0.03\", expect_size=\"47180800\"] \n  22 -> 23 [size =\"47180800\"]\n  22 -> 25 [size =\"47180800\"]\n  22 -> 27 [size =\"47180800\"]\n  22 -> 31 [size =\"47180800\"]\n  22 -> 32 [size =\"47180800\"]\n  22 -> 34 [size =\"47180800\"]\n  22 -> 36 [size =\"47180800\"]\n  22 -> 37 [size =\"47180800\"]\n  22 -> 39 [size =\"47180800\"]\n  22 -> 41 [size =\"47180800\"]\n  22 -> 43 [size =\"47180800\"]\n  23 [size=\"97365333\", alpha=\"0.02\", expect_size=\"29209600\"] \n  24 [size=\"60047360\", alpha=\"0.04\", expect_size=\"18014208\"] \n  25 [size=\"31982933\", alpha=\"0.10\", expect_size=\"9594880\"] \n  26 [size=\"106082987\", alpha=\"0.13\", expect_size=\"31824896\"] \n  27 [size=\"163809280\", alpha=\"0.12\", expect_size=\"49142784\"] \n  28 [size=\"96017067\", alpha=\"0.10\", expect_size=\"28805120\"] \n  29 [size=\"118009173\", alpha=\"0.13\", expect_size=\"35402752\"] \n  30 [size=\"166690133\", alpha=\"0.18\", expect_size=\"50007040\"] \n  31 [size=\"61726720\", alpha=\"0.01\", expect_size=\"18518016\"] \n  32 [size=\"49653760\", alpha=\"0.05\", expect_size=\"14896128\"] \n  33 [size=\"72017920\", alpha=\"0.04\", expect_size=\"21605376\"] \n  34 [size=\"84196693\", alpha=\"0.20\", expect_size=\"25259008\"] \n  35 [size=\"114483200\", alpha=\"0.04\", expect_size=\"34344960\"] \n  36 [size=\"39403520\", alpha=\"0.08\", expect_size=\"11821056\"] \n  37 [size=\"145445547\", alpha=\"0.16\", expect_size=\"43633664\"] \n  38 [size=\"82957653\", alpha=\"0.09\", expect_size=\"24887296\"] \n  39 [size=\"161532587\", alpha=\"0.15\", expect_size=\"48459776\"] \n  40 [size=\"104922453\", alpha=\"0.04\", expect_size=\"31476736\"] \n  41 [size=\"87156053\", alpha=\"0.11\", expect_size=\"26146816\"] \n  42 [size=\"92958720\", alpha=\"0.16\", expect_size=\"27887616\"] \n  43 [size=\"133560320\", alpha=\"0.11\", expect_size=\"40068096\"] \n  44 [size=\"166348800\", alpha=\"0.12\", expect_size=\"49904640\"] \n  45 [size=\"164850347\", alpha=\"0.14\", expect_size=\"49455104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66802347\", alpha=\"0.00\", expect_size=\"20040704\"] \n  1 -> 9 [size =\"20040704\"]\n  2 [size=\"153091413\", alpha=\"0.14\", expect_size=\"45927424\"] \n  2 -> 9 [size =\"45927424\"]\n  3 [size=\"107083093\", alpha=\"0.17\", expect_size=\"32124928\"] \n  3 -> 8 [size =\"32124928\"]\n  4 [size=\"140697600\", alpha=\"0.09\", expect_size=\"42209280\"] \n  5 [size=\"145172480\", alpha=\"0.04\", expect_size=\"43551744\"] \n  6 [size=\"101126827\", alpha=\"0.03\", expect_size=\"30338048\"] \n  7 [size=\"27374933\", alpha=\"0.05\", expect_size=\"8212480\"] \n  7 -> 10 [size =\"8212480\"]\n  8 [size=\"58071040\", alpha=\"0.07\", expect_size=\"17421312\"] \n  8 -> 11 [size =\"17421312\"]\n  8 -> 12 [size =\"17421312\"]\n  8 -> 15 [size =\"17421312\"]\n  8 -> 17 [size =\"17421312\"]\n  9 [size=\"164003840\", alpha=\"0.18\", expect_size=\"49201152\"] \n  9 -> 13 [size =\"49201152\"]\n  9 -> 16 [size =\"49201152\"]\n  9 -> 17 [size =\"49201152\"]\n  10 [size=\"17892693\", alpha=\"0.03\", expect_size=\"5367808\"] \n  10 -> 14 [size =\"5367808\"]\n  11 [size=\"69584213\", alpha=\"0.16\", expect_size=\"20875264\"] \n  11 -> 21 [size =\"20875264\"]\n  12 [size=\"70447787\", alpha=\"0.09\", expect_size=\"21134336\"] \n  12 -> 18 [size =\"21134336\"]\n  12 -> 21 [size =\"21134336\"]\n  12 -> 22 [size =\"21134336\"]\n  13 [size=\"23350613\", alpha=\"0.09\", expect_size=\"7005184\"] \n  13 -> 19 [size =\"7005184\"]\n  13 -> 21 [size =\"7005184\"]\n  13 -> 22 [size =\"7005184\"]\n  14 [size=\"157508267\", alpha=\"0.18\", expect_size=\"47252480\"] \n  14 -> 20 [size =\"47252480\"]\n  14 -> 21 [size =\"47252480\"]\n  14 -> 22 [size =\"47252480\"]\n  15 [size=\"67160747\", alpha=\"0.09\", expect_size=\"20148224\"] \n  15 -> 20 [size =\"20148224\"]\n  15 -> 21 [size =\"20148224\"]\n  16 [size=\"101038080\", alpha=\"0.15\", expect_size=\"30311424\"] \n  16 -> 18 [size =\"30311424\"]\n  16 -> 20 [size =\"30311424\"]\n  16 -> 22 [size =\"30311424\"]\n  17 [size=\"127651840\", alpha=\"0.10\", expect_size=\"38295552\"] \n  17 -> 18 [size =\"38295552\"]\n  18 [size=\"165645653\", alpha=\"0.02\", expect_size=\"49693696\"] \n  18 -> 26 [size =\"49693696\"]\n  19 [size=\"65894400\", alpha=\"0.03\", expect_size=\"19768320\"] \n  19 -> 23 [size =\"19768320\"]\n  19 -> 24 [size =\"19768320\"]\n  19 -> 25 [size =\"19768320\"]\n  19 -> 26 [size =\"19768320\"]\n  20 [size=\"50841600\", alpha=\"0.01\", expect_size=\"15252480\"] \n  20 -> 23 [size =\"15252480\"]\n  20 -> 24 [size =\"15252480\"]\n  20 -> 25 [size =\"15252480\"]\n  20 -> 26 [size =\"15252480\"]\n  20 -> 27 [size =\"15252480\"]\n  20 -> 28 [size =\"15252480\"]\n  21 [size=\"75113813\", alpha=\"0.05\", expect_size=\"22534144\"] \n  21 -> 25 [size =\"22534144\"]\n  21 -> 27 [size =\"22534144\"]\n  22 [size=\"40267093\", alpha=\"0.06\", expect_size=\"12080128\"] \n  22 -> 23 [size =\"12080128\"]\n  22 -> 24 [size =\"12080128\"]\n  22 -> 26 [size =\"12080128\"]\n  23 [size=\"112786773\", alpha=\"0.19\", expect_size=\"33836032\"] \n  23 -> 30 [size =\"33836032\"]\n  23 -> 31 [size =\"33836032\"]\n  24 [size=\"28221440\", alpha=\"0.08\", expect_size=\"8466432\"] \n  24 -> 29 [size =\"8466432\"]\n  25 [size=\"167751680\", alpha=\"0.12\", expect_size=\"50325504\"] \n  25 -> 29 [size =\"50325504\"]\n  25 -> 30 [size =\"50325504\"]\n  26 [size=\"81551360\", alpha=\"0.07\", expect_size=\"24465408\"] \n  27 [size=\"40328533\", alpha=\"0.04\", expect_size=\"12098560\"] \n  27 -> 29 [size =\"12098560\"]\n  27 -> 31 [size =\"12098560\"]\n  28 [size=\"121391787\", alpha=\"0.06\", expect_size=\"36417536\"] \n  28 -> 30 [size =\"36417536\"]\n  28 -> 31 [size =\"36417536\"]\n  29 [size=\"135686827\", alpha=\"0.06\", expect_size=\"40706048\"] \n  29 -> 33 [size =\"40706048\"]\n  29 -> 34 [size =\"40706048\"]\n  29 -> 35 [size =\"40706048\"]\n  29 -> 38 [size =\"40706048\"]\n  30 [size=\"160505173\", alpha=\"0.06\", expect_size=\"48151552\"] \n  30 -> 33 [size =\"48151552\"]\n  30 -> 34 [size =\"48151552\"]\n  30 -> 35 [size =\"48151552\"]\n  30 -> 36 [size =\"48151552\"]\n  30 -> 38 [size =\"48151552\"]\n  31 [size=\"168123733\", alpha=\"0.13\", expect_size=\"50437120\"] \n  31 -> 32 [size =\"50437120\"]\n  31 -> 35 [size =\"50437120\"]\n  31 -> 36 [size =\"50437120\"]\n  31 -> 37 [size =\"50437120\"]\n  31 -> 38 [size =\"50437120\"]\n  32 [size=\"50585600\", alpha=\"0.07\", expect_size=\"15175680\"] \n  32 -> 40 [size =\"15175680\"]\n  32 -> 42 [size =\"15175680\"]\n  33 [size=\"100792320\", alpha=\"0.02\", expect_size=\"30237696\"] \n  33 -> 41 [size =\"30237696\"]\n  34 [size=\"93777920\", alpha=\"0.14\", expect_size=\"28133376\"] \n  34 -> 39 [size =\"28133376\"]\n  34 -> 42 [size =\"28133376\"]\n  35 [size=\"152767147\", alpha=\"0.12\", expect_size=\"45830144\"] \n  35 -> 39 [size =\"45830144\"]\n  36 [size=\"90883413\", alpha=\"0.02\", expect_size=\"27265024\"] \n  36 -> 40 [size =\"27265024\"]\n  36 -> 42 [size =\"27265024\"]\n  37 [size=\"149067093\", alpha=\"0.05\", expect_size=\"44720128\"] \n  37 -> 39 [size =\"44720128\"]\n  38 [size=\"22647467\", alpha=\"0.07\", expect_size=\"6794240\"] \n  38 -> 39 [size =\"6794240\"]\n  38 -> 40 [size =\"6794240\"]\n  38 -> 41 [size =\"6794240\"]\n  38 -> 42 [size =\"6794240\"]\n  39 [size=\"66788693\", alpha=\"0.15\", expect_size=\"20036608\"] \n  39 -> 44 [size =\"20036608\"]\n  40 [size=\"113452373\", alpha=\"0.08\", expect_size=\"34035712\"] \n  40 -> 43 [size =\"34035712\"]\n  40 -> 45 [size =\"34035712\"]\n  41 [size=\"163051520\", alpha=\"0.08\", expect_size=\"48915456\"] \n  41 -> 43 [size =\"48915456\"]\n  41 -> 44 [size =\"48915456\"]\n  41 -> 45 [size =\"48915456\"]\n  42 [size=\"110414507\", alpha=\"0.10\", expect_size=\"33124352\"] \n  42 -> 45 [size =\"33124352\"]\n  43 [size=\"165792427\", alpha=\"0.05\", expect_size=\"49737728\"] \n  44 [size=\"20497067\", alpha=\"0.01\", expect_size=\"6149120\"] \n  45 [size=\"129126400\", alpha=\"0.17\", expect_size=\"38737920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118104747\", alpha=\"0.03\", expect_size=\"35431424\"] \n  1 -> 7 [size =\"35431424\"]\n  1 -> 10 [size =\"35431424\"]\n  2 [size=\"140550827\", alpha=\"0.10\", expect_size=\"42165248\"] \n  2 -> 7 [size =\"42165248\"]\n  2 -> 9 [size =\"42165248\"]\n  2 -> 10 [size =\"42165248\"]\n  3 [size=\"74154667\", alpha=\"0.13\", expect_size=\"22246400\"] \n  3 -> 8 [size =\"22246400\"]\n  3 -> 9 [size =\"22246400\"]\n  3 -> 10 [size =\"22246400\"]\n  3 -> 11 [size =\"22246400\"]\n  4 [size=\"55831893\", alpha=\"0.08\", expect_size=\"16749568\"] \n  4 -> 7 [size =\"16749568\"]\n  4 -> 8 [size =\"16749568\"]\n  4 -> 11 [size =\"16749568\"]\n  5 [size=\"169311573\", alpha=\"0.20\", expect_size=\"50793472\"] \n  5 -> 7 [size =\"50793472\"]\n  5 -> 8 [size =\"50793472\"]\n  5 -> 10 [size =\"50793472\"]\n  6 [size=\"55022933\", alpha=\"0.09\", expect_size=\"16506880\"] \n  6 -> 7 [size =\"16506880\"]\n  6 -> 9 [size =\"16506880\"]\n  6 -> 10 [size =\"16506880\"]\n  7 [size=\"167830187\", alpha=\"0.20\", expect_size=\"50349056\"] \n  7 -> 12 [size =\"50349056\"]\n  7 -> 14 [size =\"50349056\"]\n  7 -> 15 [size =\"50349056\"]\n  8 [size=\"91340800\", alpha=\"0.05\", expect_size=\"27402240\"] \n  8 -> 12 [size =\"27402240\"]\n  8 -> 14 [size =\"27402240\"]\n  8 -> 15 [size =\"27402240\"]\n  9 [size=\"111834453\", alpha=\"0.05\", expect_size=\"33550336\"] \n  9 -> 12 [size =\"33550336\"]\n  9 -> 14 [size =\"33550336\"]\n  9 -> 15 [size =\"33550336\"]\n  10 [size=\"118773760\", alpha=\"0.14\", expect_size=\"35632128\"] \n  10 -> 13 [size =\"35632128\"]\n  10 -> 14 [size =\"35632128\"]\n  10 -> 15 [size =\"35632128\"]\n  10 -> 16 [size =\"35632128\"]\n  11 [size=\"37123413\", alpha=\"0.00\", expect_size=\"11137024\"] \n  11 -> 12 [size =\"11137024\"]\n  11 -> 13 [size =\"11137024\"]\n  11 -> 16 [size =\"11137024\"]\n  12 [size=\"62631253\", alpha=\"0.04\", expect_size=\"18789376\"] \n  12 -> 20 [size =\"18789376\"]\n  13 [size=\"139011413\", alpha=\"0.02\", expect_size=\"41703424\"] \n  13 -> 17 [size =\"41703424\"]\n  13 -> 19 [size =\"41703424\"]\n  13 -> 20 [size =\"41703424\"]\n  14 [size=\"86422187\", alpha=\"0.03\", expect_size=\"25926656\"] \n  14 -> 17 [size =\"25926656\"]\n  14 -> 20 [size =\"25926656\"]\n  15 [size=\"151698773\", alpha=\"0.02\", expect_size=\"45509632\"] \n  15 -> 18 [size =\"45509632\"]\n  15 -> 20 [size =\"45509632\"]\n  16 [size=\"149230933\", alpha=\"0.03\", expect_size=\"44769280\"] \n  16 -> 19 [size =\"44769280\"]\n  16 -> 20 [size =\"44769280\"]\n  17 [size=\"62006613\", alpha=\"0.00\", expect_size=\"18601984\"] \n  17 -> 21 [size =\"18601984\"]\n  17 -> 24 [size =\"18601984\"]\n  18 [size=\"58760533\", alpha=\"0.06\", expect_size=\"17628160\"] \n  18 -> 21 [size =\"17628160\"]\n  18 -> 22 [size =\"17628160\"]\n  18 -> 23 [size =\"17628160\"]\n  18 -> 24 [size =\"17628160\"]\n  19 [size=\"98918400\", alpha=\"0.01\", expect_size=\"29675520\"] \n  19 -> 21 [size =\"29675520\"]\n  19 -> 23 [size =\"29675520\"]\n  19 -> 24 [size =\"29675520\"]\n  20 [size=\"140520107\", alpha=\"0.01\", expect_size=\"42156032\"] \n  20 -> 21 [size =\"42156032\"]\n  20 -> 23 [size =\"42156032\"]\n  20 -> 24 [size =\"42156032\"]\n  20 -> 25 [size =\"42156032\"]\n  21 [size=\"93320533\", alpha=\"0.15\", expect_size=\"27996160\"] \n  21 -> 26 [size =\"27996160\"]\n  21 -> 28 [size =\"27996160\"]\n  21 -> 29 [size =\"27996160\"]\n  22 [size=\"97105920\", alpha=\"0.04\", expect_size=\"29131776\"] \n  22 -> 26 [size =\"29131776\"]\n  22 -> 27 [size =\"29131776\"]\n  22 -> 28 [size =\"29131776\"]\n  22 -> 29 [size =\"29131776\"]\n  23 [size=\"128836267\", alpha=\"0.01\", expect_size=\"38650880\"] \n  23 -> 26 [size =\"38650880\"]\n  23 -> 28 [size =\"38650880\"]\n  23 -> 28 [size =\"38650880\"]\n  23 -> 29 [size =\"38650880\"]\n  24 [size=\"140779520\", alpha=\"0.02\", expect_size=\"42233856\"] \n  24 -> 26 [size =\"42233856\"]\n  24 -> 29 [size =\"42233856\"]\n  25 [size=\"162420053\", alpha=\"0.03\", expect_size=\"48726016\"] \n  25 -> 26 [size =\"48726016\"]\n  25 -> 28 [size =\"48726016\"]\n  25 -> 29 [size =\"48726016\"]\n  26 [size=\"18500267\", alpha=\"0.09\", expect_size=\"5550080\"] \n  26 -> 30 [size =\"5550080\"]\n  26 -> 33 [size =\"5550080\"]\n  27 [size=\"43936427\", alpha=\"0.13\", expect_size=\"13180928\"] \n  27 -> 30 [size =\"13180928\"]\n  27 -> 32 [size =\"13180928\"]\n  28 [size=\"46595413\", alpha=\"0.07\", expect_size=\"13978624\"] \n  28 -> 30 [size =\"13978624\"]\n  28 -> 33 [size =\"13978624\"]\n  29 [size=\"96959147\", alpha=\"0.13\", expect_size=\"29087744\"] \n  29 -> 30 [size =\"29087744\"]\n  29 -> 31 [size =\"29087744\"]\n  29 -> 32 [size =\"29087744\"]\n  29 -> 33 [size =\"29087744\"]\n  30 [size=\"101270187\", alpha=\"0.12\", expect_size=\"30381056\"] \n  30 -> 36 [size =\"30381056\"]\n  30 -> 37 [size =\"30381056\"]\n  30 -> 37 [size =\"30381056\"]\n  30 -> 38 [size =\"30381056\"]\n  31 [size=\"112561493\", alpha=\"0.14\", expect_size=\"33768448\"] \n  31 -> 34 [size =\"33768448\"]\n  32 [size=\"74168320\", alpha=\"0.01\", expect_size=\"22250496\"] \n  32 -> 37 [size =\"22250496\"]\n  32 -> 38 [size =\"22250496\"]\n  33 [size=\"109175467\", alpha=\"0.03\", expect_size=\"32752640\"] \n  33 -> 35 [size =\"32752640\"]\n  33 -> 36 [size =\"32752640\"]\n  33 -> 37 [size =\"32752640\"]\n  33 -> 38 [size =\"32752640\"]\n  34 [size=\"116968107\", alpha=\"0.15\", expect_size=\"35090432\"] \n  34 -> 39 [size =\"35090432\"]\n  34 -> 40 [size =\"35090432\"]\n  34 -> 42 [size =\"35090432\"]\n  34 -> 43 [size =\"35090432\"]\n  35 [size=\"135908693\", alpha=\"0.03\", expect_size=\"40772608\"] \n  35 -> 40 [size =\"40772608\"]\n  35 -> 41 [size =\"40772608\"]\n  35 -> 42 [size =\"40772608\"]\n  35 -> 43 [size =\"40772608\"]\n  36 [size=\"160546133\", alpha=\"0.08\", expect_size=\"48163840\"] \n  36 -> 39 [size =\"48163840\"]\n  36 -> 41 [size =\"48163840\"]\n  36 -> 42 [size =\"48163840\"]\n  36 -> 43 [size =\"48163840\"]\n  37 [size=\"71140693\", alpha=\"0.19\", expect_size=\"21342208\"] \n  37 -> 40 [size =\"21342208\"]\n  37 -> 41 [size =\"21342208\"]\n  37 -> 42 [size =\"21342208\"]\n  37 -> 43 [size =\"21342208\"]\n  38 [size=\"18046293\", alpha=\"0.15\", expect_size=\"5413888\"] \n  38 -> 39 [size =\"5413888\"]\n  38 -> 40 [size =\"5413888\"]\n  38 -> 41 [size =\"5413888\"]\n  38 -> 42 [size =\"5413888\"]\n  39 [size=\"75127467\", alpha=\"0.02\", expect_size=\"22538240\"] \n  39 -> 44 [size =\"22538240\"]\n  40 [size=\"22173013\", alpha=\"0.04\", expect_size=\"6651904\"] \n  40 -> 44 [size =\"6651904\"]\n  40 -> 45 [size =\"6651904\"]\n  41 [size=\"117766827\", alpha=\"0.15\", expect_size=\"35330048\"] \n  41 -> 44 [size =\"35330048\"]\n  42 [size=\"66986667\", alpha=\"0.17\", expect_size=\"20096000\"] \n  42 -> 44 [size =\"20096000\"]\n  42 -> 45 [size =\"20096000\"]\n  43 [size=\"72270507\", alpha=\"0.13\", expect_size=\"21681152\"] \n  43 -> 44 [size =\"21681152\"]\n  44 [size=\"97877333\", alpha=\"0.05\", expect_size=\"29363200\"] \n  45 [size=\"55459840\", alpha=\"0.15\", expect_size=\"16637952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35575808\", alpha=\"0.05\", expect_size=\"17787904\"] \n  1 -> 12 [size =\"17787904\"]\n  1 -> 14 [size =\"17787904\"]\n  1 -> 19 [size =\"17787904\"]\n  1 -> 20 [size =\"17787904\"]\n  1 -> 22 [size =\"17787904\"]\n  1 -> 23 [size =\"17787904\"]\n  1 -> 25 [size =\"17787904\"]\n  1 -> 27 [size =\"17787904\"]\n  2 [size=\"50112512\", alpha=\"0.03\", expect_size=\"25056256\"] \n  2 -> 11 [size =\"25056256\"]\n  2 -> 12 [size =\"25056256\"]\n  2 -> 15 [size =\"25056256\"]\n  2 -> 19 [size =\"25056256\"]\n  2 -> 20 [size =\"25056256\"]\n  2 -> 25 [size =\"25056256\"]\n  2 -> 25 [size =\"25056256\"]\n  3 [size=\"24651776\", alpha=\"0.09\", expect_size=\"12325888\"] \n  3 -> 12 [size =\"12325888\"]\n  3 -> 13 [size =\"12325888\"]\n  3 -> 20 [size =\"12325888\"]\n  4 [size=\"93145088\", alpha=\"0.18\", expect_size=\"46572544\"] \n  4 -> 16 [size =\"46572544\"]\n  4 -> 20 [size =\"46572544\"]\n  4 -> 24 [size =\"46572544\"]\n  4 -> 25 [size =\"46572544\"]\n  4 -> 27 [size =\"46572544\"]\n  5 [size=\"30461952\", alpha=\"0.01\", expect_size=\"15230976\"] \n  5 -> 13 [size =\"15230976\"]\n  5 -> 14 [size =\"15230976\"]\n  5 -> 18 [size =\"15230976\"]\n  5 -> 19 [size =\"15230976\"]\n  5 -> 20 [size =\"15230976\"]\n  5 -> 24 [size =\"15230976\"]\n  6 [size=\"15550464\", alpha=\"0.00\", expect_size=\"7775232\"] \n  6 -> 12 [size =\"7775232\"]\n  6 -> 13 [size =\"7775232\"]\n  6 -> 14 [size =\"7775232\"]\n  6 -> 17 [size =\"7775232\"]\n  6 -> 18 [size =\"7775232\"]\n  6 -> 22 [size =\"7775232\"]\n  6 -> 24 [size =\"7775232\"]\n  6 -> 27 [size =\"7775232\"]\n  7 [size=\"91156480\", alpha=\"0.19\", expect_size=\"45578240\"] \n  7 -> 14 [size =\"45578240\"]\n  7 -> 15 [size =\"45578240\"]\n  7 -> 17 [size =\"45578240\"]\n  7 -> 18 [size =\"45578240\"]\n  7 -> 19 [size =\"45578240\"]\n  7 -> 20 [size =\"45578240\"]\n  7 -> 21 [size =\"45578240\"]\n  7 -> 22 [size =\"45578240\"]\n  7 -> 24 [size =\"45578240\"]\n  7 -> 25 [size =\"45578240\"]\n  7 -> 26 [size =\"45578240\"]\n  8 [size=\"27336704\", alpha=\"0.06\", expect_size=\"13668352\"] \n  8 -> 11 [size =\"13668352\"]\n  8 -> 12 [size =\"13668352\"]\n  8 -> 15 [size =\"13668352\"]\n  8 -> 17 [size =\"13668352\"]\n  8 -> 19 [size =\"13668352\"]\n  8 -> 24 [size =\"13668352\"]\n  8 -> 26 [size =\"13668352\"]\n  9 [size=\"68923392\", alpha=\"0.04\", expect_size=\"34461696\"] \n  9 -> 11 [size =\"34461696\"]\n  9 -> 12 [size =\"34461696\"]\n  9 -> 15 [size =\"34461696\"]\n  9 -> 16 [size =\"34461696\"]\n  9 -> 17 [size =\"34461696\"]\n  9 -> 18 [size =\"34461696\"]\n  9 -> 19 [size =\"34461696\"]\n  9 -> 24 [size =\"34461696\"]\n  9 -> 25 [size =\"34461696\"]\n  9 -> 26 [size =\"34461696\"]\n  10 [size=\"90341376\", alpha=\"0.11\", expect_size=\"45170688\"] \n  10 -> 12 [size =\"45170688\"]\n  10 -> 17 [size =\"45170688\"]\n  10 -> 19 [size =\"45170688\"]\n  10 -> 20 [size =\"45170688\"]\n  10 -> 24 [size =\"45170688\"]\n  10 -> 25 [size =\"45170688\"]\n  11 [size=\"68306944\", alpha=\"0.00\", expect_size=\"34153472\"] \n  11 -> 29 [size =\"34153472\"]\n  11 -> 37 [size =\"34153472\"]\n  12 [size=\"92995584\", alpha=\"0.01\", expect_size=\"46497792\"] \n  12 -> 31 [size =\"46497792\"]\n  12 -> 33 [size =\"46497792\"]\n  12 -> 37 [size =\"46497792\"]\n  13 [size=\"12300288\", alpha=\"0.14\", expect_size=\"6150144\"] \n  13 -> 33 [size =\"6150144\"]\n  13 -> 36 [size =\"6150144\"]\n  13 -> 37 [size =\"6150144\"]\n  13 -> 38 [size =\"6150144\"]\n  13 -> 39 [size =\"6150144\"]\n  14 [size=\"55588864\", alpha=\"0.17\", expect_size=\"27794432\"] \n  14 -> 30 [size =\"27794432\"]\n  14 -> 32 [size =\"27794432\"]\n  14 -> 37 [size =\"27794432\"]\n  14 -> 39 [size =\"27794432\"]\n  15 [size=\"45944832\", alpha=\"0.05\", expect_size=\"22972416\"] \n  15 -> 29 [size =\"22972416\"]\n  16 [size=\"50089984\", alpha=\"0.19\", expect_size=\"25044992\"] \n  16 -> 28 [size =\"25044992\"]\n  16 -> 29 [size =\"25044992\"]\n  16 -> 30 [size =\"25044992\"]\n  16 -> 36 [size =\"25044992\"]\n  16 -> 38 [size =\"25044992\"]\n  16 -> 39 [size =\"25044992\"]\n  17 [size=\"51402752\", alpha=\"0.12\", expect_size=\"25701376\"] \n  17 -> 30 [size =\"25701376\"]\n  17 -> 32 [size =\"25701376\"]\n  17 -> 33 [size =\"25701376\"]\n  17 -> 35 [size =\"25701376\"]\n  17 -> 39 [size =\"25701376\"]\n  18 [size=\"45006848\", alpha=\"0.12\", expect_size=\"22503424\"] \n  18 -> 33 [size =\"22503424\"]\n  18 -> 34 [size =\"22503424\"]\n  18 -> 35 [size =\"22503424\"]\n  18 -> 39 [size =\"22503424\"]\n  18 -> 39 [size =\"22503424\"]\n  19 [size=\"75489280\", alpha=\"0.01\", expect_size=\"37744640\"] \n  19 -> 31 [size =\"37744640\"]\n  19 -> 39 [size =\"37744640\"]\n  20 [size=\"93917184\", alpha=\"0.06\", expect_size=\"46958592\"] \n  20 -> 31 [size =\"46958592\"]\n  20 -> 32 [size =\"46958592\"]\n  20 -> 36 [size =\"46958592\"]\n  21 [size=\"53628928\", alpha=\"0.16\", expect_size=\"26814464\"] \n  21 -> 30 [size =\"26814464\"]\n  21 -> 31 [size =\"26814464\"]\n  21 -> 36 [size =\"26814464\"]\n  21 -> 39 [size =\"26814464\"]\n  22 [size=\"55482368\", alpha=\"0.14\", expect_size=\"27741184\"] \n  22 -> 29 [size =\"27741184\"]\n  22 -> 31 [size =\"27741184\"]\n  22 -> 32 [size =\"27741184\"]\n  22 -> 35 [size =\"27741184\"]\n  22 -> 36 [size =\"27741184\"]\n  22 -> 39 [size =\"27741184\"]\n  23 [size=\"61214720\", alpha=\"0.15\", expect_size=\"30607360\"] \n  23 -> 29 [size =\"30607360\"]\n  23 -> 31 [size =\"30607360\"]\n  23 -> 35 [size =\"30607360\"]\n  23 -> 35 [size =\"30607360\"]\n  24 [size=\"33103872\", alpha=\"0.14\", expect_size=\"16551936\"] \n  24 -> 29 [size =\"16551936\"]\n  24 -> 32 [size =\"16551936\"]\n  24 -> 35 [size =\"16551936\"]\n  25 [size=\"19398656\", alpha=\"0.17\", expect_size=\"9699328\"] \n  25 -> 32 [size =\"9699328\"]\n  25 -> 35 [size =\"9699328\"]\n  25 -> 36 [size =\"9699328\"]\n  26 [size=\"42747904\", alpha=\"0.01\", expect_size=\"21373952\"] \n  26 -> 28 [size =\"21373952\"]\n  26 -> 30 [size =\"21373952\"]\n  26 -> 31 [size =\"21373952\"]\n  26 -> 34 [size =\"21373952\"]\n  26 -> 39 [size =\"21373952\"]\n  27 [size=\"37201920\", alpha=\"0.02\", expect_size=\"18600960\"] \n  27 -> 29 [size =\"18600960\"]\n  27 -> 37 [size =\"18600960\"]\n  27 -> 39 [size =\"18600960\"]\n  28 [size=\"95283200\", alpha=\"0.07\", expect_size=\"47641600\"] \n  28 -> 42 [size =\"47641600\"]\n  28 -> 43 [size =\"47641600\"]\n  28 -> 44 [size =\"47641600\"]\n  28 -> 45 [size =\"47641600\"]\n  29 [size=\"56850432\", alpha=\"0.04\", expect_size=\"28425216\"] \n  29 -> 41 [size =\"28425216\"]\n  29 -> 42 [size =\"28425216\"]\n  29 -> 44 [size =\"28425216\"]\n  29 -> 45 [size =\"28425216\"]\n  30 [size=\"61794304\", alpha=\"0.18\", expect_size=\"30897152\"] \n  30 -> 42 [size =\"30897152\"]\n  30 -> 44 [size =\"30897152\"]\n  30 -> 45 [size =\"30897152\"]\n  30 -> 45 [size =\"30897152\"]\n  31 [size=\"88324096\", alpha=\"0.05\", expect_size=\"44162048\"] \n  31 -> 41 [size =\"44162048\"]\n  32 [size=\"67160064\", alpha=\"0.09\", expect_size=\"33580032\"] \n  32 -> 41 [size =\"33580032\"]\n  32 -> 42 [size =\"33580032\"]\n  32 -> 43 [size =\"33580032\"]\n  33 [size=\"37928960\", alpha=\"0.13\", expect_size=\"18964480\"] \n  33 -> 40 [size =\"18964480\"]\n  33 -> 41 [size =\"18964480\"]\n  33 -> 42 [size =\"18964480\"]\n  33 -> 43 [size =\"18964480\"]\n  33 -> 44 [size =\"18964480\"]\n  33 -> 45 [size =\"18964480\"]\n  34 [size=\"14798848\", alpha=\"0.07\", expect_size=\"7399424\"] \n  34 -> 40 [size =\"7399424\"]\n  34 -> 43 [size =\"7399424\"]\n  34 -> 44 [size =\"7399424\"]\n  35 [size=\"80429056\", alpha=\"0.08\", expect_size=\"40214528\"] \n  35 -> 41 [size =\"40214528\"]\n  35 -> 43 [size =\"40214528\"]\n  36 [size=\"66052096\", alpha=\"0.17\", expect_size=\"33026048\"] \n  36 -> 40 [size =\"33026048\"]\n  36 -> 43 [size =\"33026048\"]\n  37 [size=\"71106560\", alpha=\"0.16\", expect_size=\"35553280\"] \n  37 -> 40 [size =\"35553280\"]\n  37 -> 41 [size =\"35553280\"]\n  37 -> 43 [size =\"35553280\"]\n  37 -> 44 [size =\"35553280\"]\n  37 -> 45 [size =\"35553280\"]\n  38 [size=\"81891328\", alpha=\"0.02\", expect_size=\"40945664\"] \n  38 -> 41 [size =\"40945664\"]\n  38 -> 42 [size =\"40945664\"]\n  38 -> 43 [size =\"40945664\"]\n  38 -> 44 [size =\"40945664\"]\n  38 -> 45 [size =\"40945664\"]\n  39 [size=\"20887552\", alpha=\"0.01\", expect_size=\"10443776\"] \n  39 -> 42 [size =\"10443776\"]\n  39 -> 45 [size =\"10443776\"]\n  40 [size=\"40904704\", alpha=\"0.18\", expect_size=\"20452352\"] \n  41 [size=\"33052672\", alpha=\"0.04\", expect_size=\"16526336\"] \n  42 [size=\"55160832\", alpha=\"0.00\", expect_size=\"27580416\"] \n  43 [size=\"95361024\", alpha=\"0.07\", expect_size=\"47680512\"] \n  44 [size=\"61102080\", alpha=\"0.18\", expect_size=\"30551040\"] \n  45 [size=\"91858944\", alpha=\"0.11\", expect_size=\"45929472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109796693\", alpha=\"0.02\", expect_size=\"32939008\"] \n  1 -> 2 [size =\"32939008\"]\n  2 [size=\"19947520\", alpha=\"0.10\", expect_size=\"5984256\"] \n  2 -> 3 [size =\"5984256\"]\n  3 [size=\"74646187\", alpha=\"0.15\", expect_size=\"22393856\"] \n  3 -> 4 [size =\"22393856\"]\n  4 [size=\"141888853\", alpha=\"0.08\", expect_size=\"42566656\"] \n  4 -> 5 [size =\"42566656\"]\n  5 [size=\"127744000\", alpha=\"0.14\", expect_size=\"38323200\"] \n  5 -> 6 [size =\"38323200\"]\n  6 [size=\"143967573\", alpha=\"0.19\", expect_size=\"43190272\"] \n  6 -> 7 [size =\"43190272\"]\n  7 [size=\"97000107\", alpha=\"0.13\", expect_size=\"29100032\"] \n  7 -> 8 [size =\"29100032\"]\n  8 [size=\"71652693\", alpha=\"0.06\", expect_size=\"21495808\"] \n  8 -> 9 [size =\"21495808\"]\n  9 [size=\"127156907\", alpha=\"0.16\", expect_size=\"38147072\"] \n  9 -> 10 [size =\"38147072\"]\n  10 [size=\"131358720\", alpha=\"0.10\", expect_size=\"39407616\"] \n  10 -> 11 [size =\"39407616\"]\n  11 [size=\"54555307\", alpha=\"0.02\", expect_size=\"16366592\"] \n  11 -> 12 [size =\"16366592\"]\n  12 [size=\"69198507\", alpha=\"0.02\", expect_size=\"20759552\"] \n  12 -> 13 [size =\"20759552\"]\n  13 [size=\"144377173\", alpha=\"0.04\", expect_size=\"43313152\"] \n  13 -> 14 [size =\"43313152\"]\n  14 [size=\"104615253\", alpha=\"0.15\", expect_size=\"31384576\"] \n  14 -> 15 [size =\"31384576\"]\n  15 [size=\"166686720\", alpha=\"0.10\", expect_size=\"50006016\"] \n  15 -> 16 [size =\"50006016\"]\n  16 [size=\"121204053\", alpha=\"0.04\", expect_size=\"36361216\"] \n  16 -> 17 [size =\"36361216\"]\n  17 [size=\"116906667\", alpha=\"0.16\", expect_size=\"35072000\"] \n  17 -> 18 [size =\"35072000\"]\n  18 [size=\"60835840\", alpha=\"0.15\", expect_size=\"18250752\"] \n  18 -> 19 [size =\"18250752\"]\n  19 [size=\"108137813\", alpha=\"0.03\", expect_size=\"32441344\"] \n  19 -> 20 [size =\"32441344\"]\n  20 [size=\"72820053\", alpha=\"0.00\", expect_size=\"21846016\"] \n  20 -> 21 [size =\"21846016\"]\n  21 [size=\"153886720\", alpha=\"0.09\", expect_size=\"46166016\"] \n  21 -> 22 [size =\"46166016\"]\n  22 [size=\"166034773\", alpha=\"0.18\", expect_size=\"49810432\"] \n  22 -> 23 [size =\"49810432\"]\n  23 [size=\"20578987\", alpha=\"0.15\", expect_size=\"6173696\"] \n  23 -> 24 [size =\"6173696\"]\n  24 [size=\"52476587\", alpha=\"0.07\", expect_size=\"15742976\"] \n  24 -> 25 [size =\"15742976\"]\n  25 [size=\"167386453\", alpha=\"0.13\", expect_size=\"50215936\"] \n  25 -> 26 [size =\"50215936\"]\n  26 [size=\"86091093\", alpha=\"0.16\", expect_size=\"25827328\"] \n  26 -> 27 [size =\"25827328\"]\n  27 [size=\"113797120\", alpha=\"0.08\", expect_size=\"34139136\"] \n  27 -> 28 [size =\"34139136\"]\n  28 [size=\"81646933\", alpha=\"0.07\", expect_size=\"24494080\"] \n  28 -> 29 [size =\"24494080\"]\n  29 [size=\"39673173\", alpha=\"0.01\", expect_size=\"11901952\"] \n  29 -> 30 [size =\"11901952\"]\n  30 [size=\"62494720\", alpha=\"0.09\", expect_size=\"18748416\"] \n  30 -> 31 [size =\"18748416\"]\n  31 [size=\"62784853\", alpha=\"0.01\", expect_size=\"18835456\"] \n  31 -> 32 [size =\"18835456\"]\n  32 [size=\"132860587\", alpha=\"0.00\", expect_size=\"39858176\"] \n  32 -> 33 [size =\"39858176\"]\n  33 [size=\"117913600\", alpha=\"0.15\", expect_size=\"35374080\"] \n  33 -> 34 [size =\"35374080\"]\n  34 [size=\"75113813\", alpha=\"0.02\", expect_size=\"22534144\"] \n  34 -> 35 [size =\"22534144\"]\n  35 [size=\"128880640\", alpha=\"0.07\", expect_size=\"38664192\"] \n  35 -> 36 [size =\"38664192\"]\n  36 [size=\"74902187\", alpha=\"0.06\", expect_size=\"22470656\"] \n  36 -> 37 [size =\"22470656\"]\n  37 [size=\"39680000\", alpha=\"0.17\", expect_size=\"11904000\"] \n  37 -> 38 [size =\"11904000\"]\n  38 [size=\"102734507\", alpha=\"0.13\", expect_size=\"30820352\"] \n  38 -> 39 [size =\"30820352\"]\n  39 [size=\"160962560\", alpha=\"0.01\", expect_size=\"48288768\"] \n  39 -> 40 [size =\"48288768\"]\n  40 [size=\"166751573\", alpha=\"0.17\", expect_size=\"50025472\"] \n  40 -> 41 [size =\"50025472\"]\n  41 [size=\"76707840\", alpha=\"0.09\", expect_size=\"23012352\"] \n  41 -> 42 [size =\"23012352\"]\n  42 [size=\"85193387\", alpha=\"0.01\", expect_size=\"25558016\"] \n  42 -> 43 [size =\"25558016\"]\n  43 [size=\"86647467\", alpha=\"0.13\", expect_size=\"25994240\"] \n  43 -> 44 [size =\"25994240\"]\n  44 [size=\"50684587\", alpha=\"0.09\", expect_size=\"15205376\"] \n  44 -> 45 [size =\"15205376\"]\n  45 [size=\"64443733\", alpha=\"0.04\", expect_size=\"19333120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110598827\", alpha=\"0.00\", expect_size=\"33179648\"] \n  1 -> 31 [size =\"33179648\"]\n  1 -> 33 [size =\"33179648\"]\n  1 -> 34 [size =\"33179648\"]\n  1 -> 35 [size =\"33179648\"]\n  1 -> 38 [size =\"33179648\"]\n  1 -> 40 [size =\"33179648\"]\n  1 -> 41 [size =\"33179648\"]\n  1 -> 43 [size =\"33179648\"]\n  2 [size=\"70045013\", alpha=\"0.02\", expect_size=\"21013504\"] \n  2 -> 32 [size =\"21013504\"]\n  2 -> 34 [size =\"21013504\"]\n  2 -> 35 [size =\"21013504\"]\n  2 -> 37 [size =\"21013504\"]\n  2 -> 38 [size =\"21013504\"]\n  2 -> 39 [size =\"21013504\"]\n  2 -> 40 [size =\"21013504\"]\n  2 -> 41 [size =\"21013504\"]\n  2 -> 42 [size =\"21013504\"]\n  2 -> 43 [size =\"21013504\"]\n  3 [size=\"138315093\", alpha=\"0.04\", expect_size=\"41494528\"] \n  3 -> 30 [size =\"41494528\"]\n  3 -> 31 [size =\"41494528\"]\n  3 -> 34 [size =\"41494528\"]\n  3 -> 37 [size =\"41494528\"]\n  3 -> 39 [size =\"41494528\"]\n  3 -> 40 [size =\"41494528\"]\n  3 -> 41 [size =\"41494528\"]\n  3 -> 43 [size =\"41494528\"]\n  4 [size=\"63907840\", alpha=\"0.12\", expect_size=\"19172352\"] \n  4 -> 31 [size =\"19172352\"]\n  4 -> 34 [size =\"19172352\"]\n  4 -> 35 [size =\"19172352\"]\n  4 -> 36 [size =\"19172352\"]\n  4 -> 38 [size =\"19172352\"]\n  4 -> 39 [size =\"19172352\"]\n  4 -> 41 [size =\"19172352\"]\n  5 [size=\"116022613\", alpha=\"0.09\", expect_size=\"34806784\"] \n  5 -> 30 [size =\"34806784\"]\n  5 -> 34 [size =\"34806784\"]\n  5 -> 38 [size =\"34806784\"]\n  5 -> 39 [size =\"34806784\"]\n  5 -> 40 [size =\"34806784\"]\n  5 -> 41 [size =\"34806784\"]\n  6 [size=\"168236373\", alpha=\"0.04\", expect_size=\"50470912\"] \n  6 -> 30 [size =\"50470912\"]\n  6 -> 35 [size =\"50470912\"]\n  6 -> 37 [size =\"50470912\"]\n  6 -> 40 [size =\"50470912\"]\n  6 -> 40 [size =\"50470912\"]\n  6 -> 41 [size =\"50470912\"]\n  7 [size=\"95136427\", alpha=\"0.14\", expect_size=\"28540928\"] \n  7 -> 28 [size =\"28540928\"]\n  7 -> 30 [size =\"28540928\"]\n  7 -> 31 [size =\"28540928\"]\n  7 -> 39 [size =\"28540928\"]\n  8 [size=\"44376747\", alpha=\"0.02\", expect_size=\"13313024\"] \n  8 -> 30 [size =\"13313024\"]\n  8 -> 31 [size =\"13313024\"]\n  8 -> 33 [size =\"13313024\"]\n  8 -> 35 [size =\"13313024\"]\n  8 -> 37 [size =\"13313024\"]\n  8 -> 38 [size =\"13313024\"]\n  9 [size=\"69522773\", alpha=\"0.10\", expect_size=\"20856832\"] \n  9 -> 37 [size =\"20856832\"]\n  9 -> 40 [size =\"20856832\"]\n  9 -> 45 [size =\"20856832\"]\n  10 [size=\"132625067\", alpha=\"0.13\", expect_size=\"39787520\"] \n  10 -> 29 [size =\"39787520\"]\n  10 -> 30 [size =\"39787520\"]\n  10 -> 38 [size =\"39787520\"]\n  10 -> 40 [size =\"39787520\"]\n  10 -> 41 [size =\"39787520\"]\n  10 -> 43 [size =\"39787520\"]\n  10 -> 45 [size =\"39787520\"]\n  11 [size=\"42082987\", alpha=\"0.14\", expect_size=\"12624896\"] \n  11 -> 32 [size =\"12624896\"]\n  11 -> 34 [size =\"12624896\"]\n  11 -> 35 [size =\"12624896\"]\n  11 -> 45 [size =\"12624896\"]\n  12 [size=\"42943147\", alpha=\"0.08\", expect_size=\"12882944\"] \n  12 -> 32 [size =\"12882944\"]\n  12 -> 35 [size =\"12882944\"]\n  12 -> 38 [size =\"12882944\"]\n  12 -> 45 [size =\"12882944\"]\n  13 [size=\"59306667\", alpha=\"0.18\", expect_size=\"17792000\"] \n  13 -> 28 [size =\"17792000\"]\n  13 -> 31 [size =\"17792000\"]\n  13 -> 32 [size =\"17792000\"]\n  13 -> 35 [size =\"17792000\"]\n  13 -> 37 [size =\"17792000\"]\n  13 -> 38 [size =\"17792000\"]\n  13 -> 41 [size =\"17792000\"]\n  13 -> 42 [size =\"17792000\"]\n  14 [size=\"89620480\", alpha=\"0.20\", expect_size=\"26886144\"] \n  14 -> 30 [size =\"26886144\"]\n  14 -> 31 [size =\"26886144\"]\n  14 -> 34 [size =\"26886144\"]\n  14 -> 40 [size =\"26886144\"]\n  14 -> 41 [size =\"26886144\"]\n  14 -> 45 [size =\"26886144\"]\n  15 [size=\"24910507\", alpha=\"0.14\", expect_size=\"7473152\"] \n  15 -> 30 [size =\"7473152\"]\n  15 -> 31 [size =\"7473152\"]\n  15 -> 32 [size =\"7473152\"]\n  15 -> 36 [size =\"7473152\"]\n  16 [size=\"94859947\", alpha=\"0.01\", expect_size=\"28457984\"] \n  16 -> 30 [size =\"28457984\"]\n  16 -> 32 [size =\"28457984\"]\n  16 -> 35 [size =\"28457984\"]\n  16 -> 40 [size =\"28457984\"]\n  16 -> 41 [size =\"28457984\"]\n  17 [size=\"127713280\", alpha=\"0.16\", expect_size=\"38313984\"] \n  17 -> 30 [size =\"38313984\"]\n  17 -> 37 [size =\"38313984\"]\n  17 -> 45 [size =\"38313984\"]\n  18 [size=\"76663467\", alpha=\"0.13\", expect_size=\"22999040\"] \n  18 -> 30 [size =\"22999040\"]\n  18 -> 31 [size =\"22999040\"]\n  18 -> 36 [size =\"22999040\"]\n  18 -> 38 [size =\"22999040\"]\n  18 -> 43 [size =\"22999040\"]\n  18 -> 45 [size =\"22999040\"]\n  19 [size=\"93484373\", alpha=\"0.15\", expect_size=\"28045312\"] \n  19 -> 30 [size =\"28045312\"]\n  19 -> 31 [size =\"28045312\"]\n  19 -> 32 [size =\"28045312\"]\n  19 -> 34 [size =\"28045312\"]\n  19 -> 35 [size =\"28045312\"]\n  19 -> 36 [size =\"28045312\"]\n  19 -> 37 [size =\"28045312\"]\n  20 [size=\"172533760\", alpha=\"0.09\", expect_size=\"51760128\"] \n  20 -> 34 [size =\"51760128\"]\n  20 -> 37 [size =\"51760128\"]\n  20 -> 43 [size =\"51760128\"]\n  21 [size=\"119927467\", alpha=\"0.14\", expect_size=\"35978240\"] \n  21 -> 33 [size =\"35978240\"]\n  21 -> 34 [size =\"35978240\"]\n  21 -> 36 [size =\"35978240\"]\n  21 -> 40 [size =\"35978240\"]\n  21 -> 43 [size =\"35978240\"]\n  22 [size=\"75171840\", alpha=\"0.06\", expect_size=\"22551552\"] \n  22 -> 30 [size =\"22551552\"]\n  22 -> 36 [size =\"22551552\"]\n  22 -> 39 [size =\"22551552\"]\n  22 -> 41 [size =\"22551552\"]\n  22 -> 43 [size =\"22551552\"]\n  22 -> 45 [size =\"22551552\"]\n  23 [size=\"141974187\", alpha=\"0.14\", expect_size=\"42592256\"] \n  23 -> 28 [size =\"42592256\"]\n  23 -> 30 [size =\"42592256\"]\n  23 -> 35 [size =\"42592256\"]\n  23 -> 37 [size =\"42592256\"]\n  23 -> 39 [size =\"42592256\"]\n  23 -> 41 [size =\"42592256\"]\n  23 -> 43 [size =\"42592256\"]\n  23 -> 45 [size =\"42592256\"]\n  24 [size=\"128249173\", alpha=\"0.07\", expect_size=\"38474752\"] \n  24 -> 30 [size =\"38474752\"]\n  24 -> 31 [size =\"38474752\"]\n  24 -> 35 [size =\"38474752\"]\n  24 -> 37 [size =\"38474752\"]\n  24 -> 43 [size =\"38474752\"]\n  24 -> 45 [size =\"38474752\"]\n  25 [size=\"125426347\", alpha=\"0.13\", expect_size=\"37627904\"] \n  25 -> 28 [size =\"37627904\"]\n  25 -> 30 [size =\"37627904\"]\n  25 -> 31 [size =\"37627904\"]\n  25 -> 33 [size =\"37627904\"]\n  25 -> 34 [size =\"37627904\"]\n  25 -> 35 [size =\"37627904\"]\n  25 -> 36 [size =\"37627904\"]\n  25 -> 37 [size =\"37627904\"]\n  25 -> 39 [size =\"37627904\"]\n  25 -> 41 [size =\"37627904\"]\n  25 -> 45 [size =\"37627904\"]\n  26 [size=\"82169173\", alpha=\"0.18\", expect_size=\"24650752\"] \n  26 -> 31 [size =\"24650752\"]\n  26 -> 34 [size =\"24650752\"]\n  26 -> 35 [size =\"24650752\"]\n  26 -> 38 [size =\"24650752\"]\n  26 -> 44 [size =\"24650752\"]\n  26 -> 45 [size =\"24650752\"]\n  27 [size=\"90019840\", alpha=\"0.13\", expect_size=\"27005952\"] \n  27 -> 31 [size =\"27005952\"]\n  27 -> 33 [size =\"27005952\"]\n  27 -> 34 [size =\"27005952\"]\n  27 -> 38 [size =\"27005952\"]\n  27 -> 40 [size =\"27005952\"]\n  27 -> 43 [size =\"27005952\"]\n  28 [size=\"57125547\", alpha=\"0.11\", expect_size=\"17137664\"] \n  29 [size=\"159962453\", alpha=\"0.16\", expect_size=\"47988736\"] \n  30 [size=\"124388693\", alpha=\"0.16\", expect_size=\"37316608\"] \n  31 [size=\"38096213\", alpha=\"0.19\", expect_size=\"11428864\"] \n  32 [size=\"151490560\", alpha=\"0.05\", expect_size=\"45447168\"] \n  33 [size=\"45284693\", alpha=\"0.16\", expect_size=\"13585408\"] \n  34 [size=\"154890240\", alpha=\"0.16\", expect_size=\"46467072\"] \n  35 [size=\"54879573\", alpha=\"0.18\", expect_size=\"16463872\"] \n  36 [size=\"158375253\", alpha=\"0.09\", expect_size=\"47512576\"] \n  37 [size=\"144278187\", alpha=\"0.14\", expect_size=\"43283456\"] \n  38 [size=\"90248533\", alpha=\"0.07\", expect_size=\"27074560\"] \n  39 [size=\"23193600\", alpha=\"0.10\", expect_size=\"6958080\"] \n  40 [size=\"152442880\", alpha=\"0.12\", expect_size=\"45732864\"] \n  41 [size=\"121289387\", alpha=\"0.07\", expect_size=\"36386816\"] \n  42 [size=\"111629653\", alpha=\"0.10\", expect_size=\"33488896\"] \n  43 [size=\"148933973\", alpha=\"0.08\", expect_size=\"44680192\"] \n  44 [size=\"117746347\", alpha=\"0.00\", expect_size=\"35323904\"] \n  45 [size=\"90217813\", alpha=\"0.07\", expect_size=\"27065344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77062827\", alpha=\"0.04\", expect_size=\"23118848\"] \n  1 -> 10 [size =\"23118848\"]\n  2 [size=\"114793813\", alpha=\"0.14\", expect_size=\"34438144\"] \n  2 -> 9 [size =\"34438144\"]\n  2 -> 10 [size =\"34438144\"]\n  2 -> 12 [size =\"34438144\"]\n  3 [size=\"34727253\", alpha=\"0.16\", expect_size=\"10418176\"] \n  3 -> 10 [size =\"10418176\"]\n  3 -> 12 [size =\"10418176\"]\n  3 -> 12 [size =\"10418176\"]\n  4 [size=\"94115840\", alpha=\"0.01\", expect_size=\"28234752\"] \n  4 -> 10 [size =\"28234752\"]\n  4 -> 11 [size =\"28234752\"]\n  5 [size=\"117992107\", alpha=\"0.02\", expect_size=\"35397632\"] \n  5 -> 10 [size =\"35397632\"]\n  5 -> 11 [size =\"35397632\"]\n  5 -> 12 [size =\"35397632\"]\n  6 [size=\"82650453\", alpha=\"0.11\", expect_size=\"24795136\"] \n  6 -> 9 [size =\"24795136\"]\n  6 -> 10 [size =\"24795136\"]\n  6 -> 11 [size =\"24795136\"]\n  6 -> 13 [size =\"24795136\"]\n  7 [size=\"57132373\", alpha=\"0.14\", expect_size=\"17139712\"] \n  7 -> 8 [size =\"17139712\"]\n  7 -> 9 [size =\"17139712\"]\n  7 -> 10 [size =\"17139712\"]\n  7 -> 11 [size =\"17139712\"]\n  7 -> 12 [size =\"17139712\"]\n  8 [size=\"74448213\", alpha=\"0.11\", expect_size=\"22334464\"] \n  8 -> 14 [size =\"22334464\"]\n  8 -> 18 [size =\"22334464\"]\n  8 -> 19 [size =\"22334464\"]\n  9 [size=\"35345067\", alpha=\"0.15\", expect_size=\"10603520\"] \n  9 -> 14 [size =\"10603520\"]\n  9 -> 16 [size =\"10603520\"]\n  9 -> 17 [size =\"10603520\"]\n  9 -> 18 [size =\"10603520\"]\n  9 -> 19 [size =\"10603520\"]\n  10 [size=\"172898987\", alpha=\"0.04\", expect_size=\"51869696\"] \n  10 -> 14 [size =\"51869696\"]\n  10 -> 18 [size =\"51869696\"]\n  10 -> 19 [size =\"51869696\"]\n  11 [size=\"124975787\", alpha=\"0.07\", expect_size=\"37492736\"] \n  11 -> 14 [size =\"37492736\"]\n  11 -> 16 [size =\"37492736\"]\n  11 -> 18 [size =\"37492736\"]\n  12 [size=\"158484480\", alpha=\"0.14\", expect_size=\"47545344\"] \n  12 -> 14 [size =\"47545344\"]\n  12 -> 15 [size =\"47545344\"]\n  12 -> 17 [size =\"47545344\"]\n  12 -> 18 [size =\"47545344\"]\n  12 -> 19 [size =\"47545344\"]\n  13 [size=\"110305280\", alpha=\"0.08\", expect_size=\"33091584\"] \n  13 -> 17 [size =\"33091584\"]\n  13 -> 18 [size =\"33091584\"]\n  14 [size=\"80366933\", alpha=\"0.02\", expect_size=\"24110080\"] \n  14 -> 20 [size =\"24110080\"]\n  14 -> 21 [size =\"24110080\"]\n  14 -> 23 [size =\"24110080\"]\n  15 [size=\"85783893\", alpha=\"0.19\", expect_size=\"25735168\"] \n  15 -> 20 [size =\"25735168\"]\n  15 -> 21 [size =\"25735168\"]\n  15 -> 23 [size =\"25735168\"]\n  16 [size=\"98846720\", alpha=\"0.05\", expect_size=\"29654016\"] \n  16 -> 20 [size =\"29654016\"]\n  16 -> 21 [size =\"29654016\"]\n  16 -> 23 [size =\"29654016\"]\n  17 [size=\"30832640\", alpha=\"0.15\", expect_size=\"9249792\"] \n  17 -> 20 [size =\"9249792\"]\n  17 -> 21 [size =\"9249792\"]\n  17 -> 23 [size =\"9249792\"]\n  18 [size=\"139304960\", alpha=\"0.03\", expect_size=\"41791488\"] \n  18 -> 22 [size =\"41791488\"]\n  18 -> 23 [size =\"41791488\"]\n  19 [size=\"71529813\", alpha=\"0.05\", expect_size=\"21458944\"] \n  19 -> 21 [size =\"21458944\"]\n  20 [size=\"33597440\", alpha=\"0.03\", expect_size=\"10079232\"] \n  20 -> 24 [size =\"10079232\"]\n  20 -> 25 [size =\"10079232\"]\n  20 -> 26 [size =\"10079232\"]\n  20 -> 27 [size =\"10079232\"]\n  20 -> 28 [size =\"10079232\"]\n  20 -> 30 [size =\"10079232\"]\n  21 [size=\"63416320\", alpha=\"0.08\", expect_size=\"19024896\"] \n  21 -> 25 [size =\"19024896\"]\n  21 -> 25 [size =\"19024896\"]\n  21 -> 26 [size =\"19024896\"]\n  21 -> 27 [size =\"19024896\"]\n  22 [size=\"117855573\", alpha=\"0.06\", expect_size=\"35356672\"] \n  22 -> 24 [size =\"35356672\"]\n  22 -> 26 [size =\"35356672\"]\n  22 -> 27 [size =\"35356672\"]\n  22 -> 30 [size =\"35356672\"]\n  23 [size=\"73332053\", alpha=\"0.05\", expect_size=\"21999616\"] \n  23 -> 25 [size =\"21999616\"]\n  23 -> 27 [size =\"21999616\"]\n  23 -> 29 [size =\"21999616\"]\n  24 [size=\"132737707\", alpha=\"0.15\", expect_size=\"39821312\"] \n  24 -> 31 [size =\"39821312\"]\n  24 -> 33 [size =\"39821312\"]\n  24 -> 34 [size =\"39821312\"]\n  24 -> 35 [size =\"39821312\"]\n  24 -> 36 [size =\"39821312\"]\n  25 [size=\"146476373\", alpha=\"0.17\", expect_size=\"43942912\"] \n  25 -> 31 [size =\"43942912\"]\n  25 -> 33 [size =\"43942912\"]\n  25 -> 34 [size =\"43942912\"]\n  25 -> 35 [size =\"43942912\"]\n  25 -> 36 [size =\"43942912\"]\n  26 [size=\"136202240\", alpha=\"0.08\", expect_size=\"40860672\"] \n  26 -> 31 [size =\"40860672\"]\n  26 -> 33 [size =\"40860672\"]\n  26 -> 34 [size =\"40860672\"]\n  26 -> 35 [size =\"40860672\"]\n  27 [size=\"18920107\", alpha=\"0.03\", expect_size=\"5676032\"] \n  27 -> 33 [size =\"5676032\"]\n  28 [size=\"138837333\", alpha=\"0.06\", expect_size=\"41651200\"] \n  28 -> 31 [size =\"41651200\"]\n  28 -> 32 [size =\"41651200\"]\n  28 -> 33 [size =\"41651200\"]\n  28 -> 34 [size =\"41651200\"]\n  29 [size=\"165355520\", alpha=\"0.11\", expect_size=\"49606656\"] \n  29 -> 33 [size =\"49606656\"]\n  29 -> 34 [size =\"49606656\"]\n  29 -> 35 [size =\"49606656\"]\n  30 [size=\"50783573\", alpha=\"0.16\", expect_size=\"15235072\"] \n  30 -> 31 [size =\"15235072\"]\n  30 -> 33 [size =\"15235072\"]\n  30 -> 34 [size =\"15235072\"]\n  30 -> 36 [size =\"15235072\"]\n  31 [size=\"74366293\", alpha=\"0.14\", expect_size=\"22309888\"] \n  31 -> 38 [size =\"22309888\"]\n  31 -> 39 [size =\"22309888\"]\n  31 -> 41 [size =\"22309888\"]\n  32 [size=\"138400427\", alpha=\"0.11\", expect_size=\"41520128\"] \n  32 -> 37 [size =\"41520128\"]\n  32 -> 38 [size =\"41520128\"]\n  32 -> 39 [size =\"41520128\"]\n  32 -> 40 [size =\"41520128\"]\n  32 -> 41 [size =\"41520128\"]\n  33 [size=\"25637547\", alpha=\"0.19\", expect_size=\"7691264\"] \n  33 -> 40 [size =\"7691264\"]\n  34 [size=\"67901440\", alpha=\"0.15\", expect_size=\"20370432\"] \n  34 -> 39 [size =\"20370432\"]\n  34 -> 41 [size =\"20370432\"]\n  35 [size=\"27258880\", alpha=\"0.00\", expect_size=\"8177664\"] \n  36 [size=\"161512107\", alpha=\"0.16\", expect_size=\"48453632\"] \n  36 -> 41 [size =\"48453632\"]\n  37 [size=\"63982933\", alpha=\"0.13\", expect_size=\"19194880\"] \n  37 -> 42 [size =\"19194880\"]\n  37 -> 43 [size =\"19194880\"]\n  37 -> 44 [size =\"19194880\"]\n  37 -> 45 [size =\"19194880\"]\n  38 [size=\"88896853\", alpha=\"0.05\", expect_size=\"26669056\"] \n  38 -> 42 [size =\"26669056\"]\n  38 -> 43 [size =\"26669056\"]\n  38 -> 44 [size =\"26669056\"]\n  38 -> 45 [size =\"26669056\"]\n  39 [size=\"135946240\", alpha=\"0.04\", expect_size=\"40783872\"] \n  39 -> 42 [size =\"40783872\"]\n  39 -> 43 [size =\"40783872\"]\n  40 [size=\"65710080\", alpha=\"0.06\", expect_size=\"19713024\"] \n  40 -> 42 [size =\"19713024\"]\n  40 -> 43 [size =\"19713024\"]\n  40 -> 45 [size =\"19713024\"]\n  41 [size=\"33614507\", alpha=\"0.13\", expect_size=\"10084352\"] \n  41 -> 42 [size =\"10084352\"]\n  41 -> 43 [size =\"10084352\"]\n  41 -> 44 [size =\"10084352\"]\n  41 -> 45 [size =\"10084352\"]\n  42 [size=\"147159040\", alpha=\"0.13\", expect_size=\"44147712\"] \n  43 [size=\"75502933\", alpha=\"0.00\", expect_size=\"22650880\"] \n  44 [size=\"68758187\", alpha=\"0.02\", expect_size=\"20627456\"] \n  45 [size=\"32532480\", alpha=\"0.00\", expect_size=\"9759744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70932480\", alpha=\"0.05\", expect_size=\"21279744\"] \n  1 -> 22 [size =\"21279744\"]\n  1 -> 25 [size =\"21279744\"]\n  1 -> 28 [size =\"21279744\"]\n  1 -> 29 [size =\"21279744\"]\n  1 -> 35 [size =\"21279744\"]\n  2 [size=\"122030080\", alpha=\"0.00\", expect_size=\"36609024\"] \n  2 -> 20 [size =\"36609024\"]\n  2 -> 22 [size =\"36609024\"]\n  2 -> 24 [size =\"36609024\"]\n  2 -> 26 [size =\"36609024\"]\n  2 -> 30 [size =\"36609024\"]\n  2 -> 32 [size =\"36609024\"]\n  3 [size=\"149640533\", alpha=\"0.19\", expect_size=\"44892160\"] \n  3 -> 22 [size =\"44892160\"]\n  3 -> 24 [size =\"44892160\"]\n  3 -> 31 [size =\"44892160\"]\n  3 -> 33 [size =\"44892160\"]\n  3 -> 35 [size =\"44892160\"]\n  4 [size=\"126132907\", alpha=\"0.12\", expect_size=\"37839872\"] \n  4 -> 22 [size =\"37839872\"]\n  4 -> 24 [size =\"37839872\"]\n  4 -> 27 [size =\"37839872\"]\n  4 -> 29 [size =\"37839872\"]\n  4 -> 32 [size =\"37839872\"]\n  4 -> 33 [size =\"37839872\"]\n  4 -> 34 [size =\"37839872\"]\n  5 [size=\"33351680\", alpha=\"0.11\", expect_size=\"10005504\"] \n  5 -> 23 [size =\"10005504\"]\n  5 -> 29 [size =\"10005504\"]\n  5 -> 32 [size =\"10005504\"]\n  5 -> 33 [size =\"10005504\"]\n  6 [size=\"36560213\", alpha=\"0.16\", expect_size=\"10968064\"] \n  6 -> 19 [size =\"10968064\"]\n  6 -> 25 [size =\"10968064\"]\n  6 -> 28 [size =\"10968064\"]\n  6 -> 30 [size =\"10968064\"]\n  6 -> 31 [size =\"10968064\"]\n  6 -> 32 [size =\"10968064\"]\n  6 -> 33 [size =\"10968064\"]\n  6 -> 34 [size =\"10968064\"]\n  6 -> 35 [size =\"10968064\"]\n  7 [size=\"93934933\", alpha=\"0.14\", expect_size=\"28180480\"] \n  7 -> 19 [size =\"28180480\"]\n  7 -> 21 [size =\"28180480\"]\n  7 -> 22 [size =\"28180480\"]\n  7 -> 24 [size =\"28180480\"]\n  7 -> 25 [size =\"28180480\"]\n  7 -> 28 [size =\"28180480\"]\n  7 -> 29 [size =\"28180480\"]\n  7 -> 31 [size =\"28180480\"]\n  7 -> 32 [size =\"28180480\"]\n  7 -> 33 [size =\"28180480\"]\n  7 -> 35 [size =\"28180480\"]\n  8 [size=\"67068587\", alpha=\"0.14\", expect_size=\"20120576\"] \n  8 -> 21 [size =\"20120576\"]\n  8 -> 22 [size =\"20120576\"]\n  8 -> 30 [size =\"20120576\"]\n  8 -> 32 [size =\"20120576\"]\n  8 -> 33 [size =\"20120576\"]\n  9 [size=\"165754880\", alpha=\"0.11\", expect_size=\"49726464\"] \n  9 -> 24 [size =\"49726464\"]\n  9 -> 29 [size =\"49726464\"]\n  9 -> 33 [size =\"49726464\"]\n  10 [size=\"126064640\", alpha=\"0.12\", expect_size=\"37819392\"] \n  10 -> 20 [size =\"37819392\"]\n  10 -> 22 [size =\"37819392\"]\n  10 -> 23 [size =\"37819392\"]\n  10 -> 24 [size =\"37819392\"]\n  10 -> 29 [size =\"37819392\"]\n  10 -> 31 [size =\"37819392\"]\n  10 -> 33 [size =\"37819392\"]\n  10 -> 35 [size =\"37819392\"]\n  11 [size=\"96522240\", alpha=\"0.17\", expect_size=\"28956672\"] \n  11 -> 25 [size =\"28956672\"]\n  11 -> 26 [size =\"28956672\"]\n  11 -> 27 [size =\"28956672\"]\n  11 -> 28 [size =\"28956672\"]\n  11 -> 29 [size =\"28956672\"]\n  12 [size=\"132529493\", alpha=\"0.13\", expect_size=\"39758848\"] \n  12 -> 21 [size =\"39758848\"]\n  12 -> 22 [size =\"39758848\"]\n  12 -> 25 [size =\"39758848\"]\n  12 -> 28 [size =\"39758848\"]\n  12 -> 33 [size =\"39758848\"]\n  12 -> 34 [size =\"39758848\"]\n  13 [size=\"133147307\", alpha=\"0.18\", expect_size=\"39944192\"] \n  13 -> 20 [size =\"39944192\"]\n  13 -> 21 [size =\"39944192\"]\n  13 -> 24 [size =\"39944192\"]\n  13 -> 25 [size =\"39944192\"]\n  13 -> 28 [size =\"39944192\"]\n  13 -> 31 [size =\"39944192\"]\n  13 -> 32 [size =\"39944192\"]\n  14 [size=\"126733653\", alpha=\"0.05\", expect_size=\"38020096\"] \n  14 -> 19 [size =\"38020096\"]\n  14 -> 20 [size =\"38020096\"]\n  14 -> 21 [size =\"38020096\"]\n  14 -> 22 [size =\"38020096\"]\n  14 -> 25 [size =\"38020096\"]\n  14 -> 29 [size =\"38020096\"]\n  14 -> 32 [size =\"38020096\"]\n  14 -> 35 [size =\"38020096\"]\n  15 [size=\"65805653\", alpha=\"0.08\", expect_size=\"19741696\"] \n  15 -> 19 [size =\"19741696\"]\n  15 -> 20 [size =\"19741696\"]\n  15 -> 25 [size =\"19741696\"]\n  15 -> 28 [size =\"19741696\"]\n  15 -> 29 [size =\"19741696\"]\n  15 -> 33 [size =\"19741696\"]\n  15 -> 35 [size =\"19741696\"]\n  16 [size=\"150599680\", alpha=\"0.06\", expect_size=\"45179904\"] \n  16 -> 22 [size =\"45179904\"]\n  16 -> 25 [size =\"45179904\"]\n  16 -> 26 [size =\"45179904\"]\n  16 -> 30 [size =\"45179904\"]\n  16 -> 31 [size =\"45179904\"]\n  17 [size=\"120920747\", alpha=\"0.16\", expect_size=\"36276224\"] \n  17 -> 20 [size =\"36276224\"]\n  17 -> 24 [size =\"36276224\"]\n  17 -> 28 [size =\"36276224\"]\n  17 -> 31 [size =\"36276224\"]\n  17 -> 33 [size =\"36276224\"]\n  18 [size=\"72021333\", alpha=\"0.18\", expect_size=\"21606400\"] \n  18 -> 20 [size =\"21606400\"]\n  18 -> 21 [size =\"21606400\"]\n  18 -> 24 [size =\"21606400\"]\n  18 -> 26 [size =\"21606400\"]\n  18 -> 28 [size =\"21606400\"]\n  18 -> 29 [size =\"21606400\"]\n  18 -> 30 [size =\"21606400\"]\n  18 -> 31 [size =\"21606400\"]\n  18 -> 35 [size =\"21606400\"]\n  19 [size=\"26415787\", alpha=\"0.16\", expect_size=\"7924736\"] \n  20 [size=\"110598827\", alpha=\"0.16\", expect_size=\"33179648\"] \n  20 -> 37 [size =\"33179648\"]\n  20 -> 41 [size =\"33179648\"]\n  20 -> 43 [size =\"33179648\"]\n  21 [size=\"50981547\", alpha=\"0.04\", expect_size=\"15294464\"] \n  21 -> 37 [size =\"15294464\"]\n  21 -> 42 [size =\"15294464\"]\n  22 [size=\"31061333\", alpha=\"0.04\", expect_size=\"9318400\"] \n  22 -> 36 [size =\"9318400\"]\n  22 -> 37 [size =\"9318400\"]\n  22 -> 40 [size =\"9318400\"]\n  22 -> 42 [size =\"9318400\"]\n  22 -> 43 [size =\"9318400\"]\n  22 -> 45 [size =\"9318400\"]\n  23 [size=\"136495787\", alpha=\"0.01\", expect_size=\"40948736\"] \n  23 -> 36 [size =\"40948736\"]\n  23 -> 37 [size =\"40948736\"]\n  23 -> 38 [size =\"40948736\"]\n  23 -> 42 [size =\"40948736\"]\n  23 -> 45 [size =\"40948736\"]\n  24 [size=\"123303253\", alpha=\"0.12\", expect_size=\"36990976\"] \n  24 -> 36 [size =\"36990976\"]\n  24 -> 37 [size =\"36990976\"]\n  24 -> 41 [size =\"36990976\"]\n  24 -> 42 [size =\"36990976\"]\n  24 -> 45 [size =\"36990976\"]\n  25 [size=\"159460693\", alpha=\"0.06\", expect_size=\"47838208\"] \n  25 -> 36 [size =\"47838208\"]\n  25 -> 39 [size =\"47838208\"]\n  25 -> 41 [size =\"47838208\"]\n  25 -> 45 [size =\"47838208\"]\n  26 [size=\"68631893\", alpha=\"0.01\", expect_size=\"20589568\"] \n  26 -> 36 [size =\"20589568\"]\n  26 -> 39 [size =\"20589568\"]\n  26 -> 45 [size =\"20589568\"]\n  26 -> 45 [size =\"20589568\"]\n  27 [size=\"116497067\", alpha=\"0.06\", expect_size=\"34949120\"] \n  27 -> 42 [size =\"34949120\"]\n  27 -> 44 [size =\"34949120\"]\n  28 [size=\"88405333\", alpha=\"0.18\", expect_size=\"26521600\"] \n  28 -> 36 [size =\"26521600\"]\n  28 -> 41 [size =\"26521600\"]\n  28 -> 42 [size =\"26521600\"]\n  28 -> 43 [size =\"26521600\"]\n  29 [size=\"69795840\", alpha=\"0.08\", expect_size=\"20938752\"] \n  29 -> 36 [size =\"20938752\"]\n  29 -> 45 [size =\"20938752\"]\n  30 [size=\"37922133\", alpha=\"0.13\", expect_size=\"11376640\"] \n  30 -> 36 [size =\"11376640\"]\n  30 -> 37 [size =\"11376640\"]\n  30 -> 39 [size =\"11376640\"]\n  30 -> 41 [size =\"11376640\"]\n  30 -> 43 [size =\"11376640\"]\n  30 -> 45 [size =\"11376640\"]\n  31 [size=\"166495573\", alpha=\"0.07\", expect_size=\"49948672\"] \n  31 -> 36 [size =\"49948672\"]\n  31 -> 37 [size =\"49948672\"]\n  31 -> 44 [size =\"49948672\"]\n  32 [size=\"37113173\", alpha=\"0.16\", expect_size=\"11133952\"] \n  32 -> 37 [size =\"11133952\"]\n  32 -> 42 [size =\"11133952\"]\n  33 [size=\"68904960\", alpha=\"0.20\", expect_size=\"20671488\"] \n  33 -> 36 [size =\"20671488\"]\n  34 [size=\"79465813\", alpha=\"0.17\", expect_size=\"23839744\"] \n  34 -> 38 [size =\"23839744\"]\n  34 -> 41 [size =\"23839744\"]\n  34 -> 43 [size =\"23839744\"]\n  35 [size=\"20162560\", alpha=\"0.01\", expect_size=\"6048768\"] \n  35 -> 37 [size =\"6048768\"]\n  35 -> 41 [size =\"6048768\"]\n  36 [size=\"64160427\", alpha=\"0.01\", expect_size=\"19248128\"] \n  37 [size=\"73260373\", alpha=\"0.15\", expect_size=\"21978112\"] \n  38 [size=\"123921067\", alpha=\"0.16\", expect_size=\"37176320\"] \n  39 [size=\"108451840\", alpha=\"0.18\", expect_size=\"32535552\"] \n  40 [size=\"17844907\", alpha=\"0.11\", expect_size=\"5353472\"] \n  41 [size=\"117978453\", alpha=\"0.09\", expect_size=\"35393536\"] \n  42 [size=\"173329067\", alpha=\"0.09\", expect_size=\"51998720\"] \n  43 [size=\"141660160\", alpha=\"0.04\", expect_size=\"42498048\"] \n  44 [size=\"138649600\", alpha=\"0.12\", expect_size=\"41594880\"] \n  45 [size=\"116268373\", alpha=\"0.18\", expect_size=\"34880512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160802133\", alpha=\"0.02\", expect_size=\"48240640\"] \n  1 -> 29 [size =\"48240640\"]\n  1 -> 31 [size =\"48240640\"]\n  1 -> 31 [size =\"48240640\"]\n  1 -> 36 [size =\"48240640\"]\n  1 -> 37 [size =\"48240640\"]\n  1 -> 38 [size =\"48240640\"]\n  1 -> 42 [size =\"48240640\"]\n  1 -> 45 [size =\"48240640\"]\n  2 [size=\"121801387\", alpha=\"0.18\", expect_size=\"36540416\"] \n  2 -> 27 [size =\"36540416\"]\n  2 -> 29 [size =\"36540416\"]\n  2 -> 33 [size =\"36540416\"]\n  2 -> 39 [size =\"36540416\"]\n  2 -> 42 [size =\"36540416\"]\n  2 -> 45 [size =\"36540416\"]\n  3 [size=\"112851627\", alpha=\"0.15\", expect_size=\"33855488\"] \n  3 -> 27 [size =\"33855488\"]\n  3 -> 32 [size =\"33855488\"]\n  3 -> 35 [size =\"33855488\"]\n  3 -> 37 [size =\"33855488\"]\n  3 -> 39 [size =\"33855488\"]\n  3 -> 44 [size =\"33855488\"]\n  4 [size=\"139069440\", alpha=\"0.08\", expect_size=\"41720832\"] \n  4 -> 27 [size =\"41720832\"]\n  4 -> 33 [size =\"41720832\"]\n  4 -> 44 [size =\"41720832\"]\n  5 [size=\"109376853\", alpha=\"0.01\", expect_size=\"32813056\"] \n  5 -> 27 [size =\"32813056\"]\n  5 -> 29 [size =\"32813056\"]\n  5 -> 32 [size =\"32813056\"]\n  5 -> 33 [size =\"32813056\"]\n  5 -> 35 [size =\"32813056\"]\n  5 -> 39 [size =\"32813056\"]\n  5 -> 44 [size =\"32813056\"]\n  6 [size=\"104649387\", alpha=\"0.14\", expect_size=\"31394816\"] \n  6 -> 33 [size =\"31394816\"]\n  6 -> 35 [size =\"31394816\"]\n  6 -> 36 [size =\"31394816\"]\n  6 -> 37 [size =\"31394816\"]\n  7 [size=\"86760107\", alpha=\"0.08\", expect_size=\"26028032\"] \n  7 -> 30 [size =\"26028032\"]\n  7 -> 31 [size =\"26028032\"]\n  7 -> 32 [size =\"26028032\"]\n  7 -> 35 [size =\"26028032\"]\n  7 -> 39 [size =\"26028032\"]\n  7 -> 40 [size =\"26028032\"]\n  7 -> 42 [size =\"26028032\"]\n  8 [size=\"161129813\", alpha=\"0.00\", expect_size=\"48338944\"] \n  8 -> 29 [size =\"48338944\"]\n  8 -> 34 [size =\"48338944\"]\n  8 -> 35 [size =\"48338944\"]\n  8 -> 39 [size =\"48338944\"]\n  8 -> 41 [size =\"48338944\"]\n  8 -> 42 [size =\"48338944\"]\n  9 [size=\"113216853\", alpha=\"0.02\", expect_size=\"33965056\"] \n  9 -> 30 [size =\"33965056\"]\n  9 -> 32 [size =\"33965056\"]\n  9 -> 39 [size =\"33965056\"]\n  9 -> 40 [size =\"33965056\"]\n  9 -> 44 [size =\"33965056\"]\n  10 [size=\"39294293\", alpha=\"0.08\", expect_size=\"11788288\"] \n  10 -> 36 [size =\"11788288\"]\n  10 -> 37 [size =\"11788288\"]\n  10 -> 38 [size =\"11788288\"]\n  10 -> 39 [size =\"11788288\"]\n  11 [size=\"103471787\", alpha=\"0.07\", expect_size=\"31041536\"] \n  11 -> 29 [size =\"31041536\"]\n  11 -> 35 [size =\"31041536\"]\n  11 -> 40 [size =\"31041536\"]\n  11 -> 42 [size =\"31041536\"]\n  11 -> 43 [size =\"31041536\"]\n  11 -> 44 [size =\"31041536\"]\n  12 [size=\"121702400\", alpha=\"0.05\", expect_size=\"36510720\"] \n  12 -> 27 [size =\"36510720\"]\n  12 -> 29 [size =\"36510720\"]\n  12 -> 35 [size =\"36510720\"]\n  12 -> 39 [size =\"36510720\"]\n  12 -> 44 [size =\"36510720\"]\n  13 [size=\"103086080\", alpha=\"0.05\", expect_size=\"30925824\"] \n  13 -> 27 [size =\"30925824\"]\n  13 -> 31 [size =\"30925824\"]\n  13 -> 34 [size =\"30925824\"]\n  13 -> 37 [size =\"30925824\"]\n  13 -> 39 [size =\"30925824\"]\n  13 -> 40 [size =\"30925824\"]\n  13 -> 44 [size =\"30925824\"]\n  14 [size=\"65085440\", alpha=\"0.05\", expect_size=\"19525632\"] \n  14 -> 27 [size =\"19525632\"]\n  14 -> 30 [size =\"19525632\"]\n  14 -> 37 [size =\"19525632\"]\n  14 -> 45 [size =\"19525632\"]\n  15 [size=\"129529173\", alpha=\"0.05\", expect_size=\"38858752\"] \n  15 -> 27 [size =\"38858752\"]\n  15 -> 30 [size =\"38858752\"]\n  15 -> 34 [size =\"38858752\"]\n  15 -> 35 [size =\"38858752\"]\n  15 -> 40 [size =\"38858752\"]\n  15 -> 43 [size =\"38858752\"]\n  15 -> 45 [size =\"38858752\"]\n  16 [size=\"136884907\", alpha=\"0.05\", expect_size=\"41065472\"] \n  16 -> 30 [size =\"41065472\"]\n  16 -> 36 [size =\"41065472\"]\n  16 -> 43 [size =\"41065472\"]\n  17 [size=\"88845653\", alpha=\"0.06\", expect_size=\"26653696\"] \n  17 -> 29 [size =\"26653696\"]\n  17 -> 34 [size =\"26653696\"]\n  17 -> 38 [size =\"26653696\"]\n  17 -> 43 [size =\"26653696\"]\n  18 [size=\"153258667\", alpha=\"0.11\", expect_size=\"45977600\"] \n  18 -> 31 [size =\"45977600\"]\n  18 -> 35 [size =\"45977600\"]\n  18 -> 38 [size =\"45977600\"]\n  18 -> 39 [size =\"45977600\"]\n  18 -> 43 [size =\"45977600\"]\n  18 -> 44 [size =\"45977600\"]\n  19 [size=\"153716053\", alpha=\"0.18\", expect_size=\"46114816\"] \n  19 -> 29 [size =\"46114816\"]\n  19 -> 30 [size =\"46114816\"]\n  19 -> 38 [size =\"46114816\"]\n  20 [size=\"166481920\", alpha=\"0.05\", expect_size=\"49944576\"] \n  20 -> 37 [size =\"49944576\"]\n  20 -> 38 [size =\"49944576\"]\n  20 -> 39 [size =\"49944576\"]\n  20 -> 43 [size =\"49944576\"]\n  21 [size=\"71792640\", alpha=\"0.11\", expect_size=\"21537792\"] \n  21 -> 35 [size =\"21537792\"]\n  21 -> 37 [size =\"21537792\"]\n  22 [size=\"130406400\", alpha=\"0.11\", expect_size=\"39121920\"] \n  22 -> 35 [size =\"39121920\"]\n  22 -> 37 [size =\"39121920\"]\n  22 -> 43 [size =\"39121920\"]\n  23 [size=\"170164907\", alpha=\"0.02\", expect_size=\"51049472\"] \n  23 -> 27 [size =\"51049472\"]\n  23 -> 29 [size =\"51049472\"]\n  23 -> 30 [size =\"51049472\"]\n  23 -> 32 [size =\"51049472\"]\n  23 -> 40 [size =\"51049472\"]\n  24 [size=\"52862293\", alpha=\"0.09\", expect_size=\"15858688\"] \n  24 -> 27 [size =\"15858688\"]\n  24 -> 32 [size =\"15858688\"]\n  24 -> 35 [size =\"15858688\"]\n  24 -> 39 [size =\"15858688\"]\n  24 -> 40 [size =\"15858688\"]\n  24 -> 44 [size =\"15858688\"]\n  25 [size=\"90241707\", alpha=\"0.08\", expect_size=\"27072512\"] \n  25 -> 27 [size =\"27072512\"]\n  25 -> 32 [size =\"27072512\"]\n  25 -> 35 [size =\"27072512\"]\n  25 -> 38 [size =\"27072512\"]\n  25 -> 40 [size =\"27072512\"]\n  26 [size=\"128880640\", alpha=\"0.17\", expect_size=\"38664192\"] \n  26 -> 27 [size =\"38664192\"]\n  26 -> 28 [size =\"38664192\"]\n  26 -> 31 [size =\"38664192\"]\n  26 -> 32 [size =\"38664192\"]\n  26 -> 42 [size =\"38664192\"]\n  26 -> 45 [size =\"38664192\"]\n  27 [size=\"166427307\", alpha=\"0.16\", expect_size=\"49928192\"] \n  28 [size=\"58760533\", alpha=\"0.13\", expect_size=\"17628160\"] \n  29 [size=\"148176213\", alpha=\"0.02\", expect_size=\"44452864\"] \n  30 [size=\"128730453\", alpha=\"0.13\", expect_size=\"38619136\"] \n  31 [size=\"170837333\", alpha=\"0.16\", expect_size=\"51251200\"] \n  32 [size=\"103249920\", alpha=\"0.12\", expect_size=\"30974976\"] \n  33 [size=\"30296747\", alpha=\"0.19\", expect_size=\"9089024\"] \n  34 [size=\"47360000\", alpha=\"0.11\", expect_size=\"14208000\"] \n  35 [size=\"118739627\", alpha=\"0.18\", expect_size=\"35621888\"] \n  36 [size=\"21770240\", alpha=\"0.01\", expect_size=\"6531072\"] \n  37 [size=\"158194347\", alpha=\"0.12\", expect_size=\"47458304\"] \n  38 [size=\"125443413\", alpha=\"0.01\", expect_size=\"37633024\"] \n  39 [size=\"67167573\", alpha=\"0.07\", expect_size=\"20150272\"] \n  40 [size=\"79114240\", alpha=\"0.11\", expect_size=\"23734272\"] \n  41 [size=\"25815040\", alpha=\"0.03\", expect_size=\"7744512\"] \n  42 [size=\"150558720\", alpha=\"0.09\", expect_size=\"45167616\"] \n  43 [size=\"85705387\", alpha=\"0.15\", expect_size=\"25711616\"] \n  44 [size=\"74158080\", alpha=\"0.05\", expect_size=\"22247424\"] \n  45 [size=\"163529387\", alpha=\"0.04\", expect_size=\"49058816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41093120\", alpha=\"0.11\", expect_size=\"20546560\"] \n  1 -> 11 [size =\"20546560\"]\n  1 -> 13 [size =\"20546560\"]\n  1 -> 14 [size =\"20546560\"]\n  1 -> 17 [size =\"20546560\"]\n  1 -> 18 [size =\"20546560\"]\n  1 -> 19 [size =\"20546560\"]\n  1 -> 20 [size =\"20546560\"]\n  1 -> 21 [size =\"20546560\"]\n  1 -> 22 [size =\"20546560\"]\n  1 -> 23 [size =\"20546560\"]\n  1 -> 24 [size =\"20546560\"]\n  1 -> 25 [size =\"20546560\"]\n  1 -> 26 [size =\"20546560\"]\n  1 -> 28 [size =\"20546560\"]\n  2 [size=\"84799488\", alpha=\"0.06\", expect_size=\"42399744\"] \n  2 -> 12 [size =\"42399744\"]\n  2 -> 14 [size =\"42399744\"]\n  2 -> 20 [size =\"42399744\"]\n  2 -> 21 [size =\"42399744\"]\n  2 -> 22 [size =\"42399744\"]\n  2 -> 23 [size =\"42399744\"]\n  3 [size=\"84226048\", alpha=\"0.00\", expect_size=\"42113024\"] \n  3 -> 12 [size =\"42113024\"]\n  3 -> 13 [size =\"42113024\"]\n  3 -> 14 [size =\"42113024\"]\n  3 -> 15 [size =\"42113024\"]\n  3 -> 16 [size =\"42113024\"]\n  3 -> 17 [size =\"42113024\"]\n  3 -> 21 [size =\"42113024\"]\n  3 -> 22 [size =\"42113024\"]\n  3 -> 23 [size =\"42113024\"]\n  3 -> 24 [size =\"42113024\"]\n  3 -> 26 [size =\"42113024\"]\n  4 [size=\"93704192\", alpha=\"0.05\", expect_size=\"46852096\"] \n  4 -> 11 [size =\"46852096\"]\n  4 -> 12 [size =\"46852096\"]\n  4 -> 13 [size =\"46852096\"]\n  4 -> 15 [size =\"46852096\"]\n  4 -> 17 [size =\"46852096\"]\n  4 -> 17 [size =\"46852096\"]\n  4 -> 19 [size =\"46852096\"]\n  4 -> 20 [size =\"46852096\"]\n  4 -> 21 [size =\"46852096\"]\n  4 -> 22 [size =\"46852096\"]\n  4 -> 23 [size =\"46852096\"]\n  4 -> 24 [size =\"46852096\"]\n  4 -> 25 [size =\"46852096\"]\n  5 [size=\"28243968\", alpha=\"0.18\", expect_size=\"14121984\"] \n  5 -> 11 [size =\"14121984\"]\n  5 -> 13 [size =\"14121984\"]\n  5 -> 13 [size =\"14121984\"]\n  5 -> 15 [size =\"14121984\"]\n  5 -> 16 [size =\"14121984\"]\n  5 -> 19 [size =\"14121984\"]\n  5 -> 20 [size =\"14121984\"]\n  5 -> 21 [size =\"14121984\"]\n  5 -> 21 [size =\"14121984\"]\n  5 -> 22 [size =\"14121984\"]\n  5 -> 23 [size =\"14121984\"]\n  5 -> 25 [size =\"14121984\"]\n  5 -> 25 [size =\"14121984\"]\n  6 [size=\"44390400\", alpha=\"0.06\", expect_size=\"22195200\"] \n  6 -> 13 [size =\"22195200\"]\n  6 -> 13 [size =\"22195200\"]\n  6 -> 14 [size =\"22195200\"]\n  6 -> 15 [size =\"22195200\"]\n  6 -> 17 [size =\"22195200\"]\n  6 -> 19 [size =\"22195200\"]\n  6 -> 20 [size =\"22195200\"]\n  6 -> 21 [size =\"22195200\"]\n  6 -> 23 [size =\"22195200\"]\n  6 -> 25 [size =\"22195200\"]\n  7 [size=\"65576960\", alpha=\"0.10\", expect_size=\"32788480\"] \n  7 -> 13 [size =\"32788480\"]\n  7 -> 14 [size =\"32788480\"]\n  7 -> 14 [size =\"32788480\"]\n  7 -> 15 [size =\"32788480\"]\n  7 -> 17 [size =\"32788480\"]\n  7 -> 19 [size =\"32788480\"]\n  7 -> 20 [size =\"32788480\"]\n  7 -> 22 [size =\"32788480\"]\n  7 -> 23 [size =\"32788480\"]\n  7 -> 25 [size =\"32788480\"]\n  7 -> 26 [size =\"32788480\"]\n  7 -> 28 [size =\"32788480\"]\n  8 [size=\"28241920\", alpha=\"0.10\", expect_size=\"14120960\"] \n  8 -> 14 [size =\"14120960\"]\n  8 -> 17 [size =\"14120960\"]\n  8 -> 19 [size =\"14120960\"]\n  8 -> 20 [size =\"14120960\"]\n  8 -> 22 [size =\"14120960\"]\n  8 -> 23 [size =\"14120960\"]\n  8 -> 24 [size =\"14120960\"]\n  8 -> 26 [size =\"14120960\"]\n  8 -> 28 [size =\"14120960\"]\n  9 [size=\"40777728\", alpha=\"0.02\", expect_size=\"20388864\"] \n  9 -> 11 [size =\"20388864\"]\n  9 -> 15 [size =\"20388864\"]\n  9 -> 16 [size =\"20388864\"]\n  9 -> 17 [size =\"20388864\"]\n  9 -> 19 [size =\"20388864\"]\n  9 -> 21 [size =\"20388864\"]\n  9 -> 22 [size =\"20388864\"]\n  9 -> 24 [size =\"20388864\"]\n  9 -> 26 [size =\"20388864\"]\n  9 -> 27 [size =\"20388864\"]\n  10 [size=\"51859456\", alpha=\"0.11\", expect_size=\"25929728\"] \n  10 -> 11 [size =\"25929728\"]\n  10 -> 14 [size =\"25929728\"]\n  10 -> 16 [size =\"25929728\"]\n  10 -> 17 [size =\"25929728\"]\n  10 -> 18 [size =\"25929728\"]\n  10 -> 19 [size =\"25929728\"]\n  10 -> 20 [size =\"25929728\"]\n  10 -> 21 [size =\"25929728\"]\n  10 -> 22 [size =\"25929728\"]\n  10 -> 23 [size =\"25929728\"]\n  10 -> 24 [size =\"25929728\"]\n  10 -> 25 [size =\"25929728\"]\n  10 -> 26 [size =\"25929728\"]\n  11 [size=\"46489600\", alpha=\"0.18\", expect_size=\"23244800\"] \n  11 -> 31 [size =\"23244800\"]\n  11 -> 33 [size =\"23244800\"]\n  11 -> 35 [size =\"23244800\"]\n  11 -> 37 [size =\"23244800\"]\n  11 -> 39 [size =\"23244800\"]\n  11 -> 41 [size =\"23244800\"]\n  12 [size=\"96292864\", alpha=\"0.19\", expect_size=\"48146432\"] \n  12 -> 29 [size =\"48146432\"]\n  12 -> 30 [size =\"48146432\"]\n  12 -> 31 [size =\"48146432\"]\n  12 -> 33 [size =\"48146432\"]\n  12 -> 39 [size =\"48146432\"]\n  12 -> 41 [size =\"48146432\"]\n  13 [size=\"30337024\", alpha=\"0.17\", expect_size=\"15168512\"] \n  13 -> 30 [size =\"15168512\"]\n  13 -> 31 [size =\"15168512\"]\n  13 -> 33 [size =\"15168512\"]\n  13 -> 37 [size =\"15168512\"]\n  13 -> 39 [size =\"15168512\"]\n  13 -> 40 [size =\"15168512\"]\n  14 [size=\"31594496\", alpha=\"0.16\", expect_size=\"15797248\"] \n  14 -> 30 [size =\"15797248\"]\n  14 -> 31 [size =\"15797248\"]\n  14 -> 37 [size =\"15797248\"]\n  14 -> 37 [size =\"15797248\"]\n  14 -> 38 [size =\"15797248\"]\n  14 -> 39 [size =\"15797248\"]\n  14 -> 40 [size =\"15797248\"]\n  14 -> 41 [size =\"15797248\"]\n  15 [size=\"53155840\", alpha=\"0.14\", expect_size=\"26577920\"] \n  15 -> 34 [size =\"26577920\"]\n  15 -> 37 [size =\"26577920\"]\n  15 -> 38 [size =\"26577920\"]\n  15 -> 41 [size =\"26577920\"]\n  16 [size=\"43364352\", alpha=\"0.18\", expect_size=\"21682176\"] \n  16 -> 31 [size =\"21682176\"]\n  16 -> 35 [size =\"21682176\"]\n  17 [size=\"72259584\", alpha=\"0.13\", expect_size=\"36129792\"] \n  17 -> 29 [size =\"36129792\"]\n  17 -> 31 [size =\"36129792\"]\n  17 -> 35 [size =\"36129792\"]\n  17 -> 36 [size =\"36129792\"]\n  17 -> 39 [size =\"36129792\"]\n  17 -> 40 [size =\"36129792\"]\n  18 [size=\"25978880\", alpha=\"0.19\", expect_size=\"12989440\"] \n  18 -> 29 [size =\"12989440\"]\n  18 -> 30 [size =\"12989440\"]\n  18 -> 31 [size =\"12989440\"]\n  18 -> 32 [size =\"12989440\"]\n  18 -> 39 [size =\"12989440\"]\n  18 -> 40 [size =\"12989440\"]\n  18 -> 41 [size =\"12989440\"]\n  19 [size=\"74358784\", alpha=\"0.13\", expect_size=\"37179392\"] \n  19 -> 29 [size =\"37179392\"]\n  19 -> 31 [size =\"37179392\"]\n  19 -> 32 [size =\"37179392\"]\n  19 -> 33 [size =\"37179392\"]\n  19 -> 35 [size =\"37179392\"]\n  19 -> 40 [size =\"37179392\"]\n  20 [size=\"83775488\", alpha=\"0.08\", expect_size=\"41887744\"] \n  20 -> 30 [size =\"41887744\"]\n  20 -> 33 [size =\"41887744\"]\n  20 -> 37 [size =\"41887744\"]\n  20 -> 40 [size =\"41887744\"]\n  21 [size=\"40822784\", alpha=\"0.09\", expect_size=\"20411392\"] \n  21 -> 30 [size =\"20411392\"]\n  21 -> 31 [size =\"20411392\"]\n  21 -> 37 [size =\"20411392\"]\n  21 -> 39 [size =\"20411392\"]\n  21 -> 40 [size =\"20411392\"]\n  21 -> 41 [size =\"20411392\"]\n  22 [size=\"29413376\", alpha=\"0.06\", expect_size=\"14706688\"] \n  22 -> 29 [size =\"14706688\"]\n  22 -> 30 [size =\"14706688\"]\n  22 -> 31 [size =\"14706688\"]\n  22 -> 37 [size =\"14706688\"]\n  22 -> 39 [size =\"14706688\"]\n  23 [size=\"25815040\", alpha=\"0.18\", expect_size=\"12907520\"] \n  23 -> 30 [size =\"12907520\"]\n  23 -> 32 [size =\"12907520\"]\n  23 -> 34 [size =\"12907520\"]\n  23 -> 37 [size =\"12907520\"]\n  24 [size=\"11771904\", alpha=\"0.08\", expect_size=\"5885952\"] \n  24 -> 30 [size =\"5885952\"]\n  24 -> 31 [size =\"5885952\"]\n  24 -> 34 [size =\"5885952\"]\n  24 -> 37 [size =\"5885952\"]\n  24 -> 39 [size =\"5885952\"]\n  24 -> 40 [size =\"5885952\"]\n  25 [size=\"85190656\", alpha=\"0.02\", expect_size=\"42595328\"] \n  25 -> 29 [size =\"42595328\"]\n  25 -> 30 [size =\"42595328\"]\n  25 -> 31 [size =\"42595328\"]\n  25 -> 37 [size =\"42595328\"]\n  25 -> 39 [size =\"42595328\"]\n  25 -> 41 [size =\"42595328\"]\n  26 [size=\"56387584\", alpha=\"0.03\", expect_size=\"28193792\"] \n  26 -> 29 [size =\"28193792\"]\n  26 -> 30 [size =\"28193792\"]\n  26 -> 31 [size =\"28193792\"]\n  26 -> 37 [size =\"28193792\"]\n  26 -> 39 [size =\"28193792\"]\n  26 -> 40 [size =\"28193792\"]\n  26 -> 41 [size =\"28193792\"]\n  27 [size=\"46100480\", alpha=\"0.16\", expect_size=\"23050240\"] \n  27 -> 29 [size =\"23050240\"]\n  27 -> 31 [size =\"23050240\"]\n  27 -> 36 [size =\"23050240\"]\n  27 -> 40 [size =\"23050240\"]\n  28 [size=\"14587904\", alpha=\"0.12\", expect_size=\"7293952\"] \n  28 -> 31 [size =\"7293952\"]\n  28 -> 36 [size =\"7293952\"]\n  28 -> 37 [size =\"7293952\"]\n  28 -> 39 [size =\"7293952\"]\n  28 -> 40 [size =\"7293952\"]\n  29 [size=\"101992448\", alpha=\"0.15\", expect_size=\"50996224\"] \n  29 -> 42 [size =\"50996224\"]\n  30 [size=\"69885952\", alpha=\"0.07\", expect_size=\"34942976\"] \n  30 -> 42 [size =\"34942976\"]\n  30 -> 45 [size =\"34942976\"]\n  31 [size=\"12281856\", alpha=\"0.06\", expect_size=\"6140928\"] \n  31 -> 42 [size =\"6140928\"]\n  31 -> 44 [size =\"6140928\"]\n  31 -> 45 [size =\"6140928\"]\n  32 [size=\"54167552\", alpha=\"0.04\", expect_size=\"27083776\"] \n  32 -> 42 [size =\"27083776\"]\n  32 -> 45 [size =\"27083776\"]\n  33 [size=\"81106944\", alpha=\"0.05\", expect_size=\"40553472\"] \n  33 -> 42 [size =\"40553472\"]\n  33 -> 45 [size =\"40553472\"]\n  34 [size=\"72474624\", alpha=\"0.12\", expect_size=\"36237312\"] \n  35 [size=\"17119232\", alpha=\"0.07\", expect_size=\"8559616\"] \n  35 -> 42 [size =\"8559616\"]\n  35 -> 44 [size =\"8559616\"]\n  35 -> 45 [size =\"8559616\"]\n  36 [size=\"27166720\", alpha=\"0.09\", expect_size=\"13583360\"] \n  36 -> 42 [size =\"13583360\"]\n  36 -> 43 [size =\"13583360\"]\n  36 -> 45 [size =\"13583360\"]\n  37 [size=\"42158080\", alpha=\"0.04\", expect_size=\"21079040\"] \n  37 -> 43 [size =\"21079040\"]\n  37 -> 44 [size =\"21079040\"]\n  37 -> 45 [size =\"21079040\"]\n  38 [size=\"22808576\", alpha=\"0.03\", expect_size=\"11404288\"] \n  38 -> 42 [size =\"11404288\"]\n  38 -> 43 [size =\"11404288\"]\n  38 -> 45 [size =\"11404288\"]\n  39 [size=\"81252352\", alpha=\"0.15\", expect_size=\"40626176\"] \n  39 -> 45 [size =\"40626176\"]\n  40 [size=\"59033600\", alpha=\"0.03\", expect_size=\"29516800\"] \n  40 -> 45 [size =\"29516800\"]\n  41 [size=\"91901952\", alpha=\"0.17\", expect_size=\"45950976\"] \n  41 -> 42 [size =\"45950976\"]\n  41 -> 44 [size =\"45950976\"]\n  42 [size=\"27115520\", alpha=\"0.15\", expect_size=\"13557760\"] \n  43 [size=\"44857344\", alpha=\"0.16\", expect_size=\"22428672\"] \n  44 [size=\"70606848\", alpha=\"0.18\", expect_size=\"35303424\"] \n  45 [size=\"31102976\", alpha=\"0.15\", expect_size=\"15551488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124088320\", alpha=\"0.13\", expect_size=\"37226496\"] \n  1 -> 4 [size =\"37226496\"]\n  1 -> 5 [size =\"37226496\"]\n  2 [size=\"49462613\", alpha=\"0.10\", expect_size=\"14838784\"] \n  3 [size=\"47090347\", alpha=\"0.15\", expect_size=\"14127104\"] \n  4 [size=\"113517227\", alpha=\"0.20\", expect_size=\"34055168\"] \n  5 [size=\"37038080\", alpha=\"0.09\", expect_size=\"11111424\"] \n  5 -> 6 [size =\"11111424\"]\n  5 -> 7 [size =\"11111424\"]\n  5 -> 8 [size =\"11111424\"]\n  6 [size=\"53002240\", alpha=\"0.09\", expect_size=\"15900672\"] \n  6 -> 9 [size =\"15900672\"]\n  6 -> 10 [size =\"15900672\"]\n  6 -> 11 [size =\"15900672\"]\n  7 [size=\"165164373\", alpha=\"0.14\", expect_size=\"49549312\"] \n  7 -> 9 [size =\"49549312\"]\n  8 [size=\"22292480\", alpha=\"0.14\", expect_size=\"6687744\"] \n  9 [size=\"31894187\", alpha=\"0.12\", expect_size=\"9568256\"] \n  10 [size=\"43666773\", alpha=\"0.12\", expect_size=\"13100032\"] \n  10 -> 13 [size =\"13100032\"]\n  11 [size=\"134188373\", alpha=\"0.18\", expect_size=\"40256512\"] \n  11 -> 12 [size =\"40256512\"]\n  11 -> 13 [size =\"40256512\"]\n  12 [size=\"78144853\", alpha=\"0.07\", expect_size=\"23443456\"] \n  13 [size=\"158945280\", alpha=\"0.02\", expect_size=\"47683584\"] \n  13 -> 14 [size =\"47683584\"]\n  14 [size=\"119425707\", alpha=\"0.08\", expect_size=\"35827712\"] \n  14 -> 15 [size =\"35827712\"]\n  15 [size=\"116145493\", alpha=\"0.06\", expect_size=\"34843648\"] \n  15 -> 16 [size =\"34843648\"]\n  15 -> 17 [size =\"34843648\"]\n  15 -> 18 [size =\"34843648\"]\n  15 -> 19 [size =\"34843648\"]\n  16 [size=\"30993067\", alpha=\"0.06\", expect_size=\"9297920\"] \n  16 -> 20 [size =\"9297920\"]\n  17 [size=\"97843200\", alpha=\"0.19\", expect_size=\"29352960\"] \n  17 -> 21 [size =\"29352960\"]\n  17 -> 22 [size =\"29352960\"]\n  18 [size=\"50042880\", alpha=\"0.18\", expect_size=\"15012864\"] \n  19 [size=\"160467627\", alpha=\"0.05\", expect_size=\"48140288\"] \n  20 [size=\"98102613\", alpha=\"0.20\", expect_size=\"29430784\"] \n  20 -> 24 [size =\"29430784\"]\n  20 -> 25 [size =\"29430784\"]\n  21 [size=\"37041493\", alpha=\"0.08\", expect_size=\"11112448\"] \n  22 [size=\"23736320\", alpha=\"0.00\", expect_size=\"7120896\"] \n  22 -> 23 [size =\"7120896\"]\n  22 -> 24 [size =\"7120896\"]\n  22 -> 25 [size =\"7120896\"]\n  23 [size=\"80909653\", alpha=\"0.16\", expect_size=\"24272896\"] \n  23 -> 27 [size =\"24272896\"]\n  24 [size=\"98874027\", alpha=\"0.05\", expect_size=\"29662208\"] \n  24 -> 26 [size =\"29662208\"]\n  25 [size=\"161150293\", alpha=\"0.15\", expect_size=\"48345088\"] \n  26 [size=\"49421653\", alpha=\"0.11\", expect_size=\"14826496\"] \n  26 -> 28 [size =\"14826496\"]\n  27 [size=\"93794987\", alpha=\"0.05\", expect_size=\"28138496\"] \n  28 [size=\"84585813\", alpha=\"0.20\", expect_size=\"25375744\"] \n  28 -> 29 [size =\"25375744\"]\n  28 -> 30 [size =\"25375744\"]\n  29 [size=\"66061653\", alpha=\"0.16\", expect_size=\"19818496\"] \n  30 [size=\"104581120\", alpha=\"0.16\", expect_size=\"31374336\"] \n  30 -> 31 [size =\"31374336\"]\n  31 [size=\"101550080\", alpha=\"0.11\", expect_size=\"30465024\"] \n  31 -> 32 [size =\"30465024\"]\n  32 [size=\"163580587\", alpha=\"0.13\", expect_size=\"49074176\"] \n  32 -> 33 [size =\"49074176\"]\n  32 -> 34 [size =\"49074176\"]\n  33 [size=\"165379413\", alpha=\"0.14\", expect_size=\"49613824\"] \n  33 -> 36 [size =\"49613824\"]\n  34 [size=\"136564053\", alpha=\"0.07\", expect_size=\"40969216\"] \n  34 -> 35 [size =\"40969216\"]\n  34 -> 37 [size =\"40969216\"]\n  34 -> 38 [size =\"40969216\"]\n  35 [size=\"173168640\", alpha=\"0.13\", expect_size=\"51950592\"] \n  35 -> 39 [size =\"51950592\"]\n  36 [size=\"137475413\", alpha=\"0.01\", expect_size=\"41242624\"] \n  37 [size=\"65010347\", alpha=\"0.18\", expect_size=\"19503104\"] \n  38 [size=\"103461547\", alpha=\"0.00\", expect_size=\"31038464\"] \n  39 [size=\"100362240\", alpha=\"0.01\", expect_size=\"30108672\"] \n  39 -> 40 [size =\"30108672\"]\n  39 -> 41 [size =\"30108672\"]\n  40 [size=\"70133760\", alpha=\"0.11\", expect_size=\"21040128\"] \n  40 -> 42 [size =\"21040128\"]\n  41 [size=\"38970027\", alpha=\"0.04\", expect_size=\"11691008\"] \n  42 [size=\"123586560\", alpha=\"0.18\", expect_size=\"37075968\"] \n  42 -> 43 [size =\"37075968\"]\n  42 -> 44 [size =\"37075968\"]\n  42 -> 45 [size =\"37075968\"]\n  43 [size=\"70075733\", alpha=\"0.20\", expect_size=\"21022720\"] \n  44 [size=\"19909973\", alpha=\"0.12\", expect_size=\"5972992\"] \n  45 [size=\"75042133\", alpha=\"0.02\", expect_size=\"22512640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35379200\", alpha=\"0.05\", expect_size=\"17689600\"] \n  1 -> 4 [size =\"17689600\"]\n  1 -> 5 [size =\"17689600\"]\n  1 -> 6 [size =\"17689600\"]\n  2 [size=\"85172224\", alpha=\"0.18\", expect_size=\"42586112\"] \n  3 [size=\"26429440\", alpha=\"0.09\", expect_size=\"13214720\"] \n  3 -> 5 [size =\"13214720\"]\n  4 [size=\"18716672\", alpha=\"0.08\", expect_size=\"9358336\"] \n  5 [size=\"43757568\", alpha=\"0.19\", expect_size=\"21878784\"] \n  5 -> 7 [size =\"21878784\"]\n  5 -> 8 [size =\"21878784\"]\n  5 -> 9 [size =\"21878784\"]\n  6 [size=\"102410240\", alpha=\"0.06\", expect_size=\"51205120\"] \n  7 [size=\"59592704\", alpha=\"0.17\", expect_size=\"29796352\"] \n  7 -> 10 [size =\"29796352\"]\n  7 -> 12 [size =\"29796352\"]\n  8 [size=\"43370496\", alpha=\"0.03\", expect_size=\"21685248\"] \n  8 -> 11 [size =\"21685248\"]\n  9 [size=\"83050496\", alpha=\"0.16\", expect_size=\"41525248\"] \n  10 [size=\"40638464\", alpha=\"0.11\", expect_size=\"20319232\"] \n  10 -> 13 [size =\"20319232\"]\n  10 -> 14 [size =\"20319232\"]\n  11 [size=\"51138560\", alpha=\"0.08\", expect_size=\"25569280\"] \n  11 -> 13 [size =\"25569280\"]\n  11 -> 14 [size =\"25569280\"]\n  12 [size=\"72843264\", alpha=\"0.02\", expect_size=\"36421632\"] \n  13 [size=\"63211520\", alpha=\"0.11\", expect_size=\"31605760\"] \n  13 -> 15 [size =\"31605760\"]\n  14 [size=\"11108352\", alpha=\"0.20\", expect_size=\"5554176\"] \n  14 -> 16 [size =\"5554176\"]\n  14 -> 17 [size =\"5554176\"]\n  15 [size=\"48310272\", alpha=\"0.04\", expect_size=\"24155136\"] \n  15 -> 19 [size =\"24155136\"]\n  16 [size=\"44013568\", alpha=\"0.03\", expect_size=\"22006784\"] \n  16 -> 18 [size =\"22006784\"]\n  17 [size=\"72919040\", alpha=\"0.08\", expect_size=\"36459520\"] \n  17 -> 18 [size =\"36459520\"]\n  18 [size=\"60440576\", alpha=\"0.00\", expect_size=\"30220288\"] \n  18 -> 22 [size =\"30220288\"]\n  19 [size=\"75878400\", alpha=\"0.14\", expect_size=\"37939200\"] \n  19 -> 20 [size =\"37939200\"]\n  19 -> 21 [size =\"37939200\"]\n  20 [size=\"55093248\", alpha=\"0.15\", expect_size=\"27546624\"] \n  21 [size=\"12824576\", alpha=\"0.01\", expect_size=\"6412288\"] \n  21 -> 23 [size =\"6412288\"]\n  22 [size=\"49903616\", alpha=\"0.03\", expect_size=\"24951808\"] \n  22 -> 23 [size =\"24951808\"]\n  22 -> 24 [size =\"24951808\"]\n  22 -> 25 [size =\"24951808\"]\n  23 [size=\"60491776\", alpha=\"0.09\", expect_size=\"30245888\"] \n  24 [size=\"16168960\", alpha=\"0.16\", expect_size=\"8084480\"] \n  24 -> 27 [size =\"8084480\"]\n  25 [size=\"14192640\", alpha=\"0.10\", expect_size=\"7096320\"] \n  25 -> 26 [size =\"7096320\"]\n  25 -> 27 [size =\"7096320\"]\n  26 [size=\"30916608\", alpha=\"0.04\", expect_size=\"15458304\"] \n  26 -> 28 [size =\"15458304\"]\n  27 [size=\"43126784\", alpha=\"0.08\", expect_size=\"21563392\"] \n  27 -> 29 [size =\"21563392\"]\n  28 [size=\"81299456\", alpha=\"0.19\", expect_size=\"40649728\"] \n  28 -> 31 [size =\"40649728\"]\n  29 [size=\"83017728\", alpha=\"0.05\", expect_size=\"41508864\"] \n  29 -> 30 [size =\"41508864\"]\n  30 [size=\"56485888\", alpha=\"0.18\", expect_size=\"28242944\"] \n  30 -> 32 [size =\"28242944\"]\n  31 [size=\"34220032\", alpha=\"0.20\", expect_size=\"17110016\"] \n  31 -> 33 [size =\"17110016\"]\n  32 [size=\"41109504\", alpha=\"0.14\", expect_size=\"20554752\"] \n  32 -> 34 [size =\"20554752\"]\n  32 -> 35 [size =\"20554752\"]\n  33 [size=\"57475072\", alpha=\"0.00\", expect_size=\"28737536\"] \n  33 -> 36 [size =\"28737536\"]\n  34 [size=\"99258368\", alpha=\"0.06\", expect_size=\"49629184\"] \n  34 -> 38 [size =\"49629184\"]\n  35 [size=\"80322560\", alpha=\"0.20\", expect_size=\"40161280\"] \n  35 -> 38 [size =\"40161280\"]\n  36 [size=\"33935360\", alpha=\"0.01\", expect_size=\"16967680\"] \n  36 -> 37 [size =\"16967680\"]\n  36 -> 39 [size =\"16967680\"]\n  37 [size=\"52027392\", alpha=\"0.15\", expect_size=\"26013696\"] \n  37 -> 40 [size =\"26013696\"]\n  38 [size=\"89331712\", alpha=\"0.00\", expect_size=\"44665856\"] \n  39 [size=\"84363264\", alpha=\"0.19\", expect_size=\"42181632\"] \n  39 -> 40 [size =\"42181632\"]\n  39 -> 41 [size =\"42181632\"]\n  40 [size=\"15314944\", alpha=\"0.07\", expect_size=\"7657472\"] \n  40 -> 42 [size =\"7657472\"]\n  40 -> 44 [size =\"7657472\"]\n  41 [size=\"101087232\", alpha=\"0.16\", expect_size=\"50543616\"] \n  41 -> 43 [size =\"50543616\"]\n  42 [size=\"99219456\", alpha=\"0.13\", expect_size=\"49609728\"] \n  43 [size=\"72067072\", alpha=\"0.01\", expect_size=\"36033536\"] \n  44 [size=\"72359936\", alpha=\"0.09\", expect_size=\"36179968\"] \n  44 -> 45 [size =\"36179968\"]\n  45 [size=\"100718592\", alpha=\"0.19\", expect_size=\"50359296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132696747\", alpha=\"0.15\", expect_size=\"39809024\"] \n  1 -> 30 [size =\"39809024\"]\n  1 -> 36 [size =\"39809024\"]\n  1 -> 39 [size =\"39809024\"]\n  1 -> 40 [size =\"39809024\"]\n  1 -> 41 [size =\"39809024\"]\n  1 -> 42 [size =\"39809024\"]\n  1 -> 44 [size =\"39809024\"]\n  2 [size=\"95279787\", alpha=\"0.03\", expect_size=\"28583936\"] \n  2 -> 30 [size =\"28583936\"]\n  2 -> 31 [size =\"28583936\"]\n  2 -> 35 [size =\"28583936\"]\n  2 -> 36 [size =\"28583936\"]\n  2 -> 37 [size =\"28583936\"]\n  2 -> 40 [size =\"28583936\"]\n  2 -> 41 [size =\"28583936\"]\n  2 -> 42 [size =\"28583936\"]\n  3 [size=\"87777280\", alpha=\"0.16\", expect_size=\"26333184\"] \n  3 -> 30 [size =\"26333184\"]\n  3 -> 31 [size =\"26333184\"]\n  3 -> 33 [size =\"26333184\"]\n  3 -> 34 [size =\"26333184\"]\n  3 -> 37 [size =\"26333184\"]\n  3 -> 40 [size =\"26333184\"]\n  3 -> 42 [size =\"26333184\"]\n  3 -> 43 [size =\"26333184\"]\n  3 -> 45 [size =\"26333184\"]\n  4 [size=\"135994027\", alpha=\"0.05\", expect_size=\"40798208\"] \n  4 -> 30 [size =\"40798208\"]\n  4 -> 33 [size =\"40798208\"]\n  4 -> 33 [size =\"40798208\"]\n  4 -> 34 [size =\"40798208\"]\n  4 -> 35 [size =\"40798208\"]\n  4 -> 36 [size =\"40798208\"]\n  4 -> 37 [size =\"40798208\"]\n  4 -> 40 [size =\"40798208\"]\n  4 -> 41 [size =\"40798208\"]\n  4 -> 42 [size =\"40798208\"]\n  4 -> 45 [size =\"40798208\"]\n  5 [size=\"103140693\", alpha=\"0.03\", expect_size=\"30942208\"] \n  5 -> 30 [size =\"30942208\"]\n  5 -> 31 [size =\"30942208\"]\n  5 -> 34 [size =\"30942208\"]\n  5 -> 35 [size =\"30942208\"]\n  5 -> 35 [size =\"30942208\"]\n  5 -> 36 [size =\"30942208\"]\n  5 -> 39 [size =\"30942208\"]\n  5 -> 40 [size =\"30942208\"]\n  5 -> 41 [size =\"30942208\"]\n  5 -> 42 [size =\"30942208\"]\n  5 -> 43 [size =\"30942208\"]\n  5 -> 45 [size =\"30942208\"]\n  6 [size=\"41465173\", alpha=\"0.04\", expect_size=\"12439552\"] \n  6 -> 30 [size =\"12439552\"]\n  6 -> 31 [size =\"12439552\"]\n  6 -> 34 [size =\"12439552\"]\n  6 -> 35 [size =\"12439552\"]\n  6 -> 36 [size =\"12439552\"]\n  6 -> 39 [size =\"12439552\"]\n  6 -> 40 [size =\"12439552\"]\n  6 -> 40 [size =\"12439552\"]\n  6 -> 41 [size =\"12439552\"]\n  6 -> 42 [size =\"12439552\"]\n  6 -> 45 [size =\"12439552\"]\n  7 [size=\"78766080\", alpha=\"0.03\", expect_size=\"23629824\"] \n  7 -> 30 [size =\"23629824\"]\n  7 -> 31 [size =\"23629824\"]\n  7 -> 33 [size =\"23629824\"]\n  7 -> 34 [size =\"23629824\"]\n  7 -> 36 [size =\"23629824\"]\n  7 -> 37 [size =\"23629824\"]\n  7 -> 41 [size =\"23629824\"]\n  7 -> 42 [size =\"23629824\"]\n  7 -> 45 [size =\"23629824\"]\n  8 [size=\"42291200\", alpha=\"0.18\", expect_size=\"12687360\"] \n  8 -> 31 [size =\"12687360\"]\n  8 -> 32 [size =\"12687360\"]\n  8 -> 34 [size =\"12687360\"]\n  8 -> 34 [size =\"12687360\"]\n  8 -> 40 [size =\"12687360\"]\n  8 -> 41 [size =\"12687360\"]\n  8 -> 41 [size =\"12687360\"]\n  8 -> 42 [size =\"12687360\"]\n  8 -> 45 [size =\"12687360\"]\n  9 [size=\"157177173\", alpha=\"0.03\", expect_size=\"47153152\"] \n  9 -> 30 [size =\"47153152\"]\n  9 -> 31 [size =\"47153152\"]\n  9 -> 33 [size =\"47153152\"]\n  9 -> 34 [size =\"47153152\"]\n  9 -> 36 [size =\"47153152\"]\n  9 -> 37 [size =\"47153152\"]\n  9 -> 39 [size =\"47153152\"]\n  9 -> 42 [size =\"47153152\"]\n  9 -> 43 [size =\"47153152\"]\n  10 [size=\"24773973\", alpha=\"0.13\", expect_size=\"7432192\"] \n  10 -> 30 [size =\"7432192\"]\n  10 -> 31 [size =\"7432192\"]\n  10 -> 36 [size =\"7432192\"]\n  10 -> 37 [size =\"7432192\"]\n  10 -> 39 [size =\"7432192\"]\n  10 -> 42 [size =\"7432192\"]\n  11 [size=\"86258347\", alpha=\"0.11\", expect_size=\"25877504\"] \n  11 -> 30 [size =\"25877504\"]\n  11 -> 31 [size =\"25877504\"]\n  11 -> 33 [size =\"25877504\"]\n  11 -> 35 [size =\"25877504\"]\n  11 -> 36 [size =\"25877504\"]\n  11 -> 37 [size =\"25877504\"]\n  11 -> 39 [size =\"25877504\"]\n  11 -> 40 [size =\"25877504\"]\n  11 -> 42 [size =\"25877504\"]\n  12 [size=\"43052373\", alpha=\"0.02\", expect_size=\"12915712\"] \n  12 -> 30 [size =\"12915712\"]\n  12 -> 33 [size =\"12915712\"]\n  12 -> 35 [size =\"12915712\"]\n  12 -> 36 [size =\"12915712\"]\n  12 -> 37 [size =\"12915712\"]\n  12 -> 37 [size =\"12915712\"]\n  12 -> 39 [size =\"12915712\"]\n  12 -> 40 [size =\"12915712\"]\n  12 -> 41 [size =\"12915712\"]\n  12 -> 45 [size =\"12915712\"]\n  13 [size=\"67908267\", alpha=\"0.12\", expect_size=\"20372480\"] \n  13 -> 30 [size =\"20372480\"]\n  13 -> 31 [size =\"20372480\"]\n  13 -> 37 [size =\"20372480\"]\n  13 -> 39 [size =\"20372480\"]\n  13 -> 40 [size =\"20372480\"]\n  13 -> 43 [size =\"20372480\"]\n  13 -> 45 [size =\"20372480\"]\n  14 [size=\"40011093\", alpha=\"0.10\", expect_size=\"12003328\"] \n  14 -> 30 [size =\"12003328\"]\n  14 -> 33 [size =\"12003328\"]\n  14 -> 35 [size =\"12003328\"]\n  14 -> 37 [size =\"12003328\"]\n  14 -> 39 [size =\"12003328\"]\n  14 -> 40 [size =\"12003328\"]\n  14 -> 41 [size =\"12003328\"]\n  14 -> 43 [size =\"12003328\"]\n  15 [size=\"76072960\", alpha=\"0.16\", expect_size=\"22821888\"] \n  15 -> 30 [size =\"22821888\"]\n  15 -> 33 [size =\"22821888\"]\n  15 -> 37 [size =\"22821888\"]\n  15 -> 37 [size =\"22821888\"]\n  15 -> 39 [size =\"22821888\"]\n  15 -> 40 [size =\"22821888\"]\n  15 -> 41 [size =\"22821888\"]\n  16 [size=\"99218773\", alpha=\"0.19\", expect_size=\"29765632\"] \n  16 -> 31 [size =\"29765632\"]\n  16 -> 34 [size =\"29765632\"]\n  16 -> 36 [size =\"29765632\"]\n  16 -> 37 [size =\"29765632\"]\n  16 -> 39 [size =\"29765632\"]\n  16 -> 40 [size =\"29765632\"]\n  16 -> 42 [size =\"29765632\"]\n  16 -> 43 [size =\"29765632\"]\n  17 [size=\"127307093\", alpha=\"0.07\", expect_size=\"38192128\"] \n  17 -> 30 [size =\"38192128\"]\n  17 -> 31 [size =\"38192128\"]\n  17 -> 36 [size =\"38192128\"]\n  17 -> 37 [size =\"38192128\"]\n  17 -> 40 [size =\"38192128\"]\n  17 -> 40 [size =\"38192128\"]\n  17 -> 45 [size =\"38192128\"]\n  18 [size=\"149650773\", alpha=\"0.10\", expect_size=\"44895232\"] \n  18 -> 36 [size =\"44895232\"]\n  18 -> 37 [size =\"44895232\"]\n  18 -> 40 [size =\"44895232\"]\n  18 -> 42 [size =\"44895232\"]\n  18 -> 45 [size =\"44895232\"]\n  19 [size=\"133546667\", alpha=\"0.00\", expect_size=\"40064000\"] \n  19 -> 33 [size =\"40064000\"]\n  19 -> 34 [size =\"40064000\"]\n  19 -> 35 [size =\"40064000\"]\n  19 -> 36 [size =\"40064000\"]\n  19 -> 37 [size =\"40064000\"]\n  19 -> 39 [size =\"40064000\"]\n  19 -> 42 [size =\"40064000\"]\n  19 -> 45 [size =\"40064000\"]\n  20 [size=\"158562987\", alpha=\"0.13\", expect_size=\"47568896\"] \n  20 -> 30 [size =\"47568896\"]\n  20 -> 33 [size =\"47568896\"]\n  20 -> 34 [size =\"47568896\"]\n  20 -> 36 [size =\"47568896\"]\n  20 -> 37 [size =\"47568896\"]\n  20 -> 39 [size =\"47568896\"]\n  20 -> 40 [size =\"47568896\"]\n  20 -> 42 [size =\"47568896\"]\n  20 -> 43 [size =\"47568896\"]\n  20 -> 45 [size =\"47568896\"]\n  21 [size=\"100461227\", alpha=\"0.20\", expect_size=\"30138368\"] \n  21 -> 30 [size =\"30138368\"]\n  21 -> 31 [size =\"30138368\"]\n  21 -> 33 [size =\"30138368\"]\n  21 -> 36 [size =\"30138368\"]\n  21 -> 37 [size =\"30138368\"]\n  21 -> 39 [size =\"30138368\"]\n  21 -> 40 [size =\"30138368\"]\n  21 -> 41 [size =\"30138368\"]\n  21 -> 43 [size =\"30138368\"]\n  21 -> 45 [size =\"30138368\"]\n  22 [size=\"26743467\", alpha=\"0.17\", expect_size=\"8023040\"] \n  22 -> 30 [size =\"8023040\"]\n  22 -> 31 [size =\"8023040\"]\n  22 -> 33 [size =\"8023040\"]\n  22 -> 36 [size =\"8023040\"]\n  22 -> 39 [size =\"8023040\"]\n  22 -> 40 [size =\"8023040\"]\n  22 -> 41 [size =\"8023040\"]\n  22 -> 42 [size =\"8023040\"]\n  22 -> 43 [size =\"8023040\"]\n  22 -> 45 [size =\"8023040\"]\n  23 [size=\"39959893\", alpha=\"0.02\", expect_size=\"11987968\"] \n  23 -> 30 [size =\"11987968\"]\n  23 -> 31 [size =\"11987968\"]\n  23 -> 33 [size =\"11987968\"]\n  23 -> 36 [size =\"11987968\"]\n  23 -> 37 [size =\"11987968\"]\n  24 [size=\"134539947\", alpha=\"0.03\", expect_size=\"40361984\"] \n  24 -> 30 [size =\"40361984\"]\n  24 -> 33 [size =\"40361984\"]\n  24 -> 36 [size =\"40361984\"]\n  24 -> 36 [size =\"40361984\"]\n  24 -> 37 [size =\"40361984\"]\n  24 -> 39 [size =\"40361984\"]\n  24 -> 40 [size =\"40361984\"]\n  24 -> 41 [size =\"40361984\"]\n  24 -> 42 [size =\"40361984\"]\n  25 [size=\"56224427\", alpha=\"0.15\", expect_size=\"16867328\"] \n  25 -> 33 [size =\"16867328\"]\n  25 -> 35 [size =\"16867328\"]\n  25 -> 36 [size =\"16867328\"]\n  25 -> 37 [size =\"16867328\"]\n  25 -> 39 [size =\"16867328\"]\n  25 -> 40 [size =\"16867328\"]\n  25 -> 41 [size =\"16867328\"]\n  25 -> 43 [size =\"16867328\"]\n  26 [size=\"21514240\", alpha=\"0.10\", expect_size=\"6454272\"] \n  26 -> 30 [size =\"6454272\"]\n  26 -> 33 [size =\"6454272\"]\n  26 -> 35 [size =\"6454272\"]\n  26 -> 36 [size =\"6454272\"]\n  26 -> 37 [size =\"6454272\"]\n  26 -> 40 [size =\"6454272\"]\n  26 -> 42 [size =\"6454272\"]\n  27 [size=\"170253653\", alpha=\"0.13\", expect_size=\"51076096\"] \n  27 -> 30 [size =\"51076096\"]\n  27 -> 33 [size =\"51076096\"]\n  27 -> 34 [size =\"51076096\"]\n  27 -> 35 [size =\"51076096\"]\n  27 -> 36 [size =\"51076096\"]\n  27 -> 38 [size =\"51076096\"]\n  27 -> 39 [size =\"51076096\"]\n  27 -> 40 [size =\"51076096\"]\n  27 -> 42 [size =\"51076096\"]\n  27 -> 43 [size =\"51076096\"]\n  27 -> 45 [size =\"51076096\"]\n  28 [size=\"70341973\", alpha=\"0.18\", expect_size=\"21102592\"] \n  28 -> 30 [size =\"21102592\"]\n  28 -> 34 [size =\"21102592\"]\n  28 -> 36 [size =\"21102592\"]\n  28 -> 37 [size =\"21102592\"]\n  28 -> 40 [size =\"21102592\"]\n  28 -> 41 [size =\"21102592\"]\n  28 -> 44 [size =\"21102592\"]\n  28 -> 45 [size =\"21102592\"]\n  29 [size=\"151473493\", alpha=\"0.02\", expect_size=\"45442048\"] \n  29 -> 30 [size =\"45442048\"]\n  29 -> 31 [size =\"45442048\"]\n  29 -> 33 [size =\"45442048\"]\n  29 -> 34 [size =\"45442048\"]\n  29 -> 36 [size =\"45442048\"]\n  29 -> 37 [size =\"45442048\"]\n  29 -> 40 [size =\"45442048\"]\n  29 -> 41 [size =\"45442048\"]\n  29 -> 42 [size =\"45442048\"]\n  29 -> 45 [size =\"45442048\"]\n  30 [size=\"154815147\", alpha=\"0.06\", expect_size=\"46444544\"] \n  31 [size=\"97877333\", alpha=\"0.20\", expect_size=\"29363200\"] \n  32 [size=\"95883947\", alpha=\"0.16\", expect_size=\"28765184\"] \n  33 [size=\"69355520\", alpha=\"0.19\", expect_size=\"20806656\"] \n  34 [size=\"88593067\", alpha=\"0.05\", expect_size=\"26577920\"] \n  35 [size=\"114827947\", alpha=\"0.18\", expect_size=\"34448384\"] \n  36 [size=\"76441600\", alpha=\"0.02\", expect_size=\"22932480\"] \n  37 [size=\"154709333\", alpha=\"0.19\", expect_size=\"46412800\"] \n  38 [size=\"96351573\", alpha=\"0.13\", expect_size=\"28905472\"] \n  39 [size=\"83469653\", alpha=\"0.03\", expect_size=\"25040896\"] \n  40 [size=\"98481493\", alpha=\"0.10\", expect_size=\"29544448\"] \n  41 [size=\"148684800\", alpha=\"0.07\", expect_size=\"44605440\"] \n  42 [size=\"145575253\", alpha=\"0.06\", expect_size=\"43672576\"] \n  43 [size=\"114735787\", alpha=\"0.08\", expect_size=\"34420736\"] \n  44 [size=\"106594987\", alpha=\"0.04\", expect_size=\"31978496\"] \n  45 [size=\"143697920\", alpha=\"0.06\", expect_size=\"43109376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100642133\", alpha=\"0.10\", expect_size=\"30192640\"] \n  1 -> 3 [size =\"30192640\"]\n  1 -> 5 [size =\"30192640\"]\n  2 [size=\"95945387\", alpha=\"0.07\", expect_size=\"28783616\"] \n  2 -> 4 [size =\"28783616\"]\n  3 [size=\"108066133\", alpha=\"0.05\", expect_size=\"32419840\"] \n  3 -> 6 [size =\"32419840\"]\n  3 -> 7 [size =\"32419840\"]\n  4 [size=\"73379840\", alpha=\"0.03\", expect_size=\"22013952\"] \n  4 -> 8 [size =\"22013952\"]\n  5 [size=\"143281493\", alpha=\"0.17\", expect_size=\"42984448\"] \n  5 -> 8 [size =\"42984448\"]\n  6 [size=\"116275200\", alpha=\"0.18\", expect_size=\"34882560\"] \n  7 [size=\"25832107\", alpha=\"0.13\", expect_size=\"7749632\"] \n  7 -> 10 [size =\"7749632\"]\n  7 -> 11 [size =\"7749632\"]\n  8 [size=\"32836267\", alpha=\"0.10\", expect_size=\"9850880\"] \n  8 -> 9 [size =\"9850880\"]\n  8 -> 10 [size =\"9850880\"]\n  9 [size=\"121139200\", alpha=\"0.16\", expect_size=\"36341760\"] \n  10 [size=\"43915947\", alpha=\"0.16\", expect_size=\"13174784\"] \n  10 -> 12 [size =\"13174784\"]\n  11 [size=\"147531093\", alpha=\"0.05\", expect_size=\"44259328\"] \n  12 [size=\"70150827\", alpha=\"0.06\", expect_size=\"21045248\"] \n  12 -> 13 [size =\"21045248\"]\n  12 -> 14 [size =\"21045248\"]\n  13 [size=\"128153600\", alpha=\"0.12\", expect_size=\"38446080\"] \n  13 -> 15 [size =\"38446080\"]\n  13 -> 16 [size =\"38446080\"]\n  13 -> 17 [size =\"38446080\"]\n  14 [size=\"170731520\", alpha=\"0.18\", expect_size=\"51219456\"] \n  15 [size=\"33925120\", alpha=\"0.08\", expect_size=\"10177536\"] \n  15 -> 18 [size =\"10177536\"]\n  15 -> 19 [size =\"10177536\"]\n  15 -> 20 [size =\"10177536\"]\n  16 [size=\"165908480\", alpha=\"0.08\", expect_size=\"49772544\"] \n  16 -> 20 [size =\"49772544\"]\n  17 [size=\"153757013\", alpha=\"0.04\", expect_size=\"46127104\"] \n  18 [size=\"100167680\", alpha=\"0.13\", expect_size=\"30050304\"] \n  18 -> 21 [size =\"30050304\"]\n  19 [size=\"19490133\", alpha=\"0.06\", expect_size=\"5847040\"] \n  20 [size=\"145858560\", alpha=\"0.12\", expect_size=\"43757568\"] \n  20 -> 21 [size =\"43757568\"]\n  21 [size=\"113486507\", alpha=\"0.09\", expect_size=\"34045952\"] \n  21 -> 22 [size =\"34045952\"]\n  21 -> 23 [size =\"34045952\"]\n  21 -> 24 [size =\"34045952\"]\n  22 [size=\"156426240\", alpha=\"0.16\", expect_size=\"46927872\"] \n  22 -> 27 [size =\"46927872\"]\n  23 [size=\"45168640\", alpha=\"0.14\", expect_size=\"13550592\"] \n  23 -> 25 [size =\"13550592\"]\n  23 -> 26 [size =\"13550592\"]\n  24 [size=\"141950293\", alpha=\"0.20\", expect_size=\"42585088\"] \n  25 [size=\"129252693\", alpha=\"0.01\", expect_size=\"38775808\"] \n  25 -> 29 [size =\"38775808\"]\n  25 -> 30 [size =\"38775808\"]\n  26 [size=\"35423573\", alpha=\"0.15\", expect_size=\"10627072\"] \n  26 -> 28 [size =\"10627072\"]\n  27 [size=\"101307733\", alpha=\"0.10\", expect_size=\"30392320\"] \n  27 -> 30 [size =\"30392320\"]\n  28 [size=\"132358827\", alpha=\"0.07\", expect_size=\"39707648\"] \n  29 [size=\"77100373\", alpha=\"0.17\", expect_size=\"23130112\"] \n  29 -> 31 [size =\"23130112\"]\n  29 -> 32 [size =\"23130112\"]\n  30 [size=\"122166613\", alpha=\"0.11\", expect_size=\"36649984\"] \n  30 -> 32 [size =\"36649984\"]\n  31 [size=\"59374933\", alpha=\"0.01\", expect_size=\"17812480\"] \n  31 -> 33 [size =\"17812480\"]\n  32 [size=\"129181013\", alpha=\"0.18\", expect_size=\"38754304\"] \n  32 -> 34 [size =\"38754304\"]\n  33 [size=\"95484587\", alpha=\"0.09\", expect_size=\"28645376\"] \n  33 -> 35 [size =\"28645376\"]\n  33 -> 36 [size =\"28645376\"]\n  33 -> 37 [size =\"28645376\"]\n  34 [size=\"48875520\", alpha=\"0.19\", expect_size=\"14662656\"] \n  35 [size=\"45257387\", alpha=\"0.12\", expect_size=\"13577216\"] \n  36 [size=\"53152427\", alpha=\"0.03\", expect_size=\"15945728\"] \n  36 -> 38 [size =\"15945728\"]\n  36 -> 39 [size =\"15945728\"]\n  37 [size=\"171356160\", alpha=\"0.12\", expect_size=\"51406848\"] \n  37 -> 40 [size =\"51406848\"]\n  38 [size=\"93658453\", alpha=\"0.11\", expect_size=\"28097536\"] \n  38 -> 43 [size =\"28097536\"]\n  39 [size=\"149988693\", alpha=\"0.10\", expect_size=\"44996608\"] \n  39 -> 43 [size =\"44996608\"]\n  39 -> 44 [size =\"44996608\"]\n  40 [size=\"129437013\", alpha=\"0.06\", expect_size=\"38831104\"] \n  40 -> 41 [size =\"38831104\"]\n  40 -> 42 [size =\"38831104\"]\n  40 -> 44 [size =\"38831104\"]\n  41 [size=\"58449920\", alpha=\"0.14\", expect_size=\"17534976\"] \n  42 [size=\"67082240\", alpha=\"0.20\", expect_size=\"20124672\"] \n  43 [size=\"50722133\", alpha=\"0.09\", expect_size=\"15216640\"] \n  43 -> 45 [size =\"15216640\"]\n  44 [size=\"120046933\", alpha=\"0.14\", expect_size=\"36014080\"] \n  45 [size=\"113739093\", alpha=\"0.13\", expect_size=\"34121728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74326016\", alpha=\"0.07\", expect_size=\"37163008\"] \n  1 -> 20 [size =\"37163008\"]\n  1 -> 21 [size =\"37163008\"]\n  1 -> 22 [size =\"37163008\"]\n  1 -> 24 [size =\"37163008\"]\n  2 [size=\"104038400\", alpha=\"0.13\", expect_size=\"52019200\"] \n  2 -> 20 [size =\"52019200\"]\n  2 -> 22 [size =\"52019200\"]\n  2 -> 22 [size =\"52019200\"]\n  2 -> 23 [size =\"52019200\"]\n  3 [size=\"43476992\", alpha=\"0.18\", expect_size=\"21738496\"] \n  3 -> 20 [size =\"21738496\"]\n  3 -> 21 [size =\"21738496\"]\n  3 -> 23 [size =\"21738496\"]\n  3 -> 24 [size =\"21738496\"]\n  3 -> 25 [size =\"21738496\"]\n  3 -> 26 [size =\"21738496\"]\n  4 [size=\"104712192\", alpha=\"0.00\", expect_size=\"52356096\"] \n  4 -> 20 [size =\"52356096\"]\n  4 -> 21 [size =\"52356096\"]\n  4 -> 25 [size =\"52356096\"]\n  4 -> 26 [size =\"52356096\"]\n  5 [size=\"20578304\", alpha=\"0.14\", expect_size=\"10289152\"] \n  5 -> 22 [size =\"10289152\"]\n  5 -> 23 [size =\"10289152\"]\n  5 -> 24 [size =\"10289152\"]\n  5 -> 26 [size =\"10289152\"]\n  6 [size=\"50972672\", alpha=\"0.13\", expect_size=\"25486336\"] \n  6 -> 21 [size =\"25486336\"]\n  6 -> 22 [size =\"25486336\"]\n  6 -> 24 [size =\"25486336\"]\n  6 -> 25 [size =\"25486336\"]\n  6 -> 26 [size =\"25486336\"]\n  7 [size=\"69392384\", alpha=\"0.13\", expect_size=\"34696192\"] \n  7 -> 20 [size =\"34696192\"]\n  7 -> 21 [size =\"34696192\"]\n  7 -> 24 [size =\"34696192\"]\n  8 [size=\"62916608\", alpha=\"0.14\", expect_size=\"31458304\"] \n  8 -> 21 [size =\"31458304\"]\n  8 -> 24 [size =\"31458304\"]\n  9 [size=\"83255296\", alpha=\"0.06\", expect_size=\"41627648\"] \n  9 -> 20 [size =\"41627648\"]\n  9 -> 22 [size =\"41627648\"]\n  9 -> 24 [size =\"41627648\"]\n  10 [size=\"63481856\", alpha=\"0.06\", expect_size=\"31740928\"] \n  10 -> 21 [size =\"31740928\"]\n  10 -> 22 [size =\"31740928\"]\n  10 -> 24 [size =\"31740928\"]\n  11 [size=\"57767936\", alpha=\"0.06\", expect_size=\"28883968\"] \n  11 -> 20 [size =\"28883968\"]\n  11 -> 21 [size =\"28883968\"]\n  11 -> 22 [size =\"28883968\"]\n  12 [size=\"93022208\", alpha=\"0.02\", expect_size=\"46511104\"] \n  12 -> 20 [size =\"46511104\"]\n  12 -> 21 [size =\"46511104\"]\n  12 -> 24 [size =\"46511104\"]\n  12 -> 26 [size =\"46511104\"]\n  13 [size=\"61280256\", alpha=\"0.19\", expect_size=\"30640128\"] \n  13 -> 21 [size =\"30640128\"]\n  13 -> 23 [size =\"30640128\"]\n  14 [size=\"51347456\", alpha=\"0.08\", expect_size=\"25673728\"] \n  14 -> 20 [size =\"25673728\"]\n  14 -> 21 [size =\"25673728\"]\n  14 -> 23 [size =\"25673728\"]\n  14 -> 26 [size =\"25673728\"]\n  15 [size=\"51673088\", alpha=\"0.15\", expect_size=\"25836544\"] \n  15 -> 24 [size =\"25836544\"]\n  15 -> 25 [size =\"25836544\"]\n  15 -> 26 [size =\"25836544\"]\n  15 -> 26 [size =\"25836544\"]\n  16 [size=\"23400448\", alpha=\"0.01\", expect_size=\"11700224\"] \n  16 -> 22 [size =\"11700224\"]\n  16 -> 25 [size =\"11700224\"]\n  16 -> 26 [size =\"11700224\"]\n  17 [size=\"86444032\", alpha=\"0.00\", expect_size=\"43222016\"] \n  17 -> 22 [size =\"43222016\"]\n  17 -> 23 [size =\"43222016\"]\n  17 -> 24 [size =\"43222016\"]\n  17 -> 25 [size =\"43222016\"]\n  17 -> 26 [size =\"43222016\"]\n  18 [size=\"51417088\", alpha=\"0.06\", expect_size=\"25708544\"] \n  18 -> 21 [size =\"25708544\"]\n  18 -> 22 [size =\"25708544\"]\n  18 -> 23 [size =\"25708544\"]\n  18 -> 25 [size =\"25708544\"]\n  19 [size=\"24143872\", alpha=\"0.06\", expect_size=\"12071936\"] \n  19 -> 20 [size =\"12071936\"]\n  19 -> 22 [size =\"12071936\"]\n  19 -> 23 [size =\"12071936\"]\n  19 -> 24 [size =\"12071936\"]\n  20 [size=\"50761728\", alpha=\"0.04\", expect_size=\"25380864\"] \n  20 -> 27 [size =\"25380864\"]\n  20 -> 28 [size =\"25380864\"]\n  20 -> 32 [size =\"25380864\"]\n  20 -> 36 [size =\"25380864\"]\n  20 -> 36 [size =\"25380864\"]\n  20 -> 42 [size =\"25380864\"]\n  20 -> 43 [size =\"25380864\"]\n  20 -> 45 [size =\"25380864\"]\n  21 [size=\"81061888\", alpha=\"0.16\", expect_size=\"40530944\"] \n  21 -> 28 [size =\"40530944\"]\n  21 -> 31 [size =\"40530944\"]\n  21 -> 35 [size =\"40530944\"]\n  21 -> 36 [size =\"40530944\"]\n  21 -> 37 [size =\"40530944\"]\n  21 -> 40 [size =\"40530944\"]\n  21 -> 43 [size =\"40530944\"]\n  22 [size=\"12873728\", alpha=\"0.08\", expect_size=\"6436864\"] \n  22 -> 28 [size =\"6436864\"]\n  22 -> 30 [size =\"6436864\"]\n  22 -> 31 [size =\"6436864\"]\n  22 -> 34 [size =\"6436864\"]\n  22 -> 45 [size =\"6436864\"]\n  23 [size=\"23203840\", alpha=\"0.06\", expect_size=\"11601920\"] \n  23 -> 27 [size =\"11601920\"]\n  23 -> 28 [size =\"11601920\"]\n  23 -> 31 [size =\"11601920\"]\n  23 -> 34 [size =\"11601920\"]\n  23 -> 38 [size =\"11601920\"]\n  23 -> 45 [size =\"11601920\"]\n  24 [size=\"19681280\", alpha=\"0.05\", expect_size=\"9840640\"] \n  24 -> 27 [size =\"9840640\"]\n  24 -> 29 [size =\"9840640\"]\n  24 -> 36 [size =\"9840640\"]\n  24 -> 38 [size =\"9840640\"]\n  24 -> 40 [size =\"9840640\"]\n  24 -> 42 [size =\"9840640\"]\n  24 -> 43 [size =\"9840640\"]\n  25 [size=\"56514560\", alpha=\"0.05\", expect_size=\"28257280\"] \n  25 -> 27 [size =\"28257280\"]\n  25 -> 29 [size =\"28257280\"]\n  25 -> 31 [size =\"28257280\"]\n  25 -> 33 [size =\"28257280\"]\n  25 -> 34 [size =\"28257280\"]\n  25 -> 38 [size =\"28257280\"]\n  25 -> 41 [size =\"28257280\"]\n  25 -> 43 [size =\"28257280\"]\n  25 -> 45 [size =\"28257280\"]\n  26 [size=\"33247232\", alpha=\"0.15\", expect_size=\"16623616\"] \n  26 -> 29 [size =\"16623616\"]\n  26 -> 32 [size =\"16623616\"]\n  26 -> 33 [size =\"16623616\"]\n  26 -> 35 [size =\"16623616\"]\n  26 -> 36 [size =\"16623616\"]\n  26 -> 37 [size =\"16623616\"]\n  26 -> 38 [size =\"16623616\"]\n  26 -> 39 [size =\"16623616\"]\n  26 -> 40 [size =\"16623616\"]\n  26 -> 43 [size =\"16623616\"]\n  26 -> 44 [size =\"16623616\"]\n  26 -> 45 [size =\"16623616\"]\n  27 [size=\"39569408\", alpha=\"0.16\", expect_size=\"19784704\"] \n  28 [size=\"40095744\", alpha=\"0.09\", expect_size=\"20047872\"] \n  29 [size=\"68687872\", alpha=\"0.17\", expect_size=\"34343936\"] \n  30 [size=\"98080768\", alpha=\"0.17\", expect_size=\"49040384\"] \n  31 [size=\"24565760\", alpha=\"0.06\", expect_size=\"12282880\"] \n  32 [size=\"100730880\", alpha=\"0.13\", expect_size=\"50365440\"] \n  33 [size=\"42641408\", alpha=\"0.11\", expect_size=\"21320704\"] \n  34 [size=\"72032256\", alpha=\"0.18\", expect_size=\"36016128\"] \n  35 [size=\"94388224\", alpha=\"0.13\", expect_size=\"47194112\"] \n  36 [size=\"25430016\", alpha=\"0.11\", expect_size=\"12715008\"] \n  37 [size=\"94390272\", alpha=\"0.05\", expect_size=\"47195136\"] \n  38 [size=\"77060096\", alpha=\"0.07\", expect_size=\"38530048\"] \n  39 [size=\"25872384\", alpha=\"0.13\", expect_size=\"12936192\"] \n  40 [size=\"13598720\", alpha=\"0.07\", expect_size=\"6799360\"] \n  41 [size=\"93237248\", alpha=\"0.16\", expect_size=\"46618624\"] \n  42 [size=\"28952576\", alpha=\"0.05\", expect_size=\"14476288\"] \n  43 [size=\"92026880\", alpha=\"0.18\", expect_size=\"46013440\"] \n  44 [size=\"50141184\", alpha=\"0.12\", expect_size=\"25070592\"] \n  45 [size=\"38526976\", alpha=\"0.16\", expect_size=\"19263488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67836587\", alpha=\"0.14\", expect_size=\"20350976\"] \n  1 -> 15 [size =\"20350976\"]\n  1 -> 19 [size =\"20350976\"]\n  1 -> 20 [size =\"20350976\"]\n  1 -> 24 [size =\"20350976\"]\n  1 -> 25 [size =\"20350976\"]\n  1 -> 28 [size =\"20350976\"]\n  2 [size=\"83090773\", alpha=\"0.00\", expect_size=\"24927232\"] \n  2 -> 15 [size =\"24927232\"]\n  2 -> 16 [size =\"24927232\"]\n  2 -> 18 [size =\"24927232\"]\n  2 -> 19 [size =\"24927232\"]\n  2 -> 20 [size =\"24927232\"]\n  2 -> 24 [size =\"24927232\"]\n  2 -> 25 [size =\"24927232\"]\n  2 -> 26 [size =\"24927232\"]\n  2 -> 27 [size =\"24927232\"]\n  3 [size=\"153750187\", alpha=\"0.16\", expect_size=\"46125056\"] \n  3 -> 15 [size =\"46125056\"]\n  3 -> 18 [size =\"46125056\"]\n  3 -> 18 [size =\"46125056\"]\n  3 -> 19 [size =\"46125056\"]\n  3 -> 20 [size =\"46125056\"]\n  3 -> 21 [size =\"46125056\"]\n  3 -> 25 [size =\"46125056\"]\n  3 -> 27 [size =\"46125056\"]\n  3 -> 28 [size =\"46125056\"]\n  4 [size=\"99969707\", alpha=\"0.00\", expect_size=\"29990912\"] \n  4 -> 15 [size =\"29990912\"]\n  4 -> 18 [size =\"29990912\"]\n  4 -> 19 [size =\"29990912\"]\n  4 -> 20 [size =\"29990912\"]\n  4 -> 20 [size =\"29990912\"]\n  4 -> 21 [size =\"29990912\"]\n  5 [size=\"130491733\", alpha=\"0.06\", expect_size=\"39147520\"] \n  5 -> 15 [size =\"39147520\"]\n  5 -> 17 [size =\"39147520\"]\n  5 -> 18 [size =\"39147520\"]\n  5 -> 19 [size =\"39147520\"]\n  5 -> 20 [size =\"39147520\"]\n  5 -> 22 [size =\"39147520\"]\n  5 -> 24 [size =\"39147520\"]\n  5 -> 25 [size =\"39147520\"]\n  6 [size=\"116254720\", alpha=\"0.14\", expect_size=\"34876416\"] \n  6 -> 15 [size =\"34876416\"]\n  6 -> 19 [size =\"34876416\"]\n  6 -> 20 [size =\"34876416\"]\n  6 -> 24 [size =\"34876416\"]\n  6 -> 27 [size =\"34876416\"]\n  6 -> 29 [size =\"34876416\"]\n  7 [size=\"148548267\", alpha=\"0.20\", expect_size=\"44564480\"] \n  7 -> 17 [size =\"44564480\"]\n  7 -> 19 [size =\"44564480\"]\n  7 -> 22 [size =\"44564480\"]\n  7 -> 24 [size =\"44564480\"]\n  7 -> 26 [size =\"44564480\"]\n  7 -> 27 [size =\"44564480\"]\n  7 -> 28 [size =\"44564480\"]\n  8 [size=\"55705600\", alpha=\"0.13\", expect_size=\"16711680\"] \n  8 -> 15 [size =\"16711680\"]\n  8 -> 17 [size =\"16711680\"]\n  8 -> 21 [size =\"16711680\"]\n  8 -> 24 [size =\"16711680\"]\n  8 -> 28 [size =\"16711680\"]\n  9 [size=\"45482667\", alpha=\"0.05\", expect_size=\"13644800\"] \n  9 -> 15 [size =\"13644800\"]\n  9 -> 18 [size =\"13644800\"]\n  9 -> 20 [size =\"13644800\"]\n  9 -> 21 [size =\"13644800\"]\n  9 -> 25 [size =\"13644800\"]\n  9 -> 26 [size =\"13644800\"]\n  10 [size=\"142168747\", alpha=\"0.16\", expect_size=\"42650624\"] \n  10 -> 15 [size =\"42650624\"]\n  10 -> 18 [size =\"42650624\"]\n  10 -> 20 [size =\"42650624\"]\n  10 -> 25 [size =\"42650624\"]\n  10 -> 26 [size =\"42650624\"]\n  10 -> 28 [size =\"42650624\"]\n  10 -> 29 [size =\"42650624\"]\n  11 [size=\"112728747\", alpha=\"0.12\", expect_size=\"33818624\"] \n  11 -> 15 [size =\"33818624\"]\n  11 -> 17 [size =\"33818624\"]\n  11 -> 18 [size =\"33818624\"]\n  11 -> 20 [size =\"33818624\"]\n  11 -> 21 [size =\"33818624\"]\n  11 -> 23 [size =\"33818624\"]\n  11 -> 24 [size =\"33818624\"]\n  11 -> 25 [size =\"33818624\"]\n  11 -> 26 [size =\"33818624\"]\n  11 -> 27 [size =\"33818624\"]\n  11 -> 28 [size =\"33818624\"]\n  12 [size=\"66897920\", alpha=\"0.18\", expect_size=\"20069376\"] \n  12 -> 15 [size =\"20069376\"]\n  12 -> 18 [size =\"20069376\"]\n  12 -> 19 [size =\"20069376\"]\n  12 -> 20 [size =\"20069376\"]\n  12 -> 21 [size =\"20069376\"]\n  12 -> 22 [size =\"20069376\"]\n  12 -> 24 [size =\"20069376\"]\n  12 -> 25 [size =\"20069376\"]\n  12 -> 26 [size =\"20069376\"]\n  12 -> 28 [size =\"20069376\"]\n  13 [size=\"68952747\", alpha=\"0.12\", expect_size=\"20685824\"] \n  13 -> 15 [size =\"20685824\"]\n  13 -> 17 [size =\"20685824\"]\n  13 -> 19 [size =\"20685824\"]\n  13 -> 24 [size =\"20685824\"]\n  13 -> 26 [size =\"20685824\"]\n  13 -> 28 [size =\"20685824\"]\n  14 [size=\"36536320\", alpha=\"0.11\", expect_size=\"10960896\"] \n  14 -> 18 [size =\"10960896\"]\n  14 -> 19 [size =\"10960896\"]\n  14 -> 19 [size =\"10960896\"]\n  14 -> 23 [size =\"10960896\"]\n  14 -> 24 [size =\"10960896\"]\n  14 -> 28 [size =\"10960896\"]\n  14 -> 29 [size =\"10960896\"]\n  15 [size=\"39277227\", alpha=\"0.06\", expect_size=\"11783168\"] \n  15 -> 30 [size =\"11783168\"]\n  15 -> 34 [size =\"11783168\"]\n  15 -> 37 [size =\"11783168\"]\n  15 -> 38 [size =\"11783168\"]\n  15 -> 39 [size =\"11783168\"]\n  15 -> 41 [size =\"11783168\"]\n  15 -> 42 [size =\"11783168\"]\n  16 [size=\"87210667\", alpha=\"0.02\", expect_size=\"26163200\"] \n  16 -> 30 [size =\"26163200\"]\n  16 -> 33 [size =\"26163200\"]\n  16 -> 34 [size =\"26163200\"]\n  16 -> 36 [size =\"26163200\"]\n  16 -> 38 [size =\"26163200\"]\n  16 -> 39 [size =\"26163200\"]\n  16 -> 40 [size =\"26163200\"]\n  16 -> 41 [size =\"26163200\"]\n  17 [size=\"43110400\", alpha=\"0.09\", expect_size=\"12933120\"] \n  17 -> 30 [size =\"12933120\"]\n  17 -> 35 [size =\"12933120\"]\n  17 -> 36 [size =\"12933120\"]\n  17 -> 37 [size =\"12933120\"]\n  17 -> 39 [size =\"12933120\"]\n  17 -> 39 [size =\"12933120\"]\n  17 -> 42 [size =\"12933120\"]\n  17 -> 43 [size =\"12933120\"]\n  18 [size=\"42936320\", alpha=\"0.01\", expect_size=\"12880896\"] \n  18 -> 30 [size =\"12880896\"]\n  18 -> 33 [size =\"12880896\"]\n  18 -> 34 [size =\"12880896\"]\n  18 -> 35 [size =\"12880896\"]\n  18 -> 36 [size =\"12880896\"]\n  18 -> 38 [size =\"12880896\"]\n  18 -> 39 [size =\"12880896\"]\n  18 -> 41 [size =\"12880896\"]\n  18 -> 43 [size =\"12880896\"]\n  19 [size=\"144032427\", alpha=\"0.19\", expect_size=\"43209728\"] \n  19 -> 30 [size =\"43209728\"]\n  19 -> 32 [size =\"43209728\"]\n  19 -> 33 [size =\"43209728\"]\n  19 -> 37 [size =\"43209728\"]\n  19 -> 39 [size =\"43209728\"]\n  19 -> 41 [size =\"43209728\"]\n  20 [size=\"29228373\", alpha=\"0.14\", expect_size=\"8768512\"] \n  20 -> 36 [size =\"8768512\"]\n  20 -> 38 [size =\"8768512\"]\n  20 -> 39 [size =\"8768512\"]\n  20 -> 41 [size =\"8768512\"]\n  20 -> 42 [size =\"8768512\"]\n  21 [size=\"156600320\", alpha=\"0.15\", expect_size=\"46980096\"] \n  21 -> 30 [size =\"46980096\"]\n  21 -> 31 [size =\"46980096\"]\n  21 -> 34 [size =\"46980096\"]\n  21 -> 36 [size =\"46980096\"]\n  21 -> 37 [size =\"46980096\"]\n  21 -> 39 [size =\"46980096\"]\n  21 -> 41 [size =\"46980096\"]\n  21 -> 42 [size =\"46980096\"]\n  22 [size=\"96665600\", alpha=\"0.05\", expect_size=\"28999680\"] \n  22 -> 30 [size =\"28999680\"]\n  22 -> 35 [size =\"28999680\"]\n  22 -> 36 [size =\"28999680\"]\n  22 -> 36 [size =\"28999680\"]\n  22 -> 37 [size =\"28999680\"]\n  22 -> 39 [size =\"28999680\"]\n  22 -> 42 [size =\"28999680\"]\n  23 [size=\"78807040\", alpha=\"0.12\", expect_size=\"23642112\"] \n  23 -> 30 [size =\"23642112\"]\n  23 -> 34 [size =\"23642112\"]\n  23 -> 36 [size =\"23642112\"]\n  23 -> 37 [size =\"23642112\"]\n  23 -> 37 [size =\"23642112\"]\n  23 -> 40 [size =\"23642112\"]\n  23 -> 41 [size =\"23642112\"]\n  23 -> 42 [size =\"23642112\"]\n  24 [size=\"172636160\", alpha=\"0.10\", expect_size=\"51790848\"] \n  24 -> 32 [size =\"51790848\"]\n  24 -> 34 [size =\"51790848\"]\n  24 -> 42 [size =\"51790848\"]\n  25 [size=\"105516373\", alpha=\"0.02\", expect_size=\"31654912\"] \n  25 -> 34 [size =\"31654912\"]\n  25 -> 38 [size =\"31654912\"]\n  25 -> 39 [size =\"31654912\"]\n  25 -> 40 [size =\"31654912\"]\n  25 -> 41 [size =\"31654912\"]\n  25 -> 42 [size =\"31654912\"]\n  25 -> 43 [size =\"31654912\"]\n  26 [size=\"151210667\", alpha=\"0.06\", expect_size=\"45363200\"] \n  26 -> 34 [size =\"45363200\"]\n  26 -> 37 [size =\"45363200\"]\n  26 -> 38 [size =\"45363200\"]\n  26 -> 41 [size =\"45363200\"]\n  26 -> 41 [size =\"45363200\"]\n  26 -> 42 [size =\"45363200\"]\n  26 -> 43 [size =\"45363200\"]\n  27 [size=\"165294080\", alpha=\"0.07\", expect_size=\"49588224\"] \n  27 -> 30 [size =\"49588224\"]\n  27 -> 32 [size =\"49588224\"]\n  27 -> 34 [size =\"49588224\"]\n  27 -> 35 [size =\"49588224\"]\n  27 -> 41 [size =\"49588224\"]\n  27 -> 42 [size =\"49588224\"]\n  28 [size=\"77929813\", alpha=\"0.13\", expect_size=\"23378944\"] \n  28 -> 30 [size =\"23378944\"]\n  28 -> 32 [size =\"23378944\"]\n  28 -> 34 [size =\"23378944\"]\n  28 -> 39 [size =\"23378944\"]\n  28 -> 41 [size =\"23378944\"]\n  28 -> 42 [size =\"23378944\"]\n  29 [size=\"86787413\", alpha=\"0.03\", expect_size=\"26036224\"] \n  29 -> 32 [size =\"26036224\"]\n  29 -> 34 [size =\"26036224\"]\n  29 -> 34 [size =\"26036224\"]\n  29 -> 36 [size =\"26036224\"]\n  29 -> 39 [size =\"26036224\"]\n  29 -> 41 [size =\"26036224\"]\n  29 -> 42 [size =\"26036224\"]\n  29 -> 43 [size =\"26036224\"]\n  30 [size=\"78004907\", alpha=\"0.08\", expect_size=\"23401472\"] \n  30 -> 44 [size =\"23401472\"]\n  31 [size=\"29801813\", alpha=\"0.06\", expect_size=\"8940544\"] \n  31 -> 44 [size =\"8940544\"]\n  32 [size=\"149824853\", alpha=\"0.10\", expect_size=\"44947456\"] \n  32 -> 44 [size =\"44947456\"]\n  33 [size=\"31832747\", alpha=\"0.20\", expect_size=\"9549824\"] \n  33 -> 44 [size =\"9549824\"]\n  33 -> 45 [size =\"9549824\"]\n  34 [size=\"126672213\", alpha=\"0.13\", expect_size=\"38001664\"] \n  35 [size=\"44980907\", alpha=\"0.08\", expect_size=\"13494272\"] \n  35 -> 44 [size =\"13494272\"]\n  35 -> 45 [size =\"13494272\"]\n  36 [size=\"57060693\", alpha=\"0.13\", expect_size=\"17118208\"] \n  36 -> 44 [size =\"17118208\"]\n  37 [size=\"104403627\", alpha=\"0.00\", expect_size=\"31321088\"] \n  37 -> 44 [size =\"31321088\"]\n  38 [size=\"160795307\", alpha=\"0.11\", expect_size=\"48238592\"] \n  38 -> 44 [size =\"48238592\"]\n  38 -> 45 [size =\"48238592\"]\n  39 [size=\"107185493\", alpha=\"0.18\", expect_size=\"32155648\"] \n  39 -> 44 [size =\"32155648\"]\n  40 [size=\"128863573\", alpha=\"0.07\", expect_size=\"38659072\"] \n  40 -> 44 [size =\"38659072\"]\n  41 [size=\"35956053\", alpha=\"0.13\", expect_size=\"10786816\"] \n  42 [size=\"81001813\", alpha=\"0.09\", expect_size=\"24300544\"] \n  43 [size=\"156132693\", alpha=\"0.13\", expect_size=\"46839808\"] \n  43 -> 44 [size =\"46839808\"]\n  44 [size=\"155545600\", alpha=\"0.17\", expect_size=\"46663680\"] \n  45 [size=\"98297173\", alpha=\"0.12\", expect_size=\"29489152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94187520\", alpha=\"0.09\", expect_size=\"37675008\"] \n  1 -> 3 [size =\"37675008\"]\n  1 -> 4 [size =\"37675008\"]\n  1 -> 5 [size =\"37675008\"]\n  2 [size=\"51345920\", alpha=\"0.02\", expect_size=\"20538368\"] \n  2 -> 3 [size =\"20538368\"]\n  2 -> 5 [size =\"20538368\"]\n  3 [size=\"66680320\", alpha=\"0.01\", expect_size=\"26672128\"] \n  3 -> 6 [size =\"26672128\"]\n  3 -> 7 [size =\"26672128\"]\n  4 [size=\"16629760\", alpha=\"0.10\", expect_size=\"6651904\"] \n  4 -> 6 [size =\"6651904\"]\n  4 -> 7 [size =\"6651904\"]\n  5 [size=\"130874880\", alpha=\"0.04\", expect_size=\"52349952\"] \n  5 -> 7 [size =\"52349952\"]\n  6 [size=\"30021120\", alpha=\"0.08\", expect_size=\"12008448\"] \n  6 -> 9 [size =\"12008448\"]\n  6 -> 10 [size =\"12008448\"]\n  7 [size=\"59619840\", alpha=\"0.08\", expect_size=\"23847936\"] \n  7 -> 8 [size =\"23847936\"]\n  7 -> 9 [size =\"23847936\"]\n  7 -> 10 [size =\"23847936\"]\n  8 [size=\"104279040\", alpha=\"0.05\", expect_size=\"41711616\"] \n  8 -> 11 [size =\"41711616\"]\n  9 [size=\"49303040\", alpha=\"0.08\", expect_size=\"19721216\"] \n  9 -> 11 [size =\"19721216\"]\n  9 -> 12 [size =\"19721216\"]\n  10 [size=\"44564480\", alpha=\"0.19\", expect_size=\"17825792\"] \n  10 -> 11 [size =\"17825792\"]\n  11 [size=\"14540800\", alpha=\"0.08\", expect_size=\"5816320\"] \n  12 [size=\"66805760\", alpha=\"0.13\", expect_size=\"26722304\"] \n  12 -> 13 [size =\"26722304\"]\n  12 -> 14 [size =\"26722304\"]\n  13 [size=\"78123520\", alpha=\"0.17\", expect_size=\"31249408\"] \n  13 -> 16 [size =\"31249408\"]\n  14 [size=\"81559040\", alpha=\"0.14\", expect_size=\"32623616\"] \n  14 -> 15 [size =\"32623616\"]\n  14 -> 16 [size =\"32623616\"]\n  15 [size=\"24005120\", alpha=\"0.17\", expect_size=\"9602048\"] \n  15 -> 17 [size =\"9602048\"]\n  15 -> 18 [size =\"9602048\"]\n  16 [size=\"47375360\", alpha=\"0.20\", expect_size=\"18950144\"] \n  16 -> 17 [size =\"18950144\"]\n  16 -> 18 [size =\"18950144\"]\n  17 [size=\"92689920\", alpha=\"0.11\", expect_size=\"37075968\"] \n  17 -> 19 [size =\"37075968\"]\n  17 -> 20 [size =\"37075968\"]\n  18 [size=\"20549120\", alpha=\"0.16\", expect_size=\"8219648\"] \n  18 -> 19 [size =\"8219648\"]\n  18 -> 20 [size =\"8219648\"]\n  19 [size=\"52410880\", alpha=\"0.02\", expect_size=\"20964352\"] \n  19 -> 21 [size =\"20964352\"]\n  19 -> 23 [size =\"20964352\"]\n  20 [size=\"98821120\", alpha=\"0.08\", expect_size=\"39528448\"] \n  20 -> 21 [size =\"39528448\"]\n  20 -> 22 [size =\"39528448\"]\n  20 -> 23 [size =\"39528448\"]\n  21 [size=\"95198720\", alpha=\"0.07\", expect_size=\"38079488\"] \n  21 -> 24 [size =\"38079488\"]\n  21 -> 26 [size =\"38079488\"]\n  22 [size=\"26045440\", alpha=\"0.12\", expect_size=\"10418176\"] \n  22 -> 24 [size =\"10418176\"]\n  22 -> 25 [size =\"10418176\"]\n  22 -> 26 [size =\"10418176\"]\n  23 [size=\"102010880\", alpha=\"0.07\", expect_size=\"40804352\"] \n  23 -> 24 [size =\"40804352\"]\n  23 -> 26 [size =\"40804352\"]\n  24 [size=\"82547200\", alpha=\"0.02\", expect_size=\"33018880\"] \n  24 -> 27 [size =\"33018880\"]\n  24 -> 28 [size =\"33018880\"]\n  24 -> 29 [size =\"33018880\"]\n  25 [size=\"45437440\", alpha=\"0.17\", expect_size=\"18174976\"] \n  25 -> 27 [size =\"18174976\"]\n  25 -> 29 [size =\"18174976\"]\n  26 [size=\"29491200\", alpha=\"0.15\", expect_size=\"11796480\"] \n  26 -> 27 [size =\"11796480\"]\n  27 [size=\"28853760\", alpha=\"0.01\", expect_size=\"11541504\"] \n  27 -> 30 [size =\"11541504\"]\n  27 -> 31 [size =\"11541504\"]\n  28 [size=\"93964800\", alpha=\"0.02\", expect_size=\"37585920\"] \n  28 -> 30 [size =\"37585920\"]\n  28 -> 31 [size =\"37585920\"]\n  29 [size=\"69012480\", alpha=\"0.10\", expect_size=\"27604992\"] \n  30 [size=\"82931200\", alpha=\"0.02\", expect_size=\"33172480\"] \n  30 -> 32 [size =\"33172480\"]\n  30 -> 33 [size =\"33172480\"]\n  31 [size=\"127802880\", alpha=\"0.15\", expect_size=\"51121152\"] \n  31 -> 33 [size =\"51121152\"]\n  32 [size=\"48783360\", alpha=\"0.18\", expect_size=\"19513344\"] \n  32 -> 34 [size =\"19513344\"]\n  32 -> 35 [size =\"19513344\"]\n  32 -> 36 [size =\"19513344\"]\n  33 [size=\"120040960\", alpha=\"0.11\", expect_size=\"48016384\"] \n  33 -> 34 [size =\"48016384\"]\n  33 -> 35 [size =\"48016384\"]\n  33 -> 36 [size =\"48016384\"]\n  34 [size=\"41254400\", alpha=\"0.16\", expect_size=\"16501760\"] \n  34 -> 37 [size =\"16501760\"]\n  34 -> 38 [size =\"16501760\"]\n  34 -> 39 [size =\"16501760\"]\n  35 [size=\"51875840\", alpha=\"0.02\", expect_size=\"20750336\"] \n  35 -> 37 [size =\"20750336\"]\n  35 -> 39 [size =\"20750336\"]\n  36 [size=\"33745920\", alpha=\"0.15\", expect_size=\"13498368\"] \n  36 -> 37 [size =\"13498368\"]\n  36 -> 39 [size =\"13498368\"]\n  37 [size=\"121743360\", alpha=\"0.01\", expect_size=\"48697344\"] \n  37 -> 41 [size =\"48697344\"]\n  38 [size=\"126451200\", alpha=\"0.08\", expect_size=\"50580480\"] \n  38 -> 40 [size =\"50580480\"]\n  38 -> 41 [size =\"50580480\"]\n  38 -> 42 [size =\"50580480\"]\n  39 [size=\"21076480\", alpha=\"0.02\", expect_size=\"8430592\"] \n  39 -> 40 [size =\"8430592\"]\n  39 -> 41 [size =\"8430592\"]\n  39 -> 42 [size =\"8430592\"]\n  40 [size=\"77749760\", alpha=\"0.10\", expect_size=\"31099904\"] \n  40 -> 43 [size =\"31099904\"]\n  40 -> 44 [size =\"31099904\"]\n  40 -> 45 [size =\"31099904\"]\n  41 [size=\"91996160\", alpha=\"0.12\", expect_size=\"36798464\"] \n  41 -> 43 [size =\"36798464\"]\n  41 -> 44 [size =\"36798464\"]\n  41 -> 45 [size =\"36798464\"]\n  42 [size=\"65251840\", alpha=\"0.17\", expect_size=\"26100736\"] \n  42 -> 44 [size =\"26100736\"]\n  42 -> 45 [size =\"26100736\"]\n  43 [size=\"51215360\", alpha=\"0.16\", expect_size=\"20486144\"] \n  44 [size=\"114905600\", alpha=\"0.08\", expect_size=\"45962240\"] \n  45 [size=\"88842240\", alpha=\"0.05\", expect_size=\"35536896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94979413\", alpha=\"0.08\", expect_size=\"28493824\"] \n  1 -> 2 [size =\"28493824\"]\n  2 [size=\"60293120\", alpha=\"0.04\", expect_size=\"18087936\"] \n  2 -> 3 [size =\"18087936\"]\n  3 [size=\"153774080\", alpha=\"0.06\", expect_size=\"46132224\"] \n  3 -> 4 [size =\"46132224\"]\n  4 [size=\"50916693\", alpha=\"0.20\", expect_size=\"15275008\"] \n  4 -> 5 [size =\"15275008\"]\n  5 [size=\"44325547\", alpha=\"0.01\", expect_size=\"13297664\"] \n  5 -> 6 [size =\"13297664\"]\n  6 [size=\"146739200\", alpha=\"0.02\", expect_size=\"44021760\"] \n  6 -> 7 [size =\"44021760\"]\n  7 [size=\"172782933\", alpha=\"0.16\", expect_size=\"51834880\"] \n  7 -> 8 [size =\"51834880\"]\n  8 [size=\"50479787\", alpha=\"0.03\", expect_size=\"15143936\"] \n  8 -> 9 [size =\"15143936\"]\n  9 [size=\"100829867\", alpha=\"0.07\", expect_size=\"30248960\"] \n  9 -> 10 [size =\"30248960\"]\n  10 [size=\"136171520\", alpha=\"0.09\", expect_size=\"40851456\"] \n  10 -> 11 [size =\"40851456\"]\n  11 [size=\"50670933\", alpha=\"0.08\", expect_size=\"15201280\"] \n  11 -> 12 [size =\"15201280\"]\n  12 [size=\"113797120\", alpha=\"0.09\", expect_size=\"34139136\"] \n  12 -> 13 [size =\"34139136\"]\n  13 [size=\"141571413\", alpha=\"0.08\", expect_size=\"42471424\"] \n  13 -> 14 [size =\"42471424\"]\n  14 [size=\"34757973\", alpha=\"0.16\", expect_size=\"10427392\"] \n  14 -> 15 [size =\"10427392\"]\n  15 [size=\"31733760\", alpha=\"0.02\", expect_size=\"9520128\"] \n  15 -> 16 [size =\"9520128\"]\n  16 [size=\"36208640\", alpha=\"0.14\", expect_size=\"10862592\"] \n  16 -> 17 [size =\"10862592\"]\n  17 [size=\"55756800\", alpha=\"0.05\", expect_size=\"16727040\"] \n  17 -> 18 [size =\"16727040\"]\n  18 [size=\"26405547\", alpha=\"0.10\", expect_size=\"7921664\"] \n  18 -> 19 [size =\"7921664\"]\n  19 [size=\"50858667\", alpha=\"0.09\", expect_size=\"15257600\"] \n  19 -> 20 [size =\"15257600\"]\n  20 [size=\"105885013\", alpha=\"0.09\", expect_size=\"31765504\"] \n  20 -> 21 [size =\"31765504\"]\n  21 [size=\"18496853\", alpha=\"0.18\", expect_size=\"5549056\"] \n  21 -> 22 [size =\"5549056\"]\n  22 [size=\"80872107\", alpha=\"0.13\", expect_size=\"24261632\"] \n  22 -> 23 [size =\"24261632\"]\n  23 [size=\"148336640\", alpha=\"0.06\", expect_size=\"44500992\"] \n  23 -> 24 [size =\"44500992\"]\n  24 [size=\"54213973\", alpha=\"0.02\", expect_size=\"16264192\"] \n  24 -> 25 [size =\"16264192\"]\n  25 [size=\"22244693\", alpha=\"0.02\", expect_size=\"6673408\"] \n  25 -> 26 [size =\"6673408\"]\n  26 [size=\"41663147\", alpha=\"0.19\", expect_size=\"12498944\"] \n  26 -> 27 [size =\"12498944\"]\n  27 [size=\"150708907\", alpha=\"0.15\", expect_size=\"45212672\"] \n  27 -> 28 [size =\"45212672\"]\n  28 [size=\"34123093\", alpha=\"0.15\", expect_size=\"10236928\"] \n  28 -> 29 [size =\"10236928\"]\n  29 [size=\"115145387\", alpha=\"0.06\", expect_size=\"34543616\"] \n  29 -> 30 [size =\"34543616\"]\n  30 [size=\"29436587\", alpha=\"0.12\", expect_size=\"8830976\"] \n  30 -> 31 [size =\"8830976\"]\n  31 [size=\"98676053\", alpha=\"0.03\", expect_size=\"29602816\"] \n  31 -> 32 [size =\"29602816\"]\n  32 [size=\"85790720\", alpha=\"0.05\", expect_size=\"25737216\"] \n  32 -> 33 [size =\"25737216\"]\n  33 [size=\"33607680\", alpha=\"0.04\", expect_size=\"10082304\"] \n  33 -> 34 [size =\"10082304\"]\n  34 [size=\"78417920\", alpha=\"0.04\", expect_size=\"23525376\"] \n  34 -> 35 [size =\"23525376\"]\n  35 [size=\"96385707\", alpha=\"0.06\", expect_size=\"28915712\"] \n  35 -> 36 [size =\"28915712\"]\n  36 [size=\"114356907\", alpha=\"0.11\", expect_size=\"34307072\"] \n  36 -> 37 [size =\"34307072\"]\n  37 [size=\"104314880\", alpha=\"0.01\", expect_size=\"31294464\"] \n  37 -> 38 [size =\"31294464\"]\n  38 [size=\"64276480\", alpha=\"0.11\", expect_size=\"19282944\"] \n  38 -> 39 [size =\"19282944\"]\n  39 [size=\"27255467\", alpha=\"0.06\", expect_size=\"8176640\"] \n  39 -> 40 [size =\"8176640\"]\n  40 [size=\"76598613\", alpha=\"0.13\", expect_size=\"22979584\"] \n  40 -> 41 [size =\"22979584\"]\n  41 [size=\"173721600\", alpha=\"0.19\", expect_size=\"52116480\"] \n  41 -> 42 [size =\"52116480\"]\n  42 [size=\"37246293\", alpha=\"0.13\", expect_size=\"11173888\"] \n  42 -> 43 [size =\"11173888\"]\n  43 [size=\"78066347\", alpha=\"0.04\", expect_size=\"23419904\"] \n  43 -> 44 [size =\"23419904\"]\n  44 [size=\"105707520\", alpha=\"0.00\", expect_size=\"31712256\"] \n  44 -> 45 [size =\"31712256\"]\n  45 [size=\"137454933\", alpha=\"0.16\", expect_size=\"41236480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119668053\", alpha=\"0.05\", expect_size=\"35900416\"] \n  1 -> 2 [size =\"35900416\"]\n  2 [size=\"88152747\", alpha=\"0.17\", expect_size=\"26445824\"] \n  2 -> 3 [size =\"26445824\"]\n  3 [size=\"124231680\", alpha=\"0.08\", expect_size=\"37269504\"] \n  3 -> 4 [size =\"37269504\"]\n  4 [size=\"136379733\", alpha=\"0.11\", expect_size=\"40913920\"] \n  4 -> 5 [size =\"40913920\"]\n  5 [size=\"115155627\", alpha=\"0.05\", expect_size=\"34546688\"] \n  5 -> 6 [size =\"34546688\"]\n  6 [size=\"156770987\", alpha=\"0.15\", expect_size=\"47031296\"] \n  6 -> 7 [size =\"47031296\"]\n  7 [size=\"173038933\", alpha=\"0.20\", expect_size=\"51911680\"] \n  7 -> 8 [size =\"51911680\"]\n  8 [size=\"19916800\", alpha=\"0.02\", expect_size=\"5975040\"] \n  8 -> 9 [size =\"5975040\"]\n  9 [size=\"53306027\", alpha=\"0.14\", expect_size=\"15991808\"] \n  9 -> 10 [size =\"15991808\"]\n  10 [size=\"152989013\", alpha=\"0.10\", expect_size=\"45896704\"] \n  10 -> 11 [size =\"45896704\"]\n  11 [size=\"147790507\", alpha=\"0.02\", expect_size=\"44337152\"] \n  11 -> 12 [size =\"44337152\"]\n  12 [size=\"33430187\", alpha=\"0.03\", expect_size=\"10029056\"] \n  12 -> 13 [size =\"10029056\"]\n  13 [size=\"170195627\", alpha=\"0.15\", expect_size=\"51058688\"] \n  13 -> 14 [size =\"51058688\"]\n  14 [size=\"78510080\", alpha=\"0.05\", expect_size=\"23553024\"] \n  14 -> 15 [size =\"23553024\"]\n  15 [size=\"162334720\", alpha=\"0.11\", expect_size=\"48700416\"] \n  15 -> 16 [size =\"48700416\"]\n  16 [size=\"46359893\", alpha=\"0.15\", expect_size=\"13907968\"] \n  16 -> 17 [size =\"13907968\"]\n  17 [size=\"165369173\", alpha=\"0.17\", expect_size=\"49610752\"] \n  17 -> 18 [size =\"49610752\"]\n  18 [size=\"162727253\", alpha=\"0.17\", expect_size=\"48818176\"] \n  18 -> 19 [size =\"48818176\"]\n  19 [size=\"18558293\", alpha=\"0.08\", expect_size=\"5567488\"] \n  19 -> 20 [size =\"5567488\"]\n  20 [size=\"129191253\", alpha=\"0.04\", expect_size=\"38757376\"] \n  20 -> 21 [size =\"38757376\"]\n  21 [size=\"54244693\", alpha=\"0.12\", expect_size=\"16273408\"] \n  21 -> 22 [size =\"16273408\"]\n  22 [size=\"72635733\", alpha=\"0.10\", expect_size=\"21790720\"] \n  22 -> 23 [size =\"21790720\"]\n  23 [size=\"99730773\", alpha=\"0.01\", expect_size=\"29919232\"] \n  23 -> 24 [size =\"29919232\"]\n  24 [size=\"63580160\", alpha=\"0.07\", expect_size=\"19074048\"] \n  24 -> 25 [size =\"19074048\"]\n  25 [size=\"101580800\", alpha=\"0.06\", expect_size=\"30474240\"] \n  25 -> 26 [size =\"30474240\"]\n  26 [size=\"26900480\", alpha=\"0.03\", expect_size=\"8070144\"] \n  26 -> 27 [size =\"8070144\"]\n  27 [size=\"148084053\", alpha=\"0.19\", expect_size=\"44425216\"] \n  27 -> 28 [size =\"44425216\"]\n  28 [size=\"121617067\", alpha=\"0.15\", expect_size=\"36485120\"] \n  28 -> 29 [size =\"36485120\"]\n  29 [size=\"96665600\", alpha=\"0.17\", expect_size=\"28999680\"] \n  29 -> 30 [size =\"28999680\"]\n  30 [size=\"159259307\", alpha=\"0.15\", expect_size=\"47777792\"] \n  30 -> 31 [size =\"47777792\"]\n  31 [size=\"30385493\", alpha=\"0.10\", expect_size=\"9115648\"] \n  31 -> 32 [size =\"9115648\"]\n  32 [size=\"126815573\", alpha=\"0.07\", expect_size=\"38044672\"] \n  32 -> 33 [size =\"38044672\"]\n  33 [size=\"47370240\", alpha=\"0.03\", expect_size=\"14211072\"] \n  33 -> 34 [size =\"14211072\"]\n  34 [size=\"56091307\", alpha=\"0.07\", expect_size=\"16827392\"] \n  34 -> 35 [size =\"16827392\"]\n  35 [size=\"114599253\", alpha=\"0.10\", expect_size=\"34379776\"] \n  35 -> 36 [size =\"34379776\"]\n  36 [size=\"163287040\", alpha=\"0.16\", expect_size=\"48986112\"] \n  36 -> 37 [size =\"48986112\"]\n  37 [size=\"26880000\", alpha=\"0.01\", expect_size=\"8064000\"] \n  37 -> 38 [size =\"8064000\"]\n  38 [size=\"18223787\", alpha=\"0.05\", expect_size=\"5467136\"] \n  38 -> 39 [size =\"5467136\"]\n  39 [size=\"139765760\", alpha=\"0.08\", expect_size=\"41929728\"] \n  39 -> 40 [size =\"41929728\"]\n  40 [size=\"112756053\", alpha=\"0.06\", expect_size=\"33826816\"] \n  40 -> 41 [size =\"33826816\"]\n  41 [size=\"72717653\", alpha=\"0.08\", expect_size=\"21815296\"] \n  41 -> 42 [size =\"21815296\"]\n  42 [size=\"149961387\", alpha=\"0.18\", expect_size=\"44988416\"] \n  42 -> 43 [size =\"44988416\"]\n  43 [size=\"45868373\", alpha=\"0.18\", expect_size=\"13760512\"] \n  43 -> 44 [size =\"13760512\"]\n  44 [size=\"70454613\", alpha=\"0.04\", expect_size=\"21136384\"] \n  44 -> 45 [size =\"21136384\"]\n  45 [size=\"127460693\", alpha=\"0.00\", expect_size=\"38238208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45/random.45.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:25 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41897984\", alpha=\"0.13\", expect_size=\"20948992\"] \n  1 -> 2 [size =\"20948992\"]\n  2 [size=\"25462784\", alpha=\"0.01\", expect_size=\"12731392\"] \n  2 -> 3 [size =\"12731392\"]\n  3 [size=\"13320192\", alpha=\"0.00\", expect_size=\"6660096\"] \n  3 -> 4 [size =\"6660096\"]\n  4 [size=\"43147264\", alpha=\"0.12\", expect_size=\"21573632\"] \n  4 -> 5 [size =\"21573632\"]\n  5 [size=\"69607424\", alpha=\"0.10\", expect_size=\"34803712\"] \n  5 -> 6 [size =\"34803712\"]\n  6 [size=\"58947584\", alpha=\"0.17\", expect_size=\"29473792\"] \n  6 -> 7 [size =\"29473792\"]\n  7 [size=\"63739904\", alpha=\"0.03\", expect_size=\"31869952\"] \n  7 -> 8 [size =\"31869952\"]\n  8 [size=\"48666624\", alpha=\"0.10\", expect_size=\"24333312\"] \n  8 -> 9 [size =\"24333312\"]\n  9 [size=\"59439104\", alpha=\"0.10\", expect_size=\"29719552\"] \n  9 -> 10 [size =\"29719552\"]\n  10 [size=\"17168384\", alpha=\"0.11\", expect_size=\"8584192\"] \n  10 -> 11 [size =\"8584192\"]\n  11 [size=\"63004672\", alpha=\"0.16\", expect_size=\"31502336\"] \n  11 -> 12 [size =\"31502336\"]\n  12 [size=\"30083072\", alpha=\"0.17\", expect_size=\"15041536\"] \n  12 -> 13 [size =\"15041536\"]\n  13 [size=\"36395008\", alpha=\"0.01\", expect_size=\"18197504\"] \n  13 -> 14 [size =\"18197504\"]\n  14 [size=\"37758976\", alpha=\"0.12\", expect_size=\"18879488\"] \n  14 -> 15 [size =\"18879488\"]\n  15 [size=\"92700672\", alpha=\"0.17\", expect_size=\"46350336\"] \n  15 -> 16 [size =\"46350336\"]\n  16 [size=\"44460032\", alpha=\"0.06\", expect_size=\"22230016\"] \n  16 -> 17 [size =\"22230016\"]\n  17 [size=\"32641024\", alpha=\"0.07\", expect_size=\"16320512\"] \n  17 -> 18 [size =\"16320512\"]\n  18 [size=\"45053952\", alpha=\"0.13\", expect_size=\"22526976\"] \n  18 -> 19 [size =\"22526976\"]\n  19 [size=\"90505216\", alpha=\"0.07\", expect_size=\"45252608\"] \n  19 -> 20 [size =\"45252608\"]\n  20 [size=\"45031424\", alpha=\"0.00\", expect_size=\"22515712\"] \n  20 -> 21 [size =\"22515712\"]\n  21 [size=\"97343488\", alpha=\"0.20\", expect_size=\"48671744\"] \n  21 -> 22 [size =\"48671744\"]\n  22 [size=\"76533760\", alpha=\"0.03\", expect_size=\"38266880\"] \n  22 -> 23 [size =\"38266880\"]\n  23 [size=\"62281728\", alpha=\"0.06\", expect_size=\"31140864\"] \n  23 -> 24 [size =\"31140864\"]\n  24 [size=\"68413440\", alpha=\"0.16\", expect_size=\"34206720\"] \n  24 -> 25 [size =\"34206720\"]\n  25 [size=\"31473664\", alpha=\"0.19\", expect_size=\"15736832\"] \n  25 -> 26 [size =\"15736832\"]\n  26 [size=\"17264640\", alpha=\"0.12\", expect_size=\"8632320\"] \n  26 -> 27 [size =\"8632320\"]\n  27 [size=\"43442176\", alpha=\"0.16\", expect_size=\"21721088\"] \n  27 -> 28 [size =\"21721088\"]\n  28 [size=\"76558336\", alpha=\"0.09\", expect_size=\"38279168\"] \n  28 -> 29 [size =\"38279168\"]\n  29 [size=\"42858496\", alpha=\"0.12\", expect_size=\"21429248\"] \n  29 -> 30 [size =\"21429248\"]\n  30 [size=\"76976128\", alpha=\"0.16\", expect_size=\"38488064\"] \n  30 -> 31 [size =\"38488064\"]\n  31 [size=\"77740032\", alpha=\"0.11\", expect_size=\"38870016\"] \n  31 -> 32 [size =\"38870016\"]\n  32 [size=\"76562432\", alpha=\"0.11\", expect_size=\"38281216\"] \n  32 -> 33 [size =\"38281216\"]\n  33 [size=\"88424448\", alpha=\"0.16\", expect_size=\"44212224\"] \n  33 -> 34 [size =\"44212224\"]\n  34 [size=\"21784576\", alpha=\"0.07\", expect_size=\"10892288\"] \n  34 -> 35 [size =\"10892288\"]\n  35 [size=\"98054144\", alpha=\"0.15\", expect_size=\"49027072\"] \n  35 -> 36 [size =\"49027072\"]\n  36 [size=\"93237248\", alpha=\"0.10\", expect_size=\"46618624\"] \n  36 -> 37 [size =\"46618624\"]\n  37 [size=\"55795712\", alpha=\"0.11\", expect_size=\"27897856\"] \n  37 -> 38 [size =\"27897856\"]\n  38 [size=\"38987776\", alpha=\"0.18\", expect_size=\"19493888\"] \n  38 -> 39 [size =\"19493888\"]\n  39 [size=\"80994304\", alpha=\"0.02\", expect_size=\"40497152\"] \n  39 -> 40 [size =\"40497152\"]\n  40 [size=\"42027008\", alpha=\"0.14\", expect_size=\"21013504\"] \n  40 -> 41 [size =\"21013504\"]\n  41 [size=\"23138304\", alpha=\"0.04\", expect_size=\"11569152\"] \n  41 -> 42 [size =\"11569152\"]\n  42 [size=\"76853248\", alpha=\"0.08\", expect_size=\"38426624\"] \n  42 -> 43 [size =\"38426624\"]\n  43 [size=\"34023424\", alpha=\"0.04\", expect_size=\"17011712\"] \n  43 -> 44 [size =\"17011712\"]\n  44 [size=\"14931968\", alpha=\"0.11\", expect_size=\"7465984\"] \n  44 -> 45 [size =\"7465984\"]\n  45 [size=\"46854144\", alpha=\"0.03\", expect_size=\"23427072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11528192\", alpha=\"0.11\", expect_size=\"5764096\"] \n  1 -> 14 [size =\"5764096\"]\n  1 -> 17 [size =\"5764096\"]\n  1 -> 18 [size =\"5764096\"]\n  1 -> 19 [size =\"5764096\"]\n  1 -> 21 [size =\"5764096\"]\n  1 -> 22 [size =\"5764096\"]\n  2 [size=\"11372544\", alpha=\"0.18\", expect_size=\"5686272\"] \n  2 -> 14 [size =\"5686272\"]\n  2 -> 17 [size =\"5686272\"]\n  2 -> 21 [size =\"5686272\"]\n  2 -> 22 [size =\"5686272\"]\n  3 [size=\"46624768\", alpha=\"0.14\", expect_size=\"23312384\"] \n  3 -> 16 [size =\"23312384\"]\n  3 -> 17 [size =\"23312384\"]\n  3 -> 19 [size =\"23312384\"]\n  4 [size=\"13856768\", alpha=\"0.11\", expect_size=\"6928384\"] \n  4 -> 16 [size =\"6928384\"]\n  4 -> 17 [size =\"6928384\"]\n  4 -> 21 [size =\"6928384\"]\n  5 [size=\"20756480\", alpha=\"0.15\", expect_size=\"10378240\"] \n  5 -> 14 [size =\"10378240\"]\n  5 -> 15 [size =\"10378240\"]\n  5 -> 16 [size =\"10378240\"]\n  5 -> 18 [size =\"10378240\"]\n  5 -> 21 [size =\"10378240\"]\n  6 [size=\"88035328\", alpha=\"0.04\", expect_size=\"44017664\"] \n  6 -> 15 [size =\"44017664\"]\n  6 -> 16 [size =\"44017664\"]\n  6 -> 18 [size =\"44017664\"]\n  6 -> 20 [size =\"44017664\"]\n  6 -> 21 [size =\"44017664\"]\n  7 [size=\"57673728\", alpha=\"0.14\", expect_size=\"28836864\"] \n  7 -> 14 [size =\"28836864\"]\n  7 -> 17 [size =\"28836864\"]\n  7 -> 18 [size =\"28836864\"]\n  7 -> 22 [size =\"28836864\"]\n  8 [size=\"56641536\", alpha=\"0.13\", expect_size=\"28320768\"] \n  8 -> 18 [size =\"28320768\"]\n  8 -> 22 [size =\"28320768\"]\n  8 -> 23 [size =\"28320768\"]\n  9 [size=\"54624256\", alpha=\"0.11\", expect_size=\"27312128\"] \n  9 -> 16 [size =\"27312128\"]\n  9 -> 21 [size =\"27312128\"]\n  10 [size=\"97325056\", alpha=\"0.17\", expect_size=\"48662528\"] \n  10 -> 16 [size =\"48662528\"]\n  10 -> 17 [size =\"48662528\"]\n  11 [size=\"49113088\", alpha=\"0.02\", expect_size=\"24556544\"] \n  11 -> 17 [size =\"24556544\"]\n  11 -> 21 [size =\"24556544\"]\n  12 [size=\"101416960\", alpha=\"0.14\", expect_size=\"50708480\"] \n  12 -> 16 [size =\"50708480\"]\n  12 -> 22 [size =\"50708480\"]\n  13 [size=\"90982400\", alpha=\"0.11\", expect_size=\"45491200\"] \n  13 -> 15 [size =\"45491200\"]\n  13 -> 16 [size =\"45491200\"]\n  13 -> 18 [size =\"45491200\"]\n  13 -> 21 [size =\"45491200\"]\n  13 -> 22 [size =\"45491200\"]\n  14 [size=\"63496192\", alpha=\"0.11\", expect_size=\"31748096\"] \n  14 -> 24 [size =\"31748096\"]\n  14 -> 34 [size =\"31748096\"]\n  14 -> 35 [size =\"31748096\"]\n  15 [size=\"23242752\", alpha=\"0.02\", expect_size=\"11621376\"] \n  15 -> 27 [size =\"11621376\"]\n  15 -> 29 [size =\"11621376\"]\n  15 -> 31 [size =\"11621376\"]\n  15 -> 32 [size =\"11621376\"]\n  15 -> 33 [size =\"11621376\"]\n  16 [size=\"93956096\", alpha=\"0.13\", expect_size=\"46978048\"] \n  16 -> 28 [size =\"46978048\"]\n  16 -> 30 [size =\"46978048\"]\n  16 -> 31 [size =\"46978048\"]\n  16 -> 33 [size =\"46978048\"]\n  16 -> 34 [size =\"46978048\"]\n  17 [size=\"16117760\", alpha=\"0.17\", expect_size=\"8058880\"] \n  17 -> 24 [size =\"8058880\"]\n  17 -> 26 [size =\"8058880\"]\n  17 -> 27 [size =\"8058880\"]\n  17 -> 28 [size =\"8058880\"]\n  17 -> 33 [size =\"8058880\"]\n  17 -> 35 [size =\"8058880\"]\n  18 [size=\"82464768\", alpha=\"0.08\", expect_size=\"41232384\"] \n  18 -> 28 [size =\"41232384\"]\n  19 [size=\"47314944\", alpha=\"0.11\", expect_size=\"23657472\"] \n  19 -> 25 [size =\"23657472\"]\n  19 -> 27 [size =\"23657472\"]\n  19 -> 29 [size =\"23657472\"]\n  19 -> 34 [size =\"23657472\"]\n  19 -> 35 [size =\"23657472\"]\n  20 [size=\"96888832\", alpha=\"0.17\", expect_size=\"48444416\"] \n  20 -> 24 [size =\"48444416\"]\n  20 -> 31 [size =\"48444416\"]\n  20 -> 33 [size =\"48444416\"]\n  21 [size=\"83630080\", alpha=\"0.03\", expect_size=\"41815040\"] \n  21 -> 24 [size =\"41815040\"]\n  21 -> 25 [size =\"41815040\"]\n  21 -> 27 [size =\"41815040\"]\n  21 -> 33 [size =\"41815040\"]\n  21 -> 34 [size =\"41815040\"]\n  22 [size=\"95025152\", alpha=\"0.09\", expect_size=\"47512576\"] \n  22 -> 26 [size =\"47512576\"]\n  22 -> 27 [size =\"47512576\"]\n  22 -> 27 [size =\"47512576\"]\n  23 [size=\"68681728\", alpha=\"0.02\", expect_size=\"34340864\"] \n  23 -> 24 [size =\"34340864\"]\n  23 -> 26 [size =\"34340864\"]\n  23 -> 28 [size =\"34340864\"]\n  23 -> 31 [size =\"34340864\"]\n  24 [size=\"27662336\", alpha=\"0.16\", expect_size=\"13831168\"] \n  24 -> 36 [size =\"13831168\"]\n  24 -> 37 [size =\"13831168\"]\n  24 -> 39 [size =\"13831168\"]\n  24 -> 42 [size =\"13831168\"]\n  24 -> 44 [size =\"13831168\"]\n  24 -> 45 [size =\"13831168\"]\n  25 [size=\"79984640\", alpha=\"0.13\", expect_size=\"39992320\"] \n  25 -> 36 [size =\"39992320\"]\n  25 -> 37 [size =\"39992320\"]\n  25 -> 39 [size =\"39992320\"]\n  25 -> 41 [size =\"39992320\"]\n  25 -> 42 [size =\"39992320\"]\n  25 -> 45 [size =\"39992320\"]\n  26 [size=\"89077760\", alpha=\"0.06\", expect_size=\"44538880\"] \n  26 -> 44 [size =\"44538880\"]\n  27 [size=\"54947840\", alpha=\"0.09\", expect_size=\"27473920\"] \n  27 -> 39 [size =\"27473920\"]\n  28 [size=\"39520256\", alpha=\"0.01\", expect_size=\"19760128\"] \n  28 -> 37 [size =\"19760128\"]\n  28 -> 39 [size =\"19760128\"]\n  28 -> 41 [size =\"19760128\"]\n  28 -> 45 [size =\"19760128\"]\n  29 [size=\"76513280\", alpha=\"0.04\", expect_size=\"38256640\"] \n  29 -> 39 [size =\"38256640\"]\n  29 -> 39 [size =\"38256640\"]\n  29 -> 40 [size =\"38256640\"]\n  29 -> 41 [size =\"38256640\"]\n  29 -> 42 [size =\"38256640\"]\n  29 -> 45 [size =\"38256640\"]\n  30 [size=\"36204544\", alpha=\"0.04\", expect_size=\"18102272\"] \n  30 -> 37 [size =\"18102272\"]\n  30 -> 39 [size =\"18102272\"]\n  30 -> 41 [size =\"18102272\"]\n  30 -> 42 [size =\"18102272\"]\n  30 -> 44 [size =\"18102272\"]\n  30 -> 45 [size =\"18102272\"]\n  31 [size=\"21903360\", alpha=\"0.13\", expect_size=\"10951680\"] \n  31 -> 37 [size =\"10951680\"]\n  31 -> 43 [size =\"10951680\"]\n  31 -> 44 [size =\"10951680\"]\n  31 -> 45 [size =\"10951680\"]\n  32 [size=\"34654208\", alpha=\"0.00\", expect_size=\"17327104\"] \n  32 -> 37 [size =\"17327104\"]\n  32 -> 38 [size =\"17327104\"]\n  33 [size=\"75341824\", alpha=\"0.05\", expect_size=\"37670912\"] \n  33 -> 36 [size =\"37670912\"]\n  33 -> 41 [size =\"37670912\"]\n  34 [size=\"85735424\", alpha=\"0.02\", expect_size=\"42867712\"] \n  34 -> 36 [size =\"42867712\"]\n  34 -> 38 [size =\"42867712\"]\n  34 -> 41 [size =\"42867712\"]\n  34 -> 44 [size =\"42867712\"]\n  35 [size=\"69206016\", alpha=\"0.01\", expect_size=\"34603008\"] \n  35 -> 36 [size =\"34603008\"]\n  35 -> 38 [size =\"34603008\"]\n  36 [size=\"36024320\", alpha=\"0.17\", expect_size=\"18012160\"] \n  37 [size=\"63744000\", alpha=\"0.15\", expect_size=\"31872000\"] \n  38 [size=\"10809344\", alpha=\"0.08\", expect_size=\"5404672\"] \n  39 [size=\"17743872\", alpha=\"0.09\", expect_size=\"8871936\"] \n  40 [size=\"34320384\", alpha=\"0.08\", expect_size=\"17160192\"] \n  41 [size=\"53006336\", alpha=\"0.03\", expect_size=\"26503168\"] \n  42 [size=\"18057216\", alpha=\"0.15\", expect_size=\"9028608\"] \n  43 [size=\"20406272\", alpha=\"0.00\", expect_size=\"10203136\"] \n  44 [size=\"46180352\", alpha=\"0.09\", expect_size=\"23090176\"] \n  45 [size=\"54018048\", alpha=\"0.12\", expect_size=\"27009024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123804160\", alpha=\"0.18\", expect_size=\"49521664\"] \n  1 -> 34 [size =\"49521664\"]\n  1 -> 35 [size =\"49521664\"]\n  1 -> 36 [size =\"49521664\"]\n  1 -> 37 [size =\"49521664\"]\n  1 -> 41 [size =\"49521664\"]\n  1 -> 44 [size =\"49521664\"]\n  1 -> 45 [size =\"49521664\"]\n  2 [size=\"95869440\", alpha=\"0.12\", expect_size=\"38347776\"] \n  2 -> 35 [size =\"38347776\"]\n  2 -> 37 [size =\"38347776\"]\n  2 -> 41 [size =\"38347776\"]\n  2 -> 42 [size =\"38347776\"]\n  3 [size=\"37839360\", alpha=\"0.08\", expect_size=\"15135744\"] \n  3 -> 34 [size =\"15135744\"]\n  3 -> 37 [size =\"15135744\"]\n  3 -> 39 [size =\"15135744\"]\n  3 -> 40 [size =\"15135744\"]\n  3 -> 41 [size =\"15135744\"]\n  3 -> 45 [size =\"15135744\"]\n  4 [size=\"32762880\", alpha=\"0.03\", expect_size=\"13105152\"] \n  4 -> 35 [size =\"13105152\"]\n  4 -> 37 [size =\"13105152\"]\n  4 -> 39 [size =\"13105152\"]\n  4 -> 44 [size =\"13105152\"]\n  4 -> 45 [size =\"13105152\"]\n  5 [size=\"68605440\", alpha=\"0.19\", expect_size=\"27442176\"] \n  5 -> 34 [size =\"27442176\"]\n  5 -> 36 [size =\"27442176\"]\n  5 -> 40 [size =\"27442176\"]\n  5 -> 41 [size =\"27442176\"]\n  5 -> 45 [size =\"27442176\"]\n  6 [size=\"21176320\", alpha=\"0.13\", expect_size=\"8470528\"] \n  6 -> 34 [size =\"8470528\"]\n  6 -> 36 [size =\"8470528\"]\n  6 -> 39 [size =\"8470528\"]\n  6 -> 44 [size =\"8470528\"]\n  7 [size=\"34864640\", alpha=\"0.08\", expect_size=\"13945856\"] \n  7 -> 34 [size =\"13945856\"]\n  7 -> 36 [size =\"13945856\"]\n  7 -> 41 [size =\"13945856\"]\n  7 -> 44 [size =\"13945856\"]\n  8 [size=\"123742720\", alpha=\"0.09\", expect_size=\"49497088\"] \n  8 -> 34 [size =\"49497088\"]\n  8 -> 36 [size =\"49497088\"]\n  8 -> 37 [size =\"49497088\"]\n  8 -> 40 [size =\"49497088\"]\n  8 -> 41 [size =\"49497088\"]\n  8 -> 44 [size =\"49497088\"]\n  9 [size=\"127792640\", alpha=\"0.03\", expect_size=\"51117056\"] \n  9 -> 34 [size =\"51117056\"]\n  9 -> 36 [size =\"51117056\"]\n  9 -> 37 [size =\"51117056\"]\n  9 -> 43 [size =\"51117056\"]\n  9 -> 44 [size =\"51117056\"]\n  10 [size=\"49139200\", alpha=\"0.16\", expect_size=\"19655680\"] \n  10 -> 37 [size =\"19655680\"]\n  10 -> 38 [size =\"19655680\"]\n  10 -> 45 [size =\"19655680\"]\n  11 [size=\"39761920\", alpha=\"0.09\", expect_size=\"15904768\"] \n  11 -> 36 [size =\"15904768\"]\n  11 -> 39 [size =\"15904768\"]\n  11 -> 45 [size =\"15904768\"]\n  12 [size=\"25456640\", alpha=\"0.14\", expect_size=\"10182656\"] \n  12 -> 34 [size =\"10182656\"]\n  12 -> 36 [size =\"10182656\"]\n  12 -> 37 [size =\"10182656\"]\n  12 -> 41 [size =\"10182656\"]\n  12 -> 44 [size =\"10182656\"]\n  13 [size=\"96117760\", alpha=\"0.16\", expect_size=\"38447104\"] \n  13 -> 34 [size =\"38447104\"]\n  13 -> 39 [size =\"38447104\"]\n  13 -> 41 [size =\"38447104\"]\n  14 [size=\"25500160\", alpha=\"0.06\", expect_size=\"10200064\"] \n  14 -> 34 [size =\"10200064\"]\n  14 -> 37 [size =\"10200064\"]\n  14 -> 39 [size =\"10200064\"]\n  14 -> 44 [size =\"10200064\"]\n  14 -> 45 [size =\"10200064\"]\n  15 [size=\"41858560\", alpha=\"0.06\", expect_size=\"16743424\"] \n  15 -> 34 [size =\"16743424\"]\n  15 -> 37 [size =\"16743424\"]\n  15 -> 39 [size =\"16743424\"]\n  15 -> 44 [size =\"16743424\"]\n  15 -> 45 [size =\"16743424\"]\n  16 [size=\"38476800\", alpha=\"0.08\", expect_size=\"15390720\"] \n  16 -> 34 [size =\"15390720\"]\n  16 -> 36 [size =\"15390720\"]\n  16 -> 37 [size =\"15390720\"]\n  16 -> 40 [size =\"15390720\"]\n  16 -> 45 [size =\"15390720\"]\n  17 [size=\"114513920\", alpha=\"0.14\", expect_size=\"45805568\"] \n  17 -> 34 [size =\"45805568\"]\n  17 -> 35 [size =\"45805568\"]\n  17 -> 36 [size =\"45805568\"]\n  17 -> 40 [size =\"45805568\"]\n  17 -> 41 [size =\"45805568\"]\n  17 -> 44 [size =\"45805568\"]\n  17 -> 45 [size =\"45805568\"]\n  18 [size=\"44275200\", alpha=\"0.07\", expect_size=\"17710080\"] \n  18 -> 36 [size =\"17710080\"]\n  18 -> 40 [size =\"17710080\"]\n  18 -> 41 [size =\"17710080\"]\n  18 -> 44 [size =\"17710080\"]\n  18 -> 45 [size =\"17710080\"]\n  19 [size=\"96924160\", alpha=\"0.07\", expect_size=\"38769664\"] \n  19 -> 35 [size =\"38769664\"]\n  19 -> 44 [size =\"38769664\"]\n  20 [size=\"114736640\", alpha=\"0.12\", expect_size=\"45894656\"] \n  20 -> 37 [size =\"45894656\"]\n  21 [size=\"93463040\", alpha=\"0.16\", expect_size=\"37385216\"] \n  21 -> 34 [size =\"37385216\"]\n  21 -> 36 [size =\"37385216\"]\n  21 -> 37 [size =\"37385216\"]\n  21 -> 39 [size =\"37385216\"]\n  21 -> 41 [size =\"37385216\"]\n  21 -> 44 [size =\"37385216\"]\n  22 [size=\"28367360\", alpha=\"0.14\", expect_size=\"11346944\"] \n  22 -> 34 [size =\"11346944\"]\n  22 -> 36 [size =\"11346944\"]\n  22 -> 37 [size =\"11346944\"]\n  22 -> 45 [size =\"11346944\"]\n  23 [size=\"113715200\", alpha=\"0.16\", expect_size=\"45486080\"] \n  23 -> 34 [size =\"45486080\"]\n  23 -> 36 [size =\"45486080\"]\n  23 -> 37 [size =\"45486080\"]\n  23 -> 45 [size =\"45486080\"]\n  24 [size=\"87879680\", alpha=\"0.01\", expect_size=\"35151872\"] \n  24 -> 34 [size =\"35151872\"]\n  24 -> 36 [size =\"35151872\"]\n  24 -> 37 [size =\"35151872\"]\n  25 [size=\"122181120\", alpha=\"0.16\", expect_size=\"48872448\"] \n  25 -> 34 [size =\"48872448\"]\n  25 -> 36 [size =\"48872448\"]\n  25 -> 37 [size =\"48872448\"]\n  25 -> 45 [size =\"48872448\"]\n  26 [size=\"37424640\", alpha=\"0.12\", expect_size=\"14969856\"] \n  26 -> 34 [size =\"14969856\"]\n  26 -> 36 [size =\"14969856\"]\n  26 -> 37 [size =\"14969856\"]\n  26 -> 41 [size =\"14969856\"]\n  26 -> 44 [size =\"14969856\"]\n  26 -> 45 [size =\"14969856\"]\n  27 [size=\"86366720\", alpha=\"0.12\", expect_size=\"34546688\"] \n  27 -> 34 [size =\"34546688\"]\n  27 -> 35 [size =\"34546688\"]\n  27 -> 36 [size =\"34546688\"]\n  27 -> 37 [size =\"34546688\"]\n  27 -> 41 [size =\"34546688\"]\n  27 -> 44 [size =\"34546688\"]\n  28 [size=\"50467840\", alpha=\"0.11\", expect_size=\"20187136\"] \n  28 -> 34 [size =\"20187136\"]\n  28 -> 36 [size =\"20187136\"]\n  28 -> 37 [size =\"20187136\"]\n  28 -> 39 [size =\"20187136\"]\n  28 -> 41 [size =\"20187136\"]\n  28 -> 45 [size =\"20187136\"]\n  29 [size=\"92280320\", alpha=\"0.09\", expect_size=\"36912128\"] \n  29 -> 35 [size =\"36912128\"]\n  29 -> 37 [size =\"36912128\"]\n  29 -> 39 [size =\"36912128\"]\n  29 -> 44 [size =\"36912128\"]\n  29 -> 45 [size =\"36912128\"]\n  29 -> 45 [size =\"36912128\"]\n  30 [size=\"17815040\", alpha=\"0.13\", expect_size=\"7126016\"] \n  30 -> 35 [size =\"7126016\"]\n  30 -> 36 [size =\"7126016\"]\n  30 -> 37 [size =\"7126016\"]\n  30 -> 40 [size =\"7126016\"]\n  30 -> 41 [size =\"7126016\"]\n  30 -> 45 [size =\"7126016\"]\n  31 [size=\"91072000\", alpha=\"0.02\", expect_size=\"36428800\"] \n  31 -> 34 [size =\"36428800\"]\n  31 -> 39 [size =\"36428800\"]\n  31 -> 45 [size =\"36428800\"]\n  32 [size=\"68853760\", alpha=\"0.12\", expect_size=\"27541504\"] \n  32 -> 34 [size =\"27541504\"]\n  32 -> 36 [size =\"27541504\"]\n  32 -> 37 [size =\"27541504\"]\n  32 -> 44 [size =\"27541504\"]\n  32 -> 45 [size =\"27541504\"]\n  33 [size=\"33925120\", alpha=\"0.17\", expect_size=\"13570048\"] \n  33 -> 34 [size =\"13570048\"]\n  33 -> 37 [size =\"13570048\"]\n  33 -> 40 [size =\"13570048\"]\n  33 -> 41 [size =\"13570048\"]\n  33 -> 44 [size =\"13570048\"]\n  33 -> 45 [size =\"13570048\"]\n  34 [size=\"128985600\", alpha=\"0.04\", expect_size=\"51594240\"] \n  35 [size=\"19796480\", alpha=\"0.16\", expect_size=\"7918592\"] \n  36 [size=\"115752960\", alpha=\"0.12\", expect_size=\"46301184\"] \n  37 [size=\"71032320\", alpha=\"0.05\", expect_size=\"28412928\"] \n  38 [size=\"25356800\", alpha=\"0.04\", expect_size=\"10142720\"] \n  39 [size=\"89364480\", alpha=\"0.17\", expect_size=\"35745792\"] \n  40 [size=\"23846400\", alpha=\"0.07\", expect_size=\"9538560\"] \n  41 [size=\"100769280\", alpha=\"0.11\", expect_size=\"40307712\"] \n  42 [size=\"110858240\", alpha=\"0.17\", expect_size=\"44343296\"] \n  43 [size=\"66465280\", alpha=\"0.00\", expect_size=\"26586112\"] \n  44 [size=\"50603520\", alpha=\"0.16\", expect_size=\"20241408\"] \n  45 [size=\"75665920\", alpha=\"0.11\", expect_size=\"30266368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37936640\", alpha=\"0.08\", expect_size=\"15174656\"] \n  1 -> 23 [size =\"15174656\"]\n  1 -> 24 [size =\"15174656\"]\n  1 -> 25 [size =\"15174656\"]\n  1 -> 26 [size =\"15174656\"]\n  1 -> 28 [size =\"15174656\"]\n  1 -> 30 [size =\"15174656\"]\n  2 [size=\"87971840\", alpha=\"0.10\", expect_size=\"35188736\"] \n  2 -> 23 [size =\"35188736\"]\n  2 -> 25 [size =\"35188736\"]\n  2 -> 29 [size =\"35188736\"]\n  3 [size=\"32727040\", alpha=\"0.15\", expect_size=\"13090816\"] \n  3 -> 24 [size =\"13090816\"]\n  4 [size=\"29012480\", alpha=\"0.06\", expect_size=\"11604992\"] \n  4 -> 24 [size =\"11604992\"]\n  4 -> 29 [size =\"11604992\"]\n  5 [size=\"39549440\", alpha=\"0.12\", expect_size=\"15819776\"] \n  5 -> 25 [size =\"15819776\"]\n  5 -> 26 [size =\"15819776\"]\n  5 -> 30 [size =\"15819776\"]\n  6 [size=\"108157440\", alpha=\"0.11\", expect_size=\"43262976\"] \n  6 -> 23 [size =\"43262976\"]\n  6 -> 26 [size =\"43262976\"]\n  7 [size=\"20551680\", alpha=\"0.20\", expect_size=\"8220672\"] \n  7 -> 25 [size =\"8220672\"]\n  7 -> 26 [size =\"8220672\"]\n  7 -> 29 [size =\"8220672\"]\n  8 [size=\"15887360\", alpha=\"0.09\", expect_size=\"6354944\"] \n  8 -> 23 [size =\"6354944\"]\n  8 -> 24 [size =\"6354944\"]\n  8 -> 26 [size =\"6354944\"]\n  8 -> 30 [size =\"6354944\"]\n  9 [size=\"40427520\", alpha=\"0.15\", expect_size=\"16171008\"] \n  9 -> 24 [size =\"16171008\"]\n  9 -> 24 [size =\"16171008\"]\n  10 [size=\"67287040\", alpha=\"0.01\", expect_size=\"26914816\"] \n  10 -> 25 [size =\"26914816\"]\n  10 -> 27 [size =\"26914816\"]\n  11 [size=\"30451200\", alpha=\"0.13\", expect_size=\"12180480\"] \n  11 -> 22 [size =\"12180480\"]\n  11 -> 25 [size =\"12180480\"]\n  11 -> 26 [size =\"12180480\"]\n  12 [size=\"77150720\", alpha=\"0.07\", expect_size=\"30860288\"] \n  12 -> 23 [size =\"30860288\"]\n  12 -> 26 [size =\"30860288\"]\n  12 -> 28 [size =\"30860288\"]\n  13 [size=\"19607040\", alpha=\"0.09\", expect_size=\"7842816\"] \n  13 -> 23 [size =\"7842816\"]\n  13 -> 28 [size =\"7842816\"]\n  14 [size=\"106941440\", alpha=\"0.11\", expect_size=\"42776576\"] \n  14 -> 22 [size =\"42776576\"]\n  14 -> 28 [size =\"42776576\"]\n  15 [size=\"25308160\", alpha=\"0.19\", expect_size=\"10123264\"] \n  15 -> 25 [size =\"10123264\"]\n  15 -> 30 [size =\"10123264\"]\n  16 [size=\"94402560\", alpha=\"0.04\", expect_size=\"37761024\"] \n  16 -> 21 [size =\"37761024\"]\n  17 [size=\"41848320\", alpha=\"0.19\", expect_size=\"16739328\"] \n  17 -> 21 [size =\"16739328\"]\n  17 -> 25 [size =\"16739328\"]\n  17 -> 26 [size =\"16739328\"]\n  17 -> 28 [size =\"16739328\"]\n  18 [size=\"39859200\", alpha=\"0.20\", expect_size=\"15943680\"] \n  18 -> 22 [size =\"15943680\"]\n  19 [size=\"92966400\", alpha=\"0.08\", expect_size=\"37186560\"] \n  19 -> 26 [size =\"37186560\"]\n  19 -> 30 [size =\"37186560\"]\n  20 [size=\"64542720\", alpha=\"0.16\", expect_size=\"25817088\"] \n  20 -> 23 [size =\"25817088\"]\n  20 -> 25 [size =\"25817088\"]\n  20 -> 26 [size =\"25817088\"]\n  20 -> 30 [size =\"25817088\"]\n  21 [size=\"67581440\", alpha=\"0.07\", expect_size=\"27032576\"] \n  21 -> 32 [size =\"27032576\"]\n  21 -> 33 [size =\"27032576\"]\n  21 -> 41 [size =\"27032576\"]\n  21 -> 44 [size =\"27032576\"]\n  22 [size=\"26119680\", alpha=\"0.12\", expect_size=\"10447872\"] \n  22 -> 31 [size =\"10447872\"]\n  22 -> 32 [size =\"10447872\"]\n  22 -> 33 [size =\"10447872\"]\n  22 -> 38 [size =\"10447872\"]\n  22 -> 41 [size =\"10447872\"]\n  22 -> 43 [size =\"10447872\"]\n  22 -> 45 [size =\"10447872\"]\n  23 [size=\"67425280\", alpha=\"0.20\", expect_size=\"26970112\"] \n  23 -> 33 [size =\"26970112\"]\n  23 -> 34 [size =\"26970112\"]\n  23 -> 35 [size =\"26970112\"]\n  23 -> 39 [size =\"26970112\"]\n  23 -> 41 [size =\"26970112\"]\n  24 [size=\"117939200\", alpha=\"0.11\", expect_size=\"47175680\"] \n  24 -> 31 [size =\"47175680\"]\n  24 -> 33 [size =\"47175680\"]\n  24 -> 35 [size =\"47175680\"]\n  24 -> 36 [size =\"47175680\"]\n  24 -> 37 [size =\"47175680\"]\n  24 -> 41 [size =\"47175680\"]\n  25 [size=\"64519680\", alpha=\"0.06\", expect_size=\"25807872\"] \n  25 -> 31 [size =\"25807872\"]\n  25 -> 32 [size =\"25807872\"]\n  25 -> 35 [size =\"25807872\"]\n  25 -> 37 [size =\"25807872\"]\n  25 -> 38 [size =\"25807872\"]\n  25 -> 40 [size =\"25807872\"]\n  25 -> 41 [size =\"25807872\"]\n  25 -> 43 [size =\"25807872\"]\n  26 [size=\"60451840\", alpha=\"0.17\", expect_size=\"24180736\"] \n  26 -> 34 [size =\"24180736\"]\n  26 -> 35 [size =\"24180736\"]\n  26 -> 37 [size =\"24180736\"]\n  26 -> 37 [size =\"24180736\"]\n  26 -> 39 [size =\"24180736\"]\n  26 -> 43 [size =\"24180736\"]\n  26 -> 44 [size =\"24180736\"]\n  27 [size=\"81871360\", alpha=\"0.09\", expect_size=\"32748544\"] \n  27 -> 31 [size =\"32748544\"]\n  27 -> 39 [size =\"32748544\"]\n  27 -> 42 [size =\"32748544\"]\n  27 -> 43 [size =\"32748544\"]\n  28 [size=\"74362880\", alpha=\"0.02\", expect_size=\"29745152\"] \n  28 -> 33 [size =\"29745152\"]\n  28 -> 36 [size =\"29745152\"]\n  28 -> 37 [size =\"29745152\"]\n  28 -> 39 [size =\"29745152\"]\n  28 -> 45 [size =\"29745152\"]\n  29 [size=\"72762880\", alpha=\"0.20\", expect_size=\"29105152\"] \n  29 -> 31 [size =\"29105152\"]\n  29 -> 33 [size =\"29105152\"]\n  29 -> 36 [size =\"29105152\"]\n  29 -> 38 [size =\"29105152\"]\n  29 -> 45 [size =\"29105152\"]\n  30 [size=\"119080960\", alpha=\"0.07\", expect_size=\"47632384\"] \n  30 -> 35 [size =\"47632384\"]\n  30 -> 36 [size =\"47632384\"]\n  30 -> 38 [size =\"47632384\"]\n  30 -> 39 [size =\"47632384\"]\n  30 -> 42 [size =\"47632384\"]\n  30 -> 43 [size =\"47632384\"]\n  31 [size=\"92723200\", alpha=\"0.16\", expect_size=\"37089280\"] \n  32 [size=\"18519040\", alpha=\"0.17\", expect_size=\"7407616\"] \n  33 [size=\"89295360\", alpha=\"0.18\", expect_size=\"35718144\"] \n  34 [size=\"88750080\", alpha=\"0.16\", expect_size=\"35500032\"] \n  35 [size=\"32783360\", alpha=\"0.16\", expect_size=\"13113344\"] \n  36 [size=\"65804800\", alpha=\"0.09\", expect_size=\"26321920\"] \n  37 [size=\"46935040\", alpha=\"0.07\", expect_size=\"18774016\"] \n  38 [size=\"101585920\", alpha=\"0.10\", expect_size=\"40634368\"] \n  39 [size=\"114572800\", alpha=\"0.07\", expect_size=\"45829120\"] \n  40 [size=\"113216000\", alpha=\"0.12\", expect_size=\"45286400\"] \n  41 [size=\"33735680\", alpha=\"0.06\", expect_size=\"13494272\"] \n  42 [size=\"129402880\", alpha=\"0.02\", expect_size=\"51761152\"] \n  43 [size=\"110369280\", alpha=\"0.08\", expect_size=\"44147712\"] \n  44 [size=\"101099520\", alpha=\"0.12\", expect_size=\"40439808\"] \n  45 [size=\"77463040\", alpha=\"0.04\", expect_size=\"30985216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58234880\", alpha=\"0.04\", expect_size=\"23293952\"] \n  1 -> 3 [size =\"23293952\"]\n  1 -> 5 [size =\"23293952\"]\n  2 [size=\"45734400\", alpha=\"0.07\", expect_size=\"18293760\"] \n  2 -> 3 [size =\"18293760\"]\n  2 -> 4 [size =\"18293760\"]\n  3 [size=\"25208320\", alpha=\"0.10\", expect_size=\"10083328\"] \n  3 -> 6 [size =\"10083328\"]\n  3 -> 7 [size =\"10083328\"]\n  3 -> 8 [size =\"10083328\"]\n  4 [size=\"82339840\", alpha=\"0.04\", expect_size=\"32935936\"] \n  5 [size=\"37813760\", alpha=\"0.05\", expect_size=\"15125504\"] \n  5 -> 8 [size =\"15125504\"]\n  6 [size=\"97704960\", alpha=\"0.18\", expect_size=\"39081984\"] \n  6 -> 9 [size =\"39081984\"]\n  6 -> 11 [size =\"39081984\"]\n  7 [size=\"89072640\", alpha=\"0.13\", expect_size=\"35629056\"] \n  7 -> 9 [size =\"35629056\"]\n  7 -> 10 [size =\"35629056\"]\n  7 -> 11 [size =\"35629056\"]\n  8 [size=\"99566080\", alpha=\"0.11\", expect_size=\"39826432\"] \n  9 [size=\"53452800\", alpha=\"0.08\", expect_size=\"21381120\"] \n  9 -> 12 [size =\"21381120\"]\n  10 [size=\"27176960\", alpha=\"0.20\", expect_size=\"10870784\"] \n  10 -> 12 [size =\"10870784\"]\n  10 -> 14 [size =\"10870784\"]\n  11 [size=\"82211840\", alpha=\"0.18\", expect_size=\"32884736\"] \n  11 -> 13 [size =\"32884736\"]\n  12 [size=\"106449920\", alpha=\"0.07\", expect_size=\"42579968\"] \n  12 -> 16 [size =\"42579968\"]\n  13 [size=\"31851520\", alpha=\"0.02\", expect_size=\"12740608\"] \n  13 -> 15 [size =\"12740608\"]\n  14 [size=\"90007040\", alpha=\"0.18\", expect_size=\"36002816\"] \n  15 [size=\"112350720\", alpha=\"0.14\", expect_size=\"44940288\"] \n  15 -> 19 [size =\"44940288\"]\n  16 [size=\"23032320\", alpha=\"0.02\", expect_size=\"9212928\"] \n  16 -> 17 [size =\"9212928\"]\n  16 -> 18 [size =\"9212928\"]\n  17 [size=\"130895360\", alpha=\"0.12\", expect_size=\"52358144\"] \n  18 [size=\"87585280\", alpha=\"0.10\", expect_size=\"35034112\"] \n  18 -> 20 [size =\"35034112\"]\n  18 -> 21 [size =\"35034112\"]\n  19 [size=\"34990080\", alpha=\"0.02\", expect_size=\"13996032\"] \n  19 -> 20 [size =\"13996032\"]\n  19 -> 21 [size =\"13996032\"]\n  20 [size=\"81472000\", alpha=\"0.11\", expect_size=\"32588800\"] \n  20 -> 23 [size =\"32588800\"]\n  21 [size=\"81295360\", alpha=\"0.07\", expect_size=\"32518144\"] \n  21 -> 22 [size =\"32518144\"]\n  22 [size=\"67819520\", alpha=\"0.08\", expect_size=\"27127808\"] \n  22 -> 24 [size =\"27127808\"]\n  22 -> 25 [size =\"27127808\"]\n  23 [size=\"110760960\", alpha=\"0.12\", expect_size=\"44304384\"] \n  23 -> 24 [size =\"44304384\"]\n  23 -> 25 [size =\"44304384\"]\n  23 -> 26 [size =\"44304384\"]\n  24 [size=\"120138240\", alpha=\"0.07\", expect_size=\"48055296\"] \n  24 -> 29 [size =\"48055296\"]\n  25 [size=\"108523520\", alpha=\"0.06\", expect_size=\"43409408\"] \n  25 -> 27 [size =\"43409408\"]\n  25 -> 28 [size =\"43409408\"]\n  25 -> 29 [size =\"43409408\"]\n  26 [size=\"74777600\", alpha=\"0.00\", expect_size=\"29911040\"] \n  26 -> 28 [size =\"29911040\"]\n  27 [size=\"89315840\", alpha=\"0.07\", expect_size=\"35726336\"] \n  28 [size=\"41244160\", alpha=\"0.08\", expect_size=\"16497664\"] \n  28 -> 30 [size =\"16497664\"]\n  28 -> 31 [size =\"16497664\"]\n  28 -> 32 [size =\"16497664\"]\n  29 [size=\"99333120\", alpha=\"0.16\", expect_size=\"39733248\"] \n  29 -> 31 [size =\"39733248\"]\n  29 -> 32 [size =\"39733248\"]\n  30 [size=\"113610240\", alpha=\"0.07\", expect_size=\"45444096\"] \n  30 -> 35 [size =\"45444096\"]\n  31 [size=\"58836480\", alpha=\"0.09\", expect_size=\"23534592\"] \n  31 -> 33 [size =\"23534592\"]\n  31 -> 34 [size =\"23534592\"]\n  31 -> 35 [size =\"23534592\"]\n  32 [size=\"98101760\", alpha=\"0.07\", expect_size=\"39240704\"] \n  32 -> 33 [size =\"39240704\"]\n  32 -> 34 [size =\"39240704\"]\n  33 [size=\"28108800\", alpha=\"0.09\", expect_size=\"11243520\"] \n  33 -> 37 [size =\"11243520\"]\n  33 -> 38 [size =\"11243520\"]\n  34 [size=\"96885760\", alpha=\"0.03\", expect_size=\"38754304\"] \n  34 -> 37 [size =\"38754304\"]\n  35 [size=\"19770880\", alpha=\"0.14\", expect_size=\"7908352\"] \n  35 -> 36 [size =\"7908352\"]\n  36 [size=\"57402880\", alpha=\"0.07\", expect_size=\"22961152\"] \n  37 [size=\"58447360\", alpha=\"0.20\", expect_size=\"23378944\"] \n  37 -> 39 [size =\"23378944\"]\n  37 -> 40 [size =\"23378944\"]\n  37 -> 41 [size =\"23378944\"]\n  38 [size=\"98874880\", alpha=\"0.05\", expect_size=\"39549952\"] \n  38 -> 39 [size =\"39549952\"]\n  39 [size=\"29214720\", alpha=\"0.14\", expect_size=\"11685888\"] \n  39 -> 42 [size =\"11685888\"]\n  40 [size=\"125744640\", alpha=\"0.15\", expect_size=\"50297856\"] \n  41 [size=\"48640000\", alpha=\"0.07\", expect_size=\"19456000\"] \n  41 -> 42 [size =\"19456000\"]\n  41 -> 43 [size =\"19456000\"]\n  41 -> 44 [size =\"19456000\"]\n  42 [size=\"102932480\", alpha=\"0.09\", expect_size=\"41172992\"] \n  42 -> 45 [size =\"41172992\"]\n  43 [size=\"28080640\", alpha=\"0.07\", expect_size=\"11232256\"] \n  43 -> 45 [size =\"11232256\"]\n  44 [size=\"78753280\", alpha=\"0.03\", expect_size=\"31501312\"] \n  45 [size=\"95920640\", alpha=\"0.16\", expect_size=\"38368256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35159040\", alpha=\"0.11\", expect_size=\"14063616\"] \n  1 -> 2 [size =\"14063616\"]\n  2 [size=\"85396480\", alpha=\"0.02\", expect_size=\"34158592\"] \n  2 -> 3 [size =\"34158592\"]\n  3 [size=\"19223040\", alpha=\"0.08\", expect_size=\"7689216\"] \n  3 -> 4 [size =\"7689216\"]\n  4 [size=\"121384960\", alpha=\"0.08\", expect_size=\"48553984\"] \n  4 -> 5 [size =\"48553984\"]\n  5 [size=\"125143040\", alpha=\"0.06\", expect_size=\"50057216\"] \n  5 -> 6 [size =\"50057216\"]\n  6 [size=\"109516800\", alpha=\"0.19\", expect_size=\"43806720\"] \n  6 -> 7 [size =\"43806720\"]\n  7 [size=\"74995200\", alpha=\"0.19\", expect_size=\"29998080\"] \n  7 -> 8 [size =\"29998080\"]\n  8 [size=\"17118720\", alpha=\"0.08\", expect_size=\"6847488\"] \n  8 -> 9 [size =\"6847488\"]\n  9 [size=\"99325440\", alpha=\"0.09\", expect_size=\"39730176\"] \n  9 -> 10 [size =\"39730176\"]\n  10 [size=\"79864320\", alpha=\"0.03\", expect_size=\"31945728\"] \n  10 -> 11 [size =\"31945728\"]\n  11 [size=\"47767040\", alpha=\"0.18\", expect_size=\"19106816\"] \n  11 -> 12 [size =\"19106816\"]\n  12 [size=\"115246080\", alpha=\"0.18\", expect_size=\"46098432\"] \n  12 -> 13 [size =\"46098432\"]\n  13 [size=\"129208320\", alpha=\"0.01\", expect_size=\"51683328\"] \n  13 -> 14 [size =\"51683328\"]\n  14 [size=\"59845120\", alpha=\"0.07\", expect_size=\"23938048\"] \n  14 -> 15 [size =\"23938048\"]\n  15 [size=\"105600000\", alpha=\"0.09\", expect_size=\"42240000\"] \n  15 -> 16 [size =\"42240000\"]\n  16 [size=\"21987840\", alpha=\"0.01\", expect_size=\"8795136\"] \n  16 -> 17 [size =\"8795136\"]\n  17 [size=\"18457600\", alpha=\"0.20\", expect_size=\"7383040\"] \n  17 -> 18 [size =\"7383040\"]\n  18 [size=\"14571520\", alpha=\"0.14\", expect_size=\"5828608\"] \n  18 -> 19 [size =\"5828608\"]\n  19 [size=\"63188480\", alpha=\"0.15\", expect_size=\"25275392\"] \n  19 -> 20 [size =\"25275392\"]\n  20 [size=\"117073920\", alpha=\"0.15\", expect_size=\"46829568\"] \n  20 -> 21 [size =\"46829568\"]\n  21 [size=\"17351680\", alpha=\"0.18\", expect_size=\"6940672\"] \n  21 -> 22 [size =\"6940672\"]\n  22 [size=\"122222080\", alpha=\"0.13\", expect_size=\"48888832\"] \n  22 -> 23 [size =\"48888832\"]\n  23 [size=\"111872000\", alpha=\"0.09\", expect_size=\"44748800\"] \n  23 -> 24 [size =\"44748800\"]\n  24 [size=\"116646400\", alpha=\"0.04\", expect_size=\"46658560\"] \n  24 -> 25 [size =\"46658560\"]\n  25 [size=\"41758720\", alpha=\"0.17\", expect_size=\"16703488\"] \n  25 -> 26 [size =\"16703488\"]\n  26 [size=\"92357120\", alpha=\"0.07\", expect_size=\"36942848\"] \n  26 -> 27 [size =\"36942848\"]\n  27 [size=\"100400640\", alpha=\"0.08\", expect_size=\"40160256\"] \n  27 -> 28 [size =\"40160256\"]\n  28 [size=\"99348480\", alpha=\"0.09\", expect_size=\"39739392\"] \n  28 -> 29 [size =\"39739392\"]\n  29 [size=\"64709120\", alpha=\"0.05\", expect_size=\"25883648\"] \n  29 -> 30 [size =\"25883648\"]\n  30 [size=\"36907520\", alpha=\"0.12\", expect_size=\"14763008\"] \n  30 -> 31 [size =\"14763008\"]\n  31 [size=\"122741760\", alpha=\"0.05\", expect_size=\"49096704\"] \n  31 -> 32 [size =\"49096704\"]\n  32 [size=\"108339200\", alpha=\"0.15\", expect_size=\"43335680\"] \n  32 -> 33 [size =\"43335680\"]\n  33 [size=\"65986560\", alpha=\"0.05\", expect_size=\"26394624\"] \n  33 -> 34 [size =\"26394624\"]\n  34 [size=\"119769600\", alpha=\"0.03\", expect_size=\"47907840\"] \n  34 -> 35 [size =\"47907840\"]\n  35 [size=\"24069120\", alpha=\"0.17\", expect_size=\"9627648\"] \n  35 -> 36 [size =\"9627648\"]\n  36 [size=\"126853120\", alpha=\"0.12\", expect_size=\"50741248\"] \n  36 -> 37 [size =\"50741248\"]\n  37 [size=\"52674560\", alpha=\"0.08\", expect_size=\"21069824\"] \n  37 -> 38 [size =\"21069824\"]\n  38 [size=\"99351040\", alpha=\"0.04\", expect_size=\"39740416\"] \n  38 -> 39 [size =\"39740416\"]\n  39 [size=\"34967040\", alpha=\"0.09\", expect_size=\"13986816\"] \n  39 -> 40 [size =\"13986816\"]\n  40 [size=\"63710720\", alpha=\"0.11\", expect_size=\"25484288\"] \n  40 -> 41 [size =\"25484288\"]\n  41 [size=\"16404480\", alpha=\"0.14\", expect_size=\"6561792\"] \n  41 -> 42 [size =\"6561792\"]\n  42 [size=\"45678080\", alpha=\"0.16\", expect_size=\"18271232\"] \n  42 -> 43 [size =\"18271232\"]\n  43 [size=\"17743360\", alpha=\"0.14\", expect_size=\"7097344\"] \n  43 -> 44 [size =\"7097344\"]\n  44 [size=\"48701440\", alpha=\"0.10\", expect_size=\"19480576\"] \n  44 -> 45 [size =\"19480576\"]\n  45 [size=\"67325440\", alpha=\"0.11\", expect_size=\"26930176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56417280\", alpha=\"0.09\", expect_size=\"22566912\"] \n  1 -> 2 [size =\"22566912\"]\n  2 [size=\"50744320\", alpha=\"0.16\", expect_size=\"20297728\"] \n  2 -> 3 [size =\"20297728\"]\n  3 [size=\"60267520\", alpha=\"0.10\", expect_size=\"24107008\"] \n  3 -> 4 [size =\"24107008\"]\n  4 [size=\"13626880\", alpha=\"0.09\", expect_size=\"5450752\"] \n  4 -> 5 [size =\"5450752\"]\n  5 [size=\"66339840\", alpha=\"0.10\", expect_size=\"26535936\"] \n  5 -> 6 [size =\"26535936\"]\n  6 [size=\"65113600\", alpha=\"0.12\", expect_size=\"26045440\"] \n  6 -> 7 [size =\"26045440\"]\n  7 [size=\"83297280\", alpha=\"0.02\", expect_size=\"33318912\"] \n  7 -> 8 [size =\"33318912\"]\n  8 [size=\"121328640\", alpha=\"0.16\", expect_size=\"48531456\"] \n  8 -> 9 [size =\"48531456\"]\n  9 [size=\"73863680\", alpha=\"0.15\", expect_size=\"29545472\"] \n  9 -> 10 [size =\"29545472\"]\n  10 [size=\"103567360\", alpha=\"0.03\", expect_size=\"41426944\"] \n  10 -> 11 [size =\"41426944\"]\n  11 [size=\"73433600\", alpha=\"0.10\", expect_size=\"29373440\"] \n  11 -> 12 [size =\"29373440\"]\n  12 [size=\"126208000\", alpha=\"0.01\", expect_size=\"50483200\"] \n  12 -> 13 [size =\"50483200\"]\n  13 [size=\"103997440\", alpha=\"0.16\", expect_size=\"41598976\"] \n  13 -> 14 [size =\"41598976\"]\n  14 [size=\"45498880\", alpha=\"0.03\", expect_size=\"18199552\"] \n  14 -> 15 [size =\"18199552\"]\n  15 [size=\"96243200\", alpha=\"0.13\", expect_size=\"38497280\"] \n  15 -> 16 [size =\"38497280\"]\n  16 [size=\"38233600\", alpha=\"0.20\", expect_size=\"15293440\"] \n  16 -> 17 [size =\"15293440\"]\n  17 [size=\"106227200\", alpha=\"0.18\", expect_size=\"42490880\"] \n  17 -> 18 [size =\"42490880\"]\n  18 [size=\"118054400\", alpha=\"0.18\", expect_size=\"47221760\"] \n  18 -> 19 [size =\"47221760\"]\n  19 [size=\"93414400\", alpha=\"0.01\", expect_size=\"37365760\"] \n  19 -> 20 [size =\"37365760\"]\n  20 [size=\"63621120\", alpha=\"0.18\", expect_size=\"25448448\"] \n  20 -> 21 [size =\"25448448\"]\n  21 [size=\"81955840\", alpha=\"0.01\", expect_size=\"32782336\"] \n  21 -> 22 [size =\"32782336\"]\n  22 [size=\"24678400\", alpha=\"0.11\", expect_size=\"9871360\"] \n  22 -> 23 [size =\"9871360\"]\n  23 [size=\"29813760\", alpha=\"0.08\", expect_size=\"11925504\"] \n  23 -> 24 [size =\"11925504\"]\n  24 [size=\"121832960\", alpha=\"0.06\", expect_size=\"48733184\"] \n  24 -> 25 [size =\"48733184\"]\n  25 [size=\"23388160\", alpha=\"0.13\", expect_size=\"9355264\"] \n  25 -> 26 [size =\"9355264\"]\n  26 [size=\"102812160\", alpha=\"0.09\", expect_size=\"41124864\"] \n  26 -> 27 [size =\"41124864\"]\n  27 [size=\"100451840\", alpha=\"0.16\", expect_size=\"40180736\"] \n  27 -> 28 [size =\"40180736\"]\n  28 [size=\"88396800\", alpha=\"0.02\", expect_size=\"35358720\"] \n  28 -> 29 [size =\"35358720\"]\n  29 [size=\"73738240\", alpha=\"0.19\", expect_size=\"29495296\"] \n  29 -> 30 [size =\"29495296\"]\n  30 [size=\"82401280\", alpha=\"0.10\", expect_size=\"32960512\"] \n  30 -> 31 [size =\"32960512\"]\n  31 [size=\"67729920\", alpha=\"0.12\", expect_size=\"27091968\"] \n  31 -> 32 [size =\"27091968\"]\n  32 [size=\"73036800\", alpha=\"0.13\", expect_size=\"29214720\"] \n  32 -> 33 [size =\"29214720\"]\n  33 [size=\"17994240\", alpha=\"0.09\", expect_size=\"7197696\"] \n  33 -> 34 [size =\"7197696\"]\n  34 [size=\"67729920\", alpha=\"0.11\", expect_size=\"27091968\"] \n  34 -> 35 [size =\"27091968\"]\n  35 [size=\"104801280\", alpha=\"0.07\", expect_size=\"41920512\"] \n  35 -> 36 [size =\"41920512\"]\n  36 [size=\"64473600\", alpha=\"0.08\", expect_size=\"25789440\"] \n  36 -> 37 [size =\"25789440\"]\n  37 [size=\"116725760\", alpha=\"0.04\", expect_size=\"46690304\"] \n  37 -> 38 [size =\"46690304\"]\n  38 [size=\"95815680\", alpha=\"0.17\", expect_size=\"38326272\"] \n  38 -> 39 [size =\"38326272\"]\n  39 [size=\"109967360\", alpha=\"0.05\", expect_size=\"43986944\"] \n  39 -> 40 [size =\"43986944\"]\n  40 [size=\"101975040\", alpha=\"0.01\", expect_size=\"40790016\"] \n  40 -> 41 [size =\"40790016\"]\n  41 [size=\"44334080\", alpha=\"0.09\", expect_size=\"17733632\"] \n  41 -> 42 [size =\"17733632\"]\n  42 [size=\"115338240\", alpha=\"0.18\", expect_size=\"46135296\"] \n  42 -> 43 [size =\"46135296\"]\n  43 [size=\"74193920\", alpha=\"0.11\", expect_size=\"29677568\"] \n  43 -> 44 [size =\"29677568\"]\n  44 [size=\"129756160\", alpha=\"0.02\", expect_size=\"51902464\"] \n  44 -> 45 [size =\"51902464\"]\n  45 [size=\"78492160\", alpha=\"0.14\", expect_size=\"31396864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15015936\", alpha=\"0.07\", expect_size=\"7507968\"] \n  1 -> 2 [size =\"7507968\"]\n  2 [size=\"59910144\", alpha=\"0.00\", expect_size=\"29955072\"] \n  2 -> 3 [size =\"29955072\"]\n  3 [size=\"80656384\", alpha=\"0.12\", expect_size=\"40328192\"] \n  3 -> 4 [size =\"40328192\"]\n  4 [size=\"18391040\", alpha=\"0.10\", expect_size=\"9195520\"] \n  4 -> 5 [size =\"9195520\"]\n  5 [size=\"99426304\", alpha=\"0.05\", expect_size=\"49713152\"] \n  5 -> 6 [size =\"49713152\"]\n  6 [size=\"62468096\", alpha=\"0.15\", expect_size=\"31234048\"] \n  6 -> 7 [size =\"31234048\"]\n  7 [size=\"71702528\", alpha=\"0.16\", expect_size=\"35851264\"] \n  7 -> 8 [size =\"35851264\"]\n  8 [size=\"37056512\", alpha=\"0.15\", expect_size=\"18528256\"] \n  8 -> 9 [size =\"18528256\"]\n  9 [size=\"36767744\", alpha=\"0.13\", expect_size=\"18383872\"] \n  9 -> 10 [size =\"18383872\"]\n  10 [size=\"99887104\", alpha=\"0.06\", expect_size=\"49943552\"] \n  10 -> 11 [size =\"49943552\"]\n  11 [size=\"30439424\", alpha=\"0.06\", expect_size=\"15219712\"] \n  11 -> 12 [size =\"15219712\"]\n  12 [size=\"61515776\", alpha=\"0.18\", expect_size=\"30757888\"] \n  12 -> 13 [size =\"30757888\"]\n  13 [size=\"63102976\", alpha=\"0.16\", expect_size=\"31551488\"] \n  13 -> 14 [size =\"31551488\"]\n  14 [size=\"26740736\", alpha=\"0.06\", expect_size=\"13370368\"] \n  14 -> 15 [size =\"13370368\"]\n  15 [size=\"73902080\", alpha=\"0.06\", expect_size=\"36951040\"] \n  15 -> 16 [size =\"36951040\"]\n  16 [size=\"98799616\", alpha=\"0.07\", expect_size=\"49399808\"] \n  16 -> 17 [size =\"49399808\"]\n  17 [size=\"73826304\", alpha=\"0.16\", expect_size=\"36913152\"] \n  17 -> 18 [size =\"36913152\"]\n  18 [size=\"55279616\", alpha=\"0.03\", expect_size=\"27639808\"] \n  18 -> 19 [size =\"27639808\"]\n  19 [size=\"32759808\", alpha=\"0.11\", expect_size=\"16379904\"] \n  19 -> 20 [size =\"16379904\"]\n  20 [size=\"94547968\", alpha=\"0.16\", expect_size=\"47273984\"] \n  20 -> 21 [size =\"47273984\"]\n  21 [size=\"28772352\", alpha=\"0.01\", expect_size=\"14386176\"] \n  21 -> 22 [size =\"14386176\"]\n  22 [size=\"59162624\", alpha=\"0.17\", expect_size=\"29581312\"] \n  22 -> 23 [size =\"29581312\"]\n  23 [size=\"49524736\", alpha=\"0.08\", expect_size=\"24762368\"] \n  23 -> 24 [size =\"24762368\"]\n  24 [size=\"29652992\", alpha=\"0.00\", expect_size=\"14826496\"] \n  24 -> 25 [size =\"14826496\"]\n  25 [size=\"56870912\", alpha=\"0.11\", expect_size=\"28435456\"] \n  25 -> 26 [size =\"28435456\"]\n  26 [size=\"85114880\", alpha=\"0.14\", expect_size=\"42557440\"] \n  26 -> 27 [size =\"42557440\"]\n  27 [size=\"22675456\", alpha=\"0.09\", expect_size=\"11337728\"] \n  27 -> 28 [size =\"11337728\"]\n  28 [size=\"100208640\", alpha=\"0.10\", expect_size=\"50104320\"] \n  28 -> 29 [size =\"50104320\"]\n  29 [size=\"18812928\", alpha=\"0.16\", expect_size=\"9406464\"] \n  29 -> 30 [size =\"9406464\"]\n  30 [size=\"71112704\", alpha=\"0.02\", expect_size=\"35556352\"] \n  30 -> 31 [size =\"35556352\"]\n  31 [size=\"50063360\", alpha=\"0.11\", expect_size=\"25031680\"] \n  31 -> 32 [size =\"25031680\"]\n  32 [size=\"54566912\", alpha=\"0.12\", expect_size=\"27283456\"] \n  32 -> 33 [size =\"27283456\"]\n  33 [size=\"39677952\", alpha=\"0.03\", expect_size=\"19838976\"] \n  33 -> 34 [size =\"19838976\"]\n  34 [size=\"75565056\", alpha=\"0.19\", expect_size=\"37782528\"] \n  34 -> 35 [size =\"37782528\"]\n  35 [size=\"75765760\", alpha=\"0.07\", expect_size=\"37882880\"] \n  35 -> 36 [size =\"37882880\"]\n  36 [size=\"34846720\", alpha=\"0.14\", expect_size=\"17423360\"] \n  36 -> 37 [size =\"17423360\"]\n  37 [size=\"99166208\", alpha=\"0.15\", expect_size=\"49583104\"] \n  37 -> 38 [size =\"49583104\"]\n  38 [size=\"46821376\", alpha=\"0.05\", expect_size=\"23410688\"] \n  38 -> 39 [size =\"23410688\"]\n  39 [size=\"93132800\", alpha=\"0.20\", expect_size=\"46566400\"] \n  39 -> 40 [size =\"46566400\"]\n  40 [size=\"75636736\", alpha=\"0.13\", expect_size=\"37818368\"] \n  40 -> 41 [size =\"37818368\"]\n  41 [size=\"83734528\", alpha=\"0.09\", expect_size=\"41867264\"] \n  41 -> 42 [size =\"41867264\"]\n  42 [size=\"43012096\", alpha=\"0.16\", expect_size=\"21506048\"] \n  42 -> 43 [size =\"21506048\"]\n  43 [size=\"98871296\", alpha=\"0.11\", expect_size=\"49435648\"] \n  43 -> 44 [size =\"49435648\"]\n  44 [size=\"20817920\", alpha=\"0.10\", expect_size=\"10408960\"] \n  44 -> 45 [size =\"10408960\"]\n  45 [size=\"13848576\", alpha=\"0.19\", expect_size=\"6924288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155429547\", alpha=\"0.04\", expect_size=\"46628864\"] \n  1 -> 12 [size =\"46628864\"]\n  2 [size=\"21708800\", alpha=\"0.04\", expect_size=\"6512640\"] \n  3 [size=\"52514133\", alpha=\"0.08\", expect_size=\"15754240\"] \n  3 -> 9 [size =\"15754240\"]\n  3 -> 11 [size =\"15754240\"]\n  3 -> 12 [size =\"15754240\"]\n  4 [size=\"17704960\", alpha=\"0.00\", expect_size=\"5311488\"] \n  5 [size=\"74301440\", alpha=\"0.10\", expect_size=\"22290432\"] \n  5 -> 10 [size =\"22290432\"]\n  6 [size=\"29835947\", alpha=\"0.17\", expect_size=\"8950784\"] \n  7 [size=\"60484267\", alpha=\"0.19\", expect_size=\"18145280\"] \n  8 [size=\"53671253\", alpha=\"0.17\", expect_size=\"16101376\"] \n  8 -> 11 [size =\"16101376\"]\n  9 [size=\"103065600\", alpha=\"0.12\", expect_size=\"30919680\"] \n  9 -> 14 [size =\"30919680\"]\n  9 -> 15 [size =\"30919680\"]\n  10 [size=\"87497387\", alpha=\"0.04\", expect_size=\"26249216\"] \n  11 [size=\"79848107\", alpha=\"0.06\", expect_size=\"23954432\"] \n  11 -> 13 [size =\"23954432\"]\n  12 [size=\"109312000\", alpha=\"0.07\", expect_size=\"32793600\"] \n  12 -> 14 [size =\"32793600\"]\n  13 [size=\"139861333\", alpha=\"0.03\", expect_size=\"41958400\"] \n  13 -> 16 [size =\"41958400\"]\n  13 -> 18 [size =\"41958400\"]\n  13 -> 20 [size =\"41958400\"]\n  13 -> 22 [size =\"41958400\"]\n  14 [size=\"49039360\", alpha=\"0.01\", expect_size=\"14711808\"] \n  14 -> 19 [size =\"14711808\"]\n  14 -> 20 [size =\"14711808\"]\n  14 -> 21 [size =\"14711808\"]\n  14 -> 22 [size =\"14711808\"]\n  15 [size=\"49643520\", alpha=\"0.20\", expect_size=\"14893056\"] \n  15 -> 17 [size =\"14893056\"]\n  15 -> 19 [size =\"14893056\"]\n  16 [size=\"127385600\", alpha=\"0.11\", expect_size=\"38215680\"] \n  16 -> 24 [size =\"38215680\"]\n  16 -> 26 [size =\"38215680\"]\n  17 [size=\"100980053\", alpha=\"0.09\", expect_size=\"30294016\"] \n  17 -> 26 [size =\"30294016\"]\n  17 -> 27 [size =\"30294016\"]\n  18 [size=\"90736640\", alpha=\"0.03\", expect_size=\"27220992\"] \n  18 -> 27 [size =\"27220992\"]\n  18 -> 29 [size =\"27220992\"]\n  18 -> 30 [size =\"27220992\"]\n  19 [size=\"68044800\", alpha=\"0.19\", expect_size=\"20413440\"] \n  19 -> 24 [size =\"20413440\"]\n  19 -> 26 [size =\"20413440\"]\n  19 -> 28 [size =\"20413440\"]\n  19 -> 29 [size =\"20413440\"]\n  19 -> 30 [size =\"20413440\"]\n  20 [size=\"160617813\", alpha=\"0.11\", expect_size=\"48185344\"] \n  20 -> 25 [size =\"48185344\"]\n  20 -> 28 [size =\"48185344\"]\n  20 -> 29 [size =\"48185344\"]\n  20 -> 30 [size =\"48185344\"]\n  21 [size=\"34119680\", alpha=\"0.00\", expect_size=\"10235904\"] \n  22 [size=\"80537600\", alpha=\"0.10\", expect_size=\"24161280\"] \n  22 -> 23 [size =\"24161280\"]\n  22 -> 24 [size =\"24161280\"]\n  22 -> 27 [size =\"24161280\"]\n  22 -> 29 [size =\"24161280\"]\n  23 [size=\"135024640\", alpha=\"0.05\", expect_size=\"40507392\"] \n  23 -> 31 [size =\"40507392\"]\n  23 -> 34 [size =\"40507392\"]\n  23 -> 35 [size =\"40507392\"]\n  23 -> 37 [size =\"40507392\"]\n  24 [size=\"155347627\", alpha=\"0.19\", expect_size=\"46604288\"] \n  24 -> 32 [size =\"46604288\"]\n  24 -> 33 [size =\"46604288\"]\n  25 [size=\"165454507\", alpha=\"0.01\", expect_size=\"49636352\"] \n  25 -> 35 [size =\"49636352\"]\n  25 -> 36 [size =\"49636352\"]\n  26 [size=\"162191360\", alpha=\"0.04\", expect_size=\"48657408\"] \n  26 -> 32 [size =\"48657408\"]\n  27 [size=\"89122133\", alpha=\"0.13\", expect_size=\"26736640\"] \n  27 -> 36 [size =\"26736640\"]\n  27 -> 37 [size =\"26736640\"]\n  28 [size=\"156228267\", alpha=\"0.06\", expect_size=\"46868480\"] \n  28 -> 33 [size =\"46868480\"]\n  28 -> 35 [size =\"46868480\"]\n  29 [size=\"26272427\", alpha=\"0.10\", expect_size=\"7881728\"] \n  29 -> 31 [size =\"7881728\"]\n  29 -> 33 [size =\"7881728\"]\n  30 [size=\"174196053\", alpha=\"0.03\", expect_size=\"52258816\"] \n  30 -> 34 [size =\"52258816\"]\n  30 -> 35 [size =\"52258816\"]\n  30 -> 36 [size =\"52258816\"]\n  30 -> 37 [size =\"52258816\"]\n  31 [size=\"101160960\", alpha=\"0.04\", expect_size=\"30348288\"] \n  31 -> 40 [size =\"30348288\"]\n  31 -> 41 [size =\"30348288\"]\n  31 -> 42 [size =\"30348288\"]\n  32 [size=\"102406827\", alpha=\"0.17\", expect_size=\"30722048\"] \n  32 -> 38 [size =\"30722048\"]\n  32 -> 39 [size =\"30722048\"]\n  32 -> 42 [size =\"30722048\"]\n  33 [size=\"24886613\", alpha=\"0.06\", expect_size=\"7465984\"] \n  33 -> 39 [size =\"7465984\"]\n  33 -> 40 [size =\"7465984\"]\n  34 [size=\"60917760\", alpha=\"0.18\", expect_size=\"18275328\"] \n  34 -> 38 [size =\"18275328\"]\n  34 -> 39 [size =\"18275328\"]\n  34 -> 40 [size =\"18275328\"]\n  35 [size=\"53445973\", alpha=\"0.14\", expect_size=\"16033792\"] \n  35 -> 40 [size =\"16033792\"]\n  35 -> 41 [size =\"16033792\"]\n  35 -> 42 [size =\"16033792\"]\n  36 [size=\"59303253\", alpha=\"0.05\", expect_size=\"17790976\"] \n  36 -> 38 [size =\"17790976\"]\n  36 -> 41 [size =\"17790976\"]\n  36 -> 42 [size =\"17790976\"]\n  37 [size=\"90845867\", alpha=\"0.06\", expect_size=\"27253760\"] \n  37 -> 43 [size =\"27253760\"]\n  38 [size=\"33795413\", alpha=\"0.16\", expect_size=\"10138624\"] \n  39 [size=\"81640107\", alpha=\"0.13\", expect_size=\"24492032\"] \n  39 -> 44 [size =\"24492032\"]\n  39 -> 45 [size =\"24492032\"]\n  40 [size=\"162679467\", alpha=\"0.08\", expect_size=\"48803840\"] \n  40 -> 45 [size =\"48803840\"]\n  41 [size=\"32368640\", alpha=\"0.05\", expect_size=\"9710592\"] \n  41 -> 45 [size =\"9710592\"]\n  42 [size=\"67659093\", alpha=\"0.10\", expect_size=\"20297728\"] \n  43 [size=\"45806933\", alpha=\"0.10\", expect_size=\"13742080\"] \n  44 [size=\"89200640\", alpha=\"0.07\", expect_size=\"26760192\"] \n  45 [size=\"72120320\", alpha=\"0.04\", expect_size=\"21636096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86533120\", alpha=\"0.15\", expect_size=\"34613248\"] \n  1 -> 30 [size =\"34613248\"]\n  1 -> 30 [size =\"34613248\"]\n  1 -> 34 [size =\"34613248\"]\n  2 [size=\"103575040\", alpha=\"0.01\", expect_size=\"41430016\"] \n  2 -> 31 [size =\"41430016\"]\n  2 -> 41 [size =\"41430016\"]\n  2 -> 44 [size =\"41430016\"]\n  3 [size=\"70197760\", alpha=\"0.04\", expect_size=\"28079104\"] \n  3 -> 30 [size =\"28079104\"]\n  3 -> 32 [size =\"28079104\"]\n  3 -> 35 [size =\"28079104\"]\n  3 -> 39 [size =\"28079104\"]\n  3 -> 40 [size =\"28079104\"]\n  4 [size=\"112837120\", alpha=\"0.16\", expect_size=\"45134848\"] \n  4 -> 31 [size =\"45134848\"]\n  4 -> 33 [size =\"45134848\"]\n  4 -> 37 [size =\"45134848\"]\n  4 -> 45 [size =\"45134848\"]\n  5 [size=\"36610560\", alpha=\"0.16\", expect_size=\"14644224\"] \n  5 -> 28 [size =\"14644224\"]\n  5 -> 33 [size =\"14644224\"]\n  5 -> 35 [size =\"14644224\"]\n  5 -> 36 [size =\"14644224\"]\n  5 -> 37 [size =\"14644224\"]\n  5 -> 39 [size =\"14644224\"]\n  5 -> 45 [size =\"14644224\"]\n  6 [size=\"74626560\", alpha=\"0.06\", expect_size=\"29850624\"] \n  6 -> 28 [size =\"29850624\"]\n  6 -> 32 [size =\"29850624\"]\n  6 -> 36 [size =\"29850624\"]\n  7 [size=\"130526720\", alpha=\"0.08\", expect_size=\"52210688\"] \n  7 -> 28 [size =\"52210688\"]\n  7 -> 30 [size =\"52210688\"]\n  7 -> 31 [size =\"52210688\"]\n  7 -> 32 [size =\"52210688\"]\n  7 -> 35 [size =\"52210688\"]\n  7 -> 39 [size =\"52210688\"]\n  7 -> 41 [size =\"52210688\"]\n  7 -> 42 [size =\"52210688\"]\n  8 [size=\"108372480\", alpha=\"0.16\", expect_size=\"43348992\"] \n  8 -> 28 [size =\"43348992\"]\n  8 -> 29 [size =\"43348992\"]\n  8 -> 31 [size =\"43348992\"]\n  8 -> 33 [size =\"43348992\"]\n  9 [size=\"92922880\", alpha=\"0.02\", expect_size=\"37169152\"] \n  9 -> 29 [size =\"37169152\"]\n  9 -> 30 [size =\"37169152\"]\n  9 -> 37 [size =\"37169152\"]\n  9 -> 39 [size =\"37169152\"]\n  9 -> 42 [size =\"37169152\"]\n  9 -> 45 [size =\"37169152\"]\n  10 [size=\"111930880\", alpha=\"0.05\", expect_size=\"44772352\"] \n  10 -> 36 [size =\"44772352\"]\n  10 -> 37 [size =\"44772352\"]\n  10 -> 41 [size =\"44772352\"]\n  11 [size=\"68971520\", alpha=\"0.02\", expect_size=\"27588608\"] \n  11 -> 32 [size =\"27588608\"]\n  11 -> 37 [size =\"27588608\"]\n  11 -> 39 [size =\"27588608\"]\n  11 -> 43 [size =\"27588608\"]\n  12 [size=\"41126400\", alpha=\"0.09\", expect_size=\"16450560\"] \n  12 -> 30 [size =\"16450560\"]\n  12 -> 35 [size =\"16450560\"]\n  12 -> 36 [size =\"16450560\"]\n  12 -> 37 [size =\"16450560\"]\n  13 [size=\"45309440\", alpha=\"0.04\", expect_size=\"18123776\"] \n  13 -> 30 [size =\"18123776\"]\n  13 -> 35 [size =\"18123776\"]\n  13 -> 37 [size =\"18123776\"]\n  13 -> 43 [size =\"18123776\"]\n  14 [size=\"68828160\", alpha=\"0.11\", expect_size=\"27531264\"] \n  14 -> 28 [size =\"27531264\"]\n  14 -> 29 [size =\"27531264\"]\n  14 -> 30 [size =\"27531264\"]\n  14 -> 31 [size =\"27531264\"]\n  14 -> 33 [size =\"27531264\"]\n  14 -> 35 [size =\"27531264\"]\n  14 -> 36 [size =\"27531264\"]\n  14 -> 41 [size =\"27531264\"]\n  14 -> 42 [size =\"27531264\"]\n  15 [size=\"44042240\", alpha=\"0.15\", expect_size=\"17616896\"] \n  15 -> 30 [size =\"17616896\"]\n  15 -> 31 [size =\"17616896\"]\n  15 -> 35 [size =\"17616896\"]\n  15 -> 38 [size =\"17616896\"]\n  15 -> 39 [size =\"17616896\"]\n  15 -> 41 [size =\"17616896\"]\n  15 -> 42 [size =\"17616896\"]\n  16 [size=\"17715200\", alpha=\"0.01\", expect_size=\"7086080\"] \n  16 -> 30 [size =\"7086080\"]\n  16 -> 31 [size =\"7086080\"]\n  16 -> 36 [size =\"7086080\"]\n  16 -> 37 [size =\"7086080\"]\n  16 -> 40 [size =\"7086080\"]\n  16 -> 41 [size =\"7086080\"]\n  17 [size=\"55152640\", alpha=\"0.12\", expect_size=\"22061056\"] \n  17 -> 30 [size =\"22061056\"]\n  17 -> 32 [size =\"22061056\"]\n  17 -> 33 [size =\"22061056\"]\n  17 -> 36 [size =\"22061056\"]\n  17 -> 37 [size =\"22061056\"]\n  17 -> 40 [size =\"22061056\"]\n  17 -> 43 [size =\"22061056\"]\n  18 [size=\"100976640\", alpha=\"0.12\", expect_size=\"40390656\"] \n  18 -> 29 [size =\"40390656\"]\n  18 -> 30 [size =\"40390656\"]\n  18 -> 33 [size =\"40390656\"]\n  18 -> 35 [size =\"40390656\"]\n  18 -> 36 [size =\"40390656\"]\n  18 -> 40 [size =\"40390656\"]\n  18 -> 43 [size =\"40390656\"]\n  19 [size=\"74777600\", alpha=\"0.18\", expect_size=\"29911040\"] \n  19 -> 28 [size =\"29911040\"]\n  19 -> 30 [size =\"29911040\"]\n  19 -> 31 [size =\"29911040\"]\n  19 -> 33 [size =\"29911040\"]\n  19 -> 35 [size =\"29911040\"]\n  19 -> 36 [size =\"29911040\"]\n  19 -> 39 [size =\"29911040\"]\n  19 -> 41 [size =\"29911040\"]\n  19 -> 43 [size =\"29911040\"]\n  20 [size=\"87232000\", alpha=\"0.17\", expect_size=\"34892800\"] \n  20 -> 28 [size =\"34892800\"]\n  20 -> 33 [size =\"34892800\"]\n  20 -> 34 [size =\"34892800\"]\n  20 -> 36 [size =\"34892800\"]\n  20 -> 38 [size =\"34892800\"]\n  20 -> 42 [size =\"34892800\"]\n  20 -> 43 [size =\"34892800\"]\n  21 [size=\"115714560\", alpha=\"0.09\", expect_size=\"46285824\"] \n  21 -> 28 [size =\"46285824\"]\n  21 -> 31 [size =\"46285824\"]\n  21 -> 36 [size =\"46285824\"]\n  22 [size=\"128998400\", alpha=\"0.16\", expect_size=\"51599360\"] \n  22 -> 32 [size =\"51599360\"]\n  22 -> 35 [size =\"51599360\"]\n  22 -> 41 [size =\"51599360\"]\n  22 -> 43 [size =\"51599360\"]\n  23 [size=\"62909440\", alpha=\"0.13\", expect_size=\"25163776\"] \n  23 -> 28 [size =\"25163776\"]\n  23 -> 30 [size =\"25163776\"]\n  23 -> 31 [size =\"25163776\"]\n  23 -> 32 [size =\"25163776\"]\n  23 -> 34 [size =\"25163776\"]\n  23 -> 39 [size =\"25163776\"]\n  23 -> 40 [size =\"25163776\"]\n  23 -> 41 [size =\"25163776\"]\n  23 -> 43 [size =\"25163776\"]\n  23 -> 45 [size =\"25163776\"]\n  24 [size=\"87216640\", alpha=\"0.07\", expect_size=\"34886656\"] \n  24 -> 28 [size =\"34886656\"]\n  24 -> 29 [size =\"34886656\"]\n  24 -> 32 [size =\"34886656\"]\n  24 -> 33 [size =\"34886656\"]\n  24 -> 38 [size =\"34886656\"]\n  24 -> 39 [size =\"34886656\"]\n  24 -> 40 [size =\"34886656\"]\n  24 -> 41 [size =\"34886656\"]\n  24 -> 42 [size =\"34886656\"]\n  24 -> 43 [size =\"34886656\"]\n  24 -> 45 [size =\"34886656\"]\n  25 [size=\"34992640\", alpha=\"0.05\", expect_size=\"13997056\"] \n  25 -> 29 [size =\"13997056\"]\n  25 -> 31 [size =\"13997056\"]\n  25 -> 33 [size =\"13997056\"]\n  25 -> 35 [size =\"13997056\"]\n  25 -> 36 [size =\"13997056\"]\n  25 -> 40 [size =\"13997056\"]\n  25 -> 43 [size =\"13997056\"]\n  26 [size=\"124200960\", alpha=\"0.13\", expect_size=\"49680384\"] \n  26 -> 30 [size =\"49680384\"]\n  26 -> 40 [size =\"49680384\"]\n  26 -> 43 [size =\"49680384\"]\n  26 -> 45 [size =\"49680384\"]\n  27 [size=\"14976000\", alpha=\"0.01\", expect_size=\"5990400\"] \n  27 -> 29 [size =\"5990400\"]\n  27 -> 30 [size =\"5990400\"]\n  27 -> 31 [size =\"5990400\"]\n  27 -> 35 [size =\"5990400\"]\n  27 -> 39 [size =\"5990400\"]\n  27 -> 40 [size =\"5990400\"]\n  27 -> 43 [size =\"5990400\"]\n  27 -> 45 [size =\"5990400\"]\n  28 [size=\"84953600\", alpha=\"0.05\", expect_size=\"33981440\"] \n  29 [size=\"38154240\", alpha=\"0.03\", expect_size=\"15261696\"] \n  30 [size=\"23864320\", alpha=\"0.17\", expect_size=\"9545728\"] \n  31 [size=\"124085760\", alpha=\"0.01\", expect_size=\"49634304\"] \n  32 [size=\"58350080\", alpha=\"0.10\", expect_size=\"23340032\"] \n  33 [size=\"35095040\", alpha=\"0.04\", expect_size=\"14038016\"] \n  34 [size=\"111408640\", alpha=\"0.08\", expect_size=\"44563456\"] \n  35 [size=\"33126400\", alpha=\"0.17\", expect_size=\"13250560\"] \n  36 [size=\"59683840\", alpha=\"0.07\", expect_size=\"23873536\"] \n  37 [size=\"16670720\", alpha=\"0.04\", expect_size=\"6668288\"] \n  38 [size=\"21506560\", alpha=\"0.15\", expect_size=\"8602624\"] \n  39 [size=\"51491840\", alpha=\"0.18\", expect_size=\"20596736\"] \n  40 [size=\"68480000\", alpha=\"0.12\", expect_size=\"27392000\"] \n  41 [size=\"53332480\", alpha=\"0.04\", expect_size=\"21332992\"] \n  42 [size=\"61911040\", alpha=\"0.16\", expect_size=\"24764416\"] \n  43 [size=\"122240000\", alpha=\"0.16\", expect_size=\"48896000\"] \n  44 [size=\"30589440\", alpha=\"0.09\", expect_size=\"12235776\"] \n  45 [size=\"78612480\", alpha=\"0.06\", expect_size=\"31444992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120079360\", alpha=\"0.05\", expect_size=\"48031744\"] \n  1 -> 3 [size =\"48031744\"]\n  1 -> 4 [size =\"48031744\"]\n  2 [size=\"124372480\", alpha=\"0.09\", expect_size=\"49748992\"] \n  2 -> 5 [size =\"49748992\"]\n  3 [size=\"38220800\", alpha=\"0.17\", expect_size=\"15288320\"] \n  3 -> 7 [size =\"15288320\"]\n  3 -> 8 [size =\"15288320\"]\n  4 [size=\"57848320\", alpha=\"0.06\", expect_size=\"23139328\"] \n  4 -> 6 [size =\"23139328\"]\n  5 [size=\"112189440\", alpha=\"0.04\", expect_size=\"44875776\"] \n  6 [size=\"57356800\", alpha=\"0.15\", expect_size=\"22942720\"] \n  6 -> 10 [size =\"22942720\"]\n  6 -> 11 [size =\"22942720\"]\n  7 [size=\"108705280\", alpha=\"0.04\", expect_size=\"43482112\"] \n  7 -> 9 [size =\"43482112\"]\n  8 [size=\"97822720\", alpha=\"0.09\", expect_size=\"39129088\"] \n  8 -> 9 [size =\"39129088\"]\n  9 [size=\"78963200\", alpha=\"0.18\", expect_size=\"31585280\"] \n  9 -> 12 [size =\"31585280\"]\n  9 -> 14 [size =\"31585280\"]\n  10 [size=\"100800000\", alpha=\"0.14\", expect_size=\"40320000\"] \n  10 -> 12 [size =\"40320000\"]\n  10 -> 14 [size =\"40320000\"]\n  11 [size=\"80486400\", alpha=\"0.01\", expect_size=\"32194560\"] \n  11 -> 13 [size =\"32194560\"]\n  12 [size=\"107486720\", alpha=\"0.11\", expect_size=\"42994688\"] \n  12 -> 15 [size =\"42994688\"]\n  12 -> 16 [size =\"42994688\"]\n  13 [size=\"41520640\", alpha=\"0.16\", expect_size=\"16608256\"] \n  14 [size=\"21447680\", alpha=\"0.04\", expect_size=\"8579072\"] \n  15 [size=\"57781760\", alpha=\"0.16\", expect_size=\"23112704\"] \n  15 -> 17 [size =\"23112704\"]\n  15 -> 18 [size =\"23112704\"]\n  16 [size=\"80033280\", alpha=\"0.05\", expect_size=\"32013312\"] \n  17 [size=\"51863040\", alpha=\"0.02\", expect_size=\"20745216\"] \n  17 -> 20 [size =\"20745216\"]\n  18 [size=\"74199040\", alpha=\"0.10\", expect_size=\"29679616\"] \n  18 -> 19 [size =\"29679616\"]\n  19 [size=\"124444160\", alpha=\"0.19\", expect_size=\"49777664\"] \n  19 -> 23 [size =\"49777664\"]\n  20 [size=\"110451200\", alpha=\"0.00\", expect_size=\"44180480\"] \n  20 -> 21 [size =\"44180480\"]\n  20 -> 22 [size =\"44180480\"]\n  21 [size=\"76815360\", alpha=\"0.19\", expect_size=\"30726144\"] \n  21 -> 25 [size =\"30726144\"]\n  21 -> 26 [size =\"30726144\"]\n  22 [size=\"80527360\", alpha=\"0.17\", expect_size=\"32210944\"] \n  22 -> 25 [size =\"32210944\"]\n  23 [size=\"26762240\", alpha=\"0.19\", expect_size=\"10704896\"] \n  23 -> 24 [size =\"10704896\"]\n  23 -> 26 [size =\"10704896\"]\n  24 [size=\"118579200\", alpha=\"0.09\", expect_size=\"47431680\"] \n  24 -> 27 [size =\"47431680\"]\n  24 -> 28 [size =\"47431680\"]\n  25 [size=\"22159360\", alpha=\"0.15\", expect_size=\"8863744\"] \n  25 -> 28 [size =\"8863744\"]\n  26 [size=\"116666880\", alpha=\"0.09\", expect_size=\"46666752\"] \n  27 [size=\"28766720\", alpha=\"0.19\", expect_size=\"11506688\"] \n  27 -> 30 [size =\"11506688\"]\n  28 [size=\"43297280\", alpha=\"0.04\", expect_size=\"17318912\"] \n  28 -> 29 [size =\"17318912\"]\n  28 -> 31 [size =\"17318912\"]\n  29 [size=\"104289280\", alpha=\"0.20\", expect_size=\"41715712\"] \n  29 -> 32 [size =\"41715712\"]\n  30 [size=\"101027840\", alpha=\"0.10\", expect_size=\"40411136\"] \n  31 [size=\"102566400\", alpha=\"0.12\", expect_size=\"41026560\"] \n  31 -> 32 [size =\"41026560\"]\n  31 -> 33 [size =\"41026560\"]\n  32 [size=\"97912320\", alpha=\"0.10\", expect_size=\"39164928\"] \n  33 [size=\"80371200\", alpha=\"0.13\", expect_size=\"32148480\"] \n  33 -> 34 [size =\"32148480\"]\n  33 -> 35 [size =\"32148480\"]\n  34 [size=\"75054080\", alpha=\"0.17\", expect_size=\"30021632\"] \n  34 -> 36 [size =\"30021632\"]\n  34 -> 37 [size =\"30021632\"]\n  35 [size=\"126707200\", alpha=\"0.09\", expect_size=\"50682880\"] \n  36 [size=\"98480640\", alpha=\"0.12\", expect_size=\"39392256\"] \n  36 -> 38 [size =\"39392256\"]\n  36 -> 39 [size =\"39392256\"]\n  37 [size=\"34626560\", alpha=\"0.02\", expect_size=\"13850624\"] \n  37 -> 40 [size =\"13850624\"]\n  38 [size=\"30745600\", alpha=\"0.02\", expect_size=\"12298240\"] \n  38 -> 41 [size =\"12298240\"]\n  38 -> 42 [size =\"12298240\"]\n  39 [size=\"53585920\", alpha=\"0.01\", expect_size=\"21434368\"] \n  39 -> 42 [size =\"21434368\"]\n  39 -> 43 [size =\"21434368\"]\n  40 [size=\"51046400\", alpha=\"0.16\", expect_size=\"20418560\"] \n  40 -> 43 [size =\"20418560\"]\n  41 [size=\"110814720\", alpha=\"0.03\", expect_size=\"44325888\"] \n  41 -> 45 [size =\"44325888\"]\n  42 [size=\"64345600\", alpha=\"0.00\", expect_size=\"25738240\"] \n  42 -> 44 [size =\"25738240\"]\n  42 -> 45 [size =\"25738240\"]\n  43 [size=\"123985920\", alpha=\"0.00\", expect_size=\"49594368\"] \n  43 -> 44 [size =\"49594368\"]\n  44 [size=\"82216960\", alpha=\"0.18\", expect_size=\"32886784\"] \n  45 [size=\"65346560\", alpha=\"0.18\", expect_size=\"26138624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35632640\", alpha=\"0.03\", expect_size=\"14253056\"] \n  1 -> 8 [size =\"14253056\"]\n  1 -> 10 [size =\"14253056\"]\n  2 [size=\"114444800\", alpha=\"0.13\", expect_size=\"45777920\"] \n  2 -> 8 [size =\"45777920\"]\n  2 -> 13 [size =\"45777920\"]\n  3 [size=\"130887680\", alpha=\"0.17\", expect_size=\"52355072\"] \n  4 [size=\"46791680\", alpha=\"0.17\", expect_size=\"18716672\"] \n  4 -> 10 [size =\"18716672\"]\n  4 -> 13 [size =\"18716672\"]\n  5 [size=\"77063680\", alpha=\"0.03\", expect_size=\"30825472\"] \n  6 [size=\"91002880\", alpha=\"0.15\", expect_size=\"36401152\"] \n  6 -> 9 [size =\"36401152\"]\n  6 -> 11 [size =\"36401152\"]\n  7 [size=\"43284480\", alpha=\"0.08\", expect_size=\"17313792\"] \n  7 -> 8 [size =\"17313792\"]\n  7 -> 9 [size =\"17313792\"]\n  7 -> 10 [size =\"17313792\"]\n  7 -> 11 [size =\"17313792\"]\n  7 -> 12 [size =\"17313792\"]\n  8 [size=\"19504640\", alpha=\"0.02\", expect_size=\"7801856\"] \n  8 -> 15 [size =\"7801856\"]\n  9 [size=\"35601920\", alpha=\"0.11\", expect_size=\"14240768\"] \n  9 -> 14 [size =\"14240768\"]\n  9 -> 15 [size =\"14240768\"]\n  10 [size=\"79508480\", alpha=\"0.02\", expect_size=\"31803392\"] \n  10 -> 14 [size =\"31803392\"]\n  11 [size=\"22077440\", alpha=\"0.17\", expect_size=\"8830976\"] \n  11 -> 14 [size =\"8830976\"]\n  11 -> 15 [size =\"8830976\"]\n  11 -> 17 [size =\"8830976\"]\n  12 [size=\"40640000\", alpha=\"0.08\", expect_size=\"16256000\"] \n  12 -> 16 [size =\"16256000\"]\n  13 [size=\"118576640\", alpha=\"0.02\", expect_size=\"47430656\"] \n  14 [size=\"100579840\", alpha=\"0.04\", expect_size=\"40231936\"] \n  15 [size=\"84451840\", alpha=\"0.02\", expect_size=\"33780736\"] \n  15 -> 18 [size =\"33780736\"]\n  15 -> 19 [size =\"33780736\"]\n  15 -> 21 [size =\"33780736\"]\n  15 -> 22 [size =\"33780736\"]\n  16 [size=\"104642560\", alpha=\"0.06\", expect_size=\"41857024\"] \n  16 -> 19 [size =\"41857024\"]\n  17 [size=\"73464320\", alpha=\"0.18\", expect_size=\"29385728\"] \n  17 -> 20 [size =\"29385728\"]\n  18 [size=\"123005440\", alpha=\"0.08\", expect_size=\"49202176\"] \n  19 [size=\"19722240\", alpha=\"0.08\", expect_size=\"7888896\"] \n  19 -> 26 [size =\"7888896\"]\n  20 [size=\"86074880\", alpha=\"0.20\", expect_size=\"34429952\"] \n  20 -> 23 [size =\"34429952\"]\n  20 -> 24 [size =\"34429952\"]\n  20 -> 25 [size =\"34429952\"]\n  20 -> 26 [size =\"34429952\"]\n  21 [size=\"95242240\", alpha=\"0.16\", expect_size=\"38096896\"] \n  21 -> 23 [size =\"38096896\"]\n  22 [size=\"75174400\", alpha=\"0.09\", expect_size=\"30069760\"] \n  22 -> 23 [size =\"30069760\"]\n  22 -> 24 [size =\"30069760\"]\n  22 -> 25 [size =\"30069760\"]\n  22 -> 27 [size =\"30069760\"]\n  23 [size=\"120591360\", alpha=\"0.03\", expect_size=\"48236544\"] \n  23 -> 28 [size =\"48236544\"]\n  24 [size=\"129704960\", alpha=\"0.02\", expect_size=\"51881984\"] \n  24 -> 28 [size =\"51881984\"]\n  24 -> 32 [size =\"51881984\"]\n  25 [size=\"36787200\", alpha=\"0.12\", expect_size=\"14714880\"] \n  25 -> 28 [size =\"14714880\"]\n  26 [size=\"51484160\", alpha=\"0.15\", expect_size=\"20593664\"] \n  26 -> 29 [size =\"20593664\"]\n  26 -> 30 [size =\"20593664\"]\n  26 -> 32 [size =\"20593664\"]\n  27 [size=\"88058880\", alpha=\"0.03\", expect_size=\"35223552\"] \n  27 -> 30 [size =\"35223552\"]\n  27 -> 31 [size =\"35223552\"]\n  28 [size=\"75153920\", alpha=\"0.12\", expect_size=\"30061568\"] \n  28 -> 33 [size =\"30061568\"]\n  28 -> 35 [size =\"30061568\"]\n  28 -> 36 [size =\"30061568\"]\n  29 [size=\"122365440\", alpha=\"0.05\", expect_size=\"48946176\"] \n  29 -> 37 [size =\"48946176\"]\n  29 -> 38 [size =\"48946176\"]\n  30 [size=\"49551360\", alpha=\"0.09\", expect_size=\"19820544\"] \n  30 -> 33 [size =\"19820544\"]\n  30 -> 38 [size =\"19820544\"]\n  31 [size=\"49405440\", alpha=\"0.15\", expect_size=\"19762176\"] \n  31 -> 33 [size =\"19762176\"]\n  31 -> 37 [size =\"19762176\"]\n  31 -> 38 [size =\"19762176\"]\n  32 [size=\"26490880\", alpha=\"0.06\", expect_size=\"10596352\"] \n  32 -> 34 [size =\"10596352\"]\n  32 -> 37 [size =\"10596352\"]\n  33 [size=\"82145280\", alpha=\"0.14\", expect_size=\"32858112\"] \n  33 -> 40 [size =\"32858112\"]\n  33 -> 43 [size =\"32858112\"]\n  34 [size=\"98222080\", alpha=\"0.17\", expect_size=\"39288832\"] \n  34 -> 39 [size =\"39288832\"]\n  34 -> 40 [size =\"39288832\"]\n  34 -> 41 [size =\"39288832\"]\n  34 -> 44 [size =\"39288832\"]\n  35 [size=\"108408320\", alpha=\"0.13\", expect_size=\"43363328\"] \n  35 -> 40 [size =\"43363328\"]\n  36 [size=\"58690560\", alpha=\"0.04\", expect_size=\"23476224\"] \n  36 -> 39 [size =\"23476224\"]\n  36 -> 43 [size =\"23476224\"]\n  37 [size=\"26972160\", alpha=\"0.05\", expect_size=\"10788864\"] \n  37 -> 43 [size =\"10788864\"]\n  38 [size=\"43430400\", alpha=\"0.04\", expect_size=\"17372160\"] \n  38 -> 39 [size =\"17372160\"]\n  38 -> 41 [size =\"17372160\"]\n  38 -> 42 [size =\"17372160\"]\n  39 [size=\"114462720\", alpha=\"0.05\", expect_size=\"45785088\"] \n  39 -> 45 [size =\"45785088\"]\n  40 [size=\"26634240\", alpha=\"0.18\", expect_size=\"10653696\"] \n  40 -> 45 [size =\"10653696\"]\n  41 [size=\"82280960\", alpha=\"0.06\", expect_size=\"32912384\"] \n  41 -> 45 [size =\"32912384\"]\n  42 [size=\"54440960\", alpha=\"0.03\", expect_size=\"21776384\"] \n  43 [size=\"88611840\", alpha=\"0.19\", expect_size=\"35444736\"] \n  44 [size=\"54338560\", alpha=\"0.15\", expect_size=\"21735424\"] \n  45 [size=\"39091200\", alpha=\"0.14\", expect_size=\"15636480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86968320\", alpha=\"0.17\", expect_size=\"43484160\"] \n  1 -> 15 [size =\"43484160\"]\n  1 -> 19 [size =\"43484160\"]\n  1 -> 21 [size =\"43484160\"]\n  1 -> 25 [size =\"43484160\"]\n  2 [size=\"68093952\", alpha=\"0.17\", expect_size=\"34046976\"] \n  2 -> 15 [size =\"34046976\"]\n  2 -> 18 [size =\"34046976\"]\n  2 -> 24 [size =\"34046976\"]\n  2 -> 27 [size =\"34046976\"]\n  3 [size=\"36653056\", alpha=\"0.13\", expect_size=\"18326528\"] \n  3 -> 15 [size =\"18326528\"]\n  3 -> 18 [size =\"18326528\"]\n  3 -> 19 [size =\"18326528\"]\n  3 -> 20 [size =\"18326528\"]\n  3 -> 22 [size =\"18326528\"]\n  3 -> 26 [size =\"18326528\"]\n  3 -> 28 [size =\"18326528\"]\n  4 [size=\"73347072\", alpha=\"0.19\", expect_size=\"36673536\"] \n  4 -> 15 [size =\"36673536\"]\n  4 -> 18 [size =\"36673536\"]\n  4 -> 19 [size =\"36673536\"]\n  4 -> 28 [size =\"36673536\"]\n  5 [size=\"63750144\", alpha=\"0.04\", expect_size=\"31875072\"] \n  5 -> 18 [size =\"31875072\"]\n  6 [size=\"101990400\", alpha=\"0.13\", expect_size=\"50995200\"] \n  6 -> 17 [size =\"50995200\"]\n  6 -> 18 [size =\"50995200\"]\n  6 -> 20 [size =\"50995200\"]\n  6 -> 21 [size =\"50995200\"]\n  7 [size=\"88915968\", alpha=\"0.03\", expect_size=\"44457984\"] \n  7 -> 17 [size =\"44457984\"]\n  7 -> 19 [size =\"44457984\"]\n  7 -> 20 [size =\"44457984\"]\n  7 -> 22 [size =\"44457984\"]\n  7 -> 23 [size =\"44457984\"]\n  7 -> 26 [size =\"44457984\"]\n  8 [size=\"72779776\", alpha=\"0.03\", expect_size=\"36389888\"] \n  8 -> 17 [size =\"36389888\"]\n  8 -> 19 [size =\"36389888\"]\n  8 -> 20 [size =\"36389888\"]\n  8 -> 25 [size =\"36389888\"]\n  8 -> 26 [size =\"36389888\"]\n  9 [size=\"37388288\", alpha=\"0.06\", expect_size=\"18694144\"] \n  9 -> 20 [size =\"18694144\"]\n  9 -> 21 [size =\"18694144\"]\n  9 -> 28 [size =\"18694144\"]\n  10 [size=\"98725888\", alpha=\"0.11\", expect_size=\"49362944\"] \n  10 -> 16 [size =\"49362944\"]\n  10 -> 18 [size =\"49362944\"]\n  10 -> 20 [size =\"49362944\"]\n  10 -> 25 [size =\"49362944\"]\n  10 -> 28 [size =\"49362944\"]\n  11 [size=\"62697472\", alpha=\"0.18\", expect_size=\"31348736\"] \n  11 -> 18 [size =\"31348736\"]\n  11 -> 19 [size =\"31348736\"]\n  11 -> 24 [size =\"31348736\"]\n  11 -> 25 [size =\"31348736\"]\n  12 [size=\"49645568\", alpha=\"0.10\", expect_size=\"24822784\"] \n  12 -> 17 [size =\"24822784\"]\n  12 -> 20 [size =\"24822784\"]\n  12 -> 24 [size =\"24822784\"]\n  12 -> 25 [size =\"24822784\"]\n  13 [size=\"37171200\", alpha=\"0.10\", expect_size=\"18585600\"] \n  13 -> 18 [size =\"18585600\"]\n  13 -> 20 [size =\"18585600\"]\n  13 -> 25 [size =\"18585600\"]\n  13 -> 26 [size =\"18585600\"]\n  13 -> 27 [size =\"18585600\"]\n  13 -> 28 [size =\"18585600\"]\n  14 [size=\"100474880\", alpha=\"0.13\", expect_size=\"50237440\"] \n  14 -> 18 [size =\"50237440\"]\n  14 -> 20 [size =\"50237440\"]\n  14 -> 22 [size =\"50237440\"]\n  15 [size=\"93751296\", alpha=\"0.11\", expect_size=\"46875648\"] \n  15 -> 29 [size =\"46875648\"]\n  15 -> 30 [size =\"46875648\"]\n  15 -> 35 [size =\"46875648\"]\n  15 -> 36 [size =\"46875648\"]\n  15 -> 37 [size =\"46875648\"]\n  15 -> 38 [size =\"46875648\"]\n  15 -> 41 [size =\"46875648\"]\n  16 [size=\"16875520\", alpha=\"0.01\", expect_size=\"8437760\"] \n  16 -> 30 [size =\"8437760\"]\n  16 -> 30 [size =\"8437760\"]\n  16 -> 35 [size =\"8437760\"]\n  16 -> 36 [size =\"8437760\"]\n  16 -> 38 [size =\"8437760\"]\n  17 [size=\"79808512\", alpha=\"0.10\", expect_size=\"39904256\"] \n  17 -> 32 [size =\"39904256\"]\n  17 -> 34 [size =\"39904256\"]\n  17 -> 35 [size =\"39904256\"]\n  17 -> 36 [size =\"39904256\"]\n  17 -> 39 [size =\"39904256\"]\n  17 -> 41 [size =\"39904256\"]\n  18 [size=\"92928000\", alpha=\"0.13\", expect_size=\"46464000\"] \n  18 -> 29 [size =\"46464000\"]\n  18 -> 35 [size =\"46464000\"]\n  18 -> 35 [size =\"46464000\"]\n  18 -> 36 [size =\"46464000\"]\n  18 -> 39 [size =\"46464000\"]\n  19 [size=\"14618624\", alpha=\"0.15\", expect_size=\"7309312\"] \n  19 -> 30 [size =\"7309312\"]\n  19 -> 32 [size =\"7309312\"]\n  19 -> 34 [size =\"7309312\"]\n  19 -> 36 [size =\"7309312\"]\n  19 -> 39 [size =\"7309312\"]\n  19 -> 41 [size =\"7309312\"]\n  20 [size=\"44267520\", alpha=\"0.07\", expect_size=\"22133760\"] \n  20 -> 30 [size =\"22133760\"]\n  20 -> 32 [size =\"22133760\"]\n  20 -> 37 [size =\"22133760\"]\n  20 -> 39 [size =\"22133760\"]\n  20 -> 39 [size =\"22133760\"]\n  20 -> 41 [size =\"22133760\"]\n  21 [size=\"97226752\", alpha=\"0.15\", expect_size=\"48613376\"] \n  21 -> 30 [size =\"48613376\"]\n  21 -> 37 [size =\"48613376\"]\n  22 [size=\"86018048\", alpha=\"0.16\", expect_size=\"43009024\"] \n  22 -> 29 [size =\"43009024\"]\n  22 -> 34 [size =\"43009024\"]\n  22 -> 35 [size =\"43009024\"]\n  22 -> 39 [size =\"43009024\"]\n  22 -> 41 [size =\"43009024\"]\n  23 [size=\"40017920\", alpha=\"0.02\", expect_size=\"20008960\"] \n  23 -> 29 [size =\"20008960\"]\n  23 -> 31 [size =\"20008960\"]\n  23 -> 32 [size =\"20008960\"]\n  23 -> 34 [size =\"20008960\"]\n  23 -> 35 [size =\"20008960\"]\n  23 -> 37 [size =\"20008960\"]\n  23 -> 38 [size =\"20008960\"]\n  23 -> 39 [size =\"20008960\"]\n  23 -> 41 [size =\"20008960\"]\n  24 [size=\"87412736\", alpha=\"0.01\", expect_size=\"43706368\"] \n  24 -> 29 [size =\"43706368\"]\n  24 -> 30 [size =\"43706368\"]\n  24 -> 31 [size =\"43706368\"]\n  24 -> 32 [size =\"43706368\"]\n  24 -> 36 [size =\"43706368\"]\n  24 -> 37 [size =\"43706368\"]\n  24 -> 39 [size =\"43706368\"]\n  25 [size=\"54947840\", alpha=\"0.12\", expect_size=\"27473920\"] \n  25 -> 29 [size =\"27473920\"]\n  25 -> 32 [size =\"27473920\"]\n  25 -> 34 [size =\"27473920\"]\n  25 -> 36 [size =\"27473920\"]\n  25 -> 39 [size =\"27473920\"]\n  25 -> 41 [size =\"27473920\"]\n  26 [size=\"11874304\", alpha=\"0.02\", expect_size=\"5937152\"] \n  26 -> 29 [size =\"5937152\"]\n  26 -> 30 [size =\"5937152\"]\n  26 -> 32 [size =\"5937152\"]\n  26 -> 36 [size =\"5937152\"]\n  26 -> 38 [size =\"5937152\"]\n  26 -> 41 [size =\"5937152\"]\n  27 [size=\"18020352\", alpha=\"0.08\", expect_size=\"9010176\"] \n  27 -> 29 [size =\"9010176\"]\n  27 -> 32 [size =\"9010176\"]\n  27 -> 32 [size =\"9010176\"]\n  27 -> 33 [size =\"9010176\"]\n  27 -> 35 [size =\"9010176\"]\n  27 -> 36 [size =\"9010176\"]\n  27 -> 39 [size =\"9010176\"]\n  27 -> 40 [size =\"9010176\"]\n  27 -> 41 [size =\"9010176\"]\n  28 [size=\"64669696\", alpha=\"0.08\", expect_size=\"32334848\"] \n  28 -> 29 [size =\"32334848\"]\n  28 -> 30 [size =\"32334848\"]\n  28 -> 34 [size =\"32334848\"]\n  28 -> 36 [size =\"32334848\"]\n  28 -> 38 [size =\"32334848\"]\n  28 -> 41 [size =\"32334848\"]\n  29 [size=\"33335296\", alpha=\"0.14\", expect_size=\"16667648\"] \n  29 -> 44 [size =\"16667648\"]\n  30 [size=\"102905856\", alpha=\"0.18\", expect_size=\"51452928\"] \n  31 [size=\"40685568\", alpha=\"0.13\", expect_size=\"20342784\"] \n  31 -> 44 [size =\"20342784\"]\n  32 [size=\"17532928\", alpha=\"0.17\", expect_size=\"8766464\"] \n  33 [size=\"91052032\", alpha=\"0.06\", expect_size=\"45526016\"] \n  34 [size=\"98672640\", alpha=\"0.15\", expect_size=\"49336320\"] \n  35 [size=\"103254016\", alpha=\"0.01\", expect_size=\"51627008\"] \n  35 -> 45 [size =\"51627008\"]\n  36 [size=\"63688704\", alpha=\"0.08\", expect_size=\"31844352\"] \n  36 -> 44 [size =\"31844352\"]\n  36 -> 45 [size =\"31844352\"]\n  37 [size=\"71483392\", alpha=\"0.10\", expect_size=\"35741696\"] \n  37 -> 44 [size =\"35741696\"]\n  38 [size=\"16322560\", alpha=\"0.10\", expect_size=\"8161280\"] \n  38 -> 43 [size =\"8161280\"]\n  38 -> 44 [size =\"8161280\"]\n  39 [size=\"54876160\", alpha=\"0.10\", expect_size=\"27438080\"] \n  39 -> 42 [size =\"27438080\"]\n  40 [size=\"25303040\", alpha=\"0.17\", expect_size=\"12651520\"] \n  40 -> 42 [size =\"12651520\"]\n  40 -> 44 [size =\"12651520\"]\n  41 [size=\"15843328\", alpha=\"0.03\", expect_size=\"7921664\"] \n  41 -> 44 [size =\"7921664\"]\n  41 -> 44 [size =\"7921664\"]\n  41 -> 45 [size =\"7921664\"]\n  42 [size=\"78710784\", alpha=\"0.05\", expect_size=\"39355392\"] \n  43 [size=\"64321536\", alpha=\"0.14\", expect_size=\"32160768\"] \n  44 [size=\"93732864\", alpha=\"0.18\", expect_size=\"46866432\"] \n  45 [size=\"68196352\", alpha=\"0.12\", expect_size=\"34098176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103592960\", alpha=\"0.13\", expect_size=\"41437184\"] \n  1 -> 18 [size =\"41437184\"]\n  1 -> 20 [size =\"41437184\"]\n  1 -> 26 [size =\"41437184\"]\n  2 [size=\"71541760\", alpha=\"0.06\", expect_size=\"28616704\"] \n  2 -> 18 [size =\"28616704\"]\n  2 -> 19 [size =\"28616704\"]\n  2 -> 20 [size =\"28616704\"]\n  2 -> 23 [size =\"28616704\"]\n  2 -> 26 [size =\"28616704\"]\n  2 -> 29 [size =\"28616704\"]\n  3 [size=\"39592960\", alpha=\"0.10\", expect_size=\"15837184\"] \n  3 -> 18 [size =\"15837184\"]\n  3 -> 20 [size =\"15837184\"]\n  3 -> 20 [size =\"15837184\"]\n  3 -> 21 [size =\"15837184\"]\n  3 -> 22 [size =\"15837184\"]\n  3 -> 24 [size =\"15837184\"]\n  3 -> 25 [size =\"15837184\"]\n  3 -> 27 [size =\"15837184\"]\n  4 [size=\"108618240\", alpha=\"0.09\", expect_size=\"43447296\"] \n  4 -> 18 [size =\"43447296\"]\n  4 -> 27 [size =\"43447296\"]\n  4 -> 31 [size =\"43447296\"]\n  4 -> 32 [size =\"43447296\"]\n  5 [size=\"120074240\", alpha=\"0.02\", expect_size=\"48029696\"] \n  5 -> 20 [size =\"48029696\"]\n  5 -> 22 [size =\"48029696\"]\n  5 -> 24 [size =\"48029696\"]\n  5 -> 27 [size =\"48029696\"]\n  5 -> 31 [size =\"48029696\"]\n  6 [size=\"14999040\", alpha=\"0.16\", expect_size=\"5999616\"] \n  6 -> 19 [size =\"5999616\"]\n  6 -> 20 [size =\"5999616\"]\n  6 -> 25 [size =\"5999616\"]\n  6 -> 26 [size =\"5999616\"]\n  6 -> 27 [size =\"5999616\"]\n  6 -> 28 [size =\"5999616\"]\n  6 -> 29 [size =\"5999616\"]\n  6 -> 31 [size =\"5999616\"]\n  7 [size=\"58496000\", alpha=\"0.13\", expect_size=\"23398400\"] \n  7 -> 23 [size =\"23398400\"]\n  7 -> 26 [size =\"23398400\"]\n  7 -> 27 [size =\"23398400\"]\n  7 -> 28 [size =\"23398400\"]\n  7 -> 31 [size =\"23398400\"]\n  8 [size=\"85365760\", alpha=\"0.08\", expect_size=\"34146304\"] \n  8 -> 19 [size =\"34146304\"]\n  8 -> 23 [size =\"34146304\"]\n  8 -> 24 [size =\"34146304\"]\n  8 -> 26 [size =\"34146304\"]\n  8 -> 27 [size =\"34146304\"]\n  8 -> 31 [size =\"34146304\"]\n  8 -> 32 [size =\"34146304\"]\n  9 [size=\"119129600\", alpha=\"0.08\", expect_size=\"47651840\"] \n  9 -> 19 [size =\"47651840\"]\n  9 -> 20 [size =\"47651840\"]\n  9 -> 24 [size =\"47651840\"]\n  9 -> 28 [size =\"47651840\"]\n  9 -> 30 [size =\"47651840\"]\n  9 -> 31 [size =\"47651840\"]\n  9 -> 32 [size =\"47651840\"]\n  9 -> 33 [size =\"47651840\"]\n  10 [size=\"69283840\", alpha=\"0.03\", expect_size=\"27713536\"] \n  10 -> 18 [size =\"27713536\"]\n  10 -> 20 [size =\"27713536\"]\n  10 -> 22 [size =\"27713536\"]\n  10 -> 27 [size =\"27713536\"]\n  10 -> 29 [size =\"27713536\"]\n  10 -> 31 [size =\"27713536\"]\n  11 [size=\"15229440\", alpha=\"0.18\", expect_size=\"6091776\"] \n  11 -> 19 [size =\"6091776\"]\n  11 -> 20 [size =\"6091776\"]\n  11 -> 28 [size =\"6091776\"]\n  11 -> 31 [size =\"6091776\"]\n  11 -> 32 [size =\"6091776\"]\n  12 [size=\"90826240\", alpha=\"0.12\", expect_size=\"36330496\"] \n  12 -> 19 [size =\"36330496\"]\n  12 -> 20 [size =\"36330496\"]\n  12 -> 22 [size =\"36330496\"]\n  12 -> 25 [size =\"36330496\"]\n  12 -> 28 [size =\"36330496\"]\n  12 -> 31 [size =\"36330496\"]\n  12 -> 32 [size =\"36330496\"]\n  13 [size=\"128302080\", alpha=\"0.00\", expect_size=\"51320832\"] \n  13 -> 19 [size =\"51320832\"]\n  13 -> 20 [size =\"51320832\"]\n  13 -> 22 [size =\"51320832\"]\n  13 -> 23 [size =\"51320832\"]\n  13 -> 24 [size =\"51320832\"]\n  13 -> 28 [size =\"51320832\"]\n  14 [size=\"67760640\", alpha=\"0.05\", expect_size=\"27104256\"] \n  14 -> 19 [size =\"27104256\"]\n  14 -> 20 [size =\"27104256\"]\n  14 -> 27 [size =\"27104256\"]\n  14 -> 29 [size =\"27104256\"]\n  15 [size=\"120747520\", alpha=\"0.12\", expect_size=\"48299008\"] \n  15 -> 25 [size =\"48299008\"]\n  15 -> 29 [size =\"48299008\"]\n  15 -> 31 [size =\"48299008\"]\n  16 [size=\"13570560\", alpha=\"0.01\", expect_size=\"5428224\"] \n  16 -> 18 [size =\"5428224\"]\n  16 -> 27 [size =\"5428224\"]\n  16 -> 28 [size =\"5428224\"]\n  16 -> 29 [size =\"5428224\"]\n  17 [size=\"110589440\", alpha=\"0.17\", expect_size=\"44235776\"] \n  17 -> 24 [size =\"44235776\"]\n  17 -> 25 [size =\"44235776\"]\n  17 -> 26 [size =\"44235776\"]\n  18 [size=\"71887360\", alpha=\"0.15\", expect_size=\"28754944\"] \n  18 -> 34 [size =\"28754944\"]\n  18 -> 36 [size =\"28754944\"]\n  18 -> 40 [size =\"28754944\"]\n  18 -> 43 [size =\"28754944\"]\n  18 -> 44 [size =\"28754944\"]\n  19 [size=\"116922880\", alpha=\"0.11\", expect_size=\"46769152\"] \n  19 -> 34 [size =\"46769152\"]\n  19 -> 38 [size =\"46769152\"]\n  19 -> 40 [size =\"46769152\"]\n  19 -> 42 [size =\"46769152\"]\n  19 -> 43 [size =\"46769152\"]\n  19 -> 44 [size =\"46769152\"]\n  19 -> 45 [size =\"46769152\"]\n  20 [size=\"48632320\", alpha=\"0.06\", expect_size=\"19452928\"] \n  20 -> 35 [size =\"19452928\"]\n  20 -> 37 [size =\"19452928\"]\n  20 -> 39 [size =\"19452928\"]\n  20 -> 40 [size =\"19452928\"]\n  20 -> 41 [size =\"19452928\"]\n  20 -> 42 [size =\"19452928\"]\n  20 -> 44 [size =\"19452928\"]\n  20 -> 45 [size =\"19452928\"]\n  21 [size=\"68126720\", alpha=\"0.15\", expect_size=\"27250688\"] \n  21 -> 37 [size =\"27250688\"]\n  21 -> 38 [size =\"27250688\"]\n  21 -> 40 [size =\"27250688\"]\n  21 -> 41 [size =\"27250688\"]\n  21 -> 43 [size =\"27250688\"]\n  21 -> 44 [size =\"27250688\"]\n  21 -> 44 [size =\"27250688\"]\n  21 -> 45 [size =\"27250688\"]\n  22 [size=\"57408000\", alpha=\"0.15\", expect_size=\"22963200\"] \n  22 -> 37 [size =\"22963200\"]\n  22 -> 43 [size =\"22963200\"]\n  23 [size=\"127567360\", alpha=\"0.19\", expect_size=\"51026944\"] \n  23 -> 36 [size =\"51026944\"]\n  23 -> 37 [size =\"51026944\"]\n  23 -> 39 [size =\"51026944\"]\n  23 -> 41 [size =\"51026944\"]\n  24 [size=\"128870400\", alpha=\"0.19\", expect_size=\"51548160\"] \n  24 -> 34 [size =\"51548160\"]\n  24 -> 36 [size =\"51548160\"]\n  24 -> 40 [size =\"51548160\"]\n  24 -> 41 [size =\"51548160\"]\n  24 -> 43 [size =\"51548160\"]\n  25 [size=\"40235520\", alpha=\"0.17\", expect_size=\"16094208\"] \n  25 -> 34 [size =\"16094208\"]\n  25 -> 37 [size =\"16094208\"]\n  25 -> 42 [size =\"16094208\"]\n  25 -> 43 [size =\"16094208\"]\n  26 [size=\"108398080\", alpha=\"0.16\", expect_size=\"43359232\"] \n  26 -> 36 [size =\"43359232\"]\n  26 -> 38 [size =\"43359232\"]\n  26 -> 42 [size =\"43359232\"]\n  26 -> 44 [size =\"43359232\"]\n  27 [size=\"113105920\", alpha=\"0.02\", expect_size=\"45242368\"] \n  27 -> 34 [size =\"45242368\"]\n  27 -> 38 [size =\"45242368\"]\n  27 -> 44 [size =\"45242368\"]\n  28 [size=\"94586880\", alpha=\"0.00\", expect_size=\"37834752\"] \n  28 -> 34 [size =\"37834752\"]\n  28 -> 35 [size =\"37834752\"]\n  28 -> 36 [size =\"37834752\"]\n  28 -> 37 [size =\"37834752\"]\n  28 -> 38 [size =\"37834752\"]\n  28 -> 41 [size =\"37834752\"]\n  28 -> 44 [size =\"37834752\"]\n  29 [size=\"63895040\", alpha=\"0.17\", expect_size=\"25558016\"] \n  29 -> 35 [size =\"25558016\"]\n  29 -> 36 [size =\"25558016\"]\n  29 -> 36 [size =\"25558016\"]\n  29 -> 41 [size =\"25558016\"]\n  29 -> 42 [size =\"25558016\"]\n  30 [size=\"130723840\", alpha=\"0.03\", expect_size=\"52289536\"] \n  30 -> 35 [size =\"52289536\"]\n  30 -> 41 [size =\"52289536\"]\n  30 -> 42 [size =\"52289536\"]\n  31 [size=\"45452800\", alpha=\"0.09\", expect_size=\"18181120\"] \n  31 -> 36 [size =\"18181120\"]\n  31 -> 41 [size =\"18181120\"]\n  31 -> 44 [size =\"18181120\"]\n  32 [size=\"16537600\", alpha=\"0.09\", expect_size=\"6615040\"] \n  32 -> 36 [size =\"6615040\"]\n  32 -> 41 [size =\"6615040\"]\n  32 -> 42 [size =\"6615040\"]\n  32 -> 43 [size =\"6615040\"]\n  32 -> 44 [size =\"6615040\"]\n  32 -> 45 [size =\"6615040\"]\n  33 [size=\"102407680\", alpha=\"0.08\", expect_size=\"40963072\"] \n  33 -> 36 [size =\"40963072\"]\n  33 -> 37 [size =\"40963072\"]\n  33 -> 40 [size =\"40963072\"]\n  33 -> 41 [size =\"40963072\"]\n  33 -> 45 [size =\"40963072\"]\n  34 [size=\"93624320\", alpha=\"0.16\", expect_size=\"37449728\"] \n  35 [size=\"85703680\", alpha=\"0.03\", expect_size=\"34281472\"] \n  36 [size=\"67642880\", alpha=\"0.10\", expect_size=\"27057152\"] \n  37 [size=\"41341440\", alpha=\"0.13\", expect_size=\"16536576\"] \n  38 [size=\"52185600\", alpha=\"0.06\", expect_size=\"20874240\"] \n  39 [size=\"54471680\", alpha=\"0.17\", expect_size=\"21788672\"] \n  40 [size=\"36254720\", alpha=\"0.14\", expect_size=\"14501888\"] \n  41 [size=\"53716480\", alpha=\"0.00\", expect_size=\"21486592\"] \n  42 [size=\"108979200\", alpha=\"0.14\", expect_size=\"43591680\"] \n  43 [size=\"43829760\", alpha=\"0.07\", expect_size=\"17531904\"] \n  44 [size=\"91435520\", alpha=\"0.19\", expect_size=\"36574208\"] \n  45 [size=\"70517760\", alpha=\"0.17\", expect_size=\"28207104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49392640\", alpha=\"0.08\", expect_size=\"19757056\"] \n  1 -> 2 [size =\"19757056\"]\n  2 [size=\"97592320\", alpha=\"0.14\", expect_size=\"39036928\"] \n  2 -> 3 [size =\"39036928\"]\n  3 [size=\"116200960\", alpha=\"0.08\", expect_size=\"46480384\"] \n  3 -> 4 [size =\"46480384\"]\n  4 [size=\"76295680\", alpha=\"0.01\", expect_size=\"30518272\"] \n  4 -> 5 [size =\"30518272\"]\n  5 [size=\"27005440\", alpha=\"0.20\", expect_size=\"10802176\"] \n  5 -> 6 [size =\"10802176\"]\n  6 [size=\"48742400\", alpha=\"0.06\", expect_size=\"19496960\"] \n  6 -> 7 [size =\"19496960\"]\n  7 [size=\"112785920\", alpha=\"0.08\", expect_size=\"45114368\"] \n  7 -> 8 [size =\"45114368\"]\n  8 [size=\"20682240\", alpha=\"0.01\", expect_size=\"8272896\"] \n  8 -> 9 [size =\"8272896\"]\n  9 [size=\"128870400\", alpha=\"0.15\", expect_size=\"51548160\"] \n  9 -> 10 [size =\"51548160\"]\n  10 [size=\"35704320\", alpha=\"0.18\", expect_size=\"14281728\"] \n  10 -> 11 [size =\"14281728\"]\n  11 [size=\"91865600\", alpha=\"0.08\", expect_size=\"36746240\"] \n  11 -> 12 [size =\"36746240\"]\n  12 [size=\"20974080\", alpha=\"0.19\", expect_size=\"8389632\"] \n  12 -> 13 [size =\"8389632\"]\n  13 [size=\"101975040\", alpha=\"0.15\", expect_size=\"40790016\"] \n  13 -> 14 [size =\"40790016\"]\n  14 [size=\"33116160\", alpha=\"0.03\", expect_size=\"13246464\"] \n  14 -> 15 [size =\"13246464\"]\n  15 [size=\"36206080\", alpha=\"0.13\", expect_size=\"14482432\"] \n  15 -> 16 [size =\"14482432\"]\n  16 [size=\"34483200\", alpha=\"0.12\", expect_size=\"13793280\"] \n  16 -> 17 [size =\"13793280\"]\n  17 [size=\"70873600\", alpha=\"0.19\", expect_size=\"28349440\"] \n  17 -> 18 [size =\"28349440\"]\n  18 [size=\"116474880\", alpha=\"0.19\", expect_size=\"46589952\"] \n  18 -> 19 [size =\"46589952\"]\n  19 [size=\"121676800\", alpha=\"0.16\", expect_size=\"48670720\"] \n  19 -> 20 [size =\"48670720\"]\n  20 [size=\"90240000\", alpha=\"0.17\", expect_size=\"36096000\"] \n  20 -> 21 [size =\"36096000\"]\n  21 [size=\"77245440\", alpha=\"0.03\", expect_size=\"30898176\"] \n  21 -> 22 [size =\"30898176\"]\n  22 [size=\"122808320\", alpha=\"0.04\", expect_size=\"49123328\"] \n  22 -> 23 [size =\"49123328\"]\n  23 [size=\"116313600\", alpha=\"0.03\", expect_size=\"46525440\"] \n  23 -> 24 [size =\"46525440\"]\n  24 [size=\"88883200\", alpha=\"0.12\", expect_size=\"35553280\"] \n  24 -> 25 [size =\"35553280\"]\n  25 [size=\"109457920\", alpha=\"0.04\", expect_size=\"43783168\"] \n  25 -> 26 [size =\"43783168\"]\n  26 [size=\"65336320\", alpha=\"0.02\", expect_size=\"26134528\"] \n  26 -> 27 [size =\"26134528\"]\n  27 [size=\"18624000\", alpha=\"0.16\", expect_size=\"7449600\"] \n  27 -> 28 [size =\"7449600\"]\n  28 [size=\"13550080\", alpha=\"0.12\", expect_size=\"5420032\"] \n  28 -> 29 [size =\"5420032\"]\n  29 [size=\"124695040\", alpha=\"0.08\", expect_size=\"49878016\"] \n  29 -> 30 [size =\"49878016\"]\n  30 [size=\"100738560\", alpha=\"0.07\", expect_size=\"40295424\"] \n  30 -> 31 [size =\"40295424\"]\n  31 [size=\"80542720\", alpha=\"0.20\", expect_size=\"32217088\"] \n  31 -> 32 [size =\"32217088\"]\n  32 [size=\"100400640\", alpha=\"0.14\", expect_size=\"40160256\"] \n  32 -> 33 [size =\"40160256\"]\n  33 [size=\"126827520\", alpha=\"0.03\", expect_size=\"50731008\"] \n  33 -> 34 [size =\"50731008\"]\n  34 [size=\"26992640\", alpha=\"0.15\", expect_size=\"10797056\"] \n  34 -> 35 [size =\"10797056\"]\n  35 [size=\"100014080\", alpha=\"0.12\", expect_size=\"40005632\"] \n  35 -> 36 [size =\"40005632\"]\n  36 [size=\"123865600\", alpha=\"0.12\", expect_size=\"49546240\"] \n  36 -> 37 [size =\"49546240\"]\n  37 [size=\"16217600\", alpha=\"0.02\", expect_size=\"6487040\"] \n  37 -> 38 [size =\"6487040\"]\n  38 [size=\"112678400\", alpha=\"0.09\", expect_size=\"45071360\"] \n  38 -> 39 [size =\"45071360\"]\n  39 [size=\"66933760\", alpha=\"0.15\", expect_size=\"26773504\"] \n  39 -> 40 [size =\"26773504\"]\n  40 [size=\"112709120\", alpha=\"0.14\", expect_size=\"45083648\"] \n  40 -> 41 [size =\"45083648\"]\n  41 [size=\"36677120\", alpha=\"0.03\", expect_size=\"14670848\"] \n  41 -> 42 [size =\"14670848\"]\n  42 [size=\"35560960\", alpha=\"0.12\", expect_size=\"14224384\"] \n  42 -> 43 [size =\"14224384\"]\n  43 [size=\"117227520\", alpha=\"0.18\", expect_size=\"46891008\"] \n  43 -> 44 [size =\"46891008\"]\n  44 [size=\"16655360\", alpha=\"0.16\", expect_size=\"6662144\"] \n  44 -> 45 [size =\"6662144\"]\n  45 [size=\"107745280\", alpha=\"0.11\", expect_size=\"43098112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53067776\", alpha=\"0.12\", expect_size=\"26533888\"] \n  1 -> 7 [size =\"26533888\"]\n  1 -> 10 [size =\"26533888\"]\n  2 [size=\"101898240\", alpha=\"0.02\", expect_size=\"50949120\"] \n  2 -> 7 [size =\"50949120\"]\n  2 -> 8 [size =\"50949120\"]\n  2 -> 9 [size =\"50949120\"]\n  3 [size=\"22984704\", alpha=\"0.04\", expect_size=\"11492352\"] \n  3 -> 7 [size =\"11492352\"]\n  3 -> 11 [size =\"11492352\"]\n  4 [size=\"12511232\", alpha=\"0.00\", expect_size=\"6255616\"] \n  5 [size=\"83773440\", alpha=\"0.10\", expect_size=\"41886720\"] \n  6 [size=\"31447040\", alpha=\"0.02\", expect_size=\"15723520\"] \n  6 -> 10 [size =\"15723520\"]\n  6 -> 12 [size =\"15723520\"]\n  7 [size=\"11370496\", alpha=\"0.05\", expect_size=\"5685248\"] \n  7 -> 15 [size =\"5685248\"]\n  7 -> 16 [size =\"5685248\"]\n  7 -> 17 [size =\"5685248\"]\n  8 [size=\"66220032\", alpha=\"0.03\", expect_size=\"33110016\"] \n  8 -> 13 [size =\"33110016\"]\n  8 -> 14 [size =\"33110016\"]\n  8 -> 16 [size =\"33110016\"]\n  8 -> 17 [size =\"33110016\"]\n  9 [size=\"99964928\", alpha=\"0.20\", expect_size=\"49982464\"] \n  10 [size=\"39208960\", alpha=\"0.03\", expect_size=\"19604480\"] \n  10 -> 14 [size =\"19604480\"]\n  10 -> 17 [size =\"19604480\"]\n  11 [size=\"16404480\", alpha=\"0.10\", expect_size=\"8202240\"] \n  11 -> 14 [size =\"8202240\"]\n  12 [size=\"73904128\", alpha=\"0.00\", expect_size=\"36952064\"] \n  12 -> 15 [size =\"36952064\"]\n  13 [size=\"81346560\", alpha=\"0.07\", expect_size=\"40673280\"] \n  13 -> 22 [size =\"40673280\"]\n  14 [size=\"101947392\", alpha=\"0.08\", expect_size=\"50973696\"] \n  14 -> 18 [size =\"50973696\"]\n  14 -> 19 [size =\"50973696\"]\n  14 -> 20 [size =\"50973696\"]\n  14 -> 21 [size =\"50973696\"]\n  15 [size=\"102461440\", alpha=\"0.03\", expect_size=\"51230720\"] \n  15 -> 20 [size =\"51230720\"]\n  15 -> 21 [size =\"51230720\"]\n  15 -> 22 [size =\"51230720\"]\n  16 [size=\"55304192\", alpha=\"0.13\", expect_size=\"27652096\"] \n  16 -> 20 [size =\"27652096\"]\n  17 [size=\"65734656\", alpha=\"0.01\", expect_size=\"32867328\"] \n  17 -> 21 [size =\"32867328\"]\n  18 [size=\"87345152\", alpha=\"0.02\", expect_size=\"43672576\"] \n  18 -> 23 [size =\"43672576\"]\n  18 -> 26 [size =\"43672576\"]\n  18 -> 27 [size =\"43672576\"]\n  19 [size=\"101341184\", alpha=\"0.10\", expect_size=\"50670592\"] \n  19 -> 23 [size =\"50670592\"]\n  19 -> 24 [size =\"50670592\"]\n  19 -> 25 [size =\"50670592\"]\n  20 [size=\"100335616\", alpha=\"0.16\", expect_size=\"50167808\"] \n  20 -> 23 [size =\"50167808\"]\n  20 -> 26 [size =\"50167808\"]\n  20 -> 27 [size =\"50167808\"]\n  20 -> 28 [size =\"50167808\"]\n  21 [size=\"20692992\", alpha=\"0.11\", expect_size=\"10346496\"] \n  21 -> 28 [size =\"10346496\"]\n  22 [size=\"66869248\", alpha=\"0.05\", expect_size=\"33434624\"] \n  23 [size=\"67411968\", alpha=\"0.02\", expect_size=\"33705984\"] \n  23 -> 29 [size =\"33705984\"]\n  24 [size=\"98308096\", alpha=\"0.20\", expect_size=\"49154048\"] \n  24 -> 30 [size =\"49154048\"]\n  24 -> 31 [size =\"49154048\"]\n  24 -> 33 [size =\"49154048\"]\n  25 [size=\"42958848\", alpha=\"0.12\", expect_size=\"21479424\"] \n  26 [size=\"56655872\", alpha=\"0.10\", expect_size=\"28327936\"] \n  26 -> 30 [size =\"28327936\"]\n  26 -> 33 [size =\"28327936\"]\n  27 [size=\"22476800\", alpha=\"0.07\", expect_size=\"11238400\"] \n  27 -> 29 [size =\"11238400\"]\n  27 -> 30 [size =\"11238400\"]\n  27 -> 32 [size =\"11238400\"]\n  28 [size=\"26626048\", alpha=\"0.17\", expect_size=\"13313024\"] \n  28 -> 29 [size =\"13313024\"]\n  29 [size=\"36397056\", alpha=\"0.05\", expect_size=\"18198528\"] \n  29 -> 35 [size =\"18198528\"]\n  29 -> 38 [size =\"18198528\"]\n  30 [size=\"85071872\", alpha=\"0.19\", expect_size=\"42535936\"] \n  30 -> 36 [size =\"42535936\"]\n  30 -> 37 [size =\"42535936\"]\n  31 [size=\"67069952\", alpha=\"0.15\", expect_size=\"33534976\"] \n  31 -> 34 [size =\"33534976\"]\n  31 -> 35 [size =\"33534976\"]\n  31 -> 36 [size =\"33534976\"]\n  31 -> 38 [size =\"33534976\"]\n  32 [size=\"24977408\", alpha=\"0.04\", expect_size=\"12488704\"] \n  32 -> 34 [size =\"12488704\"]\n  32 -> 36 [size =\"12488704\"]\n  32 -> 39 [size =\"12488704\"]\n  33 [size=\"50202624\", alpha=\"0.08\", expect_size=\"25101312\"] \n  34 [size=\"60878848\", alpha=\"0.12\", expect_size=\"30439424\"] \n  34 -> 43 [size =\"30439424\"]\n  34 -> 44 [size =\"30439424\"]\n  35 [size=\"59031552\", alpha=\"0.14\", expect_size=\"29515776\"] \n  35 -> 44 [size =\"29515776\"]\n  36 [size=\"23576576\", alpha=\"0.07\", expect_size=\"11788288\"] \n  36 -> 40 [size =\"11788288\"]\n  36 -> 43 [size =\"11788288\"]\n  36 -> 44 [size =\"11788288\"]\n  37 [size=\"69851136\", alpha=\"0.11\", expect_size=\"34925568\"] \n  37 -> 41 [size =\"34925568\"]\n  37 -> 42 [size =\"34925568\"]\n  38 [size=\"104368128\", alpha=\"0.12\", expect_size=\"52184064\"] \n  38 -> 41 [size =\"52184064\"]\n  38 -> 42 [size =\"52184064\"]\n  39 [size=\"88487936\", alpha=\"0.11\", expect_size=\"44243968\"] \n  39 -> 40 [size =\"44243968\"]\n  39 -> 42 [size =\"44243968\"]\n  39 -> 43 [size =\"44243968\"]\n  40 [size=\"17321984\", alpha=\"0.10\", expect_size=\"8660992\"] \n  41 [size=\"13963264\", alpha=\"0.11\", expect_size=\"6981632\"] \n  42 [size=\"84330496\", alpha=\"0.04\", expect_size=\"42165248\"] \n  42 -> 45 [size =\"42165248\"]\n  43 [size=\"103102464\", alpha=\"0.09\", expect_size=\"51551232\"] \n  44 [size=\"46766080\", alpha=\"0.12\", expect_size=\"23383040\"] \n  45 [size=\"101156864\", alpha=\"0.03\", expect_size=\"50578432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99471360\", alpha=\"0.18\", expect_size=\"29841408\"] \n  1 -> 2 [size =\"29841408\"]\n  2 [size=\"21992107\", alpha=\"0.19\", expect_size=\"6597632\"] \n  2 -> 3 [size =\"6597632\"]\n  3 [size=\"56282453\", alpha=\"0.06\", expect_size=\"16884736\"] \n  3 -> 4 [size =\"16884736\"]\n  4 [size=\"151927467\", alpha=\"0.04\", expect_size=\"45578240\"] \n  4 -> 5 [size =\"45578240\"]\n  5 [size=\"109909333\", alpha=\"0.07\", expect_size=\"32972800\"] \n  5 -> 6 [size =\"32972800\"]\n  6 [size=\"135348907\", alpha=\"0.05\", expect_size=\"40604672\"] \n  6 -> 7 [size =\"40604672\"]\n  7 [size=\"106707627\", alpha=\"0.09\", expect_size=\"32012288\"] \n  7 -> 8 [size =\"32012288\"]\n  8 [size=\"100096000\", alpha=\"0.02\", expect_size=\"30028800\"] \n  8 -> 9 [size =\"30028800\"]\n  9 [size=\"101031253\", alpha=\"0.09\", expect_size=\"30309376\"] \n  9 -> 10 [size =\"30309376\"]\n  10 [size=\"158078293\", alpha=\"0.20\", expect_size=\"47423488\"] \n  10 -> 11 [size =\"47423488\"]\n  11 [size=\"162539520\", alpha=\"0.01\", expect_size=\"48761856\"] \n  11 -> 12 [size =\"48761856\"]\n  12 [size=\"144803840\", alpha=\"0.03\", expect_size=\"43441152\"] \n  12 -> 13 [size =\"43441152\"]\n  13 [size=\"136867840\", alpha=\"0.09\", expect_size=\"41060352\"] \n  13 -> 14 [size =\"41060352\"]\n  14 [size=\"23330133\", alpha=\"0.03\", expect_size=\"6999040\"] \n  14 -> 15 [size =\"6999040\"]\n  15 [size=\"53968213\", alpha=\"0.09\", expect_size=\"16190464\"] \n  15 -> 16 [size =\"16190464\"]\n  16 [size=\"110834347\", alpha=\"0.13\", expect_size=\"33250304\"] \n  16 -> 17 [size =\"33250304\"]\n  17 [size=\"150657707\", alpha=\"0.01\", expect_size=\"45197312\"] \n  17 -> 18 [size =\"45197312\"]\n  18 [size=\"64727040\", alpha=\"0.13\", expect_size=\"19418112\"] \n  18 -> 19 [size =\"19418112\"]\n  19 [size=\"82571947\", alpha=\"0.13\", expect_size=\"24771584\"] \n  19 -> 20 [size =\"24771584\"]\n  20 [size=\"156938240\", alpha=\"0.12\", expect_size=\"47081472\"] \n  20 -> 21 [size =\"47081472\"]\n  21 [size=\"156658347\", alpha=\"0.02\", expect_size=\"46997504\"] \n  21 -> 22 [size =\"46997504\"]\n  22 [size=\"160993280\", alpha=\"0.12\", expect_size=\"48297984\"] \n  22 -> 23 [size =\"48297984\"]\n  23 [size=\"27245227\", alpha=\"0.07\", expect_size=\"8173568\"] \n  23 -> 24 [size =\"8173568\"]\n  24 [size=\"98293760\", alpha=\"0.19\", expect_size=\"29488128\"] \n  24 -> 25 [size =\"29488128\"]\n  25 [size=\"122535253\", alpha=\"0.03\", expect_size=\"36760576\"] \n  25 -> 26 [size =\"36760576\"]\n  26 [size=\"34553173\", alpha=\"0.02\", expect_size=\"10365952\"] \n  26 -> 27 [size =\"10365952\"]\n  27 [size=\"137181867\", alpha=\"0.12\", expect_size=\"41154560\"] \n  27 -> 28 [size =\"41154560\"]\n  28 [size=\"145592320\", alpha=\"0.13\", expect_size=\"43677696\"] \n  28 -> 29 [size =\"43677696\"]\n  29 [size=\"92153173\", alpha=\"0.04\", expect_size=\"27645952\"] \n  29 -> 30 [size =\"27645952\"]\n  30 [size=\"36382720\", alpha=\"0.13\", expect_size=\"10914816\"] \n  30 -> 31 [size =\"10914816\"]\n  31 [size=\"130955947\", alpha=\"0.01\", expect_size=\"39286784\"] \n  31 -> 32 [size =\"39286784\"]\n  32 [size=\"143305387\", alpha=\"0.05\", expect_size=\"42991616\"] \n  32 -> 33 [size =\"42991616\"]\n  33 [size=\"77943467\", alpha=\"0.04\", expect_size=\"23383040\"] \n  33 -> 34 [size =\"23383040\"]\n  34 [size=\"130969600\", alpha=\"0.04\", expect_size=\"39290880\"] \n  34 -> 35 [size =\"39290880\"]\n  35 [size=\"122255360\", alpha=\"0.08\", expect_size=\"36676608\"] \n  35 -> 36 [size =\"36676608\"]\n  36 [size=\"144247467\", alpha=\"0.05\", expect_size=\"43274240\"] \n  36 -> 37 [size =\"43274240\"]\n  37 [size=\"157521920\", alpha=\"0.18\", expect_size=\"47256576\"] \n  37 -> 38 [size =\"47256576\"]\n  38 [size=\"94033920\", alpha=\"0.17\", expect_size=\"28210176\"] \n  38 -> 39 [size =\"28210176\"]\n  39 [size=\"36403200\", alpha=\"0.05\", expect_size=\"10920960\"] \n  39 -> 40 [size =\"10920960\"]\n  40 [size=\"68184747\", alpha=\"0.10\", expect_size=\"20455424\"] \n  40 -> 41 [size =\"20455424\"]\n  41 [size=\"172694187\", alpha=\"0.13\", expect_size=\"51808256\"] \n  41 -> 42 [size =\"51808256\"]\n  42 [size=\"23145813\", alpha=\"0.14\", expect_size=\"6943744\"] \n  42 -> 43 [size =\"6943744\"]\n  43 [size=\"61436587\", alpha=\"0.17\", expect_size=\"18430976\"] \n  43 -> 44 [size =\"18430976\"]\n  44 [size=\"92388693\", alpha=\"0.09\", expect_size=\"27716608\"] \n  44 -> 45 [size =\"27716608\"]\n  45 [size=\"121859413\", alpha=\"0.15\", expect_size=\"36557824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"155432960\", alpha=\"0.18\", expect_size=\"46629888\"] \n  1 -> 11 [size =\"46629888\"]\n  1 -> 13 [size =\"46629888\"]\n  1 -> 18 [size =\"46629888\"]\n  1 -> 19 [size =\"46629888\"]\n  2 [size=\"53510827\", alpha=\"0.11\", expect_size=\"16053248\"] \n  2 -> 13 [size =\"16053248\"]\n  2 -> 16 [size =\"16053248\"]\n  2 -> 18 [size =\"16053248\"]\n  2 -> 20 [size =\"16053248\"]\n  3 [size=\"79732053\", alpha=\"0.05\", expect_size=\"23919616\"] \n  3 -> 13 [size =\"23919616\"]\n  3 -> 16 [size =\"23919616\"]\n  3 -> 17 [size =\"23919616\"]\n  3 -> 18 [size =\"23919616\"]\n  3 -> 19 [size =\"23919616\"]\n  3 -> 20 [size =\"23919616\"]\n  4 [size=\"76328960\", alpha=\"0.17\", expect_size=\"22898688\"] \n  4 -> 12 [size =\"22898688\"]\n  4 -> 13 [size =\"22898688\"]\n  4 -> 14 [size =\"22898688\"]\n  4 -> 17 [size =\"22898688\"]\n  4 -> 18 [size =\"22898688\"]\n  4 -> 19 [size =\"22898688\"]\n  4 -> 20 [size =\"22898688\"]\n  5 [size=\"31146667\", alpha=\"0.07\", expect_size=\"9344000\"] \n  5 -> 13 [size =\"9344000\"]\n  5 -> 16 [size =\"9344000\"]\n  5 -> 18 [size =\"9344000\"]\n  5 -> 19 [size =\"9344000\"]\n  5 -> 20 [size =\"9344000\"]\n  6 [size=\"129396053\", alpha=\"0.08\", expect_size=\"38818816\"] \n  6 -> 10 [size =\"38818816\"]\n  6 -> 13 [size =\"38818816\"]\n  6 -> 16 [size =\"38818816\"]\n  6 -> 18 [size =\"38818816\"]\n  6 -> 19 [size =\"38818816\"]\n  6 -> 20 [size =\"38818816\"]\n  7 [size=\"118469973\", alpha=\"0.16\", expect_size=\"35540992\"] \n  7 -> 10 [size =\"35540992\"]\n  7 -> 13 [size =\"35540992\"]\n  7 -> 16 [size =\"35540992\"]\n  7 -> 17 [size =\"35540992\"]\n  7 -> 18 [size =\"35540992\"]\n  7 -> 19 [size =\"35540992\"]\n  7 -> 20 [size =\"35540992\"]\n  8 [size=\"149043200\", alpha=\"0.07\", expect_size=\"44712960\"] \n  8 -> 10 [size =\"44712960\"]\n  8 -> 12 [size =\"44712960\"]\n  8 -> 13 [size =\"44712960\"]\n  8 -> 20 [size =\"44712960\"]\n  9 [size=\"102389760\", alpha=\"0.18\", expect_size=\"30716928\"] \n  9 -> 12 [size =\"30716928\"]\n  9 -> 14 [size =\"30716928\"]\n  9 -> 15 [size =\"30716928\"]\n  9 -> 16 [size =\"30716928\"]\n  9 -> 18 [size =\"30716928\"]\n  10 [size=\"127365120\", alpha=\"0.07\", expect_size=\"38209536\"] \n  10 -> 23 [size =\"38209536\"]\n  10 -> 24 [size =\"38209536\"]\n  10 -> 25 [size =\"38209536\"]\n  10 -> 26 [size =\"38209536\"]\n  10 -> 28 [size =\"38209536\"]\n  10 -> 29 [size =\"38209536\"]\n  10 -> 31 [size =\"38209536\"]\n  10 -> 32 [size =\"38209536\"]\n  11 [size=\"62815573\", alpha=\"0.05\", expect_size=\"18844672\"] \n  11 -> 23 [size =\"18844672\"]\n  11 -> 25 [size =\"18844672\"]\n  11 -> 26 [size =\"18844672\"]\n  11 -> 28 [size =\"18844672\"]\n  11 -> 28 [size =\"18844672\"]\n  11 -> 29 [size =\"18844672\"]\n  11 -> 30 [size =\"18844672\"]\n  11 -> 31 [size =\"18844672\"]\n  12 [size=\"47704747\", alpha=\"0.13\", expect_size=\"14311424\"] \n  12 -> 22 [size =\"14311424\"]\n  12 -> 23 [size =\"14311424\"]\n  12 -> 26 [size =\"14311424\"]\n  12 -> 28 [size =\"14311424\"]\n  12 -> 30 [size =\"14311424\"]\n  13 [size=\"132454400\", alpha=\"0.18\", expect_size=\"39736320\"] \n  13 -> 25 [size =\"39736320\"]\n  13 -> 26 [size =\"39736320\"]\n  13 -> 27 [size =\"39736320\"]\n  13 -> 28 [size =\"39736320\"]\n  13 -> 30 [size =\"39736320\"]\n  13 -> 31 [size =\"39736320\"]\n  13 -> 33 [size =\"39736320\"]\n  14 [size=\"17954133\", alpha=\"0.08\", expect_size=\"5386240\"] \n  14 -> 23 [size =\"5386240\"]\n  14 -> 25 [size =\"5386240\"]\n  14 -> 26 [size =\"5386240\"]\n  14 -> 27 [size =\"5386240\"]\n  14 -> 28 [size =\"5386240\"]\n  14 -> 30 [size =\"5386240\"]\n  14 -> 32 [size =\"5386240\"]\n  14 -> 33 [size =\"5386240\"]\n  15 [size=\"150609920\", alpha=\"0.20\", expect_size=\"45182976\"] \n  15 -> 22 [size =\"45182976\"]\n  15 -> 23 [size =\"45182976\"]\n  15 -> 24 [size =\"45182976\"]\n  15 -> 25 [size =\"45182976\"]\n  15 -> 26 [size =\"45182976\"]\n  15 -> 27 [size =\"45182976\"]\n  15 -> 28 [size =\"45182976\"]\n  15 -> 30 [size =\"45182976\"]\n  15 -> 32 [size =\"45182976\"]\n  16 [size=\"51049813\", alpha=\"0.00\", expect_size=\"15314944\"] \n  16 -> 25 [size =\"15314944\"]\n  16 -> 28 [size =\"15314944\"]\n  16 -> 30 [size =\"15314944\"]\n  16 -> 31 [size =\"15314944\"]\n  16 -> 33 [size =\"15314944\"]\n  17 [size=\"113752747\", alpha=\"0.12\", expect_size=\"34125824\"] \n  17 -> 21 [size =\"34125824\"]\n  17 -> 25 [size =\"34125824\"]\n  17 -> 31 [size =\"34125824\"]\n  17 -> 33 [size =\"34125824\"]\n  18 [size=\"85620053\", alpha=\"0.03\", expect_size=\"25686016\"] \n  18 -> 21 [size =\"25686016\"]\n  18 -> 24 [size =\"25686016\"]\n  18 -> 25 [size =\"25686016\"]\n  18 -> 26 [size =\"25686016\"]\n  18 -> 27 [size =\"25686016\"]\n  18 -> 30 [size =\"25686016\"]\n  18 -> 32 [size =\"25686016\"]\n  18 -> 33 [size =\"25686016\"]\n  19 [size=\"143663787\", alpha=\"0.12\", expect_size=\"43099136\"] \n  19 -> 24 [size =\"43099136\"]\n  19 -> 24 [size =\"43099136\"]\n  19 -> 25 [size =\"43099136\"]\n  19 -> 28 [size =\"43099136\"]\n  19 -> 29 [size =\"43099136\"]\n  19 -> 30 [size =\"43099136\"]\n  19 -> 33 [size =\"43099136\"]\n  19 -> 33 [size =\"43099136\"]\n  20 [size=\"126849707\", alpha=\"0.07\", expect_size=\"38054912\"] \n  20 -> 24 [size =\"38054912\"]\n  20 -> 28 [size =\"38054912\"]\n  20 -> 29 [size =\"38054912\"]\n  20 -> 30 [size =\"38054912\"]\n  20 -> 31 [size =\"38054912\"]\n  20 -> 32 [size =\"38054912\"]\n  20 -> 33 [size =\"38054912\"]\n  21 [size=\"27473920\", alpha=\"0.19\", expect_size=\"8242176\"] \n  21 -> 35 [size =\"8242176\"]\n  21 -> 36 [size =\"8242176\"]\n  21 -> 37 [size =\"8242176\"]\n  21 -> 38 [size =\"8242176\"]\n  21 -> 39 [size =\"8242176\"]\n  21 -> 44 [size =\"8242176\"]\n  22 [size=\"69795840\", alpha=\"0.15\", expect_size=\"20938752\"] \n  22 -> 37 [size =\"20938752\"]\n  22 -> 38 [size =\"20938752\"]\n  22 -> 39 [size =\"20938752\"]\n  22 -> 40 [size =\"20938752\"]\n  22 -> 45 [size =\"20938752\"]\n  23 [size=\"174353067\", alpha=\"0.00\", expect_size=\"52305920\"] \n  23 -> 36 [size =\"52305920\"]\n  23 -> 38 [size =\"52305920\"]\n  23 -> 39 [size =\"52305920\"]\n  23 -> 40 [size =\"52305920\"]\n  24 [size=\"159590400\", alpha=\"0.12\", expect_size=\"47877120\"] \n  24 -> 34 [size =\"47877120\"]\n  24 -> 36 [size =\"47877120\"]\n  24 -> 37 [size =\"47877120\"]\n  24 -> 38 [size =\"47877120\"]\n  24 -> 40 [size =\"47877120\"]\n  24 -> 41 [size =\"47877120\"]\n  24 -> 44 [size =\"47877120\"]\n  25 [size=\"69140480\", alpha=\"0.06\", expect_size=\"20742144\"] \n  25 -> 35 [size =\"20742144\"]\n  25 -> 36 [size =\"20742144\"]\n  25 -> 37 [size =\"20742144\"]\n  25 -> 40 [size =\"20742144\"]\n  25 -> 41 [size =\"20742144\"]\n  25 -> 42 [size =\"20742144\"]\n  25 -> 44 [size =\"20742144\"]\n  26 [size=\"67816107\", alpha=\"0.14\", expect_size=\"20344832\"] \n  26 -> 34 [size =\"20344832\"]\n  26 -> 36 [size =\"20344832\"]\n  26 -> 37 [size =\"20344832\"]\n  26 -> 39 [size =\"20344832\"]\n  26 -> 40 [size =\"20344832\"]\n  26 -> 44 [size =\"20344832\"]\n  26 -> 44 [size =\"20344832\"]\n  27 [size=\"68082347\", alpha=\"0.15\", expect_size=\"20424704\"] \n  27 -> 36 [size =\"20424704\"]\n  27 -> 37 [size =\"20424704\"]\n  27 -> 37 [size =\"20424704\"]\n  27 -> 39 [size =\"20424704\"]\n  27 -> 40 [size =\"20424704\"]\n  27 -> 44 [size =\"20424704\"]\n  28 [size=\"162054827\", alpha=\"0.13\", expect_size=\"48616448\"] \n  28 -> 34 [size =\"48616448\"]\n  28 -> 36 [size =\"48616448\"]\n  28 -> 37 [size =\"48616448\"]\n  28 -> 38 [size =\"48616448\"]\n  28 -> 39 [size =\"48616448\"]\n  28 -> 40 [size =\"48616448\"]\n  28 -> 41 [size =\"48616448\"]\n  28 -> 44 [size =\"48616448\"]\n  29 [size=\"32010240\", alpha=\"0.01\", expect_size=\"9603072\"] \n  29 -> 36 [size =\"9603072\"]\n  29 -> 36 [size =\"9603072\"]\n  29 -> 37 [size =\"9603072\"]\n  29 -> 38 [size =\"9603072\"]\n  29 -> 40 [size =\"9603072\"]\n  29 -> 41 [size =\"9603072\"]\n  29 -> 42 [size =\"9603072\"]\n  29 -> 43 [size =\"9603072\"]\n  29 -> 44 [size =\"9603072\"]\n  30 [size=\"125566293\", alpha=\"0.04\", expect_size=\"37669888\"] \n  30 -> 36 [size =\"37669888\"]\n  30 -> 38 [size =\"37669888\"]\n  30 -> 39 [size =\"37669888\"]\n  30 -> 44 [size =\"37669888\"]\n  31 [size=\"19510613\", alpha=\"0.12\", expect_size=\"5853184\"] \n  31 -> 35 [size =\"5853184\"]\n  31 -> 36 [size =\"5853184\"]\n  31 -> 37 [size =\"5853184\"]\n  31 -> 38 [size =\"5853184\"]\n  31 -> 40 [size =\"5853184\"]\n  31 -> 44 [size =\"5853184\"]\n  32 [size=\"166372693\", alpha=\"0.04\", expect_size=\"49911808\"] \n  32 -> 37 [size =\"49911808\"]\n  32 -> 38 [size =\"49911808\"]\n  32 -> 39 [size =\"49911808\"]\n  32 -> 44 [size =\"49911808\"]\n  33 [size=\"130327893\", alpha=\"0.11\", expect_size=\"39098368\"] \n  33 -> 36 [size =\"39098368\"]\n  33 -> 37 [size =\"39098368\"]\n  33 -> 38 [size =\"39098368\"]\n  33 -> 44 [size =\"39098368\"]\n  34 [size=\"130925227\", alpha=\"0.18\", expect_size=\"39277568\"] \n  35 [size=\"69730987\", alpha=\"0.01\", expect_size=\"20919296\"] \n  36 [size=\"117701973\", alpha=\"0.09\", expect_size=\"35310592\"] \n  37 [size=\"72192000\", alpha=\"0.09\", expect_size=\"21657600\"] \n  38 [size=\"34194773\", alpha=\"0.18\", expect_size=\"10258432\"] \n  39 [size=\"135277227\", alpha=\"0.03\", expect_size=\"40583168\"] \n  40 [size=\"145786880\", alpha=\"0.02\", expect_size=\"43736064\"] \n  41 [size=\"18319360\", alpha=\"0.02\", expect_size=\"5495808\"] \n  42 [size=\"112793600\", alpha=\"0.09\", expect_size=\"33838080\"] \n  43 [size=\"144865280\", alpha=\"0.15\", expect_size=\"43459584\"] \n  44 [size=\"72232960\", alpha=\"0.00\", expect_size=\"21669888\"] \n  45 [size=\"52654080\", alpha=\"0.11\", expect_size=\"15796224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22671360\", alpha=\"0.05\", expect_size=\"9068544\"] \n  1 -> 39 [size =\"9068544\"]\n  1 -> 40 [size =\"9068544\"]\n  1 -> 41 [size =\"9068544\"]\n  1 -> 44 [size =\"9068544\"]\n  2 [size=\"53606400\", alpha=\"0.16\", expect_size=\"21442560\"] \n  3 [size=\"13995520\", alpha=\"0.18\", expect_size=\"5598208\"] \n  3 -> 40 [size =\"5598208\"]\n  3 -> 43 [size =\"5598208\"]\n  4 [size=\"20910080\", alpha=\"0.20\", expect_size=\"8364032\"] \n  4 -> 37 [size =\"8364032\"]\n  4 -> 40 [size =\"8364032\"]\n  4 -> 43 [size =\"8364032\"]\n  5 [size=\"72455680\", alpha=\"0.09\", expect_size=\"28982272\"] \n  5 -> 43 [size =\"28982272\"]\n  5 -> 44 [size =\"28982272\"]\n  6 [size=\"83466240\", alpha=\"0.11\", expect_size=\"33386496\"] \n  6 -> 38 [size =\"33386496\"]\n  6 -> 40 [size =\"33386496\"]\n  6 -> 41 [size =\"33386496\"]\n  6 -> 44 [size =\"33386496\"]\n  7 [size=\"31546880\", alpha=\"0.11\", expect_size=\"12618752\"] \n  7 -> 38 [size =\"12618752\"]\n  7 -> 40 [size =\"12618752\"]\n  7 -> 41 [size =\"12618752\"]\n  7 -> 45 [size =\"12618752\"]\n  8 [size=\"53186560\", alpha=\"0.06\", expect_size=\"21274624\"] \n  8 -> 38 [size =\"21274624\"]\n  8 -> 40 [size =\"21274624\"]\n  8 -> 41 [size =\"21274624\"]\n  8 -> 43 [size =\"21274624\"]\n  9 [size=\"71779840\", alpha=\"0.15\", expect_size=\"28711936\"] \n  9 -> 40 [size =\"28711936\"]\n  9 -> 41 [size =\"28711936\"]\n  9 -> 43 [size =\"28711936\"]\n  10 [size=\"19225600\", alpha=\"0.12\", expect_size=\"7690240\"] \n  10 -> 40 [size =\"7690240\"]\n  10 -> 43 [size =\"7690240\"]\n  10 -> 43 [size =\"7690240\"]\n  10 -> 45 [size =\"7690240\"]\n  11 [size=\"35271680\", alpha=\"0.17\", expect_size=\"14108672\"] \n  11 -> 40 [size =\"14108672\"]\n  11 -> 41 [size =\"14108672\"]\n  11 -> 43 [size =\"14108672\"]\n  11 -> 45 [size =\"14108672\"]\n  12 [size=\"64286720\", alpha=\"0.19\", expect_size=\"25714688\"] \n  12 -> 37 [size =\"25714688\"]\n  12 -> 41 [size =\"25714688\"]\n  13 [size=\"43077120\", alpha=\"0.04\", expect_size=\"17230848\"] \n  13 -> 40 [size =\"17230848\"]\n  14 [size=\"33182720\", alpha=\"0.15\", expect_size=\"13273088\"] \n  14 -> 37 [size =\"13273088\"]\n  14 -> 38 [size =\"13273088\"]\n  15 [size=\"30760960\", alpha=\"0.00\", expect_size=\"12304384\"] \n  15 -> 37 [size =\"12304384\"]\n  15 -> 42 [size =\"12304384\"]\n  16 [size=\"84131840\", alpha=\"0.16\", expect_size=\"33652736\"] \n  16 -> 37 [size =\"33652736\"]\n  16 -> 38 [size =\"33652736\"]\n  16 -> 41 [size =\"33652736\"]\n  16 -> 43 [size =\"33652736\"]\n  16 -> 44 [size =\"33652736\"]\n  17 [size=\"29655040\", alpha=\"0.06\", expect_size=\"11862016\"] \n  17 -> 40 [size =\"11862016\"]\n  18 [size=\"94707200\", alpha=\"0.01\", expect_size=\"37882880\"] \n  18 -> 42 [size =\"37882880\"]\n  19 [size=\"130068480\", alpha=\"0.17\", expect_size=\"52027392\"] \n  19 -> 38 [size =\"52027392\"]\n  20 [size=\"98301440\", alpha=\"0.19\", expect_size=\"39320576\"] \n  20 -> 38 [size =\"39320576\"]\n  20 -> 45 [size =\"39320576\"]\n  21 [size=\"52006400\", alpha=\"0.04\", expect_size=\"20802560\"] \n  21 -> 42 [size =\"20802560\"]\n  21 -> 43 [size =\"20802560\"]\n  21 -> 45 [size =\"20802560\"]\n  22 [size=\"33000960\", alpha=\"0.15\", expect_size=\"13200384\"] \n  22 -> 40 [size =\"13200384\"]\n  22 -> 41 [size =\"13200384\"]\n  23 [size=\"29068800\", alpha=\"0.06\", expect_size=\"11627520\"] \n  23 -> 43 [size =\"11627520\"]\n  24 [size=\"49943040\", alpha=\"0.19\", expect_size=\"19977216\"] \n  24 -> 40 [size =\"19977216\"]\n  24 -> 44 [size =\"19977216\"]\n  25 [size=\"20935680\", alpha=\"0.01\", expect_size=\"8374272\"] \n  25 -> 38 [size =\"8374272\"]\n  25 -> 42 [size =\"8374272\"]\n  26 [size=\"23252480\", alpha=\"0.16\", expect_size=\"9300992\"] \n  26 -> 37 [size =\"9300992\"]\n  26 -> 39 [size =\"9300992\"]\n  27 [size=\"114851840\", alpha=\"0.14\", expect_size=\"45940736\"] \n  27 -> 37 [size =\"45940736\"]\n  27 -> 38 [size =\"45940736\"]\n  27 -> 40 [size =\"45940736\"]\n  27 -> 43 [size =\"45940736\"]\n  28 [size=\"30819840\", alpha=\"0.18\", expect_size=\"12327936\"] \n  28 -> 39 [size =\"12327936\"]\n  28 -> 44 [size =\"12327936\"]\n  29 [size=\"39383040\", alpha=\"0.12\", expect_size=\"15753216\"] \n  29 -> 45 [size =\"15753216\"]\n  30 [size=\"20262400\", alpha=\"0.08\", expect_size=\"8104960\"] \n  30 -> 38 [size =\"8104960\"]\n  30 -> 40 [size =\"8104960\"]\n  30 -> 45 [size =\"8104960\"]\n  31 [size=\"16614400\", alpha=\"0.07\", expect_size=\"6645760\"] \n  31 -> 40 [size =\"6645760\"]\n  31 -> 40 [size =\"6645760\"]\n  32 [size=\"38003200\", alpha=\"0.15\", expect_size=\"15201280\"] \n  32 -> 40 [size =\"15201280\"]\n  32 -> 41 [size =\"15201280\"]\n  32 -> 43 [size =\"15201280\"]\n  33 [size=\"124930560\", alpha=\"0.08\", expect_size=\"49972224\"] \n  33 -> 38 [size =\"49972224\"]\n  33 -> 45 [size =\"49972224\"]\n  34 [size=\"42352640\", alpha=\"0.05\", expect_size=\"16941056\"] \n  34 -> 37 [size =\"16941056\"]\n  35 [size=\"34009600\", alpha=\"0.04\", expect_size=\"13603840\"] \n  35 -> 38 [size =\"13603840\"]\n  35 -> 41 [size =\"13603840\"]\n  35 -> 44 [size =\"13603840\"]\n  36 [size=\"41280000\", alpha=\"0.15\", expect_size=\"16512000\"] \n  36 -> 40 [size =\"16512000\"]\n  36 -> 43 [size =\"16512000\"]\n  36 -> 44 [size =\"16512000\"]\n  37 [size=\"16565760\", alpha=\"0.10\", expect_size=\"6626304\"] \n  38 [size=\"96268800\", alpha=\"0.18\", expect_size=\"38507520\"] \n  39 [size=\"84544000\", alpha=\"0.06\", expect_size=\"33817600\"] \n  40 [size=\"40061440\", alpha=\"0.08\", expect_size=\"16024576\"] \n  41 [size=\"86909440\", alpha=\"0.17\", expect_size=\"34763776\"] \n  42 [size=\"129285120\", alpha=\"0.09\", expect_size=\"51714048\"] \n  43 [size=\"100403200\", alpha=\"0.04\", expect_size=\"40161280\"] \n  44 [size=\"30238720\", alpha=\"0.06\", expect_size=\"12095488\"] \n  45 [size=\"56829440\", alpha=\"0.08\", expect_size=\"22731776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164065280\", alpha=\"0.12\", expect_size=\"49219584\"] \n  1 -> 3 [size =\"49219584\"]\n  1 -> 4 [size =\"49219584\"]\n  1 -> 5 [size =\"49219584\"]\n  2 [size=\"73420800\", alpha=\"0.02\", expect_size=\"22026240\"] \n  2 -> 5 [size =\"22026240\"]\n  3 [size=\"125327360\", alpha=\"0.16\", expect_size=\"37598208\"] \n  3 -> 7 [size =\"37598208\"]\n  4 [size=\"169451520\", alpha=\"0.19\", expect_size=\"50835456\"] \n  4 -> 6 [size =\"50835456\"]\n  5 [size=\"74226347\", alpha=\"0.12\", expect_size=\"22267904\"] \n  5 -> 6 [size =\"22267904\"]\n  6 [size=\"137690453\", alpha=\"0.09\", expect_size=\"41307136\"] \n  6 -> 8 [size =\"41307136\"]\n  6 -> 9 [size =\"41307136\"]\n  7 [size=\"86749867\", alpha=\"0.11\", expect_size=\"26024960\"] \n  7 -> 9 [size =\"26024960\"]\n  8 [size=\"63143253\", alpha=\"0.11\", expect_size=\"18942976\"] \n  8 -> 12 [size =\"18942976\"]\n  9 [size=\"149480107\", alpha=\"0.07\", expect_size=\"44844032\"] \n  9 -> 10 [size =\"44844032\"]\n  9 -> 11 [size =\"44844032\"]\n  9 -> 12 [size =\"44844032\"]\n  10 [size=\"144192853\", alpha=\"0.18\", expect_size=\"43257856\"] \n  10 -> 13 [size =\"43257856\"]\n  10 -> 14 [size =\"43257856\"]\n  10 -> 15 [size =\"43257856\"]\n  11 [size=\"18114560\", alpha=\"0.08\", expect_size=\"5434368\"] \n  11 -> 13 [size =\"5434368\"]\n  11 -> 15 [size =\"5434368\"]\n  12 [size=\"114063360\", alpha=\"0.04\", expect_size=\"34219008\"] \n  12 -> 14 [size =\"34219008\"]\n  13 [size=\"128194560\", alpha=\"0.08\", expect_size=\"38458368\"] \n  13 -> 17 [size =\"38458368\"]\n  14 [size=\"94190933\", alpha=\"0.04\", expect_size=\"28257280\"] \n  14 -> 16 [size =\"28257280\"]\n  15 [size=\"89159680\", alpha=\"0.01\", expect_size=\"26747904\"] \n  16 [size=\"24470187\", alpha=\"0.01\", expect_size=\"7341056\"] \n  16 -> 18 [size =\"7341056\"]\n  16 -> 19 [size =\"7341056\"]\n  17 [size=\"94651733\", alpha=\"0.08\", expect_size=\"28395520\"] \n  17 -> 19 [size =\"28395520\"]\n  18 [size=\"23128747\", alpha=\"0.18\", expect_size=\"6938624\"] \n  18 -> 21 [size =\"6938624\"]\n  18 -> 22 [size =\"6938624\"]\n  19 [size=\"106253653\", alpha=\"0.19\", expect_size=\"31876096\"] \n  19 -> 20 [size =\"31876096\"]\n  19 -> 21 [size =\"31876096\"]\n  19 -> 22 [size =\"31876096\"]\n  20 [size=\"158286507\", alpha=\"0.00\", expect_size=\"47485952\"] \n  20 -> 23 [size =\"47485952\"]\n  20 -> 24 [size =\"47485952\"]\n  21 [size=\"140571307\", alpha=\"0.00\", expect_size=\"42171392\"] \n  21 -> 24 [size =\"42171392\"]\n  22 [size=\"48377173\", alpha=\"0.07\", expect_size=\"14513152\"] \n  22 -> 24 [size =\"14513152\"]\n  23 [size=\"80254293\", alpha=\"0.08\", expect_size=\"24076288\"] \n  23 -> 26 [size =\"24076288\"]\n  24 [size=\"143585280\", alpha=\"0.08\", expect_size=\"43075584\"] \n  24 -> 25 [size =\"43075584\"]\n  24 -> 26 [size =\"43075584\"]\n  24 -> 27 [size =\"43075584\"]\n  25 [size=\"20493653\", alpha=\"0.15\", expect_size=\"6148096\"] \n  25 -> 29 [size =\"6148096\"]\n  25 -> 29 [size =\"6148096\"]\n  26 [size=\"30648320\", alpha=\"0.18\", expect_size=\"9194496\"] \n  27 [size=\"41646080\", alpha=\"0.09\", expect_size=\"12493824\"] \n  27 -> 28 [size =\"12493824\"]\n  27 -> 29 [size =\"12493824\"]\n  27 -> 30 [size =\"12493824\"]\n  28 [size=\"100894720\", alpha=\"0.07\", expect_size=\"30268416\"] \n  29 [size=\"86848853\", alpha=\"0.01\", expect_size=\"26054656\"] \n  29 -> 32 [size =\"26054656\"]\n  30 [size=\"77486080\", alpha=\"0.11\", expect_size=\"23245824\"] \n  30 -> 31 [size =\"23245824\"]\n  30 -> 32 [size =\"23245824\"]\n  31 [size=\"78510080\", alpha=\"0.01\", expect_size=\"23553024\"] \n  31 -> 34 [size =\"23553024\"]\n  31 -> 35 [size =\"23553024\"]\n  32 [size=\"79230293\", alpha=\"0.04\", expect_size=\"23769088\"] \n  32 -> 33 [size =\"23769088\"]\n  32 -> 35 [size =\"23769088\"]\n  33 [size=\"135591253\", alpha=\"0.00\", expect_size=\"40677376\"] \n  33 -> 37 [size =\"40677376\"]\n  34 [size=\"40874667\", alpha=\"0.06\", expect_size=\"12262400\"] \n  34 -> 38 [size =\"12262400\"]\n  35 [size=\"104338773\", alpha=\"0.02\", expect_size=\"31301632\"] \n  35 -> 36 [size =\"31301632\"]\n  36 [size=\"68171093\", alpha=\"0.18\", expect_size=\"20451328\"] \n  36 -> 39 [size =\"20451328\"]\n  37 [size=\"52578987\", alpha=\"0.04\", expect_size=\"15773696\"] \n  37 -> 39 [size =\"15773696\"]\n  38 [size=\"126842880\", alpha=\"0.11\", expect_size=\"38052864\"] \n  38 -> 39 [size =\"38052864\"]\n  38 -> 40 [size =\"38052864\"]\n  39 [size=\"22053547\", alpha=\"0.09\", expect_size=\"6616064\"] \n  39 -> 43 [size =\"6616064\"]\n  40 [size=\"27508053\", alpha=\"0.05\", expect_size=\"8252416\"] \n  40 -> 41 [size =\"8252416\"]\n  40 -> 42 [size =\"8252416\"]\n  41 [size=\"112640000\", alpha=\"0.17\", expect_size=\"33792000\"] \n  41 -> 45 [size =\"33792000\"]\n  42 [size=\"120801280\", alpha=\"0.13\", expect_size=\"36240384\"] \n  42 -> 44 [size =\"36240384\"]\n  43 [size=\"148585813\", alpha=\"0.16\", expect_size=\"44575744\"] \n  43 -> 44 [size =\"44575744\"]\n  43 -> 45 [size =\"44575744\"]\n  44 [size=\"149422080\", alpha=\"0.16\", expect_size=\"44826624\"] \n  45 [size=\"42745173\", alpha=\"0.16\", expect_size=\"12823552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55021568\", alpha=\"0.15\", expect_size=\"27510784\"] \n  1 -> 2 [size =\"27510784\"]\n  2 [size=\"28688384\", alpha=\"0.12\", expect_size=\"14344192\"] \n  2 -> 3 [size =\"14344192\"]\n  3 [size=\"52074496\", alpha=\"0.06\", expect_size=\"26037248\"] \n  3 -> 4 [size =\"26037248\"]\n  4 [size=\"82651136\", alpha=\"0.09\", expect_size=\"41325568\"] \n  4 -> 5 [size =\"41325568\"]\n  5 [size=\"53774336\", alpha=\"0.19\", expect_size=\"26887168\"] \n  5 -> 6 [size =\"26887168\"]\n  6 [size=\"14600192\", alpha=\"0.04\", expect_size=\"7300096\"] \n  6 -> 7 [size =\"7300096\"]\n  7 [size=\"17440768\", alpha=\"0.04\", expect_size=\"8720384\"] \n  7 -> 8 [size =\"8720384\"]\n  8 [size=\"41388032\", alpha=\"0.06\", expect_size=\"20694016\"] \n  8 -> 9 [size =\"20694016\"]\n  9 [size=\"35790848\", alpha=\"0.15\", expect_size=\"17895424\"] \n  9 -> 10 [size =\"17895424\"]\n  10 [size=\"77346816\", alpha=\"0.10\", expect_size=\"38673408\"] \n  10 -> 11 [size =\"38673408\"]\n  11 [size=\"62560256\", alpha=\"0.04\", expect_size=\"31280128\"] \n  11 -> 12 [size =\"31280128\"]\n  12 [size=\"39886848\", alpha=\"0.14\", expect_size=\"19943424\"] \n  12 -> 13 [size =\"19943424\"]\n  13 [size=\"97077248\", alpha=\"0.03\", expect_size=\"48538624\"] \n  13 -> 14 [size =\"48538624\"]\n  14 [size=\"30631936\", alpha=\"0.05\", expect_size=\"15315968\"] \n  14 -> 15 [size =\"15315968\"]\n  15 [size=\"73015296\", alpha=\"0.15\", expect_size=\"36507648\"] \n  15 -> 16 [size =\"36507648\"]\n  16 [size=\"67584000\", alpha=\"0.15\", expect_size=\"33792000\"] \n  16 -> 17 [size =\"33792000\"]\n  17 [size=\"84908032\", alpha=\"0.08\", expect_size=\"42454016\"] \n  17 -> 18 [size =\"42454016\"]\n  18 [size=\"11429888\", alpha=\"0.14\", expect_size=\"5714944\"] \n  18 -> 19 [size =\"5714944\"]\n  19 [size=\"37894144\", alpha=\"0.14\", expect_size=\"18947072\"] \n  19 -> 20 [size =\"18947072\"]\n  20 [size=\"12734464\", alpha=\"0.04\", expect_size=\"6367232\"] \n  20 -> 21 [size =\"6367232\"]\n  21 [size=\"58157056\", alpha=\"0.04\", expect_size=\"29078528\"] \n  21 -> 22 [size =\"29078528\"]\n  22 [size=\"75200512\", alpha=\"0.07\", expect_size=\"37600256\"] \n  22 -> 23 [size =\"37600256\"]\n  23 [size=\"46245888\", alpha=\"0.20\", expect_size=\"23122944\"] \n  23 -> 24 [size =\"23122944\"]\n  24 [size=\"61689856\", alpha=\"0.07\", expect_size=\"30844928\"] \n  24 -> 25 [size =\"30844928\"]\n  25 [size=\"87289856\", alpha=\"0.04\", expect_size=\"43644928\"] \n  25 -> 26 [size =\"43644928\"]\n  26 [size=\"61489152\", alpha=\"0.02\", expect_size=\"30744576\"] \n  26 -> 27 [size =\"30744576\"]\n  27 [size=\"39137280\", alpha=\"0.01\", expect_size=\"19568640\"] \n  27 -> 28 [size =\"19568640\"]\n  28 [size=\"75663360\", alpha=\"0.07\", expect_size=\"37831680\"] \n  28 -> 29 [size =\"37831680\"]\n  29 [size=\"48562176\", alpha=\"0.18\", expect_size=\"24281088\"] \n  29 -> 30 [size =\"24281088\"]\n  30 [size=\"20043776\", alpha=\"0.03\", expect_size=\"10021888\"] \n  30 -> 31 [size =\"10021888\"]\n  31 [size=\"39880704\", alpha=\"0.20\", expect_size=\"19940352\"] \n  31 -> 32 [size =\"19940352\"]\n  32 [size=\"58241024\", alpha=\"0.02\", expect_size=\"29120512\"] \n  32 -> 33 [size =\"29120512\"]\n  33 [size=\"93329408\", alpha=\"0.03\", expect_size=\"46664704\"] \n  33 -> 34 [size =\"46664704\"]\n  34 [size=\"92360704\", alpha=\"0.08\", expect_size=\"46180352\"] \n  34 -> 35 [size =\"46180352\"]\n  35 [size=\"33134592\", alpha=\"0.06\", expect_size=\"16567296\"] \n  35 -> 36 [size =\"16567296\"]\n  36 [size=\"53309440\", alpha=\"0.17\", expect_size=\"26654720\"] \n  36 -> 37 [size =\"26654720\"]\n  37 [size=\"62629888\", alpha=\"0.03\", expect_size=\"31314944\"] \n  37 -> 38 [size =\"31314944\"]\n  38 [size=\"68055040\", alpha=\"0.10\", expect_size=\"34027520\"] \n  38 -> 39 [size =\"34027520\"]\n  39 [size=\"100487168\", alpha=\"0.02\", expect_size=\"50243584\"] \n  39 -> 40 [size =\"50243584\"]\n  40 [size=\"90859520\", alpha=\"0.15\", expect_size=\"45429760\"] \n  40 -> 41 [size =\"45429760\"]\n  41 [size=\"11663360\", alpha=\"0.18\", expect_size=\"5831680\"] \n  41 -> 42 [size =\"5831680\"]\n  42 [size=\"103716864\", alpha=\"0.14\", expect_size=\"51858432\"] \n  42 -> 43 [size =\"51858432\"]\n  43 [size=\"18933760\", alpha=\"0.18\", expect_size=\"9466880\"] \n  43 -> 44 [size =\"9466880\"]\n  44 [size=\"32651264\", alpha=\"0.13\", expect_size=\"16325632\"] \n  44 -> 45 [size =\"16325632\"]\n  45 [size=\"70645760\", alpha=\"0.05\", expect_size=\"35322880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170554027\", alpha=\"0.04\", expect_size=\"51166208\"] \n  2 [size=\"62187520\", alpha=\"0.01\", expect_size=\"18656256\"] \n  3 [size=\"98655573\", alpha=\"0.09\", expect_size=\"29596672\"] \n  3 -> 4 [size =\"29596672\"]\n  3 -> 5 [size =\"29596672\"]\n  4 [size=\"99645440\", alpha=\"0.19\", expect_size=\"29893632\"] \n  4 -> 8 [size =\"29893632\"]\n  5 [size=\"140032000\", alpha=\"0.08\", expect_size=\"42009600\"] \n  5 -> 6 [size =\"42009600\"]\n  5 -> 7 [size =\"42009600\"]\n  6 [size=\"112029013\", alpha=\"0.14\", expect_size=\"33608704\"] \n  6 -> 10 [size =\"33608704\"]\n  7 [size=\"23852373\", alpha=\"0.03\", expect_size=\"7155712\"] \n  7 -> 9 [size =\"7155712\"]\n  7 -> 10 [size =\"7155712\"]\n  8 [size=\"148077227\", alpha=\"0.14\", expect_size=\"44423168\"] \n  8 -> 11 [size =\"44423168\"]\n  9 [size=\"44137813\", alpha=\"0.19\", expect_size=\"13241344\"] \n  9 -> 12 [size =\"13241344\"]\n  10 [size=\"27351040\", alpha=\"0.09\", expect_size=\"8205312\"] \n  10 -> 12 [size =\"8205312\"]\n  11 [size=\"154023253\", alpha=\"0.15\", expect_size=\"46206976\"] \n  11 -> 13 [size =\"46206976\"]\n  12 [size=\"25094827\", alpha=\"0.13\", expect_size=\"7528448\"] \n  12 -> 14 [size =\"7528448\"]\n  13 [size=\"32709973\", alpha=\"0.04\", expect_size=\"9812992\"] \n  13 -> 15 [size =\"9812992\"]\n  14 [size=\"103410347\", alpha=\"0.05\", expect_size=\"31023104\"] \n  14 -> 16 [size =\"31023104\"]\n  14 -> 17 [size =\"31023104\"]\n  15 [size=\"97723733\", alpha=\"0.03\", expect_size=\"29317120\"] \n  15 -> 18 [size =\"29317120\"]\n  16 [size=\"158484480\", alpha=\"0.17\", expect_size=\"47545344\"] \n  16 -> 19 [size =\"47545344\"]\n  17 [size=\"113295360\", alpha=\"0.04\", expect_size=\"33988608\"] \n  18 [size=\"139735040\", alpha=\"0.09\", expect_size=\"41920512\"] \n  18 -> 19 [size =\"41920512\"]\n  18 -> 20 [size =\"41920512\"]\n  19 [size=\"96109227\", alpha=\"0.08\", expect_size=\"28832768\"] \n  19 -> 21 [size =\"28832768\"]\n  20 [size=\"85742933\", alpha=\"0.11\", expect_size=\"25722880\"] \n  20 -> 22 [size =\"25722880\"]\n  20 -> 23 [size =\"25722880\"]\n  21 [size=\"154600107\", alpha=\"0.14\", expect_size=\"46380032\"] \n  21 -> 24 [size =\"46380032\"]\n  21 -> 25 [size =\"46380032\"]\n  21 -> 26 [size =\"46380032\"]\n  22 [size=\"115677867\", alpha=\"0.02\", expect_size=\"34703360\"] \n  22 -> 25 [size =\"34703360\"]\n  22 -> 26 [size =\"34703360\"]\n  23 [size=\"61675520\", alpha=\"0.01\", expect_size=\"18502656\"] \n  24 [size=\"90429440\", alpha=\"0.10\", expect_size=\"27128832\"] \n  24 -> 27 [size =\"27128832\"]\n  24 -> 29 [size =\"27128832\"]\n  25 [size=\"126361600\", alpha=\"0.15\", expect_size=\"37908480\"] \n  25 -> 27 [size =\"37908480\"]\n  26 [size=\"153381547\", alpha=\"0.11\", expect_size=\"46014464\"] \n  26 -> 28 [size =\"46014464\"]\n  27 [size=\"127013547\", alpha=\"0.09\", expect_size=\"38104064\"] \n  27 -> 31 [size =\"38104064\"]\n  28 [size=\"155344213\", alpha=\"0.03\", expect_size=\"46603264\"] \n  28 -> 30 [size =\"46603264\"]\n  29 [size=\"65658880\", alpha=\"0.01\", expect_size=\"19697664\"] \n  29 -> 31 [size =\"19697664\"]\n  30 [size=\"125805227\", alpha=\"0.20\", expect_size=\"37741568\"] \n  31 [size=\"54142293\", alpha=\"0.16\", expect_size=\"16242688\"] \n  31 -> 32 [size =\"16242688\"]\n  31 -> 33 [size =\"16242688\"]\n  31 -> 34 [size =\"16242688\"]\n  32 [size=\"161037653\", alpha=\"0.13\", expect_size=\"48311296\"] \n  32 -> 35 [size =\"48311296\"]\n  33 [size=\"19350187\", alpha=\"0.12\", expect_size=\"5805056\"] \n  33 -> 36 [size =\"5805056\"]\n  34 [size=\"24825173\", alpha=\"0.02\", expect_size=\"7447552\"] \n  35 [size=\"102355627\", alpha=\"0.02\", expect_size=\"30706688\"] \n  35 -> 37 [size =\"30706688\"]\n  35 -> 38 [size =\"30706688\"]\n  35 -> 39 [size =\"30706688\"]\n  36 [size=\"59921067\", alpha=\"0.00\", expect_size=\"17976320\"] \n  37 [size=\"149367467\", alpha=\"0.11\", expect_size=\"44810240\"] \n  37 -> 41 [size =\"44810240\"]\n  38 [size=\"62501547\", alpha=\"0.17\", expect_size=\"18750464\"] \n  38 -> 40 [size =\"18750464\"]\n  38 -> 41 [size =\"18750464\"]\n  39 [size=\"87207253\", alpha=\"0.13\", expect_size=\"26162176\"] \n  40 [size=\"92863147\", alpha=\"0.17\", expect_size=\"27858944\"] \n  40 -> 43 [size =\"27858944\"]\n  40 -> 44 [size =\"27858944\"]\n  41 [size=\"89350827\", alpha=\"0.19\", expect_size=\"26805248\"] \n  41 -> 42 [size =\"26805248\"]\n  42 [size=\"55924053\", alpha=\"0.14\", expect_size=\"16777216\"] \n  42 -> 45 [size =\"16777216\"]\n  43 [size=\"157498027\", alpha=\"0.14\", expect_size=\"47249408\"] \n  43 -> 45 [size =\"47249408\"]\n  44 [size=\"94733653\", alpha=\"0.03\", expect_size=\"28420096\"] \n  45 [size=\"110848000\", alpha=\"0.06\", expect_size=\"33254400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121884160\", alpha=\"0.04\", expect_size=\"48753664\"] \n  1 -> 37 [size =\"48753664\"]\n  1 -> 38 [size =\"48753664\"]\n  1 -> 42 [size =\"48753664\"]\n  2 [size=\"57344000\", alpha=\"0.11\", expect_size=\"22937600\"] \n  2 -> 39 [size =\"22937600\"]\n  2 -> 40 [size =\"22937600\"]\n  2 -> 44 [size =\"22937600\"]\n  2 -> 45 [size =\"22937600\"]\n  3 [size=\"118538240\", alpha=\"0.01\", expect_size=\"47415296\"] \n  3 -> 37 [size =\"47415296\"]\n  3 -> 39 [size =\"47415296\"]\n  3 -> 40 [size =\"47415296\"]\n  3 -> 44 [size =\"47415296\"]\n  4 [size=\"31367680\", alpha=\"0.06\", expect_size=\"12547072\"] \n  4 -> 36 [size =\"12547072\"]\n  4 -> 40 [size =\"12547072\"]\n  5 [size=\"115386880\", alpha=\"0.17\", expect_size=\"46154752\"] \n  5 -> 39 [size =\"46154752\"]\n  5 -> 42 [size =\"46154752\"]\n  5 -> 45 [size =\"46154752\"]\n  6 [size=\"51207680\", alpha=\"0.13\", expect_size=\"20483072\"] \n  6 -> 36 [size =\"20483072\"]\n  6 -> 38 [size =\"20483072\"]\n  6 -> 39 [size =\"20483072\"]\n  6 -> 44 [size =\"20483072\"]\n  7 [size=\"49960960\", alpha=\"0.06\", expect_size=\"19984384\"] \n  7 -> 37 [size =\"19984384\"]\n  7 -> 39 [size =\"19984384\"]\n  7 -> 43 [size =\"19984384\"]\n  7 -> 45 [size =\"19984384\"]\n  8 [size=\"104665600\", alpha=\"0.09\", expect_size=\"41866240\"] \n  8 -> 37 [size =\"41866240\"]\n  8 -> 44 [size =\"41866240\"]\n  8 -> 45 [size =\"41866240\"]\n  9 [size=\"54668800\", alpha=\"0.14\", expect_size=\"21867520\"] \n  9 -> 35 [size =\"21867520\"]\n  9 -> 37 [size =\"21867520\"]\n  9 -> 39 [size =\"21867520\"]\n  9 -> 40 [size =\"21867520\"]\n  9 -> 44 [size =\"21867520\"]\n  9 -> 45 [size =\"21867520\"]\n  10 [size=\"80619520\", alpha=\"0.07\", expect_size=\"32247808\"] \n  10 -> 37 [size =\"32247808\"]\n  10 -> 37 [size =\"32247808\"]\n  10 -> 42 [size =\"32247808\"]\n  11 [size=\"50616320\", alpha=\"0.04\", expect_size=\"20246528\"] \n  11 -> 37 [size =\"20246528\"]\n  11 -> 38 [size =\"20246528\"]\n  11 -> 40 [size =\"20246528\"]\n  12 [size=\"73157120\", alpha=\"0.12\", expect_size=\"29262848\"] \n  12 -> 39 [size =\"29262848\"]\n  12 -> 40 [size =\"29262848\"]\n  12 -> 42 [size =\"29262848\"]\n  13 [size=\"19066880\", alpha=\"0.13\", expect_size=\"7626752\"] \n  13 -> 38 [size =\"7626752\"]\n  13 -> 39 [size =\"7626752\"]\n  13 -> 41 [size =\"7626752\"]\n  14 [size=\"27182080\", alpha=\"0.03\", expect_size=\"10872832\"] \n  14 -> 37 [size =\"10872832\"]\n  14 -> 38 [size =\"10872832\"]\n  14 -> 39 [size =\"10872832\"]\n  14 -> 40 [size =\"10872832\"]\n  15 [size=\"63685120\", alpha=\"0.15\", expect_size=\"25474048\"] \n  15 -> 35 [size =\"25474048\"]\n  15 -> 40 [size =\"25474048\"]\n  15 -> 44 [size =\"25474048\"]\n  16 [size=\"47203840\", alpha=\"0.02\", expect_size=\"18881536\"] \n  16 -> 37 [size =\"18881536\"]\n  16 -> 38 [size =\"18881536\"]\n  16 -> 39 [size =\"18881536\"]\n  16 -> 40 [size =\"18881536\"]\n  16 -> 44 [size =\"18881536\"]\n  17 [size=\"121579520\", alpha=\"0.20\", expect_size=\"48631808\"] \n  18 [size=\"39019520\", alpha=\"0.19\", expect_size=\"15607808\"] \n  18 -> 37 [size =\"15607808\"]\n  18 -> 40 [size =\"15607808\"]\n  18 -> 44 [size =\"15607808\"]\n  19 [size=\"94832640\", alpha=\"0.07\", expect_size=\"37933056\"] \n  19 -> 37 [size =\"37933056\"]\n  19 -> 39 [size =\"37933056\"]\n  20 [size=\"61373440\", alpha=\"0.17\", expect_size=\"24549376\"] \n  20 -> 39 [size =\"24549376\"]\n  20 -> 45 [size =\"24549376\"]\n  21 [size=\"100014080\", alpha=\"0.05\", expect_size=\"40005632\"] \n  21 -> 34 [size =\"40005632\"]\n  21 -> 41 [size =\"40005632\"]\n  21 -> 42 [size =\"40005632\"]\n  21 -> 43 [size =\"40005632\"]\n  21 -> 45 [size =\"40005632\"]\n  22 [size=\"121346560\", alpha=\"0.00\", expect_size=\"48538624\"] \n  22 -> 42 [size =\"48538624\"]\n  22 -> 45 [size =\"48538624\"]\n  23 [size=\"72384000\", alpha=\"0.14\", expect_size=\"28953600\"] \n  23 -> 35 [size =\"28953600\"]\n  23 -> 37 [size =\"28953600\"]\n  23 -> 38 [size =\"28953600\"]\n  23 -> 42 [size =\"28953600\"]\n  23 -> 45 [size =\"28953600\"]\n  24 [size=\"31075840\", alpha=\"0.11\", expect_size=\"12430336\"] \n  24 -> 36 [size =\"12430336\"]\n  24 -> 45 [size =\"12430336\"]\n  25 [size=\"48478720\", alpha=\"0.05\", expect_size=\"19391488\"] \n  25 -> 45 [size =\"19391488\"]\n  26 [size=\"20943360\", alpha=\"0.05\", expect_size=\"8377344\"] \n  26 -> 37 [size =\"8377344\"]\n  26 -> 41 [size =\"8377344\"]\n  27 [size=\"34460160\", alpha=\"0.12\", expect_size=\"13784064\"] \n  27 -> 35 [size =\"13784064\"]\n  27 -> 36 [size =\"13784064\"]\n  27 -> 37 [size =\"13784064\"]\n  27 -> 38 [size =\"13784064\"]\n  27 -> 42 [size =\"13784064\"]\n  27 -> 45 [size =\"13784064\"]\n  28 [size=\"33646080\", alpha=\"0.14\", expect_size=\"13458432\"] \n  28 -> 36 [size =\"13458432\"]\n  28 -> 40 [size =\"13458432\"]\n  28 -> 44 [size =\"13458432\"]\n  29 [size=\"27888640\", alpha=\"0.03\", expect_size=\"11155456\"] \n  29 -> 36 [size =\"11155456\"]\n  29 -> 39 [size =\"11155456\"]\n  29 -> 42 [size =\"11155456\"]\n  30 [size=\"68444160\", alpha=\"0.04\", expect_size=\"27377664\"] \n  30 -> 36 [size =\"27377664\"]\n  30 -> 37 [size =\"27377664\"]\n  30 -> 45 [size =\"27377664\"]\n  31 [size=\"48378880\", alpha=\"0.11\", expect_size=\"19351552\"] \n  31 -> 34 [size =\"19351552\"]\n  31 -> 38 [size =\"19351552\"]\n  31 -> 45 [size =\"19351552\"]\n  32 [size=\"76469760\", alpha=\"0.08\", expect_size=\"30587904\"] \n  32 -> 39 [size =\"30587904\"]\n  32 -> 45 [size =\"30587904\"]\n  33 [size=\"78991360\", alpha=\"0.06\", expect_size=\"31596544\"] \n  33 -> 45 [size =\"31596544\"]\n  33 -> 45 [size =\"31596544\"]\n  34 [size=\"43412480\", alpha=\"0.07\", expect_size=\"17364992\"] \n  35 [size=\"105963520\", alpha=\"0.16\", expect_size=\"42385408\"] \n  36 [size=\"15024640\", alpha=\"0.11\", expect_size=\"6009856\"] \n  37 [size=\"44633600\", alpha=\"0.05\", expect_size=\"17853440\"] \n  38 [size=\"113679360\", alpha=\"0.02\", expect_size=\"45471744\"] \n  39 [size=\"77790720\", alpha=\"0.14\", expect_size=\"31116288\"] \n  40 [size=\"96496640\", alpha=\"0.14\", expect_size=\"38598656\"] \n  41 [size=\"119347200\", alpha=\"0.08\", expect_size=\"47738880\"] \n  42 [size=\"65889280\", alpha=\"0.01\", expect_size=\"26355712\"] \n  43 [size=\"114137600\", alpha=\"0.04\", expect_size=\"45655040\"] \n  44 [size=\"34124800\", alpha=\"0.10\", expect_size=\"13649920\"] \n  45 [size=\"75855360\", alpha=\"0.02\", expect_size=\"30342144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89647787\", alpha=\"0.20\", expect_size=\"26894336\"] \n  1 -> 21 [size =\"26894336\"]\n  1 -> 22 [size =\"26894336\"]\n  1 -> 26 [size =\"26894336\"]\n  1 -> 28 [size =\"26894336\"]\n  1 -> 30 [size =\"26894336\"]\n  1 -> 32 [size =\"26894336\"]\n  2 [size=\"51387733\", alpha=\"0.19\", expect_size=\"15416320\"] \n  2 -> 22 [size =\"15416320\"]\n  2 -> 22 [size =\"15416320\"]\n  2 -> 23 [size =\"15416320\"]\n  2 -> 25 [size =\"15416320\"]\n  2 -> 35 [size =\"15416320\"]\n  2 -> 36 [size =\"15416320\"]\n  2 -> 37 [size =\"15416320\"]\n  3 [size=\"95528960\", alpha=\"0.10\", expect_size=\"28658688\"] \n  3 -> 22 [size =\"28658688\"]\n  3 -> 23 [size =\"28658688\"]\n  3 -> 25 [size =\"28658688\"]\n  3 -> 25 [size =\"28658688\"]\n  3 -> 28 [size =\"28658688\"]\n  3 -> 31 [size =\"28658688\"]\n  3 -> 32 [size =\"28658688\"]\n  3 -> 33 [size =\"28658688\"]\n  3 -> 35 [size =\"28658688\"]\n  3 -> 37 [size =\"28658688\"]\n  4 [size=\"98368853\", alpha=\"0.07\", expect_size=\"29510656\"] \n  4 -> 22 [size =\"29510656\"]\n  4 -> 28 [size =\"29510656\"]\n  4 -> 30 [size =\"29510656\"]\n  4 -> 32 [size =\"29510656\"]\n  5 [size=\"163720533\", alpha=\"0.03\", expect_size=\"49116160\"] \n  5 -> 21 [size =\"49116160\"]\n  5 -> 23 [size =\"49116160\"]\n  5 -> 26 [size =\"49116160\"]\n  5 -> 27 [size =\"49116160\"]\n  5 -> 28 [size =\"49116160\"]\n  5 -> 32 [size =\"49116160\"]\n  5 -> 33 [size =\"49116160\"]\n  5 -> 34 [size =\"49116160\"]\n  5 -> 35 [size =\"49116160\"]\n  6 [size=\"148012373\", alpha=\"0.14\", expect_size=\"44403712\"] \n  6 -> 21 [size =\"44403712\"]\n  6 -> 22 [size =\"44403712\"]\n  6 -> 23 [size =\"44403712\"]\n  6 -> 27 [size =\"44403712\"]\n  6 -> 28 [size =\"44403712\"]\n  6 -> 29 [size =\"44403712\"]\n  6 -> 33 [size =\"44403712\"]\n  6 -> 34 [size =\"44403712\"]\n  6 -> 36 [size =\"44403712\"]\n  7 [size=\"83442347\", alpha=\"0.03\", expect_size=\"25032704\"] \n  7 -> 20 [size =\"25032704\"]\n  7 -> 21 [size =\"25032704\"]\n  7 -> 22 [size =\"25032704\"]\n  7 -> 23 [size =\"25032704\"]\n  7 -> 27 [size =\"25032704\"]\n  7 -> 28 [size =\"25032704\"]\n  7 -> 29 [size =\"25032704\"]\n  7 -> 30 [size =\"25032704\"]\n  7 -> 32 [size =\"25032704\"]\n  7 -> 34 [size =\"25032704\"]\n  7 -> 36 [size =\"25032704\"]\n  7 -> 37 [size =\"25032704\"]\n  8 [size=\"37990400\", alpha=\"0.19\", expect_size=\"11397120\"] \n  8 -> 20 [size =\"11397120\"]\n  8 -> 21 [size =\"11397120\"]\n  8 -> 26 [size =\"11397120\"]\n  8 -> 31 [size =\"11397120\"]\n  8 -> 32 [size =\"11397120\"]\n  8 -> 33 [size =\"11397120\"]\n  8 -> 37 [size =\"11397120\"]\n  9 [size=\"159020373\", alpha=\"0.13\", expect_size=\"47706112\"] \n  9 -> 20 [size =\"47706112\"]\n  9 -> 24 [size =\"47706112\"]\n  9 -> 25 [size =\"47706112\"]\n  9 -> 26 [size =\"47706112\"]\n  9 -> 27 [size =\"47706112\"]\n  9 -> 29 [size =\"47706112\"]\n  9 -> 30 [size =\"47706112\"]\n  9 -> 31 [size =\"47706112\"]\n  9 -> 32 [size =\"47706112\"]\n  9 -> 33 [size =\"47706112\"]\n  9 -> 35 [size =\"47706112\"]\n  9 -> 37 [size =\"47706112\"]\n  10 [size=\"112240640\", alpha=\"0.10\", expect_size=\"33672192\"] \n  10 -> 24 [size =\"33672192\"]\n  10 -> 25 [size =\"33672192\"]\n  10 -> 28 [size =\"33672192\"]\n  10 -> 31 [size =\"33672192\"]\n  10 -> 32 [size =\"33672192\"]\n  10 -> 33 [size =\"33672192\"]\n  10 -> 37 [size =\"33672192\"]\n  11 [size=\"24610133\", alpha=\"0.07\", expect_size=\"7383040\"] \n  11 -> 21 [size =\"7383040\"]\n  11 -> 22 [size =\"7383040\"]\n  11 -> 25 [size =\"7383040\"]\n  11 -> 34 [size =\"7383040\"]\n  11 -> 35 [size =\"7383040\"]\n  11 -> 37 [size =\"7383040\"]\n  12 [size=\"22722560\", alpha=\"0.17\", expect_size=\"6816768\"] \n  12 -> 25 [size =\"6816768\"]\n  12 -> 26 [size =\"6816768\"]\n  12 -> 28 [size =\"6816768\"]\n  12 -> 29 [size =\"6816768\"]\n  12 -> 33 [size =\"6816768\"]\n  12 -> 34 [size =\"6816768\"]\n  12 -> 35 [size =\"6816768\"]\n  12 -> 36 [size =\"6816768\"]\n  12 -> 37 [size =\"6816768\"]\n  13 [size=\"169256960\", alpha=\"0.20\", expect_size=\"50777088\"] \n  13 -> 22 [size =\"50777088\"]\n  13 -> 25 [size =\"50777088\"]\n  13 -> 32 [size =\"50777088\"]\n  13 -> 35 [size =\"50777088\"]\n  13 -> 36 [size =\"50777088\"]\n  13 -> 37 [size =\"50777088\"]\n  14 [size=\"86920533\", alpha=\"0.01\", expect_size=\"26076160\"] \n  14 -> 21 [size =\"26076160\"]\n  14 -> 23 [size =\"26076160\"]\n  14 -> 25 [size =\"26076160\"]\n  14 -> 31 [size =\"26076160\"]\n  14 -> 37 [size =\"26076160\"]\n  15 [size=\"140291413\", alpha=\"0.17\", expect_size=\"42087424\"] \n  15 -> 22 [size =\"42087424\"]\n  15 -> 24 [size =\"42087424\"]\n  15 -> 28 [size =\"42087424\"]\n  15 -> 29 [size =\"42087424\"]\n  15 -> 31 [size =\"42087424\"]\n  15 -> 33 [size =\"42087424\"]\n  15 -> 35 [size =\"42087424\"]\n  16 [size=\"165597867\", alpha=\"0.06\", expect_size=\"49679360\"] \n  16 -> 20 [size =\"49679360\"]\n  16 -> 24 [size =\"49679360\"]\n  16 -> 25 [size =\"49679360\"]\n  16 -> 28 [size =\"49679360\"]\n  17 [size=\"117370880\", alpha=\"0.03\", expect_size=\"35211264\"] \n  17 -> 22 [size =\"35211264\"]\n  17 -> 25 [size =\"35211264\"]\n  17 -> 26 [size =\"35211264\"]\n  17 -> 33 [size =\"35211264\"]\n  17 -> 37 [size =\"35211264\"]\n  18 [size=\"141571413\", alpha=\"0.10\", expect_size=\"42471424\"] \n  18 -> 22 [size =\"42471424\"]\n  18 -> 23 [size =\"42471424\"]\n  18 -> 26 [size =\"42471424\"]\n  18 -> 27 [size =\"42471424\"]\n  18 -> 32 [size =\"42471424\"]\n  18 -> 35 [size =\"42471424\"]\n  18 -> 37 [size =\"42471424\"]\n  19 [size=\"130020693\", alpha=\"0.14\", expect_size=\"39006208\"] \n  19 -> 21 [size =\"39006208\"]\n  19 -> 22 [size =\"39006208\"]\n  19 -> 24 [size =\"39006208\"]\n  19 -> 26 [size =\"39006208\"]\n  19 -> 27 [size =\"39006208\"]\n  19 -> 29 [size =\"39006208\"]\n  19 -> 32 [size =\"39006208\"]\n  19 -> 37 [size =\"39006208\"]\n  20 [size=\"78216533\", alpha=\"0.16\", expect_size=\"23464960\"] \n  20 -> 38 [size =\"23464960\"]\n  20 -> 41 [size =\"23464960\"]\n  20 -> 43 [size =\"23464960\"]\n  20 -> 44 [size =\"23464960\"]\n  21 [size=\"154637653\", alpha=\"0.08\", expect_size=\"46391296\"] \n  21 -> 38 [size =\"46391296\"]\n  21 -> 39 [size =\"46391296\"]\n  21 -> 41 [size =\"46391296\"]\n  21 -> 42 [size =\"46391296\"]\n  21 -> 43 [size =\"46391296\"]\n  21 -> 44 [size =\"46391296\"]\n  21 -> 45 [size =\"46391296\"]\n  22 [size=\"52691627\", alpha=\"0.03\", expect_size=\"15807488\"] \n  22 -> 39 [size =\"15807488\"]\n  22 -> 40 [size =\"15807488\"]\n  22 -> 41 [size =\"15807488\"]\n  22 -> 42 [size =\"15807488\"]\n  22 -> 44 [size =\"15807488\"]\n  22 -> 44 [size =\"15807488\"]\n  22 -> 45 [size =\"15807488\"]\n  23 [size=\"32860160\", alpha=\"0.09\", expect_size=\"9858048\"] \n  23 -> 38 [size =\"9858048\"]\n  23 -> 40 [size =\"9858048\"]\n  23 -> 41 [size =\"9858048\"]\n  23 -> 42 [size =\"9858048\"]\n  23 -> 45 [size =\"9858048\"]\n  24 [size=\"32290133\", alpha=\"0.04\", expect_size=\"9687040\"] \n  24 -> 39 [size =\"9687040\"]\n  24 -> 40 [size =\"9687040\"]\n  24 -> 42 [size =\"9687040\"]\n  24 -> 43 [size =\"9687040\"]\n  24 -> 44 [size =\"9687040\"]\n  24 -> 45 [size =\"9687040\"]\n  25 [size=\"43625813\", alpha=\"0.19\", expect_size=\"13087744\"] \n  25 -> 38 [size =\"13087744\"]\n  25 -> 39 [size =\"13087744\"]\n  25 -> 40 [size =\"13087744\"]\n  25 -> 43 [size =\"13087744\"]\n  26 [size=\"19892907\", alpha=\"0.10\", expect_size=\"5967872\"] \n  26 -> 39 [size =\"5967872\"]\n  26 -> 43 [size =\"5967872\"]\n  26 -> 44 [size =\"5967872\"]\n  27 [size=\"66955947\", alpha=\"0.09\", expect_size=\"20086784\"] \n  27 -> 40 [size =\"20086784\"]\n  27 -> 41 [size =\"20086784\"]\n  27 -> 42 [size =\"20086784\"]\n  27 -> 43 [size =\"20086784\"]\n  27 -> 44 [size =\"20086784\"]\n  27 -> 45 [size =\"20086784\"]\n  28 [size=\"86766933\", alpha=\"0.11\", expect_size=\"26030080\"] \n  28 -> 38 [size =\"26030080\"]\n  28 -> 41 [size =\"26030080\"]\n  28 -> 43 [size =\"26030080\"]\n  28 -> 43 [size =\"26030080\"]\n  29 [size=\"167106560\", alpha=\"0.11\", expect_size=\"50131968\"] \n  29 -> 38 [size =\"50131968\"]\n  29 -> 40 [size =\"50131968\"]\n  29 -> 41 [size =\"50131968\"]\n  29 -> 42 [size =\"50131968\"]\n  29 -> 43 [size =\"50131968\"]\n  30 [size=\"121224533\", alpha=\"0.03\", expect_size=\"36367360\"] \n  30 -> 38 [size =\"36367360\"]\n  30 -> 41 [size =\"36367360\"]\n  30 -> 42 [size =\"36367360\"]\n  30 -> 42 [size =\"36367360\"]\n  30 -> 43 [size =\"36367360\"]\n  30 -> 44 [size =\"36367360\"]\n  30 -> 45 [size =\"36367360\"]\n  31 [size=\"91794773\", alpha=\"0.16\", expect_size=\"27538432\"] \n  31 -> 39 [size =\"27538432\"]\n  31 -> 42 [size =\"27538432\"]\n  31 -> 43 [size =\"27538432\"]\n  32 [size=\"150995627\", alpha=\"0.10\", expect_size=\"45298688\"] \n  32 -> 39 [size =\"45298688\"]\n  32 -> 41 [size =\"45298688\"]\n  32 -> 42 [size =\"45298688\"]\n  32 -> 43 [size =\"45298688\"]\n  32 -> 44 [size =\"45298688\"]\n  33 [size=\"18158933\", alpha=\"0.03\", expect_size=\"5447680\"] \n  33 -> 41 [size =\"5447680\"]\n  33 -> 45 [size =\"5447680\"]\n  34 [size=\"85917013\", alpha=\"0.04\", expect_size=\"25775104\"] \n  34 -> 38 [size =\"25775104\"]\n  34 -> 39 [size =\"25775104\"]\n  34 -> 40 [size =\"25775104\"]\n  34 -> 42 [size =\"25775104\"]\n  34 -> 43 [size =\"25775104\"]\n  35 [size=\"120589653\", alpha=\"0.02\", expect_size=\"36176896\"] \n  35 -> 43 [size =\"36176896\"]\n  35 -> 44 [size =\"36176896\"]\n  35 -> 45 [size =\"36176896\"]\n  36 [size=\"111138133\", alpha=\"0.18\", expect_size=\"33341440\"] \n  36 -> 38 [size =\"33341440\"]\n  36 -> 40 [size =\"33341440\"]\n  36 -> 41 [size =\"33341440\"]\n  36 -> 42 [size =\"33341440\"]\n  36 -> 45 [size =\"33341440\"]\n  37 [size=\"30812160\", alpha=\"0.07\", expect_size=\"9243648\"] \n  37 -> 38 [size =\"9243648\"]\n  37 -> 40 [size =\"9243648\"]\n  37 -> 42 [size =\"9243648\"]\n  38 [size=\"102860800\", alpha=\"0.11\", expect_size=\"30858240\"] \n  39 [size=\"33228800\", alpha=\"0.10\", expect_size=\"9968640\"] \n  40 [size=\"120753493\", alpha=\"0.17\", expect_size=\"36226048\"] \n  41 [size=\"145623040\", alpha=\"0.01\", expect_size=\"43686912\"] \n  42 [size=\"114978133\", alpha=\"0.10\", expect_size=\"34493440\"] \n  43 [size=\"34065067\", alpha=\"0.01\", expect_size=\"10219520\"] \n  44 [size=\"54664533\", alpha=\"0.13\", expect_size=\"16399360\"] \n  45 [size=\"88937813\", alpha=\"0.09\", expect_size=\"26681344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36457813\", alpha=\"0.10\", expect_size=\"10937344\"] \n  1 -> 2 [size =\"10937344\"]\n  2 [size=\"134389760\", alpha=\"0.16\", expect_size=\"40316928\"] \n  2 -> 3 [size =\"40316928\"]\n  3 [size=\"129744213\", alpha=\"0.10\", expect_size=\"38923264\"] \n  3 -> 4 [size =\"38923264\"]\n  4 [size=\"38242987\", alpha=\"0.17\", expect_size=\"11472896\"] \n  4 -> 5 [size =\"11472896\"]\n  5 [size=\"86422187\", alpha=\"0.07\", expect_size=\"25926656\"] \n  5 -> 6 [size =\"25926656\"]\n  6 [size=\"173701120\", alpha=\"0.20\", expect_size=\"52110336\"] \n  6 -> 7 [size =\"52110336\"]\n  7 [size=\"114964480\", alpha=\"0.00\", expect_size=\"34489344\"] \n  7 -> 8 [size =\"34489344\"]\n  8 [size=\"152715947\", alpha=\"0.15\", expect_size=\"45814784\"] \n  8 -> 9 [size =\"45814784\"]\n  9 [size=\"155473920\", alpha=\"0.08\", expect_size=\"46642176\"] \n  9 -> 10 [size =\"46642176\"]\n  10 [size=\"148381013\", alpha=\"0.13\", expect_size=\"44514304\"] \n  10 -> 11 [size =\"44514304\"]\n  11 [size=\"116698453\", alpha=\"0.15\", expect_size=\"35009536\"] \n  11 -> 12 [size =\"35009536\"]\n  12 [size=\"37096107\", alpha=\"0.04\", expect_size=\"11128832\"] \n  12 -> 13 [size =\"11128832\"]\n  13 [size=\"160269653\", alpha=\"0.04\", expect_size=\"48080896\"] \n  13 -> 14 [size =\"48080896\"]\n  14 [size=\"80971093\", alpha=\"0.05\", expect_size=\"24291328\"] \n  14 -> 15 [size =\"24291328\"]\n  15 [size=\"58306560\", alpha=\"0.02\", expect_size=\"17491968\"] \n  15 -> 16 [size =\"17491968\"]\n  16 [size=\"116968107\", alpha=\"0.03\", expect_size=\"35090432\"] \n  16 -> 17 [size =\"35090432\"]\n  17 [size=\"115633493\", alpha=\"0.12\", expect_size=\"34690048\"] \n  17 -> 18 [size =\"34690048\"]\n  18 [size=\"118490453\", alpha=\"0.19\", expect_size=\"35547136\"] \n  18 -> 19 [size =\"35547136\"]\n  19 [size=\"81244160\", alpha=\"0.04\", expect_size=\"24373248\"] \n  19 -> 20 [size =\"24373248\"]\n  20 [size=\"144670720\", alpha=\"0.02\", expect_size=\"43401216\"] \n  20 -> 21 [size =\"43401216\"]\n  21 [size=\"90702507\", alpha=\"0.03\", expect_size=\"27210752\"] \n  21 -> 22 [size =\"27210752\"]\n  22 [size=\"49513813\", alpha=\"0.19\", expect_size=\"14854144\"] \n  22 -> 23 [size =\"14854144\"]\n  23 [size=\"84708693\", alpha=\"0.09\", expect_size=\"25412608\"] \n  23 -> 24 [size =\"25412608\"]\n  24 [size=\"116954453\", alpha=\"0.02\", expect_size=\"35086336\"] \n  24 -> 25 [size =\"35086336\"]\n  25 [size=\"157975893\", alpha=\"0.03\", expect_size=\"47392768\"] \n  25 -> 26 [size =\"47392768\"]\n  26 [size=\"17960960\", alpha=\"0.05\", expect_size=\"5388288\"] \n  26 -> 27 [size =\"5388288\"]\n  27 [size=\"44905813\", alpha=\"0.19\", expect_size=\"13471744\"] \n  27 -> 28 [size =\"13471744\"]\n  28 [size=\"138192213\", alpha=\"0.09\", expect_size=\"41457664\"] \n  28 -> 29 [size =\"41457664\"]\n  29 [size=\"131713707\", alpha=\"0.18\", expect_size=\"39514112\"] \n  29 -> 30 [size =\"39514112\"]\n  30 [size=\"162921813\", alpha=\"0.03\", expect_size=\"48876544\"] \n  30 -> 31 [size =\"48876544\"]\n  31 [size=\"25169920\", alpha=\"0.01\", expect_size=\"7550976\"] \n  31 -> 32 [size =\"7550976\"]\n  32 [size=\"52008960\", alpha=\"0.01\", expect_size=\"15602688\"] \n  32 -> 33 [size =\"15602688\"]\n  33 [size=\"45786453\", alpha=\"0.20\", expect_size=\"13735936\"] \n  33 -> 34 [size =\"13735936\"]\n  34 [size=\"118763520\", alpha=\"0.06\", expect_size=\"35629056\"] \n  34 -> 35 [size =\"35629056\"]\n  35 [size=\"134427307\", alpha=\"0.18\", expect_size=\"40328192\"] \n  35 -> 36 [size =\"40328192\"]\n  36 [size=\"161723733\", alpha=\"0.02\", expect_size=\"48517120\"] \n  36 -> 37 [size =\"48517120\"]\n  37 [size=\"42308267\", alpha=\"0.19\", expect_size=\"12692480\"] \n  37 -> 38 [size =\"12692480\"]\n  38 [size=\"30955520\", alpha=\"0.08\", expect_size=\"9286656\"] \n  38 -> 39 [size =\"9286656\"]\n  39 [size=\"105618773\", alpha=\"0.06\", expect_size=\"31685632\"] \n  39 -> 40 [size =\"31685632\"]\n  40 [size=\"89722880\", alpha=\"0.00\", expect_size=\"26916864\"] \n  40 -> 41 [size =\"26916864\"]\n  41 [size=\"114176000\", alpha=\"0.03\", expect_size=\"34252800\"] \n  41 -> 42 [size =\"34252800\"]\n  42 [size=\"120917333\", alpha=\"0.11\", expect_size=\"36275200\"] \n  42 -> 43 [size =\"36275200\"]\n  43 [size=\"129566720\", alpha=\"0.06\", expect_size=\"38870016\"] \n  43 -> 44 [size =\"38870016\"]\n  44 [size=\"125637973\", alpha=\"0.15\", expect_size=\"37691392\"] \n  44 -> 45 [size =\"37691392\"]\n  45 [size=\"172625920\", alpha=\"0.01\", expect_size=\"51787776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103652693\", alpha=\"0.05\", expect_size=\"31095808\"] \n  1 -> 34 [size =\"31095808\"]\n  1 -> 35 [size =\"31095808\"]\n  1 -> 36 [size =\"31095808\"]\n  1 -> 40 [size =\"31095808\"]\n  1 -> 41 [size =\"31095808\"]\n  1 -> 44 [size =\"31095808\"]\n  1 -> 45 [size =\"31095808\"]\n  2 [size=\"163638613\", alpha=\"0.12\", expect_size=\"49091584\"] \n  2 -> 38 [size =\"49091584\"]\n  2 -> 41 [size =\"49091584\"]\n  2 -> 42 [size =\"49091584\"]\n  3 [size=\"102754987\", alpha=\"0.13\", expect_size=\"30826496\"] \n  3 -> 38 [size =\"30826496\"]\n  3 -> 39 [size =\"30826496\"]\n  3 -> 40 [size =\"30826496\"]\n  3 -> 42 [size =\"30826496\"]\n  3 -> 44 [size =\"30826496\"]\n  4 [size=\"64631467\", alpha=\"0.04\", expect_size=\"19389440\"] \n  4 -> 34 [size =\"19389440\"]\n  4 -> 36 [size =\"19389440\"]\n  4 -> 38 [size =\"19389440\"]\n  4 -> 39 [size =\"19389440\"]\n  4 -> 40 [size =\"19389440\"]\n  4 -> 41 [size =\"19389440\"]\n  4 -> 44 [size =\"19389440\"]\n  5 [size=\"68123307\", alpha=\"0.13\", expect_size=\"20436992\"] \n  5 -> 34 [size =\"20436992\"]\n  5 -> 35 [size =\"20436992\"]\n  5 -> 38 [size =\"20436992\"]\n  5 -> 39 [size =\"20436992\"]\n  5 -> 40 [size =\"20436992\"]\n  5 -> 43 [size =\"20436992\"]\n  6 [size=\"125832533\", alpha=\"0.16\", expect_size=\"37749760\"] \n  6 -> 34 [size =\"37749760\"]\n  6 -> 38 [size =\"37749760\"]\n  6 -> 41 [size =\"37749760\"]\n  6 -> 42 [size =\"37749760\"]\n  7 [size=\"70594560\", alpha=\"0.05\", expect_size=\"21178368\"] \n  7 -> 35 [size =\"21178368\"]\n  7 -> 36 [size =\"21178368\"]\n  7 -> 38 [size =\"21178368\"]\n  7 -> 39 [size =\"21178368\"]\n  7 -> 41 [size =\"21178368\"]\n  7 -> 44 [size =\"21178368\"]\n  8 [size=\"79749120\", alpha=\"0.07\", expect_size=\"23924736\"] \n  8 -> 35 [size =\"23924736\"]\n  8 -> 39 [size =\"23924736\"]\n  9 [size=\"71942827\", alpha=\"0.18\", expect_size=\"21582848\"] \n  9 -> 34 [size =\"21582848\"]\n  9 -> 36 [size =\"21582848\"]\n  9 -> 38 [size =\"21582848\"]\n  9 -> 42 [size =\"21582848\"]\n  10 [size=\"143158613\", alpha=\"0.10\", expect_size=\"42947584\"] \n  10 -> 34 [size =\"42947584\"]\n  10 -> 35 [size =\"42947584\"]\n  10 -> 42 [size =\"42947584\"]\n  11 [size=\"86889813\", alpha=\"0.12\", expect_size=\"26066944\"] \n  11 -> 34 [size =\"26066944\"]\n  11 -> 36 [size =\"26066944\"]\n  11 -> 38 [size =\"26066944\"]\n  11 -> 39 [size =\"26066944\"]\n  11 -> 45 [size =\"26066944\"]\n  12 [size=\"123890347\", alpha=\"0.11\", expect_size=\"37167104\"] \n  12 -> 34 [size =\"37167104\"]\n  12 -> 35 [size =\"37167104\"]\n  12 -> 39 [size =\"37167104\"]\n  12 -> 41 [size =\"37167104\"]\n  13 [size=\"63139840\", alpha=\"0.15\", expect_size=\"18941952\"] \n  13 -> 34 [size =\"18941952\"]\n  13 -> 36 [size =\"18941952\"]\n  13 -> 38 [size =\"18941952\"]\n  13 -> 41 [size =\"18941952\"]\n  13 -> 44 [size =\"18941952\"]\n  14 [size=\"164365653\", alpha=\"0.01\", expect_size=\"49309696\"] \n  14 -> 34 [size =\"49309696\"]\n  14 -> 41 [size =\"49309696\"]\n  14 -> 44 [size =\"49309696\"]\n  15 [size=\"35730773\", alpha=\"0.08\", expect_size=\"10719232\"] \n  15 -> 34 [size =\"10719232\"]\n  15 -> 35 [size =\"10719232\"]\n  15 -> 41 [size =\"10719232\"]\n  16 [size=\"137018027\", alpha=\"0.02\", expect_size=\"41105408\"] \n  16 -> 34 [size =\"41105408\"]\n  16 -> 36 [size =\"41105408\"]\n  16 -> 41 [size =\"41105408\"]\n  17 [size=\"102188373\", alpha=\"0.03\", expect_size=\"30656512\"] \n  17 -> 34 [size =\"30656512\"]\n  17 -> 39 [size =\"30656512\"]\n  17 -> 40 [size =\"30656512\"]\n  17 -> 44 [size =\"30656512\"]\n  18 [size=\"139673600\", alpha=\"0.05\", expect_size=\"41902080\"] \n  18 -> 34 [size =\"41902080\"]\n  18 -> 36 [size =\"41902080\"]\n  18 -> 39 [size =\"41902080\"]\n  19 [size=\"37563733\", alpha=\"0.11\", expect_size=\"11269120\"] \n  19 -> 34 [size =\"11269120\"]\n  19 -> 39 [size =\"11269120\"]\n  19 -> 40 [size =\"11269120\"]\n  19 -> 41 [size =\"11269120\"]\n  19 -> 42 [size =\"11269120\"]\n  20 [size=\"20500480\", alpha=\"0.07\", expect_size=\"6150144\"] \n  20 -> 39 [size =\"6150144\"]\n  20 -> 41 [size =\"6150144\"]\n  20 -> 42 [size =\"6150144\"]\n  20 -> 44 [size =\"6150144\"]\n  21 [size=\"101843627\", alpha=\"0.15\", expect_size=\"30553088\"] \n  21 -> 38 [size =\"30553088\"]\n  22 [size=\"41803093\", alpha=\"0.01\", expect_size=\"12540928\"] \n  22 -> 39 [size =\"12540928\"]\n  22 -> 41 [size =\"12540928\"]\n  23 [size=\"129594027\", alpha=\"0.19\", expect_size=\"38878208\"] \n  23 -> 36 [size =\"38878208\"]\n  23 -> 38 [size =\"38878208\"]\n  23 -> 40 [size =\"38878208\"]\n  24 [size=\"86531413\", alpha=\"0.02\", expect_size=\"25959424\"] \n  24 -> 40 [size =\"25959424\"]\n  24 -> 44 [size =\"25959424\"]\n  25 [size=\"93743787\", alpha=\"0.11\", expect_size=\"28123136\"] \n  25 -> 36 [size =\"28123136\"]\n  25 -> 39 [size =\"28123136\"]\n  25 -> 40 [size =\"28123136\"]\n  25 -> 41 [size =\"28123136\"]\n  26 [size=\"156313600\", alpha=\"0.15\", expect_size=\"46894080\"] \n  26 -> 40 [size =\"46894080\"]\n  26 -> 42 [size =\"46894080\"]\n  27 [size=\"17476267\", alpha=\"0.05\", expect_size=\"5242880\"] \n  27 -> 36 [size =\"5242880\"]\n  27 -> 37 [size =\"5242880\"]\n  27 -> 40 [size =\"5242880\"]\n  27 -> 42 [size =\"5242880\"]\n  28 [size=\"40833707\", alpha=\"0.03\", expect_size=\"12250112\"] \n  28 -> 34 [size =\"12250112\"]\n  28 -> 39 [size =\"12250112\"]\n  28 -> 40 [size =\"12250112\"]\n  28 -> 41 [size =\"12250112\"]\n  29 [size=\"78824107\", alpha=\"0.08\", expect_size=\"23647232\"] \n  29 -> 39 [size =\"23647232\"]\n  29 -> 40 [size =\"23647232\"]\n  29 -> 40 [size =\"23647232\"]\n  29 -> 44 [size =\"23647232\"]\n  30 [size=\"163119787\", alpha=\"0.09\", expect_size=\"48935936\"] \n  30 -> 36 [size =\"48935936\"]\n  30 -> 38 [size =\"48935936\"]\n  30 -> 40 [size =\"48935936\"]\n  31 [size=\"64638293\", alpha=\"0.19\", expect_size=\"19391488\"] \n  31 -> 40 [size =\"19391488\"]\n  31 -> 41 [size =\"19391488\"]\n  31 -> 44 [size =\"19391488\"]\n  32 [size=\"26842453\", alpha=\"0.02\", expect_size=\"8052736\"] \n  32 -> 34 [size =\"8052736\"]\n  32 -> 38 [size =\"8052736\"]\n  32 -> 40 [size =\"8052736\"]\n  32 -> 41 [size =\"8052736\"]\n  33 [size=\"38618453\", alpha=\"0.11\", expect_size=\"11585536\"] \n  33 -> 36 [size =\"11585536\"]\n  33 -> 37 [size =\"11585536\"]\n  33 -> 39 [size =\"11585536\"]\n  33 -> 40 [size =\"11585536\"]\n  33 -> 41 [size =\"11585536\"]\n  33 -> 44 [size =\"11585536\"]\n  34 [size=\"27955200\", alpha=\"0.19\", expect_size=\"8386560\"] \n  35 [size=\"42011307\", alpha=\"0.09\", expect_size=\"12603392\"] \n  36 [size=\"131433813\", alpha=\"0.14\", expect_size=\"39430144\"] \n  37 [size=\"90013013\", alpha=\"0.10\", expect_size=\"27003904\"] \n  38 [size=\"128146773\", alpha=\"0.02\", expect_size=\"38444032\"] \n  39 [size=\"150828373\", alpha=\"0.16\", expect_size=\"45248512\"] \n  40 [size=\"55234560\", alpha=\"0.11\", expect_size=\"16570368\"] \n  41 [size=\"124337493\", alpha=\"0.16\", expect_size=\"37301248\"] \n  42 [size=\"112981333\", alpha=\"0.04\", expect_size=\"33894400\"] \n  43 [size=\"127580160\", alpha=\"0.07\", expect_size=\"38274048\"] \n  44 [size=\"56514560\", alpha=\"0.18\", expect_size=\"16954368\"] \n  45 [size=\"46673920\", alpha=\"0.19\", expect_size=\"14002176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91011072\", alpha=\"0.01\", expect_size=\"45505536\"] \n  1 -> 2 [size =\"45505536\"]\n  2 [size=\"19656704\", alpha=\"0.09\", expect_size=\"9828352\"] \n  2 -> 3 [size =\"9828352\"]\n  3 [size=\"78616576\", alpha=\"0.20\", expect_size=\"39308288\"] \n  3 -> 4 [size =\"39308288\"]\n  4 [size=\"19871744\", alpha=\"0.15\", expect_size=\"9935872\"] \n  4 -> 5 [size =\"9935872\"]\n  5 [size=\"37027840\", alpha=\"0.20\", expect_size=\"18513920\"] \n  5 -> 6 [size =\"18513920\"]\n  6 [size=\"88924160\", alpha=\"0.16\", expect_size=\"44462080\"] \n  6 -> 7 [size =\"44462080\"]\n  7 [size=\"74121216\", alpha=\"0.20\", expect_size=\"37060608\"] \n  7 -> 8 [size =\"37060608\"]\n  8 [size=\"56446976\", alpha=\"0.01\", expect_size=\"28223488\"] \n  8 -> 9 [size =\"28223488\"]\n  9 [size=\"66275328\", alpha=\"0.12\", expect_size=\"33137664\"] \n  9 -> 10 [size =\"33137664\"]\n  10 [size=\"92930048\", alpha=\"0.02\", expect_size=\"46465024\"] \n  10 -> 11 [size =\"46465024\"]\n  11 [size=\"61554688\", alpha=\"0.05\", expect_size=\"30777344\"] \n  11 -> 12 [size =\"30777344\"]\n  12 [size=\"64636928\", alpha=\"0.08\", expect_size=\"32318464\"] \n  12 -> 13 [size =\"32318464\"]\n  13 [size=\"12904448\", alpha=\"0.16\", expect_size=\"6452224\"] \n  13 -> 14 [size =\"6452224\"]\n  14 [size=\"12234752\", alpha=\"0.14\", expect_size=\"6117376\"] \n  14 -> 15 [size =\"6117376\"]\n  15 [size=\"83042304\", alpha=\"0.03\", expect_size=\"41521152\"] \n  15 -> 16 [size =\"41521152\"]\n  16 [size=\"82917376\", alpha=\"0.18\", expect_size=\"41458688\"] \n  16 -> 17 [size =\"41458688\"]\n  17 [size=\"64325632\", alpha=\"0.04\", expect_size=\"32162816\"] \n  17 -> 18 [size =\"32162816\"]\n  18 [size=\"62910464\", alpha=\"0.17\", expect_size=\"31455232\"] \n  18 -> 19 [size =\"31455232\"]\n  19 [size=\"67295232\", alpha=\"0.12\", expect_size=\"33647616\"] \n  19 -> 20 [size =\"33647616\"]\n  20 [size=\"30439424\", alpha=\"0.09\", expect_size=\"15219712\"] \n  20 -> 21 [size =\"15219712\"]\n  21 [size=\"39053312\", alpha=\"0.03\", expect_size=\"19526656\"] \n  21 -> 22 [size =\"19526656\"]\n  22 [size=\"63275008\", alpha=\"0.19\", expect_size=\"31637504\"] \n  22 -> 23 [size =\"31637504\"]\n  23 [size=\"101656576\", alpha=\"0.09\", expect_size=\"50828288\"] \n  23 -> 24 [size =\"50828288\"]\n  24 [size=\"82432000\", alpha=\"0.01\", expect_size=\"41216000\"] \n  24 -> 25 [size =\"41216000\"]\n  25 [size=\"52963328\", alpha=\"0.19\", expect_size=\"26481664\"] \n  25 -> 26 [size =\"26481664\"]\n  26 [size=\"66641920\", alpha=\"0.14\", expect_size=\"33320960\"] \n  26 -> 27 [size =\"33320960\"]\n  27 [size=\"56483840\", alpha=\"0.02\", expect_size=\"28241920\"] \n  27 -> 28 [size =\"28241920\"]\n  28 [size=\"74135552\", alpha=\"0.19\", expect_size=\"37067776\"] \n  28 -> 29 [size =\"37067776\"]\n  29 [size=\"59054080\", alpha=\"0.09\", expect_size=\"29527040\"] \n  29 -> 30 [size =\"29527040\"]\n  30 [size=\"22654976\", alpha=\"0.16\", expect_size=\"11327488\"] \n  30 -> 31 [size =\"11327488\"]\n  31 [size=\"65609728\", alpha=\"0.14\", expect_size=\"32804864\"] \n  31 -> 32 [size =\"32804864\"]\n  32 [size=\"79697920\", alpha=\"0.03\", expect_size=\"39848960\"] \n  32 -> 33 [size =\"39848960\"]\n  33 [size=\"74094592\", alpha=\"0.13\", expect_size=\"37047296\"] \n  33 -> 34 [size =\"37047296\"]\n  34 [size=\"22556672\", alpha=\"0.03\", expect_size=\"11278336\"] \n  34 -> 35 [size =\"11278336\"]\n  35 [size=\"28841984\", alpha=\"0.09\", expect_size=\"14420992\"] \n  35 -> 36 [size =\"14420992\"]\n  36 [size=\"25122816\", alpha=\"0.10\", expect_size=\"12561408\"] \n  36 -> 37 [size =\"12561408\"]\n  37 [size=\"89839616\", alpha=\"0.02\", expect_size=\"44919808\"] \n  37 -> 38 [size =\"44919808\"]\n  38 [size=\"97882112\", alpha=\"0.06\", expect_size=\"48941056\"] \n  38 -> 39 [size =\"48941056\"]\n  39 [size=\"95215616\", alpha=\"0.01\", expect_size=\"47607808\"] \n  39 -> 40 [size =\"47607808\"]\n  40 [size=\"43255808\", alpha=\"0.01\", expect_size=\"21627904\"] \n  40 -> 41 [size =\"21627904\"]\n  41 [size=\"24449024\", alpha=\"0.07\", expect_size=\"12224512\"] \n  41 -> 42 [size =\"12224512\"]\n  42 [size=\"89868288\", alpha=\"0.04\", expect_size=\"44934144\"] \n  42 -> 43 [size =\"44934144\"]\n  43 [size=\"10547200\", alpha=\"0.20\", expect_size=\"5273600\"] \n  43 -> 44 [size =\"5273600\"]\n  44 [size=\"72019968\", alpha=\"0.11\", expect_size=\"36009984\"] \n  44 -> 45 [size =\"36009984\"]\n  45 [size=\"87296000\", alpha=\"0.12\", expect_size=\"43648000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45056000\", alpha=\"0.09\", expect_size=\"22528000\"] \n  1 -> 3 [size =\"22528000\"]\n  1 -> 4 [size =\"22528000\"]\n  2 [size=\"91232256\", alpha=\"0.11\", expect_size=\"45616128\"] \n  2 -> 3 [size =\"45616128\"]\n  3 [size=\"16025600\", alpha=\"0.16\", expect_size=\"8012800\"] \n  3 -> 5 [size =\"8012800\"]\n  4 [size=\"63969280\", alpha=\"0.16\", expect_size=\"31984640\"] \n  4 -> 5 [size =\"31984640\"]\n  4 -> 6 [size =\"31984640\"]\n  5 [size=\"90279936\", alpha=\"0.06\", expect_size=\"45139968\"] \n  5 -> 7 [size =\"45139968\"]\n  5 -> 8 [size =\"45139968\"]\n  5 -> 9 [size =\"45139968\"]\n  6 [size=\"67225600\", alpha=\"0.12\", expect_size=\"33612800\"] \n  6 -> 8 [size =\"33612800\"]\n  6 -> 9 [size =\"33612800\"]\n  7 [size=\"79038464\", alpha=\"0.02\", expect_size=\"39519232\"] \n  7 -> 11 [size =\"39519232\"]\n  8 [size=\"103526400\", alpha=\"0.10\", expect_size=\"51763200\"] \n  8 -> 10 [size =\"51763200\"]\n  9 [size=\"11589632\", alpha=\"0.04\", expect_size=\"5794816\"] \n  9 -> 10 [size =\"5794816\"]\n  9 -> 11 [size =\"5794816\"]\n  10 [size=\"88473600\", alpha=\"0.06\", expect_size=\"44236800\"] \n  10 -> 12 [size =\"44236800\"]\n  10 -> 13 [size =\"44236800\"]\n  11 [size=\"61798400\", alpha=\"0.02\", expect_size=\"30899200\"] \n  11 -> 13 [size =\"30899200\"]\n  12 [size=\"11814912\", alpha=\"0.06\", expect_size=\"5907456\"] \n  12 -> 14 [size =\"5907456\"]\n  12 -> 15 [size =\"5907456\"]\n  13 [size=\"64638976\", alpha=\"0.07\", expect_size=\"32319488\"] \n  13 -> 14 [size =\"32319488\"]\n  13 -> 15 [size =\"32319488\"]\n  14 [size=\"47181824\", alpha=\"0.14\", expect_size=\"23590912\"] \n  14 -> 16 [size =\"23590912\"]\n  14 -> 17 [size =\"23590912\"]\n  15 [size=\"30375936\", alpha=\"0.01\", expect_size=\"15187968\"] \n  15 -> 16 [size =\"15187968\"]\n  16 [size=\"58664960\", alpha=\"0.16\", expect_size=\"29332480\"] \n  16 -> 18 [size =\"29332480\"]\n  17 [size=\"20396032\", alpha=\"0.19\", expect_size=\"10198016\"] \n  17 -> 18 [size =\"10198016\"]\n  17 -> 19 [size =\"10198016\"]\n  17 -> 20 [size =\"10198016\"]\n  18 [size=\"30009344\", alpha=\"0.18\", expect_size=\"15004672\"] \n  18 -> 21 [size =\"15004672\"]\n  19 [size=\"77101056\", alpha=\"0.14\", expect_size=\"38550528\"] \n  19 -> 21 [size =\"38550528\"]\n  19 -> 22 [size =\"38550528\"]\n  20 [size=\"96274432\", alpha=\"0.19\", expect_size=\"48137216\"] \n  21 [size=\"31834112\", alpha=\"0.12\", expect_size=\"15917056\"] \n  21 -> 24 [size =\"15917056\"]\n  21 -> 25 [size =\"15917056\"]\n  22 [size=\"39669760\", alpha=\"0.02\", expect_size=\"19834880\"] \n  22 -> 23 [size =\"19834880\"]\n  23 [size=\"66883584\", alpha=\"0.13\", expect_size=\"33441792\"] \n  24 [size=\"99270656\", alpha=\"0.15\", expect_size=\"49635328\"] \n  24 -> 26 [size =\"49635328\"]\n  25 [size=\"70926336\", alpha=\"0.14\", expect_size=\"35463168\"] \n  25 -> 27 [size =\"35463168\"]\n  26 [size=\"76896256\", alpha=\"0.05\", expect_size=\"38448128\"] \n  26 -> 28 [size =\"38448128\"]\n  26 -> 29 [size =\"38448128\"]\n  27 [size=\"57864192\", alpha=\"0.11\", expect_size=\"28932096\"] \n  27 -> 29 [size =\"28932096\"]\n  28 [size=\"55486464\", alpha=\"0.17\", expect_size=\"27743232\"] \n  28 -> 30 [size =\"27743232\"]\n  28 -> 31 [size =\"27743232\"]\n  28 -> 32 [size =\"27743232\"]\n  29 [size=\"46868480\", alpha=\"0.03\", expect_size=\"23434240\"] \n  29 -> 30 [size =\"23434240\"]\n  29 -> 32 [size =\"23434240\"]\n  30 [size=\"17287168\", alpha=\"0.05\", expect_size=\"8643584\"] \n  30 -> 33 [size =\"8643584\"]\n  30 -> 35 [size =\"8643584\"]\n  31 [size=\"13113344\", alpha=\"0.18\", expect_size=\"6556672\"] \n  31 -> 34 [size =\"6556672\"]\n  32 [size=\"68919296\", alpha=\"0.11\", expect_size=\"34459648\"] \n  32 -> 35 [size =\"34459648\"]\n  33 [size=\"76705792\", alpha=\"0.16\", expect_size=\"38352896\"] \n  34 [size=\"42016768\", alpha=\"0.09\", expect_size=\"21008384\"] \n  34 -> 36 [size =\"21008384\"]\n  34 -> 37 [size =\"21008384\"]\n  35 [size=\"18335744\", alpha=\"0.06\", expect_size=\"9167872\"] \n  35 -> 37 [size =\"9167872\"]\n  35 -> 38 [size =\"9167872\"]\n  36 [size=\"85456896\", alpha=\"0.13\", expect_size=\"42728448\"] \n  37 [size=\"17006592\", alpha=\"0.02\", expect_size=\"8503296\"] \n  37 -> 39 [size =\"8503296\"]\n  38 [size=\"70283264\", alpha=\"0.16\", expect_size=\"35141632\"] \n  38 -> 39 [size =\"35141632\"]\n  38 -> 40 [size =\"35141632\"]\n  39 [size=\"55207936\", alpha=\"0.03\", expect_size=\"27603968\"] \n  39 -> 41 [size =\"27603968\"]\n  39 -> 42 [size =\"27603968\"]\n  40 [size=\"67260416\", alpha=\"0.09\", expect_size=\"33630208\"] \n  40 -> 41 [size =\"33630208\"]\n  41 [size=\"90058752\", alpha=\"0.19\", expect_size=\"45029376\"] \n  41 -> 43 [size =\"45029376\"]\n  41 -> 45 [size =\"45029376\"]\n  42 [size=\"80541696\", alpha=\"0.15\", expect_size=\"40270848\"] \n  42 -> 44 [size =\"40270848\"]\n  43 [size=\"40042496\", alpha=\"0.04\", expect_size=\"20021248\"] \n  44 [size=\"22714368\", alpha=\"0.11\", expect_size=\"11357184\"] \n  45 [size=\"65255424\", alpha=\"0.11\", expect_size=\"32627712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98370560\", alpha=\"0.06\", expect_size=\"39348224\"] \n  1 -> 2 [size =\"39348224\"]\n  2 [size=\"70218240\", alpha=\"0.06\", expect_size=\"28087296\"] \n  2 -> 3 [size =\"28087296\"]\n  3 [size=\"128622080\", alpha=\"0.04\", expect_size=\"51448832\"] \n  3 -> 4 [size =\"51448832\"]\n  4 [size=\"60584960\", alpha=\"0.01\", expect_size=\"24233984\"] \n  4 -> 5 [size =\"24233984\"]\n  5 [size=\"20554240\", alpha=\"0.11\", expect_size=\"8221696\"] \n  5 -> 6 [size =\"8221696\"]\n  6 [size=\"21130240\", alpha=\"0.09\", expect_size=\"8452096\"] \n  6 -> 7 [size =\"8452096\"]\n  7 [size=\"38246400\", alpha=\"0.16\", expect_size=\"15298560\"] \n  7 -> 8 [size =\"15298560\"]\n  8 [size=\"21708800\", alpha=\"0.07\", expect_size=\"8683520\"] \n  8 -> 9 [size =\"8683520\"]\n  9 [size=\"110812160\", alpha=\"0.11\", expect_size=\"44324864\"] \n  9 -> 10 [size =\"44324864\"]\n  10 [size=\"124062720\", alpha=\"0.06\", expect_size=\"49625088\"] \n  10 -> 11 [size =\"49625088\"]\n  11 [size=\"62763520\", alpha=\"0.09\", expect_size=\"25105408\"] \n  11 -> 12 [size =\"25105408\"]\n  12 [size=\"97664000\", alpha=\"0.06\", expect_size=\"39065600\"] \n  12 -> 13 [size =\"39065600\"]\n  13 [size=\"14010880\", alpha=\"0.03\", expect_size=\"5604352\"] \n  13 -> 14 [size =\"5604352\"]\n  14 [size=\"36139520\", alpha=\"0.07\", expect_size=\"14455808\"] \n  14 -> 15 [size =\"14455808\"]\n  15 [size=\"42685440\", alpha=\"0.17\", expect_size=\"17074176\"] \n  15 -> 16 [size =\"17074176\"]\n  16 [size=\"109621760\", alpha=\"0.17\", expect_size=\"43848704\"] \n  16 -> 17 [size =\"43848704\"]\n  17 [size=\"44280320\", alpha=\"0.18\", expect_size=\"17712128\"] \n  17 -> 18 [size =\"17712128\"]\n  18 [size=\"19092480\", alpha=\"0.18\", expect_size=\"7636992\"] \n  18 -> 19 [size =\"7636992\"]\n  19 [size=\"62504960\", alpha=\"0.10\", expect_size=\"25001984\"] \n  19 -> 20 [size =\"25001984\"]\n  20 [size=\"128862720\", alpha=\"0.15\", expect_size=\"51545088\"] \n  20 -> 21 [size =\"51545088\"]\n  21 [size=\"46743040\", alpha=\"0.13\", expect_size=\"18697216\"] \n  21 -> 22 [size =\"18697216\"]\n  22 [size=\"101644800\", alpha=\"0.02\", expect_size=\"40657920\"] \n  22 -> 23 [size =\"40657920\"]\n  23 [size=\"17602560\", alpha=\"0.09\", expect_size=\"7041024\"] \n  23 -> 24 [size =\"7041024\"]\n  24 [size=\"33574400\", alpha=\"0.05\", expect_size=\"13429760\"] \n  24 -> 25 [size =\"13429760\"]\n  25 [size=\"75333120\", alpha=\"0.03\", expect_size=\"30133248\"] \n  25 -> 26 [size =\"30133248\"]\n  26 [size=\"58810880\", alpha=\"0.01\", expect_size=\"23524352\"] \n  26 -> 27 [size =\"23524352\"]\n  27 [size=\"43202560\", alpha=\"0.04\", expect_size=\"17281024\"] \n  27 -> 28 [size =\"17281024\"]\n  28 [size=\"29493760\", alpha=\"0.08\", expect_size=\"11797504\"] \n  28 -> 29 [size =\"11797504\"]\n  29 [size=\"19328000\", alpha=\"0.09\", expect_size=\"7731200\"] \n  29 -> 30 [size =\"7731200\"]\n  30 [size=\"81018880\", alpha=\"0.09\", expect_size=\"32407552\"] \n  30 -> 31 [size =\"32407552\"]\n  31 [size=\"49249280\", alpha=\"0.17\", expect_size=\"19699712\"] \n  31 -> 32 [size =\"19699712\"]\n  32 [size=\"127252480\", alpha=\"0.19\", expect_size=\"50900992\"] \n  32 -> 33 [size =\"50900992\"]\n  33 [size=\"18245120\", alpha=\"0.02\", expect_size=\"7298048\"] \n  33 -> 34 [size =\"7298048\"]\n  34 [size=\"73671680\", alpha=\"0.08\", expect_size=\"29468672\"] \n  34 -> 35 [size =\"29468672\"]\n  35 [size=\"105082880\", alpha=\"0.20\", expect_size=\"42033152\"] \n  35 -> 36 [size =\"42033152\"]\n  36 [size=\"119925760\", alpha=\"0.07\", expect_size=\"47970304\"] \n  36 -> 37 [size =\"47970304\"]\n  37 [size=\"126223360\", alpha=\"0.01\", expect_size=\"50489344\"] \n  37 -> 38 [size =\"50489344\"]\n  38 [size=\"31150080\", alpha=\"0.15\", expect_size=\"12460032\"] \n  38 -> 39 [size =\"12460032\"]\n  39 [size=\"79242240\", alpha=\"0.17\", expect_size=\"31696896\"] \n  39 -> 40 [size =\"31696896\"]\n  40 [size=\"14310400\", alpha=\"0.19\", expect_size=\"5724160\"] \n  40 -> 41 [size =\"5724160\"]\n  41 [size=\"65274880\", alpha=\"0.07\", expect_size=\"26109952\"] \n  41 -> 42 [size =\"26109952\"]\n  42 [size=\"45867520\", alpha=\"0.10\", expect_size=\"18347008\"] \n  42 -> 43 [size =\"18347008\"]\n  43 [size=\"40642560\", alpha=\"0.14\", expect_size=\"16257024\"] \n  43 -> 44 [size =\"16257024\"]\n  44 [size=\"50506240\", alpha=\"0.01\", expect_size=\"20202496\"] \n  44 -> 45 [size =\"20202496\"]\n  45 [size=\"98496000\", alpha=\"0.18\", expect_size=\"39398400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36784128\", alpha=\"0.07\", expect_size=\"18392064\"] \n  2 [size=\"43067392\", alpha=\"0.02\", expect_size=\"21533696\"] \n  2 -> 9 [size =\"21533696\"]\n  3 [size=\"89262080\", alpha=\"0.16\", expect_size=\"44631040\"] \n  3 -> 8 [size =\"44631040\"]\n  3 -> 9 [size =\"44631040\"]\n  3 -> 11 [size =\"44631040\"]\n  4 [size=\"61609984\", alpha=\"0.13\", expect_size=\"30804992\"] \n  4 -> 9 [size =\"30804992\"]\n  4 -> 11 [size =\"30804992\"]\n  5 [size=\"22591488\", alpha=\"0.03\", expect_size=\"11295744\"] \n  5 -> 10 [size =\"11295744\"]\n  6 [size=\"88209408\", alpha=\"0.02\", expect_size=\"44104704\"] \n  6 -> 7 [size =\"44104704\"]\n  7 [size=\"26654720\", alpha=\"0.13\", expect_size=\"13327360\"] \n  7 -> 13 [size =\"13327360\"]\n  8 [size=\"31838208\", alpha=\"0.02\", expect_size=\"15919104\"] \n  9 [size=\"42342400\", alpha=\"0.04\", expect_size=\"21171200\"] \n  9 -> 12 [size =\"21171200\"]\n  10 [size=\"37302272\", alpha=\"0.13\", expect_size=\"18651136\"] \n  10 -> 13 [size =\"18651136\"]\n  10 -> 14 [size =\"18651136\"]\n  10 -> 15 [size =\"18651136\"]\n  11 [size=\"101070848\", alpha=\"0.11\", expect_size=\"50535424\"] \n  12 [size=\"39061504\", alpha=\"0.00\", expect_size=\"19530752\"] \n  13 [size=\"49168384\", alpha=\"0.14\", expect_size=\"24584192\"] \n  13 -> 16 [size =\"24584192\"]\n  13 -> 19 [size =\"24584192\"]\n  14 [size=\"29319168\", alpha=\"0.20\", expect_size=\"14659584\"] \n  14 -> 16 [size =\"14659584\"]\n  14 -> 17 [size =\"14659584\"]\n  14 -> 18 [size =\"14659584\"]\n  15 [size=\"89686016\", alpha=\"0.06\", expect_size=\"44843008\"] \n  15 -> 17 [size =\"44843008\"]\n  16 [size=\"10921984\", alpha=\"0.02\", expect_size=\"5460992\"] \n  16 -> 21 [size =\"5460992\"]\n  17 [size=\"18470912\", alpha=\"0.16\", expect_size=\"9235456\"] \n  17 -> 20 [size =\"9235456\"]\n  18 [size=\"78129152\", alpha=\"0.02\", expect_size=\"39064576\"] \n  18 -> 23 [size =\"39064576\"]\n  19 [size=\"87392256\", alpha=\"0.09\", expect_size=\"43696128\"] \n  19 -> 22 [size =\"43696128\"]\n  19 -> 23 [size =\"43696128\"]\n  20 [size=\"104402944\", alpha=\"0.05\", expect_size=\"52201472\"] \n  20 -> 24 [size =\"52201472\"]\n  20 -> 29 [size =\"52201472\"]\n  20 -> 30 [size =\"52201472\"]\n  21 [size=\"72771584\", alpha=\"0.08\", expect_size=\"36385792\"] \n  21 -> 24 [size =\"36385792\"]\n  21 -> 28 [size =\"36385792\"]\n  22 [size=\"29288448\", alpha=\"0.17\", expect_size=\"14644224\"] \n  23 [size=\"30109696\", alpha=\"0.02\", expect_size=\"15054848\"] \n  23 -> 25 [size =\"15054848\"]\n  23 -> 26 [size =\"15054848\"]\n  23 -> 27 [size =\"15054848\"]\n  24 [size=\"94713856\", alpha=\"0.19\", expect_size=\"47356928\"] \n  24 -> 31 [size =\"47356928\"]\n  24 -> 34 [size =\"47356928\"]\n  24 -> 35 [size =\"47356928\"]\n  25 [size=\"94656512\", alpha=\"0.18\", expect_size=\"47328256\"] \n  25 -> 31 [size =\"47328256\"]\n  25 -> 32 [size =\"47328256\"]\n  26 [size=\"28282880\", alpha=\"0.14\", expect_size=\"14141440\"] \n  26 -> 34 [size =\"14141440\"]\n  26 -> 35 [size =\"14141440\"]\n  27 [size=\"39297024\", alpha=\"0.13\", expect_size=\"19648512\"] \n  27 -> 32 [size =\"19648512\"]\n  28 [size=\"20924416\", alpha=\"0.16\", expect_size=\"10462208\"] \n  28 -> 31 [size =\"10462208\"]\n  28 -> 33 [size =\"10462208\"]\n  29 [size=\"28022784\", alpha=\"0.07\", expect_size=\"14011392\"] \n  29 -> 35 [size =\"14011392\"]\n  30 [size=\"69959680\", alpha=\"0.03\", expect_size=\"34979840\"] \n  31 [size=\"95780864\", alpha=\"0.18\", expect_size=\"47890432\"] \n  31 -> 38 [size =\"47890432\"]\n  31 -> 40 [size =\"47890432\"]\n  32 [size=\"37414912\", alpha=\"0.19\", expect_size=\"18707456\"] \n  32 -> 37 [size =\"18707456\"]\n  32 -> 40 [size =\"18707456\"]\n  33 [size=\"21815296\", alpha=\"0.09\", expect_size=\"10907648\"] \n  33 -> 36 [size =\"10907648\"]\n  33 -> 39 [size =\"10907648\"]\n  34 [size=\"33388544\", alpha=\"0.02\", expect_size=\"16694272\"] \n  35 [size=\"28889088\", alpha=\"0.13\", expect_size=\"14444544\"] \n  35 -> 36 [size =\"14444544\"]\n  36 [size=\"20424704\", alpha=\"0.03\", expect_size=\"10212352\"] \n  36 -> 41 [size =\"10212352\"]\n  36 -> 43 [size =\"10212352\"]\n  36 -> 45 [size =\"10212352\"]\n  37 [size=\"85716992\", alpha=\"0.15\", expect_size=\"42858496\"] \n  37 -> 43 [size =\"42858496\"]\n  37 -> 45 [size =\"42858496\"]\n  38 [size=\"52193280\", alpha=\"0.01\", expect_size=\"26096640\"] \n  38 -> 42 [size =\"26096640\"]\n  38 -> 44 [size =\"26096640\"]\n  39 [size=\"35581952\", alpha=\"0.04\", expect_size=\"17790976\"] \n  39 -> 42 [size =\"17790976\"]\n  39 -> 44 [size =\"17790976\"]\n  40 [size=\"67737600\", alpha=\"0.06\", expect_size=\"33868800\"] \n  40 -> 41 [size =\"33868800\"]\n  40 -> 42 [size =\"33868800\"]\n  40 -> 43 [size =\"33868800\"]\n  40 -> 44 [size =\"33868800\"]\n  41 [size=\"81106944\", alpha=\"0.02\", expect_size=\"40553472\"] \n  42 [size=\"71905280\", alpha=\"0.02\", expect_size=\"35952640\"] \n  43 [size=\"68704256\", alpha=\"0.06\", expect_size=\"34352128\"] \n  44 [size=\"15820800\", alpha=\"0.08\", expect_size=\"7910400\"] \n  45 [size=\"26456064\", alpha=\"0.07\", expect_size=\"13228032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69163008\", alpha=\"0.15\", expect_size=\"34581504\"] \n  1 -> 34 [size =\"34581504\"]\n  1 -> 45 [size =\"34581504\"]\n  2 [size=\"14970880\", alpha=\"0.09\", expect_size=\"7485440\"] \n  2 -> 35 [size =\"7485440\"]\n  2 -> 38 [size =\"7485440\"]\n  2 -> 45 [size =\"7485440\"]\n  3 [size=\"29313024\", alpha=\"0.18\", expect_size=\"14656512\"] \n  3 -> 39 [size =\"14656512\"]\n  3 -> 42 [size =\"14656512\"]\n  4 [size=\"24469504\", alpha=\"0.04\", expect_size=\"12234752\"] \n  4 -> 37 [size =\"12234752\"]\n  4 -> 39 [size =\"12234752\"]\n  4 -> 45 [size =\"12234752\"]\n  5 [size=\"16171008\", alpha=\"0.12\", expect_size=\"8085504\"] \n  5 -> 40 [size =\"8085504\"]\n  5 -> 41 [size =\"8085504\"]\n  5 -> 42 [size =\"8085504\"]\n  5 -> 45 [size =\"8085504\"]\n  6 [size=\"67616768\", alpha=\"0.12\", expect_size=\"33808384\"] \n  6 -> 37 [size =\"33808384\"]\n  6 -> 39 [size =\"33808384\"]\n  6 -> 43 [size =\"33808384\"]\n  7 [size=\"57196544\", alpha=\"0.16\", expect_size=\"28598272\"] \n  7 -> 34 [size =\"28598272\"]\n  7 -> 39 [size =\"28598272\"]\n  7 -> 45 [size =\"28598272\"]\n  8 [size=\"11749376\", alpha=\"0.04\", expect_size=\"5874688\"] \n  8 -> 33 [size =\"5874688\"]\n  8 -> 40 [size =\"5874688\"]\n  9 [size=\"68990976\", alpha=\"0.03\", expect_size=\"34495488\"] \n  9 -> 37 [size =\"34495488\"]\n  10 [size=\"28508160\", alpha=\"0.00\", expect_size=\"14254080\"] \n  10 -> 43 [size =\"14254080\"]\n  11 [size=\"78477312\", alpha=\"0.04\", expect_size=\"39238656\"] \n  11 -> 33 [size =\"39238656\"]\n  11 -> 37 [size =\"39238656\"]\n  11 -> 39 [size =\"39238656\"]\n  11 -> 40 [size =\"39238656\"]\n  11 -> 43 [size =\"39238656\"]\n  11 -> 44 [size =\"39238656\"]\n  11 -> 45 [size =\"39238656\"]\n  12 [size=\"54880256\", alpha=\"0.19\", expect_size=\"27440128\"] \n  12 -> 35 [size =\"27440128\"]\n  12 -> 39 [size =\"27440128\"]\n  12 -> 41 [size =\"27440128\"]\n  12 -> 45 [size =\"27440128\"]\n  13 [size=\"98002944\", alpha=\"0.03\", expect_size=\"49001472\"] \n  13 -> 35 [size =\"49001472\"]\n  13 -> 37 [size =\"49001472\"]\n  13 -> 39 [size =\"49001472\"]\n  13 -> 41 [size =\"49001472\"]\n  13 -> 45 [size =\"49001472\"]\n  14 [size=\"90306560\", alpha=\"0.00\", expect_size=\"45153280\"] \n  14 -> 35 [size =\"45153280\"]\n  14 -> 39 [size =\"45153280\"]\n  14 -> 43 [size =\"45153280\"]\n  15 [size=\"17100800\", alpha=\"0.13\", expect_size=\"8550400\"] \n  15 -> 39 [size =\"8550400\"]\n  15 -> 45 [size =\"8550400\"]\n  16 [size=\"71741440\", alpha=\"0.13\", expect_size=\"35870720\"] \n  16 -> 39 [size =\"35870720\"]\n  16 -> 43 [size =\"35870720\"]\n  16 -> 44 [size =\"35870720\"]\n  17 [size=\"35700736\", alpha=\"0.06\", expect_size=\"17850368\"] \n  17 -> 34 [size =\"17850368\"]\n  17 -> 36 [size =\"17850368\"]\n  17 -> 39 [size =\"17850368\"]\n  17 -> 40 [size =\"17850368\"]\n  17 -> 41 [size =\"17850368\"]\n  17 -> 44 [size =\"17850368\"]\n  17 -> 45 [size =\"17850368\"]\n  18 [size=\"17221632\", alpha=\"0.05\", expect_size=\"8610816\"] \n  18 -> 35 [size =\"8610816\"]\n  18 -> 41 [size =\"8610816\"]\n  18 -> 42 [size =\"8610816\"]\n  18 -> 44 [size =\"8610816\"]\n  18 -> 45 [size =\"8610816\"]\n  19 [size=\"36829184\", alpha=\"0.18\", expect_size=\"18414592\"] \n  19 -> 39 [size =\"18414592\"]\n  19 -> 41 [size =\"18414592\"]\n  19 -> 43 [size =\"18414592\"]\n  20 [size=\"50092032\", alpha=\"0.03\", expect_size=\"25046016\"] \n  20 -> 34 [size =\"25046016\"]\n  20 -> 35 [size =\"25046016\"]\n  20 -> 41 [size =\"25046016\"]\n  20 -> 43 [size =\"25046016\"]\n  20 -> 45 [size =\"25046016\"]\n  21 [size=\"51144704\", alpha=\"0.02\", expect_size=\"25572352\"] \n  21 -> 35 [size =\"25572352\"]\n  21 -> 41 [size =\"25572352\"]\n  21 -> 43 [size =\"25572352\"]\n  21 -> 43 [size =\"25572352\"]\n  22 [size=\"70760448\", alpha=\"0.01\", expect_size=\"35380224\"] \n  22 -> 37 [size =\"35380224\"]\n  22 -> 41 [size =\"35380224\"]\n  23 [size=\"67862528\", alpha=\"0.04\", expect_size=\"33931264\"] \n  23 -> 39 [size =\"33931264\"]\n  23 -> 41 [size =\"33931264\"]\n  23 -> 43 [size =\"33931264\"]\n  24 [size=\"83603456\", alpha=\"0.10\", expect_size=\"41801728\"] \n  24 -> 39 [size =\"41801728\"]\n  24 -> 41 [size =\"41801728\"]\n  25 [size=\"84848640\", alpha=\"0.18\", expect_size=\"42424320\"] \n  25 -> 40 [size =\"42424320\"]\n  25 -> 41 [size =\"42424320\"]\n  25 -> 43 [size =\"42424320\"]\n  25 -> 45 [size =\"42424320\"]\n  26 [size=\"50843648\", alpha=\"0.17\", expect_size=\"25421824\"] \n  26 -> 34 [size =\"25421824\"]\n  26 -> 35 [size =\"25421824\"]\n  26 -> 38 [size =\"25421824\"]\n  26 -> 41 [size =\"25421824\"]\n  26 -> 42 [size =\"25421824\"]\n  26 -> 45 [size =\"25421824\"]\n  27 [size=\"16871424\", alpha=\"0.07\", expect_size=\"8435712\"] \n  27 -> 34 [size =\"8435712\"]\n  27 -> 37 [size =\"8435712\"]\n  27 -> 39 [size =\"8435712\"]\n  27 -> 41 [size =\"8435712\"]\n  27 -> 45 [size =\"8435712\"]\n  27 -> 45 [size =\"8435712\"]\n  28 [size=\"43362304\", alpha=\"0.16\", expect_size=\"21681152\"] \n  28 -> 34 [size =\"21681152\"]\n  28 -> 41 [size =\"21681152\"]\n  28 -> 43 [size =\"21681152\"]\n  28 -> 45 [size =\"21681152\"]\n  29 [size=\"66199552\", alpha=\"0.18\", expect_size=\"33099776\"] \n  29 -> 34 [size =\"33099776\"]\n  29 -> 35 [size =\"33099776\"]\n  29 -> 37 [size =\"33099776\"]\n  29 -> 40 [size =\"33099776\"]\n  29 -> 41 [size =\"33099776\"]\n  30 [size=\"54753280\", alpha=\"0.04\", expect_size=\"27376640\"] \n  30 -> 34 [size =\"27376640\"]\n  30 -> 38 [size =\"27376640\"]\n  30 -> 41 [size =\"27376640\"]\n  30 -> 43 [size =\"27376640\"]\n  30 -> 44 [size =\"27376640\"]\n  30 -> 45 [size =\"27376640\"]\n  31 [size=\"70868992\", alpha=\"0.04\", expect_size=\"35434496\"] \n  31 -> 33 [size =\"35434496\"]\n  31 -> 38 [size =\"35434496\"]\n  31 -> 44 [size =\"35434496\"]\n  32 [size=\"78850048\", alpha=\"0.14\", expect_size=\"39425024\"] \n  32 -> 34 [size =\"39425024\"]\n  32 -> 37 [size =\"39425024\"]\n  32 -> 45 [size =\"39425024\"]\n  33 [size=\"83185664\", alpha=\"0.02\", expect_size=\"41592832\"] \n  34 [size=\"102703104\", alpha=\"0.08\", expect_size=\"51351552\"] \n  35 [size=\"57012224\", alpha=\"0.14\", expect_size=\"28506112\"] \n  36 [size=\"46176256\", alpha=\"0.14\", expect_size=\"23088128\"] \n  37 [size=\"32950272\", alpha=\"0.19\", expect_size=\"16475136\"] \n  38 [size=\"64049152\", alpha=\"0.05\", expect_size=\"32024576\"] \n  39 [size=\"46362624\", alpha=\"0.17\", expect_size=\"23181312\"] \n  40 [size=\"38402048\", alpha=\"0.17\", expect_size=\"19201024\"] \n  41 [size=\"58185728\", alpha=\"0.06\", expect_size=\"29092864\"] \n  42 [size=\"79337472\", alpha=\"0.08\", expect_size=\"39668736\"] \n  43 [size=\"51879936\", alpha=\"0.02\", expect_size=\"25939968\"] \n  44 [size=\"63334400\", alpha=\"0.11\", expect_size=\"31667200\"] \n  45 [size=\"99147776\", alpha=\"0.16\", expect_size=\"49573888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67829760\", alpha=\"0.19\", expect_size=\"20348928\"] \n  1 -> 7 [size =\"20348928\"]\n  1 -> 8 [size =\"20348928\"]\n  1 -> 10 [size =\"20348928\"]\n  2 [size=\"172127573\", alpha=\"0.07\", expect_size=\"51638272\"] \n  2 -> 7 [size =\"51638272\"]\n  3 [size=\"105021440\", alpha=\"0.19\", expect_size=\"31506432\"] \n  3 -> 10 [size =\"31506432\"]\n  3 -> 11 [size =\"31506432\"]\n  4 [size=\"119592960\", alpha=\"0.09\", expect_size=\"35877888\"] \n  4 -> 8 [size =\"35877888\"]\n  4 -> 9 [size =\"35877888\"]\n  5 [size=\"120896853\", alpha=\"0.15\", expect_size=\"36269056\"] \n  6 [size=\"139601920\", alpha=\"0.04\", expect_size=\"41880576\"] \n  6 -> 7 [size =\"41880576\"]\n  6 -> 8 [size =\"41880576\"]\n  7 [size=\"27511467\", alpha=\"0.17\", expect_size=\"8253440\"] \n  7 -> 12 [size =\"8253440\"]\n  7 -> 13 [size =\"8253440\"]\n  7 -> 14 [size =\"8253440\"]\n  8 [size=\"72065707\", alpha=\"0.09\", expect_size=\"21619712\"] \n  8 -> 15 [size =\"21619712\"]\n  9 [size=\"128768000\", alpha=\"0.06\", expect_size=\"38630400\"] \n  9 -> 12 [size =\"38630400\"]\n  9 -> 15 [size =\"38630400\"]\n  10 [size=\"69601280\", alpha=\"0.06\", expect_size=\"20880384\"] \n  11 [size=\"78083413\", alpha=\"0.13\", expect_size=\"23425024\"] \n  11 -> 12 [size =\"23425024\"]\n  11 -> 13 [size =\"23425024\"]\n  12 [size=\"69546667\", alpha=\"0.06\", expect_size=\"20864000\"] \n  12 -> 16 [size =\"20864000\"]\n  12 -> 17 [size =\"20864000\"]\n  12 -> 18 [size =\"20864000\"]\n  12 -> 19 [size =\"20864000\"]\n  12 -> 20 [size =\"20864000\"]\n  12 -> 22 [size =\"20864000\"]\n  12 -> 23 [size =\"20864000\"]\n  13 [size=\"122695680\", alpha=\"0.18\", expect_size=\"36808704\"] \n  13 -> 20 [size =\"36808704\"]\n  14 [size=\"115527680\", alpha=\"0.16\", expect_size=\"34658304\"] \n  14 -> 22 [size =\"34658304\"]\n  15 [size=\"30064640\", alpha=\"0.01\", expect_size=\"9019392\"] \n  15 -> 19 [size =\"9019392\"]\n  15 -> 21 [size =\"9019392\"]\n  16 [size=\"144558080\", alpha=\"0.00\", expect_size=\"43367424\"] \n  16 -> 24 [size =\"43367424\"]\n  16 -> 26 [size =\"43367424\"]\n  17 [size=\"174202880\", alpha=\"0.01\", expect_size=\"52260864\"] \n  17 -> 26 [size =\"52260864\"]\n  18 [size=\"151005867\", alpha=\"0.13\", expect_size=\"45301760\"] \n  18 -> 24 [size =\"45301760\"]\n  18 -> 28 [size =\"45301760\"]\n  19 [size=\"63832747\", alpha=\"0.09\", expect_size=\"19149824\"] \n  19 -> 28 [size =\"19149824\"]\n  20 [size=\"109414400\", alpha=\"0.14\", expect_size=\"32824320\"] \n  20 -> 28 [size =\"32824320\"]\n  21 [size=\"153767253\", alpha=\"0.07\", expect_size=\"46130176\"] \n  21 -> 25 [size =\"46130176\"]\n  21 -> 29 [size =\"46130176\"]\n  22 [size=\"100194987\", alpha=\"0.19\", expect_size=\"30058496\"] \n  23 [size=\"150708907\", alpha=\"0.02\", expect_size=\"45212672\"] \n  23 -> 27 [size =\"45212672\"]\n  23 -> 28 [size =\"45212672\"]\n  24 [size=\"132205227\", alpha=\"0.18\", expect_size=\"39661568\"] \n  24 -> 31 [size =\"39661568\"]\n  24 -> 32 [size =\"39661568\"]\n  24 -> 33 [size =\"39661568\"]\n  25 [size=\"98826240\", alpha=\"0.07\", expect_size=\"29647872\"] \n  26 [size=\"108165120\", alpha=\"0.12\", expect_size=\"32449536\"] \n  26 -> 34 [size =\"32449536\"]\n  27 [size=\"109230080\", alpha=\"0.18\", expect_size=\"32769024\"] \n  27 -> 30 [size =\"32769024\"]\n  27 -> 34 [size =\"32769024\"]\n  28 [size=\"119705600\", alpha=\"0.11\", expect_size=\"35911680\"] \n  28 -> 30 [size =\"35911680\"]\n  28 -> 31 [size =\"35911680\"]\n  28 -> 32 [size =\"35911680\"]\n  28 -> 34 [size =\"35911680\"]\n  29 [size=\"61341013\", alpha=\"0.18\", expect_size=\"18402304\"] \n  29 -> 30 [size =\"18402304\"]\n  29 -> 32 [size =\"18402304\"]\n  30 [size=\"128245760\", alpha=\"0.12\", expect_size=\"38473728\"] \n  30 -> 38 [size =\"38473728\"]\n  30 -> 39 [size =\"38473728\"]\n  31 [size=\"84094293\", alpha=\"0.13\", expect_size=\"25228288\"] \n  31 -> 35 [size =\"25228288\"]\n  31 -> 41 [size =\"25228288\"]\n  32 [size=\"136523093\", alpha=\"0.01\", expect_size=\"40956928\"] \n  32 -> 40 [size =\"40956928\"]\n  32 -> 41 [size =\"40956928\"]\n  32 -> 42 [size =\"40956928\"]\n  33 [size=\"125617493\", alpha=\"0.03\", expect_size=\"37685248\"] \n  33 -> 40 [size =\"37685248\"]\n  33 -> 41 [size =\"37685248\"]\n  33 -> 42 [size =\"37685248\"]\n  34 [size=\"138919253\", alpha=\"0.16\", expect_size=\"41675776\"] \n  34 -> 36 [size =\"41675776\"]\n  34 -> 37 [size =\"41675776\"]\n  35 [size=\"121265493\", alpha=\"0.12\", expect_size=\"36379648\"] \n  35 -> 44 [size =\"36379648\"]\n  35 -> 45 [size =\"36379648\"]\n  36 [size=\"18793813\", alpha=\"0.04\", expect_size=\"5638144\"] \n  36 -> 43 [size =\"5638144\"]\n  37 [size=\"110912853\", alpha=\"0.15\", expect_size=\"33273856\"] \n  37 -> 43 [size =\"33273856\"]\n  38 [size=\"93095253\", alpha=\"0.04\", expect_size=\"27928576\"] \n  38 -> 43 [size =\"27928576\"]\n  39 [size=\"19927040\", alpha=\"0.18\", expect_size=\"5978112\"] \n  40 [size=\"159986347\", alpha=\"0.04\", expect_size=\"47995904\"] \n  41 [size=\"93545813\", alpha=\"0.08\", expect_size=\"28063744\"] \n  41 -> 44 [size =\"28063744\"]\n  42 [size=\"38498987\", alpha=\"0.02\", expect_size=\"11549696\"] \n  43 [size=\"46916267\", alpha=\"0.13\", expect_size=\"14074880\"] \n  44 [size=\"66734080\", alpha=\"0.19\", expect_size=\"20020224\"] \n  45 [size=\"38714027\", alpha=\"0.14\", expect_size=\"11614208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70707200\", alpha=\"0.20\", expect_size=\"21212160\"] \n  1 -> 42 [size =\"21212160\"]\n  2 [size=\"86381227\", alpha=\"0.13\", expect_size=\"25914368\"] \n  2 -> 41 [size =\"25914368\"]\n  3 [size=\"85131947\", alpha=\"0.09\", expect_size=\"25539584\"] \n  3 -> 40 [size =\"25539584\"]\n  3 -> 41 [size =\"25539584\"]\n  3 -> 43 [size =\"25539584\"]\n  3 -> 45 [size =\"25539584\"]\n  4 [size=\"144274773\", alpha=\"0.09\", expect_size=\"43282432\"] \n  4 -> 37 [size =\"43282432\"]\n  4 -> 40 [size =\"43282432\"]\n  4 -> 43 [size =\"43282432\"]\n  4 -> 44 [size =\"43282432\"]\n  4 -> 45 [size =\"43282432\"]\n  5 [size=\"102273707\", alpha=\"0.16\", expect_size=\"30682112\"] \n  5 -> 40 [size =\"30682112\"]\n  5 -> 41 [size =\"30682112\"]\n  5 -> 43 [size =\"30682112\"]\n  5 -> 44 [size =\"30682112\"]\n  5 -> 45 [size =\"30682112\"]\n  6 [size=\"124020053\", alpha=\"0.16\", expect_size=\"37206016\"] \n  6 -> 37 [size =\"37206016\"]\n  6 -> 39 [size =\"37206016\"]\n  6 -> 40 [size =\"37206016\"]\n  6 -> 42 [size =\"37206016\"]\n  6 -> 44 [size =\"37206016\"]\n  6 -> 45 [size =\"37206016\"]\n  7 [size=\"65017173\", alpha=\"0.03\", expect_size=\"19505152\"] \n  7 -> 37 [size =\"19505152\"]\n  7 -> 44 [size =\"19505152\"]\n  8 [size=\"99143680\", alpha=\"0.13\", expect_size=\"29743104\"] \n  8 -> 40 [size =\"29743104\"]\n  9 [size=\"172328960\", alpha=\"0.11\", expect_size=\"51698688\"] \n  9 -> 41 [size =\"51698688\"]\n  9 -> 43 [size =\"51698688\"]\n  10 [size=\"92470613\", alpha=\"0.07\", expect_size=\"27741184\"] \n  10 -> 37 [size =\"27741184\"]\n  10 -> 40 [size =\"27741184\"]\n  10 -> 41 [size =\"27741184\"]\n  10 -> 43 [size =\"27741184\"]\n  11 [size=\"121992533\", alpha=\"0.07\", expect_size=\"36597760\"] \n  11 -> 37 [size =\"36597760\"]\n  11 -> 40 [size =\"36597760\"]\n  11 -> 44 [size =\"36597760\"]\n  11 -> 45 [size =\"36597760\"]\n  12 [size=\"120913920\", alpha=\"0.11\", expect_size=\"36274176\"] \n  13 [size=\"65150293\", alpha=\"0.12\", expect_size=\"19545088\"] \n  13 -> 37 [size =\"19545088\"]\n  13 -> 38 [size =\"19545088\"]\n  13 -> 39 [size =\"19545088\"]\n  13 -> 45 [size =\"19545088\"]\n  14 [size=\"138499413\", alpha=\"0.11\", expect_size=\"41549824\"] \n  14 -> 39 [size =\"41549824\"]\n  14 -> 45 [size =\"41549824\"]\n  15 [size=\"50950827\", alpha=\"0.01\", expect_size=\"15285248\"] \n  15 -> 37 [size =\"15285248\"]\n  15 -> 43 [size =\"15285248\"]\n  15 -> 45 [size =\"15285248\"]\n  16 [size=\"22603093\", alpha=\"0.06\", expect_size=\"6780928\"] \n  16 -> 36 [size =\"6780928\"]\n  16 -> 38 [size =\"6780928\"]\n  16 -> 40 [size =\"6780928\"]\n  16 -> 41 [size =\"6780928\"]\n  16 -> 44 [size =\"6780928\"]\n  17 [size=\"145701547\", alpha=\"0.04\", expect_size=\"43710464\"] \n  17 -> 38 [size =\"43710464\"]\n  17 -> 39 [size =\"43710464\"]\n  17 -> 40 [size =\"43710464\"]\n  17 -> 44 [size =\"43710464\"]\n  17 -> 44 [size =\"43710464\"]\n  18 [size=\"167082667\", alpha=\"0.12\", expect_size=\"50124800\"] \n  18 -> 37 [size =\"50124800\"]\n  18 -> 41 [size =\"50124800\"]\n  18 -> 44 [size =\"50124800\"]\n  19 [size=\"111953920\", alpha=\"0.01\", expect_size=\"33586176\"] \n  19 -> 37 [size =\"33586176\"]\n  19 -> 40 [size =\"33586176\"]\n  19 -> 41 [size =\"33586176\"]\n  19 -> 43 [size =\"33586176\"]\n  20 [size=\"39574187\", alpha=\"0.07\", expect_size=\"11872256\"] \n  20 -> 41 [size =\"11872256\"]\n  20 -> 43 [size =\"11872256\"]\n  20 -> 45 [size =\"11872256\"]\n  21 [size=\"94532267\", alpha=\"0.19\", expect_size=\"28359680\"] \n  21 -> 37 [size =\"28359680\"]\n  21 -> 43 [size =\"28359680\"]\n  21 -> 44 [size =\"28359680\"]\n  21 -> 45 [size =\"28359680\"]\n  22 [size=\"146916693\", alpha=\"0.01\", expect_size=\"44075008\"] \n  22 -> 38 [size =\"44075008\"]\n  22 -> 43 [size =\"44075008\"]\n  22 -> 44 [size =\"44075008\"]\n  22 -> 45 [size =\"44075008\"]\n  23 [size=\"75554133\", alpha=\"0.10\", expect_size=\"22666240\"] \n  23 -> 38 [size =\"22666240\"]\n  23 -> 40 [size =\"22666240\"]\n  23 -> 42 [size =\"22666240\"]\n  23 -> 45 [size =\"22666240\"]\n  24 [size=\"168618667\", alpha=\"0.16\", expect_size=\"50585600\"] \n  24 -> 40 [size =\"50585600\"]\n  24 -> 41 [size =\"50585600\"]\n  24 -> 43 [size =\"50585600\"]\n  25 [size=\"98515627\", alpha=\"0.13\", expect_size=\"29554688\"] \n  25 -> 41 [size =\"29554688\"]\n  25 -> 45 [size =\"29554688\"]\n  26 [size=\"103611733\", alpha=\"0.04\", expect_size=\"31083520\"] \n  26 -> 37 [size =\"31083520\"]\n  26 -> 45 [size =\"31083520\"]\n  27 [size=\"154163200\", alpha=\"0.00\", expect_size=\"46248960\"] \n  27 -> 40 [size =\"46248960\"]\n  27 -> 43 [size =\"46248960\"]\n  27 -> 44 [size =\"46248960\"]\n  28 [size=\"28013227\", alpha=\"0.07\", expect_size=\"8403968\"] \n  28 -> 37 [size =\"8403968\"]\n  28 -> 41 [size =\"8403968\"]\n  28 -> 45 [size =\"8403968\"]\n  29 [size=\"122432853\", alpha=\"0.13\", expect_size=\"36729856\"] \n  29 -> 37 [size =\"36729856\"]\n  29 -> 41 [size =\"36729856\"]\n  29 -> 43 [size =\"36729856\"]\n  30 [size=\"129682773\", alpha=\"0.09\", expect_size=\"38904832\"] \n  30 -> 37 [size =\"38904832\"]\n  30 -> 45 [size =\"38904832\"]\n  31 [size=\"25009493\", alpha=\"0.19\", expect_size=\"7502848\"] \n  31 -> 37 [size =\"7502848\"]\n  32 [size=\"18923520\", alpha=\"0.01\", expect_size=\"5677056\"] \n  32 -> 37 [size =\"5677056\"]\n  32 -> 43 [size =\"5677056\"]\n  32 -> 44 [size =\"5677056\"]\n  33 [size=\"23053653\", alpha=\"0.10\", expect_size=\"6916096\"] \n  33 -> 37 [size =\"6916096\"]\n  33 -> 39 [size =\"6916096\"]\n  33 -> 43 [size =\"6916096\"]\n  33 -> 44 [size =\"6916096\"]\n  33 -> 45 [size =\"6916096\"]\n  34 [size=\"105052160\", alpha=\"0.13\", expect_size=\"31515648\"] \n  34 -> 38 [size =\"31515648\"]\n  34 -> 39 [size =\"31515648\"]\n  35 [size=\"77148160\", alpha=\"0.02\", expect_size=\"23144448\"] \n  35 -> 38 [size =\"23144448\"]\n  35 -> 41 [size =\"23144448\"]\n  35 -> 42 [size =\"23144448\"]\n  35 -> 43 [size =\"23144448\"]\n  35 -> 44 [size =\"23144448\"]\n  36 [size=\"24142507\", alpha=\"0.10\", expect_size=\"7242752\"] \n  37 [size=\"52578987\", alpha=\"0.16\", expect_size=\"15773696\"] \n  38 [size=\"52715520\", alpha=\"0.20\", expect_size=\"15814656\"] \n  39 [size=\"106216107\", alpha=\"0.16\", expect_size=\"31864832\"] \n  40 [size=\"53367467\", alpha=\"0.15\", expect_size=\"16010240\"] \n  41 [size=\"126446933\", alpha=\"0.04\", expect_size=\"37934080\"] \n  42 [size=\"115404800\", alpha=\"0.09\", expect_size=\"34621440\"] \n  43 [size=\"123675307\", alpha=\"0.01\", expect_size=\"37102592\"] \n  44 [size=\"41649493\", alpha=\"0.13\", expect_size=\"12494848\"] \n  45 [size=\"147640320\", alpha=\"0.15\", expect_size=\"44292096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97472000\", alpha=\"0.03\", expect_size=\"38988800\"] \n  1 -> 6 [size =\"38988800\"]\n  1 -> 7 [size =\"38988800\"]\n  2 [size=\"103424000\", alpha=\"0.10\", expect_size=\"41369600\"] \n  2 -> 7 [size =\"41369600\"]\n  3 [size=\"119009280\", alpha=\"0.04\", expect_size=\"47603712\"] \n  3 -> 7 [size =\"47603712\"]\n  3 -> 8 [size =\"47603712\"]\n  4 [size=\"33843200\", alpha=\"0.19\", expect_size=\"13537280\"] \n  4 -> 5 [size =\"13537280\"]\n  4 -> 6 [size =\"13537280\"]\n  5 [size=\"70351360\", alpha=\"0.15\", expect_size=\"28140544\"] \n  5 -> 10 [size =\"28140544\"]\n  5 -> 13 [size =\"28140544\"]\n  6 [size=\"114741760\", alpha=\"0.08\", expect_size=\"45896704\"] \n  6 -> 9 [size =\"45896704\"]\n  7 [size=\"52800000\", alpha=\"0.12\", expect_size=\"21120000\"] \n  7 -> 9 [size =\"21120000\"]\n  7 -> 11 [size =\"21120000\"]\n  7 -> 12 [size =\"21120000\"]\n  8 [size=\"74403840\", alpha=\"0.12\", expect_size=\"29761536\"] \n  8 -> 11 [size =\"29761536\"]\n  9 [size=\"126661120\", alpha=\"0.19\", expect_size=\"50664448\"] \n  9 -> 16 [size =\"50664448\"]\n  10 [size=\"112358400\", alpha=\"0.14\", expect_size=\"44943360\"] \n  10 -> 14 [size =\"44943360\"]\n  10 -> 15 [size =\"44943360\"]\n  10 -> 17 [size =\"44943360\"]\n  11 [size=\"117066240\", alpha=\"0.04\", expect_size=\"46826496\"] \n  12 [size=\"14251520\", alpha=\"0.15\", expect_size=\"5700608\"] \n  12 -> 17 [size =\"5700608\"]\n  13 [size=\"75648000\", alpha=\"0.08\", expect_size=\"30259200\"] \n  13 -> 14 [size =\"30259200\"]\n  14 [size=\"99671040\", alpha=\"0.11\", expect_size=\"39868416\"] \n  14 -> 18 [size =\"39868416\"]\n  14 -> 19 [size =\"39868416\"]\n  14 -> 20 [size =\"39868416\"]\n  14 -> 21 [size =\"39868416\"]\n  15 [size=\"93094400\", alpha=\"0.01\", expect_size=\"37237760\"] \n  15 -> 18 [size =\"37237760\"]\n  15 -> 19 [size =\"37237760\"]\n  16 [size=\"64576000\", alpha=\"0.14\", expect_size=\"25830400\"] \n  16 -> 22 [size =\"25830400\"]\n  17 [size=\"111797760\", alpha=\"0.18\", expect_size=\"44719104\"] \n  17 -> 18 [size =\"44719104\"]\n  17 -> 20 [size =\"44719104\"]\n  18 [size=\"64627200\", alpha=\"0.03\", expect_size=\"25850880\"] \n  18 -> 25 [size =\"25850880\"]\n  18 -> 26 [size =\"25850880\"]\n  18 -> 28 [size =\"25850880\"]\n  18 -> 29 [size =\"25850880\"]\n  19 [size=\"19013120\", alpha=\"0.11\", expect_size=\"7605248\"] \n  19 -> 23 [size =\"7605248\"]\n  19 -> 24 [size =\"7605248\"]\n  20 [size=\"15930880\", alpha=\"0.17\", expect_size=\"6372352\"] \n  20 -> 25 [size =\"6372352\"]\n  20 -> 28 [size =\"6372352\"]\n  21 [size=\"99537920\", alpha=\"0.17\", expect_size=\"39815168\"] \n  21 -> 27 [size =\"39815168\"]\n  21 -> 29 [size =\"39815168\"]\n  22 [size=\"122352640\", alpha=\"0.13\", expect_size=\"48941056\"] \n  22 -> 25 [size =\"48941056\"]\n  22 -> 26 [size =\"48941056\"]\n  22 -> 27 [size =\"48941056\"]\n  22 -> 29 [size =\"48941056\"]\n  23 [size=\"91653120\", alpha=\"0.07\", expect_size=\"36661248\"] \n  23 -> 32 [size =\"36661248\"]\n  23 -> 34 [size =\"36661248\"]\n  24 [size=\"23505920\", alpha=\"0.04\", expect_size=\"9402368\"] \n  24 -> 32 [size =\"9402368\"]\n  24 -> 33 [size =\"9402368\"]\n  25 [size=\"85834240\", alpha=\"0.11\", expect_size=\"34333696\"] \n  25 -> 31 [size =\"34333696\"]\n  25 -> 33 [size =\"34333696\"]\n  25 -> 35 [size =\"34333696\"]\n  26 [size=\"94080000\", alpha=\"0.16\", expect_size=\"37632000\"] \n  26 -> 30 [size =\"37632000\"]\n  26 -> 31 [size =\"37632000\"]\n  26 -> 32 [size =\"37632000\"]\n  26 -> 33 [size =\"37632000\"]\n  26 -> 35 [size =\"37632000\"]\n  26 -> 36 [size =\"37632000\"]\n  27 [size=\"56122880\", alpha=\"0.07\", expect_size=\"22449152\"] \n  27 -> 31 [size =\"22449152\"]\n  27 -> 33 [size =\"22449152\"]\n  27 -> 35 [size =\"22449152\"]\n  28 [size=\"44761600\", alpha=\"0.08\", expect_size=\"17904640\"] \n  28 -> 32 [size =\"17904640\"]\n  28 -> 33 [size =\"17904640\"]\n  28 -> 36 [size =\"17904640\"]\n  29 [size=\"63144960\", alpha=\"0.09\", expect_size=\"25257984\"] \n  29 -> 30 [size =\"25257984\"]\n  29 -> 36 [size =\"25257984\"]\n  30 [size=\"125928960\", alpha=\"0.06\", expect_size=\"50371584\"] \n  30 -> 38 [size =\"50371584\"]\n  30 -> 39 [size =\"50371584\"]\n  31 [size=\"107555840\", alpha=\"0.01\", expect_size=\"43022336\"] \n  31 -> 37 [size =\"43022336\"]\n  31 -> 38 [size =\"43022336\"]\n  31 -> 42 [size =\"43022336\"]\n  32 [size=\"92392960\", alpha=\"0.17\", expect_size=\"36957184\"] \n  32 -> 41 [size =\"36957184\"]\n  33 [size=\"52797440\", alpha=\"0.02\", expect_size=\"21118976\"] \n  33 -> 37 [size =\"21118976\"]\n  34 [size=\"94668800\", alpha=\"0.03\", expect_size=\"37867520\"] \n  34 -> 39 [size =\"37867520\"]\n  35 [size=\"120783360\", alpha=\"0.17\", expect_size=\"48313344\"] \n  35 -> 38 [size =\"48313344\"]\n  35 -> 39 [size =\"48313344\"]\n  36 [size=\"70417920\", alpha=\"0.00\", expect_size=\"28167168\"] \n  36 -> 38 [size =\"28167168\"]\n  36 -> 39 [size =\"28167168\"]\n  36 -> 40 [size =\"28167168\"]\n  37 [size=\"45212160\", alpha=\"0.20\", expect_size=\"18084864\"] \n  37 -> 43 [size =\"18084864\"]\n  37 -> 45 [size =\"18084864\"]\n  38 [size=\"84858880\", alpha=\"0.08\", expect_size=\"33943552\"] \n  38 -> 43 [size =\"33943552\"]\n  38 -> 44 [size =\"33943552\"]\n  39 [size=\"14727680\", alpha=\"0.17\", expect_size=\"5891072\"] \n  39 -> 43 [size =\"5891072\"]\n  39 -> 44 [size =\"5891072\"]\n  40 [size=\"66334720\", alpha=\"0.07\", expect_size=\"26533888\"] \n  40 -> 44 [size =\"26533888\"]\n  41 [size=\"103006720\", alpha=\"0.12\", expect_size=\"41202688\"] \n  42 [size=\"110735360\", alpha=\"0.15\", expect_size=\"44294144\"] \n  42 -> 45 [size =\"44294144\"]\n  43 [size=\"90667520\", alpha=\"0.11\", expect_size=\"36267008\"] \n  44 [size=\"105344000\", alpha=\"0.09\", expect_size=\"42137600\"] \n  45 [size=\"123366400\", alpha=\"0.19\", expect_size=\"49346560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39651840\", alpha=\"0.13\", expect_size=\"15860736\"] \n  1 -> 11 [size =\"15860736\"]\n  1 -> 13 [size =\"15860736\"]\n  1 -> 17 [size =\"15860736\"]\n  1 -> 22 [size =\"15860736\"]\n  1 -> 25 [size =\"15860736\"]\n  2 [size=\"50941440\", alpha=\"0.08\", expect_size=\"20376576\"] \n  2 -> 11 [size =\"20376576\"]\n  2 -> 17 [size =\"20376576\"]\n  3 [size=\"130918400\", alpha=\"0.11\", expect_size=\"52367360\"] \n  3 -> 12 [size =\"52367360\"]\n  3 -> 13 [size =\"52367360\"]\n  3 -> 18 [size =\"52367360\"]\n  3 -> 21 [size =\"52367360\"]\n  3 -> 22 [size =\"52367360\"]\n  3 -> 24 [size =\"52367360\"]\n  3 -> 26 [size =\"52367360\"]\n  4 [size=\"89100800\", alpha=\"0.06\", expect_size=\"35640320\"] \n  4 -> 13 [size =\"35640320\"]\n  4 -> 14 [size =\"35640320\"]\n  4 -> 15 [size =\"35640320\"]\n  4 -> 17 [size =\"35640320\"]\n  4 -> 18 [size =\"35640320\"]\n  4 -> 19 [size =\"35640320\"]\n  4 -> 20 [size =\"35640320\"]\n  4 -> 24 [size =\"35640320\"]\n  4 -> 25 [size =\"35640320\"]\n  4 -> 27 [size =\"35640320\"]\n  5 [size=\"17722880\", alpha=\"0.11\", expect_size=\"7089152\"] \n  5 -> 15 [size =\"7089152\"]\n  5 -> 18 [size =\"7089152\"]\n  5 -> 20 [size =\"7089152\"]\n  5 -> 25 [size =\"7089152\"]\n  5 -> 27 [size =\"7089152\"]\n  6 [size=\"62896640\", alpha=\"0.12\", expect_size=\"25158656\"] \n  6 -> 12 [size =\"25158656\"]\n  6 -> 13 [size =\"25158656\"]\n  6 -> 14 [size =\"25158656\"]\n  6 -> 15 [size =\"25158656\"]\n  6 -> 24 [size =\"25158656\"]\n  6 -> 26 [size =\"25158656\"]\n  6 -> 27 [size =\"25158656\"]\n  7 [size=\"64808960\", alpha=\"0.16\", expect_size=\"25923584\"] \n  7 -> 12 [size =\"25923584\"]\n  7 -> 13 [size =\"25923584\"]\n  7 -> 15 [size =\"25923584\"]\n  7 -> 19 [size =\"25923584\"]\n  7 -> 23 [size =\"25923584\"]\n  7 -> 26 [size =\"25923584\"]\n  7 -> 28 [size =\"25923584\"]\n  8 [size=\"78771200\", alpha=\"0.04\", expect_size=\"31508480\"] \n  8 -> 13 [size =\"31508480\"]\n  8 -> 15 [size =\"31508480\"]\n  8 -> 17 [size =\"31508480\"]\n  8 -> 19 [size =\"31508480\"]\n  8 -> 21 [size =\"31508480\"]\n  8 -> 22 [size =\"31508480\"]\n  8 -> 23 [size =\"31508480\"]\n  8 -> 24 [size =\"31508480\"]\n  8 -> 26 [size =\"31508480\"]\n  9 [size=\"60121600\", alpha=\"0.05\", expect_size=\"24048640\"] \n  9 -> 11 [size =\"24048640\"]\n  9 -> 16 [size =\"24048640\"]\n  9 -> 17 [size =\"24048640\"]\n  9 -> 18 [size =\"24048640\"]\n  9 -> 22 [size =\"24048640\"]\n  9 -> 23 [size =\"24048640\"]\n  9 -> 23 [size =\"24048640\"]\n  9 -> 26 [size =\"24048640\"]\n  10 [size=\"88601600\", alpha=\"0.06\", expect_size=\"35440640\"] \n  10 -> 11 [size =\"35440640\"]\n  10 -> 15 [size =\"35440640\"]\n  10 -> 17 [size =\"35440640\"]\n  10 -> 18 [size =\"35440640\"]\n  10 -> 22 [size =\"35440640\"]\n  10 -> 23 [size =\"35440640\"]\n  10 -> 28 [size =\"35440640\"]\n  11 [size=\"119516160\", alpha=\"0.12\", expect_size=\"47806464\"] \n  11 -> 30 [size =\"47806464\"]\n  12 [size=\"78807040\", alpha=\"0.15\", expect_size=\"31522816\"] \n  12 -> 30 [size =\"31522816\"]\n  12 -> 31 [size =\"31522816\"]\n  12 -> 32 [size =\"31522816\"]\n  13 [size=\"123776000\", alpha=\"0.14\", expect_size=\"49510400\"] \n  13 -> 31 [size =\"49510400\"]\n  13 -> 35 [size =\"49510400\"]\n  14 [size=\"72376320\", alpha=\"0.14\", expect_size=\"28950528\"] \n  14 -> 32 [size =\"28950528\"]\n  14 -> 33 [size =\"28950528\"]\n  15 [size=\"109214720\", alpha=\"0.08\", expect_size=\"43685888\"] \n  15 -> 31 [size =\"43685888\"]\n  15 -> 33 [size =\"43685888\"]\n  16 [size=\"56908800\", alpha=\"0.20\", expect_size=\"22763520\"] \n  16 -> 31 [size =\"22763520\"]\n  16 -> 35 [size =\"22763520\"]\n  17 [size=\"126156800\", alpha=\"0.10\", expect_size=\"50462720\"] \n  17 -> 31 [size =\"50462720\"]\n  17 -> 33 [size =\"50462720\"]\n  17 -> 35 [size =\"50462720\"]\n  18 [size=\"104056320\", alpha=\"0.06\", expect_size=\"41622528\"] \n  18 -> 30 [size =\"41622528\"]\n  18 -> 31 [size =\"41622528\"]\n  18 -> 34 [size =\"41622528\"]\n  18 -> 35 [size =\"41622528\"]\n  19 [size=\"129730560\", alpha=\"0.00\", expect_size=\"51892224\"] \n  19 -> 30 [size =\"51892224\"]\n  19 -> 31 [size =\"51892224\"]\n  20 [size=\"40038400\", alpha=\"0.11\", expect_size=\"16015360\"] \n  21 [size=\"73681920\", alpha=\"0.07\", expect_size=\"29472768\"] \n  21 -> 29 [size =\"29472768\"]\n  21 -> 30 [size =\"29472768\"]\n  21 -> 35 [size =\"29472768\"]\n  22 [size=\"26764800\", alpha=\"0.09\", expect_size=\"10705920\"] \n  22 -> 31 [size =\"10705920\"]\n  22 -> 32 [size =\"10705920\"]\n  22 -> 35 [size =\"10705920\"]\n  23 [size=\"115130880\", alpha=\"0.10\", expect_size=\"46052352\"] \n  23 -> 31 [size =\"46052352\"]\n  23 -> 32 [size =\"46052352\"]\n  23 -> 35 [size =\"46052352\"]\n  24 [size=\"79311360\", alpha=\"0.05\", expect_size=\"31724544\"] \n  24 -> 30 [size =\"31724544\"]\n  24 -> 35 [size =\"31724544\"]\n  25 [size=\"43215360\", alpha=\"0.01\", expect_size=\"17286144\"] \n  25 -> 30 [size =\"17286144\"]\n  26 [size=\"92631040\", alpha=\"0.05\", expect_size=\"37052416\"] \n  26 -> 30 [size =\"37052416\"]\n  26 -> 31 [size =\"37052416\"]\n  26 -> 33 [size =\"37052416\"]\n  27 [size=\"92518400\", alpha=\"0.17\", expect_size=\"37007360\"] \n  27 -> 30 [size =\"37007360\"]\n  28 [size=\"32225280\", alpha=\"0.01\", expect_size=\"12890112\"] \n  28 -> 30 [size =\"12890112\"]\n  28 -> 32 [size =\"12890112\"]\n  29 [size=\"67130880\", alpha=\"0.13\", expect_size=\"26852352\"] \n  29 -> 37 [size =\"26852352\"]\n  29 -> 39 [size =\"26852352\"]\n  29 -> 40 [size =\"26852352\"]\n  29 -> 42 [size =\"26852352\"]\n  29 -> 44 [size =\"26852352\"]\n  30 [size=\"68113920\", alpha=\"0.18\", expect_size=\"27245568\"] \n  30 -> 36 [size =\"27245568\"]\n  30 -> 39 [size =\"27245568\"]\n  30 -> 40 [size =\"27245568\"]\n  30 -> 44 [size =\"27245568\"]\n  31 [size=\"15864320\", alpha=\"0.00\", expect_size=\"6345728\"] \n  31 -> 36 [size =\"6345728\"]\n  31 -> 38 [size =\"6345728\"]\n  31 -> 39 [size =\"6345728\"]\n  31 -> 43 [size =\"6345728\"]\n  31 -> 45 [size =\"6345728\"]\n  32 [size=\"54891520\", alpha=\"0.14\", expect_size=\"21956608\"] \n  32 -> 38 [size =\"21956608\"]\n  32 -> 39 [size =\"21956608\"]\n  32 -> 40 [size =\"21956608\"]\n  32 -> 44 [size =\"21956608\"]\n  32 -> 45 [size =\"21956608\"]\n  33 [size=\"105070080\", alpha=\"0.07\", expect_size=\"42028032\"] \n  33 -> 38 [size =\"42028032\"]\n  33 -> 40 [size =\"42028032\"]\n  34 [size=\"48279040\", alpha=\"0.09\", expect_size=\"19311616\"] \n  34 -> 39 [size =\"19311616\"]\n  34 -> 41 [size =\"19311616\"]\n  34 -> 43 [size =\"19311616\"]\n  35 [size=\"78479360\", alpha=\"0.08\", expect_size=\"31391744\"] \n  35 -> 37 [size =\"31391744\"]\n  35 -> 38 [size =\"31391744\"]\n  35 -> 44 [size =\"31391744\"]\n  36 [size=\"82324480\", alpha=\"0.15\", expect_size=\"32929792\"] \n  37 [size=\"109603840\", alpha=\"0.00\", expect_size=\"43841536\"] \n  38 [size=\"94056960\", alpha=\"0.01\", expect_size=\"37622784\"] \n  39 [size=\"101347840\", alpha=\"0.02\", expect_size=\"40539136\"] \n  40 [size=\"60528640\", alpha=\"0.07\", expect_size=\"24211456\"] \n  41 [size=\"47093760\", alpha=\"0.03\", expect_size=\"18837504\"] \n  42 [size=\"49487360\", alpha=\"0.01\", expect_size=\"19794944\"] \n  43 [size=\"15449600\", alpha=\"0.16\", expect_size=\"6179840\"] \n  44 [size=\"55644160\", alpha=\"0.02\", expect_size=\"22257664\"] \n  45 [size=\"111383040\", alpha=\"0.14\", expect_size=\"44553216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20144640\", alpha=\"0.18\", expect_size=\"8057856\"] \n  1 -> 25 [size =\"8057856\"]\n  1 -> 26 [size =\"8057856\"]\n  1 -> 27 [size =\"8057856\"]\n  1 -> 29 [size =\"8057856\"]\n  1 -> 30 [size =\"8057856\"]\n  1 -> 31 [size =\"8057856\"]\n  1 -> 32 [size =\"8057856\"]\n  1 -> 34 [size =\"8057856\"]\n  1 -> 35 [size =\"8057856\"]\n  1 -> 38 [size =\"8057856\"]\n  1 -> 39 [size =\"8057856\"]\n  1 -> 40 [size =\"8057856\"]\n  1 -> 45 [size =\"8057856\"]\n  2 [size=\"101634560\", alpha=\"0.03\", expect_size=\"40653824\"] \n  2 -> 22 [size =\"40653824\"]\n  2 -> 24 [size =\"40653824\"]\n  2 -> 26 [size =\"40653824\"]\n  2 -> 28 [size =\"40653824\"]\n  2 -> 29 [size =\"40653824\"]\n  2 -> 31 [size =\"40653824\"]\n  2 -> 32 [size =\"40653824\"]\n  2 -> 33 [size =\"40653824\"]\n  2 -> 34 [size =\"40653824\"]\n  2 -> 35 [size =\"40653824\"]\n  2 -> 37 [size =\"40653824\"]\n  2 -> 38 [size =\"40653824\"]\n  2 -> 41 [size =\"40653824\"]\n  2 -> 45 [size =\"40653824\"]\n  3 [size=\"54586880\", alpha=\"0.09\", expect_size=\"21834752\"] \n  3 -> 29 [size =\"21834752\"]\n  3 -> 33 [size =\"21834752\"]\n  3 -> 34 [size =\"21834752\"]\n  3 -> 35 [size =\"21834752\"]\n  3 -> 38 [size =\"21834752\"]\n  3 -> 39 [size =\"21834752\"]\n  3 -> 41 [size =\"21834752\"]\n  3 -> 45 [size =\"21834752\"]\n  4 [size=\"107947520\", alpha=\"0.00\", expect_size=\"43179008\"] \n  4 -> 25 [size =\"43179008\"]\n  4 -> 27 [size =\"43179008\"]\n  4 -> 28 [size =\"43179008\"]\n  4 -> 29 [size =\"43179008\"]\n  4 -> 30 [size =\"43179008\"]\n  4 -> 31 [size =\"43179008\"]\n  4 -> 32 [size =\"43179008\"]\n  4 -> 33 [size =\"43179008\"]\n  4 -> 34 [size =\"43179008\"]\n  4 -> 35 [size =\"43179008\"]\n  4 -> 38 [size =\"43179008\"]\n  4 -> 39 [size =\"43179008\"]\n  4 -> 43 [size =\"43179008\"]\n  4 -> 45 [size =\"43179008\"]\n  5 [size=\"121208320\", alpha=\"0.15\", expect_size=\"48483328\"] \n  5 -> 22 [size =\"48483328\"]\n  5 -> 25 [size =\"48483328\"]\n  5 -> 26 [size =\"48483328\"]\n  5 -> 27 [size =\"48483328\"]\n  5 -> 28 [size =\"48483328\"]\n  5 -> 29 [size =\"48483328\"]\n  5 -> 30 [size =\"48483328\"]\n  5 -> 32 [size =\"48483328\"]\n  5 -> 33 [size =\"48483328\"]\n  5 -> 34 [size =\"48483328\"]\n  5 -> 38 [size =\"48483328\"]\n  5 -> 42 [size =\"48483328\"]\n  5 -> 43 [size =\"48483328\"]\n  5 -> 45 [size =\"48483328\"]\n  6 [size=\"122073600\", alpha=\"0.16\", expect_size=\"48829440\"] \n  6 -> 26 [size =\"48829440\"]\n  6 -> 27 [size =\"48829440\"]\n  6 -> 28 [size =\"48829440\"]\n  6 -> 29 [size =\"48829440\"]\n  6 -> 30 [size =\"48829440\"]\n  6 -> 31 [size =\"48829440\"]\n  6 -> 33 [size =\"48829440\"]\n  6 -> 34 [size =\"48829440\"]\n  6 -> 38 [size =\"48829440\"]\n  6 -> 41 [size =\"48829440\"]\n  6 -> 43 [size =\"48829440\"]\n  6 -> 45 [size =\"48829440\"]\n  7 [size=\"95365120\", alpha=\"0.17\", expect_size=\"38146048\"] \n  7 -> 24 [size =\"38146048\"]\n  7 -> 25 [size =\"38146048\"]\n  7 -> 26 [size =\"38146048\"]\n  7 -> 27 [size =\"38146048\"]\n  7 -> 29 [size =\"38146048\"]\n  7 -> 30 [size =\"38146048\"]\n  7 -> 31 [size =\"38146048\"]\n  7 -> 37 [size =\"38146048\"]\n  7 -> 38 [size =\"38146048\"]\n  7 -> 41 [size =\"38146048\"]\n  7 -> 43 [size =\"38146048\"]\n  7 -> 45 [size =\"38146048\"]\n  8 [size=\"18196480\", alpha=\"0.16\", expect_size=\"7278592\"] \n  8 -> 21 [size =\"7278592\"]\n  8 -> 26 [size =\"7278592\"]\n  8 -> 26 [size =\"7278592\"]\n  8 -> 27 [size =\"7278592\"]\n  8 -> 29 [size =\"7278592\"]\n  8 -> 30 [size =\"7278592\"]\n  8 -> 32 [size =\"7278592\"]\n  8 -> 33 [size =\"7278592\"]\n  8 -> 34 [size =\"7278592\"]\n  8 -> 35 [size =\"7278592\"]\n  8 -> 36 [size =\"7278592\"]\n  8 -> 38 [size =\"7278592\"]\n  8 -> 39 [size =\"7278592\"]\n  8 -> 41 [size =\"7278592\"]\n  8 -> 45 [size =\"7278592\"]\n  9 [size=\"66114560\", alpha=\"0.16\", expect_size=\"26445824\"] \n  9 -> 21 [size =\"26445824\"]\n  9 -> 23 [size =\"26445824\"]\n  9 -> 25 [size =\"26445824\"]\n  9 -> 27 [size =\"26445824\"]\n  9 -> 30 [size =\"26445824\"]\n  9 -> 31 [size =\"26445824\"]\n  9 -> 32 [size =\"26445824\"]\n  9 -> 33 [size =\"26445824\"]\n  9 -> 34 [size =\"26445824\"]\n  9 -> 38 [size =\"26445824\"]\n  9 -> 42 [size =\"26445824\"]\n  9 -> 43 [size =\"26445824\"]\n  9 -> 45 [size =\"26445824\"]\n  10 [size=\"73597440\", alpha=\"0.20\", expect_size=\"29438976\"] \n  10 -> 21 [size =\"29438976\"]\n  10 -> 23 [size =\"29438976\"]\n  10 -> 24 [size =\"29438976\"]\n  10 -> 25 [size =\"29438976\"]\n  10 -> 26 [size =\"29438976\"]\n  10 -> 27 [size =\"29438976\"]\n  10 -> 30 [size =\"29438976\"]\n  10 -> 35 [size =\"29438976\"]\n  10 -> 38 [size =\"29438976\"]\n  10 -> 38 [size =\"29438976\"]\n  10 -> 43 [size =\"29438976\"]\n  10 -> 43 [size =\"29438976\"]\n  10 -> 45 [size =\"29438976\"]\n  11 [size=\"51665920\", alpha=\"0.17\", expect_size=\"20666368\"] \n  11 -> 23 [size =\"20666368\"]\n  11 -> 24 [size =\"20666368\"]\n  11 -> 25 [size =\"20666368\"]\n  11 -> 26 [size =\"20666368\"]\n  11 -> 27 [size =\"20666368\"]\n  11 -> 27 [size =\"20666368\"]\n  11 -> 29 [size =\"20666368\"]\n  11 -> 30 [size =\"20666368\"]\n  11 -> 31 [size =\"20666368\"]\n  11 -> 32 [size =\"20666368\"]\n  11 -> 33 [size =\"20666368\"]\n  11 -> 35 [size =\"20666368\"]\n  11 -> 38 [size =\"20666368\"]\n  11 -> 39 [size =\"20666368\"]\n  11 -> 43 [size =\"20666368\"]\n  11 -> 45 [size =\"20666368\"]\n  12 [size=\"42170880\", alpha=\"0.04\", expect_size=\"16868352\"] \n  12 -> 23 [size =\"16868352\"]\n  12 -> 26 [size =\"16868352\"]\n  12 -> 27 [size =\"16868352\"]\n  12 -> 29 [size =\"16868352\"]\n  12 -> 30 [size =\"16868352\"]\n  12 -> 31 [size =\"16868352\"]\n  12 -> 33 [size =\"16868352\"]\n  12 -> 34 [size =\"16868352\"]\n  12 -> 35 [size =\"16868352\"]\n  12 -> 38 [size =\"16868352\"]\n  12 -> 39 [size =\"16868352\"]\n  12 -> 43 [size =\"16868352\"]\n  12 -> 45 [size =\"16868352\"]\n  13 [size=\"61923840\", alpha=\"0.07\", expect_size=\"24769536\"] \n  13 -> 23 [size =\"24769536\"]\n  13 -> 26 [size =\"24769536\"]\n  13 -> 27 [size =\"24769536\"]\n  13 -> 29 [size =\"24769536\"]\n  13 -> 30 [size =\"24769536\"]\n  13 -> 33 [size =\"24769536\"]\n  13 -> 33 [size =\"24769536\"]\n  13 -> 34 [size =\"24769536\"]\n  13 -> 38 [size =\"24769536\"]\n  13 -> 38 [size =\"24769536\"]\n  13 -> 44 [size =\"24769536\"]\n  13 -> 45 [size =\"24769536\"]\n  14 [size=\"117578240\", alpha=\"0.13\", expect_size=\"47031296\"] \n  14 -> 23 [size =\"47031296\"]\n  14 -> 24 [size =\"47031296\"]\n  14 -> 25 [size =\"47031296\"]\n  14 -> 26 [size =\"47031296\"]\n  14 -> 27 [size =\"47031296\"]\n  14 -> 29 [size =\"47031296\"]\n  14 -> 32 [size =\"47031296\"]\n  14 -> 33 [size =\"47031296\"]\n  14 -> 34 [size =\"47031296\"]\n  14 -> 39 [size =\"47031296\"]\n  14 -> 40 [size =\"47031296\"]\n  14 -> 44 [size =\"47031296\"]\n  14 -> 45 [size =\"47031296\"]\n  15 [size=\"118328320\", alpha=\"0.08\", expect_size=\"47331328\"] \n  15 -> 25 [size =\"47331328\"]\n  15 -> 26 [size =\"47331328\"]\n  15 -> 30 [size =\"47331328\"]\n  15 -> 31 [size =\"47331328\"]\n  15 -> 32 [size =\"47331328\"]\n  15 -> 33 [size =\"47331328\"]\n  15 -> 34 [size =\"47331328\"]\n  15 -> 35 [size =\"47331328\"]\n  15 -> 39 [size =\"47331328\"]\n  15 -> 41 [size =\"47331328\"]\n  15 -> 43 [size =\"47331328\"]\n  15 -> 44 [size =\"47331328\"]\n  15 -> 45 [size =\"47331328\"]\n  16 [size=\"88750080\", alpha=\"0.07\", expect_size=\"35500032\"] \n  16 -> 25 [size =\"35500032\"]\n  16 -> 30 [size =\"35500032\"]\n  16 -> 32 [size =\"35500032\"]\n  16 -> 33 [size =\"35500032\"]\n  16 -> 34 [size =\"35500032\"]\n  16 -> 35 [size =\"35500032\"]\n  16 -> 38 [size =\"35500032\"]\n  16 -> 39 [size =\"35500032\"]\n  16 -> 43 [size =\"35500032\"]\n  16 -> 44 [size =\"35500032\"]\n  16 -> 45 [size =\"35500032\"]\n  17 [size=\"63498240\", alpha=\"0.16\", expect_size=\"25399296\"] \n  17 -> 22 [size =\"25399296\"]\n  17 -> 24 [size =\"25399296\"]\n  17 -> 25 [size =\"25399296\"]\n  17 -> 26 [size =\"25399296\"]\n  17 -> 27 [size =\"25399296\"]\n  17 -> 30 [size =\"25399296\"]\n  17 -> 31 [size =\"25399296\"]\n  17 -> 32 [size =\"25399296\"]\n  17 -> 33 [size =\"25399296\"]\n  17 -> 34 [size =\"25399296\"]\n  17 -> 35 [size =\"25399296\"]\n  17 -> 38 [size =\"25399296\"]\n  17 -> 39 [size =\"25399296\"]\n  17 -> 41 [size =\"25399296\"]\n  17 -> 43 [size =\"25399296\"]\n  17 -> 44 [size =\"25399296\"]\n  18 [size=\"44032000\", alpha=\"0.12\", expect_size=\"17612800\"] \n  18 -> 25 [size =\"17612800\"]\n  18 -> 26 [size =\"17612800\"]\n  18 -> 29 [size =\"17612800\"]\n  18 -> 31 [size =\"17612800\"]\n  18 -> 32 [size =\"17612800\"]\n  18 -> 33 [size =\"17612800\"]\n  18 -> 34 [size =\"17612800\"]\n  18 -> 35 [size =\"17612800\"]\n  18 -> 40 [size =\"17612800\"]\n  18 -> 41 [size =\"17612800\"]\n  18 -> 42 [size =\"17612800\"]\n  18 -> 43 [size =\"17612800\"]\n  18 -> 44 [size =\"17612800\"]\n  19 [size=\"22187520\", alpha=\"0.20\", expect_size=\"8875008\"] \n  19 -> 25 [size =\"8875008\"]\n  19 -> 30 [size =\"8875008\"]\n  19 -> 32 [size =\"8875008\"]\n  19 -> 34 [size =\"8875008\"]\n  19 -> 35 [size =\"8875008\"]\n  19 -> 36 [size =\"8875008\"]\n  19 -> 39 [size =\"8875008\"]\n  19 -> 40 [size =\"8875008\"]\n  19 -> 41 [size =\"8875008\"]\n  19 -> 43 [size =\"8875008\"]\n  20 [size=\"118356480\", alpha=\"0.01\", expect_size=\"47342592\"] \n  20 -> 25 [size =\"47342592\"]\n  20 -> 26 [size =\"47342592\"]\n  20 -> 29 [size =\"47342592\"]\n  20 -> 31 [size =\"47342592\"]\n  20 -> 32 [size =\"47342592\"]\n  20 -> 34 [size =\"47342592\"]\n  20 -> 35 [size =\"47342592\"]\n  20 -> 38 [size =\"47342592\"]\n  20 -> 40 [size =\"47342592\"]\n  21 [size=\"117905920\", alpha=\"0.04\", expect_size=\"47162368\"] \n  22 [size=\"102548480\", alpha=\"0.02\", expect_size=\"41019392\"] \n  23 [size=\"123484160\", alpha=\"0.07\", expect_size=\"49393664\"] \n  24 [size=\"44902400\", alpha=\"0.08\", expect_size=\"17960960\"] \n  25 [size=\"122775040\", alpha=\"0.07\", expect_size=\"49110016\"] \n  26 [size=\"49280000\", alpha=\"0.05\", expect_size=\"19712000\"] \n  27 [size=\"93327360\", alpha=\"0.17\", expect_size=\"37330944\"] \n  28 [size=\"69288960\", alpha=\"0.09\", expect_size=\"27715584\"] \n  29 [size=\"19368960\", alpha=\"0.11\", expect_size=\"7747584\"] \n  30 [size=\"16616960\", alpha=\"0.03\", expect_size=\"6646784\"] \n  31 [size=\"23782400\", alpha=\"0.01\", expect_size=\"9512960\"] \n  32 [size=\"47900160\", alpha=\"0.05\", expect_size=\"19160064\"] \n  33 [size=\"59532800\", alpha=\"0.16\", expect_size=\"23813120\"] \n  34 [size=\"100165120\", alpha=\"0.05\", expect_size=\"40066048\"] \n  35 [size=\"28707840\", alpha=\"0.13\", expect_size=\"11483136\"] \n  36 [size=\"71226880\", alpha=\"0.13\", expect_size=\"28490752\"] \n  37 [size=\"100759040\", alpha=\"0.01\", expect_size=\"40303616\"] \n  38 [size=\"81602560\", alpha=\"0.15\", expect_size=\"32641024\"] \n  39 [size=\"18844160\", alpha=\"0.10\", expect_size=\"7537664\"] \n  40 [size=\"83461120\", alpha=\"0.03\", expect_size=\"33384448\"] \n  41 [size=\"100011520\", alpha=\"0.14\", expect_size=\"40004608\"] \n  42 [size=\"107054080\", alpha=\"0.00\", expect_size=\"42821632\"] \n  43 [size=\"15692800\", alpha=\"0.05\", expect_size=\"6277120\"] \n  44 [size=\"110673920\", alpha=\"0.15\", expect_size=\"44269568\"] \n  45 [size=\"24611840\", alpha=\"0.04\", expect_size=\"9844736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24514560\", alpha=\"0.08\", expect_size=\"9805824\"] \n  1 -> 16 [size =\"9805824\"]\n  1 -> 18 [size =\"9805824\"]\n  1 -> 21 [size =\"9805824\"]\n  2 [size=\"62059520\", alpha=\"0.01\", expect_size=\"24823808\"] \n  2 -> 18 [size =\"24823808\"]\n  2 -> 19 [size =\"24823808\"]\n  2 -> 21 [size =\"24823808\"]\n  2 -> 22 [size =\"24823808\"]\n  2 -> 23 [size =\"24823808\"]\n  2 -> 24 [size =\"24823808\"]\n  3 [size=\"74744320\", alpha=\"0.17\", expect_size=\"29897728\"] \n  3 -> 18 [size =\"29897728\"]\n  3 -> 23 [size =\"29897728\"]\n  3 -> 24 [size =\"29897728\"]\n  3 -> 26 [size =\"29897728\"]\n  4 [size=\"101982720\", alpha=\"0.15\", expect_size=\"40793088\"] \n  4 -> 18 [size =\"40793088\"]\n  4 -> 23 [size =\"40793088\"]\n  5 [size=\"61345280\", alpha=\"0.09\", expect_size=\"24538112\"] \n  5 -> 15 [size =\"24538112\"]\n  5 -> 16 [size =\"24538112\"]\n  5 -> 20 [size =\"24538112\"]\n  5 -> 22 [size =\"24538112\"]\n  5 -> 24 [size =\"24538112\"]\n  5 -> 25 [size =\"24538112\"]\n  6 [size=\"101982720\", alpha=\"0.04\", expect_size=\"40793088\"] \n  6 -> 15 [size =\"40793088\"]\n  6 -> 16 [size =\"40793088\"]\n  6 -> 23 [size =\"40793088\"]\n  7 [size=\"113712640\", alpha=\"0.16\", expect_size=\"45485056\"] \n  7 -> 14 [size =\"45485056\"]\n  7 -> 16 [size =\"45485056\"]\n  7 -> 20 [size =\"45485056\"]\n  7 -> 21 [size =\"45485056\"]\n  7 -> 23 [size =\"45485056\"]\n  7 -> 24 [size =\"45485056\"]\n  8 [size=\"16135680\", alpha=\"0.12\", expect_size=\"6454272\"] \n  8 -> 20 [size =\"6454272\"]\n  8 -> 21 [size =\"6454272\"]\n  8 -> 25 [size =\"6454272\"]\n  9 [size=\"24407040\", alpha=\"0.10\", expect_size=\"9762816\"] \n  9 -> 16 [size =\"9762816\"]\n  9 -> 25 [size =\"9762816\"]\n  10 [size=\"78699520\", alpha=\"0.03\", expect_size=\"31479808\"] \n  10 -> 14 [size =\"31479808\"]\n  10 -> 17 [size =\"31479808\"]\n  10 -> 24 [size =\"31479808\"]\n  11 [size=\"126446080\", alpha=\"0.18\", expect_size=\"50578432\"] \n  11 -> 21 [size =\"50578432\"]\n  11 -> 25 [size =\"50578432\"]\n  12 [size=\"53299200\", alpha=\"0.03\", expect_size=\"21319680\"] \n  12 -> 19 [size =\"21319680\"]\n  12 -> 20 [size =\"21319680\"]\n  12 -> 21 [size =\"21319680\"]\n  12 -> 22 [size =\"21319680\"]\n  12 -> 23 [size =\"21319680\"]\n  12 -> 24 [size =\"21319680\"]\n  13 [size=\"59691520\", alpha=\"0.09\", expect_size=\"23876608\"] \n  13 -> 15 [size =\"23876608\"]\n  14 [size=\"44515840\", alpha=\"0.09\", expect_size=\"17806336\"] \n  14 -> 30 [size =\"17806336\"]\n  14 -> 31 [size =\"17806336\"]\n  14 -> 31 [size =\"17806336\"]\n  14 -> 34 [size =\"17806336\"]\n  15 [size=\"13493760\", alpha=\"0.04\", expect_size=\"5397504\"] \n  15 -> 35 [size =\"5397504\"]\n  15 -> 37 [size =\"5397504\"]\n  16 [size=\"66557440\", alpha=\"0.19\", expect_size=\"26622976\"] \n  16 -> 28 [size =\"26622976\"]\n  16 -> 32 [size =\"26622976\"]\n  16 -> 33 [size =\"26622976\"]\n  17 [size=\"90606080\", alpha=\"0.13\", expect_size=\"36242432\"] \n  17 -> 28 [size =\"36242432\"]\n  17 -> 34 [size =\"36242432\"]\n  17 -> 37 [size =\"36242432\"]\n  18 [size=\"64913920\", alpha=\"0.18\", expect_size=\"25965568\"] \n  18 -> 29 [size =\"25965568\"]\n  18 -> 30 [size =\"25965568\"]\n  18 -> 35 [size =\"25965568\"]\n  18 -> 38 [size =\"25965568\"]\n  18 -> 40 [size =\"25965568\"]\n  19 [size=\"20249600\", alpha=\"0.05\", expect_size=\"8099840\"] \n  19 -> 28 [size =\"8099840\"]\n  19 -> 40 [size =\"8099840\"]\n  20 [size=\"77731840\", alpha=\"0.16\", expect_size=\"31092736\"] \n  20 -> 27 [size =\"31092736\"]\n  20 -> 35 [size =\"31092736\"]\n  21 [size=\"94428160\", alpha=\"0.08\", expect_size=\"37771264\"] \n  21 -> 29 [size =\"37771264\"]\n  22 [size=\"83151360\", alpha=\"0.09\", expect_size=\"33260544\"] \n  22 -> 27 [size =\"33260544\"]\n  22 -> 28 [size =\"33260544\"]\n  22 -> 29 [size =\"33260544\"]\n  22 -> 30 [size =\"33260544\"]\n  22 -> 31 [size =\"33260544\"]\n  22 -> 32 [size =\"33260544\"]\n  22 -> 33 [size =\"33260544\"]\n  23 [size=\"102878720\", alpha=\"0.00\", expect_size=\"41151488\"] \n  23 -> 28 [size =\"41151488\"]\n  23 -> 29 [size =\"41151488\"]\n  23 -> 30 [size =\"41151488\"]\n  23 -> 31 [size =\"41151488\"]\n  23 -> 33 [size =\"41151488\"]\n  24 [size=\"37335040\", alpha=\"0.06\", expect_size=\"14934016\"] \n  24 -> 31 [size =\"14934016\"]\n  24 -> 33 [size =\"14934016\"]\n  24 -> 37 [size =\"14934016\"]\n  24 -> 39 [size =\"14934016\"]\n  25 [size=\"88363520\", alpha=\"0.01\", expect_size=\"35345408\"] \n  25 -> 31 [size =\"35345408\"]\n  25 -> 33 [size =\"35345408\"]\n  25 -> 34 [size =\"35345408\"]\n  26 [size=\"111339520\", alpha=\"0.10\", expect_size=\"44535808\"] \n  26 -> 28 [size =\"44535808\"]\n  26 -> 29 [size =\"44535808\"]\n  26 -> 31 [size =\"44535808\"]\n  26 -> 36 [size =\"44535808\"]\n  26 -> 40 [size =\"44535808\"]\n  27 [size=\"103098880\", alpha=\"0.17\", expect_size=\"41239552\"] \n  27 -> 43 [size =\"41239552\"]\n  28 [size=\"64724480\", alpha=\"0.04\", expect_size=\"25889792\"] \n  28 -> 45 [size =\"25889792\"]\n  29 [size=\"54824960\", alpha=\"0.13\", expect_size=\"21929984\"] \n  29 -> 42 [size =\"21929984\"]\n  29 -> 45 [size =\"21929984\"]\n  30 [size=\"87114240\", alpha=\"0.13\", expect_size=\"34845696\"] \n  30 -> 42 [size =\"34845696\"]\n  30 -> 43 [size =\"34845696\"]\n  30 -> 45 [size =\"34845696\"]\n  31 [size=\"63162880\", alpha=\"0.12\", expect_size=\"25265152\"] \n  31 -> 42 [size =\"25265152\"]\n  31 -> 43 [size =\"25265152\"]\n  31 -> 45 [size =\"25265152\"]\n  32 [size=\"112345600\", alpha=\"0.18\", expect_size=\"44938240\"] \n  32 -> 41 [size =\"44938240\"]\n  32 -> 43 [size =\"44938240\"]\n  32 -> 44 [size =\"44938240\"]\n  32 -> 45 [size =\"44938240\"]\n  33 [size=\"47690240\", alpha=\"0.12\", expect_size=\"19076096\"] \n  33 -> 41 [size =\"19076096\"]\n  33 -> 43 [size =\"19076096\"]\n  33 -> 44 [size =\"19076096\"]\n  34 [size=\"48796160\", alpha=\"0.12\", expect_size=\"19518464\"] \n  34 -> 41 [size =\"19518464\"]\n  34 -> 43 [size =\"19518464\"]\n  35 [size=\"86579200\", alpha=\"0.11\", expect_size=\"34631680\"] \n  36 [size=\"91315200\", alpha=\"0.19\", expect_size=\"36526080\"] \n  37 [size=\"33912320\", alpha=\"0.01\", expect_size=\"13564928\"] \n  37 -> 41 [size =\"13564928\"]\n  38 [size=\"14978560\", alpha=\"0.11\", expect_size=\"5991424\"] \n  38 -> 42 [size =\"5991424\"]\n  38 -> 43 [size =\"5991424\"]\n  38 -> 45 [size =\"5991424\"]\n  39 [size=\"37544960\", alpha=\"0.03\", expect_size=\"15017984\"] \n  40 [size=\"112908800\", alpha=\"0.06\", expect_size=\"45163520\"] \n  40 -> 41 [size =\"45163520\"]\n  40 -> 42 [size =\"45163520\"]\n  41 [size=\"70737920\", alpha=\"0.02\", expect_size=\"28295168\"] \n  42 [size=\"24368640\", alpha=\"0.10\", expect_size=\"9747456\"] \n  43 [size=\"13998080\", alpha=\"0.13\", expect_size=\"5599232\"] \n  44 [size=\"86208000\", alpha=\"0.01\", expect_size=\"34483200\"] \n  45 [size=\"36482560\", alpha=\"0.01\", expect_size=\"14593024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102628693\", alpha=\"0.04\", expect_size=\"30788608\"] \n  1 -> 5 [size =\"30788608\"]\n  1 -> 10 [size =\"30788608\"]\n  2 [size=\"73611947\", alpha=\"0.03\", expect_size=\"22083584\"] \n  2 -> 5 [size =\"22083584\"]\n  2 -> 6 [size =\"22083584\"]\n  2 -> 7 [size =\"22083584\"]\n  2 -> 10 [size =\"22083584\"]\n  2 -> 11 [size =\"22083584\"]\n  2 -> 12 [size =\"22083584\"]\n  3 [size=\"60272640\", alpha=\"0.17\", expect_size=\"18081792\"] \n  3 -> 5 [size =\"18081792\"]\n  3 -> 8 [size =\"18081792\"]\n  3 -> 10 [size =\"18081792\"]\n  3 -> 11 [size =\"18081792\"]\n  4 [size=\"29603840\", alpha=\"0.06\", expect_size=\"8881152\"] \n  4 -> 5 [size =\"8881152\"]\n  4 -> 7 [size =\"8881152\"]\n  4 -> 8 [size =\"8881152\"]\n  4 -> 9 [size =\"8881152\"]\n  4 -> 10 [size =\"8881152\"]\n  4 -> 11 [size =\"8881152\"]\n  5 [size=\"136799573\", alpha=\"0.05\", expect_size=\"41039872\"] \n  5 -> 13 [size =\"41039872\"]\n  5 -> 15 [size =\"41039872\"]\n  5 -> 16 [size =\"41039872\"]\n  6 [size=\"93709653\", alpha=\"0.00\", expect_size=\"28112896\"] \n  6 -> 13 [size =\"28112896\"]\n  6 -> 14 [size =\"28112896\"]\n  7 [size=\"61754027\", alpha=\"0.15\", expect_size=\"18526208\"] \n  7 -> 13 [size =\"18526208\"]\n  7 -> 16 [size =\"18526208\"]\n  8 [size=\"89658027\", alpha=\"0.20\", expect_size=\"26897408\"] \n  8 -> 13 [size =\"26897408\"]\n  9 [size=\"96815787\", alpha=\"0.14\", expect_size=\"29044736\"] \n  9 -> 13 [size =\"29044736\"]\n  9 -> 16 [size =\"29044736\"]\n  10 [size=\"112977920\", alpha=\"0.01\", expect_size=\"33893376\"] \n  10 -> 13 [size =\"33893376\"]\n  10 -> 16 [size =\"33893376\"]\n  11 [size=\"69659307\", alpha=\"0.13\", expect_size=\"20897792\"] \n  11 -> 13 [size =\"20897792\"]\n  11 -> 16 [size =\"20897792\"]\n  12 [size=\"97249280\", alpha=\"0.03\", expect_size=\"29174784\"] \n  12 -> 13 [size =\"29174784\"]\n  12 -> 14 [size =\"29174784\"]\n  12 -> 16 [size =\"29174784\"]\n  13 [size=\"122122240\", alpha=\"0.19\", expect_size=\"36636672\"] \n  13 -> 17 [size =\"36636672\"]\n  13 -> 18 [size =\"36636672\"]\n  13 -> 19 [size =\"36636672\"]\n  14 [size=\"96761173\", alpha=\"0.16\", expect_size=\"29028352\"] \n  14 -> 17 [size =\"29028352\"]\n  14 -> 19 [size =\"29028352\"]\n  15 [size=\"146387627\", alpha=\"0.16\", expect_size=\"43916288\"] \n  15 -> 17 [size =\"43916288\"]\n  15 -> 19 [size =\"43916288\"]\n  16 [size=\"27702613\", alpha=\"0.09\", expect_size=\"8310784\"] \n  16 -> 17 [size =\"8310784\"]\n  16 -> 19 [size =\"8310784\"]\n  17 [size=\"30429867\", alpha=\"0.09\", expect_size=\"9128960\"] \n  17 -> 22 [size =\"9128960\"]\n  17 -> 23 [size =\"9128960\"]\n  17 -> 24 [size =\"9128960\"]\n  18 [size=\"144520533\", alpha=\"0.09\", expect_size=\"43356160\"] \n  18 -> 21 [size =\"43356160\"]\n  18 -> 22 [size =\"43356160\"]\n  18 -> 23 [size =\"43356160\"]\n  18 -> 24 [size =\"43356160\"]\n  19 [size=\"142336000\", alpha=\"0.18\", expect_size=\"42700800\"] \n  19 -> 20 [size =\"42700800\"]\n  19 -> 22 [size =\"42700800\"]\n  19 -> 23 [size =\"42700800\"]\n  19 -> 24 [size =\"42700800\"]\n  20 [size=\"93887147\", alpha=\"0.07\", expect_size=\"28166144\"] \n  20 -> 25 [size =\"28166144\"]\n  20 -> 28 [size =\"28166144\"]\n  20 -> 30 [size =\"28166144\"]\n  20 -> 31 [size =\"28166144\"]\n  21 [size=\"104471893\", alpha=\"0.06\", expect_size=\"31341568\"] \n  21 -> 25 [size =\"31341568\"]\n  21 -> 26 [size =\"31341568\"]\n  21 -> 29 [size =\"31341568\"]\n  21 -> 30 [size =\"31341568\"]\n  21 -> 31 [size =\"31341568\"]\n  22 [size=\"52561920\", alpha=\"0.13\", expect_size=\"15768576\"] \n  22 -> 25 [size =\"15768576\"]\n  22 -> 26 [size =\"15768576\"]\n  22 -> 27 [size =\"15768576\"]\n  22 -> 28 [size =\"15768576\"]\n  22 -> 29 [size =\"15768576\"]\n  22 -> 31 [size =\"15768576\"]\n  23 [size=\"75096747\", alpha=\"0.06\", expect_size=\"22529024\"] \n  23 -> 25 [size =\"22529024\"]\n  23 -> 28 [size =\"22529024\"]\n  23 -> 29 [size =\"22529024\"]\n  23 -> 31 [size =\"22529024\"]\n  24 [size=\"65047893\", alpha=\"0.20\", expect_size=\"19514368\"] \n  24 -> 25 [size =\"19514368\"]\n  24 -> 28 [size =\"19514368\"]\n  24 -> 29 [size =\"19514368\"]\n  24 -> 30 [size =\"19514368\"]\n  25 [size=\"36491947\", alpha=\"0.09\", expect_size=\"10947584\"] \n  25 -> 32 [size =\"10947584\"]\n  25 -> 33 [size =\"10947584\"]\n  26 [size=\"163532800\", alpha=\"0.08\", expect_size=\"49059840\"] \n  26 -> 32 [size =\"49059840\"]\n  27 [size=\"80356693\", alpha=\"0.12\", expect_size=\"24107008\"] \n  27 -> 32 [size =\"24107008\"]\n  27 -> 33 [size =\"24107008\"]\n  27 -> 34 [size =\"24107008\"]\n  28 [size=\"152572587\", alpha=\"0.06\", expect_size=\"45771776\"] \n  28 -> 32 [size =\"45771776\"]\n  28 -> 33 [size =\"45771776\"]\n  28 -> 34 [size =\"45771776\"]\n  29 [size=\"64320853\", alpha=\"0.09\", expect_size=\"19296256\"] \n  29 -> 33 [size =\"19296256\"]\n  29 -> 33 [size =\"19296256\"]\n  29 -> 34 [size =\"19296256\"]\n  30 [size=\"45998080\", alpha=\"0.05\", expect_size=\"13799424\"] \n  30 -> 32 [size =\"13799424\"]\n  30 -> 33 [size =\"13799424\"]\n  30 -> 34 [size =\"13799424\"]\n  31 [size=\"98392747\", alpha=\"0.08\", expect_size=\"29517824\"] \n  31 -> 32 [size =\"29517824\"]\n  31 -> 33 [size =\"29517824\"]\n  31 -> 34 [size =\"29517824\"]\n  32 [size=\"149367467\", alpha=\"0.00\", expect_size=\"44810240\"] \n  32 -> 36 [size =\"44810240\"]\n  32 -> 37 [size =\"44810240\"]\n  33 [size=\"97778347\", alpha=\"0.06\", expect_size=\"29333504\"] \n  33 -> 37 [size =\"29333504\"]\n  34 [size=\"143708160\", alpha=\"0.02\", expect_size=\"43112448\"] \n  34 -> 35 [size =\"43112448\"]\n  34 -> 37 [size =\"43112448\"]\n  35 [size=\"141998080\", alpha=\"0.15\", expect_size=\"42599424\"] \n  35 -> 42 [size =\"42599424\"]\n  36 [size=\"54691840\", alpha=\"0.09\", expect_size=\"16407552\"] \n  36 -> 38 [size =\"16407552\"]\n  36 -> 39 [size =\"16407552\"]\n  36 -> 40 [size =\"16407552\"]\n  36 -> 41 [size =\"16407552\"]\n  37 [size=\"115305813\", alpha=\"0.04\", expect_size=\"34591744\"] \n  37 -> 38 [size =\"34591744\"]\n  37 -> 39 [size =\"34591744\"]\n  37 -> 40 [size =\"34591744\"]\n  37 -> 42 [size =\"34591744\"]\n  38 [size=\"53544960\", alpha=\"0.15\", expect_size=\"16063488\"] \n  38 -> 43 [size =\"16063488\"]\n  38 -> 44 [size =\"16063488\"]\n  38 -> 45 [size =\"16063488\"]\n  39 [size=\"98884267\", alpha=\"0.03\", expect_size=\"29665280\"] \n  39 -> 45 [size =\"29665280\"]\n  40 [size=\"173373440\", alpha=\"0.20\", expect_size=\"52012032\"] \n  40 -> 43 [size =\"52012032\"]\n  40 -> 44 [size =\"52012032\"]\n  40 -> 45 [size =\"52012032\"]\n  41 [size=\"57951573\", alpha=\"0.08\", expect_size=\"17385472\"] \n  41 -> 43 [size =\"17385472\"]\n  41 -> 44 [size =\"17385472\"]\n  42 [size=\"119367680\", alpha=\"0.01\", expect_size=\"35810304\"] \n  42 -> 43 [size =\"35810304\"]\n  42 -> 45 [size =\"35810304\"]\n  43 [size=\"122832213\", alpha=\"0.01\", expect_size=\"36849664\"] \n  44 [size=\"172987733\", alpha=\"0.07\", expect_size=\"51896320\"] \n  45 [size=\"34546347\", alpha=\"0.15\", expect_size=\"10363904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44494848\", alpha=\"0.17\", expect_size=\"22247424\"] \n  1 -> 38 [size =\"22247424\"]\n  1 -> 43 [size =\"22247424\"]\n  2 [size=\"23758848\", alpha=\"0.02\", expect_size=\"11879424\"] \n  2 -> 39 [size =\"11879424\"]\n  2 -> 42 [size =\"11879424\"]\n  2 -> 43 [size =\"11879424\"]\n  2 -> 44 [size =\"11879424\"]\n  2 -> 45 [size =\"11879424\"]\n  3 [size=\"102787072\", alpha=\"0.01\", expect_size=\"51393536\"] \n  3 -> 42 [size =\"51393536\"]\n  3 -> 43 [size =\"51393536\"]\n  3 -> 45 [size =\"51393536\"]\n  4 [size=\"96978944\", alpha=\"0.19\", expect_size=\"48489472\"] \n  4 -> 43 [size =\"48489472\"]\n  4 -> 44 [size =\"48489472\"]\n  5 [size=\"52443136\", alpha=\"0.13\", expect_size=\"26221568\"] \n  5 -> 38 [size =\"26221568\"]\n  5 -> 39 [size =\"26221568\"]\n  5 -> 44 [size =\"26221568\"]\n  6 [size=\"39469056\", alpha=\"0.08\", expect_size=\"19734528\"] \n  6 -> 44 [size =\"19734528\"]\n  6 -> 45 [size =\"19734528\"]\n  7 [size=\"58628096\", alpha=\"0.03\", expect_size=\"29314048\"] \n  7 -> 43 [size =\"29314048\"]\n  8 [size=\"77619200\", alpha=\"0.09\", expect_size=\"38809600\"] \n  8 -> 40 [size =\"38809600\"]\n  8 -> 43 [size =\"38809600\"]\n  9 [size=\"16072704\", alpha=\"0.19\", expect_size=\"8036352\"] \n  9 -> 38 [size =\"8036352\"]\n  9 -> 43 [size =\"8036352\"]\n  10 [size=\"18751488\", alpha=\"0.17\", expect_size=\"9375744\"] \n  10 -> 39 [size =\"9375744\"]\n  10 -> 40 [size =\"9375744\"]\n  10 -> 41 [size =\"9375744\"]\n  10 -> 44 [size =\"9375744\"]\n  10 -> 45 [size =\"9375744\"]\n  11 [size=\"48291840\", alpha=\"0.00\", expect_size=\"24145920\"] \n  11 -> 38 [size =\"24145920\"]\n  12 [size=\"31975424\", alpha=\"0.07\", expect_size=\"15987712\"] \n  12 -> 38 [size =\"15987712\"]\n  12 -> 39 [size =\"15987712\"]\n  12 -> 43 [size =\"15987712\"]\n  12 -> 45 [size =\"15987712\"]\n  13 [size=\"40323072\", alpha=\"0.05\", expect_size=\"20161536\"] \n  13 -> 44 [size =\"20161536\"]\n  13 -> 45 [size =\"20161536\"]\n  14 [size=\"45297664\", alpha=\"0.14\", expect_size=\"22648832\"] \n  14 -> 38 [size =\"22648832\"]\n  14 -> 43 [size =\"22648832\"]\n  14 -> 44 [size =\"22648832\"]\n  14 -> 45 [size =\"22648832\"]\n  15 [size=\"40734720\", alpha=\"0.05\", expect_size=\"20367360\"] \n  15 -> 43 [size =\"20367360\"]\n  15 -> 44 [size =\"20367360\"]\n  16 [size=\"99731456\", alpha=\"0.10\", expect_size=\"49865728\"] \n  16 -> 39 [size =\"49865728\"]\n  17 [size=\"42078208\", alpha=\"0.18\", expect_size=\"21039104\"] \n  17 -> 38 [size =\"21039104\"]\n  17 -> 41 [size =\"21039104\"]\n  18 [size=\"56299520\", alpha=\"0.02\", expect_size=\"28149760\"] \n  18 -> 38 [size =\"28149760\"]\n  18 -> 43 [size =\"28149760\"]\n  18 -> 45 [size =\"28149760\"]\n  19 [size=\"96647168\", alpha=\"0.19\", expect_size=\"48323584\"] \n  19 -> 38 [size =\"48323584\"]\n  19 -> 41 [size =\"48323584\"]\n  19 -> 42 [size =\"48323584\"]\n  19 -> 44 [size =\"48323584\"]\n  19 -> 45 [size =\"48323584\"]\n  20 [size=\"91754496\", alpha=\"0.18\", expect_size=\"45877248\"] \n  20 -> 41 [size =\"45877248\"]\n  20 -> 41 [size =\"45877248\"]\n  20 -> 42 [size =\"45877248\"]\n  20 -> 44 [size =\"45877248\"]\n  21 [size=\"76570624\", alpha=\"0.04\", expect_size=\"38285312\"] \n  21 -> 40 [size =\"38285312\"]\n  21 -> 41 [size =\"38285312\"]\n  21 -> 43 [size =\"38285312\"]\n  22 [size=\"78542848\", alpha=\"0.13\", expect_size=\"39271424\"] \n  22 -> 38 [size =\"39271424\"]\n  22 -> 39 [size =\"39271424\"]\n  22 -> 41 [size =\"39271424\"]\n  22 -> 43 [size =\"39271424\"]\n  23 [size=\"16349184\", alpha=\"0.01\", expect_size=\"8174592\"] \n  23 -> 41 [size =\"8174592\"]\n  23 -> 43 [size =\"8174592\"]\n  24 [size=\"37965824\", alpha=\"0.07\", expect_size=\"18982912\"] \n  24 -> 43 [size =\"18982912\"]\n  24 -> 43 [size =\"18982912\"]\n  25 [size=\"104024064\", alpha=\"0.03\", expect_size=\"52012032\"] \n  25 -> 38 [size =\"52012032\"]\n  25 -> 41 [size =\"52012032\"]\n  25 -> 42 [size =\"52012032\"]\n  25 -> 43 [size =\"52012032\"]\n  25 -> 45 [size =\"52012032\"]\n  26 [size=\"35006464\", alpha=\"0.05\", expect_size=\"17503232\"] \n  26 -> 39 [size =\"17503232\"]\n  26 -> 41 [size =\"17503232\"]\n  26 -> 43 [size =\"17503232\"]\n  26 -> 43 [size =\"17503232\"]\n  26 -> 45 [size =\"17503232\"]\n  27 [size=\"80605184\", alpha=\"0.16\", expect_size=\"40302592\"] \n  27 -> 39 [size =\"40302592\"]\n  28 [size=\"70610944\", alpha=\"0.02\", expect_size=\"35305472\"] \n  28 -> 39 [size =\"35305472\"]\n  28 -> 43 [size =\"35305472\"]\n  28 -> 44 [size =\"35305472\"]\n  29 [size=\"78409728\", alpha=\"0.10\", expect_size=\"39204864\"] \n  29 -> 39 [size =\"39204864\"]\n  29 -> 41 [size =\"39204864\"]\n  29 -> 44 [size =\"39204864\"]\n  30 [size=\"75694080\", alpha=\"0.19\", expect_size=\"37847040\"] \n  30 -> 38 [size =\"37847040\"]\n  30 -> 42 [size =\"37847040\"]\n  30 -> 44 [size =\"37847040\"]\n  31 [size=\"66662400\", alpha=\"0.16\", expect_size=\"33331200\"] \n  31 -> 38 [size =\"33331200\"]\n  31 -> 39 [size =\"33331200\"]\n  31 -> 41 [size =\"33331200\"]\n  32 [size=\"85325824\", alpha=\"0.17\", expect_size=\"42662912\"] \n  32 -> 40 [size =\"42662912\"]\n  32 -> 41 [size =\"42662912\"]\n  32 -> 45 [size =\"42662912\"]\n  33 [size=\"50585600\", alpha=\"0.05\", expect_size=\"25292800\"] \n  33 -> 42 [size =\"25292800\"]\n  34 [size=\"54747136\", alpha=\"0.00\", expect_size=\"27373568\"] \n  34 -> 39 [size =\"27373568\"]\n  34 -> 44 [size =\"27373568\"]\n  34 -> 45 [size =\"27373568\"]\n  35 [size=\"89929728\", alpha=\"0.02\", expect_size=\"44964864\"] \n  35 -> 39 [size =\"44964864\"]\n  35 -> 43 [size =\"44964864\"]\n  35 -> 44 [size =\"44964864\"]\n  36 [size=\"103718912\", alpha=\"0.02\", expect_size=\"51859456\"] \n  36 -> 39 [size =\"51859456\"]\n  36 -> 41 [size =\"51859456\"]\n  36 -> 45 [size =\"51859456\"]\n  37 [size=\"30730240\", alpha=\"0.10\", expect_size=\"15365120\"] \n  37 -> 39 [size =\"15365120\"]\n  37 -> 43 [size =\"15365120\"]\n  37 -> 44 [size =\"15365120\"]\n  37 -> 45 [size =\"15365120\"]\n  38 [size=\"13477888\", alpha=\"0.07\", expect_size=\"6738944\"] \n  39 [size=\"24727552\", alpha=\"0.02\", expect_size=\"12363776\"] \n  40 [size=\"70062080\", alpha=\"0.14\", expect_size=\"35031040\"] \n  41 [size=\"63383552\", alpha=\"0.01\", expect_size=\"31691776\"] \n  42 [size=\"42491904\", alpha=\"0.02\", expect_size=\"21245952\"] \n  43 [size=\"28882944\", alpha=\"0.04\", expect_size=\"14441472\"] \n  44 [size=\"52391936\", alpha=\"0.12\", expect_size=\"26195968\"] \n  45 [size=\"53463040\", alpha=\"0.20\", expect_size=\"26731520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33220608\", alpha=\"0.01\", expect_size=\"16610304\"] \n  2 [size=\"98138112\", alpha=\"0.10\", expect_size=\"49069056\"] \n  2 -> 4 [size =\"49069056\"]\n  2 -> 5 [size =\"49069056\"]\n  2 -> 6 [size =\"49069056\"]\n  3 [size=\"89489408\", alpha=\"0.14\", expect_size=\"44744704\"] \n  3 -> 5 [size =\"44744704\"]\n  4 [size=\"72486912\", alpha=\"0.11\", expect_size=\"36243456\"] \n  4 -> 10 [size =\"36243456\"]\n  4 -> 12 [size =\"36243456\"]\n  4 -> 14 [size =\"36243456\"]\n  5 [size=\"53569536\", alpha=\"0.18\", expect_size=\"26784768\"] \n  5 -> 13 [size =\"26784768\"]\n  5 -> 14 [size =\"26784768\"]\n  6 [size=\"56029184\", alpha=\"0.13\", expect_size=\"28014592\"] \n  6 -> 7 [size =\"28014592\"]\n  6 -> 8 [size =\"28014592\"]\n  6 -> 9 [size =\"28014592\"]\n  6 -> 11 [size =\"28014592\"]\n  7 [size=\"31275008\", alpha=\"0.15\", expect_size=\"15637504\"] \n  7 -> 16 [size =\"15637504\"]\n  7 -> 18 [size =\"15637504\"]\n  8 [size=\"44535808\", alpha=\"0.01\", expect_size=\"22267904\"] \n  8 -> 15 [size =\"22267904\"]\n  8 -> 18 [size =\"22267904\"]\n  9 [size=\"63107072\", alpha=\"0.12\", expect_size=\"31553536\"] \n  9 -> 15 [size =\"31553536\"]\n  9 -> 16 [size =\"31553536\"]\n  9 -> 18 [size =\"31553536\"]\n  10 [size=\"80130048\", alpha=\"0.13\", expect_size=\"40065024\"] \n  10 -> 17 [size =\"40065024\"]\n  11 [size=\"39911424\", alpha=\"0.09\", expect_size=\"19955712\"] \n  12 [size=\"45352960\", alpha=\"0.09\", expect_size=\"22676480\"] \n  12 -> 17 [size =\"22676480\"]\n  13 [size=\"91707392\", alpha=\"0.01\", expect_size=\"45853696\"] \n  13 -> 15 [size =\"45853696\"]\n  14 [size=\"64897024\", alpha=\"0.01\", expect_size=\"32448512\"] \n  15 [size=\"23355392\", alpha=\"0.04\", expect_size=\"11677696\"] \n  15 -> 20 [size =\"11677696\"]\n  15 -> 21 [size =\"11677696\"]\n  15 -> 22 [size =\"11677696\"]\n  16 [size=\"12963840\", alpha=\"0.19\", expect_size=\"6481920\"] \n  16 -> 20 [size =\"6481920\"]\n  16 -> 21 [size =\"6481920\"]\n  17 [size=\"73101312\", alpha=\"0.13\", expect_size=\"36550656\"] \n  17 -> 19 [size =\"36550656\"]\n  18 [size=\"49035264\", alpha=\"0.05\", expect_size=\"24517632\"] \n  18 -> 22 [size =\"24517632\"]\n  19 [size=\"55361536\", alpha=\"0.20\", expect_size=\"27680768\"] \n  19 -> 25 [size =\"27680768\"]\n  20 [size=\"18460672\", alpha=\"0.06\", expect_size=\"9230336\"] \n  20 -> 23 [size =\"9230336\"]\n  21 [size=\"81328128\", alpha=\"0.16\", expect_size=\"40664064\"] \n  21 -> 24 [size =\"40664064\"]\n  22 [size=\"28407808\", alpha=\"0.06\", expect_size=\"14203904\"] \n  22 -> 23 [size =\"14203904\"]\n  22 -> 25 [size =\"14203904\"]\n  23 [size=\"68661248\", alpha=\"0.12\", expect_size=\"34330624\"] \n  23 -> 26 [size =\"34330624\"]\n  23 -> 28 [size =\"34330624\"]\n  23 -> 30 [size =\"34330624\"]\n  23 -> 31 [size =\"34330624\"]\n  24 [size=\"71182336\", alpha=\"0.11\", expect_size=\"35591168\"] \n  24 -> 26 [size =\"35591168\"]\n  24 -> 28 [size =\"35591168\"]\n  24 -> 29 [size =\"35591168\"]\n  25 [size=\"75446272\", alpha=\"0.20\", expect_size=\"37723136\"] \n  25 -> 27 [size =\"37723136\"]\n  26 [size=\"93554688\", alpha=\"0.18\", expect_size=\"46777344\"] \n  26 -> 33 [size =\"46777344\"]\n  27 [size=\"90750976\", alpha=\"0.00\", expect_size=\"45375488\"] \n  27 -> 33 [size =\"45375488\"]\n  27 -> 35 [size =\"45375488\"]\n  28 [size=\"56225792\", alpha=\"0.10\", expect_size=\"28112896\"] \n  29 [size=\"81113088\", alpha=\"0.11\", expect_size=\"40556544\"] \n  30 [size=\"78813184\", alpha=\"0.06\", expect_size=\"39406592\"] \n  30 -> 34 [size =\"39406592\"]\n  31 [size=\"10577920\", alpha=\"0.08\", expect_size=\"5288960\"] \n  31 -> 32 [size =\"5288960\"]\n  31 -> 33 [size =\"5288960\"]\n  32 [size=\"87887872\", alpha=\"0.18\", expect_size=\"43943936\"] \n  32 -> 36 [size =\"43943936\"]\n  33 [size=\"20908032\", alpha=\"0.04\", expect_size=\"10454016\"] \n  33 -> 39 [size =\"10454016\"]\n  33 -> 40 [size =\"10454016\"]\n  33 -> 41 [size =\"10454016\"]\n  34 [size=\"77387776\", alpha=\"0.02\", expect_size=\"38693888\"] \n  34 -> 37 [size =\"38693888\"]\n  34 -> 38 [size =\"38693888\"]\n  35 [size=\"36214784\", alpha=\"0.03\", expect_size=\"18107392\"] \n  36 [size=\"34844672\", alpha=\"0.04\", expect_size=\"17422336\"] \n  36 -> 44 [size =\"17422336\"]\n  37 [size=\"24451072\", alpha=\"0.19\", expect_size=\"12225536\"] \n  37 -> 42 [size =\"12225536\"]\n  37 -> 44 [size =\"12225536\"]\n  38 [size=\"25823232\", alpha=\"0.01\", expect_size=\"12911616\"] \n  39 [size=\"73011200\", alpha=\"0.13\", expect_size=\"36505600\"] \n  39 -> 42 [size =\"36505600\"]\n  39 -> 43 [size =\"36505600\"]\n  40 [size=\"29896704\", alpha=\"0.07\", expect_size=\"14948352\"] \n  40 -> 42 [size =\"14948352\"]\n  41 [size=\"60495872\", alpha=\"0.16\", expect_size=\"30247936\"] \n  41 -> 43 [size =\"30247936\"]\n  41 -> 44 [size =\"30247936\"]\n  42 [size=\"99862528\", alpha=\"0.09\", expect_size=\"49931264\"] \n  43 [size=\"88496128\", alpha=\"0.14\", expect_size=\"44248064\"] \n  43 -> 45 [size =\"44248064\"]\n  44 [size=\"13248512\", alpha=\"0.12\", expect_size=\"6624256\"] \n  44 -> 45 [size =\"6624256\"]\n  45 [size=\"22900736\", alpha=\"0.03\", expect_size=\"11450368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104669867\", alpha=\"0.03\", expect_size=\"31400960\"] \n  1 -> 3 [size =\"31400960\"]\n  2 [size=\"93443413\", alpha=\"0.03\", expect_size=\"28033024\"] \n  2 -> 3 [size =\"28033024\"]\n  2 -> 4 [size =\"28033024\"]\n  3 [size=\"154224640\", alpha=\"0.04\", expect_size=\"46267392\"] \n  3 -> 5 [size =\"46267392\"]\n  4 [size=\"72089600\", alpha=\"0.09\", expect_size=\"21626880\"] \n  5 [size=\"123890347\", alpha=\"0.10\", expect_size=\"37167104\"] \n  5 -> 6 [size =\"37167104\"]\n  5 -> 7 [size =\"37167104\"]\n  5 -> 8 [size =\"37167104\"]\n  5 -> 9 [size =\"37167104\"]\n  6 [size=\"118869333\", alpha=\"0.01\", expect_size=\"35660800\"] \n  7 [size=\"161501867\", alpha=\"0.15\", expect_size=\"48450560\"] \n  7 -> 10 [size =\"48450560\"]\n  8 [size=\"119835307\", alpha=\"0.16\", expect_size=\"35950592\"] \n  9 [size=\"54736213\", alpha=\"0.05\", expect_size=\"16420864\"] \n  10 [size=\"42028373\", alpha=\"0.13\", expect_size=\"12608512\"] \n  10 -> 11 [size =\"12608512\"]\n  10 -> 12 [size =\"12608512\"]\n  10 -> 13 [size =\"12608512\"]\n  11 [size=\"120995840\", alpha=\"0.19\", expect_size=\"36298752\"] \n  11 -> 14 [size =\"36298752\"]\n  11 -> 15 [size =\"36298752\"]\n  12 [size=\"143909547\", alpha=\"0.13\", expect_size=\"43172864\"] \n  13 [size=\"164143787\", alpha=\"0.12\", expect_size=\"49243136\"] \n  13 -> 14 [size =\"49243136\"]\n  14 [size=\"37829973\", alpha=\"0.20\", expect_size=\"11348992\"] \n  14 -> 17 [size =\"11348992\"]\n  15 [size=\"105325227\", alpha=\"0.17\", expect_size=\"31597568\"] \n  15 -> 16 [size =\"31597568\"]\n  15 -> 18 [size =\"31597568\"]\n  16 [size=\"27750400\", alpha=\"0.15\", expect_size=\"8325120\"] \n  16 -> 19 [size =\"8325120\"]\n  17 [size=\"33870507\", alpha=\"0.09\", expect_size=\"10161152\"] \n  17 -> 19 [size =\"10161152\"]\n  17 -> 20 [size =\"10161152\"]\n  17 -> 21 [size =\"10161152\"]\n  18 [size=\"151654400\", alpha=\"0.15\", expect_size=\"45496320\"] \n  18 -> 20 [size =\"45496320\"]\n  19 [size=\"124129280\", alpha=\"0.15\", expect_size=\"37238784\"] \n  20 [size=\"163539627\", alpha=\"0.01\", expect_size=\"49061888\"] \n  20 -> 23 [size =\"49061888\"]\n  20 -> 24 [size =\"49061888\"]\n  21 [size=\"105710933\", alpha=\"0.19\", expect_size=\"31713280\"] \n  21 -> 22 [size =\"31713280\"]\n  21 -> 24 [size =\"31713280\"]\n  22 [size=\"98327893\", alpha=\"0.07\", expect_size=\"29498368\"] \n  23 [size=\"47100587\", alpha=\"0.12\", expect_size=\"14130176\"] \n  23 -> 25 [size =\"14130176\"]\n  24 [size=\"141933227\", alpha=\"0.04\", expect_size=\"42579968\"] \n  24 -> 25 [size =\"42579968\"]\n  24 -> 26 [size =\"42579968\"]\n  24 -> 27 [size =\"42579968\"]\n  25 [size=\"139120640\", alpha=\"0.09\", expect_size=\"41736192\"] \n  25 -> 28 [size =\"41736192\"]\n  26 [size=\"112926720\", alpha=\"0.08\", expect_size=\"33878016\"] \n  27 [size=\"74574507\", alpha=\"0.04\", expect_size=\"22372352\"] \n  28 [size=\"146435413\", alpha=\"0.14\", expect_size=\"43930624\"] \n  28 -> 29 [size =\"43930624\"]\n  28 -> 30 [size =\"43930624\"]\n  28 -> 31 [size =\"43930624\"]\n  29 [size=\"108571307\", alpha=\"0.08\", expect_size=\"32571392\"] \n  29 -> 32 [size =\"32571392\"]\n  29 -> 33 [size =\"32571392\"]\n  30 [size=\"66648747\", alpha=\"0.06\", expect_size=\"19994624\"] \n  30 -> 33 [size =\"19994624\"]\n  30 -> 34 [size =\"19994624\"]\n  31 [size=\"78366720\", alpha=\"0.16\", expect_size=\"23510016\"] \n  31 -> 32 [size =\"23510016\"]\n  31 -> 34 [size =\"23510016\"]\n  32 [size=\"73639253\", alpha=\"0.03\", expect_size=\"22091776\"] \n  32 -> 35 [size =\"22091776\"]\n  33 [size=\"128430080\", alpha=\"0.09\", expect_size=\"38529024\"] \n  34 [size=\"64918187\", alpha=\"0.17\", expect_size=\"19475456\"] \n  34 -> 36 [size =\"19475456\"]\n  35 [size=\"95006720\", alpha=\"0.16\", expect_size=\"28502016\"] \n  35 -> 37 [size =\"28502016\"]\n  35 -> 38 [size =\"28502016\"]\n  35 -> 39 [size =\"28502016\"]\n  36 [size=\"167826773\", alpha=\"0.16\", expect_size=\"50348032\"] \n  36 -> 40 [size =\"50348032\"]\n  37 [size=\"70191787\", alpha=\"0.19\", expect_size=\"21057536\"] \n  37 -> 41 [size =\"21057536\"]\n  38 [size=\"103424000\", alpha=\"0.18\", expect_size=\"31027200\"] \n  38 -> 41 [size =\"31027200\"]\n  38 -> 42 [size =\"31027200\"]\n  39 [size=\"55313067\", alpha=\"0.12\", expect_size=\"16593920\"] \n  40 [size=\"120398507\", alpha=\"0.03\", expect_size=\"36119552\"] \n  41 [size=\"165956267\", alpha=\"0.06\", expect_size=\"49786880\"] \n  41 -> 43 [size =\"49786880\"]\n  42 [size=\"138219520\", alpha=\"0.20\", expect_size=\"41465856\"] \n  42 -> 44 [size =\"41465856\"]\n  43 [size=\"163621547\", alpha=\"0.17\", expect_size=\"49086464\"] \n  43 -> 45 [size =\"49086464\"]\n  44 [size=\"74257067\", alpha=\"0.09\", expect_size=\"22277120\"] \n  45 [size=\"47769600\", alpha=\"0.18\", expect_size=\"14330880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85456213\", alpha=\"0.10\", expect_size=\"25636864\"] \n  1 -> 16 [size =\"25636864\"]\n  1 -> 18 [size =\"25636864\"]\n  1 -> 22 [size =\"25636864\"]\n  1 -> 24 [size =\"25636864\"]\n  1 -> 25 [size =\"25636864\"]\n  2 [size=\"152674987\", alpha=\"0.18\", expect_size=\"45802496\"] \n  2 -> 15 [size =\"45802496\"]\n  2 -> 22 [size =\"45802496\"]\n  2 -> 24 [size =\"45802496\"]\n  2 -> 25 [size =\"45802496\"]\n  2 -> 25 [size =\"45802496\"]\n  3 [size=\"113506987\", alpha=\"0.08\", expect_size=\"34052096\"] \n  3 -> 15 [size =\"34052096\"]\n  3 -> 20 [size =\"34052096\"]\n  3 -> 21 [size =\"34052096\"]\n  3 -> 25 [size =\"34052096\"]\n  4 [size=\"58903893\", alpha=\"0.07\", expect_size=\"17671168\"] \n  4 -> 16 [size =\"17671168\"]\n  4 -> 17 [size =\"17671168\"]\n  4 -> 21 [size =\"17671168\"]\n  4 -> 22 [size =\"17671168\"]\n  4 -> 23 [size =\"17671168\"]\n  4 -> 24 [size =\"17671168\"]\n  4 -> 25 [size =\"17671168\"]\n  5 [size=\"51442347\", alpha=\"0.17\", expect_size=\"15432704\"] \n  5 -> 15 [size =\"15432704\"]\n  5 -> 16 [size =\"15432704\"]\n  5 -> 17 [size =\"15432704\"]\n  5 -> 22 [size =\"15432704\"]\n  6 [size=\"74304853\", alpha=\"0.15\", expect_size=\"22291456\"] \n  6 -> 24 [size =\"22291456\"]\n  7 [size=\"154122240\", alpha=\"0.01\", expect_size=\"46236672\"] \n  7 -> 21 [size =\"46236672\"]\n  7 -> 22 [size =\"46236672\"]\n  7 -> 24 [size =\"46236672\"]\n  8 [size=\"144005120\", alpha=\"0.01\", expect_size=\"43201536\"] \n  8 -> 15 [size =\"43201536\"]\n  8 -> 20 [size =\"43201536\"]\n  8 -> 22 [size =\"43201536\"]\n  8 -> 24 [size =\"43201536\"]\n  8 -> 25 [size =\"43201536\"]\n  9 [size=\"18138453\", alpha=\"0.13\", expect_size=\"5441536\"] \n  9 -> 15 [size =\"5441536\"]\n  9 -> 18 [size =\"5441536\"]\n  9 -> 20 [size =\"5441536\"]\n  9 -> 22 [size =\"5441536\"]\n  9 -> 24 [size =\"5441536\"]\n  9 -> 25 [size =\"5441536\"]\n  10 [size=\"103185067\", alpha=\"0.06\", expect_size=\"30955520\"] \n  10 -> 21 [size =\"30955520\"]\n  10 -> 23 [size =\"30955520\"]\n  11 [size=\"119197013\", alpha=\"0.15\", expect_size=\"35759104\"] \n  11 -> 19 [size =\"35759104\"]\n  11 -> 22 [size =\"35759104\"]\n  11 -> 25 [size =\"35759104\"]\n  12 [size=\"38249813\", alpha=\"0.12\", expect_size=\"11474944\"] \n  12 -> 15 [size =\"11474944\"]\n  12 -> 18 [size =\"11474944\"]\n  12 -> 21 [size =\"11474944\"]\n  13 [size=\"21756587\", alpha=\"0.09\", expect_size=\"6526976\"] \n  13 -> 17 [size =\"6526976\"]\n  13 -> 21 [size =\"6526976\"]\n  13 -> 25 [size =\"6526976\"]\n  14 [size=\"81145173\", alpha=\"0.17\", expect_size=\"24343552\"] \n  14 -> 15 [size =\"24343552\"]\n  14 -> 16 [size =\"24343552\"]\n  14 -> 17 [size =\"24343552\"]\n  14 -> 18 [size =\"24343552\"]\n  14 -> 20 [size =\"24343552\"]\n  14 -> 21 [size =\"24343552\"]\n  14 -> 22 [size =\"24343552\"]\n  14 -> 25 [size =\"24343552\"]\n  15 [size=\"132287147\", alpha=\"0.05\", expect_size=\"39686144\"] \n  15 -> 30 [size =\"39686144\"]\n  15 -> 33 [size =\"39686144\"]\n  15 -> 35 [size =\"39686144\"]\n  15 -> 38 [size =\"39686144\"]\n  15 -> 38 [size =\"39686144\"]\n  15 -> 39 [size =\"39686144\"]\n  16 [size=\"112244053\", alpha=\"0.04\", expect_size=\"33673216\"] \n  16 -> 27 [size =\"33673216\"]\n  16 -> 29 [size =\"33673216\"]\n  16 -> 30 [size =\"33673216\"]\n  16 -> 31 [size =\"33673216\"]\n  16 -> 33 [size =\"33673216\"]\n  16 -> 39 [size =\"33673216\"]\n  16 -> 40 [size =\"33673216\"]\n  17 [size=\"70580907\", alpha=\"0.03\", expect_size=\"21174272\"] \n  17 -> 26 [size =\"21174272\"]\n  17 -> 27 [size =\"21174272\"]\n  17 -> 31 [size =\"21174272\"]\n  17 -> 35 [size =\"21174272\"]\n  17 -> 37 [size =\"21174272\"]\n  17 -> 39 [size =\"21174272\"]\n  18 [size=\"80810667\", alpha=\"0.09\", expect_size=\"24243200\"] \n  18 -> 26 [size =\"24243200\"]\n  18 -> 27 [size =\"24243200\"]\n  18 -> 28 [size =\"24243200\"]\n  18 -> 35 [size =\"24243200\"]\n  18 -> 36 [size =\"24243200\"]\n  18 -> 37 [size =\"24243200\"]\n  18 -> 39 [size =\"24243200\"]\n  18 -> 41 [size =\"24243200\"]\n  19 [size=\"90337280\", alpha=\"0.09\", expect_size=\"27101184\"] \n  19 -> 26 [size =\"27101184\"]\n  19 -> 27 [size =\"27101184\"]\n  19 -> 31 [size =\"27101184\"]\n  19 -> 36 [size =\"27101184\"]\n  19 -> 37 [size =\"27101184\"]\n  19 -> 39 [size =\"27101184\"]\n  20 [size=\"31887360\", alpha=\"0.14\", expect_size=\"9566208\"] \n  20 -> 26 [size =\"9566208\"]\n  20 -> 27 [size =\"9566208\"]\n  20 -> 32 [size =\"9566208\"]\n  20 -> 38 [size =\"9566208\"]\n  20 -> 39 [size =\"9566208\"]\n  20 -> 41 [size =\"9566208\"]\n  21 [size=\"79813973\", alpha=\"0.08\", expect_size=\"23944192\"] \n  21 -> 26 [size =\"23944192\"]\n  21 -> 28 [size =\"23944192\"]\n  21 -> 33 [size =\"23944192\"]\n  21 -> 38 [size =\"23944192\"]\n  21 -> 41 [size =\"23944192\"]\n  21 -> 41 [size =\"23944192\"]\n  22 [size=\"43728213\", alpha=\"0.19\", expect_size=\"13118464\"] \n  22 -> 30 [size =\"13118464\"]\n  22 -> 31 [size =\"13118464\"]\n  22 -> 34 [size =\"13118464\"]\n  22 -> 36 [size =\"13118464\"]\n  22 -> 37 [size =\"13118464\"]\n  22 -> 41 [size =\"13118464\"]\n  23 [size=\"135273813\", alpha=\"0.03\", expect_size=\"40582144\"] \n  23 -> 36 [size =\"40582144\"]\n  23 -> 37 [size =\"40582144\"]\n  23 -> 38 [size =\"40582144\"]\n  24 [size=\"52019200\", alpha=\"0.11\", expect_size=\"15605760\"] \n  24 -> 26 [size =\"15605760\"]\n  24 -> 28 [size =\"15605760\"]\n  24 -> 36 [size =\"15605760\"]\n  24 -> 41 [size =\"15605760\"]\n  25 [size=\"30945280\", alpha=\"0.04\", expect_size=\"9283584\"] \n  25 -> 26 [size =\"9283584\"]\n  25 -> 31 [size =\"9283584\"]\n  25 -> 35 [size =\"9283584\"]\n  25 -> 36 [size =\"9283584\"]\n  25 -> 38 [size =\"9283584\"]\n  25 -> 40 [size =\"9283584\"]\n  26 [size=\"71888213\", alpha=\"0.05\", expect_size=\"21566464\"] \n  26 -> 42 [size =\"21566464\"]\n  27 [size=\"104396800\", alpha=\"0.02\", expect_size=\"31319040\"] \n  27 -> 42 [size =\"31319040\"]\n  28 [size=\"127590400\", alpha=\"0.16\", expect_size=\"38277120\"] \n  28 -> 42 [size =\"38277120\"]\n  28 -> 45 [size =\"38277120\"]\n  29 [size=\"44011520\", alpha=\"0.10\", expect_size=\"13203456\"] \n  30 [size=\"113745920\", alpha=\"0.14\", expect_size=\"34123776\"] \n  30 -> 42 [size =\"34123776\"]\n  30 -> 44 [size =\"34123776\"]\n  31 [size=\"68194987\", alpha=\"0.12\", expect_size=\"20458496\"] \n  31 -> 42 [size =\"20458496\"]\n  32 [size=\"132628480\", alpha=\"0.12\", expect_size=\"39788544\"] \n  33 [size=\"127675733\", alpha=\"0.13\", expect_size=\"38302720\"] \n  34 [size=\"149364053\", alpha=\"0.02\", expect_size=\"44809216\"] \n  34 -> 42 [size =\"44809216\"]\n  34 -> 45 [size =\"44809216\"]\n  35 [size=\"81838080\", alpha=\"0.05\", expect_size=\"24551424\"] \n  35 -> 43 [size =\"24551424\"]\n  36 [size=\"116350293\", alpha=\"0.01\", expect_size=\"34905088\"] \n  36 -> 42 [size =\"34905088\"]\n  37 [size=\"152449707\", alpha=\"0.03\", expect_size=\"45734912\"] \n  37 -> 44 [size =\"45734912\"]\n  37 -> 45 [size =\"45734912\"]\n  38 [size=\"169485653\", alpha=\"0.13\", expect_size=\"50845696\"] \n  38 -> 42 [size =\"50845696\"]\n  38 -> 45 [size =\"50845696\"]\n  39 [size=\"136714240\", alpha=\"0.13\", expect_size=\"41014272\"] \n  40 [size=\"54790827\", alpha=\"0.14\", expect_size=\"16437248\"] \n  40 -> 43 [size =\"16437248\"]\n  40 -> 44 [size =\"16437248\"]\n  41 [size=\"166717440\", alpha=\"0.04\", expect_size=\"50015232\"] \n  41 -> 42 [size =\"50015232\"]\n  42 [size=\"102352213\", alpha=\"0.16\", expect_size=\"30705664\"] \n  43 [size=\"39761920\", alpha=\"0.04\", expect_size=\"11928576\"] \n  44 [size=\"140509867\", alpha=\"0.16\", expect_size=\"42152960\"] \n  45 [size=\"153698987\", alpha=\"0.10\", expect_size=\"46109696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97202176\", alpha=\"0.03\", expect_size=\"48601088\"] \n  1 -> 7 [size =\"48601088\"]\n  1 -> 8 [size =\"48601088\"]\n  1 -> 10 [size =\"48601088\"]\n  2 [size=\"30134272\", alpha=\"0.07\", expect_size=\"15067136\"] \n  2 -> 6 [size =\"15067136\"]\n  2 -> 7 [size =\"15067136\"]\n  2 -> 8 [size =\"15067136\"]\n  2 -> 10 [size =\"15067136\"]\n  2 -> 11 [size =\"15067136\"]\n  3 [size=\"45740032\", alpha=\"0.02\", expect_size=\"22870016\"] \n  3 -> 7 [size =\"22870016\"]\n  3 -> 8 [size =\"22870016\"]\n  3 -> 10 [size =\"22870016\"]\n  4 [size=\"97021952\", alpha=\"0.14\", expect_size=\"48510976\"] \n  4 -> 6 [size =\"48510976\"]\n  4 -> 7 [size =\"48510976\"]\n  4 -> 9 [size =\"48510976\"]\n  5 [size=\"18438144\", alpha=\"0.15\", expect_size=\"9219072\"] \n  5 -> 8 [size =\"9219072\"]\n  6 [size=\"27006976\", alpha=\"0.15\", expect_size=\"13503488\"] \n  6 -> 16 [size =\"13503488\"]\n  6 -> 17 [size =\"13503488\"]\n  7 [size=\"32329728\", alpha=\"0.04\", expect_size=\"16164864\"] \n  7 -> 13 [size =\"16164864\"]\n  7 -> 14 [size =\"16164864\"]\n  7 -> 15 [size =\"16164864\"]\n  7 -> 16 [size =\"16164864\"]\n  8 [size=\"66332672\", alpha=\"0.09\", expect_size=\"33166336\"] \n  8 -> 15 [size =\"33166336\"]\n  8 -> 16 [size =\"33166336\"]\n  8 -> 18 [size =\"33166336\"]\n  9 [size=\"30173184\", alpha=\"0.14\", expect_size=\"15086592\"] \n  9 -> 12 [size =\"15086592\"]\n  9 -> 16 [size =\"15086592\"]\n  9 -> 17 [size =\"15086592\"]\n  10 [size=\"11153408\", alpha=\"0.08\", expect_size=\"5576704\"] \n  10 -> 13 [size =\"5576704\"]\n  10 -> 14 [size =\"5576704\"]\n  10 -> 15 [size =\"5576704\"]\n  10 -> 16 [size =\"5576704\"]\n  10 -> 17 [size =\"5576704\"]\n  11 [size=\"53395456\", alpha=\"0.19\", expect_size=\"26697728\"] \n  11 -> 14 [size =\"26697728\"]\n  11 -> 15 [size =\"26697728\"]\n  11 -> 18 [size =\"26697728\"]\n  12 [size=\"65398784\", alpha=\"0.13\", expect_size=\"32699392\"] \n  12 -> 19 [size =\"32699392\"]\n  12 -> 21 [size =\"32699392\"]\n  13 [size=\"99786752\", alpha=\"0.07\", expect_size=\"49893376\"] \n  14 [size=\"12613632\", alpha=\"0.12\", expect_size=\"6306816\"] \n  14 -> 23 [size =\"6306816\"]\n  15 [size=\"76947456\", alpha=\"0.09\", expect_size=\"38473728\"] \n  15 -> 21 [size =\"38473728\"]\n  15 -> 22 [size =\"38473728\"]\n  16 [size=\"55306240\", alpha=\"0.20\", expect_size=\"27653120\"] \n  16 -> 19 [size =\"27653120\"]\n  16 -> 20 [size =\"27653120\"]\n  17 [size=\"32538624\", alpha=\"0.18\", expect_size=\"16269312\"] \n  17 -> 19 [size =\"16269312\"]\n  17 -> 22 [size =\"16269312\"]\n  18 [size=\"49924096\", alpha=\"0.15\", expect_size=\"24962048\"] \n  18 -> 19 [size =\"24962048\"]\n  18 -> 22 [size =\"24962048\"]\n  19 [size=\"91510784\", alpha=\"0.08\", expect_size=\"45755392\"] \n  19 -> 25 [size =\"45755392\"]\n  19 -> 29 [size =\"45755392\"]\n  20 [size=\"61446144\", alpha=\"0.09\", expect_size=\"30723072\"] \n  20 -> 26 [size =\"30723072\"]\n  21 [size=\"97984512\", alpha=\"0.08\", expect_size=\"48992256\"] \n  21 -> 25 [size =\"48992256\"]\n  21 -> 27 [size =\"48992256\"]\n  21 -> 28 [size =\"48992256\"]\n  21 -> 29 [size =\"48992256\"]\n  21 -> 30 [size =\"48992256\"]\n  22 [size=\"93227008\", alpha=\"0.11\", expect_size=\"46613504\"] \n  22 -> 24 [size =\"46613504\"]\n  22 -> 26 [size =\"46613504\"]\n  22 -> 27 [size =\"46613504\"]\n  22 -> 29 [size =\"46613504\"]\n  22 -> 30 [size =\"46613504\"]\n  23 [size=\"58040320\", alpha=\"0.02\", expect_size=\"29020160\"] \n  23 -> 25 [size =\"29020160\"]\n  23 -> 26 [size =\"29020160\"]\n  23 -> 27 [size =\"29020160\"]\n  23 -> 29 [size =\"29020160\"]\n  24 [size=\"92790784\", alpha=\"0.11\", expect_size=\"46395392\"] \n  24 -> 32 [size =\"46395392\"]\n  24 -> 34 [size =\"46395392\"]\n  25 [size=\"57221120\", alpha=\"0.01\", expect_size=\"28610560\"] \n  25 -> 32 [size =\"28610560\"]\n  25 -> 33 [size =\"28610560\"]\n  26 [size=\"100773888\", alpha=\"0.16\", expect_size=\"50386944\"] \n  26 -> 31 [size =\"50386944\"]\n  26 -> 33 [size =\"50386944\"]\n  26 -> 35 [size =\"50386944\"]\n  27 [size=\"98813952\", alpha=\"0.15\", expect_size=\"49406976\"] \n  27 -> 31 [size =\"49406976\"]\n  27 -> 34 [size =\"49406976\"]\n  28 [size=\"91523072\", alpha=\"0.05\", expect_size=\"45761536\"] \n  28 -> 34 [size =\"45761536\"]\n  28 -> 35 [size =\"45761536\"]\n  29 [size=\"70105088\", alpha=\"0.00\", expect_size=\"35052544\"] \n  29 -> 33 [size =\"35052544\"]\n  29 -> 34 [size =\"35052544\"]\n  29 -> 35 [size =\"35052544\"]\n  30 [size=\"13721600\", alpha=\"0.15\", expect_size=\"6860800\"] \n  30 -> 33 [size =\"6860800\"]\n  31 [size=\"54913024\", alpha=\"0.19\", expect_size=\"27456512\"] \n  31 -> 37 [size =\"27456512\"]\n  31 -> 38 [size =\"27456512\"]\n  31 -> 39 [size =\"27456512\"]\n  31 -> 40 [size =\"27456512\"]\n  31 -> 41 [size =\"27456512\"]\n  32 [size=\"91654144\", alpha=\"0.15\", expect_size=\"45827072\"] \n  32 -> 36 [size =\"45827072\"]\n  33 [size=\"49223680\", alpha=\"0.10\", expect_size=\"24611840\"] \n  33 -> 36 [size =\"24611840\"]\n  33 -> 37 [size =\"24611840\"]\n  33 -> 38 [size =\"24611840\"]\n  33 -> 39 [size =\"24611840\"]\n  33 -> 41 [size =\"24611840\"]\n  34 [size=\"57247744\", alpha=\"0.05\", expect_size=\"28623872\"] \n  34 -> 41 [size =\"28623872\"]\n  35 [size=\"13518848\", alpha=\"0.14\", expect_size=\"6759424\"] \n  35 -> 36 [size =\"6759424\"]\n  35 -> 37 [size =\"6759424\"]\n  35 -> 38 [size =\"6759424\"]\n  36 [size=\"20359168\", alpha=\"0.13\", expect_size=\"10179584\"] \n  36 -> 42 [size =\"10179584\"]\n  36 -> 43 [size =\"10179584\"]\n  36 -> 44 [size =\"10179584\"]\n  36 -> 45 [size =\"10179584\"]\n  37 [size=\"94294016\", alpha=\"0.16\", expect_size=\"47147008\"] \n  37 -> 43 [size =\"47147008\"]\n  37 -> 44 [size =\"47147008\"]\n  38 [size=\"68421632\", alpha=\"0.08\", expect_size=\"34210816\"] \n  39 [size=\"92966912\", alpha=\"0.17\", expect_size=\"46483456\"] \n  39 -> 42 [size =\"46483456\"]\n  39 -> 43 [size =\"46483456\"]\n  39 -> 45 [size =\"46483456\"]\n  40 [size=\"93241344\", alpha=\"0.16\", expect_size=\"46620672\"] \n  40 -> 43 [size =\"46620672\"]\n  40 -> 44 [size =\"46620672\"]\n  40 -> 45 [size =\"46620672\"]\n  41 [size=\"69918720\", alpha=\"0.14\", expect_size=\"34959360\"] \n  41 -> 42 [size =\"34959360\"]\n  41 -> 43 [size =\"34959360\"]\n  41 -> 45 [size =\"34959360\"]\n  42 [size=\"65906688\", alpha=\"0.10\", expect_size=\"32953344\"] \n  43 [size=\"41750528\", alpha=\"0.16\", expect_size=\"20875264\"] \n  44 [size=\"86749184\", alpha=\"0.19\", expect_size=\"43374592\"] \n  45 [size=\"14286848\", alpha=\"0.13\", expect_size=\"7143424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157194240\", alpha=\"0.13\", expect_size=\"47158272\"] \n  1 -> 34 [size =\"47158272\"]\n  1 -> 35 [size =\"47158272\"]\n  1 -> 43 [size =\"47158272\"]\n  2 [size=\"151292587\", alpha=\"0.11\", expect_size=\"45387776\"] \n  2 -> 35 [size =\"45387776\"]\n  2 -> 39 [size =\"45387776\"]\n  2 -> 43 [size =\"45387776\"]\n  3 [size=\"101690027\", alpha=\"0.13\", expect_size=\"30507008\"] \n  3 -> 32 [size =\"30507008\"]\n  3 -> 33 [size =\"30507008\"]\n  3 -> 36 [size =\"30507008\"]\n  3 -> 39 [size =\"30507008\"]\n  3 -> 43 [size =\"30507008\"]\n  4 [size=\"102195200\", alpha=\"0.19\", expect_size=\"30658560\"] \n  4 -> 31 [size =\"30658560\"]\n  4 -> 32 [size =\"30658560\"]\n  4 -> 33 [size =\"30658560\"]\n  4 -> 36 [size =\"30658560\"]\n  4 -> 39 [size =\"30658560\"]\n  4 -> 42 [size =\"30658560\"]\n  4 -> 43 [size =\"30658560\"]\n  4 -> 45 [size =\"30658560\"]\n  5 [size=\"153470293\", alpha=\"0.19\", expect_size=\"46041088\"] \n  5 -> 31 [size =\"46041088\"]\n  5 -> 32 [size =\"46041088\"]\n  5 -> 33 [size =\"46041088\"]\n  5 -> 39 [size =\"46041088\"]\n  5 -> 41 [size =\"46041088\"]\n  5 -> 43 [size =\"46041088\"]\n  5 -> 45 [size =\"46041088\"]\n  6 [size=\"89002667\", alpha=\"0.10\", expect_size=\"26700800\"] \n  6 -> 31 [size =\"26700800\"]\n  6 -> 32 [size =\"26700800\"]\n  6 -> 33 [size =\"26700800\"]\n  6 -> 35 [size =\"26700800\"]\n  6 -> 41 [size =\"26700800\"]\n  6 -> 43 [size =\"26700800\"]\n  6 -> 45 [size =\"26700800\"]\n  7 [size=\"55200427\", alpha=\"0.14\", expect_size=\"16560128\"] \n  7 -> 30 [size =\"16560128\"]\n  7 -> 32 [size =\"16560128\"]\n  7 -> 33 [size =\"16560128\"]\n  7 -> 34 [size =\"16560128\"]\n  7 -> 41 [size =\"16560128\"]\n  7 -> 45 [size =\"16560128\"]\n  8 [size=\"85104640\", alpha=\"0.04\", expect_size=\"25531392\"] \n  8 -> 31 [size =\"25531392\"]\n  8 -> 33 [size =\"25531392\"]\n  8 -> 33 [size =\"25531392\"]\n  8 -> 34 [size =\"25531392\"]\n  8 -> 42 [size =\"25531392\"]\n  9 [size=\"43543893\", alpha=\"0.08\", expect_size=\"13063168\"] \n  9 -> 35 [size =\"13063168\"]\n  9 -> 39 [size =\"13063168\"]\n  9 -> 40 [size =\"13063168\"]\n  10 [size=\"133314560\", alpha=\"0.17\", expect_size=\"39994368\"] \n  10 -> 30 [size =\"39994368\"]\n  10 -> 33 [size =\"39994368\"]\n  10 -> 34 [size =\"39994368\"]\n  10 -> 43 [size =\"39994368\"]\n  11 [size=\"124757333\", alpha=\"0.05\", expect_size=\"37427200\"] \n  11 -> 30 [size =\"37427200\"]\n  11 -> 31 [size =\"37427200\"]\n  11 -> 32 [size =\"37427200\"]\n  11 -> 34 [size =\"37427200\"]\n  11 -> 37 [size =\"37427200\"]\n  11 -> 39 [size =\"37427200\"]\n  12 [size=\"72765440\", alpha=\"0.03\", expect_size=\"21829632\"] \n  12 -> 30 [size =\"21829632\"]\n  12 -> 33 [size =\"21829632\"]\n  12 -> 34 [size =\"21829632\"]\n  12 -> 35 [size =\"21829632\"]\n  12 -> 39 [size =\"21829632\"]\n  12 -> 43 [size =\"21829632\"]\n  13 [size=\"157849600\", alpha=\"0.08\", expect_size=\"47354880\"] \n  13 -> 30 [size =\"47354880\"]\n  13 -> 33 [size =\"47354880\"]\n  13 -> 35 [size =\"47354880\"]\n  13 -> 39 [size =\"47354880\"]\n  13 -> 43 [size =\"47354880\"]\n  14 [size=\"102778880\", alpha=\"0.18\", expect_size=\"30833664\"] \n  14 -> 31 [size =\"30833664\"]\n  14 -> 32 [size =\"30833664\"]\n  14 -> 33 [size =\"30833664\"]\n  14 -> 34 [size =\"30833664\"]\n  14 -> 39 [size =\"30833664\"]\n  14 -> 41 [size =\"30833664\"]\n  14 -> 42 [size =\"30833664\"]\n  15 [size=\"98399573\", alpha=\"0.11\", expect_size=\"29519872\"] \n  15 -> 33 [size =\"29519872\"]\n  15 -> 34 [size =\"29519872\"]\n  15 -> 37 [size =\"29519872\"]\n  15 -> 38 [size =\"29519872\"]\n  15 -> 41 [size =\"29519872\"]\n  15 -> 43 [size =\"29519872\"]\n  16 [size=\"89647787\", alpha=\"0.04\", expect_size=\"26894336\"] \n  16 -> 31 [size =\"26894336\"]\n  16 -> 32 [size =\"26894336\"]\n  16 -> 33 [size =\"26894336\"]\n  16 -> 39 [size =\"26894336\"]\n  16 -> 41 [size =\"26894336\"]\n  16 -> 42 [size =\"26894336\"]\n  16 -> 43 [size =\"26894336\"]\n  17 [size=\"170021547\", alpha=\"0.03\", expect_size=\"51006464\"] \n  17 -> 31 [size =\"51006464\"]\n  17 -> 41 [size =\"51006464\"]\n  17 -> 45 [size =\"51006464\"]\n  18 [size=\"120132267\", alpha=\"0.13\", expect_size=\"36039680\"] \n  18 -> 31 [size =\"36039680\"]\n  18 -> 33 [size =\"36039680\"]\n  18 -> 39 [size =\"36039680\"]\n  18 -> 41 [size =\"36039680\"]\n  18 -> 45 [size =\"36039680\"]\n  19 [size=\"155521707\", alpha=\"0.20\", expect_size=\"46656512\"] \n  19 -> 30 [size =\"46656512\"]\n  19 -> 38 [size =\"46656512\"]\n  19 -> 39 [size =\"46656512\"]\n  19 -> 41 [size =\"46656512\"]\n  19 -> 42 [size =\"46656512\"]\n  19 -> 43 [size =\"46656512\"]\n  20 [size=\"57733120\", alpha=\"0.12\", expect_size=\"17319936\"] \n  20 -> 32 [size =\"17319936\"]\n  20 -> 33 [size =\"17319936\"]\n  20 -> 34 [size =\"17319936\"]\n  20 -> 38 [size =\"17319936\"]\n  20 -> 42 [size =\"17319936\"]\n  21 [size=\"34631680\", alpha=\"0.02\", expect_size=\"10389504\"] \n  21 -> 32 [size =\"10389504\"]\n  21 -> 34 [size =\"10389504\"]\n  21 -> 38 [size =\"10389504\"]\n  21 -> 39 [size =\"10389504\"]\n  21 -> 43 [size =\"10389504\"]\n  22 [size=\"71782400\", alpha=\"0.08\", expect_size=\"21534720\"] \n  22 -> 31 [size =\"21534720\"]\n  22 -> 34 [size =\"21534720\"]\n  22 -> 37 [size =\"21534720\"]\n  22 -> 38 [size =\"21534720\"]\n  23 [size=\"97993387\", alpha=\"0.06\", expect_size=\"29398016\"] \n  23 -> 31 [size =\"29398016\"]\n  23 -> 34 [size =\"29398016\"]\n  23 -> 36 [size =\"29398016\"]\n  23 -> 37 [size =\"29398016\"]\n  23 -> 39 [size =\"29398016\"]\n  23 -> 45 [size =\"29398016\"]\n  24 [size=\"161187840\", alpha=\"0.14\", expect_size=\"48356352\"] \n  24 -> 30 [size =\"48356352\"]\n  24 -> 34 [size =\"48356352\"]\n  24 -> 36 [size =\"48356352\"]\n  24 -> 37 [size =\"48356352\"]\n  24 -> 38 [size =\"48356352\"]\n  24 -> 41 [size =\"48356352\"]\n  24 -> 43 [size =\"48356352\"]\n  25 [size=\"143295147\", alpha=\"0.20\", expect_size=\"42988544\"] \n  25 -> 30 [size =\"42988544\"]\n  25 -> 36 [size =\"42988544\"]\n  25 -> 36 [size =\"42988544\"]\n  25 -> 37 [size =\"42988544\"]\n  26 [size=\"72830293\", alpha=\"0.14\", expect_size=\"21849088\"] \n  26 -> 31 [size =\"21849088\"]\n  26 -> 32 [size =\"21849088\"]\n  27 [size=\"104328533\", alpha=\"0.14\", expect_size=\"31298560\"] \n  27 -> 31 [size =\"31298560\"]\n  27 -> 32 [size =\"31298560\"]\n  27 -> 33 [size =\"31298560\"]\n  27 -> 40 [size =\"31298560\"]\n  27 -> 43 [size =\"31298560\"]\n  27 -> 44 [size =\"31298560\"]\n  28 [size=\"128846507\", alpha=\"0.02\", expect_size=\"38653952\"] \n  28 -> 31 [size =\"38653952\"]\n  28 -> 43 [size =\"38653952\"]\n  28 -> 45 [size =\"38653952\"]\n  29 [size=\"72833707\", alpha=\"0.13\", expect_size=\"21850112\"] \n  29 -> 37 [size =\"21850112\"]\n  29 -> 40 [size =\"21850112\"]\n  29 -> 43 [size =\"21850112\"]\n  29 -> 45 [size =\"21850112\"]\n  30 [size=\"71587840\", alpha=\"0.19\", expect_size=\"21476352\"] \n  31 [size=\"164611413\", alpha=\"0.19\", expect_size=\"49383424\"] \n  32 [size=\"19770027\", alpha=\"0.06\", expect_size=\"5931008\"] \n  33 [size=\"85452800\", alpha=\"0.10\", expect_size=\"25635840\"] \n  34 [size=\"131300693\", alpha=\"0.06\", expect_size=\"39390208\"] \n  35 [size=\"84756480\", alpha=\"0.11\", expect_size=\"25426944\"] \n  36 [size=\"81810773\", alpha=\"0.06\", expect_size=\"24543232\"] \n  37 [size=\"36706987\", alpha=\"0.01\", expect_size=\"11012096\"] \n  38 [size=\"144459093\", alpha=\"0.08\", expect_size=\"43337728\"] \n  39 [size=\"158122667\", alpha=\"0.13\", expect_size=\"47436800\"] \n  40 [size=\"103768747\", alpha=\"0.03\", expect_size=\"31130624\"] \n  41 [size=\"97235627\", alpha=\"0.15\", expect_size=\"29170688\"] \n  42 [size=\"88521387\", alpha=\"0.14\", expect_size=\"26556416\"] \n  43 [size=\"132918613\", alpha=\"0.04\", expect_size=\"39875584\"] \n  44 [size=\"56221013\", alpha=\"0.11\", expect_size=\"16866304\"] \n  45 [size=\"101027840\", alpha=\"0.15\", expect_size=\"30308352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91869867\", alpha=\"0.10\", expect_size=\"27560960\"] \n  1 -> 12 [size =\"27560960\"]\n  1 -> 13 [size =\"27560960\"]\n  1 -> 14 [size =\"27560960\"]\n  1 -> 16 [size =\"27560960\"]\n  1 -> 19 [size =\"27560960\"]\n  1 -> 21 [size =\"27560960\"]\n  1 -> 23 [size =\"27560960\"]\n  1 -> 25 [size =\"27560960\"]\n  2 [size=\"163420160\", alpha=\"0.20\", expect_size=\"49026048\"] \n  2 -> 13 [size =\"49026048\"]\n  2 -> 14 [size =\"49026048\"]\n  2 -> 14 [size =\"49026048\"]\n  2 -> 21 [size =\"49026048\"]\n  2 -> 22 [size =\"49026048\"]\n  3 [size=\"124532053\", alpha=\"0.04\", expect_size=\"37359616\"] \n  4 [size=\"37990400\", alpha=\"0.11\", expect_size=\"11397120\"] \n  4 -> 12 [size =\"11397120\"]\n  4 -> 15 [size =\"11397120\"]\n  4 -> 16 [size =\"11397120\"]\n  4 -> 25 [size =\"11397120\"]\n  5 [size=\"173632853\", alpha=\"0.05\", expect_size=\"52089856\"] \n  5 -> 12 [size =\"52089856\"]\n  5 -> 15 [size =\"52089856\"]\n  5 -> 21 [size =\"52089856\"]\n  6 [size=\"96266240\", alpha=\"0.17\", expect_size=\"28879872\"] \n  6 -> 12 [size =\"28879872\"]\n  6 -> 14 [size =\"28879872\"]\n  6 -> 16 [size =\"28879872\"]\n  6 -> 18 [size =\"28879872\"]\n  6 -> 19 [size =\"28879872\"]\n  6 -> 21 [size =\"28879872\"]\n  7 [size=\"142759253\", alpha=\"0.04\", expect_size=\"42827776\"] \n  7 -> 11 [size =\"42827776\"]\n  7 -> 14 [size =\"42827776\"]\n  7 -> 16 [size =\"42827776\"]\n  7 -> 18 [size =\"42827776\"]\n  7 -> 19 [size =\"42827776\"]\n  7 -> 23 [size =\"42827776\"]\n  8 [size=\"44076373\", alpha=\"0.09\", expect_size=\"13222912\"] \n  8 -> 12 [size =\"13222912\"]\n  8 -> 18 [size =\"13222912\"]\n  8 -> 19 [size =\"13222912\"]\n  9 [size=\"121763840\", alpha=\"0.19\", expect_size=\"36529152\"] \n  9 -> 19 [size =\"36529152\"]\n  9 -> 24 [size =\"36529152\"]\n  10 [size=\"129771520\", alpha=\"0.05\", expect_size=\"38931456\"] \n  10 -> 11 [size =\"38931456\"]\n  10 -> 16 [size =\"38931456\"]\n  10 -> 17 [size =\"38931456\"]\n  10 -> 20 [size =\"38931456\"]\n  10 -> 21 [size =\"38931456\"]\n  10 -> 24 [size =\"38931456\"]\n  10 -> 25 [size =\"38931456\"]\n  11 [size=\"105284267\", alpha=\"0.15\", expect_size=\"31585280\"] \n  11 -> 26 [size =\"31585280\"]\n  11 -> 27 [size =\"31585280\"]\n  11 -> 28 [size =\"31585280\"]\n  11 -> 30 [size =\"31585280\"]\n  11 -> 31 [size =\"31585280\"]\n  11 -> 32 [size =\"31585280\"]\n  12 [size=\"28900693\", alpha=\"0.14\", expect_size=\"8670208\"] \n  12 -> 28 [size =\"8670208\"]\n  12 -> 29 [size =\"8670208\"]\n  12 -> 32 [size =\"8670208\"]\n  12 -> 35 [size =\"8670208\"]\n  13 [size=\"27316907\", alpha=\"0.05\", expect_size=\"8195072\"] \n  13 -> 26 [size =\"8195072\"]\n  13 -> 29 [size =\"8195072\"]\n  13 -> 30 [size =\"8195072\"]\n  14 [size=\"57050453\", alpha=\"0.11\", expect_size=\"17115136\"] \n  14 -> 26 [size =\"17115136\"]\n  14 -> 27 [size =\"17115136\"]\n  14 -> 28 [size =\"17115136\"]\n  14 -> 30 [size =\"17115136\"]\n  14 -> 32 [size =\"17115136\"]\n  14 -> 37 [size =\"17115136\"]\n  15 [size=\"142789973\", alpha=\"0.16\", expect_size=\"42836992\"] \n  15 -> 27 [size =\"42836992\"]\n  15 -> 27 [size =\"42836992\"]\n  15 -> 28 [size =\"42836992\"]\n  15 -> 31 [size =\"42836992\"]\n  15 -> 32 [size =\"42836992\"]\n  15 -> 36 [size =\"42836992\"]\n  15 -> 37 [size =\"42836992\"]\n  16 [size=\"21391360\", alpha=\"0.15\", expect_size=\"6417408\"] \n  16 -> 27 [size =\"6417408\"]\n  16 -> 31 [size =\"6417408\"]\n  16 -> 36 [size =\"6417408\"]\n  16 -> 37 [size =\"6417408\"]\n  17 [size=\"157969067\", alpha=\"0.06\", expect_size=\"47390720\"] \n  17 -> 26 [size =\"47390720\"]\n  17 -> 30 [size =\"47390720\"]\n  17 -> 31 [size =\"47390720\"]\n  17 -> 32 [size =\"47390720\"]\n  17 -> 37 [size =\"47390720\"]\n  18 [size=\"28419413\", alpha=\"0.12\", expect_size=\"8525824\"] \n  18 -> 26 [size =\"8525824\"]\n  18 -> 28 [size =\"8525824\"]\n  18 -> 30 [size =\"8525824\"]\n  18 -> 33 [size =\"8525824\"]\n  19 [size=\"96651947\", alpha=\"0.06\", expect_size=\"28995584\"] \n  19 -> 26 [size =\"28995584\"]\n  19 -> 29 [size =\"28995584\"]\n  19 -> 30 [size =\"28995584\"]\n  20 [size=\"88132267\", alpha=\"0.13\", expect_size=\"26439680\"] \n  21 [size=\"126078293\", alpha=\"0.10\", expect_size=\"37823488\"] \n  21 -> 29 [size =\"37823488\"]\n  21 -> 34 [size =\"37823488\"]\n  21 -> 36 [size =\"37823488\"]\n  22 [size=\"87313067\", alpha=\"0.05\", expect_size=\"26193920\"] \n  22 -> 26 [size =\"26193920\"]\n  22 -> 27 [size =\"26193920\"]\n  22 -> 29 [size =\"26193920\"]\n  22 -> 36 [size =\"26193920\"]\n  22 -> 37 [size =\"26193920\"]\n  23 [size=\"40823467\", alpha=\"0.14\", expect_size=\"12247040\"] \n  23 -> 28 [size =\"12247040\"]\n  23 -> 29 [size =\"12247040\"]\n  23 -> 29 [size =\"12247040\"]\n  23 -> 36 [size =\"12247040\"]\n  23 -> 37 [size =\"12247040\"]\n  24 [size=\"76639573\", alpha=\"0.06\", expect_size=\"22991872\"] \n  24 -> 27 [size =\"22991872\"]\n  24 -> 30 [size =\"22991872\"]\n  24 -> 32 [size =\"22991872\"]\n  24 -> 35 [size =\"22991872\"]\n  24 -> 36 [size =\"22991872\"]\n  25 [size=\"165696853\", alpha=\"0.17\", expect_size=\"49709056\"] \n  25 -> 32 [size =\"49709056\"]\n  25 -> 36 [size =\"49709056\"]\n  25 -> 37 [size =\"49709056\"]\n  26 [size=\"136270507\", alpha=\"0.18\", expect_size=\"40881152\"] \n  26 -> 38 [size =\"40881152\"]\n  26 -> 42 [size =\"40881152\"]\n  26 -> 44 [size =\"40881152\"]\n  26 -> 45 [size =\"40881152\"]\n  27 [size=\"99979947\", alpha=\"0.16\", expect_size=\"29993984\"] \n  27 -> 38 [size =\"29993984\"]\n  27 -> 45 [size =\"29993984\"]\n  28 [size=\"149121707\", alpha=\"0.17\", expect_size=\"44736512\"] \n  28 -> 38 [size =\"44736512\"]\n  28 -> 40 [size =\"44736512\"]\n  28 -> 45 [size =\"44736512\"]\n  29 [size=\"87446187\", alpha=\"0.11\", expect_size=\"26233856\"] \n  29 -> 38 [size =\"26233856\"]\n  29 -> 44 [size =\"26233856\"]\n  30 [size=\"132608000\", alpha=\"0.19\", expect_size=\"39782400\"] \n  30 -> 39 [size =\"39782400\"]\n  30 -> 42 [size =\"39782400\"]\n  31 [size=\"77919573\", alpha=\"0.18\", expect_size=\"23375872\"] \n  31 -> 42 [size =\"23375872\"]\n  32 [size=\"155067733\", alpha=\"0.19\", expect_size=\"46520320\"] \n  32 -> 40 [size =\"46520320\"]\n  32 -> 41 [size =\"46520320\"]\n  32 -> 43 [size =\"46520320\"]\n  33 [size=\"38133760\", alpha=\"0.01\", expect_size=\"11440128\"] \n  34 [size=\"148753067\", alpha=\"0.08\", expect_size=\"44625920\"] \n  34 -> 38 [size =\"44625920\"]\n  34 -> 40 [size =\"44625920\"]\n  34 -> 43 [size =\"44625920\"]\n  34 -> 44 [size =\"44625920\"]\n  34 -> 45 [size =\"44625920\"]\n  35 [size=\"35584000\", alpha=\"0.12\", expect_size=\"10675200\"] \n  35 -> 38 [size =\"10675200\"]\n  35 -> 43 [size =\"10675200\"]\n  35 -> 45 [size =\"10675200\"]\n  36 [size=\"169355947\", alpha=\"0.15\", expect_size=\"50806784\"] \n  36 -> 42 [size =\"50806784\"]\n  36 -> 43 [size =\"50806784\"]\n  36 -> 44 [size =\"50806784\"]\n  37 [size=\"156999680\", alpha=\"0.17\", expect_size=\"47099904\"] \n  38 [size=\"123805013\", alpha=\"0.19\", expect_size=\"37141504\"] \n  39 [size=\"96372053\", alpha=\"0.12\", expect_size=\"28911616\"] \n  40 [size=\"21698560\", alpha=\"0.14\", expect_size=\"6509568\"] \n  41 [size=\"169376427\", alpha=\"0.10\", expect_size=\"50812928\"] \n  42 [size=\"155347627\", alpha=\"0.15\", expect_size=\"46604288\"] \n  43 [size=\"148333227\", alpha=\"0.02\", expect_size=\"44499968\"] \n  44 [size=\"158170453\", alpha=\"0.17\", expect_size=\"47451136\"] \n  45 [size=\"67150507\", alpha=\"0.11\", expect_size=\"20145152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159218347\", alpha=\"0.17\", expect_size=\"47765504\"] \n  1 -> 29 [size =\"47765504\"]\n  1 -> 30 [size =\"47765504\"]\n  1 -> 31 [size =\"47765504\"]\n  2 [size=\"167591253\", alpha=\"0.00\", expect_size=\"50277376\"] \n  2 -> 31 [size =\"50277376\"]\n  2 -> 35 [size =\"50277376\"]\n  2 -> 39 [size =\"50277376\"]\n  3 [size=\"105915733\", alpha=\"0.04\", expect_size=\"31774720\"] \n  3 -> 29 [size =\"31774720\"]\n  3 -> 32 [size =\"31774720\"]\n  3 -> 34 [size =\"31774720\"]\n  3 -> 35 [size =\"31774720\"]\n  3 -> 38 [size =\"31774720\"]\n  3 -> 39 [size =\"31774720\"]\n  3 -> 40 [size =\"31774720\"]\n  3 -> 43 [size =\"31774720\"]\n  3 -> 45 [size =\"31774720\"]\n  4 [size=\"150766933\", alpha=\"0.05\", expect_size=\"45230080\"] \n  4 -> 31 [size =\"45230080\"]\n  4 -> 32 [size =\"45230080\"]\n  4 -> 37 [size =\"45230080\"]\n  4 -> 38 [size =\"45230080\"]\n  4 -> 39 [size =\"45230080\"]\n  5 [size=\"68106240\", alpha=\"0.07\", expect_size=\"20431872\"] \n  5 -> 30 [size =\"20431872\"]\n  5 -> 33 [size =\"20431872\"]\n  6 [size=\"139424427\", alpha=\"0.06\", expect_size=\"41827328\"] \n  6 -> 31 [size =\"41827328\"]\n  6 -> 33 [size =\"41827328\"]\n  6 -> 37 [size =\"41827328\"]\n  6 -> 38 [size =\"41827328\"]\n  6 -> 40 [size =\"41827328\"]\n  7 [size=\"33351680\", alpha=\"0.04\", expect_size=\"10005504\"] \n  7 -> 33 [size =\"10005504\"]\n  7 -> 33 [size =\"10005504\"]\n  7 -> 34 [size =\"10005504\"]\n  7 -> 36 [size =\"10005504\"]\n  7 -> 38 [size =\"10005504\"]\n  8 [size=\"140943360\", alpha=\"0.03\", expect_size=\"42283008\"] \n  8 -> 31 [size =\"42283008\"]\n  8 -> 32 [size =\"42283008\"]\n  8 -> 36 [size =\"42283008\"]\n  8 -> 38 [size =\"42283008\"]\n  8 -> 42 [size =\"42283008\"]\n  9 [size=\"51172693\", alpha=\"0.07\", expect_size=\"15351808\"] \n  9 -> 30 [size =\"15351808\"]\n  9 -> 35 [size =\"15351808\"]\n  9 -> 36 [size =\"15351808\"]\n  9 -> 41 [size =\"15351808\"]\n  9 -> 43 [size =\"15351808\"]\n  9 -> 44 [size =\"15351808\"]\n  9 -> 45 [size =\"15351808\"]\n  10 [size=\"144220160\", alpha=\"0.12\", expect_size=\"43266048\"] \n  10 -> 29 [size =\"43266048\"]\n  10 -> 30 [size =\"43266048\"]\n  10 -> 32 [size =\"43266048\"]\n  10 -> 37 [size =\"43266048\"]\n  10 -> 38 [size =\"43266048\"]\n  10 -> 41 [size =\"43266048\"]\n  10 -> 42 [size =\"43266048\"]\n  11 [size=\"146046293\", alpha=\"0.02\", expect_size=\"43813888\"] \n  11 -> 36 [size =\"43813888\"]\n  12 [size=\"120965120\", alpha=\"0.07\", expect_size=\"36289536\"] \n  12 -> 31 [size =\"36289536\"]\n  12 -> 32 [size =\"36289536\"]\n  12 -> 33 [size =\"36289536\"]\n  12 -> 37 [size =\"36289536\"]\n  12 -> 42 [size =\"36289536\"]\n  13 [size=\"123702613\", alpha=\"0.00\", expect_size=\"37110784\"] \n  13 -> 29 [size =\"37110784\"]\n  13 -> 34 [size =\"37110784\"]\n  13 -> 37 [size =\"37110784\"]\n  13 -> 38 [size =\"37110784\"]\n  13 -> 40 [size =\"37110784\"]\n  14 [size=\"155009707\", alpha=\"0.10\", expect_size=\"46502912\"] \n  14 -> 29 [size =\"46502912\"]\n  14 -> 34 [size =\"46502912\"]\n  14 -> 37 [size =\"46502912\"]\n  14 -> 40 [size =\"46502912\"]\n  15 [size=\"34443947\", alpha=\"0.09\", expect_size=\"10333184\"] \n  15 -> 32 [size =\"10333184\"]\n  15 -> 33 [size =\"10333184\"]\n  16 [size=\"90378240\", alpha=\"0.02\", expect_size=\"27113472\"] \n  16 -> 30 [size =\"27113472\"]\n  16 -> 40 [size =\"27113472\"]\n  17 [size=\"141397333\", alpha=\"0.01\", expect_size=\"42419200\"] \n  17 -> 30 [size =\"42419200\"]\n  17 -> 38 [size =\"42419200\"]\n  17 -> 40 [size =\"42419200\"]\n  17 -> 42 [size =\"42419200\"]\n  18 [size=\"173199360\", alpha=\"0.04\", expect_size=\"51959808\"] \n  18 -> 30 [size =\"51959808\"]\n  18 -> 31 [size =\"51959808\"]\n  18 -> 33 [size =\"51959808\"]\n  18 -> 37 [size =\"51959808\"]\n  18 -> 39 [size =\"51959808\"]\n  18 -> 40 [size =\"51959808\"]\n  19 [size=\"36065280\", alpha=\"0.00\", expect_size=\"10819584\"] \n  19 -> 29 [size =\"10819584\"]\n  19 -> 30 [size =\"10819584\"]\n  19 -> 32 [size =\"10819584\"]\n  19 -> 37 [size =\"10819584\"]\n  19 -> 40 [size =\"10819584\"]\n  19 -> 42 [size =\"10819584\"]\n  20 [size=\"90951680\", alpha=\"0.04\", expect_size=\"27285504\"] \n  20 -> 29 [size =\"27285504\"]\n  20 -> 32 [size =\"27285504\"]\n  20 -> 38 [size =\"27285504\"]\n  20 -> 40 [size =\"27285504\"]\n  21 [size=\"30750720\", alpha=\"0.06\", expect_size=\"9225216\"] \n  21 -> 29 [size =\"9225216\"]\n  21 -> 30 [size =\"9225216\"]\n  21 -> 33 [size =\"9225216\"]\n  21 -> 34 [size =\"9225216\"]\n  21 -> 38 [size =\"9225216\"]\n  21 -> 39 [size =\"9225216\"]\n  21 -> 40 [size =\"9225216\"]\n  21 -> 42 [size =\"9225216\"]\n  21 -> 43 [size =\"9225216\"]\n  22 [size=\"46878720\", alpha=\"0.07\", expect_size=\"14063616\"] \n  22 -> 29 [size =\"14063616\"]\n  22 -> 33 [size =\"14063616\"]\n  22 -> 34 [size =\"14063616\"]\n  22 -> 36 [size =\"14063616\"]\n  22 -> 39 [size =\"14063616\"]\n  23 [size=\"100352000\", alpha=\"0.19\", expect_size=\"30105600\"] \n  23 -> 32 [size =\"30105600\"]\n  23 -> 37 [size =\"30105600\"]\n  23 -> 38 [size =\"30105600\"]\n  23 -> 42 [size =\"30105600\"]\n  24 [size=\"100430507\", alpha=\"0.08\", expect_size=\"30129152\"] \n  24 -> 29 [size =\"30129152\"]\n  24 -> 30 [size =\"30129152\"]\n  24 -> 37 [size =\"30129152\"]\n  24 -> 40 [size =\"30129152\"]\n  24 -> 42 [size =\"30129152\"]\n  24 -> 43 [size =\"30129152\"]\n  25 [size=\"20794027\", alpha=\"0.03\", expect_size=\"6238208\"] \n  25 -> 31 [size =\"6238208\"]\n  25 -> 33 [size =\"6238208\"]\n  25 -> 34 [size =\"6238208\"]\n  25 -> 35 [size =\"6238208\"]\n  25 -> 37 [size =\"6238208\"]\n  25 -> 39 [size =\"6238208\"]\n  25 -> 40 [size =\"6238208\"]\n  25 -> 42 [size =\"6238208\"]\n  26 [size=\"93149867\", alpha=\"0.14\", expect_size=\"27944960\"] \n  26 -> 30 [size =\"27944960\"]\n  26 -> 31 [size =\"27944960\"]\n  26 -> 34 [size =\"27944960\"]\n  26 -> 35 [size =\"27944960\"]\n  26 -> 36 [size =\"27944960\"]\n  26 -> 42 [size =\"27944960\"]\n  27 [size=\"105263787\", alpha=\"0.07\", expect_size=\"31579136\"] \n  27 -> 29 [size =\"31579136\"]\n  27 -> 33 [size =\"31579136\"]\n  27 -> 36 [size =\"31579136\"]\n  27 -> 38 [size =\"31579136\"]\n  27 -> 40 [size =\"31579136\"]\n  27 -> 45 [size =\"31579136\"]\n  28 [size=\"114182827\", alpha=\"0.15\", expect_size=\"34254848\"] \n  28 -> 30 [size =\"34254848\"]\n  28 -> 31 [size =\"34254848\"]\n  28 -> 33 [size =\"34254848\"]\n  28 -> 38 [size =\"34254848\"]\n  28 -> 39 [size =\"34254848\"]\n  28 -> 40 [size =\"34254848\"]\n  29 [size=\"144960853\", alpha=\"0.08\", expect_size=\"43488256\"] \n  30 [size=\"148807680\", alpha=\"0.17\", expect_size=\"44642304\"] \n  31 [size=\"24057173\", alpha=\"0.03\", expect_size=\"7217152\"] \n  32 [size=\"69737813\", alpha=\"0.01\", expect_size=\"20921344\"] \n  33 [size=\"121395200\", alpha=\"0.13\", expect_size=\"36418560\"] \n  34 [size=\"110182400\", alpha=\"0.03\", expect_size=\"33054720\"] \n  35 [size=\"169390080\", alpha=\"0.14\", expect_size=\"50817024\"] \n  36 [size=\"35078827\", alpha=\"0.15\", expect_size=\"10523648\"] \n  37 [size=\"143769600\", alpha=\"0.12\", expect_size=\"43130880\"] \n  38 [size=\"39482027\", alpha=\"0.09\", expect_size=\"11844608\"] \n  39 [size=\"160259413\", alpha=\"0.07\", expect_size=\"48077824\"] \n  40 [size=\"67938987\", alpha=\"0.16\", expect_size=\"20381696\"] \n  41 [size=\"46557867\", alpha=\"0.06\", expect_size=\"13967360\"] \n  42 [size=\"67396267\", alpha=\"0.19\", expect_size=\"20218880\"] \n  43 [size=\"76656640\", alpha=\"0.03\", expect_size=\"22996992\"] \n  44 [size=\"23285760\", alpha=\"0.18\", expect_size=\"6985728\"] \n  45 [size=\"44817067\", alpha=\"0.13\", expect_size=\"13445120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90936320\", alpha=\"0.16\", expect_size=\"36374528\"] \n  1 -> 34 [size =\"36374528\"]\n  1 -> 36 [size =\"36374528\"]\n  1 -> 43 [size =\"36374528\"]\n  1 -> 43 [size =\"36374528\"]\n  1 -> 44 [size =\"36374528\"]\n  2 [size=\"94039040\", alpha=\"0.15\", expect_size=\"37615616\"] \n  2 -> 29 [size =\"37615616\"]\n  2 -> 34 [size =\"37615616\"]\n  2 -> 35 [size =\"37615616\"]\n  2 -> 36 [size =\"37615616\"]\n  2 -> 41 [size =\"37615616\"]\n  2 -> 43 [size =\"37615616\"]\n  2 -> 44 [size =\"37615616\"]\n  2 -> 45 [size =\"37615616\"]\n  3 [size=\"125831680\", alpha=\"0.20\", expect_size=\"50332672\"] \n  3 -> 29 [size =\"50332672\"]\n  3 -> 34 [size =\"50332672\"]\n  3 -> 37 [size =\"50332672\"]\n  3 -> 41 [size =\"50332672\"]\n  3 -> 41 [size =\"50332672\"]\n  4 [size=\"27205120\", alpha=\"0.02\", expect_size=\"10882048\"] \n  4 -> 29 [size =\"10882048\"]\n  4 -> 31 [size =\"10882048\"]\n  4 -> 34 [size =\"10882048\"]\n  4 -> 35 [size =\"10882048\"]\n  4 -> 41 [size =\"10882048\"]\n  4 -> 43 [size =\"10882048\"]\n  4 -> 44 [size =\"10882048\"]\n  5 [size=\"59100160\", alpha=\"0.02\", expect_size=\"23640064\"] \n  5 -> 31 [size =\"23640064\"]\n  5 -> 34 [size =\"23640064\"]\n  5 -> 39 [size =\"23640064\"]\n  5 -> 44 [size =\"23640064\"]\n  6 [size=\"65100800\", alpha=\"0.12\", expect_size=\"26040320\"] \n  6 -> 35 [size =\"26040320\"]\n  6 -> 44 [size =\"26040320\"]\n  6 -> 45 [size =\"26040320\"]\n  7 [size=\"110824960\", alpha=\"0.04\", expect_size=\"44329984\"] \n  7 -> 31 [size =\"44329984\"]\n  7 -> 36 [size =\"44329984\"]\n  7 -> 39 [size =\"44329984\"]\n  7 -> 41 [size =\"44329984\"]\n  7 -> 42 [size =\"44329984\"]\n  8 [size=\"44846080\", alpha=\"0.05\", expect_size=\"17938432\"] \n  8 -> 31 [size =\"17938432\"]\n  8 -> 32 [size =\"17938432\"]\n  8 -> 35 [size =\"17938432\"]\n  8 -> 38 [size =\"17938432\"]\n  8 -> 41 [size =\"17938432\"]\n  9 [size=\"113287680\", alpha=\"0.19\", expect_size=\"45315072\"] \n  9 -> 29 [size =\"45315072\"]\n  9 -> 32 [size =\"45315072\"]\n  9 -> 33 [size =\"45315072\"]\n  9 -> 34 [size =\"45315072\"]\n  9 -> 35 [size =\"45315072\"]\n  9 -> 38 [size =\"45315072\"]\n  10 [size=\"26882560\", alpha=\"0.07\", expect_size=\"10753024\"] \n  10 -> 29 [size =\"10753024\"]\n  10 -> 35 [size =\"10753024\"]\n  10 -> 41 [size =\"10753024\"]\n  10 -> 43 [size =\"10753024\"]\n  11 [size=\"42833920\", alpha=\"0.17\", expect_size=\"17133568\"] \n  11 -> 31 [size =\"17133568\"]\n  11 -> 34 [size =\"17133568\"]\n  11 -> 35 [size =\"17133568\"]\n  11 -> 38 [size =\"17133568\"]\n  11 -> 44 [size =\"17133568\"]\n  12 [size=\"17049600\", alpha=\"0.18\", expect_size=\"6819840\"] \n  12 -> 29 [size =\"6819840\"]\n  12 -> 30 [size =\"6819840\"]\n  12 -> 31 [size =\"6819840\"]\n  12 -> 36 [size =\"6819840\"]\n  12 -> 44 [size =\"6819840\"]\n  13 [size=\"105512960\", alpha=\"0.04\", expect_size=\"42205184\"] \n  13 -> 32 [size =\"42205184\"]\n  13 -> 37 [size =\"42205184\"]\n  13 -> 39 [size =\"42205184\"]\n  13 -> 44 [size =\"42205184\"]\n  14 [size=\"103319040\", alpha=\"0.16\", expect_size=\"41327616\"] \n  14 -> 29 [size =\"41327616\"]\n  14 -> 34 [size =\"41327616\"]\n  14 -> 45 [size =\"41327616\"]\n  15 [size=\"114933760\", alpha=\"0.09\", expect_size=\"45973504\"] \n  15 -> 34 [size =\"45973504\"]\n  15 -> 35 [size =\"45973504\"]\n  15 -> 36 [size =\"45973504\"]\n  15 -> 39 [size =\"45973504\"]\n  15 -> 43 [size =\"45973504\"]\n  16 [size=\"126553600\", alpha=\"0.06\", expect_size=\"50621440\"] \n  16 -> 29 [size =\"50621440\"]\n  16 -> 39 [size =\"50621440\"]\n  16 -> 42 [size =\"50621440\"]\n  16 -> 43 [size =\"50621440\"]\n  17 [size=\"78494720\", alpha=\"0.06\", expect_size=\"31397888\"] \n  17 -> 29 [size =\"31397888\"]\n  17 -> 38 [size =\"31397888\"]\n  17 -> 39 [size =\"31397888\"]\n  17 -> 40 [size =\"31397888\"]\n  17 -> 41 [size =\"31397888\"]\n  18 [size=\"104432640\", alpha=\"0.11\", expect_size=\"41773056\"] \n  18 -> 30 [size =\"41773056\"]\n  18 -> 33 [size =\"41773056\"]\n  18 -> 35 [size =\"41773056\"]\n  18 -> 36 [size =\"41773056\"]\n  18 -> 41 [size =\"41773056\"]\n  19 [size=\"15759360\", alpha=\"0.06\", expect_size=\"6303744\"] \n  19 -> 33 [size =\"6303744\"]\n  19 -> 35 [size =\"6303744\"]\n  19 -> 35 [size =\"6303744\"]\n  19 -> 36 [size =\"6303744\"]\n  19 -> 41 [size =\"6303744\"]\n  20 [size=\"130168320\", alpha=\"0.12\", expect_size=\"52067328\"] \n  20 -> 29 [size =\"52067328\"]\n  20 -> 33 [size =\"52067328\"]\n  20 -> 36 [size =\"52067328\"]\n  20 -> 36 [size =\"52067328\"]\n  20 -> 39 [size =\"52067328\"]\n  20 -> 41 [size =\"52067328\"]\n  20 -> 44 [size =\"52067328\"]\n  21 [size=\"54807040\", alpha=\"0.11\", expect_size=\"21922816\"] \n  21 -> 38 [size =\"21922816\"]\n  21 -> 41 [size =\"21922816\"]\n  22 [size=\"39170560\", alpha=\"0.03\", expect_size=\"15668224\"] \n  22 -> 29 [size =\"15668224\"]\n  22 -> 30 [size =\"15668224\"]\n  22 -> 41 [size =\"15668224\"]\n  23 [size=\"25978880\", alpha=\"0.15\", expect_size=\"10391552\"] \n  24 [size=\"49966080\", alpha=\"0.09\", expect_size=\"19986432\"] \n  24 -> 29 [size =\"19986432\"]\n  24 -> 35 [size =\"19986432\"]\n  24 -> 36 [size =\"19986432\"]\n  24 -> 37 [size =\"19986432\"]\n  24 -> 38 [size =\"19986432\"]\n  24 -> 42 [size =\"19986432\"]\n  24 -> 44 [size =\"19986432\"]\n  25 [size=\"28710400\", alpha=\"0.11\", expect_size=\"11484160\"] \n  25 -> 29 [size =\"11484160\"]\n  25 -> 35 [size =\"11484160\"]\n  25 -> 37 [size =\"11484160\"]\n  25 -> 41 [size =\"11484160\"]\n  25 -> 44 [size =\"11484160\"]\n  26 [size=\"80778240\", alpha=\"0.02\", expect_size=\"32311296\"] \n  26 -> 29 [size =\"32311296\"]\n  26 -> 30 [size =\"32311296\"]\n  26 -> 34 [size =\"32311296\"]\n  26 -> 35 [size =\"32311296\"]\n  26 -> 36 [size =\"32311296\"]\n  26 -> 41 [size =\"32311296\"]\n  26 -> 44 [size =\"32311296\"]\n  27 [size=\"117022720\", alpha=\"0.09\", expect_size=\"46809088\"] \n  27 -> 33 [size =\"46809088\"]\n  27 -> 35 [size =\"46809088\"]\n  27 -> 38 [size =\"46809088\"]\n  27 -> 43 [size =\"46809088\"]\n  28 [size=\"36666880\", alpha=\"0.02\", expect_size=\"14666752\"] \n  28 -> 29 [size =\"14666752\"]\n  28 -> 31 [size =\"14666752\"]\n  28 -> 35 [size =\"14666752\"]\n  28 -> 43 [size =\"14666752\"]\n  29 [size=\"99845120\", alpha=\"0.11\", expect_size=\"39938048\"] \n  30 [size=\"17231360\", alpha=\"0.03\", expect_size=\"6892544\"] \n  31 [size=\"86192640\", alpha=\"0.00\", expect_size=\"34477056\"] \n  32 [size=\"30663680\", alpha=\"0.18\", expect_size=\"12265472\"] \n  33 [size=\"49546240\", alpha=\"0.11\", expect_size=\"19818496\"] \n  34 [size=\"19632640\", alpha=\"0.00\", expect_size=\"7853056\"] \n  35 [size=\"72988160\", alpha=\"0.06\", expect_size=\"29195264\"] \n  36 [size=\"19678720\", alpha=\"0.11\", expect_size=\"7871488\"] \n  37 [size=\"29660160\", alpha=\"0.07\", expect_size=\"11864064\"] \n  38 [size=\"82693120\", alpha=\"0.19\", expect_size=\"33077248\"] \n  39 [size=\"92546560\", alpha=\"0.11\", expect_size=\"37018624\"] \n  40 [size=\"41441280\", alpha=\"0.03\", expect_size=\"16576512\"] \n  41 [size=\"61117440\", alpha=\"0.03\", expect_size=\"24446976\"] \n  42 [size=\"63336960\", alpha=\"0.06\", expect_size=\"25334784\"] \n  43 [size=\"52044800\", alpha=\"0.12\", expect_size=\"20817920\"] \n  44 [size=\"119646720\", alpha=\"0.04\", expect_size=\"47858688\"] \n  45 [size=\"120422400\", alpha=\"0.18\", expect_size=\"48168960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47677440\", alpha=\"0.02\", expect_size=\"23838720\"] \n  1 -> 15 [size =\"23838720\"]\n  2 [size=\"26630144\", alpha=\"0.14\", expect_size=\"13315072\"] \n  2 -> 18 [size =\"13315072\"]\n  2 -> 19 [size =\"13315072\"]\n  2 -> 24 [size =\"13315072\"]\n  3 [size=\"26408960\", alpha=\"0.17\", expect_size=\"13204480\"] \n  3 -> 14 [size =\"13204480\"]\n  3 -> 18 [size =\"13204480\"]\n  3 -> 19 [size =\"13204480\"]\n  3 -> 20 [size =\"13204480\"]\n  3 -> 21 [size =\"13204480\"]\n  3 -> 22 [size =\"13204480\"]\n  4 [size=\"86190080\", alpha=\"0.14\", expect_size=\"43095040\"] \n  4 -> 16 [size =\"43095040\"]\n  4 -> 17 [size =\"43095040\"]\n  4 -> 19 [size =\"43095040\"]\n  4 -> 23 [size =\"43095040\"]\n  4 -> 24 [size =\"43095040\"]\n  5 [size=\"38834176\", alpha=\"0.13\", expect_size=\"19417088\"] \n  5 -> 16 [size =\"19417088\"]\n  5 -> 17 [size =\"19417088\"]\n  5 -> 21 [size =\"19417088\"]\n  5 -> 22 [size =\"19417088\"]\n  5 -> 23 [size =\"19417088\"]\n  5 -> 24 [size =\"19417088\"]\n  6 [size=\"33269760\", alpha=\"0.12\", expect_size=\"16634880\"] \n  6 -> 16 [size =\"16634880\"]\n  6 -> 17 [size =\"16634880\"]\n  6 -> 21 [size =\"16634880\"]\n  6 -> 24 [size =\"16634880\"]\n  7 [size=\"12562432\", alpha=\"0.01\", expect_size=\"6281216\"] \n  7 -> 15 [size =\"6281216\"]\n  7 -> 18 [size =\"6281216\"]\n  7 -> 22 [size =\"6281216\"]\n  8 [size=\"69677056\", alpha=\"0.10\", expect_size=\"34838528\"] \n  8 -> 15 [size =\"34838528\"]\n  8 -> 19 [size =\"34838528\"]\n  8 -> 22 [size =\"34838528\"]\n  8 -> 23 [size =\"34838528\"]\n  8 -> 24 [size =\"34838528\"]\n  9 [size=\"50608128\", alpha=\"0.20\", expect_size=\"25304064\"] \n  9 -> 15 [size =\"25304064\"]\n  9 -> 17 [size =\"25304064\"]\n  9 -> 18 [size =\"25304064\"]\n  9 -> 19 [size =\"25304064\"]\n  10 [size=\"82264064\", alpha=\"0.02\", expect_size=\"41132032\"] \n  10 -> 17 [size =\"41132032\"]\n  10 -> 19 [size =\"41132032\"]\n  10 -> 22 [size =\"41132032\"]\n  11 [size=\"54478848\", alpha=\"0.01\", expect_size=\"27239424\"] \n  11 -> 17 [size =\"27239424\"]\n  11 -> 19 [size =\"27239424\"]\n  11 -> 23 [size =\"27239424\"]\n  11 -> 24 [size =\"27239424\"]\n  12 [size=\"64253952\", alpha=\"0.08\", expect_size=\"32126976\"] \n  12 -> 17 [size =\"32126976\"]\n  12 -> 18 [size =\"32126976\"]\n  13 [size=\"37171200\", alpha=\"0.14\", expect_size=\"18585600\"] \n  13 -> 18 [size =\"18585600\"]\n  14 [size=\"21198848\", alpha=\"0.11\", expect_size=\"10599424\"] \n  14 -> 27 [size =\"10599424\"]\n  14 -> 29 [size =\"10599424\"]\n  15 [size=\"88293376\", alpha=\"0.01\", expect_size=\"44146688\"] \n  15 -> 29 [size =\"44146688\"]\n  15 -> 29 [size =\"44146688\"]\n  16 [size=\"54157312\", alpha=\"0.03\", expect_size=\"27078656\"] \n  16 -> 26 [size =\"27078656\"]\n  16 -> 28 [size =\"27078656\"]\n  16 -> 29 [size =\"27078656\"]\n  17 [size=\"16007168\", alpha=\"0.14\", expect_size=\"8003584\"] \n  17 -> 27 [size =\"8003584\"]\n  17 -> 28 [size =\"8003584\"]\n  17 -> 29 [size =\"8003584\"]\n  17 -> 30 [size =\"8003584\"]\n  18 [size=\"22792192\", alpha=\"0.19\", expect_size=\"11396096\"] \n  18 -> 29 [size =\"11396096\"]\n  19 [size=\"71481344\", alpha=\"0.07\", expect_size=\"35740672\"] \n  19 -> 31 [size =\"35740672\"]\n  20 [size=\"71200768\", alpha=\"0.15\", expect_size=\"35600384\"] \n  20 -> 27 [size =\"35600384\"]\n  20 -> 28 [size =\"35600384\"]\n  20 -> 31 [size =\"35600384\"]\n  21 [size=\"82333696\", alpha=\"0.11\", expect_size=\"41166848\"] \n  22 [size=\"89139200\", alpha=\"0.10\", expect_size=\"44569600\"] \n  22 -> 25 [size =\"44569600\"]\n  22 -> 31 [size =\"44569600\"]\n  23 [size=\"32120832\", alpha=\"0.13\", expect_size=\"16060416\"] \n  23 -> 25 [size =\"16060416\"]\n  24 [size=\"96727040\", alpha=\"0.12\", expect_size=\"48363520\"] \n  24 -> 25 [size =\"48363520\"]\n  25 [size=\"55402496\", alpha=\"0.16\", expect_size=\"27701248\"] \n  25 -> 36 [size =\"27701248\"]\n  25 -> 39 [size =\"27701248\"]\n  26 [size=\"60733440\", alpha=\"0.06\", expect_size=\"30366720\"] \n  26 -> 32 [size =\"30366720\"]\n  26 -> 33 [size =\"30366720\"]\n  26 -> 35 [size =\"30366720\"]\n  27 [size=\"73420800\", alpha=\"0.16\", expect_size=\"36710400\"] \n  27 -> 32 [size =\"36710400\"]\n  27 -> 37 [size =\"36710400\"]\n  27 -> 38 [size =\"36710400\"]\n  27 -> 39 [size =\"36710400\"]\n  28 [size=\"47108096\", alpha=\"0.19\", expect_size=\"23554048\"] \n  28 -> 32 [size =\"23554048\"]\n  28 -> 33 [size =\"23554048\"]\n  28 -> 36 [size =\"23554048\"]\n  28 -> 37 [size =\"23554048\"]\n  28 -> 38 [size =\"23554048\"]\n  29 [size=\"40329216\", alpha=\"0.10\", expect_size=\"20164608\"] \n  30 [size=\"71311360\", alpha=\"0.16\", expect_size=\"35655680\"] \n  30 -> 34 [size =\"35655680\"]\n  30 -> 38 [size =\"35655680\"]\n  31 [size=\"46129152\", alpha=\"0.12\", expect_size=\"23064576\"] \n  31 -> 32 [size =\"23064576\"]\n  31 -> 33 [size =\"23064576\"]\n  31 -> 34 [size =\"23064576\"]\n  31 -> 38 [size =\"23064576\"]\n  32 [size=\"96348160\", alpha=\"0.19\", expect_size=\"48174080\"] \n  32 -> 42 [size =\"48174080\"]\n  32 -> 43 [size =\"48174080\"]\n  32 -> 44 [size =\"48174080\"]\n  33 [size=\"49367040\", alpha=\"0.12\", expect_size=\"24683520\"] \n  34 [size=\"15484928\", alpha=\"0.07\", expect_size=\"7742464\"] \n  34 -> 42 [size =\"7742464\"]\n  34 -> 43 [size =\"7742464\"]\n  35 [size=\"70404096\", alpha=\"0.18\", expect_size=\"35202048\"] \n  35 -> 41 [size =\"35202048\"]\n  35 -> 45 [size =\"35202048\"]\n  36 [size=\"53731328\", alpha=\"0.19\", expect_size=\"26865664\"] \n  36 -> 40 [size =\"26865664\"]\n  36 -> 42 [size =\"26865664\"]\n  37 [size=\"82624512\", alpha=\"0.01\", expect_size=\"41312256\"] \n  37 -> 40 [size =\"41312256\"]\n  37 -> 43 [size =\"41312256\"]\n  37 -> 45 [size =\"41312256\"]\n  38 [size=\"64790528\", alpha=\"0.06\", expect_size=\"32395264\"] \n  38 -> 40 [size =\"32395264\"]\n  38 -> 41 [size =\"32395264\"]\n  38 -> 42 [size =\"32395264\"]\n  38 -> 43 [size =\"32395264\"]\n  38 -> 44 [size =\"32395264\"]\n  38 -> 45 [size =\"32395264\"]\n  39 [size=\"59418624\", alpha=\"0.03\", expect_size=\"29709312\"] \n  39 -> 40 [size =\"29709312\"]\n  39 -> 45 [size =\"29709312\"]\n  40 [size=\"12261376\", alpha=\"0.13\", expect_size=\"6130688\"] \n  41 [size=\"89473024\", alpha=\"0.19\", expect_size=\"44736512\"] \n  42 [size=\"51931136\", alpha=\"0.01\", expect_size=\"25965568\"] \n  43 [size=\"47777792\", alpha=\"0.08\", expect_size=\"23888896\"] \n  44 [size=\"103698432\", alpha=\"0.13\", expect_size=\"51849216\"] \n  45 [size=\"41664512\", alpha=\"0.08\", expect_size=\"20832256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33633280\", alpha=\"0.15\", expect_size=\"13453312\"] \n  1 -> 2 [size =\"13453312\"]\n  2 [size=\"14182400\", alpha=\"0.04\", expect_size=\"5672960\"] \n  2 -> 3 [size =\"5672960\"]\n  3 [size=\"60584960\", alpha=\"0.05\", expect_size=\"24233984\"] \n  3 -> 4 [size =\"24233984\"]\n  4 [size=\"33756160\", alpha=\"0.15\", expect_size=\"13502464\"] \n  4 -> 5 [size =\"13502464\"]\n  5 [size=\"99394560\", alpha=\"0.20\", expect_size=\"39757824\"] \n  5 -> 6 [size =\"39757824\"]\n  6 [size=\"47971840\", alpha=\"0.18\", expect_size=\"19188736\"] \n  6 -> 7 [size =\"19188736\"]\n  7 [size=\"74810880\", alpha=\"0.11\", expect_size=\"29924352\"] \n  7 -> 8 [size =\"29924352\"]\n  8 [size=\"110597120\", alpha=\"0.18\", expect_size=\"44238848\"] \n  8 -> 9 [size =\"44238848\"]\n  9 [size=\"110551040\", alpha=\"0.05\", expect_size=\"44220416\"] \n  9 -> 10 [size =\"44220416\"]\n  10 [size=\"79260160\", alpha=\"0.14\", expect_size=\"31704064\"] \n  10 -> 11 [size =\"31704064\"]\n  11 [size=\"40670720\", alpha=\"0.09\", expect_size=\"16268288\"] \n  11 -> 12 [size =\"16268288\"]\n  12 [size=\"129344000\", alpha=\"0.02\", expect_size=\"51737600\"] \n  12 -> 13 [size =\"51737600\"]\n  13 [size=\"37258240\", alpha=\"0.19\", expect_size=\"14903296\"] \n  13 -> 14 [size =\"14903296\"]\n  14 [size=\"64122880\", alpha=\"0.07\", expect_size=\"25649152\"] \n  14 -> 15 [size =\"25649152\"]\n  15 [size=\"36610560\", alpha=\"0.17\", expect_size=\"14644224\"] \n  15 -> 16 [size =\"14644224\"]\n  16 [size=\"34040320\", alpha=\"0.10\", expect_size=\"13616128\"] \n  16 -> 17 [size =\"13616128\"]\n  17 [size=\"21040640\", alpha=\"0.18\", expect_size=\"8416256\"] \n  17 -> 18 [size =\"8416256\"]\n  18 [size=\"87728640\", alpha=\"0.19\", expect_size=\"35091456\"] \n  18 -> 19 [size =\"35091456\"]\n  19 [size=\"78346240\", alpha=\"0.07\", expect_size=\"31338496\"] \n  19 -> 20 [size =\"31338496\"]\n  20 [size=\"110535680\", alpha=\"0.02\", expect_size=\"44214272\"] \n  20 -> 21 [size =\"44214272\"]\n  21 [size=\"77711360\", alpha=\"0.01\", expect_size=\"31084544\"] \n  21 -> 22 [size =\"31084544\"]\n  22 [size=\"15621120\", alpha=\"0.01\", expect_size=\"6248448\"] \n  22 -> 23 [size =\"6248448\"]\n  23 [size=\"29061120\", alpha=\"0.08\", expect_size=\"11624448\"] \n  23 -> 24 [size =\"11624448\"]\n  24 [size=\"23150080\", alpha=\"0.19\", expect_size=\"9260032\"] \n  24 -> 25 [size =\"9260032\"]\n  25 [size=\"63598080\", alpha=\"0.04\", expect_size=\"25439232\"] \n  25 -> 26 [size =\"25439232\"]\n  26 [size=\"45573120\", alpha=\"0.16\", expect_size=\"18229248\"] \n  26 -> 27 [size =\"18229248\"]\n  27 [size=\"104504320\", alpha=\"0.18\", expect_size=\"41801728\"] \n  27 -> 28 [size =\"41801728\"]\n  28 [size=\"94231040\", alpha=\"0.16\", expect_size=\"37692416\"] \n  28 -> 29 [size =\"37692416\"]\n  29 [size=\"85550080\", alpha=\"0.11\", expect_size=\"34220032\"] \n  29 -> 30 [size =\"34220032\"]\n  30 [size=\"124008960\", alpha=\"0.17\", expect_size=\"49603584\"] \n  30 -> 31 [size =\"49603584\"]\n  31 [size=\"18890240\", alpha=\"0.08\", expect_size=\"7556096\"] \n  31 -> 32 [size =\"7556096\"]\n  32 [size=\"26654720\", alpha=\"0.18\", expect_size=\"10661888\"] \n  32 -> 33 [size =\"10661888\"]\n  33 [size=\"30412800\", alpha=\"0.13\", expect_size=\"12165120\"] \n  33 -> 34 [size =\"12165120\"]\n  34 [size=\"77644800\", alpha=\"0.16\", expect_size=\"31057920\"] \n  34 -> 35 [size =\"31057920\"]\n  35 [size=\"71032320\", alpha=\"0.04\", expect_size=\"28412928\"] \n  35 -> 36 [size =\"28412928\"]\n  36 [size=\"96867840\", alpha=\"0.14\", expect_size=\"38747136\"] \n  36 -> 37 [size =\"38747136\"]\n  37 [size=\"72048640\", alpha=\"0.07\", expect_size=\"28819456\"] \n  37 -> 38 [size =\"28819456\"]\n  38 [size=\"58278400\", alpha=\"0.11\", expect_size=\"23311360\"] \n  38 -> 39 [size =\"23311360\"]\n  39 [size=\"35087360\", alpha=\"0.07\", expect_size=\"14034944\"] \n  39 -> 40 [size =\"14034944\"]\n  40 [size=\"99916800\", alpha=\"0.20\", expect_size=\"39966720\"] \n  40 -> 41 [size =\"39966720\"]\n  41 [size=\"82992640\", alpha=\"0.03\", expect_size=\"33197056\"] \n  41 -> 42 [size =\"33197056\"]\n  42 [size=\"129843200\", alpha=\"0.07\", expect_size=\"51937280\"] \n  42 -> 43 [size =\"51937280\"]\n  43 [size=\"120778240\", alpha=\"0.13\", expect_size=\"48311296\"] \n  43 -> 44 [size =\"48311296\"]\n  44 [size=\"79953920\", alpha=\"0.01\", expect_size=\"31981568\"] \n  44 -> 45 [size =\"31981568\"]\n  45 [size=\"58380800\", alpha=\"0.18\", expect_size=\"23352320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103948800\", alpha=\"0.11\", expect_size=\"41579520\"] \n  2 [size=\"48286720\", alpha=\"0.10\", expect_size=\"19314688\"] \n  2 -> 4 [size =\"19314688\"]\n  2 -> 5 [size =\"19314688\"]\n  3 [size=\"73152000\", alpha=\"0.09\", expect_size=\"29260800\"] \n  3 -> 4 [size =\"29260800\"]\n  3 -> 5 [size =\"29260800\"]\n  4 [size=\"71311360\", alpha=\"0.14\", expect_size=\"28524544\"] \n  4 -> 7 [size =\"28524544\"]\n  5 [size=\"115637760\", alpha=\"0.03\", expect_size=\"46255104\"] \n  5 -> 6 [size =\"46255104\"]\n  5 -> 7 [size =\"46255104\"]\n  6 [size=\"23124480\", alpha=\"0.02\", expect_size=\"9249792\"] \n  6 -> 10 [size =\"9249792\"]\n  7 [size=\"55902720\", alpha=\"0.08\", expect_size=\"22361088\"] \n  7 -> 8 [size =\"22361088\"]\n  7 -> 9 [size =\"22361088\"]\n  7 -> 10 [size =\"22361088\"]\n  8 [size=\"43348480\", alpha=\"0.03\", expect_size=\"17339392\"] \n  8 -> 12 [size =\"17339392\"]\n  9 [size=\"80732160\", alpha=\"0.04\", expect_size=\"32292864\"] \n  10 [size=\"53519360\", alpha=\"0.03\", expect_size=\"21407744\"] \n  10 -> 11 [size =\"21407744\"]\n  10 -> 12 [size =\"21407744\"]\n  10 -> 13 [size =\"21407744\"]\n  11 [size=\"95782400\", alpha=\"0.08\", expect_size=\"38312960\"] \n  12 [size=\"40558080\", alpha=\"0.07\", expect_size=\"16223232\"] \n  12 -> 14 [size =\"16223232\"]\n  12 -> 15 [size =\"16223232\"]\n  13 [size=\"100444160\", alpha=\"0.06\", expect_size=\"40177664\"] \n  13 -> 15 [size =\"40177664\"]\n  14 [size=\"37657600\", alpha=\"0.14\", expect_size=\"15063040\"] \n  14 -> 16 [size =\"15063040\"]\n  14 -> 17 [size =\"15063040\"]\n  15 [size=\"118154240\", alpha=\"0.00\", expect_size=\"47261696\"] \n  15 -> 16 [size =\"47261696\"]\n  15 -> 17 [size =\"47261696\"]\n  16 [size=\"20313600\", alpha=\"0.05\", expect_size=\"8125440\"] \n  17 [size=\"33640960\", alpha=\"0.17\", expect_size=\"13456384\"] \n  17 -> 18 [size =\"13456384\"]\n  17 -> 19 [size =\"13456384\"]\n  18 [size=\"80535040\", alpha=\"0.12\", expect_size=\"32214016\"] \n  18 -> 22 [size =\"32214016\"]\n  19 [size=\"98181120\", alpha=\"0.06\", expect_size=\"39272448\"] \n  19 -> 20 [size =\"39272448\"]\n  19 -> 21 [size =\"39272448\"]\n  19 -> 22 [size =\"39272448\"]\n  20 [size=\"120473600\", alpha=\"0.13\", expect_size=\"48189440\"] \n  20 -> 23 [size =\"48189440\"]\n  20 -> 24 [size =\"48189440\"]\n  21 [size=\"17656320\", alpha=\"0.17\", expect_size=\"7062528\"] \n  21 -> 23 [size =\"7062528\"]\n  21 -> 24 [size =\"7062528\"]\n  22 [size=\"66808320\", alpha=\"0.06\", expect_size=\"26723328\"] \n  23 [size=\"105387520\", alpha=\"0.05\", expect_size=\"42155008\"] \n  23 -> 27 [size =\"42155008\"]\n  24 [size=\"25221120\", alpha=\"0.14\", expect_size=\"10088448\"] \n  24 -> 25 [size =\"10088448\"]\n  24 -> 26 [size =\"10088448\"]\n  24 -> 27 [size =\"10088448\"]\n  25 [size=\"109176320\", alpha=\"0.01\", expect_size=\"43670528\"] \n  25 -> 28 [size =\"43670528\"]\n  26 [size=\"111380480\", alpha=\"0.09\", expect_size=\"44552192\"] \n  26 -> 28 [size =\"44552192\"]\n  26 -> 29 [size =\"44552192\"]\n  27 [size=\"20352000\", alpha=\"0.04\", expect_size=\"8140800\"] \n  27 -> 28 [size =\"8140800\"]\n  28 [size=\"119165440\", alpha=\"0.05\", expect_size=\"47666176\"] \n  28 -> 30 [size =\"47666176\"]\n  28 -> 32 [size =\"47666176\"]\n  29 [size=\"73292800\", alpha=\"0.17\", expect_size=\"29317120\"] \n  29 -> 31 [size =\"29317120\"]\n  29 -> 32 [size =\"29317120\"]\n  30 [size=\"106393600\", alpha=\"0.16\", expect_size=\"42557440\"] \n  30 -> 33 [size =\"42557440\"]\n  30 -> 34 [size =\"42557440\"]\n  31 [size=\"67284480\", alpha=\"0.09\", expect_size=\"26913792\"] \n  31 -> 34 [size =\"26913792\"]\n  32 [size=\"46807040\", alpha=\"0.07\", expect_size=\"18722816\"] \n  32 -> 33 [size =\"18722816\"]\n  33 [size=\"80145920\", alpha=\"0.19\", expect_size=\"32058368\"] \n  33 -> 35 [size =\"32058368\"]\n  33 -> 36 [size =\"32058368\"]\n  34 [size=\"109378560\", alpha=\"0.16\", expect_size=\"43751424\"] \n  34 -> 35 [size =\"43751424\"]\n  34 -> 37 [size =\"43751424\"]\n  35 [size=\"74746880\", alpha=\"0.10\", expect_size=\"29898752\"] \n  35 -> 38 [size =\"29898752\"]\n  35 -> 40 [size =\"29898752\"]\n  36 [size=\"78784000\", alpha=\"0.06\", expect_size=\"31513600\"] \n  36 -> 38 [size =\"31513600\"]\n  36 -> 39 [size =\"31513600\"]\n  36 -> 40 [size =\"31513600\"]\n  37 [size=\"13542400\", alpha=\"0.05\", expect_size=\"5416960\"] \n  37 -> 38 [size =\"5416960\"]\n  38 [size=\"39784960\", alpha=\"0.15\", expect_size=\"15913984\"] \n  38 -> 41 [size =\"15913984\"]\n  38 -> 42 [size =\"15913984\"]\n  38 -> 43 [size =\"15913984\"]\n  39 [size=\"69785600\", alpha=\"0.00\", expect_size=\"27914240\"] \n  39 -> 43 [size =\"27914240\"]\n  40 [size=\"53212160\", alpha=\"0.04\", expect_size=\"21284864\"] \n  40 -> 41 [size =\"21284864\"]\n  40 -> 43 [size =\"21284864\"]\n  41 [size=\"30471680\", alpha=\"0.08\", expect_size=\"12188672\"] \n  41 -> 45 [size =\"12188672\"]\n  42 [size=\"84241920\", alpha=\"0.01\", expect_size=\"33696768\"] \n  42 -> 44 [size =\"33696768\"]\n  43 [size=\"124008960\", alpha=\"0.09\", expect_size=\"49603584\"] \n  43 -> 45 [size =\"49603584\"]\n  44 [size=\"119150080\", alpha=\"0.00\", expect_size=\"47660032\"] \n  45 [size=\"94218240\", alpha=\"0.07\", expect_size=\"37687296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83722240\", alpha=\"0.16\", expect_size=\"25116672\"] \n  1 -> 7 [size =\"25116672\"]\n  1 -> 8 [size =\"25116672\"]\n  1 -> 9 [size =\"25116672\"]\n  2 [size=\"33727147\", alpha=\"0.05\", expect_size=\"10118144\"] \n  2 -> 6 [size =\"10118144\"]\n  2 -> 7 [size =\"10118144\"]\n  2 -> 9 [size =\"10118144\"]\n  3 [size=\"33378987\", alpha=\"0.13\", expect_size=\"10013696\"] \n  3 -> 6 [size =\"10013696\"]\n  3 -> 8 [size =\"10013696\"]\n  3 -> 9 [size =\"10013696\"]\n  4 [size=\"151825067\", alpha=\"0.05\", expect_size=\"45547520\"] \n  4 -> 8 [size =\"45547520\"]\n  5 [size=\"130109440\", alpha=\"0.03\", expect_size=\"39032832\"] \n  5 -> 8 [size =\"39032832\"]\n  5 -> 9 [size =\"39032832\"]\n  6 [size=\"49537707\", alpha=\"0.12\", expect_size=\"14861312\"] \n  6 -> 10 [size =\"14861312\"]\n  6 -> 12 [size =\"14861312\"]\n  6 -> 13 [size =\"14861312\"]\n  6 -> 14 [size =\"14861312\"]\n  6 -> 15 [size =\"14861312\"]\n  7 [size=\"31156907\", alpha=\"0.13\", expect_size=\"9347072\"] \n  7 -> 10 [size =\"9347072\"]\n  7 -> 13 [size =\"9347072\"]\n  8 [size=\"131604480\", alpha=\"0.17\", expect_size=\"39481344\"] \n  8 -> 11 [size =\"39481344\"]\n  8 -> 13 [size =\"39481344\"]\n  8 -> 15 [size =\"39481344\"]\n  9 [size=\"72659627\", alpha=\"0.02\", expect_size=\"21797888\"] \n  9 -> 11 [size =\"21797888\"]\n  9 -> 12 [size =\"21797888\"]\n  9 -> 14 [size =\"21797888\"]\n  9 -> 15 [size =\"21797888\"]\n  10 [size=\"63590400\", alpha=\"0.06\", expect_size=\"19077120\"] \n  10 -> 18 [size =\"19077120\"]\n  10 -> 22 [size =\"19077120\"]\n  11 [size=\"34123093\", alpha=\"0.02\", expect_size=\"10236928\"] \n  11 -> 16 [size =\"10236928\"]\n  11 -> 17 [size =\"10236928\"]\n  11 -> 20 [size =\"10236928\"]\n  11 -> 21 [size =\"10236928\"]\n  11 -> 22 [size =\"10236928\"]\n  11 -> 23 [size =\"10236928\"]\n  12 [size=\"160897707\", alpha=\"0.16\", expect_size=\"48269312\"] \n  12 -> 17 [size =\"48269312\"]\n  13 [size=\"42697387\", alpha=\"0.15\", expect_size=\"12809216\"] \n  13 -> 17 [size =\"12809216\"]\n  13 -> 19 [size =\"12809216\"]\n  13 -> 20 [size =\"12809216\"]\n  13 -> 21 [size =\"12809216\"]\n  13 -> 23 [size =\"12809216\"]\n  14 [size=\"145991680\", alpha=\"0.11\", expect_size=\"43797504\"] \n  14 -> 19 [size =\"43797504\"]\n  14 -> 20 [size =\"43797504\"]\n  14 -> 23 [size =\"43797504\"]\n  15 [size=\"28996267\", alpha=\"0.12\", expect_size=\"8698880\"] \n  15 -> 16 [size =\"8698880\"]\n  15 -> 18 [size =\"8698880\"]\n  15 -> 19 [size =\"8698880\"]\n  15 -> 20 [size =\"8698880\"]\n  15 -> 22 [size =\"8698880\"]\n  16 [size=\"49476267\", alpha=\"0.01\", expect_size=\"14842880\"] \n  16 -> 24 [size =\"14842880\"]\n  16 -> 26 [size =\"14842880\"]\n  17 [size=\"145203200\", alpha=\"0.14\", expect_size=\"43560960\"] \n  17 -> 25 [size =\"43560960\"]\n  17 -> 26 [size =\"43560960\"]\n  17 -> 27 [size =\"43560960\"]\n  18 [size=\"88320000\", alpha=\"0.18\", expect_size=\"26496000\"] \n  18 -> 27 [size =\"26496000\"]\n  19 [size=\"67768320\", alpha=\"0.19\", expect_size=\"20330496\"] \n  19 -> 24 [size =\"20330496\"]\n  19 -> 27 [size =\"20330496\"]\n  20 [size=\"86336853\", alpha=\"0.09\", expect_size=\"25901056\"] \n  20 -> 24 [size =\"25901056\"]\n  20 -> 27 [size =\"25901056\"]\n  21 [size=\"132379307\", alpha=\"0.08\", expect_size=\"39713792\"] \n  21 -> 24 [size =\"39713792\"]\n  22 [size=\"144848213\", alpha=\"0.09\", expect_size=\"43454464\"] \n  22 -> 26 [size =\"43454464\"]\n  23 [size=\"110428160\", alpha=\"0.12\", expect_size=\"33128448\"] \n  23 -> 25 [size =\"33128448\"]\n  23 -> 26 [size =\"33128448\"]\n  24 [size=\"74857813\", alpha=\"0.13\", expect_size=\"22457344\"] \n  24 -> 28 [size =\"22457344\"]\n  24 -> 29 [size =\"22457344\"]\n  24 -> 31 [size =\"22457344\"]\n  24 -> 33 [size =\"22457344\"]\n  24 -> 35 [size =\"22457344\"]\n  25 [size=\"162563413\", alpha=\"0.07\", expect_size=\"48769024\"] \n  25 -> 28 [size =\"48769024\"]\n  25 -> 29 [size =\"48769024\"]\n  25 -> 30 [size =\"48769024\"]\n  25 -> 35 [size =\"48769024\"]\n  26 [size=\"97768107\", alpha=\"0.06\", expect_size=\"29330432\"] \n  26 -> 29 [size =\"29330432\"]\n  26 -> 30 [size =\"29330432\"]\n  26 -> 31 [size =\"29330432\"]\n  26 -> 32 [size =\"29330432\"]\n  26 -> 34 [size =\"29330432\"]\n  26 -> 35 [size =\"29330432\"]\n  27 [size=\"102929067\", alpha=\"0.06\", expect_size=\"30878720\"] \n  27 -> 32 [size =\"30878720\"]\n  28 [size=\"58453333\", alpha=\"0.01\", expect_size=\"17536000\"] \n  28 -> 39 [size =\"17536000\"]\n  28 -> 40 [size =\"17536000\"]\n  29 [size=\"41891840\", alpha=\"0.03\", expect_size=\"12567552\"] \n  29 -> 39 [size =\"12567552\"]\n  30 [size=\"32081920\", alpha=\"0.10\", expect_size=\"9624576\"] \n  30 -> 36 [size =\"9624576\"]\n  30 -> 37 [size =\"9624576\"]\n  30 -> 39 [size =\"9624576\"]\n  30 -> 40 [size =\"9624576\"]\n  31 [size=\"105379840\", alpha=\"0.00\", expect_size=\"31613952\"] \n  31 -> 37 [size =\"31613952\"]\n  31 -> 39 [size =\"31613952\"]\n  31 -> 40 [size =\"31613952\"]\n  32 [size=\"170748587\", alpha=\"0.08\", expect_size=\"51224576\"] \n  32 -> 39 [size =\"51224576\"]\n  33 [size=\"87149227\", alpha=\"0.19\", expect_size=\"26144768\"] \n  33 -> 39 [size =\"26144768\"]\n  34 [size=\"27781120\", alpha=\"0.07\", expect_size=\"8334336\"] \n  34 -> 36 [size =\"8334336\"]\n  34 -> 37 [size =\"8334336\"]\n  34 -> 40 [size =\"8334336\"]\n  35 [size=\"126989653\", alpha=\"0.16\", expect_size=\"38096896\"] \n  35 -> 38 [size =\"38096896\"]\n  36 [size=\"25552213\", alpha=\"0.09\", expect_size=\"7665664\"] \n  36 -> 44 [size =\"7665664\"]\n  37 [size=\"70106453\", alpha=\"0.19\", expect_size=\"21031936\"] \n  37 -> 41 [size =\"21031936\"]\n  38 [size=\"117043200\", alpha=\"0.17\", expect_size=\"35112960\"] \n  38 -> 41 [size =\"35112960\"]\n  38 -> 43 [size =\"35112960\"]\n  39 [size=\"123211093\", alpha=\"0.02\", expect_size=\"36963328\"] \n  39 -> 41 [size =\"36963328\"]\n  39 -> 42 [size =\"36963328\"]\n  40 [size=\"143790080\", alpha=\"0.15\", expect_size=\"43137024\"] \n  40 -> 41 [size =\"43137024\"]\n  40 -> 43 [size =\"43137024\"]\n  40 -> 44 [size =\"43137024\"]\n  41 [size=\"67611307\", alpha=\"0.03\", expect_size=\"20283392\"] \n  42 [size=\"68608000\", alpha=\"0.08\", expect_size=\"20582400\"] \n  42 -> 45 [size =\"20582400\"]\n  43 [size=\"132922027\", alpha=\"0.04\", expect_size=\"39876608\"] \n  43 -> 45 [size =\"39876608\"]\n  44 [size=\"128481280\", alpha=\"0.07\", expect_size=\"38544384\"] \n  44 -> 45 [size =\"38544384\"]\n  45 [size=\"26525013\", alpha=\"0.09\", expect_size=\"7957504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101751467\", alpha=\"0.11\", expect_size=\"30525440\"] \n  1 -> 32 [size =\"30525440\"]\n  1 -> 33 [size =\"30525440\"]\n  1 -> 35 [size =\"30525440\"]\n  1 -> 37 [size =\"30525440\"]\n  1 -> 38 [size =\"30525440\"]\n  1 -> 40 [size =\"30525440\"]\n  2 [size=\"113097387\", alpha=\"0.11\", expect_size=\"33929216\"] \n  2 -> 32 [size =\"33929216\"]\n  2 -> 38 [size =\"33929216\"]\n  2 -> 41 [size =\"33929216\"]\n  2 -> 44 [size =\"33929216\"]\n  3 [size=\"54101333\", alpha=\"0.06\", expect_size=\"16230400\"] \n  3 -> 32 [size =\"16230400\"]\n  3 -> 33 [size =\"16230400\"]\n  3 -> 36 [size =\"16230400\"]\n  3 -> 39 [size =\"16230400\"]\n  3 -> 42 [size =\"16230400\"]\n  3 -> 44 [size =\"16230400\"]\n  4 [size=\"64047787\", alpha=\"0.07\", expect_size=\"19214336\"] \n  4 -> 31 [size =\"19214336\"]\n  4 -> 32 [size =\"19214336\"]\n  4 -> 33 [size =\"19214336\"]\n  4 -> 38 [size =\"19214336\"]\n  4 -> 40 [size =\"19214336\"]\n  4 -> 42 [size =\"19214336\"]\n  5 [size=\"132061867\", alpha=\"0.11\", expect_size=\"39618560\"] \n  5 -> 32 [size =\"39618560\"]\n  5 -> 32 [size =\"39618560\"]\n  5 -> 33 [size =\"39618560\"]\n  5 -> 38 [size =\"39618560\"]\n  5 -> 39 [size =\"39618560\"]\n  5 -> 40 [size =\"39618560\"]\n  5 -> 43 [size =\"39618560\"]\n  6 [size=\"89135787\", alpha=\"0.05\", expect_size=\"26740736\"] \n  6 -> 32 [size =\"26740736\"]\n  6 -> 35 [size =\"26740736\"]\n  6 -> 38 [size =\"26740736\"]\n  6 -> 40 [size =\"26740736\"]\n  6 -> 41 [size =\"26740736\"]\n  7 [size=\"171663360\", alpha=\"0.13\", expect_size=\"51499008\"] \n  7 -> 32 [size =\"51499008\"]\n  7 -> 33 [size =\"51499008\"]\n  7 -> 37 [size =\"51499008\"]\n  7 -> 38 [size =\"51499008\"]\n  7 -> 41 [size =\"51499008\"]\n  7 -> 44 [size =\"51499008\"]\n  8 [size=\"57070933\", alpha=\"0.18\", expect_size=\"17121280\"] \n  8 -> 31 [size =\"17121280\"]\n  8 -> 36 [size =\"17121280\"]\n  8 -> 40 [size =\"17121280\"]\n  8 -> 42 [size =\"17121280\"]\n  9 [size=\"135017813\", alpha=\"0.19\", expect_size=\"40505344\"] \n  9 -> 33 [size =\"40505344\"]\n  9 -> 36 [size =\"40505344\"]\n  9 -> 38 [size =\"40505344\"]\n  9 -> 40 [size =\"40505344\"]\n  9 -> 43 [size =\"40505344\"]\n  10 [size=\"110380373\", alpha=\"0.11\", expect_size=\"33114112\"] \n  10 -> 33 [size =\"33114112\"]\n  10 -> 35 [size =\"33114112\"]\n  10 -> 39 [size =\"33114112\"]\n  10 -> 41 [size =\"33114112\"]\n  10 -> 42 [size =\"33114112\"]\n  10 -> 43 [size =\"33114112\"]\n  11 [size=\"105939627\", alpha=\"0.07\", expect_size=\"31781888\"] \n  11 -> 35 [size =\"31781888\"]\n  11 -> 36 [size =\"31781888\"]\n  12 [size=\"35553280\", alpha=\"0.09\", expect_size=\"10665984\"] \n  12 -> 35 [size =\"10665984\"]\n  12 -> 38 [size =\"10665984\"]\n  12 -> 40 [size =\"10665984\"]\n  12 -> 41 [size =\"10665984\"]\n  12 -> 42 [size =\"10665984\"]\n  13 [size=\"123907413\", alpha=\"0.02\", expect_size=\"37172224\"] \n  13 -> 32 [size =\"37172224\"]\n  13 -> 35 [size =\"37172224\"]\n  13 -> 38 [size =\"37172224\"]\n  13 -> 41 [size =\"37172224\"]\n  13 -> 44 [size =\"37172224\"]\n  13 -> 45 [size =\"37172224\"]\n  14 [size=\"173786453\", alpha=\"0.08\", expect_size=\"52135936\"] \n  14 -> 31 [size =\"52135936\"]\n  14 -> 35 [size =\"52135936\"]\n  14 -> 36 [size =\"52135936\"]\n  14 -> 45 [size =\"52135936\"]\n  15 [size=\"73079467\", alpha=\"0.08\", expect_size=\"21923840\"] \n  15 -> 32 [size =\"21923840\"]\n  15 -> 36 [size =\"21923840\"]\n  15 -> 41 [size =\"21923840\"]\n  15 -> 42 [size =\"21923840\"]\n  15 -> 43 [size =\"21923840\"]\n  16 [size=\"158085120\", alpha=\"0.17\", expect_size=\"47425536\"] \n  16 -> 39 [size =\"47425536\"]\n  16 -> 40 [size =\"47425536\"]\n  16 -> 42 [size =\"47425536\"]\n  16 -> 43 [size =\"47425536\"]\n  17 [size=\"43687253\", alpha=\"0.10\", expect_size=\"13106176\"] \n  17 -> 34 [size =\"13106176\"]\n  17 -> 36 [size =\"13106176\"]\n  17 -> 40 [size =\"13106176\"]\n  17 -> 42 [size =\"13106176\"]\n  18 [size=\"144810667\", alpha=\"0.08\", expect_size=\"43443200\"] \n  18 -> 35 [size =\"43443200\"]\n  18 -> 36 [size =\"43443200\"]\n  18 -> 39 [size =\"43443200\"]\n  18 -> 44 [size =\"43443200\"]\n  19 [size=\"127119360\", alpha=\"0.01\", expect_size=\"38135808\"] \n  19 -> 31 [size =\"38135808\"]\n  19 -> 34 [size =\"38135808\"]\n  19 -> 36 [size =\"38135808\"]\n  19 -> 39 [size =\"38135808\"]\n  20 [size=\"122050560\", alpha=\"0.13\", expect_size=\"36615168\"] \n  20 -> 32 [size =\"36615168\"]\n  20 -> 33 [size =\"36615168\"]\n  20 -> 34 [size =\"36615168\"]\n  20 -> 35 [size =\"36615168\"]\n  20 -> 36 [size =\"36615168\"]\n  20 -> 40 [size =\"36615168\"]\n  21 [size=\"49244160\", alpha=\"0.15\", expect_size=\"14773248\"] \n  21 -> 35 [size =\"14773248\"]\n  21 -> 38 [size =\"14773248\"]\n  22 [size=\"106540373\", alpha=\"0.10\", expect_size=\"31962112\"] \n  22 -> 35 [size =\"31962112\"]\n  22 -> 44 [size =\"31962112\"]\n  22 -> 45 [size =\"31962112\"]\n  23 [size=\"17619627\", alpha=\"0.09\", expect_size=\"5285888\"] \n  23 -> 31 [size =\"5285888\"]\n  23 -> 32 [size =\"5285888\"]\n  23 -> 33 [size =\"5285888\"]\n  23 -> 34 [size =\"5285888\"]\n  23 -> 35 [size =\"5285888\"]\n  23 -> 37 [size =\"5285888\"]\n  23 -> 38 [size =\"5285888\"]\n  23 -> 41 [size =\"5285888\"]\n  23 -> 44 [size =\"5285888\"]\n  24 [size=\"35269973\", alpha=\"0.14\", expect_size=\"10580992\"] \n  24 -> 33 [size =\"10580992\"]\n  24 -> 35 [size =\"10580992\"]\n  24 -> 36 [size =\"10580992\"]\n  24 -> 37 [size =\"10580992\"]\n  24 -> 40 [size =\"10580992\"]\n  24 -> 44 [size =\"10580992\"]\n  25 [size=\"101720747\", alpha=\"0.14\", expect_size=\"30516224\"] \n  25 -> 33 [size =\"30516224\"]\n  25 -> 34 [size =\"30516224\"]\n  25 -> 35 [size =\"30516224\"]\n  25 -> 36 [size =\"30516224\"]\n  25 -> 39 [size =\"30516224\"]\n  25 -> 40 [size =\"30516224\"]\n  25 -> 45 [size =\"30516224\"]\n  26 [size=\"165632000\", alpha=\"0.03\", expect_size=\"49689600\"] \n  26 -> 35 [size =\"49689600\"]\n  26 -> 38 [size =\"49689600\"]\n  26 -> 42 [size =\"49689600\"]\n  26 -> 45 [size =\"49689600\"]\n  27 [size=\"141274453\", alpha=\"0.12\", expect_size=\"42382336\"] \n  27 -> 33 [size =\"42382336\"]\n  27 -> 35 [size =\"42382336\"]\n  27 -> 36 [size =\"42382336\"]\n  27 -> 38 [size =\"42382336\"]\n  27 -> 44 [size =\"42382336\"]\n  28 [size=\"59531947\", alpha=\"0.05\", expect_size=\"17859584\"] \n  28 -> 33 [size =\"17859584\"]\n  28 -> 34 [size =\"17859584\"]\n  28 -> 35 [size =\"17859584\"]\n  28 -> 36 [size =\"17859584\"]\n  28 -> 37 [size =\"17859584\"]\n  28 -> 38 [size =\"17859584\"]\n  28 -> 40 [size =\"17859584\"]\n  28 -> 45 [size =\"17859584\"]\n  29 [size=\"119435947\", alpha=\"0.13\", expect_size=\"35830784\"] \n  29 -> 31 [size =\"35830784\"]\n  29 -> 32 [size =\"35830784\"]\n  29 -> 33 [size =\"35830784\"]\n  29 -> 35 [size =\"35830784\"]\n  29 -> 37 [size =\"35830784\"]\n  29 -> 38 [size =\"35830784\"]\n  29 -> 40 [size =\"35830784\"]\n  29 -> 41 [size =\"35830784\"]\n  29 -> 43 [size =\"35830784\"]\n  29 -> 45 [size =\"35830784\"]\n  30 [size=\"129546240\", alpha=\"0.14\", expect_size=\"38863872\"] \n  30 -> 32 [size =\"38863872\"]\n  30 -> 32 [size =\"38863872\"]\n  30 -> 33 [size =\"38863872\"]\n  30 -> 36 [size =\"38863872\"]\n  30 -> 39 [size =\"38863872\"]\n  30 -> 40 [size =\"38863872\"]\n  30 -> 41 [size =\"38863872\"]\n  30 -> 45 [size =\"38863872\"]\n  31 [size=\"74513067\", alpha=\"0.05\", expect_size=\"22353920\"] \n  32 [size=\"38615040\", alpha=\"0.19\", expect_size=\"11584512\"] \n  33 [size=\"117480107\", alpha=\"0.06\", expect_size=\"35244032\"] \n  34 [size=\"33153707\", alpha=\"0.14\", expect_size=\"9946112\"] \n  35 [size=\"146790400\", alpha=\"0.08\", expect_size=\"44037120\"] \n  36 [size=\"101113173\", alpha=\"0.00\", expect_size=\"30333952\"] \n  37 [size=\"125071360\", alpha=\"0.16\", expect_size=\"37521408\"] \n  38 [size=\"58279253\", alpha=\"0.07\", expect_size=\"17483776\"] \n  39 [size=\"97624747\", alpha=\"0.13\", expect_size=\"29287424\"] \n  40 [size=\"46076587\", alpha=\"0.12\", expect_size=\"13822976\"] \n  41 [size=\"153825280\", alpha=\"0.15\", expect_size=\"46147584\"] \n  42 [size=\"37485227\", alpha=\"0.09\", expect_size=\"11245568\"] \n  43 [size=\"29699413\", alpha=\"0.03\", expect_size=\"8909824\"] \n  44 [size=\"79622827\", alpha=\"0.20\", expect_size=\"23886848\"] \n  45 [size=\"28989440\", alpha=\"0.07\", expect_size=\"8696832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30054400\", alpha=\"0.08\", expect_size=\"12021760\"] \n  1 -> 43 [size =\"12021760\"]\n  2 [size=\"19276800\", alpha=\"0.03\", expect_size=\"7710720\"] \n  2 -> 42 [size =\"7710720\"]\n  2 -> 43 [size =\"7710720\"]\n  3 [size=\"112980480\", alpha=\"0.07\", expect_size=\"45192192\"] \n  3 -> 43 [size =\"45192192\"]\n  3 -> 44 [size =\"45192192\"]\n  4 [size=\"86568960\", alpha=\"0.09\", expect_size=\"34627584\"] \n  5 [size=\"38412800\", alpha=\"0.18\", expect_size=\"15365120\"] \n  5 -> 44 [size =\"15365120\"]\n  6 [size=\"129512960\", alpha=\"0.02\", expect_size=\"51805184\"] \n  6 -> 43 [size =\"51805184\"]\n  6 -> 44 [size =\"51805184\"]\n  7 [size=\"87121920\", alpha=\"0.11\", expect_size=\"34848768\"] \n  7 -> 39 [size =\"34848768\"]\n  7 -> 42 [size =\"34848768\"]\n  7 -> 44 [size =\"34848768\"]\n  8 [size=\"71616000\", alpha=\"0.17\", expect_size=\"28646400\"] \n  8 -> 39 [size =\"28646400\"]\n  8 -> 42 [size =\"28646400\"]\n  8 -> 43 [size =\"28646400\"]\n  8 -> 44 [size =\"28646400\"]\n  9 [size=\"32965120\", alpha=\"0.13\", expect_size=\"13186048\"] \n  9 -> 39 [size =\"13186048\"]\n  9 -> 42 [size =\"13186048\"]\n  9 -> 43 [size =\"13186048\"]\n  9 -> 44 [size =\"13186048\"]\n  10 [size=\"97943040\", alpha=\"0.09\", expect_size=\"39177216\"] \n  10 -> 39 [size =\"39177216\"]\n  10 -> 43 [size =\"39177216\"]\n  10 -> 44 [size =\"39177216\"]\n  10 -> 44 [size =\"39177216\"]\n  11 [size=\"15024640\", alpha=\"0.08\", expect_size=\"6009856\"] \n  11 -> 39 [size =\"6009856\"]\n  11 -> 44 [size =\"6009856\"]\n  11 -> 44 [size =\"6009856\"]\n  12 [size=\"64527360\", alpha=\"0.04\", expect_size=\"25810944\"] \n  12 -> 44 [size =\"25810944\"]\n  12 -> 44 [size =\"25810944\"]\n  13 [size=\"82316800\", alpha=\"0.11\", expect_size=\"32926720\"] \n  13 -> 39 [size =\"32926720\"]\n  13 -> 42 [size =\"32926720\"]\n  13 -> 44 [size =\"32926720\"]\n  13 -> 45 [size =\"32926720\"]\n  14 [size=\"121845760\", alpha=\"0.14\", expect_size=\"48738304\"] \n  14 -> 39 [size =\"48738304\"]\n  15 [size=\"58434560\", alpha=\"0.12\", expect_size=\"23373824\"] \n  15 -> 43 [size =\"23373824\"]\n  16 [size=\"47009280\", alpha=\"0.09\", expect_size=\"18803712\"] \n  16 -> 43 [size =\"18803712\"]\n  17 [size=\"58383360\", alpha=\"0.04\", expect_size=\"23353344\"] \n  17 -> 41 [size =\"23353344\"]\n  17 -> 43 [size =\"23353344\"]\n  17 -> 44 [size =\"23353344\"]\n  18 [size=\"123192320\", alpha=\"0.01\", expect_size=\"49276928\"] \n  18 -> 39 [size =\"49276928\"]\n  18 -> 42 [size =\"49276928\"]\n  18 -> 44 [size =\"49276928\"]\n  19 [size=\"105282560\", alpha=\"0.13\", expect_size=\"42113024\"] \n  19 -> 39 [size =\"42113024\"]\n  20 [size=\"64760320\", alpha=\"0.10\", expect_size=\"25904128\"] \n  20 -> 42 [size =\"25904128\"]\n  20 -> 43 [size =\"25904128\"]\n  20 -> 44 [size =\"25904128\"]\n  21 [size=\"117219840\", alpha=\"0.09\", expect_size=\"46887936\"] \n  21 -> 41 [size =\"46887936\"]\n  21 -> 43 [size =\"46887936\"]\n  22 [size=\"48199680\", alpha=\"0.10\", expect_size=\"19279872\"] \n  22 -> 43 [size =\"19279872\"]\n  22 -> 44 [size =\"19279872\"]\n  23 [size=\"73085440\", alpha=\"0.07\", expect_size=\"29234176\"] \n  23 -> 41 [size =\"29234176\"]\n  23 -> 43 [size =\"29234176\"]\n  24 [size=\"21470720\", alpha=\"0.17\", expect_size=\"8588288\"] \n  24 -> 39 [size =\"8588288\"]\n  25 [size=\"101818880\", alpha=\"0.12\", expect_size=\"40727552\"] \n  25 -> 45 [size =\"40727552\"]\n  26 [size=\"53614080\", alpha=\"0.06\", expect_size=\"21445632\"] \n  27 [size=\"103795200\", alpha=\"0.12\", expect_size=\"41518080\"] \n  27 -> 42 [size =\"41518080\"]\n  27 -> 44 [size =\"41518080\"]\n  28 [size=\"124979200\", alpha=\"0.09\", expect_size=\"49991680\"] \n  28 -> 43 [size =\"49991680\"]\n  29 [size=\"13153280\", alpha=\"0.09\", expect_size=\"5261312\"] \n  29 -> 43 [size =\"5261312\"]\n  30 [size=\"88808960\", alpha=\"0.03\", expect_size=\"35523584\"] \n  30 -> 40 [size =\"35523584\"]\n  30 -> 44 [size =\"35523584\"]\n  31 [size=\"27066880\", alpha=\"0.17\", expect_size=\"10826752\"] \n  31 -> 42 [size =\"10826752\"]\n  31 -> 44 [size =\"10826752\"]\n  32 [size=\"80801280\", alpha=\"0.01\", expect_size=\"32320512\"] \n  32 -> 40 [size =\"32320512\"]\n  32 -> 43 [size =\"32320512\"]\n  32 -> 44 [size =\"32320512\"]\n  33 [size=\"20254720\", alpha=\"0.16\", expect_size=\"8101888\"] \n  33 -> 43 [size =\"8101888\"]\n  33 -> 44 [size =\"8101888\"]\n  34 [size=\"63267840\", alpha=\"0.09\", expect_size=\"25307136\"] \n  34 -> 41 [size =\"25307136\"]\n  34 -> 42 [size =\"25307136\"]\n  34 -> 43 [size =\"25307136\"]\n  35 [size=\"47370240\", alpha=\"0.10\", expect_size=\"18948096\"] \n  36 [size=\"115840000\", alpha=\"0.17\", expect_size=\"46336000\"] \n  36 -> 40 [size =\"46336000\"]\n  37 [size=\"31185920\", alpha=\"0.12\", expect_size=\"12474368\"] \n  37 -> 41 [size =\"12474368\"]\n  37 -> 42 [size =\"12474368\"]\n  38 [size=\"103354880\", alpha=\"0.05\", expect_size=\"41341952\"] \n  38 -> 42 [size =\"41341952\"]\n  39 [size=\"36963840\", alpha=\"0.14\", expect_size=\"14785536\"] \n  40 [size=\"87800320\", alpha=\"0.12\", expect_size=\"35120128\"] \n  41 [size=\"104773120\", alpha=\"0.07\", expect_size=\"41909248\"] \n  42 [size=\"89799680\", alpha=\"0.08\", expect_size=\"35919872\"] \n  43 [size=\"94302720\", alpha=\"0.20\", expect_size=\"37721088\"] \n  44 [size=\"69521920\", alpha=\"0.12\", expect_size=\"27808768\"] \n  45 [size=\"124203520\", alpha=\"0.00\", expect_size=\"49681408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14858240\", alpha=\"0.04\", expect_size=\"7429120\"] \n  1 -> 29 [size =\"7429120\"]\n  1 -> 30 [size =\"7429120\"]\n  1 -> 32 [size =\"7429120\"]\n  1 -> 38 [size =\"7429120\"]\n  1 -> 42 [size =\"7429120\"]\n  1 -> 43 [size =\"7429120\"]\n  2 [size=\"77361152\", alpha=\"0.11\", expect_size=\"38680576\"] \n  2 -> 32 [size =\"38680576\"]\n  2 -> 38 [size =\"38680576\"]\n  2 -> 42 [size =\"38680576\"]\n  3 [size=\"81831936\", alpha=\"0.17\", expect_size=\"40915968\"] \n  3 -> 29 [size =\"40915968\"]\n  3 -> 32 [size =\"40915968\"]\n  3 -> 33 [size =\"40915968\"]\n  3 -> 38 [size =\"40915968\"]\n  3 -> 42 [size =\"40915968\"]\n  3 -> 44 [size =\"40915968\"]\n  3 -> 45 [size =\"40915968\"]\n  4 [size=\"67133440\", alpha=\"0.02\", expect_size=\"33566720\"] \n  4 -> 31 [size =\"33566720\"]\n  4 -> 32 [size =\"33566720\"]\n  4 -> 33 [size =\"33566720\"]\n  4 -> 34 [size =\"33566720\"]\n  4 -> 35 [size =\"33566720\"]\n  4 -> 38 [size =\"33566720\"]\n  4 -> 41 [size =\"33566720\"]\n  4 -> 45 [size =\"33566720\"]\n  5 [size=\"27465728\", alpha=\"0.09\", expect_size=\"13732864\"] \n  5 -> 28 [size =\"13732864\"]\n  5 -> 33 [size =\"13732864\"]\n  5 -> 34 [size =\"13732864\"]\n  5 -> 35 [size =\"13732864\"]\n  5 -> 38 [size =\"13732864\"]\n  5 -> 38 [size =\"13732864\"]\n  6 [size=\"83034112\", alpha=\"0.01\", expect_size=\"41517056\"] \n  6 -> 28 [size =\"41517056\"]\n  6 -> 29 [size =\"41517056\"]\n  6 -> 34 [size =\"41517056\"]\n  6 -> 37 [size =\"41517056\"]\n  6 -> 43 [size =\"41517056\"]\n  7 [size=\"89008128\", alpha=\"0.03\", expect_size=\"44504064\"] \n  7 -> 29 [size =\"44504064\"]\n  7 -> 31 [size =\"44504064\"]\n  7 -> 34 [size =\"44504064\"]\n  7 -> 37 [size =\"44504064\"]\n  7 -> 43 [size =\"44504064\"]\n  7 -> 45 [size =\"44504064\"]\n  8 [size=\"19453952\", alpha=\"0.05\", expect_size=\"9726976\"] \n  8 -> 31 [size =\"9726976\"]\n  8 -> 34 [size =\"9726976\"]\n  8 -> 34 [size =\"9726976\"]\n  8 -> 37 [size =\"9726976\"]\n  8 -> 42 [size =\"9726976\"]\n  8 -> 43 [size =\"9726976\"]\n  9 [size=\"37015552\", alpha=\"0.08\", expect_size=\"18507776\"] \n  9 -> 31 [size =\"18507776\"]\n  9 -> 32 [size =\"18507776\"]\n  9 -> 33 [size =\"18507776\"]\n  9 -> 34 [size =\"18507776\"]\n  9 -> 36 [size =\"18507776\"]\n  9 -> 45 [size =\"18507776\"]\n  10 [size=\"23851008\", alpha=\"0.16\", expect_size=\"11925504\"] \n  10 -> 28 [size =\"11925504\"]\n  10 -> 30 [size =\"11925504\"]\n  10 -> 36 [size =\"11925504\"]\n  10 -> 38 [size =\"11925504\"]\n  10 -> 41 [size =\"11925504\"]\n  10 -> 42 [size =\"11925504\"]\n  10 -> 43 [size =\"11925504\"]\n  10 -> 44 [size =\"11925504\"]\n  11 [size=\"74182656\", alpha=\"0.14\", expect_size=\"37091328\"] \n  11 -> 28 [size =\"37091328\"]\n  11 -> 29 [size =\"37091328\"]\n  11 -> 30 [size =\"37091328\"]\n  11 -> 32 [size =\"37091328\"]\n  11 -> 33 [size =\"37091328\"]\n  11 -> 36 [size =\"37091328\"]\n  11 -> 41 [size =\"37091328\"]\n  11 -> 43 [size =\"37091328\"]\n  12 [size=\"94773248\", alpha=\"0.12\", expect_size=\"47386624\"] \n  12 -> 29 [size =\"47386624\"]\n  12 -> 32 [size =\"47386624\"]\n  12 -> 33 [size =\"47386624\"]\n  12 -> 37 [size =\"47386624\"]\n  12 -> 42 [size =\"47386624\"]\n  12 -> 43 [size =\"47386624\"]\n  13 [size=\"50573312\", alpha=\"0.03\", expect_size=\"25286656\"] \n  13 -> 29 [size =\"25286656\"]\n  13 -> 34 [size =\"25286656\"]\n  13 -> 40 [size =\"25286656\"]\n  13 -> 42 [size =\"25286656\"]\n  13 -> 45 [size =\"25286656\"]\n  14 [size=\"37216256\", alpha=\"0.10\", expect_size=\"18608128\"] \n  14 -> 28 [size =\"18608128\"]\n  14 -> 32 [size =\"18608128\"]\n  14 -> 33 [size =\"18608128\"]\n  14 -> 34 [size =\"18608128\"]\n  14 -> 35 [size =\"18608128\"]\n  14 -> 36 [size =\"18608128\"]\n  14 -> 38 [size =\"18608128\"]\n  14 -> 42 [size =\"18608128\"]\n  14 -> 44 [size =\"18608128\"]\n  15 [size=\"47753216\", alpha=\"0.15\", expect_size=\"23876608\"] \n  15 -> 31 [size =\"23876608\"]\n  15 -> 34 [size =\"23876608\"]\n  15 -> 35 [size =\"23876608\"]\n  15 -> 37 [size =\"23876608\"]\n  15 -> 38 [size =\"23876608\"]\n  15 -> 42 [size =\"23876608\"]\n  15 -> 43 [size =\"23876608\"]\n  16 [size=\"89331712\", alpha=\"0.13\", expect_size=\"44665856\"] \n  16 -> 29 [size =\"44665856\"]\n  16 -> 31 [size =\"44665856\"]\n  16 -> 32 [size =\"44665856\"]\n  16 -> 37 [size =\"44665856\"]\n  16 -> 42 [size =\"44665856\"]\n  16 -> 43 [size =\"44665856\"]\n  17 [size=\"96215040\", alpha=\"0.16\", expect_size=\"48107520\"] \n  17 -> 32 [size =\"48107520\"]\n  17 -> 36 [size =\"48107520\"]\n  17 -> 37 [size =\"48107520\"]\n  17 -> 42 [size =\"48107520\"]\n  17 -> 43 [size =\"48107520\"]\n  17 -> 45 [size =\"48107520\"]\n  18 [size=\"15699968\", alpha=\"0.07\", expect_size=\"7849984\"] \n  18 -> 29 [size =\"7849984\"]\n  18 -> 30 [size =\"7849984\"]\n  18 -> 31 [size =\"7849984\"]\n  18 -> 34 [size =\"7849984\"]\n  18 -> 35 [size =\"7849984\"]\n  18 -> 37 [size =\"7849984\"]\n  19 [size=\"41420800\", alpha=\"0.10\", expect_size=\"20710400\"] \n  19 -> 38 [size =\"20710400\"]\n  20 [size=\"80809984\", alpha=\"0.13\", expect_size=\"40404992\"] \n  20 -> 29 [size =\"40404992\"]\n  20 -> 30 [size =\"40404992\"]\n  20 -> 34 [size =\"40404992\"]\n  20 -> 41 [size =\"40404992\"]\n  21 [size=\"59738112\", alpha=\"0.17\", expect_size=\"29869056\"] \n  21 -> 34 [size =\"29869056\"]\n  21 -> 38 [size =\"29869056\"]\n  21 -> 41 [size =\"29869056\"]\n  21 -> 43 [size =\"29869056\"]\n  22 [size=\"31639552\", alpha=\"0.16\", expect_size=\"15819776\"] \n  22 -> 32 [size =\"15819776\"]\n  22 -> 33 [size =\"15819776\"]\n  22 -> 34 [size =\"15819776\"]\n  22 -> 38 [size =\"15819776\"]\n  22 -> 41 [size =\"15819776\"]\n  22 -> 43 [size =\"15819776\"]\n  23 [size=\"85925888\", alpha=\"0.09\", expect_size=\"42962944\"] \n  23 -> 29 [size =\"42962944\"]\n  23 -> 36 [size =\"42962944\"]\n  23 -> 37 [size =\"42962944\"]\n  23 -> 38 [size =\"42962944\"]\n  23 -> 43 [size =\"42962944\"]\n  23 -> 43 [size =\"42962944\"]\n  23 -> 45 [size =\"42962944\"]\n  24 [size=\"102277120\", alpha=\"0.14\", expect_size=\"51138560\"] \n  24 -> 32 [size =\"51138560\"]\n  24 -> 38 [size =\"51138560\"]\n  24 -> 39 [size =\"51138560\"]\n  24 -> 42 [size =\"51138560\"]\n  24 -> 44 [size =\"51138560\"]\n  25 [size=\"53833728\", alpha=\"0.03\", expect_size=\"26916864\"] \n  25 -> 28 [size =\"26916864\"]\n  25 -> 29 [size =\"26916864\"]\n  25 -> 34 [size =\"26916864\"]\n  25 -> 36 [size =\"26916864\"]\n  25 -> 38 [size =\"26916864\"]\n  25 -> 40 [size =\"26916864\"]\n  25 -> 42 [size =\"26916864\"]\n  25 -> 43 [size =\"26916864\"]\n  25 -> 44 [size =\"26916864\"]\n  25 -> 45 [size =\"26916864\"]\n  26 [size=\"31631360\", alpha=\"0.08\", expect_size=\"15815680\"] \n  26 -> 31 [size =\"15815680\"]\n  26 -> 38 [size =\"15815680\"]\n  26 -> 42 [size =\"15815680\"]\n  26 -> 45 [size =\"15815680\"]\n  27 [size=\"94394368\", alpha=\"0.09\", expect_size=\"47197184\"] \n  27 -> 28 [size =\"47197184\"]\n  27 -> 38 [size =\"47197184\"]\n  27 -> 40 [size =\"47197184\"]\n  27 -> 41 [size =\"47197184\"]\n  27 -> 43 [size =\"47197184\"]\n  27 -> 45 [size =\"47197184\"]\n  28 [size=\"77025280\", alpha=\"0.11\", expect_size=\"38512640\"] \n  29 [size=\"16441344\", alpha=\"0.20\", expect_size=\"8220672\"] \n  30 [size=\"64657408\", alpha=\"0.11\", expect_size=\"32328704\"] \n  31 [size=\"33218560\", alpha=\"0.16\", expect_size=\"16609280\"] \n  32 [size=\"20871168\", alpha=\"0.19\", expect_size=\"10435584\"] \n  33 [size=\"94490624\", alpha=\"0.10\", expect_size=\"47245312\"] \n  34 [size=\"42309632\", alpha=\"0.07\", expect_size=\"21154816\"] \n  35 [size=\"15347712\", alpha=\"0.11\", expect_size=\"7673856\"] \n  36 [size=\"30586880\", alpha=\"0.13\", expect_size=\"15293440\"] \n  37 [size=\"66203648\", alpha=\"0.12\", expect_size=\"33101824\"] \n  38 [size=\"11978752\", alpha=\"0.13\", expect_size=\"5989376\"] \n  39 [size=\"65626112\", alpha=\"0.00\", expect_size=\"32813056\"] \n  40 [size=\"64931840\", alpha=\"0.03\", expect_size=\"32465920\"] \n  41 [size=\"23263232\", alpha=\"0.15\", expect_size=\"11631616\"] \n  42 [size=\"98689024\", alpha=\"0.12\", expect_size=\"49344512\"] \n  43 [size=\"92383232\", alpha=\"0.05\", expect_size=\"46191616\"] \n  44 [size=\"44431360\", alpha=\"0.18\", expect_size=\"22215680\"] \n  45 [size=\"75941888\", alpha=\"0.20\", expect_size=\"37970944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59846656\", alpha=\"0.19\", expect_size=\"29923328\"] \n  1 -> 14 [size =\"29923328\"]\n  1 -> 18 [size =\"29923328\"]\n  1 -> 19 [size =\"29923328\"]\n  1 -> 26 [size =\"29923328\"]\n  2 [size=\"50108416\", alpha=\"0.17\", expect_size=\"25054208\"] \n  2 -> 25 [size =\"25054208\"]\n  2 -> 26 [size =\"25054208\"]\n  2 -> 27 [size =\"25054208\"]\n  3 [size=\"94515200\", alpha=\"0.00\", expect_size=\"47257600\"] \n  3 -> 15 [size =\"47257600\"]\n  3 -> 26 [size =\"47257600\"]\n  4 [size=\"36065280\", alpha=\"0.03\", expect_size=\"18032640\"] \n  4 -> 15 [size =\"18032640\"]\n  4 -> 20 [size =\"18032640\"]\n  4 -> 23 [size =\"18032640\"]\n  4 -> 25 [size =\"18032640\"]\n  4 -> 26 [size =\"18032640\"]\n  5 [size=\"56733696\", alpha=\"0.10\", expect_size=\"28366848\"] \n  5 -> 15 [size =\"28366848\"]\n  5 -> 22 [size =\"28366848\"]\n  5 -> 25 [size =\"28366848\"]\n  6 [size=\"16513024\", alpha=\"0.11\", expect_size=\"8256512\"] \n  6 -> 15 [size =\"8256512\"]\n  6 -> 19 [size =\"8256512\"]\n  6 -> 20 [size =\"8256512\"]\n  6 -> 25 [size =\"8256512\"]\n  6 -> 27 [size =\"8256512\"]\n  7 [size=\"35174400\", alpha=\"0.05\", expect_size=\"17587200\"] \n  7 -> 14 [size =\"17587200\"]\n  7 -> 24 [size =\"17587200\"]\n  7 -> 25 [size =\"17587200\"]\n  8 [size=\"31049728\", alpha=\"0.05\", expect_size=\"15524864\"] \n  8 -> 14 [size =\"15524864\"]\n  8 -> 18 [size =\"15524864\"]\n  8 -> 19 [size =\"15524864\"]\n  8 -> 24 [size =\"15524864\"]\n  9 [size=\"76900352\", alpha=\"0.00\", expect_size=\"38450176\"] \n  9 -> 16 [size =\"38450176\"]\n  9 -> 19 [size =\"38450176\"]\n  9 -> 21 [size =\"38450176\"]\n  9 -> 24 [size =\"38450176\"]\n  10 [size=\"23681024\", alpha=\"0.20\", expect_size=\"11840512\"] \n  10 -> 14 [size =\"11840512\"]\n  10 -> 15 [size =\"11840512\"]\n  10 -> 19 [size =\"11840512\"]\n  10 -> 23 [size =\"11840512\"]\n  10 -> 25 [size =\"11840512\"]\n  11 [size=\"13096960\", alpha=\"0.17\", expect_size=\"6548480\"] \n  11 -> 14 [size =\"6548480\"]\n  11 -> 15 [size =\"6548480\"]\n  11 -> 22 [size =\"6548480\"]\n  11 -> 23 [size =\"6548480\"]\n  11 -> 27 [size =\"6548480\"]\n  12 [size=\"103559168\", alpha=\"0.01\", expect_size=\"51779584\"] \n  12 -> 15 [size =\"51779584\"]\n  12 -> 19 [size =\"51779584\"]\n  12 -> 20 [size =\"51779584\"]\n  12 -> 23 [size =\"51779584\"]\n  13 [size=\"89892864\", alpha=\"0.02\", expect_size=\"44946432\"] \n  13 -> 14 [size =\"44946432\"]\n  13 -> 16 [size =\"44946432\"]\n  13 -> 17 [size =\"44946432\"]\n  13 -> 25 [size =\"44946432\"]\n  13 -> 26 [size =\"44946432\"]\n  14 [size=\"91910144\", alpha=\"0.16\", expect_size=\"45955072\"] \n  14 -> 29 [size =\"45955072\"]\n  14 -> 31 [size =\"45955072\"]\n  14 -> 32 [size =\"45955072\"]\n  14 -> 33 [size =\"45955072\"]\n  14 -> 36 [size =\"45955072\"]\n  14 -> 40 [size =\"45955072\"]\n  15 [size=\"12828672\", alpha=\"0.17\", expect_size=\"6414336\"] \n  15 -> 31 [size =\"6414336\"]\n  15 -> 32 [size =\"6414336\"]\n  15 -> 33 [size =\"6414336\"]\n  15 -> 33 [size =\"6414336\"]\n  15 -> 34 [size =\"6414336\"]\n  15 -> 36 [size =\"6414336\"]\n  16 [size=\"58740736\", alpha=\"0.18\", expect_size=\"29370368\"] \n  16 -> 31 [size =\"29370368\"]\n  16 -> 33 [size =\"29370368\"]\n  16 -> 35 [size =\"29370368\"]\n  16 -> 42 [size =\"29370368\"]\n  17 [size=\"18333696\", alpha=\"0.03\", expect_size=\"9166848\"] \n  17 -> 33 [size =\"9166848\"]\n  17 -> 35 [size =\"9166848\"]\n  17 -> 37 [size =\"9166848\"]\n  17 -> 38 [size =\"9166848\"]\n  17 -> 40 [size =\"9166848\"]\n  18 [size=\"41099264\", alpha=\"0.11\", expect_size=\"20549632\"] \n  18 -> 29 [size =\"20549632\"]\n  18 -> 30 [size =\"20549632\"]\n  18 -> 39 [size =\"20549632\"]\n  18 -> 42 [size =\"20549632\"]\n  19 [size=\"64905216\", alpha=\"0.13\", expect_size=\"32452608\"] \n  19 -> 32 [size =\"32452608\"]\n  19 -> 36 [size =\"32452608\"]\n  19 -> 38 [size =\"32452608\"]\n  19 -> 40 [size =\"32452608\"]\n  19 -> 42 [size =\"32452608\"]\n  20 [size=\"66785280\", alpha=\"0.11\", expect_size=\"33392640\"] \n  20 -> 35 [size =\"33392640\"]\n  20 -> 36 [size =\"33392640\"]\n  20 -> 42 [size =\"33392640\"]\n  21 [size=\"64688128\", alpha=\"0.19\", expect_size=\"32344064\"] \n  22 [size=\"50831360\", alpha=\"0.15\", expect_size=\"25415680\"] \n  22 -> 28 [size =\"25415680\"]\n  22 -> 34 [size =\"25415680\"]\n  22 -> 35 [size =\"25415680\"]\n  23 [size=\"53741568\", alpha=\"0.09\", expect_size=\"26870784\"] \n  23 -> 28 [size =\"26870784\"]\n  23 -> 37 [size =\"26870784\"]\n  24 [size=\"65341440\", alpha=\"0.09\", expect_size=\"32670720\"] \n  24 -> 28 [size =\"32670720\"]\n  24 -> 32 [size =\"32670720\"]\n  24 -> 41 [size =\"32670720\"]\n  25 [size=\"45049856\", alpha=\"0.18\", expect_size=\"22524928\"] \n  25 -> 34 [size =\"22524928\"]\n  25 -> 37 [size =\"22524928\"]\n  25 -> 38 [size =\"22524928\"]\n  25 -> 40 [size =\"22524928\"]\n  26 [size=\"31381504\", alpha=\"0.09\", expect_size=\"15690752\"] \n  26 -> 28 [size =\"15690752\"]\n  26 -> 34 [size =\"15690752\"]\n  26 -> 35 [size =\"15690752\"]\n  26 -> 41 [size =\"15690752\"]\n  27 [size=\"23308288\", alpha=\"0.05\", expect_size=\"11654144\"] \n  27 -> 35 [size =\"11654144\"]\n  28 [size=\"36018176\", alpha=\"0.05\", expect_size=\"18009088\"] \n  29 [size=\"88762368\", alpha=\"0.19\", expect_size=\"44381184\"] \n  30 [size=\"56489984\", alpha=\"0.16\", expect_size=\"28244992\"] \n  30 -> 44 [size =\"28244992\"]\n  31 [size=\"12337152\", alpha=\"0.14\", expect_size=\"6168576\"] \n  31 -> 43 [size =\"6168576\"]\n  32 [size=\"100040704\", alpha=\"0.11\", expect_size=\"50020352\"] \n  32 -> 43 [size =\"50020352\"]\n  33 [size=\"76105728\", alpha=\"0.05\", expect_size=\"38052864\"] \n  34 [size=\"24563712\", alpha=\"0.17\", expect_size=\"12281856\"] \n  34 -> 43 [size =\"12281856\"]\n  34 -> 44 [size =\"12281856\"]\n  35 [size=\"65368064\", alpha=\"0.09\", expect_size=\"32684032\"] \n  36 [size=\"56023040\", alpha=\"0.11\", expect_size=\"28011520\"] \n  36 -> 44 [size =\"28011520\"]\n  37 [size=\"96931840\", alpha=\"0.15\", expect_size=\"48465920\"] \n  37 -> 45 [size =\"48465920\"]\n  38 [size=\"24037376\", alpha=\"0.05\", expect_size=\"12018688\"] \n  38 -> 43 [size =\"12018688\"]\n  39 [size=\"46651392\", alpha=\"0.07\", expect_size=\"23325696\"] \n  39 -> 43 [size =\"23325696\"]\n  39 -> 44 [size =\"23325696\"]\n  40 [size=\"42442752\", alpha=\"0.01\", expect_size=\"21221376\"] \n  40 -> 44 [size =\"21221376\"]\n  41 [size=\"24610816\", alpha=\"0.06\", expect_size=\"12305408\"] \n  42 [size=\"90138624\", alpha=\"0.00\", expect_size=\"45069312\"] \n  43 [size=\"48984064\", alpha=\"0.03\", expect_size=\"24492032\"] \n  44 [size=\"74926080\", alpha=\"0.18\", expect_size=\"37463040\"] \n  45 [size=\"60649472\", alpha=\"0.20\", expect_size=\"30324736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75900928\", alpha=\"0.09\", expect_size=\"37950464\"] \n  1 -> 7 [size =\"37950464\"]\n  1 -> 10 [size =\"37950464\"]\n  1 -> 11 [size =\"37950464\"]\n  1 -> 11 [size =\"37950464\"]\n  2 [size=\"47042560\", alpha=\"0.00\", expect_size=\"23521280\"] \n  2 -> 7 [size =\"23521280\"]\n  2 -> 10 [size =\"23521280\"]\n  2 -> 11 [size =\"23521280\"]\n  3 [size=\"20224000\", alpha=\"0.18\", expect_size=\"10112000\"] \n  3 -> 7 [size =\"10112000\"]\n  3 -> 9 [size =\"10112000\"]\n  3 -> 10 [size =\"10112000\"]\n  4 [size=\"45547520\", alpha=\"0.07\", expect_size=\"22773760\"] \n  4 -> 7 [size =\"22773760\"]\n  4 -> 9 [size =\"22773760\"]\n  4 -> 10 [size =\"22773760\"]\n  4 -> 11 [size =\"22773760\"]\n  5 [size=\"95178752\", alpha=\"0.15\", expect_size=\"47589376\"] \n  5 -> 7 [size =\"47589376\"]\n  5 -> 8 [size =\"47589376\"]\n  5 -> 9 [size =\"47589376\"]\n  5 -> 10 [size =\"47589376\"]\n  6 [size=\"15011840\", alpha=\"0.02\", expect_size=\"7505920\"] \n  6 -> 7 [size =\"7505920\"]\n  6 -> 9 [size =\"7505920\"]\n  6 -> 9 [size =\"7505920\"]\n  6 -> 11 [size =\"7505920\"]\n  7 [size=\"52031488\", alpha=\"0.03\", expect_size=\"26015744\"] \n  7 -> 12 [size =\"26015744\"]\n  7 -> 14 [size =\"26015744\"]\n  7 -> 18 [size =\"26015744\"]\n  8 [size=\"22730752\", alpha=\"0.17\", expect_size=\"11365376\"] \n  8 -> 13 [size =\"11365376\"]\n  8 -> 14 [size =\"11365376\"]\n  8 -> 18 [size =\"11365376\"]\n  9 [size=\"54222848\", alpha=\"0.07\", expect_size=\"27111424\"] \n  9 -> 13 [size =\"27111424\"]\n  9 -> 15 [size =\"27111424\"]\n  9 -> 16 [size =\"27111424\"]\n  9 -> 17 [size =\"27111424\"]\n  9 -> 18 [size =\"27111424\"]\n  10 [size=\"24537088\", alpha=\"0.02\", expect_size=\"12268544\"] \n  10 -> 12 [size =\"12268544\"]\n  10 -> 13 [size =\"12268544\"]\n  10 -> 15 [size =\"12268544\"]\n  10 -> 16 [size =\"12268544\"]\n  11 [size=\"13778944\", alpha=\"0.17\", expect_size=\"6889472\"] \n  11 -> 12 [size =\"6889472\"]\n  11 -> 13 [size =\"6889472\"]\n  11 -> 14 [size =\"6889472\"]\n  11 -> 15 [size =\"6889472\"]\n  11 -> 16 [size =\"6889472\"]\n  11 -> 18 [size =\"6889472\"]\n  12 [size=\"54104064\", alpha=\"0.18\", expect_size=\"27052032\"] \n  12 -> 20 [size =\"27052032\"]\n  12 -> 21 [size =\"27052032\"]\n  12 -> 22 [size =\"27052032\"]\n  13 [size=\"55783424\", alpha=\"0.07\", expect_size=\"27891712\"] \n  13 -> 19 [size =\"27891712\"]\n  13 -> 21 [size =\"27891712\"]\n  13 -> 23 [size =\"27891712\"]\n  14 [size=\"44836864\", alpha=\"0.15\", expect_size=\"22418432\"] \n  14 -> 19 [size =\"22418432\"]\n  14 -> 21 [size =\"22418432\"]\n  14 -> 22 [size =\"22418432\"]\n  14 -> 23 [size =\"22418432\"]\n  15 [size=\"78497792\", alpha=\"0.17\", expect_size=\"39248896\"] \n  15 -> 19 [size =\"39248896\"]\n  15 -> 23 [size =\"39248896\"]\n  16 [size=\"55519232\", alpha=\"0.04\", expect_size=\"27759616\"] \n  16 -> 21 [size =\"27759616\"]\n  16 -> 23 [size =\"27759616\"]\n  17 [size=\"64194560\", alpha=\"0.18\", expect_size=\"32097280\"] \n  17 -> 21 [size =\"32097280\"]\n  17 -> 22 [size =\"32097280\"]\n  17 -> 23 [size =\"32097280\"]\n  18 [size=\"77387776\", alpha=\"0.09\", expect_size=\"38693888\"] \n  18 -> 21 [size =\"38693888\"]\n  18 -> 22 [size =\"38693888\"]\n  18 -> 23 [size =\"38693888\"]\n  19 [size=\"64428032\", alpha=\"0.20\", expect_size=\"32214016\"] \n  19 -> 24 [size =\"32214016\"]\n  19 -> 25 [size =\"32214016\"]\n  19 -> 26 [size =\"32214016\"]\n  19 -> 27 [size =\"32214016\"]\n  19 -> 28 [size =\"32214016\"]\n  19 -> 29 [size =\"32214016\"]\n  20 [size=\"96970752\", alpha=\"0.10\", expect_size=\"48485376\"] \n  20 -> 24 [size =\"48485376\"]\n  20 -> 25 [size =\"48485376\"]\n  20 -> 27 [size =\"48485376\"]\n  20 -> 28 [size =\"48485376\"]\n  20 -> 29 [size =\"48485376\"]\n  21 [size=\"12122112\", alpha=\"0.14\", expect_size=\"6061056\"] \n  21 -> 24 [size =\"6061056\"]\n  21 -> 25 [size =\"6061056\"]\n  21 -> 28 [size =\"6061056\"]\n  22 [size=\"94242816\", alpha=\"0.05\", expect_size=\"47121408\"] \n  22 -> 24 [size =\"47121408\"]\n  22 -> 26 [size =\"47121408\"]\n  22 -> 27 [size =\"47121408\"]\n  22 -> 28 [size =\"47121408\"]\n  22 -> 29 [size =\"47121408\"]\n  23 [size=\"83558400\", alpha=\"0.19\", expect_size=\"41779200\"] \n  23 -> 24 [size =\"41779200\"]\n  23 -> 25 [size =\"41779200\"]\n  23 -> 26 [size =\"41779200\"]\n  23 -> 28 [size =\"41779200\"]\n  23 -> 29 [size =\"41779200\"]\n  24 [size=\"20619264\", alpha=\"0.20\", expect_size=\"10309632\"] \n  24 -> 32 [size =\"10309632\"]\n  24 -> 32 [size =\"10309632\"]\n  24 -> 33 [size =\"10309632\"]\n  24 -> 34 [size =\"10309632\"]\n  24 -> 36 [size =\"10309632\"]\n  25 [size=\"93179904\", alpha=\"0.19\", expect_size=\"46589952\"] \n  25 -> 30 [size =\"46589952\"]\n  25 -> 31 [size =\"46589952\"]\n  25 -> 33 [size =\"46589952\"]\n  25 -> 34 [size =\"46589952\"]\n  25 -> 35 [size =\"46589952\"]\n  26 [size=\"78217216\", alpha=\"0.19\", expect_size=\"39108608\"] \n  26 -> 30 [size =\"39108608\"]\n  26 -> 33 [size =\"39108608\"]\n  26 -> 33 [size =\"39108608\"]\n  26 -> 34 [size =\"39108608\"]\n  26 -> 36 [size =\"39108608\"]\n  27 [size=\"97636352\", alpha=\"0.07\", expect_size=\"48818176\"] \n  27 -> 30 [size =\"48818176\"]\n  27 -> 31 [size =\"48818176\"]\n  27 -> 33 [size =\"48818176\"]\n  27 -> 35 [size =\"48818176\"]\n  27 -> 36 [size =\"48818176\"]\n  28 [size=\"88682496\", alpha=\"0.19\", expect_size=\"44341248\"] \n  28 -> 33 [size =\"44341248\"]\n  28 -> 35 [size =\"44341248\"]\n  29 [size=\"38479872\", alpha=\"0.19\", expect_size=\"19239936\"] \n  29 -> 30 [size =\"19239936\"]\n  29 -> 32 [size =\"19239936\"]\n  29 -> 34 [size =\"19239936\"]\n  29 -> 35 [size =\"19239936\"]\n  30 [size=\"37883904\", alpha=\"0.03\", expect_size=\"18941952\"] \n  30 -> 40 [size =\"18941952\"]\n  31 [size=\"84023296\", alpha=\"0.07\", expect_size=\"42011648\"] \n  31 -> 39 [size =\"42011648\"]\n  31 -> 40 [size =\"42011648\"]\n  31 -> 42 [size =\"42011648\"]\n  32 [size=\"53571584\", alpha=\"0.01\", expect_size=\"26785792\"] \n  32 -> 37 [size =\"26785792\"]\n  32 -> 40 [size =\"26785792\"]\n  32 -> 42 [size =\"26785792\"]\n  33 [size=\"77457408\", alpha=\"0.04\", expect_size=\"38728704\"] \n  33 -> 37 [size =\"38728704\"]\n  33 -> 38 [size =\"38728704\"]\n  33 -> 39 [size =\"38728704\"]\n  33 -> 40 [size =\"38728704\"]\n  33 -> 41 [size =\"38728704\"]\n  33 -> 42 [size =\"38728704\"]\n  34 [size=\"71051264\", alpha=\"0.14\", expect_size=\"35525632\"] \n  34 -> 37 [size =\"35525632\"]\n  34 -> 41 [size =\"35525632\"]\n  34 -> 42 [size =\"35525632\"]\n  35 [size=\"69412864\", alpha=\"0.19\", expect_size=\"34706432\"] \n  35 -> 37 [size =\"34706432\"]\n  35 -> 38 [size =\"34706432\"]\n  35 -> 41 [size =\"34706432\"]\n  35 -> 42 [size =\"34706432\"]\n  36 [size=\"62867456\", alpha=\"0.13\", expect_size=\"31433728\"] \n  36 -> 37 [size =\"31433728\"]\n  36 -> 38 [size =\"31433728\"]\n  36 -> 42 [size =\"31433728\"]\n  37 [size=\"55941120\", alpha=\"0.19\", expect_size=\"27970560\"] \n  37 -> 43 [size =\"27970560\"]\n  37 -> 44 [size =\"27970560\"]\n  38 [size=\"90181632\", alpha=\"0.19\", expect_size=\"45090816\"] \n  38 -> 43 [size =\"45090816\"]\n  38 -> 44 [size =\"45090816\"]\n  39 [size=\"83460096\", alpha=\"0.10\", expect_size=\"41730048\"] \n  39 -> 43 [size =\"41730048\"]\n  39 -> 44 [size =\"41730048\"]\n  40 [size=\"79517696\", alpha=\"0.20\", expect_size=\"39758848\"] \n  40 -> 45 [size =\"39758848\"]\n  41 [size=\"92407808\", alpha=\"0.10\", expect_size=\"46203904\"] \n  41 -> 44 [size =\"46203904\"]\n  42 [size=\"31053824\", alpha=\"0.18\", expect_size=\"15526912\"] \n  43 [size=\"33441792\", alpha=\"0.01\", expect_size=\"16720896\"] \n  44 [size=\"50503680\", alpha=\"0.06\", expect_size=\"25251840\"] \n  45 [size=\"22218752\", alpha=\"0.09\", expect_size=\"11109376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"163013973\", alpha=\"0.10\", expect_size=\"48904192\"] \n  1 -> 5 [size =\"48904192\"]\n  1 -> 9 [size =\"48904192\"]\n  2 [size=\"103522987\", alpha=\"0.05\", expect_size=\"31056896\"] \n  2 -> 5 [size =\"31056896\"]\n  3 [size=\"109339307\", alpha=\"0.13\", expect_size=\"32801792\"] \n  3 -> 6 [size =\"32801792\"]\n  3 -> 8 [size =\"32801792\"]\n  3 -> 9 [size =\"32801792\"]\n  4 [size=\"166232747\", alpha=\"0.10\", expect_size=\"49869824\"] \n  4 -> 5 [size =\"49869824\"]\n  4 -> 7 [size =\"49869824\"]\n  4 -> 9 [size =\"49869824\"]\n  5 [size=\"50083840\", alpha=\"0.02\", expect_size=\"15025152\"] \n  5 -> 10 [size =\"15025152\"]\n  5 -> 11 [size =\"15025152\"]\n  5 -> 12 [size =\"15025152\"]\n  6 [size=\"105035093\", alpha=\"0.01\", expect_size=\"31510528\"] \n  6 -> 10 [size =\"31510528\"]\n  6 -> 11 [size =\"31510528\"]\n  7 [size=\"144578560\", alpha=\"0.11\", expect_size=\"43373568\"] \n  7 -> 10 [size =\"43373568\"]\n  7 -> 11 [size =\"43373568\"]\n  7 -> 12 [size =\"43373568\"]\n  7 -> 14 [size =\"43373568\"]\n  8 [size=\"83425280\", alpha=\"0.14\", expect_size=\"25027584\"] \n  8 -> 14 [size =\"25027584\"]\n  9 [size=\"160866987\", alpha=\"0.19\", expect_size=\"48260096\"] \n  9 -> 10 [size =\"48260096\"]\n  9 -> 11 [size =\"48260096\"]\n  9 -> 13 [size =\"48260096\"]\n  9 -> 15 [size =\"48260096\"]\n  10 [size=\"149715627\", alpha=\"0.14\", expect_size=\"44914688\"] \n  10 -> 18 [size =\"44914688\"]\n  11 [size=\"82875733\", alpha=\"0.16\", expect_size=\"24862720\"] \n  11 -> 16 [size =\"24862720\"]\n  11 -> 19 [size =\"24862720\"]\n  12 [size=\"157716480\", alpha=\"0.09\", expect_size=\"47314944\"] \n  12 -> 17 [size =\"47314944\"]\n  13 [size=\"37795840\", alpha=\"0.15\", expect_size=\"11338752\"] \n  13 -> 16 [size =\"11338752\"]\n  13 -> 20 [size =\"11338752\"]\n  14 [size=\"136192000\", alpha=\"0.09\", expect_size=\"40857600\"] \n  14 -> 17 [size =\"40857600\"]\n  14 -> 18 [size =\"40857600\"]\n  14 -> 20 [size =\"40857600\"]\n  15 [size=\"61026987\", alpha=\"0.05\", expect_size=\"18308096\"] \n  15 -> 18 [size =\"18308096\"]\n  15 -> 19 [size =\"18308096\"]\n  15 -> 20 [size =\"18308096\"]\n  16 [size=\"75086507\", alpha=\"0.02\", expect_size=\"22525952\"] \n  16 -> 21 [size =\"22525952\"]\n  16 -> 25 [size =\"22525952\"]\n  16 -> 26 [size =\"22525952\"]\n  17 [size=\"80592213\", alpha=\"0.12\", expect_size=\"24177664\"] \n  17 -> 22 [size =\"24177664\"]\n  17 -> 27 [size =\"24177664\"]\n  18 [size=\"165649067\", alpha=\"0.03\", expect_size=\"49694720\"] \n  18 -> 23 [size =\"49694720\"]\n  19 [size=\"118944427\", alpha=\"0.08\", expect_size=\"35683328\"] \n  19 -> 24 [size =\"35683328\"]\n  20 [size=\"114657280\", alpha=\"0.10\", expect_size=\"34397184\"] \n  20 -> 24 [size =\"34397184\"]\n  20 -> 25 [size =\"34397184\"]\n  21 [size=\"64546133\", alpha=\"0.11\", expect_size=\"19363840\"] \n  21 -> 28 [size =\"19363840\"]\n  21 -> 29 [size =\"19363840\"]\n  21 -> 32 [size =\"19363840\"]\n  22 [size=\"33024000\", alpha=\"0.02\", expect_size=\"9907200\"] \n  22 -> 29 [size =\"9907200\"]\n  22 -> 34 [size =\"9907200\"]\n  23 [size=\"101236053\", alpha=\"0.06\", expect_size=\"30370816\"] \n  23 -> 28 [size =\"30370816\"]\n  23 -> 29 [size =\"30370816\"]\n  23 -> 31 [size =\"30370816\"]\n  23 -> 32 [size =\"30370816\"]\n  23 -> 33 [size =\"30370816\"]\n  23 -> 34 [size =\"30370816\"]\n  24 [size=\"59286187\", alpha=\"0.08\", expect_size=\"17785856\"] \n  24 -> 29 [size =\"17785856\"]\n  24 -> 30 [size =\"17785856\"]\n  24 -> 31 [size =\"17785856\"]\n  24 -> 32 [size =\"17785856\"]\n  24 -> 33 [size =\"17785856\"]\n  25 [size=\"131614720\", alpha=\"0.14\", expect_size=\"39484416\"] \n  25 -> 30 [size =\"39484416\"]\n  25 -> 32 [size =\"39484416\"]\n  25 -> 33 [size =\"39484416\"]\n  26 [size=\"174230187\", alpha=\"0.12\", expect_size=\"52269056\"] \n  26 -> 28 [size =\"52269056\"]\n  26 -> 33 [size =\"52269056\"]\n  27 [size=\"29460480\", alpha=\"0.05\", expect_size=\"8838144\"] \n  27 -> 33 [size =\"8838144\"]\n  28 [size=\"122589867\", alpha=\"0.07\", expect_size=\"36776960\"] \n  28 -> 36 [size =\"36776960\"]\n  28 -> 37 [size =\"36776960\"]\n  28 -> 39 [size =\"36776960\"]\n  28 -> 40 [size =\"36776960\"]\n  29 [size=\"147172693\", alpha=\"0.07\", expect_size=\"44151808\"] \n  30 [size=\"52964693\", alpha=\"0.04\", expect_size=\"15889408\"] \n  30 -> 36 [size =\"15889408\"]\n  31 [size=\"132734293\", alpha=\"0.10\", expect_size=\"39820288\"] \n  31 -> 40 [size =\"39820288\"]\n  32 [size=\"60153173\", alpha=\"0.13\", expect_size=\"18045952\"] \n  32 -> 35 [size =\"18045952\"]\n  32 -> 36 [size =\"18045952\"]\n  32 -> 38 [size =\"18045952\"]\n  32 -> 39 [size =\"18045952\"]\n  32 -> 40 [size =\"18045952\"]\n  33 [size=\"78564693\", alpha=\"0.19\", expect_size=\"23569408\"] \n  33 -> 39 [size =\"23569408\"]\n  34 [size=\"122542080\", alpha=\"0.20\", expect_size=\"36762624\"] \n  34 -> 37 [size =\"36762624\"]\n  34 -> 39 [size =\"36762624\"]\n  34 -> 40 [size =\"36762624\"]\n  35 [size=\"26272427\", alpha=\"0.06\", expect_size=\"7881728\"] \n  35 -> 41 [size =\"7881728\"]\n  35 -> 43 [size =\"7881728\"]\n  35 -> 44 [size =\"7881728\"]\n  36 [size=\"136932693\", alpha=\"0.20\", expect_size=\"41079808\"] \n  36 -> 41 [size =\"41079808\"]\n  36 -> 42 [size =\"41079808\"]\n  36 -> 44 [size =\"41079808\"]\n  37 [size=\"70232747\", alpha=\"0.02\", expect_size=\"21069824\"] \n  37 -> 42 [size =\"21069824\"]\n  38 [size=\"110554453\", alpha=\"0.02\", expect_size=\"33166336\"] \n  38 -> 41 [size =\"33166336\"]\n  38 -> 42 [size =\"33166336\"]\n  39 [size=\"166563840\", alpha=\"0.16\", expect_size=\"49969152\"] \n  39 -> 44 [size =\"49969152\"]\n  39 -> 45 [size =\"49969152\"]\n  40 [size=\"67082240\", alpha=\"0.01\", expect_size=\"20124672\"] \n  40 -> 41 [size =\"20124672\"]\n  40 -> 45 [size =\"20124672\"]\n  41 [size=\"101632000\", alpha=\"0.13\", expect_size=\"30489600\"] \n  42 [size=\"21046613\", alpha=\"0.07\", expect_size=\"6313984\"] \n  43 [size=\"122852693\", alpha=\"0.12\", expect_size=\"36855808\"] \n  44 [size=\"112797013\", alpha=\"0.01\", expect_size=\"33839104\"] \n  45 [size=\"109595307\", alpha=\"0.06\", expect_size=\"32878592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45583360\", alpha=\"0.03\", expect_size=\"18233344\"] \n  1 -> 31 [size =\"18233344\"]\n  1 -> 34 [size =\"18233344\"]\n  1 -> 38 [size =\"18233344\"]\n  1 -> 42 [size =\"18233344\"]\n  1 -> 43 [size =\"18233344\"]\n  2 [size=\"88581120\", alpha=\"0.07\", expect_size=\"35432448\"] \n  2 -> 33 [size =\"35432448\"]\n  2 -> 34 [size =\"35432448\"]\n  2 -> 35 [size =\"35432448\"]\n  2 -> 38 [size =\"35432448\"]\n  2 -> 41 [size =\"35432448\"]\n  2 -> 42 [size =\"35432448\"]\n  2 -> 43 [size =\"35432448\"]\n  3 [size=\"22648320\", alpha=\"0.10\", expect_size=\"9059328\"] \n  3 -> 32 [size =\"9059328\"]\n  3 -> 33 [size =\"9059328\"]\n  3 -> 34 [size =\"9059328\"]\n  3 -> 35 [size =\"9059328\"]\n  3 -> 41 [size =\"9059328\"]\n  3 -> 42 [size =\"9059328\"]\n  3 -> 43 [size =\"9059328\"]\n  4 [size=\"126382080\", alpha=\"0.14\", expect_size=\"50552832\"] \n  4 -> 37 [size =\"50552832\"]\n  4 -> 41 [size =\"50552832\"]\n  4 -> 42 [size =\"50552832\"]\n  4 -> 43 [size =\"50552832\"]\n  5 [size=\"118466560\", alpha=\"0.10\", expect_size=\"47386624\"] \n  5 -> 35 [size =\"47386624\"]\n  5 -> 37 [size =\"47386624\"]\n  5 -> 40 [size =\"47386624\"]\n  5 -> 42 [size =\"47386624\"]\n  5 -> 43 [size =\"47386624\"]\n  6 [size=\"130247680\", alpha=\"0.19\", expect_size=\"52099072\"] \n  6 -> 32 [size =\"52099072\"]\n  6 -> 35 [size =\"52099072\"]\n  6 -> 37 [size =\"52099072\"]\n  6 -> 39 [size =\"52099072\"]\n  6 -> 42 [size =\"52099072\"]\n  6 -> 43 [size =\"52099072\"]\n  7 [size=\"72225280\", alpha=\"0.03\", expect_size=\"28890112\"] \n  7 -> 34 [size =\"28890112\"]\n  7 -> 35 [size =\"28890112\"]\n  7 -> 40 [size =\"28890112\"]\n  7 -> 41 [size =\"28890112\"]\n  7 -> 42 [size =\"28890112\"]\n  7 -> 43 [size =\"28890112\"]\n  8 [size=\"18360320\", alpha=\"0.15\", expect_size=\"7344128\"] \n  8 -> 33 [size =\"7344128\"]\n  8 -> 35 [size =\"7344128\"]\n  8 -> 40 [size =\"7344128\"]\n  8 -> 41 [size =\"7344128\"]\n  8 -> 42 [size =\"7344128\"]\n  8 -> 43 [size =\"7344128\"]\n  9 [size=\"108444160\", alpha=\"0.04\", expect_size=\"43377664\"] \n  9 -> 33 [size =\"43377664\"]\n  9 -> 34 [size =\"43377664\"]\n  9 -> 35 [size =\"43377664\"]\n  9 -> 38 [size =\"43377664\"]\n  9 -> 40 [size =\"43377664\"]\n  9 -> 41 [size =\"43377664\"]\n  9 -> 43 [size =\"43377664\"]\n  10 [size=\"106439680\", alpha=\"0.16\", expect_size=\"42575872\"] \n  10 -> 31 [size =\"42575872\"]\n  10 -> 33 [size =\"42575872\"]\n  10 -> 34 [size =\"42575872\"]\n  10 -> 39 [size =\"42575872\"]\n  10 -> 40 [size =\"42575872\"]\n  10 -> 41 [size =\"42575872\"]\n  10 -> 42 [size =\"42575872\"]\n  10 -> 43 [size =\"42575872\"]\n  10 -> 45 [size =\"42575872\"]\n  11 [size=\"43932160\", alpha=\"0.09\", expect_size=\"17572864\"] \n  11 -> 33 [size =\"17572864\"]\n  11 -> 33 [size =\"17572864\"]\n  11 -> 39 [size =\"17572864\"]\n  11 -> 40 [size =\"17572864\"]\n  11 -> 40 [size =\"17572864\"]\n  11 -> 43 [size =\"17572864\"]\n  12 [size=\"62799360\", alpha=\"0.15\", expect_size=\"25119744\"] \n  12 -> 33 [size =\"25119744\"]\n  12 -> 35 [size =\"25119744\"]\n  12 -> 37 [size =\"25119744\"]\n  12 -> 40 [size =\"25119744\"]\n  12 -> 41 [size =\"25119744\"]\n  12 -> 42 [size =\"25119744\"]\n  12 -> 43 [size =\"25119744\"]\n  13 [size=\"104376320\", alpha=\"0.15\", expect_size=\"41750528\"] \n  13 -> 35 [size =\"41750528\"]\n  13 -> 40 [size =\"41750528\"]\n  13 -> 42 [size =\"41750528\"]\n  13 -> 43 [size =\"41750528\"]\n  14 [size=\"47203840\", alpha=\"0.13\", expect_size=\"18881536\"] \n  14 -> 34 [size =\"18881536\"]\n  14 -> 37 [size =\"18881536\"]\n  14 -> 40 [size =\"18881536\"]\n  14 -> 42 [size =\"18881536\"]\n  14 -> 43 [size =\"18881536\"]\n  15 [size=\"14174720\", alpha=\"0.15\", expect_size=\"5669888\"] \n  15 -> 34 [size =\"5669888\"]\n  15 -> 35 [size =\"5669888\"]\n  15 -> 36 [size =\"5669888\"]\n  15 -> 37 [size =\"5669888\"]\n  15 -> 40 [size =\"5669888\"]\n  15 -> 41 [size =\"5669888\"]\n  15 -> 42 [size =\"5669888\"]\n  15 -> 43 [size =\"5669888\"]\n  16 [size=\"71191040\", alpha=\"0.00\", expect_size=\"28476416\"] \n  16 -> 33 [size =\"28476416\"]\n  16 -> 34 [size =\"28476416\"]\n  16 -> 40 [size =\"28476416\"]\n  16 -> 41 [size =\"28476416\"]\n  16 -> 42 [size =\"28476416\"]\n  16 -> 43 [size =\"28476416\"]\n  17 [size=\"64378880\", alpha=\"0.13\", expect_size=\"25751552\"] \n  17 -> 33 [size =\"25751552\"]\n  17 -> 34 [size =\"25751552\"]\n  17 -> 40 [size =\"25751552\"]\n  17 -> 41 [size =\"25751552\"]\n  17 -> 42 [size =\"25751552\"]\n  18 [size=\"82869760\", alpha=\"0.08\", expect_size=\"33147904\"] \n  18 -> 40 [size =\"33147904\"]\n  18 -> 41 [size =\"33147904\"]\n  18 -> 42 [size =\"33147904\"]\n  18 -> 43 [size =\"33147904\"]\n  19 [size=\"52728320\", alpha=\"0.12\", expect_size=\"21091328\"] \n  19 -> 32 [size =\"21091328\"]\n  19 -> 33 [size =\"21091328\"]\n  19 -> 35 [size =\"21091328\"]\n  19 -> 37 [size =\"21091328\"]\n  19 -> 38 [size =\"21091328\"]\n  19 -> 40 [size =\"21091328\"]\n  19 -> 41 [size =\"21091328\"]\n  19 -> 42 [size =\"21091328\"]\n  20 [size=\"76328960\", alpha=\"0.13\", expect_size=\"30531584\"] \n  20 -> 32 [size =\"30531584\"]\n  20 -> 33 [size =\"30531584\"]\n  20 -> 34 [size =\"30531584\"]\n  20 -> 35 [size =\"30531584\"]\n  20 -> 37 [size =\"30531584\"]\n  20 -> 38 [size =\"30531584\"]\n  20 -> 40 [size =\"30531584\"]\n  20 -> 41 [size =\"30531584\"]\n  20 -> 42 [size =\"30531584\"]\n  21 [size=\"54766080\", alpha=\"0.20\", expect_size=\"21906432\"] \n  21 -> 32 [size =\"21906432\"]\n  21 -> 33 [size =\"21906432\"]\n  21 -> 34 [size =\"21906432\"]\n  21 -> 35 [size =\"21906432\"]\n  21 -> 39 [size =\"21906432\"]\n  21 -> 40 [size =\"21906432\"]\n  21 -> 41 [size =\"21906432\"]\n  21 -> 41 [size =\"21906432\"]\n  21 -> 42 [size =\"21906432\"]\n  22 [size=\"110755840\", alpha=\"0.20\", expect_size=\"44302336\"] \n  22 -> 32 [size =\"44302336\"]\n  22 -> 33 [size =\"44302336\"]\n  22 -> 34 [size =\"44302336\"]\n  22 -> 40 [size =\"44302336\"]\n  22 -> 41 [size =\"44302336\"]\n  22 -> 42 [size =\"44302336\"]\n  22 -> 44 [size =\"44302336\"]\n  23 [size=\"78958080\", alpha=\"0.01\", expect_size=\"31583232\"] \n  23 -> 32 [size =\"31583232\"]\n  23 -> 33 [size =\"31583232\"]\n  23 -> 40 [size =\"31583232\"]\n  23 -> 42 [size =\"31583232\"]\n  24 [size=\"47183360\", alpha=\"0.02\", expect_size=\"18873344\"] \n  24 -> 32 [size =\"18873344\"]\n  24 -> 33 [size =\"18873344\"]\n  24 -> 34 [size =\"18873344\"]\n  24 -> 40 [size =\"18873344\"]\n  24 -> 42 [size =\"18873344\"]\n  24 -> 43 [size =\"18873344\"]\n  25 [size=\"126044160\", alpha=\"0.00\", expect_size=\"50417664\"] \n  25 -> 33 [size =\"50417664\"]\n  25 -> 35 [size =\"50417664\"]\n  25 -> 40 [size =\"50417664\"]\n  25 -> 42 [size =\"50417664\"]\n  25 -> 42 [size =\"50417664\"]\n  25 -> 43 [size =\"50417664\"]\n  26 [size=\"94407680\", alpha=\"0.18\", expect_size=\"37763072\"] \n  26 -> 37 [size =\"37763072\"]\n  26 -> 39 [size =\"37763072\"]\n  26 -> 41 [size =\"37763072\"]\n  26 -> 43 [size =\"37763072\"]\n  27 [size=\"95713280\", alpha=\"0.07\", expect_size=\"38285312\"] \n  27 -> 39 [size =\"38285312\"]\n  27 -> 43 [size =\"38285312\"]\n  28 [size=\"56002560\", alpha=\"0.16\", expect_size=\"22401024\"] \n  28 -> 32 [size =\"22401024\"]\n  28 -> 33 [size =\"22401024\"]\n  28 -> 34 [size =\"22401024\"]\n  28 -> 39 [size =\"22401024\"]\n  28 -> 42 [size =\"22401024\"]\n  29 [size=\"100569600\", alpha=\"0.01\", expect_size=\"40227840\"] \n  29 -> 32 [size =\"40227840\"]\n  29 -> 35 [size =\"40227840\"]\n  29 -> 39 [size =\"40227840\"]\n  29 -> 42 [size =\"40227840\"]\n  30 [size=\"50880000\", alpha=\"0.02\", expect_size=\"20352000\"] \n  30 -> 32 [size =\"20352000\"]\n  30 -> 33 [size =\"20352000\"]\n  30 -> 43 [size =\"20352000\"]\n  31 [size=\"127592960\", alpha=\"0.09\", expect_size=\"51037184\"] \n  32 [size=\"127260160\", alpha=\"0.04\", expect_size=\"50904064\"] \n  33 [size=\"125352960\", alpha=\"0.14\", expect_size=\"50141184\"] \n  34 [size=\"13450240\", alpha=\"0.10\", expect_size=\"5380096\"] \n  35 [size=\"22791680\", alpha=\"0.06\", expect_size=\"9116672\"] \n  36 [size=\"22809600\", alpha=\"0.12\", expect_size=\"9123840\"] \n  37 [size=\"130641920\", alpha=\"0.07\", expect_size=\"52256768\"] \n  38 [size=\"51517440\", alpha=\"0.14\", expect_size=\"20606976\"] \n  39 [size=\"26621440\", alpha=\"0.07\", expect_size=\"10648576\"] \n  40 [size=\"33323520\", alpha=\"0.11\", expect_size=\"13329408\"] \n  41 [size=\"46993920\", alpha=\"0.02\", expect_size=\"18797568\"] \n  42 [size=\"98460160\", alpha=\"0.10\", expect_size=\"39384064\"] \n  43 [size=\"119447040\", alpha=\"0.09\", expect_size=\"47778816\"] \n  44 [size=\"83266560\", alpha=\"0.14\", expect_size=\"33306624\"] \n  45 [size=\"24015360\", alpha=\"0.17\", expect_size=\"9606144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103603200\", alpha=\"0.01\", expect_size=\"41441280\"] \n  1 -> 2 [size =\"41441280\"]\n  2 [size=\"98613760\", alpha=\"0.08\", expect_size=\"39445504\"] \n  2 -> 3 [size =\"39445504\"]\n  3 [size=\"78848000\", alpha=\"0.07\", expect_size=\"31539200\"] \n  3 -> 4 [size =\"31539200\"]\n  4 [size=\"111380480\", alpha=\"0.16\", expect_size=\"44552192\"] \n  4 -> 5 [size =\"44552192\"]\n  5 [size=\"17031680\", alpha=\"0.10\", expect_size=\"6812672\"] \n  5 -> 6 [size =\"6812672\"]\n  6 [size=\"77713920\", alpha=\"0.12\", expect_size=\"31085568\"] \n  6 -> 7 [size =\"31085568\"]\n  7 [size=\"116257280\", alpha=\"0.01\", expect_size=\"46502912\"] \n  7 -> 8 [size =\"46502912\"]\n  8 [size=\"71011840\", alpha=\"0.19\", expect_size=\"28404736\"] \n  8 -> 9 [size =\"28404736\"]\n  9 [size=\"103168000\", alpha=\"0.12\", expect_size=\"41267200\"] \n  9 -> 10 [size =\"41267200\"]\n  10 [size=\"74449920\", alpha=\"0.14\", expect_size=\"29779968\"] \n  10 -> 11 [size =\"29779968\"]\n  11 [size=\"25446400\", alpha=\"0.19\", expect_size=\"10178560\"] \n  11 -> 12 [size =\"10178560\"]\n  12 [size=\"32245760\", alpha=\"0.07\", expect_size=\"12898304\"] \n  12 -> 13 [size =\"12898304\"]\n  13 [size=\"77596160\", alpha=\"0.12\", expect_size=\"31038464\"] \n  13 -> 14 [size =\"31038464\"]\n  14 [size=\"119651840\", alpha=\"0.13\", expect_size=\"47860736\"] \n  14 -> 15 [size =\"47860736\"]\n  15 [size=\"98700800\", alpha=\"0.10\", expect_size=\"39480320\"] \n  15 -> 16 [size =\"39480320\"]\n  16 [size=\"41459200\", alpha=\"0.13\", expect_size=\"16583680\"] \n  16 -> 17 [size =\"16583680\"]\n  17 [size=\"109780480\", alpha=\"0.17\", expect_size=\"43912192\"] \n  17 -> 18 [size =\"43912192\"]\n  18 [size=\"115100160\", alpha=\"0.17\", expect_size=\"46040064\"] \n  18 -> 19 [size =\"46040064\"]\n  19 [size=\"107038720\", alpha=\"0.14\", expect_size=\"42815488\"] \n  19 -> 20 [size =\"42815488\"]\n  20 [size=\"59110400\", alpha=\"0.15\", expect_size=\"23644160\"] \n  20 -> 21 [size =\"23644160\"]\n  21 [size=\"21132800\", alpha=\"0.12\", expect_size=\"8453120\"] \n  21 -> 22 [size =\"8453120\"]\n  22 [size=\"16903680\", alpha=\"0.03\", expect_size=\"6761472\"] \n  22 -> 23 [size =\"6761472\"]\n  23 [size=\"57359360\", alpha=\"0.06\", expect_size=\"22943744\"] \n  23 -> 24 [size =\"22943744\"]\n  24 [size=\"130165760\", alpha=\"0.05\", expect_size=\"52066304\"] \n  24 -> 25 [size =\"52066304\"]\n  25 [size=\"86604800\", alpha=\"0.05\", expect_size=\"34641920\"] \n  25 -> 26 [size =\"34641920\"]\n  26 [size=\"29268480\", alpha=\"0.15\", expect_size=\"11707392\"] \n  26 -> 27 [size =\"11707392\"]\n  27 [size=\"106344960\", alpha=\"0.03\", expect_size=\"42537984\"] \n  27 -> 28 [size =\"42537984\"]\n  28 [size=\"85992960\", alpha=\"0.01\", expect_size=\"34397184\"] \n  28 -> 29 [size =\"34397184\"]\n  29 [size=\"66001920\", alpha=\"0.15\", expect_size=\"26400768\"] \n  29 -> 30 [size =\"26400768\"]\n  30 [size=\"29281280\", alpha=\"0.18\", expect_size=\"11712512\"] \n  30 -> 31 [size =\"11712512\"]\n  31 [size=\"119034880\", alpha=\"0.04\", expect_size=\"47613952\"] \n  31 -> 32 [size =\"47613952\"]\n  32 [size=\"71866880\", alpha=\"0.13\", expect_size=\"28746752\"] \n  32 -> 33 [size =\"28746752\"]\n  33 [size=\"91251200\", alpha=\"0.13\", expect_size=\"36500480\"] \n  33 -> 34 [size =\"36500480\"]\n  34 [size=\"124963840\", alpha=\"0.11\", expect_size=\"49985536\"] \n  34 -> 35 [size =\"49985536\"]\n  35 [size=\"35353600\", alpha=\"0.04\", expect_size=\"14141440\"] \n  35 -> 36 [size =\"14141440\"]\n  36 [size=\"62277120\", alpha=\"0.01\", expect_size=\"24910848\"] \n  36 -> 37 [size =\"24910848\"]\n  37 [size=\"34406400\", alpha=\"0.15\", expect_size=\"13762560\"] \n  37 -> 38 [size =\"13762560\"]\n  38 [size=\"54896640\", alpha=\"0.06\", expect_size=\"21958656\"] \n  38 -> 39 [size =\"21958656\"]\n  39 [size=\"63687680\", alpha=\"0.13\", expect_size=\"25475072\"] \n  39 -> 40 [size =\"25475072\"]\n  40 [size=\"32878080\", alpha=\"0.08\", expect_size=\"13151232\"] \n  40 -> 41 [size =\"13151232\"]\n  41 [size=\"23810560\", alpha=\"0.04\", expect_size=\"9524224\"] \n  41 -> 42 [size =\"9524224\"]\n  42 [size=\"48824320\", alpha=\"0.00\", expect_size=\"19529728\"] \n  42 -> 43 [size =\"19529728\"]\n  43 [size=\"127060480\", alpha=\"0.05\", expect_size=\"50824192\"] \n  43 -> 44 [size =\"50824192\"]\n  44 [size=\"87080960\", alpha=\"0.09\", expect_size=\"34832384\"] \n  44 -> 45 [size =\"34832384\"]\n  45 [size=\"35430400\", alpha=\"0.05\", expect_size=\"14172160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20162560\", alpha=\"0.18\", expect_size=\"10081280\"] \n  1 -> 32 [size =\"10081280\"]\n  1 -> 45 [size =\"10081280\"]\n  2 [size=\"22661120\", alpha=\"0.09\", expect_size=\"11330560\"] \n  2 -> 32 [size =\"11330560\"]\n  2 -> 33 [size =\"11330560\"]\n  2 -> 35 [size =\"11330560\"]\n  2 -> 36 [size =\"11330560\"]\n  2 -> 37 [size =\"11330560\"]\n  2 -> 40 [size =\"11330560\"]\n  2 -> 44 [size =\"11330560\"]\n  3 [size=\"45457408\", alpha=\"0.11\", expect_size=\"22728704\"] \n  3 -> 32 [size =\"22728704\"]\n  3 -> 36 [size =\"22728704\"]\n  3 -> 37 [size =\"22728704\"]\n  3 -> 45 [size =\"22728704\"]\n  4 [size=\"90128384\", alpha=\"0.13\", expect_size=\"45064192\"] \n  4 -> 32 [size =\"45064192\"]\n  4 -> 33 [size =\"45064192\"]\n  4 -> 34 [size =\"45064192\"]\n  4 -> 37 [size =\"45064192\"]\n  4 -> 39 [size =\"45064192\"]\n  4 -> 40 [size =\"45064192\"]\n  4 -> 42 [size =\"45064192\"]\n  4 -> 43 [size =\"45064192\"]\n  5 [size=\"59461632\", alpha=\"0.02\", expect_size=\"29730816\"] \n  5 -> 31 [size =\"29730816\"]\n  5 -> 32 [size =\"29730816\"]\n  5 -> 33 [size =\"29730816\"]\n  5 -> 40 [size =\"29730816\"]\n  5 -> 42 [size =\"29730816\"]\n  5 -> 43 [size =\"29730816\"]\n  6 [size=\"63569920\", alpha=\"0.06\", expect_size=\"31784960\"] \n  6 -> 32 [size =\"31784960\"]\n  6 -> 33 [size =\"31784960\"]\n  6 -> 40 [size =\"31784960\"]\n  6 -> 43 [size =\"31784960\"]\n  6 -> 44 [size =\"31784960\"]\n  7 [size=\"84979712\", alpha=\"0.04\", expect_size=\"42489856\"] \n  7 -> 37 [size =\"42489856\"]\n  7 -> 40 [size =\"42489856\"]\n  7 -> 42 [size =\"42489856\"]\n  7 -> 43 [size =\"42489856\"]\n  8 [size=\"60456960\", alpha=\"0.07\", expect_size=\"30228480\"] \n  8 -> 32 [size =\"30228480\"]\n  8 -> 33 [size =\"30228480\"]\n  8 -> 34 [size =\"30228480\"]\n  8 -> 37 [size =\"30228480\"]\n  8 -> 40 [size =\"30228480\"]\n  8 -> 41 [size =\"30228480\"]\n  8 -> 43 [size =\"30228480\"]\n  8 -> 44 [size =\"30228480\"]\n  9 [size=\"103997440\", alpha=\"0.06\", expect_size=\"51998720\"] \n  9 -> 32 [size =\"51998720\"]\n  9 -> 34 [size =\"51998720\"]\n  9 -> 39 [size =\"51998720\"]\n  9 -> 44 [size =\"51998720\"]\n  9 -> 45 [size =\"51998720\"]\n  10 [size=\"98783232\", alpha=\"0.16\", expect_size=\"49391616\"] \n  10 -> 31 [size =\"49391616\"]\n  10 -> 32 [size =\"49391616\"]\n  10 -> 38 [size =\"49391616\"]\n  11 [size=\"79726592\", alpha=\"0.03\", expect_size=\"39863296\"] \n  11 -> 32 [size =\"39863296\"]\n  11 -> 44 [size =\"39863296\"]\n  12 [size=\"70539264\", alpha=\"0.15\", expect_size=\"35269632\"] \n  12 -> 31 [size =\"35269632\"]\n  12 -> 39 [size =\"35269632\"]\n  12 -> 40 [size =\"35269632\"]\n  13 [size=\"17391616\", alpha=\"0.01\", expect_size=\"8695808\"] \n  13 -> 34 [size =\"8695808\"]\n  13 -> 37 [size =\"8695808\"]\n  14 [size=\"69621760\", alpha=\"0.08\", expect_size=\"34810880\"] \n  14 -> 32 [size =\"34810880\"]\n  14 -> 34 [size =\"34810880\"]\n  14 -> 42 [size =\"34810880\"]\n  15 [size=\"36972544\", alpha=\"0.17\", expect_size=\"18486272\"] \n  15 -> 33 [size =\"18486272\"]\n  15 -> 34 [size =\"18486272\"]\n  15 -> 35 [size =\"18486272\"]\n  15 -> 39 [size =\"18486272\"]\n  15 -> 41 [size =\"18486272\"]\n  15 -> 44 [size =\"18486272\"]\n  16 [size=\"44638208\", alpha=\"0.03\", expect_size=\"22319104\"] \n  16 -> 33 [size =\"22319104\"]\n  16 -> 37 [size =\"22319104\"]\n  16 -> 42 [size =\"22319104\"]\n  16 -> 44 [size =\"22319104\"]\n  17 [size=\"74864640\", alpha=\"0.18\", expect_size=\"37432320\"] \n  17 -> 35 [size =\"37432320\"]\n  17 -> 37 [size =\"37432320\"]\n  17 -> 40 [size =\"37432320\"]\n  17 -> 44 [size =\"37432320\"]\n  17 -> 45 [size =\"37432320\"]\n  18 [size=\"95258624\", alpha=\"0.01\", expect_size=\"47629312\"] \n  18 -> 32 [size =\"47629312\"]\n  18 -> 33 [size =\"47629312\"]\n  18 -> 39 [size =\"47629312\"]\n  18 -> 45 [size =\"47629312\"]\n  19 [size=\"36231168\", alpha=\"0.12\", expect_size=\"18115584\"] \n  19 -> 34 [size =\"18115584\"]\n  19 -> 35 [size =\"18115584\"]\n  19 -> 43 [size =\"18115584\"]\n  19 -> 45 [size =\"18115584\"]\n  20 [size=\"63315968\", alpha=\"0.12\", expect_size=\"31657984\"] \n  20 -> 36 [size =\"31657984\"]\n  20 -> 37 [size =\"31657984\"]\n  20 -> 43 [size =\"31657984\"]\n  20 -> 45 [size =\"31657984\"]\n  21 [size=\"46067712\", alpha=\"0.14\", expect_size=\"23033856\"] \n  21 -> 31 [size =\"23033856\"]\n  21 -> 34 [size =\"23033856\"]\n  21 -> 36 [size =\"23033856\"]\n  22 [size=\"60108800\", alpha=\"0.19\", expect_size=\"30054400\"] \n  22 -> 31 [size =\"30054400\"]\n  22 -> 33 [size =\"30054400\"]\n  22 -> 36 [size =\"30054400\"]\n  22 -> 43 [size =\"30054400\"]\n  22 -> 44 [size =\"30054400\"]\n  23 [size=\"36212736\", alpha=\"0.11\", expect_size=\"18106368\"] \n  23 -> 37 [size =\"18106368\"]\n  23 -> 45 [size =\"18106368\"]\n  24 [size=\"40341504\", alpha=\"0.20\", expect_size=\"20170752\"] \n  24 -> 33 [size =\"20170752\"]\n  24 -> 38 [size =\"20170752\"]\n  25 [size=\"77144064\", alpha=\"0.19\", expect_size=\"38572032\"] \n  25 -> 33 [size =\"38572032\"]\n  25 -> 38 [size =\"38572032\"]\n  25 -> 42 [size =\"38572032\"]\n  25 -> 43 [size =\"38572032\"]\n  25 -> 44 [size =\"38572032\"]\n  25 -> 45 [size =\"38572032\"]\n  26 [size=\"64747520\", alpha=\"0.10\", expect_size=\"32373760\"] \n  26 -> 31 [size =\"32373760\"]\n  26 -> 33 [size =\"32373760\"]\n  26 -> 43 [size =\"32373760\"]\n  26 -> 44 [size =\"32373760\"]\n  26 -> 45 [size =\"32373760\"]\n  27 [size=\"78309376\", alpha=\"0.16\", expect_size=\"39154688\"] \n  27 -> 37 [size =\"39154688\"]\n  27 -> 40 [size =\"39154688\"]\n  28 [size=\"68126720\", alpha=\"0.13\", expect_size=\"34063360\"] \n  28 -> 45 [size =\"34063360\"]\n  29 [size=\"72073216\", alpha=\"0.10\", expect_size=\"36036608\"] \n  29 -> 36 [size =\"36036608\"]\n  29 -> 38 [size =\"36036608\"]\n  29 -> 40 [size =\"36036608\"]\n  29 -> 42 [size =\"36036608\"]\n  29 -> 43 [size =\"36036608\"]\n  29 -> 44 [size =\"36036608\"]\n  30 [size=\"36540416\", alpha=\"0.05\", expect_size=\"18270208\"] \n  30 -> 32 [size =\"18270208\"]\n  30 -> 34 [size =\"18270208\"]\n  30 -> 38 [size =\"18270208\"]\n  31 [size=\"95238144\", alpha=\"0.15\", expect_size=\"47619072\"] \n  32 [size=\"69103616\", alpha=\"0.18\", expect_size=\"34551808\"] \n  33 [size=\"64681984\", alpha=\"0.02\", expect_size=\"32340992\"] \n  34 [size=\"22575104\", alpha=\"0.19\", expect_size=\"11287552\"] \n  35 [size=\"22423552\", alpha=\"0.02\", expect_size=\"11211776\"] \n  36 [size=\"18837504\", alpha=\"0.11\", expect_size=\"9418752\"] \n  37 [size=\"64894976\", alpha=\"0.15\", expect_size=\"32447488\"] \n  38 [size=\"46354432\", alpha=\"0.16\", expect_size=\"23177216\"] \n  39 [size=\"13182976\", alpha=\"0.03\", expect_size=\"6591488\"] \n  40 [size=\"58896384\", alpha=\"0.01\", expect_size=\"29448192\"] \n  41 [size=\"83050496\", alpha=\"0.06\", expect_size=\"41525248\"] \n  42 [size=\"60516352\", alpha=\"0.02\", expect_size=\"30258176\"] \n  43 [size=\"51347456\", alpha=\"0.04\", expect_size=\"25673728\"] \n  44 [size=\"62449664\", alpha=\"0.11\", expect_size=\"31224832\"] \n  45 [size=\"58591232\", alpha=\"0.13\", expect_size=\"29295616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24832000\", alpha=\"0.19\", expect_size=\"12416000\"] \n  1 -> 4 [size =\"12416000\"]\n  2 [size=\"43147264\", alpha=\"0.05\", expect_size=\"21573632\"] \n  2 -> 3 [size =\"21573632\"]\n  3 [size=\"66791424\", alpha=\"0.08\", expect_size=\"33395712\"] \n  4 [size=\"53770240\", alpha=\"0.01\", expect_size=\"26885120\"] \n  4 -> 5 [size =\"26885120\"]\n  4 -> 6 [size =\"26885120\"]\n  4 -> 7 [size =\"26885120\"]\n  5 [size=\"77916160\", alpha=\"0.03\", expect_size=\"38958080\"] \n  5 -> 8 [size =\"38958080\"]\n  6 [size=\"50118656\", alpha=\"0.09\", expect_size=\"25059328\"] \n  6 -> 8 [size =\"25059328\"]\n  6 -> 9 [size =\"25059328\"]\n  6 -> 10 [size =\"25059328\"]\n  7 [size=\"103710720\", alpha=\"0.09\", expect_size=\"51855360\"] \n  7 -> 10 [size =\"51855360\"]\n  8 [size=\"54474752\", alpha=\"0.01\", expect_size=\"27237376\"] \n  8 -> 11 [size =\"27237376\"]\n  8 -> 12 [size =\"27237376\"]\n  9 [size=\"22753280\", alpha=\"0.06\", expect_size=\"11376640\"] \n  10 [size=\"22523904\", alpha=\"0.14\", expect_size=\"11261952\"] \n  10 -> 11 [size =\"11261952\"]\n  10 -> 12 [size =\"11261952\"]\n  11 [size=\"30588928\", alpha=\"0.17\", expect_size=\"15294464\"] \n  11 -> 13 [size =\"15294464\"]\n  11 -> 14 [size =\"15294464\"]\n  11 -> 15 [size =\"15294464\"]\n  12 [size=\"23730176\", alpha=\"0.19\", expect_size=\"11865088\"] \n  12 -> 14 [size =\"11865088\"]\n  13 [size=\"48592896\", alpha=\"0.15\", expect_size=\"24296448\"] \n  13 -> 16 [size =\"24296448\"]\n  14 [size=\"86360064\", alpha=\"0.04\", expect_size=\"43180032\"] \n  14 -> 17 [size =\"43180032\"]\n  14 -> 18 [size =\"43180032\"]\n  15 [size=\"91140096\", alpha=\"0.18\", expect_size=\"45570048\"] \n  15 -> 16 [size =\"45570048\"]\n  15 -> 18 [size =\"45570048\"]\n  16 [size=\"12980224\", alpha=\"0.12\", expect_size=\"6490112\"] \n  17 [size=\"54376448\", alpha=\"0.01\", expect_size=\"27188224\"] \n  17 -> 19 [size =\"27188224\"]\n  17 -> 20 [size =\"27188224\"]\n  18 [size=\"97855488\", alpha=\"0.10\", expect_size=\"48927744\"] \n  19 [size=\"100419584\", alpha=\"0.12\", expect_size=\"50209792\"] \n  19 -> 21 [size =\"50209792\"]\n  19 -> 22 [size =\"50209792\"]\n  20 [size=\"32231424\", alpha=\"0.01\", expect_size=\"16115712\"] \n  20 -> 21 [size =\"16115712\"]\n  20 -> 22 [size =\"16115712\"]\n  21 [size=\"99510272\", alpha=\"0.13\", expect_size=\"49755136\"] \n  21 -> 25 [size =\"49755136\"]\n  22 [size=\"84971520\", alpha=\"0.13\", expect_size=\"42485760\"] \n  22 -> 23 [size =\"42485760\"]\n  22 -> 24 [size =\"42485760\"]\n  23 [size=\"80664576\", alpha=\"0.04\", expect_size=\"40332288\"] \n  23 -> 26 [size =\"40332288\"]\n  23 -> 27 [size =\"40332288\"]\n  23 -> 28 [size =\"40332288\"]\n  24 [size=\"59088896\", alpha=\"0.04\", expect_size=\"29544448\"] \n  24 -> 26 [size =\"29544448\"]\n  24 -> 27 [size =\"29544448\"]\n  24 -> 28 [size =\"29544448\"]\n  25 [size=\"80232448\", alpha=\"0.19\", expect_size=\"40116224\"] \n  26 [size=\"72652800\", alpha=\"0.02\", expect_size=\"36326400\"] \n  26 -> 29 [size =\"36326400\"]\n  27 [size=\"33251328\", alpha=\"0.05\", expect_size=\"16625664\"] \n  27 -> 30 [size =\"16625664\"]\n  27 -> 31 [size =\"16625664\"]\n  28 [size=\"38907904\", alpha=\"0.17\", expect_size=\"19453952\"] \n  28 -> 30 [size =\"19453952\"]\n  28 -> 31 [size =\"19453952\"]\n  29 [size=\"85854208\", alpha=\"0.12\", expect_size=\"42927104\"] \n  29 -> 34 [size =\"42927104\"]\n  30 [size=\"45893632\", alpha=\"0.10\", expect_size=\"22946816\"] \n  30 -> 32 [size =\"22946816\"]\n  30 -> 33 [size =\"22946816\"]\n  31 [size=\"50176000\", alpha=\"0.11\", expect_size=\"25088000\"] \n  31 -> 32 [size =\"25088000\"]\n  31 -> 33 [size =\"25088000\"]\n  32 [size=\"18671616\", alpha=\"0.16\", expect_size=\"9335808\"] \n  33 [size=\"78415872\", alpha=\"0.08\", expect_size=\"39207936\"] \n  33 -> 36 [size =\"39207936\"]\n  34 [size=\"96976896\", alpha=\"0.17\", expect_size=\"48488448\"] \n  34 -> 35 [size =\"48488448\"]\n  34 -> 36 [size =\"48488448\"]\n  35 [size=\"23261184\", alpha=\"0.02\", expect_size=\"11630592\"] \n  35 -> 37 [size =\"11630592\"]\n  35 -> 38 [size =\"11630592\"]\n  36 [size=\"19077120\", alpha=\"0.09\", expect_size=\"9538560\"] \n  36 -> 37 [size =\"9538560\"]\n  36 -> 39 [size =\"9538560\"]\n  37 [size=\"29683712\", alpha=\"0.04\", expect_size=\"14841856\"] \n  37 -> 41 [size =\"14841856\"]\n  38 [size=\"53936128\", alpha=\"0.18\", expect_size=\"26968064\"] \n  38 -> 40 [size =\"26968064\"]\n  39 [size=\"41455616\", alpha=\"0.11\", expect_size=\"20727808\"] \n  40 [size=\"98877440\", alpha=\"0.09\", expect_size=\"49438720\"] \n  40 -> 42 [size =\"49438720\"]\n  41 [size=\"49502208\", alpha=\"0.05\", expect_size=\"24751104\"] \n  41 -> 42 [size =\"24751104\"]\n  41 -> 43 [size =\"24751104\"]\n  42 [size=\"102172672\", alpha=\"0.18\", expect_size=\"51086336\"] \n  42 -> 45 [size =\"51086336\"]\n  43 [size=\"81393664\", alpha=\"0.05\", expect_size=\"40696832\"] \n  43 -> 44 [size =\"40696832\"]\n  44 [size=\"25270272\", alpha=\"0.03\", expect_size=\"12635136\"] \n  45 [size=\"104048640\", alpha=\"0.15\", expect_size=\"52024320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66191360\", alpha=\"0.03\", expect_size=\"19857408\"] \n  1 -> 39 [size =\"19857408\"]\n  1 -> 42 [size =\"19857408\"]\n  1 -> 44 [size =\"19857408\"]\n  2 [size=\"97433600\", alpha=\"0.12\", expect_size=\"29230080\"] \n  2 -> 41 [size =\"29230080\"]\n  2 -> 42 [size =\"29230080\"]\n  2 -> 43 [size =\"29230080\"]\n  2 -> 44 [size =\"29230080\"]\n  3 [size=\"31303680\", alpha=\"0.02\", expect_size=\"9391104\"] \n  3 -> 39 [size =\"9391104\"]\n  3 -> 40 [size =\"9391104\"]\n  3 -> 41 [size =\"9391104\"]\n  3 -> 43 [size =\"9391104\"]\n  3 -> 44 [size =\"9391104\"]\n  4 [size=\"93934933\", alpha=\"0.17\", expect_size=\"28180480\"] \n  4 -> 40 [size =\"28180480\"]\n  4 -> 43 [size =\"28180480\"]\n  4 -> 44 [size =\"28180480\"]\n  5 [size=\"171461973\", alpha=\"0.16\", expect_size=\"51438592\"] \n  5 -> 39 [size =\"51438592\"]\n  5 -> 43 [size =\"51438592\"]\n  6 [size=\"35092480\", alpha=\"0.09\", expect_size=\"10527744\"] \n  6 -> 42 [size =\"10527744\"]\n  6 -> 43 [size =\"10527744\"]\n  6 -> 45 [size =\"10527744\"]\n  7 [size=\"107093333\", alpha=\"0.00\", expect_size=\"32128000\"] \n  7 -> 42 [size =\"32128000\"]\n  7 -> 43 [size =\"32128000\"]\n  8 [size=\"17967787\", alpha=\"0.05\", expect_size=\"5390336\"] \n  8 -> 39 [size =\"5390336\"]\n  8 -> 42 [size =\"5390336\"]\n  8 -> 43 [size =\"5390336\"]\n  9 [size=\"67300693\", alpha=\"0.03\", expect_size=\"20190208\"] \n  9 -> 42 [size =\"20190208\"]\n  9 -> 45 [size =\"20190208\"]\n  10 [size=\"123634347\", alpha=\"0.02\", expect_size=\"37090304\"] \n  10 -> 39 [size =\"37090304\"]\n  10 -> 41 [size =\"37090304\"]\n  11 [size=\"36621653\", alpha=\"0.14\", expect_size=\"10986496\"] \n  11 -> 40 [size =\"10986496\"]\n  12 [size=\"57746773\", alpha=\"0.15\", expect_size=\"17324032\"] \n  12 -> 40 [size =\"17324032\"]\n  12 -> 42 [size =\"17324032\"]\n  12 -> 44 [size =\"17324032\"]\n  13 [size=\"153914027\", alpha=\"0.17\", expect_size=\"46174208\"] \n  13 -> 42 [size =\"46174208\"]\n  13 -> 42 [size =\"46174208\"]\n  14 [size=\"167205547\", alpha=\"0.16\", expect_size=\"50161664\"] \n  14 -> 42 [size =\"50161664\"]\n  14 -> 45 [size =\"50161664\"]\n  15 [size=\"144049493\", alpha=\"0.02\", expect_size=\"43214848\"] \n  15 -> 42 [size =\"43214848\"]\n  15 -> 44 [size =\"43214848\"]\n  15 -> 45 [size =\"43214848\"]\n  16 [size=\"112186027\", alpha=\"0.03\", expect_size=\"33655808\"] \n  16 -> 42 [size =\"33655808\"]\n  16 -> 45 [size =\"33655808\"]\n  17 [size=\"26494293\", alpha=\"0.12\", expect_size=\"7948288\"] \n  17 -> 43 [size =\"7948288\"]\n  18 [size=\"28412587\", alpha=\"0.03\", expect_size=\"8523776\"] \n  18 -> 42 [size =\"8523776\"]\n  18 -> 44 [size =\"8523776\"]\n  19 [size=\"71403520\", alpha=\"0.20\", expect_size=\"21421056\"] \n  19 -> 40 [size =\"21421056\"]\n  19 -> 42 [size =\"21421056\"]\n  19 -> 44 [size =\"21421056\"]\n  20 [size=\"92613973\", alpha=\"0.19\", expect_size=\"27784192\"] \n  20 -> 44 [size =\"27784192\"]\n  20 -> 45 [size =\"27784192\"]\n  21 [size=\"107373227\", alpha=\"0.04\", expect_size=\"32211968\"] \n  21 -> 40 [size =\"32211968\"]\n  21 -> 42 [size =\"32211968\"]\n  21 -> 44 [size =\"32211968\"]\n  22 [size=\"60228267\", alpha=\"0.19\", expect_size=\"18068480\"] \n  23 [size=\"18670933\", alpha=\"0.16\", expect_size=\"5601280\"] \n  23 -> 40 [size =\"5601280\"]\n  24 [size=\"154528427\", alpha=\"0.03\", expect_size=\"46358528\"] \n  24 -> 41 [size =\"46358528\"]\n  25 [size=\"124054187\", alpha=\"0.09\", expect_size=\"37216256\"] \n  25 -> 43 [size =\"37216256\"]\n  26 [size=\"141841067\", alpha=\"0.17\", expect_size=\"42552320\"] \n  26 -> 39 [size =\"42552320\"]\n  26 -> 42 [size =\"42552320\"]\n  26 -> 45 [size =\"42552320\"]\n  27 [size=\"165294080\", alpha=\"0.17\", expect_size=\"49588224\"] \n  27 -> 42 [size =\"49588224\"]\n  27 -> 44 [size =\"49588224\"]\n  28 [size=\"102502400\", alpha=\"0.17\", expect_size=\"30750720\"] \n  28 -> 39 [size =\"30750720\"]\n  28 -> 42 [size =\"30750720\"]\n  29 [size=\"126593707\", alpha=\"0.04\", expect_size=\"37978112\"] \n  29 -> 43 [size =\"37978112\"]\n  29 -> 44 [size =\"37978112\"]\n  30 [size=\"126395733\", alpha=\"0.03\", expect_size=\"37918720\"] \n  30 -> 43 [size =\"37918720\"]\n  30 -> 44 [size =\"37918720\"]\n  30 -> 45 [size =\"37918720\"]\n  31 [size=\"117022720\", alpha=\"0.06\", expect_size=\"35106816\"] \n  31 -> 41 [size =\"35106816\"]\n  31 -> 43 [size =\"35106816\"]\n  31 -> 44 [size =\"35106816\"]\n  32 [size=\"147193173\", alpha=\"0.13\", expect_size=\"44157952\"] \n  32 -> 44 [size =\"44157952\"]\n  33 [size=\"139581440\", alpha=\"0.18\", expect_size=\"41874432\"] \n  33 -> 45 [size =\"41874432\"]\n  34 [size=\"108014933\", alpha=\"0.01\", expect_size=\"32404480\"] \n  34 -> 39 [size =\"32404480\"]\n  34 -> 40 [size =\"32404480\"]\n  34 -> 42 [size =\"32404480\"]\n  35 [size=\"128952320\", alpha=\"0.01\", expect_size=\"38685696\"] \n  35 -> 44 [size =\"38685696\"]\n  36 [size=\"41816747\", alpha=\"0.13\", expect_size=\"12545024\"] \n  36 -> 42 [size =\"12545024\"]\n  36 -> 43 [size =\"12545024\"]\n  36 -> 44 [size =\"12545024\"]\n  37 [size=\"21504000\", alpha=\"0.06\", expect_size=\"6451200\"] \n  37 -> 40 [size =\"6451200\"]\n  37 -> 42 [size =\"6451200\"]\n  37 -> 44 [size =\"6451200\"]\n  38 [size=\"157637973\", alpha=\"0.00\", expect_size=\"47291392\"] \n  38 -> 40 [size =\"47291392\"]\n  38 -> 43 [size =\"47291392\"]\n  38 -> 44 [size =\"47291392\"]\n  39 [size=\"136137387\", alpha=\"0.02\", expect_size=\"40841216\"] \n  40 [size=\"164109653\", alpha=\"0.13\", expect_size=\"49232896\"] \n  41 [size=\"33143467\", alpha=\"0.15\", expect_size=\"9943040\"] \n  42 [size=\"76957013\", alpha=\"0.03\", expect_size=\"23087104\"] \n  43 [size=\"21254827\", alpha=\"0.10\", expect_size=\"6376448\"] \n  44 [size=\"159761067\", alpha=\"0.16\", expect_size=\"47928320\"] \n  45 [size=\"170345813\", alpha=\"0.14\", expect_size=\"51103744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103692288\", alpha=\"0.20\", expect_size=\"51846144\"] \n  1 -> 2 [size =\"51846144\"]\n  2 [size=\"69320704\", alpha=\"0.15\", expect_size=\"34660352\"] \n  2 -> 3 [size =\"34660352\"]\n  3 [size=\"89040896\", alpha=\"0.13\", expect_size=\"44520448\"] \n  3 -> 4 [size =\"44520448\"]\n  4 [size=\"17217536\", alpha=\"0.18\", expect_size=\"8608768\"] \n  4 -> 5 [size =\"8608768\"]\n  5 [size=\"86005760\", alpha=\"0.14\", expect_size=\"43002880\"] \n  5 -> 6 [size =\"43002880\"]\n  6 [size=\"66578432\", alpha=\"0.04\", expect_size=\"33289216\"] \n  6 -> 7 [size =\"33289216\"]\n  7 [size=\"25608192\", alpha=\"0.19\", expect_size=\"12804096\"] \n  7 -> 8 [size =\"12804096\"]\n  8 [size=\"31924224\", alpha=\"0.09\", expect_size=\"15962112\"] \n  8 -> 9 [size =\"15962112\"]\n  9 [size=\"104302592\", alpha=\"0.15\", expect_size=\"52151296\"] \n  9 -> 10 [size =\"52151296\"]\n  10 [size=\"91922432\", alpha=\"0.15\", expect_size=\"45961216\"] \n  10 -> 11 [size =\"45961216\"]\n  11 [size=\"28073984\", alpha=\"0.01\", expect_size=\"14036992\"] \n  11 -> 12 [size =\"14036992\"]\n  12 [size=\"26396672\", alpha=\"0.04\", expect_size=\"13198336\"] \n  12 -> 13 [size =\"13198336\"]\n  13 [size=\"98029568\", alpha=\"0.19\", expect_size=\"49014784\"] \n  13 -> 14 [size =\"49014784\"]\n  14 [size=\"67328000\", alpha=\"0.04\", expect_size=\"33664000\"] \n  14 -> 15 [size =\"33664000\"]\n  15 [size=\"58281984\", alpha=\"0.03\", expect_size=\"29140992\"] \n  15 -> 16 [size =\"29140992\"]\n  16 [size=\"31971328\", alpha=\"0.06\", expect_size=\"15985664\"] \n  16 -> 17 [size =\"15985664\"]\n  17 [size=\"52117504\", alpha=\"0.10\", expect_size=\"26058752\"] \n  17 -> 18 [size =\"26058752\"]\n  18 [size=\"47558656\", alpha=\"0.15\", expect_size=\"23779328\"] \n  18 -> 19 [size =\"23779328\"]\n  19 [size=\"89696256\", alpha=\"0.15\", expect_size=\"44848128\"] \n  19 -> 20 [size =\"44848128\"]\n  20 [size=\"64909312\", alpha=\"0.14\", expect_size=\"32454656\"] \n  20 -> 21 [size =\"32454656\"]\n  21 [size=\"43362304\", alpha=\"0.14\", expect_size=\"21681152\"] \n  21 -> 22 [size =\"21681152\"]\n  22 [size=\"46184448\", alpha=\"0.06\", expect_size=\"23092224\"] \n  22 -> 23 [size =\"23092224\"]\n  23 [size=\"65800192\", alpha=\"0.15\", expect_size=\"32900096\"] \n  23 -> 24 [size =\"32900096\"]\n  24 [size=\"60364800\", alpha=\"0.05\", expect_size=\"30182400\"] \n  24 -> 25 [size =\"30182400\"]\n  25 [size=\"77731840\", alpha=\"0.12\", expect_size=\"38865920\"] \n  25 -> 26 [size =\"38865920\"]\n  26 [size=\"92495872\", alpha=\"0.10\", expect_size=\"46247936\"] \n  26 -> 27 [size =\"46247936\"]\n  27 [size=\"25987072\", alpha=\"0.11\", expect_size=\"12993536\"] \n  27 -> 28 [size =\"12993536\"]\n  28 [size=\"74436608\", alpha=\"0.17\", expect_size=\"37218304\"] \n  28 -> 29 [size =\"37218304\"]\n  29 [size=\"51650560\", alpha=\"0.03\", expect_size=\"25825280\"] \n  29 -> 30 [size =\"25825280\"]\n  30 [size=\"25860096\", alpha=\"0.06\", expect_size=\"12930048\"] \n  30 -> 31 [size =\"12930048\"]\n  31 [size=\"94214144\", alpha=\"0.13\", expect_size=\"47107072\"] \n  31 -> 32 [size =\"47107072\"]\n  32 [size=\"66807808\", alpha=\"0.03\", expect_size=\"33403904\"] \n  32 -> 33 [size =\"33403904\"]\n  33 [size=\"96847872\", alpha=\"0.11\", expect_size=\"48423936\"] \n  33 -> 34 [size =\"48423936\"]\n  34 [size=\"74147840\", alpha=\"0.12\", expect_size=\"37073920\"] \n  34 -> 35 [size =\"37073920\"]\n  35 [size=\"99809280\", alpha=\"0.03\", expect_size=\"49904640\"] \n  35 -> 36 [size =\"49904640\"]\n  36 [size=\"60610560\", alpha=\"0.18\", expect_size=\"30305280\"] \n  36 -> 37 [size =\"30305280\"]\n  37 [size=\"12646400\", alpha=\"0.03\", expect_size=\"6323200\"] \n  37 -> 38 [size =\"6323200\"]\n  38 [size=\"65413120\", alpha=\"0.15\", expect_size=\"32706560\"] \n  38 -> 39 [size =\"32706560\"]\n  39 [size=\"51605504\", alpha=\"0.04\", expect_size=\"25802752\"] \n  39 -> 40 [size =\"25802752\"]\n  40 [size=\"65042432\", alpha=\"0.04\", expect_size=\"32521216\"] \n  40 -> 41 [size =\"32521216\"]\n  41 [size=\"92788736\", alpha=\"0.11\", expect_size=\"46394368\"] \n  41 -> 42 [size =\"46394368\"]\n  42 [size=\"58064896\", alpha=\"0.06\", expect_size=\"29032448\"] \n  42 -> 43 [size =\"29032448\"]\n  43 [size=\"71153664\", alpha=\"0.13\", expect_size=\"35576832\"] \n  43 -> 44 [size =\"35576832\"]\n  44 [size=\"30855168\", alpha=\"0.10\", expect_size=\"15427584\"] \n  44 -> 45 [size =\"15427584\"]\n  45 [size=\"88387584\", alpha=\"0.02\", expect_size=\"44193792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39726080\", alpha=\"0.03\", expect_size=\"15890432\"] \n  1 -> 6 [size =\"15890432\"]\n  1 -> 8 [size =\"15890432\"]\n  1 -> 9 [size =\"15890432\"]\n  1 -> 11 [size =\"15890432\"]\n  2 [size=\"86103040\", alpha=\"0.14\", expect_size=\"34441216\"] \n  2 -> 9 [size =\"34441216\"]\n  2 -> 11 [size =\"34441216\"]\n  3 [size=\"62630400\", alpha=\"0.11\", expect_size=\"25052160\"] \n  3 -> 7 [size =\"25052160\"]\n  4 [size=\"67568640\", alpha=\"0.12\", expect_size=\"27027456\"] \n  4 -> 8 [size =\"27027456\"]\n  4 -> 9 [size =\"27027456\"]\n  4 -> 10 [size =\"27027456\"]\n  5 [size=\"81105920\", alpha=\"0.19\", expect_size=\"32442368\"] \n  5 -> 8 [size =\"32442368\"]\n  5 -> 10 [size =\"32442368\"]\n  5 -> 11 [size =\"32442368\"]\n  6 [size=\"25088000\", alpha=\"0.13\", expect_size=\"10035200\"] \n  7 [size=\"105863680\", alpha=\"0.16\", expect_size=\"42345472\"] \n  7 -> 14 [size =\"42345472\"]\n  7 -> 16 [size =\"42345472\"]\n  7 -> 17 [size =\"42345472\"]\n  8 [size=\"116177920\", alpha=\"0.05\", expect_size=\"46471168\"] \n  8 -> 12 [size =\"46471168\"]\n  8 -> 14 [size =\"46471168\"]\n  8 -> 15 [size =\"46471168\"]\n  8 -> 16 [size =\"46471168\"]\n  9 [size=\"97210880\", alpha=\"0.02\", expect_size=\"38884352\"] \n  9 -> 12 [size =\"38884352\"]\n  9 -> 13 [size =\"38884352\"]\n  9 -> 15 [size =\"38884352\"]\n  9 -> 16 [size =\"38884352\"]\n  10 [size=\"117693440\", alpha=\"0.13\", expect_size=\"47077376\"] \n  10 -> 12 [size =\"47077376\"]\n  10 -> 14 [size =\"47077376\"]\n  10 -> 15 [size =\"47077376\"]\n  11 [size=\"79700480\", alpha=\"0.18\", expect_size=\"31880192\"] \n  11 -> 12 [size =\"31880192\"]\n  11 -> 13 [size =\"31880192\"]\n  11 -> 15 [size =\"31880192\"]\n  11 -> 16 [size =\"31880192\"]\n  11 -> 17 [size =\"31880192\"]\n  12 [size=\"97681920\", alpha=\"0.03\", expect_size=\"39072768\"] \n  12 -> 21 [size =\"39072768\"]\n  12 -> 22 [size =\"39072768\"]\n  13 [size=\"64314880\", alpha=\"0.13\", expect_size=\"25725952\"] \n  13 -> 18 [size =\"25725952\"]\n  13 -> 20 [size =\"25725952\"]\n  13 -> 21 [size =\"25725952\"]\n  13 -> 22 [size =\"25725952\"]\n  13 -> 23 [size =\"25725952\"]\n  14 [size=\"13708800\", alpha=\"0.11\", expect_size=\"5483520\"] \n  14 -> 18 [size =\"5483520\"]\n  14 -> 20 [size =\"5483520\"]\n  14 -> 23 [size =\"5483520\"]\n  15 [size=\"83402240\", alpha=\"0.13\", expect_size=\"33360896\"] \n  15 -> 19 [size =\"33360896\"]\n  15 -> 23 [size =\"33360896\"]\n  16 [size=\"75745280\", alpha=\"0.16\", expect_size=\"30298112\"] \n  17 [size=\"32343040\", alpha=\"0.20\", expect_size=\"12937216\"] \n  17 -> 18 [size =\"12937216\"]\n  17 -> 20 [size =\"12937216\"]\n  17 -> 21 [size =\"12937216\"]\n  17 -> 23 [size =\"12937216\"]\n  18 [size=\"125120000\", alpha=\"0.15\", expect_size=\"50048000\"] \n  18 -> 25 [size =\"50048000\"]\n  18 -> 26 [size =\"50048000\"]\n  18 -> 28 [size =\"50048000\"]\n  19 [size=\"37137920\", alpha=\"0.09\", expect_size=\"14855168\"] \n  19 -> 24 [size =\"14855168\"]\n  19 -> 28 [size =\"14855168\"]\n  20 [size=\"49082880\", alpha=\"0.03\", expect_size=\"19633152\"] \n  20 -> 27 [size =\"19633152\"]\n  21 [size=\"127372800\", alpha=\"0.02\", expect_size=\"50949120\"] \n  21 -> 24 [size =\"50949120\"]\n  21 -> 25 [size =\"50949120\"]\n  21 -> 26 [size =\"50949120\"]\n  21 -> 27 [size =\"50949120\"]\n  21 -> 28 [size =\"50949120\"]\n  22 [size=\"113671680\", alpha=\"0.14\", expect_size=\"45468672\"] \n  22 -> 26 [size =\"45468672\"]\n  22 -> 27 [size =\"45468672\"]\n  23 [size=\"129569280\", alpha=\"0.14\", expect_size=\"51827712\"] \n  23 -> 26 [size =\"51827712\"]\n  24 [size=\"89226240\", alpha=\"0.03\", expect_size=\"35690496\"] \n  24 -> 30 [size =\"35690496\"]\n  24 -> 31 [size =\"35690496\"]\n  25 [size=\"35601920\", alpha=\"0.04\", expect_size=\"14240768\"] \n  25 -> 29 [size =\"14240768\"]\n  25 -> 32 [size =\"14240768\"]\n  25 -> 33 [size =\"14240768\"]\n  26 [size=\"109378560\", alpha=\"0.06\", expect_size=\"43751424\"] \n  26 -> 29 [size =\"43751424\"]\n  26 -> 30 [size =\"43751424\"]\n  26 -> 32 [size =\"43751424\"]\n  26 -> 33 [size =\"43751424\"]\n  27 [size=\"83832320\", alpha=\"0.05\", expect_size=\"33532928\"] \n  27 -> 29 [size =\"33532928\"]\n  27 -> 30 [size =\"33532928\"]\n  27 -> 31 [size =\"33532928\"]\n  27 -> 32 [size =\"33532928\"]\n  28 [size=\"83304960\", alpha=\"0.01\", expect_size=\"33321984\"] \n  29 [size=\"53452800\", alpha=\"0.11\", expect_size=\"21381120\"] \n  29 -> 36 [size =\"21381120\"]\n  29 -> 38 [size =\"21381120\"]\n  30 [size=\"103690240\", alpha=\"0.19\", expect_size=\"41476096\"] \n  30 -> 34 [size =\"41476096\"]\n  30 -> 36 [size =\"41476096\"]\n  30 -> 37 [size =\"41476096\"]\n  30 -> 38 [size =\"41476096\"]\n  31 [size=\"122347520\", alpha=\"0.18\", expect_size=\"48939008\"] \n  31 -> 39 [size =\"48939008\"]\n  32 [size=\"18081280\", alpha=\"0.12\", expect_size=\"7232512\"] \n  32 -> 34 [size =\"7232512\"]\n  32 -> 35 [size =\"7232512\"]\n  33 [size=\"99811840\", alpha=\"0.14\", expect_size=\"39924736\"] \n  33 -> 34 [size =\"39924736\"]\n  33 -> 39 [size =\"39924736\"]\n  34 [size=\"63173120\", alpha=\"0.16\", expect_size=\"25269248\"] \n  34 -> 40 [size =\"25269248\"]\n  34 -> 41 [size =\"25269248\"]\n  34 -> 43 [size =\"25269248\"]\n  35 [size=\"80591360\", alpha=\"0.10\", expect_size=\"32236544\"] \n  35 -> 40 [size =\"32236544\"]\n  35 -> 41 [size =\"32236544\"]\n  35 -> 42 [size =\"32236544\"]\n  36 [size=\"102097920\", alpha=\"0.15\", expect_size=\"40839168\"] \n  36 -> 40 [size =\"40839168\"]\n  36 -> 42 [size =\"40839168\"]\n  37 [size=\"21716480\", alpha=\"0.03\", expect_size=\"8686592\"] \n  37 -> 42 [size =\"8686592\"]\n  37 -> 44 [size =\"8686592\"]\n  37 -> 45 [size =\"8686592\"]\n  38 [size=\"50163200\", alpha=\"0.11\", expect_size=\"20065280\"] \n  38 -> 41 [size =\"20065280\"]\n  38 -> 42 [size =\"20065280\"]\n  39 [size=\"54586880\", alpha=\"0.02\", expect_size=\"21834752\"] \n  39 -> 40 [size =\"21834752\"]\n  39 -> 41 [size =\"21834752\"]\n  39 -> 43 [size =\"21834752\"]\n  39 -> 44 [size =\"21834752\"]\n  39 -> 45 [size =\"21834752\"]\n  40 [size=\"119088640\", alpha=\"0.19\", expect_size=\"47635456\"] \n  41 [size=\"112330240\", alpha=\"0.16\", expect_size=\"44932096\"] \n  42 [size=\"100907520\", alpha=\"0.09\", expect_size=\"40363008\"] \n  43 [size=\"51430400\", alpha=\"0.03\", expect_size=\"20572160\"] \n  44 [size=\"15109120\", alpha=\"0.09\", expect_size=\"6043648\"] \n  45 [size=\"110510080\", alpha=\"0.19\", expect_size=\"44204032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69012480\", alpha=\"0.20\", expect_size=\"27604992\"] \n  1 -> 2 [size =\"27604992\"]\n  2 [size=\"101757440\", alpha=\"0.18\", expect_size=\"40702976\"] \n  2 -> 3 [size =\"40702976\"]\n  3 [size=\"34726400\", alpha=\"0.07\", expect_size=\"13890560\"] \n  3 -> 4 [size =\"13890560\"]\n  4 [size=\"28771840\", alpha=\"0.17\", expect_size=\"11508736\"] \n  4 -> 5 [size =\"11508736\"]\n  5 [size=\"67261440\", alpha=\"0.12\", expect_size=\"26904576\"] \n  5 -> 6 [size =\"26904576\"]\n  6 [size=\"118312960\", alpha=\"0.03\", expect_size=\"47325184\"] \n  6 -> 7 [size =\"47325184\"]\n  7 [size=\"39987200\", alpha=\"0.12\", expect_size=\"15994880\"] \n  7 -> 8 [size =\"15994880\"]\n  8 [size=\"61048320\", alpha=\"0.19\", expect_size=\"24419328\"] \n  8 -> 9 [size =\"24419328\"]\n  9 [size=\"100024320\", alpha=\"0.18\", expect_size=\"40009728\"] \n  9 -> 10 [size =\"40009728\"]\n  10 [size=\"103472640\", alpha=\"0.03\", expect_size=\"41389056\"] \n  10 -> 11 [size =\"41389056\"]\n  11 [size=\"45038080\", alpha=\"0.04\", expect_size=\"18015232\"] \n  11 -> 12 [size =\"18015232\"]\n  12 [size=\"43100160\", alpha=\"0.12\", expect_size=\"17240064\"] \n  12 -> 13 [size =\"17240064\"]\n  13 [size=\"29440000\", alpha=\"0.03\", expect_size=\"11776000\"] \n  13 -> 14 [size =\"11776000\"]\n  14 [size=\"68940800\", alpha=\"0.19\", expect_size=\"27576320\"] \n  14 -> 15 [size =\"27576320\"]\n  15 [size=\"53143040\", alpha=\"0.20\", expect_size=\"21257216\"] \n  15 -> 16 [size =\"21257216\"]\n  16 [size=\"126174720\", alpha=\"0.07\", expect_size=\"50469888\"] \n  16 -> 17 [size =\"50469888\"]\n  17 [size=\"23907840\", alpha=\"0.09\", expect_size=\"9563136\"] \n  17 -> 18 [size =\"9563136\"]\n  18 [size=\"94248960\", alpha=\"0.00\", expect_size=\"37699584\"] \n  18 -> 19 [size =\"37699584\"]\n  19 [size=\"85849600\", alpha=\"0.04\", expect_size=\"34339840\"] \n  19 -> 20 [size =\"34339840\"]\n  20 [size=\"74846720\", alpha=\"0.11\", expect_size=\"29938688\"] \n  20 -> 21 [size =\"29938688\"]\n  21 [size=\"91863040\", alpha=\"0.07\", expect_size=\"36745216\"] \n  21 -> 22 [size =\"36745216\"]\n  22 [size=\"116067840\", alpha=\"0.18\", expect_size=\"46427136\"] \n  22 -> 23 [size =\"46427136\"]\n  23 [size=\"71457280\", alpha=\"0.12\", expect_size=\"28582912\"] \n  23 -> 24 [size =\"28582912\"]\n  24 [size=\"88171520\", alpha=\"0.10\", expect_size=\"35268608\"] \n  24 -> 25 [size =\"35268608\"]\n  25 [size=\"84541440\", alpha=\"0.16\", expect_size=\"33816576\"] \n  25 -> 26 [size =\"33816576\"]\n  26 [size=\"83059200\", alpha=\"0.00\", expect_size=\"33223680\"] \n  26 -> 27 [size =\"33223680\"]\n  27 [size=\"122818560\", alpha=\"0.09\", expect_size=\"49127424\"] \n  27 -> 28 [size =\"49127424\"]\n  28 [size=\"58782720\", alpha=\"0.06\", expect_size=\"23513088\"] \n  28 -> 29 [size =\"23513088\"]\n  29 [size=\"59133440\", alpha=\"0.18\", expect_size=\"23653376\"] \n  29 -> 30 [size =\"23653376\"]\n  30 [size=\"85637120\", alpha=\"0.05\", expect_size=\"34254848\"] \n  30 -> 31 [size =\"34254848\"]\n  31 [size=\"32194560\", alpha=\"0.17\", expect_size=\"12877824\"] \n  31 -> 32 [size =\"12877824\"]\n  32 [size=\"72675840\", alpha=\"0.15\", expect_size=\"29070336\"] \n  32 -> 33 [size =\"29070336\"]\n  33 [size=\"59799040\", alpha=\"0.15\", expect_size=\"23919616\"] \n  33 -> 34 [size =\"23919616\"]\n  34 [size=\"15185920\", alpha=\"0.05\", expect_size=\"6074368\"] \n  34 -> 35 [size =\"6074368\"]\n  35 [size=\"72465920\", alpha=\"0.02\", expect_size=\"28986368\"] \n  35 -> 36 [size =\"28986368\"]\n  36 [size=\"49866240\", alpha=\"0.17\", expect_size=\"19946496\"] \n  36 -> 37 [size =\"19946496\"]\n  37 [size=\"52592640\", alpha=\"0.15\", expect_size=\"21037056\"] \n  37 -> 38 [size =\"21037056\"]\n  38 [size=\"107525120\", alpha=\"0.06\", expect_size=\"43010048\"] \n  38 -> 39 [size =\"43010048\"]\n  39 [size=\"26677760\", alpha=\"0.10\", expect_size=\"10671104\"] \n  39 -> 40 [size =\"10671104\"]\n  40 [size=\"14929920\", alpha=\"0.04\", expect_size=\"5971968\"] \n  40 -> 41 [size =\"5971968\"]\n  41 [size=\"44689920\", alpha=\"0.12\", expect_size=\"17875968\"] \n  41 -> 42 [size =\"17875968\"]\n  42 [size=\"29923840\", alpha=\"0.16\", expect_size=\"11969536\"] \n  42 -> 43 [size =\"11969536\"]\n  43 [size=\"118589440\", alpha=\"0.11\", expect_size=\"47435776\"] \n  43 -> 44 [size =\"47435776\"]\n  44 [size=\"91089920\", alpha=\"0.19\", expect_size=\"36435968\"] \n  44 -> 45 [size =\"36435968\"]\n  45 [size=\"121226240\", alpha=\"0.18\", expect_size=\"48490496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133300907\", alpha=\"0.11\", expect_size=\"39990272\"] \n  1 -> 6 [size =\"39990272\"]\n  2 [size=\"128368640\", alpha=\"0.04\", expect_size=\"38510592\"] \n  3 [size=\"58245120\", alpha=\"0.05\", expect_size=\"17473536\"] \n  3 -> 5 [size =\"17473536\"]\n  3 -> 6 [size =\"17473536\"]\n  4 [size=\"107550720\", alpha=\"0.11\", expect_size=\"32265216\"] \n  4 -> 5 [size =\"32265216\"]\n  4 -> 6 [size =\"32265216\"]\n  5 [size=\"25815040\", alpha=\"0.16\", expect_size=\"7744512\"] \n  5 -> 7 [size =\"7744512\"]\n  6 [size=\"32508587\", alpha=\"0.10\", expect_size=\"9752576\"] \n  6 -> 7 [size =\"9752576\"]\n  7 [size=\"126057813\", alpha=\"0.05\", expect_size=\"37817344\"] \n  7 -> 8 [size =\"37817344\"]\n  8 [size=\"103840427\", alpha=\"0.09\", expect_size=\"31152128\"] \n  8 -> 9 [size =\"31152128\"]\n  8 -> 10 [size =\"31152128\"]\n  8 -> 11 [size =\"31152128\"]\n  9 [size=\"63822507\", alpha=\"0.00\", expect_size=\"19146752\"] \n  9 -> 13 [size =\"19146752\"]\n  9 -> 14 [size =\"19146752\"]\n  10 [size=\"40734720\", alpha=\"0.07\", expect_size=\"12220416\"] \n  10 -> 14 [size =\"12220416\"]\n  11 [size=\"166901760\", alpha=\"0.01\", expect_size=\"50070528\"] \n  11 -> 12 [size =\"50070528\"]\n  11 -> 13 [size =\"50070528\"]\n  12 [size=\"99549867\", alpha=\"0.08\", expect_size=\"29864960\"] \n  12 -> 15 [size =\"29864960\"]\n  13 [size=\"128829440\", alpha=\"0.18\", expect_size=\"38648832\"] \n  14 [size=\"166430720\", alpha=\"0.07\", expect_size=\"49929216\"] \n  15 [size=\"96017067\", alpha=\"0.15\", expect_size=\"28805120\"] \n  15 -> 16 [size =\"28805120\"]\n  15 -> 17 [size =\"28805120\"]\n  15 -> 18 [size =\"28805120\"]\n  16 [size=\"61422933\", alpha=\"0.05\", expect_size=\"18426880\"] \n  16 -> 19 [size =\"18426880\"]\n  16 -> 20 [size =\"18426880\"]\n  16 -> 21 [size =\"18426880\"]\n  17 [size=\"138257067\", alpha=\"0.16\", expect_size=\"41477120\"] \n  17 -> 20 [size =\"41477120\"]\n  17 -> 22 [size =\"41477120\"]\n  18 [size=\"174097067\", alpha=\"0.14\", expect_size=\"52229120\"] \n  18 -> 19 [size =\"52229120\"]\n  19 [size=\"86405120\", alpha=\"0.13\", expect_size=\"25921536\"] \n  19 -> 23 [size =\"25921536\"]\n  20 [size=\"89169920\", alpha=\"0.07\", expect_size=\"26750976\"] \n  21 [size=\"145012053\", alpha=\"0.15\", expect_size=\"43503616\"] \n  21 -> 24 [size =\"43503616\"]\n  22 [size=\"156596907\", alpha=\"0.18\", expect_size=\"46979072\"] \n  22 -> 23 [size =\"46979072\"]\n  22 -> 24 [size =\"46979072\"]\n  23 [size=\"65853440\", alpha=\"0.05\", expect_size=\"19756032\"] \n  23 -> 25 [size =\"19756032\"]\n  24 [size=\"50834773\", alpha=\"0.04\", expect_size=\"15250432\"] \n  24 -> 26 [size =\"15250432\"]\n  25 [size=\"103130453\", alpha=\"0.05\", expect_size=\"30939136\"] \n  25 -> 27 [size =\"30939136\"]\n  25 -> 28 [size =\"30939136\"]\n  26 [size=\"61607253\", alpha=\"0.07\", expect_size=\"18482176\"] \n  26 -> 28 [size =\"18482176\"]\n  26 -> 29 [size =\"18482176\"]\n  27 [size=\"97215147\", alpha=\"0.03\", expect_size=\"29164544\"] \n  28 [size=\"66556587\", alpha=\"0.10\", expect_size=\"19966976\"] \n  29 [size=\"18578773\", alpha=\"0.03\", expect_size=\"5573632\"] \n  29 -> 30 [size =\"5573632\"]\n  30 [size=\"119674880\", alpha=\"0.18\", expect_size=\"35902464\"] \n  30 -> 31 [size =\"35902464\"]\n  30 -> 32 [size =\"35902464\"]\n  30 -> 33 [size =\"35902464\"]\n  31 [size=\"171318613\", alpha=\"0.13\", expect_size=\"51395584\"] \n  31 -> 34 [size =\"51395584\"]\n  31 -> 37 [size =\"51395584\"]\n  32 [size=\"132048213\", alpha=\"0.18\", expect_size=\"39614464\"] \n  32 -> 34 [size =\"39614464\"]\n  32 -> 36 [size =\"39614464\"]\n  33 [size=\"112759467\", alpha=\"0.18\", expect_size=\"33827840\"] \n  33 -> 35 [size =\"33827840\"]\n  33 -> 36 [size =\"33827840\"]\n  33 -> 37 [size =\"33827840\"]\n  34 [size=\"154217813\", alpha=\"0.16\", expect_size=\"46265344\"] \n  34 -> 39 [size =\"46265344\"]\n  35 [size=\"31924907\", alpha=\"0.04\", expect_size=\"9577472\"] \n  35 -> 38 [size =\"9577472\"]\n  36 [size=\"68802560\", alpha=\"0.18\", expect_size=\"20640768\"] \n  36 -> 39 [size =\"20640768\"]\n  36 -> 40 [size =\"20640768\"]\n  37 [size=\"122586453\", alpha=\"0.08\", expect_size=\"36775936\"] \n  37 -> 38 [size =\"36775936\"]\n  37 -> 39 [size =\"36775936\"]\n  38 [size=\"144578560\", alpha=\"0.17\", expect_size=\"43373568\"] \n  38 -> 41 [size =\"43373568\"]\n  39 [size=\"63856640\", alpha=\"0.15\", expect_size=\"19156992\"] \n  39 -> 41 [size =\"19156992\"]\n  39 -> 42 [size =\"19156992\"]\n  40 [size=\"84053333\", alpha=\"0.02\", expect_size=\"25216000\"] \n  41 [size=\"71140693\", alpha=\"0.05\", expect_size=\"21342208\"] \n  41 -> 43 [size =\"21342208\"]\n  41 -> 45 [size =\"21342208\"]\n  42 [size=\"174547627\", alpha=\"0.06\", expect_size=\"52364288\"] \n  42 -> 43 [size =\"52364288\"]\n  42 -> 44 [size =\"52364288\"]\n  42 -> 45 [size =\"52364288\"]\n  43 [size=\"161774933\", alpha=\"0.13\", expect_size=\"48532480\"] \n  44 [size=\"144175787\", alpha=\"0.04\", expect_size=\"43252736\"] \n  45 [size=\"113421653\", alpha=\"0.07\", expect_size=\"34026496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106078720\", alpha=\"0.03\", expect_size=\"42431488\"] \n  1 -> 4 [size =\"42431488\"]\n  1 -> 5 [size =\"42431488\"]\n  2 [size=\"89420800\", alpha=\"0.13\", expect_size=\"35768320\"] \n  2 -> 4 [size =\"35768320\"]\n  3 [size=\"84648960\", alpha=\"0.09\", expect_size=\"33859584\"] \n  4 [size=\"30809600\", alpha=\"0.02\", expect_size=\"12323840\"] \n  4 -> 7 [size =\"12323840\"]\n  5 [size=\"71851520\", alpha=\"0.02\", expect_size=\"28740608\"] \n  5 -> 6 [size =\"28740608\"]\n  5 -> 7 [size =\"28740608\"]\n  6 [size=\"127009280\", alpha=\"0.16\", expect_size=\"50803712\"] \n  6 -> 8 [size =\"50803712\"]\n  6 -> 10 [size =\"50803712\"]\n  7 [size=\"52216320\", alpha=\"0.18\", expect_size=\"20886528\"] \n  7 -> 8 [size =\"20886528\"]\n  7 -> 9 [size =\"20886528\"]\n  7 -> 10 [size =\"20886528\"]\n  8 [size=\"29591040\", alpha=\"0.14\", expect_size=\"11836416\"] \n  8 -> 12 [size =\"11836416\"]\n  8 -> 13 [size =\"11836416\"]\n  9 [size=\"35174400\", alpha=\"0.04\", expect_size=\"14069760\"] \n  9 -> 11 [size =\"14069760\"]\n  10 [size=\"128814080\", alpha=\"0.19\", expect_size=\"51525632\"] \n  11 [size=\"120005120\", alpha=\"0.20\", expect_size=\"48002048\"] \n  11 -> 14 [size =\"48002048\"]\n  12 [size=\"21050880\", alpha=\"0.19\", expect_size=\"8420352\"] \n  13 [size=\"99747840\", alpha=\"0.06\", expect_size=\"39899136\"] \n  13 -> 15 [size =\"39899136\"]\n  14 [size=\"32614400\", alpha=\"0.19\", expect_size=\"13045760\"] \n  14 -> 16 [size =\"13045760\"]\n  15 [size=\"41879040\", alpha=\"0.10\", expect_size=\"16751616\"] \n  15 -> 16 [size =\"16751616\"]\n  15 -> 17 [size =\"16751616\"]\n  16 [size=\"55178240\", alpha=\"0.13\", expect_size=\"22071296\"] \n  16 -> 18 [size =\"22071296\"]\n  17 [size=\"31050240\", alpha=\"0.06\", expect_size=\"12420096\"] \n  17 -> 18 [size =\"12420096\"]\n  17 -> 19 [size =\"12420096\"]\n  18 [size=\"18923520\", alpha=\"0.18\", expect_size=\"7569408\"] \n  18 -> 20 [size =\"7569408\"]\n  18 -> 21 [size =\"7569408\"]\n  18 -> 22 [size =\"7569408\"]\n  19 [size=\"100303360\", alpha=\"0.07\", expect_size=\"40121344\"] \n  19 -> 20 [size =\"40121344\"]\n  19 -> 21 [size =\"40121344\"]\n  19 -> 22 [size =\"40121344\"]\n  20 [size=\"121738240\", alpha=\"0.13\", expect_size=\"48695296\"] \n  20 -> 25 [size =\"48695296\"]\n  21 [size=\"118773760\", alpha=\"0.15\", expect_size=\"47509504\"] \n  21 -> 23 [size =\"47509504\"]\n  21 -> 24 [size =\"47509504\"]\n  21 -> 25 [size =\"47509504\"]\n  22 [size=\"117770240\", alpha=\"0.11\", expect_size=\"47108096\"] \n  22 -> 23 [size =\"47108096\"]\n  22 -> 24 [size =\"47108096\"]\n  22 -> 25 [size =\"47108096\"]\n  23 [size=\"113899520\", alpha=\"0.18\", expect_size=\"45559808\"] \n  23 -> 26 [size =\"45559808\"]\n  23 -> 27 [size =\"45559808\"]\n  24 [size=\"29859840\", alpha=\"0.08\", expect_size=\"11943936\"] \n  24 -> 26 [size =\"11943936\"]\n  24 -> 27 [size =\"11943936\"]\n  24 -> 28 [size =\"11943936\"]\n  25 [size=\"25264640\", alpha=\"0.09\", expect_size=\"10105856\"] \n  25 -> 26 [size =\"10105856\"]\n  25 -> 27 [size =\"10105856\"]\n  26 [size=\"81653760\", alpha=\"0.08\", expect_size=\"32661504\"] \n  26 -> 29 [size =\"32661504\"]\n  26 -> 30 [size =\"32661504\"]\n  27 [size=\"39649280\", alpha=\"0.14\", expect_size=\"15859712\"] \n  27 -> 29 [size =\"15859712\"]\n  27 -> 30 [size =\"15859712\"]\n  28 [size=\"73617920\", alpha=\"0.03\", expect_size=\"29447168\"] \n  28 -> 29 [size =\"29447168\"]\n  28 -> 30 [size =\"29447168\"]\n  29 [size=\"64522240\", alpha=\"0.16\", expect_size=\"25808896\"] \n  29 -> 31 [size =\"25808896\"]\n  29 -> 32 [size =\"25808896\"]\n  29 -> 33 [size =\"25808896\"]\n  30 [size=\"103377920\", alpha=\"0.09\", expect_size=\"41351168\"] \n  30 -> 31 [size =\"41351168\"]\n  30 -> 32 [size =\"41351168\"]\n  31 [size=\"62681600\", alpha=\"0.19\", expect_size=\"25072640\"] \n  31 -> 34 [size =\"25072640\"]\n  31 -> 35 [size =\"25072640\"]\n  32 [size=\"35407360\", alpha=\"0.11\", expect_size=\"14162944\"] \n  32 -> 35 [size =\"14162944\"]\n  33 [size=\"97871360\", alpha=\"0.18\", expect_size=\"39148544\"] \n  33 -> 35 [size =\"39148544\"]\n  34 [size=\"85683200\", alpha=\"0.08\", expect_size=\"34273280\"] \n  34 -> 36 [size =\"34273280\"]\n  34 -> 38 [size =\"34273280\"]\n  35 [size=\"16550400\", alpha=\"0.02\", expect_size=\"6620160\"] \n  35 -> 37 [size =\"6620160\"]\n  36 [size=\"67182080\", alpha=\"0.04\", expect_size=\"26872832\"] \n  36 -> 40 [size =\"26872832\"]\n  36 -> 41 [size =\"26872832\"]\n  37 [size=\"115553280\", alpha=\"0.09\", expect_size=\"46221312\"] \n  37 -> 39 [size =\"46221312\"]\n  37 -> 41 [size =\"46221312\"]\n  38 [size=\"82813440\", alpha=\"0.15\", expect_size=\"33125376\"] \n  38 -> 39 [size =\"33125376\"]\n  39 [size=\"103408640\", alpha=\"0.16\", expect_size=\"41363456\"] \n  39 -> 42 [size =\"41363456\"]\n  39 -> 44 [size =\"41363456\"]\n  40 [size=\"81446400\", alpha=\"0.15\", expect_size=\"32578560\"] \n  40 -> 43 [size =\"32578560\"]\n  40 -> 44 [size =\"32578560\"]\n  41 [size=\"14666240\", alpha=\"0.12\", expect_size=\"5866496\"] \n  41 -> 44 [size =\"5866496\"]\n  42 [size=\"127938560\", alpha=\"0.07\", expect_size=\"51175424\"] \n  43 [size=\"75307520\", alpha=\"0.18\", expect_size=\"30123008\"] \n  43 -> 45 [size =\"30123008\"]\n  44 [size=\"61383680\", alpha=\"0.13\", expect_size=\"24553472\"] \n  45 [size=\"105674240\", alpha=\"0.10\", expect_size=\"42269696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120845653\", alpha=\"0.17\", expect_size=\"36253696\"] \n  1 -> 14 [size =\"36253696\"]\n  1 -> 16 [size =\"36253696\"]\n  1 -> 17 [size =\"36253696\"]\n  1 -> 23 [size =\"36253696\"]\n  1 -> 24 [size =\"36253696\"]\n  1 -> 25 [size =\"36253696\"]\n  2 [size=\"90562560\", alpha=\"0.13\", expect_size=\"27168768\"] \n  2 -> 14 [size =\"27168768\"]\n  2 -> 16 [size =\"27168768\"]\n  2 -> 24 [size =\"27168768\"]\n  3 [size=\"154603520\", alpha=\"0.10\", expect_size=\"46381056\"] \n  3 -> 14 [size =\"46381056\"]\n  3 -> 16 [size =\"46381056\"]\n  3 -> 18 [size =\"46381056\"]\n  3 -> 23 [size =\"46381056\"]\n  3 -> 27 [size =\"46381056\"]\n  4 [size=\"160648533\", alpha=\"0.12\", expect_size=\"48194560\"] \n  4 -> 13 [size =\"48194560\"]\n  4 -> 15 [size =\"48194560\"]\n  4 -> 16 [size =\"48194560\"]\n  4 -> 19 [size =\"48194560\"]\n  4 -> 22 [size =\"48194560\"]\n  4 -> 23 [size =\"48194560\"]\n  5 [size=\"135652693\", alpha=\"0.07\", expect_size=\"40695808\"] \n  5 -> 13 [size =\"40695808\"]\n  5 -> 15 [size =\"40695808\"]\n  5 -> 17 [size =\"40695808\"]\n  5 -> 18 [size =\"40695808\"]\n  5 -> 23 [size =\"40695808\"]\n  5 -> 24 [size =\"40695808\"]\n  5 -> 27 [size =\"40695808\"]\n  6 [size=\"146141867\", alpha=\"0.02\", expect_size=\"43842560\"] \n  6 -> 12 [size =\"43842560\"]\n  6 -> 16 [size =\"43842560\"]\n  6 -> 17 [size =\"43842560\"]\n  6 -> 20 [size =\"43842560\"]\n  6 -> 22 [size =\"43842560\"]\n  6 -> 23 [size =\"43842560\"]\n  6 -> 26 [size =\"43842560\"]\n  6 -> 27 [size =\"43842560\"]\n  7 [size=\"34245973\", alpha=\"0.19\", expect_size=\"10273792\"] \n  7 -> 13 [size =\"10273792\"]\n  7 -> 14 [size =\"10273792\"]\n  7 -> 16 [size =\"10273792\"]\n  7 -> 18 [size =\"10273792\"]\n  7 -> 19 [size =\"10273792\"]\n  7 -> 24 [size =\"10273792\"]\n  7 -> 25 [size =\"10273792\"]\n  7 -> 27 [size =\"10273792\"]\n  8 [size=\"43468800\", alpha=\"0.15\", expect_size=\"13040640\"] \n  8 -> 12 [size =\"13040640\"]\n  8 -> 15 [size =\"13040640\"]\n  8 -> 17 [size =\"13040640\"]\n  8 -> 19 [size =\"13040640\"]\n  8 -> 21 [size =\"13040640\"]\n  8 -> 22 [size =\"13040640\"]\n  8 -> 27 [size =\"13040640\"]\n  9 [size=\"84561920\", alpha=\"0.19\", expect_size=\"25368576\"] \n  9 -> 12 [size =\"25368576\"]\n  9 -> 15 [size =\"25368576\"]\n  9 -> 19 [size =\"25368576\"]\n  9 -> 20 [size =\"25368576\"]\n  9 -> 25 [size =\"25368576\"]\n  10 [size=\"118097920\", alpha=\"0.07\", expect_size=\"35429376\"] \n  10 -> 14 [size =\"35429376\"]\n  10 -> 15 [size =\"35429376\"]\n  10 -> 16 [size =\"35429376\"]\n  10 -> 17 [size =\"35429376\"]\n  10 -> 18 [size =\"35429376\"]\n  10 -> 19 [size =\"35429376\"]\n  10 -> 21 [size =\"35429376\"]\n  10 -> 23 [size =\"35429376\"]\n  10 -> 24 [size =\"35429376\"]\n  11 [size=\"151613440\", alpha=\"0.09\", expect_size=\"45484032\"] \n  11 -> 17 [size =\"45484032\"]\n  11 -> 18 [size =\"45484032\"]\n  11 -> 21 [size =\"45484032\"]\n  11 -> 24 [size =\"45484032\"]\n  11 -> 25 [size =\"45484032\"]\n  12 [size=\"131198293\", alpha=\"0.05\", expect_size=\"39359488\"] \n  12 -> 37 [size =\"39359488\"]\n  13 [size=\"79766187\", alpha=\"0.01\", expect_size=\"23929856\"] \n  13 -> 31 [size =\"23929856\"]\n  13 -> 32 [size =\"23929856\"]\n  13 -> 35 [size =\"23929856\"]\n  13 -> 37 [size =\"23929856\"]\n  13 -> 39 [size =\"23929856\"]\n  13 -> 40 [size =\"23929856\"]\n  14 [size=\"156474027\", alpha=\"0.06\", expect_size=\"46942208\"] \n  14 -> 28 [size =\"46942208\"]\n  14 -> 29 [size =\"46942208\"]\n  14 -> 31 [size =\"46942208\"]\n  14 -> 36 [size =\"46942208\"]\n  14 -> 38 [size =\"46942208\"]\n  15 [size=\"94033920\", alpha=\"0.17\", expect_size=\"28210176\"] \n  15 -> 29 [size =\"28210176\"]\n  15 -> 35 [size =\"28210176\"]\n  15 -> 36 [size =\"28210176\"]\n  15 -> 37 [size =\"28210176\"]\n  15 -> 38 [size =\"28210176\"]\n  15 -> 39 [size =\"28210176\"]\n  16 [size=\"147879253\", alpha=\"0.12\", expect_size=\"44363776\"] \n  16 -> 29 [size =\"44363776\"]\n  16 -> 31 [size =\"44363776\"]\n  16 -> 36 [size =\"44363776\"]\n  16 -> 38 [size =\"44363776\"]\n  16 -> 39 [size =\"44363776\"]\n  17 [size=\"162191360\", alpha=\"0.15\", expect_size=\"48657408\"] \n  17 -> 28 [size =\"48657408\"]\n  17 -> 29 [size =\"48657408\"]\n  17 -> 30 [size =\"48657408\"]\n  17 -> 33 [size =\"48657408\"]\n  17 -> 38 [size =\"48657408\"]\n  17 -> 39 [size =\"48657408\"]\n  18 [size=\"155187200\", alpha=\"0.07\", expect_size=\"46556160\"] \n  18 -> 29 [size =\"46556160\"]\n  18 -> 31 [size =\"46556160\"]\n  18 -> 39 [size =\"46556160\"]\n  19 [size=\"112486400\", alpha=\"0.09\", expect_size=\"33745920\"] \n  19 -> 29 [size =\"33745920\"]\n  19 -> 30 [size =\"33745920\"]\n  19 -> 37 [size =\"33745920\"]\n  19 -> 38 [size =\"33745920\"]\n  19 -> 39 [size =\"33745920\"]\n  20 [size=\"103526400\", alpha=\"0.08\", expect_size=\"31057920\"] \n  20 -> 29 [size =\"31057920\"]\n  20 -> 33 [size =\"31057920\"]\n  20 -> 34 [size =\"31057920\"]\n  20 -> 37 [size =\"31057920\"]\n  20 -> 38 [size =\"31057920\"]\n  20 -> 39 [size =\"31057920\"]\n  21 [size=\"156112213\", alpha=\"0.20\", expect_size=\"46833664\"] \n  21 -> 29 [size =\"46833664\"]\n  21 -> 30 [size =\"46833664\"]\n  21 -> 34 [size =\"46833664\"]\n  21 -> 37 [size =\"46833664\"]\n  21 -> 38 [size =\"46833664\"]\n  21 -> 39 [size =\"46833664\"]\n  22 [size=\"72724480\", alpha=\"0.01\", expect_size=\"21817344\"] \n  22 -> 31 [size =\"21817344\"]\n  22 -> 37 [size =\"21817344\"]\n  22 -> 38 [size =\"21817344\"]\n  23 [size=\"108168533\", alpha=\"0.20\", expect_size=\"32450560\"] \n  23 -> 28 [size =\"32450560\"]\n  23 -> 31 [size =\"32450560\"]\n  23 -> 33 [size =\"32450560\"]\n  24 [size=\"119466667\", alpha=\"0.17\", expect_size=\"35840000\"] \n  24 -> 28 [size =\"35840000\"]\n  24 -> 31 [size =\"35840000\"]\n  24 -> 32 [size =\"35840000\"]\n  24 -> 35 [size =\"35840000\"]\n  24 -> 36 [size =\"35840000\"]\n  24 -> 38 [size =\"35840000\"]\n  25 [size=\"167140693\", alpha=\"0.09\", expect_size=\"50142208\"] \n  25 -> 28 [size =\"50142208\"]\n  25 -> 30 [size =\"50142208\"]\n  25 -> 31 [size =\"50142208\"]\n  25 -> 36 [size =\"50142208\"]\n  25 -> 37 [size =\"50142208\"]\n  25 -> 38 [size =\"50142208\"]\n  26 [size=\"143233707\", alpha=\"0.17\", expect_size=\"42970112\"] \n  26 -> 29 [size =\"42970112\"]\n  26 -> 35 [size =\"42970112\"]\n  26 -> 36 [size =\"42970112\"]\n  27 [size=\"79441920\", alpha=\"0.07\", expect_size=\"23832576\"] \n  27 -> 29 [size =\"23832576\"]\n  27 -> 32 [size =\"23832576\"]\n  27 -> 33 [size =\"23832576\"]\n  27 -> 34 [size =\"23832576\"]\n  27 -> 37 [size =\"23832576\"]\n  28 [size=\"38225920\", alpha=\"0.01\", expect_size=\"11467776\"] \n  28 -> 41 [size =\"11467776\"]\n  29 [size=\"94180693\", alpha=\"0.03\", expect_size=\"28254208\"] \n  29 -> 41 [size =\"28254208\"]\n  29 -> 42 [size =\"28254208\"]\n  29 -> 43 [size =\"28254208\"]\n  30 [size=\"165792427\", alpha=\"0.18\", expect_size=\"49737728\"] \n  30 -> 43 [size =\"49737728\"]\n  30 -> 44 [size =\"49737728\"]\n  31 [size=\"70717440\", alpha=\"0.10\", expect_size=\"21215232\"] \n  31 -> 41 [size =\"21215232\"]\n  31 -> 42 [size =\"21215232\"]\n  31 -> 43 [size =\"21215232\"]\n  32 [size=\"69611520\", alpha=\"0.17\", expect_size=\"20883456\"] \n  33 [size=\"78274560\", alpha=\"0.11\", expect_size=\"23482368\"] \n  33 -> 41 [size =\"23482368\"]\n  34 [size=\"76554240\", alpha=\"0.04\", expect_size=\"22966272\"] \n  34 -> 42 [size =\"22966272\"]\n  35 [size=\"50329600\", alpha=\"0.05\", expect_size=\"15098880\"] \n  35 -> 44 [size =\"15098880\"]\n  36 [size=\"117787307\", alpha=\"0.04\", expect_size=\"35336192\"] \n  36 -> 44 [size =\"35336192\"]\n  36 -> 45 [size =\"35336192\"]\n  37 [size=\"93016747\", alpha=\"0.01\", expect_size=\"27905024\"] \n  38 [size=\"150074027\", alpha=\"0.15\", expect_size=\"45022208\"] \n  38 -> 42 [size =\"45022208\"]\n  38 -> 44 [size =\"45022208\"]\n  38 -> 45 [size =\"45022208\"]\n  39 [size=\"157672107\", alpha=\"0.02\", expect_size=\"47301632\"] \n  39 -> 42 [size =\"47301632\"]\n  40 [size=\"25610240\", alpha=\"0.19\", expect_size=\"7683072\"] \n  41 [size=\"169082880\", alpha=\"0.14\", expect_size=\"50724864\"] \n  42 [size=\"93088427\", alpha=\"0.16\", expect_size=\"27926528\"] \n  43 [size=\"68631893\", alpha=\"0.10\", expect_size=\"20589568\"] \n  44 [size=\"158003200\", alpha=\"0.16\", expect_size=\"47400960\"] \n  45 [size=\"28344320\", alpha=\"0.02\", expect_size=\"8503296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12609536\", alpha=\"0.19\", expect_size=\"6304768\"] \n  1 -> 15 [size =\"6304768\"]\n  1 -> 18 [size =\"6304768\"]\n  1 -> 20 [size =\"6304768\"]\n  1 -> 21 [size =\"6304768\"]\n  1 -> 25 [size =\"6304768\"]\n  1 -> 25 [size =\"6304768\"]\n  2 [size=\"98820096\", alpha=\"0.13\", expect_size=\"49410048\"] \n  2 -> 14 [size =\"49410048\"]\n  2 -> 15 [size =\"49410048\"]\n  2 -> 18 [size =\"49410048\"]\n  2 -> 19 [size =\"49410048\"]\n  2 -> 21 [size =\"49410048\"]\n  2 -> 25 [size =\"49410048\"]\n  3 [size=\"60172288\", alpha=\"0.05\", expect_size=\"30086144\"] \n  3 -> 15 [size =\"30086144\"]\n  3 -> 17 [size =\"30086144\"]\n  3 -> 19 [size =\"30086144\"]\n  3 -> 20 [size =\"30086144\"]\n  3 -> 22 [size =\"30086144\"]\n  3 -> 23 [size =\"30086144\"]\n  3 -> 25 [size =\"30086144\"]\n  4 [size=\"87326720\", alpha=\"0.09\", expect_size=\"43663360\"] \n  4 -> 16 [size =\"43663360\"]\n  4 -> 19 [size =\"43663360\"]\n  4 -> 20 [size =\"43663360\"]\n  4 -> 20 [size =\"43663360\"]\n  4 -> 21 [size =\"43663360\"]\n  4 -> 22 [size =\"43663360\"]\n  5 [size=\"42131456\", alpha=\"0.03\", expect_size=\"21065728\"] \n  5 -> 15 [size =\"21065728\"]\n  5 -> 16 [size =\"21065728\"]\n  5 -> 21 [size =\"21065728\"]\n  5 -> 26 [size =\"21065728\"]\n  6 [size=\"81489920\", alpha=\"0.15\", expect_size=\"40744960\"] \n  6 -> 15 [size =\"40744960\"]\n  6 -> 18 [size =\"40744960\"]\n  6 -> 21 [size =\"40744960\"]\n  6 -> 24 [size =\"40744960\"]\n  7 [size=\"14821376\", alpha=\"0.03\", expect_size=\"7410688\"] \n  7 -> 21 [size =\"7410688\"]\n  7 -> 23 [size =\"7410688\"]\n  7 -> 26 [size =\"7410688\"]\n  8 [size=\"74946560\", alpha=\"0.11\", expect_size=\"37473280\"] \n  8 -> 14 [size =\"37473280\"]\n  8 -> 16 [size =\"37473280\"]\n  8 -> 21 [size =\"37473280\"]\n  8 -> 23 [size =\"37473280\"]\n  8 -> 25 [size =\"37473280\"]\n  9 [size=\"44519424\", alpha=\"0.05\", expect_size=\"22259712\"] \n  9 -> 16 [size =\"22259712\"]\n  9 -> 19 [size =\"22259712\"]\n  9 -> 20 [size =\"22259712\"]\n  9 -> 21 [size =\"22259712\"]\n  9 -> 25 [size =\"22259712\"]\n  10 [size=\"75507712\", alpha=\"0.13\", expect_size=\"37753856\"] \n  10 -> 18 [size =\"37753856\"]\n  10 -> 19 [size =\"37753856\"]\n  10 -> 20 [size =\"37753856\"]\n  10 -> 21 [size =\"37753856\"]\n  10 -> 25 [size =\"37753856\"]\n  11 [size=\"55767040\", alpha=\"0.04\", expect_size=\"27883520\"] \n  11 -> 14 [size =\"27883520\"]\n  11 -> 17 [size =\"27883520\"]\n  11 -> 19 [size =\"27883520\"]\n  11 -> 21 [size =\"27883520\"]\n  11 -> 25 [size =\"27883520\"]\n  12 [size=\"52889600\", alpha=\"0.08\", expect_size=\"26444800\"] \n  12 -> 14 [size =\"26444800\"]\n  12 -> 17 [size =\"26444800\"]\n  12 -> 19 [size =\"26444800\"]\n  12 -> 21 [size =\"26444800\"]\n  12 -> 25 [size =\"26444800\"]\n  13 [size=\"20738048\", alpha=\"0.13\", expect_size=\"10369024\"] \n  13 -> 15 [size =\"10369024\"]\n  13 -> 18 [size =\"10369024\"]\n  13 -> 21 [size =\"10369024\"]\n  13 -> 22 [size =\"10369024\"]\n  13 -> 24 [size =\"10369024\"]\n  13 -> 25 [size =\"10369024\"]\n  14 [size=\"42260480\", alpha=\"0.01\", expect_size=\"21130240\"] \n  14 -> 27 [size =\"21130240\"]\n  14 -> 28 [size =\"21130240\"]\n  14 -> 31 [size =\"21130240\"]\n  14 -> 32 [size =\"21130240\"]\n  14 -> 33 [size =\"21130240\"]\n  14 -> 36 [size =\"21130240\"]\n  14 -> 39 [size =\"21130240\"]\n  15 [size=\"86378496\", alpha=\"0.01\", expect_size=\"43189248\"] \n  15 -> 27 [size =\"43189248\"]\n  15 -> 29 [size =\"43189248\"]\n  15 -> 31 [size =\"43189248\"]\n  15 -> 32 [size =\"43189248\"]\n  15 -> 33 [size =\"43189248\"]\n  15 -> 34 [size =\"43189248\"]\n  15 -> 36 [size =\"43189248\"]\n  15 -> 39 [size =\"43189248\"]\n  16 [size=\"100298752\", alpha=\"0.13\", expect_size=\"50149376\"] \n  16 -> 27 [size =\"50149376\"]\n  16 -> 28 [size =\"50149376\"]\n  16 -> 30 [size =\"50149376\"]\n  16 -> 31 [size =\"50149376\"]\n  16 -> 33 [size =\"50149376\"]\n  16 -> 34 [size =\"50149376\"]\n  16 -> 35 [size =\"50149376\"]\n  16 -> 37 [size =\"50149376\"]\n  16 -> 38 [size =\"50149376\"]\n  16 -> 39 [size =\"50149376\"]\n  17 [size=\"75651072\", alpha=\"0.09\", expect_size=\"37825536\"] \n  17 -> 27 [size =\"37825536\"]\n  17 -> 28 [size =\"37825536\"]\n  17 -> 30 [size =\"37825536\"]\n  17 -> 34 [size =\"37825536\"]\n  17 -> 35 [size =\"37825536\"]\n  17 -> 39 [size =\"37825536\"]\n  18 [size=\"89556992\", alpha=\"0.13\", expect_size=\"44778496\"] \n  18 -> 27 [size =\"44778496\"]\n  18 -> 28 [size =\"44778496\"]\n  18 -> 30 [size =\"44778496\"]\n  18 -> 33 [size =\"44778496\"]\n  18 -> 34 [size =\"44778496\"]\n  18 -> 35 [size =\"44778496\"]\n  18 -> 36 [size =\"44778496\"]\n  18 -> 38 [size =\"44778496\"]\n  18 -> 39 [size =\"44778496\"]\n  19 [size=\"48072704\", alpha=\"0.00\", expect_size=\"24036352\"] \n  19 -> 27 [size =\"24036352\"]\n  19 -> 28 [size =\"24036352\"]\n  19 -> 30 [size =\"24036352\"]\n  19 -> 33 [size =\"24036352\"]\n  19 -> 34 [size =\"24036352\"]\n  19 -> 35 [size =\"24036352\"]\n  19 -> 39 [size =\"24036352\"]\n  20 [size=\"73164800\", alpha=\"0.14\", expect_size=\"36582400\"] \n  20 -> 27 [size =\"36582400\"]\n  20 -> 28 [size =\"36582400\"]\n  20 -> 31 [size =\"36582400\"]\n  20 -> 33 [size =\"36582400\"]\n  20 -> 34 [size =\"36582400\"]\n  20 -> 35 [size =\"36582400\"]\n  20 -> 38 [size =\"36582400\"]\n  20 -> 39 [size =\"36582400\"]\n  21 [size=\"39110656\", alpha=\"0.08\", expect_size=\"19555328\"] \n  21 -> 27 [size =\"19555328\"]\n  21 -> 28 [size =\"19555328\"]\n  21 -> 31 [size =\"19555328\"]\n  21 -> 33 [size =\"19555328\"]\n  21 -> 35 [size =\"19555328\"]\n  21 -> 35 [size =\"19555328\"]\n  22 [size=\"59123712\", alpha=\"0.01\", expect_size=\"29561856\"] \n  22 -> 27 [size =\"29561856\"]\n  22 -> 28 [size =\"29561856\"]\n  22 -> 33 [size =\"29561856\"]\n  22 -> 33 [size =\"29561856\"]\n  22 -> 34 [size =\"29561856\"]\n  22 -> 35 [size =\"29561856\"]\n  22 -> 39 [size =\"29561856\"]\n  23 [size=\"96303104\", alpha=\"0.04\", expect_size=\"48151552\"] \n  23 -> 27 [size =\"48151552\"]\n  23 -> 28 [size =\"48151552\"]\n  23 -> 30 [size =\"48151552\"]\n  23 -> 33 [size =\"48151552\"]\n  23 -> 34 [size =\"48151552\"]\n  23 -> 35 [size =\"48151552\"]\n  23 -> 39 [size =\"48151552\"]\n  24 [size=\"64823296\", alpha=\"0.04\", expect_size=\"32411648\"] \n  24 -> 28 [size =\"32411648\"]\n  24 -> 34 [size =\"32411648\"]\n  24 -> 35 [size =\"32411648\"]\n  24 -> 36 [size =\"32411648\"]\n  24 -> 39 [size =\"32411648\"]\n  25 [size=\"67592192\", alpha=\"0.10\", expect_size=\"33796096\"] \n  25 -> 27 [size =\"33796096\"]\n  25 -> 28 [size =\"33796096\"]\n  25 -> 30 [size =\"33796096\"]\n  25 -> 35 [size =\"33796096\"]\n  25 -> 39 [size =\"33796096\"]\n  26 [size=\"70920192\", alpha=\"0.12\", expect_size=\"35460096\"] \n  26 -> 27 [size =\"35460096\"]\n  26 -> 30 [size =\"35460096\"]\n  26 -> 31 [size =\"35460096\"]\n  26 -> 35 [size =\"35460096\"]\n  26 -> 36 [size =\"35460096\"]\n  26 -> 38 [size =\"35460096\"]\n  26 -> 39 [size =\"35460096\"]\n  27 [size=\"39124992\", alpha=\"0.14\", expect_size=\"19562496\"] \n  27 -> 42 [size =\"19562496\"]\n  27 -> 43 [size =\"19562496\"]\n  27 -> 44 [size =\"19562496\"]\n  28 [size=\"79599616\", alpha=\"0.10\", expect_size=\"39799808\"] \n  28 -> 42 [size =\"39799808\"]\n  29 [size=\"44896256\", alpha=\"0.13\", expect_size=\"22448128\"] \n  29 -> 42 [size =\"22448128\"]\n  29 -> 43 [size =\"22448128\"]\n  30 [size=\"47058944\", alpha=\"0.10\", expect_size=\"23529472\"] \n  30 -> 40 [size =\"23529472\"]\n  30 -> 42 [size =\"23529472\"]\n  30 -> 43 [size =\"23529472\"]\n  30 -> 44 [size =\"23529472\"]\n  31 [size=\"19236864\", alpha=\"0.17\", expect_size=\"9618432\"] \n  31 -> 42 [size =\"9618432\"]\n  31 -> 43 [size =\"9618432\"]\n  31 -> 44 [size =\"9618432\"]\n  32 [size=\"57927680\", alpha=\"0.12\", expect_size=\"28963840\"] \n  32 -> 40 [size =\"28963840\"]\n  32 -> 42 [size =\"28963840\"]\n  32 -> 43 [size =\"28963840\"]\n  32 -> 44 [size =\"28963840\"]\n  33 [size=\"62724096\", alpha=\"0.10\", expect_size=\"31362048\"] \n  33 -> 42 [size =\"31362048\"]\n  33 -> 43 [size =\"31362048\"]\n  33 -> 43 [size =\"31362048\"]\n  33 -> 44 [size =\"31362048\"]\n  34 [size=\"83312640\", alpha=\"0.14\", expect_size=\"41656320\"] \n  34 -> 44 [size =\"41656320\"]\n  35 [size=\"102164480\", alpha=\"0.15\", expect_size=\"51082240\"] \n  35 -> 40 [size =\"51082240\"]\n  35 -> 44 [size =\"51082240\"]\n  35 -> 45 [size =\"51082240\"]\n  36 [size=\"56557568\", alpha=\"0.15\", expect_size=\"28278784\"] \n  36 -> 41 [size =\"28278784\"]\n  36 -> 42 [size =\"28278784\"]\n  36 -> 43 [size =\"28278784\"]\n  36 -> 44 [size =\"28278784\"]\n  36 -> 45 [size =\"28278784\"]\n  37 [size=\"17496064\", alpha=\"0.08\", expect_size=\"8748032\"] \n  37 -> 40 [size =\"8748032\"]\n  37 -> 41 [size =\"8748032\"]\n  37 -> 42 [size =\"8748032\"]\n  37 -> 43 [size =\"8748032\"]\n  37 -> 45 [size =\"8748032\"]\n  38 [size=\"83687424\", alpha=\"0.18\", expect_size=\"41843712\"] \n  38 -> 40 [size =\"41843712\"]\n  38 -> 43 [size =\"41843712\"]\n  38 -> 44 [size =\"41843712\"]\n  38 -> 45 [size =\"41843712\"]\n  38 -> 45 [size =\"41843712\"]\n  39 [size=\"36476928\", alpha=\"0.16\", expect_size=\"18238464\"] \n  39 -> 42 [size =\"18238464\"]\n  39 -> 44 [size =\"18238464\"]\n  39 -> 44 [size =\"18238464\"]\n  39 -> 45 [size =\"18238464\"]\n  40 [size=\"98648064\", alpha=\"0.08\", expect_size=\"49324032\"] \n  41 [size=\"52103168\", alpha=\"0.05\", expect_size=\"26051584\"] \n  42 [size=\"36499456\", alpha=\"0.13\", expect_size=\"18249728\"] \n  43 [size=\"94238720\", alpha=\"0.19\", expect_size=\"47119360\"] \n  44 [size=\"46829568\", alpha=\"0.16\", expect_size=\"23414784\"] \n  45 [size=\"20422656\", alpha=\"0.06\", expect_size=\"10211328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145742507\", alpha=\"0.03\", expect_size=\"43722752\"] \n  1 -> 30 [size =\"43722752\"]\n  1 -> 31 [size =\"43722752\"]\n  1 -> 33 [size =\"43722752\"]\n  1 -> 42 [size =\"43722752\"]\n  2 [size=\"159921493\", alpha=\"0.07\", expect_size=\"47976448\"] \n  2 -> 29 [size =\"47976448\"]\n  2 -> 31 [size =\"47976448\"]\n  2 -> 33 [size =\"47976448\"]\n  2 -> 34 [size =\"47976448\"]\n  2 -> 35 [size =\"47976448\"]\n  2 -> 39 [size =\"47976448\"]\n  2 -> 44 [size =\"47976448\"]\n  3 [size=\"49513813\", alpha=\"0.19\", expect_size=\"14854144\"] \n  3 -> 29 [size =\"14854144\"]\n  3 -> 30 [size =\"14854144\"]\n  3 -> 33 [size =\"14854144\"]\n  3 -> 34 [size =\"14854144\"]\n  3 -> 39 [size =\"14854144\"]\n  3 -> 40 [size =\"14854144\"]\n  3 -> 41 [size =\"14854144\"]\n  4 [size=\"119186773\", alpha=\"0.17\", expect_size=\"35756032\"] \n  4 -> 29 [size =\"35756032\"]\n  4 -> 30 [size =\"35756032\"]\n  4 -> 31 [size =\"35756032\"]\n  4 -> 32 [size =\"35756032\"]\n  4 -> 33 [size =\"35756032\"]\n  4 -> 34 [size =\"35756032\"]\n  4 -> 35 [size =\"35756032\"]\n  4 -> 39 [size =\"35756032\"]\n  4 -> 43 [size =\"35756032\"]\n  5 [size=\"44219733\", alpha=\"0.04\", expect_size=\"13265920\"] \n  5 -> 30 [size =\"13265920\"]\n  5 -> 33 [size =\"13265920\"]\n  5 -> 39 [size =\"13265920\"]\n  5 -> 40 [size =\"13265920\"]\n  6 [size=\"43591680\", alpha=\"0.12\", expect_size=\"13077504\"] \n  6 -> 29 [size =\"13077504\"]\n  6 -> 30 [size =\"13077504\"]\n  6 -> 33 [size =\"13077504\"]\n  6 -> 39 [size =\"13077504\"]\n  6 -> 43 [size =\"13077504\"]\n  6 -> 45 [size =\"13077504\"]\n  7 [size=\"148578987\", alpha=\"0.15\", expect_size=\"44573696\"] \n  7 -> 30 [size =\"44573696\"]\n  7 -> 33 [size =\"44573696\"]\n  7 -> 33 [size =\"44573696\"]\n  7 -> 34 [size =\"44573696\"]\n  7 -> 35 [size =\"44573696\"]\n  7 -> 39 [size =\"44573696\"]\n  7 -> 43 [size =\"44573696\"]\n  7 -> 44 [size =\"44573696\"]\n  8 [size=\"36706987\", alpha=\"0.10\", expect_size=\"11012096\"] \n  8 -> 29 [size =\"11012096\"]\n  8 -> 35 [size =\"11012096\"]\n  8 -> 39 [size =\"11012096\"]\n  9 [size=\"144469333\", alpha=\"0.14\", expect_size=\"43340800\"] \n  9 -> 29 [size =\"43340800\"]\n  9 -> 30 [size =\"43340800\"]\n  9 -> 31 [size =\"43340800\"]\n  9 -> 32 [size =\"43340800\"]\n  9 -> 38 [size =\"43340800\"]\n  9 -> 39 [size =\"43340800\"]\n  10 [size=\"36952747\", alpha=\"0.15\", expect_size=\"11085824\"] \n  10 -> 39 [size =\"11085824\"]\n  10 -> 43 [size =\"11085824\"]\n  11 [size=\"60187307\", alpha=\"0.01\", expect_size=\"18056192\"] \n  11 -> 35 [size =\"18056192\"]\n  11 -> 39 [size =\"18056192\"]\n  11 -> 40 [size =\"18056192\"]\n  11 -> 43 [size =\"18056192\"]\n  12 [size=\"81005227\", alpha=\"0.16\", expect_size=\"24301568\"] \n  12 -> 30 [size =\"24301568\"]\n  12 -> 31 [size =\"24301568\"]\n  12 -> 32 [size =\"24301568\"]\n  12 -> 34 [size =\"24301568\"]\n  12 -> 35 [size =\"24301568\"]\n  12 -> 39 [size =\"24301568\"]\n  12 -> 40 [size =\"24301568\"]\n  12 -> 43 [size =\"24301568\"]\n  13 [size=\"132662613\", alpha=\"0.03\", expect_size=\"39798784\"] \n  13 -> 30 [size =\"39798784\"]\n  13 -> 32 [size =\"39798784\"]\n  13 -> 34 [size =\"39798784\"]\n  13 -> 36 [size =\"39798784\"]\n  13 -> 39 [size =\"39798784\"]\n  13 -> 40 [size =\"39798784\"]\n  13 -> 43 [size =\"39798784\"]\n  14 [size=\"125088427\", alpha=\"0.07\", expect_size=\"37526528\"] \n  14 -> 29 [size =\"37526528\"]\n  14 -> 30 [size =\"37526528\"]\n  14 -> 31 [size =\"37526528\"]\n  14 -> 33 [size =\"37526528\"]\n  14 -> 34 [size =\"37526528\"]\n  14 -> 38 [size =\"37526528\"]\n  14 -> 39 [size =\"37526528\"]\n  14 -> 43 [size =\"37526528\"]\n  15 [size=\"98300587\", alpha=\"0.03\", expect_size=\"29490176\"] \n  15 -> 29 [size =\"29490176\"]\n  15 -> 30 [size =\"29490176\"]\n  15 -> 33 [size =\"29490176\"]\n  15 -> 34 [size =\"29490176\"]\n  15 -> 39 [size =\"29490176\"]\n  15 -> 43 [size =\"29490176\"]\n  16 [size=\"131426987\", alpha=\"0.11\", expect_size=\"39428096\"] \n  16 -> 29 [size =\"39428096\"]\n  16 -> 30 [size =\"39428096\"]\n  16 -> 32 [size =\"39428096\"]\n  16 -> 33 [size =\"39428096\"]\n  16 -> 41 [size =\"39428096\"]\n  16 -> 43 [size =\"39428096\"]\n  16 -> 44 [size =\"39428096\"]\n  17 [size=\"71758507\", alpha=\"0.12\", expect_size=\"21527552\"] \n  17 -> 28 [size =\"21527552\"]\n  17 -> 31 [size =\"21527552\"]\n  17 -> 33 [size =\"21527552\"]\n  17 -> 33 [size =\"21527552\"]\n  17 -> 34 [size =\"21527552\"]\n  17 -> 35 [size =\"21527552\"]\n  17 -> 38 [size =\"21527552\"]\n  17 -> 42 [size =\"21527552\"]\n  17 -> 43 [size =\"21527552\"]\n  18 [size=\"30679040\", alpha=\"0.08\", expect_size=\"9203712\"] \n  18 -> 29 [size =\"9203712\"]\n  18 -> 30 [size =\"9203712\"]\n  18 -> 31 [size =\"9203712\"]\n  18 -> 32 [size =\"9203712\"]\n  18 -> 34 [size =\"9203712\"]\n  18 -> 35 [size =\"9203712\"]\n  18 -> 39 [size =\"9203712\"]\n  18 -> 40 [size =\"9203712\"]\n  18 -> 41 [size =\"9203712\"]\n  18 -> 43 [size =\"9203712\"]\n  19 [size=\"111138133\", alpha=\"0.14\", expect_size=\"33341440\"] \n  19 -> 29 [size =\"33341440\"]\n  19 -> 32 [size =\"33341440\"]\n  19 -> 35 [size =\"33341440\"]\n  19 -> 36 [size =\"33341440\"]\n  19 -> 39 [size =\"33341440\"]\n  19 -> 42 [size =\"33341440\"]\n  19 -> 43 [size =\"33341440\"]\n  20 [size=\"60986027\", alpha=\"0.02\", expect_size=\"18295808\"] \n  20 -> 29 [size =\"18295808\"]\n  20 -> 35 [size =\"18295808\"]\n  20 -> 35 [size =\"18295808\"]\n  20 -> 36 [size =\"18295808\"]\n  20 -> 39 [size =\"18295808\"]\n  21 [size=\"23896747\", alpha=\"0.06\", expect_size=\"7169024\"] \n  21 -> 29 [size =\"7169024\"]\n  21 -> 30 [size =\"7169024\"]\n  21 -> 33 [size =\"7169024\"]\n  21 -> 35 [size =\"7169024\"]\n  21 -> 44 [size =\"7169024\"]\n  22 [size=\"30429867\", alpha=\"0.08\", expect_size=\"9128960\"] \n  22 -> 29 [size =\"9128960\"]\n  22 -> 31 [size =\"9128960\"]\n  22 -> 35 [size =\"9128960\"]\n  22 -> 40 [size =\"9128960\"]\n  23 [size=\"156883627\", alpha=\"0.14\", expect_size=\"47065088\"] \n  23 -> 29 [size =\"47065088\"]\n  23 -> 30 [size =\"47065088\"]\n  23 -> 40 [size =\"47065088\"]\n  24 [size=\"24647680\", alpha=\"0.14\", expect_size=\"7394304\"] \n  24 -> 29 [size =\"7394304\"]\n  24 -> 35 [size =\"7394304\"]\n  24 -> 42 [size =\"7394304\"]\n  24 -> 44 [size =\"7394304\"]\n  25 [size=\"81797120\", alpha=\"0.16\", expect_size=\"24539136\"] \n  25 -> 33 [size =\"24539136\"]\n  25 -> 34 [size =\"24539136\"]\n  25 -> 35 [size =\"24539136\"]\n  25 -> 39 [size =\"24539136\"]\n  25 -> 43 [size =\"24539136\"]\n  25 -> 44 [size =\"24539136\"]\n  26 [size=\"105482240\", alpha=\"0.02\", expect_size=\"31644672\"] \n  26 -> 29 [size =\"31644672\"]\n  26 -> 33 [size =\"31644672\"]\n  26 -> 35 [size =\"31644672\"]\n  26 -> 36 [size =\"31644672\"]\n  27 [size=\"34310827\", alpha=\"0.05\", expect_size=\"10293248\"] \n  27 -> 29 [size =\"10293248\"]\n  27 -> 31 [size =\"10293248\"]\n  27 -> 35 [size =\"10293248\"]\n  27 -> 37 [size =\"10293248\"]\n  27 -> 39 [size =\"10293248\"]\n  28 [size=\"126037333\", alpha=\"0.10\", expect_size=\"37811200\"] \n  29 [size=\"29842773\", alpha=\"0.11\", expect_size=\"8952832\"] \n  30 [size=\"139390293\", alpha=\"0.15\", expect_size=\"41817088\"] \n  31 [size=\"152920747\", alpha=\"0.04\", expect_size=\"45876224\"] \n  32 [size=\"41420800\", alpha=\"0.01\", expect_size=\"12426240\"] \n  33 [size=\"104618667\", alpha=\"0.13\", expect_size=\"31385600\"] \n  34 [size=\"59985920\", alpha=\"0.18\", expect_size=\"17995776\"] \n  35 [size=\"166516053\", alpha=\"0.14\", expect_size=\"49954816\"] \n  36 [size=\"136376320\", alpha=\"0.04\", expect_size=\"40912896\"] \n  37 [size=\"152975360\", alpha=\"0.02\", expect_size=\"45892608\"] \n  38 [size=\"32839680\", alpha=\"0.01\", expect_size=\"9851904\"] \n  39 [size=\"109776213\", alpha=\"0.11\", expect_size=\"32932864\"] \n  40 [size=\"38922240\", alpha=\"0.08\", expect_size=\"11676672\"] \n  41 [size=\"154327040\", alpha=\"0.05\", expect_size=\"46298112\"] \n  42 [size=\"26842453\", alpha=\"0.04\", expect_size=\"8052736\"] \n  43 [size=\"34573653\", alpha=\"0.00\", expect_size=\"10372096\"] \n  44 [size=\"135420587\", alpha=\"0.17\", expect_size=\"40626176\"] \n  45 [size=\"122426027\", alpha=\"0.03\", expect_size=\"36727808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125006507\", alpha=\"0.19\", expect_size=\"37501952\"] \n  1 -> 5 [size =\"37501952\"]\n  2 [size=\"169362773\", alpha=\"0.03\", expect_size=\"50808832\"] \n  2 -> 4 [size =\"50808832\"]\n  3 [size=\"151169707\", alpha=\"0.09\", expect_size=\"45350912\"] \n  3 -> 5 [size =\"45350912\"]\n  4 [size=\"129187840\", alpha=\"0.07\", expect_size=\"38756352\"] \n  4 -> 7 [size =\"38756352\"]\n  5 [size=\"132659200\", alpha=\"0.03\", expect_size=\"39797760\"] \n  5 -> 6 [size =\"39797760\"]\n  5 -> 8 [size =\"39797760\"]\n  5 -> 9 [size =\"39797760\"]\n  6 [size=\"49442133\", alpha=\"0.11\", expect_size=\"14832640\"] \n  6 -> 10 [size =\"14832640\"]\n  6 -> 11 [size =\"14832640\"]\n  7 [size=\"48974507\", alpha=\"0.01\", expect_size=\"14692352\"] \n  7 -> 11 [size =\"14692352\"]\n  8 [size=\"114169173\", alpha=\"0.11\", expect_size=\"34250752\"] \n  9 [size=\"30194347\", alpha=\"0.11\", expect_size=\"9058304\"] \n  10 [size=\"18817707\", alpha=\"0.15\", expect_size=\"5645312\"] \n  10 -> 15 [size =\"5645312\"]\n  11 [size=\"108035413\", alpha=\"0.11\", expect_size=\"32410624\"] \n  11 -> 12 [size =\"32410624\"]\n  11 -> 13 [size =\"32410624\"]\n  11 -> 14 [size =\"32410624\"]\n  12 [size=\"98027520\", alpha=\"0.03\", expect_size=\"29408256\"] \n  12 -> 16 [size =\"29408256\"]\n  12 -> 17 [size =\"29408256\"]\n  13 [size=\"119237973\", alpha=\"0.08\", expect_size=\"35771392\"] \n  13 -> 18 [size =\"35771392\"]\n  14 [size=\"34065067\", alpha=\"0.12\", expect_size=\"10219520\"] \n  14 -> 17 [size =\"10219520\"]\n  14 -> 19 [size =\"10219520\"]\n  15 [size=\"89412267\", alpha=\"0.14\", expect_size=\"26823680\"] \n  15 -> 18 [size =\"26823680\"]\n  16 [size=\"112752640\", alpha=\"0.14\", expect_size=\"33825792\"] \n  17 [size=\"43830613\", alpha=\"0.11\", expect_size=\"13149184\"] \n  18 [size=\"50302293\", alpha=\"0.14\", expect_size=\"15090688\"] \n  18 -> 20 [size =\"15090688\"]\n  18 -> 21 [size =\"15090688\"]\n  19 [size=\"138294613\", alpha=\"0.07\", expect_size=\"41488384\"] \n  20 [size=\"68819627\", alpha=\"0.02\", expect_size=\"20645888\"] \n  21 [size=\"30310400\", alpha=\"0.11\", expect_size=\"9093120\"] \n  21 -> 22 [size =\"9093120\"]\n  21 -> 23 [size =\"9093120\"]\n  22 [size=\"113172480\", alpha=\"0.19\", expect_size=\"33951744\"] \n  22 -> 24 [size =\"33951744\"]\n  23 [size=\"137826987\", alpha=\"0.05\", expect_size=\"41348096\"] \n  23 -> 25 [size =\"41348096\"]\n  24 [size=\"44079787\", alpha=\"0.04\", expect_size=\"13223936\"] \n  24 -> 26 [size =\"13223936\"]\n  24 -> 28 [size =\"13223936\"]\n  25 [size=\"135645867\", alpha=\"0.18\", expect_size=\"40693760\"] \n  25 -> 27 [size =\"40693760\"]\n  26 [size=\"85097813\", alpha=\"0.17\", expect_size=\"25529344\"] \n  26 -> 29 [size =\"25529344\"]\n  26 -> 30 [size =\"25529344\"]\n  27 [size=\"36457813\", alpha=\"0.19\", expect_size=\"10937344\"] \n  28 [size=\"122047147\", alpha=\"0.13\", expect_size=\"36614144\"] \n  28 -> 29 [size =\"36614144\"]\n  28 -> 30 [size =\"36614144\"]\n  29 [size=\"75690667\", alpha=\"0.10\", expect_size=\"22707200\"] \n  29 -> 31 [size =\"22707200\"]\n  29 -> 32 [size =\"22707200\"]\n  30 [size=\"127378773\", alpha=\"0.06\", expect_size=\"38213632\"] \n  31 [size=\"142452053\", alpha=\"0.14\", expect_size=\"42735616\"] \n  31 -> 33 [size =\"42735616\"]\n  31 -> 35 [size =\"42735616\"]\n  31 -> 36 [size =\"42735616\"]\n  32 [size=\"71150933\", alpha=\"0.12\", expect_size=\"21345280\"] \n  32 -> 34 [size =\"21345280\"]\n  33 [size=\"65365333\", alpha=\"0.03\", expect_size=\"19609600\"] \n  33 -> 37 [size =\"19609600\"]\n  33 -> 39 [size =\"19609600\"]\n  34 [size=\"101505707\", alpha=\"0.16\", expect_size=\"30451712\"] \n  35 [size=\"133997227\", alpha=\"0.18\", expect_size=\"40199168\"] \n  35 -> 38 [size =\"40199168\"]\n  35 -> 40 [size =\"40199168\"]\n  36 [size=\"120736427\", alpha=\"0.13\", expect_size=\"36220928\"] \n  36 -> 37 [size =\"36220928\"]\n  36 -> 38 [size =\"36220928\"]\n  36 -> 40 [size =\"36220928\"]\n  37 [size=\"93692587\", alpha=\"0.10\", expect_size=\"28107776\"] \n  38 [size=\"84370773\", alpha=\"0.12\", expect_size=\"25311232\"] \n  38 -> 41 [size =\"25311232\"]\n  39 [size=\"32170667\", alpha=\"0.10\", expect_size=\"9651200\"] \n  39 -> 41 [size =\"9651200\"]\n  40 [size=\"107106987\", alpha=\"0.13\", expect_size=\"32132096\"] \n  41 [size=\"153234773\", alpha=\"0.19\", expect_size=\"45970432\"] \n  41 -> 42 [size =\"45970432\"]\n  41 -> 43 [size =\"45970432\"]\n  42 [size=\"103830187\", alpha=\"0.17\", expect_size=\"31149056\"] \n  42 -> 44 [size =\"31149056\"]\n  43 [size=\"39437653\", alpha=\"0.10\", expect_size=\"11831296\"] \n  43 -> 45 [size =\"11831296\"]\n  44 [size=\"61829120\", alpha=\"0.06\", expect_size=\"18548736\"] \n  45 [size=\"30303573\", alpha=\"0.17\", expect_size=\"9091072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63899648\", alpha=\"0.19\", expect_size=\"31949824\"] \n  1 -> 6 [size =\"31949824\"]\n  1 -> 7 [size =\"31949824\"]\n  2 [size=\"89749504\", alpha=\"0.03\", expect_size=\"44874752\"] \n  2 -> 7 [size =\"44874752\"]\n  3 [size=\"60428288\", alpha=\"0.19\", expect_size=\"30214144\"] \n  3 -> 5 [size =\"30214144\"]\n  4 [size=\"97331200\", alpha=\"0.06\", expect_size=\"48665600\"] \n  5 [size=\"33710080\", alpha=\"0.03\", expect_size=\"16855040\"] \n  5 -> 8 [size =\"16855040\"]\n  5 -> 9 [size =\"16855040\"]\n  6 [size=\"50360320\", alpha=\"0.17\", expect_size=\"25180160\"] \n  6 -> 10 [size =\"25180160\"]\n  7 [size=\"33323008\", alpha=\"0.03\", expect_size=\"16661504\"] \n  8 [size=\"80398336\", alpha=\"0.09\", expect_size=\"40199168\"] \n  8 -> 11 [size =\"40199168\"]\n  8 -> 12 [size =\"40199168\"]\n  8 -> 13 [size =\"40199168\"]\n  9 [size=\"53813248\", alpha=\"0.09\", expect_size=\"26906624\"] \n  9 -> 14 [size =\"26906624\"]\n  10 [size=\"48248832\", alpha=\"0.00\", expect_size=\"24124416\"] \n  10 -> 11 [size =\"24124416\"]\n  10 -> 13 [size =\"24124416\"]\n  11 [size=\"11472896\", alpha=\"0.12\", expect_size=\"5736448\"] \n  11 -> 15 [size =\"5736448\"]\n  11 -> 16 [size =\"5736448\"]\n  12 [size=\"102686720\", alpha=\"0.00\", expect_size=\"51343360\"] \n  12 -> 16 [size =\"51343360\"]\n  13 [size=\"24442880\", alpha=\"0.05\", expect_size=\"12221440\"] \n  14 [size=\"19642368\", alpha=\"0.13\", expect_size=\"9821184\"] \n  15 [size=\"50071552\", alpha=\"0.05\", expect_size=\"25035776\"] \n  16 [size=\"64538624\", alpha=\"0.14\", expect_size=\"32269312\"] \n  16 -> 17 [size =\"32269312\"]\n  16 -> 18 [size =\"32269312\"]\n  17 [size=\"51257344\", alpha=\"0.01\", expect_size=\"25628672\"] \n  18 [size=\"65728512\", alpha=\"0.19\", expect_size=\"32864256\"] \n  18 -> 19 [size =\"32864256\"]\n  18 -> 20 [size =\"32864256\"]\n  18 -> 21 [size =\"32864256\"]\n  19 [size=\"13529088\", alpha=\"0.12\", expect_size=\"6764544\"] \n  19 -> 22 [size =\"6764544\"]\n  20 [size=\"54493184\", alpha=\"0.20\", expect_size=\"27246592\"] \n  20 -> 23 [size =\"27246592\"]\n  21 [size=\"55281664\", alpha=\"0.18\", expect_size=\"27640832\"] \n  21 -> 23 [size =\"27640832\"]\n  22 [size=\"18468864\", alpha=\"0.13\", expect_size=\"9234432\"] \n  22 -> 24 [size =\"9234432\"]\n  22 -> 25 [size =\"9234432\"]\n  22 -> 26 [size =\"9234432\"]\n  23 [size=\"20291584\", alpha=\"0.19\", expect_size=\"10145792\"] \n  24 [size=\"43665408\", alpha=\"0.04\", expect_size=\"21832704\"] \n  24 -> 27 [size =\"21832704\"]\n  24 -> 29 [size =\"21832704\"]\n  25 [size=\"102766592\", alpha=\"0.13\", expect_size=\"51383296\"] \n  25 -> 27 [size =\"51383296\"]\n  25 -> 28 [size =\"51383296\"]\n  25 -> 29 [size =\"51383296\"]\n  26 [size=\"30517248\", alpha=\"0.11\", expect_size=\"15258624\"] \n  26 -> 28 [size =\"15258624\"]\n  27 [size=\"97521664\", alpha=\"0.13\", expect_size=\"48760832\"] \n  27 -> 33 [size =\"48760832\"]\n  28 [size=\"102647808\", alpha=\"0.11\", expect_size=\"51323904\"] \n  28 -> 31 [size =\"51323904\"]\n  28 -> 32 [size =\"51323904\"]\n  29 [size=\"98412544\", alpha=\"0.17\", expect_size=\"49206272\"] \n  29 -> 30 [size =\"49206272\"]\n  29 -> 31 [size =\"49206272\"]\n  29 -> 33 [size =\"49206272\"]\n  30 [size=\"62662656\", alpha=\"0.12\", expect_size=\"31331328\"] \n  30 -> 36 [size =\"31331328\"]\n  30 -> 37 [size =\"31331328\"]\n  31 [size=\"60942336\", alpha=\"0.06\", expect_size=\"30471168\"] \n  31 -> 34 [size =\"30471168\"]\n  31 -> 35 [size =\"30471168\"]\n  32 [size=\"52293632\", alpha=\"0.01\", expect_size=\"26146816\"] \n  32 -> 35 [size =\"26146816\"]\n  32 -> 37 [size =\"26146816\"]\n  33 [size=\"21606400\", alpha=\"0.18\", expect_size=\"10803200\"] \n  33 -> 36 [size =\"10803200\"]\n  34 [size=\"18825216\", alpha=\"0.17\", expect_size=\"9412608\"] \n  34 -> 40 [size =\"9412608\"]\n  35 [size=\"36425728\", alpha=\"0.05\", expect_size=\"18212864\"] \n  35 -> 38 [size =\"18212864\"]\n  35 -> 39 [size =\"18212864\"]\n  36 [size=\"97634304\", alpha=\"0.04\", expect_size=\"48817152\"] \n  36 -> 38 [size =\"48817152\"]\n  36 -> 40 [size =\"48817152\"]\n  37 [size=\"53579776\", alpha=\"0.11\", expect_size=\"26789888\"] \n  38 [size=\"21477376\", alpha=\"0.11\", expect_size=\"10738688\"] \n  38 -> 42 [size =\"10738688\"]\n  38 -> 43 [size =\"10738688\"]\n  39 [size=\"71241728\", alpha=\"0.11\", expect_size=\"35620864\"] \n  39 -> 41 [size =\"35620864\"]\n  40 [size=\"57452544\", alpha=\"0.00\", expect_size=\"28726272\"] \n  41 [size=\"17879040\", alpha=\"0.19\", expect_size=\"8939520\"] \n  41 -> 44 [size =\"8939520\"]\n  42 [size=\"47874048\", alpha=\"0.19\", expect_size=\"23937024\"] \n  42 -> 45 [size =\"23937024\"]\n  43 [size=\"50900992\", alpha=\"0.02\", expect_size=\"25450496\"] \n  43 -> 44 [size =\"25450496\"]\n  44 [size=\"40916992\", alpha=\"0.12\", expect_size=\"20458496\"] \n  45 [size=\"27074560\", alpha=\"0.01\", expect_size=\"13537280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95832064\", alpha=\"0.09\", expect_size=\"47916032\"] \n  2 [size=\"43390976\", alpha=\"0.03\", expect_size=\"21695488\"] \n  2 -> 4 [size =\"21695488\"]\n  3 [size=\"88938496\", alpha=\"0.17\", expect_size=\"44469248\"] \n  3 -> 4 [size =\"44469248\"]\n  3 -> 5 [size =\"44469248\"]\n  3 -> 6 [size =\"44469248\"]\n  4 [size=\"48635904\", alpha=\"0.06\", expect_size=\"24317952\"] \n  4 -> 8 [size =\"24317952\"]\n  5 [size=\"43634688\", alpha=\"0.01\", expect_size=\"21817344\"] \n  5 -> 7 [size =\"21817344\"]\n  5 -> 9 [size =\"21817344\"]\n  6 [size=\"28014592\", alpha=\"0.04\", expect_size=\"14007296\"] \n  6 -> 8 [size =\"14007296\"]\n  6 -> 9 [size =\"14007296\"]\n  7 [size=\"41807872\", alpha=\"0.07\", expect_size=\"20903936\"] \n  7 -> 12 [size =\"20903936\"]\n  8 [size=\"44386304\", alpha=\"0.15\", expect_size=\"22193152\"] \n  8 -> 11 [size =\"22193152\"]\n  9 [size=\"82905088\", alpha=\"0.17\", expect_size=\"41452544\"] \n  9 -> 10 [size =\"41452544\"]\n  10 [size=\"31623168\", alpha=\"0.13\", expect_size=\"15811584\"] \n  10 -> 13 [size =\"15811584\"]\n  10 -> 14 [size =\"15811584\"]\n  11 [size=\"72550400\", alpha=\"0.11\", expect_size=\"36275200\"] \n  12 [size=\"21477376\", alpha=\"0.02\", expect_size=\"10738688\"] \n  12 -> 14 [size =\"10738688\"]\n  12 -> 15 [size =\"10738688\"]\n  13 [size=\"33665024\", alpha=\"0.11\", expect_size=\"16832512\"] \n  13 -> 16 [size =\"16832512\"]\n  13 -> 17 [size =\"16832512\"]\n  14 [size=\"20107264\", alpha=\"0.14\", expect_size=\"10053632\"] \n  15 [size=\"48277504\", alpha=\"0.15\", expect_size=\"24138752\"] \n  15 -> 17 [size =\"24138752\"]\n  16 [size=\"51159040\", alpha=\"0.08\", expect_size=\"25579520\"] \n  16 -> 18 [size =\"25579520\"]\n  16 -> 19 [size =\"25579520\"]\n  17 [size=\"69767168\", alpha=\"0.05\", expect_size=\"34883584\"] \n  18 [size=\"101666816\", alpha=\"0.12\", expect_size=\"50833408\"] \n  18 -> 20 [size =\"50833408\"]\n  19 [size=\"80121856\", alpha=\"0.04\", expect_size=\"40060928\"] \n  19 -> 21 [size =\"40060928\"]\n  20 [size=\"67360768\", alpha=\"0.19\", expect_size=\"33680384\"] \n  20 -> 22 [size =\"33680384\"]\n  21 [size=\"32747520\", alpha=\"0.12\", expect_size=\"16373760\"] \n  21 -> 23 [size =\"16373760\"]\n  22 [size=\"82917376\", alpha=\"0.12\", expect_size=\"41458688\"] \n  22 -> 25 [size =\"41458688\"]\n  23 [size=\"92928000\", alpha=\"0.09\", expect_size=\"46464000\"] \n  23 -> 24 [size =\"46464000\"]\n  24 [size=\"52500480\", alpha=\"0.14\", expect_size=\"26250240\"] \n  24 -> 26 [size =\"26250240\"]\n  24 -> 27 [size =\"26250240\"]\n  24 -> 28 [size =\"26250240\"]\n  25 [size=\"22523904\", alpha=\"0.05\", expect_size=\"11261952\"] \n  26 [size=\"92444672\", alpha=\"0.01\", expect_size=\"46222336\"] \n  26 -> 30 [size =\"46222336\"]\n  27 [size=\"35710976\", alpha=\"0.03\", expect_size=\"17855488\"] \n  27 -> 29 [size =\"17855488\"]\n  27 -> 30 [size =\"17855488\"]\n  28 [size=\"58284032\", alpha=\"0.12\", expect_size=\"29142016\"] \n  29 [size=\"20535296\", alpha=\"0.17\", expect_size=\"10267648\"] \n  29 -> 31 [size =\"10267648\"]\n  29 -> 32 [size =\"10267648\"]\n  30 [size=\"39073792\", alpha=\"0.06\", expect_size=\"19536896\"] \n  31 [size=\"34050048\", alpha=\"0.09\", expect_size=\"17025024\"] \n  32 [size=\"90816512\", alpha=\"0.13\", expect_size=\"45408256\"] \n  32 -> 33 [size =\"45408256\"]\n  32 -> 34 [size =\"45408256\"]\n  33 [size=\"53530624\", alpha=\"0.03\", expect_size=\"26765312\"] \n  33 -> 35 [size =\"26765312\"]\n  33 -> 36 [size =\"26765312\"]\n  34 [size=\"95021056\", alpha=\"0.14\", expect_size=\"47510528\"] \n  35 [size=\"64696320\", alpha=\"0.14\", expect_size=\"32348160\"] \n  36 [size=\"90075136\", alpha=\"0.02\", expect_size=\"45037568\"] \n  36 -> 37 [size =\"45037568\"]\n  36 -> 38 [size =\"45037568\"]\n  37 [size=\"94314496\", alpha=\"0.03\", expect_size=\"47157248\"] \n  37 -> 40 [size =\"47157248\"]\n  38 [size=\"14370816\", alpha=\"0.03\", expect_size=\"7185408\"] \n  38 -> 39 [size =\"7185408\"]\n  39 [size=\"72884224\", alpha=\"0.18\", expect_size=\"36442112\"] \n  39 -> 43 [size =\"36442112\"]\n  40 [size=\"59162624\", alpha=\"0.05\", expect_size=\"29581312\"] \n  40 -> 41 [size =\"29581312\"]\n  40 -> 42 [size =\"29581312\"]\n  41 [size=\"88715264\", alpha=\"0.17\", expect_size=\"44357632\"] \n  41 -> 45 [size =\"44357632\"]\n  42 [size=\"34867200\", alpha=\"0.04\", expect_size=\"17433600\"] \n  42 -> 45 [size =\"17433600\"]\n  43 [size=\"97353728\", alpha=\"0.08\", expect_size=\"48676864\"] \n  43 -> 44 [size =\"48676864\"]\n  44 [size=\"16240640\", alpha=\"0.02\", expect_size=\"8120320\"] \n  45 [size=\"84264960\", alpha=\"0.17\", expect_size=\"42132480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133362347\", alpha=\"0.02\", expect_size=\"40008704\"] \n  1 -> 4 [size =\"40008704\"]\n  1 -> 5 [size =\"40008704\"]\n  1 -> 6 [size =\"40008704\"]\n  2 [size=\"59057493\", alpha=\"0.02\", expect_size=\"17717248\"] \n  2 -> 5 [size =\"17717248\"]\n  3 [size=\"64911360\", alpha=\"0.15\", expect_size=\"19473408\"] \n  3 -> 4 [size =\"19473408\"]\n  3 -> 6 [size =\"19473408\"]\n  4 [size=\"112295253\", alpha=\"0.01\", expect_size=\"33688576\"] \n  4 -> 7 [size =\"33688576\"]\n  4 -> 9 [size =\"33688576\"]\n  5 [size=\"59753813\", alpha=\"0.18\", expect_size=\"17926144\"] \n  5 -> 8 [size =\"17926144\"]\n  5 -> 10 [size =\"17926144\"]\n  6 [size=\"56197120\", alpha=\"0.00\", expect_size=\"16859136\"] \n  6 -> 7 [size =\"16859136\"]\n  6 -> 8 [size =\"16859136\"]\n  6 -> 10 [size =\"16859136\"]\n  7 [size=\"114629973\", alpha=\"0.15\", expect_size=\"34388992\"] \n  7 -> 11 [size =\"34388992\"]\n  7 -> 13 [size =\"34388992\"]\n  7 -> 14 [size =\"34388992\"]\n  8 [size=\"67563520\", alpha=\"0.01\", expect_size=\"20269056\"] \n  9 [size=\"101515947\", alpha=\"0.02\", expect_size=\"30454784\"] \n  9 -> 12 [size =\"30454784\"]\n  10 [size=\"161634987\", alpha=\"0.08\", expect_size=\"48490496\"] \n  10 -> 12 [size =\"48490496\"]\n  10 -> 13 [size =\"48490496\"]\n  10 -> 14 [size =\"48490496\"]\n  11 [size=\"55965013\", alpha=\"0.20\", expect_size=\"16789504\"] \n  12 [size=\"68130133\", alpha=\"0.06\", expect_size=\"20439040\"] \n  12 -> 18 [size =\"20439040\"]\n  13 [size=\"84005547\", alpha=\"0.14\", expect_size=\"25201664\"] \n  13 -> 15 [size =\"25201664\"]\n  13 -> 17 [size =\"25201664\"]\n  14 [size=\"46735360\", alpha=\"0.10\", expect_size=\"14020608\"] \n  14 -> 16 [size =\"14020608\"]\n  15 [size=\"54599680\", alpha=\"0.00\", expect_size=\"16379904\"] \n  15 -> 19 [size =\"16379904\"]\n  16 [size=\"37594453\", alpha=\"0.11\", expect_size=\"11278336\"] \n  16 -> 19 [size =\"11278336\"]\n  17 [size=\"38488747\", alpha=\"0.06\", expect_size=\"11546624\"] \n  18 [size=\"158692693\", alpha=\"0.03\", expect_size=\"47607808\"] \n  19 [size=\"163379200\", alpha=\"0.17\", expect_size=\"49013760\"] \n  19 -> 20 [size =\"49013760\"]\n  19 -> 21 [size =\"49013760\"]\n  20 [size=\"24313173\", alpha=\"0.11\", expect_size=\"7293952\"] \n  21 [size=\"91074560\", alpha=\"0.20\", expect_size=\"27322368\"] \n  21 -> 22 [size =\"27322368\"]\n  21 -> 23 [size =\"27322368\"]\n  22 [size=\"88159573\", alpha=\"0.14\", expect_size=\"26447872\"] \n  22 -> 25 [size =\"26447872\"]\n  22 -> 26 [size =\"26447872\"]\n  23 [size=\"137639253\", alpha=\"0.14\", expect_size=\"41291776\"] \n  23 -> 24 [size =\"41291776\"]\n  24 [size=\"93453653\", alpha=\"0.06\", expect_size=\"28036096\"] \n  24 -> 27 [size =\"28036096\"]\n  24 -> 28 [size =\"28036096\"]\n  24 -> 29 [size =\"28036096\"]\n  25 [size=\"168997547\", alpha=\"0.04\", expect_size=\"50699264\"] \n  25 -> 27 [size =\"50699264\"]\n  25 -> 29 [size =\"50699264\"]\n  26 [size=\"172045653\", alpha=\"0.06\", expect_size=\"51613696\"] \n  27 [size=\"98170880\", alpha=\"0.01\", expect_size=\"29451264\"] \n  27 -> 30 [size =\"29451264\"]\n  28 [size=\"148322987\", alpha=\"0.02\", expect_size=\"44496896\"] \n  29 [size=\"172325547\", alpha=\"0.14\", expect_size=\"51697664\"] \n  30 [size=\"145923413\", alpha=\"0.04\", expect_size=\"43777024\"] \n  30 -> 31 [size =\"43777024\"]\n  30 -> 32 [size =\"43777024\"]\n  31 [size=\"73007787\", alpha=\"0.19\", expect_size=\"21902336\"] \n  31 -> 34 [size =\"21902336\"]\n  32 [size=\"69468160\", alpha=\"0.01\", expect_size=\"20840448\"] \n  32 -> 33 [size =\"20840448\"]\n  33 [size=\"19602773\", alpha=\"0.11\", expect_size=\"5880832\"] \n  33 -> 35 [size =\"5880832\"]\n  33 -> 37 [size =\"5880832\"]\n  34 [size=\"128136533\", alpha=\"0.05\", expect_size=\"38440960\"] \n  34 -> 36 [size =\"38440960\"]\n  34 -> 38 [size =\"38440960\"]\n  35 [size=\"18025813\", alpha=\"0.03\", expect_size=\"5407744\"] \n  36 [size=\"46124373\", alpha=\"0.04\", expect_size=\"13837312\"] \n  37 [size=\"93863253\", alpha=\"0.08\", expect_size=\"28158976\"] \n  37 -> 39 [size =\"28158976\"]\n  38 [size=\"101113173\", alpha=\"0.10\", expect_size=\"30333952\"] \n  39 [size=\"117961387\", alpha=\"0.10\", expect_size=\"35388416\"] \n  39 -> 40 [size =\"35388416\"]\n  39 -> 41 [size =\"35388416\"]\n  40 [size=\"71161173\", alpha=\"0.11\", expect_size=\"21348352\"] \n  41 [size=\"104878080\", alpha=\"0.01\", expect_size=\"31463424\"] \n  41 -> 42 [size =\"31463424\"]\n  42 [size=\"100311040\", alpha=\"0.01\", expect_size=\"30093312\"] \n  42 -> 43 [size =\"30093312\"]\n  42 -> 44 [size =\"30093312\"]\n  43 [size=\"108117333\", alpha=\"0.16\", expect_size=\"32435200\"] \n  44 [size=\"37546667\", alpha=\"0.20\", expect_size=\"11264000\"] \n  44 -> 45 [size =\"11264000\"]\n  45 [size=\"75137707\", alpha=\"0.04\", expect_size=\"22541312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36789760\", alpha=\"0.04\", expect_size=\"14715904\"] \n  1 -> 5 [size =\"14715904\"]\n  2 [size=\"92085760\", alpha=\"0.11\", expect_size=\"36834304\"] \n  2 -> 5 [size =\"36834304\"]\n  2 -> 6 [size =\"36834304\"]\n  2 -> 7 [size =\"36834304\"]\n  3 [size=\"17927680\", alpha=\"0.16\", expect_size=\"7171072\"] \n  3 -> 6 [size =\"7171072\"]\n  3 -> 7 [size =\"7171072\"]\n  4 [size=\"87569920\", alpha=\"0.17\", expect_size=\"35027968\"] \n  5 [size=\"43187200\", alpha=\"0.09\", expect_size=\"17274880\"] \n  5 -> 9 [size =\"17274880\"]\n  5 -> 10 [size =\"17274880\"]\n  5 -> 11 [size =\"17274880\"]\n  6 [size=\"36354560\", alpha=\"0.06\", expect_size=\"14541824\"] \n  6 -> 10 [size =\"14541824\"]\n  7 [size=\"42181120\", alpha=\"0.13\", expect_size=\"16872448\"] \n  7 -> 8 [size =\"16872448\"]\n  7 -> 9 [size =\"16872448\"]\n  8 [size=\"25937920\", alpha=\"0.04\", expect_size=\"10375168\"] \n  8 -> 12 [size =\"10375168\"]\n  9 [size=\"35466240\", alpha=\"0.13\", expect_size=\"14186496\"] \n  9 -> 12 [size =\"14186496\"]\n  10 [size=\"42429440\", alpha=\"0.11\", expect_size=\"16971776\"] \n  11 [size=\"21777920\", alpha=\"0.01\", expect_size=\"8711168\"] \n  12 [size=\"43852800\", alpha=\"0.15\", expect_size=\"17541120\"] \n  12 -> 13 [size =\"17541120\"]\n  12 -> 14 [size =\"17541120\"]\n  12 -> 15 [size =\"17541120\"]\n  12 -> 16 [size =\"17541120\"]\n  13 [size=\"109665280\", alpha=\"0.09\", expect_size=\"43866112\"] \n  14 [size=\"86438400\", alpha=\"0.05\", expect_size=\"34575360\"] \n  14 -> 17 [size =\"34575360\"]\n  15 [size=\"70374400\", alpha=\"0.17\", expect_size=\"28149760\"] \n  15 -> 17 [size =\"28149760\"]\n  16 [size=\"124976640\", alpha=\"0.12\", expect_size=\"49990656\"] \n  17 [size=\"42017280\", alpha=\"0.19\", expect_size=\"16806912\"] \n  17 -> 18 [size =\"16806912\"]\n  17 -> 19 [size =\"16806912\"]\n  17 -> 20 [size =\"16806912\"]\n  18 [size=\"119546880\", alpha=\"0.13\", expect_size=\"47818752\"] \n  19 [size=\"26677760\", alpha=\"0.17\", expect_size=\"10671104\"] \n  19 -> 21 [size =\"10671104\"]\n  19 -> 22 [size =\"10671104\"]\n  20 [size=\"103557120\", alpha=\"0.07\", expect_size=\"41422848\"] \n  20 -> 22 [size =\"41422848\"]\n  21 [size=\"47795200\", alpha=\"0.01\", expect_size=\"19118080\"] \n  21 -> 24 [size =\"19118080\"]\n  22 [size=\"56407040\", alpha=\"0.09\", expect_size=\"22562816\"] \n  22 -> 23 [size =\"22562816\"]\n  22 -> 24 [size =\"22562816\"]\n  22 -> 25 [size =\"22562816\"]\n  22 -> 26 [size =\"22562816\"]\n  23 [size=\"24007680\", alpha=\"0.17\", expect_size=\"9603072\"] \n  24 [size=\"78794240\", alpha=\"0.18\", expect_size=\"31517696\"] \n  25 [size=\"105582080\", alpha=\"0.04\", expect_size=\"42232832\"] \n  25 -> 28 [size =\"42232832\"]\n  26 [size=\"89948160\", alpha=\"0.14\", expect_size=\"35979264\"] \n  26 -> 27 [size =\"35979264\"]\n  26 -> 28 [size =\"35979264\"]\n  27 [size=\"45068800\", alpha=\"0.08\", expect_size=\"18027520\"] \n  27 -> 30 [size =\"18027520\"]\n  28 [size=\"40130560\", alpha=\"0.05\", expect_size=\"16052224\"] \n  28 -> 29 [size =\"16052224\"]\n  28 -> 30 [size =\"16052224\"]\n  28 -> 31 [size =\"16052224\"]\n  29 [size=\"117813760\", alpha=\"0.06\", expect_size=\"47125504\"] \n  30 [size=\"102179840\", alpha=\"0.12\", expect_size=\"40871936\"] \n  30 -> 32 [size =\"40871936\"]\n  31 [size=\"27412480\", alpha=\"0.19\", expect_size=\"10964992\"] \n  31 -> 32 [size =\"10964992\"]\n  32 [size=\"35164160\", alpha=\"0.11\", expect_size=\"14065664\"] \n  32 -> 33 [size =\"14065664\"]\n  32 -> 34 [size =\"14065664\"]\n  32 -> 35 [size =\"14065664\"]\n  33 [size=\"86451200\", alpha=\"0.00\", expect_size=\"34580480\"] \n  33 -> 36 [size =\"34580480\"]\n  34 [size=\"68124160\", alpha=\"0.01\", expect_size=\"27249664\"] \n  35 [size=\"54650880\", alpha=\"0.12\", expect_size=\"21860352\"] \n  35 -> 37 [size =\"21860352\"]\n  36 [size=\"76111360\", alpha=\"0.02\", expect_size=\"30444544\"] \n  36 -> 38 [size =\"30444544\"]\n  37 [size=\"37785600\", alpha=\"0.17\", expect_size=\"15114240\"] \n  38 [size=\"86714880\", alpha=\"0.10\", expect_size=\"34685952\"] \n  38 -> 39 [size =\"34685952\"]\n  38 -> 40 [size =\"34685952\"]\n  39 [size=\"117765120\", alpha=\"0.05\", expect_size=\"47106048\"] \n  39 -> 41 [size =\"47106048\"]\n  39 -> 43 [size =\"47106048\"]\n  39 -> 44 [size =\"47106048\"]\n  40 [size=\"35330560\", alpha=\"0.15\", expect_size=\"14132224\"] \n  40 -> 41 [size =\"14132224\"]\n  40 -> 42 [size =\"14132224\"]\n  40 -> 44 [size =\"14132224\"]\n  41 [size=\"104668160\", alpha=\"0.12\", expect_size=\"41867264\"] \n  42 [size=\"98521600\", alpha=\"0.16\", expect_size=\"39408640\"] \n  42 -> 45 [size =\"39408640\"]\n  43 [size=\"47631360\", alpha=\"0.01\", expect_size=\"19052544\"] \n  43 -> 45 [size =\"19052544\"]\n  44 [size=\"48560640\", alpha=\"0.18\", expect_size=\"19424256\"] \n  45 [size=\"56678400\", alpha=\"0.10\", expect_size=\"22671360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80437248\", alpha=\"0.11\", expect_size=\"40218624\"] \n  1 -> 2 [size =\"40218624\"]\n  2 [size=\"47185920\", alpha=\"0.18\", expect_size=\"23592960\"] \n  2 -> 3 [size =\"23592960\"]\n  3 [size=\"52021248\", alpha=\"0.02\", expect_size=\"26010624\"] \n  3 -> 4 [size =\"26010624\"]\n  4 [size=\"91381760\", alpha=\"0.05\", expect_size=\"45690880\"] \n  4 -> 5 [size =\"45690880\"]\n  5 [size=\"77891584\", alpha=\"0.10\", expect_size=\"38945792\"] \n  5 -> 6 [size =\"38945792\"]\n  6 [size=\"25065472\", alpha=\"0.08\", expect_size=\"12532736\"] \n  6 -> 7 [size =\"12532736\"]\n  7 [size=\"82366464\", alpha=\"0.00\", expect_size=\"41183232\"] \n  7 -> 8 [size =\"41183232\"]\n  8 [size=\"93163520\", alpha=\"0.01\", expect_size=\"46581760\"] \n  8 -> 9 [size =\"46581760\"]\n  9 [size=\"41625600\", alpha=\"0.07\", expect_size=\"20812800\"] \n  9 -> 10 [size =\"20812800\"]\n  10 [size=\"47427584\", alpha=\"0.03\", expect_size=\"23713792\"] \n  10 -> 11 [size =\"23713792\"]\n  11 [size=\"72437760\", alpha=\"0.01\", expect_size=\"36218880\"] \n  11 -> 12 [size =\"36218880\"]\n  12 [size=\"30486528\", alpha=\"0.03\", expect_size=\"15243264\"] \n  12 -> 13 [size =\"15243264\"]\n  13 [size=\"22792192\", alpha=\"0.18\", expect_size=\"11396096\"] \n  13 -> 14 [size =\"11396096\"]\n  14 [size=\"31692800\", alpha=\"0.07\", expect_size=\"15846400\"] \n  14 -> 15 [size =\"15846400\"]\n  15 [size=\"54427648\", alpha=\"0.18\", expect_size=\"27213824\"] \n  15 -> 16 [size =\"27213824\"]\n  16 [size=\"99604480\", alpha=\"0.16\", expect_size=\"49802240\"] \n  16 -> 17 [size =\"49802240\"]\n  17 [size=\"41814016\", alpha=\"0.10\", expect_size=\"20907008\"] \n  17 -> 18 [size =\"20907008\"]\n  18 [size=\"42782720\", alpha=\"0.03\", expect_size=\"21391360\"] \n  18 -> 19 [size =\"21391360\"]\n  19 [size=\"45234176\", alpha=\"0.12\", expect_size=\"22617088\"] \n  19 -> 20 [size =\"22617088\"]\n  20 [size=\"76208128\", alpha=\"0.06\", expect_size=\"38104064\"] \n  20 -> 21 [size =\"38104064\"]\n  21 [size=\"90068992\", alpha=\"0.15\", expect_size=\"45034496\"] \n  21 -> 22 [size =\"45034496\"]\n  22 [size=\"95219712\", alpha=\"0.11\", expect_size=\"47609856\"] \n  22 -> 23 [size =\"47609856\"]\n  23 [size=\"13144064\", alpha=\"0.17\", expect_size=\"6572032\"] \n  23 -> 24 [size =\"6572032\"]\n  24 [size=\"97857536\", alpha=\"0.19\", expect_size=\"48928768\"] \n  24 -> 25 [size =\"48928768\"]\n  25 [size=\"36954112\", alpha=\"0.16\", expect_size=\"18477056\"] \n  25 -> 26 [size =\"18477056\"]\n  26 [size=\"29495296\", alpha=\"0.15\", expect_size=\"14747648\"] \n  26 -> 27 [size =\"14747648\"]\n  27 [size=\"12750848\", alpha=\"0.10\", expect_size=\"6375424\"] \n  27 -> 28 [size =\"6375424\"]\n  28 [size=\"61300736\", alpha=\"0.03\", expect_size=\"30650368\"] \n  28 -> 29 [size =\"30650368\"]\n  29 [size=\"75433984\", alpha=\"0.02\", expect_size=\"37716992\"] \n  29 -> 30 [size =\"37716992\"]\n  30 [size=\"39393280\", alpha=\"0.09\", expect_size=\"19696640\"] \n  30 -> 31 [size =\"19696640\"]\n  31 [size=\"68644864\", alpha=\"0.09\", expect_size=\"34322432\"] \n  31 -> 32 [size =\"34322432\"]\n  32 [size=\"44398592\", alpha=\"0.13\", expect_size=\"22199296\"] \n  32 -> 33 [size =\"22199296\"]\n  33 [size=\"97728512\", alpha=\"0.00\", expect_size=\"48864256\"] \n  33 -> 34 [size =\"48864256\"]\n  34 [size=\"81428480\", alpha=\"0.12\", expect_size=\"40714240\"] \n  34 -> 35 [size =\"40714240\"]\n  35 [size=\"76394496\", alpha=\"0.12\", expect_size=\"38197248\"] \n  35 -> 36 [size =\"38197248\"]\n  36 [size=\"55660544\", alpha=\"0.12\", expect_size=\"27830272\"] \n  36 -> 37 [size =\"27830272\"]\n  37 [size=\"33810432\", alpha=\"0.18\", expect_size=\"16905216\"] \n  37 -> 38 [size =\"16905216\"]\n  38 [size=\"82724864\", alpha=\"0.11\", expect_size=\"41362432\"] \n  38 -> 39 [size =\"41362432\"]\n  39 [size=\"96342016\", alpha=\"0.12\", expect_size=\"48171008\"] \n  39 -> 40 [size =\"48171008\"]\n  40 [size=\"11425792\", alpha=\"0.06\", expect_size=\"5712896\"] \n  40 -> 41 [size =\"5712896\"]\n  41 [size=\"53667840\", alpha=\"0.18\", expect_size=\"26833920\"] \n  41 -> 42 [size =\"26833920\"]\n  42 [size=\"96272384\", alpha=\"0.07\", expect_size=\"48136192\"] \n  42 -> 43 [size =\"48136192\"]\n  43 [size=\"64874496\", alpha=\"0.17\", expect_size=\"32437248\"] \n  43 -> 44 [size =\"32437248\"]\n  44 [size=\"66150400\", alpha=\"0.05\", expect_size=\"33075200\"] \n  44 -> 45 [size =\"33075200\"]\n  45 [size=\"26937344\", alpha=\"0.19\", expect_size=\"13468672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47690240\", alpha=\"0.07\", expect_size=\"19076096\"] \n  1 -> 6 [size =\"19076096\"]\n  1 -> 7 [size =\"19076096\"]\n  1 -> 8 [size =\"19076096\"]\n  2 [size=\"62976000\", alpha=\"0.19\", expect_size=\"25190400\"] \n  2 -> 6 [size =\"25190400\"]\n  2 -> 7 [size =\"25190400\"]\n  3 [size=\"53824000\", alpha=\"0.15\", expect_size=\"21529600\"] \n  3 -> 6 [size =\"21529600\"]\n  3 -> 7 [size =\"21529600\"]\n  4 [size=\"110492160\", alpha=\"0.10\", expect_size=\"44196864\"] \n  4 -> 6 [size =\"44196864\"]\n  4 -> 7 [size =\"44196864\"]\n  4 -> 8 [size =\"44196864\"]\n  4 -> 9 [size =\"44196864\"]\n  5 [size=\"73881600\", alpha=\"0.13\", expect_size=\"29552640\"] \n  5 -> 6 [size =\"29552640\"]\n  5 -> 7 [size =\"29552640\"]\n  5 -> 8 [size =\"29552640\"]\n  5 -> 9 [size =\"29552640\"]\n  6 [size=\"79772160\", alpha=\"0.12\", expect_size=\"31908864\"] \n  6 -> 10 [size =\"31908864\"]\n  6 -> 11 [size =\"31908864\"]\n  6 -> 12 [size =\"31908864\"]\n  6 -> 13 [size =\"31908864\"]\n  6 -> 15 [size =\"31908864\"]\n  7 [size=\"105088000\", alpha=\"0.16\", expect_size=\"42035200\"] \n  7 -> 11 [size =\"42035200\"]\n  7 -> 13 [size =\"42035200\"]\n  7 -> 14 [size =\"42035200\"]\n  7 -> 15 [size =\"42035200\"]\n  8 [size=\"16440320\", alpha=\"0.19\", expect_size=\"6576128\"] \n  8 -> 10 [size =\"6576128\"]\n  8 -> 13 [size =\"6576128\"]\n  8 -> 14 [size =\"6576128\"]\n  8 -> 15 [size =\"6576128\"]\n  9 [size=\"107233280\", alpha=\"0.11\", expect_size=\"42893312\"] \n  9 -> 10 [size =\"42893312\"]\n  9 -> 12 [size =\"42893312\"]\n  9 -> 14 [size =\"42893312\"]\n  9 -> 15 [size =\"42893312\"]\n  10 [size=\"45498880\", alpha=\"0.13\", expect_size=\"18199552\"] \n  10 -> 19 [size =\"18199552\"]\n  11 [size=\"130521600\", alpha=\"0.07\", expect_size=\"52208640\"] \n  11 -> 16 [size =\"52208640\"]\n  11 -> 17 [size =\"52208640\"]\n  11 -> 19 [size =\"52208640\"]\n  12 [size=\"54970880\", alpha=\"0.17\", expect_size=\"21988352\"] \n  12 -> 16 [size =\"21988352\"]\n  12 -> 17 [size =\"21988352\"]\n  12 -> 18 [size =\"21988352\"]\n  13 [size=\"50775040\", alpha=\"0.14\", expect_size=\"20310016\"] \n  13 -> 17 [size =\"20310016\"]\n  13 -> 17 [size =\"20310016\"]\n  13 -> 18 [size =\"20310016\"]\n  13 -> 19 [size =\"20310016\"]\n  14 [size=\"18880000\", alpha=\"0.11\", expect_size=\"7552000\"] \n  14 -> 16 [size =\"7552000\"]\n  14 -> 17 [size =\"7552000\"]\n  14 -> 18 [size =\"7552000\"]\n  14 -> 19 [size =\"7552000\"]\n  15 [size=\"75599360\", alpha=\"0.09\", expect_size=\"30239744\"] \n  15 -> 16 [size =\"30239744\"]\n  15 -> 19 [size =\"30239744\"]\n  16 [size=\"32906240\", alpha=\"0.19\", expect_size=\"13162496\"] \n  16 -> 23 [size =\"13162496\"]\n  16 -> 25 [size =\"13162496\"]\n  17 [size=\"104696320\", alpha=\"0.15\", expect_size=\"41878528\"] \n  17 -> 25 [size =\"41878528\"]\n  18 [size=\"82818560\", alpha=\"0.17\", expect_size=\"33127424\"] \n  18 -> 20 [size =\"33127424\"]\n  18 -> 22 [size =\"33127424\"]\n  18 -> 24 [size =\"33127424\"]\n  18 -> 25 [size =\"33127424\"]\n  19 [size=\"77852160\", alpha=\"0.02\", expect_size=\"31140864\"] \n  19 -> 20 [size =\"31140864\"]\n  19 -> 21 [size =\"31140864\"]\n  19 -> 23 [size =\"31140864\"]\n  19 -> 24 [size =\"31140864\"]\n  19 -> 25 [size =\"31140864\"]\n  20 [size=\"26764800\", alpha=\"0.18\", expect_size=\"10705920\"] \n  20 -> 26 [size =\"10705920\"]\n  20 -> 27 [size =\"10705920\"]\n  20 -> 28 [size =\"10705920\"]\n  20 -> 30 [size =\"10705920\"]\n  21 [size=\"106245120\", alpha=\"0.20\", expect_size=\"42498048\"] \n  22 [size=\"27786240\", alpha=\"0.10\", expect_size=\"11114496\"] \n  22 -> 29 [size =\"11114496\"]\n  23 [size=\"127508480\", alpha=\"0.07\", expect_size=\"51003392\"] \n  23 -> 27 [size =\"51003392\"]\n  23 -> 29 [size =\"51003392\"]\n  24 [size=\"94617600\", alpha=\"0.01\", expect_size=\"37847040\"] \n  24 -> 30 [size =\"37847040\"]\n  25 [size=\"41584640\", alpha=\"0.05\", expect_size=\"16633856\"] \n  25 -> 26 [size =\"16633856\"]\n  25 -> 27 [size =\"16633856\"]\n  25 -> 28 [size =\"16633856\"]\n  25 -> 30 [size =\"16633856\"]\n  26 [size=\"93230080\", alpha=\"0.20\", expect_size=\"37292032\"] \n  26 -> 32 [size =\"37292032\"]\n  26 -> 35 [size =\"37292032\"]\n  26 -> 36 [size =\"37292032\"]\n  27 [size=\"87831040\", alpha=\"0.11\", expect_size=\"35132416\"] \n  27 -> 34 [size =\"35132416\"]\n  27 -> 35 [size =\"35132416\"]\n  27 -> 36 [size =\"35132416\"]\n  28 [size=\"57210880\", alpha=\"0.02\", expect_size=\"22884352\"] \n  28 -> 32 [size =\"22884352\"]\n  28 -> 34 [size =\"22884352\"]\n  28 -> 35 [size =\"22884352\"]\n  28 -> 36 [size =\"22884352\"]\n  29 [size=\"39168000\", alpha=\"0.10\", expect_size=\"15667200\"] \n  29 -> 35 [size =\"15667200\"]\n  30 [size=\"49423360\", alpha=\"0.03\", expect_size=\"19769344\"] \n  30 -> 31 [size =\"19769344\"]\n  30 -> 33 [size =\"19769344\"]\n  30 -> 34 [size =\"19769344\"]\n  30 -> 35 [size =\"19769344\"]\n  31 [size=\"35834880\", alpha=\"0.15\", expect_size=\"14333952\"] \n  31 -> 39 [size =\"14333952\"]\n  31 -> 40 [size =\"14333952\"]\n  32 [size=\"32985600\", alpha=\"0.15\", expect_size=\"13194240\"] \n  32 -> 39 [size =\"13194240\"]\n  32 -> 40 [size =\"13194240\"]\n  33 [size=\"90744320\", alpha=\"0.02\", expect_size=\"36297728\"] \n  33 -> 38 [size =\"36297728\"]\n  33 -> 39 [size =\"36297728\"]\n  34 [size=\"13900800\", alpha=\"0.09\", expect_size=\"5560320\"] \n  34 -> 39 [size =\"5560320\"]\n  34 -> 39 [size =\"5560320\"]\n  34 -> 40 [size =\"5560320\"]\n  35 [size=\"17804800\", alpha=\"0.07\", expect_size=\"7121920\"] \n  35 -> 40 [size =\"7121920\"]\n  36 [size=\"45268480\", alpha=\"0.08\", expect_size=\"18107392\"] \n  36 -> 37 [size =\"18107392\"]\n  36 -> 39 [size =\"18107392\"]\n  36 -> 40 [size =\"18107392\"]\n  37 [size=\"44989440\", alpha=\"0.05\", expect_size=\"17995776\"] \n  37 -> 41 [size =\"17995776\"]\n  37 -> 45 [size =\"17995776\"]\n  38 [size=\"108951040\", alpha=\"0.13\", expect_size=\"43580416\"] \n  38 -> 41 [size =\"43580416\"]\n  38 -> 44 [size =\"43580416\"]\n  38 -> 45 [size =\"43580416\"]\n  39 [size=\"122524160\", alpha=\"0.13\", expect_size=\"49009664\"] \n  39 -> 41 [size =\"49009664\"]\n  39 -> 44 [size =\"49009664\"]\n  39 -> 45 [size =\"49009664\"]\n  40 [size=\"61867520\", alpha=\"0.15\", expect_size=\"24747008\"] \n  40 -> 41 [size =\"24747008\"]\n  40 -> 42 [size =\"24747008\"]\n  40 -> 43 [size =\"24747008\"]\n  40 -> 44 [size =\"24747008\"]\n  40 -> 45 [size =\"24747008\"]\n  41 [size=\"77340160\", alpha=\"0.12\", expect_size=\"30936064\"] \n  42 [size=\"50429440\", alpha=\"0.13\", expect_size=\"20171776\"] \n  43 [size=\"22996480\", alpha=\"0.12\", expect_size=\"9198592\"] \n  44 [size=\"32711680\", alpha=\"0.06\", expect_size=\"13084672\"] \n  45 [size=\"85350400\", alpha=\"0.04\", expect_size=\"34140160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19927040\", alpha=\"0.14\", expect_size=\"9963520\"] \n  1 -> 2 [size =\"9963520\"]\n  2 [size=\"92930048\", alpha=\"0.07\", expect_size=\"46465024\"] \n  2 -> 3 [size =\"46465024\"]\n  3 [size=\"59299840\", alpha=\"0.04\", expect_size=\"29649920\"] \n  3 -> 4 [size =\"29649920\"]\n  4 [size=\"97198080\", alpha=\"0.03\", expect_size=\"48599040\"] \n  4 -> 5 [size =\"48599040\"]\n  5 [size=\"55021568\", alpha=\"0.13\", expect_size=\"27510784\"] \n  5 -> 6 [size =\"27510784\"]\n  6 [size=\"52330496\", alpha=\"0.04\", expect_size=\"26165248\"] \n  6 -> 7 [size =\"26165248\"]\n  7 [size=\"47247360\", alpha=\"0.11\", expect_size=\"23623680\"] \n  7 -> 8 [size =\"23623680\"]\n  8 [size=\"40570880\", alpha=\"0.13\", expect_size=\"20285440\"] \n  8 -> 9 [size =\"20285440\"]\n  9 [size=\"53151744\", alpha=\"0.14\", expect_size=\"26575872\"] \n  9 -> 10 [size =\"26575872\"]\n  10 [size=\"36343808\", alpha=\"0.01\", expect_size=\"18171904\"] \n  10 -> 11 [size =\"18171904\"]\n  11 [size=\"31254528\", alpha=\"0.02\", expect_size=\"15627264\"] \n  11 -> 12 [size =\"15627264\"]\n  12 [size=\"97062912\", alpha=\"0.19\", expect_size=\"48531456\"] \n  12 -> 13 [size =\"48531456\"]\n  13 [size=\"37128192\", alpha=\"0.18\", expect_size=\"18564096\"] \n  13 -> 14 [size =\"18564096\"]\n  14 [size=\"53696512\", alpha=\"0.19\", expect_size=\"26848256\"] \n  14 -> 15 [size =\"26848256\"]\n  15 [size=\"69916672\", alpha=\"0.03\", expect_size=\"34958336\"] \n  15 -> 16 [size =\"34958336\"]\n  16 [size=\"38662144\", alpha=\"0.03\", expect_size=\"19331072\"] \n  16 -> 17 [size =\"19331072\"]\n  17 [size=\"58310656\", alpha=\"0.07\", expect_size=\"29155328\"] \n  17 -> 18 [size =\"29155328\"]\n  18 [size=\"13717504\", alpha=\"0.03\", expect_size=\"6858752\"] \n  18 -> 19 [size =\"6858752\"]\n  19 [size=\"73607168\", alpha=\"0.18\", expect_size=\"36803584\"] \n  19 -> 20 [size =\"36803584\"]\n  20 [size=\"46587904\", alpha=\"0.15\", expect_size=\"23293952\"] \n  20 -> 21 [size =\"23293952\"]\n  21 [size=\"49383424\", alpha=\"0.15\", expect_size=\"24691712\"] \n  21 -> 22 [size =\"24691712\"]\n  22 [size=\"61071360\", alpha=\"0.12\", expect_size=\"30535680\"] \n  22 -> 23 [size =\"30535680\"]\n  23 [size=\"56059904\", alpha=\"0.19\", expect_size=\"28029952\"] \n  23 -> 24 [size =\"28029952\"]\n  24 [size=\"47941632\", alpha=\"0.05\", expect_size=\"23970816\"] \n  24 -> 25 [size =\"23970816\"]\n  25 [size=\"41322496\", alpha=\"0.20\", expect_size=\"20661248\"] \n  25 -> 26 [size =\"20661248\"]\n  26 [size=\"55093248\", alpha=\"0.04\", expect_size=\"27546624\"] \n  26 -> 27 [size =\"27546624\"]\n  27 [size=\"69959680\", alpha=\"0.16\", expect_size=\"34979840\"] \n  27 -> 28 [size =\"34979840\"]\n  28 [size=\"102649856\", alpha=\"0.14\", expect_size=\"51324928\"] \n  28 -> 29 [size =\"51324928\"]\n  29 [size=\"21383168\", alpha=\"0.01\", expect_size=\"10691584\"] \n  29 -> 30 [size =\"10691584\"]\n  30 [size=\"104067072\", alpha=\"0.14\", expect_size=\"52033536\"] \n  30 -> 31 [size =\"52033536\"]\n  31 [size=\"80732160\", alpha=\"0.11\", expect_size=\"40366080\"] \n  31 -> 32 [size =\"40366080\"]\n  32 [size=\"55191552\", alpha=\"0.06\", expect_size=\"27595776\"] \n  32 -> 33 [size =\"27595776\"]\n  33 [size=\"15519744\", alpha=\"0.08\", expect_size=\"7759872\"] \n  33 -> 34 [size =\"7759872\"]\n  34 [size=\"10532864\", alpha=\"0.18\", expect_size=\"5266432\"] \n  34 -> 35 [size =\"5266432\"]\n  35 [size=\"32571392\", alpha=\"0.01\", expect_size=\"16285696\"] \n  35 -> 36 [size =\"16285696\"]\n  36 [size=\"31799296\", alpha=\"0.10\", expect_size=\"15899648\"] \n  36 -> 37 [size =\"15899648\"]\n  37 [size=\"50063360\", alpha=\"0.09\", expect_size=\"25031680\"] \n  37 -> 38 [size =\"25031680\"]\n  38 [size=\"29753344\", alpha=\"0.08\", expect_size=\"14876672\"] \n  38 -> 39 [size =\"14876672\"]\n  39 [size=\"95326208\", alpha=\"0.01\", expect_size=\"47663104\"] \n  39 -> 40 [size =\"47663104\"]\n  40 [size=\"100706304\", alpha=\"0.02\", expect_size=\"50353152\"] \n  40 -> 41 [size =\"50353152\"]\n  41 [size=\"71749632\", alpha=\"0.11\", expect_size=\"35874816\"] \n  41 -> 42 [size =\"35874816\"]\n  42 [size=\"29227008\", alpha=\"0.11\", expect_size=\"14613504\"] \n  42 -> 43 [size =\"14613504\"]\n  43 [size=\"59717632\", alpha=\"0.20\", expect_size=\"29858816\"] \n  43 -> 44 [size =\"29858816\"]\n  44 [size=\"95492096\", alpha=\"0.17\", expect_size=\"47746048\"] \n  44 -> 45 [size =\"47746048\"]\n  45 [size=\"85391360\", alpha=\"0.01\", expect_size=\"42695680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84416512\", alpha=\"0.17\", expect_size=\"42208256\"] \n  1 -> 27 [size =\"42208256\"]\n  2 [size=\"18702336\", alpha=\"0.04\", expect_size=\"9351168\"] \n  2 -> 18 [size =\"9351168\"]\n  2 -> 19 [size =\"9351168\"]\n  2 -> 20 [size =\"9351168\"]\n  2 -> 22 [size =\"9351168\"]\n  2 -> 23 [size =\"9351168\"]\n  2 -> 26 [size =\"9351168\"]\n  2 -> 27 [size =\"9351168\"]\n  3 [size=\"77926400\", alpha=\"0.09\", expect_size=\"38963200\"] \n  3 -> 20 [size =\"38963200\"]\n  3 -> 21 [size =\"38963200\"]\n  3 -> 27 [size =\"38963200\"]\n  4 [size=\"36608000\", alpha=\"0.13\", expect_size=\"18304000\"] \n  4 -> 15 [size =\"18304000\"]\n  4 -> 22 [size =\"18304000\"]\n  4 -> 26 [size =\"18304000\"]\n  5 [size=\"85315584\", alpha=\"0.16\", expect_size=\"42657792\"] \n  5 -> 15 [size =\"42657792\"]\n  5 -> 22 [size =\"42657792\"]\n  5 -> 27 [size =\"42657792\"]\n  6 [size=\"24590336\", alpha=\"0.01\", expect_size=\"12295168\"] \n  6 -> 17 [size =\"12295168\"]\n  6 -> 19 [size =\"12295168\"]\n  6 -> 20 [size =\"12295168\"]\n  6 -> 26 [size =\"12295168\"]\n  7 [size=\"49635328\", alpha=\"0.05\", expect_size=\"24817664\"] \n  7 -> 16 [size =\"24817664\"]\n  7 -> 17 [size =\"24817664\"]\n  7 -> 23 [size =\"24817664\"]\n  7 -> 26 [size =\"24817664\"]\n  8 [size=\"50982912\", alpha=\"0.16\", expect_size=\"25491456\"] \n  8 -> 17 [size =\"25491456\"]\n  8 -> 21 [size =\"25491456\"]\n  8 -> 22 [size =\"25491456\"]\n  8 -> 24 [size =\"25491456\"]\n  8 -> 27 [size =\"25491456\"]\n  9 [size=\"35813376\", alpha=\"0.13\", expect_size=\"17906688\"] \n  9 -> 19 [size =\"17906688\"]\n  9 -> 20 [size =\"17906688\"]\n  9 -> 22 [size =\"17906688\"]\n  9 -> 24 [size =\"17906688\"]\n  9 -> 25 [size =\"17906688\"]\n  9 -> 26 [size =\"17906688\"]\n  10 [size=\"93960192\", alpha=\"0.18\", expect_size=\"46980096\"] \n  10 -> 20 [size =\"46980096\"]\n  10 -> 21 [size =\"46980096\"]\n  10 -> 22 [size =\"46980096\"]\n  10 -> 23 [size =\"46980096\"]\n  10 -> 24 [size =\"46980096\"]\n  10 -> 26 [size =\"46980096\"]\n  10 -> 27 [size =\"46980096\"]\n  11 [size=\"22085632\", alpha=\"0.00\", expect_size=\"11042816\"] \n  11 -> 17 [size =\"11042816\"]\n  11 -> 20 [size =\"11042816\"]\n  11 -> 26 [size =\"11042816\"]\n  12 [size=\"104054784\", alpha=\"0.05\", expect_size=\"52027392\"] \n  12 -> 18 [size =\"52027392\"]\n  12 -> 21 [size =\"52027392\"]\n  12 -> 22 [size =\"52027392\"]\n  12 -> 23 [size =\"52027392\"]\n  12 -> 26 [size =\"52027392\"]\n  13 [size=\"30736384\", alpha=\"0.09\", expect_size=\"15368192\"] \n  13 -> 21 [size =\"15368192\"]\n  13 -> 27 [size =\"15368192\"]\n  14 [size=\"71987200\", alpha=\"0.17\", expect_size=\"35993600\"] \n  14 -> 17 [size =\"35993600\"]\n  14 -> 20 [size =\"35993600\"]\n  14 -> 22 [size =\"35993600\"]\n  14 -> 24 [size =\"35993600\"]\n  15 [size=\"39211008\", alpha=\"0.08\", expect_size=\"19605504\"] \n  15 -> 28 [size =\"19605504\"]\n  15 -> 33 [size =\"19605504\"]\n  16 [size=\"20615168\", alpha=\"0.06\", expect_size=\"10307584\"] \n  16 -> 28 [size =\"10307584\"]\n  16 -> 30 [size =\"10307584\"]\n  16 -> 34 [size =\"10307584\"]\n  16 -> 37 [size =\"10307584\"]\n  16 -> 39 [size =\"10307584\"]\n  16 -> 40 [size =\"10307584\"]\n  17 [size=\"25329664\", alpha=\"0.16\", expect_size=\"12664832\"] \n  17 -> 30 [size =\"12664832\"]\n  17 -> 33 [size =\"12664832\"]\n  18 [size=\"46972928\", alpha=\"0.19\", expect_size=\"23486464\"] \n  18 -> 35 [size =\"23486464\"]\n  19 [size=\"25884672\", alpha=\"0.07\", expect_size=\"12942336\"] \n  19 -> 34 [size =\"12942336\"]\n  19 -> 38 [size =\"12942336\"]\n  20 [size=\"85448704\", alpha=\"0.19\", expect_size=\"42724352\"] \n  20 -> 29 [size =\"42724352\"]\n  20 -> 30 [size =\"42724352\"]\n  20 -> 34 [size =\"42724352\"]\n  20 -> 35 [size =\"42724352\"]\n  20 -> 38 [size =\"42724352\"]\n  21 [size=\"77717504\", alpha=\"0.07\", expect_size=\"38858752\"] \n  21 -> 28 [size =\"38858752\"]\n  21 -> 30 [size =\"38858752\"]\n  21 -> 33 [size =\"38858752\"]\n  21 -> 34 [size =\"38858752\"]\n  21 -> 35 [size =\"38858752\"]\n  21 -> 36 [size =\"38858752\"]\n  21 -> 38 [size =\"38858752\"]\n  21 -> 39 [size =\"38858752\"]\n  22 [size=\"78053376\", alpha=\"0.17\", expect_size=\"39026688\"] \n  22 -> 31 [size =\"39026688\"]\n  22 -> 32 [size =\"39026688\"]\n  22 -> 33 [size =\"39026688\"]\n  22 -> 36 [size =\"39026688\"]\n  22 -> 38 [size =\"39026688\"]\n  22 -> 39 [size =\"39026688\"]\n  23 [size=\"102338560\", alpha=\"0.01\", expect_size=\"51169280\"] \n  23 -> 32 [size =\"51169280\"]\n  23 -> 33 [size =\"51169280\"]\n  23 -> 35 [size =\"51169280\"]\n  23 -> 36 [size =\"51169280\"]\n  23 -> 39 [size =\"51169280\"]\n  24 [size=\"48828416\", alpha=\"0.11\", expect_size=\"24414208\"] \n  24 -> 28 [size =\"24414208\"]\n  24 -> 30 [size =\"24414208\"]\n  24 -> 32 [size =\"24414208\"]\n  24 -> 33 [size =\"24414208\"]\n  24 -> 36 [size =\"24414208\"]\n  24 -> 39 [size =\"24414208\"]\n  25 [size=\"35930112\", alpha=\"0.16\", expect_size=\"17965056\"] \n  25 -> 32 [size =\"17965056\"]\n  25 -> 33 [size =\"17965056\"]\n  25 -> 34 [size =\"17965056\"]\n  25 -> 36 [size =\"17965056\"]\n  25 -> 38 [size =\"17965056\"]\n  26 [size=\"75905024\", alpha=\"0.04\", expect_size=\"37952512\"] \n  26 -> 31 [size =\"37952512\"]\n  26 -> 32 [size =\"37952512\"]\n  26 -> 36 [size =\"37952512\"]\n  26 -> 38 [size =\"37952512\"]\n  27 [size=\"102074368\", alpha=\"0.01\", expect_size=\"51037184\"] \n  27 -> 28 [size =\"51037184\"]\n  27 -> 30 [size =\"51037184\"]\n  27 -> 32 [size =\"51037184\"]\n  27 -> 40 [size =\"51037184\"]\n  28 [size=\"81702912\", alpha=\"0.06\", expect_size=\"40851456\"] \n  28 -> 42 [size =\"40851456\"]\n  28 -> 43 [size =\"40851456\"]\n  28 -> 44 [size =\"40851456\"]\n  29 [size=\"77662208\", alpha=\"0.17\", expect_size=\"38831104\"] \n  29 -> 41 [size =\"38831104\"]\n  29 -> 45 [size =\"38831104\"]\n  30 [size=\"17215488\", alpha=\"0.05\", expect_size=\"8607744\"] \n  30 -> 41 [size =\"8607744\"]\n  30 -> 43 [size =\"8607744\"]\n  30 -> 45 [size =\"8607744\"]\n  31 [size=\"14768128\", alpha=\"0.16\", expect_size=\"7384064\"] \n  31 -> 45 [size =\"7384064\"]\n  32 [size=\"49883136\", alpha=\"0.07\", expect_size=\"24941568\"] \n  32 -> 45 [size =\"24941568\"]\n  33 [size=\"36403200\", alpha=\"0.02\", expect_size=\"18201600\"] \n  33 -> 42 [size =\"18201600\"]\n  33 -> 43 [size =\"18201600\"]\n  33 -> 45 [size =\"18201600\"]\n  34 [size=\"41771008\", alpha=\"0.10\", expect_size=\"20885504\"] \n  34 -> 41 [size =\"20885504\"]\n  34 -> 43 [size =\"20885504\"]\n  34 -> 45 [size =\"20885504\"]\n  35 [size=\"92108800\", alpha=\"0.04\", expect_size=\"46054400\"] \n  35 -> 41 [size =\"46054400\"]\n  35 -> 42 [size =\"46054400\"]\n  35 -> 44 [size =\"46054400\"]\n  35 -> 45 [size =\"46054400\"]\n  36 [size=\"73504768\", alpha=\"0.20\", expect_size=\"36752384\"] \n  36 -> 41 [size =\"36752384\"]\n  36 -> 43 [size =\"36752384\"]\n  36 -> 44 [size =\"36752384\"]\n  37 [size=\"94435328\", alpha=\"0.19\", expect_size=\"47217664\"] \n  37 -> 41 [size =\"47217664\"]\n  37 -> 44 [size =\"47217664\"]\n  38 [size=\"99680256\", alpha=\"0.06\", expect_size=\"49840128\"] \n  38 -> 41 [size =\"49840128\"]\n  39 [size=\"35364864\", alpha=\"0.16\", expect_size=\"17682432\"] \n  39 -> 41 [size =\"17682432\"]\n  39 -> 43 [size =\"17682432\"]\n  39 -> 44 [size =\"17682432\"]\n  40 [size=\"21190656\", alpha=\"0.03\", expect_size=\"10595328\"] \n  40 -> 43 [size =\"10595328\"]\n  40 -> 44 [size =\"10595328\"]\n  40 -> 45 [size =\"10595328\"]\n  41 [size=\"46260224\", alpha=\"0.03\", expect_size=\"23130112\"] \n  42 [size=\"27801600\", alpha=\"0.18\", expect_size=\"13900800\"] \n  43 [size=\"59385856\", alpha=\"0.12\", expect_size=\"29692928\"] \n  44 [size=\"66891776\", alpha=\"0.14\", expect_size=\"33445888\"] \n  45 [size=\"17453056\", alpha=\"0.02\", expect_size=\"8726528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50776064\", alpha=\"0.00\", expect_size=\"25388032\"] \n  1 -> 26 [size =\"25388032\"]\n  1 -> 28 [size =\"25388032\"]\n  1 -> 29 [size =\"25388032\"]\n  1 -> 30 [size =\"25388032\"]\n  1 -> 35 [size =\"25388032\"]\n  1 -> 42 [size =\"25388032\"]\n  1 -> 43 [size =\"25388032\"]\n  1 -> 44 [size =\"25388032\"]\n  2 [size=\"75296768\", alpha=\"0.06\", expect_size=\"37648384\"] \n  2 -> 30 [size =\"37648384\"]\n  2 -> 38 [size =\"37648384\"]\n  2 -> 42 [size =\"37648384\"]\n  2 -> 43 [size =\"37648384\"]\n  3 [size=\"40974336\", alpha=\"0.02\", expect_size=\"20487168\"] \n  3 -> 28 [size =\"20487168\"]\n  3 -> 29 [size =\"20487168\"]\n  3 -> 30 [size =\"20487168\"]\n  3 -> 31 [size =\"20487168\"]\n  3 -> 37 [size =\"20487168\"]\n  3 -> 43 [size =\"20487168\"]\n  3 -> 44 [size =\"20487168\"]\n  4 [size=\"59947008\", alpha=\"0.07\", expect_size=\"29973504\"] \n  4 -> 24 [size =\"29973504\"]\n  4 -> 26 [size =\"29973504\"]\n  4 -> 28 [size =\"29973504\"]\n  4 -> 29 [size =\"29973504\"]\n  4 -> 30 [size =\"29973504\"]\n  4 -> 37 [size =\"29973504\"]\n  4 -> 38 [size =\"29973504\"]\n  4 -> 43 [size =\"29973504\"]\n  4 -> 44 [size =\"29973504\"]\n  5 [size=\"46254080\", alpha=\"0.10\", expect_size=\"23127040\"] \n  5 -> 24 [size =\"23127040\"]\n  5 -> 26 [size =\"23127040\"]\n  5 -> 28 [size =\"23127040\"]\n  5 -> 30 [size =\"23127040\"]\n  5 -> 31 [size =\"23127040\"]\n  5 -> 38 [size =\"23127040\"]\n  5 -> 38 [size =\"23127040\"]\n  5 -> 40 [size =\"23127040\"]\n  5 -> 42 [size =\"23127040\"]\n  6 [size=\"12830720\", alpha=\"0.15\", expect_size=\"6415360\"] \n  6 -> 26 [size =\"6415360\"]\n  6 -> 28 [size =\"6415360\"]\n  6 -> 28 [size =\"6415360\"]\n  6 -> 29 [size =\"6415360\"]\n  6 -> 31 [size =\"6415360\"]\n  6 -> 40 [size =\"6415360\"]\n  6 -> 41 [size =\"6415360\"]\n  6 -> 42 [size =\"6415360\"]\n  6 -> 44 [size =\"6415360\"]\n  7 [size=\"89432064\", alpha=\"0.10\", expect_size=\"44716032\"] \n  7 -> 23 [size =\"44716032\"]\n  7 -> 28 [size =\"44716032\"]\n  7 -> 29 [size =\"44716032\"]\n  7 -> 31 [size =\"44716032\"]\n  7 -> 33 [size =\"44716032\"]\n  7 -> 41 [size =\"44716032\"]\n  7 -> 43 [size =\"44716032\"]\n  7 -> 44 [size =\"44716032\"]\n  8 [size=\"19326976\", alpha=\"0.02\", expect_size=\"9663488\"] \n  8 -> 23 [size =\"9663488\"]\n  8 -> 27 [size =\"9663488\"]\n  8 -> 29 [size =\"9663488\"]\n  8 -> 31 [size =\"9663488\"]\n  8 -> 32 [size =\"9663488\"]\n  8 -> 35 [size =\"9663488\"]\n  8 -> 38 [size =\"9663488\"]\n  8 -> 42 [size =\"9663488\"]\n  8 -> 43 [size =\"9663488\"]\n  8 -> 44 [size =\"9663488\"]\n  9 [size=\"98816000\", alpha=\"0.10\", expect_size=\"49408000\"] \n  9 -> 23 [size =\"49408000\"]\n  9 -> 27 [size =\"49408000\"]\n  9 -> 29 [size =\"49408000\"]\n  9 -> 31 [size =\"49408000\"]\n  9 -> 35 [size =\"49408000\"]\n  9 -> 38 [size =\"49408000\"]\n  9 -> 38 [size =\"49408000\"]\n  9 -> 39 [size =\"49408000\"]\n  9 -> 42 [size =\"49408000\"]\n  9 -> 44 [size =\"49408000\"]\n  10 [size=\"55713792\", alpha=\"0.12\", expect_size=\"27856896\"] \n  10 -> 22 [size =\"27856896\"]\n  10 -> 23 [size =\"27856896\"]\n  10 -> 27 [size =\"27856896\"]\n  10 -> 28 [size =\"27856896\"]\n  10 -> 29 [size =\"27856896\"]\n  10 -> 30 [size =\"27856896\"]\n  10 -> 35 [size =\"27856896\"]\n  10 -> 42 [size =\"27856896\"]\n  10 -> 43 [size =\"27856896\"]\n  11 [size=\"100495360\", alpha=\"0.10\", expect_size=\"50247680\"] \n  11 -> 26 [size =\"50247680\"]\n  11 -> 29 [size =\"50247680\"]\n  11 -> 30 [size =\"50247680\"]\n  11 -> 31 [size =\"50247680\"]\n  11 -> 33 [size =\"50247680\"]\n  11 -> 40 [size =\"50247680\"]\n  11 -> 41 [size =\"50247680\"]\n  11 -> 43 [size =\"50247680\"]\n  11 -> 43 [size =\"50247680\"]\n  12 [size=\"101398528\", alpha=\"0.00\", expect_size=\"50699264\"] \n  12 -> 24 [size =\"50699264\"]\n  12 -> 29 [size =\"50699264\"]\n  12 -> 31 [size =\"50699264\"]\n  12 -> 41 [size =\"50699264\"]\n  13 [size=\"34088960\", alpha=\"0.01\", expect_size=\"17044480\"] \n  13 -> 26 [size =\"17044480\"]\n  13 -> 28 [size =\"17044480\"]\n  13 -> 29 [size =\"17044480\"]\n  13 -> 30 [size =\"17044480\"]\n  13 -> 31 [size =\"17044480\"]\n  13 -> 33 [size =\"17044480\"]\n  13 -> 35 [size =\"17044480\"]\n  13 -> 41 [size =\"17044480\"]\n  13 -> 43 [size =\"17044480\"]\n  13 -> 44 [size =\"17044480\"]\n  14 [size=\"42459136\", alpha=\"0.09\", expect_size=\"21229568\"] \n  14 -> 23 [size =\"21229568\"]\n  14 -> 26 [size =\"21229568\"]\n  14 -> 28 [size =\"21229568\"]\n  14 -> 30 [size =\"21229568\"]\n  14 -> 31 [size =\"21229568\"]\n  14 -> 35 [size =\"21229568\"]\n  14 -> 35 [size =\"21229568\"]\n  14 -> 38 [size =\"21229568\"]\n  14 -> 43 [size =\"21229568\"]\n  14 -> 44 [size =\"21229568\"]\n  15 [size=\"74248192\", alpha=\"0.03\", expect_size=\"37124096\"] \n  15 -> 25 [size =\"37124096\"]\n  15 -> 29 [size =\"37124096\"]\n  15 -> 31 [size =\"37124096\"]\n  15 -> 33 [size =\"37124096\"]\n  15 -> 35 [size =\"37124096\"]\n  15 -> 35 [size =\"37124096\"]\n  15 -> 36 [size =\"37124096\"]\n  15 -> 38 [size =\"37124096\"]\n  15 -> 42 [size =\"37124096\"]\n  15 -> 44 [size =\"37124096\"]\n  16 [size=\"29245440\", alpha=\"0.04\", expect_size=\"14622720\"] \n  16 -> 25 [size =\"14622720\"]\n  16 -> 30 [size =\"14622720\"]\n  16 -> 33 [size =\"14622720\"]\n  16 -> 37 [size =\"14622720\"]\n  16 -> 38 [size =\"14622720\"]\n  16 -> 40 [size =\"14622720\"]\n  16 -> 42 [size =\"14622720\"]\n  17 [size=\"100841472\", alpha=\"0.03\", expect_size=\"50420736\"] \n  17 -> 34 [size =\"50420736\"]\n  17 -> 35 [size =\"50420736\"]\n  17 -> 37 [size =\"50420736\"]\n  17 -> 38 [size =\"50420736\"]\n  17 -> 38 [size =\"50420736\"]\n  17 -> 39 [size =\"50420736\"]\n  17 -> 41 [size =\"50420736\"]\n  17 -> 44 [size =\"50420736\"]\n  18 [size=\"52817920\", alpha=\"0.05\", expect_size=\"26408960\"] \n  18 -> 29 [size =\"26408960\"]\n  18 -> 31 [size =\"26408960\"]\n  18 -> 33 [size =\"26408960\"]\n  18 -> 34 [size =\"26408960\"]\n  18 -> 35 [size =\"26408960\"]\n  18 -> 42 [size =\"26408960\"]\n  18 -> 43 [size =\"26408960\"]\n  18 -> 44 [size =\"26408960\"]\n  19 [size=\"62476288\", alpha=\"0.06\", expect_size=\"31238144\"] \n  19 -> 24 [size =\"31238144\"]\n  19 -> 26 [size =\"31238144\"]\n  19 -> 29 [size =\"31238144\"]\n  19 -> 30 [size =\"31238144\"]\n  19 -> 31 [size =\"31238144\"]\n  19 -> 37 [size =\"31238144\"]\n  19 -> 42 [size =\"31238144\"]\n  19 -> 43 [size =\"31238144\"]\n  19 -> 44 [size =\"31238144\"]\n  20 [size=\"14659584\", alpha=\"0.07\", expect_size=\"7329792\"] \n  20 -> 29 [size =\"7329792\"]\n  20 -> 30 [size =\"7329792\"]\n  20 -> 35 [size =\"7329792\"]\n  20 -> 38 [size =\"7329792\"]\n  20 -> 40 [size =\"7329792\"]\n  20 -> 42 [size =\"7329792\"]\n  21 [size=\"71841792\", alpha=\"0.17\", expect_size=\"35920896\"] \n  21 -> 23 [size =\"35920896\"]\n  21 -> 30 [size =\"35920896\"]\n  21 -> 35 [size =\"35920896\"]\n  21 -> 36 [size =\"35920896\"]\n  21 -> 38 [size =\"35920896\"]\n  21 -> 42 [size =\"35920896\"]\n  22 [size=\"23738368\", alpha=\"0.00\", expect_size=\"11869184\"] \n  22 -> 45 [size =\"11869184\"]\n  23 [size=\"24592384\", alpha=\"0.11\", expect_size=\"12296192\"] \n  23 -> 45 [size =\"12296192\"]\n  24 [size=\"28921856\", alpha=\"0.11\", expect_size=\"14460928\"] \n  25 [size=\"71727104\", alpha=\"0.19\", expect_size=\"35863552\"] \n  25 -> 45 [size =\"35863552\"]\n  26 [size=\"84971520\", alpha=\"0.08\", expect_size=\"42485760\"] \n  26 -> 45 [size =\"42485760\"]\n  27 [size=\"104099840\", alpha=\"0.13\", expect_size=\"52049920\"] \n  27 -> 45 [size =\"52049920\"]\n  28 [size=\"22777856\", alpha=\"0.00\", expect_size=\"11388928\"] \n  29 [size=\"47446016\", alpha=\"0.06\", expect_size=\"23723008\"] \n  30 [size=\"74393600\", alpha=\"0.02\", expect_size=\"37196800\"] \n  31 [size=\"13170688\", alpha=\"0.16\", expect_size=\"6585344\"] \n  31 -> 45 [size =\"6585344\"]\n  32 [size=\"92813312\", alpha=\"0.10\", expect_size=\"46406656\"] \n  32 -> 45 [size =\"46406656\"]\n  33 [size=\"95016960\", alpha=\"0.09\", expect_size=\"47508480\"] \n  33 -> 45 [size =\"47508480\"]\n  34 [size=\"50274304\", alpha=\"0.15\", expect_size=\"25137152\"] \n  34 -> 45 [size =\"25137152\"]\n  35 [size=\"102416384\", alpha=\"0.14\", expect_size=\"51208192\"] \n  35 -> 45 [size =\"51208192\"]\n  36 [size=\"98469888\", alpha=\"0.17\", expect_size=\"49234944\"] \n  36 -> 45 [size =\"49234944\"]\n  37 [size=\"40779776\", alpha=\"0.19\", expect_size=\"20389888\"] \n  38 [size=\"102668288\", alpha=\"0.11\", expect_size=\"51334144\"] \n  39 [size=\"104228864\", alpha=\"0.13\", expect_size=\"52114432\"] \n  39 -> 45 [size =\"52114432\"]\n  40 [size=\"39426048\", alpha=\"0.16\", expect_size=\"19713024\"] \n  40 -> 45 [size =\"19713024\"]\n  41 [size=\"47857664\", alpha=\"0.12\", expect_size=\"23928832\"] \n  41 -> 45 [size =\"23928832\"]\n  42 [size=\"30791680\", alpha=\"0.11\", expect_size=\"15395840\"] \n  42 -> 45 [size =\"15395840\"]\n  43 [size=\"79140864\", alpha=\"0.13\", expect_size=\"39570432\"] \n  44 [size=\"27768832\", alpha=\"0.19\", expect_size=\"13884416\"] \n  44 -> 45 [size =\"13884416\"]\n  45 [size=\"97388544\", alpha=\"0.18\", expect_size=\"48694272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27594752\", alpha=\"0.10\", expect_size=\"13797376\"] \n  1 -> 6 [size =\"13797376\"]\n  2 [size=\"24565760\", alpha=\"0.15\", expect_size=\"12282880\"] \n  2 -> 5 [size =\"12282880\"]\n  3 [size=\"27293696\", alpha=\"0.02\", expect_size=\"13646848\"] \n  3 -> 4 [size =\"13646848\"]\n  4 [size=\"72370176\", alpha=\"0.01\", expect_size=\"36185088\"] \n  5 [size=\"43513856\", alpha=\"0.11\", expect_size=\"21756928\"] \n  5 -> 8 [size =\"21756928\"]\n  6 [size=\"80373760\", alpha=\"0.14\", expect_size=\"40186880\"] \n  6 -> 7 [size =\"40186880\"]\n  7 [size=\"35588096\", alpha=\"0.18\", expect_size=\"17794048\"] \n  7 -> 10 [size =\"17794048\"]\n  8 [size=\"69842944\", alpha=\"0.02\", expect_size=\"34921472\"] \n  8 -> 9 [size =\"34921472\"]\n  9 [size=\"69613568\", alpha=\"0.20\", expect_size=\"34806784\"] \n  10 [size=\"61263872\", alpha=\"0.13\", expect_size=\"30631936\"] \n  10 -> 11 [size =\"30631936\"]\n  10 -> 12 [size =\"30631936\"]\n  11 [size=\"22257664\", alpha=\"0.02\", expect_size=\"11128832\"] \n  11 -> 14 [size =\"11128832\"]\n  11 -> 15 [size =\"11128832\"]\n  12 [size=\"69072896\", alpha=\"0.09\", expect_size=\"34536448\"] \n  12 -> 13 [size =\"34536448\"]\n  13 [size=\"45142016\", alpha=\"0.06\", expect_size=\"22571008\"] \n  13 -> 16 [size =\"22571008\"]\n  14 [size=\"53587968\", alpha=\"0.05\", expect_size=\"26793984\"] \n  14 -> 16 [size =\"26793984\"]\n  14 -> 17 [size =\"26793984\"]\n  15 [size=\"56066048\", alpha=\"0.00\", expect_size=\"28033024\"] \n  15 -> 17 [size =\"28033024\"]\n  16 [size=\"14901248\", alpha=\"0.03\", expect_size=\"7450624\"] \n  17 [size=\"82280448\", alpha=\"0.08\", expect_size=\"41140224\"] \n  17 -> 18 [size =\"41140224\"]\n  17 -> 19 [size =\"41140224\"]\n  18 [size=\"71837696\", alpha=\"0.00\", expect_size=\"35918848\"] \n  18 -> 20 [size =\"35918848\"]\n  18 -> 21 [size =\"35918848\"]\n  19 [size=\"83206144\", alpha=\"0.07\", expect_size=\"41603072\"] \n  20 [size=\"82978816\", alpha=\"0.06\", expect_size=\"41489408\"] \n  20 -> 22 [size =\"41489408\"]\n  20 -> 23 [size =\"41489408\"]\n  21 [size=\"49895424\", alpha=\"0.08\", expect_size=\"24947712\"] \n  22 [size=\"60934144\", alpha=\"0.13\", expect_size=\"30467072\"] \n  22 -> 24 [size =\"30467072\"]\n  22 -> 25 [size =\"30467072\"]\n  23 [size=\"101533696\", alpha=\"0.01\", expect_size=\"50766848\"] \n  24 [size=\"36290560\", alpha=\"0.03\", expect_size=\"18145280\"] \n  24 -> 26 [size =\"18145280\"]\n  25 [size=\"59914240\", alpha=\"0.12\", expect_size=\"29957120\"] \n  25 -> 27 [size =\"29957120\"]\n  25 -> 28 [size =\"29957120\"]\n  26 [size=\"61968384\", alpha=\"0.15\", expect_size=\"30984192\"] \n  26 -> 29 [size =\"30984192\"]\n  27 [size=\"77838336\", alpha=\"0.04\", expect_size=\"38919168\"] \n  27 -> 29 [size =\"38919168\"]\n  27 -> 30 [size =\"38919168\"]\n  27 -> 31 [size =\"38919168\"]\n  28 [size=\"21280768\", alpha=\"0.05\", expect_size=\"10640384\"] \n  29 [size=\"23214080\", alpha=\"0.19\", expect_size=\"11607040\"] \n  29 -> 33 [size =\"11607040\"]\n  30 [size=\"58497024\", alpha=\"0.04\", expect_size=\"29248512\"] \n  30 -> 34 [size =\"29248512\"]\n  31 [size=\"86067200\", alpha=\"0.11\", expect_size=\"43033600\"] \n  31 -> 32 [size =\"43033600\"]\n  31 -> 34 [size =\"43033600\"]\n  32 [size=\"28661760\", alpha=\"0.11\", expect_size=\"14330880\"] \n  32 -> 36 [size =\"14330880\"]\n  32 -> 37 [size =\"14330880\"]\n  33 [size=\"89104384\", alpha=\"0.17\", expect_size=\"44552192\"] \n  33 -> 35 [size =\"44552192\"]\n  34 [size=\"95461376\", alpha=\"0.14\", expect_size=\"47730688\"] \n  34 -> 35 [size =\"47730688\"]\n  35 [size=\"15247360\", alpha=\"0.19\", expect_size=\"7623680\"] \n  35 -> 38 [size =\"7623680\"]\n  35 -> 39 [size =\"7623680\"]\n  35 -> 40 [size =\"7623680\"]\n  36 [size=\"70234112\", alpha=\"0.06\", expect_size=\"35117056\"] \n  37 [size=\"47194112\", alpha=\"0.08\", expect_size=\"23597056\"] \n  37 -> 38 [size =\"23597056\"]\n  37 -> 40 [size =\"23597056\"]\n  38 [size=\"65607680\", alpha=\"0.03\", expect_size=\"32803840\"] \n  38 -> 41 [size =\"32803840\"]\n  39 [size=\"90458112\", alpha=\"0.13\", expect_size=\"45229056\"] \n  39 -> 42 [size =\"45229056\"]\n  40 [size=\"86505472\", alpha=\"0.18\", expect_size=\"43252736\"] \n  40 -> 43 [size =\"43252736\"]\n  41 [size=\"104527872\", alpha=\"0.12\", expect_size=\"52263936\"] \n  42 [size=\"61925376\", alpha=\"0.17\", expect_size=\"30962688\"] \n  42 -> 44 [size =\"30962688\"]\n  42 -> 45 [size =\"30962688\"]\n  43 [size=\"17287168\", alpha=\"0.01\", expect_size=\"8643584\"] \n  43 -> 45 [size =\"8643584\"]\n  44 [size=\"99641344\", alpha=\"0.11\", expect_size=\"49820672\"] \n  45 [size=\"68978688\", alpha=\"0.11\", expect_size=\"34489344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87730176\", alpha=\"0.18\", expect_size=\"43865088\"] \n  1 -> 16 [size =\"43865088\"]\n  1 -> 17 [size =\"43865088\"]\n  1 -> 19 [size =\"43865088\"]\n  1 -> 21 [size =\"43865088\"]\n  1 -> 22 [size =\"43865088\"]\n  1 -> 23 [size =\"43865088\"]\n  2 [size=\"24483840\", alpha=\"0.06\", expect_size=\"12241920\"] \n  2 -> 16 [size =\"12241920\"]\n  2 -> 17 [size =\"12241920\"]\n  2 -> 19 [size =\"12241920\"]\n  2 -> 23 [size =\"12241920\"]\n  3 [size=\"36534272\", alpha=\"0.05\", expect_size=\"18267136\"] \n  3 -> 16 [size =\"18267136\"]\n  3 -> 17 [size =\"18267136\"]\n  3 -> 19 [size =\"18267136\"]\n  3 -> 21 [size =\"18267136\"]\n  3 -> 22 [size =\"18267136\"]\n  4 [size=\"23054336\", alpha=\"0.17\", expect_size=\"11527168\"] \n  4 -> 16 [size =\"11527168\"]\n  4 -> 17 [size =\"11527168\"]\n  4 -> 18 [size =\"11527168\"]\n  4 -> 21 [size =\"11527168\"]\n  4 -> 22 [size =\"11527168\"]\n  5 [size=\"63035392\", alpha=\"0.13\", expect_size=\"31517696\"] \n  5 -> 16 [size =\"31517696\"]\n  5 -> 17 [size =\"31517696\"]\n  5 -> 18 [size =\"31517696\"]\n  5 -> 19 [size =\"31517696\"]\n  5 -> 21 [size =\"31517696\"]\n  5 -> 22 [size =\"31517696\"]\n  6 [size=\"83478528\", alpha=\"0.03\", expect_size=\"41739264\"] \n  6 -> 16 [size =\"41739264\"]\n  6 -> 17 [size =\"41739264\"]\n  6 -> 18 [size =\"41739264\"]\n  6 -> 19 [size =\"41739264\"]\n  6 -> 22 [size =\"41739264\"]\n  7 [size=\"88236032\", alpha=\"0.17\", expect_size=\"44118016\"] \n  7 -> 16 [size =\"44118016\"]\n  7 -> 17 [size =\"44118016\"]\n  7 -> 18 [size =\"44118016\"]\n  7 -> 19 [size =\"44118016\"]\n  7 -> 20 [size =\"44118016\"]\n  7 -> 21 [size =\"44118016\"]\n  7 -> 22 [size =\"44118016\"]\n  8 [size=\"36106240\", alpha=\"0.13\", expect_size=\"18053120\"] \n  8 -> 16 [size =\"18053120\"]\n  8 -> 17 [size =\"18053120\"]\n  8 -> 18 [size =\"18053120\"]\n  8 -> 19 [size =\"18053120\"]\n  8 -> 20 [size =\"18053120\"]\n  8 -> 21 [size =\"18053120\"]\n  8 -> 23 [size =\"18053120\"]\n  9 [size=\"48310272\", alpha=\"0.09\", expect_size=\"24155136\"] \n  9 -> 18 [size =\"24155136\"]\n  9 -> 20 [size =\"24155136\"]\n  9 -> 21 [size =\"24155136\"]\n  9 -> 22 [size =\"24155136\"]\n  10 [size=\"12613632\", alpha=\"0.17\", expect_size=\"6306816\"] \n  10 -> 18 [size =\"6306816\"]\n  10 -> 19 [size =\"6306816\"]\n  10 -> 21 [size =\"6306816\"]\n  11 [size=\"104687616\", alpha=\"0.19\", expect_size=\"52343808\"] \n  11 -> 17 [size =\"52343808\"]\n  11 -> 18 [size =\"52343808\"]\n  11 -> 21 [size =\"52343808\"]\n  12 [size=\"94470144\", alpha=\"0.07\", expect_size=\"47235072\"] \n  12 -> 19 [size =\"47235072\"]\n  12 -> 21 [size =\"47235072\"]\n  13 [size=\"29476864\", alpha=\"0.03\", expect_size=\"14738432\"] \n  13 -> 16 [size =\"14738432\"]\n  13 -> 17 [size =\"14738432\"]\n  13 -> 21 [size =\"14738432\"]\n  13 -> 22 [size =\"14738432\"]\n  14 [size=\"52246528\", alpha=\"0.11\", expect_size=\"26123264\"] \n  14 -> 16 [size =\"26123264\"]\n  14 -> 17 [size =\"26123264\"]\n  14 -> 20 [size =\"26123264\"]\n  14 -> 21 [size =\"26123264\"]\n  14 -> 22 [size =\"26123264\"]\n  15 [size=\"39467008\", alpha=\"0.09\", expect_size=\"19733504\"] \n  15 -> 16 [size =\"19733504\"]\n  15 -> 17 [size =\"19733504\"]\n  15 -> 18 [size =\"19733504\"]\n  15 -> 19 [size =\"19733504\"]\n  15 -> 21 [size =\"19733504\"]\n  16 [size=\"100773888\", alpha=\"0.16\", expect_size=\"50386944\"] \n  16 -> 24 [size =\"50386944\"]\n  16 -> 25 [size =\"50386944\"]\n  16 -> 26 [size =\"50386944\"]\n  16 -> 27 [size =\"50386944\"]\n  16 -> 28 [size =\"50386944\"]\n  16 -> 31 [size =\"50386944\"]\n  16 -> 32 [size =\"50386944\"]\n  16 -> 33 [size =\"50386944\"]\n  16 -> 34 [size =\"50386944\"]\n  16 -> 35 [size =\"50386944\"]\n  17 [size=\"22759424\", alpha=\"0.18\", expect_size=\"11379712\"] \n  17 -> 24 [size =\"11379712\"]\n  17 -> 25 [size =\"11379712\"]\n  17 -> 26 [size =\"11379712\"]\n  17 -> 27 [size =\"11379712\"]\n  17 -> 28 [size =\"11379712\"]\n  17 -> 32 [size =\"11379712\"]\n  17 -> 33 [size =\"11379712\"]\n  17 -> 33 [size =\"11379712\"]\n  18 [size=\"101072896\", alpha=\"0.11\", expect_size=\"50536448\"] \n  18 -> 24 [size =\"50536448\"]\n  18 -> 25 [size =\"50536448\"]\n  18 -> 26 [size =\"50536448\"]\n  18 -> 27 [size =\"50536448\"]\n  18 -> 32 [size =\"50536448\"]\n  18 -> 33 [size =\"50536448\"]\n  18 -> 35 [size =\"50536448\"]\n  19 [size=\"66887680\", alpha=\"0.03\", expect_size=\"33443840\"] \n  19 -> 24 [size =\"33443840\"]\n  19 -> 25 [size =\"33443840\"]\n  19 -> 26 [size =\"33443840\"]\n  19 -> 27 [size =\"33443840\"]\n  19 -> 28 [size =\"33443840\"]\n  19 -> 30 [size =\"33443840\"]\n  19 -> 31 [size =\"33443840\"]\n  19 -> 33 [size =\"33443840\"]\n  19 -> 34 [size =\"33443840\"]\n  19 -> 35 [size =\"33443840\"]\n  20 [size=\"13598720\", alpha=\"0.16\", expect_size=\"6799360\"] \n  20 -> 24 [size =\"6799360\"]\n  20 -> 27 [size =\"6799360\"]\n  20 -> 28 [size =\"6799360\"]\n  20 -> 31 [size =\"6799360\"]\n  20 -> 33 [size =\"6799360\"]\n  20 -> 35 [size =\"6799360\"]\n  21 [size=\"92841984\", alpha=\"0.07\", expect_size=\"46420992\"] \n  21 -> 24 [size =\"46420992\"]\n  21 -> 27 [size =\"46420992\"]\n  21 -> 28 [size =\"46420992\"]\n  21 -> 29 [size =\"46420992\"]\n  21 -> 31 [size =\"46420992\"]\n  21 -> 32 [size =\"46420992\"]\n  21 -> 33 [size =\"46420992\"]\n  21 -> 35 [size =\"46420992\"]\n  22 [size=\"89980928\", alpha=\"0.20\", expect_size=\"44990464\"] \n  22 -> 24 [size =\"44990464\"]\n  22 -> 26 [size =\"44990464\"]\n  22 -> 27 [size =\"44990464\"]\n  22 -> 28 [size =\"44990464\"]\n  22 -> 30 [size =\"44990464\"]\n  22 -> 32 [size =\"44990464\"]\n  22 -> 34 [size =\"44990464\"]\n  23 [size=\"29626368\", alpha=\"0.19\", expect_size=\"14813184\"] \n  23 -> 24 [size =\"14813184\"]\n  23 -> 25 [size =\"14813184\"]\n  23 -> 26 [size =\"14813184\"]\n  23 -> 32 [size =\"14813184\"]\n  23 -> 35 [size =\"14813184\"]\n  24 [size=\"45443072\", alpha=\"0.20\", expect_size=\"22721536\"] \n  24 -> 36 [size =\"22721536\"]\n  24 -> 37 [size =\"22721536\"]\n  24 -> 38 [size =\"22721536\"]\n  24 -> 39 [size =\"22721536\"]\n  24 -> 40 [size =\"22721536\"]\n  24 -> 42 [size =\"22721536\"]\n  24 -> 43 [size =\"22721536\"]\n  24 -> 44 [size =\"22721536\"]\n  25 [size=\"96118784\", alpha=\"0.12\", expect_size=\"48059392\"] \n  25 -> 37 [size =\"48059392\"]\n  25 -> 38 [size =\"48059392\"]\n  25 -> 39 [size =\"48059392\"]\n  25 -> 40 [size =\"48059392\"]\n  25 -> 40 [size =\"48059392\"]\n  25 -> 42 [size =\"48059392\"]\n  26 [size=\"43679744\", alpha=\"0.00\", expect_size=\"21839872\"] \n  26 -> 36 [size =\"21839872\"]\n  26 -> 37 [size =\"21839872\"]\n  26 -> 40 [size =\"21839872\"]\n  26 -> 40 [size =\"21839872\"]\n  26 -> 41 [size =\"21839872\"]\n  26 -> 42 [size =\"21839872\"]\n  26 -> 43 [size =\"21839872\"]\n  26 -> 44 [size =\"21839872\"]\n  27 [size=\"24903680\", alpha=\"0.05\", expect_size=\"12451840\"] \n  27 -> 37 [size =\"12451840\"]\n  27 -> 37 [size =\"12451840\"]\n  27 -> 38 [size =\"12451840\"]\n  27 -> 43 [size =\"12451840\"]\n  27 -> 44 [size =\"12451840\"]\n  28 [size=\"15572992\", alpha=\"0.15\", expect_size=\"7786496\"] \n  28 -> 37 [size =\"7786496\"]\n  28 -> 39 [size =\"7786496\"]\n  28 -> 43 [size =\"7786496\"]\n  28 -> 44 [size =\"7786496\"]\n  29 [size=\"66201600\", alpha=\"0.13\", expect_size=\"33100800\"] \n  29 -> 38 [size =\"33100800\"]\n  29 -> 39 [size =\"33100800\"]\n  29 -> 43 [size =\"33100800\"]\n  29 -> 44 [size =\"33100800\"]\n  30 [size=\"78262272\", alpha=\"0.11\", expect_size=\"39131136\"] \n  30 -> 36 [size =\"39131136\"]\n  30 -> 37 [size =\"39131136\"]\n  30 -> 38 [size =\"39131136\"]\n  30 -> 39 [size =\"39131136\"]\n  30 -> 42 [size =\"39131136\"]\n  30 -> 43 [size =\"39131136\"]\n  30 -> 45 [size =\"39131136\"]\n  31 [size=\"61321216\", alpha=\"0.09\", expect_size=\"30660608\"] \n  31 -> 38 [size =\"30660608\"]\n  31 -> 39 [size =\"30660608\"]\n  31 -> 40 [size =\"30660608\"]\n  31 -> 43 [size =\"30660608\"]\n  31 -> 44 [size =\"30660608\"]\n  31 -> 45 [size =\"30660608\"]\n  31 -> 45 [size =\"30660608\"]\n  32 [size=\"92624896\", alpha=\"0.05\", expect_size=\"46312448\"] \n  32 -> 37 [size =\"46312448\"]\n  32 -> 38 [size =\"46312448\"]\n  32 -> 40 [size =\"46312448\"]\n  32 -> 42 [size =\"46312448\"]\n  32 -> 44 [size =\"46312448\"]\n  32 -> 45 [size =\"46312448\"]\n  33 [size=\"91797504\", alpha=\"0.06\", expect_size=\"45898752\"] \n  33 -> 37 [size =\"45898752\"]\n  33 -> 38 [size =\"45898752\"]\n  33 -> 39 [size =\"45898752\"]\n  33 -> 40 [size =\"45898752\"]\n  33 -> 42 [size =\"45898752\"]\n  33 -> 43 [size =\"45898752\"]\n  34 [size=\"84891648\", alpha=\"0.15\", expect_size=\"42445824\"] \n  34 -> 40 [size =\"42445824\"]\n  34 -> 43 [size =\"42445824\"]\n  34 -> 44 [size =\"42445824\"]\n  35 [size=\"84471808\", alpha=\"0.10\", expect_size=\"42235904\"] \n  35 -> 36 [size =\"42235904\"]\n  35 -> 37 [size =\"42235904\"]\n  35 -> 40 [size =\"42235904\"]\n  35 -> 43 [size =\"42235904\"]\n  35 -> 44 [size =\"42235904\"]\n  35 -> 45 [size =\"42235904\"]\n  36 [size=\"48721920\", alpha=\"0.04\", expect_size=\"24360960\"] \n  37 [size=\"50632704\", alpha=\"0.01\", expect_size=\"25316352\"] \n  38 [size=\"73582592\", alpha=\"0.17\", expect_size=\"36791296\"] \n  39 [size=\"48822272\", alpha=\"0.05\", expect_size=\"24411136\"] \n  40 [size=\"14178304\", alpha=\"0.14\", expect_size=\"7089152\"] \n  41 [size=\"66150400\", alpha=\"0.20\", expect_size=\"33075200\"] \n  42 [size=\"15826944\", alpha=\"0.03\", expect_size=\"7913472\"] \n  43 [size=\"41564160\", alpha=\"0.10\", expect_size=\"20782080\"] \n  44 [size=\"67981312\", alpha=\"0.04\", expect_size=\"33990656\"] \n  45 [size=\"42469376\", alpha=\"0.17\", expect_size=\"21234688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61005824\", alpha=\"0.01\", expect_size=\"30502912\"] \n  1 -> 9 [size =\"30502912\"]\n  2 [size=\"86624256\", alpha=\"0.09\", expect_size=\"43312128\"] \n  3 [size=\"85166080\", alpha=\"0.15\", expect_size=\"42583040\"] \n  3 -> 9 [size =\"42583040\"]\n  4 [size=\"20400128\", alpha=\"0.05\", expect_size=\"10200064\"] \n  4 -> 9 [size =\"10200064\"]\n  4 -> 11 [size =\"10200064\"]\n  5 [size=\"35305472\", alpha=\"0.12\", expect_size=\"17652736\"] \n  5 -> 8 [size =\"17652736\"]\n  5 -> 10 [size =\"17652736\"]\n  6 [size=\"51728384\", alpha=\"0.10\", expect_size=\"25864192\"] \n  6 -> 9 [size =\"25864192\"]\n  6 -> 10 [size =\"25864192\"]\n  6 -> 11 [size =\"25864192\"]\n  6 -> 12 [size =\"25864192\"]\n  7 [size=\"30758912\", alpha=\"0.04\", expect_size=\"15379456\"] \n  7 -> 10 [size =\"15379456\"]\n  7 -> 10 [size =\"15379456\"]\n  7 -> 12 [size =\"15379456\"]\n  8 [size=\"27904000\", alpha=\"0.06\", expect_size=\"13952000\"] \n  8 -> 17 [size =\"13952000\"]\n  9 [size=\"93732864\", alpha=\"0.02\", expect_size=\"46866432\"] \n  9 -> 14 [size =\"46866432\"]\n  9 -> 16 [size =\"46866432\"]\n  9 -> 18 [size =\"46866432\"]\n  9 -> 19 [size =\"46866432\"]\n  10 [size=\"87752704\", alpha=\"0.08\", expect_size=\"43876352\"] \n  10 -> 13 [size =\"43876352\"]\n  10 -> 14 [size =\"43876352\"]\n  10 -> 18 [size =\"43876352\"]\n  11 [size=\"85432320\", alpha=\"0.04\", expect_size=\"42716160\"] \n  11 -> 13 [size =\"42716160\"]\n  12 [size=\"91650048\", alpha=\"0.20\", expect_size=\"45825024\"] \n  12 -> 13 [size =\"45825024\"]\n  12 -> 15 [size =\"45825024\"]\n  12 -> 17 [size =\"45825024\"]\n  12 -> 18 [size =\"45825024\"]\n  12 -> 19 [size =\"45825024\"]\n  13 [size=\"39335936\", alpha=\"0.17\", expect_size=\"19667968\"] \n  13 -> 25 [size =\"19667968\"]\n  13 -> 26 [size =\"19667968\"]\n  14 [size=\"15159296\", alpha=\"0.01\", expect_size=\"7579648\"] \n  14 -> 20 [size =\"7579648\"]\n  14 -> 23 [size =\"7579648\"]\n  14 -> 25 [size =\"7579648\"]\n  14 -> 26 [size =\"7579648\"]\n  15 [size=\"36825088\", alpha=\"0.02\", expect_size=\"18412544\"] \n  15 -> 20 [size =\"18412544\"]\n  15 -> 21 [size =\"18412544\"]\n  15 -> 24 [size =\"18412544\"]\n  16 [size=\"92147712\", alpha=\"0.16\", expect_size=\"46073856\"] \n  16 -> 24 [size =\"46073856\"]\n  16 -> 26 [size =\"46073856\"]\n  17 [size=\"46721024\", alpha=\"0.12\", expect_size=\"23360512\"] \n  17 -> 22 [size =\"23360512\"]\n  17 -> 23 [size =\"23360512\"]\n  17 -> 24 [size =\"23360512\"]\n  17 -> 25 [size =\"23360512\"]\n  18 [size=\"67870720\", alpha=\"0.12\", expect_size=\"33935360\"] \n  19 [size=\"94574592\", alpha=\"0.00\", expect_size=\"47287296\"] \n  19 -> 23 [size =\"47287296\"]\n  19 -> 25 [size =\"47287296\"]\n  19 -> 27 [size =\"47287296\"]\n  20 [size=\"103532544\", alpha=\"0.00\", expect_size=\"51766272\"] \n  21 [size=\"45688832\", alpha=\"0.11\", expect_size=\"22844416\"] \n  22 [size=\"64002048\", alpha=\"0.18\", expect_size=\"32001024\"] \n  22 -> 28 [size =\"32001024\"]\n  22 -> 30 [size =\"32001024\"]\n  22 -> 31 [size =\"32001024\"]\n  23 [size=\"62758912\", alpha=\"0.00\", expect_size=\"31379456\"] \n  24 [size=\"46823424\", alpha=\"0.05\", expect_size=\"23411712\"] \n  24 -> 30 [size =\"23411712\"]\n  24 -> 31 [size =\"23411712\"]\n  25 [size=\"49823744\", alpha=\"0.15\", expect_size=\"24911872\"] \n  25 -> 33 [size =\"24911872\"]\n  26 [size=\"59871232\", alpha=\"0.14\", expect_size=\"29935616\"] \n  26 -> 28 [size =\"29935616\"]\n  26 -> 32 [size =\"29935616\"]\n  26 -> 33 [size =\"29935616\"]\n  27 [size=\"43018240\", alpha=\"0.17\", expect_size=\"21509120\"] \n  27 -> 28 [size =\"21509120\"]\n  27 -> 29 [size =\"21509120\"]\n  27 -> 30 [size =\"21509120\"]\n  27 -> 32 [size =\"21509120\"]\n  27 -> 33 [size =\"21509120\"]\n  28 [size=\"98547712\", alpha=\"0.04\", expect_size=\"49273856\"] \n  28 -> 35 [size =\"49273856\"]\n  28 -> 37 [size =\"49273856\"]\n  29 [size=\"63115264\", alpha=\"0.08\", expect_size=\"31557632\"] \n  29 -> 35 [size =\"31557632\"]\n  29 -> 36 [size =\"31557632\"]\n  29 -> 37 [size =\"31557632\"]\n  30 [size=\"63358976\", alpha=\"0.09\", expect_size=\"31679488\"] \n  30 -> 35 [size =\"31679488\"]\n  31 [size=\"63623168\", alpha=\"0.06\", expect_size=\"31811584\"] \n  31 -> 37 [size =\"31811584\"]\n  32 [size=\"20056064\", alpha=\"0.19\", expect_size=\"10028032\"] \n  32 -> 34 [size =\"10028032\"]\n  33 [size=\"103170048\", alpha=\"0.19\", expect_size=\"51585024\"] \n  34 [size=\"104529920\", alpha=\"0.00\", expect_size=\"52264960\"] \n  34 -> 42 [size =\"52264960\"]\n  34 -> 44 [size =\"52264960\"]\n  35 [size=\"34052096\", alpha=\"0.07\", expect_size=\"17026048\"] \n  35 -> 39 [size =\"17026048\"]\n  35 -> 40 [size =\"17026048\"]\n  35 -> 41 [size =\"17026048\"]\n  35 -> 43 [size =\"17026048\"]\n  36 [size=\"10928128\", alpha=\"0.11\", expect_size=\"5464064\"] \n  36 -> 38 [size =\"5464064\"]\n  36 -> 40 [size =\"5464064\"]\n  36 -> 44 [size =\"5464064\"]\n  36 -> 45 [size =\"5464064\"]\n  37 [size=\"76402688\", alpha=\"0.02\", expect_size=\"38201344\"] \n  37 -> 40 [size =\"38201344\"]\n  38 [size=\"62007296\", alpha=\"0.06\", expect_size=\"31003648\"] \n  39 [size=\"79534080\", alpha=\"0.08\", expect_size=\"39767040\"] \n  40 [size=\"23486464\", alpha=\"0.09\", expect_size=\"11743232\"] \n  41 [size=\"65505280\", alpha=\"0.18\", expect_size=\"32752640\"] \n  42 [size=\"91793408\", alpha=\"0.18\", expect_size=\"45896704\"] \n  43 [size=\"89147392\", alpha=\"0.09\", expect_size=\"44573696\"] \n  44 [size=\"86413312\", alpha=\"0.08\", expect_size=\"43206656\"] \n  45 [size=\"88270848\", alpha=\"0.15\", expect_size=\"44135424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41529344\", alpha=\"0.15\", expect_size=\"20764672\"] \n  1 -> 7 [size =\"20764672\"]\n  1 -> 10 [size =\"20764672\"]\n  2 [size=\"16039936\", alpha=\"0.15\", expect_size=\"8019968\"] \n  2 -> 7 [size =\"8019968\"]\n  2 -> 9 [size =\"8019968\"]\n  2 -> 10 [size =\"8019968\"]\n  2 -> 11 [size =\"8019968\"]\n  3 [size=\"46571520\", alpha=\"0.12\", expect_size=\"23285760\"] \n  3 -> 8 [size =\"23285760\"]\n  3 -> 9 [size =\"23285760\"]\n  3 -> 10 [size =\"23285760\"]\n  4 [size=\"102148096\", alpha=\"0.05\", expect_size=\"51074048\"] \n  4 -> 7 [size =\"51074048\"]\n  4 -> 8 [size =\"51074048\"]\n  4 -> 9 [size =\"51074048\"]\n  4 -> 10 [size =\"51074048\"]\n  4 -> 11 [size =\"51074048\"]\n  4 -> 12 [size =\"51074048\"]\n  5 [size=\"41435136\", alpha=\"0.01\", expect_size=\"20717568\"] \n  5 -> 7 [size =\"20717568\"]\n  5 -> 8 [size =\"20717568\"]\n  5 -> 11 [size =\"20717568\"]\n  5 -> 12 [size =\"20717568\"]\n  6 [size=\"66134016\", alpha=\"0.13\", expect_size=\"33067008\"] \n  6 -> 12 [size =\"33067008\"]\n  7 [size=\"56657920\", alpha=\"0.07\", expect_size=\"28328960\"] \n  7 -> 13 [size =\"28328960\"]\n  7 -> 15 [size =\"28328960\"]\n  7 -> 17 [size =\"28328960\"]\n  7 -> 18 [size =\"28328960\"]\n  8 [size=\"89180160\", alpha=\"0.18\", expect_size=\"44590080\"] \n  8 -> 14 [size =\"44590080\"]\n  8 -> 18 [size =\"44590080\"]\n  9 [size=\"45449216\", alpha=\"0.19\", expect_size=\"22724608\"] \n  9 -> 14 [size =\"22724608\"]\n  9 -> 16 [size =\"22724608\"]\n  10 [size=\"71917568\", alpha=\"0.03\", expect_size=\"35958784\"] \n  10 -> 13 [size =\"35958784\"]\n  10 -> 14 [size =\"35958784\"]\n  10 -> 15 [size =\"35958784\"]\n  11 [size=\"30150656\", alpha=\"0.11\", expect_size=\"15075328\"] \n  11 -> 14 [size =\"15075328\"]\n  11 -> 15 [size =\"15075328\"]\n  12 [size=\"101015552\", alpha=\"0.16\", expect_size=\"50507776\"] \n  12 -> 13 [size =\"50507776\"]\n  12 -> 14 [size =\"50507776\"]\n  12 -> 15 [size =\"50507776\"]\n  13 [size=\"79302656\", alpha=\"0.11\", expect_size=\"39651328\"] \n  13 -> 21 [size =\"39651328\"]\n  13 -> 22 [size =\"39651328\"]\n  13 -> 23 [size =\"39651328\"]\n  14 [size=\"39690240\", alpha=\"0.05\", expect_size=\"19845120\"] \n  14 -> 19 [size =\"19845120\"]\n  14 -> 24 [size =\"19845120\"]\n  15 [size=\"61124608\", alpha=\"0.10\", expect_size=\"30562304\"] \n  15 -> 19 [size =\"30562304\"]\n  15 -> 22 [size =\"30562304\"]\n  16 [size=\"66426880\", alpha=\"0.11\", expect_size=\"33213440\"] \n  16 -> 19 [size =\"33213440\"]\n  16 -> 22 [size =\"33213440\"]\n  16 -> 23 [size =\"33213440\"]\n  17 [size=\"33951744\", alpha=\"0.01\", expect_size=\"16975872\"] \n  17 -> 19 [size =\"16975872\"]\n  17 -> 23 [size =\"16975872\"]\n  17 -> 24 [size =\"16975872\"]\n  18 [size=\"68067328\", alpha=\"0.10\", expect_size=\"34033664\"] \n  18 -> 20 [size =\"34033664\"]\n  18 -> 21 [size =\"34033664\"]\n  19 [size=\"60585984\", alpha=\"0.15\", expect_size=\"30292992\"] \n  19 -> 26 [size =\"30292992\"]\n  19 -> 27 [size =\"30292992\"]\n  20 [size=\"55752704\", alpha=\"0.05\", expect_size=\"27876352\"] \n  20 -> 25 [size =\"27876352\"]\n  20 -> 28 [size =\"27876352\"]\n  21 [size=\"68857856\", alpha=\"0.01\", expect_size=\"34428928\"] \n  21 -> 26 [size =\"34428928\"]\n  21 -> 27 [size =\"34428928\"]\n  21 -> 28 [size =\"34428928\"]\n  22 [size=\"24537088\", alpha=\"0.19\", expect_size=\"12268544\"] \n  22 -> 29 [size =\"12268544\"]\n  23 [size=\"98822144\", alpha=\"0.04\", expect_size=\"49411072\"] \n  23 -> 26 [size =\"49411072\"]\n  24 [size=\"54114304\", alpha=\"0.08\", expect_size=\"27057152\"] \n  24 -> 26 [size =\"27057152\"]\n  25 [size=\"77293568\", alpha=\"0.19\", expect_size=\"38646784\"] \n  25 -> 32 [size =\"38646784\"]\n  25 -> 33 [size =\"38646784\"]\n  25 -> 34 [size =\"38646784\"]\n  26 [size=\"30869504\", alpha=\"0.02\", expect_size=\"15434752\"] \n  26 -> 30 [size =\"15434752\"]\n  26 -> 32 [size =\"15434752\"]\n  26 -> 34 [size =\"15434752\"]\n  27 [size=\"81561600\", alpha=\"0.15\", expect_size=\"40780800\"] \n  27 -> 30 [size =\"40780800\"]\n  27 -> 31 [size =\"40780800\"]\n  28 [size=\"86794240\", alpha=\"0.04\", expect_size=\"43397120\"] \n  28 -> 30 [size =\"43397120\"]\n  28 -> 33 [size =\"43397120\"]\n  28 -> 34 [size =\"43397120\"]\n  29 [size=\"39331840\", alpha=\"0.01\", expect_size=\"19665920\"] \n  29 -> 32 [size =\"19665920\"]\n  29 -> 33 [size =\"19665920\"]\n  29 -> 34 [size =\"19665920\"]\n  30 [size=\"16386048\", alpha=\"0.11\", expect_size=\"8193024\"] \n  30 -> 35 [size =\"8193024\"]\n  30 -> 36 [size =\"8193024\"]\n  30 -> 37 [size =\"8193024\"]\n  31 [size=\"39225344\", alpha=\"0.05\", expect_size=\"19612672\"] \n  31 -> 35 [size =\"19612672\"]\n  31 -> 37 [size =\"19612672\"]\n  31 -> 39 [size =\"19612672\"]\n  32 [size=\"44523520\", alpha=\"0.18\", expect_size=\"22261760\"] \n  33 [size=\"37832704\", alpha=\"0.06\", expect_size=\"18916352\"] \n  33 -> 36 [size =\"18916352\"]\n  33 -> 37 [size =\"18916352\"]\n  33 -> 38 [size =\"18916352\"]\n  33 -> 39 [size =\"18916352\"]\n  34 [size=\"55240704\", alpha=\"0.19\", expect_size=\"27620352\"] \n  34 -> 35 [size =\"27620352\"]\n  34 -> 36 [size =\"27620352\"]\n  34 -> 37 [size =\"27620352\"]\n  34 -> 39 [size =\"27620352\"]\n  35 [size=\"94035968\", alpha=\"0.04\", expect_size=\"47017984\"] \n  35 -> 43 [size =\"47017984\"]\n  35 -> 44 [size =\"47017984\"]\n  36 [size=\"90800128\", alpha=\"0.01\", expect_size=\"45400064\"] \n  36 -> 42 [size =\"45400064\"]\n  37 [size=\"101179392\", alpha=\"0.02\", expect_size=\"50589696\"] \n  37 -> 40 [size =\"50589696\"]\n  37 -> 41 [size =\"50589696\"]\n  37 -> 42 [size =\"50589696\"]\n  37 -> 44 [size =\"50589696\"]\n  38 [size=\"76980224\", alpha=\"0.16\", expect_size=\"38490112\"] \n  38 -> 40 [size =\"38490112\"]\n  38 -> 41 [size =\"38490112\"]\n  38 -> 42 [size =\"38490112\"]\n  38 -> 43 [size =\"38490112\"]\n  39 [size=\"96892928\", alpha=\"0.00\", expect_size=\"48446464\"] \n  39 -> 41 [size =\"48446464\"]\n  39 -> 41 [size =\"48446464\"]\n  39 -> 43 [size =\"48446464\"]\n  39 -> 44 [size =\"48446464\"]\n  40 [size=\"101511168\", alpha=\"0.14\", expect_size=\"50755584\"] \n  40 -> 45 [size =\"50755584\"]\n  41 [size=\"57896960\", alpha=\"0.00\", expect_size=\"28948480\"] \n  42 [size=\"80087040\", alpha=\"0.09\", expect_size=\"40043520\"] \n  42 -> 45 [size =\"40043520\"]\n  43 [size=\"69871616\", alpha=\"0.17\", expect_size=\"34935808\"] \n  43 -> 45 [size =\"34935808\"]\n  44 [size=\"96065536\", alpha=\"0.15\", expect_size=\"48032768\"] \n  45 [size=\"93505536\", alpha=\"0.06\", expect_size=\"46752768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17708373\", alpha=\"0.11\", expect_size=\"5312512\"] \n  1 -> 8 [size =\"5312512\"]\n  1 -> 8 [size =\"5312512\"]\n  1 -> 11 [size =\"5312512\"]\n  2 [size=\"153541973\", alpha=\"0.15\", expect_size=\"46062592\"] \n  2 -> 9 [size =\"46062592\"]\n  2 -> 11 [size =\"46062592\"]\n  2 -> 11 [size =\"46062592\"]\n  3 [size=\"144199680\", alpha=\"0.02\", expect_size=\"43259904\"] \n  3 -> 9 [size =\"43259904\"]\n  4 [size=\"153105067\", alpha=\"0.07\", expect_size=\"45931520\"] \n  4 -> 9 [size =\"45931520\"]\n  4 -> 10 [size =\"45931520\"]\n  5 [size=\"165556907\", alpha=\"0.06\", expect_size=\"49667072\"] \n  5 -> 9 [size =\"49667072\"]\n  5 -> 11 [size =\"49667072\"]\n  6 [size=\"104676693\", alpha=\"0.11\", expect_size=\"31403008\"] \n  6 -> 7 [size =\"31403008\"]\n  6 -> 8 [size =\"31403008\"]\n  7 [size=\"78219947\", alpha=\"0.10\", expect_size=\"23465984\"] \n  7 -> 13 [size =\"23465984\"]\n  7 -> 15 [size =\"23465984\"]\n  7 -> 16 [size =\"23465984\"]\n  8 [size=\"107465387\", alpha=\"0.17\", expect_size=\"32239616\"] \n  8 -> 14 [size =\"32239616\"]\n  8 -> 16 [size =\"32239616\"]\n  8 -> 16 [size =\"32239616\"]\n  9 [size=\"129809067\", alpha=\"0.05\", expect_size=\"38942720\"] \n  9 -> 13 [size =\"38942720\"]\n  9 -> 15 [size =\"38942720\"]\n  10 [size=\"164754773\", alpha=\"0.11\", expect_size=\"49426432\"] \n  10 -> 12 [size =\"49426432\"]\n  10 -> 14 [size =\"49426432\"]\n  11 [size=\"33938773\", alpha=\"0.09\", expect_size=\"10181632\"] \n  11 -> 12 [size =\"10181632\"]\n  12 [size=\"124296533\", alpha=\"0.17\", expect_size=\"37288960\"] \n  12 -> 20 [size =\"37288960\"]\n  12 -> 22 [size =\"37288960\"]\n  13 [size=\"85405013\", alpha=\"0.09\", expect_size=\"25621504\"] \n  13 -> 20 [size =\"25621504\"]\n  14 [size=\"102437547\", alpha=\"0.10\", expect_size=\"30731264\"] \n  14 -> 17 [size =\"30731264\"]\n  14 -> 18 [size =\"30731264\"]\n  14 -> 20 [size =\"30731264\"]\n  15 [size=\"160822613\", alpha=\"0.03\", expect_size=\"48246784\"] \n  15 -> 18 [size =\"48246784\"]\n  15 -> 19 [size =\"48246784\"]\n  15 -> 21 [size =\"48246784\"]\n  16 [size=\"50367147\", alpha=\"0.03\", expect_size=\"15110144\"] \n  16 -> 18 [size =\"15110144\"]\n  16 -> 21 [size =\"15110144\"]\n  16 -> 22 [size =\"15110144\"]\n  17 [size=\"140769280\", alpha=\"0.07\", expect_size=\"42230784\"] \n  17 -> 23 [size =\"42230784\"]\n  17 -> 25 [size =\"42230784\"]\n  18 [size=\"60340907\", alpha=\"0.04\", expect_size=\"18102272\"] \n  18 -> 23 [size =\"18102272\"]\n  18 -> 25 [size =\"18102272\"]\n  18 -> 26 [size =\"18102272\"]\n  18 -> 27 [size =\"18102272\"]\n  19 [size=\"40584533\", alpha=\"0.01\", expect_size=\"12175360\"] \n  19 -> 27 [size =\"12175360\"]\n  20 [size=\"83227307\", alpha=\"0.06\", expect_size=\"24968192\"] \n  21 [size=\"170086400\", alpha=\"0.11\", expect_size=\"51025920\"] \n  21 -> 23 [size =\"51025920\"]\n  21 -> 24 [size =\"51025920\"]\n  21 -> 26 [size =\"51025920\"]\n  21 -> 27 [size =\"51025920\"]\n  22 [size=\"85794133\", alpha=\"0.14\", expect_size=\"25738240\"] \n  22 -> 23 [size =\"25738240\"]\n  22 -> 24 [size =\"25738240\"]\n  22 -> 26 [size =\"25738240\"]\n  22 -> 27 [size =\"25738240\"]\n  23 [size=\"58511360\", alpha=\"0.13\", expect_size=\"17553408\"] \n  23 -> 28 [size =\"17553408\"]\n  23 -> 31 [size =\"17553408\"]\n  24 [size=\"126416213\", alpha=\"0.09\", expect_size=\"37924864\"] \n  25 [size=\"44414293\", alpha=\"0.03\", expect_size=\"13324288\"] \n  25 -> 28 [size =\"13324288\"]\n  25 -> 29 [size =\"13324288\"]\n  25 -> 30 [size =\"13324288\"]\n  25 -> 32 [size =\"13324288\"]\n  26 [size=\"68304213\", alpha=\"0.09\", expect_size=\"20491264\"] \n  26 -> 29 [size =\"20491264\"]\n  26 -> 32 [size =\"20491264\"]\n  27 [size=\"91299840\", alpha=\"0.03\", expect_size=\"27389952\"] \n  27 -> 31 [size =\"27389952\"]\n  27 -> 32 [size =\"27389952\"]\n  28 [size=\"147599360\", alpha=\"0.08\", expect_size=\"44279808\"] \n  28 -> 34 [size =\"44279808\"]\n  29 [size=\"23637333\", alpha=\"0.07\", expect_size=\"7091200\"] \n  29 -> 34 [size =\"7091200\"]\n  29 -> 35 [size =\"7091200\"]\n  29 -> 37 [size =\"7091200\"]\n  30 [size=\"27811840\", alpha=\"0.05\", expect_size=\"8343552\"] \n  30 -> 33 [size =\"8343552\"]\n  30 -> 34 [size =\"8343552\"]\n  30 -> 35 [size =\"8343552\"]\n  31 [size=\"73646080\", alpha=\"0.06\", expect_size=\"22093824\"] \n  31 -> 36 [size =\"22093824\"]\n  32 [size=\"161375573\", alpha=\"0.19\", expect_size=\"48412672\"] \n  33 [size=\"112486400\", alpha=\"0.02\", expect_size=\"33745920\"] \n  33 -> 40 [size =\"33745920\"]\n  33 -> 41 [size =\"33745920\"]\n  33 -> 42 [size =\"33745920\"]\n  34 [size=\"53708800\", alpha=\"0.15\", expect_size=\"16112640\"] \n  34 -> 39 [size =\"16112640\"]\n  34 -> 42 [size =\"16112640\"]\n  35 [size=\"120674987\", alpha=\"0.06\", expect_size=\"36202496\"] \n  35 -> 39 [size =\"36202496\"]\n  36 [size=\"146889387\", alpha=\"0.02\", expect_size=\"44066816\"] \n  36 -> 38 [size =\"44066816\"]\n  37 [size=\"62272853\", alpha=\"0.13\", expect_size=\"18681856\"] \n  37 -> 38 [size =\"18681856\"]\n  38 [size=\"84848640\", alpha=\"0.10\", expect_size=\"25454592\"] \n  38 -> 45 [size =\"25454592\"]\n  39 [size=\"147329707\", alpha=\"0.10\", expect_size=\"44198912\"] \n  39 -> 43 [size =\"44198912\"]\n  39 -> 44 [size =\"44198912\"]\n  40 [size=\"47476053\", alpha=\"0.18\", expect_size=\"14242816\"] \n  40 -> 43 [size =\"14242816\"]\n  40 -> 44 [size =\"14242816\"]\n  40 -> 45 [size =\"14242816\"]\n  41 [size=\"89849173\", alpha=\"0.05\", expect_size=\"26954752\"] \n  42 [size=\"133628587\", alpha=\"0.01\", expect_size=\"40088576\"] \n  42 -> 44 [size =\"40088576\"]\n  43 [size=\"128348160\", alpha=\"0.03\", expect_size=\"38504448\"] \n  44 [size=\"141940053\", alpha=\"0.18\", expect_size=\"42582016\"] \n  45 [size=\"102079147\", alpha=\"0.17\", expect_size=\"30623744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115940693\", alpha=\"0.07\", expect_size=\"34782208\"] \n  1 -> 5 [size =\"34782208\"]\n  1 -> 6 [size =\"34782208\"]\n  1 -> 7 [size =\"34782208\"]\n  2 [size=\"17995093\", alpha=\"0.01\", expect_size=\"5398528\"] \n  2 -> 5 [size =\"5398528\"]\n  2 -> 6 [size =\"5398528\"]\n  2 -> 7 [size =\"5398528\"]\n  3 [size=\"100068693\", alpha=\"0.09\", expect_size=\"30020608\"] \n  3 -> 6 [size =\"30020608\"]\n  3 -> 7 [size =\"30020608\"]\n  4 [size=\"92470613\", alpha=\"0.07\", expect_size=\"27741184\"] \n  4 -> 6 [size =\"27741184\"]\n  5 [size=\"32522240\", alpha=\"0.05\", expect_size=\"9756672\"] \n  5 -> 9 [size =\"9756672\"]\n  5 -> 10 [size =\"9756672\"]\n  6 [size=\"143889067\", alpha=\"0.06\", expect_size=\"43166720\"] \n  6 -> 10 [size =\"43166720\"]\n  7 [size=\"106158080\", alpha=\"0.20\", expect_size=\"31847424\"] \n  7 -> 8 [size =\"31847424\"]\n  7 -> 9 [size =\"31847424\"]\n  7 -> 10 [size =\"31847424\"]\n  8 [size=\"85009067\", alpha=\"0.13\", expect_size=\"25502720\"] \n  9 [size=\"151691947\", alpha=\"0.16\", expect_size=\"45507584\"] \n  10 [size=\"66389333\", alpha=\"0.10\", expect_size=\"19916800\"] \n  10 -> 11 [size =\"19916800\"]\n  11 [size=\"59828907\", alpha=\"0.15\", expect_size=\"17948672\"] \n  11 -> 12 [size =\"17948672\"]\n  11 -> 13 [size =\"17948672\"]\n  11 -> 14 [size =\"17948672\"]\n  12 [size=\"116189867\", alpha=\"0.16\", expect_size=\"34856960\"] \n  13 [size=\"126242133\", alpha=\"0.16\", expect_size=\"37872640\"] \n  14 [size=\"37338453\", alpha=\"0.01\", expect_size=\"11201536\"] \n  14 -> 15 [size =\"11201536\"]\n  15 [size=\"96276480\", alpha=\"0.16\", expect_size=\"28882944\"] \n  15 -> 16 [size =\"28882944\"]\n  15 -> 17 [size =\"28882944\"]\n  15 -> 18 [size =\"28882944\"]\n  16 [size=\"132266667\", alpha=\"0.07\", expect_size=\"39680000\"] \n  16 -> 19 [size =\"39680000\"]\n  16 -> 20 [size =\"39680000\"]\n  16 -> 21 [size =\"39680000\"]\n  16 -> 22 [size =\"39680000\"]\n  17 [size=\"25941333\", alpha=\"0.00\", expect_size=\"7782400\"] \n  17 -> 20 [size =\"7782400\"]\n  17 -> 22 [size =\"7782400\"]\n  18 [size=\"24244907\", alpha=\"0.09\", expect_size=\"7273472\"] \n  18 -> 20 [size =\"7273472\"]\n  18 -> 21 [size =\"7273472\"]\n  18 -> 22 [size =\"7273472\"]\n  19 [size=\"126747307\", alpha=\"0.16\", expect_size=\"38024192\"] \n  19 -> 24 [size =\"38024192\"]\n  19 -> 25 [size =\"38024192\"]\n  20 [size=\"96764587\", alpha=\"0.07\", expect_size=\"29029376\"] \n  20 -> 23 [size =\"29029376\"]\n  20 -> 25 [size =\"29029376\"]\n  21 [size=\"21647360\", alpha=\"0.11\", expect_size=\"6494208\"] \n  21 -> 25 [size =\"6494208\"]\n  22 [size=\"140721493\", alpha=\"0.15\", expect_size=\"42216448\"] \n  22 -> 24 [size =\"42216448\"]\n  22 -> 25 [size =\"42216448\"]\n  23 [size=\"107738453\", alpha=\"0.10\", expect_size=\"32321536\"] \n  23 -> 26 [size =\"32321536\"]\n  23 -> 27 [size =\"32321536\"]\n  24 [size=\"73789440\", alpha=\"0.13\", expect_size=\"22136832\"] \n  24 -> 26 [size =\"22136832\"]\n  24 -> 28 [size =\"22136832\"]\n  25 [size=\"79773013\", alpha=\"0.19\", expect_size=\"23931904\"] \n  25 -> 28 [size =\"23931904\"]\n  26 [size=\"50623147\", alpha=\"0.01\", expect_size=\"15186944\"] \n  26 -> 30 [size =\"15186944\"]\n  27 [size=\"103109973\", alpha=\"0.15\", expect_size=\"30932992\"] \n  27 -> 30 [size =\"30932992\"]\n  28 [size=\"104792747\", alpha=\"0.16\", expect_size=\"31437824\"] \n  28 -> 29 [size =\"31437824\"]\n  28 -> 30 [size =\"31437824\"]\n  29 [size=\"19889493\", alpha=\"0.15\", expect_size=\"5966848\"] \n  29 -> 31 [size =\"5966848\"]\n  29 -> 32 [size =\"5966848\"]\n  29 -> 33 [size =\"5966848\"]\n  29 -> 34 [size =\"5966848\"]\n  30 [size=\"145735680\", alpha=\"0.00\", expect_size=\"43720704\"] \n  30 -> 31 [size =\"43720704\"]\n  30 -> 32 [size =\"43720704\"]\n  30 -> 33 [size =\"43720704\"]\n  30 -> 34 [size =\"43720704\"]\n  31 [size=\"46124373\", alpha=\"0.11\", expect_size=\"13837312\"] \n  32 [size=\"134103040\", alpha=\"0.14\", expect_size=\"40230912\"] \n  32 -> 35 [size =\"40230912\"]\n  33 [size=\"95614293\", alpha=\"0.11\", expect_size=\"28684288\"] \n  33 -> 35 [size =\"28684288\"]\n  34 [size=\"170540373\", alpha=\"0.10\", expect_size=\"51162112\"] \n  34 -> 35 [size =\"51162112\"]\n  35 [size=\"119306240\", alpha=\"0.19\", expect_size=\"35791872\"] \n  35 -> 36 [size =\"35791872\"]\n  35 -> 37 [size =\"35791872\"]\n  36 [size=\"114247680\", alpha=\"0.03\", expect_size=\"34274304\"] \n  36 -> 38 [size =\"34274304\"]\n  37 [size=\"124487680\", alpha=\"0.09\", expect_size=\"37346304\"] \n  37 -> 38 [size =\"37346304\"]\n  37 -> 39 [size =\"37346304\"]\n  38 [size=\"81425067\", alpha=\"0.15\", expect_size=\"24427520\"] \n  38 -> 40 [size =\"24427520\"]\n  38 -> 41 [size =\"24427520\"]\n  38 -> 42 [size =\"24427520\"]\n  39 [size=\"52592640\", alpha=\"0.14\", expect_size=\"15777792\"] \n  39 -> 40 [size =\"15777792\"]\n  39 -> 41 [size =\"15777792\"]\n  40 [size=\"172209493\", alpha=\"0.04\", expect_size=\"51662848\"] \n  40 -> 44 [size =\"51662848\"]\n  41 [size=\"174612480\", alpha=\"0.15\", expect_size=\"52383744\"] \n  41 -> 43 [size =\"52383744\"]\n  41 -> 44 [size =\"52383744\"]\n  41 -> 45 [size =\"52383744\"]\n  42 [size=\"102161067\", alpha=\"0.01\", expect_size=\"30648320\"] \n  42 -> 44 [size =\"30648320\"]\n  42 -> 45 [size =\"30648320\"]\n  42 -> 45 [size =\"30648320\"]\n  43 [size=\"53568853\", alpha=\"0.18\", expect_size=\"16070656\"] \n  44 [size=\"137608533\", alpha=\"0.03\", expect_size=\"41282560\"] \n  45 [size=\"59569493\", alpha=\"0.16\", expect_size=\"17870848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86370304\", alpha=\"0.14\", expect_size=\"43185152\"] \n  1 -> 2 [size =\"43185152\"]\n  2 [size=\"101724160\", alpha=\"0.08\", expect_size=\"50862080\"] \n  2 -> 3 [size =\"50862080\"]\n  3 [size=\"69408768\", alpha=\"0.17\", expect_size=\"34704384\"] \n  3 -> 4 [size =\"34704384\"]\n  4 [size=\"48510976\", alpha=\"0.15\", expect_size=\"24255488\"] \n  4 -> 5 [size =\"24255488\"]\n  5 [size=\"87144448\", alpha=\"0.17\", expect_size=\"43572224\"] \n  5 -> 6 [size =\"43572224\"]\n  6 [size=\"15282176\", alpha=\"0.10\", expect_size=\"7641088\"] \n  6 -> 7 [size =\"7641088\"]\n  7 [size=\"41244672\", alpha=\"0.07\", expect_size=\"20622336\"] \n  7 -> 8 [size =\"20622336\"]\n  8 [size=\"79564800\", alpha=\"0.03\", expect_size=\"39782400\"] \n  8 -> 9 [size =\"39782400\"]\n  9 [size=\"19619840\", alpha=\"0.05\", expect_size=\"9809920\"] \n  9 -> 10 [size =\"9809920\"]\n  10 [size=\"96184320\", alpha=\"0.06\", expect_size=\"48092160\"] \n  10 -> 11 [size =\"48092160\"]\n  11 [size=\"84547584\", alpha=\"0.00\", expect_size=\"42273792\"] \n  11 -> 12 [size =\"42273792\"]\n  12 [size=\"56524800\", alpha=\"0.17\", expect_size=\"28262400\"] \n  12 -> 13 [size =\"28262400\"]\n  13 [size=\"93396992\", alpha=\"0.16\", expect_size=\"46698496\"] \n  13 -> 14 [size =\"46698496\"]\n  14 [size=\"80834560\", alpha=\"0.15\", expect_size=\"40417280\"] \n  14 -> 15 [size =\"40417280\"]\n  15 [size=\"58947584\", alpha=\"0.07\", expect_size=\"29473792\"] \n  15 -> 16 [size =\"29473792\"]\n  16 [size=\"43575296\", alpha=\"0.10\", expect_size=\"21787648\"] \n  16 -> 17 [size =\"21787648\"]\n  17 [size=\"88750080\", alpha=\"0.10\", expect_size=\"44375040\"] \n  17 -> 18 [size =\"44375040\"]\n  18 [size=\"28143616\", alpha=\"0.20\", expect_size=\"14071808\"] \n  18 -> 19 [size =\"14071808\"]\n  19 [size=\"40114176\", alpha=\"0.17\", expect_size=\"20057088\"] \n  19 -> 20 [size =\"20057088\"]\n  20 [size=\"61913088\", alpha=\"0.16\", expect_size=\"30956544\"] \n  20 -> 21 [size =\"30956544\"]\n  21 [size=\"90185728\", alpha=\"0.10\", expect_size=\"45092864\"] \n  21 -> 22 [size =\"45092864\"]\n  22 [size=\"90724352\", alpha=\"0.05\", expect_size=\"45362176\"] \n  22 -> 23 [size =\"45362176\"]\n  23 [size=\"75569152\", alpha=\"0.11\", expect_size=\"37784576\"] \n  23 -> 24 [size =\"37784576\"]\n  24 [size=\"58869760\", alpha=\"0.06\", expect_size=\"29434880\"] \n  24 -> 25 [size =\"29434880\"]\n  25 [size=\"37158912\", alpha=\"0.17\", expect_size=\"18579456\"] \n  25 -> 26 [size =\"18579456\"]\n  26 [size=\"72480768\", alpha=\"0.09\", expect_size=\"36240384\"] \n  26 -> 27 [size =\"36240384\"]\n  27 [size=\"25561088\", alpha=\"0.07\", expect_size=\"12780544\"] \n  27 -> 28 [size =\"12780544\"]\n  28 [size=\"73367552\", alpha=\"0.00\", expect_size=\"36683776\"] \n  28 -> 29 [size =\"36683776\"]\n  29 [size=\"72357888\", alpha=\"0.16\", expect_size=\"36178944\"] \n  29 -> 30 [size =\"36178944\"]\n  30 [size=\"57194496\", alpha=\"0.09\", expect_size=\"28597248\"] \n  30 -> 31 [size =\"28597248\"]\n  31 [size=\"36114432\", alpha=\"0.18\", expect_size=\"18057216\"] \n  31 -> 32 [size =\"18057216\"]\n  32 [size=\"85006336\", alpha=\"0.16\", expect_size=\"42503168\"] \n  32 -> 33 [size =\"42503168\"]\n  33 [size=\"11993088\", alpha=\"0.13\", expect_size=\"5996544\"] \n  33 -> 34 [size =\"5996544\"]\n  34 [size=\"64741376\", alpha=\"0.04\", expect_size=\"32370688\"] \n  34 -> 35 [size =\"32370688\"]\n  35 [size=\"92534784\", alpha=\"0.05\", expect_size=\"46267392\"] \n  35 -> 36 [size =\"46267392\"]\n  36 [size=\"77658112\", alpha=\"0.14\", expect_size=\"38829056\"] \n  36 -> 37 [size =\"38829056\"]\n  37 [size=\"24911872\", alpha=\"0.19\", expect_size=\"12455936\"] \n  37 -> 38 [size =\"12455936\"]\n  38 [size=\"59424768\", alpha=\"0.07\", expect_size=\"29712384\"] \n  38 -> 39 [size =\"29712384\"]\n  39 [size=\"61534208\", alpha=\"0.03\", expect_size=\"30767104\"] \n  39 -> 40 [size =\"30767104\"]\n  40 [size=\"40376320\", alpha=\"0.08\", expect_size=\"20188160\"] \n  40 -> 41 [size =\"20188160\"]\n  41 [size=\"81647616\", alpha=\"0.11\", expect_size=\"40823808\"] \n  41 -> 42 [size =\"40823808\"]\n  42 [size=\"70668288\", alpha=\"0.11\", expect_size=\"35334144\"] \n  42 -> 43 [size =\"35334144\"]\n  43 [size=\"53477376\", alpha=\"0.05\", expect_size=\"26738688\"] \n  43 -> 44 [size =\"26738688\"]\n  44 [size=\"18616320\", alpha=\"0.09\", expect_size=\"9308160\"] \n  44 -> 45 [size =\"9308160\"]\n  45 [size=\"36435968\", alpha=\"0.18\", expect_size=\"18217984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100913152\", alpha=\"0.10\", expect_size=\"50456576\"] \n  1 -> 29 [size =\"50456576\"]\n  1 -> 34 [size =\"50456576\"]\n  1 -> 38 [size =\"50456576\"]\n  1 -> 43 [size =\"50456576\"]\n  1 -> 45 [size =\"50456576\"]\n  2 [size=\"62169088\", alpha=\"0.11\", expect_size=\"31084544\"] \n  2 -> 31 [size =\"31084544\"]\n  2 -> 32 [size =\"31084544\"]\n  2 -> 38 [size =\"31084544\"]\n  3 [size=\"10690560\", alpha=\"0.19\", expect_size=\"5345280\"] \n  3 -> 31 [size =\"5345280\"]\n  3 -> 34 [size =\"5345280\"]\n  4 [size=\"14946304\", alpha=\"0.13\", expect_size=\"7473152\"] \n  4 -> 29 [size =\"7473152\"]\n  4 -> 31 [size =\"7473152\"]\n  5 [size=\"76955648\", alpha=\"0.04\", expect_size=\"38477824\"] \n  5 -> 29 [size =\"38477824\"]\n  5 -> 30 [size =\"38477824\"]\n  5 -> 31 [size =\"38477824\"]\n  5 -> 32 [size =\"38477824\"]\n  5 -> 36 [size =\"38477824\"]\n  5 -> 39 [size =\"38477824\"]\n  5 -> 43 [size =\"38477824\"]\n  6 [size=\"76216320\", alpha=\"0.10\", expect_size=\"38108160\"] \n  6 -> 31 [size =\"38108160\"]\n  6 -> 34 [size =\"38108160\"]\n  6 -> 38 [size =\"38108160\"]\n  6 -> 39 [size =\"38108160\"]\n  6 -> 43 [size =\"38108160\"]\n  7 [size=\"39624704\", alpha=\"0.18\", expect_size=\"19812352\"] \n  7 -> 31 [size =\"19812352\"]\n  7 -> 33 [size =\"19812352\"]\n  7 -> 34 [size =\"19812352\"]\n  7 -> 39 [size =\"19812352\"]\n  8 [size=\"13189120\", alpha=\"0.07\", expect_size=\"6594560\"] \n  8 -> 33 [size =\"6594560\"]\n  8 -> 39 [size =\"6594560\"]\n  9 [size=\"89610240\", alpha=\"0.15\", expect_size=\"44805120\"] \n  9 -> 31 [size =\"44805120\"]\n  9 -> 33 [size =\"44805120\"]\n  9 -> 34 [size =\"44805120\"]\n  9 -> 35 [size =\"44805120\"]\n  9 -> 45 [size =\"44805120\"]\n  10 [size=\"93313024\", alpha=\"0.01\", expect_size=\"46656512\"] \n  10 -> 32 [size =\"46656512\"]\n  10 -> 33 [size =\"46656512\"]\n  10 -> 34 [size =\"46656512\"]\n  10 -> 39 [size =\"46656512\"]\n  10 -> 45 [size =\"46656512\"]\n  11 [size=\"33394688\", alpha=\"0.09\", expect_size=\"16697344\"] \n  11 -> 31 [size =\"16697344\"]\n  11 -> 34 [size =\"16697344\"]\n  11 -> 34 [size =\"16697344\"]\n  11 -> 35 [size =\"16697344\"]\n  11 -> 39 [size =\"16697344\"]\n  11 -> 42 [size =\"16697344\"]\n  12 [size=\"80742400\", alpha=\"0.01\", expect_size=\"40371200\"] \n  12 -> 31 [size =\"40371200\"]\n  12 -> 34 [size =\"40371200\"]\n  12 -> 36 [size =\"40371200\"]\n  12 -> 38 [size =\"40371200\"]\n  12 -> 42 [size =\"40371200\"]\n  12 -> 42 [size =\"40371200\"]\n  12 -> 43 [size =\"40371200\"]\n  12 -> 45 [size =\"40371200\"]\n  13 [size=\"38461440\", alpha=\"0.01\", expect_size=\"19230720\"] \n  13 -> 34 [size =\"19230720\"]\n  13 -> 43 [size =\"19230720\"]\n  13 -> 45 [size =\"19230720\"]\n  14 [size=\"35555328\", alpha=\"0.06\", expect_size=\"17777664\"] \n  14 -> 33 [size =\"17777664\"]\n  14 -> 37 [size =\"17777664\"]\n  15 [size=\"99096576\", alpha=\"0.08\", expect_size=\"49548288\"] \n  15 -> 29 [size =\"49548288\"]\n  15 -> 31 [size =\"49548288\"]\n  15 -> 32 [size =\"49548288\"]\n  15 -> 35 [size =\"49548288\"]\n  15 -> 38 [size =\"49548288\"]\n  15 -> 41 [size =\"49548288\"]\n  16 [size=\"23097344\", alpha=\"0.18\", expect_size=\"11548672\"] \n  16 -> 29 [size =\"11548672\"]\n  16 -> 32 [size =\"11548672\"]\n  16 -> 33 [size =\"11548672\"]\n  16 -> 38 [size =\"11548672\"]\n  16 -> 42 [size =\"11548672\"]\n  16 -> 45 [size =\"11548672\"]\n  17 [size=\"71917568\", alpha=\"0.13\", expect_size=\"35958784\"] \n  17 -> 29 [size =\"35958784\"]\n  17 -> 30 [size =\"35958784\"]\n  17 -> 33 [size =\"35958784\"]\n  17 -> 43 [size =\"35958784\"]\n  17 -> 44 [size =\"35958784\"]\n  18 [size=\"61419520\", alpha=\"0.02\", expect_size=\"30709760\"] \n  18 -> 33 [size =\"30709760\"]\n  18 -> 34 [size =\"30709760\"]\n  18 -> 36 [size =\"30709760\"]\n  18 -> 37 [size =\"30709760\"]\n  18 -> 43 [size =\"30709760\"]\n  19 [size=\"96137216\", alpha=\"0.03\", expect_size=\"48068608\"] \n  19 -> 31 [size =\"48068608\"]\n  19 -> 33 [size =\"48068608\"]\n  19 -> 36 [size =\"48068608\"]\n  19 -> 38 [size =\"48068608\"]\n  19 -> 39 [size =\"48068608\"]\n  19 -> 40 [size =\"48068608\"]\n  19 -> 45 [size =\"48068608\"]\n  20 [size=\"73811968\", alpha=\"0.08\", expect_size=\"36905984\"] \n  20 -> 33 [size =\"36905984\"]\n  20 -> 34 [size =\"36905984\"]\n  20 -> 36 [size =\"36905984\"]\n  20 -> 37 [size =\"36905984\"]\n  20 -> 40 [size =\"36905984\"]\n  21 [size=\"78927872\", alpha=\"0.13\", expect_size=\"39463936\"] \n  21 -> 30 [size =\"39463936\"]\n  21 -> 33 [size =\"39463936\"]\n  21 -> 36 [size =\"39463936\"]\n  21 -> 43 [size =\"39463936\"]\n  22 [size=\"25477120\", alpha=\"0.08\", expect_size=\"12738560\"] \n  22 -> 31 [size =\"12738560\"]\n  22 -> 34 [size =\"12738560\"]\n  22 -> 41 [size =\"12738560\"]\n  22 -> 45 [size =\"12738560\"]\n  23 [size=\"29964288\", alpha=\"0.04\", expect_size=\"14982144\"] \n  23 -> 35 [size =\"14982144\"]\n  23 -> 39 [size =\"14982144\"]\n  23 -> 41 [size =\"14982144\"]\n  24 [size=\"35086336\", alpha=\"0.00\", expect_size=\"17543168\"] \n  24 -> 31 [size =\"17543168\"]\n  24 -> 33 [size =\"17543168\"]\n  24 -> 41 [size =\"17543168\"]\n  24 -> 43 [size =\"17543168\"]\n  24 -> 45 [size =\"17543168\"]\n  25 [size=\"65673216\", alpha=\"0.11\", expect_size=\"32836608\"] \n  25 -> 32 [size =\"32836608\"]\n  25 -> 33 [size =\"32836608\"]\n  25 -> 34 [size =\"32836608\"]\n  25 -> 43 [size =\"32836608\"]\n  25 -> 45 [size =\"32836608\"]\n  26 [size=\"101922816\", alpha=\"0.15\", expect_size=\"50961408\"] \n  26 -> 31 [size =\"50961408\"]\n  26 -> 33 [size =\"50961408\"]\n  26 -> 35 [size =\"50961408\"]\n  26 -> 38 [size =\"50961408\"]\n  26 -> 39 [size =\"50961408\"]\n  26 -> 41 [size =\"50961408\"]\n  26 -> 45 [size =\"50961408\"]\n  27 [size=\"92692480\", alpha=\"0.06\", expect_size=\"46346240\"] \n  27 -> 29 [size =\"46346240\"]\n  27 -> 31 [size =\"46346240\"]\n  27 -> 33 [size =\"46346240\"]\n  27 -> 38 [size =\"46346240\"]\n  27 -> 39 [size =\"46346240\"]\n  27 -> 43 [size =\"46346240\"]\n  27 -> 45 [size =\"46346240\"]\n  28 [size=\"61118464\", alpha=\"0.17\", expect_size=\"30559232\"] \n  28 -> 29 [size =\"30559232\"]\n  28 -> 33 [size =\"30559232\"]\n  28 -> 33 [size =\"30559232\"]\n  28 -> 35 [size =\"30559232\"]\n  28 -> 36 [size =\"30559232\"]\n  28 -> 38 [size =\"30559232\"]\n  28 -> 43 [size =\"30559232\"]\n  28 -> 45 [size =\"30559232\"]\n  29 [size=\"69971968\", alpha=\"0.05\", expect_size=\"34985984\"] \n  30 [size=\"84084736\", alpha=\"0.10\", expect_size=\"42042368\"] \n  31 [size=\"28831744\", alpha=\"0.01\", expect_size=\"14415872\"] \n  32 [size=\"89016320\", alpha=\"0.06\", expect_size=\"44508160\"] \n  33 [size=\"33208320\", alpha=\"0.17\", expect_size=\"16604160\"] \n  34 [size=\"50354176\", alpha=\"0.13\", expect_size=\"25177088\"] \n  35 [size=\"50548736\", alpha=\"0.09\", expect_size=\"25274368\"] \n  36 [size=\"100257792\", alpha=\"0.07\", expect_size=\"50128896\"] \n  37 [size=\"76474368\", alpha=\"0.18\", expect_size=\"38237184\"] \n  38 [size=\"102707200\", alpha=\"0.19\", expect_size=\"51353600\"] \n  39 [size=\"87289856\", alpha=\"0.19\", expect_size=\"43644928\"] \n  40 [size=\"14974976\", alpha=\"0.13\", expect_size=\"7487488\"] \n  41 [size=\"62961664\", alpha=\"0.00\", expect_size=\"31480832\"] \n  42 [size=\"65419264\", alpha=\"0.11\", expect_size=\"32709632\"] \n  43 [size=\"92600320\", alpha=\"0.06\", expect_size=\"46300160\"] \n  44 [size=\"78114816\", alpha=\"0.07\", expect_size=\"39057408\"] \n  45 [size=\"47032320\", alpha=\"0.19\", expect_size=\"23516160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106393600\", alpha=\"0.17\", expect_size=\"31918080\"] \n  1 -> 32 [size =\"31918080\"]\n  1 -> 35 [size =\"31918080\"]\n  1 -> 38 [size =\"31918080\"]\n  1 -> 45 [size =\"31918080\"]\n  2 [size=\"94771200\", alpha=\"0.13\", expect_size=\"28431360\"] \n  2 -> 32 [size =\"28431360\"]\n  2 -> 38 [size =\"28431360\"]\n  2 -> 38 [size =\"28431360\"]\n  2 -> 45 [size =\"28431360\"]\n  3 [size=\"35662507\", alpha=\"0.10\", expect_size=\"10698752\"] \n  3 -> 34 [size =\"10698752\"]\n  3 -> 41 [size =\"10698752\"]\n  3 -> 44 [size =\"10698752\"]\n  3 -> 45 [size =\"10698752\"]\n  4 [size=\"154941440\", alpha=\"0.16\", expect_size=\"46482432\"] \n  4 -> 39 [size =\"46482432\"]\n  4 -> 41 [size =\"46482432\"]\n  4 -> 45 [size =\"46482432\"]\n  4 -> 45 [size =\"46482432\"]\n  5 [size=\"126167040\", alpha=\"0.01\", expect_size=\"37850112\"] \n  5 -> 33 [size =\"37850112\"]\n  5 -> 39 [size =\"37850112\"]\n  6 [size=\"132167680\", alpha=\"0.07\", expect_size=\"39650304\"] \n  6 -> 32 [size =\"39650304\"]\n  6 -> 34 [size =\"39650304\"]\n  6 -> 35 [size =\"39650304\"]\n  6 -> 41 [size =\"39650304\"]\n  6 -> 45 [size =\"39650304\"]\n  7 [size=\"168232960\", alpha=\"0.16\", expect_size=\"50469888\"] \n  7 -> 34 [size =\"50469888\"]\n  7 -> 34 [size =\"50469888\"]\n  7 -> 38 [size =\"50469888\"]\n  7 -> 44 [size =\"50469888\"]\n  7 -> 45 [size =\"50469888\"]\n  8 [size=\"61037227\", alpha=\"0.07\", expect_size=\"18311168\"] \n  8 -> 34 [size =\"18311168\"]\n  8 -> 40 [size =\"18311168\"]\n  8 -> 44 [size =\"18311168\"]\n  8 -> 45 [size =\"18311168\"]\n  9 [size=\"137861120\", alpha=\"0.09\", expect_size=\"41358336\"] \n  9 -> 34 [size =\"41358336\"]\n  9 -> 38 [size =\"41358336\"]\n  10 [size=\"98392747\", alpha=\"0.19\", expect_size=\"29517824\"] \n  10 -> 32 [size =\"29517824\"]\n  10 -> 33 [size =\"29517824\"]\n  10 -> 37 [size =\"29517824\"]\n  10 -> 38 [size =\"29517824\"]\n  11 [size=\"50158933\", alpha=\"0.10\", expect_size=\"15047680\"] \n  11 -> 32 [size =\"15047680\"]\n  11 -> 35 [size =\"15047680\"]\n  11 -> 38 [size =\"15047680\"]\n  11 -> 39 [size =\"15047680\"]\n  12 [size=\"30091947\", alpha=\"0.17\", expect_size=\"9027584\"] \n  12 -> 32 [size =\"9027584\"]\n  12 -> 33 [size =\"9027584\"]\n  12 -> 35 [size =\"9027584\"]\n  12 -> 40 [size =\"9027584\"]\n  12 -> 41 [size =\"9027584\"]\n  13 [size=\"131590827\", alpha=\"0.10\", expect_size=\"39477248\"] \n  13 -> 34 [size =\"39477248\"]\n  13 -> 35 [size =\"39477248\"]\n  13 -> 41 [size =\"39477248\"]\n  14 [size=\"51729067\", alpha=\"0.12\", expect_size=\"15518720\"] \n  14 -> 33 [size =\"15518720\"]\n  14 -> 35 [size =\"15518720\"]\n  14 -> 39 [size =\"15518720\"]\n  15 [size=\"174718293\", alpha=\"0.02\", expect_size=\"52415488\"] \n  15 -> 34 [size =\"52415488\"]\n  15 -> 35 [size =\"52415488\"]\n  15 -> 38 [size =\"52415488\"]\n  15 -> 40 [size =\"52415488\"]\n  16 [size=\"27531947\", alpha=\"0.10\", expect_size=\"8259584\"] \n  16 -> 34 [size =\"8259584\"]\n  16 -> 35 [size =\"8259584\"]\n  16 -> 38 [size =\"8259584\"]\n  16 -> 40 [size =\"8259584\"]\n  17 [size=\"82391040\", alpha=\"0.17\", expect_size=\"24717312\"] \n  17 -> 34 [size =\"24717312\"]\n  17 -> 38 [size =\"24717312\"]\n  17 -> 38 [size =\"24717312\"]\n  17 -> 40 [size =\"24717312\"]\n  17 -> 45 [size =\"24717312\"]\n  18 [size=\"51554987\", alpha=\"0.05\", expect_size=\"15466496\"] \n  18 -> 34 [size =\"15466496\"]\n  18 -> 36 [size =\"15466496\"]\n  18 -> 38 [size =\"15466496\"]\n  18 -> 39 [size =\"15466496\"]\n  18 -> 40 [size =\"15466496\"]\n  18 -> 41 [size =\"15466496\"]\n  18 -> 43 [size =\"15466496\"]\n  19 [size=\"104744960\", alpha=\"0.05\", expect_size=\"31423488\"] \n  19 -> 34 [size =\"31423488\"]\n  19 -> 35 [size =\"31423488\"]\n  19 -> 38 [size =\"31423488\"]\n  19 -> 39 [size =\"31423488\"]\n  19 -> 40 [size =\"31423488\"]\n  19 -> 41 [size =\"31423488\"]\n  19 -> 42 [size =\"31423488\"]\n  20 [size=\"20230827\", alpha=\"0.05\", expect_size=\"6069248\"] \n  20 -> 31 [size =\"6069248\"]\n  20 -> 33 [size =\"6069248\"]\n  20 -> 34 [size =\"6069248\"]\n  20 -> 35 [size =\"6069248\"]\n  20 -> 38 [size =\"6069248\"]\n  20 -> 40 [size =\"6069248\"]\n  21 [size=\"173277867\", alpha=\"0.16\", expect_size=\"51983360\"] \n  21 -> 34 [size =\"51983360\"]\n  21 -> 37 [size =\"51983360\"]\n  21 -> 38 [size =\"51983360\"]\n  21 -> 39 [size =\"51983360\"]\n  21 -> 40 [size =\"51983360\"]\n  21 -> 41 [size =\"51983360\"]\n  22 [size=\"94016853\", alpha=\"0.18\", expect_size=\"28205056\"] \n  22 -> 34 [size =\"28205056\"]\n  22 -> 37 [size =\"28205056\"]\n  22 -> 38 [size =\"28205056\"]\n  22 -> 40 [size =\"28205056\"]\n  22 -> 40 [size =\"28205056\"]\n  22 -> 41 [size =\"28205056\"]\n  22 -> 44 [size =\"28205056\"]\n  23 [size=\"68218880\", alpha=\"0.01\", expect_size=\"20465664\"] \n  23 -> 34 [size =\"20465664\"]\n  23 -> 35 [size =\"20465664\"]\n  23 -> 38 [size =\"20465664\"]\n  23 -> 39 [size =\"20465664\"]\n  23 -> 40 [size =\"20465664\"]\n  23 -> 41 [size =\"20465664\"]\n  23 -> 45 [size =\"20465664\"]\n  24 [size=\"149490347\", alpha=\"0.02\", expect_size=\"44847104\"] \n  24 -> 32 [size =\"44847104\"]\n  24 -> 34 [size =\"44847104\"]\n  24 -> 38 [size =\"44847104\"]\n  24 -> 40 [size =\"44847104\"]\n  24 -> 41 [size =\"44847104\"]\n  24 -> 45 [size =\"44847104\"]\n  25 [size=\"85712213\", alpha=\"0.17\", expect_size=\"25713664\"] \n  25 -> 34 [size =\"25713664\"]\n  25 -> 34 [size =\"25713664\"]\n  25 -> 40 [size =\"25713664\"]\n  25 -> 41 [size =\"25713664\"]\n  26 [size=\"98300587\", alpha=\"0.07\", expect_size=\"29490176\"] \n  26 -> 35 [size =\"29490176\"]\n  26 -> 37 [size =\"29490176\"]\n  26 -> 40 [size =\"29490176\"]\n  27 [size=\"18370560\", alpha=\"0.16\", expect_size=\"5511168\"] \n  27 -> 33 [size =\"5511168\"]\n  27 -> 37 [size =\"5511168\"]\n  27 -> 38 [size =\"5511168\"]\n  27 -> 39 [size =\"5511168\"]\n  28 [size=\"155521707\", alpha=\"0.10\", expect_size=\"46656512\"] \n  28 -> 33 [size =\"46656512\"]\n  28 -> 39 [size =\"46656512\"]\n  28 -> 45 [size =\"46656512\"]\n  29 [size=\"40601600\", alpha=\"0.19\", expect_size=\"12180480\"] \n  29 -> 38 [size =\"12180480\"]\n  29 -> 39 [size =\"12180480\"]\n  29 -> 40 [size =\"12180480\"]\n  30 [size=\"76352853\", alpha=\"0.19\", expect_size=\"22905856\"] \n  30 -> 32 [size =\"22905856\"]\n  30 -> 34 [size =\"22905856\"]\n  30 -> 38 [size =\"22905856\"]\n  30 -> 45 [size =\"22905856\"]\n  31 [size=\"113670827\", alpha=\"0.03\", expect_size=\"34101248\"] \n  32 [size=\"84189867\", alpha=\"0.09\", expect_size=\"25256960\"] \n  33 [size=\"65204907\", alpha=\"0.09\", expect_size=\"19561472\"] \n  34 [size=\"74905600\", alpha=\"0.13\", expect_size=\"22471680\"] \n  35 [size=\"93474133\", alpha=\"0.18\", expect_size=\"28042240\"] \n  36 [size=\"72314880\", alpha=\"0.04\", expect_size=\"21694464\"] \n  37 [size=\"126122667\", alpha=\"0.18\", expect_size=\"37836800\"] \n  38 [size=\"91081387\", alpha=\"0.16\", expect_size=\"27324416\"] \n  39 [size=\"168045227\", alpha=\"0.05\", expect_size=\"50413568\"] \n  40 [size=\"162822827\", alpha=\"0.15\", expect_size=\"48846848\"] \n  41 [size=\"156337493\", alpha=\"0.05\", expect_size=\"46901248\"] \n  42 [size=\"23982080\", alpha=\"0.04\", expect_size=\"7194624\"] \n  43 [size=\"92948480\", alpha=\"0.10\", expect_size=\"27884544\"] \n  44 [size=\"162778453\", alpha=\"0.12\", expect_size=\"48833536\"] \n  45 [size=\"110438400\", alpha=\"0.04\", expect_size=\"33131520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90685440\", alpha=\"0.19\", expect_size=\"36274176\"] \n  1 -> 22 [size =\"36274176\"]\n  1 -> 33 [size =\"36274176\"]\n  2 [size=\"19635200\", alpha=\"0.04\", expect_size=\"7854080\"] \n  2 -> 23 [size =\"7854080\"]\n  2 -> 25 [size =\"7854080\"]\n  2 -> 33 [size =\"7854080\"]\n  2 -> 34 [size =\"7854080\"]\n  3 [size=\"53475840\", alpha=\"0.04\", expect_size=\"21390336\"] \n  3 -> 23 [size =\"21390336\"]\n  3 -> 24 [size =\"21390336\"]\n  3 -> 25 [size =\"21390336\"]\n  3 -> 26 [size =\"21390336\"]\n  3 -> 30 [size =\"21390336\"]\n  3 -> 32 [size =\"21390336\"]\n  4 [size=\"115868160\", alpha=\"0.03\", expect_size=\"46347264\"] \n  4 -> 23 [size =\"46347264\"]\n  4 -> 24 [size =\"46347264\"]\n  4 -> 26 [size =\"46347264\"]\n  4 -> 28 [size =\"46347264\"]\n  4 -> 30 [size =\"46347264\"]\n  4 -> 34 [size =\"46347264\"]\n  4 -> 35 [size =\"46347264\"]\n  4 -> 36 [size =\"46347264\"]\n  5 [size=\"59566080\", alpha=\"0.05\", expect_size=\"23826432\"] \n  5 -> 22 [size =\"23826432\"]\n  5 -> 23 [size =\"23826432\"]\n  5 -> 28 [size =\"23826432\"]\n  5 -> 31 [size =\"23826432\"]\n  5 -> 32 [size =\"23826432\"]\n  5 -> 35 [size =\"23826432\"]\n  5 -> 35 [size =\"23826432\"]\n  5 -> 36 [size =\"23826432\"]\n  6 [size=\"105753600\", alpha=\"0.12\", expect_size=\"42301440\"] \n  6 -> 22 [size =\"42301440\"]\n  6 -> 23 [size =\"42301440\"]\n  6 -> 25 [size =\"42301440\"]\n  6 -> 26 [size =\"42301440\"]\n  6 -> 28 [size =\"42301440\"]\n  6 -> 31 [size =\"42301440\"]\n  7 [size=\"127956480\", alpha=\"0.00\", expect_size=\"51182592\"] \n  7 -> 22 [size =\"51182592\"]\n  7 -> 23 [size =\"51182592\"]\n  7 -> 28 [size =\"51182592\"]\n  7 -> 31 [size =\"51182592\"]\n  8 [size=\"53086720\", alpha=\"0.03\", expect_size=\"21234688\"] \n  8 -> 25 [size =\"21234688\"]\n  8 -> 26 [size =\"21234688\"]\n  8 -> 30 [size =\"21234688\"]\n  9 [size=\"110812160\", alpha=\"0.02\", expect_size=\"44324864\"] \n  9 -> 29 [size =\"44324864\"]\n  9 -> 30 [size =\"44324864\"]\n  10 [size=\"97768960\", alpha=\"0.03\", expect_size=\"39107584\"] \n  10 -> 23 [size =\"39107584\"]\n  10 -> 24 [size =\"39107584\"]\n  10 -> 26 [size =\"39107584\"]\n  10 -> 30 [size =\"39107584\"]\n  11 [size=\"58406400\", alpha=\"0.17\", expect_size=\"23362560\"] \n  11 -> 24 [size =\"23362560\"]\n  11 -> 25 [size =\"23362560\"]\n  11 -> 27 [size =\"23362560\"]\n  11 -> 30 [size =\"23362560\"]\n  12 [size=\"49920000\", alpha=\"0.02\", expect_size=\"19968000\"] \n  12 -> 23 [size =\"19968000\"]\n  12 -> 24 [size =\"19968000\"]\n  12 -> 28 [size =\"19968000\"]\n  12 -> 30 [size =\"19968000\"]\n  13 [size=\"75955200\", alpha=\"0.12\", expect_size=\"30382080\"] \n  13 -> 28 [size =\"30382080\"]\n  13 -> 30 [size =\"30382080\"]\n  13 -> 35 [size =\"30382080\"]\n  14 [size=\"98465280\", alpha=\"0.20\", expect_size=\"39386112\"] \n  14 -> 26 [size =\"39386112\"]\n  14 -> 27 [size =\"39386112\"]\n  14 -> 28 [size =\"39386112\"]\n  14 -> 30 [size =\"39386112\"]\n  14 -> 36 [size =\"39386112\"]\n  15 [size=\"118049280\", alpha=\"0.18\", expect_size=\"47219712\"] \n  15 -> 26 [size =\"47219712\"]\n  15 -> 27 [size =\"47219712\"]\n  15 -> 28 [size =\"47219712\"]\n  15 -> 30 [size =\"47219712\"]\n  15 -> 32 [size =\"47219712\"]\n  16 [size=\"29335040\", alpha=\"0.11\", expect_size=\"11734016\"] \n  16 -> 23 [size =\"11734016\"]\n  16 -> 28 [size =\"11734016\"]\n  16 -> 31 [size =\"11734016\"]\n  17 [size=\"99125760\", alpha=\"0.05\", expect_size=\"39650304\"] \n  17 -> 22 [size =\"39650304\"]\n  17 -> 27 [size =\"39650304\"]\n  17 -> 28 [size =\"39650304\"]\n  17 -> 31 [size =\"39650304\"]\n  17 -> 35 [size =\"39650304\"]\n  17 -> 36 [size =\"39650304\"]\n  18 [size=\"99758080\", alpha=\"0.01\", expect_size=\"39903232\"] \n  18 -> 22 [size =\"39903232\"]\n  18 -> 28 [size =\"39903232\"]\n  18 -> 34 [size =\"39903232\"]\n  18 -> 36 [size =\"39903232\"]\n  19 [size=\"119618560\", alpha=\"0.03\", expect_size=\"47847424\"] \n  19 -> 22 [size =\"47847424\"]\n  19 -> 24 [size =\"47847424\"]\n  19 -> 25 [size =\"47847424\"]\n  20 [size=\"16074240\", alpha=\"0.10\", expect_size=\"6429696\"] \n  20 -> 22 [size =\"6429696\"]\n  20 -> 25 [size =\"6429696\"]\n  20 -> 27 [size =\"6429696\"]\n  20 -> 35 [size =\"6429696\"]\n  21 [size=\"32317440\", alpha=\"0.10\", expect_size=\"12926976\"] \n  21 -> 22 [size =\"12926976\"]\n  21 -> 23 [size =\"12926976\"]\n  21 -> 27 [size =\"12926976\"]\n  21 -> 31 [size =\"12926976\"]\n  21 -> 35 [size =\"12926976\"]\n  22 [size=\"17361920\", alpha=\"0.11\", expect_size=\"6944768\"] \n  22 -> 38 [size =\"6944768\"]\n  22 -> 39 [size =\"6944768\"]\n  22 -> 40 [size =\"6944768\"]\n  22 -> 43 [size =\"6944768\"]\n  23 [size=\"29468160\", alpha=\"0.19\", expect_size=\"11787264\"] \n  23 -> 37 [size =\"11787264\"]\n  23 -> 38 [size =\"11787264\"]\n  23 -> 39 [size =\"11787264\"]\n  23 -> 41 [size =\"11787264\"]\n  24 [size=\"101015040\", alpha=\"0.05\", expect_size=\"40406016\"] \n  24 -> 37 [size =\"40406016\"]\n  24 -> 40 [size =\"40406016\"]\n  24 -> 42 [size =\"40406016\"]\n  25 [size=\"99031040\", alpha=\"0.18\", expect_size=\"39612416\"] \n  25 -> 43 [size =\"39612416\"]\n  26 [size=\"87226880\", alpha=\"0.07\", expect_size=\"34890752\"] \n  26 -> 37 [size =\"34890752\"]\n  26 -> 39 [size =\"34890752\"]\n  27 [size=\"35261440\", alpha=\"0.16\", expect_size=\"14104576\"] \n  27 -> 37 [size =\"14104576\"]\n  27 -> 38 [size =\"14104576\"]\n  27 -> 40 [size =\"14104576\"]\n  27 -> 41 [size =\"14104576\"]\n  27 -> 43 [size =\"14104576\"]\n  28 [size=\"65162240\", alpha=\"0.11\", expect_size=\"26064896\"] \n  28 -> 38 [size =\"26064896\"]\n  28 -> 40 [size =\"26064896\"]\n  28 -> 42 [size =\"26064896\"]\n  28 -> 43 [size =\"26064896\"]\n  28 -> 45 [size =\"26064896\"]\n  29 [size=\"68869120\", alpha=\"0.03\", expect_size=\"27547648\"] \n  29 -> 39 [size =\"27547648\"]\n  29 -> 42 [size =\"27547648\"]\n  29 -> 43 [size =\"27547648\"]\n  29 -> 43 [size =\"27547648\"]\n  29 -> 44 [size =\"27547648\"]\n  29 -> 45 [size =\"27547648\"]\n  30 [size=\"87324160\", alpha=\"0.09\", expect_size=\"34929664\"] \n  31 [size=\"28810240\", alpha=\"0.03\", expect_size=\"11524096\"] \n  32 [size=\"88870400\", alpha=\"0.03\", expect_size=\"35548160\"] \n  32 -> 37 [size =\"35548160\"]\n  32 -> 42 [size =\"35548160\"]\n  33 [size=\"38105600\", alpha=\"0.14\", expect_size=\"15242240\"] \n  33 -> 37 [size =\"15242240\"]\n  33 -> 38 [size =\"15242240\"]\n  33 -> 39 [size =\"15242240\"]\n  33 -> 42 [size =\"15242240\"]\n  34 [size=\"34844160\", alpha=\"0.19\", expect_size=\"13937664\"] \n  34 -> 41 [size =\"13937664\"]\n  34 -> 42 [size =\"13937664\"]\n  35 [size=\"63889920\", alpha=\"0.03\", expect_size=\"25555968\"] \n  35 -> 38 [size =\"25555968\"]\n  35 -> 39 [size =\"25555968\"]\n  35 -> 42 [size =\"25555968\"]\n  36 [size=\"53736960\", alpha=\"0.08\", expect_size=\"21494784\"] \n  36 -> 38 [size =\"21494784\"]\n  36 -> 39 [size =\"21494784\"]\n  37 [size=\"97034240\", alpha=\"0.09\", expect_size=\"38813696\"] \n  38 [size=\"72701440\", alpha=\"0.04\", expect_size=\"29080576\"] \n  39 [size=\"20723200\", alpha=\"0.17\", expect_size=\"8289280\"] \n  40 [size=\"38801920\", alpha=\"0.11\", expect_size=\"15520768\"] \n  41 [size=\"93637120\", alpha=\"0.08\", expect_size=\"37454848\"] \n  42 [size=\"112563200\", alpha=\"0.05\", expect_size=\"45025280\"] \n  43 [size=\"14428160\", alpha=\"0.06\", expect_size=\"5771264\"] \n  44 [size=\"98014720\", alpha=\"0.01\", expect_size=\"39205888\"] \n  45 [size=\"94781440\", alpha=\"0.11\", expect_size=\"37912576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59827200\", alpha=\"0.11\", expect_size=\"23930880\"] \n  1 -> 7 [size =\"23930880\"]\n  1 -> 9 [size =\"23930880\"]\n  1 -> 11 [size =\"23930880\"]\n  1 -> 12 [size =\"23930880\"]\n  2 [size=\"120519680\", alpha=\"0.10\", expect_size=\"48207872\"] \n  2 -> 7 [size =\"48207872\"]\n  2 -> 9 [size =\"48207872\"]\n  2 -> 10 [size =\"48207872\"]\n  2 -> 11 [size =\"48207872\"]\n  2 -> 12 [size =\"48207872\"]\n  3 [size=\"109578240\", alpha=\"0.01\", expect_size=\"43831296\"] \n  3 -> 7 [size =\"43831296\"]\n  3 -> 9 [size =\"43831296\"]\n  3 -> 11 [size =\"43831296\"]\n  3 -> 12 [size =\"43831296\"]\n  4 [size=\"77877760\", alpha=\"0.08\", expect_size=\"31151104\"] \n  4 -> 7 [size =\"31151104\"]\n  4 -> 11 [size =\"31151104\"]\n  5 [size=\"60336640\", alpha=\"0.17\", expect_size=\"24134656\"] \n  5 -> 8 [size =\"24134656\"]\n  6 [size=\"40230400\", alpha=\"0.02\", expect_size=\"16092160\"] \n  6 -> 9 [size =\"16092160\"]\n  6 -> 11 [size =\"16092160\"]\n  7 [size=\"74201600\", alpha=\"0.14\", expect_size=\"29680640\"] \n  7 -> 13 [size =\"29680640\"]\n  7 -> 14 [size =\"29680640\"]\n  7 -> 15 [size =\"29680640\"]\n  8 [size=\"26844160\", alpha=\"0.09\", expect_size=\"10737664\"] \n  8 -> 14 [size =\"10737664\"]\n  8 -> 16 [size =\"10737664\"]\n  9 [size=\"19532800\", alpha=\"0.01\", expect_size=\"7813120\"] \n  9 -> 13 [size =\"7813120\"]\n  9 -> 16 [size =\"7813120\"]\n  9 -> 18 [size =\"7813120\"]\n  10 [size=\"108198400\", alpha=\"0.09\", expect_size=\"43279360\"] \n  10 -> 14 [size =\"43279360\"]\n  10 -> 16 [size =\"43279360\"]\n  10 -> 18 [size =\"43279360\"]\n  11 [size=\"120921600\", alpha=\"0.19\", expect_size=\"48368640\"] \n  11 -> 13 [size =\"48368640\"]\n  11 -> 14 [size =\"48368640\"]\n  11 -> 17 [size =\"48368640\"]\n  11 -> 18 [size =\"48368640\"]\n  12 [size=\"68385280\", alpha=\"0.15\", expect_size=\"27354112\"] \n  12 -> 13 [size =\"27354112\"]\n  12 -> 16 [size =\"27354112\"]\n  12 -> 18 [size =\"27354112\"]\n  13 [size=\"128537600\", alpha=\"0.11\", expect_size=\"51415040\"] \n  13 -> 21 [size =\"51415040\"]\n  13 -> 22 [size =\"51415040\"]\n  13 -> 24 [size =\"51415040\"]\n  14 [size=\"16284160\", alpha=\"0.09\", expect_size=\"6513664\"] \n  14 -> 20 [size =\"6513664\"]\n  14 -> 21 [size =\"6513664\"]\n  14 -> 23 [size =\"6513664\"]\n  15 [size=\"61603840\", alpha=\"0.18\", expect_size=\"24641536\"] \n  15 -> 21 [size =\"24641536\"]\n  15 -> 23 [size =\"24641536\"]\n  16 [size=\"42613760\", alpha=\"0.19\", expect_size=\"17045504\"] \n  16 -> 21 [size =\"17045504\"]\n  16 -> 23 [size =\"17045504\"]\n  17 [size=\"51939840\", alpha=\"0.05\", expect_size=\"20775936\"] \n  17 -> 19 [size =\"20775936\"]\n  17 -> 20 [size =\"20775936\"]\n  17 -> 21 [size =\"20775936\"]\n  17 -> 22 [size =\"20775936\"]\n  17 -> 23 [size =\"20775936\"]\n  18 [size=\"17251840\", alpha=\"0.10\", expect_size=\"6900736\"] \n  18 -> 19 [size =\"6900736\"]\n  18 -> 22 [size =\"6900736\"]\n  19 [size=\"71925760\", alpha=\"0.05\", expect_size=\"28770304\"] \n  19 -> 26 [size =\"28770304\"]\n  19 -> 27 [size =\"28770304\"]\n  19 -> 28 [size =\"28770304\"]\n  20 [size=\"75425280\", alpha=\"0.10\", expect_size=\"30170112\"] \n  20 -> 25 [size =\"30170112\"]\n  20 -> 26 [size =\"30170112\"]\n  20 -> 27 [size =\"30170112\"]\n  20 -> 28 [size =\"30170112\"]\n  20 -> 30 [size =\"30170112\"]\n  21 [size=\"127001600\", alpha=\"0.02\", expect_size=\"50800640\"] \n  21 -> 26 [size =\"50800640\"]\n  21 -> 27 [size =\"50800640\"]\n  21 -> 28 [size =\"50800640\"]\n  21 -> 29 [size =\"50800640\"]\n  22 [size=\"118525440\", alpha=\"0.13\", expect_size=\"47410176\"] \n  22 -> 26 [size =\"47410176\"]\n  22 -> 28 [size =\"47410176\"]\n  22 -> 29 [size =\"47410176\"]\n  22 -> 30 [size =\"47410176\"]\n  23 [size=\"89392640\", alpha=\"0.00\", expect_size=\"35757056\"] \n  23 -> 27 [size =\"35757056\"]\n  23 -> 30 [size =\"35757056\"]\n  24 [size=\"36195840\", alpha=\"0.19\", expect_size=\"14478336\"] \n  24 -> 26 [size =\"14478336\"]\n  25 [size=\"90186240\", alpha=\"0.05\", expect_size=\"36074496\"] \n  25 -> 31 [size =\"36074496\"]\n  25 -> 32 [size =\"36074496\"]\n  25 -> 34 [size =\"36074496\"]\n  25 -> 35 [size =\"36074496\"]\n  26 [size=\"78328320\", alpha=\"0.16\", expect_size=\"31331328\"] \n  26 -> 32 [size =\"31331328\"]\n  26 -> 33 [size =\"31331328\"]\n  26 -> 35 [size =\"31331328\"]\n  27 [size=\"72253440\", alpha=\"0.17\", expect_size=\"28901376\"] \n  27 -> 31 [size =\"28901376\"]\n  27 -> 32 [size =\"28901376\"]\n  28 [size=\"104204800\", alpha=\"0.00\", expect_size=\"41681920\"] \n  28 -> 31 [size =\"41681920\"]\n  28 -> 33 [size =\"41681920\"]\n  28 -> 34 [size =\"41681920\"]\n  28 -> 35 [size =\"41681920\"]\n  29 [size=\"42449920\", alpha=\"0.05\", expect_size=\"16979968\"] \n  29 -> 32 [size =\"16979968\"]\n  29 -> 33 [size =\"16979968\"]\n  29 -> 35 [size =\"16979968\"]\n  30 [size=\"73210880\", alpha=\"0.05\", expect_size=\"29284352\"] \n  31 [size=\"13616640\", alpha=\"0.04\", expect_size=\"5446656\"] \n  31 -> 36 [size =\"5446656\"]\n  31 -> 38 [size =\"5446656\"]\n  32 [size=\"28349440\", alpha=\"0.13\", expect_size=\"11339776\"] \n  32 -> 38 [size =\"11339776\"]\n  33 [size=\"106862080\", alpha=\"0.00\", expect_size=\"42744832\"] \n  33 -> 37 [size =\"42744832\"]\n  33 -> 38 [size =\"42744832\"]\n  33 -> 39 [size =\"42744832\"]\n  34 [size=\"109696000\", alpha=\"0.09\", expect_size=\"43878400\"] \n  34 -> 37 [size =\"43878400\"]\n  34 -> 38 [size =\"43878400\"]\n  35 [size=\"101621760\", alpha=\"0.05\", expect_size=\"40648704\"] \n  35 -> 40 [size =\"40648704\"]\n  36 [size=\"129873920\", alpha=\"0.07\", expect_size=\"51949568\"] \n  36 -> 41 [size =\"51949568\"]\n  36 -> 43 [size =\"51949568\"]\n  36 -> 44 [size =\"51949568\"]\n  37 [size=\"103610880\", alpha=\"0.15\", expect_size=\"41444352\"] \n  37 -> 42 [size =\"41444352\"]\n  37 -> 44 [size =\"41444352\"]\n  37 -> 45 [size =\"41444352\"]\n  38 [size=\"83929600\", alpha=\"0.04\", expect_size=\"33571840\"] \n  38 -> 41 [size =\"33571840\"]\n  38 -> 43 [size =\"33571840\"]\n  38 -> 44 [size =\"33571840\"]\n  38 -> 45 [size =\"33571840\"]\n  39 [size=\"84567040\", alpha=\"0.03\", expect_size=\"33826816\"] \n  39 -> 44 [size =\"33826816\"]\n  39 -> 45 [size =\"33826816\"]\n  40 [size=\"111946240\", alpha=\"0.13\", expect_size=\"44778496\"] \n  41 [size=\"25236480\", alpha=\"0.01\", expect_size=\"10094592\"] \n  42 [size=\"50211840\", alpha=\"0.08\", expect_size=\"20084736\"] \n  43 [size=\"124185600\", alpha=\"0.08\", expect_size=\"49674240\"] \n  44 [size=\"126666240\", alpha=\"0.11\", expect_size=\"50666496\"] \n  45 [size=\"60828160\", alpha=\"0.08\", expect_size=\"24331264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19807573\", alpha=\"0.00\", expect_size=\"5942272\"] \n  1 -> 7 [size =\"5942272\"]\n  1 -> 8 [size =\"5942272\"]\n  1 -> 9 [size =\"5942272\"]\n  1 -> 12 [size =\"5942272\"]\n  2 [size=\"45417813\", alpha=\"0.03\", expect_size=\"13625344\"] \n  2 -> 6 [size =\"13625344\"]\n  2 -> 8 [size =\"13625344\"]\n  2 -> 12 [size =\"13625344\"]\n  3 [size=\"146104320\", alpha=\"0.16\", expect_size=\"43831296\"] \n  3 -> 6 [size =\"43831296\"]\n  4 [size=\"45390507\", alpha=\"0.15\", expect_size=\"13617152\"] \n  4 -> 7 [size =\"13617152\"]\n  4 -> 8 [size =\"13617152\"]\n  4 -> 10 [size =\"13617152\"]\n  4 -> 12 [size =\"13617152\"]\n  5 [size=\"110100480\", alpha=\"0.05\", expect_size=\"33030144\"] \n  5 -> 6 [size =\"33030144\"]\n  5 -> 11 [size =\"33030144\"]\n  6 [size=\"65648640\", alpha=\"0.12\", expect_size=\"19694592\"] \n  6 -> 14 [size =\"19694592\"]\n  6 -> 15 [size =\"19694592\"]\n  6 -> 16 [size =\"19694592\"]\n  7 [size=\"132136960\", alpha=\"0.15\", expect_size=\"39641088\"] \n  7 -> 15 [size =\"39641088\"]\n  7 -> 16 [size =\"39641088\"]\n  8 [size=\"168683520\", alpha=\"0.12\", expect_size=\"50605056\"] \n  8 -> 14 [size =\"50605056\"]\n  9 [size=\"54456320\", alpha=\"0.14\", expect_size=\"16336896\"] \n  9 -> 15 [size =\"16336896\"]\n  10 [size=\"113005227\", alpha=\"0.01\", expect_size=\"33901568\"] \n  11 [size=\"165655893\", alpha=\"0.11\", expect_size=\"49696768\"] \n  11 -> 13 [size =\"49696768\"]\n  11 -> 14 [size =\"49696768\"]\n  11 -> 17 [size =\"49696768\"]\n  12 [size=\"168529920\", alpha=\"0.01\", expect_size=\"50558976\"] \n  12 -> 13 [size =\"50558976\"]\n  12 -> 15 [size =\"50558976\"]\n  13 [size=\"35403093\", alpha=\"0.07\", expect_size=\"10620928\"] \n  13 -> 19 [size =\"10620928\"]\n  13 -> 21 [size =\"10620928\"]\n  14 [size=\"158365013\", alpha=\"0.16\", expect_size=\"47509504\"] \n  14 -> 19 [size =\"47509504\"]\n  14 -> 20 [size =\"47509504\"]\n  14 -> 21 [size =\"47509504\"]\n  14 -> 22 [size =\"47509504\"]\n  15 [size=\"117879467\", alpha=\"0.08\", expect_size=\"35363840\"] \n  15 -> 18 [size =\"35363840\"]\n  15 -> 19 [size =\"35363840\"]\n  15 -> 20 [size =\"35363840\"]\n  15 -> 22 [size =\"35363840\"]\n  16 [size=\"158003200\", alpha=\"0.03\", expect_size=\"47400960\"] \n  16 -> 18 [size =\"47400960\"]\n  16 -> 22 [size =\"47400960\"]\n  17 [size=\"94593707\", alpha=\"0.10\", expect_size=\"28378112\"] \n  17 -> 21 [size =\"28378112\"]\n  18 [size=\"56944640\", alpha=\"0.05\", expect_size=\"17083392\"] \n  18 -> 23 [size =\"17083392\"]\n  18 -> 24 [size =\"17083392\"]\n  19 [size=\"151988907\", alpha=\"0.06\", expect_size=\"45596672\"] \n  19 -> 23 [size =\"45596672\"]\n  20 [size=\"106431147\", alpha=\"0.03\", expect_size=\"31929344\"] \n  21 [size=\"111581867\", alpha=\"0.00\", expect_size=\"33474560\"] \n  21 -> 25 [size =\"33474560\"]\n  21 -> 26 [size =\"33474560\"]\n  22 [size=\"42229760\", alpha=\"0.01\", expect_size=\"12668928\"] \n  22 -> 23 [size =\"12668928\"]\n  22 -> 25 [size =\"12668928\"]\n  23 [size=\"49073493\", alpha=\"0.18\", expect_size=\"14722048\"] \n  24 [size=\"100741120\", alpha=\"0.19\", expect_size=\"30222336\"] \n  24 -> 28 [size =\"30222336\"]\n  24 -> 30 [size =\"30222336\"]\n  25 [size=\"72072533\", alpha=\"0.11\", expect_size=\"21621760\"] \n  25 -> 31 [size =\"21621760\"]\n  26 [size=\"138847573\", alpha=\"0.09\", expect_size=\"41654272\"] \n  26 -> 27 [size =\"41654272\"]\n  26 -> 29 [size =\"41654272\"]\n  26 -> 31 [size =\"41654272\"]\n  27 [size=\"165546667\", alpha=\"0.02\", expect_size=\"49664000\"] \n  27 -> 32 [size =\"49664000\"]\n  27 -> 35 [size =\"49664000\"]\n  27 -> 38 [size =\"49664000\"]\n  28 [size=\"85346987\", alpha=\"0.15\", expect_size=\"25604096\"] \n  28 -> 32 [size =\"25604096\"]\n  28 -> 33 [size =\"25604096\"]\n  28 -> 35 [size =\"25604096\"]\n  28 -> 37 [size =\"25604096\"]\n  29 [size=\"124928000\", alpha=\"0.12\", expect_size=\"37478400\"] \n  29 -> 32 [size =\"37478400\"]\n  29 -> 33 [size =\"37478400\"]\n  29 -> 36 [size =\"37478400\"]\n  29 -> 37 [size =\"37478400\"]\n  30 [size=\"174209707\", alpha=\"0.01\", expect_size=\"52262912\"] \n  30 -> 36 [size =\"52262912\"]\n  30 -> 38 [size =\"52262912\"]\n  31 [size=\"41328640\", alpha=\"0.09\", expect_size=\"12398592\"] \n  31 -> 34 [size =\"12398592\"]\n  31 -> 35 [size =\"12398592\"]\n  31 -> 36 [size =\"12398592\"]\n  31 -> 37 [size =\"12398592\"]\n  31 -> 38 [size =\"12398592\"]\n  32 [size=\"43182080\", alpha=\"0.16\", expect_size=\"12954624\"] \n  32 -> 39 [size =\"12954624\"]\n  32 -> 40 [size =\"12954624\"]\n  33 [size=\"50428587\", alpha=\"0.06\", expect_size=\"15128576\"] \n  34 [size=\"34416640\", alpha=\"0.13\", expect_size=\"10324992\"] \n  34 -> 39 [size =\"10324992\"]\n  34 -> 43 [size =\"10324992\"]\n  35 [size=\"23057067\", alpha=\"0.13\", expect_size=\"6917120\"] \n  35 -> 43 [size =\"6917120\"]\n  36 [size=\"108977493\", alpha=\"0.11\", expect_size=\"32693248\"] \n  36 -> 40 [size =\"32693248\"]\n  36 -> 41 [size =\"32693248\"]\n  37 [size=\"25777493\", alpha=\"0.19\", expect_size=\"7733248\"] \n  37 -> 39 [size =\"7733248\"]\n  37 -> 40 [size =\"7733248\"]\n  37 -> 41 [size =\"7733248\"]\n  37 -> 42 [size =\"7733248\"]\n  37 -> 43 [size =\"7733248\"]\n  38 [size=\"45410987\", alpha=\"0.12\", expect_size=\"13623296\"] \n  38 -> 43 [size =\"13623296\"]\n  39 [size=\"161798827\", alpha=\"0.02\", expect_size=\"48539648\"] \n  39 -> 44 [size =\"48539648\"]\n  40 [size=\"97344853\", alpha=\"0.03\", expect_size=\"29203456\"] \n  41 [size=\"104874667\", alpha=\"0.16\", expect_size=\"31462400\"] \n  41 -> 45 [size =\"31462400\"]\n  42 [size=\"17988267\", alpha=\"0.13\", expect_size=\"5396480\"] \n  43 [size=\"145032533\", alpha=\"0.13\", expect_size=\"43509760\"] \n  43 -> 45 [size =\"43509760\"]\n  44 [size=\"32081920\", alpha=\"0.04\", expect_size=\"9624576\"] \n  45 [size=\"134591147\", alpha=\"0.02\", expect_size=\"40377344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151070720\", alpha=\"0.05\", expect_size=\"45321216\"] \n  1 -> 2 [size =\"45321216\"]\n  2 [size=\"43707733\", alpha=\"0.12\", expect_size=\"13112320\"] \n  2 -> 3 [size =\"13112320\"]\n  3 [size=\"105966933\", alpha=\"0.12\", expect_size=\"31790080\"] \n  3 -> 4 [size =\"31790080\"]\n  4 [size=\"28501333\", alpha=\"0.17\", expect_size=\"8550400\"] \n  4 -> 5 [size =\"8550400\"]\n  5 [size=\"111629653\", alpha=\"0.17\", expect_size=\"33488896\"] \n  5 -> 6 [size =\"33488896\"]\n  6 [size=\"96354987\", alpha=\"0.11\", expect_size=\"28906496\"] \n  6 -> 7 [size =\"28906496\"]\n  7 [size=\"29593600\", alpha=\"0.03\", expect_size=\"8878080\"] \n  7 -> 8 [size =\"8878080\"]\n  8 [size=\"37956267\", alpha=\"0.06\", expect_size=\"11386880\"] \n  8 -> 9 [size =\"11386880\"]\n  9 [size=\"33204907\", alpha=\"0.12\", expect_size=\"9961472\"] \n  9 -> 10 [size =\"9961472\"]\n  10 [size=\"36375893\", alpha=\"0.08\", expect_size=\"10912768\"] \n  10 -> 11 [size =\"10912768\"]\n  11 [size=\"54340267\", alpha=\"0.19\", expect_size=\"16302080\"] \n  11 -> 12 [size =\"16302080\"]\n  12 [size=\"96774827\", alpha=\"0.02\", expect_size=\"29032448\"] \n  12 -> 13 [size =\"29032448\"]\n  13 [size=\"32542720\", alpha=\"0.19\", expect_size=\"9762816\"] \n  13 -> 14 [size =\"9762816\"]\n  14 [size=\"129239040\", alpha=\"0.11\", expect_size=\"38771712\"] \n  14 -> 15 [size =\"38771712\"]\n  15 [size=\"102734507\", alpha=\"0.06\", expect_size=\"30820352\"] \n  15 -> 16 [size =\"30820352\"]\n  16 [size=\"79510187\", alpha=\"0.05\", expect_size=\"23853056\"] \n  16 -> 17 [size =\"23853056\"]\n  17 [size=\"163525973\", alpha=\"0.06\", expect_size=\"49057792\"] \n  17 -> 18 [size =\"49057792\"]\n  18 [size=\"31389013\", alpha=\"0.05\", expect_size=\"9416704\"] \n  18 -> 19 [size =\"9416704\"]\n  19 [size=\"77322240\", alpha=\"0.11\", expect_size=\"23196672\"] \n  19 -> 20 [size =\"23196672\"]\n  20 [size=\"173796693\", alpha=\"0.01\", expect_size=\"52139008\"] \n  20 -> 21 [size =\"52139008\"]\n  21 [size=\"82718720\", alpha=\"0.09\", expect_size=\"24815616\"] \n  21 -> 22 [size =\"24815616\"]\n  22 [size=\"78421333\", alpha=\"0.20\", expect_size=\"23526400\"] \n  22 -> 23 [size =\"23526400\"]\n  23 [size=\"93648213\", alpha=\"0.02\", expect_size=\"28094464\"] \n  23 -> 24 [size =\"28094464\"]\n  24 [size=\"82384213\", alpha=\"0.05\", expect_size=\"24715264\"] \n  24 -> 25 [size =\"24715264\"]\n  25 [size=\"166918827\", alpha=\"0.00\", expect_size=\"50075648\"] \n  25 -> 26 [size =\"50075648\"]\n  26 [size=\"53780480\", alpha=\"0.06\", expect_size=\"16134144\"] \n  26 -> 27 [size =\"16134144\"]\n  27 [size=\"90596693\", alpha=\"0.13\", expect_size=\"27179008\"] \n  27 -> 28 [size =\"27179008\"]\n  28 [size=\"134591147\", alpha=\"0.02\", expect_size=\"40377344\"] \n  28 -> 29 [size =\"40377344\"]\n  29 [size=\"171540480\", alpha=\"0.14\", expect_size=\"51462144\"] \n  29 -> 30 [size =\"51462144\"]\n  30 [size=\"100717227\", alpha=\"0.08\", expect_size=\"30215168\"] \n  30 -> 31 [size =\"30215168\"]\n  31 [size=\"111902720\", alpha=\"0.06\", expect_size=\"33570816\"] \n  31 -> 32 [size =\"33570816\"]\n  32 [size=\"24122027\", alpha=\"0.15\", expect_size=\"7236608\"] \n  32 -> 33 [size =\"7236608\"]\n  33 [size=\"20893013\", alpha=\"0.06\", expect_size=\"6267904\"] \n  33 -> 34 [size =\"6267904\"]\n  34 [size=\"33419947\", alpha=\"0.11\", expect_size=\"10025984\"] \n  34 -> 35 [size =\"10025984\"]\n  35 [size=\"72731307\", alpha=\"0.06\", expect_size=\"21819392\"] \n  35 -> 36 [size =\"21819392\"]\n  36 [size=\"75694080\", alpha=\"0.10\", expect_size=\"22708224\"] \n  36 -> 37 [size =\"22708224\"]\n  37 [size=\"121193813\", alpha=\"0.12\", expect_size=\"36358144\"] \n  37 -> 38 [size =\"36358144\"]\n  38 [size=\"64054613\", alpha=\"0.16\", expect_size=\"19216384\"] \n  38 -> 39 [size =\"19216384\"]\n  39 [size=\"82049707\", alpha=\"0.08\", expect_size=\"24614912\"] \n  39 -> 40 [size =\"24614912\"]\n  40 [size=\"33621333\", alpha=\"0.19\", expect_size=\"10086400\"] \n  40 -> 41 [size =\"10086400\"]\n  41 [size=\"94958933\", alpha=\"0.19\", expect_size=\"28487680\"] \n  41 -> 42 [size =\"28487680\"]\n  42 [size=\"145636693\", alpha=\"0.06\", expect_size=\"43691008\"] \n  42 -> 43 [size =\"43691008\"]\n  43 [size=\"107673600\", alpha=\"0.03\", expect_size=\"32302080\"] \n  43 -> 44 [size =\"32302080\"]\n  44 [size=\"153419093\", alpha=\"0.09\", expect_size=\"46025728\"] \n  44 -> 45 [size =\"46025728\"]\n  45 [size=\"80066560\", alpha=\"0.13\", expect_size=\"24019968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19655680\", alpha=\"0.01\", expect_size=\"7862272\"] \n  2 [size=\"91476480\", alpha=\"0.14\", expect_size=\"36590592\"] \n  2 -> 9 [size =\"36590592\"]\n  2 -> 11 [size =\"36590592\"]\n  2 -> 12 [size =\"36590592\"]\n  3 [size=\"86021120\", alpha=\"0.00\", expect_size=\"34408448\"] \n  3 -> 8 [size =\"34408448\"]\n  3 -> 10 [size =\"34408448\"]\n  4 [size=\"52792320\", alpha=\"0.03\", expect_size=\"21116928\"] \n  4 -> 7 [size =\"21116928\"]\n  4 -> 8 [size =\"21116928\"]\n  4 -> 9 [size =\"21116928\"]\n  4 -> 10 [size =\"21116928\"]\n  4 -> 12 [size =\"21116928\"]\n  5 [size=\"75517440\", alpha=\"0.08\", expect_size=\"30206976\"] \n  5 -> 9 [size =\"30206976\"]\n  5 -> 12 [size =\"30206976\"]\n  6 [size=\"40936960\", alpha=\"0.13\", expect_size=\"16374784\"] \n  6 -> 12 [size =\"16374784\"]\n  7 [size=\"122982400\", alpha=\"0.04\", expect_size=\"49192960\"] \n  7 -> 15 [size =\"49192960\"]\n  8 [size=\"14356480\", alpha=\"0.01\", expect_size=\"5742592\"] \n  8 -> 13 [size =\"5742592\"]\n  8 -> 15 [size =\"5742592\"]\n  8 -> 17 [size =\"5742592\"]\n  9 [size=\"13754880\", alpha=\"0.13\", expect_size=\"5501952\"] \n  9 -> 13 [size =\"5501952\"]\n  9 -> 14 [size =\"5501952\"]\n  9 -> 16 [size =\"5501952\"]\n  10 [size=\"53982720\", alpha=\"0.07\", expect_size=\"21593088\"] \n  10 -> 16 [size =\"21593088\"]\n  11 [size=\"113103360\", alpha=\"0.14\", expect_size=\"45241344\"] \n  11 -> 15 [size =\"45241344\"]\n  11 -> 16 [size =\"45241344\"]\n  12 [size=\"120514560\", alpha=\"0.10\", expect_size=\"48205824\"] \n  12 -> 13 [size =\"48205824\"]\n  12 -> 15 [size =\"48205824\"]\n  12 -> 16 [size =\"48205824\"]\n  13 [size=\"83952640\", alpha=\"0.03\", expect_size=\"33581056\"] \n  13 -> 21 [size =\"33581056\"]\n  13 -> 22 [size =\"33581056\"]\n  13 -> 23 [size =\"33581056\"]\n  14 [size=\"85125120\", alpha=\"0.12\", expect_size=\"34050048\"] \n  14 -> 20 [size =\"34050048\"]\n  14 -> 21 [size =\"34050048\"]\n  14 -> 23 [size =\"34050048\"]\n  15 [size=\"101071360\", alpha=\"0.08\", expect_size=\"40428544\"] \n  15 -> 18 [size =\"40428544\"]\n  15 -> 19 [size =\"40428544\"]\n  15 -> 23 [size =\"40428544\"]\n  16 [size=\"32266240\", alpha=\"0.03\", expect_size=\"12906496\"] \n  16 -> 18 [size =\"12906496\"]\n  16 -> 19 [size =\"12906496\"]\n  16 -> 20 [size =\"12906496\"]\n  16 -> 23 [size =\"12906496\"]\n  17 [size=\"110266880\", alpha=\"0.13\", expect_size=\"44106752\"] \n  17 -> 19 [size =\"44106752\"]\n  17 -> 19 [size =\"44106752\"]\n  18 [size=\"14653440\", alpha=\"0.12\", expect_size=\"5861376\"] \n  18 -> 24 [size =\"5861376\"]\n  18 -> 25 [size =\"5861376\"]\n  19 [size=\"22236160\", alpha=\"0.20\", expect_size=\"8894464\"] \n  19 -> 24 [size =\"8894464\"]\n  20 [size=\"98332160\", alpha=\"0.03\", expect_size=\"39332864\"] \n  20 -> 25 [size =\"39332864\"]\n  21 [size=\"23956480\", alpha=\"0.07\", expect_size=\"9582592\"] \n  21 -> 24 [size =\"9582592\"]\n  21 -> 25 [size =\"9582592\"]\n  21 -> 26 [size =\"9582592\"]\n  21 -> 27 [size =\"9582592\"]\n  21 -> 28 [size =\"9582592\"]\n  22 [size=\"109281280\", alpha=\"0.05\", expect_size=\"43712512\"] \n  22 -> 24 [size =\"43712512\"]\n  22 -> 25 [size =\"43712512\"]\n  22 -> 27 [size =\"43712512\"]\n  22 -> 28 [size =\"43712512\"]\n  23 [size=\"51066880\", alpha=\"0.15\", expect_size=\"20426752\"] \n  23 -> 24 [size =\"20426752\"]\n  23 -> 25 [size =\"20426752\"]\n  23 -> 27 [size =\"20426752\"]\n  24 [size=\"70318080\", alpha=\"0.12\", expect_size=\"28127232\"] \n  24 -> 29 [size =\"28127232\"]\n  24 -> 30 [size =\"28127232\"]\n  24 -> 32 [size =\"28127232\"]\n  24 -> 33 [size =\"28127232\"]\n  24 -> 34 [size =\"28127232\"]\n  25 [size=\"24788480\", alpha=\"0.19\", expect_size=\"9915392\"] \n  25 -> 30 [size =\"9915392\"]\n  25 -> 32 [size =\"9915392\"]\n  25 -> 34 [size =\"9915392\"]\n  26 [size=\"74380800\", alpha=\"0.11\", expect_size=\"29752320\"] \n  26 -> 30 [size =\"29752320\"]\n  26 -> 32 [size =\"29752320\"]\n  27 [size=\"91550720\", alpha=\"0.02\", expect_size=\"36620288\"] \n  27 -> 31 [size =\"36620288\"]\n  28 [size=\"51074560\", alpha=\"0.13\", expect_size=\"20429824\"] \n  28 -> 32 [size =\"20429824\"]\n  28 -> 33 [size =\"20429824\"]\n  28 -> 34 [size =\"20429824\"]\n  29 [size=\"119767040\", alpha=\"0.04\", expect_size=\"47906816\"] \n  29 -> 35 [size =\"47906816\"]\n  29 -> 36 [size =\"47906816\"]\n  29 -> 39 [size =\"47906816\"]\n  29 -> 40 [size =\"47906816\"]\n  30 [size=\"118750720\", alpha=\"0.02\", expect_size=\"47500288\"] \n  30 -> 35 [size =\"47500288\"]\n  30 -> 36 [size =\"47500288\"]\n  30 -> 38 [size =\"47500288\"]\n  30 -> 39 [size =\"47500288\"]\n  30 -> 40 [size =\"47500288\"]\n  31 [size=\"19087360\", alpha=\"0.17\", expect_size=\"7634944\"] \n  31 -> 35 [size =\"7634944\"]\n  31 -> 38 [size =\"7634944\"]\n  32 [size=\"63257600\", alpha=\"0.10\", expect_size=\"25303040\"] \n  32 -> 35 [size =\"25303040\"]\n  32 -> 37 [size =\"25303040\"]\n  32 -> 38 [size =\"25303040\"]\n  33 [size=\"93698560\", alpha=\"0.15\", expect_size=\"37479424\"] \n  33 -> 36 [size =\"37479424\"]\n  33 -> 38 [size =\"37479424\"]\n  34 [size=\"65364480\", alpha=\"0.12\", expect_size=\"26145792\"] \n  34 -> 40 [size =\"26145792\"]\n  35 [size=\"17935360\", alpha=\"0.05\", expect_size=\"7174144\"] \n  35 -> 43 [size =\"7174144\"]\n  35 -> 45 [size =\"7174144\"]\n  36 [size=\"13829120\", alpha=\"0.00\", expect_size=\"5531648\"] \n  36 -> 41 [size =\"5531648\"]\n  36 -> 43 [size =\"5531648\"]\n  37 [size=\"80870400\", alpha=\"0.12\", expect_size=\"32348160\"] \n  38 [size=\"93009920\", alpha=\"0.04\", expect_size=\"37203968\"] \n  38 -> 41 [size =\"37203968\"]\n  38 -> 43 [size =\"37203968\"]\n  39 [size=\"51499520\", alpha=\"0.18\", expect_size=\"20599808\"] \n  39 -> 42 [size =\"20599808\"]\n  39 -> 44 [size =\"20599808\"]\n  40 [size=\"74946560\", alpha=\"0.06\", expect_size=\"29978624\"] \n  40 -> 41 [size =\"29978624\"]\n  40 -> 42 [size =\"29978624\"]\n  41 [size=\"86269440\", alpha=\"0.16\", expect_size=\"34507776\"] \n  42 [size=\"67494400\", alpha=\"0.03\", expect_size=\"26997760\"] \n  43 [size=\"126036480\", alpha=\"0.16\", expect_size=\"50414592\"] \n  44 [size=\"96808960\", alpha=\"0.18\", expect_size=\"38723584\"] \n  45 [size=\"51832320\", alpha=\"0.03\", expect_size=\"20732928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122777600\", alpha=\"0.19\", expect_size=\"49111040\"] \n  1 -> 2 [size =\"49111040\"]\n  2 [size=\"52057600\", alpha=\"0.15\", expect_size=\"20823040\"] \n  2 -> 3 [size =\"20823040\"]\n  3 [size=\"90611200\", alpha=\"0.09\", expect_size=\"36244480\"] \n  3 -> 4 [size =\"36244480\"]\n  4 [size=\"58777600\", alpha=\"0.01\", expect_size=\"23511040\"] \n  4 -> 5 [size =\"23511040\"]\n  5 [size=\"92037120\", alpha=\"0.02\", expect_size=\"36814848\"] \n  5 -> 6 [size =\"36814848\"]\n  6 [size=\"124984320\", alpha=\"0.20\", expect_size=\"49993728\"] \n  6 -> 7 [size =\"49993728\"]\n  7 [size=\"57587200\", alpha=\"0.05\", expect_size=\"23034880\"] \n  7 -> 8 [size =\"23034880\"]\n  8 [size=\"58562560\", alpha=\"0.13\", expect_size=\"23425024\"] \n  8 -> 9 [size =\"23425024\"]\n  9 [size=\"22277120\", alpha=\"0.05\", expect_size=\"8910848\"] \n  9 -> 10 [size =\"8910848\"]\n  10 [size=\"116213760\", alpha=\"0.05\", expect_size=\"46485504\"] \n  10 -> 11 [size =\"46485504\"]\n  11 [size=\"21511680\", alpha=\"0.15\", expect_size=\"8604672\"] \n  11 -> 12 [size =\"8604672\"]\n  12 [size=\"14184960\", alpha=\"0.09\", expect_size=\"5673984\"] \n  12 -> 13 [size =\"5673984\"]\n  13 [size=\"99763200\", alpha=\"0.04\", expect_size=\"39905280\"] \n  13 -> 14 [size =\"39905280\"]\n  14 [size=\"35983360\", alpha=\"0.13\", expect_size=\"14393344\"] \n  14 -> 15 [size =\"14393344\"]\n  15 [size=\"41251840\", alpha=\"0.07\", expect_size=\"16500736\"] \n  15 -> 16 [size =\"16500736\"]\n  16 [size=\"54499840\", alpha=\"0.09\", expect_size=\"21799936\"] \n  16 -> 17 [size =\"21799936\"]\n  17 [size=\"53273600\", alpha=\"0.13\", expect_size=\"21309440\"] \n  17 -> 18 [size =\"21309440\"]\n  18 [size=\"80378880\", alpha=\"0.12\", expect_size=\"32151552\"] \n  18 -> 19 [size =\"32151552\"]\n  19 [size=\"37969920\", alpha=\"0.02\", expect_size=\"15187968\"] \n  19 -> 20 [size =\"15187968\"]\n  20 [size=\"67013120\", alpha=\"0.08\", expect_size=\"26805248\"] \n  20 -> 21 [size =\"26805248\"]\n  21 [size=\"95749120\", alpha=\"0.13\", expect_size=\"38299648\"] \n  21 -> 22 [size =\"38299648\"]\n  22 [size=\"65105920\", alpha=\"0.05\", expect_size=\"26042368\"] \n  22 -> 23 [size =\"26042368\"]\n  23 [size=\"120058880\", alpha=\"0.09\", expect_size=\"48023552\"] \n  23 -> 24 [size =\"48023552\"]\n  24 [size=\"28203520\", alpha=\"0.02\", expect_size=\"11281408\"] \n  24 -> 25 [size =\"11281408\"]\n  25 [size=\"102379520\", alpha=\"0.07\", expect_size=\"40951808\"] \n  25 -> 26 [size =\"40951808\"]\n  26 [size=\"24522240\", alpha=\"0.12\", expect_size=\"9808896\"] \n  26 -> 27 [size =\"9808896\"]\n  27 [size=\"78026240\", alpha=\"0.04\", expect_size=\"31210496\"] \n  27 -> 28 [size =\"31210496\"]\n  28 [size=\"38696960\", alpha=\"0.04\", expect_size=\"15478784\"] \n  28 -> 29 [size =\"15478784\"]\n  29 [size=\"111884800\", alpha=\"0.06\", expect_size=\"44753920\"] \n  29 -> 30 [size =\"44753920\"]\n  30 [size=\"123289600\", alpha=\"0.05\", expect_size=\"49315840\"] \n  30 -> 31 [size =\"49315840\"]\n  31 [size=\"53949440\", alpha=\"0.06\", expect_size=\"21579776\"] \n  31 -> 32 [size =\"21579776\"]\n  32 [size=\"13537280\", alpha=\"0.06\", expect_size=\"5414912\"] \n  32 -> 33 [size =\"5414912\"]\n  33 [size=\"41008640\", alpha=\"0.01\", expect_size=\"16403456\"] \n  33 -> 34 [size =\"16403456\"]\n  34 [size=\"95900160\", alpha=\"0.01\", expect_size=\"38360064\"] \n  34 -> 35 [size =\"38360064\"]\n  35 [size=\"105917440\", alpha=\"0.05\", expect_size=\"42366976\"] \n  35 -> 36 [size =\"42366976\"]\n  36 [size=\"32028160\", alpha=\"0.16\", expect_size=\"12811264\"] \n  36 -> 37 [size =\"12811264\"]\n  37 [size=\"104076800\", alpha=\"0.13\", expect_size=\"41630720\"] \n  37 -> 38 [size =\"41630720\"]\n  38 [size=\"130613760\", alpha=\"0.03\", expect_size=\"52245504\"] \n  38 -> 39 [size =\"52245504\"]\n  39 [size=\"39132160\", alpha=\"0.16\", expect_size=\"15652864\"] \n  39 -> 40 [size =\"15652864\"]\n  40 [size=\"74731520\", alpha=\"0.19\", expect_size=\"29892608\"] \n  40 -> 41 [size =\"29892608\"]\n  41 [size=\"104588800\", alpha=\"0.15\", expect_size=\"41835520\"] \n  41 -> 42 [size =\"41835520\"]\n  42 [size=\"19151360\", alpha=\"0.01\", expect_size=\"7660544\"] \n  42 -> 43 [size =\"7660544\"]\n  43 [size=\"55424000\", alpha=\"0.04\", expect_size=\"22169600\"] \n  43 -> 44 [size =\"22169600\"]\n  44 [size=\"64133120\", alpha=\"0.10\", expect_size=\"25653248\"] \n  44 -> 45 [size =\"25653248\"]\n  45 [size=\"68160000\", alpha=\"0.11\", expect_size=\"27264000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45862400\", alpha=\"0.19\", expect_size=\"18344960\"] \n  1 -> 18 [size =\"18344960\"]\n  1 -> 20 [size =\"18344960\"]\n  1 -> 21 [size =\"18344960\"]\n  1 -> 24 [size =\"18344960\"]\n  1 -> 25 [size =\"18344960\"]\n  1 -> 26 [size =\"18344960\"]\n  1 -> 27 [size =\"18344960\"]\n  1 -> 28 [size =\"18344960\"]\n  1 -> 29 [size =\"18344960\"]\n  2 [size=\"51996160\", alpha=\"0.12\", expect_size=\"20798464\"] \n  2 -> 18 [size =\"20798464\"]\n  2 -> 19 [size =\"20798464\"]\n  2 -> 20 [size =\"20798464\"]\n  2 -> 22 [size =\"20798464\"]\n  2 -> 24 [size =\"20798464\"]\n  2 -> 25 [size =\"20798464\"]\n  2 -> 29 [size =\"20798464\"]\n  3 [size=\"95050240\", alpha=\"0.06\", expect_size=\"38020096\"] \n  3 -> 18 [size =\"38020096\"]\n  3 -> 20 [size =\"38020096\"]\n  3 -> 25 [size =\"38020096\"]\n  3 -> 28 [size =\"38020096\"]\n  3 -> 29 [size =\"38020096\"]\n  4 [size=\"47247360\", alpha=\"0.11\", expect_size=\"18898944\"] \n  4 -> 26 [size =\"18898944\"]\n  4 -> 28 [size =\"18898944\"]\n  4 -> 32 [size =\"18898944\"]\n  5 [size=\"42001920\", alpha=\"0.09\", expect_size=\"16800768\"] \n  5 -> 18 [size =\"16800768\"]\n  5 -> 19 [size =\"16800768\"]\n  5 -> 26 [size =\"16800768\"]\n  5 -> 27 [size =\"16800768\"]\n  5 -> 28 [size =\"16800768\"]\n  5 -> 29 [size =\"16800768\"]\n  5 -> 32 [size =\"16800768\"]\n  6 [size=\"57223680\", alpha=\"0.15\", expect_size=\"22889472\"] \n  6 -> 18 [size =\"22889472\"]\n  6 -> 24 [size =\"22889472\"]\n  6 -> 29 [size =\"22889472\"]\n  7 [size=\"53020160\", alpha=\"0.09\", expect_size=\"21208064\"] \n  7 -> 18 [size =\"21208064\"]\n  7 -> 19 [size =\"21208064\"]\n  7 -> 20 [size =\"21208064\"]\n  7 -> 21 [size =\"21208064\"]\n  7 -> 25 [size =\"21208064\"]\n  7 -> 28 [size =\"21208064\"]\n  7 -> 29 [size =\"21208064\"]\n  7 -> 30 [size =\"21208064\"]\n  8 [size=\"14200320\", alpha=\"0.10\", expect_size=\"5680128\"] \n  8 -> 21 [size =\"5680128\"]\n  8 -> 25 [size =\"5680128\"]\n  8 -> 28 [size =\"5680128\"]\n  8 -> 30 [size =\"5680128\"]\n  8 -> 32 [size =\"5680128\"]\n  9 [size=\"125470720\", alpha=\"0.03\", expect_size=\"50188288\"] \n  9 -> 18 [size =\"50188288\"]\n  9 -> 20 [size =\"50188288\"]\n  9 -> 21 [size =\"50188288\"]\n  9 -> 22 [size =\"50188288\"]\n  9 -> 27 [size =\"50188288\"]\n  9 -> 29 [size =\"50188288\"]\n  9 -> 30 [size =\"50188288\"]\n  10 [size=\"80271360\", alpha=\"0.15\", expect_size=\"32108544\"] \n  10 -> 18 [size =\"32108544\"]\n  10 -> 22 [size =\"32108544\"]\n  10 -> 26 [size =\"32108544\"]\n  10 -> 27 [size =\"32108544\"]\n  10 -> 29 [size =\"32108544\"]\n  10 -> 30 [size =\"32108544\"]\n  11 [size=\"22113280\", alpha=\"0.09\", expect_size=\"8845312\"] \n  11 -> 22 [size =\"8845312\"]\n  11 -> 26 [size =\"8845312\"]\n  11 -> 27 [size =\"8845312\"]\n  11 -> 28 [size =\"8845312\"]\n  11 -> 31 [size =\"8845312\"]\n  11 -> 32 [size =\"8845312\"]\n  12 [size=\"17292800\", alpha=\"0.08\", expect_size=\"6917120\"] \n  12 -> 18 [size =\"6917120\"]\n  12 -> 19 [size =\"6917120\"]\n  12 -> 20 [size =\"6917120\"]\n  12 -> 24 [size =\"6917120\"]\n  12 -> 28 [size =\"6917120\"]\n  12 -> 29 [size =\"6917120\"]\n  13 [size=\"88788480\", alpha=\"0.11\", expect_size=\"35515392\"] \n  13 -> 20 [size =\"35515392\"]\n  13 -> 23 [size =\"35515392\"]\n  13 -> 25 [size =\"35515392\"]\n  13 -> 31 [size =\"35515392\"]\n  14 [size=\"121610240\", alpha=\"0.15\", expect_size=\"48644096\"] \n  14 -> 20 [size =\"48644096\"]\n  14 -> 25 [size =\"48644096\"]\n  14 -> 27 [size =\"48644096\"]\n  14 -> 28 [size =\"48644096\"]\n  14 -> 32 [size =\"48644096\"]\n  15 [size=\"65953280\", alpha=\"0.11\", expect_size=\"26381312\"] \n  15 -> 18 [size =\"26381312\"]\n  15 -> 19 [size =\"26381312\"]\n  15 -> 20 [size =\"26381312\"]\n  15 -> 23 [size =\"26381312\"]\n  16 [size=\"121638400\", alpha=\"0.06\", expect_size=\"48655360\"] \n  16 -> 19 [size =\"48655360\"]\n  16 -> 21 [size =\"48655360\"]\n  16 -> 26 [size =\"48655360\"]\n  16 -> 27 [size =\"48655360\"]\n  16 -> 28 [size =\"48655360\"]\n  16 -> 29 [size =\"48655360\"]\n  17 [size=\"91479040\", alpha=\"0.15\", expect_size=\"36591616\"] \n  17 -> 18 [size =\"36591616\"]\n  17 -> 19 [size =\"36591616\"]\n  17 -> 23 [size =\"36591616\"]\n  17 -> 25 [size =\"36591616\"]\n  17 -> 28 [size =\"36591616\"]\n  17 -> 31 [size =\"36591616\"]\n  18 [size=\"25088000\", alpha=\"0.13\", expect_size=\"10035200\"] \n  18 -> 33 [size =\"10035200\"]\n  18 -> 39 [size =\"10035200\"]\n  18 -> 41 [size =\"10035200\"]\n  18 -> 42 [size =\"10035200\"]\n  19 [size=\"86100480\", alpha=\"0.05\", expect_size=\"34440192\"] \n  19 -> 33 [size =\"34440192\"]\n  19 -> 37 [size =\"34440192\"]\n  19 -> 39 [size =\"34440192\"]\n  19 -> 40 [size =\"34440192\"]\n  20 [size=\"101987840\", alpha=\"0.17\", expect_size=\"40795136\"] \n  20 -> 33 [size =\"40795136\"]\n  20 -> 35 [size =\"40795136\"]\n  20 -> 37 [size =\"40795136\"]\n  20 -> 40 [size =\"40795136\"]\n  20 -> 41 [size =\"40795136\"]\n  20 -> 43 [size =\"40795136\"]\n  21 [size=\"73367040\", alpha=\"0.13\", expect_size=\"29346816\"] \n  21 -> 38 [size =\"29346816\"]\n  21 -> 40 [size =\"29346816\"]\n  21 -> 42 [size =\"29346816\"]\n  21 -> 43 [size =\"29346816\"]\n  22 [size=\"124687360\", alpha=\"0.16\", expect_size=\"49874944\"] \n  22 -> 33 [size =\"49874944\"]\n  22 -> 36 [size =\"49874944\"]\n  22 -> 38 [size =\"49874944\"]\n  22 -> 41 [size =\"49874944\"]\n  23 [size=\"51791360\", alpha=\"0.14\", expect_size=\"20716544\"] \n  23 -> 34 [size =\"20716544\"]\n  23 -> 35 [size =\"20716544\"]\n  23 -> 39 [size =\"20716544\"]\n  23 -> 40 [size =\"20716544\"]\n  23 -> 45 [size =\"20716544\"]\n  24 [size=\"114810880\", alpha=\"0.16\", expect_size=\"45924352\"] \n  24 -> 33 [size =\"45924352\"]\n  24 -> 40 [size =\"45924352\"]\n  24 -> 41 [size =\"45924352\"]\n  24 -> 42 [size =\"45924352\"]\n  24 -> 44 [size =\"45924352\"]\n  25 [size=\"83619840\", alpha=\"0.04\", expect_size=\"33447936\"] \n  25 -> 43 [size =\"33447936\"]\n  26 [size=\"30991360\", alpha=\"0.20\", expect_size=\"12396544\"] \n  26 -> 33 [size =\"12396544\"]\n  26 -> 36 [size =\"12396544\"]\n  26 -> 41 [size =\"12396544\"]\n  27 [size=\"66173440\", alpha=\"0.02\", expect_size=\"26469376\"] \n  27 -> 33 [size =\"26469376\"]\n  27 -> 34 [size =\"26469376\"]\n  27 -> 37 [size =\"26469376\"]\n  27 -> 39 [size =\"26469376\"]\n  27 -> 41 [size =\"26469376\"]\n  27 -> 42 [size =\"26469376\"]\n  27 -> 43 [size =\"26469376\"]\n  27 -> 45 [size =\"26469376\"]\n  28 [size=\"34575360\", alpha=\"0.04\", expect_size=\"13830144\"] \n  28 -> 37 [size =\"13830144\"]\n  28 -> 39 [size =\"13830144\"]\n  28 -> 41 [size =\"13830144\"]\n  28 -> 42 [size =\"13830144\"]\n  28 -> 45 [size =\"13830144\"]\n  29 [size=\"113996800\", alpha=\"0.05\", expect_size=\"45598720\"] \n  29 -> 37 [size =\"45598720\"]\n  29 -> 40 [size =\"45598720\"]\n  29 -> 41 [size =\"45598720\"]\n  29 -> 45 [size =\"45598720\"]\n  30 [size=\"28134400\", alpha=\"0.18\", expect_size=\"11253760\"] \n  30 -> 35 [size =\"11253760\"]\n  30 -> 41 [size =\"11253760\"]\n  30 -> 45 [size =\"11253760\"]\n  31 [size=\"125588480\", alpha=\"0.12\", expect_size=\"50235392\"] \n  31 -> 39 [size =\"50235392\"]\n  31 -> 40 [size =\"50235392\"]\n  31 -> 42 [size =\"50235392\"]\n  31 -> 43 [size =\"50235392\"]\n  32 [size=\"85219840\", alpha=\"0.07\", expect_size=\"34087936\"] \n  32 -> 34 [size =\"34087936\"]\n  32 -> 35 [size =\"34087936\"]\n  32 -> 40 [size =\"34087936\"]\n  33 [size=\"63882240\", alpha=\"0.15\", expect_size=\"25552896\"] \n  34 [size=\"25556480\", alpha=\"0.01\", expect_size=\"10222592\"] \n  35 [size=\"122344960\", alpha=\"0.16\", expect_size=\"48937984\"] \n  36 [size=\"29253120\", alpha=\"0.09\", expect_size=\"11701248\"] \n  37 [size=\"26324480\", alpha=\"0.16\", expect_size=\"10529792\"] \n  38 [size=\"35507200\", alpha=\"0.05\", expect_size=\"14202880\"] \n  39 [size=\"57899520\", alpha=\"0.06\", expect_size=\"23159808\"] \n  40 [size=\"87897600\", alpha=\"0.02\", expect_size=\"35159040\"] \n  41 [size=\"74700800\", alpha=\"0.09\", expect_size=\"29880320\"] \n  42 [size=\"27320320\", alpha=\"0.14\", expect_size=\"10928128\"] \n  43 [size=\"67909120\", alpha=\"0.06\", expect_size=\"27163648\"] \n  44 [size=\"36218880\", alpha=\"0.15\", expect_size=\"14487552\"] \n  45 [size=\"40755200\", alpha=\"0.17\", expect_size=\"16302080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62132224\", alpha=\"0.11\", expect_size=\"31066112\"] \n  1 -> 15 [size =\"31066112\"]\n  1 -> 21 [size =\"31066112\"]\n  1 -> 25 [size =\"31066112\"]\n  2 [size=\"61335552\", alpha=\"0.07\", expect_size=\"30667776\"] \n  2 -> 14 [size =\"30667776\"]\n  2 -> 15 [size =\"30667776\"]\n  2 -> 21 [size =\"30667776\"]\n  2 -> 25 [size =\"30667776\"]\n  3 [size=\"26826752\", alpha=\"0.02\", expect_size=\"13413376\"] \n  3 -> 15 [size =\"13413376\"]\n  3 -> 15 [size =\"13413376\"]\n  3 -> 19 [size =\"13413376\"]\n  3 -> 20 [size =\"13413376\"]\n  3 -> 21 [size =\"13413376\"]\n  3 -> 26 [size =\"13413376\"]\n  4 [size=\"39491584\", alpha=\"0.03\", expect_size=\"19745792\"] \n  4 -> 20 [size =\"19745792\"]\n  4 -> 26 [size =\"19745792\"]\n  5 [size=\"27893760\", alpha=\"0.15\", expect_size=\"13946880\"] \n  5 -> 18 [size =\"13946880\"]\n  6 [size=\"64438272\", alpha=\"0.09\", expect_size=\"32219136\"] \n  6 -> 17 [size =\"32219136\"]\n  6 -> 18 [size =\"32219136\"]\n  6 -> 23 [size =\"32219136\"]\n  6 -> 24 [size =\"32219136\"]\n  7 [size=\"90138624\", alpha=\"0.10\", expect_size=\"45069312\"] \n  7 -> 18 [size =\"45069312\"]\n  7 -> 20 [size =\"45069312\"]\n  7 -> 24 [size =\"45069312\"]\n  7 -> 25 [size =\"45069312\"]\n  8 [size=\"48738304\", alpha=\"0.17\", expect_size=\"24369152\"] \n  8 -> 14 [size =\"24369152\"]\n  8 -> 18 [size =\"24369152\"]\n  8 -> 19 [size =\"24369152\"]\n  8 -> 20 [size =\"24369152\"]\n  8 -> 23 [size =\"24369152\"]\n  9 [size=\"37943296\", alpha=\"0.16\", expect_size=\"18971648\"] \n  9 -> 14 [size =\"18971648\"]\n  9 -> 21 [size =\"18971648\"]\n  9 -> 22 [size =\"18971648\"]\n  9 -> 24 [size =\"18971648\"]\n  10 [size=\"54327296\", alpha=\"0.09\", expect_size=\"27163648\"] \n  10 -> 17 [size =\"27163648\"]\n  10 -> 20 [size =\"27163648\"]\n  10 -> 23 [size =\"27163648\"]\n  10 -> 24 [size =\"27163648\"]\n  10 -> 25 [size =\"27163648\"]\n  11 [size=\"93972480\", alpha=\"0.07\", expect_size=\"46986240\"] \n  11 -> 15 [size =\"46986240\"]\n  11 -> 20 [size =\"46986240\"]\n  11 -> 21 [size =\"46986240\"]\n  12 [size=\"51931136\", alpha=\"0.01\", expect_size=\"25965568\"] \n  12 -> 14 [size =\"25965568\"]\n  12 -> 15 [size =\"25965568\"]\n  12 -> 16 [size =\"25965568\"]\n  12 -> 20 [size =\"25965568\"]\n  12 -> 21 [size =\"25965568\"]\n  13 [size=\"86614016\", alpha=\"0.13\", expect_size=\"43307008\"] \n  13 -> 21 [size =\"43307008\"]\n  13 -> 23 [size =\"43307008\"]\n  13 -> 24 [size =\"43307008\"]\n  14 [size=\"95719424\", alpha=\"0.14\", expect_size=\"47859712\"] \n  14 -> 28 [size =\"47859712\"]\n  14 -> 30 [size =\"47859712\"]\n  14 -> 40 [size =\"47859712\"]\n  15 [size=\"17369088\", alpha=\"0.14\", expect_size=\"8684544\"] \n  15 -> 32 [size =\"8684544\"]\n  16 [size=\"89790464\", alpha=\"0.12\", expect_size=\"44895232\"] \n  16 -> 27 [size =\"44895232\"]\n  16 -> 29 [size =\"44895232\"]\n  16 -> 31 [size =\"44895232\"]\n  16 -> 33 [size =\"44895232\"]\n  16 -> 37 [size =\"44895232\"]\n  17 [size=\"38402048\", alpha=\"0.15\", expect_size=\"19201024\"] \n  17 -> 34 [size =\"19201024\"]\n  17 -> 38 [size =\"19201024\"]\n  18 [size=\"83615744\", alpha=\"0.04\", expect_size=\"41807872\"] \n  18 -> 34 [size =\"41807872\"]\n  18 -> 37 [size =\"41807872\"]\n  18 -> 39 [size =\"41807872\"]\n  19 [size=\"70072320\", alpha=\"0.10\", expect_size=\"35036160\"] \n  19 -> 27 [size =\"35036160\"]\n  19 -> 28 [size =\"35036160\"]\n  19 -> 30 [size =\"35036160\"]\n  19 -> 32 [size =\"35036160\"]\n  19 -> 37 [size =\"35036160\"]\n  19 -> 39 [size =\"35036160\"]\n  19 -> 40 [size =\"35036160\"]\n  20 [size=\"52811776\", alpha=\"0.04\", expect_size=\"26405888\"] \n  20 -> 29 [size =\"26405888\"]\n  20 -> 32 [size =\"26405888\"]\n  20 -> 35 [size =\"26405888\"]\n  20 -> 37 [size =\"26405888\"]\n  20 -> 39 [size =\"26405888\"]\n  21 [size=\"93628416\", alpha=\"0.10\", expect_size=\"46814208\"] \n  21 -> 35 [size =\"46814208\"]\n  21 -> 39 [size =\"46814208\"]\n  22 [size=\"31051776\", alpha=\"0.06\", expect_size=\"15525888\"] \n  22 -> 30 [size =\"15525888\"]\n  22 -> 34 [size =\"15525888\"]\n  22 -> 35 [size =\"15525888\"]\n  22 -> 39 [size =\"15525888\"]\n  23 [size=\"36546560\", alpha=\"0.06\", expect_size=\"18273280\"] \n  23 -> 33 [size =\"18273280\"]\n  23 -> 34 [size =\"18273280\"]\n  23 -> 39 [size =\"18273280\"]\n  24 [size=\"99313664\", alpha=\"0.11\", expect_size=\"49656832\"] \n  24 -> 29 [size =\"49656832\"]\n  24 -> 30 [size =\"49656832\"]\n  24 -> 34 [size =\"49656832\"]\n  24 -> 36 [size =\"49656832\"]\n  24 -> 40 [size =\"49656832\"]\n  25 [size=\"69314560\", alpha=\"0.01\", expect_size=\"34657280\"] \n  25 -> 30 [size =\"34657280\"]\n  25 -> 31 [size =\"34657280\"]\n  25 -> 34 [size =\"34657280\"]\n  25 -> 37 [size =\"34657280\"]\n  26 [size=\"39976960\", alpha=\"0.02\", expect_size=\"19988480\"] \n  26 -> 28 [size =\"19988480\"]\n  26 -> 30 [size =\"19988480\"]\n  26 -> 31 [size =\"19988480\"]\n  26 -> 35 [size =\"19988480\"]\n  26 -> 38 [size =\"19988480\"]\n  26 -> 39 [size =\"19988480\"]\n  26 -> 40 [size =\"19988480\"]\n  27 [size=\"95232000\", alpha=\"0.20\", expect_size=\"47616000\"] \n  27 -> 41 [size =\"47616000\"]\n  27 -> 42 [size =\"47616000\"]\n  27 -> 43 [size =\"47616000\"]\n  27 -> 44 [size =\"47616000\"]\n  27 -> 45 [size =\"47616000\"]\n  28 [size=\"73830400\", alpha=\"0.05\", expect_size=\"36915200\"] \n  28 -> 43 [size =\"36915200\"]\n  28 -> 44 [size =\"36915200\"]\n  28 -> 45 [size =\"36915200\"]\n  29 [size=\"94531584\", alpha=\"0.17\", expect_size=\"47265792\"] \n  29 -> 43 [size =\"47265792\"]\n  30 [size=\"46622720\", alpha=\"0.18\", expect_size=\"23311360\"] \n  30 -> 44 [size =\"23311360\"]\n  31 [size=\"66959360\", alpha=\"0.17\", expect_size=\"33479680\"] \n  31 -> 43 [size =\"33479680\"]\n  32 [size=\"18446336\", alpha=\"0.04\", expect_size=\"9223168\"] \n  32 -> 41 [size =\"9223168\"]\n  32 -> 42 [size =\"9223168\"]\n  32 -> 44 [size =\"9223168\"]\n  33 [size=\"46307328\", alpha=\"0.08\", expect_size=\"23153664\"] \n  33 -> 41 [size =\"23153664\"]\n  33 -> 43 [size =\"23153664\"]\n  33 -> 44 [size =\"23153664\"]\n  34 [size=\"72513536\", alpha=\"0.10\", expect_size=\"36256768\"] \n  34 -> 43 [size =\"36256768\"]\n  34 -> 44 [size =\"36256768\"]\n  35 [size=\"31698944\", alpha=\"0.13\", expect_size=\"15849472\"] \n  35 -> 43 [size =\"15849472\"]\n  36 [size=\"35645440\", alpha=\"0.13\", expect_size=\"17822720\"] \n  36 -> 43 [size =\"17822720\"]\n  36 -> 44 [size =\"17822720\"]\n  37 [size=\"43935744\", alpha=\"0.19\", expect_size=\"21967872\"] \n  37 -> 41 [size =\"21967872\"]\n  37 -> 44 [size =\"21967872\"]\n  37 -> 45 [size =\"21967872\"]\n  38 [size=\"41850880\", alpha=\"0.00\", expect_size=\"20925440\"] \n  39 [size=\"67643392\", alpha=\"0.14\", expect_size=\"33821696\"] \n  40 [size=\"54403072\", alpha=\"0.17\", expect_size=\"27201536\"] \n  40 -> 41 [size =\"27201536\"]\n  40 -> 43 [size =\"27201536\"]\n  41 [size=\"45969408\", alpha=\"0.18\", expect_size=\"22984704\"] \n  42 [size=\"31457280\", alpha=\"0.03\", expect_size=\"15728640\"] \n  43 [size=\"52316160\", alpha=\"0.13\", expect_size=\"26158080\"] \n  44 [size=\"90300416\", alpha=\"0.02\", expect_size=\"45150208\"] \n  45 [size=\"41902080\", alpha=\"0.04\", expect_size=\"20951040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23255040\", alpha=\"0.14\", expect_size=\"11627520\"] \n  1 -> 7 [size =\"11627520\"]\n  1 -> 11 [size =\"11627520\"]\n  2 [size=\"66166784\", alpha=\"0.09\", expect_size=\"33083392\"] \n  2 -> 7 [size =\"33083392\"]\n  2 -> 9 [size =\"33083392\"]\n  2 -> 10 [size =\"33083392\"]\n  3 [size=\"56647680\", alpha=\"0.05\", expect_size=\"28323840\"] \n  3 -> 8 [size =\"28323840\"]\n  4 [size=\"38529024\", alpha=\"0.01\", expect_size=\"19264512\"] \n  4 -> 8 [size =\"19264512\"]\n  4 -> 11 [size =\"19264512\"]\n  5 [size=\"68143104\", alpha=\"0.19\", expect_size=\"34071552\"] \n  5 -> 8 [size =\"34071552\"]\n  5 -> 10 [size =\"34071552\"]\n  5 -> 11 [size =\"34071552\"]\n  6 [size=\"85874688\", alpha=\"0.17\", expect_size=\"42937344\"] \n  6 -> 8 [size =\"42937344\"]\n  6 -> 10 [size =\"42937344\"]\n  6 -> 12 [size =\"42937344\"]\n  7 [size=\"64622592\", alpha=\"0.11\", expect_size=\"32311296\"] \n  7 -> 16 [size =\"32311296\"]\n  7 -> 17 [size =\"32311296\"]\n  7 -> 18 [size =\"32311296\"]\n  8 [size=\"77811712\", alpha=\"0.06\", expect_size=\"38905856\"] \n  8 -> 17 [size =\"38905856\"]\n  9 [size=\"48588800\", alpha=\"0.14\", expect_size=\"24294400\"] \n  9 -> 13 [size =\"24294400\"]\n  9 -> 17 [size =\"24294400\"]\n  10 [size=\"34490368\", alpha=\"0.07\", expect_size=\"17245184\"] \n  10 -> 13 [size =\"17245184\"]\n  10 -> 15 [size =\"17245184\"]\n  11 [size=\"27459584\", alpha=\"0.19\", expect_size=\"13729792\"] \n  11 -> 16 [size =\"13729792\"]\n  12 [size=\"93855744\", alpha=\"0.15\", expect_size=\"46927872\"] \n  12 -> 14 [size =\"46927872\"]\n  12 -> 15 [size =\"46927872\"]\n  12 -> 16 [size =\"46927872\"]\n  12 -> 17 [size =\"46927872\"]\n  13 [size=\"43372544\", alpha=\"0.06\", expect_size=\"21686272\"] \n  13 -> 20 [size =\"21686272\"]\n  13 -> 22 [size =\"21686272\"]\n  14 [size=\"65280000\", alpha=\"0.13\", expect_size=\"32640000\"] \n  14 -> 19 [size =\"32640000\"]\n  14 -> 20 [size =\"32640000\"]\n  14 -> 21 [size =\"32640000\"]\n  15 [size=\"70993920\", alpha=\"0.10\", expect_size=\"35496960\"] \n  15 -> 20 [size =\"35496960\"]\n  15 -> 23 [size =\"35496960\"]\n  16 [size=\"66863104\", alpha=\"0.04\", expect_size=\"33431552\"] \n  16 -> 19 [size =\"33431552\"]\n  16 -> 20 [size =\"33431552\"]\n  16 -> 21 [size =\"33431552\"]\n  16 -> 22 [size =\"33431552\"]\n  16 -> 23 [size =\"33431552\"]\n  17 [size=\"52459520\", alpha=\"0.12\", expect_size=\"26229760\"] \n  17 -> 19 [size =\"26229760\"]\n  17 -> 21 [size =\"26229760\"]\n  17 -> 22 [size =\"26229760\"]\n  18 [size=\"12156928\", alpha=\"0.15\", expect_size=\"6078464\"] \n  18 -> 19 [size =\"6078464\"]\n  19 [size=\"42512384\", alpha=\"0.09\", expect_size=\"21256192\"] \n  19 -> 25 [size =\"21256192\"]\n  19 -> 26 [size =\"21256192\"]\n  19 -> 27 [size =\"21256192\"]\n  19 -> 29 [size =\"21256192\"]\n  19 -> 30 [size =\"21256192\"]\n  20 [size=\"14372864\", alpha=\"0.14\", expect_size=\"7186432\"] \n  20 -> 26 [size =\"7186432\"]\n  20 -> 29 [size =\"7186432\"]\n  20 -> 30 [size =\"7186432\"]\n  21 [size=\"46344192\", alpha=\"0.01\", expect_size=\"23172096\"] \n  22 [size=\"42502144\", alpha=\"0.01\", expect_size=\"21251072\"] \n  22 -> 24 [size =\"21251072\"]\n  22 -> 25 [size =\"21251072\"]\n  23 [size=\"19668992\", alpha=\"0.10\", expect_size=\"9834496\"] \n  23 -> 24 [size =\"9834496\"]\n  23 -> 26 [size =\"9834496\"]\n  23 -> 28 [size =\"9834496\"]\n  23 -> 29 [size =\"9834496\"]\n  23 -> 30 [size =\"9834496\"]\n  24 [size=\"48396288\", alpha=\"0.05\", expect_size=\"24198144\"] \n  24 -> 31 [size =\"24198144\"]\n  24 -> 33 [size =\"24198144\"]\n  24 -> 36 [size =\"24198144\"]\n  25 [size=\"15208448\", alpha=\"0.12\", expect_size=\"7604224\"] \n  26 [size=\"63565824\", alpha=\"0.16\", expect_size=\"31782912\"] \n  26 -> 32 [size =\"31782912\"]\n  26 -> 36 [size =\"31782912\"]\n  27 [size=\"80084992\", alpha=\"0.10\", expect_size=\"40042496\"] \n  27 -> 31 [size =\"40042496\"]\n  28 [size=\"43405312\", alpha=\"0.19\", expect_size=\"21702656\"] \n  28 -> 31 [size =\"21702656\"]\n  28 -> 36 [size =\"21702656\"]\n  29 [size=\"21518336\", alpha=\"0.16\", expect_size=\"10759168\"] \n  29 -> 31 [size =\"10759168\"]\n  29 -> 35 [size =\"10759168\"]\n  30 [size=\"63627264\", alpha=\"0.19\", expect_size=\"31813632\"] \n  30 -> 31 [size =\"31813632\"]\n  30 -> 34 [size =\"31813632\"]\n  31 [size=\"34269184\", alpha=\"0.04\", expect_size=\"17134592\"] \n  31 -> 37 [size =\"17134592\"]\n  32 [size=\"40591360\", alpha=\"0.08\", expect_size=\"20295680\"] \n  32 -> 37 [size =\"20295680\"]\n  32 -> 38 [size =\"20295680\"]\n  32 -> 39 [size =\"20295680\"]\n  32 -> 40 [size =\"20295680\"]\n  33 [size=\"43900928\", alpha=\"0.18\", expect_size=\"21950464\"] \n  33 -> 37 [size =\"21950464\"]\n  33 -> 39 [size =\"21950464\"]\n  34 [size=\"90361856\", alpha=\"0.00\", expect_size=\"45180928\"] \n  34 -> 38 [size =\"45180928\"]\n  35 [size=\"19273728\", alpha=\"0.15\", expect_size=\"9636864\"] \n  35 -> 38 [size =\"9636864\"]\n  35 -> 40 [size =\"9636864\"]\n  36 [size=\"77037568\", alpha=\"0.02\", expect_size=\"38518784\"] \n  36 -> 37 [size =\"38518784\"]\n  36 -> 38 [size =\"38518784\"]\n  36 -> 41 [size =\"38518784\"]\n  36 -> 42 [size =\"38518784\"]\n  37 [size=\"55930880\", alpha=\"0.18\", expect_size=\"27965440\"] \n  37 -> 44 [size =\"27965440\"]\n  38 [size=\"104460288\", alpha=\"0.14\", expect_size=\"52230144\"] \n  38 -> 43 [size =\"52230144\"]\n  38 -> 44 [size =\"52230144\"]\n  39 [size=\"101210112\", alpha=\"0.17\", expect_size=\"50605056\"] \n  39 -> 44 [size =\"50605056\"]\n  40 [size=\"84287488\", alpha=\"0.00\", expect_size=\"42143744\"] \n  40 -> 45 [size =\"42143744\"]\n  41 [size=\"77694976\", alpha=\"0.12\", expect_size=\"38847488\"] \n  42 [size=\"98408448\", alpha=\"0.10\", expect_size=\"49204224\"] \n  43 [size=\"41056256\", alpha=\"0.10\", expect_size=\"20528128\"] \n  44 [size=\"32897024\", alpha=\"0.18\", expect_size=\"16448512\"] \n  45 [size=\"34355200\", alpha=\"0.07\", expect_size=\"17177600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71770112\", alpha=\"0.14\", expect_size=\"35885056\"] \n  1 -> 16 [size =\"35885056\"]\n  1 -> 17 [size =\"35885056\"]\n  1 -> 18 [size =\"35885056\"]\n  1 -> 20 [size =\"35885056\"]\n  1 -> 22 [size =\"35885056\"]\n  1 -> 23 [size =\"35885056\"]\n  2 [size=\"39444480\", alpha=\"0.17\", expect_size=\"19722240\"] \n  2 -> 17 [size =\"19722240\"]\n  2 -> 21 [size =\"19722240\"]\n  2 -> 23 [size =\"19722240\"]\n  3 [size=\"31979520\", alpha=\"0.20\", expect_size=\"15989760\"] \n  3 -> 14 [size =\"15989760\"]\n  3 -> 17 [size =\"15989760\"]\n  3 -> 18 [size =\"15989760\"]\n  3 -> 21 [size =\"15989760\"]\n  3 -> 22 [size =\"15989760\"]\n  3 -> 24 [size =\"15989760\"]\n  4 [size=\"68587520\", alpha=\"0.18\", expect_size=\"34293760\"] \n  4 -> 15 [size =\"34293760\"]\n  4 -> 16 [size =\"34293760\"]\n  4 -> 17 [size =\"34293760\"]\n  4 -> 18 [size =\"34293760\"]\n  4 -> 21 [size =\"34293760\"]\n  4 -> 22 [size =\"34293760\"]\n  5 [size=\"83306496\", alpha=\"0.08\", expect_size=\"41653248\"] \n  5 -> 13 [size =\"41653248\"]\n  5 -> 16 [size =\"41653248\"]\n  5 -> 19 [size =\"41653248\"]\n  5 -> 22 [size =\"41653248\"]\n  5 -> 23 [size =\"41653248\"]\n  5 -> 24 [size =\"41653248\"]\n  6 [size=\"61448192\", alpha=\"0.15\", expect_size=\"30724096\"] \n  6 -> 13 [size =\"30724096\"]\n  6 -> 19 [size =\"30724096\"]\n  6 -> 21 [size =\"30724096\"]\n  7 [size=\"63125504\", alpha=\"0.07\", expect_size=\"31562752\"] \n  7 -> 13 [size =\"31562752\"]\n  7 -> 14 [size =\"31562752\"]\n  7 -> 17 [size =\"31562752\"]\n  7 -> 18 [size =\"31562752\"]\n  7 -> 19 [size =\"31562752\"]\n  7 -> 20 [size =\"31562752\"]\n  8 [size=\"83847168\", alpha=\"0.00\", expect_size=\"41923584\"] \n  8 -> 13 [size =\"41923584\"]\n  8 -> 14 [size =\"41923584\"]\n  8 -> 21 [size =\"41923584\"]\n  9 [size=\"42690560\", alpha=\"0.20\", expect_size=\"21345280\"] \n  9 -> 13 [size =\"21345280\"]\n  9 -> 14 [size =\"21345280\"]\n  9 -> 17 [size =\"21345280\"]\n  9 -> 22 [size =\"21345280\"]\n  9 -> 23 [size =\"21345280\"]\n  9 -> 24 [size =\"21345280\"]\n  9 -> 25 [size =\"21345280\"]\n  10 [size=\"73089024\", alpha=\"0.18\", expect_size=\"36544512\"] \n  10 -> 13 [size =\"36544512\"]\n  10 -> 14 [size =\"36544512\"]\n  10 -> 15 [size =\"36544512\"]\n  10 -> 16 [size =\"36544512\"]\n  10 -> 23 [size =\"36544512\"]\n  11 [size=\"57829376\", alpha=\"0.03\", expect_size=\"28914688\"] \n  11 -> 14 [size =\"28914688\"]\n  11 -> 14 [size =\"28914688\"]\n  11 -> 21 [size =\"28914688\"]\n  11 -> 23 [size =\"28914688\"]\n  11 -> 25 [size =\"28914688\"]\n  12 [size=\"31145984\", alpha=\"0.04\", expect_size=\"15572992\"] \n  12 -> 16 [size =\"15572992\"]\n  12 -> 17 [size =\"15572992\"]\n  12 -> 18 [size =\"15572992\"]\n  12 -> 19 [size =\"15572992\"]\n  12 -> 21 [size =\"15572992\"]\n  12 -> 23 [size =\"15572992\"]\n  12 -> 25 [size =\"15572992\"]\n  13 [size=\"18970624\", alpha=\"0.05\", expect_size=\"9485312\"] \n  13 -> 32 [size =\"9485312\"]\n  13 -> 33 [size =\"9485312\"]\n  13 -> 37 [size =\"9485312\"]\n  13 -> 42 [size =\"9485312\"]\n  14 [size=\"18806784\", alpha=\"0.14\", expect_size=\"9403392\"] \n  14 -> 27 [size =\"9403392\"]\n  14 -> 30 [size =\"9403392\"]\n  14 -> 32 [size =\"9403392\"]\n  14 -> 35 [size =\"9403392\"]\n  14 -> 37 [size =\"9403392\"]\n  14 -> 38 [size =\"9403392\"]\n  15 [size=\"11225088\", alpha=\"0.16\", expect_size=\"5612544\"] \n  15 -> 27 [size =\"5612544\"]\n  15 -> 29 [size =\"5612544\"]\n  15 -> 31 [size =\"5612544\"]\n  15 -> 32 [size =\"5612544\"]\n  15 -> 35 [size =\"5612544\"]\n  15 -> 37 [size =\"5612544\"]\n  15 -> 40 [size =\"5612544\"]\n  15 -> 42 [size =\"5612544\"]\n  16 [size=\"50548736\", alpha=\"0.02\", expect_size=\"25274368\"] \n  16 -> 26 [size =\"25274368\"]\n  16 -> 27 [size =\"25274368\"]\n  16 -> 29 [size =\"25274368\"]\n  16 -> 31 [size =\"25274368\"]\n  16 -> 32 [size =\"25274368\"]\n  16 -> 33 [size =\"25274368\"]\n  16 -> 35 [size =\"25274368\"]\n  16 -> 42 [size =\"25274368\"]\n  17 [size=\"28669952\", alpha=\"0.00\", expect_size=\"14334976\"] \n  17 -> 29 [size =\"14334976\"]\n  17 -> 33 [size =\"14334976\"]\n  17 -> 35 [size =\"14334976\"]\n  17 -> 42 [size =\"14334976\"]\n  18 [size=\"60817408\", alpha=\"0.14\", expect_size=\"30408704\"] \n  18 -> 26 [size =\"30408704\"]\n  18 -> 27 [size =\"30408704\"]\n  18 -> 29 [size =\"30408704\"]\n  18 -> 32 [size =\"30408704\"]\n  18 -> 33 [size =\"30408704\"]\n  18 -> 35 [size =\"30408704\"]\n  18 -> 39 [size =\"30408704\"]\n  18 -> 40 [size =\"30408704\"]\n  18 -> 42 [size =\"30408704\"]\n  19 [size=\"61702144\", alpha=\"0.16\", expect_size=\"30851072\"] \n  19 -> 29 [size =\"30851072\"]\n  19 -> 31 [size =\"30851072\"]\n  19 -> 32 [size =\"30851072\"]\n  19 -> 33 [size =\"30851072\"]\n  19 -> 33 [size =\"30851072\"]\n  19 -> 35 [size =\"30851072\"]\n  19 -> 38 [size =\"30851072\"]\n  19 -> 39 [size =\"30851072\"]\n  19 -> 42 [size =\"30851072\"]\n  20 [size=\"60579840\", alpha=\"0.08\", expect_size=\"30289920\"] \n  20 -> 31 [size =\"30289920\"]\n  20 -> 33 [size =\"30289920\"]\n  20 -> 35 [size =\"30289920\"]\n  20 -> 36 [size =\"30289920\"]\n  20 -> 37 [size =\"30289920\"]\n  20 -> 42 [size =\"30289920\"]\n  21 [size=\"52391936\", alpha=\"0.12\", expect_size=\"26195968\"] \n  21 -> 26 [size =\"26195968\"]\n  21 -> 28 [size =\"26195968\"]\n  21 -> 31 [size =\"26195968\"]\n  21 -> 35 [size =\"26195968\"]\n  21 -> 37 [size =\"26195968\"]\n  21 -> 38 [size =\"26195968\"]\n  21 -> 39 [size =\"26195968\"]\n  21 -> 42 [size =\"26195968\"]\n  22 [size=\"65169408\", alpha=\"0.02\", expect_size=\"32584704\"] \n  22 -> 26 [size =\"32584704\"]\n  22 -> 27 [size =\"32584704\"]\n  22 -> 28 [size =\"32584704\"]\n  22 -> 30 [size =\"32584704\"]\n  22 -> 32 [size =\"32584704\"]\n  22 -> 33 [size =\"32584704\"]\n  22 -> 37 [size =\"32584704\"]\n  22 -> 38 [size =\"32584704\"]\n  22 -> 41 [size =\"32584704\"]\n  22 -> 42 [size =\"32584704\"]\n  23 [size=\"82272256\", alpha=\"0.17\", expect_size=\"41136128\"] \n  23 -> 27 [size =\"41136128\"]\n  23 -> 28 [size =\"41136128\"]\n  23 -> 31 [size =\"41136128\"]\n  23 -> 34 [size =\"41136128\"]\n  23 -> 35 [size =\"41136128\"]\n  23 -> 37 [size =\"41136128\"]\n  23 -> 37 [size =\"41136128\"]\n  23 -> 38 [size =\"41136128\"]\n  23 -> 39 [size =\"41136128\"]\n  23 -> 41 [size =\"41136128\"]\n  24 [size=\"11479040\", alpha=\"0.05\", expect_size=\"5739520\"] \n  24 -> 31 [size =\"5739520\"]\n  24 -> 32 [size =\"5739520\"]\n  24 -> 38 [size =\"5739520\"]\n  25 [size=\"78051328\", alpha=\"0.07\", expect_size=\"39025664\"] \n  25 -> 32 [size =\"39025664\"]\n  25 -> 39 [size =\"39025664\"]\n  26 [size=\"57806848\", alpha=\"0.01\", expect_size=\"28903424\"] \n  26 -> 43 [size =\"28903424\"]\n  27 [size=\"67420160\", alpha=\"0.05\", expect_size=\"33710080\"] \n  27 -> 44 [size =\"33710080\"]\n  28 [size=\"67463168\", alpha=\"0.06\", expect_size=\"33731584\"] \n  28 -> 43 [size =\"33731584\"]\n  28 -> 44 [size =\"33731584\"]\n  29 [size=\"37976064\", alpha=\"0.13\", expect_size=\"18988032\"] \n  29 -> 43 [size =\"18988032\"]\n  29 -> 44 [size =\"18988032\"]\n  29 -> 45 [size =\"18988032\"]\n  30 [size=\"21368832\", alpha=\"0.13\", expect_size=\"10684416\"] \n  30 -> 44 [size =\"10684416\"]\n  30 -> 44 [size =\"10684416\"]\n  31 [size=\"57905152\", alpha=\"0.03\", expect_size=\"28952576\"] \n  31 -> 45 [size =\"28952576\"]\n  32 [size=\"20129792\", alpha=\"0.18\", expect_size=\"10064896\"] \n  32 -> 44 [size =\"10064896\"]\n  33 [size=\"31373312\", alpha=\"0.14\", expect_size=\"15686656\"] \n  33 -> 44 [size =\"15686656\"]\n  34 [size=\"18759680\", alpha=\"0.13\", expect_size=\"9379840\"] \n  34 -> 43 [size =\"9379840\"]\n  34 -> 44 [size =\"9379840\"]\n  35 [size=\"40388608\", alpha=\"0.11\", expect_size=\"20194304\"] \n  35 -> 43 [size =\"20194304\"]\n  35 -> 44 [size =\"20194304\"]\n  36 [size=\"74711040\", alpha=\"0.18\", expect_size=\"37355520\"] \n  36 -> 43 [size =\"37355520\"]\n  36 -> 44 [size =\"37355520\"]\n  37 [size=\"78321664\", alpha=\"0.09\", expect_size=\"39160832\"] \n  37 -> 43 [size =\"39160832\"]\n  38 [size=\"103856128\", alpha=\"0.10\", expect_size=\"51928064\"] \n  38 -> 45 [size =\"51928064\"]\n  39 [size=\"35938304\", alpha=\"0.02\", expect_size=\"17969152\"] \n  39 -> 44 [size =\"17969152\"]\n  39 -> 45 [size =\"17969152\"]\n  40 [size=\"95514624\", alpha=\"0.05\", expect_size=\"47757312\"] \n  40 -> 45 [size =\"47757312\"]\n  41 [size=\"62072832\", alpha=\"0.17\", expect_size=\"31036416\"] \n  42 [size=\"77332480\", alpha=\"0.01\", expect_size=\"38666240\"] \n  42 -> 44 [size =\"38666240\"]\n  42 -> 45 [size =\"38666240\"]\n  43 [size=\"67579904\", alpha=\"0.19\", expect_size=\"33789952\"] \n  44 [size=\"41302016\", alpha=\"0.18\", expect_size=\"20651008\"] \n  45 [size=\"101193728\", alpha=\"0.11\", expect_size=\"50596864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73080320\", alpha=\"0.03\", expect_size=\"29232128\"] \n  1 -> 2 [size =\"29232128\"]\n  2 [size=\"88302080\", alpha=\"0.10\", expect_size=\"35320832\"] \n  2 -> 3 [size =\"35320832\"]\n  3 [size=\"86551040\", alpha=\"0.20\", expect_size=\"34620416\"] \n  3 -> 4 [size =\"34620416\"]\n  4 [size=\"106488320\", alpha=\"0.15\", expect_size=\"42595328\"] \n  4 -> 5 [size =\"42595328\"]\n  5 [size=\"63971840\", alpha=\"0.06\", expect_size=\"25588736\"] \n  5 -> 6 [size =\"25588736\"]\n  6 [size=\"40698880\", alpha=\"0.18\", expect_size=\"16279552\"] \n  6 -> 7 [size =\"16279552\"]\n  7 [size=\"106990080\", alpha=\"0.10\", expect_size=\"42796032\"] \n  7 -> 8 [size =\"42796032\"]\n  8 [size=\"117245440\", alpha=\"0.00\", expect_size=\"46898176\"] \n  8 -> 9 [size =\"46898176\"]\n  9 [size=\"57390080\", alpha=\"0.12\", expect_size=\"22956032\"] \n  9 -> 10 [size =\"22956032\"]\n  10 [size=\"86822400\", alpha=\"0.10\", expect_size=\"34728960\"] \n  10 -> 11 [size =\"34728960\"]\n  11 [size=\"25569280\", alpha=\"0.05\", expect_size=\"10227712\"] \n  11 -> 12 [size =\"10227712\"]\n  12 [size=\"40872960\", alpha=\"0.07\", expect_size=\"16349184\"] \n  12 -> 13 [size =\"16349184\"]\n  13 [size=\"101058560\", alpha=\"0.06\", expect_size=\"40423424\"] \n  13 -> 14 [size =\"40423424\"]\n  14 [size=\"100293120\", alpha=\"0.12\", expect_size=\"40117248\"] \n  14 -> 15 [size =\"40117248\"]\n  15 [size=\"71188480\", alpha=\"0.17\", expect_size=\"28475392\"] \n  15 -> 16 [size =\"28475392\"]\n  16 [size=\"107522560\", alpha=\"0.07\", expect_size=\"43009024\"] \n  16 -> 17 [size =\"43009024\"]\n  17 [size=\"96581120\", alpha=\"0.13\", expect_size=\"38632448\"] \n  17 -> 18 [size =\"38632448\"]\n  18 [size=\"36648960\", alpha=\"0.08\", expect_size=\"14659584\"] \n  18 -> 19 [size =\"14659584\"]\n  19 [size=\"39528960\", alpha=\"0.17\", expect_size=\"15811584\"] \n  19 -> 20 [size =\"15811584\"]\n  20 [size=\"111211520\", alpha=\"0.16\", expect_size=\"44484608\"] \n  20 -> 21 [size =\"44484608\"]\n  21 [size=\"52766720\", alpha=\"0.06\", expect_size=\"21106688\"] \n  21 -> 22 [size =\"21106688\"]\n  22 [size=\"82969600\", alpha=\"0.09\", expect_size=\"33187840\"] \n  22 -> 23 [size =\"33187840\"]\n  23 [size=\"121884160\", alpha=\"0.03\", expect_size=\"48753664\"] \n  23 -> 24 [size =\"48753664\"]\n  24 [size=\"39769600\", alpha=\"0.14\", expect_size=\"15907840\"] \n  24 -> 25 [size =\"15907840\"]\n  25 [size=\"111319040\", alpha=\"0.13\", expect_size=\"44527616\"] \n  25 -> 26 [size =\"44527616\"]\n  26 [size=\"92963840\", alpha=\"0.18\", expect_size=\"37185536\"] \n  26 -> 27 [size =\"37185536\"]\n  27 [size=\"15669760\", alpha=\"0.17\", expect_size=\"6267904\"] \n  27 -> 28 [size =\"6267904\"]\n  28 [size=\"91973120\", alpha=\"0.15\", expect_size=\"36789248\"] \n  28 -> 29 [size =\"36789248\"]\n  29 [size=\"24122880\", alpha=\"0.00\", expect_size=\"9649152\"] \n  29 -> 30 [size =\"9649152\"]\n  30 [size=\"124154880\", alpha=\"0.18\", expect_size=\"49661952\"] \n  30 -> 31 [size =\"49661952\"]\n  31 [size=\"103321600\", alpha=\"0.17\", expect_size=\"41328640\"] \n  31 -> 32 [size =\"41328640\"]\n  32 [size=\"21601280\", alpha=\"0.02\", expect_size=\"8640512\"] \n  32 -> 33 [size =\"8640512\"]\n  33 [size=\"72153600\", alpha=\"0.01\", expect_size=\"28861440\"] \n  33 -> 34 [size =\"28861440\"]\n  34 [size=\"92495360\", alpha=\"0.15\", expect_size=\"36998144\"] \n  34 -> 35 [size =\"36998144\"]\n  35 [size=\"58042880\", alpha=\"0.19\", expect_size=\"23217152\"] \n  35 -> 36 [size =\"23217152\"]\n  36 [size=\"19663360\", alpha=\"0.19\", expect_size=\"7865344\"] \n  36 -> 37 [size =\"7865344\"]\n  37 [size=\"122915840\", alpha=\"0.13\", expect_size=\"49166336\"] \n  37 -> 38 [size =\"49166336\"]\n  38 [size=\"107788800\", alpha=\"0.11\", expect_size=\"43115520\"] \n  38 -> 39 [size =\"43115520\"]\n  39 [size=\"78423040\", alpha=\"0.14\", expect_size=\"31369216\"] \n  39 -> 40 [size =\"31369216\"]\n  40 [size=\"79104000\", alpha=\"0.13\", expect_size=\"31641600\"] \n  40 -> 41 [size =\"31641600\"]\n  41 [size=\"65582080\", alpha=\"0.19\", expect_size=\"26232832\"] \n  41 -> 42 [size =\"26232832\"]\n  42 [size=\"50321920\", alpha=\"0.17\", expect_size=\"20128768\"] \n  42 -> 43 [size =\"20128768\"]\n  43 [size=\"61086720\", alpha=\"0.13\", expect_size=\"24434688\"] \n  43 -> 44 [size =\"24434688\"]\n  44 [size=\"67865600\", alpha=\"0.14\", expect_size=\"27146240\"] \n  44 -> 45 [size =\"27146240\"]\n  45 [size=\"39882240\", alpha=\"0.11\", expect_size=\"15952896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random45_test/random.45.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:23 2019\n// ./daggen --dot -n 45 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41093120\", alpha=\"0.11\", expect_size=\"20546560\"] \n  1 -> 11 [size =\"20546560\"]\n  1 -> 13 [size =\"20546560\"]\n  1 -> 14 [size =\"20546560\"]\n  1 -> 17 [size =\"20546560\"]\n  1 -> 18 [size =\"20546560\"]\n  1 -> 19 [size =\"20546560\"]\n  1 -> 20 [size =\"20546560\"]\n  1 -> 21 [size =\"20546560\"]\n  1 -> 22 [size =\"20546560\"]\n  1 -> 23 [size =\"20546560\"]\n  1 -> 24 [size =\"20546560\"]\n  1 -> 25 [size =\"20546560\"]\n  1 -> 26 [size =\"20546560\"]\n  1 -> 28 [size =\"20546560\"]\n  2 [size=\"84799488\", alpha=\"0.06\", expect_size=\"42399744\"] \n  2 -> 12 [size =\"42399744\"]\n  2 -> 14 [size =\"42399744\"]\n  2 -> 20 [size =\"42399744\"]\n  2 -> 21 [size =\"42399744\"]\n  2 -> 22 [size =\"42399744\"]\n  2 -> 23 [size =\"42399744\"]\n  3 [size=\"84226048\", alpha=\"0.00\", expect_size=\"42113024\"] \n  3 -> 12 [size =\"42113024\"]\n  3 -> 13 [size =\"42113024\"]\n  3 -> 14 [size =\"42113024\"]\n  3 -> 15 [size =\"42113024\"]\n  3 -> 16 [size =\"42113024\"]\n  3 -> 17 [size =\"42113024\"]\n  3 -> 21 [size =\"42113024\"]\n  3 -> 22 [size =\"42113024\"]\n  3 -> 23 [size =\"42113024\"]\n  3 -> 24 [size =\"42113024\"]\n  3 -> 26 [size =\"42113024\"]\n  4 [size=\"93704192\", alpha=\"0.05\", expect_size=\"46852096\"] \n  4 -> 11 [size =\"46852096\"]\n  4 -> 12 [size =\"46852096\"]\n  4 -> 13 [size =\"46852096\"]\n  4 -> 15 [size =\"46852096\"]\n  4 -> 17 [size =\"46852096\"]\n  4 -> 17 [size =\"46852096\"]\n  4 -> 19 [size =\"46852096\"]\n  4 -> 20 [size =\"46852096\"]\n  4 -> 21 [size =\"46852096\"]\n  4 -> 22 [size =\"46852096\"]\n  4 -> 23 [size =\"46852096\"]\n  4 -> 24 [size =\"46852096\"]\n  4 -> 25 [size =\"46852096\"]\n  5 [size=\"28243968\", alpha=\"0.18\", expect_size=\"14121984\"] \n  5 -> 11 [size =\"14121984\"]\n  5 -> 13 [size =\"14121984\"]\n  5 -> 13 [size =\"14121984\"]\n  5 -> 15 [size =\"14121984\"]\n  5 -> 16 [size =\"14121984\"]\n  5 -> 19 [size =\"14121984\"]\n  5 -> 20 [size =\"14121984\"]\n  5 -> 21 [size =\"14121984\"]\n  5 -> 21 [size =\"14121984\"]\n  5 -> 22 [size =\"14121984\"]\n  5 -> 23 [size =\"14121984\"]\n  5 -> 25 [size =\"14121984\"]\n  5 -> 25 [size =\"14121984\"]\n  6 [size=\"44390400\", alpha=\"0.06\", expect_size=\"22195200\"] \n  6 -> 13 [size =\"22195200\"]\n  6 -> 13 [size =\"22195200\"]\n  6 -> 14 [size =\"22195200\"]\n  6 -> 15 [size =\"22195200\"]\n  6 -> 17 [size =\"22195200\"]\n  6 -> 19 [size =\"22195200\"]\n  6 -> 20 [size =\"22195200\"]\n  6 -> 21 [size =\"22195200\"]\n  6 -> 23 [size =\"22195200\"]\n  6 -> 25 [size =\"22195200\"]\n  7 [size=\"65576960\", alpha=\"0.10\", expect_size=\"32788480\"] \n  7 -> 13 [size =\"32788480\"]\n  7 -> 14 [size =\"32788480\"]\n  7 -> 14 [size =\"32788480\"]\n  7 -> 15 [size =\"32788480\"]\n  7 -> 17 [size =\"32788480\"]\n  7 -> 19 [size =\"32788480\"]\n  7 -> 20 [size =\"32788480\"]\n  7 -> 22 [size =\"32788480\"]\n  7 -> 23 [size =\"32788480\"]\n  7 -> 25 [size =\"32788480\"]\n  7 -> 26 [size =\"32788480\"]\n  7 -> 28 [size =\"32788480\"]\n  8 [size=\"28241920\", alpha=\"0.10\", expect_size=\"14120960\"] \n  8 -> 14 [size =\"14120960\"]\n  8 -> 17 [size =\"14120960\"]\n  8 -> 19 [size =\"14120960\"]\n  8 -> 20 [size =\"14120960\"]\n  8 -> 22 [size =\"14120960\"]\n  8 -> 23 [size =\"14120960\"]\n  8 -> 24 [size =\"14120960\"]\n  8 -> 26 [size =\"14120960\"]\n  8 -> 28 [size =\"14120960\"]\n  9 [size=\"40777728\", alpha=\"0.02\", expect_size=\"20388864\"] \n  9 -> 11 [size =\"20388864\"]\n  9 -> 15 [size =\"20388864\"]\n  9 -> 16 [size =\"20388864\"]\n  9 -> 17 [size =\"20388864\"]\n  9 -> 19 [size =\"20388864\"]\n  9 -> 21 [size =\"20388864\"]\n  9 -> 22 [size =\"20388864\"]\n  9 -> 24 [size =\"20388864\"]\n  9 -> 26 [size =\"20388864\"]\n  9 -> 27 [size =\"20388864\"]\n  10 [size=\"51859456\", alpha=\"0.11\", expect_size=\"25929728\"] \n  10 -> 11 [size =\"25929728\"]\n  10 -> 14 [size =\"25929728\"]\n  10 -> 16 [size =\"25929728\"]\n  10 -> 17 [size =\"25929728\"]\n  10 -> 18 [size =\"25929728\"]\n  10 -> 19 [size =\"25929728\"]\n  10 -> 20 [size =\"25929728\"]\n  10 -> 21 [size =\"25929728\"]\n  10 -> 22 [size =\"25929728\"]\n  10 -> 23 [size =\"25929728\"]\n  10 -> 24 [size =\"25929728\"]\n  10 -> 25 [size =\"25929728\"]\n  10 -> 26 [size =\"25929728\"]\n  11 [size=\"46489600\", alpha=\"0.18\", expect_size=\"23244800\"] \n  11 -> 31 [size =\"23244800\"]\n  11 -> 33 [size =\"23244800\"]\n  11 -> 35 [size =\"23244800\"]\n  11 -> 37 [size =\"23244800\"]\n  11 -> 39 [size =\"23244800\"]\n  11 -> 41 [size =\"23244800\"]\n  12 [size=\"96292864\", alpha=\"0.19\", expect_size=\"48146432\"] \n  12 -> 29 [size =\"48146432\"]\n  12 -> 30 [size =\"48146432\"]\n  12 -> 31 [size =\"48146432\"]\n  12 -> 33 [size =\"48146432\"]\n  12 -> 39 [size =\"48146432\"]\n  12 -> 41 [size =\"48146432\"]\n  13 [size=\"30337024\", alpha=\"0.17\", expect_size=\"15168512\"] \n  13 -> 30 [size =\"15168512\"]\n  13 -> 31 [size =\"15168512\"]\n  13 -> 33 [size =\"15168512\"]\n  13 -> 37 [size =\"15168512\"]\n  13 -> 39 [size =\"15168512\"]\n  13 -> 40 [size =\"15168512\"]\n  14 [size=\"31594496\", alpha=\"0.16\", expect_size=\"15797248\"] \n  14 -> 30 [size =\"15797248\"]\n  14 -> 31 [size =\"15797248\"]\n  14 -> 37 [size =\"15797248\"]\n  14 -> 37 [size =\"15797248\"]\n  14 -> 38 [size =\"15797248\"]\n  14 -> 39 [size =\"15797248\"]\n  14 -> 40 [size =\"15797248\"]\n  14 -> 41 [size =\"15797248\"]\n  15 [size=\"53155840\", alpha=\"0.14\", expect_size=\"26577920\"] \n  15 -> 34 [size =\"26577920\"]\n  15 -> 37 [size =\"26577920\"]\n  15 -> 38 [size =\"26577920\"]\n  15 -> 41 [size =\"26577920\"]\n  16 [size=\"43364352\", alpha=\"0.18\", expect_size=\"21682176\"] \n  16 -> 31 [size =\"21682176\"]\n  16 -> 35 [size =\"21682176\"]\n  17 [size=\"72259584\", alpha=\"0.13\", expect_size=\"36129792\"] \n  17 -> 29 [size =\"36129792\"]\n  17 -> 31 [size =\"36129792\"]\n  17 -> 35 [size =\"36129792\"]\n  17 -> 36 [size =\"36129792\"]\n  17 -> 39 [size =\"36129792\"]\n  17 -> 40 [size =\"36129792\"]\n  18 [size=\"25978880\", alpha=\"0.19\", expect_size=\"12989440\"] \n  18 -> 29 [size =\"12989440\"]\n  18 -> 30 [size =\"12989440\"]\n  18 -> 31 [size =\"12989440\"]\n  18 -> 32 [size =\"12989440\"]\n  18 -> 39 [size =\"12989440\"]\n  18 -> 40 [size =\"12989440\"]\n  18 -> 41 [size =\"12989440\"]\n  19 [size=\"74358784\", alpha=\"0.13\", expect_size=\"37179392\"] \n  19 -> 29 [size =\"37179392\"]\n  19 -> 31 [size =\"37179392\"]\n  19 -> 32 [size =\"37179392\"]\n  19 -> 33 [size =\"37179392\"]\n  19 -> 35 [size =\"37179392\"]\n  19 -> 40 [size =\"37179392\"]\n  20 [size=\"83775488\", alpha=\"0.08\", expect_size=\"41887744\"] \n  20 -> 30 [size =\"41887744\"]\n  20 -> 33 [size =\"41887744\"]\n  20 -> 37 [size =\"41887744\"]\n  20 -> 40 [size =\"41887744\"]\n  21 [size=\"40822784\", alpha=\"0.09\", expect_size=\"20411392\"] \n  21 -> 30 [size =\"20411392\"]\n  21 -> 31 [size =\"20411392\"]\n  21 -> 37 [size =\"20411392\"]\n  21 -> 39 [size =\"20411392\"]\n  21 -> 40 [size =\"20411392\"]\n  21 -> 41 [size =\"20411392\"]\n  22 [size=\"29413376\", alpha=\"0.06\", expect_size=\"14706688\"] \n  22 -> 29 [size =\"14706688\"]\n  22 -> 30 [size =\"14706688\"]\n  22 -> 31 [size =\"14706688\"]\n  22 -> 37 [size =\"14706688\"]\n  22 -> 39 [size =\"14706688\"]\n  23 [size=\"25815040\", alpha=\"0.18\", expect_size=\"12907520\"] \n  23 -> 30 [size =\"12907520\"]\n  23 -> 32 [size =\"12907520\"]\n  23 -> 34 [size =\"12907520\"]\n  23 -> 37 [size =\"12907520\"]\n  24 [size=\"11771904\", alpha=\"0.08\", expect_size=\"5885952\"] \n  24 -> 30 [size =\"5885952\"]\n  24 -> 31 [size =\"5885952\"]\n  24 -> 34 [size =\"5885952\"]\n  24 -> 37 [size =\"5885952\"]\n  24 -> 39 [size =\"5885952\"]\n  24 -> 40 [size =\"5885952\"]\n  25 [size=\"85190656\", alpha=\"0.02\", expect_size=\"42595328\"] \n  25 -> 29 [size =\"42595328\"]\n  25 -> 30 [size =\"42595328\"]\n  25 -> 31 [size =\"42595328\"]\n  25 -> 37 [size =\"42595328\"]\n  25 -> 39 [size =\"42595328\"]\n  25 -> 41 [size =\"42595328\"]\n  26 [size=\"56387584\", alpha=\"0.03\", expect_size=\"28193792\"] \n  26 -> 29 [size =\"28193792\"]\n  26 -> 30 [size =\"28193792\"]\n  26 -> 31 [size =\"28193792\"]\n  26 -> 37 [size =\"28193792\"]\n  26 -> 39 [size =\"28193792\"]\n  26 -> 40 [size =\"28193792\"]\n  26 -> 41 [size =\"28193792\"]\n  27 [size=\"46100480\", alpha=\"0.16\", expect_size=\"23050240\"] \n  27 -> 29 [size =\"23050240\"]\n  27 -> 31 [size =\"23050240\"]\n  27 -> 36 [size =\"23050240\"]\n  27 -> 40 [size =\"23050240\"]\n  28 [size=\"14587904\", alpha=\"0.12\", expect_size=\"7293952\"] \n  28 -> 31 [size =\"7293952\"]\n  28 -> 36 [size =\"7293952\"]\n  28 -> 37 [size =\"7293952\"]\n  28 -> 39 [size =\"7293952\"]\n  28 -> 40 [size =\"7293952\"]\n  29 [size=\"101992448\", alpha=\"0.15\", expect_size=\"50996224\"] \n  29 -> 42 [size =\"50996224\"]\n  30 [size=\"69885952\", alpha=\"0.07\", expect_size=\"34942976\"] \n  30 -> 42 [size =\"34942976\"]\n  30 -> 45 [size =\"34942976\"]\n  31 [size=\"12281856\", alpha=\"0.06\", expect_size=\"6140928\"] \n  31 -> 42 [size =\"6140928\"]\n  31 -> 44 [size =\"6140928\"]\n  31 -> 45 [size =\"6140928\"]\n  32 [size=\"54167552\", alpha=\"0.04\", expect_size=\"27083776\"] \n  32 -> 42 [size =\"27083776\"]\n  32 -> 45 [size =\"27083776\"]\n  33 [size=\"81106944\", alpha=\"0.05\", expect_size=\"40553472\"] \n  33 -> 42 [size =\"40553472\"]\n  33 -> 45 [size =\"40553472\"]\n  34 [size=\"72474624\", alpha=\"0.12\", expect_size=\"36237312\"] \n  35 [size=\"17119232\", alpha=\"0.07\", expect_size=\"8559616\"] \n  35 -> 42 [size =\"8559616\"]\n  35 -> 44 [size =\"8559616\"]\n  35 -> 45 [size =\"8559616\"]\n  36 [size=\"27166720\", alpha=\"0.09\", expect_size=\"13583360\"] \n  36 -> 42 [size =\"13583360\"]\n  36 -> 43 [size =\"13583360\"]\n  36 -> 45 [size =\"13583360\"]\n  37 [size=\"42158080\", alpha=\"0.04\", expect_size=\"21079040\"] \n  37 -> 43 [size =\"21079040\"]\n  37 -> 44 [size =\"21079040\"]\n  37 -> 45 [size =\"21079040\"]\n  38 [size=\"22808576\", alpha=\"0.03\", expect_size=\"11404288\"] \n  38 -> 42 [size =\"11404288\"]\n  38 -> 43 [size =\"11404288\"]\n  38 -> 45 [size =\"11404288\"]\n  39 [size=\"81252352\", alpha=\"0.15\", expect_size=\"40626176\"] \n  39 -> 45 [size =\"40626176\"]\n  40 [size=\"59033600\", alpha=\"0.03\", expect_size=\"29516800\"] \n  40 -> 45 [size =\"29516800\"]\n  41 [size=\"91901952\", alpha=\"0.17\", expect_size=\"45950976\"] \n  41 -> 42 [size =\"45950976\"]\n  41 -> 44 [size =\"45950976\"]\n  42 [size=\"27115520\", alpha=\"0.15\", expect_size=\"13557760\"] \n  43 [size=\"44857344\", alpha=\"0.16\", expect_size=\"22428672\"] \n  44 [size=\"70606848\", alpha=\"0.18\", expect_size=\"35303424\"] \n  45 [size=\"31102976\", alpha=\"0.15\", expect_size=\"15551488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75255808\", alpha=\"0.15\", expect_size=\"37627904\"] \n  1 -> 13 [size =\"37627904\"]\n  1 -> 14 [size =\"37627904\"]\n  1 -> 17 [size =\"37627904\"]\n  1 -> 18 [size =\"37627904\"]\n  1 -> 19 [size =\"37627904\"]\n  1 -> 26 [size =\"37627904\"]\n  2 [size=\"89700352\", alpha=\"0.02\", expect_size=\"44850176\"] \n  2 -> 13 [size =\"44850176\"]\n  2 -> 14 [size =\"44850176\"]\n  2 -> 17 [size =\"44850176\"]\n  2 -> 18 [size =\"44850176\"]\n  2 -> 19 [size =\"44850176\"]\n  2 -> 20 [size =\"44850176\"]\n  2 -> 23 [size =\"44850176\"]\n  2 -> 24 [size =\"44850176\"]\n  2 -> 26 [size =\"44850176\"]\n  2 -> 27 [size =\"44850176\"]\n  3 [size=\"21080064\", alpha=\"0.18\", expect_size=\"10540032\"] \n  3 -> 11 [size =\"10540032\"]\n  3 -> 12 [size =\"10540032\"]\n  3 -> 15 [size =\"10540032\"]\n  3 -> 18 [size =\"10540032\"]\n  3 -> 21 [size =\"10540032\"]\n  3 -> 22 [size =\"10540032\"]\n  3 -> 24 [size =\"10540032\"]\n  3 -> 26 [size =\"10540032\"]\n  4 [size=\"38643712\", alpha=\"0.19\", expect_size=\"19321856\"] \n  4 -> 11 [size =\"19321856\"]\n  4 -> 12 [size =\"19321856\"]\n  4 -> 14 [size =\"19321856\"]\n  4 -> 17 [size =\"19321856\"]\n  4 -> 18 [size =\"19321856\"]\n  4 -> 23 [size =\"19321856\"]\n  4 -> 24 [size =\"19321856\"]\n  4 -> 25 [size =\"19321856\"]\n  4 -> 26 [size =\"19321856\"]\n  4 -> 27 [size =\"19321856\"]\n  5 [size=\"82790400\", alpha=\"0.02\", expect_size=\"41395200\"] \n  5 -> 14 [size =\"41395200\"]\n  5 -> 16 [size =\"41395200\"]\n  5 -> 17 [size =\"41395200\"]\n  5 -> 18 [size =\"41395200\"]\n  5 -> 18 [size =\"41395200\"]\n  5 -> 21 [size =\"41395200\"]\n  5 -> 22 [size =\"41395200\"]\n  5 -> 23 [size =\"41395200\"]\n  5 -> 26 [size =\"41395200\"]\n  6 [size=\"57298944\", alpha=\"0.07\", expect_size=\"28649472\"] \n  6 -> 11 [size =\"28649472\"]\n  6 -> 12 [size =\"28649472\"]\n  6 -> 16 [size =\"28649472\"]\n  6 -> 21 [size =\"28649472\"]\n  6 -> 23 [size =\"28649472\"]\n  6 -> 24 [size =\"28649472\"]\n  6 -> 27 [size =\"28649472\"]\n  7 [size=\"97155072\", alpha=\"0.19\", expect_size=\"48577536\"] \n  7 -> 15 [size =\"48577536\"]\n  7 -> 16 [size =\"48577536\"]\n  7 -> 23 [size =\"48577536\"]\n  8 [size=\"44763136\", alpha=\"0.10\", expect_size=\"22381568\"] \n  8 -> 14 [size =\"22381568\"]\n  8 -> 15 [size =\"22381568\"]\n  8 -> 17 [size =\"22381568\"]\n  8 -> 18 [size =\"22381568\"]\n  8 -> 24 [size =\"22381568\"]\n  8 -> 27 [size =\"22381568\"]\n  9 [size=\"70686720\", alpha=\"0.06\", expect_size=\"35343360\"] \n  9 -> 15 [size =\"35343360\"]\n  9 -> 16 [size =\"35343360\"]\n  9 -> 24 [size =\"35343360\"]\n  9 -> 26 [size =\"35343360\"]\n  10 [size=\"75487232\", alpha=\"0.02\", expect_size=\"37743616\"] \n  10 -> 11 [size =\"37743616\"]\n  10 -> 21 [size =\"37743616\"]\n  10 -> 23 [size =\"37743616\"]\n  10 -> 24 [size =\"37743616\"]\n  10 -> 26 [size =\"37743616\"]\n  11 [size=\"92348416\", alpha=\"0.05\", expect_size=\"46174208\"] \n  11 -> 31 [size =\"46174208\"]\n  11 -> 34 [size =\"46174208\"]\n  11 -> 37 [size =\"46174208\"]\n  11 -> 38 [size =\"46174208\"]\n  11 -> 42 [size =\"46174208\"]\n  11 -> 44 [size =\"46174208\"]\n  12 [size=\"70725632\", alpha=\"0.08\", expect_size=\"35362816\"] \n  12 -> 28 [size =\"35362816\"]\n  12 -> 31 [size =\"35362816\"]\n  12 -> 32 [size =\"35362816\"]\n  12 -> 34 [size =\"35362816\"]\n  12 -> 36 [size =\"35362816\"]\n  12 -> 40 [size =\"35362816\"]\n  13 [size=\"78399488\", alpha=\"0.20\", expect_size=\"39199744\"] \n  13 -> 28 [size =\"39199744\"]\n  13 -> 31 [size =\"39199744\"]\n  13 -> 32 [size =\"39199744\"]\n  13 -> 33 [size =\"39199744\"]\n  13 -> 35 [size =\"39199744\"]\n  13 -> 36 [size =\"39199744\"]\n  14 [size=\"69586944\", alpha=\"0.20\", expect_size=\"34793472\"] \n  14 -> 31 [size =\"34793472\"]\n  14 -> 32 [size =\"34793472\"]\n  14 -> 35 [size =\"34793472\"]\n  14 -> 37 [size =\"34793472\"]\n  15 [size=\"65388544\", alpha=\"0.17\", expect_size=\"32694272\"] \n  15 -> 34 [size =\"32694272\"]\n  15 -> 35 [size =\"32694272\"]\n  15 -> 37 [size =\"32694272\"]\n  15 -> 40 [size =\"32694272\"]\n  15 -> 44 [size =\"32694272\"]\n  16 [size=\"76156928\", alpha=\"0.16\", expect_size=\"38078464\"] \n  16 -> 35 [size =\"38078464\"]\n  16 -> 37 [size =\"38078464\"]\n  16 -> 40 [size =\"38078464\"]\n  17 [size=\"14827520\", alpha=\"0.03\", expect_size=\"7413760\"] \n  17 -> 33 [size =\"7413760\"]\n  17 -> 34 [size =\"7413760\"]\n  17 -> 40 [size =\"7413760\"]\n  18 [size=\"104660992\", alpha=\"0.20\", expect_size=\"52330496\"] \n  18 -> 28 [size =\"52330496\"]\n  18 -> 31 [size =\"52330496\"]\n  18 -> 37 [size =\"52330496\"]\n  18 -> 39 [size =\"52330496\"]\n  19 [size=\"59805696\", alpha=\"0.15\", expect_size=\"29902848\"] \n  19 -> 34 [size =\"29902848\"]\n  19 -> 37 [size =\"29902848\"]\n  19 -> 37 [size =\"29902848\"]\n  19 -> 38 [size =\"29902848\"]\n  19 -> 40 [size =\"29902848\"]\n  19 -> 44 [size =\"29902848\"]\n  20 [size=\"90361856\", alpha=\"0.06\", expect_size=\"45180928\"] \n  20 -> 28 [size =\"45180928\"]\n  20 -> 31 [size =\"45180928\"]\n  20 -> 32 [size =\"45180928\"]\n  20 -> 34 [size =\"45180928\"]\n  20 -> 44 [size =\"45180928\"]\n  20 -> 44 [size =\"45180928\"]\n  21 [size=\"99072000\", alpha=\"0.11\", expect_size=\"49536000\"] \n  21 -> 28 [size =\"49536000\"]\n  21 -> 32 [size =\"49536000\"]\n  21 -> 32 [size =\"49536000\"]\n  21 -> 34 [size =\"49536000\"]\n  21 -> 37 [size =\"49536000\"]\n  21 -> 41 [size =\"49536000\"]\n  21 -> 44 [size =\"49536000\"]\n  22 [size=\"27205632\", alpha=\"0.12\", expect_size=\"13602816\"] \n  22 -> 28 [size =\"13602816\"]\n  22 -> 31 [size =\"13602816\"]\n  22 -> 32 [size =\"13602816\"]\n  22 -> 34 [size =\"13602816\"]\n  22 -> 35 [size =\"13602816\"]\n  22 -> 40 [size =\"13602816\"]\n  22 -> 44 [size =\"13602816\"]\n  23 [size=\"65953792\", alpha=\"0.16\", expect_size=\"32976896\"] \n  23 -> 28 [size =\"32976896\"]\n  23 -> 32 [size =\"32976896\"]\n  23 -> 34 [size =\"32976896\"]\n  23 -> 35 [size =\"32976896\"]\n  23 -> 37 [size =\"32976896\"]\n  23 -> 44 [size =\"32976896\"]\n  23 -> 44 [size =\"32976896\"]\n  24 [size=\"65521664\", alpha=\"0.06\", expect_size=\"32760832\"] \n  24 -> 28 [size =\"32760832\"]\n  24 -> 31 [size =\"32760832\"]\n  24 -> 32 [size =\"32760832\"]\n  24 -> 35 [size =\"32760832\"]\n  24 -> 36 [size =\"32760832\"]\n  24 -> 38 [size =\"32760832\"]\n  24 -> 40 [size =\"32760832\"]\n  24 -> 43 [size =\"32760832\"]\n  25 [size=\"64557056\", alpha=\"0.11\", expect_size=\"32278528\"] \n  25 -> 28 [size =\"32278528\"]\n  25 -> 30 [size =\"32278528\"]\n  25 -> 31 [size =\"32278528\"]\n  25 -> 32 [size =\"32278528\"]\n  25 -> 33 [size =\"32278528\"]\n  25 -> 34 [size =\"32278528\"]\n  25 -> 38 [size =\"32278528\"]\n  25 -> 42 [size =\"32278528\"]\n  26 [size=\"50227200\", alpha=\"0.06\", expect_size=\"25113600\"] \n  26 -> 28 [size =\"25113600\"]\n  26 -> 29 [size =\"25113600\"]\n  26 -> 31 [size =\"25113600\"]\n  26 -> 32 [size =\"25113600\"]\n  26 -> 34 [size =\"25113600\"]\n  26 -> 35 [size =\"25113600\"]\n  26 -> 37 [size =\"25113600\"]\n  26 -> 42 [size =\"25113600\"]\n  27 [size=\"32217088\", alpha=\"0.19\", expect_size=\"16108544\"] \n  27 -> 31 [size =\"16108544\"]\n  27 -> 33 [size =\"16108544\"]\n  27 -> 34 [size =\"16108544\"]\n  27 -> 38 [size =\"16108544\"]\n  27 -> 43 [size =\"16108544\"]\n  28 [size=\"44920832\", alpha=\"0.20\", expect_size=\"22460416\"] \n  28 -> 45 [size =\"22460416\"]\n  28 -> 47 [size =\"22460416\"]\n  28 -> 48 [size =\"22460416\"]\n  28 -> 50 [size =\"22460416\"]\n  29 [size=\"42868736\", alpha=\"0.13\", expect_size=\"21434368\"] \n  29 -> 45 [size =\"21434368\"]\n  29 -> 47 [size =\"21434368\"]\n  29 -> 48 [size =\"21434368\"]\n  29 -> 50 [size =\"21434368\"]\n  30 [size=\"20729856\", alpha=\"0.00\", expect_size=\"10364928\"] \n  30 -> 47 [size =\"10364928\"]\n  30 -> 48 [size =\"10364928\"]\n  30 -> 48 [size =\"10364928\"]\n  30 -> 49 [size =\"10364928\"]\n  30 -> 50 [size =\"10364928\"]\n  31 [size=\"50386944\", alpha=\"0.05\", expect_size=\"25193472\"] \n  31 -> 45 [size =\"25193472\"]\n  31 -> 48 [size =\"25193472\"]\n  31 -> 49 [size =\"25193472\"]\n  31 -> 49 [size =\"25193472\"]\n  31 -> 50 [size =\"25193472\"]\n  32 [size=\"102238208\", alpha=\"0.02\", expect_size=\"51119104\"] \n  32 -> 45 [size =\"51119104\"]\n  32 -> 48 [size =\"51119104\"]\n  32 -> 49 [size =\"51119104\"]\n  33 [size=\"66754560\", alpha=\"0.14\", expect_size=\"33377280\"] \n  33 -> 46 [size =\"33377280\"]\n  33 -> 49 [size =\"33377280\"]\n  34 [size=\"48904192\", alpha=\"0.18\", expect_size=\"24452096\"] \n  34 -> 46 [size =\"24452096\"]\n  34 -> 47 [size =\"24452096\"]\n  35 [size=\"76849152\", alpha=\"0.14\", expect_size=\"38424576\"] \n  35 -> 45 [size =\"38424576\"]\n  35 -> 46 [size =\"38424576\"]\n  35 -> 49 [size =\"38424576\"]\n  36 [size=\"34146304\", alpha=\"0.03\", expect_size=\"17073152\"] \n  36 -> 45 [size =\"17073152\"]\n  36 -> 46 [size =\"17073152\"]\n  36 -> 47 [size =\"17073152\"]\n  36 -> 48 [size =\"17073152\"]\n  37 [size=\"61986816\", alpha=\"0.14\", expect_size=\"30993408\"] \n  37 -> 45 [size =\"30993408\"]\n  37 -> 50 [size =\"30993408\"]\n  38 [size=\"58292224\", alpha=\"0.04\", expect_size=\"29146112\"] \n  38 -> 45 [size =\"29146112\"]\n  38 -> 46 [size =\"29146112\"]\n  39 [size=\"57346048\", alpha=\"0.05\", expect_size=\"28673024\"] \n  39 -> 45 [size =\"28673024\"]\n  39 -> 46 [size =\"28673024\"]\n  40 [size=\"24977408\", alpha=\"0.03\", expect_size=\"12488704\"] \n  40 -> 47 [size =\"12488704\"]\n  41 [size=\"26187776\", alpha=\"0.00\", expect_size=\"13093888\"] \n  41 -> 46 [size =\"13093888\"]\n  41 -> 47 [size =\"13093888\"]\n  41 -> 48 [size =\"13093888\"]\n  41 -> 49 [size =\"13093888\"]\n  42 [size=\"48472064\", alpha=\"0.00\", expect_size=\"24236032\"] \n  42 -> 45 [size =\"24236032\"]\n  42 -> 48 [size =\"24236032\"]\n  43 [size=\"57696256\", alpha=\"0.12\", expect_size=\"28848128\"] \n  43 -> 48 [size =\"28848128\"]\n  44 [size=\"27404288\", alpha=\"0.16\", expect_size=\"13702144\"] \n  44 -> 45 [size =\"13702144\"]\n  44 -> 46 [size =\"13702144\"]\n  44 -> 47 [size =\"13702144\"]\n  44 -> 48 [size =\"13702144\"]\n  44 -> 49 [size =\"13702144\"]\n  44 -> 50 [size =\"13702144\"]\n  45 [size=\"16699392\", alpha=\"0.11\", expect_size=\"8349696\"] \n  46 [size=\"80480256\", alpha=\"0.15\", expect_size=\"40240128\"] \n  47 [size=\"95676416\", alpha=\"0.03\", expect_size=\"47838208\"] \n  48 [size=\"66633728\", alpha=\"0.19\", expect_size=\"33316864\"] \n  49 [size=\"87527424\", alpha=\"0.01\", expect_size=\"43763712\"] \n  50 [size=\"18933760\", alpha=\"0.05\", expect_size=\"9466880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146322773\", alpha=\"0.19\", expect_size=\"43896832\"] \n  1 -> 3 [size =\"43896832\"]\n  1 -> 4 [size =\"43896832\"]\n  2 [size=\"68355413\", alpha=\"0.18\", expect_size=\"20506624\"] \n  2 -> 3 [size =\"20506624\"]\n  2 -> 4 [size =\"20506624\"]\n  2 -> 5 [size =\"20506624\"]\n  3 [size=\"68003840\", alpha=\"0.08\", expect_size=\"20401152\"] \n  3 -> 6 [size =\"20401152\"]\n  3 -> 7 [size =\"20401152\"]\n  4 [size=\"68164267\", alpha=\"0.11\", expect_size=\"20449280\"] \n  4 -> 6 [size =\"20449280\"]\n  4 -> 7 [size =\"20449280\"]\n  5 [size=\"110216533\", alpha=\"0.18\", expect_size=\"33064960\"] \n  5 -> 6 [size =\"33064960\"]\n  5 -> 7 [size =\"33064960\"]\n  6 [size=\"160303787\", alpha=\"0.10\", expect_size=\"48091136\"] \n  6 -> 8 [size =\"48091136\"]\n  6 -> 9 [size =\"48091136\"]\n  7 [size=\"159092053\", alpha=\"0.16\", expect_size=\"47727616\"] \n  7 -> 8 [size =\"47727616\"]\n  8 [size=\"41093120\", alpha=\"0.04\", expect_size=\"12327936\"] \n  9 [size=\"73809920\", alpha=\"0.13\", expect_size=\"22142976\"] \n  9 -> 10 [size =\"22142976\"]\n  10 [size=\"53852160\", alpha=\"0.11\", expect_size=\"16155648\"] \n  10 -> 11 [size =\"16155648\"]\n  10 -> 12 [size =\"16155648\"]\n  10 -> 13 [size =\"16155648\"]\n  11 [size=\"53602987\", alpha=\"0.03\", expect_size=\"16080896\"] \n  11 -> 14 [size =\"16080896\"]\n  11 -> 15 [size =\"16080896\"]\n  11 -> 16 [size =\"16080896\"]\n  12 [size=\"46656853\", alpha=\"0.14\", expect_size=\"13997056\"] \n  12 -> 16 [size =\"13997056\"]\n  12 -> 17 [size =\"13997056\"]\n  13 [size=\"32112640\", alpha=\"0.20\", expect_size=\"9633792\"] \n  13 -> 15 [size =\"9633792\"]\n  13 -> 16 [size =\"9633792\"]\n  13 -> 17 [size =\"9633792\"]\n  14 [size=\"96771413\", alpha=\"0.18\", expect_size=\"29031424\"] \n  14 -> 18 [size =\"29031424\"]\n  15 [size=\"25982293\", alpha=\"0.08\", expect_size=\"7794688\"] \n  16 [size=\"171025067\", alpha=\"0.19\", expect_size=\"51307520\"] \n  17 [size=\"93658453\", alpha=\"0.08\", expect_size=\"28097536\"] \n  17 -> 19 [size =\"28097536\"]\n  17 -> 20 [size =\"28097536\"]\n  17 -> 21 [size =\"28097536\"]\n  18 [size=\"60467200\", alpha=\"0.00\", expect_size=\"18140160\"] \n  18 -> 22 [size =\"18140160\"]\n  18 -> 23 [size =\"18140160\"]\n  19 [size=\"91139413\", alpha=\"0.11\", expect_size=\"27341824\"] \n  20 [size=\"39174827\", alpha=\"0.13\", expect_size=\"11752448\"] \n  20 -> 23 [size =\"11752448\"]\n  21 [size=\"126170453\", alpha=\"0.13\", expect_size=\"37851136\"] \n  21 -> 22 [size =\"37851136\"]\n  21 -> 23 [size =\"37851136\"]\n  22 [size=\"150545067\", alpha=\"0.18\", expect_size=\"45163520\"] \n  22 -> 24 [size =\"45163520\"]\n  22 -> 25 [size =\"45163520\"]\n  23 [size=\"106240000\", alpha=\"0.10\", expect_size=\"31872000\"] \n  23 -> 25 [size =\"31872000\"]\n  24 [size=\"102557013\", alpha=\"0.09\", expect_size=\"30767104\"] \n  24 -> 26 [size =\"30767104\"]\n  25 [size=\"84633600\", alpha=\"0.19\", expect_size=\"25390080\"] \n  26 [size=\"144827733\", alpha=\"0.08\", expect_size=\"43448320\"] \n  26 -> 27 [size =\"43448320\"]\n  26 -> 28 [size =\"43448320\"]\n  27 [size=\"134321493\", alpha=\"0.14\", expect_size=\"40296448\"] \n  27 -> 30 [size =\"40296448\"]\n  28 [size=\"41929387\", alpha=\"0.04\", expect_size=\"12578816\"] \n  28 -> 29 [size =\"12578816\"]\n  28 -> 30 [size =\"12578816\"]\n  29 [size=\"45482667\", alpha=\"0.00\", expect_size=\"13644800\"] \n  29 -> 31 [size =\"13644800\"]\n  29 -> 32 [size =\"13644800\"]\n  29 -> 33 [size =\"13644800\"]\n  30 [size=\"129464320\", alpha=\"0.02\", expect_size=\"38839296\"] \n  30 -> 31 [size =\"38839296\"]\n  30 -> 32 [size =\"38839296\"]\n  30 -> 33 [size =\"38839296\"]\n  30 -> 34 [size =\"38839296\"]\n  31 [size=\"78213120\", alpha=\"0.08\", expect_size=\"23463936\"] \n  31 -> 35 [size =\"23463936\"]\n  32 [size=\"20578987\", alpha=\"0.17\", expect_size=\"6173696\"] \n  32 -> 35 [size =\"6173696\"]\n  32 -> 36 [size =\"6173696\"]\n  33 [size=\"164720640\", alpha=\"0.09\", expect_size=\"49416192\"] \n  33 -> 36 [size =\"49416192\"]\n  34 [size=\"89316693\", alpha=\"0.10\", expect_size=\"26795008\"] \n  34 -> 35 [size =\"26795008\"]\n  34 -> 36 [size =\"26795008\"]\n  35 [size=\"159624533\", alpha=\"0.13\", expect_size=\"47887360\"] \n  35 -> 38 [size =\"47887360\"]\n  35 -> 39 [size =\"47887360\"]\n  36 [size=\"153811627\", alpha=\"0.15\", expect_size=\"46143488\"] \n  36 -> 37 [size =\"46143488\"]\n  36 -> 39 [size =\"46143488\"]\n  36 -> 40 [size =\"46143488\"]\n  37 [size=\"57425920\", alpha=\"0.07\", expect_size=\"17227776\"] \n  37 -> 41 [size =\"17227776\"]\n  38 [size=\"169366187\", alpha=\"0.04\", expect_size=\"50809856\"] \n  38 -> 42 [size =\"50809856\"]\n  38 -> 43 [size =\"50809856\"]\n  39 [size=\"41396907\", alpha=\"0.11\", expect_size=\"12419072\"] \n  39 -> 41 [size =\"12419072\"]\n  39 -> 43 [size =\"12419072\"]\n  40 [size=\"44417707\", alpha=\"0.00\", expect_size=\"13325312\"] \n  40 -> 41 [size =\"13325312\"]\n  40 -> 42 [size =\"13325312\"]\n  40 -> 43 [size =\"13325312\"]\n  41 [size=\"57524907\", alpha=\"0.03\", expect_size=\"17257472\"] \n  41 -> 45 [size =\"17257472\"]\n  41 -> 47 [size =\"17257472\"]\n  42 [size=\"116841813\", alpha=\"0.03\", expect_size=\"35052544\"] \n  42 -> 45 [size =\"35052544\"]\n  42 -> 46 [size =\"35052544\"]\n  43 [size=\"94272853\", alpha=\"0.15\", expect_size=\"28281856\"] \n  43 -> 44 [size =\"28281856\"]\n  43 -> 46 [size =\"28281856\"]\n  44 [size=\"161730560\", alpha=\"0.17\", expect_size=\"48519168\"] \n  44 -> 48 [size =\"48519168\"]\n  45 [size=\"83944107\", alpha=\"0.08\", expect_size=\"25183232\"] \n  45 -> 49 [size =\"25183232\"]\n  45 -> 50 [size =\"25183232\"]\n  46 [size=\"26705920\", alpha=\"0.15\", expect_size=\"8011776\"] \n  46 -> 50 [size =\"8011776\"]\n  47 [size=\"143571627\", alpha=\"0.17\", expect_size=\"43071488\"] \n  47 -> 48 [size =\"43071488\"]\n  48 [size=\"38857387\", alpha=\"0.02\", expect_size=\"11657216\"] \n  49 [size=\"70137173\", alpha=\"0.10\", expect_size=\"21041152\"] \n  50 [size=\"153784320\", alpha=\"0.13\", expect_size=\"46135296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52654080\", alpha=\"0.12\", expect_size=\"15796224\"] \n  1 -> 3 [size =\"15796224\"]\n  1 -> 4 [size =\"15796224\"]\n  1 -> 5 [size =\"15796224\"]\n  2 [size=\"57647787\", alpha=\"0.04\", expect_size=\"17294336\"] \n  2 -> 3 [size =\"17294336\"]\n  2 -> 4 [size =\"17294336\"]\n  2 -> 5 [size =\"17294336\"]\n  3 [size=\"34560000\", alpha=\"0.07\", expect_size=\"10368000\"] \n  3 -> 6 [size =\"10368000\"]\n  3 -> 7 [size =\"10368000\"]\n  4 [size=\"132935680\", alpha=\"0.06\", expect_size=\"39880704\"] \n  4 -> 6 [size =\"39880704\"]\n  5 [size=\"72837120\", alpha=\"0.11\", expect_size=\"21851136\"] \n  5 -> 6 [size =\"21851136\"]\n  5 -> 8 [size =\"21851136\"]\n  6 [size=\"116254720\", alpha=\"0.12\", expect_size=\"34876416\"] \n  6 -> 9 [size =\"34876416\"]\n  6 -> 10 [size =\"34876416\"]\n  7 [size=\"49971200\", alpha=\"0.08\", expect_size=\"14991360\"] \n  8 [size=\"124566187\", alpha=\"0.16\", expect_size=\"37369856\"] \n  9 [size=\"172653227\", alpha=\"0.17\", expect_size=\"51795968\"] \n  9 -> 11 [size =\"51795968\"]\n  9 -> 12 [size =\"51795968\"]\n  10 [size=\"155883520\", alpha=\"0.05\", expect_size=\"46765056\"] \n  10 -> 11 [size =\"46765056\"]\n  10 -> 12 [size =\"46765056\"]\n  11 [size=\"150104747\", alpha=\"0.18\", expect_size=\"45031424\"] \n  11 -> 13 [size =\"45031424\"]\n  11 -> 14 [size =\"45031424\"]\n  12 [size=\"86941013\", alpha=\"0.16\", expect_size=\"26082304\"] \n  12 -> 14 [size =\"26082304\"]\n  13 [size=\"122214400\", alpha=\"0.17\", expect_size=\"36664320\"] \n  13 -> 15 [size =\"36664320\"]\n  13 -> 16 [size =\"36664320\"]\n  14 [size=\"19770027\", alpha=\"0.20\", expect_size=\"5931008\"] \n  14 -> 15 [size =\"5931008\"]\n  14 -> 16 [size =\"5931008\"]\n  15 [size=\"63703040\", alpha=\"0.10\", expect_size=\"19110912\"] \n  15 -> 17 [size =\"19110912\"]\n  15 -> 18 [size =\"19110912\"]\n  16 [size=\"153927680\", alpha=\"0.08\", expect_size=\"46178304\"] \n  16 -> 17 [size =\"46178304\"]\n  16 -> 18 [size =\"46178304\"]\n  17 [size=\"91129173\", alpha=\"0.02\", expect_size=\"27338752\"] \n  17 -> 20 [size =\"27338752\"]\n  17 -> 21 [size =\"27338752\"]\n  18 [size=\"154453333\", alpha=\"0.13\", expect_size=\"46336000\"] \n  18 -> 19 [size =\"46336000\"]\n  18 -> 20 [size =\"46336000\"]\n  19 [size=\"119453013\", alpha=\"0.16\", expect_size=\"35835904\"] \n  19 -> 22 [size =\"35835904\"]\n  19 -> 23 [size =\"35835904\"]\n  19 -> 24 [size =\"35835904\"]\n  20 [size=\"95057920\", alpha=\"0.02\", expect_size=\"28517376\"] \n  20 -> 22 [size =\"28517376\"]\n  20 -> 23 [size =\"28517376\"]\n  20 -> 24 [size =\"28517376\"]\n  21 [size=\"130474667\", alpha=\"0.12\", expect_size=\"39142400\"] \n  21 -> 22 [size =\"39142400\"]\n  21 -> 23 [size =\"39142400\"]\n  22 [size=\"112530773\", alpha=\"0.08\", expect_size=\"33759232\"] \n  22 -> 25 [size =\"33759232\"]\n  22 -> 26 [size =\"33759232\"]\n  23 [size=\"80295253\", alpha=\"0.06\", expect_size=\"24088576\"] \n  23 -> 25 [size =\"24088576\"]\n  23 -> 26 [size =\"24088576\"]\n  23 -> 27 [size =\"24088576\"]\n  24 [size=\"57173333\", alpha=\"0.18\", expect_size=\"17152000\"] \n  24 -> 25 [size =\"17152000\"]\n  24 -> 26 [size =\"17152000\"]\n  25 [size=\"54487040\", alpha=\"0.17\", expect_size=\"16346112\"] \n  25 -> 29 [size =\"16346112\"]\n  26 [size=\"134386347\", alpha=\"0.09\", expect_size=\"40315904\"] \n  26 -> 28 [size =\"40315904\"]\n  26 -> 29 [size =\"40315904\"]\n  27 [size=\"36611413\", alpha=\"0.06\", expect_size=\"10983424\"] \n  27 -> 28 [size =\"10983424\"]\n  27 -> 29 [size =\"10983424\"]\n  28 [size=\"52309333\", alpha=\"0.15\", expect_size=\"15692800\"] \n  28 -> 30 [size =\"15692800\"]\n  28 -> 31 [size =\"15692800\"]\n  28 -> 32 [size =\"15692800\"]\n  29 [size=\"153825280\", alpha=\"0.05\", expect_size=\"46147584\"] \n  29 -> 30 [size =\"46147584\"]\n  29 -> 32 [size =\"46147584\"]\n  30 [size=\"120330240\", alpha=\"0.12\", expect_size=\"36099072\"] \n  30 -> 33 [size =\"36099072\"]\n  30 -> 34 [size =\"36099072\"]\n  31 [size=\"134027947\", alpha=\"0.16\", expect_size=\"40208384\"] \n  31 -> 34 [size =\"40208384\"]\n  32 [size=\"72806400\", alpha=\"0.09\", expect_size=\"21841920\"] \n  32 -> 33 [size =\"21841920\"]\n  32 -> 34 [size =\"21841920\"]\n  33 [size=\"134123520\", alpha=\"0.15\", expect_size=\"40237056\"] \n  33 -> 35 [size =\"40237056\"]\n  33 -> 36 [size =\"40237056\"]\n  34 [size=\"20493653\", alpha=\"0.01\", expect_size=\"6148096\"] \n  34 -> 35 [size =\"6148096\"]\n  34 -> 36 [size =\"6148096\"]\n  35 [size=\"161952427\", alpha=\"0.14\", expect_size=\"48585728\"] \n  35 -> 38 [size =\"48585728\"]\n  35 -> 39 [size =\"48585728\"]\n  36 [size=\"142001493\", alpha=\"0.03\", expect_size=\"42600448\"] \n  36 -> 37 [size =\"42600448\"]\n  36 -> 38 [size =\"42600448\"]\n  36 -> 39 [size =\"42600448\"]\n  37 [size=\"59415893\", alpha=\"0.02\", expect_size=\"17824768\"] \n  37 -> 40 [size =\"17824768\"]\n  38 [size=\"103983787\", alpha=\"0.19\", expect_size=\"31195136\"] \n  38 -> 41 [size =\"31195136\"]\n  39 [size=\"68218880\", alpha=\"0.08\", expect_size=\"20465664\"] \n  39 -> 41 [size =\"20465664\"]\n  40 [size=\"107301547\", alpha=\"0.08\", expect_size=\"32190464\"] \n  40 -> 42 [size =\"32190464\"]\n  41 [size=\"45066240\", alpha=\"0.01\", expect_size=\"13519872\"] \n  41 -> 42 [size =\"13519872\"]\n  41 -> 43 [size =\"13519872\"]\n  41 -> 44 [size =\"13519872\"]\n  42 [size=\"171431253\", alpha=\"0.07\", expect_size=\"51429376\"] \n  42 -> 45 [size =\"51429376\"]\n  42 -> 46 [size =\"51429376\"]\n  43 [size=\"83998720\", alpha=\"0.01\", expect_size=\"25199616\"] \n  43 -> 45 [size =\"25199616\"]\n  43 -> 46 [size =\"25199616\"]\n  44 [size=\"44800000\", alpha=\"0.19\", expect_size=\"13440000\"] \n  44 -> 45 [size =\"13440000\"]\n  44 -> 46 [size =\"13440000\"]\n  45 [size=\"56132267\", alpha=\"0.03\", expect_size=\"16839680\"] \n  45 -> 47 [size =\"16839680\"]\n  45 -> 48 [size =\"16839680\"]\n  46 [size=\"164215467\", alpha=\"0.01\", expect_size=\"49264640\"] \n  46 -> 47 [size =\"49264640\"]\n  46 -> 48 [size =\"49264640\"]\n  47 [size=\"33652053\", alpha=\"0.02\", expect_size=\"10095616\"] \n  47 -> 49 [size =\"10095616\"]\n  48 [size=\"52664320\", alpha=\"0.07\", expect_size=\"15799296\"] \n  48 -> 49 [size =\"15799296\"]\n  48 -> 50 [size =\"15799296\"]\n  49 [size=\"43659947\", alpha=\"0.10\", expect_size=\"13097984\"] \n  50 [size=\"108612267\", alpha=\"0.05\", expect_size=\"32583680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.100.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85952000\", alpha=\"0.16\", expect_size=\"34380800\"] \n  1 -> 2 [size =\"34380800\"]\n  2 [size=\"74106880\", alpha=\"0.03\", expect_size=\"29642752\"] \n  2 -> 3 [size =\"29642752\"]\n  3 [size=\"97858560\", alpha=\"0.14\", expect_size=\"39143424\"] \n  3 -> 4 [size =\"39143424\"]\n  4 [size=\"21429760\", alpha=\"0.10\", expect_size=\"8571904\"] \n  4 -> 5 [size =\"8571904\"]\n  5 [size=\"115320320\", alpha=\"0.14\", expect_size=\"46128128\"] \n  5 -> 6 [size =\"46128128\"]\n  6 [size=\"72476160\", alpha=\"0.14\", expect_size=\"28990464\"] \n  6 -> 7 [size =\"28990464\"]\n  7 [size=\"111923200\", alpha=\"0.01\", expect_size=\"44769280\"] \n  7 -> 8 [size =\"44769280\"]\n  8 [size=\"55365120\", alpha=\"0.03\", expect_size=\"22146048\"] \n  8 -> 9 [size =\"22146048\"]\n  9 [size=\"113640960\", alpha=\"0.02\", expect_size=\"45456384\"] \n  9 -> 10 [size =\"45456384\"]\n  10 [size=\"31063040\", alpha=\"0.06\", expect_size=\"12425216\"] \n  10 -> 11 [size =\"12425216\"]\n  11 [size=\"85153280\", alpha=\"0.01\", expect_size=\"34061312\"] \n  11 -> 12 [size =\"34061312\"]\n  12 [size=\"60024320\", alpha=\"0.12\", expect_size=\"24009728\"] \n  12 -> 13 [size =\"24009728\"]\n  13 [size=\"77719040\", alpha=\"0.18\", expect_size=\"31087616\"] \n  13 -> 14 [size =\"31087616\"]\n  14 [size=\"43059200\", alpha=\"0.18\", expect_size=\"17223680\"] \n  14 -> 15 [size =\"17223680\"]\n  15 [size=\"103577600\", alpha=\"0.15\", expect_size=\"41431040\"] \n  15 -> 16 [size =\"41431040\"]\n  16 [size=\"70950400\", alpha=\"0.18\", expect_size=\"28380160\"] \n  16 -> 17 [size =\"28380160\"]\n  17 [size=\"33978880\", alpha=\"0.04\", expect_size=\"13591552\"] \n  17 -> 18 [size =\"13591552\"]\n  18 [size=\"37767680\", alpha=\"0.15\", expect_size=\"15107072\"] \n  18 -> 19 [size =\"15107072\"]\n  19 [size=\"57564160\", alpha=\"0.14\", expect_size=\"23025664\"] \n  19 -> 20 [size =\"23025664\"]\n  20 [size=\"69998080\", alpha=\"0.03\", expect_size=\"27999232\"] \n  20 -> 21 [size =\"27999232\"]\n  21 [size=\"103984640\", alpha=\"0.03\", expect_size=\"41593856\"] \n  21 -> 22 [size =\"41593856\"]\n  22 [size=\"110443520\", alpha=\"0.14\", expect_size=\"44177408\"] \n  22 -> 23 [size =\"44177408\"]\n  23 [size=\"65658880\", alpha=\"0.20\", expect_size=\"26263552\"] \n  23 -> 24 [size =\"26263552\"]\n  24 [size=\"55078400\", alpha=\"0.07\", expect_size=\"22031360\"] \n  24 -> 25 [size =\"22031360\"]\n  25 [size=\"42257920\", alpha=\"0.11\", expect_size=\"16903168\"] \n  25 -> 26 [size =\"16903168\"]\n  26 [size=\"14630400\", alpha=\"0.05\", expect_size=\"5852160\"] \n  26 -> 27 [size =\"5852160\"]\n  27 [size=\"120002560\", alpha=\"0.16\", expect_size=\"48001024\"] \n  27 -> 28 [size =\"48001024\"]\n  28 [size=\"26478080\", alpha=\"0.14\", expect_size=\"10591232\"] \n  28 -> 29 [size =\"10591232\"]\n  29 [size=\"112821760\", alpha=\"0.09\", expect_size=\"45128704\"] \n  29 -> 30 [size =\"45128704\"]\n  30 [size=\"80363520\", alpha=\"0.07\", expect_size=\"32145408\"] \n  30 -> 31 [size =\"32145408\"]\n  31 [size=\"96875520\", alpha=\"0.18\", expect_size=\"38750208\"] \n  31 -> 32 [size =\"38750208\"]\n  32 [size=\"117240320\", alpha=\"0.16\", expect_size=\"46896128\"] \n  32 -> 33 [size =\"46896128\"]\n  33 [size=\"84490240\", alpha=\"0.05\", expect_size=\"33796096\"] \n  33 -> 34 [size =\"33796096\"]\n  34 [size=\"83379200\", alpha=\"0.20\", expect_size=\"33351680\"] \n  34 -> 35 [size =\"33351680\"]\n  35 [size=\"122229760\", alpha=\"0.09\", expect_size=\"48891904\"] \n  35 -> 36 [size =\"48891904\"]\n  36 [size=\"67328000\", alpha=\"0.09\", expect_size=\"26931200\"] \n  36 -> 37 [size =\"26931200\"]\n  37 [size=\"96010240\", alpha=\"0.12\", expect_size=\"38404096\"] \n  37 -> 38 [size =\"38404096\"]\n  38 [size=\"71165440\", alpha=\"0.19\", expect_size=\"28466176\"] \n  38 -> 39 [size =\"28466176\"]\n  39 [size=\"35048960\", alpha=\"0.14\", expect_size=\"14019584\"] \n  39 -> 40 [size =\"14019584\"]\n  40 [size=\"88194560\", alpha=\"0.18\", expect_size=\"35277824\"] \n  40 -> 41 [size =\"35277824\"]\n  41 [size=\"130598400\", alpha=\"0.18\", expect_size=\"52239360\"] \n  41 -> 42 [size =\"52239360\"]\n  42 [size=\"116341760\", alpha=\"0.15\", expect_size=\"46536704\"] \n  42 -> 43 [size =\"46536704\"]\n  43 [size=\"92336640\", alpha=\"0.20\", expect_size=\"36934656\"] \n  43 -> 44 [size =\"36934656\"]\n  44 [size=\"123200000\", alpha=\"0.12\", expect_size=\"49280000\"] \n  44 -> 45 [size =\"49280000\"]\n  45 [size=\"120921600\", alpha=\"0.09\", expect_size=\"48368640\"] \n  45 -> 46 [size =\"48368640\"]\n  46 [size=\"58004480\", alpha=\"0.07\", expect_size=\"23201792\"] \n  46 -> 47 [size =\"23201792\"]\n  47 [size=\"110261760\", alpha=\"0.03\", expect_size=\"44104704\"] \n  47 -> 48 [size =\"44104704\"]\n  48 [size=\"62632960\", alpha=\"0.01\", expect_size=\"25053184\"] \n  48 -> 49 [size =\"25053184\"]\n  49 [size=\"57751040\", alpha=\"0.16\", expect_size=\"23100416\"] \n  49 -> 50 [size =\"23100416\"]\n  50 [size=\"22100480\", alpha=\"0.02\", expect_size=\"8840192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.101.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108039680\", alpha=\"0.03\", expect_size=\"43215872\"] \n  1 -> 34 [size =\"43215872\"]\n  1 -> 35 [size =\"43215872\"]\n  1 -> 36 [size =\"43215872\"]\n  1 -> 39 [size =\"43215872\"]\n  1 -> 41 [size =\"43215872\"]\n  1 -> 43 [size =\"43215872\"]\n  1 -> 44 [size =\"43215872\"]\n  1 -> 45 [size =\"43215872\"]\n  1 -> 48 [size =\"43215872\"]\n  1 -> 49 [size =\"43215872\"]\n  2 [size=\"120130560\", alpha=\"0.06\", expect_size=\"48052224\"] \n  2 -> 37 [size =\"48052224\"]\n  2 -> 39 [size =\"48052224\"]\n  3 [size=\"47214080\", alpha=\"0.01\", expect_size=\"18885632\"] \n  3 -> 35 [size =\"18885632\"]\n  3 -> 39 [size =\"18885632\"]\n  3 -> 42 [size =\"18885632\"]\n  3 -> 46 [size =\"18885632\"]\n  3 -> 48 [size =\"18885632\"]\n  3 -> 49 [size =\"18885632\"]\n  4 [size=\"44288000\", alpha=\"0.08\", expect_size=\"17715200\"] \n  4 -> 39 [size =\"17715200\"]\n  4 -> 45 [size =\"17715200\"]\n  4 -> 48 [size =\"17715200\"]\n  5 [size=\"103109120\", alpha=\"0.10\", expect_size=\"41243648\"] \n  5 -> 36 [size =\"41243648\"]\n  5 -> 37 [size =\"41243648\"]\n  5 -> 39 [size =\"41243648\"]\n  5 -> 43 [size =\"41243648\"]\n  5 -> 45 [size =\"41243648\"]\n  5 -> 49 [size =\"41243648\"]\n  6 [size=\"74624000\", alpha=\"0.03\", expect_size=\"29849600\"] \n  6 -> 34 [size =\"29849600\"]\n  6 -> 37 [size =\"29849600\"]\n  6 -> 41 [size =\"29849600\"]\n  6 -> 42 [size =\"29849600\"]\n  6 -> 45 [size =\"29849600\"]\n  6 -> 48 [size =\"29849600\"]\n  6 -> 49 [size =\"29849600\"]\n  7 [size=\"46318080\", alpha=\"0.20\", expect_size=\"18527232\"] \n  7 -> 34 [size =\"18527232\"]\n  7 -> 35 [size =\"18527232\"]\n  7 -> 36 [size =\"18527232\"]\n  7 -> 39 [size =\"18527232\"]\n  7 -> 41 [size =\"18527232\"]\n  7 -> 44 [size =\"18527232\"]\n  7 -> 45 [size =\"18527232\"]\n  7 -> 48 [size =\"18527232\"]\n  7 -> 49 [size =\"18527232\"]\n  7 -> 50 [size =\"18527232\"]\n  8 [size=\"59008000\", alpha=\"0.12\", expect_size=\"23603200\"] \n  8 -> 34 [size =\"23603200\"]\n  8 -> 36 [size =\"23603200\"]\n  8 -> 41 [size =\"23603200\"]\n  8 -> 44 [size =\"23603200\"]\n  8 -> 48 [size =\"23603200\"]\n  8 -> 49 [size =\"23603200\"]\n  8 -> 50 [size =\"23603200\"]\n  9 [size=\"110561280\", alpha=\"0.12\", expect_size=\"44224512\"] \n  9 -> 36 [size =\"44224512\"]\n  9 -> 39 [size =\"44224512\"]\n  9 -> 40 [size =\"44224512\"]\n  9 -> 41 [size =\"44224512\"]\n  9 -> 44 [size =\"44224512\"]\n  9 -> 45 [size =\"44224512\"]\n  9 -> 47 [size =\"44224512\"]\n  9 -> 48 [size =\"44224512\"]\n  9 -> 49 [size =\"44224512\"]\n  9 -> 50 [size =\"44224512\"]\n  10 [size=\"83888640\", alpha=\"0.02\", expect_size=\"33555456\"] \n  10 -> 34 [size =\"33555456\"]\n  10 -> 41 [size =\"33555456\"]\n  10 -> 42 [size =\"33555456\"]\n  10 -> 44 [size =\"33555456\"]\n  10 -> 45 [size =\"33555456\"]\n  10 -> 48 [size =\"33555456\"]\n  10 -> 49 [size =\"33555456\"]\n  11 [size=\"76290560\", alpha=\"0.18\", expect_size=\"30516224\"] \n  11 -> 36 [size =\"30516224\"]\n  11 -> 38 [size =\"30516224\"]\n  11 -> 39 [size =\"30516224\"]\n  11 -> 41 [size =\"30516224\"]\n  12 [size=\"94522880\", alpha=\"0.14\", expect_size=\"37809152\"] \n  12 -> 34 [size =\"37809152\"]\n  12 -> 39 [size =\"37809152\"]\n  12 -> 41 [size =\"37809152\"]\n  12 -> 43 [size =\"37809152\"]\n  12 -> 44 [size =\"37809152\"]\n  12 -> 45 [size =\"37809152\"]\n  12 -> 49 [size =\"37809152\"]\n  13 [size=\"13176320\", alpha=\"0.12\", expect_size=\"5270528\"] \n  13 -> 34 [size =\"5270528\"]\n  13 -> 39 [size =\"5270528\"]\n  13 -> 42 [size =\"5270528\"]\n  13 -> 43 [size =\"5270528\"]\n  13 -> 44 [size =\"5270528\"]\n  13 -> 45 [size =\"5270528\"]\n  13 -> 49 [size =\"5270528\"]\n  14 [size=\"18247680\", alpha=\"0.06\", expect_size=\"7299072\"] \n  14 -> 36 [size =\"7299072\"]\n  14 -> 37 [size =\"7299072\"]\n  14 -> 39 [size =\"7299072\"]\n  14 -> 41 [size =\"7299072\"]\n  14 -> 42 [size =\"7299072\"]\n  14 -> 45 [size =\"7299072\"]\n  14 -> 49 [size =\"7299072\"]\n  15 [size=\"65589760\", alpha=\"0.09\", expect_size=\"26235904\"] \n  15 -> 34 [size =\"26235904\"]\n  15 -> 35 [size =\"26235904\"]\n  15 -> 37 [size =\"26235904\"]\n  15 -> 39 [size =\"26235904\"]\n  15 -> 40 [size =\"26235904\"]\n  15 -> 42 [size =\"26235904\"]\n  15 -> 45 [size =\"26235904\"]\n  15 -> 47 [size =\"26235904\"]\n  15 -> 49 [size =\"26235904\"]\n  16 [size=\"122867200\", alpha=\"0.04\", expect_size=\"49146880\"] \n  16 -> 34 [size =\"49146880\"]\n  16 -> 36 [size =\"49146880\"]\n  16 -> 39 [size =\"49146880\"]\n  16 -> 42 [size =\"49146880\"]\n  16 -> 47 [size =\"49146880\"]\n  16 -> 49 [size =\"49146880\"]\n  17 [size=\"24391680\", alpha=\"0.08\", expect_size=\"9756672\"] \n  17 -> 34 [size =\"9756672\"]\n  17 -> 35 [size =\"9756672\"]\n  17 -> 36 [size =\"9756672\"]\n  17 -> 42 [size =\"9756672\"]\n  17 -> 43 [size =\"9756672\"]\n  17 -> 49 [size =\"9756672\"]\n  18 [size=\"23168000\", alpha=\"0.09\", expect_size=\"9267200\"] \n  18 -> 34 [size =\"9267200\"]\n  18 -> 35 [size =\"9267200\"]\n  18 -> 36 [size =\"9267200\"]\n  18 -> 40 [size =\"9267200\"]\n  18 -> 41 [size =\"9267200\"]\n  18 -> 42 [size =\"9267200\"]\n  18 -> 43 [size =\"9267200\"]\n  18 -> 46 [size =\"9267200\"]\n  18 -> 47 [size =\"9267200\"]\n  19 [size=\"96020480\", alpha=\"0.01\", expect_size=\"38408192\"] \n  19 -> 34 [size =\"38408192\"]\n  19 -> 35 [size =\"38408192\"]\n  19 -> 36 [size =\"38408192\"]\n  19 -> 39 [size =\"38408192\"]\n  19 -> 42 [size =\"38408192\"]\n  19 -> 42 [size =\"38408192\"]\n  19 -> 43 [size =\"38408192\"]\n  20 [size=\"49308160\", alpha=\"0.04\", expect_size=\"19723264\"] \n  20 -> 35 [size =\"19723264\"]\n  20 -> 36 [size =\"19723264\"]\n  20 -> 41 [size =\"19723264\"]\n  20 -> 42 [size =\"19723264\"]\n  20 -> 43 [size =\"19723264\"]\n  20 -> 44 [size =\"19723264\"]\n  20 -> 45 [size =\"19723264\"]\n  21 [size=\"63244800\", alpha=\"0.02\", expect_size=\"25297920\"] \n  21 -> 35 [size =\"25297920\"]\n  21 -> 36 [size =\"25297920\"]\n  21 -> 40 [size =\"25297920\"]\n  21 -> 41 [size =\"25297920\"]\n  21 -> 42 [size =\"25297920\"]\n  21 -> 43 [size =\"25297920\"]\n  21 -> 45 [size =\"25297920\"]\n  21 -> 48 [size =\"25297920\"]\n  21 -> 49 [size =\"25297920\"]\n  22 [size=\"53040640\", alpha=\"0.19\", expect_size=\"21216256\"] \n  22 -> 39 [size =\"21216256\"]\n  22 -> 41 [size =\"21216256\"]\n  22 -> 42 [size =\"21216256\"]\n  22 -> 48 [size =\"21216256\"]\n  23 [size=\"16128000\", alpha=\"0.01\", expect_size=\"6451200\"] \n  23 -> 35 [size =\"6451200\"]\n  23 -> 41 [size =\"6451200\"]\n  23 -> 48 [size =\"6451200\"]\n  24 [size=\"89126400\", alpha=\"0.09\", expect_size=\"35650560\"] \n  24 -> 36 [size =\"35650560\"]\n  24 -> 41 [size =\"35650560\"]\n  24 -> 42 [size =\"35650560\"]\n  24 -> 43 [size =\"35650560\"]\n  24 -> 50 [size =\"35650560\"]\n  25 [size=\"122862080\", alpha=\"0.12\", expect_size=\"49144832\"] \n  25 -> 35 [size =\"49144832\"]\n  25 -> 39 [size =\"49144832\"]\n  25 -> 42 [size =\"49144832\"]\n  25 -> 43 [size =\"49144832\"]\n  26 [size=\"58982400\", alpha=\"0.06\", expect_size=\"23592960\"] \n  26 -> 35 [size =\"23592960\"]\n  26 -> 39 [size =\"23592960\"]\n  27 [size=\"80437760\", alpha=\"0.05\", expect_size=\"32175104\"] \n  27 -> 39 [size =\"32175104\"]\n  27 -> 40 [size =\"32175104\"]\n  27 -> 41 [size =\"32175104\"]\n  27 -> 42 [size =\"32175104\"]\n  27 -> 44 [size =\"32175104\"]\n  27 -> 45 [size =\"32175104\"]\n  28 [size=\"128238080\", alpha=\"0.12\", expect_size=\"51295232\"] \n  28 -> 35 [size =\"51295232\"]\n  28 -> 42 [size =\"51295232\"]\n  28 -> 43 [size =\"51295232\"]\n  28 -> 45 [size =\"51295232\"]\n  28 -> 48 [size =\"51295232\"]\n  29 [size=\"61649920\", alpha=\"0.15\", expect_size=\"24659968\"] \n  29 -> 35 [size =\"24659968\"]\n  29 -> 39 [size =\"24659968\"]\n  29 -> 42 [size =\"24659968\"]\n  29 -> 45 [size =\"24659968\"]\n  29 -> 49 [size =\"24659968\"]\n  30 [size=\"67804160\", alpha=\"0.10\", expect_size=\"27121664\"] \n  30 -> 34 [size =\"27121664\"]\n  30 -> 39 [size =\"27121664\"]\n  30 -> 40 [size =\"27121664\"]\n  30 -> 42 [size =\"27121664\"]\n  30 -> 44 [size =\"27121664\"]\n  30 -> 45 [size =\"27121664\"]\n  30 -> 47 [size =\"27121664\"]\n  30 -> 48 [size =\"27121664\"]\n  30 -> 49 [size =\"27121664\"]\n  31 [size=\"88517120\", alpha=\"0.16\", expect_size=\"35406848\"] \n  31 -> 34 [size =\"35406848\"]\n  31 -> 37 [size =\"35406848\"]\n  31 -> 39 [size =\"35406848\"]\n  31 -> 40 [size =\"35406848\"]\n  31 -> 44 [size =\"35406848\"]\n  31 -> 48 [size =\"35406848\"]\n  31 -> 49 [size =\"35406848\"]\n  32 [size=\"100759040\", alpha=\"0.16\", expect_size=\"40303616\"] \n  32 -> 34 [size =\"40303616\"]\n  32 -> 35 [size =\"40303616\"]\n  32 -> 36 [size =\"40303616\"]\n  32 -> 39 [size =\"40303616\"]\n  32 -> 44 [size =\"40303616\"]\n  32 -> 48 [size =\"40303616\"]\n  32 -> 49 [size =\"40303616\"]\n  33 [size=\"93588480\", alpha=\"0.16\", expect_size=\"37435392\"] \n  33 -> 34 [size =\"37435392\"]\n  33 -> 35 [size =\"37435392\"]\n  33 -> 36 [size =\"37435392\"]\n  33 -> 39 [size =\"37435392\"]\n  33 -> 41 [size =\"37435392\"]\n  33 -> 45 [size =\"37435392\"]\n  33 -> 48 [size =\"37435392\"]\n  34 [size=\"101114880\", alpha=\"0.17\", expect_size=\"40445952\"] \n  35 [size=\"36554240\", alpha=\"0.07\", expect_size=\"14621696\"] \n  36 [size=\"107875840\", alpha=\"0.15\", expect_size=\"43150336\"] \n  37 [size=\"22704640\", alpha=\"0.05\", expect_size=\"9081856\"] \n  38 [size=\"50178560\", alpha=\"0.17\", expect_size=\"20071424\"] \n  39 [size=\"118238720\", alpha=\"0.03\", expect_size=\"47295488\"] \n  40 [size=\"88407040\", alpha=\"0.15\", expect_size=\"35362816\"] \n  41 [size=\"31470080\", alpha=\"0.16\", expect_size=\"12588032\"] \n  42 [size=\"128573440\", alpha=\"0.03\", expect_size=\"51429376\"] \n  43 [size=\"107246080\", alpha=\"0.11\", expect_size=\"42898432\"] \n  44 [size=\"85516800\", alpha=\"0.12\", expect_size=\"34206720\"] \n  45 [size=\"68531200\", alpha=\"0.12\", expect_size=\"27412480\"] \n  46 [size=\"108774400\", alpha=\"0.19\", expect_size=\"43509760\"] \n  47 [size=\"80076800\", alpha=\"0.17\", expect_size=\"32030720\"] \n  48 [size=\"111687680\", alpha=\"0.15\", expect_size=\"44675072\"] \n  49 [size=\"95705600\", alpha=\"0.02\", expect_size=\"38282240\"] \n  50 [size=\"115041280\", alpha=\"0.17\", expect_size=\"46016512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.102.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120212480\", alpha=\"0.01\", expect_size=\"48084992\"] \n  1 -> 9 [size =\"48084992\"]\n  1 -> 11 [size =\"48084992\"]\n  2 [size=\"83581440\", alpha=\"0.10\", expect_size=\"33432576\"] \n  2 -> 7 [size =\"33432576\"]\n  2 -> 9 [size =\"33432576\"]\n  3 [size=\"102428160\", alpha=\"0.17\", expect_size=\"40971264\"] \n  3 -> 7 [size =\"40971264\"]\n  3 -> 9 [size =\"40971264\"]\n  3 -> 12 [size =\"40971264\"]\n  3 -> 13 [size =\"40971264\"]\n  4 [size=\"79526400\", alpha=\"0.00\", expect_size=\"31810560\"] \n  4 -> 10 [size =\"31810560\"]\n  5 [size=\"124185600\", alpha=\"0.08\", expect_size=\"49674240\"] \n  5 -> 10 [size =\"49674240\"]\n  6 [size=\"30737920\", alpha=\"0.02\", expect_size=\"12295168\"] \n  6 -> 8 [size =\"12295168\"]\n  6 -> 10 [size =\"12295168\"]\n  6 -> 13 [size =\"12295168\"]\n  7 [size=\"103582720\", alpha=\"0.16\", expect_size=\"41433088\"] \n  7 -> 15 [size =\"41433088\"]\n  7 -> 20 [size =\"41433088\"]\n  8 [size=\"42923520\", alpha=\"0.01\", expect_size=\"17169408\"] \n  8 -> 14 [size =\"17169408\"]\n  9 [size=\"15336960\", alpha=\"0.20\", expect_size=\"6134784\"] \n  9 -> 14 [size =\"6134784\"]\n  9 -> 15 [size =\"6134784\"]\n  10 [size=\"18611200\", alpha=\"0.10\", expect_size=\"7444480\"] \n  10 -> 15 [size =\"7444480\"]\n  10 -> 16 [size =\"7444480\"]\n  10 -> 17 [size =\"7444480\"]\n  11 [size=\"125544960\", alpha=\"0.12\", expect_size=\"50217984\"] \n  11 -> 15 [size =\"50217984\"]\n  12 [size=\"15728640\", alpha=\"0.01\", expect_size=\"6291456\"] \n  12 -> 19 [size =\"6291456\"]\n  13 [size=\"76275200\", alpha=\"0.03\", expect_size=\"30510080\"] \n  13 -> 17 [size =\"30510080\"]\n  13 -> 18 [size =\"30510080\"]\n  14 [size=\"59612160\", alpha=\"0.06\", expect_size=\"23844864\"] \n  14 -> 24 [size =\"23844864\"]\n  14 -> 26 [size =\"23844864\"]\n  14 -> 27 [size =\"23844864\"]\n  15 [size=\"59699200\", alpha=\"0.03\", expect_size=\"23879680\"] \n  16 [size=\"107993600\", alpha=\"0.03\", expect_size=\"43197440\"] \n  16 -> 21 [size =\"43197440\"]\n  16 -> 24 [size =\"43197440\"]\n  16 -> 26 [size =\"43197440\"]\n  17 [size=\"118968320\", alpha=\"0.14\", expect_size=\"47587328\"] \n  17 -> 22 [size =\"47587328\"]\n  18 [size=\"96468480\", alpha=\"0.11\", expect_size=\"38587392\"] \n  18 -> 21 [size =\"38587392\"]\n  18 -> 22 [size =\"38587392\"]\n  18 -> 23 [size =\"38587392\"]\n  18 -> 25 [size =\"38587392\"]\n  19 [size=\"101665280\", alpha=\"0.07\", expect_size=\"40666112\"] \n  19 -> 22 [size =\"40666112\"]\n  19 -> 23 [size =\"40666112\"]\n  19 -> 27 [size =\"40666112\"]\n  20 [size=\"99827200\", alpha=\"0.00\", expect_size=\"39930880\"] \n  20 -> 22 [size =\"39930880\"]\n  20 -> 23 [size =\"39930880\"]\n  20 -> 26 [size =\"39930880\"]\n  20 -> 27 [size =\"39930880\"]\n  21 [size=\"39178240\", alpha=\"0.12\", expect_size=\"15671296\"] \n  21 -> 28 [size =\"15671296\"]\n  22 [size=\"109253120\", alpha=\"0.15\", expect_size=\"43701248\"] \n  22 -> 32 [size =\"43701248\"]\n  23 [size=\"117790720\", alpha=\"0.13\", expect_size=\"47116288\"] \n  23 -> 29 [size =\"47116288\"]\n  23 -> 30 [size =\"47116288\"]\n  23 -> 31 [size =\"47116288\"]\n  23 -> 32 [size =\"47116288\"]\n  23 -> 33 [size =\"47116288\"]\n  24 [size=\"20426240\", alpha=\"0.03\", expect_size=\"8170496\"] \n  24 -> 32 [size =\"8170496\"]\n  25 [size=\"55493120\", alpha=\"0.11\", expect_size=\"22197248\"] \n  25 -> 28 [size =\"22197248\"]\n  26 [size=\"72550400\", alpha=\"0.03\", expect_size=\"29020160\"] \n  26 -> 28 [size =\"29020160\"]\n  27 [size=\"90593280\", alpha=\"0.09\", expect_size=\"36237312\"] \n  27 -> 29 [size =\"36237312\"]\n  27 -> 30 [size =\"36237312\"]\n  28 [size=\"53250560\", alpha=\"0.01\", expect_size=\"21300224\"] \n  28 -> 36 [size =\"21300224\"]\n  28 -> 37 [size =\"21300224\"]\n  29 [size=\"120066560\", alpha=\"0.13\", expect_size=\"48026624\"] \n  29 -> 35 [size =\"48026624\"]\n  29 -> 38 [size =\"48026624\"]\n  29 -> 39 [size =\"48026624\"]\n  30 [size=\"45155840\", alpha=\"0.06\", expect_size=\"18062336\"] \n  30 -> 34 [size =\"18062336\"]\n  30 -> 36 [size =\"18062336\"]\n  31 [size=\"47398400\", alpha=\"0.19\", expect_size=\"18959360\"] \n  31 -> 39 [size =\"18959360\"]\n  32 [size=\"115934720\", alpha=\"0.11\", expect_size=\"46373888\"] \n  32 -> 36 [size =\"46373888\"]\n  32 -> 37 [size =\"46373888\"]\n  32 -> 38 [size =\"46373888\"]\n  32 -> 40 [size =\"46373888\"]\n  33 [size=\"85314560\", alpha=\"0.15\", expect_size=\"34125824\"] \n  33 -> 38 [size =\"34125824\"]\n  33 -> 39 [size =\"34125824\"]\n  34 [size=\"44853760\", alpha=\"0.06\", expect_size=\"17941504\"] \n  34 -> 41 [size =\"17941504\"]\n  35 [size=\"60979200\", alpha=\"0.05\", expect_size=\"24391680\"] \n  35 -> 45 [size =\"24391680\"]\n  36 [size=\"126796800\", alpha=\"0.00\", expect_size=\"50718720\"] \n  36 -> 44 [size =\"50718720\"]\n  36 -> 47 [size =\"50718720\"]\n  37 [size=\"24017920\", alpha=\"0.13\", expect_size=\"9607168\"] \n  37 -> 41 [size =\"9607168\"]\n  37 -> 43 [size =\"9607168\"]\n  37 -> 44 [size =\"9607168\"]\n  38 [size=\"79042560\", alpha=\"0.01\", expect_size=\"31617024\"] \n  38 -> 42 [size =\"31617024\"]\n  38 -> 45 [size =\"31617024\"]\n  39 [size=\"85760000\", alpha=\"0.03\", expect_size=\"34304000\"] \n  39 -> 42 [size =\"34304000\"]\n  40 [size=\"46405120\", alpha=\"0.20\", expect_size=\"18562048\"] \n  40 -> 42 [size =\"18562048\"]\n  40 -> 44 [size =\"18562048\"]\n  40 -> 46 [size =\"18562048\"]\n  41 [size=\"84444160\", alpha=\"0.01\", expect_size=\"33777664\"] \n  42 [size=\"76385280\", alpha=\"0.19\", expect_size=\"30554112\"] \n  43 [size=\"24852480\", alpha=\"0.15\", expect_size=\"9940992\"] \n  43 -> 48 [size =\"9940992\"]\n  43 -> 49 [size =\"9940992\"]\n  43 -> 50 [size =\"9940992\"]\n  44 [size=\"110978560\", alpha=\"0.11\", expect_size=\"44391424\"] \n  44 -> 48 [size =\"44391424\"]\n  44 -> 49 [size =\"44391424\"]\n  44 -> 50 [size =\"44391424\"]\n  45 [size=\"27376640\", alpha=\"0.15\", expect_size=\"10950656\"] \n  45 -> 49 [size =\"10950656\"]\n  45 -> 50 [size =\"10950656\"]\n  46 [size=\"56568320\", alpha=\"0.09\", expect_size=\"22627328\"] \n  47 [size=\"57512960\", alpha=\"0.16\", expect_size=\"23005184\"] \n  48 [size=\"18106880\", alpha=\"0.10\", expect_size=\"7242752\"] \n  49 [size=\"21711360\", alpha=\"0.02\", expect_size=\"8684544\"] \n  50 [size=\"38922240\", alpha=\"0.20\", expect_size=\"15568896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.103.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107648000\", alpha=\"0.10\", expect_size=\"43059200\"] \n  2 [size=\"74918400\", alpha=\"0.02\", expect_size=\"29967360\"] \n  2 -> 20 [size =\"29967360\"]\n  3 [size=\"122472960\", alpha=\"0.02\", expect_size=\"48989184\"] \n  3 -> 15 [size =\"48989184\"]\n  3 -> 17 [size =\"48989184\"]\n  3 -> 18 [size =\"48989184\"]\n  3 -> 21 [size =\"48989184\"]\n  4 [size=\"42270720\", alpha=\"0.14\", expect_size=\"16908288\"] \n  4 -> 15 [size =\"16908288\"]\n  4 -> 17 [size =\"16908288\"]\n  4 -> 20 [size =\"16908288\"]\n  4 -> 21 [size =\"16908288\"]\n  5 [size=\"24839680\", alpha=\"0.07\", expect_size=\"9935872\"] \n  6 [size=\"83340800\", alpha=\"0.06\", expect_size=\"33336320\"] \n  6 -> 16 [size =\"33336320\"]\n  6 -> 20 [size =\"33336320\"]\n  7 [size=\"60523520\", alpha=\"0.11\", expect_size=\"24209408\"] \n  7 -> 18 [size =\"24209408\"]\n  7 -> 22 [size =\"24209408\"]\n  8 [size=\"36480000\", alpha=\"0.10\", expect_size=\"14592000\"] \n  8 -> 17 [size =\"14592000\"]\n  8 -> 18 [size =\"14592000\"]\n  9 [size=\"118512640\", alpha=\"0.19\", expect_size=\"47405056\"] \n  9 -> 17 [size =\"47405056\"]\n  9 -> 18 [size =\"47405056\"]\n  10 [size=\"129587200\", alpha=\"0.11\", expect_size=\"51834880\"] \n  10 -> 17 [size =\"51834880\"]\n  10 -> 20 [size =\"51834880\"]\n  10 -> 21 [size =\"51834880\"]\n  11 [size=\"58519040\", alpha=\"0.15\", expect_size=\"23407616\"] \n  11 -> 19 [size =\"23407616\"]\n  11 -> 21 [size =\"23407616\"]\n  12 [size=\"117319680\", alpha=\"0.11\", expect_size=\"46927872\"] \n  12 -> 17 [size =\"46927872\"]\n  12 -> 21 [size =\"46927872\"]\n  13 [size=\"127951360\", alpha=\"0.17\", expect_size=\"51180544\"] \n  13 -> 21 [size =\"51180544\"]\n  14 [size=\"24051200\", alpha=\"0.17\", expect_size=\"9620480\"] \n  14 -> 15 [size =\"9620480\"]\n  14 -> 19 [size =\"9620480\"]\n  14 -> 21 [size =\"9620480\"]\n  15 [size=\"109544960\", alpha=\"0.07\", expect_size=\"43817984\"] \n  15 -> 24 [size =\"43817984\"]\n  15 -> 26 [size =\"43817984\"]\n  15 -> 29 [size =\"43817984\"]\n  16 [size=\"30236160\", alpha=\"0.17\", expect_size=\"12094464\"] \n  16 -> 25 [size =\"12094464\"]\n  16 -> 28 [size =\"12094464\"]\n  17 [size=\"67860480\", alpha=\"0.06\", expect_size=\"27144192\"] \n  17 -> 23 [size =\"27144192\"]\n  17 -> 25 [size =\"27144192\"]\n  17 -> 26 [size =\"27144192\"]\n  17 -> 27 [size =\"27144192\"]\n  17 -> 28 [size =\"27144192\"]\n  17 -> 29 [size =\"27144192\"]\n  18 [size=\"15536640\", alpha=\"0.15\", expect_size=\"6214656\"] \n  18 -> 24 [size =\"6214656\"]\n  18 -> 25 [size =\"6214656\"]\n  18 -> 26 [size =\"6214656\"]\n  18 -> 27 [size =\"6214656\"]\n  19 [size=\"74544640\", alpha=\"0.18\", expect_size=\"29817856\"] \n  20 [size=\"69025280\", alpha=\"0.01\", expect_size=\"27610112\"] \n  20 -> 24 [size =\"27610112\"]\n  20 -> 25 [size =\"27610112\"]\n  21 [size=\"14248960\", alpha=\"0.20\", expect_size=\"5699584\"] \n  21 -> 27 [size =\"5699584\"]\n  22 [size=\"104094720\", alpha=\"0.10\", expect_size=\"41637888\"] \n  22 -> 26 [size =\"41637888\"]\n  22 -> 28 [size =\"41637888\"]\n  23 [size=\"50101760\", alpha=\"0.18\", expect_size=\"20040704\"] \n  23 -> 32 [size =\"20040704\"]\n  23 -> 36 [size =\"20040704\"]\n  23 -> 41 [size =\"20040704\"]\n  23 -> 44 [size =\"20040704\"]\n  24 [size=\"29744640\", alpha=\"0.11\", expect_size=\"11897856\"] \n  24 -> 36 [size =\"11897856\"]\n  25 [size=\"130516480\", alpha=\"0.06\", expect_size=\"52206592\"] \n  25 -> 35 [size =\"52206592\"]\n  25 -> 39 [size =\"52206592\"]\n  25 -> 41 [size =\"52206592\"]\n  25 -> 45 [size =\"52206592\"]\n  26 [size=\"56217600\", alpha=\"0.13\", expect_size=\"22487040\"] \n  26 -> 30 [size =\"22487040\"]\n  26 -> 31 [size =\"22487040\"]\n  26 -> 34 [size =\"22487040\"]\n  26 -> 37 [size =\"22487040\"]\n  26 -> 39 [size =\"22487040\"]\n  26 -> 41 [size =\"22487040\"]\n  27 [size=\"36707840\", alpha=\"0.08\", expect_size=\"14683136\"] \n  27 -> 30 [size =\"14683136\"]\n  27 -> 31 [size =\"14683136\"]\n  27 -> 33 [size =\"14683136\"]\n  27 -> 34 [size =\"14683136\"]\n  27 -> 35 [size =\"14683136\"]\n  27 -> 37 [size =\"14683136\"]\n  27 -> 38 [size =\"14683136\"]\n  27 -> 39 [size =\"14683136\"]\n  27 -> 40 [size =\"14683136\"]\n  27 -> 41 [size =\"14683136\"]\n  27 -> 44 [size =\"14683136\"]\n  28 [size=\"73638400\", alpha=\"0.07\", expect_size=\"29455360\"] \n  28 -> 30 [size =\"29455360\"]\n  28 -> 33 [size =\"29455360\"]\n  28 -> 34 [size =\"29455360\"]\n  28 -> 34 [size =\"29455360\"]\n  28 -> 35 [size =\"29455360\"]\n  28 -> 36 [size =\"29455360\"]\n  28 -> 42 [size =\"29455360\"]\n  28 -> 43 [size =\"29455360\"]\n  29 [size=\"43919360\", alpha=\"0.04\", expect_size=\"17567744\"] \n  29 -> 31 [size =\"17567744\"]\n  29 -> 43 [size =\"17567744\"]\n  30 [size=\"29729280\", alpha=\"0.01\", expect_size=\"11891712\"] \n  30 -> 47 [size =\"11891712\"]\n  30 -> 49 [size =\"11891712\"]\n  30 -> 50 [size =\"11891712\"]\n  31 [size=\"33963520\", alpha=\"0.05\", expect_size=\"13585408\"] \n  31 -> 47 [size =\"13585408\"]\n  32 [size=\"33200640\", alpha=\"0.07\", expect_size=\"13280256\"] \n  32 -> 49 [size =\"13280256\"]\n  33 [size=\"89246720\", alpha=\"0.08\", expect_size=\"35698688\"] \n  33 -> 49 [size =\"35698688\"]\n  34 [size=\"75548160\", alpha=\"0.12\", expect_size=\"30219264\"] \n  34 -> 50 [size =\"30219264\"]\n  35 [size=\"21263360\", alpha=\"0.11\", expect_size=\"8505344\"] \n  35 -> 46 [size =\"8505344\"]\n  36 [size=\"56092160\", alpha=\"0.14\", expect_size=\"22436864\"] \n  37 [size=\"14343680\", alpha=\"0.06\", expect_size=\"5737472\"] \n  37 -> 50 [size =\"5737472\"]\n  38 [size=\"61393920\", alpha=\"0.18\", expect_size=\"24557568\"] \n  38 -> 50 [size =\"24557568\"]\n  39 [size=\"102658560\", alpha=\"0.01\", expect_size=\"41063424\"] \n  39 -> 49 [size =\"41063424\"]\n  40 [size=\"125575680\", alpha=\"0.13\", expect_size=\"50230272\"] \n  40 -> 48 [size =\"50230272\"]\n  40 -> 50 [size =\"50230272\"]\n  41 [size=\"128663040\", alpha=\"0.05\", expect_size=\"51465216\"] \n  41 -> 48 [size =\"51465216\"]\n  41 -> 50 [size =\"51465216\"]\n  42 [size=\"39370240\", alpha=\"0.13\", expect_size=\"15748096\"] \n  42 -> 47 [size =\"15748096\"]\n  42 -> 50 [size =\"15748096\"]\n  43 [size=\"79877120\", alpha=\"0.07\", expect_size=\"31950848\"] \n  43 -> 49 [size =\"31950848\"]\n  44 [size=\"129098240\", alpha=\"0.04\", expect_size=\"51639296\"] \n  45 [size=\"80017920\", alpha=\"0.01\", expect_size=\"32007168\"] \n  45 -> 50 [size =\"32007168\"]\n  46 [size=\"29071360\", alpha=\"0.05\", expect_size=\"11628544\"] \n  47 [size=\"111357440\", alpha=\"0.13\", expect_size=\"44542976\"] \n  48 [size=\"27732480\", alpha=\"0.12\", expect_size=\"11092992\"] \n  49 [size=\"16560640\", alpha=\"0.15\", expect_size=\"6624256\"] \n  50 [size=\"21314560\", alpha=\"0.02\", expect_size=\"8525824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.104.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22763520\", alpha=\"0.15\", expect_size=\"11381760\"] \n  1 -> 27 [size =\"11381760\"]\n  1 -> 29 [size =\"11381760\"]\n  1 -> 31 [size =\"11381760\"]\n  1 -> 35 [size =\"11381760\"]\n  1 -> 38 [size =\"11381760\"]\n  1 -> 39 [size =\"11381760\"]\n  1 -> 41 [size =\"11381760\"]\n  1 -> 44 [size =\"11381760\"]\n  1 -> 45 [size =\"11381760\"]\n  1 -> 47 [size =\"11381760\"]\n  1 -> 50 [size =\"11381760\"]\n  2 [size=\"33468416\", alpha=\"0.02\", expect_size=\"16734208\"] \n  2 -> 27 [size =\"16734208\"]\n  2 -> 28 [size =\"16734208\"]\n  2 -> 29 [size =\"16734208\"]\n  2 -> 32 [size =\"16734208\"]\n  2 -> 33 [size =\"16734208\"]\n  2 -> 36 [size =\"16734208\"]\n  2 -> 37 [size =\"16734208\"]\n  2 -> 38 [size =\"16734208\"]\n  2 -> 39 [size =\"16734208\"]\n  2 -> 41 [size =\"16734208\"]\n  2 -> 42 [size =\"16734208\"]\n  2 -> 44 [size =\"16734208\"]\n  2 -> 46 [size =\"16734208\"]\n  3 [size=\"70473728\", alpha=\"0.02\", expect_size=\"35236864\"] \n  3 -> 27 [size =\"35236864\"]\n  3 -> 28 [size =\"35236864\"]\n  3 -> 29 [size =\"35236864\"]\n  3 -> 31 [size =\"35236864\"]\n  3 -> 33 [size =\"35236864\"]\n  3 -> 39 [size =\"35236864\"]\n  3 -> 45 [size =\"35236864\"]\n  3 -> 46 [size =\"35236864\"]\n  3 -> 50 [size =\"35236864\"]\n  4 [size=\"81446912\", alpha=\"0.05\", expect_size=\"40723456\"] \n  4 -> 29 [size =\"40723456\"]\n  4 -> 32 [size =\"40723456\"]\n  4 -> 33 [size =\"40723456\"]\n  4 -> 36 [size =\"40723456\"]\n  4 -> 42 [size =\"40723456\"]\n  4 -> 44 [size =\"40723456\"]\n  4 -> 46 [size =\"40723456\"]\n  4 -> 47 [size =\"40723456\"]\n  4 -> 50 [size =\"40723456\"]\n  5 [size=\"32372736\", alpha=\"0.02\", expect_size=\"16186368\"] \n  5 -> 27 [size =\"16186368\"]\n  5 -> 29 [size =\"16186368\"]\n  5 -> 31 [size =\"16186368\"]\n  5 -> 33 [size =\"16186368\"]\n  5 -> 38 [size =\"16186368\"]\n  5 -> 42 [size =\"16186368\"]\n  5 -> 44 [size =\"16186368\"]\n  5 -> 47 [size =\"16186368\"]\n  5 -> 48 [size =\"16186368\"]\n  5 -> 50 [size =\"16186368\"]\n  6 [size=\"69949440\", alpha=\"0.03\", expect_size=\"34974720\"] \n  6 -> 28 [size =\"34974720\"]\n  6 -> 36 [size =\"34974720\"]\n  6 -> 37 [size =\"34974720\"]\n  6 -> 39 [size =\"34974720\"]\n  6 -> 47 [size =\"34974720\"]\n  6 -> 48 [size =\"34974720\"]\n  6 -> 50 [size =\"34974720\"]\n  7 [size=\"33421312\", alpha=\"0.05\", expect_size=\"16710656\"] \n  7 -> 28 [size =\"16710656\"]\n  7 -> 32 [size =\"16710656\"]\n  7 -> 33 [size =\"16710656\"]\n  7 -> 36 [size =\"16710656\"]\n  7 -> 38 [size =\"16710656\"]\n  7 -> 46 [size =\"16710656\"]\n  7 -> 49 [size =\"16710656\"]\n  7 -> 50 [size =\"16710656\"]\n  8 [size=\"24471552\", alpha=\"0.10\", expect_size=\"12235776\"] \n  8 -> 27 [size =\"12235776\"]\n  8 -> 28 [size =\"12235776\"]\n  8 -> 29 [size =\"12235776\"]\n  8 -> 32 [size =\"12235776\"]\n  8 -> 35 [size =\"12235776\"]\n  8 -> 38 [size =\"12235776\"]\n  8 -> 39 [size =\"12235776\"]\n  8 -> 42 [size =\"12235776\"]\n  8 -> 46 [size =\"12235776\"]\n  8 -> 47 [size =\"12235776\"]\n  8 -> 50 [size =\"12235776\"]\n  9 [size=\"22095872\", alpha=\"0.14\", expect_size=\"11047936\"] \n  9 -> 28 [size =\"11047936\"]\n  9 -> 29 [size =\"11047936\"]\n  9 -> 31 [size =\"11047936\"]\n  9 -> 32 [size =\"11047936\"]\n  9 -> 33 [size =\"11047936\"]\n  9 -> 36 [size =\"11047936\"]\n  9 -> 38 [size =\"11047936\"]\n  9 -> 39 [size =\"11047936\"]\n  9 -> 40 [size =\"11047936\"]\n  9 -> 43 [size =\"11047936\"]\n  9 -> 46 [size =\"11047936\"]\n  9 -> 47 [size =\"11047936\"]\n  9 -> 48 [size =\"11047936\"]\n  9 -> 50 [size =\"11047936\"]\n  10 [size=\"60342272\", alpha=\"0.17\", expect_size=\"30171136\"] \n  10 -> 29 [size =\"30171136\"]\n  10 -> 31 [size =\"30171136\"]\n  10 -> 31 [size =\"30171136\"]\n  10 -> 35 [size =\"30171136\"]\n  10 -> 36 [size =\"30171136\"]\n  10 -> 37 [size =\"30171136\"]\n  10 -> 38 [size =\"30171136\"]\n  10 -> 39 [size =\"30171136\"]\n  10 -> 42 [size =\"30171136\"]\n  10 -> 43 [size =\"30171136\"]\n  10 -> 47 [size =\"30171136\"]\n  10 -> 49 [size =\"30171136\"]\n  10 -> 50 [size =\"30171136\"]\n  11 [size=\"100184064\", alpha=\"0.02\", expect_size=\"50092032\"] \n  11 -> 33 [size =\"50092032\"]\n  11 -> 35 [size =\"50092032\"]\n  11 -> 36 [size =\"50092032\"]\n  11 -> 39 [size =\"50092032\"]\n  11 -> 48 [size =\"50092032\"]\n  11 -> 49 [size =\"50092032\"]\n  11 -> 50 [size =\"50092032\"]\n  12 [size=\"78315520\", alpha=\"0.01\", expect_size=\"39157760\"] \n  12 -> 28 [size =\"39157760\"]\n  12 -> 31 [size =\"39157760\"]\n  12 -> 32 [size =\"39157760\"]\n  12 -> 36 [size =\"39157760\"]\n  12 -> 39 [size =\"39157760\"]\n  12 -> 48 [size =\"39157760\"]\n  12 -> 49 [size =\"39157760\"]\n  12 -> 50 [size =\"39157760\"]\n  13 [size=\"86976512\", alpha=\"0.20\", expect_size=\"43488256\"] \n  13 -> 28 [size =\"43488256\"]\n  13 -> 31 [size =\"43488256\"]\n  13 -> 32 [size =\"43488256\"]\n  13 -> 33 [size =\"43488256\"]\n  13 -> 36 [size =\"43488256\"]\n  13 -> 39 [size =\"43488256\"]\n  13 -> 41 [size =\"43488256\"]\n  13 -> 45 [size =\"43488256\"]\n  13 -> 46 [size =\"43488256\"]\n  13 -> 47 [size =\"43488256\"]\n  13 -> 48 [size =\"43488256\"]\n  13 -> 49 [size =\"43488256\"]\n  14 [size=\"97644544\", alpha=\"0.12\", expect_size=\"48822272\"] \n  14 -> 28 [size =\"48822272\"]\n  14 -> 31 [size =\"48822272\"]\n  14 -> 33 [size =\"48822272\"]\n  14 -> 33 [size =\"48822272\"]\n  14 -> 34 [size =\"48822272\"]\n  14 -> 35 [size =\"48822272\"]\n  14 -> 36 [size =\"48822272\"]\n  14 -> 39 [size =\"48822272\"]\n  14 -> 40 [size =\"48822272\"]\n  14 -> 42 [size =\"48822272\"]\n  14 -> 44 [size =\"48822272\"]\n  14 -> 48 [size =\"48822272\"]\n  14 -> 49 [size =\"48822272\"]\n  15 [size=\"24750080\", alpha=\"0.11\", expect_size=\"12375040\"] \n  15 -> 27 [size =\"12375040\"]\n  15 -> 28 [size =\"12375040\"]\n  15 -> 31 [size =\"12375040\"]\n  15 -> 35 [size =\"12375040\"]\n  15 -> 38 [size =\"12375040\"]\n  15 -> 39 [size =\"12375040\"]\n  15 -> 42 [size =\"12375040\"]\n  15 -> 47 [size =\"12375040\"]\n  15 -> 48 [size =\"12375040\"]\n  15 -> 49 [size =\"12375040\"]\n  15 -> 50 [size =\"12375040\"]\n  16 [size=\"33591296\", alpha=\"0.09\", expect_size=\"16795648\"] \n  16 -> 27 [size =\"16795648\"]\n  16 -> 28 [size =\"16795648\"]\n  16 -> 31 [size =\"16795648\"]\n  16 -> 35 [size =\"16795648\"]\n  16 -> 38 [size =\"16795648\"]\n  16 -> 39 [size =\"16795648\"]\n  16 -> 42 [size =\"16795648\"]\n  16 -> 48 [size =\"16795648\"]\n  16 -> 49 [size =\"16795648\"]\n  17 [size=\"48521216\", alpha=\"0.10\", expect_size=\"24260608\"] \n  17 -> 28 [size =\"24260608\"]\n  17 -> 28 [size =\"24260608\"]\n  17 -> 31 [size =\"24260608\"]\n  17 -> 32 [size =\"24260608\"]\n  17 -> 35 [size =\"24260608\"]\n  17 -> 38 [size =\"24260608\"]\n  17 -> 39 [size =\"24260608\"]\n  17 -> 42 [size =\"24260608\"]\n  17 -> 46 [size =\"24260608\"]\n  17 -> 50 [size =\"24260608\"]\n  18 [size=\"70473728\", alpha=\"0.19\", expect_size=\"35236864\"] \n  18 -> 27 [size =\"35236864\"]\n  18 -> 28 [size =\"35236864\"]\n  18 -> 29 [size =\"35236864\"]\n  18 -> 31 [size =\"35236864\"]\n  18 -> 32 [size =\"35236864\"]\n  18 -> 36 [size =\"35236864\"]\n  18 -> 38 [size =\"35236864\"]\n  18 -> 39 [size =\"35236864\"]\n  18 -> 42 [size =\"35236864\"]\n  18 -> 43 [size =\"35236864\"]\n  18 -> 45 [size =\"35236864\"]\n  18 -> 46 [size =\"35236864\"]\n  18 -> 48 [size =\"35236864\"]\n  18 -> 49 [size =\"35236864\"]\n  19 [size=\"25593856\", alpha=\"0.06\", expect_size=\"12796928\"] \n  19 -> 27 [size =\"12796928\"]\n  19 -> 28 [size =\"12796928\"]\n  19 -> 31 [size =\"12796928\"]\n  19 -> 32 [size =\"12796928\"]\n  19 -> 36 [size =\"12796928\"]\n  19 -> 38 [size =\"12796928\"]\n  19 -> 39 [size =\"12796928\"]\n  19 -> 39 [size =\"12796928\"]\n  19 -> 42 [size =\"12796928\"]\n  19 -> 45 [size =\"12796928\"]\n  19 -> 48 [size =\"12796928\"]\n  19 -> 49 [size =\"12796928\"]\n  20 [size=\"91285504\", alpha=\"0.13\", expect_size=\"45642752\"] \n  20 -> 28 [size =\"45642752\"]\n  20 -> 28 [size =\"45642752\"]\n  20 -> 32 [size =\"45642752\"]\n  20 -> 32 [size =\"45642752\"]\n  20 -> 39 [size =\"45642752\"]\n  20 -> 42 [size =\"45642752\"]\n  20 -> 46 [size =\"45642752\"]\n  20 -> 48 [size =\"45642752\"]\n  20 -> 49 [size =\"45642752\"]\n  21 [size=\"78772224\", alpha=\"0.03\", expect_size=\"39386112\"] \n  21 -> 28 [size =\"39386112\"]\n  21 -> 32 [size =\"39386112\"]\n  21 -> 32 [size =\"39386112\"]\n  21 -> 36 [size =\"39386112\"]\n  21 -> 38 [size =\"39386112\"]\n  21 -> 39 [size =\"39386112\"]\n  21 -> 45 [size =\"39386112\"]\n  21 -> 46 [size =\"39386112\"]\n  21 -> 47 [size =\"39386112\"]\n  21 -> 49 [size =\"39386112\"]\n  22 [size=\"87427072\", alpha=\"0.18\", expect_size=\"43713536\"] \n  22 -> 28 [size =\"43713536\"]\n  22 -> 33 [size =\"43713536\"]\n  22 -> 39 [size =\"43713536\"]\n  22 -> 42 [size =\"43713536\"]\n  22 -> 45 [size =\"43713536\"]\n  22 -> 46 [size =\"43713536\"]\n  22 -> 47 [size =\"43713536\"]\n  22 -> 48 [size =\"43713536\"]\n  22 -> 49 [size =\"43713536\"]\n  22 -> 50 [size =\"43713536\"]\n  23 [size=\"91340800\", alpha=\"0.05\", expect_size=\"45670400\"] \n  23 -> 27 [size =\"45670400\"]\n  23 -> 28 [size =\"45670400\"]\n  23 -> 29 [size =\"45670400\"]\n  23 -> 30 [size =\"45670400\"]\n  23 -> 36 [size =\"45670400\"]\n  23 -> 38 [size =\"45670400\"]\n  23 -> 39 [size =\"45670400\"]\n  23 -> 42 [size =\"45670400\"]\n  23 -> 46 [size =\"45670400\"]\n  23 -> 48 [size =\"45670400\"]\n  23 -> 49 [size =\"45670400\"]\n  23 -> 50 [size =\"45670400\"]\n  24 [size=\"90716160\", alpha=\"0.08\", expect_size=\"45358080\"] \n  24 -> 27 [size =\"45358080\"]\n  24 -> 28 [size =\"45358080\"]\n  24 -> 30 [size =\"45358080\"]\n  24 -> 31 [size =\"45358080\"]\n  24 -> 32 [size =\"45358080\"]\n  24 -> 36 [size =\"45358080\"]\n  24 -> 39 [size =\"45358080\"]\n  24 -> 42 [size =\"45358080\"]\n  24 -> 46 [size =\"45358080\"]\n  24 -> 47 [size =\"45358080\"]\n  24 -> 48 [size =\"45358080\"]\n  24 -> 50 [size =\"45358080\"]\n  25 [size=\"51369984\", alpha=\"0.15\", expect_size=\"25684992\"] \n  25 -> 27 [size =\"25684992\"]\n  25 -> 28 [size =\"25684992\"]\n  25 -> 29 [size =\"25684992\"]\n  25 -> 31 [size =\"25684992\"]\n  25 -> 32 [size =\"25684992\"]\n  25 -> 36 [size =\"25684992\"]\n  25 -> 39 [size =\"25684992\"]\n  25 -> 42 [size =\"25684992\"]\n  25 -> 47 [size =\"25684992\"]\n  25 -> 48 [size =\"25684992\"]\n  25 -> 50 [size =\"25684992\"]\n  26 [size=\"101507072\", alpha=\"0.15\", expect_size=\"50753536\"] \n  26 -> 28 [size =\"50753536\"]\n  26 -> 32 [size =\"50753536\"]\n  26 -> 33 [size =\"50753536\"]\n  26 -> 36 [size =\"50753536\"]\n  26 -> 39 [size =\"50753536\"]\n  26 -> 42 [size =\"50753536\"]\n  26 -> 46 [size =\"50753536\"]\n  27 [size=\"48267264\", alpha=\"0.19\", expect_size=\"24133632\"] \n  28 [size=\"96514048\", alpha=\"0.07\", expect_size=\"48257024\"] \n  29 [size=\"91936768\", alpha=\"0.17\", expect_size=\"45968384\"] \n  30 [size=\"24018944\", alpha=\"0.18\", expect_size=\"12009472\"] \n  31 [size=\"85088256\", alpha=\"0.17\", expect_size=\"42544128\"] \n  32 [size=\"98682880\", alpha=\"0.12\", expect_size=\"49341440\"] \n  33 [size=\"87785472\", alpha=\"0.02\", expect_size=\"43892736\"] \n  34 [size=\"18010112\", alpha=\"0.10\", expect_size=\"9005056\"] \n  35 [size=\"54695936\", alpha=\"0.02\", expect_size=\"27347968\"] \n  36 [size=\"30986240\", alpha=\"0.19\", expect_size=\"15493120\"] \n  37 [size=\"100716544\", alpha=\"0.04\", expect_size=\"50358272\"] \n  38 [size=\"98080768\", alpha=\"0.01\", expect_size=\"49040384\"] \n  39 [size=\"37066752\", alpha=\"0.02\", expect_size=\"18533376\"] \n  40 [size=\"23656448\", alpha=\"0.19\", expect_size=\"11828224\"] \n  41 [size=\"13336576\", alpha=\"0.12\", expect_size=\"6668288\"] \n  42 [size=\"95805440\", alpha=\"0.00\", expect_size=\"47902720\"] \n  43 [size=\"55781376\", alpha=\"0.06\", expect_size=\"27890688\"] \n  44 [size=\"64124928\", alpha=\"0.08\", expect_size=\"32062464\"] \n  45 [size=\"19257344\", alpha=\"0.20\", expect_size=\"9628672\"] \n  46 [size=\"29812736\", alpha=\"0.10\", expect_size=\"14906368\"] \n  47 [size=\"24526848\", alpha=\"0.09\", expect_size=\"12263424\"] \n  48 [size=\"41435136\", alpha=\"0.06\", expect_size=\"20717568\"] \n  49 [size=\"46157824\", alpha=\"0.20\", expect_size=\"23078912\"] \n  50 [size=\"53800960\", alpha=\"0.17\", expect_size=\"26900480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.105.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48048128\", alpha=\"0.13\", expect_size=\"24024064\"] \n  1 -> 6 [size =\"24024064\"]\n  2 [size=\"95672320\", alpha=\"0.10\", expect_size=\"47836160\"] \n  2 -> 5 [size =\"47836160\"]\n  3 [size=\"15867904\", alpha=\"0.18\", expect_size=\"7933952\"] \n  3 -> 4 [size =\"7933952\"]\n  3 -> 6 [size =\"7933952\"]\n  4 [size=\"73996288\", alpha=\"0.16\", expect_size=\"36998144\"] \n  4 -> 7 [size =\"36998144\"]\n  4 -> 8 [size =\"36998144\"]\n  4 -> 9 [size =\"36998144\"]\n  5 [size=\"50518016\", alpha=\"0.13\", expect_size=\"25259008\"] \n  5 -> 8 [size =\"25259008\"]\n  5 -> 9 [size =\"25259008\"]\n  6 [size=\"63692800\", alpha=\"0.16\", expect_size=\"31846400\"] \n  6 -> 7 [size =\"31846400\"]\n  6 -> 8 [size =\"31846400\"]\n  6 -> 9 [size =\"31846400\"]\n  7 [size=\"81199104\", alpha=\"0.09\", expect_size=\"40599552\"] \n  7 -> 10 [size =\"40599552\"]\n  7 -> 11 [size =\"40599552\"]\n  7 -> 12 [size =\"40599552\"]\n  8 [size=\"94042112\", alpha=\"0.17\", expect_size=\"47021056\"] \n  8 -> 10 [size =\"47021056\"]\n  8 -> 11 [size =\"47021056\"]\n  8 -> 12 [size =\"47021056\"]\n  9 [size=\"31356928\", alpha=\"0.14\", expect_size=\"15678464\"] \n  9 -> 10 [size =\"15678464\"]\n  9 -> 11 [size =\"15678464\"]\n  9 -> 12 [size =\"15678464\"]\n  10 [size=\"74964992\", alpha=\"0.10\", expect_size=\"37482496\"] \n  10 -> 13 [size =\"37482496\"]\n  10 -> 14 [size =\"37482496\"]\n  11 [size=\"73807872\", alpha=\"0.14\", expect_size=\"36903936\"] \n  11 -> 13 [size =\"36903936\"]\n  12 [size=\"40288256\", alpha=\"0.12\", expect_size=\"20144128\"] \n  12 -> 13 [size =\"20144128\"]\n  12 -> 14 [size =\"20144128\"]\n  13 [size=\"86577152\", alpha=\"0.07\", expect_size=\"43288576\"] \n  13 -> 15 [size =\"43288576\"]\n  13 -> 16 [size =\"43288576\"]\n  14 [size=\"76158976\", alpha=\"0.09\", expect_size=\"38079488\"] \n  14 -> 15 [size =\"38079488\"]\n  14 -> 16 [size =\"38079488\"]\n  15 [size=\"55283712\", alpha=\"0.06\", expect_size=\"27641856\"] \n  15 -> 17 [size =\"27641856\"]\n  15 -> 18 [size =\"27641856\"]\n  16 [size=\"21755904\", alpha=\"0.07\", expect_size=\"10877952\"] \n  16 -> 17 [size =\"10877952\"]\n  16 -> 18 [size =\"10877952\"]\n  17 [size=\"98977792\", alpha=\"0.02\", expect_size=\"49488896\"] \n  17 -> 19 [size =\"49488896\"]\n  17 -> 20 [size =\"49488896\"]\n  18 [size=\"46292992\", alpha=\"0.20\", expect_size=\"23146496\"] \n  18 -> 19 [size =\"23146496\"]\n  18 -> 20 [size =\"23146496\"]\n  19 [size=\"30896128\", alpha=\"0.12\", expect_size=\"15448064\"] \n  19 -> 21 [size =\"15448064\"]\n  19 -> 22 [size =\"15448064\"]\n  19 -> 23 [size =\"15448064\"]\n  20 [size=\"97701888\", alpha=\"0.07\", expect_size=\"48850944\"] \n  20 -> 21 [size =\"48850944\"]\n  20 -> 22 [size =\"48850944\"]\n  20 -> 23 [size =\"48850944\"]\n  21 [size=\"50855936\", alpha=\"0.10\", expect_size=\"25427968\"] \n  21 -> 24 [size =\"25427968\"]\n  21 -> 25 [size =\"25427968\"]\n  21 -> 26 [size =\"25427968\"]\n  22 [size=\"21929984\", alpha=\"0.11\", expect_size=\"10964992\"] \n  22 -> 24 [size =\"10964992\"]\n  22 -> 25 [size =\"10964992\"]\n  23 [size=\"78620672\", alpha=\"0.14\", expect_size=\"39310336\"] \n  23 -> 25 [size =\"39310336\"]\n  23 -> 26 [size =\"39310336\"]\n  24 [size=\"15427584\", alpha=\"0.10\", expect_size=\"7713792\"] \n  24 -> 27 [size =\"7713792\"]\n  25 [size=\"57114624\", alpha=\"0.14\", expect_size=\"28557312\"] \n  25 -> 27 [size =\"28557312\"]\n  25 -> 28 [size =\"28557312\"]\n  26 [size=\"84635648\", alpha=\"0.10\", expect_size=\"42317824\"] \n  26 -> 27 [size =\"42317824\"]\n  26 -> 28 [size =\"42317824\"]\n  27 [size=\"21469184\", alpha=\"0.00\", expect_size=\"10734592\"] \n  27 -> 29 [size =\"10734592\"]\n  27 -> 30 [size =\"10734592\"]\n  28 [size=\"32899072\", alpha=\"0.08\", expect_size=\"16449536\"] \n  28 -> 29 [size =\"16449536\"]\n  28 -> 30 [size =\"16449536\"]\n  29 [size=\"32260096\", alpha=\"0.01\", expect_size=\"16130048\"] \n  29 -> 31 [size =\"16130048\"]\n  29 -> 32 [size =\"16130048\"]\n  30 [size=\"87709696\", alpha=\"0.08\", expect_size=\"43854848\"] \n  30 -> 31 [size =\"43854848\"]\n  30 -> 32 [size =\"43854848\"]\n  31 [size=\"26290176\", alpha=\"0.07\", expect_size=\"13145088\"] \n  31 -> 34 [size =\"13145088\"]\n  32 [size=\"74305536\", alpha=\"0.14\", expect_size=\"37152768\"] \n  32 -> 33 [size =\"37152768\"]\n  32 -> 34 [size =\"37152768\"]\n  33 [size=\"33828864\", alpha=\"0.16\", expect_size=\"16914432\"] \n  33 -> 36 [size =\"16914432\"]\n  33 -> 37 [size =\"16914432\"]\n  34 [size=\"98983936\", alpha=\"0.12\", expect_size=\"49491968\"] \n  34 -> 35 [size =\"49491968\"]\n  34 -> 36 [size =\"49491968\"]\n  35 [size=\"50169856\", alpha=\"0.18\", expect_size=\"25084928\"] \n  35 -> 38 [size =\"25084928\"]\n  35 -> 39 [size =\"25084928\"]\n  35 -> 40 [size =\"25084928\"]\n  36 [size=\"21792768\", alpha=\"0.06\", expect_size=\"10896384\"] \n  36 -> 38 [size =\"10896384\"]\n  36 -> 39 [size =\"10896384\"]\n  36 -> 40 [size =\"10896384\"]\n  37 [size=\"67057664\", alpha=\"0.12\", expect_size=\"33528832\"] \n  37 -> 38 [size =\"33528832\"]\n  38 [size=\"67936256\", alpha=\"0.07\", expect_size=\"33968128\"] \n  38 -> 41 [size =\"33968128\"]\n  39 [size=\"13615104\", alpha=\"0.06\", expect_size=\"6807552\"] \n  39 -> 41 [size =\"6807552\"]\n  39 -> 42 [size =\"6807552\"]\n  40 [size=\"19337216\", alpha=\"0.03\", expect_size=\"9668608\"] \n  40 -> 41 [size =\"9668608\"]\n  41 [size=\"55209984\", alpha=\"0.09\", expect_size=\"27604992\"] \n  41 -> 43 [size =\"27604992\"]\n  41 -> 44 [size =\"27604992\"]\n  42 [size=\"90185728\", alpha=\"0.17\", expect_size=\"45092864\"] \n  42 -> 43 [size =\"45092864\"]\n  42 -> 44 [size =\"45092864\"]\n  43 [size=\"59695104\", alpha=\"0.19\", expect_size=\"29847552\"] \n  43 -> 45 [size =\"29847552\"]\n  43 -> 46 [size =\"29847552\"]\n  43 -> 47 [size =\"29847552\"]\n  44 [size=\"39833600\", alpha=\"0.03\", expect_size=\"19916800\"] \n  44 -> 46 [size =\"19916800\"]\n  44 -> 47 [size =\"19916800\"]\n  45 [size=\"96276480\", alpha=\"0.17\", expect_size=\"48138240\"] \n  45 -> 49 [size =\"48138240\"]\n  45 -> 50 [size =\"48138240\"]\n  46 [size=\"85078016\", alpha=\"0.06\", expect_size=\"42539008\"] \n  46 -> 48 [size =\"42539008\"]\n  46 -> 49 [size =\"42539008\"]\n  46 -> 50 [size =\"42539008\"]\n  47 [size=\"17508352\", alpha=\"0.17\", expect_size=\"8754176\"] \n  47 -> 49 [size =\"8754176\"]\n  47 -> 50 [size =\"8754176\"]\n  48 [size=\"76435456\", alpha=\"0.14\", expect_size=\"38217728\"] \n  49 [size=\"14551040\", alpha=\"0.15\", expect_size=\"7275520\"] \n  50 [size=\"41007104\", alpha=\"0.12\", expect_size=\"20503552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.106.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112199680\", alpha=\"0.10\", expect_size=\"44879872\"] \n  1 -> 20 [size =\"44879872\"]\n  1 -> 22 [size =\"44879872\"]\n  1 -> 23 [size =\"44879872\"]\n  1 -> 24 [size =\"44879872\"]\n  1 -> 26 [size =\"44879872\"]\n  1 -> 37 [size =\"44879872\"]\n  1 -> 40 [size =\"44879872\"]\n  1 -> 42 [size =\"44879872\"]\n  1 -> 47 [size =\"44879872\"]\n  2 [size=\"86952960\", alpha=\"0.05\", expect_size=\"34781184\"] \n  2 -> 29 [size =\"34781184\"]\n  2 -> 34 [size =\"34781184\"]\n  2 -> 35 [size =\"34781184\"]\n  2 -> 41 [size =\"34781184\"]\n  2 -> 44 [size =\"34781184\"]\n  2 -> 46 [size =\"34781184\"]\n  3 [size=\"114158080\", alpha=\"0.03\", expect_size=\"45663232\"] \n  3 -> 20 [size =\"45663232\"]\n  3 -> 29 [size =\"45663232\"]\n  3 -> 30 [size =\"45663232\"]\n  3 -> 32 [size =\"45663232\"]\n  3 -> 33 [size =\"45663232\"]\n  3 -> 34 [size =\"45663232\"]\n  3 -> 35 [size =\"45663232\"]\n  3 -> 38 [size =\"45663232\"]\n  3 -> 44 [size =\"45663232\"]\n  3 -> 47 [size =\"45663232\"]\n  3 -> 49 [size =\"45663232\"]\n  4 [size=\"119073280\", alpha=\"0.19\", expect_size=\"47629312\"] \n  4 -> 20 [size =\"47629312\"]\n  4 -> 22 [size =\"47629312\"]\n  4 -> 24 [size =\"47629312\"]\n  4 -> 26 [size =\"47629312\"]\n  4 -> 27 [size =\"47629312\"]\n  4 -> 28 [size =\"47629312\"]\n  4 -> 34 [size =\"47629312\"]\n  4 -> 35 [size =\"47629312\"]\n  4 -> 37 [size =\"47629312\"]\n  4 -> 40 [size =\"47629312\"]\n  4 -> 43 [size =\"47629312\"]\n  4 -> 44 [size =\"47629312\"]\n  4 -> 47 [size =\"47629312\"]\n  4 -> 48 [size =\"47629312\"]\n  5 [size=\"36326400\", alpha=\"0.06\", expect_size=\"14530560\"] \n  5 -> 20 [size =\"14530560\"]\n  5 -> 26 [size =\"14530560\"]\n  5 -> 28 [size =\"14530560\"]\n  5 -> 32 [size =\"14530560\"]\n  5 -> 40 [size =\"14530560\"]\n  5 -> 41 [size =\"14530560\"]\n  5 -> 44 [size =\"14530560\"]\n  5 -> 46 [size =\"14530560\"]\n  5 -> 48 [size =\"14530560\"]\n  6 [size=\"34967040\", alpha=\"0.06\", expect_size=\"13986816\"] \n  6 -> 20 [size =\"13986816\"]\n  6 -> 24 [size =\"13986816\"]\n  6 -> 28 [size =\"13986816\"]\n  6 -> 30 [size =\"13986816\"]\n  6 -> 40 [size =\"13986816\"]\n  6 -> 46 [size =\"13986816\"]\n  6 -> 48 [size =\"13986816\"]\n  6 -> 50 [size =\"13986816\"]\n  7 [size=\"16665600\", alpha=\"0.01\", expect_size=\"6666240\"] \n  7 -> 21 [size =\"6666240\"]\n  7 -> 22 [size =\"6666240\"]\n  7 -> 24 [size =\"6666240\"]\n  7 -> 29 [size =\"6666240\"]\n  7 -> 32 [size =\"6666240\"]\n  7 -> 33 [size =\"6666240\"]\n  7 -> 34 [size =\"6666240\"]\n  7 -> 40 [size =\"6666240\"]\n  7 -> 41 [size =\"6666240\"]\n  7 -> 42 [size =\"6666240\"]\n  7 -> 44 [size =\"6666240\"]\n  7 -> 46 [size =\"6666240\"]\n  7 -> 47 [size =\"6666240\"]\n  8 [size=\"87406080\", alpha=\"0.19\", expect_size=\"34962432\"] \n  8 -> 21 [size =\"34962432\"]\n  8 -> 22 [size =\"34962432\"]\n  8 -> 25 [size =\"34962432\"]\n  8 -> 28 [size =\"34962432\"]\n  8 -> 29 [size =\"34962432\"]\n  8 -> 34 [size =\"34962432\"]\n  8 -> 40 [size =\"34962432\"]\n  8 -> 42 [size =\"34962432\"]\n  8 -> 44 [size =\"34962432\"]\n  8 -> 46 [size =\"34962432\"]\n  8 -> 47 [size =\"34962432\"]\n  8 -> 49 [size =\"34962432\"]\n  9 [size=\"67205120\", alpha=\"0.01\", expect_size=\"26882048\"] \n  9 -> 20 [size =\"26882048\"]\n  9 -> 22 [size =\"26882048\"]\n  9 -> 29 [size =\"26882048\"]\n  9 -> 30 [size =\"26882048\"]\n  9 -> 34 [size =\"26882048\"]\n  9 -> 34 [size =\"26882048\"]\n  9 -> 39 [size =\"26882048\"]\n  9 -> 44 [size =\"26882048\"]\n  9 -> 46 [size =\"26882048\"]\n  9 -> 46 [size =\"26882048\"]\n  10 [size=\"46056960\", alpha=\"0.03\", expect_size=\"18422784\"] \n  10 -> 20 [size =\"18422784\"]\n  10 -> 23 [size =\"18422784\"]\n  10 -> 34 [size =\"18422784\"]\n  10 -> 40 [size =\"18422784\"]\n  10 -> 45 [size =\"18422784\"]\n  10 -> 46 [size =\"18422784\"]\n  10 -> 50 [size =\"18422784\"]\n  11 [size=\"113704960\", alpha=\"0.13\", expect_size=\"45481984\"] \n  11 -> 20 [size =\"45481984\"]\n  11 -> 23 [size =\"45481984\"]\n  11 -> 31 [size =\"45481984\"]\n  11 -> 32 [size =\"45481984\"]\n  11 -> 36 [size =\"45481984\"]\n  11 -> 38 [size =\"45481984\"]\n  11 -> 40 [size =\"45481984\"]\n  11 -> 42 [size =\"45481984\"]\n  11 -> 44 [size =\"45481984\"]\n  11 -> 46 [size =\"45481984\"]\n  11 -> 48 [size =\"45481984\"]\n  11 -> 49 [size =\"45481984\"]\n  12 [size=\"55096320\", alpha=\"0.11\", expect_size=\"22038528\"] \n  12 -> 22 [size =\"22038528\"]\n  12 -> 23 [size =\"22038528\"]\n  12 -> 26 [size =\"22038528\"]\n  12 -> 32 [size =\"22038528\"]\n  12 -> 41 [size =\"22038528\"]\n  12 -> 42 [size =\"22038528\"]\n  12 -> 43 [size =\"22038528\"]\n  12 -> 44 [size =\"22038528\"]\n  12 -> 44 [size =\"22038528\"]\n  12 -> 48 [size =\"22038528\"]\n  12 -> 50 [size =\"22038528\"]\n  13 [size=\"86996480\", alpha=\"0.07\", expect_size=\"34798592\"] \n  13 -> 22 [size =\"34798592\"]\n  13 -> 33 [size =\"34798592\"]\n  13 -> 34 [size =\"34798592\"]\n  14 [size=\"104593920\", alpha=\"0.01\", expect_size=\"41837568\"] \n  14 -> 22 [size =\"41837568\"]\n  14 -> 23 [size =\"41837568\"]\n  14 -> 24 [size =\"41837568\"]\n  14 -> 33 [size =\"41837568\"]\n  14 -> 35 [size =\"41837568\"]\n  14 -> 37 [size =\"41837568\"]\n  14 -> 41 [size =\"41837568\"]\n  14 -> 42 [size =\"41837568\"]\n  14 -> 46 [size =\"41837568\"]\n  14 -> 48 [size =\"41837568\"]\n  15 [size=\"96647680\", alpha=\"0.07\", expect_size=\"38659072\"] \n  15 -> 21 [size =\"38659072\"]\n  15 -> 22 [size =\"38659072\"]\n  15 -> 23 [size =\"38659072\"]\n  15 -> 33 [size =\"38659072\"]\n  15 -> 35 [size =\"38659072\"]\n  15 -> 40 [size =\"38659072\"]\n  15 -> 44 [size =\"38659072\"]\n  15 -> 47 [size =\"38659072\"]\n  15 -> 48 [size =\"38659072\"]\n  16 [size=\"16166400\", alpha=\"0.00\", expect_size=\"6466560\"] \n  16 -> 29 [size =\"6466560\"]\n  16 -> 30 [size =\"6466560\"]\n  16 -> 32 [size =\"6466560\"]\n  16 -> 35 [size =\"6466560\"]\n  16 -> 35 [size =\"6466560\"]\n  16 -> 39 [size =\"6466560\"]\n  16 -> 40 [size =\"6466560\"]\n  16 -> 47 [size =\"6466560\"]\n  16 -> 48 [size =\"6466560\"]\n  17 [size=\"51896320\", alpha=\"0.16\", expect_size=\"20758528\"] \n  17 -> 22 [size =\"20758528\"]\n  17 -> 27 [size =\"20758528\"]\n  17 -> 30 [size =\"20758528\"]\n  17 -> 32 [size =\"20758528\"]\n  17 -> 34 [size =\"20758528\"]\n  17 -> 35 [size =\"20758528\"]\n  17 -> 42 [size =\"20758528\"]\n  17 -> 46 [size =\"20758528\"]\n  17 -> 47 [size =\"20758528\"]\n  17 -> 48 [size =\"20758528\"]\n  17 -> 49 [size =\"20758528\"]\n  18 [size=\"56709120\", alpha=\"0.13\", expect_size=\"22683648\"] \n  18 -> 22 [size =\"22683648\"]\n  18 -> 23 [size =\"22683648\"]\n  18 -> 27 [size =\"22683648\"]\n  18 -> 28 [size =\"22683648\"]\n  18 -> 32 [size =\"22683648\"]\n  18 -> 34 [size =\"22683648\"]\n  18 -> 35 [size =\"22683648\"]\n  18 -> 41 [size =\"22683648\"]\n  18 -> 43 [size =\"22683648\"]\n  18 -> 44 [size =\"22683648\"]\n  18 -> 47 [size =\"22683648\"]\n  19 [size=\"49413120\", alpha=\"0.15\", expect_size=\"19765248\"] \n  19 -> 22 [size =\"19765248\"]\n  19 -> 23 [size =\"19765248\"]\n  19 -> 26 [size =\"19765248\"]\n  19 -> 29 [size =\"19765248\"]\n  19 -> 32 [size =\"19765248\"]\n  19 -> 41 [size =\"19765248\"]\n  19 -> 42 [size =\"19765248\"]\n  20 [size=\"56750080\", alpha=\"0.12\", expect_size=\"22700032\"] \n  21 [size=\"76364800\", alpha=\"0.05\", expect_size=\"30545920\"] \n  22 [size=\"37465600\", alpha=\"0.11\", expect_size=\"14986240\"] \n  23 [size=\"103900160\", alpha=\"0.14\", expect_size=\"41560064\"] \n  24 [size=\"27545600\", alpha=\"0.15\", expect_size=\"11018240\"] \n  25 [size=\"33031680\", alpha=\"0.00\", expect_size=\"13212672\"] \n  26 [size=\"72181760\", alpha=\"0.09\", expect_size=\"28872704\"] \n  27 [size=\"73123840\", alpha=\"0.18\", expect_size=\"29249536\"] \n  28 [size=\"49390080\", alpha=\"0.20\", expect_size=\"19756032\"] \n  29 [size=\"126753280\", alpha=\"0.11\", expect_size=\"50701312\"] \n  30 [size=\"98995200\", alpha=\"0.07\", expect_size=\"39598080\"] \n  31 [size=\"51010560\", alpha=\"0.01\", expect_size=\"20404224\"] \n  32 [size=\"81896960\", alpha=\"0.02\", expect_size=\"32758784\"] \n  33 [size=\"29568000\", alpha=\"0.15\", expect_size=\"11827200\"] \n  34 [size=\"113039360\", alpha=\"0.04\", expect_size=\"45215744\"] \n  35 [size=\"84387840\", alpha=\"0.07\", expect_size=\"33755136\"] \n  36 [size=\"84794880\", alpha=\"0.10\", expect_size=\"33917952\"] \n  37 [size=\"18160640\", alpha=\"0.00\", expect_size=\"7264256\"] \n  38 [size=\"123973120\", alpha=\"0.18\", expect_size=\"49589248\"] \n  39 [size=\"122636800\", alpha=\"0.01\", expect_size=\"49054720\"] \n  40 [size=\"68249600\", alpha=\"0.12\", expect_size=\"27299840\"] \n  41 [size=\"111731200\", alpha=\"0.14\", expect_size=\"44692480\"] \n  42 [size=\"117749760\", alpha=\"0.00\", expect_size=\"47099904\"] \n  43 [size=\"128294400\", alpha=\"0.01\", expect_size=\"51317760\"] \n  44 [size=\"99292160\", alpha=\"0.05\", expect_size=\"39716864\"] \n  45 [size=\"122232320\", alpha=\"0.12\", expect_size=\"48892928\"] \n  46 [size=\"44725760\", alpha=\"0.09\", expect_size=\"17890304\"] \n  47 [size=\"105761280\", alpha=\"0.17\", expect_size=\"42304512\"] \n  48 [size=\"108203520\", alpha=\"0.10\", expect_size=\"43281408\"] \n  49 [size=\"95649280\", alpha=\"0.03\", expect_size=\"38259712\"] \n  50 [size=\"104409600\", alpha=\"0.10\", expect_size=\"41763840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.107.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80680960\", alpha=\"0.09\", expect_size=\"32272384\"] \n  1 -> 2 [size =\"32272384\"]\n  2 [size=\"74967040\", alpha=\"0.05\", expect_size=\"29986816\"] \n  2 -> 3 [size =\"29986816\"]\n  3 [size=\"63457280\", alpha=\"0.15\", expect_size=\"25382912\"] \n  3 -> 4 [size =\"25382912\"]\n  4 [size=\"34360320\", alpha=\"0.06\", expect_size=\"13744128\"] \n  4 -> 5 [size =\"13744128\"]\n  5 [size=\"43138560\", alpha=\"0.16\", expect_size=\"17255424\"] \n  5 -> 6 [size =\"17255424\"]\n  6 [size=\"68928000\", alpha=\"0.07\", expect_size=\"27571200\"] \n  6 -> 7 [size =\"27571200\"]\n  7 [size=\"49262080\", alpha=\"0.08\", expect_size=\"19704832\"] \n  7 -> 8 [size =\"19704832\"]\n  8 [size=\"24665600\", alpha=\"0.13\", expect_size=\"9866240\"] \n  8 -> 9 [size =\"9866240\"]\n  9 [size=\"117475840\", alpha=\"0.02\", expect_size=\"46990336\"] \n  9 -> 10 [size =\"46990336\"]\n  10 [size=\"57274880\", alpha=\"0.04\", expect_size=\"22909952\"] \n  10 -> 11 [size =\"22909952\"]\n  11 [size=\"63150080\", alpha=\"0.01\", expect_size=\"25260032\"] \n  11 -> 12 [size =\"25260032\"]\n  12 [size=\"115747840\", alpha=\"0.05\", expect_size=\"46299136\"] \n  12 -> 13 [size =\"46299136\"]\n  13 [size=\"28211200\", alpha=\"0.06\", expect_size=\"11284480\"] \n  13 -> 14 [size =\"11284480\"]\n  14 [size=\"116992000\", alpha=\"0.05\", expect_size=\"46796800\"] \n  14 -> 15 [size =\"46796800\"]\n  15 [size=\"35202560\", alpha=\"0.01\", expect_size=\"14081024\"] \n  15 -> 16 [size =\"14081024\"]\n  16 [size=\"130122240\", alpha=\"0.01\", expect_size=\"52048896\"] \n  16 -> 17 [size =\"52048896\"]\n  17 [size=\"55656960\", alpha=\"0.01\", expect_size=\"22262784\"] \n  17 -> 18 [size =\"22262784\"]\n  18 [size=\"102714880\", alpha=\"0.16\", expect_size=\"41085952\"] \n  18 -> 19 [size =\"41085952\"]\n  19 [size=\"61388800\", alpha=\"0.05\", expect_size=\"24555520\"] \n  19 -> 20 [size =\"24555520\"]\n  20 [size=\"70725120\", alpha=\"0.04\", expect_size=\"28290048\"] \n  20 -> 21 [size =\"28290048\"]\n  21 [size=\"96839680\", alpha=\"0.14\", expect_size=\"38735872\"] \n  21 -> 22 [size =\"38735872\"]\n  22 [size=\"101314560\", alpha=\"0.15\", expect_size=\"40525824\"] \n  22 -> 23 [size =\"40525824\"]\n  23 [size=\"128048640\", alpha=\"0.04\", expect_size=\"51219456\"] \n  23 -> 24 [size =\"51219456\"]\n  24 [size=\"44805120\", alpha=\"0.17\", expect_size=\"17922048\"] \n  24 -> 25 [size =\"17922048\"]\n  25 [size=\"76797440\", alpha=\"0.14\", expect_size=\"30718976\"] \n  25 -> 26 [size =\"30718976\"]\n  26 [size=\"83678720\", alpha=\"0.02\", expect_size=\"33471488\"] \n  26 -> 27 [size =\"33471488\"]\n  27 [size=\"87088640\", alpha=\"0.15\", expect_size=\"34835456\"] \n  27 -> 28 [size =\"34835456\"]\n  28 [size=\"92477440\", alpha=\"0.11\", expect_size=\"36990976\"] \n  28 -> 29 [size =\"36990976\"]\n  29 [size=\"66490880\", alpha=\"0.04\", expect_size=\"26596352\"] \n  29 -> 30 [size =\"26596352\"]\n  30 [size=\"98398720\", alpha=\"0.04\", expect_size=\"39359488\"] \n  30 -> 31 [size =\"39359488\"]\n  31 [size=\"122344960\", alpha=\"0.13\", expect_size=\"48937984\"] \n  31 -> 32 [size =\"48937984\"]\n  32 [size=\"87938560\", alpha=\"0.20\", expect_size=\"35175424\"] \n  32 -> 33 [size =\"35175424\"]\n  33 [size=\"57041920\", alpha=\"0.09\", expect_size=\"22816768\"] \n  33 -> 34 [size =\"22816768\"]\n  34 [size=\"80005120\", alpha=\"0.15\", expect_size=\"32002048\"] \n  34 -> 35 [size =\"32002048\"]\n  35 [size=\"60119040\", alpha=\"0.06\", expect_size=\"24047616\"] \n  35 -> 36 [size =\"24047616\"]\n  36 [size=\"27417600\", alpha=\"0.16\", expect_size=\"10967040\"] \n  36 -> 37 [size =\"10967040\"]\n  37 [size=\"37719040\", alpha=\"0.13\", expect_size=\"15087616\"] \n  37 -> 38 [size =\"15087616\"]\n  38 [size=\"127178240\", alpha=\"0.06\", expect_size=\"50871296\"] \n  38 -> 39 [size =\"50871296\"]\n  39 [size=\"71431680\", alpha=\"0.07\", expect_size=\"28572672\"] \n  39 -> 40 [size =\"28572672\"]\n  40 [size=\"92812800\", alpha=\"0.17\", expect_size=\"37125120\"] \n  40 -> 41 [size =\"37125120\"]\n  41 [size=\"117521920\", alpha=\"0.02\", expect_size=\"47008768\"] \n  41 -> 42 [size =\"47008768\"]\n  42 [size=\"77639680\", alpha=\"0.02\", expect_size=\"31055872\"] \n  42 -> 43 [size =\"31055872\"]\n  43 [size=\"75809280\", alpha=\"0.01\", expect_size=\"30323712\"] \n  43 -> 44 [size =\"30323712\"]\n  44 [size=\"127134720\", alpha=\"0.06\", expect_size=\"50853888\"] \n  44 -> 45 [size =\"50853888\"]\n  45 [size=\"99576320\", alpha=\"0.01\", expect_size=\"39830528\"] \n  45 -> 46 [size =\"39830528\"]\n  46 [size=\"15229440\", alpha=\"0.08\", expect_size=\"6091776\"] \n  46 -> 47 [size =\"6091776\"]\n  47 [size=\"109073920\", alpha=\"0.08\", expect_size=\"43629568\"] \n  47 -> 48 [size =\"43629568\"]\n  48 [size=\"69767680\", alpha=\"0.02\", expect_size=\"27907072\"] \n  48 -> 49 [size =\"27907072\"]\n  49 [size=\"104885760\", alpha=\"0.04\", expect_size=\"41954304\"] \n  49 -> 50 [size =\"41954304\"]\n  50 [size=\"26782720\", alpha=\"0.01\", expect_size=\"10713088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.108.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18259968\", alpha=\"0.14\", expect_size=\"9129984\"] \n  1 -> 11 [size =\"9129984\"]\n  2 [size=\"62437376\", alpha=\"0.03\", expect_size=\"31218688\"] \n  2 -> 10 [size =\"31218688\"]\n  2 -> 11 [size =\"31218688\"]\n  3 [size=\"26423296\", alpha=\"0.01\", expect_size=\"13211648\"] \n  3 -> 11 [size =\"13211648\"]\n  4 [size=\"81192960\", alpha=\"0.09\", expect_size=\"40596480\"] \n  4 -> 8 [size =\"40596480\"]\n  4 -> 10 [size =\"40596480\"]\n  4 -> 12 [size =\"40596480\"]\n  4 -> 13 [size =\"40596480\"]\n  5 [size=\"88629248\", alpha=\"0.17\", expect_size=\"44314624\"] \n  5 -> 9 [size =\"44314624\"]\n  5 -> 13 [size =\"44314624\"]\n  6 [size=\"69435392\", alpha=\"0.07\", expect_size=\"34717696\"] \n  6 -> 10 [size =\"34717696\"]\n  6 -> 11 [size =\"34717696\"]\n  6 -> 12 [size =\"34717696\"]\n  6 -> 13 [size =\"34717696\"]\n  7 [size=\"86958080\", alpha=\"0.09\", expect_size=\"43479040\"] \n  7 -> 10 [size =\"43479040\"]\n  8 [size=\"62414848\", alpha=\"0.20\", expect_size=\"31207424\"] \n  8 -> 16 [size =\"31207424\"]\n  8 -> 18 [size =\"31207424\"]\n  8 -> 19 [size =\"31207424\"]\n  9 [size=\"84056064\", alpha=\"0.06\", expect_size=\"42028032\"] \n  9 -> 14 [size =\"42028032\"]\n  9 -> 18 [size =\"42028032\"]\n  10 [size=\"59863040\", alpha=\"0.02\", expect_size=\"29931520\"] \n  10 -> 15 [size =\"29931520\"]\n  10 -> 17 [size =\"29931520\"]\n  10 -> 18 [size =\"29931520\"]\n  11 [size=\"102883328\", alpha=\"0.15\", expect_size=\"51441664\"] \n  11 -> 14 [size =\"51441664\"]\n  11 -> 15 [size =\"51441664\"]\n  12 [size=\"73963520\", alpha=\"0.01\", expect_size=\"36981760\"] \n  12 -> 14 [size =\"36981760\"]\n  12 -> 19 [size =\"36981760\"]\n  13 [size=\"87900160\", alpha=\"0.14\", expect_size=\"43950080\"] \n  13 -> 16 [size =\"43950080\"]\n  13 -> 19 [size =\"43950080\"]\n  14 [size=\"92983296\", alpha=\"0.13\", expect_size=\"46491648\"] \n  14 -> 20 [size =\"46491648\"]\n  14 -> 24 [size =\"46491648\"]\n  14 -> 25 [size =\"46491648\"]\n  15 [size=\"42205184\", alpha=\"0.13\", expect_size=\"21102592\"] \n  15 -> 22 [size =\"21102592\"]\n  15 -> 25 [size =\"21102592\"]\n  16 [size=\"29575168\", alpha=\"0.19\", expect_size=\"14787584\"] \n  16 -> 23 [size =\"14787584\"]\n  16 -> 24 [size =\"14787584\"]\n  17 [size=\"64714752\", alpha=\"0.17\", expect_size=\"32357376\"] \n  17 -> 20 [size =\"32357376\"]\n  17 -> 21 [size =\"32357376\"]\n  17 -> 22 [size =\"32357376\"]\n  18 [size=\"13049856\", alpha=\"0.04\", expect_size=\"6524928\"] \n  18 -> 20 [size =\"6524928\"]\n  18 -> 21 [size =\"6524928\"]\n  18 -> 22 [size =\"6524928\"]\n  19 [size=\"12472320\", alpha=\"0.11\", expect_size=\"6236160\"] \n  19 -> 20 [size =\"6236160\"]\n  19 -> 22 [size =\"6236160\"]\n  19 -> 23 [size =\"6236160\"]\n  20 [size=\"39141376\", alpha=\"0.08\", expect_size=\"19570688\"] \n  20 -> 26 [size =\"19570688\"]\n  20 -> 28 [size =\"19570688\"]\n  20 -> 30 [size =\"19570688\"]\n  20 -> 31 [size =\"19570688\"]\n  21 [size=\"50900992\", alpha=\"0.07\", expect_size=\"25450496\"] \n  21 -> 27 [size =\"25450496\"]\n  21 -> 30 [size =\"25450496\"]\n  21 -> 31 [size =\"25450496\"]\n  21 -> 31 [size =\"25450496\"]\n  21 -> 32 [size =\"25450496\"]\n  22 [size=\"28129280\", alpha=\"0.18\", expect_size=\"14064640\"] \n  22 -> 27 [size =\"14064640\"]\n  22 -> 32 [size =\"14064640\"]\n  23 [size=\"34211840\", alpha=\"0.11\", expect_size=\"17105920\"] \n  24 [size=\"99917824\", alpha=\"0.20\", expect_size=\"49958912\"] \n  24 -> 26 [size =\"49958912\"]\n  24 -> 29 [size =\"49958912\"]\n  24 -> 30 [size =\"49958912\"]\n  25 [size=\"67307520\", alpha=\"0.05\", expect_size=\"33653760\"] \n  25 -> 26 [size =\"33653760\"]\n  25 -> 28 [size =\"33653760\"]\n  25 -> 30 [size =\"33653760\"]\n  25 -> 31 [size =\"33653760\"]\n  26 [size=\"36450304\", alpha=\"0.02\", expect_size=\"18225152\"] \n  27 [size=\"32772096\", alpha=\"0.16\", expect_size=\"16386048\"] \n  27 -> 33 [size =\"16386048\"]\n  27 -> 34 [size =\"16386048\"]\n  28 [size=\"20183040\", alpha=\"0.01\", expect_size=\"10091520\"] \n  28 -> 33 [size =\"10091520\"]\n  28 -> 35 [size =\"10091520\"]\n  28 -> 37 [size =\"10091520\"]\n  29 [size=\"36816896\", alpha=\"0.01\", expect_size=\"18408448\"] \n  30 [size=\"87701504\", alpha=\"0.12\", expect_size=\"43850752\"] \n  31 [size=\"32458752\", alpha=\"0.03\", expect_size=\"16229376\"] \n  31 -> 33 [size =\"16229376\"]\n  31 -> 35 [size =\"16229376\"]\n  31 -> 39 [size =\"16229376\"]\n  32 [size=\"67604480\", alpha=\"0.07\", expect_size=\"33802240\"] \n  32 -> 36 [size =\"33802240\"]\n  32 -> 38 [size =\"33802240\"]\n  32 -> 39 [size =\"33802240\"]\n  33 [size=\"56348672\", alpha=\"0.07\", expect_size=\"28174336\"] \n  33 -> 40 [size =\"28174336\"]\n  33 -> 41 [size =\"28174336\"]\n  33 -> 42 [size =\"28174336\"]\n  33 -> 44 [size =\"28174336\"]\n  33 -> 45 [size =\"28174336\"]\n  34 [size=\"14628864\", alpha=\"0.05\", expect_size=\"7314432\"] \n  34 -> 40 [size =\"7314432\"]\n  34 -> 41 [size =\"7314432\"]\n  34 -> 42 [size =\"7314432\"]\n  34 -> 44 [size =\"7314432\"]\n  35 [size=\"13156352\", alpha=\"0.09\", expect_size=\"6578176\"] \n  35 -> 40 [size =\"6578176\"]\n  35 -> 42 [size =\"6578176\"]\n  35 -> 43 [size =\"6578176\"]\n  35 -> 45 [size =\"6578176\"]\n  35 -> 46 [size =\"6578176\"]\n  36 [size=\"35702784\", alpha=\"0.18\", expect_size=\"17851392\"] \n  36 -> 40 [size =\"17851392\"]\n  36 -> 42 [size =\"17851392\"]\n  36 -> 43 [size =\"17851392\"]\n  36 -> 45 [size =\"17851392\"]\n  37 [size=\"46845952\", alpha=\"0.18\", expect_size=\"23422976\"] \n  37 -> 41 [size =\"23422976\"]\n  37 -> 43 [size =\"23422976\"]\n  37 -> 44 [size =\"23422976\"]\n  38 [size=\"28688384\", alpha=\"0.18\", expect_size=\"14344192\"] \n  38 -> 44 [size =\"14344192\"]\n  38 -> 46 [size =\"14344192\"]\n  39 [size=\"33159168\", alpha=\"0.19\", expect_size=\"16579584\"] \n  39 -> 41 [size =\"16579584\"]\n  39 -> 43 [size =\"16579584\"]\n  39 -> 44 [size =\"16579584\"]\n  39 -> 45 [size =\"16579584\"]\n  40 [size=\"39456768\", alpha=\"0.06\", expect_size=\"19728384\"] \n  40 -> 47 [size =\"19728384\"]\n  40 -> 48 [size =\"19728384\"]\n  41 [size=\"96962560\", alpha=\"0.02\", expect_size=\"48481280\"] \n  41 -> 48 [size =\"48481280\"]\n  41 -> 50 [size =\"48481280\"]\n  42 [size=\"14958592\", alpha=\"0.01\", expect_size=\"7479296\"] \n  43 [size=\"45668352\", alpha=\"0.06\", expect_size=\"22834176\"] \n  44 [size=\"77762560\", alpha=\"0.09\", expect_size=\"38881280\"] \n  44 -> 48 [size =\"38881280\"]\n  44 -> 49 [size =\"38881280\"]\n  45 [size=\"99368960\", alpha=\"0.05\", expect_size=\"49684480\"] \n  45 -> 48 [size =\"49684480\"]\n  46 [size=\"47833088\", alpha=\"0.05\", expect_size=\"23916544\"] \n  46 -> 48 [size =\"23916544\"]\n  47 [size=\"36618240\", alpha=\"0.11\", expect_size=\"18309120\"] \n  48 [size=\"25583616\", alpha=\"0.19\", expect_size=\"12791808\"] \n  49 [size=\"17291264\", alpha=\"0.12\", expect_size=\"8645632\"] \n  50 [size=\"13729792\", alpha=\"0.02\", expect_size=\"6864896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.109.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41799680\", alpha=\"0.02\", expect_size=\"12539904\"] \n  1 -> 43 [size =\"12539904\"]\n  1 -> 45 [size =\"12539904\"]\n  1 -> 46 [size =\"12539904\"]\n  1 -> 48 [size =\"12539904\"]\n  2 [size=\"88186880\", alpha=\"0.01\", expect_size=\"26456064\"] \n  2 -> 42 [size =\"26456064\"]\n  2 -> 43 [size =\"26456064\"]\n  2 -> 46 [size =\"26456064\"]\n  2 -> 48 [size =\"26456064\"]\n  3 [size=\"47066453\", alpha=\"0.04\", expect_size=\"14119936\"] \n  3 -> 43 [size =\"14119936\"]\n  3 -> 46 [size =\"14119936\"]\n  3 -> 48 [size =\"14119936\"]\n  3 -> 49 [size =\"14119936\"]\n  3 -> 50 [size =\"14119936\"]\n  4 [size=\"75386880\", alpha=\"0.05\", expect_size=\"22616064\"] \n  4 -> 43 [size =\"22616064\"]\n  4 -> 46 [size =\"22616064\"]\n  4 -> 47 [size =\"22616064\"]\n  4 -> 50 [size =\"22616064\"]\n  4 -> 50 [size =\"22616064\"]\n  5 [size=\"40273920\", alpha=\"0.18\", expect_size=\"12082176\"] \n  5 -> 43 [size =\"12082176\"]\n  5 -> 46 [size =\"12082176\"]\n  5 -> 48 [size =\"12082176\"]\n  5 -> 49 [size =\"12082176\"]\n  6 [size=\"59845973\", alpha=\"0.15\", expect_size=\"17953792\"] \n  6 -> 43 [size =\"17953792\"]\n  6 -> 46 [size =\"17953792\"]\n  6 -> 47 [size =\"17953792\"]\n  6 -> 49 [size =\"17953792\"]\n  7 [size=\"168908800\", alpha=\"0.15\", expect_size=\"50672640\"] \n  7 -> 43 [size =\"50672640\"]\n  7 -> 46 [size =\"50672640\"]\n  7 -> 50 [size =\"50672640\"]\n  8 [size=\"73311573\", alpha=\"0.16\", expect_size=\"21993472\"] \n  8 -> 45 [size =\"21993472\"]\n  8 -> 46 [size =\"21993472\"]\n  8 -> 48 [size =\"21993472\"]\n  9 [size=\"130027520\", alpha=\"0.02\", expect_size=\"39008256\"] \n  9 -> 43 [size =\"39008256\"]\n  9 -> 46 [size =\"39008256\"]\n  9 -> 50 [size =\"39008256\"]\n  10 [size=\"121388373\", alpha=\"0.17\", expect_size=\"36416512\"] \n  10 -> 42 [size =\"36416512\"]\n  11 [size=\"50889387\", alpha=\"0.16\", expect_size=\"15266816\"] \n  11 -> 43 [size =\"15266816\"]\n  11 -> 46 [size =\"15266816\"]\n  11 -> 50 [size =\"15266816\"]\n  12 [size=\"67730773\", alpha=\"0.17\", expect_size=\"20319232\"] \n  12 -> 46 [size =\"20319232\"]\n  12 -> 47 [size =\"20319232\"]\n  12 -> 48 [size =\"20319232\"]\n  13 [size=\"74045440\", alpha=\"0.03\", expect_size=\"22213632\"] \n  13 -> 43 [size =\"22213632\"]\n  13 -> 49 [size =\"22213632\"]\n  14 [size=\"106349227\", alpha=\"0.05\", expect_size=\"31904768\"] \n  14 -> 46 [size =\"31904768\"]\n  14 -> 50 [size =\"31904768\"]\n  15 [size=\"144472747\", alpha=\"0.16\", expect_size=\"43341824\"] \n  15 -> 46 [size =\"43341824\"]\n  15 -> 47 [size =\"43341824\"]\n  15 -> 50 [size =\"43341824\"]\n  16 [size=\"129720320\", alpha=\"0.12\", expect_size=\"38916096\"] \n  16 -> 43 [size =\"38916096\"]\n  16 -> 44 [size =\"38916096\"]\n  16 -> 45 [size =\"38916096\"]\n  16 -> 47 [size =\"38916096\"]\n  16 -> 50 [size =\"38916096\"]\n  17 [size=\"93904213\", alpha=\"0.14\", expect_size=\"28171264\"] \n  17 -> 43 [size =\"28171264\"]\n  17 -> 46 [size =\"28171264\"]\n  17 -> 49 [size =\"28171264\"]\n  17 -> 50 [size =\"28171264\"]\n  18 [size=\"55442773\", alpha=\"0.09\", expect_size=\"16632832\"] \n  18 -> 43 [size =\"16632832\"]\n  18 -> 46 [size =\"16632832\"]\n  18 -> 47 [size =\"16632832\"]\n  19 [size=\"25719467\", alpha=\"0.14\", expect_size=\"7715840\"] \n  19 -> 42 [size =\"7715840\"]\n  19 -> 43 [size =\"7715840\"]\n  19 -> 46 [size =\"7715840\"]\n  19 -> 47 [size =\"7715840\"]\n  19 -> 50 [size =\"7715840\"]\n  20 [size=\"43540480\", alpha=\"0.05\", expect_size=\"13062144\"] \n  20 -> 42 [size =\"13062144\"]\n  20 -> 46 [size =\"13062144\"]\n  21 [size=\"22493867\", alpha=\"0.18\", expect_size=\"6748160\"] \n  21 -> 43 [size =\"6748160\"]\n  21 -> 50 [size =\"6748160\"]\n  22 [size=\"146578773\", alpha=\"0.01\", expect_size=\"43973632\"] \n  22 -> 43 [size =\"43973632\"]\n  22 -> 48 [size =\"43973632\"]\n  22 -> 49 [size =\"43973632\"]\n  23 [size=\"122299733\", alpha=\"0.07\", expect_size=\"36689920\"] \n  23 -> 45 [size =\"36689920\"]\n  23 -> 46 [size =\"36689920\"]\n  23 -> 50 [size =\"36689920\"]\n  24 [size=\"144380587\", alpha=\"0.00\", expect_size=\"43314176\"] \n  24 -> 46 [size =\"43314176\"]\n  24 -> 50 [size =\"43314176\"]\n  25 [size=\"24630613\", alpha=\"0.17\", expect_size=\"7389184\"] \n  25 -> 43 [size =\"7389184\"]\n  26 [size=\"146978133\", alpha=\"0.19\", expect_size=\"44093440\"] \n  26 -> 43 [size =\"44093440\"]\n  26 -> 48 [size =\"44093440\"]\n  27 [size=\"85442560\", alpha=\"0.20\", expect_size=\"25632768\"] \n  27 -> 47 [size =\"25632768\"]\n  27 -> 48 [size =\"25632768\"]\n  27 -> 49 [size =\"25632768\"]\n  28 [size=\"41386667\", alpha=\"0.08\", expect_size=\"12416000\"] \n  28 -> 42 [size =\"12416000\"]\n  29 [size=\"111957333\", alpha=\"0.11\", expect_size=\"33587200\"] \n  29 -> 48 [size =\"33587200\"]\n  29 -> 50 [size =\"33587200\"]\n  30 [size=\"68539733\", alpha=\"0.06\", expect_size=\"20561920\"] \n  30 -> 43 [size =\"20561920\"]\n  30 -> 45 [size =\"20561920\"]\n  30 -> 50 [size =\"20561920\"]\n  31 [size=\"106444800\", alpha=\"0.06\", expect_size=\"31933440\"] \n  31 -> 47 [size =\"31933440\"]\n  32 [size=\"92709547\", alpha=\"0.13\", expect_size=\"27812864\"] \n  32 -> 46 [size =\"27812864\"]\n  32 -> 47 [size =\"27812864\"]\n  33 [size=\"98048000\", alpha=\"0.06\", expect_size=\"29414400\"] \n  33 -> 46 [size =\"29414400\"]\n  33 -> 47 [size =\"29414400\"]\n  33 -> 49 [size =\"29414400\"]\n  34 [size=\"152050347\", alpha=\"0.11\", expect_size=\"45615104\"] \n  34 -> 43 [size =\"45615104\"]\n  34 -> 47 [size =\"45615104\"]\n  34 -> 49 [size =\"45615104\"]\n  35 [size=\"155340800\", alpha=\"0.12\", expect_size=\"46602240\"] \n  35 -> 47 [size =\"46602240\"]\n  36 [size=\"130723840\", alpha=\"0.07\", expect_size=\"39217152\"] \n  36 -> 43 [size =\"39217152\"]\n  36 -> 46 [size =\"39217152\"]\n  36 -> 47 [size =\"39217152\"]\n  36 -> 50 [size =\"39217152\"]\n  37 [size=\"120565760\", alpha=\"0.12\", expect_size=\"36169728\"] \n  37 -> 43 [size =\"36169728\"]\n  38 [size=\"119019520\", alpha=\"0.02\", expect_size=\"35705856\"] \n  38 -> 46 [size =\"35705856\"]\n  38 -> 50 [size =\"35705856\"]\n  39 [size=\"24634027\", alpha=\"0.13\", expect_size=\"7390208\"] \n  39 -> 43 [size =\"7390208\"]\n  39 -> 46 [size =\"7390208\"]\n  39 -> 48 [size =\"7390208\"]\n  39 -> 50 [size =\"7390208\"]\n  40 [size=\"107246933\", alpha=\"0.07\", expect_size=\"32174080\"] \n  40 -> 47 [size =\"32174080\"]\n  40 -> 50 [size =\"32174080\"]\n  41 [size=\"156204373\", alpha=\"0.02\", expect_size=\"46861312\"] \n  41 -> 42 [size =\"46861312\"]\n  41 -> 46 [size =\"46861312\"]\n  41 -> 47 [size =\"46861312\"]\n  41 -> 49 [size =\"46861312\"]\n  41 -> 50 [size =\"46861312\"]\n  42 [size=\"47629653\", alpha=\"0.13\", expect_size=\"14288896\"] \n  43 [size=\"146350080\", alpha=\"0.18\", expect_size=\"43905024\"] \n  44 [size=\"37082453\", alpha=\"0.18\", expect_size=\"11124736\"] \n  45 [size=\"123262293\", alpha=\"0.00\", expect_size=\"36978688\"] \n  46 [size=\"60040533\", alpha=\"0.18\", expect_size=\"18012160\"] \n  47 [size=\"116944213\", alpha=\"0.05\", expect_size=\"35083264\"] \n  48 [size=\"55831893\", alpha=\"0.15\", expect_size=\"16749568\"] \n  49 [size=\"71956480\", alpha=\"0.16\", expect_size=\"21586944\"] \n  50 [size=\"173564587\", alpha=\"0.05\", expect_size=\"52069376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154528427\", alpha=\"0.18\", expect_size=\"46358528\"] \n  1 -> 5 [size =\"46358528\"]\n  1 -> 6 [size =\"46358528\"]\n  2 [size=\"137222827\", alpha=\"0.04\", expect_size=\"41166848\"] \n  2 -> 4 [size =\"41166848\"]\n  3 [size=\"104809813\", alpha=\"0.01\", expect_size=\"31442944\"] \n  3 -> 6 [size =\"31442944\"]\n  4 [size=\"22555307\", alpha=\"0.16\", expect_size=\"6766592\"] \n  4 -> 7 [size =\"6766592\"]\n  4 -> 8 [size =\"6766592\"]\n  5 [size=\"59613867\", alpha=\"0.10\", expect_size=\"17884160\"] \n  5 -> 7 [size =\"17884160\"]\n  6 [size=\"96180907\", alpha=\"0.02\", expect_size=\"28854272\"] \n  6 -> 7 [size =\"28854272\"]\n  7 [size=\"128757760\", alpha=\"0.19\", expect_size=\"38627328\"] \n  7 -> 9 [size =\"38627328\"]\n  7 -> 10 [size =\"38627328\"]\n  8 [size=\"21637120\", alpha=\"0.19\", expect_size=\"6491136\"] \n  8 -> 10 [size =\"6491136\"]\n  8 -> 11 [size =\"6491136\"]\n  9 [size=\"70993920\", alpha=\"0.08\", expect_size=\"21298176\"] \n  9 -> 12 [size =\"21298176\"]\n  9 -> 13 [size =\"21298176\"]\n  10 [size=\"142004907\", alpha=\"0.03\", expect_size=\"42601472\"] \n  10 -> 12 [size =\"42601472\"]\n  10 -> 13 [size =\"42601472\"]\n  10 -> 14 [size =\"42601472\"]\n  11 [size=\"85882880\", alpha=\"0.15\", expect_size=\"25764864\"] \n  11 -> 12 [size =\"25764864\"]\n  11 -> 13 [size =\"25764864\"]\n  11 -> 14 [size =\"25764864\"]\n  12 [size=\"67413333\", alpha=\"0.04\", expect_size=\"20224000\"] \n  12 -> 16 [size =\"20224000\"]\n  13 [size=\"97884160\", alpha=\"0.10\", expect_size=\"29365248\"] \n  13 -> 15 [size =\"29365248\"]\n  14 [size=\"103526400\", alpha=\"0.12\", expect_size=\"31057920\"] \n  14 -> 16 [size =\"31057920\"]\n  15 [size=\"72717653\", alpha=\"0.05\", expect_size=\"21815296\"] \n  15 -> 17 [size =\"21815296\"]\n  15 -> 18 [size =\"21815296\"]\n  16 [size=\"148247893\", alpha=\"0.09\", expect_size=\"44474368\"] \n  16 -> 17 [size =\"44474368\"]\n  16 -> 18 [size =\"44474368\"]\n  16 -> 19 [size =\"44474368\"]\n  17 [size=\"166140587\", alpha=\"0.15\", expect_size=\"49842176\"] \n  17 -> 20 [size =\"49842176\"]\n  17 -> 21 [size =\"49842176\"]\n  17 -> 22 [size =\"49842176\"]\n  18 [size=\"158938453\", alpha=\"0.03\", expect_size=\"47681536\"] \n  18 -> 20 [size =\"47681536\"]\n  18 -> 21 [size =\"47681536\"]\n  18 -> 22 [size =\"47681536\"]\n  19 [size=\"152043520\", alpha=\"0.13\", expect_size=\"45613056\"] \n  19 -> 21 [size =\"45613056\"]\n  19 -> 22 [size =\"45613056\"]\n  20 [size=\"60033707\", alpha=\"0.03\", expect_size=\"18010112\"] \n  20 -> 23 [size =\"18010112\"]\n  20 -> 24 [size =\"18010112\"]\n  21 [size=\"84063573\", alpha=\"0.12\", expect_size=\"25219072\"] \n  21 -> 23 [size =\"25219072\"]\n  21 -> 24 [size =\"25219072\"]\n  22 [size=\"46264320\", alpha=\"0.15\", expect_size=\"13879296\"] \n  22 -> 23 [size =\"13879296\"]\n  22 -> 24 [size =\"13879296\"]\n  23 [size=\"73939627\", alpha=\"0.10\", expect_size=\"22181888\"] \n  23 -> 25 [size =\"22181888\"]\n  23 -> 26 [size =\"22181888\"]\n  24 [size=\"148974933\", alpha=\"0.05\", expect_size=\"44692480\"] \n  24 -> 25 [size =\"44692480\"]\n  24 -> 26 [size =\"44692480\"]\n  25 [size=\"82647040\", alpha=\"0.06\", expect_size=\"24794112\"] \n  25 -> 27 [size =\"24794112\"]\n  25 -> 28 [size =\"24794112\"]\n  25 -> 29 [size =\"24794112\"]\n  26 [size=\"118586027\", alpha=\"0.16\", expect_size=\"35575808\"] \n  26 -> 27 [size =\"35575808\"]\n  26 -> 29 [size =\"35575808\"]\n  27 [size=\"34000213\", alpha=\"0.01\", expect_size=\"10200064\"] \n  27 -> 30 [size =\"10200064\"]\n  27 -> 31 [size =\"10200064\"]\n  28 [size=\"149725867\", alpha=\"0.07\", expect_size=\"44917760\"] \n  28 -> 31 [size =\"44917760\"]\n  29 [size=\"17476267\", alpha=\"0.19\", expect_size=\"5242880\"] \n  29 -> 30 [size =\"5242880\"]\n  30 [size=\"115841707\", alpha=\"0.07\", expect_size=\"34752512\"] \n  30 -> 32 [size =\"34752512\"]\n  30 -> 33 [size =\"34752512\"]\n  31 [size=\"142479360\", alpha=\"0.03\", expect_size=\"42743808\"] \n  31 -> 32 [size =\"42743808\"]\n  32 [size=\"77151573\", alpha=\"0.06\", expect_size=\"23145472\"] \n  32 -> 34 [size =\"23145472\"]\n  32 -> 35 [size =\"23145472\"]\n  33 [size=\"39611733\", alpha=\"0.20\", expect_size=\"11883520\"] \n  33 -> 34 [size =\"11883520\"]\n  33 -> 35 [size =\"11883520\"]\n  34 [size=\"117193387\", alpha=\"0.04\", expect_size=\"35158016\"] \n  34 -> 36 [size =\"35158016\"]\n  34 -> 37 [size =\"35158016\"]\n  35 [size=\"157692587\", alpha=\"0.15\", expect_size=\"47307776\"] \n  35 -> 37 [size =\"47307776\"]\n  36 [size=\"45960533\", alpha=\"0.03\", expect_size=\"13788160\"] \n  36 -> 38 [size =\"13788160\"]\n  36 -> 39 [size =\"13788160\"]\n  37 [size=\"17991680\", alpha=\"0.10\", expect_size=\"5397504\"] \n  37 -> 38 [size =\"5397504\"]\n  37 -> 39 [size =\"5397504\"]\n  38 [size=\"27781120\", alpha=\"0.14\", expect_size=\"8334336\"] \n  38 -> 41 [size =\"8334336\"]\n  39 [size=\"79489707\", alpha=\"0.16\", expect_size=\"23846912\"] \n  39 -> 40 [size =\"23846912\"]\n  39 -> 41 [size =\"23846912\"]\n  40 [size=\"69355520\", alpha=\"0.03\", expect_size=\"20806656\"] \n  40 -> 42 [size =\"20806656\"]\n  40 -> 43 [size =\"20806656\"]\n  41 [size=\"121903787\", alpha=\"0.19\", expect_size=\"36571136\"] \n  41 -> 42 [size =\"36571136\"]\n  42 [size=\"148258133\", alpha=\"0.19\", expect_size=\"44477440\"] \n  42 -> 44 [size =\"44477440\"]\n  42 -> 45 [size =\"44477440\"]\n  43 [size=\"41072640\", alpha=\"0.05\", expect_size=\"12321792\"] \n  43 -> 44 [size =\"12321792\"]\n  43 -> 45 [size =\"12321792\"]\n  44 [size=\"38041600\", alpha=\"0.08\", expect_size=\"11412480\"] \n  44 -> 46 [size =\"11412480\"]\n  44 -> 47 [size =\"11412480\"]\n  44 -> 48 [size =\"11412480\"]\n  45 [size=\"67928747\", alpha=\"0.20\", expect_size=\"20378624\"] \n  45 -> 46 [size =\"20378624\"]\n  45 -> 47 [size =\"20378624\"]\n  45 -> 48 [size =\"20378624\"]\n  46 [size=\"28699307\", alpha=\"0.04\", expect_size=\"8609792\"] \n  46 -> 49 [size =\"8609792\"]\n  46 -> 50 [size =\"8609792\"]\n  47 [size=\"51124907\", alpha=\"0.11\", expect_size=\"15337472\"] \n  47 -> 49 [size =\"15337472\"]\n  48 [size=\"126583467\", alpha=\"0.14\", expect_size=\"37975040\"] \n  48 -> 49 [size =\"37975040\"]\n  48 -> 50 [size =\"37975040\"]\n  49 [size=\"81967787\", alpha=\"0.18\", expect_size=\"24590336\"] \n  50 [size=\"51845120\", alpha=\"0.13\", expect_size=\"15553536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.110.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143291733\", alpha=\"0.14\", expect_size=\"42987520\"] \n  1 -> 8 [size =\"42987520\"]\n  1 -> 9 [size =\"42987520\"]\n  1 -> 11 [size =\"42987520\"]\n  1 -> 14 [size =\"42987520\"]\n  2 [size=\"47783253\", alpha=\"0.17\", expect_size=\"14334976\"] \n  2 -> 7 [size =\"14334976\"]\n  2 -> 8 [size =\"14334976\"]\n  2 -> 9 [size =\"14334976\"]\n  2 -> 12 [size =\"14334976\"]\n  3 [size=\"116363947\", alpha=\"0.05\", expect_size=\"34909184\"] \n  3 -> 7 [size =\"34909184\"]\n  3 -> 9 [size =\"34909184\"]\n  3 -> 11 [size =\"34909184\"]\n  3 -> 12 [size =\"34909184\"]\n  3 -> 14 [size =\"34909184\"]\n  4 [size=\"143035733\", alpha=\"0.02\", expect_size=\"42910720\"] \n  4 -> 8 [size =\"42910720\"]\n  4 -> 12 [size =\"42910720\"]\n  4 -> 14 [size =\"42910720\"]\n  5 [size=\"34409813\", alpha=\"0.13\", expect_size=\"10322944\"] \n  5 -> 7 [size =\"10322944\"]\n  5 -> 8 [size =\"10322944\"]\n  5 -> 9 [size =\"10322944\"]\n  5 -> 10 [size =\"10322944\"]\n  5 -> 12 [size =\"10322944\"]\n  5 -> 13 [size =\"10322944\"]\n  5 -> 14 [size =\"10322944\"]\n  6 [size=\"32754347\", alpha=\"0.15\", expect_size=\"9826304\"] \n  6 -> 8 [size =\"9826304\"]\n  6 -> 8 [size =\"9826304\"]\n  6 -> 9 [size =\"9826304\"]\n  6 -> 12 [size =\"9826304\"]\n  7 [size=\"117312853\", alpha=\"0.16\", expect_size=\"35193856\"] \n  7 -> 17 [size =\"35193856\"]\n  7 -> 20 [size =\"35193856\"]\n  7 -> 22 [size =\"35193856\"]\n  8 [size=\"62733653\", alpha=\"0.06\", expect_size=\"18820096\"] \n  8 -> 15 [size =\"18820096\"]\n  8 -> 18 [size =\"18820096\"]\n  8 -> 20 [size =\"18820096\"]\n  8 -> 21 [size =\"18820096\"]\n  8 -> 22 [size =\"18820096\"]\n  9 [size=\"43499520\", alpha=\"0.07\", expect_size=\"13049856\"] \n  9 -> 16 [size =\"13049856\"]\n  9 -> 17 [size =\"13049856\"]\n  9 -> 18 [size =\"13049856\"]\n  9 -> 21 [size =\"13049856\"]\n  10 [size=\"118220800\", alpha=\"0.12\", expect_size=\"35466240\"] \n  10 -> 15 [size =\"35466240\"]\n  10 -> 17 [size =\"35466240\"]\n  10 -> 18 [size =\"35466240\"]\n  10 -> 21 [size =\"35466240\"]\n  11 [size=\"60071253\", alpha=\"0.02\", expect_size=\"18021376\"] \n  11 -> 15 [size =\"18021376\"]\n  11 -> 17 [size =\"18021376\"]\n  11 -> 18 [size =\"18021376\"]\n  11 -> 21 [size =\"18021376\"]\n  11 -> 22 [size =\"18021376\"]\n  12 [size=\"174052693\", alpha=\"0.20\", expect_size=\"52215808\"] \n  12 -> 16 [size =\"52215808\"]\n  12 -> 17 [size =\"52215808\"]\n  12 -> 20 [size =\"52215808\"]\n  12 -> 22 [size =\"52215808\"]\n  13 [size=\"149944320\", alpha=\"0.19\", expect_size=\"44983296\"] \n  13 -> 15 [size =\"44983296\"]\n  13 -> 17 [size =\"44983296\"]\n  13 -> 18 [size =\"44983296\"]\n  13 -> 20 [size =\"44983296\"]\n  13 -> 22 [size =\"44983296\"]\n  14 [size=\"35246080\", alpha=\"0.14\", expect_size=\"10573824\"] \n  14 -> 15 [size =\"10573824\"]\n  14 -> 17 [size =\"10573824\"]\n  14 -> 19 [size =\"10573824\"]\n  14 -> 20 [size =\"10573824\"]\n  14 -> 22 [size =\"10573824\"]\n  15 [size=\"50670933\", alpha=\"0.18\", expect_size=\"15201280\"] \n  15 -> 23 [size =\"15201280\"]\n  15 -> 25 [size =\"15201280\"]\n  15 -> 26 [size =\"15201280\"]\n  15 -> 27 [size =\"15201280\"]\n  16 [size=\"155146240\", alpha=\"0.12\", expect_size=\"46543872\"] \n  16 -> 23 [size =\"46543872\"]\n  16 -> 24 [size =\"46543872\"]\n  16 -> 25 [size =\"46543872\"]\n  16 -> 26 [size =\"46543872\"]\n  16 -> 27 [size =\"46543872\"]\n  17 [size=\"119603200\", alpha=\"0.06\", expect_size=\"35880960\"] \n  17 -> 24 [size =\"35880960\"]\n  17 -> 27 [size =\"35880960\"]\n  18 [size=\"88835413\", alpha=\"0.11\", expect_size=\"26650624\"] \n  18 -> 26 [size =\"26650624\"]\n  18 -> 27 [size =\"26650624\"]\n  19 [size=\"132239360\", alpha=\"0.11\", expect_size=\"39671808\"] \n  19 -> 23 [size =\"39671808\"]\n  19 -> 26 [size =\"39671808\"]\n  19 -> 27 [size =\"39671808\"]\n  20 [size=\"28627627\", alpha=\"0.19\", expect_size=\"8588288\"] \n  20 -> 23 [size =\"8588288\"]\n  20 -> 25 [size =\"8588288\"]\n  20 -> 26 [size =\"8588288\"]\n  20 -> 27 [size =\"8588288\"]\n  21 [size=\"126607360\", alpha=\"0.04\", expect_size=\"37982208\"] \n  21 -> 24 [size =\"37982208\"]\n  21 -> 25 [size =\"37982208\"]\n  21 -> 26 [size =\"37982208\"]\n  21 -> 27 [size =\"37982208\"]\n  22 [size=\"140840960\", alpha=\"0.12\", expect_size=\"42252288\"] \n  22 -> 23 [size =\"42252288\"]\n  22 -> 25 [size =\"42252288\"]\n  22 -> 26 [size =\"42252288\"]\n  22 -> 27 [size =\"42252288\"]\n  23 [size=\"140137813\", alpha=\"0.12\", expect_size=\"42041344\"] \n  23 -> 28 [size =\"42041344\"]\n  23 -> 29 [size =\"42041344\"]\n  23 -> 31 [size =\"42041344\"]\n  24 [size=\"133662720\", alpha=\"0.09\", expect_size=\"40098816\"] \n  24 -> 29 [size =\"40098816\"]\n  24 -> 31 [size =\"40098816\"]\n  24 -> 32 [size =\"40098816\"]\n  25 [size=\"83640320\", alpha=\"0.08\", expect_size=\"25092096\"] \n  25 -> 29 [size =\"25092096\"]\n  25 -> 30 [size =\"25092096\"]\n  25 -> 31 [size =\"25092096\"]\n  25 -> 32 [size =\"25092096\"]\n  26 [size=\"69205333\", alpha=\"0.08\", expect_size=\"20761600\"] \n  26 -> 28 [size =\"20761600\"]\n  26 -> 29 [size =\"20761600\"]\n  26 -> 31 [size =\"20761600\"]\n  26 -> 32 [size =\"20761600\"]\n  27 [size=\"164188160\", alpha=\"0.02\", expect_size=\"49256448\"] \n  27 -> 28 [size =\"49256448\"]\n  27 -> 31 [size =\"49256448\"]\n  27 -> 32 [size =\"49256448\"]\n  27 -> 33 [size =\"49256448\"]\n  28 [size=\"50752853\", alpha=\"0.01\", expect_size=\"15225856\"] \n  28 -> 34 [size =\"15225856\"]\n  28 -> 37 [size =\"15225856\"]\n  28 -> 38 [size =\"15225856\"]\n  28 -> 39 [size =\"15225856\"]\n  29 [size=\"135297707\", alpha=\"0.04\", expect_size=\"40589312\"] \n  29 -> 36 [size =\"40589312\"]\n  29 -> 38 [size =\"40589312\"]\n  29 -> 39 [size =\"40589312\"]\n  30 [size=\"65638400\", alpha=\"0.19\", expect_size=\"19691520\"] \n  30 -> 35 [size =\"19691520\"]\n  30 -> 36 [size =\"19691520\"]\n  30 -> 37 [size =\"19691520\"]\n  30 -> 38 [size =\"19691520\"]\n  31 [size=\"60733440\", alpha=\"0.20\", expect_size=\"18220032\"] \n  31 -> 34 [size =\"18220032\"]\n  31 -> 36 [size =\"18220032\"]\n  31 -> 38 [size =\"18220032\"]\n  31 -> 39 [size =\"18220032\"]\n  32 [size=\"89111893\", alpha=\"0.00\", expect_size=\"26733568\"] \n  32 -> 34 [size =\"26733568\"]\n  32 -> 36 [size =\"26733568\"]\n  32 -> 38 [size =\"26733568\"]\n  33 [size=\"23794347\", alpha=\"0.18\", expect_size=\"7138304\"] \n  33 -> 34 [size =\"7138304\"]\n  33 -> 35 [size =\"7138304\"]\n  33 -> 36 [size =\"7138304\"]\n  33 -> 37 [size =\"7138304\"]\n  33 -> 38 [size =\"7138304\"]\n  33 -> 39 [size =\"7138304\"]\n  34 [size=\"120961707\", alpha=\"0.17\", expect_size=\"36288512\"] \n  34 -> 43 [size =\"36288512\"]\n  34 -> 44 [size =\"36288512\"]\n  35 [size=\"34307413\", alpha=\"0.01\", expect_size=\"10292224\"] \n  35 -> 41 [size =\"10292224\"]\n  35 -> 42 [size =\"10292224\"]\n  35 -> 43 [size =\"10292224\"]\n  35 -> 44 [size =\"10292224\"]\n  36 [size=\"95348053\", alpha=\"0.03\", expect_size=\"28604416\"] \n  36 -> 44 [size =\"28604416\"]\n  37 [size=\"162068480\", alpha=\"0.17\", expect_size=\"48620544\"] \n  37 -> 40 [size =\"48620544\"]\n  37 -> 41 [size =\"48620544\"]\n  37 -> 43 [size =\"48620544\"]\n  37 -> 44 [size =\"48620544\"]\n  38 [size=\"19742720\", alpha=\"0.01\", expect_size=\"5922816\"] \n  38 -> 42 [size =\"5922816\"]\n  38 -> 43 [size =\"5922816\"]\n  38 -> 45 [size =\"5922816\"]\n  39 [size=\"28200960\", alpha=\"0.19\", expect_size=\"8460288\"] \n  39 -> 40 [size =\"8460288\"]\n  39 -> 42 [size =\"8460288\"]\n  39 -> 43 [size =\"8460288\"]\n  39 -> 44 [size =\"8460288\"]\n  40 [size=\"56183467\", alpha=\"0.18\", expect_size=\"16855040\"] \n  40 -> 47 [size =\"16855040\"]\n  40 -> 50 [size =\"16855040\"]\n  41 [size=\"47148373\", alpha=\"0.12\", expect_size=\"14144512\"] \n  41 -> 46 [size =\"14144512\"]\n  41 -> 49 [size =\"14144512\"]\n  41 -> 50 [size =\"14144512\"]\n  42 [size=\"43694080\", alpha=\"0.01\", expect_size=\"13108224\"] \n  42 -> 46 [size =\"13108224\"]\n  42 -> 48 [size =\"13108224\"]\n  42 -> 49 [size =\"13108224\"]\n  42 -> 50 [size =\"13108224\"]\n  43 [size=\"45110613\", alpha=\"0.06\", expect_size=\"13533184\"] \n  43 -> 47 [size =\"13533184\"]\n  43 -> 49 [size =\"13533184\"]\n  43 -> 49 [size =\"13533184\"]\n  44 [size=\"26579627\", alpha=\"0.05\", expect_size=\"7973888\"] \n  44 -> 46 [size =\"7973888\"]\n  44 -> 48 [size =\"7973888\"]\n  44 -> 49 [size =\"7973888\"]\n  45 [size=\"163160747\", alpha=\"0.13\", expect_size=\"48948224\"] \n  45 -> 46 [size =\"48948224\"]\n  45 -> 48 [size =\"48948224\"]\n  46 [size=\"173479253\", alpha=\"0.07\", expect_size=\"52043776\"] \n  47 [size=\"37922133\", alpha=\"0.00\", expect_size=\"11376640\"] \n  48 [size=\"173189120\", alpha=\"0.18\", expect_size=\"51956736\"] \n  49 [size=\"21500587\", alpha=\"0.10\", expect_size=\"6450176\"] \n  50 [size=\"169478827\", alpha=\"0.08\", expect_size=\"50843648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.111.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15452160\", alpha=\"0.13\", expect_size=\"7726080\"] \n  1 -> 3 [size =\"7726080\"]\n  2 [size=\"77649920\", alpha=\"0.01\", expect_size=\"38824960\"] \n  2 -> 3 [size =\"38824960\"]\n  2 -> 4 [size =\"38824960\"]\n  3 [size=\"54274048\", alpha=\"0.09\", expect_size=\"27137024\"] \n  3 -> 5 [size =\"27137024\"]\n  3 -> 6 [size =\"27137024\"]\n  3 -> 7 [size =\"27137024\"]\n  4 [size=\"71530496\", alpha=\"0.06\", expect_size=\"35765248\"] \n  4 -> 6 [size =\"35765248\"]\n  4 -> 7 [size =\"35765248\"]\n  5 [size=\"90306560\", alpha=\"0.13\", expect_size=\"45153280\"] \n  6 [size=\"42729472\", alpha=\"0.01\", expect_size=\"21364736\"] \n  6 -> 9 [size =\"21364736\"]\n  7 [size=\"54765568\", alpha=\"0.01\", expect_size=\"27382784\"] \n  7 -> 8 [size =\"27382784\"]\n  7 -> 9 [size =\"27382784\"]\n  8 [size=\"73308160\", alpha=\"0.13\", expect_size=\"36654080\"] \n  8 -> 10 [size =\"36654080\"]\n  8 -> 11 [size =\"36654080\"]\n  8 -> 12 [size =\"36654080\"]\n  9 [size=\"60983296\", alpha=\"0.10\", expect_size=\"30491648\"] \n  9 -> 10 [size =\"30491648\"]\n  9 -> 11 [size =\"30491648\"]\n  9 -> 12 [size =\"30491648\"]\n  10 [size=\"69857280\", alpha=\"0.04\", expect_size=\"34928640\"] \n  10 -> 13 [size =\"34928640\"]\n  10 -> 14 [size =\"34928640\"]\n  11 [size=\"52537344\", alpha=\"0.11\", expect_size=\"26268672\"] \n  11 -> 14 [size =\"26268672\"]\n  11 -> 14 [size =\"26268672\"]\n  12 [size=\"17936384\", alpha=\"0.02\", expect_size=\"8968192\"] \n  13 [size=\"21774336\", alpha=\"0.19\", expect_size=\"10887168\"] \n  13 -> 16 [size =\"10887168\"]\n  14 [size=\"65292288\", alpha=\"0.01\", expect_size=\"32646144\"] \n  14 -> 15 [size =\"32646144\"]\n  14 -> 16 [size =\"32646144\"]\n  15 [size=\"95688704\", alpha=\"0.20\", expect_size=\"47844352\"] \n  15 -> 17 [size =\"47844352\"]\n  15 -> 18 [size =\"47844352\"]\n  16 [size=\"62636032\", alpha=\"0.03\", expect_size=\"31318016\"] \n  16 -> 17 [size =\"31318016\"]\n  16 -> 18 [size =\"31318016\"]\n  17 [size=\"67694592\", alpha=\"0.10\", expect_size=\"33847296\"] \n  17 -> 19 [size =\"33847296\"]\n  18 [size=\"73529344\", alpha=\"0.17\", expect_size=\"36764672\"] \n  18 -> 19 [size =\"36764672\"]\n  18 -> 20 [size =\"36764672\"]\n  19 [size=\"41830400\", alpha=\"0.06\", expect_size=\"20915200\"] \n  19 -> 21 [size =\"20915200\"]\n  19 -> 22 [size =\"20915200\"]\n  20 [size=\"87089152\", alpha=\"0.03\", expect_size=\"43544576\"] \n  20 -> 22 [size =\"43544576\"]\n  21 [size=\"13346816\", alpha=\"0.01\", expect_size=\"6673408\"] \n  21 -> 23 [size =\"6673408\"]\n  21 -> 24 [size =\"6673408\"]\n  22 [size=\"64516096\", alpha=\"0.13\", expect_size=\"32258048\"] \n  22 -> 24 [size =\"32258048\"]\n  23 [size=\"71854080\", alpha=\"0.15\", expect_size=\"35927040\"] \n  23 -> 25 [size =\"35927040\"]\n  23 -> 26 [size =\"35927040\"]\n  24 [size=\"69105664\", alpha=\"0.09\", expect_size=\"34552832\"] \n  24 -> 25 [size =\"34552832\"]\n  24 -> 26 [size =\"34552832\"]\n  25 [size=\"75104256\", alpha=\"0.01\", expect_size=\"37552128\"] \n  25 -> 27 [size =\"37552128\"]\n  25 -> 28 [size =\"37552128\"]\n  26 [size=\"74545152\", alpha=\"0.19\", expect_size=\"37272576\"] \n  26 -> 27 [size =\"37272576\"]\n  26 -> 28 [size =\"37272576\"]\n  27 [size=\"87611392\", alpha=\"0.07\", expect_size=\"43805696\"] \n  27 -> 29 [size =\"43805696\"]\n  27 -> 31 [size =\"43805696\"]\n  28 [size=\"42186752\", alpha=\"0.07\", expect_size=\"21093376\"] \n  28 -> 30 [size =\"21093376\"]\n  28 -> 31 [size =\"21093376\"]\n  29 [size=\"27049984\", alpha=\"0.19\", expect_size=\"13524992\"] \n  29 -> 33 [size =\"13524992\"]\n  29 -> 34 [size =\"13524992\"]\n  30 [size=\"53743616\", alpha=\"0.03\", expect_size=\"26871808\"] \n  30 -> 32 [size =\"26871808\"]\n  30 -> 33 [size =\"26871808\"]\n  30 -> 34 [size =\"26871808\"]\n  31 [size=\"66363392\", alpha=\"0.17\", expect_size=\"33181696\"] \n  31 -> 32 [size =\"33181696\"]\n  31 -> 34 [size =\"33181696\"]\n  32 [size=\"69877760\", alpha=\"0.11\", expect_size=\"34938880\"] \n  32 -> 35 [size =\"34938880\"]\n  32 -> 36 [size =\"34938880\"]\n  33 [size=\"37081088\", alpha=\"0.08\", expect_size=\"18540544\"] \n  33 -> 37 [size =\"18540544\"]\n  34 [size=\"11763712\", alpha=\"0.17\", expect_size=\"5881856\"] \n  34 -> 35 [size =\"5881856\"]\n  34 -> 36 [size =\"5881856\"]\n  35 [size=\"54968320\", alpha=\"0.04\", expect_size=\"27484160\"] \n  35 -> 38 [size =\"27484160\"]\n  35 -> 39 [size =\"27484160\"]\n  36 [size=\"57774080\", alpha=\"0.02\", expect_size=\"28887040\"] \n  36 -> 39 [size =\"28887040\"]\n  37 [size=\"52426752\", alpha=\"0.12\", expect_size=\"26213376\"] \n  37 -> 39 [size =\"26213376\"]\n  38 [size=\"83206144\", alpha=\"0.15\", expect_size=\"41603072\"] \n  38 -> 40 [size =\"41603072\"]\n  38 -> 42 [size =\"41603072\"]\n  39 [size=\"24190976\", alpha=\"0.05\", expect_size=\"12095488\"] \n  39 -> 40 [size =\"12095488\"]\n  39 -> 41 [size =\"12095488\"]\n  39 -> 42 [size =\"12095488\"]\n  40 [size=\"20254720\", alpha=\"0.11\", expect_size=\"10127360\"] \n  40 -> 44 [size =\"10127360\"]\n  41 [size=\"36397056\", alpha=\"0.18\", expect_size=\"18198528\"] \n  41 -> 43 [size =\"18198528\"]\n  41 -> 44 [size =\"18198528\"]\n  42 [size=\"20297728\", alpha=\"0.17\", expect_size=\"10148864\"] \n  42 -> 43 [size =\"10148864\"]\n  42 -> 44 [size =\"10148864\"]\n  43 [size=\"73783296\", alpha=\"0.08\", expect_size=\"36891648\"] \n  43 -> 45 [size =\"36891648\"]\n  43 -> 46 [size =\"36891648\"]\n  44 [size=\"19396608\", alpha=\"0.12\", expect_size=\"9698304\"] \n  44 -> 45 [size =\"9698304\"]\n  45 [size=\"100689920\", alpha=\"0.09\", expect_size=\"50344960\"] \n  45 -> 47 [size =\"50344960\"]\n  45 -> 48 [size =\"50344960\"]\n  45 -> 49 [size =\"50344960\"]\n  46 [size=\"25380864\", alpha=\"0.20\", expect_size=\"12690432\"] \n  46 -> 47 [size =\"12690432\"]\n  46 -> 48 [size =\"12690432\"]\n  46 -> 49 [size =\"12690432\"]\n  47 [size=\"34363392\", alpha=\"0.07\", expect_size=\"17181696\"] \n  47 -> 50 [size =\"17181696\"]\n  48 [size=\"90474496\", alpha=\"0.01\", expect_size=\"45237248\"] \n  49 [size=\"68018176\", alpha=\"0.19\", expect_size=\"34009088\"] \n  50 [size=\"92710912\", alpha=\"0.06\", expect_size=\"46355456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.112.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29769728\", alpha=\"0.04\", expect_size=\"14884864\"] \n  1 -> 16 [size =\"14884864\"]\n  1 -> 19 [size =\"14884864\"]\n  1 -> 20 [size =\"14884864\"]\n  1 -> 20 [size =\"14884864\"]\n  1 -> 22 [size =\"14884864\"]\n  1 -> 23 [size =\"14884864\"]\n  1 -> 24 [size =\"14884864\"]\n  2 [size=\"86194176\", alpha=\"0.06\", expect_size=\"43097088\"] \n  2 -> 16 [size =\"43097088\"]\n  2 -> 17 [size =\"43097088\"]\n  2 -> 19 [size =\"43097088\"]\n  2 -> 20 [size =\"43097088\"]\n  2 -> 24 [size =\"43097088\"]\n  3 [size=\"34342912\", alpha=\"0.20\", expect_size=\"17171456\"] \n  3 -> 15 [size =\"17171456\"]\n  3 -> 18 [size =\"17171456\"]\n  3 -> 20 [size =\"17171456\"]\n  3 -> 23 [size =\"17171456\"]\n  3 -> 24 [size =\"17171456\"]\n  4 [size=\"61644800\", alpha=\"0.16\", expect_size=\"30822400\"] \n  4 -> 16 [size =\"30822400\"]\n  4 -> 18 [size =\"30822400\"]\n  4 -> 22 [size =\"30822400\"]\n  4 -> 24 [size =\"30822400\"]\n  5 [size=\"56078336\", alpha=\"0.20\", expect_size=\"28039168\"] \n  5 -> 15 [size =\"28039168\"]\n  5 -> 17 [size =\"28039168\"]\n  5 -> 19 [size =\"28039168\"]\n  5 -> 22 [size =\"28039168\"]\n  5 -> 23 [size =\"28039168\"]\n  5 -> 24 [size =\"28039168\"]\n  6 [size=\"32051200\", alpha=\"0.08\", expect_size=\"16025600\"] \n  6 -> 17 [size =\"16025600\"]\n  6 -> 19 [size =\"16025600\"]\n  6 -> 20 [size =\"16025600\"]\n  6 -> 22 [size =\"16025600\"]\n  6 -> 23 [size =\"16025600\"]\n  7 [size=\"53432320\", alpha=\"0.02\", expect_size=\"26716160\"] \n  7 -> 16 [size =\"26716160\"]\n  7 -> 17 [size =\"26716160\"]\n  7 -> 18 [size =\"26716160\"]\n  7 -> 19 [size =\"26716160\"]\n  7 -> 22 [size =\"26716160\"]\n  7 -> 23 [size =\"26716160\"]\n  8 [size=\"26206208\", alpha=\"0.18\", expect_size=\"13103104\"] \n  8 -> 15 [size =\"13103104\"]\n  8 -> 17 [size =\"13103104\"]\n  8 -> 18 [size =\"13103104\"]\n  8 -> 19 [size =\"13103104\"]\n  8 -> 20 [size =\"13103104\"]\n  8 -> 22 [size =\"13103104\"]\n  8 -> 23 [size =\"13103104\"]\n  9 [size=\"24133632\", alpha=\"0.04\", expect_size=\"12066816\"] \n  9 -> 15 [size =\"12066816\"]\n  9 -> 18 [size =\"12066816\"]\n  9 -> 19 [size =\"12066816\"]\n  9 -> 19 [size =\"12066816\"]\n  9 -> 20 [size =\"12066816\"]\n  9 -> 21 [size =\"12066816\"]\n  9 -> 22 [size =\"12066816\"]\n  9 -> 23 [size =\"12066816\"]\n  9 -> 24 [size =\"12066816\"]\n  10 [size=\"61753344\", alpha=\"0.13\", expect_size=\"30876672\"] \n  10 -> 15 [size =\"30876672\"]\n  10 -> 17 [size =\"30876672\"]\n  10 -> 18 [size =\"30876672\"]\n  10 -> 19 [size =\"30876672\"]\n  10 -> 20 [size =\"30876672\"]\n  10 -> 22 [size =\"30876672\"]\n  10 -> 23 [size =\"30876672\"]\n  11 [size=\"93642752\", alpha=\"0.18\", expect_size=\"46821376\"] \n  11 -> 15 [size =\"46821376\"]\n  11 -> 16 [size =\"46821376\"]\n  11 -> 17 [size =\"46821376\"]\n  11 -> 18 [size =\"46821376\"]\n  11 -> 19 [size =\"46821376\"]\n  11 -> 20 [size =\"46821376\"]\n  11 -> 21 [size =\"46821376\"]\n  11 -> 22 [size =\"46821376\"]\n  11 -> 23 [size =\"46821376\"]\n  11 -> 24 [size =\"46821376\"]\n  12 [size=\"19679232\", alpha=\"0.08\", expect_size=\"9839616\"] \n  12 -> 15 [size =\"9839616\"]\n  12 -> 17 [size =\"9839616\"]\n  12 -> 18 [size =\"9839616\"]\n  12 -> 18 [size =\"9839616\"]\n  12 -> 20 [size =\"9839616\"]\n  12 -> 20 [size =\"9839616\"]\n  12 -> 22 [size =\"9839616\"]\n  12 -> 23 [size =\"9839616\"]\n  12 -> 23 [size =\"9839616\"]\n  12 -> 24 [size =\"9839616\"]\n  13 [size=\"47499264\", alpha=\"0.05\", expect_size=\"23749632\"] \n  13 -> 15 [size =\"23749632\"]\n  13 -> 19 [size =\"23749632\"]\n  13 -> 20 [size =\"23749632\"]\n  13 -> 21 [size =\"23749632\"]\n  13 -> 22 [size =\"23749632\"]\n  13 -> 24 [size =\"23749632\"]\n  14 [size=\"47161344\", alpha=\"0.17\", expect_size=\"23580672\"] \n  14 -> 15 [size =\"23580672\"]\n  14 -> 18 [size =\"23580672\"]\n  14 -> 19 [size =\"23580672\"]\n  14 -> 20 [size =\"23580672\"]\n  14 -> 22 [size =\"23580672\"]\n  14 -> 24 [size =\"23580672\"]\n  15 [size=\"26896384\", alpha=\"0.03\", expect_size=\"13448192\"] \n  15 -> 27 [size =\"13448192\"]\n  15 -> 28 [size =\"13448192\"]\n  15 -> 32 [size =\"13448192\"]\n  15 -> 33 [size =\"13448192\"]\n  15 -> 35 [size =\"13448192\"]\n  15 -> 37 [size =\"13448192\"]\n  15 -> 38 [size =\"13448192\"]\n  16 [size=\"24653824\", alpha=\"0.01\", expect_size=\"12326912\"] \n  16 -> 28 [size =\"12326912\"]\n  16 -> 28 [size =\"12326912\"]\n  16 -> 30 [size =\"12326912\"]\n  16 -> 32 [size =\"12326912\"]\n  16 -> 33 [size =\"12326912\"]\n  16 -> 34 [size =\"12326912\"]\n  16 -> 35 [size =\"12326912\"]\n  16 -> 37 [size =\"12326912\"]\n  17 [size=\"64258048\", alpha=\"0.12\", expect_size=\"32129024\"] \n  17 -> 27 [size =\"32129024\"]\n  17 -> 28 [size =\"32129024\"]\n  17 -> 32 [size =\"32129024\"]\n  17 -> 32 [size =\"32129024\"]\n  17 -> 33 [size =\"32129024\"]\n  17 -> 34 [size =\"32129024\"]\n  17 -> 35 [size =\"32129024\"]\n  17 -> 36 [size =\"32129024\"]\n  18 [size=\"72370176\", alpha=\"0.11\", expect_size=\"36185088\"] \n  18 -> 26 [size =\"36185088\"]\n  18 -> 28 [size =\"36185088\"]\n  18 -> 34 [size =\"36185088\"]\n  18 -> 35 [size =\"36185088\"]\n  18 -> 36 [size =\"36185088\"]\n  18 -> 37 [size =\"36185088\"]\n  18 -> 38 [size =\"36185088\"]\n  19 [size=\"65146880\", alpha=\"0.11\", expect_size=\"32573440\"] \n  19 -> 25 [size =\"32573440\"]\n  19 -> 28 [size =\"32573440\"]\n  19 -> 34 [size =\"32573440\"]\n  19 -> 35 [size =\"32573440\"]\n  19 -> 37 [size =\"32573440\"]\n  19 -> 37 [size =\"32573440\"]\n  19 -> 38 [size =\"32573440\"]\n  20 [size=\"82413568\", alpha=\"0.12\", expect_size=\"41206784\"] \n  20 -> 25 [size =\"41206784\"]\n  20 -> 28 [size =\"41206784\"]\n  20 -> 30 [size =\"41206784\"]\n  20 -> 31 [size =\"41206784\"]\n  20 -> 34 [size =\"41206784\"]\n  20 -> 35 [size =\"41206784\"]\n  20 -> 36 [size =\"41206784\"]\n  20 -> 37 [size =\"41206784\"]\n  21 [size=\"49078272\", alpha=\"0.17\", expect_size=\"24539136\"] \n  21 -> 29 [size =\"24539136\"]\n  21 -> 30 [size =\"24539136\"]\n  21 -> 35 [size =\"24539136\"]\n  22 [size=\"40884224\", alpha=\"0.18\", expect_size=\"20442112\"] \n  22 -> 28 [size =\"20442112\"]\n  22 -> 30 [size =\"20442112\"]\n  22 -> 32 [size =\"20442112\"]\n  22 -> 33 [size =\"20442112\"]\n  22 -> 34 [size =\"20442112\"]\n  22 -> 38 [size =\"20442112\"]\n  23 [size=\"80945152\", alpha=\"0.04\", expect_size=\"40472576\"] \n  23 -> 27 [size =\"40472576\"]\n  23 -> 32 [size =\"40472576\"]\n  23 -> 34 [size =\"40472576\"]\n  23 -> 35 [size =\"40472576\"]\n  24 [size=\"104767488\", alpha=\"0.00\", expect_size=\"52383744\"] \n  24 -> 25 [size =\"52383744\"]\n  24 -> 28 [size =\"52383744\"]\n  24 -> 32 [size =\"52383744\"]\n  24 -> 34 [size =\"52383744\"]\n  24 -> 38 [size =\"52383744\"]\n  25 [size=\"89022464\", alpha=\"0.07\", expect_size=\"44511232\"] \n  25 -> 41 [size =\"44511232\"]\n  25 -> 42 [size =\"44511232\"]\n  25 -> 43 [size =\"44511232\"]\n  25 -> 45 [size =\"44511232\"]\n  25 -> 46 [size =\"44511232\"]\n  25 -> 47 [size =\"44511232\"]\n  25 -> 50 [size =\"44511232\"]\n  26 [size=\"10848256\", alpha=\"0.18\", expect_size=\"5424128\"] \n  26 -> 43 [size =\"5424128\"]\n  26 -> 44 [size =\"5424128\"]\n  26 -> 45 [size =\"5424128\"]\n  26 -> 45 [size =\"5424128\"]\n  26 -> 47 [size =\"5424128\"]\n  26 -> 47 [size =\"5424128\"]\n  27 [size=\"15468544\", alpha=\"0.18\", expect_size=\"7734272\"] \n  27 -> 39 [size =\"7734272\"]\n  27 -> 40 [size =\"7734272\"]\n  27 -> 43 [size =\"7734272\"]\n  27 -> 44 [size =\"7734272\"]\n  27 -> 45 [size =\"7734272\"]\n  27 -> 46 [size =\"7734272\"]\n  27 -> 50 [size =\"7734272\"]\n  28 [size=\"72787968\", alpha=\"0.01\", expect_size=\"36393984\"] \n  28 -> 44 [size =\"36393984\"]\n  28 -> 45 [size =\"36393984\"]\n  28 -> 47 [size =\"36393984\"]\n  28 -> 50 [size =\"36393984\"]\n  29 [size=\"30697472\", alpha=\"0.07\", expect_size=\"15348736\"] \n  29 -> 44 [size =\"15348736\"]\n  29 -> 45 [size =\"15348736\"]\n  29 -> 46 [size =\"15348736\"]\n  29 -> 47 [size =\"15348736\"]\n  30 [size=\"84023296\", alpha=\"0.05\", expect_size=\"42011648\"] \n  30 -> 41 [size =\"42011648\"]\n  30 -> 44 [size =\"42011648\"]\n  30 -> 45 [size =\"42011648\"]\n  30 -> 46 [size =\"42011648\"]\n  30 -> 47 [size =\"42011648\"]\n  30 -> 50 [size =\"42011648\"]\n  31 [size=\"46315520\", alpha=\"0.19\", expect_size=\"23157760\"] \n  31 -> 44 [size =\"23157760\"]\n  31 -> 47 [size =\"23157760\"]\n  32 [size=\"31234048\", alpha=\"0.16\", expect_size=\"15617024\"] \n  32 -> 47 [size =\"15617024\"]\n  32 -> 47 [size =\"15617024\"]\n  32 -> 50 [size =\"15617024\"]\n  33 [size=\"20115456\", alpha=\"0.01\", expect_size=\"10057728\"] \n  33 -> 40 [size =\"10057728\"]\n  33 -> 43 [size =\"10057728\"]\n  33 -> 44 [size =\"10057728\"]\n  33 -> 45 [size =\"10057728\"]\n  34 [size=\"36814848\", alpha=\"0.13\", expect_size=\"18407424\"] \n  34 -> 45 [size =\"18407424\"]\n  34 -> 46 [size =\"18407424\"]\n  34 -> 47 [size =\"18407424\"]\n  35 [size=\"38125568\", alpha=\"0.09\", expect_size=\"19062784\"] \n  35 -> 41 [size =\"19062784\"]\n  35 -> 45 [size =\"19062784\"]\n  35 -> 47 [size =\"19062784\"]\n  35 -> 48 [size =\"19062784\"]\n  35 -> 49 [size =\"19062784\"]\n  35 -> 50 [size =\"19062784\"]\n  36 [size=\"69636096\", alpha=\"0.08\", expect_size=\"34818048\"] \n  36 -> 39 [size =\"34818048\"]\n  36 -> 41 [size =\"34818048\"]\n  36 -> 44 [size =\"34818048\"]\n  36 -> 46 [size =\"34818048\"]\n  36 -> 49 [size =\"34818048\"]\n  37 [size=\"58546176\", alpha=\"0.18\", expect_size=\"29273088\"] \n  37 -> 42 [size =\"29273088\"]\n  37 -> 44 [size =\"29273088\"]\n  37 -> 44 [size =\"29273088\"]\n  37 -> 45 [size =\"29273088\"]\n  37 -> 50 [size =\"29273088\"]\n  38 [size=\"47800320\", alpha=\"0.01\", expect_size=\"23900160\"] \n  38 -> 45 [size =\"23900160\"]\n  38 -> 46 [size =\"23900160\"]\n  39 [size=\"53121024\", alpha=\"0.16\", expect_size=\"26560512\"] \n  40 [size=\"88160256\", alpha=\"0.06\", expect_size=\"44080128\"] \n  41 [size=\"15441920\", alpha=\"0.05\", expect_size=\"7720960\"] \n  42 [size=\"12494848\", alpha=\"0.10\", expect_size=\"6247424\"] \n  43 [size=\"88510464\", alpha=\"0.09\", expect_size=\"44255232\"] \n  44 [size=\"91760640\", alpha=\"0.09\", expect_size=\"45880320\"] \n  45 [size=\"58920960\", alpha=\"0.05\", expect_size=\"29460480\"] \n  46 [size=\"100777984\", alpha=\"0.02\", expect_size=\"50388992\"] \n  47 [size=\"42754048\", alpha=\"0.19\", expect_size=\"21377024\"] \n  48 [size=\"32995328\", alpha=\"0.10\", expect_size=\"16497664\"] \n  49 [size=\"39012352\", alpha=\"0.05\", expect_size=\"19506176\"] \n  50 [size=\"21098496\", alpha=\"0.15\", expect_size=\"10549248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.113.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70492160\", alpha=\"0.06\", expect_size=\"35246080\"] \n  1 -> 8 [size =\"35246080\"]\n  1 -> 10 [size =\"35246080\"]\n  1 -> 12 [size =\"35246080\"]\n  1 -> 13 [size =\"35246080\"]\n  2 [size=\"26320896\", alpha=\"0.13\", expect_size=\"13160448\"] \n  2 -> 8 [size =\"13160448\"]\n  2 -> 12 [size =\"13160448\"]\n  3 [size=\"65497088\", alpha=\"0.07\", expect_size=\"32748544\"] \n  3 -> 7 [size =\"32748544\"]\n  3 -> 8 [size =\"32748544\"]\n  3 -> 9 [size =\"32748544\"]\n  3 -> 12 [size =\"32748544\"]\n  3 -> 13 [size =\"32748544\"]\n  4 [size=\"47239168\", alpha=\"0.01\", expect_size=\"23619584\"] \n  4 -> 10 [size =\"23619584\"]\n  5 [size=\"15067136\", alpha=\"0.08\", expect_size=\"7533568\"] \n  5 -> 8 [size =\"7533568\"]\n  5 -> 9 [size =\"7533568\"]\n  5 -> 11 [size =\"7533568\"]\n  6 [size=\"88993792\", alpha=\"0.13\", expect_size=\"44496896\"] \n  6 -> 8 [size =\"44496896\"]\n  6 -> 10 [size =\"44496896\"]\n  6 -> 11 [size =\"44496896\"]\n  7 [size=\"95692800\", alpha=\"0.17\", expect_size=\"47846400\"] \n  7 -> 14 [size =\"47846400\"]\n  7 -> 15 [size =\"47846400\"]\n  7 -> 16 [size =\"47846400\"]\n  7 -> 18 [size =\"47846400\"]\n  8 [size=\"74848256\", alpha=\"0.20\", expect_size=\"37424128\"] \n  8 -> 16 [size =\"37424128\"]\n  8 -> 17 [size =\"37424128\"]\n  8 -> 18 [size =\"37424128\"]\n  8 -> 19 [size =\"37424128\"]\n  9 [size=\"61452288\", alpha=\"0.19\", expect_size=\"30726144\"] \n  9 -> 20 [size =\"30726144\"]\n  10 [size=\"21942272\", alpha=\"0.18\", expect_size=\"10971136\"] \n  10 -> 16 [size =\"10971136\"]\n  10 -> 17 [size =\"10971136\"]\n  10 -> 19 [size =\"10971136\"]\n  11 [size=\"12769280\", alpha=\"0.18\", expect_size=\"6384640\"] \n  11 -> 16 [size =\"6384640\"]\n  11 -> 17 [size =\"6384640\"]\n  11 -> 19 [size =\"6384640\"]\n  12 [size=\"39583744\", alpha=\"0.14\", expect_size=\"19791872\"] \n  12 -> 15 [size =\"19791872\"]\n  13 [size=\"101898240\", alpha=\"0.09\", expect_size=\"50949120\"] \n  13 -> 14 [size =\"50949120\"]\n  13 -> 15 [size =\"50949120\"]\n  13 -> 16 [size =\"50949120\"]\n  13 -> 18 [size =\"50949120\"]\n  13 -> 19 [size =\"50949120\"]\n  13 -> 20 [size =\"50949120\"]\n  14 [size=\"41850880\", alpha=\"0.06\", expect_size=\"20925440\"] \n  14 -> 24 [size =\"20925440\"]\n  14 -> 25 [size =\"20925440\"]\n  15 [size=\"48728064\", alpha=\"0.18\", expect_size=\"24364032\"] \n  15 -> 22 [size =\"24364032\"]\n  15 -> 24 [size =\"24364032\"]\n  15 -> 25 [size =\"24364032\"]\n  16 [size=\"85094400\", alpha=\"0.09\", expect_size=\"42547200\"] \n  16 -> 21 [size =\"42547200\"]\n  16 -> 24 [size =\"42547200\"]\n  16 -> 25 [size =\"42547200\"]\n  17 [size=\"52502528\", alpha=\"0.16\", expect_size=\"26251264\"] \n  17 -> 21 [size =\"26251264\"]\n  17 -> 24 [size =\"26251264\"]\n  17 -> 25 [size =\"26251264\"]\n  17 -> 26 [size =\"26251264\"]\n  18 [size=\"39753728\", alpha=\"0.05\", expect_size=\"19876864\"] \n  18 -> 23 [size =\"19876864\"]\n  18 -> 24 [size =\"19876864\"]\n  19 [size=\"38547456\", alpha=\"0.06\", expect_size=\"19273728\"] \n  19 -> 21 [size =\"19273728\"]\n  19 -> 23 [size =\"19273728\"]\n  19 -> 27 [size =\"19273728\"]\n  20 [size=\"36073472\", alpha=\"0.11\", expect_size=\"18036736\"] \n  20 -> 22 [size =\"18036736\"]\n  20 -> 23 [size =\"18036736\"]\n  21 [size=\"28743680\", alpha=\"0.09\", expect_size=\"14371840\"] \n  21 -> 29 [size =\"14371840\"]\n  21 -> 32 [size =\"14371840\"]\n  22 [size=\"19202048\", alpha=\"0.11\", expect_size=\"9601024\"] \n  22 -> 29 [size =\"9601024\"]\n  22 -> 30 [size =\"9601024\"]\n  22 -> 34 [size =\"9601024\"]\n  23 [size=\"86493184\", alpha=\"0.04\", expect_size=\"43246592\"] \n  23 -> 33 [size =\"43246592\"]\n  23 -> 34 [size =\"43246592\"]\n  23 -> 34 [size =\"43246592\"]\n  24 [size=\"33259520\", alpha=\"0.04\", expect_size=\"16629760\"] \n  24 -> 28 [size =\"16629760\"]\n  24 -> 29 [size =\"16629760\"]\n  24 -> 30 [size =\"16629760\"]\n  24 -> 31 [size =\"16629760\"]\n  24 -> 33 [size =\"16629760\"]\n  24 -> 34 [size =\"16629760\"]\n  25 [size=\"63541248\", alpha=\"0.06\", expect_size=\"31770624\"] \n  25 -> 31 [size =\"31770624\"]\n  26 [size=\"51847168\", alpha=\"0.04\", expect_size=\"25923584\"] \n  26 -> 29 [size =\"25923584\"]\n  26 -> 31 [size =\"25923584\"]\n  26 -> 34 [size =\"25923584\"]\n  27 [size=\"94689280\", alpha=\"0.01\", expect_size=\"47344640\"] \n  27 -> 29 [size =\"47344640\"]\n  27 -> 31 [size =\"47344640\"]\n  27 -> 32 [size =\"47344640\"]\n  27 -> 33 [size =\"47344640\"]\n  28 [size=\"76570624\", alpha=\"0.11\", expect_size=\"38285312\"] \n  28 -> 36 [size =\"38285312\"]\n  29 [size=\"102111232\", alpha=\"0.12\", expect_size=\"51055616\"] \n  29 -> 35 [size =\"51055616\"]\n  29 -> 36 [size =\"51055616\"]\n  29 -> 37 [size =\"51055616\"]\n  29 -> 40 [size =\"51055616\"]\n  30 [size=\"37177344\", alpha=\"0.15\", expect_size=\"18588672\"] \n  30 -> 36 [size =\"18588672\"]\n  30 -> 36 [size =\"18588672\"]\n  30 -> 37 [size =\"18588672\"]\n  30 -> 38 [size =\"18588672\"]\n  30 -> 40 [size =\"18588672\"]\n  31 [size=\"91222016\", alpha=\"0.19\", expect_size=\"45611008\"] \n  31 -> 37 [size =\"45611008\"]\n  31 -> 39 [size =\"45611008\"]\n  32 [size=\"41138176\", alpha=\"0.09\", expect_size=\"20569088\"] \n  32 -> 35 [size =\"20569088\"]\n  32 -> 37 [size =\"20569088\"]\n  32 -> 40 [size =\"20569088\"]\n  33 [size=\"91502592\", alpha=\"0.18\", expect_size=\"45751296\"] \n  33 -> 37 [size =\"45751296\"]\n  33 -> 40 [size =\"45751296\"]\n  34 [size=\"14213120\", alpha=\"0.14\", expect_size=\"7106560\"] \n  34 -> 38 [size =\"7106560\"]\n  34 -> 39 [size =\"7106560\"]\n  35 [size=\"34766848\", alpha=\"0.18\", expect_size=\"17383424\"] \n  35 -> 42 [size =\"17383424\"]\n  35 -> 45 [size =\"17383424\"]\n  35 -> 46 [size =\"17383424\"]\n  35 -> 47 [size =\"17383424\"]\n  36 [size=\"63375360\", alpha=\"0.18\", expect_size=\"31687680\"] \n  36 -> 41 [size =\"31687680\"]\n  36 -> 43 [size =\"31687680\"]\n  36 -> 45 [size =\"31687680\"]\n  37 [size=\"84176896\", alpha=\"0.07\", expect_size=\"42088448\"] \n  37 -> 43 [size =\"42088448\"]\n  37 -> 44 [size =\"42088448\"]\n  37 -> 45 [size =\"42088448\"]\n  37 -> 46 [size =\"42088448\"]\n  37 -> 47 [size =\"42088448\"]\n  38 [size=\"88008704\", alpha=\"0.02\", expect_size=\"44004352\"] \n  38 -> 43 [size =\"44004352\"]\n  38 -> 44 [size =\"44004352\"]\n  38 -> 45 [size =\"44004352\"]\n  39 [size=\"44859392\", alpha=\"0.02\", expect_size=\"22429696\"] \n  40 [size=\"100069376\", alpha=\"0.09\", expect_size=\"50034688\"] \n  40 -> 43 [size =\"50034688\"]\n  40 -> 47 [size =\"50034688\"]\n  41 [size=\"76353536\", alpha=\"0.19\", expect_size=\"38176768\"] \n  42 [size=\"70369280\", alpha=\"0.11\", expect_size=\"35184640\"] \n  42 -> 48 [size =\"35184640\"]\n  42 -> 50 [size =\"35184640\"]\n  43 [size=\"16842752\", alpha=\"0.19\", expect_size=\"8421376\"] \n  43 -> 48 [size =\"8421376\"]\n  44 [size=\"101556224\", alpha=\"0.12\", expect_size=\"50778112\"] \n  44 -> 48 [size =\"50778112\"]\n  45 [size=\"72765440\", alpha=\"0.16\", expect_size=\"36382720\"] \n  45 -> 48 [size =\"36382720\"]\n  45 -> 50 [size =\"36382720\"]\n  46 [size=\"63082496\", alpha=\"0.09\", expect_size=\"31541248\"] \n  46 -> 50 [size =\"31541248\"]\n  46 -> 50 [size =\"31541248\"]\n  47 [size=\"52746240\", alpha=\"0.00\", expect_size=\"26373120\"] \n  47 -> 48 [size =\"26373120\"]\n  47 -> 49 [size =\"26373120\"]\n  47 -> 50 [size =\"26373120\"]\n  48 [size=\"83773440\", alpha=\"0.05\", expect_size=\"41886720\"] \n  49 [size=\"91064320\", alpha=\"0.09\", expect_size=\"45532160\"] \n  50 [size=\"102678528\", alpha=\"0.19\", expect_size=\"51339264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.114.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36652373\", alpha=\"0.03\", expect_size=\"10995712\"] \n  1 -> 22 [size =\"10995712\"]\n  1 -> 23 [size =\"10995712\"]\n  1 -> 34 [size =\"10995712\"]\n  1 -> 35 [size =\"10995712\"]\n  1 -> 36 [size =\"10995712\"]\n  2 [size=\"43380053\", alpha=\"0.05\", expect_size=\"13014016\"] \n  2 -> 21 [size =\"13014016\"]\n  2 -> 22 [size =\"13014016\"]\n  2 -> 23 [size =\"13014016\"]\n  2 -> 28 [size =\"13014016\"]\n  2 -> 31 [size =\"13014016\"]\n  2 -> 35 [size =\"13014016\"]\n  2 -> 36 [size =\"13014016\"]\n  3 [size=\"117951147\", alpha=\"0.20\", expect_size=\"35385344\"] \n  3 -> 21 [size =\"35385344\"]\n  3 -> 22 [size =\"35385344\"]\n  3 -> 28 [size =\"35385344\"]\n  3 -> 31 [size =\"35385344\"]\n  3 -> 35 [size =\"35385344\"]\n  3 -> 35 [size =\"35385344\"]\n  3 -> 36 [size =\"35385344\"]\n  3 -> 37 [size =\"35385344\"]\n  4 [size=\"113131520\", alpha=\"0.01\", expect_size=\"33939456\"] \n  4 -> 21 [size =\"33939456\"]\n  4 -> 22 [size =\"33939456\"]\n  4 -> 23 [size =\"33939456\"]\n  4 -> 26 [size =\"33939456\"]\n  4 -> 27 [size =\"33939456\"]\n  4 -> 28 [size =\"33939456\"]\n  4 -> 29 [size =\"33939456\"]\n  4 -> 31 [size =\"33939456\"]\n  4 -> 36 [size =\"33939456\"]\n  4 -> 37 [size =\"33939456\"]\n  5 [size=\"38188373\", alpha=\"0.08\", expect_size=\"11456512\"] \n  5 -> 21 [size =\"11456512\"]\n  5 -> 23 [size =\"11456512\"]\n  5 -> 24 [size =\"11456512\"]\n  5 -> 27 [size =\"11456512\"]\n  5 -> 28 [size =\"11456512\"]\n  5 -> 36 [size =\"11456512\"]\n  5 -> 37 [size =\"11456512\"]\n  6 [size=\"58176853\", alpha=\"0.14\", expect_size=\"17453056\"] \n  6 -> 21 [size =\"17453056\"]\n  6 -> 23 [size =\"17453056\"]\n  6 -> 26 [size =\"17453056\"]\n  6 -> 36 [size =\"17453056\"]\n  6 -> 37 [size =\"17453056\"]\n  7 [size=\"119446187\", alpha=\"0.11\", expect_size=\"35833856\"] \n  7 -> 21 [size =\"35833856\"]\n  7 -> 26 [size =\"35833856\"]\n  7 -> 26 [size =\"35833856\"]\n  7 -> 28 [size =\"35833856\"]\n  7 -> 30 [size =\"35833856\"]\n  7 -> 36 [size =\"35833856\"]\n  7 -> 37 [size =\"35833856\"]\n  8 [size=\"99024213\", alpha=\"0.16\", expect_size=\"29707264\"] \n  8 -> 21 [size =\"29707264\"]\n  8 -> 22 [size =\"29707264\"]\n  8 -> 23 [size =\"29707264\"]\n  8 -> 24 [size =\"29707264\"]\n  8 -> 26 [size =\"29707264\"]\n  8 -> 28 [size =\"29707264\"]\n  8 -> 30 [size =\"29707264\"]\n  8 -> 35 [size =\"29707264\"]\n  8 -> 36 [size =\"29707264\"]\n  9 [size=\"131085653\", alpha=\"0.16\", expect_size=\"39325696\"] \n  9 -> 21 [size =\"39325696\"]\n  9 -> 22 [size =\"39325696\"]\n  9 -> 23 [size =\"39325696\"]\n  9 -> 25 [size =\"39325696\"]\n  9 -> 28 [size =\"39325696\"]\n  9 -> 28 [size =\"39325696\"]\n  9 -> 31 [size =\"39325696\"]\n  9 -> 32 [size =\"39325696\"]\n  9 -> 35 [size =\"39325696\"]\n  9 -> 36 [size =\"39325696\"]\n  9 -> 37 [size =\"39325696\"]\n  10 [size=\"122391893\", alpha=\"0.09\", expect_size=\"36717568\"] \n  10 -> 21 [size =\"36717568\"]\n  10 -> 22 [size =\"36717568\"]\n  10 -> 23 [size =\"36717568\"]\n  10 -> 27 [size =\"36717568\"]\n  10 -> 28 [size =\"36717568\"]\n  10 -> 30 [size =\"36717568\"]\n  10 -> 31 [size =\"36717568\"]\n  10 -> 32 [size =\"36717568\"]\n  10 -> 35 [size =\"36717568\"]\n  10 -> 36 [size =\"36717568\"]\n  10 -> 37 [size =\"36717568\"]\n  11 [size=\"71727787\", alpha=\"0.18\", expect_size=\"21518336\"] \n  11 -> 21 [size =\"21518336\"]\n  11 -> 23 [size =\"21518336\"]\n  11 -> 26 [size =\"21518336\"]\n  11 -> 27 [size =\"21518336\"]\n  11 -> 28 [size =\"21518336\"]\n  11 -> 30 [size =\"21518336\"]\n  11 -> 31 [size =\"21518336\"]\n  11 -> 35 [size =\"21518336\"]\n  11 -> 36 [size =\"21518336\"]\n  12 [size=\"95911253\", alpha=\"0.08\", expect_size=\"28773376\"] \n  12 -> 23 [size =\"28773376\"]\n  12 -> 23 [size =\"28773376\"]\n  12 -> 26 [size =\"28773376\"]\n  12 -> 28 [size =\"28773376\"]\n  12 -> 28 [size =\"28773376\"]\n  12 -> 30 [size =\"28773376\"]\n  12 -> 32 [size =\"28773376\"]\n  12 -> 35 [size =\"28773376\"]\n  12 -> 36 [size =\"28773376\"]\n  13 [size=\"133348693\", alpha=\"0.04\", expect_size=\"40004608\"] \n  13 -> 21 [size =\"40004608\"]\n  13 -> 22 [size =\"40004608\"]\n  13 -> 26 [size =\"40004608\"]\n  13 -> 27 [size =\"40004608\"]\n  13 -> 28 [size =\"40004608\"]\n  13 -> 30 [size =\"40004608\"]\n  13 -> 35 [size =\"40004608\"]\n  13 -> 36 [size =\"40004608\"]\n  14 [size=\"130362027\", alpha=\"0.09\", expect_size=\"39108608\"] \n  14 -> 21 [size =\"39108608\"]\n  14 -> 22 [size =\"39108608\"]\n  14 -> 23 [size =\"39108608\"]\n  14 -> 27 [size =\"39108608\"]\n  14 -> 30 [size =\"39108608\"]\n  14 -> 32 [size =\"39108608\"]\n  14 -> 35 [size =\"39108608\"]\n  14 -> 36 [size =\"39108608\"]\n  15 [size=\"138772480\", alpha=\"0.03\", expect_size=\"41631744\"] \n  15 -> 21 [size =\"41631744\"]\n  15 -> 22 [size =\"41631744\"]\n  15 -> 23 [size =\"41631744\"]\n  15 -> 24 [size =\"41631744\"]\n  15 -> 27 [size =\"41631744\"]\n  15 -> 36 [size =\"41631744\"]\n  15 -> 37 [size =\"41631744\"]\n  16 [size=\"44854613\", alpha=\"0.01\", expect_size=\"13456384\"] \n  16 -> 22 [size =\"13456384\"]\n  16 -> 22 [size =\"13456384\"]\n  16 -> 28 [size =\"13456384\"]\n  17 [size=\"151063893\", alpha=\"0.16\", expect_size=\"45319168\"] \n  17 -> 21 [size =\"45319168\"]\n  17 -> 22 [size =\"45319168\"]\n  17 -> 31 [size =\"45319168\"]\n  17 -> 37 [size =\"45319168\"]\n  18 [size=\"80718507\", alpha=\"0.08\", expect_size=\"24215552\"] \n  18 -> 21 [size =\"24215552\"]\n  18 -> 22 [size =\"24215552\"]\n  18 -> 23 [size =\"24215552\"]\n  18 -> 32 [size =\"24215552\"]\n  18 -> 33 [size =\"24215552\"]\n  18 -> 36 [size =\"24215552\"]\n  18 -> 37 [size =\"24215552\"]\n  19 [size=\"48793600\", alpha=\"0.09\", expect_size=\"14638080\"] \n  19 -> 22 [size =\"14638080\"]\n  19 -> 27 [size =\"14638080\"]\n  19 -> 28 [size =\"14638080\"]\n  19 -> 32 [size =\"14638080\"]\n  19 -> 34 [size =\"14638080\"]\n  19 -> 35 [size =\"14638080\"]\n  19 -> 37 [size =\"14638080\"]\n  20 [size=\"171417600\", alpha=\"0.06\", expect_size=\"51425280\"] \n  20 -> 22 [size =\"51425280\"]\n  20 -> 23 [size =\"51425280\"]\n  20 -> 26 [size =\"51425280\"]\n  20 -> 30 [size =\"51425280\"]\n  20 -> 35 [size =\"51425280\"]\n  20 -> 35 [size =\"51425280\"]\n  21 [size=\"86227627\", alpha=\"0.06\", expect_size=\"25868288\"] \n  21 -> 38 [size =\"25868288\"]\n  21 -> 42 [size =\"25868288\"]\n  21 -> 43 [size =\"25868288\"]\n  21 -> 44 [size =\"25868288\"]\n  21 -> 45 [size =\"25868288\"]\n  22 [size=\"70714027\", alpha=\"0.09\", expect_size=\"21214208\"] \n  22 -> 38 [size =\"21214208\"]\n  22 -> 42 [size =\"21214208\"]\n  22 -> 43 [size =\"21214208\"]\n  22 -> 44 [size =\"21214208\"]\n  22 -> 45 [size =\"21214208\"]\n  22 -> 46 [size =\"21214208\"]\n  23 [size=\"131553280\", alpha=\"0.04\", expect_size=\"39465984\"] \n  23 -> 41 [size =\"39465984\"]\n  23 -> 42 [size =\"39465984\"]\n  23 -> 43 [size =\"39465984\"]\n  23 -> 46 [size =\"39465984\"]\n  23 -> 50 [size =\"39465984\"]\n  24 [size=\"160044373\", alpha=\"0.12\", expect_size=\"48013312\"] \n  24 -> 42 [size =\"48013312\"]\n  24 -> 42 [size =\"48013312\"]\n  24 -> 43 [size =\"48013312\"]\n  24 -> 48 [size =\"48013312\"]\n  24 -> 49 [size =\"48013312\"]\n  25 [size=\"71161173\", alpha=\"0.03\", expect_size=\"21348352\"] \n  25 -> 38 [size =\"21348352\"]\n  25 -> 39 [size =\"21348352\"]\n  25 -> 41 [size =\"21348352\"]\n  25 -> 42 [size =\"21348352\"]\n  25 -> 43 [size =\"21348352\"]\n  25 -> 44 [size =\"21348352\"]\n  25 -> 45 [size =\"21348352\"]\n  25 -> 46 [size =\"21348352\"]\n  25 -> 49 [size =\"21348352\"]\n  25 -> 50 [size =\"21348352\"]\n  26 [size=\"94760960\", alpha=\"0.19\", expect_size=\"28428288\"] \n  26 -> 39 [size =\"28428288\"]\n  26 -> 41 [size =\"28428288\"]\n  26 -> 42 [size =\"28428288\"]\n  26 -> 42 [size =\"28428288\"]\n  26 -> 44 [size =\"28428288\"]\n  26 -> 48 [size =\"28428288\"]\n  27 [size=\"99918507\", alpha=\"0.07\", expect_size=\"29975552\"] \n  27 -> 38 [size =\"29975552\"]\n  27 -> 39 [size =\"29975552\"]\n  27 -> 41 [size =\"29975552\"]\n  27 -> 42 [size =\"29975552\"]\n  27 -> 43 [size =\"29975552\"]\n  27 -> 44 [size =\"29975552\"]\n  27 -> 50 [size =\"29975552\"]\n  28 [size=\"69672960\", alpha=\"0.06\", expect_size=\"20901888\"] \n  28 -> 38 [size =\"20901888\"]\n  28 -> 42 [size =\"20901888\"]\n  28 -> 43 [size =\"20901888\"]\n  28 -> 50 [size =\"20901888\"]\n  29 [size=\"132915200\", alpha=\"0.20\", expect_size=\"39874560\"] \n  29 -> 38 [size =\"39874560\"]\n  29 -> 42 [size =\"39874560\"]\n  29 -> 43 [size =\"39874560\"]\n  29 -> 48 [size =\"39874560\"]\n  29 -> 50 [size =\"39874560\"]\n  30 [size=\"43240107\", alpha=\"0.07\", expect_size=\"12972032\"] \n  30 -> 38 [size =\"12972032\"]\n  30 -> 42 [size =\"12972032\"]\n  30 -> 44 [size =\"12972032\"]\n  30 -> 47 [size =\"12972032\"]\n  30 -> 50 [size =\"12972032\"]\n  31 [size=\"89272320\", alpha=\"0.00\", expect_size=\"26781696\"] \n  31 -> 38 [size =\"26781696\"]\n  31 -> 41 [size =\"26781696\"]\n  31 -> 42 [size =\"26781696\"]\n  31 -> 43 [size =\"26781696\"]\n  31 -> 44 [size =\"26781696\"]\n  31 -> 45 [size =\"26781696\"]\n  31 -> 48 [size =\"26781696\"]\n  31 -> 50 [size =\"26781696\"]\n  32 [size=\"132904960\", alpha=\"0.04\", expect_size=\"39871488\"] \n  32 -> 38 [size =\"39871488\"]\n  32 -> 43 [size =\"39871488\"]\n  32 -> 44 [size =\"39871488\"]\n  32 -> 47 [size =\"39871488\"]\n  32 -> 49 [size =\"39871488\"]\n  32 -> 50 [size =\"39871488\"]\n  33 [size=\"42755413\", alpha=\"0.03\", expect_size=\"12826624\"] \n  33 -> 38 [size =\"12826624\"]\n  33 -> 40 [size =\"12826624\"]\n  33 -> 42 [size =\"12826624\"]\n  33 -> 43 [size =\"12826624\"]\n  33 -> 44 [size =\"12826624\"]\n  33 -> 46 [size =\"12826624\"]\n  33 -> 47 [size =\"12826624\"]\n  33 -> 49 [size =\"12826624\"]\n  33 -> 50 [size =\"12826624\"]\n  34 [size=\"76588373\", alpha=\"0.15\", expect_size=\"22976512\"] \n  34 -> 38 [size =\"22976512\"]\n  34 -> 43 [size =\"22976512\"]\n  34 -> 44 [size =\"22976512\"]\n  34 -> 46 [size =\"22976512\"]\n  34 -> 47 [size =\"22976512\"]\n  34 -> 48 [size =\"22976512\"]\n  34 -> 49 [size =\"22976512\"]\n  34 -> 50 [size =\"22976512\"]\n  35 [size=\"172779520\", alpha=\"0.04\", expect_size=\"51833856\"] \n  35 -> 42 [size =\"51833856\"]\n  35 -> 43 [size =\"51833856\"]\n  35 -> 44 [size =\"51833856\"]\n  35 -> 46 [size =\"51833856\"]\n  35 -> 48 [size =\"51833856\"]\n  35 -> 48 [size =\"51833856\"]\n  36 [size=\"37461333\", alpha=\"0.15\", expect_size=\"11238400\"] \n  36 -> 38 [size =\"11238400\"]\n  36 -> 43 [size =\"11238400\"]\n  36 -> 44 [size =\"11238400\"]\n  36 -> 45 [size =\"11238400\"]\n  36 -> 46 [size =\"11238400\"]\n  36 -> 47 [size =\"11238400\"]\n  36 -> 48 [size =\"11238400\"]\n  37 [size=\"25914027\", alpha=\"0.04\", expect_size=\"7774208\"] \n  37 -> 38 [size =\"7774208\"]\n  37 -> 42 [size =\"7774208\"]\n  37 -> 43 [size =\"7774208\"]\n  37 -> 45 [size =\"7774208\"]\n  37 -> 46 [size =\"7774208\"]\n  37 -> 48 [size =\"7774208\"]\n  38 [size=\"82824533\", alpha=\"0.01\", expect_size=\"24847360\"] \n  39 [size=\"132450987\", alpha=\"0.02\", expect_size=\"39735296\"] \n  40 [size=\"131123200\", alpha=\"0.02\", expect_size=\"39336960\"] \n  41 [size=\"26473813\", alpha=\"0.11\", expect_size=\"7942144\"] \n  42 [size=\"30033920\", alpha=\"0.07\", expect_size=\"9010176\"] \n  43 [size=\"62958933\", alpha=\"0.17\", expect_size=\"18887680\"] \n  44 [size=\"83831467\", alpha=\"0.06\", expect_size=\"25149440\"] \n  45 [size=\"48257707\", alpha=\"0.01\", expect_size=\"14477312\"] \n  46 [size=\"77530453\", alpha=\"0.06\", expect_size=\"23259136\"] \n  47 [size=\"41745067\", alpha=\"0.02\", expect_size=\"12523520\"] \n  48 [size=\"74489173\", alpha=\"0.04\", expect_size=\"22346752\"] \n  49 [size=\"81718613\", alpha=\"0.01\", expect_size=\"24515584\"] \n  50 [size=\"94754133\", alpha=\"0.01\", expect_size=\"28426240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.115.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62064640\", alpha=\"0.06\", expect_size=\"18619392\"] \n  1 -> 35 [size =\"18619392\"]\n  1 -> 42 [size =\"18619392\"]\n  1 -> 44 [size =\"18619392\"]\n  1 -> 50 [size =\"18619392\"]\n  2 [size=\"111158613\", alpha=\"0.02\", expect_size=\"33347584\"] \n  2 -> 35 [size =\"33347584\"]\n  2 -> 41 [size =\"33347584\"]\n  2 -> 42 [size =\"33347584\"]\n  2 -> 46 [size =\"33347584\"]\n  3 [size=\"72386560\", alpha=\"0.16\", expect_size=\"21715968\"] \n  3 -> 35 [size =\"21715968\"]\n  3 -> 38 [size =\"21715968\"]\n  3 -> 41 [size =\"21715968\"]\n  3 -> 45 [size =\"21715968\"]\n  3 -> 47 [size =\"21715968\"]\n  3 -> 49 [size =\"21715968\"]\n  3 -> 50 [size =\"21715968\"]\n  4 [size=\"65416533\", alpha=\"0.17\", expect_size=\"19624960\"] \n  4 -> 41 [size =\"19624960\"]\n  4 -> 46 [size =\"19624960\"]\n  4 -> 47 [size =\"19624960\"]\n  4 -> 50 [size =\"19624960\"]\n  5 [size=\"101864107\", alpha=\"0.12\", expect_size=\"30559232\"] \n  5 -> 46 [size =\"30559232\"]\n  5 -> 50 [size =\"30559232\"]\n  6 [size=\"85278720\", alpha=\"0.04\", expect_size=\"25583616\"] \n  6 -> 37 [size =\"25583616\"]\n  6 -> 44 [size =\"25583616\"]\n  6 -> 46 [size =\"25583616\"]\n  6 -> 49 [size =\"25583616\"]\n  7 [size=\"67727360\", alpha=\"0.04\", expect_size=\"20318208\"] \n  7 -> 39 [size =\"20318208\"]\n  7 -> 49 [size =\"20318208\"]\n  7 -> 50 [size =\"20318208\"]\n  8 [size=\"63767893\", alpha=\"0.01\", expect_size=\"19130368\"] \n  8 -> 35 [size =\"19130368\"]\n  8 -> 37 [size =\"19130368\"]\n  8 -> 40 [size =\"19130368\"]\n  8 -> 41 [size =\"19130368\"]\n  8 -> 42 [size =\"19130368\"]\n  8 -> 47 [size =\"19130368\"]\n  8 -> 48 [size =\"19130368\"]\n  8 -> 49 [size =\"19130368\"]\n  8 -> 50 [size =\"19130368\"]\n  9 [size=\"130051413\", alpha=\"0.14\", expect_size=\"39015424\"] \n  9 -> 38 [size =\"39015424\"]\n  9 -> 42 [size =\"39015424\"]\n  9 -> 44 [size =\"39015424\"]\n  9 -> 45 [size =\"39015424\"]\n  9 -> 46 [size =\"39015424\"]\n  9 -> 47 [size =\"39015424\"]\n  9 -> 49 [size =\"39015424\"]\n  9 -> 50 [size =\"39015424\"]\n  10 [size=\"160037547\", alpha=\"0.05\", expect_size=\"48011264\"] \n  10 -> 35 [size =\"48011264\"]\n  10 -> 37 [size =\"48011264\"]\n  10 -> 44 [size =\"48011264\"]\n  10 -> 46 [size =\"48011264\"]\n  10 -> 47 [size =\"48011264\"]\n  10 -> 48 [size =\"48011264\"]\n  11 [size=\"160802133\", alpha=\"0.01\", expect_size=\"48240640\"] \n  11 -> 35 [size =\"48240640\"]\n  11 -> 36 [size =\"48240640\"]\n  11 -> 41 [size =\"48240640\"]\n  11 -> 46 [size =\"48240640\"]\n  11 -> 48 [size =\"48240640\"]\n  11 -> 48 [size =\"48240640\"]\n  11 -> 50 [size =\"48240640\"]\n  12 [size=\"52462933\", alpha=\"0.08\", expect_size=\"15738880\"] \n  12 -> 35 [size =\"15738880\"]\n  12 -> 41 [size =\"15738880\"]\n  13 [size=\"64378880\", alpha=\"0.15\", expect_size=\"19313664\"] \n  13 -> 35 [size =\"19313664\"]\n  13 -> 37 [size =\"19313664\"]\n  13 -> 46 [size =\"19313664\"]\n  13 -> 47 [size =\"19313664\"]\n  13 -> 50 [size =\"19313664\"]\n  14 [size=\"35112960\", alpha=\"0.03\", expect_size=\"10533888\"] \n  14 -> 43 [size =\"10533888\"]\n  14 -> 46 [size =\"10533888\"]\n  14 -> 46 [size =\"10533888\"]\n  14 -> 47 [size =\"10533888\"]\n  14 -> 48 [size =\"10533888\"]\n  14 -> 49 [size =\"10533888\"]\n  14 -> 50 [size =\"10533888\"]\n  15 [size=\"170110293\", alpha=\"0.04\", expect_size=\"51033088\"] \n  15 -> 35 [size =\"51033088\"]\n  15 -> 36 [size =\"51033088\"]\n  15 -> 37 [size =\"51033088\"]\n  15 -> 44 [size =\"51033088\"]\n  15 -> 49 [size =\"51033088\"]\n  15 -> 50 [size =\"51033088\"]\n  16 [size=\"104034987\", alpha=\"0.17\", expect_size=\"31210496\"] \n  16 -> 35 [size =\"31210496\"]\n  16 -> 36 [size =\"31210496\"]\n  16 -> 45 [size =\"31210496\"]\n  16 -> 46 [size =\"31210496\"]\n  16 -> 47 [size =\"31210496\"]\n  17 [size=\"136861013\", alpha=\"0.02\", expect_size=\"41058304\"] \n  17 -> 35 [size =\"41058304\"]\n  17 -> 37 [size =\"41058304\"]\n  17 -> 41 [size =\"41058304\"]\n  17 -> 44 [size =\"41058304\"]\n  17 -> 46 [size =\"41058304\"]\n  17 -> 48 [size =\"41058304\"]\n  18 [size=\"165748053\", alpha=\"0.12\", expect_size=\"49724416\"] \n  18 -> 37 [size =\"49724416\"]\n  18 -> 43 [size =\"49724416\"]\n  18 -> 44 [size =\"49724416\"]\n  18 -> 47 [size =\"49724416\"]\n  18 -> 48 [size =\"49724416\"]\n  18 -> 49 [size =\"49724416\"]\n  18 -> 50 [size =\"49724416\"]\n  19 [size=\"174749013\", alpha=\"0.14\", expect_size=\"52424704\"] \n  19 -> 41 [size =\"52424704\"]\n  19 -> 42 [size =\"52424704\"]\n  19 -> 43 [size =\"52424704\"]\n  19 -> 48 [size =\"52424704\"]\n  20 [size=\"130457600\", alpha=\"0.12\", expect_size=\"39137280\"] \n  20 -> 38 [size =\"39137280\"]\n  20 -> 42 [size =\"39137280\"]\n  20 -> 45 [size =\"39137280\"]\n  20 -> 46 [size =\"39137280\"]\n  20 -> 47 [size =\"39137280\"]\n  20 -> 48 [size =\"39137280\"]\n  21 [size=\"173199360\", alpha=\"0.16\", expect_size=\"51959808\"] \n  21 -> 35 [size =\"51959808\"]\n  21 -> 36 [size =\"51959808\"]\n  21 -> 39 [size =\"51959808\"]\n  21 -> 42 [size =\"51959808\"]\n  21 -> 46 [size =\"51959808\"]\n  21 -> 48 [size =\"51959808\"]\n  21 -> 50 [size =\"51959808\"]\n  22 [size=\"21538133\", alpha=\"0.12\", expect_size=\"6461440\"] \n  22 -> 36 [size =\"6461440\"]\n  22 -> 36 [size =\"6461440\"]\n  22 -> 41 [size =\"6461440\"]\n  22 -> 48 [size =\"6461440\"]\n  22 -> 50 [size =\"6461440\"]\n  23 [size=\"88340480\", alpha=\"0.15\", expect_size=\"26502144\"] \n  23 -> 37 [size =\"26502144\"]\n  23 -> 38 [size =\"26502144\"]\n  23 -> 41 [size =\"26502144\"]\n  24 [size=\"46731947\", alpha=\"0.03\", expect_size=\"14019584\"] \n  24 -> 35 [size =\"14019584\"]\n  24 -> 37 [size =\"14019584\"]\n  24 -> 41 [size =\"14019584\"]\n  24 -> 44 [size =\"14019584\"]\n  24 -> 46 [size =\"14019584\"]\n  24 -> 47 [size =\"14019584\"]\n  24 -> 48 [size =\"14019584\"]\n  25 [size=\"70208853\", alpha=\"0.03\", expect_size=\"21062656\"] \n  25 -> 35 [size =\"21062656\"]\n  25 -> 36 [size =\"21062656\"]\n  25 -> 38 [size =\"21062656\"]\n  25 -> 41 [size =\"21062656\"]\n  25 -> 44 [size =\"21062656\"]\n  25 -> 46 [size =\"21062656\"]\n  25 -> 48 [size =\"21062656\"]\n  26 [size=\"102242987\", alpha=\"0.11\", expect_size=\"30672896\"] \n  26 -> 35 [size =\"30672896\"]\n  26 -> 39 [size =\"30672896\"]\n  26 -> 45 [size =\"30672896\"]\n  26 -> 46 [size =\"30672896\"]\n  26 -> 48 [size =\"30672896\"]\n  27 [size=\"79100587\", alpha=\"0.05\", expect_size=\"23730176\"] \n  27 -> 35 [size =\"23730176\"]\n  27 -> 36 [size =\"23730176\"]\n  27 -> 42 [size =\"23730176\"]\n  27 -> 46 [size =\"23730176\"]\n  27 -> 48 [size =\"23730176\"]\n  27 -> 50 [size =\"23730176\"]\n  28 [size=\"97061547\", alpha=\"0.06\", expect_size=\"29118464\"] \n  28 -> 35 [size =\"29118464\"]\n  28 -> 36 [size =\"29118464\"]\n  28 -> 39 [size =\"29118464\"]\n  28 -> 46 [size =\"29118464\"]\n  28 -> 48 [size =\"29118464\"]\n  29 [size=\"33658880\", alpha=\"0.01\", expect_size=\"10097664\"] \n  29 -> 35 [size =\"10097664\"]\n  29 -> 36 [size =\"10097664\"]\n  29 -> 37 [size =\"10097664\"]\n  29 -> 39 [size =\"10097664\"]\n  29 -> 41 [size =\"10097664\"]\n  29 -> 44 [size =\"10097664\"]\n  29 -> 45 [size =\"10097664\"]\n  29 -> 46 [size =\"10097664\"]\n  29 -> 48 [size =\"10097664\"]\n  30 [size=\"146240853\", alpha=\"0.13\", expect_size=\"43872256\"] \n  30 -> 35 [size =\"43872256\"]\n  30 -> 36 [size =\"43872256\"]\n  30 -> 37 [size =\"43872256\"]\n  30 -> 44 [size =\"43872256\"]\n  30 -> 46 [size =\"43872256\"]\n  30 -> 48 [size =\"43872256\"]\n  31 [size=\"86606507\", alpha=\"0.04\", expect_size=\"25981952\"] \n  31 -> 35 [size =\"25981952\"]\n  31 -> 36 [size =\"25981952\"]\n  31 -> 37 [size =\"25981952\"]\n  31 -> 41 [size =\"25981952\"]\n  31 -> 46 [size =\"25981952\"]\n  31 -> 48 [size =\"25981952\"]\n  31 -> 49 [size =\"25981952\"]\n  32 [size=\"56630613\", alpha=\"0.20\", expect_size=\"16989184\"] \n  32 -> 35 [size =\"16989184\"]\n  32 -> 36 [size =\"16989184\"]\n  32 -> 38 [size =\"16989184\"]\n  32 -> 41 [size =\"16989184\"]\n  33 [size=\"149995520\", alpha=\"0.01\", expect_size=\"44998656\"] \n  33 -> 35 [size =\"44998656\"]\n  33 -> 36 [size =\"44998656\"]\n  33 -> 37 [size =\"44998656\"]\n  33 -> 41 [size =\"44998656\"]\n  33 -> 43 [size =\"44998656\"]\n  33 -> 44 [size =\"44998656\"]\n  33 -> 47 [size =\"44998656\"]\n  33 -> 48 [size =\"44998656\"]\n  34 [size=\"107045547\", alpha=\"0.05\", expect_size=\"32113664\"] \n  34 -> 35 [size =\"32113664\"]\n  34 -> 37 [size =\"32113664\"]\n  34 -> 37 [size =\"32113664\"]\n  34 -> 38 [size =\"32113664\"]\n  34 -> 41 [size =\"32113664\"]\n  34 -> 43 [size =\"32113664\"]\n  34 -> 44 [size =\"32113664\"]\n  34 -> 47 [size =\"32113664\"]\n  35 [size=\"133007360\", alpha=\"0.08\", expect_size=\"39902208\"] \n  36 [size=\"154978987\", alpha=\"0.02\", expect_size=\"46493696\"] \n  37 [size=\"83483307\", alpha=\"0.12\", expect_size=\"25044992\"] \n  38 [size=\"126061227\", alpha=\"0.20\", expect_size=\"37818368\"] \n  39 [size=\"171714560\", alpha=\"0.08\", expect_size=\"51514368\"] \n  40 [size=\"18449067\", alpha=\"0.11\", expect_size=\"5534720\"] \n  41 [size=\"123398827\", alpha=\"0.13\", expect_size=\"37019648\"] \n  42 [size=\"158037333\", alpha=\"0.16\", expect_size=\"47411200\"] \n  43 [size=\"157347840\", alpha=\"0.08\", expect_size=\"47204352\"] \n  44 [size=\"168236373\", alpha=\"0.03\", expect_size=\"50470912\"] \n  45 [size=\"51053227\", alpha=\"0.05\", expect_size=\"15315968\"] \n  46 [size=\"115725653\", alpha=\"0.18\", expect_size=\"34717696\"] \n  47 [size=\"134236160\", alpha=\"0.19\", expect_size=\"40270848\"] \n  48 [size=\"68683093\", alpha=\"0.10\", expect_size=\"20604928\"] \n  49 [size=\"67345067\", alpha=\"0.03\", expect_size=\"20203520\"] \n  50 [size=\"130205013\", alpha=\"0.13\", expect_size=\"39061504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.116.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171042133\", alpha=\"0.03\", expect_size=\"51312640\"] \n  1 -> 7 [size =\"51312640\"]\n  1 -> 8 [size =\"51312640\"]\n  1 -> 9 [size =\"51312640\"]\n  1 -> 10 [size =\"51312640\"]\n  1 -> 12 [size =\"51312640\"]\n  1 -> 13 [size =\"51312640\"]\n  2 [size=\"50848427\", alpha=\"0.10\", expect_size=\"15254528\"] \n  2 -> 8 [size =\"15254528\"]\n  2 -> 12 [size =\"15254528\"]\n  2 -> 13 [size =\"15254528\"]\n  3 [size=\"169874773\", alpha=\"0.19\", expect_size=\"50962432\"] \n  3 -> 8 [size =\"50962432\"]\n  3 -> 9 [size =\"50962432\"]\n  3 -> 10 [size =\"50962432\"]\n  3 -> 12 [size =\"50962432\"]\n  4 [size=\"22261760\", alpha=\"0.09\", expect_size=\"6678528\"] \n  4 -> 8 [size =\"6678528\"]\n  4 -> 10 [size =\"6678528\"]\n  4 -> 11 [size =\"6678528\"]\n  4 -> 12 [size =\"6678528\"]\n  5 [size=\"153381547\", alpha=\"0.11\", expect_size=\"46014464\"] \n  5 -> 8 [size =\"46014464\"]\n  6 [size=\"86005760\", alpha=\"0.13\", expect_size=\"25801728\"] \n  6 -> 8 [size =\"25801728\"]\n  6 -> 10 [size =\"25801728\"]\n  6 -> 12 [size =\"25801728\"]\n  7 [size=\"96607573\", alpha=\"0.11\", expect_size=\"28982272\"] \n  7 -> 17 [size =\"28982272\"]\n  7 -> 18 [size =\"28982272\"]\n  8 [size=\"37891413\", alpha=\"0.07\", expect_size=\"11367424\"] \n  8 -> 15 [size =\"11367424\"]\n  8 -> 17 [size =\"11367424\"]\n  8 -> 19 [size =\"11367424\"]\n  9 [size=\"98938880\", alpha=\"0.11\", expect_size=\"29681664\"] \n  9 -> 17 [size =\"29681664\"]\n  9 -> 17 [size =\"29681664\"]\n  9 -> 19 [size =\"29681664\"]\n  10 [size=\"104700587\", alpha=\"0.14\", expect_size=\"31410176\"] \n  10 -> 14 [size =\"31410176\"]\n  10 -> 17 [size =\"31410176\"]\n  10 -> 18 [size =\"31410176\"]\n  11 [size=\"98317653\", alpha=\"0.01\", expect_size=\"29495296\"] \n  11 -> 14 [size =\"29495296\"]\n  11 -> 15 [size =\"29495296\"]\n  11 -> 17 [size =\"29495296\"]\n  11 -> 18 [size =\"29495296\"]\n  11 -> 19 [size =\"29495296\"]\n  12 [size=\"118429013\", alpha=\"0.10\", expect_size=\"35528704\"] \n  12 -> 16 [size =\"35528704\"]\n  12 -> 18 [size =\"35528704\"]\n  12 -> 19 [size =\"35528704\"]\n  13 [size=\"42758827\", alpha=\"0.09\", expect_size=\"12827648\"] \n  13 -> 17 [size =\"12827648\"]\n  13 -> 18 [size =\"12827648\"]\n  13 -> 19 [size =\"12827648\"]\n  14 [size=\"36249600\", alpha=\"0.19\", expect_size=\"10874880\"] \n  14 -> 20 [size =\"10874880\"]\n  14 -> 21 [size =\"10874880\"]\n  14 -> 22 [size =\"10874880\"]\n  14 -> 24 [size =\"10874880\"]\n  15 [size=\"109069653\", alpha=\"0.11\", expect_size=\"32720896\"] \n  15 -> 20 [size =\"32720896\"]\n  15 -> 21 [size =\"32720896\"]\n  15 -> 24 [size =\"32720896\"]\n  15 -> 25 [size =\"32720896\"]\n  16 [size=\"35915093\", alpha=\"0.01\", expect_size=\"10774528\"] \n  16 -> 20 [size =\"10774528\"]\n  16 -> 22 [size =\"10774528\"]\n  16 -> 24 [size =\"10774528\"]\n  16 -> 25 [size =\"10774528\"]\n  17 [size=\"135482027\", alpha=\"0.19\", expect_size=\"40644608\"] \n  17 -> 21 [size =\"40644608\"]\n  17 -> 22 [size =\"40644608\"]\n  17 -> 23 [size =\"40644608\"]\n  17 -> 24 [size =\"40644608\"]\n  17 -> 25 [size =\"40644608\"]\n  18 [size=\"61713067\", alpha=\"0.02\", expect_size=\"18513920\"] \n  18 -> 20 [size =\"18513920\"]\n  18 -> 24 [size =\"18513920\"]\n  19 [size=\"118466560\", alpha=\"0.13\", expect_size=\"35539968\"] \n  19 -> 21 [size =\"35539968\"]\n  19 -> 22 [size =\"35539968\"]\n  19 -> 23 [size =\"35539968\"]\n  19 -> 24 [size =\"35539968\"]\n  19 -> 25 [size =\"35539968\"]\n  20 [size=\"45878613\", alpha=\"0.07\", expect_size=\"13763584\"] \n  20 -> 26 [size =\"13763584\"]\n  20 -> 27 [size =\"13763584\"]\n  20 -> 30 [size =\"13763584\"]\n  20 -> 31 [size =\"13763584\"]\n  21 [size=\"156323840\", alpha=\"0.19\", expect_size=\"46897152\"] \n  21 -> 27 [size =\"46897152\"]\n  21 -> 30 [size =\"46897152\"]\n  21 -> 30 [size =\"46897152\"]\n  21 -> 31 [size =\"46897152\"]\n  22 [size=\"161402880\", alpha=\"0.17\", expect_size=\"48420864\"] \n  22 -> 26 [size =\"48420864\"]\n  22 -> 27 [size =\"48420864\"]\n  22 -> 30 [size =\"48420864\"]\n  22 -> 31 [size =\"48420864\"]\n  23 [size=\"81271467\", alpha=\"0.13\", expect_size=\"24381440\"] \n  23 -> 26 [size =\"24381440\"]\n  23 -> 29 [size =\"24381440\"]\n  23 -> 30 [size =\"24381440\"]\n  24 [size=\"148763307\", alpha=\"0.10\", expect_size=\"44628992\"] \n  24 -> 26 [size =\"44628992\"]\n  24 -> 29 [size =\"44628992\"]\n  25 [size=\"141800107\", alpha=\"0.05\", expect_size=\"42540032\"] \n  25 -> 26 [size =\"42540032\"]\n  25 -> 28 [size =\"42540032\"]\n  25 -> 30 [size =\"42540032\"]\n  26 [size=\"69106347\", alpha=\"0.08\", expect_size=\"20731904\"] \n  26 -> 32 [size =\"20731904\"]\n  26 -> 37 [size =\"20731904\"]\n  27 [size=\"76154880\", alpha=\"0.01\", expect_size=\"22846464\"] \n  27 -> 32 [size =\"22846464\"]\n  27 -> 34 [size =\"22846464\"]\n  27 -> 35 [size =\"22846464\"]\n  27 -> 36 [size =\"22846464\"]\n  27 -> 37 [size =\"22846464\"]\n  28 [size=\"66300587\", alpha=\"0.17\", expect_size=\"19890176\"] \n  28 -> 32 [size =\"19890176\"]\n  28 -> 34 [size =\"19890176\"]\n  28 -> 35 [size =\"19890176\"]\n  29 [size=\"81650347\", alpha=\"0.03\", expect_size=\"24495104\"] \n  29 -> 33 [size =\"24495104\"]\n  29 -> 34 [size =\"24495104\"]\n  29 -> 35 [size =\"24495104\"]\n  29 -> 36 [size =\"24495104\"]\n  29 -> 37 [size =\"24495104\"]\n  30 [size=\"28047360\", alpha=\"0.00\", expect_size=\"8414208\"] \n  30 -> 34 [size =\"8414208\"]\n  30 -> 35 [size =\"8414208\"]\n  30 -> 37 [size =\"8414208\"]\n  31 [size=\"79725227\", alpha=\"0.08\", expect_size=\"23917568\"] \n  31 -> 32 [size =\"23917568\"]\n  31 -> 34 [size =\"23917568\"]\n  31 -> 35 [size =\"23917568\"]\n  31 -> 36 [size =\"23917568\"]\n  31 -> 37 [size =\"23917568\"]\n  32 [size=\"75677013\", alpha=\"0.08\", expect_size=\"22703104\"] \n  32 -> 38 [size =\"22703104\"]\n  32 -> 39 [size =\"22703104\"]\n  32 -> 42 [size =\"22703104\"]\n  32 -> 42 [size =\"22703104\"]\n  32 -> 43 [size =\"22703104\"]\n  33 [size=\"49274880\", alpha=\"0.12\", expect_size=\"14782464\"] \n  33 -> 38 [size =\"14782464\"]\n  33 -> 40 [size =\"14782464\"]\n  33 -> 41 [size =\"14782464\"]\n  33 -> 42 [size =\"14782464\"]\n  33 -> 43 [size =\"14782464\"]\n  34 [size=\"152924160\", alpha=\"0.18\", expect_size=\"45877248\"] \n  34 -> 39 [size =\"45877248\"]\n  34 -> 40 [size =\"45877248\"]\n  34 -> 41 [size =\"45877248\"]\n  34 -> 42 [size =\"45877248\"]\n  34 -> 43 [size =\"45877248\"]\n  35 [size=\"76834133\", alpha=\"0.15\", expect_size=\"23050240\"] \n  35 -> 38 [size =\"23050240\"]\n  35 -> 39 [size =\"23050240\"]\n  35 -> 41 [size =\"23050240\"]\n  35 -> 43 [size =\"23050240\"]\n  36 [size=\"114196480\", alpha=\"0.15\", expect_size=\"34258944\"] \n  36 -> 38 [size =\"34258944\"]\n  36 -> 40 [size =\"34258944\"]\n  36 -> 41 [size =\"34258944\"]\n  36 -> 42 [size =\"34258944\"]\n  36 -> 43 [size =\"34258944\"]\n  37 [size=\"18974720\", alpha=\"0.10\", expect_size=\"5692416\"] \n  37 -> 38 [size =\"5692416\"]\n  37 -> 41 [size =\"5692416\"]\n  37 -> 41 [size =\"5692416\"]\n  37 -> 42 [size =\"5692416\"]\n  37 -> 43 [size =\"5692416\"]\n  38 [size=\"27583147\", alpha=\"0.11\", expect_size=\"8274944\"] \n  38 -> 45 [size =\"8274944\"]\n  38 -> 47 [size =\"8274944\"]\n  38 -> 48 [size =\"8274944\"]\n  39 [size=\"160440320\", alpha=\"0.04\", expect_size=\"48132096\"] \n  39 -> 47 [size =\"48132096\"]\n  40 [size=\"27149653\", alpha=\"0.01\", expect_size=\"8144896\"] \n  40 -> 45 [size =\"8144896\"]\n  40 -> 46 [size =\"8144896\"]\n  40 -> 48 [size =\"8144896\"]\n  41 [size=\"29511680\", alpha=\"0.16\", expect_size=\"8853504\"] \n  41 -> 45 [size =\"8853504\"]\n  41 -> 48 [size =\"8853504\"]\n  41 -> 49 [size =\"8853504\"]\n  42 [size=\"91077973\", alpha=\"0.09\", expect_size=\"27323392\"] \n  42 -> 44 [size =\"27323392\"]\n  42 -> 45 [size =\"27323392\"]\n  42 -> 46 [size =\"27323392\"]\n  43 [size=\"155521707\", alpha=\"0.10\", expect_size=\"46656512\"] \n  43 -> 44 [size =\"46656512\"]\n  43 -> 45 [size =\"46656512\"]\n  43 -> 46 [size =\"46656512\"]\n  43 -> 49 [size =\"46656512\"]\n  44 [size=\"90832213\", alpha=\"0.08\", expect_size=\"27249664\"] \n  44 -> 50 [size =\"27249664\"]\n  45 [size=\"73079467\", alpha=\"0.02\", expect_size=\"21923840\"] \n  45 -> 50 [size =\"21923840\"]\n  46 [size=\"36563627\", alpha=\"0.02\", expect_size=\"10969088\"] \n  46 -> 50 [size =\"10969088\"]\n  47 [size=\"157016747\", alpha=\"0.09\", expect_size=\"47105024\"] \n  48 [size=\"80588800\", alpha=\"0.03\", expect_size=\"24176640\"] \n  49 [size=\"166089387\", alpha=\"0.05\", expect_size=\"49826816\"] \n  49 -> 50 [size =\"49826816\"]\n  50 [size=\"42649600\", alpha=\"0.09\", expect_size=\"12794880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.117.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80306176\", alpha=\"0.09\", expect_size=\"40153088\"] \n  1 -> 2 [size =\"40153088\"]\n  2 [size=\"80398336\", alpha=\"0.17\", expect_size=\"40199168\"] \n  2 -> 3 [size =\"40199168\"]\n  3 [size=\"78651392\", alpha=\"0.15\", expect_size=\"39325696\"] \n  3 -> 4 [size =\"39325696\"]\n  4 [size=\"40589312\", alpha=\"0.03\", expect_size=\"20294656\"] \n  4 -> 5 [size =\"20294656\"]\n  5 [size=\"48590848\", alpha=\"0.00\", expect_size=\"24295424\"] \n  5 -> 6 [size =\"24295424\"]\n  6 [size=\"13742080\", alpha=\"0.18\", expect_size=\"6871040\"] \n  6 -> 7 [size =\"6871040\"]\n  7 [size=\"10496000\", alpha=\"0.06\", expect_size=\"5248000\"] \n  7 -> 8 [size =\"5248000\"]\n  8 [size=\"68751360\", alpha=\"0.14\", expect_size=\"34375680\"] \n  8 -> 9 [size =\"34375680\"]\n  9 [size=\"81885184\", alpha=\"0.02\", expect_size=\"40942592\"] \n  9 -> 10 [size =\"40942592\"]\n  10 [size=\"85250048\", alpha=\"0.00\", expect_size=\"42625024\"] \n  10 -> 11 [size =\"42625024\"]\n  11 [size=\"34510848\", alpha=\"0.00\", expect_size=\"17255424\"] \n  11 -> 12 [size =\"17255424\"]\n  12 [size=\"76642304\", alpha=\"0.16\", expect_size=\"38321152\"] \n  12 -> 13 [size =\"38321152\"]\n  13 [size=\"62953472\", alpha=\"0.04\", expect_size=\"31476736\"] \n  13 -> 14 [size =\"31476736\"]\n  14 [size=\"40781824\", alpha=\"0.14\", expect_size=\"20390912\"] \n  14 -> 15 [size =\"20390912\"]\n  15 [size=\"54523904\", alpha=\"0.12\", expect_size=\"27261952\"] \n  15 -> 16 [size =\"27261952\"]\n  16 [size=\"56680448\", alpha=\"0.17\", expect_size=\"28340224\"] \n  16 -> 17 [size =\"28340224\"]\n  17 [size=\"45551616\", alpha=\"0.05\", expect_size=\"22775808\"] \n  17 -> 18 [size =\"22775808\"]\n  18 [size=\"75395072\", alpha=\"0.13\", expect_size=\"37697536\"] \n  18 -> 19 [size =\"37697536\"]\n  19 [size=\"47781888\", alpha=\"0.03\", expect_size=\"23890944\"] \n  19 -> 20 [size =\"23890944\"]\n  20 [size=\"57890816\", alpha=\"0.10\", expect_size=\"28945408\"] \n  20 -> 21 [size =\"28945408\"]\n  21 [size=\"58054656\", alpha=\"0.11\", expect_size=\"29027328\"] \n  21 -> 22 [size =\"29027328\"]\n  22 [size=\"59312128\", alpha=\"0.08\", expect_size=\"29656064\"] \n  22 -> 23 [size =\"29656064\"]\n  23 [size=\"41691136\", alpha=\"0.19\", expect_size=\"20845568\"] \n  23 -> 24 [size =\"20845568\"]\n  24 [size=\"58613760\", alpha=\"0.16\", expect_size=\"29306880\"] \n  24 -> 25 [size =\"29306880\"]\n  25 [size=\"32229376\", alpha=\"0.02\", expect_size=\"16114688\"] \n  25 -> 26 [size =\"16114688\"]\n  26 [size=\"88471552\", alpha=\"0.08\", expect_size=\"44235776\"] \n  26 -> 27 [size =\"44235776\"]\n  27 [size=\"74876928\", alpha=\"0.14\", expect_size=\"37438464\"] \n  27 -> 28 [size =\"37438464\"]\n  28 [size=\"99330048\", alpha=\"0.13\", expect_size=\"49665024\"] \n  28 -> 29 [size =\"49665024\"]\n  29 [size=\"67311616\", alpha=\"0.06\", expect_size=\"33655808\"] \n  29 -> 30 [size =\"33655808\"]\n  30 [size=\"79587328\", alpha=\"0.16\", expect_size=\"39793664\"] \n  30 -> 31 [size =\"39793664\"]\n  31 [size=\"30322688\", alpha=\"0.10\", expect_size=\"15161344\"] \n  31 -> 32 [size =\"15161344\"]\n  32 [size=\"83709952\", alpha=\"0.19\", expect_size=\"41854976\"] \n  32 -> 33 [size =\"41854976\"]\n  33 [size=\"26550272\", alpha=\"0.19\", expect_size=\"13275136\"] \n  33 -> 34 [size =\"13275136\"]\n  34 [size=\"21381120\", alpha=\"0.05\", expect_size=\"10690560\"] \n  34 -> 35 [size =\"10690560\"]\n  35 [size=\"98304000\", alpha=\"0.00\", expect_size=\"49152000\"] \n  35 -> 36 [size =\"49152000\"]\n  36 [size=\"12314624\", alpha=\"0.06\", expect_size=\"6157312\"] \n  36 -> 37 [size =\"6157312\"]\n  37 [size=\"49782784\", alpha=\"0.18\", expect_size=\"24891392\"] \n  37 -> 38 [size =\"24891392\"]\n  38 [size=\"21975040\", alpha=\"0.05\", expect_size=\"10987520\"] \n  38 -> 39 [size =\"10987520\"]\n  39 [size=\"81528832\", alpha=\"0.19\", expect_size=\"40764416\"] \n  39 -> 40 [size =\"40764416\"]\n  40 [size=\"16732160\", alpha=\"0.03\", expect_size=\"8366080\"] \n  40 -> 41 [size =\"8366080\"]\n  41 [size=\"91090944\", alpha=\"0.18\", expect_size=\"45545472\"] \n  41 -> 42 [size =\"45545472\"]\n  42 [size=\"45516800\", alpha=\"0.03\", expect_size=\"22758400\"] \n  42 -> 43 [size =\"22758400\"]\n  43 [size=\"40536064\", alpha=\"0.14\", expect_size=\"20268032\"] \n  43 -> 44 [size =\"20268032\"]\n  44 [size=\"34252800\", alpha=\"0.16\", expect_size=\"17126400\"] \n  44 -> 45 [size =\"17126400\"]\n  45 [size=\"56956928\", alpha=\"0.02\", expect_size=\"28478464\"] \n  45 -> 46 [size =\"28478464\"]\n  46 [size=\"58322944\", alpha=\"0.05\", expect_size=\"29161472\"] \n  46 -> 47 [size =\"29161472\"]\n  47 [size=\"84541440\", alpha=\"0.01\", expect_size=\"42270720\"] \n  47 -> 48 [size =\"42270720\"]\n  48 [size=\"76308480\", alpha=\"0.17\", expect_size=\"38154240\"] \n  48 -> 49 [size =\"38154240\"]\n  49 [size=\"98533376\", alpha=\"0.04\", expect_size=\"49266688\"] \n  49 -> 50 [size =\"49266688\"]\n  50 [size=\"94142464\", alpha=\"0.06\", expect_size=\"47071232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.118.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84118187\", alpha=\"0.01\", expect_size=\"25235456\"] \n  1 -> 22 [size =\"25235456\"]\n  1 -> 27 [size =\"25235456\"]\n  1 -> 28 [size =\"25235456\"]\n  1 -> 31 [size =\"25235456\"]\n  2 [size=\"73383253\", alpha=\"0.16\", expect_size=\"22014976\"] \n  2 -> 19 [size =\"22014976\"]\n  2 -> 25 [size =\"22014976\"]\n  2 -> 27 [size =\"22014976\"]\n  2 -> 28 [size =\"22014976\"]\n  2 -> 31 [size =\"22014976\"]\n  3 [size=\"156129280\", alpha=\"0.07\", expect_size=\"46838784\"] \n  3 -> 21 [size =\"46838784\"]\n  3 -> 27 [size =\"46838784\"]\n  3 -> 28 [size =\"46838784\"]\n  3 -> 28 [size =\"46838784\"]\n  3 -> 29 [size =\"46838784\"]\n  3 -> 31 [size =\"46838784\"]\n  4 [size=\"45970773\", alpha=\"0.16\", expect_size=\"13791232\"] \n  4 -> 21 [size =\"13791232\"]\n  4 -> 23 [size =\"13791232\"]\n  4 -> 28 [size =\"13791232\"]\n  4 -> 29 [size =\"13791232\"]\n  5 [size=\"124955307\", alpha=\"0.06\", expect_size=\"37486592\"] \n  5 -> 19 [size =\"37486592\"]\n  5 -> 23 [size =\"37486592\"]\n  5 -> 24 [size =\"37486592\"]\n  5 -> 25 [size =\"37486592\"]\n  5 -> 31 [size =\"37486592\"]\n  5 -> 32 [size =\"37486592\"]\n  6 [size=\"48189440\", alpha=\"0.12\", expect_size=\"14456832\"] \n  6 -> 20 [size =\"14456832\"]\n  6 -> 23 [size =\"14456832\"]\n  6 -> 24 [size =\"14456832\"]\n  6 -> 25 [size =\"14456832\"]\n  6 -> 26 [size =\"14456832\"]\n  6 -> 28 [size =\"14456832\"]\n  6 -> 31 [size =\"14456832\"]\n  7 [size=\"83210240\", alpha=\"0.07\", expect_size=\"24963072\"] \n  7 -> 26 [size =\"24963072\"]\n  7 -> 27 [size =\"24963072\"]\n  7 -> 28 [size =\"24963072\"]\n  8 [size=\"167287467\", alpha=\"0.06\", expect_size=\"50186240\"] \n  8 -> 21 [size =\"50186240\"]\n  8 -> 26 [size =\"50186240\"]\n  8 -> 31 [size =\"50186240\"]\n  9 [size=\"63901013\", alpha=\"0.02\", expect_size=\"19170304\"] \n  9 -> 21 [size =\"19170304\"]\n  9 -> 23 [size =\"19170304\"]\n  9 -> 26 [size =\"19170304\"]\n  9 -> 27 [size =\"19170304\"]\n  10 [size=\"17640107\", alpha=\"0.05\", expect_size=\"5292032\"] \n  10 -> 25 [size =\"5292032\"]\n  10 -> 26 [size =\"5292032\"]\n  11 [size=\"47083520\", alpha=\"0.13\", expect_size=\"14125056\"] \n  11 -> 22 [size =\"14125056\"]\n  11 -> 27 [size =\"14125056\"]\n  11 -> 28 [size =\"14125056\"]\n  12 [size=\"56210773\", alpha=\"0.17\", expect_size=\"16863232\"] \n  12 -> 19 [size =\"16863232\"]\n  12 -> 21 [size =\"16863232\"]\n  12 -> 25 [size =\"16863232\"]\n  12 -> 26 [size =\"16863232\"]\n  12 -> 30 [size =\"16863232\"]\n  12 -> 31 [size =\"16863232\"]\n  13 [size=\"28258987\", alpha=\"0.03\", expect_size=\"8477696\"] \n  13 -> 21 [size =\"8477696\"]\n  13 -> 25 [size =\"8477696\"]\n  13 -> 31 [size =\"8477696\"]\n  14 [size=\"79523840\", alpha=\"0.03\", expect_size=\"23857152\"] \n  14 -> 24 [size =\"23857152\"]\n  14 -> 25 [size =\"23857152\"]\n  14 -> 26 [size =\"23857152\"]\n  15 [size=\"50831360\", alpha=\"0.03\", expect_size=\"15249408\"] \n  15 -> 19 [size =\"15249408\"]\n  15 -> 20 [size =\"15249408\"]\n  15 -> 21 [size =\"15249408\"]\n  15 -> 24 [size =\"15249408\"]\n  16 [size=\"100464640\", alpha=\"0.09\", expect_size=\"30139392\"] \n  16 -> 19 [size =\"30139392\"]\n  16 -> 21 [size =\"30139392\"]\n  17 [size=\"36901547\", alpha=\"0.20\", expect_size=\"11070464\"] \n  17 -> 21 [size =\"11070464\"]\n  17 -> 23 [size =\"11070464\"]\n  18 [size=\"95447040\", alpha=\"0.10\", expect_size=\"28634112\"] \n  18 -> 25 [size =\"28634112\"]\n  18 -> 26 [size =\"28634112\"]\n  18 -> 32 [size =\"28634112\"]\n  19 [size=\"143776427\", alpha=\"0.16\", expect_size=\"43132928\"] \n  19 -> 33 [size =\"43132928\"]\n  19 -> 36 [size =\"43132928\"]\n  19 -> 38 [size =\"43132928\"]\n  19 -> 39 [size =\"43132928\"]\n  20 [size=\"162816000\", alpha=\"0.13\", expect_size=\"48844800\"] \n  20 -> 33 [size =\"48844800\"]\n  20 -> 37 [size =\"48844800\"]\n  20 -> 38 [size =\"48844800\"]\n  20 -> 39 [size =\"48844800\"]\n  21 [size=\"41058987\", alpha=\"0.18\", expect_size=\"12317696\"] \n  21 -> 37 [size =\"12317696\"]\n  21 -> 39 [size =\"12317696\"]\n  22 [size=\"143841280\", alpha=\"0.10\", expect_size=\"43152384\"] \n  22 -> 36 [size =\"43152384\"]\n  23 [size=\"119374507\", alpha=\"0.19\", expect_size=\"35812352\"] \n  23 -> 33 [size =\"35812352\"]\n  23 -> 38 [size =\"35812352\"]\n  24 [size=\"140113920\", alpha=\"0.12\", expect_size=\"42034176\"] \n  24 -> 33 [size =\"42034176\"]\n  24 -> 34 [size =\"42034176\"]\n  24 -> 37 [size =\"42034176\"]\n  25 [size=\"160877227\", alpha=\"0.19\", expect_size=\"48263168\"] \n  25 -> 33 [size =\"48263168\"]\n  25 -> 37 [size =\"48263168\"]\n  25 -> 40 [size =\"48263168\"]\n  26 [size=\"29709653\", alpha=\"0.10\", expect_size=\"8912896\"] \n  27 [size=\"99078827\", alpha=\"0.09\", expect_size=\"29723648\"] \n  27 -> 34 [size =\"29723648\"]\n  27 -> 38 [size =\"29723648\"]\n  27 -> 39 [size =\"29723648\"]\n  28 [size=\"97191253\", alpha=\"0.07\", expect_size=\"29157376\"] \n  28 -> 35 [size =\"29157376\"]\n  28 -> 41 [size =\"29157376\"]\n  29 [size=\"17565013\", alpha=\"0.11\", expect_size=\"5269504\"] \n  29 -> 39 [size =\"5269504\"]\n  29 -> 41 [size =\"5269504\"]\n  30 [size=\"146677760\", alpha=\"0.15\", expect_size=\"44003328\"] \n  30 -> 33 [size =\"44003328\"]\n  30 -> 39 [size =\"44003328\"]\n  30 -> 40 [size =\"44003328\"]\n  30 -> 41 [size =\"44003328\"]\n  31 [size=\"89832107\", alpha=\"0.03\", expect_size=\"26949632\"] \n  31 -> 36 [size =\"26949632\"]\n  31 -> 37 [size =\"26949632\"]\n  31 -> 39 [size =\"26949632\"]\n  31 -> 41 [size =\"26949632\"]\n  32 [size=\"70959787\", alpha=\"0.16\", expect_size=\"21287936\"] \n  32 -> 36 [size =\"21287936\"]\n  32 -> 37 [size =\"21287936\"]\n  32 -> 38 [size =\"21287936\"]\n  32 -> 41 [size =\"21287936\"]\n  33 [size=\"145967787\", alpha=\"0.10\", expect_size=\"43790336\"] \n  33 -> 44 [size =\"43790336\"]\n  33 -> 45 [size =\"43790336\"]\n  33 -> 46 [size =\"43790336\"]\n  33 -> 47 [size =\"43790336\"]\n  33 -> 48 [size =\"43790336\"]\n  33 -> 49 [size =\"43790336\"]\n  34 [size=\"138936320\", alpha=\"0.12\", expect_size=\"41680896\"] \n  34 -> 43 [size =\"41680896\"]\n  34 -> 44 [size =\"41680896\"]\n  34 -> 49 [size =\"41680896\"]\n  35 [size=\"78366720\", alpha=\"0.19\", expect_size=\"23510016\"] \n  35 -> 42 [size =\"23510016\"]\n  35 -> 48 [size =\"23510016\"]\n  35 -> 49 [size =\"23510016\"]\n  36 [size=\"71731200\", alpha=\"0.15\", expect_size=\"21519360\"] \n  36 -> 42 [size =\"21519360\"]\n  36 -> 43 [size =\"21519360\"]\n  36 -> 46 [size =\"21519360\"]\n  36 -> 47 [size =\"21519360\"]\n  37 [size=\"149749760\", alpha=\"0.15\", expect_size=\"44924928\"] \n  37 -> 42 [size =\"44924928\"]\n  37 -> 45 [size =\"44924928\"]\n  37 -> 47 [size =\"44924928\"]\n  37 -> 48 [size =\"44924928\"]\n  38 [size=\"63580160\", alpha=\"0.04\", expect_size=\"19074048\"] \n  38 -> 48 [size =\"19074048\"]\n  38 -> 50 [size =\"19074048\"]\n  39 [size=\"120326827\", alpha=\"0.09\", expect_size=\"36098048\"] \n  40 [size=\"51841707\", alpha=\"0.13\", expect_size=\"15552512\"] \n  40 -> 43 [size =\"15552512\"]\n  40 -> 45 [size =\"15552512\"]\n  40 -> 47 [size =\"15552512\"]\n  40 -> 49 [size =\"15552512\"]\n  41 [size=\"172864853\", alpha=\"0.20\", expect_size=\"51859456\"] \n  41 -> 44 [size =\"51859456\"]\n  41 -> 47 [size =\"51859456\"]\n  41 -> 49 [size =\"51859456\"]\n  42 [size=\"41144320\", alpha=\"0.03\", expect_size=\"12343296\"] \n  43 [size=\"167284053\", alpha=\"0.18\", expect_size=\"50185216\"] \n  44 [size=\"90200747\", alpha=\"0.10\", expect_size=\"27060224\"] \n  45 [size=\"29238613\", alpha=\"0.19\", expect_size=\"8771584\"] \n  46 [size=\"17752747\", alpha=\"0.11\", expect_size=\"5325824\"] \n  47 [size=\"138734933\", alpha=\"0.12\", expect_size=\"41620480\"] \n  48 [size=\"97037653\", alpha=\"0.04\", expect_size=\"29111296\"] \n  49 [size=\"127921493\", alpha=\"0.16\", expect_size=\"38376448\"] \n  50 [size=\"43117227\", alpha=\"0.04\", expect_size=\"12935168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.119.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74414080\", alpha=\"0.14\", expect_size=\"29765632\"] \n  1 -> 5 [size =\"29765632\"]\n  2 [size=\"51448320\", alpha=\"0.07\", expect_size=\"20579328\"] \n  3 [size=\"120862720\", alpha=\"0.14\", expect_size=\"48345088\"] \n  3 -> 4 [size =\"48345088\"]\n  4 [size=\"129157120\", alpha=\"0.07\", expect_size=\"51662848\"] \n  4 -> 6 [size =\"51662848\"]\n  4 -> 7 [size =\"51662848\"]\n  5 [size=\"120204800\", alpha=\"0.11\", expect_size=\"48081920\"] \n  6 [size=\"100062720\", alpha=\"0.09\", expect_size=\"40025088\"] \n  6 -> 8 [size =\"40025088\"]\n  7 [size=\"74388480\", alpha=\"0.15\", expect_size=\"29755392\"] \n  7 -> 9 [size =\"29755392\"]\n  7 -> 10 [size =\"29755392\"]\n  8 [size=\"73733120\", alpha=\"0.07\", expect_size=\"29493248\"] \n  8 -> 11 [size =\"29493248\"]\n  8 -> 13 [size =\"29493248\"]\n  9 [size=\"30315520\", alpha=\"0.17\", expect_size=\"12126208\"] \n  9 -> 13 [size =\"12126208\"]\n  10 [size=\"117721600\", alpha=\"0.08\", expect_size=\"47088640\"] \n  10 -> 12 [size =\"47088640\"]\n  11 [size=\"83148800\", alpha=\"0.17\", expect_size=\"33259520\"] \n  12 [size=\"48960000\", alpha=\"0.02\", expect_size=\"19584000\"] \n  12 -> 15 [size =\"19584000\"]\n  13 [size=\"88855040\", alpha=\"0.11\", expect_size=\"35542016\"] \n  13 -> 14 [size =\"35542016\"]\n  13 -> 15 [size =\"35542016\"]\n  13 -> 16 [size =\"35542016\"]\n  14 [size=\"54182400\", alpha=\"0.20\", expect_size=\"21672960\"] \n  14 -> 17 [size =\"21672960\"]\n  14 -> 18 [size =\"21672960\"]\n  15 [size=\"96872960\", alpha=\"0.15\", expect_size=\"38749184\"] \n  15 -> 19 [size =\"38749184\"]\n  16 [size=\"46507520\", alpha=\"0.07\", expect_size=\"18603008\"] \n  17 [size=\"98792960\", alpha=\"0.07\", expect_size=\"39517184\"] \n  17 -> 21 [size =\"39517184\"]\n  18 [size=\"68846080\", alpha=\"0.05\", expect_size=\"27538432\"] \n  18 -> 20 [size =\"27538432\"]\n  19 [size=\"111096320\", alpha=\"0.09\", expect_size=\"44438528\"] \n  19 -> 20 [size =\"44438528\"]\n  19 -> 21 [size =\"44438528\"]\n  20 [size=\"92490240\", alpha=\"0.03\", expect_size=\"36996096\"] \n  20 -> 22 [size =\"36996096\"]\n  21 [size=\"22346240\", alpha=\"0.09\", expect_size=\"8938496\"] \n  21 -> 23 [size =\"8938496\"]\n  22 [size=\"119713280\", alpha=\"0.00\", expect_size=\"47885312\"] \n  22 -> 24 [size =\"47885312\"]\n  22 -> 26 [size =\"47885312\"]\n  23 [size=\"15265280\", alpha=\"0.10\", expect_size=\"6106112\"] \n  23 -> 25 [size =\"6106112\"]\n  24 [size=\"78906880\", alpha=\"0.20\", expect_size=\"31562752\"] \n  24 -> 28 [size =\"31562752\"]\n  24 -> 29 [size =\"31562752\"]\n  25 [size=\"78141440\", alpha=\"0.08\", expect_size=\"31256576\"] \n  25 -> 27 [size =\"31256576\"]\n  26 [size=\"50283520\", alpha=\"0.10\", expect_size=\"20113408\"] \n  26 -> 28 [size =\"20113408\"]\n  27 [size=\"88678400\", alpha=\"0.03\", expect_size=\"35471360\"] \n  27 -> 32 [size =\"35471360\"]\n  28 [size=\"127869440\", alpha=\"0.06\", expect_size=\"51147776\"] \n  28 -> 30 [size =\"51147776\"]\n  29 [size=\"38118400\", alpha=\"0.12\", expect_size=\"15247360\"] \n  29 -> 30 [size =\"15247360\"]\n  29 -> 31 [size =\"15247360\"]\n  30 [size=\"88934400\", alpha=\"0.16\", expect_size=\"35573760\"] \n  30 -> 33 [size =\"35573760\"]\n  31 [size=\"108892160\", alpha=\"0.12\", expect_size=\"43556864\"] \n  32 [size=\"41336320\", alpha=\"0.14\", expect_size=\"16534528\"] \n  32 -> 33 [size =\"16534528\"]\n  32 -> 34 [size =\"16534528\"]\n  32 -> 35 [size =\"16534528\"]\n  33 [size=\"42575360\", alpha=\"0.08\", expect_size=\"17030144\"] \n  33 -> 36 [size =\"17030144\"]\n  33 -> 37 [size =\"17030144\"]\n  34 [size=\"102397440\", alpha=\"0.10\", expect_size=\"40958976\"] \n  35 [size=\"100928000\", alpha=\"0.06\", expect_size=\"40371200\"] \n  36 [size=\"27297280\", alpha=\"0.07\", expect_size=\"10918912\"] \n  36 -> 39 [size =\"10918912\"]\n  37 [size=\"86428160\", alpha=\"0.03\", expect_size=\"34571264\"] \n  37 -> 38 [size =\"34571264\"]\n  38 [size=\"103669760\", alpha=\"0.08\", expect_size=\"41467904\"] \n  38 -> 41 [size =\"41467904\"]\n  39 [size=\"21685760\", alpha=\"0.10\", expect_size=\"8674304\"] \n  39 -> 40 [size =\"8674304\"]\n  39 -> 42 [size =\"8674304\"]\n  40 [size=\"93616640\", alpha=\"0.06\", expect_size=\"37446656\"] \n  40 -> 43 [size =\"37446656\"]\n  40 -> 44 [size =\"37446656\"]\n  41 [size=\"70182400\", alpha=\"0.03\", expect_size=\"28072960\"] \n  41 -> 43 [size =\"28072960\"]\n  41 -> 45 [size =\"28072960\"]\n  42 [size=\"21427200\", alpha=\"0.18\", expect_size=\"8570880\"] \n  42 -> 45 [size =\"8570880\"]\n  43 [size=\"101168640\", alpha=\"0.14\", expect_size=\"40467456\"] \n  43 -> 48 [size =\"40467456\"]\n  44 [size=\"31260160\", alpha=\"0.00\", expect_size=\"12504064\"] \n  44 -> 46 [size =\"12504064\"]\n  44 -> 47 [size =\"12504064\"]\n  45 [size=\"88709120\", alpha=\"0.18\", expect_size=\"35483648\"] \n  45 -> 47 [size =\"35483648\"]\n  46 [size=\"121351680\", alpha=\"0.02\", expect_size=\"48540672\"] \n  46 -> 49 [size =\"48540672\"]\n  46 -> 50 [size =\"48540672\"]\n  47 [size=\"44623360\", alpha=\"0.19\", expect_size=\"17849344\"] \n  48 [size=\"62179840\", alpha=\"0.15\", expect_size=\"24871936\"] \n  49 [size=\"111792640\", alpha=\"0.16\", expect_size=\"44717056\"] \n  50 [size=\"55523840\", alpha=\"0.09\", expect_size=\"22209536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59320320\", alpha=\"0.20\", expect_size=\"17796096\"] \n  1 -> 2 [size =\"17796096\"]\n  2 [size=\"111680853\", alpha=\"0.17\", expect_size=\"33504256\"] \n  2 -> 3 [size =\"33504256\"]\n  2 -> 4 [size =\"33504256\"]\n  3 [size=\"30470827\", alpha=\"0.09\", expect_size=\"9141248\"] \n  3 -> 7 [size =\"9141248\"]\n  4 [size=\"37492053\", alpha=\"0.09\", expect_size=\"11247616\"] \n  4 -> 5 [size =\"11247616\"]\n  4 -> 6 [size =\"11247616\"]\n  5 [size=\"51281920\", alpha=\"0.03\", expect_size=\"15384576\"] \n  6 [size=\"135611733\", alpha=\"0.09\", expect_size=\"40683520\"] \n  6 -> 9 [size =\"40683520\"]\n  6 -> 10 [size =\"40683520\"]\n  7 [size=\"169284267\", alpha=\"0.03\", expect_size=\"50785280\"] \n  7 -> 8 [size =\"50785280\"]\n  7 -> 9 [size =\"50785280\"]\n  8 [size=\"145390933\", alpha=\"0.12\", expect_size=\"43617280\"] \n  9 [size=\"81220267\", alpha=\"0.10\", expect_size=\"24366080\"] \n  9 -> 11 [size =\"24366080\"]\n  10 [size=\"50701653\", alpha=\"0.09\", expect_size=\"15210496\"] \n  11 [size=\"135997440\", alpha=\"0.18\", expect_size=\"40799232\"] \n  11 -> 12 [size =\"40799232\"]\n  11 -> 13 [size =\"40799232\"]\n  12 [size=\"134369280\", alpha=\"0.12\", expect_size=\"40310784\"] \n  12 -> 14 [size =\"40310784\"]\n  13 [size=\"110383787\", alpha=\"0.11\", expect_size=\"33115136\"] \n  13 -> 14 [size =\"33115136\"]\n  13 -> 15 [size =\"33115136\"]\n  14 [size=\"24415573\", alpha=\"0.15\", expect_size=\"7324672\"] \n  14 -> 16 [size =\"7324672\"]\n  14 -> 17 [size =\"7324672\"]\n  15 [size=\"97355093\", alpha=\"0.06\", expect_size=\"29206528\"] \n  15 -> 17 [size =\"29206528\"]\n  16 [size=\"120166400\", alpha=\"0.01\", expect_size=\"36049920\"] \n  16 -> 20 [size =\"36049920\"]\n  17 [size=\"32269653\", alpha=\"0.01\", expect_size=\"9680896\"] \n  17 -> 18 [size =\"9680896\"]\n  17 -> 19 [size =\"9680896\"]\n  17 -> 20 [size =\"9680896\"]\n  18 [size=\"54121813\", alpha=\"0.14\", expect_size=\"16236544\"] \n  18 -> 21 [size =\"16236544\"]\n  18 -> 22 [size =\"16236544\"]\n  18 -> 23 [size =\"16236544\"]\n  18 -> 24 [size =\"16236544\"]\n  19 [size=\"144994987\", alpha=\"0.13\", expect_size=\"43498496\"] \n  19 -> 22 [size =\"43498496\"]\n  20 [size=\"70038187\", alpha=\"0.01\", expect_size=\"21011456\"] \n  20 -> 21 [size =\"21011456\"]\n  20 -> 23 [size =\"21011456\"]\n  21 [size=\"143656960\", alpha=\"0.15\", expect_size=\"43097088\"] \n  21 -> 25 [size =\"43097088\"]\n  22 [size=\"131778560\", alpha=\"0.20\", expect_size=\"39533568\"] \n  22 -> 25 [size =\"39533568\"]\n  22 -> 26 [size =\"39533568\"]\n  22 -> 27 [size =\"39533568\"]\n  23 [size=\"71536640\", alpha=\"0.07\", expect_size=\"21460992\"] \n  23 -> 26 [size =\"21460992\"]\n  23 -> 27 [size =\"21460992\"]\n  24 [size=\"154862933\", alpha=\"0.16\", expect_size=\"46458880\"] \n  24 -> 26 [size =\"46458880\"]\n  24 -> 27 [size =\"46458880\"]\n  25 [size=\"116176213\", alpha=\"0.10\", expect_size=\"34852864\"] \n  25 -> 28 [size =\"34852864\"]\n  25 -> 29 [size =\"34852864\"]\n  26 [size=\"165147307\", alpha=\"0.19\", expect_size=\"49544192\"] \n  26 -> 28 [size =\"49544192\"]\n  26 -> 29 [size =\"49544192\"]\n  27 [size=\"170397013\", alpha=\"0.07\", expect_size=\"51119104\"] \n  27 -> 28 [size =\"51119104\"]\n  28 [size=\"22927360\", alpha=\"0.12\", expect_size=\"6878208\"] \n  28 -> 30 [size =\"6878208\"]\n  28 -> 31 [size =\"6878208\"]\n  28 -> 32 [size =\"6878208\"]\n  29 [size=\"136338773\", alpha=\"0.04\", expect_size=\"40901632\"] \n  29 -> 30 [size =\"40901632\"]\n  30 [size=\"83032747\", alpha=\"0.01\", expect_size=\"24909824\"] \n  30 -> 34 [size =\"24909824\"]\n  31 [size=\"92897280\", alpha=\"0.13\", expect_size=\"27869184\"] \n  31 -> 34 [size =\"27869184\"]\n  32 [size=\"50490027\", alpha=\"0.19\", expect_size=\"15147008\"] \n  32 -> 33 [size =\"15147008\"]\n  32 -> 34 [size =\"15147008\"]\n  33 [size=\"50022400\", alpha=\"0.18\", expect_size=\"15006720\"] \n  33 -> 36 [size =\"15006720\"]\n  33 -> 37 [size =\"15006720\"]\n  34 [size=\"104488960\", alpha=\"0.17\", expect_size=\"31346688\"] \n  34 -> 35 [size =\"31346688\"]\n  34 -> 38 [size =\"31346688\"]\n  35 [size=\"76622507\", alpha=\"0.07\", expect_size=\"22986752\"] \n  35 -> 39 [size =\"22986752\"]\n  36 [size=\"157515093\", alpha=\"0.10\", expect_size=\"47254528\"] \n  36 -> 40 [size =\"47254528\"]\n  36 -> 41 [size =\"47254528\"]\n  37 [size=\"150736213\", alpha=\"0.14\", expect_size=\"45220864\"] \n  37 -> 40 [size =\"45220864\"]\n  38 [size=\"50804053\", alpha=\"0.03\", expect_size=\"15241216\"] \n  39 [size=\"142926507\", alpha=\"0.08\", expect_size=\"42877952\"] \n  39 -> 42 [size =\"42877952\"]\n  39 -> 43 [size =\"42877952\"]\n  40 [size=\"18981547\", alpha=\"0.01\", expect_size=\"5694464\"] \n  40 -> 43 [size =\"5694464\"]\n  41 [size=\"26774187\", alpha=\"0.09\", expect_size=\"8032256\"] \n  42 [size=\"127542613\", alpha=\"0.11\", expect_size=\"38262784\"] \n  42 -> 45 [size =\"38262784\"]\n  43 [size=\"123603627\", alpha=\"0.01\", expect_size=\"37081088\"] \n  43 -> 44 [size =\"37081088\"]\n  43 -> 46 [size =\"37081088\"]\n  43 -> 47 [size =\"37081088\"]\n  44 [size=\"107871573\", alpha=\"0.08\", expect_size=\"32361472\"] \n  44 -> 49 [size =\"32361472\"]\n  44 -> 50 [size =\"32361472\"]\n  45 [size=\"87282347\", alpha=\"0.07\", expect_size=\"26184704\"] \n  45 -> 50 [size =\"26184704\"]\n  45 -> 50 [size =\"26184704\"]\n  46 [size=\"141725013\", alpha=\"0.05\", expect_size=\"42517504\"] \n  46 -> 48 [size =\"42517504\"]\n  47 [size=\"59310080\", alpha=\"0.03\", expect_size=\"17793024\"] \n  47 -> 49 [size =\"17793024\"]\n  48 [size=\"169413973\", alpha=\"0.02\", expect_size=\"50824192\"] \n  49 [size=\"36819627\", alpha=\"0.15\", expect_size=\"11045888\"] \n  50 [size=\"103618560\", alpha=\"0.17\", expect_size=\"31085568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.120.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39876608\", alpha=\"0.13\", expect_size=\"19938304\"] \n  1 -> 40 [size =\"19938304\"]\n  1 -> 42 [size =\"19938304\"]\n  1 -> 44 [size =\"19938304\"]\n  1 -> 46 [size =\"19938304\"]\n  1 -> 48 [size =\"19938304\"]\n  1 -> 49 [size =\"19938304\"]\n  2 [size=\"39360512\", alpha=\"0.01\", expect_size=\"19680256\"] \n  2 -> 40 [size =\"19680256\"]\n  2 -> 42 [size =\"19680256\"]\n  2 -> 44 [size =\"19680256\"]\n  2 -> 46 [size =\"19680256\"]\n  2 -> 49 [size =\"19680256\"]\n  2 -> 50 [size =\"19680256\"]\n  3 [size=\"48891904\", alpha=\"0.08\", expect_size=\"24445952\"] \n  3 -> 39 [size =\"24445952\"]\n  3 -> 42 [size =\"24445952\"]\n  3 -> 43 [size =\"24445952\"]\n  3 -> 46 [size =\"24445952\"]\n  3 -> 50 [size =\"24445952\"]\n  4 [size=\"98035712\", alpha=\"0.18\", expect_size=\"49017856\"] \n  4 -> 39 [size =\"49017856\"]\n  4 -> 41 [size =\"49017856\"]\n  4 -> 42 [size =\"49017856\"]\n  4 -> 43 [size =\"49017856\"]\n  4 -> 48 [size =\"49017856\"]\n  5 [size=\"100874240\", alpha=\"0.08\", expect_size=\"50437120\"] \n  5 -> 42 [size =\"50437120\"]\n  5 -> 43 [size =\"50437120\"]\n  5 -> 45 [size =\"50437120\"]\n  5 -> 48 [size =\"50437120\"]\n  5 -> 48 [size =\"50437120\"]\n  6 [size=\"65267712\", alpha=\"0.17\", expect_size=\"32633856\"] \n  6 -> 39 [size =\"32633856\"]\n  6 -> 42 [size =\"32633856\"]\n  6 -> 47 [size =\"32633856\"]\n  6 -> 49 [size =\"32633856\"]\n  6 -> 50 [size =\"32633856\"]\n  7 [size=\"62543872\", alpha=\"0.14\", expect_size=\"31271936\"] \n  7 -> 40 [size =\"31271936\"]\n  7 -> 43 [size =\"31271936\"]\n  7 -> 44 [size =\"31271936\"]\n  7 -> 46 [size =\"31271936\"]\n  7 -> 48 [size =\"31271936\"]\n  7 -> 49 [size =\"31271936\"]\n  8 [size=\"12011520\", alpha=\"0.07\", expect_size=\"6005760\"] \n  8 -> 42 [size =\"6005760\"]\n  8 -> 43 [size =\"6005760\"]\n  8 -> 44 [size =\"6005760\"]\n  9 [size=\"88483840\", alpha=\"0.13\", expect_size=\"44241920\"] \n  9 -> 39 [size =\"44241920\"]\n  9 -> 40 [size =\"44241920\"]\n  9 -> 42 [size =\"44241920\"]\n  9 -> 43 [size =\"44241920\"]\n  9 -> 46 [size =\"44241920\"]\n  10 [size=\"63401984\", alpha=\"0.06\", expect_size=\"31700992\"] \n  10 -> 39 [size =\"31700992\"]\n  10 -> 42 [size =\"31700992\"]\n  10 -> 42 [size =\"31700992\"]\n  10 -> 46 [size =\"31700992\"]\n  11 [size=\"29315072\", alpha=\"0.05\", expect_size=\"14657536\"] \n  11 -> 39 [size =\"14657536\"]\n  11 -> 42 [size =\"14657536\"]\n  11 -> 46 [size =\"14657536\"]\n  11 -> 49 [size =\"14657536\"]\n  11 -> 50 [size =\"14657536\"]\n  12 [size=\"91138048\", alpha=\"0.15\", expect_size=\"45569024\"] \n  12 -> 42 [size =\"45569024\"]\n  12 -> 42 [size =\"45569024\"]\n  12 -> 49 [size =\"45569024\"]\n  12 -> 50 [size =\"45569024\"]\n  13 [size=\"93978624\", alpha=\"0.08\", expect_size=\"46989312\"] \n  13 -> 38 [size =\"46989312\"]\n  13 -> 42 [size =\"46989312\"]\n  13 -> 43 [size =\"46989312\"]\n  14 [size=\"38594560\", alpha=\"0.17\", expect_size=\"19297280\"] \n  14 -> 38 [size =\"19297280\"]\n  14 -> 39 [size =\"19297280\"]\n  14 -> 42 [size =\"19297280\"]\n  14 -> 43 [size =\"19297280\"]\n  14 -> 46 [size =\"19297280\"]\n  15 [size=\"27367424\", alpha=\"0.10\", expect_size=\"13683712\"] \n  15 -> 39 [size =\"13683712\"]\n  15 -> 39 [size =\"13683712\"]\n  15 -> 43 [size =\"13683712\"]\n  15 -> 43 [size =\"13683712\"]\n  15 -> 45 [size =\"13683712\"]\n  15 -> 46 [size =\"13683712\"]\n  16 [size=\"65259520\", alpha=\"0.11\", expect_size=\"32629760\"] \n  16 -> 38 [size =\"32629760\"]\n  16 -> 39 [size =\"32629760\"]\n  16 -> 40 [size =\"32629760\"]\n  16 -> 43 [size =\"32629760\"]\n  16 -> 46 [size =\"32629760\"]\n  16 -> 46 [size =\"32629760\"]\n  17 [size=\"49518592\", alpha=\"0.17\", expect_size=\"24759296\"] \n  17 -> 43 [size =\"24759296\"]\n  17 -> 46 [size =\"24759296\"]\n  18 [size=\"22947840\", alpha=\"0.03\", expect_size=\"11473920\"] \n  18 -> 39 [size =\"11473920\"]\n  18 -> 44 [size =\"11473920\"]\n  18 -> 46 [size =\"11473920\"]\n  18 -> 49 [size =\"11473920\"]\n  19 [size=\"56676352\", alpha=\"0.15\", expect_size=\"28338176\"] \n  19 -> 38 [size =\"28338176\"]\n  19 -> 39 [size =\"28338176\"]\n  19 -> 43 [size =\"28338176\"]\n  19 -> 46 [size =\"28338176\"]\n  20 [size=\"23750656\", alpha=\"0.16\", expect_size=\"11875328\"] \n  20 -> 38 [size =\"11875328\"]\n  20 -> 39 [size =\"11875328\"]\n  20 -> 43 [size =\"11875328\"]\n  20 -> 44 [size =\"11875328\"]\n  20 -> 46 [size =\"11875328\"]\n  20 -> 48 [size =\"11875328\"]\n  21 [size=\"50950144\", alpha=\"0.04\", expect_size=\"25475072\"] \n  21 -> 38 [size =\"25475072\"]\n  21 -> 39 [size =\"25475072\"]\n  21 -> 44 [size =\"25475072\"]\n  21 -> 46 [size =\"25475072\"]\n  21 -> 46 [size =\"25475072\"]\n  22 [size=\"74835968\", alpha=\"0.17\", expect_size=\"37417984\"] \n  22 -> 38 [size =\"37417984\"]\n  22 -> 43 [size =\"37417984\"]\n  22 -> 45 [size =\"37417984\"]\n  22 -> 46 [size =\"37417984\"]\n  22 -> 49 [size =\"37417984\"]\n  23 [size=\"51425280\", alpha=\"0.19\", expect_size=\"25712640\"] \n  23 -> 38 [size =\"25712640\"]\n  23 -> 43 [size =\"25712640\"]\n  23 -> 45 [size =\"25712640\"]\n  23 -> 46 [size =\"25712640\"]\n  23 -> 48 [size =\"25712640\"]\n  24 [size=\"90019840\", alpha=\"0.20\", expect_size=\"45009920\"] \n  24 -> 38 [size =\"45009920\"]\n  24 -> 39 [size =\"45009920\"]\n  24 -> 40 [size =\"45009920\"]\n  24 -> 42 [size =\"45009920\"]\n  24 -> 43 [size =\"45009920\"]\n  24 -> 44 [size =\"45009920\"]\n  24 -> 45 [size =\"45009920\"]\n  24 -> 46 [size =\"45009920\"]\n  24 -> 48 [size =\"45009920\"]\n  25 [size=\"74479616\", alpha=\"0.19\", expect_size=\"37239808\"] \n  25 -> 39 [size =\"37239808\"]\n  25 -> 40 [size =\"37239808\"]\n  25 -> 42 [size =\"37239808\"]\n  25 -> 46 [size =\"37239808\"]\n  26 [size=\"25937920\", alpha=\"0.10\", expect_size=\"12968960\"] \n  26 -> 39 [size =\"12968960\"]\n  26 -> 46 [size =\"12968960\"]\n  26 -> 47 [size =\"12968960\"]\n  26 -> 48 [size =\"12968960\"]\n  26 -> 49 [size =\"12968960\"]\n  27 [size=\"79454208\", alpha=\"0.13\", expect_size=\"39727104\"] \n  27 -> 38 [size =\"39727104\"]\n  27 -> 39 [size =\"39727104\"]\n  27 -> 42 [size =\"39727104\"]\n  27 -> 45 [size =\"39727104\"]\n  27 -> 46 [size =\"39727104\"]\n  27 -> 48 [size =\"39727104\"]\n  28 [size=\"67315712\", alpha=\"0.15\", expect_size=\"33657856\"] \n  28 -> 39 [size =\"33657856\"]\n  28 -> 43 [size =\"33657856\"]\n  28 -> 46 [size =\"33657856\"]\n  29 [size=\"81620992\", alpha=\"0.14\", expect_size=\"40810496\"] \n  29 -> 38 [size =\"40810496\"]\n  29 -> 43 [size =\"40810496\"]\n  29 -> 44 [size =\"40810496\"]\n  29 -> 46 [size =\"40810496\"]\n  30 [size=\"55951360\", alpha=\"0.04\", expect_size=\"27975680\"] \n  30 -> 39 [size =\"27975680\"]\n  30 -> 46 [size =\"27975680\"]\n  31 [size=\"36806656\", alpha=\"0.19\", expect_size=\"18403328\"] \n  31 -> 46 [size =\"18403328\"]\n  31 -> 46 [size =\"18403328\"]\n  32 [size=\"53579776\", alpha=\"0.10\", expect_size=\"26789888\"] \n  32 -> 40 [size =\"26789888\"]\n  32 -> 42 [size =\"26789888\"]\n  32 -> 43 [size =\"26789888\"]\n  32 -> 46 [size =\"26789888\"]\n  33 [size=\"40775680\", alpha=\"0.19\", expect_size=\"20387840\"] \n  33 -> 38 [size =\"20387840\"]\n  33 -> 46 [size =\"20387840\"]\n  33 -> 50 [size =\"20387840\"]\n  34 [size=\"36800512\", alpha=\"0.14\", expect_size=\"18400256\"] \n  34 -> 38 [size =\"18400256\"]\n  34 -> 39 [size =\"18400256\"]\n  34 -> 43 [size =\"18400256\"]\n  34 -> 48 [size =\"18400256\"]\n  34 -> 50 [size =\"18400256\"]\n  35 [size=\"34834432\", alpha=\"0.13\", expect_size=\"17417216\"] \n  35 -> 39 [size =\"17417216\"]\n  35 -> 42 [size =\"17417216\"]\n  35 -> 43 [size =\"17417216\"]\n  35 -> 44 [size =\"17417216\"]\n  35 -> 48 [size =\"17417216\"]\n  36 [size=\"30892032\", alpha=\"0.03\", expect_size=\"15446016\"] \n  36 -> 39 [size =\"15446016\"]\n  36 -> 42 [size =\"15446016\"]\n  36 -> 43 [size =\"15446016\"]\n  36 -> 48 [size =\"15446016\"]\n  37 [size=\"79759360\", alpha=\"0.02\", expect_size=\"39879680\"] \n  37 -> 38 [size =\"39879680\"]\n  37 -> 43 [size =\"39879680\"]\n  37 -> 46 [size =\"39879680\"]\n  38 [size=\"44750848\", alpha=\"0.03\", expect_size=\"22375424\"] \n  39 [size=\"21766144\", alpha=\"0.14\", expect_size=\"10883072\"] \n  40 [size=\"88803328\", alpha=\"0.07\", expect_size=\"44401664\"] \n  41 [size=\"15663104\", alpha=\"0.10\", expect_size=\"7831552\"] \n  42 [size=\"104294400\", alpha=\"0.06\", expect_size=\"52147200\"] \n  43 [size=\"57862144\", alpha=\"0.10\", expect_size=\"28931072\"] \n  44 [size=\"54233088\", alpha=\"0.12\", expect_size=\"27116544\"] \n  45 [size=\"27142144\", alpha=\"0.07\", expect_size=\"13571072\"] \n  46 [size=\"87844864\", alpha=\"0.05\", expect_size=\"43922432\"] \n  47 [size=\"102371328\", alpha=\"0.18\", expect_size=\"51185664\"] \n  48 [size=\"15386624\", alpha=\"0.03\", expect_size=\"7693312\"] \n  49 [size=\"28096512\", alpha=\"0.03\", expect_size=\"14048256\"] \n  50 [size=\"92319744\", alpha=\"0.13\", expect_size=\"46159872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.121.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125378560\", alpha=\"0.01\", expect_size=\"37613568\"] \n  1 -> 2 [size =\"37613568\"]\n  2 [size=\"67628373\", alpha=\"0.16\", expect_size=\"20288512\"] \n  2 -> 3 [size =\"20288512\"]\n  3 [size=\"40304640\", alpha=\"0.06\", expect_size=\"12091392\"] \n  3 -> 4 [size =\"12091392\"]\n  4 [size=\"95071573\", alpha=\"0.12\", expect_size=\"28521472\"] \n  4 -> 5 [size =\"28521472\"]\n  5 [size=\"127177387\", alpha=\"0.17\", expect_size=\"38153216\"] \n  5 -> 6 [size =\"38153216\"]\n  6 [size=\"18913280\", alpha=\"0.17\", expect_size=\"5673984\"] \n  6 -> 7 [size =\"5673984\"]\n  7 [size=\"24497493\", alpha=\"0.07\", expect_size=\"7349248\"] \n  7 -> 8 [size =\"7349248\"]\n  8 [size=\"160621227\", alpha=\"0.12\", expect_size=\"48186368\"] \n  8 -> 9 [size =\"48186368\"]\n  9 [size=\"18875733\", alpha=\"0.07\", expect_size=\"5662720\"] \n  9 -> 10 [size =\"5662720\"]\n  10 [size=\"124835840\", alpha=\"0.13\", expect_size=\"37450752\"] \n  10 -> 11 [size =\"37450752\"]\n  11 [size=\"69492053\", alpha=\"0.04\", expect_size=\"20847616\"] \n  11 -> 12 [size =\"20847616\"]\n  12 [size=\"80343040\", alpha=\"0.00\", expect_size=\"24102912\"] \n  12 -> 13 [size =\"24102912\"]\n  13 [size=\"51759787\", alpha=\"0.12\", expect_size=\"15527936\"] \n  13 -> 14 [size =\"15527936\"]\n  14 [size=\"98600960\", alpha=\"0.17\", expect_size=\"29580288\"] \n  14 -> 15 [size =\"29580288\"]\n  15 [size=\"37853867\", alpha=\"0.16\", expect_size=\"11356160\"] \n  15 -> 16 [size =\"11356160\"]\n  16 [size=\"171492693\", alpha=\"0.09\", expect_size=\"51447808\"] \n  16 -> 17 [size =\"51447808\"]\n  17 [size=\"145861973\", alpha=\"0.18\", expect_size=\"43758592\"] \n  17 -> 18 [size =\"43758592\"]\n  18 [size=\"43151360\", alpha=\"0.13\", expect_size=\"12945408\"] \n  18 -> 19 [size =\"12945408\"]\n  19 [size=\"139748693\", alpha=\"0.02\", expect_size=\"41924608\"] \n  19 -> 20 [size =\"41924608\"]\n  20 [size=\"34225493\", alpha=\"0.12\", expect_size=\"10267648\"] \n  20 -> 21 [size =\"10267648\"]\n  21 [size=\"138222933\", alpha=\"0.16\", expect_size=\"41466880\"] \n  21 -> 22 [size =\"41466880\"]\n  22 [size=\"169598293\", alpha=\"0.06\", expect_size=\"50879488\"] \n  22 -> 23 [size =\"50879488\"]\n  23 [size=\"170827093\", alpha=\"0.19\", expect_size=\"51248128\"] \n  23 -> 24 [size =\"51248128\"]\n  24 [size=\"104144213\", alpha=\"0.02\", expect_size=\"31243264\"] \n  24 -> 25 [size =\"31243264\"]\n  25 [size=\"80411307\", alpha=\"0.19\", expect_size=\"24123392\"] \n  25 -> 26 [size =\"24123392\"]\n  26 [size=\"48162133\", alpha=\"0.16\", expect_size=\"14448640\"] \n  26 -> 27 [size =\"14448640\"]\n  27 [size=\"117411840\", alpha=\"0.14\", expect_size=\"35223552\"] \n  27 -> 28 [size =\"35223552\"]\n  28 [size=\"103130453\", alpha=\"0.10\", expect_size=\"30939136\"] \n  28 -> 29 [size =\"30939136\"]\n  29 [size=\"46274560\", alpha=\"0.06\", expect_size=\"13882368\"] \n  29 -> 30 [size =\"13882368\"]\n  30 [size=\"64890880\", alpha=\"0.16\", expect_size=\"19467264\"] \n  30 -> 31 [size =\"19467264\"]\n  31 [size=\"162382507\", alpha=\"0.13\", expect_size=\"48714752\"] \n  31 -> 32 [size =\"48714752\"]\n  32 [size=\"132082347\", alpha=\"0.18\", expect_size=\"39624704\"] \n  32 -> 33 [size =\"39624704\"]\n  33 [size=\"24142507\", alpha=\"0.06\", expect_size=\"7242752\"] \n  33 -> 34 [size =\"7242752\"]\n  34 [size=\"18681173\", alpha=\"0.06\", expect_size=\"5604352\"] \n  34 -> 35 [size =\"5604352\"]\n  35 [size=\"36010667\", alpha=\"0.08\", expect_size=\"10803200\"] \n  35 -> 36 [size =\"10803200\"]\n  36 [size=\"28549120\", alpha=\"0.09\", expect_size=\"8564736\"] \n  36 -> 37 [size =\"8564736\"]\n  37 [size=\"155016533\", alpha=\"0.07\", expect_size=\"46504960\"] \n  37 -> 38 [size =\"46504960\"]\n  38 [size=\"107864747\", alpha=\"0.08\", expect_size=\"32359424\"] \n  38 -> 39 [size =\"32359424\"]\n  39 [size=\"30245547\", alpha=\"0.04\", expect_size=\"9073664\"] \n  39 -> 40 [size =\"9073664\"]\n  40 [size=\"80844800\", alpha=\"0.03\", expect_size=\"24253440\"] \n  40 -> 41 [size =\"24253440\"]\n  41 [size=\"52452693\", alpha=\"0.17\", expect_size=\"15735808\"] \n  41 -> 42 [size =\"15735808\"]\n  42 [size=\"154371413\", alpha=\"0.10\", expect_size=\"46311424\"] \n  42 -> 43 [size =\"46311424\"]\n  43 [size=\"134894933\", alpha=\"0.03\", expect_size=\"40468480\"] \n  43 -> 44 [size =\"40468480\"]\n  44 [size=\"28310187\", alpha=\"0.07\", expect_size=\"8493056\"] \n  44 -> 45 [size =\"8493056\"]\n  45 [size=\"73031680\", alpha=\"0.19\", expect_size=\"21909504\"] \n  45 -> 46 [size =\"21909504\"]\n  46 [size=\"132147200\", alpha=\"0.15\", expect_size=\"39644160\"] \n  46 -> 47 [size =\"39644160\"]\n  47 [size=\"45110613\", alpha=\"0.03\", expect_size=\"13533184\"] \n  47 -> 48 [size =\"13533184\"]\n  48 [size=\"97587200\", alpha=\"0.03\", expect_size=\"29276160\"] \n  48 -> 49 [size =\"29276160\"]\n  49 [size=\"157972480\", alpha=\"0.06\", expect_size=\"47391744\"] \n  49 -> 50 [size =\"47391744\"]\n  50 [size=\"33969493\", alpha=\"0.15\", expect_size=\"10190848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.122.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98920448\", alpha=\"0.15\", expect_size=\"49460224\"] \n  1 -> 2 [size =\"49460224\"]\n  2 [size=\"55926784\", alpha=\"0.10\", expect_size=\"27963392\"] \n  2 -> 3 [size =\"27963392\"]\n  3 [size=\"83505152\", alpha=\"0.17\", expect_size=\"41752576\"] \n  3 -> 4 [size =\"41752576\"]\n  4 [size=\"87500800\", alpha=\"0.09\", expect_size=\"43750400\"] \n  4 -> 5 [size =\"43750400\"]\n  5 [size=\"51361792\", alpha=\"0.10\", expect_size=\"25680896\"] \n  5 -> 6 [size =\"25680896\"]\n  6 [size=\"38848512\", alpha=\"0.06\", expect_size=\"19424256\"] \n  6 -> 7 [size =\"19424256\"]\n  7 [size=\"21520384\", alpha=\"0.15\", expect_size=\"10760192\"] \n  7 -> 8 [size =\"10760192\"]\n  8 [size=\"51673088\", alpha=\"0.15\", expect_size=\"25836544\"] \n  8 -> 9 [size =\"25836544\"]\n  9 [size=\"85659648\", alpha=\"0.14\", expect_size=\"42829824\"] \n  9 -> 10 [size =\"42829824\"]\n  10 [size=\"25253888\", alpha=\"0.16\", expect_size=\"12626944\"] \n  10 -> 11 [size =\"12626944\"]\n  11 [size=\"93933568\", alpha=\"0.15\", expect_size=\"46966784\"] \n  11 -> 12 [size =\"46966784\"]\n  12 [size=\"71800832\", alpha=\"0.04\", expect_size=\"35900416\"] \n  12 -> 13 [size =\"35900416\"]\n  13 [size=\"23113728\", alpha=\"0.07\", expect_size=\"11556864\"] \n  13 -> 14 [size =\"11556864\"]\n  14 [size=\"10534912\", alpha=\"0.07\", expect_size=\"5267456\"] \n  14 -> 15 [size =\"5267456\"]\n  15 [size=\"51030016\", alpha=\"0.00\", expect_size=\"25515008\"] \n  15 -> 16 [size =\"25515008\"]\n  16 [size=\"100038656\", alpha=\"0.04\", expect_size=\"50019328\"] \n  16 -> 17 [size =\"50019328\"]\n  17 [size=\"34514944\", alpha=\"0.02\", expect_size=\"17257472\"] \n  17 -> 18 [size =\"17257472\"]\n  18 [size=\"103323648\", alpha=\"0.05\", expect_size=\"51661824\"] \n  18 -> 19 [size =\"51661824\"]\n  19 [size=\"78563328\", alpha=\"0.04\", expect_size=\"39281664\"] \n  19 -> 20 [size =\"39281664\"]\n  20 [size=\"48539648\", alpha=\"0.11\", expect_size=\"24269824\"] \n  20 -> 21 [size =\"24269824\"]\n  21 [size=\"27518976\", alpha=\"0.18\", expect_size=\"13759488\"] \n  21 -> 22 [size =\"13759488\"]\n  22 [size=\"96391168\", alpha=\"0.14\", expect_size=\"48195584\"] \n  22 -> 23 [size =\"48195584\"]\n  23 [size=\"21075968\", alpha=\"0.05\", expect_size=\"10537984\"] \n  23 -> 24 [size =\"10537984\"]\n  24 [size=\"55226368\", alpha=\"0.13\", expect_size=\"27613184\"] \n  24 -> 25 [size =\"27613184\"]\n  25 [size=\"89581568\", alpha=\"0.10\", expect_size=\"44790784\"] \n  25 -> 26 [size =\"44790784\"]\n  26 [size=\"89964544\", alpha=\"0.12\", expect_size=\"44982272\"] \n  26 -> 27 [size =\"44982272\"]\n  27 [size=\"12433408\", alpha=\"0.17\", expect_size=\"6216704\"] \n  27 -> 28 [size =\"6216704\"]\n  28 [size=\"22212608\", alpha=\"0.11\", expect_size=\"11106304\"] \n  28 -> 29 [size =\"11106304\"]\n  29 [size=\"44662784\", alpha=\"0.00\", expect_size=\"22331392\"] \n  29 -> 30 [size =\"22331392\"]\n  30 [size=\"61474816\", alpha=\"0.13\", expect_size=\"30737408\"] \n  30 -> 31 [size =\"30737408\"]\n  31 [size=\"20193280\", alpha=\"0.03\", expect_size=\"10096640\"] \n  31 -> 32 [size =\"10096640\"]\n  32 [size=\"103624704\", alpha=\"0.07\", expect_size=\"51812352\"] \n  32 -> 33 [size =\"51812352\"]\n  33 [size=\"74098688\", alpha=\"0.13\", expect_size=\"37049344\"] \n  33 -> 34 [size =\"37049344\"]\n  34 [size=\"99004416\", alpha=\"0.19\", expect_size=\"49502208\"] \n  34 -> 35 [size =\"49502208\"]\n  35 [size=\"66613248\", alpha=\"0.13\", expect_size=\"33306624\"] \n  35 -> 36 [size =\"33306624\"]\n  36 [size=\"17805312\", alpha=\"0.07\", expect_size=\"8902656\"] \n  36 -> 37 [size =\"8902656\"]\n  37 [size=\"75313152\", alpha=\"0.05\", expect_size=\"37656576\"] \n  37 -> 38 [size =\"37656576\"]\n  38 [size=\"61429760\", alpha=\"0.04\", expect_size=\"30714880\"] \n  38 -> 39 [size =\"30714880\"]\n  39 [size=\"17342464\", alpha=\"0.17\", expect_size=\"8671232\"] \n  39 -> 40 [size =\"8671232\"]\n  40 [size=\"18227200\", alpha=\"0.18\", expect_size=\"9113600\"] \n  40 -> 41 [size =\"9113600\"]\n  41 [size=\"78850048\", alpha=\"0.02\", expect_size=\"39425024\"] \n  41 -> 42 [size =\"39425024\"]\n  42 [size=\"93919232\", alpha=\"0.05\", expect_size=\"46959616\"] \n  42 -> 43 [size =\"46959616\"]\n  43 [size=\"30377984\", alpha=\"0.10\", expect_size=\"15188992\"] \n  43 -> 44 [size =\"15188992\"]\n  44 [size=\"89602048\", alpha=\"0.04\", expect_size=\"44801024\"] \n  44 -> 45 [size =\"44801024\"]\n  45 [size=\"82892800\", alpha=\"0.15\", expect_size=\"41446400\"] \n  45 -> 46 [size =\"41446400\"]\n  46 [size=\"50798592\", alpha=\"0.03\", expect_size=\"25399296\"] \n  46 -> 47 [size =\"25399296\"]\n  47 [size=\"82874368\", alpha=\"0.12\", expect_size=\"41437184\"] \n  47 -> 48 [size =\"41437184\"]\n  48 [size=\"14405632\", alpha=\"0.02\", expect_size=\"7202816\"] \n  48 -> 49 [size =\"7202816\"]\n  49 [size=\"32602112\", alpha=\"0.01\", expect_size=\"16301056\"] \n  49 -> 50 [size =\"16301056\"]\n  50 [size=\"16799744\", alpha=\"0.10\", expect_size=\"8399872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.123.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102284800\", alpha=\"0.13\", expect_size=\"40913920\"] \n  1 -> 22 [size =\"40913920\"]\n  1 -> 24 [size =\"40913920\"]\n  1 -> 25 [size =\"40913920\"]\n  2 [size=\"107054080\", alpha=\"0.03\", expect_size=\"42821632\"] \n  2 -> 21 [size =\"42821632\"]\n  2 -> 26 [size =\"42821632\"]\n  3 [size=\"68021760\", alpha=\"0.17\", expect_size=\"27208704\"] \n  3 -> 21 [size =\"27208704\"]\n  3 -> 27 [size =\"27208704\"]\n  3 -> 28 [size =\"27208704\"]\n  4 [size=\"94108160\", alpha=\"0.08\", expect_size=\"37643264\"] \n  4 -> 21 [size =\"37643264\"]\n  5 [size=\"70376960\", alpha=\"0.05\", expect_size=\"28150784\"] \n  5 -> 21 [size =\"28150784\"]\n  5 -> 22 [size =\"28150784\"]\n  5 -> 24 [size =\"28150784\"]\n  5 -> 28 [size =\"28150784\"]\n  6 [size=\"48256000\", alpha=\"0.03\", expect_size=\"19302400\"] \n  6 -> 22 [size =\"19302400\"]\n  6 -> 24 [size =\"19302400\"]\n  6 -> 28 [size =\"19302400\"]\n  7 [size=\"122616320\", alpha=\"0.13\", expect_size=\"49046528\"] \n  7 -> 23 [size =\"49046528\"]\n  8 [size=\"98688000\", alpha=\"0.15\", expect_size=\"39475200\"] \n  8 -> 26 [size =\"39475200\"]\n  8 -> 27 [size =\"39475200\"]\n  9 [size=\"36428800\", alpha=\"0.15\", expect_size=\"14571520\"] \n  9 -> 20 [size =\"14571520\"]\n  9 -> 23 [size =\"14571520\"]\n  9 -> 27 [size =\"14571520\"]\n  10 [size=\"129185280\", alpha=\"0.18\", expect_size=\"51674112\"] \n  10 -> 20 [size =\"51674112\"]\n  10 -> 21 [size =\"51674112\"]\n  10 -> 22 [size =\"51674112\"]\n  10 -> 24 [size =\"51674112\"]\n  10 -> 28 [size =\"51674112\"]\n  11 [size=\"115543040\", alpha=\"0.10\", expect_size=\"46217216\"] \n  11 -> 22 [size =\"46217216\"]\n  11 -> 25 [size =\"46217216\"]\n  12 [size=\"75868160\", alpha=\"0.15\", expect_size=\"30347264\"] \n  12 -> 21 [size =\"30347264\"]\n  12 -> 22 [size =\"30347264\"]\n  12 -> 23 [size =\"30347264\"]\n  12 -> 28 [size =\"30347264\"]\n  13 [size=\"95168000\", alpha=\"0.13\", expect_size=\"38067200\"] \n  13 -> 21 [size =\"38067200\"]\n  13 -> 23 [size =\"38067200\"]\n  13 -> 23 [size =\"38067200\"]\n  13 -> 28 [size =\"38067200\"]\n  14 [size=\"75422720\", alpha=\"0.11\", expect_size=\"30169088\"] \n  14 -> 20 [size =\"30169088\"]\n  14 -> 21 [size =\"30169088\"]\n  14 -> 22 [size =\"30169088\"]\n  14 -> 27 [size =\"30169088\"]\n  14 -> 28 [size =\"30169088\"]\n  15 [size=\"123345920\", alpha=\"0.14\", expect_size=\"49338368\"] \n  15 -> 20 [size =\"49338368\"]\n  15 -> 22 [size =\"49338368\"]\n  15 -> 22 [size =\"49338368\"]\n  15 -> 23 [size =\"49338368\"]\n  15 -> 24 [size =\"49338368\"]\n  15 -> 27 [size =\"49338368\"]\n  15 -> 28 [size =\"49338368\"]\n  16 [size=\"33556480\", alpha=\"0.04\", expect_size=\"13422592\"] \n  16 -> 20 [size =\"13422592\"]\n  16 -> 22 [size =\"13422592\"]\n  16 -> 27 [size =\"13422592\"]\n  16 -> 28 [size =\"13422592\"]\n  17 [size=\"48604160\", alpha=\"0.09\", expect_size=\"19441664\"] \n  17 -> 21 [size =\"19441664\"]\n  17 -> 22 [size =\"19441664\"]\n  17 -> 27 [size =\"19441664\"]\n  17 -> 28 [size =\"19441664\"]\n  18 [size=\"125895680\", alpha=\"0.10\", expect_size=\"50358272\"] \n  18 -> 20 [size =\"50358272\"]\n  18 -> 21 [size =\"50358272\"]\n  18 -> 27 [size =\"50358272\"]\n  19 [size=\"95951360\", alpha=\"0.09\", expect_size=\"38380544\"] \n  19 -> 22 [size =\"38380544\"]\n  19 -> 23 [size =\"38380544\"]\n  19 -> 24 [size =\"38380544\"]\n  19 -> 28 [size =\"38380544\"]\n  20 [size=\"67758080\", alpha=\"0.10\", expect_size=\"27103232\"] \n  20 -> 32 [size =\"27103232\"]\n  20 -> 33 [size =\"27103232\"]\n  20 -> 33 [size =\"27103232\"]\n  20 -> 36 [size =\"27103232\"]\n  21 [size=\"54400000\", alpha=\"0.06\", expect_size=\"21760000\"] \n  21 -> 30 [size =\"21760000\"]\n  21 -> 33 [size =\"21760000\"]\n  21 -> 34 [size =\"21760000\"]\n  21 -> 36 [size =\"21760000\"]\n  21 -> 37 [size =\"21760000\"]\n  22 [size=\"115223040\", alpha=\"0.18\", expect_size=\"46089216\"] \n  22 -> 29 [size =\"46089216\"]\n  22 -> 30 [size =\"46089216\"]\n  22 -> 32 [size =\"46089216\"]\n  22 -> 33 [size =\"46089216\"]\n  22 -> 34 [size =\"46089216\"]\n  23 [size=\"86067200\", alpha=\"0.19\", expect_size=\"34426880\"] \n  23 -> 29 [size =\"34426880\"]\n  23 -> 32 [size =\"34426880\"]\n  23 -> 33 [size =\"34426880\"]\n  23 -> 35 [size =\"34426880\"]\n  24 [size=\"44613120\", alpha=\"0.14\", expect_size=\"17845248\"] \n  24 -> 30 [size =\"17845248\"]\n  24 -> 32 [size =\"17845248\"]\n  24 -> 36 [size =\"17845248\"]\n  25 [size=\"109693440\", alpha=\"0.19\", expect_size=\"43877376\"] \n  25 -> 30 [size =\"43877376\"]\n  25 -> 35 [size =\"43877376\"]\n  26 [size=\"75765760\", alpha=\"0.09\", expect_size=\"30306304\"] \n  26 -> 30 [size =\"30306304\"]\n  26 -> 31 [size =\"30306304\"]\n  26 -> 32 [size =\"30306304\"]\n  26 -> 34 [size =\"30306304\"]\n  26 -> 35 [size =\"30306304\"]\n  27 [size=\"98350080\", alpha=\"0.18\", expect_size=\"39340032\"] \n  27 -> 30 [size =\"39340032\"]\n  27 -> 31 [size =\"39340032\"]\n  27 -> 32 [size =\"39340032\"]\n  27 -> 35 [size =\"39340032\"]\n  28 [size=\"30630400\", alpha=\"0.02\", expect_size=\"12252160\"] \n  28 -> 29 [size =\"12252160\"]\n  28 -> 32 [size =\"12252160\"]\n  28 -> 33 [size =\"12252160\"]\n  28 -> 37 [size =\"12252160\"]\n  29 [size=\"89692160\", alpha=\"0.10\", expect_size=\"35876864\"] \n  29 -> 38 [size =\"35876864\"]\n  29 -> 39 [size =\"35876864\"]\n  29 -> 43 [size =\"35876864\"]\n  29 -> 48 [size =\"35876864\"]\n  30 [size=\"22648320\", alpha=\"0.17\", expect_size=\"9059328\"] \n  30 -> 38 [size =\"9059328\"]\n  30 -> 42 [size =\"9059328\"]\n  30 -> 43 [size =\"9059328\"]\n  30 -> 44 [size =\"9059328\"]\n  30 -> 45 [size =\"9059328\"]\n  30 -> 46 [size =\"9059328\"]\n  30 -> 48 [size =\"9059328\"]\n  30 -> 49 [size =\"9059328\"]\n  31 [size=\"78937600\", alpha=\"0.02\", expect_size=\"31575040\"] \n  31 -> 39 [size =\"31575040\"]\n  31 -> 40 [size =\"31575040\"]\n  31 -> 46 [size =\"31575040\"]\n  31 -> 47 [size =\"31575040\"]\n  31 -> 49 [size =\"31575040\"]\n  32 [size=\"111802880\", alpha=\"0.17\", expect_size=\"44721152\"] \n  32 -> 38 [size =\"44721152\"]\n  32 -> 39 [size =\"44721152\"]\n  32 -> 40 [size =\"44721152\"]\n  32 -> 42 [size =\"44721152\"]\n  32 -> 44 [size =\"44721152\"]\n  32 -> 46 [size =\"44721152\"]\n  32 -> 47 [size =\"44721152\"]\n  32 -> 48 [size =\"44721152\"]\n  32 -> 49 [size =\"44721152\"]\n  33 [size=\"97233920\", alpha=\"0.07\", expect_size=\"38893568\"] \n  33 -> 42 [size =\"38893568\"]\n  33 -> 46 [size =\"38893568\"]\n  33 -> 47 [size =\"38893568\"]\n  33 -> 49 [size =\"38893568\"]\n  34 [size=\"90142720\", alpha=\"0.07\", expect_size=\"36057088\"] \n  34 -> 38 [size =\"36057088\"]\n  34 -> 46 [size =\"36057088\"]\n  34 -> 47 [size =\"36057088\"]\n  34 -> 50 [size =\"36057088\"]\n  35 [size=\"53568000\", alpha=\"0.05\", expect_size=\"21427200\"] \n  35 -> 38 [size =\"21427200\"]\n  35 -> 40 [size =\"21427200\"]\n  35 -> 41 [size =\"21427200\"]\n  35 -> 48 [size =\"21427200\"]\n  35 -> 49 [size =\"21427200\"]\n  36 [size=\"44782080\", alpha=\"0.07\", expect_size=\"17912832\"] \n  36 -> 38 [size =\"17912832\"]\n  36 -> 41 [size =\"17912832\"]\n  36 -> 45 [size =\"17912832\"]\n  36 -> 50 [size =\"17912832\"]\n  37 [size=\"98936320\", alpha=\"0.15\", expect_size=\"39574528\"] \n  37 -> 38 [size =\"39574528\"]\n  37 -> 41 [size =\"39574528\"]\n  37 -> 44 [size =\"39574528\"]\n  37 -> 48 [size =\"39574528\"]\n  37 -> 49 [size =\"39574528\"]\n  38 [size=\"89612800\", alpha=\"0.02\", expect_size=\"35845120\"] \n  39 [size=\"102392320\", alpha=\"0.04\", expect_size=\"40956928\"] \n  40 [size=\"42631680\", alpha=\"0.14\", expect_size=\"17052672\"] \n  41 [size=\"26411520\", alpha=\"0.12\", expect_size=\"10564608\"] \n  42 [size=\"38202880\", alpha=\"0.06\", expect_size=\"15281152\"] \n  43 [size=\"22807040\", alpha=\"0.13\", expect_size=\"9122816\"] \n  44 [size=\"62282240\", alpha=\"0.06\", expect_size=\"24912896\"] \n  45 [size=\"100981760\", alpha=\"0.15\", expect_size=\"40392704\"] \n  46 [size=\"13219840\", alpha=\"0.14\", expect_size=\"5287936\"] \n  47 [size=\"55372800\", alpha=\"0.08\", expect_size=\"22149120\"] \n  48 [size=\"27015680\", alpha=\"0.05\", expect_size=\"10806272\"] \n  49 [size=\"40934400\", alpha=\"0.15\", expect_size=\"16373760\"] \n  50 [size=\"62010880\", alpha=\"0.07\", expect_size=\"24804352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.124.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47160320\", alpha=\"0.20\", expect_size=\"18864128\"] \n  1 -> 2 [size =\"18864128\"]\n  2 [size=\"87155200\", alpha=\"0.02\", expect_size=\"34862080\"] \n  2 -> 3 [size =\"34862080\"]\n  3 [size=\"50600960\", alpha=\"0.15\", expect_size=\"20240384\"] \n  3 -> 4 [size =\"20240384\"]\n  4 [size=\"96601600\", alpha=\"0.05\", expect_size=\"38640640\"] \n  4 -> 5 [size =\"38640640\"]\n  5 [size=\"25169920\", alpha=\"0.10\", expect_size=\"10067968\"] \n  5 -> 6 [size =\"10067968\"]\n  6 [size=\"74821120\", alpha=\"0.17\", expect_size=\"29928448\"] \n  6 -> 7 [size =\"29928448\"]\n  7 [size=\"52277760\", alpha=\"0.10\", expect_size=\"20911104\"] \n  7 -> 8 [size =\"20911104\"]\n  8 [size=\"128343040\", alpha=\"0.08\", expect_size=\"51337216\"] \n  8 -> 9 [size =\"51337216\"]\n  9 [size=\"102840320\", alpha=\"0.14\", expect_size=\"41136128\"] \n  9 -> 10 [size =\"41136128\"]\n  10 [size=\"57315840\", alpha=\"0.03\", expect_size=\"22926336\"] \n  10 -> 11 [size =\"22926336\"]\n  11 [size=\"27289600\", alpha=\"0.06\", expect_size=\"10915840\"] \n  11 -> 12 [size =\"10915840\"]\n  12 [size=\"26007040\", alpha=\"0.18\", expect_size=\"10402816\"] \n  12 -> 13 [size =\"10402816\"]\n  13 [size=\"39354880\", alpha=\"0.20\", expect_size=\"15741952\"] \n  13 -> 14 [size =\"15741952\"]\n  14 [size=\"129267200\", alpha=\"0.13\", expect_size=\"51706880\"] \n  14 -> 15 [size =\"51706880\"]\n  15 [size=\"43141120\", alpha=\"0.07\", expect_size=\"17256448\"] \n  15 -> 16 [size =\"17256448\"]\n  16 [size=\"103526400\", alpha=\"0.14\", expect_size=\"41410560\"] \n  16 -> 17 [size =\"41410560\"]\n  17 [size=\"83264000\", alpha=\"0.11\", expect_size=\"33305600\"] \n  17 -> 18 [size =\"33305600\"]\n  18 [size=\"23974400\", alpha=\"0.19\", expect_size=\"9589760\"] \n  18 -> 19 [size =\"9589760\"]\n  19 [size=\"70154240\", alpha=\"0.03\", expect_size=\"28061696\"] \n  19 -> 20 [size =\"28061696\"]\n  20 [size=\"32204800\", alpha=\"0.20\", expect_size=\"12881920\"] \n  20 -> 21 [size =\"12881920\"]\n  21 [size=\"51287040\", alpha=\"0.03\", expect_size=\"20514816\"] \n  21 -> 22 [size =\"20514816\"]\n  22 [size=\"84044800\", alpha=\"0.18\", expect_size=\"33617920\"] \n  22 -> 23 [size =\"33617920\"]\n  23 [size=\"69934080\", alpha=\"0.00\", expect_size=\"27973632\"] \n  23 -> 24 [size =\"27973632\"]\n  24 [size=\"68628480\", alpha=\"0.16\", expect_size=\"27451392\"] \n  24 -> 25 [size =\"27451392\"]\n  25 [size=\"29639680\", alpha=\"0.14\", expect_size=\"11855872\"] \n  25 -> 26 [size =\"11855872\"]\n  26 [size=\"72647680\", alpha=\"0.02\", expect_size=\"29059072\"] \n  26 -> 27 [size =\"29059072\"]\n  27 [size=\"37306880\", alpha=\"0.18\", expect_size=\"14922752\"] \n  27 -> 28 [size =\"14922752\"]\n  28 [size=\"104064000\", alpha=\"0.12\", expect_size=\"41625600\"] \n  28 -> 29 [size =\"41625600\"]\n  29 [size=\"97971200\", alpha=\"0.02\", expect_size=\"39188480\"] \n  29 -> 30 [size =\"39188480\"]\n  30 [size=\"114618880\", alpha=\"0.19\", expect_size=\"45847552\"] \n  30 -> 31 [size =\"45847552\"]\n  31 [size=\"114216960\", alpha=\"0.19\", expect_size=\"45686784\"] \n  31 -> 32 [size =\"45686784\"]\n  32 [size=\"130818560\", alpha=\"0.01\", expect_size=\"52327424\"] \n  32 -> 33 [size =\"52327424\"]\n  33 [size=\"120512000\", alpha=\"0.07\", expect_size=\"48204800\"] \n  33 -> 34 [size =\"48204800\"]\n  34 [size=\"120788480\", alpha=\"0.14\", expect_size=\"48315392\"] \n  34 -> 35 [size =\"48315392\"]\n  35 [size=\"97177600\", alpha=\"0.05\", expect_size=\"38871040\"] \n  35 -> 36 [size =\"38871040\"]\n  36 [size=\"61744640\", alpha=\"0.11\", expect_size=\"24697856\"] \n  36 -> 37 [size =\"24697856\"]\n  37 [size=\"76206080\", alpha=\"0.10\", expect_size=\"30482432\"] \n  37 -> 38 [size =\"30482432\"]\n  38 [size=\"61767680\", alpha=\"0.10\", expect_size=\"24707072\"] \n  38 -> 39 [size =\"24707072\"]\n  39 [size=\"15700480\", alpha=\"0.20\", expect_size=\"6280192\"] \n  39 -> 40 [size =\"6280192\"]\n  40 [size=\"27740160\", alpha=\"0.13\", expect_size=\"11096064\"] \n  40 -> 41 [size =\"11096064\"]\n  41 [size=\"24133120\", alpha=\"0.13\", expect_size=\"9653248\"] \n  41 -> 42 [size =\"9653248\"]\n  42 [size=\"19061760\", alpha=\"0.04\", expect_size=\"7624704\"] \n  42 -> 43 [size =\"7624704\"]\n  43 [size=\"25431040\", alpha=\"0.06\", expect_size=\"10172416\"] \n  43 -> 44 [size =\"10172416\"]\n  44 [size=\"69483520\", alpha=\"0.16\", expect_size=\"27793408\"] \n  44 -> 45 [size =\"27793408\"]\n  45 [size=\"31454720\", alpha=\"0.10\", expect_size=\"12581888\"] \n  45 -> 46 [size =\"12581888\"]\n  46 [size=\"59343360\", alpha=\"0.13\", expect_size=\"23737344\"] \n  46 -> 47 [size =\"23737344\"]\n  47 [size=\"125603840\", alpha=\"0.01\", expect_size=\"50241536\"] \n  47 -> 48 [size =\"50241536\"]\n  48 [size=\"64468480\", alpha=\"0.04\", expect_size=\"25787392\"] \n  48 -> 49 [size =\"25787392\"]\n  49 [size=\"122731520\", alpha=\"0.02\", expect_size=\"49092608\"] \n  49 -> 50 [size =\"49092608\"]\n  50 [size=\"121512960\", alpha=\"0.16\", expect_size=\"48605184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.125.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57206784\", alpha=\"0.02\", expect_size=\"28603392\"] \n  1 -> 13 [size =\"28603392\"]\n  1 -> 14 [size =\"28603392\"]\n  1 -> 17 [size =\"28603392\"]\n  1 -> 25 [size =\"28603392\"]\n  1 -> 26 [size =\"28603392\"]\n  1 -> 28 [size =\"28603392\"]\n  2 [size=\"55769088\", alpha=\"0.00\", expect_size=\"27884544\"] \n  2 -> 14 [size =\"27884544\"]\n  2 -> 15 [size =\"27884544\"]\n  2 -> 18 [size =\"27884544\"]\n  2 -> 19 [size =\"27884544\"]\n  2 -> 24 [size =\"27884544\"]\n  2 -> 25 [size =\"27884544\"]\n  2 -> 28 [size =\"27884544\"]\n  3 [size=\"58343424\", alpha=\"0.09\", expect_size=\"29171712\"] \n  3 -> 13 [size =\"29171712\"]\n  3 -> 15 [size =\"29171712\"]\n  3 -> 16 [size =\"29171712\"]\n  3 -> 18 [size =\"29171712\"]\n  3 -> 25 [size =\"29171712\"]\n  3 -> 28 [size =\"29171712\"]\n  4 [size=\"95225856\", alpha=\"0.05\", expect_size=\"47612928\"] \n  4 -> 13 [size =\"47612928\"]\n  4 -> 15 [size =\"47612928\"]\n  4 -> 18 [size =\"47612928\"]\n  4 -> 18 [size =\"47612928\"]\n  4 -> 19 [size =\"47612928\"]\n  4 -> 20 [size =\"47612928\"]\n  4 -> 22 [size =\"47612928\"]\n  4 -> 24 [size =\"47612928\"]\n  4 -> 29 [size =\"47612928\"]\n  5 [size=\"30926848\", alpha=\"0.10\", expect_size=\"15463424\"] \n  5 -> 13 [size =\"15463424\"]\n  5 -> 14 [size =\"15463424\"]\n  5 -> 15 [size =\"15463424\"]\n  5 -> 18 [size =\"15463424\"]\n  5 -> 19 [size =\"15463424\"]\n  5 -> 20 [size =\"15463424\"]\n  5 -> 23 [size =\"15463424\"]\n  5 -> 24 [size =\"15463424\"]\n  5 -> 25 [size =\"15463424\"]\n  5 -> 26 [size =\"15463424\"]\n  6 [size=\"53008384\", alpha=\"0.07\", expect_size=\"26504192\"] \n  6 -> 13 [size =\"26504192\"]\n  6 -> 19 [size =\"26504192\"]\n  6 -> 20 [size =\"26504192\"]\n  6 -> 23 [size =\"26504192\"]\n  6 -> 24 [size =\"26504192\"]\n  6 -> 29 [size =\"26504192\"]\n  7 [size=\"33658880\", alpha=\"0.12\", expect_size=\"16829440\"] \n  7 -> 15 [size =\"16829440\"]\n  7 -> 17 [size =\"16829440\"]\n  7 -> 18 [size =\"16829440\"]\n  7 -> 20 [size =\"16829440\"]\n  7 -> 28 [size =\"16829440\"]\n  8 [size=\"71776256\", alpha=\"0.11\", expect_size=\"35888128\"] \n  8 -> 14 [size =\"35888128\"]\n  8 -> 15 [size =\"35888128\"]\n  8 -> 18 [size =\"35888128\"]\n  8 -> 19 [size =\"35888128\"]\n  8 -> 21 [size =\"35888128\"]\n  8 -> 22 [size =\"35888128\"]\n  8 -> 23 [size =\"35888128\"]\n  8 -> 25 [size =\"35888128\"]\n  8 -> 28 [size =\"35888128\"]\n  9 [size=\"64792576\", alpha=\"0.05\", expect_size=\"32396288\"] \n  9 -> 18 [size =\"32396288\"]\n  9 -> 19 [size =\"32396288\"]\n  9 -> 24 [size =\"32396288\"]\n  9 -> 25 [size =\"32396288\"]\n  9 -> 26 [size =\"32396288\"]\n  10 [size=\"85630976\", alpha=\"0.02\", expect_size=\"42815488\"] \n  10 -> 17 [size =\"42815488\"]\n  10 -> 19 [size =\"42815488\"]\n  10 -> 22 [size =\"42815488\"]\n  11 [size=\"54112256\", alpha=\"0.12\", expect_size=\"27056128\"] \n  11 -> 13 [size =\"27056128\"]\n  11 -> 14 [size =\"27056128\"]\n  11 -> 15 [size =\"27056128\"]\n  11 -> 19 [size =\"27056128\"]\n  11 -> 23 [size =\"27056128\"]\n  11 -> 26 [size =\"27056128\"]\n  12 [size=\"64425984\", alpha=\"0.01\", expect_size=\"32212992\"] \n  12 -> 13 [size =\"32212992\"]\n  12 -> 14 [size =\"32212992\"]\n  12 -> 15 [size =\"32212992\"]\n  12 -> 20 [size =\"32212992\"]\n  12 -> 23 [size =\"32212992\"]\n  12 -> 25 [size =\"32212992\"]\n  12 -> 27 [size =\"32212992\"]\n  12 -> 28 [size =\"32212992\"]\n  13 [size=\"64829440\", alpha=\"0.12\", expect_size=\"32414720\"] \n  13 -> 32 [size =\"32414720\"]\n  13 -> 34 [size =\"32414720\"]\n  13 -> 44 [size =\"32414720\"]\n  13 -> 47 [size =\"32414720\"]\n  14 [size=\"12021760\", alpha=\"0.10\", expect_size=\"6010880\"] \n  14 -> 30 [size =\"6010880\"]\n  14 -> 32 [size =\"6010880\"]\n  14 -> 34 [size =\"6010880\"]\n  14 -> 35 [size =\"6010880\"]\n  14 -> 38 [size =\"6010880\"]\n  14 -> 42 [size =\"6010880\"]\n  14 -> 43 [size =\"6010880\"]\n  14 -> 44 [size =\"6010880\"]\n  14 -> 47 [size =\"6010880\"]\n  15 [size=\"35442688\", alpha=\"0.04\", expect_size=\"17721344\"] \n  15 -> 34 [size =\"17721344\"]\n  15 -> 39 [size =\"17721344\"]\n  15 -> 41 [size =\"17721344\"]\n  15 -> 47 [size =\"17721344\"]\n  16 [size=\"84162560\", alpha=\"0.20\", expect_size=\"42081280\"] \n  16 -> 37 [size =\"42081280\"]\n  16 -> 41 [size =\"42081280\"]\n  16 -> 42 [size =\"42081280\"]\n  16 -> 44 [size =\"42081280\"]\n  17 [size=\"22863872\", alpha=\"0.14\", expect_size=\"11431936\"] \n  17 -> 34 [size =\"11431936\"]\n  17 -> 41 [size =\"11431936\"]\n  17 -> 44 [size =\"11431936\"]\n  17 -> 45 [size =\"11431936\"]\n  18 [size=\"77727744\", alpha=\"0.03\", expect_size=\"38863872\"] \n  18 -> 32 [size =\"38863872\"]\n  18 -> 34 [size =\"38863872\"]\n  18 -> 37 [size =\"38863872\"]\n  18 -> 42 [size =\"38863872\"]\n  18 -> 43 [size =\"38863872\"]\n  18 -> 44 [size =\"38863872\"]\n  19 [size=\"34140160\", alpha=\"0.07\", expect_size=\"17070080\"] \n  19 -> 30 [size =\"17070080\"]\n  19 -> 31 [size =\"17070080\"]\n  19 -> 34 [size =\"17070080\"]\n  19 -> 40 [size =\"17070080\"]\n  19 -> 41 [size =\"17070080\"]\n  19 -> 42 [size =\"17070080\"]\n  19 -> 43 [size =\"17070080\"]\n  19 -> 44 [size =\"17070080\"]\n  19 -> 46 [size =\"17070080\"]\n  20 [size=\"56571904\", alpha=\"0.06\", expect_size=\"28285952\"] \n  20 -> 30 [size =\"28285952\"]\n  20 -> 32 [size =\"28285952\"]\n  20 -> 33 [size =\"28285952\"]\n  20 -> 37 [size =\"28285952\"]\n  20 -> 41 [size =\"28285952\"]\n  20 -> 43 [size =\"28285952\"]\n  20 -> 44 [size =\"28285952\"]\n  20 -> 44 [size =\"28285952\"]\n  20 -> 46 [size =\"28285952\"]\n  20 -> 47 [size =\"28285952\"]\n  21 [size=\"63860736\", alpha=\"0.16\", expect_size=\"31930368\"] \n  21 -> 31 [size =\"31930368\"]\n  21 -> 32 [size =\"31930368\"]\n  21 -> 42 [size =\"31930368\"]\n  21 -> 43 [size =\"31930368\"]\n  21 -> 44 [size =\"31930368\"]\n  22 [size=\"25477120\", alpha=\"0.15\", expect_size=\"12738560\"] \n  22 -> 30 [size =\"12738560\"]\n  22 -> 31 [size =\"12738560\"]\n  22 -> 32 [size =\"12738560\"]\n  22 -> 34 [size =\"12738560\"]\n  22 -> 35 [size =\"12738560\"]\n  22 -> 36 [size =\"12738560\"]\n  22 -> 38 [size =\"12738560\"]\n  22 -> 39 [size =\"12738560\"]\n  22 -> 40 [size =\"12738560\"]\n  22 -> 41 [size =\"12738560\"]\n  22 -> 43 [size =\"12738560\"]\n  22 -> 44 [size =\"12738560\"]\n  23 [size=\"30883840\", alpha=\"0.04\", expect_size=\"15441920\"] \n  23 -> 31 [size =\"15441920\"]\n  23 -> 32 [size =\"15441920\"]\n  23 -> 35 [size =\"15441920\"]\n  23 -> 42 [size =\"15441920\"]\n  23 -> 43 [size =\"15441920\"]\n  23 -> 47 [size =\"15441920\"]\n  24 [size=\"88115200\", alpha=\"0.11\", expect_size=\"44057600\"] \n  24 -> 31 [size =\"44057600\"]\n  24 -> 34 [size =\"44057600\"]\n  24 -> 39 [size =\"44057600\"]\n  24 -> 41 [size =\"44057600\"]\n  24 -> 43 [size =\"44057600\"]\n  25 [size=\"39329792\", alpha=\"0.02\", expect_size=\"19664896\"] \n  25 -> 31 [size =\"19664896\"]\n  25 -> 37 [size =\"19664896\"]\n  25 -> 39 [size =\"19664896\"]\n  25 -> 44 [size =\"19664896\"]\n  26 [size=\"59084800\", alpha=\"0.03\", expect_size=\"29542400\"] \n  26 -> 31 [size =\"29542400\"]\n  26 -> 37 [size =\"29542400\"]\n  26 -> 39 [size =\"29542400\"]\n  26 -> 43 [size =\"29542400\"]\n  26 -> 44 [size =\"29542400\"]\n  27 [size=\"57948160\", alpha=\"0.08\", expect_size=\"28974080\"] \n  27 -> 31 [size =\"28974080\"]\n  27 -> 32 [size =\"28974080\"]\n  27 -> 35 [size =\"28974080\"]\n  27 -> 39 [size =\"28974080\"]\n  27 -> 42 [size =\"28974080\"]\n  27 -> 46 [size =\"28974080\"]\n  28 [size=\"31422464\", alpha=\"0.06\", expect_size=\"15711232\"] \n  28 -> 30 [size =\"15711232\"]\n  28 -> 31 [size =\"15711232\"]\n  28 -> 37 [size =\"15711232\"]\n  28 -> 38 [size =\"15711232\"]\n  28 -> 39 [size =\"15711232\"]\n  28 -> 41 [size =\"15711232\"]\n  28 -> 45 [size =\"15711232\"]\n  28 -> 46 [size =\"15711232\"]\n  29 [size=\"45277184\", alpha=\"0.16\", expect_size=\"22638592\"] \n  29 -> 35 [size =\"22638592\"]\n  29 -> 38 [size =\"22638592\"]\n  29 -> 39 [size =\"22638592\"]\n  29 -> 40 [size =\"22638592\"]\n  29 -> 45 [size =\"22638592\"]\n  30 [size=\"78278656\", alpha=\"0.02\", expect_size=\"39139328\"] \n  30 -> 48 [size =\"39139328\"]\n  30 -> 50 [size =\"39139328\"]\n  31 [size=\"14292992\", alpha=\"0.17\", expect_size=\"7146496\"] \n  31 -> 50 [size =\"7146496\"]\n  32 [size=\"88786944\", alpha=\"0.03\", expect_size=\"44393472\"] \n  33 [size=\"63930368\", alpha=\"0.01\", expect_size=\"31965184\"] \n  33 -> 49 [size =\"31965184\"]\n  33 -> 50 [size =\"31965184\"]\n  34 [size=\"81952768\", alpha=\"0.19\", expect_size=\"40976384\"] \n  34 -> 49 [size =\"40976384\"]\n  35 [size=\"38854656\", alpha=\"0.03\", expect_size=\"19427328\"] \n  36 [size=\"49446912\", alpha=\"0.02\", expect_size=\"24723456\"] \n  37 [size=\"61884416\", alpha=\"0.04\", expect_size=\"30942208\"] \n  38 [size=\"99338240\", alpha=\"0.20\", expect_size=\"49669120\"] \n  38 -> 48 [size =\"49669120\"]\n  39 [size=\"34357248\", alpha=\"0.01\", expect_size=\"17178624\"] \n  39 -> 48 [size =\"17178624\"]\n  40 [size=\"15622144\", alpha=\"0.12\", expect_size=\"7811072\"] \n  40 -> 49 [size =\"7811072\"]\n  40 -> 50 [size =\"7811072\"]\n  41 [size=\"23904256\", alpha=\"0.14\", expect_size=\"11952128\"] \n  41 -> 48 [size =\"11952128\"]\n  41 -> 49 [size =\"11952128\"]\n  41 -> 50 [size =\"11952128\"]\n  42 [size=\"102834176\", alpha=\"0.19\", expect_size=\"51417088\"] \n  42 -> 48 [size =\"51417088\"]\n  42 -> 50 [size =\"51417088\"]\n  42 -> 50 [size =\"51417088\"]\n  43 [size=\"23234560\", alpha=\"0.09\", expect_size=\"11617280\"] \n  43 -> 48 [size =\"11617280\"]\n  44 [size=\"28196864\", alpha=\"0.15\", expect_size=\"14098432\"] \n  44 -> 48 [size =\"14098432\"]\n  44 -> 49 [size =\"14098432\"]\n  45 [size=\"24885248\", alpha=\"0.07\", expect_size=\"12442624\"] \n  45 -> 48 [size =\"12442624\"]\n  45 -> 50 [size =\"12442624\"]\n  46 [size=\"38256640\", alpha=\"0.09\", expect_size=\"19128320\"] \n  47 [size=\"47618048\", alpha=\"0.02\", expect_size=\"23809024\"] \n  47 -> 50 [size =\"23809024\"]\n  48 [size=\"65347584\", alpha=\"0.19\", expect_size=\"32673792\"] \n  49 [size=\"64319488\", alpha=\"0.03\", expect_size=\"32159744\"] \n  50 [size=\"68186112\", alpha=\"0.02\", expect_size=\"34093056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.126.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86934187\", alpha=\"0.17\", expect_size=\"26080256\"] \n  1 -> 43 [size =\"26080256\"]\n  1 -> 44 [size =\"26080256\"]\n  1 -> 48 [size =\"26080256\"]\n  1 -> 49 [size =\"26080256\"]\n  2 [size=\"167499093\", alpha=\"0.11\", expect_size=\"50249728\"] \n  2 -> 43 [size =\"50249728\"]\n  2 -> 48 [size =\"50249728\"]\n  3 [size=\"28545707\", alpha=\"0.10\", expect_size=\"8563712\"] \n  3 -> 42 [size =\"8563712\"]\n  3 -> 46 [size =\"8563712\"]\n  3 -> 48 [size =\"8563712\"]\n  4 [size=\"153910613\", alpha=\"0.20\", expect_size=\"46173184\"] \n  4 -> 42 [size =\"46173184\"]\n  4 -> 48 [size =\"46173184\"]\n  4 -> 49 [size =\"46173184\"]\n  5 [size=\"151685120\", alpha=\"0.11\", expect_size=\"45505536\"] \n  5 -> 48 [size =\"45505536\"]\n  6 [size=\"134976853\", alpha=\"0.05\", expect_size=\"40493056\"] \n  6 -> 48 [size =\"40493056\"]\n  7 [size=\"82626560\", alpha=\"0.03\", expect_size=\"24787968\"] \n  7 -> 48 [size =\"24787968\"]\n  7 -> 49 [size =\"24787968\"]\n  8 [size=\"90214400\", alpha=\"0.12\", expect_size=\"27064320\"] \n  8 -> 45 [size =\"27064320\"]\n  8 -> 47 [size =\"27064320\"]\n  8 -> 48 [size =\"27064320\"]\n  9 [size=\"70140587\", alpha=\"0.15\", expect_size=\"21042176\"] \n  9 -> 43 [size =\"21042176\"]\n  9 -> 45 [size =\"21042176\"]\n  10 [size=\"67150507\", alpha=\"0.14\", expect_size=\"20145152\"] \n  10 -> 43 [size =\"20145152\"]\n  10 -> 45 [size =\"20145152\"]\n  10 -> 47 [size =\"20145152\"]\n  10 -> 48 [size =\"20145152\"]\n  10 -> 49 [size =\"20145152\"]\n  11 [size=\"160443733\", alpha=\"0.20\", expect_size=\"48133120\"] \n  11 -> 43 [size =\"48133120\"]\n  11 -> 45 [size =\"48133120\"]\n  11 -> 47 [size =\"48133120\"]\n  11 -> 49 [size =\"48133120\"]\n  12 [size=\"138478933\", alpha=\"0.06\", expect_size=\"41543680\"] \n  12 -> 43 [size =\"41543680\"]\n  12 -> 47 [size =\"41543680\"]\n  12 -> 47 [size =\"41543680\"]\n  13 [size=\"70328320\", alpha=\"0.20\", expect_size=\"21098496\"] \n  13 -> 47 [size =\"21098496\"]\n  13 -> 47 [size =\"21098496\"]\n  14 [size=\"152494080\", alpha=\"0.05\", expect_size=\"45748224\"] \n  14 -> 47 [size =\"45748224\"]\n  15 [size=\"152067413\", alpha=\"0.18\", expect_size=\"45620224\"] \n  15 -> 46 [size =\"45620224\"]\n  16 [size=\"85220693\", alpha=\"0.06\", expect_size=\"25566208\"] \n  16 -> 43 [size =\"25566208\"]\n  16 -> 49 [size =\"25566208\"]\n  17 [size=\"127488000\", alpha=\"0.05\", expect_size=\"38246400\"] \n  17 -> 43 [size =\"38246400\"]\n  17 -> 48 [size =\"38246400\"]\n  17 -> 49 [size =\"38246400\"]\n  18 [size=\"150258347\", alpha=\"0.15\", expect_size=\"45077504\"] \n  18 -> 43 [size =\"45077504\"]\n  18 -> 45 [size =\"45077504\"]\n  18 -> 47 [size =\"45077504\"]\n  19 [size=\"87435947\", alpha=\"0.14\", expect_size=\"26230784\"] \n  19 -> 43 [size =\"26230784\"]\n  19 -> 45 [size =\"26230784\"]\n  19 -> 47 [size =\"26230784\"]\n  19 -> 49 [size =\"26230784\"]\n  19 -> 50 [size =\"26230784\"]\n  20 [size=\"48387413\", alpha=\"0.03\", expect_size=\"14516224\"] \n  20 -> 43 [size =\"14516224\"]\n  20 -> 45 [size =\"14516224\"]\n  20 -> 47 [size =\"14516224\"]\n  20 -> 48 [size =\"14516224\"]\n  20 -> 49 [size =\"14516224\"]\n  21 [size=\"156545707\", alpha=\"0.01\", expect_size=\"46963712\"] \n  21 -> 43 [size =\"46963712\"]\n  21 -> 46 [size =\"46963712\"]\n  21 -> 47 [size =\"46963712\"]\n  21 -> 48 [size =\"46963712\"]\n  21 -> 49 [size =\"46963712\"]\n  22 [size=\"155262293\", alpha=\"0.18\", expect_size=\"46578688\"] \n  22 -> 43 [size =\"46578688\"]\n  22 -> 45 [size =\"46578688\"]\n  22 -> 46 [size =\"46578688\"]\n  22 -> 47 [size =\"46578688\"]\n  22 -> 48 [size =\"46578688\"]\n  22 -> 49 [size =\"46578688\"]\n  23 [size=\"48407893\", alpha=\"0.16\", expect_size=\"14522368\"] \n  23 -> 43 [size =\"14522368\"]\n  23 -> 46 [size =\"14522368\"]\n  23 -> 47 [size =\"14522368\"]\n  23 -> 47 [size =\"14522368\"]\n  23 -> 48 [size =\"14522368\"]\n  23 -> 49 [size =\"14522368\"]\n  24 [size=\"47011840\", alpha=\"0.12\", expect_size=\"14103552\"] \n  24 -> 43 [size =\"14103552\"]\n  24 -> 45 [size =\"14103552\"]\n  24 -> 47 [size =\"14103552\"]\n  24 -> 48 [size =\"14103552\"]\n  24 -> 49 [size =\"14103552\"]\n  24 -> 49 [size =\"14103552\"]\n  24 -> 50 [size =\"14103552\"]\n  25 [size=\"83237547\", alpha=\"0.05\", expect_size=\"24971264\"] \n  25 -> 43 [size =\"24971264\"]\n  25 -> 47 [size =\"24971264\"]\n  25 -> 49 [size =\"24971264\"]\n  26 [size=\"66392747\", alpha=\"0.13\", expect_size=\"19917824\"] \n  26 -> 42 [size =\"19917824\"]\n  26 -> 43 [size =\"19917824\"]\n  26 -> 47 [size =\"19917824\"]\n  26 -> 48 [size =\"19917824\"]\n  26 -> 49 [size =\"19917824\"]\n  27 [size=\"111964160\", alpha=\"0.09\", expect_size=\"33589248\"] \n  27 -> 45 [size =\"33589248\"]\n  27 -> 46 [size =\"33589248\"]\n  27 -> 47 [size =\"33589248\"]\n  27 -> 49 [size =\"33589248\"]\n  28 [size=\"149937493\", alpha=\"0.14\", expect_size=\"44981248\"] \n  28 -> 43 [size =\"44981248\"]\n  28 -> 47 [size =\"44981248\"]\n  28 -> 47 [size =\"44981248\"]\n  28 -> 48 [size =\"44981248\"]\n  29 [size=\"114237440\", alpha=\"0.06\", expect_size=\"34271232\"] \n  29 -> 43 [size =\"34271232\"]\n  29 -> 45 [size =\"34271232\"]\n  29 -> 47 [size =\"34271232\"]\n  29 -> 48 [size =\"34271232\"]\n  29 -> 49 [size =\"34271232\"]\n  30 [size=\"65655467\", alpha=\"0.05\", expect_size=\"19696640\"] \n  30 -> 42 [size =\"19696640\"]\n  30 -> 43 [size =\"19696640\"]\n  30 -> 48 [size =\"19696640\"]\n  30 -> 48 [size =\"19696640\"]\n  31 [size=\"88814933\", alpha=\"0.01\", expect_size=\"26644480\"] \n  31 -> 48 [size =\"26644480\"]\n  31 -> 49 [size =\"26644480\"]\n  32 [size=\"95894187\", alpha=\"0.13\", expect_size=\"28768256\"] \n  32 -> 43 [size =\"28768256\"]\n  32 -> 46 [size =\"28768256\"]\n  32 -> 47 [size =\"28768256\"]\n  32 -> 48 [size =\"28768256\"]\n  32 -> 49 [size =\"28768256\"]\n  32 -> 50 [size =\"28768256\"]\n  33 [size=\"79629653\", alpha=\"0.12\", expect_size=\"23888896\"] \n  33 -> 43 [size =\"23888896\"]\n  33 -> 46 [size =\"23888896\"]\n  33 -> 47 [size =\"23888896\"]\n  33 -> 49 [size =\"23888896\"]\n  33 -> 49 [size =\"23888896\"]\n  34 [size=\"51087360\", alpha=\"0.07\", expect_size=\"15326208\"] \n  34 -> 43 [size =\"15326208\"]\n  34 -> 47 [size =\"15326208\"]\n  34 -> 47 [size =\"15326208\"]\n  34 -> 49 [size =\"15326208\"]\n  35 [size=\"146708480\", alpha=\"0.00\", expect_size=\"44012544\"] \n  35 -> 46 [size =\"44012544\"]\n  35 -> 47 [size =\"44012544\"]\n  35 -> 49 [size =\"44012544\"]\n  36 [size=\"28842667\", alpha=\"0.02\", expect_size=\"8652800\"] \n  36 -> 42 [size =\"8652800\"]\n  36 -> 43 [size =\"8652800\"]\n  36 -> 44 [size =\"8652800\"]\n  37 [size=\"129559893\", alpha=\"0.17\", expect_size=\"38867968\"] \n  37 -> 42 [size =\"38867968\"]\n  37 -> 43 [size =\"38867968\"]\n  37 -> 48 [size =\"38867968\"]\n  37 -> 49 [size =\"38867968\"]\n  38 [size=\"42154667\", alpha=\"0.10\", expect_size=\"12646400\"] \n  38 -> 42 [size =\"12646400\"]\n  38 -> 43 [size =\"12646400\"]\n  38 -> 48 [size =\"12646400\"]\n  39 [size=\"153937920\", alpha=\"0.11\", expect_size=\"46181376\"] \n  39 -> 42 [size =\"46181376\"]\n  39 -> 43 [size =\"46181376\"]\n  39 -> 48 [size =\"46181376\"]\n  40 [size=\"45721600\", alpha=\"0.16\", expect_size=\"13716480\"] \n  40 -> 45 [size =\"13716480\"]\n  40 -> 48 [size =\"13716480\"]\n  40 -> 49 [size =\"13716480\"]\n  41 [size=\"81749333\", alpha=\"0.19\", expect_size=\"24524800\"] \n  41 -> 42 [size =\"24524800\"]\n  41 -> 43 [size =\"24524800\"]\n  41 -> 48 [size =\"24524800\"]\n  41 -> 49 [size =\"24524800\"]\n  42 [size=\"90422613\", alpha=\"0.20\", expect_size=\"27126784\"] \n  43 [size=\"35457707\", alpha=\"0.04\", expect_size=\"10637312\"] \n  44 [size=\"126999893\", alpha=\"0.12\", expect_size=\"38099968\"] \n  45 [size=\"28200960\", alpha=\"0.09\", expect_size=\"8460288\"] \n  46 [size=\"30948693\", alpha=\"0.11\", expect_size=\"9284608\"] \n  47 [size=\"45697707\", alpha=\"0.06\", expect_size=\"13709312\"] \n  48 [size=\"25176747\", alpha=\"0.18\", expect_size=\"7553024\"] \n  49 [size=\"102167893\", alpha=\"0.01\", expect_size=\"30650368\"] \n  50 [size=\"32061440\", alpha=\"0.11\", expect_size=\"9618432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.127.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54217387\", alpha=\"0.11\", expect_size=\"16265216\"] \n  1 -> 11 [size =\"16265216\"]\n  1 -> 19 [size =\"16265216\"]\n  1 -> 21 [size =\"16265216\"]\n  1 -> 22 [size =\"16265216\"]\n  1 -> 27 [size =\"16265216\"]\n  1 -> 28 [size =\"16265216\"]\n  1 -> 30 [size =\"16265216\"]\n  2 [size=\"43124053\", alpha=\"0.07\", expect_size=\"12937216\"] \n  2 -> 19 [size =\"12937216\"]\n  2 -> 21 [size =\"12937216\"]\n  2 -> 22 [size =\"12937216\"]\n  2 -> 29 [size =\"12937216\"]\n  3 [size=\"25190400\", alpha=\"0.11\", expect_size=\"7557120\"] \n  3 -> 10 [size =\"7557120\"]\n  3 -> 13 [size =\"7557120\"]\n  3 -> 26 [size =\"7557120\"]\n  3 -> 27 [size =\"7557120\"]\n  3 -> 30 [size =\"7557120\"]\n  4 [size=\"34805760\", alpha=\"0.02\", expect_size=\"10441728\"] \n  4 -> 10 [size =\"10441728\"]\n  4 -> 12 [size =\"10441728\"]\n  4 -> 13 [size =\"10441728\"]\n  4 -> 16 [size =\"10441728\"]\n  4 -> 17 [size =\"10441728\"]\n  4 -> 20 [size =\"10441728\"]\n  4 -> 24 [size =\"10441728\"]\n  4 -> 25 [size =\"10441728\"]\n  5 [size=\"166830080\", alpha=\"0.06\", expect_size=\"50049024\"] \n  5 -> 10 [size =\"50049024\"]\n  5 -> 12 [size =\"50049024\"]\n  5 -> 16 [size =\"50049024\"]\n  5 -> 17 [size =\"50049024\"]\n  5 -> 18 [size =\"50049024\"]\n  5 -> 21 [size =\"50049024\"]\n  5 -> 23 [size =\"50049024\"]\n  5 -> 24 [size =\"50049024\"]\n  5 -> 28 [size =\"50049024\"]\n  6 [size=\"112814080\", alpha=\"0.11\", expect_size=\"33844224\"] \n  6 -> 12 [size =\"33844224\"]\n  6 -> 14 [size =\"33844224\"]\n  6 -> 15 [size =\"33844224\"]\n  6 -> 20 [size =\"33844224\"]\n  6 -> 23 [size =\"33844224\"]\n  6 -> 24 [size =\"33844224\"]\n  6 -> 26 [size =\"33844224\"]\n  6 -> 29 [size =\"33844224\"]\n  7 [size=\"28009813\", alpha=\"0.10\", expect_size=\"8402944\"] \n  7 -> 12 [size =\"8402944\"]\n  7 -> 16 [size =\"8402944\"]\n  7 -> 17 [size =\"8402944\"]\n  7 -> 19 [size =\"8402944\"]\n  7 -> 25 [size =\"8402944\"]\n  7 -> 26 [size =\"8402944\"]\n  7 -> 29 [size =\"8402944\"]\n  8 [size=\"29924693\", alpha=\"0.17\", expect_size=\"8977408\"] \n  8 -> 11 [size =\"8977408\"]\n  8 -> 14 [size =\"8977408\"]\n  8 -> 15 [size =\"8977408\"]\n  8 -> 21 [size =\"8977408\"]\n  8 -> 23 [size =\"8977408\"]\n  9 [size=\"89934507\", alpha=\"0.04\", expect_size=\"26980352\"] \n  9 -> 10 [size =\"26980352\"]\n  9 -> 15 [size =\"26980352\"]\n  9 -> 21 [size =\"26980352\"]\n  9 -> 23 [size =\"26980352\"]\n  9 -> 24 [size =\"26980352\"]\n  9 -> 27 [size =\"26980352\"]\n  9 -> 29 [size =\"26980352\"]\n  9 -> 30 [size =\"26980352\"]\n  10 [size=\"114670933\", alpha=\"0.15\", expect_size=\"34401280\"] \n  10 -> 34 [size =\"34401280\"]\n  10 -> 38 [size =\"34401280\"]\n  10 -> 40 [size =\"34401280\"]\n  11 [size=\"28132693\", alpha=\"0.13\", expect_size=\"8439808\"] \n  11 -> 31 [size =\"8439808\"]\n  11 -> 38 [size =\"8439808\"]\n  11 -> 40 [size =\"8439808\"]\n  11 -> 43 [size =\"8439808\"]\n  11 -> 44 [size =\"8439808\"]\n  12 [size=\"115770027\", alpha=\"0.07\", expect_size=\"34731008\"] \n  12 -> 34 [size =\"34731008\"]\n  12 -> 37 [size =\"34731008\"]\n  12 -> 38 [size =\"34731008\"]\n  12 -> 40 [size =\"34731008\"]\n  12 -> 43 [size =\"34731008\"]\n  13 [size=\"170386773\", alpha=\"0.11\", expect_size=\"51116032\"] \n  13 -> 34 [size =\"51116032\"]\n  13 -> 37 [size =\"51116032\"]\n  13 -> 43 [size =\"51116032\"]\n  14 [size=\"99682987\", alpha=\"0.08\", expect_size=\"29904896\"] \n  14 -> 31 [size =\"29904896\"]\n  14 -> 41 [size =\"29904896\"]\n  14 -> 44 [size =\"29904896\"]\n  15 [size=\"114155520\", alpha=\"0.13\", expect_size=\"34246656\"] \n  15 -> 33 [size =\"34246656\"]\n  15 -> 36 [size =\"34246656\"]\n  15 -> 38 [size =\"34246656\"]\n  15 -> 39 [size =\"34246656\"]\n  15 -> 40 [size =\"34246656\"]\n  15 -> 45 [size =\"34246656\"]\n  16 [size=\"160580267\", alpha=\"0.15\", expect_size=\"48174080\"] \n  16 -> 33 [size =\"48174080\"]\n  16 -> 37 [size =\"48174080\"]\n  17 [size=\"93590187\", alpha=\"0.19\", expect_size=\"28077056\"] \n  17 -> 33 [size =\"28077056\"]\n  17 -> 39 [size =\"28077056\"]\n  17 -> 41 [size =\"28077056\"]\n  18 [size=\"173352960\", alpha=\"0.15\", expect_size=\"52005888\"] \n  18 -> 31 [size =\"52005888\"]\n  18 -> 33 [size =\"52005888\"]\n  18 -> 39 [size =\"52005888\"]\n  18 -> 41 [size =\"52005888\"]\n  19 [size=\"146319360\", alpha=\"0.04\", expect_size=\"43895808\"] \n  19 -> 33 [size =\"43895808\"]\n  19 -> 34 [size =\"43895808\"]\n  19 -> 39 [size =\"43895808\"]\n  19 -> 42 [size =\"43895808\"]\n  20 [size=\"22125227\", alpha=\"0.12\", expect_size=\"6637568\"] \n  20 -> 32 [size =\"6637568\"]\n  20 -> 34 [size =\"6637568\"]\n  20 -> 40 [size =\"6637568\"]\n  21 [size=\"141820587\", alpha=\"0.04\", expect_size=\"42546176\"] \n  21 -> 31 [size =\"42546176\"]\n  21 -> 37 [size =\"42546176\"]\n  21 -> 40 [size =\"42546176\"]\n  21 -> 42 [size =\"42546176\"]\n  21 -> 43 [size =\"42546176\"]\n  22 [size=\"88480427\", alpha=\"0.20\", expect_size=\"26544128\"] \n  22 -> 31 [size =\"26544128\"]\n  22 -> 33 [size =\"26544128\"]\n  22 -> 39 [size =\"26544128\"]\n  22 -> 40 [size =\"26544128\"]\n  22 -> 43 [size =\"26544128\"]\n  23 [size=\"143127893\", alpha=\"0.16\", expect_size=\"42938368\"] \n  23 -> 33 [size =\"42938368\"]\n  23 -> 34 [size =\"42938368\"]\n  23 -> 37 [size =\"42938368\"]\n  23 -> 43 [size =\"42938368\"]\n  23 -> 44 [size =\"42938368\"]\n  24 [size=\"71553707\", alpha=\"0.15\", expect_size=\"21466112\"] \n  24 -> 34 [size =\"21466112\"]\n  24 -> 40 [size =\"21466112\"]\n  25 [size=\"132730880\", alpha=\"0.13\", expect_size=\"39819264\"] \n  25 -> 34 [size =\"39819264\"]\n  25 -> 40 [size =\"39819264\"]\n  25 -> 44 [size =\"39819264\"]\n  26 [size=\"81397760\", alpha=\"0.03\", expect_size=\"24419328\"] \n  26 -> 31 [size =\"24419328\"]\n  26 -> 34 [size =\"24419328\"]\n  26 -> 36 [size =\"24419328\"]\n  26 -> 37 [size =\"24419328\"]\n  26 -> 38 [size =\"24419328\"]\n  26 -> 42 [size =\"24419328\"]\n  26 -> 44 [size =\"24419328\"]\n  26 -> 45 [size =\"24419328\"]\n  27 [size=\"41055573\", alpha=\"0.14\", expect_size=\"12316672\"] \n  27 -> 33 [size =\"12316672\"]\n  27 -> 36 [size =\"12316672\"]\n  27 -> 36 [size =\"12316672\"]\n  27 -> 37 [size =\"12316672\"]\n  27 -> 38 [size =\"12316672\"]\n  27 -> 40 [size =\"12316672\"]\n  28 [size=\"35007147\", alpha=\"0.07\", expect_size=\"10502144\"] \n  28 -> 35 [size =\"10502144\"]\n  28 -> 36 [size =\"10502144\"]\n  28 -> 37 [size =\"10502144\"]\n  28 -> 44 [size =\"10502144\"]\n  29 [size=\"150152533\", alpha=\"0.09\", expect_size=\"45045760\"] \n  29 -> 39 [size =\"45045760\"]\n  29 -> 45 [size =\"45045760\"]\n  30 [size=\"23572480\", alpha=\"0.04\", expect_size=\"7071744\"] \n  30 -> 37 [size =\"7071744\"]\n  30 -> 41 [size =\"7071744\"]\n  31 [size=\"115101013\", alpha=\"0.20\", expect_size=\"34530304\"] \n  31 -> 46 [size =\"34530304\"]\n  32 [size=\"146909867\", alpha=\"0.08\", expect_size=\"44072960\"] \n  32 -> 49 [size =\"44072960\"]\n  33 [size=\"144646827\", alpha=\"0.16\", expect_size=\"43394048\"] \n  33 -> 47 [size =\"43394048\"]\n  33 -> 48 [size =\"43394048\"]\n  34 [size=\"116026027\", alpha=\"0.14\", expect_size=\"34807808\"] \n  35 [size=\"78383787\", alpha=\"0.04\", expect_size=\"23515136\"] \n  35 -> 46 [size =\"23515136\"]\n  36 [size=\"23787520\", alpha=\"0.13\", expect_size=\"7136256\"] \n  36 -> 46 [size =\"7136256\"]\n  36 -> 48 [size =\"7136256\"]\n  36 -> 50 [size =\"7136256\"]\n  37 [size=\"47575040\", alpha=\"0.11\", expect_size=\"14272512\"] \n  37 -> 48 [size =\"14272512\"]\n  38 [size=\"160279893\", alpha=\"0.10\", expect_size=\"48083968\"] \n  38 -> 47 [size =\"48083968\"]\n  38 -> 48 [size =\"48083968\"]\n  38 -> 50 [size =\"48083968\"]\n  39 [size=\"59784533\", alpha=\"0.04\", expect_size=\"17935360\"] \n  39 -> 47 [size =\"17935360\"]\n  39 -> 48 [size =\"17935360\"]\n  39 -> 50 [size =\"17935360\"]\n  40 [size=\"133120000\", alpha=\"0.19\", expect_size=\"39936000\"] \n  40 -> 46 [size =\"39936000\"]\n  40 -> 50 [size =\"39936000\"]\n  41 [size=\"162904747\", alpha=\"0.10\", expect_size=\"48871424\"] \n  41 -> 47 [size =\"48871424\"]\n  41 -> 49 [size =\"48871424\"]\n  42 [size=\"159805440\", alpha=\"0.10\", expect_size=\"47941632\"] \n  42 -> 49 [size =\"47941632\"]\n  42 -> 50 [size =\"47941632\"]\n  43 [size=\"64822613\", alpha=\"0.06\", expect_size=\"19446784\"] \n  43 -> 48 [size =\"19446784\"]\n  43 -> 49 [size =\"19446784\"]\n  44 [size=\"30873600\", alpha=\"0.09\", expect_size=\"9262080\"] \n  44 -> 48 [size =\"9262080\"]\n  44 -> 49 [size =\"9262080\"]\n  45 [size=\"140165120\", alpha=\"0.07\", expect_size=\"42049536\"] \n  45 -> 49 [size =\"42049536\"]\n  46 [size=\"17517227\", alpha=\"0.13\", expect_size=\"5255168\"] \n  47 [size=\"120606720\", alpha=\"0.01\", expect_size=\"36182016\"] \n  48 [size=\"53691733\", alpha=\"0.12\", expect_size=\"16107520\"] \n  49 [size=\"129928533\", alpha=\"0.20\", expect_size=\"38978560\"] \n  50 [size=\"163597653\", alpha=\"0.08\", expect_size=\"49079296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.128.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25305088\", alpha=\"0.12\", expect_size=\"12652544\"] \n  1 -> 41 [size =\"12652544\"]\n  1 -> 45 [size =\"12652544\"]\n  1 -> 48 [size =\"12652544\"]\n  1 -> 49 [size =\"12652544\"]\n  1 -> 50 [size =\"12652544\"]\n  2 [size=\"42848256\", alpha=\"0.05\", expect_size=\"21424128\"] \n  2 -> 46 [size =\"21424128\"]\n  2 -> 47 [size =\"21424128\"]\n  2 -> 48 [size =\"21424128\"]\n  2 -> 50 [size =\"21424128\"]\n  3 [size=\"38729728\", alpha=\"0.01\", expect_size=\"19364864\"] \n  3 -> 41 [size =\"19364864\"]\n  3 -> 45 [size =\"19364864\"]\n  3 -> 47 [size =\"19364864\"]\n  3 -> 48 [size =\"19364864\"]\n  3 -> 50 [size =\"19364864\"]\n  4 [size=\"59877376\", alpha=\"0.14\", expect_size=\"29938688\"] \n  4 -> 45 [size =\"29938688\"]\n  4 -> 46 [size =\"29938688\"]\n  4 -> 47 [size =\"29938688\"]\n  4 -> 48 [size =\"29938688\"]\n  4 -> 50 [size =\"29938688\"]\n  5 [size=\"41603072\", alpha=\"0.06\", expect_size=\"20801536\"] \n  5 -> 45 [size =\"20801536\"]\n  5 -> 47 [size =\"20801536\"]\n  5 -> 48 [size =\"20801536\"]\n  5 -> 48 [size =\"20801536\"]\n  5 -> 49 [size =\"20801536\"]\n  5 -> 50 [size =\"20801536\"]\n  6 [size=\"40325120\", alpha=\"0.19\", expect_size=\"20162560\"] \n  6 -> 41 [size =\"20162560\"]\n  6 -> 43 [size =\"20162560\"]\n  6 -> 45 [size =\"20162560\"]\n  6 -> 46 [size =\"20162560\"]\n  6 -> 50 [size =\"20162560\"]\n  7 [size=\"31076352\", alpha=\"0.09\", expect_size=\"15538176\"] \n  7 -> 45 [size =\"15538176\"]\n  7 -> 46 [size =\"15538176\"]\n  7 -> 47 [size =\"15538176\"]\n  7 -> 48 [size =\"15538176\"]\n  8 [size=\"101502976\", alpha=\"0.01\", expect_size=\"50751488\"] \n  8 -> 44 [size =\"50751488\"]\n  8 -> 45 [size =\"50751488\"]\n  8 -> 48 [size =\"50751488\"]\n  9 [size=\"28887040\", alpha=\"0.13\", expect_size=\"14443520\"] \n  9 -> 41 [size =\"14443520\"]\n  9 -> 44 [size =\"14443520\"]\n  9 -> 45 [size =\"14443520\"]\n  9 -> 46 [size =\"14443520\"]\n  9 -> 47 [size =\"14443520\"]\n  9 -> 48 [size =\"14443520\"]\n  9 -> 49 [size =\"14443520\"]\n  10 [size=\"19599360\", alpha=\"0.10\", expect_size=\"9799680\"] \n  10 -> 41 [size =\"9799680\"]\n  10 -> 44 [size =\"9799680\"]\n  10 -> 45 [size =\"9799680\"]\n  10 -> 48 [size =\"9799680\"]\n  11 [size=\"43251712\", alpha=\"0.02\", expect_size=\"21625856\"] \n  11 -> 41 [size =\"21625856\"]\n  11 -> 45 [size =\"21625856\"]\n  11 -> 45 [size =\"21625856\"]\n  11 -> 48 [size =\"21625856\"]\n  11 -> 49 [size =\"21625856\"]\n  12 [size=\"100128768\", alpha=\"0.08\", expect_size=\"50064384\"] \n  12 -> 41 [size =\"50064384\"]\n  12 -> 45 [size =\"50064384\"]\n  12 -> 48 [size =\"50064384\"]\n  13 [size=\"29753344\", alpha=\"0.08\", expect_size=\"14876672\"] \n  13 -> 41 [size =\"14876672\"]\n  13 -> 45 [size =\"14876672\"]\n  13 -> 48 [size =\"14876672\"]\n  13 -> 50 [size =\"14876672\"]\n  14 [size=\"36290560\", alpha=\"0.05\", expect_size=\"18145280\"] \n  14 -> 41 [size =\"18145280\"]\n  14 -> 44 [size =\"18145280\"]\n  14 -> 45 [size =\"18145280\"]\n  14 -> 47 [size =\"18145280\"]\n  14 -> 49 [size =\"18145280\"]\n  14 -> 50 [size =\"18145280\"]\n  15 [size=\"103786496\", alpha=\"0.06\", expect_size=\"51893248\"] \n  15 -> 41 [size =\"51893248\"]\n  15 -> 45 [size =\"51893248\"]\n  15 -> 45 [size =\"51893248\"]\n  15 -> 47 [size =\"51893248\"]\n  15 -> 48 [size =\"51893248\"]\n  15 -> 50 [size =\"51893248\"]\n  16 [size=\"39088128\", alpha=\"0.19\", expect_size=\"19544064\"] \n  16 -> 41 [size =\"19544064\"]\n  16 -> 47 [size =\"19544064\"]\n  16 -> 48 [size =\"19544064\"]\n  16 -> 50 [size =\"19544064\"]\n  17 [size=\"32645120\", alpha=\"0.13\", expect_size=\"16322560\"] \n  17 -> 41 [size =\"16322560\"]\n  17 -> 47 [size =\"16322560\"]\n  17 -> 48 [size =\"16322560\"]\n  17 -> 50 [size =\"16322560\"]\n  18 [size=\"77451264\", alpha=\"0.02\", expect_size=\"38725632\"] \n  18 -> 41 [size =\"38725632\"]\n  18 -> 43 [size =\"38725632\"]\n  18 -> 46 [size =\"38725632\"]\n  18 -> 48 [size =\"38725632\"]\n  18 -> 50 [size =\"38725632\"]\n  19 [size=\"81252352\", alpha=\"0.17\", expect_size=\"40626176\"] \n  19 -> 41 [size =\"40626176\"]\n  19 -> 42 [size =\"40626176\"]\n  19 -> 45 [size =\"40626176\"]\n  19 -> 46 [size =\"40626176\"]\n  19 -> 47 [size =\"40626176\"]\n  19 -> 48 [size =\"40626176\"]\n  19 -> 50 [size =\"40626176\"]\n  20 [size=\"48095232\", alpha=\"0.16\", expect_size=\"24047616\"] \n  20 -> 41 [size =\"24047616\"]\n  20 -> 45 [size =\"24047616\"]\n  20 -> 46 [size =\"24047616\"]\n  21 [size=\"97462272\", alpha=\"0.18\", expect_size=\"48731136\"] \n  21 -> 41 [size =\"48731136\"]\n  21 -> 47 [size =\"48731136\"]\n  21 -> 48 [size =\"48731136\"]\n  21 -> 50 [size =\"48731136\"]\n  22 [size=\"13815808\", alpha=\"0.07\", expect_size=\"6907904\"] \n  22 -> 41 [size =\"6907904\"]\n  22 -> 45 [size =\"6907904\"]\n  22 -> 47 [size =\"6907904\"]\n  22 -> 48 [size =\"6907904\"]\n  23 [size=\"50956288\", alpha=\"0.02\", expect_size=\"25478144\"] \n  23 -> 41 [size =\"25478144\"]\n  23 -> 44 [size =\"25478144\"]\n  23 -> 45 [size =\"25478144\"]\n  23 -> 47 [size =\"25478144\"]\n  23 -> 48 [size =\"25478144\"]\n  24 [size=\"89747456\", alpha=\"0.07\", expect_size=\"44873728\"] \n  24 -> 41 [size =\"44873728\"]\n  24 -> 47 [size =\"44873728\"]\n  24 -> 48 [size =\"44873728\"]\n  24 -> 49 [size =\"44873728\"]\n  25 [size=\"20406272\", alpha=\"0.19\", expect_size=\"10203136\"] \n  25 -> 41 [size =\"10203136\"]\n  25 -> 45 [size =\"10203136\"]\n  25 -> 47 [size =\"10203136\"]\n  25 -> 48 [size =\"10203136\"]\n  25 -> 50 [size =\"10203136\"]\n  26 [size=\"46639104\", alpha=\"0.17\", expect_size=\"23319552\"] \n  26 -> 41 [size =\"23319552\"]\n  26 -> 42 [size =\"23319552\"]\n  26 -> 47 [size =\"23319552\"]\n  26 -> 48 [size =\"23319552\"]\n  26 -> 49 [size =\"23319552\"]\n  27 [size=\"43005952\", alpha=\"0.00\", expect_size=\"21502976\"] \n  27 -> 41 [size =\"21502976\"]\n  27 -> 42 [size =\"21502976\"]\n  27 -> 47 [size =\"21502976\"]\n  27 -> 48 [size =\"21502976\"]\n  28 [size=\"104026112\", alpha=\"0.02\", expect_size=\"52013056\"] \n  28 -> 41 [size =\"52013056\"]\n  28 -> 46 [size =\"52013056\"]\n  28 -> 48 [size =\"52013056\"]\n  29 [size=\"20613120\", alpha=\"0.08\", expect_size=\"10306560\"] \n  29 -> 41 [size =\"10306560\"]\n  29 -> 46 [size =\"10306560\"]\n  29 -> 48 [size =\"10306560\"]\n  30 [size=\"99821568\", alpha=\"0.16\", expect_size=\"49910784\"] \n  30 -> 41 [size =\"49910784\"]\n  30 -> 44 [size =\"49910784\"]\n  30 -> 46 [size =\"49910784\"]\n  31 [size=\"79706112\", alpha=\"0.11\", expect_size=\"39853056\"] \n  31 -> 41 [size =\"39853056\"]\n  31 -> 45 [size =\"39853056\"]\n  31 -> 46 [size =\"39853056\"]\n  31 -> 47 [size =\"39853056\"]\n  31 -> 48 [size =\"39853056\"]\n  32 [size=\"69457920\", alpha=\"0.04\", expect_size=\"34728960\"] \n  32 -> 41 [size =\"34728960\"]\n  32 -> 44 [size =\"34728960\"]\n  32 -> 45 [size =\"34728960\"]\n  32 -> 46 [size =\"34728960\"]\n  32 -> 48 [size =\"34728960\"]\n  33 [size=\"101443584\", alpha=\"0.02\", expect_size=\"50721792\"] \n  33 -> 41 [size =\"50721792\"]\n  33 -> 44 [size =\"50721792\"]\n  33 -> 45 [size =\"50721792\"]\n  33 -> 48 [size =\"50721792\"]\n  33 -> 50 [size =\"50721792\"]\n  34 [size=\"15161344\", alpha=\"0.05\", expect_size=\"7580672\"] \n  34 -> 45 [size =\"7580672\"]\n  34 -> 46 [size =\"7580672\"]\n  34 -> 47 [size =\"7580672\"]\n  35 [size=\"48746496\", alpha=\"0.08\", expect_size=\"24373248\"] \n  35 -> 42 [size =\"24373248\"]\n  35 -> 45 [size =\"24373248\"]\n  35 -> 49 [size =\"24373248\"]\n  35 -> 50 [size =\"24373248\"]\n  36 [size=\"44574720\", alpha=\"0.18\", expect_size=\"22287360\"] \n  36 -> 45 [size =\"22287360\"]\n  36 -> 48 [size =\"22287360\"]\n  37 [size=\"32485376\", alpha=\"0.11\", expect_size=\"16242688\"] \n  37 -> 41 [size =\"16242688\"]\n  37 -> 44 [size =\"16242688\"]\n  37 -> 46 [size =\"16242688\"]\n  37 -> 48 [size =\"16242688\"]\n  38 [size=\"33069056\", alpha=\"0.19\", expect_size=\"16534528\"] \n  38 -> 41 [size =\"16534528\"]\n  38 -> 45 [size =\"16534528\"]\n  38 -> 47 [size =\"16534528\"]\n  38 -> 48 [size =\"16534528\"]\n  38 -> 50 [size =\"16534528\"]\n  39 [size=\"42975232\", alpha=\"0.03\", expect_size=\"21487616\"] \n  39 -> 41 [size =\"21487616\"]\n  39 -> 44 [size =\"21487616\"]\n  39 -> 47 [size =\"21487616\"]\n  39 -> 48 [size =\"21487616\"]\n  40 [size=\"80605184\", alpha=\"0.14\", expect_size=\"40302592\"] \n  40 -> 41 [size =\"40302592\"]\n  40 -> 45 [size =\"40302592\"]\n  40 -> 48 [size =\"40302592\"]\n  40 -> 48 [size =\"40302592\"]\n  40 -> 50 [size =\"40302592\"]\n  41 [size=\"60702720\", alpha=\"0.03\", expect_size=\"30351360\"] \n  42 [size=\"16033792\", alpha=\"0.13\", expect_size=\"8016896\"] \n  43 [size=\"36241408\", alpha=\"0.12\", expect_size=\"18120704\"] \n  44 [size=\"46225408\", alpha=\"0.07\", expect_size=\"23112704\"] \n  45 [size=\"71786496\", alpha=\"0.05\", expect_size=\"35893248\"] \n  46 [size=\"17487872\", alpha=\"0.10\", expect_size=\"8743936\"] \n  47 [size=\"100671488\", alpha=\"0.02\", expect_size=\"50335744\"] \n  48 [size=\"60385280\", alpha=\"0.14\", expect_size=\"30192640\"] \n  49 [size=\"57968640\", alpha=\"0.08\", expect_size=\"28984320\"] \n  50 [size=\"69816320\", alpha=\"0.02\", expect_size=\"34908160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.129.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81339733\", alpha=\"0.12\", expect_size=\"24401920\"] \n  1 -> 5 [size =\"24401920\"]\n  1 -> 8 [size =\"24401920\"]\n  2 [size=\"149930667\", alpha=\"0.16\", expect_size=\"44979200\"] \n  2 -> 8 [size =\"44979200\"]\n  3 [size=\"144394240\", alpha=\"0.13\", expect_size=\"43318272\"] \n  3 -> 6 [size =\"43318272\"]\n  3 -> 7 [size =\"43318272\"]\n  4 [size=\"70570667\", alpha=\"0.05\", expect_size=\"21171200\"] \n  4 -> 5 [size =\"21171200\"]\n  4 -> 6 [size =\"21171200\"]\n  4 -> 7 [size =\"21171200\"]\n  5 [size=\"73216000\", alpha=\"0.17\", expect_size=\"21964800\"] \n  5 -> 9 [size =\"21964800\"]\n  5 -> 10 [size =\"21964800\"]\n  5 -> 11 [size =\"21964800\"]\n  6 [size=\"48387413\", alpha=\"0.10\", expect_size=\"14516224\"] \n  6 -> 10 [size =\"14516224\"]\n  6 -> 13 [size =\"14516224\"]\n  7 [size=\"33583787\", alpha=\"0.16\", expect_size=\"10075136\"] \n  7 -> 12 [size =\"10075136\"]\n  8 [size=\"129119573\", alpha=\"0.18\", expect_size=\"38735872\"] \n  8 -> 9 [size =\"38735872\"]\n  8 -> 11 [size =\"38735872\"]\n  8 -> 13 [size =\"38735872\"]\n  9 [size=\"140755627\", alpha=\"0.13\", expect_size=\"42226688\"] \n  9 -> 14 [size =\"42226688\"]\n  9 -> 15 [size =\"42226688\"]\n  9 -> 16 [size =\"42226688\"]\n  9 -> 18 [size =\"42226688\"]\n  9 -> 19 [size =\"42226688\"]\n  10 [size=\"56995840\", alpha=\"0.13\", expect_size=\"17098752\"] \n  10 -> 14 [size =\"17098752\"]\n  10 -> 16 [size =\"17098752\"]\n  11 [size=\"110540800\", alpha=\"0.16\", expect_size=\"33162240\"] \n  11 -> 15 [size =\"33162240\"]\n  11 -> 17 [size =\"33162240\"]\n  11 -> 18 [size =\"33162240\"]\n  11 -> 20 [size =\"33162240\"]\n  11 -> 21 [size =\"33162240\"]\n  12 [size=\"45045760\", alpha=\"0.09\", expect_size=\"13513728\"] \n  12 -> 15 [size =\"13513728\"]\n  13 [size=\"172963840\", alpha=\"0.18\", expect_size=\"51889152\"] \n  13 -> 17 [size =\"51889152\"]\n  13 -> 19 [size =\"51889152\"]\n  14 [size=\"121245013\", alpha=\"0.19\", expect_size=\"36373504\"] \n  15 [size=\"160218453\", alpha=\"0.15\", expect_size=\"48065536\"] \n  16 [size=\"139987627\", alpha=\"0.03\", expect_size=\"41996288\"] \n  16 -> 22 [size =\"41996288\"]\n  17 [size=\"59484160\", alpha=\"0.15\", expect_size=\"17845248\"] \n  17 -> 26 [size =\"17845248\"]\n  17 -> 27 [size =\"17845248\"]\n  18 [size=\"31327573\", alpha=\"0.19\", expect_size=\"9398272\"] \n  18 -> 23 [size =\"9398272\"]\n  19 [size=\"174414507\", alpha=\"0.07\", expect_size=\"52324352\"] \n  19 -> 25 [size =\"52324352\"]\n  20 [size=\"117405013\", alpha=\"0.11\", expect_size=\"35221504\"] \n  20 -> 25 [size =\"35221504\"]\n  21 [size=\"60146347\", alpha=\"0.03\", expect_size=\"18043904\"] \n  21 -> 24 [size =\"18043904\"]\n  21 -> 25 [size =\"18043904\"]\n  22 [size=\"31604053\", alpha=\"0.12\", expect_size=\"9481216\"] \n  22 -> 31 [size =\"9481216\"]\n  22 -> 35 [size =\"9481216\"]\n  23 [size=\"105574400\", alpha=\"0.18\", expect_size=\"31672320\"] \n  23 -> 32 [size =\"31672320\"]\n  23 -> 33 [size =\"31672320\"]\n  24 [size=\"89255253\", alpha=\"0.10\", expect_size=\"26776576\"] \n  24 -> 29 [size =\"26776576\"]\n  24 -> 30 [size =\"26776576\"]\n  24 -> 32 [size =\"26776576\"]\n  24 -> 33 [size =\"26776576\"]\n  25 [size=\"82814293\", alpha=\"0.09\", expect_size=\"24844288\"] \n  25 -> 28 [size =\"24844288\"]\n  25 -> 33 [size =\"24844288\"]\n  26 [size=\"42557440\", alpha=\"0.12\", expect_size=\"12767232\"] \n  26 -> 29 [size =\"12767232\"]\n  26 -> 34 [size =\"12767232\"]\n  27 [size=\"68133547\", alpha=\"0.17\", expect_size=\"20440064\"] \n  27 -> 28 [size =\"20440064\"]\n  27 -> 29 [size =\"20440064\"]\n  27 -> 31 [size =\"20440064\"]\n  27 -> 32 [size =\"20440064\"]\n  28 [size=\"31109120\", alpha=\"0.16\", expect_size=\"9332736\"] \n  28 -> 36 [size =\"9332736\"]\n  28 -> 39 [size =\"9332736\"]\n  28 -> 40 [size =\"9332736\"]\n  28 -> 42 [size =\"9332736\"]\n  28 -> 44 [size =\"9332736\"]\n  28 -> 45 [size =\"9332736\"]\n  29 [size=\"20036267\", alpha=\"0.11\", expect_size=\"6010880\"] \n  29 -> 38 [size =\"6010880\"]\n  29 -> 42 [size =\"6010880\"]\n  29 -> 43 [size =\"6010880\"]\n  29 -> 44 [size =\"6010880\"]\n  30 [size=\"75704320\", alpha=\"0.11\", expect_size=\"22711296\"] \n  30 -> 38 [size =\"22711296\"]\n  30 -> 44 [size =\"22711296\"]\n  30 -> 45 [size =\"22711296\"]\n  31 [size=\"163676160\", alpha=\"0.03\", expect_size=\"49102848\"] \n  31 -> 41 [size =\"49102848\"]\n  31 -> 42 [size =\"49102848\"]\n  31 -> 45 [size =\"49102848\"]\n  32 [size=\"33239040\", alpha=\"0.18\", expect_size=\"9971712\"] \n  32 -> 39 [size =\"9971712\"]\n  32 -> 44 [size =\"9971712\"]\n  33 [size=\"131423573\", alpha=\"0.13\", expect_size=\"39427072\"] \n  33 -> 36 [size =\"39427072\"]\n  33 -> 37 [size =\"39427072\"]\n  34 [size=\"113291947\", alpha=\"0.01\", expect_size=\"33987584\"] \n  34 -> 38 [size =\"33987584\"]\n  34 -> 42 [size =\"33987584\"]\n  35 [size=\"31935147\", alpha=\"0.07\", expect_size=\"9580544\"] \n  35 -> 36 [size =\"9580544\"]\n  35 -> 40 [size =\"9580544\"]\n  35 -> 45 [size =\"9580544\"]\n  36 [size=\"100386133\", alpha=\"0.09\", expect_size=\"30115840\"] \n  36 -> 47 [size =\"30115840\"]\n  36 -> 49 [size =\"30115840\"]\n  36 -> 50 [size =\"30115840\"]\n  37 [size=\"34979840\", alpha=\"0.17\", expect_size=\"10493952\"] \n  38 [size=\"166400000\", alpha=\"0.06\", expect_size=\"49920000\"] \n  38 -> 46 [size =\"49920000\"]\n  39 [size=\"134427307\", alpha=\"0.15\", expect_size=\"40328192\"] \n  39 -> 46 [size =\"40328192\"]\n  39 -> 48 [size =\"40328192\"]\n  39 -> 49 [size =\"40328192\"]\n  39 -> 50 [size =\"40328192\"]\n  40 [size=\"62347947\", alpha=\"0.17\", expect_size=\"18704384\"] \n  40 -> 47 [size =\"18704384\"]\n  40 -> 49 [size =\"18704384\"]\n  41 [size=\"146967893\", alpha=\"0.04\", expect_size=\"44090368\"] \n  42 [size=\"166785707\", alpha=\"0.13\", expect_size=\"50035712\"] \n  42 -> 46 [size =\"50035712\"]\n  42 -> 47 [size =\"50035712\"]\n  42 -> 49 [size =\"50035712\"]\n  43 [size=\"149370880\", alpha=\"0.13\", expect_size=\"44811264\"] \n  43 -> 47 [size =\"44811264\"]\n  43 -> 49 [size =\"44811264\"]\n  43 -> 50 [size =\"44811264\"]\n  44 [size=\"92924587\", alpha=\"0.02\", expect_size=\"27877376\"] \n  44 -> 46 [size =\"27877376\"]\n  44 -> 50 [size =\"27877376\"]\n  45 [size=\"101222400\", alpha=\"0.20\", expect_size=\"30366720\"] \n  45 -> 46 [size =\"30366720\"]\n  45 -> 47 [size =\"30366720\"]\n  45 -> 48 [size =\"30366720\"]\n  46 [size=\"159716693\", alpha=\"0.00\", expect_size=\"47915008\"] \n  47 [size=\"76352853\", alpha=\"0.08\", expect_size=\"22905856\"] \n  48 [size=\"50418347\", alpha=\"0.17\", expect_size=\"15125504\"] \n  49 [size=\"95771307\", alpha=\"0.06\", expect_size=\"28731392\"] \n  50 [size=\"54773760\", alpha=\"0.03\", expect_size=\"16432128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121766400\", alpha=\"0.17\", expect_size=\"48706560\"] \n  1 -> 6 [size =\"48706560\"]\n  1 -> 7 [size =\"48706560\"]\n  2 [size=\"125995520\", alpha=\"0.14\", expect_size=\"50398208\"] \n  2 -> 7 [size =\"50398208\"]\n  2 -> 10 [size =\"50398208\"]\n  3 [size=\"44810240\", alpha=\"0.13\", expect_size=\"17924096\"] \n  3 -> 6 [size =\"17924096\"]\n  3 -> 7 [size =\"17924096\"]\n  3 -> 8 [size =\"17924096\"]\n  3 -> 9 [size =\"17924096\"]\n  4 [size=\"130462720\", alpha=\"0.07\", expect_size=\"52185088\"] \n  4 -> 9 [size =\"52185088\"]\n  4 -> 10 [size =\"52185088\"]\n  4 -> 11 [size =\"52185088\"]\n  5 [size=\"62197760\", alpha=\"0.08\", expect_size=\"24879104\"] \n  5 -> 8 [size =\"24879104\"]\n  5 -> 10 [size =\"24879104\"]\n  5 -> 11 [size =\"24879104\"]\n  6 [size=\"113054720\", alpha=\"0.06\", expect_size=\"45221888\"] \n  6 -> 13 [size =\"45221888\"]\n  6 -> 18 [size =\"45221888\"]\n  6 -> 19 [size =\"45221888\"]\n  7 [size=\"14172160\", alpha=\"0.13\", expect_size=\"5668864\"] \n  7 -> 14 [size =\"5668864\"]\n  7 -> 16 [size =\"5668864\"]\n  7 -> 17 [size =\"5668864\"]\n  7 -> 18 [size =\"5668864\"]\n  7 -> 19 [size =\"5668864\"]\n  8 [size=\"44093440\", alpha=\"0.17\", expect_size=\"17637376\"] \n  8 -> 12 [size =\"17637376\"]\n  8 -> 16 [size =\"17637376\"]\n  9 [size=\"93022720\", alpha=\"0.04\", expect_size=\"37209088\"] \n  9 -> 14 [size =\"37209088\"]\n  9 -> 16 [size =\"37209088\"]\n  10 [size=\"81853440\", alpha=\"0.04\", expect_size=\"32741376\"] \n  10 -> 14 [size =\"32741376\"]\n  10 -> 15 [size =\"32741376\"]\n  10 -> 17 [size =\"32741376\"]\n  11 [size=\"58895360\", alpha=\"0.02\", expect_size=\"23558144\"] \n  11 -> 15 [size =\"23558144\"]\n  11 -> 16 [size =\"23558144\"]\n  11 -> 17 [size =\"23558144\"]\n  12 [size=\"43381760\", alpha=\"0.17\", expect_size=\"17352704\"] \n  12 -> 23 [size =\"17352704\"]\n  12 -> 24 [size =\"17352704\"]\n  13 [size=\"125642240\", alpha=\"0.04\", expect_size=\"50256896\"] \n  13 -> 20 [size =\"50256896\"]\n  13 -> 21 [size =\"50256896\"]\n  13 -> 23 [size =\"50256896\"]\n  13 -> 24 [size =\"50256896\"]\n  13 -> 25 [size =\"50256896\"]\n  14 [size=\"86871040\", alpha=\"0.11\", expect_size=\"34748416\"] \n  14 -> 24 [size =\"34748416\"]\n  15 [size=\"130355200\", alpha=\"0.02\", expect_size=\"52142080\"] \n  16 [size=\"59412480\", alpha=\"0.15\", expect_size=\"23764992\"] \n  16 -> 23 [size =\"23764992\"]\n  17 [size=\"96015360\", alpha=\"0.02\", expect_size=\"38406144\"] \n  17 -> 20 [size =\"38406144\"]\n  17 -> 25 [size =\"38406144\"]\n  18 [size=\"53985280\", alpha=\"0.11\", expect_size=\"21594112\"] \n  18 -> 22 [size =\"21594112\"]\n  19 [size=\"38904320\", alpha=\"0.19\", expect_size=\"15561728\"] \n  19 -> 20 [size =\"15561728\"]\n  19 -> 24 [size =\"15561728\"]\n  19 -> 25 [size =\"15561728\"]\n  20 [size=\"61944320\", alpha=\"0.20\", expect_size=\"24777728\"] \n  20 -> 29 [size =\"24777728\"]\n  20 -> 30 [size =\"24777728\"]\n  20 -> 31 [size =\"24777728\"]\n  21 [size=\"87383040\", alpha=\"0.18\", expect_size=\"34953216\"] \n  21 -> 28 [size =\"34953216\"]\n  21 -> 29 [size =\"34953216\"]\n  21 -> 31 [size =\"34953216\"]\n  22 [size=\"97464320\", alpha=\"0.16\", expect_size=\"38985728\"] \n  22 -> 28 [size =\"38985728\"]\n  22 -> 29 [size =\"38985728\"]\n  22 -> 32 [size =\"38985728\"]\n  23 [size=\"77450240\", alpha=\"0.20\", expect_size=\"30980096\"] \n  23 -> 27 [size =\"30980096\"]\n  23 -> 32 [size =\"30980096\"]\n  24 [size=\"100992000\", alpha=\"0.03\", expect_size=\"40396800\"] \n  24 -> 26 [size =\"40396800\"]\n  24 -> 31 [size =\"40396800\"]\n  25 [size=\"46251520\", alpha=\"0.14\", expect_size=\"18500608\"] \n  25 -> 31 [size =\"18500608\"]\n  25 -> 32 [size =\"18500608\"]\n  25 -> 33 [size =\"18500608\"]\n  26 [size=\"58931200\", alpha=\"0.03\", expect_size=\"23572480\"] \n  26 -> 35 [size =\"23572480\"]\n  26 -> 36 [size =\"23572480\"]\n  26 -> 39 [size =\"23572480\"]\n  27 [size=\"31493120\", alpha=\"0.11\", expect_size=\"12597248\"] \n  27 -> 35 [size =\"12597248\"]\n  27 -> 36 [size =\"12597248\"]\n  27 -> 38 [size =\"12597248\"]\n  28 [size=\"41059840\", alpha=\"0.05\", expect_size=\"16423936\"] \n  28 -> 35 [size =\"16423936\"]\n  28 -> 38 [size =\"16423936\"]\n  29 [size=\"105871360\", alpha=\"0.13\", expect_size=\"42348544\"] \n  29 -> 38 [size =\"42348544\"]\n  30 [size=\"100958720\", alpha=\"0.12\", expect_size=\"40383488\"] \n  30 -> 36 [size =\"40383488\"]\n  30 -> 39 [size =\"40383488\"]\n  30 -> 40 [size =\"40383488\"]\n  31 [size=\"98173440\", alpha=\"0.19\", expect_size=\"39269376\"] \n  31 -> 34 [size =\"39269376\"]\n  31 -> 37 [size =\"39269376\"]\n  31 -> 40 [size =\"39269376\"]\n  32 [size=\"88212480\", alpha=\"0.11\", expect_size=\"35284992\"] \n  32 -> 35 [size =\"35284992\"]\n  32 -> 36 [size =\"35284992\"]\n  32 -> 38 [size =\"35284992\"]\n  32 -> 39 [size =\"35284992\"]\n  33 [size=\"65999360\", alpha=\"0.02\", expect_size=\"26399744\"] \n  33 -> 35 [size =\"26399744\"]\n  33 -> 36 [size =\"26399744\"]\n  33 -> 40 [size =\"26399744\"]\n  34 [size=\"63239680\", alpha=\"0.05\", expect_size=\"25295872\"] \n  35 [size=\"79324160\", alpha=\"0.09\", expect_size=\"31729664\"] \n  35 -> 44 [size =\"31729664\"]\n  36 [size=\"45378560\", alpha=\"0.00\", expect_size=\"18151424\"] \n  37 [size=\"61350400\", alpha=\"0.05\", expect_size=\"24540160\"] \n  37 -> 41 [size =\"24540160\"]\n  37 -> 43 [size =\"24540160\"]\n  38 [size=\"128309760\", alpha=\"0.18\", expect_size=\"51323904\"] \n  38 -> 41 [size =\"51323904\"]\n  38 -> 42 [size =\"51323904\"]\n  39 [size=\"41310720\", alpha=\"0.14\", expect_size=\"16524288\"] \n  39 -> 41 [size =\"16524288\"]\n  40 [size=\"116200960\", alpha=\"0.19\", expect_size=\"46480384\"] \n  41 [size=\"67832320\", alpha=\"0.17\", expect_size=\"27132928\"] \n  42 [size=\"59960320\", alpha=\"0.09\", expect_size=\"23984128\"] \n  42 -> 47 [size =\"23984128\"]\n  42 -> 48 [size =\"23984128\"]\n  42 -> 49 [size =\"23984128\"]\n  42 -> 50 [size =\"23984128\"]\n  43 [size=\"122862080\", alpha=\"0.12\", expect_size=\"49144832\"] \n  43 -> 45 [size =\"49144832\"]\n  43 -> 49 [size =\"49144832\"]\n  44 [size=\"15173120\", alpha=\"0.09\", expect_size=\"6069248\"] \n  44 -> 46 [size =\"6069248\"]\n  44 -> 47 [size =\"6069248\"]\n  44 -> 49 [size =\"6069248\"]\n  45 [size=\"46594560\", alpha=\"0.13\", expect_size=\"18637824\"] \n  46 [size=\"98442240\", alpha=\"0.04\", expect_size=\"39376896\"] \n  47 [size=\"99059200\", alpha=\"0.18\", expect_size=\"39623680\"] \n  48 [size=\"13388800\", alpha=\"0.17\", expect_size=\"5355520\"] \n  49 [size=\"118241280\", alpha=\"0.11\", expect_size=\"47296512\"] \n  50 [size=\"85521920\", alpha=\"0.01\", expect_size=\"34208768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.130.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74291200\", alpha=\"0.12\", expect_size=\"29716480\"] \n  2 [size=\"32924160\", alpha=\"0.08\", expect_size=\"13169664\"] \n  2 -> 8 [size =\"13169664\"]\n  2 -> 9 [size =\"13169664\"]\n  2 -> 10 [size =\"13169664\"]\n  3 [size=\"47636480\", alpha=\"0.11\", expect_size=\"19054592\"] \n  3 -> 13 [size =\"19054592\"]\n  4 [size=\"56670720\", alpha=\"0.01\", expect_size=\"22668288\"] \n  4 -> 9 [size =\"22668288\"]\n  4 -> 10 [size =\"22668288\"]\n  4 -> 11 [size =\"22668288\"]\n  4 -> 12 [size =\"22668288\"]\n  5 [size=\"72445440\", alpha=\"0.16\", expect_size=\"28978176\"] \n  5 -> 7 [size =\"28978176\"]\n  5 -> 9 [size =\"28978176\"]\n  5 -> 11 [size =\"28978176\"]\n  5 -> 13 [size =\"28978176\"]\n  6 [size=\"124410880\", alpha=\"0.09\", expect_size=\"49764352\"] \n  6 -> 7 [size =\"49764352\"]\n  6 -> 9 [size =\"49764352\"]\n  6 -> 13 [size =\"49764352\"]\n  7 [size=\"16378880\", alpha=\"0.10\", expect_size=\"6551552\"] \n  7 -> 15 [size =\"6551552\"]\n  7 -> 16 [size =\"6551552\"]\n  7 -> 19 [size =\"6551552\"]\n  8 [size=\"112724480\", alpha=\"0.16\", expect_size=\"45089792\"] \n  8 -> 16 [size =\"45089792\"]\n  8 -> 18 [size =\"45089792\"]\n  9 [size=\"101107200\", alpha=\"0.14\", expect_size=\"40442880\"] \n  9 -> 14 [size =\"40442880\"]\n  9 -> 15 [size =\"40442880\"]\n  9 -> 18 [size =\"40442880\"]\n  9 -> 20 [size =\"40442880\"]\n  10 [size=\"22912000\", alpha=\"0.08\", expect_size=\"9164800\"] \n  10 -> 14 [size =\"9164800\"]\n  10 -> 15 [size =\"9164800\"]\n  10 -> 16 [size =\"9164800\"]\n  10 -> 19 [size =\"9164800\"]\n  10 -> 20 [size =\"9164800\"]\n  11 [size=\"73912320\", alpha=\"0.15\", expect_size=\"29564928\"] \n  11 -> 14 [size =\"29564928\"]\n  11 -> 15 [size =\"29564928\"]\n  11 -> 17 [size =\"29564928\"]\n  11 -> 20 [size =\"29564928\"]\n  11 -> 20 [size =\"29564928\"]\n  12 [size=\"27276800\", alpha=\"0.14\", expect_size=\"10910720\"] \n  12 -> 14 [size =\"10910720\"]\n  12 -> 16 [size =\"10910720\"]\n  12 -> 18 [size =\"10910720\"]\n  13 [size=\"76736000\", alpha=\"0.01\", expect_size=\"30694400\"] \n  13 -> 14 [size =\"30694400\"]\n  13 -> 16 [size =\"30694400\"]\n  13 -> 19 [size =\"30694400\"]\n  13 -> 20 [size =\"30694400\"]\n  14 [size=\"22146560\", alpha=\"0.00\", expect_size=\"8858624\"] \n  14 -> 21 [size =\"8858624\"]\n  14 -> 22 [size =\"8858624\"]\n  14 -> 23 [size =\"8858624\"]\n  15 [size=\"30958080\", alpha=\"0.08\", expect_size=\"12383232\"] \n  15 -> 21 [size =\"12383232\"]\n  16 [size=\"123056640\", alpha=\"0.06\", expect_size=\"49222656\"] \n  16 -> 22 [size =\"49222656\"]\n  17 [size=\"58298880\", alpha=\"0.16\", expect_size=\"23319552\"] \n  17 -> 22 [size =\"23319552\"]\n  17 -> 25 [size =\"23319552\"]\n  17 -> 26 [size =\"23319552\"]\n  18 [size=\"118563840\", alpha=\"0.04\", expect_size=\"47425536\"] \n  18 -> 26 [size =\"47425536\"]\n  19 [size=\"96975360\", alpha=\"0.09\", expect_size=\"38790144\"] \n  19 -> 23 [size =\"38790144\"]\n  19 -> 24 [size =\"38790144\"]\n  19 -> 25 [size =\"38790144\"]\n  19 -> 26 [size =\"38790144\"]\n  20 [size=\"59904000\", alpha=\"0.19\", expect_size=\"23961600\"] \n  20 -> 22 [size =\"23961600\"]\n  20 -> 25 [size =\"23961600\"]\n  20 -> 27 [size =\"23961600\"]\n  21 [size=\"107914240\", alpha=\"0.19\", expect_size=\"43165696\"] \n  21 -> 28 [size =\"43165696\"]\n  21 -> 30 [size =\"43165696\"]\n  21 -> 31 [size =\"43165696\"]\n  22 [size=\"79590400\", alpha=\"0.03\", expect_size=\"31836160\"] \n  22 -> 28 [size =\"31836160\"]\n  22 -> 29 [size =\"31836160\"]\n  22 -> 32 [size =\"31836160\"]\n  22 -> 33 [size =\"31836160\"]\n  23 [size=\"46021120\", alpha=\"0.12\", expect_size=\"18408448\"] \n  23 -> 29 [size =\"18408448\"]\n  23 -> 32 [size =\"18408448\"]\n  23 -> 33 [size =\"18408448\"]\n  24 [size=\"53342720\", alpha=\"0.09\", expect_size=\"21337088\"] \n  24 -> 28 [size =\"21337088\"]\n  24 -> 30 [size =\"21337088\"]\n  24 -> 31 [size =\"21337088\"]\n  25 [size=\"54894080\", alpha=\"0.16\", expect_size=\"21957632\"] \n  25 -> 30 [size =\"21957632\"]\n  25 -> 31 [size =\"21957632\"]\n  26 [size=\"103132160\", alpha=\"0.01\", expect_size=\"41252864\"] \n  26 -> 30 [size =\"41252864\"]\n  26 -> 31 [size =\"41252864\"]\n  26 -> 32 [size =\"41252864\"]\n  26 -> 33 [size =\"41252864\"]\n  27 [size=\"19328000\", alpha=\"0.08\", expect_size=\"7731200\"] \n  27 -> 29 [size =\"7731200\"]\n  28 [size=\"112074240\", alpha=\"0.11\", expect_size=\"44829696\"] \n  28 -> 37 [size =\"44829696\"]\n  29 [size=\"16258560\", alpha=\"0.09\", expect_size=\"6503424\"] \n  29 -> 34 [size =\"6503424\"]\n  29 -> 36 [size =\"6503424\"]\n  29 -> 38 [size =\"6503424\"]\n  30 [size=\"69931520\", alpha=\"0.09\", expect_size=\"27972608\"] \n  30 -> 36 [size =\"27972608\"]\n  30 -> 36 [size =\"27972608\"]\n  30 -> 38 [size =\"27972608\"]\n  31 [size=\"63587840\", alpha=\"0.19\", expect_size=\"25435136\"] \n  31 -> 34 [size =\"25435136\"]\n  31 -> 36 [size =\"25435136\"]\n  31 -> 37 [size =\"25435136\"]\n  31 -> 38 [size =\"25435136\"]\n  31 -> 39 [size =\"25435136\"]\n  32 [size=\"58411520\", alpha=\"0.11\", expect_size=\"23364608\"] \n  32 -> 35 [size =\"23364608\"]\n  32 -> 37 [size =\"23364608\"]\n  33 [size=\"74219520\", alpha=\"0.15\", expect_size=\"29687808\"] \n  33 -> 34 [size =\"29687808\"]\n  33 -> 35 [size =\"29687808\"]\n  33 -> 36 [size =\"29687808\"]\n  34 [size=\"27581440\", alpha=\"0.19\", expect_size=\"11032576\"] \n  34 -> 43 [size =\"11032576\"]\n  34 -> 45 [size =\"11032576\"]\n  34 -> 46 [size =\"11032576\"]\n  35 [size=\"80025600\", alpha=\"0.07\", expect_size=\"32010240\"] \n  35 -> 40 [size =\"32010240\"]\n  35 -> 43 [size =\"32010240\"]\n  35 -> 45 [size =\"32010240\"]\n  36 [size=\"54960640\", alpha=\"0.14\", expect_size=\"21984256\"] \n  36 -> 42 [size =\"21984256\"]\n  36 -> 45 [size =\"21984256\"]\n  37 [size=\"63692800\", alpha=\"0.08\", expect_size=\"25477120\"] \n  37 -> 42 [size =\"25477120\"]\n  37 -> 44 [size =\"25477120\"]\n  37 -> 46 [size =\"25477120\"]\n  38 [size=\"109496320\", alpha=\"0.20\", expect_size=\"43798528\"] \n  38 -> 41 [size =\"43798528\"]\n  38 -> 42 [size =\"43798528\"]\n  38 -> 43 [size =\"43798528\"]\n  38 -> 44 [size =\"43798528\"]\n  38 -> 46 [size =\"43798528\"]\n  39 [size=\"56058880\", alpha=\"0.06\", expect_size=\"22423552\"] \n  39 -> 42 [size =\"22423552\"]\n  39 -> 43 [size =\"22423552\"]\n  39 -> 45 [size =\"22423552\"]\n  39 -> 46 [size =\"22423552\"]\n  39 -> 46 [size =\"22423552\"]\n  40 [size=\"109347840\", alpha=\"0.00\", expect_size=\"43739136\"] \n  40 -> 48 [size =\"43739136\"]\n  41 [size=\"43240960\", alpha=\"0.10\", expect_size=\"17296384\"] \n  41 -> 48 [size =\"17296384\"]\n  42 [size=\"36508160\", alpha=\"0.12\", expect_size=\"14603264\"] \n  42 -> 47 [size =\"14603264\"]\n  42 -> 50 [size =\"14603264\"]\n  43 [size=\"103319040\", alpha=\"0.19\", expect_size=\"41327616\"] \n  43 -> 47 [size =\"41327616\"]\n  43 -> 48 [size =\"41327616\"]\n  43 -> 49 [size =\"41327616\"]\n  43 -> 50 [size =\"41327616\"]\n  44 [size=\"71377920\", alpha=\"0.13\", expect_size=\"28551168\"] \n  44 -> 49 [size =\"28551168\"]\n  45 [size=\"67686400\", alpha=\"0.14\", expect_size=\"27074560\"] \n  46 [size=\"110097920\", alpha=\"0.10\", expect_size=\"44039168\"] \n  46 -> 47 [size =\"44039168\"]\n  46 -> 48 [size =\"44039168\"]\n  47 [size=\"72632320\", alpha=\"0.07\", expect_size=\"29052928\"] \n  48 [size=\"118448640\", alpha=\"0.01\", expect_size=\"47379456\"] \n  49 [size=\"117076480\", alpha=\"0.16\", expect_size=\"46830592\"] \n  50 [size=\"34421760\", alpha=\"0.00\", expect_size=\"13768704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.131.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120248320\", alpha=\"0.13\", expect_size=\"48099328\"] \n  1 -> 2 [size =\"48099328\"]\n  2 [size=\"25454080\", alpha=\"0.10\", expect_size=\"10181632\"] \n  2 -> 3 [size =\"10181632\"]\n  3 [size=\"16291840\", alpha=\"0.08\", expect_size=\"6516736\"] \n  3 -> 4 [size =\"6516736\"]\n  4 [size=\"41269760\", alpha=\"0.01\", expect_size=\"16507904\"] \n  4 -> 5 [size =\"16507904\"]\n  5 [size=\"128371200\", alpha=\"0.03\", expect_size=\"51348480\"] \n  5 -> 6 [size =\"51348480\"]\n  6 [size=\"99084800\", alpha=\"0.19\", expect_size=\"39633920\"] \n  6 -> 7 [size =\"39633920\"]\n  7 [size=\"122708480\", alpha=\"0.07\", expect_size=\"49083392\"] \n  7 -> 8 [size =\"49083392\"]\n  8 [size=\"90703360\", alpha=\"0.16\", expect_size=\"36281344\"] \n  8 -> 9 [size =\"36281344\"]\n  9 [size=\"89999360\", alpha=\"0.10\", expect_size=\"35999744\"] \n  9 -> 10 [size =\"35999744\"]\n  10 [size=\"62668800\", alpha=\"0.02\", expect_size=\"25067520\"] \n  10 -> 11 [size =\"25067520\"]\n  11 [size=\"76298240\", alpha=\"0.17\", expect_size=\"30519296\"] \n  11 -> 12 [size =\"30519296\"]\n  12 [size=\"32770560\", alpha=\"0.05\", expect_size=\"13108224\"] \n  12 -> 13 [size =\"13108224\"]\n  13 [size=\"89827840\", alpha=\"0.13\", expect_size=\"35931136\"] \n  13 -> 14 [size =\"35931136\"]\n  14 [size=\"17384960\", alpha=\"0.01\", expect_size=\"6953984\"] \n  14 -> 15 [size =\"6953984\"]\n  15 [size=\"21621760\", alpha=\"0.12\", expect_size=\"8648704\"] \n  15 -> 16 [size =\"8648704\"]\n  16 [size=\"40371200\", alpha=\"0.02\", expect_size=\"16148480\"] \n  16 -> 17 [size =\"16148480\"]\n  17 [size=\"34442240\", alpha=\"0.11\", expect_size=\"13776896\"] \n  17 -> 18 [size =\"13776896\"]\n  18 [size=\"78389760\", alpha=\"0.11\", expect_size=\"31355904\"] \n  18 -> 19 [size =\"31355904\"]\n  19 [size=\"53596160\", alpha=\"0.13\", expect_size=\"21438464\"] \n  19 -> 20 [size =\"21438464\"]\n  20 [size=\"110919680\", alpha=\"0.15\", expect_size=\"44367872\"] \n  20 -> 21 [size =\"44367872\"]\n  21 [size=\"120737280\", alpha=\"0.15\", expect_size=\"48294912\"] \n  21 -> 22 [size =\"48294912\"]\n  22 [size=\"100935680\", alpha=\"0.17\", expect_size=\"40374272\"] \n  22 -> 23 [size =\"40374272\"]\n  23 [size=\"14981120\", alpha=\"0.00\", expect_size=\"5992448\"] \n  23 -> 24 [size =\"5992448\"]\n  24 [size=\"93224960\", alpha=\"0.08\", expect_size=\"37289984\"] \n  24 -> 25 [size =\"37289984\"]\n  25 [size=\"97236480\", alpha=\"0.15\", expect_size=\"38894592\"] \n  25 -> 26 [size =\"38894592\"]\n  26 [size=\"51555840\", alpha=\"0.16\", expect_size=\"20622336\"] \n  26 -> 27 [size =\"20622336\"]\n  27 [size=\"64158720\", alpha=\"0.17\", expect_size=\"25663488\"] \n  27 -> 28 [size =\"25663488\"]\n  28 [size=\"128030720\", alpha=\"0.10\", expect_size=\"51212288\"] \n  28 -> 29 [size =\"51212288\"]\n  29 [size=\"74216960\", alpha=\"0.17\", expect_size=\"29686784\"] \n  29 -> 30 [size =\"29686784\"]\n  30 [size=\"31928320\", alpha=\"0.11\", expect_size=\"12771328\"] \n  30 -> 31 [size =\"12771328\"]\n  31 [size=\"119362560\", alpha=\"0.17\", expect_size=\"47745024\"] \n  31 -> 32 [size =\"47745024\"]\n  32 [size=\"89761280\", alpha=\"0.06\", expect_size=\"35904512\"] \n  32 -> 33 [size =\"35904512\"]\n  33 [size=\"73441280\", alpha=\"0.08\", expect_size=\"29376512\"] \n  33 -> 34 [size =\"29376512\"]\n  34 [size=\"73587200\", alpha=\"0.10\", expect_size=\"29434880\"] \n  34 -> 35 [size =\"29434880\"]\n  35 [size=\"118361600\", alpha=\"0.15\", expect_size=\"47344640\"] \n  35 -> 36 [size =\"47344640\"]\n  36 [size=\"87101440\", alpha=\"0.03\", expect_size=\"34840576\"] \n  36 -> 37 [size =\"34840576\"]\n  37 [size=\"65781760\", alpha=\"0.16\", expect_size=\"26312704\"] \n  37 -> 38 [size =\"26312704\"]\n  38 [size=\"46044160\", alpha=\"0.19\", expect_size=\"18417664\"] \n  38 -> 39 [size =\"18417664\"]\n  39 [size=\"105484800\", alpha=\"0.09\", expect_size=\"42193920\"] \n  39 -> 40 [size =\"42193920\"]\n  40 [size=\"85068800\", alpha=\"0.16\", expect_size=\"34027520\"] \n  40 -> 41 [size =\"34027520\"]\n  41 [size=\"34355200\", alpha=\"0.01\", expect_size=\"13742080\"] \n  41 -> 42 [size =\"13742080\"]\n  42 [size=\"16542720\", alpha=\"0.01\", expect_size=\"6617088\"] \n  42 -> 43 [size =\"6617088\"]\n  43 [size=\"51292160\", alpha=\"0.01\", expect_size=\"20516864\"] \n  43 -> 44 [size =\"20516864\"]\n  44 [size=\"97361920\", alpha=\"0.15\", expect_size=\"38944768\"] \n  44 -> 45 [size =\"38944768\"]\n  45 [size=\"41064960\", alpha=\"0.04\", expect_size=\"16425984\"] \n  45 -> 46 [size =\"16425984\"]\n  46 [size=\"126850560\", alpha=\"0.18\", expect_size=\"50740224\"] \n  46 -> 47 [size =\"50740224\"]\n  47 [size=\"28085760\", alpha=\"0.01\", expect_size=\"11234304\"] \n  47 -> 48 [size =\"11234304\"]\n  48 [size=\"120002560\", alpha=\"0.04\", expect_size=\"48001024\"] \n  48 -> 49 [size =\"48001024\"]\n  49 [size=\"113989120\", alpha=\"0.17\", expect_size=\"45595648\"] \n  49 -> 50 [size =\"45595648\"]\n  50 [size=\"50536960\", alpha=\"0.14\", expect_size=\"20214784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.132.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130186240\", alpha=\"0.12\", expect_size=\"52074496\"] \n  1 -> 2 [size =\"52074496\"]\n  2 [size=\"20782080\", alpha=\"0.08\", expect_size=\"8312832\"] \n  2 -> 3 [size =\"8312832\"]\n  3 [size=\"120532480\", alpha=\"0.13\", expect_size=\"48212992\"] \n  3 -> 4 [size =\"48212992\"]\n  4 [size=\"44387840\", alpha=\"0.00\", expect_size=\"17755136\"] \n  4 -> 5 [size =\"17755136\"]\n  5 [size=\"113948160\", alpha=\"0.19\", expect_size=\"45579264\"] \n  5 -> 6 [size =\"45579264\"]\n  6 [size=\"82531840\", alpha=\"0.19\", expect_size=\"33012736\"] \n  6 -> 7 [size =\"33012736\"]\n  7 [size=\"69916160\", alpha=\"0.04\", expect_size=\"27966464\"] \n  7 -> 8 [size =\"27966464\"]\n  8 [size=\"79086080\", alpha=\"0.15\", expect_size=\"31634432\"] \n  8 -> 9 [size =\"31634432\"]\n  9 [size=\"94481920\", alpha=\"0.11\", expect_size=\"37792768\"] \n  9 -> 10 [size =\"37792768\"]\n  10 [size=\"130631680\", alpha=\"0.06\", expect_size=\"52252672\"] \n  10 -> 11 [size =\"52252672\"]\n  11 [size=\"73971200\", alpha=\"0.16\", expect_size=\"29588480\"] \n  11 -> 12 [size =\"29588480\"]\n  12 [size=\"29145600\", alpha=\"0.04\", expect_size=\"11658240\"] \n  12 -> 13 [size =\"11658240\"]\n  13 [size=\"76858880\", alpha=\"0.19\", expect_size=\"30743552\"] \n  13 -> 14 [size =\"30743552\"]\n  14 [size=\"37447680\", alpha=\"0.16\", expect_size=\"14979072\"] \n  14 -> 15 [size =\"14979072\"]\n  15 [size=\"38740480\", alpha=\"0.15\", expect_size=\"15496192\"] \n  15 -> 16 [size =\"15496192\"]\n  16 [size=\"30251520\", alpha=\"0.18\", expect_size=\"12100608\"] \n  16 -> 17 [size =\"12100608\"]\n  17 [size=\"24025600\", alpha=\"0.16\", expect_size=\"9610240\"] \n  17 -> 18 [size =\"9610240\"]\n  18 [size=\"47690240\", alpha=\"0.13\", expect_size=\"19076096\"] \n  18 -> 19 [size =\"19076096\"]\n  19 [size=\"19584000\", alpha=\"0.01\", expect_size=\"7833600\"] \n  19 -> 20 [size =\"7833600\"]\n  20 [size=\"87098880\", alpha=\"0.05\", expect_size=\"34839552\"] \n  20 -> 21 [size =\"34839552\"]\n  21 [size=\"122178560\", alpha=\"0.08\", expect_size=\"48871424\"] \n  21 -> 22 [size =\"48871424\"]\n  22 [size=\"98613760\", alpha=\"0.13\", expect_size=\"39445504\"] \n  22 -> 23 [size =\"39445504\"]\n  23 [size=\"123763200\", alpha=\"0.16\", expect_size=\"49505280\"] \n  23 -> 24 [size =\"49505280\"]\n  24 [size=\"120332800\", alpha=\"0.04\", expect_size=\"48133120\"] \n  24 -> 25 [size =\"48133120\"]\n  25 [size=\"96921600\", alpha=\"0.09\", expect_size=\"38768640\"] \n  25 -> 26 [size =\"38768640\"]\n  26 [size=\"67770880\", alpha=\"0.06\", expect_size=\"27108352\"] \n  26 -> 27 [size =\"27108352\"]\n  27 [size=\"54929920\", alpha=\"0.13\", expect_size=\"21971968\"] \n  27 -> 28 [size =\"21971968\"]\n  28 [size=\"33715200\", alpha=\"0.11\", expect_size=\"13486080\"] \n  28 -> 29 [size =\"13486080\"]\n  29 [size=\"113026560\", alpha=\"0.03\", expect_size=\"45210624\"] \n  29 -> 30 [size =\"45210624\"]\n  30 [size=\"120343040\", alpha=\"0.14\", expect_size=\"48137216\"] \n  30 -> 31 [size =\"48137216\"]\n  31 [size=\"30545920\", alpha=\"0.16\", expect_size=\"12218368\"] \n  31 -> 32 [size =\"12218368\"]\n  32 [size=\"78673920\", alpha=\"0.01\", expect_size=\"31469568\"] \n  32 -> 33 [size =\"31469568\"]\n  33 [size=\"36480000\", alpha=\"0.16\", expect_size=\"14592000\"] \n  33 -> 34 [size =\"14592000\"]\n  34 [size=\"129351680\", alpha=\"0.16\", expect_size=\"51740672\"] \n  34 -> 35 [size =\"51740672\"]\n  35 [size=\"34677760\", alpha=\"0.20\", expect_size=\"13871104\"] \n  35 -> 36 [size =\"13871104\"]\n  36 [size=\"89226240\", alpha=\"0.07\", expect_size=\"35690496\"] \n  36 -> 37 [size =\"35690496\"]\n  37 [size=\"126494720\", alpha=\"0.15\", expect_size=\"50597888\"] \n  37 -> 38 [size =\"50597888\"]\n  38 [size=\"85329920\", alpha=\"0.10\", expect_size=\"34131968\"] \n  38 -> 39 [size =\"34131968\"]\n  39 [size=\"31710720\", alpha=\"0.05\", expect_size=\"12684288\"] \n  39 -> 40 [size =\"12684288\"]\n  40 [size=\"47011840\", alpha=\"0.14\", expect_size=\"18804736\"] \n  40 -> 41 [size =\"18804736\"]\n  41 [size=\"130798080\", alpha=\"0.00\", expect_size=\"52319232\"] \n  41 -> 42 [size =\"52319232\"]\n  42 [size=\"107998720\", alpha=\"0.02\", expect_size=\"43199488\"] \n  42 -> 43 [size =\"43199488\"]\n  43 [size=\"112624640\", alpha=\"0.02\", expect_size=\"45049856\"] \n  43 -> 44 [size =\"45049856\"]\n  44 [size=\"90462720\", alpha=\"0.20\", expect_size=\"36185088\"] \n  44 -> 45 [size =\"36185088\"]\n  45 [size=\"65850880\", alpha=\"0.12\", expect_size=\"26340352\"] \n  45 -> 46 [size =\"26340352\"]\n  46 [size=\"64430080\", alpha=\"0.14\", expect_size=\"25772032\"] \n  46 -> 47 [size =\"25772032\"]\n  47 [size=\"103336960\", alpha=\"0.02\", expect_size=\"41334784\"] \n  47 -> 48 [size =\"41334784\"]\n  48 [size=\"75532800\", alpha=\"0.14\", expect_size=\"30213120\"] \n  48 -> 49 [size =\"30213120\"]\n  49 [size=\"15598080\", alpha=\"0.04\", expect_size=\"6239232\"] \n  49 -> 50 [size =\"6239232\"]\n  50 [size=\"47979520\", alpha=\"0.11\", expect_size=\"19191808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.133.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92215296\", alpha=\"0.13\", expect_size=\"46107648\"] \n  1 -> 7 [size =\"46107648\"]\n  1 -> 8 [size =\"46107648\"]\n  1 -> 9 [size =\"46107648\"]\n  1 -> 11 [size =\"46107648\"]\n  1 -> 12 [size =\"46107648\"]\n  2 [size=\"92565504\", alpha=\"0.15\", expect_size=\"46282752\"] \n  2 -> 7 [size =\"46282752\"]\n  2 -> 8 [size =\"46282752\"]\n  2 -> 9 [size =\"46282752\"]\n  2 -> 10 [size =\"46282752\"]\n  2 -> 11 [size =\"46282752\"]\n  3 [size=\"68270080\", alpha=\"0.19\", expect_size=\"34135040\"] \n  3 -> 9 [size =\"34135040\"]\n  3 -> 11 [size =\"34135040\"]\n  3 -> 12 [size =\"34135040\"]\n  4 [size=\"69017600\", alpha=\"0.09\", expect_size=\"34508800\"] \n  4 -> 9 [size =\"34508800\"]\n  4 -> 11 [size =\"34508800\"]\n  4 -> 12 [size =\"34508800\"]\n  5 [size=\"32505856\", alpha=\"0.04\", expect_size=\"16252928\"] \n  5 -> 7 [size =\"16252928\"]\n  5 -> 8 [size =\"16252928\"]\n  5 -> 10 [size =\"16252928\"]\n  5 -> 11 [size =\"16252928\"]\n  5 -> 12 [size =\"16252928\"]\n  6 [size=\"83441664\", alpha=\"0.16\", expect_size=\"41720832\"] \n  6 -> 7 [size =\"41720832\"]\n  6 -> 8 [size =\"41720832\"]\n  6 -> 9 [size =\"41720832\"]\n  6 -> 11 [size =\"41720832\"]\n  7 [size=\"28182528\", alpha=\"0.05\", expect_size=\"14091264\"] \n  7 -> 13 [size =\"14091264\"]\n  7 -> 14 [size =\"14091264\"]\n  7 -> 17 [size =\"14091264\"]\n  8 [size=\"21714944\", alpha=\"0.12\", expect_size=\"10857472\"] \n  8 -> 15 [size =\"10857472\"]\n  8 -> 18 [size =\"10857472\"]\n  9 [size=\"39213056\", alpha=\"0.01\", expect_size=\"19606528\"] \n  9 -> 15 [size =\"19606528\"]\n  9 -> 16 [size =\"19606528\"]\n  9 -> 18 [size =\"19606528\"]\n  10 [size=\"44247040\", alpha=\"0.05\", expect_size=\"22123520\"] \n  10 -> 13 [size =\"22123520\"]\n  10 -> 16 [size =\"22123520\"]\n  10 -> 18 [size =\"22123520\"]\n  11 [size=\"30724096\", alpha=\"0.09\", expect_size=\"15362048\"] \n  11 -> 13 [size =\"15362048\"]\n  11 -> 14 [size =\"15362048\"]\n  11 -> 15 [size =\"15362048\"]\n  11 -> 16 [size =\"15362048\"]\n  11 -> 18 [size =\"15362048\"]\n  12 [size=\"91615232\", alpha=\"0.13\", expect_size=\"45807616\"] \n  12 -> 13 [size =\"45807616\"]\n  12 -> 15 [size =\"45807616\"]\n  12 -> 16 [size =\"45807616\"]\n  12 -> 16 [size =\"45807616\"]\n  12 -> 18 [size =\"45807616\"]\n  13 [size=\"67934208\", alpha=\"0.16\", expect_size=\"33967104\"] \n  13 -> 21 [size =\"33967104\"]\n  13 -> 22 [size =\"33967104\"]\n  13 -> 23 [size =\"33967104\"]\n  13 -> 24 [size =\"33967104\"]\n  14 [size=\"64401408\", alpha=\"0.07\", expect_size=\"32200704\"] \n  14 -> 20 [size =\"32200704\"]\n  14 -> 21 [size =\"32200704\"]\n  14 -> 23 [size =\"32200704\"]\n  14 -> 24 [size =\"32200704\"]\n  15 [size=\"12111872\", alpha=\"0.17\", expect_size=\"6055936\"] \n  15 -> 20 [size =\"6055936\"]\n  15 -> 21 [size =\"6055936\"]\n  15 -> 22 [size =\"6055936\"]\n  15 -> 23 [size =\"6055936\"]\n  16 [size=\"29114368\", alpha=\"0.14\", expect_size=\"14557184\"] \n  16 -> 19 [size =\"14557184\"]\n  16 -> 20 [size =\"14557184\"]\n  16 -> 21 [size =\"14557184\"]\n  16 -> 22 [size =\"14557184\"]\n  16 -> 23 [size =\"14557184\"]\n  17 [size=\"104380416\", alpha=\"0.05\", expect_size=\"52190208\"] \n  17 -> 23 [size =\"52190208\"]\n  18 [size=\"32679936\", alpha=\"0.06\", expect_size=\"16339968\"] \n  18 -> 23 [size =\"16339968\"]\n  19 [size=\"91367424\", alpha=\"0.13\", expect_size=\"45683712\"] \n  19 -> 25 [size =\"45683712\"]\n  19 -> 26 [size =\"45683712\"]\n  19 -> 30 [size =\"45683712\"]\n  20 [size=\"97515520\", alpha=\"0.17\", expect_size=\"48757760\"] \n  20 -> 26 [size =\"48757760\"]\n  20 -> 28 [size =\"48757760\"]\n  21 [size=\"28622848\", alpha=\"0.19\", expect_size=\"14311424\"] \n  21 -> 27 [size =\"14311424\"]\n  21 -> 28 [size =\"14311424\"]\n  21 -> 29 [size =\"14311424\"]\n  21 -> 30 [size =\"14311424\"]\n  22 [size=\"69603328\", alpha=\"0.18\", expect_size=\"34801664\"] \n  22 -> 28 [size =\"34801664\"]\n  22 -> 29 [size =\"34801664\"]\n  23 [size=\"38240256\", alpha=\"0.09\", expect_size=\"19120128\"] \n  23 -> 27 [size =\"19120128\"]\n  23 -> 30 [size =\"19120128\"]\n  24 [size=\"19255296\", alpha=\"0.13\", expect_size=\"9627648\"] \n  24 -> 26 [size =\"9627648\"]\n  24 -> 27 [size =\"9627648\"]\n  24 -> 28 [size =\"9627648\"]\n  24 -> 29 [size =\"9627648\"]\n  25 [size=\"52289536\", alpha=\"0.01\", expect_size=\"26144768\"] \n  25 -> 31 [size =\"26144768\"]\n  25 -> 32 [size =\"26144768\"]\n  25 -> 33 [size =\"26144768\"]\n  25 -> 36 [size =\"26144768\"]\n  26 [size=\"38563840\", alpha=\"0.05\", expect_size=\"19281920\"] \n  26 -> 31 [size =\"19281920\"]\n  26 -> 35 [size =\"19281920\"]\n  27 [size=\"103692288\", alpha=\"0.13\", expect_size=\"51846144\"] \n  27 -> 31 [size =\"51846144\"]\n  27 -> 34 [size =\"51846144\"]\n  28 [size=\"34527232\", alpha=\"0.03\", expect_size=\"17263616\"] \n  28 -> 31 [size =\"17263616\"]\n  28 -> 32 [size =\"17263616\"]\n  28 -> 34 [size =\"17263616\"]\n  29 [size=\"63129600\", alpha=\"0.19\", expect_size=\"31564800\"] \n  29 -> 31 [size =\"31564800\"]\n  29 -> 32 [size =\"31564800\"]\n  29 -> 33 [size =\"31564800\"]\n  30 [size=\"28381184\", alpha=\"0.02\", expect_size=\"14190592\"] \n  30 -> 31 [size =\"14190592\"]\n  30 -> 32 [size =\"14190592\"]\n  31 [size=\"14411776\", alpha=\"0.10\", expect_size=\"7205888\"] \n  31 -> 37 [size =\"7205888\"]\n  31 -> 38 [size =\"7205888\"]\n  31 -> 39 [size =\"7205888\"]\n  31 -> 40 [size =\"7205888\"]\n  32 [size=\"102952960\", alpha=\"0.15\", expect_size=\"51476480\"] \n  32 -> 37 [size =\"51476480\"]\n  32 -> 38 [size =\"51476480\"]\n  32 -> 39 [size =\"51476480\"]\n  32 -> 40 [size =\"51476480\"]\n  33 [size=\"92971008\", alpha=\"0.12\", expect_size=\"46485504\"] \n  33 -> 38 [size =\"46485504\"]\n  33 -> 38 [size =\"46485504\"]\n  33 -> 39 [size =\"46485504\"]\n  33 -> 40 [size =\"46485504\"]\n  33 -> 43 [size =\"46485504\"]\n  34 [size=\"42250240\", alpha=\"0.00\", expect_size=\"21125120\"] \n  34 -> 37 [size =\"21125120\"]\n  34 -> 38 [size =\"21125120\"]\n  34 -> 39 [size =\"21125120\"]\n  34 -> 42 [size =\"21125120\"]\n  35 [size=\"103698432\", alpha=\"0.09\", expect_size=\"51849216\"] \n  35 -> 38 [size =\"51849216\"]\n  35 -> 39 [size =\"51849216\"]\n  35 -> 40 [size =\"51849216\"]\n  35 -> 41 [size =\"51849216\"]\n  35 -> 43 [size =\"51849216\"]\n  36 [size=\"16220160\", alpha=\"0.01\", expect_size=\"8110080\"] \n  36 -> 37 [size =\"8110080\"]\n  36 -> 39 [size =\"8110080\"]\n  36 -> 40 [size =\"8110080\"]\n  36 -> 42 [size =\"8110080\"]\n  36 -> 43 [size =\"8110080\"]\n  37 [size=\"41512960\", alpha=\"0.14\", expect_size=\"20756480\"] \n  37 -> 44 [size =\"20756480\"]\n  37 -> 46 [size =\"20756480\"]\n  37 -> 48 [size =\"20756480\"]\n  37 -> 49 [size =\"20756480\"]\n  38 [size=\"102907904\", alpha=\"0.11\", expect_size=\"51453952\"] \n  38 -> 44 [size =\"51453952\"]\n  38 -> 45 [size =\"51453952\"]\n  38 -> 46 [size =\"51453952\"]\n  38 -> 49 [size =\"51453952\"]\n  39 [size=\"22888448\", alpha=\"0.06\", expect_size=\"11444224\"] \n  39 -> 45 [size =\"11444224\"]\n  39 -> 49 [size =\"11444224\"]\n  40 [size=\"18925568\", alpha=\"0.18\", expect_size=\"9462784\"] \n  40 -> 48 [size =\"9462784\"]\n  41 [size=\"30410752\", alpha=\"0.15\", expect_size=\"15205376\"] \n  41 -> 44 [size =\"15205376\"]\n  41 -> 46 [size =\"15205376\"]\n  41 -> 48 [size =\"15205376\"]\n  41 -> 49 [size =\"15205376\"]\n  42 [size=\"77584384\", alpha=\"0.04\", expect_size=\"38792192\"] \n  42 -> 44 [size =\"38792192\"]\n  42 -> 46 [size =\"38792192\"]\n  42 -> 47 [size =\"38792192\"]\n  42 -> 48 [size =\"38792192\"]\n  42 -> 49 [size =\"38792192\"]\n  43 [size=\"52832256\", alpha=\"0.19\", expect_size=\"26416128\"] \n  43 -> 44 [size =\"26416128\"]\n  43 -> 46 [size =\"26416128\"]\n  43 -> 49 [size =\"26416128\"]\n  44 [size=\"13602816\", alpha=\"0.16\", expect_size=\"6801408\"] \n  45 [size=\"13815808\", alpha=\"0.02\", expect_size=\"6907904\"] \n  46 [size=\"55099392\", alpha=\"0.14\", expect_size=\"27549696\"] \n  47 [size=\"61708288\", alpha=\"0.05\", expect_size=\"30854144\"] \n  48 [size=\"33171456\", alpha=\"0.02\", expect_size=\"16585728\"] \n  48 -> 50 [size =\"16585728\"]\n  49 [size=\"86052864\", alpha=\"0.10\", expect_size=\"43026432\"] \n  50 [size=\"18118656\", alpha=\"0.01\", expect_size=\"9059328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.134.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26900480\", alpha=\"0.11\", expect_size=\"8070144\"] \n  1 -> 2 [size =\"8070144\"]\n  2 [size=\"169605120\", alpha=\"0.15\", expect_size=\"50881536\"] \n  2 -> 3 [size =\"50881536\"]\n  3 [size=\"136635733\", alpha=\"0.17\", expect_size=\"40990720\"] \n  3 -> 4 [size =\"40990720\"]\n  4 [size=\"98402987\", alpha=\"0.03\", expect_size=\"29520896\"] \n  4 -> 5 [size =\"29520896\"]\n  5 [size=\"166191787\", alpha=\"0.06\", expect_size=\"49857536\"] \n  5 -> 6 [size =\"49857536\"]\n  6 [size=\"65802240\", alpha=\"0.18\", expect_size=\"19740672\"] \n  6 -> 7 [size =\"19740672\"]\n  7 [size=\"61487787\", alpha=\"0.00\", expect_size=\"18446336\"] \n  7 -> 8 [size =\"18446336\"]\n  8 [size=\"62214827\", alpha=\"0.11\", expect_size=\"18664448\"] \n  8 -> 9 [size =\"18664448\"]\n  9 [size=\"168052053\", alpha=\"0.17\", expect_size=\"50415616\"] \n  9 -> 10 [size =\"50415616\"]\n  10 [size=\"42137600\", alpha=\"0.02\", expect_size=\"12641280\"] \n  10 -> 11 [size =\"12641280\"]\n  11 [size=\"152265387\", alpha=\"0.19\", expect_size=\"45679616\"] \n  11 -> 12 [size =\"45679616\"]\n  12 [size=\"79110827\", alpha=\"0.05\", expect_size=\"23733248\"] \n  12 -> 13 [size =\"23733248\"]\n  13 [size=\"41168213\", alpha=\"0.05\", expect_size=\"12350464\"] \n  13 -> 14 [size =\"12350464\"]\n  14 [size=\"171298133\", alpha=\"0.02\", expect_size=\"51389440\"] \n  14 -> 15 [size =\"51389440\"]\n  15 [size=\"40236373\", alpha=\"0.00\", expect_size=\"12070912\"] \n  15 -> 16 [size =\"12070912\"]\n  16 [size=\"86603093\", alpha=\"0.16\", expect_size=\"25980928\"] \n  16 -> 17 [size =\"25980928\"]\n  17 [size=\"73321813\", alpha=\"0.06\", expect_size=\"21996544\"] \n  17 -> 18 [size =\"21996544\"]\n  18 [size=\"73567573\", alpha=\"0.13\", expect_size=\"22070272\"] \n  18 -> 19 [size =\"22070272\"]\n  19 [size=\"160686080\", alpha=\"0.03\", expect_size=\"48205824\"] \n  19 -> 20 [size =\"48205824\"]\n  20 [size=\"134816427\", alpha=\"0.18\", expect_size=\"40444928\"] \n  20 -> 21 [size =\"40444928\"]\n  21 [size=\"151343787\", alpha=\"0.13\", expect_size=\"45403136\"] \n  21 -> 22 [size =\"45403136\"]\n  22 [size=\"145349973\", alpha=\"0.08\", expect_size=\"43604992\"] \n  22 -> 23 [size =\"43604992\"]\n  23 [size=\"25405440\", alpha=\"0.18\", expect_size=\"7621632\"] \n  23 -> 24 [size =\"7621632\"]\n  24 [size=\"60962133\", alpha=\"0.19\", expect_size=\"18288640\"] \n  24 -> 25 [size =\"18288640\"]\n  25 [size=\"73291093\", alpha=\"0.18\", expect_size=\"21987328\"] \n  25 -> 26 [size =\"21987328\"]\n  26 [size=\"73564160\", alpha=\"0.04\", expect_size=\"22069248\"] \n  26 -> 27 [size =\"22069248\"]\n  27 [size=\"43209387\", alpha=\"0.15\", expect_size=\"12962816\"] \n  27 -> 28 [size =\"12962816\"]\n  28 [size=\"88572587\", alpha=\"0.11\", expect_size=\"26571776\"] \n  28 -> 29 [size =\"26571776\"]\n  29 [size=\"30119253\", alpha=\"0.07\", expect_size=\"9035776\"] \n  29 -> 30 [size =\"9035776\"]\n  30 [size=\"55691947\", alpha=\"0.06\", expect_size=\"16707584\"] \n  30 -> 31 [size =\"16707584\"]\n  31 [size=\"37440853\", alpha=\"0.03\", expect_size=\"11232256\"] \n  31 -> 32 [size =\"11232256\"]\n  32 [size=\"142083413\", alpha=\"0.07\", expect_size=\"42625024\"] \n  32 -> 33 [size =\"42625024\"]\n  33 [size=\"49882453\", alpha=\"0.14\", expect_size=\"14964736\"] \n  33 -> 34 [size =\"14964736\"]\n  34 [size=\"37294080\", alpha=\"0.00\", expect_size=\"11188224\"] \n  34 -> 35 [size =\"11188224\"]\n  35 [size=\"27951787\", alpha=\"0.10\", expect_size=\"8385536\"] \n  35 -> 36 [size =\"8385536\"]\n  36 [size=\"170581333\", alpha=\"0.08\", expect_size=\"51174400\"] \n  36 -> 37 [size =\"51174400\"]\n  37 [size=\"41646080\", alpha=\"0.13\", expect_size=\"12493824\"] \n  37 -> 38 [size =\"12493824\"]\n  38 [size=\"157023573\", alpha=\"0.06\", expect_size=\"47107072\"] \n  38 -> 39 [size =\"47107072\"]\n  39 [size=\"89596587\", alpha=\"0.17\", expect_size=\"26878976\"] \n  39 -> 40 [size =\"26878976\"]\n  40 [size=\"147227307\", alpha=\"0.02\", expect_size=\"44168192\"] \n  40 -> 41 [size =\"44168192\"]\n  41 [size=\"40004267\", alpha=\"0.05\", expect_size=\"12001280\"] \n  41 -> 42 [size =\"12001280\"]\n  42 [size=\"60009813\", alpha=\"0.04\", expect_size=\"18002944\"] \n  42 -> 43 [size =\"18002944\"]\n  43 [size=\"111588693\", alpha=\"0.04\", expect_size=\"33476608\"] \n  43 -> 44 [size =\"33476608\"]\n  44 [size=\"61149867\", alpha=\"0.09\", expect_size=\"18344960\"] \n  44 -> 45 [size =\"18344960\"]\n  45 [size=\"62518613\", alpha=\"0.02\", expect_size=\"18755584\"] \n  45 -> 46 [size =\"18755584\"]\n  46 [size=\"138455040\", alpha=\"0.01\", expect_size=\"41536512\"] \n  46 -> 47 [size =\"41536512\"]\n  47 [size=\"43513173\", alpha=\"0.04\", expect_size=\"13053952\"] \n  47 -> 48 [size =\"13053952\"]\n  48 [size=\"148114773\", alpha=\"0.16\", expect_size=\"44434432\"] \n  48 -> 49 [size =\"44434432\"]\n  49 [size=\"36488533\", alpha=\"0.10\", expect_size=\"10946560\"] \n  49 -> 50 [size =\"10946560\"]\n  50 [size=\"166423893\", alpha=\"0.08\", expect_size=\"49927168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.135.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98250752\", alpha=\"0.08\", expect_size=\"49125376\"] \n  1 -> 17 [size =\"49125376\"]\n  1 -> 19 [size =\"49125376\"]\n  2 [size=\"64354304\", alpha=\"0.14\", expect_size=\"32177152\"] \n  2 -> 14 [size =\"32177152\"]\n  2 -> 16 [size =\"32177152\"]\n  3 [size=\"37238784\", alpha=\"0.19\", expect_size=\"18619392\"] \n  3 -> 16 [size =\"18619392\"]\n  4 [size=\"76961792\", alpha=\"0.07\", expect_size=\"38480896\"] \n  4 -> 16 [size =\"38480896\"]\n  4 -> 17 [size =\"38480896\"]\n  5 [size=\"11094016\", alpha=\"0.14\", expect_size=\"5547008\"] \n  5 -> 15 [size =\"5547008\"]\n  6 [size=\"31213568\", alpha=\"0.16\", expect_size=\"15606784\"] \n  6 -> 15 [size =\"15606784\"]\n  6 -> 20 [size =\"15606784\"]\n  7 [size=\"24252416\", alpha=\"0.05\", expect_size=\"12126208\"] \n  7 -> 16 [size =\"12126208\"]\n  7 -> 20 [size =\"12126208\"]\n  8 [size=\"21260288\", alpha=\"0.08\", expect_size=\"10630144\"] \n  8 -> 18 [size =\"10630144\"]\n  9 [size=\"101906432\", alpha=\"0.16\", expect_size=\"50953216\"] \n  9 -> 14 [size =\"50953216\"]\n  10 [size=\"104609792\", alpha=\"0.17\", expect_size=\"52304896\"] \n  10 -> 14 [size =\"52304896\"]\n  10 -> 18 [size =\"52304896\"]\n  11 [size=\"26562560\", alpha=\"0.14\", expect_size=\"13281280\"] \n  12 [size=\"62164992\", alpha=\"0.18\", expect_size=\"31082496\"] \n  13 [size=\"33185792\", alpha=\"0.17\", expect_size=\"16592896\"] \n  14 [size=\"26527744\", alpha=\"0.06\", expect_size=\"13263872\"] \n  14 -> 23 [size =\"13263872\"]\n  14 -> 26 [size =\"13263872\"]\n  14 -> 33 [size =\"13263872\"]\n  15 [size=\"59029504\", alpha=\"0.14\", expect_size=\"29514752\"] \n  15 -> 23 [size =\"29514752\"]\n  15 -> 24 [size =\"29514752\"]\n  15 -> 26 [size =\"29514752\"]\n  15 -> 31 [size =\"29514752\"]\n  15 -> 32 [size =\"29514752\"]\n  16 [size=\"29091840\", alpha=\"0.12\", expect_size=\"14545920\"] \n  16 -> 22 [size =\"14545920\"]\n  16 -> 23 [size =\"14545920\"]\n  16 -> 25 [size =\"14545920\"]\n  16 -> 26 [size =\"14545920\"]\n  16 -> 27 [size =\"14545920\"]\n  16 -> 30 [size =\"14545920\"]\n  17 [size=\"104296448\", alpha=\"0.06\", expect_size=\"52148224\"] \n  17 -> 21 [size =\"52148224\"]\n  17 -> 25 [size =\"52148224\"]\n  17 -> 28 [size =\"52148224\"]\n  17 -> 30 [size =\"52148224\"]\n  17 -> 31 [size =\"52148224\"]\n  17 -> 33 [size =\"52148224\"]\n  18 [size=\"31651840\", alpha=\"0.05\", expect_size=\"15825920\"] \n  18 -> 23 [size =\"15825920\"]\n  18 -> 25 [size =\"15825920\"]\n  18 -> 33 [size =\"15825920\"]\n  19 [size=\"71294976\", alpha=\"0.16\", expect_size=\"35647488\"] \n  19 -> 21 [size =\"35647488\"]\n  19 -> 24 [size =\"35647488\"]\n  19 -> 25 [size =\"35647488\"]\n  19 -> 28 [size =\"35647488\"]\n  19 -> 29 [size =\"35647488\"]\n  19 -> 31 [size =\"35647488\"]\n  19 -> 33 [size =\"35647488\"]\n  20 [size=\"53102592\", alpha=\"0.14\", expect_size=\"26551296\"] \n  20 -> 31 [size =\"26551296\"]\n  20 -> 33 [size =\"26551296\"]\n  21 [size=\"41201664\", alpha=\"0.12\", expect_size=\"20600832\"] \n  21 -> 34 [size =\"20600832\"]\n  21 -> 37 [size =\"20600832\"]\n  21 -> 38 [size =\"20600832\"]\n  21 -> 41 [size =\"20600832\"]\n  22 [size=\"13060096\", alpha=\"0.01\", expect_size=\"6530048\"] \n  22 -> 34 [size =\"6530048\"]\n  22 -> 36 [size =\"6530048\"]\n  22 -> 38 [size =\"6530048\"]\n  23 [size=\"97755136\", alpha=\"0.15\", expect_size=\"48877568\"] \n  23 -> 34 [size =\"48877568\"]\n  23 -> 41 [size =\"48877568\"]\n  24 [size=\"84701184\", alpha=\"0.04\", expect_size=\"42350592\"] \n  25 [size=\"18616320\", alpha=\"0.13\", expect_size=\"9308160\"] \n  25 -> 34 [size =\"9308160\"]\n  25 -> 39 [size =\"9308160\"]\n  25 -> 40 [size =\"9308160\"]\n  26 [size=\"82587648\", alpha=\"0.06\", expect_size=\"41293824\"] \n  26 -> 34 [size =\"41293824\"]\n  26 -> 36 [size =\"41293824\"]\n  26 -> 41 [size =\"41293824\"]\n  27 [size=\"45834240\", alpha=\"0.02\", expect_size=\"22917120\"] \n  27 -> 36 [size =\"22917120\"]\n  27 -> 37 [size =\"22917120\"]\n  27 -> 39 [size =\"22917120\"]\n  28 [size=\"72370176\", alpha=\"0.01\", expect_size=\"36185088\"] \n  28 -> 36 [size =\"36185088\"]\n  28 -> 37 [size =\"36185088\"]\n  28 -> 39 [size =\"36185088\"]\n  28 -> 41 [size =\"36185088\"]\n  29 [size=\"93708288\", alpha=\"0.18\", expect_size=\"46854144\"] \n  29 -> 37 [size =\"46854144\"]\n  29 -> 39 [size =\"46854144\"]\n  29 -> 41 [size =\"46854144\"]\n  30 [size=\"72947712\", alpha=\"0.16\", expect_size=\"36473856\"] \n  30 -> 35 [size =\"36473856\"]\n  31 [size=\"46929920\", alpha=\"0.17\", expect_size=\"23464960\"] \n  31 -> 34 [size =\"23464960\"]\n  31 -> 41 [size =\"23464960\"]\n  32 [size=\"103424000\", alpha=\"0.09\", expect_size=\"51712000\"] \n  32 -> 36 [size =\"51712000\"]\n  33 [size=\"13185024\", alpha=\"0.06\", expect_size=\"6592512\"] \n  33 -> 40 [size =\"6592512\"]\n  33 -> 41 [size =\"6592512\"]\n  34 [size=\"86081536\", alpha=\"0.06\", expect_size=\"43040768\"] \n  34 -> 42 [size =\"43040768\"]\n  34 -> 45 [size =\"43040768\"]\n  34 -> 49 [size =\"43040768\"]\n  34 -> 50 [size =\"43040768\"]\n  35 [size=\"11102208\", alpha=\"0.17\", expect_size=\"5551104\"] \n  35 -> 42 [size =\"5551104\"]\n  35 -> 46 [size =\"5551104\"]\n  36 [size=\"71974912\", alpha=\"0.11\", expect_size=\"35987456\"] \n  36 -> 42 [size =\"35987456\"]\n  36 -> 43 [size =\"35987456\"]\n  36 -> 46 [size =\"35987456\"]\n  36 -> 47 [size =\"35987456\"]\n  36 -> 48 [size =\"35987456\"]\n  36 -> 50 [size =\"35987456\"]\n  37 [size=\"100679680\", alpha=\"0.06\", expect_size=\"50339840\"] \n  37 -> 42 [size =\"50339840\"]\n  37 -> 44 [size =\"50339840\"]\n  37 -> 45 [size =\"50339840\"]\n  37 -> 46 [size =\"50339840\"]\n  37 -> 47 [size =\"50339840\"]\n  37 -> 50 [size =\"50339840\"]\n  38 [size=\"16615424\", alpha=\"0.05\", expect_size=\"8307712\"] \n  38 -> 42 [size =\"8307712\"]\n  38 -> 43 [size =\"8307712\"]\n  38 -> 45 [size =\"8307712\"]\n  38 -> 46 [size =\"8307712\"]\n  38 -> 50 [size =\"8307712\"]\n  39 [size=\"19300352\", alpha=\"0.16\", expect_size=\"9650176\"] \n  39 -> 45 [size =\"9650176\"]\n  39 -> 47 [size =\"9650176\"]\n  40 [size=\"11413504\", alpha=\"0.17\", expect_size=\"5706752\"] \n  40 -> 44 [size =\"5706752\"]\n  40 -> 45 [size =\"5706752\"]\n  40 -> 47 [size =\"5706752\"]\n  41 [size=\"87078912\", alpha=\"0.05\", expect_size=\"43539456\"] \n  41 -> 49 [size =\"43539456\"]\n  42 [size=\"73629696\", alpha=\"0.12\", expect_size=\"36814848\"] \n  43 [size=\"22747136\", alpha=\"0.19\", expect_size=\"11373568\"] \n  44 [size=\"51507200\", alpha=\"0.01\", expect_size=\"25753600\"] \n  45 [size=\"81575936\", alpha=\"0.05\", expect_size=\"40787968\"] \n  46 [size=\"67129344\", alpha=\"0.04\", expect_size=\"33564672\"] \n  47 [size=\"26773504\", alpha=\"0.10\", expect_size=\"13386752\"] \n  48 [size=\"54319104\", alpha=\"0.10\", expect_size=\"27159552\"] \n  49 [size=\"76562432\", alpha=\"0.07\", expect_size=\"38281216\"] \n  50 [size=\"59940864\", alpha=\"0.18\", expect_size=\"29970432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.136.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67599360\", alpha=\"0.06\", expect_size=\"27039744\"] \n  1 -> 2 [size =\"27039744\"]\n  2 [size=\"92313600\", alpha=\"0.19\", expect_size=\"36925440\"] \n  2 -> 3 [size =\"36925440\"]\n  3 [size=\"115532800\", alpha=\"0.06\", expect_size=\"46213120\"] \n  3 -> 4 [size =\"46213120\"]\n  4 [size=\"129018880\", alpha=\"0.01\", expect_size=\"51607552\"] \n  4 -> 5 [size =\"51607552\"]\n  5 [size=\"36956160\", alpha=\"0.07\", expect_size=\"14782464\"] \n  5 -> 6 [size =\"14782464\"]\n  6 [size=\"87452160\", alpha=\"0.11\", expect_size=\"34980864\"] \n  6 -> 7 [size =\"34980864\"]\n  7 [size=\"85086720\", alpha=\"0.18\", expect_size=\"34034688\"] \n  7 -> 8 [size =\"34034688\"]\n  8 [size=\"67069440\", alpha=\"0.17\", expect_size=\"26827776\"] \n  8 -> 9 [size =\"26827776\"]\n  9 [size=\"80867840\", alpha=\"0.10\", expect_size=\"32347136\"] \n  9 -> 10 [size =\"32347136\"]\n  10 [size=\"78254080\", alpha=\"0.14\", expect_size=\"31301632\"] \n  10 -> 11 [size =\"31301632\"]\n  11 [size=\"48399360\", alpha=\"0.06\", expect_size=\"19359744\"] \n  11 -> 12 [size =\"19359744\"]\n  12 [size=\"83036160\", alpha=\"0.15\", expect_size=\"33214464\"] \n  12 -> 13 [size =\"33214464\"]\n  13 [size=\"74836480\", alpha=\"0.06\", expect_size=\"29934592\"] \n  13 -> 14 [size =\"29934592\"]\n  14 [size=\"107294720\", alpha=\"0.08\", expect_size=\"42917888\"] \n  14 -> 15 [size =\"42917888\"]\n  15 [size=\"115781120\", alpha=\"0.00\", expect_size=\"46312448\"] \n  15 -> 16 [size =\"46312448\"]\n  16 [size=\"41105920\", alpha=\"0.03\", expect_size=\"16442368\"] \n  16 -> 17 [size =\"16442368\"]\n  17 [size=\"104432640\", alpha=\"0.15\", expect_size=\"41773056\"] \n  17 -> 18 [size =\"41773056\"]\n  18 [size=\"91729920\", alpha=\"0.00\", expect_size=\"36691968\"] \n  18 -> 19 [size =\"36691968\"]\n  19 [size=\"75197440\", alpha=\"0.01\", expect_size=\"30078976\"] \n  19 -> 20 [size =\"30078976\"]\n  20 [size=\"18667520\", alpha=\"0.01\", expect_size=\"7467008\"] \n  20 -> 21 [size =\"7467008\"]\n  21 [size=\"104035840\", alpha=\"0.09\", expect_size=\"41614336\"] \n  21 -> 22 [size =\"41614336\"]\n  22 [size=\"21386240\", alpha=\"0.12\", expect_size=\"8554496\"] \n  22 -> 23 [size =\"8554496\"]\n  23 [size=\"112611840\", alpha=\"0.11\", expect_size=\"45044736\"] \n  23 -> 24 [size =\"45044736\"]\n  24 [size=\"29217280\", alpha=\"0.11\", expect_size=\"11686912\"] \n  24 -> 25 [size =\"11686912\"]\n  25 [size=\"79185920\", alpha=\"0.14\", expect_size=\"31674368\"] \n  25 -> 26 [size =\"31674368\"]\n  26 [size=\"81817600\", alpha=\"0.10\", expect_size=\"32727040\"] \n  26 -> 27 [size =\"32727040\"]\n  27 [size=\"97548800\", alpha=\"0.18\", expect_size=\"39019520\"] \n  27 -> 28 [size =\"39019520\"]\n  28 [size=\"65400320\", alpha=\"0.15\", expect_size=\"26160128\"] \n  28 -> 29 [size =\"26160128\"]\n  29 [size=\"67827200\", alpha=\"0.04\", expect_size=\"27130880\"] \n  29 -> 30 [size =\"27130880\"]\n  30 [size=\"73748480\", alpha=\"0.04\", expect_size=\"29499392\"] \n  30 -> 31 [size =\"29499392\"]\n  31 [size=\"77201920\", alpha=\"0.09\", expect_size=\"30880768\"] \n  31 -> 32 [size =\"30880768\"]\n  32 [size=\"14717440\", alpha=\"0.07\", expect_size=\"5886976\"] \n  32 -> 33 [size =\"5886976\"]\n  33 [size=\"83466240\", alpha=\"0.15\", expect_size=\"33386496\"] \n  33 -> 34 [size =\"33386496\"]\n  34 [size=\"31982080\", alpha=\"0.19\", expect_size=\"12792832\"] \n  34 -> 35 [size =\"12792832\"]\n  35 [size=\"94141440\", alpha=\"0.01\", expect_size=\"37656576\"] \n  35 -> 36 [size =\"37656576\"]\n  36 [size=\"57866240\", alpha=\"0.07\", expect_size=\"23146496\"] \n  36 -> 37 [size =\"23146496\"]\n  37 [size=\"115466240\", alpha=\"0.09\", expect_size=\"46186496\"] \n  37 -> 38 [size =\"46186496\"]\n  38 [size=\"102991360\", alpha=\"0.04\", expect_size=\"41196544\"] \n  38 -> 39 [size =\"41196544\"]\n  39 [size=\"74406400\", alpha=\"0.09\", expect_size=\"29762560\"] \n  39 -> 40 [size =\"29762560\"]\n  40 [size=\"97469440\", alpha=\"0.16\", expect_size=\"38987776\"] \n  40 -> 41 [size =\"38987776\"]\n  41 [size=\"119367680\", alpha=\"0.18\", expect_size=\"47747072\"] \n  41 -> 42 [size =\"47747072\"]\n  42 [size=\"57428480\", alpha=\"0.01\", expect_size=\"22971392\"] \n  42 -> 43 [size =\"22971392\"]\n  43 [size=\"99545600\", alpha=\"0.01\", expect_size=\"39818240\"] \n  43 -> 44 [size =\"39818240\"]\n  44 [size=\"71518720\", alpha=\"0.04\", expect_size=\"28607488\"] \n  44 -> 45 [size =\"28607488\"]\n  45 [size=\"67540480\", alpha=\"0.18\", expect_size=\"27016192\"] \n  45 -> 46 [size =\"27016192\"]\n  46 [size=\"72320000\", alpha=\"0.04\", expect_size=\"28928000\"] \n  46 -> 47 [size =\"28928000\"]\n  47 [size=\"113856000\", alpha=\"0.04\", expect_size=\"45542400\"] \n  47 -> 48 [size =\"45542400\"]\n  48 [size=\"47544320\", alpha=\"0.13\", expect_size=\"19017728\"] \n  48 -> 49 [size =\"19017728\"]\n  49 [size=\"69977600\", alpha=\"0.12\", expect_size=\"27991040\"] \n  49 -> 50 [size =\"27991040\"]\n  50 [size=\"125276160\", alpha=\"0.00\", expect_size=\"50110464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.137.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120519680\", alpha=\"0.05\", expect_size=\"48207872\"] \n  1 -> 18 [size =\"48207872\"]\n  1 -> 24 [size =\"48207872\"]\n  1 -> 28 [size =\"48207872\"]\n  2 [size=\"20070400\", alpha=\"0.01\", expect_size=\"8028160\"] \n  2 -> 19 [size =\"8028160\"]\n  2 -> 20 [size =\"8028160\"]\n  2 -> 25 [size =\"8028160\"]\n  2 -> 28 [size =\"8028160\"]\n  3 [size=\"40570880\", alpha=\"0.11\", expect_size=\"16228352\"] \n  3 -> 19 [size =\"16228352\"]\n  4 [size=\"29488640\", alpha=\"0.06\", expect_size=\"11795456\"] \n  4 -> 18 [size =\"11795456\"]\n  4 -> 20 [size =\"11795456\"]\n  4 -> 25 [size =\"11795456\"]\n  5 [size=\"80770560\", alpha=\"0.13\", expect_size=\"32308224\"] \n  5 -> 19 [size =\"32308224\"]\n  5 -> 25 [size =\"32308224\"]\n  6 [size=\"52431360\", alpha=\"0.03\", expect_size=\"20972544\"] \n  6 -> 28 [size =\"20972544\"]\n  7 [size=\"85288960\", alpha=\"0.02\", expect_size=\"34115584\"] \n  7 -> 18 [size =\"34115584\"]\n  7 -> 25 [size =\"34115584\"]\n  8 [size=\"31009280\", alpha=\"0.05\", expect_size=\"12403712\"] \n  8 -> 23 [size =\"12403712\"]\n  9 [size=\"106900480\", alpha=\"0.10\", expect_size=\"42760192\"] \n  9 -> 20 [size =\"42760192\"]\n  9 -> 22 [size =\"42760192\"]\n  9 -> 23 [size =\"42760192\"]\n  9 -> 25 [size =\"42760192\"]\n  10 [size=\"85803520\", alpha=\"0.02\", expect_size=\"34321408\"] \n  10 -> 19 [size =\"34321408\"]\n  10 -> 20 [size =\"34321408\"]\n  10 -> 21 [size =\"34321408\"]\n  10 -> 25 [size =\"34321408\"]\n  10 -> 28 [size =\"34321408\"]\n  11 [size=\"126817280\", alpha=\"0.09\", expect_size=\"50726912\"] \n  11 -> 18 [size =\"50726912\"]\n  11 -> 19 [size =\"50726912\"]\n  11 -> 20 [size =\"50726912\"]\n  11 -> 25 [size =\"50726912\"]\n  11 -> 26 [size =\"50726912\"]\n  11 -> 27 [size =\"50726912\"]\n  12 [size=\"41008640\", alpha=\"0.05\", expect_size=\"16403456\"] \n  12 -> 18 [size =\"16403456\"]\n  12 -> 19 [size =\"16403456\"]\n  12 -> 23 [size =\"16403456\"]\n  12 -> 25 [size =\"16403456\"]\n  12 -> 27 [size =\"16403456\"]\n  13 [size=\"45135360\", alpha=\"0.03\", expect_size=\"18054144\"] \n  13 -> 18 [size =\"18054144\"]\n  14 [size=\"112396800\", alpha=\"0.07\", expect_size=\"44958720\"] \n  14 -> 19 [size =\"44958720\"]\n  14 -> 24 [size =\"44958720\"]\n  15 [size=\"27159040\", alpha=\"0.08\", expect_size=\"10863616\"] \n  15 -> 18 [size =\"10863616\"]\n  15 -> 19 [size =\"10863616\"]\n  15 -> 22 [size =\"10863616\"]\n  16 [size=\"104087040\", alpha=\"0.18\", expect_size=\"41634816\"] \n  16 -> 23 [size =\"41634816\"]\n  16 -> 25 [size =\"41634816\"]\n  16 -> 28 [size =\"41634816\"]\n  16 -> 29 [size =\"41634816\"]\n  17 [size=\"121896960\", alpha=\"0.11\", expect_size=\"48758784\"] \n  17 -> 20 [size =\"48758784\"]\n  17 -> 21 [size =\"48758784\"]\n  17 -> 24 [size =\"48758784\"]\n  17 -> 25 [size =\"48758784\"]\n  17 -> 29 [size =\"48758784\"]\n  18 [size=\"14640640\", alpha=\"0.10\", expect_size=\"5856256\"] \n  18 -> 32 [size =\"5856256\"]\n  18 -> 33 [size =\"5856256\"]\n  18 -> 40 [size =\"5856256\"]\n  19 [size=\"41658880\", alpha=\"0.05\", expect_size=\"16663552\"] \n  19 -> 31 [size =\"16663552\"]\n  19 -> 34 [size =\"16663552\"]\n  19 -> 41 [size =\"16663552\"]\n  19 -> 42 [size =\"16663552\"]\n  19 -> 43 [size =\"16663552\"]\n  19 -> 44 [size =\"16663552\"]\n  20 [size=\"103063040\", alpha=\"0.03\", expect_size=\"41225216\"] \n  20 -> 34 [size =\"41225216\"]\n  20 -> 35 [size =\"41225216\"]\n  20 -> 38 [size =\"41225216\"]\n  20 -> 42 [size =\"41225216\"]\n  20 -> 43 [size =\"41225216\"]\n  21 [size=\"117450240\", alpha=\"0.19\", expect_size=\"46980096\"] \n  21 -> 35 [size =\"46980096\"]\n  21 -> 38 [size =\"46980096\"]\n  21 -> 39 [size =\"46980096\"]\n  21 -> 40 [size =\"46980096\"]\n  21 -> 42 [size =\"46980096\"]\n  21 -> 43 [size =\"46980096\"]\n  22 [size=\"50903040\", alpha=\"0.17\", expect_size=\"20361216\"] \n  22 -> 30 [size =\"20361216\"]\n  22 -> 34 [size =\"20361216\"]\n  22 -> 41 [size =\"20361216\"]\n  22 -> 42 [size =\"20361216\"]\n  22 -> 44 [size =\"20361216\"]\n  23 [size=\"77975040\", alpha=\"0.19\", expect_size=\"31190016\"] \n  23 -> 31 [size =\"31190016\"]\n  23 -> 42 [size =\"31190016\"]\n  23 -> 44 [size =\"31190016\"]\n  24 [size=\"97049600\", alpha=\"0.04\", expect_size=\"38819840\"] \n  24 -> 35 [size =\"38819840\"]\n  24 -> 37 [size =\"38819840\"]\n  24 -> 39 [size =\"38819840\"]\n  24 -> 40 [size =\"38819840\"]\n  24 -> 44 [size =\"38819840\"]\n  25 [size=\"18488320\", alpha=\"0.01\", expect_size=\"7395328\"] \n  25 -> 31 [size =\"7395328\"]\n  25 -> 38 [size =\"7395328\"]\n  25 -> 39 [size =\"7395328\"]\n  25 -> 41 [size =\"7395328\"]\n  25 -> 43 [size =\"7395328\"]\n  26 [size=\"65615360\", alpha=\"0.04\", expect_size=\"26246144\"] \n  26 -> 32 [size =\"26246144\"]\n  26 -> 38 [size =\"26246144\"]\n  26 -> 42 [size =\"26246144\"]\n  26 -> 44 [size =\"26246144\"]\n  27 [size=\"55134720\", alpha=\"0.19\", expect_size=\"22053888\"] \n  27 -> 33 [size =\"22053888\"]\n  27 -> 39 [size =\"22053888\"]\n  27 -> 44 [size =\"22053888\"]\n  28 [size=\"119400960\", alpha=\"0.18\", expect_size=\"47760384\"] \n  28 -> 33 [size =\"47760384\"]\n  28 -> 44 [size =\"47760384\"]\n  29 [size=\"60672000\", alpha=\"0.12\", expect_size=\"24268800\"] \n  29 -> 36 [size =\"24268800\"]\n  29 -> 43 [size =\"24268800\"]\n  30 [size=\"87969280\", alpha=\"0.19\", expect_size=\"35187712\"] \n  30 -> 45 [size =\"35187712\"]\n  30 -> 46 [size =\"35187712\"]\n  30 -> 50 [size =\"35187712\"]\n  31 [size=\"104816640\", alpha=\"0.05\", expect_size=\"41926656\"] \n  31 -> 45 [size =\"41926656\"]\n  31 -> 50 [size =\"41926656\"]\n  32 [size=\"100661760\", alpha=\"0.16\", expect_size=\"40264704\"] \n  32 -> 50 [size =\"40264704\"]\n  33 [size=\"82470400\", alpha=\"0.12\", expect_size=\"32988160\"] \n  33 -> 45 [size =\"32988160\"]\n  33 -> 46 [size =\"32988160\"]\n  34 [size=\"77706240\", alpha=\"0.05\", expect_size=\"31082496\"] \n  34 -> 45 [size =\"31082496\"]\n  34 -> 46 [size =\"31082496\"]\n  35 [size=\"102753280\", alpha=\"0.00\", expect_size=\"41101312\"] \n  35 -> 45 [size =\"41101312\"]\n  35 -> 50 [size =\"41101312\"]\n  36 [size=\"107307520\", alpha=\"0.11\", expect_size=\"42923008\"] \n  36 -> 45 [size =\"42923008\"]\n  37 [size=\"130698240\", alpha=\"0.00\", expect_size=\"52279296\"] \n  37 -> 46 [size =\"52279296\"]\n  37 -> 47 [size =\"52279296\"]\n  37 -> 49 [size =\"52279296\"]\n  38 [size=\"127139840\", alpha=\"0.10\", expect_size=\"50855936\"] \n  38 -> 46 [size =\"50855936\"]\n  38 -> 49 [size =\"50855936\"]\n  39 [size=\"114539520\", alpha=\"0.04\", expect_size=\"45815808\"] \n  39 -> 46 [size =\"45815808\"]\n  39 -> 47 [size =\"45815808\"]\n  39 -> 49 [size =\"45815808\"]\n  40 [size=\"68723200\", alpha=\"0.13\", expect_size=\"27489280\"] \n  40 -> 46 [size =\"27489280\"]\n  40 -> 47 [size =\"27489280\"]\n  41 [size=\"62389760\", alpha=\"0.01\", expect_size=\"24955904\"] \n  41 -> 45 [size =\"24955904\"]\n  41 -> 46 [size =\"24955904\"]\n  41 -> 50 [size =\"24955904\"]\n  42 [size=\"91287040\", alpha=\"0.14\", expect_size=\"36514816\"] \n  42 -> 46 [size =\"36514816\"]\n  42 -> 48 [size =\"36514816\"]\n  42 -> 49 [size =\"36514816\"]\n  43 [size=\"65354240\", alpha=\"0.19\", expect_size=\"26141696\"] \n  43 -> 45 [size =\"26141696\"]\n  44 [size=\"16619520\", alpha=\"0.18\", expect_size=\"6647808\"] \n  44 -> 45 [size =\"6647808\"]\n  44 -> 47 [size =\"6647808\"]\n  45 [size=\"44377600\", alpha=\"0.18\", expect_size=\"17751040\"] \n  46 [size=\"44710400\", alpha=\"0.06\", expect_size=\"17884160\"] \n  47 [size=\"108605440\", alpha=\"0.02\", expect_size=\"43442176\"] \n  48 [size=\"108917760\", alpha=\"0.16\", expect_size=\"43567104\"] \n  49 [size=\"47185920\", alpha=\"0.18\", expect_size=\"18874368\"] \n  50 [size=\"69928960\", alpha=\"0.13\", expect_size=\"27971584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.138.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37470720\", alpha=\"0.06\", expect_size=\"14988288\"] \n  1 -> 24 [size =\"14988288\"]\n  1 -> 28 [size =\"14988288\"]\n  1 -> 29 [size =\"14988288\"]\n  1 -> 32 [size =\"14988288\"]\n  1 -> 32 [size =\"14988288\"]\n  1 -> 34 [size =\"14988288\"]\n  1 -> 43 [size =\"14988288\"]\n  1 -> 46 [size =\"14988288\"]\n  1 -> 48 [size =\"14988288\"]\n  2 [size=\"43217920\", alpha=\"0.13\", expect_size=\"17287168\"] \n  2 -> 18 [size =\"17287168\"]\n  2 -> 20 [size =\"17287168\"]\n  2 -> 25 [size =\"17287168\"]\n  2 -> 28 [size =\"17287168\"]\n  2 -> 32 [size =\"17287168\"]\n  2 -> 35 [size =\"17287168\"]\n  2 -> 40 [size =\"17287168\"]\n  2 -> 41 [size =\"17287168\"]\n  2 -> 43 [size =\"17287168\"]\n  2 -> 44 [size =\"17287168\"]\n  2 -> 45 [size =\"17287168\"]\n  2 -> 46 [size =\"17287168\"]\n  3 [size=\"60787200\", alpha=\"0.15\", expect_size=\"24314880\"] \n  3 -> 18 [size =\"24314880\"]\n  3 -> 20 [size =\"24314880\"]\n  3 -> 22 [size =\"24314880\"]\n  3 -> 27 [size =\"24314880\"]\n  3 -> 31 [size =\"24314880\"]\n  3 -> 32 [size =\"24314880\"]\n  3 -> 35 [size =\"24314880\"]\n  3 -> 39 [size =\"24314880\"]\n  3 -> 45 [size =\"24314880\"]\n  3 -> 46 [size =\"24314880\"]\n  4 [size=\"102225920\", alpha=\"0.15\", expect_size=\"40890368\"] \n  4 -> 18 [size =\"40890368\"]\n  4 -> 19 [size =\"40890368\"]\n  4 -> 20 [size =\"40890368\"]\n  4 -> 30 [size =\"40890368\"]\n  4 -> 32 [size =\"40890368\"]\n  4 -> 33 [size =\"40890368\"]\n  4 -> 39 [size =\"40890368\"]\n  4 -> 40 [size =\"40890368\"]\n  4 -> 42 [size =\"40890368\"]\n  4 -> 46 [size =\"40890368\"]\n  4 -> 47 [size =\"40890368\"]\n  4 -> 49 [size =\"40890368\"]\n  5 [size=\"90355200\", alpha=\"0.09\", expect_size=\"36142080\"] \n  5 -> 18 [size =\"36142080\"]\n  5 -> 21 [size =\"36142080\"]\n  5 -> 25 [size =\"36142080\"]\n  5 -> 27 [size =\"36142080\"]\n  5 -> 28 [size =\"36142080\"]\n  5 -> 30 [size =\"36142080\"]\n  5 -> 31 [size =\"36142080\"]\n  5 -> 36 [size =\"36142080\"]\n  5 -> 37 [size =\"36142080\"]\n  5 -> 39 [size =\"36142080\"]\n  5 -> 40 [size =\"36142080\"]\n  5 -> 43 [size =\"36142080\"]\n  5 -> 46 [size =\"36142080\"]\n  5 -> 47 [size =\"36142080\"]\n  5 -> 48 [size =\"36142080\"]\n  5 -> 49 [size =\"36142080\"]\n  6 [size=\"24097280\", alpha=\"0.13\", expect_size=\"9638912\"] \n  6 -> 18 [size =\"9638912\"]\n  6 -> 19 [size =\"9638912\"]\n  6 -> 21 [size =\"9638912\"]\n  6 -> 23 [size =\"9638912\"]\n  6 -> 25 [size =\"9638912\"]\n  6 -> 32 [size =\"9638912\"]\n  6 -> 36 [size =\"9638912\"]\n  6 -> 40 [size =\"9638912\"]\n  6 -> 43 [size =\"9638912\"]\n  6 -> 44 [size =\"9638912\"]\n  6 -> 48 [size =\"9638912\"]\n  7 [size=\"90411520\", alpha=\"0.00\", expect_size=\"36164608\"] \n  7 -> 23 [size =\"36164608\"]\n  7 -> 24 [size =\"36164608\"]\n  7 -> 29 [size =\"36164608\"]\n  7 -> 36 [size =\"36164608\"]\n  7 -> 44 [size =\"36164608\"]\n  7 -> 50 [size =\"36164608\"]\n  8 [size=\"116280320\", alpha=\"0.12\", expect_size=\"46512128\"] \n  8 -> 26 [size =\"46512128\"]\n  8 -> 33 [size =\"46512128\"]\n  8 -> 36 [size =\"46512128\"]\n  8 -> 40 [size =\"46512128\"]\n  8 -> 43 [size =\"46512128\"]\n  8 -> 44 [size =\"46512128\"]\n  9 [size=\"116372480\", alpha=\"0.20\", expect_size=\"46548992\"] \n  9 -> 20 [size =\"46548992\"]\n  9 -> 21 [size =\"46548992\"]\n  9 -> 22 [size =\"46548992\"]\n  9 -> 27 [size =\"46548992\"]\n  9 -> 28 [size =\"46548992\"]\n  9 -> 29 [size =\"46548992\"]\n  9 -> 35 [size =\"46548992\"]\n  9 -> 45 [size =\"46548992\"]\n  9 -> 46 [size =\"46548992\"]\n  9 -> 48 [size =\"46548992\"]\n  10 [size=\"55004160\", alpha=\"0.00\", expect_size=\"22001664\"] \n  10 -> 20 [size =\"22001664\"]\n  10 -> 21 [size =\"22001664\"]\n  10 -> 22 [size =\"22001664\"]\n  10 -> 25 [size =\"22001664\"]\n  10 -> 27 [size =\"22001664\"]\n  10 -> 28 [size =\"22001664\"]\n  10 -> 29 [size =\"22001664\"]\n  10 -> 31 [size =\"22001664\"]\n  10 -> 36 [size =\"22001664\"]\n  10 -> 37 [size =\"22001664\"]\n  10 -> 40 [size =\"22001664\"]\n  10 -> 42 [size =\"22001664\"]\n  10 -> 45 [size =\"22001664\"]\n  10 -> 46 [size =\"22001664\"]\n  11 [size=\"114938880\", alpha=\"0.00\", expect_size=\"45975552\"] \n  11 -> 18 [size =\"45975552\"]\n  11 -> 19 [size =\"45975552\"]\n  11 -> 21 [size =\"45975552\"]\n  11 -> 25 [size =\"45975552\"]\n  11 -> 27 [size =\"45975552\"]\n  11 -> 40 [size =\"45975552\"]\n  11 -> 42 [size =\"45975552\"]\n  11 -> 44 [size =\"45975552\"]\n  11 -> 45 [size =\"45975552\"]\n  11 -> 46 [size =\"45975552\"]\n  11 -> 49 [size =\"45975552\"]\n  12 [size=\"29811200\", alpha=\"0.00\", expect_size=\"11924480\"] \n  12 -> 19 [size =\"11924480\"]\n  12 -> 20 [size =\"11924480\"]\n  12 -> 21 [size =\"11924480\"]\n  12 -> 22 [size =\"11924480\"]\n  12 -> 28 [size =\"11924480\"]\n  12 -> 33 [size =\"11924480\"]\n  12 -> 35 [size =\"11924480\"]\n  12 -> 36 [size =\"11924480\"]\n  12 -> 42 [size =\"11924480\"]\n  12 -> 47 [size =\"11924480\"]\n  12 -> 49 [size =\"11924480\"]\n  13 [size=\"106357760\", alpha=\"0.04\", expect_size=\"42543104\"] \n  13 -> 19 [size =\"42543104\"]\n  13 -> 20 [size =\"42543104\"]\n  13 -> 21 [size =\"42543104\"]\n  13 -> 22 [size =\"42543104\"]\n  13 -> 23 [size =\"42543104\"]\n  13 -> 30 [size =\"42543104\"]\n  13 -> 34 [size =\"42543104\"]\n  13 -> 36 [size =\"42543104\"]\n  13 -> 40 [size =\"42543104\"]\n  13 -> 42 [size =\"42543104\"]\n  13 -> 45 [size =\"42543104\"]\n  14 [size=\"77058560\", alpha=\"0.12\", expect_size=\"30823424\"] \n  14 -> 19 [size =\"30823424\"]\n  14 -> 22 [size =\"30823424\"]\n  14 -> 28 [size =\"30823424\"]\n  14 -> 30 [size =\"30823424\"]\n  14 -> 31 [size =\"30823424\"]\n  14 -> 33 [size =\"30823424\"]\n  14 -> 36 [size =\"30823424\"]\n  14 -> 38 [size =\"30823424\"]\n  14 -> 42 [size =\"30823424\"]\n  14 -> 45 [size =\"30823424\"]\n  15 [size=\"46668800\", alpha=\"0.06\", expect_size=\"18667520\"] \n  15 -> 18 [size =\"18667520\"]\n  15 -> 19 [size =\"18667520\"]\n  15 -> 20 [size =\"18667520\"]\n  15 -> 22 [size =\"18667520\"]\n  15 -> 35 [size =\"18667520\"]\n  15 -> 40 [size =\"18667520\"]\n  15 -> 43 [size =\"18667520\"]\n  15 -> 45 [size =\"18667520\"]\n  15 -> 46 [size =\"18667520\"]\n  15 -> 47 [size =\"18667520\"]\n  16 [size=\"98214400\", alpha=\"0.06\", expect_size=\"39285760\"] \n  16 -> 19 [size =\"39285760\"]\n  16 -> 21 [size =\"39285760\"]\n  16 -> 22 [size =\"39285760\"]\n  16 -> 24 [size =\"39285760\"]\n  16 -> 35 [size =\"39285760\"]\n  16 -> 39 [size =\"39285760\"]\n  16 -> 42 [size =\"39285760\"]\n  17 [size=\"57799680\", alpha=\"0.02\", expect_size=\"23119872\"] \n  17 -> 22 [size =\"23119872\"]\n  17 -> 28 [size =\"23119872\"]\n  17 -> 29 [size =\"23119872\"]\n  17 -> 31 [size =\"23119872\"]\n  17 -> 32 [size =\"23119872\"]\n  17 -> 35 [size =\"23119872\"]\n  17 -> 42 [size =\"23119872\"]\n  17 -> 47 [size =\"23119872\"]\n  17 -> 48 [size =\"23119872\"]\n  18 [size=\"59947520\", alpha=\"0.03\", expect_size=\"23979008\"] \n  19 [size=\"14110720\", alpha=\"0.05\", expect_size=\"5644288\"] \n  20 [size=\"129907200\", alpha=\"0.00\", expect_size=\"51962880\"] \n  21 [size=\"14307840\", alpha=\"0.19\", expect_size=\"5723136\"] \n  22 [size=\"15311360\", alpha=\"0.04\", expect_size=\"6124544\"] \n  23 [size=\"15759360\", alpha=\"0.16\", expect_size=\"6303744\"] \n  24 [size=\"40399360\", alpha=\"0.04\", expect_size=\"16159744\"] \n  25 [size=\"109117440\", alpha=\"0.04\", expect_size=\"43646976\"] \n  26 [size=\"24204800\", alpha=\"0.07\", expect_size=\"9681920\"] \n  27 [size=\"61934080\", alpha=\"0.02\", expect_size=\"24773632\"] \n  28 [size=\"71431680\", alpha=\"0.15\", expect_size=\"28572672\"] \n  29 [size=\"86978560\", alpha=\"0.06\", expect_size=\"34791424\"] \n  30 [size=\"116840960\", alpha=\"0.04\", expect_size=\"46736384\"] \n  31 [size=\"117665280\", alpha=\"0.18\", expect_size=\"47066112\"] \n  32 [size=\"113817600\", alpha=\"0.16\", expect_size=\"45527040\"] \n  33 [size=\"17441280\", alpha=\"0.10\", expect_size=\"6976512\"] \n  34 [size=\"112148480\", alpha=\"0.14\", expect_size=\"44859392\"] \n  35 [size=\"15196160\", alpha=\"0.04\", expect_size=\"6078464\"] \n  36 [size=\"39767040\", alpha=\"0.09\", expect_size=\"15906816\"] \n  37 [size=\"78886400\", alpha=\"0.01\", expect_size=\"31554560\"] \n  38 [size=\"91891200\", alpha=\"0.01\", expect_size=\"36756480\"] \n  39 [size=\"63994880\", alpha=\"0.01\", expect_size=\"25597952\"] \n  40 [size=\"98460160\", alpha=\"0.01\", expect_size=\"39384064\"] \n  41 [size=\"119221760\", alpha=\"0.02\", expect_size=\"47688704\"] \n  42 [size=\"110149120\", alpha=\"0.02\", expect_size=\"44059648\"] \n  43 [size=\"87946240\", alpha=\"0.03\", expect_size=\"35178496\"] \n  44 [size=\"27898880\", alpha=\"0.09\", expect_size=\"11159552\"] \n  45 [size=\"111928320\", alpha=\"0.11\", expect_size=\"44771328\"] \n  46 [size=\"19699200\", alpha=\"0.15\", expect_size=\"7879680\"] \n  47 [size=\"72250880\", alpha=\"0.07\", expect_size=\"28900352\"] \n  48 [size=\"78348800\", alpha=\"0.09\", expect_size=\"31339520\"] \n  49 [size=\"84833280\", alpha=\"0.04\", expect_size=\"33933312\"] \n  50 [size=\"92710400\", alpha=\"0.16\", expect_size=\"37084160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.139.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143803733\", alpha=\"0.19\", expect_size=\"43141120\"] \n  1 -> 6 [size =\"43141120\"]\n  1 -> 7 [size =\"43141120\"]\n  2 [size=\"115101013\", alpha=\"0.01\", expect_size=\"34530304\"] \n  2 -> 5 [size =\"34530304\"]\n  3 [size=\"64600747\", alpha=\"0.13\", expect_size=\"19380224\"] \n  3 -> 4 [size =\"19380224\"]\n  3 -> 5 [size =\"19380224\"]\n  4 [size=\"94313813\", alpha=\"0.09\", expect_size=\"28294144\"] \n  5 [size=\"68423680\", alpha=\"0.01\", expect_size=\"20527104\"] \n  6 [size=\"170318507\", alpha=\"0.06\", expect_size=\"51095552\"] \n  6 -> 8 [size =\"51095552\"]\n  6 -> 9 [size =\"51095552\"]\n  7 [size=\"129515520\", alpha=\"0.03\", expect_size=\"38854656\"] \n  7 -> 9 [size =\"38854656\"]\n  8 [size=\"172373333\", alpha=\"0.17\", expect_size=\"51712000\"] \n  8 -> 11 [size =\"51712000\"]\n  8 -> 12 [size =\"51712000\"]\n  9 [size=\"69860693\", alpha=\"0.19\", expect_size=\"20958208\"] \n  9 -> 10 [size =\"20958208\"]\n  10 [size=\"38853973\", alpha=\"0.08\", expect_size=\"11656192\"] \n  10 -> 14 [size =\"11656192\"]\n  10 -> 15 [size =\"11656192\"]\n  11 [size=\"36379307\", alpha=\"0.05\", expect_size=\"10913792\"] \n  11 -> 15 [size =\"10913792\"]\n  12 [size=\"24982187\", alpha=\"0.05\", expect_size=\"7494656\"] \n  12 -> 13 [size =\"7494656\"]\n  13 [size=\"36683093\", alpha=\"0.06\", expect_size=\"11004928\"] \n  13 -> 16 [size =\"11004928\"]\n  14 [size=\"142336000\", alpha=\"0.05\", expect_size=\"42700800\"] \n  15 [size=\"52312747\", alpha=\"0.11\", expect_size=\"15693824\"] \n  15 -> 17 [size =\"15693824\"]\n  16 [size=\"61303467\", alpha=\"0.01\", expect_size=\"18391040\"] \n  16 -> 18 [size =\"18391040\"]\n  16 -> 19 [size =\"18391040\"]\n  17 [size=\"104635733\", alpha=\"0.02\", expect_size=\"31390720\"] \n  18 [size=\"128395947\", alpha=\"0.04\", expect_size=\"38518784\"] \n  18 -> 21 [size =\"38518784\"]\n  18 -> 22 [size =\"38518784\"]\n  19 [size=\"101454507\", alpha=\"0.19\", expect_size=\"30436352\"] \n  19 -> 20 [size =\"30436352\"]\n  20 [size=\"93156693\", alpha=\"0.16\", expect_size=\"27947008\"] \n  20 -> 23 [size =\"27947008\"]\n  20 -> 24 [size =\"27947008\"]\n  20 -> 25 [size =\"27947008\"]\n  21 [size=\"152200533\", alpha=\"0.09\", expect_size=\"45660160\"] \n  22 [size=\"33764693\", alpha=\"0.15\", expect_size=\"10129408\"] \n  22 -> 24 [size =\"10129408\"]\n  22 -> 25 [size =\"10129408\"]\n  23 [size=\"74741760\", alpha=\"0.07\", expect_size=\"22422528\"] \n  23 -> 27 [size =\"22422528\"]\n  24 [size=\"118244693\", alpha=\"0.08\", expect_size=\"35473408\"] \n  24 -> 26 [size =\"35473408\"]\n  24 -> 28 [size =\"35473408\"]\n  24 -> 29 [size =\"35473408\"]\n  25 [size=\"160228693\", alpha=\"0.16\", expect_size=\"48068608\"] \n  25 -> 26 [size =\"48068608\"]\n  26 [size=\"92596907\", alpha=\"0.03\", expect_size=\"27779072\"] \n  26 -> 30 [size =\"27779072\"]\n  26 -> 31 [size =\"27779072\"]\n  27 [size=\"103775573\", alpha=\"0.05\", expect_size=\"31132672\"] \n  28 [size=\"117722453\", alpha=\"0.06\", expect_size=\"35316736\"] \n  28 -> 31 [size =\"35316736\"]\n  29 [size=\"147172693\", alpha=\"0.14\", expect_size=\"44151808\"] \n  29 -> 30 [size =\"44151808\"]\n  30 [size=\"135526400\", alpha=\"0.05\", expect_size=\"40657920\"] \n  30 -> 32 [size =\"40657920\"]\n  31 [size=\"102324907\", alpha=\"0.18\", expect_size=\"30697472\"] \n  32 [size=\"173902507\", alpha=\"0.12\", expect_size=\"52170752\"] \n  32 -> 33 [size =\"52170752\"]\n  32 -> 34 [size =\"52170752\"]\n  32 -> 35 [size =\"52170752\"]\n  33 [size=\"133311147\", alpha=\"0.09\", expect_size=\"39993344\"] \n  34 [size=\"27682133\", alpha=\"0.01\", expect_size=\"8304640\"] \n  34 -> 36 [size =\"8304640\"]\n  34 -> 37 [size =\"8304640\"]\n  35 [size=\"91136000\", alpha=\"0.18\", expect_size=\"27340800\"] \n  36 [size=\"60050773\", alpha=\"0.01\", expect_size=\"18015232\"] \n  36 -> 39 [size =\"18015232\"]\n  36 -> 40 [size =\"18015232\"]\n  37 [size=\"87268693\", alpha=\"0.14\", expect_size=\"26180608\"] \n  37 -> 38 [size =\"26180608\"]\n  38 [size=\"127542613\", alpha=\"0.02\", expect_size=\"38262784\"] \n  38 -> 41 [size =\"38262784\"]\n  39 [size=\"21196800\", alpha=\"0.00\", expect_size=\"6359040\"] \n  40 [size=\"135198720\", alpha=\"0.08\", expect_size=\"40559616\"] \n  41 [size=\"19060053\", alpha=\"0.13\", expect_size=\"5718016\"] \n  41 -> 42 [size =\"5718016\"]\n  41 -> 43 [size =\"5718016\"]\n  41 -> 44 [size =\"5718016\"]\n  42 [size=\"163549867\", alpha=\"0.00\", expect_size=\"49064960\"] \n  42 -> 45 [size =\"49064960\"]\n  43 [size=\"104311467\", alpha=\"0.15\", expect_size=\"31293440\"] \n  44 [size=\"17844907\", alpha=\"0.02\", expect_size=\"5353472\"] \n  44 -> 45 [size =\"5353472\"]\n  45 [size=\"29013333\", alpha=\"0.07\", expect_size=\"8704000\"] \n  45 -> 46 [size =\"8704000\"]\n  45 -> 47 [size =\"8704000\"]\n  46 [size=\"172646400\", alpha=\"0.02\", expect_size=\"51793920\"] \n  47 [size=\"20722347\", alpha=\"0.08\", expect_size=\"6216704\"] \n  47 -> 48 [size =\"6216704\"]\n  47 -> 49 [size =\"6216704\"]\n  47 -> 50 [size =\"6216704\"]\n  48 [size=\"132253013\", alpha=\"0.06\", expect_size=\"39675904\"] \n  49 [size=\"146302293\", alpha=\"0.02\", expect_size=\"43890688\"] \n  50 [size=\"146855253\", alpha=\"0.12\", expect_size=\"44056576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104931840\", alpha=\"0.15\", expect_size=\"41972736\"] \n  1 -> 21 [size =\"41972736\"]\n  1 -> 23 [size =\"41972736\"]\n  1 -> 28 [size =\"41972736\"]\n  2 [size=\"119439360\", alpha=\"0.01\", expect_size=\"47775744\"] \n  2 -> 20 [size =\"47775744\"]\n  2 -> 21 [size =\"47775744\"]\n  2 -> 25 [size =\"47775744\"]\n  2 -> 27 [size =\"47775744\"]\n  2 -> 29 [size =\"47775744\"]\n  2 -> 30 [size =\"47775744\"]\n  2 -> 31 [size =\"47775744\"]\n  3 [size=\"118615040\", alpha=\"0.11\", expect_size=\"47446016\"] \n  3 -> 20 [size =\"47446016\"]\n  3 -> 21 [size =\"47446016\"]\n  3 -> 28 [size =\"47446016\"]\n  3 -> 31 [size =\"47446016\"]\n  4 [size=\"108546560\", alpha=\"0.16\", expect_size=\"43418624\"] \n  4 -> 20 [size =\"43418624\"]\n  4 -> 22 [size =\"43418624\"]\n  4 -> 26 [size =\"43418624\"]\n  4 -> 27 [size =\"43418624\"]\n  4 -> 31 [size =\"43418624\"]\n  5 [size=\"18311680\", alpha=\"0.05\", expect_size=\"7324672\"] \n  5 -> 20 [size =\"7324672\"]\n  5 -> 24 [size =\"7324672\"]\n  5 -> 26 [size =\"7324672\"]\n  5 -> 29 [size =\"7324672\"]\n  6 [size=\"96092160\", alpha=\"0.04\", expect_size=\"38436864\"] \n  6 -> 20 [size =\"38436864\"]\n  6 -> 21 [size =\"38436864\"]\n  6 -> 23 [size =\"38436864\"]\n  6 -> 24 [size =\"38436864\"]\n  6 -> 30 [size =\"38436864\"]\n  7 [size=\"50531840\", alpha=\"0.03\", expect_size=\"20212736\"] \n  7 -> 20 [size =\"20212736\"]\n  7 -> 21 [size =\"20212736\"]\n  7 -> 24 [size =\"20212736\"]\n  7 -> 27 [size =\"20212736\"]\n  7 -> 30 [size =\"20212736\"]\n  7 -> 31 [size =\"20212736\"]\n  8 [size=\"105597440\", alpha=\"0.04\", expect_size=\"42238976\"] \n  8 -> 20 [size =\"42238976\"]\n  8 -> 23 [size =\"42238976\"]\n  8 -> 27 [size =\"42238976\"]\n  8 -> 28 [size =\"42238976\"]\n  8 -> 29 [size =\"42238976\"]\n  8 -> 31 [size =\"42238976\"]\n  9 [size=\"112947200\", alpha=\"0.04\", expect_size=\"45178880\"] \n  9 -> 23 [size =\"45178880\"]\n  9 -> 27 [size =\"45178880\"]\n  9 -> 29 [size =\"45178880\"]\n  9 -> 31 [size =\"45178880\"]\n  10 [size=\"106805760\", alpha=\"0.05\", expect_size=\"42722304\"] \n  10 -> 21 [size =\"42722304\"]\n  10 -> 29 [size =\"42722304\"]\n  10 -> 31 [size =\"42722304\"]\n  11 [size=\"43883520\", alpha=\"0.06\", expect_size=\"17553408\"] \n  11 -> 21 [size =\"17553408\"]\n  11 -> 27 [size =\"17553408\"]\n  11 -> 29 [size =\"17553408\"]\n  12 [size=\"13934080\", alpha=\"0.17\", expect_size=\"5573632\"] \n  12 -> 20 [size =\"5573632\"]\n  12 -> 23 [size =\"5573632\"]\n  12 -> 24 [size =\"5573632\"]\n  12 -> 25 [size =\"5573632\"]\n  12 -> 27 [size =\"5573632\"]\n  13 [size=\"19072000\", alpha=\"0.03\", expect_size=\"7628800\"] \n  13 -> 27 [size =\"7628800\"]\n  13 -> 30 [size =\"7628800\"]\n  14 [size=\"84267520\", alpha=\"0.08\", expect_size=\"33707008\"] \n  14 -> 20 [size =\"33707008\"]\n  14 -> 24 [size =\"33707008\"]\n  14 -> 25 [size =\"33707008\"]\n  14 -> 30 [size =\"33707008\"]\n  15 [size=\"60044800\", alpha=\"0.09\", expect_size=\"24017920\"] \n  15 -> 20 [size =\"24017920\"]\n  15 -> 23 [size =\"24017920\"]\n  15 -> 27 [size =\"24017920\"]\n  15 -> 28 [size =\"24017920\"]\n  16 [size=\"87208960\", alpha=\"0.00\", expect_size=\"34883584\"] \n  16 -> 24 [size =\"34883584\"]\n  16 -> 27 [size =\"34883584\"]\n  17 [size=\"109501440\", alpha=\"0.12\", expect_size=\"43800576\"] \n  17 -> 21 [size =\"43800576\"]\n  17 -> 27 [size =\"43800576\"]\n  17 -> 28 [size =\"43800576\"]\n  17 -> 29 [size =\"43800576\"]\n  18 [size=\"124833280\", alpha=\"0.01\", expect_size=\"49933312\"] \n  18 -> 23 [size =\"49933312\"]\n  18 -> 27 [size =\"49933312\"]\n  18 -> 28 [size =\"49933312\"]\n  18 -> 29 [size =\"49933312\"]\n  18 -> 30 [size =\"49933312\"]\n  18 -> 31 [size =\"49933312\"]\n  19 [size=\"32568320\", alpha=\"0.19\", expect_size=\"13027328\"] \n  19 -> 20 [size =\"13027328\"]\n  19 -> 21 [size =\"13027328\"]\n  19 -> 29 [size =\"13027328\"]\n  19 -> 30 [size =\"13027328\"]\n  19 -> 30 [size =\"13027328\"]\n  20 [size=\"58086400\", alpha=\"0.03\", expect_size=\"23234560\"] \n  20 -> 33 [size =\"23234560\"]\n  20 -> 36 [size =\"23234560\"]\n  20 -> 38 [size =\"23234560\"]\n  20 -> 39 [size =\"23234560\"]\n  21 [size=\"89423360\", alpha=\"0.01\", expect_size=\"35769344\"] \n  21 -> 38 [size =\"35769344\"]\n  21 -> 40 [size =\"35769344\"]\n  21 -> 41 [size =\"35769344\"]\n  22 [size=\"127239680\", alpha=\"0.18\", expect_size=\"50895872\"] \n  22 -> 32 [size =\"50895872\"]\n  22 -> 38 [size =\"50895872\"]\n  23 [size=\"110471680\", alpha=\"0.13\", expect_size=\"44188672\"] \n  23 -> 35 [size =\"44188672\"]\n  23 -> 39 [size =\"44188672\"]\n  24 [size=\"127580160\", alpha=\"0.03\", expect_size=\"51032064\"] \n  24 -> 33 [size =\"51032064\"]\n  24 -> 34 [size =\"51032064\"]\n  24 -> 36 [size =\"51032064\"]\n  24 -> 37 [size =\"51032064\"]\n  24 -> 38 [size =\"51032064\"]\n  24 -> 40 [size =\"51032064\"]\n  25 [size=\"57369600\", alpha=\"0.15\", expect_size=\"22947840\"] \n  25 -> 40 [size =\"22947840\"]\n  25 -> 41 [size =\"22947840\"]\n  26 [size=\"109017600\", alpha=\"0.01\", expect_size=\"43607040\"] \n  26 -> 36 [size =\"43607040\"]\n  26 -> 40 [size =\"43607040\"]\n  27 [size=\"110248960\", alpha=\"0.13\", expect_size=\"44099584\"] \n  27 -> 32 [size =\"44099584\"]\n  27 -> 36 [size =\"44099584\"]\n  27 -> 40 [size =\"44099584\"]\n  28 [size=\"64744960\", alpha=\"0.01\", expect_size=\"25897984\"] \n  28 -> 32 [size =\"25897984\"]\n  28 -> 36 [size =\"25897984\"]\n  28 -> 37 [size =\"25897984\"]\n  29 [size=\"71841280\", alpha=\"0.05\", expect_size=\"28736512\"] \n  29 -> 39 [size =\"28736512\"]\n  30 [size=\"68477440\", alpha=\"0.06\", expect_size=\"27390976\"] \n  30 -> 33 [size =\"27390976\"]\n  30 -> 36 [size =\"27390976\"]\n  30 -> 38 [size =\"27390976\"]\n  31 [size=\"83581440\", alpha=\"0.12\", expect_size=\"33432576\"] \n  31 -> 33 [size =\"33432576\"]\n  31 -> 37 [size =\"33432576\"]\n  31 -> 38 [size =\"33432576\"]\n  31 -> 41 [size =\"33432576\"]\n  32 [size=\"91010560\", alpha=\"0.18\", expect_size=\"36404224\"] \n  32 -> 45 [size =\"36404224\"]\n  32 -> 49 [size =\"36404224\"]\n  32 -> 50 [size =\"36404224\"]\n  33 [size=\"79137280\", alpha=\"0.05\", expect_size=\"31654912\"] \n  33 -> 49 [size =\"31654912\"]\n  33 -> 49 [size =\"31654912\"]\n  33 -> 50 [size =\"31654912\"]\n  34 [size=\"35502080\", alpha=\"0.04\", expect_size=\"14200832\"] \n  34 -> 42 [size =\"14200832\"]\n  34 -> 45 [size =\"14200832\"]\n  34 -> 47 [size =\"14200832\"]\n  34 -> 50 [size =\"14200832\"]\n  35 [size=\"55549440\", alpha=\"0.11\", expect_size=\"22219776\"] \n  35 -> 43 [size =\"22219776\"]\n  35 -> 45 [size =\"22219776\"]\n  35 -> 49 [size =\"22219776\"]\n  35 -> 50 [size =\"22219776\"]\n  36 [size=\"26519040\", alpha=\"0.10\", expect_size=\"10607616\"] \n  36 -> 42 [size =\"10607616\"]\n  36 -> 43 [size =\"10607616\"]\n  36 -> 46 [size =\"10607616\"]\n  36 -> 47 [size =\"10607616\"]\n  37 [size=\"31395840\", alpha=\"0.06\", expect_size=\"12558336\"] \n  37 -> 43 [size =\"12558336\"]\n  37 -> 46 [size =\"12558336\"]\n  37 -> 47 [size =\"12558336\"]\n  37 -> 48 [size =\"12558336\"]\n  38 [size=\"107609600\", alpha=\"0.01\", expect_size=\"43043840\"] \n  38 -> 43 [size =\"43043840\"]\n  38 -> 44 [size =\"43043840\"]\n  38 -> 45 [size =\"43043840\"]\n  38 -> 47 [size =\"43043840\"]\n  38 -> 49 [size =\"43043840\"]\n  39 [size=\"111718400\", alpha=\"0.19\", expect_size=\"44687360\"] \n  39 -> 42 [size =\"44687360\"]\n  39 -> 47 [size =\"44687360\"]\n  40 [size=\"25600000\", alpha=\"0.05\", expect_size=\"10240000\"] \n  40 -> 42 [size =\"10240000\"]\n  40 -> 43 [size =\"10240000\"]\n  40 -> 48 [size =\"10240000\"]\n  40 -> 49 [size =\"10240000\"]\n  40 -> 50 [size =\"10240000\"]\n  41 [size=\"60922880\", alpha=\"0.04\", expect_size=\"24369152\"] \n  41 -> 42 [size =\"24369152\"]\n  41 -> 43 [size =\"24369152\"]\n  41 -> 45 [size =\"24369152\"]\n  41 -> 46 [size =\"24369152\"]\n  41 -> 50 [size =\"24369152\"]\n  42 [size=\"130493440\", alpha=\"0.02\", expect_size=\"52197376\"] \n  43 [size=\"117178880\", alpha=\"0.16\", expect_size=\"46871552\"] \n  44 [size=\"26944000\", alpha=\"0.10\", expect_size=\"10777600\"] \n  45 [size=\"48916480\", alpha=\"0.12\", expect_size=\"19566592\"] \n  46 [size=\"112066560\", alpha=\"0.09\", expect_size=\"44826624\"] \n  47 [size=\"54568960\", alpha=\"0.04\", expect_size=\"21827584\"] \n  48 [size=\"90785280\", alpha=\"0.06\", expect_size=\"36314112\"] \n  49 [size=\"96517120\", alpha=\"0.19\", expect_size=\"38606848\"] \n  50 [size=\"91223040\", alpha=\"0.02\", expect_size=\"36489216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.140.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12087296\", alpha=\"0.19\", expect_size=\"6043648\"] \n  1 -> 23 [size =\"6043648\"]\n  1 -> 26 [size =\"6043648\"]\n  1 -> 28 [size =\"6043648\"]\n  1 -> 30 [size =\"6043648\"]\n  2 [size=\"41805824\", alpha=\"0.11\", expect_size=\"20902912\"] \n  2 -> 23 [size =\"20902912\"]\n  2 -> 26 [size =\"20902912\"]\n  2 -> 27 [size =\"20902912\"]\n  2 -> 29 [size =\"20902912\"]\n  2 -> 31 [size =\"20902912\"]\n  3 [size=\"85307392\", alpha=\"0.20\", expect_size=\"42653696\"] \n  3 -> 26 [size =\"42653696\"]\n  3 -> 28 [size =\"42653696\"]\n  3 -> 29 [size =\"42653696\"]\n  3 -> 30 [size =\"42653696\"]\n  3 -> 31 [size =\"42653696\"]\n  4 [size=\"53272576\", alpha=\"0.11\", expect_size=\"26636288\"] \n  4 -> 28 [size =\"26636288\"]\n  5 [size=\"73510912\", alpha=\"0.06\", expect_size=\"36755456\"] \n  5 -> 23 [size =\"36755456\"]\n  5 -> 27 [size =\"36755456\"]\n  5 -> 31 [size =\"36755456\"]\n  6 [size=\"86919168\", alpha=\"0.10\", expect_size=\"43459584\"] \n  6 -> 25 [size =\"43459584\"]\n  6 -> 27 [size =\"43459584\"]\n  6 -> 28 [size =\"43459584\"]\n  6 -> 31 [size =\"43459584\"]\n  7 [size=\"42131456\", alpha=\"0.19\", expect_size=\"21065728\"] \n  7 -> 23 [size =\"21065728\"]\n  7 -> 27 [size =\"21065728\"]\n  7 -> 28 [size =\"21065728\"]\n  7 -> 31 [size =\"21065728\"]\n  8 [size=\"61003776\", alpha=\"0.18\", expect_size=\"30501888\"] \n  8 -> 23 [size =\"30501888\"]\n  8 -> 25 [size =\"30501888\"]\n  8 -> 27 [size =\"30501888\"]\n  8 -> 28 [size =\"30501888\"]\n  8 -> 31 [size =\"30501888\"]\n  9 [size=\"44384256\", alpha=\"0.14\", expect_size=\"22192128\"] \n  9 -> 23 [size =\"22192128\"]\n  9 -> 26 [size =\"22192128\"]\n  9 -> 27 [size =\"22192128\"]\n  9 -> 28 [size =\"22192128\"]\n  9 -> 29 [size =\"22192128\"]\n  9 -> 30 [size =\"22192128\"]\n  9 -> 31 [size =\"22192128\"]\n  10 [size=\"41807872\", alpha=\"0.03\", expect_size=\"20903936\"] \n  10 -> 23 [size =\"20903936\"]\n  10 -> 26 [size =\"20903936\"]\n  10 -> 28 [size =\"20903936\"]\n  10 -> 28 [size =\"20903936\"]\n  10 -> 31 [size =\"20903936\"]\n  11 [size=\"20072448\", alpha=\"0.16\", expect_size=\"10036224\"] \n  11 -> 23 [size =\"10036224\"]\n  11 -> 26 [size =\"10036224\"]\n  11 -> 27 [size =\"10036224\"]\n  11 -> 31 [size =\"10036224\"]\n  12 [size=\"14432256\", alpha=\"0.08\", expect_size=\"7216128\"] \n  12 -> 25 [size =\"7216128\"]\n  12 -> 26 [size =\"7216128\"]\n  12 -> 27 [size =\"7216128\"]\n  12 -> 28 [size =\"7216128\"]\n  12 -> 29 [size =\"7216128\"]\n  12 -> 31 [size =\"7216128\"]\n  13 [size=\"65839104\", alpha=\"0.06\", expect_size=\"32919552\"] \n  13 -> 23 [size =\"32919552\"]\n  13 -> 26 [size =\"32919552\"]\n  13 -> 27 [size =\"32919552\"]\n  13 -> 28 [size =\"32919552\"]\n  13 -> 31 [size =\"32919552\"]\n  14 [size=\"63948800\", alpha=\"0.19\", expect_size=\"31974400\"] \n  14 -> 23 [size =\"31974400\"]\n  14 -> 24 [size =\"31974400\"]\n  14 -> 31 [size =\"31974400\"]\n  15 [size=\"20295680\", alpha=\"0.02\", expect_size=\"10147840\"] \n  15 -> 23 [size =\"10147840\"]\n  15 -> 26 [size =\"10147840\"]\n  15 -> 27 [size =\"10147840\"]\n  16 [size=\"49946624\", alpha=\"0.01\", expect_size=\"24973312\"] \n  16 -> 23 [size =\"24973312\"]\n  16 -> 25 [size =\"24973312\"]\n  16 -> 26 [size =\"24973312\"]\n  16 -> 27 [size =\"24973312\"]\n  17 [size=\"95217664\", alpha=\"0.08\", expect_size=\"47608832\"] \n  17 -> 23 [size =\"47608832\"]\n  17 -> 26 [size =\"47608832\"]\n  17 -> 27 [size =\"47608832\"]\n  17 -> 28 [size =\"47608832\"]\n  17 -> 30 [size =\"47608832\"]\n  18 [size=\"92610560\", alpha=\"0.03\", expect_size=\"46305280\"] \n  18 -> 26 [size =\"46305280\"]\n  18 -> 27 [size =\"46305280\"]\n  18 -> 28 [size =\"46305280\"]\n  18 -> 28 [size =\"46305280\"]\n  18 -> 29 [size =\"46305280\"]\n  18 -> 31 [size =\"46305280\"]\n  19 [size=\"83812352\", alpha=\"0.15\", expect_size=\"41906176\"] \n  19 -> 23 [size =\"41906176\"]\n  19 -> 26 [size =\"41906176\"]\n  19 -> 27 [size =\"41906176\"]\n  19 -> 28 [size =\"41906176\"]\n  19 -> 29 [size =\"41906176\"]\n  19 -> 31 [size =\"41906176\"]\n  20 [size=\"57597952\", alpha=\"0.11\", expect_size=\"28798976\"] \n  20 -> 23 [size =\"28798976\"]\n  20 -> 26 [size =\"28798976\"]\n  20 -> 28 [size =\"28798976\"]\n  20 -> 29 [size =\"28798976\"]\n  21 [size=\"70844416\", alpha=\"0.07\", expect_size=\"35422208\"] \n  21 -> 26 [size =\"35422208\"]\n  21 -> 26 [size =\"35422208\"]\n  21 -> 28 [size =\"35422208\"]\n  21 -> 29 [size =\"35422208\"]\n  21 -> 30 [size =\"35422208\"]\n  22 [size=\"50110464\", alpha=\"0.09\", expect_size=\"25055232\"] \n  22 -> 23 [size =\"25055232\"]\n  22 -> 26 [size =\"25055232\"]\n  23 [size=\"88637440\", alpha=\"0.08\", expect_size=\"44318720\"] \n  23 -> 33 [size =\"44318720\"]\n  23 -> 34 [size =\"44318720\"]\n  23 -> 36 [size =\"44318720\"]\n  23 -> 37 [size =\"44318720\"]\n  23 -> 38 [size =\"44318720\"]\n  23 -> 39 [size =\"44318720\"]\n  23 -> 41 [size =\"44318720\"]\n  23 -> 42 [size =\"44318720\"]\n  23 -> 44 [size =\"44318720\"]\n  24 [size=\"23867392\", alpha=\"0.15\", expect_size=\"11933696\"] \n  24 -> 32 [size =\"11933696\"]\n  24 -> 33 [size =\"11933696\"]\n  24 -> 34 [size =\"11933696\"]\n  24 -> 37 [size =\"11933696\"]\n  24 -> 38 [size =\"11933696\"]\n  25 [size=\"18020352\", alpha=\"0.16\", expect_size=\"9010176\"] \n  25 -> 32 [size =\"9010176\"]\n  25 -> 33 [size =\"9010176\"]\n  25 -> 35 [size =\"9010176\"]\n  25 -> 37 [size =\"9010176\"]\n  25 -> 38 [size =\"9010176\"]\n  25 -> 39 [size =\"9010176\"]\n  25 -> 40 [size =\"9010176\"]\n  25 -> 42 [size =\"9010176\"]\n  25 -> 43 [size =\"9010176\"]\n  25 -> 44 [size =\"9010176\"]\n  26 [size=\"26724352\", alpha=\"0.13\", expect_size=\"13362176\"] \n  26 -> 33 [size =\"13362176\"]\n  26 -> 34 [size =\"13362176\"]\n  26 -> 35 [size =\"13362176\"]\n  26 -> 37 [size =\"13362176\"]\n  26 -> 38 [size =\"13362176\"]\n  26 -> 40 [size =\"13362176\"]\n  26 -> 40 [size =\"13362176\"]\n  26 -> 41 [size =\"13362176\"]\n  26 -> 43 [size =\"13362176\"]\n  27 [size=\"30689280\", alpha=\"0.17\", expect_size=\"15344640\"] \n  27 -> 33 [size =\"15344640\"]\n  27 -> 34 [size =\"15344640\"]\n  27 -> 35 [size =\"15344640\"]\n  27 -> 37 [size =\"15344640\"]\n  27 -> 40 [size =\"15344640\"]\n  27 -> 40 [size =\"15344640\"]\n  27 -> 42 [size =\"15344640\"]\n  28 [size=\"69132288\", alpha=\"0.12\", expect_size=\"34566144\"] \n  28 -> 32 [size =\"34566144\"]\n  28 -> 34 [size =\"34566144\"]\n  28 -> 35 [size =\"34566144\"]\n  28 -> 37 [size =\"34566144\"]\n  28 -> 39 [size =\"34566144\"]\n  28 -> 40 [size =\"34566144\"]\n  29 [size=\"81367040\", alpha=\"0.13\", expect_size=\"40683520\"] \n  29 -> 32 [size =\"40683520\"]\n  29 -> 33 [size =\"40683520\"]\n  29 -> 34 [size =\"40683520\"]\n  29 -> 37 [size =\"40683520\"]\n  29 -> 38 [size =\"40683520\"]\n  29 -> 41 [size =\"40683520\"]\n  30 [size=\"57753600\", alpha=\"0.02\", expect_size=\"28876800\"] \n  30 -> 32 [size =\"28876800\"]\n  30 -> 33 [size =\"28876800\"]\n  30 -> 34 [size =\"28876800\"]\n  30 -> 35 [size =\"28876800\"]\n  30 -> 38 [size =\"28876800\"]\n  30 -> 41 [size =\"28876800\"]\n  30 -> 43 [size =\"28876800\"]\n  30 -> 44 [size =\"28876800\"]\n  31 [size=\"13625344\", alpha=\"0.12\", expect_size=\"6812672\"] \n  31 -> 33 [size =\"6812672\"]\n  31 -> 37 [size =\"6812672\"]\n  31 -> 38 [size =\"6812672\"]\n  31 -> 40 [size =\"6812672\"]\n  31 -> 42 [size =\"6812672\"]\n  31 -> 44 [size =\"6812672\"]\n  32 [size=\"44957696\", alpha=\"0.03\", expect_size=\"22478848\"] \n  32 -> 46 [size =\"22478848\"]\n  32 -> 48 [size =\"22478848\"]\n  32 -> 48 [size =\"22478848\"]\n  33 [size=\"88698880\", alpha=\"0.06\", expect_size=\"44349440\"] \n  33 -> 45 [size =\"44349440\"]\n  33 -> 47 [size =\"44349440\"]\n  33 -> 48 [size =\"44349440\"]\n  34 [size=\"30928896\", alpha=\"0.01\", expect_size=\"15464448\"] \n  34 -> 48 [size =\"15464448\"]\n  34 -> 49 [size =\"15464448\"]\n  35 [size=\"103176192\", alpha=\"0.17\", expect_size=\"51588096\"] \n  35 -> 46 [size =\"51588096\"]\n  35 -> 48 [size =\"51588096\"]\n  35 -> 49 [size =\"51588096\"]\n  36 [size=\"85356544\", alpha=\"0.02\", expect_size=\"42678272\"] \n  36 -> 46 [size =\"42678272\"]\n  36 -> 47 [size =\"42678272\"]\n  36 -> 48 [size =\"42678272\"]\n  37 [size=\"53899264\", alpha=\"0.04\", expect_size=\"26949632\"] \n  37 -> 45 [size =\"26949632\"]\n  38 [size=\"40456192\", alpha=\"0.04\", expect_size=\"20228096\"] \n  38 -> 48 [size =\"20228096\"]\n  38 -> 49 [size =\"20228096\"]\n  39 [size=\"95541248\", alpha=\"0.20\", expect_size=\"47770624\"] \n  39 -> 45 [size =\"47770624\"]\n  39 -> 48 [size =\"47770624\"]\n  39 -> 49 [size =\"47770624\"]\n  40 [size=\"64315392\", alpha=\"0.06\", expect_size=\"32157696\"] \n  40 -> 49 [size =\"32157696\"]\n  41 [size=\"72470528\", alpha=\"0.04\", expect_size=\"36235264\"] \n  41 -> 48 [size =\"36235264\"]\n  42 [size=\"35221504\", alpha=\"0.11\", expect_size=\"17610752\"] \n  42 -> 48 [size =\"17610752\"]\n  42 -> 49 [size =\"17610752\"]\n  43 [size=\"50888704\", alpha=\"0.14\", expect_size=\"25444352\"] \n  43 -> 45 [size =\"25444352\"]\n  43 -> 48 [size =\"25444352\"]\n  43 -> 50 [size =\"25444352\"]\n  44 [size=\"80453632\", alpha=\"0.00\", expect_size=\"40226816\"] \n  44 -> 45 [size =\"40226816\"]\n  44 -> 46 [size =\"40226816\"]\n  44 -> 48 [size =\"40226816\"]\n  44 -> 50 [size =\"40226816\"]\n  45 [size=\"83009536\", alpha=\"0.08\", expect_size=\"41504768\"] \n  46 [size=\"68366336\", alpha=\"0.19\", expect_size=\"34183168\"] \n  47 [size=\"75986944\", alpha=\"0.15\", expect_size=\"37993472\"] \n  48 [size=\"96229376\", alpha=\"0.03\", expect_size=\"48114688\"] \n  49 [size=\"22480896\", alpha=\"0.06\", expect_size=\"11240448\"] \n  50 [size=\"22437888\", alpha=\"0.19\", expect_size=\"11218944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.141.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75013120\", alpha=\"0.18\", expect_size=\"30005248\"] \n  1 -> 29 [size =\"30005248\"]\n  1 -> 38 [size =\"30005248\"]\n  1 -> 40 [size =\"30005248\"]\n  1 -> 43 [size =\"30005248\"]\n  1 -> 45 [size =\"30005248\"]\n  1 -> 47 [size =\"30005248\"]\n  1 -> 49 [size =\"30005248\"]\n  2 [size=\"22906880\", alpha=\"0.18\", expect_size=\"9162752\"] \n  2 -> 24 [size =\"9162752\"]\n  2 -> 25 [size =\"9162752\"]\n  2 -> 29 [size =\"9162752\"]\n  2 -> 31 [size =\"9162752\"]\n  2 -> 32 [size =\"9162752\"]\n  2 -> 33 [size =\"9162752\"]\n  2 -> 34 [size =\"9162752\"]\n  2 -> 38 [size =\"9162752\"]\n  2 -> 40 [size =\"9162752\"]\n  2 -> 43 [size =\"9162752\"]\n  2 -> 44 [size =\"9162752\"]\n  3 [size=\"100480000\", alpha=\"0.06\", expect_size=\"40192000\"] \n  3 -> 24 [size =\"40192000\"]\n  3 -> 26 [size =\"40192000\"]\n  3 -> 30 [size =\"40192000\"]\n  3 -> 36 [size =\"40192000\"]\n  3 -> 40 [size =\"40192000\"]\n  3 -> 46 [size =\"40192000\"]\n  3 -> 49 [size =\"40192000\"]\n  4 [size=\"40378880\", alpha=\"0.01\", expect_size=\"16151552\"] \n  4 -> 26 [size =\"16151552\"]\n  4 -> 28 [size =\"16151552\"]\n  4 -> 29 [size =\"16151552\"]\n  4 -> 37 [size =\"16151552\"]\n  4 -> 44 [size =\"16151552\"]\n  4 -> 45 [size =\"16151552\"]\n  4 -> 47 [size =\"16151552\"]\n  4 -> 48 [size =\"16151552\"]\n  4 -> 49 [size =\"16151552\"]\n  5 [size=\"85038080\", alpha=\"0.01\", expect_size=\"34015232\"] \n  5 -> 28 [size =\"34015232\"]\n  5 -> 29 [size =\"34015232\"]\n  5 -> 35 [size =\"34015232\"]\n  5 -> 38 [size =\"34015232\"]\n  5 -> 42 [size =\"34015232\"]\n  5 -> 43 [size =\"34015232\"]\n  6 [size=\"93934080\", alpha=\"0.03\", expect_size=\"37573632\"] \n  6 -> 23 [size =\"37573632\"]\n  6 -> 26 [size =\"37573632\"]\n  6 -> 30 [size =\"37573632\"]\n  6 -> 31 [size =\"37573632\"]\n  6 -> 32 [size =\"37573632\"]\n  6 -> 48 [size =\"37573632\"]\n  7 [size=\"83560960\", alpha=\"0.05\", expect_size=\"33424384\"] \n  7 -> 23 [size =\"33424384\"]\n  7 -> 26 [size =\"33424384\"]\n  7 -> 27 [size =\"33424384\"]\n  7 -> 34 [size =\"33424384\"]\n  7 -> 43 [size =\"33424384\"]\n  8 [size=\"26165760\", alpha=\"0.20\", expect_size=\"10466304\"] \n  8 -> 26 [size =\"10466304\"]\n  8 -> 27 [size =\"10466304\"]\n  8 -> 29 [size =\"10466304\"]\n  8 -> 36 [size =\"10466304\"]\n  8 -> 40 [size =\"10466304\"]\n  8 -> 41 [size =\"10466304\"]\n  8 -> 44 [size =\"10466304\"]\n  8 -> 45 [size =\"10466304\"]\n  8 -> 47 [size =\"10466304\"]\n  9 [size=\"89226240\", alpha=\"0.11\", expect_size=\"35690496\"] \n  9 -> 26 [size =\"35690496\"]\n  9 -> 28 [size =\"35690496\"]\n  9 -> 30 [size =\"35690496\"]\n  9 -> 32 [size =\"35690496\"]\n  9 -> 36 [size =\"35690496\"]\n  9 -> 39 [size =\"35690496\"]\n  9 -> 40 [size =\"35690496\"]\n  9 -> 41 [size =\"35690496\"]\n  9 -> 42 [size =\"35690496\"]\n  9 -> 45 [size =\"35690496\"]\n  9 -> 50 [size =\"35690496\"]\n  10 [size=\"42800640\", alpha=\"0.15\", expect_size=\"17120256\"] \n  10 -> 28 [size =\"17120256\"]\n  10 -> 31 [size =\"17120256\"]\n  10 -> 38 [size =\"17120256\"]\n  10 -> 40 [size =\"17120256\"]\n  10 -> 42 [size =\"17120256\"]\n  10 -> 43 [size =\"17120256\"]\n  10 -> 47 [size =\"17120256\"]\n  10 -> 48 [size =\"17120256\"]\n  10 -> 49 [size =\"17120256\"]\n  10 -> 50 [size =\"17120256\"]\n  11 [size=\"41520640\", alpha=\"0.03\", expect_size=\"16608256\"] \n  11 -> 23 [size =\"16608256\"]\n  11 -> 34 [size =\"16608256\"]\n  11 -> 39 [size =\"16608256\"]\n  11 -> 42 [size =\"16608256\"]\n  11 -> 42 [size =\"16608256\"]\n  11 -> 45 [size =\"16608256\"]\n  11 -> 46 [size =\"16608256\"]\n  11 -> 48 [size =\"16608256\"]\n  11 -> 49 [size =\"16608256\"]\n  12 [size=\"28032000\", alpha=\"0.06\", expect_size=\"11212800\"] \n  12 -> 23 [size =\"11212800\"]\n  12 -> 24 [size =\"11212800\"]\n  12 -> 26 [size =\"11212800\"]\n  12 -> 27 [size =\"11212800\"]\n  12 -> 34 [size =\"11212800\"]\n  12 -> 35 [size =\"11212800\"]\n  12 -> 39 [size =\"11212800\"]\n  12 -> 42 [size =\"11212800\"]\n  12 -> 45 [size =\"11212800\"]\n  12 -> 50 [size =\"11212800\"]\n  13 [size=\"18915840\", alpha=\"0.11\", expect_size=\"7566336\"] \n  13 -> 29 [size =\"7566336\"]\n  13 -> 30 [size =\"7566336\"]\n  13 -> 32 [size =\"7566336\"]\n  13 -> 35 [size =\"7566336\"]\n  13 -> 41 [size =\"7566336\"]\n  13 -> 42 [size =\"7566336\"]\n  13 -> 44 [size =\"7566336\"]\n  13 -> 45 [size =\"7566336\"]\n  13 -> 45 [size =\"7566336\"]\n  13 -> 46 [size =\"7566336\"]\n  13 -> 49 [size =\"7566336\"]\n  13 -> 50 [size =\"7566336\"]\n  14 [size=\"55810560\", alpha=\"0.16\", expect_size=\"22324224\"] \n  14 -> 23 [size =\"22324224\"]\n  14 -> 24 [size =\"22324224\"]\n  14 -> 32 [size =\"22324224\"]\n  14 -> 42 [size =\"22324224\"]\n  14 -> 45 [size =\"22324224\"]\n  14 -> 46 [size =\"22324224\"]\n  14 -> 47 [size =\"22324224\"]\n  14 -> 48 [size =\"22324224\"]\n  15 [size=\"62673920\", alpha=\"0.16\", expect_size=\"25069568\"] \n  15 -> 23 [size =\"25069568\"]\n  15 -> 24 [size =\"25069568\"]\n  15 -> 30 [size =\"25069568\"]\n  15 -> 32 [size =\"25069568\"]\n  15 -> 36 [size =\"25069568\"]\n  15 -> 42 [size =\"25069568\"]\n  15 -> 47 [size =\"25069568\"]\n  16 [size=\"66531840\", alpha=\"0.20\", expect_size=\"26612736\"] \n  16 -> 24 [size =\"26612736\"]\n  16 -> 25 [size =\"26612736\"]\n  16 -> 26 [size =\"26612736\"]\n  16 -> 30 [size =\"26612736\"]\n  16 -> 34 [size =\"26612736\"]\n  16 -> 35 [size =\"26612736\"]\n  16 -> 36 [size =\"26612736\"]\n  16 -> 42 [size =\"26612736\"]\n  17 [size=\"82542080\", alpha=\"0.11\", expect_size=\"33016832\"] \n  17 -> 23 [size =\"33016832\"]\n  17 -> 24 [size =\"33016832\"]\n  17 -> 27 [size =\"33016832\"]\n  17 -> 28 [size =\"33016832\"]\n  17 -> 32 [size =\"33016832\"]\n  17 -> 34 [size =\"33016832\"]\n  17 -> 38 [size =\"33016832\"]\n  17 -> 46 [size =\"33016832\"]\n  17 -> 49 [size =\"33016832\"]\n  17 -> 50 [size =\"33016832\"]\n  18 [size=\"111290880\", alpha=\"0.00\", expect_size=\"44516352\"] \n  18 -> 23 [size =\"44516352\"]\n  18 -> 32 [size =\"44516352\"]\n  18 -> 36 [size =\"44516352\"]\n  18 -> 43 [size =\"44516352\"]\n  18 -> 44 [size =\"44516352\"]\n  18 -> 46 [size =\"44516352\"]\n  18 -> 47 [size =\"44516352\"]\n  19 [size=\"110991360\", alpha=\"0.16\", expect_size=\"44396544\"] \n  19 -> 26 [size =\"44396544\"]\n  19 -> 32 [size =\"44396544\"]\n  19 -> 33 [size =\"44396544\"]\n  19 -> 34 [size =\"44396544\"]\n  19 -> 36 [size =\"44396544\"]\n  19 -> 43 [size =\"44396544\"]\n  19 -> 46 [size =\"44396544\"]\n  19 -> 48 [size =\"44396544\"]\n  19 -> 50 [size =\"44396544\"]\n  20 [size=\"57763840\", alpha=\"0.06\", expect_size=\"23105536\"] \n  20 -> 23 [size =\"23105536\"]\n  20 -> 32 [size =\"23105536\"]\n  20 -> 44 [size =\"23105536\"]\n  20 -> 46 [size =\"23105536\"]\n  20 -> 47 [size =\"23105536\"]\n  20 -> 48 [size =\"23105536\"]\n  20 -> 49 [size =\"23105536\"]\n  20 -> 50 [size =\"23105536\"]\n  21 [size=\"27020800\", alpha=\"0.05\", expect_size=\"10808320\"] \n  21 -> 23 [size =\"10808320\"]\n  21 -> 35 [size =\"10808320\"]\n  21 -> 36 [size =\"10808320\"]\n  21 -> 40 [size =\"10808320\"]\n  21 -> 44 [size =\"10808320\"]\n  21 -> 47 [size =\"10808320\"]\n  22 [size=\"44802560\", alpha=\"0.07\", expect_size=\"17921024\"] \n  22 -> 23 [size =\"17921024\"]\n  22 -> 27 [size =\"17921024\"]\n  22 -> 31 [size =\"17921024\"]\n  22 -> 32 [size =\"17921024\"]\n  22 -> 34 [size =\"17921024\"]\n  22 -> 36 [size =\"17921024\"]\n  22 -> 38 [size =\"17921024\"]\n  22 -> 40 [size =\"17921024\"]\n  22 -> 42 [size =\"17921024\"]\n  22 -> 44 [size =\"17921024\"]\n  22 -> 46 [size =\"17921024\"]\n  22 -> 47 [size =\"17921024\"]\n  22 -> 50 [size =\"17921024\"]\n  23 [size=\"81943040\", alpha=\"0.03\", expect_size=\"32777216\"] \n  24 [size=\"26629120\", alpha=\"0.04\", expect_size=\"10651648\"] \n  25 [size=\"122933760\", alpha=\"0.17\", expect_size=\"49173504\"] \n  26 [size=\"96555520\", alpha=\"0.04\", expect_size=\"38622208\"] \n  27 [size=\"94323200\", alpha=\"0.02\", expect_size=\"37729280\"] \n  28 [size=\"44093440\", alpha=\"0.03\", expect_size=\"17637376\"] \n  29 [size=\"45473280\", alpha=\"0.17\", expect_size=\"18189312\"] \n  30 [size=\"23823360\", alpha=\"0.16\", expect_size=\"9529344\"] \n  31 [size=\"56739840\", alpha=\"0.20\", expect_size=\"22695936\"] \n  32 [size=\"88161280\", alpha=\"0.06\", expect_size=\"35264512\"] \n  33 [size=\"127889920\", alpha=\"0.13\", expect_size=\"51155968\"] \n  34 [size=\"27371520\", alpha=\"0.07\", expect_size=\"10948608\"] \n  35 [size=\"49807360\", alpha=\"0.10\", expect_size=\"19922944\"] \n  36 [size=\"31198720\", alpha=\"0.02\", expect_size=\"12479488\"] \n  37 [size=\"52377600\", alpha=\"0.06\", expect_size=\"20951040\"] \n  38 [size=\"65830400\", alpha=\"0.06\", expect_size=\"26332160\"] \n  39 [size=\"84618240\", alpha=\"0.03\", expect_size=\"33847296\"] \n  40 [size=\"66900480\", alpha=\"0.07\", expect_size=\"26760192\"] \n  41 [size=\"42370560\", alpha=\"0.14\", expect_size=\"16948224\"] \n  42 [size=\"39441920\", alpha=\"0.06\", expect_size=\"15776768\"] \n  43 [size=\"73041920\", alpha=\"0.10\", expect_size=\"29216768\"] \n  44 [size=\"31016960\", alpha=\"0.16\", expect_size=\"12406784\"] \n  45 [size=\"74032640\", alpha=\"0.01\", expect_size=\"29613056\"] \n  46 [size=\"15731200\", alpha=\"0.00\", expect_size=\"6292480\"] \n  47 [size=\"27502080\", alpha=\"0.13\", expect_size=\"11000832\"] \n  48 [size=\"60812800\", alpha=\"0.11\", expect_size=\"24325120\"] \n  49 [size=\"95887360\", alpha=\"0.14\", expect_size=\"38354944\"] \n  50 [size=\"112642560\", alpha=\"0.19\", expect_size=\"45057024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.142.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93900800\", alpha=\"0.11\", expect_size=\"46950400\"] \n  1 -> 10 [size =\"46950400\"]\n  1 -> 11 [size =\"46950400\"]\n  1 -> 14 [size =\"46950400\"]\n  2 [size=\"65767424\", alpha=\"0.02\", expect_size=\"32883712\"] \n  2 -> 10 [size =\"32883712\"]\n  3 [size=\"93216768\", alpha=\"0.04\", expect_size=\"46608384\"] \n  3 -> 12 [size =\"46608384\"]\n  4 [size=\"18788352\", alpha=\"0.05\", expect_size=\"9394176\"] \n  4 -> 11 [size =\"9394176\"]\n  5 [size=\"29147136\", alpha=\"0.17\", expect_size=\"14573568\"] \n  6 [size=\"94666752\", alpha=\"0.11\", expect_size=\"47333376\"] \n  6 -> 13 [size =\"47333376\"]\n  7 [size=\"75612160\", alpha=\"0.17\", expect_size=\"37806080\"] \n  7 -> 10 [size =\"37806080\"]\n  8 [size=\"75376640\", alpha=\"0.04\", expect_size=\"37688320\"] \n  8 -> 9 [size =\"37688320\"]\n  8 -> 11 [size =\"37688320\"]\n  8 -> 12 [size =\"37688320\"]\n  9 [size=\"87504896\", alpha=\"0.19\", expect_size=\"43752448\"] \n  9 -> 17 [size =\"43752448\"]\n  10 [size=\"42475520\", alpha=\"0.19\", expect_size=\"21237760\"] \n  10 -> 17 [size =\"21237760\"]\n  10 -> 19 [size =\"21237760\"]\n  11 [size=\"75456512\", alpha=\"0.06\", expect_size=\"37728256\"] \n  12 [size=\"33218560\", alpha=\"0.19\", expect_size=\"16609280\"] \n  13 [size=\"41711616\", alpha=\"0.17\", expect_size=\"20855808\"] \n  13 -> 15 [size =\"20855808\"]\n  13 -> 16 [size =\"20855808\"]\n  13 -> 18 [size =\"20855808\"]\n  13 -> 19 [size =\"20855808\"]\n  14 [size=\"61554688\", alpha=\"0.06\", expect_size=\"30777344\"] \n  14 -> 16 [size =\"30777344\"]\n  14 -> 18 [size =\"30777344\"]\n  14 -> 19 [size =\"30777344\"]\n  15 [size=\"84013056\", alpha=\"0.09\", expect_size=\"42006528\"] \n  15 -> 20 [size =\"42006528\"]\n  15 -> 21 [size =\"42006528\"]\n  15 -> 22 [size =\"42006528\"]\n  16 [size=\"69701632\", alpha=\"0.18\", expect_size=\"34850816\"] \n  16 -> 20 [size =\"34850816\"]\n  17 [size=\"28129280\", alpha=\"0.02\", expect_size=\"14064640\"] \n  17 -> 24 [size =\"14064640\"]\n  18 [size=\"16168960\", alpha=\"0.05\", expect_size=\"8084480\"] \n  18 -> 20 [size =\"8084480\"]\n  18 -> 21 [size =\"8084480\"]\n  18 -> 23 [size =\"8084480\"]\n  18 -> 24 [size =\"8084480\"]\n  19 [size=\"33875968\", alpha=\"0.09\", expect_size=\"16937984\"] \n  19 -> 22 [size =\"16937984\"]\n  19 -> 23 [size =\"16937984\"]\n  20 [size=\"28239872\", alpha=\"0.00\", expect_size=\"14119936\"] \n  21 [size=\"23691264\", alpha=\"0.09\", expect_size=\"11845632\"] \n  21 -> 26 [size =\"11845632\"]\n  21 -> 32 [size =\"11845632\"]\n  22 [size=\"50311168\", alpha=\"0.10\", expect_size=\"25155584\"] \n  22 -> 26 [size =\"25155584\"]\n  22 -> 29 [size =\"25155584\"]\n  22 -> 32 [size =\"25155584\"]\n  23 [size=\"44851200\", alpha=\"0.09\", expect_size=\"22425600\"] \n  23 -> 25 [size =\"22425600\"]\n  23 -> 28 [size =\"22425600\"]\n  23 -> 30 [size =\"22425600\"]\n  24 [size=\"29386752\", alpha=\"0.09\", expect_size=\"14693376\"] \n  24 -> 27 [size =\"14693376\"]\n  24 -> 28 [size =\"14693376\"]\n  24 -> 31 [size =\"14693376\"]\n  24 -> 32 [size =\"14693376\"]\n  25 [size=\"57065472\", alpha=\"0.13\", expect_size=\"28532736\"] \n  25 -> 36 [size =\"28532736\"]\n  26 [size=\"98590720\", alpha=\"0.15\", expect_size=\"49295360\"] \n  26 -> 35 [size =\"49295360\"]\n  26 -> 38 [size =\"49295360\"]\n  27 [size=\"88485888\", alpha=\"0.11\", expect_size=\"44242944\"] \n  27 -> 36 [size =\"44242944\"]\n  28 [size=\"100093952\", alpha=\"0.20\", expect_size=\"50046976\"] \n  28 -> 33 [size =\"50046976\"]\n  29 [size=\"30216192\", alpha=\"0.06\", expect_size=\"15108096\"] \n  29 -> 37 [size =\"15108096\"]\n  30 [size=\"72359936\", alpha=\"0.18\", expect_size=\"36179968\"] \n  30 -> 34 [size =\"36179968\"]\n  30 -> 37 [size =\"36179968\"]\n  30 -> 38 [size =\"36179968\"]\n  31 [size=\"74092544\", alpha=\"0.05\", expect_size=\"37046272\"] \n  31 -> 34 [size =\"37046272\"]\n  31 -> 36 [size =\"37046272\"]\n  31 -> 37 [size =\"37046272\"]\n  31 -> 38 [size =\"37046272\"]\n  32 [size=\"24459264\", alpha=\"0.16\", expect_size=\"12229632\"] \n  32 -> 36 [size =\"12229632\"]\n  32 -> 39 [size =\"12229632\"]\n  33 [size=\"73115648\", alpha=\"0.14\", expect_size=\"36557824\"] \n  33 -> 42 [size =\"36557824\"]\n  33 -> 43 [size =\"36557824\"]\n  34 [size=\"19677184\", alpha=\"0.02\", expect_size=\"9838592\"] \n  34 -> 44 [size =\"9838592\"]\n  34 -> 45 [size =\"9838592\"]\n  35 [size=\"61190144\", alpha=\"0.06\", expect_size=\"30595072\"] \n  35 -> 44 [size =\"30595072\"]\n  36 [size=\"27576320\", alpha=\"0.03\", expect_size=\"13788160\"] \n  36 -> 44 [size =\"13788160\"]\n  36 -> 45 [size =\"13788160\"]\n  37 [size=\"97386496\", alpha=\"0.04\", expect_size=\"48693248\"] \n  37 -> 40 [size =\"48693248\"]\n  37 -> 41 [size =\"48693248\"]\n  37 -> 43 [size =\"48693248\"]\n  37 -> 45 [size =\"48693248\"]\n  38 [size=\"52633600\", alpha=\"0.05\", expect_size=\"26316800\"] \n  38 -> 40 [size =\"26316800\"]\n  38 -> 43 [size =\"26316800\"]\n  38 -> 45 [size =\"26316800\"]\n  39 [size=\"52580352\", alpha=\"0.12\", expect_size=\"26290176\"] \n  39 -> 44 [size =\"26290176\"]\n  40 [size=\"79874048\", alpha=\"0.02\", expect_size=\"39937024\"] \n  40 -> 46 [size =\"39937024\"]\n  41 [size=\"72136704\", alpha=\"0.16\", expect_size=\"36068352\"] \n  41 -> 47 [size =\"36068352\"]\n  42 [size=\"94339072\", alpha=\"0.17\", expect_size=\"47169536\"] \n  42 -> 46 [size =\"47169536\"]\n  43 [size=\"74840064\", alpha=\"0.06\", expect_size=\"37420032\"] \n  43 -> 48 [size =\"37420032\"]\n  44 [size=\"44871680\", alpha=\"0.19\", expect_size=\"22435840\"] \n  44 -> 48 [size =\"22435840\"]\n  45 [size=\"55498752\", alpha=\"0.02\", expect_size=\"27749376\"] \n  45 -> 49 [size =\"27749376\"]\n  46 [size=\"85882880\", alpha=\"0.03\", expect_size=\"42941440\"] \n  47 [size=\"100866048\", alpha=\"0.01\", expect_size=\"50433024\"] \n  47 -> 50 [size =\"50433024\"]\n  48 [size=\"23721984\", alpha=\"0.18\", expect_size=\"11860992\"] \n  48 -> 50 [size =\"11860992\"]\n  49 [size=\"48877568\", alpha=\"0.20\", expect_size=\"24438784\"] \n  50 [size=\"10981376\", alpha=\"0.14\", expect_size=\"5490688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.143.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86627840\", alpha=\"0.12\", expect_size=\"34651136\"] \n  1 -> 20 [size =\"34651136\"]\n  1 -> 21 [size =\"34651136\"]\n  1 -> 22 [size =\"34651136\"]\n  1 -> 25 [size =\"34651136\"]\n  1 -> 26 [size =\"34651136\"]\n  2 [size=\"25446400\", alpha=\"0.01\", expect_size=\"10178560\"] \n  2 -> 21 [size =\"10178560\"]\n  2 -> 25 [size =\"10178560\"]\n  2 -> 27 [size =\"10178560\"]\n  3 [size=\"54727680\", alpha=\"0.08\", expect_size=\"21891072\"] \n  3 -> 21 [size =\"21891072\"]\n  3 -> 23 [size =\"21891072\"]\n  3 -> 25 [size =\"21891072\"]\n  3 -> 27 [size =\"21891072\"]\n  4 [size=\"44715520\", alpha=\"0.16\", expect_size=\"17886208\"] \n  4 -> 18 [size =\"17886208\"]\n  4 -> 21 [size =\"17886208\"]\n  4 -> 25 [size =\"17886208\"]\n  5 [size=\"44060160\", alpha=\"0.10\", expect_size=\"17624064\"] \n  5 -> 25 [size =\"17624064\"]\n  6 [size=\"105955840\", alpha=\"0.06\", expect_size=\"42382336\"] \n  6 -> 21 [size =\"42382336\"]\n  6 -> 24 [size =\"42382336\"]\n  6 -> 26 [size =\"42382336\"]\n  7 [size=\"20162560\", alpha=\"0.17\", expect_size=\"8065024\"] \n  7 -> 21 [size =\"8065024\"]\n  7 -> 23 [size =\"8065024\"]\n  8 [size=\"62712320\", alpha=\"0.12\", expect_size=\"25084928\"] \n  8 -> 21 [size =\"25084928\"]\n  8 -> 22 [size =\"25084928\"]\n  8 -> 23 [size =\"25084928\"]\n  8 -> 25 [size =\"25084928\"]\n  9 [size=\"122324480\", alpha=\"0.19\", expect_size=\"48929792\"] \n  9 -> 25 [size =\"48929792\"]\n  9 -> 27 [size =\"48929792\"]\n  10 [size=\"78120960\", alpha=\"0.03\", expect_size=\"31248384\"] \n  10 -> 21 [size =\"31248384\"]\n  10 -> 25 [size =\"31248384\"]\n  11 [size=\"41922560\", alpha=\"0.13\", expect_size=\"16769024\"] \n  11 -> 18 [size =\"16769024\"]\n  11 -> 20 [size =\"16769024\"]\n  11 -> 22 [size =\"16769024\"]\n  11 -> 25 [size =\"16769024\"]\n  12 [size=\"113848320\", alpha=\"0.12\", expect_size=\"45539328\"] \n  12 -> 17 [size =\"45539328\"]\n  12 -> 19 [size =\"45539328\"]\n  12 -> 20 [size =\"45539328\"]\n  12 -> 21 [size =\"45539328\"]\n  12 -> 22 [size =\"45539328\"]\n  12 -> 23 [size =\"45539328\"]\n  12 -> 27 [size =\"45539328\"]\n  13 [size=\"120540160\", alpha=\"0.20\", expect_size=\"48216064\"] \n  13 -> 17 [size =\"48216064\"]\n  13 -> 19 [size =\"48216064\"]\n  13 -> 25 [size =\"48216064\"]\n  13 -> 26 [size =\"48216064\"]\n  13 -> 27 [size =\"48216064\"]\n  14 [size=\"48888320\", alpha=\"0.01\", expect_size=\"19555328\"] \n  14 -> 17 [size =\"19555328\"]\n  14 -> 20 [size =\"19555328\"]\n  14 -> 21 [size =\"19555328\"]\n  14 -> 25 [size =\"19555328\"]\n  14 -> 27 [size =\"19555328\"]\n  15 [size=\"25405440\", alpha=\"0.16\", expect_size=\"10162176\"] \n  15 -> 19 [size =\"10162176\"]\n  15 -> 22 [size =\"10162176\"]\n  15 -> 25 [size =\"10162176\"]\n  15 -> 27 [size =\"10162176\"]\n  16 [size=\"82083840\", alpha=\"0.14\", expect_size=\"32833536\"] \n  16 -> 21 [size =\"32833536\"]\n  16 -> 22 [size =\"32833536\"]\n  16 -> 25 [size =\"32833536\"]\n  16 -> 26 [size =\"32833536\"]\n  16 -> 27 [size =\"32833536\"]\n  17 [size=\"119065600\", alpha=\"0.06\", expect_size=\"47626240\"] \n  17 -> 28 [size =\"47626240\"]\n  17 -> 29 [size =\"47626240\"]\n  17 -> 31 [size =\"47626240\"]\n  17 -> 32 [size =\"47626240\"]\n  17 -> 35 [size =\"47626240\"]\n  17 -> 36 [size =\"47626240\"]\n  17 -> 36 [size =\"47626240\"]\n  17 -> 38 [size =\"47626240\"]\n  17 -> 39 [size =\"47626240\"]\n  18 [size=\"102543360\", alpha=\"0.06\", expect_size=\"41017344\"] \n  18 -> 28 [size =\"41017344\"]\n  18 -> 29 [size =\"41017344\"]\n  18 -> 30 [size =\"41017344\"]\n  18 -> 32 [size =\"41017344\"]\n  18 -> 34 [size =\"41017344\"]\n  18 -> 35 [size =\"41017344\"]\n  18 -> 39 [size =\"41017344\"]\n  19 [size=\"54359040\", alpha=\"0.16\", expect_size=\"21743616\"] \n  19 -> 28 [size =\"21743616\"]\n  19 -> 30 [size =\"21743616\"]\n  19 -> 31 [size =\"21743616\"]\n  19 -> 32 [size =\"21743616\"]\n  19 -> 33 [size =\"21743616\"]\n  19 -> 34 [size =\"21743616\"]\n  19 -> 36 [size =\"21743616\"]\n  19 -> 37 [size =\"21743616\"]\n  19 -> 39 [size =\"21743616\"]\n  20 [size=\"46341120\", alpha=\"0.09\", expect_size=\"18536448\"] \n  20 -> 28 [size =\"18536448\"]\n  20 -> 29 [size =\"18536448\"]\n  20 -> 30 [size =\"18536448\"]\n  20 -> 32 [size =\"18536448\"]\n  20 -> 37 [size =\"18536448\"]\n  20 -> 39 [size =\"18536448\"]\n  21 [size=\"66176000\", alpha=\"0.14\", expect_size=\"26470400\"] \n  21 -> 28 [size =\"26470400\"]\n  21 -> 29 [size =\"26470400\"]\n  21 -> 30 [size =\"26470400\"]\n  21 -> 37 [size =\"26470400\"]\n  21 -> 39 [size =\"26470400\"]\n  21 -> 39 [size =\"26470400\"]\n  22 [size=\"23160320\", alpha=\"0.02\", expect_size=\"9264128\"] \n  22 -> 28 [size =\"9264128\"]\n  22 -> 29 [size =\"9264128\"]\n  22 -> 30 [size =\"9264128\"]\n  22 -> 33 [size =\"9264128\"]\n  22 -> 36 [size =\"9264128\"]\n  22 -> 37 [size =\"9264128\"]\n  23 [size=\"93826560\", alpha=\"0.17\", expect_size=\"37530624\"] \n  23 -> 28 [size =\"37530624\"]\n  23 -> 29 [size =\"37530624\"]\n  23 -> 30 [size =\"37530624\"]\n  23 -> 33 [size =\"37530624\"]\n  23 -> 35 [size =\"37530624\"]\n  23 -> 36 [size =\"37530624\"]\n  23 -> 37 [size =\"37530624\"]\n  24 [size=\"91363840\", alpha=\"0.17\", expect_size=\"36545536\"] \n  24 -> 29 [size =\"36545536\"]\n  24 -> 29 [size =\"36545536\"]\n  24 -> 30 [size =\"36545536\"]\n  24 -> 33 [size =\"36545536\"]\n  24 -> 35 [size =\"36545536\"]\n  24 -> 37 [size =\"36545536\"]\n  24 -> 39 [size =\"36545536\"]\n  25 [size=\"98081280\", alpha=\"0.02\", expect_size=\"39232512\"] \n  25 -> 29 [size =\"39232512\"]\n  25 -> 30 [size =\"39232512\"]\n  25 -> 34 [size =\"39232512\"]\n  25 -> 35 [size =\"39232512\"]\n  25 -> 36 [size =\"39232512\"]\n  25 -> 37 [size =\"39232512\"]\n  25 -> 39 [size =\"39232512\"]\n  26 [size=\"74634240\", alpha=\"0.03\", expect_size=\"29853696\"] \n  26 -> 28 [size =\"29853696\"]\n  26 -> 29 [size =\"29853696\"]\n  26 -> 30 [size =\"29853696\"]\n  26 -> 33 [size =\"29853696\"]\n  26 -> 34 [size =\"29853696\"]\n  26 -> 35 [size =\"29853696\"]\n  26 -> 37 [size =\"29853696\"]\n  26 -> 39 [size =\"29853696\"]\n  27 [size=\"38123520\", alpha=\"0.05\", expect_size=\"15249408\"] \n  27 -> 30 [size =\"15249408\"]\n  27 -> 31 [size =\"15249408\"]\n  27 -> 32 [size =\"15249408\"]\n  27 -> 34 [size =\"15249408\"]\n  27 -> 35 [size =\"15249408\"]\n  27 -> 35 [size =\"15249408\"]\n  27 -> 36 [size =\"15249408\"]\n  27 -> 39 [size =\"15249408\"]\n  28 [size=\"72207360\", alpha=\"0.16\", expect_size=\"28882944\"] \n  28 -> 44 [size =\"28882944\"]\n  28 -> 45 [size =\"28882944\"]\n  28 -> 46 [size =\"28882944\"]\n  28 -> 47 [size =\"28882944\"]\n  28 -> 48 [size =\"28882944\"]\n  28 -> 49 [size =\"28882944\"]\n  28 -> 50 [size =\"28882944\"]\n  29 [size=\"104913920\", alpha=\"0.05\", expect_size=\"41965568\"] \n  29 -> 41 [size =\"41965568\"]\n  29 -> 43 [size =\"41965568\"]\n  29 -> 44 [size =\"41965568\"]\n  29 -> 46 [size =\"41965568\"]\n  29 -> 47 [size =\"41965568\"]\n  29 -> 50 [size =\"41965568\"]\n  30 [size=\"80064000\", alpha=\"0.06\", expect_size=\"32025600\"] \n  30 -> 41 [size =\"32025600\"]\n  30 -> 43 [size =\"32025600\"]\n  30 -> 44 [size =\"32025600\"]\n  30 -> 45 [size =\"32025600\"]\n  30 -> 46 [size =\"32025600\"]\n  30 -> 47 [size =\"32025600\"]\n  30 -> 50 [size =\"32025600\"]\n  31 [size=\"14484480\", alpha=\"0.11\", expect_size=\"5793792\"] \n  31 -> 41 [size =\"5793792\"]\n  31 -> 43 [size =\"5793792\"]\n  31 -> 44 [size =\"5793792\"]\n  31 -> 46 [size =\"5793792\"]\n  31 -> 47 [size =\"5793792\"]\n  32 [size=\"99660800\", alpha=\"0.13\", expect_size=\"39864320\"] \n  32 -> 41 [size =\"39864320\"]\n  32 -> 42 [size =\"39864320\"]\n  32 -> 43 [size =\"39864320\"]\n  32 -> 44 [size =\"39864320\"]\n  33 [size=\"112000000\", alpha=\"0.13\", expect_size=\"44800000\"] \n  33 -> 41 [size =\"44800000\"]\n  33 -> 43 [size =\"44800000\"]\n  33 -> 44 [size =\"44800000\"]\n  33 -> 45 [size =\"44800000\"]\n  33 -> 47 [size =\"44800000\"]\n  33 -> 50 [size =\"44800000\"]\n  34 [size=\"93130240\", alpha=\"0.20\", expect_size=\"37252096\"] \n  34 -> 41 [size =\"37252096\"]\n  34 -> 43 [size =\"37252096\"]\n  34 -> 45 [size =\"37252096\"]\n  35 [size=\"74659840\", alpha=\"0.08\", expect_size=\"29863936\"] \n  35 -> 41 [size =\"29863936\"]\n  35 -> 43 [size =\"29863936\"]\n  35 -> 44 [size =\"29863936\"]\n  35 -> 45 [size =\"29863936\"]\n  35 -> 46 [size =\"29863936\"]\n  35 -> 47 [size =\"29863936\"]\n  35 -> 49 [size =\"29863936\"]\n  36 [size=\"87541760\", alpha=\"0.08\", expect_size=\"35016704\"] \n  36 -> 43 [size =\"35016704\"]\n  36 -> 44 [size =\"35016704\"]\n  36 -> 45 [size =\"35016704\"]\n  36 -> 46 [size =\"35016704\"]\n  36 -> 46 [size =\"35016704\"]\n  36 -> 47 [size =\"35016704\"]\n  37 [size=\"106662400\", alpha=\"0.07\", expect_size=\"42664960\"] \n  37 -> 40 [size =\"42664960\"]\n  37 -> 41 [size =\"42664960\"]\n  37 -> 43 [size =\"42664960\"]\n  37 -> 45 [size =\"42664960\"]\n  37 -> 46 [size =\"42664960\"]\n  37 -> 47 [size =\"42664960\"]\n  37 -> 50 [size =\"42664960\"]\n  38 [size=\"21112320\", alpha=\"0.20\", expect_size=\"8444928\"] \n  38 -> 41 [size =\"8444928\"]\n  38 -> 41 [size =\"8444928\"]\n  38 -> 45 [size =\"8444928\"]\n  38 -> 47 [size =\"8444928\"]\n  38 -> 50 [size =\"8444928\"]\n  39 [size=\"116431360\", alpha=\"0.00\", expect_size=\"46572544\"] \n  39 -> 45 [size =\"46572544\"]\n  39 -> 46 [size =\"46572544\"]\n  39 -> 47 [size =\"46572544\"]\n  39 -> 47 [size =\"46572544\"]\n  39 -> 49 [size =\"46572544\"]\n  39 -> 50 [size =\"46572544\"]\n  40 [size=\"29977600\", alpha=\"0.06\", expect_size=\"11991040\"] \n  41 [size=\"62691840\", alpha=\"0.01\", expect_size=\"25076736\"] \n  42 [size=\"125427200\", alpha=\"0.18\", expect_size=\"50170880\"] \n  43 [size=\"82995200\", alpha=\"0.08\", expect_size=\"33198080\"] \n  44 [size=\"42831360\", alpha=\"0.12\", expect_size=\"17132544\"] \n  45 [size=\"40719360\", alpha=\"0.10\", expect_size=\"16287744\"] \n  46 [size=\"88954880\", alpha=\"0.19\", expect_size=\"35581952\"] \n  47 [size=\"20590080\", alpha=\"0.11\", expect_size=\"8236032\"] \n  48 [size=\"59550720\", alpha=\"0.14\", expect_size=\"23820288\"] \n  49 [size=\"59343360\", alpha=\"0.12\", expect_size=\"23737344\"] \n  50 [size=\"61222400\", alpha=\"0.02\", expect_size=\"24488960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.144.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13299712\", alpha=\"0.09\", expect_size=\"6649856\"] \n  1 -> 5 [size =\"6649856\"]\n  2 [size=\"42151936\", alpha=\"0.18\", expect_size=\"21075968\"] \n  2 -> 4 [size =\"21075968\"]\n  3 [size=\"95584256\", alpha=\"0.12\", expect_size=\"47792128\"] \n  3 -> 5 [size =\"47792128\"]\n  3 -> 6 [size =\"47792128\"]\n  4 [size=\"22980608\", alpha=\"0.09\", expect_size=\"11490304\"] \n  4 -> 8 [size =\"11490304\"]\n  5 [size=\"19902464\", alpha=\"0.16\", expect_size=\"9951232\"] \n  5 -> 8 [size =\"9951232\"]\n  6 [size=\"18933760\", alpha=\"0.02\", expect_size=\"9466880\"] \n  6 -> 7 [size =\"9466880\"]\n  7 [size=\"37138432\", alpha=\"0.07\", expect_size=\"18569216\"] \n  7 -> 9 [size =\"18569216\"]\n  8 [size=\"72042496\", alpha=\"0.11\", expect_size=\"36021248\"] \n  8 -> 9 [size =\"36021248\"]\n  8 -> 10 [size =\"36021248\"]\n  9 [size=\"59719680\", alpha=\"0.05\", expect_size=\"29859840\"] \n  9 -> 12 [size =\"29859840\"]\n  9 -> 13 [size =\"29859840\"]\n  10 [size=\"71362560\", alpha=\"0.12\", expect_size=\"35681280\"] \n  10 -> 11 [size =\"35681280\"]\n  10 -> 12 [size =\"35681280\"]\n  10 -> 13 [size =\"35681280\"]\n  11 [size=\"34408448\", alpha=\"0.01\", expect_size=\"17204224\"] \n  11 -> 14 [size =\"17204224\"]\n  12 [size=\"78100480\", alpha=\"0.17\", expect_size=\"39050240\"] \n  12 -> 15 [size =\"39050240\"]\n  12 -> 16 [size =\"39050240\"]\n  13 [size=\"66453504\", alpha=\"0.17\", expect_size=\"33226752\"] \n  14 [size=\"29487104\", alpha=\"0.10\", expect_size=\"14743552\"] \n  15 [size=\"71974912\", alpha=\"0.10\", expect_size=\"35987456\"] \n  15 -> 17 [size =\"35987456\"]\n  15 -> 18 [size =\"35987456\"]\n  16 [size=\"51539968\", alpha=\"0.08\", expect_size=\"25769984\"] \n  16 -> 17 [size =\"25769984\"]\n  16 -> 18 [size =\"25769984\"]\n  17 [size=\"62402560\", alpha=\"0.18\", expect_size=\"31201280\"] \n  17 -> 19 [size =\"31201280\"]\n  17 -> 20 [size =\"31201280\"]\n  18 [size=\"94588928\", alpha=\"0.02\", expect_size=\"47294464\"] \n  18 -> 19 [size =\"47294464\"]\n  18 -> 20 [size =\"47294464\"]\n  19 [size=\"50802688\", alpha=\"0.07\", expect_size=\"25401344\"] \n  19 -> 22 [size =\"25401344\"]\n  20 [size=\"74954752\", alpha=\"0.07\", expect_size=\"37477376\"] \n  20 -> 21 [size =\"37477376\"]\n  20 -> 22 [size =\"37477376\"]\n  20 -> 23 [size =\"37477376\"]\n  21 [size=\"39323648\", alpha=\"0.08\", expect_size=\"19661824\"] \n  21 -> 24 [size =\"19661824\"]\n  22 [size=\"43454464\", alpha=\"0.15\", expect_size=\"21727232\"] \n  22 -> 25 [size =\"21727232\"]\n  23 [size=\"30431232\", alpha=\"0.01\", expect_size=\"15215616\"] \n  24 [size=\"15626240\", alpha=\"0.09\", expect_size=\"7813120\"] \n  24 -> 27 [size =\"7813120\"]\n  25 [size=\"63289344\", alpha=\"0.19\", expect_size=\"31644672\"] \n  25 -> 26 [size =\"31644672\"]\n  26 [size=\"16801792\", alpha=\"0.11\", expect_size=\"8400896\"] \n  26 -> 28 [size =\"8400896\"]\n  26 -> 29 [size =\"8400896\"]\n  26 -> 30 [size =\"8400896\"]\n  27 [size=\"56178688\", alpha=\"0.09\", expect_size=\"28089344\"] \n  27 -> 28 [size =\"28089344\"]\n  27 -> 29 [size =\"28089344\"]\n  28 [size=\"46745600\", alpha=\"0.20\", expect_size=\"23372800\"] \n  28 -> 31 [size =\"23372800\"]\n  29 [size=\"54724608\", alpha=\"0.01\", expect_size=\"27362304\"] \n  29 -> 32 [size =\"27362304\"]\n  30 [size=\"85616640\", alpha=\"0.15\", expect_size=\"42808320\"] \n  31 [size=\"23293952\", alpha=\"0.14\", expect_size=\"11646976\"] \n  31 -> 33 [size =\"11646976\"]\n  31 -> 34 [size =\"11646976\"]\n  31 -> 35 [size =\"11646976\"]\n  32 [size=\"59314176\", alpha=\"0.07\", expect_size=\"29657088\"] \n  32 -> 35 [size =\"29657088\"]\n  33 [size=\"36601856\", alpha=\"0.13\", expect_size=\"18300928\"] \n  34 [size=\"40255488\", alpha=\"0.02\", expect_size=\"20127744\"] \n  34 -> 36 [size =\"20127744\"]\n  34 -> 37 [size =\"20127744\"]\n  35 [size=\"82771968\", alpha=\"0.04\", expect_size=\"41385984\"] \n  35 -> 36 [size =\"41385984\"]\n  35 -> 37 [size =\"41385984\"]\n  36 [size=\"79196160\", alpha=\"0.16\", expect_size=\"39598080\"] \n  36 -> 38 [size =\"39598080\"]\n  36 -> 39 [size =\"39598080\"]\n  37 [size=\"37978112\", alpha=\"0.18\", expect_size=\"18989056\"] \n  37 -> 38 [size =\"18989056\"]\n  37 -> 39 [size =\"18989056\"]\n  37 -> 40 [size =\"18989056\"]\n  38 [size=\"80144384\", alpha=\"0.18\", expect_size=\"40072192\"] \n  39 [size=\"78508032\", alpha=\"0.06\", expect_size=\"39254016\"] \n  39 -> 41 [size =\"39254016\"]\n  39 -> 42 [size =\"39254016\"]\n  40 [size=\"82302976\", alpha=\"0.08\", expect_size=\"41151488\"] \n  40 -> 41 [size =\"41151488\"]\n  41 [size=\"58038272\", alpha=\"0.16\", expect_size=\"29019136\"] \n  41 -> 43 [size =\"29019136\"]\n  41 -> 44 [size =\"29019136\"]\n  41 -> 45 [size =\"29019136\"]\n  42 [size=\"29632512\", alpha=\"0.11\", expect_size=\"14816256\"] \n  42 -> 43 [size =\"14816256\"]\n  42 -> 44 [size =\"14816256\"]\n  42 -> 45 [size =\"14816256\"]\n  43 [size=\"64706560\", alpha=\"0.11\", expect_size=\"32353280\"] \n  44 [size=\"30482432\", alpha=\"0.11\", expect_size=\"15241216\"] \n  44 -> 46 [size =\"15241216\"]\n  44 -> 47 [size =\"15241216\"]\n  45 [size=\"40335360\", alpha=\"0.03\", expect_size=\"20167680\"] \n  45 -> 46 [size =\"20167680\"]\n  46 [size=\"61384704\", alpha=\"0.16\", expect_size=\"30692352\"] \n  46 -> 48 [size =\"30692352\"]\n  46 -> 49 [size =\"30692352\"]\n  46 -> 50 [size =\"30692352\"]\n  47 [size=\"40312832\", alpha=\"0.19\", expect_size=\"20156416\"] \n  47 -> 48 [size =\"20156416\"]\n  47 -> 49 [size =\"20156416\"]\n  47 -> 50 [size =\"20156416\"]\n  48 [size=\"29038592\", alpha=\"0.09\", expect_size=\"14519296\"] \n  49 [size=\"17293312\", alpha=\"0.09\", expect_size=\"8646656\"] \n  50 [size=\"45398016\", alpha=\"0.05\", expect_size=\"22699008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.145.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93452800\", alpha=\"0.18\", expect_size=\"37381120\"] \n  1 -> 7 [size =\"37381120\"]\n  1 -> 8 [size =\"37381120\"]\n  1 -> 12 [size =\"37381120\"]\n  1 -> 13 [size =\"37381120\"]\n  2 [size=\"15723520\", alpha=\"0.19\", expect_size=\"6289408\"] \n  2 -> 8 [size =\"6289408\"]\n  2 -> 11 [size =\"6289408\"]\n  2 -> 12 [size =\"6289408\"]\n  3 [size=\"76526080\", alpha=\"0.10\", expect_size=\"30610432\"] \n  4 [size=\"106700800\", alpha=\"0.19\", expect_size=\"42680320\"] \n  4 -> 7 [size =\"42680320\"]\n  4 -> 8 [size =\"42680320\"]\n  4 -> 9 [size =\"42680320\"]\n  5 [size=\"33059840\", alpha=\"0.07\", expect_size=\"13223936\"] \n  5 -> 9 [size =\"13223936\"]\n  5 -> 10 [size =\"13223936\"]\n  6 [size=\"80512000\", alpha=\"0.07\", expect_size=\"32204800\"] \n  6 -> 8 [size =\"32204800\"]\n  6 -> 10 [size =\"32204800\"]\n  6 -> 12 [size =\"32204800\"]\n  7 [size=\"109089280\", alpha=\"0.06\", expect_size=\"43635712\"] \n  7 -> 16 [size =\"43635712\"]\n  7 -> 18 [size =\"43635712\"]\n  8 [size=\"42711040\", alpha=\"0.07\", expect_size=\"17084416\"] \n  9 [size=\"18142720\", alpha=\"0.06\", expect_size=\"7257088\"] \n  9 -> 14 [size =\"7257088\"]\n  9 -> 17 [size =\"7257088\"]\n  9 -> 18 [size =\"7257088\"]\n  9 -> 19 [size =\"7257088\"]\n  10 [size=\"60088320\", alpha=\"0.07\", expect_size=\"24035328\"] \n  10 -> 15 [size =\"24035328\"]\n  11 [size=\"34168320\", alpha=\"0.05\", expect_size=\"13667328\"] \n  11 -> 14 [size =\"13667328\"]\n  11 -> 15 [size =\"13667328\"]\n  11 -> 17 [size =\"13667328\"]\n  11 -> 18 [size =\"13667328\"]\n  11 -> 20 [size =\"13667328\"]\n  12 [size=\"20664320\", alpha=\"0.15\", expect_size=\"8265728\"] \n  12 -> 20 [size =\"8265728\"]\n  13 [size=\"17006080\", alpha=\"0.08\", expect_size=\"6802432\"] \n  13 -> 14 [size =\"6802432\"]\n  13 -> 15 [size =\"6802432\"]\n  13 -> 17 [size =\"6802432\"]\n  13 -> 19 [size =\"6802432\"]\n  13 -> 20 [size =\"6802432\"]\n  14 [size=\"73840640\", alpha=\"0.03\", expect_size=\"29536256\"] \n  14 -> 22 [size =\"29536256\"]\n  14 -> 24 [size =\"29536256\"]\n  14 -> 26 [size =\"29536256\"]\n  15 [size=\"65144320\", alpha=\"0.03\", expect_size=\"26057728\"] \n  15 -> 24 [size =\"26057728\"]\n  16 [size=\"107801600\", alpha=\"0.08\", expect_size=\"43120640\"] \n  16 -> 24 [size =\"43120640\"]\n  17 [size=\"28377600\", alpha=\"0.06\", expect_size=\"11351040\"] \n  17 -> 22 [size =\"11351040\"]\n  17 -> 25 [size =\"11351040\"]\n  18 [size=\"61772800\", alpha=\"0.03\", expect_size=\"24709120\"] \n  18 -> 21 [size =\"24709120\"]\n  18 -> 22 [size =\"24709120\"]\n  18 -> 23 [size =\"24709120\"]\n  18 -> 24 [size =\"24709120\"]\n  19 [size=\"101834240\", alpha=\"0.20\", expect_size=\"40733696\"] \n  19 -> 21 [size =\"40733696\"]\n  19 -> 22 [size =\"40733696\"]\n  20 [size=\"20492800\", alpha=\"0.13\", expect_size=\"8197120\"] \n  20 -> 24 [size =\"8197120\"]\n  20 -> 26 [size =\"8197120\"]\n  20 -> 27 [size =\"8197120\"]\n  21 [size=\"63078400\", alpha=\"0.00\", expect_size=\"25231360\"] \n  21 -> 29 [size =\"25231360\"]\n  21 -> 32 [size =\"25231360\"]\n  21 -> 33 [size =\"25231360\"]\n  22 [size=\"92874240\", alpha=\"0.08\", expect_size=\"37149696\"] \n  22 -> 30 [size =\"37149696\"]\n  22 -> 31 [size =\"37149696\"]\n  22 -> 32 [size =\"37149696\"]\n  23 [size=\"62888960\", alpha=\"0.06\", expect_size=\"25155584\"] \n  24 [size=\"107686400\", alpha=\"0.00\", expect_size=\"43074560\"] \n  24 -> 28 [size =\"43074560\"]\n  24 -> 32 [size =\"43074560\"]\n  25 [size=\"122624000\", alpha=\"0.18\", expect_size=\"49049600\"] \n  25 -> 29 [size =\"49049600\"]\n  25 -> 33 [size =\"49049600\"]\n  26 [size=\"22282240\", alpha=\"0.07\", expect_size=\"8912896\"] \n  26 -> 33 [size =\"8912896\"]\n  26 -> 33 [size =\"8912896\"]\n  27 [size=\"71646720\", alpha=\"0.12\", expect_size=\"28658688\"] \n  28 [size=\"104775680\", alpha=\"0.02\", expect_size=\"41910272\"] \n  28 -> 38 [size =\"41910272\"]\n  28 -> 39 [size =\"41910272\"]\n  28 -> 40 [size =\"41910272\"]\n  29 [size=\"124049920\", alpha=\"0.13\", expect_size=\"49619968\"] \n  29 -> 36 [size =\"49619968\"]\n  29 -> 40 [size =\"49619968\"]\n  30 [size=\"122813440\", alpha=\"0.12\", expect_size=\"49125376\"] \n  30 -> 35 [size =\"49125376\"]\n  30 -> 36 [size =\"49125376\"]\n  31 [size=\"82987520\", alpha=\"0.15\", expect_size=\"33195008\"] \n  31 -> 35 [size =\"33195008\"]\n  31 -> 36 [size =\"33195008\"]\n  31 -> 39 [size =\"33195008\"]\n  32 [size=\"84922880\", alpha=\"0.19\", expect_size=\"33969152\"] \n  32 -> 35 [size =\"33969152\"]\n  32 -> 36 [size =\"33969152\"]\n  32 -> 37 [size =\"33969152\"]\n  33 [size=\"13265920\", alpha=\"0.04\", expect_size=\"5306368\"] \n  33 -> 34 [size =\"5306368\"]\n  33 -> 35 [size =\"5306368\"]\n  33 -> 39 [size =\"5306368\"]\n  34 [size=\"49408000\", alpha=\"0.18\", expect_size=\"19763200\"] \n  34 -> 43 [size =\"19763200\"]\n  35 [size=\"51013120\", alpha=\"0.02\", expect_size=\"20405248\"] \n  35 -> 43 [size =\"20405248\"]\n  35 -> 44 [size =\"20405248\"]\n  35 -> 46 [size =\"20405248\"]\n  36 [size=\"38036480\", alpha=\"0.02\", expect_size=\"15214592\"] \n  36 -> 41 [size =\"15214592\"]\n  36 -> 42 [size =\"15214592\"]\n  37 [size=\"77882880\", alpha=\"0.04\", expect_size=\"31153152\"] \n  37 -> 46 [size =\"31153152\"]\n  38 [size=\"30607360\", alpha=\"0.15\", expect_size=\"12242944\"] \n  38 -> 41 [size =\"12242944\"]\n  38 -> 43 [size =\"12242944\"]\n  38 -> 45 [size =\"12242944\"]\n  39 [size=\"43781120\", alpha=\"0.00\", expect_size=\"17512448\"] \n  39 -> 43 [size =\"17512448\"]\n  39 -> 44 [size =\"17512448\"]\n  39 -> 45 [size =\"17512448\"]\n  39 -> 46 [size =\"17512448\"]\n  40 [size=\"122442240\", alpha=\"0.07\", expect_size=\"48976896\"] \n  40 -> 41 [size =\"48976896\"]\n  40 -> 44 [size =\"48976896\"]\n  40 -> 45 [size =\"48976896\"]\n  40 -> 46 [size =\"48976896\"]\n  41 [size=\"77644800\", alpha=\"0.03\", expect_size=\"31057920\"] \n  41 -> 49 [size =\"31057920\"]\n  41 -> 50 [size =\"31057920\"]\n  42 [size=\"48414720\", alpha=\"0.12\", expect_size=\"19365888\"] \n  42 -> 49 [size =\"19365888\"]\n  43 [size=\"42309120\", alpha=\"0.09\", expect_size=\"16923648\"] \n  43 -> 47 [size =\"16923648\"]\n  43 -> 48 [size =\"16923648\"]\n  43 -> 49 [size =\"16923648\"]\n  43 -> 50 [size =\"16923648\"]\n  44 [size=\"63232000\", alpha=\"0.02\", expect_size=\"25292800\"] \n  44 -> 47 [size =\"25292800\"]\n  45 [size=\"53946880\", alpha=\"0.14\", expect_size=\"21578752\"] \n  45 -> 49 [size =\"21578752\"]\n  45 -> 50 [size =\"21578752\"]\n  46 [size=\"66496000\", alpha=\"0.08\", expect_size=\"26598400\"] \n  46 -> 47 [size =\"26598400\"]\n  46 -> 48 [size =\"26598400\"]\n  46 -> 50 [size =\"26598400\"]\n  47 [size=\"77608960\", alpha=\"0.11\", expect_size=\"31043584\"] \n  48 [size=\"102558720\", alpha=\"0.10\", expect_size=\"41023488\"] \n  49 [size=\"72046080\", alpha=\"0.08\", expect_size=\"28818432\"] \n  50 [size=\"74800640\", alpha=\"0.04\", expect_size=\"29920256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.146.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36345173\", alpha=\"0.05\", expect_size=\"10903552\"] \n  1 -> 2 [size =\"10903552\"]\n  2 [size=\"77134507\", alpha=\"0.19\", expect_size=\"23140352\"] \n  2 -> 3 [size =\"23140352\"]\n  3 [size=\"41833813\", alpha=\"0.14\", expect_size=\"12550144\"] \n  3 -> 4 [size =\"12550144\"]\n  4 [size=\"34918400\", alpha=\"0.15\", expect_size=\"10475520\"] \n  4 -> 5 [size =\"10475520\"]\n  5 [size=\"70502400\", alpha=\"0.18\", expect_size=\"21150720\"] \n  5 -> 6 [size =\"21150720\"]\n  6 [size=\"44311893\", alpha=\"0.17\", expect_size=\"13293568\"] \n  6 -> 7 [size =\"13293568\"]\n  7 [size=\"138898773\", alpha=\"0.11\", expect_size=\"41669632\"] \n  7 -> 8 [size =\"41669632\"]\n  8 [size=\"84855467\", alpha=\"0.12\", expect_size=\"25456640\"] \n  8 -> 9 [size =\"25456640\"]\n  9 [size=\"76209493\", alpha=\"0.13\", expect_size=\"22862848\"] \n  9 -> 10 [size =\"22862848\"]\n  10 [size=\"74543787\", alpha=\"0.00\", expect_size=\"22363136\"] \n  10 -> 11 [size =\"22363136\"]\n  11 [size=\"170806613\", alpha=\"0.04\", expect_size=\"51241984\"] \n  11 -> 12 [size =\"51241984\"]\n  12 [size=\"49739093\", alpha=\"0.13\", expect_size=\"14921728\"] \n  12 -> 13 [size =\"14921728\"]\n  13 [size=\"40768853\", alpha=\"0.17\", expect_size=\"12230656\"] \n  13 -> 14 [size =\"12230656\"]\n  14 [size=\"147343360\", alpha=\"0.18\", expect_size=\"44203008\"] \n  14 -> 15 [size =\"44203008\"]\n  15 [size=\"111117653\", alpha=\"0.09\", expect_size=\"33335296\"] \n  15 -> 16 [size =\"33335296\"]\n  16 [size=\"96372053\", alpha=\"0.04\", expect_size=\"28911616\"] \n  16 -> 17 [size =\"28911616\"]\n  17 [size=\"69027840\", alpha=\"0.10\", expect_size=\"20708352\"] \n  17 -> 18 [size =\"20708352\"]\n  18 [size=\"152739840\", alpha=\"0.06\", expect_size=\"45821952\"] \n  18 -> 19 [size =\"45821952\"]\n  19 [size=\"86289067\", alpha=\"0.12\", expect_size=\"25886720\"] \n  19 -> 20 [size =\"25886720\"]\n  20 [size=\"29020160\", alpha=\"0.16\", expect_size=\"8706048\"] \n  20 -> 21 [size =\"8706048\"]\n  21 [size=\"30180693\", alpha=\"0.02\", expect_size=\"9054208\"] \n  21 -> 22 [size =\"9054208\"]\n  22 [size=\"58900480\", alpha=\"0.16\", expect_size=\"17670144\"] \n  22 -> 23 [size =\"17670144\"]\n  23 [size=\"162699947\", alpha=\"0.13\", expect_size=\"48809984\"] \n  23 -> 24 [size =\"48809984\"]\n  24 [size=\"140247040\", alpha=\"0.12\", expect_size=\"42074112\"] \n  24 -> 25 [size =\"42074112\"]\n  25 [size=\"127382187\", alpha=\"0.18\", expect_size=\"38214656\"] \n  25 -> 26 [size =\"38214656\"]\n  26 [size=\"42192213\", alpha=\"0.07\", expect_size=\"12657664\"] \n  26 -> 27 [size =\"12657664\"]\n  27 [size=\"73489067\", alpha=\"0.11\", expect_size=\"22046720\"] \n  27 -> 28 [size =\"22046720\"]\n  28 [size=\"153258667\", alpha=\"0.05\", expect_size=\"45977600\"] \n  28 -> 29 [size =\"45977600\"]\n  29 [size=\"40622080\", alpha=\"0.05\", expect_size=\"12186624\"] \n  29 -> 30 [size =\"12186624\"]\n  30 [size=\"134563840\", alpha=\"0.13\", expect_size=\"40369152\"] \n  30 -> 31 [size =\"40369152\"]\n  31 [size=\"101068800\", alpha=\"0.01\", expect_size=\"30320640\"] \n  31 -> 32 [size =\"30320640\"]\n  32 [size=\"116299093\", alpha=\"0.13\", expect_size=\"34889728\"] \n  32 -> 33 [size =\"34889728\"]\n  33 [size=\"82626560\", alpha=\"0.07\", expect_size=\"24787968\"] \n  33 -> 34 [size =\"24787968\"]\n  34 [size=\"24412160\", alpha=\"0.18\", expect_size=\"7323648\"] \n  34 -> 35 [size =\"7323648\"]\n  35 [size=\"116384427\", alpha=\"0.01\", expect_size=\"34915328\"] \n  35 -> 36 [size =\"34915328\"]\n  36 [size=\"97000107\", alpha=\"0.14\", expect_size=\"29100032\"] \n  36 -> 37 [size =\"29100032\"]\n  37 [size=\"150377813\", alpha=\"0.14\", expect_size=\"45113344\"] \n  37 -> 38 [size =\"45113344\"]\n  38 [size=\"83374080\", alpha=\"0.10\", expect_size=\"25012224\"] \n  38 -> 39 [size =\"25012224\"]\n  39 [size=\"120654507\", alpha=\"0.16\", expect_size=\"36196352\"] \n  39 -> 40 [size =\"36196352\"]\n  40 [size=\"163665920\", alpha=\"0.03\", expect_size=\"49099776\"] \n  40 -> 41 [size =\"49099776\"]\n  41 [size=\"112192853\", alpha=\"0.11\", expect_size=\"33657856\"] \n  41 -> 42 [size =\"33657856\"]\n  42 [size=\"119569067\", alpha=\"0.05\", expect_size=\"35870720\"] \n  42 -> 43 [size =\"35870720\"]\n  43 [size=\"60770987\", alpha=\"0.18\", expect_size=\"18231296\"] \n  43 -> 44 [size =\"18231296\"]\n  44 [size=\"116384427\", alpha=\"0.06\", expect_size=\"34915328\"] \n  44 -> 45 [size =\"34915328\"]\n  45 [size=\"101700267\", alpha=\"0.08\", expect_size=\"30510080\"] \n  45 -> 46 [size =\"30510080\"]\n  46 [size=\"110359893\", alpha=\"0.13\", expect_size=\"33107968\"] \n  46 -> 47 [size =\"33107968\"]\n  47 [size=\"63979520\", alpha=\"0.05\", expect_size=\"19193856\"] \n  47 -> 48 [size =\"19193856\"]\n  48 [size=\"171397120\", alpha=\"0.14\", expect_size=\"51419136\"] \n  48 -> 49 [size =\"51419136\"]\n  49 [size=\"96017067\", alpha=\"0.07\", expect_size=\"28805120\"] \n  49 -> 50 [size =\"28805120\"]\n  50 [size=\"63938560\", alpha=\"0.14\", expect_size=\"19181568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.147.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90301440\", alpha=\"0.02\", expect_size=\"36120576\"] \n  1 -> 33 [size =\"36120576\"]\n  1 -> 37 [size =\"36120576\"]\n  1 -> 38 [size =\"36120576\"]\n  1 -> 39 [size =\"36120576\"]\n  1 -> 45 [size =\"36120576\"]\n  1 -> 49 [size =\"36120576\"]\n  2 [size=\"99258880\", alpha=\"0.09\", expect_size=\"39703552\"] \n  2 -> 33 [size =\"39703552\"]\n  2 -> 34 [size =\"39703552\"]\n  2 -> 37 [size =\"39703552\"]\n  2 -> 38 [size =\"39703552\"]\n  2 -> 45 [size =\"39703552\"]\n  2 -> 47 [size =\"39703552\"]\n  3 [size=\"60689920\", alpha=\"0.18\", expect_size=\"24275968\"] \n  3 -> 33 [size =\"24275968\"]\n  3 -> 34 [size =\"24275968\"]\n  3 -> 37 [size =\"24275968\"]\n  3 -> 38 [size =\"24275968\"]\n  3 -> 39 [size =\"24275968\"]\n  3 -> 44 [size =\"24275968\"]\n  3 -> 45 [size =\"24275968\"]\n  3 -> 49 [size =\"24275968\"]\n  4 [size=\"33172480\", alpha=\"0.03\", expect_size=\"13268992\"] \n  4 -> 33 [size =\"13268992\"]\n  4 -> 34 [size =\"13268992\"]\n  4 -> 37 [size =\"13268992\"]\n  4 -> 38 [size =\"13268992\"]\n  4 -> 39 [size =\"13268992\"]\n  4 -> 40 [size =\"13268992\"]\n  4 -> 41 [size =\"13268992\"]\n  4 -> 48 [size =\"13268992\"]\n  5 [size=\"72599040\", alpha=\"0.04\", expect_size=\"29039616\"] \n  5 -> 33 [size =\"29039616\"]\n  5 -> 34 [size =\"29039616\"]\n  5 -> 36 [size =\"29039616\"]\n  5 -> 37 [size =\"29039616\"]\n  5 -> 38 [size =\"29039616\"]\n  5 -> 39 [size =\"29039616\"]\n  5 -> 40 [size =\"29039616\"]\n  5 -> 44 [size =\"29039616\"]\n  5 -> 49 [size =\"29039616\"]\n  6 [size=\"54471680\", alpha=\"0.11\", expect_size=\"21788672\"] \n  6 -> 33 [size =\"21788672\"]\n  6 -> 34 [size =\"21788672\"]\n  6 -> 37 [size =\"21788672\"]\n  6 -> 38 [size =\"21788672\"]\n  6 -> 42 [size =\"21788672\"]\n  6 -> 45 [size =\"21788672\"]\n  6 -> 47 [size =\"21788672\"]\n  6 -> 48 [size =\"21788672\"]\n  7 [size=\"67200000\", alpha=\"0.03\", expect_size=\"26880000\"] \n  7 -> 33 [size =\"26880000\"]\n  7 -> 34 [size =\"26880000\"]\n  7 -> 37 [size =\"26880000\"]\n  7 -> 42 [size =\"26880000\"]\n  7 -> 44 [size =\"26880000\"]\n  7 -> 45 [size =\"26880000\"]\n  7 -> 49 [size =\"26880000\"]\n  8 [size=\"19650560\", alpha=\"0.15\", expect_size=\"7860224\"] \n  8 -> 33 [size =\"7860224\"]\n  8 -> 34 [size =\"7860224\"]\n  8 -> 37 [size =\"7860224\"]\n  8 -> 38 [size =\"7860224\"]\n  8 -> 39 [size =\"7860224\"]\n  8 -> 47 [size =\"7860224\"]\n  8 -> 50 [size =\"7860224\"]\n  9 [size=\"31009280\", alpha=\"0.03\", expect_size=\"12403712\"] \n  9 -> 33 [size =\"12403712\"]\n  9 -> 34 [size =\"12403712\"]\n  9 -> 37 [size =\"12403712\"]\n  9 -> 38 [size =\"12403712\"]\n  9 -> 39 [size =\"12403712\"]\n  9 -> 41 [size =\"12403712\"]\n  9 -> 45 [size =\"12403712\"]\n  9 -> 47 [size =\"12403712\"]\n  9 -> 48 [size =\"12403712\"]\n  10 [size=\"13644800\", alpha=\"0.13\", expect_size=\"5457920\"] \n  10 -> 33 [size =\"5457920\"]\n  10 -> 34 [size =\"5457920\"]\n  10 -> 37 [size =\"5457920\"]\n  10 -> 38 [size =\"5457920\"]\n  10 -> 39 [size =\"5457920\"]\n  10 -> 41 [size =\"5457920\"]\n  10 -> 45 [size =\"5457920\"]\n  10 -> 46 [size =\"5457920\"]\n  10 -> 48 [size =\"5457920\"]\n  11 [size=\"124876800\", alpha=\"0.18\", expect_size=\"49950720\"] \n  11 -> 33 [size =\"49950720\"]\n  11 -> 34 [size =\"49950720\"]\n  11 -> 37 [size =\"49950720\"]\n  11 -> 38 [size =\"49950720\"]\n  11 -> 39 [size =\"49950720\"]\n  11 -> 40 [size =\"49950720\"]\n  11 -> 46 [size =\"49950720\"]\n  12 [size=\"17551360\", alpha=\"0.08\", expect_size=\"7020544\"] \n  12 -> 34 [size =\"7020544\"]\n  12 -> 34 [size =\"7020544\"]\n  12 -> 37 [size =\"7020544\"]\n  12 -> 38 [size =\"7020544\"]\n  12 -> 39 [size =\"7020544\"]\n  12 -> 40 [size =\"7020544\"]\n  12 -> 43 [size =\"7020544\"]\n  12 -> 45 [size =\"7020544\"]\n  12 -> 47 [size =\"7020544\"]\n  12 -> 48 [size =\"7020544\"]\n  12 -> 49 [size =\"7020544\"]\n  13 [size=\"71626240\", alpha=\"0.12\", expect_size=\"28650496\"] \n  13 -> 34 [size =\"28650496\"]\n  13 -> 38 [size =\"28650496\"]\n  13 -> 40 [size =\"28650496\"]\n  13 -> 45 [size =\"28650496\"]\n  13 -> 47 [size =\"28650496\"]\n  13 -> 49 [size =\"28650496\"]\n  14 [size=\"62292480\", alpha=\"0.04\", expect_size=\"24916992\"] \n  14 -> 36 [size =\"24916992\"]\n  14 -> 38 [size =\"24916992\"]\n  14 -> 40 [size =\"24916992\"]\n  15 [size=\"82688000\", alpha=\"0.03\", expect_size=\"33075200\"] \n  15 -> 35 [size =\"33075200\"]\n  15 -> 37 [size =\"33075200\"]\n  15 -> 38 [size =\"33075200\"]\n  15 -> 40 [size =\"33075200\"]\n  15 -> 47 [size =\"33075200\"]\n  15 -> 48 [size =\"33075200\"]\n  15 -> 49 [size =\"33075200\"]\n  16 [size=\"106785280\", alpha=\"0.14\", expect_size=\"42714112\"] \n  16 -> 33 [size =\"42714112\"]\n  16 -> 34 [size =\"42714112\"]\n  16 -> 37 [size =\"42714112\"]\n  16 -> 38 [size =\"42714112\"]\n  16 -> 39 [size =\"42714112\"]\n  16 -> 47 [size =\"42714112\"]\n  17 [size=\"55923200\", alpha=\"0.18\", expect_size=\"22369280\"] \n  17 -> 34 [size =\"22369280\"]\n  17 -> 36 [size =\"22369280\"]\n  17 -> 37 [size =\"22369280\"]\n  17 -> 39 [size =\"22369280\"]\n  17 -> 40 [size =\"22369280\"]\n  17 -> 45 [size =\"22369280\"]\n  17 -> 47 [size =\"22369280\"]\n  18 [size=\"75627520\", alpha=\"0.02\", expect_size=\"30251008\"] \n  18 -> 34 [size =\"30251008\"]\n  18 -> 36 [size =\"30251008\"]\n  18 -> 37 [size =\"30251008\"]\n  18 -> 46 [size =\"30251008\"]\n  19 [size=\"44592640\", alpha=\"0.15\", expect_size=\"17837056\"] \n  19 -> 33 [size =\"17837056\"]\n  19 -> 34 [size =\"17837056\"]\n  19 -> 37 [size =\"17837056\"]\n  19 -> 38 [size =\"17837056\"]\n  19 -> 41 [size =\"17837056\"]\n  19 -> 46 [size =\"17837056\"]\n  19 -> 47 [size =\"17837056\"]\n  20 [size=\"61672960\", alpha=\"0.12\", expect_size=\"24669184\"] \n  20 -> 33 [size =\"24669184\"]\n  20 -> 35 [size =\"24669184\"]\n  20 -> 39 [size =\"24669184\"]\n  20 -> 40 [size =\"24669184\"]\n  20 -> 44 [size =\"24669184\"]\n  20 -> 47 [size =\"24669184\"]\n  20 -> 49 [size =\"24669184\"]\n  21 [size=\"18401280\", alpha=\"0.02\", expect_size=\"7360512\"] \n  21 -> 33 [size =\"7360512\"]\n  21 -> 34 [size =\"7360512\"]\n  21 -> 38 [size =\"7360512\"]\n  21 -> 39 [size =\"7360512\"]\n  21 -> 40 [size =\"7360512\"]\n  21 -> 44 [size =\"7360512\"]\n  21 -> 47 [size =\"7360512\"]\n  21 -> 48 [size =\"7360512\"]\n  22 [size=\"122513920\", alpha=\"0.07\", expect_size=\"49005568\"] \n  22 -> 33 [size =\"49005568\"]\n  22 -> 34 [size =\"49005568\"]\n  22 -> 39 [size =\"49005568\"]\n  22 -> 40 [size =\"49005568\"]\n  22 -> 41 [size =\"49005568\"]\n  22 -> 46 [size =\"49005568\"]\n  23 [size=\"48808960\", alpha=\"0.19\", expect_size=\"19523584\"] \n  23 -> 33 [size =\"19523584\"]\n  23 -> 37 [size =\"19523584\"]\n  23 -> 39 [size =\"19523584\"]\n  23 -> 41 [size =\"19523584\"]\n  23 -> 41 [size =\"19523584\"]\n  23 -> 48 [size =\"19523584\"]\n  24 [size=\"119969280\", alpha=\"0.15\", expect_size=\"47987712\"] \n  24 -> 33 [size =\"47987712\"]\n  24 -> 38 [size =\"47987712\"]\n  24 -> 41 [size =\"47987712\"]\n  24 -> 41 [size =\"47987712\"]\n  24 -> 44 [size =\"47987712\"]\n  24 -> 48 [size =\"47987712\"]\n  25 [size=\"25520640\", alpha=\"0.01\", expect_size=\"10208256\"] \n  25 -> 33 [size =\"10208256\"]\n  25 -> 35 [size =\"10208256\"]\n  25 -> 37 [size =\"10208256\"]\n  25 -> 39 [size =\"10208256\"]\n  25 -> 41 [size =\"10208256\"]\n  25 -> 44 [size =\"10208256\"]\n  25 -> 45 [size =\"10208256\"]\n  25 -> 48 [size =\"10208256\"]\n  25 -> 49 [size =\"10208256\"]\n  26 [size=\"45509120\", alpha=\"0.15\", expect_size=\"18203648\"] \n  26 -> 33 [size =\"18203648\"]\n  26 -> 36 [size =\"18203648\"]\n  26 -> 39 [size =\"18203648\"]\n  26 -> 39 [size =\"18203648\"]\n  26 -> 48 [size =\"18203648\"]\n  27 [size=\"126535680\", alpha=\"0.17\", expect_size=\"50614272\"] \n  27 -> 36 [size =\"50614272\"]\n  27 -> 39 [size =\"50614272\"]\n  27 -> 45 [size =\"50614272\"]\n  27 -> 46 [size =\"50614272\"]\n  27 -> 47 [size =\"50614272\"]\n  27 -> 48 [size =\"50614272\"]\n  27 -> 49 [size =\"50614272\"]\n  28 [size=\"117616640\", alpha=\"0.00\", expect_size=\"47046656\"] \n  28 -> 41 [size =\"47046656\"]\n  28 -> 45 [size =\"47046656\"]\n  28 -> 47 [size =\"47046656\"]\n  29 [size=\"130580480\", alpha=\"0.07\", expect_size=\"52232192\"] \n  29 -> 34 [size =\"52232192\"]\n  29 -> 36 [size =\"52232192\"]\n  29 -> 39 [size =\"52232192\"]\n  29 -> 41 [size =\"52232192\"]\n  29 -> 46 [size =\"52232192\"]\n  29 -> 49 [size =\"52232192\"]\n  30 [size=\"101391360\", alpha=\"0.13\", expect_size=\"40556544\"] \n  30 -> 33 [size =\"40556544\"]\n  30 -> 34 [size =\"40556544\"]\n  30 -> 37 [size =\"40556544\"]\n  30 -> 38 [size =\"40556544\"]\n  30 -> 39 [size =\"40556544\"]\n  30 -> 42 [size =\"40556544\"]\n  30 -> 45 [size =\"40556544\"]\n  30 -> 46 [size =\"40556544\"]\n  30 -> 48 [size =\"40556544\"]\n  30 -> 49 [size =\"40556544\"]\n  31 [size=\"53939200\", alpha=\"0.19\", expect_size=\"21575680\"] \n  31 -> 33 [size =\"21575680\"]\n  31 -> 34 [size =\"21575680\"]\n  31 -> 36 [size =\"21575680\"]\n  31 -> 38 [size =\"21575680\"]\n  31 -> 40 [size =\"21575680\"]\n  31 -> 42 [size =\"21575680\"]\n  31 -> 45 [size =\"21575680\"]\n  31 -> 49 [size =\"21575680\"]\n  32 [size=\"65418240\", alpha=\"0.05\", expect_size=\"26167296\"] \n  32 -> 35 [size =\"26167296\"]\n  32 -> 38 [size =\"26167296\"]\n  32 -> 39 [size =\"26167296\"]\n  32 -> 41 [size =\"26167296\"]\n  32 -> 42 [size =\"26167296\"]\n  32 -> 42 [size =\"26167296\"]\n  32 -> 47 [size =\"26167296\"]\n  32 -> 49 [size =\"26167296\"]\n  33 [size=\"104017920\", alpha=\"0.01\", expect_size=\"41607168\"] \n  34 [size=\"99356160\", alpha=\"0.06\", expect_size=\"39742464\"] \n  35 [size=\"71500800\", alpha=\"0.02\", expect_size=\"28600320\"] \n  36 [size=\"79943680\", alpha=\"0.15\", expect_size=\"31977472\"] \n  37 [size=\"48087040\", alpha=\"0.14\", expect_size=\"19234816\"] \n  38 [size=\"30028800\", alpha=\"0.04\", expect_size=\"12011520\"] \n  39 [size=\"32307200\", alpha=\"0.20\", expect_size=\"12922880\"] \n  40 [size=\"72832000\", alpha=\"0.03\", expect_size=\"29132800\"] \n  41 [size=\"34176000\", alpha=\"0.08\", expect_size=\"13670400\"] \n  42 [size=\"28106240\", alpha=\"0.11\", expect_size=\"11242496\"] \n  43 [size=\"59072000\", alpha=\"0.20\", expect_size=\"23628800\"] \n  44 [size=\"67630080\", alpha=\"0.07\", expect_size=\"27052032\"] \n  45 [size=\"102963200\", alpha=\"0.17\", expect_size=\"41185280\"] \n  46 [size=\"116689920\", alpha=\"0.11\", expect_size=\"46675968\"] \n  47 [size=\"84528640\", alpha=\"0.06\", expect_size=\"33811456\"] \n  48 [size=\"49295360\", alpha=\"0.17\", expect_size=\"19718144\"] \n  49 [size=\"73507840\", alpha=\"0.09\", expect_size=\"29403136\"] \n  50 [size=\"70694400\", alpha=\"0.16\", expect_size=\"28277760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.148.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82119680\", alpha=\"0.11\", expect_size=\"32847872\"] \n  1 -> 2 [size =\"32847872\"]\n  2 [size=\"90606080\", alpha=\"0.04\", expect_size=\"36242432\"] \n  2 -> 3 [size =\"36242432\"]\n  3 [size=\"54515200\", alpha=\"0.04\", expect_size=\"21806080\"] \n  3 -> 4 [size =\"21806080\"]\n  4 [size=\"93127680\", alpha=\"0.05\", expect_size=\"37251072\"] \n  4 -> 5 [size =\"37251072\"]\n  5 [size=\"96778240\", alpha=\"0.12\", expect_size=\"38711296\"] \n  5 -> 6 [size =\"38711296\"]\n  6 [size=\"87178240\", alpha=\"0.12\", expect_size=\"34871296\"] \n  6 -> 7 [size =\"34871296\"]\n  7 [size=\"43614720\", alpha=\"0.12\", expect_size=\"17445888\"] \n  7 -> 8 [size =\"17445888\"]\n  8 [size=\"105530880\", alpha=\"0.12\", expect_size=\"42212352\"] \n  8 -> 9 [size =\"42212352\"]\n  9 [size=\"37061120\", alpha=\"0.11\", expect_size=\"14824448\"] \n  9 -> 10 [size =\"14824448\"]\n  10 [size=\"72916480\", alpha=\"0.09\", expect_size=\"29166592\"] \n  10 -> 11 [size =\"29166592\"]\n  11 [size=\"37744640\", alpha=\"0.08\", expect_size=\"15097856\"] \n  11 -> 12 [size =\"15097856\"]\n  12 [size=\"101521920\", alpha=\"0.03\", expect_size=\"40608768\"] \n  12 -> 13 [size =\"40608768\"]\n  13 [size=\"122385920\", alpha=\"0.19\", expect_size=\"48954368\"] \n  13 -> 14 [size =\"48954368\"]\n  14 [size=\"28070400\", alpha=\"0.19\", expect_size=\"11228160\"] \n  14 -> 15 [size =\"11228160\"]\n  15 [size=\"59448320\", alpha=\"0.06\", expect_size=\"23779328\"] \n  15 -> 16 [size =\"23779328\"]\n  16 [size=\"128957440\", alpha=\"0.00\", expect_size=\"51582976\"] \n  16 -> 17 [size =\"51582976\"]\n  17 [size=\"79695360\", alpha=\"0.03\", expect_size=\"31878144\"] \n  17 -> 18 [size =\"31878144\"]\n  18 [size=\"31073280\", alpha=\"0.12\", expect_size=\"12429312\"] \n  18 -> 19 [size =\"12429312\"]\n  19 [size=\"100072960\", alpha=\"0.14\", expect_size=\"40029184\"] \n  19 -> 20 [size =\"40029184\"]\n  20 [size=\"49036800\", alpha=\"0.20\", expect_size=\"19614720\"] \n  20 -> 21 [size =\"19614720\"]\n  21 [size=\"99386880\", alpha=\"0.17\", expect_size=\"39754752\"] \n  21 -> 22 [size =\"39754752\"]\n  22 [size=\"27141120\", alpha=\"0.08\", expect_size=\"10856448\"] \n  22 -> 23 [size =\"10856448\"]\n  23 [size=\"44152320\", alpha=\"0.06\", expect_size=\"17660928\"] \n  23 -> 24 [size =\"17660928\"]\n  24 [size=\"40678400\", alpha=\"0.17\", expect_size=\"16271360\"] \n  24 -> 25 [size =\"16271360\"]\n  25 [size=\"32181760\", alpha=\"0.02\", expect_size=\"12872704\"] \n  25 -> 26 [size =\"12872704\"]\n  26 [size=\"65907200\", alpha=\"0.00\", expect_size=\"26362880\"] \n  26 -> 27 [size =\"26362880\"]\n  27 [size=\"66265600\", alpha=\"0.04\", expect_size=\"26506240\"] \n  27 -> 28 [size =\"26506240\"]\n  28 [size=\"81397760\", alpha=\"0.02\", expect_size=\"32559104\"] \n  28 -> 29 [size =\"32559104\"]\n  29 [size=\"34439680\", alpha=\"0.05\", expect_size=\"13775872\"] \n  29 -> 30 [size =\"13775872\"]\n  30 [size=\"117094400\", alpha=\"0.18\", expect_size=\"46837760\"] \n  30 -> 31 [size =\"46837760\"]\n  31 [size=\"116172800\", alpha=\"0.16\", expect_size=\"46469120\"] \n  31 -> 32 [size =\"46469120\"]\n  32 [size=\"100689920\", alpha=\"0.08\", expect_size=\"40275968\"] \n  32 -> 33 [size =\"40275968\"]\n  33 [size=\"30182400\", alpha=\"0.19\", expect_size=\"12072960\"] \n  33 -> 34 [size =\"12072960\"]\n  34 [size=\"64020480\", alpha=\"0.12\", expect_size=\"25608192\"] \n  34 -> 35 [size =\"25608192\"]\n  35 [size=\"46302720\", alpha=\"0.13\", expect_size=\"18521088\"] \n  35 -> 36 [size =\"18521088\"]\n  36 [size=\"60697600\", alpha=\"0.14\", expect_size=\"24279040\"] \n  36 -> 37 [size =\"24279040\"]\n  37 [size=\"63319040\", alpha=\"0.06\", expect_size=\"25327616\"] \n  37 -> 38 [size =\"25327616\"]\n  38 [size=\"84666880\", alpha=\"0.01\", expect_size=\"33866752\"] \n  38 -> 39 [size =\"33866752\"]\n  39 [size=\"99210240\", alpha=\"0.11\", expect_size=\"39684096\"] \n  39 -> 40 [size =\"39684096\"]\n  40 [size=\"130900480\", alpha=\"0.07\", expect_size=\"52360192\"] \n  40 -> 41 [size =\"52360192\"]\n  41 [size=\"121582080\", alpha=\"0.17\", expect_size=\"48632832\"] \n  41 -> 42 [size =\"48632832\"]\n  42 [size=\"95897600\", alpha=\"0.10\", expect_size=\"38359040\"] \n  42 -> 43 [size =\"38359040\"]\n  43 [size=\"24296960\", alpha=\"0.09\", expect_size=\"9718784\"] \n  43 -> 44 [size =\"9718784\"]\n  44 [size=\"16064000\", alpha=\"0.11\", expect_size=\"6425600\"] \n  44 -> 45 [size =\"6425600\"]\n  45 [size=\"86159360\", alpha=\"0.18\", expect_size=\"34463744\"] \n  45 -> 46 [size =\"34463744\"]\n  46 [size=\"44999680\", alpha=\"0.13\", expect_size=\"17999872\"] \n  46 -> 47 [size =\"17999872\"]\n  47 [size=\"126394880\", alpha=\"0.17\", expect_size=\"50557952\"] \n  47 -> 48 [size =\"50557952\"]\n  48 [size=\"43046400\", alpha=\"0.12\", expect_size=\"17218560\"] \n  48 -> 49 [size =\"17218560\"]\n  49 [size=\"48849920\", alpha=\"0.12\", expect_size=\"19539968\"] \n  49 -> 50 [size =\"19539968\"]\n  50 [size=\"112808960\", alpha=\"0.09\", expect_size=\"45123584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.149.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91969536\", alpha=\"0.07\", expect_size=\"45984768\"] \n  1 -> 33 [size =\"45984768\"]\n  1 -> 34 [size =\"45984768\"]\n  1 -> 38 [size =\"45984768\"]\n  1 -> 39 [size =\"45984768\"]\n  1 -> 40 [size =\"45984768\"]\n  1 -> 41 [size =\"45984768\"]\n  1 -> 44 [size =\"45984768\"]\n  1 -> 46 [size =\"45984768\"]\n  2 [size=\"68229120\", alpha=\"0.03\", expect_size=\"34114560\"] \n  2 -> 33 [size =\"34114560\"]\n  2 -> 34 [size =\"34114560\"]\n  2 -> 39 [size =\"34114560\"]\n  2 -> 40 [size =\"34114560\"]\n  2 -> 41 [size =\"34114560\"]\n  2 -> 43 [size =\"34114560\"]\n  2 -> 46 [size =\"34114560\"]\n  2 -> 46 [size =\"34114560\"]\n  2 -> 47 [size =\"34114560\"]\n  2 -> 50 [size =\"34114560\"]\n  3 [size=\"69318656\", alpha=\"0.09\", expect_size=\"34659328\"] \n  3 -> 33 [size =\"34659328\"]\n  3 -> 34 [size =\"34659328\"]\n  3 -> 39 [size =\"34659328\"]\n  3 -> 45 [size =\"34659328\"]\n  3 -> 46 [size =\"34659328\"]\n  3 -> 47 [size =\"34659328\"]\n  3 -> 49 [size =\"34659328\"]\n  3 -> 50 [size =\"34659328\"]\n  4 [size=\"87453696\", alpha=\"0.08\", expect_size=\"43726848\"] \n  4 -> 33 [size =\"43726848\"]\n  4 -> 34 [size =\"43726848\"]\n  4 -> 35 [size =\"43726848\"]\n  4 -> 37 [size =\"43726848\"]\n  4 -> 39 [size =\"43726848\"]\n  4 -> 43 [size =\"43726848\"]\n  4 -> 45 [size =\"43726848\"]\n  4 -> 46 [size =\"43726848\"]\n  4 -> 48 [size =\"43726848\"]\n  4 -> 50 [size =\"43726848\"]\n  5 [size=\"101885952\", alpha=\"0.19\", expect_size=\"50942976\"] \n  5 -> 33 [size =\"50942976\"]\n  5 -> 34 [size =\"50942976\"]\n  5 -> 35 [size =\"50942976\"]\n  5 -> 37 [size =\"50942976\"]\n  5 -> 39 [size =\"50942976\"]\n  5 -> 43 [size =\"50942976\"]\n  5 -> 44 [size =\"50942976\"]\n  5 -> 46 [size =\"50942976\"]\n  5 -> 47 [size =\"50942976\"]\n  5 -> 50 [size =\"50942976\"]\n  6 [size=\"48742400\", alpha=\"0.04\", expect_size=\"24371200\"] \n  6 -> 34 [size =\"24371200\"]\n  6 -> 34 [size =\"24371200\"]\n  6 -> 35 [size =\"24371200\"]\n  6 -> 38 [size =\"24371200\"]\n  6 -> 39 [size =\"24371200\"]\n  6 -> 40 [size =\"24371200\"]\n  6 -> 43 [size =\"24371200\"]\n  6 -> 47 [size =\"24371200\"]\n  6 -> 50 [size =\"24371200\"]\n  6 -> 50 [size =\"24371200\"]\n  7 [size=\"33660928\", alpha=\"0.10\", expect_size=\"16830464\"] \n  7 -> 33 [size =\"16830464\"]\n  7 -> 34 [size =\"16830464\"]\n  7 -> 35 [size =\"16830464\"]\n  7 -> 40 [size =\"16830464\"]\n  7 -> 45 [size =\"16830464\"]\n  7 -> 47 [size =\"16830464\"]\n  7 -> 48 [size =\"16830464\"]\n  7 -> 49 [size =\"16830464\"]\n  7 -> 50 [size =\"16830464\"]\n  8 [size=\"14026752\", alpha=\"0.13\", expect_size=\"7013376\"] \n  8 -> 33 [size =\"7013376\"]\n  8 -> 34 [size =\"7013376\"]\n  8 -> 40 [size =\"7013376\"]\n  8 -> 42 [size =\"7013376\"]\n  8 -> 47 [size =\"7013376\"]\n  8 -> 48 [size =\"7013376\"]\n  8 -> 50 [size =\"7013376\"]\n  9 [size=\"103768064\", alpha=\"0.10\", expect_size=\"51884032\"] \n  9 -> 33 [size =\"51884032\"]\n  9 -> 34 [size =\"51884032\"]\n  9 -> 35 [size =\"51884032\"]\n  9 -> 37 [size =\"51884032\"]\n  9 -> 40 [size =\"51884032\"]\n  9 -> 41 [size =\"51884032\"]\n  9 -> 44 [size =\"51884032\"]\n  9 -> 45 [size =\"51884032\"]\n  9 -> 46 [size =\"51884032\"]\n  9 -> 50 [size =\"51884032\"]\n  10 [size=\"34805760\", alpha=\"0.19\", expect_size=\"17402880\"] \n  10 -> 33 [size =\"17402880\"]\n  10 -> 40 [size =\"17402880\"]\n  10 -> 43 [size =\"17402880\"]\n  10 -> 45 [size =\"17402880\"]\n  10 -> 46 [size =\"17402880\"]\n  10 -> 49 [size =\"17402880\"]\n  10 -> 50 [size =\"17402880\"]\n  11 [size=\"43814912\", alpha=\"0.09\", expect_size=\"21907456\"] \n  11 -> 33 [size =\"21907456\"]\n  11 -> 35 [size =\"21907456\"]\n  11 -> 39 [size =\"21907456\"]\n  11 -> 40 [size =\"21907456\"]\n  11 -> 43 [size =\"21907456\"]\n  11 -> 45 [size =\"21907456\"]\n  11 -> 49 [size =\"21907456\"]\n  12 [size=\"74645504\", alpha=\"0.08\", expect_size=\"37322752\"] \n  12 -> 33 [size =\"37322752\"]\n  12 -> 39 [size =\"37322752\"]\n  12 -> 39 [size =\"37322752\"]\n  12 -> 40 [size =\"37322752\"]\n  12 -> 41 [size =\"37322752\"]\n  12 -> 43 [size =\"37322752\"]\n  12 -> 45 [size =\"37322752\"]\n  12 -> 46 [size =\"37322752\"]\n  12 -> 50 [size =\"37322752\"]\n  13 [size=\"87767040\", alpha=\"0.19\", expect_size=\"43883520\"] \n  13 -> 34 [size =\"43883520\"]\n  13 -> 36 [size =\"43883520\"]\n  13 -> 38 [size =\"43883520\"]\n  13 -> 39 [size =\"43883520\"]\n  13 -> 40 [size =\"43883520\"]\n  13 -> 41 [size =\"43883520\"]\n  13 -> 42 [size =\"43883520\"]\n  13 -> 46 [size =\"43883520\"]\n  14 [size=\"36753408\", alpha=\"0.13\", expect_size=\"18376704\"] \n  14 -> 33 [size =\"18376704\"]\n  14 -> 34 [size =\"18376704\"]\n  14 -> 38 [size =\"18376704\"]\n  14 -> 40 [size =\"18376704\"]\n  14 -> 41 [size =\"18376704\"]\n  14 -> 41 [size =\"18376704\"]\n  14 -> 45 [size =\"18376704\"]\n  14 -> 47 [size =\"18376704\"]\n  14 -> 49 [size =\"18376704\"]\n  14 -> 50 [size =\"18376704\"]\n  15 [size=\"72701952\", alpha=\"0.20\", expect_size=\"36350976\"] \n  15 -> 33 [size =\"36350976\"]\n  15 -> 34 [size =\"36350976\"]\n  15 -> 39 [size =\"36350976\"]\n  15 -> 40 [size =\"36350976\"]\n  15 -> 41 [size =\"36350976\"]\n  15 -> 43 [size =\"36350976\"]\n  15 -> 47 [size =\"36350976\"]\n  16 [size=\"66269184\", alpha=\"0.05\", expect_size=\"33134592\"] \n  16 -> 34 [size =\"33134592\"]\n  16 -> 34 [size =\"33134592\"]\n  16 -> 35 [size =\"33134592\"]\n  16 -> 38 [size =\"33134592\"]\n  16 -> 39 [size =\"33134592\"]\n  16 -> 41 [size =\"33134592\"]\n  16 -> 42 [size =\"33134592\"]\n  16 -> 43 [size =\"33134592\"]\n  16 -> 45 [size =\"33134592\"]\n  16 -> 46 [size =\"33134592\"]\n  16 -> 48 [size =\"33134592\"]\n  16 -> 50 [size =\"33134592\"]\n  17 [size=\"86798336\", alpha=\"0.14\", expect_size=\"43399168\"] \n  17 -> 35 [size =\"43399168\"]\n  17 -> 38 [size =\"43399168\"]\n  17 -> 39 [size =\"43399168\"]\n  17 -> 41 [size =\"43399168\"]\n  17 -> 42 [size =\"43399168\"]\n  17 -> 43 [size =\"43399168\"]\n  17 -> 44 [size =\"43399168\"]\n  17 -> 45 [size =\"43399168\"]\n  17 -> 50 [size =\"43399168\"]\n  18 [size=\"37713920\", alpha=\"0.06\", expect_size=\"18856960\"] \n  18 -> 34 [size =\"18856960\"]\n  18 -> 35 [size =\"18856960\"]\n  18 -> 38 [size =\"18856960\"]\n  18 -> 42 [size =\"18856960\"]\n  18 -> 43 [size =\"18856960\"]\n  18 -> 43 [size =\"18856960\"]\n  18 -> 46 [size =\"18856960\"]\n  18 -> 50 [size =\"18856960\"]\n  18 -> 50 [size =\"18856960\"]\n  19 [size=\"99610624\", alpha=\"0.05\", expect_size=\"49805312\"] \n  19 -> 35 [size =\"49805312\"]\n  19 -> 37 [size =\"49805312\"]\n  19 -> 40 [size =\"49805312\"]\n  19 -> 41 [size =\"49805312\"]\n  19 -> 47 [size =\"49805312\"]\n  20 [size=\"54003712\", alpha=\"0.01\", expect_size=\"27001856\"] \n  20 -> 33 [size =\"27001856\"]\n  20 -> 35 [size =\"27001856\"]\n  20 -> 39 [size =\"27001856\"]\n  20 -> 42 [size =\"27001856\"]\n  20 -> 45 [size =\"27001856\"]\n  20 -> 46 [size =\"27001856\"]\n  20 -> 47 [size =\"27001856\"]\n  20 -> 48 [size =\"27001856\"]\n  21 [size=\"48193536\", alpha=\"0.14\", expect_size=\"24096768\"] \n  21 -> 35 [size =\"24096768\"]\n  21 -> 35 [size =\"24096768\"]\n  21 -> 37 [size =\"24096768\"]\n  21 -> 39 [size =\"24096768\"]\n  21 -> 44 [size =\"24096768\"]\n  21 -> 46 [size =\"24096768\"]\n  22 [size=\"92352512\", alpha=\"0.20\", expect_size=\"46176256\"] \n  22 -> 34 [size =\"46176256\"]\n  22 -> 35 [size =\"46176256\"]\n  22 -> 44 [size =\"46176256\"]\n  22 -> 46 [size =\"46176256\"]\n  22 -> 48 [size =\"46176256\"]\n  23 [size=\"36106240\", alpha=\"0.18\", expect_size=\"18053120\"] \n  23 -> 34 [size =\"18053120\"]\n  23 -> 36 [size =\"18053120\"]\n  23 -> 39 [size =\"18053120\"]\n  23 -> 40 [size =\"18053120\"]\n  23 -> 42 [size =\"18053120\"]\n  23 -> 43 [size =\"18053120\"]\n  23 -> 47 [size =\"18053120\"]\n  24 [size=\"33255424\", alpha=\"0.12\", expect_size=\"16627712\"] \n  24 -> 33 [size =\"16627712\"]\n  24 -> 34 [size =\"16627712\"]\n  24 -> 39 [size =\"16627712\"]\n  24 -> 43 [size =\"16627712\"]\n  24 -> 46 [size =\"16627712\"]\n  24 -> 48 [size =\"16627712\"]\n  25 [size=\"96466944\", alpha=\"0.06\", expect_size=\"48233472\"] \n  25 -> 33 [size =\"48233472\"]\n  25 -> 39 [size =\"48233472\"]\n  25 -> 41 [size =\"48233472\"]\n  25 -> 42 [size =\"48233472\"]\n  25 -> 43 [size =\"48233472\"]\n  25 -> 45 [size =\"48233472\"]\n  25 -> 50 [size =\"48233472\"]\n  26 [size=\"94257152\", alpha=\"0.08\", expect_size=\"47128576\"] \n  26 -> 34 [size =\"47128576\"]\n  26 -> 35 [size =\"47128576\"]\n  26 -> 41 [size =\"47128576\"]\n  26 -> 42 [size =\"47128576\"]\n  26 -> 43 [size =\"47128576\"]\n  26 -> 45 [size =\"47128576\"]\n  26 -> 46 [size =\"47128576\"]\n  26 -> 48 [size =\"47128576\"]\n  26 -> 50 [size =\"47128576\"]\n  27 [size=\"24854528\", alpha=\"0.14\", expect_size=\"12427264\"] \n  27 -> 41 [size =\"12427264\"]\n  27 -> 43 [size =\"12427264\"]\n  27 -> 44 [size =\"12427264\"]\n  27 -> 46 [size =\"12427264\"]\n  28 [size=\"92434432\", alpha=\"0.02\", expect_size=\"46217216\"] \n  28 -> 38 [size =\"46217216\"]\n  28 -> 43 [size =\"46217216\"]\n  28 -> 47 [size =\"46217216\"]\n  28 -> 49 [size =\"46217216\"]\n  29 [size=\"27910144\", alpha=\"0.09\", expect_size=\"13955072\"] \n  29 -> 33 [size =\"13955072\"]\n  29 -> 35 [size =\"13955072\"]\n  29 -> 38 [size =\"13955072\"]\n  29 -> 39 [size =\"13955072\"]\n  29 -> 43 [size =\"13955072\"]\n  29 -> 44 [size =\"13955072\"]\n  29 -> 45 [size =\"13955072\"]\n  29 -> 46 [size =\"13955072\"]\n  29 -> 47 [size =\"13955072\"]\n  29 -> 50 [size =\"13955072\"]\n  30 [size=\"50200576\", alpha=\"0.02\", expect_size=\"25100288\"] \n  30 -> 33 [size =\"25100288\"]\n  30 -> 35 [size =\"25100288\"]\n  30 -> 37 [size =\"25100288\"]\n  30 -> 38 [size =\"25100288\"]\n  30 -> 42 [size =\"25100288\"]\n  30 -> 45 [size =\"25100288\"]\n  30 -> 46 [size =\"25100288\"]\n  31 [size=\"53936128\", alpha=\"0.01\", expect_size=\"26968064\"] \n  31 -> 33 [size =\"26968064\"]\n  31 -> 37 [size =\"26968064\"]\n  31 -> 39 [size =\"26968064\"]\n  31 -> 40 [size =\"26968064\"]\n  31 -> 42 [size =\"26968064\"]\n  31 -> 44 [size =\"26968064\"]\n  31 -> 45 [size =\"26968064\"]\n  31 -> 46 [size =\"26968064\"]\n  31 -> 47 [size =\"26968064\"]\n  32 [size=\"26224640\", alpha=\"0.14\", expect_size=\"13112320\"] \n  32 -> 33 [size =\"13112320\"]\n  32 -> 34 [size =\"13112320\"]\n  32 -> 37 [size =\"13112320\"]\n  32 -> 39 [size =\"13112320\"]\n  32 -> 40 [size =\"13112320\"]\n  32 -> 42 [size =\"13112320\"]\n  32 -> 43 [size =\"13112320\"]\n  32 -> 46 [size =\"13112320\"]\n  32 -> 50 [size =\"13112320\"]\n  33 [size=\"24813568\", alpha=\"0.04\", expect_size=\"12406784\"] \n  34 [size=\"14163968\", alpha=\"0.19\", expect_size=\"7081984\"] \n  35 [size=\"71247872\", alpha=\"0.07\", expect_size=\"35623936\"] \n  36 [size=\"98719744\", alpha=\"0.07\", expect_size=\"49359872\"] \n  37 [size=\"40466432\", alpha=\"0.03\", expect_size=\"20233216\"] \n  38 [size=\"14034944\", alpha=\"0.05\", expect_size=\"7017472\"] \n  39 [size=\"22970368\", alpha=\"0.06\", expect_size=\"11485184\"] \n  40 [size=\"66181120\", alpha=\"0.16\", expect_size=\"33090560\"] \n  41 [size=\"73619456\", alpha=\"0.14\", expect_size=\"36809728\"] \n  42 [size=\"78612480\", alpha=\"0.10\", expect_size=\"39306240\"] \n  43 [size=\"50952192\", alpha=\"0.10\", expect_size=\"25476096\"] \n  44 [size=\"67919872\", alpha=\"0.16\", expect_size=\"33959936\"] \n  45 [size=\"61415424\", alpha=\"0.20\", expect_size=\"30707712\"] \n  46 [size=\"93657088\", alpha=\"0.02\", expect_size=\"46828544\"] \n  47 [size=\"31680512\", alpha=\"0.06\", expect_size=\"15840256\"] \n  48 [size=\"46174208\", alpha=\"0.08\", expect_size=\"23087104\"] \n  49 [size=\"69994496\", alpha=\"0.14\", expect_size=\"34997248\"] \n  50 [size=\"97896448\", alpha=\"0.08\", expect_size=\"48948224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99130027\", alpha=\"0.06\", expect_size=\"29739008\"] \n  1 -> 4 [size =\"29739008\"]\n  1 -> 5 [size =\"29739008\"]\n  2 [size=\"129713493\", alpha=\"0.12\", expect_size=\"38914048\"] \n  2 -> 4 [size =\"38914048\"]\n  2 -> 6 [size =\"38914048\"]\n  3 [size=\"53951147\", alpha=\"0.12\", expect_size=\"16185344\"] \n  3 -> 5 [size =\"16185344\"]\n  4 [size=\"20469760\", alpha=\"0.09\", expect_size=\"6140928\"] \n  4 -> 7 [size =\"6140928\"]\n  5 [size=\"124726613\", alpha=\"0.12\", expect_size=\"37417984\"] \n  5 -> 8 [size =\"37417984\"]\n  6 [size=\"141209600\", alpha=\"0.12\", expect_size=\"42362880\"] \n  6 -> 8 [size =\"42362880\"]\n  7 [size=\"135854080\", alpha=\"0.05\", expect_size=\"40756224\"] \n  7 -> 9 [size =\"40756224\"]\n  7 -> 10 [size =\"40756224\"]\n  8 [size=\"168960000\", alpha=\"0.17\", expect_size=\"50688000\"] \n  8 -> 10 [size =\"50688000\"]\n  9 [size=\"145790293\", alpha=\"0.02\", expect_size=\"43737088\"] \n  9 -> 11 [size =\"43737088\"]\n  9 -> 12 [size =\"43737088\"]\n  9 -> 13 [size =\"43737088\"]\n  10 [size=\"100348587\", alpha=\"0.13\", expect_size=\"30104576\"] \n  10 -> 11 [size =\"30104576\"]\n  10 -> 13 [size =\"30104576\"]\n  11 [size=\"39591253\", alpha=\"0.17\", expect_size=\"11877376\"] \n  11 -> 14 [size =\"11877376\"]\n  11 -> 16 [size =\"11877376\"]\n  12 [size=\"85865813\", alpha=\"0.04\", expect_size=\"25759744\"] \n  12 -> 15 [size =\"25759744\"]\n  12 -> 16 [size =\"25759744\"]\n  13 [size=\"20688213\", alpha=\"0.01\", expect_size=\"6206464\"] \n  13 -> 15 [size =\"6206464\"]\n  14 [size=\"115828053\", alpha=\"0.02\", expect_size=\"34748416\"] \n  14 -> 18 [size =\"34748416\"]\n  15 [size=\"28337493\", alpha=\"0.14\", expect_size=\"8501248\"] \n  15 -> 17 [size =\"8501248\"]\n  16 [size=\"122313387\", alpha=\"0.18\", expect_size=\"36694016\"] \n  16 -> 17 [size =\"36694016\"]\n  16 -> 19 [size =\"36694016\"]\n  17 [size=\"58279253\", alpha=\"0.03\", expect_size=\"17483776\"] \n  17 -> 20 [size =\"17483776\"]\n  18 [size=\"95955627\", alpha=\"0.06\", expect_size=\"28786688\"] \n  18 -> 20 [size =\"28786688\"]\n  18 -> 21 [size =\"28786688\"]\n  19 [size=\"72103253\", alpha=\"0.07\", expect_size=\"21630976\"] \n  19 -> 22 [size =\"21630976\"]\n  20 [size=\"86033067\", alpha=\"0.15\", expect_size=\"25809920\"] \n  20 -> 23 [size =\"25809920\"]\n  20 -> 24 [size =\"25809920\"]\n  20 -> 25 [size =\"25809920\"]\n  21 [size=\"30409387\", alpha=\"0.15\", expect_size=\"9122816\"] \n  21 -> 23 [size =\"9122816\"]\n  21 -> 24 [size =\"9122816\"]\n  22 [size=\"165488640\", alpha=\"0.08\", expect_size=\"49646592\"] \n  22 -> 23 [size =\"49646592\"]\n  23 [size=\"39427413\", alpha=\"0.06\", expect_size=\"11828224\"] \n  23 -> 26 [size =\"11828224\"]\n  23 -> 27 [size =\"11828224\"]\n  24 [size=\"48203093\", alpha=\"0.05\", expect_size=\"14460928\"] \n  24 -> 26 [size =\"14460928\"]\n  25 [size=\"61470720\", alpha=\"0.17\", expect_size=\"18441216\"] \n  25 -> 26 [size =\"18441216\"]\n  26 [size=\"168663040\", alpha=\"0.05\", expect_size=\"50598912\"] \n  26 -> 28 [size =\"50598912\"]\n  26 -> 29 [size =\"50598912\"]\n  26 -> 30 [size =\"50598912\"]\n  27 [size=\"156347733\", alpha=\"0.08\", expect_size=\"46904320\"] \n  28 [size=\"22541653\", alpha=\"0.10\", expect_size=\"6762496\"] \n  28 -> 33 [size =\"6762496\"]\n  29 [size=\"67416747\", alpha=\"0.09\", expect_size=\"20225024\"] \n  29 -> 31 [size =\"20225024\"]\n  30 [size=\"119019520\", alpha=\"0.18\", expect_size=\"35705856\"] \n  30 -> 32 [size =\"35705856\"]\n  30 -> 33 [size =\"35705856\"]\n  31 [size=\"83063467\", alpha=\"0.10\", expect_size=\"24919040\"] \n  31 -> 34 [size =\"24919040\"]\n  31 -> 35 [size =\"24919040\"]\n  31 -> 36 [size =\"24919040\"]\n  32 [size=\"41198933\", alpha=\"0.10\", expect_size=\"12359680\"] \n  32 -> 34 [size =\"12359680\"]\n  32 -> 35 [size =\"12359680\"]\n  32 -> 36 [size =\"12359680\"]\n  33 [size=\"105666560\", alpha=\"0.11\", expect_size=\"31699968\"] \n  33 -> 35 [size =\"31699968\"]\n  34 [size=\"155658240\", alpha=\"0.05\", expect_size=\"46697472\"] \n  34 -> 37 [size =\"46697472\"]\n  34 -> 38 [size =\"46697472\"]\n  35 [size=\"36877653\", alpha=\"0.20\", expect_size=\"11063296\"] \n  35 -> 37 [size =\"11063296\"]\n  35 -> 39 [size =\"11063296\"]\n  36 [size=\"171154773\", alpha=\"0.08\", expect_size=\"51346432\"] \n  36 -> 39 [size =\"51346432\"]\n  37 [size=\"53080747\", alpha=\"0.01\", expect_size=\"15924224\"] \n  37 -> 40 [size =\"15924224\"]\n  38 [size=\"115606187\", alpha=\"0.05\", expect_size=\"34681856\"] \n  38 -> 40 [size =\"34681856\"]\n  39 [size=\"38362453\", alpha=\"0.15\", expect_size=\"11508736\"] \n  39 -> 41 [size =\"11508736\"]\n  40 [size=\"106946560\", alpha=\"0.14\", expect_size=\"32083968\"] \n  40 -> 42 [size =\"32083968\"]\n  40 -> 43 [size =\"32083968\"]\n  40 -> 44 [size =\"32083968\"]\n  41 [size=\"89661440\", alpha=\"0.15\", expect_size=\"26898432\"] \n  41 -> 43 [size =\"26898432\"]\n  42 [size=\"165911893\", alpha=\"0.14\", expect_size=\"49773568\"] \n  42 -> 45 [size =\"49773568\"]\n  42 -> 46 [size =\"49773568\"]\n  43 [size=\"89514667\", alpha=\"0.17\", expect_size=\"26854400\"] \n  44 [size=\"20968107\", alpha=\"0.03\", expect_size=\"6290432\"] \n  44 -> 45 [size =\"6290432\"]\n  44 -> 46 [size =\"6290432\"]\n  45 [size=\"58624000\", alpha=\"0.15\", expect_size=\"17587200\"] \n  45 -> 47 [size =\"17587200\"]\n  45 -> 49 [size =\"17587200\"]\n  46 [size=\"56064000\", alpha=\"0.06\", expect_size=\"16819200\"] \n  46 -> 47 [size =\"16819200\"]\n  46 -> 48 [size =\"16819200\"]\n  47 [size=\"118121813\", alpha=\"0.14\", expect_size=\"35436544\"] \n  47 -> 50 [size =\"35436544\"]\n  48 [size=\"128317440\", alpha=\"0.04\", expect_size=\"38495232\"] \n  49 [size=\"165137067\", alpha=\"0.19\", expect_size=\"49541120\"] \n  49 -> 50 [size =\"49541120\"]\n  50 [size=\"125917867\", alpha=\"0.08\", expect_size=\"37775360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.150.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68684800\", alpha=\"0.04\", expect_size=\"27473920\"] \n  1 -> 35 [size =\"27473920\"]\n  1 -> 39 [size =\"27473920\"]\n  1 -> 40 [size =\"27473920\"]\n  1 -> 41 [size =\"27473920\"]\n  1 -> 44 [size =\"27473920\"]\n  1 -> 47 [size =\"27473920\"]\n  1 -> 50 [size =\"27473920\"]\n  2 [size=\"78732800\", alpha=\"0.15\", expect_size=\"31493120\"] \n  2 -> 37 [size =\"31493120\"]\n  2 -> 42 [size =\"31493120\"]\n  2 -> 44 [size =\"31493120\"]\n  2 -> 45 [size =\"31493120\"]\n  2 -> 46 [size =\"31493120\"]\n  2 -> 47 [size =\"31493120\"]\n  2 -> 50 [size =\"31493120\"]\n  3 [size=\"100121600\", alpha=\"0.10\", expect_size=\"40048640\"] \n  3 -> 38 [size =\"40048640\"]\n  3 -> 39 [size =\"40048640\"]\n  3 -> 42 [size =\"40048640\"]\n  3 -> 47 [size =\"40048640\"]\n  3 -> 48 [size =\"40048640\"]\n  3 -> 49 [size =\"40048640\"]\n  3 -> 50 [size =\"40048640\"]\n  4 [size=\"29987840\", alpha=\"0.20\", expect_size=\"11995136\"] \n  4 -> 31 [size =\"11995136\"]\n  4 -> 39 [size =\"11995136\"]\n  4 -> 47 [size =\"11995136\"]\n  4 -> 50 [size =\"11995136\"]\n  5 [size=\"125882880\", alpha=\"0.06\", expect_size=\"50353152\"] \n  5 -> 32 [size =\"50353152\"]\n  5 -> 38 [size =\"50353152\"]\n  5 -> 41 [size =\"50353152\"]\n  5 -> 42 [size =\"50353152\"]\n  5 -> 47 [size =\"50353152\"]\n  5 -> 50 [size =\"50353152\"]\n  6 [size=\"64870400\", alpha=\"0.11\", expect_size=\"25948160\"] \n  6 -> 35 [size =\"25948160\"]\n  6 -> 41 [size =\"25948160\"]\n  6 -> 44 [size =\"25948160\"]\n  6 -> 46 [size =\"25948160\"]\n  6 -> 48 [size =\"25948160\"]\n  7 [size=\"118789120\", alpha=\"0.18\", expect_size=\"47515648\"] \n  7 -> 31 [size =\"47515648\"]\n  7 -> 35 [size =\"47515648\"]\n  7 -> 37 [size =\"47515648\"]\n  7 -> 39 [size =\"47515648\"]\n  7 -> 41 [size =\"47515648\"]\n  7 -> 43 [size =\"47515648\"]\n  7 -> 44 [size =\"47515648\"]\n  7 -> 46 [size =\"47515648\"]\n  8 [size=\"105840640\", alpha=\"0.02\", expect_size=\"42336256\"] \n  8 -> 31 [size =\"42336256\"]\n  8 -> 33 [size =\"42336256\"]\n  8 -> 35 [size =\"42336256\"]\n  8 -> 41 [size =\"42336256\"]\n  8 -> 44 [size =\"42336256\"]\n  8 -> 45 [size =\"42336256\"]\n  8 -> 46 [size =\"42336256\"]\n  8 -> 47 [size =\"42336256\"]\n  8 -> 50 [size =\"42336256\"]\n  9 [size=\"121062400\", alpha=\"0.14\", expect_size=\"48424960\"] \n  9 -> 33 [size =\"48424960\"]\n  9 -> 34 [size =\"48424960\"]\n  9 -> 39 [size =\"48424960\"]\n  9 -> 40 [size =\"48424960\"]\n  9 -> 42 [size =\"48424960\"]\n  9 -> 43 [size =\"48424960\"]\n  9 -> 46 [size =\"48424960\"]\n  9 -> 47 [size =\"48424960\"]\n  10 [size=\"118504960\", alpha=\"0.17\", expect_size=\"47401984\"] \n  10 -> 34 [size =\"47401984\"]\n  10 -> 35 [size =\"47401984\"]\n  10 -> 39 [size =\"47401984\"]\n  10 -> 41 [size =\"47401984\"]\n  10 -> 42 [size =\"47401984\"]\n  10 -> 43 [size =\"47401984\"]\n  10 -> 47 [size =\"47401984\"]\n  10 -> 50 [size =\"47401984\"]\n  11 [size=\"50398720\", alpha=\"0.10\", expect_size=\"20159488\"] \n  11 -> 31 [size =\"20159488\"]\n  11 -> 34 [size =\"20159488\"]\n  11 -> 42 [size =\"20159488\"]\n  11 -> 43 [size =\"20159488\"]\n  11 -> 49 [size =\"20159488\"]\n  11 -> 50 [size =\"20159488\"]\n  12 [size=\"73512960\", alpha=\"0.04\", expect_size=\"29405184\"] \n  12 -> 34 [size =\"29405184\"]\n  12 -> 34 [size =\"29405184\"]\n  12 -> 42 [size =\"29405184\"]\n  12 -> 43 [size =\"29405184\"]\n  12 -> 44 [size =\"29405184\"]\n  12 -> 48 [size =\"29405184\"]\n  13 [size=\"41715200\", alpha=\"0.18\", expect_size=\"16686080\"] \n  13 -> 31 [size =\"16686080\"]\n  13 -> 33 [size =\"16686080\"]\n  13 -> 37 [size =\"16686080\"]\n  13 -> 43 [size =\"16686080\"]\n  14 [size=\"98332160\", alpha=\"0.08\", expect_size=\"39332864\"] \n  14 -> 32 [size =\"39332864\"]\n  14 -> 35 [size =\"39332864\"]\n  14 -> 38 [size =\"39332864\"]\n  14 -> 42 [size =\"39332864\"]\n  14 -> 43 [size =\"39332864\"]\n  14 -> 48 [size =\"39332864\"]\n  15 [size=\"96721920\", alpha=\"0.03\", expect_size=\"38688768\"] \n  15 -> 34 [size =\"38688768\"]\n  15 -> 35 [size =\"38688768\"]\n  15 -> 38 [size =\"38688768\"]\n  15 -> 40 [size =\"38688768\"]\n  15 -> 41 [size =\"38688768\"]\n  15 -> 42 [size =\"38688768\"]\n  15 -> 43 [size =\"38688768\"]\n  15 -> 44 [size =\"38688768\"]\n  15 -> 46 [size =\"38688768\"]\n  15 -> 47 [size =\"38688768\"]\n  15 -> 48 [size =\"38688768\"]\n  15 -> 49 [size =\"38688768\"]\n  16 [size=\"13834240\", alpha=\"0.17\", expect_size=\"5533696\"] \n  16 -> 37 [size =\"5533696\"]\n  16 -> 39 [size =\"5533696\"]\n  16 -> 40 [size =\"5533696\"]\n  16 -> 41 [size =\"5533696\"]\n  16 -> 43 [size =\"5533696\"]\n  16 -> 46 [size =\"5533696\"]\n  16 -> 47 [size =\"5533696\"]\n  16 -> 49 [size =\"5533696\"]\n  17 [size=\"78016000\", alpha=\"0.08\", expect_size=\"31206400\"] \n  17 -> 35 [size =\"31206400\"]\n  17 -> 36 [size =\"31206400\"]\n  17 -> 39 [size =\"31206400\"]\n  17 -> 42 [size =\"31206400\"]\n  17 -> 43 [size =\"31206400\"]\n  17 -> 44 [size =\"31206400\"]\n  17 -> 45 [size =\"31206400\"]\n  17 -> 46 [size =\"31206400\"]\n  17 -> 47 [size =\"31206400\"]\n  17 -> 50 [size =\"31206400\"]\n  18 [size=\"64924160\", alpha=\"0.09\", expect_size=\"25969664\"] \n  18 -> 33 [size =\"25969664\"]\n  18 -> 39 [size =\"25969664\"]\n  18 -> 40 [size =\"25969664\"]\n  18 -> 44 [size =\"25969664\"]\n  18 -> 46 [size =\"25969664\"]\n  18 -> 47 [size =\"25969664\"]\n  18 -> 49 [size =\"25969664\"]\n  19 [size=\"78952960\", alpha=\"0.16\", expect_size=\"31581184\"] \n  19 -> 32 [size =\"31581184\"]\n  19 -> 43 [size =\"31581184\"]\n  19 -> 46 [size =\"31581184\"]\n  19 -> 49 [size =\"31581184\"]\n  20 [size=\"44428800\", alpha=\"0.07\", expect_size=\"17771520\"] \n  20 -> 36 [size =\"17771520\"]\n  20 -> 42 [size =\"17771520\"]\n  20 -> 43 [size =\"17771520\"]\n  20 -> 45 [size =\"17771520\"]\n  20 -> 46 [size =\"17771520\"]\n  20 -> 49 [size =\"17771520\"]\n  21 [size=\"26403840\", alpha=\"0.07\", expect_size=\"10561536\"] \n  21 -> 33 [size =\"10561536\"]\n  21 -> 34 [size =\"10561536\"]\n  21 -> 37 [size =\"10561536\"]\n  21 -> 39 [size =\"10561536\"]\n  21 -> 43 [size =\"10561536\"]\n  21 -> 48 [size =\"10561536\"]\n  21 -> 49 [size =\"10561536\"]\n  21 -> 50 [size =\"10561536\"]\n  22 [size=\"87587840\", alpha=\"0.19\", expect_size=\"35035136\"] \n  22 -> 31 [size =\"35035136\"]\n  22 -> 34 [size =\"35035136\"]\n  22 -> 49 [size =\"35035136\"]\n  23 [size=\"108707840\", alpha=\"0.05\", expect_size=\"43483136\"] \n  23 -> 42 [size =\"43483136\"]\n  23 -> 49 [size =\"43483136\"]\n  24 [size=\"98918400\", alpha=\"0.14\", expect_size=\"39567360\"] \n  24 -> 34 [size =\"39567360\"]\n  24 -> 40 [size =\"39567360\"]\n  24 -> 41 [size =\"39567360\"]\n  24 -> 42 [size =\"39567360\"]\n  24 -> 44 [size =\"39567360\"]\n  24 -> 46 [size =\"39567360\"]\n  24 -> 47 [size =\"39567360\"]\n  24 -> 50 [size =\"39567360\"]\n  25 [size=\"30878720\", alpha=\"0.02\", expect_size=\"12351488\"] \n  25 -> 31 [size =\"12351488\"]\n  25 -> 34 [size =\"12351488\"]\n  25 -> 39 [size =\"12351488\"]\n  25 -> 44 [size =\"12351488\"]\n  25 -> 47 [size =\"12351488\"]\n  26 [size=\"49006080\", alpha=\"0.19\", expect_size=\"19602432\"] \n  26 -> 31 [size =\"19602432\"]\n  26 -> 36 [size =\"19602432\"]\n  26 -> 38 [size =\"19602432\"]\n  26 -> 43 [size =\"19602432\"]\n  26 -> 45 [size =\"19602432\"]\n  26 -> 48 [size =\"19602432\"]\n  26 -> 50 [size =\"19602432\"]\n  27 [size=\"29391360\", alpha=\"0.14\", expect_size=\"11756544\"] \n  27 -> 31 [size =\"11756544\"]\n  27 -> 33 [size =\"11756544\"]\n  27 -> 38 [size =\"11756544\"]\n  27 -> 39 [size =\"11756544\"]\n  27 -> 48 [size =\"11756544\"]\n  27 -> 48 [size =\"11756544\"]\n  27 -> 50 [size =\"11756544\"]\n  28 [size=\"76646400\", alpha=\"0.05\", expect_size=\"30658560\"] \n  28 -> 31 [size =\"30658560\"]\n  28 -> 33 [size =\"30658560\"]\n  28 -> 34 [size =\"30658560\"]\n  28 -> 36 [size =\"30658560\"]\n  28 -> 39 [size =\"30658560\"]\n  28 -> 48 [size =\"30658560\"]\n  28 -> 50 [size =\"30658560\"]\n  29 [size=\"13939200\", alpha=\"0.14\", expect_size=\"5575680\"] \n  29 -> 34 [size =\"5575680\"]\n  29 -> 35 [size =\"5575680\"]\n  29 -> 37 [size =\"5575680\"]\n  29 -> 39 [size =\"5575680\"]\n  29 -> 42 [size =\"5575680\"]\n  29 -> 43 [size =\"5575680\"]\n  29 -> 46 [size =\"5575680\"]\n  29 -> 48 [size =\"5575680\"]\n  30 [size=\"107092480\", alpha=\"0.01\", expect_size=\"42836992\"] \n  30 -> 34 [size =\"42836992\"]\n  30 -> 41 [size =\"42836992\"]\n  30 -> 46 [size =\"42836992\"]\n  30 -> 47 [size =\"42836992\"]\n  30 -> 50 [size =\"42836992\"]\n  31 [size=\"28935680\", alpha=\"0.14\", expect_size=\"11574272\"] \n  32 [size=\"70976000\", alpha=\"0.17\", expect_size=\"28390400\"] \n  33 [size=\"62914560\", alpha=\"0.05\", expect_size=\"25165824\"] \n  34 [size=\"91760640\", alpha=\"0.08\", expect_size=\"36704256\"] \n  35 [size=\"56437760\", alpha=\"0.05\", expect_size=\"22575104\"] \n  36 [size=\"69719040\", alpha=\"0.02\", expect_size=\"27887616\"] \n  37 [size=\"65408000\", alpha=\"0.10\", expect_size=\"26163200\"] \n  38 [size=\"31219200\", alpha=\"0.07\", expect_size=\"12487680\"] \n  39 [size=\"59888640\", alpha=\"0.15\", expect_size=\"23955456\"] \n  40 [size=\"23444480\", alpha=\"0.08\", expect_size=\"9377792\"] \n  41 [size=\"27284480\", alpha=\"0.04\", expect_size=\"10913792\"] \n  42 [size=\"108705280\", alpha=\"0.12\", expect_size=\"43482112\"] \n  43 [size=\"92180480\", alpha=\"0.16\", expect_size=\"36872192\"] \n  44 [size=\"124282880\", alpha=\"0.15\", expect_size=\"49713152\"] \n  45 [size=\"54312960\", alpha=\"0.17\", expect_size=\"21725184\"] \n  46 [size=\"83850240\", alpha=\"0.05\", expect_size=\"33540096\"] \n  47 [size=\"95659520\", alpha=\"0.16\", expect_size=\"38263808\"] \n  48 [size=\"36679680\", alpha=\"0.17\", expect_size=\"14671872\"] \n  49 [size=\"76700160\", alpha=\"0.19\", expect_size=\"30680064\"] \n  50 [size=\"45634560\", alpha=\"0.16\", expect_size=\"18253824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.151.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65284096\", alpha=\"0.01\", expect_size=\"32642048\"] \n  1 -> 31 [size =\"32642048\"]\n  1 -> 33 [size =\"32642048\"]\n  1 -> 37 [size =\"32642048\"]\n  1 -> 38 [size =\"32642048\"]\n  1 -> 39 [size =\"32642048\"]\n  1 -> 41 [size =\"32642048\"]\n  1 -> 42 [size =\"32642048\"]\n  1 -> 43 [size =\"32642048\"]\n  1 -> 44 [size =\"32642048\"]\n  1 -> 49 [size =\"32642048\"]\n  2 [size=\"10768384\", alpha=\"0.07\", expect_size=\"5384192\"] \n  2 -> 31 [size =\"5384192\"]\n  2 -> 33 [size =\"5384192\"]\n  2 -> 34 [size =\"5384192\"]\n  2 -> 35 [size =\"5384192\"]\n  2 -> 37 [size =\"5384192\"]\n  2 -> 43 [size =\"5384192\"]\n  2 -> 45 [size =\"5384192\"]\n  2 -> 46 [size =\"5384192\"]\n  2 -> 47 [size =\"5384192\"]\n  3 [size=\"43950080\", alpha=\"0.10\", expect_size=\"21975040\"] \n  3 -> 31 [size =\"21975040\"]\n  3 -> 33 [size =\"21975040\"]\n  3 -> 37 [size =\"21975040\"]\n  3 -> 38 [size =\"21975040\"]\n  3 -> 42 [size =\"21975040\"]\n  3 -> 44 [size =\"21975040\"]\n  3 -> 49 [size =\"21975040\"]\n  4 [size=\"102406144\", alpha=\"0.12\", expect_size=\"51203072\"] \n  4 -> 33 [size =\"51203072\"]\n  4 -> 35 [size =\"51203072\"]\n  4 -> 37 [size =\"51203072\"]\n  4 -> 42 [size =\"51203072\"]\n  4 -> 44 [size =\"51203072\"]\n  4 -> 47 [size =\"51203072\"]\n  4 -> 48 [size =\"51203072\"]\n  4 -> 49 [size =\"51203072\"]\n  4 -> 50 [size =\"51203072\"]\n  5 [size=\"99917824\", alpha=\"0.13\", expect_size=\"49958912\"] \n  5 -> 31 [size =\"49958912\"]\n  5 -> 34 [size =\"49958912\"]\n  5 -> 36 [size =\"49958912\"]\n  5 -> 37 [size =\"49958912\"]\n  5 -> 41 [size =\"49958912\"]\n  5 -> 42 [size =\"49958912\"]\n  5 -> 46 [size =\"49958912\"]\n  5 -> 47 [size =\"49958912\"]\n  5 -> 49 [size =\"49958912\"]\n  6 [size=\"102717440\", alpha=\"0.18\", expect_size=\"51358720\"] \n  6 -> 33 [size =\"51358720\"]\n  6 -> 37 [size =\"51358720\"]\n  6 -> 42 [size =\"51358720\"]\n  6 -> 43 [size =\"51358720\"]\n  6 -> 49 [size =\"51358720\"]\n  7 [size=\"15429632\", alpha=\"0.16\", expect_size=\"7714816\"] \n  7 -> 37 [size =\"7714816\"]\n  7 -> 42 [size =\"7714816\"]\n  7 -> 42 [size =\"7714816\"]\n  7 -> 43 [size =\"7714816\"]\n  7 -> 45 [size =\"7714816\"]\n  8 [size=\"14473216\", alpha=\"0.12\", expect_size=\"7236608\"] \n  8 -> 32 [size =\"7236608\"]\n  8 -> 33 [size =\"7236608\"]\n  8 -> 34 [size =\"7236608\"]\n  8 -> 44 [size =\"7236608\"]\n  8 -> 45 [size =\"7236608\"]\n  8 -> 47 [size =\"7236608\"]\n  9 [size=\"43616256\", alpha=\"0.18\", expect_size=\"21808128\"] \n  9 -> 33 [size =\"21808128\"]\n  9 -> 43 [size =\"21808128\"]\n  9 -> 44 [size =\"21808128\"]\n  9 -> 47 [size =\"21808128\"]\n  9 -> 48 [size =\"21808128\"]\n  9 -> 49 [size =\"21808128\"]\n  10 [size=\"14301184\", alpha=\"0.05\", expect_size=\"7150592\"] \n  10 -> 31 [size =\"7150592\"]\n  10 -> 33 [size =\"7150592\"]\n  10 -> 37 [size =\"7150592\"]\n  10 -> 42 [size =\"7150592\"]\n  10 -> 47 [size =\"7150592\"]\n  10 -> 48 [size =\"7150592\"]\n  10 -> 49 [size =\"7150592\"]\n  10 -> 50 [size =\"7150592\"]\n  11 [size=\"38100992\", alpha=\"0.12\", expect_size=\"19050496\"] \n  11 -> 34 [size =\"19050496\"]\n  12 [size=\"44517376\", alpha=\"0.19\", expect_size=\"22258688\"] \n  12 -> 33 [size =\"22258688\"]\n  12 -> 35 [size =\"22258688\"]\n  12 -> 41 [size =\"22258688\"]\n  12 -> 43 [size =\"22258688\"]\n  12 -> 46 [size =\"22258688\"]\n  12 -> 47 [size =\"22258688\"]\n  12 -> 49 [size =\"22258688\"]\n  13 [size=\"75206656\", alpha=\"0.18\", expect_size=\"37603328\"] \n  13 -> 31 [size =\"37603328\"]\n  13 -> 33 [size =\"37603328\"]\n  13 -> 34 [size =\"37603328\"]\n  13 -> 35 [size =\"37603328\"]\n  13 -> 36 [size =\"37603328\"]\n  13 -> 41 [size =\"37603328\"]\n  13 -> 45 [size =\"37603328\"]\n  13 -> 47 [size =\"37603328\"]\n  14 [size=\"28442624\", alpha=\"0.04\", expect_size=\"14221312\"] \n  14 -> 31 [size =\"14221312\"]\n  14 -> 33 [size =\"14221312\"]\n  14 -> 38 [size =\"14221312\"]\n  14 -> 45 [size =\"14221312\"]\n  14 -> 46 [size =\"14221312\"]\n  14 -> 47 [size =\"14221312\"]\n  15 [size=\"84733952\", alpha=\"0.07\", expect_size=\"42366976\"] \n  15 -> 31 [size =\"42366976\"]\n  15 -> 33 [size =\"42366976\"]\n  15 -> 35 [size =\"42366976\"]\n  15 -> 38 [size =\"42366976\"]\n  15 -> 41 [size =\"42366976\"]\n  15 -> 42 [size =\"42366976\"]\n  15 -> 43 [size =\"42366976\"]\n  15 -> 45 [size =\"42366976\"]\n  15 -> 46 [size =\"42366976\"]\n  15 -> 50 [size =\"42366976\"]\n  16 [size=\"53440512\", alpha=\"0.09\", expect_size=\"26720256\"] \n  16 -> 31 [size =\"26720256\"]\n  16 -> 33 [size =\"26720256\"]\n  16 -> 35 [size =\"26720256\"]\n  16 -> 37 [size =\"26720256\"]\n  16 -> 38 [size =\"26720256\"]\n  16 -> 41 [size =\"26720256\"]\n  16 -> 42 [size =\"26720256\"]\n  16 -> 48 [size =\"26720256\"]\n  17 [size=\"41842688\", alpha=\"0.02\", expect_size=\"20921344\"] \n  17 -> 35 [size =\"20921344\"]\n  17 -> 37 [size =\"20921344\"]\n  17 -> 41 [size =\"20921344\"]\n  17 -> 42 [size =\"20921344\"]\n  17 -> 45 [size =\"20921344\"]\n  18 [size=\"23517184\", alpha=\"0.03\", expect_size=\"11758592\"] \n  18 -> 35 [size =\"11758592\"]\n  18 -> 37 [size =\"11758592\"]\n  18 -> 41 [size =\"11758592\"]\n  18 -> 43 [size =\"11758592\"]\n  18 -> 45 [size =\"11758592\"]\n  18 -> 46 [size =\"11758592\"]\n  18 -> 47 [size =\"11758592\"]\n  19 [size=\"79282176\", alpha=\"0.08\", expect_size=\"39641088\"] \n  19 -> 31 [size =\"39641088\"]\n  19 -> 35 [size =\"39641088\"]\n  19 -> 42 [size =\"39641088\"]\n  19 -> 43 [size =\"39641088\"]\n  19 -> 44 [size =\"39641088\"]\n  19 -> 46 [size =\"39641088\"]\n  19 -> 47 [size =\"39641088\"]\n  19 -> 48 [size =\"39641088\"]\n  20 [size=\"70635520\", alpha=\"0.04\", expect_size=\"35317760\"] \n  20 -> 34 [size =\"35317760\"]\n  20 -> 37 [size =\"35317760\"]\n  20 -> 43 [size =\"35317760\"]\n  20 -> 45 [size =\"35317760\"]\n  20 -> 46 [size =\"35317760\"]\n  20 -> 46 [size =\"35317760\"]\n  20 -> 47 [size =\"35317760\"]\n  20 -> 49 [size =\"35317760\"]\n  20 -> 50 [size =\"35317760\"]\n  21 [size=\"95938560\", alpha=\"0.12\", expect_size=\"47969280\"] \n  21 -> 31 [size =\"47969280\"]\n  21 -> 33 [size =\"47969280\"]\n  21 -> 34 [size =\"47969280\"]\n  21 -> 37 [size =\"47969280\"]\n  21 -> 40 [size =\"47969280\"]\n  21 -> 41 [size =\"47969280\"]\n  21 -> 42 [size =\"47969280\"]\n  21 -> 45 [size =\"47969280\"]\n  21 -> 46 [size =\"47969280\"]\n  22 [size=\"56643584\", alpha=\"0.19\", expect_size=\"28321792\"] \n  22 -> 31 [size =\"28321792\"]\n  22 -> 33 [size =\"28321792\"]\n  22 -> 34 [size =\"28321792\"]\n  22 -> 36 [size =\"28321792\"]\n  22 -> 37 [size =\"28321792\"]\n  22 -> 41 [size =\"28321792\"]\n  22 -> 43 [size =\"28321792\"]\n  22 -> 44 [size =\"28321792\"]\n  22 -> 46 [size =\"28321792\"]\n  22 -> 50 [size =\"28321792\"]\n  23 [size=\"53866496\", alpha=\"0.14\", expect_size=\"26933248\"] \n  23 -> 31 [size =\"26933248\"]\n  23 -> 33 [size =\"26933248\"]\n  23 -> 34 [size =\"26933248\"]\n  23 -> 41 [size =\"26933248\"]\n  23 -> 43 [size =\"26933248\"]\n  23 -> 45 [size =\"26933248\"]\n  23 -> 46 [size =\"26933248\"]\n  24 [size=\"42870784\", alpha=\"0.08\", expect_size=\"21435392\"] \n  24 -> 31 [size =\"21435392\"]\n  24 -> 34 [size =\"21435392\"]\n  24 -> 34 [size =\"21435392\"]\n  24 -> 37 [size =\"21435392\"]\n  24 -> 41 [size =\"21435392\"]\n  24 -> 42 [size =\"21435392\"]\n  24 -> 47 [size =\"21435392\"]\n  24 -> 48 [size =\"21435392\"]\n  24 -> 49 [size =\"21435392\"]\n  25 [size=\"61652992\", alpha=\"0.01\", expect_size=\"30826496\"] \n  25 -> 31 [size =\"30826496\"]\n  25 -> 33 [size =\"30826496\"]\n  25 -> 34 [size =\"30826496\"]\n  25 -> 36 [size =\"30826496\"]\n  25 -> 37 [size =\"30826496\"]\n  25 -> 38 [size =\"30826496\"]\n  25 -> 41 [size =\"30826496\"]\n  25 -> 42 [size =\"30826496\"]\n  25 -> 45 [size =\"30826496\"]\n  25 -> 47 [size =\"30826496\"]\n  26 [size=\"95340544\", alpha=\"0.14\", expect_size=\"47670272\"] \n  26 -> 34 [size =\"47670272\"]\n  26 -> 41 [size =\"47670272\"]\n  26 -> 42 [size =\"47670272\"]\n  26 -> 45 [size =\"47670272\"]\n  26 -> 48 [size =\"47670272\"]\n  27 [size=\"41873408\", alpha=\"0.08\", expect_size=\"20936704\"] \n  27 -> 35 [size =\"20936704\"]\n  27 -> 41 [size =\"20936704\"]\n  27 -> 42 [size =\"20936704\"]\n  27 -> 43 [size =\"20936704\"]\n  27 -> 46 [size =\"20936704\"]\n  27 -> 48 [size =\"20936704\"]\n  28 [size=\"53284864\", alpha=\"0.03\", expect_size=\"26642432\"] \n  28 -> 31 [size =\"26642432\"]\n  28 -> 37 [size =\"26642432\"]\n  28 -> 39 [size =\"26642432\"]\n  28 -> 41 [size =\"26642432\"]\n  28 -> 43 [size =\"26642432\"]\n  28 -> 46 [size =\"26642432\"]\n  29 [size=\"68636672\", alpha=\"0.04\", expect_size=\"34318336\"] \n  29 -> 33 [size =\"34318336\"]\n  29 -> 35 [size =\"34318336\"]\n  29 -> 41 [size =\"34318336\"]\n  29 -> 41 [size =\"34318336\"]\n  29 -> 42 [size =\"34318336\"]\n  29 -> 43 [size =\"34318336\"]\n  29 -> 47 [size =\"34318336\"]\n  30 [size=\"11319296\", alpha=\"0.07\", expect_size=\"5659648\"] \n  30 -> 33 [size =\"5659648\"]\n  30 -> 35 [size =\"5659648\"]\n  30 -> 41 [size =\"5659648\"]\n  30 -> 43 [size =\"5659648\"]\n  30 -> 49 [size =\"5659648\"]\n  30 -> 50 [size =\"5659648\"]\n  31 [size=\"29614080\", alpha=\"0.15\", expect_size=\"14807040\"] \n  32 [size=\"83947520\", alpha=\"0.11\", expect_size=\"41973760\"] \n  33 [size=\"80230400\", alpha=\"0.00\", expect_size=\"40115200\"] \n  34 [size=\"51927040\", alpha=\"0.13\", expect_size=\"25963520\"] \n  35 [size=\"90959872\", alpha=\"0.02\", expect_size=\"45479936\"] \n  36 [size=\"98019328\", alpha=\"0.20\", expect_size=\"49009664\"] \n  37 [size=\"70963200\", alpha=\"0.04\", expect_size=\"35481600\"] \n  38 [size=\"14737408\", alpha=\"0.12\", expect_size=\"7368704\"] \n  39 [size=\"27701248\", alpha=\"0.14\", expect_size=\"13850624\"] \n  40 [size=\"48615424\", alpha=\"0.08\", expect_size=\"24307712\"] \n  41 [size=\"81293312\", alpha=\"0.01\", expect_size=\"40646656\"] \n  42 [size=\"58984448\", alpha=\"0.04\", expect_size=\"29492224\"] \n  43 [size=\"15718400\", alpha=\"0.15\", expect_size=\"7859200\"] \n  44 [size=\"16218112\", alpha=\"0.14\", expect_size=\"8109056\"] \n  45 [size=\"78442496\", alpha=\"0.03\", expect_size=\"39221248\"] \n  46 [size=\"87898112\", alpha=\"0.11\", expect_size=\"43949056\"] \n  47 [size=\"87541760\", alpha=\"0.05\", expect_size=\"43770880\"] \n  48 [size=\"14356480\", alpha=\"0.08\", expect_size=\"7178240\"] \n  49 [size=\"70121472\", alpha=\"0.04\", expect_size=\"35060736\"] \n  50 [size=\"40515584\", alpha=\"0.19\", expect_size=\"20257792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.152.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109124267\", alpha=\"0.06\", expect_size=\"32737280\"] \n  1 -> 8 [size =\"32737280\"]\n  2 [size=\"36116480\", alpha=\"0.19\", expect_size=\"10834944\"] \n  2 -> 6 [size =\"10834944\"]\n  2 -> 9 [size =\"10834944\"]\n  2 -> 10 [size =\"10834944\"]\n  3 [size=\"29644800\", alpha=\"0.10\", expect_size=\"8893440\"] \n  3 -> 6 [size =\"8893440\"]\n  4 [size=\"90286080\", alpha=\"0.04\", expect_size=\"27085824\"] \n  4 -> 6 [size =\"27085824\"]\n  4 -> 7 [size =\"27085824\"]\n  4 -> 9 [size =\"27085824\"]\n  5 [size=\"63989760\", alpha=\"0.16\", expect_size=\"19196928\"] \n  5 -> 7 [size =\"19196928\"]\n  5 -> 7 [size =\"19196928\"]\n  5 -> 8 [size =\"19196928\"]\n  6 [size=\"96184320\", alpha=\"0.15\", expect_size=\"28855296\"] \n  6 -> 11 [size =\"28855296\"]\n  6 -> 12 [size =\"28855296\"]\n  6 -> 13 [size =\"28855296\"]\n  6 -> 14 [size =\"28855296\"]\n  6 -> 15 [size =\"28855296\"]\n  7 [size=\"114988373\", alpha=\"0.03\", expect_size=\"34496512\"] \n  7 -> 11 [size =\"34496512\"]\n  7 -> 15 [size =\"34496512\"]\n  8 [size=\"101099520\", alpha=\"0.05\", expect_size=\"30329856\"] \n  8 -> 11 [size =\"30329856\"]\n  8 -> 12 [size =\"30329856\"]\n  8 -> 13 [size =\"30329856\"]\n  8 -> 14 [size =\"30329856\"]\n  9 [size=\"130228907\", alpha=\"0.04\", expect_size=\"39068672\"] \n  9 -> 14 [size =\"39068672\"]\n  10 [size=\"42738347\", alpha=\"0.12\", expect_size=\"12821504\"] \n  10 -> 13 [size =\"12821504\"]\n  10 -> 15 [size =\"12821504\"]\n  11 [size=\"37171200\", alpha=\"0.12\", expect_size=\"11151360\"] \n  11 -> 16 [size =\"11151360\"]\n  11 -> 20 [size =\"11151360\"]\n  11 -> 22 [size =\"11151360\"]\n  12 [size=\"83845120\", alpha=\"0.17\", expect_size=\"25153536\"] \n  12 -> 19 [size =\"25153536\"]\n  12 -> 20 [size =\"25153536\"]\n  12 -> 22 [size =\"25153536\"]\n  12 -> 23 [size =\"25153536\"]\n  13 [size=\"72789333\", alpha=\"0.17\", expect_size=\"21836800\"] \n  13 -> 17 [size =\"21836800\"]\n  13 -> 19 [size =\"21836800\"]\n  13 -> 22 [size =\"21836800\"]\n  13 -> 23 [size =\"21836800\"]\n  14 [size=\"152166400\", alpha=\"0.01\", expect_size=\"45649920\"] \n  14 -> 16 [size =\"45649920\"]\n  14 -> 17 [size =\"45649920\"]\n  14 -> 18 [size =\"45649920\"]\n  14 -> 21 [size =\"45649920\"]\n  15 [size=\"25702400\", alpha=\"0.06\", expect_size=\"7710720\"] \n  15 -> 16 [size =\"7710720\"]\n  15 -> 19 [size =\"7710720\"]\n  15 -> 20 [size =\"7710720\"]\n  15 -> 21 [size =\"7710720\"]\n  16 [size=\"148923733\", alpha=\"0.07\", expect_size=\"44677120\"] \n  17 [size=\"112704853\", alpha=\"0.09\", expect_size=\"33811456\"] \n  17 -> 28 [size =\"33811456\"]\n  17 -> 31 [size =\"33811456\"]\n  18 [size=\"139055787\", alpha=\"0.12\", expect_size=\"41716736\"] \n  18 -> 24 [size =\"41716736\"]\n  18 -> 27 [size =\"41716736\"]\n  18 -> 28 [size =\"41716736\"]\n  18 -> 30 [size =\"41716736\"]\n  19 [size=\"20520960\", alpha=\"0.15\", expect_size=\"6156288\"] \n  19 -> 27 [size =\"6156288\"]\n  19 -> 27 [size =\"6156288\"]\n  19 -> 28 [size =\"6156288\"]\n  19 -> 29 [size =\"6156288\"]\n  20 [size=\"49315840\", alpha=\"0.19\", expect_size=\"14794752\"] \n  20 -> 28 [size =\"14794752\"]\n  20 -> 29 [size =\"14794752\"]\n  21 [size=\"143564800\", alpha=\"0.16\", expect_size=\"43069440\"] \n  21 -> 25 [size =\"43069440\"]\n  21 -> 31 [size =\"43069440\"]\n  22 [size=\"84394667\", alpha=\"0.15\", expect_size=\"25318400\"] \n  22 -> 24 [size =\"25318400\"]\n  22 -> 26 [size =\"25318400\"]\n  22 -> 29 [size =\"25318400\"]\n  22 -> 30 [size =\"25318400\"]\n  23 [size=\"56927573\", alpha=\"0.15\", expect_size=\"17078272\"] \n  23 -> 25 [size =\"17078272\"]\n  23 -> 27 [size =\"17078272\"]\n  23 -> 29 [size =\"17078272\"]\n  23 -> 30 [size =\"17078272\"]\n  24 [size=\"34737493\", alpha=\"0.05\", expect_size=\"10421248\"] \n  24 -> 32 [size =\"10421248\"]\n  25 [size=\"44503040\", alpha=\"0.00\", expect_size=\"13350912\"] \n  25 -> 34 [size =\"13350912\"]\n  25 -> 35 [size =\"13350912\"]\n  26 [size=\"87992320\", alpha=\"0.06\", expect_size=\"26397696\"] \n  26 -> 32 [size =\"26397696\"]\n  26 -> 33 [size =\"26397696\"]\n  27 [size=\"139816960\", alpha=\"0.04\", expect_size=\"41945088\"] \n  27 -> 33 [size =\"41945088\"]\n  27 -> 34 [size =\"41945088\"]\n  28 [size=\"49694720\", alpha=\"0.12\", expect_size=\"14908416\"] \n  28 -> 34 [size =\"14908416\"]\n  28 -> 37 [size =\"14908416\"]\n  29 [size=\"144322560\", alpha=\"0.15\", expect_size=\"43296768\"] \n  29 -> 36 [size =\"43296768\"]\n  30 [size=\"102246400\", alpha=\"0.02\", expect_size=\"30673920\"] \n  30 -> 33 [size =\"30673920\"]\n  30 -> 36 [size =\"30673920\"]\n  31 [size=\"97979733\", alpha=\"0.10\", expect_size=\"29393920\"] \n  31 -> 32 [size =\"29393920\"]\n  31 -> 34 [size =\"29393920\"]\n  31 -> 36 [size =\"29393920\"]\n  31 -> 37 [size =\"29393920\"]\n  32 [size=\"65884160\", alpha=\"0.07\", expect_size=\"19765248\"] \n  32 -> 38 [size =\"19765248\"]\n  32 -> 39 [size =\"19765248\"]\n  32 -> 42 [size =\"19765248\"]\n  33 [size=\"24603307\", alpha=\"0.11\", expect_size=\"7380992\"] \n  33 -> 40 [size =\"7380992\"]\n  33 -> 41 [size =\"7380992\"]\n  33 -> 42 [size =\"7380992\"]\n  34 [size=\"143595520\", alpha=\"0.13\", expect_size=\"43078656\"] \n  34 -> 38 [size =\"43078656\"]\n  34 -> 39 [size =\"43078656\"]\n  34 -> 41 [size =\"43078656\"]\n  35 [size=\"23814827\", alpha=\"0.15\", expect_size=\"7144448\"] \n  35 -> 40 [size =\"7144448\"]\n  36 [size=\"26344107\", alpha=\"0.14\", expect_size=\"7903232\"] \n  37 [size=\"72611840\", alpha=\"0.05\", expect_size=\"21783552\"] \n  37 -> 39 [size =\"21783552\"]\n  37 -> 41 [size =\"21783552\"]\n  38 [size=\"102843733\", alpha=\"0.12\", expect_size=\"30853120\"] \n  38 -> 43 [size =\"30853120\"]\n  38 -> 47 [size =\"30853120\"]\n  39 [size=\"43376640\", alpha=\"0.19\", expect_size=\"13012992\"] \n  39 -> 46 [size =\"13012992\"]\n  39 -> 48 [size =\"13012992\"]\n  40 [size=\"164249600\", alpha=\"0.10\", expect_size=\"49274880\"] \n  40 -> 43 [size =\"49274880\"]\n  40 -> 44 [size =\"49274880\"]\n  40 -> 45 [size =\"49274880\"]\n  40 -> 48 [size =\"49274880\"]\n  41 [size=\"18872320\", alpha=\"0.17\", expect_size=\"5661696\"] \n  41 -> 43 [size =\"5661696\"]\n  41 -> 44 [size =\"5661696\"]\n  42 [size=\"98798933\", alpha=\"0.12\", expect_size=\"29639680\"] \n  42 -> 47 [size =\"29639680\"]\n  43 [size=\"155825493\", alpha=\"0.13\", expect_size=\"46747648\"] \n  44 [size=\"87982080\", alpha=\"0.16\", expect_size=\"26394624\"] \n  44 -> 49 [size =\"26394624\"]\n  45 [size=\"29958827\", alpha=\"0.02\", expect_size=\"8987648\"] \n  46 [size=\"147275093\", alpha=\"0.17\", expect_size=\"44182528\"] \n  46 -> 49 [size =\"44182528\"]\n  46 -> 50 [size =\"44182528\"]\n  47 [size=\"99515733\", alpha=\"0.08\", expect_size=\"29854720\"] \n  47 -> 50 [size =\"29854720\"]\n  48 [size=\"139192320\", alpha=\"0.02\", expect_size=\"41757696\"] \n  48 -> 49 [size =\"41757696\"]\n  48 -> 50 [size =\"41757696\"]\n  49 [size=\"73321813\", alpha=\"0.13\", expect_size=\"21996544\"] \n  50 [size=\"62235307\", alpha=\"0.15\", expect_size=\"18670592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.153.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80458240\", alpha=\"0.01\", expect_size=\"32183296\"] \n  1 -> 13 [size =\"32183296\"]\n  2 [size=\"85667840\", alpha=\"0.06\", expect_size=\"34267136\"] \n  2 -> 9 [size =\"34267136\"]\n  2 -> 11 [size =\"34267136\"]\n  2 -> 12 [size =\"34267136\"]\n  2 -> 13 [size =\"34267136\"]\n  2 -> 14 [size =\"34267136\"]\n  3 [size=\"120051200\", alpha=\"0.08\", expect_size=\"48020480\"] \n  3 -> 8 [size =\"48020480\"]\n  3 -> 10 [size =\"48020480\"]\n  3 -> 13 [size =\"48020480\"]\n  3 -> 14 [size =\"48020480\"]\n  4 [size=\"75133440\", alpha=\"0.10\", expect_size=\"30053376\"] \n  4 -> 7 [size =\"30053376\"]\n  4 -> 10 [size =\"30053376\"]\n  4 -> 11 [size =\"30053376\"]\n  4 -> 14 [size =\"30053376\"]\n  5 [size=\"52270080\", alpha=\"0.02\", expect_size=\"20908032\"] \n  5 -> 8 [size =\"20908032\"]\n  5 -> 10 [size =\"20908032\"]\n  5 -> 11 [size =\"20908032\"]\n  5 -> 13 [size =\"20908032\"]\n  6 [size=\"14935040\", alpha=\"0.00\", expect_size=\"5974016\"] \n  6 -> 8 [size =\"5974016\"]\n  6 -> 11 [size =\"5974016\"]\n  6 -> 12 [size =\"5974016\"]\n  6 -> 14 [size =\"5974016\"]\n  7 [size=\"93007360\", alpha=\"0.15\", expect_size=\"37202944\"] \n  7 -> 19 [size =\"37202944\"]\n  7 -> 20 [size =\"37202944\"]\n  8 [size=\"105264640\", alpha=\"0.01\", expect_size=\"42105856\"] \n  8 -> 16 [size =\"42105856\"]\n  8 -> 20 [size =\"42105856\"]\n  8 -> 21 [size =\"42105856\"]\n  9 [size=\"93760000\", alpha=\"0.13\", expect_size=\"37504000\"] \n  9 -> 15 [size =\"37504000\"]\n  9 -> 18 [size =\"37504000\"]\n  9 -> 20 [size =\"37504000\"]\n  9 -> 21 [size =\"37504000\"]\n  10 [size=\"129361920\", alpha=\"0.20\", expect_size=\"51744768\"] \n  10 -> 17 [size =\"51744768\"]\n  11 [size=\"129674240\", alpha=\"0.15\", expect_size=\"51869696\"] \n  11 -> 17 [size =\"51869696\"]\n  11 -> 20 [size =\"51869696\"]\n  11 -> 21 [size =\"51869696\"]\n  12 [size=\"16343040\", alpha=\"0.03\", expect_size=\"6537216\"] \n  12 -> 20 [size =\"6537216\"]\n  12 -> 21 [size =\"6537216\"]\n  12 -> 22 [size =\"6537216\"]\n  13 [size=\"51737600\", alpha=\"0.13\", expect_size=\"20695040\"] \n  14 [size=\"97820160\", alpha=\"0.09\", expect_size=\"39128064\"] \n  14 -> 19 [size =\"39128064\"]\n  15 [size=\"41141760\", alpha=\"0.17\", expect_size=\"16456704\"] \n  15 -> 23 [size =\"16456704\"]\n  15 -> 24 [size =\"16456704\"]\n  15 -> 26 [size =\"16456704\"]\n  15 -> 27 [size =\"16456704\"]\n  16 [size=\"54254080\", alpha=\"0.16\", expect_size=\"21701632\"] \n  16 -> 23 [size =\"21701632\"]\n  16 -> 24 [size =\"21701632\"]\n  16 -> 26 [size =\"21701632\"]\n  16 -> 28 [size =\"21701632\"]\n  17 [size=\"54364160\", alpha=\"0.06\", expect_size=\"21745664\"] \n  17 -> 24 [size =\"21745664\"]\n  17 -> 28 [size =\"21745664\"]\n  17 -> 29 [size =\"21745664\"]\n  18 [size=\"27184640\", alpha=\"0.11\", expect_size=\"10873856\"] \n  19 [size=\"34334720\", alpha=\"0.12\", expect_size=\"13733888\"] \n  19 -> 23 [size =\"13733888\"]\n  19 -> 25 [size =\"13733888\"]\n  19 -> 26 [size =\"13733888\"]\n  19 -> 28 [size =\"13733888\"]\n  20 [size=\"111439360\", alpha=\"0.00\", expect_size=\"44575744\"] \n  20 -> 23 [size =\"44575744\"]\n  20 -> 28 [size =\"44575744\"]\n  20 -> 29 [size =\"44575744\"]\n  21 [size=\"109201920\", alpha=\"0.20\", expect_size=\"43680768\"] \n  21 -> 23 [size =\"43680768\"]\n  21 -> 26 [size =\"43680768\"]\n  21 -> 28 [size =\"43680768\"]\n  22 [size=\"77120000\", alpha=\"0.12\", expect_size=\"30848000\"] \n  22 -> 23 [size =\"30848000\"]\n  22 -> 26 [size =\"30848000\"]\n  22 -> 28 [size =\"30848000\"]\n  22 -> 29 [size =\"30848000\"]\n  23 [size=\"93998080\", alpha=\"0.02\", expect_size=\"37599232\"] \n  23 -> 32 [size =\"37599232\"]\n  23 -> 33 [size =\"37599232\"]\n  23 -> 34 [size =\"37599232\"]\n  23 -> 35 [size =\"37599232\"]\n  24 [size=\"50639360\", alpha=\"0.03\", expect_size=\"20255744\"] \n  24 -> 30 [size =\"20255744\"]\n  24 -> 32 [size =\"20255744\"]\n  24 -> 34 [size =\"20255744\"]\n  24 -> 35 [size =\"20255744\"]\n  25 [size=\"106452480\", alpha=\"0.10\", expect_size=\"42580992\"] \n  25 -> 30 [size =\"42580992\"]\n  25 -> 32 [size =\"42580992\"]\n  25 -> 34 [size =\"42580992\"]\n  26 [size=\"90759680\", alpha=\"0.18\", expect_size=\"36303872\"] \n  26 -> 30 [size =\"36303872\"]\n  26 -> 31 [size =\"36303872\"]\n  26 -> 33 [size =\"36303872\"]\n  27 [size=\"68848640\", alpha=\"0.19\", expect_size=\"27539456\"] \n  27 -> 31 [size =\"27539456\"]\n  28 [size=\"105484800\", alpha=\"0.16\", expect_size=\"42193920\"] \n  28 -> 30 [size =\"42193920\"]\n  29 [size=\"53201920\", alpha=\"0.06\", expect_size=\"21280768\"] \n  29 -> 30 [size =\"21280768\"]\n  29 -> 31 [size =\"21280768\"]\n  29 -> 33 [size =\"21280768\"]\n  29 -> 35 [size =\"21280768\"]\n  30 [size=\"122816000\", alpha=\"0.16\", expect_size=\"49126400\"] \n  30 -> 38 [size =\"49126400\"]\n  30 -> 40 [size =\"49126400\"]\n  30 -> 41 [size =\"49126400\"]\n  31 [size=\"123397120\", alpha=\"0.06\", expect_size=\"49358848\"] \n  32 [size=\"122298880\", alpha=\"0.17\", expect_size=\"48919552\"] \n  32 -> 36 [size =\"48919552\"]\n  32 -> 37 [size =\"48919552\"]\n  32 -> 39 [size =\"48919552\"]\n  32 -> 40 [size =\"48919552\"]\n  32 -> 41 [size =\"48919552\"]\n  33 [size=\"74119680\", alpha=\"0.14\", expect_size=\"29647872\"] \n  33 -> 41 [size =\"29647872\"]\n  34 [size=\"85803520\", alpha=\"0.05\", expect_size=\"34321408\"] \n  34 -> 41 [size =\"34321408\"]\n  35 [size=\"101411840\", alpha=\"0.01\", expect_size=\"40564736\"] \n  35 -> 37 [size =\"40564736\"]\n  36 [size=\"42147840\", alpha=\"0.04\", expect_size=\"16859136\"] \n  36 -> 42 [size =\"16859136\"]\n  36 -> 43 [size =\"16859136\"]\n  36 -> 44 [size =\"16859136\"]\n  36 -> 46 [size =\"16859136\"]\n  37 [size=\"27804160\", alpha=\"0.14\", expect_size=\"11121664\"] \n  37 -> 42 [size =\"11121664\"]\n  37 -> 43 [size =\"11121664\"]\n  37 -> 44 [size =\"11121664\"]\n  37 -> 45 [size =\"11121664\"]\n  37 -> 47 [size =\"11121664\"]\n  38 [size=\"20316160\", alpha=\"0.07\", expect_size=\"8126464\"] \n  38 -> 42 [size =\"8126464\"]\n  38 -> 43 [size =\"8126464\"]\n  39 [size=\"111843840\", alpha=\"0.03\", expect_size=\"44737536\"] \n  39 -> 42 [size =\"44737536\"]\n  40 [size=\"29148160\", alpha=\"0.16\", expect_size=\"11659264\"] \n  40 -> 42 [size =\"11659264\"]\n  40 -> 44 [size =\"11659264\"]\n  41 [size=\"124413440\", alpha=\"0.05\", expect_size=\"49765376\"] \n  42 [size=\"42347520\", alpha=\"0.05\", expect_size=\"16939008\"] \n  42 -> 48 [size =\"16939008\"]\n  43 [size=\"22120960\", alpha=\"0.18\", expect_size=\"8848384\"] \n  43 -> 48 [size =\"8848384\"]\n  44 [size=\"102361600\", alpha=\"0.18\", expect_size=\"40944640\"] \n  45 [size=\"13895680\", alpha=\"0.14\", expect_size=\"5558272\"] \n  45 -> 48 [size =\"5558272\"]\n  45 -> 49 [size =\"5558272\"]\n  45 -> 50 [size =\"5558272\"]\n  46 [size=\"20682240\", alpha=\"0.03\", expect_size=\"8272896\"] \n  46 -> 48 [size =\"8272896\"]\n  47 [size=\"45911040\", alpha=\"0.02\", expect_size=\"18364416\"] \n  47 -> 49 [size =\"18364416\"]\n  48 [size=\"130836480\", alpha=\"0.16\", expect_size=\"52334592\"] \n  49 [size=\"53606400\", alpha=\"0.17\", expect_size=\"21442560\"] \n  50 [size=\"71383040\", alpha=\"0.16\", expect_size=\"28553216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.154.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"157091840\", alpha=\"0.13\", expect_size=\"47127552\"] \n  1 -> 34 [size =\"47127552\"]\n  1 -> 36 [size =\"47127552\"]\n  1 -> 40 [size =\"47127552\"]\n  1 -> 48 [size =\"47127552\"]\n  1 -> 49 [size =\"47127552\"]\n  2 [size=\"146042880\", alpha=\"0.12\", expect_size=\"43812864\"] \n  2 -> 35 [size =\"43812864\"]\n  2 -> 38 [size =\"43812864\"]\n  2 -> 43 [size =\"43812864\"]\n  2 -> 44 [size =\"43812864\"]\n  2 -> 50 [size =\"43812864\"]\n  3 [size=\"123668480\", alpha=\"0.11\", expect_size=\"37100544\"] \n  3 -> 31 [size =\"37100544\"]\n  3 -> 40 [size =\"37100544\"]\n  3 -> 47 [size =\"37100544\"]\n  3 -> 48 [size =\"37100544\"]\n  3 -> 50 [size =\"37100544\"]\n  4 [size=\"85237760\", alpha=\"0.08\", expect_size=\"25571328\"] \n  4 -> 31 [size =\"25571328\"]\n  4 -> 34 [size =\"25571328\"]\n  4 -> 40 [size =\"25571328\"]\n  4 -> 42 [size =\"25571328\"]\n  4 -> 46 [size =\"25571328\"]\n  4 -> 47 [size =\"25571328\"]\n  4 -> 49 [size =\"25571328\"]\n  5 [size=\"77271040\", alpha=\"0.05\", expect_size=\"23181312\"] \n  5 -> 31 [size =\"23181312\"]\n  5 -> 34 [size =\"23181312\"]\n  5 -> 39 [size =\"23181312\"]\n  5 -> 40 [size =\"23181312\"]\n  5 -> 43 [size =\"23181312\"]\n  5 -> 46 [size =\"23181312\"]\n  6 [size=\"24224427\", alpha=\"0.17\", expect_size=\"7267328\"] \n  6 -> 30 [size =\"7267328\"]\n  6 -> 31 [size =\"7267328\"]\n  6 -> 32 [size =\"7267328\"]\n  6 -> 33 [size =\"7267328\"]\n  6 -> 36 [size =\"7267328\"]\n  6 -> 37 [size =\"7267328\"]\n  6 -> 38 [size =\"7267328\"]\n  6 -> 40 [size =\"7267328\"]\n  6 -> 43 [size =\"7267328\"]\n  6 -> 50 [size =\"7267328\"]\n  7 [size=\"90323627\", alpha=\"0.10\", expect_size=\"27097088\"] \n  7 -> 31 [size =\"27097088\"]\n  7 -> 31 [size =\"27097088\"]\n  7 -> 33 [size =\"27097088\"]\n  7 -> 34 [size =\"27097088\"]\n  7 -> 36 [size =\"27097088\"]\n  7 -> 40 [size =\"27097088\"]\n  7 -> 43 [size =\"27097088\"]\n  7 -> 44 [size =\"27097088\"]\n  7 -> 46 [size =\"27097088\"]\n  7 -> 47 [size =\"27097088\"]\n  7 -> 48 [size =\"27097088\"]\n  7 -> 50 [size =\"27097088\"]\n  8 [size=\"55483733\", alpha=\"0.09\", expect_size=\"16645120\"] \n  8 -> 31 [size =\"16645120\"]\n  8 -> 40 [size =\"16645120\"]\n  8 -> 46 [size =\"16645120\"]\n  8 -> 49 [size =\"16645120\"]\n  8 -> 50 [size =\"16645120\"]\n  9 [size=\"29709653\", alpha=\"0.19\", expect_size=\"8912896\"] \n  9 -> 31 [size =\"8912896\"]\n  9 -> 32 [size =\"8912896\"]\n  9 -> 35 [size =\"8912896\"]\n  9 -> 36 [size =\"8912896\"]\n  9 -> 40 [size =\"8912896\"]\n  10 [size=\"156876800\", alpha=\"0.19\", expect_size=\"47063040\"] \n  10 -> 34 [size =\"47063040\"]\n  10 -> 36 [size =\"47063040\"]\n  10 -> 37 [size =\"47063040\"]\n  10 -> 40 [size =\"47063040\"]\n  10 -> 40 [size =\"47063040\"]\n  10 -> 42 [size =\"47063040\"]\n  10 -> 45 [size =\"47063040\"]\n  10 -> 46 [size =\"47063040\"]\n  10 -> 49 [size =\"47063040\"]\n  11 [size=\"113537707\", alpha=\"0.13\", expect_size=\"34061312\"] \n  11 -> 30 [size =\"34061312\"]\n  11 -> 37 [size =\"34061312\"]\n  11 -> 38 [size =\"34061312\"]\n  11 -> 40 [size =\"34061312\"]\n  11 -> 41 [size =\"34061312\"]\n  11 -> 43 [size =\"34061312\"]\n  11 -> 46 [size =\"34061312\"]\n  11 -> 47 [size =\"34061312\"]\n  11 -> 49 [size =\"34061312\"]\n  12 [size=\"60839253\", alpha=\"0.04\", expect_size=\"18251776\"] \n  12 -> 31 [size =\"18251776\"]\n  12 -> 36 [size =\"18251776\"]\n  12 -> 40 [size =\"18251776\"]\n  12 -> 41 [size =\"18251776\"]\n  12 -> 50 [size =\"18251776\"]\n  13 [size=\"153149440\", alpha=\"0.12\", expect_size=\"45944832\"] \n  13 -> 34 [size =\"45944832\"]\n  13 -> 36 [size =\"45944832\"]\n  13 -> 41 [size =\"45944832\"]\n  13 -> 46 [size =\"45944832\"]\n  13 -> 48 [size =\"45944832\"]\n  14 [size=\"82585600\", alpha=\"0.07\", expect_size=\"24775680\"] \n  14 -> 36 [size =\"24775680\"]\n  14 -> 36 [size =\"24775680\"]\n  14 -> 38 [size =\"24775680\"]\n  14 -> 39 [size =\"24775680\"]\n  14 -> 40 [size =\"24775680\"]\n  14 -> 41 [size =\"24775680\"]\n  14 -> 43 [size =\"24775680\"]\n  14 -> 44 [size =\"24775680\"]\n  14 -> 49 [size =\"24775680\"]\n  15 [size=\"144790187\", alpha=\"0.15\", expect_size=\"43437056\"] \n  15 -> 31 [size =\"43437056\"]\n  15 -> 36 [size =\"43437056\"]\n  15 -> 38 [size =\"43437056\"]\n  15 -> 41 [size =\"43437056\"]\n  16 [size=\"25931093\", alpha=\"0.19\", expect_size=\"7779328\"] \n  16 -> 31 [size =\"7779328\"]\n  16 -> 32 [size =\"7779328\"]\n  16 -> 36 [size =\"7779328\"]\n  16 -> 40 [size =\"7779328\"]\n  16 -> 41 [size =\"7779328\"]\n  16 -> 48 [size =\"7779328\"]\n  16 -> 50 [size =\"7779328\"]\n  17 [size=\"156781227\", alpha=\"0.09\", expect_size=\"47034368\"] \n  17 -> 31 [size =\"47034368\"]\n  17 -> 34 [size =\"47034368\"]\n  17 -> 35 [size =\"47034368\"]\n  17 -> 36 [size =\"47034368\"]\n  17 -> 38 [size =\"47034368\"]\n  17 -> 41 [size =\"47034368\"]\n  17 -> 42 [size =\"47034368\"]\n  17 -> 45 [size =\"47034368\"]\n  17 -> 49 [size =\"47034368\"]\n  17 -> 50 [size =\"47034368\"]\n  18 [size=\"78680747\", alpha=\"0.17\", expect_size=\"23604224\"] \n  18 -> 31 [size =\"23604224\"]\n  18 -> 35 [size =\"23604224\"]\n  18 -> 45 [size =\"23604224\"]\n  19 [size=\"148473173\", alpha=\"0.04\", expect_size=\"44541952\"] \n  19 -> 30 [size =\"44541952\"]\n  19 -> 35 [size =\"44541952\"]\n  19 -> 36 [size =\"44541952\"]\n  19 -> 38 [size =\"44541952\"]\n  19 -> 41 [size =\"44541952\"]\n  19 -> 45 [size =\"44541952\"]\n  19 -> 47 [size =\"44541952\"]\n  20 [size=\"138386773\", alpha=\"0.03\", expect_size=\"41516032\"] \n  20 -> 31 [size =\"41516032\"]\n  20 -> 34 [size =\"41516032\"]\n  20 -> 35 [size =\"41516032\"]\n  20 -> 36 [size =\"41516032\"]\n  20 -> 38 [size =\"41516032\"]\n  21 [size=\"128945493\", alpha=\"0.20\", expect_size=\"38683648\"] \n  21 -> 30 [size =\"38683648\"]\n  21 -> 38 [size =\"38683648\"]\n  21 -> 40 [size =\"38683648\"]\n  21 -> 45 [size =\"38683648\"]\n  22 [size=\"76861440\", alpha=\"0.13\", expect_size=\"23058432\"] \n  22 -> 37 [size =\"23058432\"]\n  22 -> 41 [size =\"23058432\"]\n  22 -> 49 [size =\"23058432\"]\n  23 [size=\"110370133\", alpha=\"0.20\", expect_size=\"33111040\"] \n  23 -> 36 [size =\"33111040\"]\n  23 -> 38 [size =\"33111040\"]\n  23 -> 41 [size =\"33111040\"]\n  23 -> 46 [size =\"33111040\"]\n  23 -> 49 [size =\"33111040\"]\n  24 [size=\"51080533\", alpha=\"0.15\", expect_size=\"15324160\"] \n  24 -> 32 [size =\"15324160\"]\n  24 -> 33 [size =\"15324160\"]\n  24 -> 41 [size =\"15324160\"]\n  24 -> 45 [size =\"15324160\"]\n  24 -> 46 [size =\"15324160\"]\n  24 -> 49 [size =\"15324160\"]\n  25 [size=\"103471787\", alpha=\"0.18\", expect_size=\"31041536\"] \n  25 -> 31 [size =\"31041536\"]\n  25 -> 32 [size =\"31041536\"]\n  25 -> 37 [size =\"31041536\"]\n  25 -> 38 [size =\"31041536\"]\n  25 -> 41 [size =\"31041536\"]\n  25 -> 43 [size =\"31041536\"]\n  26 [size=\"61402453\", alpha=\"0.02\", expect_size=\"18420736\"] \n  26 -> 30 [size =\"18420736\"]\n  26 -> 32 [size =\"18420736\"]\n  26 -> 36 [size =\"18420736\"]\n  26 -> 50 [size =\"18420736\"]\n  27 [size=\"53329920\", alpha=\"0.15\", expect_size=\"15998976\"] \n  27 -> 30 [size =\"15998976\"]\n  27 -> 31 [size =\"15998976\"]\n  27 -> 43 [size =\"15998976\"]\n  27 -> 47 [size =\"15998976\"]\n  27 -> 49 [size =\"15998976\"]\n  28 [size=\"122190507\", alpha=\"0.13\", expect_size=\"36657152\"] \n  28 -> 30 [size =\"36657152\"]\n  28 -> 31 [size =\"36657152\"]\n  28 -> 34 [size =\"36657152\"]\n  28 -> 37 [size =\"36657152\"]\n  28 -> 38 [size =\"36657152\"]\n  28 -> 41 [size =\"36657152\"]\n  28 -> 43 [size =\"36657152\"]\n  28 -> 46 [size =\"36657152\"]\n  28 -> 47 [size =\"36657152\"]\n  28 -> 49 [size =\"36657152\"]\n  29 [size=\"95204693\", alpha=\"0.12\", expect_size=\"28561408\"] \n  29 -> 38 [size =\"28561408\"]\n  29 -> 43 [size =\"28561408\"]\n  29 -> 46 [size =\"28561408\"]\n  30 [size=\"126136320\", alpha=\"0.09\", expect_size=\"37840896\"] \n  31 [size=\"150029653\", alpha=\"0.19\", expect_size=\"45008896\"] \n  32 [size=\"149220693\", alpha=\"0.14\", expect_size=\"44766208\"] \n  33 [size=\"94989653\", alpha=\"0.06\", expect_size=\"28496896\"] \n  34 [size=\"93525333\", alpha=\"0.06\", expect_size=\"28057600\"] \n  35 [size=\"55306240\", alpha=\"0.03\", expect_size=\"16591872\"] \n  36 [size=\"40130560\", alpha=\"0.01\", expect_size=\"12039168\"] \n  37 [size=\"54746453\", alpha=\"0.16\", expect_size=\"16423936\"] \n  38 [size=\"172004693\", alpha=\"0.19\", expect_size=\"51601408\"] \n  39 [size=\"115343360\", alpha=\"0.19\", expect_size=\"34603008\"] \n  40 [size=\"54278827\", alpha=\"0.14\", expect_size=\"16283648\"] \n  41 [size=\"128218453\", alpha=\"0.04\", expect_size=\"38465536\"] \n  42 [size=\"118650880\", alpha=\"0.01\", expect_size=\"35595264\"] \n  43 [size=\"68939093\", alpha=\"0.09\", expect_size=\"20681728\"] \n  44 [size=\"114763093\", alpha=\"0.02\", expect_size=\"34428928\"] \n  45 [size=\"163938987\", alpha=\"0.06\", expect_size=\"49181696\"] \n  46 [size=\"29218133\", alpha=\"0.16\", expect_size=\"8765440\"] \n  47 [size=\"33624747\", alpha=\"0.10\", expect_size=\"10087424\"] \n  48 [size=\"159177387\", alpha=\"0.17\", expect_size=\"47753216\"] \n  49 [size=\"152521387\", alpha=\"0.15\", expect_size=\"45756416\"] \n  50 [size=\"144643413\", alpha=\"0.06\", expect_size=\"43393024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.155.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10661888\", alpha=\"0.01\", expect_size=\"5330944\"] \n  1 -> 33 [size =\"5330944\"]\n  1 -> 34 [size =\"5330944\"]\n  1 -> 37 [size =\"5330944\"]\n  1 -> 38 [size =\"5330944\"]\n  1 -> 43 [size =\"5330944\"]\n  1 -> 45 [size =\"5330944\"]\n  1 -> 46 [size =\"5330944\"]\n  1 -> 48 [size =\"5330944\"]\n  2 [size=\"35934208\", alpha=\"0.14\", expect_size=\"17967104\"] \n  2 -> 33 [size =\"17967104\"]\n  2 -> 34 [size =\"17967104\"]\n  2 -> 37 [size =\"17967104\"]\n  2 -> 38 [size =\"17967104\"]\n  2 -> 41 [size =\"17967104\"]\n  2 -> 43 [size =\"17967104\"]\n  2 -> 45 [size =\"17967104\"]\n  2 -> 46 [size =\"17967104\"]\n  2 -> 48 [size =\"17967104\"]\n  2 -> 49 [size =\"17967104\"]\n  3 [size=\"85862400\", alpha=\"0.12\", expect_size=\"42931200\"] \n  3 -> 32 [size =\"42931200\"]\n  3 -> 33 [size =\"42931200\"]\n  3 -> 35 [size =\"42931200\"]\n  3 -> 37 [size =\"42931200\"]\n  3 -> 38 [size =\"42931200\"]\n  3 -> 41 [size =\"42931200\"]\n  3 -> 43 [size =\"42931200\"]\n  3 -> 45 [size =\"42931200\"]\n  3 -> 46 [size =\"42931200\"]\n  3 -> 47 [size =\"42931200\"]\n  4 [size=\"83105792\", alpha=\"0.10\", expect_size=\"41552896\"] \n  4 -> 32 [size =\"41552896\"]\n  4 -> 33 [size =\"41552896\"]\n  4 -> 34 [size =\"41552896\"]\n  4 -> 35 [size =\"41552896\"]\n  4 -> 37 [size =\"41552896\"]\n  4 -> 38 [size =\"41552896\"]\n  4 -> 41 [size =\"41552896\"]\n  4 -> 43 [size =\"41552896\"]\n  4 -> 46 [size =\"41552896\"]\n  4 -> 49 [size =\"41552896\"]\n  4 -> 50 [size =\"41552896\"]\n  5 [size=\"46434304\", alpha=\"0.02\", expect_size=\"23217152\"] \n  5 -> 33 [size =\"23217152\"]\n  5 -> 33 [size =\"23217152\"]\n  5 -> 35 [size =\"23217152\"]\n  5 -> 35 [size =\"23217152\"]\n  5 -> 37 [size =\"23217152\"]\n  5 -> 38 [size =\"23217152\"]\n  5 -> 41 [size =\"23217152\"]\n  5 -> 43 [size =\"23217152\"]\n  5 -> 46 [size =\"23217152\"]\n  5 -> 49 [size =\"23217152\"]\n  5 -> 50 [size =\"23217152\"]\n  6 [size=\"66361344\", alpha=\"0.03\", expect_size=\"33180672\"] \n  6 -> 33 [size =\"33180672\"]\n  6 -> 35 [size =\"33180672\"]\n  6 -> 35 [size =\"33180672\"]\n  6 -> 38 [size =\"33180672\"]\n  6 -> 43 [size =\"33180672\"]\n  6 -> 46 [size =\"33180672\"]\n  6 -> 49 [size =\"33180672\"]\n  6 -> 50 [size =\"33180672\"]\n  7 [size=\"70135808\", alpha=\"0.09\", expect_size=\"35067904\"] \n  7 -> 33 [size =\"35067904\"]\n  7 -> 35 [size =\"35067904\"]\n  7 -> 36 [size =\"35067904\"]\n  7 -> 38 [size =\"35067904\"]\n  7 -> 41 [size =\"35067904\"]\n  7 -> 43 [size =\"35067904\"]\n  7 -> 44 [size =\"35067904\"]\n  7 -> 45 [size =\"35067904\"]\n  7 -> 49 [size =\"35067904\"]\n  7 -> 50 [size =\"35067904\"]\n  8 [size=\"58822656\", alpha=\"0.09\", expect_size=\"29411328\"] \n  8 -> 35 [size =\"29411328\"]\n  8 -> 36 [size =\"29411328\"]\n  8 -> 37 [size =\"29411328\"]\n  8 -> 38 [size =\"29411328\"]\n  8 -> 40 [size =\"29411328\"]\n  8 -> 43 [size =\"29411328\"]\n  8 -> 48 [size =\"29411328\"]\n  8 -> 49 [size =\"29411328\"]\n  8 -> 49 [size =\"29411328\"]\n  9 [size=\"13352960\", alpha=\"0.03\", expect_size=\"6676480\"] \n  9 -> 32 [size =\"6676480\"]\n  9 -> 33 [size =\"6676480\"]\n  9 -> 35 [size =\"6676480\"]\n  9 -> 38 [size =\"6676480\"]\n  9 -> 44 [size =\"6676480\"]\n  9 -> 45 [size =\"6676480\"]\n  9 -> 46 [size =\"6676480\"]\n  9 -> 48 [size =\"6676480\"]\n  9 -> 49 [size =\"6676480\"]\n  9 -> 50 [size =\"6676480\"]\n  10 [size=\"15441920\", alpha=\"0.08\", expect_size=\"7720960\"] \n  10 -> 32 [size =\"7720960\"]\n  10 -> 33 [size =\"7720960\"]\n  10 -> 35 [size =\"7720960\"]\n  10 -> 37 [size =\"7720960\"]\n  10 -> 38 [size =\"7720960\"]\n  10 -> 41 [size =\"7720960\"]\n  10 -> 46 [size =\"7720960\"]\n  10 -> 48 [size =\"7720960\"]\n  10 -> 49 [size =\"7720960\"]\n  11 [size=\"68005888\", alpha=\"0.15\", expect_size=\"34002944\"] \n  11 -> 32 [size =\"34002944\"]\n  11 -> 33 [size =\"34002944\"]\n  11 -> 37 [size =\"34002944\"]\n  11 -> 37 [size =\"34002944\"]\n  11 -> 38 [size =\"34002944\"]\n  11 -> 41 [size =\"34002944\"]\n  11 -> 43 [size =\"34002944\"]\n  11 -> 44 [size =\"34002944\"]\n  11 -> 45 [size =\"34002944\"]\n  11 -> 46 [size =\"34002944\"]\n  11 -> 48 [size =\"34002944\"]\n  12 [size=\"71815168\", alpha=\"0.11\", expect_size=\"35907584\"] \n  12 -> 32 [size =\"35907584\"]\n  12 -> 33 [size =\"35907584\"]\n  12 -> 35 [size =\"35907584\"]\n  12 -> 37 [size =\"35907584\"]\n  12 -> 38 [size =\"35907584\"]\n  12 -> 41 [size =\"35907584\"]\n  12 -> 43 [size =\"35907584\"]\n  12 -> 45 [size =\"35907584\"]\n  12 -> 45 [size =\"35907584\"]\n  13 [size=\"42141696\", alpha=\"0.02\", expect_size=\"21070848\"] \n  13 -> 32 [size =\"21070848\"]\n  13 -> 33 [size =\"21070848\"]\n  13 -> 35 [size =\"21070848\"]\n  13 -> 36 [size =\"21070848\"]\n  13 -> 37 [size =\"21070848\"]\n  13 -> 38 [size =\"21070848\"]\n  13 -> 41 [size =\"21070848\"]\n  13 -> 43 [size =\"21070848\"]\n  13 -> 45 [size =\"21070848\"]\n  13 -> 46 [size =\"21070848\"]\n  13 -> 48 [size =\"21070848\"]\n  14 [size=\"96909312\", alpha=\"0.13\", expect_size=\"48454656\"] \n  14 -> 32 [size =\"48454656\"]\n  14 -> 35 [size =\"48454656\"]\n  14 -> 35 [size =\"48454656\"]\n  14 -> 37 [size =\"48454656\"]\n  14 -> 37 [size =\"48454656\"]\n  14 -> 38 [size =\"48454656\"]\n  14 -> 42 [size =\"48454656\"]\n  14 -> 45 [size =\"48454656\"]\n  14 -> 48 [size =\"48454656\"]\n  15 [size=\"50747392\", alpha=\"0.20\", expect_size=\"25373696\"] \n  15 -> 32 [size =\"25373696\"]\n  15 -> 33 [size =\"25373696\"]\n  15 -> 34 [size =\"25373696\"]\n  15 -> 35 [size =\"25373696\"]\n  15 -> 38 [size =\"25373696\"]\n  15 -> 40 [size =\"25373696\"]\n  15 -> 41 [size =\"25373696\"]\n  15 -> 45 [size =\"25373696\"]\n  15 -> 46 [size =\"25373696\"]\n  15 -> 48 [size =\"25373696\"]\n  16 [size=\"62210048\", alpha=\"0.02\", expect_size=\"31105024\"] \n  16 -> 32 [size =\"31105024\"]\n  16 -> 33 [size =\"31105024\"]\n  16 -> 34 [size =\"31105024\"]\n  16 -> 35 [size =\"31105024\"]\n  16 -> 37 [size =\"31105024\"]\n  16 -> 38 [size =\"31105024\"]\n  16 -> 40 [size =\"31105024\"]\n  16 -> 46 [size =\"31105024\"]\n  16 -> 47 [size =\"31105024\"]\n  16 -> 48 [size =\"31105024\"]\n  16 -> 50 [size =\"31105024\"]\n  17 [size=\"78452736\", alpha=\"0.04\", expect_size=\"39226368\"] \n  17 -> 32 [size =\"39226368\"]\n  17 -> 33 [size =\"39226368\"]\n  17 -> 34 [size =\"39226368\"]\n  17 -> 37 [size =\"39226368\"]\n  17 -> 38 [size =\"39226368\"]\n  17 -> 46 [size =\"39226368\"]\n  17 -> 48 [size =\"39226368\"]\n  17 -> 50 [size =\"39226368\"]\n  18 [size=\"24541184\", alpha=\"0.02\", expect_size=\"12270592\"] \n  18 -> 32 [size =\"12270592\"]\n  18 -> 33 [size =\"12270592\"]\n  18 -> 34 [size =\"12270592\"]\n  18 -> 35 [size =\"12270592\"]\n  18 -> 37 [size =\"12270592\"]\n  18 -> 38 [size =\"12270592\"]\n  18 -> 39 [size =\"12270592\"]\n  18 -> 45 [size =\"12270592\"]\n  19 [size=\"64724992\", alpha=\"0.08\", expect_size=\"32362496\"] \n  19 -> 32 [size =\"32362496\"]\n  19 -> 35 [size =\"32362496\"]\n  19 -> 37 [size =\"32362496\"]\n  19 -> 38 [size =\"32362496\"]\n  19 -> 41 [size =\"32362496\"]\n  19 -> 45 [size =\"32362496\"]\n  19 -> 46 [size =\"32362496\"]\n  20 [size=\"78792704\", alpha=\"0.12\", expect_size=\"39396352\"] \n  20 -> 33 [size =\"39396352\"]\n  20 -> 34 [size =\"39396352\"]\n  20 -> 35 [size =\"39396352\"]\n  20 -> 37 [size =\"39396352\"]\n  20 -> 38 [size =\"39396352\"]\n  20 -> 44 [size =\"39396352\"]\n  20 -> 45 [size =\"39396352\"]\n  20 -> 50 [size =\"39396352\"]\n  21 [size=\"19867648\", alpha=\"0.17\", expect_size=\"9933824\"] \n  21 -> 32 [size =\"9933824\"]\n  21 -> 33 [size =\"9933824\"]\n  21 -> 34 [size =\"9933824\"]\n  21 -> 35 [size =\"9933824\"]\n  21 -> 37 [size =\"9933824\"]\n  21 -> 38 [size =\"9933824\"]\n  21 -> 45 [size =\"9933824\"]\n  21 -> 46 [size =\"9933824\"]\n  21 -> 49 [size =\"9933824\"]\n  22 [size=\"90802176\", alpha=\"0.07\", expect_size=\"45401088\"] \n  22 -> 33 [size =\"45401088\"]\n  22 -> 34 [size =\"45401088\"]\n  22 -> 34 [size =\"45401088\"]\n  22 -> 35 [size =\"45401088\"]\n  22 -> 36 [size =\"45401088\"]\n  22 -> 37 [size =\"45401088\"]\n  22 -> 40 [size =\"45401088\"]\n  22 -> 43 [size =\"45401088\"]\n  22 -> 45 [size =\"45401088\"]\n  22 -> 49 [size =\"45401088\"]\n  22 -> 50 [size =\"45401088\"]\n  23 [size=\"46112768\", alpha=\"0.13\", expect_size=\"23056384\"] \n  23 -> 33 [size =\"23056384\"]\n  23 -> 35 [size =\"23056384\"]\n  23 -> 36 [size =\"23056384\"]\n  23 -> 37 [size =\"23056384\"]\n  23 -> 38 [size =\"23056384\"]\n  23 -> 43 [size =\"23056384\"]\n  23 -> 45 [size =\"23056384\"]\n  23 -> 46 [size =\"23056384\"]\n  23 -> 49 [size =\"23056384\"]\n  24 [size=\"57090048\", alpha=\"0.15\", expect_size=\"28545024\"] \n  24 -> 33 [size =\"28545024\"]\n  24 -> 34 [size =\"28545024\"]\n  24 -> 35 [size =\"28545024\"]\n  24 -> 37 [size =\"28545024\"]\n  24 -> 38 [size =\"28545024\"]\n  24 -> 41 [size =\"28545024\"]\n  24 -> 43 [size =\"28545024\"]\n  24 -> 45 [size =\"28545024\"]\n  24 -> 46 [size =\"28545024\"]\n  24 -> 47 [size =\"28545024\"]\n  24 -> 49 [size =\"28545024\"]\n  25 [size=\"23298048\", alpha=\"0.04\", expect_size=\"11649024\"] \n  25 -> 32 [size =\"11649024\"]\n  25 -> 35 [size =\"11649024\"]\n  25 -> 35 [size =\"11649024\"]\n  25 -> 37 [size =\"11649024\"]\n  25 -> 38 [size =\"11649024\"]\n  25 -> 44 [size =\"11649024\"]\n  25 -> 45 [size =\"11649024\"]\n  25 -> 45 [size =\"11649024\"]\n  25 -> 46 [size =\"11649024\"]\n  25 -> 50 [size =\"11649024\"]\n  26 [size=\"21080064\", alpha=\"0.04\", expect_size=\"10540032\"] \n  26 -> 35 [size =\"10540032\"]\n  26 -> 35 [size =\"10540032\"]\n  26 -> 38 [size =\"10540032\"]\n  26 -> 41 [size =\"10540032\"]\n  26 -> 43 [size =\"10540032\"]\n  26 -> 45 [size =\"10540032\"]\n  26 -> 46 [size =\"10540032\"]\n  26 -> 49 [size =\"10540032\"]\n  26 -> 50 [size =\"10540032\"]\n  27 [size=\"30386176\", alpha=\"0.18\", expect_size=\"15193088\"] \n  27 -> 37 [size =\"15193088\"]\n  27 -> 43 [size =\"15193088\"]\n  27 -> 45 [size =\"15193088\"]\n  27 -> 48 [size =\"15193088\"]\n  27 -> 50 [size =\"15193088\"]\n  28 [size=\"51159040\", alpha=\"0.02\", expect_size=\"25579520\"] \n  28 -> 32 [size =\"25579520\"]\n  28 -> 37 [size =\"25579520\"]\n  28 -> 38 [size =\"25579520\"]\n  28 -> 41 [size =\"25579520\"]\n  28 -> 43 [size =\"25579520\"]\n  28 -> 46 [size =\"25579520\"]\n  28 -> 48 [size =\"25579520\"]\n  28 -> 50 [size =\"25579520\"]\n  29 [size=\"60518400\", alpha=\"0.06\", expect_size=\"30259200\"] \n  29 -> 34 [size =\"30259200\"]\n  29 -> 37 [size =\"30259200\"]\n  29 -> 38 [size =\"30259200\"]\n  29 -> 41 [size =\"30259200\"]\n  29 -> 43 [size =\"30259200\"]\n  29 -> 45 [size =\"30259200\"]\n  29 -> 46 [size =\"30259200\"]\n  29 -> 48 [size =\"30259200\"]\n  29 -> 50 [size =\"30259200\"]\n  30 [size=\"97693696\", alpha=\"0.11\", expect_size=\"48846848\"] \n  30 -> 33 [size =\"48846848\"]\n  30 -> 35 [size =\"48846848\"]\n  30 -> 38 [size =\"48846848\"]\n  30 -> 40 [size =\"48846848\"]\n  30 -> 43 [size =\"48846848\"]\n  30 -> 45 [size =\"48846848\"]\n  30 -> 46 [size =\"48846848\"]\n  30 -> 48 [size =\"48846848\"]\n  30 -> 49 [size =\"48846848\"]\n  30 -> 50 [size =\"48846848\"]\n  31 [size=\"62238720\", alpha=\"0.09\", expect_size=\"31119360\"] \n  31 -> 33 [size =\"31119360\"]\n  31 -> 40 [size =\"31119360\"]\n  31 -> 41 [size =\"31119360\"]\n  31 -> 45 [size =\"31119360\"]\n  31 -> 47 [size =\"31119360\"]\n  31 -> 48 [size =\"31119360\"]\n  32 [size=\"48705536\", alpha=\"0.20\", expect_size=\"24352768\"] \n  33 [size=\"82542592\", alpha=\"0.17\", expect_size=\"41271296\"] \n  34 [size=\"50382848\", alpha=\"0.13\", expect_size=\"25191424\"] \n  35 [size=\"24850432\", alpha=\"0.17\", expect_size=\"12425216\"] \n  36 [size=\"41891840\", alpha=\"0.12\", expect_size=\"20945920\"] \n  37 [size=\"63012864\", alpha=\"0.01\", expect_size=\"31506432\"] \n  38 [size=\"53493760\", alpha=\"0.14\", expect_size=\"26746880\"] \n  39 [size=\"61669376\", alpha=\"0.18\", expect_size=\"30834688\"] \n  40 [size=\"90408960\", alpha=\"0.16\", expect_size=\"45204480\"] \n  41 [size=\"50296832\", alpha=\"0.17\", expect_size=\"25148416\"] \n  42 [size=\"93227008\", alpha=\"0.14\", expect_size=\"46613504\"] \n  43 [size=\"91785216\", alpha=\"0.19\", expect_size=\"45892608\"] \n  44 [size=\"77629440\", alpha=\"0.14\", expect_size=\"38814720\"] \n  45 [size=\"42811392\", alpha=\"0.12\", expect_size=\"21405696\"] \n  46 [size=\"27594752\", alpha=\"0.12\", expect_size=\"13797376\"] \n  47 [size=\"83703808\", alpha=\"0.16\", expect_size=\"41851904\"] \n  48 [size=\"90363904\", alpha=\"0.09\", expect_size=\"45181952\"] \n  49 [size=\"61632512\", alpha=\"0.12\", expect_size=\"30816256\"] \n  50 [size=\"51746816\", alpha=\"0.14\", expect_size=\"25873408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.156.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48824320\", alpha=\"0.12\", expect_size=\"24412160\"] \n  1 -> 8 [size =\"24412160\"]\n  1 -> 9 [size =\"24412160\"]\n  1 -> 11 [size =\"24412160\"]\n  1 -> 12 [size =\"24412160\"]\n  2 [size=\"66093056\", alpha=\"0.02\", expect_size=\"33046528\"] \n  2 -> 8 [size =\"33046528\"]\n  2 -> 9 [size =\"33046528\"]\n  2 -> 12 [size =\"33046528\"]\n  3 [size=\"44400640\", alpha=\"0.10\", expect_size=\"22200320\"] \n  3 -> 9 [size =\"22200320\"]\n  3 -> 9 [size =\"22200320\"]\n  3 -> 10 [size =\"22200320\"]\n  3 -> 12 [size =\"22200320\"]\n  4 [size=\"68526080\", alpha=\"0.20\", expect_size=\"34263040\"] \n  4 -> 8 [size =\"34263040\"]\n  4 -> 12 [size =\"34263040\"]\n  5 [size=\"35985408\", alpha=\"0.07\", expect_size=\"17992704\"] \n  5 -> 7 [size =\"17992704\"]\n  5 -> 8 [size =\"17992704\"]\n  5 -> 12 [size =\"17992704\"]\n  6 [size=\"33767424\", alpha=\"0.18\", expect_size=\"16883712\"] \n  6 -> 8 [size =\"16883712\"]\n  6 -> 9 [size =\"16883712\"]\n  6 -> 12 [size =\"16883712\"]\n  7 [size=\"99272704\", alpha=\"0.16\", expect_size=\"49636352\"] \n  7 -> 14 [size =\"49636352\"]\n  7 -> 15 [size =\"49636352\"]\n  7 -> 17 [size =\"49636352\"]\n  7 -> 18 [size =\"49636352\"]\n  7 -> 19 [size =\"49636352\"]\n  8 [size=\"73668608\", alpha=\"0.05\", expect_size=\"36834304\"] \n  8 -> 13 [size =\"36834304\"]\n  8 -> 17 [size =\"36834304\"]\n  8 -> 17 [size =\"36834304\"]\n  8 -> 18 [size =\"36834304\"]\n  8 -> 19 [size =\"36834304\"]\n  9 [size=\"15271936\", alpha=\"0.16\", expect_size=\"7635968\"] \n  9 -> 13 [size =\"7635968\"]\n  9 -> 19 [size =\"7635968\"]\n  10 [size=\"100790272\", alpha=\"0.05\", expect_size=\"50395136\"] \n  10 -> 13 [size =\"50395136\"]\n  10 -> 15 [size =\"50395136\"]\n  10 -> 16 [size =\"50395136\"]\n  10 -> 17 [size =\"50395136\"]\n  10 -> 18 [size =\"50395136\"]\n  10 -> 19 [size =\"50395136\"]\n  11 [size=\"79362048\", alpha=\"0.11\", expect_size=\"39681024\"] \n  11 -> 13 [size =\"39681024\"]\n  11 -> 18 [size =\"39681024\"]\n  12 [size=\"41248768\", alpha=\"0.17\", expect_size=\"20624384\"] \n  12 -> 13 [size =\"20624384\"]\n  12 -> 14 [size =\"20624384\"]\n  12 -> 15 [size =\"20624384\"]\n  12 -> 16 [size =\"20624384\"]\n  12 -> 17 [size =\"20624384\"]\n  13 [size=\"51687424\", alpha=\"0.02\", expect_size=\"25843712\"] \n  13 -> 20 [size =\"25843712\"]\n  13 -> 21 [size =\"25843712\"]\n  13 -> 23 [size =\"25843712\"]\n  13 -> 24 [size =\"25843712\"]\n  13 -> 26 [size =\"25843712\"]\n  14 [size=\"97005568\", alpha=\"0.12\", expect_size=\"48502784\"] \n  14 -> 20 [size =\"48502784\"]\n  14 -> 21 [size =\"48502784\"]\n  14 -> 22 [size =\"48502784\"]\n  14 -> 23 [size =\"48502784\"]\n  14 -> 24 [size =\"48502784\"]\n  14 -> 26 [size =\"48502784\"]\n  15 [size=\"96108544\", alpha=\"0.17\", expect_size=\"48054272\"] \n  15 -> 20 [size =\"48054272\"]\n  15 -> 21 [size =\"48054272\"]\n  15 -> 22 [size =\"48054272\"]\n  15 -> 26 [size =\"48054272\"]\n  16 [size=\"32690176\", alpha=\"0.03\", expect_size=\"16345088\"] \n  16 -> 20 [size =\"16345088\"]\n  16 -> 22 [size =\"16345088\"]\n  16 -> 22 [size =\"16345088\"]\n  16 -> 24 [size =\"16345088\"]\n  16 -> 26 [size =\"16345088\"]\n  17 [size=\"21063680\", alpha=\"0.17\", expect_size=\"10531840\"] \n  17 -> 20 [size =\"10531840\"]\n  17 -> 23 [size =\"10531840\"]\n  17 -> 25 [size =\"10531840\"]\n  17 -> 26 [size =\"10531840\"]\n  18 [size=\"98918400\", alpha=\"0.16\", expect_size=\"49459200\"] \n  18 -> 23 [size =\"49459200\"]\n  18 -> 24 [size =\"49459200\"]\n  19 [size=\"29679616\", alpha=\"0.07\", expect_size=\"14839808\"] \n  19 -> 21 [size =\"14839808\"]\n  19 -> 22 [size =\"14839808\"]\n  19 -> 24 [size =\"14839808\"]\n  19 -> 25 [size =\"14839808\"]\n  20 [size=\"103311360\", alpha=\"0.02\", expect_size=\"51655680\"] \n  20 -> 28 [size =\"51655680\"]\n  20 -> 29 [size =\"51655680\"]\n  20 -> 30 [size =\"51655680\"]\n  20 -> 30 [size =\"51655680\"]\n  20 -> 31 [size =\"51655680\"]\n  20 -> 33 [size =\"51655680\"]\n  21 [size=\"34818048\", alpha=\"0.05\", expect_size=\"17409024\"] \n  21 -> 29 [size =\"17409024\"]\n  21 -> 30 [size =\"17409024\"]\n  21 -> 33 [size =\"17409024\"]\n  22 [size=\"84830208\", alpha=\"0.01\", expect_size=\"42415104\"] \n  22 -> 28 [size =\"42415104\"]\n  22 -> 30 [size =\"42415104\"]\n  22 -> 33 [size =\"42415104\"]\n  22 -> 35 [size =\"42415104\"]\n  23 [size=\"71051264\", alpha=\"0.03\", expect_size=\"35525632\"] \n  23 -> 28 [size =\"35525632\"]\n  23 -> 31 [size =\"35525632\"]\n  23 -> 33 [size =\"35525632\"]\n  23 -> 34 [size =\"35525632\"]\n  24 [size=\"80752640\", alpha=\"0.18\", expect_size=\"40376320\"] \n  24 -> 28 [size =\"40376320\"]\n  24 -> 31 [size =\"40376320\"]\n  24 -> 32 [size =\"40376320\"]\n  24 -> 33 [size =\"40376320\"]\n  24 -> 35 [size =\"40376320\"]\n  25 [size=\"43507712\", alpha=\"0.18\", expect_size=\"21753856\"] \n  25 -> 27 [size =\"21753856\"]\n  25 -> 29 [size =\"21753856\"]\n  25 -> 30 [size =\"21753856\"]\n  25 -> 31 [size =\"21753856\"]\n  25 -> 32 [size =\"21753856\"]\n  25 -> 33 [size =\"21753856\"]\n  26 [size=\"27293696\", alpha=\"0.03\", expect_size=\"13646848\"] \n  26 -> 27 [size =\"13646848\"]\n  26 -> 28 [size =\"13646848\"]\n  26 -> 29 [size =\"13646848\"]\n  26 -> 30 [size =\"13646848\"]\n  26 -> 31 [size =\"13646848\"]\n  26 -> 32 [size =\"13646848\"]\n  26 -> 33 [size =\"13646848\"]\n  26 -> 34 [size =\"13646848\"]\n  27 [size=\"42190848\", alpha=\"0.07\", expect_size=\"21095424\"] \n  27 -> 37 [size =\"21095424\"]\n  27 -> 38 [size =\"21095424\"]\n  27 -> 39 [size =\"21095424\"]\n  28 [size=\"26464256\", alpha=\"0.04\", expect_size=\"13232128\"] \n  28 -> 37 [size =\"13232128\"]\n  28 -> 38 [size =\"13232128\"]\n  29 [size=\"100407296\", alpha=\"0.02\", expect_size=\"50203648\"] \n  29 -> 36 [size =\"50203648\"]\n  29 -> 37 [size =\"50203648\"]\n  29 -> 38 [size =\"50203648\"]\n  30 [size=\"37967872\", alpha=\"0.19\", expect_size=\"18983936\"] \n  30 -> 36 [size =\"18983936\"]\n  30 -> 38 [size =\"18983936\"]\n  30 -> 39 [size =\"18983936\"]\n  31 [size=\"47558656\", alpha=\"0.11\", expect_size=\"23779328\"] \n  31 -> 36 [size =\"23779328\"]\n  31 -> 37 [size =\"23779328\"]\n  32 [size=\"73146368\", alpha=\"0.10\", expect_size=\"36573184\"] \n  32 -> 36 [size =\"36573184\"]\n  33 [size=\"75966464\", alpha=\"0.17\", expect_size=\"37983232\"] \n  33 -> 36 [size =\"37983232\"]\n  33 -> 37 [size =\"37983232\"]\n  34 [size=\"89935872\", alpha=\"0.03\", expect_size=\"44967936\"] \n  34 -> 37 [size =\"44967936\"]\n  34 -> 37 [size =\"44967936\"]\n  34 -> 38 [size =\"44967936\"]\n  34 -> 39 [size =\"44967936\"]\n  35 [size=\"78723072\", alpha=\"0.06\", expect_size=\"39361536\"] \n  35 -> 36 [size =\"39361536\"]\n  35 -> 38 [size =\"39361536\"]\n  35 -> 39 [size =\"39361536\"]\n  35 -> 39 [size =\"39361536\"]\n  36 [size=\"67831808\", alpha=\"0.15\", expect_size=\"33915904\"] \n  36 -> 40 [size =\"33915904\"]\n  36 -> 41 [size =\"33915904\"]\n  36 -> 42 [size =\"33915904\"]\n  36 -> 43 [size =\"33915904\"]\n  37 [size=\"80541696\", alpha=\"0.05\", expect_size=\"40270848\"] \n  37 -> 40 [size =\"40270848\"]\n  37 -> 41 [size =\"40270848\"]\n  37 -> 44 [size =\"40270848\"]\n  37 -> 45 [size =\"40270848\"]\n  38 [size=\"16898048\", alpha=\"0.15\", expect_size=\"8449024\"] \n  38 -> 40 [size =\"8449024\"]\n  38 -> 41 [size =\"8449024\"]\n  38 -> 44 [size =\"8449024\"]\n  38 -> 45 [size =\"8449024\"]\n  39 [size=\"34453504\", alpha=\"0.08\", expect_size=\"17226752\"] \n  39 -> 40 [size =\"17226752\"]\n  39 -> 42 [size =\"17226752\"]\n  39 -> 45 [size =\"17226752\"]\n  40 [size=\"43628544\", alpha=\"0.01\", expect_size=\"21814272\"] \n  40 -> 47 [size =\"21814272\"]\n  40 -> 48 [size =\"21814272\"]\n  40 -> 49 [size =\"21814272\"]\n  40 -> 49 [size =\"21814272\"]\n  41 [size=\"40351744\", alpha=\"0.19\", expect_size=\"20175872\"] \n  41 -> 46 [size =\"20175872\"]\n  41 -> 48 [size =\"20175872\"]\n  42 [size=\"93507584\", alpha=\"0.14\", expect_size=\"46753792\"] \n  42 -> 48 [size =\"46753792\"]\n  42 -> 49 [size =\"46753792\"]\n  42 -> 50 [size =\"46753792\"]\n  43 [size=\"45111296\", alpha=\"0.00\", expect_size=\"22555648\"] \n  43 -> 46 [size =\"22555648\"]\n  43 -> 47 [size =\"22555648\"]\n  43 -> 49 [size =\"22555648\"]\n  43 -> 50 [size =\"22555648\"]\n  44 [size=\"30736384\", alpha=\"0.02\", expect_size=\"15368192\"] \n  44 -> 49 [size =\"15368192\"]\n  44 -> 50 [size =\"15368192\"]\n  45 [size=\"42536960\", alpha=\"0.11\", expect_size=\"21268480\"] \n  45 -> 46 [size =\"21268480\"]\n  45 -> 47 [size =\"21268480\"]\n  45 -> 48 [size =\"21268480\"]\n  45 -> 49 [size =\"21268480\"]\n  45 -> 50 [size =\"21268480\"]\n  46 [size=\"71761920\", alpha=\"0.03\", expect_size=\"35880960\"] \n  47 [size=\"46243840\", alpha=\"0.02\", expect_size=\"23121920\"] \n  48 [size=\"70936576\", alpha=\"0.05\", expect_size=\"35468288\"] \n  49 [size=\"45529088\", alpha=\"0.06\", expect_size=\"22764544\"] \n  50 [size=\"83589120\", alpha=\"0.13\", expect_size=\"41794560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.157.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31709867\", alpha=\"0.19\", expect_size=\"9512960\"] \n  1 -> 2 [size =\"9512960\"]\n  2 [size=\"146257920\", alpha=\"0.04\", expect_size=\"43877376\"] \n  2 -> 3 [size =\"43877376\"]\n  3 [size=\"40755200\", alpha=\"0.16\", expect_size=\"12226560\"] \n  3 -> 4 [size =\"12226560\"]\n  4 [size=\"41198933\", alpha=\"0.09\", expect_size=\"12359680\"] \n  4 -> 5 [size =\"12359680\"]\n  5 [size=\"144940373\", alpha=\"0.06\", expect_size=\"43482112\"] \n  5 -> 6 [size =\"43482112\"]\n  6 [size=\"36724053\", alpha=\"0.07\", expect_size=\"11017216\"] \n  6 -> 7 [size =\"11017216\"]\n  7 [size=\"119432533\", alpha=\"0.08\", expect_size=\"35829760\"] \n  7 -> 8 [size =\"35829760\"]\n  8 [size=\"32641707\", alpha=\"0.16\", expect_size=\"9792512\"] \n  8 -> 9 [size =\"9792512\"]\n  9 [size=\"43864747\", alpha=\"0.12\", expect_size=\"13159424\"] \n  9 -> 10 [size =\"13159424\"]\n  10 [size=\"80837973\", alpha=\"0.00\", expect_size=\"24251392\"] \n  10 -> 11 [size =\"24251392\"]\n  11 [size=\"99485013\", alpha=\"0.07\", expect_size=\"29845504\"] \n  11 -> 12 [size =\"29845504\"]\n  12 [size=\"90521600\", alpha=\"0.13\", expect_size=\"27156480\"] \n  12 -> 13 [size =\"27156480\"]\n  13 [size=\"125641387\", alpha=\"0.05\", expect_size=\"37692416\"] \n  13 -> 14 [size =\"37692416\"]\n  14 [size=\"90893653\", alpha=\"0.04\", expect_size=\"27268096\"] \n  14 -> 15 [size =\"27268096\"]\n  15 [size=\"161338027\", alpha=\"0.12\", expect_size=\"48401408\"] \n  15 -> 16 [size =\"48401408\"]\n  16 [size=\"54910293\", alpha=\"0.16\", expect_size=\"16473088\"] \n  16 -> 17 [size =\"16473088\"]\n  17 [size=\"109158400\", alpha=\"0.12\", expect_size=\"32747520\"] \n  17 -> 18 [size =\"32747520\"]\n  18 [size=\"168758613\", alpha=\"0.12\", expect_size=\"50627584\"] \n  18 -> 19 [size =\"50627584\"]\n  19 [size=\"140503040\", alpha=\"0.01\", expect_size=\"42150912\"] \n  19 -> 20 [size =\"42150912\"]\n  20 [size=\"77213013\", alpha=\"0.06\", expect_size=\"23163904\"] \n  20 -> 21 [size =\"23163904\"]\n  21 [size=\"78878720\", alpha=\"0.13\", expect_size=\"23663616\"] \n  21 -> 22 [size =\"23663616\"]\n  22 [size=\"130655573\", alpha=\"0.16\", expect_size=\"39196672\"] \n  22 -> 23 [size =\"39196672\"]\n  23 [size=\"71823360\", alpha=\"0.02\", expect_size=\"21547008\"] \n  23 -> 24 [size =\"21547008\"]\n  24 [size=\"114360320\", alpha=\"0.12\", expect_size=\"34308096\"] \n  24 -> 25 [size =\"34308096\"]\n  25 [size=\"145435307\", alpha=\"0.17\", expect_size=\"43630592\"] \n  25 -> 26 [size =\"43630592\"]\n  26 [size=\"84462933\", alpha=\"0.05\", expect_size=\"25338880\"] \n  26 -> 27 [size =\"25338880\"]\n  27 [size=\"50882560\", alpha=\"0.05\", expect_size=\"15264768\"] \n  27 -> 28 [size =\"15264768\"]\n  28 [size=\"142127787\", alpha=\"0.08\", expect_size=\"42638336\"] \n  28 -> 29 [size =\"42638336\"]\n  29 [size=\"80001707\", alpha=\"0.14\", expect_size=\"24000512\"] \n  29 -> 30 [size =\"24000512\"]\n  30 [size=\"91269120\", alpha=\"0.08\", expect_size=\"27380736\"] \n  30 -> 31 [size =\"27380736\"]\n  31 [size=\"141496320\", alpha=\"0.13\", expect_size=\"42448896\"] \n  31 -> 32 [size =\"42448896\"]\n  32 [size=\"87630507\", alpha=\"0.06\", expect_size=\"26289152\"] \n  32 -> 33 [size =\"26289152\"]\n  33 [size=\"58456747\", alpha=\"0.14\", expect_size=\"17537024\"] \n  33 -> 34 [size =\"17537024\"]\n  34 [size=\"77250560\", alpha=\"0.11\", expect_size=\"23175168\"] \n  34 -> 35 [size =\"23175168\"]\n  35 [size=\"167741440\", alpha=\"0.06\", expect_size=\"50322432\"] \n  35 -> 36 [size =\"50322432\"]\n  36 [size=\"142824107\", alpha=\"0.06\", expect_size=\"42847232\"] \n  36 -> 37 [size =\"42847232\"]\n  37 [size=\"21742933\", alpha=\"0.18\", expect_size=\"6522880\"] \n  37 -> 38 [size =\"6522880\"]\n  38 [size=\"63747413\", alpha=\"0.08\", expect_size=\"19124224\"] \n  38 -> 39 [size =\"19124224\"]\n  39 [size=\"126716587\", alpha=\"0.15\", expect_size=\"38014976\"] \n  39 -> 40 [size =\"38014976\"]\n  40 [size=\"79755947\", alpha=\"0.09\", expect_size=\"23926784\"] \n  40 -> 41 [size =\"23926784\"]\n  41 [size=\"143510187\", alpha=\"0.11\", expect_size=\"43053056\"] \n  41 -> 42 [size =\"43053056\"]\n  42 [size=\"85422080\", alpha=\"0.07\", expect_size=\"25626624\"] \n  42 -> 43 [size =\"25626624\"]\n  43 [size=\"135823360\", alpha=\"0.10\", expect_size=\"40747008\"] \n  43 -> 44 [size =\"40747008\"]\n  44 [size=\"88306347\", alpha=\"0.06\", expect_size=\"26491904\"] \n  44 -> 45 [size =\"26491904\"]\n  45 [size=\"173578240\", alpha=\"0.18\", expect_size=\"52073472\"] \n  45 -> 46 [size =\"52073472\"]\n  46 [size=\"63645013\", alpha=\"0.18\", expect_size=\"19093504\"] \n  46 -> 47 [size =\"19093504\"]\n  47 [size=\"110513493\", alpha=\"0.02\", expect_size=\"33154048\"] \n  47 -> 48 [size =\"33154048\"]\n  48 [size=\"91296427\", alpha=\"0.03\", expect_size=\"27388928\"] \n  48 -> 49 [size =\"27388928\"]\n  49 [size=\"157276160\", alpha=\"0.11\", expect_size=\"47182848\"] \n  49 -> 50 [size =\"47182848\"]\n  50 [size=\"116906667\", alpha=\"0.09\", expect_size=\"35072000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.158.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62900224\", alpha=\"0.13\", expect_size=\"31450112\"] \n  2 [size=\"31848448\", alpha=\"0.16\", expect_size=\"15924224\"] \n  3 [size=\"36390912\", alpha=\"0.14\", expect_size=\"18195456\"] \n  3 -> 5 [size =\"18195456\"]\n  4 [size=\"50022400\", alpha=\"0.11\", expect_size=\"25011200\"] \n  5 [size=\"53139456\", alpha=\"0.17\", expect_size=\"26569728\"] \n  5 -> 6 [size =\"26569728\"]\n  5 -> 7 [size =\"26569728\"]\n  6 [size=\"19345408\", alpha=\"0.16\", expect_size=\"9672704\"] \n  6 -> 9 [size =\"9672704\"]\n  7 [size=\"14884864\", alpha=\"0.18\", expect_size=\"7442432\"] \n  7 -> 8 [size =\"7442432\"]\n  8 [size=\"74708992\", alpha=\"0.17\", expect_size=\"37354496\"] \n  8 -> 11 [size =\"37354496\"]\n  8 -> 12 [size =\"37354496\"]\n  9 [size=\"57524224\", alpha=\"0.18\", expect_size=\"28762112\"] \n  9 -> 10 [size =\"28762112\"]\n  10 [size=\"77074432\", alpha=\"0.04\", expect_size=\"38537216\"] \n  10 -> 13 [size =\"38537216\"]\n  11 [size=\"42991616\", alpha=\"0.03\", expect_size=\"21495808\"] \n  12 [size=\"103464960\", alpha=\"0.08\", expect_size=\"51732480\"] \n  12 -> 13 [size =\"51732480\"]\n  13 [size=\"84230144\", alpha=\"0.07\", expect_size=\"42115072\"] \n  13 -> 14 [size =\"42115072\"]\n  13 -> 15 [size =\"42115072\"]\n  13 -> 16 [size =\"42115072\"]\n  13 -> 17 [size =\"42115072\"]\n  14 [size=\"55717888\", alpha=\"0.15\", expect_size=\"27858944\"] \n  15 [size=\"15452160\", alpha=\"0.09\", expect_size=\"7726080\"] \n  15 -> 19 [size =\"7726080\"]\n  15 -> 20 [size =\"7726080\"]\n  16 [size=\"97392640\", alpha=\"0.06\", expect_size=\"48696320\"] \n  16 -> 18 [size =\"48696320\"]\n  16 -> 20 [size =\"48696320\"]\n  16 -> 21 [size =\"48696320\"]\n  17 [size=\"79169536\", alpha=\"0.15\", expect_size=\"39584768\"] \n  17 -> 21 [size =\"39584768\"]\n  18 [size=\"69902336\", alpha=\"0.18\", expect_size=\"34951168\"] \n  18 -> 23 [size =\"34951168\"]\n  18 -> 24 [size =\"34951168\"]\n  19 [size=\"53991424\", alpha=\"0.18\", expect_size=\"26995712\"] \n  20 [size=\"46331904\", alpha=\"0.11\", expect_size=\"23165952\"] \n  20 -> 22 [size =\"23165952\"]\n  20 -> 23 [size =\"23165952\"]\n  21 [size=\"64653312\", alpha=\"0.16\", expect_size=\"32326656\"] \n  22 [size=\"77246464\", alpha=\"0.05\", expect_size=\"38623232\"] \n  23 [size=\"18778112\", alpha=\"0.19\", expect_size=\"9389056\"] \n  24 [size=\"50493440\", alpha=\"0.02\", expect_size=\"25246720\"] \n  24 -> 25 [size =\"25246720\"]\n  25 [size=\"26648576\", alpha=\"0.14\", expect_size=\"13324288\"] \n  25 -> 26 [size =\"13324288\"]\n  25 -> 27 [size =\"13324288\"]\n  25 -> 28 [size =\"13324288\"]\n  26 [size=\"71219200\", alpha=\"0.08\", expect_size=\"35609600\"] \n  26 -> 31 [size =\"35609600\"]\n  27 [size=\"98308096\", alpha=\"0.02\", expect_size=\"49154048\"] \n  27 -> 29 [size =\"49154048\"]\n  27 -> 30 [size =\"49154048\"]\n  28 [size=\"72609792\", alpha=\"0.10\", expect_size=\"36304896\"] \n  28 -> 29 [size =\"36304896\"]\n  28 -> 30 [size =\"36304896\"]\n  29 [size=\"63404032\", alpha=\"0.09\", expect_size=\"31702016\"] \n  29 -> 32 [size =\"31702016\"]\n  29 -> 33 [size =\"31702016\"]\n  29 -> 34 [size =\"31702016\"]\n  29 -> 35 [size =\"31702016\"]\n  30 [size=\"53946368\", alpha=\"0.01\", expect_size=\"26973184\"] \n  31 [size=\"12941312\", alpha=\"0.00\", expect_size=\"6470656\"] \n  32 [size=\"87177216\", alpha=\"0.19\", expect_size=\"43588608\"] \n  32 -> 37 [size =\"43588608\"]\n  32 -> 38 [size =\"43588608\"]\n  33 [size=\"14899200\", alpha=\"0.14\", expect_size=\"7449600\"] \n  33 -> 36 [size =\"7449600\"]\n  34 [size=\"10758144\", alpha=\"0.18\", expect_size=\"5379072\"] \n  34 -> 36 [size =\"5379072\"]\n  34 -> 37 [size =\"5379072\"]\n  35 [size=\"19924992\", alpha=\"0.03\", expect_size=\"9962496\"] \n  35 -> 38 [size =\"9962496\"]\n  36 [size=\"85051392\", alpha=\"0.07\", expect_size=\"42525696\"] \n  37 [size=\"26253312\", alpha=\"0.05\", expect_size=\"13126656\"] \n  37 -> 39 [size =\"13126656\"]\n  37 -> 40 [size =\"13126656\"]\n  37 -> 41 [size =\"13126656\"]\n  38 [size=\"36675584\", alpha=\"0.16\", expect_size=\"18337792\"] \n  39 [size=\"86171648\", alpha=\"0.16\", expect_size=\"43085824\"] \n  39 -> 42 [size =\"43085824\"]\n  40 [size=\"33034240\", alpha=\"0.04\", expect_size=\"16517120\"] \n  41 [size=\"38230016\", alpha=\"0.03\", expect_size=\"19115008\"] \n  42 [size=\"39892992\", alpha=\"0.16\", expect_size=\"19946496\"] \n  42 -> 43 [size =\"19946496\"]\n  42 -> 44 [size =\"19946496\"]\n  43 [size=\"36628480\", alpha=\"0.11\", expect_size=\"18314240\"] \n  43 -> 46 [size =\"18314240\"]\n  44 [size=\"102184960\", alpha=\"0.14\", expect_size=\"51092480\"] \n  44 -> 45 [size =\"51092480\"]\n  44 -> 47 [size =\"51092480\"]\n  45 [size=\"93048832\", alpha=\"0.01\", expect_size=\"46524416\"] \n  45 -> 48 [size =\"46524416\"]\n  46 [size=\"14188544\", alpha=\"0.01\", expect_size=\"7094272\"] \n  46 -> 49 [size =\"7094272\"]\n  47 [size=\"46884864\", alpha=\"0.19\", expect_size=\"23442432\"] \n  47 -> 49 [size =\"23442432\"]\n  48 [size=\"71079936\", alpha=\"0.11\", expect_size=\"35539968\"] \n  49 [size=\"51816448\", alpha=\"0.14\", expect_size=\"25908224\"] \n  49 -> 50 [size =\"25908224\"]\n  50 [size=\"32602112\", alpha=\"0.06\", expect_size=\"16301056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.159.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41484800\", alpha=\"0.03\", expect_size=\"16593920\"] \n  1 -> 5 [size =\"16593920\"]\n  1 -> 6 [size =\"16593920\"]\n  1 -> 7 [size =\"16593920\"]\n  1 -> 8 [size =\"16593920\"]\n  1 -> 9 [size =\"16593920\"]\n  1 -> 12 [size =\"16593920\"]\n  2 [size=\"79429120\", alpha=\"0.08\", expect_size=\"31771648\"] \n  2 -> 7 [size =\"31771648\"]\n  2 -> 10 [size =\"31771648\"]\n  2 -> 11 [size =\"31771648\"]\n  3 [size=\"49779200\", alpha=\"0.11\", expect_size=\"19911680\"] \n  3 -> 7 [size =\"19911680\"]\n  3 -> 9 [size =\"19911680\"]\n  3 -> 11 [size =\"19911680\"]\n  4 [size=\"96017920\", alpha=\"0.09\", expect_size=\"38407168\"] \n  4 -> 9 [size =\"38407168\"]\n  4 -> 10 [size =\"38407168\"]\n  4 -> 11 [size =\"38407168\"]\n  4 -> 12 [size =\"38407168\"]\n  4 -> 13 [size =\"38407168\"]\n  5 [size=\"37529600\", alpha=\"0.11\", expect_size=\"15011840\"] \n  5 -> 20 [size =\"15011840\"]\n  5 -> 21 [size =\"15011840\"]\n  5 -> 22 [size =\"15011840\"]\n  6 [size=\"128312320\", alpha=\"0.05\", expect_size=\"51324928\"] \n  6 -> 18 [size =\"51324928\"]\n  6 -> 22 [size =\"51324928\"]\n  7 [size=\"37086720\", alpha=\"0.08\", expect_size=\"14834688\"] \n  7 -> 15 [size =\"14834688\"]\n  7 -> 17 [size =\"14834688\"]\n  7 -> 20 [size =\"14834688\"]\n  8 [size=\"19863040\", alpha=\"0.10\", expect_size=\"7945216\"] \n  8 -> 14 [size =\"7945216\"]\n  8 -> 17 [size =\"7945216\"]\n  8 -> 19 [size =\"7945216\"]\n  8 -> 20 [size =\"7945216\"]\n  9 [size=\"121397760\", alpha=\"0.18\", expect_size=\"48559104\"] \n  9 -> 15 [size =\"48559104\"]\n  9 -> 17 [size =\"48559104\"]\n  9 -> 20 [size =\"48559104\"]\n  9 -> 20 [size =\"48559104\"]\n  9 -> 21 [size =\"48559104\"]\n  9 -> 22 [size =\"48559104\"]\n  10 [size=\"63800320\", alpha=\"0.12\", expect_size=\"25520128\"] \n  10 -> 14 [size =\"25520128\"]\n  10 -> 15 [size =\"25520128\"]\n  10 -> 16 [size =\"25520128\"]\n  10 -> 17 [size =\"25520128\"]\n  10 -> 20 [size =\"25520128\"]\n  10 -> 22 [size =\"25520128\"]\n  11 [size=\"128071680\", alpha=\"0.07\", expect_size=\"51228672\"] \n  11 -> 14 [size =\"51228672\"]\n  11 -> 17 [size =\"51228672\"]\n  11 -> 19 [size =\"51228672\"]\n  12 [size=\"28413440\", alpha=\"0.02\", expect_size=\"11365376\"] \n  12 -> 14 [size =\"11365376\"]\n  12 -> 19 [size =\"11365376\"]\n  12 -> 19 [size =\"11365376\"]\n  12 -> 21 [size =\"11365376\"]\n  12 -> 22 [size =\"11365376\"]\n  13 [size=\"78448640\", alpha=\"0.12\", expect_size=\"31379456\"] \n  13 -> 19 [size =\"31379456\"]\n  13 -> 22 [size =\"31379456\"]\n  14 [size=\"28144640\", alpha=\"0.05\", expect_size=\"11257856\"] \n  14 -> 23 [size =\"11257856\"]\n  14 -> 24 [size =\"11257856\"]\n  14 -> 25 [size =\"11257856\"]\n  14 -> 26 [size =\"11257856\"]\n  14 -> 28 [size =\"11257856\"]\n  15 [size=\"83146240\", alpha=\"0.16\", expect_size=\"33258496\"] \n  15 -> 23 [size =\"33258496\"]\n  15 -> 24 [size =\"33258496\"]\n  15 -> 25 [size =\"33258496\"]\n  15 -> 28 [size =\"33258496\"]\n  16 [size=\"30167040\", alpha=\"0.01\", expect_size=\"12066816\"] \n  16 -> 26 [size =\"12066816\"]\n  16 -> 27 [size =\"12066816\"]\n  16 -> 28 [size =\"12066816\"]\n  17 [size=\"60853760\", alpha=\"0.08\", expect_size=\"24341504\"] \n  17 -> 24 [size =\"24341504\"]\n  17 -> 26 [size =\"24341504\"]\n  17 -> 27 [size =\"24341504\"]\n  18 [size=\"106785280\", alpha=\"0.01\", expect_size=\"42714112\"] \n  18 -> 23 [size =\"42714112\"]\n  18 -> 24 [size =\"42714112\"]\n  18 -> 26 [size =\"42714112\"]\n  18 -> 27 [size =\"42714112\"]\n  19 [size=\"45788160\", alpha=\"0.12\", expect_size=\"18315264\"] \n  19 -> 25 [size =\"18315264\"]\n  19 -> 26 [size =\"18315264\"]\n  19 -> 27 [size =\"18315264\"]\n  19 -> 27 [size =\"18315264\"]\n  19 -> 28 [size =\"18315264\"]\n  20 [size=\"36316160\", alpha=\"0.05\", expect_size=\"14526464\"] \n  20 -> 25 [size =\"14526464\"]\n  20 -> 26 [size =\"14526464\"]\n  21 [size=\"105026560\", alpha=\"0.02\", expect_size=\"42010624\"] \n  21 -> 26 [size =\"42010624\"]\n  21 -> 28 [size =\"42010624\"]\n  22 [size=\"28272640\", alpha=\"0.10\", expect_size=\"11309056\"] \n  22 -> 24 [size =\"11309056\"]\n  22 -> 25 [size =\"11309056\"]\n  22 -> 28 [size =\"11309056\"]\n  23 [size=\"38287360\", alpha=\"0.05\", expect_size=\"15314944\"] \n  23 -> 29 [size =\"15314944\"]\n  23 -> 30 [size =\"15314944\"]\n  23 -> 32 [size =\"15314944\"]\n  24 [size=\"108567040\", alpha=\"0.13\", expect_size=\"43426816\"] \n  24 -> 29 [size =\"43426816\"]\n  24 -> 30 [size =\"43426816\"]\n  24 -> 33 [size =\"43426816\"]\n  24 -> 34 [size =\"43426816\"]\n  25 [size=\"21606400\", alpha=\"0.06\", expect_size=\"8642560\"] \n  25 -> 30 [size =\"8642560\"]\n  25 -> 33 [size =\"8642560\"]\n  25 -> 34 [size =\"8642560\"]\n  26 [size=\"118008320\", alpha=\"0.18\", expect_size=\"47203328\"] \n  26 -> 29 [size =\"47203328\"]\n  26 -> 33 [size =\"47203328\"]\n  26 -> 35 [size =\"47203328\"]\n  27 [size=\"121743360\", alpha=\"0.14\", expect_size=\"48697344\"] \n  27 -> 31 [size =\"48697344\"]\n  27 -> 32 [size =\"48697344\"]\n  27 -> 33 [size =\"48697344\"]\n  27 -> 35 [size =\"48697344\"]\n  28 [size=\"49602560\", alpha=\"0.12\", expect_size=\"19841024\"] \n  28 -> 29 [size =\"19841024\"]\n  28 -> 32 [size =\"19841024\"]\n  28 -> 34 [size =\"19841024\"]\n  29 [size=\"54812160\", alpha=\"0.08\", expect_size=\"21924864\"] \n  30 [size=\"128125440\", alpha=\"0.12\", expect_size=\"51250176\"] \n  31 [size=\"37690880\", alpha=\"0.16\", expect_size=\"15076352\"] \n  31 -> 36 [size =\"15076352\"]\n  31 -> 38 [size =\"15076352\"]\n  32 [size=\"47818240\", alpha=\"0.02\", expect_size=\"19127296\"] \n  32 -> 36 [size =\"19127296\"]\n  32 -> 37 [size =\"19127296\"]\n  33 [size=\"106864640\", alpha=\"0.20\", expect_size=\"42745856\"] \n  33 -> 36 [size =\"42745856\"]\n  33 -> 37 [size =\"42745856\"]\n  34 [size=\"15572480\", alpha=\"0.00\", expect_size=\"6228992\"] \n  34 -> 37 [size =\"6228992\"]\n  35 [size=\"92787200\", alpha=\"0.12\", expect_size=\"37114880\"] \n  35 -> 36 [size =\"37114880\"]\n  35 -> 37 [size =\"37114880\"]\n  36 [size=\"126999040\", alpha=\"0.07\", expect_size=\"50799616\"] \n  36 -> 40 [size =\"50799616\"]\n  36 -> 41 [size =\"50799616\"]\n  36 -> 43 [size =\"50799616\"]\n  37 [size=\"115453440\", alpha=\"0.10\", expect_size=\"46181376\"] \n  37 -> 39 [size =\"46181376\"]\n  37 -> 41 [size =\"46181376\"]\n  37 -> 42 [size =\"46181376\"]\n  37 -> 44 [size =\"46181376\"]\n  37 -> 45 [size =\"46181376\"]\n  37 -> 46 [size =\"46181376\"]\n  38 [size=\"82129920\", alpha=\"0.09\", expect_size=\"32851968\"] \n  38 -> 39 [size =\"32851968\"]\n  38 -> 41 [size =\"32851968\"]\n  38 -> 42 [size =\"32851968\"]\n  38 -> 45 [size =\"32851968\"]\n  39 [size=\"33781760\", alpha=\"0.13\", expect_size=\"13512704\"] \n  39 -> 48 [size =\"13512704\"]\n  39 -> 50 [size =\"13512704\"]\n  40 [size=\"78707200\", alpha=\"0.02\", expect_size=\"31482880\"] \n  40 -> 48 [size =\"31482880\"]\n  41 [size=\"31669760\", alpha=\"0.06\", expect_size=\"12667904\"] \n  41 -> 48 [size =\"12667904\"]\n  41 -> 49 [size =\"12667904\"]\n  42 [size=\"125598720\", alpha=\"0.12\", expect_size=\"50239488\"] \n  42 -> 47 [size =\"50239488\"]\n  42 -> 48 [size =\"50239488\"]\n  43 [size=\"21908480\", alpha=\"0.03\", expect_size=\"8763392\"] \n  43 -> 47 [size =\"8763392\"]\n  43 -> 49 [size =\"8763392\"]\n  44 [size=\"21875200\", alpha=\"0.10\", expect_size=\"8750080\"] \n  44 -> 47 [size =\"8750080\"]\n  44 -> 49 [size =\"8750080\"]\n  45 [size=\"22568960\", alpha=\"0.18\", expect_size=\"9027584\"] \n  45 -> 47 [size =\"9027584\"]\n  45 -> 49 [size =\"9027584\"]\n  45 -> 50 [size =\"9027584\"]\n  46 [size=\"94033920\", alpha=\"0.04\", expect_size=\"37613568\"] \n  46 -> 49 [size =\"37613568\"]\n  46 -> 50 [size =\"37613568\"]\n  47 [size=\"17400320\", alpha=\"0.09\", expect_size=\"6960128\"] \n  48 [size=\"76346880\", alpha=\"0.20\", expect_size=\"30538752\"] \n  49 [size=\"128624640\", alpha=\"0.18\", expect_size=\"51449856\"] \n  50 [size=\"88952320\", alpha=\"0.15\", expect_size=\"35580928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53332480\", alpha=\"0.02\", expect_size=\"21332992\"] \n  1 -> 5 [size =\"21332992\"]\n  1 -> 6 [size =\"21332992\"]\n  2 [size=\"79526400\", alpha=\"0.03\", expect_size=\"31810560\"] \n  3 [size=\"102131200\", alpha=\"0.04\", expect_size=\"40852480\"] \n  3 -> 6 [size =\"40852480\"]\n  4 [size=\"87459840\", alpha=\"0.01\", expect_size=\"34983936\"] \n  5 [size=\"15523840\", alpha=\"0.16\", expect_size=\"6209536\"] \n  5 -> 7 [size =\"6209536\"]\n  5 -> 8 [size =\"6209536\"]\n  6 [size=\"16199680\", alpha=\"0.09\", expect_size=\"6479872\"] \n  7 [size=\"83548160\", alpha=\"0.17\", expect_size=\"33419264\"] \n  7 -> 10 [size =\"33419264\"]\n  8 [size=\"74065920\", alpha=\"0.10\", expect_size=\"29626368\"] \n  8 -> 9 [size =\"29626368\"]\n  8 -> 11 [size =\"29626368\"]\n  9 [size=\"74181120\", alpha=\"0.02\", expect_size=\"29672448\"] \n  10 [size=\"103961600\", alpha=\"0.12\", expect_size=\"41584640\"] \n  10 -> 12 [size =\"41584640\"]\n  11 [size=\"83814400\", alpha=\"0.09\", expect_size=\"33525760\"] \n  12 [size=\"95936000\", alpha=\"0.10\", expect_size=\"38374400\"] \n  12 -> 13 [size =\"38374400\"]\n  12 -> 14 [size =\"38374400\"]\n  12 -> 15 [size =\"38374400\"]\n  12 -> 16 [size =\"38374400\"]\n  13 [size=\"116057600\", alpha=\"0.19\", expect_size=\"46423040\"] \n  13 -> 17 [size =\"46423040\"]\n  13 -> 19 [size =\"46423040\"]\n  14 [size=\"19307520\", alpha=\"0.12\", expect_size=\"7723008\"] \n  14 -> 18 [size =\"7723008\"]\n  15 [size=\"25697280\", alpha=\"0.10\", expect_size=\"10278912\"] \n  16 [size=\"119211520\", alpha=\"0.06\", expect_size=\"47684608\"] \n  16 -> 17 [size =\"47684608\"]\n  16 -> 19 [size =\"47684608\"]\n  17 [size=\"57036800\", alpha=\"0.08\", expect_size=\"22814720\"] \n  17 -> 20 [size =\"22814720\"]\n  18 [size=\"38551040\", alpha=\"0.18\", expect_size=\"15420416\"] \n  18 -> 20 [size =\"15420416\"]\n  18 -> 21 [size =\"15420416\"]\n  18 -> 22 [size =\"15420416\"]\n  19 [size=\"96020480\", alpha=\"0.02\", expect_size=\"38408192\"] \n  19 -> 22 [size =\"38408192\"]\n  20 [size=\"108264960\", alpha=\"0.08\", expect_size=\"43305984\"] \n  20 -> 24 [size =\"43305984\"]\n  21 [size=\"59604480\", alpha=\"0.00\", expect_size=\"23841792\"] \n  22 [size=\"115107840\", alpha=\"0.04\", expect_size=\"46043136\"] \n  22 -> 23 [size =\"46043136\"]\n  23 [size=\"55162880\", alpha=\"0.02\", expect_size=\"22065152\"] \n  24 [size=\"50406400\", alpha=\"0.14\", expect_size=\"20162560\"] \n  24 -> 25 [size =\"20162560\"]\n  24 -> 26 [size =\"20162560\"]\n  25 [size=\"121436160\", alpha=\"0.06\", expect_size=\"48574464\"] \n  25 -> 27 [size =\"48574464\"]\n  26 [size=\"62123520\", alpha=\"0.18\", expect_size=\"24849408\"] \n  26 -> 28 [size =\"24849408\"]\n  26 -> 29 [size =\"24849408\"]\n  26 -> 30 [size =\"24849408\"]\n  27 [size=\"100093440\", alpha=\"0.02\", expect_size=\"40037376\"] \n  28 [size=\"28779520\", alpha=\"0.17\", expect_size=\"11511808\"] \n  28 -> 31 [size =\"11511808\"]\n  29 [size=\"15984640\", alpha=\"0.02\", expect_size=\"6393856\"] \n  29 -> 31 [size =\"6393856\"]\n  29 -> 32 [size =\"6393856\"]\n  30 [size=\"27678720\", alpha=\"0.02\", expect_size=\"11071488\"] \n  30 -> 32 [size =\"11071488\"]\n  31 [size=\"72412160\", alpha=\"0.14\", expect_size=\"28964864\"] \n  31 -> 35 [size =\"28964864\"]\n  32 [size=\"72445440\", alpha=\"0.01\", expect_size=\"28978176\"] \n  32 -> 33 [size =\"28978176\"]\n  32 -> 34 [size =\"28978176\"]\n  33 [size=\"94202880\", alpha=\"0.05\", expect_size=\"37681152\"] \n  34 [size=\"108741120\", alpha=\"0.10\", expect_size=\"43496448\"] \n  34 -> 36 [size =\"43496448\"]\n  35 [size=\"72450560\", alpha=\"0.17\", expect_size=\"28980224\"] \n  35 -> 36 [size =\"28980224\"]\n  36 [size=\"105717760\", alpha=\"0.02\", expect_size=\"42287104\"] \n  36 -> 37 [size =\"42287104\"]\n  36 -> 38 [size =\"42287104\"]\n  36 -> 39 [size =\"42287104\"]\n  37 [size=\"93665280\", alpha=\"0.14\", expect_size=\"37466112\"] \n  38 [size=\"106741760\", alpha=\"0.11\", expect_size=\"42696704\"] \n  38 -> 42 [size =\"42696704\"]\n  39 [size=\"87936000\", alpha=\"0.02\", expect_size=\"35174400\"] \n  39 -> 40 [size =\"35174400\"]\n  39 -> 41 [size =\"35174400\"]\n  40 [size=\"98327040\", alpha=\"0.09\", expect_size=\"39330816\"] \n  40 -> 43 [size =\"39330816\"]\n  41 [size=\"110804480\", alpha=\"0.04\", expect_size=\"44321792\"] \n  42 [size=\"78113280\", alpha=\"0.16\", expect_size=\"31245312\"] \n  42 -> 44 [size =\"31245312\"]\n  43 [size=\"83079680\", alpha=\"0.15\", expect_size=\"33231872\"] \n  43 -> 45 [size =\"33231872\"]\n  44 [size=\"110696960\", alpha=\"0.01\", expect_size=\"44278784\"] \n  45 [size=\"49195520\", alpha=\"0.04\", expect_size=\"19678208\"] \n  45 -> 46 [size =\"19678208\"]\n  45 -> 47 [size =\"19678208\"]\n  46 [size=\"29132800\", alpha=\"0.17\", expect_size=\"11653120\"] \n  46 -> 48 [size =\"11653120\"]\n  46 -> 49 [size =\"11653120\"]\n  47 [size=\"38650880\", alpha=\"0.04\", expect_size=\"15460352\"] \n  47 -> 50 [size =\"15460352\"]\n  48 [size=\"121679360\", alpha=\"0.13\", expect_size=\"48671744\"] \n  49 [size=\"67737600\", alpha=\"0.04\", expect_size=\"27095040\"] \n  50 [size=\"77698560\", alpha=\"0.16\", expect_size=\"31079424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.160.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113597440\", alpha=\"0.14\", expect_size=\"45438976\"] \n  1 -> 9 [size =\"45438976\"]\n  1 -> 12 [size =\"45438976\"]\n  2 [size=\"58667520\", alpha=\"0.01\", expect_size=\"23467008\"] \n  3 [size=\"106790400\", alpha=\"0.09\", expect_size=\"42716160\"] \n  3 -> 7 [size =\"42716160\"]\n  3 -> 11 [size =\"42716160\"]\n  4 [size=\"40394240\", alpha=\"0.16\", expect_size=\"16157696\"] \n  4 -> 7 [size =\"16157696\"]\n  4 -> 8 [size =\"16157696\"]\n  4 -> 10 [size =\"16157696\"]\n  4 -> 11 [size =\"16157696\"]\n  5 [size=\"113566720\", alpha=\"0.09\", expect_size=\"45426688\"] \n  5 -> 10 [size =\"45426688\"]\n  5 -> 12 [size =\"45426688\"]\n  6 [size=\"38899200\", alpha=\"0.05\", expect_size=\"15559680\"] \n  6 -> 10 [size =\"15559680\"]\n  7 [size=\"86553600\", alpha=\"0.12\", expect_size=\"34621440\"] \n  7 -> 17 [size =\"34621440\"]\n  7 -> 18 [size =\"34621440\"]\n  8 [size=\"34915840\", alpha=\"0.18\", expect_size=\"13966336\"] \n  8 -> 14 [size =\"13966336\"]\n  8 -> 15 [size =\"13966336\"]\n  9 [size=\"57000960\", alpha=\"0.10\", expect_size=\"22800384\"] \n  9 -> 13 [size =\"22800384\"]\n  9 -> 15 [size =\"22800384\"]\n  9 -> 17 [size =\"22800384\"]\n  10 [size=\"101872640\", alpha=\"0.07\", expect_size=\"40749056\"] \n  10 -> 16 [size =\"40749056\"]\n  11 [size=\"117898240\", alpha=\"0.16\", expect_size=\"47159296\"] \n  11 -> 16 [size =\"47159296\"]\n  11 -> 18 [size =\"47159296\"]\n  12 [size=\"79628800\", alpha=\"0.17\", expect_size=\"31851520\"] \n  12 -> 14 [size =\"31851520\"]\n  12 -> 16 [size =\"31851520\"]\n  12 -> 17 [size =\"31851520\"]\n  12 -> 18 [size =\"31851520\"]\n  13 [size=\"83148800\", alpha=\"0.16\", expect_size=\"33259520\"] \n  13 -> 20 [size =\"33259520\"]\n  13 -> 22 [size =\"33259520\"]\n  13 -> 23 [size =\"33259520\"]\n  14 [size=\"17062400\", alpha=\"0.07\", expect_size=\"6824960\"] \n  14 -> 19 [size =\"6824960\"]\n  14 -> 21 [size =\"6824960\"]\n  14 -> 23 [size =\"6824960\"]\n  15 [size=\"110730240\", alpha=\"0.10\", expect_size=\"44292096\"] \n  15 -> 19 [size =\"44292096\"]\n  15 -> 23 [size =\"44292096\"]\n  16 [size=\"47262720\", alpha=\"0.14\", expect_size=\"18905088\"] \n  16 -> 19 [size =\"18905088\"]\n  16 -> 21 [size =\"18905088\"]\n  17 [size=\"73907200\", alpha=\"0.19\", expect_size=\"29562880\"] \n  17 -> 24 [size =\"29562880\"]\n  18 [size=\"24785920\", alpha=\"0.07\", expect_size=\"9914368\"] \n  18 -> 25 [size =\"9914368\"]\n  19 [size=\"130508800\", alpha=\"0.15\", expect_size=\"52203520\"] \n  19 -> 28 [size =\"52203520\"]\n  19 -> 29 [size =\"52203520\"]\n  20 [size=\"68702720\", alpha=\"0.13\", expect_size=\"27481088\"] \n  20 -> 28 [size =\"27481088\"]\n  20 -> 29 [size =\"27481088\"]\n  20 -> 31 [size =\"27481088\"]\n  21 [size=\"111662080\", alpha=\"0.08\", expect_size=\"44664832\"] \n  21 -> 27 [size =\"44664832\"]\n  21 -> 28 [size =\"44664832\"]\n  21 -> 31 [size =\"44664832\"]\n  22 [size=\"88568320\", alpha=\"0.11\", expect_size=\"35427328\"] \n  22 -> 26 [size =\"35427328\"]\n  23 [size=\"70497280\", alpha=\"0.10\", expect_size=\"28198912\"] \n  23 -> 29 [size =\"28198912\"]\n  23 -> 30 [size =\"28198912\"]\n  24 [size=\"44784640\", alpha=\"0.13\", expect_size=\"17913856\"] \n  24 -> 27 [size =\"17913856\"]\n  24 -> 31 [size =\"17913856\"]\n  25 [size=\"85048320\", alpha=\"0.13\", expect_size=\"34019328\"] \n  25 -> 28 [size =\"34019328\"]\n  26 [size=\"27330560\", alpha=\"0.18\", expect_size=\"10932224\"] \n  26 -> 34 [size =\"10932224\"]\n  26 -> 35 [size =\"10932224\"]\n  26 -> 36 [size =\"10932224\"]\n  26 -> 37 [size =\"10932224\"]\n  27 [size=\"108917760\", alpha=\"0.15\", expect_size=\"43567104\"] \n  27 -> 32 [size =\"43567104\"]\n  27 -> 33 [size =\"43567104\"]\n  27 -> 34 [size =\"43567104\"]\n  27 -> 35 [size =\"43567104\"]\n  28 [size=\"102712320\", alpha=\"0.16\", expect_size=\"41084928\"] \n  29 [size=\"25297920\", alpha=\"0.04\", expect_size=\"10119168\"] \n  29 -> 34 [size =\"10119168\"]\n  30 [size=\"115845120\", alpha=\"0.08\", expect_size=\"46338048\"] \n  30 -> 32 [size =\"46338048\"]\n  30 -> 33 [size =\"46338048\"]\n  30 -> 37 [size =\"46338048\"]\n  31 [size=\"76682240\", alpha=\"0.09\", expect_size=\"30672896\"] \n  31 -> 33 [size =\"30672896\"]\n  31 -> 37 [size =\"30672896\"]\n  32 [size=\"126266880\", alpha=\"0.01\", expect_size=\"50506752\"] \n  33 [size=\"74229760\", alpha=\"0.05\", expect_size=\"29691904\"] \n  33 -> 40 [size =\"29691904\"]\n  33 -> 41 [size =\"29691904\"]\n  33 -> 44 [size =\"29691904\"]\n  34 [size=\"14259200\", alpha=\"0.10\", expect_size=\"5703680\"] \n  34 -> 38 [size =\"5703680\"]\n  34 -> 39 [size =\"5703680\"]\n  34 -> 41 [size =\"5703680\"]\n  34 -> 42 [size =\"5703680\"]\n  34 -> 44 [size =\"5703680\"]\n  35 [size=\"91607040\", alpha=\"0.12\", expect_size=\"36642816\"] \n  35 -> 38 [size =\"36642816\"]\n  35 -> 43 [size =\"36642816\"]\n  36 [size=\"52835840\", alpha=\"0.19\", expect_size=\"21134336\"] \n  36 -> 41 [size =\"21134336\"]\n  36 -> 43 [size =\"21134336\"]\n  36 -> 44 [size =\"21134336\"]\n  37 [size=\"41710080\", alpha=\"0.17\", expect_size=\"16684032\"] \n  37 -> 38 [size =\"16684032\"]\n  37 -> 43 [size =\"16684032\"]\n  38 [size=\"13706240\", alpha=\"0.16\", expect_size=\"5482496\"] \n  38 -> 45 [size =\"5482496\"]\n  38 -> 46 [size =\"5482496\"]\n  38 -> 48 [size =\"5482496\"]\n  39 [size=\"108602880\", alpha=\"0.16\", expect_size=\"43441152\"] \n  39 -> 47 [size =\"43441152\"]\n  39 -> 50 [size =\"43441152\"]\n  40 [size=\"16396800\", alpha=\"0.05\", expect_size=\"6558720\"] \n  40 -> 45 [size =\"6558720\"]\n  40 -> 49 [size =\"6558720\"]\n  41 [size=\"61788160\", alpha=\"0.10\", expect_size=\"24715264\"] \n  41 -> 49 [size =\"24715264\"]\n  42 [size=\"113638400\", alpha=\"0.09\", expect_size=\"45455360\"] \n  42 -> 45 [size =\"45455360\"]\n  42 -> 50 [size =\"45455360\"]\n  43 [size=\"120509440\", alpha=\"0.17\", expect_size=\"48203776\"] \n  43 -> 46 [size =\"48203776\"]\n  44 [size=\"34478080\", alpha=\"0.10\", expect_size=\"13791232\"] \n  44 -> 46 [size =\"13791232\"]\n  44 -> 49 [size =\"13791232\"]\n  45 [size=\"95431680\", alpha=\"0.16\", expect_size=\"38172672\"] \n  46 [size=\"47096320\", alpha=\"0.04\", expect_size=\"18838528\"] \n  47 [size=\"41597440\", alpha=\"0.08\", expect_size=\"16638976\"] \n  48 [size=\"21772800\", alpha=\"0.08\", expect_size=\"8709120\"] \n  49 [size=\"117260800\", alpha=\"0.09\", expect_size=\"46904320\"] \n  50 [size=\"91576320\", alpha=\"0.08\", expect_size=\"36630528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.161.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67557376\", alpha=\"0.14\", expect_size=\"33778688\"] \n  1 -> 5 [size =\"33778688\"]\n  1 -> 6 [size =\"33778688\"]\n  2 [size=\"42534912\", alpha=\"0.05\", expect_size=\"21267456\"] \n  2 -> 4 [size =\"21267456\"]\n  2 -> 5 [size =\"21267456\"]\n  3 [size=\"90492928\", alpha=\"0.15\", expect_size=\"45246464\"] \n  3 -> 4 [size =\"45246464\"]\n  3 -> 6 [size =\"45246464\"]\n  4 [size=\"51804160\", alpha=\"0.10\", expect_size=\"25902080\"] \n  4 -> 7 [size =\"25902080\"]\n  4 -> 10 [size =\"25902080\"]\n  4 -> 13 [size =\"25902080\"]\n  5 [size=\"35827712\", alpha=\"0.19\", expect_size=\"17913856\"] \n  5 -> 10 [size =\"17913856\"]\n  5 -> 11 [size =\"17913856\"]\n  5 -> 12 [size =\"17913856\"]\n  6 [size=\"22673408\", alpha=\"0.11\", expect_size=\"11336704\"] \n  6 -> 8 [size =\"11336704\"]\n  6 -> 9 [size =\"11336704\"]\n  7 [size=\"23117824\", alpha=\"0.06\", expect_size=\"11558912\"] \n  7 -> 15 [size =\"11558912\"]\n  7 -> 17 [size =\"11558912\"]\n  8 [size=\"68358144\", alpha=\"0.06\", expect_size=\"34179072\"] \n  8 -> 14 [size =\"34179072\"]\n  8 -> 15 [size =\"34179072\"]\n  8 -> 18 [size =\"34179072\"]\n  8 -> 21 [size =\"34179072\"]\n  9 [size=\"33449984\", alpha=\"0.11\", expect_size=\"16724992\"] \n  9 -> 17 [size =\"16724992\"]\n  9 -> 20 [size =\"16724992\"]\n  10 [size=\"25448448\", alpha=\"0.16\", expect_size=\"12724224\"] \n  10 -> 16 [size =\"12724224\"]\n  10 -> 18 [size =\"12724224\"]\n  10 -> 20 [size =\"12724224\"]\n  10 -> 21 [size =\"12724224\"]\n  11 [size=\"21616640\", alpha=\"0.20\", expect_size=\"10808320\"] \n  11 -> 16 [size =\"10808320\"]\n  11 -> 17 [size =\"10808320\"]\n  11 -> 19 [size =\"10808320\"]\n  12 [size=\"88250368\", alpha=\"0.12\", expect_size=\"44125184\"] \n  12 -> 14 [size =\"44125184\"]\n  12 -> 17 [size =\"44125184\"]\n  12 -> 19 [size =\"44125184\"]\n  13 [size=\"19630080\", alpha=\"0.08\", expect_size=\"9815040\"] \n  13 -> 15 [size =\"9815040\"]\n  13 -> 21 [size =\"9815040\"]\n  14 [size=\"90853376\", alpha=\"0.00\", expect_size=\"45426688\"] \n  14 -> 22 [size =\"45426688\"]\n  14 -> 25 [size =\"45426688\"]\n  15 [size=\"42762240\", alpha=\"0.18\", expect_size=\"21381120\"] \n  15 -> 22 [size =\"21381120\"]\n  15 -> 23 [size =\"21381120\"]\n  15 -> 24 [size =\"21381120\"]\n  15 -> 26 [size =\"21381120\"]\n  16 [size=\"38428672\", alpha=\"0.01\", expect_size=\"19214336\"] \n  16 -> 22 [size =\"19214336\"]\n  16 -> 23 [size =\"19214336\"]\n  16 -> 26 [size =\"19214336\"]\n  17 [size=\"88848384\", alpha=\"0.16\", expect_size=\"44424192\"] \n  18 [size=\"23109632\", alpha=\"0.12\", expect_size=\"11554816\"] \n  18 -> 26 [size =\"11554816\"]\n  19 [size=\"52854784\", alpha=\"0.02\", expect_size=\"26427392\"] \n  19 -> 23 [size =\"26427392\"]\n  20 [size=\"11493376\", alpha=\"0.04\", expect_size=\"5746688\"] \n  20 -> 23 [size =\"5746688\"]\n  20 -> 24 [size =\"5746688\"]\n  20 -> 25 [size =\"5746688\"]\n  21 [size=\"85600256\", alpha=\"0.18\", expect_size=\"42800128\"] \n  21 -> 24 [size =\"42800128\"]\n  22 [size=\"83417088\", alpha=\"0.19\", expect_size=\"41708544\"] \n  22 -> 30 [size =\"41708544\"]\n  22 -> 31 [size =\"41708544\"]\n  22 -> 32 [size =\"41708544\"]\n  23 [size=\"46295040\", alpha=\"0.17\", expect_size=\"23147520\"] \n  23 -> 28 [size =\"23147520\"]\n  23 -> 32 [size =\"23147520\"]\n  23 -> 35 [size =\"23147520\"]\n  24 [size=\"84527104\", alpha=\"0.04\", expect_size=\"42263552\"] \n  24 -> 27 [size =\"42263552\"]\n  24 -> 28 [size =\"42263552\"]\n  24 -> 31 [size =\"42263552\"]\n  24 -> 34 [size =\"42263552\"]\n  25 [size=\"86163456\", alpha=\"0.16\", expect_size=\"43081728\"] \n  25 -> 27 [size =\"43081728\"]\n  25 -> 33 [size =\"43081728\"]\n  26 [size=\"74655744\", alpha=\"0.11\", expect_size=\"37327872\"] \n  26 -> 29 [size =\"37327872\"]\n  26 -> 33 [size =\"37327872\"]\n  27 [size=\"79755264\", alpha=\"0.08\", expect_size=\"39877632\"] \n  27 -> 37 [size =\"39877632\"]\n  27 -> 39 [size =\"39877632\"]\n  27 -> 41 [size =\"39877632\"]\n  28 [size=\"62021632\", alpha=\"0.18\", expect_size=\"31010816\"] \n  28 -> 41 [size =\"31010816\"]\n  29 [size=\"23988224\", alpha=\"0.13\", expect_size=\"11994112\"] \n  29 -> 38 [size =\"11994112\"]\n  30 [size=\"33306624\", alpha=\"0.10\", expect_size=\"16653312\"] \n  30 -> 36 [size =\"16653312\"]\n  31 [size=\"52824064\", alpha=\"0.10\", expect_size=\"26412032\"] \n  32 [size=\"45240320\", alpha=\"0.07\", expect_size=\"22620160\"] \n  32 -> 40 [size =\"22620160\"]\n  32 -> 42 [size =\"22620160\"]\n  33 [size=\"42604544\", alpha=\"0.05\", expect_size=\"21302272\"] \n  33 -> 36 [size =\"21302272\"]\n  33 -> 42 [size =\"21302272\"]\n  34 [size=\"30558208\", alpha=\"0.01\", expect_size=\"15279104\"] \n  34 -> 36 [size =\"15279104\"]\n  34 -> 38 [size =\"15279104\"]\n  35 [size=\"50415616\", alpha=\"0.03\", expect_size=\"25207808\"] \n  35 -> 38 [size =\"25207808\"]\n  35 -> 39 [size =\"25207808\"]\n  35 -> 40 [size =\"25207808\"]\n  35 -> 42 [size =\"25207808\"]\n  36 [size=\"33153024\", alpha=\"0.12\", expect_size=\"16576512\"] \n  36 -> 47 [size =\"16576512\"]\n  37 [size=\"85325824\", alpha=\"0.16\", expect_size=\"42662912\"] \n  37 -> 43 [size =\"42662912\"]\n  38 [size=\"30824448\", alpha=\"0.04\", expect_size=\"15412224\"] \n  38 -> 43 [size =\"15412224\"]\n  38 -> 45 [size =\"15412224\"]\n  38 -> 46 [size =\"15412224\"]\n  39 [size=\"21897216\", alpha=\"0.00\", expect_size=\"10948608\"] \n  40 [size=\"81506304\", alpha=\"0.17\", expect_size=\"40753152\"] \n  40 -> 45 [size =\"40753152\"]\n  40 -> 47 [size =\"40753152\"]\n  41 [size=\"35870720\", alpha=\"0.10\", expect_size=\"17935360\"] \n  41 -> 43 [size =\"17935360\"]\n  41 -> 44 [size =\"17935360\"]\n  41 -> 45 [size =\"17935360\"]\n  41 -> 46 [size =\"17935360\"]\n  42 [size=\"84867072\", alpha=\"0.18\", expect_size=\"42433536\"] \n  42 -> 43 [size =\"42433536\"]\n  42 -> 44 [size =\"42433536\"]\n  42 -> 45 [size =\"42433536\"]\n  43 [size=\"23144448\", alpha=\"0.14\", expect_size=\"11572224\"] \n  43 -> 49 [size =\"11572224\"]\n  43 -> 50 [size =\"11572224\"]\n  44 [size=\"48590848\", alpha=\"0.05\", expect_size=\"24295424\"] \n  44 -> 50 [size =\"24295424\"]\n  45 [size=\"52832256\", alpha=\"0.13\", expect_size=\"26416128\"] \n  46 [size=\"68143104\", alpha=\"0.14\", expect_size=\"34071552\"] \n  46 -> 48 [size =\"34071552\"]\n  46 -> 49 [size =\"34071552\"]\n  47 [size=\"28098560\", alpha=\"0.09\", expect_size=\"14049280\"] \n  47 -> 48 [size =\"14049280\"]\n  48 [size=\"11059200\", alpha=\"0.16\", expect_size=\"5529600\"] \n  49 [size=\"29655040\", alpha=\"0.05\", expect_size=\"14827520\"] \n  50 [size=\"31879168\", alpha=\"0.20\", expect_size=\"15939584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.162.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70326272\", alpha=\"0.15\", expect_size=\"35163136\"] \n  1 -> 3 [size =\"35163136\"]\n  2 [size=\"76042240\", alpha=\"0.02\", expect_size=\"38021120\"] \n  2 -> 4 [size =\"38021120\"]\n  3 [size=\"100255744\", alpha=\"0.19\", expect_size=\"50127872\"] \n  3 -> 6 [size =\"50127872\"]\n  3 -> 7 [size =\"50127872\"]\n  4 [size=\"50808832\", alpha=\"0.03\", expect_size=\"25404416\"] \n  4 -> 5 [size =\"25404416\"]\n  4 -> 6 [size =\"25404416\"]\n  5 [size=\"82544640\", alpha=\"0.01\", expect_size=\"41272320\"] \n  5 -> 10 [size =\"41272320\"]\n  6 [size=\"45965312\", alpha=\"0.07\", expect_size=\"22982656\"] \n  6 -> 8 [size =\"22982656\"]\n  7 [size=\"75290624\", alpha=\"0.12\", expect_size=\"37645312\"] \n  7 -> 8 [size =\"37645312\"]\n  7 -> 9 [size =\"37645312\"]\n  8 [size=\"94820352\", alpha=\"0.05\", expect_size=\"47410176\"] \n  8 -> 12 [size =\"47410176\"]\n  8 -> 13 [size =\"47410176\"]\n  9 [size=\"69224448\", alpha=\"0.11\", expect_size=\"34612224\"] \n  9 -> 11 [size =\"34612224\"]\n  10 [size=\"36769792\", alpha=\"0.07\", expect_size=\"18384896\"] \n  10 -> 11 [size =\"18384896\"]\n  10 -> 13 [size =\"18384896\"]\n  11 [size=\"30064640\", alpha=\"0.14\", expect_size=\"15032320\"] \n  11 -> 14 [size =\"15032320\"]\n  11 -> 16 [size =\"15032320\"]\n  12 [size=\"101599232\", alpha=\"0.16\", expect_size=\"50799616\"] \n  12 -> 15 [size =\"50799616\"]\n  12 -> 16 [size =\"50799616\"]\n  13 [size=\"18974720\", alpha=\"0.16\", expect_size=\"9487360\"] \n  14 [size=\"12468224\", alpha=\"0.13\", expect_size=\"6234112\"] \n  14 -> 18 [size =\"6234112\"]\n  15 [size=\"28733440\", alpha=\"0.05\", expect_size=\"14366720\"] \n  15 -> 18 [size =\"14366720\"]\n  16 [size=\"31270912\", alpha=\"0.14\", expect_size=\"15635456\"] \n  16 -> 17 [size =\"15635456\"]\n  17 [size=\"64522240\", alpha=\"0.04\", expect_size=\"32261120\"] \n  17 -> 20 [size =\"32261120\"]\n  18 [size=\"28977152\", alpha=\"0.14\", expect_size=\"14488576\"] \n  18 -> 19 [size =\"14488576\"]\n  18 -> 20 [size =\"14488576\"]\n  19 [size=\"53719040\", alpha=\"0.10\", expect_size=\"26859520\"] \n  19 -> 21 [size =\"26859520\"]\n  20 [size=\"103323648\", alpha=\"0.01\", expect_size=\"51661824\"] \n  20 -> 21 [size =\"51661824\"]\n  20 -> 22 [size =\"51661824\"]\n  21 [size=\"41617408\", alpha=\"0.06\", expect_size=\"20808704\"] \n  21 -> 23 [size =\"20808704\"]\n  21 -> 24 [size =\"20808704\"]\n  22 [size=\"15122432\", alpha=\"0.04\", expect_size=\"7561216\"] \n  23 [size=\"90961920\", alpha=\"0.01\", expect_size=\"45480960\"] \n  23 -> 25 [size =\"45480960\"]\n  23 -> 26 [size =\"45480960\"]\n  24 [size=\"74399744\", alpha=\"0.06\", expect_size=\"37199872\"] \n  24 -> 25 [size =\"37199872\"]\n  24 -> 26 [size =\"37199872\"]\n  25 [size=\"42856448\", alpha=\"0.07\", expect_size=\"21428224\"] \n  25 -> 27 [size =\"21428224\"]\n  25 -> 28 [size =\"21428224\"]\n  26 [size=\"65722368\", alpha=\"0.15\", expect_size=\"32861184\"] \n  27 [size=\"35117056\", alpha=\"0.18\", expect_size=\"17558528\"] \n  27 -> 29 [size =\"17558528\"]\n  27 -> 30 [size =\"17558528\"]\n  27 -> 31 [size =\"17558528\"]\n  28 [size=\"52041728\", alpha=\"0.18\", expect_size=\"26020864\"] \n  28 -> 29 [size =\"26020864\"]\n  29 [size=\"24928256\", alpha=\"0.10\", expect_size=\"12464128\"] \n  30 [size=\"72284160\", alpha=\"0.08\", expect_size=\"36142080\"] \n  30 -> 33 [size =\"36142080\"]\n  31 [size=\"79226880\", alpha=\"0.10\", expect_size=\"39613440\"] \n  31 -> 32 [size =\"39613440\"]\n  31 -> 33 [size =\"39613440\"]\n  31 -> 34 [size =\"39613440\"]\n  32 [size=\"11223040\", alpha=\"0.12\", expect_size=\"5611520\"] \n  32 -> 35 [size =\"5611520\"]\n  33 [size=\"28200960\", alpha=\"0.15\", expect_size=\"14100480\"] \n  33 -> 35 [size =\"14100480\"]\n  33 -> 36 [size =\"14100480\"]\n  34 [size=\"31193088\", alpha=\"0.18\", expect_size=\"15596544\"] \n  34 -> 36 [size =\"15596544\"]\n  34 -> 36 [size =\"15596544\"]\n  35 [size=\"60520448\", alpha=\"0.06\", expect_size=\"30260224\"] \n  35 -> 38 [size =\"30260224\"]\n  36 [size=\"93872128\", alpha=\"0.18\", expect_size=\"46936064\"] \n  36 -> 37 [size =\"46936064\"]\n  36 -> 38 [size =\"46936064\"]\n  37 [size=\"72355840\", alpha=\"0.01\", expect_size=\"36177920\"] \n  37 -> 39 [size =\"36177920\"]\n  37 -> 41 [size =\"36177920\"]\n  38 [size=\"60778496\", alpha=\"0.09\", expect_size=\"30389248\"] \n  38 -> 39 [size =\"30389248\"]\n  38 -> 40 [size =\"30389248\"]\n  38 -> 41 [size =\"30389248\"]\n  39 [size=\"49104896\", alpha=\"0.05\", expect_size=\"24552448\"] \n  39 -> 42 [size =\"24552448\"]\n  39 -> 43 [size =\"24552448\"]\n  39 -> 44 [size =\"24552448\"]\n  40 [size=\"96071680\", alpha=\"0.01\", expect_size=\"48035840\"] \n  40 -> 42 [size =\"48035840\"]\n  41 [size=\"39219200\", alpha=\"0.04\", expect_size=\"19609600\"] \n  41 -> 42 [size =\"19609600\"]\n  41 -> 44 [size =\"19609600\"]\n  42 [size=\"86876160\", alpha=\"0.08\", expect_size=\"43438080\"] \n  42 -> 45 [size =\"43438080\"]\n  42 -> 46 [size =\"43438080\"]\n  43 [size=\"47038464\", alpha=\"0.09\", expect_size=\"23519232\"] \n  43 -> 45 [size =\"23519232\"]\n  43 -> 47 [size =\"23519232\"]\n  44 [size=\"22566912\", alpha=\"0.03\", expect_size=\"11283456\"] \n  44 -> 46 [size =\"11283456\"]\n  44 -> 47 [size =\"11283456\"]\n  45 [size=\"15450112\", alpha=\"0.04\", expect_size=\"7725056\"] \n  45 -> 48 [size =\"7725056\"]\n  45 -> 49 [size =\"7725056\"]\n  45 -> 50 [size =\"7725056\"]\n  46 [size=\"43933696\", alpha=\"0.17\", expect_size=\"21966848\"] \n  46 -> 48 [size =\"21966848\"]\n  46 -> 49 [size =\"21966848\"]\n  47 [size=\"34433024\", alpha=\"0.15\", expect_size=\"17216512\"] \n  47 -> 48 [size =\"17216512\"]\n  47 -> 50 [size =\"17216512\"]\n  48 [size=\"40986624\", alpha=\"0.02\", expect_size=\"20493312\"] \n  49 [size=\"82085888\", alpha=\"0.12\", expect_size=\"41042944\"] \n  50 [size=\"12222464\", alpha=\"0.15\", expect_size=\"6111232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.163.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37287936\", alpha=\"0.13\", expect_size=\"18643968\"] \n  1 -> 3 [size =\"18643968\"]\n  1 -> 4 [size =\"18643968\"]\n  2 [size=\"52320256\", alpha=\"0.02\", expect_size=\"26160128\"] \n  2 -> 3 [size =\"26160128\"]\n  2 -> 4 [size =\"26160128\"]\n  3 [size=\"46221312\", alpha=\"0.03\", expect_size=\"23110656\"] \n  3 -> 6 [size =\"23110656\"]\n  3 -> 7 [size =\"23110656\"]\n  4 [size=\"63780864\", alpha=\"0.12\", expect_size=\"31890432\"] \n  4 -> 5 [size =\"31890432\"]\n  4 -> 6 [size =\"31890432\"]\n  4 -> 7 [size =\"31890432\"]\n  5 [size=\"79327232\", alpha=\"0.12\", expect_size=\"39663616\"] \n  5 -> 10 [size =\"39663616\"]\n  6 [size=\"30566400\", alpha=\"0.03\", expect_size=\"15283200\"] \n  6 -> 9 [size =\"15283200\"]\n  7 [size=\"21538816\", alpha=\"0.12\", expect_size=\"10769408\"] \n  7 -> 8 [size =\"10769408\"]\n  8 [size=\"90447872\", alpha=\"0.01\", expect_size=\"45223936\"] \n  8 -> 11 [size =\"45223936\"]\n  8 -> 12 [size =\"45223936\"]\n  9 [size=\"27936768\", alpha=\"0.14\", expect_size=\"13968384\"] \n  9 -> 11 [size =\"13968384\"]\n  9 -> 12 [size =\"13968384\"]\n  10 [size=\"30369792\", alpha=\"0.09\", expect_size=\"15184896\"] \n  10 -> 11 [size =\"15184896\"]\n  11 [size=\"54953984\", alpha=\"0.08\", expect_size=\"27476992\"] \n  11 -> 13 [size =\"27476992\"]\n  12 [size=\"24107008\", alpha=\"0.09\", expect_size=\"12053504\"] \n  12 -> 14 [size =\"12053504\"]\n  13 [size=\"33028096\", alpha=\"0.18\", expect_size=\"16514048\"] \n  13 -> 15 [size =\"16514048\"]\n  13 -> 16 [size =\"16514048\"]\n  13 -> 17 [size =\"16514048\"]\n  14 [size=\"45277184\", alpha=\"0.20\", expect_size=\"22638592\"] \n  14 -> 15 [size =\"22638592\"]\n  14 -> 16 [size =\"22638592\"]\n  14 -> 17 [size =\"22638592\"]\n  15 [size=\"100993024\", alpha=\"0.18\", expect_size=\"50496512\"] \n  15 -> 18 [size =\"50496512\"]\n  15 -> 20 [size =\"50496512\"]\n  16 [size=\"62121984\", alpha=\"0.03\", expect_size=\"31060992\"] \n  16 -> 18 [size =\"31060992\"]\n  16 -> 19 [size =\"31060992\"]\n  17 [size=\"75243520\", alpha=\"0.01\", expect_size=\"37621760\"] \n  17 -> 18 [size =\"37621760\"]\n  18 [size=\"35919872\", alpha=\"0.16\", expect_size=\"17959936\"] \n  18 -> 21 [size =\"17959936\"]\n  18 -> 22 [size =\"17959936\"]\n  18 -> 23 [size =\"17959936\"]\n  19 [size=\"38688768\", alpha=\"0.16\", expect_size=\"19344384\"] \n  19 -> 21 [size =\"19344384\"]\n  19 -> 22 [size =\"19344384\"]\n  19 -> 23 [size =\"19344384\"]\n  20 [size=\"12009472\", alpha=\"0.13\", expect_size=\"6004736\"] \n  20 -> 21 [size =\"6004736\"]\n  20 -> 22 [size =\"6004736\"]\n  20 -> 23 [size =\"6004736\"]\n  21 [size=\"52623360\", alpha=\"0.15\", expect_size=\"26311680\"] \n  21 -> 25 [size =\"26311680\"]\n  21 -> 25 [size =\"26311680\"]\n  22 [size=\"92168192\", alpha=\"0.06\", expect_size=\"46084096\"] \n  23 [size=\"42225664\", alpha=\"0.05\", expect_size=\"21112832\"] \n  23 -> 24 [size =\"21112832\"]\n  23 -> 25 [size =\"21112832\"]\n  24 [size=\"32043008\", alpha=\"0.15\", expect_size=\"16021504\"] \n  24 -> 27 [size =\"16021504\"]\n  24 -> 28 [size =\"16021504\"]\n  25 [size=\"29804544\", alpha=\"0.19\", expect_size=\"14902272\"] \n  25 -> 26 [size =\"14902272\"]\n  25 -> 27 [size =\"14902272\"]\n  25 -> 28 [size =\"14902272\"]\n  26 [size=\"20623360\", alpha=\"0.08\", expect_size=\"10311680\"] \n  26 -> 30 [size =\"10311680\"]\n  26 -> 31 [size =\"10311680\"]\n  27 [size=\"32843776\", alpha=\"0.19\", expect_size=\"16421888\"] \n  27 -> 29 [size =\"16421888\"]\n  27 -> 31 [size =\"16421888\"]\n  28 [size=\"36610048\", alpha=\"0.07\", expect_size=\"18305024\"] \n  28 -> 30 [size =\"18305024\"]\n  28 -> 31 [size =\"18305024\"]\n  29 [size=\"18362368\", alpha=\"0.19\", expect_size=\"9181184\"] \n  29 -> 32 [size =\"9181184\"]\n  30 [size=\"95346688\", alpha=\"0.15\", expect_size=\"47673344\"] \n  30 -> 32 [size =\"47673344\"]\n  30 -> 33 [size =\"47673344\"]\n  31 [size=\"61396992\", alpha=\"0.20\", expect_size=\"30698496\"] \n  31 -> 32 [size =\"30698496\"]\n  31 -> 33 [size =\"30698496\"]\n  32 [size=\"37691392\", alpha=\"0.08\", expect_size=\"18845696\"] \n  32 -> 34 [size =\"18845696\"]\n  32 -> 35 [size =\"18845696\"]\n  33 [size=\"66062336\", alpha=\"0.01\", expect_size=\"33031168\"] \n  34 [size=\"87879680\", alpha=\"0.02\", expect_size=\"43939840\"] \n  34 -> 36 [size =\"43939840\"]\n  34 -> 37 [size =\"43939840\"]\n  35 [size=\"62062592\", alpha=\"0.01\", expect_size=\"31031296\"] \n  35 -> 37 [size =\"31031296\"]\n  36 [size=\"57458688\", alpha=\"0.12\", expect_size=\"28729344\"] \n  36 -> 38 [size =\"28729344\"]\n  36 -> 39 [size =\"28729344\"]\n  37 [size=\"94146560\", alpha=\"0.16\", expect_size=\"47073280\"] \n  37 -> 39 [size =\"47073280\"]\n  37 -> 40 [size =\"47073280\"]\n  38 [size=\"88809472\", alpha=\"0.06\", expect_size=\"44404736\"] \n  38 -> 41 [size =\"44404736\"]\n  38 -> 42 [size =\"44404736\"]\n  39 [size=\"27037696\", alpha=\"0.01\", expect_size=\"13518848\"] \n  39 -> 41 [size =\"13518848\"]\n  39 -> 42 [size =\"13518848\"]\n  40 [size=\"20656128\", alpha=\"0.17\", expect_size=\"10328064\"] \n  40 -> 41 [size =\"10328064\"]\n  40 -> 42 [size =\"10328064\"]\n  41 [size=\"89548800\", alpha=\"0.02\", expect_size=\"44774400\"] \n  41 -> 44 [size =\"44774400\"]\n  42 [size=\"89442304\", alpha=\"0.04\", expect_size=\"44721152\"] \n  42 -> 43 [size =\"44721152\"]\n  42 -> 45 [size =\"44721152\"]\n  43 [size=\"33961984\", alpha=\"0.13\", expect_size=\"16980992\"] \n  43 -> 46 [size =\"16980992\"]\n  44 [size=\"40019968\", alpha=\"0.07\", expect_size=\"20009984\"] \n  44 -> 46 [size =\"20009984\"]\n  44 -> 48 [size =\"20009984\"]\n  45 [size=\"48037888\", alpha=\"0.04\", expect_size=\"24018944\"] \n  45 -> 47 [size =\"24018944\"]\n  46 [size=\"54153216\", alpha=\"0.04\", expect_size=\"27076608\"] \n  46 -> 49 [size =\"27076608\"]\n  46 -> 50 [size =\"27076608\"]\n  47 [size=\"15632384\", alpha=\"0.09\", expect_size=\"7816192\"] \n  47 -> 49 [size =\"7816192\"]\n  47 -> 50 [size =\"7816192\"]\n  48 [size=\"91607040\", alpha=\"0.19\", expect_size=\"45803520\"] \n  48 -> 49 [size =\"45803520\"]\n  48 -> 50 [size =\"45803520\"]\n  49 [size=\"24393728\", alpha=\"0.10\", expect_size=\"12196864\"] \n  50 [size=\"30943232\", alpha=\"0.20\", expect_size=\"15471616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.164.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88214187\", alpha=\"0.17\", expect_size=\"26464256\"] \n  1 -> 24 [size =\"26464256\"]\n  1 -> 24 [size =\"26464256\"]\n  1 -> 25 [size =\"26464256\"]\n  1 -> 26 [size =\"26464256\"]\n  1 -> 32 [size =\"26464256\"]\n  1 -> 37 [size =\"26464256\"]\n  1 -> 38 [size =\"26464256\"]\n  1 -> 40 [size =\"26464256\"]\n  1 -> 44 [size =\"26464256\"]\n  1 -> 47 [size =\"26464256\"]\n  1 -> 47 [size =\"26464256\"]\n  1 -> 48 [size =\"26464256\"]\n  1 -> 50 [size =\"26464256\"]\n  2 [size=\"134618453\", alpha=\"0.10\", expect_size=\"40385536\"] \n  2 -> 23 [size =\"40385536\"]\n  2 -> 32 [size =\"40385536\"]\n  2 -> 35 [size =\"40385536\"]\n  2 -> 36 [size =\"40385536\"]\n  2 -> 37 [size =\"40385536\"]\n  2 -> 37 [size =\"40385536\"]\n  2 -> 38 [size =\"40385536\"]\n  2 -> 39 [size =\"40385536\"]\n  2 -> 40 [size =\"40385536\"]\n  2 -> 44 [size =\"40385536\"]\n  2 -> 47 [size =\"40385536\"]\n  2 -> 48 [size =\"40385536\"]\n  3 [size=\"142987947\", alpha=\"0.15\", expect_size=\"42896384\"] \n  3 -> 23 [size =\"42896384\"]\n  3 -> 24 [size =\"42896384\"]\n  3 -> 29 [size =\"42896384\"]\n  3 -> 30 [size =\"42896384\"]\n  3 -> 32 [size =\"42896384\"]\n  3 -> 34 [size =\"42896384\"]\n  3 -> 35 [size =\"42896384\"]\n  3 -> 37 [size =\"42896384\"]\n  3 -> 38 [size =\"42896384\"]\n  3 -> 40 [size =\"42896384\"]\n  3 -> 43 [size =\"42896384\"]\n  3 -> 44 [size =\"42896384\"]\n  3 -> 48 [size =\"42896384\"]\n  4 [size=\"46462293\", alpha=\"0.09\", expect_size=\"13938688\"] \n  4 -> 24 [size =\"13938688\"]\n  4 -> 30 [size =\"13938688\"]\n  4 -> 32 [size =\"13938688\"]\n  4 -> 34 [size =\"13938688\"]\n  4 -> 35 [size =\"13938688\"]\n  4 -> 38 [size =\"13938688\"]\n  4 -> 40 [size =\"13938688\"]\n  4 -> 41 [size =\"13938688\"]\n  4 -> 43 [size =\"13938688\"]\n  4 -> 44 [size =\"13938688\"]\n  4 -> 48 [size =\"13938688\"]\n  5 [size=\"53766827\", alpha=\"0.18\", expect_size=\"16130048\"] \n  5 -> 24 [size =\"16130048\"]\n  5 -> 26 [size =\"16130048\"]\n  5 -> 29 [size =\"16130048\"]\n  5 -> 30 [size =\"16130048\"]\n  5 -> 34 [size =\"16130048\"]\n  5 -> 35 [size =\"16130048\"]\n  5 -> 36 [size =\"16130048\"]\n  5 -> 41 [size =\"16130048\"]\n  5 -> 42 [size =\"16130048\"]\n  5 -> 43 [size =\"16130048\"]\n  6 [size=\"151190187\", alpha=\"0.02\", expect_size=\"45357056\"] \n  6 -> 24 [size =\"45357056\"]\n  6 -> 30 [size =\"45357056\"]\n  6 -> 35 [size =\"45357056\"]\n  6 -> 38 [size =\"45357056\"]\n  6 -> 41 [size =\"45357056\"]\n  6 -> 43 [size =\"45357056\"]\n  6 -> 45 [size =\"45357056\"]\n  6 -> 47 [size =\"45357056\"]\n  6 -> 48 [size =\"45357056\"]\n  6 -> 50 [size =\"45357056\"]\n  7 [size=\"164730880\", alpha=\"0.02\", expect_size=\"49419264\"] \n  7 -> 23 [size =\"49419264\"]\n  7 -> 24 [size =\"49419264\"]\n  7 -> 27 [size =\"49419264\"]\n  7 -> 30 [size =\"49419264\"]\n  7 -> 31 [size =\"49419264\"]\n  7 -> 35 [size =\"49419264\"]\n  7 -> 36 [size =\"49419264\"]\n  7 -> 38 [size =\"49419264\"]\n  7 -> 40 [size =\"49419264\"]\n  7 -> 43 [size =\"49419264\"]\n  7 -> 44 [size =\"49419264\"]\n  7 -> 50 [size =\"49419264\"]\n  8 [size=\"48066560\", alpha=\"0.01\", expect_size=\"14419968\"] \n  8 -> 24 [size =\"14419968\"]\n  8 -> 24 [size =\"14419968\"]\n  8 -> 27 [size =\"14419968\"]\n  8 -> 29 [size =\"14419968\"]\n  8 -> 30 [size =\"14419968\"]\n  8 -> 35 [size =\"14419968\"]\n  8 -> 37 [size =\"14419968\"]\n  8 -> 43 [size =\"14419968\"]\n  8 -> 44 [size =\"14419968\"]\n  8 -> 47 [size =\"14419968\"]\n  8 -> 48 [size =\"14419968\"]\n  8 -> 50 [size =\"14419968\"]\n  9 [size=\"66054827\", alpha=\"0.06\", expect_size=\"19816448\"] \n  9 -> 27 [size =\"19816448\"]\n  9 -> 29 [size =\"19816448\"]\n  9 -> 30 [size =\"19816448\"]\n  9 -> 31 [size =\"19816448\"]\n  9 -> 32 [size =\"19816448\"]\n  9 -> 33 [size =\"19816448\"]\n  9 -> 35 [size =\"19816448\"]\n  9 -> 37 [size =\"19816448\"]\n  9 -> 40 [size =\"19816448\"]\n  9 -> 44 [size =\"19816448\"]\n  9 -> 45 [size =\"19816448\"]\n  9 -> 48 [size =\"19816448\"]\n  10 [size=\"49715200\", alpha=\"0.10\", expect_size=\"14914560\"] \n  10 -> 27 [size =\"14914560\"]\n  10 -> 29 [size =\"14914560\"]\n  10 -> 30 [size =\"14914560\"]\n  10 -> 32 [size =\"14914560\"]\n  10 -> 32 [size =\"14914560\"]\n  10 -> 35 [size =\"14914560\"]\n  10 -> 35 [size =\"14914560\"]\n  10 -> 37 [size =\"14914560\"]\n  10 -> 40 [size =\"14914560\"]\n  10 -> 41 [size =\"14914560\"]\n  10 -> 42 [size =\"14914560\"]\n  10 -> 43 [size =\"14914560\"]\n  10 -> 44 [size =\"14914560\"]\n  10 -> 46 [size =\"14914560\"]\n  10 -> 50 [size =\"14914560\"]\n  11 [size=\"48626347\", alpha=\"0.13\", expect_size=\"14587904\"] \n  11 -> 24 [size =\"14587904\"]\n  11 -> 25 [size =\"14587904\"]\n  11 -> 30 [size =\"14587904\"]\n  11 -> 32 [size =\"14587904\"]\n  11 -> 35 [size =\"14587904\"]\n  11 -> 35 [size =\"14587904\"]\n  11 -> 37 [size =\"14587904\"]\n  11 -> 37 [size =\"14587904\"]\n  11 -> 38 [size =\"14587904\"]\n  11 -> 39 [size =\"14587904\"]\n  11 -> 40 [size =\"14587904\"]\n  11 -> 41 [size =\"14587904\"]\n  11 -> 43 [size =\"14587904\"]\n  11 -> 44 [size =\"14587904\"]\n  11 -> 47 [size =\"14587904\"]\n  11 -> 48 [size =\"14587904\"]\n  12 [size=\"25637547\", alpha=\"0.18\", expect_size=\"7691264\"] \n  12 -> 24 [size =\"7691264\"]\n  12 -> 26 [size =\"7691264\"]\n  12 -> 28 [size =\"7691264\"]\n  12 -> 30 [size =\"7691264\"]\n  12 -> 35 [size =\"7691264\"]\n  12 -> 36 [size =\"7691264\"]\n  12 -> 37 [size =\"7691264\"]\n  12 -> 41 [size =\"7691264\"]\n  12 -> 43 [size =\"7691264\"]\n  12 -> 44 [size =\"7691264\"]\n  12 -> 45 [size =\"7691264\"]\n  12 -> 46 [size =\"7691264\"]\n  13 [size=\"103833600\", alpha=\"0.11\", expect_size=\"31150080\"] \n  13 -> 24 [size =\"31150080\"]\n  13 -> 28 [size =\"31150080\"]\n  13 -> 36 [size =\"31150080\"]\n  13 -> 43 [size =\"31150080\"]\n  13 -> 44 [size =\"31150080\"]\n  13 -> 45 [size =\"31150080\"]\n  13 -> 47 [size =\"31150080\"]\n  13 -> 48 [size =\"31150080\"]\n  14 [size=\"64863573\", alpha=\"0.16\", expect_size=\"19459072\"] \n  14 -> 23 [size =\"19459072\"]\n  14 -> 24 [size =\"19459072\"]\n  14 -> 27 [size =\"19459072\"]\n  14 -> 28 [size =\"19459072\"]\n  14 -> 30 [size =\"19459072\"]\n  14 -> 34 [size =\"19459072\"]\n  14 -> 35 [size =\"19459072\"]\n  14 -> 37 [size =\"19459072\"]\n  14 -> 41 [size =\"19459072\"]\n  14 -> 43 [size =\"19459072\"]\n  14 -> 44 [size =\"19459072\"]\n  14 -> 45 [size =\"19459072\"]\n  15 [size=\"134806187\", alpha=\"0.08\", expect_size=\"40441856\"] \n  15 -> 24 [size =\"40441856\"]\n  15 -> 25 [size =\"40441856\"]\n  15 -> 27 [size =\"40441856\"]\n  15 -> 30 [size =\"40441856\"]\n  15 -> 30 [size =\"40441856\"]\n  15 -> 32 [size =\"40441856\"]\n  15 -> 34 [size =\"40441856\"]\n  15 -> 35 [size =\"40441856\"]\n  15 -> 36 [size =\"40441856\"]\n  15 -> 37 [size =\"40441856\"]\n  15 -> 40 [size =\"40441856\"]\n  15 -> 41 [size =\"40441856\"]\n  15 -> 43 [size =\"40441856\"]\n  15 -> 44 [size =\"40441856\"]\n  15 -> 48 [size =\"40441856\"]\n  15 -> 50 [size =\"40441856\"]\n  16 [size=\"117964800\", alpha=\"0.20\", expect_size=\"35389440\"] \n  16 -> 24 [size =\"35389440\"]\n  16 -> 25 [size =\"35389440\"]\n  16 -> 28 [size =\"35389440\"]\n  16 -> 30 [size =\"35389440\"]\n  16 -> 35 [size =\"35389440\"]\n  16 -> 38 [size =\"35389440\"]\n  16 -> 40 [size =\"35389440\"]\n  16 -> 43 [size =\"35389440\"]\n  16 -> 44 [size =\"35389440\"]\n  16 -> 49 [size =\"35389440\"]\n  17 [size=\"131901440\", alpha=\"0.12\", expect_size=\"39570432\"] \n  17 -> 28 [size =\"39570432\"]\n  17 -> 29 [size =\"39570432\"]\n  17 -> 30 [size =\"39570432\"]\n  17 -> 31 [size =\"39570432\"]\n  17 -> 34 [size =\"39570432\"]\n  17 -> 35 [size =\"39570432\"]\n  17 -> 36 [size =\"39570432\"]\n  17 -> 37 [size =\"39570432\"]\n  17 -> 38 [size =\"39570432\"]\n  17 -> 40 [size =\"39570432\"]\n  17 -> 44 [size =\"39570432\"]\n  17 -> 47 [size =\"39570432\"]\n  17 -> 48 [size =\"39570432\"]\n  18 [size=\"145070080\", alpha=\"0.02\", expect_size=\"43521024\"] \n  18 -> 28 [size =\"43521024\"]\n  18 -> 29 [size =\"43521024\"]\n  18 -> 37 [size =\"43521024\"]\n  18 -> 38 [size =\"43521024\"]\n  18 -> 40 [size =\"43521024\"]\n  18 -> 43 [size =\"43521024\"]\n  18 -> 44 [size =\"43521024\"]\n  18 -> 45 [size =\"43521024\"]\n  18 -> 48 [size =\"43521024\"]\n  19 [size=\"154306560\", alpha=\"0.09\", expect_size=\"46291968\"] \n  19 -> 23 [size =\"46291968\"]\n  19 -> 24 [size =\"46291968\"]\n  19 -> 26 [size =\"46291968\"]\n  19 -> 28 [size =\"46291968\"]\n  19 -> 30 [size =\"46291968\"]\n  19 -> 36 [size =\"46291968\"]\n  19 -> 37 [size =\"46291968\"]\n  19 -> 38 [size =\"46291968\"]\n  19 -> 40 [size =\"46291968\"]\n  19 -> 43 [size =\"46291968\"]\n  19 -> 44 [size =\"46291968\"]\n  19 -> 45 [size =\"46291968\"]\n  19 -> 46 [size =\"46291968\"]\n  19 -> 48 [size =\"46291968\"]\n  19 -> 50 [size =\"46291968\"]\n  20 [size=\"47523840\", alpha=\"0.15\", expect_size=\"14257152\"] \n  20 -> 24 [size =\"14257152\"]\n  20 -> 24 [size =\"14257152\"]\n  20 -> 28 [size =\"14257152\"]\n  20 -> 29 [size =\"14257152\"]\n  20 -> 30 [size =\"14257152\"]\n  20 -> 32 [size =\"14257152\"]\n  20 -> 37 [size =\"14257152\"]\n  20 -> 38 [size =\"14257152\"]\n  20 -> 39 [size =\"14257152\"]\n  20 -> 40 [size =\"14257152\"]\n  20 -> 41 [size =\"14257152\"]\n  20 -> 42 [size =\"14257152\"]\n  20 -> 43 [size =\"14257152\"]\n  20 -> 44 [size =\"14257152\"]\n  20 -> 45 [size =\"14257152\"]\n  20 -> 47 [size =\"14257152\"]\n  20 -> 48 [size =\"14257152\"]\n  21 [size=\"126047573\", alpha=\"0.11\", expect_size=\"37814272\"] \n  21 -> 24 [size =\"37814272\"]\n  21 -> 26 [size =\"37814272\"]\n  21 -> 28 [size =\"37814272\"]\n  21 -> 29 [size =\"37814272\"]\n  21 -> 30 [size =\"37814272\"]\n  21 -> 31 [size =\"37814272\"]\n  21 -> 32 [size =\"37814272\"]\n  21 -> 36 [size =\"37814272\"]\n  21 -> 37 [size =\"37814272\"]\n  21 -> 40 [size =\"37814272\"]\n  21 -> 43 [size =\"37814272\"]\n  21 -> 44 [size =\"37814272\"]\n  21 -> 45 [size =\"37814272\"]\n  21 -> 47 [size =\"37814272\"]\n  21 -> 48 [size =\"37814272\"]\n  21 -> 50 [size =\"37814272\"]\n  22 [size=\"69120000\", alpha=\"0.01\", expect_size=\"20736000\"] \n  22 -> 23 [size =\"20736000\"]\n  22 -> 24 [size =\"20736000\"]\n  22 -> 32 [size =\"20736000\"]\n  22 -> 37 [size =\"20736000\"]\n  22 -> 40 [size =\"20736000\"]\n  22 -> 41 [size =\"20736000\"]\n  22 -> 43 [size =\"20736000\"]\n  22 -> 44 [size =\"20736000\"]\n  22 -> 45 [size =\"20736000\"]\n  22 -> 46 [size =\"20736000\"]\n  22 -> 47 [size =\"20736000\"]\n  22 -> 48 [size =\"20736000\"]\n  23 [size=\"55306240\", alpha=\"0.07\", expect_size=\"16591872\"] \n  24 [size=\"138229760\", alpha=\"0.17\", expect_size=\"41468928\"] \n  25 [size=\"103256747\", alpha=\"0.12\", expect_size=\"30977024\"] \n  26 [size=\"164160853\", alpha=\"0.04\", expect_size=\"49248256\"] \n  27 [size=\"162549760\", alpha=\"0.14\", expect_size=\"48764928\"] \n  28 [size=\"98208427\", alpha=\"0.08\", expect_size=\"29462528\"] \n  29 [size=\"115049813\", alpha=\"0.09\", expect_size=\"34514944\"] \n  30 [size=\"24777387\", alpha=\"0.13\", expect_size=\"7433216\"] \n  31 [size=\"142861653\", alpha=\"0.02\", expect_size=\"42858496\"] \n  32 [size=\"68184747\", alpha=\"0.11\", expect_size=\"20455424\"] \n  33 [size=\"75178667\", alpha=\"0.12\", expect_size=\"22553600\"] \n  34 [size=\"132072107\", alpha=\"0.18\", expect_size=\"39621632\"] \n  35 [size=\"110564693\", alpha=\"0.20\", expect_size=\"33169408\"] \n  36 [size=\"46950400\", alpha=\"0.14\", expect_size=\"14085120\"] \n  37 [size=\"74946560\", alpha=\"0.03\", expect_size=\"22483968\"] \n  38 [size=\"27234987\", alpha=\"0.08\", expect_size=\"8170496\"] \n  39 [size=\"91692373\", alpha=\"0.10\", expect_size=\"27507712\"] \n  40 [size=\"159614293\", alpha=\"0.16\", expect_size=\"47884288\"] \n  41 [size=\"105949867\", alpha=\"0.17\", expect_size=\"31784960\"] \n  42 [size=\"119138987\", alpha=\"0.03\", expect_size=\"35741696\"] \n  43 [size=\"50059947\", alpha=\"0.15\", expect_size=\"15017984\"] \n  44 [size=\"142356480\", alpha=\"0.01\", expect_size=\"42706944\"] \n  45 [size=\"128846507\", alpha=\"0.19\", expect_size=\"38653952\"] \n  46 [size=\"126859947\", alpha=\"0.15\", expect_size=\"38057984\"] \n  47 [size=\"79602347\", alpha=\"0.10\", expect_size=\"23880704\"] \n  48 [size=\"101502293\", alpha=\"0.15\", expect_size=\"30450688\"] \n  49 [size=\"162867200\", alpha=\"0.13\", expect_size=\"48860160\"] \n  50 [size=\"85951147\", alpha=\"0.11\", expect_size=\"25785344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.165.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161996800\", alpha=\"0.04\", expect_size=\"48599040\"] \n  1 -> 2 [size =\"48599040\"]\n  2 [size=\"159402667\", alpha=\"0.13\", expect_size=\"47820800\"] \n  2 -> 3 [size =\"47820800\"]\n  3 [size=\"82380800\", alpha=\"0.07\", expect_size=\"24714240\"] \n  3 -> 4 [size =\"24714240\"]\n  4 [size=\"160662187\", alpha=\"0.08\", expect_size=\"48198656\"] \n  4 -> 5 [size =\"48198656\"]\n  5 [size=\"143479467\", alpha=\"0.10\", expect_size=\"43043840\"] \n  5 -> 6 [size =\"43043840\"]\n  6 [size=\"169847467\", alpha=\"0.06\", expect_size=\"50954240\"] \n  6 -> 7 [size =\"50954240\"]\n  7 [size=\"37908480\", alpha=\"0.10\", expect_size=\"11372544\"] \n  7 -> 8 [size =\"11372544\"]\n  8 [size=\"28842667\", alpha=\"0.04\", expect_size=\"8652800\"] \n  8 -> 9 [size =\"8652800\"]\n  9 [size=\"106178560\", alpha=\"0.02\", expect_size=\"31853568\"] \n  9 -> 10 [size =\"31853568\"]\n  10 [size=\"108690773\", alpha=\"0.07\", expect_size=\"32607232\"] \n  10 -> 11 [size =\"32607232\"]\n  11 [size=\"29996373\", alpha=\"0.04\", expect_size=\"8998912\"] \n  11 -> 12 [size =\"8998912\"]\n  12 [size=\"61928107\", alpha=\"0.00\", expect_size=\"18578432\"] \n  12 -> 13 [size =\"18578432\"]\n  13 [size=\"167458133\", alpha=\"0.10\", expect_size=\"50237440\"] \n  13 -> 14 [size =\"50237440\"]\n  14 [size=\"68700160\", alpha=\"0.17\", expect_size=\"20610048\"] \n  14 -> 15 [size =\"20610048\"]\n  15 [size=\"134502400\", alpha=\"0.06\", expect_size=\"40350720\"] \n  15 -> 16 [size =\"40350720\"]\n  16 [size=\"58634240\", alpha=\"0.13\", expect_size=\"17590272\"] \n  16 -> 17 [size =\"17590272\"]\n  17 [size=\"105970347\", alpha=\"0.08\", expect_size=\"31791104\"] \n  17 -> 18 [size =\"31791104\"]\n  18 [size=\"25818453\", alpha=\"0.08\", expect_size=\"7745536\"] \n  18 -> 19 [size =\"7745536\"]\n  19 [size=\"54865920\", alpha=\"0.13\", expect_size=\"16459776\"] \n  19 -> 20 [size =\"16459776\"]\n  20 [size=\"68867413\", alpha=\"0.19\", expect_size=\"20660224\"] \n  20 -> 21 [size =\"20660224\"]\n  21 [size=\"126661973\", alpha=\"0.02\", expect_size=\"37998592\"] \n  21 -> 22 [size =\"37998592\"]\n  22 [size=\"161498453\", alpha=\"0.04\", expect_size=\"48449536\"] \n  22 -> 23 [size =\"48449536\"]\n  23 [size=\"162430293\", alpha=\"0.14\", expect_size=\"48729088\"] \n  23 -> 24 [size =\"48729088\"]\n  24 [size=\"85558613\", alpha=\"0.02\", expect_size=\"25667584\"] \n  24 -> 25 [size =\"25667584\"]\n  25 [size=\"60460373\", alpha=\"0.06\", expect_size=\"18138112\"] \n  25 -> 26 [size =\"18138112\"]\n  26 [size=\"109373440\", alpha=\"0.10\", expect_size=\"32812032\"] \n  26 -> 27 [size =\"32812032\"]\n  27 [size=\"53200213\", alpha=\"0.16\", expect_size=\"15960064\"] \n  27 -> 28 [size =\"15960064\"]\n  28 [size=\"119401813\", alpha=\"0.03\", expect_size=\"35820544\"] \n  28 -> 29 [size =\"35820544\"]\n  29 [size=\"27149653\", alpha=\"0.02\", expect_size=\"8144896\"] \n  29 -> 30 [size =\"8144896\"]\n  30 [size=\"131805867\", alpha=\"0.13\", expect_size=\"39541760\"] \n  30 -> 31 [size =\"39541760\"]\n  31 [size=\"120603307\", alpha=\"0.05\", expect_size=\"36180992\"] \n  31 -> 32 [size =\"36180992\"]\n  32 [size=\"138059093\", alpha=\"0.03\", expect_size=\"41417728\"] \n  32 -> 33 [size =\"41417728\"]\n  33 [size=\"168820053\", alpha=\"0.19\", expect_size=\"50646016\"] \n  33 -> 34 [size =\"50646016\"]\n  34 [size=\"120504320\", alpha=\"0.03\", expect_size=\"36151296\"] \n  34 -> 35 [size =\"36151296\"]\n  35 [size=\"136301227\", alpha=\"0.01\", expect_size=\"40890368\"] \n  35 -> 36 [size =\"40890368\"]\n  36 [size=\"27644587\", alpha=\"0.04\", expect_size=\"8293376\"] \n  36 -> 37 [size =\"8293376\"]\n  37 [size=\"104188587\", alpha=\"0.19\", expect_size=\"31256576\"] \n  37 -> 38 [size =\"31256576\"]\n  38 [size=\"71799467\", alpha=\"0.15\", expect_size=\"21539840\"] \n  38 -> 39 [size =\"21539840\"]\n  39 [size=\"99126613\", alpha=\"0.15\", expect_size=\"29737984\"] \n  39 -> 40 [size =\"29737984\"]\n  40 [size=\"117589333\", alpha=\"0.02\", expect_size=\"35276800\"] \n  40 -> 41 [size =\"35276800\"]\n  41 [size=\"61119147\", alpha=\"0.03\", expect_size=\"18335744\"] \n  41 -> 42 [size =\"18335744\"]\n  42 [size=\"99515733\", alpha=\"0.02\", expect_size=\"29854720\"] \n  42 -> 43 [size =\"29854720\"]\n  43 [size=\"119951360\", alpha=\"0.20\", expect_size=\"35985408\"] \n  43 -> 44 [size =\"35985408\"]\n  44 [size=\"115121493\", alpha=\"0.06\", expect_size=\"34536448\"] \n  44 -> 45 [size =\"34536448\"]\n  45 [size=\"136253440\", alpha=\"0.18\", expect_size=\"40876032\"] \n  45 -> 46 [size =\"40876032\"]\n  46 [size=\"143086933\", alpha=\"0.01\", expect_size=\"42926080\"] \n  46 -> 47 [size =\"42926080\"]\n  47 [size=\"19496960\", alpha=\"0.09\", expect_size=\"5849088\"] \n  47 -> 48 [size =\"5849088\"]\n  48 [size=\"168546987\", alpha=\"0.10\", expect_size=\"50564096\"] \n  48 -> 49 [size =\"50564096\"]\n  49 [size=\"126730240\", alpha=\"0.13\", expect_size=\"38019072\"] \n  49 -> 50 [size =\"38019072\"]\n  50 [size=\"88722773\", alpha=\"0.09\", expect_size=\"26616832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.166.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125762560\", alpha=\"0.07\", expect_size=\"50305024\"] \n  1 -> 8 [size =\"50305024\"]\n  1 -> 9 [size =\"50305024\"]\n  2 [size=\"114237440\", alpha=\"0.04\", expect_size=\"45694976\"] \n  2 -> 5 [size =\"45694976\"]\n  2 -> 11 [size =\"45694976\"]\n  3 [size=\"66204160\", alpha=\"0.08\", expect_size=\"26481664\"] \n  3 -> 5 [size =\"26481664\"]\n  3 -> 6 [size =\"26481664\"]\n  3 -> 10 [size =\"26481664\"]\n  3 -> 12 [size =\"26481664\"]\n  4 [size=\"116689920\", alpha=\"0.05\", expect_size=\"46675968\"] \n  4 -> 5 [size =\"46675968\"]\n  4 -> 7 [size =\"46675968\"]\n  4 -> 10 [size =\"46675968\"]\n  4 -> 12 [size =\"46675968\"]\n  5 [size=\"51023360\", alpha=\"0.14\", expect_size=\"20409344\"] \n  5 -> 13 [size =\"20409344\"]\n  5 -> 15 [size =\"20409344\"]\n  5 -> 16 [size =\"20409344\"]\n  6 [size=\"64849920\", alpha=\"0.03\", expect_size=\"25939968\"] \n  6 -> 13 [size =\"25939968\"]\n  6 -> 14 [size =\"25939968\"]\n  7 [size=\"25594880\", alpha=\"0.09\", expect_size=\"10237952\"] \n  7 -> 13 [size =\"10237952\"]\n  8 [size=\"106836480\", alpha=\"0.02\", expect_size=\"42734592\"] \n  8 -> 16 [size =\"42734592\"]\n  9 [size=\"125849600\", alpha=\"0.04\", expect_size=\"50339840\"] \n  9 -> 13 [size =\"50339840\"]\n  9 -> 15 [size =\"50339840\"]\n  10 [size=\"23098880\", alpha=\"0.17\", expect_size=\"9239552\"] \n  10 -> 13 [size =\"9239552\"]\n  10 -> 14 [size =\"9239552\"]\n  10 -> 15 [size =\"9239552\"]\n  11 [size=\"25574400\", alpha=\"0.13\", expect_size=\"10229760\"] \n  12 [size=\"64855040\", alpha=\"0.16\", expect_size=\"25942016\"] \n  12 -> 16 [size =\"25942016\"]\n  13 [size=\"88258560\", alpha=\"0.19\", expect_size=\"35303424\"] \n  13 -> 17 [size =\"35303424\"]\n  13 -> 18 [size =\"35303424\"]\n  13 -> 20 [size =\"35303424\"]\n  13 -> 22 [size =\"35303424\"]\n  13 -> 23 [size =\"35303424\"]\n  14 [size=\"18485760\", alpha=\"0.03\", expect_size=\"7394304\"] \n  14 -> 17 [size =\"7394304\"]\n  14 -> 19 [size =\"7394304\"]\n  14 -> 24 [size =\"7394304\"]\n  14 -> 25 [size =\"7394304\"]\n  15 [size=\"45273600\", alpha=\"0.01\", expect_size=\"18109440\"] \n  15 -> 19 [size =\"18109440\"]\n  15 -> 21 [size =\"18109440\"]\n  15 -> 24 [size =\"18109440\"]\n  15 -> 25 [size =\"18109440\"]\n  16 [size=\"125544960\", alpha=\"0.11\", expect_size=\"50217984\"] \n  16 -> 17 [size =\"50217984\"]\n  16 -> 20 [size =\"50217984\"]\n  16 -> 21 [size =\"50217984\"]\n  16 -> 22 [size =\"50217984\"]\n  16 -> 23 [size =\"50217984\"]\n  16 -> 24 [size =\"50217984\"]\n  17 [size=\"25213440\", alpha=\"0.15\", expect_size=\"10085376\"] \n  17 -> 27 [size =\"10085376\"]\n  17 -> 28 [size =\"10085376\"]\n  18 [size=\"79710720\", alpha=\"0.01\", expect_size=\"31884288\"] \n  18 -> 28 [size =\"31884288\"]\n  19 [size=\"92380160\", alpha=\"0.05\", expect_size=\"36952064\"] \n  19 -> 27 [size =\"36952064\"]\n  19 -> 28 [size =\"36952064\"]\n  20 [size=\"115668480\", alpha=\"0.04\", expect_size=\"46267392\"] \n  20 -> 27 [size =\"46267392\"]\n  20 -> 29 [size =\"46267392\"]\n  21 [size=\"100894720\", alpha=\"0.02\", expect_size=\"40357888\"] \n  21 -> 28 [size =\"40357888\"]\n  22 [size=\"61378560\", alpha=\"0.17\", expect_size=\"24551424\"] \n  22 -> 26 [size =\"24551424\"]\n  22 -> 29 [size =\"24551424\"]\n  23 [size=\"39795200\", alpha=\"0.02\", expect_size=\"15918080\"] \n  23 -> 26 [size =\"15918080\"]\n  23 -> 29 [size =\"15918080\"]\n  24 [size=\"32343040\", alpha=\"0.03\", expect_size=\"12937216\"] \n  24 -> 26 [size =\"12937216\"]\n  24 -> 27 [size =\"12937216\"]\n  24 -> 29 [size =\"12937216\"]\n  25 [size=\"52802560\", alpha=\"0.11\", expect_size=\"21121024\"] \n  25 -> 27 [size =\"21121024\"]\n  25 -> 29 [size =\"21121024\"]\n  26 [size=\"60994560\", alpha=\"0.08\", expect_size=\"24397824\"] \n  26 -> 30 [size =\"24397824\"]\n  26 -> 32 [size =\"24397824\"]\n  26 -> 33 [size =\"24397824\"]\n  27 [size=\"125504000\", alpha=\"0.07\", expect_size=\"50201600\"] \n  27 -> 31 [size =\"50201600\"]\n  28 [size=\"94845440\", alpha=\"0.02\", expect_size=\"37938176\"] \n  28 -> 31 [size =\"37938176\"]\n  29 [size=\"100221440\", alpha=\"0.16\", expect_size=\"40088576\"] \n  29 -> 32 [size =\"40088576\"]\n  30 [size=\"14238720\", alpha=\"0.12\", expect_size=\"5695488\"] \n  30 -> 35 [size =\"5695488\"]\n  30 -> 37 [size =\"5695488\"]\n  30 -> 39 [size =\"5695488\"]\n  30 -> 41 [size =\"5695488\"]\n  31 [size=\"39700480\", alpha=\"0.10\", expect_size=\"15880192\"] \n  31 -> 38 [size =\"15880192\"]\n  32 [size=\"53335040\", alpha=\"0.16\", expect_size=\"21334016\"] \n  32 -> 37 [size =\"21334016\"]\n  32 -> 39 [size =\"21334016\"]\n  32 -> 40 [size =\"21334016\"]\n  33 [size=\"38307840\", alpha=\"0.16\", expect_size=\"15323136\"] \n  33 -> 34 [size =\"15323136\"]\n  33 -> 36 [size =\"15323136\"]\n  33 -> 37 [size =\"15323136\"]\n  33 -> 38 [size =\"15323136\"]\n  33 -> 40 [size =\"15323136\"]\n  33 -> 41 [size =\"15323136\"]\n  34 [size=\"47715840\", alpha=\"0.16\", expect_size=\"19086336\"] \n  34 -> 46 [size =\"19086336\"]\n  34 -> 47 [size =\"19086336\"]\n  34 -> 47 [size =\"19086336\"]\n  35 [size=\"67182080\", alpha=\"0.02\", expect_size=\"26872832\"] \n  35 -> 47 [size =\"26872832\"]\n  36 [size=\"16652800\", alpha=\"0.07\", expect_size=\"6661120\"] \n  36 -> 42 [size =\"6661120\"]\n  36 -> 45 [size =\"6661120\"]\n  36 -> 46 [size =\"6661120\"]\n  37 [size=\"65840640\", alpha=\"0.13\", expect_size=\"26336256\"] \n  37 -> 44 [size =\"26336256\"]\n  37 -> 46 [size =\"26336256\"]\n  37 -> 47 [size =\"26336256\"]\n  37 -> 49 [size =\"26336256\"]\n  38 [size=\"109271040\", alpha=\"0.12\", expect_size=\"43708416\"] \n  38 -> 44 [size =\"43708416\"]\n  38 -> 46 [size =\"43708416\"]\n  39 [size=\"122708480\", alpha=\"0.03\", expect_size=\"49083392\"] \n  39 -> 43 [size =\"49083392\"]\n  39 -> 48 [size =\"49083392\"]\n  39 -> 49 [size =\"49083392\"]\n  40 [size=\"100930560\", alpha=\"0.12\", expect_size=\"40372224\"] \n  40 -> 42 [size =\"40372224\"]\n  40 -> 43 [size =\"40372224\"]\n  41 [size=\"53934080\", alpha=\"0.16\", expect_size=\"21573632\"] \n  41 -> 42 [size =\"21573632\"]\n  41 -> 44 [size =\"21573632\"]\n  41 -> 47 [size =\"21573632\"]\n  42 [size=\"112145920\", alpha=\"0.08\", expect_size=\"44858368\"] \n  42 -> 50 [size =\"44858368\"]\n  43 [size=\"91389440\", alpha=\"0.04\", expect_size=\"36555776\"] \n  43 -> 50 [size =\"36555776\"]\n  44 [size=\"66816000\", alpha=\"0.04\", expect_size=\"26726400\"] \n  45 [size=\"43806720\", alpha=\"0.11\", expect_size=\"17522688\"] \n  46 [size=\"54525440\", alpha=\"0.06\", expect_size=\"21810176\"] \n  47 [size=\"93447680\", alpha=\"0.19\", expect_size=\"37379072\"] \n  48 [size=\"54717440\", alpha=\"0.07\", expect_size=\"21886976\"] \n  48 -> 50 [size =\"21886976\"]\n  49 [size=\"122900480\", alpha=\"0.09\", expect_size=\"49160192\"] \n  49 -> 50 [size =\"49160192\"]\n  50 [size=\"23377920\", alpha=\"0.12\", expect_size=\"9351168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.167.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50499584\", alpha=\"0.08\", expect_size=\"25249792\"] \n  1 -> 5 [size =\"25249792\"]\n  1 -> 6 [size =\"25249792\"]\n  2 [size=\"47349760\", alpha=\"0.11\", expect_size=\"23674880\"] \n  2 -> 6 [size =\"23674880\"]\n  3 [size=\"103729152\", alpha=\"0.02\", expect_size=\"51864576\"] \n  3 -> 4 [size =\"51864576\"]\n  3 -> 6 [size =\"51864576\"]\n  4 [size=\"11972608\", alpha=\"0.01\", expect_size=\"5986304\"] \n  4 -> 7 [size =\"5986304\"]\n  5 [size=\"36884480\", alpha=\"0.10\", expect_size=\"18442240\"] \n  5 -> 7 [size =\"18442240\"]\n  5 -> 8 [size =\"18442240\"]\n  6 [size=\"90456064\", alpha=\"0.05\", expect_size=\"45228032\"] \n  6 -> 7 [size =\"45228032\"]\n  6 -> 8 [size =\"45228032\"]\n  7 [size=\"55390208\", alpha=\"0.02\", expect_size=\"27695104\"] \n  7 -> 9 [size =\"27695104\"]\n  7 -> 10 [size =\"27695104\"]\n  8 [size=\"69791744\", alpha=\"0.17\", expect_size=\"34895872\"] \n  8 -> 9 [size =\"34895872\"]\n  8 -> 10 [size =\"34895872\"]\n  9 [size=\"86464512\", alpha=\"0.06\", expect_size=\"43232256\"] \n  9 -> 11 [size =\"43232256\"]\n  9 -> 12 [size =\"43232256\"]\n  10 [size=\"32792576\", alpha=\"0.17\", expect_size=\"16396288\"] \n  10 -> 11 [size =\"16396288\"]\n  10 -> 12 [size =\"16396288\"]\n  11 [size=\"67237888\", alpha=\"0.03\", expect_size=\"33618944\"] \n  11 -> 13 [size =\"33618944\"]\n  12 [size=\"12007424\", alpha=\"0.12\", expect_size=\"6003712\"] \n  12 -> 13 [size =\"6003712\"]\n  12 -> 14 [size =\"6003712\"]\n  12 -> 15 [size =\"6003712\"]\n  13 [size=\"64829440\", alpha=\"0.19\", expect_size=\"32414720\"] \n  14 [size=\"72269824\", alpha=\"0.03\", expect_size=\"36134912\"] \n  14 -> 16 [size =\"36134912\"]\n  15 [size=\"76857344\", alpha=\"0.08\", expect_size=\"38428672\"] \n  15 -> 17 [size =\"38428672\"]\n  16 [size=\"30109696\", alpha=\"0.02\", expect_size=\"15054848\"] \n  16 -> 18 [size =\"15054848\"]\n  16 -> 19 [size =\"15054848\"]\n  16 -> 20 [size =\"15054848\"]\n  17 [size=\"55560192\", alpha=\"0.09\", expect_size=\"27780096\"] \n  17 -> 18 [size =\"27780096\"]\n  17 -> 19 [size =\"27780096\"]\n  17 -> 20 [size =\"27780096\"]\n  18 [size=\"62748672\", alpha=\"0.18\", expect_size=\"31374336\"] \n  18 -> 21 [size =\"31374336\"]\n  18 -> 22 [size =\"31374336\"]\n  18 -> 23 [size =\"31374336\"]\n  19 [size=\"46571520\", alpha=\"0.15\", expect_size=\"23285760\"] \n  19 -> 21 [size =\"23285760\"]\n  19 -> 22 [size =\"23285760\"]\n  19 -> 23 [size =\"23285760\"]\n  20 [size=\"75630592\", alpha=\"0.17\", expect_size=\"37815296\"] \n  20 -> 21 [size =\"37815296\"]\n  20 -> 22 [size =\"37815296\"]\n  20 -> 23 [size =\"37815296\"]\n  21 [size=\"62799872\", alpha=\"0.08\", expect_size=\"31399936\"] \n  21 -> 24 [size =\"31399936\"]\n  21 -> 25 [size =\"31399936\"]\n  21 -> 26 [size =\"31399936\"]\n  22 [size=\"77969408\", alpha=\"0.06\", expect_size=\"38984704\"] \n  22 -> 24 [size =\"38984704\"]\n  22 -> 25 [size =\"38984704\"]\n  22 -> 26 [size =\"38984704\"]\n  23 [size=\"39370752\", alpha=\"0.04\", expect_size=\"19685376\"] \n  23 -> 24 [size =\"19685376\"]\n  23 -> 26 [size =\"19685376\"]\n  24 [size=\"35827712\", alpha=\"0.02\", expect_size=\"17913856\"] \n  24 -> 27 [size =\"17913856\"]\n  24 -> 28 [size =\"17913856\"]\n  24 -> 29 [size =\"17913856\"]\n  25 [size=\"51073024\", alpha=\"0.06\", expect_size=\"25536512\"] \n  25 -> 27 [size =\"25536512\"]\n  25 -> 28 [size =\"25536512\"]\n  25 -> 29 [size =\"25536512\"]\n  26 [size=\"90632192\", alpha=\"0.07\", expect_size=\"45316096\"] \n  26 -> 27 [size =\"45316096\"]\n  26 -> 28 [size =\"45316096\"]\n  26 -> 29 [size =\"45316096\"]\n  27 [size=\"101578752\", alpha=\"0.18\", expect_size=\"50789376\"] \n  28 [size=\"48214016\", alpha=\"0.01\", expect_size=\"24107008\"] \n  28 -> 30 [size =\"24107008\"]\n  28 -> 31 [size =\"24107008\"]\n  29 [size=\"39702528\", alpha=\"0.20\", expect_size=\"19851264\"] \n  29 -> 30 [size =\"19851264\"]\n  30 [size=\"16158720\", alpha=\"0.04\", expect_size=\"8079360\"] \n  30 -> 32 [size =\"8079360\"]\n  30 -> 33 [size =\"8079360\"]\n  31 [size=\"96462848\", alpha=\"0.19\", expect_size=\"48231424\"] \n  31 -> 33 [size =\"48231424\"]\n  32 [size=\"37515264\", alpha=\"0.16\", expect_size=\"18757632\"] \n  32 -> 35 [size =\"18757632\"]\n  32 -> 36 [size =\"18757632\"]\n  33 [size=\"64927744\", alpha=\"0.03\", expect_size=\"32463872\"] \n  33 -> 34 [size =\"32463872\"]\n  33 -> 35 [size =\"32463872\"]\n  33 -> 36 [size =\"32463872\"]\n  34 [size=\"83197952\", alpha=\"0.04\", expect_size=\"41598976\"] \n  34 -> 37 [size =\"41598976\"]\n  34 -> 38 [size =\"41598976\"]\n  35 [size=\"93814784\", alpha=\"0.19\", expect_size=\"46907392\"] \n  35 -> 37 [size =\"46907392\"]\n  35 -> 38 [size =\"46907392\"]\n  36 [size=\"28805120\", alpha=\"0.18\", expect_size=\"14402560\"] \n  36 -> 37 [size =\"14402560\"]\n  37 [size=\"62517248\", alpha=\"0.07\", expect_size=\"31258624\"] \n  37 -> 39 [size =\"31258624\"]\n  38 [size=\"51107840\", alpha=\"0.06\", expect_size=\"25553920\"] \n  38 -> 40 [size =\"25553920\"]\n  39 [size=\"53886976\", alpha=\"0.14\", expect_size=\"26943488\"] \n  39 -> 42 [size =\"26943488\"]\n  40 [size=\"52461568\", alpha=\"0.15\", expect_size=\"26230784\"] \n  40 -> 41 [size =\"26230784\"]\n  41 [size=\"69138432\", alpha=\"0.07\", expect_size=\"34569216\"] \n  41 -> 43 [size =\"34569216\"]\n  41 -> 44 [size =\"34569216\"]\n  42 [size=\"66299904\", alpha=\"0.13\", expect_size=\"33149952\"] \n  42 -> 43 [size =\"33149952\"]\n  43 [size=\"45467648\", alpha=\"0.06\", expect_size=\"22733824\"] \n  43 -> 45 [size =\"22733824\"]\n  43 -> 46 [size =\"22733824\"]\n  44 [size=\"60985344\", alpha=\"0.04\", expect_size=\"30492672\"] \n  44 -> 45 [size =\"30492672\"]\n  44 -> 46 [size =\"30492672\"]\n  45 [size=\"80267264\", alpha=\"0.10\", expect_size=\"40133632\"] \n  45 -> 47 [size =\"40133632\"]\n  45 -> 48 [size =\"40133632\"]\n  45 -> 49 [size =\"40133632\"]\n  46 [size=\"75313152\", alpha=\"0.14\", expect_size=\"37656576\"] \n  46 -> 47 [size =\"37656576\"]\n  46 -> 48 [size =\"37656576\"]\n  46 -> 49 [size =\"37656576\"]\n  47 [size=\"65751040\", alpha=\"0.17\", expect_size=\"32875520\"] \n  48 [size=\"96653312\", alpha=\"0.08\", expect_size=\"48326656\"] \n  48 -> 50 [size =\"48326656\"]\n  49 [size=\"31543296\", alpha=\"0.05\", expect_size=\"15771648\"] \n  49 -> 50 [size =\"15771648\"]\n  50 [size=\"95252480\", alpha=\"0.03\", expect_size=\"47626240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.168.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87975936\", alpha=\"0.03\", expect_size=\"43987968\"] \n  1 -> 17 [size =\"43987968\"]\n  1 -> 18 [size =\"43987968\"]\n  1 -> 19 [size =\"43987968\"]\n  1 -> 21 [size =\"43987968\"]\n  1 -> 24 [size =\"43987968\"]\n  1 -> 27 [size =\"43987968\"]\n  2 [size=\"43663360\", alpha=\"0.16\", expect_size=\"21831680\"] \n  2 -> 17 [size =\"21831680\"]\n  2 -> 20 [size =\"21831680\"]\n  2 -> 22 [size =\"21831680\"]\n  2 -> 25 [size =\"21831680\"]\n  2 -> 26 [size =\"21831680\"]\n  3 [size=\"40802304\", alpha=\"0.09\", expect_size=\"20401152\"] \n  3 -> 17 [size =\"20401152\"]\n  3 -> 18 [size =\"20401152\"]\n  3 -> 20 [size =\"20401152\"]\n  3 -> 24 [size =\"20401152\"]\n  3 -> 27 [size =\"20401152\"]\n  4 [size=\"43610112\", alpha=\"0.16\", expect_size=\"21805056\"] \n  4 -> 17 [size =\"21805056\"]\n  4 -> 18 [size =\"21805056\"]\n  4 -> 20 [size =\"21805056\"]\n  4 -> 23 [size =\"21805056\"]\n  4 -> 26 [size =\"21805056\"]\n  4 -> 29 [size =\"21805056\"]\n  5 [size=\"89440256\", alpha=\"0.13\", expect_size=\"44720128\"] \n  5 -> 17 [size =\"44720128\"]\n  5 -> 20 [size =\"44720128\"]\n  5 -> 23 [size =\"44720128\"]\n  5 -> 25 [size =\"44720128\"]\n  6 [size=\"45656064\", alpha=\"0.10\", expect_size=\"22828032\"] \n  6 -> 20 [size =\"22828032\"]\n  6 -> 21 [size =\"22828032\"]\n  6 -> 22 [size =\"22828032\"]\n  6 -> 23 [size =\"22828032\"]\n  6 -> 24 [size =\"22828032\"]\n  6 -> 26 [size =\"22828032\"]\n  7 [size=\"28776448\", alpha=\"0.07\", expect_size=\"14388224\"] \n  7 -> 17 [size =\"14388224\"]\n  7 -> 20 [size =\"14388224\"]\n  7 -> 21 [size =\"14388224\"]\n  7 -> 26 [size =\"14388224\"]\n  7 -> 28 [size =\"14388224\"]\n  8 [size=\"46213120\", alpha=\"0.07\", expect_size=\"23106560\"] \n  8 -> 18 [size =\"23106560\"]\n  8 -> 23 [size =\"23106560\"]\n  8 -> 24 [size =\"23106560\"]\n  8 -> 25 [size =\"23106560\"]\n  9 [size=\"61827072\", alpha=\"0.05\", expect_size=\"30913536\"] \n  9 -> 17 [size =\"30913536\"]\n  9 -> 18 [size =\"30913536\"]\n  9 -> 19 [size =\"30913536\"]\n  9 -> 24 [size =\"30913536\"]\n  9 -> 27 [size =\"30913536\"]\n  9 -> 30 [size =\"30913536\"]\n  10 [size=\"18573312\", alpha=\"0.02\", expect_size=\"9286656\"] \n  10 -> 17 [size =\"9286656\"]\n  10 -> 18 [size =\"9286656\"]\n  10 -> 20 [size =\"9286656\"]\n  10 -> 21 [size =\"9286656\"]\n  10 -> 25 [size =\"9286656\"]\n  10 -> 27 [size =\"9286656\"]\n  11 [size=\"84205568\", alpha=\"0.12\", expect_size=\"42102784\"] \n  11 -> 17 [size =\"42102784\"]\n  11 -> 20 [size =\"42102784\"]\n  11 -> 23 [size =\"42102784\"]\n  11 -> 24 [size =\"42102784\"]\n  11 -> 27 [size =\"42102784\"]\n  11 -> 29 [size =\"42102784\"]\n  12 [size=\"99033088\", alpha=\"0.07\", expect_size=\"49516544\"] \n  12 -> 16 [size =\"49516544\"]\n  12 -> 17 [size =\"49516544\"]\n  12 -> 18 [size =\"49516544\"]\n  12 -> 23 [size =\"49516544\"]\n  12 -> 24 [size =\"49516544\"]\n  12 -> 26 [size =\"49516544\"]\n  12 -> 29 [size =\"49516544\"]\n  13 [size=\"78852096\", alpha=\"0.16\", expect_size=\"39426048\"] \n  13 -> 17 [size =\"39426048\"]\n  13 -> 22 [size =\"39426048\"]\n  13 -> 24 [size =\"39426048\"]\n  13 -> 26 [size =\"39426048\"]\n  14 [size=\"27260928\", alpha=\"0.09\", expect_size=\"13630464\"] \n  14 -> 19 [size =\"13630464\"]\n  14 -> 22 [size =\"13630464\"]\n  14 -> 24 [size =\"13630464\"]\n  14 -> 25 [size =\"13630464\"]\n  14 -> 26 [size =\"13630464\"]\n  14 -> 29 [size =\"13630464\"]\n  14 -> 30 [size =\"13630464\"]\n  15 [size=\"100628480\", alpha=\"0.08\", expect_size=\"50314240\"] \n  15 -> 18 [size =\"50314240\"]\n  15 -> 19 [size =\"50314240\"]\n  15 -> 21 [size =\"50314240\"]\n  15 -> 24 [size =\"50314240\"]\n  15 -> 25 [size =\"50314240\"]\n  16 [size=\"66414592\", alpha=\"0.08\", expect_size=\"33207296\"] \n  16 -> 32 [size =\"33207296\"]\n  16 -> 33 [size =\"33207296\"]\n  16 -> 35 [size =\"33207296\"]\n  16 -> 36 [size =\"33207296\"]\n  16 -> 37 [size =\"33207296\"]\n  17 [size=\"21309440\", alpha=\"0.01\", expect_size=\"10654720\"] \n  17 -> 31 [size =\"10654720\"]\n  17 -> 32 [size =\"10654720\"]\n  17 -> 33 [size =\"10654720\"]\n  17 -> 36 [size =\"10654720\"]\n  17 -> 37 [size =\"10654720\"]\n  17 -> 40 [size =\"10654720\"]\n  17 -> 41 [size =\"10654720\"]\n  17 -> 46 [size =\"10654720\"]\n  18 [size=\"53145600\", alpha=\"0.00\", expect_size=\"26572800\"] \n  18 -> 32 [size =\"26572800\"]\n  18 -> 34 [size =\"26572800\"]\n  18 -> 36 [size =\"26572800\"]\n  18 -> 45 [size =\"26572800\"]\n  18 -> 46 [size =\"26572800\"]\n  19 [size=\"87500800\", alpha=\"0.14\", expect_size=\"43750400\"] \n  19 -> 32 [size =\"43750400\"]\n  19 -> 36 [size =\"43750400\"]\n  19 -> 36 [size =\"43750400\"]\n  19 -> 42 [size =\"43750400\"]\n  19 -> 44 [size =\"43750400\"]\n  19 -> 46 [size =\"43750400\"]\n  20 [size=\"14821376\", alpha=\"0.04\", expect_size=\"7410688\"] \n  20 -> 31 [size =\"7410688\"]\n  20 -> 32 [size =\"7410688\"]\n  20 -> 33 [size =\"7410688\"]\n  20 -> 35 [size =\"7410688\"]\n  20 -> 36 [size =\"7410688\"]\n  20 -> 43 [size =\"7410688\"]\n  20 -> 45 [size =\"7410688\"]\n  20 -> 46 [size =\"7410688\"]\n  21 [size=\"23840768\", alpha=\"0.10\", expect_size=\"11920384\"] \n  21 -> 32 [size =\"11920384\"]\n  21 -> 35 [size =\"11920384\"]\n  21 -> 36 [size =\"11920384\"]\n  21 -> 37 [size =\"11920384\"]\n  21 -> 38 [size =\"11920384\"]\n  21 -> 40 [size =\"11920384\"]\n  21 -> 46 [size =\"11920384\"]\n  22 [size=\"80529408\", alpha=\"0.03\", expect_size=\"40264704\"] \n  22 -> 32 [size =\"40264704\"]\n  22 -> 33 [size =\"40264704\"]\n  22 -> 36 [size =\"40264704\"]\n  22 -> 37 [size =\"40264704\"]\n  22 -> 38 [size =\"40264704\"]\n  22 -> 40 [size =\"40264704\"]\n  22 -> 44 [size =\"40264704\"]\n  23 [size=\"17788928\", alpha=\"0.03\", expect_size=\"8894464\"] \n  23 -> 32 [size =\"8894464\"]\n  23 -> 37 [size =\"8894464\"]\n  23 -> 40 [size =\"8894464\"]\n  23 -> 44 [size =\"8894464\"]\n  23 -> 45 [size =\"8894464\"]\n  24 [size=\"93837312\", alpha=\"0.10\", expect_size=\"46918656\"] \n  24 -> 32 [size =\"46918656\"]\n  24 -> 41 [size =\"46918656\"]\n  24 -> 43 [size =\"46918656\"]\n  24 -> 45 [size =\"46918656\"]\n  24 -> 45 [size =\"46918656\"]\n  25 [size=\"42782720\", alpha=\"0.13\", expect_size=\"21391360\"] \n  25 -> 34 [size =\"21391360\"]\n  25 -> 36 [size =\"21391360\"]\n  25 -> 37 [size =\"21391360\"]\n  25 -> 41 [size =\"21391360\"]\n  25 -> 45 [size =\"21391360\"]\n  26 [size=\"81563648\", alpha=\"0.04\", expect_size=\"40781824\"] \n  26 -> 31 [size =\"40781824\"]\n  26 -> 33 [size =\"40781824\"]\n  26 -> 35 [size =\"40781824\"]\n  26 -> 40 [size =\"40781824\"]\n  26 -> 41 [size =\"40781824\"]\n  26 -> 45 [size =\"40781824\"]\n  27 [size=\"26028032\", alpha=\"0.18\", expect_size=\"13014016\"] \n  27 -> 33 [size =\"13014016\"]\n  27 -> 35 [size =\"13014016\"]\n  27 -> 35 [size =\"13014016\"]\n  27 -> 38 [size =\"13014016\"]\n  27 -> 40 [size =\"13014016\"]\n  27 -> 41 [size =\"13014016\"]\n  27 -> 42 [size =\"13014016\"]\n  27 -> 43 [size =\"13014016\"]\n  27 -> 44 [size =\"13014016\"]\n  27 -> 45 [size =\"13014016\"]\n  28 [size=\"31483904\", alpha=\"0.01\", expect_size=\"15741952\"] \n  28 -> 35 [size =\"15741952\"]\n  28 -> 35 [size =\"15741952\"]\n  28 -> 40 [size =\"15741952\"]\n  28 -> 41 [size =\"15741952\"]\n  28 -> 45 [size =\"15741952\"]\n  29 [size=\"33800192\", alpha=\"0.14\", expect_size=\"16900096\"] \n  29 -> 32 [size =\"16900096\"]\n  29 -> 33 [size =\"16900096\"]\n  29 -> 37 [size =\"16900096\"]\n  29 -> 38 [size =\"16900096\"]\n  29 -> 39 [size =\"16900096\"]\n  29 -> 41 [size =\"16900096\"]\n  29 -> 42 [size =\"16900096\"]\n  29 -> 43 [size =\"16900096\"]\n  29 -> 44 [size =\"16900096\"]\n  29 -> 45 [size =\"16900096\"]\n  30 [size=\"101412864\", alpha=\"0.09\", expect_size=\"50706432\"] \n  30 -> 32 [size =\"50706432\"]\n  30 -> 35 [size =\"50706432\"]\n  30 -> 36 [size =\"50706432\"]\n  30 -> 45 [size =\"50706432\"]\n  31 [size=\"26081280\", alpha=\"0.19\", expect_size=\"13040640\"] \n  32 [size=\"74041344\", alpha=\"0.08\", expect_size=\"37020672\"] \n  32 -> 47 [size =\"37020672\"]\n  33 [size=\"89726976\", alpha=\"0.12\", expect_size=\"44863488\"] \n  33 -> 49 [size =\"44863488\"]\n  34 [size=\"103458816\", alpha=\"0.19\", expect_size=\"51729408\"] \n  34 -> 47 [size =\"51729408\"]\n  34 -> 50 [size =\"51729408\"]\n  35 [size=\"53987328\", alpha=\"0.06\", expect_size=\"26993664\"] \n  35 -> 47 [size =\"26993664\"]\n  36 [size=\"20267008\", alpha=\"0.04\", expect_size=\"10133504\"] \n  37 [size=\"37472256\", alpha=\"0.04\", expect_size=\"18736128\"] \n  37 -> 47 [size =\"18736128\"]\n  38 [size=\"29519872\", alpha=\"0.14\", expect_size=\"14759936\"] \n  39 [size=\"32141312\", alpha=\"0.20\", expect_size=\"16070656\"] \n  39 -> 47 [size =\"16070656\"]\n  39 -> 48 [size =\"16070656\"]\n  39 -> 49 [size =\"16070656\"]\n  40 [size=\"96673792\", alpha=\"0.07\", expect_size=\"48336896\"] \n  40 -> 47 [size =\"48336896\"]\n  40 -> 49 [size =\"48336896\"]\n  40 -> 49 [size =\"48336896\"]\n  41 [size=\"42467328\", alpha=\"0.16\", expect_size=\"21233664\"] \n  41 -> 47 [size =\"21233664\"]\n  41 -> 49 [size =\"21233664\"]\n  42 [size=\"37613568\", alpha=\"0.01\", expect_size=\"18806784\"] \n  42 -> 47 [size =\"18806784\"]\n  42 -> 49 [size =\"18806784\"]\n  43 [size=\"76288000\", alpha=\"0.07\", expect_size=\"38144000\"] \n  43 -> 47 [size =\"38144000\"]\n  43 -> 49 [size =\"38144000\"]\n  44 [size=\"38113280\", alpha=\"0.10\", expect_size=\"19056640\"] \n  44 -> 47 [size =\"19056640\"]\n  44 -> 49 [size =\"19056640\"]\n  45 [size=\"34238464\", alpha=\"0.01\", expect_size=\"17119232\"] \n  45 -> 49 [size =\"17119232\"]\n  45 -> 49 [size =\"17119232\"]\n  46 [size=\"60430336\", alpha=\"0.06\", expect_size=\"30215168\"] \n  46 -> 49 [size =\"30215168\"]\n  47 [size=\"78254080\", alpha=\"0.15\", expect_size=\"39127040\"] \n  48 [size=\"98529280\", alpha=\"0.09\", expect_size=\"49264640\"] \n  49 [size=\"69548032\", alpha=\"0.07\", expect_size=\"34774016\"] \n  50 [size=\"68325376\", alpha=\"0.05\", expect_size=\"34162688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.169.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52463616\", alpha=\"0.19\", expect_size=\"26231808\"] \n  1 -> 10 [size =\"26231808\"]\n  2 [size=\"42944512\", alpha=\"0.05\", expect_size=\"21472256\"] \n  2 -> 10 [size =\"21472256\"]\n  2 -> 12 [size =\"21472256\"]\n  3 [size=\"53803008\", alpha=\"0.14\", expect_size=\"26901504\"] \n  3 -> 10 [size =\"26901504\"]\n  3 -> 11 [size =\"26901504\"]\n  3 -> 12 [size =\"26901504\"]\n  4 [size=\"77029376\", alpha=\"0.11\", expect_size=\"38514688\"] \n  4 -> 10 [size =\"38514688\"]\n  5 [size=\"76793856\", alpha=\"0.03\", expect_size=\"38396928\"] \n  5 -> 9 [size =\"38396928\"]\n  5 -> 11 [size =\"38396928\"]\n  6 [size=\"67753984\", alpha=\"0.16\", expect_size=\"33876992\"] \n  6 -> 11 [size =\"33876992\"]\n  7 [size=\"43130880\", alpha=\"0.05\", expect_size=\"21565440\"] \n  7 -> 10 [size =\"21565440\"]\n  7 -> 11 [size =\"21565440\"]\n  8 [size=\"80263168\", alpha=\"0.09\", expect_size=\"40131584\"] \n  8 -> 11 [size =\"40131584\"]\n  8 -> 12 [size =\"40131584\"]\n  9 [size=\"57630720\", alpha=\"0.09\", expect_size=\"28815360\"] \n  9 -> 14 [size =\"28815360\"]\n  9 -> 14 [size =\"28815360\"]\n  9 -> 16 [size =\"28815360\"]\n  9 -> 20 [size =\"28815360\"]\n  10 [size=\"89503744\", alpha=\"0.08\", expect_size=\"44751872\"] \n  10 -> 15 [size =\"44751872\"]\n  10 -> 19 [size =\"44751872\"]\n  10 -> 20 [size =\"44751872\"]\n  11 [size=\"78327808\", alpha=\"0.05\", expect_size=\"39163904\"] \n  11 -> 13 [size =\"39163904\"]\n  11 -> 18 [size =\"39163904\"]\n  11 -> 19 [size =\"39163904\"]\n  11 -> 22 [size =\"39163904\"]\n  12 [size=\"74399744\", alpha=\"0.11\", expect_size=\"37199872\"] \n  12 -> 13 [size =\"37199872\"]\n  12 -> 14 [size =\"37199872\"]\n  12 -> 16 [size =\"37199872\"]\n  12 -> 17 [size =\"37199872\"]\n  12 -> 18 [size =\"37199872\"]\n  12 -> 19 [size =\"37199872\"]\n  12 -> 20 [size =\"37199872\"]\n  12 -> 21 [size =\"37199872\"]\n  12 -> 22 [size =\"37199872\"]\n  13 [size=\"98877440\", alpha=\"0.14\", expect_size=\"49438720\"] \n  13 -> 23 [size =\"49438720\"]\n  13 -> 25 [size =\"49438720\"]\n  13 -> 26 [size =\"49438720\"]\n  13 -> 27 [size =\"49438720\"]\n  14 [size=\"70637568\", alpha=\"0.13\", expect_size=\"35318784\"] \n  14 -> 23 [size =\"35318784\"]\n  14 -> 24 [size =\"35318784\"]\n  14 -> 25 [size =\"35318784\"]\n  14 -> 26 [size =\"35318784\"]\n  15 [size=\"26175488\", alpha=\"0.16\", expect_size=\"13087744\"] \n  15 -> 23 [size =\"13087744\"]\n  15 -> 24 [size =\"13087744\"]\n  15 -> 26 [size =\"13087744\"]\n  15 -> 26 [size =\"13087744\"]\n  15 -> 27 [size =\"13087744\"]\n  16 [size=\"39053312\", alpha=\"0.04\", expect_size=\"19526656\"] \n  16 -> 23 [size =\"19526656\"]\n  16 -> 24 [size =\"19526656\"]\n  16 -> 26 [size =\"19526656\"]\n  17 [size=\"20527104\", alpha=\"0.02\", expect_size=\"10263552\"] \n  17 -> 24 [size =\"10263552\"]\n  17 -> 24 [size =\"10263552\"]\n  18 [size=\"45410304\", alpha=\"0.09\", expect_size=\"22705152\"] \n  18 -> 23 [size =\"22705152\"]\n  18 -> 25 [size =\"22705152\"]\n  19 [size=\"89976832\", alpha=\"0.18\", expect_size=\"44988416\"] \n  19 -> 23 [size =\"44988416\"]\n  19 -> 26 [size =\"44988416\"]\n  20 [size=\"37625856\", alpha=\"0.11\", expect_size=\"18812928\"] \n  20 -> 24 [size =\"18812928\"]\n  20 -> 27 [size =\"18812928\"]\n  21 [size=\"74854400\", alpha=\"0.13\", expect_size=\"37427200\"] \n  21 -> 24 [size =\"37427200\"]\n  21 -> 27 [size =\"37427200\"]\n  22 [size=\"97781760\", alpha=\"0.01\", expect_size=\"48890880\"] \n  22 -> 26 [size =\"48890880\"]\n  23 [size=\"54468608\", alpha=\"0.19\", expect_size=\"27234304\"] \n  23 -> 30 [size =\"27234304\"]\n  23 -> 31 [size =\"27234304\"]\n  24 [size=\"24444928\", alpha=\"0.11\", expect_size=\"12222464\"] \n  24 -> 29 [size =\"12222464\"]\n  24 -> 31 [size =\"12222464\"]\n  25 [size=\"87455744\", alpha=\"0.17\", expect_size=\"43727872\"] \n  25 -> 28 [size =\"43727872\"]\n  25 -> 31 [size =\"43727872\"]\n  26 [size=\"70420480\", alpha=\"0.15\", expect_size=\"35210240\"] \n  26 -> 28 [size =\"35210240\"]\n  26 -> 30 [size =\"35210240\"]\n  26 -> 31 [size =\"35210240\"]\n  27 [size=\"90793984\", alpha=\"0.00\", expect_size=\"45396992\"] \n  27 -> 28 [size =\"45396992\"]\n  27 -> 30 [size =\"45396992\"]\n  28 [size=\"101328896\", alpha=\"0.00\", expect_size=\"50664448\"] \n  28 -> 33 [size =\"50664448\"]\n  28 -> 34 [size =\"50664448\"]\n  28 -> 35 [size =\"50664448\"]\n  28 -> 36 [size =\"50664448\"]\n  28 -> 37 [size =\"50664448\"]\n  28 -> 38 [size =\"50664448\"]\n  28 -> 39 [size =\"50664448\"]\n  28 -> 41 [size =\"50664448\"]\n  29 [size=\"48721920\", alpha=\"0.10\", expect_size=\"24360960\"] \n  29 -> 32 [size =\"24360960\"]\n  29 -> 33 [size =\"24360960\"]\n  29 -> 34 [size =\"24360960\"]\n  29 -> 35 [size =\"24360960\"]\n  29 -> 37 [size =\"24360960\"]\n  29 -> 38 [size =\"24360960\"]\n  29 -> 39 [size =\"24360960\"]\n  29 -> 40 [size =\"24360960\"]\n  30 [size=\"38846464\", alpha=\"0.17\", expect_size=\"19423232\"] \n  30 -> 33 [size =\"19423232\"]\n  30 -> 36 [size =\"19423232\"]\n  30 -> 39 [size =\"19423232\"]\n  30 -> 40 [size =\"19423232\"]\n  30 -> 41 [size =\"19423232\"]\n  31 [size=\"89810944\", alpha=\"0.18\", expect_size=\"44905472\"] \n  31 -> 37 [size =\"44905472\"]\n  31 -> 40 [size =\"44905472\"]\n  31 -> 41 [size =\"44905472\"]\n  32 [size=\"54847488\", alpha=\"0.12\", expect_size=\"27423744\"] \n  32 -> 44 [size =\"27423744\"]\n  33 [size=\"60788736\", alpha=\"0.05\", expect_size=\"30394368\"] \n  33 -> 42 [size =\"30394368\"]\n  33 -> 46 [size =\"30394368\"]\n  33 -> 49 [size =\"30394368\"]\n  34 [size=\"56582144\", alpha=\"0.11\", expect_size=\"28291072\"] \n  34 -> 46 [size =\"28291072\"]\n  35 [size=\"14401536\", alpha=\"0.01\", expect_size=\"7200768\"] \n  35 -> 47 [size =\"7200768\"]\n  35 -> 50 [size =\"7200768\"]\n  36 [size=\"94926848\", alpha=\"0.16\", expect_size=\"47463424\"] \n  36 -> 43 [size =\"47463424\"]\n  36 -> 46 [size =\"47463424\"]\n  36 -> 50 [size =\"47463424\"]\n  37 [size=\"72314880\", alpha=\"0.13\", expect_size=\"36157440\"] \n  37 -> 45 [size =\"36157440\"]\n  37 -> 47 [size =\"36157440\"]\n  38 [size=\"73580544\", alpha=\"0.18\", expect_size=\"36790272\"] \n  38 -> 45 [size =\"36790272\"]\n  38 -> 46 [size =\"36790272\"]\n  38 -> 49 [size =\"36790272\"]\n  39 [size=\"74133504\", alpha=\"0.00\", expect_size=\"37066752\"] \n  39 -> 45 [size =\"37066752\"]\n  39 -> 46 [size =\"37066752\"]\n  39 -> 47 [size =\"37066752\"]\n  39 -> 48 [size =\"37066752\"]\n  40 [size=\"26744832\", alpha=\"0.08\", expect_size=\"13372416\"] \n  40 -> 44 [size =\"13372416\"]\n  40 -> 46 [size =\"13372416\"]\n  40 -> 47 [size =\"13372416\"]\n  41 [size=\"104804352\", alpha=\"0.09\", expect_size=\"52402176\"] \n  41 -> 44 [size =\"52402176\"]\n  41 -> 47 [size =\"52402176\"]\n  41 -> 48 [size =\"52402176\"]\n  41 -> 49 [size =\"52402176\"]\n  42 [size=\"93040640\", alpha=\"0.08\", expect_size=\"46520320\"] \n  43 [size=\"55371776\", alpha=\"0.17\", expect_size=\"27685888\"] \n  44 [size=\"80187392\", alpha=\"0.09\", expect_size=\"40093696\"] \n  45 [size=\"38899712\", alpha=\"0.17\", expect_size=\"19449856\"] \n  46 [size=\"41568256\", alpha=\"0.18\", expect_size=\"20784128\"] \n  47 [size=\"22390784\", alpha=\"0.16\", expect_size=\"11195392\"] \n  48 [size=\"85782528\", alpha=\"0.14\", expect_size=\"42891264\"] \n  49 [size=\"77926400\", alpha=\"0.19\", expect_size=\"38963200\"] \n  50 [size=\"78313472\", alpha=\"0.10\", expect_size=\"39156736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91438080\", alpha=\"0.11\", expect_size=\"36575232\"] \n  1 -> 6 [size =\"36575232\"]\n  1 -> 9 [size =\"36575232\"]\n  1 -> 12 [size =\"36575232\"]\n  2 [size=\"124267520\", alpha=\"0.19\", expect_size=\"49707008\"] \n  2 -> 5 [size =\"49707008\"]\n  2 -> 6 [size =\"49707008\"]\n  2 -> 8 [size =\"49707008\"]\n  2 -> 12 [size =\"49707008\"]\n  3 [size=\"84974080\", alpha=\"0.11\", expect_size=\"33989632\"] \n  3 -> 5 [size =\"33989632\"]\n  3 -> 8 [size =\"33989632\"]\n  4 [size=\"86420480\", alpha=\"0.08\", expect_size=\"34568192\"] \n  4 -> 6 [size =\"34568192\"]\n  4 -> 7 [size =\"34568192\"]\n  4 -> 9 [size =\"34568192\"]\n  4 -> 10 [size =\"34568192\"]\n  4 -> 11 [size =\"34568192\"]\n  5 [size=\"31997440\", alpha=\"0.00\", expect_size=\"12798976\"] \n  5 -> 16 [size =\"12798976\"]\n  6 [size=\"74129920\", alpha=\"0.10\", expect_size=\"29651968\"] \n  6 -> 15 [size =\"29651968\"]\n  6 -> 16 [size =\"29651968\"]\n  7 [size=\"29637120\", alpha=\"0.07\", expect_size=\"11854848\"] \n  7 -> 16 [size =\"11854848\"]\n  8 [size=\"116712960\", alpha=\"0.18\", expect_size=\"46685184\"] \n  8 -> 17 [size =\"46685184\"]\n  9 [size=\"127797760\", alpha=\"0.05\", expect_size=\"51119104\"] \n  9 -> 13 [size =\"51119104\"]\n  9 -> 14 [size =\"51119104\"]\n  9 -> 15 [size =\"51119104\"]\n  9 -> 16 [size =\"51119104\"]\n  9 -> 17 [size =\"51119104\"]\n  9 -> 18 [size =\"51119104\"]\n  10 [size=\"113904640\", alpha=\"0.02\", expect_size=\"45561856\"] \n  10 -> 13 [size =\"45561856\"]\n  10 -> 17 [size =\"45561856\"]\n  10 -> 18 [size =\"45561856\"]\n  11 [size=\"102850560\", alpha=\"0.20\", expect_size=\"41140224\"] \n  11 -> 13 [size =\"41140224\"]\n  12 [size=\"49123840\", alpha=\"0.15\", expect_size=\"19649536\"] \n  12 -> 13 [size =\"19649536\"]\n  12 -> 17 [size =\"19649536\"]\n  13 [size=\"43486720\", alpha=\"0.09\", expect_size=\"17394688\"] \n  13 -> 24 [size =\"17394688\"]\n  13 -> 27 [size =\"17394688\"]\n  14 [size=\"107496960\", alpha=\"0.11\", expect_size=\"42998784\"] \n  14 -> 19 [size =\"42998784\"]\n  14 -> 24 [size =\"42998784\"]\n  15 [size=\"34140160\", alpha=\"0.11\", expect_size=\"13656064\"] \n  15 -> 19 [size =\"13656064\"]\n  15 -> 20 [size =\"13656064\"]\n  15 -> 22 [size =\"13656064\"]\n  15 -> 23 [size =\"13656064\"]\n  15 -> 24 [size =\"13656064\"]\n  15 -> 25 [size =\"13656064\"]\n  15 -> 27 [size =\"13656064\"]\n  16 [size=\"34245120\", alpha=\"0.17\", expect_size=\"13698048\"] \n  16 -> 20 [size =\"13698048\"]\n  16 -> 25 [size =\"13698048\"]\n  16 -> 26 [size =\"13698048\"]\n  17 [size=\"92229120\", alpha=\"0.11\", expect_size=\"36891648\"] \n  17 -> 20 [size =\"36891648\"]\n  17 -> 21 [size =\"36891648\"]\n  17 -> 22 [size =\"36891648\"]\n  17 -> 23 [size =\"36891648\"]\n  17 -> 25 [size =\"36891648\"]\n  18 [size=\"18114560\", alpha=\"0.16\", expect_size=\"7245824\"] \n  18 -> 20 [size =\"7245824\"]\n  18 -> 23 [size =\"7245824\"]\n  18 -> 24 [size =\"7245824\"]\n  18 -> 25 [size =\"7245824\"]\n  18 -> 27 [size =\"7245824\"]\n  19 [size=\"123036160\", alpha=\"0.16\", expect_size=\"49214464\"] \n  19 -> 32 [size =\"49214464\"]\n  19 -> 33 [size =\"49214464\"]\n  19 -> 33 [size =\"49214464\"]\n  20 [size=\"34524160\", alpha=\"0.13\", expect_size=\"13809664\"] \n  20 -> 33 [size =\"13809664\"]\n  20 -> 35 [size =\"13809664\"]\n  20 -> 36 [size =\"13809664\"]\n  21 [size=\"49105920\", alpha=\"0.03\", expect_size=\"19642368\"] \n  21 -> 29 [size =\"19642368\"]\n  21 -> 31 [size =\"19642368\"]\n  21 -> 32 [size =\"19642368\"]\n  21 -> 34 [size =\"19642368\"]\n  22 [size=\"47526400\", alpha=\"0.13\", expect_size=\"19010560\"] \n  22 -> 29 [size =\"19010560\"]\n  22 -> 32 [size =\"19010560\"]\n  22 -> 36 [size =\"19010560\"]\n  23 [size=\"16437760\", alpha=\"0.14\", expect_size=\"6575104\"] \n  23 -> 29 [size =\"6575104\"]\n  23 -> 35 [size =\"6575104\"]\n  24 [size=\"67804160\", alpha=\"0.08\", expect_size=\"27121664\"] \n  24 -> 28 [size =\"27121664\"]\n  24 -> 30 [size =\"27121664\"]\n  24 -> 32 [size =\"27121664\"]\n  24 -> 33 [size =\"27121664\"]\n  25 [size=\"13703680\", alpha=\"0.06\", expect_size=\"5481472\"] \n  25 -> 32 [size =\"5481472\"]\n  25 -> 33 [size =\"5481472\"]\n  25 -> 35 [size =\"5481472\"]\n  26 [size=\"76569600\", alpha=\"0.13\", expect_size=\"30627840\"] \n  26 -> 28 [size =\"30627840\"]\n  26 -> 29 [size =\"30627840\"]\n  26 -> 31 [size =\"30627840\"]\n  27 [size=\"58301440\", alpha=\"0.03\", expect_size=\"23320576\"] \n  27 -> 28 [size =\"23320576\"]\n  27 -> 32 [size =\"23320576\"]\n  27 -> 33 [size =\"23320576\"]\n  27 -> 34 [size =\"23320576\"]\n  27 -> 35 [size =\"23320576\"]\n  28 [size=\"120532480\", alpha=\"0.11\", expect_size=\"48212992\"] \n  28 -> 41 [size =\"48212992\"]\n  29 [size=\"96391680\", alpha=\"0.19\", expect_size=\"38556672\"] \n  29 -> 40 [size =\"38556672\"]\n  30 [size=\"70617600\", alpha=\"0.03\", expect_size=\"28247040\"] \n  30 -> 37 [size =\"28247040\"]\n  30 -> 38 [size =\"28247040\"]\n  30 -> 40 [size =\"28247040\"]\n  30 -> 41 [size =\"28247040\"]\n  30 -> 43 [size =\"28247040\"]\n  31 [size=\"28610560\", alpha=\"0.03\", expect_size=\"11444224\"] \n  31 -> 41 [size =\"11444224\"]\n  31 -> 43 [size =\"11444224\"]\n  31 -> 44 [size =\"11444224\"]\n  32 [size=\"48701440\", alpha=\"0.09\", expect_size=\"19480576\"] \n  32 -> 40 [size =\"19480576\"]\n  32 -> 41 [size =\"19480576\"]\n  32 -> 43 [size =\"19480576\"]\n  33 [size=\"124090880\", alpha=\"0.19\", expect_size=\"49636352\"] \n  33 -> 39 [size =\"49636352\"]\n  33 -> 41 [size =\"49636352\"]\n  33 -> 42 [size =\"49636352\"]\n  34 [size=\"90716160\", alpha=\"0.06\", expect_size=\"36286464\"] \n  34 -> 37 [size =\"36286464\"]\n  34 -> 39 [size =\"36286464\"]\n  34 -> 42 [size =\"36286464\"]\n  35 [size=\"21890560\", alpha=\"0.17\", expect_size=\"8756224\"] \n  35 -> 41 [size =\"8756224\"]\n  35 -> 42 [size =\"8756224\"]\n  35 -> 42 [size =\"8756224\"]\n  35 -> 45 [size =\"8756224\"]\n  36 [size=\"54469120\", alpha=\"0.11\", expect_size=\"21787648\"] \n  36 -> 37 [size =\"21787648\"]\n  36 -> 39 [size =\"21787648\"]\n  36 -> 42 [size =\"21787648\"]\n  36 -> 43 [size =\"21787648\"]\n  36 -> 44 [size =\"21787648\"]\n  37 [size=\"13547520\", alpha=\"0.18\", expect_size=\"5419008\"] \n  37 -> 50 [size =\"5419008\"]\n  38 [size=\"33620480\", alpha=\"0.07\", expect_size=\"13448192\"] \n  38 -> 47 [size =\"13448192\"]\n  38 -> 49 [size =\"13448192\"]\n  39 [size=\"100331520\", alpha=\"0.14\", expect_size=\"40132608\"] \n  40 [size=\"92444160\", alpha=\"0.04\", expect_size=\"36977664\"] \n  40 -> 47 [size =\"36977664\"]\n  40 -> 50 [size =\"36977664\"]\n  41 [size=\"110750720\", alpha=\"0.01\", expect_size=\"44300288\"] \n  41 -> 50 [size =\"44300288\"]\n  42 [size=\"127037440\", alpha=\"0.04\", expect_size=\"50814976\"] \n  42 -> 46 [size =\"50814976\"]\n  42 -> 48 [size =\"50814976\"]\n  43 [size=\"59351040\", alpha=\"0.07\", expect_size=\"23740416\"] \n  43 -> 47 [size =\"23740416\"]\n  43 -> 48 [size =\"23740416\"]\n  43 -> 49 [size =\"23740416\"]\n  44 [size=\"56035840\", alpha=\"0.19\", expect_size=\"22414336\"] \n  44 -> 47 [size =\"22414336\"]\n  44 -> 48 [size =\"22414336\"]\n  44 -> 49 [size =\"22414336\"]\n  44 -> 50 [size =\"22414336\"]\n  45 [size=\"93521920\", alpha=\"0.11\", expect_size=\"37408768\"] \n  45 -> 46 [size =\"37408768\"]\n  45 -> 48 [size =\"37408768\"]\n  45 -> 49 [size =\"37408768\"]\n  45 -> 50 [size =\"37408768\"]\n  46 [size=\"74874880\", alpha=\"0.15\", expect_size=\"29949952\"] \n  47 [size=\"21235200\", alpha=\"0.06\", expect_size=\"8494080\"] \n  48 [size=\"129692160\", alpha=\"0.15\", expect_size=\"51876864\"] \n  49 [size=\"51356160\", alpha=\"0.18\", expect_size=\"20542464\"] \n  50 [size=\"14126080\", alpha=\"0.11\", expect_size=\"5650432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.170.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30880427\", alpha=\"0.01\", expect_size=\"9264128\"] \n  1 -> 2 [size =\"9264128\"]\n  2 [size=\"34901333\", alpha=\"0.16\", expect_size=\"10470400\"] \n  2 -> 3 [size =\"10470400\"]\n  3 [size=\"85312853\", alpha=\"0.20\", expect_size=\"25593856\"] \n  3 -> 4 [size =\"25593856\"]\n  4 [size=\"76482560\", alpha=\"0.15\", expect_size=\"22944768\"] \n  4 -> 5 [size =\"22944768\"]\n  5 [size=\"143319040\", alpha=\"0.01\", expect_size=\"42995712\"] \n  5 -> 6 [size =\"42995712\"]\n  6 [size=\"128832853\", alpha=\"0.15\", expect_size=\"38649856\"] \n  6 -> 7 [size =\"38649856\"]\n  7 [size=\"131590827\", alpha=\"0.18\", expect_size=\"39477248\"] \n  7 -> 8 [size =\"39477248\"]\n  8 [size=\"155572907\", alpha=\"0.04\", expect_size=\"46671872\"] \n  8 -> 9 [size =\"46671872\"]\n  9 [size=\"33385813\", alpha=\"0.03\", expect_size=\"10015744\"] \n  9 -> 10 [size =\"10015744\"]\n  10 [size=\"167642453\", alpha=\"0.12\", expect_size=\"50292736\"] \n  10 -> 11 [size =\"50292736\"]\n  11 [size=\"133253120\", alpha=\"0.08\", expect_size=\"39975936\"] \n  11 -> 12 [size =\"39975936\"]\n  12 [size=\"139735040\", alpha=\"0.06\", expect_size=\"41920512\"] \n  12 -> 13 [size =\"41920512\"]\n  13 [size=\"111714987\", alpha=\"0.11\", expect_size=\"33514496\"] \n  13 -> 14 [size =\"33514496\"]\n  14 [size=\"111332693\", alpha=\"0.06\", expect_size=\"33399808\"] \n  14 -> 15 [size =\"33399808\"]\n  15 [size=\"68352000\", alpha=\"0.09\", expect_size=\"20505600\"] \n  15 -> 16 [size =\"20505600\"]\n  16 [size=\"74427733\", alpha=\"0.02\", expect_size=\"22328320\"] \n  16 -> 17 [size =\"22328320\"]\n  17 [size=\"34556587\", alpha=\"0.15\", expect_size=\"10366976\"] \n  17 -> 18 [size =\"10366976\"]\n  18 [size=\"21957973\", alpha=\"0.07\", expect_size=\"6587392\"] \n  18 -> 19 [size =\"6587392\"]\n  19 [size=\"56907093\", alpha=\"0.18\", expect_size=\"17072128\"] \n  19 -> 20 [size =\"17072128\"]\n  20 [size=\"81571840\", alpha=\"0.20\", expect_size=\"24471552\"] \n  20 -> 21 [size =\"24471552\"]\n  21 [size=\"21090987\", alpha=\"0.04\", expect_size=\"6327296\"] \n  21 -> 22 [size =\"6327296\"]\n  22 [size=\"81179307\", alpha=\"0.10\", expect_size=\"24353792\"] \n  22 -> 23 [size =\"24353792\"]\n  23 [size=\"128457387\", alpha=\"0.04\", expect_size=\"38537216\"] \n  23 -> 24 [size =\"38537216\"]\n  24 [size=\"57702400\", alpha=\"0.06\", expect_size=\"17310720\"] \n  24 -> 25 [size =\"17310720\"]\n  25 [size=\"101259947\", alpha=\"0.04\", expect_size=\"30377984\"] \n  25 -> 26 [size =\"30377984\"]\n  26 [size=\"169243307\", alpha=\"0.16\", expect_size=\"50772992\"] \n  26 -> 27 [size =\"50772992\"]\n  27 [size=\"24562347\", alpha=\"0.03\", expect_size=\"7368704\"] \n  27 -> 28 [size =\"7368704\"]\n  28 [size=\"144165547\", alpha=\"0.07\", expect_size=\"43249664\"] \n  28 -> 29 [size =\"43249664\"]\n  29 [size=\"40649387\", alpha=\"0.14\", expect_size=\"12194816\"] \n  29 -> 30 [size =\"12194816\"]\n  30 [size=\"24029867\", alpha=\"0.19\", expect_size=\"7208960\"] \n  30 -> 31 [size =\"7208960\"]\n  31 [size=\"23234560\", alpha=\"0.19\", expect_size=\"6970368\"] \n  31 -> 32 [size =\"6970368\"]\n  32 [size=\"51674453\", alpha=\"0.15\", expect_size=\"15502336\"] \n  32 -> 33 [size =\"15502336\"]\n  33 [size=\"126774613\", alpha=\"0.03\", expect_size=\"38032384\"] \n  33 -> 34 [size =\"38032384\"]\n  34 [size=\"159085227\", alpha=\"0.02\", expect_size=\"47725568\"] \n  34 -> 35 [size =\"47725568\"]\n  35 [size=\"50329600\", alpha=\"0.08\", expect_size=\"15098880\"] \n  35 -> 36 [size =\"15098880\"]\n  36 [size=\"83640320\", alpha=\"0.02\", expect_size=\"25092096\"] \n  36 -> 37 [size =\"25092096\"]\n  37 [size=\"55801173\", alpha=\"0.17\", expect_size=\"16740352\"] \n  37 -> 38 [size =\"16740352\"]\n  38 [size=\"80926720\", alpha=\"0.13\", expect_size=\"24278016\"] \n  38 -> 39 [size =\"24278016\"]\n  39 [size=\"139827200\", alpha=\"0.14\", expect_size=\"41948160\"] \n  39 -> 40 [size =\"41948160\"]\n  40 [size=\"91136000\", alpha=\"0.04\", expect_size=\"27340800\"] \n  40 -> 41 [size =\"27340800\"]\n  41 [size=\"85012480\", alpha=\"0.13\", expect_size=\"25503744\"] \n  41 -> 42 [size =\"25503744\"]\n  42 [size=\"79953920\", alpha=\"0.11\", expect_size=\"23986176\"] \n  42 -> 43 [size =\"23986176\"]\n  43 [size=\"40936107\", alpha=\"0.03\", expect_size=\"12280832\"] \n  43 -> 44 [size =\"12280832\"]\n  44 [size=\"62201173\", alpha=\"0.20\", expect_size=\"18660352\"] \n  44 -> 45 [size =\"18660352\"]\n  45 [size=\"80315733\", alpha=\"0.08\", expect_size=\"24094720\"] \n  45 -> 46 [size =\"24094720\"]\n  46 [size=\"146165760\", alpha=\"0.14\", expect_size=\"43849728\"] \n  46 -> 47 [size =\"43849728\"]\n  47 [size=\"159409493\", alpha=\"0.02\", expect_size=\"47822848\"] \n  47 -> 48 [size =\"47822848\"]\n  48 [size=\"137134080\", alpha=\"0.06\", expect_size=\"41140224\"] \n  48 -> 49 [size =\"41140224\"]\n  49 [size=\"83821227\", alpha=\"0.13\", expect_size=\"25146368\"] \n  49 -> 50 [size =\"25146368\"]\n  50 [size=\"38901760\", alpha=\"0.01\", expect_size=\"11670528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.171.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50253824\", alpha=\"0.16\", expect_size=\"25126912\"] \n  1 -> 19 [size =\"25126912\"]\n  1 -> 20 [size =\"25126912\"]\n  1 -> 21 [size =\"25126912\"]\n  1 -> 22 [size =\"25126912\"]\n  1 -> 24 [size =\"25126912\"]\n  1 -> 26 [size =\"25126912\"]\n  2 [size=\"21520384\", alpha=\"0.16\", expect_size=\"10760192\"] \n  2 -> 22 [size =\"10760192\"]\n  2 -> 26 [size =\"10760192\"]\n  2 -> 28 [size =\"10760192\"]\n  3 [size=\"45608960\", alpha=\"0.07\", expect_size=\"22804480\"] \n  3 -> 20 [size =\"22804480\"]\n  3 -> 21 [size =\"22804480\"]\n  3 -> 28 [size =\"22804480\"]\n  3 -> 29 [size =\"22804480\"]\n  4 [size=\"25065472\", alpha=\"0.01\", expect_size=\"12532736\"] \n  4 -> 14 [size =\"12532736\"]\n  4 -> 15 [size =\"12532736\"]\n  4 -> 20 [size =\"12532736\"]\n  4 -> 22 [size =\"12532736\"]\n  5 [size=\"49893376\", alpha=\"0.16\", expect_size=\"24946688\"] \n  5 -> 16 [size =\"24946688\"]\n  5 -> 17 [size =\"24946688\"]\n  5 -> 18 [size =\"24946688\"]\n  5 -> 20 [size =\"24946688\"]\n  5 -> 26 [size =\"24946688\"]\n  6 [size=\"89120768\", alpha=\"0.07\", expect_size=\"44560384\"] \n  6 -> 15 [size =\"44560384\"]\n  6 -> 19 [size =\"44560384\"]\n  6 -> 29 [size =\"44560384\"]\n  7 [size=\"48050176\", alpha=\"0.04\", expect_size=\"24025088\"] \n  7 -> 18 [size =\"24025088\"]\n  7 -> 19 [size =\"24025088\"]\n  7 -> 22 [size =\"24025088\"]\n  7 -> 26 [size =\"24025088\"]\n  7 -> 28 [size =\"24025088\"]\n  8 [size=\"33054720\", alpha=\"0.10\", expect_size=\"16527360\"] \n  8 -> 20 [size =\"16527360\"]\n  9 [size=\"65298432\", alpha=\"0.18\", expect_size=\"32649216\"] \n  9 -> 15 [size =\"32649216\"]\n  9 -> 20 [size =\"32649216\"]\n  9 -> 22 [size =\"32649216\"]\n  9 -> 25 [size =\"32649216\"]\n  9 -> 26 [size =\"32649216\"]\n  9 -> 27 [size =\"32649216\"]\n  10 [size=\"83046400\", alpha=\"0.02\", expect_size=\"41523200\"] \n  10 -> 15 [size =\"41523200\"]\n  10 -> 17 [size =\"41523200\"]\n  10 -> 20 [size =\"41523200\"]\n  10 -> 22 [size =\"41523200\"]\n  10 -> 23 [size =\"41523200\"]\n  10 -> 25 [size =\"41523200\"]\n  11 [size=\"93569024\", alpha=\"0.18\", expect_size=\"46784512\"] \n  11 -> 13 [size =\"46784512\"]\n  11 -> 17 [size =\"46784512\"]\n  11 -> 18 [size =\"46784512\"]\n  12 [size=\"76376064\", alpha=\"0.20\", expect_size=\"38188032\"] \n  12 -> 13 [size =\"38188032\"]\n  12 -> 17 [size =\"38188032\"]\n  12 -> 19 [size =\"38188032\"]\n  12 -> 21 [size =\"38188032\"]\n  12 -> 22 [size =\"38188032\"]\n  12 -> 24 [size =\"38188032\"]\n  12 -> 26 [size =\"38188032\"]\n  12 -> 27 [size =\"38188032\"]\n  13 [size=\"56354816\", alpha=\"0.18\", expect_size=\"28177408\"] \n  13 -> 31 [size =\"28177408\"]\n  13 -> 32 [size =\"28177408\"]\n  13 -> 34 [size =\"28177408\"]\n  14 [size=\"89741312\", alpha=\"0.00\", expect_size=\"44870656\"] \n  14 -> 31 [size =\"44870656\"]\n  14 -> 35 [size =\"44870656\"]\n  14 -> 39 [size =\"44870656\"]\n  15 [size=\"92256256\", alpha=\"0.11\", expect_size=\"46128128\"] \n  15 -> 32 [size =\"46128128\"]\n  15 -> 33 [size =\"46128128\"]\n  15 -> 36 [size =\"46128128\"]\n  15 -> 37 [size =\"46128128\"]\n  15 -> 38 [size =\"46128128\"]\n  15 -> 40 [size =\"46128128\"]\n  15 -> 41 [size =\"46128128\"]\n  16 [size=\"72159232\", alpha=\"0.09\", expect_size=\"36079616\"] \n  16 -> 32 [size =\"36079616\"]\n  16 -> 33 [size =\"36079616\"]\n  16 -> 34 [size =\"36079616\"]\n  16 -> 37 [size =\"36079616\"]\n  16 -> 40 [size =\"36079616\"]\n  16 -> 41 [size =\"36079616\"]\n  17 [size=\"103897088\", alpha=\"0.17\", expect_size=\"51948544\"] \n  17 -> 31 [size =\"51948544\"]\n  17 -> 34 [size =\"51948544\"]\n  17 -> 34 [size =\"51948544\"]\n  17 -> 39 [size =\"51948544\"]\n  17 -> 40 [size =\"51948544\"]\n  17 -> 41 [size =\"51948544\"]\n  18 [size=\"28598272\", alpha=\"0.01\", expect_size=\"14299136\"] \n  18 -> 30 [size =\"14299136\"]\n  18 -> 39 [size =\"14299136\"]\n  18 -> 40 [size =\"14299136\"]\n  19 [size=\"77889536\", alpha=\"0.12\", expect_size=\"38944768\"] \n  19 -> 31 [size =\"38944768\"]\n  19 -> 37 [size =\"38944768\"]\n  19 -> 39 [size =\"38944768\"]\n  20 [size=\"69285888\", alpha=\"0.19\", expect_size=\"34642944\"] \n  20 -> 34 [size =\"34642944\"]\n  20 -> 36 [size =\"34642944\"]\n  20 -> 37 [size =\"34642944\"]\n  20 -> 39 [size =\"34642944\"]\n  21 [size=\"77537280\", alpha=\"0.14\", expect_size=\"38768640\"] \n  21 -> 31 [size =\"38768640\"]\n  21 -> 36 [size =\"38768640\"]\n  21 -> 39 [size =\"38768640\"]\n  22 [size=\"69425152\", alpha=\"0.11\", expect_size=\"34712576\"] \n  22 -> 31 [size =\"34712576\"]\n  22 -> 33 [size =\"34712576\"]\n  22 -> 36 [size =\"34712576\"]\n  22 -> 39 [size =\"34712576\"]\n  22 -> 40 [size =\"34712576\"]\n  22 -> 41 [size =\"34712576\"]\n  23 [size=\"67295232\", alpha=\"0.16\", expect_size=\"33647616\"] \n  23 -> 30 [size =\"33647616\"]\n  23 -> 31 [size =\"33647616\"]\n  23 -> 33 [size =\"33647616\"]\n  23 -> 41 [size =\"33647616\"]\n  24 [size=\"59244544\", alpha=\"0.04\", expect_size=\"29622272\"] \n  24 -> 31 [size =\"29622272\"]\n  24 -> 34 [size =\"29622272\"]\n  24 -> 35 [size =\"29622272\"]\n  24 -> 41 [size =\"29622272\"]\n  25 [size=\"60364800\", alpha=\"0.00\", expect_size=\"30182400\"] \n  25 -> 31 [size =\"30182400\"]\n  25 -> 32 [size =\"30182400\"]\n  25 -> 35 [size =\"30182400\"]\n  25 -> 41 [size =\"30182400\"]\n  26 [size=\"17215488\", alpha=\"0.13\", expect_size=\"8607744\"] \n  26 -> 31 [size =\"8607744\"]\n  26 -> 35 [size =\"8607744\"]\n  26 -> 41 [size =\"8607744\"]\n  26 -> 41 [size =\"8607744\"]\n  27 [size=\"61526016\", alpha=\"0.14\", expect_size=\"30763008\"] \n  27 -> 34 [size =\"30763008\"]\n  27 -> 40 [size =\"30763008\"]\n  27 -> 41 [size =\"30763008\"]\n  28 [size=\"45760512\", alpha=\"0.19\", expect_size=\"22880256\"] \n  28 -> 30 [size =\"22880256\"]\n  28 -> 32 [size =\"22880256\"]\n  28 -> 33 [size =\"22880256\"]\n  28 -> 39 [size =\"22880256\"]\n  28 -> 40 [size =\"22880256\"]\n  29 [size=\"50165760\", alpha=\"0.17\", expect_size=\"25082880\"] \n  29 -> 30 [size =\"25082880\"]\n  29 -> 33 [size =\"25082880\"]\n  29 -> 39 [size =\"25082880\"]\n  29 -> 41 [size =\"25082880\"]\n  30 [size=\"13119488\", alpha=\"0.09\", expect_size=\"6559744\"] \n  30 -> 42 [size =\"6559744\"]\n  30 -> 44 [size =\"6559744\"]\n  30 -> 45 [size =\"6559744\"]\n  30 -> 46 [size =\"6559744\"]\n  30 -> 47 [size =\"6559744\"]\n  31 [size=\"101541888\", alpha=\"0.20\", expect_size=\"50770944\"] \n  31 -> 45 [size =\"50770944\"]\n  32 [size=\"72087552\", alpha=\"0.04\", expect_size=\"36043776\"] \n  32 -> 44 [size =\"36043776\"]\n  33 [size=\"30164992\", alpha=\"0.18\", expect_size=\"15082496\"] \n  33 -> 44 [size =\"15082496\"]\n  34 [size=\"10897408\", alpha=\"0.09\", expect_size=\"5448704\"] \n  34 -> 45 [size =\"5448704\"]\n  35 [size=\"28866560\", alpha=\"0.17\", expect_size=\"14433280\"] \n  35 -> 43 [size =\"14433280\"]\n  35 -> 44 [size =\"14433280\"]\n  35 -> 45 [size =\"14433280\"]\n  36 [size=\"29106176\", alpha=\"0.18\", expect_size=\"14553088\"] \n  36 -> 42 [size =\"14553088\"]\n  36 -> 44 [size =\"14553088\"]\n  36 -> 50 [size =\"14553088\"]\n  37 [size=\"90255360\", alpha=\"0.19\", expect_size=\"45127680\"] \n  37 -> 42 [size =\"45127680\"]\n  37 -> 44 [size =\"45127680\"]\n  37 -> 48 [size =\"45127680\"]\n  37 -> 49 [size =\"45127680\"]\n  38 [size=\"61132800\", alpha=\"0.03\", expect_size=\"30566400\"] \n  38 -> 42 [size =\"30566400\"]\n  38 -> 43 [size =\"30566400\"]\n  38 -> 46 [size =\"30566400\"]\n  38 -> 47 [size =\"30566400\"]\n  38 -> 50 [size =\"30566400\"]\n  39 [size=\"58681344\", alpha=\"0.03\", expect_size=\"29340672\"] \n  39 -> 42 [size =\"29340672\"]\n  39 -> 46 [size =\"29340672\"]\n  39 -> 50 [size =\"29340672\"]\n  40 [size=\"43345920\", alpha=\"0.14\", expect_size=\"21672960\"] \n  40 -> 43 [size =\"21672960\"]\n  40 -> 46 [size =\"21672960\"]\n  41 [size=\"87685120\", alpha=\"0.20\", expect_size=\"43842560\"] \n  41 -> 43 [size =\"43842560\"]\n  41 -> 44 [size =\"43842560\"]\n  41 -> 45 [size =\"43842560\"]\n  41 -> 46 [size =\"43842560\"]\n  42 [size=\"86038528\", alpha=\"0.18\", expect_size=\"43019264\"] \n  43 [size=\"104300544\", alpha=\"0.08\", expect_size=\"52150272\"] \n  44 [size=\"93966336\", alpha=\"0.09\", expect_size=\"46983168\"] \n  45 [size=\"39923712\", alpha=\"0.20\", expect_size=\"19961856\"] \n  46 [size=\"23943168\", alpha=\"0.13\", expect_size=\"11971584\"] \n  47 [size=\"13326336\", alpha=\"0.16\", expect_size=\"6663168\"] \n  48 [size=\"101484544\", alpha=\"0.07\", expect_size=\"50742272\"] \n  49 [size=\"23416832\", alpha=\"0.06\", expect_size=\"11708416\"] \n  50 [size=\"35270656\", alpha=\"0.06\", expect_size=\"17635328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.172.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47767040\", alpha=\"0.11\", expect_size=\"19106816\"] \n  1 -> 21 [size =\"19106816\"]\n  1 -> 25 [size =\"19106816\"]\n  1 -> 25 [size =\"19106816\"]\n  2 [size=\"97139200\", alpha=\"0.19\", expect_size=\"38855680\"] \n  2 -> 20 [size =\"38855680\"]\n  2 -> 21 [size =\"38855680\"]\n  2 -> 23 [size =\"38855680\"]\n  2 -> 24 [size =\"38855680\"]\n  2 -> 27 [size =\"38855680\"]\n  3 [size=\"60029440\", alpha=\"0.03\", expect_size=\"24011776\"] \n  3 -> 20 [size =\"24011776\"]\n  3 -> 22 [size =\"24011776\"]\n  3 -> 23 [size =\"24011776\"]\n  3 -> 24 [size =\"24011776\"]\n  3 -> 25 [size =\"24011776\"]\n  3 -> 27 [size =\"24011776\"]\n  3 -> 28 [size =\"24011776\"]\n  3 -> 29 [size =\"24011776\"]\n  4 [size=\"103503360\", alpha=\"0.19\", expect_size=\"41401344\"] \n  4 -> 20 [size =\"41401344\"]\n  4 -> 25 [size =\"41401344\"]\n  4 -> 28 [size =\"41401344\"]\n  5 [size=\"106424320\", alpha=\"0.04\", expect_size=\"42569728\"] \n  5 -> 25 [size =\"42569728\"]\n  5 -> 27 [size =\"42569728\"]\n  5 -> 28 [size =\"42569728\"]\n  5 -> 29 [size =\"42569728\"]\n  6 [size=\"92106240\", alpha=\"0.09\", expect_size=\"36842496\"] \n  6 -> 24 [size =\"36842496\"]\n  6 -> 25 [size =\"36842496\"]\n  6 -> 28 [size =\"36842496\"]\n  6 -> 29 [size =\"36842496\"]\n  7 [size=\"109780480\", alpha=\"0.04\", expect_size=\"43912192\"] \n  7 -> 24 [size =\"43912192\"]\n  7 -> 25 [size =\"43912192\"]\n  8 [size=\"38748160\", alpha=\"0.19\", expect_size=\"15499264\"] \n  8 -> 24 [size =\"15499264\"]\n  8 -> 25 [size =\"15499264\"]\n  9 [size=\"47321600\", alpha=\"0.03\", expect_size=\"18928640\"] \n  9 -> 20 [size =\"18928640\"]\n  9 -> 22 [size =\"18928640\"]\n  9 -> 23 [size =\"18928640\"]\n  9 -> 24 [size =\"18928640\"]\n  10 [size=\"36741120\", alpha=\"0.09\", expect_size=\"14696448\"] \n  10 -> 22 [size =\"14696448\"]\n  10 -> 28 [size =\"14696448\"]\n  11 [size=\"67217920\", alpha=\"0.15\", expect_size=\"26887168\"] \n  11 -> 20 [size =\"26887168\"]\n  11 -> 21 [size =\"26887168\"]\n  11 -> 24 [size =\"26887168\"]\n  11 -> 28 [size =\"26887168\"]\n  11 -> 29 [size =\"26887168\"]\n  12 [size=\"13882880\", alpha=\"0.18\", expect_size=\"5553152\"] \n  12 -> 20 [size =\"5553152\"]\n  12 -> 24 [size =\"5553152\"]\n  12 -> 28 [size =\"5553152\"]\n  12 -> 29 [size =\"5553152\"]\n  13 [size=\"127930880\", alpha=\"0.04\", expect_size=\"51172352\"] \n  13 -> 19 [size =\"51172352\"]\n  13 -> 20 [size =\"51172352\"]\n  13 -> 25 [size =\"51172352\"]\n  13 -> 27 [size =\"51172352\"]\n  13 -> 28 [size =\"51172352\"]\n  13 -> 29 [size =\"51172352\"]\n  14 [size=\"29770240\", alpha=\"0.15\", expect_size=\"11908096\"] \n  14 -> 27 [size =\"11908096\"]\n  14 -> 28 [size =\"11908096\"]\n  14 -> 29 [size =\"11908096\"]\n  15 [size=\"25003520\", alpha=\"0.07\", expect_size=\"10001408\"] \n  15 -> 27 [size =\"10001408\"]\n  15 -> 29 [size =\"10001408\"]\n  16 [size=\"47388160\", alpha=\"0.19\", expect_size=\"18955264\"] \n  16 -> 19 [size =\"18955264\"]\n  16 -> 24 [size =\"18955264\"]\n  16 -> 25 [size =\"18955264\"]\n  16 -> 28 [size =\"18955264\"]\n  17 [size=\"102131200\", alpha=\"0.01\", expect_size=\"40852480\"] \n  17 -> 20 [size =\"40852480\"]\n  17 -> 24 [size =\"40852480\"]\n  17 -> 25 [size =\"40852480\"]\n  17 -> 26 [size =\"40852480\"]\n  17 -> 28 [size =\"40852480\"]\n  17 -> 29 [size =\"40852480\"]\n  18 [size=\"123845120\", alpha=\"0.14\", expect_size=\"49538048\"] \n  18 -> 24 [size =\"49538048\"]\n  18 -> 24 [size =\"49538048\"]\n  18 -> 25 [size =\"49538048\"]\n  18 -> 28 [size =\"49538048\"]\n  19 [size=\"116766720\", alpha=\"0.08\", expect_size=\"46706688\"] \n  19 -> 32 [size =\"46706688\"]\n  19 -> 37 [size =\"46706688\"]\n  19 -> 38 [size =\"46706688\"]\n  19 -> 39 [size =\"46706688\"]\n  19 -> 40 [size =\"46706688\"]\n  19 -> 41 [size =\"46706688\"]\n  19 -> 41 [size =\"46706688\"]\n  20 [size=\"19102720\", alpha=\"0.04\", expect_size=\"7641088\"] \n  20 -> 30 [size =\"7641088\"]\n  20 -> 35 [size =\"7641088\"]\n  20 -> 37 [size =\"7641088\"]\n  20 -> 39 [size =\"7641088\"]\n  20 -> 40 [size =\"7641088\"]\n  21 [size=\"73497600\", alpha=\"0.06\", expect_size=\"29399040\"] \n  21 -> 30 [size =\"29399040\"]\n  21 -> 35 [size =\"29399040\"]\n  21 -> 36 [size =\"29399040\"]\n  21 -> 37 [size =\"29399040\"]\n  21 -> 39 [size =\"29399040\"]\n  21 -> 40 [size =\"29399040\"]\n  21 -> 41 [size =\"29399040\"]\n  21 -> 42 [size =\"29399040\"]\n  22 [size=\"42260480\", alpha=\"0.02\", expect_size=\"16904192\"] \n  22 -> 30 [size =\"16904192\"]\n  22 -> 32 [size =\"16904192\"]\n  22 -> 36 [size =\"16904192\"]\n  22 -> 37 [size =\"16904192\"]\n  22 -> 38 [size =\"16904192\"]\n  22 -> 40 [size =\"16904192\"]\n  22 -> 41 [size =\"16904192\"]\n  22 -> 42 [size =\"16904192\"]\n  23 [size=\"32389120\", alpha=\"0.07\", expect_size=\"12955648\"] \n  23 -> 30 [size =\"12955648\"]\n  23 -> 34 [size =\"12955648\"]\n  23 -> 35 [size =\"12955648\"]\n  23 -> 36 [size =\"12955648\"]\n  23 -> 38 [size =\"12955648\"]\n  23 -> 40 [size =\"12955648\"]\n  24 [size=\"54228480\", alpha=\"0.06\", expect_size=\"21691392\"] \n  24 -> 30 [size =\"21691392\"]\n  24 -> 32 [size =\"21691392\"]\n  24 -> 33 [size =\"21691392\"]\n  24 -> 35 [size =\"21691392\"]\n  24 -> 36 [size =\"21691392\"]\n  24 -> 42 [size =\"21691392\"]\n  25 [size=\"27624960\", alpha=\"0.02\", expect_size=\"11049984\"] \n  25 -> 30 [size =\"11049984\"]\n  25 -> 32 [size =\"11049984\"]\n  25 -> 35 [size =\"11049984\"]\n  25 -> 37 [size =\"11049984\"]\n  25 -> 38 [size =\"11049984\"]\n  25 -> 42 [size =\"11049984\"]\n  26 [size=\"68231680\", alpha=\"0.10\", expect_size=\"27292672\"] \n  26 -> 32 [size =\"27292672\"]\n  26 -> 34 [size =\"27292672\"]\n  26 -> 35 [size =\"27292672\"]\n  26 -> 39 [size =\"27292672\"]\n  26 -> 42 [size =\"27292672\"]\n  27 [size=\"59701760\", alpha=\"0.15\", expect_size=\"23880704\"] \n  27 -> 30 [size =\"23880704\"]\n  27 -> 32 [size =\"23880704\"]\n  27 -> 33 [size =\"23880704\"]\n  27 -> 34 [size =\"23880704\"]\n  27 -> 35 [size =\"23880704\"]\n  27 -> 37 [size =\"23880704\"]\n  27 -> 38 [size =\"23880704\"]\n  27 -> 39 [size =\"23880704\"]\n  27 -> 40 [size =\"23880704\"]\n  28 [size=\"65285120\", alpha=\"0.05\", expect_size=\"26114048\"] \n  28 -> 30 [size =\"26114048\"]\n  28 -> 33 [size =\"26114048\"]\n  28 -> 35 [size =\"26114048\"]\n  28 -> 36 [size =\"26114048\"]\n  28 -> 38 [size =\"26114048\"]\n  28 -> 39 [size =\"26114048\"]\n  28 -> 41 [size =\"26114048\"]\n  28 -> 42 [size =\"26114048\"]\n  29 [size=\"29537280\", alpha=\"0.00\", expect_size=\"11814912\"] \n  29 -> 31 [size =\"11814912\"]\n  29 -> 34 [size =\"11814912\"]\n  29 -> 36 [size =\"11814912\"]\n  29 -> 37 [size =\"11814912\"]\n  29 -> 38 [size =\"11814912\"]\n  29 -> 39 [size =\"11814912\"]\n  29 -> 41 [size =\"11814912\"]\n  29 -> 42 [size =\"11814912\"]\n  30 [size=\"77271040\", alpha=\"0.19\", expect_size=\"30908416\"] \n  30 -> 44 [size =\"30908416\"]\n  30 -> 45 [size =\"30908416\"]\n  30 -> 47 [size =\"30908416\"]\n  30 -> 49 [size =\"30908416\"]\n  31 [size=\"102133760\", alpha=\"0.08\", expect_size=\"40853504\"] \n  31 -> 45 [size =\"40853504\"]\n  31 -> 48 [size =\"40853504\"]\n  32 [size=\"20823040\", alpha=\"0.17\", expect_size=\"8329216\"] \n  32 -> 43 [size =\"8329216\"]\n  32 -> 45 [size =\"8329216\"]\n  32 -> 47 [size =\"8329216\"]\n  32 -> 50 [size =\"8329216\"]\n  33 [size=\"35338240\", alpha=\"0.05\", expect_size=\"14135296\"] \n  33 -> 45 [size =\"14135296\"]\n  33 -> 46 [size =\"14135296\"]\n  33 -> 48 [size =\"14135296\"]\n  34 [size=\"74636800\", alpha=\"0.15\", expect_size=\"29854720\"] \n  34 -> 44 [size =\"29854720\"]\n  34 -> 45 [size =\"29854720\"]\n  34 -> 46 [size =\"29854720\"]\n  34 -> 49 [size =\"29854720\"]\n  35 [size=\"111147520\", alpha=\"0.08\", expect_size=\"44459008\"] \n  35 -> 44 [size =\"44459008\"]\n  35 -> 49 [size =\"44459008\"]\n  36 [size=\"120230400\", alpha=\"0.07\", expect_size=\"48092160\"] \n  36 -> 43 [size =\"48092160\"]\n  36 -> 47 [size =\"48092160\"]\n  36 -> 48 [size =\"48092160\"]\n  37 [size=\"62917120\", alpha=\"0.01\", expect_size=\"25166848\"] \n  37 -> 48 [size =\"25166848\"]\n  37 -> 50 [size =\"25166848\"]\n  38 [size=\"35878400\", alpha=\"0.13\", expect_size=\"14351360\"] \n  38 -> 47 [size =\"14351360\"]\n  38 -> 48 [size =\"14351360\"]\n  38 -> 49 [size =\"14351360\"]\n  38 -> 50 [size =\"14351360\"]\n  39 [size=\"64762880\", alpha=\"0.04\", expect_size=\"25905152\"] \n  39 -> 44 [size =\"25905152\"]\n  39 -> 48 [size =\"25905152\"]\n  39 -> 49 [size =\"25905152\"]\n  40 [size=\"65815040\", alpha=\"0.15\", expect_size=\"26326016\"] \n  40 -> 45 [size =\"26326016\"]\n  40 -> 46 [size =\"26326016\"]\n  40 -> 49 [size =\"26326016\"]\n  41 [size=\"62673920\", alpha=\"0.16\", expect_size=\"25069568\"] \n  41 -> 44 [size =\"25069568\"]\n  41 -> 46 [size =\"25069568\"]\n  41 -> 48 [size =\"25069568\"]\n  41 -> 49 [size =\"25069568\"]\n  42 [size=\"109450240\", alpha=\"0.03\", expect_size=\"43780096\"] \n  42 -> 45 [size =\"43780096\"]\n  42 -> 47 [size =\"43780096\"]\n  42 -> 49 [size =\"43780096\"]\n  43 [size=\"88957440\", alpha=\"0.12\", expect_size=\"35582976\"] \n  44 [size=\"116019200\", alpha=\"0.09\", expect_size=\"46407680\"] \n  45 [size=\"89336320\", alpha=\"0.08\", expect_size=\"35734528\"] \n  46 [size=\"20805120\", alpha=\"0.16\", expect_size=\"8322048\"] \n  47 [size=\"62673920\", alpha=\"0.13\", expect_size=\"25069568\"] \n  48 [size=\"68037120\", alpha=\"0.18\", expect_size=\"27214848\"] \n  49 [size=\"29672960\", alpha=\"0.06\", expect_size=\"11869184\"] \n  50 [size=\"51240960\", alpha=\"0.05\", expect_size=\"20496384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.173.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30646272\", alpha=\"0.14\", expect_size=\"15323136\"] \n  1 -> 4 [size =\"15323136\"]\n  1 -> 5 [size =\"15323136\"]\n  1 -> 6 [size =\"15323136\"]\n  2 [size=\"90224640\", alpha=\"0.13\", expect_size=\"45112320\"] \n  2 -> 4 [size =\"45112320\"]\n  2 -> 6 [size =\"45112320\"]\n  3 [size=\"62337024\", alpha=\"0.19\", expect_size=\"31168512\"] \n  3 -> 4 [size =\"31168512\"]\n  3 -> 6 [size =\"31168512\"]\n  4 [size=\"39970816\", alpha=\"0.12\", expect_size=\"19985408\"] \n  4 -> 7 [size =\"19985408\"]\n  5 [size=\"32493568\", alpha=\"0.09\", expect_size=\"16246784\"] \n  5 -> 7 [size =\"16246784\"]\n  5 -> 8 [size =\"16246784\"]\n  6 [size=\"47343616\", alpha=\"0.05\", expect_size=\"23671808\"] \n  6 -> 7 [size =\"23671808\"]\n  6 -> 8 [size =\"23671808\"]\n  6 -> 9 [size =\"23671808\"]\n  7 [size=\"75376640\", alpha=\"0.17\", expect_size=\"37688320\"] \n  7 -> 10 [size =\"37688320\"]\n  7 -> 12 [size =\"37688320\"]\n  8 [size=\"66914304\", alpha=\"0.06\", expect_size=\"33457152\"] \n  8 -> 10 [size =\"33457152\"]\n  8 -> 11 [size =\"33457152\"]\n  8 -> 12 [size =\"33457152\"]\n  9 [size=\"53911552\", alpha=\"0.14\", expect_size=\"26955776\"] \n  9 -> 10 [size =\"26955776\"]\n  9 -> 11 [size =\"26955776\"]\n  10 [size=\"20418560\", alpha=\"0.15\", expect_size=\"10209280\"] \n  10 -> 14 [size =\"10209280\"]\n  11 [size=\"65937408\", alpha=\"0.06\", expect_size=\"32968704\"] \n  11 -> 13 [size =\"32968704\"]\n  11 -> 14 [size =\"32968704\"]\n  12 [size=\"38737920\", alpha=\"0.09\", expect_size=\"19368960\"] \n  12 -> 14 [size =\"19368960\"]\n  13 [size=\"101001216\", alpha=\"0.15\", expect_size=\"50500608\"] \n  13 -> 15 [size =\"50500608\"]\n  13 -> 17 [size =\"50500608\"]\n  14 [size=\"96790528\", alpha=\"0.12\", expect_size=\"48395264\"] \n  14 -> 15 [size =\"48395264\"]\n  14 -> 16 [size =\"48395264\"]\n  15 [size=\"56969216\", alpha=\"0.07\", expect_size=\"28484608\"] \n  15 -> 18 [size =\"28484608\"]\n  15 -> 19 [size =\"28484608\"]\n  15 -> 20 [size =\"28484608\"]\n  16 [size=\"101443584\", alpha=\"0.17\", expect_size=\"50721792\"] \n  16 -> 18 [size =\"50721792\"]\n  16 -> 20 [size =\"50721792\"]\n  17 [size=\"29212672\", alpha=\"0.12\", expect_size=\"14606336\"] \n  17 -> 18 [size =\"14606336\"]\n  17 -> 20 [size =\"14606336\"]\n  18 [size=\"16257024\", alpha=\"0.09\", expect_size=\"8128512\"] \n  18 -> 22 [size =\"8128512\"]\n  19 [size=\"46782464\", alpha=\"0.07\", expect_size=\"23391232\"] \n  19 -> 21 [size =\"23391232\"]\n  19 -> 22 [size =\"23391232\"]\n  20 [size=\"17573888\", alpha=\"0.17\", expect_size=\"8786944\"] \n  20 -> 22 [size =\"8786944\"]\n  21 [size=\"88584192\", alpha=\"0.11\", expect_size=\"44292096\"] \n  21 -> 23 [size =\"44292096\"]\n  21 -> 24 [size =\"44292096\"]\n  22 [size=\"23265280\", alpha=\"0.02\", expect_size=\"11632640\"] \n  22 -> 23 [size =\"11632640\"]\n  22 -> 24 [size =\"11632640\"]\n  23 [size=\"63897600\", alpha=\"0.03\", expect_size=\"31948800\"] \n  23 -> 25 [size =\"31948800\"]\n  23 -> 26 [size =\"31948800\"]\n  23 -> 27 [size =\"31948800\"]\n  24 [size=\"39065600\", alpha=\"0.12\", expect_size=\"19532800\"] \n  24 -> 25 [size =\"19532800\"]\n  24 -> 26 [size =\"19532800\"]\n  24 -> 27 [size =\"19532800\"]\n  25 [size=\"96770048\", alpha=\"0.04\", expect_size=\"48385024\"] \n  25 -> 28 [size =\"48385024\"]\n  25 -> 30 [size =\"48385024\"]\n  26 [size=\"37746688\", alpha=\"0.05\", expect_size=\"18873344\"] \n  26 -> 28 [size =\"18873344\"]\n  26 -> 29 [size =\"18873344\"]\n  26 -> 30 [size =\"18873344\"]\n  27 [size=\"23273472\", alpha=\"0.19\", expect_size=\"11636736\"] \n  27 -> 28 [size =\"11636736\"]\n  27 -> 29 [size =\"11636736\"]\n  28 [size=\"80164864\", alpha=\"0.06\", expect_size=\"40082432\"] \n  28 -> 31 [size =\"40082432\"]\n  28 -> 32 [size =\"40082432\"]\n  29 [size=\"27547648\", alpha=\"0.01\", expect_size=\"13773824\"] \n  29 -> 31 [size =\"13773824\"]\n  29 -> 32 [size =\"13773824\"]\n  30 [size=\"59996160\", alpha=\"0.19\", expect_size=\"29998080\"] \n  30 -> 32 [size =\"29998080\"]\n  31 [size=\"44042240\", alpha=\"0.08\", expect_size=\"22021120\"] \n  31 -> 33 [size =\"22021120\"]\n  31 -> 34 [size =\"22021120\"]\n  32 [size=\"94224384\", alpha=\"0.04\", expect_size=\"47112192\"] \n  32 -> 34 [size =\"47112192\"]\n  33 [size=\"101533696\", alpha=\"0.18\", expect_size=\"50766848\"] \n  33 -> 36 [size =\"50766848\"]\n  33 -> 37 [size =\"50766848\"]\n  34 [size=\"23455744\", alpha=\"0.11\", expect_size=\"11727872\"] \n  34 -> 35 [size =\"11727872\"]\n  34 -> 36 [size =\"11727872\"]\n  34 -> 37 [size =\"11727872\"]\n  35 [size=\"78217216\", alpha=\"0.14\", expect_size=\"39108608\"] \n  35 -> 38 [size =\"39108608\"]\n  35 -> 39 [size =\"39108608\"]\n  36 [size=\"99084288\", alpha=\"0.16\", expect_size=\"49542144\"] \n  36 -> 38 [size =\"49542144\"]\n  36 -> 39 [size =\"49542144\"]\n  37 [size=\"28542976\", alpha=\"0.02\", expect_size=\"14271488\"] \n  37 -> 38 [size =\"14271488\"]\n  37 -> 39 [size =\"14271488\"]\n  38 [size=\"25858048\", alpha=\"0.09\", expect_size=\"12929024\"] \n  38 -> 40 [size =\"12929024\"]\n  38 -> 41 [size =\"12929024\"]\n  39 [size=\"53088256\", alpha=\"0.04\", expect_size=\"26544128\"] \n  39 -> 40 [size =\"26544128\"]\n  39 -> 41 [size =\"26544128\"]\n  40 [size=\"59287552\", alpha=\"0.00\", expect_size=\"29643776\"] \n  40 -> 42 [size =\"29643776\"]\n  40 -> 43 [size =\"29643776\"]\n  40 -> 44 [size =\"29643776\"]\n  41 [size=\"54390784\", alpha=\"0.13\", expect_size=\"27195392\"] \n  41 -> 42 [size =\"27195392\"]\n  41 -> 43 [size =\"27195392\"]\n  41 -> 44 [size =\"27195392\"]\n  42 [size=\"93847552\", alpha=\"0.09\", expect_size=\"46923776\"] \n  42 -> 45 [size =\"46923776\"]\n  42 -> 46 [size =\"46923776\"]\n  43 [size=\"17168384\", alpha=\"0.16\", expect_size=\"8584192\"] \n  43 -> 45 [size =\"8584192\"]\n  43 -> 46 [size =\"8584192\"]\n  43 -> 47 [size =\"8584192\"]\n  44 [size=\"103614464\", alpha=\"0.09\", expect_size=\"51807232\"] \n  44 -> 46 [size =\"51807232\"]\n  44 -> 47 [size =\"51807232\"]\n  44 -> 47 [size =\"51807232\"]\n  45 [size=\"62001152\", alpha=\"0.00\", expect_size=\"31000576\"] \n  45 -> 48 [size =\"31000576\"]\n  46 [size=\"33185792\", alpha=\"0.17\", expect_size=\"16592896\"] \n  46 -> 48 [size =\"16592896\"]\n  46 -> 49 [size =\"16592896\"]\n  47 [size=\"13756416\", alpha=\"0.17\", expect_size=\"6878208\"] \n  47 -> 48 [size =\"6878208\"]\n  47 -> 49 [size =\"6878208\"]\n  48 [size=\"22441984\", alpha=\"0.12\", expect_size=\"11220992\"] \n  48 -> 50 [size =\"11220992\"]\n  49 [size=\"65011712\", alpha=\"0.10\", expect_size=\"32505856\"] \n  49 -> 50 [size =\"32505856\"]\n  50 [size=\"83392512\", alpha=\"0.18\", expect_size=\"41696256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.174.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92554240\", alpha=\"0.02\", expect_size=\"37021696\"] \n  1 -> 4 [size =\"37021696\"]\n  1 -> 5 [size =\"37021696\"]\n  2 [size=\"24140800\", alpha=\"0.10\", expect_size=\"9656320\"] \n  2 -> 4 [size =\"9656320\"]\n  3 [size=\"97024000\", alpha=\"0.09\", expect_size=\"38809600\"] \n  3 -> 4 [size =\"38809600\"]\n  4 [size=\"27678720\", alpha=\"0.14\", expect_size=\"11071488\"] \n  4 -> 6 [size =\"11071488\"]\n  4 -> 7 [size =\"11071488\"]\n  4 -> 8 [size =\"11071488\"]\n  5 [size=\"27340800\", alpha=\"0.05\", expect_size=\"10936320\"] \n  5 -> 6 [size =\"10936320\"]\n  5 -> 7 [size =\"10936320\"]\n  5 -> 8 [size =\"10936320\"]\n  6 [size=\"45573120\", alpha=\"0.12\", expect_size=\"18229248\"] \n  6 -> 10 [size =\"18229248\"]\n  7 [size=\"92738560\", alpha=\"0.11\", expect_size=\"37095424\"] \n  7 -> 9 [size =\"37095424\"]\n  7 -> 10 [size =\"37095424\"]\n  8 [size=\"23462400\", alpha=\"0.01\", expect_size=\"9384960\"] \n  8 -> 9 [size =\"9384960\"]\n  9 [size=\"29544960\", alpha=\"0.01\", expect_size=\"11817984\"] \n  9 -> 11 [size =\"11817984\"]\n  9 -> 12 [size =\"11817984\"]\n  9 -> 13 [size =\"11817984\"]\n  10 [size=\"43950080\", alpha=\"0.17\", expect_size=\"17580032\"] \n  11 [size=\"28328960\", alpha=\"0.10\", expect_size=\"11331584\"] \n  11 -> 14 [size =\"11331584\"]\n  11 -> 15 [size =\"11331584\"]\n  12 [size=\"39892480\", alpha=\"0.12\", expect_size=\"15956992\"] \n  12 -> 14 [size =\"15956992\"]\n  13 [size=\"96721920\", alpha=\"0.15\", expect_size=\"38688768\"] \n  13 -> 14 [size =\"38688768\"]\n  13 -> 15 [size =\"38688768\"]\n  14 [size=\"32448000\", alpha=\"0.15\", expect_size=\"12979200\"] \n  14 -> 16 [size =\"12979200\"]\n  14 -> 17 [size =\"12979200\"]\n  15 [size=\"115578880\", alpha=\"0.16\", expect_size=\"46231552\"] \n  15 -> 16 [size =\"46231552\"]\n  15 -> 17 [size =\"46231552\"]\n  16 [size=\"25126400\", alpha=\"0.06\", expect_size=\"10050560\"] \n  16 -> 18 [size =\"10050560\"]\n  16 -> 19 [size =\"10050560\"]\n  17 [size=\"98736640\", alpha=\"0.13\", expect_size=\"39494656\"] \n  17 -> 18 [size =\"39494656\"]\n  17 -> 19 [size =\"39494656\"]\n  18 [size=\"46548480\", alpha=\"0.05\", expect_size=\"18619392\"] \n  18 -> 20 [size =\"18619392\"]\n  18 -> 21 [size =\"18619392\"]\n  19 [size=\"49912320\", alpha=\"0.12\", expect_size=\"19964928\"] \n  19 -> 20 [size =\"19964928\"]\n  19 -> 21 [size =\"19964928\"]\n  20 [size=\"54983680\", alpha=\"0.09\", expect_size=\"21993472\"] \n  20 -> 22 [size =\"21993472\"]\n  20 -> 23 [size =\"21993472\"]\n  20 -> 24 [size =\"21993472\"]\n  21 [size=\"38039040\", alpha=\"0.19\", expect_size=\"15215616\"] \n  21 -> 24 [size =\"15215616\"]\n  22 [size=\"94968320\", alpha=\"0.11\", expect_size=\"37987328\"] \n  22 -> 25 [size =\"37987328\"]\n  22 -> 26 [size =\"37987328\"]\n  22 -> 27 [size =\"37987328\"]\n  23 [size=\"49144320\", alpha=\"0.18\", expect_size=\"19657728\"] \n  23 -> 25 [size =\"19657728\"]\n  23 -> 26 [size =\"19657728\"]\n  23 -> 27 [size =\"19657728\"]\n  24 [size=\"21383680\", alpha=\"0.07\", expect_size=\"8553472\"] \n  24 -> 25 [size =\"8553472\"]\n  25 [size=\"110999040\", alpha=\"0.18\", expect_size=\"44399616\"] \n  25 -> 28 [size =\"44399616\"]\n  25 -> 29 [size =\"44399616\"]\n  26 [size=\"86361600\", alpha=\"0.15\", expect_size=\"34544640\"] \n  26 -> 28 [size =\"34544640\"]\n  26 -> 29 [size =\"34544640\"]\n  27 [size=\"123120640\", alpha=\"0.05\", expect_size=\"49248256\"] \n  27 -> 28 [size =\"49248256\"]\n  27 -> 29 [size =\"49248256\"]\n  28 [size=\"79941120\", alpha=\"0.17\", expect_size=\"31976448\"] \n  28 -> 30 [size =\"31976448\"]\n  28 -> 31 [size =\"31976448\"]\n  29 [size=\"106485760\", alpha=\"0.12\", expect_size=\"42594304\"] \n  29 -> 30 [size =\"42594304\"]\n  29 -> 31 [size =\"42594304\"]\n  30 [size=\"60339200\", alpha=\"0.12\", expect_size=\"24135680\"] \n  30 -> 32 [size =\"24135680\"]\n  31 [size=\"113303040\", alpha=\"0.14\", expect_size=\"45321216\"] \n  31 -> 32 [size =\"45321216\"]\n  31 -> 33 [size =\"45321216\"]\n  32 [size=\"108894720\", alpha=\"0.02\", expect_size=\"43557888\"] \n  32 -> 34 [size =\"43557888\"]\n  32 -> 35 [size =\"43557888\"]\n  33 [size=\"58147840\", alpha=\"0.03\", expect_size=\"23259136\"] \n  33 -> 34 [size =\"23259136\"]\n  33 -> 35 [size =\"23259136\"]\n  34 [size=\"44979200\", alpha=\"0.07\", expect_size=\"17991680\"] \n  34 -> 36 [size =\"17991680\"]\n  34 -> 37 [size =\"17991680\"]\n  34 -> 38 [size =\"17991680\"]\n  35 [size=\"83968000\", alpha=\"0.09\", expect_size=\"33587200\"] \n  35 -> 36 [size =\"33587200\"]\n  35 -> 37 [size =\"33587200\"]\n  35 -> 38 [size =\"33587200\"]\n  36 [size=\"71377920\", alpha=\"0.13\", expect_size=\"28551168\"] \n  37 [size=\"39680000\", alpha=\"0.12\", expect_size=\"15872000\"] \n  37 -> 39 [size =\"15872000\"]\n  37 -> 40 [size =\"15872000\"]\n  38 [size=\"68505600\", alpha=\"0.16\", expect_size=\"27402240\"] \n  38 -> 40 [size =\"27402240\"]\n  39 [size=\"50245120\", alpha=\"0.07\", expect_size=\"20098048\"] \n  40 [size=\"119301120\", alpha=\"0.04\", expect_size=\"47720448\"] \n  40 -> 41 [size =\"47720448\"]\n  40 -> 42 [size =\"47720448\"]\n  41 [size=\"70594560\", alpha=\"0.06\", expect_size=\"28237824\"] \n  41 -> 43 [size =\"28237824\"]\n  41 -> 44 [size =\"28237824\"]\n  42 [size=\"37309440\", alpha=\"0.02\", expect_size=\"14923776\"] \n  42 -> 43 [size =\"14923776\"]\n  42 -> 44 [size =\"14923776\"]\n  43 [size=\"46231040\", alpha=\"0.03\", expect_size=\"18492416\"] \n  43 -> 45 [size =\"18492416\"]\n  43 -> 46 [size =\"18492416\"]\n  43 -> 47 [size =\"18492416\"]\n  44 [size=\"63011840\", alpha=\"0.07\", expect_size=\"25204736\"] \n  44 -> 45 [size =\"25204736\"]\n  44 -> 46 [size =\"25204736\"]\n  44 -> 47 [size =\"25204736\"]\n  45 [size=\"106997760\", alpha=\"0.06\", expect_size=\"42799104\"] \n  45 -> 48 [size =\"42799104\"]\n  45 -> 49 [size =\"42799104\"]\n  45 -> 50 [size =\"42799104\"]\n  46 [size=\"44728320\", alpha=\"0.19\", expect_size=\"17891328\"] \n  46 -> 48 [size =\"17891328\"]\n  46 -> 49 [size =\"17891328\"]\n  47 [size=\"124160000\", alpha=\"0.09\", expect_size=\"49664000\"] \n  47 -> 49 [size =\"49664000\"]\n  47 -> 50 [size =\"49664000\"]\n  48 [size=\"77022720\", alpha=\"0.12\", expect_size=\"30809088\"] \n  49 [size=\"54727680\", alpha=\"0.10\", expect_size=\"21891072\"] \n  50 [size=\"94082560\", alpha=\"0.16\", expect_size=\"37633024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.175.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83496960\", alpha=\"0.20\", expect_size=\"33398784\"] \n  1 -> 16 [size =\"33398784\"]\n  1 -> 17 [size =\"33398784\"]\n  1 -> 20 [size =\"33398784\"]\n  1 -> 22 [size =\"33398784\"]\n  1 -> 22 [size =\"33398784\"]\n  2 [size=\"73443840\", alpha=\"0.19\", expect_size=\"29377536\"] \n  2 -> 16 [size =\"29377536\"]\n  2 -> 17 [size =\"29377536\"]\n  2 -> 18 [size =\"29377536\"]\n  2 -> 20 [size =\"29377536\"]\n  3 [size=\"41118720\", alpha=\"0.02\", expect_size=\"16447488\"] \n  3 -> 17 [size =\"16447488\"]\n  3 -> 20 [size =\"16447488\"]\n  3 -> 21 [size =\"16447488\"]\n  3 -> 22 [size =\"16447488\"]\n  4 [size=\"76334080\", alpha=\"0.18\", expect_size=\"30533632\"] \n  4 -> 17 [size =\"30533632\"]\n  4 -> 18 [size =\"30533632\"]\n  4 -> 20 [size =\"30533632\"]\n  4 -> 21 [size =\"30533632\"]\n  4 -> 22 [size =\"30533632\"]\n  4 -> 23 [size =\"30533632\"]\n  5 [size=\"31065600\", alpha=\"0.13\", expect_size=\"12426240\"] \n  5 -> 18 [size =\"12426240\"]\n  5 -> 21 [size =\"12426240\"]\n  5 -> 22 [size =\"12426240\"]\n  5 -> 23 [size =\"12426240\"]\n  6 [size=\"73779200\", alpha=\"0.11\", expect_size=\"29511680\"] \n  6 -> 17 [size =\"29511680\"]\n  6 -> 18 [size =\"29511680\"]\n  6 -> 19 [size =\"29511680\"]\n  6 -> 21 [size =\"29511680\"]\n  6 -> 22 [size =\"29511680\"]\n  6 -> 23 [size =\"29511680\"]\n  7 [size=\"53555200\", alpha=\"0.12\", expect_size=\"21422080\"] \n  7 -> 17 [size =\"21422080\"]\n  7 -> 20 [size =\"21422080\"]\n  7 -> 22 [size =\"21422080\"]\n  7 -> 23 [size =\"21422080\"]\n  8 [size=\"60833280\", alpha=\"0.07\", expect_size=\"24333312\"] \n  8 -> 17 [size =\"24333312\"]\n  8 -> 19 [size =\"24333312\"]\n  8 -> 20 [size =\"24333312\"]\n  8 -> 21 [size =\"24333312\"]\n  8 -> 22 [size =\"24333312\"]\n  8 -> 23 [size =\"24333312\"]\n  9 [size=\"82344960\", alpha=\"0.18\", expect_size=\"32937984\"] \n  9 -> 17 [size =\"32937984\"]\n  9 -> 20 [size =\"32937984\"]\n  9 -> 20 [size =\"32937984\"]\n  10 [size=\"91392000\", alpha=\"0.02\", expect_size=\"36556800\"] \n  10 -> 20 [size =\"36556800\"]\n  10 -> 23 [size =\"36556800\"]\n  11 [size=\"79331840\", alpha=\"0.16\", expect_size=\"31732736\"] \n  11 -> 16 [size =\"31732736\"]\n  11 -> 17 [size =\"31732736\"]\n  11 -> 19 [size =\"31732736\"]\n  11 -> 20 [size =\"31732736\"]\n  11 -> 22 [size =\"31732736\"]\n  11 -> 23 [size =\"31732736\"]\n  12 [size=\"77232640\", alpha=\"0.05\", expect_size=\"30893056\"] \n  12 -> 16 [size =\"30893056\"]\n  12 -> 17 [size =\"30893056\"]\n  12 -> 18 [size =\"30893056\"]\n  12 -> 19 [size =\"30893056\"]\n  12 -> 20 [size =\"30893056\"]\n  12 -> 22 [size =\"30893056\"]\n  13 [size=\"71823360\", alpha=\"0.07\", expect_size=\"28729344\"] \n  13 -> 16 [size =\"28729344\"]\n  13 -> 17 [size =\"28729344\"]\n  13 -> 18 [size =\"28729344\"]\n  13 -> 20 [size =\"28729344\"]\n  13 -> 22 [size =\"28729344\"]\n  14 [size=\"80832000\", alpha=\"0.11\", expect_size=\"32332800\"] \n  14 -> 17 [size =\"32332800\"]\n  14 -> 18 [size =\"32332800\"]\n  14 -> 20 [size =\"32332800\"]\n  14 -> 22 [size =\"32332800\"]\n  14 -> 23 [size =\"32332800\"]\n  15 [size=\"66667520\", alpha=\"0.18\", expect_size=\"26667008\"] \n  15 -> 16 [size =\"26667008\"]\n  15 -> 17 [size =\"26667008\"]\n  15 -> 18 [size =\"26667008\"]\n  15 -> 20 [size =\"26667008\"]\n  15 -> 22 [size =\"26667008\"]\n  16 [size=\"24158720\", alpha=\"0.13\", expect_size=\"9663488\"] \n  16 -> 24 [size =\"9663488\"]\n  16 -> 27 [size =\"9663488\"]\n  16 -> 29 [size =\"9663488\"]\n  16 -> 30 [size =\"9663488\"]\n  16 -> 32 [size =\"9663488\"]\n  16 -> 33 [size =\"9663488\"]\n  16 -> 34 [size =\"9663488\"]\n  16 -> 38 [size =\"9663488\"]\n  17 [size=\"87252480\", alpha=\"0.05\", expect_size=\"34900992\"] \n  17 -> 25 [size =\"34900992\"]\n  17 -> 30 [size =\"34900992\"]\n  17 -> 32 [size =\"34900992\"]\n  17 -> 33 [size =\"34900992\"]\n  17 -> 34 [size =\"34900992\"]\n  17 -> 37 [size =\"34900992\"]\n  18 [size=\"39009280\", alpha=\"0.07\", expect_size=\"15603712\"] \n  18 -> 24 [size =\"15603712\"]\n  18 -> 27 [size =\"15603712\"]\n  18 -> 28 [size =\"15603712\"]\n  18 -> 31 [size =\"15603712\"]\n  18 -> 32 [size =\"15603712\"]\n  18 -> 33 [size =\"15603712\"]\n  18 -> 34 [size =\"15603712\"]\n  18 -> 35 [size =\"15603712\"]\n  18 -> 37 [size =\"15603712\"]\n  18 -> 38 [size =\"15603712\"]\n  19 [size=\"79362560\", alpha=\"0.14\", expect_size=\"31745024\"] \n  19 -> 32 [size =\"31745024\"]\n  19 -> 33 [size =\"31745024\"]\n  19 -> 34 [size =\"31745024\"]\n  19 -> 35 [size =\"31745024\"]\n  19 -> 37 [size =\"31745024\"]\n  19 -> 38 [size =\"31745024\"]\n  20 [size=\"67712000\", alpha=\"0.13\", expect_size=\"27084800\"] \n  20 -> 29 [size =\"27084800\"]\n  20 -> 30 [size =\"27084800\"]\n  20 -> 31 [size =\"27084800\"]\n  20 -> 33 [size =\"27084800\"]\n  20 -> 34 [size =\"27084800\"]\n  20 -> 35 [size =\"27084800\"]\n  20 -> 36 [size =\"27084800\"]\n  20 -> 37 [size =\"27084800\"]\n  21 [size=\"76956160\", alpha=\"0.04\", expect_size=\"30782464\"] \n  21 -> 24 [size =\"30782464\"]\n  21 -> 25 [size =\"30782464\"]\n  21 -> 26 [size =\"30782464\"]\n  21 -> 30 [size =\"30782464\"]\n  21 -> 33 [size =\"30782464\"]\n  21 -> 34 [size =\"30782464\"]\n  21 -> 36 [size =\"30782464\"]\n  21 -> 37 [size =\"30782464\"]\n  21 -> 38 [size =\"30782464\"]\n  22 [size=\"52180480\", alpha=\"0.06\", expect_size=\"20872192\"] \n  22 -> 24 [size =\"20872192\"]\n  22 -> 26 [size =\"20872192\"]\n  22 -> 30 [size =\"20872192\"]\n  22 -> 34 [size =\"20872192\"]\n  22 -> 36 [size =\"20872192\"]\n  22 -> 37 [size =\"20872192\"]\n  22 -> 39 [size =\"20872192\"]\n  23 [size=\"83061760\", alpha=\"0.12\", expect_size=\"33224704\"] \n  23 -> 24 [size =\"33224704\"]\n  23 -> 28 [size =\"33224704\"]\n  23 -> 29 [size =\"33224704\"]\n  23 -> 32 [size =\"33224704\"]\n  23 -> 33 [size =\"33224704\"]\n  23 -> 35 [size =\"33224704\"]\n  23 -> 36 [size =\"33224704\"]\n  23 -> 37 [size =\"33224704\"]\n  23 -> 38 [size =\"33224704\"]\n  24 [size=\"122432000\", alpha=\"0.08\", expect_size=\"48972800\"] \n  24 -> 41 [size =\"48972800\"]\n  24 -> 41 [size =\"48972800\"]\n  24 -> 42 [size =\"48972800\"]\n  24 -> 43 [size =\"48972800\"]\n  24 -> 45 [size =\"48972800\"]\n  24 -> 46 [size =\"48972800\"]\n  24 -> 49 [size =\"48972800\"]\n  25 [size=\"68940800\", alpha=\"0.08\", expect_size=\"27576320\"] \n  25 -> 41 [size =\"27576320\"]\n  25 -> 42 [size =\"27576320\"]\n  25 -> 43 [size =\"27576320\"]\n  25 -> 45 [size =\"27576320\"]\n  25 -> 45 [size =\"27576320\"]\n  25 -> 46 [size =\"27576320\"]\n  25 -> 49 [size =\"27576320\"]\n  26 [size=\"55992320\", alpha=\"0.19\", expect_size=\"22396928\"] \n  26 -> 41 [size =\"22396928\"]\n  26 -> 45 [size =\"22396928\"]\n  26 -> 46 [size =\"22396928\"]\n  26 -> 47 [size =\"22396928\"]\n  26 -> 48 [size =\"22396928\"]\n  26 -> 49 [size =\"22396928\"]\n  27 [size=\"17456640\", alpha=\"0.16\", expect_size=\"6982656\"] \n  27 -> 43 [size =\"6982656\"]\n  27 -> 45 [size =\"6982656\"]\n  27 -> 46 [size =\"6982656\"]\n  27 -> 48 [size =\"6982656\"]\n  27 -> 48 [size =\"6982656\"]\n  27 -> 49 [size =\"6982656\"]\n  28 [size=\"44285440\", alpha=\"0.01\", expect_size=\"17714176\"] \n  28 -> 46 [size =\"17714176\"]\n  28 -> 48 [size =\"17714176\"]\n  29 [size=\"83389440\", alpha=\"0.18\", expect_size=\"33355776\"] \n  29 -> 43 [size =\"33355776\"]\n  29 -> 45 [size =\"33355776\"]\n  29 -> 46 [size =\"33355776\"]\n  30 [size=\"46704640\", alpha=\"0.08\", expect_size=\"18681856\"] \n  30 -> 43 [size =\"18681856\"]\n  30 -> 45 [size =\"18681856\"]\n  30 -> 46 [size =\"18681856\"]\n  31 [size=\"123315200\", alpha=\"0.09\", expect_size=\"49326080\"] \n  31 -> 41 [size =\"49326080\"]\n  31 -> 42 [size =\"49326080\"]\n  31 -> 43 [size =\"49326080\"]\n  31 -> 45 [size =\"49326080\"]\n  31 -> 47 [size =\"49326080\"]\n  32 [size=\"29708800\", alpha=\"0.01\", expect_size=\"11883520\"] \n  32 -> 42 [size =\"11883520\"]\n  32 -> 46 [size =\"11883520\"]\n  32 -> 48 [size =\"11883520\"]\n  32 -> 49 [size =\"11883520\"]\n  33 [size=\"62156800\", alpha=\"0.03\", expect_size=\"24862720\"] \n  33 -> 42 [size =\"24862720\"]\n  33 -> 43 [size =\"24862720\"]\n  33 -> 46 [size =\"24862720\"]\n  33 -> 47 [size =\"24862720\"]\n  34 [size=\"130705920\", alpha=\"0.17\", expect_size=\"52282368\"] \n  34 -> 41 [size =\"52282368\"]\n  34 -> 42 [size =\"52282368\"]\n  34 -> 44 [size =\"52282368\"]\n  34 -> 45 [size =\"52282368\"]\n  34 -> 47 [size =\"52282368\"]\n  34 -> 49 [size =\"52282368\"]\n  35 [size=\"62658560\", alpha=\"0.20\", expect_size=\"25063424\"] \n  35 -> 41 [size =\"25063424\"]\n  35 -> 42 [size =\"25063424\"]\n  35 -> 43 [size =\"25063424\"]\n  35 -> 45 [size =\"25063424\"]\n  35 -> 46 [size =\"25063424\"]\n  35 -> 49 [size =\"25063424\"]\n  36 [size=\"111897600\", alpha=\"0.05\", expect_size=\"44759040\"] \n  36 -> 41 [size =\"44759040\"]\n  36 -> 42 [size =\"44759040\"]\n  36 -> 43 [size =\"44759040\"]\n  36 -> 45 [size =\"44759040\"]\n  36 -> 46 [size =\"44759040\"]\n  36 -> 47 [size =\"44759040\"]\n  36 -> 48 [size =\"44759040\"]\n  36 -> 49 [size =\"44759040\"]\n  37 [size=\"103170560\", alpha=\"0.02\", expect_size=\"41268224\"] \n  37 -> 41 [size =\"41268224\"]\n  37 -> 42 [size =\"41268224\"]\n  37 -> 43 [size =\"41268224\"]\n  37 -> 46 [size =\"41268224\"]\n  37 -> 46 [size =\"41268224\"]\n  37 -> 47 [size =\"41268224\"]\n  37 -> 49 [size =\"41268224\"]\n  37 -> 49 [size =\"41268224\"]\n  38 [size=\"76928000\", alpha=\"0.03\", expect_size=\"30771200\"] \n  38 -> 41 [size =\"30771200\"]\n  38 -> 42 [size =\"30771200\"]\n  38 -> 43 [size =\"30771200\"]\n  38 -> 46 [size =\"30771200\"]\n  38 -> 49 [size =\"30771200\"]\n  39 [size=\"80896000\", alpha=\"0.16\", expect_size=\"32358400\"] \n  39 -> 40 [size =\"32358400\"]\n  39 -> 41 [size =\"32358400\"]\n  39 -> 42 [size =\"32358400\"]\n  39 -> 43 [size =\"32358400\"]\n  39 -> 45 [size =\"32358400\"]\n  39 -> 49 [size =\"32358400\"]\n  40 [size=\"66350080\", alpha=\"0.18\", expect_size=\"26540032\"] \n  41 [size=\"111575040\", alpha=\"0.11\", expect_size=\"44630016\"] \n  42 [size=\"46868480\", alpha=\"0.11\", expect_size=\"18747392\"] \n  43 [size=\"54323200\", alpha=\"0.02\", expect_size=\"21729280\"] \n  44 [size=\"74688000\", alpha=\"0.12\", expect_size=\"29875200\"] \n  45 [size=\"57728000\", alpha=\"0.11\", expect_size=\"23091200\"] \n  45 -> 50 [size =\"23091200\"]\n  46 [size=\"57003520\", alpha=\"0.18\", expect_size=\"22801408\"] \n  46 -> 50 [size =\"22801408\"]\n  47 [size=\"83568640\", alpha=\"0.05\", expect_size=\"33427456\"] \n  48 [size=\"93606400\", alpha=\"0.18\", expect_size=\"37442560\"] \n  49 [size=\"113016320\", alpha=\"0.03\", expect_size=\"45206528\"] \n  49 -> 50 [size =\"45206528\"]\n  50 [size=\"90091520\", alpha=\"0.13\", expect_size=\"36036608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.176.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125276160\", alpha=\"0.00\", expect_size=\"50110464\"] \n  1 -> 4 [size =\"50110464\"]\n  2 [size=\"79436800\", alpha=\"0.10\", expect_size=\"31774720\"] \n  2 -> 3 [size =\"31774720\"]\n  2 -> 4 [size =\"31774720\"]\n  3 [size=\"77102080\", alpha=\"0.02\", expect_size=\"30840832\"] \n  3 -> 5 [size =\"30840832\"]\n  3 -> 6 [size =\"30840832\"]\n  4 [size=\"110016000\", alpha=\"0.06\", expect_size=\"44006400\"] \n  4 -> 5 [size =\"44006400\"]\n  4 -> 6 [size =\"44006400\"]\n  5 [size=\"88901120\", alpha=\"0.07\", expect_size=\"35560448\"] \n  5 -> 8 [size =\"35560448\"]\n  5 -> 9 [size =\"35560448\"]\n  6 [size=\"22592000\", alpha=\"0.10\", expect_size=\"9036800\"] \n  6 -> 7 [size =\"9036800\"]\n  6 -> 8 [size =\"9036800\"]\n  7 [size=\"39825920\", alpha=\"0.11\", expect_size=\"15930368\"] \n  7 -> 10 [size =\"15930368\"]\n  7 -> 12 [size =\"15930368\"]\n  8 [size=\"25712640\", alpha=\"0.01\", expect_size=\"10285056\"] \n  8 -> 10 [size =\"10285056\"]\n  8 -> 11 [size =\"10285056\"]\n  8 -> 12 [size =\"10285056\"]\n  9 [size=\"42073600\", alpha=\"0.05\", expect_size=\"16829440\"] \n  9 -> 10 [size =\"16829440\"]\n  9 -> 12 [size =\"16829440\"]\n  10 [size=\"129116160\", alpha=\"0.08\", expect_size=\"51646464\"] \n  10 -> 14 [size =\"51646464\"]\n  11 [size=\"117378560\", alpha=\"0.10\", expect_size=\"46951424\"] \n  11 -> 13 [size =\"46951424\"]\n  11 -> 14 [size =\"46951424\"]\n  12 [size=\"120163840\", alpha=\"0.17\", expect_size=\"48065536\"] \n  12 -> 13 [size =\"48065536\"]\n  12 -> 14 [size =\"48065536\"]\n  13 [size=\"61987840\", alpha=\"0.11\", expect_size=\"24795136\"] \n  13 -> 15 [size =\"24795136\"]\n  13 -> 16 [size =\"24795136\"]\n  14 [size=\"74150400\", alpha=\"0.14\", expect_size=\"29660160\"] \n  14 -> 15 [size =\"29660160\"]\n  14 -> 16 [size =\"29660160\"]\n  15 [size=\"111083520\", alpha=\"0.12\", expect_size=\"44433408\"] \n  15 -> 17 [size =\"44433408\"]\n  15 -> 18 [size =\"44433408\"]\n  16 [size=\"34831360\", alpha=\"0.11\", expect_size=\"13932544\"] \n  16 -> 18 [size =\"13932544\"]\n  17 [size=\"91287040\", alpha=\"0.00\", expect_size=\"36514816\"] \n  17 -> 19 [size =\"36514816\"]\n  17 -> 20 [size =\"36514816\"]\n  18 [size=\"37355520\", alpha=\"0.13\", expect_size=\"14942208\"] \n  18 -> 19 [size =\"14942208\"]\n  18 -> 20 [size =\"14942208\"]\n  19 [size=\"45089280\", alpha=\"0.11\", expect_size=\"18035712\"] \n  19 -> 21 [size =\"18035712\"]\n  19 -> 22 [size =\"18035712\"]\n  20 [size=\"74647040\", alpha=\"0.08\", expect_size=\"29858816\"] \n  20 -> 21 [size =\"29858816\"]\n  20 -> 22 [size =\"29858816\"]\n  21 [size=\"123573760\", alpha=\"0.04\", expect_size=\"49429504\"] \n  21 -> 23 [size =\"49429504\"]\n  21 -> 24 [size =\"49429504\"]\n  22 [size=\"65313280\", alpha=\"0.12\", expect_size=\"26125312\"] \n  22 -> 23 [size =\"26125312\"]\n  22 -> 24 [size =\"26125312\"]\n  23 [size=\"46195200\", alpha=\"0.10\", expect_size=\"18478080\"] \n  23 -> 25 [size =\"18478080\"]\n  23 -> 26 [size =\"18478080\"]\n  24 [size=\"112494080\", alpha=\"0.05\", expect_size=\"44997632\"] \n  24 -> 25 [size =\"44997632\"]\n  25 [size=\"76065280\", alpha=\"0.12\", expect_size=\"30426112\"] \n  25 -> 27 [size =\"30426112\"]\n  25 -> 29 [size =\"30426112\"]\n  26 [size=\"27584000\", alpha=\"0.01\", expect_size=\"11033600\"] \n  26 -> 27 [size =\"11033600\"]\n  26 -> 28 [size =\"11033600\"]\n  26 -> 29 [size =\"11033600\"]\n  27 [size=\"93954560\", alpha=\"0.15\", expect_size=\"37581824\"] \n  27 -> 30 [size =\"37581824\"]\n  27 -> 31 [size =\"37581824\"]\n  28 [size=\"95582720\", alpha=\"0.11\", expect_size=\"38233088\"] \n  28 -> 30 [size =\"38233088\"]\n  28 -> 31 [size =\"38233088\"]\n  29 [size=\"54341120\", alpha=\"0.12\", expect_size=\"21736448\"] \n  29 -> 30 [size =\"21736448\"]\n  29 -> 31 [size =\"21736448\"]\n  30 [size=\"117683200\", alpha=\"0.12\", expect_size=\"47073280\"] \n  30 -> 32 [size =\"47073280\"]\n  30 -> 33 [size =\"47073280\"]\n  30 -> 34 [size =\"47073280\"]\n  31 [size=\"46351360\", alpha=\"0.10\", expect_size=\"18540544\"] \n  31 -> 32 [size =\"18540544\"]\n  31 -> 33 [size =\"18540544\"]\n  31 -> 34 [size =\"18540544\"]\n  32 [size=\"70479360\", alpha=\"0.06\", expect_size=\"28191744\"] \n  32 -> 35 [size =\"28191744\"]\n  32 -> 36 [size =\"28191744\"]\n  33 [size=\"20469760\", alpha=\"0.11\", expect_size=\"8187904\"] \n  33 -> 35 [size =\"8187904\"]\n  33 -> 36 [size =\"8187904\"]\n  34 [size=\"78282240\", alpha=\"0.06\", expect_size=\"31312896\"] \n  34 -> 35 [size =\"31312896\"]\n  34 -> 36 [size =\"31312896\"]\n  35 [size=\"104896000\", alpha=\"0.17\", expect_size=\"41958400\"] \n  35 -> 37 [size =\"41958400\"]\n  35 -> 38 [size =\"41958400\"]\n  36 [size=\"58142720\", alpha=\"0.12\", expect_size=\"23257088\"] \n  36 -> 37 [size =\"23257088\"]\n  37 [size=\"65474560\", alpha=\"0.01\", expect_size=\"26189824\"] \n  37 -> 39 [size =\"26189824\"]\n  37 -> 40 [size =\"26189824\"]\n  38 [size=\"35648000\", alpha=\"0.13\", expect_size=\"14259200\"] \n  38 -> 39 [size =\"14259200\"]\n  38 -> 40 [size =\"14259200\"]\n  39 [size=\"99233280\", alpha=\"0.11\", expect_size=\"39693312\"] \n  39 -> 41 [size =\"39693312\"]\n  39 -> 42 [size =\"39693312\"]\n  40 [size=\"49269760\", alpha=\"0.20\", expect_size=\"19707904\"] \n  40 -> 41 [size =\"19707904\"]\n  40 -> 42 [size =\"19707904\"]\n  40 -> 43 [size =\"19707904\"]\n  41 [size=\"119731200\", alpha=\"0.07\", expect_size=\"47892480\"] \n  41 -> 44 [size =\"47892480\"]\n  41 -> 46 [size =\"47892480\"]\n  42 [size=\"60997120\", alpha=\"0.03\", expect_size=\"24398848\"] \n  42 -> 44 [size =\"24398848\"]\n  42 -> 45 [size =\"24398848\"]\n  42 -> 46 [size =\"24398848\"]\n  43 [size=\"98091520\", alpha=\"0.04\", expect_size=\"39236608\"] \n  43 -> 44 [size =\"39236608\"]\n  44 [size=\"43960320\", alpha=\"0.03\", expect_size=\"17584128\"] \n  44 -> 47 [size =\"17584128\"]\n  45 [size=\"77619200\", alpha=\"0.12\", expect_size=\"31047680\"] \n  46 [size=\"61114880\", alpha=\"0.04\", expect_size=\"24445952\"] \n  46 -> 48 [size =\"24445952\"]\n  47 [size=\"16174080\", alpha=\"0.09\", expect_size=\"6469632\"] \n  47 -> 49 [size =\"6469632\"]\n  47 -> 50 [size =\"6469632\"]\n  48 [size=\"20976640\", alpha=\"0.08\", expect_size=\"8390656\"] \n  48 -> 49 [size =\"8390656\"]\n  48 -> 50 [size =\"8390656\"]\n  49 [size=\"99773440\", alpha=\"0.14\", expect_size=\"39909376\"] \n  50 [size=\"48619520\", alpha=\"0.18\", expect_size=\"19447808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.177.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38373376\", alpha=\"0.17\", expect_size=\"19186688\"] \n  1 -> 3 [size =\"19186688\"]\n  2 [size=\"87652352\", alpha=\"0.00\", expect_size=\"43826176\"] \n  2 -> 4 [size =\"43826176\"]\n  2 -> 5 [size =\"43826176\"]\n  3 [size=\"32409600\", alpha=\"0.04\", expect_size=\"16204800\"] \n  3 -> 7 [size =\"16204800\"]\n  4 [size=\"88725504\", alpha=\"0.14\", expect_size=\"44362752\"] \n  4 -> 6 [size =\"44362752\"]\n  5 [size=\"62937088\", alpha=\"0.03\", expect_size=\"31468544\"] \n  6 [size=\"75327488\", alpha=\"0.16\", expect_size=\"37663744\"] \n  6 -> 8 [size =\"37663744\"]\n  7 [size=\"43173888\", alpha=\"0.12\", expect_size=\"21586944\"] \n  7 -> 9 [size =\"21586944\"]\n  8 [size=\"42094592\", alpha=\"0.06\", expect_size=\"21047296\"] \n  9 [size=\"21278720\", alpha=\"0.07\", expect_size=\"10639360\"] \n  9 -> 10 [size =\"10639360\"]\n  10 [size=\"30875648\", alpha=\"0.19\", expect_size=\"15437824\"] \n  10 -> 11 [size =\"15437824\"]\n  10 -> 12 [size =\"15437824\"]\n  10 -> 13 [size =\"15437824\"]\n  10 -> 14 [size =\"15437824\"]\n  11 [size=\"57448448\", alpha=\"0.19\", expect_size=\"28724224\"] \n  11 -> 15 [size =\"28724224\"]\n  12 [size=\"42330112\", alpha=\"0.08\", expect_size=\"21165056\"] \n  12 -> 16 [size =\"21165056\"]\n  12 -> 17 [size =\"21165056\"]\n  13 [size=\"42405888\", alpha=\"0.15\", expect_size=\"21202944\"] \n  13 -> 15 [size =\"21202944\"]\n  13 -> 16 [size =\"21202944\"]\n  14 [size=\"61597696\", alpha=\"0.02\", expect_size=\"30798848\"] \n  15 [size=\"32737280\", alpha=\"0.14\", expect_size=\"16368640\"] \n  15 -> 18 [size =\"16368640\"]\n  15 -> 19 [size =\"16368640\"]\n  16 [size=\"46845952\", alpha=\"0.06\", expect_size=\"23422976\"] \n  16 -> 20 [size =\"23422976\"]\n  17 [size=\"28196864\", alpha=\"0.12\", expect_size=\"14098432\"] \n  17 -> 18 [size =\"14098432\"]\n  17 -> 19 [size =\"14098432\"]\n  18 [size=\"85712896\", alpha=\"0.06\", expect_size=\"42856448\"] \n  18 -> 21 [size =\"42856448\"]\n  19 [size=\"18001920\", alpha=\"0.00\", expect_size=\"9000960\"] \n  19 -> 22 [size =\"9000960\"]\n  19 -> 23 [size =\"9000960\"]\n  20 [size=\"49020928\", alpha=\"0.18\", expect_size=\"24510464\"] \n  21 [size=\"43276288\", alpha=\"0.02\", expect_size=\"21638144\"] \n  21 -> 24 [size =\"21638144\"]\n  21 -> 25 [size =\"21638144\"]\n  22 [size=\"36837376\", alpha=\"0.03\", expect_size=\"18418688\"] \n  23 [size=\"74145792\", alpha=\"0.08\", expect_size=\"37072896\"] \n  23 -> 24 [size =\"37072896\"]\n  23 -> 25 [size =\"37072896\"]\n  23 -> 26 [size =\"37072896\"]\n  24 [size=\"52480000\", alpha=\"0.09\", expect_size=\"26240000\"] \n  24 -> 28 [size =\"26240000\"]\n  25 [size=\"59914240\", alpha=\"0.02\", expect_size=\"29957120\"] \n  25 -> 27 [size =\"29957120\"]\n  25 -> 28 [size =\"29957120\"]\n  26 [size=\"31361024\", alpha=\"0.08\", expect_size=\"15680512\"] \n  26 -> 29 [size =\"15680512\"]\n  26 -> 30 [size =\"15680512\"]\n  27 [size=\"58966016\", alpha=\"0.02\", expect_size=\"29483008\"] \n  27 -> 31 [size =\"29483008\"]\n  28 [size=\"22796288\", alpha=\"0.02\", expect_size=\"11398144\"] \n  28 -> 32 [size =\"11398144\"]\n  29 [size=\"53082112\", alpha=\"0.04\", expect_size=\"26541056\"] \n  29 -> 32 [size =\"26541056\"]\n  30 [size=\"55115776\", alpha=\"0.11\", expect_size=\"27557888\"] \n  30 -> 31 [size =\"27557888\"]\n  31 [size=\"47984640\", alpha=\"0.07\", expect_size=\"23992320\"] \n  31 -> 33 [size =\"23992320\"]\n  31 -> 35 [size =\"23992320\"]\n  32 [size=\"59580416\", alpha=\"0.11\", expect_size=\"29790208\"] \n  32 -> 34 [size =\"29790208\"]\n  33 [size=\"72695808\", alpha=\"0.01\", expect_size=\"36347904\"] \n  33 -> 36 [size =\"36347904\"]\n  33 -> 37 [size =\"36347904\"]\n  34 [size=\"14884864\", alpha=\"0.02\", expect_size=\"7442432\"] \n  34 -> 36 [size =\"7442432\"]\n  34 -> 37 [size =\"7442432\"]\n  34 -> 38 [size =\"7442432\"]\n  35 [size=\"58759168\", alpha=\"0.07\", expect_size=\"29379584\"] \n  36 [size=\"68028416\", alpha=\"0.01\", expect_size=\"34014208\"] \n  37 [size=\"13164544\", alpha=\"0.18\", expect_size=\"6582272\"] \n  37 -> 39 [size =\"6582272\"]\n  37 -> 40 [size =\"6582272\"]\n  37 -> 41 [size =\"6582272\"]\n  37 -> 42 [size =\"6582272\"]\n  38 [size=\"21227520\", alpha=\"0.11\", expect_size=\"10613760\"] \n  39 [size=\"29458432\", alpha=\"0.06\", expect_size=\"14729216\"] \n  40 [size=\"48650240\", alpha=\"0.08\", expect_size=\"24325120\"] \n  41 [size=\"99192832\", alpha=\"0.18\", expect_size=\"49596416\"] \n  41 -> 43 [size =\"49596416\"]\n  42 [size=\"39307264\", alpha=\"0.14\", expect_size=\"19653632\"] \n  43 [size=\"89585664\", alpha=\"0.02\", expect_size=\"44792832\"] \n  43 -> 44 [size =\"44792832\"]\n  44 [size=\"93202432\", alpha=\"0.00\", expect_size=\"46601216\"] \n  44 -> 45 [size =\"46601216\"]\n  44 -> 46 [size =\"46601216\"]\n  45 [size=\"101273600\", alpha=\"0.08\", expect_size=\"50636800\"] \n  45 -> 49 [size =\"50636800\"]\n  46 [size=\"41678848\", alpha=\"0.01\", expect_size=\"20839424\"] \n  46 -> 47 [size =\"20839424\"]\n  46 -> 48 [size =\"20839424\"]\n  47 [size=\"45152256\", alpha=\"0.04\", expect_size=\"22576128\"] \n  48 [size=\"35031040\", alpha=\"0.09\", expect_size=\"17515520\"] \n  48 -> 50 [size =\"17515520\"]\n  49 [size=\"86546432\", alpha=\"0.04\", expect_size=\"43273216\"] \n  50 [size=\"18470912\", alpha=\"0.08\", expect_size=\"9235456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.178.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171922773\", alpha=\"0.14\", expect_size=\"51576832\"] \n  1 -> 7 [size =\"51576832\"]\n  1 -> 8 [size =\"51576832\"]\n  2 [size=\"93371733\", alpha=\"0.10\", expect_size=\"28011520\"] \n  2 -> 8 [size =\"28011520\"]\n  2 -> 9 [size =\"28011520\"]\n  3 [size=\"92030293\", alpha=\"0.05\", expect_size=\"27609088\"] \n  3 -> 10 [size =\"27609088\"]\n  3 -> 12 [size =\"27609088\"]\n  4 [size=\"97307307\", alpha=\"0.19\", expect_size=\"29192192\"] \n  4 -> 7 [size =\"29192192\"]\n  4 -> 8 [size =\"29192192\"]\n  4 -> 10 [size =\"29192192\"]\n  5 [size=\"114104320\", alpha=\"0.02\", expect_size=\"34231296\"] \n  5 -> 11 [size =\"34231296\"]\n  6 [size=\"165188267\", alpha=\"0.03\", expect_size=\"49556480\"] \n  6 -> 7 [size =\"49556480\"]\n  6 -> 10 [size =\"49556480\"]\n  6 -> 11 [size =\"49556480\"]\n  7 [size=\"62501547\", alpha=\"0.20\", expect_size=\"18750464\"] \n  7 -> 13 [size =\"18750464\"]\n  7 -> 14 [size =\"18750464\"]\n  7 -> 17 [size =\"18750464\"]\n  7 -> 18 [size =\"18750464\"]\n  8 [size=\"106352640\", alpha=\"0.01\", expect_size=\"31905792\"] \n  8 -> 13 [size =\"31905792\"]\n  8 -> 15 [size =\"31905792\"]\n  9 [size=\"172571307\", alpha=\"0.01\", expect_size=\"51771392\"] \n  9 -> 15 [size =\"51771392\"]\n  9 -> 18 [size =\"51771392\"]\n  10 [size=\"160692907\", alpha=\"0.06\", expect_size=\"48207872\"] \n  10 -> 13 [size =\"48207872\"]\n  10 -> 15 [size =\"48207872\"]\n  10 -> 16 [size =\"48207872\"]\n  11 [size=\"136758613\", alpha=\"0.16\", expect_size=\"41027584\"] \n  11 -> 16 [size =\"41027584\"]\n  11 -> 17 [size =\"41027584\"]\n  12 [size=\"91607040\", alpha=\"0.14\", expect_size=\"27482112\"] \n  12 -> 14 [size =\"27482112\"]\n  12 -> 16 [size =\"27482112\"]\n  12 -> 18 [size =\"27482112\"]\n  13 [size=\"168751787\", alpha=\"0.13\", expect_size=\"50625536\"] \n  13 -> 21 [size =\"50625536\"]\n  13 -> 22 [size =\"50625536\"]\n  13 -> 24 [size =\"50625536\"]\n  14 [size=\"49783467\", alpha=\"0.16\", expect_size=\"14935040\"] \n  14 -> 19 [size =\"14935040\"]\n  14 -> 23 [size =\"14935040\"]\n  15 [size=\"42752000\", alpha=\"0.01\", expect_size=\"12825600\"] \n  15 -> 23 [size =\"12825600\"]\n  16 [size=\"54954667\", alpha=\"0.10\", expect_size=\"16486400\"] \n  16 -> 20 [size =\"16486400\"]\n  16 -> 24 [size =\"16486400\"]\n  17 [size=\"82087253\", alpha=\"0.08\", expect_size=\"24626176\"] \n  17 -> 21 [size =\"24626176\"]\n  17 -> 23 [size =\"24626176\"]\n  18 [size=\"79063040\", alpha=\"0.11\", expect_size=\"23718912\"] \n  18 -> 24 [size =\"23718912\"]\n  19 [size=\"84978347\", alpha=\"0.15\", expect_size=\"25493504\"] \n  19 -> 25 [size =\"25493504\"]\n  19 -> 28 [size =\"25493504\"]\n  19 -> 29 [size =\"25493504\"]\n  19 -> 30 [size =\"25493504\"]\n  20 [size=\"91494400\", alpha=\"0.07\", expect_size=\"27448320\"] \n  20 -> 28 [size =\"27448320\"]\n  21 [size=\"138042027\", alpha=\"0.18\", expect_size=\"41412608\"] \n  21 -> 29 [size =\"41412608\"]\n  22 [size=\"108066133\", alpha=\"0.19\", expect_size=\"32419840\"] \n  22 -> 26 [size =\"32419840\"]\n  23 [size=\"60767573\", alpha=\"0.10\", expect_size=\"18230272\"] \n  23 -> 27 [size =\"18230272\"]\n  23 -> 29 [size =\"18230272\"]\n  24 [size=\"166502400\", alpha=\"0.11\", expect_size=\"49950720\"] \n  24 -> 25 [size =\"49950720\"]\n  25 [size=\"132983467\", alpha=\"0.04\", expect_size=\"39895040\"] \n  25 -> 32 [size =\"39895040\"]\n  25 -> 35 [size =\"39895040\"]\n  26 [size=\"139806720\", alpha=\"0.16\", expect_size=\"41942016\"] \n  26 -> 31 [size =\"41942016\"]\n  26 -> 33 [size =\"41942016\"]\n  26 -> 35 [size =\"41942016\"]\n  27 [size=\"63655253\", alpha=\"0.13\", expect_size=\"19096576\"] \n  27 -> 33 [size =\"19096576\"]\n  27 -> 36 [size =\"19096576\"]\n  27 -> 37 [size =\"19096576\"]\n  28 [size=\"129675947\", alpha=\"0.02\", expect_size=\"38902784\"] \n  28 -> 31 [size =\"38902784\"]\n  28 -> 36 [size =\"38902784\"]\n  29 [size=\"56401920\", alpha=\"0.11\", expect_size=\"16920576\"] \n  29 -> 34 [size =\"16920576\"]\n  29 -> 36 [size =\"16920576\"]\n  30 [size=\"174001493\", alpha=\"0.18\", expect_size=\"52200448\"] \n  30 -> 32 [size =\"52200448\"]\n  30 -> 34 [size =\"52200448\"]\n  31 [size=\"70290773\", alpha=\"0.20\", expect_size=\"21087232\"] \n  31 -> 38 [size =\"21087232\"]\n  31 -> 39 [size =\"21087232\"]\n  31 -> 40 [size =\"21087232\"]\n  31 -> 41 [size =\"21087232\"]\n  31 -> 43 [size =\"21087232\"]\n  32 [size=\"57002667\", alpha=\"0.11\", expect_size=\"17100800\"] \n  32 -> 39 [size =\"17100800\"]\n  32 -> 42 [size =\"17100800\"]\n  33 [size=\"52753067\", alpha=\"0.02\", expect_size=\"15825920\"] \n  33 -> 41 [size =\"15825920\"]\n  33 -> 42 [size =\"15825920\"]\n  34 [size=\"132092587\", alpha=\"0.16\", expect_size=\"39627776\"] \n  34 -> 43 [size =\"39627776\"]\n  35 [size=\"60289707\", alpha=\"0.14\", expect_size=\"18086912\"] \n  35 -> 42 [size =\"18086912\"]\n  36 [size=\"91252053\", alpha=\"0.17\", expect_size=\"27375616\"] \n  36 -> 41 [size =\"27375616\"]\n  36 -> 42 [size =\"27375616\"]\n  37 [size=\"58129067\", alpha=\"0.08\", expect_size=\"17438720\"] \n  37 -> 38 [size =\"17438720\"]\n  37 -> 39 [size =\"17438720\"]\n  37 -> 43 [size =\"17438720\"]\n  38 [size=\"163225600\", alpha=\"0.07\", expect_size=\"48967680\"] \n  38 -> 46 [size =\"48967680\"]\n  39 [size=\"23569067\", alpha=\"0.14\", expect_size=\"7070720\"] \n  39 -> 45 [size =\"7070720\"]\n  39 -> 49 [size =\"7070720\"]\n  40 [size=\"108823893\", alpha=\"0.11\", expect_size=\"32647168\"] \n  40 -> 44 [size =\"32647168\"]\n  40 -> 47 [size =\"32647168\"]\n  40 -> 48 [size =\"32647168\"]\n  41 [size=\"90350933\", alpha=\"0.03\", expect_size=\"27105280\"] \n  41 -> 46 [size =\"27105280\"]\n  41 -> 48 [size =\"27105280\"]\n  41 -> 48 [size =\"27105280\"]\n  41 -> 49 [size =\"27105280\"]\n  42 [size=\"87432533\", alpha=\"0.07\", expect_size=\"26229760\"] \n  42 -> 46 [size =\"26229760\"]\n  43 [size=\"174199467\", alpha=\"0.16\", expect_size=\"52259840\"] \n  44 [size=\"30074880\", alpha=\"0.04\", expect_size=\"9022464\"] \n  44 -> 50 [size =\"9022464\"]\n  45 [size=\"159221760\", alpha=\"0.07\", expect_size=\"47766528\"] \n  46 [size=\"115063467\", alpha=\"0.05\", expect_size=\"34519040\"] \n  46 -> 50 [size =\"34519040\"]\n  47 [size=\"92364800\", alpha=\"0.09\", expect_size=\"27709440\"] \n  48 [size=\"155740160\", alpha=\"0.08\", expect_size=\"46722048\"] \n  49 [size=\"52203520\", alpha=\"0.11\", expect_size=\"15661056\"] \n  49 -> 50 [size =\"15661056\"]\n  50 [size=\"163829760\", alpha=\"0.14\", expect_size=\"49148928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.179.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143749120\", alpha=\"0.09\", expect_size=\"43124736\"] \n  1 -> 18 [size =\"43124736\"]\n  1 -> 19 [size =\"43124736\"]\n  1 -> 21 [size =\"43124736\"]\n  1 -> 23 [size =\"43124736\"]\n  1 -> 25 [size =\"43124736\"]\n  1 -> 26 [size =\"43124736\"]\n  1 -> 28 [size =\"43124736\"]\n  1 -> 29 [size =\"43124736\"]\n  2 [size=\"38847147\", alpha=\"0.15\", expect_size=\"11654144\"] \n  2 -> 16 [size =\"11654144\"]\n  2 -> 17 [size =\"11654144\"]\n  2 -> 23 [size =\"11654144\"]\n  2 -> 24 [size =\"11654144\"]\n  2 -> 25 [size =\"11654144\"]\n  2 -> 26 [size =\"11654144\"]\n  3 [size=\"102007467\", alpha=\"0.04\", expect_size=\"30602240\"] \n  3 -> 17 [size =\"30602240\"]\n  3 -> 18 [size =\"30602240\"]\n  3 -> 20 [size =\"30602240\"]\n  3 -> 24 [size =\"30602240\"]\n  3 -> 25 [size =\"30602240\"]\n  3 -> 27 [size =\"30602240\"]\n  3 -> 29 [size =\"30602240\"]\n  4 [size=\"23767040\", alpha=\"0.17\", expect_size=\"7130112\"] \n  4 -> 16 [size =\"7130112\"]\n  4 -> 24 [size =\"7130112\"]\n  4 -> 25 [size =\"7130112\"]\n  5 [size=\"97952427\", alpha=\"0.12\", expect_size=\"29385728\"] \n  5 -> 16 [size =\"29385728\"]\n  5 -> 19 [size =\"29385728\"]\n  5 -> 23 [size =\"29385728\"]\n  5 -> 25 [size =\"29385728\"]\n  5 -> 27 [size =\"29385728\"]\n  6 [size=\"110759253\", alpha=\"0.00\", expect_size=\"33227776\"] \n  6 -> 16 [size =\"33227776\"]\n  6 -> 17 [size =\"33227776\"]\n  6 -> 18 [size =\"33227776\"]\n  6 -> 21 [size =\"33227776\"]\n  6 -> 24 [size =\"33227776\"]\n  6 -> 25 [size =\"33227776\"]\n  6 -> 26 [size =\"33227776\"]\n  7 [size=\"73581227\", alpha=\"0.12\", expect_size=\"22074368\"] \n  7 -> 16 [size =\"22074368\"]\n  7 -> 20 [size =\"22074368\"]\n  7 -> 21 [size =\"22074368\"]\n  7 -> 25 [size =\"22074368\"]\n  8 [size=\"159177387\", alpha=\"0.17\", expect_size=\"47753216\"] \n  8 -> 16 [size =\"47753216\"]\n  8 -> 25 [size =\"47753216\"]\n  8 -> 26 [size =\"47753216\"]\n  9 [size=\"44305067\", alpha=\"0.08\", expect_size=\"13291520\"] \n  9 -> 16 [size =\"13291520\"]\n  9 -> 18 [size =\"13291520\"]\n  9 -> 25 [size =\"13291520\"]\n  10 [size=\"167611733\", alpha=\"0.15\", expect_size=\"50283520\"] \n  10 -> 21 [size =\"50283520\"]\n  10 -> 22 [size =\"50283520\"]\n  10 -> 23 [size =\"50283520\"]\n  10 -> 24 [size =\"50283520\"]\n  10 -> 25 [size =\"50283520\"]\n  10 -> 26 [size =\"50283520\"]\n  10 -> 27 [size =\"50283520\"]\n  11 [size=\"19380907\", alpha=\"0.06\", expect_size=\"5814272\"] \n  11 -> 17 [size =\"5814272\"]\n  11 -> 21 [size =\"5814272\"]\n  11 -> 23 [size =\"5814272\"]\n  11 -> 26 [size =\"5814272\"]\n  11 -> 28 [size =\"5814272\"]\n  12 [size=\"91794773\", alpha=\"0.02\", expect_size=\"27538432\"] \n  12 -> 16 [size =\"27538432\"]\n  12 -> 18 [size =\"27538432\"]\n  12 -> 21 [size =\"27538432\"]\n  12 -> 23 [size =\"27538432\"]\n  12 -> 28 [size =\"27538432\"]\n  13 [size=\"49902933\", alpha=\"0.16\", expect_size=\"14970880\"] \n  13 -> 16 [size =\"14970880\"]\n  13 -> 20 [size =\"14970880\"]\n  13 -> 23 [size =\"14970880\"]\n  13 -> 24 [size =\"14970880\"]\n  13 -> 26 [size =\"14970880\"]\n  13 -> 28 [size =\"14970880\"]\n  14 [size=\"78827520\", alpha=\"0.15\", expect_size=\"23648256\"] \n  14 -> 16 [size =\"23648256\"]\n  14 -> 17 [size =\"23648256\"]\n  14 -> 19 [size =\"23648256\"]\n  14 -> 21 [size =\"23648256\"]\n  14 -> 23 [size =\"23648256\"]\n  14 -> 24 [size =\"23648256\"]\n  14 -> 25 [size =\"23648256\"]\n  14 -> 26 [size =\"23648256\"]\n  14 -> 28 [size =\"23648256\"]\n  15 [size=\"55241387\", alpha=\"0.05\", expect_size=\"16572416\"] \n  15 -> 18 [size =\"16572416\"]\n  15 -> 19 [size =\"16572416\"]\n  15 -> 20 [size =\"16572416\"]\n  15 -> 21 [size =\"16572416\"]\n  15 -> 25 [size =\"16572416\"]\n  15 -> 26 [size =\"16572416\"]\n  15 -> 28 [size =\"16572416\"]\n  16 [size=\"147114667\", alpha=\"0.09\", expect_size=\"44134400\"] \n  16 -> 31 [size =\"44134400\"]\n  16 -> 32 [size =\"44134400\"]\n  16 -> 36 [size =\"44134400\"]\n  16 -> 37 [size =\"44134400\"]\n  16 -> 38 [size =\"44134400\"]\n  16 -> 42 [size =\"44134400\"]\n  17 [size=\"150831787\", alpha=\"0.13\", expect_size=\"45249536\"] \n  17 -> 31 [size =\"45249536\"]\n  17 -> 33 [size =\"45249536\"]\n  17 -> 36 [size =\"45249536\"]\n  17 -> 37 [size =\"45249536\"]\n  17 -> 38 [size =\"45249536\"]\n  17 -> 39 [size =\"45249536\"]\n  17 -> 41 [size =\"45249536\"]\n  17 -> 42 [size =\"45249536\"]\n  17 -> 43 [size =\"45249536\"]\n  18 [size=\"91702613\", alpha=\"0.18\", expect_size=\"27510784\"] \n  18 -> 33 [size =\"27510784\"]\n  18 -> 33 [size =\"27510784\"]\n  18 -> 35 [size =\"27510784\"]\n  18 -> 37 [size =\"27510784\"]\n  18 -> 39 [size =\"27510784\"]\n  18 -> 43 [size =\"27510784\"]\n  19 [size=\"70997333\", alpha=\"0.07\", expect_size=\"21299200\"] \n  19 -> 31 [size =\"21299200\"]\n  19 -> 33 [size =\"21299200\"]\n  19 -> 35 [size =\"21299200\"]\n  19 -> 38 [size =\"21299200\"]\n  19 -> 39 [size =\"21299200\"]\n  19 -> 41 [size =\"21299200\"]\n  19 -> 42 [size =\"21299200\"]\n  19 -> 43 [size =\"21299200\"]\n  20 [size=\"135150933\", alpha=\"0.01\", expect_size=\"40545280\"] \n  20 -> 30 [size =\"40545280\"]\n  20 -> 37 [size =\"40545280\"]\n  20 -> 38 [size =\"40545280\"]\n  20 -> 39 [size =\"40545280\"]\n  20 -> 41 [size =\"40545280\"]\n  20 -> 43 [size =\"40545280\"]\n  21 [size=\"93583360\", alpha=\"0.11\", expect_size=\"28075008\"] \n  21 -> 30 [size =\"28075008\"]\n  21 -> 32 [size =\"28075008\"]\n  21 -> 36 [size =\"28075008\"]\n  21 -> 39 [size =\"28075008\"]\n  21 -> 41 [size =\"28075008\"]\n  22 [size=\"144104107\", alpha=\"0.04\", expect_size=\"43231232\"] \n  22 -> 32 [size =\"43231232\"]\n  22 -> 37 [size =\"43231232\"]\n  22 -> 39 [size =\"43231232\"]\n  22 -> 39 [size =\"43231232\"]\n  22 -> 41 [size =\"43231232\"]\n  22 -> 42 [size =\"43231232\"]\n  23 [size=\"157255680\", alpha=\"0.07\", expect_size=\"47176704\"] \n  23 -> 30 [size =\"47176704\"]\n  23 -> 37 [size =\"47176704\"]\n  23 -> 38 [size =\"47176704\"]\n  23 -> 39 [size =\"47176704\"]\n  23 -> 40 [size =\"47176704\"]\n  23 -> 42 [size =\"47176704\"]\n  24 [size=\"122627413\", alpha=\"0.12\", expect_size=\"36788224\"] \n  24 -> 33 [size =\"36788224\"]\n  24 -> 35 [size =\"36788224\"]\n  24 -> 36 [size =\"36788224\"]\n  24 -> 37 [size =\"36788224\"]\n  24 -> 38 [size =\"36788224\"]\n  24 -> 39 [size =\"36788224\"]\n  24 -> 42 [size =\"36788224\"]\n  25 [size=\"82056533\", alpha=\"0.07\", expect_size=\"24616960\"] \n  25 -> 35 [size =\"24616960\"]\n  25 -> 36 [size =\"24616960\"]\n  25 -> 37 [size =\"24616960\"]\n  25 -> 38 [size =\"24616960\"]\n  25 -> 41 [size =\"24616960\"]\n  25 -> 42 [size =\"24616960\"]\n  26 [size=\"125235200\", alpha=\"0.13\", expect_size=\"37570560\"] \n  26 -> 30 [size =\"37570560\"]\n  26 -> 36 [size =\"37570560\"]\n  26 -> 37 [size =\"37570560\"]\n  26 -> 38 [size =\"37570560\"]\n  26 -> 39 [size =\"37570560\"]\n  27 [size=\"37454507\", alpha=\"0.07\", expect_size=\"11236352\"] \n  27 -> 30 [size =\"11236352\"]\n  27 -> 34 [size =\"11236352\"]\n  27 -> 35 [size =\"11236352\"]\n  27 -> 36 [size =\"11236352\"]\n  27 -> 37 [size =\"11236352\"]\n  27 -> 39 [size =\"11236352\"]\n  27 -> 43 [size =\"11236352\"]\n  28 [size=\"135987200\", alpha=\"0.18\", expect_size=\"40796160\"] \n  28 -> 30 [size =\"40796160\"]\n  28 -> 37 [size =\"40796160\"]\n  28 -> 38 [size =\"40796160\"]\n  28 -> 40 [size =\"40796160\"]\n  28 -> 41 [size =\"40796160\"]\n  29 [size=\"123429547\", alpha=\"0.14\", expect_size=\"37028864\"] \n  29 -> 36 [size =\"37028864\"]\n  29 -> 37 [size =\"37028864\"]\n  29 -> 38 [size =\"37028864\"]\n  29 -> 39 [size =\"37028864\"]\n  29 -> 43 [size =\"37028864\"]\n  30 [size=\"18408107\", alpha=\"0.08\", expect_size=\"5522432\"] \n  30 -> 46 [size =\"5522432\"]\n  30 -> 48 [size =\"5522432\"]\n  31 [size=\"24378027\", alpha=\"0.02\", expect_size=\"7313408\"] \n  31 -> 45 [size =\"7313408\"]\n  31 -> 46 [size =\"7313408\"]\n  32 [size=\"110322347\", alpha=\"0.06\", expect_size=\"33096704\"] \n  32 -> 45 [size =\"33096704\"]\n  32 -> 46 [size =\"33096704\"]\n  32 -> 49 [size =\"33096704\"]\n  32 -> 50 [size =\"33096704\"]\n  33 [size=\"140328960\", alpha=\"0.14\", expect_size=\"42098688\"] \n  33 -> 45 [size =\"42098688\"]\n  33 -> 46 [size =\"42098688\"]\n  33 -> 47 [size =\"42098688\"]\n  33 -> 48 [size =\"42098688\"]\n  33 -> 49 [size =\"42098688\"]\n  33 -> 50 [size =\"42098688\"]\n  34 [size=\"41649493\", alpha=\"0.10\", expect_size=\"12494848\"] \n  34 -> 44 [size =\"12494848\"]\n  34 -> 46 [size =\"12494848\"]\n  35 [size=\"135147520\", alpha=\"0.10\", expect_size=\"40544256\"] \n  35 -> 44 [size =\"40544256\"]\n  35 -> 45 [size =\"40544256\"]\n  35 -> 46 [size =\"40544256\"]\n  35 -> 49 [size =\"40544256\"]\n  35 -> 50 [size =\"40544256\"]\n  36 [size=\"29440000\", alpha=\"0.08\", expect_size=\"8832000\"] \n  36 -> 44 [size =\"8832000\"]\n  36 -> 45 [size =\"8832000\"]\n  36 -> 46 [size =\"8832000\"]\n  36 -> 48 [size =\"8832000\"]\n  36 -> 49 [size =\"8832000\"]\n  36 -> 50 [size =\"8832000\"]\n  37 [size=\"132382720\", alpha=\"0.02\", expect_size=\"39714816\"] \n  37 -> 45 [size =\"39714816\"]\n  37 -> 45 [size =\"39714816\"]\n  37 -> 46 [size =\"39714816\"]\n  37 -> 49 [size =\"39714816\"]\n  37 -> 50 [size =\"39714816\"]\n  38 [size=\"28231680\", alpha=\"0.05\", expect_size=\"8469504\"] \n  38 -> 49 [size =\"8469504\"]\n  38 -> 50 [size =\"8469504\"]\n  39 [size=\"173250560\", alpha=\"0.15\", expect_size=\"51975168\"] \n  39 -> 46 [size =\"51975168\"]\n  40 [size=\"122415787\", alpha=\"0.01\", expect_size=\"36724736\"] \n  40 -> 45 [size =\"36724736\"]\n  40 -> 46 [size =\"36724736\"]\n  40 -> 48 [size =\"36724736\"]\n  41 [size=\"25866240\", alpha=\"0.16\", expect_size=\"7759872\"] \n  41 -> 45 [size =\"7759872\"]\n  41 -> 46 [size =\"7759872\"]\n  41 -> 48 [size =\"7759872\"]\n  41 -> 49 [size =\"7759872\"]\n  41 -> 50 [size =\"7759872\"]\n  42 [size=\"42789547\", alpha=\"0.07\", expect_size=\"12836864\"] \n  42 -> 45 [size =\"12836864\"]\n  42 -> 46 [size =\"12836864\"]\n  42 -> 47 [size =\"12836864\"]\n  43 [size=\"90221227\", alpha=\"0.15\", expect_size=\"27066368\"] \n  43 -> 45 [size =\"27066368\"]\n  43 -> 46 [size =\"27066368\"]\n  43 -> 48 [size =\"27066368\"]\n  44 [size=\"43304960\", alpha=\"0.18\", expect_size=\"12991488\"] \n  45 [size=\"120678400\", alpha=\"0.08\", expect_size=\"36203520\"] \n  46 [size=\"45533867\", alpha=\"0.12\", expect_size=\"13660160\"] \n  47 [size=\"104796160\", alpha=\"0.19\", expect_size=\"31438848\"] \n  48 [size=\"117251413\", alpha=\"0.00\", expect_size=\"35175424\"] \n  49 [size=\"157129387\", alpha=\"0.16\", expect_size=\"47138816\"] \n  50 [size=\"120671573\", alpha=\"0.11\", expect_size=\"36201472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18664107\", alpha=\"0.05\", expect_size=\"5599232\"] \n  1 -> 2 [size =\"5599232\"]\n  2 [size=\"82769920\", alpha=\"0.14\", expect_size=\"24830976\"] \n  2 -> 3 [size =\"24830976\"]\n  3 [size=\"174049280\", alpha=\"0.08\", expect_size=\"52214784\"] \n  3 -> 4 [size =\"52214784\"]\n  4 [size=\"23258453\", alpha=\"0.00\", expect_size=\"6977536\"] \n  4 -> 5 [size =\"6977536\"]\n  5 [size=\"156590080\", alpha=\"0.02\", expect_size=\"46977024\"] \n  5 -> 6 [size =\"46977024\"]\n  6 [size=\"135355733\", alpha=\"0.19\", expect_size=\"40606720\"] \n  6 -> 7 [size =\"40606720\"]\n  7 [size=\"54715733\", alpha=\"0.16\", expect_size=\"16414720\"] \n  7 -> 8 [size =\"16414720\"]\n  8 [size=\"85251413\", alpha=\"0.14\", expect_size=\"25575424\"] \n  8 -> 9 [size =\"25575424\"]\n  9 [size=\"154565973\", alpha=\"0.16\", expect_size=\"46369792\"] \n  9 -> 10 [size =\"46369792\"]\n  10 [size=\"137724587\", alpha=\"0.10\", expect_size=\"41317376\"] \n  10 -> 11 [size =\"41317376\"]\n  11 [size=\"82087253\", alpha=\"0.17\", expect_size=\"24626176\"] \n  11 -> 12 [size =\"24626176\"]\n  12 [size=\"120241493\", alpha=\"0.04\", expect_size=\"36072448\"] \n  12 -> 13 [size =\"36072448\"]\n  13 [size=\"69608107\", alpha=\"0.04\", expect_size=\"20882432\"] \n  13 -> 14 [size =\"20882432\"]\n  14 [size=\"136147627\", alpha=\"0.01\", expect_size=\"40844288\"] \n  14 -> 15 [size =\"40844288\"]\n  15 [size=\"139871573\", alpha=\"0.06\", expect_size=\"41961472\"] \n  15 -> 16 [size =\"41961472\"]\n  16 [size=\"153439573\", alpha=\"0.04\", expect_size=\"46031872\"] \n  16 -> 17 [size =\"46031872\"]\n  17 [size=\"147155627\", alpha=\"0.10\", expect_size=\"44146688\"] \n  17 -> 18 [size =\"44146688\"]\n  18 [size=\"116121600\", alpha=\"0.04\", expect_size=\"34836480\"] \n  18 -> 19 [size =\"34836480\"]\n  19 [size=\"70959787\", alpha=\"0.09\", expect_size=\"21287936\"] \n  19 -> 20 [size =\"21287936\"]\n  20 [size=\"39164587\", alpha=\"0.14\", expect_size=\"11749376\"] \n  20 -> 21 [size =\"11749376\"]\n  21 [size=\"119156053\", alpha=\"0.20\", expect_size=\"35746816\"] \n  21 -> 22 [size =\"35746816\"]\n  22 [size=\"94764373\", alpha=\"0.14\", expect_size=\"28429312\"] \n  22 -> 23 [size =\"28429312\"]\n  23 [size=\"129822720\", alpha=\"0.08\", expect_size=\"38946816\"] \n  23 -> 24 [size =\"38946816\"]\n  24 [size=\"159283200\", alpha=\"0.02\", expect_size=\"47784960\"] \n  24 -> 25 [size =\"47784960\"]\n  25 [size=\"163744427\", alpha=\"0.15\", expect_size=\"49123328\"] \n  25 -> 26 [size =\"49123328\"]\n  26 [size=\"51520853\", alpha=\"0.02\", expect_size=\"15456256\"] \n  26 -> 27 [size =\"15456256\"]\n  27 [size=\"83148800\", alpha=\"0.14\", expect_size=\"24944640\"] \n  27 -> 28 [size =\"24944640\"]\n  28 [size=\"164969813\", alpha=\"0.15\", expect_size=\"49490944\"] \n  28 -> 29 [size =\"49490944\"]\n  29 [size=\"38795947\", alpha=\"0.13\", expect_size=\"11638784\"] \n  29 -> 30 [size =\"11638784\"]\n  30 [size=\"107670187\", alpha=\"0.06\", expect_size=\"32301056\"] \n  30 -> 31 [size =\"32301056\"]\n  31 [size=\"62764373\", alpha=\"0.08\", expect_size=\"18829312\"] \n  31 -> 32 [size =\"18829312\"]\n  32 [size=\"62559573\", alpha=\"0.03\", expect_size=\"18767872\"] \n  32 -> 33 [size =\"18767872\"]\n  33 [size=\"172346027\", alpha=\"0.04\", expect_size=\"51703808\"] \n  33 -> 34 [size =\"51703808\"]\n  34 [size=\"76844373\", alpha=\"0.00\", expect_size=\"23053312\"] \n  34 -> 35 [size =\"23053312\"]\n  35 [size=\"96406187\", alpha=\"0.12\", expect_size=\"28921856\"] \n  35 -> 36 [size =\"28921856\"]\n  36 [size=\"55579307\", alpha=\"0.01\", expect_size=\"16673792\"] \n  36 -> 37 [size =\"16673792\"]\n  37 [size=\"72236373\", alpha=\"0.07\", expect_size=\"21670912\"] \n  37 -> 38 [size =\"21670912\"]\n  38 [size=\"26337280\", alpha=\"0.05\", expect_size=\"7901184\"] \n  38 -> 39 [size =\"7901184\"]\n  39 [size=\"142940160\", alpha=\"0.11\", expect_size=\"42882048\"] \n  39 -> 40 [size =\"42882048\"]\n  40 [size=\"87278933\", alpha=\"0.18\", expect_size=\"26183680\"] \n  40 -> 41 [size =\"26183680\"]\n  41 [size=\"136888320\", alpha=\"0.19\", expect_size=\"41066496\"] \n  41 -> 42 [size =\"41066496\"]\n  42 [size=\"41809920\", alpha=\"0.10\", expect_size=\"12542976\"] \n  42 -> 43 [size =\"12542976\"]\n  43 [size=\"62095360\", alpha=\"0.15\", expect_size=\"18628608\"] \n  43 -> 44 [size =\"18628608\"]\n  44 [size=\"92590080\", alpha=\"0.18\", expect_size=\"27777024\"] \n  44 -> 45 [size =\"27777024\"]\n  45 [size=\"94682453\", alpha=\"0.19\", expect_size=\"28404736\"] \n  45 -> 46 [size =\"28404736\"]\n  46 [size=\"33481387\", alpha=\"0.05\", expect_size=\"10044416\"] \n  46 -> 47 [size =\"10044416\"]\n  47 [size=\"44957013\", alpha=\"0.19\", expect_size=\"13487104\"] \n  47 -> 48 [size =\"13487104\"]\n  48 [size=\"101498880\", alpha=\"0.12\", expect_size=\"30449664\"] \n  48 -> 49 [size =\"30449664\"]\n  49 [size=\"144469333\", alpha=\"0.08\", expect_size=\"43340800\"] \n  49 -> 50 [size =\"43340800\"]\n  50 [size=\"70068907\", alpha=\"0.15\", expect_size=\"21020672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.180.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26575360\", alpha=\"0.11\", expect_size=\"10630144\"] \n  1 -> 15 [size =\"10630144\"]\n  1 -> 19 [size =\"10630144\"]\n  1 -> 23 [size =\"10630144\"]\n  1 -> 23 [size =\"10630144\"]\n  1 -> 24 [size =\"10630144\"]\n  1 -> 25 [size =\"10630144\"]\n  1 -> 26 [size =\"10630144\"]\n  1 -> 27 [size =\"10630144\"]\n  1 -> 28 [size =\"10630144\"]\n  1 -> 29 [size =\"10630144\"]\n  2 [size=\"75855360\", alpha=\"0.20\", expect_size=\"30342144\"] \n  2 -> 15 [size =\"30342144\"]\n  2 -> 16 [size =\"30342144\"]\n  2 -> 17 [size =\"30342144\"]\n  2 -> 21 [size =\"30342144\"]\n  2 -> 22 [size =\"30342144\"]\n  2 -> 23 [size =\"30342144\"]\n  2 -> 24 [size =\"30342144\"]\n  2 -> 25 [size =\"30342144\"]\n  2 -> 26 [size =\"30342144\"]\n  2 -> 27 [size =\"30342144\"]\n  2 -> 29 [size =\"30342144\"]\n  3 [size=\"22407680\", alpha=\"0.18\", expect_size=\"8963072\"] \n  3 -> 15 [size =\"8963072\"]\n  3 -> 16 [size =\"8963072\"]\n  3 -> 17 [size =\"8963072\"]\n  3 -> 18 [size =\"8963072\"]\n  3 -> 19 [size =\"8963072\"]\n  3 -> 20 [size =\"8963072\"]\n  3 -> 22 [size =\"8963072\"]\n  3 -> 23 [size =\"8963072\"]\n  3 -> 24 [size =\"8963072\"]\n  3 -> 25 [size =\"8963072\"]\n  3 -> 26 [size =\"8963072\"]\n  3 -> 27 [size =\"8963072\"]\n  3 -> 29 [size =\"8963072\"]\n  4 [size=\"96944640\", alpha=\"0.15\", expect_size=\"38777856\"] \n  4 -> 15 [size =\"38777856\"]\n  4 -> 17 [size =\"38777856\"]\n  4 -> 19 [size =\"38777856\"]\n  4 -> 20 [size =\"38777856\"]\n  4 -> 21 [size =\"38777856\"]\n  4 -> 24 [size =\"38777856\"]\n  4 -> 26 [size =\"38777856\"]\n  4 -> 28 [size =\"38777856\"]\n  4 -> 29 [size =\"38777856\"]\n  5 [size=\"21916160\", alpha=\"0.14\", expect_size=\"8766464\"] \n  5 -> 15 [size =\"8766464\"]\n  5 -> 17 [size =\"8766464\"]\n  5 -> 19 [size =\"8766464\"]\n  5 -> 20 [size =\"8766464\"]\n  5 -> 21 [size =\"8766464\"]\n  5 -> 22 [size =\"8766464\"]\n  5 -> 23 [size =\"8766464\"]\n  5 -> 24 [size =\"8766464\"]\n  5 -> 26 [size =\"8766464\"]\n  5 -> 27 [size =\"8766464\"]\n  6 [size=\"24919040\", alpha=\"0.09\", expect_size=\"9967616\"] \n  6 -> 15 [size =\"9967616\"]\n  6 -> 19 [size =\"9967616\"]\n  6 -> 19 [size =\"9967616\"]\n  6 -> 21 [size =\"9967616\"]\n  6 -> 22 [size =\"9967616\"]\n  6 -> 24 [size =\"9967616\"]\n  6 -> 25 [size =\"9967616\"]\n  6 -> 26 [size =\"9967616\"]\n  6 -> 27 [size =\"9967616\"]\n  6 -> 29 [size =\"9967616\"]\n  7 [size=\"129960960\", alpha=\"0.17\", expect_size=\"51984384\"] \n  7 -> 15 [size =\"51984384\"]\n  7 -> 16 [size =\"51984384\"]\n  7 -> 23 [size =\"51984384\"]\n  7 -> 24 [size =\"51984384\"]\n  7 -> 25 [size =\"51984384\"]\n  7 -> 26 [size =\"51984384\"]\n  7 -> 29 [size =\"51984384\"]\n  8 [size=\"56614400\", alpha=\"0.20\", expect_size=\"22645760\"] \n  8 -> 15 [size =\"22645760\"]\n  8 -> 17 [size =\"22645760\"]\n  8 -> 20 [size =\"22645760\"]\n  8 -> 22 [size =\"22645760\"]\n  8 -> 25 [size =\"22645760\"]\n  8 -> 29 [size =\"22645760\"]\n  9 [size=\"129123840\", alpha=\"0.06\", expect_size=\"51649536\"] \n  9 -> 15 [size =\"51649536\"]\n  9 -> 17 [size =\"51649536\"]\n  9 -> 18 [size =\"51649536\"]\n  9 -> 19 [size =\"51649536\"]\n  9 -> 20 [size =\"51649536\"]\n  9 -> 25 [size =\"51649536\"]\n  9 -> 26 [size =\"51649536\"]\n  9 -> 28 [size =\"51649536\"]\n  9 -> 29 [size =\"51649536\"]\n  10 [size=\"54251520\", alpha=\"0.11\", expect_size=\"21700608\"] \n  10 -> 15 [size =\"21700608\"]\n  10 -> 17 [size =\"21700608\"]\n  10 -> 20 [size =\"21700608\"]\n  10 -> 23 [size =\"21700608\"]\n  10 -> 24 [size =\"21700608\"]\n  10 -> 25 [size =\"21700608\"]\n  10 -> 26 [size =\"21700608\"]\n  10 -> 27 [size =\"21700608\"]\n  10 -> 28 [size =\"21700608\"]\n  10 -> 29 [size =\"21700608\"]\n  11 [size=\"57226240\", alpha=\"0.06\", expect_size=\"22890496\"] \n  11 -> 15 [size =\"22890496\"]\n  11 -> 17 [size =\"22890496\"]\n  11 -> 19 [size =\"22890496\"]\n  11 -> 20 [size =\"22890496\"]\n  11 -> 22 [size =\"22890496\"]\n  11 -> 24 [size =\"22890496\"]\n  11 -> 25 [size =\"22890496\"]\n  11 -> 26 [size =\"22890496\"]\n  11 -> 28 [size =\"22890496\"]\n  11 -> 29 [size =\"22890496\"]\n  12 [size=\"122347520\", alpha=\"0.10\", expect_size=\"48939008\"] \n  12 -> 15 [size =\"48939008\"]\n  12 -> 17 [size =\"48939008\"]\n  12 -> 19 [size =\"48939008\"]\n  12 -> 22 [size =\"48939008\"]\n  12 -> 25 [size =\"48939008\"]\n  12 -> 26 [size =\"48939008\"]\n  12 -> 27 [size =\"48939008\"]\n  12 -> 28 [size =\"48939008\"]\n  12 -> 28 [size =\"48939008\"]\n  12 -> 29 [size =\"48939008\"]\n  13 [size=\"122094080\", alpha=\"0.03\", expect_size=\"48837632\"] \n  13 -> 17 [size =\"48837632\"]\n  13 -> 19 [size =\"48837632\"]\n  13 -> 19 [size =\"48837632\"]\n  13 -> 21 [size =\"48837632\"]\n  13 -> 25 [size =\"48837632\"]\n  13 -> 26 [size =\"48837632\"]\n  13 -> 29 [size =\"48837632\"]\n  14 [size=\"110284800\", alpha=\"0.03\", expect_size=\"44113920\"] \n  14 -> 15 [size =\"44113920\"]\n  14 -> 17 [size =\"44113920\"]\n  14 -> 19 [size =\"44113920\"]\n  14 -> 23 [size =\"44113920\"]\n  14 -> 25 [size =\"44113920\"]\n  14 -> 26 [size =\"44113920\"]\n  14 -> 28 [size =\"44113920\"]\n  14 -> 29 [size =\"44113920\"]\n  15 [size=\"80002560\", alpha=\"0.09\", expect_size=\"32001024\"] \n  15 -> 32 [size =\"32001024\"]\n  15 -> 32 [size =\"32001024\"]\n  15 -> 33 [size =\"32001024\"]\n  15 -> 34 [size =\"32001024\"]\n  15 -> 35 [size =\"32001024\"]\n  15 -> 38 [size =\"32001024\"]\n  15 -> 41 [size =\"32001024\"]\n  15 -> 42 [size =\"32001024\"]\n  15 -> 43 [size =\"32001024\"]\n  16 [size=\"42365440\", alpha=\"0.18\", expect_size=\"16946176\"] \n  16 -> 31 [size =\"16946176\"]\n  16 -> 33 [size =\"16946176\"]\n  16 -> 34 [size =\"16946176\"]\n  16 -> 34 [size =\"16946176\"]\n  16 -> 35 [size =\"16946176\"]\n  16 -> 36 [size =\"16946176\"]\n  16 -> 37 [size =\"16946176\"]\n  16 -> 38 [size =\"16946176\"]\n  16 -> 42 [size =\"16946176\"]\n  17 [size=\"96266240\", alpha=\"0.14\", expect_size=\"38506496\"] \n  17 -> 31 [size =\"38506496\"]\n  17 -> 34 [size =\"38506496\"]\n  17 -> 35 [size =\"38506496\"]\n  17 -> 36 [size =\"38506496\"]\n  17 -> 37 [size =\"38506496\"]\n  17 -> 38 [size =\"38506496\"]\n  17 -> 42 [size =\"38506496\"]\n  17 -> 43 [size =\"38506496\"]\n  18 [size=\"77096960\", alpha=\"0.13\", expect_size=\"30838784\"] \n  18 -> 35 [size =\"30838784\"]\n  18 -> 36 [size =\"30838784\"]\n  18 -> 38 [size =\"30838784\"]\n  18 -> 42 [size =\"30838784\"]\n  18 -> 43 [size =\"30838784\"]\n  19 [size=\"75251200\", alpha=\"0.11\", expect_size=\"30100480\"] \n  19 -> 30 [size =\"30100480\"]\n  19 -> 31 [size =\"30100480\"]\n  19 -> 33 [size =\"30100480\"]\n  19 -> 34 [size =\"30100480\"]\n  19 -> 35 [size =\"30100480\"]\n  19 -> 36 [size =\"30100480\"]\n  19 -> 38 [size =\"30100480\"]\n  19 -> 42 [size =\"30100480\"]\n  20 [size=\"109616640\", alpha=\"0.20\", expect_size=\"43846656\"] \n  20 -> 31 [size =\"43846656\"]\n  20 -> 32 [size =\"43846656\"]\n  20 -> 33 [size =\"43846656\"]\n  20 -> 34 [size =\"43846656\"]\n  20 -> 35 [size =\"43846656\"]\n  20 -> 38 [size =\"43846656\"]\n  20 -> 38 [size =\"43846656\"]\n  20 -> 42 [size =\"43846656\"]\n  21 [size=\"54653440\", alpha=\"0.11\", expect_size=\"21861376\"] \n  21 -> 33 [size =\"21861376\"]\n  21 -> 34 [size =\"21861376\"]\n  21 -> 37 [size =\"21861376\"]\n  21 -> 42 [size =\"21861376\"]\n  22 [size=\"88921600\", alpha=\"0.12\", expect_size=\"35568640\"] \n  22 -> 31 [size =\"35568640\"]\n  22 -> 32 [size =\"35568640\"]\n  22 -> 34 [size =\"35568640\"]\n  22 -> 36 [size =\"35568640\"]\n  22 -> 38 [size =\"35568640\"]\n  22 -> 40 [size =\"35568640\"]\n  22 -> 42 [size =\"35568640\"]\n  23 [size=\"27543040\", alpha=\"0.15\", expect_size=\"11017216\"] \n  23 -> 31 [size =\"11017216\"]\n  23 -> 32 [size =\"11017216\"]\n  23 -> 34 [size =\"11017216\"]\n  23 -> 37 [size =\"11017216\"]\n  23 -> 42 [size =\"11017216\"]\n  24 [size=\"48079360\", alpha=\"0.13\", expect_size=\"19231744\"] \n  24 -> 31 [size =\"19231744\"]\n  24 -> 32 [size =\"19231744\"]\n  24 -> 38 [size =\"19231744\"]\n  24 -> 39 [size =\"19231744\"]\n  24 -> 41 [size =\"19231744\"]\n  24 -> 42 [size =\"19231744\"]\n  24 -> 43 [size =\"19231744\"]\n  25 [size=\"62976000\", alpha=\"0.12\", expect_size=\"25190400\"] \n  25 -> 31 [size =\"25190400\"]\n  25 -> 32 [size =\"25190400\"]\n  25 -> 33 [size =\"25190400\"]\n  25 -> 35 [size =\"25190400\"]\n  25 -> 36 [size =\"25190400\"]\n  25 -> 38 [size =\"25190400\"]\n  25 -> 42 [size =\"25190400\"]\n  26 [size=\"118407680\", alpha=\"0.12\", expect_size=\"47363072\"] \n  26 -> 31 [size =\"47363072\"]\n  26 -> 32 [size =\"47363072\"]\n  26 -> 33 [size =\"47363072\"]\n  26 -> 34 [size =\"47363072\"]\n  26 -> 35 [size =\"47363072\"]\n  26 -> 36 [size =\"47363072\"]\n  26 -> 38 [size =\"47363072\"]\n  26 -> 42 [size =\"47363072\"]\n  26 -> 43 [size =\"47363072\"]\n  27 [size=\"103841280\", alpha=\"0.13\", expect_size=\"41536512\"] \n  27 -> 32 [size =\"41536512\"]\n  27 -> 32 [size =\"41536512\"]\n  27 -> 33 [size =\"41536512\"]\n  27 -> 34 [size =\"41536512\"]\n  27 -> 35 [size =\"41536512\"]\n  27 -> 37 [size =\"41536512\"]\n  28 [size=\"68600320\", alpha=\"0.01\", expect_size=\"27440128\"] \n  28 -> 32 [size =\"27440128\"]\n  28 -> 33 [size =\"27440128\"]\n  28 -> 33 [size =\"27440128\"]\n  28 -> 34 [size =\"27440128\"]\n  28 -> 35 [size =\"27440128\"]\n  28 -> 38 [size =\"27440128\"]\n  28 -> 43 [size =\"27440128\"]\n  29 [size=\"28083200\", alpha=\"0.09\", expect_size=\"11233280\"] \n  29 -> 31 [size =\"11233280\"]\n  29 -> 32 [size =\"11233280\"]\n  29 -> 33 [size =\"11233280\"]\n  29 -> 34 [size =\"11233280\"]\n  29 -> 35 [size =\"11233280\"]\n  29 -> 36 [size =\"11233280\"]\n  29 -> 37 [size =\"11233280\"]\n  29 -> 38 [size =\"11233280\"]\n  29 -> 41 [size =\"11233280\"]\n  29 -> 42 [size =\"11233280\"]\n  29 -> 43 [size =\"11233280\"]\n  30 [size=\"92848640\", alpha=\"0.04\", expect_size=\"37139456\"] \n  30 -> 46 [size =\"37139456\"]\n  30 -> 47 [size =\"37139456\"]\n  30 -> 47 [size =\"37139456\"]\n  31 [size=\"90731520\", alpha=\"0.06\", expect_size=\"36292608\"] \n  31 -> 44 [size =\"36292608\"]\n  31 -> 45 [size =\"36292608\"]\n  31 -> 48 [size =\"36292608\"]\n  32 [size=\"35194880\", alpha=\"0.07\", expect_size=\"14077952\"] \n  32 -> 44 [size =\"14077952\"]\n  32 -> 45 [size =\"14077952\"]\n  32 -> 48 [size =\"14077952\"]\n  33 [size=\"106959360\", alpha=\"0.06\", expect_size=\"42783744\"] \n  33 -> 46 [size =\"42783744\"]\n  33 -> 47 [size =\"42783744\"]\n  33 -> 48 [size =\"42783744\"]\n  33 -> 49 [size =\"42783744\"]\n  34 [size=\"79395840\", alpha=\"0.01\", expect_size=\"31758336\"] \n  34 -> 45 [size =\"31758336\"]\n  34 -> 46 [size =\"31758336\"]\n  34 -> 48 [size =\"31758336\"]\n  35 [size=\"36341760\", alpha=\"0.08\", expect_size=\"14536704\"] \n  35 -> 45 [size =\"14536704\"]\n  35 -> 47 [size =\"14536704\"]\n  35 -> 48 [size =\"14536704\"]\n  35 -> 49 [size =\"14536704\"]\n  35 -> 50 [size =\"14536704\"]\n  36 [size=\"104573440\", alpha=\"0.00\", expect_size=\"41829376\"] \n  36 -> 44 [size =\"41829376\"]\n  36 -> 47 [size =\"41829376\"]\n  36 -> 48 [size =\"41829376\"]\n  37 [size=\"59973120\", alpha=\"0.06\", expect_size=\"23989248\"] \n  37 -> 44 [size =\"23989248\"]\n  37 -> 46 [size =\"23989248\"]\n  37 -> 48 [size =\"23989248\"]\n  37 -> 49 [size =\"23989248\"]\n  38 [size=\"19397120\", alpha=\"0.03\", expect_size=\"7758848\"] \n  38 -> 44 [size =\"7758848\"]\n  38 -> 45 [size =\"7758848\"]\n  38 -> 46 [size =\"7758848\"]\n  38 -> 47 [size =\"7758848\"]\n  38 -> 48 [size =\"7758848\"]\n  38 -> 49 [size =\"7758848\"]\n  39 [size=\"26352640\", alpha=\"0.11\", expect_size=\"10541056\"] \n  39 -> 44 [size =\"10541056\"]\n  39 -> 45 [size =\"10541056\"]\n  39 -> 46 [size =\"10541056\"]\n  39 -> 47 [size =\"10541056\"]\n  39 -> 48 [size =\"10541056\"]\n  40 [size=\"78891520\", alpha=\"0.15\", expect_size=\"31556608\"] \n  40 -> 44 [size =\"31556608\"]\n  40 -> 45 [size =\"31556608\"]\n  40 -> 47 [size =\"31556608\"]\n  40 -> 48 [size =\"31556608\"]\n  40 -> 48 [size =\"31556608\"]\n  41 [size=\"100193280\", alpha=\"0.05\", expect_size=\"40077312\"] \n  41 -> 44 [size =\"40077312\"]\n  41 -> 45 [size =\"40077312\"]\n  41 -> 48 [size =\"40077312\"]\n  41 -> 48 [size =\"40077312\"]\n  42 [size=\"16417280\", alpha=\"0.09\", expect_size=\"6566912\"] \n  42 -> 46 [size =\"6566912\"]\n  42 -> 47 [size =\"6566912\"]\n  42 -> 49 [size =\"6566912\"]\n  43 [size=\"54763520\", alpha=\"0.15\", expect_size=\"21905408\"] \n  43 -> 45 [size =\"21905408\"]\n  43 -> 46 [size =\"21905408\"]\n  43 -> 47 [size =\"21905408\"]\n  43 -> 49 [size =\"21905408\"]\n  44 [size=\"88296960\", alpha=\"0.07\", expect_size=\"35318784\"] \n  45 [size=\"96225280\", alpha=\"0.08\", expect_size=\"38490112\"] \n  46 [size=\"27484160\", alpha=\"0.06\", expect_size=\"10993664\"] \n  47 [size=\"29296640\", alpha=\"0.00\", expect_size=\"11718656\"] \n  48 [size=\"66856960\", alpha=\"0.03\", expect_size=\"26742784\"] \n  49 [size=\"86192640\", alpha=\"0.09\", expect_size=\"34477056\"] \n  50 [size=\"31482880\", alpha=\"0.08\", expect_size=\"12593152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.181.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133614933\", alpha=\"0.07\", expect_size=\"40084480\"] \n  1 -> 2 [size =\"40084480\"]\n  2 [size=\"38116693\", alpha=\"0.03\", expect_size=\"11435008\"] \n  2 -> 3 [size =\"11435008\"]\n  3 [size=\"167666347\", alpha=\"0.20\", expect_size=\"50299904\"] \n  3 -> 4 [size =\"50299904\"]\n  4 [size=\"36222293\", alpha=\"0.10\", expect_size=\"10866688\"] \n  4 -> 5 [size =\"10866688\"]\n  5 [size=\"153511253\", alpha=\"0.18\", expect_size=\"46053376\"] \n  5 -> 6 [size =\"46053376\"]\n  6 [size=\"60760747\", alpha=\"0.19\", expect_size=\"18228224\"] \n  6 -> 7 [size =\"18228224\"]\n  7 [size=\"89600000\", alpha=\"0.16\", expect_size=\"26880000\"] \n  7 -> 8 [size =\"26880000\"]\n  8 [size=\"65887573\", alpha=\"0.13\", expect_size=\"19766272\"] \n  8 -> 9 [size =\"19766272\"]\n  9 [size=\"152398507\", alpha=\"0.09\", expect_size=\"45719552\"] \n  9 -> 10 [size =\"45719552\"]\n  10 [size=\"106847573\", alpha=\"0.13\", expect_size=\"32054272\"] \n  10 -> 11 [size =\"32054272\"]\n  11 [size=\"71464960\", alpha=\"0.07\", expect_size=\"21439488\"] \n  11 -> 12 [size =\"21439488\"]\n  12 [size=\"124456960\", alpha=\"0.12\", expect_size=\"37337088\"] \n  12 -> 13 [size =\"37337088\"]\n  13 [size=\"144773120\", alpha=\"0.15\", expect_size=\"43431936\"] \n  13 -> 14 [size =\"43431936\"]\n  14 [size=\"144581973\", alpha=\"0.18\", expect_size=\"43374592\"] \n  14 -> 15 [size =\"43374592\"]\n  15 [size=\"68273493\", alpha=\"0.08\", expect_size=\"20482048\"] \n  15 -> 16 [size =\"20482048\"]\n  16 [size=\"48906240\", alpha=\"0.06\", expect_size=\"14671872\"] \n  16 -> 17 [size =\"14671872\"]\n  17 [size=\"38597973\", alpha=\"0.13\", expect_size=\"11579392\"] \n  17 -> 18 [size =\"11579392\"]\n  18 [size=\"162720427\", alpha=\"0.01\", expect_size=\"48816128\"] \n  18 -> 19 [size =\"48816128\"]\n  19 [size=\"108977493\", alpha=\"0.08\", expect_size=\"32693248\"] \n  19 -> 20 [size =\"32693248\"]\n  20 [size=\"23797760\", alpha=\"0.00\", expect_size=\"7139328\"] \n  20 -> 21 [size =\"7139328\"]\n  21 [size=\"122166613\", alpha=\"0.07\", expect_size=\"36649984\"] \n  21 -> 22 [size =\"36649984\"]\n  22 [size=\"17950720\", alpha=\"0.17\", expect_size=\"5385216\"] \n  22 -> 23 [size =\"5385216\"]\n  23 [size=\"113735680\", alpha=\"0.06\", expect_size=\"34120704\"] \n  23 -> 24 [size =\"34120704\"]\n  24 [size=\"73881600\", alpha=\"0.18\", expect_size=\"22164480\"] \n  24 -> 25 [size =\"22164480\"]\n  25 [size=\"57251840\", alpha=\"0.06\", expect_size=\"17175552\"] \n  25 -> 26 [size =\"17175552\"]\n  26 [size=\"122828800\", alpha=\"0.00\", expect_size=\"36848640\"] \n  26 -> 27 [size =\"36848640\"]\n  27 [size=\"169226240\", alpha=\"0.04\", expect_size=\"50767872\"] \n  27 -> 28 [size =\"50767872\"]\n  28 [size=\"113916587\", alpha=\"0.13\", expect_size=\"34174976\"] \n  28 -> 29 [size =\"34174976\"]\n  29 [size=\"125323947\", alpha=\"0.20\", expect_size=\"37597184\"] \n  29 -> 30 [size =\"37597184\"]\n  30 [size=\"27695787\", alpha=\"0.18\", expect_size=\"8308736\"] \n  30 -> 31 [size =\"8308736\"]\n  31 [size=\"28272640\", alpha=\"0.03\", expect_size=\"8481792\"] \n  31 -> 32 [size =\"8481792\"]\n  32 [size=\"85917013\", alpha=\"0.01\", expect_size=\"25775104\"] \n  32 -> 33 [size =\"25775104\"]\n  33 [size=\"63979520\", alpha=\"0.16\", expect_size=\"19193856\"] \n  33 -> 34 [size =\"19193856\"]\n  34 [size=\"112653653\", alpha=\"0.07\", expect_size=\"33796096\"] \n  34 -> 35 [size =\"33796096\"]\n  35 [size=\"93399040\", alpha=\"0.04\", expect_size=\"28019712\"] \n  35 -> 36 [size =\"28019712\"]\n  36 [size=\"142250667\", alpha=\"0.05\", expect_size=\"42675200\"] \n  36 -> 37 [size =\"42675200\"]\n  37 [size=\"145210027\", alpha=\"0.09\", expect_size=\"43563008\"] \n  37 -> 38 [size =\"43563008\"]\n  38 [size=\"174400853\", alpha=\"0.12\", expect_size=\"52320256\"] \n  38 -> 39 [size =\"52320256\"]\n  39 [size=\"120948053\", alpha=\"0.06\", expect_size=\"36284416\"] \n  39 -> 40 [size =\"36284416\"]\n  40 [size=\"119773867\", alpha=\"0.01\", expect_size=\"35932160\"] \n  40 -> 41 [size =\"35932160\"]\n  41 [size=\"102966613\", alpha=\"0.09\", expect_size=\"30889984\"] \n  41 -> 42 [size =\"30889984\"]\n  42 [size=\"124514987\", alpha=\"0.17\", expect_size=\"37354496\"] \n  42 -> 43 [size =\"37354496\"]\n  43 [size=\"134116693\", alpha=\"0.18\", expect_size=\"40235008\"] \n  43 -> 44 [size =\"40235008\"]\n  44 [size=\"101782187\", alpha=\"0.05\", expect_size=\"30534656\"] \n  44 -> 45 [size =\"30534656\"]\n  45 [size=\"154620587\", alpha=\"0.18\", expect_size=\"46386176\"] \n  45 -> 46 [size =\"46386176\"]\n  46 [size=\"28856320\", alpha=\"0.04\", expect_size=\"8656896\"] \n  46 -> 47 [size =\"8656896\"]\n  47 [size=\"70492160\", alpha=\"0.10\", expect_size=\"21147648\"] \n  47 -> 48 [size =\"21147648\"]\n  48 [size=\"143370240\", alpha=\"0.07\", expect_size=\"43011072\"] \n  48 -> 49 [size =\"43011072\"]\n  49 [size=\"78155093\", alpha=\"0.19\", expect_size=\"23446528\"] \n  49 -> 50 [size =\"23446528\"]\n  50 [size=\"123644587\", alpha=\"0.11\", expect_size=\"37093376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.182.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124848640\", alpha=\"0.17\", expect_size=\"49939456\"] \n  1 -> 35 [size =\"49939456\"]\n  1 -> 36 [size =\"49939456\"]\n  1 -> 37 [size =\"49939456\"]\n  1 -> 40 [size =\"49939456\"]\n  1 -> 45 [size =\"49939456\"]\n  2 [size=\"28710400\", alpha=\"0.14\", expect_size=\"11484160\"] \n  2 -> 35 [size =\"11484160\"]\n  2 -> 36 [size =\"11484160\"]\n  2 -> 39 [size =\"11484160\"]\n  2 -> 49 [size =\"11484160\"]\n  3 [size=\"60546560\", alpha=\"0.12\", expect_size=\"24218624\"] \n  3 -> 44 [size =\"24218624\"]\n  3 -> 50 [size =\"24218624\"]\n  4 [size=\"52165120\", alpha=\"0.08\", expect_size=\"20866048\"] \n  4 -> 35 [size =\"20866048\"]\n  4 -> 37 [size =\"20866048\"]\n  4 -> 39 [size =\"20866048\"]\n  4 -> 40 [size =\"20866048\"]\n  4 -> 42 [size =\"20866048\"]\n  4 -> 44 [size =\"20866048\"]\n  4 -> 45 [size =\"20866048\"]\n  4 -> 46 [size =\"20866048\"]\n  5 [size=\"60940800\", alpha=\"0.16\", expect_size=\"24376320\"] \n  5 -> 36 [size =\"24376320\"]\n  5 -> 37 [size =\"24376320\"]\n  5 -> 39 [size =\"24376320\"]\n  5 -> 40 [size =\"24376320\"]\n  5 -> 45 [size =\"24376320\"]\n  6 [size=\"58516480\", alpha=\"0.15\", expect_size=\"23406592\"] \n  6 -> 38 [size =\"23406592\"]\n  6 -> 44 [size =\"23406592\"]\n  6 -> 45 [size =\"23406592\"]\n  6 -> 48 [size =\"23406592\"]\n  7 [size=\"92997120\", alpha=\"0.16\", expect_size=\"37198848\"] \n  7 -> 35 [size =\"37198848\"]\n  7 -> 36 [size =\"37198848\"]\n  7 -> 40 [size =\"37198848\"]\n  7 -> 46 [size =\"37198848\"]\n  7 -> 48 [size =\"37198848\"]\n  8 [size=\"46924800\", alpha=\"0.15\", expect_size=\"18769920\"] \n  8 -> 35 [size =\"18769920\"]\n  8 -> 39 [size =\"18769920\"]\n  8 -> 42 [size =\"18769920\"]\n  8 -> 46 [size =\"18769920\"]\n  9 [size=\"103649280\", alpha=\"0.17\", expect_size=\"41459712\"] \n  9 -> 41 [size =\"41459712\"]\n  10 [size=\"85770240\", alpha=\"0.13\", expect_size=\"34308096\"] \n  10 -> 35 [size =\"34308096\"]\n  10 -> 36 [size =\"34308096\"]\n  10 -> 37 [size =\"34308096\"]\n  10 -> 41 [size =\"34308096\"]\n  10 -> 45 [size =\"34308096\"]\n  10 -> 46 [size =\"34308096\"]\n  11 [size=\"48834560\", alpha=\"0.19\", expect_size=\"19533824\"] \n  11 -> 35 [size =\"19533824\"]\n  11 -> 36 [size =\"19533824\"]\n  12 [size=\"30361600\", alpha=\"0.08\", expect_size=\"12144640\"] \n  12 -> 36 [size =\"12144640\"]\n  12 -> 37 [size =\"12144640\"]\n  12 -> 40 [size =\"12144640\"]\n  12 -> 44 [size =\"12144640\"]\n  13 [size=\"113413120\", alpha=\"0.05\", expect_size=\"45365248\"] \n  13 -> 36 [size =\"45365248\"]\n  13 -> 37 [size =\"45365248\"]\n  13 -> 39 [size =\"45365248\"]\n  13 -> 41 [size =\"45365248\"]\n  13 -> 44 [size =\"45365248\"]\n  14 [size=\"67102720\", alpha=\"0.15\", expect_size=\"26841088\"] \n  14 -> 35 [size =\"26841088\"]\n  14 -> 36 [size =\"26841088\"]\n  14 -> 37 [size =\"26841088\"]\n  14 -> 39 [size =\"26841088\"]\n  14 -> 40 [size =\"26841088\"]\n  14 -> 50 [size =\"26841088\"]\n  15 [size=\"115118080\", alpha=\"0.16\", expect_size=\"46047232\"] \n  15 -> 36 [size =\"46047232\"]\n  15 -> 37 [size =\"46047232\"]\n  15 -> 39 [size =\"46047232\"]\n  15 -> 40 [size =\"46047232\"]\n  15 -> 42 [size =\"46047232\"]\n  15 -> 44 [size =\"46047232\"]\n  15 -> 50 [size =\"46047232\"]\n  16 [size=\"90183680\", alpha=\"0.15\", expect_size=\"36073472\"] \n  16 -> 35 [size =\"36073472\"]\n  16 -> 37 [size =\"36073472\"]\n  16 -> 39 [size =\"36073472\"]\n  16 -> 42 [size =\"36073472\"]\n  17 [size=\"58695680\", alpha=\"0.08\", expect_size=\"23478272\"] \n  17 -> 38 [size =\"23478272\"]\n  17 -> 41 [size =\"23478272\"]\n  18 [size=\"33349120\", alpha=\"0.13\", expect_size=\"13339648\"] \n  18 -> 35 [size =\"13339648\"]\n  18 -> 43 [size =\"13339648\"]\n  18 -> 47 [size =\"13339648\"]\n  19 [size=\"123781120\", alpha=\"0.08\", expect_size=\"49512448\"] \n  19 -> 35 [size =\"49512448\"]\n  19 -> 41 [size =\"49512448\"]\n  20 [size=\"103838720\", alpha=\"0.03\", expect_size=\"41535488\"] \n  21 [size=\"59694080\", alpha=\"0.16\", expect_size=\"23877632\"] \n  21 -> 35 [size =\"23877632\"]\n  21 -> 37 [size =\"23877632\"]\n  21 -> 40 [size =\"23877632\"]\n  21 -> 45 [size =\"23877632\"]\n  22 [size=\"51046400\", alpha=\"0.12\", expect_size=\"20418560\"] \n  22 -> 35 [size =\"20418560\"]\n  22 -> 37 [size =\"20418560\"]\n  22 -> 44 [size =\"20418560\"]\n  22 -> 45 [size =\"20418560\"]\n  23 [size=\"100252160\", alpha=\"0.16\", expect_size=\"40100864\"] \n  23 -> 37 [size =\"40100864\"]\n  23 -> 37 [size =\"40100864\"]\n  23 -> 40 [size =\"40100864\"]\n  23 -> 44 [size =\"40100864\"]\n  23 -> 45 [size =\"40100864\"]\n  23 -> 46 [size =\"40100864\"]\n  23 -> 49 [size =\"40100864\"]\n  23 -> 50 [size =\"40100864\"]\n  24 [size=\"129367040\", alpha=\"0.07\", expect_size=\"51746816\"] \n  24 -> 35 [size =\"51746816\"]\n  24 -> 37 [size =\"51746816\"]\n  24 -> 40 [size =\"51746816\"]\n  24 -> 42 [size =\"51746816\"]\n  24 -> 45 [size =\"51746816\"]\n  24 -> 47 [size =\"51746816\"]\n  25 [size=\"99125760\", alpha=\"0.06\", expect_size=\"39650304\"] \n  25 -> 42 [size =\"39650304\"]\n  26 [size=\"77355520\", alpha=\"0.13\", expect_size=\"30942208\"] \n  26 -> 35 [size =\"30942208\"]\n  26 -> 42 [size =\"30942208\"]\n  26 -> 44 [size =\"30942208\"]\n  27 [size=\"48719360\", alpha=\"0.13\", expect_size=\"19487744\"] \n  27 -> 35 [size =\"19487744\"]\n  27 -> 39 [size =\"19487744\"]\n  27 -> 45 [size =\"19487744\"]\n  28 [size=\"97853440\", alpha=\"0.19\", expect_size=\"39141376\"] \n  28 -> 35 [size =\"39141376\"]\n  28 -> 45 [size =\"39141376\"]\n  28 -> 45 [size =\"39141376\"]\n  29 [size=\"57121280\", alpha=\"0.00\", expect_size=\"22848512\"] \n  29 -> 35 [size =\"22848512\"]\n  29 -> 45 [size =\"22848512\"]\n  30 [size=\"104238080\", alpha=\"0.14\", expect_size=\"41695232\"] \n  30 -> 40 [size =\"41695232\"]\n  30 -> 45 [size =\"41695232\"]\n  31 [size=\"119375360\", alpha=\"0.14\", expect_size=\"47750144\"] \n  31 -> 35 [size =\"47750144\"]\n  31 -> 39 [size =\"47750144\"]\n  31 -> 40 [size =\"47750144\"]\n  31 -> 42 [size =\"47750144\"]\n  31 -> 45 [size =\"47750144\"]\n  31 -> 49 [size =\"47750144\"]\n  31 -> 50 [size =\"47750144\"]\n  32 [size=\"96307200\", alpha=\"0.16\", expect_size=\"38522880\"] \n  32 -> 35 [size =\"38522880\"]\n  33 [size=\"50639360\", alpha=\"0.16\", expect_size=\"20255744\"] \n  33 -> 35 [size =\"20255744\"]\n  33 -> 36 [size =\"20255744\"]\n  33 -> 37 [size =\"20255744\"]\n  33 -> 39 [size =\"20255744\"]\n  33 -> 42 [size =\"20255744\"]\n  33 -> 45 [size =\"20255744\"]\n  33 -> 46 [size =\"20255744\"]\n  34 [size=\"29813760\", alpha=\"0.04\", expect_size=\"11925504\"] \n  34 -> 36 [size =\"11925504\"]\n  34 -> 37 [size =\"11925504\"]\n  34 -> 37 [size =\"11925504\"]\n  34 -> 38 [size =\"11925504\"]\n  34 -> 42 [size =\"11925504\"]\n  34 -> 45 [size =\"11925504\"]\n  35 [size=\"72890880\", alpha=\"0.10\", expect_size=\"29156352\"] \n  36 [size=\"109742080\", alpha=\"0.10\", expect_size=\"43896832\"] \n  37 [size=\"67811840\", alpha=\"0.16\", expect_size=\"27124736\"] \n  38 [size=\"26992640\", alpha=\"0.07\", expect_size=\"10797056\"] \n  39 [size=\"21102080\", alpha=\"0.16\", expect_size=\"8440832\"] \n  40 [size=\"22717440\", alpha=\"0.00\", expect_size=\"9086976\"] \n  41 [size=\"104501760\", alpha=\"0.12\", expect_size=\"41800704\"] \n  42 [size=\"66252800\", alpha=\"0.11\", expect_size=\"26501120\"] \n  43 [size=\"43194880\", alpha=\"0.05\", expect_size=\"17277952\"] \n  44 [size=\"17671680\", alpha=\"0.18\", expect_size=\"7068672\"] \n  45 [size=\"43676160\", alpha=\"0.06\", expect_size=\"17470464\"] \n  46 [size=\"105256960\", alpha=\"0.04\", expect_size=\"42102784\"] \n  47 [size=\"43566080\", alpha=\"0.09\", expect_size=\"17426432\"] \n  48 [size=\"22156800\", alpha=\"0.08\", expect_size=\"8862720\"] \n  49 [size=\"61271040\", alpha=\"0.15\", expect_size=\"24508416\"] \n  50 [size=\"35655680\", alpha=\"0.17\", expect_size=\"14262272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.183.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80215040\", alpha=\"0.06\", expect_size=\"32086016\"] \n  1 -> 12 [size =\"32086016\"]\n  1 -> 13 [size =\"32086016\"]\n  1 -> 16 [size =\"32086016\"]\n  1 -> 19 [size =\"32086016\"]\n  1 -> 20 [size =\"32086016\"]\n  2 [size=\"72934400\", alpha=\"0.12\", expect_size=\"29173760\"] \n  2 -> 12 [size =\"29173760\"]\n  2 -> 19 [size =\"29173760\"]\n  3 [size=\"89525760\", alpha=\"0.10\", expect_size=\"35810304\"] \n  3 -> 11 [size =\"35810304\"]\n  3 -> 12 [size =\"35810304\"]\n  3 -> 16 [size =\"35810304\"]\n  3 -> 19 [size =\"35810304\"]\n  3 -> 20 [size =\"35810304\"]\n  4 [size=\"116951040\", alpha=\"0.13\", expect_size=\"46780416\"] \n  4 -> 12 [size =\"46780416\"]\n  4 -> 15 [size =\"46780416\"]\n  4 -> 16 [size =\"46780416\"]\n  4 -> 17 [size =\"46780416\"]\n  4 -> 18 [size =\"46780416\"]\n  5 [size=\"60705280\", alpha=\"0.11\", expect_size=\"24282112\"] \n  5 -> 14 [size =\"24282112\"]\n  5 -> 15 [size =\"24282112\"]\n  5 -> 16 [size =\"24282112\"]\n  5 -> 19 [size =\"24282112\"]\n  5 -> 20 [size =\"24282112\"]\n  6 [size=\"108672000\", alpha=\"0.14\", expect_size=\"43468800\"] \n  6 -> 14 [size =\"43468800\"]\n  6 -> 18 [size =\"43468800\"]\n  6 -> 19 [size =\"43468800\"]\n  6 -> 19 [size =\"43468800\"]\n  7 [size=\"73843200\", alpha=\"0.14\", expect_size=\"29537280\"] \n  7 -> 11 [size =\"29537280\"]\n  7 -> 14 [size =\"29537280\"]\n  7 -> 15 [size =\"29537280\"]\n  7 -> 16 [size =\"29537280\"]\n  8 [size=\"33208320\", alpha=\"0.10\", expect_size=\"13283328\"] \n  9 [size=\"98501120\", alpha=\"0.10\", expect_size=\"39400448\"] \n  9 -> 12 [size =\"39400448\"]\n  9 -> 13 [size =\"39400448\"]\n  9 -> 14 [size =\"39400448\"]\n  10 [size=\"99607040\", alpha=\"0.09\", expect_size=\"39842816\"] \n  10 -> 12 [size =\"39842816\"]\n  10 -> 13 [size =\"39842816\"]\n  10 -> 16 [size =\"39842816\"]\n  10 -> 19 [size =\"39842816\"]\n  11 [size=\"65054720\", alpha=\"0.13\", expect_size=\"26021888\"] \n  11 -> 21 [size =\"26021888\"]\n  11 -> 22 [size =\"26021888\"]\n  11 -> 27 [size =\"26021888\"]\n  11 -> 28 [size =\"26021888\"]\n  11 -> 29 [size =\"26021888\"]\n  11 -> 30 [size =\"26021888\"]\n  12 [size=\"99136000\", alpha=\"0.03\", expect_size=\"39654400\"] \n  12 -> 22 [size =\"39654400\"]\n  12 -> 23 [size =\"39654400\"]\n  12 -> 28 [size =\"39654400\"]\n  12 -> 30 [size =\"39654400\"]\n  13 [size=\"54336000\", alpha=\"0.09\", expect_size=\"21734400\"] \n  13 -> 22 [size =\"21734400\"]\n  13 -> 24 [size =\"21734400\"]\n  13 -> 27 [size =\"21734400\"]\n  13 -> 30 [size =\"21734400\"]\n  14 [size=\"113704960\", alpha=\"0.08\", expect_size=\"45481984\"] \n  14 -> 22 [size =\"45481984\"]\n  14 -> 23 [size =\"45481984\"]\n  14 -> 24 [size =\"45481984\"]\n  15 [size=\"71618560\", alpha=\"0.15\", expect_size=\"28647424\"] \n  15 -> 21 [size =\"28647424\"]\n  15 -> 24 [size =\"28647424\"]\n  15 -> 24 [size =\"28647424\"]\n  15 -> 26 [size =\"28647424\"]\n  15 -> 27 [size =\"28647424\"]\n  16 [size=\"18122240\", alpha=\"0.20\", expect_size=\"7248896\"] \n  16 -> 21 [size =\"7248896\"]\n  16 -> 23 [size =\"7248896\"]\n  16 -> 25 [size =\"7248896\"]\n  16 -> 29 [size =\"7248896\"]\n  17 [size=\"98168320\", alpha=\"0.04\", expect_size=\"39267328\"] \n  17 -> 21 [size =\"39267328\"]\n  17 -> 23 [size =\"39267328\"]\n  17 -> 25 [size =\"39267328\"]\n  17 -> 26 [size =\"39267328\"]\n  17 -> 27 [size =\"39267328\"]\n  18 [size=\"64046080\", alpha=\"0.16\", expect_size=\"25618432\"] \n  18 -> 21 [size =\"25618432\"]\n  18 -> 22 [size =\"25618432\"]\n  18 -> 23 [size =\"25618432\"]\n  18 -> 24 [size =\"25618432\"]\n  18 -> 27 [size =\"25618432\"]\n  18 -> 30 [size =\"25618432\"]\n  19 [size=\"122874880\", alpha=\"0.15\", expect_size=\"49149952\"] \n  19 -> 21 [size =\"49149952\"]\n  19 -> 22 [size =\"49149952\"]\n  19 -> 23 [size =\"49149952\"]\n  19 -> 24 [size =\"49149952\"]\n  19 -> 26 [size =\"49149952\"]\n  19 -> 29 [size =\"49149952\"]\n  19 -> 30 [size =\"49149952\"]\n  20 [size=\"64706560\", alpha=\"0.14\", expect_size=\"25882624\"] \n  20 -> 21 [size =\"25882624\"]\n  20 -> 22 [size =\"25882624\"]\n  20 -> 23 [size =\"25882624\"]\n  20 -> 24 [size =\"25882624\"]\n  20 -> 27 [size =\"25882624\"]\n  20 -> 30 [size =\"25882624\"]\n  21 [size=\"117073920\", alpha=\"0.06\", expect_size=\"46829568\"] \n  21 -> 35 [size =\"46829568\"]\n  21 -> 41 [size =\"46829568\"]\n  21 -> 42 [size =\"46829568\"]\n  21 -> 45 [size =\"46829568\"]\n  21 -> 47 [size =\"46829568\"]\n  22 [size=\"75955200\", alpha=\"0.07\", expect_size=\"30382080\"] \n  22 -> 32 [size =\"30382080\"]\n  22 -> 34 [size =\"30382080\"]\n  22 -> 38 [size =\"30382080\"]\n  22 -> 41 [size =\"30382080\"]\n  22 -> 42 [size =\"30382080\"]\n  22 -> 45 [size =\"30382080\"]\n  22 -> 47 [size =\"30382080\"]\n  23 [size=\"93007360\", alpha=\"0.01\", expect_size=\"37202944\"] \n  23 -> 31 [size =\"37202944\"]\n  23 -> 38 [size =\"37202944\"]\n  23 -> 41 [size =\"37202944\"]\n  23 -> 46 [size =\"37202944\"]\n  23 -> 47 [size =\"37202944\"]\n  24 [size=\"26577920\", alpha=\"0.13\", expect_size=\"10631168\"] \n  24 -> 31 [size =\"10631168\"]\n  24 -> 33 [size =\"10631168\"]\n  24 -> 34 [size =\"10631168\"]\n  24 -> 36 [size =\"10631168\"]\n  24 -> 37 [size =\"10631168\"]\n  24 -> 38 [size =\"10631168\"]\n  24 -> 40 [size =\"10631168\"]\n  24 -> 41 [size =\"10631168\"]\n  24 -> 46 [size =\"10631168\"]\n  25 [size=\"76049920\", alpha=\"0.13\", expect_size=\"30419968\"] \n  25 -> 32 [size =\"30419968\"]\n  25 -> 34 [size =\"30419968\"]\n  25 -> 36 [size =\"30419968\"]\n  25 -> 41 [size =\"30419968\"]\n  25 -> 45 [size =\"30419968\"]\n  25 -> 46 [size =\"30419968\"]\n  25 -> 47 [size =\"30419968\"]\n  25 -> 48 [size =\"30419968\"]\n  26 [size=\"45076480\", alpha=\"0.09\", expect_size=\"18030592\"] \n  26 -> 33 [size =\"18030592\"]\n  26 -> 34 [size =\"18030592\"]\n  26 -> 36 [size =\"18030592\"]\n  26 -> 39 [size =\"18030592\"]\n  26 -> 40 [size =\"18030592\"]\n  26 -> 41 [size =\"18030592\"]\n  26 -> 42 [size =\"18030592\"]\n  26 -> 44 [size =\"18030592\"]\n  26 -> 47 [size =\"18030592\"]\n  26 -> 48 [size =\"18030592\"]\n  27 [size=\"44249600\", alpha=\"0.15\", expect_size=\"17699840\"] \n  27 -> 31 [size =\"17699840\"]\n  27 -> 32 [size =\"17699840\"]\n  27 -> 36 [size =\"17699840\"]\n  27 -> 38 [size =\"17699840\"]\n  27 -> 43 [size =\"17699840\"]\n  27 -> 44 [size =\"17699840\"]\n  27 -> 48 [size =\"17699840\"]\n  28 [size=\"64983040\", alpha=\"0.05\", expect_size=\"25993216\"] \n  28 -> 31 [size =\"25993216\"]\n  28 -> 34 [size =\"25993216\"]\n  28 -> 36 [size =\"25993216\"]\n  28 -> 38 [size =\"25993216\"]\n  28 -> 39 [size =\"25993216\"]\n  28 -> 41 [size =\"25993216\"]\n  28 -> 42 [size =\"25993216\"]\n  28 -> 43 [size =\"25993216\"]\n  28 -> 48 [size =\"25993216\"]\n  29 [size=\"40686080\", alpha=\"0.10\", expect_size=\"16274432\"] \n  29 -> 34 [size =\"16274432\"]\n  29 -> 38 [size =\"16274432\"]\n  29 -> 40 [size =\"16274432\"]\n  29 -> 42 [size =\"16274432\"]\n  29 -> 45 [size =\"16274432\"]\n  29 -> 46 [size =\"16274432\"]\n  29 -> 47 [size =\"16274432\"]\n  29 -> 48 [size =\"16274432\"]\n  30 [size=\"127272960\", alpha=\"0.09\", expect_size=\"50909184\"] \n  30 -> 31 [size =\"50909184\"]\n  30 -> 32 [size =\"50909184\"]\n  30 -> 34 [size =\"50909184\"]\n  30 -> 36 [size =\"50909184\"]\n  30 -> 42 [size =\"50909184\"]\n  30 -> 48 [size =\"50909184\"]\n  31 [size=\"94515200\", alpha=\"0.16\", expect_size=\"37806080\"] \n  32 [size=\"127485440\", alpha=\"0.19\", expect_size=\"50994176\"] \n  33 [size=\"50086400\", alpha=\"0.08\", expect_size=\"20034560\"] \n  34 [size=\"56698880\", alpha=\"0.14\", expect_size=\"22679552\"] \n  34 -> 50 [size =\"22679552\"]\n  35 [size=\"15237120\", alpha=\"0.11\", expect_size=\"6094848\"] \n  36 [size=\"91271680\", alpha=\"0.08\", expect_size=\"36508672\"] \n  37 [size=\"26465280\", alpha=\"0.20\", expect_size=\"10586112\"] \n  38 [size=\"117493760\", alpha=\"0.20\", expect_size=\"46997504\"] \n  39 [size=\"30558720\", alpha=\"0.19\", expect_size=\"12223488\"] \n  39 -> 50 [size =\"12223488\"]\n  40 [size=\"86988800\", alpha=\"0.06\", expect_size=\"34795520\"] \n  41 [size=\"19392000\", alpha=\"0.11\", expect_size=\"7756800\"] \n  42 [size=\"115645440\", alpha=\"0.07\", expect_size=\"46258176\"] \n  42 -> 50 [size =\"46258176\"]\n  43 [size=\"107883520\", alpha=\"0.17\", expect_size=\"43153408\"] \n  43 -> 50 [size =\"43153408\"]\n  44 [size=\"37337600\", alpha=\"0.09\", expect_size=\"14935040\"] \n  45 [size=\"122572800\", alpha=\"0.11\", expect_size=\"49029120\"] \n  46 [size=\"68203520\", alpha=\"0.19\", expect_size=\"27281408\"] \n  46 -> 49 [size =\"27281408\"]\n  46 -> 50 [size =\"27281408\"]\n  47 [size=\"115179520\", alpha=\"0.12\", expect_size=\"46071808\"] \n  47 -> 49 [size =\"46071808\"]\n  48 [size=\"112627200\", alpha=\"0.14\", expect_size=\"45050880\"] \n  49 [size=\"111493120\", alpha=\"0.00\", expect_size=\"44597248\"] \n  50 [size=\"103577600\", alpha=\"0.06\", expect_size=\"41431040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.184.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68788224\", alpha=\"0.13\", expect_size=\"34394112\"] \n  1 -> 8 [size =\"34394112\"]\n  1 -> 10 [size =\"34394112\"]\n  1 -> 12 [size =\"34394112\"]\n  2 [size=\"102154240\", alpha=\"0.12\", expect_size=\"51077120\"] \n  2 -> 8 [size =\"51077120\"]\n  2 -> 10 [size =\"51077120\"]\n  2 -> 11 [size =\"51077120\"]\n  3 [size=\"44777472\", alpha=\"0.00\", expect_size=\"22388736\"] \n  3 -> 8 [size =\"22388736\"]\n  4 [size=\"51253248\", alpha=\"0.17\", expect_size=\"25626624\"] \n  5 [size=\"100595712\", alpha=\"0.12\", expect_size=\"50297856\"] \n  5 -> 8 [size =\"50297856\"]\n  5 -> 9 [size =\"50297856\"]\n  5 -> 10 [size =\"50297856\"]\n  5 -> 11 [size =\"50297856\"]\n  5 -> 12 [size =\"50297856\"]\n  6 [size=\"81936384\", alpha=\"0.13\", expect_size=\"40968192\"] \n  6 -> 12 [size =\"40968192\"]\n  6 -> 13 [size =\"40968192\"]\n  7 [size=\"18962432\", alpha=\"0.03\", expect_size=\"9481216\"] \n  8 [size=\"43628544\", alpha=\"0.18\", expect_size=\"21814272\"] \n  8 -> 15 [size =\"21814272\"]\n  8 -> 17 [size =\"21814272\"]\n  9 [size=\"75243520\", alpha=\"0.19\", expect_size=\"37621760\"] \n  9 -> 14 [size =\"37621760\"]\n  9 -> 15 [size =\"37621760\"]\n  9 -> 18 [size =\"37621760\"]\n  10 [size=\"35072000\", alpha=\"0.18\", expect_size=\"17536000\"] \n  10 -> 14 [size =\"17536000\"]\n  10 -> 18 [size =\"17536000\"]\n  11 [size=\"23531520\", alpha=\"0.11\", expect_size=\"11765760\"] \n  11 -> 14 [size =\"11765760\"]\n  11 -> 16 [size =\"11765760\"]\n  11 -> 17 [size =\"11765760\"]\n  12 [size=\"83681280\", alpha=\"0.03\", expect_size=\"41840640\"] \n  12 -> 16 [size =\"41840640\"]\n  12 -> 20 [size =\"41840640\"]\n  13 [size=\"46342144\", alpha=\"0.01\", expect_size=\"23171072\"] \n  13 -> 14 [size =\"23171072\"]\n  13 -> 18 [size =\"23171072\"]\n  13 -> 19 [size =\"23171072\"]\n  14 [size=\"46630912\", alpha=\"0.15\", expect_size=\"23315456\"] \n  14 -> 21 [size =\"23315456\"]\n  15 [size=\"33957888\", alpha=\"0.12\", expect_size=\"16978944\"] \n  15 -> 21 [size =\"16978944\"]\n  16 [size=\"88539136\", alpha=\"0.15\", expect_size=\"44269568\"] \n  16 -> 21 [size =\"44269568\"]\n  16 -> 22 [size =\"44269568\"]\n  16 -> 23 [size =\"44269568\"]\n  16 -> 25 [size =\"44269568\"]\n  17 [size=\"56629248\", alpha=\"0.15\", expect_size=\"28314624\"] \n  17 -> 25 [size =\"28314624\"]\n  18 [size=\"73074688\", alpha=\"0.18\", expect_size=\"36537344\"] \n  18 -> 22 [size =\"36537344\"]\n  18 -> 25 [size =\"36537344\"]\n  19 [size=\"63328256\", alpha=\"0.14\", expect_size=\"31664128\"] \n  19 -> 22 [size =\"31664128\"]\n  19 -> 24 [size =\"31664128\"]\n  20 [size=\"60596224\", alpha=\"0.01\", expect_size=\"30298112\"] \n  20 -> 22 [size =\"30298112\"]\n  20 -> 23 [size =\"30298112\"]\n  20 -> 25 [size =\"30298112\"]\n  21 [size=\"50896896\", alpha=\"0.20\", expect_size=\"25448448\"] \n  21 -> 27 [size =\"25448448\"]\n  22 [size=\"103342080\", alpha=\"0.18\", expect_size=\"51671040\"] \n  22 -> 26 [size =\"51671040\"]\n  22 -> 32 [size =\"51671040\"]\n  23 [size=\"22765568\", alpha=\"0.04\", expect_size=\"11382784\"] \n  23 -> 26 [size =\"11382784\"]\n  23 -> 27 [size =\"11382784\"]\n  23 -> 28 [size =\"11382784\"]\n  23 -> 29 [size =\"11382784\"]\n  23 -> 30 [size =\"11382784\"]\n  23 -> 32 [size =\"11382784\"]\n  24 [size=\"26812416\", alpha=\"0.18\", expect_size=\"13406208\"] \n  24 -> 26 [size =\"13406208\"]\n  24 -> 27 [size =\"13406208\"]\n  24 -> 29 [size =\"13406208\"]\n  24 -> 29 [size =\"13406208\"]\n  24 -> 32 [size =\"13406208\"]\n  25 [size=\"96813056\", alpha=\"0.11\", expect_size=\"48406528\"] \n  25 -> 31 [size =\"48406528\"]\n  26 [size=\"59029504\", alpha=\"0.20\", expect_size=\"29514752\"] \n  26 -> 36 [size =\"29514752\"]\n  26 -> 37 [size =\"29514752\"]\n  26 -> 39 [size =\"29514752\"]\n  27 [size=\"34011136\", alpha=\"0.10\", expect_size=\"17005568\"] \n  27 -> 36 [size =\"17005568\"]\n  27 -> 38 [size =\"17005568\"]\n  28 [size=\"103557120\", alpha=\"0.07\", expect_size=\"51778560\"] \n  28 -> 34 [size =\"51778560\"]\n  28 -> 37 [size =\"51778560\"]\n  29 [size=\"94232576\", alpha=\"0.18\", expect_size=\"47116288\"] \n  29 -> 33 [size =\"47116288\"]\n  29 -> 35 [size =\"47116288\"]\n  30 [size=\"67674112\", alpha=\"0.15\", expect_size=\"33837056\"] \n  30 -> 33 [size =\"33837056\"]\n  31 [size=\"72015872\", alpha=\"0.14\", expect_size=\"36007936\"] \n  31 -> 36 [size =\"36007936\"]\n  32 [size=\"71192576\", alpha=\"0.08\", expect_size=\"35596288\"] \n  32 -> 36 [size =\"35596288\"]\n  32 -> 38 [size =\"35596288\"]\n  33 [size=\"62500864\", alpha=\"0.10\", expect_size=\"31250432\"] \n  33 -> 41 [size =\"31250432\"]\n  33 -> 45 [size =\"31250432\"]\n  33 -> 46 [size =\"31250432\"]\n  34 [size=\"80230400\", alpha=\"0.00\", expect_size=\"40115200\"] \n  34 -> 41 [size =\"40115200\"]\n  34 -> 44 [size =\"40115200\"]\n  34 -> 46 [size =\"40115200\"]\n  35 [size=\"70778880\", alpha=\"0.15\", expect_size=\"35389440\"] \n  35 -> 42 [size =\"35389440\"]\n  35 -> 45 [size =\"35389440\"]\n  35 -> 46 [size =\"35389440\"]\n  36 [size=\"29886464\", alpha=\"0.06\", expect_size=\"14943232\"] \n  36 -> 40 [size =\"14943232\"]\n  36 -> 42 [size =\"14943232\"]\n  36 -> 44 [size =\"14943232\"]\n  36 -> 47 [size =\"14943232\"]\n  37 [size=\"29003776\", alpha=\"0.07\", expect_size=\"14501888\"] \n  37 -> 40 [size =\"14501888\"]\n  37 -> 41 [size =\"14501888\"]\n  37 -> 42 [size =\"14501888\"]\n  37 -> 43 [size =\"14501888\"]\n  37 -> 47 [size =\"14501888\"]\n  38 [size=\"76609536\", alpha=\"0.01\", expect_size=\"38304768\"] \n  38 -> 40 [size =\"38304768\"]\n  38 -> 41 [size =\"38304768\"]\n  38 -> 43 [size =\"38304768\"]\n  38 -> 44 [size =\"38304768\"]\n  38 -> 46 [size =\"38304768\"]\n  39 [size=\"17100800\", alpha=\"0.07\", expect_size=\"8550400\"] \n  39 -> 40 [size =\"8550400\"]\n  39 -> 43 [size =\"8550400\"]\n  39 -> 44 [size =\"8550400\"]\n  39 -> 45 [size =\"8550400\"]\n  40 [size=\"103983104\", alpha=\"0.03\", expect_size=\"51991552\"] \n  40 -> 49 [size =\"51991552\"]\n  40 -> 50 [size =\"51991552\"]\n  41 [size=\"78727168\", alpha=\"0.08\", expect_size=\"39363584\"] \n  41 -> 48 [size =\"39363584\"]\n  42 [size=\"48750592\", alpha=\"0.12\", expect_size=\"24375296\"] \n  42 -> 50 [size =\"24375296\"]\n  43 [size=\"87252992\", alpha=\"0.19\", expect_size=\"43626496\"] \n  43 -> 48 [size =\"43626496\"]\n  43 -> 50 [size =\"43626496\"]\n  44 [size=\"41347072\", alpha=\"0.10\", expect_size=\"20673536\"] \n  44 -> 50 [size =\"20673536\"]\n  45 [size=\"41549824\", alpha=\"0.18\", expect_size=\"20774912\"] \n  45 -> 48 [size =\"20774912\"]\n  45 -> 49 [size =\"20774912\"]\n  46 [size=\"16961536\", alpha=\"0.18\", expect_size=\"8480768\"] \n  46 -> 50 [size =\"8480768\"]\n  47 [size=\"45637632\", alpha=\"0.02\", expect_size=\"22818816\"] \n  48 [size=\"79351808\", alpha=\"0.05\", expect_size=\"39675904\"] \n  49 [size=\"86319104\", alpha=\"0.07\", expect_size=\"43159552\"] \n  50 [size=\"25014272\", alpha=\"0.00\", expect_size=\"12507136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.185.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32946176\", alpha=\"0.03\", expect_size=\"16473088\"] \n  1 -> 7 [size =\"16473088\"]\n  1 -> 8 [size =\"16473088\"]\n  1 -> 9 [size =\"16473088\"]\n  1 -> 11 [size =\"16473088\"]\n  2 [size=\"39362560\", alpha=\"0.04\", expect_size=\"19681280\"] \n  2 -> 7 [size =\"19681280\"]\n  2 -> 10 [size =\"19681280\"]\n  3 [size=\"91580416\", alpha=\"0.08\", expect_size=\"45790208\"] \n  3 -> 7 [size =\"45790208\"]\n  4 [size=\"102543360\", alpha=\"0.04\", expect_size=\"51271680\"] \n  4 -> 7 [size =\"51271680\"]\n  4 -> 10 [size =\"51271680\"]\n  5 [size=\"21540864\", alpha=\"0.00\", expect_size=\"10770432\"] \n  5 -> 9 [size =\"10770432\"]\n  5 -> 10 [size =\"10770432\"]\n  6 [size=\"12376064\", alpha=\"0.13\", expect_size=\"6188032\"] \n  7 [size=\"60852224\", alpha=\"0.18\", expect_size=\"30426112\"] \n  7 -> 12 [size =\"30426112\"]\n  7 -> 15 [size =\"30426112\"]\n  8 [size=\"58388480\", alpha=\"0.07\", expect_size=\"29194240\"] \n  8 -> 14 [size =\"29194240\"]\n  8 -> 15 [size =\"29194240\"]\n  8 -> 17 [size =\"29194240\"]\n  8 -> 19 [size =\"29194240\"]\n  9 [size=\"74092544\", alpha=\"0.01\", expect_size=\"37046272\"] \n  9 -> 12 [size =\"37046272\"]\n  9 -> 13 [size =\"37046272\"]\n  9 -> 14 [size =\"37046272\"]\n  9 -> 17 [size =\"37046272\"]\n  9 -> 19 [size =\"37046272\"]\n  10 [size=\"69246976\", alpha=\"0.14\", expect_size=\"34623488\"] \n  10 -> 13 [size =\"34623488\"]\n  10 -> 14 [size =\"34623488\"]\n  10 -> 15 [size =\"34623488\"]\n  10 -> 17 [size =\"34623488\"]\n  10 -> 18 [size =\"34623488\"]\n  11 [size=\"19730432\", alpha=\"0.11\", expect_size=\"9865216\"] \n  11 -> 12 [size =\"9865216\"]\n  11 -> 14 [size =\"9865216\"]\n  11 -> 15 [size =\"9865216\"]\n  11 -> 16 [size =\"9865216\"]\n  11 -> 17 [size =\"9865216\"]\n  11 -> 18 [size =\"9865216\"]\n  12 [size=\"35338240\", alpha=\"0.19\", expect_size=\"17669120\"] \n  12 -> 21 [size =\"17669120\"]\n  12 -> 22 [size =\"17669120\"]\n  12 -> 23 [size =\"17669120\"]\n  12 -> 26 [size =\"17669120\"]\n  13 [size=\"55994368\", alpha=\"0.06\", expect_size=\"27997184\"] \n  13 -> 20 [size =\"27997184\"]\n  13 -> 21 [size =\"27997184\"]\n  13 -> 25 [size =\"27997184\"]\n  13 -> 26 [size =\"27997184\"]\n  14 [size=\"91815936\", alpha=\"0.18\", expect_size=\"45907968\"] \n  14 -> 23 [size =\"45907968\"]\n  15 [size=\"16842752\", alpha=\"0.18\", expect_size=\"8421376\"] \n  15 -> 20 [size =\"8421376\"]\n  15 -> 21 [size =\"8421376\"]\n  15 -> 23 [size =\"8421376\"]\n  16 [size=\"17182720\", alpha=\"0.00\", expect_size=\"8591360\"] \n  16 -> 23 [size =\"8591360\"]\n  16 -> 24 [size =\"8591360\"]\n  17 [size=\"77981696\", alpha=\"0.18\", expect_size=\"38990848\"] \n  17 -> 23 [size =\"38990848\"]\n  17 -> 24 [size =\"38990848\"]\n  18 [size=\"67426304\", alpha=\"0.07\", expect_size=\"33713152\"] \n  18 -> 21 [size =\"33713152\"]\n  18 -> 26 [size =\"33713152\"]\n  19 [size=\"98893824\", alpha=\"0.11\", expect_size=\"49446912\"] \n  19 -> 21 [size =\"49446912\"]\n  19 -> 23 [size =\"49446912\"]\n  19 -> 25 [size =\"49446912\"]\n  20 [size=\"104108032\", alpha=\"0.14\", expect_size=\"52054016\"] \n  20 -> 28 [size =\"52054016\"]\n  20 -> 32 [size =\"52054016\"]\n  20 -> 33 [size =\"52054016\"]\n  20 -> 34 [size =\"52054016\"]\n  21 [size=\"76953600\", alpha=\"0.02\", expect_size=\"38476800\"] \n  21 -> 31 [size =\"38476800\"]\n  21 -> 34 [size =\"38476800\"]\n  22 [size=\"34551808\", alpha=\"0.16\", expect_size=\"17275904\"] \n  22 -> 29 [size =\"17275904\"]\n  22 -> 30 [size =\"17275904\"]\n  22 -> 34 [size =\"17275904\"]\n  23 [size=\"30443520\", alpha=\"0.07\", expect_size=\"15221760\"] \n  23 -> 27 [size =\"15221760\"]\n  24 [size=\"57591808\", alpha=\"0.18\", expect_size=\"28795904\"] \n  24 -> 27 [size =\"28795904\"]\n  24 -> 31 [size =\"28795904\"]\n  24 -> 32 [size =\"28795904\"]\n  24 -> 34 [size =\"28795904\"]\n  25 [size=\"47331328\", alpha=\"0.11\", expect_size=\"23665664\"] \n  25 -> 29 [size =\"23665664\"]\n  25 -> 30 [size =\"23665664\"]\n  25 -> 32 [size =\"23665664\"]\n  26 [size=\"35958784\", alpha=\"0.05\", expect_size=\"17979392\"] \n  26 -> 29 [size =\"17979392\"]\n  26 -> 30 [size =\"17979392\"]\n  26 -> 31 [size =\"17979392\"]\n  26 -> 32 [size =\"17979392\"]\n  26 -> 34 [size =\"17979392\"]\n  27 [size=\"35966976\", alpha=\"0.09\", expect_size=\"17983488\"] \n  27 -> 36 [size =\"17983488\"]\n  27 -> 38 [size =\"17983488\"]\n  27 -> 40 [size =\"17983488\"]\n  27 -> 41 [size =\"17983488\"]\n  28 [size=\"28807168\", alpha=\"0.03\", expect_size=\"14403584\"] \n  28 -> 39 [size =\"14403584\"]\n  28 -> 40 [size =\"14403584\"]\n  28 -> 41 [size =\"14403584\"]\n  29 [size=\"62521344\", alpha=\"0.11\", expect_size=\"31260672\"] \n  29 -> 35 [size =\"31260672\"]\n  29 -> 36 [size =\"31260672\"]\n  29 -> 37 [size =\"31260672\"]\n  29 -> 39 [size =\"31260672\"]\n  29 -> 41 [size =\"31260672\"]\n  29 -> 42 [size =\"31260672\"]\n  30 [size=\"20568064\", alpha=\"0.11\", expect_size=\"10284032\"] \n  30 -> 36 [size =\"10284032\"]\n  30 -> 37 [size =\"10284032\"]\n  30 -> 38 [size =\"10284032\"]\n  30 -> 39 [size =\"10284032\"]\n  30 -> 42 [size =\"10284032\"]\n  31 [size=\"87883776\", alpha=\"0.13\", expect_size=\"43941888\"] \n  31 -> 37 [size =\"43941888\"]\n  31 -> 39 [size =\"43941888\"]\n  31 -> 40 [size =\"43941888\"]\n  31 -> 41 [size =\"43941888\"]\n  32 [size=\"98185216\", alpha=\"0.01\", expect_size=\"49092608\"] \n  32 -> 37 [size =\"49092608\"]\n  32 -> 39 [size =\"49092608\"]\n  32 -> 40 [size =\"49092608\"]\n  32 -> 42 [size =\"49092608\"]\n  33 [size=\"80347136\", alpha=\"0.18\", expect_size=\"40173568\"] \n  33 -> 36 [size =\"40173568\"]\n  33 -> 37 [size =\"40173568\"]\n  33 -> 38 [size =\"40173568\"]\n  33 -> 41 [size =\"40173568\"]\n  34 [size=\"21098496\", alpha=\"0.12\", expect_size=\"10549248\"] \n  34 -> 36 [size =\"10549248\"]\n  34 -> 38 [size =\"10549248\"]\n  34 -> 40 [size =\"10549248\"]\n  34 -> 41 [size =\"10549248\"]\n  34 -> 42 [size =\"10549248\"]\n  35 [size=\"12492800\", alpha=\"0.08\", expect_size=\"6246400\"] \n  35 -> 43 [size =\"6246400\"]\n  35 -> 46 [size =\"6246400\"]\n  36 [size=\"65587200\", alpha=\"0.05\", expect_size=\"32793600\"] \n  36 -> 43 [size =\"32793600\"]\n  36 -> 46 [size =\"32793600\"]\n  37 [size=\"87902208\", alpha=\"0.17\", expect_size=\"43951104\"] \n  37 -> 45 [size =\"43951104\"]\n  37 -> 47 [size =\"43951104\"]\n  38 [size=\"35434496\", alpha=\"0.00\", expect_size=\"17717248\"] \n  38 -> 47 [size =\"17717248\"]\n  38 -> 49 [size =\"17717248\"]\n  39 [size=\"50460672\", alpha=\"0.02\", expect_size=\"25230336\"] \n  39 -> 44 [size =\"25230336\"]\n  39 -> 45 [size =\"25230336\"]\n  39 -> 46 [size =\"25230336\"]\n  39 -> 47 [size =\"25230336\"]\n  40 [size=\"102213632\", alpha=\"0.04\", expect_size=\"51106816\"] \n  40 -> 43 [size =\"51106816\"]\n  40 -> 46 [size =\"51106816\"]\n  40 -> 47 [size =\"51106816\"]\n  40 -> 48 [size =\"51106816\"]\n  41 [size=\"60712960\", alpha=\"0.00\", expect_size=\"30356480\"] \n  41 -> 43 [size =\"30356480\"]\n  41 -> 44 [size =\"30356480\"]\n  41 -> 47 [size =\"30356480\"]\n  41 -> 49 [size =\"30356480\"]\n  42 [size=\"29577216\", alpha=\"0.02\", expect_size=\"14788608\"] \n  42 -> 43 [size =\"14788608\"]\n  42 -> 44 [size =\"14788608\"]\n  42 -> 45 [size =\"14788608\"]\n  42 -> 46 [size =\"14788608\"]\n  42 -> 48 [size =\"14788608\"]\n  43 [size=\"33660928\", alpha=\"0.07\", expect_size=\"16830464\"] \n  44 [size=\"24100864\", alpha=\"0.03\", expect_size=\"12050432\"] \n  44 -> 50 [size =\"12050432\"]\n  45 [size=\"82227200\", alpha=\"0.06\", expect_size=\"41113600\"] \n  45 -> 50 [size =\"41113600\"]\n  46 [size=\"25657344\", alpha=\"0.15\", expect_size=\"12828672\"] \n  47 [size=\"49833984\", alpha=\"0.09\", expect_size=\"24916992\"] \n  47 -> 50 [size =\"24916992\"]\n  48 [size=\"33507328\", alpha=\"0.07\", expect_size=\"16753664\"] \n  49 [size=\"33624064\", alpha=\"0.16\", expect_size=\"16812032\"] \n  50 [size=\"44216320\", alpha=\"0.07\", expect_size=\"22108160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.186.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81861120\", alpha=\"0.15\", expect_size=\"32744448\"] \n  1 -> 4 [size =\"32744448\"]\n  1 -> 5 [size =\"32744448\"]\n  1 -> 6 [size =\"32744448\"]\n  2 [size=\"20531200\", alpha=\"0.09\", expect_size=\"8212480\"] \n  2 -> 4 [size =\"8212480\"]\n  2 -> 5 [size =\"8212480\"]\n  2 -> 6 [size =\"8212480\"]\n  3 [size=\"47856640\", alpha=\"0.02\", expect_size=\"19142656\"] \n  3 -> 4 [size =\"19142656\"]\n  3 -> 5 [size =\"19142656\"]\n  3 -> 6 [size =\"19142656\"]\n  4 [size=\"29655040\", alpha=\"0.02\", expect_size=\"11862016\"] \n  4 -> 8 [size =\"11862016\"]\n  4 -> 9 [size =\"11862016\"]\n  5 [size=\"13734400\", alpha=\"0.08\", expect_size=\"5493760\"] \n  5 -> 8 [size =\"5493760\"]\n  5 -> 9 [size =\"5493760\"]\n  6 [size=\"119296000\", alpha=\"0.09\", expect_size=\"47718400\"] \n  6 -> 7 [size =\"47718400\"]\n  6 -> 8 [size =\"47718400\"]\n  6 -> 9 [size =\"47718400\"]\n  7 [size=\"41600000\", alpha=\"0.03\", expect_size=\"16640000\"] \n  7 -> 10 [size =\"16640000\"]\n  7 -> 11 [size =\"16640000\"]\n  8 [size=\"114826240\", alpha=\"0.19\", expect_size=\"45930496\"] \n  8 -> 10 [size =\"45930496\"]\n  8 -> 11 [size =\"45930496\"]\n  9 [size=\"36001280\", alpha=\"0.04\", expect_size=\"14400512\"] \n  9 -> 10 [size =\"14400512\"]\n  9 -> 11 [size =\"14400512\"]\n  10 [size=\"34982400\", alpha=\"0.04\", expect_size=\"13992960\"] \n  10 -> 12 [size =\"13992960\"]\n  11 [size=\"123092480\", alpha=\"0.02\", expect_size=\"49236992\"] \n  11 -> 13 [size =\"49236992\"]\n  12 [size=\"92976640\", alpha=\"0.04\", expect_size=\"37190656\"] \n  12 -> 14 [size =\"37190656\"]\n  12 -> 15 [size =\"37190656\"]\n  12 -> 16 [size =\"37190656\"]\n  13 [size=\"26040320\", alpha=\"0.05\", expect_size=\"10416128\"] \n  13 -> 14 [size =\"10416128\"]\n  13 -> 16 [size =\"10416128\"]\n  14 [size=\"39134720\", alpha=\"0.19\", expect_size=\"15653888\"] \n  14 -> 17 [size =\"15653888\"]\n  14 -> 18 [size =\"15653888\"]\n  15 [size=\"50854400\", alpha=\"0.01\", expect_size=\"20341760\"] \n  15 -> 17 [size =\"20341760\"]\n  15 -> 18 [size =\"20341760\"]\n  16 [size=\"99356160\", alpha=\"0.10\", expect_size=\"39742464\"] \n  16 -> 17 [size =\"39742464\"]\n  16 -> 18 [size =\"39742464\"]\n  17 [size=\"36925440\", alpha=\"0.19\", expect_size=\"14770176\"] \n  17 -> 19 [size =\"14770176\"]\n  17 -> 20 [size =\"14770176\"]\n  18 [size=\"54430720\", alpha=\"0.12\", expect_size=\"21772288\"] \n  18 -> 20 [size =\"21772288\"]\n  19 [size=\"50063360\", alpha=\"0.09\", expect_size=\"20025344\"] \n  19 -> 21 [size =\"20025344\"]\n  19 -> 22 [size =\"20025344\"]\n  20 [size=\"73254400\", alpha=\"0.17\", expect_size=\"29301760\"] \n  20 -> 21 [size =\"29301760\"]\n  21 [size=\"98618880\", alpha=\"0.16\", expect_size=\"39447552\"] \n  21 -> 23 [size =\"39447552\"]\n  21 -> 24 [size =\"39447552\"]\n  22 [size=\"111774720\", alpha=\"0.16\", expect_size=\"44709888\"] \n  22 -> 23 [size =\"44709888\"]\n  23 [size=\"17326080\", alpha=\"0.02\", expect_size=\"6930432\"] \n  23 -> 25 [size =\"6930432\"]\n  23 -> 26 [size =\"6930432\"]\n  24 [size=\"47367680\", alpha=\"0.11\", expect_size=\"18947072\"] \n  24 -> 25 [size =\"18947072\"]\n  24 -> 26 [size =\"18947072\"]\n  24 -> 27 [size =\"18947072\"]\n  25 [size=\"43658240\", alpha=\"0.00\", expect_size=\"17463296\"] \n  25 -> 29 [size =\"17463296\"]\n  25 -> 30 [size =\"17463296\"]\n  26 [size=\"48404480\", alpha=\"0.07\", expect_size=\"19361792\"] \n  26 -> 28 [size =\"19361792\"]\n  26 -> 29 [size =\"19361792\"]\n  26 -> 30 [size =\"19361792\"]\n  27 [size=\"105707520\", alpha=\"0.19\", expect_size=\"42283008\"] \n  27 -> 29 [size =\"42283008\"]\n  27 -> 30 [size =\"42283008\"]\n  28 [size=\"97776640\", alpha=\"0.08\", expect_size=\"39110656\"] \n  28 -> 31 [size =\"39110656\"]\n  28 -> 32 [size =\"39110656\"]\n  29 [size=\"48284160\", alpha=\"0.01\", expect_size=\"19313664\"] \n  29 -> 32 [size =\"19313664\"]\n  30 [size=\"103633920\", alpha=\"0.18\", expect_size=\"41453568\"] \n  30 -> 31 [size =\"41453568\"]\n  30 -> 32 [size =\"41453568\"]\n  31 [size=\"84359680\", alpha=\"0.13\", expect_size=\"33743872\"] \n  31 -> 33 [size =\"33743872\"]\n  31 -> 34 [size =\"33743872\"]\n  31 -> 35 [size =\"33743872\"]\n  32 [size=\"59215360\", alpha=\"0.02\", expect_size=\"23686144\"] \n  32 -> 35 [size =\"23686144\"]\n  33 [size=\"35630080\", alpha=\"0.14\", expect_size=\"14252032\"] \n  33 -> 36 [size =\"14252032\"]\n  34 [size=\"48348160\", alpha=\"0.09\", expect_size=\"19339264\"] \n  34 -> 36 [size =\"19339264\"]\n  34 -> 37 [size =\"19339264\"]\n  35 [size=\"113925120\", alpha=\"0.11\", expect_size=\"45570048\"] \n  35 -> 36 [size =\"45570048\"]\n  36 [size=\"115018240\", alpha=\"0.08\", expect_size=\"46007296\"] \n  36 -> 38 [size =\"46007296\"]\n  36 -> 39 [size =\"46007296\"]\n  37 [size=\"39854080\", alpha=\"0.08\", expect_size=\"15941632\"] \n  37 -> 39 [size =\"15941632\"]\n  38 [size=\"34895360\", alpha=\"0.16\", expect_size=\"13958144\"] \n  38 -> 40 [size =\"13958144\"]\n  38 -> 41 [size =\"13958144\"]\n  39 [size=\"83891200\", alpha=\"0.10\", expect_size=\"33556480\"] \n  39 -> 40 [size =\"33556480\"]\n  40 [size=\"91776000\", alpha=\"0.14\", expect_size=\"36710400\"] \n  40 -> 42 [size =\"36710400\"]\n  40 -> 43 [size =\"36710400\"]\n  40 -> 44 [size =\"36710400\"]\n  41 [size=\"80424960\", alpha=\"0.12\", expect_size=\"32169984\"] \n  41 -> 42 [size =\"32169984\"]\n  41 -> 43 [size =\"32169984\"]\n  42 [size=\"41858560\", alpha=\"0.08\", expect_size=\"16743424\"] \n  42 -> 45 [size =\"16743424\"]\n  42 -> 46 [size =\"16743424\"]\n  43 [size=\"55946240\", alpha=\"0.04\", expect_size=\"22378496\"] \n  43 -> 45 [size =\"22378496\"]\n  43 -> 46 [size =\"22378496\"]\n  44 [size=\"17661440\", alpha=\"0.05\", expect_size=\"7064576\"] \n  44 -> 46 [size =\"7064576\"]\n  45 [size=\"70991360\", alpha=\"0.12\", expect_size=\"28396544\"] \n  45 -> 47 [size =\"28396544\"]\n  45 -> 48 [size =\"28396544\"]\n  46 [size=\"17761280\", alpha=\"0.05\", expect_size=\"7104512\"] \n  46 -> 47 [size =\"7104512\"]\n  46 -> 48 [size =\"7104512\"]\n  47 [size=\"62179840\", alpha=\"0.14\", expect_size=\"24871936\"] \n  47 -> 49 [size =\"24871936\"]\n  47 -> 50 [size =\"24871936\"]\n  48 [size=\"110103040\", alpha=\"0.17\", expect_size=\"44041216\"] \n  48 -> 49 [size =\"44041216\"]\n  48 -> 50 [size =\"44041216\"]\n  49 [size=\"84892160\", alpha=\"0.06\", expect_size=\"33956864\"] \n  50 [size=\"23508480\", alpha=\"0.10\", expect_size=\"9403392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.187.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169823573\", alpha=\"0.04\", expect_size=\"50947072\"] \n  1 -> 29 [size =\"50947072\"]\n  1 -> 30 [size =\"50947072\"]\n  1 -> 33 [size =\"50947072\"]\n  1 -> 36 [size =\"50947072\"]\n  1 -> 44 [size =\"50947072\"]\n  1 -> 47 [size =\"50947072\"]\n  1 -> 48 [size =\"50947072\"]\n  1 -> 49 [size =\"50947072\"]\n  1 -> 50 [size =\"50947072\"]\n  2 [size=\"70055253\", alpha=\"0.13\", expect_size=\"21016576\"] \n  2 -> 34 [size =\"21016576\"]\n  2 -> 36 [size =\"21016576\"]\n  2 -> 39 [size =\"21016576\"]\n  2 -> 47 [size =\"21016576\"]\n  2 -> 48 [size =\"21016576\"]\n  2 -> 49 [size =\"21016576\"]\n  2 -> 50 [size =\"21016576\"]\n  3 [size=\"88183467\", alpha=\"0.14\", expect_size=\"26455040\"] \n  3 -> 30 [size =\"26455040\"]\n  3 -> 38 [size =\"26455040\"]\n  3 -> 44 [size =\"26455040\"]\n  3 -> 48 [size =\"26455040\"]\n  3 -> 48 [size =\"26455040\"]\n  3 -> 49 [size =\"26455040\"]\n  4 [size=\"86835200\", alpha=\"0.18\", expect_size=\"26050560\"] \n  4 -> 30 [size =\"26050560\"]\n  4 -> 35 [size =\"26050560\"]\n  4 -> 37 [size =\"26050560\"]\n  4 -> 38 [size =\"26050560\"]\n  4 -> 39 [size =\"26050560\"]\n  4 -> 40 [size =\"26050560\"]\n  4 -> 43 [size =\"26050560\"]\n  4 -> 49 [size =\"26050560\"]\n  4 -> 50 [size =\"26050560\"]\n  5 [size=\"144967680\", alpha=\"0.02\", expect_size=\"43490304\"] \n  5 -> 36 [size =\"43490304\"]\n  5 -> 37 [size =\"43490304\"]\n  5 -> 47 [size =\"43490304\"]\n  6 [size=\"19739307\", alpha=\"0.17\", expect_size=\"5921792\"] \n  6 -> 30 [size =\"5921792\"]\n  6 -> 34 [size =\"5921792\"]\n  6 -> 36 [size =\"5921792\"]\n  6 -> 38 [size =\"5921792\"]\n  6 -> 45 [size =\"5921792\"]\n  6 -> 49 [size =\"5921792\"]\n  7 [size=\"156654933\", alpha=\"0.16\", expect_size=\"46996480\"] \n  7 -> 32 [size =\"46996480\"]\n  7 -> 36 [size =\"46996480\"]\n  7 -> 37 [size =\"46996480\"]\n  7 -> 44 [size =\"46996480\"]\n  7 -> 47 [size =\"46996480\"]\n  7 -> 48 [size =\"46996480\"]\n  8 [size=\"92753920\", alpha=\"0.11\", expect_size=\"27826176\"] \n  8 -> 35 [size =\"27826176\"]\n  8 -> 37 [size =\"27826176\"]\n  8 -> 38 [size =\"27826176\"]\n  8 -> 42 [size =\"27826176\"]\n  8 -> 49 [size =\"27826176\"]\n  9 [size=\"149906773\", alpha=\"0.15\", expect_size=\"44972032\"] \n  9 -> 35 [size =\"44972032\"]\n  9 -> 38 [size =\"44972032\"]\n  9 -> 39 [size =\"44972032\"]\n  10 [size=\"131734187\", alpha=\"0.02\", expect_size=\"39520256\"] \n  10 -> 33 [size =\"39520256\"]\n  10 -> 35 [size =\"39520256\"]\n  10 -> 37 [size =\"39520256\"]\n  10 -> 45 [size =\"39520256\"]\n  11 [size=\"102164480\", alpha=\"0.12\", expect_size=\"30649344\"] \n  11 -> 33 [size =\"30649344\"]\n  11 -> 35 [size =\"30649344\"]\n  11 -> 38 [size =\"30649344\"]\n  11 -> 48 [size =\"30649344\"]\n  11 -> 49 [size =\"30649344\"]\n  12 [size=\"130007040\", alpha=\"0.14\", expect_size=\"39002112\"] \n  12 -> 30 [size =\"39002112\"]\n  12 -> 39 [size =\"39002112\"]\n  12 -> 45 [size =\"39002112\"]\n  12 -> 48 [size =\"39002112\"]\n  13 [size=\"74386773\", alpha=\"0.07\", expect_size=\"22316032\"] \n  13 -> 34 [size =\"22316032\"]\n  13 -> 35 [size =\"22316032\"]\n  13 -> 39 [size =\"22316032\"]\n  13 -> 40 [size =\"22316032\"]\n  13 -> 45 [size =\"22316032\"]\n  14 [size=\"26071040\", alpha=\"0.17\", expect_size=\"7821312\"] \n  14 -> 35 [size =\"7821312\"]\n  14 -> 38 [size =\"7821312\"]\n  14 -> 48 [size =\"7821312\"]\n  15 [size=\"169813333\", alpha=\"0.11\", expect_size=\"50944000\"] \n  15 -> 34 [size =\"50944000\"]\n  15 -> 35 [size =\"50944000\"]\n  15 -> 38 [size =\"50944000\"]\n  15 -> 44 [size =\"50944000\"]\n  16 [size=\"27006293\", alpha=\"0.18\", expect_size=\"8101888\"] \n  16 -> 29 [size =\"8101888\"]\n  16 -> 35 [size =\"8101888\"]\n  16 -> 36 [size =\"8101888\"]\n  16 -> 37 [size =\"8101888\"]\n  16 -> 40 [size =\"8101888\"]\n  16 -> 47 [size =\"8101888\"]\n  16 -> 49 [size =\"8101888\"]\n  17 [size=\"158627840\", alpha=\"0.12\", expect_size=\"47588352\"] \n  17 -> 29 [size =\"47588352\"]\n  17 -> 34 [size =\"47588352\"]\n  17 -> 35 [size =\"47588352\"]\n  17 -> 36 [size =\"47588352\"]\n  17 -> 37 [size =\"47588352\"]\n  17 -> 46 [size =\"47588352\"]\n  17 -> 49 [size =\"47588352\"]\n  18 [size=\"126580053\", alpha=\"0.12\", expect_size=\"37974016\"] \n  18 -> 34 [size =\"37974016\"]\n  18 -> 39 [size =\"37974016\"]\n  18 -> 50 [size =\"37974016\"]\n  19 [size=\"54213973\", alpha=\"0.16\", expect_size=\"16264192\"] \n  19 -> 32 [size =\"16264192\"]\n  19 -> 35 [size =\"16264192\"]\n  19 -> 37 [size =\"16264192\"]\n  19 -> 40 [size =\"16264192\"]\n  19 -> 43 [size =\"16264192\"]\n  19 -> 44 [size =\"16264192\"]\n  19 -> 45 [size =\"16264192\"]\n  19 -> 48 [size =\"16264192\"]\n  19 -> 49 [size =\"16264192\"]\n  20 [size=\"169526613\", alpha=\"0.03\", expect_size=\"50857984\"] \n  20 -> 29 [size =\"50857984\"]\n  20 -> 33 [size =\"50857984\"]\n  20 -> 34 [size =\"50857984\"]\n  20 -> 36 [size =\"50857984\"]\n  20 -> 45 [size =\"50857984\"]\n  20 -> 47 [size =\"50857984\"]\n  21 [size=\"29163520\", alpha=\"0.10\", expect_size=\"8749056\"] \n  21 -> 29 [size =\"8749056\"]\n  21 -> 31 [size =\"8749056\"]\n  21 -> 34 [size =\"8749056\"]\n  21 -> 37 [size =\"8749056\"]\n  21 -> 43 [size =\"8749056\"]\n  22 [size=\"124265813\", alpha=\"0.03\", expect_size=\"37279744\"] \n  22 -> 33 [size =\"37279744\"]\n  22 -> 34 [size =\"37279744\"]\n  22 -> 36 [size =\"37279744\"]\n  22 -> 44 [size =\"37279744\"]\n  22 -> 47 [size =\"37279744\"]\n  22 -> 48 [size =\"37279744\"]\n  23 [size=\"76997973\", alpha=\"0.05\", expect_size=\"23099392\"] \n  23 -> 29 [size =\"23099392\"]\n  23 -> 36 [size =\"23099392\"]\n  23 -> 37 [size =\"23099392\"]\n  23 -> 38 [size =\"23099392\"]\n  23 -> 39 [size =\"23099392\"]\n  23 -> 44 [size =\"23099392\"]\n  23 -> 48 [size =\"23099392\"]\n  24 [size=\"135038293\", alpha=\"0.17\", expect_size=\"40511488\"] \n  24 -> 34 [size =\"40511488\"]\n  24 -> 35 [size =\"40511488\"]\n  24 -> 41 [size =\"40511488\"]\n  24 -> 44 [size =\"40511488\"]\n  24 -> 47 [size =\"40511488\"]\n  25 [size=\"114715307\", alpha=\"0.04\", expect_size=\"34414592\"] \n  25 -> 29 [size =\"34414592\"]\n  25 -> 33 [size =\"34414592\"]\n  25 -> 34 [size =\"34414592\"]\n  25 -> 35 [size =\"34414592\"]\n  25 -> 42 [size =\"34414592\"]\n  25 -> 43 [size =\"34414592\"]\n  25 -> 46 [size =\"34414592\"]\n  25 -> 50 [size =\"34414592\"]\n  26 [size=\"40683520\", alpha=\"0.12\", expect_size=\"12205056\"] \n  26 -> 34 [size =\"12205056\"]\n  26 -> 39 [size =\"12205056\"]\n  26 -> 40 [size =\"12205056\"]\n  26 -> 43 [size =\"12205056\"]\n  26 -> 46 [size =\"12205056\"]\n  27 [size=\"23732907\", alpha=\"0.17\", expect_size=\"7119872\"] \n  28 [size=\"115090773\", alpha=\"0.12\", expect_size=\"34527232\"] \n  28 -> 35 [size =\"34527232\"]\n  28 -> 39 [size =\"34527232\"]\n  28 -> 48 [size =\"34527232\"]\n  28 -> 49 [size =\"34527232\"]\n  28 -> 50 [size =\"34527232\"]\n  29 [size=\"52118187\", alpha=\"0.04\", expect_size=\"15635456\"] \n  30 [size=\"17657173\", alpha=\"0.10\", expect_size=\"5297152\"] \n  31 [size=\"40878080\", alpha=\"0.07\", expect_size=\"12263424\"] \n  32 [size=\"116841813\", alpha=\"0.19\", expect_size=\"35052544\"] \n  33 [size=\"140840960\", alpha=\"0.17\", expect_size=\"42252288\"] \n  34 [size=\"26299733\", alpha=\"0.17\", expect_size=\"7889920\"] \n  35 [size=\"157149867\", alpha=\"0.16\", expect_size=\"47144960\"] \n  36 [size=\"31740587\", alpha=\"0.17\", expect_size=\"9522176\"] \n  37 [size=\"124194133\", alpha=\"0.15\", expect_size=\"37258240\"] \n  38 [size=\"101829973\", alpha=\"0.07\", expect_size=\"30548992\"] \n  39 [size=\"39932587\", alpha=\"0.04\", expect_size=\"11979776\"] \n  40 [size=\"70932480\", alpha=\"0.00\", expect_size=\"21279744\"] \n  41 [size=\"151801173\", alpha=\"0.18\", expect_size=\"45540352\"] \n  42 [size=\"52660907\", alpha=\"0.09\", expect_size=\"15798272\"] \n  43 [size=\"43328853\", alpha=\"0.08\", expect_size=\"12998656\"] \n  44 [size=\"23429120\", alpha=\"0.02\", expect_size=\"7028736\"] \n  45 [size=\"158842880\", alpha=\"0.08\", expect_size=\"47652864\"] \n  46 [size=\"130054827\", alpha=\"0.17\", expect_size=\"39016448\"] \n  47 [size=\"103881387\", alpha=\"0.07\", expect_size=\"31164416\"] \n  48 [size=\"64187733\", alpha=\"0.09\", expect_size=\"19256320\"] \n  49 [size=\"120081067\", alpha=\"0.15\", expect_size=\"36024320\"] \n  50 [size=\"151012693\", alpha=\"0.02\", expect_size=\"45303808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.188.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89731072\", alpha=\"0.05\", expect_size=\"44865536\"] \n  1 -> 5 [size =\"44865536\"]\n  1 -> 6 [size =\"44865536\"]\n  1 -> 7 [size =\"44865536\"]\n  1 -> 8 [size =\"44865536\"]\n  1 -> 9 [size =\"44865536\"]\n  1 -> 10 [size =\"44865536\"]\n  2 [size=\"86507520\", alpha=\"0.06\", expect_size=\"43253760\"] \n  2 -> 5 [size =\"43253760\"]\n  2 -> 6 [size =\"43253760\"]\n  2 -> 7 [size =\"43253760\"]\n  2 -> 8 [size =\"43253760\"]\n  2 -> 9 [size =\"43253760\"]\n  2 -> 10 [size =\"43253760\"]\n  3 [size=\"65157120\", alpha=\"0.01\", expect_size=\"32578560\"] \n  3 -> 5 [size =\"32578560\"]\n  3 -> 6 [size =\"32578560\"]\n  3 -> 7 [size =\"32578560\"]\n  3 -> 8 [size =\"32578560\"]\n  3 -> 9 [size =\"32578560\"]\n  3 -> 10 [size =\"32578560\"]\n  3 -> 11 [size =\"32578560\"]\n  4 [size=\"34226176\", alpha=\"0.01\", expect_size=\"17113088\"] \n  4 -> 5 [size =\"17113088\"]\n  4 -> 8 [size =\"17113088\"]\n  4 -> 9 [size =\"17113088\"]\n  4 -> 10 [size =\"17113088\"]\n  5 [size=\"85997568\", alpha=\"0.05\", expect_size=\"42998784\"] \n  5 -> 14 [size =\"42998784\"]\n  5 -> 16 [size =\"42998784\"]\n  6 [size=\"103174144\", alpha=\"0.05\", expect_size=\"51587072\"] \n  6 -> 14 [size =\"51587072\"]\n  6 -> 15 [size =\"51587072\"]\n  6 -> 16 [size =\"51587072\"]\n  6 -> 17 [size =\"51587072\"]\n  7 [size=\"65024000\", alpha=\"0.17\", expect_size=\"32512000\"] \n  7 -> 15 [size =\"32512000\"]\n  7 -> 16 [size =\"32512000\"]\n  7 -> 17 [size =\"32512000\"]\n  7 -> 17 [size =\"32512000\"]\n  8 [size=\"67700736\", alpha=\"0.10\", expect_size=\"33850368\"] \n  8 -> 12 [size =\"33850368\"]\n  8 -> 16 [size =\"33850368\"]\n  8 -> 18 [size =\"33850368\"]\n  9 [size=\"27705344\", alpha=\"0.11\", expect_size=\"13852672\"] \n  9 -> 16 [size =\"13852672\"]\n  9 -> 17 [size =\"13852672\"]\n  9 -> 18 [size =\"13852672\"]\n  10 [size=\"101208064\", alpha=\"0.16\", expect_size=\"50604032\"] \n  10 -> 12 [size =\"50604032\"]\n  10 -> 15 [size =\"50604032\"]\n  10 -> 16 [size =\"50604032\"]\n  11 [size=\"60084224\", alpha=\"0.00\", expect_size=\"30042112\"] \n  11 -> 12 [size =\"30042112\"]\n  11 -> 13 [size =\"30042112\"]\n  11 -> 15 [size =\"30042112\"]\n  11 -> 16 [size =\"30042112\"]\n  12 [size=\"85510144\", alpha=\"0.11\", expect_size=\"42755072\"] \n  12 -> 21 [size =\"42755072\"]\n  12 -> 22 [size =\"42755072\"]\n  13 [size=\"19408896\", alpha=\"0.20\", expect_size=\"9704448\"] \n  13 -> 21 [size =\"9704448\"]\n  13 -> 22 [size =\"9704448\"]\n  14 [size=\"24125440\", alpha=\"0.03\", expect_size=\"12062720\"] \n  14 -> 20 [size =\"12062720\"]\n  14 -> 21 [size =\"12062720\"]\n  15 [size=\"27727872\", alpha=\"0.17\", expect_size=\"13863936\"] \n  15 -> 21 [size =\"13863936\"]\n  15 -> 21 [size =\"13863936\"]\n  16 [size=\"49549312\", alpha=\"0.17\", expect_size=\"24774656\"] \n  16 -> 20 [size =\"24774656\"]\n  16 -> 22 [size =\"24774656\"]\n  17 [size=\"75399168\", alpha=\"0.06\", expect_size=\"37699584\"] \n  17 -> 19 [size =\"37699584\"]\n  17 -> 20 [size =\"37699584\"]\n  17 -> 22 [size =\"37699584\"]\n  18 [size=\"63023104\", alpha=\"0.16\", expect_size=\"31511552\"] \n  18 -> 21 [size =\"31511552\"]\n  18 -> 22 [size =\"31511552\"]\n  19 [size=\"16746496\", alpha=\"0.09\", expect_size=\"8373248\"] \n  19 -> 23 [size =\"8373248\"]\n  19 -> 24 [size =\"8373248\"]\n  20 [size=\"69373952\", alpha=\"0.09\", expect_size=\"34686976\"] \n  20 -> 23 [size =\"34686976\"]\n  20 -> 24 [size =\"34686976\"]\n  20 -> 25 [size =\"34686976\"]\n  21 [size=\"50251776\", alpha=\"0.05\", expect_size=\"25125888\"] \n  21 -> 23 [size =\"25125888\"]\n  21 -> 24 [size =\"25125888\"]\n  21 -> 25 [size =\"25125888\"]\n  22 [size=\"51458048\", alpha=\"0.17\", expect_size=\"25729024\"] \n  22 -> 23 [size =\"25729024\"]\n  22 -> 24 [size =\"25729024\"]\n  23 [size=\"101877760\", alpha=\"0.01\", expect_size=\"50938880\"] \n  23 -> 26 [size =\"50938880\"]\n  23 -> 28 [size =\"50938880\"]\n  23 -> 29 [size =\"50938880\"]\n  23 -> 30 [size =\"50938880\"]\n  23 -> 31 [size =\"50938880\"]\n  23 -> 32 [size =\"50938880\"]\n  23 -> 32 [size =\"50938880\"]\n  23 -> 33 [size =\"50938880\"]\n  24 [size=\"101308416\", alpha=\"0.10\", expect_size=\"50654208\"] \n  24 -> 26 [size =\"50654208\"]\n  24 -> 27 [size =\"50654208\"]\n  24 -> 28 [size =\"50654208\"]\n  24 -> 29 [size =\"50654208\"]\n  24 -> 30 [size =\"50654208\"]\n  24 -> 31 [size =\"50654208\"]\n  24 -> 33 [size =\"50654208\"]\n  25 [size=\"21970944\", alpha=\"0.15\", expect_size=\"10985472\"] \n  25 -> 26 [size =\"10985472\"]\n  25 -> 27 [size =\"10985472\"]\n  25 -> 28 [size =\"10985472\"]\n  25 -> 29 [size =\"10985472\"]\n  25 -> 30 [size =\"10985472\"]\n  25 -> 31 [size =\"10985472\"]\n  25 -> 32 [size =\"10985472\"]\n  25 -> 33 [size =\"10985472\"]\n  26 [size=\"103741440\", alpha=\"0.20\", expect_size=\"51870720\"] \n  26 -> 34 [size =\"51870720\"]\n  26 -> 35 [size =\"51870720\"]\n  26 -> 37 [size =\"51870720\"]\n  26 -> 38 [size =\"51870720\"]\n  27 [size=\"91537408\", alpha=\"0.16\", expect_size=\"45768704\"] \n  27 -> 34 [size =\"45768704\"]\n  27 -> 36 [size =\"45768704\"]\n  27 -> 37 [size =\"45768704\"]\n  27 -> 38 [size =\"45768704\"]\n  28 [size=\"25014272\", alpha=\"0.04\", expect_size=\"12507136\"] \n  28 -> 35 [size =\"12507136\"]\n  28 -> 38 [size =\"12507136\"]\n  29 [size=\"101562368\", alpha=\"0.16\", expect_size=\"50781184\"] \n  29 -> 37 [size =\"50781184\"]\n  29 -> 38 [size =\"50781184\"]\n  30 [size=\"51075072\", alpha=\"0.07\", expect_size=\"25537536\"] \n  30 -> 34 [size =\"25537536\"]\n  30 -> 35 [size =\"25537536\"]\n  30 -> 37 [size =\"25537536\"]\n  31 [size=\"92260352\", alpha=\"0.09\", expect_size=\"46130176\"] \n  31 -> 35 [size =\"46130176\"]\n  31 -> 37 [size =\"46130176\"]\n  31 -> 37 [size =\"46130176\"]\n  31 -> 38 [size =\"46130176\"]\n  32 [size=\"21250048\", alpha=\"0.06\", expect_size=\"10625024\"] \n  32 -> 34 [size =\"10625024\"]\n  32 -> 35 [size =\"10625024\"]\n  32 -> 38 [size =\"10625024\"]\n  33 [size=\"102805504\", alpha=\"0.06\", expect_size=\"51402752\"] \n  33 -> 34 [size =\"51402752\"]\n  33 -> 35 [size =\"51402752\"]\n  33 -> 36 [size =\"51402752\"]\n  33 -> 38 [size =\"51402752\"]\n  34 [size=\"14118912\", alpha=\"0.08\", expect_size=\"7059456\"] \n  34 -> 41 [size =\"7059456\"]\n  35 [size=\"62042112\", alpha=\"0.14\", expect_size=\"31021056\"] \n  35 -> 39 [size =\"31021056\"]\n  35 -> 41 [size =\"31021056\"]\n  35 -> 42 [size =\"31021056\"]\n  36 [size=\"38975488\", alpha=\"0.09\", expect_size=\"19487744\"] \n  36 -> 39 [size =\"19487744\"]\n  36 -> 40 [size =\"19487744\"]\n  36 -> 41 [size =\"19487744\"]\n  36 -> 42 [size =\"19487744\"]\n  36 -> 43 [size =\"19487744\"]\n  37 [size=\"37607424\", alpha=\"0.17\", expect_size=\"18803712\"] \n  37 -> 39 [size =\"18803712\"]\n  37 -> 40 [size =\"18803712\"]\n  37 -> 41 [size =\"18803712\"]\n  37 -> 42 [size =\"18803712\"]\n  37 -> 43 [size =\"18803712\"]\n  38 [size=\"18106368\", alpha=\"0.16\", expect_size=\"9053184\"] \n  38 -> 39 [size =\"9053184\"]\n  38 -> 41 [size =\"9053184\"]\n  38 -> 42 [size =\"9053184\"]\n  38 -> 42 [size =\"9053184\"]\n  39 [size=\"37683200\", alpha=\"0.16\", expect_size=\"18841600\"] \n  39 -> 44 [size =\"18841600\"]\n  39 -> 45 [size =\"18841600\"]\n  39 -> 46 [size =\"18841600\"]\n  39 -> 47 [size =\"18841600\"]\n  40 [size=\"19189760\", alpha=\"0.09\", expect_size=\"9594880\"] \n  40 -> 44 [size =\"9594880\"]\n  40 -> 46 [size =\"9594880\"]\n  40 -> 47 [size =\"9594880\"]\n  40 -> 48 [size =\"9594880\"]\n  40 -> 49 [size =\"9594880\"]\n  41 [size=\"53348352\", alpha=\"0.11\", expect_size=\"26674176\"] \n  41 -> 44 [size =\"26674176\"]\n  41 -> 45 [size =\"26674176\"]\n  41 -> 46 [size =\"26674176\"]\n  41 -> 48 [size =\"26674176\"]\n  41 -> 50 [size =\"26674176\"]\n  42 [size=\"95387648\", alpha=\"0.01\", expect_size=\"47693824\"] \n  42 -> 44 [size =\"47693824\"]\n  42 -> 45 [size =\"47693824\"]\n  42 -> 48 [size =\"47693824\"]\n  42 -> 50 [size =\"47693824\"]\n  43 [size=\"31590400\", alpha=\"0.10\", expect_size=\"15795200\"] \n  43 -> 44 [size =\"15795200\"]\n  43 -> 46 [size =\"15795200\"]\n  43 -> 47 [size =\"15795200\"]\n  43 -> 48 [size =\"15795200\"]\n  44 [size=\"59623424\", alpha=\"0.19\", expect_size=\"29811712\"] \n  45 [size=\"98754560\", alpha=\"0.10\", expect_size=\"49377280\"] \n  46 [size=\"71856128\", alpha=\"0.01\", expect_size=\"35928064\"] \n  47 [size=\"17991680\", alpha=\"0.09\", expect_size=\"8995840\"] \n  48 [size=\"96448512\", alpha=\"0.00\", expect_size=\"48224256\"] \n  49 [size=\"76648448\", alpha=\"0.11\", expect_size=\"38324224\"] \n  50 [size=\"59226112\", alpha=\"0.10\", expect_size=\"29613056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.189.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93681664\", alpha=\"0.18\", expect_size=\"46840832\"] \n  1 -> 2 [size =\"46840832\"]\n  2 [size=\"57384960\", alpha=\"0.07\", expect_size=\"28692480\"] \n  2 -> 3 [size =\"28692480\"]\n  3 [size=\"54206464\", alpha=\"0.07\", expect_size=\"27103232\"] \n  3 -> 4 [size =\"27103232\"]\n  4 [size=\"17776640\", alpha=\"0.03\", expect_size=\"8888320\"] \n  4 -> 5 [size =\"8888320\"]\n  5 [size=\"57749504\", alpha=\"0.04\", expect_size=\"28874752\"] \n  5 -> 6 [size =\"28874752\"]\n  6 [size=\"76902400\", alpha=\"0.09\", expect_size=\"38451200\"] \n  6 -> 7 [size =\"38451200\"]\n  7 [size=\"52746240\", alpha=\"0.07\", expect_size=\"26373120\"] \n  7 -> 8 [size =\"26373120\"]\n  8 [size=\"29603840\", alpha=\"0.17\", expect_size=\"14801920\"] \n  8 -> 9 [size =\"14801920\"]\n  9 [size=\"16844800\", alpha=\"0.03\", expect_size=\"8422400\"] \n  9 -> 10 [size =\"8422400\"]\n  10 [size=\"51326976\", alpha=\"0.10\", expect_size=\"25663488\"] \n  10 -> 11 [size =\"25663488\"]\n  11 [size=\"51849216\", alpha=\"0.11\", expect_size=\"25924608\"] \n  11 -> 12 [size =\"25924608\"]\n  12 [size=\"43958272\", alpha=\"0.11\", expect_size=\"21979136\"] \n  12 -> 13 [size =\"21979136\"]\n  13 [size=\"77930496\", alpha=\"0.06\", expect_size=\"38965248\"] \n  13 -> 14 [size =\"38965248\"]\n  14 [size=\"14790656\", alpha=\"0.20\", expect_size=\"7395328\"] \n  14 -> 15 [size =\"7395328\"]\n  15 [size=\"30932992\", alpha=\"0.03\", expect_size=\"15466496\"] \n  15 -> 16 [size =\"15466496\"]\n  16 [size=\"49061888\", alpha=\"0.03\", expect_size=\"24530944\"] \n  16 -> 17 [size =\"24530944\"]\n  17 [size=\"89917440\", alpha=\"0.08\", expect_size=\"44958720\"] \n  17 -> 18 [size =\"44958720\"]\n  18 [size=\"28385280\", alpha=\"0.12\", expect_size=\"14192640\"] \n  18 -> 19 [size =\"14192640\"]\n  19 [size=\"14700544\", alpha=\"0.07\", expect_size=\"7350272\"] \n  19 -> 20 [size =\"7350272\"]\n  20 [size=\"28217344\", alpha=\"0.20\", expect_size=\"14108672\"] \n  20 -> 21 [size =\"14108672\"]\n  21 [size=\"76163072\", alpha=\"0.10\", expect_size=\"38081536\"] \n  21 -> 22 [size =\"38081536\"]\n  22 [size=\"34037760\", alpha=\"0.11\", expect_size=\"17018880\"] \n  22 -> 23 [size =\"17018880\"]\n  23 [size=\"87834624\", alpha=\"0.00\", expect_size=\"43917312\"] \n  23 -> 24 [size =\"43917312\"]\n  24 [size=\"19615744\", alpha=\"0.12\", expect_size=\"9807872\"] \n  24 -> 25 [size =\"9807872\"]\n  25 [size=\"17496064\", alpha=\"0.13\", expect_size=\"8748032\"] \n  25 -> 26 [size =\"8748032\"]\n  26 [size=\"30529536\", alpha=\"0.08\", expect_size=\"15264768\"] \n  26 -> 27 [size =\"15264768\"]\n  27 [size=\"47026176\", alpha=\"0.12\", expect_size=\"23513088\"] \n  27 -> 28 [size =\"23513088\"]\n  28 [size=\"86435840\", alpha=\"0.01\", expect_size=\"43217920\"] \n  28 -> 29 [size =\"43217920\"]\n  29 [size=\"48799744\", alpha=\"0.10\", expect_size=\"24399872\"] \n  29 -> 30 [size =\"24399872\"]\n  30 [size=\"81956864\", alpha=\"0.09\", expect_size=\"40978432\"] \n  30 -> 31 [size =\"40978432\"]\n  31 [size=\"81225728\", alpha=\"0.16\", expect_size=\"40612864\"] \n  31 -> 32 [size =\"40612864\"]\n  32 [size=\"35434496\", alpha=\"0.10\", expect_size=\"17717248\"] \n  32 -> 33 [size =\"17717248\"]\n  33 [size=\"85852160\", alpha=\"0.18\", expect_size=\"42926080\"] \n  33 -> 34 [size =\"42926080\"]\n  34 [size=\"87457792\", alpha=\"0.08\", expect_size=\"43728896\"] \n  34 -> 35 [size =\"43728896\"]\n  35 [size=\"47542272\", alpha=\"0.01\", expect_size=\"23771136\"] \n  35 -> 36 [size =\"23771136\"]\n  36 [size=\"13373440\", alpha=\"0.03\", expect_size=\"6686720\"] \n  36 -> 37 [size =\"6686720\"]\n  37 [size=\"51365888\", alpha=\"0.02\", expect_size=\"25682944\"] \n  37 -> 38 [size =\"25682944\"]\n  38 [size=\"15040512\", alpha=\"0.04\", expect_size=\"7520256\"] \n  38 -> 39 [size =\"7520256\"]\n  39 [size=\"17887232\", alpha=\"0.08\", expect_size=\"8943616\"] \n  39 -> 40 [size =\"8943616\"]\n  40 [size=\"66265088\", alpha=\"0.15\", expect_size=\"33132544\"] \n  40 -> 41 [size =\"33132544\"]\n  41 [size=\"12275712\", alpha=\"0.16\", expect_size=\"6137856\"] \n  41 -> 42 [size =\"6137856\"]\n  42 [size=\"86024192\", alpha=\"0.02\", expect_size=\"43012096\"] \n  42 -> 43 [size =\"43012096\"]\n  43 [size=\"37873664\", alpha=\"0.05\", expect_size=\"18936832\"] \n  43 -> 44 [size =\"18936832\"]\n  44 [size=\"29636608\", alpha=\"0.09\", expect_size=\"14818304\"] \n  44 -> 45 [size =\"14818304\"]\n  45 [size=\"65622016\", alpha=\"0.15\", expect_size=\"32811008\"] \n  45 -> 46 [size =\"32811008\"]\n  46 [size=\"71905280\", alpha=\"0.05\", expect_size=\"35952640\"] \n  46 -> 47 [size =\"35952640\"]\n  47 [size=\"87064576\", alpha=\"0.03\", expect_size=\"43532288\"] \n  47 -> 48 [size =\"43532288\"]\n  48 [size=\"96159744\", alpha=\"0.17\", expect_size=\"48079872\"] \n  48 -> 49 [size =\"48079872\"]\n  49 [size=\"22722560\", alpha=\"0.19\", expect_size=\"11361280\"] \n  49 -> 50 [size =\"11361280\"]\n  50 [size=\"59711488\", alpha=\"0.16\", expect_size=\"29855744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31303680\", alpha=\"0.10\", expect_size=\"9391104\"] \n  1 -> 6 [size =\"9391104\"]\n  1 -> 7 [size =\"9391104\"]\n  1 -> 9 [size =\"9391104\"]\n  1 -> 11 [size =\"9391104\"]\n  2 [size=\"80534187\", alpha=\"0.06\", expect_size=\"24160256\"] \n  2 -> 6 [size =\"24160256\"]\n  2 -> 7 [size =\"24160256\"]\n  2 -> 9 [size =\"24160256\"]\n  2 -> 11 [size =\"24160256\"]\n  3 [size=\"122767360\", alpha=\"0.07\", expect_size=\"36830208\"] \n  3 -> 7 [size =\"36830208\"]\n  3 -> 8 [size =\"36830208\"]\n  3 -> 9 [size =\"36830208\"]\n  3 -> 10 [size =\"36830208\"]\n  3 -> 11 [size =\"36830208\"]\n  4 [size=\"43840853\", alpha=\"0.06\", expect_size=\"13152256\"] \n  4 -> 6 [size =\"13152256\"]\n  4 -> 11 [size =\"13152256\"]\n  5 [size=\"62487893\", alpha=\"0.17\", expect_size=\"18746368\"] \n  5 -> 6 [size =\"18746368\"]\n  5 -> 7 [size =\"18746368\"]\n  5 -> 8 [size =\"18746368\"]\n  5 -> 9 [size =\"18746368\"]\n  6 [size=\"65037653\", alpha=\"0.01\", expect_size=\"19511296\"] \n  6 -> 13 [size =\"19511296\"]\n  6 -> 14 [size =\"19511296\"]\n  6 -> 17 [size =\"19511296\"]\n  7 [size=\"21828267\", alpha=\"0.05\", expect_size=\"6548480\"] \n  7 -> 12 [size =\"6548480\"]\n  7 -> 13 [size =\"6548480\"]\n  7 -> 14 [size =\"6548480\"]\n  8 [size=\"100792320\", alpha=\"0.05\", expect_size=\"30237696\"] \n  8 -> 12 [size =\"30237696\"]\n  8 -> 13 [size =\"30237696\"]\n  8 -> 14 [size =\"30237696\"]\n  8 -> 15 [size =\"30237696\"]\n  8 -> 18 [size =\"30237696\"]\n  9 [size=\"159115947\", alpha=\"0.19\", expect_size=\"47734784\"] \n  9 -> 12 [size =\"47734784\"]\n  9 -> 13 [size =\"47734784\"]\n  9 -> 14 [size =\"47734784\"]\n  9 -> 17 [size =\"47734784\"]\n  9 -> 18 [size =\"47734784\"]\n  10 [size=\"19496960\", alpha=\"0.06\", expect_size=\"5849088\"] \n  10 -> 14 [size =\"5849088\"]\n  10 -> 17 [size =\"5849088\"]\n  11 [size=\"73574400\", alpha=\"0.13\", expect_size=\"22072320\"] \n  11 -> 12 [size =\"22072320\"]\n  11 -> 13 [size =\"22072320\"]\n  11 -> 14 [size =\"22072320\"]\n  11 -> 16 [size =\"22072320\"]\n  12 [size=\"149005653\", alpha=\"0.04\", expect_size=\"44701696\"] \n  12 -> 19 [size =\"44701696\"]\n  12 -> 22 [size =\"44701696\"]\n  12 -> 23 [size =\"44701696\"]\n  12 -> 25 [size =\"44701696\"]\n  12 -> 25 [size =\"44701696\"]\n  13 [size=\"41308160\", alpha=\"0.02\", expect_size=\"12392448\"] \n  13 -> 19 [size =\"12392448\"]\n  13 -> 22 [size =\"12392448\"]\n  13 -> 23 [size =\"12392448\"]\n  13 -> 24 [size =\"12392448\"]\n  14 [size=\"95795200\", alpha=\"0.15\", expect_size=\"28738560\"] \n  14 -> 22 [size =\"28738560\"]\n  14 -> 22 [size =\"28738560\"]\n  15 [size=\"143841280\", alpha=\"0.10\", expect_size=\"43152384\"] \n  15 -> 19 [size =\"43152384\"]\n  15 -> 24 [size =\"43152384\"]\n  15 -> 25 [size =\"43152384\"]\n  16 [size=\"116466347\", alpha=\"0.18\", expect_size=\"34939904\"] \n  16 -> 20 [size =\"34939904\"]\n  16 -> 24 [size =\"34939904\"]\n  16 -> 25 [size =\"34939904\"]\n  17 [size=\"124979200\", alpha=\"0.01\", expect_size=\"37493760\"] \n  17 -> 19 [size =\"37493760\"]\n  17 -> 22 [size =\"37493760\"]\n  17 -> 24 [size =\"37493760\"]\n  17 -> 25 [size =\"37493760\"]\n  18 [size=\"163430400\", alpha=\"0.08\", expect_size=\"49029120\"] \n  18 -> 19 [size =\"49029120\"]\n  18 -> 20 [size =\"49029120\"]\n  18 -> 21 [size =\"49029120\"]\n  18 -> 22 [size =\"49029120\"]\n  18 -> 25 [size =\"49029120\"]\n  19 [size=\"48786773\", alpha=\"0.07\", expect_size=\"14636032\"] \n  19 -> 26 [size =\"14636032\"]\n  19 -> 27 [size =\"14636032\"]\n  19 -> 29 [size =\"14636032\"]\n  19 -> 30 [size =\"14636032\"]\n  20 [size=\"38242987\", alpha=\"0.01\", expect_size=\"11472896\"] \n  20 -> 27 [size =\"11472896\"]\n  20 -> 28 [size =\"11472896\"]\n  20 -> 29 [size =\"11472896\"]\n  20 -> 30 [size =\"11472896\"]\n  21 [size=\"82698240\", alpha=\"0.16\", expect_size=\"24809472\"] \n  21 -> 26 [size =\"24809472\"]\n  21 -> 27 [size =\"24809472\"]\n  21 -> 29 [size =\"24809472\"]\n  21 -> 30 [size =\"24809472\"]\n  22 [size=\"30057813\", alpha=\"0.20\", expect_size=\"9017344\"] \n  22 -> 27 [size =\"9017344\"]\n  22 -> 30 [size =\"9017344\"]\n  23 [size=\"65058133\", alpha=\"0.17\", expect_size=\"19517440\"] \n  23 -> 26 [size =\"19517440\"]\n  23 -> 28 [size =\"19517440\"]\n  23 -> 30 [size =\"19517440\"]\n  24 [size=\"81397760\", alpha=\"0.17\", expect_size=\"24419328\"] \n  24 -> 29 [size =\"24419328\"]\n  24 -> 30 [size =\"24419328\"]\n  25 [size=\"43001173\", alpha=\"0.03\", expect_size=\"12900352\"] \n  25 -> 26 [size =\"12900352\"]\n  25 -> 27 [size =\"12900352\"]\n  25 -> 29 [size =\"12900352\"]\n  25 -> 30 [size =\"12900352\"]\n  26 [size=\"117807787\", alpha=\"0.15\", expect_size=\"35342336\"] \n  26 -> 32 [size =\"35342336\"]\n  26 -> 35 [size =\"35342336\"]\n  26 -> 37 [size =\"35342336\"]\n  27 [size=\"100300800\", alpha=\"0.08\", expect_size=\"30090240\"] \n  27 -> 32 [size =\"30090240\"]\n  27 -> 34 [size =\"30090240\"]\n  27 -> 36 [size =\"30090240\"]\n  27 -> 37 [size =\"30090240\"]\n  28 [size=\"107694080\", alpha=\"0.11\", expect_size=\"32308224\"] \n  28 -> 31 [size =\"32308224\"]\n  28 -> 32 [size =\"32308224\"]\n  28 -> 33 [size =\"32308224\"]\n  28 -> 35 [size =\"32308224\"]\n  28 -> 37 [size =\"32308224\"]\n  29 [size=\"171694080\", alpha=\"0.13\", expect_size=\"51508224\"] \n  29 -> 33 [size =\"51508224\"]\n  29 -> 34 [size =\"51508224\"]\n  29 -> 37 [size =\"51508224\"]\n  30 [size=\"67833173\", alpha=\"0.14\", expect_size=\"20349952\"] \n  30 -> 32 [size =\"20349952\"]\n  30 -> 37 [size =\"20349952\"]\n  30 -> 38 [size =\"20349952\"]\n  31 [size=\"72888320\", alpha=\"0.03\", expect_size=\"21866496\"] \n  31 -> 40 [size =\"21866496\"]\n  31 -> 40 [size =\"21866496\"]\n  31 -> 41 [size =\"21866496\"]\n  32 [size=\"43400533\", alpha=\"0.08\", expect_size=\"13020160\"] \n  32 -> 39 [size =\"13020160\"]\n  32 -> 40 [size =\"13020160\"]\n  32 -> 41 [size =\"13020160\"]\n  32 -> 42 [size =\"13020160\"]\n  33 [size=\"42424320\", alpha=\"0.17\", expect_size=\"12727296\"] \n  33 -> 40 [size =\"12727296\"]\n  33 -> 40 [size =\"12727296\"]\n  33 -> 41 [size =\"12727296\"]\n  33 -> 44 [size =\"12727296\"]\n  34 [size=\"17974613\", alpha=\"0.15\", expect_size=\"5392384\"] \n  34 -> 41 [size =\"5392384\"]\n  34 -> 43 [size =\"5392384\"]\n  34 -> 44 [size =\"5392384\"]\n  35 [size=\"153698987\", alpha=\"0.10\", expect_size=\"46109696\"] \n  35 -> 39 [size =\"46109696\"]\n  35 -> 40 [size =\"46109696\"]\n  35 -> 41 [size =\"46109696\"]\n  35 -> 42 [size =\"46109696\"]\n  35 -> 44 [size =\"46109696\"]\n  36 [size=\"22749867\", alpha=\"0.17\", expect_size=\"6824960\"] \n  36 -> 39 [size =\"6824960\"]\n  36 -> 40 [size =\"6824960\"]\n  36 -> 41 [size =\"6824960\"]\n  36 -> 42 [size =\"6824960\"]\n  36 -> 44 [size =\"6824960\"]\n  37 [size=\"144554667\", alpha=\"0.18\", expect_size=\"43366400\"] \n  37 -> 41 [size =\"43366400\"]\n  37 -> 42 [size =\"43366400\"]\n  37 -> 44 [size =\"43366400\"]\n  38 [size=\"51602773\", alpha=\"0.17\", expect_size=\"15480832\"] \n  38 -> 39 [size =\"15480832\"]\n  38 -> 40 [size =\"15480832\"]\n  38 -> 41 [size =\"15480832\"]\n  39 [size=\"141783040\", alpha=\"0.00\", expect_size=\"42534912\"] \n  39 -> 45 [size =\"42534912\"]\n  39 -> 48 [size =\"42534912\"]\n  39 -> 49 [size =\"42534912\"]\n  40 [size=\"84879360\", alpha=\"0.06\", expect_size=\"25463808\"] \n  40 -> 45 [size =\"25463808\"]\n  40 -> 48 [size =\"25463808\"]\n  40 -> 49 [size =\"25463808\"]\n  41 [size=\"40198827\", alpha=\"0.00\", expect_size=\"12059648\"] \n  41 -> 48 [size =\"12059648\"]\n  41 -> 50 [size =\"12059648\"]\n  42 [size=\"63842987\", alpha=\"0.16\", expect_size=\"19152896\"] \n  42 -> 45 [size =\"19152896\"]\n  42 -> 47 [size =\"19152896\"]\n  42 -> 48 [size =\"19152896\"]\n  42 -> 50 [size =\"19152896\"]\n  43 [size=\"130054827\", alpha=\"0.18\", expect_size=\"39016448\"] \n  43 -> 48 [size =\"39016448\"]\n  43 -> 49 [size =\"39016448\"]\n  43 -> 50 [size =\"39016448\"]\n  43 -> 50 [size =\"39016448\"]\n  44 [size=\"105383253\", alpha=\"0.08\", expect_size=\"31614976\"] \n  44 -> 45 [size =\"31614976\"]\n  44 -> 46 [size =\"31614976\"]\n  44 -> 49 [size =\"31614976\"]\n  45 [size=\"68147200\", alpha=\"0.01\", expect_size=\"20444160\"] \n  46 [size=\"144711680\", alpha=\"0.07\", expect_size=\"43413504\"] \n  47 [size=\"119497387\", alpha=\"0.04\", expect_size=\"35849216\"] \n  48 [size=\"100007253\", alpha=\"0.12\", expect_size=\"30002176\"] \n  49 [size=\"74909013\", alpha=\"0.19\", expect_size=\"22472704\"] \n  50 [size=\"75523413\", alpha=\"0.13\", expect_size=\"22657024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.190.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84946944\", alpha=\"0.15\", expect_size=\"42473472\"] \n  1 -> 10 [size =\"42473472\"]\n  1 -> 11 [size =\"42473472\"]\n  1 -> 12 [size =\"42473472\"]\n  1 -> 14 [size =\"42473472\"]\n  1 -> 15 [size =\"42473472\"]\n  1 -> 16 [size =\"42473472\"]\n  2 [size=\"50180096\", alpha=\"0.15\", expect_size=\"25090048\"] \n  2 -> 8 [size =\"25090048\"]\n  2 -> 10 [size =\"25090048\"]\n  2 -> 12 [size =\"25090048\"]\n  2 -> 13 [size =\"25090048\"]\n  2 -> 14 [size =\"25090048\"]\n  2 -> 15 [size =\"25090048\"]\n  2 -> 16 [size =\"25090048\"]\n  3 [size=\"36024320\", alpha=\"0.04\", expect_size=\"18012160\"] \n  3 -> 8 [size =\"18012160\"]\n  3 -> 9 [size =\"18012160\"]\n  3 -> 10 [size =\"18012160\"]\n  3 -> 12 [size =\"18012160\"]\n  3 -> 14 [size =\"18012160\"]\n  3 -> 15 [size =\"18012160\"]\n  3 -> 16 [size =\"18012160\"]\n  4 [size=\"21153792\", alpha=\"0.17\", expect_size=\"10576896\"] \n  4 -> 8 [size =\"10576896\"]\n  4 -> 12 [size =\"10576896\"]\n  4 -> 13 [size =\"10576896\"]\n  4 -> 14 [size =\"10576896\"]\n  4 -> 15 [size =\"10576896\"]\n  4 -> 15 [size =\"10576896\"]\n  4 -> 16 [size =\"10576896\"]\n  5 [size=\"89317376\", alpha=\"0.11\", expect_size=\"44658688\"] \n  5 -> 8 [size =\"44658688\"]\n  5 -> 11 [size =\"44658688\"]\n  5 -> 13 [size =\"44658688\"]\n  5 -> 14 [size =\"44658688\"]\n  6 [size=\"31774720\", alpha=\"0.19\", expect_size=\"15887360\"] \n  6 -> 8 [size =\"15887360\"]\n  6 -> 12 [size =\"15887360\"]\n  6 -> 13 [size =\"15887360\"]\n  6 -> 14 [size =\"15887360\"]\n  6 -> 15 [size =\"15887360\"]\n  7 [size=\"22339584\", alpha=\"0.06\", expect_size=\"11169792\"] \n  7 -> 10 [size =\"11169792\"]\n  7 -> 11 [size =\"11169792\"]\n  7 -> 12 [size =\"11169792\"]\n  7 -> 14 [size =\"11169792\"]\n  7 -> 15 [size =\"11169792\"]\n  8 [size=\"70909952\", alpha=\"0.17\", expect_size=\"35454976\"] \n  8 -> 21 [size =\"35454976\"]\n  9 [size=\"51785728\", alpha=\"0.05\", expect_size=\"25892864\"] \n  9 -> 17 [size =\"25892864\"]\n  9 -> 18 [size =\"25892864\"]\n  9 -> 19 [size =\"25892864\"]\n  10 [size=\"31913984\", alpha=\"0.11\", expect_size=\"15956992\"] \n  11 [size=\"24961024\", alpha=\"0.04\", expect_size=\"12480512\"] \n  11 -> 18 [size =\"12480512\"]\n  11 -> 19 [size =\"12480512\"]\n  11 -> 21 [size =\"12480512\"]\n  12 [size=\"96800768\", alpha=\"0.03\", expect_size=\"48400384\"] \n  12 -> 17 [size =\"48400384\"]\n  12 -> 19 [size =\"48400384\"]\n  12 -> 20 [size =\"48400384\"]\n  13 [size=\"72095744\", alpha=\"0.11\", expect_size=\"36047872\"] \n  13 -> 17 [size =\"36047872\"]\n  14 [size=\"90761216\", alpha=\"0.12\", expect_size=\"45380608\"] \n  14 -> 17 [size =\"45380608\"]\n  14 -> 19 [size =\"45380608\"]\n  15 [size=\"74409984\", alpha=\"0.02\", expect_size=\"37204992\"] \n  15 -> 18 [size =\"37204992\"]\n  15 -> 19 [size =\"37204992\"]\n  15 -> 20 [size =\"37204992\"]\n  15 -> 21 [size =\"37204992\"]\n  16 [size=\"30545920\", alpha=\"0.01\", expect_size=\"15272960\"] \n  16 -> 19 [size =\"15272960\"]\n  16 -> 20 [size =\"15272960\"]\n  17 [size=\"25010176\", alpha=\"0.18\", expect_size=\"12505088\"] \n  17 -> 22 [size =\"12505088\"]\n  17 -> 23 [size =\"12505088\"]\n  17 -> 25 [size =\"12505088\"]\n  17 -> 26 [size =\"12505088\"]\n  17 -> 27 [size =\"12505088\"]\n  18 [size=\"55013376\", alpha=\"0.20\", expect_size=\"27506688\"] \n  18 -> 22 [size =\"27506688\"]\n  18 -> 23 [size =\"27506688\"]\n  18 -> 24 [size =\"27506688\"]\n  18 -> 26 [size =\"27506688\"]\n  18 -> 27 [size =\"27506688\"]\n  19 [size=\"40574976\", alpha=\"0.07\", expect_size=\"20287488\"] \n  19 -> 26 [size =\"20287488\"]\n  19 -> 27 [size =\"20287488\"]\n  20 [size=\"66023424\", alpha=\"0.08\", expect_size=\"33011712\"] \n  20 -> 22 [size =\"33011712\"]\n  20 -> 23 [size =\"33011712\"]\n  20 -> 25 [size =\"33011712\"]\n  20 -> 27 [size =\"33011712\"]\n  21 [size=\"22253568\", alpha=\"0.04\", expect_size=\"11126784\"] \n  21 -> 22 [size =\"11126784\"]\n  21 -> 23 [size =\"11126784\"]\n  21 -> 25 [size =\"11126784\"]\n  21 -> 26 [size =\"11126784\"]\n  21 -> 27 [size =\"11126784\"]\n  22 [size=\"43026432\", alpha=\"0.09\", expect_size=\"21513216\"] \n  22 -> 31 [size =\"21513216\"]\n  22 -> 32 [size =\"21513216\"]\n  22 -> 33 [size =\"21513216\"]\n  22 -> 34 [size =\"21513216\"]\n  22 -> 35 [size =\"21513216\"]\n  22 -> 36 [size =\"21513216\"]\n  23 [size=\"55967744\", alpha=\"0.20\", expect_size=\"27983872\"] \n  23 -> 28 [size =\"27983872\"]\n  23 -> 30 [size =\"27983872\"]\n  23 -> 31 [size =\"27983872\"]\n  23 -> 33 [size =\"27983872\"]\n  23 -> 36 [size =\"27983872\"]\n  24 [size=\"14628864\", alpha=\"0.12\", expect_size=\"7314432\"] \n  24 -> 31 [size =\"7314432\"]\n  24 -> 33 [size =\"7314432\"]\n  24 -> 34 [size =\"7314432\"]\n  24 -> 36 [size =\"7314432\"]\n  25 [size=\"70719488\", alpha=\"0.02\", expect_size=\"35359744\"] \n  25 -> 28 [size =\"35359744\"]\n  25 -> 31 [size =\"35359744\"]\n  25 -> 32 [size =\"35359744\"]\n  25 -> 33 [size =\"35359744\"]\n  25 -> 35 [size =\"35359744\"]\n  25 -> 36 [size =\"35359744\"]\n  26 [size=\"82083840\", alpha=\"0.15\", expect_size=\"41041920\"] \n  26 -> 28 [size =\"41041920\"]\n  26 -> 29 [size =\"41041920\"]\n  26 -> 31 [size =\"41041920\"]\n  26 -> 32 [size =\"41041920\"]\n  26 -> 34 [size =\"41041920\"]\n  26 -> 36 [size =\"41041920\"]\n  27 [size=\"85030912\", alpha=\"0.12\", expect_size=\"42515456\"] \n  27 -> 28 [size =\"42515456\"]\n  27 -> 29 [size =\"42515456\"]\n  27 -> 31 [size =\"42515456\"]\n  27 -> 32 [size =\"42515456\"]\n  27 -> 33 [size =\"42515456\"]\n  27 -> 34 [size =\"42515456\"]\n  27 -> 36 [size =\"42515456\"]\n  28 [size=\"75847680\", alpha=\"0.01\", expect_size=\"37923840\"] \n  28 -> 38 [size =\"37923840\"]\n  28 -> 39 [size =\"37923840\"]\n  28 -> 40 [size =\"37923840\"]\n  29 [size=\"74547200\", alpha=\"0.19\", expect_size=\"37273600\"] \n  29 -> 39 [size =\"37273600\"]\n  29 -> 39 [size =\"37273600\"]\n  29 -> 40 [size =\"37273600\"]\n  30 [size=\"13989888\", alpha=\"0.01\", expect_size=\"6994944\"] \n  30 -> 38 [size =\"6994944\"]\n  30 -> 40 [size =\"6994944\"]\n  30 -> 41 [size =\"6994944\"]\n  31 [size=\"51249152\", alpha=\"0.07\", expect_size=\"25624576\"] \n  31 -> 38 [size =\"25624576\"]\n  31 -> 43 [size =\"25624576\"]\n  32 [size=\"72040448\", alpha=\"0.10\", expect_size=\"36020224\"] \n  32 -> 39 [size =\"36020224\"]\n  32 -> 42 [size =\"36020224\"]\n  33 [size=\"21692416\", alpha=\"0.07\", expect_size=\"10846208\"] \n  33 -> 39 [size =\"10846208\"]\n  33 -> 40 [size =\"10846208\"]\n  33 -> 41 [size =\"10846208\"]\n  33 -> 42 [size =\"10846208\"]\n  34 [size=\"20111360\", alpha=\"0.01\", expect_size=\"10055680\"] \n  34 -> 39 [size =\"10055680\"]\n  34 -> 40 [size =\"10055680\"]\n  35 [size=\"77967360\", alpha=\"0.09\", expect_size=\"38983680\"] \n  35 -> 37 [size =\"38983680\"]\n  35 -> 38 [size =\"38983680\"]\n  35 -> 39 [size =\"38983680\"]\n  35 -> 40 [size =\"38983680\"]\n  35 -> 42 [size =\"38983680\"]\n  36 [size=\"85350400\", alpha=\"0.00\", expect_size=\"42675200\"] \n  36 -> 38 [size =\"42675200\"]\n  36 -> 39 [size =\"42675200\"]\n  36 -> 40 [size =\"42675200\"]\n  36 -> 41 [size =\"42675200\"]\n  36 -> 44 [size =\"42675200\"]\n  37 [size=\"63547392\", alpha=\"0.15\", expect_size=\"31773696\"] \n  38 [size=\"24414208\", alpha=\"0.19\", expect_size=\"12207104\"] \n  38 -> 47 [size =\"12207104\"]\n  38 -> 48 [size =\"12207104\"]\n  38 -> 49 [size =\"12207104\"]\n  39 [size=\"28379136\", alpha=\"0.10\", expect_size=\"14189568\"] \n  39 -> 46 [size =\"14189568\"]\n  39 -> 47 [size =\"14189568\"]\n  39 -> 49 [size =\"14189568\"]\n  40 [size=\"22370304\", alpha=\"0.12\", expect_size=\"11185152\"] \n  40 -> 45 [size =\"11185152\"]\n  40 -> 48 [size =\"11185152\"]\n  41 [size=\"27815936\", alpha=\"0.17\", expect_size=\"13907968\"] \n  41 -> 46 [size =\"13907968\"]\n  41 -> 49 [size =\"13907968\"]\n  42 [size=\"59195392\", alpha=\"0.09\", expect_size=\"29597696\"] \n  42 -> 45 [size =\"29597696\"]\n  42 -> 47 [size =\"29597696\"]\n  42 -> 49 [size =\"29597696\"]\n  43 [size=\"14077952\", alpha=\"0.10\", expect_size=\"7038976\"] \n  43 -> 47 [size =\"7038976\"]\n  43 -> 47 [size =\"7038976\"]\n  43 -> 49 [size =\"7038976\"]\n  44 [size=\"48445440\", alpha=\"0.12\", expect_size=\"24222720\"] \n  44 -> 49 [size =\"24222720\"]\n  45 [size=\"53833728\", alpha=\"0.07\", expect_size=\"26916864\"] \n  46 [size=\"94167040\", alpha=\"0.17\", expect_size=\"47083520\"] \n  46 -> 50 [size =\"47083520\"]\n  47 [size=\"95135744\", alpha=\"0.03\", expect_size=\"47567872\"] \n  48 [size=\"71262208\", alpha=\"0.03\", expect_size=\"35631104\"] \n  48 -> 50 [size =\"35631104\"]\n  49 [size=\"67076096\", alpha=\"0.16\", expect_size=\"33538048\"] \n  50 [size=\"18294784\", alpha=\"0.11\", expect_size=\"9147392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.191.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129134080\", alpha=\"0.19\", expect_size=\"51653632\"] \n  1 -> 4 [size =\"51653632\"]\n  1 -> 6 [size =\"51653632\"]\n  2 [size=\"68764160\", alpha=\"0.18\", expect_size=\"27505664\"] \n  2 -> 4 [size =\"27505664\"]\n  3 [size=\"77946880\", alpha=\"0.10\", expect_size=\"31178752\"] \n  3 -> 5 [size =\"31178752\"]\n  3 -> 6 [size =\"31178752\"]\n  4 [size=\"45324800\", alpha=\"0.05\", expect_size=\"18129920\"] \n  4 -> 7 [size =\"18129920\"]\n  4 -> 8 [size =\"18129920\"]\n  5 [size=\"118965760\", alpha=\"0.06\", expect_size=\"47586304\"] \n  5 -> 7 [size =\"47586304\"]\n  6 [size=\"78673920\", alpha=\"0.06\", expect_size=\"31469568\"] \n  7 [size=\"80750080\", alpha=\"0.03\", expect_size=\"32300032\"] \n  7 -> 9 [size =\"32300032\"]\n  8 [size=\"54999040\", alpha=\"0.18\", expect_size=\"21999616\"] \n  9 [size=\"36567040\", alpha=\"0.05\", expect_size=\"14626816\"] \n  9 -> 10 [size =\"14626816\"]\n  9 -> 11 [size =\"14626816\"]\n  9 -> 12 [size =\"14626816\"]\n  10 [size=\"103052800\", alpha=\"0.03\", expect_size=\"41221120\"] \n  10 -> 13 [size =\"41221120\"]\n  11 [size=\"62208000\", alpha=\"0.16\", expect_size=\"24883200\"] \n  12 [size=\"55733760\", alpha=\"0.14\", expect_size=\"22293504\"] \n  12 -> 13 [size =\"22293504\"]\n  13 [size=\"44582400\", alpha=\"0.19\", expect_size=\"17832960\"] \n  13 -> 14 [size =\"17832960\"]\n  13 -> 15 [size =\"17832960\"]\n  13 -> 16 [size =\"17832960\"]\n  13 -> 17 [size =\"17832960\"]\n  14 [size=\"104742400\", alpha=\"0.16\", expect_size=\"41896960\"] \n  14 -> 18 [size =\"41896960\"]\n  15 [size=\"17169920\", alpha=\"0.00\", expect_size=\"6867968\"] \n  16 [size=\"55234560\", alpha=\"0.07\", expect_size=\"22093824\"] \n  17 [size=\"92270080\", alpha=\"0.01\", expect_size=\"36908032\"] \n  18 [size=\"112384000\", alpha=\"0.11\", expect_size=\"44953600\"] \n  18 -> 19 [size =\"44953600\"]\n  18 -> 20 [size =\"44953600\"]\n  19 [size=\"99891200\", alpha=\"0.06\", expect_size=\"39956480\"] \n  19 -> 22 [size =\"39956480\"]\n  19 -> 23 [size =\"39956480\"]\n  19 -> 24 [size =\"39956480\"]\n  20 [size=\"128552960\", alpha=\"0.03\", expect_size=\"51421184\"] \n  20 -> 21 [size =\"51421184\"]\n  21 [size=\"30351360\", alpha=\"0.01\", expect_size=\"12140544\"] \n  21 -> 27 [size =\"12140544\"]\n  22 [size=\"125783040\", alpha=\"0.07\", expect_size=\"50313216\"] \n  22 -> 26 [size =\"50313216\"]\n  23 [size=\"88878080\", alpha=\"0.05\", expect_size=\"35551232\"] \n  23 -> 25 [size =\"35551232\"]\n  23 -> 26 [size =\"35551232\"]\n  24 [size=\"84067840\", alpha=\"0.08\", expect_size=\"33627136\"] \n  24 -> 25 [size =\"33627136\"]\n  25 [size=\"58826240\", alpha=\"0.09\", expect_size=\"23530496\"] \n  25 -> 28 [size =\"23530496\"]\n  25 -> 29 [size =\"23530496\"]\n  26 [size=\"59816960\", alpha=\"0.02\", expect_size=\"23926784\"] \n  27 [size=\"99778560\", alpha=\"0.05\", expect_size=\"39911424\"] \n  27 -> 30 [size =\"39911424\"]\n  28 [size=\"108198400\", alpha=\"0.16\", expect_size=\"43279360\"] \n  28 -> 31 [size =\"43279360\"]\n  28 -> 32 [size =\"43279360\"]\n  28 -> 33 [size =\"43279360\"]\n  29 [size=\"55216640\", alpha=\"0.11\", expect_size=\"22086656\"] \n  30 [size=\"89075200\", alpha=\"0.01\", expect_size=\"35630080\"] \n  30 -> 32 [size =\"35630080\"]\n  31 [size=\"108874240\", alpha=\"0.19\", expect_size=\"43549696\"] \n  31 -> 36 [size =\"43549696\"]\n  32 [size=\"112680960\", alpha=\"0.05\", expect_size=\"45072384\"] \n  32 -> 35 [size =\"45072384\"]\n  32 -> 36 [size =\"45072384\"]\n  33 [size=\"38184960\", alpha=\"0.16\", expect_size=\"15273984\"] \n  33 -> 34 [size =\"15273984\"]\n  33 -> 37 [size =\"15273984\"]\n  34 [size=\"68198400\", alpha=\"0.02\", expect_size=\"27279360\"] \n  34 -> 39 [size =\"27279360\"]\n  35 [size=\"116968960\", alpha=\"0.10\", expect_size=\"46787584\"] \n  36 [size=\"54430720\", alpha=\"0.04\", expect_size=\"21772288\"] \n  36 -> 38 [size =\"21772288\"]\n  36 -> 39 [size =\"21772288\"]\n  37 [size=\"64117760\", alpha=\"0.12\", expect_size=\"25647104\"] \n  38 [size=\"95705600\", alpha=\"0.16\", expect_size=\"38282240\"] \n  39 [size=\"73126400\", alpha=\"0.15\", expect_size=\"29250560\"] \n  39 -> 40 [size =\"29250560\"]\n  39 -> 41 [size =\"29250560\"]\n  40 [size=\"19842560\", alpha=\"0.14\", expect_size=\"7937024\"] \n  40 -> 42 [size =\"7937024\"]\n  41 [size=\"25797120\", alpha=\"0.16\", expect_size=\"10318848\"] \n  41 -> 43 [size =\"10318848\"]\n  41 -> 44 [size =\"10318848\"]\n  42 [size=\"22126080\", alpha=\"0.17\", expect_size=\"8850432\"] \n  43 [size=\"51463680\", alpha=\"0.11\", expect_size=\"20585472\"] \n  44 [size=\"27312640\", alpha=\"0.16\", expect_size=\"10925056\"] \n  44 -> 45 [size =\"10925056\"]\n  45 [size=\"41318400\", alpha=\"0.10\", expect_size=\"16527360\"] \n  45 -> 46 [size =\"16527360\"]\n  45 -> 47 [size =\"16527360\"]\n  45 -> 48 [size =\"16527360\"]\n  45 -> 49 [size =\"16527360\"]\n  46 [size=\"97538560\", alpha=\"0.11\", expect_size=\"39015424\"] \n  46 -> 50 [size =\"39015424\"]\n  47 [size=\"120135680\", alpha=\"0.07\", expect_size=\"48054272\"] \n  48 [size=\"70312960\", alpha=\"0.20\", expect_size=\"28125184\"] \n  49 [size=\"47347200\", alpha=\"0.19\", expect_size=\"18938880\"] \n  49 -> 50 [size =\"18938880\"]\n  50 [size=\"20060160\", alpha=\"0.11\", expect_size=\"8024064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.192.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80498688\", alpha=\"0.04\", expect_size=\"40249344\"] \n  1 -> 5 [size =\"40249344\"]\n  2 [size=\"41455616\", alpha=\"0.09\", expect_size=\"20727808\"] \n  2 -> 4 [size =\"20727808\"]\n  3 [size=\"72079360\", alpha=\"0.08\", expect_size=\"36039680\"] \n  3 -> 6 [size =\"36039680\"]\n  4 [size=\"14919680\", alpha=\"0.07\", expect_size=\"7459840\"] \n  4 -> 8 [size =\"7459840\"]\n  5 [size=\"62042112\", alpha=\"0.07\", expect_size=\"31021056\"] \n  5 -> 7 [size =\"31021056\"]\n  5 -> 8 [size =\"31021056\"]\n  6 [size=\"19380224\", alpha=\"0.20\", expect_size=\"9690112\"] \n  7 [size=\"20451328\", alpha=\"0.06\", expect_size=\"10225664\"] \n  7 -> 11 [size =\"10225664\"]\n  8 [size=\"74121216\", alpha=\"0.04\", expect_size=\"37060608\"] \n  8 -> 9 [size =\"37060608\"]\n  8 -> 10 [size =\"37060608\"]\n  9 [size=\"96550912\", alpha=\"0.13\", expect_size=\"48275456\"] \n  9 -> 13 [size =\"48275456\"]\n  10 [size=\"18307072\", alpha=\"0.02\", expect_size=\"9153536\"] \n  10 -> 13 [size =\"9153536\"]\n  11 [size=\"77355008\", alpha=\"0.09\", expect_size=\"38677504\"] \n  11 -> 12 [size =\"38677504\"]\n  12 [size=\"97275904\", alpha=\"0.06\", expect_size=\"48637952\"] \n  13 [size=\"46860288\", alpha=\"0.00\", expect_size=\"23430144\"] \n  13 -> 14 [size =\"23430144\"]\n  13 -> 15 [size =\"23430144\"]\n  13 -> 16 [size =\"23430144\"]\n  14 [size=\"84301824\", alpha=\"0.13\", expect_size=\"42150912\"] \n  14 -> 17 [size =\"42150912\"]\n  15 [size=\"22611968\", alpha=\"0.20\", expect_size=\"11305984\"] \n  15 -> 18 [size =\"11305984\"]\n  16 [size=\"57681920\", alpha=\"0.11\", expect_size=\"28840960\"] \n  17 [size=\"55576576\", alpha=\"0.13\", expect_size=\"27788288\"] \n  17 -> 20 [size =\"27788288\"]\n  17 -> 21 [size =\"27788288\"]\n  18 [size=\"81641472\", alpha=\"0.15\", expect_size=\"40820736\"] \n  18 -> 19 [size =\"40820736\"]\n  19 [size=\"102467584\", alpha=\"0.02\", expect_size=\"51233792\"] \n  19 -> 22 [size =\"51233792\"]\n  19 -> 23 [size =\"51233792\"]\n  20 [size=\"68853760\", alpha=\"0.05\", expect_size=\"34426880\"] \n  21 [size=\"79847424\", alpha=\"0.04\", expect_size=\"39923712\"] \n  22 [size=\"28991488\", alpha=\"0.08\", expect_size=\"14495744\"] \n  22 -> 24 [size =\"14495744\"]\n  22 -> 26 [size =\"14495744\"]\n  23 [size=\"58943488\", alpha=\"0.06\", expect_size=\"29471744\"] \n  23 -> 25 [size =\"29471744\"]\n  24 [size=\"59181056\", alpha=\"0.05\", expect_size=\"29590528\"] \n  24 -> 28 [size =\"29590528\"]\n  25 [size=\"26097664\", alpha=\"0.14\", expect_size=\"13048832\"] \n  25 -> 27 [size =\"13048832\"]\n  26 [size=\"25954304\", alpha=\"0.06\", expect_size=\"12977152\"] \n  26 -> 27 [size =\"12977152\"]\n  27 [size=\"78530560\", alpha=\"0.20\", expect_size=\"39265280\"] \n  27 -> 30 [size =\"39265280\"]\n  28 [size=\"44292096\", alpha=\"0.07\", expect_size=\"22146048\"] \n  28 -> 29 [size =\"22146048\"]\n  28 -> 31 [size =\"22146048\"]\n  29 [size=\"19589120\", alpha=\"0.12\", expect_size=\"9794560\"] \n  29 -> 32 [size =\"9794560\"]\n  30 [size=\"29147136\", alpha=\"0.19\", expect_size=\"14573568\"] \n  31 [size=\"54472704\", alpha=\"0.00\", expect_size=\"27236352\"] \n  31 -> 33 [size =\"27236352\"]\n  32 [size=\"71206912\", alpha=\"0.00\", expect_size=\"35603456\"] \n  32 -> 35 [size =\"35603456\"]\n  32 -> 36 [size =\"35603456\"]\n  33 [size=\"15949824\", alpha=\"0.07\", expect_size=\"7974912\"] \n  33 -> 34 [size =\"7974912\"]\n  34 [size=\"44668928\", alpha=\"0.10\", expect_size=\"22334464\"] \n  34 -> 37 [size =\"22334464\"]\n  35 [size=\"67426304\", alpha=\"0.16\", expect_size=\"33713152\"] \n  35 -> 38 [size =\"33713152\"]\n  36 [size=\"41408512\", alpha=\"0.11\", expect_size=\"20704256\"] \n  36 -> 38 [size =\"20704256\"]\n  37 [size=\"69885952\", alpha=\"0.17\", expect_size=\"34942976\"] \n  38 [size=\"68448256\", alpha=\"0.17\", expect_size=\"34224128\"] \n  38 -> 39 [size =\"34224128\"]\n  38 -> 40 [size =\"34224128\"]\n  39 [size=\"100734976\", alpha=\"0.16\", expect_size=\"50367488\"] \n  39 -> 41 [size =\"50367488\"]\n  40 [size=\"64069632\", alpha=\"0.08\", expect_size=\"32034816\"] \n  40 -> 42 [size =\"32034816\"]\n  41 [size=\"60647424\", alpha=\"0.15\", expect_size=\"30323712\"] \n  41 -> 43 [size =\"30323712\"]\n  42 [size=\"62961664\", alpha=\"0.06\", expect_size=\"31480832\"] \n  42 -> 44 [size =\"31480832\"]\n  43 [size=\"63434752\", alpha=\"0.07\", expect_size=\"31717376\"] \n  43 -> 46 [size =\"31717376\"]\n  44 [size=\"98441216\", alpha=\"0.18\", expect_size=\"49220608\"] \n  44 -> 45 [size =\"49220608\"]\n  44 -> 47 [size =\"49220608\"]\n  45 [size=\"53055488\", alpha=\"0.13\", expect_size=\"26527744\"] \n  45 -> 48 [size =\"26527744\"]\n  45 -> 49 [size =\"26527744\"]\n  46 [size=\"33775616\", alpha=\"0.10\", expect_size=\"16887808\"] \n  46 -> 49 [size =\"16887808\"]\n  47 [size=\"87799808\", alpha=\"0.03\", expect_size=\"43899904\"] \n  47 -> 48 [size =\"43899904\"]\n  48 [size=\"71475200\", alpha=\"0.02\", expect_size=\"35737600\"] \n  49 [size=\"55957504\", alpha=\"0.03\", expect_size=\"27978752\"] \n  49 -> 50 [size =\"27978752\"]\n  50 [size=\"38860800\", alpha=\"0.09\", expect_size=\"19430400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.193.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35727360\", alpha=\"0.08\", expect_size=\"14290944\"] \n  1 -> 8 [size =\"14290944\"]\n  1 -> 8 [size =\"14290944\"]\n  1 -> 9 [size =\"14290944\"]\n  1 -> 10 [size =\"14290944\"]\n  1 -> 11 [size =\"14290944\"]\n  1 -> 12 [size =\"14290944\"]\n  2 [size=\"51432960\", alpha=\"0.04\", expect_size=\"20573184\"] \n  2 -> 10 [size =\"20573184\"]\n  2 -> 11 [size =\"20573184\"]\n  3 [size=\"93683200\", alpha=\"0.04\", expect_size=\"37473280\"] \n  3 -> 9 [size =\"37473280\"]\n  3 -> 12 [size =\"37473280\"]\n  4 [size=\"94842880\", alpha=\"0.05\", expect_size=\"37937152\"] \n  4 -> 8 [size =\"37937152\"]\n  5 [size=\"113799680\", alpha=\"0.19\", expect_size=\"45519872\"] \n  5 -> 7 [size =\"45519872\"]\n  5 -> 8 [size =\"45519872\"]\n  5 -> 9 [size =\"45519872\"]\n  5 -> 10 [size =\"45519872\"]\n  5 -> 11 [size =\"45519872\"]\n  6 [size=\"47500800\", alpha=\"0.18\", expect_size=\"19000320\"] \n  6 -> 7 [size =\"19000320\"]\n  6 -> 8 [size =\"19000320\"]\n  6 -> 10 [size =\"19000320\"]\n  6 -> 11 [size =\"19000320\"]\n  7 [size=\"77872640\", alpha=\"0.11\", expect_size=\"31149056\"] \n  7 -> 13 [size =\"31149056\"]\n  7 -> 16 [size =\"31149056\"]\n  8 [size=\"46817280\", alpha=\"0.16\", expect_size=\"18726912\"] \n  8 -> 13 [size =\"18726912\"]\n  8 -> 15 [size =\"18726912\"]\n  9 [size=\"59348480\", alpha=\"0.14\", expect_size=\"23739392\"] \n  9 -> 14 [size =\"23739392\"]\n  9 -> 16 [size =\"23739392\"]\n  9 -> 18 [size =\"23739392\"]\n  10 [size=\"117324800\", alpha=\"0.18\", expect_size=\"46929920\"] \n  10 -> 16 [size =\"46929920\"]\n  10 -> 18 [size =\"46929920\"]\n  11 [size=\"73041920\", alpha=\"0.04\", expect_size=\"29216768\"] \n  11 -> 15 [size =\"29216768\"]\n  12 [size=\"119662080\", alpha=\"0.05\", expect_size=\"47864832\"] \n  12 -> 14 [size =\"47864832\"]\n  12 -> 17 [size =\"47864832\"]\n  13 [size=\"28124160\", alpha=\"0.01\", expect_size=\"11249664\"] \n  13 -> 21 [size =\"11249664\"]\n  13 -> 22 [size =\"11249664\"]\n  13 -> 24 [size =\"11249664\"]\n  14 [size=\"52078080\", alpha=\"0.07\", expect_size=\"20831232\"] \n  14 -> 19 [size =\"20831232\"]\n  15 [size=\"84472320\", alpha=\"0.02\", expect_size=\"33788928\"] \n  15 -> 19 [size =\"33788928\"]\n  15 -> 20 [size =\"33788928\"]\n  15 -> 22 [size =\"33788928\"]\n  15 -> 23 [size =\"33788928\"]\n  15 -> 24 [size =\"33788928\"]\n  16 [size=\"79531520\", alpha=\"0.08\", expect_size=\"31812608\"] \n  16 -> 19 [size =\"31812608\"]\n  17 [size=\"66641920\", alpha=\"0.06\", expect_size=\"26656768\"] \n  17 -> 20 [size =\"26656768\"]\n  17 -> 21 [size =\"26656768\"]\n  17 -> 23 [size =\"26656768\"]\n  18 [size=\"129223680\", alpha=\"0.07\", expect_size=\"51689472\"] \n  18 -> 19 [size =\"51689472\"]\n  18 -> 21 [size =\"51689472\"]\n  18 -> 22 [size =\"51689472\"]\n  18 -> 24 [size =\"51689472\"]\n  19 [size=\"106447360\", alpha=\"0.15\", expect_size=\"42578944\"] \n  19 -> 25 [size =\"42578944\"]\n  19 -> 26 [size =\"42578944\"]\n  19 -> 31 [size =\"42578944\"]\n  20 [size=\"71180800\", alpha=\"0.11\", expect_size=\"28472320\"] \n  20 -> 26 [size =\"28472320\"]\n  20 -> 28 [size =\"28472320\"]\n  20 -> 30 [size =\"28472320\"]\n  20 -> 31 [size =\"28472320\"]\n  21 [size=\"59136000\", alpha=\"0.12\", expect_size=\"23654400\"] \n  21 -> 26 [size =\"23654400\"]\n  21 -> 28 [size =\"23654400\"]\n  21 -> 29 [size =\"23654400\"]\n  21 -> 30 [size =\"23654400\"]\n  22 [size=\"84641280\", alpha=\"0.18\", expect_size=\"33856512\"] \n  22 -> 25 [size =\"33856512\"]\n  22 -> 27 [size =\"33856512\"]\n  22 -> 28 [size =\"33856512\"]\n  22 -> 30 [size =\"33856512\"]\n  22 -> 31 [size =\"33856512\"]\n  23 [size=\"115916800\", alpha=\"0.19\", expect_size=\"46366720\"] \n  23 -> 25 [size =\"46366720\"]\n  23 -> 27 [size =\"46366720\"]\n  23 -> 28 [size =\"46366720\"]\n  23 -> 30 [size =\"46366720\"]\n  24 [size=\"122101760\", alpha=\"0.13\", expect_size=\"48840704\"] \n  24 -> 25 [size =\"48840704\"]\n  24 -> 27 [size =\"48840704\"]\n  24 -> 28 [size =\"48840704\"]\n  25 [size=\"45411840\", alpha=\"0.05\", expect_size=\"18164736\"] \n  25 -> 32 [size =\"18164736\"]\n  25 -> 33 [size =\"18164736\"]\n  25 -> 35 [size =\"18164736\"]\n  25 -> 36 [size =\"18164736\"]\n  25 -> 36 [size =\"18164736\"]\n  26 [size=\"57374720\", alpha=\"0.02\", expect_size=\"22949888\"] \n  26 -> 32 [size =\"22949888\"]\n  26 -> 33 [size =\"22949888\"]\n  26 -> 35 [size =\"22949888\"]\n  26 -> 36 [size =\"22949888\"]\n  26 -> 37 [size =\"22949888\"]\n  27 [size=\"106659840\", alpha=\"0.10\", expect_size=\"42663936\"] \n  27 -> 36 [size =\"42663936\"]\n  27 -> 37 [size =\"42663936\"]\n  28 [size=\"22876160\", alpha=\"0.04\", expect_size=\"9150464\"] \n  28 -> 32 [size =\"9150464\"]\n  28 -> 35 [size =\"9150464\"]\n  28 -> 37 [size =\"9150464\"]\n  29 [size=\"63060480\", alpha=\"0.06\", expect_size=\"25224192\"] \n  29 -> 37 [size =\"25224192\"]\n  30 [size=\"31728640\", alpha=\"0.06\", expect_size=\"12691456\"] \n  30 -> 32 [size =\"12691456\"]\n  30 -> 33 [size =\"12691456\"]\n  31 [size=\"97838080\", alpha=\"0.15\", expect_size=\"39135232\"] \n  31 -> 32 [size =\"39135232\"]\n  31 -> 33 [size =\"39135232\"]\n  31 -> 34 [size =\"39135232\"]\n  31 -> 35 [size =\"39135232\"]\n  31 -> 36 [size =\"39135232\"]\n  31 -> 37 [size =\"39135232\"]\n  32 [size=\"48084480\", alpha=\"0.03\", expect_size=\"19233792\"] \n  32 -> 41 [size =\"19233792\"]\n  33 [size=\"38755840\", alpha=\"0.13\", expect_size=\"15502336\"] \n  33 -> 39 [size =\"15502336\"]\n  33 -> 40 [size =\"15502336\"]\n  33 -> 41 [size =\"15502336\"]\n  34 [size=\"32463360\", alpha=\"0.10\", expect_size=\"12985344\"] \n  34 -> 40 [size =\"12985344\"]\n  34 -> 41 [size =\"12985344\"]\n  34 -> 42 [size =\"12985344\"]\n  35 [size=\"110945280\", alpha=\"0.19\", expect_size=\"44378112\"] \n  35 -> 38 [size =\"44378112\"]\n  35 -> 39 [size =\"44378112\"]\n  35 -> 42 [size =\"44378112\"]\n  35 -> 43 [size =\"44378112\"]\n  36 [size=\"20999680\", alpha=\"0.19\", expect_size=\"8399872\"] \n  36 -> 40 [size =\"8399872\"]\n  36 -> 43 [size =\"8399872\"]\n  37 [size=\"32952320\", alpha=\"0.09\", expect_size=\"13180928\"] \n  37 -> 39 [size =\"13180928\"]\n  37 -> 41 [size =\"13180928\"]\n  37 -> 43 [size =\"13180928\"]\n  38 [size=\"93603840\", alpha=\"0.17\", expect_size=\"37441536\"] \n  38 -> 45 [size =\"37441536\"]\n  38 -> 46 [size =\"37441536\"]\n  38 -> 47 [size =\"37441536\"]\n  38 -> 49 [size =\"37441536\"]\n  39 [size=\"118702080\", alpha=\"0.02\", expect_size=\"47480832\"] \n  39 -> 45 [size =\"47480832\"]\n  40 [size=\"36523520\", alpha=\"0.17\", expect_size=\"14609408\"] \n  40 -> 46 [size =\"14609408\"]\n  40 -> 47 [size =\"14609408\"]\n  40 -> 48 [size =\"14609408\"]\n  41 [size=\"69253120\", alpha=\"0.19\", expect_size=\"27701248\"] \n  41 -> 45 [size =\"27701248\"]\n  41 -> 47 [size =\"27701248\"]\n  41 -> 48 [size =\"27701248\"]\n  42 [size=\"40898560\", alpha=\"0.14\", expect_size=\"16359424\"] \n  42 -> 45 [size =\"16359424\"]\n  42 -> 46 [size =\"16359424\"]\n  42 -> 47 [size =\"16359424\"]\n  42 -> 48 [size =\"16359424\"]\n  43 [size=\"58017280\", alpha=\"0.06\", expect_size=\"23206912\"] \n  43 -> 44 [size =\"23206912\"]\n  43 -> 45 [size =\"23206912\"]\n  43 -> 48 [size =\"23206912\"]\n  44 [size=\"17658880\", alpha=\"0.17\", expect_size=\"7063552\"] \n  45 [size=\"76764160\", alpha=\"0.13\", expect_size=\"30705664\"] \n  46 [size=\"70766080\", alpha=\"0.16\", expect_size=\"28306432\"] \n  47 [size=\"66094080\", alpha=\"0.15\", expect_size=\"26437632\"] \n  47 -> 50 [size =\"26437632\"]\n  48 [size=\"116282880\", alpha=\"0.16\", expect_size=\"46513152\"] \n  48 -> 50 [size =\"46513152\"]\n  49 [size=\"101519360\", alpha=\"0.06\", expect_size=\"40607744\"] \n  49 -> 50 [size =\"40607744\"]\n  50 [size=\"115146240\", alpha=\"0.18\", expect_size=\"46058496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.194.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99724800\", alpha=\"0.07\", expect_size=\"39889920\"] \n  1 -> 9 [size =\"39889920\"]\n  1 -> 10 [size =\"39889920\"]\n  1 -> 11 [size =\"39889920\"]\n  1 -> 13 [size =\"39889920\"]\n  2 [size=\"97720320\", alpha=\"0.13\", expect_size=\"39088128\"] \n  2 -> 9 [size =\"39088128\"]\n  2 -> 13 [size =\"39088128\"]\n  3 [size=\"96276480\", alpha=\"0.03\", expect_size=\"38510592\"] \n  3 -> 9 [size =\"38510592\"]\n  3 -> 10 [size =\"38510592\"]\n  3 -> 13 [size =\"38510592\"]\n  4 [size=\"99079680\", alpha=\"0.12\", expect_size=\"39631872\"] \n  4 -> 10 [size =\"39631872\"]\n  4 -> 12 [size =\"39631872\"]\n  4 -> 13 [size =\"39631872\"]\n  5 [size=\"62154240\", alpha=\"0.13\", expect_size=\"24861696\"] \n  5 -> 9 [size =\"24861696\"]\n  5 -> 10 [size =\"24861696\"]\n  5 -> 12 [size =\"24861696\"]\n  5 -> 13 [size =\"24861696\"]\n  6 [size=\"36213760\", alpha=\"0.15\", expect_size=\"14485504\"] \n  6 -> 13 [size =\"14485504\"]\n  7 [size=\"49047040\", alpha=\"0.11\", expect_size=\"19618816\"] \n  7 -> 12 [size =\"19618816\"]\n  7 -> 13 [size =\"19618816\"]\n  8 [size=\"30945280\", alpha=\"0.09\", expect_size=\"12378112\"] \n  8 -> 9 [size =\"12378112\"]\n  8 -> 11 [size =\"12378112\"]\n  8 -> 12 [size =\"12378112\"]\n  9 [size=\"42849280\", alpha=\"0.19\", expect_size=\"17139712\"] \n  9 -> 14 [size =\"17139712\"]\n  9 -> 16 [size =\"17139712\"]\n  9 -> 18 [size =\"17139712\"]\n  10 [size=\"14563840\", alpha=\"0.12\", expect_size=\"5825536\"] \n  10 -> 17 [size =\"5825536\"]\n  10 -> 19 [size =\"5825536\"]\n  10 -> 20 [size =\"5825536\"]\n  11 [size=\"48135680\", alpha=\"0.09\", expect_size=\"19254272\"] \n  11 -> 14 [size =\"19254272\"]\n  11 -> 19 [size =\"19254272\"]\n  12 [size=\"87592960\", alpha=\"0.11\", expect_size=\"35037184\"] \n  12 -> 14 [size =\"35037184\"]\n  12 -> 16 [size =\"35037184\"]\n  12 -> 18 [size =\"35037184\"]\n  12 -> 19 [size =\"35037184\"]\n  12 -> 20 [size =\"35037184\"]\n  13 [size=\"46220800\", alpha=\"0.13\", expect_size=\"18488320\"] \n  13 -> 14 [size =\"18488320\"]\n  13 -> 15 [size =\"18488320\"]\n  13 -> 19 [size =\"18488320\"]\n  13 -> 19 [size =\"18488320\"]\n  13 -> 20 [size =\"18488320\"]\n  14 [size=\"63539200\", alpha=\"0.05\", expect_size=\"25415680\"] \n  14 -> 22 [size =\"25415680\"]\n  14 -> 25 [size =\"25415680\"]\n  15 [size=\"18344960\", alpha=\"0.04\", expect_size=\"7337984\"] \n  15 -> 21 [size =\"7337984\"]\n  15 -> 22 [size =\"7337984\"]\n  15 -> 25 [size =\"7337984\"]\n  15 -> 26 [size =\"7337984\"]\n  16 [size=\"95290880\", alpha=\"0.19\", expect_size=\"38116352\"] \n  16 -> 24 [size =\"38116352\"]\n  16 -> 26 [size =\"38116352\"]\n  17 [size=\"68093440\", alpha=\"0.08\", expect_size=\"27237376\"] \n  17 -> 21 [size =\"27237376\"]\n  17 -> 23 [size =\"27237376\"]\n  17 -> 25 [size =\"27237376\"]\n  18 [size=\"15093760\", alpha=\"0.18\", expect_size=\"6037504\"] \n  18 -> 22 [size =\"6037504\"]\n  19 [size=\"67645440\", alpha=\"0.03\", expect_size=\"27058176\"] \n  19 -> 22 [size =\"27058176\"]\n  19 -> 25 [size =\"27058176\"]\n  20 [size=\"59102720\", alpha=\"0.16\", expect_size=\"23641088\"] \n  20 -> 22 [size =\"23641088\"]\n  20 -> 24 [size =\"23641088\"]\n  20 -> 26 [size =\"23641088\"]\n  21 [size=\"127618560\", alpha=\"0.04\", expect_size=\"51047424\"] \n  21 -> 29 [size =\"51047424\"]\n  21 -> 30 [size =\"51047424\"]\n  21 -> 34 [size =\"51047424\"]\n  22 [size=\"61647360\", alpha=\"0.06\", expect_size=\"24658944\"] \n  22 -> 29 [size =\"24658944\"]\n  22 -> 32 [size =\"24658944\"]\n  22 -> 33 [size =\"24658944\"]\n  23 [size=\"128527360\", alpha=\"0.02\", expect_size=\"51410944\"] \n  23 -> 28 [size =\"51410944\"]\n  23 -> 31 [size =\"51410944\"]\n  23 -> 32 [size =\"51410944\"]\n  24 [size=\"89341440\", alpha=\"0.13\", expect_size=\"35736576\"] \n  24 -> 27 [size =\"35736576\"]\n  24 -> 30 [size =\"35736576\"]\n  24 -> 31 [size =\"35736576\"]\n  24 -> 34 [size =\"35736576\"]\n  25 [size=\"118312960\", alpha=\"0.12\", expect_size=\"47325184\"] \n  25 -> 27 [size =\"47325184\"]\n  25 -> 28 [size =\"47325184\"]\n  25 -> 32 [size =\"47325184\"]\n  25 -> 33 [size =\"47325184\"]\n  25 -> 34 [size =\"47325184\"]\n  26 [size=\"24640000\", alpha=\"0.15\", expect_size=\"9856000\"] \n  26 -> 27 [size =\"9856000\"]\n  26 -> 30 [size =\"9856000\"]\n  26 -> 31 [size =\"9856000\"]\n  27 [size=\"19297280\", alpha=\"0.04\", expect_size=\"7718912\"] \n  27 -> 36 [size =\"7718912\"]\n  27 -> 40 [size =\"7718912\"]\n  28 [size=\"65589760\", alpha=\"0.17\", expect_size=\"26235904\"] \n  28 -> 35 [size =\"26235904\"]\n  28 -> 36 [size =\"26235904\"]\n  28 -> 37 [size =\"26235904\"]\n  28 -> 38 [size =\"26235904\"]\n  28 -> 39 [size =\"26235904\"]\n  28 -> 40 [size =\"26235904\"]\n  29 [size=\"54663680\", alpha=\"0.14\", expect_size=\"21865472\"] \n  29 -> 35 [size =\"21865472\"]\n  29 -> 36 [size =\"21865472\"]\n  29 -> 37 [size =\"21865472\"]\n  29 -> 40 [size =\"21865472\"]\n  30 [size=\"70364160\", alpha=\"0.11\", expect_size=\"28145664\"] \n  30 -> 35 [size =\"28145664\"]\n  30 -> 37 [size =\"28145664\"]\n  31 [size=\"45696000\", alpha=\"0.15\", expect_size=\"18278400\"] \n  31 -> 35 [size =\"18278400\"]\n  31 -> 37 [size =\"18278400\"]\n  31 -> 38 [size =\"18278400\"]\n  31 -> 39 [size =\"18278400\"]\n  31 -> 40 [size =\"18278400\"]\n  32 [size=\"67284480\", alpha=\"0.11\", expect_size=\"26913792\"] \n  32 -> 35 [size =\"26913792\"]\n  32 -> 36 [size =\"26913792\"]\n  32 -> 37 [size =\"26913792\"]\n  32 -> 38 [size =\"26913792\"]\n  32 -> 40 [size =\"26913792\"]\n  33 [size=\"101775360\", alpha=\"0.13\", expect_size=\"40710144\"] \n  33 -> 35 [size =\"40710144\"]\n  33 -> 36 [size =\"40710144\"]\n  33 -> 37 [size =\"40710144\"]\n  34 [size=\"114373120\", alpha=\"0.03\", expect_size=\"45749248\"] \n  34 -> 37 [size =\"45749248\"]\n  34 -> 38 [size =\"45749248\"]\n  35 [size=\"73088000\", alpha=\"0.14\", expect_size=\"29235200\"] \n  35 -> 44 [size =\"29235200\"]\n  35 -> 46 [size =\"29235200\"]\n  35 -> 47 [size =\"29235200\"]\n  36 [size=\"26969600\", alpha=\"0.19\", expect_size=\"10787840\"] \n  36 -> 41 [size =\"10787840\"]\n  36 -> 42 [size =\"10787840\"]\n  36 -> 47 [size =\"10787840\"]\n  37 [size=\"117089280\", alpha=\"0.13\", expect_size=\"46835712\"] \n  37 -> 41 [size =\"46835712\"]\n  37 -> 43 [size =\"46835712\"]\n  37 -> 45 [size =\"46835712\"]\n  38 [size=\"25492480\", alpha=\"0.08\", expect_size=\"10196992\"] \n  38 -> 41 [size =\"10196992\"]\n  38 -> 43 [size =\"10196992\"]\n  38 -> 44 [size =\"10196992\"]\n  38 -> 47 [size =\"10196992\"]\n  39 [size=\"123916800\", alpha=\"0.12\", expect_size=\"49566720\"] \n  39 -> 43 [size =\"49566720\"]\n  39 -> 45 [size =\"49566720\"]\n  39 -> 46 [size =\"49566720\"]\n  39 -> 47 [size =\"49566720\"]\n  40 [size=\"88209920\", alpha=\"0.04\", expect_size=\"35283968\"] \n  40 -> 41 [size =\"35283968\"]\n  40 -> 42 [size =\"35283968\"]\n  40 -> 47 [size =\"35283968\"]\n  40 -> 47 [size =\"35283968\"]\n  41 [size=\"37793280\", alpha=\"0.15\", expect_size=\"15117312\"] \n  41 -> 49 [size =\"15117312\"]\n  42 [size=\"125665280\", alpha=\"0.15\", expect_size=\"50266112\"] \n  42 -> 50 [size =\"50266112\"]\n  43 [size=\"72414720\", alpha=\"0.13\", expect_size=\"28965888\"] \n  43 -> 49 [size =\"28965888\"]\n  44 [size=\"29122560\", alpha=\"0.05\", expect_size=\"11649024\"] \n  44 -> 48 [size =\"11649024\"]\n  44 -> 50 [size =\"11649024\"]\n  45 [size=\"46220800\", alpha=\"0.15\", expect_size=\"18488320\"] \n  45 -> 48 [size =\"18488320\"]\n  46 [size=\"128952320\", alpha=\"0.07\", expect_size=\"51580928\"] \n  46 -> 48 [size =\"51580928\"]\n  46 -> 49 [size =\"51580928\"]\n  46 -> 50 [size =\"51580928\"]\n  47 [size=\"123568640\", alpha=\"0.20\", expect_size=\"49427456\"] \n  47 -> 48 [size =\"49427456\"]\n  48 [size=\"85058560\", alpha=\"0.01\", expect_size=\"34023424\"] \n  49 [size=\"15408640\", alpha=\"0.10\", expect_size=\"6163456\"] \n  50 [size=\"87127040\", alpha=\"0.08\", expect_size=\"34850816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.195.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70212267\", alpha=\"0.07\", expect_size=\"21063680\"] \n  1 -> 8 [size =\"21063680\"]\n  1 -> 10 [size =\"21063680\"]\n  2 [size=\"22070613\", alpha=\"0.15\", expect_size=\"6621184\"] \n  2 -> 6 [size =\"6621184\"]\n  2 -> 8 [size =\"6621184\"]\n  3 [size=\"123518293\", alpha=\"0.20\", expect_size=\"37055488\"] \n  3 -> 5 [size =\"37055488\"]\n  3 -> 7 [size =\"37055488\"]\n  3 -> 8 [size =\"37055488\"]\n  3 -> 9 [size =\"37055488\"]\n  3 -> 10 [size =\"37055488\"]\n  4 [size=\"133980160\", alpha=\"0.09\", expect_size=\"40194048\"] \n  4 -> 6 [size =\"40194048\"]\n  4 -> 7 [size =\"40194048\"]\n  4 -> 9 [size =\"40194048\"]\n  4 -> 10 [size =\"40194048\"]\n  5 [size=\"102546773\", alpha=\"0.11\", expect_size=\"30764032\"] \n  5 -> 11 [size =\"30764032\"]\n  5 -> 12 [size =\"30764032\"]\n  5 -> 13 [size =\"30764032\"]\n  5 -> 14 [size =\"30764032\"]\n  5 -> 15 [size =\"30764032\"]\n  5 -> 18 [size =\"30764032\"]\n  6 [size=\"161392640\", alpha=\"0.04\", expect_size=\"48417792\"] \n  6 -> 12 [size =\"48417792\"]\n  6 -> 15 [size =\"48417792\"]\n  6 -> 17 [size =\"48417792\"]\n  6 -> 18 [size =\"48417792\"]\n  6 -> 19 [size =\"48417792\"]\n  7 [size=\"48455680\", alpha=\"0.14\", expect_size=\"14536704\"] \n  7 -> 11 [size =\"14536704\"]\n  7 -> 12 [size =\"14536704\"]\n  7 -> 15 [size =\"14536704\"]\n  7 -> 16 [size =\"14536704\"]\n  7 -> 17 [size =\"14536704\"]\n  8 [size=\"134956373\", alpha=\"0.16\", expect_size=\"40486912\"] \n  8 -> 15 [size =\"40486912\"]\n  8 -> 16 [size =\"40486912\"]\n  8 -> 17 [size =\"40486912\"]\n  8 -> 18 [size =\"40486912\"]\n  9 [size=\"43970560\", alpha=\"0.09\", expect_size=\"13191168\"] \n  9 -> 12 [size =\"13191168\"]\n  9 -> 13 [size =\"13191168\"]\n  9 -> 14 [size =\"13191168\"]\n  9 -> 16 [size =\"13191168\"]\n  9 -> 18 [size =\"13191168\"]\n  10 [size=\"141776213\", alpha=\"0.06\", expect_size=\"42532864\"] \n  10 -> 12 [size =\"42532864\"]\n  10 -> 13 [size =\"42532864\"]\n  10 -> 14 [size =\"42532864\"]\n  10 -> 15 [size =\"42532864\"]\n  10 -> 16 [size =\"42532864\"]\n  10 -> 19 [size =\"42532864\"]\n  11 [size=\"42233173\", alpha=\"0.17\", expect_size=\"12669952\"] \n  11 -> 26 [size =\"12669952\"]\n  11 -> 26 [size =\"12669952\"]\n  12 [size=\"96440320\", alpha=\"0.05\", expect_size=\"28932096\"] \n  12 -> 20 [size =\"28932096\"]\n  12 -> 21 [size =\"28932096\"]\n  12 -> 23 [size =\"28932096\"]\n  12 -> 24 [size =\"28932096\"]\n  12 -> 26 [size =\"28932096\"]\n  13 [size=\"55951360\", alpha=\"0.05\", expect_size=\"16785408\"] \n  14 [size=\"55644160\", alpha=\"0.14\", expect_size=\"16693248\"] \n  14 -> 21 [size =\"16693248\"]\n  14 -> 23 [size =\"16693248\"]\n  15 [size=\"122726400\", alpha=\"0.15\", expect_size=\"36817920\"] \n  15 -> 20 [size =\"36817920\"]\n  15 -> 21 [size =\"36817920\"]\n  15 -> 25 [size =\"36817920\"]\n  15 -> 26 [size =\"36817920\"]\n  16 [size=\"50585600\", alpha=\"0.19\", expect_size=\"15175680\"] \n  16 -> 20 [size =\"15175680\"]\n  16 -> 21 [size =\"15175680\"]\n  16 -> 22 [size =\"15175680\"]\n  16 -> 23 [size =\"15175680\"]\n  16 -> 25 [size =\"15175680\"]\n  16 -> 26 [size =\"15175680\"]\n  17 [size=\"83374080\", alpha=\"0.15\", expect_size=\"25012224\"] \n  17 -> 21 [size =\"25012224\"]\n  17 -> 24 [size =\"25012224\"]\n  17 -> 26 [size =\"25012224\"]\n  18 [size=\"38161067\", alpha=\"0.19\", expect_size=\"11448320\"] \n  18 -> 23 [size =\"11448320\"]\n  18 -> 25 [size =\"11448320\"]\n  19 [size=\"167065600\", alpha=\"0.20\", expect_size=\"50119680\"] \n  19 -> 21 [size =\"50119680\"]\n  19 -> 26 [size =\"50119680\"]\n  20 [size=\"78414507\", alpha=\"0.07\", expect_size=\"23524352\"] \n  20 -> 27 [size =\"23524352\"]\n  20 -> 33 [size =\"23524352\"]\n  21 [size=\"126382080\", alpha=\"0.02\", expect_size=\"37914624\"] \n  21 -> 27 [size =\"37914624\"]\n  21 -> 28 [size =\"37914624\"]\n  21 -> 32 [size =\"37914624\"]\n  22 [size=\"99020800\", alpha=\"0.17\", expect_size=\"29706240\"] \n  22 -> 27 [size =\"29706240\"]\n  22 -> 28 [size =\"29706240\"]\n  22 -> 29 [size =\"29706240\"]\n  22 -> 30 [size =\"29706240\"]\n  22 -> 32 [size =\"29706240\"]\n  22 -> 33 [size =\"29706240\"]\n  23 [size=\"137533440\", alpha=\"0.05\", expect_size=\"41260032\"] \n  23 -> 28 [size =\"41260032\"]\n  23 -> 29 [size =\"41260032\"]\n  23 -> 30 [size =\"41260032\"]\n  23 -> 31 [size =\"41260032\"]\n  23 -> 32 [size =\"41260032\"]\n  23 -> 33 [size =\"41260032\"]\n  24 [size=\"20012373\", alpha=\"0.09\", expect_size=\"6003712\"] \n  24 -> 27 [size =\"6003712\"]\n  24 -> 28 [size =\"6003712\"]\n  24 -> 29 [size =\"6003712\"]\n  24 -> 32 [size =\"6003712\"]\n  25 [size=\"130461013\", alpha=\"0.03\", expect_size=\"39138304\"] \n  25 -> 30 [size =\"39138304\"]\n  25 -> 32 [size =\"39138304\"]\n  25 -> 33 [size =\"39138304\"]\n  26 [size=\"91610453\", alpha=\"0.16\", expect_size=\"27483136\"] \n  26 -> 27 [size =\"27483136\"]\n  26 -> 28 [size =\"27483136\"]\n  27 [size=\"82022400\", alpha=\"0.12\", expect_size=\"24606720\"] \n  27 -> 34 [size =\"24606720\"]\n  27 -> 35 [size =\"24606720\"]\n  27 -> 37 [size =\"24606720\"]\n  27 -> 38 [size =\"24606720\"]\n  27 -> 39 [size =\"24606720\"]\n  28 [size=\"41294507\", alpha=\"0.03\", expect_size=\"12388352\"] \n  28 -> 37 [size =\"12388352\"]\n  28 -> 38 [size =\"12388352\"]\n  28 -> 39 [size =\"12388352\"]\n  29 [size=\"34314240\", alpha=\"0.18\", expect_size=\"10294272\"] \n  29 -> 37 [size =\"10294272\"]\n  30 [size=\"31051093\", alpha=\"0.09\", expect_size=\"9315328\"] \n  30 -> 36 [size =\"9315328\"]\n  30 -> 37 [size =\"9315328\"]\n  31 [size=\"88975360\", alpha=\"0.02\", expect_size=\"26692608\"] \n  32 [size=\"103536640\", alpha=\"0.06\", expect_size=\"31060992\"] \n  32 -> 36 [size =\"31060992\"]\n  32 -> 38 [size =\"31060992\"]\n  33 [size=\"79336107\", alpha=\"0.15\", expect_size=\"23800832\"] \n  33 -> 34 [size =\"23800832\"]\n  33 -> 37 [size =\"23800832\"]\n  33 -> 38 [size =\"23800832\"]\n  33 -> 39 [size =\"23800832\"]\n  34 [size=\"122412373\", alpha=\"0.08\", expect_size=\"36723712\"] \n  34 -> 43 [size =\"36723712\"]\n  34 -> 48 [size =\"36723712\"]\n  35 [size=\"34696533\", alpha=\"0.15\", expect_size=\"10408960\"] \n  35 -> 46 [size =\"10408960\"]\n  36 [size=\"58552320\", alpha=\"0.06\", expect_size=\"17565696\"] \n  36 -> 45 [size =\"17565696\"]\n  37 [size=\"23316480\", alpha=\"0.05\", expect_size=\"6994944\"] \n  37 -> 41 [size =\"6994944\"]\n  37 -> 44 [size =\"6994944\"]\n  37 -> 46 [size =\"6994944\"]\n  37 -> 47 [size =\"6994944\"]\n  38 [size=\"117265067\", alpha=\"0.08\", expect_size=\"35179520\"] \n  38 -> 41 [size =\"35179520\"]\n  38 -> 42 [size =\"35179520\"]\n  38 -> 43 [size =\"35179520\"]\n  38 -> 48 [size =\"35179520\"]\n  39 [size=\"143301973\", alpha=\"0.09\", expect_size=\"42990592\"] \n  39 -> 40 [size =\"42990592\"]\n  39 -> 41 [size =\"42990592\"]\n  40 [size=\"127931733\", alpha=\"0.18\", expect_size=\"38379520\"] \n  40 -> 50 [size =\"38379520\"]\n  41 [size=\"38161067\", alpha=\"0.00\", expect_size=\"11448320\"] \n  42 [size=\"56043520\", alpha=\"0.13\", expect_size=\"16813056\"] \n  43 [size=\"103253333\", alpha=\"0.02\", expect_size=\"30976000\"] \n  43 -> 49 [size =\"30976000\"]\n  44 [size=\"60982613\", alpha=\"0.10\", expect_size=\"18294784\"] \n  45 [size=\"124689067\", alpha=\"0.13\", expect_size=\"37406720\"] \n  45 -> 50 [size =\"37406720\"]\n  46 [size=\"85046613\", alpha=\"0.06\", expect_size=\"25513984\"] \n  46 -> 49 [size =\"25513984\"]\n  46 -> 50 [size =\"25513984\"]\n  47 [size=\"132457813\", alpha=\"0.06\", expect_size=\"39737344\"] \n  47 -> 50 [size =\"39737344\"]\n  48 [size=\"18244267\", alpha=\"0.10\", expect_size=\"5473280\"] \n  48 -> 49 [size =\"5473280\"]\n  49 [size=\"77670400\", alpha=\"0.16\", expect_size=\"23301120\"] \n  50 [size=\"145752747\", alpha=\"0.03\", expect_size=\"43725824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.196.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174168747\", alpha=\"0.02\", expect_size=\"52250624\"] \n  1 -> 14 [size =\"52250624\"]\n  1 -> 22 [size =\"52250624\"]\n  1 -> 24 [size =\"52250624\"]\n  1 -> 27 [size =\"52250624\"]\n  1 -> 28 [size =\"52250624\"]\n  1 -> 30 [size =\"52250624\"]\n  2 [size=\"169164800\", alpha=\"0.04\", expect_size=\"50749440\"] \n  2 -> 14 [size =\"50749440\"]\n  2 -> 16 [size =\"50749440\"]\n  2 -> 17 [size =\"50749440\"]\n  2 -> 18 [size =\"50749440\"]\n  2 -> 23 [size =\"50749440\"]\n  2 -> 25 [size =\"50749440\"]\n  3 [size=\"75967147\", alpha=\"0.05\", expect_size=\"22790144\"] \n  3 -> 17 [size =\"22790144\"]\n  3 -> 18 [size =\"22790144\"]\n  3 -> 19 [size =\"22790144\"]\n  3 -> 20 [size =\"22790144\"]\n  3 -> 23 [size =\"22790144\"]\n  3 -> 25 [size =\"22790144\"]\n  3 -> 26 [size =\"22790144\"]\n  3 -> 28 [size =\"22790144\"]\n  3 -> 29 [size =\"22790144\"]\n  4 [size=\"73417387\", alpha=\"0.19\", expect_size=\"22025216\"] \n  4 -> 16 [size =\"22025216\"]\n  4 -> 17 [size =\"22025216\"]\n  4 -> 19 [size =\"22025216\"]\n  4 -> 20 [size =\"22025216\"]\n  4 -> 24 [size =\"22025216\"]\n  4 -> 25 [size =\"22025216\"]\n  4 -> 28 [size =\"22025216\"]\n  4 -> 30 [size =\"22025216\"]\n  5 [size=\"154675200\", alpha=\"0.07\", expect_size=\"46402560\"] \n  5 -> 16 [size =\"46402560\"]\n  5 -> 17 [size =\"46402560\"]\n  5 -> 24 [size =\"46402560\"]\n  5 -> 25 [size =\"46402560\"]\n  5 -> 26 [size =\"46402560\"]\n  5 -> 29 [size =\"46402560\"]\n  6 [size=\"58842453\", alpha=\"0.04\", expect_size=\"17652736\"] \n  6 -> 16 [size =\"17652736\"]\n  6 -> 22 [size =\"17652736\"]\n  6 -> 23 [size =\"17652736\"]\n  6 -> 24 [size =\"17652736\"]\n  6 -> 25 [size =\"17652736\"]\n  6 -> 26 [size =\"17652736\"]\n  7 [size=\"168785920\", alpha=\"0.03\", expect_size=\"50635776\"] \n  7 -> 16 [size =\"50635776\"]\n  7 -> 18 [size =\"50635776\"]\n  7 -> 23 [size =\"50635776\"]\n  7 -> 24 [size =\"50635776\"]\n  7 -> 25 [size =\"50635776\"]\n  7 -> 26 [size =\"50635776\"]\n  7 -> 28 [size =\"50635776\"]\n  7 -> 29 [size =\"50635776\"]\n  8 [size=\"46540800\", alpha=\"0.04\", expect_size=\"13962240\"] \n  8 -> 16 [size =\"13962240\"]\n  8 -> 17 [size =\"13962240\"]\n  8 -> 18 [size =\"13962240\"]\n  8 -> 19 [size =\"13962240\"]\n  8 -> 20 [size =\"13962240\"]\n  8 -> 21 [size =\"13962240\"]\n  8 -> 23 [size =\"13962240\"]\n  8 -> 24 [size =\"13962240\"]\n  8 -> 26 [size =\"13962240\"]\n  8 -> 30 [size =\"13962240\"]\n  9 [size=\"161959253\", alpha=\"0.20\", expect_size=\"48587776\"] \n  9 -> 16 [size =\"48587776\"]\n  9 -> 17 [size =\"48587776\"]\n  9 -> 18 [size =\"48587776\"]\n  9 -> 19 [size =\"48587776\"]\n  9 -> 21 [size =\"48587776\"]\n  9 -> 23 [size =\"48587776\"]\n  9 -> 23 [size =\"48587776\"]\n  9 -> 24 [size =\"48587776\"]\n  9 -> 25 [size =\"48587776\"]\n  9 -> 26 [size =\"48587776\"]\n  9 -> 28 [size =\"48587776\"]\n  9 -> 29 [size =\"48587776\"]\n  9 -> 30 [size =\"48587776\"]\n  10 [size=\"56234667\", alpha=\"0.08\", expect_size=\"16870400\"] \n  10 -> 16 [size =\"16870400\"]\n  10 -> 17 [size =\"16870400\"]\n  10 -> 18 [size =\"16870400\"]\n  10 -> 19 [size =\"16870400\"]\n  10 -> 20 [size =\"16870400\"]\n  10 -> 21 [size =\"16870400\"]\n  10 -> 24 [size =\"16870400\"]\n  10 -> 24 [size =\"16870400\"]\n  10 -> 25 [size =\"16870400\"]\n  10 -> 26 [size =\"16870400\"]\n  10 -> 27 [size =\"16870400\"]\n  10 -> 29 [size =\"16870400\"]\n  11 [size=\"97450667\", alpha=\"0.14\", expect_size=\"29235200\"] \n  11 -> 16 [size =\"29235200\"]\n  11 -> 18 [size =\"29235200\"]\n  11 -> 19 [size =\"29235200\"]\n  11 -> 22 [size =\"29235200\"]\n  11 -> 24 [size =\"29235200\"]\n  11 -> 26 [size =\"29235200\"]\n  11 -> 28 [size =\"29235200\"]\n  11 -> 29 [size =\"29235200\"]\n  12 [size=\"112698027\", alpha=\"0.04\", expect_size=\"33809408\"] \n  12 -> 15 [size =\"33809408\"]\n  12 -> 16 [size =\"33809408\"]\n  12 -> 22 [size =\"33809408\"]\n  12 -> 22 [size =\"33809408\"]\n  12 -> 24 [size =\"33809408\"]\n  12 -> 26 [size =\"33809408\"]\n  12 -> 28 [size =\"33809408\"]\n  12 -> 29 [size =\"33809408\"]\n  12 -> 30 [size =\"33809408\"]\n  13 [size=\"143889067\", alpha=\"0.11\", expect_size=\"43166720\"] \n  13 -> 16 [size =\"43166720\"]\n  13 -> 18 [size =\"43166720\"]\n  13 -> 19 [size =\"43166720\"]\n  13 -> 20 [size =\"43166720\"]\n  13 -> 24 [size =\"43166720\"]\n  13 -> 25 [size =\"43166720\"]\n  13 -> 28 [size =\"43166720\"]\n  13 -> 29 [size =\"43166720\"]\n  14 [size=\"22988800\", alpha=\"0.04\", expect_size=\"6896640\"] \n  14 -> 32 [size =\"6896640\"]\n  14 -> 37 [size =\"6896640\"]\n  14 -> 38 [size =\"6896640\"]\n  14 -> 43 [size =\"6896640\"]\n  14 -> 44 [size =\"6896640\"]\n  15 [size=\"170769067\", alpha=\"0.10\", expect_size=\"51230720\"] \n  15 -> 32 [size =\"51230720\"]\n  15 -> 33 [size =\"51230720\"]\n  15 -> 34 [size =\"51230720\"]\n  15 -> 38 [size =\"51230720\"]\n  15 -> 41 [size =\"51230720\"]\n  15 -> 42 [size =\"51230720\"]\n  15 -> 44 [size =\"51230720\"]\n  16 [size=\"68741120\", alpha=\"0.04\", expect_size=\"20622336\"] \n  16 -> 32 [size =\"20622336\"]\n  16 -> 35 [size =\"20622336\"]\n  16 -> 38 [size =\"20622336\"]\n  16 -> 38 [size =\"20622336\"]\n  16 -> 40 [size =\"20622336\"]\n  16 -> 41 [size =\"20622336\"]\n  16 -> 42 [size =\"20622336\"]\n  16 -> 44 [size =\"20622336\"]\n  17 [size=\"96829440\", alpha=\"0.08\", expect_size=\"29048832\"] \n  17 -> 31 [size =\"29048832\"]\n  17 -> 32 [size =\"29048832\"]\n  17 -> 33 [size =\"29048832\"]\n  17 -> 34 [size =\"29048832\"]\n  17 -> 36 [size =\"29048832\"]\n  17 -> 38 [size =\"29048832\"]\n  17 -> 41 [size =\"29048832\"]\n  17 -> 42 [size =\"29048832\"]\n  18 [size=\"123453440\", alpha=\"0.01\", expect_size=\"37036032\"] \n  18 -> 31 [size =\"37036032\"]\n  18 -> 32 [size =\"37036032\"]\n  18 -> 34 [size =\"37036032\"]\n  18 -> 34 [size =\"37036032\"]\n  18 -> 38 [size =\"37036032\"]\n  18 -> 38 [size =\"37036032\"]\n  18 -> 41 [size =\"37036032\"]\n  18 -> 42 [size =\"37036032\"]\n  18 -> 44 [size =\"37036032\"]\n  19 [size=\"158481067\", alpha=\"0.09\", expect_size=\"47544320\"] \n  19 -> 31 [size =\"47544320\"]\n  19 -> 32 [size =\"47544320\"]\n  19 -> 34 [size =\"47544320\"]\n  19 -> 38 [size =\"47544320\"]\n  19 -> 40 [size =\"47544320\"]\n  19 -> 42 [size =\"47544320\"]\n  19 -> 44 [size =\"47544320\"]\n  20 [size=\"155825493\", alpha=\"0.12\", expect_size=\"46747648\"] \n  20 -> 31 [size =\"46747648\"]\n  20 -> 34 [size =\"46747648\"]\n  20 -> 34 [size =\"46747648\"]\n  20 -> 37 [size =\"46747648\"]\n  20 -> 40 [size =\"46747648\"]\n  20 -> 42 [size =\"46747648\"]\n  20 -> 44 [size =\"46747648\"]\n  21 [size=\"62337707\", alpha=\"0.16\", expect_size=\"18701312\"] \n  21 -> 31 [size =\"18701312\"]\n  21 -> 33 [size =\"18701312\"]\n  21 -> 34 [size =\"18701312\"]\n  21 -> 40 [size =\"18701312\"]\n  21 -> 42 [size =\"18701312\"]\n  21 -> 43 [size =\"18701312\"]\n  21 -> 44 [size =\"18701312\"]\n  22 [size=\"18684587\", alpha=\"0.18\", expect_size=\"5605376\"] \n  22 -> 31 [size =\"5605376\"]\n  22 -> 32 [size =\"5605376\"]\n  22 -> 33 [size =\"5605376\"]\n  22 -> 34 [size =\"5605376\"]\n  22 -> 37 [size =\"5605376\"]\n  22 -> 38 [size =\"5605376\"]\n  22 -> 40 [size =\"5605376\"]\n  22 -> 41 [size =\"5605376\"]\n  22 -> 44 [size =\"5605376\"]\n  23 [size=\"47056213\", alpha=\"0.08\", expect_size=\"14116864\"] \n  23 -> 31 [size =\"14116864\"]\n  23 -> 34 [size =\"14116864\"]\n  23 -> 38 [size =\"14116864\"]\n  23 -> 44 [size =\"14116864\"]\n  24 [size=\"133137067\", alpha=\"0.05\", expect_size=\"39941120\"] \n  24 -> 32 [size =\"39941120\"]\n  24 -> 34 [size =\"39941120\"]\n  24 -> 40 [size =\"39941120\"]\n  24 -> 43 [size =\"39941120\"]\n  24 -> 44 [size =\"39941120\"]\n  25 [size=\"167908693\", alpha=\"0.20\", expect_size=\"50372608\"] \n  25 -> 31 [size =\"50372608\"]\n  25 -> 32 [size =\"50372608\"]\n  25 -> 34 [size =\"50372608\"]\n  25 -> 35 [size =\"50372608\"]\n  25 -> 38 [size =\"50372608\"]\n  25 -> 40 [size =\"50372608\"]\n  25 -> 43 [size =\"50372608\"]\n  26 [size=\"90777600\", alpha=\"0.19\", expect_size=\"27233280\"] \n  26 -> 32 [size =\"27233280\"]\n  26 -> 32 [size =\"27233280\"]\n  26 -> 34 [size =\"27233280\"]\n  26 -> 35 [size =\"27233280\"]\n  26 -> 38 [size =\"27233280\"]\n  26 -> 40 [size =\"27233280\"]\n  26 -> 42 [size =\"27233280\"]\n  26 -> 43 [size =\"27233280\"]\n  27 [size=\"125040640\", alpha=\"0.18\", expect_size=\"37512192\"] \n  27 -> 31 [size =\"37512192\"]\n  27 -> 38 [size =\"37512192\"]\n  27 -> 39 [size =\"37512192\"]\n  27 -> 40 [size =\"37512192\"]\n  27 -> 41 [size =\"37512192\"]\n  28 [size=\"30904320\", alpha=\"0.01\", expect_size=\"9271296\"] \n  28 -> 35 [size =\"9271296\"]\n  28 -> 38 [size =\"9271296\"]\n  28 -> 41 [size =\"9271296\"]\n  29 [size=\"38570667\", alpha=\"0.02\", expect_size=\"11571200\"] \n  29 -> 31 [size =\"11571200\"]\n  29 -> 32 [size =\"11571200\"]\n  29 -> 34 [size =\"11571200\"]\n  29 -> 37 [size =\"11571200\"]\n  29 -> 38 [size =\"11571200\"]\n  29 -> 40 [size =\"11571200\"]\n  29 -> 41 [size =\"11571200\"]\n  29 -> 44 [size =\"11571200\"]\n  30 [size=\"110766080\", alpha=\"0.08\", expect_size=\"33229824\"] \n  30 -> 32 [size =\"33229824\"]\n  30 -> 34 [size =\"33229824\"]\n  30 -> 35 [size =\"33229824\"]\n  30 -> 37 [size =\"33229824\"]\n  30 -> 38 [size =\"33229824\"]\n  30 -> 42 [size =\"33229824\"]\n  30 -> 44 [size =\"33229824\"]\n  31 [size=\"51397973\", alpha=\"0.04\", expect_size=\"15419392\"] \n  31 -> 45 [size =\"15419392\"]\n  31 -> 47 [size =\"15419392\"]\n  32 [size=\"174448640\", alpha=\"0.12\", expect_size=\"52334592\"] \n  32 -> 45 [size =\"52334592\"]\n  32 -> 47 [size =\"52334592\"]\n  32 -> 50 [size =\"52334592\"]\n  33 [size=\"159744000\", alpha=\"0.17\", expect_size=\"47923200\"] \n  33 -> 47 [size =\"47923200\"]\n  33 -> 47 [size =\"47923200\"]\n  34 [size=\"65781760\", alpha=\"0.02\", expect_size=\"19734528\"] \n  34 -> 45 [size =\"19734528\"]\n  35 [size=\"105786027\", alpha=\"0.06\", expect_size=\"31735808\"] \n  35 -> 45 [size =\"31735808\"]\n  35 -> 47 [size =\"31735808\"]\n  36 [size=\"102382933\", alpha=\"0.17\", expect_size=\"30714880\"] \n  36 -> 47 [size =\"30714880\"]\n  37 [size=\"96938667\", alpha=\"0.18\", expect_size=\"29081600\"] \n  37 -> 45 [size =\"29081600\"]\n  37 -> 47 [size =\"29081600\"]\n  37 -> 48 [size =\"29081600\"]\n  37 -> 49 [size =\"29081600\"]\n  38 [size=\"83483307\", alpha=\"0.13\", expect_size=\"25044992\"] \n  38 -> 47 [size =\"25044992\"]\n  39 [size=\"91074560\", alpha=\"0.06\", expect_size=\"27322368\"] \n  39 -> 45 [size =\"27322368\"]\n  39 -> 47 [size =\"27322368\"]\n  39 -> 48 [size =\"27322368\"]\n  40 [size=\"106915840\", alpha=\"0.16\", expect_size=\"32074752\"] \n  40 -> 45 [size =\"32074752\"]\n  40 -> 47 [size =\"32074752\"]\n  40 -> 50 [size =\"32074752\"]\n  41 [size=\"169768960\", alpha=\"0.12\", expect_size=\"50930688\"] \n  41 -> 45 [size =\"50930688\"]\n  42 [size=\"45028693\", alpha=\"0.08\", expect_size=\"13508608\"] \n  43 [size=\"142499840\", alpha=\"0.07\", expect_size=\"42749952\"] \n  43 -> 46 [size =\"42749952\"]\n  43 -> 47 [size =\"42749952\"]\n  43 -> 50 [size =\"42749952\"]\n  44 [size=\"116732587\", alpha=\"0.02\", expect_size=\"35019776\"] \n  45 [size=\"130532693\", alpha=\"0.15\", expect_size=\"39159808\"] \n  46 [size=\"22620160\", alpha=\"0.18\", expect_size=\"6786048\"] \n  47 [size=\"158832640\", alpha=\"0.15\", expect_size=\"47649792\"] \n  48 [size=\"146667520\", alpha=\"0.13\", expect_size=\"44000256\"] \n  49 [size=\"92108800\", alpha=\"0.14\", expect_size=\"27632640\"] \n  50 [size=\"136157867\", alpha=\"0.07\", expect_size=\"40847360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.197.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76955648\", alpha=\"0.03\", expect_size=\"38477824\"] \n  1 -> 2 [size =\"38477824\"]\n  2 [size=\"64632832\", alpha=\"0.06\", expect_size=\"32316416\"] \n  2 -> 3 [size =\"32316416\"]\n  3 [size=\"31201280\", alpha=\"0.18\", expect_size=\"15600640\"] \n  3 -> 4 [size =\"15600640\"]\n  4 [size=\"88446976\", alpha=\"0.12\", expect_size=\"44223488\"] \n  4 -> 5 [size =\"44223488\"]\n  5 [size=\"102766592\", alpha=\"0.07\", expect_size=\"51383296\"] \n  5 -> 6 [size =\"51383296\"]\n  6 [size=\"60725248\", alpha=\"0.07\", expect_size=\"30362624\"] \n  6 -> 7 [size =\"30362624\"]\n  7 [size=\"48830464\", alpha=\"0.18\", expect_size=\"24415232\"] \n  7 -> 8 [size =\"24415232\"]\n  8 [size=\"24473600\", alpha=\"0.03\", expect_size=\"12236800\"] \n  8 -> 9 [size =\"12236800\"]\n  9 [size=\"50515968\", alpha=\"0.11\", expect_size=\"25257984\"] \n  9 -> 10 [size =\"25257984\"]\n  10 [size=\"16029696\", alpha=\"0.15\", expect_size=\"8014848\"] \n  10 -> 11 [size =\"8014848\"]\n  11 [size=\"98293760\", alpha=\"0.06\", expect_size=\"49146880\"] \n  11 -> 12 [size =\"49146880\"]\n  12 [size=\"18790400\", alpha=\"0.06\", expect_size=\"9395200\"] \n  12 -> 13 [size =\"9395200\"]\n  13 [size=\"45598720\", alpha=\"0.17\", expect_size=\"22799360\"] \n  13 -> 14 [size =\"22799360\"]\n  14 [size=\"35670016\", alpha=\"0.09\", expect_size=\"17835008\"] \n  14 -> 15 [size =\"17835008\"]\n  15 [size=\"92825600\", alpha=\"0.12\", expect_size=\"46412800\"] \n  15 -> 16 [size =\"46412800\"]\n  16 [size=\"30781440\", alpha=\"0.06\", expect_size=\"15390720\"] \n  16 -> 17 [size =\"15390720\"]\n  17 [size=\"62474240\", alpha=\"0.19\", expect_size=\"31237120\"] \n  17 -> 18 [size =\"31237120\"]\n  18 [size=\"52617216\", alpha=\"0.12\", expect_size=\"26308608\"] \n  18 -> 19 [size =\"26308608\"]\n  19 [size=\"66107392\", alpha=\"0.11\", expect_size=\"33053696\"] \n  19 -> 20 [size =\"33053696\"]\n  20 [size=\"23066624\", alpha=\"0.14\", expect_size=\"11533312\"] \n  20 -> 21 [size =\"11533312\"]\n  21 [size=\"94599168\", alpha=\"0.10\", expect_size=\"47299584\"] \n  21 -> 22 [size =\"47299584\"]\n  22 [size=\"30474240\", alpha=\"0.18\", expect_size=\"15237120\"] \n  22 -> 23 [size =\"15237120\"]\n  23 [size=\"59154432\", alpha=\"0.10\", expect_size=\"29577216\"] \n  23 -> 24 [size =\"29577216\"]\n  24 [size=\"44863488\", alpha=\"0.18\", expect_size=\"22431744\"] \n  24 -> 25 [size =\"22431744\"]\n  25 [size=\"84992000\", alpha=\"0.07\", expect_size=\"42496000\"] \n  25 -> 26 [size =\"42496000\"]\n  26 [size=\"48457728\", alpha=\"0.06\", expect_size=\"24228864\"] \n  26 -> 27 [size =\"24228864\"]\n  27 [size=\"74463232\", alpha=\"0.13\", expect_size=\"37231616\"] \n  27 -> 28 [size =\"37231616\"]\n  28 [size=\"71419904\", alpha=\"0.02\", expect_size=\"35709952\"] \n  28 -> 29 [size =\"35709952\"]\n  29 [size=\"31817728\", alpha=\"0.01\", expect_size=\"15908864\"] \n  29 -> 30 [size =\"15908864\"]\n  30 [size=\"85895168\", alpha=\"0.01\", expect_size=\"42947584\"] \n  30 -> 31 [size =\"42947584\"]\n  31 [size=\"55898112\", alpha=\"0.19\", expect_size=\"27949056\"] \n  31 -> 32 [size =\"27949056\"]\n  32 [size=\"102668288\", alpha=\"0.19\", expect_size=\"51334144\"] \n  32 -> 33 [size =\"51334144\"]\n  33 [size=\"91611136\", alpha=\"0.06\", expect_size=\"45805568\"] \n  33 -> 34 [size =\"45805568\"]\n  34 [size=\"43442176\", alpha=\"0.19\", expect_size=\"21721088\"] \n  34 -> 35 [size =\"21721088\"]\n  35 [size=\"36126720\", alpha=\"0.09\", expect_size=\"18063360\"] \n  35 -> 36 [size =\"18063360\"]\n  36 [size=\"67571712\", alpha=\"0.04\", expect_size=\"33785856\"] \n  36 -> 37 [size =\"33785856\"]\n  37 [size=\"93644800\", alpha=\"0.09\", expect_size=\"46822400\"] \n  37 -> 38 [size =\"46822400\"]\n  38 [size=\"58322944\", alpha=\"0.04\", expect_size=\"29161472\"] \n  38 -> 39 [size =\"29161472\"]\n  39 [size=\"69967872\", alpha=\"0.10\", expect_size=\"34983936\"] \n  39 -> 40 [size =\"34983936\"]\n  40 [size=\"74235904\", alpha=\"0.19\", expect_size=\"37117952\"] \n  40 -> 41 [size =\"37117952\"]\n  41 [size=\"76673024\", alpha=\"0.06\", expect_size=\"38336512\"] \n  41 -> 42 [size =\"38336512\"]\n  42 [size=\"70715392\", alpha=\"0.16\", expect_size=\"35357696\"] \n  42 -> 43 [size =\"35357696\"]\n  43 [size=\"64669696\", alpha=\"0.18\", expect_size=\"32334848\"] \n  43 -> 44 [size =\"32334848\"]\n  44 [size=\"93650944\", alpha=\"0.06\", expect_size=\"46825472\"] \n  44 -> 45 [size =\"46825472\"]\n  45 [size=\"88469504\", alpha=\"0.11\", expect_size=\"44234752\"] \n  45 -> 46 [size =\"44234752\"]\n  46 [size=\"37097472\", alpha=\"0.03\", expect_size=\"18548736\"] \n  46 -> 47 [size =\"18548736\"]\n  47 [size=\"54198272\", alpha=\"0.09\", expect_size=\"27099136\"] \n  47 -> 48 [size =\"27099136\"]\n  48 [size=\"97394688\", alpha=\"0.08\", expect_size=\"48697344\"] \n  48 -> 49 [size =\"48697344\"]\n  49 [size=\"20072448\", alpha=\"0.11\", expect_size=\"10036224\"] \n  49 -> 50 [size =\"10036224\"]\n  50 [size=\"66598912\", alpha=\"0.11\", expect_size=\"33299456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.198.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32149504\", alpha=\"0.01\", expect_size=\"16074752\"] \n  1 -> 16 [size =\"16074752\"]\n  1 -> 23 [size =\"16074752\"]\n  1 -> 25 [size =\"16074752\"]\n  1 -> 26 [size =\"16074752\"]\n  1 -> 28 [size =\"16074752\"]\n  1 -> 30 [size =\"16074752\"]\n  1 -> 31 [size =\"16074752\"]\n  2 [size=\"23840768\", alpha=\"0.01\", expect_size=\"11920384\"] \n  2 -> 20 [size =\"11920384\"]\n  2 -> 30 [size =\"11920384\"]\n  2 -> 31 [size =\"11920384\"]\n  3 [size=\"48848896\", alpha=\"0.17\", expect_size=\"24424448\"] \n  3 -> 19 [size =\"24424448\"]\n  3 -> 20 [size =\"24424448\"]\n  3 -> 21 [size =\"24424448\"]\n  3 -> 24 [size =\"24424448\"]\n  3 -> 29 [size =\"24424448\"]\n  3 -> 30 [size =\"24424448\"]\n  3 -> 31 [size =\"24424448\"]\n  4 [size=\"63264768\", alpha=\"0.15\", expect_size=\"31632384\"] \n  4 -> 16 [size =\"31632384\"]\n  4 -> 17 [size =\"31632384\"]\n  4 -> 18 [size =\"31632384\"]\n  4 -> 20 [size =\"31632384\"]\n  4 -> 21 [size =\"31632384\"]\n  4 -> 25 [size =\"31632384\"]\n  4 -> 29 [size =\"31632384\"]\n  4 -> 30 [size =\"31632384\"]\n  5 [size=\"19447808\", alpha=\"0.12\", expect_size=\"9723904\"] \n  5 -> 20 [size =\"9723904\"]\n  5 -> 25 [size =\"9723904\"]\n  5 -> 28 [size =\"9723904\"]\n  5 -> 29 [size =\"9723904\"]\n  6 [size=\"96014336\", alpha=\"0.08\", expect_size=\"48007168\"] \n  6 -> 20 [size =\"48007168\"]\n  6 -> 21 [size =\"48007168\"]\n  6 -> 24 [size =\"48007168\"]\n  6 -> 28 [size =\"48007168\"]\n  6 -> 29 [size =\"48007168\"]\n  7 [size=\"83038208\", alpha=\"0.12\", expect_size=\"41519104\"] \n  7 -> 19 [size =\"41519104\"]\n  7 -> 20 [size =\"41519104\"]\n  7 -> 24 [size =\"41519104\"]\n  7 -> 28 [size =\"41519104\"]\n  7 -> 29 [size =\"41519104\"]\n  7 -> 30 [size =\"41519104\"]\n  8 [size=\"19636224\", alpha=\"0.20\", expect_size=\"9818112\"] \n  8 -> 19 [size =\"9818112\"]\n  8 -> 20 [size =\"9818112\"]\n  8 -> 21 [size =\"9818112\"]\n  8 -> 23 [size =\"9818112\"]\n  8 -> 25 [size =\"9818112\"]\n  8 -> 27 [size =\"9818112\"]\n  8 -> 28 [size =\"9818112\"]\n  8 -> 29 [size =\"9818112\"]\n  8 -> 30 [size =\"9818112\"]\n  9 [size=\"37177344\", alpha=\"0.09\", expect_size=\"18588672\"] \n  9 -> 19 [size =\"18588672\"]\n  9 -> 20 [size =\"18588672\"]\n  9 -> 21 [size =\"18588672\"]\n  9 -> 25 [size =\"18588672\"]\n  9 -> 28 [size =\"18588672\"]\n  9 -> 29 [size =\"18588672\"]\n  9 -> 30 [size =\"18588672\"]\n  10 [size=\"14532608\", alpha=\"0.11\", expect_size=\"7266304\"] \n  10 -> 19 [size =\"7266304\"]\n  10 -> 21 [size =\"7266304\"]\n  10 -> 25 [size =\"7266304\"]\n  10 -> 27 [size =\"7266304\"]\n  11 [size=\"65564672\", alpha=\"0.15\", expect_size=\"32782336\"] \n  11 -> 22 [size =\"32782336\"]\n  11 -> 25 [size =\"32782336\"]\n  11 -> 25 [size =\"32782336\"]\n  11 -> 28 [size =\"32782336\"]\n  11 -> 29 [size =\"32782336\"]\n  11 -> 30 [size =\"32782336\"]\n  12 [size=\"69212160\", alpha=\"0.18\", expect_size=\"34606080\"] \n  12 -> 19 [size =\"34606080\"]\n  12 -> 25 [size =\"34606080\"]\n  12 -> 26 [size =\"34606080\"]\n  12 -> 29 [size =\"34606080\"]\n  12 -> 30 [size =\"34606080\"]\n  13 [size=\"72402944\", alpha=\"0.19\", expect_size=\"36201472\"] \n  13 -> 19 [size =\"36201472\"]\n  13 -> 20 [size =\"36201472\"]\n  13 -> 24 [size =\"36201472\"]\n  13 -> 25 [size =\"36201472\"]\n  13 -> 28 [size =\"36201472\"]\n  13 -> 30 [size =\"36201472\"]\n  14 [size=\"56580096\", alpha=\"0.11\", expect_size=\"28290048\"] \n  14 -> 19 [size =\"28290048\"]\n  14 -> 20 [size =\"28290048\"]\n  14 -> 22 [size =\"28290048\"]\n  14 -> 24 [size =\"28290048\"]\n  14 -> 28 [size =\"28290048\"]\n  14 -> 29 [size =\"28290048\"]\n  14 -> 30 [size =\"28290048\"]\n  15 [size=\"35115008\", alpha=\"0.18\", expect_size=\"17557504\"] \n  15 -> 18 [size =\"17557504\"]\n  15 -> 19 [size =\"17557504\"]\n  15 -> 22 [size =\"17557504\"]\n  15 -> 23 [size =\"17557504\"]\n  15 -> 24 [size =\"17557504\"]\n  15 -> 28 [size =\"17557504\"]\n  16 [size=\"93349888\", alpha=\"0.18\", expect_size=\"46674944\"] \n  16 -> 32 [size =\"46674944\"]\n  16 -> 34 [size =\"46674944\"]\n  16 -> 38 [size =\"46674944\"]\n  16 -> 43 [size =\"46674944\"]\n  16 -> 44 [size =\"46674944\"]\n  17 [size=\"35438592\", alpha=\"0.01\", expect_size=\"17719296\"] \n  17 -> 32 [size =\"17719296\"]\n  17 -> 33 [size =\"17719296\"]\n  17 -> 34 [size =\"17719296\"]\n  17 -> 41 [size =\"17719296\"]\n  17 -> 44 [size =\"17719296\"]\n  18 [size=\"89792512\", alpha=\"0.10\", expect_size=\"44896256\"] \n  18 -> 32 [size =\"44896256\"]\n  18 -> 36 [size =\"44896256\"]\n  18 -> 42 [size =\"44896256\"]\n  18 -> 43 [size =\"44896256\"]\n  18 -> 44 [size =\"44896256\"]\n  19 [size=\"88827904\", alpha=\"0.13\", expect_size=\"44413952\"] \n  20 [size=\"34875392\", alpha=\"0.14\", expect_size=\"17437696\"] \n  20 -> 32 [size =\"17437696\"]\n  20 -> 37 [size =\"17437696\"]\n  20 -> 38 [size =\"17437696\"]\n  20 -> 42 [size =\"17437696\"]\n  21 [size=\"87384064\", alpha=\"0.19\", expect_size=\"43692032\"] \n  21 -> 32 [size =\"43692032\"]\n  21 -> 34 [size =\"43692032\"]\n  21 -> 40 [size =\"43692032\"]\n  21 -> 41 [size =\"43692032\"]\n  21 -> 42 [size =\"43692032\"]\n  21 -> 43 [size =\"43692032\"]\n  22 [size=\"63844352\", alpha=\"0.08\", expect_size=\"31922176\"] \n  22 -> 32 [size =\"31922176\"]\n  22 -> 39 [size =\"31922176\"]\n  22 -> 41 [size =\"31922176\"]\n  22 -> 42 [size =\"31922176\"]\n  23 [size=\"56608768\", alpha=\"0.04\", expect_size=\"28304384\"] \n  23 -> 34 [size =\"28304384\"]\n  23 -> 38 [size =\"28304384\"]\n  23 -> 43 [size =\"28304384\"]\n  23 -> 44 [size =\"28304384\"]\n  24 [size=\"49950720\", alpha=\"0.12\", expect_size=\"24975360\"] \n  24 -> 35 [size =\"24975360\"]\n  24 -> 38 [size =\"24975360\"]\n  24 -> 39 [size =\"24975360\"]\n  24 -> 43 [size =\"24975360\"]\n  25 [size=\"102782976\", alpha=\"0.02\", expect_size=\"51391488\"] \n  25 -> 32 [size =\"51391488\"]\n  25 -> 38 [size =\"51391488\"]\n  25 -> 43 [size =\"51391488\"]\n  26 [size=\"92780544\", alpha=\"0.09\", expect_size=\"46390272\"] \n  26 -> 36 [size =\"46390272\"]\n  26 -> 39 [size =\"46390272\"]\n  26 -> 41 [size =\"46390272\"]\n  27 [size=\"81313792\", alpha=\"0.13\", expect_size=\"40656896\"] \n  27 -> 32 [size =\"40656896\"]\n  27 -> 36 [size =\"40656896\"]\n  27 -> 41 [size =\"40656896\"]\n  28 [size=\"84279296\", alpha=\"0.18\", expect_size=\"42139648\"] \n  28 -> 36 [size =\"42139648\"]\n  28 -> 41 [size =\"42139648\"]\n  29 [size=\"37132288\", alpha=\"0.08\", expect_size=\"18566144\"] \n  29 -> 34 [size =\"18566144\"]\n  29 -> 41 [size =\"18566144\"]\n  29 -> 42 [size =\"18566144\"]\n  30 [size=\"98125824\", alpha=\"0.20\", expect_size=\"49062912\"] \n  30 -> 32 [size =\"49062912\"]\n  30 -> 35 [size =\"49062912\"]\n  30 -> 38 [size =\"49062912\"]\n  30 -> 41 [size =\"49062912\"]\n  30 -> 42 [size =\"49062912\"]\n  31 [size=\"69361664\", alpha=\"0.03\", expect_size=\"34680832\"] \n  31 -> 32 [size =\"34680832\"]\n  31 -> 34 [size =\"34680832\"]\n  31 -> 35 [size =\"34680832\"]\n  31 -> 38 [size =\"34680832\"]\n  31 -> 40 [size =\"34680832\"]\n  31 -> 41 [size =\"34680832\"]\n  31 -> 43 [size =\"34680832\"]\n  31 -> 44 [size =\"34680832\"]\n  32 [size=\"66877440\", alpha=\"0.19\", expect_size=\"33438720\"] \n  32 -> 45 [size =\"33438720\"]\n  32 -> 46 [size =\"33438720\"]\n  32 -> 48 [size =\"33438720\"]\n  32 -> 49 [size =\"33438720\"]\n  33 [size=\"104028160\", alpha=\"0.08\", expect_size=\"52014080\"] \n  33 -> 45 [size =\"52014080\"]\n  33 -> 46 [size =\"52014080\"]\n  33 -> 48 [size =\"52014080\"]\n  34 [size=\"30431232\", alpha=\"0.06\", expect_size=\"15215616\"] \n  34 -> 46 [size =\"15215616\"]\n  34 -> 48 [size =\"15215616\"]\n  34 -> 50 [size =\"15215616\"]\n  35 [size=\"87615488\", alpha=\"0.10\", expect_size=\"43807744\"] \n  36 [size=\"95799296\", alpha=\"0.11\", expect_size=\"47899648\"] \n  36 -> 50 [size =\"47899648\"]\n  37 [size=\"46139392\", alpha=\"0.18\", expect_size=\"23069696\"] \n  37 -> 45 [size =\"23069696\"]\n  37 -> 50 [size =\"23069696\"]\n  38 [size=\"11192320\", alpha=\"0.02\", expect_size=\"5596160\"] \n  38 -> 47 [size =\"5596160\"]\n  39 [size=\"94478336\", alpha=\"0.02\", expect_size=\"47239168\"] \n  40 [size=\"39577600\", alpha=\"0.07\", expect_size=\"19788800\"] \n  40 -> 47 [size =\"19788800\"]\n  40 -> 50 [size =\"19788800\"]\n  41 [size=\"39276544\", alpha=\"0.08\", expect_size=\"19638272\"] \n  41 -> 49 [size =\"19638272\"]\n  42 [size=\"54288384\", alpha=\"0.01\", expect_size=\"27144192\"] \n  42 -> 46 [size =\"27144192\"]\n  42 -> 49 [size =\"27144192\"]\n  43 [size=\"48965632\", alpha=\"0.04\", expect_size=\"24482816\"] \n  43 -> 46 [size =\"24482816\"]\n  44 [size=\"85227520\", alpha=\"0.15\", expect_size=\"42613760\"] \n  45 [size=\"20426752\", alpha=\"0.05\", expect_size=\"10213376\"] \n  46 [size=\"67938304\", alpha=\"0.13\", expect_size=\"33969152\"] \n  47 [size=\"27508736\", alpha=\"0.16\", expect_size=\"13754368\"] \n  48 [size=\"18464768\", alpha=\"0.15\", expect_size=\"9232384\"] \n  49 [size=\"25745408\", alpha=\"0.19\", expect_size=\"12872704\"] \n  50 [size=\"33318912\", alpha=\"0.02\", expect_size=\"16659456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.199.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26189824\", alpha=\"0.20\", expect_size=\"13094912\"] \n  1 -> 2 [size =\"13094912\"]\n  2 [size=\"90660864\", alpha=\"0.11\", expect_size=\"45330432\"] \n  2 -> 3 [size =\"45330432\"]\n  3 [size=\"96878592\", alpha=\"0.08\", expect_size=\"48439296\"] \n  3 -> 4 [size =\"48439296\"]\n  4 [size=\"95000576\", alpha=\"0.02\", expect_size=\"47500288\"] \n  4 -> 5 [size =\"47500288\"]\n  5 [size=\"43970560\", alpha=\"0.01\", expect_size=\"21985280\"] \n  5 -> 6 [size =\"21985280\"]\n  6 [size=\"104669184\", alpha=\"0.02\", expect_size=\"52334592\"] \n  6 -> 7 [size =\"52334592\"]\n  7 [size=\"48762880\", alpha=\"0.09\", expect_size=\"24381440\"] \n  7 -> 8 [size =\"24381440\"]\n  8 [size=\"59660288\", alpha=\"0.13\", expect_size=\"29830144\"] \n  8 -> 9 [size =\"29830144\"]\n  9 [size=\"83855360\", alpha=\"0.09\", expect_size=\"41927680\"] \n  9 -> 10 [size =\"41927680\"]\n  10 [size=\"79673344\", alpha=\"0.13\", expect_size=\"39836672\"] \n  10 -> 11 [size =\"39836672\"]\n  11 [size=\"76720128\", alpha=\"0.20\", expect_size=\"38360064\"] \n  11 -> 12 [size =\"38360064\"]\n  12 [size=\"74405888\", alpha=\"0.05\", expect_size=\"37202944\"] \n  12 -> 13 [size =\"37202944\"]\n  13 [size=\"29630464\", alpha=\"0.18\", expect_size=\"14815232\"] \n  13 -> 14 [size =\"14815232\"]\n  14 [size=\"69726208\", alpha=\"0.07\", expect_size=\"34863104\"] \n  14 -> 15 [size =\"34863104\"]\n  15 [size=\"79925248\", alpha=\"0.06\", expect_size=\"39962624\"] \n  15 -> 16 [size =\"39962624\"]\n  16 [size=\"82741248\", alpha=\"0.19\", expect_size=\"41370624\"] \n  16 -> 17 [size =\"41370624\"]\n  17 [size=\"91570176\", alpha=\"0.18\", expect_size=\"45785088\"] \n  17 -> 18 [size =\"45785088\"]\n  18 [size=\"39516160\", alpha=\"0.03\", expect_size=\"19758080\"] \n  18 -> 19 [size =\"19758080\"]\n  19 [size=\"100096000\", alpha=\"0.18\", expect_size=\"50048000\"] \n  19 -> 20 [size =\"50048000\"]\n  20 [size=\"49076224\", alpha=\"0.11\", expect_size=\"24538112\"] \n  20 -> 21 [size =\"24538112\"]\n  21 [size=\"16203776\", alpha=\"0.08\", expect_size=\"8101888\"] \n  21 -> 22 [size =\"8101888\"]\n  22 [size=\"15007744\", alpha=\"0.02\", expect_size=\"7503872\"] \n  22 -> 23 [size =\"7503872\"]\n  23 [size=\"37160960\", alpha=\"0.13\", expect_size=\"18580480\"] \n  23 -> 24 [size =\"18580480\"]\n  24 [size=\"26763264\", alpha=\"0.03\", expect_size=\"13381632\"] \n  24 -> 25 [size =\"13381632\"]\n  25 [size=\"58910720\", alpha=\"0.00\", expect_size=\"29455360\"] \n  25 -> 26 [size =\"29455360\"]\n  26 [size=\"89081856\", alpha=\"0.17\", expect_size=\"44540928\"] \n  26 -> 27 [size =\"44540928\"]\n  27 [size=\"82325504\", alpha=\"0.02\", expect_size=\"41162752\"] \n  27 -> 28 [size =\"41162752\"]\n  28 [size=\"73142272\", alpha=\"0.17\", expect_size=\"36571136\"] \n  28 -> 29 [size =\"36571136\"]\n  29 [size=\"89452544\", alpha=\"0.08\", expect_size=\"44726272\"] \n  29 -> 30 [size =\"44726272\"]\n  30 [size=\"80701440\", alpha=\"0.14\", expect_size=\"40350720\"] \n  30 -> 31 [size =\"40350720\"]\n  31 [size=\"40183808\", alpha=\"0.14\", expect_size=\"20091904\"] \n  31 -> 32 [size =\"20091904\"]\n  32 [size=\"77975552\", alpha=\"0.07\", expect_size=\"38987776\"] \n  32 -> 33 [size =\"38987776\"]\n  33 [size=\"85508096\", alpha=\"0.04\", expect_size=\"42754048\"] \n  33 -> 34 [size =\"42754048\"]\n  34 [size=\"54806528\", alpha=\"0.14\", expect_size=\"27403264\"] \n  34 -> 35 [size =\"27403264\"]\n  35 [size=\"70381568\", alpha=\"0.18\", expect_size=\"35190784\"] \n  35 -> 36 [size =\"35190784\"]\n  36 [size=\"71352320\", alpha=\"0.18\", expect_size=\"35676160\"] \n  36 -> 37 [size =\"35676160\"]\n  37 [size=\"57528320\", alpha=\"0.15\", expect_size=\"28764160\"] \n  37 -> 38 [size =\"28764160\"]\n  38 [size=\"67188736\", alpha=\"0.18\", expect_size=\"33594368\"] \n  38 -> 39 [size =\"33594368\"]\n  39 [size=\"55140352\", alpha=\"0.01\", expect_size=\"27570176\"] \n  39 -> 40 [size =\"27570176\"]\n  40 [size=\"94752768\", alpha=\"0.11\", expect_size=\"47376384\"] \n  40 -> 41 [size =\"47376384\"]\n  41 [size=\"66467840\", alpha=\"0.03\", expect_size=\"33233920\"] \n  41 -> 42 [size =\"33233920\"]\n  42 [size=\"36524032\", alpha=\"0.15\", expect_size=\"18262016\"] \n  42 -> 43 [size =\"18262016\"]\n  43 [size=\"68839424\", alpha=\"0.13\", expect_size=\"34419712\"] \n  43 -> 44 [size =\"34419712\"]\n  44 [size=\"88188928\", alpha=\"0.15\", expect_size=\"44094464\"] \n  44 -> 45 [size =\"44094464\"]\n  45 [size=\"59441152\", alpha=\"0.07\", expect_size=\"29720576\"] \n  45 -> 46 [size =\"29720576\"]\n  46 [size=\"52039680\", alpha=\"0.15\", expect_size=\"26019840\"] \n  46 -> 47 [size =\"26019840\"]\n  47 [size=\"43868160\", alpha=\"0.19\", expect_size=\"21934080\"] \n  47 -> 48 [size =\"21934080\"]\n  48 [size=\"21639168\", alpha=\"0.16\", expect_size=\"10819584\"] \n  48 -> 49 [size =\"10819584\"]\n  49 [size=\"14383104\", alpha=\"0.10\", expect_size=\"7191552\"] \n  49 -> 50 [size =\"7191552\"]\n  50 [size=\"17344512\", alpha=\"0.18\", expect_size=\"8672256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102965248\", alpha=\"0.18\", expect_size=\"51482624\"] \n  2 [size=\"60542976\", alpha=\"0.00\", expect_size=\"30271488\"] \n  3 [size=\"47771648\", alpha=\"0.03\", expect_size=\"23885824\"] \n  4 [size=\"32534528\", alpha=\"0.00\", expect_size=\"16267264\"] \n  5 [size=\"101289984\", alpha=\"0.20\", expect_size=\"50644992\"] \n  5 -> 50 [size =\"50644992\"]\n  6 [size=\"49852416\", alpha=\"0.13\", expect_size=\"24926208\"] \n  7 [size=\"34314240\", alpha=\"0.15\", expect_size=\"17157120\"] \n  8 [size=\"87164928\", alpha=\"0.06\", expect_size=\"43582464\"] \n  9 [size=\"28035072\", alpha=\"0.00\", expect_size=\"14017536\"] \n  10 [size=\"14895104\", alpha=\"0.00\", expect_size=\"7447552\"] \n  10 -> 50 [size =\"7447552\"]\n  11 [size=\"54073344\", alpha=\"0.19\", expect_size=\"27036672\"] \n  11 -> 50 [size =\"27036672\"]\n  12 [size=\"46905344\", alpha=\"0.04\", expect_size=\"23452672\"] \n  12 -> 50 [size =\"23452672\"]\n  13 [size=\"48943104\", alpha=\"0.12\", expect_size=\"24471552\"] \n  13 -> 50 [size =\"24471552\"]\n  14 [size=\"63369216\", alpha=\"0.13\", expect_size=\"31684608\"] \n  14 -> 50 [size =\"31684608\"]\n  15 [size=\"64217088\", alpha=\"0.18\", expect_size=\"32108544\"] \n  16 [size=\"63946752\", alpha=\"0.06\", expect_size=\"31973376\"] \n  17 [size=\"30840832\", alpha=\"0.18\", expect_size=\"15420416\"] \n  18 [size=\"100386816\", alpha=\"0.15\", expect_size=\"50193408\"] \n  19 [size=\"33339392\", alpha=\"0.02\", expect_size=\"16669696\"] \n  19 -> 50 [size =\"16669696\"]\n  20 [size=\"35153920\", alpha=\"0.18\", expect_size=\"17576960\"] \n  20 -> 50 [size =\"17576960\"]\n  21 [size=\"35721216\", alpha=\"0.13\", expect_size=\"17860608\"] \n  21 -> 50 [size =\"17860608\"]\n  22 [size=\"32688128\", alpha=\"0.19\", expect_size=\"16344064\"] \n  22 -> 50 [size =\"16344064\"]\n  23 [size=\"50245632\", alpha=\"0.13\", expect_size=\"25122816\"] \n  23 -> 50 [size =\"25122816\"]\n  24 [size=\"13420544\", alpha=\"0.12\", expect_size=\"6710272\"] \n  25 [size=\"72488960\", alpha=\"0.10\", expect_size=\"36244480\"] \n  26 [size=\"65396736\", alpha=\"0.16\", expect_size=\"32698368\"] \n  26 -> 50 [size =\"32698368\"]\n  27 [size=\"95365120\", alpha=\"0.08\", expect_size=\"47682560\"] \n  27 -> 50 [size =\"47682560\"]\n  28 [size=\"85094400\", alpha=\"0.15\", expect_size=\"42547200\"] \n  29 [size=\"63285248\", alpha=\"0.07\", expect_size=\"31642624\"] \n  30 [size=\"71204864\", alpha=\"0.19\", expect_size=\"35602432\"] \n  30 -> 50 [size =\"35602432\"]\n  31 [size=\"59979776\", alpha=\"0.00\", expect_size=\"29989888\"] \n  32 [size=\"27719680\", alpha=\"0.10\", expect_size=\"13859840\"] \n  33 [size=\"24479744\", alpha=\"0.07\", expect_size=\"12239872\"] \n  34 [size=\"87547904\", alpha=\"0.16\", expect_size=\"43773952\"] \n  35 [size=\"50231296\", alpha=\"0.16\", expect_size=\"25115648\"] \n  36 [size=\"97701888\", alpha=\"0.07\", expect_size=\"48850944\"] \n  37 [size=\"80586752\", alpha=\"0.03\", expect_size=\"40293376\"] \n  37 -> 50 [size =\"40293376\"]\n  38 [size=\"22714368\", alpha=\"0.17\", expect_size=\"11357184\"] \n  39 [size=\"95137792\", alpha=\"0.17\", expect_size=\"47568896\"] \n  40 [size=\"32290816\", alpha=\"0.01\", expect_size=\"16145408\"] \n  40 -> 50 [size =\"16145408\"]\n  41 [size=\"27328512\", alpha=\"0.12\", expect_size=\"13664256\"] \n  41 -> 50 [size =\"13664256\"]\n  42 [size=\"29464576\", alpha=\"0.06\", expect_size=\"14732288\"] \n  43 [size=\"75122688\", alpha=\"0.10\", expect_size=\"37561344\"] \n  44 [size=\"14014464\", alpha=\"0.13\", expect_size=\"7007232\"] \n  45 [size=\"87771136\", alpha=\"0.10\", expect_size=\"43885568\"] \n  46 [size=\"67008512\", alpha=\"0.19\", expect_size=\"33504256\"] \n  47 [size=\"99559424\", alpha=\"0.06\", expect_size=\"49779712\"] \n  48 [size=\"17037312\", alpha=\"0.08\", expect_size=\"8518656\"] \n  48 -> 50 [size =\"8518656\"]\n  49 [size=\"98084864\", alpha=\"0.02\", expect_size=\"49042432\"] \n  50 [size=\"82442240\", alpha=\"0.08\", expect_size=\"41221120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29378560\", alpha=\"0.10\", expect_size=\"14689280\"] \n  1 -> 7 [size =\"14689280\"]\n  1 -> 8 [size =\"14689280\"]\n  1 -> 11 [size =\"14689280\"]\n  2 [size=\"31838208\", alpha=\"0.18\", expect_size=\"15919104\"] \n  2 -> 6 [size =\"15919104\"]\n  2 -> 11 [size =\"15919104\"]\n  3 [size=\"72255488\", alpha=\"0.14\", expect_size=\"36127744\"] \n  3 -> 6 [size =\"36127744\"]\n  3 -> 11 [size =\"36127744\"]\n  3 -> 12 [size =\"36127744\"]\n  4 [size=\"29220864\", alpha=\"0.13\", expect_size=\"14610432\"] \n  4 -> 8 [size =\"14610432\"]\n  4 -> 9 [size =\"14610432\"]\n  5 [size=\"98615296\", alpha=\"0.05\", expect_size=\"49307648\"] \n  5 -> 6 [size =\"49307648\"]\n  5 -> 7 [size =\"49307648\"]\n  5 -> 8 [size =\"49307648\"]\n  5 -> 10 [size =\"49307648\"]\n  6 [size=\"62234624\", alpha=\"0.00\", expect_size=\"31117312\"] \n  6 -> 13 [size =\"31117312\"]\n  6 -> 17 [size =\"31117312\"]\n  7 [size=\"100319232\", alpha=\"0.09\", expect_size=\"50159616\"] \n  7 -> 13 [size =\"50159616\"]\n  7 -> 14 [size =\"50159616\"]\n  7 -> 15 [size =\"50159616\"]\n  7 -> 17 [size =\"50159616\"]\n  8 [size=\"25903104\", alpha=\"0.14\", expect_size=\"12951552\"] \n  8 -> 16 [size =\"12951552\"]\n  9 [size=\"91828224\", alpha=\"0.10\", expect_size=\"45914112\"] \n  9 -> 13 [size =\"45914112\"]\n  9 -> 15 [size =\"45914112\"]\n  9 -> 16 [size =\"45914112\"]\n  10 [size=\"90173440\", alpha=\"0.01\", expect_size=\"45086720\"] \n  10 -> 13 [size =\"45086720\"]\n  10 -> 15 [size =\"45086720\"]\n  10 -> 17 [size =\"45086720\"]\n  11 [size=\"84176896\", alpha=\"0.12\", expect_size=\"42088448\"] \n  11 -> 15 [size =\"42088448\"]\n  11 -> 15 [size =\"42088448\"]\n  12 [size=\"37156864\", alpha=\"0.10\", expect_size=\"18578432\"] \n  12 -> 13 [size =\"18578432\"]\n  12 -> 15 [size =\"18578432\"]\n  13 [size=\"29880320\", alpha=\"0.06\", expect_size=\"14940160\"] \n  13 -> 18 [size =\"14940160\"]\n  13 -> 19 [size =\"14940160\"]\n  13 -> 20 [size =\"14940160\"]\n  13 -> 23 [size =\"14940160\"]\n  13 -> 24 [size =\"14940160\"]\n  14 [size=\"97325056\", alpha=\"0.17\", expect_size=\"48662528\"] \n  14 -> 18 [size =\"48662528\"]\n  14 -> 19 [size =\"48662528\"]\n  14 -> 20 [size =\"48662528\"]\n  14 -> 21 [size =\"48662528\"]\n  14 -> 22 [size =\"48662528\"]\n  15 [size=\"62916608\", alpha=\"0.03\", expect_size=\"31458304\"] \n  15 -> 18 [size =\"31458304\"]\n  15 -> 19 [size =\"31458304\"]\n  15 -> 20 [size =\"31458304\"]\n  15 -> 21 [size =\"31458304\"]\n  15 -> 23 [size =\"31458304\"]\n  16 [size=\"85491712\", alpha=\"0.01\", expect_size=\"42745856\"] \n  16 -> 18 [size =\"42745856\"]\n  16 -> 19 [size =\"42745856\"]\n  16 -> 22 [size =\"42745856\"]\n  16 -> 23 [size =\"42745856\"]\n  16 -> 23 [size =\"42745856\"]\n  16 -> 25 [size =\"42745856\"]\n  17 [size=\"87566336\", alpha=\"0.12\", expect_size=\"43783168\"] \n  17 -> 18 [size =\"43783168\"]\n  17 -> 19 [size =\"43783168\"]\n  17 -> 23 [size =\"43783168\"]\n  18 [size=\"34785280\", alpha=\"0.14\", expect_size=\"17392640\"] \n  18 -> 27 [size =\"17392640\"]\n  18 -> 28 [size =\"17392640\"]\n  18 -> 30 [size =\"17392640\"]\n  19 [size=\"99549184\", alpha=\"0.20\", expect_size=\"49774592\"] \n  19 -> 29 [size =\"49774592\"]\n  20 [size=\"51499008\", alpha=\"0.09\", expect_size=\"25749504\"] \n  20 -> 27 [size =\"25749504\"]\n  20 -> 29 [size =\"25749504\"]\n  20 -> 30 [size =\"25749504\"]\n  20 -> 34 [size =\"25749504\"]\n  21 [size=\"57671680\", alpha=\"0.03\", expect_size=\"28835840\"] \n  21 -> 29 [size =\"28835840\"]\n  21 -> 30 [size =\"28835840\"]\n  21 -> 30 [size =\"28835840\"]\n  21 -> 31 [size =\"28835840\"]\n  21 -> 33 [size =\"28835840\"]\n  22 [size=\"21878784\", alpha=\"0.01\", expect_size=\"10939392\"] \n  22 -> 28 [size =\"10939392\"]\n  22 -> 30 [size =\"10939392\"]\n  23 [size=\"67584000\", alpha=\"0.12\", expect_size=\"33792000\"] \n  23 -> 26 [size =\"33792000\"]\n  23 -> 30 [size =\"33792000\"]\n  23 -> 32 [size =\"33792000\"]\n  23 -> 33 [size =\"33792000\"]\n  23 -> 34 [size =\"33792000\"]\n  24 [size=\"94877696\", alpha=\"0.08\", expect_size=\"47438848\"] \n  24 -> 27 [size =\"47438848\"]\n  24 -> 30 [size =\"47438848\"]\n  24 -> 33 [size =\"47438848\"]\n  24 -> 34 [size =\"47438848\"]\n  25 [size=\"79073280\", alpha=\"0.01\", expect_size=\"39536640\"] \n  25 -> 27 [size =\"39536640\"]\n  25 -> 28 [size =\"39536640\"]\n  26 [size=\"94771200\", alpha=\"0.06\", expect_size=\"47385600\"] \n  26 -> 35 [size =\"47385600\"]\n  26 -> 36 [size =\"47385600\"]\n  26 -> 37 [size =\"47385600\"]\n  26 -> 39 [size =\"47385600\"]\n  27 [size=\"99012608\", alpha=\"0.10\", expect_size=\"49506304\"] \n  27 -> 36 [size =\"49506304\"]\n  27 -> 37 [size =\"49506304\"]\n  27 -> 38 [size =\"49506304\"]\n  27 -> 39 [size =\"49506304\"]\n  28 [size=\"61401088\", alpha=\"0.17\", expect_size=\"30700544\"] \n  28 -> 35 [size =\"30700544\"]\n  28 -> 36 [size =\"30700544\"]\n  28 -> 37 [size =\"30700544\"]\n  28 -> 38 [size =\"30700544\"]\n  29 [size=\"33220608\", alpha=\"0.02\", expect_size=\"16610304\"] \n  29 -> 35 [size =\"16610304\"]\n  29 -> 36 [size =\"16610304\"]\n  29 -> 37 [size =\"16610304\"]\n  29 -> 38 [size =\"16610304\"]\n  30 [size=\"31381504\", alpha=\"0.03\", expect_size=\"15690752\"] \n  30 -> 36 [size =\"15690752\"]\n  30 -> 37 [size =\"15690752\"]\n  30 -> 37 [size =\"15690752\"]\n  30 -> 39 [size =\"15690752\"]\n  31 [size=\"74983424\", alpha=\"0.20\", expect_size=\"37491712\"] \n  31 -> 37 [size =\"37491712\"]\n  31 -> 39 [size =\"37491712\"]\n  32 [size=\"88549376\", alpha=\"0.03\", expect_size=\"44274688\"] \n  33 [size=\"93431808\", alpha=\"0.09\", expect_size=\"46715904\"] \n  33 -> 35 [size =\"46715904\"]\n  33 -> 39 [size =\"46715904\"]\n  34 [size=\"57026560\", alpha=\"0.14\", expect_size=\"28513280\"] \n  35 [size=\"92446720\", alpha=\"0.10\", expect_size=\"46223360\"] \n  35 -> 40 [size =\"46223360\"]\n  35 -> 41 [size =\"46223360\"]\n  35 -> 42 [size =\"46223360\"]\n  36 [size=\"99072000\", alpha=\"0.03\", expect_size=\"49536000\"] \n  36 -> 42 [size =\"49536000\"]\n  36 -> 43 [size =\"49536000\"]\n  36 -> 44 [size =\"49536000\"]\n  37 [size=\"34285568\", alpha=\"0.11\", expect_size=\"17142784\"] \n  37 -> 40 [size =\"17142784\"]\n  37 -> 42 [size =\"17142784\"]\n  37 -> 43 [size =\"17142784\"]\n  37 -> 44 [size =\"17142784\"]\n  37 -> 45 [size =\"17142784\"]\n  37 -> 46 [size =\"17142784\"]\n  38 [size=\"82288640\", alpha=\"0.05\", expect_size=\"41144320\"] \n  38 -> 40 [size =\"41144320\"]\n  38 -> 41 [size =\"41144320\"]\n  38 -> 42 [size =\"41144320\"]\n  38 -> 43 [size =\"41144320\"]\n  38 -> 44 [size =\"41144320\"]\n  38 -> 45 [size =\"41144320\"]\n  38 -> 46 [size =\"41144320\"]\n  39 [size=\"69758976\", alpha=\"0.17\", expect_size=\"34879488\"] \n  39 -> 40 [size =\"34879488\"]\n  39 -> 41 [size =\"34879488\"]\n  39 -> 44 [size =\"34879488\"]\n  39 -> 45 [size =\"34879488\"]\n  40 [size=\"78036992\", alpha=\"0.18\", expect_size=\"39018496\"] \n  40 -> 47 [size =\"39018496\"]\n  40 -> 48 [size =\"39018496\"]\n  40 -> 49 [size =\"39018496\"]\n  40 -> 50 [size =\"39018496\"]\n  41 [size=\"92442624\", alpha=\"0.09\", expect_size=\"46221312\"] \n  41 -> 48 [size =\"46221312\"]\n  41 -> 50 [size =\"46221312\"]\n  42 [size=\"92293120\", alpha=\"0.03\", expect_size=\"46146560\"] \n  43 [size=\"104263680\", alpha=\"0.09\", expect_size=\"52131840\"] \n  43 -> 47 [size =\"52131840\"]\n  43 -> 50 [size =\"52131840\"]\n  44 [size=\"53374976\", alpha=\"0.12\", expect_size=\"26687488\"] \n  44 -> 50 [size =\"26687488\"]\n  45 [size=\"26468352\", alpha=\"0.10\", expect_size=\"13234176\"] \n  46 [size=\"75974656\", alpha=\"0.06\", expect_size=\"37987328\"] \n  46 -> 47 [size =\"37987328\"]\n  46 -> 48 [size =\"37987328\"]\n  46 -> 49 [size =\"37987328\"]\n  47 [size=\"88158208\", alpha=\"0.01\", expect_size=\"44079104\"] \n  48 [size=\"45725696\", alpha=\"0.06\", expect_size=\"22862848\"] \n  49 [size=\"67352576\", alpha=\"0.17\", expect_size=\"33676288\"] \n  50 [size=\"53360640\", alpha=\"0.11\", expect_size=\"26680320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.200.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44684800\", alpha=\"0.11\", expect_size=\"17873920\"] \n  1 -> 3 [size =\"17873920\"]\n  2 [size=\"28418560\", alpha=\"0.20\", expect_size=\"11367424\"] \n  2 -> 3 [size =\"11367424\"]\n  3 [size=\"48325120\", alpha=\"0.03\", expect_size=\"19330048\"] \n  3 -> 4 [size =\"19330048\"]\n  3 -> 5 [size =\"19330048\"]\n  4 [size=\"59046400\", alpha=\"0.06\", expect_size=\"23618560\"] \n  4 -> 6 [size =\"23618560\"]\n  4 -> 7 [size =\"23618560\"]\n  5 [size=\"65218560\", alpha=\"0.13\", expect_size=\"26087424\"] \n  5 -> 6 [size =\"26087424\"]\n  5 -> 7 [size =\"26087424\"]\n  6 [size=\"119713280\", alpha=\"0.12\", expect_size=\"47885312\"] \n  6 -> 8 [size =\"47885312\"]\n  6 -> 9 [size =\"47885312\"]\n  7 [size=\"98122240\", alpha=\"0.10\", expect_size=\"39248896\"] \n  7 -> 9 [size =\"39248896\"]\n  8 [size=\"31900160\", alpha=\"0.18\", expect_size=\"12760064\"] \n  8 -> 10 [size =\"12760064\"]\n  9 [size=\"62487040\", alpha=\"0.10\", expect_size=\"24994816\"] \n  9 -> 10 [size =\"24994816\"]\n  10 [size=\"40396800\", alpha=\"0.18\", expect_size=\"16158720\"] \n  10 -> 11 [size =\"16158720\"]\n  10 -> 12 [size =\"16158720\"]\n  10 -> 13 [size =\"16158720\"]\n  10 -> 14 [size =\"16158720\"]\n  11 [size=\"104465920\", alpha=\"0.20\", expect_size=\"41786368\"] \n  11 -> 15 [size =\"41786368\"]\n  11 -> 17 [size =\"41786368\"]\n  12 [size=\"53419520\", alpha=\"0.10\", expect_size=\"21367808\"] \n  12 -> 17 [size =\"21367808\"]\n  13 [size=\"53276160\", alpha=\"0.05\", expect_size=\"21310464\"] \n  13 -> 16 [size =\"21310464\"]\n  14 [size=\"69130240\", alpha=\"0.12\", expect_size=\"27652096\"] \n  14 -> 16 [size =\"27652096\"]\n  15 [size=\"107374080\", alpha=\"0.07\", expect_size=\"42949632\"] \n  15 -> 18 [size =\"42949632\"]\n  15 -> 20 [size =\"42949632\"]\n  15 -> 21 [size =\"42949632\"]\n  16 [size=\"65016320\", alpha=\"0.02\", expect_size=\"26006528\"] \n  16 -> 19 [size =\"26006528\"]\n  16 -> 20 [size =\"26006528\"]\n  17 [size=\"20021760\", alpha=\"0.16\", expect_size=\"8008704\"] \n  17 -> 19 [size =\"8008704\"]\n  18 [size=\"77253120\", alpha=\"0.03\", expect_size=\"30901248\"] \n  18 -> 23 [size =\"30901248\"]\n  18 -> 25 [size =\"30901248\"]\n  19 [size=\"67338240\", alpha=\"0.01\", expect_size=\"26935296\"] \n  19 -> 23 [size =\"26935296\"]\n  20 [size=\"128593920\", alpha=\"0.07\", expect_size=\"51437568\"] \n  20 -> 22 [size =\"51437568\"]\n  20 -> 23 [size =\"51437568\"]\n  20 -> 24 [size =\"51437568\"]\n  20 -> 25 [size =\"51437568\"]\n  21 [size=\"116861440\", alpha=\"0.19\", expect_size=\"46744576\"] \n  21 -> 22 [size =\"46744576\"]\n  21 -> 24 [size =\"46744576\"]\n  21 -> 25 [size =\"46744576\"]\n  22 [size=\"116157440\", alpha=\"0.13\", expect_size=\"46462976\"] \n  22 -> 26 [size =\"46462976\"]\n  22 -> 27 [size =\"46462976\"]\n  23 [size=\"54497280\", alpha=\"0.13\", expect_size=\"21798912\"] \n  23 -> 27 [size =\"21798912\"]\n  24 [size=\"82406400\", alpha=\"0.01\", expect_size=\"32962560\"] \n  24 -> 26 [size =\"32962560\"]\n  25 [size=\"36948480\", alpha=\"0.18\", expect_size=\"14779392\"] \n  25 -> 26 [size =\"14779392\"]\n  25 -> 27 [size =\"14779392\"]\n  26 [size=\"75791360\", alpha=\"0.13\", expect_size=\"30316544\"] \n  26 -> 29 [size =\"30316544\"]\n  26 -> 30 [size =\"30316544\"]\n  27 [size=\"89807360\", alpha=\"0.02\", expect_size=\"35922944\"] \n  27 -> 28 [size =\"35922944\"]\n  27 -> 29 [size =\"35922944\"]\n  27 -> 30 [size =\"35922944\"]\n  28 [size=\"66234880\", alpha=\"0.14\", expect_size=\"26493952\"] \n  28 -> 31 [size =\"26493952\"]\n  29 [size=\"81768960\", alpha=\"0.15\", expect_size=\"32707584\"] \n  29 -> 32 [size =\"32707584\"]\n  30 [size=\"88358400\", alpha=\"0.01\", expect_size=\"35343360\"] \n  30 -> 31 [size =\"35343360\"]\n  30 -> 32 [size =\"35343360\"]\n  31 [size=\"13591040\", alpha=\"0.01\", expect_size=\"5436416\"] \n  31 -> 33 [size =\"5436416\"]\n  32 [size=\"124976640\", alpha=\"0.09\", expect_size=\"49990656\"] \n  32 -> 33 [size =\"49990656\"]\n  32 -> 34 [size =\"49990656\"]\n  33 [size=\"83932160\", alpha=\"0.04\", expect_size=\"33572864\"] \n  33 -> 37 [size =\"33572864\"]\n  34 [size=\"43642880\", alpha=\"0.08\", expect_size=\"17457152\"] \n  34 -> 35 [size =\"17457152\"]\n  34 -> 36 [size =\"17457152\"]\n  34 -> 37 [size =\"17457152\"]\n  35 [size=\"50048000\", alpha=\"0.08\", expect_size=\"20019200\"] \n  35 -> 38 [size =\"20019200\"]\n  35 -> 39 [size =\"20019200\"]\n  36 [size=\"37296640\", alpha=\"0.17\", expect_size=\"14918656\"] \n  36 -> 38 [size =\"14918656\"]\n  37 [size=\"111992320\", alpha=\"0.07\", expect_size=\"44796928\"] \n  37 -> 38 [size =\"44796928\"]\n  37 -> 39 [size =\"44796928\"]\n  37 -> 40 [size =\"44796928\"]\n  38 [size=\"123225600\", alpha=\"0.08\", expect_size=\"49290240\"] \n  38 -> 42 [size =\"49290240\"]\n  38 -> 43 [size =\"49290240\"]\n  39 [size=\"89789440\", alpha=\"0.18\", expect_size=\"35915776\"] \n  39 -> 41 [size =\"35915776\"]\n  40 [size=\"61063680\", alpha=\"0.07\", expect_size=\"24425472\"] \n  40 -> 41 [size =\"24425472\"]\n  40 -> 42 [size =\"24425472\"]\n  41 [size=\"64340480\", alpha=\"0.15\", expect_size=\"25736192\"] \n  41 -> 44 [size =\"25736192\"]\n  41 -> 45 [size =\"25736192\"]\n  42 [size=\"73011200\", alpha=\"0.19\", expect_size=\"29204480\"] \n  42 -> 44 [size =\"29204480\"]\n  43 [size=\"127390720\", alpha=\"0.11\", expect_size=\"50956288\"] \n  43 -> 45 [size =\"50956288\"]\n  44 [size=\"31723520\", alpha=\"0.15\", expect_size=\"12689408\"] \n  44 -> 47 [size =\"12689408\"]\n  45 [size=\"77957120\", alpha=\"0.02\", expect_size=\"31182848\"] \n  45 -> 46 [size =\"31182848\"]\n  45 -> 47 [size =\"31182848\"]\n  46 [size=\"124436480\", alpha=\"0.00\", expect_size=\"49774592\"] \n  46 -> 48 [size =\"49774592\"]\n  46 -> 49 [size =\"49774592\"]\n  46 -> 50 [size =\"49774592\"]\n  47 [size=\"105103360\", alpha=\"0.11\", expect_size=\"42041344\"] \n  47 -> 48 [size =\"42041344\"]\n  47 -> 49 [size =\"42041344\"]\n  47 -> 50 [size =\"42041344\"]\n  48 [size=\"26874880\", alpha=\"0.12\", expect_size=\"10749952\"] \n  49 [size=\"71864320\", alpha=\"0.03\", expect_size=\"28745728\"] \n  50 [size=\"58373120\", alpha=\"0.08\", expect_size=\"23349248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.201.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62736384\", alpha=\"0.14\", expect_size=\"31368192\"] \n  1 -> 2 [size =\"31368192\"]\n  2 [size=\"14272512\", alpha=\"0.13\", expect_size=\"7136256\"] \n  2 -> 3 [size =\"7136256\"]\n  3 [size=\"11792384\", alpha=\"0.07\", expect_size=\"5896192\"] \n  3 -> 4 [size =\"5896192\"]\n  4 [size=\"43778048\", alpha=\"0.19\", expect_size=\"21889024\"] \n  4 -> 5 [size =\"21889024\"]\n  5 [size=\"20099072\", alpha=\"0.00\", expect_size=\"10049536\"] \n  5 -> 6 [size =\"10049536\"]\n  6 [size=\"87123968\", alpha=\"0.02\", expect_size=\"43561984\"] \n  6 -> 7 [size =\"43561984\"]\n  7 [size=\"31879168\", alpha=\"0.04\", expect_size=\"15939584\"] \n  7 -> 8 [size =\"15939584\"]\n  8 [size=\"74909696\", alpha=\"0.05\", expect_size=\"37454848\"] \n  8 -> 9 [size =\"37454848\"]\n  9 [size=\"46172160\", alpha=\"0.08\", expect_size=\"23086080\"] \n  9 -> 10 [size =\"23086080\"]\n  10 [size=\"20224000\", alpha=\"0.09\", expect_size=\"10112000\"] \n  10 -> 11 [size =\"10112000\"]\n  11 [size=\"20287488\", alpha=\"0.09\", expect_size=\"10143744\"] \n  11 -> 12 [size =\"10143744\"]\n  12 [size=\"87447552\", alpha=\"0.06\", expect_size=\"43723776\"] \n  12 -> 13 [size =\"43723776\"]\n  13 [size=\"55769088\", alpha=\"0.08\", expect_size=\"27884544\"] \n  13 -> 14 [size =\"27884544\"]\n  14 [size=\"86548480\", alpha=\"0.11\", expect_size=\"43274240\"] \n  14 -> 15 [size =\"43274240\"]\n  15 [size=\"81766400\", alpha=\"0.11\", expect_size=\"40883200\"] \n  15 -> 16 [size =\"40883200\"]\n  16 [size=\"83279872\", alpha=\"0.17\", expect_size=\"41639936\"] \n  16 -> 17 [size =\"41639936\"]\n  17 [size=\"92848128\", alpha=\"0.06\", expect_size=\"46424064\"] \n  17 -> 18 [size =\"46424064\"]\n  18 [size=\"16590848\", alpha=\"0.07\", expect_size=\"8295424\"] \n  18 -> 19 [size =\"8295424\"]\n  19 [size=\"41078784\", alpha=\"0.07\", expect_size=\"20539392\"] \n  19 -> 20 [size =\"20539392\"]\n  20 [size=\"79454208\", alpha=\"0.12\", expect_size=\"39727104\"] \n  20 -> 21 [size =\"39727104\"]\n  21 [size=\"29732864\", alpha=\"0.07\", expect_size=\"14866432\"] \n  21 -> 22 [size =\"14866432\"]\n  22 [size=\"72955904\", alpha=\"0.04\", expect_size=\"36477952\"] \n  22 -> 23 [size =\"36477952\"]\n  23 [size=\"103374848\", alpha=\"0.00\", expect_size=\"51687424\"] \n  23 -> 24 [size =\"51687424\"]\n  24 [size=\"48084992\", alpha=\"0.04\", expect_size=\"24042496\"] \n  24 -> 25 [size =\"24042496\"]\n  25 [size=\"98576384\", alpha=\"0.09\", expect_size=\"49288192\"] \n  25 -> 26 [size =\"49288192\"]\n  26 [size=\"57669632\", alpha=\"0.11\", expect_size=\"28834816\"] \n  26 -> 27 [size =\"28834816\"]\n  27 [size=\"42827776\", alpha=\"0.18\", expect_size=\"21413888\"] \n  27 -> 28 [size =\"21413888\"]\n  28 [size=\"68820992\", alpha=\"0.18\", expect_size=\"34410496\"] \n  28 -> 29 [size =\"34410496\"]\n  29 [size=\"99811328\", alpha=\"0.05\", expect_size=\"49905664\"] \n  29 -> 30 [size =\"49905664\"]\n  30 [size=\"40534016\", alpha=\"0.15\", expect_size=\"20267008\"] \n  30 -> 31 [size =\"20267008\"]\n  31 [size=\"96313344\", alpha=\"0.07\", expect_size=\"48156672\"] \n  31 -> 32 [size =\"48156672\"]\n  32 [size=\"36286464\", alpha=\"0.15\", expect_size=\"18143232\"] \n  32 -> 33 [size =\"18143232\"]\n  33 [size=\"52983808\", alpha=\"0.12\", expect_size=\"26491904\"] \n  33 -> 34 [size =\"26491904\"]\n  34 [size=\"53342208\", alpha=\"0.06\", expect_size=\"26671104\"] \n  34 -> 35 [size =\"26671104\"]\n  35 [size=\"70651904\", alpha=\"0.15\", expect_size=\"35325952\"] \n  35 -> 36 [size =\"35325952\"]\n  36 [size=\"20158464\", alpha=\"0.19\", expect_size=\"10079232\"] \n  36 -> 37 [size =\"10079232\"]\n  37 [size=\"72867840\", alpha=\"0.01\", expect_size=\"36433920\"] \n  37 -> 38 [size =\"36433920\"]\n  38 [size=\"61435904\", alpha=\"0.04\", expect_size=\"30717952\"] \n  38 -> 39 [size =\"30717952\"]\n  39 [size=\"50282496\", alpha=\"0.14\", expect_size=\"25141248\"] \n  39 -> 40 [size =\"25141248\"]\n  40 [size=\"75098112\", alpha=\"0.18\", expect_size=\"37549056\"] \n  40 -> 41 [size =\"37549056\"]\n  41 [size=\"51251200\", alpha=\"0.06\", expect_size=\"25625600\"] \n  41 -> 42 [size =\"25625600\"]\n  42 [size=\"82915328\", alpha=\"0.08\", expect_size=\"41457664\"] \n  42 -> 43 [size =\"41457664\"]\n  43 [size=\"58308608\", alpha=\"0.09\", expect_size=\"29154304\"] \n  43 -> 44 [size =\"29154304\"]\n  44 [size=\"22716416\", alpha=\"0.18\", expect_size=\"11358208\"] \n  44 -> 45 [size =\"11358208\"]\n  45 [size=\"52203520\", alpha=\"0.06\", expect_size=\"26101760\"] \n  45 -> 46 [size =\"26101760\"]\n  46 [size=\"29306880\", alpha=\"0.04\", expect_size=\"14653440\"] \n  46 -> 47 [size =\"14653440\"]\n  47 [size=\"26818560\", alpha=\"0.08\", expect_size=\"13409280\"] \n  47 -> 48 [size =\"13409280\"]\n  48 [size=\"32735232\", alpha=\"0.05\", expect_size=\"16367616\"] \n  48 -> 49 [size =\"16367616\"]\n  49 [size=\"53157888\", alpha=\"0.01\", expect_size=\"26578944\"] \n  49 -> 50 [size =\"26578944\"]\n  50 [size=\"24313856\", alpha=\"0.04\", expect_size=\"12156928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.202.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104345600\", alpha=\"0.17\", expect_size=\"41738240\"] \n  1 -> 2 [size =\"41738240\"]\n  2 [size=\"91358720\", alpha=\"0.15\", expect_size=\"36543488\"] \n  2 -> 3 [size =\"36543488\"]\n  3 [size=\"24048640\", alpha=\"0.06\", expect_size=\"9619456\"] \n  3 -> 4 [size =\"9619456\"]\n  4 [size=\"26429440\", alpha=\"0.03\", expect_size=\"10571776\"] \n  4 -> 5 [size =\"10571776\"]\n  5 [size=\"43648000\", alpha=\"0.11\", expect_size=\"17459200\"] \n  5 -> 6 [size =\"17459200\"]\n  6 [size=\"13688320\", alpha=\"0.18\", expect_size=\"5475328\"] \n  6 -> 7 [size =\"5475328\"]\n  7 [size=\"33853440\", alpha=\"0.18\", expect_size=\"13541376\"] \n  7 -> 8 [size =\"13541376\"]\n  8 [size=\"78671360\", alpha=\"0.04\", expect_size=\"31468544\"] \n  8 -> 9 [size =\"31468544\"]\n  9 [size=\"69260800\", alpha=\"0.01\", expect_size=\"27704320\"] \n  9 -> 10 [size =\"27704320\"]\n  10 [size=\"53568000\", alpha=\"0.17\", expect_size=\"21427200\"] \n  10 -> 11 [size =\"21427200\"]\n  11 [size=\"115729920\", alpha=\"0.14\", expect_size=\"46291968\"] \n  11 -> 12 [size =\"46291968\"]\n  12 [size=\"97356800\", alpha=\"0.13\", expect_size=\"38942720\"] \n  12 -> 13 [size =\"38942720\"]\n  13 [size=\"68341760\", alpha=\"0.06\", expect_size=\"27336704\"] \n  13 -> 14 [size =\"27336704\"]\n  14 [size=\"104302080\", alpha=\"0.12\", expect_size=\"41720832\"] \n  14 -> 15 [size =\"41720832\"]\n  15 [size=\"122972160\", alpha=\"0.15\", expect_size=\"49188864\"] \n  15 -> 16 [size =\"49188864\"]\n  16 [size=\"71155200\", alpha=\"0.10\", expect_size=\"28462080\"] \n  16 -> 17 [size =\"28462080\"]\n  17 [size=\"62177280\", alpha=\"0.05\", expect_size=\"24870912\"] \n  17 -> 18 [size =\"24870912\"]\n  18 [size=\"50836480\", alpha=\"0.03\", expect_size=\"20334592\"] \n  18 -> 19 [size =\"20334592\"]\n  19 [size=\"72711680\", alpha=\"0.00\", expect_size=\"29084672\"] \n  19 -> 20 [size =\"29084672\"]\n  20 [size=\"76349440\", alpha=\"0.09\", expect_size=\"30539776\"] \n  20 -> 21 [size =\"30539776\"]\n  21 [size=\"55769600\", alpha=\"0.14\", expect_size=\"22307840\"] \n  21 -> 22 [size =\"22307840\"]\n  22 [size=\"18593280\", alpha=\"0.11\", expect_size=\"7437312\"] \n  22 -> 23 [size =\"7437312\"]\n  23 [size=\"97372160\", alpha=\"0.11\", expect_size=\"38948864\"] \n  23 -> 24 [size =\"38948864\"]\n  24 [size=\"14789120\", alpha=\"0.13\", expect_size=\"5915648\"] \n  24 -> 25 [size =\"5915648\"]\n  25 [size=\"84520960\", alpha=\"0.20\", expect_size=\"33808384\"] \n  25 -> 26 [size =\"33808384\"]\n  26 [size=\"54942720\", alpha=\"0.07\", expect_size=\"21977088\"] \n  26 -> 27 [size =\"21977088\"]\n  27 [size=\"111137280\", alpha=\"0.18\", expect_size=\"44454912\"] \n  27 -> 28 [size =\"44454912\"]\n  28 [size=\"25525760\", alpha=\"0.19\", expect_size=\"10210304\"] \n  28 -> 29 [size =\"10210304\"]\n  29 [size=\"40281600\", alpha=\"0.11\", expect_size=\"16112640\"] \n  29 -> 30 [size =\"16112640\"]\n  30 [size=\"40519680\", alpha=\"0.09\", expect_size=\"16207872\"] \n  30 -> 31 [size =\"16207872\"]\n  31 [size=\"93875200\", alpha=\"0.04\", expect_size=\"37550080\"] \n  31 -> 32 [size =\"37550080\"]\n  32 [size=\"55656960\", alpha=\"0.14\", expect_size=\"22262784\"] \n  32 -> 33 [size =\"22262784\"]\n  33 [size=\"122081280\", alpha=\"0.13\", expect_size=\"48832512\"] \n  33 -> 34 [size =\"48832512\"]\n  34 [size=\"68165120\", alpha=\"0.08\", expect_size=\"27266048\"] \n  34 -> 35 [size =\"27266048\"]\n  35 [size=\"25192960\", alpha=\"0.01\", expect_size=\"10077184\"] \n  35 -> 36 [size =\"10077184\"]\n  36 [size=\"23708160\", alpha=\"0.04\", expect_size=\"9483264\"] \n  36 -> 37 [size =\"9483264\"]\n  37 [size=\"64291840\", alpha=\"0.16\", expect_size=\"25716736\"] \n  37 -> 38 [size =\"25716736\"]\n  38 [size=\"49728000\", alpha=\"0.14\", expect_size=\"19891200\"] \n  38 -> 39 [size =\"19891200\"]\n  39 [size=\"45580800\", alpha=\"0.02\", expect_size=\"18232320\"] \n  39 -> 40 [size =\"18232320\"]\n  40 [size=\"108006400\", alpha=\"0.00\", expect_size=\"43202560\"] \n  40 -> 41 [size =\"43202560\"]\n  41 [size=\"41538560\", alpha=\"0.06\", expect_size=\"16615424\"] \n  41 -> 42 [size =\"16615424\"]\n  42 [size=\"66767360\", alpha=\"0.13\", expect_size=\"26706944\"] \n  42 -> 43 [size =\"26706944\"]\n  43 [size=\"32012800\", alpha=\"0.14\", expect_size=\"12805120\"] \n  43 -> 44 [size =\"12805120\"]\n  44 [size=\"110476800\", alpha=\"0.16\", expect_size=\"44190720\"] \n  44 -> 45 [size =\"44190720\"]\n  45 [size=\"39462400\", alpha=\"0.09\", expect_size=\"15784960\"] \n  45 -> 46 [size =\"15784960\"]\n  46 [size=\"46796800\", alpha=\"0.10\", expect_size=\"18718720\"] \n  46 -> 47 [size =\"18718720\"]\n  47 [size=\"72568320\", alpha=\"0.07\", expect_size=\"29027328\"] \n  47 -> 48 [size =\"29027328\"]\n  48 [size=\"47882240\", alpha=\"0.06\", expect_size=\"19152896\"] \n  48 -> 49 [size =\"19152896\"]\n  49 [size=\"128435200\", alpha=\"0.10\", expect_size=\"51374080\"] \n  49 -> 50 [size =\"51374080\"]\n  50 [size=\"19937280\", alpha=\"0.19\", expect_size=\"7974912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.203.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93708288\", alpha=\"0.03\", expect_size=\"46854144\"] \n  1 -> 6 [size =\"46854144\"]\n  1 -> 7 [size =\"46854144\"]\n  1 -> 8 [size =\"46854144\"]\n  1 -> 11 [size =\"46854144\"]\n  2 [size=\"90417152\", alpha=\"0.01\", expect_size=\"45208576\"] \n  2 -> 7 [size =\"45208576\"]\n  2 -> 8 [size =\"45208576\"]\n  2 -> 10 [size =\"45208576\"]\n  3 [size=\"92657664\", alpha=\"0.10\", expect_size=\"46328832\"] \n  3 -> 9 [size =\"46328832\"]\n  3 -> 11 [size =\"46328832\"]\n  3 -> 12 [size =\"46328832\"]\n  4 [size=\"15374336\", alpha=\"0.04\", expect_size=\"7687168\"] \n  4 -> 6 [size =\"7687168\"]\n  4 -> 8 [size =\"7687168\"]\n  4 -> 9 [size =\"7687168\"]\n  4 -> 12 [size =\"7687168\"]\n  5 [size=\"98433024\", alpha=\"0.07\", expect_size=\"49216512\"] \n  5 -> 6 [size =\"49216512\"]\n  5 -> 9 [size =\"49216512\"]\n  5 -> 10 [size =\"49216512\"]\n  5 -> 12 [size =\"49216512\"]\n  6 [size=\"93147136\", alpha=\"0.01\", expect_size=\"46573568\"] \n  7 [size=\"52908032\", alpha=\"0.06\", expect_size=\"26454016\"] \n  7 -> 13 [size =\"26454016\"]\n  7 -> 15 [size =\"26454016\"]\n  7 -> 20 [size =\"26454016\"]\n  8 [size=\"66541568\", alpha=\"0.16\", expect_size=\"33270784\"] \n  8 -> 13 [size =\"33270784\"]\n  8 -> 14 [size =\"33270784\"]\n  8 -> 17 [size =\"33270784\"]\n  8 -> 18 [size =\"33270784\"]\n  9 [size=\"33996800\", alpha=\"0.18\", expect_size=\"16998400\"] \n  9 -> 13 [size =\"16998400\"]\n  9 -> 14 [size =\"16998400\"]\n  9 -> 15 [size =\"16998400\"]\n  10 [size=\"72034304\", alpha=\"0.20\", expect_size=\"36017152\"] \n  10 -> 14 [size =\"36017152\"]\n  10 -> 15 [size =\"36017152\"]\n  11 [size=\"93607936\", alpha=\"0.20\", expect_size=\"46803968\"] \n  11 -> 15 [size =\"46803968\"]\n  11 -> 16 [size =\"46803968\"]\n  11 -> 19 [size =\"46803968\"]\n  11 -> 20 [size =\"46803968\"]\n  12 [size=\"11149312\", alpha=\"0.01\", expect_size=\"5574656\"] \n  12 -> 13 [size =\"5574656\"]\n  12 -> 14 [size =\"5574656\"]\n  12 -> 19 [size =\"5574656\"]\n  12 -> 20 [size =\"5574656\"]\n  13 [size=\"15675392\", alpha=\"0.10\", expect_size=\"7837696\"] \n  13 -> 24 [size =\"7837696\"]\n  13 -> 25 [size =\"7837696\"]\n  13 -> 27 [size =\"7837696\"]\n  14 [size=\"60862464\", alpha=\"0.10\", expect_size=\"30431232\"] \n  14 -> 22 [size =\"30431232\"]\n  14 -> 23 [size =\"30431232\"]\n  14 -> 26 [size =\"30431232\"]\n  15 [size=\"80730112\", alpha=\"0.16\", expect_size=\"40365056\"] \n  15 -> 21 [size =\"40365056\"]\n  15 -> 23 [size =\"40365056\"]\n  15 -> 24 [size =\"40365056\"]\n  15 -> 25 [size =\"40365056\"]\n  15 -> 26 [size =\"40365056\"]\n  16 [size=\"21018624\", alpha=\"0.14\", expect_size=\"10509312\"] \n  16 -> 21 [size =\"10509312\"]\n  16 -> 23 [size =\"10509312\"]\n  16 -> 25 [size =\"10509312\"]\n  17 [size=\"27670528\", alpha=\"0.09\", expect_size=\"13835264\"] \n  17 -> 21 [size =\"13835264\"]\n  17 -> 23 [size =\"13835264\"]\n  17 -> 26 [size =\"13835264\"]\n  17 -> 28 [size =\"13835264\"]\n  18 [size=\"54949888\", alpha=\"0.10\", expect_size=\"27474944\"] \n  19 [size=\"38328320\", alpha=\"0.06\", expect_size=\"19164160\"] \n  20 [size=\"28422144\", alpha=\"0.05\", expect_size=\"14211072\"] \n  21 [size=\"27324416\", alpha=\"0.01\", expect_size=\"13662208\"] \n  21 -> 31 [size =\"13662208\"]\n  22 [size=\"26523648\", alpha=\"0.15\", expect_size=\"13261824\"] \n  22 -> 30 [size =\"13261824\"]\n  22 -> 31 [size =\"13261824\"]\n  23 [size=\"33214464\", alpha=\"0.06\", expect_size=\"16607232\"] \n  23 -> 31 [size =\"16607232\"]\n  24 [size=\"78979072\", alpha=\"0.18\", expect_size=\"39489536\"] \n  24 -> 31 [size =\"39489536\"]\n  25 [size=\"33052672\", alpha=\"0.09\", expect_size=\"16526336\"] \n  25 -> 29 [size =\"16526336\"]\n  26 [size=\"15579136\", alpha=\"0.17\", expect_size=\"7789568\"] \n  26 -> 29 [size =\"7789568\"]\n  27 [size=\"82622464\", alpha=\"0.14\", expect_size=\"41311232\"] \n  27 -> 29 [size =\"41311232\"]\n  27 -> 31 [size =\"41311232\"]\n  28 [size=\"28366848\", alpha=\"0.03\", expect_size=\"14183424\"] \n  29 [size=\"74094592\", alpha=\"0.18\", expect_size=\"37047296\"] \n  29 -> 32 [size =\"37047296\"]\n  29 -> 35 [size =\"37047296\"]\n  29 -> 37 [size =\"37047296\"]\n  30 [size=\"101165056\", alpha=\"0.05\", expect_size=\"50582528\"] \n  30 -> 32 [size =\"50582528\"]\n  30 -> 33 [size =\"50582528\"]\n  31 [size=\"29366272\", alpha=\"0.09\", expect_size=\"14683136\"] \n  31 -> 34 [size =\"14683136\"]\n  31 -> 36 [size =\"14683136\"]\n  32 [size=\"36290560\", alpha=\"0.14\", expect_size=\"18145280\"] \n  32 -> 39 [size =\"18145280\"]\n  32 -> 40 [size =\"18145280\"]\n  33 [size=\"13129728\", alpha=\"0.00\", expect_size=\"6564864\"] \n  33 -> 38 [size =\"6564864\"]\n  33 -> 39 [size =\"6564864\"]\n  34 [size=\"42053632\", alpha=\"0.17\", expect_size=\"21026816\"] \n  34 -> 39 [size =\"21026816\"]\n  34 -> 41 [size =\"21026816\"]\n  35 [size=\"33583104\", alpha=\"0.09\", expect_size=\"16791552\"] \n  35 -> 38 [size =\"16791552\"]\n  35 -> 41 [size =\"16791552\"]\n  36 [size=\"75665408\", alpha=\"0.02\", expect_size=\"37832704\"] \n  36 -> 38 [size =\"37832704\"]\n  36 -> 39 [size =\"37832704\"]\n  36 -> 41 [size =\"37832704\"]\n  37 [size=\"62220288\", alpha=\"0.20\", expect_size=\"31110144\"] \n  37 -> 40 [size =\"31110144\"]\n  38 [size=\"35670016\", alpha=\"0.07\", expect_size=\"17835008\"] \n  38 -> 42 [size =\"17835008\"]\n  38 -> 43 [size =\"17835008\"]\n  38 -> 44 [size =\"17835008\"]\n  38 -> 45 [size =\"17835008\"]\n  39 [size=\"52074496\", alpha=\"0.19\", expect_size=\"26037248\"] \n  39 -> 43 [size =\"26037248\"]\n  40 [size=\"40572928\", alpha=\"0.16\", expect_size=\"20286464\"] \n  40 -> 44 [size =\"20286464\"]\n  40 -> 45 [size =\"20286464\"]\n  41 [size=\"62713856\", alpha=\"0.16\", expect_size=\"31356928\"] \n  41 -> 42 [size =\"31356928\"]\n  41 -> 43 [size =\"31356928\"]\n  42 [size=\"12879872\", alpha=\"0.20\", expect_size=\"6439936\"] \n  42 -> 50 [size =\"6439936\"]\n  43 [size=\"80480256\", alpha=\"0.08\", expect_size=\"40240128\"] \n  43 -> 46 [size =\"40240128\"]\n  43 -> 48 [size =\"40240128\"]\n  43 -> 49 [size =\"40240128\"]\n  44 [size=\"81958912\", alpha=\"0.11\", expect_size=\"40979456\"] \n  44 -> 48 [size =\"40979456\"]\n  44 -> 49 [size =\"40979456\"]\n  45 [size=\"67696640\", alpha=\"0.18\", expect_size=\"33848320\"] \n  45 -> 46 [size =\"33848320\"]\n  45 -> 47 [size =\"33848320\"]\n  45 -> 48 [size =\"33848320\"]\n  45 -> 49 [size =\"33848320\"]\n  45 -> 50 [size =\"33848320\"]\n  46 [size=\"13565952\", alpha=\"0.07\", expect_size=\"6782976\"] \n  47 [size=\"24471552\", alpha=\"0.11\", expect_size=\"12235776\"] \n  48 [size=\"23228416\", alpha=\"0.19\", expect_size=\"11614208\"] \n  49 [size=\"54300672\", alpha=\"0.00\", expect_size=\"27150336\"] \n  50 [size=\"51159040\", alpha=\"0.01\", expect_size=\"25579520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.204.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149739520\", alpha=\"0.10\", expect_size=\"44921856\"] \n  1 -> 12 [size =\"44921856\"]\n  1 -> 13 [size =\"44921856\"]\n  2 [size=\"167137280\", alpha=\"0.04\", expect_size=\"50141184\"] \n  2 -> 8 [size =\"50141184\"]\n  2 -> 10 [size =\"50141184\"]\n  2 -> 14 [size =\"50141184\"]\n  2 -> 15 [size =\"50141184\"]\n  3 [size=\"22647467\", alpha=\"0.16\", expect_size=\"6794240\"] \n  3 -> 8 [size =\"6794240\"]\n  3 -> 9 [size =\"6794240\"]\n  3 -> 11 [size =\"6794240\"]\n  3 -> 14 [size =\"6794240\"]\n  3 -> 15 [size =\"6794240\"]\n  4 [size=\"18933760\", alpha=\"0.07\", expect_size=\"5680128\"] \n  4 -> 8 [size =\"5680128\"]\n  4 -> 9 [size =\"5680128\"]\n  4 -> 13 [size =\"5680128\"]\n  4 -> 14 [size =\"5680128\"]\n  5 [size=\"152340480\", alpha=\"0.14\", expect_size=\"45702144\"] \n  5 -> 8 [size =\"45702144\"]\n  5 -> 13 [size =\"45702144\"]\n  5 -> 14 [size =\"45702144\"]\n  6 [size=\"35085653\", alpha=\"0.07\", expect_size=\"10525696\"] \n  6 -> 8 [size =\"10525696\"]\n  6 -> 11 [size =\"10525696\"]\n  6 -> 15 [size =\"10525696\"]\n  7 [size=\"94989653\", alpha=\"0.08\", expect_size=\"28496896\"] \n  8 [size=\"162167467\", alpha=\"0.19\", expect_size=\"48650240\"] \n  9 [size=\"140369920\", alpha=\"0.17\", expect_size=\"42110976\"] \n  9 -> 17 [size =\"42110976\"]\n  9 -> 18 [size =\"42110976\"]\n  10 [size=\"52254720\", alpha=\"0.04\", expect_size=\"15676416\"] \n  10 -> 16 [size =\"15676416\"]\n  10 -> 17 [size =\"15676416\"]\n  10 -> 18 [size =\"15676416\"]\n  11 [size=\"159849813\", alpha=\"0.16\", expect_size=\"47954944\"] \n  11 -> 16 [size =\"47954944\"]\n  11 -> 17 [size =\"47954944\"]\n  11 -> 19 [size =\"47954944\"]\n  11 -> 20 [size =\"47954944\"]\n  12 [size=\"84814507\", alpha=\"0.19\", expect_size=\"25444352\"] \n  12 -> 17 [size =\"25444352\"]\n  12 -> 19 [size =\"25444352\"]\n  12 -> 19 [size =\"25444352\"]\n  13 [size=\"113766400\", alpha=\"0.14\", expect_size=\"34129920\"] \n  13 -> 16 [size =\"34129920\"]\n  13 -> 18 [size =\"34129920\"]\n  13 -> 19 [size =\"34129920\"]\n  14 [size=\"78953813\", alpha=\"0.03\", expect_size=\"23686144\"] \n  14 -> 16 [size =\"23686144\"]\n  14 -> 19 [size =\"23686144\"]\n  14 -> 19 [size =\"23686144\"]\n  14 -> 20 [size =\"23686144\"]\n  15 [size=\"134628693\", alpha=\"0.14\", expect_size=\"40388608\"] \n  15 -> 16 [size =\"40388608\"]\n  15 -> 17 [size =\"40388608\"]\n  15 -> 18 [size =\"40388608\"]\n  15 -> 20 [size =\"40388608\"]\n  16 [size=\"88941227\", alpha=\"0.01\", expect_size=\"26682368\"] \n  16 -> 21 [size =\"26682368\"]\n  16 -> 22 [size =\"26682368\"]\n  16 -> 27 [size =\"26682368\"]\n  16 -> 28 [size =\"26682368\"]\n  17 [size=\"145128107\", alpha=\"0.08\", expect_size=\"43538432\"] \n  17 -> 21 [size =\"43538432\"]\n  17 -> 27 [size =\"43538432\"]\n  18 [size=\"51326293\", alpha=\"0.05\", expect_size=\"15397888\"] \n  18 -> 22 [size =\"15397888\"]\n  18 -> 24 [size =\"15397888\"]\n  18 -> 25 [size =\"15397888\"]\n  18 -> 28 [size =\"15397888\"]\n  19 [size=\"45994667\", alpha=\"0.06\", expect_size=\"13798400\"] \n  19 -> 22 [size =\"13798400\"]\n  19 -> 26 [size =\"13798400\"]\n  19 -> 28 [size =\"13798400\"]\n  20 [size=\"22456320\", alpha=\"0.15\", expect_size=\"6736896\"] \n  20 -> 21 [size =\"6736896\"]\n  20 -> 22 [size =\"6736896\"]\n  20 -> 23 [size =\"6736896\"]\n  20 -> 24 [size =\"6736896\"]\n  20 -> 25 [size =\"6736896\"]\n  20 -> 27 [size =\"6736896\"]\n  21 [size=\"57668267\", alpha=\"0.01\", expect_size=\"17300480\"] \n  21 -> 29 [size =\"17300480\"]\n  21 -> 34 [size =\"17300480\"]\n  22 [size=\"22572373\", alpha=\"0.05\", expect_size=\"6771712\"] \n  22 -> 32 [size =\"6771712\"]\n  22 -> 34 [size =\"6771712\"]\n  23 [size=\"168632320\", alpha=\"0.11\", expect_size=\"50589696\"] \n  24 [size=\"124784640\", alpha=\"0.16\", expect_size=\"37435392\"] \n  24 -> 29 [size =\"37435392\"]\n  24 -> 31 [size =\"37435392\"]\n  24 -> 34 [size =\"37435392\"]\n  25 [size=\"150374400\", alpha=\"0.19\", expect_size=\"45112320\"] \n  25 -> 33 [size =\"45112320\"]\n  25 -> 34 [size =\"45112320\"]\n  26 [size=\"104290987\", alpha=\"0.04\", expect_size=\"31287296\"] \n  27 [size=\"111650133\", alpha=\"0.18\", expect_size=\"33495040\"] \n  27 -> 29 [size =\"33495040\"]\n  27 -> 32 [size =\"33495040\"]\n  28 [size=\"173441707\", alpha=\"0.12\", expect_size=\"52032512\"] \n  28 -> 29 [size =\"52032512\"]\n  28 -> 30 [size =\"52032512\"]\n  28 -> 34 [size =\"52032512\"]\n  29 [size=\"51609600\", alpha=\"0.00\", expect_size=\"15482880\"] \n  29 -> 35 [size =\"15482880\"]\n  29 -> 39 [size =\"15482880\"]\n  30 [size=\"101847040\", alpha=\"0.14\", expect_size=\"30554112\"] \n  30 -> 35 [size =\"30554112\"]\n  30 -> 39 [size =\"30554112\"]\n  31 [size=\"63989760\", alpha=\"0.05\", expect_size=\"19196928\"] \n  31 -> 36 [size =\"19196928\"]\n  32 [size=\"70294187\", alpha=\"0.05\", expect_size=\"21088256\"] \n  32 -> 36 [size =\"21088256\"]\n  32 -> 38 [size =\"21088256\"]\n  32 -> 39 [size =\"21088256\"]\n  32 -> 40 [size =\"21088256\"]\n  33 [size=\"113141760\", alpha=\"0.17\", expect_size=\"33942528\"] \n  33 -> 35 [size =\"33942528\"]\n  33 -> 37 [size =\"33942528\"]\n  34 [size=\"40417280\", alpha=\"0.17\", expect_size=\"12125184\"] \n  34 -> 37 [size =\"12125184\"]\n  34 -> 38 [size =\"12125184\"]\n  35 [size=\"168151040\", alpha=\"0.12\", expect_size=\"50445312\"] \n  35 -> 42 [size =\"50445312\"]\n  35 -> 43 [size =\"50445312\"]\n  35 -> 44 [size =\"50445312\"]\n  36 [size=\"159351467\", alpha=\"0.15\", expect_size=\"47805440\"] \n  36 -> 41 [size =\"47805440\"]\n  36 -> 46 [size =\"47805440\"]\n  37 [size=\"31631360\", alpha=\"0.16\", expect_size=\"9489408\"] \n  37 -> 41 [size =\"9489408\"]\n  37 -> 43 [size =\"9489408\"]\n  37 -> 45 [size =\"9489408\"]\n  38 [size=\"19790507\", alpha=\"0.20\", expect_size=\"5937152\"] \n  38 -> 45 [size =\"5937152\"]\n  39 [size=\"111237120\", alpha=\"0.08\", expect_size=\"33371136\"] \n  39 -> 41 [size =\"33371136\"]\n  39 -> 42 [size =\"33371136\"]\n  39 -> 43 [size =\"33371136\"]\n  39 -> 44 [size =\"33371136\"]\n  39 -> 45 [size =\"33371136\"]\n  40 [size=\"114295467\", alpha=\"0.17\", expect_size=\"34288640\"] \n  40 -> 43 [size =\"34288640\"]\n  40 -> 44 [size =\"34288640\"]\n  41 [size=\"63740587\", alpha=\"0.11\", expect_size=\"19122176\"] \n  41 -> 47 [size =\"19122176\"]\n  42 [size=\"101952853\", alpha=\"0.05\", expect_size=\"30585856\"] \n  42 -> 47 [size =\"30585856\"]\n  42 -> 48 [size =\"30585856\"]\n  43 [size=\"138987520\", alpha=\"0.19\", expect_size=\"41696256\"] \n  43 -> 48 [size =\"41696256\"]\n  43 -> 50 [size =\"41696256\"]\n  44 [size=\"113851733\", alpha=\"0.06\", expect_size=\"34155520\"] \n  44 -> 47 [size =\"34155520\"]\n  45 [size=\"88019627\", alpha=\"0.10\", expect_size=\"26405888\"] \n  45 -> 47 [size =\"26405888\"]\n  45 -> 50 [size =\"26405888\"]\n  46 [size=\"21364053\", alpha=\"0.05\", expect_size=\"6409216\"] \n  46 -> 48 [size =\"6409216\"]\n  46 -> 49 [size =\"6409216\"]\n  47 [size=\"142632960\", alpha=\"0.13\", expect_size=\"42789888\"] \n  48 [size=\"107625813\", alpha=\"0.20\", expect_size=\"32287744\"] \n  49 [size=\"107479040\", alpha=\"0.11\", expect_size=\"32243712\"] \n  50 [size=\"170711040\", alpha=\"0.13\", expect_size=\"51213312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.205.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100816896\", alpha=\"0.01\", expect_size=\"50408448\"] \n  1 -> 9 [size =\"50408448\"]\n  1 -> 11 [size =\"50408448\"]\n  2 [size=\"84242432\", alpha=\"0.06\", expect_size=\"42121216\"] \n  2 -> 11 [size =\"42121216\"]\n  3 [size=\"59881472\", alpha=\"0.13\", expect_size=\"29940736\"] \n  3 -> 12 [size =\"29940736\"]\n  4 [size=\"62048256\", alpha=\"0.04\", expect_size=\"31024128\"] \n  4 -> 10 [size =\"31024128\"]\n  5 [size=\"58822656\", alpha=\"0.02\", expect_size=\"29411328\"] \n  6 [size=\"92205056\", alpha=\"0.17\", expect_size=\"46102528\"] \n  6 -> 12 [size =\"46102528\"]\n  7 [size=\"97875968\", alpha=\"0.02\", expect_size=\"48937984\"] \n  7 -> 9 [size =\"48937984\"]\n  7 -> 12 [size =\"48937984\"]\n  8 [size=\"63668224\", alpha=\"0.18\", expect_size=\"31834112\"] \n  9 [size=\"81618944\", alpha=\"0.08\", expect_size=\"40809472\"] \n  9 -> 13 [size =\"40809472\"]\n  9 -> 16 [size =\"40809472\"]\n  9 -> 17 [size =\"40809472\"]\n  9 -> 18 [size =\"40809472\"]\n  9 -> 20 [size =\"40809472\"]\n  10 [size=\"16590848\", alpha=\"0.00\", expect_size=\"8295424\"] \n  10 -> 13 [size =\"8295424\"]\n  10 -> 18 [size =\"8295424\"]\n  11 [size=\"42807296\", alpha=\"0.05\", expect_size=\"21403648\"] \n  11 -> 15 [size =\"21403648\"]\n  11 -> 21 [size =\"21403648\"]\n  12 [size=\"47169536\", alpha=\"0.04\", expect_size=\"23584768\"] \n  12 -> 13 [size =\"23584768\"]\n  12 -> 14 [size =\"23584768\"]\n  12 -> 15 [size =\"23584768\"]\n  12 -> 17 [size =\"23584768\"]\n  12 -> 19 [size =\"23584768\"]\n  12 -> 20 [size =\"23584768\"]\n  13 [size=\"74803200\", alpha=\"0.08\", expect_size=\"37401600\"] \n  13 -> 23 [size =\"37401600\"]\n  14 [size=\"41592832\", alpha=\"0.05\", expect_size=\"20796416\"] \n  14 -> 24 [size =\"20796416\"]\n  14 -> 25 [size =\"20796416\"]\n  15 [size=\"59064320\", alpha=\"0.18\", expect_size=\"29532160\"] \n  15 -> 22 [size =\"29532160\"]\n  15 -> 23 [size =\"29532160\"]\n  15 -> 25 [size =\"29532160\"]\n  16 [size=\"70782976\", alpha=\"0.05\", expect_size=\"35391488\"] \n  16 -> 26 [size =\"35391488\"]\n  17 [size=\"54437888\", alpha=\"0.10\", expect_size=\"27218944\"] \n  17 -> 22 [size =\"27218944\"]\n  17 -> 23 [size =\"27218944\"]\n  18 [size=\"64055296\", alpha=\"0.01\", expect_size=\"32027648\"] \n  18 -> 22 [size =\"32027648\"]\n  18 -> 27 [size =\"32027648\"]\n  18 -> 28 [size =\"32027648\"]\n  19 [size=\"53100544\", alpha=\"0.11\", expect_size=\"26550272\"] \n  19 -> 22 [size =\"26550272\"]\n  19 -> 27 [size =\"26550272\"]\n  19 -> 28 [size =\"26550272\"]\n  20 [size=\"91957248\", alpha=\"0.05\", expect_size=\"45978624\"] \n  20 -> 22 [size =\"45978624\"]\n  20 -> 23 [size =\"45978624\"]\n  21 [size=\"93038592\", alpha=\"0.20\", expect_size=\"46519296\"] \n  21 -> 22 [size =\"46519296\"]\n  21 -> 25 [size =\"46519296\"]\n  22 [size=\"21207040\", alpha=\"0.09\", expect_size=\"10603520\"] \n  22 -> 31 [size =\"10603520\"]\n  22 -> 33 [size =\"10603520\"]\n  23 [size=\"40022016\", alpha=\"0.09\", expect_size=\"20011008\"] \n  24 [size=\"79544320\", alpha=\"0.01\", expect_size=\"39772160\"] \n  24 -> 30 [size =\"39772160\"]\n  24 -> 32 [size =\"39772160\"]\n  25 [size=\"103694336\", alpha=\"0.02\", expect_size=\"51847168\"] \n  26 [size=\"96133120\", alpha=\"0.01\", expect_size=\"48066560\"] \n  26 -> 31 [size =\"48066560\"]\n  27 [size=\"23699456\", alpha=\"0.18\", expect_size=\"11849728\"] \n  27 -> 29 [size =\"11849728\"]\n  27 -> 31 [size =\"11849728\"]\n  28 [size=\"69556224\", alpha=\"0.06\", expect_size=\"34778112\"] \n  28 -> 31 [size =\"34778112\"]\n  28 -> 33 [size =\"34778112\"]\n  29 [size=\"76181504\", alpha=\"0.10\", expect_size=\"38090752\"] \n  29 -> 37 [size =\"38090752\"]\n  30 [size=\"31356928\", alpha=\"0.15\", expect_size=\"15678464\"] \n  30 -> 34 [size =\"15678464\"]\n  31 [size=\"57018368\", alpha=\"0.06\", expect_size=\"28509184\"] \n  31 -> 38 [size =\"28509184\"]\n  32 [size=\"54751232\", alpha=\"0.06\", expect_size=\"27375616\"] \n  32 -> 34 [size =\"27375616\"]\n  32 -> 35 [size =\"27375616\"]\n  32 -> 36 [size =\"27375616\"]\n  32 -> 38 [size =\"27375616\"]\n  33 [size=\"98318336\", alpha=\"0.19\", expect_size=\"49159168\"] \n  33 -> 34 [size =\"49159168\"]\n  33 -> 35 [size =\"49159168\"]\n  33 -> 37 [size =\"49159168\"]\n  34 [size=\"48367616\", alpha=\"0.18\", expect_size=\"24183808\"] \n  34 -> 39 [size =\"24183808\"]\n  34 -> 41 [size =\"24183808\"]\n  34 -> 45 [size =\"24183808\"]\n  35 [size=\"50839552\", alpha=\"0.08\", expect_size=\"25419776\"] \n  35 -> 39 [size =\"25419776\"]\n  35 -> 41 [size =\"25419776\"]\n  35 -> 43 [size =\"25419776\"]\n  35 -> 44 [size =\"25419776\"]\n  36 [size=\"59697152\", alpha=\"0.11\", expect_size=\"29848576\"] \n  36 -> 39 [size =\"29848576\"]\n  36 -> 40 [size =\"29848576\"]\n  36 -> 41 [size =\"29848576\"]\n  36 -> 42 [size =\"29848576\"]\n  37 [size=\"62289920\", alpha=\"0.03\", expect_size=\"31144960\"] \n  37 -> 39 [size =\"31144960\"]\n  38 [size=\"51634176\", alpha=\"0.07\", expect_size=\"25817088\"] \n  38 -> 40 [size =\"25817088\"]\n  38 -> 41 [size =\"25817088\"]\n  38 -> 45 [size =\"25817088\"]\n  39 [size=\"80916480\", alpha=\"0.19\", expect_size=\"40458240\"] \n  40 [size=\"32526336\", alpha=\"0.09\", expect_size=\"16263168\"] \n  40 -> 48 [size =\"16263168\"]\n  40 -> 50 [size =\"16263168\"]\n  41 [size=\"101312512\", alpha=\"0.16\", expect_size=\"50656256\"] \n  41 -> 47 [size =\"50656256\"]\n  41 -> 48 [size =\"50656256\"]\n  41 -> 50 [size =\"50656256\"]\n  42 [size=\"36483072\", alpha=\"0.06\", expect_size=\"18241536\"] \n  42 -> 47 [size =\"18241536\"]\n  42 -> 48 [size =\"18241536\"]\n  42 -> 49 [size =\"18241536\"]\n  43 [size=\"63469568\", alpha=\"0.01\", expect_size=\"31734784\"] \n  43 -> 47 [size =\"31734784\"]\n  43 -> 48 [size =\"31734784\"]\n  43 -> 49 [size =\"31734784\"]\n  44 [size=\"57843712\", alpha=\"0.12\", expect_size=\"28921856\"] \n  44 -> 47 [size =\"28921856\"]\n  44 -> 49 [size =\"28921856\"]\n  44 -> 49 [size =\"28921856\"]\n  44 -> 50 [size =\"28921856\"]\n  45 [size=\"50714624\", alpha=\"0.02\", expect_size=\"25357312\"] \n  45 -> 46 [size =\"25357312\"]\n  45 -> 50 [size =\"25357312\"]\n  46 [size=\"90660864\", alpha=\"0.10\", expect_size=\"45330432\"] \n  47 [size=\"49235968\", alpha=\"0.01\", expect_size=\"24617984\"] \n  48 [size=\"64768000\", alpha=\"0.05\", expect_size=\"32384000\"] \n  49 [size=\"96450560\", alpha=\"0.02\", expect_size=\"48225280\"] \n  50 [size=\"92530688\", alpha=\"0.04\", expect_size=\"46265344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.206.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28743680\", alpha=\"0.19\", expect_size=\"11497472\"] \n  1 -> 2 [size =\"11497472\"]\n  2 [size=\"88962560\", alpha=\"0.15\", expect_size=\"35585024\"] \n  2 -> 3 [size =\"35585024\"]\n  3 [size=\"60966400\", alpha=\"0.07\", expect_size=\"24386560\"] \n  3 -> 4 [size =\"24386560\"]\n  4 [size=\"32688640\", alpha=\"0.03\", expect_size=\"13075456\"] \n  4 -> 5 [size =\"13075456\"]\n  5 [size=\"62694400\", alpha=\"0.18\", expect_size=\"25077760\"] \n  5 -> 6 [size =\"25077760\"]\n  6 [size=\"111874560\", alpha=\"0.18\", expect_size=\"44749824\"] \n  6 -> 7 [size =\"44749824\"]\n  7 [size=\"21299200\", alpha=\"0.09\", expect_size=\"8519680\"] \n  7 -> 8 [size =\"8519680\"]\n  8 [size=\"35607040\", alpha=\"0.02\", expect_size=\"14242816\"] \n  8 -> 9 [size =\"14242816\"]\n  9 [size=\"79900160\", alpha=\"0.15\", expect_size=\"31960064\"] \n  9 -> 10 [size =\"31960064\"]\n  10 [size=\"80314880\", alpha=\"0.09\", expect_size=\"32125952\"] \n  10 -> 11 [size =\"32125952\"]\n  11 [size=\"46645760\", alpha=\"0.05\", expect_size=\"18658304\"] \n  11 -> 12 [size =\"18658304\"]\n  12 [size=\"43361280\", alpha=\"0.14\", expect_size=\"17344512\"] \n  12 -> 13 [size =\"17344512\"]\n  13 [size=\"129036800\", alpha=\"0.09\", expect_size=\"51614720\"] \n  13 -> 14 [size =\"51614720\"]\n  14 [size=\"52313600\", alpha=\"0.17\", expect_size=\"20925440\"] \n  14 -> 15 [size =\"20925440\"]\n  15 [size=\"68894720\", alpha=\"0.19\", expect_size=\"27557888\"] \n  15 -> 16 [size =\"27557888\"]\n  16 [size=\"57351680\", alpha=\"0.08\", expect_size=\"22940672\"] \n  16 -> 17 [size =\"22940672\"]\n  17 [size=\"44500480\", alpha=\"0.00\", expect_size=\"17800192\"] \n  17 -> 18 [size =\"17800192\"]\n  18 [size=\"96455680\", alpha=\"0.18\", expect_size=\"38582272\"] \n  18 -> 19 [size =\"38582272\"]\n  19 [size=\"106580480\", alpha=\"0.19\", expect_size=\"42632192\"] \n  19 -> 20 [size =\"42632192\"]\n  20 [size=\"74311680\", alpha=\"0.02\", expect_size=\"29724672\"] \n  20 -> 21 [size =\"29724672\"]\n  21 [size=\"124830720\", alpha=\"0.08\", expect_size=\"49932288\"] \n  21 -> 22 [size =\"49932288\"]\n  22 [size=\"38745600\", alpha=\"0.07\", expect_size=\"15498240\"] \n  22 -> 23 [size =\"15498240\"]\n  23 [size=\"121349120\", alpha=\"0.14\", expect_size=\"48539648\"] \n  23 -> 24 [size =\"48539648\"]\n  24 [size=\"56629760\", alpha=\"0.05\", expect_size=\"22651904\"] \n  24 -> 25 [size =\"22651904\"]\n  25 [size=\"40616960\", alpha=\"0.04\", expect_size=\"16246784\"] \n  25 -> 26 [size =\"16246784\"]\n  26 [size=\"34636800\", alpha=\"0.19\", expect_size=\"13854720\"] \n  26 -> 27 [size =\"13854720\"]\n  27 [size=\"79265280\", alpha=\"0.16\", expect_size=\"31706112\"] \n  27 -> 28 [size =\"31706112\"]\n  28 [size=\"80529920\", alpha=\"0.17\", expect_size=\"32211968\"] \n  28 -> 29 [size =\"32211968\"]\n  29 [size=\"68912640\", alpha=\"0.09\", expect_size=\"27565056\"] \n  29 -> 30 [size =\"27565056\"]\n  30 [size=\"61273600\", alpha=\"0.13\", expect_size=\"24509440\"] \n  30 -> 31 [size =\"24509440\"]\n  31 [size=\"74155520\", alpha=\"0.02\", expect_size=\"29662208\"] \n  31 -> 32 [size =\"29662208\"]\n  32 [size=\"123194880\", alpha=\"0.16\", expect_size=\"49277952\"] \n  32 -> 33 [size =\"49277952\"]\n  33 [size=\"48320000\", alpha=\"0.10\", expect_size=\"19328000\"] \n  33 -> 34 [size =\"19328000\"]\n  34 [size=\"15354880\", alpha=\"0.11\", expect_size=\"6141952\"] \n  34 -> 35 [size =\"6141952\"]\n  35 [size=\"43883520\", alpha=\"0.01\", expect_size=\"17553408\"] \n  35 -> 36 [size =\"17553408\"]\n  36 [size=\"65528320\", alpha=\"0.18\", expect_size=\"26211328\"] \n  36 -> 37 [size =\"26211328\"]\n  37 [size=\"61094400\", alpha=\"0.01\", expect_size=\"24437760\"] \n  37 -> 38 [size =\"24437760\"]\n  38 [size=\"38778880\", alpha=\"0.18\", expect_size=\"15511552\"] \n  38 -> 39 [size =\"15511552\"]\n  39 [size=\"21081600\", alpha=\"0.11\", expect_size=\"8432640\"] \n  39 -> 40 [size =\"8432640\"]\n  40 [size=\"74798080\", alpha=\"0.14\", expect_size=\"29919232\"] \n  40 -> 41 [size =\"29919232\"]\n  41 [size=\"31208960\", alpha=\"0.17\", expect_size=\"12483584\"] \n  41 -> 42 [size =\"12483584\"]\n  42 [size=\"41820160\", alpha=\"0.03\", expect_size=\"16728064\"] \n  42 -> 43 [size =\"16728064\"]\n  43 [size=\"18918400\", alpha=\"0.08\", expect_size=\"7567360\"] \n  43 -> 44 [size =\"7567360\"]\n  44 [size=\"78438400\", alpha=\"0.00\", expect_size=\"31375360\"] \n  44 -> 45 [size =\"31375360\"]\n  45 [size=\"23656960\", alpha=\"0.17\", expect_size=\"9462784\"] \n  45 -> 46 [size =\"9462784\"]\n  46 [size=\"28328960\", alpha=\"0.18\", expect_size=\"11331584\"] \n  46 -> 47 [size =\"11331584\"]\n  47 [size=\"18734080\", alpha=\"0.10\", expect_size=\"7493632\"] \n  47 -> 48 [size =\"7493632\"]\n  48 [size=\"26263040\", alpha=\"0.13\", expect_size=\"10505216\"] \n  48 -> 49 [size =\"10505216\"]\n  49 [size=\"16304640\", alpha=\"0.06\", expect_size=\"6521856\"] \n  49 -> 50 [size =\"6521856\"]\n  50 [size=\"82329600\", alpha=\"0.07\", expect_size=\"32931840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.207.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54065152\", alpha=\"0.05\", expect_size=\"27032576\"] \n  1 -> 2 [size =\"27032576\"]\n  2 [size=\"95115264\", alpha=\"0.19\", expect_size=\"47557632\"] \n  2 -> 3 [size =\"47557632\"]\n  3 [size=\"70916096\", alpha=\"0.10\", expect_size=\"35458048\"] \n  3 -> 4 [size =\"35458048\"]\n  4 [size=\"21053440\", alpha=\"0.11\", expect_size=\"10526720\"] \n  4 -> 5 [size =\"10526720\"]\n  5 [size=\"85905408\", alpha=\"0.14\", expect_size=\"42952704\"] \n  5 -> 6 [size =\"42952704\"]\n  6 [size=\"85501952\", alpha=\"0.10\", expect_size=\"42750976\"] \n  6 -> 7 [size =\"42750976\"]\n  7 [size=\"89272320\", alpha=\"0.10\", expect_size=\"44636160\"] \n  7 -> 8 [size =\"44636160\"]\n  8 [size=\"52162560\", alpha=\"0.19\", expect_size=\"26081280\"] \n  8 -> 9 [size =\"26081280\"]\n  9 [size=\"21377024\", alpha=\"0.07\", expect_size=\"10688512\"] \n  9 -> 10 [size =\"10688512\"]\n  10 [size=\"43409408\", alpha=\"0.08\", expect_size=\"21704704\"] \n  10 -> 11 [size =\"21704704\"]\n  11 [size=\"76070912\", alpha=\"0.05\", expect_size=\"38035456\"] \n  11 -> 12 [size =\"38035456\"]\n  12 [size=\"97841152\", alpha=\"0.09\", expect_size=\"48920576\"] \n  12 -> 13 [size =\"48920576\"]\n  13 [size=\"94683136\", alpha=\"0.18\", expect_size=\"47341568\"] \n  13 -> 14 [size =\"47341568\"]\n  14 [size=\"48281600\", alpha=\"0.14\", expect_size=\"24140800\"] \n  14 -> 15 [size =\"24140800\"]\n  15 [size=\"101566464\", alpha=\"0.13\", expect_size=\"50783232\"] \n  15 -> 16 [size =\"50783232\"]\n  16 [size=\"73623552\", alpha=\"0.16\", expect_size=\"36811776\"] \n  16 -> 17 [size =\"36811776\"]\n  17 [size=\"28385280\", alpha=\"0.13\", expect_size=\"14192640\"] \n  17 -> 18 [size =\"14192640\"]\n  18 [size=\"77367296\", alpha=\"0.15\", expect_size=\"38683648\"] \n  18 -> 19 [size =\"38683648\"]\n  19 [size=\"72595456\", alpha=\"0.12\", expect_size=\"36297728\"] \n  19 -> 20 [size =\"36297728\"]\n  20 [size=\"13418496\", alpha=\"0.01\", expect_size=\"6709248\"] \n  20 -> 21 [size =\"6709248\"]\n  21 [size=\"51503104\", alpha=\"0.20\", expect_size=\"25751552\"] \n  21 -> 22 [size =\"25751552\"]\n  22 [size=\"74143744\", alpha=\"0.17\", expect_size=\"37071872\"] \n  22 -> 23 [size =\"37071872\"]\n  23 [size=\"20457472\", alpha=\"0.06\", expect_size=\"10228736\"] \n  23 -> 24 [size =\"10228736\"]\n  24 [size=\"104660992\", alpha=\"0.18\", expect_size=\"52330496\"] \n  24 -> 25 [size =\"52330496\"]\n  25 [size=\"74217472\", alpha=\"0.06\", expect_size=\"37108736\"] \n  25 -> 26 [size =\"37108736\"]\n  26 [size=\"39235584\", alpha=\"0.09\", expect_size=\"19617792\"] \n  26 -> 27 [size =\"19617792\"]\n  27 [size=\"19906560\", alpha=\"0.10\", expect_size=\"9953280\"] \n  27 -> 28 [size =\"9953280\"]\n  28 [size=\"79632384\", alpha=\"0.19\", expect_size=\"39816192\"] \n  28 -> 29 [size =\"39816192\"]\n  29 [size=\"53817344\", alpha=\"0.11\", expect_size=\"26908672\"] \n  29 -> 30 [size =\"26908672\"]\n  30 [size=\"13760512\", alpha=\"0.09\", expect_size=\"6880256\"] \n  30 -> 31 [size =\"6880256\"]\n  31 [size=\"18888704\", alpha=\"0.01\", expect_size=\"9444352\"] \n  31 -> 32 [size =\"9444352\"]\n  32 [size=\"18409472\", alpha=\"0.12\", expect_size=\"9204736\"] \n  32 -> 33 [size =\"9204736\"]\n  33 [size=\"96956416\", alpha=\"0.01\", expect_size=\"48478208\"] \n  33 -> 34 [size =\"48478208\"]\n  34 [size=\"31844352\", alpha=\"0.18\", expect_size=\"15922176\"] \n  34 -> 35 [size =\"15922176\"]\n  35 [size=\"22384640\", alpha=\"0.14\", expect_size=\"11192320\"] \n  35 -> 36 [size =\"11192320\"]\n  36 [size=\"49627136\", alpha=\"0.03\", expect_size=\"24813568\"] \n  36 -> 37 [size =\"24813568\"]\n  37 [size=\"94216192\", alpha=\"0.17\", expect_size=\"47108096\"] \n  37 -> 38 [size =\"47108096\"]\n  38 [size=\"46196736\", alpha=\"0.04\", expect_size=\"23098368\"] \n  38 -> 39 [size =\"23098368\"]\n  39 [size=\"41617408\", alpha=\"0.05\", expect_size=\"20808704\"] \n  39 -> 40 [size =\"20808704\"]\n  40 [size=\"91371520\", alpha=\"0.06\", expect_size=\"45685760\"] \n  40 -> 41 [size =\"45685760\"]\n  41 [size=\"39636992\", alpha=\"0.16\", expect_size=\"19818496\"] \n  41 -> 42 [size =\"19818496\"]\n  42 [size=\"46376960\", alpha=\"0.19\", expect_size=\"23188480\"] \n  42 -> 43 [size =\"23188480\"]\n  43 [size=\"104574976\", alpha=\"0.05\", expect_size=\"52287488\"] \n  43 -> 44 [size =\"52287488\"]\n  44 [size=\"15314944\", alpha=\"0.10\", expect_size=\"7657472\"] \n  44 -> 45 [size =\"7657472\"]\n  45 [size=\"99504128\", alpha=\"0.09\", expect_size=\"49752064\"] \n  45 -> 46 [size =\"49752064\"]\n  46 [size=\"70742016\", alpha=\"0.14\", expect_size=\"35371008\"] \n  46 -> 47 [size =\"35371008\"]\n  47 [size=\"86538240\", alpha=\"0.01\", expect_size=\"43269120\"] \n  47 -> 48 [size =\"43269120\"]\n  48 [size=\"70418432\", alpha=\"0.03\", expect_size=\"35209216\"] \n  48 -> 49 [size =\"35209216\"]\n  49 [size=\"89268224\", alpha=\"0.14\", expect_size=\"44634112\"] \n  49 -> 50 [size =\"44634112\"]\n  50 [size=\"16455680\", alpha=\"0.05\", expect_size=\"8227840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.208.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51679232\", alpha=\"0.07\", expect_size=\"25839616\"] \n  1 -> 4 [size =\"25839616\"]\n  1 -> 6 [size =\"25839616\"]\n  2 [size=\"18087936\", alpha=\"0.04\", expect_size=\"9043968\"] \n  2 -> 4 [size =\"9043968\"]\n  2 -> 5 [size =\"9043968\"]\n  2 -> 6 [size =\"9043968\"]\n  3 [size=\"26509312\", alpha=\"0.03\", expect_size=\"13254656\"] \n  3 -> 4 [size =\"13254656\"]\n  3 -> 6 [size =\"13254656\"]\n  4 [size=\"50919424\", alpha=\"0.01\", expect_size=\"25459712\"] \n  4 -> 7 [size =\"25459712\"]\n  4 -> 8 [size =\"25459712\"]\n  4 -> 9 [size =\"25459712\"]\n  5 [size=\"19271680\", alpha=\"0.10\", expect_size=\"9635840\"] \n  5 -> 7 [size =\"9635840\"]\n  5 -> 8 [size =\"9635840\"]\n  6 [size=\"10801152\", alpha=\"0.15\", expect_size=\"5400576\"] \n  6 -> 7 [size =\"5400576\"]\n  6 -> 8 [size =\"5400576\"]\n  7 [size=\"14776320\", alpha=\"0.10\", expect_size=\"7388160\"] \n  7 -> 10 [size =\"7388160\"]\n  8 [size=\"23840768\", alpha=\"0.07\", expect_size=\"11920384\"] \n  8 -> 10 [size =\"11920384\"]\n  9 [size=\"32821248\", alpha=\"0.07\", expect_size=\"16410624\"] \n  9 -> 10 [size =\"16410624\"]\n  9 -> 11 [size =\"16410624\"]\n  10 [size=\"101521408\", alpha=\"0.16\", expect_size=\"50760704\"] \n  10 -> 12 [size =\"50760704\"]\n  10 -> 13 [size =\"50760704\"]\n  10 -> 14 [size =\"50760704\"]\n  11 [size=\"20803584\", alpha=\"0.16\", expect_size=\"10401792\"] \n  11 -> 12 [size =\"10401792\"]\n  11 -> 13 [size =\"10401792\"]\n  11 -> 14 [size =\"10401792\"]\n  12 [size=\"51718144\", alpha=\"0.10\", expect_size=\"25859072\"] \n  12 -> 15 [size =\"25859072\"]\n  12 -> 16 [size =\"25859072\"]\n  13 [size=\"69347328\", alpha=\"0.08\", expect_size=\"34673664\"] \n  13 -> 15 [size =\"34673664\"]\n  13 -> 16 [size =\"34673664\"]\n  14 [size=\"82417664\", alpha=\"0.13\", expect_size=\"41208832\"] \n  14 -> 15 [size =\"41208832\"]\n  14 -> 16 [size =\"41208832\"]\n  15 [size=\"88780800\", alpha=\"0.12\", expect_size=\"44390400\"] \n  15 -> 17 [size =\"44390400\"]\n  16 [size=\"42725376\", alpha=\"0.14\", expect_size=\"21362688\"] \n  16 -> 17 [size =\"21362688\"]\n  16 -> 18 [size =\"21362688\"]\n  17 [size=\"21329920\", alpha=\"0.10\", expect_size=\"10664960\"] \n  17 -> 19 [size =\"10664960\"]\n  17 -> 20 [size =\"10664960\"]\n  18 [size=\"68839424\", alpha=\"0.12\", expect_size=\"34419712\"] \n  18 -> 19 [size =\"34419712\"]\n  18 -> 20 [size =\"34419712\"]\n  19 [size=\"103356416\", alpha=\"0.14\", expect_size=\"51678208\"] \n  19 -> 21 [size =\"51678208\"]\n  19 -> 22 [size =\"51678208\"]\n  19 -> 23 [size =\"51678208\"]\n  20 [size=\"40685568\", alpha=\"0.17\", expect_size=\"20342784\"] \n  20 -> 21 [size =\"20342784\"]\n  20 -> 22 [size =\"20342784\"]\n  20 -> 23 [size =\"20342784\"]\n  21 [size=\"24115200\", alpha=\"0.10\", expect_size=\"12057600\"] \n  21 -> 24 [size =\"12057600\"]\n  21 -> 26 [size =\"12057600\"]\n  22 [size=\"100059136\", alpha=\"0.04\", expect_size=\"50029568\"] \n  22 -> 24 [size =\"50029568\"]\n  22 -> 25 [size =\"50029568\"]\n  23 [size=\"51396608\", alpha=\"0.01\", expect_size=\"25698304\"] \n  23 -> 25 [size =\"25698304\"]\n  24 [size=\"89004032\", alpha=\"0.07\", expect_size=\"44502016\"] \n  24 -> 27 [size =\"44502016\"]\n  24 -> 28 [size =\"44502016\"]\n  25 [size=\"57321472\", alpha=\"0.15\", expect_size=\"28660736\"] \n  25 -> 28 [size =\"28660736\"]\n  26 [size=\"20850688\", alpha=\"0.03\", expect_size=\"10425344\"] \n  26 -> 27 [size =\"10425344\"]\n  26 -> 28 [size =\"10425344\"]\n  27 [size=\"84656128\", alpha=\"0.12\", expect_size=\"42328064\"] \n  28 [size=\"39774208\", alpha=\"0.04\", expect_size=\"19887104\"] \n  28 -> 29 [size =\"19887104\"]\n  28 -> 30 [size =\"19887104\"]\n  29 [size=\"98310144\", alpha=\"0.00\", expect_size=\"49155072\"] \n  29 -> 31 [size =\"49155072\"]\n  29 -> 32 [size =\"49155072\"]\n  29 -> 33 [size =\"49155072\"]\n  30 [size=\"68356096\", alpha=\"0.16\", expect_size=\"34178048\"] \n  30 -> 31 [size =\"34178048\"]\n  30 -> 32 [size =\"34178048\"]\n  30 -> 33 [size =\"34178048\"]\n  31 [size=\"55980032\", alpha=\"0.14\", expect_size=\"27990016\"] \n  31 -> 34 [size =\"27990016\"]\n  31 -> 35 [size =\"27990016\"]\n  32 [size=\"102377472\", alpha=\"0.01\", expect_size=\"51188736\"] \n  32 -> 34 [size =\"51188736\"]\n  32 -> 35 [size =\"51188736\"]\n  33 [size=\"26404864\", alpha=\"0.20\", expect_size=\"13202432\"] \n  33 -> 34 [size =\"13202432\"]\n  34 [size=\"32833536\", alpha=\"0.14\", expect_size=\"16416768\"] \n  34 -> 36 [size =\"16416768\"]\n  34 -> 37 [size =\"16416768\"]\n  34 -> 38 [size =\"16416768\"]\n  35 [size=\"67725312\", alpha=\"0.05\", expect_size=\"33862656\"] \n  35 -> 36 [size =\"33862656\"]\n  35 -> 37 [size =\"33862656\"]\n  35 -> 38 [size =\"33862656\"]\n  36 [size=\"45496320\", alpha=\"0.03\", expect_size=\"22748160\"] \n  36 -> 39 [size =\"22748160\"]\n  36 -> 40 [size =\"22748160\"]\n  36 -> 41 [size =\"22748160\"]\n  37 [size=\"60835840\", alpha=\"0.03\", expect_size=\"30417920\"] \n  37 -> 40 [size =\"30417920\"]\n  37 -> 41 [size =\"30417920\"]\n  38 [size=\"23660544\", alpha=\"0.15\", expect_size=\"11830272\"] \n  38 -> 39 [size =\"11830272\"]\n  38 -> 40 [size =\"11830272\"]\n  38 -> 41 [size =\"11830272\"]\n  39 [size=\"41701376\", alpha=\"0.08\", expect_size=\"20850688\"] \n  39 -> 43 [size =\"20850688\"]\n  39 -> 44 [size =\"20850688\"]\n  40 [size=\"42921984\", alpha=\"0.06\", expect_size=\"21460992\"] \n  40 -> 43 [size =\"21460992\"]\n  40 -> 44 [size =\"21460992\"]\n  41 [size=\"23988224\", alpha=\"0.08\", expect_size=\"11994112\"] \n  41 -> 42 [size =\"11994112\"]\n  41 -> 43 [size =\"11994112\"]\n  41 -> 44 [size =\"11994112\"]\n  42 [size=\"89589760\", alpha=\"0.08\", expect_size=\"44794880\"] \n  42 -> 45 [size =\"44794880\"]\n  43 [size=\"92217344\", alpha=\"0.17\", expect_size=\"46108672\"] \n  43 -> 45 [size =\"46108672\"]\n  43 -> 46 [size =\"46108672\"]\n  44 [size=\"90734592\", alpha=\"0.03\", expect_size=\"45367296\"] \n  44 -> 45 [size =\"45367296\"]\n  45 [size=\"62699520\", alpha=\"0.18\", expect_size=\"31349760\"] \n  45 -> 47 [size =\"31349760\"]\n  45 -> 48 [size =\"31349760\"]\n  46 [size=\"86413312\", alpha=\"0.16\", expect_size=\"43206656\"] \n  46 -> 47 [size =\"43206656\"]\n  46 -> 48 [size =\"43206656\"]\n  47 [size=\"99739648\", alpha=\"0.10\", expect_size=\"49869824\"] \n  47 -> 49 [size =\"49869824\"]\n  47 -> 50 [size =\"49869824\"]\n  48 [size=\"19156992\", alpha=\"0.10\", expect_size=\"9578496\"] \n  48 -> 49 [size =\"9578496\"]\n  48 -> 50 [size =\"9578496\"]\n  49 [size=\"91760640\", alpha=\"0.08\", expect_size=\"45880320\"] \n  50 [size=\"32933888\", alpha=\"0.19\", expect_size=\"16466944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.209.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64194560\", alpha=\"0.08\", expect_size=\"19258368\"] \n  1 -> 2 [size =\"19258368\"]\n  2 [size=\"99560107\", alpha=\"0.00\", expect_size=\"29868032\"] \n  2 -> 3 [size =\"29868032\"]\n  3 [size=\"42137600\", alpha=\"0.06\", expect_size=\"12641280\"] \n  3 -> 4 [size =\"12641280\"]\n  4 [size=\"90972160\", alpha=\"0.16\", expect_size=\"27291648\"] \n  4 -> 5 [size =\"27291648\"]\n  5 [size=\"162208427\", alpha=\"0.11\", expect_size=\"48662528\"] \n  5 -> 6 [size =\"48662528\"]\n  6 [size=\"167529813\", alpha=\"0.08\", expect_size=\"50258944\"] \n  6 -> 7 [size =\"50258944\"]\n  7 [size=\"169492480\", alpha=\"0.02\", expect_size=\"50847744\"] \n  7 -> 8 [size =\"50847744\"]\n  8 [size=\"76130987\", alpha=\"0.07\", expect_size=\"22839296\"] \n  8 -> 9 [size =\"22839296\"]\n  9 [size=\"86323200\", alpha=\"0.12\", expect_size=\"25896960\"] \n  9 -> 10 [size =\"25896960\"]\n  10 [size=\"77905920\", alpha=\"0.10\", expect_size=\"23371776\"] \n  10 -> 11 [size =\"23371776\"]\n  11 [size=\"48404480\", alpha=\"0.09\", expect_size=\"14521344\"] \n  11 -> 12 [size =\"14521344\"]\n  12 [size=\"109858133\", alpha=\"0.04\", expect_size=\"32957440\"] \n  12 -> 13 [size =\"32957440\"]\n  13 [size=\"112602453\", alpha=\"0.11\", expect_size=\"33780736\"] \n  13 -> 14 [size =\"33780736\"]\n  14 [size=\"161143467\", alpha=\"0.09\", expect_size=\"48343040\"] \n  14 -> 15 [size =\"48343040\"]\n  15 [size=\"128157013\", alpha=\"0.18\", expect_size=\"38447104\"] \n  15 -> 16 [size =\"38447104\"]\n  16 [size=\"58671787\", alpha=\"0.13\", expect_size=\"17601536\"] \n  16 -> 17 [size =\"17601536\"]\n  17 [size=\"118183253\", alpha=\"0.07\", expect_size=\"35454976\"] \n  17 -> 18 [size =\"35454976\"]\n  18 [size=\"132669440\", alpha=\"0.01\", expect_size=\"39800832\"] \n  18 -> 19 [size =\"39800832\"]\n  19 [size=\"34160640\", alpha=\"0.11\", expect_size=\"10248192\"] \n  19 -> 20 [size =\"10248192\"]\n  20 [size=\"128689493\", alpha=\"0.18\", expect_size=\"38606848\"] \n  20 -> 21 [size =\"38606848\"]\n  21 [size=\"46325760\", alpha=\"0.11\", expect_size=\"13897728\"] \n  21 -> 22 [size =\"13897728\"]\n  22 [size=\"113612800\", alpha=\"0.14\", expect_size=\"34083840\"] \n  22 -> 23 [size =\"34083840\"]\n  23 [size=\"144476160\", alpha=\"0.20\", expect_size=\"43342848\"] \n  23 -> 24 [size =\"43342848\"]\n  24 [size=\"73246720\", alpha=\"0.15\", expect_size=\"21974016\"] \n  24 -> 25 [size =\"21974016\"]\n  25 [size=\"143418027\", alpha=\"0.09\", expect_size=\"43025408\"] \n  25 -> 26 [size =\"43025408\"]\n  26 [size=\"124921173\", alpha=\"0.02\", expect_size=\"37476352\"] \n  26 -> 27 [size =\"37476352\"]\n  27 [size=\"67078827\", alpha=\"0.15\", expect_size=\"20123648\"] \n  27 -> 28 [size =\"20123648\"]\n  28 [size=\"118244693\", alpha=\"0.14\", expect_size=\"35473408\"] \n  28 -> 29 [size =\"35473408\"]\n  29 [size=\"129771520\", alpha=\"0.03\", expect_size=\"38931456\"] \n  29 -> 30 [size =\"38931456\"]\n  30 [size=\"62248960\", alpha=\"0.19\", expect_size=\"18674688\"] \n  30 -> 31 [size =\"18674688\"]\n  31 [size=\"47063040\", alpha=\"0.19\", expect_size=\"14118912\"] \n  31 -> 32 [size =\"14118912\"]\n  32 [size=\"130942293\", alpha=\"0.11\", expect_size=\"39282688\"] \n  32 -> 33 [size =\"39282688\"]\n  33 [size=\"81394347\", alpha=\"0.15\", expect_size=\"24418304\"] \n  33 -> 34 [size =\"24418304\"]\n  34 [size=\"80370347\", alpha=\"0.18\", expect_size=\"24111104\"] \n  34 -> 35 [size =\"24111104\"]\n  35 [size=\"44083200\", alpha=\"0.14\", expect_size=\"13224960\"] \n  35 -> 36 [size =\"13224960\"]\n  36 [size=\"117261653\", alpha=\"0.15\", expect_size=\"35178496\"] \n  36 -> 37 [size =\"35178496\"]\n  37 [size=\"135393280\", alpha=\"0.10\", expect_size=\"40617984\"] \n  37 -> 38 [size =\"40617984\"]\n  38 [size=\"93207893\", alpha=\"0.19\", expect_size=\"27962368\"] \n  38 -> 39 [size =\"27962368\"]\n  39 [size=\"49360213\", alpha=\"0.10\", expect_size=\"14808064\"] \n  39 -> 40 [size =\"14808064\"]\n  40 [size=\"72704000\", alpha=\"0.15\", expect_size=\"21811200\"] \n  40 -> 41 [size =\"21811200\"]\n  41 [size=\"66382507\", alpha=\"0.04\", expect_size=\"19914752\"] \n  41 -> 42 [size =\"19914752\"]\n  42 [size=\"61327360\", alpha=\"0.06\", expect_size=\"18398208\"] \n  42 -> 43 [size =\"18398208\"]\n  43 [size=\"149920427\", alpha=\"0.03\", expect_size=\"44976128\"] \n  43 -> 44 [size =\"44976128\"]\n  44 [size=\"112721920\", alpha=\"0.07\", expect_size=\"33816576\"] \n  44 -> 45 [size =\"33816576\"]\n  45 [size=\"93399040\", alpha=\"0.08\", expect_size=\"28019712\"] \n  45 -> 46 [size =\"28019712\"]\n  46 [size=\"45342720\", alpha=\"0.02\", expect_size=\"13602816\"] \n  46 -> 47 [size =\"13602816\"]\n  47 [size=\"167038293\", alpha=\"0.02\", expect_size=\"50111488\"] \n  47 -> 48 [size =\"50111488\"]\n  48 [size=\"87336960\", alpha=\"0.16\", expect_size=\"26201088\"] \n  48 -> 49 [size =\"26201088\"]\n  49 [size=\"78721707\", alpha=\"0.03\", expect_size=\"23616512\"] \n  49 -> 50 [size =\"23616512\"]\n  50 [size=\"157873493\", alpha=\"0.16\", expect_size=\"47362048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34997760\", alpha=\"0.05\", expect_size=\"13999104\"] \n  1 -> 2 [size =\"13999104\"]\n  2 [size=\"109235200\", alpha=\"0.11\", expect_size=\"43694080\"] \n  2 -> 3 [size =\"43694080\"]\n  3 [size=\"104806400\", alpha=\"0.10\", expect_size=\"41922560\"] \n  3 -> 4 [size =\"41922560\"]\n  4 [size=\"117130240\", alpha=\"0.06\", expect_size=\"46852096\"] \n  4 -> 5 [size =\"46852096\"]\n  5 [size=\"65576960\", alpha=\"0.07\", expect_size=\"26230784\"] \n  5 -> 6 [size =\"26230784\"]\n  6 [size=\"65950720\", alpha=\"0.12\", expect_size=\"26380288\"] \n  6 -> 7 [size =\"26380288\"]\n  7 [size=\"100661760\", alpha=\"0.12\", expect_size=\"40264704\"] \n  7 -> 8 [size =\"40264704\"]\n  8 [size=\"43118080\", alpha=\"0.03\", expect_size=\"17247232\"] \n  8 -> 9 [size =\"17247232\"]\n  9 [size=\"122183680\", alpha=\"0.07\", expect_size=\"48873472\"] \n  9 -> 10 [size =\"48873472\"]\n  10 [size=\"108561920\", alpha=\"0.15\", expect_size=\"43424768\"] \n  10 -> 11 [size =\"43424768\"]\n  11 [size=\"85240320\", alpha=\"0.15\", expect_size=\"34096128\"] \n  11 -> 12 [size =\"34096128\"]\n  12 [size=\"112376320\", alpha=\"0.19\", expect_size=\"44950528\"] \n  12 -> 13 [size =\"44950528\"]\n  13 [size=\"59304960\", alpha=\"0.11\", expect_size=\"23721984\"] \n  13 -> 14 [size =\"23721984\"]\n  14 [size=\"115453440\", alpha=\"0.18\", expect_size=\"46181376\"] \n  14 -> 15 [size =\"46181376\"]\n  15 [size=\"30704640\", alpha=\"0.10\", expect_size=\"12281856\"] \n  15 -> 16 [size =\"12281856\"]\n  16 [size=\"73848320\", alpha=\"0.15\", expect_size=\"29539328\"] \n  16 -> 17 [size =\"29539328\"]\n  17 [size=\"25111040\", alpha=\"0.03\", expect_size=\"10044416\"] \n  17 -> 18 [size =\"10044416\"]\n  18 [size=\"97139200\", alpha=\"0.04\", expect_size=\"38855680\"] \n  18 -> 19 [size =\"38855680\"]\n  19 [size=\"117678080\", alpha=\"0.08\", expect_size=\"47071232\"] \n  19 -> 20 [size =\"47071232\"]\n  20 [size=\"42536960\", alpha=\"0.17\", expect_size=\"17014784\"] \n  20 -> 21 [size =\"17014784\"]\n  21 [size=\"14727680\", alpha=\"0.10\", expect_size=\"5891072\"] \n  21 -> 22 [size =\"5891072\"]\n  22 [size=\"100431360\", alpha=\"0.19\", expect_size=\"40172544\"] \n  22 -> 23 [size =\"40172544\"]\n  23 [size=\"95526400\", alpha=\"0.04\", expect_size=\"38210560\"] \n  23 -> 24 [size =\"38210560\"]\n  24 [size=\"40903680\", alpha=\"0.07\", expect_size=\"16361472\"] \n  24 -> 25 [size =\"16361472\"]\n  25 [size=\"26411520\", alpha=\"0.18\", expect_size=\"10564608\"] \n  25 -> 26 [size =\"10564608\"]\n  26 [size=\"85199360\", alpha=\"0.18\", expect_size=\"34079744\"] \n  26 -> 27 [size =\"34079744\"]\n  27 [size=\"55098880\", alpha=\"0.13\", expect_size=\"22039552\"] \n  27 -> 28 [size =\"22039552\"]\n  28 [size=\"71129600\", alpha=\"0.14\", expect_size=\"28451840\"] \n  28 -> 29 [size =\"28451840\"]\n  29 [size=\"92802560\", alpha=\"0.12\", expect_size=\"37121024\"] \n  29 -> 30 [size =\"37121024\"]\n  30 [size=\"22604800\", alpha=\"0.07\", expect_size=\"9041920\"] \n  30 -> 31 [size =\"9041920\"]\n  31 [size=\"124756480\", alpha=\"0.14\", expect_size=\"49902592\"] \n  31 -> 32 [size =\"49902592\"]\n  32 [size=\"67256320\", alpha=\"0.18\", expect_size=\"26902528\"] \n  32 -> 33 [size =\"26902528\"]\n  33 [size=\"64194560\", alpha=\"0.10\", expect_size=\"25677824\"] \n  33 -> 34 [size =\"25677824\"]\n  34 [size=\"89310720\", alpha=\"0.19\", expect_size=\"35724288\"] \n  34 -> 35 [size =\"35724288\"]\n  35 [size=\"128665600\", alpha=\"0.11\", expect_size=\"51466240\"] \n  35 -> 36 [size =\"51466240\"]\n  36 [size=\"116764160\", alpha=\"0.14\", expect_size=\"46705664\"] \n  36 -> 37 [size =\"46705664\"]\n  37 [size=\"106449920\", alpha=\"0.18\", expect_size=\"42579968\"] \n  37 -> 38 [size =\"42579968\"]\n  38 [size=\"67317760\", alpha=\"0.17\", expect_size=\"26927104\"] \n  38 -> 39 [size =\"26927104\"]\n  39 [size=\"29373440\", alpha=\"0.13\", expect_size=\"11749376\"] \n  39 -> 40 [size =\"11749376\"]\n  40 [size=\"101698560\", alpha=\"0.15\", expect_size=\"40679424\"] \n  40 -> 41 [size =\"40679424\"]\n  41 [size=\"25848320\", alpha=\"0.16\", expect_size=\"10339328\"] \n  41 -> 42 [size =\"10339328\"]\n  42 [size=\"109893120\", alpha=\"0.13\", expect_size=\"43957248\"] \n  42 -> 43 [size =\"43957248\"]\n  43 [size=\"99205120\", alpha=\"0.03\", expect_size=\"39682048\"] \n  43 -> 44 [size =\"39682048\"]\n  44 [size=\"39987200\", alpha=\"0.18\", expect_size=\"15994880\"] \n  44 -> 45 [size =\"15994880\"]\n  45 [size=\"34585600\", alpha=\"0.16\", expect_size=\"13834240\"] \n  45 -> 46 [size =\"13834240\"]\n  46 [size=\"100595200\", alpha=\"0.05\", expect_size=\"40238080\"] \n  46 -> 47 [size =\"40238080\"]\n  47 [size=\"62832640\", alpha=\"0.02\", expect_size=\"25133056\"] \n  47 -> 48 [size =\"25133056\"]\n  48 [size=\"51269120\", alpha=\"0.09\", expect_size=\"20507648\"] \n  48 -> 49 [size =\"20507648\"]\n  49 [size=\"31969280\", alpha=\"0.09\", expect_size=\"12787712\"] \n  49 -> 50 [size =\"12787712\"]\n  50 [size=\"109509120\", alpha=\"0.11\", expect_size=\"43803648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.210.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158696107\", alpha=\"0.03\", expect_size=\"47608832\"] \n  1 -> 29 [size =\"47608832\"]\n  1 -> 31 [size =\"47608832\"]\n  1 -> 37 [size =\"47608832\"]\n  1 -> 41 [size =\"47608832\"]\n  1 -> 42 [size =\"47608832\"]\n  1 -> 43 [size =\"47608832\"]\n  1 -> 45 [size =\"47608832\"]\n  1 -> 47 [size =\"47608832\"]\n  1 -> 49 [size =\"47608832\"]\n  1 -> 50 [size =\"47608832\"]\n  2 [size=\"17664000\", alpha=\"0.15\", expect_size=\"5299200\"] \n  2 -> 29 [size =\"5299200\"]\n  2 -> 37 [size =\"5299200\"]\n  2 -> 38 [size =\"5299200\"]\n  2 -> 41 [size =\"5299200\"]\n  2 -> 49 [size =\"5299200\"]\n  2 -> 50 [size =\"5299200\"]\n  3 [size=\"98191360\", alpha=\"0.13\", expect_size=\"29457408\"] \n  3 -> 29 [size =\"29457408\"]\n  3 -> 30 [size =\"29457408\"]\n  3 -> 31 [size =\"29457408\"]\n  3 -> 35 [size =\"29457408\"]\n  3 -> 37 [size =\"29457408\"]\n  3 -> 38 [size =\"29457408\"]\n  3 -> 42 [size =\"29457408\"]\n  3 -> 46 [size =\"29457408\"]\n  3 -> 50 [size =\"29457408\"]\n  4 [size=\"159310507\", alpha=\"0.16\", expect_size=\"47793152\"] \n  4 -> 29 [size =\"47793152\"]\n  4 -> 31 [size =\"47793152\"]\n  4 -> 35 [size =\"47793152\"]\n  4 -> 37 [size =\"47793152\"]\n  4 -> 38 [size =\"47793152\"]\n  4 -> 41 [size =\"47793152\"]\n  4 -> 42 [size =\"47793152\"]\n  4 -> 43 [size =\"47793152\"]\n  4 -> 44 [size =\"47793152\"]\n  4 -> 45 [size =\"47793152\"]\n  5 [size=\"165461333\", alpha=\"0.19\", expect_size=\"49638400\"] \n  5 -> 29 [size =\"49638400\"]\n  5 -> 30 [size =\"49638400\"]\n  5 -> 35 [size =\"49638400\"]\n  5 -> 36 [size =\"49638400\"]\n  5 -> 40 [size =\"49638400\"]\n  5 -> 42 [size =\"49638400\"]\n  5 -> 43 [size =\"49638400\"]\n  5 -> 46 [size =\"49638400\"]\n  5 -> 48 [size =\"49638400\"]\n  5 -> 50 [size =\"49638400\"]\n  6 [size=\"126102187\", alpha=\"0.06\", expect_size=\"37830656\"] \n  6 -> 29 [size =\"37830656\"]\n  6 -> 31 [size =\"37830656\"]\n  6 -> 34 [size =\"37830656\"]\n  6 -> 43 [size =\"37830656\"]\n  6 -> 44 [size =\"37830656\"]\n  6 -> 46 [size =\"37830656\"]\n  6 -> 50 [size =\"37830656\"]\n  7 [size=\"54838613\", alpha=\"0.03\", expect_size=\"16451584\"] \n  7 -> 31 [size =\"16451584\"]\n  7 -> 33 [size =\"16451584\"]\n  7 -> 35 [size =\"16451584\"]\n  7 -> 41 [size =\"16451584\"]\n  7 -> 43 [size =\"16451584\"]\n  7 -> 44 [size =\"16451584\"]\n  7 -> 45 [size =\"16451584\"]\n  7 -> 46 [size =\"16451584\"]\n  7 -> 48 [size =\"16451584\"]\n  7 -> 50 [size =\"16451584\"]\n  8 [size=\"108547413\", alpha=\"0.12\", expect_size=\"32564224\"] \n  8 -> 29 [size =\"32564224\"]\n  8 -> 33 [size =\"32564224\"]\n  8 -> 37 [size =\"32564224\"]\n  8 -> 38 [size =\"32564224\"]\n  8 -> 43 [size =\"32564224\"]\n  8 -> 47 [size =\"32564224\"]\n  8 -> 48 [size =\"32564224\"]\n  8 -> 49 [size =\"32564224\"]\n  8 -> 50 [size =\"32564224\"]\n  8 -> 50 [size =\"32564224\"]\n  9 [size=\"100164267\", alpha=\"0.11\", expect_size=\"30049280\"] \n  9 -> 35 [size =\"30049280\"]\n  9 -> 37 [size =\"30049280\"]\n  9 -> 43 [size =\"30049280\"]\n  9 -> 49 [size =\"30049280\"]\n  9 -> 50 [size =\"30049280\"]\n  10 [size=\"49578667\", alpha=\"0.18\", expect_size=\"14873600\"] \n  10 -> 29 [size =\"14873600\"]\n  10 -> 35 [size =\"14873600\"]\n  10 -> 37 [size =\"14873600\"]\n  10 -> 43 [size =\"14873600\"]\n  10 -> 49 [size =\"14873600\"]\n  10 -> 50 [size =\"14873600\"]\n  11 [size=\"100072107\", alpha=\"0.13\", expect_size=\"30021632\"] \n  11 -> 33 [size =\"30021632\"]\n  11 -> 35 [size =\"30021632\"]\n  11 -> 41 [size =\"30021632\"]\n  11 -> 42 [size =\"30021632\"]\n  11 -> 43 [size =\"30021632\"]\n  11 -> 45 [size =\"30021632\"]\n  11 -> 46 [size =\"30021632\"]\n  11 -> 48 [size =\"30021632\"]\n  12 [size=\"123869867\", alpha=\"0.17\", expect_size=\"37160960\"] \n  12 -> 33 [size =\"37160960\"]\n  12 -> 36 [size =\"37160960\"]\n  12 -> 37 [size =\"37160960\"]\n  12 -> 41 [size =\"37160960\"]\n  12 -> 42 [size =\"37160960\"]\n  12 -> 43 [size =\"37160960\"]\n  12 -> 44 [size =\"37160960\"]\n  12 -> 46 [size =\"37160960\"]\n  12 -> 48 [size =\"37160960\"]\n  12 -> 49 [size =\"37160960\"]\n  12 -> 50 [size =\"37160960\"]\n  13 [size=\"81107627\", alpha=\"0.08\", expect_size=\"24332288\"] \n  13 -> 29 [size =\"24332288\"]\n  13 -> 31 [size =\"24332288\"]\n  13 -> 33 [size =\"24332288\"]\n  13 -> 38 [size =\"24332288\"]\n  13 -> 42 [size =\"24332288\"]\n  13 -> 43 [size =\"24332288\"]\n  13 -> 45 [size =\"24332288\"]\n  13 -> 46 [size =\"24332288\"]\n  14 [size=\"24644267\", alpha=\"0.18\", expect_size=\"7393280\"] \n  14 -> 29 [size =\"7393280\"]\n  14 -> 33 [size =\"7393280\"]\n  14 -> 34 [size =\"7393280\"]\n  14 -> 36 [size =\"7393280\"]\n  14 -> 37 [size =\"7393280\"]\n  14 -> 38 [size =\"7393280\"]\n  14 -> 42 [size =\"7393280\"]\n  14 -> 43 [size =\"7393280\"]\n  14 -> 44 [size =\"7393280\"]\n  14 -> 45 [size =\"7393280\"]\n  14 -> 47 [size =\"7393280\"]\n  14 -> 48 [size =\"7393280\"]\n  15 [size=\"152166400\", alpha=\"0.04\", expect_size=\"45649920\"] \n  15 -> 33 [size =\"45649920\"]\n  15 -> 34 [size =\"45649920\"]\n  15 -> 35 [size =\"45649920\"]\n  15 -> 36 [size =\"45649920\"]\n  15 -> 37 [size =\"45649920\"]\n  15 -> 38 [size =\"45649920\"]\n  15 -> 39 [size =\"45649920\"]\n  15 -> 43 [size =\"45649920\"]\n  15 -> 44 [size =\"45649920\"]\n  15 -> 45 [size =\"45649920\"]\n  16 [size=\"146595840\", alpha=\"0.10\", expect_size=\"43978752\"] \n  16 -> 30 [size =\"43978752\"]\n  16 -> 37 [size =\"43978752\"]\n  16 -> 38 [size =\"43978752\"]\n  16 -> 40 [size =\"43978752\"]\n  16 -> 42 [size =\"43978752\"]\n  16 -> 46 [size =\"43978752\"]\n  16 -> 49 [size =\"43978752\"]\n  16 -> 50 [size =\"43978752\"]\n  17 [size=\"37167787\", alpha=\"0.14\", expect_size=\"11150336\"] \n  17 -> 29 [size =\"11150336\"]\n  17 -> 31 [size =\"11150336\"]\n  17 -> 34 [size =\"11150336\"]\n  17 -> 37 [size =\"11150336\"]\n  17 -> 38 [size =\"11150336\"]\n  17 -> 43 [size =\"11150336\"]\n  17 -> 46 [size =\"11150336\"]\n  17 -> 49 [size =\"11150336\"]\n  18 [size=\"61306880\", alpha=\"0.06\", expect_size=\"18392064\"] \n  18 -> 29 [size =\"18392064\"]\n  18 -> 35 [size =\"18392064\"]\n  18 -> 37 [size =\"18392064\"]\n  18 -> 41 [size =\"18392064\"]\n  18 -> 44 [size =\"18392064\"]\n  18 -> 45 [size =\"18392064\"]\n  18 -> 46 [size =\"18392064\"]\n  18 -> 48 [size =\"18392064\"]\n  19 [size=\"159057920\", alpha=\"0.10\", expect_size=\"47717376\"] \n  19 -> 29 [size =\"47717376\"]\n  19 -> 30 [size =\"47717376\"]\n  19 -> 31 [size =\"47717376\"]\n  19 -> 33 [size =\"47717376\"]\n  19 -> 34 [size =\"47717376\"]\n  19 -> 37 [size =\"47717376\"]\n  19 -> 38 [size =\"47717376\"]\n  19 -> 41 [size =\"47717376\"]\n  19 -> 42 [size =\"47717376\"]\n  19 -> 43 [size =\"47717376\"]\n  19 -> 44 [size =\"47717376\"]\n  19 -> 45 [size =\"47717376\"]\n  19 -> 48 [size =\"47717376\"]\n  19 -> 49 [size =\"47717376\"]\n  20 [size=\"85039787\", alpha=\"0.15\", expect_size=\"25511936\"] \n  20 -> 29 [size =\"25511936\"]\n  20 -> 30 [size =\"25511936\"]\n  20 -> 33 [size =\"25511936\"]\n  20 -> 34 [size =\"25511936\"]\n  20 -> 35 [size =\"25511936\"]\n  20 -> 36 [size =\"25511936\"]\n  20 -> 45 [size =\"25511936\"]\n  21 [size=\"68621653\", alpha=\"0.18\", expect_size=\"20586496\"] \n  21 -> 31 [size =\"20586496\"]\n  21 -> 34 [size =\"20586496\"]\n  21 -> 35 [size =\"20586496\"]\n  21 -> 43 [size =\"20586496\"]\n  21 -> 44 [size =\"20586496\"]\n  21 -> 47 [size =\"20586496\"]\n  21 -> 49 [size =\"20586496\"]\n  22 [size=\"166942720\", alpha=\"0.01\", expect_size=\"50082816\"] \n  22 -> 31 [size =\"50082816\"]\n  22 -> 35 [size =\"50082816\"]\n  22 -> 37 [size =\"50082816\"]\n  22 -> 38 [size =\"50082816\"]\n  22 -> 40 [size =\"50082816\"]\n  22 -> 43 [size =\"50082816\"]\n  22 -> 44 [size =\"50082816\"]\n  22 -> 45 [size =\"50082816\"]\n  22 -> 49 [size =\"50082816\"]\n  22 -> 50 [size =\"50082816\"]\n  23 [size=\"141114027\", alpha=\"0.15\", expect_size=\"42334208\"] \n  23 -> 30 [size =\"42334208\"]\n  23 -> 31 [size =\"42334208\"]\n  23 -> 33 [size =\"42334208\"]\n  23 -> 38 [size =\"42334208\"]\n  23 -> 45 [size =\"42334208\"]\n  23 -> 49 [size =\"42334208\"]\n  24 [size=\"48452267\", alpha=\"0.06\", expect_size=\"14535680\"] \n  24 -> 31 [size =\"14535680\"]\n  24 -> 31 [size =\"14535680\"]\n  24 -> 33 [size =\"14535680\"]\n  24 -> 34 [size =\"14535680\"]\n  24 -> 35 [size =\"14535680\"]\n  24 -> 41 [size =\"14535680\"]\n  24 -> 42 [size =\"14535680\"]\n  24 -> 45 [size =\"14535680\"]\n  24 -> 46 [size =\"14535680\"]\n  24 -> 50 [size =\"14535680\"]\n  25 [size=\"30494720\", alpha=\"0.16\", expect_size=\"9148416\"] \n  25 -> 32 [size =\"9148416\"]\n  25 -> 33 [size =\"9148416\"]\n  25 -> 36 [size =\"9148416\"]\n  25 -> 37 [size =\"9148416\"]\n  25 -> 42 [size =\"9148416\"]\n  25 -> 43 [size =\"9148416\"]\n  25 -> 44 [size =\"9148416\"]\n  25 -> 45 [size =\"9148416\"]\n  25 -> 46 [size =\"9148416\"]\n  25 -> 50 [size =\"9148416\"]\n  26 [size=\"62474240\", alpha=\"0.20\", expect_size=\"18742272\"] \n  26 -> 33 [size =\"18742272\"]\n  26 -> 37 [size =\"18742272\"]\n  26 -> 38 [size =\"18742272\"]\n  26 -> 43 [size =\"18742272\"]\n  26 -> 44 [size =\"18742272\"]\n  26 -> 45 [size =\"18742272\"]\n  26 -> 46 [size =\"18742272\"]\n  26 -> 49 [size =\"18742272\"]\n  27 [size=\"137219413\", alpha=\"0.09\", expect_size=\"41165824\"] \n  27 -> 29 [size =\"41165824\"]\n  27 -> 30 [size =\"41165824\"]\n  27 -> 34 [size =\"41165824\"]\n  27 -> 35 [size =\"41165824\"]\n  27 -> 37 [size =\"41165824\"]\n  27 -> 38 [size =\"41165824\"]\n  27 -> 43 [size =\"41165824\"]\n  27 -> 46 [size =\"41165824\"]\n  27 -> 47 [size =\"41165824\"]\n  27 -> 49 [size =\"41165824\"]\n  27 -> 50 [size =\"41165824\"]\n  28 [size=\"87685120\", alpha=\"0.09\", expect_size=\"26305536\"] \n  28 -> 29 [size =\"26305536\"]\n  28 -> 37 [size =\"26305536\"]\n  28 -> 38 [size =\"26305536\"]\n  28 -> 40 [size =\"26305536\"]\n  28 -> 42 [size =\"26305536\"]\n  28 -> 44 [size =\"26305536\"]\n  28 -> 45 [size =\"26305536\"]\n  28 -> 49 [size =\"26305536\"]\n  29 [size=\"134574080\", alpha=\"0.20\", expect_size=\"40372224\"] \n  30 [size=\"57832107\", alpha=\"0.14\", expect_size=\"17349632\"] \n  31 [size=\"20572160\", alpha=\"0.20\", expect_size=\"6171648\"] \n  32 [size=\"164010667\", alpha=\"0.19\", expect_size=\"49203200\"] \n  33 [size=\"173769387\", alpha=\"0.06\", expect_size=\"52130816\"] \n  34 [size=\"130556587\", alpha=\"0.14\", expect_size=\"39166976\"] \n  35 [size=\"18930347\", alpha=\"0.19\", expect_size=\"5679104\"] \n  36 [size=\"144155307\", alpha=\"0.00\", expect_size=\"43246592\"] \n  37 [size=\"143001600\", alpha=\"0.04\", expect_size=\"42900480\"] \n  38 [size=\"52834987\", alpha=\"0.13\", expect_size=\"15850496\"] \n  39 [size=\"122013013\", alpha=\"0.01\", expect_size=\"36603904\"] \n  40 [size=\"118657707\", alpha=\"0.17\", expect_size=\"35597312\"] \n  41 [size=\"74864640\", alpha=\"0.20\", expect_size=\"22459392\"] \n  42 [size=\"73236480\", alpha=\"0.01\", expect_size=\"21970944\"] \n  43 [size=\"62877013\", alpha=\"0.19\", expect_size=\"18863104\"] \n  44 [size=\"107424427\", alpha=\"0.20\", expect_size=\"32227328\"] \n  45 [size=\"56756907\", alpha=\"0.03\", expect_size=\"17027072\"] \n  46 [size=\"45571413\", alpha=\"0.12\", expect_size=\"13671424\"] \n  47 [size=\"45701120\", alpha=\"0.15\", expect_size=\"13710336\"] \n  48 [size=\"76837547\", alpha=\"0.08\", expect_size=\"23051264\"] \n  49 [size=\"25528320\", alpha=\"0.16\", expect_size=\"7658496\"] \n  50 [size=\"33351680\", alpha=\"0.09\", expect_size=\"10005504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.211.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80488448\", alpha=\"0.15\", expect_size=\"40244224\"] \n  1 -> 5 [size =\"40244224\"]\n  1 -> 6 [size =\"40244224\"]\n  1 -> 8 [size =\"40244224\"]\n  2 [size=\"83566592\", alpha=\"0.08\", expect_size=\"41783296\"] \n  2 -> 7 [size =\"41783296\"]\n  2 -> 8 [size =\"41783296\"]\n  3 [size=\"79656960\", alpha=\"0.04\", expect_size=\"39828480\"] \n  3 -> 5 [size =\"39828480\"]\n  3 -> 6 [size =\"39828480\"]\n  3 -> 7 [size =\"39828480\"]\n  3 -> 8 [size =\"39828480\"]\n  4 [size=\"72208384\", alpha=\"0.08\", expect_size=\"36104192\"] \n  5 [size=\"87248896\", alpha=\"0.06\", expect_size=\"43624448\"] \n  5 -> 11 [size =\"43624448\"]\n  6 [size=\"16787456\", alpha=\"0.19\", expect_size=\"8393728\"] \n  6 -> 10 [size =\"8393728\"]\n  7 [size=\"67012608\", alpha=\"0.17\", expect_size=\"33506304\"] \n  7 -> 9 [size =\"33506304\"]\n  7 -> 10 [size =\"33506304\"]\n  8 [size=\"55459840\", alpha=\"0.20\", expect_size=\"27729920\"] \n  8 -> 9 [size =\"27729920\"]\n  9 [size=\"55717888\", alpha=\"0.00\", expect_size=\"27858944\"] \n  9 -> 15 [size =\"27858944\"]\n  9 -> 16 [size =\"27858944\"]\n  9 -> 20 [size =\"27858944\"]\n  10 [size=\"50300928\", alpha=\"0.07\", expect_size=\"25150464\"] \n  10 -> 12 [size =\"25150464\"]\n  10 -> 13 [size =\"25150464\"]\n  10 -> 17 [size =\"25150464\"]\n  10 -> 18 [size =\"25150464\"]\n  10 -> 19 [size =\"25150464\"]\n  10 -> 20 [size =\"25150464\"]\n  11 [size=\"14835712\", alpha=\"0.20\", expect_size=\"7417856\"] \n  11 -> 12 [size =\"7417856\"]\n  11 -> 13 [size =\"7417856\"]\n  11 -> 14 [size =\"7417856\"]\n  11 -> 15 [size =\"7417856\"]\n  11 -> 16 [size =\"7417856\"]\n  11 -> 18 [size =\"7417856\"]\n  12 [size=\"83345408\", alpha=\"0.18\", expect_size=\"41672704\"] \n  12 -> 21 [size =\"41672704\"]\n  12 -> 22 [size =\"41672704\"]\n  13 [size=\"29077504\", alpha=\"0.05\", expect_size=\"14538752\"] \n  13 -> 21 [size =\"14538752\"]\n  13 -> 22 [size =\"14538752\"]\n  13 -> 23 [size =\"14538752\"]\n  14 [size=\"49899520\", alpha=\"0.17\", expect_size=\"24949760\"] \n  14 -> 22 [size =\"24949760\"]\n  14 -> 23 [size =\"24949760\"]\n  15 [size=\"86183936\", alpha=\"0.08\", expect_size=\"43091968\"] \n  16 [size=\"22417408\", alpha=\"0.10\", expect_size=\"11208704\"] \n  16 -> 23 [size =\"11208704\"]\n  17 [size=\"17631232\", alpha=\"0.14\", expect_size=\"8815616\"] \n  18 [size=\"96616448\", alpha=\"0.00\", expect_size=\"48308224\"] \n  18 -> 22 [size =\"48308224\"]\n  19 [size=\"95234048\", alpha=\"0.03\", expect_size=\"47617024\"] \n  19 -> 22 [size =\"47617024\"]\n  19 -> 23 [size =\"47617024\"]\n  20 [size=\"95805440\", alpha=\"0.05\", expect_size=\"47902720\"] \n  20 -> 22 [size =\"47902720\"]\n  21 [size=\"32163840\", alpha=\"0.02\", expect_size=\"16081920\"] \n  21 -> 25 [size =\"16081920\"]\n  21 -> 26 [size =\"16081920\"]\n  21 -> 29 [size =\"16081920\"]\n  21 -> 30 [size =\"16081920\"]\n  21 -> 31 [size =\"16081920\"]\n  22 [size=\"30932992\", alpha=\"0.14\", expect_size=\"15466496\"] \n  22 -> 27 [size =\"15466496\"]\n  22 -> 28 [size =\"15466496\"]\n  22 -> 29 [size =\"15466496\"]\n  22 -> 31 [size =\"15466496\"]\n  22 -> 32 [size =\"15466496\"]\n  22 -> 33 [size =\"15466496\"]\n  23 [size=\"21739520\", alpha=\"0.01\", expect_size=\"10869760\"] \n  23 -> 24 [size =\"10869760\"]\n  23 -> 27 [size =\"10869760\"]\n  23 -> 30 [size =\"10869760\"]\n  23 -> 32 [size =\"10869760\"]\n  24 [size=\"43587584\", alpha=\"0.01\", expect_size=\"21793792\"] \n  24 -> 34 [size =\"21793792\"]\n  24 -> 37 [size =\"21793792\"]\n  24 -> 38 [size =\"21793792\"]\n  24 -> 39 [size =\"21793792\"]\n  24 -> 40 [size =\"21793792\"]\n  24 -> 41 [size =\"21793792\"]\n  24 -> 42 [size =\"21793792\"]\n  24 -> 43 [size =\"21793792\"]\n  25 [size=\"30404608\", alpha=\"0.17\", expect_size=\"15202304\"] \n  25 -> 35 [size =\"15202304\"]\n  25 -> 42 [size =\"15202304\"]\n  26 [size=\"70017024\", alpha=\"0.15\", expect_size=\"35008512\"] \n  26 -> 35 [size =\"35008512\"]\n  26 -> 36 [size =\"35008512\"]\n  26 -> 37 [size =\"35008512\"]\n  26 -> 39 [size =\"35008512\"]\n  26 -> 40 [size =\"35008512\"]\n  26 -> 41 [size =\"35008512\"]\n  26 -> 42 [size =\"35008512\"]\n  27 [size=\"22786048\", alpha=\"0.04\", expect_size=\"11393024\"] \n  27 -> 39 [size =\"11393024\"]\n  27 -> 40 [size =\"11393024\"]\n  28 [size=\"90042368\", alpha=\"0.03\", expect_size=\"45021184\"] \n  28 -> 37 [size =\"45021184\"]\n  28 -> 39 [size =\"45021184\"]\n  28 -> 40 [size =\"45021184\"]\n  28 -> 42 [size =\"45021184\"]\n  29 [size=\"90744832\", alpha=\"0.12\", expect_size=\"45372416\"] \n  29 -> 35 [size =\"45372416\"]\n  29 -> 39 [size =\"45372416\"]\n  29 -> 40 [size =\"45372416\"]\n  29 -> 41 [size =\"45372416\"]\n  30 [size=\"12435456\", alpha=\"0.09\", expect_size=\"6217728\"] \n  30 -> 34 [size =\"6217728\"]\n  30 -> 35 [size =\"6217728\"]\n  30 -> 37 [size =\"6217728\"]\n  30 -> 39 [size =\"6217728\"]\n  30 -> 41 [size =\"6217728\"]\n  31 [size=\"37302272\", alpha=\"0.07\", expect_size=\"18651136\"] \n  31 -> 34 [size =\"18651136\"]\n  31 -> 35 [size =\"18651136\"]\n  32 [size=\"46604288\", alpha=\"0.00\", expect_size=\"23302144\"] \n  32 -> 34 [size =\"23302144\"]\n  32 -> 37 [size =\"23302144\"]\n  32 -> 41 [size =\"23302144\"]\n  32 -> 43 [size =\"23302144\"]\n  33 [size=\"19054592\", alpha=\"0.18\", expect_size=\"9527296\"] \n  33 -> 35 [size =\"9527296\"]\n  33 -> 37 [size =\"9527296\"]\n  33 -> 41 [size =\"9527296\"]\n  33 -> 43 [size =\"9527296\"]\n  34 [size=\"23820288\", alpha=\"0.03\", expect_size=\"11910144\"] \n  35 [size=\"28258304\", alpha=\"0.05\", expect_size=\"14129152\"] \n  35 -> 45 [size =\"14129152\"]\n  36 [size=\"14757888\", alpha=\"0.10\", expect_size=\"7378944\"] \n  37 [size=\"83994624\", alpha=\"0.15\", expect_size=\"41997312\"] \n  37 -> 48 [size =\"41997312\"]\n  38 [size=\"103753728\", alpha=\"0.19\", expect_size=\"51876864\"] \n  38 -> 45 [size =\"51876864\"]\n  38 -> 48 [size =\"51876864\"]\n  39 [size=\"24635392\", alpha=\"0.01\", expect_size=\"12317696\"] \n  39 -> 45 [size =\"12317696\"]\n  39 -> 47 [size =\"12317696\"]\n  40 [size=\"80619520\", alpha=\"0.02\", expect_size=\"40309760\"] \n  40 -> 46 [size =\"40309760\"]\n  40 -> 48 [size =\"40309760\"]\n  41 [size=\"28401664\", alpha=\"0.06\", expect_size=\"14200832\"] \n  41 -> 44 [size =\"14200832\"]\n  41 -> 48 [size =\"14200832\"]\n  42 [size=\"61081600\", alpha=\"0.15\", expect_size=\"30540800\"] \n  43 [size=\"62773248\", alpha=\"0.07\", expect_size=\"31386624\"] \n  43 -> 46 [size =\"31386624\"]\n  44 [size=\"52070400\", alpha=\"0.05\", expect_size=\"26035200\"] \n  45 [size=\"68390912\", alpha=\"0.08\", expect_size=\"34195456\"] \n  45 -> 49 [size =\"34195456\"]\n  45 -> 50 [size =\"34195456\"]\n  46 [size=\"93057024\", alpha=\"0.03\", expect_size=\"46528512\"] \n  47 [size=\"43634688\", alpha=\"0.01\", expect_size=\"21817344\"] \n  47 -> 49 [size =\"21817344\"]\n  48 [size=\"21639168\", alpha=\"0.16\", expect_size=\"10819584\"] \n  49 [size=\"18833408\", alpha=\"0.07\", expect_size=\"9416704\"] \n  50 [size=\"25591808\", alpha=\"0.20\", expect_size=\"12795904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.212.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67051520\", alpha=\"0.00\", expect_size=\"26820608\"] \n  1 -> 3 [size =\"26820608\"]\n  2 [size=\"75599360\", alpha=\"0.20\", expect_size=\"30239744\"] \n  2 -> 3 [size =\"30239744\"]\n  2 -> 4 [size =\"30239744\"]\n  3 [size=\"58951680\", alpha=\"0.04\", expect_size=\"23580672\"] \n  3 -> 5 [size =\"23580672\"]\n  3 -> 6 [size =\"23580672\"]\n  4 [size=\"94016000\", alpha=\"0.06\", expect_size=\"37606400\"] \n  4 -> 5 [size =\"37606400\"]\n  4 -> 6 [size =\"37606400\"]\n  5 [size=\"94819840\", alpha=\"0.14\", expect_size=\"37927936\"] \n  5 -> 7 [size =\"37927936\"]\n  5 -> 8 [size =\"37927936\"]\n  6 [size=\"53634560\", alpha=\"0.18\", expect_size=\"21453824\"] \n  6 -> 7 [size =\"21453824\"]\n  7 [size=\"101882880\", alpha=\"0.09\", expect_size=\"40753152\"] \n  7 -> 9 [size =\"40753152\"]\n  8 [size=\"110650880\", alpha=\"0.17\", expect_size=\"44260352\"] \n  8 -> 10 [size =\"44260352\"]\n  9 [size=\"128204800\", alpha=\"0.02\", expect_size=\"51281920\"] \n  9 -> 11 [size =\"51281920\"]\n  9 -> 12 [size =\"51281920\"]\n  10 [size=\"14499840\", alpha=\"0.12\", expect_size=\"5799936\"] \n  10 -> 12 [size =\"5799936\"]\n  11 [size=\"122585600\", alpha=\"0.03\", expect_size=\"49034240\"] \n  11 -> 13 [size =\"49034240\"]\n  11 -> 15 [size =\"49034240\"]\n  12 [size=\"124794880\", alpha=\"0.00\", expect_size=\"49917952\"] \n  12 -> 13 [size =\"49917952\"]\n  12 -> 14 [size =\"49917952\"]\n  13 [size=\"122501120\", alpha=\"0.19\", expect_size=\"49000448\"] \n  13 -> 17 [size =\"49000448\"]\n  14 [size=\"27706880\", alpha=\"0.07\", expect_size=\"11082752\"] \n  14 -> 16 [size =\"11082752\"]\n  14 -> 17 [size =\"11082752\"]\n  15 [size=\"63198720\", alpha=\"0.03\", expect_size=\"25279488\"] \n  15 -> 17 [size =\"25279488\"]\n  16 [size=\"25525760\", alpha=\"0.08\", expect_size=\"10210304\"] \n  16 -> 19 [size =\"10210304\"]\n  17 [size=\"14942720\", alpha=\"0.05\", expect_size=\"5977088\"] \n  17 -> 18 [size =\"5977088\"]\n  17 -> 19 [size =\"5977088\"]\n  18 [size=\"68408320\", alpha=\"0.13\", expect_size=\"27363328\"] \n  18 -> 20 [size =\"27363328\"]\n  18 -> 21 [size =\"27363328\"]\n  19 [size=\"51079680\", alpha=\"0.05\", expect_size=\"20431872\"] \n  19 -> 20 [size =\"20431872\"]\n  20 [size=\"61952000\", alpha=\"0.15\", expect_size=\"24780800\"] \n  21 [size=\"15854080\", alpha=\"0.15\", expect_size=\"6341632\"] \n  21 -> 22 [size =\"6341632\"]\n  21 -> 23 [size =\"6341632\"]\n  21 -> 24 [size =\"6341632\"]\n  22 [size=\"34869760\", alpha=\"0.05\", expect_size=\"13947904\"] \n  22 -> 25 [size =\"13947904\"]\n  22 -> 27 [size =\"13947904\"]\n  23 [size=\"36367360\", alpha=\"0.03\", expect_size=\"14546944\"] \n  23 -> 26 [size =\"14546944\"]\n  23 -> 27 [size =\"14546944\"]\n  24 [size=\"31270400\", alpha=\"0.15\", expect_size=\"12508160\"] \n  24 -> 26 [size =\"12508160\"]\n  25 [size=\"75133440\", alpha=\"0.00\", expect_size=\"30053376\"] \n  25 -> 28 [size =\"30053376\"]\n  25 -> 29 [size =\"30053376\"]\n  26 [size=\"95362560\", alpha=\"0.13\", expect_size=\"38145024\"] \n  27 [size=\"21767680\", alpha=\"0.00\", expect_size=\"8707072\"] \n  27 -> 28 [size =\"8707072\"]\n  27 -> 29 [size =\"8707072\"]\n  28 [size=\"51950080\", alpha=\"0.04\", expect_size=\"20780032\"] \n  28 -> 30 [size =\"20780032\"]\n  28 -> 32 [size =\"20780032\"]\n  29 [size=\"128504320\", alpha=\"0.08\", expect_size=\"51401728\"] \n  29 -> 31 [size =\"51401728\"]\n  29 -> 32 [size =\"51401728\"]\n  30 [size=\"37414400\", alpha=\"0.11\", expect_size=\"14965760\"] \n  30 -> 34 [size =\"14965760\"]\n  31 [size=\"126131200\", alpha=\"0.14\", expect_size=\"50452480\"] \n  31 -> 34 [size =\"50452480\"]\n  32 [size=\"94702080\", alpha=\"0.15\", expect_size=\"37880832\"] \n  32 -> 33 [size =\"37880832\"]\n  32 -> 34 [size =\"37880832\"]\n  33 [size=\"123591680\", alpha=\"0.15\", expect_size=\"49436672\"] \n  33 -> 35 [size =\"49436672\"]\n  33 -> 36 [size =\"49436672\"]\n  34 [size=\"22712320\", alpha=\"0.17\", expect_size=\"9084928\"] \n  34 -> 35 [size =\"9084928\"]\n  34 -> 36 [size =\"9084928\"]\n  35 [size=\"108904960\", alpha=\"0.08\", expect_size=\"43561984\"] \n  35 -> 37 [size =\"43561984\"]\n  36 [size=\"109990400\", alpha=\"0.01\", expect_size=\"43996160\"] \n  36 -> 37 [size =\"43996160\"]\n  36 -> 38 [size =\"43996160\"]\n  37 [size=\"66493440\", alpha=\"0.14\", expect_size=\"26597376\"] \n  37 -> 39 [size =\"26597376\"]\n  37 -> 40 [size =\"26597376\"]\n  38 [size=\"67194880\", alpha=\"0.17\", expect_size=\"26877952\"] \n  38 -> 39 [size =\"26877952\"]\n  38 -> 40 [size =\"26877952\"]\n  39 [size=\"91676160\", alpha=\"0.06\", expect_size=\"36670464\"] \n  39 -> 41 [size =\"36670464\"]\n  39 -> 42 [size =\"36670464\"]\n  40 [size=\"19105280\", alpha=\"0.03\", expect_size=\"7642112\"] \n  40 -> 41 [size =\"7642112\"]\n  40 -> 42 [size =\"7642112\"]\n  41 [size=\"86801920\", alpha=\"0.01\", expect_size=\"34720768\"] \n  41 -> 43 [size =\"34720768\"]\n  41 -> 44 [size =\"34720768\"]\n  41 -> 45 [size =\"34720768\"]\n  42 [size=\"50355200\", alpha=\"0.02\", expect_size=\"20142080\"] \n  42 -> 43 [size =\"20142080\"]\n  42 -> 44 [size =\"20142080\"]\n  43 [size=\"21450240\", alpha=\"0.08\", expect_size=\"8580096\"] \n  43 -> 46 [size =\"8580096\"]\n  43 -> 47 [size =\"8580096\"]\n  43 -> 48 [size =\"8580096\"]\n  44 [size=\"109486080\", alpha=\"0.16\", expect_size=\"43794432\"] \n  45 [size=\"93130240\", alpha=\"0.15\", expect_size=\"37252096\"] \n  45 -> 47 [size =\"37252096\"]\n  46 [size=\"22476800\", alpha=\"0.08\", expect_size=\"8990720\"] \n  46 -> 49 [size =\"8990720\"]\n  47 [size=\"27911680\", alpha=\"0.03\", expect_size=\"11164672\"] \n  48 [size=\"111267840\", alpha=\"0.04\", expect_size=\"44507136\"] \n  48 -> 50 [size =\"44507136\"]\n  49 [size=\"91924480\", alpha=\"0.04\", expect_size=\"36769792\"] \n  50 [size=\"125818880\", alpha=\"0.09\", expect_size=\"50327552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.213.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45215744\", alpha=\"0.10\", expect_size=\"22607872\"] \n  1 -> 3 [size =\"22607872\"]\n  1 -> 4 [size =\"22607872\"]\n  2 [size=\"104316928\", alpha=\"0.08\", expect_size=\"52158464\"] \n  3 [size=\"65269760\", alpha=\"0.19\", expect_size=\"32634880\"] \n  3 -> 5 [size =\"32634880\"]\n  4 [size=\"66682880\", alpha=\"0.03\", expect_size=\"33341440\"] \n  4 -> 6 [size =\"33341440\"]\n  5 [size=\"80666624\", alpha=\"0.19\", expect_size=\"40333312\"] \n  5 -> 8 [size =\"40333312\"]\n  6 [size=\"21614592\", alpha=\"0.16\", expect_size=\"10807296\"] \n  6 -> 7 [size =\"10807296\"]\n  7 [size=\"29157376\", alpha=\"0.04\", expect_size=\"14578688\"] \n  7 -> 9 [size =\"14578688\"]\n  7 -> 10 [size =\"14578688\"]\n  8 [size=\"17719296\", alpha=\"0.11\", expect_size=\"8859648\"] \n  9 [size=\"24354816\", alpha=\"0.17\", expect_size=\"12177408\"] \n  9 -> 11 [size =\"12177408\"]\n  9 -> 12 [size =\"12177408\"]\n  10 [size=\"64493568\", alpha=\"0.10\", expect_size=\"32246784\"] \n  10 -> 13 [size =\"32246784\"]\n  11 [size=\"67149824\", alpha=\"0.06\", expect_size=\"33574912\"] \n  11 -> 15 [size =\"33574912\"]\n  12 [size=\"18274304\", alpha=\"0.12\", expect_size=\"9137152\"] \n  13 [size=\"53825536\", alpha=\"0.13\", expect_size=\"26912768\"] \n  13 -> 14 [size =\"26912768\"]\n  14 [size=\"47667200\", alpha=\"0.01\", expect_size=\"23833600\"] \n  14 -> 17 [size =\"23833600\"]\n  14 -> 18 [size =\"23833600\"]\n  15 [size=\"61427712\", alpha=\"0.14\", expect_size=\"30713856\"] \n  15 -> 16 [size =\"30713856\"]\n  16 [size=\"58497024\", alpha=\"0.06\", expect_size=\"29248512\"] \n  16 -> 19 [size =\"29248512\"]\n  16 -> 20 [size =\"29248512\"]\n  16 -> 21 [size =\"29248512\"]\n  17 [size=\"40722432\", alpha=\"0.03\", expect_size=\"20361216\"] \n  18 [size=\"57804800\", alpha=\"0.12\", expect_size=\"28902400\"] \n  19 [size=\"16967680\", alpha=\"0.02\", expect_size=\"8483840\"] \n  19 -> 22 [size =\"8483840\"]\n  20 [size=\"96133120\", alpha=\"0.17\", expect_size=\"48066560\"] \n  20 -> 23 [size =\"48066560\"]\n  21 [size=\"49463296\", alpha=\"0.00\", expect_size=\"24731648\"] \n  21 -> 22 [size =\"24731648\"]\n  21 -> 23 [size =\"24731648\"]\n  22 [size=\"78305280\", alpha=\"0.03\", expect_size=\"39152640\"] \n  22 -> 24 [size =\"39152640\"]\n  23 [size=\"39028736\", alpha=\"0.17\", expect_size=\"19514368\"] \n  23 -> 25 [size =\"19514368\"]\n  24 [size=\"101711872\", alpha=\"0.03\", expect_size=\"50855936\"] \n  24 -> 26 [size =\"50855936\"]\n  25 [size=\"11442176\", alpha=\"0.05\", expect_size=\"5721088\"] \n  25 -> 27 [size =\"5721088\"]\n  26 [size=\"75372544\", alpha=\"0.08\", expect_size=\"37686272\"] \n  26 -> 28 [size =\"37686272\"]\n  26 -> 30 [size =\"37686272\"]\n  27 [size=\"104515584\", alpha=\"0.15\", expect_size=\"52257792\"] \n  27 -> 29 [size =\"52257792\"]\n  28 [size=\"23070720\", alpha=\"0.04\", expect_size=\"11535360\"] \n  29 [size=\"78307328\", alpha=\"0.16\", expect_size=\"39153664\"] \n  29 -> 31 [size =\"39153664\"]\n  30 [size=\"86458368\", alpha=\"0.20\", expect_size=\"43229184\"] \n  30 -> 31 [size =\"43229184\"]\n  30 -> 32 [size =\"43229184\"]\n  30 -> 33 [size =\"43229184\"]\n  31 [size=\"73330688\", alpha=\"0.15\", expect_size=\"36665344\"] \n  32 [size=\"73656320\", alpha=\"0.12\", expect_size=\"36828160\"] \n  32 -> 34 [size =\"36828160\"]\n  33 [size=\"86894592\", alpha=\"0.18\", expect_size=\"43447296\"] \n  33 -> 35 [size =\"43447296\"]\n  34 [size=\"73459712\", alpha=\"0.12\", expect_size=\"36729856\"] \n  35 [size=\"89548800\", alpha=\"0.17\", expect_size=\"44774400\"] \n  35 -> 36 [size =\"44774400\"]\n  35 -> 37 [size =\"44774400\"]\n  36 [size=\"16601088\", alpha=\"0.12\", expect_size=\"8300544\"] \n  36 -> 38 [size =\"8300544\"]\n  36 -> 39 [size =\"8300544\"]\n  37 [size=\"54489088\", alpha=\"0.14\", expect_size=\"27244544\"] \n  38 [size=\"33144832\", alpha=\"0.05\", expect_size=\"16572416\"] \n  39 [size=\"54171648\", alpha=\"0.18\", expect_size=\"27085824\"] \n  39 -> 40 [size =\"27085824\"]\n  39 -> 41 [size =\"27085824\"]\n  40 [size=\"37070848\", alpha=\"0.09\", expect_size=\"18535424\"] \n  40 -> 42 [size =\"18535424\"]\n  40 -> 43 [size =\"18535424\"]\n  41 [size=\"35848192\", alpha=\"0.09\", expect_size=\"17924096\"] \n  42 [size=\"12800000\", alpha=\"0.02\", expect_size=\"6400000\"] \n  43 [size=\"70086656\", alpha=\"0.02\", expect_size=\"35043328\"] \n  43 -> 44 [size =\"35043328\"]\n  43 -> 45 [size =\"35043328\"]\n  44 [size=\"62306304\", alpha=\"0.01\", expect_size=\"31153152\"] \n  45 [size=\"26640384\", alpha=\"0.00\", expect_size=\"13320192\"] \n  45 -> 46 [size =\"13320192\"]\n  45 -> 47 [size =\"13320192\"]\n  45 -> 48 [size =\"13320192\"]\n  46 [size=\"14030848\", alpha=\"0.13\", expect_size=\"7015424\"] \n  47 [size=\"72493056\", alpha=\"0.06\", expect_size=\"36246528\"] \n  47 -> 49 [size =\"36246528\"]\n  48 [size=\"43517952\", alpha=\"0.02\", expect_size=\"21758976\"] \n  48 -> 49 [size =\"21758976\"]\n  48 -> 50 [size =\"21758976\"]\n  49 [size=\"68796416\", alpha=\"0.12\", expect_size=\"34398208\"] \n  50 [size=\"60442624\", alpha=\"0.18\", expect_size=\"30221312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.214.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99003733\", alpha=\"0.16\", expect_size=\"29701120\"] \n  1 -> 2 [size =\"29701120\"]\n  2 [size=\"64122880\", alpha=\"0.15\", expect_size=\"19236864\"] \n  2 -> 3 [size =\"19236864\"]\n  3 [size=\"57603413\", alpha=\"0.10\", expect_size=\"17281024\"] \n  3 -> 4 [size =\"17281024\"]\n  4 [size=\"21821440\", alpha=\"0.04\", expect_size=\"6546432\"] \n  4 -> 5 [size =\"6546432\"]\n  5 [size=\"101369173\", alpha=\"0.04\", expect_size=\"30410752\"] \n  5 -> 6 [size =\"30410752\"]\n  6 [size=\"147927040\", alpha=\"0.19\", expect_size=\"44378112\"] \n  6 -> 7 [size =\"44378112\"]\n  7 [size=\"131341653\", alpha=\"0.03\", expect_size=\"39402496\"] \n  7 -> 8 [size =\"39402496\"]\n  8 [size=\"75745280\", alpha=\"0.12\", expect_size=\"22723584\"] \n  8 -> 9 [size =\"22723584\"]\n  9 [size=\"127853227\", alpha=\"0.17\", expect_size=\"38355968\"] \n  9 -> 10 [size =\"38355968\"]\n  10 [size=\"21667840\", alpha=\"0.09\", expect_size=\"6500352\"] \n  10 -> 11 [size =\"6500352\"]\n  11 [size=\"43939840\", alpha=\"0.17\", expect_size=\"13181952\"] \n  11 -> 12 [size =\"13181952\"]\n  12 [size=\"167280640\", alpha=\"0.16\", expect_size=\"50184192\"] \n  12 -> 13 [size =\"50184192\"]\n  13 [size=\"125235200\", alpha=\"0.09\", expect_size=\"37570560\"] \n  13 -> 14 [size =\"37570560\"]\n  14 [size=\"48011947\", alpha=\"0.07\", expect_size=\"14403584\"] \n  14 -> 15 [size =\"14403584\"]\n  15 [size=\"77271040\", alpha=\"0.11\", expect_size=\"23181312\"] \n  15 -> 16 [size =\"23181312\"]\n  16 [size=\"105779200\", alpha=\"0.15\", expect_size=\"31733760\"] \n  16 -> 17 [size =\"31733760\"]\n  17 [size=\"96873813\", alpha=\"0.10\", expect_size=\"29062144\"] \n  17 -> 18 [size =\"29062144\"]\n  18 [size=\"122306560\", alpha=\"0.20\", expect_size=\"36691968\"] \n  18 -> 19 [size =\"36691968\"]\n  19 [size=\"55620267\", alpha=\"0.20\", expect_size=\"16686080\"] \n  19 -> 20 [size =\"16686080\"]\n  20 [size=\"34102613\", alpha=\"0.18\", expect_size=\"10230784\"] \n  20 -> 21 [size =\"10230784\"]\n  21 [size=\"105577813\", alpha=\"0.07\", expect_size=\"31673344\"] \n  21 -> 22 [size =\"31673344\"]\n  22 [size=\"83793920\", alpha=\"0.02\", expect_size=\"25138176\"] \n  22 -> 23 [size =\"25138176\"]\n  23 [size=\"54886400\", alpha=\"0.02\", expect_size=\"16465920\"] \n  23 -> 24 [size =\"16465920\"]\n  24 [size=\"129556480\", alpha=\"0.02\", expect_size=\"38866944\"] \n  24 -> 25 [size =\"38866944\"]\n  25 [size=\"27074560\", alpha=\"0.13\", expect_size=\"8122368\"] \n  25 -> 26 [size =\"8122368\"]\n  26 [size=\"115701760\", alpha=\"0.01\", expect_size=\"34710528\"] \n  26 -> 27 [size =\"34710528\"]\n  27 [size=\"75431253\", alpha=\"0.03\", expect_size=\"22629376\"] \n  27 -> 28 [size =\"22629376\"]\n  28 [size=\"150784000\", alpha=\"0.13\", expect_size=\"45235200\"] \n  28 -> 29 [size =\"45235200\"]\n  29 [size=\"148671147\", alpha=\"0.16\", expect_size=\"44601344\"] \n  29 -> 30 [size =\"44601344\"]\n  30 [size=\"147500373\", alpha=\"0.00\", expect_size=\"44250112\"] \n  30 -> 31 [size =\"44250112\"]\n  31 [size=\"134297600\", alpha=\"0.08\", expect_size=\"40289280\"] \n  31 -> 32 [size =\"40289280\"]\n  32 [size=\"33300480\", alpha=\"0.15\", expect_size=\"9990144\"] \n  32 -> 33 [size =\"9990144\"]\n  33 [size=\"48448853\", alpha=\"0.15\", expect_size=\"14534656\"] \n  33 -> 34 [size =\"14534656\"]\n  34 [size=\"62583467\", alpha=\"0.19\", expect_size=\"18775040\"] \n  34 -> 35 [size =\"18775040\"]\n  35 [size=\"80052907\", alpha=\"0.11\", expect_size=\"24015872\"] \n  35 -> 36 [size =\"24015872\"]\n  36 [size=\"27463680\", alpha=\"0.14\", expect_size=\"8239104\"] \n  36 -> 37 [size =\"8239104\"]\n  37 [size=\"35269973\", alpha=\"0.07\", expect_size=\"10580992\"] \n  37 -> 38 [size =\"10580992\"]\n  38 [size=\"60050773\", alpha=\"0.13\", expect_size=\"18015232\"] \n  38 -> 39 [size =\"18015232\"]\n  39 [size=\"160078507\", alpha=\"0.04\", expect_size=\"48023552\"] \n  39 -> 40 [size =\"48023552\"]\n  40 [size=\"131157333\", alpha=\"0.18\", expect_size=\"39347200\"] \n  40 -> 41 [size =\"39347200\"]\n  41 [size=\"134772053\", alpha=\"0.02\", expect_size=\"40431616\"] \n  41 -> 42 [size =\"40431616\"]\n  42 [size=\"40096427\", alpha=\"0.15\", expect_size=\"12028928\"] \n  42 -> 43 [size =\"12028928\"]\n  43 [size=\"154228053\", alpha=\"0.13\", expect_size=\"46268416\"] \n  43 -> 44 [size =\"46268416\"]\n  44 [size=\"113066667\", alpha=\"0.05\", expect_size=\"33920000\"] \n  44 -> 45 [size =\"33920000\"]\n  45 [size=\"104434347\", alpha=\"0.18\", expect_size=\"31330304\"] \n  45 -> 46 [size =\"31330304\"]\n  46 [size=\"30839467\", alpha=\"0.04\", expect_size=\"9251840\"] \n  46 -> 47 [size =\"9251840\"]\n  47 [size=\"137878187\", alpha=\"0.17\", expect_size=\"41363456\"] \n  47 -> 48 [size =\"41363456\"]\n  48 [size=\"33085440\", alpha=\"0.07\", expect_size=\"9925632\"] \n  48 -> 49 [size =\"9925632\"]\n  49 [size=\"135871147\", alpha=\"0.14\", expect_size=\"40761344\"] \n  49 -> 50 [size =\"40761344\"]\n  50 [size=\"169803093\", alpha=\"0.17\", expect_size=\"50940928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.215.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27187200\", alpha=\"0.08\", expect_size=\"13593600\"] \n  1 -> 5 [size =\"13593600\"]\n  2 [size=\"96264192\", alpha=\"0.03\", expect_size=\"48132096\"] \n  2 -> 3 [size =\"48132096\"]\n  2 -> 4 [size =\"48132096\"]\n  3 [size=\"99934208\", alpha=\"0.18\", expect_size=\"49967104\"] \n  3 -> 7 [size =\"49967104\"]\n  3 -> 8 [size =\"49967104\"]\n  4 [size=\"47865856\", alpha=\"0.17\", expect_size=\"23932928\"] \n  4 -> 6 [size =\"23932928\"]\n  4 -> 7 [size =\"23932928\"]\n  5 [size=\"41117696\", alpha=\"0.11\", expect_size=\"20558848\"] \n  5 -> 8 [size =\"20558848\"]\n  6 [size=\"71170048\", alpha=\"0.12\", expect_size=\"35585024\"] \n  6 -> 10 [size =\"35585024\"]\n  6 -> 11 [size =\"35585024\"]\n  7 [size=\"16340992\", alpha=\"0.12\", expect_size=\"8170496\"] \n  7 -> 9 [size =\"8170496\"]\n  7 -> 11 [size =\"8170496\"]\n  8 [size=\"62099456\", alpha=\"0.10\", expect_size=\"31049728\"] \n  9 [size=\"100810752\", alpha=\"0.16\", expect_size=\"50405376\"] \n  9 -> 12 [size =\"50405376\"]\n  9 -> 13 [size =\"50405376\"]\n  10 [size=\"25356288\", alpha=\"0.15\", expect_size=\"12678144\"] \n  10 -> 12 [size =\"12678144\"]\n  11 [size=\"48789504\", alpha=\"0.01\", expect_size=\"24394752\"] \n  11 -> 13 [size =\"24394752\"]\n  12 [size=\"87005184\", alpha=\"0.04\", expect_size=\"43502592\"] \n  13 [size=\"102535168\", alpha=\"0.10\", expect_size=\"51267584\"] \n  13 -> 14 [size =\"51267584\"]\n  13 -> 15 [size =\"51267584\"]\n  13 -> 16 [size =\"51267584\"]\n  14 [size=\"93691904\", alpha=\"0.16\", expect_size=\"46845952\"] \n  15 [size=\"77625344\", alpha=\"0.12\", expect_size=\"38812672\"] \n  15 -> 17 [size =\"38812672\"]\n  15 -> 18 [size =\"38812672\"]\n  16 [size=\"34043904\", alpha=\"0.11\", expect_size=\"17021952\"] \n  16 -> 17 [size =\"17021952\"]\n  17 [size=\"91162624\", alpha=\"0.15\", expect_size=\"45581312\"] \n  17 -> 19 [size =\"45581312\"]\n  17 -> 20 [size =\"45581312\"]\n  18 [size=\"55756800\", alpha=\"0.05\", expect_size=\"27878400\"] \n  19 [size=\"101103616\", alpha=\"0.01\", expect_size=\"50551808\"] \n  20 [size=\"83400704\", alpha=\"0.05\", expect_size=\"41700352\"] \n  20 -> 21 [size =\"41700352\"]\n  20 -> 22 [size =\"41700352\"]\n  21 [size=\"61874176\", alpha=\"0.13\", expect_size=\"30937088\"] \n  21 -> 23 [size =\"30937088\"]\n  21 -> 24 [size =\"30937088\"]\n  22 [size=\"67551232\", alpha=\"0.19\", expect_size=\"33775616\"] \n  23 [size=\"84635648\", alpha=\"0.04\", expect_size=\"42317824\"] \n  23 -> 26 [size =\"42317824\"]\n  24 [size=\"39366656\", alpha=\"0.17\", expect_size=\"19683328\"] \n  24 -> 25 [size =\"19683328\"]\n  24 -> 26 [size =\"19683328\"]\n  25 [size=\"21475328\", alpha=\"0.16\", expect_size=\"10737664\"] \n  25 -> 27 [size =\"10737664\"]\n  26 [size=\"77236224\", alpha=\"0.08\", expect_size=\"38618112\"] \n  26 -> 28 [size =\"38618112\"]\n  27 [size=\"34580480\", alpha=\"0.02\", expect_size=\"17290240\"] \n  27 -> 29 [size =\"17290240\"]\n  27 -> 30 [size =\"17290240\"]\n  28 [size=\"104298496\", alpha=\"0.06\", expect_size=\"52149248\"] \n  28 -> 29 [size =\"52149248\"]\n  29 [size=\"34027520\", alpha=\"0.10\", expect_size=\"17013760\"] \n  29 -> 32 [size =\"17013760\"]\n  30 [size=\"38699008\", alpha=\"0.16\", expect_size=\"19349504\"] \n  30 -> 31 [size =\"19349504\"]\n  31 [size=\"63463424\", alpha=\"0.11\", expect_size=\"31731712\"] \n  31 -> 33 [size =\"31731712\"]\n  31 -> 34 [size =\"31731712\"]\n  31 -> 35 [size =\"31731712\"]\n  32 [size=\"30654464\", alpha=\"0.02\", expect_size=\"15327232\"] \n  33 [size=\"26048512\", alpha=\"0.13\", expect_size=\"13024256\"] \n  34 [size=\"44726272\", alpha=\"0.01\", expect_size=\"22363136\"] \n  34 -> 36 [size =\"22363136\"]\n  34 -> 37 [size =\"22363136\"]\n  35 [size=\"29693952\", alpha=\"0.03\", expect_size=\"14846976\"] \n  36 [size=\"11585536\", alpha=\"0.11\", expect_size=\"5792768\"] \n  36 -> 39 [size =\"5792768\"]\n  37 [size=\"51085312\", alpha=\"0.15\", expect_size=\"25542656\"] \n  37 -> 38 [size =\"25542656\"]\n  37 -> 39 [size =\"25542656\"]\n  38 [size=\"59676672\", alpha=\"0.09\", expect_size=\"29838336\"] \n  38 -> 40 [size =\"29838336\"]\n  38 -> 41 [size =\"29838336\"]\n  39 [size=\"88977408\", alpha=\"0.03\", expect_size=\"44488704\"] \n  39 -> 40 [size =\"44488704\"]\n  39 -> 41 [size =\"44488704\"]\n  40 [size=\"40564736\", alpha=\"0.11\", expect_size=\"20282368\"] \n  40 -> 42 [size =\"20282368\"]\n  41 [size=\"23687168\", alpha=\"0.11\", expect_size=\"11843584\"] \n  41 -> 42 [size =\"11843584\"]\n  41 -> 43 [size =\"11843584\"]\n  42 [size=\"76644352\", alpha=\"0.03\", expect_size=\"38322176\"] \n  42 -> 44 [size =\"38322176\"]\n  43 [size=\"87216128\", alpha=\"0.10\", expect_size=\"43608064\"] \n  43 -> 45 [size =\"43608064\"]\n  44 [size=\"53078016\", alpha=\"0.04\", expect_size=\"26539008\"] \n  44 -> 46 [size =\"26539008\"]\n  44 -> 47 [size =\"26539008\"]\n  44 -> 48 [size =\"26539008\"]\n  45 [size=\"57438208\", alpha=\"0.19\", expect_size=\"28719104\"] \n  45 -> 46 [size =\"28719104\"]\n  46 [size=\"73066496\", alpha=\"0.09\", expect_size=\"36533248\"] \n  46 -> 49 [size =\"36533248\"]\n  46 -> 50 [size =\"36533248\"]\n  47 [size=\"29151232\", alpha=\"0.05\", expect_size=\"14575616\"] \n  47 -> 50 [size =\"14575616\"]\n  48 [size=\"100739072\", alpha=\"0.20\", expect_size=\"50369536\"] \n  48 -> 49 [size =\"50369536\"]\n  49 [size=\"49987584\", alpha=\"0.20\", expect_size=\"24993792\"] \n  50 [size=\"61888512\", alpha=\"0.06\", expect_size=\"30944256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.216.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45349547\", alpha=\"0.05\", expect_size=\"13604864\"] \n  1 -> 12 [size =\"13604864\"]\n  2 [size=\"149978453\", alpha=\"0.19\", expect_size=\"44993536\"] \n  2 -> 8 [size =\"44993536\"]\n  2 -> 12 [size =\"44993536\"]\n  3 [size=\"70597973\", alpha=\"0.13\", expect_size=\"21179392\"] \n  3 -> 8 [size =\"21179392\"]\n  3 -> 9 [size =\"21179392\"]\n  3 -> 13 [size =\"21179392\"]\n  4 [size=\"73970347\", alpha=\"0.05\", expect_size=\"22191104\"] \n  4 -> 9 [size =\"22191104\"]\n  5 [size=\"112302080\", alpha=\"0.02\", expect_size=\"33690624\"] \n  5 -> 9 [size =\"33690624\"]\n  5 -> 11 [size =\"33690624\"]\n  6 [size=\"22050133\", alpha=\"0.17\", expect_size=\"6615040\"] \n  6 -> 9 [size =\"6615040\"]\n  6 -> 11 [size =\"6615040\"]\n  7 [size=\"23620267\", alpha=\"0.03\", expect_size=\"7086080\"] \n  7 -> 10 [size =\"7086080\"]\n  7 -> 11 [size =\"7086080\"]\n  7 -> 12 [size =\"7086080\"]\n  8 [size=\"169386667\", alpha=\"0.16\", expect_size=\"50816000\"] \n  8 -> 17 [size =\"50816000\"]\n  9 [size=\"55715840\", alpha=\"0.18\", expect_size=\"16714752\"] \n  9 -> 18 [size =\"16714752\"]\n  9 -> 19 [size =\"16714752\"]\n  10 [size=\"33532587\", alpha=\"0.08\", expect_size=\"10059776\"] \n  10 -> 14 [size =\"10059776\"]\n  10 -> 16 [size =\"10059776\"]\n  10 -> 19 [size =\"10059776\"]\n  11 [size=\"75629227\", alpha=\"0.10\", expect_size=\"22688768\"] \n  11 -> 15 [size =\"22688768\"]\n  12 [size=\"115544747\", alpha=\"0.06\", expect_size=\"34663424\"] \n  12 -> 15 [size =\"34663424\"]\n  12 -> 19 [size =\"34663424\"]\n  13 [size=\"104714240\", alpha=\"0.13\", expect_size=\"31414272\"] \n  13 -> 14 [size =\"31414272\"]\n  13 -> 15 [size =\"31414272\"]\n  13 -> 17 [size =\"31414272\"]\n  14 [size=\"48561493\", alpha=\"0.04\", expect_size=\"14568448\"] \n  14 -> 22 [size =\"14568448\"]\n  14 -> 23 [size =\"14568448\"]\n  14 -> 25 [size =\"14568448\"]\n  15 [size=\"87179947\", alpha=\"0.12\", expect_size=\"26153984\"] \n  15 -> 20 [size =\"26153984\"]\n  16 [size=\"100785493\", alpha=\"0.19\", expect_size=\"30235648\"] \n  16 -> 21 [size =\"30235648\"]\n  17 [size=\"80721920\", alpha=\"0.20\", expect_size=\"24216576\"] \n  17 -> 20 [size =\"24216576\"]\n  17 -> 21 [size =\"24216576\"]\n  17 -> 23 [size =\"24216576\"]\n  17 -> 24 [size =\"24216576\"]\n  18 [size=\"102570667\", alpha=\"0.03\", expect_size=\"30771200\"] \n  18 -> 22 [size =\"30771200\"]\n  19 [size=\"71925760\", alpha=\"0.06\", expect_size=\"21577728\"] \n  19 -> 21 [size =\"21577728\"]\n  19 -> 22 [size =\"21577728\"]\n  19 -> 25 [size =\"21577728\"]\n  20 [size=\"52305920\", alpha=\"0.12\", expect_size=\"15691776\"] \n  20 -> 28 [size =\"15691776\"]\n  20 -> 32 [size =\"15691776\"]\n  21 [size=\"117934080\", alpha=\"0.02\", expect_size=\"35380224\"] \n  21 -> 30 [size =\"35380224\"]\n  21 -> 31 [size =\"35380224\"]\n  21 -> 32 [size =\"35380224\"]\n  22 [size=\"40437760\", alpha=\"0.09\", expect_size=\"12131328\"] \n  22 -> 29 [size =\"12131328\"]\n  22 -> 30 [size =\"12131328\"]\n  23 [size=\"87084373\", alpha=\"0.03\", expect_size=\"26125312\"] \n  23 -> 29 [size =\"26125312\"]\n  23 -> 30 [size =\"26125312\"]\n  24 [size=\"28559360\", alpha=\"0.03\", expect_size=\"8567808\"] \n  24 -> 27 [size =\"8567808\"]\n  25 [size=\"62651733\", alpha=\"0.16\", expect_size=\"18795520\"] \n  25 -> 26 [size =\"18795520\"]\n  25 -> 28 [size =\"18795520\"]\n  26 [size=\"153183573\", alpha=\"0.09\", expect_size=\"45955072\"] \n  26 -> 37 [size =\"45955072\"]\n  27 [size=\"144011947\", alpha=\"0.03\", expect_size=\"43203584\"] \n  28 [size=\"143868587\", alpha=\"0.17\", expect_size=\"43160576\"] \n  28 -> 35 [size =\"43160576\"]\n  28 -> 37 [size =\"43160576\"]\n  28 -> 38 [size =\"43160576\"]\n  29 [size=\"165724160\", alpha=\"0.15\", expect_size=\"49717248\"] \n  29 -> 36 [size =\"49717248\"]\n  30 [size=\"56739840\", alpha=\"0.16\", expect_size=\"17021952\"] \n  30 -> 33 [size =\"17021952\"]\n  30 -> 36 [size =\"17021952\"]\n  31 [size=\"154992640\", alpha=\"0.03\", expect_size=\"46497792\"] \n  31 -> 36 [size =\"46497792\"]\n  31 -> 37 [size =\"46497792\"]\n  32 [size=\"173786453\", alpha=\"0.03\", expect_size=\"52135936\"] \n  32 -> 34 [size =\"52135936\"]\n  32 -> 36 [size =\"52135936\"]\n  32 -> 37 [size =\"52135936\"]\n  32 -> 38 [size =\"52135936\"]\n  33 [size=\"88333653\", alpha=\"0.15\", expect_size=\"26500096\"] \n  33 -> 45 [size =\"26500096\"]\n  34 [size=\"109049173\", alpha=\"0.10\", expect_size=\"32714752\"] \n  34 -> 41 [size =\"32714752\"]\n  34 -> 42 [size =\"32714752\"]\n  34 -> 43 [size =\"32714752\"]\n  35 [size=\"135140693\", alpha=\"0.14\", expect_size=\"40542208\"] \n  35 -> 39 [size =\"40542208\"]\n  35 -> 40 [size =\"40542208\"]\n  35 -> 41 [size =\"40542208\"]\n  35 -> 43 [size =\"40542208\"]\n  35 -> 44 [size =\"40542208\"]\n  36 [size=\"104147627\", alpha=\"0.09\", expect_size=\"31244288\"] \n  36 -> 39 [size =\"31244288\"]\n  36 -> 41 [size =\"31244288\"]\n  37 [size=\"20647253\", alpha=\"0.11\", expect_size=\"6194176\"] \n  37 -> 39 [size =\"6194176\"]\n  37 -> 43 [size =\"6194176\"]\n  38 [size=\"48073387\", alpha=\"0.05\", expect_size=\"14422016\"] \n  39 [size=\"23763627\", alpha=\"0.06\", expect_size=\"7129088\"] \n  39 -> 46 [size =\"7129088\"]\n  40 [size=\"143250773\", alpha=\"0.10\", expect_size=\"42975232\"] \n  40 -> 47 [size =\"42975232\"]\n  41 [size=\"108011520\", alpha=\"0.08\", expect_size=\"32403456\"] \n  41 -> 46 [size =\"32403456\"]\n  41 -> 47 [size =\"32403456\"]\n  41 -> 48 [size =\"32403456\"]\n  41 -> 49 [size =\"32403456\"]\n  42 [size=\"133492053\", alpha=\"0.09\", expect_size=\"40047616\"] \n  42 -> 46 [size =\"40047616\"]\n  42 -> 48 [size =\"40047616\"]\n  42 -> 48 [size =\"40047616\"]\n  43 [size=\"160471040\", alpha=\"0.18\", expect_size=\"48141312\"] \n  43 -> 49 [size =\"48141312\"]\n  44 [size=\"118903467\", alpha=\"0.09\", expect_size=\"35671040\"] \n  44 -> 49 [size =\"35671040\"]\n  45 [size=\"39877973\", alpha=\"0.06\", expect_size=\"11963392\"] \n  45 -> 50 [size =\"11963392\"]\n  46 [size=\"150388053\", alpha=\"0.20\", expect_size=\"45116416\"] \n  47 [size=\"61880320\", alpha=\"0.09\", expect_size=\"18564096\"] \n  48 [size=\"152180053\", alpha=\"0.15\", expect_size=\"45654016\"] \n  49 [size=\"34522453\", alpha=\"0.00\", expect_size=\"10356736\"] \n  50 [size=\"77933227\", alpha=\"0.10\", expect_size=\"23379968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.217.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33047893\", alpha=\"0.13\", expect_size=\"9914368\"] \n  1 -> 2 [size =\"9914368\"]\n  2 [size=\"29696000\", alpha=\"0.09\", expect_size=\"8908800\"] \n  2 -> 3 [size =\"8908800\"]\n  3 [size=\"157870080\", alpha=\"0.08\", expect_size=\"47361024\"] \n  3 -> 4 [size =\"47361024\"]\n  4 [size=\"48482987\", alpha=\"0.05\", expect_size=\"14544896\"] \n  4 -> 5 [size =\"14544896\"]\n  5 [size=\"156006400\", alpha=\"0.04\", expect_size=\"46801920\"] \n  5 -> 6 [size =\"46801920\"]\n  6 [size=\"138584747\", alpha=\"0.16\", expect_size=\"41575424\"] \n  6 -> 7 [size =\"41575424\"]\n  7 [size=\"83176107\", alpha=\"0.13\", expect_size=\"24952832\"] \n  7 -> 8 [size =\"24952832\"]\n  8 [size=\"146162347\", alpha=\"0.03\", expect_size=\"43848704\"] \n  8 -> 9 [size =\"43848704\"]\n  9 [size=\"65082027\", alpha=\"0.09\", expect_size=\"19524608\"] \n  9 -> 10 [size =\"19524608\"]\n  10 [size=\"21971627\", alpha=\"0.14\", expect_size=\"6591488\"] \n  10 -> 11 [size =\"6591488\"]\n  11 [size=\"130556587\", alpha=\"0.12\", expect_size=\"39166976\"] \n  11 -> 12 [size =\"39166976\"]\n  12 [size=\"74707627\", alpha=\"0.16\", expect_size=\"22412288\"] \n  12 -> 13 [size =\"22412288\"]\n  13 [size=\"146326187\", alpha=\"0.09\", expect_size=\"43897856\"] \n  13 -> 14 [size =\"43897856\"]\n  14 [size=\"49776640\", alpha=\"0.04\", expect_size=\"14932992\"] \n  14 -> 15 [size =\"14932992\"]\n  15 [size=\"87115093\", alpha=\"0.01\", expect_size=\"26134528\"] \n  15 -> 16 [size =\"26134528\"]\n  16 [size=\"121470293\", alpha=\"0.07\", expect_size=\"36441088\"] \n  16 -> 17 [size =\"36441088\"]\n  17 [size=\"87831893\", alpha=\"0.18\", expect_size=\"26349568\"] \n  17 -> 18 [size =\"26349568\"]\n  18 [size=\"30709760\", alpha=\"0.19\", expect_size=\"9212928\"] \n  18 -> 19 [size =\"9212928\"]\n  19 [size=\"53927253\", alpha=\"0.02\", expect_size=\"16178176\"] \n  19 -> 20 [size =\"16178176\"]\n  20 [size=\"128167253\", alpha=\"0.14\", expect_size=\"38450176\"] \n  20 -> 21 [size =\"38450176\"]\n  21 [size=\"77127680\", alpha=\"0.09\", expect_size=\"23138304\"] \n  21 -> 22 [size =\"23138304\"]\n  22 [size=\"174052693\", alpha=\"0.06\", expect_size=\"52215808\"] \n  22 -> 23 [size =\"52215808\"]\n  23 [size=\"145107627\", alpha=\"0.00\", expect_size=\"43532288\"] \n  23 -> 24 [size =\"43532288\"]\n  24 [size=\"60098560\", alpha=\"0.18\", expect_size=\"18029568\"] \n  24 -> 25 [size =\"18029568\"]\n  25 [size=\"88231253\", alpha=\"0.14\", expect_size=\"26469376\"] \n  25 -> 26 [size =\"26469376\"]\n  26 [size=\"99840000\", alpha=\"0.05\", expect_size=\"29952000\"] \n  26 -> 27 [size =\"29952000\"]\n  27 [size=\"157566293\", alpha=\"0.05\", expect_size=\"47269888\"] \n  27 -> 28 [size =\"47269888\"]\n  28 [size=\"143561387\", alpha=\"0.01\", expect_size=\"43068416\"] \n  28 -> 29 [size =\"43068416\"]\n  29 [size=\"139147947\", alpha=\"0.03\", expect_size=\"41744384\"] \n  29 -> 30 [size =\"41744384\"]\n  30 [size=\"151248213\", alpha=\"0.06\", expect_size=\"45374464\"] \n  30 -> 31 [size =\"45374464\"]\n  31 [size=\"107666773\", alpha=\"0.03\", expect_size=\"32300032\"] \n  31 -> 32 [size =\"32300032\"]\n  32 [size=\"23975253\", alpha=\"0.07\", expect_size=\"7192576\"] \n  32 -> 33 [size =\"7192576\"]\n  33 [size=\"69679787\", alpha=\"0.08\", expect_size=\"20903936\"] \n  33 -> 34 [size =\"20903936\"]\n  34 [size=\"70601387\", alpha=\"0.12\", expect_size=\"21180416\"] \n  34 -> 35 [size =\"21180416\"]\n  35 [size=\"57750187\", alpha=\"0.06\", expect_size=\"17325056\"] \n  35 -> 36 [size =\"17325056\"]\n  36 [size=\"169659733\", alpha=\"0.13\", expect_size=\"50897920\"] \n  36 -> 37 [size =\"50897920\"]\n  37 [size=\"55586133\", alpha=\"0.09\", expect_size=\"16675840\"] \n  37 -> 38 [size =\"16675840\"]\n  38 [size=\"95795200\", alpha=\"0.06\", expect_size=\"28738560\"] \n  38 -> 39 [size =\"28738560\"]\n  39 [size=\"104407040\", alpha=\"0.08\", expect_size=\"31322112\"] \n  39 -> 40 [size =\"31322112\"]\n  40 [size=\"129030827\", alpha=\"0.04\", expect_size=\"38709248\"] \n  40 -> 41 [size =\"38709248\"]\n  41 [size=\"174155093\", alpha=\"0.08\", expect_size=\"52246528\"] \n  41 -> 42 [size =\"52246528\"]\n  42 [size=\"38297600\", alpha=\"0.12\", expect_size=\"11489280\"] \n  42 -> 43 [size =\"11489280\"]\n  43 [size=\"93259093\", alpha=\"0.12\", expect_size=\"27977728\"] \n  43 -> 44 [size =\"27977728\"]\n  44 [size=\"153316693\", alpha=\"0.17\", expect_size=\"45995008\"] \n  44 -> 45 [size =\"45995008\"]\n  45 [size=\"93494613\", alpha=\"0.11\", expect_size=\"28048384\"] \n  45 -> 46 [size =\"28048384\"]\n  46 [size=\"140711253\", alpha=\"0.16\", expect_size=\"42213376\"] \n  46 -> 47 [size =\"42213376\"]\n  47 [size=\"84398080\", alpha=\"0.19\", expect_size=\"25319424\"] \n  47 -> 48 [size =\"25319424\"]\n  48 [size=\"152193707\", alpha=\"0.17\", expect_size=\"45658112\"] \n  48 -> 49 [size =\"45658112\"]\n  49 [size=\"42765653\", alpha=\"0.11\", expect_size=\"12829696\"] \n  49 -> 50 [size =\"12829696\"]\n  50 [size=\"107137707\", alpha=\"0.03\", expect_size=\"32141312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.218.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59463680\", alpha=\"0.08\", expect_size=\"23785472\"] \n  1 -> 4 [size =\"23785472\"]\n  1 -> 5 [size =\"23785472\"]\n  2 [size=\"14743040\", alpha=\"0.16\", expect_size=\"5897216\"] \n  2 -> 5 [size =\"5897216\"]\n  3 [size=\"116669440\", alpha=\"0.00\", expect_size=\"46667776\"] \n  3 -> 5 [size =\"46667776\"]\n  4 [size=\"98060800\", alpha=\"0.12\", expect_size=\"39224320\"] \n  4 -> 6 [size =\"39224320\"]\n  4 -> 8 [size =\"39224320\"]\n  5 [size=\"30645760\", alpha=\"0.09\", expect_size=\"12258304\"] \n  5 -> 6 [size =\"12258304\"]\n  5 -> 7 [size =\"12258304\"]\n  5 -> 8 [size =\"12258304\"]\n  6 [size=\"41684480\", alpha=\"0.09\", expect_size=\"16673792\"] \n  6 -> 11 [size =\"16673792\"]\n  7 [size=\"94274560\", alpha=\"0.07\", expect_size=\"37709824\"] \n  7 -> 9 [size =\"37709824\"]\n  7 -> 10 [size =\"37709824\"]\n  8 [size=\"128389120\", alpha=\"0.15\", expect_size=\"51355648\"] \n  8 -> 10 [size =\"51355648\"]\n  8 -> 11 [size =\"51355648\"]\n  9 [size=\"85352960\", alpha=\"0.18\", expect_size=\"34141184\"] \n  9 -> 12 [size =\"34141184\"]\n  10 [size=\"128488960\", alpha=\"0.06\", expect_size=\"51395584\"] \n  10 -> 13 [size =\"51395584\"]\n  11 [size=\"115320320\", alpha=\"0.17\", expect_size=\"46128128\"] \n  11 -> 13 [size =\"46128128\"]\n  12 [size=\"43645440\", alpha=\"0.13\", expect_size=\"17458176\"] \n  12 -> 14 [size =\"17458176\"]\n  12 -> 15 [size =\"17458176\"]\n  13 [size=\"18086400\", alpha=\"0.10\", expect_size=\"7234560\"] \n  13 -> 14 [size =\"7234560\"]\n  13 -> 15 [size =\"7234560\"]\n  14 [size=\"18278400\", alpha=\"0.12\", expect_size=\"7311360\"] \n  14 -> 16 [size =\"7311360\"]\n  14 -> 17 [size =\"7311360\"]\n  15 [size=\"89072640\", alpha=\"0.09\", expect_size=\"35629056\"] \n  15 -> 16 [size =\"35629056\"]\n  15 -> 17 [size =\"35629056\"]\n  15 -> 18 [size =\"35629056\"]\n  16 [size=\"24112640\", alpha=\"0.06\", expect_size=\"9645056\"] \n  16 -> 20 [size =\"9645056\"]\n  17 [size=\"75312640\", alpha=\"0.02\", expect_size=\"30125056\"] \n  17 -> 19 [size =\"30125056\"]\n  18 [size=\"117939200\", alpha=\"0.17\", expect_size=\"47175680\"] \n  19 [size=\"88980480\", alpha=\"0.19\", expect_size=\"35592192\"] \n  19 -> 23 [size =\"35592192\"]\n  20 [size=\"79923200\", alpha=\"0.19\", expect_size=\"31969280\"] \n  20 -> 21 [size =\"31969280\"]\n  20 -> 22 [size =\"31969280\"]\n  20 -> 23 [size =\"31969280\"]\n  21 [size=\"113441280\", alpha=\"0.06\", expect_size=\"45376512\"] \n  21 -> 24 [size =\"45376512\"]\n  21 -> 25 [size =\"45376512\"]\n  21 -> 26 [size =\"45376512\"]\n  22 [size=\"96862720\", alpha=\"0.14\", expect_size=\"38745088\"] \n  22 -> 25 [size =\"38745088\"]\n  22 -> 26 [size =\"38745088\"]\n  23 [size=\"54878720\", alpha=\"0.20\", expect_size=\"21951488\"] \n  23 -> 24 [size =\"21951488\"]\n  23 -> 25 [size =\"21951488\"]\n  24 [size=\"112002560\", alpha=\"0.20\", expect_size=\"44801024\"] \n  24 -> 27 [size =\"44801024\"]\n  25 [size=\"63595520\", alpha=\"0.03\", expect_size=\"25438208\"] \n  25 -> 27 [size =\"25438208\"]\n  25 -> 28 [size =\"25438208\"]\n  26 [size=\"114856960\", alpha=\"0.10\", expect_size=\"45942784\"] \n  26 -> 28 [size =\"45942784\"]\n  27 [size=\"33809920\", alpha=\"0.12\", expect_size=\"13523968\"] \n  27 -> 30 [size =\"13523968\"]\n  28 [size=\"44595200\", alpha=\"0.13\", expect_size=\"17838080\"] \n  28 -> 29 [size =\"17838080\"]\n  28 -> 30 [size =\"17838080\"]\n  28 -> 31 [size =\"17838080\"]\n  29 [size=\"28172800\", alpha=\"0.06\", expect_size=\"11269120\"] \n  29 -> 32 [size =\"11269120\"]\n  29 -> 33 [size =\"11269120\"]\n  30 [size=\"20538880\", alpha=\"0.19\", expect_size=\"8215552\"] \n  30 -> 32 [size =\"8215552\"]\n  31 [size=\"129871360\", alpha=\"0.09\", expect_size=\"51948544\"] \n  31 -> 32 [size =\"51948544\"]\n  31 -> 33 [size =\"51948544\"]\n  32 [size=\"48640000\", alpha=\"0.05\", expect_size=\"19456000\"] \n  32 -> 34 [size =\"19456000\"]\n  32 -> 35 [size =\"19456000\"]\n  32 -> 36 [size =\"19456000\"]\n  33 [size=\"14412800\", alpha=\"0.01\", expect_size=\"5765120\"] \n  33 -> 36 [size =\"5765120\"]\n  34 [size=\"130746880\", alpha=\"0.18\", expect_size=\"52298752\"] \n  34 -> 37 [size =\"52298752\"]\n  34 -> 38 [size =\"52298752\"]\n  35 [size=\"128709120\", alpha=\"0.08\", expect_size=\"51483648\"] \n  35 -> 37 [size =\"51483648\"]\n  35 -> 38 [size =\"51483648\"]\n  36 [size=\"25835520\", alpha=\"0.20\", expect_size=\"10334208\"] \n  36 -> 37 [size =\"10334208\"]\n  36 -> 38 [size =\"10334208\"]\n  37 [size=\"86635520\", alpha=\"0.02\", expect_size=\"34654208\"] \n  37 -> 40 [size =\"34654208\"]\n  38 [size=\"38382080\", alpha=\"0.02\", expect_size=\"15352832\"] \n  38 -> 39 [size =\"15352832\"]\n  38 -> 40 [size =\"15352832\"]\n  39 [size=\"114321920\", alpha=\"0.15\", expect_size=\"45728768\"] \n  39 -> 41 [size =\"45728768\"]\n  39 -> 42 [size =\"45728768\"]\n  40 [size=\"32808960\", alpha=\"0.20\", expect_size=\"13123584\"] \n  40 -> 41 [size =\"13123584\"]\n  41 [size=\"27189760\", alpha=\"0.01\", expect_size=\"10875904\"] \n  41 -> 43 [size =\"10875904\"]\n  42 [size=\"81715200\", alpha=\"0.17\", expect_size=\"32686080\"] \n  42 -> 43 [size =\"32686080\"]\n  42 -> 44 [size =\"32686080\"]\n  42 -> 45 [size =\"32686080\"]\n  43 [size=\"108956160\", alpha=\"0.19\", expect_size=\"43582464\"] \n  43 -> 46 [size =\"43582464\"]\n  43 -> 47 [size =\"43582464\"]\n  44 [size=\"113896960\", alpha=\"0.19\", expect_size=\"45558784\"] \n  44 -> 46 [size =\"45558784\"]\n  44 -> 47 [size =\"45558784\"]\n  45 [size=\"101708800\", alpha=\"0.07\", expect_size=\"40683520\"] \n  45 -> 46 [size =\"40683520\"]\n  45 -> 47 [size =\"40683520\"]\n  46 [size=\"30394880\", alpha=\"0.12\", expect_size=\"12157952\"] \n  46 -> 49 [size =\"12157952\"]\n  46 -> 50 [size =\"12157952\"]\n  47 [size=\"28925440\", alpha=\"0.01\", expect_size=\"11570176\"] \n  47 -> 48 [size =\"11570176\"]\n  47 -> 49 [size =\"11570176\"]\n  47 -> 50 [size =\"11570176\"]\n  48 [size=\"41543680\", alpha=\"0.15\", expect_size=\"16617472\"] \n  49 [size=\"55116800\", alpha=\"0.11\", expect_size=\"22046720\"] \n  50 [size=\"27553280\", alpha=\"0.09\", expect_size=\"11021312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.219.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"168465067\", alpha=\"0.04\", expect_size=\"50539520\"] \n  1 -> 17 [size =\"50539520\"]\n  1 -> 18 [size =\"50539520\"]\n  1 -> 25 [size =\"50539520\"]\n  2 [size=\"101437440\", alpha=\"0.12\", expect_size=\"30431232\"] \n  2 -> 14 [size =\"30431232\"]\n  2 -> 17 [size =\"30431232\"]\n  2 -> 18 [size =\"30431232\"]\n  2 -> 20 [size =\"30431232\"]\n  2 -> 21 [size =\"30431232\"]\n  2 -> 24 [size =\"30431232\"]\n  3 [size=\"144186027\", alpha=\"0.04\", expect_size=\"43255808\"] \n  3 -> 14 [size =\"43255808\"]\n  3 -> 15 [size =\"43255808\"]\n  3 -> 16 [size =\"43255808\"]\n  3 -> 17 [size =\"43255808\"]\n  3 -> 20 [size =\"43255808\"]\n  3 -> 21 [size =\"43255808\"]\n  3 -> 22 [size =\"43255808\"]\n  4 [size=\"133174613\", alpha=\"0.12\", expect_size=\"39952384\"] \n  4 -> 15 [size =\"39952384\"]\n  4 -> 17 [size =\"39952384\"]\n  4 -> 18 [size =\"39952384\"]\n  4 -> 21 [size =\"39952384\"]\n  4 -> 24 [size =\"39952384\"]\n  4 -> 25 [size =\"39952384\"]\n  5 [size=\"52865707\", alpha=\"0.15\", expect_size=\"15859712\"] \n  5 -> 17 [size =\"15859712\"]\n  5 -> 20 [size =\"15859712\"]\n  5 -> 22 [size =\"15859712\"]\n  5 -> 23 [size =\"15859712\"]\n  6 [size=\"128720213\", alpha=\"0.04\", expect_size=\"38616064\"] \n  6 -> 17 [size =\"38616064\"]\n  6 -> 18 [size =\"38616064\"]\n  6 -> 20 [size =\"38616064\"]\n  6 -> 23 [size =\"38616064\"]\n  6 -> 24 [size =\"38616064\"]\n  7 [size=\"142059520\", alpha=\"0.05\", expect_size=\"42617856\"] \n  7 -> 15 [size =\"42617856\"]\n  7 -> 17 [size =\"42617856\"]\n  7 -> 18 [size =\"42617856\"]\n  7 -> 20 [size =\"42617856\"]\n  7 -> 24 [size =\"42617856\"]\n  8 [size=\"133010773\", alpha=\"0.14\", expect_size=\"39903232\"] \n  8 -> 24 [size =\"39903232\"]\n  9 [size=\"45390507\", alpha=\"0.06\", expect_size=\"13617152\"] \n  9 -> 23 [size =\"13617152\"]\n  9 -> 24 [size =\"13617152\"]\n  10 [size=\"94614187\", alpha=\"0.13\", expect_size=\"28384256\"] \n  10 -> 18 [size =\"28384256\"]\n  10 -> 23 [size =\"28384256\"]\n  10 -> 24 [size =\"28384256\"]\n  11 [size=\"171144533\", alpha=\"0.03\", expect_size=\"51343360\"] \n  11 -> 16 [size =\"51343360\"]\n  11 -> 19 [size =\"51343360\"]\n  11 -> 20 [size =\"51343360\"]\n  11 -> 23 [size =\"51343360\"]\n  11 -> 25 [size =\"51343360\"]\n  12 [size=\"45834240\", alpha=\"0.03\", expect_size=\"13750272\"] \n  12 -> 14 [size =\"13750272\"]\n  12 -> 17 [size =\"13750272\"]\n  12 -> 20 [size =\"13750272\"]\n  12 -> 21 [size =\"13750272\"]\n  12 -> 24 [size =\"13750272\"]\n  13 [size=\"139021653\", alpha=\"0.09\", expect_size=\"41706496\"] \n  13 -> 15 [size =\"41706496\"]\n  13 -> 21 [size =\"41706496\"]\n  13 -> 22 [size =\"41706496\"]\n  14 [size=\"169021440\", alpha=\"0.05\", expect_size=\"50706432\"] \n  14 -> 26 [size =\"50706432\"]\n  14 -> 29 [size =\"50706432\"]\n  14 -> 30 [size =\"50706432\"]\n  14 -> 34 [size =\"50706432\"]\n  14 -> 36 [size =\"50706432\"]\n  15 [size=\"103253333\", alpha=\"0.14\", expect_size=\"30976000\"] \n  15 -> 26 [size =\"30976000\"]\n  15 -> 27 [size =\"30976000\"]\n  15 -> 30 [size =\"30976000\"]\n  15 -> 31 [size =\"30976000\"]\n  15 -> 37 [size =\"30976000\"]\n  15 -> 38 [size =\"30976000\"]\n  16 [size=\"62382080\", alpha=\"0.04\", expect_size=\"18714624\"] \n  16 -> 29 [size =\"18714624\"]\n  16 -> 37 [size =\"18714624\"]\n  16 -> 38 [size =\"18714624\"]\n  17 [size=\"89951573\", alpha=\"0.19\", expect_size=\"26985472\"] \n  17 -> 26 [size =\"26985472\"]\n  17 -> 28 [size =\"26985472\"]\n  17 -> 30 [size =\"26985472\"]\n  18 [size=\"126720000\", alpha=\"0.15\", expect_size=\"38016000\"] \n  18 -> 26 [size =\"38016000\"]\n  18 -> 29 [size =\"38016000\"]\n  18 -> 31 [size =\"38016000\"]\n  18 -> 33 [size =\"38016000\"]\n  19 [size=\"82561707\", alpha=\"0.12\", expect_size=\"24768512\"] \n  19 -> 27 [size =\"24768512\"]\n  19 -> 29 [size =\"24768512\"]\n  19 -> 30 [size =\"24768512\"]\n  19 -> 31 [size =\"24768512\"]\n  19 -> 38 [size =\"24768512\"]\n  20 [size=\"133430613\", alpha=\"0.14\", expect_size=\"40029184\"] \n  20 -> 29 [size =\"40029184\"]\n  20 -> 29 [size =\"40029184\"]\n  20 -> 31 [size =\"40029184\"]\n  20 -> 31 [size =\"40029184\"]\n  20 -> 37 [size =\"40029184\"]\n  21 [size=\"80855040\", alpha=\"0.15\", expect_size=\"24256512\"] \n  21 -> 30 [size =\"24256512\"]\n  21 -> 32 [size =\"24256512\"]\n  21 -> 33 [size =\"24256512\"]\n  21 -> 36 [size =\"24256512\"]\n  21 -> 37 [size =\"24256512\"]\n  22 [size=\"102563840\", alpha=\"0.07\", expect_size=\"30769152\"] \n  22 -> 32 [size =\"30769152\"]\n  22 -> 33 [size =\"30769152\"]\n  22 -> 37 [size =\"30769152\"]\n  22 -> 38 [size =\"30769152\"]\n  23 [size=\"125491200\", alpha=\"0.14\", expect_size=\"37647360\"] \n  23 -> 35 [size =\"37647360\"]\n  23 -> 36 [size =\"37647360\"]\n  23 -> 37 [size =\"37647360\"]\n  23 -> 38 [size =\"37647360\"]\n  24 [size=\"40048640\", alpha=\"0.17\", expect_size=\"12014592\"] \n  24 -> 26 [size =\"12014592\"]\n  24 -> 30 [size =\"12014592\"]\n  24 -> 37 [size =\"12014592\"]\n  24 -> 38 [size =\"12014592\"]\n  25 [size=\"77929813\", alpha=\"0.04\", expect_size=\"23378944\"] \n  25 -> 26 [size =\"23378944\"]\n  25 -> 30 [size =\"23378944\"]\n  26 [size=\"27856213\", alpha=\"0.05\", expect_size=\"8356864\"] \n  26 -> 40 [size =\"8356864\"]\n  26 -> 47 [size =\"8356864\"]\n  27 [size=\"61487787\", alpha=\"0.02\", expect_size=\"18446336\"] \n  27 -> 41 [size =\"18446336\"]\n  28 [size=\"55770453\", alpha=\"0.14\", expect_size=\"16731136\"] \n  28 -> 42 [size =\"16731136\"]\n  28 -> 47 [size =\"16731136\"]\n  28 -> 48 [size =\"16731136\"]\n  28 -> 50 [size =\"16731136\"]\n  29 [size=\"174336000\", alpha=\"0.09\", expect_size=\"52300800\"] \n  29 -> 42 [size =\"52300800\"]\n  29 -> 46 [size =\"52300800\"]\n  29 -> 47 [size =\"52300800\"]\n  29 -> 49 [size =\"52300800\"]\n  29 -> 50 [size =\"52300800\"]\n  30 [size=\"110363307\", alpha=\"0.14\", expect_size=\"33108992\"] \n  30 -> 42 [size =\"33108992\"]\n  30 -> 50 [size =\"33108992\"]\n  31 [size=\"60975787\", alpha=\"0.19\", expect_size=\"18292736\"] \n  31 -> 42 [size =\"18292736\"]\n  32 [size=\"19875840\", alpha=\"0.07\", expect_size=\"5962752\"] \n  32 -> 45 [size =\"5962752\"]\n  33 [size=\"71021227\", alpha=\"0.11\", expect_size=\"21306368\"] \n  33 -> 41 [size =\"21306368\"]\n  33 -> 43 [size =\"21306368\"]\n  34 [size=\"26552320\", alpha=\"0.14\", expect_size=\"7965696\"] \n  34 -> 46 [size =\"7965696\"]\n  35 [size=\"159457280\", alpha=\"0.08\", expect_size=\"47837184\"] \n  35 -> 40 [size =\"47837184\"]\n  35 -> 45 [size =\"47837184\"]\n  35 -> 46 [size =\"47837184\"]\n  36 [size=\"33266347\", alpha=\"0.07\", expect_size=\"9979904\"] \n  36 -> 40 [size =\"9979904\"]\n  36 -> 50 [size =\"9979904\"]\n  37 [size=\"73799680\", alpha=\"0.16\", expect_size=\"22139904\"] \n  37 -> 40 [size =\"22139904\"]\n  37 -> 43 [size =\"22139904\"]\n  37 -> 44 [size =\"22139904\"]\n  37 -> 45 [size =\"22139904\"]\n  37 -> 46 [size =\"22139904\"]\n  37 -> 47 [size =\"22139904\"]\n  38 [size=\"91067733\", alpha=\"0.19\", expect_size=\"27320320\"] \n  38 -> 39 [size =\"27320320\"]\n  38 -> 40 [size =\"27320320\"]\n  38 -> 43 [size =\"27320320\"]\n  38 -> 45 [size =\"27320320\"]\n  38 -> 48 [size =\"27320320\"]\n  39 [size=\"43322027\", alpha=\"0.10\", expect_size=\"12996608\"] \n  40 [size=\"115763200\", alpha=\"0.15\", expect_size=\"34728960\"] \n  41 [size=\"70956373\", alpha=\"0.09\", expect_size=\"21286912\"] \n  42 [size=\"62576640\", alpha=\"0.14\", expect_size=\"18772992\"] \n  43 [size=\"118978560\", alpha=\"0.12\", expect_size=\"35693568\"] \n  44 [size=\"47138133\", alpha=\"0.13\", expect_size=\"14141440\"] \n  45 [size=\"155890347\", alpha=\"0.02\", expect_size=\"46767104\"] \n  46 [size=\"59153067\", alpha=\"0.12\", expect_size=\"17745920\"] \n  47 [size=\"116408320\", alpha=\"0.08\", expect_size=\"34922496\"] \n  48 [size=\"85558613\", alpha=\"0.09\", expect_size=\"25667584\"] \n  49 [size=\"75847680\", alpha=\"0.09\", expect_size=\"22754304\"] \n  50 [size=\"152367787\", alpha=\"0.02\", expect_size=\"45710336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117880320\", alpha=\"0.14\", expect_size=\"47152128\"] \n  1 -> 30 [size =\"47152128\"]\n  1 -> 39 [size =\"47152128\"]\n  1 -> 41 [size =\"47152128\"]\n  1 -> 46 [size =\"47152128\"]\n  1 -> 49 [size =\"47152128\"]\n  1 -> 50 [size =\"47152128\"]\n  2 [size=\"81976320\", alpha=\"0.02\", expect_size=\"32790528\"] \n  2 -> 30 [size =\"32790528\"]\n  2 -> 31 [size =\"32790528\"]\n  2 -> 33 [size =\"32790528\"]\n  2 -> 34 [size =\"32790528\"]\n  2 -> 37 [size =\"32790528\"]\n  2 -> 46 [size =\"32790528\"]\n  2 -> 47 [size =\"32790528\"]\n  3 [size=\"121625600\", alpha=\"0.11\", expect_size=\"48650240\"] \n  3 -> 34 [size =\"48650240\"]\n  3 -> 37 [size =\"48650240\"]\n  3 -> 38 [size =\"48650240\"]\n  3 -> 40 [size =\"48650240\"]\n  3 -> 47 [size =\"48650240\"]\n  3 -> 49 [size =\"48650240\"]\n  4 [size=\"115875840\", alpha=\"0.03\", expect_size=\"46350336\"] \n  4 -> 33 [size =\"46350336\"]\n  4 -> 36 [size =\"46350336\"]\n  4 -> 37 [size =\"46350336\"]\n  5 [size=\"85990400\", alpha=\"0.19\", expect_size=\"34396160\"] \n  5 -> 29 [size =\"34396160\"]\n  5 -> 30 [size =\"34396160\"]\n  5 -> 31 [size =\"34396160\"]\n  5 -> 33 [size =\"34396160\"]\n  5 -> 35 [size =\"34396160\"]\n  5 -> 36 [size =\"34396160\"]\n  5 -> 39 [size =\"34396160\"]\n  5 -> 44 [size =\"34396160\"]\n  5 -> 46 [size =\"34396160\"]\n  5 -> 47 [size =\"34396160\"]\n  5 -> 48 [size =\"34396160\"]\n  5 -> 49 [size =\"34396160\"]\n  6 [size=\"101813760\", alpha=\"0.16\", expect_size=\"40725504\"] \n  6 -> 30 [size =\"40725504\"]\n  6 -> 37 [size =\"40725504\"]\n  6 -> 41 [size =\"40725504\"]\n  6 -> 49 [size =\"40725504\"]\n  7 [size=\"97937920\", alpha=\"0.11\", expect_size=\"39175168\"] \n  7 -> 29 [size =\"39175168\"]\n  7 -> 37 [size =\"39175168\"]\n  7 -> 45 [size =\"39175168\"]\n  8 [size=\"16417280\", alpha=\"0.19\", expect_size=\"6566912\"] \n  8 -> 29 [size =\"6566912\"]\n  8 -> 39 [size =\"6566912\"]\n  9 [size=\"46791680\", alpha=\"0.16\", expect_size=\"18716672\"] \n  9 -> 29 [size =\"18716672\"]\n  9 -> 31 [size =\"18716672\"]\n  9 -> 36 [size =\"18716672\"]\n  9 -> 37 [size =\"18716672\"]\n  9 -> 39 [size =\"18716672\"]\n  9 -> 40 [size =\"18716672\"]\n  9 -> 50 [size =\"18716672\"]\n  10 [size=\"120760320\", alpha=\"0.20\", expect_size=\"48304128\"] \n  10 -> 27 [size =\"48304128\"]\n  10 -> 29 [size =\"48304128\"]\n  10 -> 37 [size =\"48304128\"]\n  10 -> 37 [size =\"48304128\"]\n  10 -> 38 [size =\"48304128\"]\n  10 -> 40 [size =\"48304128\"]\n  10 -> 46 [size =\"48304128\"]\n  10 -> 50 [size =\"48304128\"]\n  11 [size=\"103083520\", alpha=\"0.11\", expect_size=\"41233408\"] \n  11 -> 30 [size =\"41233408\"]\n  11 -> 33 [size =\"41233408\"]\n  11 -> 37 [size =\"41233408\"]\n  11 -> 43 [size =\"41233408\"]\n  11 -> 49 [size =\"41233408\"]\n  12 [size=\"69795840\", alpha=\"0.12\", expect_size=\"27918336\"] \n  12 -> 27 [size =\"27918336\"]\n  12 -> 29 [size =\"27918336\"]\n  12 -> 31 [size =\"27918336\"]\n  12 -> 37 [size =\"27918336\"]\n  12 -> 39 [size =\"27918336\"]\n  12 -> 44 [size =\"27918336\"]\n  12 -> 46 [size =\"27918336\"]\n  12 -> 49 [size =\"27918336\"]\n  13 [size=\"83456000\", alpha=\"0.20\", expect_size=\"33382400\"] \n  13 -> 27 [size =\"33382400\"]\n  13 -> 28 [size =\"33382400\"]\n  13 -> 29 [size =\"33382400\"]\n  13 -> 30 [size =\"33382400\"]\n  13 -> 32 [size =\"33382400\"]\n  13 -> 39 [size =\"33382400\"]\n  13 -> 40 [size =\"33382400\"]\n  13 -> 44 [size =\"33382400\"]\n  13 -> 46 [size =\"33382400\"]\n  13 -> 50 [size =\"33382400\"]\n  14 [size=\"29061120\", alpha=\"0.19\", expect_size=\"11624448\"] \n  14 -> 27 [size =\"11624448\"]\n  14 -> 38 [size =\"11624448\"]\n  14 -> 39 [size =\"11624448\"]\n  14 -> 45 [size =\"11624448\"]\n  14 -> 49 [size =\"11624448\"]\n  15 [size=\"44316160\", alpha=\"0.12\", expect_size=\"17726464\"] \n  15 -> 27 [size =\"17726464\"]\n  15 -> 29 [size =\"17726464\"]\n  15 -> 32 [size =\"17726464\"]\n  15 -> 35 [size =\"17726464\"]\n  15 -> 38 [size =\"17726464\"]\n  15 -> 39 [size =\"17726464\"]\n  15 -> 40 [size =\"17726464\"]\n  15 -> 48 [size =\"17726464\"]\n  15 -> 49 [size =\"17726464\"]\n  16 [size=\"37301760\", alpha=\"0.08\", expect_size=\"14920704\"] \n  16 -> 35 [size =\"14920704\"]\n  16 -> 40 [size =\"14920704\"]\n  16 -> 44 [size =\"14920704\"]\n  16 -> 49 [size =\"14920704\"]\n  16 -> 50 [size =\"14920704\"]\n  17 [size=\"129589760\", alpha=\"0.09\", expect_size=\"51835904\"] \n  17 -> 32 [size =\"51835904\"]\n  17 -> 33 [size =\"51835904\"]\n  17 -> 42 [size =\"51835904\"]\n  17 -> 50 [size =\"51835904\"]\n  18 [size=\"76533760\", alpha=\"0.05\", expect_size=\"30613504\"] \n  18 -> 27 [size =\"30613504\"]\n  18 -> 29 [size =\"30613504\"]\n  18 -> 44 [size =\"30613504\"]\n  18 -> 47 [size =\"30613504\"]\n  19 [size=\"69358080\", alpha=\"0.12\", expect_size=\"27743232\"] \n  19 -> 29 [size =\"27743232\"]\n  19 -> 30 [size =\"27743232\"]\n  19 -> 43 [size =\"27743232\"]\n  19 -> 46 [size =\"27743232\"]\n  19 -> 49 [size =\"27743232\"]\n  20 [size=\"47052800\", alpha=\"0.13\", expect_size=\"18821120\"] \n  20 -> 27 [size =\"18821120\"]\n  20 -> 29 [size =\"18821120\"]\n  20 -> 33 [size =\"18821120\"]\n  21 [size=\"45877760\", alpha=\"0.12\", expect_size=\"18351104\"] \n  21 -> 33 [size =\"18351104\"]\n  21 -> 39 [size =\"18351104\"]\n  21 -> 50 [size =\"18351104\"]\n  22 [size=\"113702400\", alpha=\"0.03\", expect_size=\"45480960\"] \n  22 -> 28 [size =\"45480960\"]\n  22 -> 32 [size =\"45480960\"]\n  22 -> 38 [size =\"45480960\"]\n  22 -> 46 [size =\"45480960\"]\n  22 -> 49 [size =\"45480960\"]\n  23 [size=\"65740800\", alpha=\"0.12\", expect_size=\"26296320\"] \n  23 -> 27 [size =\"26296320\"]\n  23 -> 30 [size =\"26296320\"]\n  23 -> 32 [size =\"26296320\"]\n  23 -> 49 [size =\"26296320\"]\n  24 [size=\"64215040\", alpha=\"0.18\", expect_size=\"25686016\"] \n  24 -> 28 [size =\"25686016\"]\n  24 -> 33 [size =\"25686016\"]\n  24 -> 36 [size =\"25686016\"]\n  24 -> 44 [size =\"25686016\"]\n  25 [size=\"58941440\", alpha=\"0.17\", expect_size=\"23576576\"] \n  25 -> 27 [size =\"23576576\"]\n  25 -> 30 [size =\"23576576\"]\n  25 -> 50 [size =\"23576576\"]\n  26 [size=\"129461760\", alpha=\"0.11\", expect_size=\"51784704\"] \n  26 -> 27 [size =\"51784704\"]\n  26 -> 30 [size =\"51784704\"]\n  26 -> 31 [size =\"51784704\"]\n  27 [size=\"60193280\", alpha=\"0.19\", expect_size=\"24077312\"] \n  28 [size=\"114680320\", alpha=\"0.08\", expect_size=\"45872128\"] \n  29 [size=\"26984960\", alpha=\"0.02\", expect_size=\"10793984\"] \n  30 [size=\"96814080\", alpha=\"0.15\", expect_size=\"38725632\"] \n  31 [size=\"55731200\", alpha=\"0.03\", expect_size=\"22292480\"] \n  32 [size=\"126474240\", alpha=\"0.01\", expect_size=\"50589696\"] \n  33 [size=\"24017920\", alpha=\"0.10\", expect_size=\"9607168\"] \n  34 [size=\"92810240\", alpha=\"0.03\", expect_size=\"37124096\"] \n  35 [size=\"81730560\", alpha=\"0.00\", expect_size=\"32692224\"] \n  36 [size=\"63662080\", alpha=\"0.02\", expect_size=\"25464832\"] \n  37 [size=\"127313920\", alpha=\"0.03\", expect_size=\"50925568\"] \n  38 [size=\"121587200\", alpha=\"0.15\", expect_size=\"48634880\"] \n  39 [size=\"49797120\", alpha=\"0.17\", expect_size=\"19918848\"] \n  40 [size=\"63590400\", alpha=\"0.04\", expect_size=\"25436160\"] \n  41 [size=\"34693120\", alpha=\"0.17\", expect_size=\"13877248\"] \n  42 [size=\"53084160\", alpha=\"0.08\", expect_size=\"21233664\"] \n  43 [size=\"57484800\", alpha=\"0.07\", expect_size=\"22993920\"] \n  44 [size=\"118246400\", alpha=\"0.14\", expect_size=\"47298560\"] \n  45 [size=\"15398400\", alpha=\"0.10\", expect_size=\"6159360\"] \n  46 [size=\"16074240\", alpha=\"0.05\", expect_size=\"6429696\"] \n  47 [size=\"26511360\", alpha=\"0.08\", expect_size=\"10604544\"] \n  48 [size=\"45227520\", alpha=\"0.08\", expect_size=\"18091008\"] \n  49 [size=\"17681920\", alpha=\"0.11\", expect_size=\"7072768\"] \n  50 [size=\"118095360\", alpha=\"0.08\", expect_size=\"47238144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.220.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85744640\", alpha=\"0.16\", expect_size=\"34297856\"] \n  1 -> 10 [size =\"34297856\"]\n  1 -> 11 [size =\"34297856\"]\n  1 -> 12 [size =\"34297856\"]\n  2 [size=\"87577600\", alpha=\"0.17\", expect_size=\"35031040\"] \n  2 -> 10 [size =\"35031040\"]\n  2 -> 11 [size =\"35031040\"]\n  2 -> 12 [size =\"35031040\"]\n  3 [size=\"44149760\", alpha=\"0.12\", expect_size=\"17659904\"] \n  3 -> 8 [size =\"17659904\"]\n  3 -> 9 [size =\"17659904\"]\n  4 [size=\"126883840\", alpha=\"0.01\", expect_size=\"50753536\"] \n  4 -> 10 [size =\"50753536\"]\n  4 -> 11 [size =\"50753536\"]\n  5 [size=\"33308160\", alpha=\"0.14\", expect_size=\"13323264\"] \n  5 -> 10 [size =\"13323264\"]\n  6 [size=\"70369280\", alpha=\"0.04\", expect_size=\"28147712\"] \n  6 -> 9 [size =\"28147712\"]\n  6 -> 11 [size =\"28147712\"]\n  7 [size=\"36930560\", alpha=\"0.07\", expect_size=\"14772224\"] \n  7 -> 9 [size =\"14772224\"]\n  8 [size=\"126120960\", alpha=\"0.18\", expect_size=\"50448384\"] \n  8 -> 13 [size =\"50448384\"]\n  8 -> 14 [size =\"50448384\"]\n  8 -> 19 [size =\"50448384\"]\n  8 -> 20 [size =\"50448384\"]\n  9 [size=\"17344000\", alpha=\"0.10\", expect_size=\"6937600\"] \n  9 -> 15 [size =\"6937600\"]\n  9 -> 18 [size =\"6937600\"]\n  10 [size=\"55825920\", alpha=\"0.09\", expect_size=\"22330368\"] \n  10 -> 15 [size =\"22330368\"]\n  10 -> 17 [size =\"22330368\"]\n  11 [size=\"129172480\", alpha=\"0.04\", expect_size=\"51668992\"] \n  11 -> 19 [size =\"51668992\"]\n  12 [size=\"108185600\", alpha=\"0.04\", expect_size=\"43274240\"] \n  12 -> 16 [size =\"43274240\"]\n  12 -> 18 [size =\"43274240\"]\n  13 [size=\"88872960\", alpha=\"0.04\", expect_size=\"35549184\"] \n  13 -> 21 [size =\"35549184\"]\n  14 [size=\"39902720\", alpha=\"0.16\", expect_size=\"15961088\"] \n  14 -> 22 [size =\"15961088\"]\n  15 [size=\"43092480\", alpha=\"0.12\", expect_size=\"17236992\"] \n  15 -> 23 [size =\"17236992\"]\n  15 -> 24 [size =\"17236992\"]\n  15 -> 25 [size =\"17236992\"]\n  15 -> 27 [size =\"17236992\"]\n  16 [size=\"124851200\", alpha=\"0.15\", expect_size=\"49940480\"] \n  16 -> 25 [size =\"49940480\"]\n  17 [size=\"29022720\", alpha=\"0.17\", expect_size=\"11609088\"] \n  18 [size=\"71009280\", alpha=\"0.08\", expect_size=\"28403712\"] \n  18 -> 21 [size =\"28403712\"]\n  19 [size=\"57356800\", alpha=\"0.18\", expect_size=\"22942720\"] \n  19 -> 21 [size =\"22942720\"]\n  19 -> 22 [size =\"22942720\"]\n  19 -> 24 [size =\"22942720\"]\n  19 -> 26 [size =\"22942720\"]\n  20 [size=\"117442560\", alpha=\"0.16\", expect_size=\"46977024\"] \n  20 -> 21 [size =\"46977024\"]\n  20 -> 25 [size =\"46977024\"]\n  21 [size=\"50508800\", alpha=\"0.07\", expect_size=\"20203520\"] \n  21 -> 28 [size =\"20203520\"]\n  21 -> 30 [size =\"20203520\"]\n  21 -> 32 [size =\"20203520\"]\n  22 [size=\"73139200\", alpha=\"0.10\", expect_size=\"29255680\"] \n  22 -> 31 [size =\"29255680\"]\n  22 -> 32 [size =\"29255680\"]\n  23 [size=\"94615040\", alpha=\"0.18\", expect_size=\"37846016\"] \n  23 -> 33 [size =\"37846016\"]\n  24 [size=\"115778560\", alpha=\"0.05\", expect_size=\"46311424\"] \n  24 -> 28 [size =\"46311424\"]\n  24 -> 30 [size =\"46311424\"]\n  25 [size=\"92354560\", alpha=\"0.16\", expect_size=\"36941824\"] \n  25 -> 28 [size =\"36941824\"]\n  25 -> 29 [size =\"36941824\"]\n  25 -> 30 [size =\"36941824\"]\n  25 -> 31 [size =\"36941824\"]\n  25 -> 33 [size =\"36941824\"]\n  26 [size=\"42769920\", alpha=\"0.17\", expect_size=\"17107968\"] \n  26 -> 29 [size =\"17107968\"]\n  27 [size=\"15165440\", alpha=\"0.02\", expect_size=\"6066176\"] \n  27 -> 32 [size =\"6066176\"]\n  28 [size=\"117583360\", alpha=\"0.06\", expect_size=\"47033344\"] \n  28 -> 35 [size =\"47033344\"]\n  28 -> 38 [size =\"47033344\"]\n  28 -> 39 [size =\"47033344\"]\n  29 [size=\"48445440\", alpha=\"0.10\", expect_size=\"19378176\"] \n  29 -> 36 [size =\"19378176\"]\n  29 -> 37 [size =\"19378176\"]\n  30 [size=\"37255680\", alpha=\"0.02\", expect_size=\"14902272\"] \n  30 -> 37 [size =\"14902272\"]\n  31 [size=\"14581760\", alpha=\"0.14\", expect_size=\"5832704\"] \n  31 -> 34 [size =\"5832704\"]\n  31 -> 35 [size =\"5832704\"]\n  31 -> 37 [size =\"5832704\"]\n  32 [size=\"53063680\", alpha=\"0.01\", expect_size=\"21225472\"] \n  32 -> 34 [size =\"21225472\"]\n  32 -> 38 [size =\"21225472\"]\n  32 -> 39 [size =\"21225472\"]\n  33 [size=\"109209600\", alpha=\"0.02\", expect_size=\"43683840\"] \n  33 -> 35 [size =\"43683840\"]\n  33 -> 38 [size =\"43683840\"]\n  34 [size=\"96099840\", alpha=\"0.07\", expect_size=\"38439936\"] \n  34 -> 41 [size =\"38439936\"]\n  34 -> 43 [size =\"38439936\"]\n  34 -> 44 [size =\"38439936\"]\n  34 -> 46 [size =\"38439936\"]\n  35 [size=\"127508480\", alpha=\"0.17\", expect_size=\"51003392\"] \n  35 -> 41 [size =\"51003392\"]\n  36 [size=\"105679360\", alpha=\"0.06\", expect_size=\"42271744\"] \n  36 -> 40 [size =\"42271744\"]\n  36 -> 43 [size =\"42271744\"]\n  37 [size=\"87866880\", alpha=\"0.18\", expect_size=\"35146752\"] \n  37 -> 42 [size =\"35146752\"]\n  37 -> 43 [size =\"35146752\"]\n  38 [size=\"97902080\", alpha=\"0.19\", expect_size=\"39160832\"] \n  38 -> 44 [size =\"39160832\"]\n  38 -> 45 [size =\"39160832\"]\n  38 -> 47 [size =\"39160832\"]\n  39 [size=\"130831360\", alpha=\"0.08\", expect_size=\"52332544\"] \n  39 -> 44 [size =\"52332544\"]\n  39 -> 45 [size =\"52332544\"]\n  39 -> 46 [size =\"52332544\"]\n  40 [size=\"72929280\", alpha=\"0.15\", expect_size=\"29171712\"] \n  41 [size=\"84881920\", alpha=\"0.08\", expect_size=\"33952768\"] \n  42 [size=\"46824960\", alpha=\"0.11\", expect_size=\"18729984\"] \n  42 -> 49 [size =\"18729984\"]\n  43 [size=\"53839360\", alpha=\"0.09\", expect_size=\"21535744\"] \n  44 [size=\"63726080\", alpha=\"0.03\", expect_size=\"25490432\"] \n  45 [size=\"103285760\", alpha=\"0.11\", expect_size=\"41314304\"] \n  45 -> 49 [size =\"41314304\"]\n  45 -> 50 [size =\"41314304\"]\n  46 [size=\"84538880\", alpha=\"0.04\", expect_size=\"33815552\"] \n  46 -> 48 [size =\"33815552\"]\n  46 -> 49 [size =\"33815552\"]\n  46 -> 50 [size =\"33815552\"]\n  47 [size=\"119226880\", alpha=\"0.17\", expect_size=\"47690752\"] \n  47 -> 49 [size =\"47690752\"]\n  47 -> 50 [size =\"47690752\"]\n  47 -> 50 [size =\"47690752\"]\n  48 [size=\"105303040\", alpha=\"0.08\", expect_size=\"42121216\"] \n  49 [size=\"100669440\", alpha=\"0.05\", expect_size=\"40267776\"] \n  50 [size=\"31613440\", alpha=\"0.07\", expect_size=\"12645376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.221.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47974400\", alpha=\"0.03\", expect_size=\"14392320\"] \n  1 -> 14 [size =\"14392320\"]\n  1 -> 15 [size =\"14392320\"]\n  1 -> 16 [size =\"14392320\"]\n  1 -> 17 [size =\"14392320\"]\n  1 -> 19 [size =\"14392320\"]\n  1 -> 20 [size =\"14392320\"]\n  1 -> 21 [size =\"14392320\"]\n  1 -> 23 [size =\"14392320\"]\n  1 -> 24 [size =\"14392320\"]\n  1 -> 27 [size =\"14392320\"]\n  1 -> 28 [size =\"14392320\"]\n  2 [size=\"129382400\", alpha=\"0.09\", expect_size=\"38814720\"] \n  2 -> 13 [size =\"38814720\"]\n  2 -> 17 [size =\"38814720\"]\n  2 -> 18 [size =\"38814720\"]\n  2 -> 19 [size =\"38814720\"]\n  2 -> 20 [size =\"38814720\"]\n  2 -> 21 [size =\"38814720\"]\n  2 -> 21 [size =\"38814720\"]\n  2 -> 22 [size =\"38814720\"]\n  2 -> 23 [size =\"38814720\"]\n  2 -> 24 [size =\"38814720\"]\n  2 -> 25 [size =\"38814720\"]\n  2 -> 26 [size =\"38814720\"]\n  2 -> 27 [size =\"38814720\"]\n  2 -> 28 [size =\"38814720\"]\n  2 -> 30 [size =\"38814720\"]\n  3 [size=\"149715627\", alpha=\"0.06\", expect_size=\"44914688\"] \n  3 -> 19 [size =\"44914688\"]\n  3 -> 20 [size =\"44914688\"]\n  3 -> 21 [size =\"44914688\"]\n  3 -> 22 [size =\"44914688\"]\n  3 -> 24 [size =\"44914688\"]\n  3 -> 26 [size =\"44914688\"]\n  3 -> 28 [size =\"44914688\"]\n  3 -> 29 [size =\"44914688\"]\n  3 -> 30 [size =\"44914688\"]\n  4 [size=\"165280427\", alpha=\"0.08\", expect_size=\"49584128\"] \n  4 -> 13 [size =\"49584128\"]\n  4 -> 16 [size =\"49584128\"]\n  4 -> 19 [size =\"49584128\"]\n  4 -> 20 [size =\"49584128\"]\n  4 -> 21 [size =\"49584128\"]\n  4 -> 22 [size =\"49584128\"]\n  4 -> 23 [size =\"49584128\"]\n  4 -> 24 [size =\"49584128\"]\n  4 -> 27 [size =\"49584128\"]\n  4 -> 28 [size =\"49584128\"]\n  4 -> 29 [size =\"49584128\"]\n  4 -> 30 [size =\"49584128\"]\n  5 [size=\"87968427\", alpha=\"0.10\", expect_size=\"26390528\"] \n  5 -> 13 [size =\"26390528\"]\n  5 -> 14 [size =\"26390528\"]\n  5 -> 15 [size =\"26390528\"]\n  5 -> 16 [size =\"26390528\"]\n  5 -> 21 [size =\"26390528\"]\n  5 -> 22 [size =\"26390528\"]\n  5 -> 23 [size =\"26390528\"]\n  5 -> 27 [size =\"26390528\"]\n  5 -> 28 [size =\"26390528\"]\n  6 [size=\"72700587\", alpha=\"0.08\", expect_size=\"21810176\"] \n  6 -> 14 [size =\"21810176\"]\n  6 -> 21 [size =\"21810176\"]\n  6 -> 24 [size =\"21810176\"]\n  6 -> 27 [size =\"21810176\"]\n  6 -> 28 [size =\"21810176\"]\n  7 [size=\"33129813\", alpha=\"0.13\", expect_size=\"9938944\"] \n  7 -> 14 [size =\"9938944\"]\n  7 -> 15 [size =\"9938944\"]\n  7 -> 16 [size =\"9938944\"]\n  7 -> 18 [size =\"9938944\"]\n  7 -> 19 [size =\"9938944\"]\n  7 -> 20 [size =\"9938944\"]\n  7 -> 21 [size =\"9938944\"]\n  7 -> 22 [size =\"9938944\"]\n  7 -> 23 [size =\"9938944\"]\n  7 -> 24 [size =\"9938944\"]\n  7 -> 27 [size =\"9938944\"]\n  7 -> 28 [size =\"9938944\"]\n  7 -> 30 [size =\"9938944\"]\n  8 [size=\"119336960\", alpha=\"0.20\", expect_size=\"35801088\"] \n  8 -> 16 [size =\"35801088\"]\n  8 -> 18 [size =\"35801088\"]\n  8 -> 19 [size =\"35801088\"]\n  8 -> 20 [size =\"35801088\"]\n  8 -> 21 [size =\"35801088\"]\n  8 -> 22 [size =\"35801088\"]\n  8 -> 23 [size =\"35801088\"]\n  8 -> 24 [size =\"35801088\"]\n  8 -> 27 [size =\"35801088\"]\n  8 -> 28 [size =\"35801088\"]\n  8 -> 29 [size =\"35801088\"]\n  9 [size=\"102881280\", alpha=\"0.06\", expect_size=\"30864384\"] \n  9 -> 14 [size =\"30864384\"]\n  9 -> 15 [size =\"30864384\"]\n  9 -> 16 [size =\"30864384\"]\n  9 -> 18 [size =\"30864384\"]\n  9 -> 19 [size =\"30864384\"]\n  9 -> 20 [size =\"30864384\"]\n  9 -> 22 [size =\"30864384\"]\n  9 -> 24 [size =\"30864384\"]\n  9 -> 25 [size =\"30864384\"]\n  9 -> 27 [size =\"30864384\"]\n  9 -> 28 [size =\"30864384\"]\n  9 -> 29 [size =\"30864384\"]\n  10 [size=\"141550933\", alpha=\"0.17\", expect_size=\"42465280\"] \n  10 -> 19 [size =\"42465280\"]\n  10 -> 20 [size =\"42465280\"]\n  10 -> 22 [size =\"42465280\"]\n  10 -> 24 [size =\"42465280\"]\n  10 -> 27 [size =\"42465280\"]\n  10 -> 28 [size =\"42465280\"]\n  10 -> 29 [size =\"42465280\"]\n  10 -> 30 [size =\"42465280\"]\n  11 [size=\"26146133\", alpha=\"0.14\", expect_size=\"7843840\"] \n  11 -> 14 [size =\"7843840\"]\n  11 -> 19 [size =\"7843840\"]\n  11 -> 20 [size =\"7843840\"]\n  11 -> 21 [size =\"7843840\"]\n  11 -> 23 [size =\"7843840\"]\n  11 -> 24 [size =\"7843840\"]\n  11 -> 28 [size =\"7843840\"]\n  11 -> 29 [size =\"7843840\"]\n  11 -> 30 [size =\"7843840\"]\n  12 [size=\"49175893\", alpha=\"0.08\", expect_size=\"14752768\"] \n  12 -> 16 [size =\"14752768\"]\n  12 -> 19 [size =\"14752768\"]\n  12 -> 20 [size =\"14752768\"]\n  12 -> 21 [size =\"14752768\"]\n  12 -> 23 [size =\"14752768\"]\n  12 -> 24 [size =\"14752768\"]\n  12 -> 30 [size =\"14752768\"]\n  13 [size=\"116804267\", alpha=\"0.17\", expect_size=\"35041280\"] \n  13 -> 32 [size =\"35041280\"]\n  13 -> 33 [size =\"35041280\"]\n  13 -> 36 [size =\"35041280\"]\n  13 -> 37 [size =\"35041280\"]\n  13 -> 38 [size =\"35041280\"]\n  13 -> 40 [size =\"35041280\"]\n  13 -> 41 [size =\"35041280\"]\n  13 -> 42 [size =\"35041280\"]\n  13 -> 44 [size =\"35041280\"]\n  13 -> 45 [size =\"35041280\"]\n  14 [size=\"163116373\", alpha=\"0.02\", expect_size=\"48934912\"] \n  14 -> 32 [size =\"48934912\"]\n  14 -> 33 [size =\"48934912\"]\n  14 -> 35 [size =\"48934912\"]\n  14 -> 36 [size =\"48934912\"]\n  14 -> 37 [size =\"48934912\"]\n  14 -> 40 [size =\"48934912\"]\n  14 -> 41 [size =\"48934912\"]\n  14 -> 42 [size =\"48934912\"]\n  14 -> 43 [size =\"48934912\"]\n  14 -> 44 [size =\"48934912\"]\n  14 -> 45 [size =\"48934912\"]\n  15 [size=\"71649280\", alpha=\"0.02\", expect_size=\"21494784\"] \n  15 -> 31 [size =\"21494784\"]\n  15 -> 32 [size =\"21494784\"]\n  15 -> 33 [size =\"21494784\"]\n  15 -> 36 [size =\"21494784\"]\n  15 -> 37 [size =\"21494784\"]\n  15 -> 40 [size =\"21494784\"]\n  15 -> 44 [size =\"21494784\"]\n  15 -> 45 [size =\"21494784\"]\n  16 [size=\"151971840\", alpha=\"0.18\", expect_size=\"45591552\"] \n  16 -> 33 [size =\"45591552\"]\n  16 -> 35 [size =\"45591552\"]\n  16 -> 36 [size =\"45591552\"]\n  16 -> 36 [size =\"45591552\"]\n  16 -> 37 [size =\"45591552\"]\n  16 -> 38 [size =\"45591552\"]\n  16 -> 40 [size =\"45591552\"]\n  16 -> 41 [size =\"45591552\"]\n  16 -> 42 [size =\"45591552\"]\n  16 -> 44 [size =\"45591552\"]\n  16 -> 45 [size =\"45591552\"]\n  17 [size=\"55910400\", alpha=\"0.13\", expect_size=\"16773120\"] \n  17 -> 32 [size =\"16773120\"]\n  17 -> 33 [size =\"16773120\"]\n  17 -> 37 [size =\"16773120\"]\n  17 -> 38 [size =\"16773120\"]\n  17 -> 39 [size =\"16773120\"]\n  17 -> 40 [size =\"16773120\"]\n  17 -> 41 [size =\"16773120\"]\n  17 -> 44 [size =\"16773120\"]\n  18 [size=\"157890560\", alpha=\"0.15\", expect_size=\"47367168\"] \n  18 -> 31 [size =\"47367168\"]\n  18 -> 32 [size =\"47367168\"]\n  18 -> 33 [size =\"47367168\"]\n  18 -> 35 [size =\"47367168\"]\n  18 -> 36 [size =\"47367168\"]\n  18 -> 38 [size =\"47367168\"]\n  18 -> 42 [size =\"47367168\"]\n  18 -> 44 [size =\"47367168\"]\n  19 [size=\"157313707\", alpha=\"0.07\", expect_size=\"47194112\"] \n  19 -> 31 [size =\"47194112\"]\n  19 -> 32 [size =\"47194112\"]\n  19 -> 33 [size =\"47194112\"]\n  19 -> 34 [size =\"47194112\"]\n  19 -> 36 [size =\"47194112\"]\n  19 -> 38 [size =\"47194112\"]\n  19 -> 40 [size =\"47194112\"]\n  19 -> 41 [size =\"47194112\"]\n  19 -> 42 [size =\"47194112\"]\n  19 -> 44 [size =\"47194112\"]\n  20 [size=\"44243627\", alpha=\"0.17\", expect_size=\"13273088\"] \n  20 -> 33 [size =\"13273088\"]\n  20 -> 34 [size =\"13273088\"]\n  20 -> 35 [size =\"13273088\"]\n  20 -> 37 [size =\"13273088\"]\n  20 -> 44 [size =\"13273088\"]\n  21 [size=\"17810773\", alpha=\"0.10\", expect_size=\"5343232\"] \n  21 -> 32 [size =\"5343232\"]\n  21 -> 33 [size =\"5343232\"]\n  21 -> 34 [size =\"5343232\"]\n  21 -> 35 [size =\"5343232\"]\n  21 -> 36 [size =\"5343232\"]\n  21 -> 37 [size =\"5343232\"]\n  21 -> 41 [size =\"5343232\"]\n  21 -> 44 [size =\"5343232\"]\n  22 [size=\"125556053\", alpha=\"0.18\", expect_size=\"37666816\"] \n  22 -> 31 [size =\"37666816\"]\n  22 -> 32 [size =\"37666816\"]\n  22 -> 33 [size =\"37666816\"]\n  22 -> 34 [size =\"37666816\"]\n  22 -> 35 [size =\"37666816\"]\n  22 -> 36 [size =\"37666816\"]\n  22 -> 37 [size =\"37666816\"]\n  22 -> 38 [size =\"37666816\"]\n  22 -> 40 [size =\"37666816\"]\n  22 -> 41 [size =\"37666816\"]\n  22 -> 42 [size =\"37666816\"]\n  22 -> 44 [size =\"37666816\"]\n  22 -> 45 [size =\"37666816\"]\n  23 [size=\"33010347\", alpha=\"0.03\", expect_size=\"9903104\"] \n  23 -> 32 [size =\"9903104\"]\n  23 -> 32 [size =\"9903104\"]\n  23 -> 33 [size =\"9903104\"]\n  23 -> 34 [size =\"9903104\"]\n  23 -> 35 [size =\"9903104\"]\n  23 -> 39 [size =\"9903104\"]\n  23 -> 41 [size =\"9903104\"]\n  23 -> 42 [size =\"9903104\"]\n  23 -> 44 [size =\"9903104\"]\n  24 [size=\"169291093\", alpha=\"0.06\", expect_size=\"50787328\"] \n  24 -> 32 [size =\"50787328\"]\n  24 -> 33 [size =\"50787328\"]\n  24 -> 34 [size =\"50787328\"]\n  24 -> 34 [size =\"50787328\"]\n  24 -> 35 [size =\"50787328\"]\n  24 -> 36 [size =\"50787328\"]\n  24 -> 38 [size =\"50787328\"]\n  24 -> 40 [size =\"50787328\"]\n  24 -> 41 [size =\"50787328\"]\n  24 -> 42 [size =\"50787328\"]\n  25 [size=\"29672107\", alpha=\"0.19\", expect_size=\"8901632\"] \n  25 -> 32 [size =\"8901632\"]\n  25 -> 34 [size =\"8901632\"]\n  25 -> 35 [size =\"8901632\"]\n  25 -> 36 [size =\"8901632\"]\n  25 -> 38 [size =\"8901632\"]\n  25 -> 41 [size =\"8901632\"]\n  25 -> 42 [size =\"8901632\"]\n  25 -> 43 [size =\"8901632\"]\n  25 -> 44 [size =\"8901632\"]\n  25 -> 45 [size =\"8901632\"]\n  26 [size=\"46134613\", alpha=\"0.18\", expect_size=\"13840384\"] \n  26 -> 31 [size =\"13840384\"]\n  26 -> 32 [size =\"13840384\"]\n  26 -> 34 [size =\"13840384\"]\n  26 -> 35 [size =\"13840384\"]\n  26 -> 36 [size =\"13840384\"]\n  26 -> 38 [size =\"13840384\"]\n  26 -> 40 [size =\"13840384\"]\n  26 -> 41 [size =\"13840384\"]\n  26 -> 42 [size =\"13840384\"]\n  26 -> 43 [size =\"13840384\"]\n  26 -> 45 [size =\"13840384\"]\n  27 [size=\"33505280\", alpha=\"0.20\", expect_size=\"10051584\"] \n  27 -> 31 [size =\"10051584\"]\n  27 -> 32 [size =\"10051584\"]\n  27 -> 34 [size =\"10051584\"]\n  27 -> 36 [size =\"10051584\"]\n  27 -> 38 [size =\"10051584\"]\n  27 -> 41 [size =\"10051584\"]\n  27 -> 42 [size =\"10051584\"]\n  27 -> 43 [size =\"10051584\"]\n  27 -> 44 [size =\"10051584\"]\n  27 -> 45 [size =\"10051584\"]\n  28 [size=\"135130453\", alpha=\"0.14\", expect_size=\"40539136\"] \n  28 -> 31 [size =\"40539136\"]\n  28 -> 32 [size =\"40539136\"]\n  28 -> 33 [size =\"40539136\"]\n  28 -> 34 [size =\"40539136\"]\n  28 -> 37 [size =\"40539136\"]\n  28 -> 44 [size =\"40539136\"]\n  28 -> 45 [size =\"40539136\"]\n  29 [size=\"98324480\", alpha=\"0.19\", expect_size=\"29497344\"] \n  29 -> 31 [size =\"29497344\"]\n  29 -> 32 [size =\"29497344\"]\n  29 -> 33 [size =\"29497344\"]\n  29 -> 34 [size =\"29497344\"]\n  29 -> 36 [size =\"29497344\"]\n  29 -> 37 [size =\"29497344\"]\n  29 -> 38 [size =\"29497344\"]\n  29 -> 40 [size =\"29497344\"]\n  29 -> 41 [size =\"29497344\"]\n  29 -> 44 [size =\"29497344\"]\n  29 -> 45 [size =\"29497344\"]\n  30 [size=\"153340587\", alpha=\"0.00\", expect_size=\"46002176\"] \n  30 -> 31 [size =\"46002176\"]\n  30 -> 32 [size =\"46002176\"]\n  30 -> 33 [size =\"46002176\"]\n  30 -> 34 [size =\"46002176\"]\n  30 -> 35 [size =\"46002176\"]\n  30 -> 36 [size =\"46002176\"]\n  30 -> 37 [size =\"46002176\"]\n  30 -> 40 [size =\"46002176\"]\n  30 -> 41 [size =\"46002176\"]\n  30 -> 43 [size =\"46002176\"]\n  30 -> 44 [size =\"46002176\"]\n  30 -> 45 [size =\"46002176\"]\n  31 [size=\"127737173\", alpha=\"0.03\", expect_size=\"38321152\"] \n  31 -> 48 [size =\"38321152\"]\n  31 -> 49 [size =\"38321152\"]\n  32 [size=\"52012373\", alpha=\"0.09\", expect_size=\"15603712\"] \n  33 [size=\"38072320\", alpha=\"0.07\", expect_size=\"11421696\"] \n  33 -> 48 [size =\"11421696\"]\n  33 -> 50 [size =\"11421696\"]\n  34 [size=\"60876800\", alpha=\"0.05\", expect_size=\"18263040\"] \n  34 -> 46 [size =\"18263040\"]\n  34 -> 48 [size =\"18263040\"]\n  34 -> 49 [size =\"18263040\"]\n  35 [size=\"110940160\", alpha=\"0.09\", expect_size=\"33282048\"] \n  35 -> 46 [size =\"33282048\"]\n  35 -> 48 [size =\"33282048\"]\n  35 -> 49 [size =\"33282048\"]\n  36 [size=\"101471573\", alpha=\"0.10\", expect_size=\"30441472\"] \n  36 -> 46 [size =\"30441472\"]\n  36 -> 48 [size =\"30441472\"]\n  37 [size=\"87702187\", alpha=\"0.16\", expect_size=\"26310656\"] \n  37 -> 47 [size =\"26310656\"]\n  37 -> 48 [size =\"26310656\"]\n  37 -> 49 [size =\"26310656\"]\n  38 [size=\"85282133\", alpha=\"0.01\", expect_size=\"25584640\"] \n  39 [size=\"38785707\", alpha=\"0.02\", expect_size=\"11635712\"] \n  39 -> 49 [size =\"11635712\"]\n  40 [size=\"33628160\", alpha=\"0.08\", expect_size=\"10088448\"] \n  40 -> 47 [size =\"10088448\"]\n  40 -> 48 [size =\"10088448\"]\n  40 -> 50 [size =\"10088448\"]\n  41 [size=\"36597760\", alpha=\"0.13\", expect_size=\"10979328\"] \n  41 -> 46 [size =\"10979328\"]\n  41 -> 47 [size =\"10979328\"]\n  42 [size=\"56360960\", alpha=\"0.12\", expect_size=\"16908288\"] \n  42 -> 48 [size =\"16908288\"]\n  42 -> 49 [size =\"16908288\"]\n  42 -> 50 [size =\"16908288\"]\n  43 [size=\"124624213\", alpha=\"0.13\", expect_size=\"37387264\"] \n  43 -> 47 [size =\"37387264\"]\n  43 -> 48 [size =\"37387264\"]\n  43 -> 49 [size =\"37387264\"]\n  43 -> 50 [size =\"37387264\"]\n  44 [size=\"26142720\", alpha=\"0.13\", expect_size=\"7842816\"] \n  44 -> 48 [size =\"7842816\"]\n  44 -> 48 [size =\"7842816\"]\n  44 -> 49 [size =\"7842816\"]\n  45 [size=\"63839573\", alpha=\"0.15\", expect_size=\"19151872\"] \n  45 -> 49 [size =\"19151872\"]\n  46 [size=\"134604800\", alpha=\"0.01\", expect_size=\"40381440\"] \n  47 [size=\"58364587\", alpha=\"0.08\", expect_size=\"17509376\"] \n  48 [size=\"30839467\", alpha=\"0.11\", expect_size=\"9251840\"] \n  49 [size=\"35157333\", alpha=\"0.03\", expect_size=\"10547200\"] \n  50 [size=\"53872640\", alpha=\"0.13\", expect_size=\"16161792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.222.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112465920\", alpha=\"0.17\", expect_size=\"44986368\"] \n  1 -> 10 [size =\"44986368\"]\n  1 -> 11 [size =\"44986368\"]\n  1 -> 13 [size =\"44986368\"]\n  2 [size=\"46658560\", alpha=\"0.01\", expect_size=\"18663424\"] \n  2 -> 11 [size =\"18663424\"]\n  2 -> 13 [size =\"18663424\"]\n  2 -> 14 [size =\"18663424\"]\n  2 -> 15 [size =\"18663424\"]\n  3 [size=\"40983040\", alpha=\"0.06\", expect_size=\"16393216\"] \n  3 -> 9 [size =\"16393216\"]\n  3 -> 10 [size =\"16393216\"]\n  3 -> 12 [size =\"16393216\"]\n  4 [size=\"75599360\", alpha=\"0.14\", expect_size=\"30239744\"] \n  4 -> 10 [size =\"30239744\"]\n  4 -> 14 [size =\"30239744\"]\n  5 [size=\"68625920\", alpha=\"0.00\", expect_size=\"27450368\"] \n  5 -> 10 [size =\"27450368\"]\n  5 -> 13 [size =\"27450368\"]\n  5 -> 14 [size =\"27450368\"]\n  6 [size=\"69964800\", alpha=\"0.02\", expect_size=\"27985920\"] \n  6 -> 10 [size =\"27985920\"]\n  6 -> 14 [size =\"27985920\"]\n  6 -> 14 [size =\"27985920\"]\n  7 [size=\"78658560\", alpha=\"0.05\", expect_size=\"31463424\"] \n  7 -> 10 [size =\"31463424\"]\n  7 -> 11 [size =\"31463424\"]\n  7 -> 12 [size =\"31463424\"]\n  7 -> 13 [size =\"31463424\"]\n  7 -> 14 [size =\"31463424\"]\n  8 [size=\"99363840\", alpha=\"0.04\", expect_size=\"39745536\"] \n  8 -> 10 [size =\"39745536\"]\n  8 -> 11 [size =\"39745536\"]\n  8 -> 13 [size =\"39745536\"]\n  8 -> 14 [size =\"39745536\"]\n  9 [size=\"67978240\", alpha=\"0.12\", expect_size=\"27191296\"] \n  9 -> 16 [size =\"27191296\"]\n  9 -> 17 [size =\"27191296\"]\n  9 -> 18 [size =\"27191296\"]\n  9 -> 19 [size =\"27191296\"]\n  9 -> 20 [size =\"27191296\"]\n  10 [size=\"75868160\", alpha=\"0.10\", expect_size=\"30347264\"] \n  10 -> 18 [size =\"30347264\"]\n  10 -> 19 [size =\"30347264\"]\n  11 [size=\"53137920\", alpha=\"0.12\", expect_size=\"21255168\"] \n  11 -> 18 [size =\"21255168\"]\n  12 [size=\"37388800\", alpha=\"0.04\", expect_size=\"14955520\"] \n  12 -> 16 [size =\"14955520\"]\n  12 -> 18 [size =\"14955520\"]\n  12 -> 19 [size =\"14955520\"]\n  12 -> 20 [size =\"14955520\"]\n  13 [size=\"43435520\", alpha=\"0.01\", expect_size=\"17374208\"] \n  13 -> 16 [size =\"17374208\"]\n  13 -> 18 [size =\"17374208\"]\n  13 -> 19 [size =\"17374208\"]\n  13 -> 20 [size =\"17374208\"]\n  14 [size=\"81272320\", alpha=\"0.09\", expect_size=\"32508928\"] \n  14 -> 16 [size =\"32508928\"]\n  14 -> 19 [size =\"32508928\"]\n  14 -> 20 [size =\"32508928\"]\n  14 -> 20 [size =\"32508928\"]\n  15 [size=\"44198400\", alpha=\"0.19\", expect_size=\"17679360\"] \n  15 -> 18 [size =\"17679360\"]\n  15 -> 20 [size =\"17679360\"]\n  16 [size=\"46307840\", alpha=\"0.01\", expect_size=\"18523136\"] \n  16 -> 24 [size =\"18523136\"]\n  16 -> 25 [size =\"18523136\"]\n  17 [size=\"60584960\", alpha=\"0.09\", expect_size=\"24233984\"] \n  17 -> 21 [size =\"24233984\"]\n  17 -> 22 [size =\"24233984\"]\n  17 -> 25 [size =\"24233984\"]\n  18 [size=\"89512960\", alpha=\"0.10\", expect_size=\"35805184\"] \n  18 -> 24 [size =\"35805184\"]\n  18 -> 26 [size =\"35805184\"]\n  19 [size=\"114344960\", alpha=\"0.14\", expect_size=\"45737984\"] \n  19 -> 24 [size =\"45737984\"]\n  19 -> 26 [size =\"45737984\"]\n  20 [size=\"69521920\", alpha=\"0.13\", expect_size=\"27808768\"] \n  20 -> 23 [size =\"27808768\"]\n  21 [size=\"127567360\", alpha=\"0.10\", expect_size=\"51026944\"] \n  21 -> 28 [size =\"51026944\"]\n  21 -> 31 [size =\"51026944\"]\n  22 [size=\"79854080\", alpha=\"0.12\", expect_size=\"31941632\"] \n  22 -> 28 [size =\"31941632\"]\n  22 -> 31 [size =\"31941632\"]\n  23 [size=\"103144960\", alpha=\"0.19\", expect_size=\"41257984\"] \n  23 -> 28 [size =\"41257984\"]\n  23 -> 29 [size =\"41257984\"]\n  23 -> 30 [size =\"41257984\"]\n  23 -> 31 [size =\"41257984\"]\n  24 [size=\"107973120\", alpha=\"0.17\", expect_size=\"43189248\"] \n  24 -> 28 [size =\"43189248\"]\n  24 -> 29 [size =\"43189248\"]\n  25 [size=\"42490880\", alpha=\"0.04\", expect_size=\"16996352\"] \n  25 -> 27 [size =\"16996352\"]\n  25 -> 29 [size =\"16996352\"]\n  25 -> 30 [size =\"16996352\"]\n  26 [size=\"36697600\", alpha=\"0.00\", expect_size=\"14679040\"] \n  26 -> 28 [size =\"14679040\"]\n  27 [size=\"44764160\", alpha=\"0.08\", expect_size=\"17905664\"] \n  27 -> 32 [size =\"17905664\"]\n  27 -> 33 [size =\"17905664\"]\n  27 -> 35 [size =\"17905664\"]\n  27 -> 36 [size =\"17905664\"]\n  27 -> 37 [size =\"17905664\"]\n  28 [size=\"99937280\", alpha=\"0.10\", expect_size=\"39974912\"] \n  28 -> 32 [size =\"39974912\"]\n  28 -> 36 [size =\"39974912\"]\n  28 -> 37 [size =\"39974912\"]\n  28 -> 39 [size =\"39974912\"]\n  29 [size=\"40407040\", alpha=\"0.02\", expect_size=\"16162816\"] \n  29 -> 32 [size =\"16162816\"]\n  29 -> 36 [size =\"16162816\"]\n  29 -> 37 [size =\"16162816\"]\n  30 [size=\"120878080\", alpha=\"0.04\", expect_size=\"48351232\"] \n  30 -> 32 [size =\"48351232\"]\n  30 -> 35 [size =\"48351232\"]\n  30 -> 36 [size =\"48351232\"]\n  30 -> 38 [size =\"48351232\"]\n  30 -> 39 [size =\"48351232\"]\n  31 [size=\"81653760\", alpha=\"0.13\", expect_size=\"32661504\"] \n  31 -> 32 [size =\"32661504\"]\n  31 -> 33 [size =\"32661504\"]\n  31 -> 34 [size =\"32661504\"]\n  31 -> 35 [size =\"32661504\"]\n  31 -> 36 [size =\"32661504\"]\n  31 -> 37 [size =\"32661504\"]\n  31 -> 38 [size =\"32661504\"]\n  32 [size=\"22090240\", alpha=\"0.07\", expect_size=\"8836096\"] \n  32 -> 40 [size =\"8836096\"]\n  32 -> 41 [size =\"8836096\"]\n  32 -> 43 [size =\"8836096\"]\n  32 -> 44 [size =\"8836096\"]\n  33 [size=\"93706240\", alpha=\"0.05\", expect_size=\"37482496\"] \n  33 -> 40 [size =\"37482496\"]\n  33 -> 42 [size =\"37482496\"]\n  33 -> 44 [size =\"37482496\"]\n  33 -> 46 [size =\"37482496\"]\n  33 -> 47 [size =\"37482496\"]\n  34 [size=\"88450560\", alpha=\"0.15\", expect_size=\"35380224\"] \n  34 -> 43 [size =\"35380224\"]\n  34 -> 46 [size =\"35380224\"]\n  34 -> 47 [size =\"35380224\"]\n  35 [size=\"68812800\", alpha=\"0.10\", expect_size=\"27525120\"] \n  35 -> 41 [size =\"27525120\"]\n  35 -> 42 [size =\"27525120\"]\n  35 -> 43 [size =\"27525120\"]\n  35 -> 44 [size =\"27525120\"]\n  35 -> 46 [size =\"27525120\"]\n  35 -> 47 [size =\"27525120\"]\n  36 [size=\"90314240\", alpha=\"0.11\", expect_size=\"36125696\"] \n  36 -> 44 [size =\"36125696\"]\n  36 -> 46 [size =\"36125696\"]\n  36 -> 47 [size =\"36125696\"]\n  37 [size=\"91850240\", alpha=\"0.20\", expect_size=\"36740096\"] \n  37 -> 40 [size =\"36740096\"]\n  37 -> 42 [size =\"36740096\"]\n  37 -> 44 [size =\"36740096\"]\n  37 -> 45 [size =\"36740096\"]\n  38 [size=\"21009920\", alpha=\"0.01\", expect_size=\"8403968\"] \n  38 -> 40 [size =\"8403968\"]\n  38 -> 41 [size =\"8403968\"]\n  38 -> 42 [size =\"8403968\"]\n  38 -> 43 [size =\"8403968\"]\n  38 -> 44 [size =\"8403968\"]\n  38 -> 45 [size =\"8403968\"]\n  39 [size=\"82014720\", alpha=\"0.00\", expect_size=\"32805888\"] \n  39 -> 40 [size =\"32805888\"]\n  39 -> 41 [size =\"32805888\"]\n  39 -> 43 [size =\"32805888\"]\n  39 -> 43 [size =\"32805888\"]\n  39 -> 44 [size =\"32805888\"]\n  39 -> 46 [size =\"32805888\"]\n  40 [size=\"93808640\", alpha=\"0.09\", expect_size=\"37523456\"] \n  40 -> 48 [size =\"37523456\"]\n  41 [size=\"119150080\", alpha=\"0.17\", expect_size=\"47660032\"] \n  41 -> 48 [size =\"47660032\"]\n  42 [size=\"80107520\", alpha=\"0.16\", expect_size=\"32043008\"] \n  42 -> 48 [size =\"32043008\"]\n  43 [size=\"118929920\", alpha=\"0.11\", expect_size=\"47571968\"] \n  43 -> 48 [size =\"47571968\"]\n  43 -> 50 [size =\"47571968\"]\n  44 [size=\"30018560\", alpha=\"0.01\", expect_size=\"12007424\"] \n  44 -> 48 [size =\"12007424\"]\n  45 [size=\"117463040\", alpha=\"0.17\", expect_size=\"46985216\"] \n  45 -> 48 [size =\"46985216\"]\n  46 [size=\"58465280\", alpha=\"0.16\", expect_size=\"23386112\"] \n  46 -> 48 [size =\"23386112\"]\n  46 -> 49 [size =\"23386112\"]\n  47 [size=\"122152960\", alpha=\"0.01\", expect_size=\"48861184\"] \n  47 -> 48 [size =\"48861184\"]\n  48 [size=\"120079360\", alpha=\"0.01\", expect_size=\"48031744\"] \n  49 [size=\"128647680\", alpha=\"0.05\", expect_size=\"51459072\"] \n  50 [size=\"13166080\", alpha=\"0.08\", expect_size=\"5266432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.223.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43947520\", alpha=\"0.09\", expect_size=\"17579008\"] \n  1 -> 27 [size =\"17579008\"]\n  1 -> 31 [size =\"17579008\"]\n  1 -> 39 [size =\"17579008\"]\n  1 -> 39 [size =\"17579008\"]\n  2 [size=\"99985920\", alpha=\"0.18\", expect_size=\"39994368\"] \n  2 -> 32 [size =\"39994368\"]\n  2 -> 33 [size =\"39994368\"]\n  2 -> 37 [size =\"39994368\"]\n  2 -> 39 [size =\"39994368\"]\n  2 -> 41 [size =\"39994368\"]\n  2 -> 42 [size =\"39994368\"]\n  2 -> 43 [size =\"39994368\"]\n  2 -> 47 [size =\"39994368\"]\n  2 -> 48 [size =\"39994368\"]\n  3 [size=\"125043200\", alpha=\"0.18\", expect_size=\"50017280\"] \n  3 -> 27 [size =\"50017280\"]\n  3 -> 31 [size =\"50017280\"]\n  3 -> 32 [size =\"50017280\"]\n  3 -> 33 [size =\"50017280\"]\n  3 -> 37 [size =\"50017280\"]\n  3 -> 39 [size =\"50017280\"]\n  3 -> 40 [size =\"50017280\"]\n  3 -> 41 [size =\"50017280\"]\n  3 -> 46 [size =\"50017280\"]\n  3 -> 47 [size =\"50017280\"]\n  4 [size=\"84234240\", alpha=\"0.13\", expect_size=\"33693696\"] \n  4 -> 32 [size =\"33693696\"]\n  4 -> 37 [size =\"33693696\"]\n  4 -> 38 [size =\"33693696\"]\n  4 -> 39 [size =\"33693696\"]\n  4 -> 40 [size =\"33693696\"]\n  4 -> 41 [size =\"33693696\"]\n  4 -> 42 [size =\"33693696\"]\n  4 -> 47 [size =\"33693696\"]\n  5 [size=\"97236480\", alpha=\"0.13\", expect_size=\"38894592\"] \n  5 -> 27 [size =\"38894592\"]\n  5 -> 28 [size =\"38894592\"]\n  5 -> 31 [size =\"38894592\"]\n  5 -> 32 [size =\"38894592\"]\n  5 -> 44 [size =\"38894592\"]\n  5 -> 46 [size =\"38894592\"]\n  5 -> 47 [size =\"38894592\"]\n  5 -> 50 [size =\"38894592\"]\n  6 [size=\"19079680\", alpha=\"0.10\", expect_size=\"7631872\"] \n  6 -> 32 [size =\"7631872\"]\n  6 -> 34 [size =\"7631872\"]\n  6 -> 39 [size =\"7631872\"]\n  6 -> 41 [size =\"7631872\"]\n  6 -> 42 [size =\"7631872\"]\n  6 -> 45 [size =\"7631872\"]\n  6 -> 47 [size =\"7631872\"]\n  6 -> 48 [size =\"7631872\"]\n  6 -> 50 [size =\"7631872\"]\n  7 [size=\"25620480\", alpha=\"0.18\", expect_size=\"10248192\"] \n  7 -> 27 [size =\"10248192\"]\n  7 -> 29 [size =\"10248192\"]\n  7 -> 32 [size =\"10248192\"]\n  7 -> 34 [size =\"10248192\"]\n  7 -> 37 [size =\"10248192\"]\n  7 -> 38 [size =\"10248192\"]\n  7 -> 41 [size =\"10248192\"]\n  7 -> 44 [size =\"10248192\"]\n  7 -> 48 [size =\"10248192\"]\n  8 [size=\"97213440\", alpha=\"0.01\", expect_size=\"38885376\"] \n  8 -> 28 [size =\"38885376\"]\n  8 -> 31 [size =\"38885376\"]\n  8 -> 32 [size =\"38885376\"]\n  8 -> 36 [size =\"38885376\"]\n  8 -> 37 [size =\"38885376\"]\n  8 -> 38 [size =\"38885376\"]\n  8 -> 45 [size =\"38885376\"]\n  8 -> 47 [size =\"38885376\"]\n  8 -> 48 [size =\"38885376\"]\n  9 [size=\"126535680\", alpha=\"0.18\", expect_size=\"50614272\"] \n  9 -> 28 [size =\"50614272\"]\n  9 -> 31 [size =\"50614272\"]\n  9 -> 34 [size =\"50614272\"]\n  9 -> 37 [size =\"50614272\"]\n  9 -> 41 [size =\"50614272\"]\n  9 -> 45 [size =\"50614272\"]\n  9 -> 45 [size =\"50614272\"]\n  9 -> 46 [size =\"50614272\"]\n  9 -> 47 [size =\"50614272\"]\n  9 -> 48 [size =\"50614272\"]\n  10 [size=\"112465920\", alpha=\"0.02\", expect_size=\"44986368\"] \n  10 -> 27 [size =\"44986368\"]\n  10 -> 30 [size =\"44986368\"]\n  10 -> 31 [size =\"44986368\"]\n  10 -> 32 [size =\"44986368\"]\n  10 -> 34 [size =\"44986368\"]\n  10 -> 39 [size =\"44986368\"]\n  10 -> 47 [size =\"44986368\"]\n  11 [size=\"60152320\", alpha=\"0.13\", expect_size=\"24060928\"] \n  11 -> 27 [size =\"24060928\"]\n  11 -> 28 [size =\"24060928\"]\n  11 -> 31 [size =\"24060928\"]\n  11 -> 34 [size =\"24060928\"]\n  11 -> 34 [size =\"24060928\"]\n  11 -> 39 [size =\"24060928\"]\n  11 -> 40 [size =\"24060928\"]\n  11 -> 43 [size =\"24060928\"]\n  11 -> 44 [size =\"24060928\"]\n  11 -> 45 [size =\"24060928\"]\n  11 -> 46 [size =\"24060928\"]\n  12 [size=\"110950400\", alpha=\"0.15\", expect_size=\"44380160\"] \n  12 -> 27 [size =\"44380160\"]\n  12 -> 31 [size =\"44380160\"]\n  12 -> 34 [size =\"44380160\"]\n  12 -> 34 [size =\"44380160\"]\n  12 -> 36 [size =\"44380160\"]\n  12 -> 43 [size =\"44380160\"]\n  12 -> 49 [size =\"44380160\"]\n  13 [size=\"98227200\", alpha=\"0.10\", expect_size=\"39290880\"] \n  13 -> 27 [size =\"39290880\"]\n  13 -> 37 [size =\"39290880\"]\n  13 -> 45 [size =\"39290880\"]\n  13 -> 47 [size =\"39290880\"]\n  13 -> 48 [size =\"39290880\"]\n  13 -> 50 [size =\"39290880\"]\n  14 [size=\"83975680\", alpha=\"0.08\", expect_size=\"33590272\"] \n  14 -> 27 [size =\"33590272\"]\n  14 -> 37 [size =\"33590272\"]\n  14 -> 38 [size =\"33590272\"]\n  14 -> 41 [size =\"33590272\"]\n  14 -> 43 [size =\"33590272\"]\n  14 -> 44 [size =\"33590272\"]\n  14 -> 45 [size =\"33590272\"]\n  14 -> 47 [size =\"33590272\"]\n  14 -> 49 [size =\"33590272\"]\n  15 [size=\"42365440\", alpha=\"0.03\", expect_size=\"16946176\"] \n  15 -> 30 [size =\"16946176\"]\n  15 -> 34 [size =\"16946176\"]\n  15 -> 36 [size =\"16946176\"]\n  15 -> 37 [size =\"16946176\"]\n  15 -> 40 [size =\"16946176\"]\n  15 -> 41 [size =\"16946176\"]\n  15 -> 42 [size =\"16946176\"]\n  15 -> 43 [size =\"16946176\"]\n  15 -> 45 [size =\"16946176\"]\n  15 -> 46 [size =\"16946176\"]\n  15 -> 48 [size =\"16946176\"]\n  16 [size=\"121989120\", alpha=\"0.19\", expect_size=\"48795648\"] \n  16 -> 32 [size =\"48795648\"]\n  16 -> 35 [size =\"48795648\"]\n  16 -> 41 [size =\"48795648\"]\n  16 -> 42 [size =\"48795648\"]\n  16 -> 43 [size =\"48795648\"]\n  16 -> 45 [size =\"48795648\"]\n  16 -> 48 [size =\"48795648\"]\n  16 -> 49 [size =\"48795648\"]\n  16 -> 50 [size =\"48795648\"]\n  17 [size=\"62853120\", alpha=\"0.01\", expect_size=\"25141248\"] \n  17 -> 31 [size =\"25141248\"]\n  17 -> 33 [size =\"25141248\"]\n  17 -> 36 [size =\"25141248\"]\n  17 -> 39 [size =\"25141248\"]\n  17 -> 41 [size =\"25141248\"]\n  17 -> 43 [size =\"25141248\"]\n  18 [size=\"52326400\", alpha=\"0.02\", expect_size=\"20930560\"] \n  18 -> 28 [size =\"20930560\"]\n  18 -> 31 [size =\"20930560\"]\n  18 -> 33 [size =\"20930560\"]\n  18 -> 36 [size =\"20930560\"]\n  18 -> 38 [size =\"20930560\"]\n  18 -> 42 [size =\"20930560\"]\n  19 [size=\"59932160\", alpha=\"0.07\", expect_size=\"23972864\"] \n  19 -> 32 [size =\"23972864\"]\n  19 -> 34 [size =\"23972864\"]\n  19 -> 36 [size =\"23972864\"]\n  19 -> 38 [size =\"23972864\"]\n  19 -> 42 [size =\"23972864\"]\n  19 -> 45 [size =\"23972864\"]\n  19 -> 47 [size =\"23972864\"]\n  20 [size=\"49584640\", alpha=\"0.12\", expect_size=\"19833856\"] \n  20 -> 30 [size =\"19833856\"]\n  20 -> 34 [size =\"19833856\"]\n  20 -> 36 [size =\"19833856\"]\n  20 -> 39 [size =\"19833856\"]\n  20 -> 41 [size =\"19833856\"]\n  20 -> 49 [size =\"19833856\"]\n  20 -> 50 [size =\"19833856\"]\n  21 [size=\"60308480\", alpha=\"0.02\", expect_size=\"24123392\"] \n  21 -> 31 [size =\"24123392\"]\n  21 -> 32 [size =\"24123392\"]\n  21 -> 33 [size =\"24123392\"]\n  21 -> 34 [size =\"24123392\"]\n  21 -> 35 [size =\"24123392\"]\n  21 -> 36 [size =\"24123392\"]\n  21 -> 41 [size =\"24123392\"]\n  21 -> 43 [size =\"24123392\"]\n  21 -> 49 [size =\"24123392\"]\n  22 [size=\"17448960\", alpha=\"0.07\", expect_size=\"6979584\"] \n  22 -> 28 [size =\"6979584\"]\n  22 -> 31 [size =\"6979584\"]\n  22 -> 34 [size =\"6979584\"]\n  22 -> 42 [size =\"6979584\"]\n  22 -> 45 [size =\"6979584\"]\n  22 -> 47 [size =\"6979584\"]\n  22 -> 49 [size =\"6979584\"]\n  22 -> 50 [size =\"6979584\"]\n  23 [size=\"103098880\", alpha=\"0.11\", expect_size=\"41239552\"] \n  23 -> 27 [size =\"41239552\"]\n  23 -> 32 [size =\"41239552\"]\n  23 -> 34 [size =\"41239552\"]\n  23 -> 36 [size =\"41239552\"]\n  23 -> 43 [size =\"41239552\"]\n  23 -> 45 [size =\"41239552\"]\n  23 -> 47 [size =\"41239552\"]\n  23 -> 49 [size =\"41239552\"]\n  23 -> 50 [size =\"41239552\"]\n  24 [size=\"43333120\", alpha=\"0.07\", expect_size=\"17333248\"] \n  24 -> 27 [size =\"17333248\"]\n  24 -> 32 [size =\"17333248\"]\n  24 -> 38 [size =\"17333248\"]\n  24 -> 45 [size =\"17333248\"]\n  24 -> 46 [size =\"17333248\"]\n  24 -> 49 [size =\"17333248\"]\n  24 -> 50 [size =\"17333248\"]\n  25 [size=\"89518080\", alpha=\"0.17\", expect_size=\"35807232\"] \n  25 -> 27 [size =\"35807232\"]\n  25 -> 33 [size =\"35807232\"]\n  25 -> 36 [size =\"35807232\"]\n  25 -> 38 [size =\"35807232\"]\n  25 -> 43 [size =\"35807232\"]\n  25 -> 45 [size =\"35807232\"]\n  25 -> 46 [size =\"35807232\"]\n  25 -> 47 [size =\"35807232\"]\n  25 -> 50 [size =\"35807232\"]\n  26 [size=\"106831360\", alpha=\"0.08\", expect_size=\"42732544\"] \n  26 -> 27 [size =\"42732544\"]\n  26 -> 36 [size =\"42732544\"]\n  26 -> 38 [size =\"42732544\"]\n  26 -> 39 [size =\"42732544\"]\n  26 -> 43 [size =\"42732544\"]\n  26 -> 45 [size =\"42732544\"]\n  26 -> 47 [size =\"42732544\"]\n  26 -> 49 [size =\"42732544\"]\n  26 -> 50 [size =\"42732544\"]\n  27 [size=\"98396160\", alpha=\"0.01\", expect_size=\"39358464\"] \n  28 [size=\"102266880\", alpha=\"0.09\", expect_size=\"40906752\"] \n  29 [size=\"113786880\", alpha=\"0.16\", expect_size=\"45514752\"] \n  30 [size=\"39951360\", alpha=\"0.19\", expect_size=\"15980544\"] \n  31 [size=\"112780800\", alpha=\"0.11\", expect_size=\"45112320\"] \n  32 [size=\"127188480\", alpha=\"0.19\", expect_size=\"50875392\"] \n  33 [size=\"52085760\", alpha=\"0.02\", expect_size=\"20834304\"] \n  34 [size=\"117378560\", alpha=\"0.16\", expect_size=\"46951424\"] \n  35 [size=\"40299520\", alpha=\"0.16\", expect_size=\"16119808\"] \n  36 [size=\"22945280\", alpha=\"0.14\", expect_size=\"9178112\"] \n  37 [size=\"71288320\", alpha=\"0.00\", expect_size=\"28515328\"] \n  38 [size=\"79877120\", alpha=\"0.13\", expect_size=\"31950848\"] \n  39 [size=\"14853120\", alpha=\"0.14\", expect_size=\"5941248\"] \n  40 [size=\"107614720\", alpha=\"0.02\", expect_size=\"43045888\"] \n  41 [size=\"103626240\", alpha=\"0.17\", expect_size=\"41450496\"] \n  42 [size=\"49935360\", alpha=\"0.13\", expect_size=\"19974144\"] \n  43 [size=\"44385280\", alpha=\"0.04\", expect_size=\"17754112\"] \n  44 [size=\"54131200\", alpha=\"0.01\", expect_size=\"21652480\"] \n  45 [size=\"32081920\", alpha=\"0.10\", expect_size=\"12832768\"] \n  46 [size=\"125457920\", alpha=\"0.15\", expect_size=\"50183168\"] \n  47 [size=\"89251840\", alpha=\"0.15\", expect_size=\"35700736\"] \n  48 [size=\"91174400\", alpha=\"0.10\", expect_size=\"36469760\"] \n  49 [size=\"52482560\", alpha=\"0.01\", expect_size=\"20993024\"] \n  50 [size=\"20001280\", alpha=\"0.18\", expect_size=\"8000512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.224.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36626432\", alpha=\"0.17\", expect_size=\"18313216\"] \n  1 -> 5 [size =\"18313216\"]\n  1 -> 6 [size =\"18313216\"]\n  2 [size=\"56375296\", alpha=\"0.01\", expect_size=\"28187648\"] \n  2 -> 6 [size =\"28187648\"]\n  3 [size=\"49928192\", alpha=\"0.13\", expect_size=\"24964096\"] \n  3 -> 4 [size =\"24964096\"]\n  3 -> 5 [size =\"24964096\"]\n  4 [size=\"11778048\", alpha=\"0.11\", expect_size=\"5889024\"] \n  5 [size=\"95852544\", alpha=\"0.05\", expect_size=\"47926272\"] \n  5 -> 8 [size =\"47926272\"]\n  6 [size=\"30593024\", alpha=\"0.11\", expect_size=\"15296512\"] \n  6 -> 7 [size =\"15296512\"]\n  7 [size=\"30017536\", alpha=\"0.00\", expect_size=\"15008768\"] \n  7 -> 11 [size =\"15008768\"]\n  8 [size=\"21725184\", alpha=\"0.05\", expect_size=\"10862592\"] \n  8 -> 9 [size =\"10862592\"]\n  8 -> 10 [size =\"10862592\"]\n  9 [size=\"94167040\", alpha=\"0.19\", expect_size=\"47083520\"] \n  9 -> 13 [size =\"47083520\"]\n  10 [size=\"99672064\", alpha=\"0.12\", expect_size=\"49836032\"] \n  10 -> 12 [size =\"49836032\"]\n  11 [size=\"85190656\", alpha=\"0.17\", expect_size=\"42595328\"] \n  11 -> 12 [size =\"42595328\"]\n  11 -> 13 [size =\"42595328\"]\n  12 [size=\"70602752\", alpha=\"0.08\", expect_size=\"35301376\"] \n  12 -> 14 [size =\"35301376\"]\n  12 -> 15 [size =\"35301376\"]\n  13 [size=\"76072960\", alpha=\"0.03\", expect_size=\"38036480\"] \n  14 [size=\"42022912\", alpha=\"0.13\", expect_size=\"21011456\"] \n  15 [size=\"93259776\", alpha=\"0.11\", expect_size=\"46629888\"] \n  15 -> 16 [size =\"46629888\"]\n  15 -> 17 [size =\"46629888\"]\n  16 [size=\"21436416\", alpha=\"0.13\", expect_size=\"10718208\"] \n  16 -> 18 [size =\"10718208\"]\n  16 -> 19 [size =\"10718208\"]\n  16 -> 20 [size =\"10718208\"]\n  17 [size=\"74508288\", alpha=\"0.16\", expect_size=\"37254144\"] \n  18 [size=\"75778048\", alpha=\"0.18\", expect_size=\"37889024\"] \n  18 -> 21 [size =\"37889024\"]\n  19 [size=\"97619968\", alpha=\"0.15\", expect_size=\"48809984\"] \n  19 -> 22 [size =\"48809984\"]\n  20 [size=\"90695680\", alpha=\"0.03\", expect_size=\"45347840\"] \n  20 -> 21 [size =\"45347840\"]\n  21 [size=\"54798336\", alpha=\"0.17\", expect_size=\"27399168\"] \n  22 [size=\"41779200\", alpha=\"0.01\", expect_size=\"20889600\"] \n  22 -> 23 [size =\"20889600\"]\n  22 -> 24 [size =\"20889600\"]\n  23 [size=\"81559552\", alpha=\"0.13\", expect_size=\"40779776\"] \n  23 -> 26 [size =\"40779776\"]\n  24 [size=\"93939712\", alpha=\"0.06\", expect_size=\"46969856\"] \n  24 -> 25 [size =\"46969856\"]\n  24 -> 27 [size =\"46969856\"]\n  25 [size=\"61552640\", alpha=\"0.16\", expect_size=\"30776320\"] \n  25 -> 28 [size =\"30776320\"]\n  25 -> 29 [size =\"30776320\"]\n  25 -> 30 [size =\"30776320\"]\n  26 [size=\"19902464\", alpha=\"0.11\", expect_size=\"9951232\"] \n  27 [size=\"81227776\", alpha=\"0.10\", expect_size=\"40613888\"] \n  28 [size=\"63690752\", alpha=\"0.11\", expect_size=\"31845376\"] \n  28 -> 32 [size =\"31845376\"]\n  29 [size=\"56233984\", alpha=\"0.10\", expect_size=\"28116992\"] \n  29 -> 32 [size =\"28116992\"]\n  30 [size=\"31969280\", alpha=\"0.08\", expect_size=\"15984640\"] \n  30 -> 31 [size =\"15984640\"]\n  31 [size=\"47638528\", alpha=\"0.01\", expect_size=\"23819264\"] \n  31 -> 33 [size =\"23819264\"]\n  32 [size=\"35008512\", alpha=\"0.08\", expect_size=\"17504256\"] \n  32 -> 34 [size =\"17504256\"]\n  32 -> 35 [size =\"17504256\"]\n  33 [size=\"39972864\", alpha=\"0.08\", expect_size=\"19986432\"] \n  33 -> 36 [size =\"19986432\"]\n  34 [size=\"101971968\", alpha=\"0.15\", expect_size=\"50985984\"] \n  34 -> 37 [size =\"50985984\"]\n  35 [size=\"33558528\", alpha=\"0.20\", expect_size=\"16779264\"] \n  35 -> 36 [size =\"16779264\"]\n  35 -> 37 [size =\"16779264\"]\n  35 -> 38 [size =\"16779264\"]\n  36 [size=\"14469120\", alpha=\"0.07\", expect_size=\"7234560\"] \n  37 [size=\"64815104\", alpha=\"0.07\", expect_size=\"32407552\"] \n  37 -> 40 [size =\"32407552\"]\n  37 -> 41 [size =\"32407552\"]\n  38 [size=\"15382528\", alpha=\"0.01\", expect_size=\"7691264\"] \n  38 -> 39 [size =\"7691264\"]\n  38 -> 41 [size =\"7691264\"]\n  39 [size=\"66158592\", alpha=\"0.14\", expect_size=\"33079296\"] \n  39 -> 42 [size =\"33079296\"]\n  40 [size=\"17707008\", alpha=\"0.04\", expect_size=\"8853504\"] \n  40 -> 42 [size =\"8853504\"]\n  40 -> 43 [size =\"8853504\"]\n  41 [size=\"53587968\", alpha=\"0.03\", expect_size=\"26793984\"] \n  42 [size=\"59762688\", alpha=\"0.09\", expect_size=\"29881344\"] \n  42 -> 44 [size =\"29881344\"]\n  42 -> 45 [size =\"29881344\"]\n  43 [size=\"96348160\", alpha=\"0.10\", expect_size=\"48174080\"] \n  43 -> 46 [size =\"48174080\"]\n  44 [size=\"40189952\", alpha=\"0.08\", expect_size=\"20094976\"] \n  44 -> 48 [size =\"20094976\"]\n  45 [size=\"17197056\", alpha=\"0.18\", expect_size=\"8598528\"] \n  45 -> 49 [size =\"8598528\"]\n  46 [size=\"15773696\", alpha=\"0.09\", expect_size=\"7886848\"] \n  46 -> 47 [size =\"7886848\"]\n  47 [size=\"46870528\", alpha=\"0.15\", expect_size=\"23435264\"] \n  47 -> 50 [size =\"23435264\"]\n  48 [size=\"80142336\", alpha=\"0.13\", expect_size=\"40071168\"] \n  49 [size=\"86509568\", alpha=\"0.00\", expect_size=\"43254784\"] \n  50 [size=\"58732544\", alpha=\"0.12\", expect_size=\"29366272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.225.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72946347\", alpha=\"0.16\", expect_size=\"21883904\"] \n  1 -> 2 [size =\"21883904\"]\n  2 [size=\"28999680\", alpha=\"0.16\", expect_size=\"8699904\"] \n  2 -> 3 [size =\"8699904\"]\n  3 [size=\"25838933\", alpha=\"0.17\", expect_size=\"7751680\"] \n  3 -> 4 [size =\"7751680\"]\n  4 [size=\"148520960\", alpha=\"0.01\", expect_size=\"44556288\"] \n  4 -> 5 [size =\"44556288\"]\n  5 [size=\"131420160\", alpha=\"0.14\", expect_size=\"39426048\"] \n  5 -> 6 [size =\"39426048\"]\n  6 [size=\"86794240\", alpha=\"0.20\", expect_size=\"26038272\"] \n  6 -> 7 [size =\"26038272\"]\n  7 [size=\"125829120\", alpha=\"0.09\", expect_size=\"37748736\"] \n  7 -> 8 [size =\"37748736\"]\n  8 [size=\"23930880\", alpha=\"0.13\", expect_size=\"7179264\"] \n  8 -> 9 [size =\"7179264\"]\n  9 [size=\"79441920\", alpha=\"0.10\", expect_size=\"23832576\"] \n  9 -> 10 [size =\"23832576\"]\n  10 [size=\"70550187\", alpha=\"0.10\", expect_size=\"21165056\"] \n  10 -> 11 [size =\"21165056\"]\n  11 [size=\"69625173\", alpha=\"0.18\", expect_size=\"20887552\"] \n  11 -> 12 [size =\"20887552\"]\n  12 [size=\"39823360\", alpha=\"0.09\", expect_size=\"11947008\"] \n  12 -> 13 [size =\"11947008\"]\n  13 [size=\"163744427\", alpha=\"0.06\", expect_size=\"49123328\"] \n  13 -> 14 [size =\"49123328\"]\n  14 [size=\"138427733\", alpha=\"0.05\", expect_size=\"41528320\"] \n  14 -> 15 [size =\"41528320\"]\n  15 [size=\"144325973\", alpha=\"0.10\", expect_size=\"43297792\"] \n  15 -> 16 [size =\"43297792\"]\n  16 [size=\"98075307\", alpha=\"0.05\", expect_size=\"29422592\"] \n  16 -> 17 [size =\"29422592\"]\n  17 [size=\"96788480\", alpha=\"0.20\", expect_size=\"29036544\"] \n  17 -> 18 [size =\"29036544\"]\n  18 [size=\"166905173\", alpha=\"0.04\", expect_size=\"50071552\"] \n  18 -> 19 [size =\"50071552\"]\n  19 [size=\"111421440\", alpha=\"0.04\", expect_size=\"33426432\"] \n  19 -> 20 [size =\"33426432\"]\n  20 [size=\"36679680\", alpha=\"0.19\", expect_size=\"11003904\"] \n  20 -> 21 [size =\"11003904\"]\n  21 [size=\"116288853\", alpha=\"0.00\", expect_size=\"34886656\"] \n  21 -> 22 [size =\"34886656\"]\n  22 [size=\"97204907\", alpha=\"0.03\", expect_size=\"29161472\"] \n  22 -> 23 [size =\"29161472\"]\n  23 [size=\"167017813\", alpha=\"0.07\", expect_size=\"50105344\"] \n  23 -> 24 [size =\"50105344\"]\n  24 [size=\"57596587\", alpha=\"0.08\", expect_size=\"17278976\"] \n  24 -> 25 [size =\"17278976\"]\n  25 [size=\"97949013\", alpha=\"0.03\", expect_size=\"29384704\"] \n  25 -> 26 [size =\"29384704\"]\n  26 [size=\"20691627\", alpha=\"0.07\", expect_size=\"6207488\"] \n  26 -> 27 [size =\"6207488\"]\n  27 [size=\"56422400\", alpha=\"0.05\", expect_size=\"16926720\"] \n  27 -> 28 [size =\"16926720\"]\n  28 [size=\"53773653\", alpha=\"0.04\", expect_size=\"16132096\"] \n  28 -> 29 [size =\"16132096\"]\n  29 [size=\"84145493\", alpha=\"0.10\", expect_size=\"25243648\"] \n  29 -> 30 [size =\"25243648\"]\n  30 [size=\"117241173\", alpha=\"0.04\", expect_size=\"35172352\"] \n  30 -> 31 [size =\"35172352\"]\n  31 [size=\"107106987\", alpha=\"0.04\", expect_size=\"32132096\"] \n  31 -> 32 [size =\"32132096\"]\n  32 [size=\"109213013\", alpha=\"0.06\", expect_size=\"32763904\"] \n  32 -> 33 [size =\"32763904\"]\n  33 [size=\"135082667\", alpha=\"0.08\", expect_size=\"40524800\"] \n  33 -> 34 [size =\"40524800\"]\n  34 [size=\"35792213\", alpha=\"0.04\", expect_size=\"10737664\"] \n  34 -> 35 [size =\"10737664\"]\n  35 [size=\"99676160\", alpha=\"0.17\", expect_size=\"29902848\"] \n  35 -> 36 [size =\"29902848\"]\n  36 [size=\"126109013\", alpha=\"0.00\", expect_size=\"37832704\"] \n  36 -> 37 [size =\"37832704\"]\n  37 [size=\"27122347\", alpha=\"0.14\", expect_size=\"8136704\"] \n  37 -> 38 [size =\"8136704\"]\n  38 [size=\"68355413\", alpha=\"0.06\", expect_size=\"20506624\"] \n  38 -> 39 [size =\"20506624\"]\n  39 [size=\"98979840\", alpha=\"0.10\", expect_size=\"29693952\"] \n  39 -> 40 [size =\"29693952\"]\n  40 [size=\"23674880\", alpha=\"0.17\", expect_size=\"7102464\"] \n  40 -> 41 [size =\"7102464\"]\n  41 [size=\"52800853\", alpha=\"0.16\", expect_size=\"15840256\"] \n  41 -> 42 [size =\"15840256\"]\n  42 [size=\"81223680\", alpha=\"0.05\", expect_size=\"24367104\"] \n  42 -> 43 [size =\"24367104\"]\n  43 [size=\"131287040\", alpha=\"0.13\", expect_size=\"39386112\"] \n  43 -> 44 [size =\"39386112\"]\n  44 [size=\"34696533\", alpha=\"0.07\", expect_size=\"10408960\"] \n  44 -> 45 [size =\"10408960\"]\n  45 [size=\"69683200\", alpha=\"0.10\", expect_size=\"20904960\"] \n  45 -> 46 [size =\"20904960\"]\n  46 [size=\"48527360\", alpha=\"0.14\", expect_size=\"14558208\"] \n  46 -> 47 [size =\"14558208\"]\n  47 [size=\"51831467\", alpha=\"0.03\", expect_size=\"15549440\"] \n  47 -> 48 [size =\"15549440\"]\n  48 [size=\"158911147\", alpha=\"0.17\", expect_size=\"47673344\"] \n  48 -> 49 [size =\"47673344\"]\n  49 [size=\"47339520\", alpha=\"0.19\", expect_size=\"14201856\"] \n  49 -> 50 [size =\"14201856\"]\n  50 [size=\"125631147\", alpha=\"0.14\", expect_size=\"37689344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.226.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62466048\", alpha=\"0.13\", expect_size=\"31233024\"] \n  2 [size=\"100362240\", alpha=\"0.19\", expect_size=\"50181120\"] \n  2 -> 4 [size =\"50181120\"]\n  2 -> 5 [size =\"50181120\"]\n  2 -> 6 [size =\"50181120\"]\n  3 [size=\"32702464\", alpha=\"0.10\", expect_size=\"16351232\"] \n  3 -> 4 [size =\"16351232\"]\n  4 [size=\"80666624\", alpha=\"0.06\", expect_size=\"40333312\"] \n  4 -> 7 [size =\"40333312\"]\n  4 -> 8 [size =\"40333312\"]\n  4 -> 9 [size =\"40333312\"]\n  5 [size=\"37132288\", alpha=\"0.06\", expect_size=\"18566144\"] \n  5 -> 8 [size =\"18566144\"]\n  6 [size=\"88025088\", alpha=\"0.11\", expect_size=\"44012544\"] \n  6 -> 7 [size =\"44012544\"]\n  6 -> 8 [size =\"44012544\"]\n  6 -> 9 [size =\"44012544\"]\n  7 [size=\"103854080\", alpha=\"0.07\", expect_size=\"51927040\"] \n  7 -> 10 [size =\"51927040\"]\n  7 -> 12 [size =\"51927040\"]\n  8 [size=\"98428928\", alpha=\"0.03\", expect_size=\"49214464\"] \n  8 -> 10 [size =\"49214464\"]\n  8 -> 11 [size =\"49214464\"]\n  8 -> 13 [size =\"49214464\"]\n  9 [size=\"48017408\", alpha=\"0.03\", expect_size=\"24008704\"] \n  9 -> 11 [size =\"24008704\"]\n  9 -> 11 [size =\"24008704\"]\n  9 -> 13 [size =\"24008704\"]\n  10 [size=\"73893888\", alpha=\"0.02\", expect_size=\"36946944\"] \n  10 -> 15 [size =\"36946944\"]\n  10 -> 16 [size =\"36946944\"]\n  11 [size=\"72132608\", alpha=\"0.01\", expect_size=\"36066304\"] \n  11 -> 14 [size =\"36066304\"]\n  11 -> 15 [size =\"36066304\"]\n  12 [size=\"38311936\", alpha=\"0.10\", expect_size=\"19155968\"] \n  12 -> 14 [size =\"19155968\"]\n  12 -> 16 [size =\"19155968\"]\n  13 [size=\"34269184\", alpha=\"0.10\", expect_size=\"17134592\"] \n  13 -> 14 [size =\"17134592\"]\n  13 -> 15 [size =\"17134592\"]\n  13 -> 16 [size =\"17134592\"]\n  14 [size=\"80283648\", alpha=\"0.09\", expect_size=\"40141824\"] \n  14 -> 17 [size =\"40141824\"]\n  14 -> 18 [size =\"40141824\"]\n  15 [size=\"16136192\", alpha=\"0.20\", expect_size=\"8068096\"] \n  15 -> 17 [size =\"8068096\"]\n  16 [size=\"43610112\", alpha=\"0.02\", expect_size=\"21805056\"] \n  16 -> 19 [size =\"21805056\"]\n  17 [size=\"95692800\", alpha=\"0.10\", expect_size=\"47846400\"] \n  17 -> 20 [size =\"47846400\"]\n  17 -> 21 [size =\"47846400\"]\n  18 [size=\"32790528\", alpha=\"0.19\", expect_size=\"16395264\"] \n  18 -> 20 [size =\"16395264\"]\n  18 -> 21 [size =\"16395264\"]\n  19 [size=\"46647296\", alpha=\"0.02\", expect_size=\"23323648\"] \n  19 -> 20 [size =\"23323648\"]\n  19 -> 21 [size =\"23323648\"]\n  20 [size=\"62562304\", alpha=\"0.08\", expect_size=\"31281152\"] \n  20 -> 22 [size =\"31281152\"]\n  20 -> 23 [size =\"31281152\"]\n  21 [size=\"73910272\", alpha=\"0.05\", expect_size=\"36955136\"] \n  21 -> 22 [size =\"36955136\"]\n  21 -> 23 [size =\"36955136\"]\n  22 [size=\"79820800\", alpha=\"0.01\", expect_size=\"39910400\"] \n  22 -> 24 [size =\"39910400\"]\n  22 -> 25 [size =\"39910400\"]\n  23 [size=\"34537472\", alpha=\"0.01\", expect_size=\"17268736\"] \n  23 -> 24 [size =\"17268736\"]\n  24 [size=\"80537600\", alpha=\"0.17\", expect_size=\"40268800\"] \n  24 -> 26 [size =\"40268800\"]\n  24 -> 27 [size =\"40268800\"]\n  25 [size=\"28434432\", alpha=\"0.18\", expect_size=\"14217216\"] \n  25 -> 26 [size =\"14217216\"]\n  25 -> 28 [size =\"14217216\"]\n  26 [size=\"27418624\", alpha=\"0.15\", expect_size=\"13709312\"] \n  26 -> 29 [size =\"13709312\"]\n  26 -> 32 [size =\"13709312\"]\n  27 [size=\"36503552\", alpha=\"0.13\", expect_size=\"18251776\"] \n  27 -> 31 [size =\"18251776\"]\n  28 [size=\"82763776\", alpha=\"0.08\", expect_size=\"41381888\"] \n  28 -> 29 [size =\"41381888\"]\n  28 -> 30 [size =\"41381888\"]\n  28 -> 32 [size =\"41381888\"]\n  29 [size=\"79419392\", alpha=\"0.12\", expect_size=\"39709696\"] \n  30 [size=\"89708544\", alpha=\"0.10\", expect_size=\"44854272\"] \n  30 -> 33 [size =\"44854272\"]\n  31 [size=\"32946176\", alpha=\"0.00\", expect_size=\"16473088\"] \n  32 [size=\"55480320\", alpha=\"0.16\", expect_size=\"27740160\"] \n  32 -> 33 [size =\"27740160\"]\n  33 [size=\"58449920\", alpha=\"0.18\", expect_size=\"29224960\"] \n  33 -> 34 [size =\"29224960\"]\n  33 -> 35 [size =\"29224960\"]\n  33 -> 36 [size =\"29224960\"]\n  34 [size=\"64069632\", alpha=\"0.14\", expect_size=\"32034816\"] \n  34 -> 37 [size =\"32034816\"]\n  34 -> 38 [size =\"32034816\"]\n  35 [size=\"48148480\", alpha=\"0.11\", expect_size=\"24074240\"] \n  35 -> 38 [size =\"24074240\"]\n  36 [size=\"37337088\", alpha=\"0.16\", expect_size=\"18668544\"] \n  37 [size=\"14802944\", alpha=\"0.18\", expect_size=\"7401472\"] \n  37 -> 39 [size =\"7401472\"]\n  37 -> 40 [size =\"7401472\"]\n  38 [size=\"73914368\", alpha=\"0.05\", expect_size=\"36957184\"] \n  38 -> 39 [size =\"36957184\"]\n  38 -> 40 [size =\"36957184\"]\n  38 -> 41 [size =\"36957184\"]\n  39 [size=\"19501056\", alpha=\"0.20\", expect_size=\"9750528\"] \n  39 -> 42 [size =\"9750528\"]\n  40 [size=\"77840384\", alpha=\"0.06\", expect_size=\"38920192\"] \n  40 -> 42 [size =\"38920192\"]\n  41 [size=\"29227008\", alpha=\"0.05\", expect_size=\"14613504\"] \n  42 [size=\"29679616\", alpha=\"0.19\", expect_size=\"14839808\"] \n  42 -> 43 [size =\"14839808\"]\n  42 -> 44 [size =\"14839808\"]\n  43 [size=\"12652544\", alpha=\"0.18\", expect_size=\"6326272\"] \n  44 [size=\"96305152\", alpha=\"0.12\", expect_size=\"48152576\"] \n  44 -> 45 [size =\"48152576\"]\n  45 [size=\"67319808\", alpha=\"0.10\", expect_size=\"33659904\"] \n  45 -> 46 [size =\"33659904\"]\n  45 -> 47 [size =\"33659904\"]\n  45 -> 48 [size =\"33659904\"]\n  45 -> 49 [size =\"33659904\"]\n  46 [size=\"25718784\", alpha=\"0.11\", expect_size=\"12859392\"] \n  47 [size=\"99002368\", alpha=\"0.18\", expect_size=\"49501184\"] \n  47 -> 50 [size =\"49501184\"]\n  48 [size=\"89260032\", alpha=\"0.20\", expect_size=\"44630016\"] \n  48 -> 50 [size =\"44630016\"]\n  49 [size=\"18800640\", alpha=\"0.17\", expect_size=\"9400320\"] \n  50 [size=\"18155520\", alpha=\"0.10\", expect_size=\"9077760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.227.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81486507\", alpha=\"0.10\", expect_size=\"24445952\"] \n  1 -> 14 [size =\"24445952\"]\n  1 -> 20 [size =\"24445952\"]\n  1 -> 22 [size =\"24445952\"]\n  1 -> 24 [size =\"24445952\"]\n  1 -> 29 [size =\"24445952\"]\n  2 [size=\"136587947\", alpha=\"0.19\", expect_size=\"40976384\"] \n  2 -> 15 [size =\"40976384\"]\n  2 -> 17 [size =\"40976384\"]\n  2 -> 20 [size =\"40976384\"]\n  2 -> 23 [size =\"40976384\"]\n  2 -> 24 [size =\"40976384\"]\n  2 -> 25 [size =\"40976384\"]\n  2 -> 29 [size =\"40976384\"]\n  3 [size=\"168601600\", alpha=\"0.12\", expect_size=\"50580480\"] \n  3 -> 14 [size =\"50580480\"]\n  3 -> 16 [size =\"50580480\"]\n  3 -> 18 [size =\"50580480\"]\n  3 -> 20 [size =\"50580480\"]\n  3 -> 22 [size =\"50580480\"]\n  3 -> 24 [size =\"50580480\"]\n  3 -> 25 [size =\"50580480\"]\n  3 -> 26 [size =\"50580480\"]\n  3 -> 27 [size =\"50580480\"]\n  4 [size=\"28258987\", alpha=\"0.09\", expect_size=\"8477696\"] \n  4 -> 22 [size =\"8477696\"]\n  4 -> 24 [size =\"8477696\"]\n  4 -> 25 [size =\"8477696\"]\n  4 -> 26 [size =\"8477696\"]\n  5 [size=\"38922240\", alpha=\"0.07\", expect_size=\"11676672\"] \n  5 -> 16 [size =\"11676672\"]\n  5 -> 18 [size =\"11676672\"]\n  5 -> 20 [size =\"11676672\"]\n  5 -> 21 [size =\"11676672\"]\n  5 -> 24 [size =\"11676672\"]\n  5 -> 28 [size =\"11676672\"]\n  6 [size=\"143875413\", alpha=\"0.01\", expect_size=\"43162624\"] \n  6 -> 20 [size =\"43162624\"]\n  6 -> 25 [size =\"43162624\"]\n  6 -> 26 [size =\"43162624\"]\n  7 [size=\"24627200\", alpha=\"0.08\", expect_size=\"7388160\"] \n  7 -> 15 [size =\"7388160\"]\n  7 -> 16 [size =\"7388160\"]\n  7 -> 22 [size =\"7388160\"]\n  7 -> 23 [size =\"7388160\"]\n  8 [size=\"82503680\", alpha=\"0.17\", expect_size=\"24751104\"] \n  8 -> 15 [size =\"24751104\"]\n  8 -> 16 [size =\"24751104\"]\n  8 -> 22 [size =\"24751104\"]\n  8 -> 26 [size =\"24751104\"]\n  9 [size=\"44151467\", alpha=\"0.14\", expect_size=\"13245440\"] \n  9 -> 14 [size =\"13245440\"]\n  9 -> 18 [size =\"13245440\"]\n  9 -> 27 [size =\"13245440\"]\n  9 -> 28 [size =\"13245440\"]\n  9 -> 29 [size =\"13245440\"]\n  10 [size=\"51773440\", alpha=\"0.07\", expect_size=\"15532032\"] \n  10 -> 14 [size =\"15532032\"]\n  10 -> 15 [size =\"15532032\"]\n  10 -> 16 [size =\"15532032\"]\n  10 -> 29 [size =\"15532032\"]\n  11 [size=\"147698347\", alpha=\"0.08\", expect_size=\"44309504\"] \n  11 -> 14 [size =\"44309504\"]\n  11 -> 16 [size =\"44309504\"]\n  11 -> 19 [size =\"44309504\"]\n  11 -> 23 [size =\"44309504\"]\n  11 -> 25 [size =\"44309504\"]\n  12 [size=\"66116267\", alpha=\"0.15\", expect_size=\"19834880\"] \n  12 -> 14 [size =\"19834880\"]\n  12 -> 15 [size =\"19834880\"]\n  12 -> 16 [size =\"19834880\"]\n  12 -> 23 [size =\"19834880\"]\n  12 -> 24 [size =\"19834880\"]\n  13 [size=\"58108587\", alpha=\"0.14\", expect_size=\"17432576\"] \n  13 -> 15 [size =\"17432576\"]\n  13 -> 16 [size =\"17432576\"]\n  13 -> 20 [size =\"17432576\"]\n  13 -> 22 [size =\"17432576\"]\n  13 -> 23 [size =\"17432576\"]\n  13 -> 24 [size =\"17432576\"]\n  13 -> 27 [size =\"17432576\"]\n  13 -> 28 [size =\"17432576\"]\n  14 [size=\"154644480\", alpha=\"0.07\", expect_size=\"46393344\"] \n  14 -> 33 [size =\"46393344\"]\n  14 -> 34 [size =\"46393344\"]\n  14 -> 36 [size =\"46393344\"]\n  14 -> 39 [size =\"46393344\"]\n  14 -> 41 [size =\"46393344\"]\n  14 -> 42 [size =\"46393344\"]\n  14 -> 44 [size =\"46393344\"]\n  15 [size=\"66310827\", alpha=\"0.10\", expect_size=\"19893248\"] \n  15 -> 32 [size =\"19893248\"]\n  15 -> 33 [size =\"19893248\"]\n  15 -> 34 [size =\"19893248\"]\n  15 -> 36 [size =\"19893248\"]\n  15 -> 39 [size =\"19893248\"]\n  15 -> 41 [size =\"19893248\"]\n  15 -> 42 [size =\"19893248\"]\n  16 [size=\"118995627\", alpha=\"0.14\", expect_size=\"35698688\"] \n  16 -> 33 [size =\"35698688\"]\n  16 -> 36 [size =\"35698688\"]\n  16 -> 40 [size =\"35698688\"]\n  16 -> 41 [size =\"35698688\"]\n  17 [size=\"126416213\", alpha=\"0.08\", expect_size=\"37924864\"] \n  17 -> 32 [size =\"37924864\"]\n  17 -> 41 [size =\"37924864\"]\n  17 -> 43 [size =\"37924864\"]\n  18 [size=\"33996800\", alpha=\"0.01\", expect_size=\"10199040\"] \n  19 [size=\"168202240\", alpha=\"0.08\", expect_size=\"50460672\"] \n  19 -> 30 [size =\"50460672\"]\n  19 -> 31 [size =\"50460672\"]\n  19 -> 32 [size =\"50460672\"]\n  19 -> 33 [size =\"50460672\"]\n  19 -> 34 [size =\"50460672\"]\n  19 -> 42 [size =\"50460672\"]\n  19 -> 43 [size =\"50460672\"]\n  20 [size=\"118910293\", alpha=\"0.13\", expect_size=\"35673088\"] \n  20 -> 31 [size =\"35673088\"]\n  20 -> 33 [size =\"35673088\"]\n  20 -> 36 [size =\"35673088\"]\n  20 -> 37 [size =\"35673088\"]\n  20 -> 41 [size =\"35673088\"]\n  20 -> 42 [size =\"35673088\"]\n  20 -> 44 [size =\"35673088\"]\n  21 [size=\"20097707\", alpha=\"0.06\", expect_size=\"6029312\"] \n  21 -> 37 [size =\"6029312\"]\n  21 -> 44 [size =\"6029312\"]\n  22 [size=\"79540907\", alpha=\"0.14\", expect_size=\"23862272\"] \n  22 -> 30 [size =\"23862272\"]\n  22 -> 33 [size =\"23862272\"]\n  22 -> 36 [size =\"23862272\"]\n  22 -> 42 [size =\"23862272\"]\n  22 -> 43 [size =\"23862272\"]\n  22 -> 44 [size =\"23862272\"]\n  23 [size=\"44086613\", alpha=\"0.01\", expect_size=\"13225984\"] \n  23 -> 33 [size =\"13225984\"]\n  23 -> 39 [size =\"13225984\"]\n  23 -> 44 [size =\"13225984\"]\n  24 [size=\"150633813\", alpha=\"0.09\", expect_size=\"45190144\"] \n  24 -> 31 [size =\"45190144\"]\n  24 -> 32 [size =\"45190144\"]\n  24 -> 33 [size =\"45190144\"]\n  24 -> 39 [size =\"45190144\"]\n  24 -> 40 [size =\"45190144\"]\n  24 -> 42 [size =\"45190144\"]\n  24 -> 44 [size =\"45190144\"]\n  25 [size=\"45134507\", alpha=\"0.01\", expect_size=\"13540352\"] \n  25 -> 32 [size =\"13540352\"]\n  25 -> 33 [size =\"13540352\"]\n  25 -> 34 [size =\"13540352\"]\n  26 [size=\"123958613\", alpha=\"0.08\", expect_size=\"37187584\"] \n  26 -> 31 [size =\"37187584\"]\n  26 -> 39 [size =\"37187584\"]\n  26 -> 41 [size =\"37187584\"]\n  26 -> 43 [size =\"37187584\"]\n  27 [size=\"75973973\", alpha=\"0.16\", expect_size=\"22792192\"] \n  27 -> 31 [size =\"22792192\"]\n  27 -> 33 [size =\"22792192\"]\n  27 -> 36 [size =\"22792192\"]\n  27 -> 38 [size =\"22792192\"]\n  27 -> 39 [size =\"22792192\"]\n  27 -> 42 [size =\"22792192\"]\n  27 -> 43 [size =\"22792192\"]\n  27 -> 44 [size =\"22792192\"]\n  28 [size=\"136942933\", alpha=\"0.13\", expect_size=\"41082880\"] \n  28 -> 32 [size =\"41082880\"]\n  28 -> 35 [size =\"41082880\"]\n  28 -> 37 [size =\"41082880\"]\n  28 -> 39 [size =\"41082880\"]\n  28 -> 41 [size =\"41082880\"]\n  29 [size=\"143308800\", alpha=\"0.13\", expect_size=\"42992640\"] \n  29 -> 34 [size =\"42992640\"]\n  29 -> 41 [size =\"42992640\"]\n  29 -> 44 [size =\"42992640\"]\n  30 [size=\"50432000\", alpha=\"0.17\", expect_size=\"15129600\"] \n  30 -> 47 [size =\"15129600\"]\n  30 -> 49 [size =\"15129600\"]\n  30 -> 50 [size =\"15129600\"]\n  31 [size=\"151579307\", alpha=\"0.18\", expect_size=\"45473792\"] \n  31 -> 45 [size =\"45473792\"]\n  31 -> 47 [size =\"45473792\"]\n  32 [size=\"38905173\", alpha=\"0.05\", expect_size=\"11671552\"] \n  32 -> 45 [size =\"11671552\"]\n  32 -> 47 [size =\"11671552\"]\n  32 -> 48 [size =\"11671552\"]\n  32 -> 49 [size =\"11671552\"]\n  33 [size=\"146097493\", alpha=\"0.17\", expect_size=\"43829248\"] \n  33 -> 47 [size =\"43829248\"]\n  34 [size=\"152422400\", alpha=\"0.07\", expect_size=\"45726720\"] \n  34 -> 47 [size =\"45726720\"]\n  35 [size=\"68666027\", alpha=\"0.02\", expect_size=\"20599808\"] \n  35 -> 48 [size =\"20599808\"]\n  36 [size=\"73560747\", alpha=\"0.11\", expect_size=\"22068224\"] \n  36 -> 45 [size =\"22068224\"]\n  36 -> 48 [size =\"22068224\"]\n  36 -> 49 [size =\"22068224\"]\n  37 [size=\"136219307\", alpha=\"0.14\", expect_size=\"40865792\"] \n  37 -> 45 [size =\"40865792\"]\n  37 -> 48 [size =\"40865792\"]\n  37 -> 49 [size =\"40865792\"]\n  38 [size=\"106509653\", alpha=\"0.19\", expect_size=\"31952896\"] \n  38 -> 45 [size =\"31952896\"]\n  38 -> 49 [size =\"31952896\"]\n  39 [size=\"49462613\", alpha=\"0.02\", expect_size=\"14838784\"] \n  39 -> 45 [size =\"14838784\"]\n  39 -> 46 [size =\"14838784\"]\n  40 [size=\"149036373\", alpha=\"0.19\", expect_size=\"44710912\"] \n  40 -> 45 [size =\"44710912\"]\n  40 -> 49 [size =\"44710912\"]\n  41 [size=\"124962133\", alpha=\"0.16\", expect_size=\"37488640\"] \n  41 -> 45 [size =\"37488640\"]\n  41 -> 47 [size =\"37488640\"]\n  41 -> 49 [size =\"37488640\"]\n  41 -> 50 [size =\"37488640\"]\n  42 [size=\"107465387\", alpha=\"0.01\", expect_size=\"32239616\"] \n  42 -> 46 [size =\"32239616\"]\n  42 -> 47 [size =\"32239616\"]\n  42 -> 48 [size =\"32239616\"]\n  43 [size=\"145179307\", alpha=\"0.10\", expect_size=\"43553792\"] \n  43 -> 45 [size =\"43553792\"]\n  43 -> 46 [size =\"43553792\"]\n  43 -> 47 [size =\"43553792\"]\n  43 -> 49 [size =\"43553792\"]\n  43 -> 50 [size =\"43553792\"]\n  44 [size=\"121460053\", alpha=\"0.15\", expect_size=\"36438016\"] \n  44 -> 47 [size =\"36438016\"]\n  45 [size=\"173472427\", alpha=\"0.04\", expect_size=\"52041728\"] \n  46 [size=\"35481600\", alpha=\"0.06\", expect_size=\"10644480\"] \n  47 [size=\"123583147\", alpha=\"0.16\", expect_size=\"37074944\"] \n  48 [size=\"74854400\", alpha=\"0.01\", expect_size=\"22456320\"] \n  49 [size=\"63109120\", alpha=\"0.02\", expect_size=\"18932736\"] \n  50 [size=\"81786880\", alpha=\"0.07\", expect_size=\"24536064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.228.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104791040\", alpha=\"0.14\", expect_size=\"41916416\"] \n  1 -> 13 [size =\"41916416\"]\n  1 -> 14 [size =\"41916416\"]\n  1 -> 15 [size =\"41916416\"]\n  1 -> 17 [size =\"41916416\"]\n  1 -> 18 [size =\"41916416\"]\n  1 -> 23 [size =\"41916416\"]\n  1 -> 24 [size =\"41916416\"]\n  2 [size=\"113379840\", alpha=\"0.02\", expect_size=\"45351936\"] \n  2 -> 14 [size =\"45351936\"]\n  2 -> 17 [size =\"45351936\"]\n  2 -> 18 [size =\"45351936\"]\n  2 -> 19 [size =\"45351936\"]\n  2 -> 24 [size =\"45351936\"]\n  3 [size=\"129070080\", alpha=\"0.18\", expect_size=\"51628032\"] \n  3 -> 16 [size =\"51628032\"]\n  3 -> 17 [size =\"51628032\"]\n  3 -> 18 [size =\"51628032\"]\n  3 -> 20 [size =\"51628032\"]\n  3 -> 22 [size =\"51628032\"]\n  3 -> 26 [size =\"51628032\"]\n  3 -> 27 [size =\"51628032\"]\n  4 [size=\"33876480\", alpha=\"0.17\", expect_size=\"13550592\"] \n  4 -> 15 [size =\"13550592\"]\n  4 -> 18 [size =\"13550592\"]\n  4 -> 19 [size =\"13550592\"]\n  4 -> 20 [size =\"13550592\"]\n  4 -> 22 [size =\"13550592\"]\n  4 -> 24 [size =\"13550592\"]\n  4 -> 26 [size =\"13550592\"]\n  4 -> 27 [size =\"13550592\"]\n  5 [size=\"13626880\", alpha=\"0.05\", expect_size=\"5450752\"] \n  5 -> 15 [size =\"5450752\"]\n  5 -> 16 [size =\"5450752\"]\n  5 -> 17 [size =\"5450752\"]\n  5 -> 19 [size =\"5450752\"]\n  5 -> 20 [size =\"5450752\"]\n  5 -> 23 [size =\"5450752\"]\n  5 -> 24 [size =\"5450752\"]\n  5 -> 26 [size =\"5450752\"]\n  6 [size=\"28820480\", alpha=\"0.13\", expect_size=\"11528192\"] \n  6 -> 14 [size =\"11528192\"]\n  6 -> 16 [size =\"11528192\"]\n  6 -> 20 [size =\"11528192\"]\n  6 -> 23 [size =\"11528192\"]\n  6 -> 25 [size =\"11528192\"]\n  6 -> 26 [size =\"11528192\"]\n  6 -> 27 [size =\"11528192\"]\n  6 -> 28 [size =\"11528192\"]\n  7 [size=\"126149120\", alpha=\"0.08\", expect_size=\"50459648\"] \n  7 -> 14 [size =\"50459648\"]\n  7 -> 18 [size =\"50459648\"]\n  7 -> 21 [size =\"50459648\"]\n  7 -> 22 [size =\"50459648\"]\n  7 -> 23 [size =\"50459648\"]\n  7 -> 27 [size =\"50459648\"]\n  7 -> 28 [size =\"50459648\"]\n  8 [size=\"58019840\", alpha=\"0.15\", expect_size=\"23207936\"] \n  8 -> 16 [size =\"23207936\"]\n  8 -> 18 [size =\"23207936\"]\n  8 -> 20 [size =\"23207936\"]\n  8 -> 21 [size =\"23207936\"]\n  8 -> 22 [size =\"23207936\"]\n  8 -> 23 [size =\"23207936\"]\n  9 [size=\"56181760\", alpha=\"0.09\", expect_size=\"22472704\"] \n  9 -> 17 [size =\"22472704\"]\n  9 -> 18 [size =\"22472704\"]\n  9 -> 21 [size =\"22472704\"]\n  9 -> 22 [size =\"22472704\"]\n  9 -> 23 [size =\"22472704\"]\n  9 -> 24 [size =\"22472704\"]\n  9 -> 25 [size =\"22472704\"]\n  9 -> 28 [size =\"22472704\"]\n  10 [size=\"87715840\", alpha=\"0.14\", expect_size=\"35086336\"] \n  10 -> 16 [size =\"35086336\"]\n  10 -> 17 [size =\"35086336\"]\n  10 -> 20 [size =\"35086336\"]\n  10 -> 23 [size =\"35086336\"]\n  10 -> 24 [size =\"35086336\"]\n  10 -> 27 [size =\"35086336\"]\n  11 [size=\"58529280\", alpha=\"0.13\", expect_size=\"23411712\"] \n  11 -> 15 [size =\"23411712\"]\n  11 -> 16 [size =\"23411712\"]\n  11 -> 17 [size =\"23411712\"]\n  11 -> 18 [size =\"23411712\"]\n  11 -> 21 [size =\"23411712\"]\n  11 -> 22 [size =\"23411712\"]\n  11 -> 23 [size =\"23411712\"]\n  11 -> 27 [size =\"23411712\"]\n  12 [size=\"23887360\", alpha=\"0.14\", expect_size=\"9554944\"] \n  12 -> 15 [size =\"9554944\"]\n  12 -> 17 [size =\"9554944\"]\n  12 -> 17 [size =\"9554944\"]\n  12 -> 19 [size =\"9554944\"]\n  12 -> 20 [size =\"9554944\"]\n  12 -> 21 [size =\"9554944\"]\n  12 -> 22 [size =\"9554944\"]\n  12 -> 23 [size =\"9554944\"]\n  12 -> 27 [size =\"9554944\"]\n  13 [size=\"38272000\", alpha=\"0.08\", expect_size=\"15308800\"] \n  13 -> 32 [size =\"15308800\"]\n  13 -> 40 [size =\"15308800\"]\n  14 [size=\"28897280\", alpha=\"0.01\", expect_size=\"11558912\"] \n  14 -> 32 [size =\"11558912\"]\n  14 -> 38 [size =\"11558912\"]\n  15 [size=\"130654720\", alpha=\"0.05\", expect_size=\"52261888\"] \n  15 -> 30 [size =\"52261888\"]\n  15 -> 31 [size =\"52261888\"]\n  15 -> 34 [size =\"52261888\"]\n  15 -> 36 [size =\"52261888\"]\n  15 -> 38 [size =\"52261888\"]\n  16 [size=\"39503360\", alpha=\"0.02\", expect_size=\"15801344\"] \n  16 -> 31 [size =\"15801344\"]\n  16 -> 32 [size =\"15801344\"]\n  16 -> 34 [size =\"15801344\"]\n  16 -> 36 [size =\"15801344\"]\n  16 -> 37 [size =\"15801344\"]\n  16 -> 38 [size =\"15801344\"]\n  16 -> 41 [size =\"15801344\"]\n  17 [size=\"117675520\", alpha=\"0.11\", expect_size=\"47070208\"] \n  17 -> 29 [size =\"47070208\"]\n  17 -> 32 [size =\"47070208\"]\n  17 -> 36 [size =\"47070208\"]\n  17 -> 36 [size =\"47070208\"]\n  17 -> 37 [size =\"47070208\"]\n  17 -> 38 [size =\"47070208\"]\n  17 -> 40 [size =\"47070208\"]\n  18 [size=\"44531200\", alpha=\"0.12\", expect_size=\"17812480\"] \n  18 -> 32 [size =\"17812480\"]\n  18 -> 34 [size =\"17812480\"]\n  18 -> 36 [size =\"17812480\"]\n  18 -> 37 [size =\"17812480\"]\n  18 -> 38 [size =\"17812480\"]\n  18 -> 38 [size =\"17812480\"]\n  18 -> 41 [size =\"17812480\"]\n  19 [size=\"15518720\", alpha=\"0.13\", expect_size=\"6207488\"] \n  19 -> 32 [size =\"6207488\"]\n  19 -> 34 [size =\"6207488\"]\n  19 -> 36 [size =\"6207488\"]\n  19 -> 39 [size =\"6207488\"]\n  19 -> 40 [size =\"6207488\"]\n  20 [size=\"66268160\", alpha=\"0.07\", expect_size=\"26507264\"] \n  20 -> 30 [size =\"26507264\"]\n  20 -> 31 [size =\"26507264\"]\n  20 -> 34 [size =\"26507264\"]\n  20 -> 36 [size =\"26507264\"]\n  20 -> 37 [size =\"26507264\"]\n  20 -> 40 [size =\"26507264\"]\n  21 [size=\"33548800\", alpha=\"0.16\", expect_size=\"13419520\"] \n  21 -> 29 [size =\"13419520\"]\n  21 -> 31 [size =\"13419520\"]\n  21 -> 33 [size =\"13419520\"]\n  21 -> 34 [size =\"13419520\"]\n  21 -> 38 [size =\"13419520\"]\n  21 -> 40 [size =\"13419520\"]\n  21 -> 41 [size =\"13419520\"]\n  22 [size=\"112908800\", alpha=\"0.03\", expect_size=\"45163520\"] \n  22 -> 30 [size =\"45163520\"]\n  22 -> 31 [size =\"45163520\"]\n  22 -> 34 [size =\"45163520\"]\n  22 -> 36 [size =\"45163520\"]\n  22 -> 38 [size =\"45163520\"]\n  22 -> 41 [size =\"45163520\"]\n  23 [size=\"75525120\", alpha=\"0.09\", expect_size=\"30210048\"] \n  23 -> 35 [size =\"30210048\"]\n  23 -> 38 [size =\"30210048\"]\n  23 -> 41 [size =\"30210048\"]\n  24 [size=\"124241920\", alpha=\"0.18\", expect_size=\"49696768\"] \n  24 -> 32 [size =\"49696768\"]\n  24 -> 34 [size =\"49696768\"]\n  24 -> 37 [size =\"49696768\"]\n  24 -> 38 [size =\"49696768\"]\n  24 -> 41 [size =\"49696768\"]\n  25 [size=\"130360320\", alpha=\"0.08\", expect_size=\"52144128\"] \n  25 -> 29 [size =\"52144128\"]\n  25 -> 32 [size =\"52144128\"]\n  25 -> 38 [size =\"52144128\"]\n  25 -> 39 [size =\"52144128\"]\n  25 -> 41 [size =\"52144128\"]\n  26 [size=\"42695680\", alpha=\"0.01\", expect_size=\"17078272\"] \n  26 -> 30 [size =\"17078272\"]\n  26 -> 39 [size =\"17078272\"]\n  26 -> 41 [size =\"17078272\"]\n  27 [size=\"54584320\", alpha=\"0.12\", expect_size=\"21833728\"] \n  27 -> 36 [size =\"21833728\"]\n  27 -> 41 [size =\"21833728\"]\n  27 -> 41 [size =\"21833728\"]\n  28 [size=\"118545920\", alpha=\"0.12\", expect_size=\"47418368\"] \n  28 -> 36 [size =\"47418368\"]\n  28 -> 40 [size =\"47418368\"]\n  29 [size=\"73991680\", alpha=\"0.18\", expect_size=\"29596672\"] \n  29 -> 42 [size =\"29596672\"]\n  29 -> 44 [size =\"29596672\"]\n  29 -> 48 [size =\"29596672\"]\n  29 -> 49 [size =\"29596672\"]\n  30 [size=\"30136320\", alpha=\"0.17\", expect_size=\"12054528\"] \n  30 -> 45 [size =\"12054528\"]\n  30 -> 48 [size =\"12054528\"]\n  30 -> 48 [size =\"12054528\"]\n  31 [size=\"68677120\", alpha=\"0.04\", expect_size=\"27470848\"] \n  31 -> 42 [size =\"27470848\"]\n  31 -> 43 [size =\"27470848\"]\n  31 -> 44 [size =\"27470848\"]\n  31 -> 48 [size =\"27470848\"]\n  32 [size=\"45370880\", alpha=\"0.13\", expect_size=\"18148352\"] \n  32 -> 43 [size =\"18148352\"]\n  32 -> 44 [size =\"18148352\"]\n  32 -> 45 [size =\"18148352\"]\n  32 -> 50 [size =\"18148352\"]\n  33 [size=\"60487680\", alpha=\"0.06\", expect_size=\"24195072\"] \n  33 -> 43 [size =\"24195072\"]\n  33 -> 44 [size =\"24195072\"]\n  33 -> 45 [size =\"24195072\"]\n  34 [size=\"112028160\", alpha=\"0.01\", expect_size=\"44811264\"] \n  34 -> 44 [size =\"44811264\"]\n  35 [size=\"102799360\", alpha=\"0.17\", expect_size=\"41119744\"] \n  35 -> 43 [size =\"41119744\"]\n  35 -> 44 [size =\"41119744\"]\n  35 -> 46 [size =\"41119744\"]\n  35 -> 47 [size =\"41119744\"]\n  35 -> 48 [size =\"41119744\"]\n  35 -> 49 [size =\"41119744\"]\n  36 [size=\"33323520\", alpha=\"0.17\", expect_size=\"13329408\"] \n  36 -> 42 [size =\"13329408\"]\n  36 -> 43 [size =\"13329408\"]\n  36 -> 44 [size =\"13329408\"]\n  36 -> 48 [size =\"13329408\"]\n  37 [size=\"37273600\", alpha=\"0.15\", expect_size=\"14909440\"] \n  37 -> 43 [size =\"14909440\"]\n  37 -> 46 [size =\"14909440\"]\n  38 [size=\"109734400\", alpha=\"0.18\", expect_size=\"43893760\"] \n  38 -> 43 [size =\"43893760\"]\n  38 -> 45 [size =\"43893760\"]\n  38 -> 49 [size =\"43893760\"]\n  39 [size=\"59688960\", alpha=\"0.02\", expect_size=\"23875584\"] \n  39 -> 43 [size =\"23875584\"]\n  39 -> 44 [size =\"23875584\"]\n  40 [size=\"48176640\", alpha=\"0.14\", expect_size=\"19270656\"] \n  40 -> 42 [size =\"19270656\"]\n  40 -> 48 [size =\"19270656\"]\n  41 [size=\"31843840\", alpha=\"0.10\", expect_size=\"12737536\"] \n  41 -> 42 [size =\"12737536\"]\n  41 -> 43 [size =\"12737536\"]\n  41 -> 48 [size =\"12737536\"]\n  42 [size=\"56117760\", alpha=\"0.03\", expect_size=\"22447104\"] \n  43 [size=\"13811200\", alpha=\"0.07\", expect_size=\"5524480\"] \n  44 [size=\"48053760\", alpha=\"0.09\", expect_size=\"19221504\"] \n  45 [size=\"56673280\", alpha=\"0.11\", expect_size=\"22669312\"] \n  46 [size=\"39257600\", alpha=\"0.18\", expect_size=\"15703040\"] \n  47 [size=\"22197760\", alpha=\"0.13\", expect_size=\"8879104\"] \n  48 [size=\"110069760\", alpha=\"0.05\", expect_size=\"44027904\"] \n  49 [size=\"98362880\", alpha=\"0.07\", expect_size=\"39345152\"] \n  50 [size=\"107461120\", alpha=\"0.13\", expect_size=\"42984448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.229.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26967040\", alpha=\"0.20\", expect_size=\"10786816\"] \n  1 -> 7 [size =\"10786816\"]\n  1 -> 9 [size =\"10786816\"]\n  1 -> 10 [size =\"10786816\"]\n  1 -> 12 [size =\"10786816\"]\n  1 -> 13 [size =\"10786816\"]\n  2 [size=\"18903040\", alpha=\"0.06\", expect_size=\"7561216\"] \n  2 -> 7 [size =\"7561216\"]\n  2 -> 9 [size =\"7561216\"]\n  2 -> 10 [size =\"7561216\"]\n  2 -> 11 [size =\"7561216\"]\n  2 -> 12 [size =\"7561216\"]\n  2 -> 13 [size =\"7561216\"]\n  3 [size=\"85859840\", alpha=\"0.17\", expect_size=\"34343936\"] \n  3 -> 7 [size =\"34343936\"]\n  3 -> 8 [size =\"34343936\"]\n  3 -> 9 [size =\"34343936\"]\n  3 -> 11 [size =\"34343936\"]\n  3 -> 12 [size =\"34343936\"]\n  4 [size=\"39918080\", alpha=\"0.09\", expect_size=\"15967232\"] \n  4 -> 7 [size =\"15967232\"]\n  4 -> 8 [size =\"15967232\"]\n  4 -> 10 [size =\"15967232\"]\n  4 -> 11 [size =\"15967232\"]\n  4 -> 12 [size =\"15967232\"]\n  5 [size=\"128865280\", alpha=\"0.07\", expect_size=\"51546112\"] \n  5 -> 7 [size =\"51546112\"]\n  5 -> 8 [size =\"51546112\"]\n  5 -> 11 [size =\"51546112\"]\n  5 -> 11 [size =\"51546112\"]\n  5 -> 12 [size =\"51546112\"]\n  6 [size=\"33761280\", alpha=\"0.17\", expect_size=\"13504512\"] \n  6 -> 8 [size =\"13504512\"]\n  6 -> 8 [size =\"13504512\"]\n  6 -> 10 [size =\"13504512\"]\n  6 -> 11 [size =\"13504512\"]\n  7 [size=\"129850880\", alpha=\"0.01\", expect_size=\"51940352\"] \n  7 -> 14 [size =\"51940352\"]\n  7 -> 17 [size =\"51940352\"]\n  7 -> 18 [size =\"51940352\"]\n  7 -> 19 [size =\"51940352\"]\n  8 [size=\"86484480\", alpha=\"0.11\", expect_size=\"34593792\"] \n  8 -> 17 [size =\"34593792\"]\n  8 -> 19 [size =\"34593792\"]\n  9 [size=\"29486080\", alpha=\"0.08\", expect_size=\"11794432\"] \n  9 -> 14 [size =\"11794432\"]\n  9 -> 15 [size =\"11794432\"]\n  9 -> 17 [size =\"11794432\"]\n  10 [size=\"105356800\", alpha=\"0.17\", expect_size=\"42142720\"] \n  10 -> 14 [size =\"42142720\"]\n  10 -> 16 [size =\"42142720\"]\n  10 -> 17 [size =\"42142720\"]\n  10 -> 19 [size =\"42142720\"]\n  11 [size=\"39016960\", alpha=\"0.03\", expect_size=\"15606784\"] \n  11 -> 14 [size =\"15606784\"]\n  11 -> 17 [size =\"15606784\"]\n  12 [size=\"38919680\", alpha=\"0.07\", expect_size=\"15567872\"] \n  12 -> 14 [size =\"15567872\"]\n  12 -> 15 [size =\"15567872\"]\n  12 -> 19 [size =\"15567872\"]\n  13 [size=\"71526400\", alpha=\"0.13\", expect_size=\"28610560\"] \n  13 -> 15 [size =\"28610560\"]\n  13 -> 16 [size =\"28610560\"]\n  13 -> 19 [size =\"28610560\"]\n  14 [size=\"55472640\", alpha=\"0.05\", expect_size=\"22189056\"] \n  14 -> 21 [size =\"22189056\"]\n  14 -> 22 [size =\"22189056\"]\n  14 -> 23 [size =\"22189056\"]\n  14 -> 25 [size =\"22189056\"]\n  14 -> 26 [size =\"22189056\"]\n  15 [size=\"108861440\", alpha=\"0.10\", expect_size=\"43544576\"] \n  15 -> 20 [size =\"43544576\"]\n  15 -> 21 [size =\"43544576\"]\n  15 -> 22 [size =\"43544576\"]\n  15 -> 24 [size =\"43544576\"]\n  16 [size=\"33236480\", alpha=\"0.07\", expect_size=\"13294592\"] \n  16 -> 21 [size =\"13294592\"]\n  16 -> 22 [size =\"13294592\"]\n  16 -> 22 [size =\"13294592\"]\n  16 -> 23 [size =\"13294592\"]\n  16 -> 25 [size =\"13294592\"]\n  16 -> 26 [size =\"13294592\"]\n  17 [size=\"13593600\", alpha=\"0.09\", expect_size=\"5437440\"] \n  17 -> 20 [size =\"5437440\"]\n  17 -> 22 [size =\"5437440\"]\n  17 -> 23 [size =\"5437440\"]\n  17 -> 26 [size =\"5437440\"]\n  18 [size=\"18695680\", alpha=\"0.02\", expect_size=\"7478272\"] \n  18 -> 21 [size =\"7478272\"]\n  18 -> 23 [size =\"7478272\"]\n  18 -> 24 [size =\"7478272\"]\n  18 -> 26 [size =\"7478272\"]\n  19 [size=\"80734720\", alpha=\"0.03\", expect_size=\"32293888\"] \n  19 -> 21 [size =\"32293888\"]\n  19 -> 22 [size =\"32293888\"]\n  19 -> 24 [size =\"32293888\"]\n  19 -> 25 [size =\"32293888\"]\n  20 [size=\"129917440\", alpha=\"0.12\", expect_size=\"51966976\"] \n  20 -> 27 [size =\"51966976\"]\n  20 -> 29 [size =\"51966976\"]\n  20 -> 31 [size =\"51966976\"]\n  20 -> 31 [size =\"51966976\"]\n  20 -> 33 [size =\"51966976\"]\n  21 [size=\"111408640\", alpha=\"0.03\", expect_size=\"44563456\"] \n  21 -> 29 [size =\"44563456\"]\n  21 -> 29 [size =\"44563456\"]\n  21 -> 31 [size =\"44563456\"]\n  21 -> 32 [size =\"44563456\"]\n  22 [size=\"126940160\", alpha=\"0.15\", expect_size=\"50776064\"] \n  22 -> 29 [size =\"50776064\"]\n  22 -> 31 [size =\"50776064\"]\n  23 [size=\"50426880\", alpha=\"0.19\", expect_size=\"20170752\"] \n  23 -> 28 [size =\"20170752\"]\n  23 -> 33 [size =\"20170752\"]\n  24 [size=\"124633600\", alpha=\"0.08\", expect_size=\"49853440\"] \n  24 -> 27 [size =\"49853440\"]\n  24 -> 29 [size =\"49853440\"]\n  24 -> 30 [size =\"49853440\"]\n  24 -> 32 [size =\"49853440\"]\n  24 -> 33 [size =\"49853440\"]\n  25 [size=\"34698240\", alpha=\"0.17\", expect_size=\"13879296\"] \n  25 -> 27 [size =\"13879296\"]\n  25 -> 29 [size =\"13879296\"]\n  25 -> 31 [size =\"13879296\"]\n  25 -> 33 [size =\"13879296\"]\n  25 -> 33 [size =\"13879296\"]\n  26 [size=\"93967360\", alpha=\"0.09\", expect_size=\"37586944\"] \n  26 -> 27 [size =\"37586944\"]\n  26 -> 29 [size =\"37586944\"]\n  26 -> 30 [size =\"37586944\"]\n  26 -> 31 [size =\"37586944\"]\n  26 -> 33 [size =\"37586944\"]\n  27 [size=\"15375360\", alpha=\"0.01\", expect_size=\"6150144\"] \n  27 -> 34 [size =\"6150144\"]\n  27 -> 38 [size =\"6150144\"]\n  27 -> 39 [size =\"6150144\"]\n  28 [size=\"70732800\", alpha=\"0.05\", expect_size=\"28293120\"] \n  28 -> 34 [size =\"28293120\"]\n  28 -> 36 [size =\"28293120\"]\n  28 -> 37 [size =\"28293120\"]\n  28 -> 38 [size =\"28293120\"]\n  29 [size=\"84858880\", alpha=\"0.12\", expect_size=\"33943552\"] \n  29 -> 34 [size =\"33943552\"]\n  29 -> 37 [size =\"33943552\"]\n  29 -> 38 [size =\"33943552\"]\n  29 -> 38 [size =\"33943552\"]\n  30 [size=\"104348160\", alpha=\"0.15\", expect_size=\"41739264\"] \n  30 -> 34 [size =\"41739264\"]\n  30 -> 35 [size =\"41739264\"]\n  30 -> 37 [size =\"41739264\"]\n  30 -> 38 [size =\"41739264\"]\n  31 [size=\"57072640\", alpha=\"0.02\", expect_size=\"22829056\"] \n  31 -> 34 [size =\"22829056\"]\n  31 -> 35 [size =\"22829056\"]\n  31 -> 38 [size =\"22829056\"]\n  31 -> 39 [size =\"22829056\"]\n  32 [size=\"74859520\", alpha=\"0.13\", expect_size=\"29943808\"] \n  32 -> 34 [size =\"29943808\"]\n  32 -> 35 [size =\"29943808\"]\n  32 -> 36 [size =\"29943808\"]\n  32 -> 37 [size =\"29943808\"]\n  32 -> 39 [size =\"29943808\"]\n  33 [size=\"45537280\", alpha=\"0.14\", expect_size=\"18214912\"] \n  33 -> 34 [size =\"18214912\"]\n  33 -> 38 [size =\"18214912\"]\n  33 -> 39 [size =\"18214912\"]\n  34 [size=\"41861120\", alpha=\"0.03\", expect_size=\"16744448\"] \n  34 -> 40 [size =\"16744448\"]\n  34 -> 42 [size =\"16744448\"]\n  34 -> 43 [size =\"16744448\"]\n  34 -> 44 [size =\"16744448\"]\n  35 [size=\"90641920\", alpha=\"0.08\", expect_size=\"36256768\"] \n  35 -> 41 [size =\"36256768\"]\n  35 -> 42 [size =\"36256768\"]\n  35 -> 44 [size =\"36256768\"]\n  36 [size=\"71710720\", alpha=\"0.16\", expect_size=\"28684288\"] \n  36 -> 43 [size =\"28684288\"]\n  36 -> 44 [size =\"28684288\"]\n  37 [size=\"123688960\", alpha=\"0.04\", expect_size=\"49475584\"] \n  37 -> 40 [size =\"49475584\"]\n  37 -> 44 [size =\"49475584\"]\n  37 -> 45 [size =\"49475584\"]\n  38 [size=\"127388160\", alpha=\"0.13\", expect_size=\"50955264\"] \n  38 -> 41 [size =\"50955264\"]\n  38 -> 42 [size =\"50955264\"]\n  38 -> 44 [size =\"50955264\"]\n  39 [size=\"38225920\", alpha=\"0.14\", expect_size=\"15290368\"] \n  39 -> 40 [size =\"15290368\"]\n  39 -> 41 [size =\"15290368\"]\n  39 -> 42 [size =\"15290368\"]\n  39 -> 44 [size =\"15290368\"]\n  39 -> 45 [size =\"15290368\"]\n  40 [size=\"108510720\", alpha=\"0.15\", expect_size=\"43404288\"] \n  40 -> 49 [size =\"43404288\"]\n  40 -> 50 [size =\"43404288\"]\n  41 [size=\"76597760\", alpha=\"0.12\", expect_size=\"30639104\"] \n  41 -> 46 [size =\"30639104\"]\n  41 -> 47 [size =\"30639104\"]\n  42 [size=\"86364160\", alpha=\"0.08\", expect_size=\"34545664\"] \n  42 -> 46 [size =\"34545664\"]\n  42 -> 48 [size =\"34545664\"]\n  43 [size=\"45662720\", alpha=\"0.11\", expect_size=\"18265088\"] \n  43 -> 46 [size =\"18265088\"]\n  43 -> 48 [size =\"18265088\"]\n  44 [size=\"130874880\", alpha=\"0.13\", expect_size=\"52349952\"] \n  44 -> 48 [size =\"52349952\"]\n  45 [size=\"30474240\", alpha=\"0.18\", expect_size=\"12189696\"] \n  45 -> 48 [size =\"12189696\"]\n  45 -> 50 [size =\"12189696\"]\n  46 [size=\"76147200\", alpha=\"0.17\", expect_size=\"30458880\"] \n  47 [size=\"52093440\", alpha=\"0.16\", expect_size=\"20837376\"] \n  48 [size=\"76769280\", alpha=\"0.06\", expect_size=\"30707712\"] \n  49 [size=\"37798400\", alpha=\"0.07\", expect_size=\"15119360\"] \n  50 [size=\"120770560\", alpha=\"0.04\", expect_size=\"48308224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68694016\", alpha=\"0.03\", expect_size=\"34347008\"] \n  1 -> 5 [size =\"34347008\"]\n  1 -> 6 [size =\"34347008\"]\n  2 [size=\"101883904\", alpha=\"0.05\", expect_size=\"50941952\"] \n  3 [size=\"96602112\", alpha=\"0.05\", expect_size=\"48301056\"] \n  3 -> 5 [size =\"48301056\"]\n  4 [size=\"58914816\", alpha=\"0.06\", expect_size=\"29457408\"] \n  4 -> 5 [size =\"29457408\"]\n  5 [size=\"49352704\", alpha=\"0.16\", expect_size=\"24676352\"] \n  5 -> 7 [size =\"24676352\"]\n  5 -> 8 [size =\"24676352\"]\n  6 [size=\"23726080\", alpha=\"0.07\", expect_size=\"11863040\"] \n  6 -> 7 [size =\"11863040\"]\n  6 -> 8 [size =\"11863040\"]\n  7 [size=\"46790656\", alpha=\"0.17\", expect_size=\"23395328\"] \n  7 -> 9 [size =\"23395328\"]\n  7 -> 11 [size =\"23395328\"]\n  8 [size=\"53172224\", alpha=\"0.11\", expect_size=\"26586112\"] \n  8 -> 9 [size =\"26586112\"]\n  8 -> 10 [size =\"26586112\"]\n  9 [size=\"32065536\", alpha=\"0.04\", expect_size=\"16032768\"] \n  10 [size=\"85704704\", alpha=\"0.19\", expect_size=\"42852352\"] \n  11 [size=\"58284032\", alpha=\"0.07\", expect_size=\"29142016\"] \n  11 -> 12 [size =\"29142016\"]\n  12 [size=\"74065920\", alpha=\"0.03\", expect_size=\"37032960\"] \n  12 -> 13 [size =\"37032960\"]\n  12 -> 14 [size =\"37032960\"]\n  12 -> 15 [size =\"37032960\"]\n  13 [size=\"99139584\", alpha=\"0.17\", expect_size=\"49569792\"] \n  13 -> 16 [size =\"49569792\"]\n  14 [size=\"27475968\", alpha=\"0.08\", expect_size=\"13737984\"] \n  14 -> 17 [size =\"13737984\"]\n  15 [size=\"56649728\", alpha=\"0.03\", expect_size=\"28324864\"] \n  15 -> 16 [size =\"28324864\"]\n  15 -> 17 [size =\"28324864\"]\n  16 [size=\"38365184\", alpha=\"0.20\", expect_size=\"19182592\"] \n  16 -> 18 [size =\"19182592\"]\n  16 -> 19 [size =\"19182592\"]\n  16 -> 20 [size =\"19182592\"]\n  17 [size=\"70092800\", alpha=\"0.11\", expect_size=\"35046400\"] \n  17 -> 18 [size =\"35046400\"]\n  18 [size=\"58068992\", alpha=\"0.13\", expect_size=\"29034496\"] \n  18 -> 22 [size =\"29034496\"]\n  18 -> 23 [size =\"29034496\"]\n  19 [size=\"17891328\", alpha=\"0.10\", expect_size=\"8945664\"] \n  19 -> 21 [size =\"8945664\"]\n  20 [size=\"35205120\", alpha=\"0.03\", expect_size=\"17602560\"] \n  20 -> 21 [size =\"17602560\"]\n  20 -> 22 [size =\"17602560\"]\n  20 -> 23 [size =\"17602560\"]\n  21 [size=\"32741376\", alpha=\"0.09\", expect_size=\"16370688\"] \n  21 -> 24 [size =\"16370688\"]\n  22 [size=\"65746944\", alpha=\"0.14\", expect_size=\"32873472\"] \n  22 -> 24 [size =\"32873472\"]\n  23 [size=\"78444544\", alpha=\"0.17\", expect_size=\"39222272\"] \n  24 [size=\"64954368\", alpha=\"0.10\", expect_size=\"32477184\"] \n  24 -> 25 [size =\"32477184\"]\n  24 -> 26 [size =\"32477184\"]\n  24 -> 27 [size =\"32477184\"]\n  25 [size=\"104431616\", alpha=\"0.12\", expect_size=\"52215808\"] \n  25 -> 28 [size =\"52215808\"]\n  26 [size=\"25157632\", alpha=\"0.17\", expect_size=\"12578816\"] \n  26 -> 28 [size =\"12578816\"]\n  27 [size=\"24438784\", alpha=\"0.09\", expect_size=\"12219392\"] \n  27 -> 29 [size =\"12219392\"]\n  27 -> 30 [size =\"12219392\"]\n  28 [size=\"75055104\", alpha=\"0.10\", expect_size=\"37527552\"] \n  28 -> 32 [size =\"37527552\"]\n  28 -> 33 [size =\"37527552\"]\n  29 [size=\"41543680\", alpha=\"0.16\", expect_size=\"20771840\"] \n  30 [size=\"88178688\", alpha=\"0.18\", expect_size=\"44089344\"] \n  30 -> 31 [size =\"44089344\"]\n  30 -> 32 [size =\"44089344\"]\n  30 -> 33 [size =\"44089344\"]\n  31 [size=\"102940672\", alpha=\"0.09\", expect_size=\"51470336\"] \n  31 -> 34 [size =\"51470336\"]\n  31 -> 35 [size =\"51470336\"]\n  31 -> 36 [size =\"51470336\"]\n  32 [size=\"49666048\", alpha=\"0.15\", expect_size=\"24833024\"] \n  33 [size=\"19755008\", alpha=\"0.19\", expect_size=\"9877504\"] \n  33 -> 36 [size =\"9877504\"]\n  34 [size=\"99321856\", alpha=\"0.07\", expect_size=\"49660928\"] \n  34 -> 37 [size =\"49660928\"]\n  35 [size=\"53682176\", alpha=\"0.04\", expect_size=\"26841088\"] \n  35 -> 39 [size =\"26841088\"]\n  36 [size=\"16074752\", alpha=\"0.08\", expect_size=\"8037376\"] \n  36 -> 38 [size =\"8037376\"]\n  36 -> 39 [size =\"8037376\"]\n  37 [size=\"94113792\", alpha=\"0.04\", expect_size=\"47056896\"] \n  37 -> 41 [size =\"47056896\"]\n  37 -> 42 [size =\"47056896\"]\n  38 [size=\"40986624\", alpha=\"0.10\", expect_size=\"20493312\"] \n  38 -> 40 [size =\"20493312\"]\n  38 -> 41 [size =\"20493312\"]\n  38 -> 42 [size =\"20493312\"]\n  39 [size=\"88127488\", alpha=\"0.18\", expect_size=\"44063744\"] \n  40 [size=\"68372480\", alpha=\"0.11\", expect_size=\"34186240\"] \n  41 [size=\"56938496\", alpha=\"0.08\", expect_size=\"28469248\"] \n  41 -> 43 [size =\"28469248\"]\n  41 -> 44 [size =\"28469248\"]\n  41 -> 45 [size =\"28469248\"]\n  42 [size=\"101623808\", alpha=\"0.18\", expect_size=\"50811904\"] \n  42 -> 44 [size =\"50811904\"]\n  43 [size=\"77271040\", alpha=\"0.02\", expect_size=\"38635520\"] \n  43 -> 46 [size =\"38635520\"]\n  43 -> 47 [size =\"38635520\"]\n  43 -> 48 [size =\"38635520\"]\n  44 [size=\"72529920\", alpha=\"0.17\", expect_size=\"36264960\"] \n  44 -> 47 [size =\"36264960\"]\n  45 [size=\"104392704\", alpha=\"0.12\", expect_size=\"52196352\"] \n  46 [size=\"30281728\", alpha=\"0.11\", expect_size=\"15140864\"] \n  46 -> 49 [size =\"15140864\"]\n  46 -> 50 [size =\"15140864\"]\n  47 [size=\"66822144\", alpha=\"0.12\", expect_size=\"33411072\"] \n  47 -> 50 [size =\"33411072\"]\n  48 [size=\"84877312\", alpha=\"0.07\", expect_size=\"42438656\"] \n  48 -> 49 [size =\"42438656\"]\n  49 [size=\"37658624\", alpha=\"0.09\", expect_size=\"18829312\"] \n  50 [size=\"26945536\", alpha=\"0.07\", expect_size=\"13472768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.230.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18793813\", alpha=\"0.03\", expect_size=\"5638144\"] \n  1 -> 17 [size =\"5638144\"]\n  1 -> 20 [size =\"5638144\"]\n  1 -> 21 [size =\"5638144\"]\n  1 -> 26 [size =\"5638144\"]\n  1 -> 27 [size =\"5638144\"]\n  1 -> 28 [size =\"5638144\"]\n  2 [size=\"21265067\", alpha=\"0.09\", expect_size=\"6379520\"] \n  2 -> 18 [size =\"6379520\"]\n  2 -> 21 [size =\"6379520\"]\n  2 -> 23 [size =\"6379520\"]\n  2 -> 24 [size =\"6379520\"]\n  2 -> 25 [size =\"6379520\"]\n  2 -> 29 [size =\"6379520\"]\n  3 [size=\"19623253\", alpha=\"0.00\", expect_size=\"5886976\"] \n  3 -> 18 [size =\"5886976\"]\n  3 -> 19 [size =\"5886976\"]\n  3 -> 21 [size =\"5886976\"]\n  4 [size=\"76383573\", alpha=\"0.04\", expect_size=\"22915072\"] \n  4 -> 24 [size =\"22915072\"]\n  5 [size=\"52172800\", alpha=\"0.20\", expect_size=\"15651840\"] \n  5 -> 19 [size =\"15651840\"]\n  5 -> 23 [size =\"15651840\"]\n  5 -> 25 [size =\"15651840\"]\n  6 [size=\"59716267\", alpha=\"0.17\", expect_size=\"17914880\"] \n  6 -> 19 [size =\"17914880\"]\n  6 -> 21 [size =\"17914880\"]\n  6 -> 23 [size =\"17914880\"]\n  6 -> 27 [size =\"17914880\"]\n  7 [size=\"136311467\", alpha=\"0.06\", expect_size=\"40893440\"] \n  7 -> 24 [size =\"40893440\"]\n  7 -> 26 [size =\"40893440\"]\n  8 [size=\"61781333\", alpha=\"0.01\", expect_size=\"18534400\"] \n  8 -> 17 [size =\"18534400\"]\n  8 -> 19 [size =\"18534400\"]\n  8 -> 24 [size =\"18534400\"]\n  8 -> 27 [size =\"18534400\"]\n  9 [size=\"51517440\", alpha=\"0.08\", expect_size=\"15455232\"] \n  9 -> 24 [size =\"15455232\"]\n  9 -> 27 [size =\"15455232\"]\n  10 [size=\"161286827\", alpha=\"0.18\", expect_size=\"48386048\"] \n  10 -> 18 [size =\"48386048\"]\n  10 -> 23 [size =\"48386048\"]\n  10 -> 27 [size =\"48386048\"]\n  11 [size=\"165963093\", alpha=\"0.04\", expect_size=\"49788928\"] \n  11 -> 18 [size =\"49788928\"]\n  11 -> 22 [size =\"49788928\"]\n  11 -> 24 [size =\"49788928\"]\n  11 -> 28 [size =\"49788928\"]\n  12 [size=\"31764480\", alpha=\"0.19\", expect_size=\"9529344\"] \n  12 -> 17 [size =\"9529344\"]\n  12 -> 19 [size =\"9529344\"]\n  12 -> 20 [size =\"9529344\"]\n  12 -> 23 [size =\"9529344\"]\n  12 -> 24 [size =\"9529344\"]\n  12 -> 25 [size =\"9529344\"]\n  12 -> 27 [size =\"9529344\"]\n  13 [size=\"103591253\", alpha=\"0.06\", expect_size=\"31077376\"] \n  13 -> 17 [size =\"31077376\"]\n  13 -> 21 [size =\"31077376\"]\n  13 -> 22 [size =\"31077376\"]\n  13 -> 24 [size =\"31077376\"]\n  13 -> 25 [size =\"31077376\"]\n  14 [size=\"106963627\", alpha=\"0.19\", expect_size=\"32089088\"] \n  14 -> 26 [size =\"32089088\"]\n  15 [size=\"137857707\", alpha=\"0.14\", expect_size=\"41357312\"] \n  15 -> 18 [size =\"41357312\"]\n  15 -> 21 [size =\"41357312\"]\n  15 -> 23 [size =\"41357312\"]\n  15 -> 28 [size =\"41357312\"]\n  16 [size=\"137093120\", alpha=\"0.16\", expect_size=\"41127936\"] \n  16 -> 18 [size =\"41127936\"]\n  16 -> 21 [size =\"41127936\"]\n  16 -> 25 [size =\"41127936\"]\n  16 -> 26 [size =\"41127936\"]\n  17 [size=\"117306027\", alpha=\"0.15\", expect_size=\"35191808\"] \n  17 -> 32 [size =\"35191808\"]\n  17 -> 35 [size =\"35191808\"]\n  17 -> 38 [size =\"35191808\"]\n  17 -> 42 [size =\"35191808\"]\n  17 -> 43 [size =\"35191808\"]\n  17 -> 44 [size =\"35191808\"]\n  18 [size=\"163300693\", alpha=\"0.03\", expect_size=\"48990208\"] \n  18 -> 31 [size =\"48990208\"]\n  18 -> 33 [size =\"48990208\"]\n  18 -> 36 [size =\"48990208\"]\n  18 -> 41 [size =\"48990208\"]\n  18 -> 43 [size =\"48990208\"]\n  18 -> 44 [size =\"48990208\"]\n  19 [size=\"167932587\", alpha=\"0.18\", expect_size=\"50379776\"] \n  19 -> 31 [size =\"50379776\"]\n  19 -> 36 [size =\"50379776\"]\n  19 -> 38 [size =\"50379776\"]\n  19 -> 44 [size =\"50379776\"]\n  20 [size=\"71475200\", alpha=\"0.19\", expect_size=\"21442560\"] \n  20 -> 31 [size =\"21442560\"]\n  20 -> 33 [size =\"21442560\"]\n  20 -> 35 [size =\"21442560\"]\n  20 -> 39 [size =\"21442560\"]\n  20 -> 42 [size =\"21442560\"]\n  21 [size=\"53913600\", alpha=\"0.01\", expect_size=\"16174080\"] \n  21 -> 30 [size =\"16174080\"]\n  21 -> 31 [size =\"16174080\"]\n  21 -> 39 [size =\"16174080\"]\n  21 -> 41 [size =\"16174080\"]\n  21 -> 42 [size =\"16174080\"]\n  21 -> 43 [size =\"16174080\"]\n  22 [size=\"88511147\", alpha=\"0.04\", expect_size=\"26553344\"] \n  22 -> 31 [size =\"26553344\"]\n  22 -> 33 [size =\"26553344\"]\n  22 -> 34 [size =\"26553344\"]\n  22 -> 37 [size =\"26553344\"]\n  22 -> 43 [size =\"26553344\"]\n  22 -> 44 [size =\"26553344\"]\n  23 [size=\"80633173\", alpha=\"0.06\", expect_size=\"24189952\"] \n  23 -> 30 [size =\"24189952\"]\n  23 -> 37 [size =\"24189952\"]\n  24 [size=\"131631787\", alpha=\"0.16\", expect_size=\"39489536\"] \n  24 -> 30 [size =\"39489536\"]\n  24 -> 31 [size =\"39489536\"]\n  24 -> 32 [size =\"39489536\"]\n  24 -> 33 [size =\"39489536\"]\n  24 -> 37 [size =\"39489536\"]\n  24 -> 41 [size =\"39489536\"]\n  24 -> 42 [size =\"39489536\"]\n  24 -> 44 [size =\"39489536\"]\n  25 [size=\"119906987\", alpha=\"0.11\", expect_size=\"35972096\"] \n  25 -> 30 [size =\"35972096\"]\n  25 -> 36 [size =\"35972096\"]\n  25 -> 37 [size =\"35972096\"]\n  25 -> 39 [size =\"35972096\"]\n  25 -> 41 [size =\"35972096\"]\n  26 [size=\"69918720\", alpha=\"0.11\", expect_size=\"20975616\"] \n  26 -> 33 [size =\"20975616\"]\n  26 -> 35 [size =\"20975616\"]\n  26 -> 36 [size =\"20975616\"]\n  26 -> 37 [size =\"20975616\"]\n  26 -> 39 [size =\"20975616\"]\n  26 -> 43 [size =\"20975616\"]\n  26 -> 44 [size =\"20975616\"]\n  27 [size=\"39806293\", alpha=\"0.06\", expect_size=\"11941888\"] \n  27 -> 31 [size =\"11941888\"]\n  27 -> 33 [size =\"11941888\"]\n  27 -> 38 [size =\"11941888\"]\n  27 -> 39 [size =\"11941888\"]\n  27 -> 40 [size =\"11941888\"]\n  27 -> 41 [size =\"11941888\"]\n  27 -> 42 [size =\"11941888\"]\n  27 -> 43 [size =\"11941888\"]\n  28 [size=\"153896960\", alpha=\"0.07\", expect_size=\"46169088\"] \n  28 -> 31 [size =\"46169088\"]\n  28 -> 32 [size =\"46169088\"]\n  28 -> 33 [size =\"46169088\"]\n  28 -> 34 [size =\"46169088\"]\n  28 -> 35 [size =\"46169088\"]\n  28 -> 36 [size =\"46169088\"]\n  28 -> 41 [size =\"46169088\"]\n  29 [size=\"17506987\", alpha=\"0.12\", expect_size=\"5252096\"] \n  29 -> 32 [size =\"5252096\"]\n  29 -> 33 [size =\"5252096\"]\n  29 -> 36 [size =\"5252096\"]\n  29 -> 37 [size =\"5252096\"]\n  29 -> 38 [size =\"5252096\"]\n  29 -> 41 [size =\"5252096\"]\n  29 -> 42 [size =\"5252096\"]\n  30 [size=\"155787947\", alpha=\"0.15\", expect_size=\"46736384\"] \n  30 -> 45 [size =\"46736384\"]\n  30 -> 48 [size =\"46736384\"]\n  30 -> 49 [size =\"46736384\"]\n  31 [size=\"150487040\", alpha=\"0.17\", expect_size=\"45146112\"] \n  31 -> 45 [size =\"45146112\"]\n  31 -> 48 [size =\"45146112\"]\n  32 [size=\"160204800\", alpha=\"0.01\", expect_size=\"48061440\"] \n  32 -> 45 [size =\"48061440\"]\n  32 -> 48 [size =\"48061440\"]\n  32 -> 49 [size =\"48061440\"]\n  33 [size=\"31450453\", alpha=\"0.16\", expect_size=\"9435136\"] \n  33 -> 48 [size =\"9435136\"]\n  34 [size=\"80943787\", alpha=\"0.02\", expect_size=\"24283136\"] \n  34 -> 48 [size =\"24283136\"]\n  34 -> 49 [size =\"24283136\"]\n  35 [size=\"53022720\", alpha=\"0.04\", expect_size=\"15906816\"] \n  35 -> 46 [size =\"15906816\"]\n  36 [size=\"139670187\", alpha=\"0.01\", expect_size=\"41901056\"] \n  36 -> 46 [size =\"41901056\"]\n  36 -> 47 [size =\"41901056\"]\n  37 [size=\"68560213\", alpha=\"0.10\", expect_size=\"20568064\"] \n  37 -> 45 [size =\"20568064\"]\n  38 [size=\"115807573\", alpha=\"0.19\", expect_size=\"34742272\"] \n  38 -> 45 [size =\"34742272\"]\n  39 [size=\"168441173\", alpha=\"0.06\", expect_size=\"50532352\"] \n  39 -> 45 [size =\"50532352\"]\n  40 [size=\"103212373\", alpha=\"0.20\", expect_size=\"30963712\"] \n  40 -> 45 [size =\"30963712\"]\n  40 -> 48 [size =\"30963712\"]\n  40 -> 50 [size =\"30963712\"]\n  41 [size=\"63931733\", alpha=\"0.19\", expect_size=\"19179520\"] \n  41 -> 45 [size =\"19179520\"]\n  41 -> 50 [size =\"19179520\"]\n  42 [size=\"41806507\", alpha=\"0.06\", expect_size=\"12541952\"] \n  42 -> 49 [size =\"12541952\"]\n  43 [size=\"51118080\", alpha=\"0.02\", expect_size=\"15335424\"] \n  43 -> 45 [size =\"15335424\"]\n  43 -> 48 [size =\"15335424\"]\n  44 [size=\"20705280\", alpha=\"0.12\", expect_size=\"6211584\"] \n  44 -> 48 [size =\"6211584\"]\n  44 -> 49 [size =\"6211584\"]\n  44 -> 50 [size =\"6211584\"]\n  45 [size=\"40055467\", alpha=\"0.16\", expect_size=\"12016640\"] \n  46 [size=\"72260267\", alpha=\"0.06\", expect_size=\"21678080\"] \n  47 [size=\"79656960\", alpha=\"0.19\", expect_size=\"23897088\"] \n  48 [size=\"162075307\", alpha=\"0.09\", expect_size=\"48622592\"] \n  49 [size=\"150766933\", alpha=\"0.19\", expect_size=\"45230080\"] \n  50 [size=\"38905173\", alpha=\"0.07\", expect_size=\"11671552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.231.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112469333\", alpha=\"0.07\", expect_size=\"33740800\"] \n  1 -> 48 [size =\"33740800\"]\n  2 [size=\"138560853\", alpha=\"0.02\", expect_size=\"41568256\"] \n  2 -> 49 [size =\"41568256\"]\n  3 [size=\"149125120\", alpha=\"0.11\", expect_size=\"44737536\"] \n  4 [size=\"47936853\", alpha=\"0.19\", expect_size=\"14381056\"] \n  4 -> 48 [size =\"14381056\"]\n  4 -> 49 [size =\"14381056\"]\n  5 [size=\"108591787\", alpha=\"0.02\", expect_size=\"32577536\"] \n  6 [size=\"140072960\", alpha=\"0.02\", expect_size=\"42021888\"] \n  6 -> 47 [size =\"42021888\"]\n  6 -> 48 [size =\"42021888\"]\n  7 [size=\"59071147\", alpha=\"0.03\", expect_size=\"17721344\"] \n  8 [size=\"119947947\", alpha=\"0.15\", expect_size=\"35984384\"] \n  8 -> 47 [size =\"35984384\"]\n  9 [size=\"67546453\", alpha=\"0.18\", expect_size=\"20263936\"] \n  10 [size=\"74738347\", alpha=\"0.16\", expect_size=\"22421504\"] \n  10 -> 47 [size =\"22421504\"]\n  11 [size=\"100758187\", alpha=\"0.09\", expect_size=\"30227456\"] \n  11 -> 47 [size =\"30227456\"]\n  11 -> 49 [size =\"30227456\"]\n  11 -> 50 [size =\"30227456\"]\n  12 [size=\"159682560\", alpha=\"0.17\", expect_size=\"47904768\"] \n  12 -> 50 [size =\"47904768\"]\n  13 [size=\"20008960\", alpha=\"0.09\", expect_size=\"6002688\"] \n  13 -> 49 [size =\"6002688\"]\n  14 [size=\"103362560\", alpha=\"0.16\", expect_size=\"31008768\"] \n  15 [size=\"99406507\", alpha=\"0.08\", expect_size=\"29821952\"] \n  15 -> 50 [size =\"29821952\"]\n  16 [size=\"111970987\", alpha=\"0.15\", expect_size=\"33591296\"] \n  16 -> 48 [size =\"33591296\"]\n  16 -> 49 [size =\"33591296\"]\n  17 [size=\"125716480\", alpha=\"0.05\", expect_size=\"37714944\"] \n  18 [size=\"150118400\", alpha=\"0.19\", expect_size=\"45035520\"] \n  19 [size=\"108100267\", alpha=\"0.08\", expect_size=\"32430080\"] \n  20 [size=\"91146240\", alpha=\"0.20\", expect_size=\"27343872\"] \n  20 -> 47 [size =\"27343872\"]\n  20 -> 49 [size =\"27343872\"]\n  21 [size=\"60395520\", alpha=\"0.04\", expect_size=\"18118656\"] \n  22 [size=\"134563840\", alpha=\"0.03\", expect_size=\"40369152\"] \n  22 -> 47 [size =\"40369152\"]\n  23 [size=\"108895573\", alpha=\"0.20\", expect_size=\"32668672\"] \n  23 -> 47 [size =\"32668672\"]\n  24 [size=\"23709013\", alpha=\"0.20\", expect_size=\"7112704\"] \n  25 [size=\"145940480\", alpha=\"0.12\", expect_size=\"43782144\"] \n  25 -> 50 [size =\"43782144\"]\n  26 [size=\"49414827\", alpha=\"0.19\", expect_size=\"14824448\"] \n  26 -> 50 [size =\"14824448\"]\n  27 [size=\"168970240\", alpha=\"0.11\", expect_size=\"50691072\"] \n  27 -> 48 [size =\"50691072\"]\n  28 [size=\"48404480\", alpha=\"0.17\", expect_size=\"14521344\"] \n  28 -> 47 [size =\"14521344\"]\n  28 -> 50 [size =\"14521344\"]\n  29 [size=\"44311893\", alpha=\"0.09\", expect_size=\"13293568\"] \n  29 -> 49 [size =\"13293568\"]\n  30 [size=\"104273920\", alpha=\"0.08\", expect_size=\"31282176\"] \n  30 -> 47 [size =\"31282176\"]\n  30 -> 49 [size =\"31282176\"]\n  31 [size=\"101802667\", alpha=\"0.18\", expect_size=\"30540800\"] \n  31 -> 48 [size =\"30540800\"]\n  31 -> 49 [size =\"30540800\"]\n  31 -> 50 [size =\"30540800\"]\n  32 [size=\"131891200\", alpha=\"0.06\", expect_size=\"39567360\"] \n  32 -> 47 [size =\"39567360\"]\n  32 -> 48 [size =\"39567360\"]\n  33 [size=\"158341120\", alpha=\"0.15\", expect_size=\"47502336\"] \n  33 -> 47 [size =\"47502336\"]\n  33 -> 48 [size =\"47502336\"]\n  33 -> 49 [size =\"47502336\"]\n  34 [size=\"155514880\", alpha=\"0.14\", expect_size=\"46654464\"] \n  34 -> 47 [size =\"46654464\"]\n  34 -> 48 [size =\"46654464\"]\n  34 -> 50 [size =\"46654464\"]\n  35 [size=\"153883307\", alpha=\"0.03\", expect_size=\"46164992\"] \n  36 [size=\"87268693\", alpha=\"0.05\", expect_size=\"26180608\"] \n  37 [size=\"78277973\", alpha=\"0.00\", expect_size=\"23483392\"] \n  37 -> 50 [size =\"23483392\"]\n  38 [size=\"168502613\", alpha=\"0.13\", expect_size=\"50550784\"] \n  38 -> 47 [size =\"50550784\"]\n  38 -> 48 [size =\"50550784\"]\n  39 [size=\"145844907\", alpha=\"0.17\", expect_size=\"43753472\"] \n  40 [size=\"60378453\", alpha=\"0.10\", expect_size=\"18113536\"] \n  41 [size=\"126651733\", alpha=\"0.08\", expect_size=\"37995520\"] \n  41 -> 47 [size =\"37995520\"]\n  42 [size=\"113380693\", alpha=\"0.02\", expect_size=\"34014208\"] \n  42 -> 48 [size =\"34014208\"]\n  42 -> 49 [size =\"34014208\"]\n  43 [size=\"162764800\", alpha=\"0.07\", expect_size=\"48829440\"] \n  43 -> 48 [size =\"48829440\"]\n  43 -> 50 [size =\"48829440\"]\n  44 [size=\"120053760\", alpha=\"0.13\", expect_size=\"36016128\"] \n  44 -> 47 [size =\"36016128\"]\n  44 -> 50 [size =\"36016128\"]\n  45 [size=\"71137280\", alpha=\"0.15\", expect_size=\"21341184\"] \n  45 -> 48 [size =\"21341184\"]\n  46 [size=\"97945600\", alpha=\"0.02\", expect_size=\"29383680\"] \n  46 -> 47 [size =\"29383680\"]\n  46 -> 48 [size =\"29383680\"]\n  46 -> 50 [size =\"29383680\"]\n  47 [size=\"137693867\", alpha=\"0.07\", expect_size=\"41308160\"] \n  48 [size=\"141332480\", alpha=\"0.17\", expect_size=\"42399744\"] \n  49 [size=\"84220587\", alpha=\"0.10\", expect_size=\"25266176\"] \n  50 [size=\"56982187\", alpha=\"0.14\", expect_size=\"17094656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.232.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94529536\", alpha=\"0.04\", expect_size=\"47264768\"] \n  2 [size=\"79798272\", alpha=\"0.12\", expect_size=\"39899136\"] \n  2 -> 3 [size =\"39899136\"]\n  2 -> 4 [size =\"39899136\"]\n  3 [size=\"56555520\", alpha=\"0.14\", expect_size=\"28277760\"] \n  3 -> 5 [size =\"28277760\"]\n  3 -> 6 [size =\"28277760\"]\n  4 [size=\"102938624\", alpha=\"0.00\", expect_size=\"51469312\"] \n  5 [size=\"31479808\", alpha=\"0.02\", expect_size=\"15739904\"] \n  5 -> 7 [size =\"15739904\"]\n  6 [size=\"50575360\", alpha=\"0.08\", expect_size=\"25287680\"] \n  6 -> 7 [size =\"25287680\"]\n  6 -> 8 [size =\"25287680\"]\n  7 [size=\"102430720\", alpha=\"0.10\", expect_size=\"51215360\"] \n  7 -> 9 [size =\"51215360\"]\n  7 -> 10 [size =\"51215360\"]\n  8 [size=\"15546368\", alpha=\"0.01\", expect_size=\"7773184\"] \n  8 -> 9 [size =\"7773184\"]\n  9 [size=\"104679424\", alpha=\"0.06\", expect_size=\"52339712\"] \n  9 -> 12 [size =\"52339712\"]\n  10 [size=\"49281024\", alpha=\"0.08\", expect_size=\"24640512\"] \n  10 -> 11 [size =\"24640512\"]\n  10 -> 13 [size =\"24640512\"]\n  11 [size=\"55257088\", alpha=\"0.02\", expect_size=\"27628544\"] \n  11 -> 14 [size =\"27628544\"]\n  12 [size=\"73631744\", alpha=\"0.18\", expect_size=\"36815872\"] \n  12 -> 14 [size =\"36815872\"]\n  13 [size=\"34119680\", alpha=\"0.14\", expect_size=\"17059840\"] \n  13 -> 15 [size =\"17059840\"]\n  14 [size=\"101232640\", alpha=\"0.15\", expect_size=\"50616320\"] \n  14 -> 16 [size =\"50616320\"]\n  14 -> 17 [size =\"50616320\"]\n  15 [size=\"103049216\", alpha=\"0.10\", expect_size=\"51524608\"] \n  15 -> 16 [size =\"51524608\"]\n  15 -> 17 [size =\"51524608\"]\n  16 [size=\"18812928\", alpha=\"0.14\", expect_size=\"9406464\"] \n  16 -> 18 [size =\"9406464\"]\n  17 [size=\"56483840\", alpha=\"0.09\", expect_size=\"28241920\"] \n  17 -> 18 [size =\"28241920\"]\n  17 -> 19 [size =\"28241920\"]\n  18 [size=\"11302912\", alpha=\"0.04\", expect_size=\"5651456\"] \n  18 -> 20 [size =\"5651456\"]\n  19 [size=\"16050176\", alpha=\"0.06\", expect_size=\"8025088\"] \n  19 -> 20 [size =\"8025088\"]\n  19 -> 21 [size =\"8025088\"]\n  20 [size=\"45395968\", alpha=\"0.15\", expect_size=\"22697984\"] \n  20 -> 22 [size =\"22697984\"]\n  20 -> 23 [size =\"22697984\"]\n  20 -> 24 [size =\"22697984\"]\n  21 [size=\"82477056\", alpha=\"0.03\", expect_size=\"41238528\"] \n  21 -> 22 [size =\"41238528\"]\n  21 -> 23 [size =\"41238528\"]\n  21 -> 24 [size =\"41238528\"]\n  22 [size=\"91191296\", alpha=\"0.05\", expect_size=\"45595648\"] \n  22 -> 25 [size =\"45595648\"]\n  22 -> 26 [size =\"45595648\"]\n  23 [size=\"80777216\", alpha=\"0.17\", expect_size=\"40388608\"] \n  23 -> 27 [size =\"40388608\"]\n  24 [size=\"54636544\", alpha=\"0.09\", expect_size=\"27318272\"] \n  24 -> 25 [size =\"27318272\"]\n  24 -> 27 [size =\"27318272\"]\n  25 [size=\"32407552\", alpha=\"0.05\", expect_size=\"16203776\"] \n  25 -> 28 [size =\"16203776\"]\n  26 [size=\"81108992\", alpha=\"0.09\", expect_size=\"40554496\"] \n  26 -> 29 [size =\"40554496\"]\n  27 [size=\"54116352\", alpha=\"0.13\", expect_size=\"27058176\"] \n  27 -> 29 [size =\"27058176\"]\n  28 [size=\"94451712\", alpha=\"0.18\", expect_size=\"47225856\"] \n  28 -> 30 [size =\"47225856\"]\n  29 [size=\"19060736\", alpha=\"0.03\", expect_size=\"9530368\"] \n  29 -> 30 [size =\"9530368\"]\n  29 -> 31 [size =\"9530368\"]\n  30 [size=\"45506560\", alpha=\"0.16\", expect_size=\"22753280\"] \n  30 -> 32 [size =\"22753280\"]\n  31 [size=\"23388160\", alpha=\"0.19\", expect_size=\"11694080\"] \n  31 -> 32 [size =\"11694080\"]\n  31 -> 33 [size =\"11694080\"]\n  32 [size=\"36751360\", alpha=\"0.15\", expect_size=\"18375680\"] \n  32 -> 34 [size =\"18375680\"]\n  32 -> 36 [size =\"18375680\"]\n  33 [size=\"60536832\", alpha=\"0.16\", expect_size=\"30268416\"] \n  33 -> 35 [size =\"30268416\"]\n  34 [size=\"46444544\", alpha=\"0.17\", expect_size=\"23222272\"] \n  34 -> 38 [size =\"23222272\"]\n  34 -> 39 [size =\"23222272\"]\n  35 [size=\"86925312\", alpha=\"0.17\", expect_size=\"43462656\"] \n  36 [size=\"14233600\", alpha=\"0.19\", expect_size=\"7116800\"] \n  36 -> 37 [size =\"7116800\"]\n  36 -> 38 [size =\"7116800\"]\n  37 [size=\"57202688\", alpha=\"0.10\", expect_size=\"28601344\"] \n  37 -> 40 [size =\"28601344\"]\n  38 [size=\"24664064\", alpha=\"0.02\", expect_size=\"12332032\"] \n  39 [size=\"16054272\", alpha=\"0.15\", expect_size=\"8027136\"] \n  39 -> 40 [size =\"8027136\"]\n  39 -> 41 [size =\"8027136\"]\n  40 [size=\"31193088\", alpha=\"0.15\", expect_size=\"15596544\"] \n  40 -> 43 [size =\"15596544\"]\n  41 [size=\"14503936\", alpha=\"0.10\", expect_size=\"7251968\"] \n  41 -> 42 [size =\"7251968\"]\n  42 [size=\"10760192\", alpha=\"0.03\", expect_size=\"5380096\"] \n  42 -> 44 [size =\"5380096\"]\n  42 -> 45 [size =\"5380096\"]\n  43 [size=\"83109888\", alpha=\"0.10\", expect_size=\"41554944\"] \n  44 [size=\"66445312\", alpha=\"0.07\", expect_size=\"33222656\"] \n  44 -> 46 [size =\"33222656\"]\n  45 [size=\"51511296\", alpha=\"0.09\", expect_size=\"25755648\"] \n  45 -> 47 [size =\"25755648\"]\n  46 [size=\"36501504\", alpha=\"0.05\", expect_size=\"18250752\"] \n  46 -> 48 [size =\"18250752\"]\n  47 [size=\"29745152\", alpha=\"0.11\", expect_size=\"14872576\"] \n  47 -> 49 [size =\"14872576\"]\n  48 [size=\"77242368\", alpha=\"0.15\", expect_size=\"38621184\"] \n  48 -> 50 [size =\"38621184\"]\n  49 [size=\"85438464\", alpha=\"0.20\", expect_size=\"42719232\"] \n  50 [size=\"59897856\", alpha=\"0.13\", expect_size=\"29948928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.233.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28925952\", alpha=\"0.12\", expect_size=\"14462976\"] \n  1 -> 2 [size =\"14462976\"]\n  2 [size=\"27092992\", alpha=\"0.06\", expect_size=\"13546496\"] \n  2 -> 3 [size =\"13546496\"]\n  3 [size=\"90048512\", alpha=\"0.10\", expect_size=\"45024256\"] \n  3 -> 4 [size =\"45024256\"]\n  4 [size=\"69541888\", alpha=\"0.01\", expect_size=\"34770944\"] \n  4 -> 5 [size =\"34770944\"]\n  5 [size=\"34846720\", alpha=\"0.19\", expect_size=\"17423360\"] \n  5 -> 6 [size =\"17423360\"]\n  6 [size=\"42803200\", alpha=\"0.11\", expect_size=\"21401600\"] \n  6 -> 7 [size =\"21401600\"]\n  7 [size=\"33255424\", alpha=\"0.13\", expect_size=\"16627712\"] \n  7 -> 8 [size =\"16627712\"]\n  8 [size=\"67721216\", alpha=\"0.02\", expect_size=\"33860608\"] \n  8 -> 9 [size =\"33860608\"]\n  9 [size=\"95676416\", alpha=\"0.13\", expect_size=\"47838208\"] \n  9 -> 10 [size =\"47838208\"]\n  10 [size=\"72284160\", alpha=\"0.10\", expect_size=\"36142080\"] \n  10 -> 11 [size =\"36142080\"]\n  11 [size=\"63651840\", alpha=\"0.09\", expect_size=\"31825920\"] \n  11 -> 12 [size =\"31825920\"]\n  12 [size=\"26863616\", alpha=\"0.10\", expect_size=\"13431808\"] \n  12 -> 13 [size =\"13431808\"]\n  13 [size=\"53510144\", alpha=\"0.15\", expect_size=\"26755072\"] \n  13 -> 14 [size =\"26755072\"]\n  14 [size=\"99471360\", alpha=\"0.02\", expect_size=\"49735680\"] \n  14 -> 15 [size =\"49735680\"]\n  15 [size=\"11907072\", alpha=\"0.19\", expect_size=\"5953536\"] \n  15 -> 16 [size =\"5953536\"]\n  16 [size=\"103876608\", alpha=\"0.17\", expect_size=\"51938304\"] \n  16 -> 17 [size =\"51938304\"]\n  17 [size=\"59848704\", alpha=\"0.13\", expect_size=\"29924352\"] \n  17 -> 18 [size =\"29924352\"]\n  18 [size=\"27322368\", alpha=\"0.07\", expect_size=\"13661184\"] \n  18 -> 19 [size =\"13661184\"]\n  19 [size=\"38959104\", alpha=\"0.14\", expect_size=\"19479552\"] \n  19 -> 20 [size =\"19479552\"]\n  20 [size=\"99627008\", alpha=\"0.10\", expect_size=\"49813504\"] \n  20 -> 21 [size =\"49813504\"]\n  21 [size=\"53004288\", alpha=\"0.10\", expect_size=\"26502144\"] \n  21 -> 22 [size =\"26502144\"]\n  22 [size=\"93743104\", alpha=\"0.13\", expect_size=\"46871552\"] \n  22 -> 23 [size =\"46871552\"]\n  23 [size=\"46923776\", alpha=\"0.14\", expect_size=\"23461888\"] \n  23 -> 24 [size =\"23461888\"]\n  24 [size=\"22990848\", alpha=\"0.07\", expect_size=\"11495424\"] \n  24 -> 25 [size =\"11495424\"]\n  25 [size=\"34703360\", alpha=\"0.05\", expect_size=\"17351680\"] \n  25 -> 26 [size =\"17351680\"]\n  26 [size=\"30765056\", alpha=\"0.09\", expect_size=\"15382528\"] \n  26 -> 27 [size =\"15382528\"]\n  27 [size=\"17926144\", alpha=\"0.19\", expect_size=\"8963072\"] \n  27 -> 28 [size =\"8963072\"]\n  28 [size=\"78186496\", alpha=\"0.01\", expect_size=\"39093248\"] \n  28 -> 29 [size =\"39093248\"]\n  29 [size=\"17440768\", alpha=\"0.01\", expect_size=\"8720384\"] \n  29 -> 30 [size =\"8720384\"]\n  30 [size=\"84174848\", alpha=\"0.13\", expect_size=\"42087424\"] \n  30 -> 31 [size =\"42087424\"]\n  31 [size=\"37644288\", alpha=\"0.18\", expect_size=\"18822144\"] \n  31 -> 32 [size =\"18822144\"]\n  32 [size=\"85035008\", alpha=\"0.05\", expect_size=\"42517504\"] \n  32 -> 33 [size =\"42517504\"]\n  33 [size=\"54210560\", alpha=\"0.02\", expect_size=\"27105280\"] \n  33 -> 34 [size =\"27105280\"]\n  34 [size=\"24733696\", alpha=\"0.18\", expect_size=\"12366848\"] \n  34 -> 35 [size =\"12366848\"]\n  35 [size=\"55662592\", alpha=\"0.14\", expect_size=\"27831296\"] \n  35 -> 36 [size =\"27831296\"]\n  36 [size=\"76988416\", alpha=\"0.09\", expect_size=\"38494208\"] \n  36 -> 37 [size =\"38494208\"]\n  37 [size=\"26654720\", alpha=\"0.16\", expect_size=\"13327360\"] \n  37 -> 38 [size =\"13327360\"]\n  38 [size=\"21809152\", alpha=\"0.05\", expect_size=\"10904576\"] \n  38 -> 39 [size =\"10904576\"]\n  39 [size=\"25313280\", alpha=\"0.01\", expect_size=\"12656640\"] \n  39 -> 40 [size =\"12656640\"]\n  40 [size=\"27987968\", alpha=\"0.16\", expect_size=\"13993984\"] \n  40 -> 41 [size =\"13993984\"]\n  41 [size=\"91633664\", alpha=\"0.20\", expect_size=\"45816832\"] \n  41 -> 42 [size =\"45816832\"]\n  42 [size=\"80674816\", alpha=\"0.01\", expect_size=\"40337408\"] \n  42 -> 43 [size =\"40337408\"]\n  43 [size=\"11489280\", alpha=\"0.10\", expect_size=\"5744640\"] \n  43 -> 44 [size =\"5744640\"]\n  44 [size=\"21475328\", alpha=\"0.02\", expect_size=\"10737664\"] \n  44 -> 45 [size =\"10737664\"]\n  45 [size=\"10874880\", alpha=\"0.19\", expect_size=\"5437440\"] \n  45 -> 46 [size =\"5437440\"]\n  46 [size=\"75481088\", alpha=\"0.20\", expect_size=\"37740544\"] \n  46 -> 47 [size =\"37740544\"]\n  47 [size=\"25573376\", alpha=\"0.02\", expect_size=\"12786688\"] \n  47 -> 48 [size =\"12786688\"]\n  48 [size=\"99254272\", alpha=\"0.19\", expect_size=\"49627136\"] \n  48 -> 49 [size =\"49627136\"]\n  49 [size=\"30251008\", alpha=\"0.18\", expect_size=\"15125504\"] \n  49 -> 50 [size =\"15125504\"]\n  50 [size=\"35780608\", alpha=\"0.12\", expect_size=\"17890304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.234.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98447360\", alpha=\"0.06\", expect_size=\"49223680\"] \n  1 -> 2 [size =\"49223680\"]\n  2 [size=\"40798208\", alpha=\"0.18\", expect_size=\"20399104\"] \n  2 -> 3 [size =\"20399104\"]\n  3 [size=\"100182016\", alpha=\"0.10\", expect_size=\"50091008\"] \n  3 -> 4 [size =\"50091008\"]\n  4 [size=\"50352128\", alpha=\"0.17\", expect_size=\"25176064\"] \n  4 -> 5 [size =\"25176064\"]\n  5 [size=\"54046720\", alpha=\"0.02\", expect_size=\"27023360\"] \n  5 -> 6 [size =\"27023360\"]\n  6 [size=\"66527232\", alpha=\"0.09\", expect_size=\"33263616\"] \n  6 -> 7 [size =\"33263616\"]\n  7 [size=\"35381248\", alpha=\"0.19\", expect_size=\"17690624\"] \n  7 -> 8 [size =\"17690624\"]\n  8 [size=\"17168384\", alpha=\"0.13\", expect_size=\"8584192\"] \n  8 -> 9 [size =\"8584192\"]\n  9 [size=\"21155840\", alpha=\"0.07\", expect_size=\"10577920\"] \n  9 -> 10 [size =\"10577920\"]\n  10 [size=\"13553664\", alpha=\"0.09\", expect_size=\"6776832\"] \n  10 -> 11 [size =\"6776832\"]\n  11 [size=\"104597504\", alpha=\"0.16\", expect_size=\"52298752\"] \n  11 -> 12 [size =\"52298752\"]\n  12 [size=\"36448256\", alpha=\"0.20\", expect_size=\"18224128\"] \n  12 -> 13 [size =\"18224128\"]\n  13 [size=\"28231680\", alpha=\"0.06\", expect_size=\"14115840\"] \n  13 -> 14 [size =\"14115840\"]\n  14 [size=\"76648448\", alpha=\"0.17\", expect_size=\"38324224\"] \n  14 -> 15 [size =\"38324224\"]\n  15 [size=\"61122560\", alpha=\"0.07\", expect_size=\"30561280\"] \n  15 -> 16 [size =\"30561280\"]\n  16 [size=\"68812800\", alpha=\"0.04\", expect_size=\"34406400\"] \n  16 -> 17 [size =\"34406400\"]\n  17 [size=\"14718976\", alpha=\"0.08\", expect_size=\"7359488\"] \n  17 -> 18 [size =\"7359488\"]\n  18 [size=\"104128512\", alpha=\"0.09\", expect_size=\"52064256\"] \n  18 -> 19 [size =\"52064256\"]\n  19 [size=\"70117376\", alpha=\"0.14\", expect_size=\"35058688\"] \n  19 -> 20 [size =\"35058688\"]\n  20 [size=\"10522624\", alpha=\"0.06\", expect_size=\"5261312\"] \n  20 -> 21 [size =\"5261312\"]\n  21 [size=\"55058432\", alpha=\"0.16\", expect_size=\"27529216\"] \n  21 -> 22 [size =\"27529216\"]\n  22 [size=\"34807808\", alpha=\"0.13\", expect_size=\"17403904\"] \n  22 -> 23 [size =\"17403904\"]\n  23 [size=\"33964032\", alpha=\"0.09\", expect_size=\"16982016\"] \n  23 -> 24 [size =\"16982016\"]\n  24 [size=\"61376512\", alpha=\"0.13\", expect_size=\"30688256\"] \n  24 -> 25 [size =\"30688256\"]\n  25 [size=\"47925248\", alpha=\"0.07\", expect_size=\"23962624\"] \n  25 -> 26 [size =\"23962624\"]\n  26 [size=\"80044032\", alpha=\"0.12\", expect_size=\"40022016\"] \n  26 -> 27 [size =\"40022016\"]\n  27 [size=\"101105664\", alpha=\"0.03\", expect_size=\"50552832\"] \n  27 -> 28 [size =\"50552832\"]\n  28 [size=\"43974656\", alpha=\"0.15\", expect_size=\"21987328\"] \n  28 -> 29 [size =\"21987328\"]\n  29 [size=\"86380544\", alpha=\"0.10\", expect_size=\"43190272\"] \n  29 -> 30 [size =\"43190272\"]\n  30 [size=\"56410112\", alpha=\"0.05\", expect_size=\"28205056\"] \n  30 -> 31 [size =\"28205056\"]\n  31 [size=\"82364416\", alpha=\"0.20\", expect_size=\"41182208\"] \n  31 -> 32 [size =\"41182208\"]\n  32 [size=\"63465472\", alpha=\"0.00\", expect_size=\"31732736\"] \n  32 -> 33 [size =\"31732736\"]\n  33 [size=\"30023680\", alpha=\"0.05\", expect_size=\"15011840\"] \n  33 -> 34 [size =\"15011840\"]\n  34 [size=\"71737344\", alpha=\"0.03\", expect_size=\"35868672\"] \n  34 -> 35 [size =\"35868672\"]\n  35 [size=\"39731200\", alpha=\"0.12\", expect_size=\"19865600\"] \n  35 -> 36 [size =\"19865600\"]\n  36 [size=\"71940096\", alpha=\"0.13\", expect_size=\"35970048\"] \n  36 -> 37 [size =\"35970048\"]\n  37 [size=\"35659776\", alpha=\"0.16\", expect_size=\"17829888\"] \n  37 -> 38 [size =\"17829888\"]\n  38 [size=\"50163712\", alpha=\"0.18\", expect_size=\"25081856\"] \n  38 -> 39 [size =\"25081856\"]\n  39 [size=\"27756544\", alpha=\"0.13\", expect_size=\"13878272\"] \n  39 -> 40 [size =\"13878272\"]\n  40 [size=\"73486336\", alpha=\"0.08\", expect_size=\"36743168\"] \n  40 -> 41 [size =\"36743168\"]\n  41 [size=\"96049152\", alpha=\"0.12\", expect_size=\"48024576\"] \n  41 -> 42 [size =\"48024576\"]\n  42 [size=\"95182848\", alpha=\"0.01\", expect_size=\"47591424\"] \n  42 -> 43 [size =\"47591424\"]\n  43 [size=\"96854016\", alpha=\"0.16\", expect_size=\"48427008\"] \n  43 -> 44 [size =\"48427008\"]\n  44 [size=\"24436736\", alpha=\"0.01\", expect_size=\"12218368\"] \n  44 -> 45 [size =\"12218368\"]\n  45 [size=\"38465536\", alpha=\"0.14\", expect_size=\"19232768\"] \n  45 -> 46 [size =\"19232768\"]\n  46 [size=\"95209472\", alpha=\"0.02\", expect_size=\"47604736\"] \n  46 -> 47 [size =\"47604736\"]\n  47 [size=\"64247808\", alpha=\"0.09\", expect_size=\"32123904\"] \n  47 -> 48 [size =\"32123904\"]\n  48 [size=\"44189696\", alpha=\"0.03\", expect_size=\"22094848\"] \n  48 -> 49 [size =\"22094848\"]\n  49 [size=\"34306048\", alpha=\"0.13\", expect_size=\"17153024\"] \n  49 -> 50 [size =\"17153024\"]\n  50 [size=\"94230528\", alpha=\"0.13\", expect_size=\"47115264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.235.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152214187\", alpha=\"0.16\", expect_size=\"45664256\"] \n  1 -> 4 [size =\"45664256\"]\n  2 [size=\"38922240\", alpha=\"0.12\", expect_size=\"11676672\"] \n  2 -> 4 [size =\"11676672\"]\n  2 -> 5 [size =\"11676672\"]\n  3 [size=\"98549760\", alpha=\"0.03\", expect_size=\"29564928\"] \n  3 -> 5 [size =\"29564928\"]\n  4 [size=\"79988053\", alpha=\"0.19\", expect_size=\"23996416\"] \n  4 -> 6 [size =\"23996416\"]\n  4 -> 7 [size =\"23996416\"]\n  4 -> 8 [size =\"23996416\"]\n  5 [size=\"154600107\", alpha=\"0.03\", expect_size=\"46380032\"] \n  5 -> 6 [size =\"46380032\"]\n  5 -> 7 [size =\"46380032\"]\n  6 [size=\"131331413\", alpha=\"0.09\", expect_size=\"39399424\"] \n  6 -> 9 [size =\"39399424\"]\n  7 [size=\"49288533\", alpha=\"0.05\", expect_size=\"14786560\"] \n  7 -> 10 [size =\"14786560\"]\n  8 [size=\"67085653\", alpha=\"0.05\", expect_size=\"20125696\"] \n  8 -> 10 [size =\"20125696\"]\n  9 [size=\"51042987\", alpha=\"0.01\", expect_size=\"15312896\"] \n  9 -> 11 [size =\"15312896\"]\n  9 -> 12 [size =\"15312896\"]\n  9 -> 13 [size =\"15312896\"]\n  10 [size=\"57890133\", alpha=\"0.00\", expect_size=\"17367040\"] \n  10 -> 11 [size =\"17367040\"]\n  11 [size=\"41400320\", alpha=\"0.08\", expect_size=\"12420096\"] \n  11 -> 14 [size =\"12420096\"]\n  12 [size=\"166191787\", alpha=\"0.10\", expect_size=\"49857536\"] \n  12 -> 14 [size =\"49857536\"]\n  12 -> 15 [size =\"49857536\"]\n  13 [size=\"101106347\", alpha=\"0.10\", expect_size=\"30331904\"] \n  13 -> 15 [size =\"30331904\"]\n  14 [size=\"125494613\", alpha=\"0.01\", expect_size=\"37648384\"] \n  14 -> 16 [size =\"37648384\"]\n  14 -> 17 [size =\"37648384\"]\n  15 [size=\"115831467\", alpha=\"0.03\", expect_size=\"34749440\"] \n  15 -> 17 [size =\"34749440\"]\n  16 [size=\"142803627\", alpha=\"0.06\", expect_size=\"42841088\"] \n  16 -> 18 [size =\"42841088\"]\n  16 -> 19 [size =\"42841088\"]\n  17 [size=\"53278720\", alpha=\"0.14\", expect_size=\"15983616\"] \n  17 -> 18 [size =\"15983616\"]\n  18 [size=\"90531840\", alpha=\"0.02\", expect_size=\"27159552\"] \n  18 -> 20 [size =\"27159552\"]\n  18 -> 21 [size =\"27159552\"]\n  19 [size=\"133703680\", alpha=\"0.11\", expect_size=\"40111104\"] \n  19 -> 20 [size =\"40111104\"]\n  19 -> 21 [size =\"40111104\"]\n  20 [size=\"144844800\", alpha=\"0.18\", expect_size=\"43453440\"] \n  20 -> 23 [size =\"43453440\"]\n  20 -> 24 [size =\"43453440\"]\n  21 [size=\"145271467\", alpha=\"0.02\", expect_size=\"43581440\"] \n  21 -> 22 [size =\"43581440\"]\n  21 -> 24 [size =\"43581440\"]\n  22 [size=\"54811307\", alpha=\"0.08\", expect_size=\"16443392\"] \n  23 [size=\"136618667\", alpha=\"0.05\", expect_size=\"40985600\"] \n  23 -> 25 [size =\"40985600\"]\n  23 -> 26 [size =\"40985600\"]\n  24 [size=\"59982507\", alpha=\"0.10\", expect_size=\"17994752\"] \n  24 -> 25 [size =\"17994752\"]\n  24 -> 26 [size =\"17994752\"]\n  25 [size=\"70898347\", alpha=\"0.12\", expect_size=\"21269504\"] \n  25 -> 28 [size =\"21269504\"]\n  25 -> 29 [size =\"21269504\"]\n  26 [size=\"95385600\", alpha=\"0.09\", expect_size=\"28615680\"] \n  26 -> 27 [size =\"28615680\"]\n  26 -> 29 [size =\"28615680\"]\n  27 [size=\"140021760\", alpha=\"0.10\", expect_size=\"42006528\"] \n  27 -> 31 [size =\"42006528\"]\n  28 [size=\"92719787\", alpha=\"0.17\", expect_size=\"27815936\"] \n  28 -> 30 [size =\"27815936\"]\n  28 -> 31 [size =\"27815936\"]\n  29 [size=\"110233600\", alpha=\"0.09\", expect_size=\"33070080\"] \n  30 [size=\"38645760\", alpha=\"0.05\", expect_size=\"11593728\"] \n  30 -> 32 [size =\"11593728\"]\n  30 -> 33 [size =\"11593728\"]\n  30 -> 34 [size =\"11593728\"]\n  31 [size=\"20251307\", alpha=\"0.05\", expect_size=\"6075392\"] \n  31 -> 32 [size =\"6075392\"]\n  31 -> 34 [size =\"6075392\"]\n  32 [size=\"32505173\", alpha=\"0.03\", expect_size=\"9751552\"] \n  32 -> 35 [size =\"9751552\"]\n  32 -> 36 [size =\"9751552\"]\n  33 [size=\"96853333\", alpha=\"0.12\", expect_size=\"29056000\"] \n  33 -> 35 [size =\"29056000\"]\n  33 -> 36 [size =\"29056000\"]\n  34 [size=\"137089707\", alpha=\"0.15\", expect_size=\"41126912\"] \n  35 [size=\"58436267\", alpha=\"0.11\", expect_size=\"17530880\"] \n  35 -> 38 [size =\"17530880\"]\n  36 [size=\"155303253\", alpha=\"0.02\", expect_size=\"46590976\"] \n  36 -> 37 [size =\"46590976\"]\n  36 -> 39 [size =\"46590976\"]\n  37 [size=\"69690027\", alpha=\"0.18\", expect_size=\"20907008\"] \n  37 -> 41 [size =\"20907008\"]\n  38 [size=\"147981653\", alpha=\"0.03\", expect_size=\"44394496\"] \n  39 [size=\"125218133\", alpha=\"0.03\", expect_size=\"37565440\"] \n  39 -> 40 [size =\"37565440\"]\n  39 -> 41 [size =\"37565440\"]\n  40 [size=\"34969600\", alpha=\"0.19\", expect_size=\"10490880\"] \n  40 -> 42 [size =\"10490880\"]\n  40 -> 43 [size =\"10490880\"]\n  40 -> 44 [size =\"10490880\"]\n  41 [size=\"74936320\", alpha=\"0.11\", expect_size=\"22480896\"] \n  41 -> 42 [size =\"22480896\"]\n  41 -> 43 [size =\"22480896\"]\n  42 [size=\"111762773\", alpha=\"0.09\", expect_size=\"33528832\"] \n  42 -> 47 [size =\"33528832\"]\n  43 [size=\"136874667\", alpha=\"0.01\", expect_size=\"41062400\"] \n  43 -> 46 [size =\"41062400\"]\n  43 -> 47 [size =\"41062400\"]\n  44 [size=\"76619093\", alpha=\"0.19\", expect_size=\"22985728\"] \n  44 -> 45 [size =\"22985728\"]\n  44 -> 46 [size =\"22985728\"]\n  44 -> 47 [size =\"22985728\"]\n  45 [size=\"39021227\", alpha=\"0.03\", expect_size=\"11706368\"] \n  45 -> 49 [size =\"11706368\"]\n  46 [size=\"122436267\", alpha=\"0.17\", expect_size=\"36730880\"] \n  46 -> 49 [size =\"36730880\"]\n  47 [size=\"137622187\", alpha=\"0.07\", expect_size=\"41286656\"] \n  47 -> 48 [size =\"41286656\"]\n  47 -> 49 [size =\"41286656\"]\n  47 -> 50 [size =\"41286656\"]\n  48 [size=\"120374613\", alpha=\"0.07\", expect_size=\"36112384\"] \n  49 [size=\"143759360\", alpha=\"0.18\", expect_size=\"43127808\"] \n  50 [size=\"166717440\", alpha=\"0.12\", expect_size=\"50015232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.236.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87746560\", alpha=\"0.04\", expect_size=\"35098624\"] \n  1 -> 34 [size =\"35098624\"]\n  1 -> 42 [size =\"35098624\"]\n  1 -> 50 [size =\"35098624\"]\n  2 [size=\"128801280\", alpha=\"0.01\", expect_size=\"51520512\"] \n  2 -> 34 [size =\"51520512\"]\n  2 -> 35 [size =\"51520512\"]\n  2 -> 38 [size =\"51520512\"]\n  2 -> 45 [size =\"51520512\"]\n  2 -> 48 [size =\"51520512\"]\n  3 [size=\"118694400\", alpha=\"0.13\", expect_size=\"47477760\"] \n  3 -> 35 [size =\"47477760\"]\n  3 -> 42 [size =\"47477760\"]\n  3 -> 43 [size =\"47477760\"]\n  3 -> 45 [size =\"47477760\"]\n  4 [size=\"109416960\", alpha=\"0.20\", expect_size=\"43766784\"] \n  4 -> 35 [size =\"43766784\"]\n  4 -> 38 [size =\"43766784\"]\n  4 -> 43 [size =\"43766784\"]\n  4 -> 44 [size =\"43766784\"]\n  4 -> 45 [size =\"43766784\"]\n  5 [size=\"131059200\", alpha=\"0.18\", expect_size=\"52423680\"] \n  5 -> 34 [size =\"52423680\"]\n  5 -> 35 [size =\"52423680\"]\n  5 -> 38 [size =\"52423680\"]\n  5 -> 48 [size =\"52423680\"]\n  6 [size=\"63549440\", alpha=\"0.04\", expect_size=\"25419776\"] \n  6 -> 35 [size =\"25419776\"]\n  6 -> 38 [size =\"25419776\"]\n  6 -> 43 [size =\"25419776\"]\n  6 -> 47 [size =\"25419776\"]\n  6 -> 48 [size =\"25419776\"]\n  7 [size=\"71467520\", alpha=\"0.14\", expect_size=\"28587008\"] \n  7 -> 33 [size =\"28587008\"]\n  7 -> 35 [size =\"28587008\"]\n  7 -> 43 [size =\"28587008\"]\n  8 [size=\"115829760\", alpha=\"0.11\", expect_size=\"46331904\"] \n  8 -> 33 [size =\"46331904\"]\n  8 -> 34 [size =\"46331904\"]\n  8 -> 35 [size =\"46331904\"]\n  8 -> 40 [size =\"46331904\"]\n  8 -> 45 [size =\"46331904\"]\n  8 -> 48 [size =\"46331904\"]\n  9 [size=\"63347200\", alpha=\"0.17\", expect_size=\"25338880\"] \n  9 -> 34 [size =\"25338880\"]\n  9 -> 40 [size =\"25338880\"]\n  9 -> 45 [size =\"25338880\"]\n  9 -> 46 [size =\"25338880\"]\n  9 -> 50 [size =\"25338880\"]\n  10 [size=\"14824960\", alpha=\"0.07\", expect_size=\"5929984\"] \n  10 -> 33 [size =\"5929984\"]\n  10 -> 36 [size =\"5929984\"]\n  10 -> 38 [size =\"5929984\"]\n  10 -> 39 [size =\"5929984\"]\n  10 -> 40 [size =\"5929984\"]\n  10 -> 42 [size =\"5929984\"]\n  10 -> 44 [size =\"5929984\"]\n  11 [size=\"109068800\", alpha=\"0.04\", expect_size=\"43627520\"] \n  11 -> 35 [size =\"43627520\"]\n  11 -> 38 [size =\"43627520\"]\n  11 -> 40 [size =\"43627520\"]\n  11 -> 42 [size =\"43627520\"]\n  11 -> 44 [size =\"43627520\"]\n  12 [size=\"16860160\", alpha=\"0.14\", expect_size=\"6744064\"] \n  12 -> 36 [size =\"6744064\"]\n  12 -> 40 [size =\"6744064\"]\n  12 -> 43 [size =\"6744064\"]\n  12 -> 45 [size =\"6744064\"]\n  12 -> 47 [size =\"6744064\"]\n  12 -> 48 [size =\"6744064\"]\n  13 [size=\"24704000\", alpha=\"0.13\", expect_size=\"9881600\"] \n  13 -> 35 [size =\"9881600\"]\n  13 -> 40 [size =\"9881600\"]\n  13 -> 42 [size =\"9881600\"]\n  13 -> 43 [size =\"9881600\"]\n  13 -> 45 [size =\"9881600\"]\n  14 [size=\"99018240\", alpha=\"0.00\", expect_size=\"39607296\"] \n  14 -> 35 [size =\"39607296\"]\n  14 -> 40 [size =\"39607296\"]\n  14 -> 42 [size =\"39607296\"]\n  14 -> 48 [size =\"39607296\"]\n  15 [size=\"98928640\", alpha=\"0.14\", expect_size=\"39571456\"] \n  15 -> 34 [size =\"39571456\"]\n  15 -> 36 [size =\"39571456\"]\n  15 -> 40 [size =\"39571456\"]\n  15 -> 46 [size =\"39571456\"]\n  15 -> 50 [size =\"39571456\"]\n  16 [size=\"87636480\", alpha=\"0.01\", expect_size=\"35054592\"] \n  16 -> 35 [size =\"35054592\"]\n  16 -> 36 [size =\"35054592\"]\n  16 -> 38 [size =\"35054592\"]\n  16 -> 39 [size =\"35054592\"]\n  16 -> 40 [size =\"35054592\"]\n  16 -> 42 [size =\"35054592\"]\n  17 [size=\"113139200\", alpha=\"0.11\", expect_size=\"45255680\"] \n  17 -> 33 [size =\"45255680\"]\n  17 -> 36 [size =\"45255680\"]\n  17 -> 39 [size =\"45255680\"]\n  17 -> 40 [size =\"45255680\"]\n  17 -> 40 [size =\"45255680\"]\n  17 -> 46 [size =\"45255680\"]\n  18 [size=\"77299200\", alpha=\"0.02\", expect_size=\"30919680\"] \n  18 -> 37 [size =\"30919680\"]\n  18 -> 39 [size =\"30919680\"]\n  18 -> 40 [size =\"30919680\"]\n  18 -> 43 [size =\"30919680\"]\n  19 [size=\"23234560\", alpha=\"0.20\", expect_size=\"9293824\"] \n  19 -> 33 [size =\"9293824\"]\n  19 -> 42 [size =\"9293824\"]\n  19 -> 45 [size =\"9293824\"]\n  20 [size=\"121932800\", alpha=\"0.15\", expect_size=\"48773120\"] \n  20 -> 40 [size =\"48773120\"]\n  20 -> 45 [size =\"48773120\"]\n  20 -> 49 [size =\"48773120\"]\n  21 [size=\"43658240\", alpha=\"0.04\", expect_size=\"17463296\"] \n  21 -> 40 [size =\"17463296\"]\n  21 -> 45 [size =\"17463296\"]\n  21 -> 46 [size =\"17463296\"]\n  22 [size=\"68308480\", alpha=\"0.12\", expect_size=\"27323392\"] \n  22 -> 33 [size =\"27323392\"]\n  22 -> 44 [size =\"27323392\"]\n  22 -> 45 [size =\"27323392\"]\n  22 -> 46 [size =\"27323392\"]\n  22 -> 47 [size =\"27323392\"]\n  22 -> 48 [size =\"27323392\"]\n  23 [size=\"31680000\", alpha=\"0.17\", expect_size=\"12672000\"] \n  23 -> 45 [size =\"12672000\"]\n  24 [size=\"109982720\", alpha=\"0.19\", expect_size=\"43993088\"] \n  24 -> 38 [size =\"43993088\"]\n  24 -> 41 [size =\"43993088\"]\n  24 -> 44 [size =\"43993088\"]\n  24 -> 46 [size =\"43993088\"]\n  25 [size=\"110282240\", alpha=\"0.02\", expect_size=\"44112896\"] \n  25 -> 35 [size =\"44112896\"]\n  25 -> 36 [size =\"44112896\"]\n  25 -> 40 [size =\"44112896\"]\n  25 -> 43 [size =\"44112896\"]\n  26 [size=\"76800000\", alpha=\"0.12\", expect_size=\"30720000\"] \n  26 -> 33 [size =\"30720000\"]\n  26 -> 34 [size =\"30720000\"]\n  26 -> 37 [size =\"30720000\"]\n  26 -> 40 [size =\"30720000\"]\n  26 -> 41 [size =\"30720000\"]\n  26 -> 43 [size =\"30720000\"]\n  26 -> 45 [size =\"30720000\"]\n  26 -> 46 [size =\"30720000\"]\n  27 [size=\"80568320\", alpha=\"0.13\", expect_size=\"32227328\"] \n  27 -> 33 [size =\"32227328\"]\n  27 -> 34 [size =\"32227328\"]\n  27 -> 38 [size =\"32227328\"]\n  27 -> 41 [size =\"32227328\"]\n  27 -> 46 [size =\"32227328\"]\n  28 [size=\"28572160\", alpha=\"0.11\", expect_size=\"11428864\"] \n  28 -> 33 [size =\"11428864\"]\n  28 -> 43 [size =\"11428864\"]\n  28 -> 46 [size =\"11428864\"]\n  28 -> 48 [size =\"11428864\"]\n  28 -> 50 [size =\"11428864\"]\n  29 [size=\"41466880\", alpha=\"0.17\", expect_size=\"16586752\"] \n  29 -> 47 [size =\"16586752\"]\n  29 -> 48 [size =\"16586752\"]\n  30 [size=\"39966720\", alpha=\"0.04\", expect_size=\"15986688\"] \n  30 -> 38 [size =\"15986688\"]\n  30 -> 40 [size =\"15986688\"]\n  30 -> 42 [size =\"15986688\"]\n  30 -> 43 [size =\"15986688\"]\n  30 -> 46 [size =\"15986688\"]\n  30 -> 47 [size =\"15986688\"]\n  30 -> 48 [size =\"15986688\"]\n  31 [size=\"130629120\", alpha=\"0.07\", expect_size=\"52251648\"] \n  31 -> 40 [size =\"52251648\"]\n  31 -> 42 [size =\"52251648\"]\n  31 -> 43 [size =\"52251648\"]\n  31 -> 50 [size =\"52251648\"]\n  32 [size=\"34206720\", alpha=\"0.11\", expect_size=\"13682688\"] \n  32 -> 40 [size =\"13682688\"]\n  32 -> 42 [size =\"13682688\"]\n  32 -> 43 [size =\"13682688\"]\n  33 [size=\"102323200\", alpha=\"0.17\", expect_size=\"40929280\"] \n  34 [size=\"86673920\", alpha=\"0.17\", expect_size=\"34669568\"] \n  35 [size=\"83568640\", alpha=\"0.12\", expect_size=\"33427456\"] \n  36 [size=\"92997120\", alpha=\"0.19\", expect_size=\"37198848\"] \n  37 [size=\"47436800\", alpha=\"0.03\", expect_size=\"18974720\"] \n  38 [size=\"123215360\", alpha=\"0.19\", expect_size=\"49286144\"] \n  39 [size=\"69158400\", alpha=\"0.16\", expect_size=\"27663360\"] \n  40 [size=\"53478400\", alpha=\"0.11\", expect_size=\"21391360\"] \n  41 [size=\"77890560\", alpha=\"0.12\", expect_size=\"31156224\"] \n  42 [size=\"120394240\", alpha=\"0.02\", expect_size=\"48157696\"] \n  43 [size=\"66777600\", alpha=\"0.15\", expect_size=\"26711040\"] \n  44 [size=\"46604800\", alpha=\"0.04\", expect_size=\"18641920\"] \n  45 [size=\"27827200\", alpha=\"0.10\", expect_size=\"11130880\"] \n  46 [size=\"96261120\", alpha=\"0.07\", expect_size=\"38504448\"] \n  47 [size=\"90516480\", alpha=\"0.15\", expect_size=\"36206592\"] \n  48 [size=\"110620160\", alpha=\"0.06\", expect_size=\"44248064\"] \n  49 [size=\"102804480\", alpha=\"0.02\", expect_size=\"41121792\"] \n  50 [size=\"77196800\", alpha=\"0.02\", expect_size=\"30878720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.237.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22591488\", alpha=\"0.15\", expect_size=\"11295744\"] \n  1 -> 2 [size =\"11295744\"]\n  2 [size=\"33153024\", alpha=\"0.15\", expect_size=\"16576512\"] \n  2 -> 3 [size =\"16576512\"]\n  3 [size=\"81461248\", alpha=\"0.11\", expect_size=\"40730624\"] \n  3 -> 4 [size =\"40730624\"]\n  4 [size=\"84754432\", alpha=\"0.01\", expect_size=\"42377216\"] \n  4 -> 5 [size =\"42377216\"]\n  5 [size=\"61462528\", alpha=\"0.07\", expect_size=\"30731264\"] \n  5 -> 6 [size =\"30731264\"]\n  6 [size=\"39557120\", alpha=\"0.10\", expect_size=\"19778560\"] \n  6 -> 7 [size =\"19778560\"]\n  7 [size=\"36982784\", alpha=\"0.14\", expect_size=\"18491392\"] \n  7 -> 8 [size =\"18491392\"]\n  8 [size=\"48211968\", alpha=\"0.01\", expect_size=\"24105984\"] \n  8 -> 9 [size =\"24105984\"]\n  9 [size=\"25882624\", alpha=\"0.18\", expect_size=\"12941312\"] \n  9 -> 10 [size =\"12941312\"]\n  10 [size=\"16441344\", alpha=\"0.14\", expect_size=\"8220672\"] \n  10 -> 11 [size =\"8220672\"]\n  11 [size=\"26503168\", alpha=\"0.03\", expect_size=\"13251584\"] \n  11 -> 12 [size =\"13251584\"]\n  12 [size=\"97075200\", alpha=\"0.04\", expect_size=\"48537600\"] \n  12 -> 13 [size =\"48537600\"]\n  13 [size=\"74782720\", alpha=\"0.03\", expect_size=\"37391360\"] \n  13 -> 14 [size =\"37391360\"]\n  14 [size=\"31465472\", alpha=\"0.05\", expect_size=\"15732736\"] \n  14 -> 15 [size =\"15732736\"]\n  15 [size=\"37562368\", alpha=\"0.02\", expect_size=\"18781184\"] \n  15 -> 16 [size =\"18781184\"]\n  16 [size=\"68577280\", alpha=\"0.07\", expect_size=\"34288640\"] \n  16 -> 17 [size =\"34288640\"]\n  17 [size=\"23107584\", alpha=\"0.13\", expect_size=\"11553792\"] \n  17 -> 18 [size =\"11553792\"]\n  18 [size=\"90841088\", alpha=\"0.13\", expect_size=\"45420544\"] \n  18 -> 19 [size =\"45420544\"]\n  19 [size=\"96729088\", alpha=\"0.19\", expect_size=\"48364544\"] \n  19 -> 20 [size =\"48364544\"]\n  20 [size=\"86945792\", alpha=\"0.17\", expect_size=\"43472896\"] \n  20 -> 21 [size =\"43472896\"]\n  21 [size=\"58071040\", alpha=\"0.17\", expect_size=\"29035520\"] \n  21 -> 22 [size =\"29035520\"]\n  22 [size=\"71348224\", alpha=\"0.02\", expect_size=\"35674112\"] \n  22 -> 23 [size =\"35674112\"]\n  23 [size=\"91353088\", alpha=\"0.02\", expect_size=\"45676544\"] \n  23 -> 24 [size =\"45676544\"]\n  24 [size=\"104845312\", alpha=\"0.17\", expect_size=\"52422656\"] \n  24 -> 25 [size =\"52422656\"]\n  25 [size=\"32509952\", alpha=\"0.04\", expect_size=\"16254976\"] \n  25 -> 26 [size =\"16254976\"]\n  26 [size=\"43098112\", alpha=\"0.16\", expect_size=\"21549056\"] \n  26 -> 27 [size =\"21549056\"]\n  27 [size=\"77998080\", alpha=\"0.15\", expect_size=\"38999040\"] \n  27 -> 28 [size =\"38999040\"]\n  28 [size=\"46639104\", alpha=\"0.01\", expect_size=\"23319552\"] \n  28 -> 29 [size =\"23319552\"]\n  29 [size=\"14610432\", alpha=\"0.11\", expect_size=\"7305216\"] \n  29 -> 30 [size =\"7305216\"]\n  30 [size=\"10641408\", alpha=\"0.01\", expect_size=\"5320704\"] \n  30 -> 31 [size =\"5320704\"]\n  31 [size=\"89430016\", alpha=\"0.16\", expect_size=\"44715008\"] \n  31 -> 32 [size =\"44715008\"]\n  32 [size=\"74338304\", alpha=\"0.08\", expect_size=\"37169152\"] \n  32 -> 33 [size =\"37169152\"]\n  33 [size=\"82407424\", alpha=\"0.14\", expect_size=\"41203712\"] \n  33 -> 34 [size =\"41203712\"]\n  34 [size=\"90243072\", alpha=\"0.05\", expect_size=\"45121536\"] \n  34 -> 35 [size =\"45121536\"]\n  35 [size=\"77740032\", alpha=\"0.01\", expect_size=\"38870016\"] \n  35 -> 36 [size =\"38870016\"]\n  36 [size=\"95879168\", alpha=\"0.10\", expect_size=\"47939584\"] \n  36 -> 37 [size =\"47939584\"]\n  37 [size=\"79357952\", alpha=\"0.01\", expect_size=\"39678976\"] \n  37 -> 38 [size =\"39678976\"]\n  38 [size=\"54677504\", alpha=\"0.10\", expect_size=\"27338752\"] \n  38 -> 39 [size =\"27338752\"]\n  39 [size=\"59561984\", alpha=\"0.16\", expect_size=\"29780992\"] \n  39 -> 40 [size =\"29780992\"]\n  40 [size=\"15040512\", alpha=\"0.19\", expect_size=\"7520256\"] \n  40 -> 41 [size =\"7520256\"]\n  41 [size=\"21438464\", alpha=\"0.12\", expect_size=\"10719232\"] \n  41 -> 42 [size =\"10719232\"]\n  42 [size=\"94773248\", alpha=\"0.18\", expect_size=\"47386624\"] \n  42 -> 43 [size =\"47386624\"]\n  43 [size=\"38522880\", alpha=\"0.01\", expect_size=\"19261440\"] \n  43 -> 44 [size =\"19261440\"]\n  44 [size=\"11354112\", alpha=\"0.04\", expect_size=\"5677056\"] \n  44 -> 45 [size =\"5677056\"]\n  45 [size=\"34246656\", alpha=\"0.11\", expect_size=\"17123328\"] \n  45 -> 46 [size =\"17123328\"]\n  46 [size=\"39905280\", alpha=\"0.06\", expect_size=\"19952640\"] \n  46 -> 47 [size =\"19952640\"]\n  47 [size=\"86425600\", alpha=\"0.15\", expect_size=\"43212800\"] \n  47 -> 48 [size =\"43212800\"]\n  48 [size=\"92055552\", alpha=\"0.11\", expect_size=\"46027776\"] \n  48 -> 49 [size =\"46027776\"]\n  49 [size=\"42782720\", alpha=\"0.09\", expect_size=\"21391360\"] \n  49 -> 50 [size =\"21391360\"]\n  50 [size=\"24848384\", alpha=\"0.06\", expect_size=\"12424192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.238.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65576960\", alpha=\"0.16\", expect_size=\"32788480\"] \n  1 -> 8 [size =\"32788480\"]\n  2 [size=\"33034240\", alpha=\"0.07\", expect_size=\"16517120\"] \n  2 -> 5 [size =\"16517120\"]\n  2 -> 6 [size =\"16517120\"]\n  2 -> 8 [size =\"16517120\"]\n  3 [size=\"54157312\", alpha=\"0.15\", expect_size=\"27078656\"] \n  3 -> 7 [size =\"27078656\"]\n  4 [size=\"72183808\", alpha=\"0.05\", expect_size=\"36091904\"] \n  4 -> 6 [size =\"36091904\"]\n  5 [size=\"33005568\", alpha=\"0.04\", expect_size=\"16502784\"] \n  5 -> 10 [size =\"16502784\"]\n  5 -> 11 [size =\"16502784\"]\n  5 -> 12 [size =\"16502784\"]\n  6 [size=\"18147328\", alpha=\"0.03\", expect_size=\"9073664\"] \n  6 -> 9 [size =\"9073664\"]\n  6 -> 11 [size =\"9073664\"]\n  7 [size=\"52420608\", alpha=\"0.08\", expect_size=\"26210304\"] \n  7 -> 9 [size =\"26210304\"]\n  8 [size=\"16183296\", alpha=\"0.11\", expect_size=\"8091648\"] \n  9 [size=\"12670976\", alpha=\"0.16\", expect_size=\"6335488\"] \n  9 -> 13 [size =\"6335488\"]\n  10 [size=\"56532992\", alpha=\"0.18\", expect_size=\"28266496\"] \n  10 -> 13 [size =\"28266496\"]\n  10 -> 15 [size =\"28266496\"]\n  11 [size=\"102090752\", alpha=\"0.05\", expect_size=\"51045376\"] \n  11 -> 14 [size =\"51045376\"]\n  12 [size=\"81485824\", alpha=\"0.05\", expect_size=\"40742912\"] \n  13 [size=\"20334592\", alpha=\"0.14\", expect_size=\"10167296\"] \n  13 -> 17 [size =\"10167296\"]\n  14 [size=\"92116992\", alpha=\"0.08\", expect_size=\"46058496\"] \n  14 -> 17 [size =\"46058496\"]\n  14 -> 18 [size =\"46058496\"]\n  15 [size=\"22681600\", alpha=\"0.00\", expect_size=\"11340800\"] \n  15 -> 16 [size =\"11340800\"]\n  15 -> 18 [size =\"11340800\"]\n  15 -> 19 [size =\"11340800\"]\n  16 [size=\"42840064\", alpha=\"0.06\", expect_size=\"21420032\"] \n  17 [size=\"58482688\", alpha=\"0.10\", expect_size=\"29241344\"] \n  18 [size=\"97114112\", alpha=\"0.00\", expect_size=\"48557056\"] \n  18 -> 20 [size =\"48557056\"]\n  19 [size=\"56860672\", alpha=\"0.09\", expect_size=\"28430336\"] \n  19 -> 21 [size =\"28430336\"]\n  20 [size=\"35639296\", alpha=\"0.09\", expect_size=\"17819648\"] \n  20 -> 22 [size =\"17819648\"]\n  21 [size=\"26214400\", alpha=\"0.00\", expect_size=\"13107200\"] \n  21 -> 23 [size =\"13107200\"]\n  21 -> 24 [size =\"13107200\"]\n  21 -> 25 [size =\"13107200\"]\n  22 [size=\"50442240\", alpha=\"0.17\", expect_size=\"25221120\"] \n  22 -> 27 [size =\"25221120\"]\n  23 [size=\"74571776\", alpha=\"0.02\", expect_size=\"37285888\"] \n  23 -> 26 [size =\"37285888\"]\n  24 [size=\"46682112\", alpha=\"0.01\", expect_size=\"23341056\"] \n  25 [size=\"84338688\", alpha=\"0.04\", expect_size=\"42169344\"] \n  26 [size=\"86646784\", alpha=\"0.09\", expect_size=\"43323392\"] \n  26 -> 29 [size =\"43323392\"]\n  26 -> 30 [size =\"43323392\"]\n  27 [size=\"20582400\", alpha=\"0.03\", expect_size=\"10291200\"] \n  27 -> 28 [size =\"10291200\"]\n  28 [size=\"67469312\", alpha=\"0.19\", expect_size=\"33734656\"] \n  28 -> 31 [size =\"33734656\"]\n  28 -> 32 [size =\"33734656\"]\n  29 [size=\"67756032\", alpha=\"0.14\", expect_size=\"33878016\"] \n  29 -> 31 [size =\"33878016\"]\n  30 [size=\"15769600\", alpha=\"0.20\", expect_size=\"7884800\"] \n  31 [size=\"57563136\", alpha=\"0.04\", expect_size=\"28781568\"] \n  32 [size=\"59482112\", alpha=\"0.04\", expect_size=\"29741056\"] \n  32 -> 33 [size =\"29741056\"]\n  33 [size=\"44077056\", alpha=\"0.06\", expect_size=\"22038528\"] \n  33 -> 34 [size =\"22038528\"]\n  33 -> 35 [size =\"22038528\"]\n  33 -> 36 [size =\"22038528\"]\n  33 -> 37 [size =\"22038528\"]\n  34 [size=\"55023616\", alpha=\"0.05\", expect_size=\"27511808\"] \n  34 -> 40 [size =\"27511808\"]\n  35 [size=\"59645952\", alpha=\"0.07\", expect_size=\"29822976\"] \n  35 -> 38 [size =\"29822976\"]\n  35 -> 40 [size =\"29822976\"]\n  36 [size=\"80467968\", alpha=\"0.16\", expect_size=\"40233984\"] \n  36 -> 38 [size =\"40233984\"]\n  36 -> 39 [size =\"40233984\"]\n  36 -> 41 [size =\"40233984\"]\n  37 [size=\"30779392\", alpha=\"0.15\", expect_size=\"15389696\"] \n  37 -> 39 [size =\"15389696\"]\n  38 [size=\"46884864\", alpha=\"0.12\", expect_size=\"23442432\"] \n  38 -> 43 [size =\"23442432\"]\n  39 [size=\"40114176\", alpha=\"0.19\", expect_size=\"20057088\"] \n  39 -> 42 [size =\"20057088\"]\n  40 [size=\"12648448\", alpha=\"0.11\", expect_size=\"6324224\"] \n  41 [size=\"10539008\", alpha=\"0.07\", expect_size=\"5269504\"] \n  41 -> 42 [size =\"5269504\"]\n  41 -> 43 [size =\"5269504\"]\n  42 [size=\"31016960\", alpha=\"0.11\", expect_size=\"15508480\"] \n  42 -> 44 [size =\"15508480\"]\n  43 [size=\"50716672\", alpha=\"0.09\", expect_size=\"25358336\"] \n  43 -> 45 [size =\"25358336\"]\n  44 [size=\"79482880\", alpha=\"0.14\", expect_size=\"39741440\"] \n  45 [size=\"104581120\", alpha=\"0.15\", expect_size=\"52290560\"] \n  45 -> 46 [size =\"52290560\"]\n  45 -> 47 [size =\"52290560\"]\n  45 -> 48 [size =\"52290560\"]\n  46 [size=\"43833344\", alpha=\"0.12\", expect_size=\"21916672\"] \n  46 -> 49 [size =\"21916672\"]\n  47 [size=\"23965696\", alpha=\"0.12\", expect_size=\"11982848\"] \n  48 [size=\"92981248\", alpha=\"0.03\", expect_size=\"46490624\"] \n  49 [size=\"54386688\", alpha=\"0.07\", expect_size=\"27193344\"] \n  49 -> 50 [size =\"27193344\"]\n  50 [size=\"48932864\", alpha=\"0.11\", expect_size=\"24466432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.239.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87652352\", alpha=\"0.13\", expect_size=\"43826176\"] \n  1 -> 12 [size =\"43826176\"]\n  1 -> 17 [size =\"43826176\"]\n  1 -> 20 [size =\"43826176\"]\n  1 -> 21 [size =\"43826176\"]\n  2 [size=\"88893440\", alpha=\"0.10\", expect_size=\"44446720\"] \n  2 -> 13 [size =\"44446720\"]\n  2 -> 16 [size =\"44446720\"]\n  2 -> 20 [size =\"44446720\"]\n  2 -> 21 [size =\"44446720\"]\n  2 -> 22 [size =\"44446720\"]\n  2 -> 24 [size =\"44446720\"]\n  3 [size=\"74643456\", alpha=\"0.15\", expect_size=\"37321728\"] \n  3 -> 14 [size =\"37321728\"]\n  3 -> 17 [size =\"37321728\"]\n  3 -> 22 [size =\"37321728\"]\n  3 -> 24 [size =\"37321728\"]\n  3 -> 28 [size =\"37321728\"]\n  4 [size=\"86132736\", alpha=\"0.09\", expect_size=\"43066368\"] \n  4 -> 12 [size =\"43066368\"]\n  4 -> 14 [size =\"43066368\"]\n  4 -> 17 [size =\"43066368\"]\n  4 -> 19 [size =\"43066368\"]\n  4 -> 22 [size =\"43066368\"]\n  4 -> 23 [size =\"43066368\"]\n  4 -> 24 [size =\"43066368\"]\n  5 [size=\"103348224\", alpha=\"0.19\", expect_size=\"51674112\"] \n  5 -> 13 [size =\"51674112\"]\n  5 -> 14 [size =\"51674112\"]\n  5 -> 17 [size =\"51674112\"]\n  5 -> 18 [size =\"51674112\"]\n  5 -> 19 [size =\"51674112\"]\n  5 -> 22 [size =\"51674112\"]\n  6 [size=\"27039744\", alpha=\"0.17\", expect_size=\"13519872\"] \n  6 -> 12 [size =\"13519872\"]\n  6 -> 19 [size =\"13519872\"]\n  6 -> 20 [size =\"13519872\"]\n  6 -> 21 [size =\"13519872\"]\n  6 -> 22 [size =\"13519872\"]\n  7 [size=\"95320064\", alpha=\"0.18\", expect_size=\"47660032\"] \n  7 -> 12 [size =\"47660032\"]\n  7 -> 13 [size =\"47660032\"]\n  7 -> 14 [size =\"47660032\"]\n  7 -> 15 [size =\"47660032\"]\n  7 -> 19 [size =\"47660032\"]\n  7 -> 25 [size =\"47660032\"]\n  8 [size=\"48295936\", alpha=\"0.01\", expect_size=\"24147968\"] \n  8 -> 12 [size =\"24147968\"]\n  8 -> 13 [size =\"24147968\"]\n  8 -> 15 [size =\"24147968\"]\n  8 -> 18 [size =\"24147968\"]\n  8 -> 24 [size =\"24147968\"]\n  8 -> 26 [size =\"24147968\"]\n  8 -> 28 [size =\"24147968\"]\n  9 [size=\"92737536\", alpha=\"0.09\", expect_size=\"46368768\"] \n  9 -> 15 [size =\"46368768\"]\n  9 -> 22 [size =\"46368768\"]\n  9 -> 23 [size =\"46368768\"]\n  9 -> 28 [size =\"46368768\"]\n  10 [size=\"12126208\", alpha=\"0.08\", expect_size=\"6063104\"] \n  10 -> 12 [size =\"6063104\"]\n  10 -> 14 [size =\"6063104\"]\n  10 -> 15 [size =\"6063104\"]\n  10 -> 17 [size =\"6063104\"]\n  10 -> 18 [size =\"6063104\"]\n  10 -> 19 [size =\"6063104\"]\n  10 -> 21 [size =\"6063104\"]\n  10 -> 26 [size =\"6063104\"]\n  10 -> 28 [size =\"6063104\"]\n  11 [size=\"86495232\", alpha=\"0.14\", expect_size=\"43247616\"] \n  11 -> 12 [size =\"43247616\"]\n  11 -> 15 [size =\"43247616\"]\n  11 -> 19 [size =\"43247616\"]\n  11 -> 22 [size =\"43247616\"]\n  11 -> 27 [size =\"43247616\"]\n  11 -> 28 [size =\"43247616\"]\n  12 [size=\"52574208\", alpha=\"0.18\", expect_size=\"26287104\"] \n  12 -> 31 [size =\"26287104\"]\n  12 -> 32 [size =\"26287104\"]\n  12 -> 36 [size =\"26287104\"]\n  12 -> 42 [size =\"26287104\"]\n  12 -> 43 [size =\"26287104\"]\n  12 -> 46 [size =\"26287104\"]\n  13 [size=\"97402880\", alpha=\"0.04\", expect_size=\"48701440\"] \n  13 -> 31 [size =\"48701440\"]\n  13 -> 32 [size =\"48701440\"]\n  13 -> 40 [size =\"48701440\"]\n  13 -> 42 [size =\"48701440\"]\n  13 -> 43 [size =\"48701440\"]\n  14 [size=\"72669184\", alpha=\"0.13\", expect_size=\"36334592\"] \n  14 -> 32 [size =\"36334592\"]\n  14 -> 35 [size =\"36334592\"]\n  14 -> 39 [size =\"36334592\"]\n  14 -> 40 [size =\"36334592\"]\n  15 [size=\"21813248\", alpha=\"0.13\", expect_size=\"10906624\"] \n  15 -> 32 [size =\"10906624\"]\n  15 -> 40 [size =\"10906624\"]\n  15 -> 41 [size =\"10906624\"]\n  16 [size=\"18329600\", alpha=\"0.01\", expect_size=\"9164800\"] \n  16 -> 32 [size =\"9164800\"]\n  16 -> 34 [size =\"9164800\"]\n  16 -> 36 [size =\"9164800\"]\n  16 -> 39 [size =\"9164800\"]\n  16 -> 43 [size =\"9164800\"]\n  17 [size=\"97464320\", alpha=\"0.03\", expect_size=\"48732160\"] \n  17 -> 35 [size =\"48732160\"]\n  17 -> 40 [size =\"48732160\"]\n  17 -> 41 [size =\"48732160\"]\n  17 -> 45 [size =\"48732160\"]\n  18 [size=\"89065472\", alpha=\"0.16\", expect_size=\"44532736\"] \n  18 -> 29 [size =\"44532736\"]\n  18 -> 39 [size =\"44532736\"]\n  18 -> 41 [size =\"44532736\"]\n  18 -> 44 [size =\"44532736\"]\n  19 [size=\"92014592\", alpha=\"0.14\", expect_size=\"46007296\"] \n  19 -> 30 [size =\"46007296\"]\n  19 -> 34 [size =\"46007296\"]\n  19 -> 40 [size =\"46007296\"]\n  19 -> 42 [size =\"46007296\"]\n  20 [size=\"40486912\", alpha=\"0.07\", expect_size=\"20243456\"] \n  20 -> 30 [size =\"20243456\"]\n  20 -> 32 [size =\"20243456\"]\n  20 -> 35 [size =\"20243456\"]\n  20 -> 36 [size =\"20243456\"]\n  20 -> 39 [size =\"20243456\"]\n  21 [size=\"78047232\", alpha=\"0.16\", expect_size=\"39023616\"] \n  21 -> 36 [size =\"39023616\"]\n  21 -> 39 [size =\"39023616\"]\n  21 -> 41 [size =\"39023616\"]\n  21 -> 43 [size =\"39023616\"]\n  22 [size=\"49573888\", alpha=\"0.02\", expect_size=\"24786944\"] \n  22 -> 31 [size =\"24786944\"]\n  22 -> 39 [size =\"24786944\"]\n  22 -> 41 [size =\"24786944\"]\n  22 -> 43 [size =\"24786944\"]\n  23 [size=\"42016768\", alpha=\"0.02\", expect_size=\"21008384\"] \n  23 -> 31 [size =\"21008384\"]\n  23 -> 34 [size =\"21008384\"]\n  23 -> 35 [size =\"21008384\"]\n  23 -> 38 [size =\"21008384\"]\n  23 -> 41 [size =\"21008384\"]\n  24 [size=\"60911616\", alpha=\"0.17\", expect_size=\"30455808\"] \n  24 -> 30 [size =\"30455808\"]\n  24 -> 34 [size =\"30455808\"]\n  24 -> 37 [size =\"30455808\"]\n  24 -> 42 [size =\"30455808\"]\n  24 -> 44 [size =\"30455808\"]\n  25 [size=\"27017216\", alpha=\"0.13\", expect_size=\"13508608\"] \n  25 -> 30 [size =\"13508608\"]\n  25 -> 32 [size =\"13508608\"]\n  25 -> 34 [size =\"13508608\"]\n  25 -> 41 [size =\"13508608\"]\n  25 -> 46 [size =\"13508608\"]\n  26 [size=\"87750656\", alpha=\"0.11\", expect_size=\"43875328\"] \n  26 -> 33 [size =\"43875328\"]\n  26 -> 35 [size =\"43875328\"]\n  26 -> 41 [size =\"43875328\"]\n  26 -> 42 [size =\"43875328\"]\n  27 [size=\"93413376\", alpha=\"0.08\", expect_size=\"46706688\"] \n  27 -> 32 [size =\"46706688\"]\n  27 -> 34 [size =\"46706688\"]\n  27 -> 35 [size =\"46706688\"]\n  27 -> 40 [size =\"46706688\"]\n  27 -> 41 [size =\"46706688\"]\n  27 -> 44 [size =\"46706688\"]\n  27 -> 45 [size =\"46706688\"]\n  28 [size=\"12519424\", alpha=\"0.13\", expect_size=\"6259712\"] \n  28 -> 31 [size =\"6259712\"]\n  28 -> 32 [size =\"6259712\"]\n  28 -> 37 [size =\"6259712\"]\n  28 -> 40 [size =\"6259712\"]\n  28 -> 44 [size =\"6259712\"]\n  28 -> 45 [size =\"6259712\"]\n  28 -> 46 [size =\"6259712\"]\n  29 [size=\"88940544\", alpha=\"0.15\", expect_size=\"44470272\"] \n  29 -> 48 [size =\"44470272\"]\n  29 -> 49 [size =\"44470272\"]\n  30 [size=\"59359232\", alpha=\"0.18\", expect_size=\"29679616\"] \n  30 -> 49 [size =\"29679616\"]\n  31 [size=\"91129856\", alpha=\"0.16\", expect_size=\"45564928\"] \n  31 -> 49 [size =\"45564928\"]\n  31 -> 50 [size =\"45564928\"]\n  32 [size=\"72677376\", alpha=\"0.04\", expect_size=\"36338688\"] \n  33 [size=\"82407424\", alpha=\"0.10\", expect_size=\"41203712\"] \n  34 [size=\"90107904\", alpha=\"0.09\", expect_size=\"45053952\"] \n  34 -> 49 [size =\"45053952\"]\n  35 [size=\"77058048\", alpha=\"0.11\", expect_size=\"38529024\"] \n  35 -> 47 [size =\"38529024\"]\n  36 [size=\"41748480\", alpha=\"0.14\", expect_size=\"20874240\"] \n  36 -> 48 [size =\"20874240\"]\n  36 -> 50 [size =\"20874240\"]\n  37 [size=\"95102976\", alpha=\"0.16\", expect_size=\"47551488\"] \n  37 -> 48 [size =\"47551488\"]\n  37 -> 50 [size =\"47551488\"]\n  38 [size=\"38846464\", alpha=\"0.14\", expect_size=\"19423232\"] \n  38 -> 48 [size =\"19423232\"]\n  38 -> 49 [size =\"19423232\"]\n  39 [size=\"99530752\", alpha=\"0.10\", expect_size=\"49765376\"] \n  39 -> 49 [size =\"49765376\"]\n  40 [size=\"76292096\", alpha=\"0.12\", expect_size=\"38146048\"] \n  40 -> 49 [size =\"38146048\"]\n  40 -> 50 [size =\"38146048\"]\n  41 [size=\"65146880\", alpha=\"0.08\", expect_size=\"32573440\"] \n  41 -> 47 [size =\"32573440\"]\n  41 -> 49 [size =\"32573440\"]\n  41 -> 50 [size =\"32573440\"]\n  42 [size=\"47730688\", alpha=\"0.12\", expect_size=\"23865344\"] \n  42 -> 47 [size =\"23865344\"]\n  42 -> 50 [size =\"23865344\"]\n  43 [size=\"66134016\", alpha=\"0.04\", expect_size=\"33067008\"] \n  43 -> 47 [size =\"33067008\"]\n  43 -> 49 [size =\"33067008\"]\n  43 -> 50 [size =\"33067008\"]\n  44 [size=\"18530304\", alpha=\"0.06\", expect_size=\"9265152\"] \n  44 -> 47 [size =\"9265152\"]\n  45 [size=\"61478912\", alpha=\"0.11\", expect_size=\"30739456\"] \n  45 -> 47 [size =\"30739456\"]\n  45 -> 49 [size =\"30739456\"]\n  45 -> 50 [size =\"30739456\"]\n  46 [size=\"17563648\", alpha=\"0.13\", expect_size=\"8781824\"] \n  46 -> 47 [size =\"8781824\"]\n  46 -> 49 [size =\"8781824\"]\n  47 [size=\"83372032\", alpha=\"0.12\", expect_size=\"41686016\"] \n  48 [size=\"62771200\", alpha=\"0.12\", expect_size=\"31385600\"] \n  49 [size=\"34338816\", alpha=\"0.09\", expect_size=\"17169408\"] \n  50 [size=\"79605760\", alpha=\"0.15\", expect_size=\"39802880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67448320\", alpha=\"0.16\", expect_size=\"26979328\"] \n  1 -> 2 [size =\"26979328\"]\n  2 [size=\"51824640\", alpha=\"0.10\", expect_size=\"20729856\"] \n  2 -> 3 [size =\"20729856\"]\n  3 [size=\"94712320\", alpha=\"0.03\", expect_size=\"37884928\"] \n  3 -> 4 [size =\"37884928\"]\n  4 [size=\"58081280\", alpha=\"0.03\", expect_size=\"23232512\"] \n  4 -> 5 [size =\"23232512\"]\n  5 [size=\"93880320\", alpha=\"0.06\", expect_size=\"37552128\"] \n  5 -> 6 [size =\"37552128\"]\n  6 [size=\"113978880\", alpha=\"0.18\", expect_size=\"45591552\"] \n  6 -> 7 [size =\"45591552\"]\n  7 [size=\"70899200\", alpha=\"0.13\", expect_size=\"28359680\"] \n  7 -> 8 [size =\"28359680\"]\n  8 [size=\"114460160\", alpha=\"0.08\", expect_size=\"45784064\"] \n  8 -> 9 [size =\"45784064\"]\n  9 [size=\"49021440\", alpha=\"0.05\", expect_size=\"19608576\"] \n  9 -> 10 [size =\"19608576\"]\n  10 [size=\"40683520\", alpha=\"0.09\", expect_size=\"16273408\"] \n  10 -> 11 [size =\"16273408\"]\n  11 [size=\"43148800\", alpha=\"0.02\", expect_size=\"17259520\"] \n  11 -> 12 [size =\"17259520\"]\n  12 [size=\"18539520\", alpha=\"0.16\", expect_size=\"7415808\"] \n  12 -> 13 [size =\"7415808\"]\n  13 [size=\"78691840\", alpha=\"0.13\", expect_size=\"31476736\"] \n  13 -> 14 [size =\"31476736\"]\n  14 [size=\"94464000\", alpha=\"0.03\", expect_size=\"37785600\"] \n  14 -> 15 [size =\"37785600\"]\n  15 [size=\"113953280\", alpha=\"0.06\", expect_size=\"45581312\"] \n  15 -> 16 [size =\"45581312\"]\n  16 [size=\"31004160\", alpha=\"0.13\", expect_size=\"12401664\"] \n  16 -> 17 [size =\"12401664\"]\n  17 [size=\"18874880\", alpha=\"0.18\", expect_size=\"7549952\"] \n  17 -> 18 [size =\"7549952\"]\n  18 [size=\"94538240\", alpha=\"0.13\", expect_size=\"37815296\"] \n  18 -> 19 [size =\"37815296\"]\n  19 [size=\"24568320\", alpha=\"0.16\", expect_size=\"9827328\"] \n  19 -> 20 [size =\"9827328\"]\n  20 [size=\"55196160\", alpha=\"0.19\", expect_size=\"22078464\"] \n  20 -> 21 [size =\"22078464\"]\n  21 [size=\"105359360\", alpha=\"0.11\", expect_size=\"42143744\"] \n  21 -> 22 [size =\"42143744\"]\n  22 [size=\"117624320\", alpha=\"0.10\", expect_size=\"47049728\"] \n  22 -> 23 [size =\"47049728\"]\n  23 [size=\"94138880\", alpha=\"0.03\", expect_size=\"37655552\"] \n  23 -> 24 [size =\"37655552\"]\n  24 [size=\"50406400\", alpha=\"0.03\", expect_size=\"20162560\"] \n  24 -> 25 [size =\"20162560\"]\n  25 [size=\"66206720\", alpha=\"0.17\", expect_size=\"26482688\"] \n  25 -> 26 [size =\"26482688\"]\n  26 [size=\"103851520\", alpha=\"0.08\", expect_size=\"41540608\"] \n  26 -> 27 [size =\"41540608\"]\n  27 [size=\"61475840\", alpha=\"0.09\", expect_size=\"24590336\"] \n  27 -> 28 [size =\"24590336\"]\n  28 [size=\"49369600\", alpha=\"0.07\", expect_size=\"19747840\"] \n  28 -> 29 [size =\"19747840\"]\n  29 [size=\"128243200\", alpha=\"0.11\", expect_size=\"51297280\"] \n  29 -> 30 [size =\"51297280\"]\n  30 [size=\"104010240\", alpha=\"0.20\", expect_size=\"41604096\"] \n  30 -> 31 [size =\"41604096\"]\n  31 [size=\"97681920\", alpha=\"0.14\", expect_size=\"39072768\"] \n  31 -> 32 [size =\"39072768\"]\n  32 [size=\"45637120\", alpha=\"0.09\", expect_size=\"18254848\"] \n  32 -> 33 [size =\"18254848\"]\n  33 [size=\"104560640\", alpha=\"0.15\", expect_size=\"41824256\"] \n  33 -> 34 [size =\"41824256\"]\n  34 [size=\"120125440\", alpha=\"0.14\", expect_size=\"48050176\"] \n  34 -> 35 [size =\"48050176\"]\n  35 [size=\"19345920\", alpha=\"0.11\", expect_size=\"7738368\"] \n  35 -> 36 [size =\"7738368\"]\n  36 [size=\"118922240\", alpha=\"0.11\", expect_size=\"47568896\"] \n  36 -> 37 [size =\"47568896\"]\n  37 [size=\"47872000\", alpha=\"0.12\", expect_size=\"19148800\"] \n  37 -> 38 [size =\"19148800\"]\n  38 [size=\"99916800\", alpha=\"0.07\", expect_size=\"39966720\"] \n  38 -> 39 [size =\"39966720\"]\n  39 [size=\"22515200\", alpha=\"0.03\", expect_size=\"9006080\"] \n  39 -> 40 [size =\"9006080\"]\n  40 [size=\"87513600\", alpha=\"0.07\", expect_size=\"35005440\"] \n  40 -> 41 [size =\"35005440\"]\n  41 [size=\"86558720\", alpha=\"0.06\", expect_size=\"34623488\"] \n  41 -> 42 [size =\"34623488\"]\n  42 [size=\"49692160\", alpha=\"0.03\", expect_size=\"19876864\"] \n  42 -> 43 [size =\"19876864\"]\n  43 [size=\"100316160\", alpha=\"0.14\", expect_size=\"40126464\"] \n  43 -> 44 [size =\"40126464\"]\n  44 [size=\"68085760\", alpha=\"0.11\", expect_size=\"27234304\"] \n  44 -> 45 [size =\"27234304\"]\n  45 [size=\"34355200\", alpha=\"0.18\", expect_size=\"13742080\"] \n  45 -> 46 [size =\"13742080\"]\n  46 [size=\"99973120\", alpha=\"0.19\", expect_size=\"39989248\"] \n  46 -> 47 [size =\"39989248\"]\n  47 [size=\"46912000\", alpha=\"0.09\", expect_size=\"18764800\"] \n  47 -> 48 [size =\"18764800\"]\n  48 [size=\"116869120\", alpha=\"0.05\", expect_size=\"46747648\"] \n  48 -> 49 [size =\"46747648\"]\n  49 [size=\"37381120\", alpha=\"0.00\", expect_size=\"14952448\"] \n  49 -> 50 [size =\"14952448\"]\n  50 [size=\"55841280\", alpha=\"0.11\", expect_size=\"22336512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.240.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17211392\", alpha=\"0.06\", expect_size=\"8605696\"] \n  1 -> 3 [size =\"8605696\"]\n  1 -> 4 [size =\"8605696\"]\n  1 -> 5 [size =\"8605696\"]\n  2 [size=\"89491456\", alpha=\"0.17\", expect_size=\"44745728\"] \n  2 -> 3 [size =\"44745728\"]\n  3 [size=\"67217408\", alpha=\"0.01\", expect_size=\"33608704\"] \n  3 -> 6 [size =\"33608704\"]\n  4 [size=\"59752448\", alpha=\"0.09\", expect_size=\"29876224\"] \n  5 [size=\"22286336\", alpha=\"0.07\", expect_size=\"11143168\"] \n  5 -> 6 [size =\"11143168\"]\n  6 [size=\"40210432\", alpha=\"0.15\", expect_size=\"20105216\"] \n  6 -> 7 [size =\"20105216\"]\n  6 -> 8 [size =\"20105216\"]\n  6 -> 9 [size =\"20105216\"]\n  6 -> 10 [size =\"20105216\"]\n  7 [size=\"80398336\", alpha=\"0.18\", expect_size=\"40199168\"] \n  7 -> 11 [size =\"40199168\"]\n  8 [size=\"99710976\", alpha=\"0.09\", expect_size=\"49855488\"] \n  9 [size=\"91414528\", alpha=\"0.16\", expect_size=\"45707264\"] \n  10 [size=\"77770752\", alpha=\"0.13\", expect_size=\"38885376\"] \n  10 -> 11 [size =\"38885376\"]\n  10 -> 12 [size =\"38885376\"]\n  11 [size=\"31412224\", alpha=\"0.03\", expect_size=\"15706112\"] \n  11 -> 14 [size =\"15706112\"]\n  12 [size=\"61235200\", alpha=\"0.00\", expect_size=\"30617600\"] \n  12 -> 13 [size =\"30617600\"]\n  13 [size=\"49225728\", alpha=\"0.19\", expect_size=\"24612864\"] \n  13 -> 15 [size =\"24612864\"]\n  14 [size=\"56068096\", alpha=\"0.03\", expect_size=\"28034048\"] \n  14 -> 15 [size =\"28034048\"]\n  14 -> 16 [size =\"28034048\"]\n  15 [size=\"97384448\", alpha=\"0.08\", expect_size=\"48692224\"] \n  15 -> 17 [size =\"48692224\"]\n  15 -> 18 [size =\"48692224\"]\n  16 [size=\"37865472\", alpha=\"0.18\", expect_size=\"18932736\"] \n  17 [size=\"12924928\", alpha=\"0.05\", expect_size=\"6462464\"] \n  17 -> 19 [size =\"6462464\"]\n  17 -> 20 [size =\"6462464\"]\n  17 -> 22 [size =\"6462464\"]\n  18 [size=\"96407552\", alpha=\"0.14\", expect_size=\"48203776\"] \n  18 -> 20 [size =\"48203776\"]\n  18 -> 21 [size =\"48203776\"]\n  19 [size=\"42665984\", alpha=\"0.01\", expect_size=\"21332992\"] \n  19 -> 23 [size =\"21332992\"]\n  20 [size=\"25425920\", alpha=\"0.10\", expect_size=\"12712960\"] \n  21 [size=\"89083904\", alpha=\"0.19\", expect_size=\"44541952\"] \n  22 [size=\"101431296\", alpha=\"0.06\", expect_size=\"50715648\"] \n  23 [size=\"102582272\", alpha=\"0.05\", expect_size=\"51291136\"] \n  23 -> 24 [size =\"51291136\"]\n  23 -> 25 [size =\"51291136\"]\n  24 [size=\"97658880\", alpha=\"0.14\", expect_size=\"48829440\"] \n  24 -> 26 [size =\"48829440\"]\n  25 [size=\"17438720\", alpha=\"0.05\", expect_size=\"8719360\"] \n  25 -> 26 [size =\"8719360\"]\n  26 [size=\"55615488\", alpha=\"0.03\", expect_size=\"27807744\"] \n  26 -> 27 [size =\"27807744\"]\n  26 -> 28 [size =\"27807744\"]\n  26 -> 29 [size =\"27807744\"]\n  27 [size=\"46645248\", alpha=\"0.15\", expect_size=\"23322624\"] \n  27 -> 31 [size =\"23322624\"]\n  27 -> 32 [size =\"23322624\"]\n  28 [size=\"69539840\", alpha=\"0.07\", expect_size=\"34769920\"] \n  28 -> 30 [size =\"34769920\"]\n  28 -> 33 [size =\"34769920\"]\n  29 [size=\"40286208\", alpha=\"0.16\", expect_size=\"20143104\"] \n  29 -> 30 [size =\"20143104\"]\n  29 -> 31 [size =\"20143104\"]\n  30 [size=\"46721024\", alpha=\"0.19\", expect_size=\"23360512\"] \n  30 -> 36 [size =\"23360512\"]\n  30 -> 37 [size =\"23360512\"]\n  31 [size=\"92579840\", alpha=\"0.06\", expect_size=\"46289920\"] \n  31 -> 34 [size =\"46289920\"]\n  31 -> 35 [size =\"46289920\"]\n  32 [size=\"90216448\", alpha=\"0.04\", expect_size=\"45108224\"] \n  32 -> 36 [size =\"45108224\"]\n  33 [size=\"24266752\", alpha=\"0.10\", expect_size=\"12133376\"] \n  33 -> 34 [size =\"12133376\"]\n  34 [size=\"45834240\", alpha=\"0.06\", expect_size=\"22917120\"] \n  34 -> 38 [size =\"22917120\"]\n  34 -> 39 [size =\"22917120\"]\n  35 [size=\"15443968\", alpha=\"0.01\", expect_size=\"7721984\"] \n  36 [size=\"39268352\", alpha=\"0.01\", expect_size=\"19634176\"] \n  37 [size=\"52664320\", alpha=\"0.02\", expect_size=\"26332160\"] \n  38 [size=\"31172608\", alpha=\"0.01\", expect_size=\"15586304\"] \n  38 -> 40 [size =\"15586304\"]\n  38 -> 41 [size =\"15586304\"]\n  38 -> 42 [size =\"15586304\"]\n  38 -> 43 [size =\"15586304\"]\n  39 [size=\"64018432\", alpha=\"0.06\", expect_size=\"32009216\"] \n  39 -> 42 [size =\"32009216\"]\n  40 [size=\"43390976\", alpha=\"0.15\", expect_size=\"21695488\"] \n  41 [size=\"36571136\", alpha=\"0.01\", expect_size=\"18285568\"] \n  41 -> 44 [size =\"18285568\"]\n  42 [size=\"64489472\", alpha=\"0.06\", expect_size=\"32244736\"] \n  42 -> 44 [size =\"32244736\"]\n  43 [size=\"83525632\", alpha=\"0.10\", expect_size=\"41762816\"] \n  44 [size=\"38049792\", alpha=\"0.13\", expect_size=\"19024896\"] \n  44 -> 45 [size =\"19024896\"]\n  44 -> 46 [size =\"19024896\"]\n  44 -> 47 [size =\"19024896\"]\n  44 -> 48 [size =\"19024896\"]\n  45 [size=\"68014080\", alpha=\"0.17\", expect_size=\"34007040\"] \n  45 -> 49 [size =\"34007040\"]\n  45 -> 50 [size =\"34007040\"]\n  46 [size=\"71579648\", alpha=\"0.11\", expect_size=\"35789824\"] \n  47 [size=\"76124160\", alpha=\"0.13\", expect_size=\"38062080\"] \n  48 [size=\"84088832\", alpha=\"0.07\", expect_size=\"42044416\"] \n  48 -> 49 [size =\"42044416\"]\n  49 [size=\"87023616\", alpha=\"0.07\", expect_size=\"43511808\"] \n  50 [size=\"22738944\", alpha=\"0.15\", expect_size=\"11369472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.241.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56903680\", alpha=\"0.06\", expect_size=\"28451840\"] \n  1 -> 2 [size =\"28451840\"]\n  2 [size=\"78401536\", alpha=\"0.13\", expect_size=\"39200768\"] \n  2 -> 3 [size =\"39200768\"]\n  3 [size=\"63129600\", alpha=\"0.10\", expect_size=\"31564800\"] \n  3 -> 4 [size =\"31564800\"]\n  4 [size=\"40966144\", alpha=\"0.09\", expect_size=\"20483072\"] \n  4 -> 5 [size =\"20483072\"]\n  5 [size=\"73820160\", alpha=\"0.01\", expect_size=\"36910080\"] \n  5 -> 6 [size =\"36910080\"]\n  6 [size=\"19177472\", alpha=\"0.07\", expect_size=\"9588736\"] \n  6 -> 7 [size =\"9588736\"]\n  7 [size=\"67395584\", alpha=\"0.12\", expect_size=\"33697792\"] \n  7 -> 8 [size =\"33697792\"]\n  8 [size=\"98641920\", alpha=\"0.06\", expect_size=\"49320960\"] \n  8 -> 9 [size =\"49320960\"]\n  9 [size=\"68653056\", alpha=\"0.08\", expect_size=\"34326528\"] \n  9 -> 10 [size =\"34326528\"]\n  10 [size=\"20682752\", alpha=\"0.02\", expect_size=\"10341376\"] \n  10 -> 11 [size =\"10341376\"]\n  11 [size=\"43331584\", alpha=\"0.11\", expect_size=\"21665792\"] \n  11 -> 12 [size =\"21665792\"]\n  12 [size=\"72667136\", alpha=\"0.01\", expect_size=\"36333568\"] \n  12 -> 13 [size =\"36333568\"]\n  13 [size=\"40529920\", alpha=\"0.12\", expect_size=\"20264960\"] \n  13 -> 14 [size =\"20264960\"]\n  14 [size=\"87386112\", alpha=\"0.17\", expect_size=\"43693056\"] \n  14 -> 15 [size =\"43693056\"]\n  15 [size=\"34922496\", alpha=\"0.13\", expect_size=\"17461248\"] \n  15 -> 16 [size =\"17461248\"]\n  16 [size=\"39931904\", alpha=\"0.13\", expect_size=\"19965952\"] \n  16 -> 17 [size =\"19965952\"]\n  17 [size=\"73340928\", alpha=\"0.16\", expect_size=\"36670464\"] \n  17 -> 18 [size =\"36670464\"]\n  18 [size=\"36421632\", alpha=\"0.18\", expect_size=\"18210816\"] \n  18 -> 19 [size =\"18210816\"]\n  19 [size=\"65099776\", alpha=\"0.18\", expect_size=\"32549888\"] \n  19 -> 20 [size =\"32549888\"]\n  20 [size=\"104841216\", alpha=\"0.11\", expect_size=\"52420608\"] \n  20 -> 21 [size =\"52420608\"]\n  21 [size=\"21450752\", alpha=\"0.14\", expect_size=\"10725376\"] \n  21 -> 22 [size =\"10725376\"]\n  22 [size=\"72345600\", alpha=\"0.12\", expect_size=\"36172800\"] \n  22 -> 23 [size =\"36172800\"]\n  23 [size=\"77592576\", alpha=\"0.00\", expect_size=\"38796288\"] \n  23 -> 24 [size =\"38796288\"]\n  24 [size=\"40691712\", alpha=\"0.15\", expect_size=\"20345856\"] \n  24 -> 25 [size =\"20345856\"]\n  25 [size=\"24762368\", alpha=\"0.04\", expect_size=\"12381184\"] \n  25 -> 26 [size =\"12381184\"]\n  26 [size=\"86528000\", alpha=\"0.14\", expect_size=\"43264000\"] \n  26 -> 27 [size =\"43264000\"]\n  27 [size=\"52582400\", alpha=\"0.17\", expect_size=\"26291200\"] \n  27 -> 28 [size =\"26291200\"]\n  28 [size=\"34488320\", alpha=\"0.18\", expect_size=\"17244160\"] \n  28 -> 29 [size =\"17244160\"]\n  29 [size=\"23748608\", alpha=\"0.11\", expect_size=\"11874304\"] \n  29 -> 30 [size =\"11874304\"]\n  30 [size=\"13764608\", alpha=\"0.07\", expect_size=\"6882304\"] \n  30 -> 31 [size =\"6882304\"]\n  31 [size=\"66246656\", alpha=\"0.09\", expect_size=\"33123328\"] \n  31 -> 32 [size =\"33123328\"]\n  32 [size=\"38862848\", alpha=\"0.05\", expect_size=\"19431424\"] \n  32 -> 33 [size =\"19431424\"]\n  33 [size=\"93908992\", alpha=\"0.07\", expect_size=\"46954496\"] \n  33 -> 34 [size =\"46954496\"]\n  34 [size=\"95281152\", alpha=\"0.05\", expect_size=\"47640576\"] \n  34 -> 35 [size =\"47640576\"]\n  35 [size=\"73463808\", alpha=\"0.09\", expect_size=\"36731904\"] \n  35 -> 36 [size =\"36731904\"]\n  36 [size=\"91791360\", alpha=\"0.19\", expect_size=\"45895680\"] \n  36 -> 37 [size =\"45895680\"]\n  37 [size=\"64587776\", alpha=\"0.02\", expect_size=\"32293888\"] \n  37 -> 38 [size =\"32293888\"]\n  38 [size=\"48762880\", alpha=\"0.11\", expect_size=\"24381440\"] \n  38 -> 39 [size =\"24381440\"]\n  39 [size=\"38103040\", alpha=\"0.11\", expect_size=\"19051520\"] \n  39 -> 40 [size =\"19051520\"]\n  40 [size=\"90773504\", alpha=\"0.11\", expect_size=\"45386752\"] \n  40 -> 41 [size =\"45386752\"]\n  41 [size=\"28233728\", alpha=\"0.14\", expect_size=\"14116864\"] \n  41 -> 42 [size =\"14116864\"]\n  42 [size=\"72071168\", alpha=\"0.09\", expect_size=\"36035584\"] \n  42 -> 43 [size =\"36035584\"]\n  43 [size=\"95723520\", alpha=\"0.19\", expect_size=\"47861760\"] \n  43 -> 44 [size =\"47861760\"]\n  44 [size=\"34865152\", alpha=\"0.15\", expect_size=\"17432576\"] \n  44 -> 45 [size =\"17432576\"]\n  45 [size=\"60770304\", alpha=\"0.15\", expect_size=\"30385152\"] \n  45 -> 46 [size =\"30385152\"]\n  46 [size=\"103499776\", alpha=\"0.10\", expect_size=\"51749888\"] \n  46 -> 47 [size =\"51749888\"]\n  47 [size=\"98131968\", alpha=\"0.14\", expect_size=\"49065984\"] \n  47 -> 48 [size =\"49065984\"]\n  48 [size=\"13148160\", alpha=\"0.04\", expect_size=\"6574080\"] \n  48 -> 49 [size =\"6574080\"]\n  49 [size=\"63227904\", alpha=\"0.16\", expect_size=\"31613952\"] \n  49 -> 50 [size =\"31613952\"]\n  50 [size=\"19873792\", alpha=\"0.09\", expect_size=\"9936896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.242.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44119040\", alpha=\"0.18\", expect_size=\"17647616\"] \n  1 -> 45 [size =\"17647616\"]\n  1 -> 46 [size =\"17647616\"]\n  1 -> 50 [size =\"17647616\"]\n  2 [size=\"87270400\", alpha=\"0.12\", expect_size=\"34908160\"] \n  2 -> 41 [size =\"34908160\"]\n  2 -> 50 [size =\"34908160\"]\n  2 -> 50 [size =\"34908160\"]\n  3 [size=\"79004160\", alpha=\"0.05\", expect_size=\"31601664\"] \n  3 -> 41 [size =\"31601664\"]\n  3 -> 42 [size =\"31601664\"]\n  3 -> 45 [size =\"31601664\"]\n  3 -> 46 [size =\"31601664\"]\n  3 -> 49 [size =\"31601664\"]\n  3 -> 50 [size =\"31601664\"]\n  4 [size=\"102333440\", alpha=\"0.02\", expect_size=\"40933376\"] \n  4 -> 41 [size =\"40933376\"]\n  4 -> 45 [size =\"40933376\"]\n  5 [size=\"59793920\", alpha=\"0.12\", expect_size=\"23917568\"] \n  5 -> 42 [size =\"23917568\"]\n  5 -> 45 [size =\"23917568\"]\n  6 [size=\"24279040\", alpha=\"0.03\", expect_size=\"9711616\"] \n  6 -> 39 [size =\"9711616\"]\n  6 -> 42 [size =\"9711616\"]\n  6 -> 44 [size =\"9711616\"]\n  6 -> 46 [size =\"9711616\"]\n  7 [size=\"55349760\", alpha=\"0.02\", expect_size=\"22139904\"] \n  7 -> 42 [size =\"22139904\"]\n  7 -> 46 [size =\"22139904\"]\n  7 -> 48 [size =\"22139904\"]\n  7 -> 49 [size =\"22139904\"]\n  8 [size=\"50644480\", alpha=\"0.16\", expect_size=\"20257792\"] \n  8 -> 39 [size =\"20257792\"]\n  8 -> 41 [size =\"20257792\"]\n  8 -> 42 [size =\"20257792\"]\n  8 -> 46 [size =\"20257792\"]\n  8 -> 47 [size =\"20257792\"]\n  9 [size=\"64509440\", alpha=\"0.19\", expect_size=\"25803776\"] \n  9 -> 39 [size =\"25803776\"]\n  9 -> 41 [size =\"25803776\"]\n  9 -> 45 [size =\"25803776\"]\n  9 -> 46 [size =\"25803776\"]\n  9 -> 50 [size =\"25803776\"]\n  10 [size=\"45155840\", alpha=\"0.15\", expect_size=\"18062336\"] \n  10 -> 39 [size =\"18062336\"]\n  10 -> 42 [size =\"18062336\"]\n  10 -> 48 [size =\"18062336\"]\n  10 -> 50 [size =\"18062336\"]\n  11 [size=\"75100160\", alpha=\"0.09\", expect_size=\"30040064\"] \n  11 -> 42 [size =\"30040064\"]\n  11 -> 49 [size =\"30040064\"]\n  11 -> 50 [size =\"30040064\"]\n  12 [size=\"66170880\", alpha=\"0.15\", expect_size=\"26468352\"] \n  12 -> 41 [size =\"26468352\"]\n  12 -> 42 [size =\"26468352\"]\n  12 -> 50 [size =\"26468352\"]\n  13 [size=\"19453440\", alpha=\"0.05\", expect_size=\"7781376\"] \n  13 -> 42 [size =\"7781376\"]\n  13 -> 42 [size =\"7781376\"]\n  13 -> 43 [size =\"7781376\"]\n  14 [size=\"47795200\", alpha=\"0.08\", expect_size=\"19118080\"] \n  14 -> 39 [size =\"19118080\"]\n  14 -> 42 [size =\"19118080\"]\n  14 -> 45 [size =\"19118080\"]\n  15 [size=\"61557760\", alpha=\"0.03\", expect_size=\"24623104\"] \n  15 -> 44 [size =\"24623104\"]\n  15 -> 45 [size =\"24623104\"]\n  15 -> 50 [size =\"24623104\"]\n  16 [size=\"129873920\", alpha=\"0.05\", expect_size=\"51949568\"] \n  16 -> 44 [size =\"51949568\"]\n  16 -> 48 [size =\"51949568\"]\n  16 -> 50 [size =\"51949568\"]\n  17 [size=\"29985280\", alpha=\"0.09\", expect_size=\"11994112\"] \n  17 -> 41 [size =\"11994112\"]\n  17 -> 42 [size =\"11994112\"]\n  18 [size=\"44638720\", alpha=\"0.05\", expect_size=\"17855488\"] \n  18 -> 41 [size =\"17855488\"]\n  18 -> 42 [size =\"17855488\"]\n  18 -> 49 [size =\"17855488\"]\n  19 [size=\"19494400\", alpha=\"0.09\", expect_size=\"7797760\"] \n  19 -> 39 [size =\"7797760\"]\n  19 -> 42 [size =\"7797760\"]\n  19 -> 49 [size =\"7797760\"]\n  19 -> 50 [size =\"7797760\"]\n  20 [size=\"130314240\", alpha=\"0.02\", expect_size=\"52125696\"] \n  20 -> 42 [size =\"52125696\"]\n  20 -> 46 [size =\"52125696\"]\n  21 [size=\"99432960\", alpha=\"0.01\", expect_size=\"39773184\"] \n  21 -> 42 [size =\"39773184\"]\n  21 -> 46 [size =\"39773184\"]\n  21 -> 49 [size =\"39773184\"]\n  22 [size=\"34572800\", alpha=\"0.12\", expect_size=\"13829120\"] \n  22 -> 39 [size =\"13829120\"]\n  22 -> 44 [size =\"13829120\"]\n  22 -> 45 [size =\"13829120\"]\n  22 -> 46 [size =\"13829120\"]\n  22 -> 48 [size =\"13829120\"]\n  23 [size=\"124326400\", alpha=\"0.15\", expect_size=\"49730560\"] \n  23 -> 39 [size =\"49730560\"]\n  23 -> 44 [size =\"49730560\"]\n  23 -> 45 [size =\"49730560\"]\n  23 -> 46 [size =\"49730560\"]\n  23 -> 47 [size =\"49730560\"]\n  23 -> 48 [size =\"49730560\"]\n  24 [size=\"35704320\", alpha=\"0.12\", expect_size=\"14281728\"] \n  24 -> 41 [size =\"14281728\"]\n  24 -> 44 [size =\"14281728\"]\n  24 -> 46 [size =\"14281728\"]\n  24 -> 47 [size =\"14281728\"]\n  25 [size=\"82936320\", alpha=\"0.18\", expect_size=\"33174528\"] \n  25 -> 42 [size =\"33174528\"]\n  25 -> 46 [size =\"33174528\"]\n  26 [size=\"97848320\", alpha=\"0.05\", expect_size=\"39139328\"] \n  26 -> 41 [size =\"39139328\"]\n  26 -> 43 [size =\"39139328\"]\n  27 [size=\"128235520\", alpha=\"0.19\", expect_size=\"51294208\"] \n  27 -> 42 [size =\"51294208\"]\n  27 -> 43 [size =\"51294208\"]\n  27 -> 46 [size =\"51294208\"]\n  28 [size=\"61255680\", alpha=\"0.00\", expect_size=\"24502272\"] \n  28 -> 39 [size =\"24502272\"]\n  28 -> 41 [size =\"24502272\"]\n  28 -> 45 [size =\"24502272\"]\n  28 -> 50 [size =\"24502272\"]\n  29 [size=\"88816640\", alpha=\"0.10\", expect_size=\"35526656\"] \n  29 -> 39 [size =\"35526656\"]\n  29 -> 47 [size =\"35526656\"]\n  29 -> 50 [size =\"35526656\"]\n  30 [size=\"24309760\", alpha=\"0.05\", expect_size=\"9723904\"] \n  30 -> 40 [size =\"9723904\"]\n  30 -> 41 [size =\"9723904\"]\n  30 -> 42 [size =\"9723904\"]\n  31 [size=\"38627840\", alpha=\"0.10\", expect_size=\"15451136\"] \n  31 -> 41 [size =\"15451136\"]\n  31 -> 50 [size =\"15451136\"]\n  32 [size=\"44815360\", alpha=\"0.05\", expect_size=\"17926144\"] \n  32 -> 45 [size =\"17926144\"]\n  32 -> 50 [size =\"17926144\"]\n  33 [size=\"117035520\", alpha=\"0.00\", expect_size=\"46814208\"] \n  33 -> 41 [size =\"46814208\"]\n  33 -> 42 [size =\"46814208\"]\n  33 -> 45 [size =\"46814208\"]\n  33 -> 46 [size =\"46814208\"]\n  33 -> 49 [size =\"46814208\"]\n  33 -> 50 [size =\"46814208\"]\n  34 [size=\"85260800\", alpha=\"0.02\", expect_size=\"34104320\"] \n  34 -> 39 [size =\"34104320\"]\n  34 -> 41 [size =\"34104320\"]\n  34 -> 42 [size =\"34104320\"]\n  34 -> 46 [size =\"34104320\"]\n  34 -> 50 [size =\"34104320\"]\n  35 [size=\"38717440\", alpha=\"0.11\", expect_size=\"15486976\"] \n  35 -> 42 [size =\"15486976\"]\n  35 -> 46 [size =\"15486976\"]\n  35 -> 50 [size =\"15486976\"]\n  36 [size=\"24092160\", alpha=\"0.01\", expect_size=\"9636864\"] \n  36 -> 44 [size =\"9636864\"]\n  36 -> 46 [size =\"9636864\"]\n  36 -> 49 [size =\"9636864\"]\n  36 -> 50 [size =\"9636864\"]\n  37 [size=\"52556800\", alpha=\"0.13\", expect_size=\"21022720\"] \n  37 -> 44 [size =\"21022720\"]\n  37 -> 46 [size =\"21022720\"]\n  37 -> 47 [size =\"21022720\"]\n  37 -> 50 [size =\"21022720\"]\n  38 [size=\"48394240\", alpha=\"0.11\", expect_size=\"19357696\"] \n  38 -> 44 [size =\"19357696\"]\n  38 -> 46 [size =\"19357696\"]\n  38 -> 50 [size =\"19357696\"]\n  38 -> 50 [size =\"19357696\"]\n  39 [size=\"49144320\", alpha=\"0.10\", expect_size=\"19657728\"] \n  40 [size=\"106209280\", alpha=\"0.08\", expect_size=\"42483712\"] \n  41 [size=\"15708160\", alpha=\"0.01\", expect_size=\"6283264\"] \n  42 [size=\"75568640\", alpha=\"0.18\", expect_size=\"30227456\"] \n  43 [size=\"102919680\", alpha=\"0.14\", expect_size=\"41167872\"] \n  44 [size=\"104115200\", alpha=\"0.14\", expect_size=\"41646080\"] \n  45 [size=\"113840640\", alpha=\"0.05\", expect_size=\"45536256\"] \n  46 [size=\"62581760\", alpha=\"0.11\", expect_size=\"25032704\"] \n  47 [size=\"67107840\", alpha=\"0.16\", expect_size=\"26843136\"] \n  48 [size=\"26332160\", alpha=\"0.10\", expect_size=\"10532864\"] \n  49 [size=\"89753600\", alpha=\"0.16\", expect_size=\"35901440\"] \n  50 [size=\"27829760\", alpha=\"0.04\", expect_size=\"11131904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.243.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90941440\", alpha=\"0.11\", expect_size=\"45470720\"] \n  1 -> 24 [size =\"45470720\"]\n  1 -> 27 [size =\"45470720\"]\n  1 -> 35 [size =\"45470720\"]\n  1 -> 39 [size =\"45470720\"]\n  1 -> 43 [size =\"45470720\"]\n  1 -> 47 [size =\"45470720\"]\n  2 [size=\"60786688\", alpha=\"0.13\", expect_size=\"30393344\"] \n  2 -> 24 [size =\"30393344\"]\n  2 -> 25 [size =\"30393344\"]\n  2 -> 26 [size =\"30393344\"]\n  2 -> 28 [size =\"30393344\"]\n  2 -> 34 [size =\"30393344\"]\n  2 -> 41 [size =\"30393344\"]\n  2 -> 47 [size =\"30393344\"]\n  3 [size=\"25346048\", alpha=\"0.12\", expect_size=\"12673024\"] \n  3 -> 24 [size =\"12673024\"]\n  3 -> 32 [size =\"12673024\"]\n  3 -> 34 [size =\"12673024\"]\n  3 -> 37 [size =\"12673024\"]\n  3 -> 39 [size =\"12673024\"]\n  3 -> 40 [size =\"12673024\"]\n  3 -> 42 [size =\"12673024\"]\n  3 -> 44 [size =\"12673024\"]\n  3 -> 45 [size =\"12673024\"]\n  4 [size=\"53368832\", alpha=\"0.08\", expect_size=\"26684416\"] \n  4 -> 28 [size =\"26684416\"]\n  4 -> 30 [size =\"26684416\"]\n  4 -> 42 [size =\"26684416\"]\n  4 -> 43 [size =\"26684416\"]\n  5 [size=\"71385088\", alpha=\"0.02\", expect_size=\"35692544\"] \n  5 -> 29 [size =\"35692544\"]\n  5 -> 33 [size =\"35692544\"]\n  5 -> 37 [size =\"35692544\"]\n  5 -> 40 [size =\"35692544\"]\n  5 -> 42 [size =\"35692544\"]\n  5 -> 43 [size =\"35692544\"]\n  5 -> 45 [size =\"35692544\"]\n  6 [size=\"12142592\", alpha=\"0.00\", expect_size=\"6071296\"] \n  6 -> 24 [size =\"6071296\"]\n  6 -> 25 [size =\"6071296\"]\n  6 -> 28 [size =\"6071296\"]\n  6 -> 29 [size =\"6071296\"]\n  6 -> 37 [size =\"6071296\"]\n  6 -> 39 [size =\"6071296\"]\n  6 -> 41 [size =\"6071296\"]\n  6 -> 42 [size =\"6071296\"]\n  6 -> 43 [size =\"6071296\"]\n  6 -> 45 [size =\"6071296\"]\n  7 [size=\"84373504\", alpha=\"0.11\", expect_size=\"42186752\"] \n  7 -> 24 [size =\"42186752\"]\n  7 -> 25 [size =\"42186752\"]\n  7 -> 29 [size =\"42186752\"]\n  7 -> 30 [size =\"42186752\"]\n  7 -> 31 [size =\"42186752\"]\n  7 -> 32 [size =\"42186752\"]\n  7 -> 37 [size =\"42186752\"]\n  7 -> 39 [size =\"42186752\"]\n  7 -> 43 [size =\"42186752\"]\n  7 -> 44 [size =\"42186752\"]\n  7 -> 46 [size =\"42186752\"]\n  7 -> 47 [size =\"42186752\"]\n  8 [size=\"35057664\", alpha=\"0.17\", expect_size=\"17528832\"] \n  8 -> 25 [size =\"17528832\"]\n  8 -> 26 [size =\"17528832\"]\n  8 -> 27 [size =\"17528832\"]\n  8 -> 28 [size =\"17528832\"]\n  8 -> 30 [size =\"17528832\"]\n  8 -> 37 [size =\"17528832\"]\n  8 -> 40 [size =\"17528832\"]\n  8 -> 43 [size =\"17528832\"]\n  8 -> 43 [size =\"17528832\"]\n  8 -> 46 [size =\"17528832\"]\n  9 [size=\"68067328\", alpha=\"0.08\", expect_size=\"34033664\"] \n  9 -> 25 [size =\"34033664\"]\n  9 -> 26 [size =\"34033664\"]\n  9 -> 28 [size =\"34033664\"]\n  9 -> 30 [size =\"34033664\"]\n  9 -> 35 [size =\"34033664\"]\n  9 -> 37 [size =\"34033664\"]\n  9 -> 42 [size =\"34033664\"]\n  9 -> 43 [size =\"34033664\"]\n  9 -> 45 [size =\"34033664\"]\n  9 -> 46 [size =\"34033664\"]\n  10 [size=\"48205824\", alpha=\"0.10\", expect_size=\"24102912\"] \n  10 -> 24 [size =\"24102912\"]\n  10 -> 25 [size =\"24102912\"]\n  10 -> 26 [size =\"24102912\"]\n  10 -> 28 [size =\"24102912\"]\n  10 -> 37 [size =\"24102912\"]\n  10 -> 39 [size =\"24102912\"]\n  10 -> 43 [size =\"24102912\"]\n  10 -> 47 [size =\"24102912\"]\n  11 [size=\"82937856\", alpha=\"0.16\", expect_size=\"41468928\"] \n  11 -> 25 [size =\"41468928\"]\n  11 -> 31 [size =\"41468928\"]\n  11 -> 36 [size =\"41468928\"]\n  11 -> 37 [size =\"41468928\"]\n  11 -> 43 [size =\"41468928\"]\n  11 -> 44 [size =\"41468928\"]\n  11 -> 45 [size =\"41468928\"]\n  12 [size=\"42379264\", alpha=\"0.09\", expect_size=\"21189632\"] \n  12 -> 28 [size =\"21189632\"]\n  12 -> 32 [size =\"21189632\"]\n  12 -> 35 [size =\"21189632\"]\n  12 -> 37 [size =\"21189632\"]\n  12 -> 39 [size =\"21189632\"]\n  12 -> 40 [size =\"21189632\"]\n  12 -> 43 [size =\"21189632\"]\n  12 -> 47 [size =\"21189632\"]\n  13 [size=\"11202560\", alpha=\"0.15\", expect_size=\"5601280\"] \n  13 -> 24 [size =\"5601280\"]\n  13 -> 28 [size =\"5601280\"]\n  13 -> 36 [size =\"5601280\"]\n  13 -> 37 [size =\"5601280\"]\n  13 -> 42 [size =\"5601280\"]\n  14 [size=\"65972224\", alpha=\"0.09\", expect_size=\"32986112\"] \n  14 -> 25 [size =\"32986112\"]\n  14 -> 30 [size =\"32986112\"]\n  14 -> 35 [size =\"32986112\"]\n  14 -> 38 [size =\"32986112\"]\n  14 -> 40 [size =\"32986112\"]\n  14 -> 42 [size =\"32986112\"]\n  14 -> 45 [size =\"32986112\"]\n  15 [size=\"101777408\", alpha=\"0.08\", expect_size=\"50888704\"] \n  15 -> 25 [size =\"50888704\"]\n  15 -> 28 [size =\"50888704\"]\n  15 -> 33 [size =\"50888704\"]\n  15 -> 39 [size =\"50888704\"]\n  15 -> 40 [size =\"50888704\"]\n  15 -> 43 [size =\"50888704\"]\n  15 -> 44 [size =\"50888704\"]\n  15 -> 47 [size =\"50888704\"]\n  16 [size=\"19107840\", alpha=\"0.18\", expect_size=\"9553920\"] \n  16 -> 28 [size =\"9553920\"]\n  16 -> 30 [size =\"9553920\"]\n  16 -> 32 [size =\"9553920\"]\n  16 -> 33 [size =\"9553920\"]\n  16 -> 34 [size =\"9553920\"]\n  16 -> 40 [size =\"9553920\"]\n  16 -> 43 [size =\"9553920\"]\n  16 -> 44 [size =\"9553920\"]\n  16 -> 46 [size =\"9553920\"]\n  17 [size=\"19486720\", alpha=\"0.18\", expect_size=\"9743360\"] \n  17 -> 25 [size =\"9743360\"]\n  17 -> 26 [size =\"9743360\"]\n  17 -> 29 [size =\"9743360\"]\n  17 -> 33 [size =\"9743360\"]\n  17 -> 35 [size =\"9743360\"]\n  17 -> 41 [size =\"9743360\"]\n  17 -> 42 [size =\"9743360\"]\n  17 -> 43 [size =\"9743360\"]\n  17 -> 46 [size =\"9743360\"]\n  17 -> 47 [size =\"9743360\"]\n  18 [size=\"72542208\", alpha=\"0.13\", expect_size=\"36271104\"] \n  18 -> 33 [size =\"36271104\"]\n  18 -> 34 [size =\"36271104\"]\n  18 -> 37 [size =\"36271104\"]\n  18 -> 45 [size =\"36271104\"]\n  18 -> 47 [size =\"36271104\"]\n  19 [size=\"59113472\", alpha=\"0.16\", expect_size=\"29556736\"] \n  19 -> 24 [size =\"29556736\"]\n  19 -> 25 [size =\"29556736\"]\n  19 -> 28 [size =\"29556736\"]\n  19 -> 29 [size =\"29556736\"]\n  19 -> 30 [size =\"29556736\"]\n  19 -> 37 [size =\"29556736\"]\n  19 -> 46 [size =\"29556736\"]\n  20 [size=\"97116160\", alpha=\"0.19\", expect_size=\"48558080\"] \n  20 -> 26 [size =\"48558080\"]\n  20 -> 28 [size =\"48558080\"]\n  20 -> 29 [size =\"48558080\"]\n  20 -> 30 [size =\"48558080\"]\n  20 -> 36 [size =\"48558080\"]\n  20 -> 44 [size =\"48558080\"]\n  20 -> 46 [size =\"48558080\"]\n  20 -> 47 [size =\"48558080\"]\n  21 [size=\"48394240\", alpha=\"0.19\", expect_size=\"24197120\"] \n  21 -> 28 [size =\"24197120\"]\n  21 -> 30 [size =\"24197120\"]\n  21 -> 31 [size =\"24197120\"]\n  21 -> 36 [size =\"24197120\"]\n  21 -> 39 [size =\"24197120\"]\n  21 -> 45 [size =\"24197120\"]\n  21 -> 46 [size =\"24197120\"]\n  21 -> 47 [size =\"24197120\"]\n  22 [size=\"27387904\", alpha=\"0.09\", expect_size=\"13693952\"] \n  22 -> 30 [size =\"13693952\"]\n  22 -> 30 [size =\"13693952\"]\n  22 -> 33 [size =\"13693952\"]\n  22 -> 34 [size =\"13693952\"]\n  22 -> 35 [size =\"13693952\"]\n  22 -> 38 [size =\"13693952\"]\n  22 -> 39 [size =\"13693952\"]\n  22 -> 45 [size =\"13693952\"]\n  22 -> 46 [size =\"13693952\"]\n  22 -> 47 [size =\"13693952\"]\n  23 [size=\"72024064\", alpha=\"0.03\", expect_size=\"36012032\"] \n  23 -> 27 [size =\"36012032\"]\n  23 -> 30 [size =\"36012032\"]\n  23 -> 33 [size =\"36012032\"]\n  23 -> 35 [size =\"36012032\"]\n  23 -> 37 [size =\"36012032\"]\n  23 -> 39 [size =\"36012032\"]\n  23 -> 45 [size =\"36012032\"]\n  23 -> 47 [size =\"36012032\"]\n  24 [size=\"46923776\", alpha=\"0.06\", expect_size=\"23461888\"] \n  24 -> 48 [size =\"23461888\"]\n  25 [size=\"90001408\", alpha=\"0.02\", expect_size=\"45000704\"] \n  25 -> 48 [size =\"45000704\"]\n  25 -> 49 [size =\"45000704\"]\n  26 [size=\"33507328\", alpha=\"0.18\", expect_size=\"16753664\"] \n  26 -> 48 [size =\"16753664\"]\n  27 [size=\"22304768\", alpha=\"0.10\", expect_size=\"11152384\"] \n  27 -> 48 [size =\"11152384\"]\n  27 -> 49 [size =\"11152384\"]\n  28 [size=\"14245888\", alpha=\"0.07\", expect_size=\"7122944\"] \n  28 -> 48 [size =\"7122944\"]\n  29 [size=\"76908544\", alpha=\"0.16\", expect_size=\"38454272\"] \n  29 -> 48 [size =\"38454272\"]\n  29 -> 49 [size =\"38454272\"]\n  30 [size=\"57360384\", alpha=\"0.13\", expect_size=\"28680192\"] \n  31 [size=\"51480576\", alpha=\"0.05\", expect_size=\"25740288\"] \n  31 -> 48 [size =\"25740288\"]\n  32 [size=\"45352960\", alpha=\"0.05\", expect_size=\"22676480\"] \n  32 -> 49 [size =\"22676480\"]\n  32 -> 50 [size =\"22676480\"]\n  33 [size=\"89278464\", alpha=\"0.04\", expect_size=\"44639232\"] \n  34 [size=\"103747584\", alpha=\"0.15\", expect_size=\"51873792\"] \n  35 [size=\"37271552\", alpha=\"0.06\", expect_size=\"18635776\"] \n  35 -> 48 [size =\"18635776\"]\n  35 -> 49 [size =\"18635776\"]\n  36 [size=\"45123584\", alpha=\"0.18\", expect_size=\"22561792\"] \n  36 -> 48 [size =\"22561792\"]\n  36 -> 49 [size =\"22561792\"]\n  37 [size=\"34588672\", alpha=\"0.12\", expect_size=\"17294336\"] \n  37 -> 48 [size =\"17294336\"]\n  37 -> 49 [size =\"17294336\"]\n  38 [size=\"79558656\", alpha=\"0.20\", expect_size=\"39779328\"] \n  38 -> 48 [size =\"39779328\"]\n  38 -> 49 [size =\"39779328\"]\n  39 [size=\"15861760\", alpha=\"0.18\", expect_size=\"7930880\"] \n  40 [size=\"89823232\", alpha=\"0.14\", expect_size=\"44911616\"] \n  40 -> 48 [size =\"44911616\"]\n  41 [size=\"56049664\", alpha=\"0.18\", expect_size=\"28024832\"] \n  41 -> 48 [size =\"28024832\"]\n  41 -> 49 [size =\"28024832\"]\n  42 [size=\"81369088\", alpha=\"0.06\", expect_size=\"40684544\"] \n  42 -> 48 [size =\"40684544\"]\n  42 -> 49 [size =\"40684544\"]\n  43 [size=\"103301120\", alpha=\"0.06\", expect_size=\"51650560\"] \n  43 -> 49 [size =\"51650560\"]\n  43 -> 49 [size =\"51650560\"]\n  44 [size=\"28192768\", alpha=\"0.15\", expect_size=\"14096384\"] \n  44 -> 49 [size =\"14096384\"]\n  45 [size=\"100274176\", alpha=\"0.00\", expect_size=\"50137088\"] \n  46 [size=\"33349632\", alpha=\"0.10\", expect_size=\"16674816\"] \n  46 -> 49 [size =\"16674816\"]\n  46 -> 50 [size =\"16674816\"]\n  47 [size=\"24784896\", alpha=\"0.03\", expect_size=\"12392448\"] \n  47 -> 49 [size =\"12392448\"]\n  47 -> 50 [size =\"12392448\"]\n  48 [size=\"83582976\", alpha=\"0.17\", expect_size=\"41791488\"] \n  49 [size=\"83056640\", alpha=\"0.04\", expect_size=\"41528320\"] \n  50 [size=\"71833600\", alpha=\"0.02\", expect_size=\"35916800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.244.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69204480\", alpha=\"0.13\", expect_size=\"27681792\"] \n  1 -> 28 [size =\"27681792\"]\n  1 -> 34 [size =\"27681792\"]\n  1 -> 36 [size =\"27681792\"]\n  1 -> 38 [size =\"27681792\"]\n  1 -> 38 [size =\"27681792\"]\n  1 -> 40 [size =\"27681792\"]\n  1 -> 43 [size =\"27681792\"]\n  1 -> 49 [size =\"27681792\"]\n  2 [size=\"73799680\", alpha=\"0.16\", expect_size=\"29519872\"] \n  2 -> 28 [size =\"29519872\"]\n  2 -> 33 [size =\"29519872\"]\n  2 -> 34 [size =\"29519872\"]\n  2 -> 35 [size =\"29519872\"]\n  2 -> 43 [size =\"29519872\"]\n  2 -> 44 [size =\"29519872\"]\n  2 -> 45 [size =\"29519872\"]\n  2 -> 47 [size =\"29519872\"]\n  2 -> 49 [size =\"29519872\"]\n  3 [size=\"105553920\", alpha=\"0.06\", expect_size=\"42221568\"] \n  3 -> 26 [size =\"42221568\"]\n  3 -> 28 [size =\"42221568\"]\n  3 -> 32 [size =\"42221568\"]\n  3 -> 33 [size =\"42221568\"]\n  3 -> 36 [size =\"42221568\"]\n  3 -> 38 [size =\"42221568\"]\n  3 -> 40 [size =\"42221568\"]\n  3 -> 43 [size =\"42221568\"]\n  3 -> 45 [size =\"42221568\"]\n  3 -> 46 [size =\"42221568\"]\n  3 -> 49 [size =\"42221568\"]\n  4 [size=\"120192000\", alpha=\"0.07\", expect_size=\"48076800\"] \n  4 -> 26 [size =\"48076800\"]\n  4 -> 28 [size =\"48076800\"]\n  4 -> 31 [size =\"48076800\"]\n  4 -> 33 [size =\"48076800\"]\n  4 -> 36 [size =\"48076800\"]\n  4 -> 40 [size =\"48076800\"]\n  4 -> 44 [size =\"48076800\"]\n  4 -> 46 [size =\"48076800\"]\n  4 -> 47 [size =\"48076800\"]\n  4 -> 49 [size =\"48076800\"]\n  4 -> 49 [size =\"48076800\"]\n  5 [size=\"115366400\", alpha=\"0.16\", expect_size=\"46146560\"] \n  5 -> 25 [size =\"46146560\"]\n  5 -> 26 [size =\"46146560\"]\n  5 -> 29 [size =\"46146560\"]\n  5 -> 33 [size =\"46146560\"]\n  5 -> 34 [size =\"46146560\"]\n  5 -> 36 [size =\"46146560\"]\n  5 -> 37 [size =\"46146560\"]\n  5 -> 38 [size =\"46146560\"]\n  5 -> 43 [size =\"46146560\"]\n  5 -> 47 [size =\"46146560\"]\n  5 -> 48 [size =\"46146560\"]\n  6 [size=\"31687680\", alpha=\"0.16\", expect_size=\"12675072\"] \n  6 -> 28 [size =\"12675072\"]\n  6 -> 33 [size =\"12675072\"]\n  6 -> 36 [size =\"12675072\"]\n  6 -> 37 [size =\"12675072\"]\n  6 -> 41 [size =\"12675072\"]\n  6 -> 44 [size =\"12675072\"]\n  6 -> 49 [size =\"12675072\"]\n  7 [size=\"90319360\", alpha=\"0.09\", expect_size=\"36127744\"] \n  7 -> 26 [size =\"36127744\"]\n  7 -> 30 [size =\"36127744\"]\n  7 -> 32 [size =\"36127744\"]\n  7 -> 33 [size =\"36127744\"]\n  7 -> 34 [size =\"36127744\"]\n  7 -> 35 [size =\"36127744\"]\n  7 -> 36 [size =\"36127744\"]\n  7 -> 42 [size =\"36127744\"]\n  7 -> 43 [size =\"36127744\"]\n  7 -> 49 [size =\"36127744\"]\n  8 [size=\"49817600\", alpha=\"0.04\", expect_size=\"19927040\"] \n  8 -> 33 [size =\"19927040\"]\n  8 -> 34 [size =\"19927040\"]\n  8 -> 36 [size =\"19927040\"]\n  8 -> 37 [size =\"19927040\"]\n  8 -> 49 [size =\"19927040\"]\n  9 [size=\"46743040\", alpha=\"0.06\", expect_size=\"18697216\"] \n  9 -> 25 [size =\"18697216\"]\n  9 -> 26 [size =\"18697216\"]\n  9 -> 33 [size =\"18697216\"]\n  9 -> 34 [size =\"18697216\"]\n  9 -> 41 [size =\"18697216\"]\n  9 -> 43 [size =\"18697216\"]\n  9 -> 44 [size =\"18697216\"]\n  9 -> 49 [size =\"18697216\"]\n  10 [size=\"76753920\", alpha=\"0.11\", expect_size=\"30701568\"] \n  10 -> 25 [size =\"30701568\"]\n  10 -> 27 [size =\"30701568\"]\n  10 -> 33 [size =\"30701568\"]\n  10 -> 34 [size =\"30701568\"]\n  10 -> 37 [size =\"30701568\"]\n  10 -> 38 [size =\"30701568\"]\n  10 -> 40 [size =\"30701568\"]\n  10 -> 43 [size =\"30701568\"]\n  10 -> 46 [size =\"30701568\"]\n  11 [size=\"124966400\", alpha=\"0.11\", expect_size=\"49986560\"] \n  11 -> 27 [size =\"49986560\"]\n  11 -> 28 [size =\"49986560\"]\n  11 -> 33 [size =\"49986560\"]\n  11 -> 34 [size =\"49986560\"]\n  11 -> 38 [size =\"49986560\"]\n  11 -> 43 [size =\"49986560\"]\n  11 -> 44 [size =\"49986560\"]\n  11 -> 49 [size =\"49986560\"]\n  11 -> 50 [size =\"49986560\"]\n  12 [size=\"85271040\", alpha=\"0.16\", expect_size=\"34108416\"] \n  12 -> 29 [size =\"34108416\"]\n  12 -> 31 [size =\"34108416\"]\n  12 -> 32 [size =\"34108416\"]\n  12 -> 33 [size =\"34108416\"]\n  12 -> 36 [size =\"34108416\"]\n  12 -> 42 [size =\"34108416\"]\n  12 -> 43 [size =\"34108416\"]\n  13 [size=\"60229120\", alpha=\"0.13\", expect_size=\"24091648\"] \n  13 -> 26 [size =\"24091648\"]\n  13 -> 27 [size =\"24091648\"]\n  13 -> 33 [size =\"24091648\"]\n  13 -> 33 [size =\"24091648\"]\n  13 -> 34 [size =\"24091648\"]\n  13 -> 36 [size =\"24091648\"]\n  13 -> 38 [size =\"24091648\"]\n  13 -> 40 [size =\"24091648\"]\n  13 -> 41 [size =\"24091648\"]\n  13 -> 43 [size =\"24091648\"]\n  13 -> 47 [size =\"24091648\"]\n  13 -> 48 [size =\"24091648\"]\n  13 -> 49 [size =\"24091648\"]\n  14 [size=\"93552640\", alpha=\"0.08\", expect_size=\"37421056\"] \n  14 -> 28 [size =\"37421056\"]\n  14 -> 33 [size =\"37421056\"]\n  14 -> 34 [size =\"37421056\"]\n  14 -> 36 [size =\"37421056\"]\n  14 -> 38 [size =\"37421056\"]\n  14 -> 39 [size =\"37421056\"]\n  14 -> 40 [size =\"37421056\"]\n  14 -> 40 [size =\"37421056\"]\n  14 -> 41 [size =\"37421056\"]\n  14 -> 43 [size =\"37421056\"]\n  14 -> 47 [size =\"37421056\"]\n  14 -> 49 [size =\"37421056\"]\n  15 [size=\"14389760\", alpha=\"0.19\", expect_size=\"5755904\"] \n  15 -> 30 [size =\"5755904\"]\n  15 -> 34 [size =\"5755904\"]\n  15 -> 34 [size =\"5755904\"]\n  15 -> 36 [size =\"5755904\"]\n  15 -> 38 [size =\"5755904\"]\n  15 -> 40 [size =\"5755904\"]\n  15 -> 43 [size =\"5755904\"]\n  16 [size=\"110144000\", alpha=\"0.18\", expect_size=\"44057600\"] \n  16 -> 26 [size =\"44057600\"]\n  16 -> 31 [size =\"44057600\"]\n  16 -> 32 [size =\"44057600\"]\n  16 -> 33 [size =\"44057600\"]\n  16 -> 34 [size =\"44057600\"]\n  16 -> 35 [size =\"44057600\"]\n  16 -> 38 [size =\"44057600\"]\n  16 -> 40 [size =\"44057600\"]\n  16 -> 43 [size =\"44057600\"]\n  16 -> 49 [size =\"44057600\"]\n  17 [size=\"87490560\", alpha=\"0.16\", expect_size=\"34996224\"] \n  17 -> 29 [size =\"34996224\"]\n  17 -> 33 [size =\"34996224\"]\n  17 -> 34 [size =\"34996224\"]\n  17 -> 35 [size =\"34996224\"]\n  17 -> 36 [size =\"34996224\"]\n  17 -> 38 [size =\"34996224\"]\n  17 -> 43 [size =\"34996224\"]\n  17 -> 44 [size =\"34996224\"]\n  17 -> 48 [size =\"34996224\"]\n  17 -> 49 [size =\"34996224\"]\n  18 [size=\"21926400\", alpha=\"0.00\", expect_size=\"8770560\"] \n  18 -> 25 [size =\"8770560\"]\n  18 -> 29 [size =\"8770560\"]\n  18 -> 31 [size =\"8770560\"]\n  18 -> 33 [size =\"8770560\"]\n  18 -> 34 [size =\"8770560\"]\n  18 -> 36 [size =\"8770560\"]\n  18 -> 40 [size =\"8770560\"]\n  18 -> 43 [size =\"8770560\"]\n  18 -> 44 [size =\"8770560\"]\n  18 -> 49 [size =\"8770560\"]\n  19 [size=\"47216640\", alpha=\"0.00\", expect_size=\"18886656\"] \n  19 -> 26 [size =\"18886656\"]\n  19 -> 28 [size =\"18886656\"]\n  19 -> 29 [size =\"18886656\"]\n  19 -> 31 [size =\"18886656\"]\n  19 -> 33 [size =\"18886656\"]\n  19 -> 34 [size =\"18886656\"]\n  19 -> 35 [size =\"18886656\"]\n  19 -> 36 [size =\"18886656\"]\n  19 -> 43 [size =\"18886656\"]\n  19 -> 49 [size =\"18886656\"]\n  20 [size=\"85163520\", alpha=\"0.03\", expect_size=\"34065408\"] \n  20 -> 33 [size =\"34065408\"]\n  20 -> 34 [size =\"34065408\"]\n  20 -> 36 [size =\"34065408\"]\n  20 -> 41 [size =\"34065408\"]\n  20 -> 47 [size =\"34065408\"]\n  20 -> 49 [size =\"34065408\"]\n  21 [size=\"32785920\", alpha=\"0.16\", expect_size=\"13114368\"] \n  21 -> 28 [size =\"13114368\"]\n  21 -> 33 [size =\"13114368\"]\n  21 -> 34 [size =\"13114368\"]\n  21 -> 35 [size =\"13114368\"]\n  21 -> 38 [size =\"13114368\"]\n  21 -> 43 [size =\"13114368\"]\n  21 -> 46 [size =\"13114368\"]\n  21 -> 49 [size =\"13114368\"]\n  22 [size=\"97753600\", alpha=\"0.18\", expect_size=\"39101440\"] \n  22 -> 26 [size =\"39101440\"]\n  22 -> 28 [size =\"39101440\"]\n  22 -> 33 [size =\"39101440\"]\n  22 -> 34 [size =\"39101440\"]\n  22 -> 38 [size =\"39101440\"]\n  22 -> 41 [size =\"39101440\"]\n  22 -> 43 [size =\"39101440\"]\n  23 [size=\"75125760\", alpha=\"0.17\", expect_size=\"30050304\"] \n  23 -> 25 [size =\"30050304\"]\n  23 -> 28 [size =\"30050304\"]\n  23 -> 33 [size =\"30050304\"]\n  23 -> 34 [size =\"30050304\"]\n  23 -> 35 [size =\"30050304\"]\n  23 -> 38 [size =\"30050304\"]\n  23 -> 43 [size =\"30050304\"]\n  23 -> 47 [size =\"30050304\"]\n  24 [size=\"32417280\", alpha=\"0.13\", expect_size=\"12966912\"] \n  24 -> 28 [size =\"12966912\"]\n  24 -> 34 [size =\"12966912\"]\n  24 -> 35 [size =\"12966912\"]\n  24 -> 37 [size =\"12966912\"]\n  24 -> 38 [size =\"12966912\"]\n  24 -> 39 [size =\"12966912\"]\n  24 -> 40 [size =\"12966912\"]\n  24 -> 43 [size =\"12966912\"]\n  24 -> 45 [size =\"12966912\"]\n  24 -> 49 [size =\"12966912\"]\n  25 [size=\"79436800\", alpha=\"0.07\", expect_size=\"31774720\"] \n  26 [size=\"75609600\", alpha=\"0.04\", expect_size=\"30243840\"] \n  27 [size=\"61096960\", alpha=\"0.14\", expect_size=\"24438784\"] \n  28 [size=\"34560000\", alpha=\"0.10\", expect_size=\"13824000\"] \n  29 [size=\"34874880\", alpha=\"0.12\", expect_size=\"13949952\"] \n  30 [size=\"36472320\", alpha=\"0.05\", expect_size=\"14588928\"] \n  31 [size=\"54988800\", alpha=\"0.17\", expect_size=\"21995520\"] \n  32 [size=\"28556800\", alpha=\"0.01\", expect_size=\"11422720\"] \n  33 [size=\"17868800\", alpha=\"0.13\", expect_size=\"7147520\"] \n  34 [size=\"115376640\", alpha=\"0.18\", expect_size=\"46150656\"] \n  35 [size=\"74270720\", alpha=\"0.04\", expect_size=\"29708288\"] \n  36 [size=\"114775040\", alpha=\"0.07\", expect_size=\"45910016\"] \n  37 [size=\"19543040\", alpha=\"0.01\", expect_size=\"7817216\"] \n  38 [size=\"101719040\", alpha=\"0.18\", expect_size=\"40687616\"] \n  39 [size=\"44121600\", alpha=\"0.00\", expect_size=\"17648640\"] \n  40 [size=\"116316160\", alpha=\"0.14\", expect_size=\"46526464\"] \n  41 [size=\"28052480\", alpha=\"0.12\", expect_size=\"11220992\"] \n  42 [size=\"127121920\", alpha=\"0.04\", expect_size=\"50848768\"] \n  43 [size=\"13829120\", alpha=\"0.07\", expect_size=\"5531648\"] \n  44 [size=\"89195520\", alpha=\"0.13\", expect_size=\"35678208\"] \n  45 [size=\"79767040\", alpha=\"0.10\", expect_size=\"31906816\"] \n  46 [size=\"104798720\", alpha=\"0.18\", expect_size=\"41919488\"] \n  47 [size=\"25395200\", alpha=\"0.13\", expect_size=\"10158080\"] \n  48 [size=\"33907200\", alpha=\"0.13\", expect_size=\"13562880\"] \n  49 [size=\"21189120\", alpha=\"0.16\", expect_size=\"8475648\"] \n  50 [size=\"21352960\", alpha=\"0.03\", expect_size=\"8541184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.245.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94812160\", alpha=\"0.16\", expect_size=\"47406080\"] \n  1 -> 9 [size =\"47406080\"]\n  1 -> 11 [size =\"47406080\"]\n  2 [size=\"32231424\", alpha=\"0.19\", expect_size=\"16115712\"] \n  2 -> 9 [size =\"16115712\"]\n  2 -> 12 [size =\"16115712\"]\n  2 -> 13 [size =\"16115712\"]\n  3 [size=\"90599424\", alpha=\"0.03\", expect_size=\"45299712\"] \n  3 -> 9 [size =\"45299712\"]\n  3 -> 13 [size =\"45299712\"]\n  4 [size=\"75120640\", alpha=\"0.03\", expect_size=\"37560320\"] \n  4 -> 13 [size =\"37560320\"]\n  5 [size=\"85803008\", alpha=\"0.17\", expect_size=\"42901504\"] \n  5 -> 9 [size =\"42901504\"]\n  5 -> 11 [size =\"42901504\"]\n  5 -> 12 [size =\"42901504\"]\n  6 [size=\"15417344\", alpha=\"0.13\", expect_size=\"7708672\"] \n  6 -> 9 [size =\"7708672\"]\n  6 -> 10 [size =\"7708672\"]\n  6 -> 12 [size =\"7708672\"]\n  6 -> 13 [size =\"7708672\"]\n  7 [size=\"76867584\", alpha=\"0.10\", expect_size=\"38433792\"] \n  7 -> 12 [size =\"38433792\"]\n  8 [size=\"26134528\", alpha=\"0.09\", expect_size=\"13067264\"] \n  8 -> 11 [size =\"13067264\"]\n  9 [size=\"48275456\", alpha=\"0.12\", expect_size=\"24137728\"] \n  9 -> 15 [size =\"24137728\"]\n  9 -> 16 [size =\"24137728\"]\n  10 [size=\"51218432\", alpha=\"0.11\", expect_size=\"25609216\"] \n  10 -> 15 [size =\"25609216\"]\n  10 -> 17 [size =\"25609216\"]\n  10 -> 18 [size =\"25609216\"]\n  11 [size=\"39626752\", alpha=\"0.01\", expect_size=\"19813376\"] \n  11 -> 18 [size =\"19813376\"]\n  12 [size=\"20801536\", alpha=\"0.02\", expect_size=\"10400768\"] \n  12 -> 14 [size =\"10400768\"]\n  12 -> 17 [size =\"10400768\"]\n  13 [size=\"14311424\", alpha=\"0.02\", expect_size=\"7155712\"] \n  13 -> 15 [size =\"7155712\"]\n  13 -> 16 [size =\"7155712\"]\n  13 -> 17 [size =\"7155712\"]\n  14 [size=\"30652416\", alpha=\"0.08\", expect_size=\"15326208\"] \n  14 -> 21 [size =\"15326208\"]\n  14 -> 22 [size =\"15326208\"]\n  14 -> 23 [size =\"15326208\"]\n  15 [size=\"42848256\", alpha=\"0.18\", expect_size=\"21424128\"] \n  15 -> 21 [size =\"21424128\"]\n  15 -> 22 [size =\"21424128\"]\n  16 [size=\"28372992\", alpha=\"0.11\", expect_size=\"14186496\"] \n  16 -> 21 [size =\"14186496\"]\n  17 [size=\"91480064\", alpha=\"0.19\", expect_size=\"45740032\"] \n  17 -> 20 [size =\"45740032\"]\n  17 -> 23 [size =\"45740032\"]\n  18 [size=\"44402688\", alpha=\"0.17\", expect_size=\"22201344\"] \n  18 -> 19 [size =\"22201344\"]\n  18 -> 20 [size =\"22201344\"]\n  18 -> 22 [size =\"22201344\"]\n  18 -> 23 [size =\"22201344\"]\n  19 [size=\"86921216\", alpha=\"0.16\", expect_size=\"43460608\"] \n  19 -> 25 [size =\"43460608\"]\n  20 [size=\"47609856\", alpha=\"0.04\", expect_size=\"23804928\"] \n  20 -> 27 [size =\"23804928\"]\n  21 [size=\"100503552\", alpha=\"0.10\", expect_size=\"50251776\"] \n  21 -> 25 [size =\"50251776\"]\n  21 -> 28 [size =\"50251776\"]\n  22 [size=\"11474944\", alpha=\"0.00\", expect_size=\"5737472\"] \n  23 [size=\"22456320\", alpha=\"0.08\", expect_size=\"11228160\"] \n  23 -> 24 [size =\"11228160\"]\n  23 -> 26 [size =\"11228160\"]\n  23 -> 27 [size =\"11228160\"]\n  24 [size=\"31940608\", alpha=\"0.09\", expect_size=\"15970304\"] \n  24 -> 29 [size =\"15970304\"]\n  24 -> 33 [size =\"15970304\"]\n  25 [size=\"68904960\", alpha=\"0.06\", expect_size=\"34452480\"] \n  25 -> 30 [size =\"34452480\"]\n  25 -> 32 [size =\"34452480\"]\n  26 [size=\"58789888\", alpha=\"0.04\", expect_size=\"29394944\"] \n  27 [size=\"18542592\", alpha=\"0.17\", expect_size=\"9271296\"] \n  27 -> 29 [size =\"9271296\"]\n  27 -> 32 [size =\"9271296\"]\n  27 -> 33 [size =\"9271296\"]\n  27 -> 34 [size =\"9271296\"]\n  28 [size=\"15564800\", alpha=\"0.12\", expect_size=\"7782400\"] \n  28 -> 29 [size =\"7782400\"]\n  28 -> 31 [size =\"7782400\"]\n  29 [size=\"94461952\", alpha=\"0.16\", expect_size=\"47230976\"] \n  29 -> 36 [size =\"47230976\"]\n  29 -> 37 [size =\"47230976\"]\n  29 -> 41 [size =\"47230976\"]\n  30 [size=\"74024960\", alpha=\"0.08\", expect_size=\"37012480\"] \n  30 -> 35 [size =\"37012480\"]\n  30 -> 43 [size =\"37012480\"]\n  31 [size=\"91568128\", alpha=\"0.06\", expect_size=\"45784064\"] \n  31 -> 35 [size =\"45784064\"]\n  31 -> 39 [size =\"45784064\"]\n  31 -> 40 [size =\"45784064\"]\n  31 -> 41 [size =\"45784064\"]\n  31 -> 43 [size =\"45784064\"]\n  32 [size=\"42676224\", alpha=\"0.07\", expect_size=\"21338112\"] \n  32 -> 38 [size =\"21338112\"]\n  32 -> 41 [size =\"21338112\"]\n  32 -> 43 [size =\"21338112\"]\n  33 [size=\"43470848\", alpha=\"0.08\", expect_size=\"21735424\"] \n  33 -> 38 [size =\"21735424\"]\n  33 -> 41 [size =\"21735424\"]\n  33 -> 43 [size =\"21735424\"]\n  34 [size=\"79691776\", alpha=\"0.14\", expect_size=\"39845888\"] \n  34 -> 35 [size =\"39845888\"]\n  34 -> 37 [size =\"39845888\"]\n  34 -> 38 [size =\"39845888\"]\n  34 -> 42 [size =\"39845888\"]\n  35 [size=\"27232256\", alpha=\"0.07\", expect_size=\"13616128\"] \n  35 -> 44 [size =\"13616128\"]\n  36 [size=\"55783424\", alpha=\"0.03\", expect_size=\"27891712\"] \n  36 -> 45 [size =\"27891712\"]\n  36 -> 47 [size =\"27891712\"]\n  37 [size=\"75905024\", alpha=\"0.16\", expect_size=\"37952512\"] \n  37 -> 47 [size =\"37952512\"]\n  38 [size=\"59607040\", alpha=\"0.17\", expect_size=\"29803520\"] \n  38 -> 44 [size =\"29803520\"]\n  38 -> 47 [size =\"29803520\"]\n  38 -> 48 [size =\"29803520\"]\n  38 -> 49 [size =\"29803520\"]\n  39 [size=\"22540288\", alpha=\"0.14\", expect_size=\"11270144\"] \n  39 -> 45 [size =\"11270144\"]\n  39 -> 46 [size =\"11270144\"]\n  39 -> 47 [size =\"11270144\"]\n  39 -> 48 [size =\"11270144\"]\n  39 -> 50 [size =\"11270144\"]\n  40 [size=\"96866304\", alpha=\"0.19\", expect_size=\"48433152\"] \n  40 -> 46 [size =\"48433152\"]\n  40 -> 48 [size =\"48433152\"]\n  40 -> 49 [size =\"48433152\"]\n  41 [size=\"40206336\", alpha=\"0.03\", expect_size=\"20103168\"] \n  41 -> 46 [size =\"20103168\"]\n  41 -> 47 [size =\"20103168\"]\n  42 [size=\"70445056\", alpha=\"0.07\", expect_size=\"35222528\"] \n  42 -> 46 [size =\"35222528\"]\n  42 -> 49 [size =\"35222528\"]\n  43 [size=\"103526400\", alpha=\"0.13\", expect_size=\"51763200\"] \n  43 -> 47 [size =\"51763200\"]\n  43 -> 50 [size =\"51763200\"]\n  44 [size=\"48906240\", alpha=\"0.04\", expect_size=\"24453120\"] \n  45 [size=\"21125120\", alpha=\"0.08\", expect_size=\"10562560\"] \n  46 [size=\"52545536\", alpha=\"0.02\", expect_size=\"26272768\"] \n  47 [size=\"66684928\", alpha=\"0.17\", expect_size=\"33342464\"] \n  48 [size=\"50163712\", alpha=\"0.14\", expect_size=\"25081856\"] \n  49 [size=\"36900864\", alpha=\"0.08\", expect_size=\"18450432\"] \n  50 [size=\"103335936\", alpha=\"0.16\", expect_size=\"51667968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.246.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109611520\", alpha=\"0.17\", expect_size=\"43844608\"] \n  1 -> 6 [size =\"43844608\"]\n  1 -> 7 [size =\"43844608\"]\n  1 -> 10 [size =\"43844608\"]\n  1 -> 11 [size =\"43844608\"]\n  2 [size=\"17052160\", alpha=\"0.18\", expect_size=\"6820864\"] \n  2 -> 5 [size =\"6820864\"]\n  2 -> 6 [size =\"6820864\"]\n  2 -> 7 [size =\"6820864\"]\n  2 -> 8 [size =\"6820864\"]\n  3 [size=\"76244480\", alpha=\"0.04\", expect_size=\"30497792\"] \n  3 -> 5 [size =\"30497792\"]\n  3 -> 6 [size =\"30497792\"]\n  3 -> 9 [size =\"30497792\"]\n  4 [size=\"125414400\", alpha=\"0.02\", expect_size=\"50165760\"] \n  4 -> 5 [size =\"50165760\"]\n  4 -> 9 [size =\"50165760\"]\n  4 -> 10 [size =\"50165760\"]\n  5 [size=\"42821120\", alpha=\"0.03\", expect_size=\"17128448\"] \n  5 -> 14 [size =\"17128448\"]\n  5 -> 15 [size =\"17128448\"]\n  6 [size=\"28170240\", alpha=\"0.16\", expect_size=\"11268096\"] \n  6 -> 12 [size =\"11268096\"]\n  6 -> 15 [size =\"11268096\"]\n  7 [size=\"35233280\", alpha=\"0.12\", expect_size=\"14093312\"] \n  7 -> 12 [size =\"14093312\"]\n  7 -> 15 [size =\"14093312\"]\n  8 [size=\"54981120\", alpha=\"0.16\", expect_size=\"21992448\"] \n  8 -> 12 [size =\"21992448\"]\n  9 [size=\"87393280\", alpha=\"0.14\", expect_size=\"34957312\"] \n  9 -> 14 [size =\"34957312\"]\n  10 [size=\"111127040\", alpha=\"0.14\", expect_size=\"44450816\"] \n  10 -> 14 [size =\"44450816\"]\n  10 -> 15 [size =\"44450816\"]\n  11 [size=\"130964480\", alpha=\"0.05\", expect_size=\"52385792\"] \n  11 -> 12 [size =\"52385792\"]\n  11 -> 13 [size =\"52385792\"]\n  11 -> 15 [size =\"52385792\"]\n  12 [size=\"115115520\", alpha=\"0.02\", expect_size=\"46046208\"] \n  12 -> 16 [size =\"46046208\"]\n  12 -> 19 [size =\"46046208\"]\n  13 [size=\"104192000\", alpha=\"0.16\", expect_size=\"41676800\"] \n  13 -> 16 [size =\"41676800\"]\n  13 -> 17 [size =\"41676800\"]\n  13 -> 18 [size =\"41676800\"]\n  14 [size=\"125719040\", alpha=\"0.05\", expect_size=\"50287616\"] \n  14 -> 17 [size =\"50287616\"]\n  14 -> 18 [size =\"50287616\"]\n  15 [size=\"21365760\", alpha=\"0.11\", expect_size=\"8546304\"] \n  15 -> 16 [size =\"8546304\"]\n  15 -> 20 [size =\"8546304\"]\n  16 [size=\"38663680\", alpha=\"0.13\", expect_size=\"15465472\"] \n  16 -> 24 [size =\"15465472\"]\n  16 -> 25 [size =\"15465472\"]\n  17 [size=\"14325760\", alpha=\"0.09\", expect_size=\"5730304\"] \n  17 -> 24 [size =\"5730304\"]\n  17 -> 25 [size =\"5730304\"]\n  18 [size=\"86092800\", alpha=\"0.16\", expect_size=\"34437120\"] \n  18 -> 22 [size =\"34437120\"]\n  18 -> 23 [size =\"34437120\"]\n  18 -> 25 [size =\"34437120\"]\n  18 -> 26 [size =\"34437120\"]\n  19 [size=\"61834240\", alpha=\"0.11\", expect_size=\"24733696\"] \n  19 -> 21 [size =\"24733696\"]\n  19 -> 22 [size =\"24733696\"]\n  19 -> 26 [size =\"24733696\"]\n  20 [size=\"25487360\", alpha=\"0.15\", expect_size=\"10194944\"] \n  20 -> 21 [size =\"10194944\"]\n  20 -> 22 [size =\"10194944\"]\n  21 [size=\"107719680\", alpha=\"0.16\", expect_size=\"43087872\"] \n  21 -> 27 [size =\"43087872\"]\n  21 -> 30 [size =\"43087872\"]\n  21 -> 33 [size =\"43087872\"]\n  21 -> 34 [size =\"43087872\"]\n  22 [size=\"19453440\", alpha=\"0.17\", expect_size=\"7781376\"] \n  22 -> 29 [size =\"7781376\"]\n  22 -> 32 [size =\"7781376\"]\n  22 -> 35 [size =\"7781376\"]\n  23 [size=\"29363200\", alpha=\"0.09\", expect_size=\"11745280\"] \n  23 -> 29 [size =\"11745280\"]\n  23 -> 31 [size =\"11745280\"]\n  23 -> 33 [size =\"11745280\"]\n  23 -> 34 [size =\"11745280\"]\n  23 -> 35 [size =\"11745280\"]\n  24 [size=\"123399680\", alpha=\"0.00\", expect_size=\"49359872\"] \n  24 -> 31 [size =\"49359872\"]\n  24 -> 32 [size =\"49359872\"]\n  24 -> 34 [size =\"49359872\"]\n  24 -> 35 [size =\"49359872\"]\n  25 [size=\"33643520\", alpha=\"0.16\", expect_size=\"13457408\"] \n  25 -> 28 [size =\"13457408\"]\n  25 -> 30 [size =\"13457408\"]\n  25 -> 31 [size =\"13457408\"]\n  25 -> 34 [size =\"13457408\"]\n  26 [size=\"96414720\", alpha=\"0.15\", expect_size=\"38565888\"] \n  26 -> 28 [size =\"38565888\"]\n  26 -> 30 [size =\"38565888\"]\n  26 -> 31 [size =\"38565888\"]\n  26 -> 32 [size =\"38565888\"]\n  27 [size=\"55444480\", alpha=\"0.17\", expect_size=\"22177792\"] \n  28 [size=\"107688960\", alpha=\"0.07\", expect_size=\"43075584\"] \n  28 -> 39 [size =\"43075584\"]\n  29 [size=\"83238400\", alpha=\"0.09\", expect_size=\"33295360\"] \n  30 [size=\"29038080\", alpha=\"0.08\", expect_size=\"11615232\"] \n  30 -> 36 [size =\"11615232\"]\n  30 -> 39 [size =\"11615232\"]\n  31 [size=\"118013440\", alpha=\"0.06\", expect_size=\"47205376\"] \n  31 -> 38 [size =\"47205376\"]\n  32 [size=\"92776960\", alpha=\"0.02\", expect_size=\"37110784\"] \n  33 [size=\"75235840\", alpha=\"0.14\", expect_size=\"30094336\"] \n  33 -> 38 [size =\"30094336\"]\n  34 [size=\"128532480\", alpha=\"0.04\", expect_size=\"51412992\"] \n  35 [size=\"129044480\", alpha=\"0.16\", expect_size=\"51617792\"] \n  35 -> 37 [size =\"51617792\"]\n  35 -> 38 [size =\"51617792\"]\n  36 [size=\"106488320\", alpha=\"0.12\", expect_size=\"42595328\"] \n  36 -> 42 [size =\"42595328\"]\n  36 -> 43 [size =\"42595328\"]\n  36 -> 44 [size =\"42595328\"]\n  37 [size=\"75924480\", alpha=\"0.09\", expect_size=\"30369792\"] \n  37 -> 40 [size =\"30369792\"]\n  37 -> 41 [size =\"30369792\"]\n  37 -> 42 [size =\"30369792\"]\n  37 -> 44 [size =\"30369792\"]\n  37 -> 45 [size =\"30369792\"]\n  38 [size=\"59484160\", alpha=\"0.18\", expect_size=\"23793664\"] \n  38 -> 40 [size =\"23793664\"]\n  38 -> 41 [size =\"23793664\"]\n  38 -> 42 [size =\"23793664\"]\n  38 -> 45 [size =\"23793664\"]\n  39 [size=\"99038720\", alpha=\"0.15\", expect_size=\"39615488\"] \n  39 -> 43 [size =\"39615488\"]\n  40 [size=\"32947200\", alpha=\"0.14\", expect_size=\"13178880\"] \n  40 -> 47 [size =\"13178880\"]\n  41 [size=\"77196800\", alpha=\"0.09\", expect_size=\"30878720\"] \n  42 [size=\"113712640\", alpha=\"0.05\", expect_size=\"45485056\"] \n  43 [size=\"126543360\", alpha=\"0.04\", expect_size=\"50617344\"] \n  43 -> 48 [size =\"50617344\"]\n  44 [size=\"88808960\", alpha=\"0.02\", expect_size=\"35523584\"] \n  44 -> 46 [size =\"35523584\"]\n  44 -> 47 [size =\"35523584\"]\n  44 -> 48 [size =\"35523584\"]\n  45 [size=\"113121280\", alpha=\"0.04\", expect_size=\"45248512\"] \n  45 -> 46 [size =\"45248512\"]\n  45 -> 47 [size =\"45248512\"]\n  46 [size=\"89774080\", alpha=\"0.19\", expect_size=\"35909632\"] \n  46 -> 50 [size =\"35909632\"]\n  47 [size=\"44326400\", alpha=\"0.01\", expect_size=\"17730560\"] \n  48 [size=\"95964160\", alpha=\"0.00\", expect_size=\"38385664\"] \n  48 -> 49 [size =\"38385664\"]\n  49 [size=\"81745920\", alpha=\"0.11\", expect_size=\"32698368\"] \n  50 [size=\"50396160\", alpha=\"0.04\", expect_size=\"20158464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.247.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84910080\", alpha=\"0.05\", expect_size=\"42455040\"] \n  1 -> 47 [size =\"42455040\"]\n  1 -> 50 [size =\"42455040\"]\n  2 [size=\"89409536\", alpha=\"0.11\", expect_size=\"44704768\"] \n  2 -> 47 [size =\"44704768\"]\n  2 -> 50 [size =\"44704768\"]\n  3 [size=\"68347904\", alpha=\"0.17\", expect_size=\"34173952\"] \n  3 -> 48 [size =\"34173952\"]\n  3 -> 50 [size =\"34173952\"]\n  4 [size=\"93083648\", alpha=\"0.03\", expect_size=\"46541824\"] \n  4 -> 50 [size =\"46541824\"]\n  5 [size=\"87121920\", alpha=\"0.08\", expect_size=\"43560960\"] \n  5 -> 48 [size =\"43560960\"]\n  5 -> 50 [size =\"43560960\"]\n  6 [size=\"80138240\", alpha=\"0.15\", expect_size=\"40069120\"] \n  6 -> 46 [size =\"40069120\"]\n  6 -> 48 [size =\"40069120\"]\n  6 -> 49 [size =\"40069120\"]\n  7 [size=\"65495040\", alpha=\"0.13\", expect_size=\"32747520\"] \n  8 [size=\"13422592\", alpha=\"0.12\", expect_size=\"6711296\"] \n  9 [size=\"13852672\", alpha=\"0.07\", expect_size=\"6926336\"] \n  9 -> 48 [size =\"6926336\"]\n  10 [size=\"96638976\", alpha=\"0.05\", expect_size=\"48319488\"] \n  11 [size=\"85790720\", alpha=\"0.03\", expect_size=\"42895360\"] \n  11 -> 48 [size =\"42895360\"]\n  12 [size=\"16429056\", alpha=\"0.11\", expect_size=\"8214528\"] \n  12 -> 48 [size =\"8214528\"]\n  13 [size=\"68753408\", alpha=\"0.08\", expect_size=\"34376704\"] \n  13 -> 47 [size =\"34376704\"]\n  14 [size=\"53176320\", alpha=\"0.01\", expect_size=\"26588160\"] \n  14 -> 49 [size =\"26588160\"]\n  14 -> 50 [size =\"26588160\"]\n  15 [size=\"65832960\", alpha=\"0.18\", expect_size=\"32916480\"] \n  15 -> 50 [size =\"32916480\"]\n  16 [size=\"103061504\", alpha=\"0.19\", expect_size=\"51530752\"] \n  16 -> 50 [size =\"51530752\"]\n  17 [size=\"81395712\", alpha=\"0.03\", expect_size=\"40697856\"] \n  17 -> 49 [size =\"40697856\"]\n  18 [size=\"48406528\", alpha=\"0.05\", expect_size=\"24203264\"] \n  18 -> 46 [size =\"24203264\"]\n  19 [size=\"102856704\", alpha=\"0.08\", expect_size=\"51428352\"] \n  19 -> 50 [size =\"51428352\"]\n  20 [size=\"42500096\", alpha=\"0.05\", expect_size=\"21250048\"] \n  20 -> 47 [size =\"21250048\"]\n  20 -> 48 [size =\"21250048\"]\n  20 -> 49 [size =\"21250048\"]\n  20 -> 50 [size =\"21250048\"]\n  21 [size=\"65245184\", alpha=\"0.17\", expect_size=\"32622592\"] \n  21 -> 47 [size =\"32622592\"]\n  21 -> 50 [size =\"32622592\"]\n  22 [size=\"79550464\", alpha=\"0.06\", expect_size=\"39775232\"] \n  22 -> 49 [size =\"39775232\"]\n  22 -> 50 [size =\"39775232\"]\n  23 [size=\"38916096\", alpha=\"0.07\", expect_size=\"19458048\"] \n  24 [size=\"76703744\", alpha=\"0.06\", expect_size=\"38351872\"] \n  24 -> 47 [size =\"38351872\"]\n  24 -> 50 [size =\"38351872\"]\n  25 [size=\"82454528\", alpha=\"0.01\", expect_size=\"41227264\"] \n  25 -> 48 [size =\"41227264\"]\n  25 -> 49 [size =\"41227264\"]\n  26 [size=\"70977536\", alpha=\"0.10\", expect_size=\"35488768\"] \n  26 -> 48 [size =\"35488768\"]\n  27 [size=\"64991232\", alpha=\"0.12\", expect_size=\"32495616\"] \n  27 -> 49 [size =\"32495616\"]\n  27 -> 50 [size =\"32495616\"]\n  28 [size=\"78948352\", alpha=\"0.14\", expect_size=\"39474176\"] \n  28 -> 47 [size =\"39474176\"]\n  29 [size=\"101529600\", alpha=\"0.16\", expect_size=\"50764800\"] \n  29 -> 47 [size =\"50764800\"]\n  29 -> 50 [size =\"50764800\"]\n  30 [size=\"45600768\", alpha=\"0.17\", expect_size=\"22800384\"] \n  30 -> 50 [size =\"22800384\"]\n  31 [size=\"67188736\", alpha=\"0.14\", expect_size=\"33594368\"] \n  31 -> 49 [size =\"33594368\"]\n  32 [size=\"51976192\", alpha=\"0.12\", expect_size=\"25988096\"] \n  32 -> 49 [size =\"25988096\"]\n  33 [size=\"78886912\", alpha=\"0.03\", expect_size=\"39443456\"] \n  33 -> 46 [size =\"39443456\"]\n  33 -> 47 [size =\"39443456\"]\n  34 [size=\"17041408\", alpha=\"0.02\", expect_size=\"8520704\"] \n  34 -> 47 [size =\"8520704\"]\n  34 -> 49 [size =\"8520704\"]\n  35 [size=\"43409408\", alpha=\"0.14\", expect_size=\"21704704\"] \n  35 -> 46 [size =\"21704704\"]\n  35 -> 49 [size =\"21704704\"]\n  35 -> 50 [size =\"21704704\"]\n  36 [size=\"45885440\", alpha=\"0.05\", expect_size=\"22942720\"] \n  36 -> 48 [size =\"22942720\"]\n  37 [size=\"94124032\", alpha=\"0.11\", expect_size=\"47062016\"] \n  37 -> 47 [size =\"47062016\"]\n  38 [size=\"54388736\", alpha=\"0.05\", expect_size=\"27194368\"] \n  38 -> 50 [size =\"27194368\"]\n  39 [size=\"23992320\", alpha=\"0.18\", expect_size=\"11996160\"] \n  39 -> 46 [size =\"11996160\"]\n  39 -> 50 [size =\"11996160\"]\n  40 [size=\"100673536\", alpha=\"0.18\", expect_size=\"50336768\"] \n  40 -> 49 [size =\"50336768\"]\n  40 -> 50 [size =\"50336768\"]\n  41 [size=\"87470080\", alpha=\"0.10\", expect_size=\"43735040\"] \n  41 -> 47 [size =\"43735040\"]\n  42 [size=\"59688960\", alpha=\"0.17\", expect_size=\"29844480\"] \n  43 [size=\"23273472\", alpha=\"0.10\", expect_size=\"11636736\"] \n  44 [size=\"36493312\", alpha=\"0.16\", expect_size=\"18246656\"] \n  45 [size=\"47669248\", alpha=\"0.18\", expect_size=\"23834624\"] \n  46 [size=\"17776640\", alpha=\"0.13\", expect_size=\"8888320\"] \n  47 [size=\"39393280\", alpha=\"0.19\", expect_size=\"19696640\"] \n  48 [size=\"89055232\", alpha=\"0.20\", expect_size=\"44527616\"] \n  49 [size=\"15941632\", alpha=\"0.20\", expect_size=\"7970816\"] \n  50 [size=\"101169152\", alpha=\"0.07\", expect_size=\"50584576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.248.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28533760\", alpha=\"0.13\", expect_size=\"11413504\"] \n  1 -> 14 [size =\"11413504\"]\n  1 -> 16 [size =\"11413504\"]\n  1 -> 17 [size =\"11413504\"]\n  1 -> 19 [size =\"11413504\"]\n  1 -> 21 [size =\"11413504\"]\n  1 -> 27 [size =\"11413504\"]\n  2 [size=\"29847040\", alpha=\"0.10\", expect_size=\"11938816\"] \n  2 -> 12 [size =\"11938816\"]\n  2 -> 13 [size =\"11938816\"]\n  2 -> 14 [size =\"11938816\"]\n  2 -> 15 [size =\"11938816\"]\n  2 -> 16 [size =\"11938816\"]\n  2 -> 18 [size =\"11938816\"]\n  2 -> 19 [size =\"11938816\"]\n  3 [size=\"113489920\", alpha=\"0.09\", expect_size=\"45395968\"] \n  3 -> 12 [size =\"45395968\"]\n  3 -> 13 [size =\"45395968\"]\n  3 -> 15 [size =\"45395968\"]\n  3 -> 19 [size =\"45395968\"]\n  3 -> 20 [size =\"45395968\"]\n  3 -> 22 [size =\"45395968\"]\n  3 -> 27 [size =\"45395968\"]\n  4 [size=\"99732480\", alpha=\"0.15\", expect_size=\"39892992\"] \n  4 -> 14 [size =\"39892992\"]\n  4 -> 16 [size =\"39892992\"]\n  4 -> 17 [size =\"39892992\"]\n  4 -> 19 [size =\"39892992\"]\n  4 -> 21 [size =\"39892992\"]\n  4 -> 22 [size =\"39892992\"]\n  4 -> 27 [size =\"39892992\"]\n  5 [size=\"102049280\", alpha=\"0.09\", expect_size=\"40819712\"] \n  5 -> 13 [size =\"40819712\"]\n  5 -> 14 [size =\"40819712\"]\n  5 -> 16 [size =\"40819712\"]\n  5 -> 19 [size =\"40819712\"]\n  5 -> 21 [size =\"40819712\"]\n  5 -> 22 [size =\"40819712\"]\n  6 [size=\"23710720\", alpha=\"0.06\", expect_size=\"9484288\"] \n  6 -> 13 [size =\"9484288\"]\n  6 -> 14 [size =\"9484288\"]\n  6 -> 15 [size =\"9484288\"]\n  6 -> 16 [size =\"9484288\"]\n  6 -> 19 [size =\"9484288\"]\n  6 -> 20 [size =\"9484288\"]\n  6 -> 22 [size =\"9484288\"]\n  7 [size=\"19159040\", alpha=\"0.01\", expect_size=\"7663616\"] \n  7 -> 12 [size =\"7663616\"]\n  7 -> 13 [size =\"7663616\"]\n  7 -> 14 [size =\"7663616\"]\n  7 -> 15 [size =\"7663616\"]\n  7 -> 16 [size =\"7663616\"]\n  7 -> 19 [size =\"7663616\"]\n  7 -> 20 [size =\"7663616\"]\n  7 -> 24 [size =\"7663616\"]\n  8 [size=\"16660480\", alpha=\"0.11\", expect_size=\"6664192\"] \n  8 -> 14 [size =\"6664192\"]\n  8 -> 20 [size =\"6664192\"]\n  8 -> 21 [size =\"6664192\"]\n  8 -> 27 [size =\"6664192\"]\n  9 [size=\"17730560\", alpha=\"0.01\", expect_size=\"7092224\"] \n  9 -> 12 [size =\"7092224\"]\n  9 -> 14 [size =\"7092224\"]\n  9 -> 15 [size =\"7092224\"]\n  9 -> 18 [size =\"7092224\"]\n  9 -> 19 [size =\"7092224\"]\n  9 -> 20 [size =\"7092224\"]\n  9 -> 21 [size =\"7092224\"]\n  9 -> 22 [size =\"7092224\"]\n  9 -> 27 [size =\"7092224\"]\n  10 [size=\"29084160\", alpha=\"0.19\", expect_size=\"11633664\"] \n  10 -> 15 [size =\"11633664\"]\n  10 -> 16 [size =\"11633664\"]\n  10 -> 19 [size =\"11633664\"]\n  10 -> 20 [size =\"11633664\"]\n  10 -> 21 [size =\"11633664\"]\n  10 -> 23 [size =\"11633664\"]\n  10 -> 26 [size =\"11633664\"]\n  10 -> 27 [size =\"11633664\"]\n  11 [size=\"93895680\", alpha=\"0.04\", expect_size=\"37558272\"] \n  11 -> 12 [size =\"37558272\"]\n  11 -> 13 [size =\"37558272\"]\n  11 -> 16 [size =\"37558272\"]\n  11 -> 17 [size =\"37558272\"]\n  11 -> 19 [size =\"37558272\"]\n  11 -> 20 [size =\"37558272\"]\n  11 -> 21 [size =\"37558272\"]\n  11 -> 25 [size =\"37558272\"]\n  11 -> 27 [size =\"37558272\"]\n  12 [size=\"51215360\", alpha=\"0.09\", expect_size=\"20486144\"] \n  12 -> 28 [size =\"20486144\"]\n  12 -> 30 [size =\"20486144\"]\n  12 -> 33 [size =\"20486144\"]\n  12 -> 34 [size =\"20486144\"]\n  12 -> 35 [size =\"20486144\"]\n  12 -> 36 [size =\"20486144\"]\n  12 -> 37 [size =\"20486144\"]\n  12 -> 45 [size =\"20486144\"]\n  13 [size=\"109987840\", alpha=\"0.12\", expect_size=\"43995136\"] \n  13 -> 30 [size =\"43995136\"]\n  13 -> 31 [size =\"43995136\"]\n  13 -> 33 [size =\"43995136\"]\n  13 -> 36 [size =\"43995136\"]\n  13 -> 37 [size =\"43995136\"]\n  13 -> 42 [size =\"43995136\"]\n  13 -> 44 [size =\"43995136\"]\n  13 -> 45 [size =\"43995136\"]\n  14 [size=\"46341120\", alpha=\"0.18\", expect_size=\"18536448\"] \n  14 -> 31 [size =\"18536448\"]\n  14 -> 32 [size =\"18536448\"]\n  14 -> 35 [size =\"18536448\"]\n  14 -> 36 [size =\"18536448\"]\n  14 -> 37 [size =\"18536448\"]\n  14 -> 39 [size =\"18536448\"]\n  14 -> 40 [size =\"18536448\"]\n  14 -> 41 [size =\"18536448\"]\n  14 -> 43 [size =\"18536448\"]\n  15 [size=\"14888960\", alpha=\"0.03\", expect_size=\"5955584\"] \n  15 -> 28 [size =\"5955584\"]\n  15 -> 29 [size =\"5955584\"]\n  15 -> 30 [size =\"5955584\"]\n  15 -> 31 [size =\"5955584\"]\n  15 -> 35 [size =\"5955584\"]\n  15 -> 37 [size =\"5955584\"]\n  15 -> 38 [size =\"5955584\"]\n  15 -> 41 [size =\"5955584\"]\n  15 -> 42 [size =\"5955584\"]\n  15 -> 45 [size =\"5955584\"]\n  16 [size=\"66846720\", alpha=\"0.18\", expect_size=\"26738688\"] \n  16 -> 29 [size =\"26738688\"]\n  16 -> 33 [size =\"26738688\"]\n  16 -> 35 [size =\"26738688\"]\n  16 -> 38 [size =\"26738688\"]\n  16 -> 42 [size =\"26738688\"]\n  17 [size=\"103964160\", alpha=\"0.13\", expect_size=\"41585664\"] \n  17 -> 28 [size =\"41585664\"]\n  17 -> 29 [size =\"41585664\"]\n  17 -> 33 [size =\"41585664\"]\n  17 -> 35 [size =\"41585664\"]\n  17 -> 36 [size =\"41585664\"]\n  17 -> 38 [size =\"41585664\"]\n  17 -> 45 [size =\"41585664\"]\n  18 [size=\"109171200\", alpha=\"0.02\", expect_size=\"43668480\"] \n  18 -> 28 [size =\"43668480\"]\n  18 -> 29 [size =\"43668480\"]\n  18 -> 33 [size =\"43668480\"]\n  18 -> 35 [size =\"43668480\"]\n  18 -> 36 [size =\"43668480\"]\n  18 -> 37 [size =\"43668480\"]\n  18 -> 38 [size =\"43668480\"]\n  18 -> 39 [size =\"43668480\"]\n  18 -> 40 [size =\"43668480\"]\n  18 -> 43 [size =\"43668480\"]\n  18 -> 44 [size =\"43668480\"]\n  19 [size=\"56199680\", alpha=\"0.13\", expect_size=\"22479872\"] \n  19 -> 28 [size =\"22479872\"]\n  19 -> 29 [size =\"22479872\"]\n  19 -> 32 [size =\"22479872\"]\n  19 -> 33 [size =\"22479872\"]\n  19 -> 34 [size =\"22479872\"]\n  19 -> 35 [size =\"22479872\"]\n  19 -> 36 [size =\"22479872\"]\n  19 -> 37 [size =\"22479872\"]\n  19 -> 38 [size =\"22479872\"]\n  19 -> 40 [size =\"22479872\"]\n  19 -> 43 [size =\"22479872\"]\n  19 -> 45 [size =\"22479872\"]\n  20 [size=\"61304320\", alpha=\"0.17\", expect_size=\"24521728\"] \n  20 -> 28 [size =\"24521728\"]\n  20 -> 29 [size =\"24521728\"]\n  20 -> 30 [size =\"24521728\"]\n  20 -> 32 [size =\"24521728\"]\n  20 -> 33 [size =\"24521728\"]\n  20 -> 36 [size =\"24521728\"]\n  20 -> 37 [size =\"24521728\"]\n  20 -> 40 [size =\"24521728\"]\n  20 -> 41 [size =\"24521728\"]\n  20 -> 43 [size =\"24521728\"]\n  21 [size=\"53593600\", alpha=\"0.05\", expect_size=\"21437440\"] \n  21 -> 28 [size =\"21437440\"]\n  21 -> 29 [size =\"21437440\"]\n  21 -> 32 [size =\"21437440\"]\n  21 -> 33 [size =\"21437440\"]\n  21 -> 33 [size =\"21437440\"]\n  21 -> 36 [size =\"21437440\"]\n  21 -> 37 [size =\"21437440\"]\n  21 -> 40 [size =\"21437440\"]\n  22 [size=\"78300160\", alpha=\"0.15\", expect_size=\"31320064\"] \n  22 -> 28 [size =\"31320064\"]\n  22 -> 29 [size =\"31320064\"]\n  22 -> 32 [size =\"31320064\"]\n  22 -> 33 [size =\"31320064\"]\n  22 -> 36 [size =\"31320064\"]\n  22 -> 39 [size =\"31320064\"]\n  22 -> 40 [size =\"31320064\"]\n  22 -> 42 [size =\"31320064\"]\n  23 [size=\"129000960\", alpha=\"0.02\", expect_size=\"51600384\"] \n  23 -> 28 [size =\"51600384\"]\n  23 -> 29 [size =\"51600384\"]\n  23 -> 30 [size =\"51600384\"]\n  23 -> 33 [size =\"51600384\"]\n  23 -> 36 [size =\"51600384\"]\n  23 -> 38 [size =\"51600384\"]\n  23 -> 39 [size =\"51600384\"]\n  23 -> 40 [size =\"51600384\"]\n  23 -> 41 [size =\"51600384\"]\n  23 -> 45 [size =\"51600384\"]\n  24 [size=\"84677120\", alpha=\"0.04\", expect_size=\"33870848\"] \n  24 -> 28 [size =\"33870848\"]\n  24 -> 29 [size =\"33870848\"]\n  24 -> 33 [size =\"33870848\"]\n  24 -> 40 [size =\"33870848\"]\n  24 -> 44 [size =\"33870848\"]\n  24 -> 45 [size =\"33870848\"]\n  25 [size=\"74549760\", alpha=\"0.01\", expect_size=\"29819904\"] \n  25 -> 28 [size =\"29819904\"]\n  25 -> 31 [size =\"29819904\"]\n  25 -> 33 [size =\"29819904\"]\n  25 -> 36 [size =\"29819904\"]\n  25 -> 40 [size =\"29819904\"]\n  25 -> 45 [size =\"29819904\"]\n  26 [size=\"95111680\", alpha=\"0.20\", expect_size=\"38044672\"] \n  26 -> 28 [size =\"38044672\"]\n  26 -> 29 [size =\"38044672\"]\n  26 -> 36 [size =\"38044672\"]\n  26 -> 36 [size =\"38044672\"]\n  26 -> 37 [size =\"38044672\"]\n  26 -> 40 [size =\"38044672\"]\n  26 -> 42 [size =\"38044672\"]\n  26 -> 44 [size =\"38044672\"]\n  26 -> 45 [size =\"38044672\"]\n  27 [size=\"82647040\", alpha=\"0.20\", expect_size=\"33058816\"] \n  27 -> 28 [size =\"33058816\"]\n  27 -> 29 [size =\"33058816\"]\n  27 -> 33 [size =\"33058816\"]\n  27 -> 35 [size =\"33058816\"]\n  27 -> 36 [size =\"33058816\"]\n  27 -> 37 [size =\"33058816\"]\n  27 -> 43 [size =\"33058816\"]\n  27 -> 44 [size =\"33058816\"]\n  28 [size=\"42391040\", alpha=\"0.00\", expect_size=\"16956416\"] \n  28 -> 46 [size =\"16956416\"]\n  28 -> 49 [size =\"16956416\"]\n  28 -> 50 [size =\"16956416\"]\n  28 -> 50 [size =\"16956416\"]\n  29 [size=\"54597120\", alpha=\"0.01\", expect_size=\"21838848\"] \n  29 -> 46 [size =\"21838848\"]\n  29 -> 49 [size =\"21838848\"]\n  29 -> 50 [size =\"21838848\"]\n  30 [size=\"129128960\", alpha=\"0.05\", expect_size=\"51651584\"] \n  30 -> 46 [size =\"51651584\"]\n  30 -> 48 [size =\"51651584\"]\n  30 -> 50 [size =\"51651584\"]\n  31 [size=\"113720320\", alpha=\"0.03\", expect_size=\"45488128\"] \n  31 -> 46 [size =\"45488128\"]\n  31 -> 47 [size =\"45488128\"]\n  31 -> 50 [size =\"45488128\"]\n  32 [size=\"23792640\", alpha=\"0.07\", expect_size=\"9517056\"] \n  32 -> 46 [size =\"9517056\"]\n  32 -> 47 [size =\"9517056\"]\n  32 -> 50 [size =\"9517056\"]\n  33 [size=\"112025600\", alpha=\"0.07\", expect_size=\"44810240\"] \n  33 -> 46 [size =\"44810240\"]\n  33 -> 48 [size =\"44810240\"]\n  33 -> 50 [size =\"44810240\"]\n  34 [size=\"124902400\", alpha=\"0.14\", expect_size=\"49960960\"] \n  34 -> 50 [size =\"49960960\"]\n  35 [size=\"31088640\", alpha=\"0.20\", expect_size=\"12435456\"] \n  35 -> 48 [size =\"12435456\"]\n  36 [size=\"37493760\", alpha=\"0.15\", expect_size=\"14997504\"] \n  36 -> 50 [size =\"14997504\"]\n  37 [size=\"36756480\", alpha=\"0.06\", expect_size=\"14702592\"] \n  37 -> 48 [size =\"14702592\"]\n  38 [size=\"34931200\", alpha=\"0.14\", expect_size=\"13972480\"] \n  38 -> 47 [size =\"13972480\"]\n  38 -> 49 [size =\"13972480\"]\n  39 [size=\"35571200\", alpha=\"0.08\", expect_size=\"14228480\"] \n  39 -> 48 [size =\"14228480\"]\n  39 -> 50 [size =\"14228480\"]\n  40 [size=\"43302400\", alpha=\"0.11\", expect_size=\"17320960\"] \n  40 -> 49 [size =\"17320960\"]\n  41 [size=\"74104320\", alpha=\"0.01\", expect_size=\"29641728\"] \n  41 -> 49 [size =\"29641728\"]\n  41 -> 50 [size =\"29641728\"]\n  42 [size=\"90798080\", alpha=\"0.01\", expect_size=\"36319232\"] \n  42 -> 49 [size =\"36319232\"]\n  43 [size=\"13529600\", alpha=\"0.01\", expect_size=\"5411840\"] \n  43 -> 46 [size =\"5411840\"]\n  43 -> 47 [size =\"5411840\"]\n  43 -> 48 [size =\"5411840\"]\n  43 -> 49 [size =\"5411840\"]\n  43 -> 50 [size =\"5411840\"]\n  44 [size=\"57141760\", alpha=\"0.14\", expect_size=\"22856704\"] \n  44 -> 49 [size =\"22856704\"]\n  44 -> 50 [size =\"22856704\"]\n  45 [size=\"18944000\", alpha=\"0.17\", expect_size=\"7577600\"] \n  45 -> 46 [size =\"7577600\"]\n  45 -> 47 [size =\"7577600\"]\n  45 -> 49 [size =\"7577600\"]\n  45 -> 50 [size =\"7577600\"]\n  46 [size=\"18682880\", alpha=\"0.13\", expect_size=\"7473152\"] \n  47 [size=\"110100480\", alpha=\"0.02\", expect_size=\"44040192\"] \n  48 [size=\"30159360\", alpha=\"0.15\", expect_size=\"12063744\"] \n  49 [size=\"110858240\", alpha=\"0.16\", expect_size=\"44343296\"] \n  50 [size=\"41390080\", alpha=\"0.16\", expect_size=\"16556032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.249.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18377387\", alpha=\"0.07\", expect_size=\"5513216\"] \n  1 -> 17 [size =\"5513216\"]\n  1 -> 20 [size =\"5513216\"]\n  1 -> 23 [size =\"5513216\"]\n  1 -> 25 [size =\"5513216\"]\n  1 -> 28 [size =\"5513216\"]\n  2 [size=\"133884587\", alpha=\"0.14\", expect_size=\"40165376\"] \n  2 -> 18 [size =\"40165376\"]\n  2 -> 22 [size =\"40165376\"]\n  2 -> 24 [size =\"40165376\"]\n  2 -> 26 [size =\"40165376\"]\n  3 [size=\"77168640\", alpha=\"0.06\", expect_size=\"23150592\"] \n  3 -> 14 [size =\"23150592\"]\n  3 -> 27 [size =\"23150592\"]\n  4 [size=\"72420693\", alpha=\"0.03\", expect_size=\"21726208\"] \n  4 -> 16 [size =\"21726208\"]\n  4 -> 18 [size =\"21726208\"]\n  4 -> 19 [size =\"21726208\"]\n  4 -> 24 [size =\"21726208\"]\n  4 -> 25 [size =\"21726208\"]\n  5 [size=\"38051840\", alpha=\"0.17\", expect_size=\"11415552\"] \n  5 -> 14 [size =\"11415552\"]\n  5 -> 16 [size =\"11415552\"]\n  5 -> 24 [size =\"11415552\"]\n  5 -> 28 [size =\"11415552\"]\n  6 [size=\"85084160\", alpha=\"0.09\", expect_size=\"25525248\"] \n  6 -> 23 [size =\"25525248\"]\n  6 -> 24 [size =\"25525248\"]\n  6 -> 25 [size =\"25525248\"]\n  6 -> 27 [size =\"25525248\"]\n  7 [size=\"92409173\", alpha=\"0.01\", expect_size=\"27722752\"] \n  7 -> 23 [size =\"27722752\"]\n  7 -> 24 [size =\"27722752\"]\n  7 -> 27 [size =\"27722752\"]\n  8 [size=\"19380907\", alpha=\"0.19\", expect_size=\"5814272\"] \n  8 -> 14 [size =\"5814272\"]\n  8 -> 19 [size =\"5814272\"]\n  8 -> 21 [size =\"5814272\"]\n  8 -> 22 [size =\"5814272\"]\n  8 -> 23 [size =\"5814272\"]\n  8 -> 25 [size =\"5814272\"]\n  9 [size=\"57163093\", alpha=\"0.06\", expect_size=\"17148928\"] \n  9 -> 14 [size =\"17148928\"]\n  9 -> 15 [size =\"17148928\"]\n  9 -> 17 [size =\"17148928\"]\n  9 -> 19 [size =\"17148928\"]\n  9 -> 27 [size =\"17148928\"]\n  10 [size=\"107284480\", alpha=\"0.16\", expect_size=\"32185344\"] \n  10 -> 14 [size =\"32185344\"]\n  10 -> 16 [size =\"32185344\"]\n  10 -> 17 [size =\"32185344\"]\n  10 -> 19 [size =\"32185344\"]\n  10 -> 21 [size =\"32185344\"]\n  11 [size=\"138192213\", alpha=\"0.11\", expect_size=\"41457664\"] \n  11 -> 17 [size =\"41457664\"]\n  11 -> 19 [size =\"41457664\"]\n  11 -> 23 [size =\"41457664\"]\n  12 [size=\"38884693\", alpha=\"0.08\", expect_size=\"11665408\"] \n  12 -> 15 [size =\"11665408\"]\n  12 -> 16 [size =\"11665408\"]\n  12 -> 25 [size =\"11665408\"]\n  13 [size=\"145483093\", alpha=\"0.18\", expect_size=\"43644928\"] \n  13 -> 16 [size =\"43644928\"]\n  13 -> 19 [size =\"43644928\"]\n  13 -> 24 [size =\"43644928\"]\n  14 [size=\"31522133\", alpha=\"0.14\", expect_size=\"9456640\"] \n  14 -> 29 [size =\"9456640\"]\n  14 -> 30 [size =\"9456640\"]\n  14 -> 32 [size =\"9456640\"]\n  14 -> 37 [size =\"9456640\"]\n  14 -> 40 [size =\"9456640\"]\n  14 -> 43 [size =\"9456640\"]\n  15 [size=\"57896960\", alpha=\"0.10\", expect_size=\"17369088\"] \n  15 -> 32 [size =\"17369088\"]\n  15 -> 33 [size =\"17369088\"]\n  15 -> 34 [size =\"17369088\"]\n  15 -> 37 [size =\"17369088\"]\n  15 -> 40 [size =\"17369088\"]\n  15 -> 43 [size =\"17369088\"]\n  16 [size=\"33546240\", alpha=\"0.18\", expect_size=\"10063872\"] \n  16 -> 32 [size =\"10063872\"]\n  16 -> 35 [size =\"10063872\"]\n  16 -> 36 [size =\"10063872\"]\n  16 -> 37 [size =\"10063872\"]\n  16 -> 39 [size =\"10063872\"]\n  16 -> 40 [size =\"10063872\"]\n  16 -> 42 [size =\"10063872\"]\n  17 [size=\"103587840\", alpha=\"0.19\", expect_size=\"31076352\"] \n  17 -> 29 [size =\"31076352\"]\n  17 -> 32 [size =\"31076352\"]\n  17 -> 39 [size =\"31076352\"]\n  17 -> 40 [size =\"31076352\"]\n  17 -> 42 [size =\"31076352\"]\n  17 -> 43 [size =\"31076352\"]\n  18 [size=\"108332373\", alpha=\"0.16\", expect_size=\"32499712\"] \n  18 -> 29 [size =\"32499712\"]\n  18 -> 43 [size =\"32499712\"]\n  19 [size=\"104294400\", alpha=\"0.10\", expect_size=\"31288320\"] \n  19 -> 29 [size =\"31288320\"]\n  19 -> 31 [size =\"31288320\"]\n  19 -> 39 [size =\"31288320\"]\n  19 -> 40 [size =\"31288320\"]\n  20 [size=\"153726293\", alpha=\"0.15\", expect_size=\"46117888\"] \n  20 -> 37 [size =\"46117888\"]\n  20 -> 43 [size =\"46117888\"]\n  21 [size=\"125197653\", alpha=\"0.20\", expect_size=\"37559296\"] \n  21 -> 30 [size =\"37559296\"]\n  21 -> 39 [size =\"37559296\"]\n  22 [size=\"53510827\", alpha=\"0.19\", expect_size=\"16053248\"] \n  22 -> 29 [size =\"16053248\"]\n  22 -> 30 [size =\"16053248\"]\n  22 -> 37 [size =\"16053248\"]\n  23 [size=\"114285227\", alpha=\"0.06\", expect_size=\"34285568\"] \n  23 -> 29 [size =\"34285568\"]\n  23 -> 32 [size =\"34285568\"]\n  23 -> 37 [size =\"34285568\"]\n  23 -> 39 [size =\"34285568\"]\n  23 -> 40 [size =\"34285568\"]\n  24 [size=\"101304320\", alpha=\"0.00\", expect_size=\"30391296\"] \n  24 -> 32 [size =\"30391296\"]\n  24 -> 34 [size =\"30391296\"]\n  24 -> 35 [size =\"30391296\"]\n  24 -> 38 [size =\"30391296\"]\n  24 -> 39 [size =\"30391296\"]\n  24 -> 40 [size =\"30391296\"]\n  24 -> 41 [size =\"30391296\"]\n  24 -> 42 [size =\"30391296\"]\n  24 -> 43 [size =\"30391296\"]\n  25 [size=\"55002453\", alpha=\"0.17\", expect_size=\"16500736\"] \n  25 -> 30 [size =\"16500736\"]\n  25 -> 31 [size =\"16500736\"]\n  25 -> 33 [size =\"16500736\"]\n  25 -> 35 [size =\"16500736\"]\n  25 -> 38 [size =\"16500736\"]\n  25 -> 39 [size =\"16500736\"]\n  25 -> 40 [size =\"16500736\"]\n  25 -> 41 [size =\"16500736\"]\n  25 -> 43 [size =\"16500736\"]\n  26 [size=\"135546880\", alpha=\"0.02\", expect_size=\"40664064\"] \n  26 -> 29 [size =\"40664064\"]\n  26 -> 31 [size =\"40664064\"]\n  26 -> 37 [size =\"40664064\"]\n  26 -> 43 [size =\"40664064\"]\n  27 [size=\"119459840\", alpha=\"0.17\", expect_size=\"35837952\"] \n  27 -> 34 [size =\"35837952\"]\n  27 -> 37 [size =\"35837952\"]\n  27 -> 43 [size =\"35837952\"]\n  28 [size=\"108281173\", alpha=\"0.12\", expect_size=\"32484352\"] \n  28 -> 30 [size =\"32484352\"]\n  28 -> 32 [size =\"32484352\"]\n  28 -> 34 [size =\"32484352\"]\n  28 -> 36 [size =\"32484352\"]\n  28 -> 37 [size =\"32484352\"]\n  28 -> 38 [size =\"32484352\"]\n  28 -> 40 [size =\"32484352\"]\n  29 [size=\"80281600\", alpha=\"0.13\", expect_size=\"24084480\"] \n  29 -> 50 [size =\"24084480\"]\n  30 [size=\"160778240\", alpha=\"0.04\", expect_size=\"48233472\"] \n  30 -> 49 [size =\"48233472\"]\n  31 [size=\"120323413\", alpha=\"0.11\", expect_size=\"36097024\"] \n  31 -> 48 [size =\"36097024\"]\n  32 [size=\"117108053\", alpha=\"0.01\", expect_size=\"35132416\"] \n  32 -> 47 [size =\"35132416\"]\n  33 [size=\"110257493\", alpha=\"0.07\", expect_size=\"33077248\"] \n  34 [size=\"159460693\", alpha=\"0.14\", expect_size=\"47838208\"] \n  34 -> 45 [size =\"47838208\"]\n  35 [size=\"162379093\", alpha=\"0.07\", expect_size=\"48713728\"] \n  35 -> 46 [size =\"48713728\"]\n  36 [size=\"139584853\", alpha=\"0.02\", expect_size=\"41875456\"] \n  36 -> 47 [size =\"41875456\"]\n  37 [size=\"158692693\", alpha=\"0.08\", expect_size=\"47607808\"] \n  37 -> 46 [size =\"47607808\"]\n  37 -> 50 [size =\"47607808\"]\n  38 [size=\"137349120\", alpha=\"0.05\", expect_size=\"41204736\"] \n  38 -> 45 [size =\"41204736\"]\n  38 -> 46 [size =\"41204736\"]\n  38 -> 47 [size =\"41204736\"]\n  38 -> 48 [size =\"41204736\"]\n  39 [size=\"77455360\", alpha=\"0.14\", expect_size=\"23236608\"] \n  40 [size=\"18708480\", alpha=\"0.19\", expect_size=\"5612544\"] \n  40 -> 44 [size =\"5612544\"]\n  40 -> 50 [size =\"5612544\"]\n  41 [size=\"50916693\", alpha=\"0.19\", expect_size=\"15275008\"] \n  42 [size=\"137509547\", alpha=\"0.03\", expect_size=\"41252864\"] \n  42 -> 44 [size =\"41252864\"]\n  42 -> 46 [size =\"41252864\"]\n  43 [size=\"142612480\", alpha=\"0.19\", expect_size=\"42783744\"] \n  43 -> 45 [size =\"42783744\"]\n  43 -> 46 [size =\"42783744\"]\n  43 -> 47 [size =\"42783744\"]\n  44 [size=\"36952747\", alpha=\"0.06\", expect_size=\"11085824\"] \n  45 [size=\"149142187\", alpha=\"0.18\", expect_size=\"44742656\"] \n  46 [size=\"47752533\", alpha=\"0.05\", expect_size=\"14325760\"] \n  47 [size=\"63423147\", alpha=\"0.05\", expect_size=\"19026944\"] \n  48 [size=\"124982613\", alpha=\"0.16\", expect_size=\"37494784\"] \n  49 [size=\"166000640\", alpha=\"0.15\", expect_size=\"49800192\"] \n  50 [size=\"116015787\", alpha=\"0.13\", expect_size=\"34804736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51450880\", alpha=\"0.04\", expect_size=\"20580352\"] \n  1 -> 17 [size =\"20580352\"]\n  1 -> 20 [size =\"20580352\"]\n  1 -> 21 [size =\"20580352\"]\n  1 -> 24 [size =\"20580352\"]\n  1 -> 26 [size =\"20580352\"]\n  1 -> 29 [size =\"20580352\"]\n  2 [size=\"59092480\", alpha=\"0.18\", expect_size=\"23636992\"] \n  2 -> 16 [size =\"23636992\"]\n  2 -> 17 [size =\"23636992\"]\n  2 -> 19 [size =\"23636992\"]\n  2 -> 20 [size =\"23636992\"]\n  2 -> 21 [size =\"23636992\"]\n  2 -> 26 [size =\"23636992\"]\n  2 -> 29 [size =\"23636992\"]\n  3 [size=\"24972800\", alpha=\"0.08\", expect_size=\"9989120\"] \n  3 -> 15 [size =\"9989120\"]\n  3 -> 16 [size =\"9989120\"]\n  3 -> 17 [size =\"9989120\"]\n  3 -> 19 [size =\"9989120\"]\n  3 -> 20 [size =\"9989120\"]\n  3 -> 22 [size =\"9989120\"]\n  3 -> 24 [size =\"9989120\"]\n  3 -> 27 [size =\"9989120\"]\n  3 -> 29 [size =\"9989120\"]\n  4 [size=\"65728000\", alpha=\"0.08\", expect_size=\"26291200\"] \n  4 -> 15 [size =\"26291200\"]\n  4 -> 16 [size =\"26291200\"]\n  4 -> 17 [size =\"26291200\"]\n  4 -> 18 [size =\"26291200\"]\n  4 -> 19 [size =\"26291200\"]\n  4 -> 20 [size =\"26291200\"]\n  4 -> 22 [size =\"26291200\"]\n  4 -> 27 [size =\"26291200\"]\n  4 -> 29 [size =\"26291200\"]\n  5 [size=\"17569280\", alpha=\"0.20\", expect_size=\"7027712\"] \n  5 -> 16 [size =\"7027712\"]\n  5 -> 19 [size =\"7027712\"]\n  5 -> 20 [size =\"7027712\"]\n  5 -> 21 [size =\"7027712\"]\n  5 -> 22 [size =\"7027712\"]\n  5 -> 24 [size =\"7027712\"]\n  5 -> 26 [size =\"7027712\"]\n  5 -> 27 [size =\"7027712\"]\n  5 -> 28 [size =\"7027712\"]\n  5 -> 29 [size =\"7027712\"]\n  6 [size=\"103104000\", alpha=\"0.08\", expect_size=\"41241600\"] \n  6 -> 15 [size =\"41241600\"]\n  6 -> 18 [size =\"41241600\"]\n  6 -> 19 [size =\"41241600\"]\n  6 -> 20 [size =\"41241600\"]\n  6 -> 21 [size =\"41241600\"]\n  6 -> 22 [size =\"41241600\"]\n  6 -> 27 [size =\"41241600\"]\n  6 -> 28 [size =\"41241600\"]\n  6 -> 29 [size =\"41241600\"]\n  7 [size=\"46008320\", alpha=\"0.14\", expect_size=\"18403328\"] \n  7 -> 15 [size =\"18403328\"]\n  7 -> 18 [size =\"18403328\"]\n  7 -> 21 [size =\"18403328\"]\n  7 -> 22 [size =\"18403328\"]\n  7 -> 23 [size =\"18403328\"]\n  7 -> 27 [size =\"18403328\"]\n  7 -> 27 [size =\"18403328\"]\n  7 -> 28 [size =\"18403328\"]\n  8 [size=\"51970560\", alpha=\"0.00\", expect_size=\"20788224\"] \n  8 -> 15 [size =\"20788224\"]\n  8 -> 18 [size =\"20788224\"]\n  8 -> 19 [size =\"20788224\"]\n  8 -> 21 [size =\"20788224\"]\n  8 -> 22 [size =\"20788224\"]\n  8 -> 23 [size =\"20788224\"]\n  8 -> 28 [size =\"20788224\"]\n  8 -> 29 [size =\"20788224\"]\n  9 [size=\"117342720\", alpha=\"0.05\", expect_size=\"46937088\"] \n  9 -> 15 [size =\"46937088\"]\n  9 -> 18 [size =\"46937088\"]\n  9 -> 19 [size =\"46937088\"]\n  9 -> 20 [size =\"46937088\"]\n  9 -> 21 [size =\"46937088\"]\n  9 -> 22 [size =\"46937088\"]\n  9 -> 23 [size =\"46937088\"]\n  9 -> 27 [size =\"46937088\"]\n  9 -> 28 [size =\"46937088\"]\n  9 -> 29 [size =\"46937088\"]\n  10 [size=\"38640640\", alpha=\"0.10\", expect_size=\"15456256\"] \n  10 -> 18 [size =\"15456256\"]\n  10 -> 18 [size =\"15456256\"]\n  10 -> 19 [size =\"15456256\"]\n  10 -> 23 [size =\"15456256\"]\n  10 -> 28 [size =\"15456256\"]\n  11 [size=\"39777280\", alpha=\"0.18\", expect_size=\"15910912\"] \n  11 -> 15 [size =\"15910912\"]\n  11 -> 16 [size =\"15910912\"]\n  11 -> 18 [size =\"15910912\"]\n  11 -> 19 [size =\"15910912\"]\n  11 -> 23 [size =\"15910912\"]\n  11 -> 24 [size =\"15910912\"]\n  11 -> 26 [size =\"15910912\"]\n  12 [size=\"62105600\", alpha=\"0.03\", expect_size=\"24842240\"] \n  12 -> 16 [size =\"24842240\"]\n  12 -> 18 [size =\"24842240\"]\n  12 -> 19 [size =\"24842240\"]\n  12 -> 22 [size =\"24842240\"]\n  12 -> 23 [size =\"24842240\"]\n  12 -> 27 [size =\"24842240\"]\n  12 -> 29 [size =\"24842240\"]\n  13 [size=\"51151360\", alpha=\"0.10\", expect_size=\"20460544\"] \n  13 -> 17 [size =\"20460544\"]\n  13 -> 20 [size =\"20460544\"]\n  13 -> 22 [size =\"20460544\"]\n  13 -> 23 [size =\"20460544\"]\n  13 -> 23 [size =\"20460544\"]\n  13 -> 26 [size =\"20460544\"]\n  13 -> 27 [size =\"20460544\"]\n  14 [size=\"96256000\", alpha=\"0.01\", expect_size=\"38502400\"] \n  14 -> 17 [size =\"38502400\"]\n  14 -> 20 [size =\"38502400\"]\n  14 -> 21 [size =\"38502400\"]\n  14 -> 22 [size =\"38502400\"]\n  14 -> 23 [size =\"38502400\"]\n  14 -> 24 [size =\"38502400\"]\n  14 -> 25 [size =\"38502400\"]\n  14 -> 26 [size =\"38502400\"]\n  14 -> 29 [size =\"38502400\"]\n  15 [size=\"26370560\", alpha=\"0.18\", expect_size=\"10548224\"] \n  15 -> 32 [size =\"10548224\"]\n  15 -> 41 [size =\"10548224\"]\n  15 -> 43 [size =\"10548224\"]\n  16 [size=\"24350720\", alpha=\"0.11\", expect_size=\"9740288\"] \n  16 -> 31 [size =\"9740288\"]\n  16 -> 32 [size =\"9740288\"]\n  16 -> 34 [size =\"9740288\"]\n  16 -> 35 [size =\"9740288\"]\n  16 -> 38 [size =\"9740288\"]\n  16 -> 43 [size =\"9740288\"]\n  17 [size=\"69698560\", alpha=\"0.16\", expect_size=\"27879424\"] \n  17 -> 31 [size =\"27879424\"]\n  17 -> 32 [size =\"27879424\"]\n  17 -> 34 [size =\"27879424\"]\n  17 -> 37 [size =\"27879424\"]\n  17 -> 41 [size =\"27879424\"]\n  18 [size=\"32394240\", alpha=\"0.17\", expect_size=\"12957696\"] \n  18 -> 31 [size =\"12957696\"]\n  18 -> 33 [size =\"12957696\"]\n  18 -> 34 [size =\"12957696\"]\n  18 -> 37 [size =\"12957696\"]\n  18 -> 38 [size =\"12957696\"]\n  18 -> 42 [size =\"12957696\"]\n  19 [size=\"34920960\", alpha=\"0.14\", expect_size=\"13968384\"] \n  19 -> 32 [size =\"13968384\"]\n  19 -> 34 [size =\"13968384\"]\n  19 -> 35 [size =\"13968384\"]\n  19 -> 37 [size =\"13968384\"]\n  20 [size=\"66859520\", alpha=\"0.06\", expect_size=\"26743808\"] \n  20 -> 34 [size =\"26743808\"]\n  20 -> 41 [size =\"26743808\"]\n  20 -> 42 [size =\"26743808\"]\n  21 [size=\"123077120\", alpha=\"0.06\", expect_size=\"49230848\"] \n  21 -> 34 [size =\"49230848\"]\n  21 -> 35 [size =\"49230848\"]\n  21 -> 36 [size =\"49230848\"]\n  21 -> 37 [size =\"49230848\"]\n  21 -> 42 [size =\"49230848\"]\n  22 [size=\"109790720\", alpha=\"0.13\", expect_size=\"43916288\"] \n  22 -> 31 [size =\"43916288\"]\n  22 -> 32 [size =\"43916288\"]\n  22 -> 33 [size =\"43916288\"]\n  22 -> 35 [size =\"43916288\"]\n  22 -> 36 [size =\"43916288\"]\n  22 -> 37 [size =\"43916288\"]\n  22 -> 39 [size =\"43916288\"]\n  22 -> 41 [size =\"43916288\"]\n  23 [size=\"126615040\", alpha=\"0.02\", expect_size=\"50646016\"] \n  23 -> 31 [size =\"50646016\"]\n  23 -> 36 [size =\"50646016\"]\n  23 -> 39 [size =\"50646016\"]\n  23 -> 42 [size =\"50646016\"]\n  24 [size=\"66222080\", alpha=\"0.20\", expect_size=\"26488832\"] \n  24 -> 31 [size =\"26488832\"]\n  24 -> 33 [size =\"26488832\"]\n  24 -> 35 [size =\"26488832\"]\n  25 [size=\"73172480\", alpha=\"0.18\", expect_size=\"29268992\"] \n  25 -> 30 [size =\"29268992\"]\n  25 -> 31 [size =\"29268992\"]\n  25 -> 32 [size =\"29268992\"]\n  25 -> 33 [size =\"29268992\"]\n  25 -> 35 [size =\"29268992\"]\n  25 -> 37 [size =\"29268992\"]\n  26 [size=\"61450240\", alpha=\"0.12\", expect_size=\"24580096\"] \n  26 -> 31 [size =\"24580096\"]\n  26 -> 33 [size =\"24580096\"]\n  26 -> 37 [size =\"24580096\"]\n  26 -> 39 [size =\"24580096\"]\n  27 [size=\"127395840\", alpha=\"0.12\", expect_size=\"50958336\"] \n  27 -> 33 [size =\"50958336\"]\n  27 -> 34 [size =\"50958336\"]\n  27 -> 35 [size =\"50958336\"]\n  27 -> 37 [size =\"50958336\"]\n  27 -> 42 [size =\"50958336\"]\n  28 [size=\"106168320\", alpha=\"0.18\", expect_size=\"42467328\"] \n  28 -> 31 [size =\"42467328\"]\n  28 -> 34 [size =\"42467328\"]\n  28 -> 35 [size =\"42467328\"]\n  29 [size=\"91066880\", alpha=\"0.02\", expect_size=\"36426752\"] \n  29 -> 34 [size =\"36426752\"]\n  29 -> 34 [size =\"36426752\"]\n  29 -> 35 [size =\"36426752\"]\n  29 -> 40 [size =\"36426752\"]\n  29 -> 42 [size =\"36426752\"]\n  30 [size=\"53004800\", alpha=\"0.10\", expect_size=\"21201920\"] \n  30 -> 49 [size =\"21201920\"]\n  31 [size=\"90007040\", alpha=\"0.03\", expect_size=\"36002816\"] \n  31 -> 44 [size =\"36002816\"]\n  31 -> 47 [size =\"36002816\"]\n  31 -> 48 [size =\"36002816\"]\n  31 -> 50 [size =\"36002816\"]\n  32 [size=\"122460160\", alpha=\"0.04\", expect_size=\"48984064\"] \n  32 -> 45 [size =\"48984064\"]\n  32 -> 46 [size =\"48984064\"]\n  32 -> 47 [size =\"48984064\"]\n  32 -> 50 [size =\"48984064\"]\n  33 [size=\"78384640\", alpha=\"0.11\", expect_size=\"31353856\"] \n  33 -> 46 [size =\"31353856\"]\n  33 -> 47 [size =\"31353856\"]\n  33 -> 47 [size =\"31353856\"]\n  33 -> 50 [size =\"31353856\"]\n  34 [size=\"87610880\", alpha=\"0.12\", expect_size=\"35044352\"] \n  34 -> 47 [size =\"35044352\"]\n  34 -> 49 [size =\"35044352\"]\n  34 -> 50 [size =\"35044352\"]\n  35 [size=\"84797440\", alpha=\"0.16\", expect_size=\"33918976\"] \n  35 -> 47 [size =\"33918976\"]\n  35 -> 48 [size =\"33918976\"]\n  35 -> 50 [size =\"33918976\"]\n  36 [size=\"74403840\", alpha=\"0.02\", expect_size=\"29761536\"] \n  36 -> 47 [size =\"29761536\"]\n  36 -> 50 [size =\"29761536\"]\n  37 [size=\"28469760\", alpha=\"0.17\", expect_size=\"11387904\"] \n  37 -> 47 [size =\"11387904\"]\n  37 -> 49 [size =\"11387904\"]\n  38 [size=\"97858560\", alpha=\"0.16\", expect_size=\"39143424\"] \n  38 -> 44 [size =\"39143424\"]\n  38 -> 50 [size =\"39143424\"]\n  39 [size=\"85504000\", alpha=\"0.18\", expect_size=\"34201600\"] \n  40 [size=\"95646720\", alpha=\"0.09\", expect_size=\"38258688\"] \n  40 -> 44 [size =\"38258688\"]\n  40 -> 46 [size =\"38258688\"]\n  40 -> 48 [size =\"38258688\"]\n  40 -> 50 [size =\"38258688\"]\n  41 [size=\"35855360\", alpha=\"0.19\", expect_size=\"14342144\"] \n  42 [size=\"50764800\", alpha=\"0.06\", expect_size=\"20305920\"] \n  42 -> 44 [size =\"20305920\"]\n  42 -> 47 [size =\"20305920\"]\n  42 -> 50 [size =\"20305920\"]\n  43 [size=\"71413760\", alpha=\"0.11\", expect_size=\"28565504\"] \n  43 -> 49 [size =\"28565504\"]\n  43 -> 50 [size =\"28565504\"]\n  44 [size=\"17879040\", alpha=\"0.06\", expect_size=\"7151616\"] \n  45 [size=\"91274240\", alpha=\"0.11\", expect_size=\"36509696\"] \n  46 [size=\"68938240\", alpha=\"0.04\", expect_size=\"27575296\"] \n  47 [size=\"80079360\", alpha=\"0.16\", expect_size=\"32031744\"] \n  48 [size=\"63321600\", alpha=\"0.04\", expect_size=\"25328640\"] \n  49 [size=\"37954560\", alpha=\"0.06\", expect_size=\"15181824\"] \n  50 [size=\"25794560\", alpha=\"0.14\", expect_size=\"10317824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.250.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85643947\", alpha=\"0.02\", expect_size=\"25693184\"] \n  1 -> 2 [size =\"25693184\"]\n  2 [size=\"65580373\", alpha=\"0.12\", expect_size=\"19674112\"] \n  2 -> 3 [size =\"19674112\"]\n  3 [size=\"59139413\", alpha=\"0.09\", expect_size=\"17741824\"] \n  3 -> 4 [size =\"17741824\"]\n  4 [size=\"47045973\", alpha=\"0.09\", expect_size=\"14113792\"] \n  4 -> 5 [size =\"14113792\"]\n  5 [size=\"39997440\", alpha=\"0.02\", expect_size=\"11999232\"] \n  5 -> 6 [size =\"11999232\"]\n  6 [size=\"85261653\", alpha=\"0.07\", expect_size=\"25578496\"] \n  6 -> 7 [size =\"25578496\"]\n  7 [size=\"143977813\", alpha=\"0.12\", expect_size=\"43193344\"] \n  7 -> 8 [size =\"43193344\"]\n  8 [size=\"20353707\", alpha=\"0.04\", expect_size=\"6106112\"] \n  8 -> 9 [size =\"6106112\"]\n  9 [size=\"65061547\", alpha=\"0.11\", expect_size=\"19518464\"] \n  9 -> 10 [size =\"19518464\"]\n  10 [size=\"43291307\", alpha=\"0.04\", expect_size=\"12987392\"] \n  10 -> 11 [size =\"12987392\"]\n  11 [size=\"56111787\", alpha=\"0.08\", expect_size=\"16833536\"] \n  11 -> 12 [size =\"16833536\"]\n  12 [size=\"75154773\", alpha=\"0.06\", expect_size=\"22546432\"] \n  12 -> 13 [size =\"22546432\"]\n  13 [size=\"168454827\", alpha=\"0.01\", expect_size=\"50536448\"] \n  13 -> 14 [size =\"50536448\"]\n  14 [size=\"80011947\", alpha=\"0.02\", expect_size=\"24003584\"] \n  14 -> 15 [size =\"24003584\"]\n  15 [size=\"152183467\", alpha=\"0.06\", expect_size=\"45655040\"] \n  15 -> 16 [size =\"45655040\"]\n  16 [size=\"165478400\", alpha=\"0.11\", expect_size=\"49643520\"] \n  16 -> 17 [size =\"49643520\"]\n  17 [size=\"66621440\", alpha=\"0.12\", expect_size=\"19986432\"] \n  17 -> 18 [size =\"19986432\"]\n  18 [size=\"161706667\", alpha=\"0.09\", expect_size=\"48512000\"] \n  18 -> 19 [size =\"48512000\"]\n  19 [size=\"33413120\", alpha=\"0.10\", expect_size=\"10023936\"] \n  19 -> 20 [size =\"10023936\"]\n  20 [size=\"116148907\", alpha=\"0.05\", expect_size=\"34844672\"] \n  20 -> 21 [size =\"34844672\"]\n  21 [size=\"146326187\", alpha=\"0.08\", expect_size=\"43897856\"] \n  21 -> 22 [size =\"43897856\"]\n  22 [size=\"48087040\", alpha=\"0.18\", expect_size=\"14426112\"] \n  22 -> 23 [size =\"14426112\"]\n  23 [size=\"98095787\", alpha=\"0.12\", expect_size=\"29428736\"] \n  23 -> 24 [size =\"29428736\"]\n  24 [size=\"106963627\", alpha=\"0.11\", expect_size=\"32089088\"] \n  24 -> 25 [size =\"32089088\"]\n  25 [size=\"121600000\", alpha=\"0.12\", expect_size=\"36480000\"] \n  25 -> 26 [size =\"36480000\"]\n  26 [size=\"167604907\", alpha=\"0.02\", expect_size=\"50281472\"] \n  26 -> 27 [size =\"50281472\"]\n  27 [size=\"92897280\", alpha=\"0.08\", expect_size=\"27869184\"] \n  27 -> 28 [size =\"27869184\"]\n  28 [size=\"32631467\", alpha=\"0.15\", expect_size=\"9789440\"] \n  28 -> 29 [size =\"9789440\"]\n  29 [size=\"105263787\", alpha=\"0.07\", expect_size=\"31579136\"] \n  29 -> 30 [size =\"31579136\"]\n  30 [size=\"27733333\", alpha=\"0.03\", expect_size=\"8320000\"] \n  30 -> 31 [size =\"8320000\"]\n  31 [size=\"65515520\", alpha=\"0.04\", expect_size=\"19654656\"] \n  31 -> 32 [size =\"19654656\"]\n  32 [size=\"129491627\", alpha=\"0.12\", expect_size=\"38847488\"] \n  32 -> 33 [size =\"38847488\"]\n  33 [size=\"110479360\", alpha=\"0.19\", expect_size=\"33143808\"] \n  33 -> 34 [size =\"33143808\"]\n  34 [size=\"50141867\", alpha=\"0.14\", expect_size=\"15042560\"] \n  34 -> 35 [size =\"15042560\"]\n  35 [size=\"135342080\", alpha=\"0.06\", expect_size=\"40602624\"] \n  35 -> 36 [size =\"40602624\"]\n  36 [size=\"74028373\", alpha=\"0.18\", expect_size=\"22208512\"] \n  36 -> 37 [size =\"22208512\"]\n  37 [size=\"91272533\", alpha=\"0.15\", expect_size=\"27381760\"] \n  37 -> 38 [size =\"27381760\"]\n  38 [size=\"156299947\", alpha=\"0.11\", expect_size=\"46889984\"] \n  38 -> 39 [size =\"46889984\"]\n  39 [size=\"114694827\", alpha=\"0.08\", expect_size=\"34408448\"] \n  39 -> 40 [size =\"34408448\"]\n  40 [size=\"171342507\", alpha=\"0.19\", expect_size=\"51402752\"] \n  40 -> 41 [size =\"51402752\"]\n  41 [size=\"37478400\", alpha=\"0.05\", expect_size=\"11243520\"] \n  41 -> 42 [size =\"11243520\"]\n  42 [size=\"66314240\", alpha=\"0.16\", expect_size=\"19894272\"] \n  42 -> 43 [size =\"19894272\"]\n  43 [size=\"158245547\", alpha=\"0.17\", expect_size=\"47473664\"] \n  43 -> 44 [size =\"47473664\"]\n  44 [size=\"149681493\", alpha=\"0.09\", expect_size=\"44904448\"] \n  44 -> 45 [size =\"44904448\"]\n  45 [size=\"103154347\", alpha=\"0.14\", expect_size=\"30946304\"] \n  45 -> 46 [size =\"30946304\"]\n  46 [size=\"153374720\", alpha=\"0.19\", expect_size=\"46012416\"] \n  46 -> 47 [size =\"46012416\"]\n  47 [size=\"133775360\", alpha=\"0.13\", expect_size=\"40132608\"] \n  47 -> 48 [size =\"40132608\"]\n  48 [size=\"93504853\", alpha=\"0.09\", expect_size=\"28051456\"] \n  48 -> 49 [size =\"28051456\"]\n  49 [size=\"19507200\", alpha=\"0.16\", expect_size=\"5852160\"] \n  49 -> 50 [size =\"5852160\"]\n  50 [size=\"85009067\", alpha=\"0.05\", expect_size=\"25502720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.251.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79841280\", alpha=\"0.06\", expect_size=\"39920640\"] \n  1 -> 15 [size =\"39920640\"]\n  1 -> 16 [size =\"39920640\"]\n  1 -> 17 [size =\"39920640\"]\n  1 -> 20 [size =\"39920640\"]\n  1 -> 21 [size =\"39920640\"]\n  1 -> 24 [size =\"39920640\"]\n  2 [size=\"96567296\", alpha=\"0.00\", expect_size=\"48283648\"] \n  2 -> 16 [size =\"48283648\"]\n  2 -> 16 [size =\"48283648\"]\n  2 -> 17 [size =\"48283648\"]\n  2 -> 18 [size =\"48283648\"]\n  2 -> 20 [size =\"48283648\"]\n  2 -> 23 [size =\"48283648\"]\n  2 -> 25 [size =\"48283648\"]\n  2 -> 28 [size =\"48283648\"]\n  3 [size=\"48998400\", alpha=\"0.07\", expect_size=\"24499200\"] \n  3 -> 16 [size =\"24499200\"]\n  3 -> 17 [size =\"24499200\"]\n  3 -> 17 [size =\"24499200\"]\n  3 -> 18 [size =\"24499200\"]\n  3 -> 20 [size =\"24499200\"]\n  3 -> 21 [size =\"24499200\"]\n  3 -> 24 [size =\"24499200\"]\n  3 -> 26 [size =\"24499200\"]\n  3 -> 28 [size =\"24499200\"]\n  4 [size=\"61980672\", alpha=\"0.20\", expect_size=\"30990336\"] \n  4 -> 17 [size =\"30990336\"]\n  4 -> 19 [size =\"30990336\"]\n  4 -> 20 [size =\"30990336\"]\n  4 -> 21 [size =\"30990336\"]\n  5 [size=\"43024384\", alpha=\"0.02\", expect_size=\"21512192\"] \n  5 -> 15 [size =\"21512192\"]\n  5 -> 18 [size =\"21512192\"]\n  5 -> 24 [size =\"21512192\"]\n  6 [size=\"63596544\", alpha=\"0.13\", expect_size=\"31798272\"] \n  6 -> 15 [size =\"31798272\"]\n  6 -> 16 [size =\"31798272\"]\n  6 -> 17 [size =\"31798272\"]\n  6 -> 21 [size =\"31798272\"]\n  6 -> 23 [size =\"31798272\"]\n  6 -> 24 [size =\"31798272\"]\n  6 -> 25 [size =\"31798272\"]\n  6 -> 26 [size =\"31798272\"]\n  7 [size=\"36048896\", alpha=\"0.09\", expect_size=\"18024448\"] \n  7 -> 15 [size =\"18024448\"]\n  7 -> 20 [size =\"18024448\"]\n  7 -> 24 [size =\"18024448\"]\n  7 -> 25 [size =\"18024448\"]\n  7 -> 27 [size =\"18024448\"]\n  7 -> 28 [size =\"18024448\"]\n  8 [size=\"96339968\", alpha=\"0.15\", expect_size=\"48169984\"] \n  8 -> 15 [size =\"48169984\"]\n  8 -> 16 [size =\"48169984\"]\n  8 -> 18 [size =\"48169984\"]\n  8 -> 19 [size =\"48169984\"]\n  8 -> 20 [size =\"48169984\"]\n  8 -> 24 [size =\"48169984\"]\n  9 [size=\"19867648\", alpha=\"0.05\", expect_size=\"9933824\"] \n  9 -> 15 [size =\"9933824\"]\n  9 -> 18 [size =\"9933824\"]\n  9 -> 24 [size =\"9933824\"]\n  10 [size=\"43264000\", alpha=\"0.19\", expect_size=\"21632000\"] \n  10 -> 18 [size =\"21632000\"]\n  10 -> 19 [size =\"21632000\"]\n  11 [size=\"40599552\", alpha=\"0.11\", expect_size=\"20299776\"] \n  11 -> 15 [size =\"20299776\"]\n  11 -> 16 [size =\"20299776\"]\n  11 -> 18 [size =\"20299776\"]\n  11 -> 19 [size =\"20299776\"]\n  11 -> 21 [size =\"20299776\"]\n  11 -> 22 [size =\"20299776\"]\n  11 -> 27 [size =\"20299776\"]\n  12 [size=\"69513216\", alpha=\"0.02\", expect_size=\"34756608\"] \n  12 -> 16 [size =\"34756608\"]\n  12 -> 18 [size =\"34756608\"]\n  12 -> 19 [size =\"34756608\"]\n  12 -> 20 [size =\"34756608\"]\n  12 -> 25 [size =\"34756608\"]\n  12 -> 27 [size =\"34756608\"]\n  13 [size=\"70334464\", alpha=\"0.15\", expect_size=\"35167232\"] \n  13 -> 15 [size =\"35167232\"]\n  13 -> 16 [size =\"35167232\"]\n  13 -> 18 [size =\"35167232\"]\n  13 -> 19 [size =\"35167232\"]\n  13 -> 20 [size =\"35167232\"]\n  13 -> 25 [size =\"35167232\"]\n  14 [size=\"10995712\", alpha=\"0.10\", expect_size=\"5497856\"] \n  14 -> 15 [size =\"5497856\"]\n  14 -> 16 [size =\"5497856\"]\n  14 -> 17 [size =\"5497856\"]\n  14 -> 19 [size =\"5497856\"]\n  14 -> 20 [size =\"5497856\"]\n  14 -> 21 [size =\"5497856\"]\n  14 -> 25 [size =\"5497856\"]\n  14 -> 27 [size =\"5497856\"]\n  14 -> 28 [size =\"5497856\"]\n  15 [size=\"10487808\", alpha=\"0.07\", expect_size=\"5243904\"] \n  15 -> 31 [size =\"5243904\"]\n  15 -> 33 [size =\"5243904\"]\n  16 [size=\"20299776\", alpha=\"0.10\", expect_size=\"10149888\"] \n  16 -> 29 [size =\"10149888\"]\n  16 -> 32 [size =\"10149888\"]\n  16 -> 33 [size =\"10149888\"]\n  16 -> 40 [size =\"10149888\"]\n  16 -> 41 [size =\"10149888\"]\n  16 -> 42 [size =\"10149888\"]\n  17 [size=\"81174528\", alpha=\"0.10\", expect_size=\"40587264\"] \n  17 -> 31 [size =\"40587264\"]\n  17 -> 39 [size =\"40587264\"]\n  17 -> 40 [size =\"40587264\"]\n  17 -> 41 [size =\"40587264\"]\n  17 -> 41 [size =\"40587264\"]\n  18 [size=\"27146240\", alpha=\"0.14\", expect_size=\"13573120\"] \n  18 -> 33 [size =\"13573120\"]\n  18 -> 38 [size =\"13573120\"]\n  18 -> 40 [size =\"13573120\"]\n  18 -> 41 [size =\"13573120\"]\n  18 -> 42 [size =\"13573120\"]\n  19 [size=\"96083968\", alpha=\"0.02\", expect_size=\"48041984\"] \n  19 -> 31 [size =\"48041984\"]\n  19 -> 40 [size =\"48041984\"]\n  19 -> 41 [size =\"48041984\"]\n  19 -> 41 [size =\"48041984\"]\n  20 [size=\"24991744\", alpha=\"0.14\", expect_size=\"12495872\"] \n  20 -> 30 [size =\"12495872\"]\n  20 -> 35 [size =\"12495872\"]\n  20 -> 39 [size =\"12495872\"]\n  20 -> 40 [size =\"12495872\"]\n  20 -> 41 [size =\"12495872\"]\n  21 [size=\"20686848\", alpha=\"0.01\", expect_size=\"10343424\"] \n  21 -> 30 [size =\"10343424\"]\n  21 -> 31 [size =\"10343424\"]\n  21 -> 34 [size =\"10343424\"]\n  21 -> 43 [size =\"10343424\"]\n  22 [size=\"73023488\", alpha=\"0.06\", expect_size=\"36511744\"] \n  22 -> 29 [size =\"36511744\"]\n  22 -> 30 [size =\"36511744\"]\n  22 -> 31 [size =\"36511744\"]\n  22 -> 34 [size =\"36511744\"]\n  22 -> 40 [size =\"36511744\"]\n  23 [size=\"83236864\", alpha=\"0.19\", expect_size=\"41618432\"] \n  23 -> 31 [size =\"41618432\"]\n  23 -> 34 [size =\"41618432\"]\n  23 -> 35 [size =\"41618432\"]\n  23 -> 36 [size =\"41618432\"]\n  23 -> 38 [size =\"41618432\"]\n  23 -> 39 [size =\"41618432\"]\n  23 -> 41 [size =\"41618432\"]\n  24 [size=\"61945856\", alpha=\"0.03\", expect_size=\"30972928\"] \n  24 -> 33 [size =\"30972928\"]\n  24 -> 34 [size =\"30972928\"]\n  24 -> 35 [size =\"30972928\"]\n  24 -> 37 [size =\"30972928\"]\n  24 -> 38 [size =\"30972928\"]\n  24 -> 39 [size =\"30972928\"]\n  24 -> 40 [size =\"30972928\"]\n  25 [size=\"16087040\", alpha=\"0.14\", expect_size=\"8043520\"] \n  25 -> 31 [size =\"8043520\"]\n  25 -> 32 [size =\"8043520\"]\n  25 -> 34 [size =\"8043520\"]\n  25 -> 39 [size =\"8043520\"]\n  25 -> 42 [size =\"8043520\"]\n  26 [size=\"50055168\", alpha=\"0.16\", expect_size=\"25027584\"] \n  26 -> 29 [size =\"25027584\"]\n  26 -> 32 [size =\"25027584\"]\n  26 -> 34 [size =\"25027584\"]\n  26 -> 35 [size =\"25027584\"]\n  26 -> 39 [size =\"25027584\"]\n  26 -> 41 [size =\"25027584\"]\n  27 [size=\"98568192\", alpha=\"0.04\", expect_size=\"49284096\"] \n  27 -> 32 [size =\"49284096\"]\n  27 -> 32 [size =\"49284096\"]\n  27 -> 38 [size =\"49284096\"]\n  27 -> 39 [size =\"49284096\"]\n  27 -> 40 [size =\"49284096\"]\n  27 -> 41 [size =\"49284096\"]\n  28 [size=\"51851264\", alpha=\"0.09\", expect_size=\"25925632\"] \n  28 -> 32 [size =\"25925632\"]\n  28 -> 34 [size =\"25925632\"]\n  28 -> 39 [size =\"25925632\"]\n  28 -> 42 [size =\"25925632\"]\n  29 [size=\"24285184\", alpha=\"0.17\", expect_size=\"12142592\"] \n  29 -> 45 [size =\"12142592\"]\n  29 -> 46 [size =\"12142592\"]\n  29 -> 49 [size =\"12142592\"]\n  29 -> 50 [size =\"12142592\"]\n  30 [size=\"35489792\", alpha=\"0.12\", expect_size=\"17744896\"] \n  30 -> 48 [size =\"17744896\"]\n  30 -> 49 [size =\"17744896\"]\n  30 -> 49 [size =\"17744896\"]\n  30 -> 50 [size =\"17744896\"]\n  31 [size=\"103161856\", alpha=\"0.13\", expect_size=\"51580928\"] \n  31 -> 44 [size =\"51580928\"]\n  31 -> 50 [size =\"51580928\"]\n  32 [size=\"13545472\", alpha=\"0.06\", expect_size=\"6772736\"] \n  32 -> 45 [size =\"6772736\"]\n  32 -> 46 [size =\"6772736\"]\n  33 [size=\"41461760\", alpha=\"0.13\", expect_size=\"20730880\"] \n  33 -> 45 [size =\"20730880\"]\n  33 -> 46 [size =\"20730880\"]\n  33 -> 47 [size =\"20730880\"]\n  34 [size=\"36685824\", alpha=\"0.19\", expect_size=\"18342912\"] \n  34 -> 48 [size =\"18342912\"]\n  35 [size=\"50710528\", alpha=\"0.05\", expect_size=\"25355264\"] \n  35 -> 44 [size =\"25355264\"]\n  36 [size=\"21704704\", alpha=\"0.14\", expect_size=\"10852352\"] \n  36 -> 45 [size =\"10852352\"]\n  36 -> 46 [size =\"10852352\"]\n  36 -> 48 [size =\"10852352\"]\n  36 -> 49 [size =\"10852352\"]\n  37 [size=\"97148928\", alpha=\"0.17\", expect_size=\"48574464\"] \n  37 -> 44 [size =\"48574464\"]\n  37 -> 47 [size =\"48574464\"]\n  37 -> 48 [size =\"48574464\"]\n  38 [size=\"19494912\", alpha=\"0.04\", expect_size=\"9747456\"] \n  38 -> 44 [size =\"9747456\"]\n  38 -> 48 [size =\"9747456\"]\n  38 -> 49 [size =\"9747456\"]\n  39 [size=\"63338496\", alpha=\"0.09\", expect_size=\"31669248\"] \n  39 -> 46 [size =\"31669248\"]\n  39 -> 48 [size =\"31669248\"]\n  39 -> 49 [size =\"31669248\"]\n  40 [size=\"49321984\", alpha=\"0.17\", expect_size=\"24660992\"] \n  40 -> 46 [size =\"24660992\"]\n  40 -> 49 [size =\"24660992\"]\n  41 [size=\"104595456\", alpha=\"0.08\", expect_size=\"52297728\"] \n  41 -> 47 [size =\"52297728\"]\n  42 [size=\"70531072\", alpha=\"0.11\", expect_size=\"35265536\"] \n  42 -> 44 [size =\"35265536\"]\n  42 -> 47 [size =\"35265536\"]\n  42 -> 48 [size =\"35265536\"]\n  43 [size=\"100528128\", alpha=\"0.10\", expect_size=\"50264064\"] \n  43 -> 44 [size =\"50264064\"]\n  43 -> 49 [size =\"50264064\"]\n  44 [size=\"65695744\", alpha=\"0.00\", expect_size=\"32847872\"] \n  45 [size=\"60915712\", alpha=\"0.11\", expect_size=\"30457856\"] \n  46 [size=\"86190080\", alpha=\"0.11\", expect_size=\"43095040\"] \n  47 [size=\"56965120\", alpha=\"0.09\", expect_size=\"28482560\"] \n  48 [size=\"43927552\", alpha=\"0.16\", expect_size=\"21963776\"] \n  49 [size=\"63741952\", alpha=\"0.06\", expect_size=\"31870976\"] \n  50 [size=\"13260800\", alpha=\"0.01\", expect_size=\"6630400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.252.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46467072\", alpha=\"0.19\", expect_size=\"23233536\"] \n  1 -> 2 [size =\"23233536\"]\n  2 [size=\"16701440\", alpha=\"0.07\", expect_size=\"8350720\"] \n  2 -> 3 [size =\"8350720\"]\n  3 [size=\"99524608\", alpha=\"0.09\", expect_size=\"49762304\"] \n  3 -> 4 [size =\"49762304\"]\n  4 [size=\"80183296\", alpha=\"0.19\", expect_size=\"40091648\"] \n  4 -> 5 [size =\"40091648\"]\n  5 [size=\"57655296\", alpha=\"0.15\", expect_size=\"28827648\"] \n  5 -> 6 [size =\"28827648\"]\n  6 [size=\"93057024\", alpha=\"0.12\", expect_size=\"46528512\"] \n  6 -> 7 [size =\"46528512\"]\n  7 [size=\"36978688\", alpha=\"0.13\", expect_size=\"18489344\"] \n  7 -> 8 [size =\"18489344\"]\n  8 [size=\"92338176\", alpha=\"0.03\", expect_size=\"46169088\"] \n  8 -> 9 [size =\"46169088\"]\n  9 [size=\"22867968\", alpha=\"0.18\", expect_size=\"11433984\"] \n  9 -> 10 [size =\"11433984\"]\n  10 [size=\"87240704\", alpha=\"0.11\", expect_size=\"43620352\"] \n  10 -> 11 [size =\"43620352\"]\n  11 [size=\"56854528\", alpha=\"0.10\", expect_size=\"28427264\"] \n  11 -> 12 [size =\"28427264\"]\n  12 [size=\"51052544\", alpha=\"0.04\", expect_size=\"25526272\"] \n  12 -> 13 [size =\"25526272\"]\n  13 [size=\"82575360\", alpha=\"0.10\", expect_size=\"41287680\"] \n  13 -> 14 [size =\"41287680\"]\n  14 [size=\"32241664\", alpha=\"0.08\", expect_size=\"16120832\"] \n  14 -> 15 [size =\"16120832\"]\n  15 [size=\"28401664\", alpha=\"0.07\", expect_size=\"14200832\"] \n  15 -> 16 [size =\"14200832\"]\n  16 [size=\"100913152\", alpha=\"0.10\", expect_size=\"50456576\"] \n  16 -> 17 [size =\"50456576\"]\n  17 [size=\"65380352\", alpha=\"0.07\", expect_size=\"32690176\"] \n  17 -> 18 [size =\"32690176\"]\n  18 [size=\"32198656\", alpha=\"0.06\", expect_size=\"16099328\"] \n  18 -> 19 [size =\"16099328\"]\n  19 [size=\"48203776\", alpha=\"0.00\", expect_size=\"24101888\"] \n  19 -> 20 [size =\"24101888\"]\n  20 [size=\"40783872\", alpha=\"0.04\", expect_size=\"20391936\"] \n  20 -> 21 [size =\"20391936\"]\n  21 [size=\"93325312\", alpha=\"0.16\", expect_size=\"46662656\"] \n  21 -> 22 [size =\"46662656\"]\n  22 [size=\"46331904\", alpha=\"0.09\", expect_size=\"23165952\"] \n  22 -> 23 [size =\"23165952\"]\n  23 [size=\"64610304\", alpha=\"0.01\", expect_size=\"32305152\"] \n  23 -> 24 [size =\"32305152\"]\n  24 [size=\"19640320\", alpha=\"0.08\", expect_size=\"9820160\"] \n  24 -> 25 [size =\"9820160\"]\n  25 [size=\"58355712\", alpha=\"0.05\", expect_size=\"29177856\"] \n  25 -> 26 [size =\"29177856\"]\n  26 [size=\"93360128\", alpha=\"0.19\", expect_size=\"46680064\"] \n  26 -> 27 [size =\"46680064\"]\n  27 [size=\"47323136\", alpha=\"0.19\", expect_size=\"23661568\"] \n  27 -> 28 [size =\"23661568\"]\n  28 [size=\"79452160\", alpha=\"0.16\", expect_size=\"39726080\"] \n  28 -> 29 [size =\"39726080\"]\n  29 [size=\"12218368\", alpha=\"0.16\", expect_size=\"6109184\"] \n  29 -> 30 [size =\"6109184\"]\n  30 [size=\"12992512\", alpha=\"0.12\", expect_size=\"6496256\"] \n  30 -> 31 [size =\"6496256\"]\n  31 [size=\"33429504\", alpha=\"0.18\", expect_size=\"16714752\"] \n  31 -> 32 [size =\"16714752\"]\n  32 [size=\"15140864\", alpha=\"0.12\", expect_size=\"7570432\"] \n  32 -> 33 [size =\"7570432\"]\n  33 [size=\"58714112\", alpha=\"0.02\", expect_size=\"29357056\"] \n  33 -> 34 [size =\"29357056\"]\n  34 [size=\"64446464\", alpha=\"0.17\", expect_size=\"32223232\"] \n  34 -> 35 [size =\"32223232\"]\n  35 [size=\"102035456\", alpha=\"0.15\", expect_size=\"51017728\"] \n  35 -> 36 [size =\"51017728\"]\n  36 [size=\"29911040\", alpha=\"0.12\", expect_size=\"14955520\"] \n  36 -> 37 [size =\"14955520\"]\n  37 [size=\"25014272\", alpha=\"0.01\", expect_size=\"12507136\"] \n  37 -> 38 [size =\"12507136\"]\n  38 [size=\"19468288\", alpha=\"0.15\", expect_size=\"9734144\"] \n  38 -> 39 [size =\"9734144\"]\n  39 [size=\"95125504\", alpha=\"0.16\", expect_size=\"47562752\"] \n  39 -> 40 [size =\"47562752\"]\n  40 [size=\"75626496\", alpha=\"0.04\", expect_size=\"37813248\"] \n  40 -> 41 [size =\"37813248\"]\n  41 [size=\"37726208\", alpha=\"0.10\", expect_size=\"18863104\"] \n  41 -> 42 [size =\"18863104\"]\n  42 [size=\"27793408\", alpha=\"0.03\", expect_size=\"13896704\"] \n  42 -> 43 [size =\"13896704\"]\n  43 [size=\"86398976\", alpha=\"0.08\", expect_size=\"43199488\"] \n  43 -> 44 [size =\"43199488\"]\n  44 [size=\"96886784\", alpha=\"0.14\", expect_size=\"48443392\"] \n  44 -> 45 [size =\"48443392\"]\n  45 [size=\"81014784\", alpha=\"0.11\", expect_size=\"40507392\"] \n  45 -> 46 [size =\"40507392\"]\n  46 [size=\"56698880\", alpha=\"0.06\", expect_size=\"28349440\"] \n  46 -> 47 [size =\"28349440\"]\n  47 [size=\"19998720\", alpha=\"0.08\", expect_size=\"9999360\"] \n  47 -> 48 [size =\"9999360\"]\n  48 [size=\"25806848\", alpha=\"0.04\", expect_size=\"12903424\"] \n  48 -> 49 [size =\"12903424\"]\n  49 [size=\"95836160\", alpha=\"0.01\", expect_size=\"47918080\"] \n  49 -> 50 [size =\"47918080\"]\n  50 [size=\"79063040\", alpha=\"0.19\", expect_size=\"39531520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.253.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93585408\", alpha=\"0.20\", expect_size=\"46792704\"] \n  2 [size=\"92463104\", alpha=\"0.11\", expect_size=\"46231552\"] \n  2 -> 3 [size =\"46231552\"]\n  2 -> 4 [size =\"46231552\"]\n  3 [size=\"14286848\", alpha=\"0.14\", expect_size=\"7143424\"] \n  3 -> 5 [size =\"7143424\"]\n  4 [size=\"33552384\", alpha=\"0.01\", expect_size=\"16776192\"] \n  4 -> 6 [size =\"16776192\"]\n  5 [size=\"73684992\", alpha=\"0.10\", expect_size=\"36842496\"] \n  5 -> 7 [size =\"36842496\"]\n  5 -> 8 [size =\"36842496\"]\n  6 [size=\"25720832\", alpha=\"0.12\", expect_size=\"12860416\"] \n  6 -> 9 [size =\"12860416\"]\n  7 [size=\"99848192\", alpha=\"0.11\", expect_size=\"49924096\"] \n  8 [size=\"36190208\", alpha=\"0.07\", expect_size=\"18095104\"] \n  8 -> 10 [size =\"18095104\"]\n  8 -> 11 [size =\"18095104\"]\n  9 [size=\"104132608\", alpha=\"0.08\", expect_size=\"52066304\"] \n  10 [size=\"49328128\", alpha=\"0.03\", expect_size=\"24664064\"] \n  10 -> 12 [size =\"24664064\"]\n  11 [size=\"45813760\", alpha=\"0.05\", expect_size=\"22906880\"] \n  11 -> 13 [size =\"22906880\"]\n  12 [size=\"45621248\", alpha=\"0.02\", expect_size=\"22810624\"] \n  13 [size=\"99260416\", alpha=\"0.02\", expect_size=\"49630208\"] \n  13 -> 14 [size =\"49630208\"]\n  13 -> 15 [size =\"49630208\"]\n  14 [size=\"70668288\", alpha=\"0.05\", expect_size=\"35334144\"] \n  14 -> 16 [size =\"35334144\"]\n  15 [size=\"74633216\", alpha=\"0.04\", expect_size=\"37316608\"] \n  15 -> 17 [size =\"37316608\"]\n  16 [size=\"29243392\", alpha=\"0.08\", expect_size=\"14621696\"] \n  16 -> 19 [size =\"14621696\"]\n  16 -> 20 [size =\"14621696\"]\n  17 [size=\"87590912\", alpha=\"0.09\", expect_size=\"43795456\"] \n  17 -> 18 [size =\"43795456\"]\n  18 [size=\"47235072\", alpha=\"0.19\", expect_size=\"23617536\"] \n  18 -> 21 [size =\"23617536\"]\n  18 -> 22 [size =\"23617536\"]\n  19 [size=\"78821376\", alpha=\"0.07\", expect_size=\"39410688\"] \n  19 -> 21 [size =\"39410688\"]\n  19 -> 22 [size =\"39410688\"]\n  20 [size=\"23818240\", alpha=\"0.12\", expect_size=\"11909120\"] \n  20 -> 23 [size =\"11909120\"]\n  21 [size=\"37095424\", alpha=\"0.15\", expect_size=\"18547712\"] \n  21 -> 26 [size =\"18547712\"]\n  22 [size=\"59625472\", alpha=\"0.16\", expect_size=\"29812736\"] \n  22 -> 25 [size =\"29812736\"]\n  23 [size=\"67612672\", alpha=\"0.17\", expect_size=\"33806336\"] \n  23 -> 24 [size =\"33806336\"]\n  24 [size=\"74860544\", alpha=\"0.03\", expect_size=\"37430272\"] \n  25 [size=\"98906112\", alpha=\"0.03\", expect_size=\"49453056\"] \n  25 -> 27 [size =\"49453056\"]\n  25 -> 28 [size =\"49453056\"]\n  26 [size=\"22499328\", alpha=\"0.05\", expect_size=\"11249664\"] \n  26 -> 28 [size =\"11249664\"]\n  27 [size=\"58640384\", alpha=\"0.07\", expect_size=\"29320192\"] \n  27 -> 29 [size =\"29320192\"]\n  28 [size=\"99319808\", alpha=\"0.14\", expect_size=\"49659904\"] \n  28 -> 30 [size =\"49659904\"]\n  29 [size=\"96065536\", alpha=\"0.01\", expect_size=\"48032768\"] \n  30 [size=\"34285568\", alpha=\"0.16\", expect_size=\"17142784\"] \n  30 -> 31 [size =\"17142784\"]\n  30 -> 32 [size =\"17142784\"]\n  30 -> 33 [size =\"17142784\"]\n  31 [size=\"92528640\", alpha=\"0.19\", expect_size=\"46264320\"] \n  32 [size=\"70780928\", alpha=\"0.09\", expect_size=\"35390464\"] \n  32 -> 34 [size =\"35390464\"]\n  32 -> 35 [size =\"35390464\"]\n  32 -> 36 [size =\"35390464\"]\n  33 [size=\"51021824\", alpha=\"0.18\", expect_size=\"25510912\"] \n  33 -> 34 [size =\"25510912\"]\n  34 [size=\"37050368\", alpha=\"0.20\", expect_size=\"18525184\"] \n  35 [size=\"51939328\", alpha=\"0.15\", expect_size=\"25969664\"] \n  35 -> 37 [size =\"25969664\"]\n  35 -> 39 [size =\"25969664\"]\n  36 [size=\"64512000\", alpha=\"0.14\", expect_size=\"32256000\"] \n  36 -> 38 [size =\"32256000\"]\n  37 [size=\"90007552\", alpha=\"0.10\", expect_size=\"45003776\"] \n  37 -> 40 [size =\"45003776\"]\n  38 [size=\"29042688\", alpha=\"0.13\", expect_size=\"14521344\"] \n  38 -> 41 [size =\"14521344\"]\n  39 [size=\"96069632\", alpha=\"0.11\", expect_size=\"48034816\"] \n  39 -> 41 [size =\"48034816\"]\n  40 [size=\"101619712\", alpha=\"0.12\", expect_size=\"50809856\"] \n  41 [size=\"84535296\", alpha=\"0.18\", expect_size=\"42267648\"] \n  41 -> 42 [size =\"42267648\"]\n  41 -> 43 [size =\"42267648\"]\n  42 [size=\"80146432\", alpha=\"0.15\", expect_size=\"40073216\"] \n  42 -> 45 [size =\"40073216\"]\n  42 -> 46 [size =\"40073216\"]\n  43 [size=\"29218816\", alpha=\"0.04\", expect_size=\"14609408\"] \n  43 -> 44 [size =\"14609408\"]\n  44 [size=\"20525056\", alpha=\"0.07\", expect_size=\"10262528\"] \n  44 -> 48 [size =\"10262528\"]\n  44 -> 49 [size =\"10262528\"]\n  45 [size=\"19877888\", alpha=\"0.08\", expect_size=\"9938944\"] \n  45 -> 47 [size =\"9938944\"]\n  46 [size=\"91426816\", alpha=\"0.12\", expect_size=\"45713408\"] \n  46 -> 47 [size =\"45713408\"]\n  46 -> 48 [size =\"45713408\"]\n  47 [size=\"65185792\", alpha=\"0.06\", expect_size=\"32592896\"] \n  48 [size=\"18262016\", alpha=\"0.18\", expect_size=\"9131008\"] \n  48 -> 50 [size =\"9131008\"]\n  49 [size=\"81776640\", alpha=\"0.09\", expect_size=\"40888320\"] \n  50 [size=\"40951808\", alpha=\"0.05\", expect_size=\"20475904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.254.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47085568\", alpha=\"0.19\", expect_size=\"23542784\"] \n  1 -> 12 [size =\"23542784\"]\n  2 [size=\"70817792\", alpha=\"0.07\", expect_size=\"35408896\"] \n  2 -> 9 [size =\"35408896\"]\n  2 -> 10 [size =\"35408896\"]\n  2 -> 12 [size =\"35408896\"]\n  3 [size=\"28577792\", alpha=\"0.19\", expect_size=\"14288896\"] \n  3 -> 7 [size =\"14288896\"]\n  3 -> 10 [size =\"14288896\"]\n  3 -> 12 [size =\"14288896\"]\n  4 [size=\"51503104\", alpha=\"0.11\", expect_size=\"25751552\"] \n  4 -> 7 [size =\"25751552\"]\n  4 -> 10 [size =\"25751552\"]\n  4 -> 11 [size =\"25751552\"]\n  5 [size=\"19208192\", alpha=\"0.20\", expect_size=\"9604096\"] \n  5 -> 7 [size =\"9604096\"]\n  5 -> 11 [size =\"9604096\"]\n  6 [size=\"31524864\", alpha=\"0.16\", expect_size=\"15762432\"] \n  6 -> 8 [size =\"15762432\"]\n  6 -> 11 [size =\"15762432\"]\n  7 [size=\"54667264\", alpha=\"0.13\", expect_size=\"27333632\"] \n  7 -> 14 [size =\"27333632\"]\n  7 -> 15 [size =\"27333632\"]\n  7 -> 16 [size =\"27333632\"]\n  8 [size=\"38993920\", alpha=\"0.01\", expect_size=\"19496960\"] \n  8 -> 13 [size =\"19496960\"]\n  8 -> 15 [size =\"19496960\"]\n  9 [size=\"54831104\", alpha=\"0.09\", expect_size=\"27415552\"] \n  9 -> 15 [size =\"27415552\"]\n  10 [size=\"87029760\", alpha=\"0.08\", expect_size=\"43514880\"] \n  10 -> 13 [size =\"43514880\"]\n  11 [size=\"57278464\", alpha=\"0.19\", expect_size=\"28639232\"] \n  11 -> 16 [size =\"28639232\"]\n  12 [size=\"54224896\", alpha=\"0.04\", expect_size=\"27112448\"] \n  12 -> 17 [size =\"27112448\"]\n  12 -> 18 [size =\"27112448\"]\n  13 [size=\"88143872\", alpha=\"0.19\", expect_size=\"44071936\"] \n  13 -> 19 [size =\"44071936\"]\n  13 -> 20 [size =\"44071936\"]\n  13 -> 23 [size =\"44071936\"]\n  14 [size=\"82288640\", alpha=\"0.15\", expect_size=\"41144320\"] \n  14 -> 21 [size =\"41144320\"]\n  14 -> 22 [size =\"41144320\"]\n  14 -> 23 [size =\"41144320\"]\n  14 -> 24 [size =\"41144320\"]\n  15 [size=\"38668288\", alpha=\"0.04\", expect_size=\"19334144\"] \n  16 [size=\"37928960\", alpha=\"0.10\", expect_size=\"18964480\"] \n  16 -> 22 [size =\"18964480\"]\n  16 -> 23 [size =\"18964480\"]\n  17 [size=\"18151424\", alpha=\"0.08\", expect_size=\"9075712\"] \n  17 -> 19 [size =\"9075712\"]\n  17 -> 20 [size =\"9075712\"]\n  17 -> 21 [size =\"9075712\"]\n  17 -> 22 [size =\"9075712\"]\n  18 [size=\"80416768\", alpha=\"0.07\", expect_size=\"40208384\"] \n  18 -> 19 [size =\"40208384\"]\n  18 -> 21 [size =\"40208384\"]\n  19 [size=\"85903360\", alpha=\"0.07\", expect_size=\"42951680\"] \n  19 -> 25 [size =\"42951680\"]\n  19 -> 26 [size =\"42951680\"]\n  20 [size=\"34060288\", alpha=\"0.14\", expect_size=\"17030144\"] \n  20 -> 26 [size =\"17030144\"]\n  20 -> 29 [size =\"17030144\"]\n  20 -> 30 [size =\"17030144\"]\n  21 [size=\"73992192\", alpha=\"0.10\", expect_size=\"36996096\"] \n  22 [size=\"68313088\", alpha=\"0.19\", expect_size=\"34156544\"] \n  22 -> 25 [size =\"34156544\"]\n  22 -> 27 [size =\"34156544\"]\n  22 -> 28 [size =\"34156544\"]\n  23 [size=\"88956928\", alpha=\"0.11\", expect_size=\"44478464\"] \n  23 -> 28 [size =\"44478464\"]\n  23 -> 30 [size =\"44478464\"]\n  24 [size=\"86222848\", alpha=\"0.12\", expect_size=\"43111424\"] \n  24 -> 26 [size =\"43111424\"]\n  24 -> 28 [size =\"43111424\"]\n  25 [size=\"61159424\", alpha=\"0.15\", expect_size=\"30579712\"] \n  26 [size=\"80523264\", alpha=\"0.02\", expect_size=\"40261632\"] \n  26 -> 32 [size =\"40261632\"]\n  26 -> 33 [size =\"40261632\"]\n  26 -> 34 [size =\"40261632\"]\n  26 -> 35 [size =\"40261632\"]\n  27 [size=\"34373632\", alpha=\"0.18\", expect_size=\"17186816\"] \n  27 -> 31 [size =\"17186816\"]\n  27 -> 34 [size =\"17186816\"]\n  28 [size=\"73592832\", alpha=\"0.01\", expect_size=\"36796416\"] \n  28 -> 32 [size =\"36796416\"]\n  28 -> 33 [size =\"36796416\"]\n  28 -> 35 [size =\"36796416\"]\n  29 [size=\"13195264\", alpha=\"0.13\", expect_size=\"6597632\"] \n  29 -> 31 [size =\"6597632\"]\n  29 -> 33 [size =\"6597632\"]\n  29 -> 35 [size =\"6597632\"]\n  29 -> 36 [size =\"6597632\"]\n  30 [size=\"44208128\", alpha=\"0.02\", expect_size=\"22104064\"] \n  30 -> 31 [size =\"22104064\"]\n  30 -> 32 [size =\"22104064\"]\n  31 [size=\"18083840\", alpha=\"0.20\", expect_size=\"9041920\"] \n  31 -> 40 [size =\"9041920\"]\n  31 -> 41 [size =\"9041920\"]\n  31 -> 42 [size =\"9041920\"]\n  32 [size=\"65800192\", alpha=\"0.07\", expect_size=\"32900096\"] \n  32 -> 41 [size =\"32900096\"]\n  32 -> 42 [size =\"32900096\"]\n  32 -> 43 [size =\"32900096\"]\n  33 [size=\"58941440\", alpha=\"0.11\", expect_size=\"29470720\"] \n  33 -> 43 [size =\"29470720\"]\n  34 [size=\"15605760\", alpha=\"0.10\", expect_size=\"7802880\"] \n  34 -> 38 [size =\"7802880\"]\n  34 -> 43 [size =\"7802880\"]\n  35 [size=\"71178240\", alpha=\"0.15\", expect_size=\"35589120\"] \n  35 -> 37 [size =\"35589120\"]\n  35 -> 39 [size =\"35589120\"]\n  36 [size=\"45643776\", alpha=\"0.06\", expect_size=\"22821888\"] \n  36 -> 42 [size =\"22821888\"]\n  37 [size=\"54409216\", alpha=\"0.19\", expect_size=\"27204608\"] \n  37 -> 46 [size =\"27204608\"]\n  37 -> 47 [size =\"27204608\"]\n  37 -> 48 [size =\"27204608\"]\n  38 [size=\"47284224\", alpha=\"0.06\", expect_size=\"23642112\"] \n  38 -> 44 [size =\"23642112\"]\n  38 -> 49 [size =\"23642112\"]\n  39 [size=\"52781056\", alpha=\"0.10\", expect_size=\"26390528\"] \n  39 -> 46 [size =\"26390528\"]\n  40 [size=\"20873216\", alpha=\"0.18\", expect_size=\"10436608\"] \n  40 -> 45 [size =\"10436608\"]\n  40 -> 48 [size =\"10436608\"]\n  40 -> 49 [size =\"10436608\"]\n  40 -> 50 [size =\"10436608\"]\n  41 [size=\"28106752\", alpha=\"0.20\", expect_size=\"14053376\"] \n  41 -> 49 [size =\"14053376\"]\n  42 [size=\"26902528\", alpha=\"0.14\", expect_size=\"13451264\"] \n  42 -> 44 [size =\"13451264\"]\n  42 -> 45 [size =\"13451264\"]\n  42 -> 46 [size =\"13451264\"]\n  42 -> 49 [size =\"13451264\"]\n  43 [size=\"61001728\", alpha=\"0.05\", expect_size=\"30500864\"] \n  43 -> 46 [size =\"30500864\"]\n  44 [size=\"19320832\", alpha=\"0.12\", expect_size=\"9660416\"] \n  45 [size=\"68034560\", alpha=\"0.09\", expect_size=\"34017280\"] \n  46 [size=\"46581760\", alpha=\"0.01\", expect_size=\"23290880\"] \n  47 [size=\"76779520\", alpha=\"0.19\", expect_size=\"38389760\"] \n  48 [size=\"71921664\", alpha=\"0.10\", expect_size=\"35960832\"] \n  49 [size=\"101939200\", alpha=\"0.01\", expect_size=\"50969600\"] \n  50 [size=\"53506048\", alpha=\"0.19\", expect_size=\"26753024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.255.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22984704\", alpha=\"0.14\", expect_size=\"11492352\"] \n  1 -> 31 [size =\"11492352\"]\n  1 -> 33 [size =\"11492352\"]\n  1 -> 34 [size =\"11492352\"]\n  1 -> 36 [size =\"11492352\"]\n  1 -> 44 [size =\"11492352\"]\n  1 -> 47 [size =\"11492352\"]\n  1 -> 48 [size =\"11492352\"]\n  2 [size=\"45498368\", alpha=\"0.06\", expect_size=\"22749184\"] \n  2 -> 31 [size =\"22749184\"]\n  2 -> 33 [size =\"22749184\"]\n  2 -> 34 [size =\"22749184\"]\n  2 -> 36 [size =\"22749184\"]\n  2 -> 47 [size =\"22749184\"]\n  2 -> 48 [size =\"22749184\"]\n  2 -> 50 [size =\"22749184\"]\n  3 [size=\"10733568\", alpha=\"0.10\", expect_size=\"5366784\"] \n  3 -> 33 [size =\"5366784\"]\n  3 -> 34 [size =\"5366784\"]\n  3 -> 35 [size =\"5366784\"]\n  3 -> 36 [size =\"5366784\"]\n  3 -> 43 [size =\"5366784\"]\n  3 -> 47 [size =\"5366784\"]\n  3 -> 48 [size =\"5366784\"]\n  4 [size=\"54589440\", alpha=\"0.19\", expect_size=\"27294720\"] \n  4 -> 35 [size =\"27294720\"]\n  4 -> 37 [size =\"27294720\"]\n  4 -> 39 [size =\"27294720\"]\n  4 -> 40 [size =\"27294720\"]\n  4 -> 43 [size =\"27294720\"]\n  4 -> 50 [size =\"27294720\"]\n  5 [size=\"27437056\", alpha=\"0.16\", expect_size=\"13718528\"] \n  5 -> 31 [size =\"13718528\"]\n  5 -> 35 [size =\"13718528\"]\n  5 -> 47 [size =\"13718528\"]\n  5 -> 48 [size =\"13718528\"]\n  5 -> 49 [size =\"13718528\"]\n  6 [size=\"101869568\", alpha=\"0.17\", expect_size=\"50934784\"] \n  6 -> 43 [size =\"50934784\"]\n  6 -> 48 [size =\"50934784\"]\n  7 [size=\"33394688\", alpha=\"0.08\", expect_size=\"16697344\"] \n  7 -> 31 [size =\"16697344\"]\n  7 -> 32 [size =\"16697344\"]\n  7 -> 43 [size =\"16697344\"]\n  7 -> 45 [size =\"16697344\"]\n  8 [size=\"54956032\", alpha=\"0.05\", expect_size=\"27478016\"] \n  8 -> 31 [size =\"27478016\"]\n  8 -> 32 [size =\"27478016\"]\n  8 -> 33 [size =\"27478016\"]\n  8 -> 34 [size =\"27478016\"]\n  8 -> 35 [size =\"27478016\"]\n  8 -> 37 [size =\"27478016\"]\n  8 -> 42 [size =\"27478016\"]\n  8 -> 47 [size =\"27478016\"]\n  8 -> 50 [size =\"27478016\"]\n  9 [size=\"94873600\", alpha=\"0.07\", expect_size=\"47436800\"] \n  9 -> 37 [size =\"47436800\"]\n  9 -> 38 [size =\"47436800\"]\n  9 -> 42 [size =\"47436800\"]\n  9 -> 44 [size =\"47436800\"]\n  9 -> 46 [size =\"47436800\"]\n  10 [size=\"98885632\", alpha=\"0.09\", expect_size=\"49442816\"] \n  10 -> 31 [size =\"49442816\"]\n  10 -> 33 [size =\"49442816\"]\n  10 -> 34 [size =\"49442816\"]\n  10 -> 40 [size =\"49442816\"]\n  10 -> 44 [size =\"49442816\"]\n  10 -> 45 [size =\"49442816\"]\n  11 [size=\"98359296\", alpha=\"0.00\", expect_size=\"49179648\"] \n  11 -> 31 [size =\"49179648\"]\n  11 -> 34 [size =\"49179648\"]\n  11 -> 38 [size =\"49179648\"]\n  11 -> 40 [size =\"49179648\"]\n  11 -> 42 [size =\"49179648\"]\n  11 -> 44 [size =\"49179648\"]\n  11 -> 50 [size =\"49179648\"]\n  12 [size=\"70969344\", alpha=\"0.14\", expect_size=\"35484672\"] \n  12 -> 31 [size =\"35484672\"]\n  12 -> 34 [size =\"35484672\"]\n  12 -> 37 [size =\"35484672\"]\n  12 -> 42 [size =\"35484672\"]\n  12 -> 48 [size =\"35484672\"]\n  13 [size=\"96954368\", alpha=\"0.08\", expect_size=\"48477184\"] \n  13 -> 42 [size =\"48477184\"]\n  13 -> 47 [size =\"48477184\"]\n  14 [size=\"48570368\", alpha=\"0.19\", expect_size=\"24285184\"] \n  14 -> 35 [size =\"24285184\"]\n  14 -> 39 [size =\"24285184\"]\n  14 -> 42 [size =\"24285184\"]\n  15 [size=\"45162496\", alpha=\"0.13\", expect_size=\"22581248\"] \n  15 -> 31 [size =\"22581248\"]\n  15 -> 33 [size =\"22581248\"]\n  15 -> 44 [size =\"22581248\"]\n  16 [size=\"26517504\", alpha=\"0.06\", expect_size=\"13258752\"] \n  16 -> 33 [size =\"13258752\"]\n  16 -> 34 [size =\"13258752\"]\n  16 -> 35 [size =\"13258752\"]\n  16 -> 48 [size =\"13258752\"]\n  16 -> 50 [size =\"13258752\"]\n  17 [size=\"13613056\", alpha=\"0.08\", expect_size=\"6806528\"] \n  17 -> 33 [size =\"6806528\"]\n  17 -> 40 [size =\"6806528\"]\n  17 -> 42 [size =\"6806528\"]\n  17 -> 44 [size =\"6806528\"]\n  17 -> 47 [size =\"6806528\"]\n  17 -> 48 [size =\"6806528\"]\n  18 [size=\"51390464\", alpha=\"0.03\", expect_size=\"25695232\"] \n  18 -> 32 [size =\"25695232\"]\n  18 -> 33 [size =\"25695232\"]\n  18 -> 38 [size =\"25695232\"]\n  18 -> 40 [size =\"25695232\"]\n  18 -> 42 [size =\"25695232\"]\n  19 [size=\"75216896\", alpha=\"0.10\", expect_size=\"37608448\"] \n  19 -> 31 [size =\"37608448\"]\n  19 -> 34 [size =\"37608448\"]\n  19 -> 35 [size =\"37608448\"]\n  19 -> 41 [size =\"37608448\"]\n  19 -> 42 [size =\"37608448\"]\n  19 -> 44 [size =\"37608448\"]\n  19 -> 48 [size =\"37608448\"]\n  19 -> 49 [size =\"37608448\"]\n  20 [size=\"13838336\", alpha=\"0.04\", expect_size=\"6919168\"] \n  20 -> 38 [size =\"6919168\"]\n  20 -> 42 [size =\"6919168\"]\n  20 -> 44 [size =\"6919168\"]\n  20 -> 50 [size =\"6919168\"]\n  21 [size=\"57851904\", alpha=\"0.00\", expect_size=\"28925952\"] \n  21 -> 31 [size =\"28925952\"]\n  21 -> 33 [size =\"28925952\"]\n  21 -> 34 [size =\"28925952\"]\n  21 -> 38 [size =\"28925952\"]\n  21 -> 42 [size =\"28925952\"]\n  21 -> 44 [size =\"28925952\"]\n  22 [size=\"57972736\", alpha=\"0.04\", expect_size=\"28986368\"] \n  22 -> 34 [size =\"28986368\"]\n  22 -> 37 [size =\"28986368\"]\n  22 -> 38 [size =\"28986368\"]\n  22 -> 40 [size =\"28986368\"]\n  22 -> 43 [size =\"28986368\"]\n  22 -> 46 [size =\"28986368\"]\n  23 [size=\"29534208\", alpha=\"0.08\", expect_size=\"14767104\"] \n  23 -> 34 [size =\"14767104\"]\n  23 -> 37 [size =\"14767104\"]\n  23 -> 47 [size =\"14767104\"]\n  24 [size=\"66183168\", alpha=\"0.01\", expect_size=\"33091584\"] \n  24 -> 37 [size =\"33091584\"]\n  24 -> 38 [size =\"33091584\"]\n  24 -> 41 [size =\"33091584\"]\n  24 -> 47 [size =\"33091584\"]\n  25 [size=\"63778816\", alpha=\"0.18\", expect_size=\"31889408\"] \n  25 -> 31 [size =\"31889408\"]\n  25 -> 34 [size =\"31889408\"]\n  25 -> 38 [size =\"31889408\"]\n  25 -> 44 [size =\"31889408\"]\n  25 -> 50 [size =\"31889408\"]\n  26 [size=\"30930944\", alpha=\"0.14\", expect_size=\"15465472\"] \n  26 -> 32 [size =\"15465472\"]\n  26 -> 33 [size =\"15465472\"]\n  26 -> 34 [size =\"15465472\"]\n  26 -> 39 [size =\"15465472\"]\n  26 -> 44 [size =\"15465472\"]\n  26 -> 47 [size =\"15465472\"]\n  26 -> 48 [size =\"15465472\"]\n  26 -> 50 [size =\"15465472\"]\n  27 [size=\"60100608\", alpha=\"0.16\", expect_size=\"30050304\"] \n  27 -> 34 [size =\"30050304\"]\n  27 -> 36 [size =\"30050304\"]\n  27 -> 39 [size =\"30050304\"]\n  27 -> 42 [size =\"30050304\"]\n  27 -> 43 [size =\"30050304\"]\n  27 -> 47 [size =\"30050304\"]\n  27 -> 50 [size =\"30050304\"]\n  27 -> 50 [size =\"30050304\"]\n  28 [size=\"97607680\", alpha=\"0.06\", expect_size=\"48803840\"] \n  28 -> 31 [size =\"48803840\"]\n  28 -> 33 [size =\"48803840\"]\n  28 -> 38 [size =\"48803840\"]\n  28 -> 42 [size =\"48803840\"]\n  28 -> 44 [size =\"48803840\"]\n  28 -> 46 [size =\"48803840\"]\n  28 -> 47 [size =\"48803840\"]\n  28 -> 48 [size =\"48803840\"]\n  29 [size=\"19615744\", alpha=\"0.15\", expect_size=\"9807872\"] \n  29 -> 31 [size =\"9807872\"]\n  29 -> 33 [size =\"9807872\"]\n  29 -> 35 [size =\"9807872\"]\n  29 -> 38 [size =\"9807872\"]\n  29 -> 42 [size =\"9807872\"]\n  29 -> 43 [size =\"9807872\"]\n  29 -> 48 [size =\"9807872\"]\n  30 [size=\"65171456\", alpha=\"0.02\", expect_size=\"32585728\"] \n  30 -> 31 [size =\"32585728\"]\n  30 -> 33 [size =\"32585728\"]\n  30 -> 38 [size =\"32585728\"]\n  30 -> 41 [size =\"32585728\"]\n  30 -> 44 [size =\"32585728\"]\n  30 -> 47 [size =\"32585728\"]\n  30 -> 48 [size =\"32585728\"]\n  31 [size=\"81723392\", alpha=\"0.08\", expect_size=\"40861696\"] \n  32 [size=\"81772544\", alpha=\"0.06\", expect_size=\"40886272\"] \n  33 [size=\"100333568\", alpha=\"0.03\", expect_size=\"50166784\"] \n  34 [size=\"43284480\", alpha=\"0.08\", expect_size=\"21642240\"] \n  35 [size=\"49102848\", alpha=\"0.01\", expect_size=\"24551424\"] \n  36 [size=\"40366080\", alpha=\"0.16\", expect_size=\"20183040\"] \n  37 [size=\"14088192\", alpha=\"0.13\", expect_size=\"7044096\"] \n  38 [size=\"87554048\", alpha=\"0.18\", expect_size=\"43777024\"] \n  39 [size=\"22116352\", alpha=\"0.17\", expect_size=\"11058176\"] \n  40 [size=\"90908672\", alpha=\"0.16\", expect_size=\"45454336\"] \n  41 [size=\"99217408\", alpha=\"0.06\", expect_size=\"49608704\"] \n  42 [size=\"40548352\", alpha=\"0.05\", expect_size=\"20274176\"] \n  43 [size=\"69752832\", alpha=\"0.09\", expect_size=\"34876416\"] \n  44 [size=\"84561920\", alpha=\"0.05\", expect_size=\"42280960\"] \n  45 [size=\"28688384\", alpha=\"0.11\", expect_size=\"14344192\"] \n  46 [size=\"31182848\", alpha=\"0.02\", expect_size=\"15591424\"] \n  47 [size=\"13705216\", alpha=\"0.04\", expect_size=\"6852608\"] \n  48 [size=\"73756672\", alpha=\"0.04\", expect_size=\"36878336\"] \n  49 [size=\"63498240\", alpha=\"0.06\", expect_size=\"31749120\"] \n  50 [size=\"47661056\", alpha=\"0.20\", expect_size=\"23830528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.256.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113930240\", alpha=\"0.00\", expect_size=\"34179072\"] \n  1 -> 6 [size =\"34179072\"]\n  1 -> 11 [size =\"34179072\"]\n  1 -> 14 [size =\"34179072\"]\n  2 [size=\"141861547\", alpha=\"0.11\", expect_size=\"42558464\"] \n  2 -> 6 [size =\"42558464\"]\n  2 -> 7 [size =\"42558464\"]\n  2 -> 9 [size =\"42558464\"]\n  2 -> 11 [size =\"42558464\"]\n  2 -> 14 [size =\"42558464\"]\n  3 [size=\"43052373\", alpha=\"0.13\", expect_size=\"12915712\"] \n  3 -> 6 [size =\"12915712\"]\n  3 -> 7 [size =\"12915712\"]\n  3 -> 8 [size =\"12915712\"]\n  3 -> 11 [size =\"12915712\"]\n  3 -> 12 [size =\"12915712\"]\n  3 -> 13 [size =\"12915712\"]\n  3 -> 14 [size =\"12915712\"]\n  4 [size=\"174247253\", alpha=\"0.04\", expect_size=\"52274176\"] \n  4 -> 6 [size =\"52274176\"]\n  4 -> 8 [size =\"52274176\"]\n  4 -> 10 [size =\"52274176\"]\n  4 -> 13 [size =\"52274176\"]\n  5 [size=\"78411093\", alpha=\"0.06\", expect_size=\"23523328\"] \n  5 -> 6 [size =\"23523328\"]\n  5 -> 8 [size =\"23523328\"]\n  5 -> 11 [size =\"23523328\"]\n  5 -> 14 [size =\"23523328\"]\n  6 [size=\"129693013\", alpha=\"0.14\", expect_size=\"38907904\"] \n  6 -> 18 [size =\"38907904\"]\n  6 -> 20 [size =\"38907904\"]\n  6 -> 21 [size =\"38907904\"]\n  6 -> 22 [size =\"38907904\"]\n  7 [size=\"145466027\", alpha=\"0.11\", expect_size=\"43639808\"] \n  7 -> 17 [size =\"43639808\"]\n  7 -> 18 [size =\"43639808\"]\n  7 -> 20 [size =\"43639808\"]\n  7 -> 21 [size =\"43639808\"]\n  8 [size=\"106236587\", alpha=\"0.17\", expect_size=\"31870976\"] \n  8 -> 21 [size =\"31870976\"]\n  9 [size=\"77981013\", alpha=\"0.01\", expect_size=\"23394304\"] \n  9 -> 16 [size =\"23394304\"]\n  9 -> 18 [size =\"23394304\"]\n  9 -> 21 [size =\"23394304\"]\n  9 -> 22 [size =\"23394304\"]\n  10 [size=\"90163200\", alpha=\"0.09\", expect_size=\"27048960\"] \n  10 -> 15 [size =\"27048960\"]\n  10 -> 16 [size =\"27048960\"]\n  10 -> 18 [size =\"27048960\"]\n  11 [size=\"68894720\", alpha=\"0.06\", expect_size=\"20668416\"] \n  11 -> 16 [size =\"20668416\"]\n  11 -> 18 [size =\"20668416\"]\n  12 [size=\"69727573\", alpha=\"0.14\", expect_size=\"20918272\"] \n  12 -> 16 [size =\"20918272\"]\n  12 -> 17 [size =\"20918272\"]\n  12 -> 21 [size =\"20918272\"]\n  12 -> 22 [size =\"20918272\"]\n  13 [size=\"158767787\", alpha=\"0.06\", expect_size=\"47630336\"] \n  13 -> 16 [size =\"47630336\"]\n  13 -> 17 [size =\"47630336\"]\n  13 -> 18 [size =\"47630336\"]\n  13 -> 19 [size =\"47630336\"]\n  13 -> 21 [size =\"47630336\"]\n  14 [size=\"105885013\", alpha=\"0.17\", expect_size=\"31765504\"] \n  14 -> 21 [size =\"31765504\"]\n  15 [size=\"134891520\", alpha=\"0.10\", expect_size=\"40467456\"] \n  15 -> 24 [size =\"40467456\"]\n  15 -> 24 [size =\"40467456\"]\n  15 -> 25 [size =\"40467456\"]\n  16 [size=\"25200640\", alpha=\"0.05\", expect_size=\"7560192\"] \n  16 -> 24 [size =\"7560192\"]\n  17 [size=\"136362667\", alpha=\"0.19\", expect_size=\"40908800\"] \n  17 -> 24 [size =\"40908800\"]\n  17 -> 25 [size =\"40908800\"]\n  17 -> 26 [size =\"40908800\"]\n  18 [size=\"62293333\", alpha=\"0.17\", expect_size=\"18688000\"] \n  18 -> 25 [size =\"18688000\"]\n  19 [size=\"40441173\", alpha=\"0.10\", expect_size=\"12132352\"] \n  19 -> 25 [size =\"12132352\"]\n  20 [size=\"45841067\", alpha=\"0.10\", expect_size=\"13752320\"] \n  21 [size=\"116865707\", alpha=\"0.01\", expect_size=\"35059712\"] \n  21 -> 23 [size =\"35059712\"]\n  21 -> 25 [size =\"35059712\"]\n  21 -> 26 [size =\"35059712\"]\n  22 [size=\"165317973\", alpha=\"0.09\", expect_size=\"49595392\"] \n  22 -> 23 [size =\"49595392\"]\n  22 -> 24 [size =\"49595392\"]\n  22 -> 25 [size =\"49595392\"]\n  23 [size=\"117176320\", alpha=\"0.20\", expect_size=\"35152896\"] \n  23 -> 27 [size =\"35152896\"]\n  23 -> 30 [size =\"35152896\"]\n  24 [size=\"162355200\", alpha=\"0.10\", expect_size=\"48706560\"] \n  24 -> 27 [size =\"48706560\"]\n  24 -> 29 [size =\"48706560\"]\n  24 -> 30 [size =\"48706560\"]\n  25 [size=\"135171413\", alpha=\"0.09\", expect_size=\"40551424\"] \n  25 -> 27 [size =\"40551424\"]\n  25 -> 28 [size =\"40551424\"]\n  25 -> 29 [size =\"40551424\"]\n  26 [size=\"59654827\", alpha=\"0.01\", expect_size=\"17896448\"] \n  26 -> 28 [size =\"17896448\"]\n  26 -> 29 [size =\"17896448\"]\n  27 [size=\"99092480\", alpha=\"0.10\", expect_size=\"29727744\"] \n  27 -> 31 [size =\"29727744\"]\n  27 -> 32 [size =\"29727744\"]\n  27 -> 33 [size =\"29727744\"]\n  28 [size=\"90589867\", alpha=\"0.11\", expect_size=\"27176960\"] \n  28 -> 31 [size =\"27176960\"]\n  28 -> 32 [size =\"27176960\"]\n  28 -> 34 [size =\"27176960\"]\n  28 -> 35 [size =\"27176960\"]\n  29 [size=\"69406720\", alpha=\"0.18\", expect_size=\"20822016\"] \n  29 -> 31 [size =\"20822016\"]\n  29 -> 32 [size =\"20822016\"]\n  29 -> 34 [size =\"20822016\"]\n  29 -> 35 [size =\"20822016\"]\n  30 [size=\"151511040\", alpha=\"0.16\", expect_size=\"45453312\"] \n  30 -> 31 [size =\"45453312\"]\n  30 -> 34 [size =\"45453312\"]\n  30 -> 35 [size =\"45453312\"]\n  30 -> 35 [size =\"45453312\"]\n  31 [size=\"71430827\", alpha=\"0.19\", expect_size=\"21429248\"] \n  31 -> 36 [size =\"21429248\"]\n  31 -> 41 [size =\"21429248\"]\n  32 [size=\"82916693\", alpha=\"0.10\", expect_size=\"24875008\"] \n  32 -> 36 [size =\"24875008\"]\n  32 -> 39 [size =\"24875008\"]\n  32 -> 40 [size =\"24875008\"]\n  32 -> 41 [size =\"24875008\"]\n  33 [size=\"153064107\", alpha=\"0.18\", expect_size=\"45919232\"] \n  33 -> 36 [size =\"45919232\"]\n  33 -> 40 [size =\"45919232\"]\n  33 -> 41 [size =\"45919232\"]\n  33 -> 41 [size =\"45919232\"]\n  34 [size=\"150166187\", alpha=\"0.17\", expect_size=\"45049856\"] \n  34 -> 38 [size =\"45049856\"]\n  34 -> 39 [size =\"45049856\"]\n  34 -> 40 [size =\"45049856\"]\n  35 [size=\"73707520\", alpha=\"0.12\", expect_size=\"22112256\"] \n  35 -> 37 [size =\"22112256\"]\n  35 -> 38 [size =\"22112256\"]\n  35 -> 39 [size =\"22112256\"]\n  36 [size=\"141912747\", alpha=\"0.07\", expect_size=\"42573824\"] \n  36 -> 45 [size =\"42573824\"]\n  36 -> 46 [size =\"42573824\"]\n  36 -> 47 [size =\"42573824\"]\n  36 -> 48 [size =\"42573824\"]\n  36 -> 49 [size =\"42573824\"]\n  36 -> 50 [size =\"42573824\"]\n  37 [size=\"152425813\", alpha=\"0.18\", expect_size=\"45727744\"] \n  37 -> 42 [size =\"45727744\"]\n  37 -> 43 [size =\"45727744\"]\n  37 -> 45 [size =\"45727744\"]\n  37 -> 46 [size =\"45727744\"]\n  37 -> 47 [size =\"45727744\"]\n  37 -> 49 [size =\"45727744\"]\n  38 [size=\"75956907\", alpha=\"0.14\", expect_size=\"22787072\"] \n  38 -> 43 [size =\"22787072\"]\n  38 -> 47 [size =\"22787072\"]\n  38 -> 49 [size =\"22787072\"]\n  39 [size=\"158545920\", alpha=\"0.14\", expect_size=\"47563776\"] \n  39 -> 44 [size =\"47563776\"]\n  39 -> 45 [size =\"47563776\"]\n  39 -> 46 [size =\"47563776\"]\n  39 -> 47 [size =\"47563776\"]\n  39 -> 49 [size =\"47563776\"]\n  40 [size=\"146128213\", alpha=\"0.16\", expect_size=\"43838464\"] \n  40 -> 46 [size =\"43838464\"]\n  40 -> 47 [size =\"43838464\"]\n  41 [size=\"111394133\", alpha=\"0.12\", expect_size=\"33418240\"] \n  41 -> 45 [size =\"33418240\"]\n  41 -> 46 [size =\"33418240\"]\n  41 -> 47 [size =\"33418240\"]\n  41 -> 49 [size =\"33418240\"]\n  41 -> 50 [size =\"33418240\"]\n  42 [size=\"105765547\", alpha=\"0.06\", expect_size=\"31729664\"] \n  43 [size=\"24203947\", alpha=\"0.13\", expect_size=\"7261184\"] \n  44 [size=\"165290667\", alpha=\"0.18\", expect_size=\"49587200\"] \n  45 [size=\"145578667\", alpha=\"0.19\", expect_size=\"43673600\"] \n  46 [size=\"82479787\", alpha=\"0.04\", expect_size=\"24743936\"] \n  47 [size=\"141008213\", alpha=\"0.00\", expect_size=\"42302464\"] \n  48 [size=\"125480960\", alpha=\"0.06\", expect_size=\"37644288\"] \n  49 [size=\"80718507\", alpha=\"0.18\", expect_size=\"24215552\"] \n  50 [size=\"29682347\", alpha=\"0.07\", expect_size=\"8904704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.257.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150336853\", alpha=\"0.09\", expect_size=\"45101056\"] \n  1 -> 25 [size =\"45101056\"]\n  1 -> 26 [size =\"45101056\"]\n  1 -> 28 [size =\"45101056\"]\n  1 -> 30 [size =\"45101056\"]\n  1 -> 31 [size =\"45101056\"]\n  1 -> 36 [size =\"45101056\"]\n  1 -> 38 [size =\"45101056\"]\n  1 -> 41 [size =\"45101056\"]\n  1 -> 45 [size =\"45101056\"]\n  1 -> 47 [size =\"45101056\"]\n  2 [size=\"136427520\", alpha=\"0.19\", expect_size=\"40928256\"] \n  2 -> 30 [size =\"40928256\"]\n  2 -> 36 [size =\"40928256\"]\n  2 -> 38 [size =\"40928256\"]\n  2 -> 39 [size =\"40928256\"]\n  2 -> 40 [size =\"40928256\"]\n  2 -> 43 [size =\"40928256\"]\n  2 -> 44 [size =\"40928256\"]\n  2 -> 45 [size =\"40928256\"]\n  2 -> 49 [size =\"40928256\"]\n  3 [size=\"131816107\", alpha=\"0.11\", expect_size=\"39544832\"] \n  3 -> 26 [size =\"39544832\"]\n  3 -> 30 [size =\"39544832\"]\n  3 -> 31 [size =\"39544832\"]\n  3 -> 33 [size =\"39544832\"]\n  3 -> 36 [size =\"39544832\"]\n  3 -> 40 [size =\"39544832\"]\n  3 -> 43 [size =\"39544832\"]\n  3 -> 45 [size =\"39544832\"]\n  3 -> 49 [size =\"39544832\"]\n  4 [size=\"114636800\", alpha=\"0.13\", expect_size=\"34391040\"] \n  4 -> 25 [size =\"34391040\"]\n  4 -> 28 [size =\"34391040\"]\n  4 -> 31 [size =\"34391040\"]\n  4 -> 32 [size =\"34391040\"]\n  4 -> 33 [size =\"34391040\"]\n  4 -> 35 [size =\"34391040\"]\n  4 -> 36 [size =\"34391040\"]\n  4 -> 39 [size =\"34391040\"]\n  4 -> 40 [size =\"34391040\"]\n  4 -> 44 [size =\"34391040\"]\n  4 -> 45 [size =\"34391040\"]\n  4 -> 46 [size =\"34391040\"]\n  4 -> 47 [size =\"34391040\"]\n  4 -> 49 [size =\"34391040\"]\n  5 [size=\"40970240\", alpha=\"0.01\", expect_size=\"12291072\"] \n  5 -> 30 [size =\"12291072\"]\n  5 -> 31 [size =\"12291072\"]\n  5 -> 36 [size =\"12291072\"]\n  5 -> 37 [size =\"12291072\"]\n  5 -> 39 [size =\"12291072\"]\n  5 -> 42 [size =\"12291072\"]\n  5 -> 45 [size =\"12291072\"]\n  5 -> 46 [size =\"12291072\"]\n  5 -> 47 [size =\"12291072\"]\n  5 -> 49 [size =\"12291072\"]\n  6 [size=\"22094507\", alpha=\"0.00\", expect_size=\"6628352\"] \n  6 -> 25 [size =\"6628352\"]\n  6 -> 26 [size =\"6628352\"]\n  6 -> 28 [size =\"6628352\"]\n  6 -> 29 [size =\"6628352\"]\n  6 -> 35 [size =\"6628352\"]\n  6 -> 37 [size =\"6628352\"]\n  6 -> 38 [size =\"6628352\"]\n  6 -> 39 [size =\"6628352\"]\n  6 -> 43 [size =\"6628352\"]\n  6 -> 45 [size =\"6628352\"]\n  6 -> 46 [size =\"6628352\"]\n  6 -> 47 [size =\"6628352\"]\n  6 -> 49 [size =\"6628352\"]\n  6 -> 50 [size =\"6628352\"]\n  7 [size=\"23282347\", alpha=\"0.14\", expect_size=\"6984704\"] \n  7 -> 25 [size =\"6984704\"]\n  7 -> 30 [size =\"6984704\"]\n  7 -> 32 [size =\"6984704\"]\n  7 -> 36 [size =\"6984704\"]\n  7 -> 37 [size =\"6984704\"]\n  7 -> 44 [size =\"6984704\"]\n  7 -> 47 [size =\"6984704\"]\n  7 -> 50 [size =\"6984704\"]\n  8 [size=\"90033493\", alpha=\"0.04\", expect_size=\"27010048\"] \n  8 -> 25 [size =\"27010048\"]\n  8 -> 26 [size =\"27010048\"]\n  8 -> 30 [size =\"27010048\"]\n  8 -> 31 [size =\"27010048\"]\n  8 -> 33 [size =\"27010048\"]\n  8 -> 34 [size =\"27010048\"]\n  8 -> 36 [size =\"27010048\"]\n  8 -> 41 [size =\"27010048\"]\n  8 -> 44 [size =\"27010048\"]\n  8 -> 47 [size =\"27010048\"]\n  8 -> 50 [size =\"27010048\"]\n  9 [size=\"133850453\", alpha=\"0.05\", expect_size=\"40155136\"] \n  9 -> 27 [size =\"40155136\"]\n  9 -> 30 [size =\"40155136\"]\n  9 -> 30 [size =\"40155136\"]\n  9 -> 31 [size =\"40155136\"]\n  9 -> 33 [size =\"40155136\"]\n  9 -> 34 [size =\"40155136\"]\n  9 -> 35 [size =\"40155136\"]\n  9 -> 37 [size =\"40155136\"]\n  9 -> 45 [size =\"40155136\"]\n  9 -> 46 [size =\"40155136\"]\n  9 -> 48 [size =\"40155136\"]\n  9 -> 49 [size =\"40155136\"]\n  10 [size=\"48923307\", alpha=\"0.06\", expect_size=\"14676992\"] \n  10 -> 25 [size =\"14676992\"]\n  10 -> 26 [size =\"14676992\"]\n  10 -> 28 [size =\"14676992\"]\n  10 -> 30 [size =\"14676992\"]\n  10 -> 31 [size =\"14676992\"]\n  10 -> 33 [size =\"14676992\"]\n  10 -> 35 [size =\"14676992\"]\n  10 -> 36 [size =\"14676992\"]\n  10 -> 37 [size =\"14676992\"]\n  10 -> 39 [size =\"14676992\"]\n  10 -> 40 [size =\"14676992\"]\n  10 -> 44 [size =\"14676992\"]\n  11 [size=\"150869333\", alpha=\"0.12\", expect_size=\"45260800\"] \n  11 -> 26 [size =\"45260800\"]\n  11 -> 27 [size =\"45260800\"]\n  11 -> 30 [size =\"45260800\"]\n  11 -> 31 [size =\"45260800\"]\n  11 -> 32 [size =\"45260800\"]\n  11 -> 33 [size =\"45260800\"]\n  11 -> 37 [size =\"45260800\"]\n  11 -> 38 [size =\"45260800\"]\n  11 -> 39 [size =\"45260800\"]\n  11 -> 39 [size =\"45260800\"]\n  11 -> 40 [size =\"45260800\"]\n  11 -> 42 [size =\"45260800\"]\n  11 -> 44 [size =\"45260800\"]\n  11 -> 47 [size =\"45260800\"]\n  12 [size=\"63982933\", alpha=\"0.05\", expect_size=\"19194880\"] \n  12 -> 25 [size =\"19194880\"]\n  12 -> 26 [size =\"19194880\"]\n  12 -> 32 [size =\"19194880\"]\n  12 -> 36 [size =\"19194880\"]\n  12 -> 38 [size =\"19194880\"]\n  12 -> 40 [size =\"19194880\"]\n  12 -> 41 [size =\"19194880\"]\n  12 -> 44 [size =\"19194880\"]\n  12 -> 49 [size =\"19194880\"]\n  13 [size=\"57299627\", alpha=\"0.15\", expect_size=\"17189888\"] \n  13 -> 25 [size =\"17189888\"]\n  13 -> 26 [size =\"17189888\"]\n  13 -> 29 [size =\"17189888\"]\n  13 -> 32 [size =\"17189888\"]\n  13 -> 33 [size =\"17189888\"]\n  13 -> 34 [size =\"17189888\"]\n  13 -> 36 [size =\"17189888\"]\n  13 -> 38 [size =\"17189888\"]\n  13 -> 40 [size =\"17189888\"]\n  13 -> 42 [size =\"17189888\"]\n  13 -> 45 [size =\"17189888\"]\n  13 -> 49 [size =\"17189888\"]\n  14 [size=\"140288000\", alpha=\"0.09\", expect_size=\"42086400\"] \n  14 -> 25 [size =\"42086400\"]\n  14 -> 26 [size =\"42086400\"]\n  14 -> 29 [size =\"42086400\"]\n  14 -> 31 [size =\"42086400\"]\n  14 -> 36 [size =\"42086400\"]\n  14 -> 37 [size =\"42086400\"]\n  14 -> 42 [size =\"42086400\"]\n  14 -> 43 [size =\"42086400\"]\n  14 -> 47 [size =\"42086400\"]\n  14 -> 50 [size =\"42086400\"]\n  15 [size=\"89006080\", alpha=\"0.20\", expect_size=\"26701824\"] \n  15 -> 26 [size =\"26701824\"]\n  15 -> 26 [size =\"26701824\"]\n  15 -> 28 [size =\"26701824\"]\n  15 -> 29 [size =\"26701824\"]\n  15 -> 30 [size =\"26701824\"]\n  15 -> 31 [size =\"26701824\"]\n  15 -> 37 [size =\"26701824\"]\n  15 -> 39 [size =\"26701824\"]\n  15 -> 42 [size =\"26701824\"]\n  15 -> 43 [size =\"26701824\"]\n  15 -> 44 [size =\"26701824\"]\n  15 -> 47 [size =\"26701824\"]\n  15 -> 50 [size =\"26701824\"]\n  16 [size=\"94119253\", alpha=\"0.18\", expect_size=\"28235776\"] \n  16 -> 26 [size =\"28235776\"]\n  16 -> 27 [size =\"28235776\"]\n  16 -> 29 [size =\"28235776\"]\n  16 -> 30 [size =\"28235776\"]\n  16 -> 31 [size =\"28235776\"]\n  16 -> 31 [size =\"28235776\"]\n  16 -> 34 [size =\"28235776\"]\n  16 -> 35 [size =\"28235776\"]\n  16 -> 39 [size =\"28235776\"]\n  16 -> 44 [size =\"28235776\"]\n  16 -> 46 [size =\"28235776\"]\n  17 [size=\"96481280\", alpha=\"0.05\", expect_size=\"28944384\"] \n  17 -> 26 [size =\"28944384\"]\n  17 -> 29 [size =\"28944384\"]\n  17 -> 31 [size =\"28944384\"]\n  17 -> 32 [size =\"28944384\"]\n  17 -> 35 [size =\"28944384\"]\n  17 -> 38 [size =\"28944384\"]\n  17 -> 40 [size =\"28944384\"]\n  17 -> 46 [size =\"28944384\"]\n  17 -> 47 [size =\"28944384\"]\n  18 [size=\"51964587\", alpha=\"0.09\", expect_size=\"15589376\"] \n  18 -> 26 [size =\"15589376\"]\n  18 -> 28 [size =\"15589376\"]\n  18 -> 30 [size =\"15589376\"]\n  18 -> 31 [size =\"15589376\"]\n  18 -> 35 [size =\"15589376\"]\n  18 -> 37 [size =\"15589376\"]\n  18 -> 39 [size =\"15589376\"]\n  18 -> 40 [size =\"15589376\"]\n  18 -> 45 [size =\"15589376\"]\n  18 -> 46 [size =\"15589376\"]\n  18 -> 47 [size =\"15589376\"]\n  18 -> 50 [size =\"15589376\"]\n  19 [size=\"79691093\", alpha=\"0.01\", expect_size=\"23907328\"] \n  19 -> 27 [size =\"23907328\"]\n  19 -> 28 [size =\"23907328\"]\n  19 -> 32 [size =\"23907328\"]\n  19 -> 33 [size =\"23907328\"]\n  19 -> 34 [size =\"23907328\"]\n  19 -> 36 [size =\"23907328\"]\n  19 -> 37 [size =\"23907328\"]\n  19 -> 39 [size =\"23907328\"]\n  19 -> 46 [size =\"23907328\"]\n  19 -> 47 [size =\"23907328\"]\n  19 -> 47 [size =\"23907328\"]\n  20 [size=\"115496960\", alpha=\"0.14\", expect_size=\"34649088\"] \n  20 -> 26 [size =\"34649088\"]\n  20 -> 27 [size =\"34649088\"]\n  20 -> 28 [size =\"34649088\"]\n  20 -> 29 [size =\"34649088\"]\n  20 -> 30 [size =\"34649088\"]\n  20 -> 31 [size =\"34649088\"]\n  20 -> 34 [size =\"34649088\"]\n  20 -> 36 [size =\"34649088\"]\n  20 -> 39 [size =\"34649088\"]\n  20 -> 40 [size =\"34649088\"]\n  20 -> 42 [size =\"34649088\"]\n  20 -> 43 [size =\"34649088\"]\n  20 -> 45 [size =\"34649088\"]\n  20 -> 47 [size =\"34649088\"]\n  20 -> 49 [size =\"34649088\"]\n  20 -> 50 [size =\"34649088\"]\n  21 [size=\"159453867\", alpha=\"0.04\", expect_size=\"47836160\"] \n  21 -> 28 [size =\"47836160\"]\n  21 -> 30 [size =\"47836160\"]\n  21 -> 33 [size =\"47836160\"]\n  21 -> 35 [size =\"47836160\"]\n  21 -> 37 [size =\"47836160\"]\n  21 -> 39 [size =\"47836160\"]\n  21 -> 42 [size =\"47836160\"]\n  21 -> 44 [size =\"47836160\"]\n  21 -> 45 [size =\"47836160\"]\n  21 -> 47 [size =\"47836160\"]\n  22 [size=\"96013653\", alpha=\"0.10\", expect_size=\"28804096\"] \n  22 -> 25 [size =\"28804096\"]\n  22 -> 28 [size =\"28804096\"]\n  22 -> 29 [size =\"28804096\"]\n  22 -> 32 [size =\"28804096\"]\n  22 -> 33 [size =\"28804096\"]\n  22 -> 38 [size =\"28804096\"]\n  22 -> 41 [size =\"28804096\"]\n  22 -> 42 [size =\"28804096\"]\n  22 -> 45 [size =\"28804096\"]\n  22 -> 49 [size =\"28804096\"]\n  23 [size=\"133812907\", alpha=\"0.09\", expect_size=\"40143872\"] \n  23 -> 25 [size =\"40143872\"]\n  23 -> 28 [size =\"40143872\"]\n  23 -> 29 [size =\"40143872\"]\n  23 -> 30 [size =\"40143872\"]\n  23 -> 32 [size =\"40143872\"]\n  23 -> 35 [size =\"40143872\"]\n  23 -> 36 [size =\"40143872\"]\n  23 -> 38 [size =\"40143872\"]\n  23 -> 39 [size =\"40143872\"]\n  23 -> 42 [size =\"40143872\"]\n  23 -> 43 [size =\"40143872\"]\n  23 -> 44 [size =\"40143872\"]\n  23 -> 45 [size =\"40143872\"]\n  23 -> 50 [size =\"40143872\"]\n  24 [size=\"97850027\", alpha=\"0.02\", expect_size=\"29355008\"] \n  24 -> 25 [size =\"29355008\"]\n  24 -> 26 [size =\"29355008\"]\n  24 -> 29 [size =\"29355008\"]\n  24 -> 32 [size =\"29355008\"]\n  24 -> 34 [size =\"29355008\"]\n  24 -> 35 [size =\"29355008\"]\n  24 -> 36 [size =\"29355008\"]\n  24 -> 38 [size =\"29355008\"]\n  24 -> 39 [size =\"29355008\"]\n  24 -> 40 [size =\"29355008\"]\n  24 -> 41 [size =\"29355008\"]\n  24 -> 45 [size =\"29355008\"]\n  24 -> 45 [size =\"29355008\"]\n  25 [size=\"171141120\", alpha=\"0.17\", expect_size=\"51342336\"] \n  26 [size=\"168901973\", alpha=\"0.13\", expect_size=\"50670592\"] \n  27 [size=\"156412587\", alpha=\"0.09\", expect_size=\"46923776\"] \n  28 [size=\"35563520\", alpha=\"0.15\", expect_size=\"10669056\"] \n  29 [size=\"103700480\", alpha=\"0.16\", expect_size=\"31110144\"] \n  30 [size=\"108840960\", alpha=\"0.00\", expect_size=\"32652288\"] \n  31 [size=\"61549227\", alpha=\"0.02\", expect_size=\"18464768\"] \n  32 [size=\"94689280\", alpha=\"0.09\", expect_size=\"28406784\"] \n  33 [size=\"169929387\", alpha=\"0.02\", expect_size=\"50978816\"] \n  34 [size=\"87036587\", alpha=\"0.10\", expect_size=\"26110976\"] \n  35 [size=\"100457813\", alpha=\"0.07\", expect_size=\"30137344\"] \n  36 [size=\"76404053\", alpha=\"0.14\", expect_size=\"22921216\"] \n  37 [size=\"19496960\", alpha=\"0.11\", expect_size=\"5849088\"] \n  38 [size=\"92832427\", alpha=\"0.13\", expect_size=\"27849728\"] \n  39 [size=\"54394880\", alpha=\"0.02\", expect_size=\"16318464\"] \n  40 [size=\"20558507\", alpha=\"0.04\", expect_size=\"6167552\"] \n  41 [size=\"22773760\", alpha=\"0.04\", expect_size=\"6832128\"] \n  42 [size=\"37147307\", alpha=\"0.13\", expect_size=\"11144192\"] \n  43 [size=\"110185813\", alpha=\"0.18\", expect_size=\"33055744\"] \n  44 [size=\"124426240\", alpha=\"0.13\", expect_size=\"37327872\"] \n  45 [size=\"45400747\", alpha=\"0.07\", expect_size=\"13620224\"] \n  46 [size=\"101922133\", alpha=\"0.01\", expect_size=\"30576640\"] \n  47 [size=\"56067413\", alpha=\"0.12\", expect_size=\"16820224\"] \n  48 [size=\"144124587\", alpha=\"0.06\", expect_size=\"43237376\"] \n  49 [size=\"86016000\", alpha=\"0.10\", expect_size=\"25804800\"] \n  50 [size=\"101239467\", alpha=\"0.07\", expect_size=\"30371840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.258.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49155413\", alpha=\"0.09\", expect_size=\"14746624\"] \n  1 -> 10 [size =\"14746624\"]\n  1 -> 11 [size =\"14746624\"]\n  2 [size=\"95890773\", alpha=\"0.13\", expect_size=\"28767232\"] \n  2 -> 12 [size =\"28767232\"]\n  3 [size=\"86784000\", alpha=\"0.11\", expect_size=\"26035200\"] \n  3 -> 8 [size =\"26035200\"]\n  3 -> 12 [size =\"26035200\"]\n  4 [size=\"68331520\", alpha=\"0.04\", expect_size=\"20499456\"] \n  4 -> 9 [size =\"20499456\"]\n  5 [size=\"83886080\", alpha=\"0.04\", expect_size=\"25165824\"] \n  5 -> 9 [size =\"25165824\"]\n  5 -> 11 [size =\"25165824\"]\n  6 [size=\"121931093\", alpha=\"0.13\", expect_size=\"36579328\"] \n  6 -> 7 [size =\"36579328\"]\n  6 -> 8 [size =\"36579328\"]\n  6 -> 9 [size =\"36579328\"]\n  6 -> 10 [size =\"36579328\"]\n  6 -> 11 [size =\"36579328\"]\n  7 [size=\"95303680\", alpha=\"0.17\", expect_size=\"28591104\"] \n  7 -> 15 [size =\"28591104\"]\n  7 -> 17 [size =\"28591104\"]\n  7 -> 19 [size =\"28591104\"]\n  8 [size=\"159685973\", alpha=\"0.06\", expect_size=\"47905792\"] \n  8 -> 13 [size =\"47905792\"]\n  8 -> 16 [size =\"47905792\"]\n  8 -> 17 [size =\"47905792\"]\n  9 [size=\"152036693\", alpha=\"0.13\", expect_size=\"45611008\"] \n  9 -> 13 [size =\"45611008\"]\n  9 -> 14 [size =\"45611008\"]\n  9 -> 17 [size =\"45611008\"]\n  10 [size=\"26156373\", alpha=\"0.14\", expect_size=\"7846912\"] \n  10 -> 16 [size =\"7846912\"]\n  10 -> 20 [size =\"7846912\"]\n  11 [size=\"79650133\", alpha=\"0.05\", expect_size=\"23895040\"] \n  11 -> 18 [size =\"23895040\"]\n  11 -> 20 [size =\"23895040\"]\n  12 [size=\"149527893\", alpha=\"0.10\", expect_size=\"44858368\"] \n  12 -> 20 [size =\"44858368\"]\n  13 [size=\"92272640\", alpha=\"0.18\", expect_size=\"27681792\"] \n  13 -> 21 [size =\"27681792\"]\n  13 -> 24 [size =\"27681792\"]\n  13 -> 26 [size =\"27681792\"]\n  14 [size=\"23394987\", alpha=\"0.15\", expect_size=\"7018496\"] \n  14 -> 23 [size =\"7018496\"]\n  14 -> 24 [size =\"7018496\"]\n  15 [size=\"52766720\", alpha=\"0.08\", expect_size=\"15830016\"] \n  15 -> 23 [size =\"15830016\"]\n  15 -> 24 [size =\"15830016\"]\n  15 -> 25 [size =\"15830016\"]\n  16 [size=\"85760000\", alpha=\"0.00\", expect_size=\"25728000\"] \n  16 -> 26 [size =\"25728000\"]\n  17 [size=\"33368747\", alpha=\"0.19\", expect_size=\"10010624\"] \n  17 -> 22 [size =\"10010624\"]\n  18 [size=\"164956160\", alpha=\"0.02\", expect_size=\"49486848\"] \n  18 -> 24 [size =\"49486848\"]\n  18 -> 26 [size =\"49486848\"]\n  19 [size=\"56842240\", alpha=\"0.15\", expect_size=\"17052672\"] \n  19 -> 23 [size =\"17052672\"]\n  19 -> 25 [size =\"17052672\"]\n  20 [size=\"155972267\", alpha=\"0.16\", expect_size=\"46791680\"] \n  20 -> 26 [size =\"46791680\"]\n  21 [size=\"105652907\", alpha=\"0.20\", expect_size=\"31695872\"] \n  21 -> 28 [size =\"31695872\"]\n  21 -> 29 [size =\"31695872\"]\n  21 -> 32 [size =\"31695872\"]\n  22 [size=\"141711360\", alpha=\"0.14\", expect_size=\"42513408\"] \n  22 -> 27 [size =\"42513408\"]\n  22 -> 32 [size =\"42513408\"]\n  23 [size=\"64597333\", alpha=\"0.17\", expect_size=\"19379200\"] \n  23 -> 31 [size =\"19379200\"]\n  24 [size=\"50251093\", alpha=\"0.07\", expect_size=\"15075328\"] \n  24 -> 27 [size =\"15075328\"]\n  25 [size=\"168430933\", alpha=\"0.05\", expect_size=\"50529280\"] \n  25 -> 30 [size =\"50529280\"]\n  25 -> 32 [size =\"50529280\"]\n  26 [size=\"70642347\", alpha=\"0.16\", expect_size=\"21192704\"] \n  26 -> 27 [size =\"21192704\"]\n  26 -> 30 [size =\"21192704\"]\n  27 [size=\"73492480\", alpha=\"0.17\", expect_size=\"22047744\"] \n  27 -> 33 [size =\"22047744\"]\n  27 -> 34 [size =\"22047744\"]\n  27 -> 37 [size =\"22047744\"]\n  28 [size=\"63484587\", alpha=\"0.16\", expect_size=\"19045376\"] \n  28 -> 37 [size =\"19045376\"]\n  29 [size=\"82967893\", alpha=\"0.13\", expect_size=\"24890368\"] \n  29 -> 33 [size =\"24890368\"]\n  29 -> 34 [size =\"24890368\"]\n  29 -> 36 [size =\"24890368\"]\n  29 -> 37 [size =\"24890368\"]\n  30 [size=\"46718293\", alpha=\"0.10\", expect_size=\"14015488\"] \n  30 -> 33 [size =\"14015488\"]\n  30 -> 34 [size =\"14015488\"]\n  30 -> 35 [size =\"14015488\"]\n  30 -> 36 [size =\"14015488\"]\n  31 [size=\"169687040\", alpha=\"0.15\", expect_size=\"50906112\"] \n  31 -> 35 [size =\"50906112\"]\n  32 [size=\"168973653\", alpha=\"0.18\", expect_size=\"50692096\"] \n  32 -> 35 [size =\"50692096\"]\n  33 [size=\"123002880\", alpha=\"0.09\", expect_size=\"36900864\"] \n  33 -> 40 [size =\"36900864\"]\n  34 [size=\"101082453\", alpha=\"0.02\", expect_size=\"30324736\"] \n  34 -> 38 [size =\"30324736\"]\n  34 -> 43 [size =\"30324736\"]\n  35 [size=\"154060800\", alpha=\"0.19\", expect_size=\"46218240\"] \n  35 -> 40 [size =\"46218240\"]\n  35 -> 41 [size =\"46218240\"]\n  35 -> 42 [size =\"46218240\"]\n  36 [size=\"33788587\", alpha=\"0.04\", expect_size=\"10136576\"] \n  36 -> 38 [size =\"10136576\"]\n  36 -> 41 [size =\"10136576\"]\n  37 [size=\"159286613\", alpha=\"0.12\", expect_size=\"47785984\"] \n  37 -> 39 [size =\"47785984\"]\n  37 -> 41 [size =\"47785984\"]\n  38 [size=\"136529920\", alpha=\"0.18\", expect_size=\"40958976\"] \n  38 -> 44 [size =\"40958976\"]\n  38 -> 45 [size =\"40958976\"]\n  38 -> 47 [size =\"40958976\"]\n  39 [size=\"107724800\", alpha=\"0.09\", expect_size=\"32317440\"] \n  39 -> 45 [size =\"32317440\"]\n  39 -> 46 [size =\"32317440\"]\n  39 -> 48 [size =\"32317440\"]\n  40 [size=\"50152107\", alpha=\"0.18\", expect_size=\"15045632\"] \n  40 -> 48 [size =\"15045632\"]\n  41 [size=\"129774933\", alpha=\"0.19\", expect_size=\"38932480\"] \n  42 [size=\"94201173\", alpha=\"0.15\", expect_size=\"28260352\"] \n  42 -> 46 [size =\"28260352\"]\n  43 [size=\"75482453\", alpha=\"0.17\", expect_size=\"22644736\"] \n  44 [size=\"148418560\", alpha=\"0.03\", expect_size=\"44525568\"] \n  44 -> 49 [size =\"44525568\"]\n  44 -> 50 [size =\"44525568\"]\n  45 [size=\"161641813\", alpha=\"0.08\", expect_size=\"48492544\"] \n  46 [size=\"150449493\", alpha=\"0.00\", expect_size=\"45134848\"] \n  46 -> 50 [size =\"45134848\"]\n  47 [size=\"25832107\", alpha=\"0.19\", expect_size=\"7749632\"] \n  48 [size=\"118265173\", alpha=\"0.04\", expect_size=\"35479552\"] \n  49 [size=\"103369387\", alpha=\"0.18\", expect_size=\"31010816\"] \n  50 [size=\"20503893\", alpha=\"0.15\", expect_size=\"6151168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.259.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93742080\", alpha=\"0.12\", expect_size=\"37496832\"] \n  1 -> 25 [size =\"37496832\"]\n  1 -> 26 [size =\"37496832\"]\n  1 -> 28 [size =\"37496832\"]\n  1 -> 29 [size =\"37496832\"]\n  1 -> 36 [size =\"37496832\"]\n  1 -> 37 [size =\"37496832\"]\n  1 -> 38 [size =\"37496832\"]\n  1 -> 41 [size =\"37496832\"]\n  2 [size=\"29329920\", alpha=\"0.17\", expect_size=\"11731968\"] \n  2 -> 26 [size =\"11731968\"]\n  2 -> 29 [size =\"11731968\"]\n  2 -> 30 [size =\"11731968\"]\n  2 -> 36 [size =\"11731968\"]\n  2 -> 38 [size =\"11731968\"]\n  2 -> 41 [size =\"11731968\"]\n  3 [size=\"20838400\", alpha=\"0.16\", expect_size=\"8335360\"] \n  3 -> 26 [size =\"8335360\"]\n  3 -> 29 [size =\"8335360\"]\n  3 -> 30 [size =\"8335360\"]\n  3 -> 36 [size =\"8335360\"]\n  3 -> 37 [size =\"8335360\"]\n  3 -> 38 [size =\"8335360\"]\n  3 -> 40 [size =\"8335360\"]\n  3 -> 41 [size =\"8335360\"]\n  4 [size=\"117061120\", alpha=\"0.07\", expect_size=\"46824448\"] \n  4 -> 26 [size =\"46824448\"]\n  4 -> 29 [size =\"46824448\"]\n  4 -> 30 [size =\"46824448\"]\n  4 -> 34 [size =\"46824448\"]\n  4 -> 37 [size =\"46824448\"]\n  4 -> 38 [size =\"46824448\"]\n  5 [size=\"102671360\", alpha=\"0.04\", expect_size=\"41068544\"] \n  5 -> 25 [size =\"41068544\"]\n  5 -> 29 [size =\"41068544\"]\n  5 -> 35 [size =\"41068544\"]\n  5 -> 38 [size =\"41068544\"]\n  6 [size=\"32322560\", alpha=\"0.10\", expect_size=\"12929024\"] \n  6 -> 25 [size =\"12929024\"]\n  6 -> 38 [size =\"12929024\"]\n  6 -> 41 [size =\"12929024\"]\n  7 [size=\"16512000\", alpha=\"0.12\", expect_size=\"6604800\"] \n  7 -> 25 [size =\"6604800\"]\n  7 -> 27 [size =\"6604800\"]\n  7 -> 29 [size =\"6604800\"]\n  7 -> 40 [size =\"6604800\"]\n  8 [size=\"24222720\", alpha=\"0.08\", expect_size=\"9689088\"] \n  8 -> 34 [size =\"9689088\"]\n  8 -> 36 [size =\"9689088\"]\n  9 [size=\"83701760\", alpha=\"0.02\", expect_size=\"33480704\"] \n  9 -> 25 [size =\"33480704\"]\n  9 -> 31 [size =\"33480704\"]\n  9 -> 34 [size =\"33480704\"]\n  9 -> 36 [size =\"33480704\"]\n  9 -> 37 [size =\"33480704\"]\n  9 -> 40 [size =\"33480704\"]\n  9 -> 41 [size =\"33480704\"]\n  10 [size=\"81940480\", alpha=\"0.04\", expect_size=\"32776192\"] \n  10 -> 29 [size =\"32776192\"]\n  10 -> 30 [size =\"32776192\"]\n  10 -> 34 [size =\"32776192\"]\n  10 -> 36 [size =\"32776192\"]\n  10 -> 40 [size =\"32776192\"]\n  10 -> 41 [size =\"32776192\"]\n  11 [size=\"93396480\", alpha=\"0.16\", expect_size=\"37358592\"] \n  11 -> 28 [size =\"37358592\"]\n  11 -> 29 [size =\"37358592\"]\n  11 -> 32 [size =\"37358592\"]\n  11 -> 34 [size =\"37358592\"]\n  11 -> 35 [size =\"37358592\"]\n  11 -> 36 [size =\"37358592\"]\n  11 -> 41 [size =\"37358592\"]\n  12 [size=\"44672000\", alpha=\"0.15\", expect_size=\"17868800\"] \n  12 -> 26 [size =\"17868800\"]\n  12 -> 30 [size =\"17868800\"]\n  12 -> 34 [size =\"17868800\"]\n  12 -> 34 [size =\"17868800\"]\n  12 -> 36 [size =\"17868800\"]\n  12 -> 40 [size =\"17868800\"]\n  12 -> 41 [size =\"17868800\"]\n  13 [size=\"29163520\", alpha=\"0.00\", expect_size=\"11665408\"] \n  13 -> 26 [size =\"11665408\"]\n  13 -> 34 [size =\"11665408\"]\n  13 -> 36 [size =\"11665408\"]\n  13 -> 40 [size =\"11665408\"]\n  13 -> 41 [size =\"11665408\"]\n  14 [size=\"123330560\", alpha=\"0.13\", expect_size=\"49332224\"] \n  14 -> 25 [size =\"49332224\"]\n  14 -> 30 [size =\"49332224\"]\n  14 -> 31 [size =\"49332224\"]\n  14 -> 32 [size =\"49332224\"]\n  14 -> 39 [size =\"49332224\"]\n  14 -> 40 [size =\"49332224\"]\n  15 [size=\"47370240\", alpha=\"0.14\", expect_size=\"18948096\"] \n  15 -> 26 [size =\"18948096\"]\n  15 -> 29 [size =\"18948096\"]\n  15 -> 32 [size =\"18948096\"]\n  15 -> 34 [size =\"18948096\"]\n  15 -> 36 [size =\"18948096\"]\n  15 -> 38 [size =\"18948096\"]\n  15 -> 40 [size =\"18948096\"]\n  16 [size=\"71539200\", alpha=\"0.11\", expect_size=\"28615680\"] \n  16 -> 23 [size =\"28615680\"]\n  16 -> 25 [size =\"28615680\"]\n  16 -> 29 [size =\"28615680\"]\n  16 -> 34 [size =\"28615680\"]\n  16 -> 36 [size =\"28615680\"]\n  16 -> 38 [size =\"28615680\"]\n  17 [size=\"15436800\", alpha=\"0.20\", expect_size=\"6174720\"] \n  17 -> 29 [size =\"6174720\"]\n  17 -> 33 [size =\"6174720\"]\n  17 -> 34 [size =\"6174720\"]\n  17 -> 34 [size =\"6174720\"]\n  18 [size=\"88020480\", alpha=\"0.11\", expect_size=\"35208192\"] \n  18 -> 23 [size =\"35208192\"]\n  18 -> 24 [size =\"35208192\"]\n  18 -> 25 [size =\"35208192\"]\n  18 -> 26 [size =\"35208192\"]\n  18 -> 29 [size =\"35208192\"]\n  18 -> 32 [size =\"35208192\"]\n  18 -> 37 [size =\"35208192\"]\n  18 -> 38 [size =\"35208192\"]\n  19 [size=\"14361600\", alpha=\"0.10\", expect_size=\"5744640\"] \n  19 -> 25 [size =\"5744640\"]\n  19 -> 26 [size =\"5744640\"]\n  19 -> 29 [size =\"5744640\"]\n  19 -> 31 [size =\"5744640\"]\n  19 -> 38 [size =\"5744640\"]\n  20 [size=\"28904960\", alpha=\"0.05\", expect_size=\"11561984\"] \n  20 -> 25 [size =\"11561984\"]\n  20 -> 26 [size =\"11561984\"]\n  20 -> 29 [size =\"11561984\"]\n  20 -> 36 [size =\"11561984\"]\n  20 -> 37 [size =\"11561984\"]\n  20 -> 40 [size =\"11561984\"]\n  21 [size=\"49735680\", alpha=\"0.14\", expect_size=\"19894272\"] \n  21 -> 25 [size =\"19894272\"]\n  21 -> 26 [size =\"19894272\"]\n  21 -> 36 [size =\"19894272\"]\n  21 -> 37 [size =\"19894272\"]\n  21 -> 41 [size =\"19894272\"]\n  22 [size=\"27776000\", alpha=\"0.05\", expect_size=\"11110400\"] \n  22 -> 26 [size =\"11110400\"]\n  22 -> 30 [size =\"11110400\"]\n  22 -> 31 [size =\"11110400\"]\n  22 -> 34 [size =\"11110400\"]\n  22 -> 41 [size =\"11110400\"]\n  23 [size=\"117440000\", alpha=\"0.18\", expect_size=\"46976000\"] \n  23 -> 44 [size =\"46976000\"]\n  24 [size=\"120087040\", alpha=\"0.08\", expect_size=\"48034816\"] \n  24 -> 44 [size =\"48034816\"]\n  24 -> 49 [size =\"48034816\"]\n  25 [size=\"77012480\", alpha=\"0.14\", expect_size=\"30804992\"] \n  25 -> 44 [size =\"30804992\"]\n  25 -> 45 [size =\"30804992\"]\n  25 -> 47 [size =\"30804992\"]\n  25 -> 49 [size =\"30804992\"]\n  26 [size=\"43694080\", alpha=\"0.03\", expect_size=\"17477632\"] \n  26 -> 44 [size =\"17477632\"]\n  26 -> 45 [size =\"17477632\"]\n  26 -> 46 [size =\"17477632\"]\n  26 -> 47 [size =\"17477632\"]\n  26 -> 49 [size =\"17477632\"]\n  27 [size=\"107376640\", alpha=\"0.12\", expect_size=\"42950656\"] \n  27 -> 43 [size =\"42950656\"]\n  27 -> 45 [size =\"42950656\"]\n  27 -> 47 [size =\"42950656\"]\n  27 -> 47 [size =\"42950656\"]\n  27 -> 48 [size =\"42950656\"]\n  27 -> 49 [size =\"42950656\"]\n  28 [size=\"105157120\", alpha=\"0.03\", expect_size=\"42062848\"] \n  29 [size=\"52705280\", alpha=\"0.07\", expect_size=\"21082112\"] \n  29 -> 42 [size =\"21082112\"]\n  30 [size=\"112353280\", alpha=\"0.02\", expect_size=\"44941312\"] \n  30 -> 49 [size =\"44941312\"]\n  31 [size=\"24599040\", alpha=\"0.10\", expect_size=\"9839616\"] \n  31 -> 49 [size =\"9839616\"]\n  32 [size=\"106009600\", alpha=\"0.04\", expect_size=\"42403840\"] \n  32 -> 43 [size =\"42403840\"]\n  32 -> 49 [size =\"42403840\"]\n  33 [size=\"18915840\", alpha=\"0.01\", expect_size=\"7566336\"] \n  33 -> 43 [size =\"7566336\"]\n  33 -> 45 [size =\"7566336\"]\n  34 [size=\"124945920\", alpha=\"0.16\", expect_size=\"49978368\"] \n  34 -> 43 [size =\"49978368\"]\n  34 -> 49 [size =\"49978368\"]\n  35 [size=\"56194560\", alpha=\"0.17\", expect_size=\"22477824\"] \n  35 -> 42 [size =\"22477824\"]\n  35 -> 43 [size =\"22477824\"]\n  35 -> 48 [size =\"22477824\"]\n  35 -> 49 [size =\"22477824\"]\n  36 [size=\"20193280\", alpha=\"0.08\", expect_size=\"8077312\"] \n  36 -> 43 [size =\"8077312\"]\n  36 -> 45 [size =\"8077312\"]\n  36 -> 47 [size =\"8077312\"]\n  36 -> 48 [size =\"8077312\"]\n  36 -> 49 [size =\"8077312\"]\n  37 [size=\"36160000\", alpha=\"0.19\", expect_size=\"14464000\"] \n  37 -> 43 [size =\"14464000\"]\n  37 -> 44 [size =\"14464000\"]\n  37 -> 48 [size =\"14464000\"]\n  37 -> 48 [size =\"14464000\"]\n  37 -> 49 [size =\"14464000\"]\n  38 [size=\"107496960\", alpha=\"0.03\", expect_size=\"42998784\"] \n  38 -> 44 [size =\"42998784\"]\n  38 -> 44 [size =\"42998784\"]\n  39 [size=\"127357440\", alpha=\"0.08\", expect_size=\"50942976\"] \n  39 -> 44 [size =\"50942976\"]\n  39 -> 46 [size =\"50942976\"]\n  39 -> 49 [size =\"50942976\"]\n  40 [size=\"48373760\", alpha=\"0.15\", expect_size=\"19349504\"] \n  40 -> 44 [size =\"19349504\"]\n  40 -> 48 [size =\"19349504\"]\n  41 [size=\"57344000\", alpha=\"0.08\", expect_size=\"22937600\"] \n  41 -> 44 [size =\"22937600\"]\n  42 [size=\"116592640\", alpha=\"0.04\", expect_size=\"46637056\"] \n  43 [size=\"21757440\", alpha=\"0.17\", expect_size=\"8702976\"] \n  44 [size=\"24829440\", alpha=\"0.08\", expect_size=\"9931776\"] \n  45 [size=\"118062080\", alpha=\"0.11\", expect_size=\"47224832\"] \n  45 -> 50 [size =\"47224832\"]\n  46 [size=\"99793920\", alpha=\"0.18\", expect_size=\"39917568\"] \n  46 -> 50 [size =\"39917568\"]\n  47 [size=\"28456960\", alpha=\"0.02\", expect_size=\"11382784\"] \n  48 [size=\"24350720\", alpha=\"0.01\", expect_size=\"9740288\"] \n  49 [size=\"44418560\", alpha=\"0.07\", expect_size=\"17767424\"] \n  50 [size=\"89920000\", alpha=\"0.10\", expect_size=\"35968000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91271168\", alpha=\"0.10\", expect_size=\"45635584\"] \n  1 -> 2 [size =\"45635584\"]\n  2 [size=\"12761088\", alpha=\"0.03\", expect_size=\"6380544\"] \n  2 -> 3 [size =\"6380544\"]\n  3 [size=\"38012928\", alpha=\"0.11\", expect_size=\"19006464\"] \n  3 -> 4 [size =\"19006464\"]\n  4 [size=\"89286656\", alpha=\"0.00\", expect_size=\"44643328\"] \n  4 -> 5 [size =\"44643328\"]\n  5 [size=\"97497088\", alpha=\"0.16\", expect_size=\"48748544\"] \n  5 -> 6 [size =\"48748544\"]\n  6 [size=\"24809472\", alpha=\"0.18\", expect_size=\"12404736\"] \n  6 -> 7 [size =\"12404736\"]\n  7 [size=\"84525056\", alpha=\"0.18\", expect_size=\"42262528\"] \n  7 -> 8 [size =\"42262528\"]\n  8 [size=\"103342080\", alpha=\"0.01\", expect_size=\"51671040\"] \n  8 -> 9 [size =\"51671040\"]\n  9 [size=\"91342848\", alpha=\"0.06\", expect_size=\"45671424\"] \n  9 -> 10 [size =\"45671424\"]\n  10 [size=\"14553088\", alpha=\"0.17\", expect_size=\"7276544\"] \n  10 -> 11 [size =\"7276544\"]\n  11 [size=\"65529856\", alpha=\"0.14\", expect_size=\"32764928\"] \n  11 -> 12 [size =\"32764928\"]\n  12 [size=\"19789824\", alpha=\"0.11\", expect_size=\"9894912\"] \n  12 -> 13 [size =\"9894912\"]\n  13 [size=\"32808960\", alpha=\"0.08\", expect_size=\"16404480\"] \n  13 -> 14 [size =\"16404480\"]\n  14 [size=\"82563072\", alpha=\"0.03\", expect_size=\"41281536\"] \n  14 -> 15 [size =\"41281536\"]\n  15 [size=\"82898944\", alpha=\"0.09\", expect_size=\"41449472\"] \n  15 -> 16 [size =\"41449472\"]\n  16 [size=\"62834688\", alpha=\"0.10\", expect_size=\"31417344\"] \n  16 -> 17 [size =\"31417344\"]\n  17 [size=\"55242752\", alpha=\"0.17\", expect_size=\"27621376\"] \n  17 -> 18 [size =\"27621376\"]\n  18 [size=\"47069184\", alpha=\"0.10\", expect_size=\"23534592\"] \n  18 -> 19 [size =\"23534592\"]\n  19 [size=\"53794816\", alpha=\"0.11\", expect_size=\"26897408\"] \n  19 -> 20 [size =\"26897408\"]\n  20 [size=\"79974400\", alpha=\"0.18\", expect_size=\"39987200\"] \n  20 -> 21 [size =\"39987200\"]\n  21 [size=\"65538048\", alpha=\"0.02\", expect_size=\"32769024\"] \n  21 -> 22 [size =\"32769024\"]\n  22 [size=\"38350848\", alpha=\"0.06\", expect_size=\"19175424\"] \n  22 -> 23 [size =\"19175424\"]\n  23 [size=\"92221440\", alpha=\"0.16\", expect_size=\"46110720\"] \n  23 -> 24 [size =\"46110720\"]\n  24 [size=\"34662400\", alpha=\"0.03\", expect_size=\"17331200\"] \n  24 -> 25 [size =\"17331200\"]\n  25 [size=\"46827520\", alpha=\"0.08\", expect_size=\"23413760\"] \n  25 -> 26 [size =\"23413760\"]\n  26 [size=\"88483840\", alpha=\"0.17\", expect_size=\"44241920\"] \n  26 -> 27 [size =\"44241920\"]\n  27 [size=\"42874880\", alpha=\"0.01\", expect_size=\"21437440\"] \n  27 -> 28 [size =\"21437440\"]\n  28 [size=\"26800128\", alpha=\"0.05\", expect_size=\"13400064\"] \n  28 -> 29 [size =\"13400064\"]\n  29 [size=\"73353216\", alpha=\"0.06\", expect_size=\"36676608\"] \n  29 -> 30 [size =\"36676608\"]\n  30 [size=\"30785536\", alpha=\"0.07\", expect_size=\"15392768\"] \n  30 -> 31 [size =\"15392768\"]\n  31 [size=\"20142080\", alpha=\"0.01\", expect_size=\"10071040\"] \n  31 -> 32 [size =\"10071040\"]\n  32 [size=\"27834368\", alpha=\"0.16\", expect_size=\"13917184\"] \n  32 -> 33 [size =\"13917184\"]\n  33 [size=\"56141824\", alpha=\"0.16\", expect_size=\"28070912\"] \n  33 -> 34 [size =\"28070912\"]\n  34 [size=\"38221824\", alpha=\"0.12\", expect_size=\"19110912\"] \n  34 -> 35 [size =\"19110912\"]\n  35 [size=\"52877312\", alpha=\"0.02\", expect_size=\"26438656\"] \n  35 -> 36 [size =\"26438656\"]\n  36 [size=\"92747776\", alpha=\"0.04\", expect_size=\"46373888\"] \n  36 -> 37 [size =\"46373888\"]\n  37 [size=\"77785088\", alpha=\"0.15\", expect_size=\"38892544\"] \n  37 -> 38 [size =\"38892544\"]\n  38 [size=\"82034688\", alpha=\"0.15\", expect_size=\"41017344\"] \n  38 -> 39 [size =\"41017344\"]\n  39 [size=\"103976960\", alpha=\"0.03\", expect_size=\"51988480\"] \n  39 -> 40 [size =\"51988480\"]\n  40 [size=\"35729408\", alpha=\"0.06\", expect_size=\"17864704\"] \n  40 -> 41 [size =\"17864704\"]\n  41 [size=\"70100992\", alpha=\"0.00\", expect_size=\"35050496\"] \n  41 -> 42 [size =\"35050496\"]\n  42 [size=\"73392128\", alpha=\"0.01\", expect_size=\"36696064\"] \n  42 -> 43 [size =\"36696064\"]\n  43 [size=\"54910976\", alpha=\"0.19\", expect_size=\"27455488\"] \n  43 -> 44 [size =\"27455488\"]\n  44 [size=\"36982784\", alpha=\"0.02\", expect_size=\"18491392\"] \n  44 -> 45 [size =\"18491392\"]\n  45 [size=\"91682816\", alpha=\"0.13\", expect_size=\"45841408\"] \n  45 -> 46 [size =\"45841408\"]\n  46 [size=\"102684672\", alpha=\"0.20\", expect_size=\"51342336\"] \n  46 -> 47 [size =\"51342336\"]\n  47 [size=\"27967488\", alpha=\"0.14\", expect_size=\"13983744\"] \n  47 -> 48 [size =\"13983744\"]\n  48 [size=\"101029888\", alpha=\"0.11\", expect_size=\"50514944\"] \n  48 -> 49 [size =\"50514944\"]\n  49 [size=\"75343872\", alpha=\"0.02\", expect_size=\"37671936\"] \n  49 -> 50 [size =\"37671936\"]\n  50 [size=\"88592384\", alpha=\"0.17\", expect_size=\"44296192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.260.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43642880\", alpha=\"0.04\", expect_size=\"13092864\"] \n  1 -> 2 [size =\"13092864\"]\n  2 [size=\"33437013\", alpha=\"0.05\", expect_size=\"10031104\"] \n  2 -> 3 [size =\"10031104\"]\n  3 [size=\"120541867\", alpha=\"0.11\", expect_size=\"36162560\"] \n  3 -> 4 [size =\"36162560\"]\n  4 [size=\"86708907\", alpha=\"0.18\", expect_size=\"26012672\"] \n  4 -> 5 [size =\"26012672\"]\n  5 [size=\"84712107\", alpha=\"0.08\", expect_size=\"25413632\"] \n  5 -> 6 [size =\"25413632\"]\n  6 [size=\"120169813\", alpha=\"0.11\", expect_size=\"36050944\"] \n  6 -> 7 [size =\"36050944\"]\n  7 [size=\"125754027\", alpha=\"0.04\", expect_size=\"37726208\"] \n  7 -> 8 [size =\"37726208\"]\n  8 [size=\"58873173\", alpha=\"0.09\", expect_size=\"17661952\"] \n  8 -> 9 [size =\"17661952\"]\n  9 [size=\"86794240\", alpha=\"0.16\", expect_size=\"26038272\"] \n  9 -> 10 [size =\"26038272\"]\n  10 [size=\"79755947\", alpha=\"0.05\", expect_size=\"23926784\"] \n  10 -> 11 [size =\"23926784\"]\n  11 [size=\"87562240\", alpha=\"0.04\", expect_size=\"26268672\"] \n  11 -> 12 [size =\"26268672\"]\n  12 [size=\"116889600\", alpha=\"0.16\", expect_size=\"35066880\"] \n  12 -> 13 [size =\"35066880\"]\n  13 [size=\"158696107\", alpha=\"0.08\", expect_size=\"47608832\"] \n  13 -> 14 [size =\"47608832\"]\n  14 [size=\"86094507\", alpha=\"0.12\", expect_size=\"25828352\"] \n  14 -> 15 [size =\"25828352\"]\n  15 [size=\"70512640\", alpha=\"0.10\", expect_size=\"21153792\"] \n  15 -> 16 [size =\"21153792\"]\n  16 [size=\"137113600\", alpha=\"0.03\", expect_size=\"41134080\"] \n  16 -> 17 [size =\"41134080\"]\n  17 [size=\"62624427\", alpha=\"0.06\", expect_size=\"18787328\"] \n  17 -> 18 [size =\"18787328\"]\n  18 [size=\"92252160\", alpha=\"0.01\", expect_size=\"27675648\"] \n  18 -> 19 [size =\"27675648\"]\n  19 [size=\"161215147\", alpha=\"0.16\", expect_size=\"48364544\"] \n  19 -> 20 [size =\"48364544\"]\n  20 [size=\"127610880\", alpha=\"0.16\", expect_size=\"38283264\"] \n  20 -> 21 [size =\"38283264\"]\n  21 [size=\"166608213\", alpha=\"0.18\", expect_size=\"49982464\"] \n  21 -> 22 [size =\"49982464\"]\n  22 [size=\"37495467\", alpha=\"0.03\", expect_size=\"11248640\"] \n  22 -> 23 [size =\"11248640\"]\n  23 [size=\"162822827\", alpha=\"0.00\", expect_size=\"48846848\"] \n  23 -> 24 [size =\"48846848\"]\n  24 [size=\"70219093\", alpha=\"0.07\", expect_size=\"21065728\"] \n  24 -> 25 [size =\"21065728\"]\n  25 [size=\"165669547\", alpha=\"0.02\", expect_size=\"49700864\"] \n  25 -> 26 [size =\"49700864\"]\n  26 [size=\"88623787\", alpha=\"0.10\", expect_size=\"26587136\"] \n  26 -> 27 [size =\"26587136\"]\n  27 [size=\"115810987\", alpha=\"0.11\", expect_size=\"34743296\"] \n  27 -> 28 [size =\"34743296\"]\n  28 [size=\"166560427\", alpha=\"0.18\", expect_size=\"49968128\"] \n  28 -> 29 [size =\"49968128\"]\n  29 [size=\"173520213\", alpha=\"0.14\", expect_size=\"52056064\"] \n  29 -> 30 [size =\"52056064\"]\n  30 [size=\"145599147\", alpha=\"0.18\", expect_size=\"43679744\"] \n  30 -> 31 [size =\"43679744\"]\n  31 [size=\"111015253\", alpha=\"0.11\", expect_size=\"33304576\"] \n  31 -> 32 [size =\"33304576\"]\n  32 [size=\"95938560\", alpha=\"0.16\", expect_size=\"28781568\"] \n  32 -> 33 [size =\"28781568\"]\n  33 [size=\"116329813\", alpha=\"0.20\", expect_size=\"34898944\"] \n  33 -> 34 [size =\"34898944\"]\n  34 [size=\"117968213\", alpha=\"0.12\", expect_size=\"35390464\"] \n  34 -> 35 [size =\"35390464\"]\n  35 [size=\"170086400\", alpha=\"0.10\", expect_size=\"51025920\"] \n  35 -> 36 [size =\"51025920\"]\n  36 [size=\"25354240\", alpha=\"0.04\", expect_size=\"7606272\"] \n  36 -> 37 [size =\"7606272\"]\n  37 [size=\"101038080\", alpha=\"0.04\", expect_size=\"30311424\"] \n  37 -> 38 [size =\"30311424\"]\n  38 [size=\"33559893\", alpha=\"0.13\", expect_size=\"10067968\"] \n  38 -> 39 [size =\"10067968\"]\n  39 [size=\"21602987\", alpha=\"0.01\", expect_size=\"6480896\"] \n  39 -> 40 [size =\"6480896\"]\n  40 [size=\"134485333\", alpha=\"0.02\", expect_size=\"40345600\"] \n  40 -> 41 [size =\"40345600\"]\n  41 [size=\"119917227\", alpha=\"0.03\", expect_size=\"35975168\"] \n  41 -> 42 [size =\"35975168\"]\n  42 [size=\"47984640\", alpha=\"0.06\", expect_size=\"14395392\"] \n  42 -> 43 [size =\"14395392\"]\n  43 [size=\"18104320\", alpha=\"0.07\", expect_size=\"5431296\"] \n  43 -> 44 [size =\"5431296\"]\n  44 [size=\"171499520\", alpha=\"0.16\", expect_size=\"51449856\"] \n  44 -> 45 [size =\"51449856\"]\n  45 [size=\"104925867\", alpha=\"0.03\", expect_size=\"31477760\"] \n  45 -> 46 [size =\"31477760\"]\n  46 [size=\"28706133\", alpha=\"0.19\", expect_size=\"8611840\"] \n  46 -> 47 [size =\"8611840\"]\n  47 [size=\"62484480\", alpha=\"0.07\", expect_size=\"18745344\"] \n  47 -> 48 [size =\"18745344\"]\n  48 [size=\"94119253\", alpha=\"0.15\", expect_size=\"28235776\"] \n  48 -> 49 [size =\"28235776\"]\n  49 [size=\"41103360\", alpha=\"0.02\", expect_size=\"12331008\"] \n  49 -> 50 [size =\"12331008\"]\n  50 [size=\"47179093\", alpha=\"0.06\", expect_size=\"14153728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.261.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97083392\", alpha=\"0.01\", expect_size=\"48541696\"] \n  1 -> 14 [size =\"48541696\"]\n  1 -> 18 [size =\"48541696\"]\n  1 -> 19 [size =\"48541696\"]\n  1 -> 22 [size =\"48541696\"]\n  1 -> 25 [size =\"48541696\"]\n  2 [size=\"40214528\", alpha=\"0.04\", expect_size=\"20107264\"] \n  3 [size=\"67121152\", alpha=\"0.18\", expect_size=\"33560576\"] \n  3 -> 15 [size =\"33560576\"]\n  3 -> 17 [size =\"33560576\"]\n  3 -> 18 [size =\"33560576\"]\n  4 [size=\"65622016\", alpha=\"0.04\", expect_size=\"32811008\"] \n  4 -> 15 [size =\"32811008\"]\n  4 -> 16 [size =\"32811008\"]\n  4 -> 18 [size =\"32811008\"]\n  4 -> 20 [size =\"32811008\"]\n  4 -> 21 [size =\"32811008\"]\n  4 -> 22 [size =\"32811008\"]\n  4 -> 24 [size =\"32811008\"]\n  4 -> 27 [size =\"32811008\"]\n  5 [size=\"103034880\", alpha=\"0.20\", expect_size=\"51517440\"] \n  5 -> 23 [size =\"51517440\"]\n  6 [size=\"86384640\", alpha=\"0.15\", expect_size=\"43192320\"] \n  6 -> 16 [size =\"43192320\"]\n  6 -> 19 [size =\"43192320\"]\n  6 -> 25 [size =\"43192320\"]\n  6 -> 26 [size =\"43192320\"]\n  7 [size=\"89092096\", alpha=\"0.01\", expect_size=\"44546048\"] \n  7 -> 18 [size =\"44546048\"]\n  7 -> 25 [size =\"44546048\"]\n  7 -> 26 [size =\"44546048\"]\n  8 [size=\"57948160\", alpha=\"0.13\", expect_size=\"28974080\"] \n  8 -> 14 [size =\"28974080\"]\n  8 -> 16 [size =\"28974080\"]\n  8 -> 17 [size =\"28974080\"]\n  8 -> 22 [size =\"28974080\"]\n  9 [size=\"53757952\", alpha=\"0.02\", expect_size=\"26878976\"] \n  9 -> 16 [size =\"26878976\"]\n  9 -> 19 [size =\"26878976\"]\n  9 -> 22 [size =\"26878976\"]\n  9 -> 22 [size =\"26878976\"]\n  10 [size=\"93089792\", alpha=\"0.17\", expect_size=\"46544896\"] \n  10 -> 19 [size =\"46544896\"]\n  11 [size=\"34160640\", alpha=\"0.17\", expect_size=\"17080320\"] \n  11 -> 19 [size =\"17080320\"]\n  11 -> 22 [size =\"17080320\"]\n  12 [size=\"36890624\", alpha=\"0.01\", expect_size=\"18445312\"] \n  12 -> 14 [size =\"18445312\"]\n  12 -> 15 [size =\"18445312\"]\n  12 -> 16 [size =\"18445312\"]\n  12 -> 18 [size =\"18445312\"]\n  12 -> 21 [size =\"18445312\"]\n  12 -> 25 [size =\"18445312\"]\n  12 -> 27 [size =\"18445312\"]\n  13 [size=\"56231936\", alpha=\"0.19\", expect_size=\"28115968\"] \n  13 -> 14 [size =\"28115968\"]\n  13 -> 16 [size =\"28115968\"]\n  13 -> 18 [size =\"28115968\"]\n  13 -> 19 [size =\"28115968\"]\n  13 -> 20 [size =\"28115968\"]\n  13 -> 25 [size =\"28115968\"]\n  13 -> 26 [size =\"28115968\"]\n  14 [size=\"46899200\", alpha=\"0.11\", expect_size=\"23449600\"] \n  14 -> 42 [size =\"23449600\"]\n  14 -> 44 [size =\"23449600\"]\n  14 -> 45 [size =\"23449600\"]\n  15 [size=\"65040384\", alpha=\"0.13\", expect_size=\"32520192\"] \n  15 -> 32 [size =\"32520192\"]\n  15 -> 34 [size =\"32520192\"]\n  15 -> 38 [size =\"32520192\"]\n  15 -> 40 [size =\"32520192\"]\n  16 [size=\"62726144\", alpha=\"0.06\", expect_size=\"31363072\"] \n  16 -> 34 [size =\"31363072\"]\n  17 [size=\"38121472\", alpha=\"0.04\", expect_size=\"19060736\"] \n  17 -> 30 [size =\"19060736\"]\n  17 -> 32 [size =\"19060736\"]\n  17 -> 42 [size =\"19060736\"]\n  17 -> 45 [size =\"19060736\"]\n  18 [size=\"41125888\", alpha=\"0.12\", expect_size=\"20562944\"] \n  18 -> 33 [size =\"20562944\"]\n  18 -> 35 [size =\"20562944\"]\n  18 -> 40 [size =\"20562944\"]\n  18 -> 43 [size =\"20562944\"]\n  18 -> 44 [size =\"20562944\"]\n  19 [size=\"103038976\", alpha=\"0.06\", expect_size=\"51519488\"] \n  19 -> 32 [size =\"51519488\"]\n  19 -> 33 [size =\"51519488\"]\n  19 -> 35 [size =\"51519488\"]\n  19 -> 43 [size =\"51519488\"]\n  19 -> 45 [size =\"51519488\"]\n  20 [size=\"16793600\", alpha=\"0.09\", expect_size=\"8396800\"] \n  20 -> 28 [size =\"8396800\"]\n  20 -> 32 [size =\"8396800\"]\n  20 -> 39 [size =\"8396800\"]\n  20 -> 41 [size =\"8396800\"]\n  20 -> 45 [size =\"8396800\"]\n  21 [size=\"97032192\", alpha=\"0.11\", expect_size=\"48516096\"] \n  21 -> 29 [size =\"48516096\"]\n  21 -> 31 [size =\"48516096\"]\n  21 -> 40 [size =\"48516096\"]\n  21 -> 43 [size =\"48516096\"]\n  22 [size=\"84860928\", alpha=\"0.19\", expect_size=\"42430464\"] \n  22 -> 40 [size =\"42430464\"]\n  23 [size=\"88588288\", alpha=\"0.18\", expect_size=\"44294144\"] \n  23 -> 33 [size =\"44294144\"]\n  23 -> 34 [size =\"44294144\"]\n  23 -> 43 [size =\"44294144\"]\n  23 -> 44 [size =\"44294144\"]\n  24 [size=\"83830784\", alpha=\"0.10\", expect_size=\"41915392\"] \n  24 -> 31 [size =\"41915392\"]\n  24 -> 33 [size =\"41915392\"]\n  24 -> 43 [size =\"41915392\"]\n  25 [size=\"39333888\", alpha=\"0.01\", expect_size=\"19666944\"] \n  25 -> 28 [size =\"19666944\"]\n  25 -> 31 [size =\"19666944\"]\n  25 -> 44 [size =\"19666944\"]\n  25 -> 45 [size =\"19666944\"]\n  26 [size=\"102383616\", alpha=\"0.08\", expect_size=\"51191808\"] \n  26 -> 33 [size =\"51191808\"]\n  26 -> 34 [size =\"51191808\"]\n  26 -> 35 [size =\"51191808\"]\n  26 -> 44 [size =\"51191808\"]\n  27 [size=\"34363392\", alpha=\"0.12\", expect_size=\"17181696\"] \n  27 -> 32 [size =\"17181696\"]\n  27 -> 33 [size =\"17181696\"]\n  27 -> 36 [size =\"17181696\"]\n  27 -> 37 [size =\"17181696\"]\n  27 -> 40 [size =\"17181696\"]\n  27 -> 44 [size =\"17181696\"]\n  28 [size=\"53606400\", alpha=\"0.05\", expect_size=\"26803200\"] \n  28 -> 48 [size =\"26803200\"]\n  28 -> 49 [size =\"26803200\"]\n  28 -> 50 [size =\"26803200\"]\n  29 [size=\"17293312\", alpha=\"0.08\", expect_size=\"8646656\"] \n  29 -> 49 [size =\"8646656\"]\n  29 -> 50 [size =\"8646656\"]\n  30 [size=\"47273984\", alpha=\"0.09\", expect_size=\"23636992\"] \n  30 -> 46 [size =\"23636992\"]\n  31 [size=\"91736064\", alpha=\"0.14\", expect_size=\"45868032\"] \n  31 -> 48 [size =\"45868032\"]\n  32 [size=\"48533504\", alpha=\"0.06\", expect_size=\"24266752\"] \n  33 [size=\"41768960\", alpha=\"0.06\", expect_size=\"20884480\"] \n  33 -> 48 [size =\"20884480\"]\n  33 -> 49 [size =\"20884480\"]\n  33 -> 50 [size =\"20884480\"]\n  34 [size=\"33710080\", alpha=\"0.15\", expect_size=\"16855040\"] \n  34 -> 48 [size =\"16855040\"]\n  34 -> 50 [size =\"16855040\"]\n  35 [size=\"79491072\", alpha=\"0.15\", expect_size=\"39745536\"] \n  35 -> 49 [size =\"39745536\"]\n  36 [size=\"82919424\", alpha=\"0.06\", expect_size=\"41459712\"] \n  36 -> 50 [size =\"41459712\"]\n  37 [size=\"25524224\", alpha=\"0.03\", expect_size=\"12762112\"] \n  37 -> 48 [size =\"12762112\"]\n  37 -> 49 [size =\"12762112\"]\n  38 [size=\"80285696\", alpha=\"0.07\", expect_size=\"40142848\"] \n  38 -> 48 [size =\"40142848\"]\n  39 [size=\"11550720\", alpha=\"0.10\", expect_size=\"5775360\"] \n  39 -> 50 [size =\"5775360\"]\n  40 [size=\"51335168\", alpha=\"0.14\", expect_size=\"25667584\"] \n  40 -> 50 [size =\"25667584\"]\n  41 [size=\"93503488\", alpha=\"0.17\", expect_size=\"46751744\"] \n  41 -> 47 [size =\"46751744\"]\n  42 [size=\"67356672\", alpha=\"0.16\", expect_size=\"33678336\"] \n  42 -> 48 [size =\"33678336\"]\n  43 [size=\"93675520\", alpha=\"0.11\", expect_size=\"46837760\"] \n  43 -> 48 [size =\"46837760\"]\n  44 [size=\"29460480\", alpha=\"0.01\", expect_size=\"14730240\"] \n  44 -> 48 [size =\"14730240\"]\n  44 -> 49 [size =\"14730240\"]\n  45 [size=\"99874816\", alpha=\"0.18\", expect_size=\"49937408\"] \n  45 -> 49 [size =\"49937408\"]\n  45 -> 50 [size =\"49937408\"]\n  46 [size=\"76353536\", alpha=\"0.15\", expect_size=\"38176768\"] \n  47 [size=\"11141120\", alpha=\"0.16\", expect_size=\"5570560\"] \n  48 [size=\"26243072\", alpha=\"0.06\", expect_size=\"13121536\"] \n  49 [size=\"57929728\", alpha=\"0.18\", expect_size=\"28964864\"] \n  50 [size=\"104386560\", alpha=\"0.18\", expect_size=\"52193280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.262.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61405867\", alpha=\"0.02\", expect_size=\"18421760\"] \n  1 -> 9 [size =\"18421760\"]\n  1 -> 10 [size =\"18421760\"]\n  1 -> 12 [size =\"18421760\"]\n  1 -> 13 [size =\"18421760\"]\n  2 [size=\"132891307\", alpha=\"0.14\", expect_size=\"39867392\"] \n  2 -> 9 [size =\"39867392\"]\n  2 -> 10 [size =\"39867392\"]\n  2 -> 11 [size =\"39867392\"]\n  2 -> 12 [size =\"39867392\"]\n  3 [size=\"27241813\", alpha=\"0.17\", expect_size=\"8172544\"] \n  3 -> 8 [size =\"8172544\"]\n  3 -> 9 [size =\"8172544\"]\n  3 -> 12 [size =\"8172544\"]\n  4 [size=\"122576213\", alpha=\"0.03\", expect_size=\"36772864\"] \n  4 -> 9 [size =\"36772864\"]\n  4 -> 10 [size =\"36772864\"]\n  4 -> 13 [size =\"36772864\"]\n  5 [size=\"136400213\", alpha=\"0.15\", expect_size=\"40920064\"] \n  5 -> 11 [size =\"40920064\"]\n  5 -> 13 [size =\"40920064\"]\n  5 -> 13 [size =\"40920064\"]\n  6 [size=\"122449920\", alpha=\"0.09\", expect_size=\"36734976\"] \n  6 -> 8 [size =\"36734976\"]\n  6 -> 9 [size =\"36734976\"]\n  6 -> 10 [size =\"36734976\"]\n  6 -> 11 [size =\"36734976\"]\n  6 -> 13 [size =\"36734976\"]\n  7 [size=\"148275200\", alpha=\"0.13\", expect_size=\"44482560\"] \n  7 -> 9 [size =\"44482560\"]\n  7 -> 10 [size =\"44482560\"]\n  7 -> 10 [size =\"44482560\"]\n  7 -> 11 [size =\"44482560\"]\n  7 -> 12 [size =\"44482560\"]\n  8 [size=\"69591040\", alpha=\"0.06\", expect_size=\"20877312\"] \n  8 -> 14 [size =\"20877312\"]\n  8 -> 15 [size =\"20877312\"]\n  8 -> 16 [size =\"20877312\"]\n  8 -> 17 [size =\"20877312\"]\n  8 -> 18 [size =\"20877312\"]\n  8 -> 19 [size =\"20877312\"]\n  9 [size=\"113261227\", alpha=\"0.06\", expect_size=\"33978368\"] \n  9 -> 14 [size =\"33978368\"]\n  9 -> 16 [size =\"33978368\"]\n  9 -> 17 [size =\"33978368\"]\n  9 -> 17 [size =\"33978368\"]\n  10 [size=\"158300160\", alpha=\"0.01\", expect_size=\"47490048\"] \n  10 -> 14 [size =\"47490048\"]\n  10 -> 16 [size =\"47490048\"]\n  10 -> 18 [size =\"47490048\"]\n  11 [size=\"143503360\", alpha=\"0.08\", expect_size=\"43051008\"] \n  11 -> 14 [size =\"43051008\"]\n  11 -> 15 [size =\"43051008\"]\n  11 -> 16 [size =\"43051008\"]\n  11 -> 17 [size =\"43051008\"]\n  11 -> 18 [size =\"43051008\"]\n  11 -> 19 [size =\"43051008\"]\n  12 [size=\"162396160\", alpha=\"0.03\", expect_size=\"48718848\"] \n  12 -> 14 [size =\"48718848\"]\n  12 -> 15 [size =\"48718848\"]\n  12 -> 17 [size =\"48718848\"]\n  12 -> 18 [size =\"48718848\"]\n  13 [size=\"113496747\", alpha=\"0.05\", expect_size=\"34049024\"] \n  13 -> 14 [size =\"34049024\"]\n  13 -> 15 [size =\"34049024\"]\n  13 -> 16 [size =\"34049024\"]\n  13 -> 17 [size =\"34049024\"]\n  13 -> 18 [size =\"34049024\"]\n  14 [size=\"89197227\", alpha=\"0.02\", expect_size=\"26759168\"] \n  14 -> 20 [size =\"26759168\"]\n  14 -> 21 [size =\"26759168\"]\n  14 -> 23 [size =\"26759168\"]\n  15 [size=\"109626027\", alpha=\"0.09\", expect_size=\"32887808\"] \n  15 -> 20 [size =\"32887808\"]\n  15 -> 23 [size =\"32887808\"]\n  16 [size=\"68874240\", alpha=\"0.09\", expect_size=\"20662272\"] \n  16 -> 22 [size =\"20662272\"]\n  16 -> 23 [size =\"20662272\"]\n  17 [size=\"141905920\", alpha=\"0.20\", expect_size=\"42571776\"] \n  17 -> 22 [size =\"42571776\"]\n  17 -> 23 [size =\"42571776\"]\n  18 [size=\"86353920\", alpha=\"0.16\", expect_size=\"25906176\"] \n  18 -> 21 [size =\"25906176\"]\n  18 -> 22 [size =\"25906176\"]\n  18 -> 23 [size =\"25906176\"]\n  19 [size=\"130515627\", alpha=\"0.20\", expect_size=\"39154688\"] \n  19 -> 20 [size =\"39154688\"]\n  19 -> 21 [size =\"39154688\"]\n  19 -> 22 [size =\"39154688\"]\n  19 -> 23 [size =\"39154688\"]\n  20 [size=\"19947520\", alpha=\"0.13\", expect_size=\"5984256\"] \n  20 -> 24 [size =\"5984256\"]\n  20 -> 26 [size =\"5984256\"]\n  20 -> 27 [size =\"5984256\"]\n  20 -> 29 [size =\"5984256\"]\n  21 [size=\"27569493\", alpha=\"0.11\", expect_size=\"8270848\"] \n  21 -> 24 [size =\"8270848\"]\n  21 -> 26 [size =\"8270848\"]\n  21 -> 27 [size =\"8270848\"]\n  21 -> 28 [size =\"8270848\"]\n  22 [size=\"94136320\", alpha=\"0.05\", expect_size=\"28240896\"] \n  22 -> 24 [size =\"28240896\"]\n  22 -> 25 [size =\"28240896\"]\n  22 -> 26 [size =\"28240896\"]\n  22 -> 27 [size =\"28240896\"]\n  22 -> 28 [size =\"28240896\"]\n  22 -> 29 [size =\"28240896\"]\n  23 [size=\"114179413\", alpha=\"0.19\", expect_size=\"34253824\"] \n  23 -> 26 [size =\"34253824\"]\n  23 -> 27 [size =\"34253824\"]\n  23 -> 29 [size =\"34253824\"]\n  24 [size=\"151828480\", alpha=\"0.07\", expect_size=\"45548544\"] \n  24 -> 31 [size =\"45548544\"]\n  24 -> 33 [size =\"45548544\"]\n  24 -> 34 [size =\"45548544\"]\n  25 [size=\"167840427\", alpha=\"0.10\", expect_size=\"50352128\"] \n  25 -> 35 [size =\"50352128\"]\n  26 [size=\"81343147\", alpha=\"0.06\", expect_size=\"24402944\"] \n  26 -> 32 [size =\"24402944\"]\n  26 -> 34 [size =\"24402944\"]\n  26 -> 35 [size =\"24402944\"]\n  27 [size=\"150801067\", alpha=\"0.19\", expect_size=\"45240320\"] \n  27 -> 30 [size =\"45240320\"]\n  27 -> 35 [size =\"45240320\"]\n  28 [size=\"149094400\", alpha=\"0.19\", expect_size=\"44728320\"] \n  28 -> 30 [size =\"44728320\"]\n  28 -> 31 [size =\"44728320\"]\n  28 -> 35 [size =\"44728320\"]\n  29 [size=\"118845440\", alpha=\"0.11\", expect_size=\"35653632\"] \n  29 -> 30 [size =\"35653632\"]\n  29 -> 34 [size =\"35653632\"]\n  29 -> 35 [size =\"35653632\"]\n  30 [size=\"118135467\", alpha=\"0.01\", expect_size=\"35440640\"] \n  30 -> 36 [size =\"35440640\"]\n  30 -> 37 [size =\"35440640\"]\n  30 -> 38 [size =\"35440640\"]\n  30 -> 41 [size =\"35440640\"]\n  30 -> 42 [size =\"35440640\"]\n  30 -> 43 [size =\"35440640\"]\n  31 [size=\"62392320\", alpha=\"0.06\", expect_size=\"18717696\"] \n  31 -> 37 [size =\"18717696\"]\n  31 -> 40 [size =\"18717696\"]\n  31 -> 41 [size =\"18717696\"]\n  31 -> 41 [size =\"18717696\"]\n  31 -> 43 [size =\"18717696\"]\n  32 [size=\"152828587\", alpha=\"0.10\", expect_size=\"45848576\"] \n  32 -> 37 [size =\"45848576\"]\n  32 -> 40 [size =\"45848576\"]\n  33 [size=\"33006933\", alpha=\"0.07\", expect_size=\"9902080\"] \n  33 -> 37 [size =\"9902080\"]\n  33 -> 40 [size =\"9902080\"]\n  33 -> 41 [size =\"9902080\"]\n  33 -> 43 [size =\"9902080\"]\n  34 [size=\"27262293\", alpha=\"0.12\", expect_size=\"8178688\"] \n  34 -> 37 [size =\"8178688\"]\n  34 -> 38 [size =\"8178688\"]\n  34 -> 39 [size =\"8178688\"]\n  34 -> 42 [size =\"8178688\"]\n  35 [size=\"83411627\", alpha=\"0.09\", expect_size=\"25023488\"] \n  35 -> 38 [size =\"25023488\"]\n  35 -> 41 [size =\"25023488\"]\n  35 -> 42 [size =\"25023488\"]\n  36 [size=\"163095893\", alpha=\"0.13\", expect_size=\"48928768\"] \n  36 -> 49 [size =\"48928768\"]\n  36 -> 50 [size =\"48928768\"]\n  37 [size=\"56712533\", alpha=\"0.13\", expect_size=\"17013760\"] \n  37 -> 44 [size =\"17013760\"]\n  37 -> 46 [size =\"17013760\"]\n  37 -> 48 [size =\"17013760\"]\n  37 -> 50 [size =\"17013760\"]\n  38 [size=\"52357120\", alpha=\"0.01\", expect_size=\"15707136\"] \n  38 -> 44 [size =\"15707136\"]\n  38 -> 47 [size =\"15707136\"]\n  38 -> 48 [size =\"15707136\"]\n  38 -> 49 [size =\"15707136\"]\n  38 -> 50 [size =\"15707136\"]\n  39 [size=\"44854613\", alpha=\"0.04\", expect_size=\"13456384\"] \n  39 -> 44 [size =\"13456384\"]\n  39 -> 45 [size =\"13456384\"]\n  39 -> 46 [size =\"13456384\"]\n  39 -> 48 [size =\"13456384\"]\n  39 -> 49 [size =\"13456384\"]\n  39 -> 50 [size =\"13456384\"]\n  40 [size=\"129989973\", alpha=\"0.07\", expect_size=\"38996992\"] \n  40 -> 44 [size =\"38996992\"]\n  40 -> 45 [size =\"38996992\"]\n  40 -> 46 [size =\"38996992\"]\n  40 -> 49 [size =\"38996992\"]\n  40 -> 49 [size =\"38996992\"]\n  41 [size=\"134017707\", alpha=\"0.11\", expect_size=\"40205312\"] \n  41 -> 44 [size =\"40205312\"]\n  41 -> 46 [size =\"40205312\"]\n  41 -> 47 [size =\"40205312\"]\n  41 -> 48 [size =\"40205312\"]\n  41 -> 49 [size =\"40205312\"]\n  42 [size=\"25681920\", alpha=\"0.05\", expect_size=\"7704576\"] \n  42 -> 44 [size =\"7704576\"]\n  42 -> 45 [size =\"7704576\"]\n  42 -> 46 [size =\"7704576\"]\n  42 -> 49 [size =\"7704576\"]\n  43 [size=\"107188907\", alpha=\"0.11\", expect_size=\"32156672\"] \n  43 -> 45 [size =\"32156672\"]\n  43 -> 49 [size =\"32156672\"]\n  43 -> 50 [size =\"32156672\"]\n  44 [size=\"159989760\", alpha=\"0.15\", expect_size=\"47996928\"] \n  45 [size=\"98525867\", alpha=\"0.17\", expect_size=\"29557760\"] \n  46 [size=\"172229973\", alpha=\"0.08\", expect_size=\"51668992\"] \n  47 [size=\"117930667\", alpha=\"0.15\", expect_size=\"35379200\"] \n  48 [size=\"60057600\", alpha=\"0.20\", expect_size=\"18017280\"] \n  49 [size=\"67495253\", alpha=\"0.17\", expect_size=\"20248576\"] \n  50 [size=\"95996587\", alpha=\"0.07\", expect_size=\"28798976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.263.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90752000\", alpha=\"0.20\", expect_size=\"36300800\"] \n  1 -> 19 [size =\"36300800\"]\n  1 -> 23 [size =\"36300800\"]\n  1 -> 24 [size =\"36300800\"]\n  2 [size=\"72148480\", alpha=\"0.01\", expect_size=\"28859392\"] \n  3 [size=\"30149120\", alpha=\"0.10\", expect_size=\"12059648\"] \n  3 -> 14 [size =\"12059648\"]\n  3 -> 17 [size =\"12059648\"]\n  3 -> 21 [size =\"12059648\"]\n  3 -> 23 [size =\"12059648\"]\n  4 [size=\"107379200\", alpha=\"0.01\", expect_size=\"42951680\"] \n  4 -> 14 [size =\"42951680\"]\n  4 -> 15 [size =\"42951680\"]\n  4 -> 19 [size =\"42951680\"]\n  4 -> 21 [size =\"42951680\"]\n  5 [size=\"38648320\", alpha=\"0.15\", expect_size=\"15459328\"] \n  5 -> 16 [size =\"15459328\"]\n  5 -> 21 [size =\"15459328\"]\n  5 -> 22 [size =\"15459328\"]\n  5 -> 23 [size =\"15459328\"]\n  5 -> 24 [size =\"15459328\"]\n  6 [size=\"67717120\", alpha=\"0.09\", expect_size=\"27086848\"] \n  6 -> 14 [size =\"27086848\"]\n  6 -> 16 [size =\"27086848\"]\n  6 -> 19 [size =\"27086848\"]\n  6 -> 21 [size =\"27086848\"]\n  6 -> 24 [size =\"27086848\"]\n  7 [size=\"31723520\", alpha=\"0.09\", expect_size=\"12689408\"] \n  7 -> 14 [size =\"12689408\"]\n  7 -> 16 [size =\"12689408\"]\n  7 -> 21 [size =\"12689408\"]\n  7 -> 23 [size =\"12689408\"]\n  8 [size=\"123576320\", alpha=\"0.19\", expect_size=\"49430528\"] \n  8 -> 14 [size =\"49430528\"]\n  8 -> 19 [size =\"49430528\"]\n  9 [size=\"113152000\", alpha=\"0.11\", expect_size=\"45260800\"] \n  9 -> 14 [size =\"45260800\"]\n  9 -> 17 [size =\"45260800\"]\n  9 -> 19 [size =\"45260800\"]\n  9 -> 23 [size =\"45260800\"]\n  10 [size=\"36933120\", alpha=\"0.01\", expect_size=\"14773248\"] \n  10 -> 21 [size =\"14773248\"]\n  10 -> 24 [size =\"14773248\"]\n  11 [size=\"114821120\", alpha=\"0.19\", expect_size=\"45928448\"] \n  11 -> 14 [size =\"45928448\"]\n  11 -> 21 [size =\"45928448\"]\n  12 [size=\"112225280\", alpha=\"0.07\", expect_size=\"44890112\"] \n  12 -> 15 [size =\"44890112\"]\n  13 [size=\"118069760\", alpha=\"0.08\", expect_size=\"47227904\"] \n  13 -> 18 [size =\"47227904\"]\n  13 -> 20 [size =\"47227904\"]\n  14 [size=\"60656640\", alpha=\"0.09\", expect_size=\"24262656\"] \n  14 -> 32 [size =\"24262656\"]\n  14 -> 34 [size =\"24262656\"]\n  15 [size=\"65254400\", alpha=\"0.03\", expect_size=\"26101760\"] \n  15 -> 25 [size =\"26101760\"]\n  15 -> 27 [size =\"26101760\"]\n  15 -> 35 [size =\"26101760\"]\n  15 -> 36 [size =\"26101760\"]\n  15 -> 37 [size =\"26101760\"]\n  16 [size=\"36733440\", alpha=\"0.12\", expect_size=\"14693376\"] \n  16 -> 27 [size =\"14693376\"]\n  16 -> 28 [size =\"14693376\"]\n  16 -> 30 [size =\"14693376\"]\n  16 -> 34 [size =\"14693376\"]\n  17 [size=\"91934720\", alpha=\"0.10\", expect_size=\"36773888\"] \n  17 -> 25 [size =\"36773888\"]\n  17 -> 28 [size =\"36773888\"]\n  17 -> 32 [size =\"36773888\"]\n  17 -> 33 [size =\"36773888\"]\n  18 [size=\"28728320\", alpha=\"0.05\", expect_size=\"11491328\"] \n  18 -> 25 [size =\"11491328\"]\n  18 -> 35 [size =\"11491328\"]\n  18 -> 38 [size =\"11491328\"]\n  19 [size=\"23367680\", alpha=\"0.15\", expect_size=\"9347072\"] \n  19 -> 27 [size =\"9347072\"]\n  19 -> 28 [size =\"9347072\"]\n  19 -> 31 [size =\"9347072\"]\n  19 -> 34 [size =\"9347072\"]\n  19 -> 35 [size =\"9347072\"]\n  19 -> 38 [size =\"9347072\"]\n  20 [size=\"90567680\", alpha=\"0.07\", expect_size=\"36227072\"] \n  20 -> 26 [size =\"36227072\"]\n  20 -> 29 [size =\"36227072\"]\n  20 -> 33 [size =\"36227072\"]\n  20 -> 35 [size =\"36227072\"]\n  20 -> 36 [size =\"36227072\"]\n  21 [size=\"96202240\", alpha=\"0.11\", expect_size=\"38480896\"] \n  21 -> 26 [size =\"38480896\"]\n  21 -> 27 [size =\"38480896\"]\n  21 -> 28 [size =\"38480896\"]\n  21 -> 29 [size =\"38480896\"]\n  21 -> 34 [size =\"38480896\"]\n  21 -> 35 [size =\"38480896\"]\n  21 -> 37 [size =\"38480896\"]\n  22 [size=\"91002880\", alpha=\"0.06\", expect_size=\"36401152\"] \n  22 -> 25 [size =\"36401152\"]\n  22 -> 31 [size =\"36401152\"]\n  22 -> 33 [size =\"36401152\"]\n  22 -> 38 [size =\"36401152\"]\n  23 [size=\"14471680\", alpha=\"0.04\", expect_size=\"5788672\"] \n  23 -> 29 [size =\"5788672\"]\n  23 -> 31 [size =\"5788672\"]\n  23 -> 38 [size =\"5788672\"]\n  24 [size=\"63400960\", alpha=\"0.18\", expect_size=\"25360384\"] \n  24 -> 25 [size =\"25360384\"]\n  24 -> 26 [size =\"25360384\"]\n  24 -> 29 [size =\"25360384\"]\n  24 -> 32 [size =\"25360384\"]\n  24 -> 35 [size =\"25360384\"]\n  24 -> 37 [size =\"25360384\"]\n  25 [size=\"118510080\", alpha=\"0.16\", expect_size=\"47404032\"] \n  25 -> 39 [size =\"47404032\"]\n  25 -> 41 [size =\"47404032\"]\n  25 -> 44 [size =\"47404032\"]\n  25 -> 45 [size =\"47404032\"]\n  25 -> 49 [size =\"47404032\"]\n  26 [size=\"20879360\", alpha=\"0.03\", expect_size=\"8351744\"] \n  26 -> 39 [size =\"8351744\"]\n  26 -> 41 [size =\"8351744\"]\n  26 -> 45 [size =\"8351744\"]\n  27 [size=\"89679360\", alpha=\"0.13\", expect_size=\"35871744\"] \n  27 -> 41 [size =\"35871744\"]\n  27 -> 45 [size =\"35871744\"]\n  27 -> 46 [size =\"35871744\"]\n  28 [size=\"31260160\", alpha=\"0.03\", expect_size=\"12504064\"] \n  28 -> 39 [size =\"12504064\"]\n  28 -> 46 [size =\"12504064\"]\n  28 -> 46 [size =\"12504064\"]\n  28 -> 47 [size =\"12504064\"]\n  29 [size=\"63119360\", alpha=\"0.09\", expect_size=\"25247744\"] \n  29 -> 40 [size =\"25247744\"]\n  29 -> 46 [size =\"25247744\"]\n  29 -> 49 [size =\"25247744\"]\n  29 -> 50 [size =\"25247744\"]\n  30 [size=\"33146880\", alpha=\"0.19\", expect_size=\"13258752\"] \n  30 -> 39 [size =\"13258752\"]\n  30 -> 42 [size =\"13258752\"]\n  30 -> 44 [size =\"13258752\"]\n  30 -> 46 [size =\"13258752\"]\n  30 -> 48 [size =\"13258752\"]\n  30 -> 50 [size =\"13258752\"]\n  31 [size=\"71928320\", alpha=\"0.06\", expect_size=\"28771328\"] \n  31 -> 39 [size =\"28771328\"]\n  31 -> 44 [size =\"28771328\"]\n  31 -> 50 [size =\"28771328\"]\n  32 [size=\"21178880\", alpha=\"0.11\", expect_size=\"8471552\"] \n  32 -> 40 [size =\"8471552\"]\n  32 -> 41 [size =\"8471552\"]\n  33 [size=\"57902080\", alpha=\"0.13\", expect_size=\"23160832\"] \n  33 -> 41 [size =\"23160832\"]\n  33 -> 41 [size =\"23160832\"]\n  33 -> 45 [size =\"23160832\"]\n  33 -> 49 [size =\"23160832\"]\n  34 [size=\"81182720\", alpha=\"0.03\", expect_size=\"32473088\"] \n  34 -> 39 [size =\"32473088\"]\n  34 -> 46 [size =\"32473088\"]\n  35 [size=\"67322880\", alpha=\"0.02\", expect_size=\"26929152\"] \n  35 -> 39 [size =\"26929152\"]\n  35 -> 45 [size =\"26929152\"]\n  36 [size=\"41871360\", alpha=\"0.05\", expect_size=\"16748544\"] \n  36 -> 49 [size =\"16748544\"]\n  37 [size=\"59438080\", alpha=\"0.01\", expect_size=\"23775232\"] \n  37 -> 40 [size =\"23775232\"]\n  37 -> 44 [size =\"23775232\"]\n  38 [size=\"20672000\", alpha=\"0.20\", expect_size=\"8268800\"] \n  38 -> 40 [size =\"8268800\"]\n  38 -> 41 [size =\"8268800\"]\n  38 -> 43 [size =\"8268800\"]\n  38 -> 45 [size =\"8268800\"]\n  38 -> 49 [size =\"8268800\"]\n  39 [size=\"36044800\", alpha=\"0.01\", expect_size=\"14417920\"] \n  40 [size=\"87641600\", alpha=\"0.14\", expect_size=\"35056640\"] \n  41 [size=\"81320960\", alpha=\"0.02\", expect_size=\"32528384\"] \n  42 [size=\"118796800\", alpha=\"0.03\", expect_size=\"47518720\"] \n  43 [size=\"63262720\", alpha=\"0.05\", expect_size=\"25305088\"] \n  44 [size=\"19678720\", alpha=\"0.15\", expect_size=\"7871488\"] \n  45 [size=\"35599360\", alpha=\"0.02\", expect_size=\"14239744\"] \n  46 [size=\"45204480\", alpha=\"0.11\", expect_size=\"18081792\"] \n  47 [size=\"72125440\", alpha=\"0.13\", expect_size=\"28850176\"] \n  48 [size=\"77227520\", alpha=\"0.19\", expect_size=\"30891008\"] \n  49 [size=\"76129280\", alpha=\"0.12\", expect_size=\"30451712\"] \n  50 [size=\"79098880\", alpha=\"0.09\", expect_size=\"31639552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.264.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77967360\", alpha=\"0.11\", expect_size=\"31186944\"] \n  1 -> 4 [size =\"31186944\"]\n  1 -> 5 [size =\"31186944\"]\n  2 [size=\"31659520\", alpha=\"0.18\", expect_size=\"12663808\"] \n  2 -> 5 [size =\"12663808\"]\n  3 [size=\"34027520\", alpha=\"0.10\", expect_size=\"13611008\"] \n  4 [size=\"24299520\", alpha=\"0.02\", expect_size=\"9719808\"] \n  4 -> 6 [size =\"9719808\"]\n  5 [size=\"75217920\", alpha=\"0.18\", expect_size=\"30087168\"] \n  5 -> 7 [size =\"30087168\"]\n  6 [size=\"78095360\", alpha=\"0.12\", expect_size=\"31238144\"] \n  6 -> 8 [size =\"31238144\"]\n  6 -> 9 [size =\"31238144\"]\n  6 -> 10 [size =\"31238144\"]\n  7 [size=\"88496640\", alpha=\"0.16\", expect_size=\"35398656\"] \n  7 -> 9 [size =\"35398656\"]\n  7 -> 10 [size =\"35398656\"]\n  8 [size=\"48435200\", alpha=\"0.12\", expect_size=\"19374080\"] \n  8 -> 11 [size =\"19374080\"]\n  8 -> 12 [size =\"19374080\"]\n  9 [size=\"95482880\", alpha=\"0.11\", expect_size=\"38193152\"] \n  9 -> 11 [size =\"38193152\"]\n  9 -> 12 [size =\"38193152\"]\n  10 [size=\"45327360\", alpha=\"0.04\", expect_size=\"18130944\"] \n  10 -> 11 [size =\"18130944\"]\n  10 -> 12 [size =\"18130944\"]\n  11 [size=\"19417600\", alpha=\"0.15\", expect_size=\"7767040\"] \n  11 -> 13 [size =\"7767040\"]\n  11 -> 14 [size =\"7767040\"]\n  12 [size=\"84948480\", alpha=\"0.13\", expect_size=\"33979392\"] \n  12 -> 13 [size =\"33979392\"]\n  13 [size=\"71388160\", alpha=\"0.20\", expect_size=\"28555264\"] \n  13 -> 16 [size =\"28555264\"]\n  13 -> 17 [size =\"28555264\"]\n  14 [size=\"14824960\", alpha=\"0.05\", expect_size=\"5929984\"] \n  14 -> 15 [size =\"5929984\"]\n  14 -> 16 [size =\"5929984\"]\n  15 [size=\"25195520\", alpha=\"0.13\", expect_size=\"10078208\"] \n  15 -> 18 [size =\"10078208\"]\n  16 [size=\"129520640\", alpha=\"0.07\", expect_size=\"51808256\"] \n  16 -> 18 [size =\"51808256\"]\n  17 [size=\"79928320\", alpha=\"0.01\", expect_size=\"31971328\"] \n  17 -> 18 [size =\"31971328\"]\n  17 -> 19 [size =\"31971328\"]\n  18 [size=\"55467520\", alpha=\"0.13\", expect_size=\"22187008\"] \n  18 -> 20 [size =\"22187008\"]\n  18 -> 21 [size =\"22187008\"]\n  19 [size=\"126433280\", alpha=\"0.06\", expect_size=\"50573312\"] \n  19 -> 20 [size =\"50573312\"]\n  19 -> 21 [size =\"50573312\"]\n  20 [size=\"73528320\", alpha=\"0.03\", expect_size=\"29411328\"] \n  20 -> 22 [size =\"29411328\"]\n  20 -> 23 [size =\"29411328\"]\n  21 [size=\"95518720\", alpha=\"0.11\", expect_size=\"38207488\"] \n  21 -> 22 [size =\"38207488\"]\n  22 [size=\"66191360\", alpha=\"0.02\", expect_size=\"26476544\"] \n  22 -> 24 [size =\"26476544\"]\n  22 -> 25 [size =\"26476544\"]\n  22 -> 26 [size =\"26476544\"]\n  23 [size=\"26247680\", alpha=\"0.17\", expect_size=\"10499072\"] \n  23 -> 24 [size =\"10499072\"]\n  23 -> 26 [size =\"10499072\"]\n  24 [size=\"25226240\", alpha=\"0.14\", expect_size=\"10090496\"] \n  24 -> 27 [size =\"10090496\"]\n  24 -> 28 [size =\"10090496\"]\n  24 -> 29 [size =\"10090496\"]\n  25 [size=\"57658880\", alpha=\"0.01\", expect_size=\"23063552\"] \n  25 -> 29 [size =\"23063552\"]\n  26 [size=\"15073280\", alpha=\"0.19\", expect_size=\"6029312\"] \n  26 -> 28 [size =\"6029312\"]\n  26 -> 29 [size =\"6029312\"]\n  27 [size=\"56317440\", alpha=\"0.10\", expect_size=\"22526976\"] \n  27 -> 30 [size =\"22526976\"]\n  27 -> 31 [size =\"22526976\"]\n  28 [size=\"63731200\", alpha=\"0.07\", expect_size=\"25492480\"] \n  28 -> 31 [size =\"25492480\"]\n  28 -> 32 [size =\"25492480\"]\n  29 [size=\"23546880\", alpha=\"0.18\", expect_size=\"9418752\"] \n  29 -> 31 [size =\"9418752\"]\n  30 [size=\"57392640\", alpha=\"0.15\", expect_size=\"22957056\"] \n  30 -> 34 [size =\"22957056\"]\n  31 [size=\"74273280\", alpha=\"0.12\", expect_size=\"29709312\"] \n  31 -> 34 [size =\"29709312\"]\n  32 [size=\"21081600\", alpha=\"0.02\", expect_size=\"8432640\"] \n  32 -> 33 [size =\"8432640\"]\n  32 -> 34 [size =\"8432640\"]\n  33 [size=\"34337280\", alpha=\"0.02\", expect_size=\"13734912\"] \n  33 -> 35 [size =\"13734912\"]\n  33 -> 36 [size =\"13734912\"]\n  34 [size=\"16993280\", alpha=\"0.02\", expect_size=\"6797312\"] \n  34 -> 35 [size =\"6797312\"]\n  34 -> 36 [size =\"6797312\"]\n  35 [size=\"98211840\", alpha=\"0.03\", expect_size=\"39284736\"] \n  35 -> 37 [size =\"39284736\"]\n  35 -> 39 [size =\"39284736\"]\n  36 [size=\"104174080\", alpha=\"0.05\", expect_size=\"41669632\"] \n  36 -> 37 [size =\"41669632\"]\n  36 -> 38 [size =\"41669632\"]\n  36 -> 39 [size =\"41669632\"]\n  37 [size=\"99870720\", alpha=\"0.18\", expect_size=\"39948288\"] \n  37 -> 40 [size =\"39948288\"]\n  37 -> 41 [size =\"39948288\"]\n  37 -> 42 [size =\"39948288\"]\n  38 [size=\"42726400\", alpha=\"0.18\", expect_size=\"17090560\"] \n  38 -> 40 [size =\"17090560\"]\n  38 -> 41 [size =\"17090560\"]\n  38 -> 42 [size =\"17090560\"]\n  39 [size=\"86036480\", alpha=\"0.18\", expect_size=\"34414592\"] \n  39 -> 41 [size =\"34414592\"]\n  39 -> 42 [size =\"34414592\"]\n  40 [size=\"76252160\", alpha=\"0.07\", expect_size=\"30500864\"] \n  40 -> 43 [size =\"30500864\"]\n  40 -> 44 [size =\"30500864\"]\n  41 [size=\"45588480\", alpha=\"0.11\", expect_size=\"18235392\"] \n  41 -> 43 [size =\"18235392\"]\n  41 -> 44 [size =\"18235392\"]\n  42 [size=\"118323200\", alpha=\"0.04\", expect_size=\"47329280\"] \n  42 -> 43 [size =\"47329280\"]\n  42 -> 44 [size =\"47329280\"]\n  43 [size=\"130370560\", alpha=\"0.18\", expect_size=\"52148224\"] \n  43 -> 45 [size =\"52148224\"]\n  43 -> 47 [size =\"52148224\"]\n  44 [size=\"22044160\", alpha=\"0.15\", expect_size=\"8817664\"] \n  44 -> 45 [size =\"8817664\"]\n  44 -> 46 [size =\"8817664\"]\n  45 [size=\"30993920\", alpha=\"0.20\", expect_size=\"12397568\"] \n  45 -> 48 [size =\"12397568\"]\n  45 -> 49 [size =\"12397568\"]\n  45 -> 50 [size =\"12397568\"]\n  46 [size=\"51348480\", alpha=\"0.05\", expect_size=\"20539392\"] \n  46 -> 48 [size =\"20539392\"]\n  46 -> 50 [size =\"20539392\"]\n  47 [size=\"81556480\", alpha=\"0.17\", expect_size=\"32622592\"] \n  47 -> 48 [size =\"32622592\"]\n  47 -> 50 [size =\"32622592\"]\n  48 [size=\"70474240\", alpha=\"0.17\", expect_size=\"28189696\"] \n  49 [size=\"60464640\", alpha=\"0.20\", expect_size=\"24185856\"] \n  50 [size=\"46891520\", alpha=\"0.10\", expect_size=\"18756608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.265.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64894293\", alpha=\"0.19\", expect_size=\"19468288\"] \n  1 -> 2 [size =\"19468288\"]\n  2 [size=\"138632533\", alpha=\"0.07\", expect_size=\"41589760\"] \n  2 -> 3 [size =\"41589760\"]\n  3 [size=\"36901547\", alpha=\"0.11\", expect_size=\"11070464\"] \n  3 -> 4 [size =\"11070464\"]\n  4 [size=\"149725867\", alpha=\"0.12\", expect_size=\"44917760\"] \n  4 -> 5 [size =\"44917760\"]\n  5 [size=\"150357333\", alpha=\"0.06\", expect_size=\"45107200\"] \n  5 -> 6 [size =\"45107200\"]\n  6 [size=\"62856533\", alpha=\"0.16\", expect_size=\"18856960\"] \n  6 -> 7 [size =\"18856960\"]\n  7 [size=\"41519787\", alpha=\"0.18\", expect_size=\"12455936\"] \n  7 -> 8 [size =\"12455936\"]\n  8 [size=\"80954027\", alpha=\"0.05\", expect_size=\"24286208\"] \n  8 -> 9 [size =\"24286208\"]\n  9 [size=\"60002987\", alpha=\"0.11\", expect_size=\"18000896\"] \n  9 -> 10 [size =\"18000896\"]\n  10 [size=\"97935360\", alpha=\"0.13\", expect_size=\"29380608\"] \n  10 -> 11 [size =\"29380608\"]\n  11 [size=\"140154880\", alpha=\"0.19\", expect_size=\"42046464\"] \n  11 -> 12 [size =\"42046464\"]\n  12 [size=\"132055040\", alpha=\"0.03\", expect_size=\"39616512\"] \n  12 -> 13 [size =\"39616512\"]\n  13 [size=\"25920853\", alpha=\"0.19\", expect_size=\"7776256\"] \n  13 -> 14 [size =\"7776256\"]\n  14 [size=\"113141760\", alpha=\"0.10\", expect_size=\"33942528\"] \n  14 -> 15 [size =\"33942528\"]\n  15 [size=\"46984533\", alpha=\"0.10\", expect_size=\"14095360\"] \n  15 -> 16 [size =\"14095360\"]\n  16 [size=\"92740267\", alpha=\"0.07\", expect_size=\"27822080\"] \n  16 -> 17 [size =\"27822080\"]\n  17 [size=\"59948373\", alpha=\"0.16\", expect_size=\"17984512\"] \n  17 -> 18 [size =\"17984512\"]\n  18 [size=\"45284693\", alpha=\"0.10\", expect_size=\"13585408\"] \n  18 -> 19 [size =\"13585408\"]\n  19 [size=\"81503573\", alpha=\"0.09\", expect_size=\"24451072\"] \n  19 -> 20 [size =\"24451072\"]\n  20 [size=\"171045547\", alpha=\"0.12\", expect_size=\"51313664\"] \n  20 -> 21 [size =\"51313664\"]\n  21 [size=\"118681600\", alpha=\"0.00\", expect_size=\"35604480\"] \n  21 -> 22 [size =\"35604480\"]\n  22 [size=\"112599040\", alpha=\"0.04\", expect_size=\"33779712\"] \n  22 -> 23 [size =\"33779712\"]\n  23 [size=\"137376427\", alpha=\"0.11\", expect_size=\"41212928\"] \n  23 -> 24 [size =\"41212928\"]\n  24 [size=\"130088960\", alpha=\"0.14\", expect_size=\"39026688\"] \n  24 -> 25 [size =\"39026688\"]\n  25 [size=\"47742293\", alpha=\"0.14\", expect_size=\"14322688\"] \n  25 -> 26 [size =\"14322688\"]\n  26 [size=\"123999573\", alpha=\"0.00\", expect_size=\"37199872\"] \n  26 -> 27 [size =\"37199872\"]\n  27 [size=\"25374720\", alpha=\"0.09\", expect_size=\"7612416\"] \n  27 -> 28 [size =\"7612416\"]\n  28 [size=\"154555733\", alpha=\"0.07\", expect_size=\"46366720\"] \n  28 -> 29 [size =\"46366720\"]\n  29 [size=\"77806933\", alpha=\"0.09\", expect_size=\"23342080\"] \n  29 -> 30 [size =\"23342080\"]\n  30 [size=\"148787200\", alpha=\"0.02\", expect_size=\"44636160\"] \n  30 -> 31 [size =\"44636160\"]\n  31 [size=\"83019093\", alpha=\"0.10\", expect_size=\"24905728\"] \n  31 -> 32 [size =\"24905728\"]\n  32 [size=\"85210453\", alpha=\"0.13\", expect_size=\"25563136\"] \n  32 -> 33 [size =\"25563136\"]\n  33 [size=\"119234560\", alpha=\"0.17\", expect_size=\"35770368\"] \n  33 -> 34 [size =\"35770368\"]\n  34 [size=\"47223467\", alpha=\"0.13\", expect_size=\"14167040\"] \n  34 -> 35 [size =\"14167040\"]\n  35 [size=\"158723413\", alpha=\"0.13\", expect_size=\"47617024\"] \n  35 -> 36 [size =\"47617024\"]\n  36 [size=\"114759680\", alpha=\"0.03\", expect_size=\"34427904\"] \n  36 -> 37 [size =\"34427904\"]\n  37 [size=\"117992107\", alpha=\"0.18\", expect_size=\"35397632\"] \n  37 -> 38 [size =\"35397632\"]\n  38 [size=\"35188053\", alpha=\"0.16\", expect_size=\"10556416\"] \n  38 -> 39 [size =\"10556416\"]\n  39 [size=\"87111680\", alpha=\"0.03\", expect_size=\"26133504\"] \n  39 -> 40 [size =\"26133504\"]\n  40 [size=\"159003307\", alpha=\"0.09\", expect_size=\"47700992\"] \n  40 -> 41 [size =\"47700992\"]\n  41 [size=\"174042453\", alpha=\"0.08\", expect_size=\"52212736\"] \n  41 -> 42 [size =\"52212736\"]\n  42 [size=\"97621333\", alpha=\"0.19\", expect_size=\"29286400\"] \n  42 -> 43 [size =\"29286400\"]\n  43 [size=\"44318720\", alpha=\"0.05\", expect_size=\"13295616\"] \n  43 -> 44 [size =\"13295616\"]\n  44 [size=\"22582613\", alpha=\"0.06\", expect_size=\"6774784\"] \n  44 -> 45 [size =\"6774784\"]\n  45 [size=\"128081920\", alpha=\"0.10\", expect_size=\"38424576\"] \n  45 -> 46 [size =\"38424576\"]\n  46 [size=\"75748693\", alpha=\"0.08\", expect_size=\"22724608\"] \n  46 -> 47 [size =\"22724608\"]\n  47 [size=\"98136747\", alpha=\"0.07\", expect_size=\"29441024\"] \n  47 -> 48 [size =\"29441024\"]\n  48 [size=\"80431787\", alpha=\"0.04\", expect_size=\"24129536\"] \n  48 -> 49 [size =\"24129536\"]\n  49 [size=\"50449067\", alpha=\"0.08\", expect_size=\"15134720\"] \n  49 -> 50 [size =\"15134720\"]\n  50 [size=\"72209067\", alpha=\"0.09\", expect_size=\"21662720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.266.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43116544\", alpha=\"0.08\", expect_size=\"21558272\"] \n  1 -> 4 [size =\"21558272\"]\n  2 [size=\"24619008\", alpha=\"0.06\", expect_size=\"12309504\"] \n  3 [size=\"12969984\", alpha=\"0.18\", expect_size=\"6484992\"] \n  3 -> 5 [size =\"6484992\"]\n  4 [size=\"91885568\", alpha=\"0.08\", expect_size=\"45942784\"] \n  4 -> 6 [size =\"45942784\"]\n  4 -> 7 [size =\"45942784\"]\n  4 -> 8 [size =\"45942784\"]\n  5 [size=\"100085760\", alpha=\"0.20\", expect_size=\"50042880\"] \n  6 [size=\"30644224\", alpha=\"0.13\", expect_size=\"15322112\"] \n  6 -> 10 [size =\"15322112\"]\n  6 -> 11 [size =\"15322112\"]\n  7 [size=\"103577600\", alpha=\"0.04\", expect_size=\"51788800\"] \n  7 -> 9 [size =\"51788800\"]\n  7 -> 10 [size =\"51788800\"]\n  8 [size=\"75630592\", alpha=\"0.02\", expect_size=\"37815296\"] \n  8 -> 9 [size =\"37815296\"]\n  8 -> 11 [size =\"37815296\"]\n  9 [size=\"86278144\", alpha=\"0.18\", expect_size=\"43139072\"] \n  9 -> 12 [size =\"43139072\"]\n  10 [size=\"21135360\", alpha=\"0.17\", expect_size=\"10567680\"] \n  10 -> 13 [size =\"10567680\"]\n  11 [size=\"62478336\", alpha=\"0.12\", expect_size=\"31239168\"] \n  12 [size=\"98279424\", alpha=\"0.09\", expect_size=\"49139712\"] \n  12 -> 14 [size =\"49139712\"]\n  12 -> 15 [size =\"49139712\"]\n  13 [size=\"33871872\", alpha=\"0.12\", expect_size=\"16935936\"] \n  14 [size=\"25274368\", alpha=\"0.07\", expect_size=\"12637184\"] \n  14 -> 16 [size =\"12637184\"]\n  15 [size=\"64274432\", alpha=\"0.18\", expect_size=\"32137216\"] \n  15 -> 17 [size =\"32137216\"]\n  15 -> 18 [size =\"32137216\"]\n  16 [size=\"63721472\", alpha=\"0.14\", expect_size=\"31860736\"] \n  16 -> 19 [size =\"31860736\"]\n  16 -> 20 [size =\"31860736\"]\n  17 [size=\"29564928\", alpha=\"0.14\", expect_size=\"14782464\"] \n  17 -> 19 [size =\"14782464\"]\n  18 [size=\"47982592\", alpha=\"0.15\", expect_size=\"23991296\"] \n  18 -> 20 [size =\"23991296\"]\n  18 -> 21 [size =\"23991296\"]\n  19 [size=\"58884096\", alpha=\"0.16\", expect_size=\"29442048\"] \n  19 -> 23 [size =\"29442048\"]\n  20 [size=\"50497536\", alpha=\"0.03\", expect_size=\"25248768\"] \n  20 -> 22 [size =\"25248768\"]\n  21 [size=\"34193408\", alpha=\"0.17\", expect_size=\"17096704\"] \n  22 [size=\"92594176\", alpha=\"0.14\", expect_size=\"46297088\"] \n  22 -> 24 [size =\"46297088\"]\n  22 -> 25 [size =\"46297088\"]\n  23 [size=\"41486336\", alpha=\"0.11\", expect_size=\"20743168\"] \n  23 -> 26 [size =\"20743168\"]\n  24 [size=\"96534528\", alpha=\"0.05\", expect_size=\"48267264\"] \n  24 -> 27 [size =\"48267264\"]\n  24 -> 29 [size =\"48267264\"]\n  25 [size=\"34795520\", alpha=\"0.19\", expect_size=\"17397760\"] \n  26 [size=\"25493504\", alpha=\"0.17\", expect_size=\"12746752\"] \n  26 -> 28 [size =\"12746752\"]\n  27 [size=\"90546176\", alpha=\"0.14\", expect_size=\"45273088\"] \n  27 -> 31 [size =\"45273088\"]\n  28 [size=\"62687232\", alpha=\"0.06\", expect_size=\"31343616\"] \n  28 -> 30 [size =\"31343616\"]\n  29 [size=\"39534592\", alpha=\"0.13\", expect_size=\"19767296\"] \n  29 -> 30 [size =\"19767296\"]\n  29 -> 31 [size =\"19767296\"]\n  30 [size=\"21252096\", alpha=\"0.03\", expect_size=\"10626048\"] \n  30 -> 33 [size =\"10626048\"]\n  31 [size=\"35303424\", alpha=\"0.03\", expect_size=\"17651712\"] \n  31 -> 32 [size =\"17651712\"]\n  31 -> 34 [size =\"17651712\"]\n  32 [size=\"19943424\", alpha=\"0.03\", expect_size=\"9971712\"] \n  33 [size=\"83679232\", alpha=\"0.07\", expect_size=\"41839616\"] \n  34 [size=\"40253440\", alpha=\"0.14\", expect_size=\"20126720\"] \n  34 -> 35 [size =\"20126720\"]\n  34 -> 36 [size =\"20126720\"]\n  35 [size=\"65437696\", alpha=\"0.13\", expect_size=\"32718848\"] \n  36 [size=\"60088320\", alpha=\"0.03\", expect_size=\"30044160\"] \n  36 -> 37 [size =\"30044160\"]\n  36 -> 38 [size =\"30044160\"]\n  37 [size=\"44367872\", alpha=\"0.17\", expect_size=\"22183936\"] \n  37 -> 40 [size =\"22183936\"]\n  37 -> 41 [size =\"22183936\"]\n  38 [size=\"16992256\", alpha=\"0.19\", expect_size=\"8496128\"] \n  38 -> 39 [size =\"8496128\"]\n  39 [size=\"43112448\", alpha=\"0.11\", expect_size=\"21556224\"] \n  39 -> 42 [size =\"21556224\"]\n  39 -> 43 [size =\"21556224\"]\n  40 [size=\"104146944\", alpha=\"0.12\", expect_size=\"52073472\"] \n  41 [size=\"22001664\", alpha=\"0.18\", expect_size=\"11000832\"] \n  42 [size=\"37416960\", alpha=\"0.01\", expect_size=\"18708480\"] \n  43 [size=\"49444864\", alpha=\"0.11\", expect_size=\"24722432\"] \n  43 -> 44 [size =\"24722432\"]\n  43 -> 45 [size =\"24722432\"]\n  44 [size=\"81469440\", alpha=\"0.19\", expect_size=\"40734720\"] \n  44 -> 46 [size =\"40734720\"]\n  45 [size=\"53911552\", alpha=\"0.12\", expect_size=\"26955776\"] \n  45 -> 47 [size =\"26955776\"]\n  45 -> 48 [size =\"26955776\"]\n  46 [size=\"20559872\", alpha=\"0.09\", expect_size=\"10279936\"] \n  46 -> 50 [size =\"10279936\"]\n  47 [size=\"34650112\", alpha=\"0.02\", expect_size=\"17325056\"] \n  47 -> 49 [size =\"17325056\"]\n  47 -> 50 [size =\"17325056\"]\n  48 [size=\"20891648\", alpha=\"0.06\", expect_size=\"10445824\"] \n  49 [size=\"16783360\", alpha=\"0.17\", expect_size=\"8391680\"] \n  50 [size=\"70725632\", alpha=\"0.10\", expect_size=\"35362816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.267.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94786560\", alpha=\"0.04\", expect_size=\"37914624\"] \n  1 -> 2 [size =\"37914624\"]\n  2 [size=\"126599680\", alpha=\"0.10\", expect_size=\"50639872\"] \n  2 -> 3 [size =\"50639872\"]\n  3 [size=\"98078720\", alpha=\"0.10\", expect_size=\"39231488\"] \n  3 -> 4 [size =\"39231488\"]\n  4 [size=\"47715840\", alpha=\"0.19\", expect_size=\"19086336\"] \n  4 -> 5 [size =\"19086336\"]\n  5 [size=\"82009600\", alpha=\"0.17\", expect_size=\"32803840\"] \n  5 -> 6 [size =\"32803840\"]\n  6 [size=\"82928640\", alpha=\"0.08\", expect_size=\"33171456\"] \n  6 -> 7 [size =\"33171456\"]\n  7 [size=\"67489280\", alpha=\"0.05\", expect_size=\"26995712\"] \n  7 -> 8 [size =\"26995712\"]\n  8 [size=\"78131200\", alpha=\"0.20\", expect_size=\"31252480\"] \n  8 -> 9 [size =\"31252480\"]\n  9 [size=\"114347520\", alpha=\"0.04\", expect_size=\"45739008\"] \n  9 -> 10 [size =\"45739008\"]\n  10 [size=\"57103360\", alpha=\"0.14\", expect_size=\"22841344\"] \n  10 -> 11 [size =\"22841344\"]\n  11 [size=\"93555200\", alpha=\"0.14\", expect_size=\"37422080\"] \n  11 -> 12 [size =\"37422080\"]\n  12 [size=\"117084160\", alpha=\"0.02\", expect_size=\"46833664\"] \n  12 -> 13 [size =\"46833664\"]\n  13 [size=\"56568320\", alpha=\"0.08\", expect_size=\"22627328\"] \n  13 -> 14 [size =\"22627328\"]\n  14 [size=\"114316800\", alpha=\"0.13\", expect_size=\"45726720\"] \n  14 -> 15 [size =\"45726720\"]\n  15 [size=\"110566400\", alpha=\"0.06\", expect_size=\"44226560\"] \n  15 -> 16 [size =\"44226560\"]\n  16 [size=\"91942400\", alpha=\"0.09\", expect_size=\"36776960\"] \n  16 -> 17 [size =\"36776960\"]\n  17 [size=\"19514880\", alpha=\"0.10\", expect_size=\"7805952\"] \n  17 -> 18 [size =\"7805952\"]\n  18 [size=\"50606080\", alpha=\"0.11\", expect_size=\"20242432\"] \n  18 -> 19 [size =\"20242432\"]\n  19 [size=\"49815040\", alpha=\"0.09\", expect_size=\"19926016\"] \n  19 -> 20 [size =\"19926016\"]\n  20 [size=\"73472000\", alpha=\"0.05\", expect_size=\"29388800\"] \n  20 -> 21 [size =\"29388800\"]\n  21 [size=\"40220160\", alpha=\"0.15\", expect_size=\"16088064\"] \n  21 -> 22 [size =\"16088064\"]\n  22 [size=\"124544000\", alpha=\"0.05\", expect_size=\"49817600\"] \n  22 -> 23 [size =\"49817600\"]\n  23 [size=\"17139200\", alpha=\"0.09\", expect_size=\"6855680\"] \n  23 -> 24 [size =\"6855680\"]\n  24 [size=\"63490560\", alpha=\"0.18\", expect_size=\"25396224\"] \n  24 -> 25 [size =\"25396224\"]\n  25 [size=\"24025600\", alpha=\"0.20\", expect_size=\"9610240\"] \n  25 -> 26 [size =\"9610240\"]\n  26 [size=\"61237760\", alpha=\"0.13\", expect_size=\"24495104\"] \n  26 -> 27 [size =\"24495104\"]\n  27 [size=\"116631040\", alpha=\"0.15\", expect_size=\"46652416\"] \n  27 -> 28 [size =\"46652416\"]\n  28 [size=\"55749120\", alpha=\"0.09\", expect_size=\"22299648\"] \n  28 -> 29 [size =\"22299648\"]\n  29 [size=\"123374080\", alpha=\"0.19\", expect_size=\"49349632\"] \n  29 -> 30 [size =\"49349632\"]\n  30 [size=\"57858560\", alpha=\"0.17\", expect_size=\"23143424\"] \n  30 -> 31 [size =\"23143424\"]\n  31 [size=\"88494080\", alpha=\"0.09\", expect_size=\"35397632\"] \n  31 -> 32 [size =\"35397632\"]\n  32 [size=\"61035520\", alpha=\"0.18\", expect_size=\"24414208\"] \n  32 -> 33 [size =\"24414208\"]\n  33 [size=\"88970240\", alpha=\"0.15\", expect_size=\"35588096\"] \n  33 -> 34 [size =\"35588096\"]\n  34 [size=\"21347840\", alpha=\"0.09\", expect_size=\"8539136\"] \n  34 -> 35 [size =\"8539136\"]\n  35 [size=\"128709120\", alpha=\"0.19\", expect_size=\"51483648\"] \n  35 -> 36 [size =\"51483648\"]\n  36 [size=\"126056960\", alpha=\"0.03\", expect_size=\"50422784\"] \n  36 -> 37 [size =\"50422784\"]\n  37 [size=\"83217920\", alpha=\"0.08\", expect_size=\"33287168\"] \n  37 -> 38 [size =\"33287168\"]\n  38 [size=\"54576640\", alpha=\"0.19\", expect_size=\"21830656\"] \n  38 -> 39 [size =\"21830656\"]\n  39 [size=\"105157120\", alpha=\"0.16\", expect_size=\"42062848\"] \n  39 -> 40 [size =\"42062848\"]\n  40 [size=\"100270080\", alpha=\"0.04\", expect_size=\"40108032\"] \n  40 -> 41 [size =\"40108032\"]\n  41 [size=\"83916800\", alpha=\"0.16\", expect_size=\"33566720\"] \n  41 -> 42 [size =\"33566720\"]\n  42 [size=\"18577920\", alpha=\"0.07\", expect_size=\"7431168\"] \n  42 -> 43 [size =\"7431168\"]\n  43 [size=\"126200320\", alpha=\"0.19\", expect_size=\"50480128\"] \n  43 -> 44 [size =\"50480128\"]\n  44 [size=\"96348160\", alpha=\"0.20\", expect_size=\"38539264\"] \n  44 -> 45 [size =\"38539264\"]\n  45 [size=\"30231040\", alpha=\"0.02\", expect_size=\"12092416\"] \n  45 -> 46 [size =\"12092416\"]\n  46 [size=\"25313280\", alpha=\"0.12\", expect_size=\"10125312\"] \n  46 -> 47 [size =\"10125312\"]\n  47 [size=\"42462720\", alpha=\"0.00\", expect_size=\"16985088\"] \n  47 -> 48 [size =\"16985088\"]\n  48 [size=\"88087040\", alpha=\"0.15\", expect_size=\"35234816\"] \n  48 -> 49 [size =\"35234816\"]\n  49 [size=\"81725440\", alpha=\"0.09\", expect_size=\"32690176\"] \n  49 -> 50 [size =\"32690176\"]\n  50 [size=\"60083200\", alpha=\"0.10\", expect_size=\"24033280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.268.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16723968\", alpha=\"0.20\", expect_size=\"8361984\"] \n  2 [size=\"26324992\", alpha=\"0.15\", expect_size=\"13162496\"] \n  3 [size=\"77293568\", alpha=\"0.18\", expect_size=\"38646784\"] \n  3 -> 4 [size =\"38646784\"]\n  3 -> 5 [size =\"38646784\"]\n  4 [size=\"33843200\", alpha=\"0.14\", expect_size=\"16921600\"] \n  4 -> 6 [size =\"16921600\"]\n  4 -> 7 [size =\"16921600\"]\n  4 -> 8 [size =\"16921600\"]\n  5 [size=\"27447296\", alpha=\"0.14\", expect_size=\"13723648\"] \n  6 [size=\"13740032\", alpha=\"0.16\", expect_size=\"6870016\"] \n  6 -> 9 [size =\"6870016\"]\n  6 -> 11 [size =\"6870016\"]\n  7 [size=\"68501504\", alpha=\"0.05\", expect_size=\"34250752\"] \n  7 -> 10 [size =\"34250752\"]\n  7 -> 11 [size =\"34250752\"]\n  8 [size=\"57815040\", alpha=\"0.18\", expect_size=\"28907520\"] \n  8 -> 10 [size =\"28907520\"]\n  9 [size=\"59232256\", alpha=\"0.17\", expect_size=\"29616128\"] \n  9 -> 12 [size =\"29616128\"]\n  9 -> 13 [size =\"29616128\"]\n  9 -> 14 [size =\"29616128\"]\n  10 [size=\"23533568\", alpha=\"0.04\", expect_size=\"11766784\"] \n  10 -> 14 [size =\"11766784\"]\n  11 [size=\"40005632\", alpha=\"0.16\", expect_size=\"20002816\"] \n  11 -> 12 [size =\"20002816\"]\n  12 [size=\"39211008\", alpha=\"0.09\", expect_size=\"19605504\"] \n  12 -> 16 [size =\"19605504\"]\n  13 [size=\"14483456\", alpha=\"0.15\", expect_size=\"7241728\"] \n  13 -> 15 [size =\"7241728\"]\n  14 [size=\"97826816\", alpha=\"0.17\", expect_size=\"48913408\"] \n  14 -> 15 [size =\"48913408\"]\n  15 [size=\"69351424\", alpha=\"0.04\", expect_size=\"34675712\"] \n  15 -> 17 [size =\"34675712\"]\n  15 -> 18 [size =\"34675712\"]\n  16 [size=\"40691712\", alpha=\"0.10\", expect_size=\"20345856\"] \n  16 -> 19 [size =\"20345856\"]\n  17 [size=\"22288384\", alpha=\"0.15\", expect_size=\"11144192\"] \n  17 -> 20 [size =\"11144192\"]\n  17 -> 21 [size =\"11144192\"]\n  18 [size=\"45514752\", alpha=\"0.14\", expect_size=\"22757376\"] \n  18 -> 21 [size =\"22757376\"]\n  18 -> 22 [size =\"22757376\"]\n  19 [size=\"37769216\", alpha=\"0.00\", expect_size=\"18884608\"] \n  19 -> 22 [size =\"18884608\"]\n  20 [size=\"25858048\", alpha=\"0.16\", expect_size=\"12929024\"] \n  20 -> 23 [size =\"12929024\"]\n  20 -> 24 [size =\"12929024\"]\n  21 [size=\"45373440\", alpha=\"0.14\", expect_size=\"22686720\"] \n  22 [size=\"28741632\", alpha=\"0.15\", expect_size=\"14370816\"] \n  23 [size=\"69873664\", alpha=\"0.10\", expect_size=\"34936832\"] \n  23 -> 26 [size =\"34936832\"]\n  23 -> 27 [size =\"34936832\"]\n  24 [size=\"48580608\", alpha=\"0.10\", expect_size=\"24290304\"] \n  24 -> 25 [size =\"24290304\"]\n  25 [size=\"35338240\", alpha=\"0.13\", expect_size=\"17669120\"] \n  25 -> 29 [size =\"17669120\"]\n  25 -> 30 [size =\"17669120\"]\n  26 [size=\"52068352\", alpha=\"0.18\", expect_size=\"26034176\"] \n  26 -> 28 [size =\"26034176\"]\n  26 -> 29 [size =\"26034176\"]\n  27 [size=\"98023424\", alpha=\"0.14\", expect_size=\"49011712\"] \n  27 -> 28 [size =\"49011712\"]\n  28 [size=\"73461760\", alpha=\"0.01\", expect_size=\"36730880\"] \n  28 -> 33 [size =\"36730880\"]\n  29 [size=\"47280128\", alpha=\"0.18\", expect_size=\"23640064\"] \n  29 -> 32 [size =\"23640064\"]\n  30 [size=\"48357376\", alpha=\"0.17\", expect_size=\"24178688\"] \n  30 -> 31 [size =\"24178688\"]\n  31 [size=\"31373312\", alpha=\"0.03\", expect_size=\"15686656\"] \n  31 -> 35 [size =\"15686656\"]\n  32 [size=\"96935936\", alpha=\"0.15\", expect_size=\"48467968\"] \n  33 [size=\"72146944\", alpha=\"0.08\", expect_size=\"36073472\"] \n  33 -> 34 [size =\"36073472\"]\n  34 [size=\"23812096\", alpha=\"0.19\", expect_size=\"11906048\"] \n  34 -> 37 [size =\"11906048\"]\n  35 [size=\"69664768\", alpha=\"0.03\", expect_size=\"34832384\"] \n  35 -> 36 [size =\"34832384\"]\n  36 [size=\"37918720\", alpha=\"0.13\", expect_size=\"18959360\"] \n  36 -> 38 [size =\"18959360\"]\n  37 [size=\"26204160\", alpha=\"0.06\", expect_size=\"13102080\"] \n  37 -> 39 [size =\"13102080\"]\n  37 -> 40 [size =\"13102080\"]\n  38 [size=\"92538880\", alpha=\"0.06\", expect_size=\"46269440\"] \n  38 -> 41 [size =\"46269440\"]\n  39 [size=\"95506432\", alpha=\"0.12\", expect_size=\"47753216\"] \n  39 -> 41 [size =\"47753216\"]\n  39 -> 43 [size =\"47753216\"]\n  40 [size=\"83855360\", alpha=\"0.02\", expect_size=\"41927680\"] \n  40 -> 42 [size =\"41927680\"]\n  40 -> 43 [size =\"41927680\"]\n  41 [size=\"70635520\", alpha=\"0.18\", expect_size=\"35317760\"] \n  41 -> 44 [size =\"35317760\"]\n  41 -> 46 [size =\"35317760\"]\n  42 [size=\"85368832\", alpha=\"0.19\", expect_size=\"42684416\"] \n  42 -> 45 [size =\"42684416\"]\n  43 [size=\"62406656\", alpha=\"0.12\", expect_size=\"31203328\"] \n  44 [size=\"100122624\", alpha=\"0.13\", expect_size=\"50061312\"] \n  45 [size=\"97112064\", alpha=\"0.19\", expect_size=\"48556032\"] \n  45 -> 47 [size =\"48556032\"]\n  45 -> 48 [size =\"48556032\"]\n  46 [size=\"17870848\", alpha=\"0.14\", expect_size=\"8935424\"] \n  46 -> 47 [size =\"8935424\"]\n  46 -> 48 [size =\"8935424\"]\n  47 [size=\"81350656\", alpha=\"0.08\", expect_size=\"40675328\"] \n  47 -> 49 [size =\"40675328\"]\n  48 [size=\"16238592\", alpha=\"0.15\", expect_size=\"8119296\"] \n  48 -> 50 [size =\"8119296\"]\n  49 [size=\"46307328\", alpha=\"0.10\", expect_size=\"23153664\"] \n  50 [size=\"104468480\", alpha=\"0.13\", expect_size=\"52234240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.269.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72288256\", alpha=\"0.10\", expect_size=\"36144128\"] \n  1 -> 2 [size =\"36144128\"]\n  2 [size=\"80279552\", alpha=\"0.05\", expect_size=\"40139776\"] \n  2 -> 3 [size =\"40139776\"]\n  3 [size=\"97261568\", alpha=\"0.10\", expect_size=\"48630784\"] \n  3 -> 4 [size =\"48630784\"]\n  4 [size=\"92409856\", alpha=\"0.19\", expect_size=\"46204928\"] \n  4 -> 5 [size =\"46204928\"]\n  5 [size=\"54724608\", alpha=\"0.11\", expect_size=\"27362304\"] \n  5 -> 6 [size =\"27362304\"]\n  6 [size=\"16914432\", alpha=\"0.03\", expect_size=\"8457216\"] \n  6 -> 7 [size =\"8457216\"]\n  7 [size=\"55242752\", alpha=\"0.16\", expect_size=\"27621376\"] \n  7 -> 8 [size =\"27621376\"]\n  8 [size=\"52187136\", alpha=\"0.10\", expect_size=\"26093568\"] \n  8 -> 9 [size =\"26093568\"]\n  9 [size=\"32530432\", alpha=\"0.02\", expect_size=\"16265216\"] \n  9 -> 10 [size =\"16265216\"]\n  10 [size=\"17479680\", alpha=\"0.02\", expect_size=\"8739840\"] \n  10 -> 11 [size =\"8739840\"]\n  11 [size=\"103446528\", alpha=\"0.17\", expect_size=\"51723264\"] \n  11 -> 12 [size =\"51723264\"]\n  12 [size=\"58376192\", alpha=\"0.20\", expect_size=\"29188096\"] \n  12 -> 13 [size =\"29188096\"]\n  13 [size=\"80396288\", alpha=\"0.18\", expect_size=\"40198144\"] \n  13 -> 14 [size =\"40198144\"]\n  14 [size=\"35477504\", alpha=\"0.10\", expect_size=\"17738752\"] \n  14 -> 15 [size =\"17738752\"]\n  15 [size=\"33032192\", alpha=\"0.19\", expect_size=\"16516096\"] \n  15 -> 16 [size =\"16516096\"]\n  16 [size=\"83181568\", alpha=\"0.10\", expect_size=\"41590784\"] \n  16 -> 17 [size =\"41590784\"]\n  17 [size=\"96727040\", alpha=\"0.06\", expect_size=\"48363520\"] \n  17 -> 18 [size =\"48363520\"]\n  18 [size=\"79099904\", alpha=\"0.01\", expect_size=\"39549952\"] \n  18 -> 19 [size =\"39549952\"]\n  19 [size=\"30494720\", alpha=\"0.12\", expect_size=\"15247360\"] \n  19 -> 20 [size =\"15247360\"]\n  20 [size=\"40253440\", alpha=\"0.09\", expect_size=\"20126720\"] \n  20 -> 21 [size =\"20126720\"]\n  21 [size=\"48984064\", alpha=\"0.19\", expect_size=\"24492032\"] \n  21 -> 22 [size =\"24492032\"]\n  22 [size=\"35209216\", alpha=\"0.04\", expect_size=\"17604608\"] \n  22 -> 23 [size =\"17604608\"]\n  23 [size=\"33576960\", alpha=\"0.07\", expect_size=\"16788480\"] \n  23 -> 24 [size =\"16788480\"]\n  24 [size=\"22673408\", alpha=\"0.08\", expect_size=\"11336704\"] \n  24 -> 25 [size =\"11336704\"]\n  25 [size=\"71473152\", alpha=\"0.18\", expect_size=\"35736576\"] \n  25 -> 26 [size =\"35736576\"]\n  26 [size=\"66027520\", alpha=\"0.09\", expect_size=\"33013760\"] \n  26 -> 27 [size =\"33013760\"]\n  27 [size=\"21116928\", alpha=\"0.10\", expect_size=\"10558464\"] \n  27 -> 28 [size =\"10558464\"]\n  28 [size=\"49455104\", alpha=\"0.19\", expect_size=\"24727552\"] \n  28 -> 29 [size =\"24727552\"]\n  29 [size=\"51838976\", alpha=\"0.14\", expect_size=\"25919488\"] \n  29 -> 30 [size =\"25919488\"]\n  30 [size=\"15525888\", alpha=\"0.09\", expect_size=\"7762944\"] \n  30 -> 31 [size =\"7762944\"]\n  31 [size=\"59023360\", alpha=\"0.05\", expect_size=\"29511680\"] \n  31 -> 32 [size =\"29511680\"]\n  32 [size=\"55388160\", alpha=\"0.11\", expect_size=\"27694080\"] \n  32 -> 33 [size =\"27694080\"]\n  33 [size=\"74414080\", alpha=\"0.11\", expect_size=\"37207040\"] \n  33 -> 34 [size =\"37207040\"]\n  34 [size=\"14137344\", alpha=\"0.17\", expect_size=\"7068672\"] \n  34 -> 35 [size =\"7068672\"]\n  35 [size=\"50849792\", alpha=\"0.07\", expect_size=\"25424896\"] \n  35 -> 36 [size =\"25424896\"]\n  36 [size=\"40052736\", alpha=\"0.13\", expect_size=\"20026368\"] \n  36 -> 37 [size =\"20026368\"]\n  37 [size=\"82544640\", alpha=\"0.17\", expect_size=\"41272320\"] \n  37 -> 38 [size =\"41272320\"]\n  38 [size=\"34340864\", alpha=\"0.16\", expect_size=\"17170432\"] \n  38 -> 39 [size =\"17170432\"]\n  39 [size=\"31514624\", alpha=\"0.19\", expect_size=\"15757312\"] \n  39 -> 40 [size =\"15757312\"]\n  40 [size=\"96110592\", alpha=\"0.08\", expect_size=\"48055296\"] \n  40 -> 41 [size =\"48055296\"]\n  41 [size=\"46385152\", alpha=\"0.06\", expect_size=\"23192576\"] \n  41 -> 42 [size =\"23192576\"]\n  42 [size=\"69666816\", alpha=\"0.09\", expect_size=\"34833408\"] \n  42 -> 43 [size =\"34833408\"]\n  43 [size=\"25108480\", alpha=\"0.16\", expect_size=\"12554240\"] \n  43 -> 44 [size =\"12554240\"]\n  44 [size=\"76988416\", alpha=\"0.06\", expect_size=\"38494208\"] \n  44 -> 45 [size =\"38494208\"]\n  45 [size=\"61558784\", alpha=\"0.09\", expect_size=\"30779392\"] \n  45 -> 46 [size =\"30779392\"]\n  46 [size=\"95739904\", alpha=\"0.04\", expect_size=\"47869952\"] \n  46 -> 47 [size =\"47869952\"]\n  47 [size=\"63481856\", alpha=\"0.01\", expect_size=\"31740928\"] \n  47 -> 48 [size =\"31740928\"]\n  48 [size=\"51027968\", alpha=\"0.07\", expect_size=\"25513984\"] \n  48 -> 49 [size =\"25513984\"]\n  49 [size=\"32622592\", alpha=\"0.01\", expect_size=\"16311296\"] \n  49 -> 50 [size =\"16311296\"]\n  50 [size=\"28272640\", alpha=\"0.16\", expect_size=\"14136320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59758592\", alpha=\"0.13\", expect_size=\"29879296\"] \n  1 -> 2 [size =\"29879296\"]\n  2 [size=\"65896448\", alpha=\"0.05\", expect_size=\"32948224\"] \n  2 -> 3 [size =\"32948224\"]\n  3 [size=\"39159808\", alpha=\"0.10\", expect_size=\"19579904\"] \n  3 -> 4 [size =\"19579904\"]\n  4 [size=\"12552192\", alpha=\"0.14\", expect_size=\"6276096\"] \n  4 -> 5 [size =\"6276096\"]\n  5 [size=\"104808448\", alpha=\"0.07\", expect_size=\"52404224\"] \n  5 -> 6 [size =\"52404224\"]\n  6 [size=\"34947072\", alpha=\"0.15\", expect_size=\"17473536\"] \n  6 -> 7 [size =\"17473536\"]\n  7 [size=\"71172096\", alpha=\"0.02\", expect_size=\"35586048\"] \n  7 -> 8 [size =\"35586048\"]\n  8 [size=\"35209216\", alpha=\"0.09\", expect_size=\"17604608\"] \n  8 -> 9 [size =\"17604608\"]\n  9 [size=\"44089344\", alpha=\"0.07\", expect_size=\"22044672\"] \n  9 -> 10 [size =\"22044672\"]\n  10 [size=\"74838016\", alpha=\"0.02\", expect_size=\"37419008\"] \n  10 -> 11 [size =\"37419008\"]\n  11 [size=\"33792000\", alpha=\"0.06\", expect_size=\"16896000\"] \n  11 -> 12 [size =\"16896000\"]\n  12 [size=\"94887936\", alpha=\"0.05\", expect_size=\"47443968\"] \n  12 -> 13 [size =\"47443968\"]\n  13 [size=\"21995520\", alpha=\"0.11\", expect_size=\"10997760\"] \n  13 -> 14 [size =\"10997760\"]\n  14 [size=\"69707776\", alpha=\"0.17\", expect_size=\"34853888\"] \n  14 -> 15 [size =\"34853888\"]\n  15 [size=\"42407936\", alpha=\"0.14\", expect_size=\"21203968\"] \n  15 -> 16 [size =\"21203968\"]\n  16 [size=\"73283584\", alpha=\"0.02\", expect_size=\"36641792\"] \n  16 -> 17 [size =\"36641792\"]\n  17 [size=\"47949824\", alpha=\"0.12\", expect_size=\"23974912\"] \n  17 -> 18 [size =\"23974912\"]\n  18 [size=\"57933824\", alpha=\"0.08\", expect_size=\"28966912\"] \n  18 -> 19 [size =\"28966912\"]\n  19 [size=\"101742592\", alpha=\"0.01\", expect_size=\"50871296\"] \n  19 -> 20 [size =\"50871296\"]\n  20 [size=\"40325120\", alpha=\"0.16\", expect_size=\"20162560\"] \n  20 -> 21 [size =\"20162560\"]\n  21 [size=\"51644416\", alpha=\"0.03\", expect_size=\"25822208\"] \n  21 -> 22 [size =\"25822208\"]\n  22 [size=\"82087936\", alpha=\"0.00\", expect_size=\"41043968\"] \n  22 -> 23 [size =\"41043968\"]\n  23 [size=\"11429888\", alpha=\"0.04\", expect_size=\"5714944\"] \n  23 -> 24 [size =\"5714944\"]\n  24 [size=\"63064064\", alpha=\"0.09\", expect_size=\"31532032\"] \n  24 -> 25 [size =\"31532032\"]\n  25 [size=\"51210240\", alpha=\"0.13\", expect_size=\"25605120\"] \n  25 -> 26 [size =\"25605120\"]\n  26 [size=\"23814144\", alpha=\"0.03\", expect_size=\"11907072\"] \n  26 -> 27 [size =\"11907072\"]\n  27 [size=\"33828864\", alpha=\"0.05\", expect_size=\"16914432\"] \n  27 -> 28 [size =\"16914432\"]\n  28 [size=\"92686336\", alpha=\"0.13\", expect_size=\"46343168\"] \n  28 -> 29 [size =\"46343168\"]\n  29 [size=\"34996224\", alpha=\"0.08\", expect_size=\"17498112\"] \n  29 -> 30 [size =\"17498112\"]\n  30 [size=\"38760448\", alpha=\"0.16\", expect_size=\"19380224\"] \n  30 -> 31 [size =\"19380224\"]\n  31 [size=\"22142976\", alpha=\"0.09\", expect_size=\"11071488\"] \n  31 -> 32 [size =\"11071488\"]\n  32 [size=\"34418688\", alpha=\"0.01\", expect_size=\"17209344\"] \n  32 -> 33 [size =\"17209344\"]\n  33 [size=\"36624384\", alpha=\"0.14\", expect_size=\"18312192\"] \n  33 -> 34 [size =\"18312192\"]\n  34 [size=\"57436160\", alpha=\"0.01\", expect_size=\"28718080\"] \n  34 -> 35 [size =\"28718080\"]\n  35 [size=\"98924544\", alpha=\"0.14\", expect_size=\"49462272\"] \n  35 -> 36 [size =\"49462272\"]\n  36 [size=\"66666496\", alpha=\"0.20\", expect_size=\"33333248\"] \n  36 -> 37 [size =\"33333248\"]\n  37 [size=\"79497216\", alpha=\"0.14\", expect_size=\"39748608\"] \n  37 -> 38 [size =\"39748608\"]\n  38 [size=\"103731200\", alpha=\"0.18\", expect_size=\"51865600\"] \n  38 -> 39 [size =\"51865600\"]\n  39 [size=\"69722112\", alpha=\"0.02\", expect_size=\"34861056\"] \n  39 -> 40 [size =\"34861056\"]\n  40 [size=\"11075584\", alpha=\"0.12\", expect_size=\"5537792\"] \n  40 -> 41 [size =\"5537792\"]\n  41 [size=\"86513664\", alpha=\"0.11\", expect_size=\"43256832\"] \n  41 -> 42 [size =\"43256832\"]\n  42 [size=\"36231168\", alpha=\"0.05\", expect_size=\"18115584\"] \n  42 -> 43 [size =\"18115584\"]\n  43 [size=\"39002112\", alpha=\"0.19\", expect_size=\"19501056\"] \n  43 -> 44 [size =\"19501056\"]\n  44 [size=\"11966464\", alpha=\"0.04\", expect_size=\"5983232\"] \n  44 -> 45 [size =\"5983232\"]\n  45 [size=\"14350336\", alpha=\"0.18\", expect_size=\"7175168\"] \n  45 -> 46 [size =\"7175168\"]\n  46 [size=\"78073856\", alpha=\"0.14\", expect_size=\"39036928\"] \n  46 -> 47 [size =\"39036928\"]\n  47 [size=\"77195264\", alpha=\"0.16\", expect_size=\"38597632\"] \n  47 -> 48 [size =\"38597632\"]\n  48 [size=\"49174528\", alpha=\"0.15\", expect_size=\"24587264\"] \n  48 -> 49 [size =\"24587264\"]\n  49 [size=\"41465856\", alpha=\"0.19\", expect_size=\"20732928\"] \n  49 -> 50 [size =\"20732928\"]\n  50 [size=\"50954240\", alpha=\"0.09\", expect_size=\"25477120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.270.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32391680\", alpha=\"0.05\", expect_size=\"12956672\"] \n  1 -> 7 [size =\"12956672\"]\n  2 [size=\"50862080\", alpha=\"0.10\", expect_size=\"20344832\"] \n  2 -> 7 [size =\"20344832\"]\n  3 [size=\"63029760\", alpha=\"0.05\", expect_size=\"25211904\"] \n  3 -> 7 [size =\"25211904\"]\n  4 [size=\"118256640\", alpha=\"0.04\", expect_size=\"47302656\"] \n  4 -> 8 [size =\"47302656\"]\n  4 -> 9 [size =\"47302656\"]\n  4 -> 10 [size =\"47302656\"]\n  4 -> 11 [size =\"47302656\"]\n  4 -> 12 [size =\"47302656\"]\n  5 [size=\"61242880\", alpha=\"0.20\", expect_size=\"24497152\"] \n  6 [size=\"24737280\", alpha=\"0.02\", expect_size=\"9894912\"] \n  7 [size=\"34337280\", alpha=\"0.02\", expect_size=\"13734912\"] \n  7 -> 16 [size =\"13734912\"]\n  7 -> 17 [size =\"13734912\"]\n  8 [size=\"53616640\", alpha=\"0.10\", expect_size=\"21446656\"] \n  8 -> 14 [size =\"21446656\"]\n  8 -> 17 [size =\"21446656\"]\n  9 [size=\"99023360\", alpha=\"0.02\", expect_size=\"39609344\"] \n  9 -> 15 [size =\"39609344\"]\n  9 -> 16 [size =\"39609344\"]\n  9 -> 17 [size =\"39609344\"]\n  10 [size=\"66982400\", alpha=\"0.03\", expect_size=\"26792960\"] \n  11 [size=\"22535680\", alpha=\"0.17\", expect_size=\"9014272\"] \n  11 -> 13 [size =\"9014272\"]\n  11 -> 16 [size =\"9014272\"]\n  11 -> 17 [size =\"9014272\"]\n  11 -> 18 [size =\"9014272\"]\n  12 [size=\"54120960\", alpha=\"0.10\", expect_size=\"21648384\"] \n  12 -> 13 [size =\"21648384\"]\n  12 -> 16 [size =\"21648384\"]\n  12 -> 18 [size =\"21648384\"]\n  13 [size=\"114598400\", alpha=\"0.19\", expect_size=\"45839360\"] \n  13 -> 21 [size =\"45839360\"]\n  13 -> 22 [size =\"45839360\"]\n  13 -> 23 [size =\"45839360\"]\n  14 [size=\"25576960\", alpha=\"0.18\", expect_size=\"10230784\"] \n  14 -> 19 [size =\"10230784\"]\n  14 -> 23 [size =\"10230784\"]\n  14 -> 23 [size =\"10230784\"]\n  14 -> 24 [size =\"10230784\"]\n  15 [size=\"50606080\", alpha=\"0.12\", expect_size=\"20242432\"] \n  15 -> 22 [size =\"20242432\"]\n  15 -> 24 [size =\"20242432\"]\n  16 [size=\"47918080\", alpha=\"0.15\", expect_size=\"19167232\"] \n  16 -> 20 [size =\"19167232\"]\n  16 -> 24 [size =\"19167232\"]\n  16 -> 25 [size =\"19167232\"]\n  17 [size=\"62369280\", alpha=\"0.08\", expect_size=\"24947712\"] \n  17 -> 20 [size =\"24947712\"]\n  17 -> 25 [size =\"24947712\"]\n  18 [size=\"75809280\", alpha=\"0.01\", expect_size=\"30323712\"] \n  18 -> 22 [size =\"30323712\"]\n  18 -> 23 [size =\"30323712\"]\n  18 -> 25 [size =\"30323712\"]\n  19 [size=\"14274560\", alpha=\"0.19\", expect_size=\"5709824\"] \n  19 -> 27 [size =\"5709824\"]\n  19 -> 28 [size =\"5709824\"]\n  19 -> 31 [size =\"5709824\"]\n  20 [size=\"27479040\", alpha=\"0.06\", expect_size=\"10991616\"] \n  20 -> 29 [size =\"10991616\"]\n  20 -> 32 [size =\"10991616\"]\n  21 [size=\"43335680\", alpha=\"0.16\", expect_size=\"17334272\"] \n  21 -> 32 [size =\"17334272\"]\n  22 [size=\"26544640\", alpha=\"0.13\", expect_size=\"10617856\"] \n  22 -> 26 [size =\"10617856\"]\n  22 -> 30 [size =\"10617856\"]\n  23 [size=\"82634240\", alpha=\"0.18\", expect_size=\"33053696\"] \n  23 -> 27 [size =\"33053696\"]\n  23 -> 32 [size =\"33053696\"]\n  24 [size=\"74723840\", alpha=\"0.02\", expect_size=\"29889536\"] \n  24 -> 26 [size =\"29889536\"]\n  24 -> 27 [size =\"29889536\"]\n  24 -> 31 [size =\"29889536\"]\n  25 [size=\"60272640\", alpha=\"0.13\", expect_size=\"24109056\"] \n  25 -> 27 [size =\"24109056\"]\n  25 -> 31 [size =\"24109056\"]\n  25 -> 32 [size =\"24109056\"]\n  26 [size=\"129049600\", alpha=\"0.06\", expect_size=\"51619840\"] \n  26 -> 35 [size =\"51619840\"]\n  26 -> 38 [size =\"51619840\"]\n  27 [size=\"97945600\", alpha=\"0.03\", expect_size=\"39178240\"] \n  27 -> 34 [size =\"39178240\"]\n  27 -> 35 [size =\"39178240\"]\n  28 [size=\"26977280\", alpha=\"0.07\", expect_size=\"10790912\"] \n  28 -> 33 [size =\"10790912\"]\n  28 -> 35 [size =\"10790912\"]\n  28 -> 38 [size =\"10790912\"]\n  29 [size=\"33781760\", alpha=\"0.05\", expect_size=\"13512704\"] \n  29 -> 34 [size =\"13512704\"]\n  29 -> 36 [size =\"13512704\"]\n  29 -> 38 [size =\"13512704\"]\n  30 [size=\"25016320\", alpha=\"0.13\", expect_size=\"10006528\"] \n  30 -> 33 [size =\"10006528\"]\n  30 -> 34 [size =\"10006528\"]\n  31 [size=\"58736640\", alpha=\"0.02\", expect_size=\"23494656\"] \n  31 -> 33 [size =\"23494656\"]\n  31 -> 34 [size =\"23494656\"]\n  31 -> 36 [size =\"23494656\"]\n  32 [size=\"36262400\", alpha=\"0.18\", expect_size=\"14504960\"] \n  32 -> 33 [size =\"14504960\"]\n  32 -> 35 [size =\"14504960\"]\n  32 -> 37 [size =\"14504960\"]\n  33 [size=\"113318400\", alpha=\"0.11\", expect_size=\"45327360\"] \n  33 -> 40 [size =\"45327360\"]\n  33 -> 42 [size =\"45327360\"]\n  34 [size=\"103900160\", alpha=\"0.06\", expect_size=\"41560064\"] \n  34 -> 43 [size =\"41560064\"]\n  34 -> 44 [size =\"41560064\"]\n  35 [size=\"113154560\", alpha=\"0.08\", expect_size=\"45261824\"] \n  35 -> 43 [size =\"45261824\"]\n  35 -> 44 [size =\"45261824\"]\n  36 [size=\"71260160\", alpha=\"0.16\", expect_size=\"28504064\"] \n  36 -> 39 [size =\"28504064\"]\n  36 -> 40 [size =\"28504064\"]\n  36 -> 41 [size =\"28504064\"]\n  36 -> 42 [size =\"28504064\"]\n  36 -> 43 [size =\"28504064\"]\n  37 [size=\"107809280\", alpha=\"0.12\", expect_size=\"43123712\"] \n  37 -> 41 [size =\"43123712\"]\n  37 -> 42 [size =\"43123712\"]\n  38 [size=\"126072320\", alpha=\"0.18\", expect_size=\"50428928\"] \n  38 -> 40 [size =\"50428928\"]\n  38 -> 41 [size =\"50428928\"]\n  38 -> 43 [size =\"50428928\"]\n  38 -> 44 [size =\"50428928\"]\n  39 [size=\"48593920\", alpha=\"0.05\", expect_size=\"19437568\"] \n  40 [size=\"79257600\", alpha=\"0.14\", expect_size=\"31703040\"] \n  40 -> 46 [size =\"31703040\"]\n  40 -> 48 [size =\"31703040\"]\n  41 [size=\"36011520\", alpha=\"0.09\", expect_size=\"14404608\"] \n  41 -> 45 [size =\"14404608\"]\n  41 -> 47 [size =\"14404608\"]\n  41 -> 48 [size =\"14404608\"]\n  41 -> 49 [size =\"14404608\"]\n  42 [size=\"46246400\", alpha=\"0.05\", expect_size=\"18498560\"] \n  42 -> 45 [size =\"18498560\"]\n  42 -> 47 [size =\"18498560\"]\n  43 [size=\"33013760\", alpha=\"0.14\", expect_size=\"13205504\"] \n  43 -> 45 [size =\"13205504\"]\n  43 -> 47 [size =\"13205504\"]\n  43 -> 50 [size =\"13205504\"]\n  44 [size=\"97804800\", alpha=\"0.12\", expect_size=\"39121920\"] \n  44 -> 47 [size =\"39121920\"]\n  45 [size=\"17162240\", alpha=\"0.19\", expect_size=\"6864896\"] \n  46 [size=\"64517120\", alpha=\"0.06\", expect_size=\"25806848\"] \n  47 [size=\"38750720\", alpha=\"0.07\", expect_size=\"15500288\"] \n  48 [size=\"107092480\", alpha=\"0.10\", expect_size=\"42836992\"] \n  49 [size=\"96314880\", alpha=\"0.17\", expect_size=\"38525952\"] \n  50 [size=\"125552640\", alpha=\"0.05\", expect_size=\"50221056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.271.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61375147\", alpha=\"0.06\", expect_size=\"18412544\"] \n  1 -> 9 [size =\"18412544\"]\n  1 -> 11 [size =\"18412544\"]\n  1 -> 12 [size =\"18412544\"]\n  2 [size=\"40919040\", alpha=\"0.02\", expect_size=\"12275712\"] \n  2 -> 9 [size =\"12275712\"]\n  2 -> 12 [size =\"12275712\"]\n  2 -> 14 [size =\"12275712\"]\n  3 [size=\"160952320\", alpha=\"0.02\", expect_size=\"48285696\"] \n  3 -> 11 [size =\"48285696\"]\n  4 [size=\"163181227\", alpha=\"0.11\", expect_size=\"48954368\"] \n  4 -> 8 [size =\"48954368\"]\n  4 -> 9 [size =\"48954368\"]\n  4 -> 10 [size =\"48954368\"]\n  4 -> 11 [size =\"48954368\"]\n  4 -> 12 [size =\"48954368\"]\n  5 [size=\"26917547\", alpha=\"0.08\", expect_size=\"8075264\"] \n  5 -> 8 [size =\"8075264\"]\n  5 -> 10 [size =\"8075264\"]\n  5 -> 11 [size =\"8075264\"]\n  5 -> 11 [size =\"8075264\"]\n  5 -> 12 [size =\"8075264\"]\n  5 -> 14 [size =\"8075264\"]\n  6 [size=\"72369493\", alpha=\"0.02\", expect_size=\"21710848\"] \n  6 -> 8 [size =\"21710848\"]\n  6 -> 9 [size =\"21710848\"]\n  6 -> 12 [size =\"21710848\"]\n  6 -> 13 [size =\"21710848\"]\n  7 [size=\"113233920\", alpha=\"0.16\", expect_size=\"33970176\"] \n  7 -> 12 [size =\"33970176\"]\n  7 -> 14 [size =\"33970176\"]\n  8 [size=\"171895467\", alpha=\"0.08\", expect_size=\"51568640\"] \n  8 -> 15 [size =\"51568640\"]\n  8 -> 20 [size =\"51568640\"]\n  8 -> 22 [size =\"51568640\"]\n  9 [size=\"126720000\", alpha=\"0.04\", expect_size=\"38016000\"] \n  9 -> 15 [size =\"38016000\"]\n  9 -> 18 [size =\"38016000\"]\n  9 -> 20 [size =\"38016000\"]\n  9 -> 22 [size =\"38016000\"]\n  10 [size=\"142233600\", alpha=\"0.09\", expect_size=\"42670080\"] \n  10 -> 15 [size =\"42670080\"]\n  10 -> 16 [size =\"42670080\"]\n  10 -> 17 [size =\"42670080\"]\n  10 -> 18 [size =\"42670080\"]\n  10 -> 19 [size =\"42670080\"]\n  10 -> 20 [size =\"42670080\"]\n  11 [size=\"97583787\", alpha=\"0.07\", expect_size=\"29275136\"] \n  11 -> 15 [size =\"29275136\"]\n  11 -> 16 [size =\"29275136\"]\n  11 -> 17 [size =\"29275136\"]\n  11 -> 20 [size =\"29275136\"]\n  11 -> 22 [size =\"29275136\"]\n  12 [size=\"143247360\", alpha=\"0.15\", expect_size=\"42974208\"] \n  12 -> 15 [size =\"42974208\"]\n  12 -> 16 [size =\"42974208\"]\n  12 -> 17 [size =\"42974208\"]\n  12 -> 18 [size =\"42974208\"]\n  12 -> 19 [size =\"42974208\"]\n  12 -> 20 [size =\"42974208\"]\n  12 -> 22 [size =\"42974208\"]\n  13 [size=\"162276693\", alpha=\"0.13\", expect_size=\"48683008\"] \n  13 -> 15 [size =\"48683008\"]\n  13 -> 16 [size =\"48683008\"]\n  13 -> 17 [size =\"48683008\"]\n  13 -> 19 [size =\"48683008\"]\n  13 -> 19 [size =\"48683008\"]\n  13 -> 20 [size =\"48683008\"]\n  13 -> 21 [size =\"48683008\"]\n  13 -> 22 [size =\"48683008\"]\n  14 [size=\"23033173\", alpha=\"0.10\", expect_size=\"6909952\"] \n  14 -> 15 [size =\"6909952\"]\n  14 -> 16 [size =\"6909952\"]\n  14 -> 22 [size =\"6909952\"]\n  15 [size=\"108571307\", alpha=\"0.16\", expect_size=\"32571392\"] \n  15 -> 23 [size =\"32571392\"]\n  15 -> 24 [size =\"32571392\"]\n  15 -> 25 [size =\"32571392\"]\n  15 -> 26 [size =\"32571392\"]\n  15 -> 27 [size =\"32571392\"]\n  16 [size=\"170403840\", alpha=\"0.09\", expect_size=\"51121152\"] \n  16 -> 23 [size =\"51121152\"]\n  16 -> 24 [size =\"51121152\"]\n  16 -> 25 [size =\"51121152\"]\n  16 -> 26 [size =\"51121152\"]\n  16 -> 28 [size =\"51121152\"]\n  17 [size=\"27934720\", alpha=\"0.11\", expect_size=\"8380416\"] \n  17 -> 23 [size =\"8380416\"]\n  17 -> 24 [size =\"8380416\"]\n  17 -> 26 [size =\"8380416\"]\n  17 -> 26 [size =\"8380416\"]\n  17 -> 29 [size =\"8380416\"]\n  18 [size=\"156224853\", alpha=\"0.09\", expect_size=\"46867456\"] \n  18 -> 23 [size =\"46867456\"]\n  18 -> 25 [size =\"46867456\"]\n  18 -> 26 [size =\"46867456\"]\n  18 -> 27 [size =\"46867456\"]\n  19 [size=\"62030507\", alpha=\"0.04\", expect_size=\"18609152\"] \n  19 -> 24 [size =\"18609152\"]\n  19 -> 27 [size =\"18609152\"]\n  19 -> 29 [size =\"18609152\"]\n  19 -> 30 [size =\"18609152\"]\n  20 [size=\"90371413\", alpha=\"0.17\", expect_size=\"27111424\"] \n  20 -> 23 [size =\"27111424\"]\n  20 -> 24 [size =\"27111424\"]\n  20 -> 25 [size =\"27111424\"]\n  20 -> 26 [size =\"27111424\"]\n  20 -> 27 [size =\"27111424\"]\n  20 -> 29 [size =\"27111424\"]\n  20 -> 30 [size =\"27111424\"]\n  21 [size=\"158180693\", alpha=\"0.16\", expect_size=\"47454208\"] \n  21 -> 23 [size =\"47454208\"]\n  21 -> 25 [size =\"47454208\"]\n  21 -> 29 [size =\"47454208\"]\n  21 -> 30 [size =\"47454208\"]\n  22 [size=\"53022720\", alpha=\"0.18\", expect_size=\"15906816\"] \n  22 -> 23 [size =\"15906816\"]\n  22 -> 25 [size =\"15906816\"]\n  22 -> 26 [size =\"15906816\"]\n  22 -> 30 [size =\"15906816\"]\n  23 [size=\"172735147\", alpha=\"0.18\", expect_size=\"51820544\"] \n  23 -> 31 [size =\"51820544\"]\n  23 -> 33 [size =\"51820544\"]\n  23 -> 35 [size =\"51820544\"]\n  24 [size=\"117514240\", alpha=\"0.17\", expect_size=\"35254272\"] \n  24 -> 32 [size =\"35254272\"]\n  25 [size=\"37785600\", alpha=\"0.17\", expect_size=\"11335680\"] \n  25 -> 31 [size =\"11335680\"]\n  25 -> 32 [size =\"11335680\"]\n  25 -> 33 [size =\"11335680\"]\n  26 [size=\"167174827\", alpha=\"0.04\", expect_size=\"50152448\"] \n  26 -> 31 [size =\"50152448\"]\n  26 -> 34 [size =\"50152448\"]\n  27 [size=\"81210027\", alpha=\"0.03\", expect_size=\"24363008\"] \n  27 -> 31 [size =\"24363008\"]\n  27 -> 33 [size =\"24363008\"]\n  27 -> 34 [size =\"24363008\"]\n  27 -> 35 [size =\"24363008\"]\n  28 [size=\"164232533\", alpha=\"0.02\", expect_size=\"49269760\"] \n  29 [size=\"76765867\", alpha=\"0.14\", expect_size=\"23029760\"] \n  29 -> 33 [size =\"23029760\"]\n  29 -> 35 [size =\"23029760\"]\n  30 [size=\"104710827\", alpha=\"0.03\", expect_size=\"31413248\"] \n  30 -> 31 [size =\"31413248\"]\n  30 -> 32 [size =\"31413248\"]\n  31 [size=\"81029120\", alpha=\"0.02\", expect_size=\"24308736\"] \n  31 -> 36 [size =\"24308736\"]\n  31 -> 39 [size =\"24308736\"]\n  31 -> 42 [size =\"24308736\"]\n  32 [size=\"49619627\", alpha=\"0.16\", expect_size=\"14885888\"] \n  32 -> 36 [size =\"14885888\"]\n  32 -> 38 [size =\"14885888\"]\n  32 -> 41 [size =\"14885888\"]\n  33 [size=\"33925120\", alpha=\"0.10\", expect_size=\"10177536\"] \n  33 -> 36 [size =\"10177536\"]\n  33 -> 37 [size =\"10177536\"]\n  33 -> 38 [size =\"10177536\"]\n  33 -> 40 [size =\"10177536\"]\n  33 -> 43 [size =\"10177536\"]\n  34 [size=\"20135253\", alpha=\"0.03\", expect_size=\"6040576\"] \n  34 -> 36 [size =\"6040576\"]\n  34 -> 37 [size =\"6040576\"]\n  34 -> 40 [size =\"6040576\"]\n  34 -> 41 [size =\"6040576\"]\n  34 -> 43 [size =\"6040576\"]\n  35 [size=\"153958400\", alpha=\"0.09\", expect_size=\"46187520\"] \n  35 -> 36 [size =\"46187520\"]\n  35 -> 38 [size =\"46187520\"]\n  35 -> 39 [size =\"46187520\"]\n  35 -> 40 [size =\"46187520\"]\n  35 -> 43 [size =\"46187520\"]\n  36 [size=\"130259627\", alpha=\"0.14\", expect_size=\"39077888\"] \n  36 -> 45 [size =\"39077888\"]\n  36 -> 48 [size =\"39077888\"]\n  37 [size=\"161228800\", alpha=\"0.20\", expect_size=\"48368640\"] \n  37 -> 44 [size =\"48368640\"]\n  37 -> 45 [size =\"48368640\"]\n  37 -> 46 [size =\"48368640\"]\n  38 [size=\"28047360\", alpha=\"0.04\", expect_size=\"8414208\"] \n  38 -> 44 [size =\"8414208\"]\n  39 [size=\"42420907\", alpha=\"0.13\", expect_size=\"12726272\"] \n  39 -> 44 [size =\"12726272\"]\n  39 -> 45 [size =\"12726272\"]\n  39 -> 48 [size =\"12726272\"]\n  40 [size=\"156310187\", alpha=\"0.12\", expect_size=\"46893056\"] \n  40 -> 44 [size =\"46893056\"]\n  41 [size=\"22613333\", alpha=\"0.08\", expect_size=\"6784000\"] \n  41 -> 44 [size =\"6784000\"]\n  41 -> 45 [size =\"6784000\"]\n  41 -> 46 [size =\"6784000\"]\n  41 -> 48 [size =\"6784000\"]\n  42 [size=\"36014080\", alpha=\"0.10\", expect_size=\"10804224\"] \n  42 -> 44 [size =\"10804224\"]\n  42 -> 45 [size =\"10804224\"]\n  42 -> 47 [size =\"10804224\"]\n  42 -> 48 [size =\"10804224\"]\n  43 [size=\"165000533\", alpha=\"0.11\", expect_size=\"49500160\"] \n  43 -> 44 [size =\"49500160\"]\n  43 -> 45 [size =\"49500160\"]\n  43 -> 48 [size =\"49500160\"]\n  44 [size=\"82510507\", alpha=\"0.04\", expect_size=\"24753152\"] \n  44 -> 49 [size =\"24753152\"]\n  44 -> 50 [size =\"24753152\"]\n  45 [size=\"108680533\", alpha=\"0.00\", expect_size=\"32604160\"] \n  45 -> 50 [size =\"32604160\"]\n  46 [size=\"20036267\", alpha=\"0.16\", expect_size=\"6010880\"] \n  46 -> 50 [size =\"6010880\"]\n  47 [size=\"126788267\", alpha=\"0.19\", expect_size=\"38036480\"] \n  47 -> 49 [size =\"38036480\"]\n  47 -> 50 [size =\"38036480\"]\n  48 [size=\"124829013\", alpha=\"0.01\", expect_size=\"37448704\"] \n  48 -> 49 [size =\"37448704\"]\n  48 -> 50 [size =\"37448704\"]\n  49 [size=\"152907093\", alpha=\"0.11\", expect_size=\"45872128\"] \n  50 [size=\"98293760\", alpha=\"0.11\", expect_size=\"29488128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.272.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122140160\", alpha=\"0.09\", expect_size=\"48856064\"] \n  1 -> 45 [size =\"48856064\"]\n  1 -> 48 [size =\"48856064\"]\n  2 [size=\"117068800\", alpha=\"0.16\", expect_size=\"46827520\"] \n  2 -> 43 [size =\"46827520\"]\n  2 -> 44 [size =\"46827520\"]\n  2 -> 47 [size =\"46827520\"]\n  2 -> 48 [size =\"46827520\"]\n  3 [size=\"118361600\", alpha=\"0.16\", expect_size=\"47344640\"] \n  3 -> 44 [size =\"47344640\"]\n  4 [size=\"69212160\", alpha=\"0.05\", expect_size=\"27684864\"] \n  4 -> 46 [size =\"27684864\"]\n  4 -> 48 [size =\"27684864\"]\n  5 [size=\"60165120\", alpha=\"0.20\", expect_size=\"24066048\"] \n  5 -> 49 [size =\"24066048\"]\n  6 [size=\"67287040\", alpha=\"0.17\", expect_size=\"26914816\"] \n  6 -> 43 [size =\"26914816\"]\n  6 -> 44 [size =\"26914816\"]\n  6 -> 48 [size =\"26914816\"]\n  6 -> 49 [size =\"26914816\"]\n  7 [size=\"37903360\", alpha=\"0.16\", expect_size=\"15161344\"] \n  7 -> 43 [size =\"15161344\"]\n  7 -> 46 [size =\"15161344\"]\n  7 -> 47 [size =\"15161344\"]\n  8 [size=\"24663040\", alpha=\"0.01\", expect_size=\"9865216\"] \n  8 -> 43 [size =\"9865216\"]\n  8 -> 46 [size =\"9865216\"]\n  8 -> 48 [size =\"9865216\"]\n  9 [size=\"76398080\", alpha=\"0.00\", expect_size=\"30559232\"] \n  9 -> 43 [size =\"30559232\"]\n  9 -> 44 [size =\"30559232\"]\n  9 -> 47 [size =\"30559232\"]\n  9 -> 48 [size =\"30559232\"]\n  9 -> 49 [size =\"30559232\"]\n  10 [size=\"27189760\", alpha=\"0.16\", expect_size=\"10875904\"] \n  10 -> 49 [size =\"10875904\"]\n  11 [size=\"91002880\", alpha=\"0.05\", expect_size=\"36401152\"] \n  11 -> 47 [size =\"36401152\"]\n  11 -> 48 [size =\"36401152\"]\n  11 -> 49 [size =\"36401152\"]\n  11 -> 50 [size =\"36401152\"]\n  12 [size=\"28364800\", alpha=\"0.04\", expect_size=\"11345920\"] \n  12 -> 43 [size =\"11345920\"]\n  12 -> 44 [size =\"11345920\"]\n  12 -> 47 [size =\"11345920\"]\n  12 -> 49 [size =\"11345920\"]\n  12 -> 50 [size =\"11345920\"]\n  13 [size=\"123776000\", alpha=\"0.05\", expect_size=\"49510400\"] \n  13 -> 44 [size =\"49510400\"]\n  13 -> 47 [size =\"49510400\"]\n  14 [size=\"101632000\", alpha=\"0.00\", expect_size=\"40652800\"] \n  14 -> 44 [size =\"40652800\"]\n  14 -> 47 [size =\"40652800\"]\n  15 [size=\"128519680\", alpha=\"0.16\", expect_size=\"51407872\"] \n  15 -> 43 [size =\"51407872\"]\n  16 [size=\"126371840\", alpha=\"0.01\", expect_size=\"50548736\"] \n  16 -> 46 [size =\"50548736\"]\n  17 [size=\"111252480\", alpha=\"0.20\", expect_size=\"44500992\"] \n  17 -> 43 [size =\"44500992\"]\n  17 -> 45 [size =\"44500992\"]\n  18 [size=\"88079360\", alpha=\"0.02\", expect_size=\"35231744\"] \n  18 -> 47 [size =\"35231744\"]\n  19 [size=\"94947840\", alpha=\"0.11\", expect_size=\"37979136\"] \n  19 -> 44 [size =\"37979136\"]\n  19 -> 46 [size =\"37979136\"]\n  20 [size=\"95733760\", alpha=\"0.14\", expect_size=\"38293504\"] \n  20 -> 45 [size =\"38293504\"]\n  20 -> 47 [size =\"38293504\"]\n  20 -> 48 [size =\"38293504\"]\n  20 -> 49 [size =\"38293504\"]\n  21 [size=\"73256960\", alpha=\"0.16\", expect_size=\"29302784\"] \n  21 -> 44 [size =\"29302784\"]\n  21 -> 46 [size =\"29302784\"]\n  21 -> 48 [size =\"29302784\"]\n  22 [size=\"100313600\", alpha=\"0.15\", expect_size=\"40125440\"] \n  22 -> 44 [size =\"40125440\"]\n  22 -> 47 [size =\"40125440\"]\n  22 -> 48 [size =\"40125440\"]\n  23 [size=\"124264960\", alpha=\"0.12\", expect_size=\"49705984\"] \n  23 -> 47 [size =\"49705984\"]\n  23 -> 48 [size =\"49705984\"]\n  24 [size=\"38568960\", alpha=\"0.18\", expect_size=\"15427584\"] \n  24 -> 44 [size =\"15427584\"]\n  24 -> 47 [size =\"15427584\"]\n  25 [size=\"39377920\", alpha=\"0.13\", expect_size=\"15751168\"] \n  26 [size=\"17574400\", alpha=\"0.16\", expect_size=\"7029760\"] \n  26 -> 47 [size =\"7029760\"]\n  26 -> 48 [size =\"7029760\"]\n  27 [size=\"23170560\", alpha=\"0.04\", expect_size=\"9268224\"] \n  28 [size=\"21708800\", alpha=\"0.14\", expect_size=\"8683520\"] \n  28 -> 44 [size =\"8683520\"]\n  28 -> 48 [size =\"8683520\"]\n  29 [size=\"31198720\", alpha=\"0.15\", expect_size=\"12479488\"] \n  29 -> 44 [size =\"12479488\"]\n  30 [size=\"96015360\", alpha=\"0.18\", expect_size=\"38406144\"] \n  30 -> 44 [size =\"38406144\"]\n  30 -> 46 [size =\"38406144\"]\n  30 -> 48 [size =\"38406144\"]\n  31 [size=\"60894720\", alpha=\"0.14\", expect_size=\"24357888\"] \n  31 -> 46 [size =\"24357888\"]\n  31 -> 47 [size =\"24357888\"]\n  31 -> 49 [size =\"24357888\"]\n  32 [size=\"34869760\", alpha=\"0.13\", expect_size=\"13947904\"] \n  32 -> 46 [size =\"13947904\"]\n  32 -> 47 [size =\"13947904\"]\n  32 -> 49 [size =\"13947904\"]\n  33 [size=\"121904640\", alpha=\"0.10\", expect_size=\"48761856\"] \n  33 -> 43 [size =\"48761856\"]\n  33 -> 47 [size =\"48761856\"]\n  33 -> 48 [size =\"48761856\"]\n  33 -> 49 [size =\"48761856\"]\n  34 [size=\"73361920\", alpha=\"0.03\", expect_size=\"29344768\"] \n  34 -> 43 [size =\"29344768\"]\n  34 -> 44 [size =\"29344768\"]\n  34 -> 48 [size =\"29344768\"]\n  34 -> 49 [size =\"29344768\"]\n  35 [size=\"63311360\", alpha=\"0.15\", expect_size=\"25324544\"] \n  35 -> 43 [size =\"25324544\"]\n  35 -> 49 [size =\"25324544\"]\n  36 [size=\"20843520\", alpha=\"0.06\", expect_size=\"8337408\"] \n  36 -> 45 [size =\"8337408\"]\n  36 -> 49 [size =\"8337408\"]\n  36 -> 50 [size =\"8337408\"]\n  37 [size=\"118105600\", alpha=\"0.14\", expect_size=\"47242240\"] \n  37 -> 44 [size =\"47242240\"]\n  37 -> 46 [size =\"47242240\"]\n  37 -> 47 [size =\"47242240\"]\n  37 -> 48 [size =\"47242240\"]\n  37 -> 49 [size =\"47242240\"]\n  37 -> 50 [size =\"47242240\"]\n  38 [size=\"25999360\", alpha=\"0.15\", expect_size=\"10399744\"] \n  38 -> 45 [size =\"10399744\"]\n  38 -> 48 [size =\"10399744\"]\n  39 [size=\"109977600\", alpha=\"0.09\", expect_size=\"43991040\"] \n  39 -> 47 [size =\"43991040\"]\n  39 -> 48 [size =\"43991040\"]\n  40 [size=\"79441920\", alpha=\"0.18\", expect_size=\"31776768\"] \n  40 -> 45 [size =\"31776768\"]\n  40 -> 47 [size =\"31776768\"]\n  41 [size=\"66434560\", alpha=\"0.17\", expect_size=\"26573824\"] \n  41 -> 44 [size =\"26573824\"]\n  41 -> 48 [size =\"26573824\"]\n  42 [size=\"30891520\", alpha=\"0.10\", expect_size=\"12356608\"] \n  42 -> 43 [size =\"12356608\"]\n  42 -> 44 [size =\"12356608\"]\n  42 -> 49 [size =\"12356608\"]\n  43 [size=\"106035200\", alpha=\"0.03\", expect_size=\"42414080\"] \n  44 [size=\"48640000\", alpha=\"0.19\", expect_size=\"19456000\"] \n  45 [size=\"65198080\", alpha=\"0.00\", expect_size=\"26079232\"] \n  46 [size=\"35189760\", alpha=\"0.02\", expect_size=\"14075904\"] \n  47 [size=\"71882240\", alpha=\"0.06\", expect_size=\"28752896\"] \n  48 [size=\"37493760\", alpha=\"0.11\", expect_size=\"14997504\"] \n  49 [size=\"124961280\", alpha=\"0.19\", expect_size=\"49984512\"] \n  50 [size=\"62233600\", alpha=\"0.01\", expect_size=\"24893440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.273.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50467840\", alpha=\"0.08\", expect_size=\"20187136\"] \n  1 -> 9 [size =\"20187136\"]\n  1 -> 10 [size =\"20187136\"]\n  1 -> 11 [size =\"20187136\"]\n  1 -> 12 [size =\"20187136\"]\n  1 -> 13 [size =\"20187136\"]\n  1 -> 14 [size =\"20187136\"]\n  1 -> 19 [size =\"20187136\"]\n  2 [size=\"71598080\", alpha=\"0.06\", expect_size=\"28639232\"] \n  2 -> 11 [size =\"28639232\"]\n  2 -> 13 [size =\"28639232\"]\n  2 -> 14 [size =\"28639232\"]\n  2 -> 15 [size =\"28639232\"]\n  2 -> 16 [size =\"28639232\"]\n  2 -> 17 [size =\"28639232\"]\n  3 [size=\"47383040\", alpha=\"0.16\", expect_size=\"18953216\"] \n  3 -> 8 [size =\"18953216\"]\n  3 -> 11 [size =\"18953216\"]\n  3 -> 12 [size =\"18953216\"]\n  3 -> 13 [size =\"18953216\"]\n  3 -> 14 [size =\"18953216\"]\n  3 -> 16 [size =\"18953216\"]\n  3 -> 17 [size =\"18953216\"]\n  4 [size=\"56942080\", alpha=\"0.17\", expect_size=\"22776832\"] \n  4 -> 9 [size =\"22776832\"]\n  4 -> 11 [size =\"22776832\"]\n  4 -> 13 [size =\"22776832\"]\n  4 -> 14 [size =\"22776832\"]\n  4 -> 14 [size =\"22776832\"]\n  4 -> 16 [size =\"22776832\"]\n  5 [size=\"128156160\", alpha=\"0.14\", expect_size=\"51262464\"] \n  5 -> 8 [size =\"51262464\"]\n  5 -> 9 [size =\"51262464\"]\n  5 -> 11 [size =\"51262464\"]\n  5 -> 12 [size =\"51262464\"]\n  5 -> 13 [size =\"51262464\"]\n  5 -> 16 [size =\"51262464\"]\n  5 -> 18 [size =\"51262464\"]\n  6 [size=\"112194560\", alpha=\"0.14\", expect_size=\"44877824\"] \n  6 -> 11 [size =\"44877824\"]\n  6 -> 12 [size =\"44877824\"]\n  6 -> 13 [size =\"44877824\"]\n  6 -> 17 [size =\"44877824\"]\n  7 [size=\"110120960\", alpha=\"0.10\", expect_size=\"44048384\"] \n  7 -> 9 [size =\"44048384\"]\n  7 -> 11 [size =\"44048384\"]\n  7 -> 12 [size =\"44048384\"]\n  7 -> 13 [size =\"44048384\"]\n  7 -> 16 [size =\"44048384\"]\n  7 -> 17 [size =\"44048384\"]\n  8 [size=\"64399360\", alpha=\"0.13\", expect_size=\"25759744\"] \n  8 -> 22 [size =\"25759744\"]\n  8 -> 23 [size =\"25759744\"]\n  8 -> 24 [size =\"25759744\"]\n  8 -> 25 [size =\"25759744\"]\n  9 [size=\"98242560\", alpha=\"0.14\", expect_size=\"39297024\"] \n  9 -> 20 [size =\"39297024\"]\n  9 -> 22 [size =\"39297024\"]\n  10 [size=\"23004160\", alpha=\"0.05\", expect_size=\"9201664\"] \n  10 -> 20 [size =\"9201664\"]\n  10 -> 23 [size =\"9201664\"]\n  10 -> 24 [size =\"9201664\"]\n  11 [size=\"62077440\", alpha=\"0.19\", expect_size=\"24830976\"] \n  11 -> 20 [size =\"24830976\"]\n  11 -> 23 [size =\"24830976\"]\n  11 -> 24 [size =\"24830976\"]\n  11 -> 25 [size =\"24830976\"]\n  12 [size=\"108305920\", alpha=\"0.03\", expect_size=\"43322368\"] \n  12 -> 21 [size =\"43322368\"]\n  12 -> 22 [size =\"43322368\"]\n  12 -> 23 [size =\"43322368\"]\n  12 -> 24 [size =\"43322368\"]\n  12 -> 25 [size =\"43322368\"]\n  12 -> 26 [size =\"43322368\"]\n  13 [size=\"28436480\", alpha=\"0.14\", expect_size=\"11374592\"] \n  13 -> 20 [size =\"11374592\"]\n  13 -> 22 [size =\"11374592\"]\n  13 -> 23 [size =\"11374592\"]\n  13 -> 24 [size =\"11374592\"]\n  13 -> 26 [size =\"11374592\"]\n  13 -> 26 [size =\"11374592\"]\n  14 [size=\"125355520\", alpha=\"0.08\", expect_size=\"50142208\"] \n  14 -> 20 [size =\"50142208\"]\n  14 -> 22 [size =\"50142208\"]\n  14 -> 23 [size =\"50142208\"]\n  14 -> 24 [size =\"50142208\"]\n  14 -> 25 [size =\"50142208\"]\n  14 -> 26 [size =\"50142208\"]\n  15 [size=\"105681920\", alpha=\"0.00\", expect_size=\"42272768\"] \n  15 -> 20 [size =\"42272768\"]\n  15 -> 22 [size =\"42272768\"]\n  15 -> 23 [size =\"42272768\"]\n  15 -> 24 [size =\"42272768\"]\n  15 -> 25 [size =\"42272768\"]\n  16 [size=\"68111360\", alpha=\"0.11\", expect_size=\"27244544\"] \n  16 -> 20 [size =\"27244544\"]\n  16 -> 22 [size =\"27244544\"]\n  16 -> 23 [size =\"27244544\"]\n  16 -> 24 [size =\"27244544\"]\n  17 [size=\"31841280\", alpha=\"0.11\", expect_size=\"12736512\"] \n  17 -> 20 [size =\"12736512\"]\n  17 -> 21 [size =\"12736512\"]\n  17 -> 22 [size =\"12736512\"]\n  17 -> 23 [size =\"12736512\"]\n  17 -> 26 [size =\"12736512\"]\n  18 [size=\"90465280\", alpha=\"0.18\", expect_size=\"36186112\"] \n  18 -> 20 [size =\"36186112\"]\n  18 -> 21 [size =\"36186112\"]\n  18 -> 22 [size =\"36186112\"]\n  18 -> 23 [size =\"36186112\"]\n  19 [size=\"51307520\", alpha=\"0.05\", expect_size=\"20523008\"] \n  19 -> 20 [size =\"20523008\"]\n  19 -> 21 [size =\"20523008\"]\n  19 -> 22 [size =\"20523008\"]\n  19 -> 23 [size =\"20523008\"]\n  19 -> 24 [size =\"20523008\"]\n  20 [size=\"13913600\", alpha=\"0.13\", expect_size=\"5565440\"] \n  20 -> 28 [size =\"5565440\"]\n  20 -> 31 [size =\"5565440\"]\n  20 -> 33 [size =\"5565440\"]\n  20 -> 41 [size =\"5565440\"]\n  21 [size=\"41943040\", alpha=\"0.07\", expect_size=\"16777216\"] \n  21 -> 28 [size =\"16777216\"]\n  21 -> 29 [size =\"16777216\"]\n  21 -> 30 [size =\"16777216\"]\n  21 -> 31 [size =\"16777216\"]\n  21 -> 32 [size =\"16777216\"]\n  21 -> 34 [size =\"16777216\"]\n  21 -> 38 [size =\"16777216\"]\n  21 -> 39 [size =\"16777216\"]\n  22 [size=\"33303040\", alpha=\"0.11\", expect_size=\"13321216\"] \n  22 -> 31 [size =\"13321216\"]\n  22 -> 32 [size =\"13321216\"]\n  22 -> 35 [size =\"13321216\"]\n  22 -> 36 [size =\"13321216\"]\n  22 -> 40 [size =\"13321216\"]\n  22 -> 41 [size =\"13321216\"]\n  23 [size=\"52029440\", alpha=\"0.01\", expect_size=\"20811776\"] \n  23 -> 29 [size =\"20811776\"]\n  23 -> 31 [size =\"20811776\"]\n  23 -> 34 [size =\"20811776\"]\n  23 -> 41 [size =\"20811776\"]\n  24 [size=\"14906880\", alpha=\"0.18\", expect_size=\"5962752\"] \n  24 -> 27 [size =\"5962752\"]\n  24 -> 28 [size =\"5962752\"]\n  24 -> 29 [size =\"5962752\"]\n  24 -> 31 [size =\"5962752\"]\n  24 -> 33 [size =\"5962752\"]\n  24 -> 37 [size =\"5962752\"]\n  24 -> 39 [size =\"5962752\"]\n  24 -> 41 [size =\"5962752\"]\n  25 [size=\"62302720\", alpha=\"0.14\", expect_size=\"24921088\"] \n  25 -> 27 [size =\"24921088\"]\n  25 -> 28 [size =\"24921088\"]\n  25 -> 29 [size =\"24921088\"]\n  25 -> 30 [size =\"24921088\"]\n  25 -> 31 [size =\"24921088\"]\n  25 -> 33 [size =\"24921088\"]\n  25 -> 35 [size =\"24921088\"]\n  25 -> 37 [size =\"24921088\"]\n  25 -> 38 [size =\"24921088\"]\n  25 -> 41 [size =\"24921088\"]\n  26 [size=\"63155200\", alpha=\"0.08\", expect_size=\"25262080\"] \n  26 -> 28 [size =\"25262080\"]\n  26 -> 28 [size =\"25262080\"]\n  26 -> 29 [size =\"25262080\"]\n  26 -> 33 [size =\"25262080\"]\n  26 -> 34 [size =\"25262080\"]\n  26 -> 37 [size =\"25262080\"]\n  26 -> 39 [size =\"25262080\"]\n  26 -> 40 [size =\"25262080\"]\n  26 -> 41 [size =\"25262080\"]\n  26 -> 41 [size =\"25262080\"]\n  27 [size=\"126876160\", alpha=\"0.18\", expect_size=\"50750464\"] \n  27 -> 43 [size =\"50750464\"]\n  27 -> 44 [size =\"50750464\"]\n  27 -> 46 [size =\"50750464\"]\n  27 -> 47 [size =\"50750464\"]\n  27 -> 48 [size =\"50750464\"]\n  28 [size=\"76561920\", alpha=\"0.16\", expect_size=\"30624768\"] \n  28 -> 42 [size =\"30624768\"]\n  28 -> 45 [size =\"30624768\"]\n  28 -> 46 [size =\"30624768\"]\n  28 -> 49 [size =\"30624768\"]\n  29 [size=\"66088960\", alpha=\"0.09\", expect_size=\"26435584\"] \n  29 -> 42 [size =\"26435584\"]\n  29 -> 43 [size =\"26435584\"]\n  29 -> 44 [size =\"26435584\"]\n  29 -> 45 [size =\"26435584\"]\n  29 -> 46 [size =\"26435584\"]\n  29 -> 47 [size =\"26435584\"]\n  30 [size=\"97871360\", alpha=\"0.04\", expect_size=\"39148544\"] \n  30 -> 42 [size =\"39148544\"]\n  30 -> 43 [size =\"39148544\"]\n  30 -> 44 [size =\"39148544\"]\n  30 -> 46 [size =\"39148544\"]\n  30 -> 46 [size =\"39148544\"]\n  31 [size=\"56826880\", alpha=\"0.07\", expect_size=\"22730752\"] \n  31 -> 43 [size =\"22730752\"]\n  31 -> 46 [size =\"22730752\"]\n  31 -> 48 [size =\"22730752\"]\n  31 -> 50 [size =\"22730752\"]\n  32 [size=\"98278400\", alpha=\"0.06\", expect_size=\"39311360\"] \n  32 -> 43 [size =\"39311360\"]\n  32 -> 44 [size =\"39311360\"]\n  32 -> 46 [size =\"39311360\"]\n  32 -> 47 [size =\"39311360\"]\n  32 -> 50 [size =\"39311360\"]\n  33 [size=\"44789760\", alpha=\"0.08\", expect_size=\"17915904\"] \n  33 -> 42 [size =\"17915904\"]\n  33 -> 43 [size =\"17915904\"]\n  33 -> 45 [size =\"17915904\"]\n  33 -> 46 [size =\"17915904\"]\n  33 -> 47 [size =\"17915904\"]\n  33 -> 49 [size =\"17915904\"]\n  33 -> 50 [size =\"17915904\"]\n  34 [size=\"48601600\", alpha=\"0.09\", expect_size=\"19440640\"] \n  34 -> 44 [size =\"19440640\"]\n  34 -> 47 [size =\"19440640\"]\n  34 -> 48 [size =\"19440640\"]\n  34 -> 50 [size =\"19440640\"]\n  35 [size=\"35584000\", alpha=\"0.05\", expect_size=\"14233600\"] \n  35 -> 46 [size =\"14233600\"]\n  35 -> 47 [size =\"14233600\"]\n  35 -> 48 [size =\"14233600\"]\n  36 [size=\"120791040\", alpha=\"0.11\", expect_size=\"48316416\"] \n  36 -> 44 [size =\"48316416\"]\n  36 -> 45 [size =\"48316416\"]\n  36 -> 46 [size =\"48316416\"]\n  36 -> 49 [size =\"48316416\"]\n  36 -> 50 [size =\"48316416\"]\n  37 [size=\"49413120\", alpha=\"0.00\", expect_size=\"19765248\"] \n  37 -> 44 [size =\"19765248\"]\n  37 -> 45 [size =\"19765248\"]\n  38 [size=\"36431360\", alpha=\"0.02\", expect_size=\"14572544\"] \n  38 -> 44 [size =\"14572544\"]\n  38 -> 45 [size =\"14572544\"]\n  38 -> 47 [size =\"14572544\"]\n  39 [size=\"15173120\", alpha=\"0.11\", expect_size=\"6069248\"] \n  39 -> 44 [size =\"6069248\"]\n  39 -> 46 [size =\"6069248\"]\n  39 -> 47 [size =\"6069248\"]\n  39 -> 49 [size =\"6069248\"]\n  40 [size=\"70776320\", alpha=\"0.19\", expect_size=\"28310528\"] \n  40 -> 44 [size =\"28310528\"]\n  41 [size=\"95178240\", alpha=\"0.13\", expect_size=\"38071296\"] \n  41 -> 44 [size =\"38071296\"]\n  41 -> 46 [size =\"38071296\"]\n  41 -> 47 [size =\"38071296\"]\n  42 [size=\"19379200\", alpha=\"0.10\", expect_size=\"7751680\"] \n  43 [size=\"56550400\", alpha=\"0.14\", expect_size=\"22620160\"] \n  44 [size=\"104056320\", alpha=\"0.18\", expect_size=\"41622528\"] \n  45 [size=\"38213120\", alpha=\"0.10\", expect_size=\"15285248\"] \n  46 [size=\"69562880\", alpha=\"0.11\", expect_size=\"27825152\"] \n  47 [size=\"17180160\", alpha=\"0.11\", expect_size=\"6872064\"] \n  48 [size=\"17768960\", alpha=\"0.02\", expect_size=\"7107584\"] \n  49 [size=\"30717440\", alpha=\"0.01\", expect_size=\"12286976\"] \n  50 [size=\"94236160\", alpha=\"0.15\", expect_size=\"37694464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.274.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127593813\", alpha=\"0.18\", expect_size=\"38278144\"] \n  1 -> 24 [size =\"38278144\"]\n  1 -> 31 [size =\"38278144\"]\n  1 -> 32 [size =\"38278144\"]\n  1 -> 33 [size =\"38278144\"]\n  2 [size=\"93440000\", alpha=\"0.08\", expect_size=\"28032000\"] \n  2 -> 18 [size =\"28032000\"]\n  2 -> 19 [size =\"28032000\"]\n  2 -> 20 [size =\"28032000\"]\n  2 -> 21 [size =\"28032000\"]\n  2 -> 24 [size =\"28032000\"]\n  2 -> 25 [size =\"28032000\"]\n  2 -> 31 [size =\"28032000\"]\n  2 -> 32 [size =\"28032000\"]\n  2 -> 33 [size =\"28032000\"]\n  3 [size=\"71437653\", alpha=\"0.07\", expect_size=\"21431296\"] \n  3 -> 19 [size =\"21431296\"]\n  3 -> 19 [size =\"21431296\"]\n  3 -> 21 [size =\"21431296\"]\n  3 -> 21 [size =\"21431296\"]\n  3 -> 23 [size =\"21431296\"]\n  3 -> 24 [size =\"21431296\"]\n  3 -> 25 [size =\"21431296\"]\n  3 -> 29 [size =\"21431296\"]\n  3 -> 32 [size =\"21431296\"]\n  3 -> 33 [size =\"21431296\"]\n  4 [size=\"84578987\", alpha=\"0.13\", expect_size=\"25373696\"] \n  4 -> 18 [size =\"25373696\"]\n  4 -> 21 [size =\"25373696\"]\n  5 [size=\"127300267\", alpha=\"0.20\", expect_size=\"38190080\"] \n  5 -> 18 [size =\"38190080\"]\n  5 -> 20 [size =\"38190080\"]\n  5 -> 21 [size =\"38190080\"]\n  5 -> 24 [size =\"38190080\"]\n  5 -> 25 [size =\"38190080\"]\n  5 -> 33 [size =\"38190080\"]\n  6 [size=\"18636800\", alpha=\"0.03\", expect_size=\"5591040\"] \n  6 -> 18 [size =\"5591040\"]\n  6 -> 19 [size =\"5591040\"]\n  6 -> 20 [size =\"5591040\"]\n  6 -> 21 [size =\"5591040\"]\n  6 -> 26 [size =\"5591040\"]\n  6 -> 30 [size =\"5591040\"]\n  6 -> 31 [size =\"5591040\"]\n  6 -> 32 [size =\"5591040\"]\n  7 [size=\"111974400\", alpha=\"0.20\", expect_size=\"33592320\"] \n  7 -> 18 [size =\"33592320\"]\n  7 -> 20 [size =\"33592320\"]\n  7 -> 20 [size =\"33592320\"]\n  7 -> 21 [size =\"33592320\"]\n  7 -> 30 [size =\"33592320\"]\n  7 -> 32 [size =\"33592320\"]\n  8 [size=\"89627307\", alpha=\"0.15\", expect_size=\"26888192\"] \n  8 -> 19 [size =\"26888192\"]\n  8 -> 22 [size =\"26888192\"]\n  8 -> 24 [size =\"26888192\"]\n  9 [size=\"73598293\", alpha=\"0.02\", expect_size=\"22079488\"] \n  9 -> 18 [size =\"22079488\"]\n  9 -> 24 [size =\"22079488\"]\n  9 -> 27 [size =\"22079488\"]\n  9 -> 32 [size =\"22079488\"]\n  9 -> 33 [size =\"22079488\"]\n  10 [size=\"31491413\", alpha=\"0.04\", expect_size=\"9447424\"] \n  10 -> 19 [size =\"9447424\"]\n  10 -> 20 [size =\"9447424\"]\n  10 -> 21 [size =\"9447424\"]\n  10 -> 24 [size =\"9447424\"]\n  10 -> 27 [size =\"9447424\"]\n  10 -> 31 [size =\"9447424\"]\n  11 [size=\"62238720\", alpha=\"0.20\", expect_size=\"18671616\"] \n  11 -> 26 [size =\"18671616\"]\n  11 -> 31 [size =\"18671616\"]\n  12 [size=\"48390827\", alpha=\"0.12\", expect_size=\"14517248\"] \n  12 -> 18 [size =\"14517248\"]\n  12 -> 20 [size =\"14517248\"]\n  12 -> 22 [size =\"14517248\"]\n  12 -> 24 [size =\"14517248\"]\n  12 -> 31 [size =\"14517248\"]\n  12 -> 32 [size =\"14517248\"]\n  13 [size=\"111650133\", alpha=\"0.14\", expect_size=\"33495040\"] \n  13 -> 20 [size =\"33495040\"]\n  13 -> 22 [size =\"33495040\"]\n  13 -> 25 [size =\"33495040\"]\n  13 -> 28 [size =\"33495040\"]\n  13 -> 30 [size =\"33495040\"]\n  14 [size=\"163580587\", alpha=\"0.11\", expect_size=\"49074176\"] \n  14 -> 19 [size =\"49074176\"]\n  14 -> 20 [size =\"49074176\"]\n  14 -> 21 [size =\"49074176\"]\n  14 -> 22 [size =\"49074176\"]\n  14 -> 30 [size =\"49074176\"]\n  14 -> 33 [size =\"49074176\"]\n  15 [size=\"106461867\", alpha=\"0.11\", expect_size=\"31938560\"] \n  15 -> 19 [size =\"31938560\"]\n  15 -> 22 [size =\"31938560\"]\n  15 -> 30 [size =\"31938560\"]\n  15 -> 32 [size =\"31938560\"]\n  15 -> 33 [size =\"31938560\"]\n  16 [size=\"105400320\", alpha=\"0.01\", expect_size=\"31620096\"] \n  16 -> 19 [size =\"31620096\"]\n  16 -> 22 [size =\"31620096\"]\n  16 -> 24 [size =\"31620096\"]\n  16 -> 27 [size =\"31620096\"]\n  16 -> 32 [size =\"31620096\"]\n  17 [size=\"127897600\", alpha=\"0.02\", expect_size=\"38369280\"] \n  17 -> 19 [size =\"38369280\"]\n  17 -> 22 [size =\"38369280\"]\n  17 -> 32 [size =\"38369280\"]\n  18 [size=\"127023787\", alpha=\"0.20\", expect_size=\"38107136\"] \n  18 -> 35 [size =\"38107136\"]\n  18 -> 38 [size =\"38107136\"]\n  18 -> 40 [size =\"38107136\"]\n  19 [size=\"84715520\", alpha=\"0.17\", expect_size=\"25414656\"] \n  19 -> 35 [size =\"25414656\"]\n  19 -> 36 [size =\"25414656\"]\n  19 -> 39 [size =\"25414656\"]\n  19 -> 43 [size =\"25414656\"]\n  20 [size=\"99331413\", alpha=\"0.07\", expect_size=\"29799424\"] \n  20 -> 34 [size =\"29799424\"]\n  20 -> 35 [size =\"29799424\"]\n  20 -> 39 [size =\"29799424\"]\n  20 -> 42 [size =\"29799424\"]\n  21 [size=\"134406827\", alpha=\"0.12\", expect_size=\"40322048\"] \n  21 -> 34 [size =\"40322048\"]\n  21 -> 35 [size =\"40322048\"]\n  21 -> 42 [size =\"40322048\"]\n  22 [size=\"131553280\", alpha=\"0.07\", expect_size=\"39465984\"] \n  22 -> 34 [size =\"39465984\"]\n  22 -> 35 [size =\"39465984\"]\n  22 -> 42 [size =\"39465984\"]\n  22 -> 43 [size =\"39465984\"]\n  23 [size=\"66959360\", alpha=\"0.08\", expect_size=\"20087808\"] \n  23 -> 34 [size =\"20087808\"]\n  23 -> 36 [size =\"20087808\"]\n  23 -> 40 [size =\"20087808\"]\n  23 -> 43 [size =\"20087808\"]\n  24 [size=\"20480000\", alpha=\"0.18\", expect_size=\"6144000\"] \n  24 -> 34 [size =\"6144000\"]\n  24 -> 42 [size =\"6144000\"]\n  25 [size=\"108608853\", alpha=\"0.02\", expect_size=\"32582656\"] \n  26 [size=\"40253440\", alpha=\"0.06\", expect_size=\"12076032\"] \n  26 -> 34 [size =\"12076032\"]\n  26 -> 38 [size =\"12076032\"]\n  26 -> 42 [size =\"12076032\"]\n  26 -> 43 [size =\"12076032\"]\n  27 [size=\"48390827\", alpha=\"0.02\", expect_size=\"14517248\"] \n  27 -> 38 [size =\"14517248\"]\n  27 -> 38 [size =\"14517248\"]\n  27 -> 40 [size =\"14517248\"]\n  27 -> 41 [size =\"14517248\"]\n  27 -> 42 [size =\"14517248\"]\n  28 [size=\"67003733\", alpha=\"0.07\", expect_size=\"20101120\"] \n  28 -> 35 [size =\"20101120\"]\n  28 -> 38 [size =\"20101120\"]\n  28 -> 42 [size =\"20101120\"]\n  29 [size=\"63102293\", alpha=\"0.19\", expect_size=\"18930688\"] \n  29 -> 34 [size =\"18930688\"]\n  29 -> 35 [size =\"18930688\"]\n  29 -> 38 [size =\"18930688\"]\n  29 -> 40 [size =\"18930688\"]\n  30 [size=\"35990187\", alpha=\"0.13\", expect_size=\"10797056\"] \n  30 -> 35 [size =\"10797056\"]\n  30 -> 38 [size =\"10797056\"]\n  30 -> 40 [size =\"10797056\"]\n  30 -> 44 [size =\"10797056\"]\n  31 [size=\"94044160\", alpha=\"0.13\", expect_size=\"28213248\"] \n  31 -> 34 [size =\"28213248\"]\n  31 -> 40 [size =\"28213248\"]\n  31 -> 40 [size =\"28213248\"]\n  32 [size=\"32819200\", alpha=\"0.17\", expect_size=\"9845760\"] \n  32 -> 34 [size =\"9845760\"]\n  32 -> 36 [size =\"9845760\"]\n  32 -> 40 [size =\"9845760\"]\n  32 -> 44 [size =\"9845760\"]\n  33 [size=\"85562027\", alpha=\"0.13\", expect_size=\"25668608\"] \n  33 -> 35 [size =\"25668608\"]\n  33 -> 37 [size =\"25668608\"]\n  33 -> 40 [size =\"25668608\"]\n  33 -> 42 [size =\"25668608\"]\n  34 [size=\"148947627\", alpha=\"0.07\", expect_size=\"44684288\"] \n  34 -> 45 [size =\"44684288\"]\n  34 -> 49 [size =\"44684288\"]\n  34 -> 50 [size =\"44684288\"]\n  35 [size=\"132795733\", alpha=\"0.13\", expect_size=\"39838720\"] \n  35 -> 45 [size =\"39838720\"]\n  35 -> 50 [size =\"39838720\"]\n  36 [size=\"146937173\", alpha=\"0.09\", expect_size=\"44081152\"] \n  36 -> 45 [size =\"44081152\"]\n  36 -> 49 [size =\"44081152\"]\n  37 [size=\"35242667\", alpha=\"0.00\", expect_size=\"10572800\"] \n  37 -> 45 [size =\"10572800\"]\n  37 -> 47 [size =\"10572800\"]\n  37 -> 48 [size =\"10572800\"]\n  37 -> 49 [size =\"10572800\"]\n  38 [size=\"49503573\", alpha=\"0.05\", expect_size=\"14851072\"] \n  38 -> 45 [size =\"14851072\"]\n  38 -> 47 [size =\"14851072\"]\n  38 -> 49 [size =\"14851072\"]\n  38 -> 50 [size =\"14851072\"]\n  39 [size=\"104577707\", alpha=\"0.18\", expect_size=\"31373312\"] \n  39 -> 46 [size =\"31373312\"]\n  39 -> 50 [size =\"31373312\"]\n  40 [size=\"99307520\", alpha=\"0.02\", expect_size=\"29792256\"] \n  40 -> 46 [size =\"29792256\"]\n  41 [size=\"47704747\", alpha=\"0.01\", expect_size=\"14311424\"] \n  41 -> 46 [size =\"14311424\"]\n  41 -> 48 [size =\"14311424\"]\n  41 -> 49 [size =\"14311424\"]\n  41 -> 50 [size =\"14311424\"]\n  42 [size=\"151825067\", alpha=\"0.14\", expect_size=\"45547520\"] \n  42 -> 47 [size =\"45547520\"]\n  42 -> 50 [size =\"45547520\"]\n  43 [size=\"128003413\", alpha=\"0.13\", expect_size=\"38401024\"] \n  43 -> 45 [size =\"38401024\"]\n  43 -> 47 [size =\"38401024\"]\n  44 [size=\"70420480\", alpha=\"0.13\", expect_size=\"21126144\"] \n  44 -> 45 [size =\"21126144\"]\n  44 -> 47 [size =\"21126144\"]\n  44 -> 48 [size =\"21126144\"]\n  44 -> 50 [size =\"21126144\"]\n  45 [size=\"125180587\", alpha=\"0.04\", expect_size=\"37554176\"] \n  46 [size=\"66693120\", alpha=\"0.18\", expect_size=\"20007936\"] \n  47 [size=\"140175360\", alpha=\"0.16\", expect_size=\"42052608\"] \n  48 [size=\"141479253\", alpha=\"0.01\", expect_size=\"42443776\"] \n  49 [size=\"22862507\", alpha=\"0.11\", expect_size=\"6858752\"] \n  50 [size=\"166147413\", alpha=\"0.04\", expect_size=\"49844224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.275.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29999787\", alpha=\"0.13\", expect_size=\"8999936\"] \n  1 -> 22 [size =\"8999936\"]\n  1 -> 24 [size =\"8999936\"]\n  2 [size=\"109748907\", alpha=\"0.12\", expect_size=\"32924672\"] \n  2 -> 22 [size =\"32924672\"]\n  2 -> 27 [size =\"32924672\"]\n  3 [size=\"76977493\", alpha=\"0.13\", expect_size=\"23093248\"] \n  3 -> 22 [size =\"23093248\"]\n  3 -> 23 [size =\"23093248\"]\n  3 -> 27 [size =\"23093248\"]\n  3 -> 28 [size =\"23093248\"]\n  4 [size=\"103905280\", alpha=\"0.11\", expect_size=\"31171584\"] \n  4 -> 23 [size =\"31171584\"]\n  4 -> 27 [size =\"31171584\"]\n  4 -> 28 [size =\"31171584\"]\n  4 -> 28 [size =\"31171584\"]\n  5 [size=\"30743893\", alpha=\"0.18\", expect_size=\"9223168\"] \n  5 -> 22 [size =\"9223168\"]\n  5 -> 23 [size =\"9223168\"]\n  5 -> 24 [size =\"9223168\"]\n  5 -> 26 [size =\"9223168\"]\n  6 [size=\"152449707\", alpha=\"0.15\", expect_size=\"45734912\"] \n  6 -> 22 [size =\"45734912\"]\n  6 -> 24 [size =\"45734912\"]\n  6 -> 26 [size =\"45734912\"]\n  7 [size=\"102154240\", alpha=\"0.10\", expect_size=\"30646272\"] \n  7 -> 22 [size =\"30646272\"]\n  7 -> 23 [size =\"30646272\"]\n  7 -> 27 [size =\"30646272\"]\n  8 [size=\"167669760\", alpha=\"0.03\", expect_size=\"50300928\"] \n  8 -> 22 [size =\"50300928\"]\n  8 -> 23 [size =\"50300928\"]\n  8 -> 27 [size =\"50300928\"]\n  9 [size=\"31003307\", alpha=\"0.17\", expect_size=\"9300992\"] \n  9 -> 23 [size =\"9300992\"]\n  9 -> 24 [size =\"9300992\"]\n  9 -> 27 [size =\"9300992\"]\n  10 [size=\"24176640\", alpha=\"0.12\", expect_size=\"7252992\"] \n  10 -> 24 [size =\"7252992\"]\n  10 -> 26 [size =\"7252992\"]\n  10 -> 27 [size =\"7252992\"]\n  11 [size=\"78363307\", alpha=\"0.06\", expect_size=\"23508992\"] \n  11 -> 22 [size =\"23508992\"]\n  11 -> 25 [size =\"23508992\"]\n  12 [size=\"22405120\", alpha=\"0.11\", expect_size=\"6721536\"] \n  12 -> 27 [size =\"6721536\"]\n  13 [size=\"114179413\", alpha=\"0.20\", expect_size=\"34253824\"] \n  13 -> 22 [size =\"34253824\"]\n  13 -> 23 [size =\"34253824\"]\n  13 -> 25 [size =\"34253824\"]\n  13 -> 27 [size =\"34253824\"]\n  14 [size=\"58624000\", alpha=\"0.07\", expect_size=\"17587200\"] \n  14 -> 22 [size =\"17587200\"]\n  14 -> 23 [size =\"17587200\"]\n  15 [size=\"148674560\", alpha=\"0.18\", expect_size=\"44602368\"] \n  15 -> 23 [size =\"44602368\"]\n  16 [size=\"132805973\", alpha=\"0.11\", expect_size=\"39841792\"] \n  16 -> 22 [size =\"39841792\"]\n  16 -> 24 [size =\"39841792\"]\n  17 [size=\"97327787\", alpha=\"0.08\", expect_size=\"29198336\"] \n  17 -> 22 [size =\"29198336\"]\n  17 -> 23 [size =\"29198336\"]\n  17 -> 24 [size =\"29198336\"]\n  18 [size=\"172957013\", alpha=\"0.14\", expect_size=\"51887104\"] \n  18 -> 24 [size =\"51887104\"]\n  18 -> 27 [size =\"51887104\"]\n  19 [size=\"39942827\", alpha=\"0.05\", expect_size=\"11982848\"] \n  19 -> 23 [size =\"11982848\"]\n  20 [size=\"18469547\", alpha=\"0.16\", expect_size=\"5540864\"] \n  20 -> 24 [size =\"5540864\"]\n  20 -> 26 [size =\"5540864\"]\n  20 -> 27 [size =\"5540864\"]\n  21 [size=\"113831253\", alpha=\"0.08\", expect_size=\"34149376\"] \n  21 -> 23 [size =\"34149376\"]\n  22 [size=\"163512320\", alpha=\"0.13\", expect_size=\"49053696\"] \n  22 -> 31 [size =\"49053696\"]\n  22 -> 36 [size =\"49053696\"]\n  22 -> 39 [size =\"49053696\"]\n  22 -> 45 [size =\"49053696\"]\n  22 -> 46 [size =\"49053696\"]\n  23 [size=\"92013227\", alpha=\"0.05\", expect_size=\"27603968\"] \n  23 -> 31 [size =\"27603968\"]\n  23 -> 34 [size =\"27603968\"]\n  23 -> 36 [size =\"27603968\"]\n  23 -> 39 [size =\"27603968\"]\n  23 -> 40 [size =\"27603968\"]\n  23 -> 45 [size =\"27603968\"]\n  23 -> 46 [size =\"27603968\"]\n  24 [size=\"91688960\", alpha=\"0.07\", expect_size=\"27506688\"] \n  24 -> 30 [size =\"27506688\"]\n  24 -> 31 [size =\"27506688\"]\n  24 -> 35 [size =\"27506688\"]\n  24 -> 38 [size =\"27506688\"]\n  24 -> 40 [size =\"27506688\"]\n  24 -> 41 [size =\"27506688\"]\n  24 -> 42 [size =\"27506688\"]\n  25 [size=\"147302400\", alpha=\"0.12\", expect_size=\"44190720\"] \n  25 -> 29 [size =\"44190720\"]\n  25 -> 33 [size =\"44190720\"]\n  25 -> 34 [size =\"44190720\"]\n  25 -> 35 [size =\"44190720\"]\n  25 -> 37 [size =\"44190720\"]\n  25 -> 38 [size =\"44190720\"]\n  25 -> 39 [size =\"44190720\"]\n  25 -> 42 [size =\"44190720\"]\n  25 -> 45 [size =\"44190720\"]\n  25 -> 46 [size =\"44190720\"]\n  26 [size=\"132751360\", alpha=\"0.14\", expect_size=\"39825408\"] \n  26 -> 33 [size =\"39825408\"]\n  26 -> 34 [size =\"39825408\"]\n  26 -> 39 [size =\"39825408\"]\n  26 -> 42 [size =\"39825408\"]\n  26 -> 44 [size =\"39825408\"]\n  27 [size=\"64068267\", alpha=\"0.06\", expect_size=\"19220480\"] \n  27 -> 29 [size =\"19220480\"]\n  27 -> 33 [size =\"19220480\"]\n  27 -> 35 [size =\"19220480\"]\n  27 -> 38 [size =\"19220480\"]\n  27 -> 40 [size =\"19220480\"]\n  27 -> 42 [size =\"19220480\"]\n  27 -> 44 [size =\"19220480\"]\n  27 -> 45 [size =\"19220480\"]\n  28 [size=\"127368533\", alpha=\"0.18\", expect_size=\"38210560\"] \n  28 -> 31 [size =\"38210560\"]\n  28 -> 32 [size =\"38210560\"]\n  28 -> 34 [size =\"38210560\"]\n  28 -> 35 [size =\"38210560\"]\n  28 -> 36 [size =\"38210560\"]\n  28 -> 40 [size =\"38210560\"]\n  28 -> 43 [size =\"38210560\"]\n  29 [size=\"82643627\", alpha=\"0.11\", expect_size=\"24793088\"] \n  30 [size=\"120480427\", alpha=\"0.05\", expect_size=\"36144128\"] \n  30 -> 47 [size =\"36144128\"]\n  31 [size=\"87487147\", alpha=\"0.07\", expect_size=\"26246144\"] \n  31 -> 47 [size =\"26246144\"]\n  32 [size=\"153470293\", alpha=\"0.10\", expect_size=\"46041088\"] \n  32 -> 49 [size =\"46041088\"]\n  33 [size=\"96136533\", alpha=\"0.05\", expect_size=\"28840960\"] \n  33 -> 49 [size =\"28840960\"]\n  33 -> 50 [size =\"28840960\"]\n  34 [size=\"132270080\", alpha=\"0.05\", expect_size=\"39681024\"] \n  34 -> 47 [size =\"39681024\"]\n  34 -> 49 [size =\"39681024\"]\n  35 [size=\"33733973\", alpha=\"0.01\", expect_size=\"10120192\"] \n  35 -> 47 [size =\"10120192\"]\n  35 -> 48 [size =\"10120192\"]\n  35 -> 49 [size =\"10120192\"]\n  35 -> 50 [size =\"10120192\"]\n  36 [size=\"128368640\", alpha=\"0.13\", expect_size=\"38510592\"] \n  37 [size=\"79291733\", alpha=\"0.14\", expect_size=\"23787520\"] \n  37 -> 47 [size =\"23787520\"]\n  38 [size=\"128467627\", alpha=\"0.16\", expect_size=\"38540288\"] \n  38 -> 47 [size =\"38540288\"]\n  39 [size=\"111520427\", alpha=\"0.20\", expect_size=\"33456128\"] \n  39 -> 47 [size =\"33456128\"]\n  40 [size=\"41977173\", alpha=\"0.04\", expect_size=\"12593152\"] \n  41 [size=\"83824640\", alpha=\"0.01\", expect_size=\"25147392\"] \n  41 -> 47 [size =\"25147392\"]\n  42 [size=\"140666880\", alpha=\"0.16\", expect_size=\"42200064\"] \n  42 -> 49 [size =\"42200064\"]\n  43 [size=\"60149760\", alpha=\"0.01\", expect_size=\"18044928\"] \n  43 -> 47 [size =\"18044928\"]\n  43 -> 49 [size =\"18044928\"]\n  44 [size=\"96259413\", alpha=\"0.15\", expect_size=\"28877824\"] \n  45 [size=\"132860587\", alpha=\"0.05\", expect_size=\"39858176\"] \n  45 -> 47 [size =\"39858176\"]\n  46 [size=\"143868587\", alpha=\"0.10\", expect_size=\"43160576\"] \n  46 -> 49 [size =\"43160576\"]\n  47 [size=\"87326720\", alpha=\"0.02\", expect_size=\"26198016\"] \n  48 [size=\"43086507\", alpha=\"0.07\", expect_size=\"12925952\"] \n  49 [size=\"166632107\", alpha=\"0.00\", expect_size=\"49989632\"] \n  50 [size=\"165864107\", alpha=\"0.07\", expect_size=\"49759232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.276.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65093120\", alpha=\"0.17\", expect_size=\"26037248\"] \n  1 -> 18 [size =\"26037248\"]\n  1 -> 22 [size =\"26037248\"]\n  1 -> 25 [size =\"26037248\"]\n  1 -> 26 [size =\"26037248\"]\n  1 -> 27 [size =\"26037248\"]\n  1 -> 28 [size =\"26037248\"]\n  2 [size=\"32967680\", alpha=\"0.05\", expect_size=\"13187072\"] \n  2 -> 19 [size =\"13187072\"]\n  2 -> 23 [size =\"13187072\"]\n  3 [size=\"58790400\", alpha=\"0.09\", expect_size=\"23516160\"] \n  3 -> 17 [size =\"23516160\"]\n  3 -> 19 [size =\"23516160\"]\n  3 -> 20 [size =\"23516160\"]\n  3 -> 23 [size =\"23516160\"]\n  4 [size=\"29762560\", alpha=\"0.10\", expect_size=\"11905024\"] \n  4 -> 19 [size =\"11905024\"]\n  4 -> 25 [size =\"11905024\"]\n  4 -> 26 [size =\"11905024\"]\n  4 -> 27 [size =\"11905024\"]\n  5 [size=\"123225600\", alpha=\"0.15\", expect_size=\"49290240\"] \n  5 -> 19 [size =\"49290240\"]\n  5 -> 21 [size =\"49290240\"]\n  5 -> 23 [size =\"49290240\"]\n  5 -> 27 [size =\"49290240\"]\n  6 [size=\"91566080\", alpha=\"0.17\", expect_size=\"36626432\"] \n  6 -> 25 [size =\"36626432\"]\n  6 -> 27 [size =\"36626432\"]\n  7 [size=\"122129920\", alpha=\"0.18\", expect_size=\"48851968\"] \n  7 -> 17 [size =\"48851968\"]\n  7 -> 20 [size =\"48851968\"]\n  7 -> 23 [size =\"48851968\"]\n  7 -> 24 [size =\"48851968\"]\n  7 -> 29 [size =\"48851968\"]\n  8 [size=\"118105600\", alpha=\"0.10\", expect_size=\"47242240\"] \n  8 -> 17 [size =\"47242240\"]\n  8 -> 23 [size =\"47242240\"]\n  8 -> 27 [size =\"47242240\"]\n  9 [size=\"100789760\", alpha=\"0.01\", expect_size=\"40315904\"] \n  9 -> 26 [size =\"40315904\"]\n  9 -> 28 [size =\"40315904\"]\n  10 [size=\"61655040\", alpha=\"0.08\", expect_size=\"24662016\"] \n  10 -> 17 [size =\"24662016\"]\n  10 -> 21 [size =\"24662016\"]\n  10 -> 23 [size =\"24662016\"]\n  10 -> 25 [size =\"24662016\"]\n  10 -> 27 [size =\"24662016\"]\n  11 [size=\"118120960\", alpha=\"0.01\", expect_size=\"47248384\"] \n  11 -> 21 [size =\"47248384\"]\n  11 -> 25 [size =\"47248384\"]\n  11 -> 27 [size =\"47248384\"]\n  12 [size=\"101504000\", alpha=\"0.18\", expect_size=\"40601600\"] \n  12 -> 21 [size =\"40601600\"]\n  12 -> 25 [size =\"40601600\"]\n  12 -> 28 [size =\"40601600\"]\n  13 [size=\"130339840\", alpha=\"0.13\", expect_size=\"52135936\"] \n  13 -> 17 [size =\"52135936\"]\n  13 -> 19 [size =\"52135936\"]\n  13 -> 24 [size =\"52135936\"]\n  13 -> 27 [size =\"52135936\"]\n  13 -> 28 [size =\"52135936\"]\n  13 -> 29 [size =\"52135936\"]\n  14 [size=\"64217600\", alpha=\"0.20\", expect_size=\"25687040\"] \n  14 -> 17 [size =\"25687040\"]\n  14 -> 19 [size =\"25687040\"]\n  14 -> 23 [size =\"25687040\"]\n  14 -> 25 [size =\"25687040\"]\n  14 -> 29 [size =\"25687040\"]\n  14 -> 29 [size =\"25687040\"]\n  15 [size=\"120852480\", alpha=\"0.01\", expect_size=\"48340992\"] \n  15 -> 19 [size =\"48340992\"]\n  15 -> 21 [size =\"48340992\"]\n  15 -> 24 [size =\"48340992\"]\n  15 -> 25 [size =\"48340992\"]\n  15 -> 29 [size =\"48340992\"]\n  16 [size=\"93931520\", alpha=\"0.07\", expect_size=\"37572608\"] \n  16 -> 19 [size =\"37572608\"]\n  16 -> 22 [size =\"37572608\"]\n  16 -> 25 [size =\"37572608\"]\n  16 -> 29 [size =\"37572608\"]\n  17 [size=\"78205440\", alpha=\"0.08\", expect_size=\"31282176\"] \n  17 -> 30 [size =\"31282176\"]\n  17 -> 31 [size =\"31282176\"]\n  17 -> 32 [size =\"31282176\"]\n  17 -> 34 [size =\"31282176\"]\n  17 -> 36 [size =\"31282176\"]\n  17 -> 37 [size =\"31282176\"]\n  17 -> 38 [size =\"31282176\"]\n  17 -> 40 [size =\"31282176\"]\n  17 -> 42 [size =\"31282176\"]\n  18 [size=\"68864000\", alpha=\"0.02\", expect_size=\"27545600\"] \n  18 -> 31 [size =\"27545600\"]\n  18 -> 36 [size =\"27545600\"]\n  18 -> 37 [size =\"27545600\"]\n  18 -> 38 [size =\"27545600\"]\n  18 -> 40 [size =\"27545600\"]\n  18 -> 41 [size =\"27545600\"]\n  19 [size=\"130501120\", alpha=\"0.15\", expect_size=\"52200448\"] \n  19 -> 30 [size =\"52200448\"]\n  19 -> 31 [size =\"52200448\"]\n  19 -> 32 [size =\"52200448\"]\n  19 -> 34 [size =\"52200448\"]\n  19 -> 38 [size =\"52200448\"]\n  19 -> 41 [size =\"52200448\"]\n  20 [size=\"20597760\", alpha=\"0.14\", expect_size=\"8239104\"] \n  20 -> 30 [size =\"8239104\"]\n  20 -> 34 [size =\"8239104\"]\n  20 -> 35 [size =\"8239104\"]\n  20 -> 36 [size =\"8239104\"]\n  20 -> 37 [size =\"8239104\"]\n  20 -> 38 [size =\"8239104\"]\n  20 -> 41 [size =\"8239104\"]\n  21 [size=\"69102080\", alpha=\"0.02\", expect_size=\"27640832\"] \n  21 -> 31 [size =\"27640832\"]\n  21 -> 33 [size =\"27640832\"]\n  21 -> 39 [size =\"27640832\"]\n  21 -> 40 [size =\"27640832\"]\n  21 -> 41 [size =\"27640832\"]\n  22 [size=\"75709440\", alpha=\"0.14\", expect_size=\"30283776\"] \n  22 -> 32 [size =\"30283776\"]\n  22 -> 36 [size =\"30283776\"]\n  22 -> 37 [size =\"30283776\"]\n  22 -> 41 [size =\"30283776\"]\n  23 [size=\"62599680\", alpha=\"0.13\", expect_size=\"25039872\"] \n  23 -> 30 [size =\"25039872\"]\n  23 -> 32 [size =\"25039872\"]\n  23 -> 37 [size =\"25039872\"]\n  23 -> 40 [size =\"25039872\"]\n  24 [size=\"22013440\", alpha=\"0.15\", expect_size=\"8805376\"] \n  24 -> 32 [size =\"8805376\"]\n  24 -> 36 [size =\"8805376\"]\n  24 -> 37 [size =\"8805376\"]\n  24 -> 40 [size =\"8805376\"]\n  25 [size=\"20085760\", alpha=\"0.16\", expect_size=\"8034304\"] \n  25 -> 30 [size =\"8034304\"]\n  25 -> 34 [size =\"8034304\"]\n  25 -> 36 [size =\"8034304\"]\n  25 -> 38 [size =\"8034304\"]\n  25 -> 39 [size =\"8034304\"]\n  25 -> 40 [size =\"8034304\"]\n  26 [size=\"26301440\", alpha=\"0.10\", expect_size=\"10520576\"] \n  26 -> 36 [size =\"10520576\"]\n  26 -> 38 [size =\"10520576\"]\n  26 -> 40 [size =\"10520576\"]\n  27 [size=\"66060800\", alpha=\"0.03\", expect_size=\"26424320\"] \n  27 -> 32 [size =\"26424320\"]\n  27 -> 34 [size =\"26424320\"]\n  27 -> 36 [size =\"26424320\"]\n  27 -> 38 [size =\"26424320\"]\n  28 [size=\"113111040\", alpha=\"0.13\", expect_size=\"45244416\"] \n  28 -> 34 [size =\"45244416\"]\n  28 -> 37 [size =\"45244416\"]\n  29 [size=\"125854720\", alpha=\"0.18\", expect_size=\"50341888\"] \n  29 -> 31 [size =\"50341888\"]\n  29 -> 33 [size =\"50341888\"]\n  29 -> 34 [size =\"50341888\"]\n  29 -> 37 [size =\"50341888\"]\n  29 -> 40 [size =\"50341888\"]\n  30 [size=\"94261760\", alpha=\"0.12\", expect_size=\"37704704\"] \n  30 -> 43 [size =\"37704704\"]\n  30 -> 44 [size =\"37704704\"]\n  30 -> 47 [size =\"37704704\"]\n  30 -> 48 [size =\"37704704\"]\n  31 [size=\"59038720\", alpha=\"0.03\", expect_size=\"23615488\"] \n  31 -> 50 [size =\"23615488\"]\n  32 [size=\"72174080\", alpha=\"0.09\", expect_size=\"28869632\"] \n  32 -> 44 [size =\"28869632\"]\n  32 -> 49 [size =\"28869632\"]\n  33 [size=\"35563520\", alpha=\"0.16\", expect_size=\"14225408\"] \n  33 -> 44 [size =\"14225408\"]\n  33 -> 46 [size =\"14225408\"]\n  34 [size=\"112860160\", alpha=\"0.10\", expect_size=\"45144064\"] \n  34 -> 43 [size =\"45144064\"]\n  35 [size=\"84784640\", alpha=\"0.04\", expect_size=\"33913856\"] \n  35 -> 43 [size =\"33913856\"]\n  35 -> 46 [size =\"33913856\"]\n  35 -> 48 [size =\"33913856\"]\n  35 -> 50 [size =\"33913856\"]\n  36 [size=\"61463040\", alpha=\"0.10\", expect_size=\"24585216\"] \n  36 -> 45 [size =\"24585216\"]\n  36 -> 47 [size =\"24585216\"]\n  36 -> 49 [size =\"24585216\"]\n  36 -> 50 [size =\"24585216\"]\n  37 [size=\"121351680\", alpha=\"0.08\", expect_size=\"48540672\"] \n  37 -> 43 [size =\"48540672\"]\n  37 -> 46 [size =\"48540672\"]\n  37 -> 47 [size =\"48540672\"]\n  38 [size=\"19578880\", alpha=\"0.15\", expect_size=\"7831552\"] \n  38 -> 43 [size =\"7831552\"]\n  38 -> 44 [size =\"7831552\"]\n  38 -> 46 [size =\"7831552\"]\n  38 -> 48 [size =\"7831552\"]\n  39 [size=\"97077760\", alpha=\"0.03\", expect_size=\"38831104\"] \n  39 -> 43 [size =\"38831104\"]\n  39 -> 46 [size =\"38831104\"]\n  39 -> 46 [size =\"38831104\"]\n  39 -> 48 [size =\"38831104\"]\n  39 -> 49 [size =\"38831104\"]\n  39 -> 50 [size =\"38831104\"]\n  40 [size=\"87633920\", alpha=\"0.11\", expect_size=\"35053568\"] \n  40 -> 43 [size =\"35053568\"]\n  40 -> 48 [size =\"35053568\"]\n  40 -> 49 [size =\"35053568\"]\n  40 -> 50 [size =\"35053568\"]\n  41 [size=\"39797760\", alpha=\"0.09\", expect_size=\"15919104\"] \n  41 -> 48 [size =\"15919104\"]\n  42 [size=\"58585600\", alpha=\"0.18\", expect_size=\"23434240\"] \n  42 -> 44 [size =\"23434240\"]\n  42 -> 47 [size =\"23434240\"]\n  42 -> 48 [size =\"23434240\"]\n  43 [size=\"114429440\", alpha=\"0.15\", expect_size=\"45771776\"] \n  44 [size=\"88632320\", alpha=\"0.13\", expect_size=\"35452928\"] \n  45 [size=\"32307200\", alpha=\"0.13\", expect_size=\"12922880\"] \n  46 [size=\"53201920\", alpha=\"0.15\", expect_size=\"21280768\"] \n  47 [size=\"114176000\", alpha=\"0.05\", expect_size=\"45670400\"] \n  48 [size=\"44398080\", alpha=\"0.13\", expect_size=\"17759232\"] \n  49 [size=\"17589760\", alpha=\"0.00\", expect_size=\"7035904\"] \n  50 [size=\"33185280\", alpha=\"0.01\", expect_size=\"13274112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.277.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98439168\", alpha=\"0.17\", expect_size=\"49219584\"] \n  1 -> 3 [size =\"49219584\"]\n  1 -> 4 [size =\"49219584\"]\n  1 -> 5 [size =\"49219584\"]\n  2 [size=\"39499776\", alpha=\"0.07\", expect_size=\"19749888\"] \n  2 -> 3 [size =\"19749888\"]\n  2 -> 4 [size =\"19749888\"]\n  2 -> 5 [size =\"19749888\"]\n  3 [size=\"70187008\", alpha=\"0.09\", expect_size=\"35093504\"] \n  3 -> 6 [size =\"35093504\"]\n  3 -> 7 [size =\"35093504\"]\n  4 [size=\"81870848\", alpha=\"0.16\", expect_size=\"40935424\"] \n  4 -> 6 [size =\"40935424\"]\n  5 [size=\"50913280\", alpha=\"0.09\", expect_size=\"25456640\"] \n  5 -> 6 [size =\"25456640\"]\n  5 -> 7 [size =\"25456640\"]\n  6 [size=\"80136192\", alpha=\"0.10\", expect_size=\"40068096\"] \n  6 -> 8 [size =\"40068096\"]\n  6 -> 9 [size =\"40068096\"]\n  6 -> 10 [size =\"40068096\"]\n  7 [size=\"104628224\", alpha=\"0.09\", expect_size=\"52314112\"] \n  7 -> 8 [size =\"52314112\"]\n  7 -> 10 [size =\"52314112\"]\n  8 [size=\"95901696\", alpha=\"0.14\", expect_size=\"47950848\"] \n  8 -> 11 [size =\"47950848\"]\n  8 -> 12 [size =\"47950848\"]\n  9 [size=\"71968768\", alpha=\"0.02\", expect_size=\"35984384\"] \n  9 -> 11 [size =\"35984384\"]\n  10 [size=\"100161536\", alpha=\"0.05\", expect_size=\"50080768\"] \n  10 -> 12 [size =\"50080768\"]\n  11 [size=\"99344384\", alpha=\"0.05\", expect_size=\"49672192\"] \n  11 -> 14 [size =\"49672192\"]\n  11 -> 15 [size =\"49672192\"]\n  12 [size=\"83582976\", alpha=\"0.12\", expect_size=\"41791488\"] \n  12 -> 13 [size =\"41791488\"]\n  12 -> 14 [size =\"41791488\"]\n  12 -> 15 [size =\"41791488\"]\n  13 [size=\"22489088\", alpha=\"0.01\", expect_size=\"11244544\"] \n  13 -> 16 [size =\"11244544\"]\n  14 [size=\"63371264\", alpha=\"0.07\", expect_size=\"31685632\"] \n  15 [size=\"46315520\", alpha=\"0.02\", expect_size=\"23157760\"] \n  15 -> 16 [size =\"23157760\"]\n  16 [size=\"87785472\", alpha=\"0.09\", expect_size=\"43892736\"] \n  16 -> 17 [size =\"43892736\"]\n  16 -> 18 [size =\"43892736\"]\n  17 [size=\"42694656\", alpha=\"0.15\", expect_size=\"21347328\"] \n  17 -> 19 [size =\"21347328\"]\n  17 -> 20 [size =\"21347328\"]\n  17 -> 22 [size =\"21347328\"]\n  18 [size=\"84021248\", alpha=\"0.02\", expect_size=\"42010624\"] \n  18 -> 19 [size =\"42010624\"]\n  18 -> 20 [size =\"42010624\"]\n  18 -> 21 [size =\"42010624\"]\n  18 -> 22 [size =\"42010624\"]\n  19 [size=\"54040576\", alpha=\"0.06\", expect_size=\"27020288\"] \n  19 -> 23 [size =\"27020288\"]\n  19 -> 24 [size =\"27020288\"]\n  19 -> 25 [size =\"27020288\"]\n  20 [size=\"62015488\", alpha=\"0.02\", expect_size=\"31007744\"] \n  20 -> 23 [size =\"31007744\"]\n  20 -> 24 [size =\"31007744\"]\n  20 -> 25 [size =\"31007744\"]\n  20 -> 26 [size =\"31007744\"]\n  21 [size=\"85248000\", alpha=\"0.17\", expect_size=\"42624000\"] \n  21 -> 23 [size =\"42624000\"]\n  21 -> 24 [size =\"42624000\"]\n  22 [size=\"12158976\", alpha=\"0.17\", expect_size=\"6079488\"] \n  22 -> 23 [size =\"6079488\"]\n  22 -> 26 [size =\"6079488\"]\n  23 [size=\"69779456\", alpha=\"0.11\", expect_size=\"34889728\"] \n  23 -> 29 [size =\"34889728\"]\n  24 [size=\"72620032\", alpha=\"0.19\", expect_size=\"36310016\"] \n  24 -> 27 [size =\"36310016\"]\n  24 -> 28 [size =\"36310016\"]\n  25 [size=\"104476672\", alpha=\"0.16\", expect_size=\"52238336\"] \n  25 -> 27 [size =\"52238336\"]\n  25 -> 28 [size =\"52238336\"]\n  25 -> 29 [size =\"52238336\"]\n  26 [size=\"19011584\", alpha=\"0.08\", expect_size=\"9505792\"] \n  26 -> 27 [size =\"9505792\"]\n  26 -> 28 [size =\"9505792\"]\n  26 -> 30 [size =\"9505792\"]\n  27 [size=\"60446720\", alpha=\"0.20\", expect_size=\"30223360\"] \n  27 -> 31 [size =\"30223360\"]\n  28 [size=\"34891776\", alpha=\"0.10\", expect_size=\"17445888\"] \n  28 -> 31 [size =\"17445888\"]\n  29 [size=\"45471744\", alpha=\"0.13\", expect_size=\"22735872\"] \n  29 -> 31 [size =\"22735872\"]\n  30 [size=\"74545152\", alpha=\"0.15\", expect_size=\"37272576\"] \n  30 -> 31 [size =\"37272576\"]\n  31 [size=\"84377600\", alpha=\"0.15\", expect_size=\"42188800\"] \n  31 -> 32 [size =\"42188800\"]\n  31 -> 33 [size =\"42188800\"]\n  32 [size=\"68548608\", alpha=\"0.12\", expect_size=\"34274304\"] \n  32 -> 34 [size =\"34274304\"]\n  32 -> 35 [size =\"34274304\"]\n  32 -> 36 [size =\"34274304\"]\n  33 [size=\"56072192\", alpha=\"0.10\", expect_size=\"28036096\"] \n  33 -> 34 [size =\"28036096\"]\n  33 -> 35 [size =\"28036096\"]\n  33 -> 36 [size =\"28036096\"]\n  34 [size=\"12279808\", alpha=\"0.00\", expect_size=\"6139904\"] \n  34 -> 37 [size =\"6139904\"]\n  34 -> 38 [size =\"6139904\"]\n  35 [size=\"102928384\", alpha=\"0.18\", expect_size=\"51464192\"] \n  35 -> 37 [size =\"51464192\"]\n  35 -> 38 [size =\"51464192\"]\n  35 -> 39 [size =\"51464192\"]\n  36 [size=\"85329920\", alpha=\"0.12\", expect_size=\"42664960\"] \n  36 -> 37 [size =\"42664960\"]\n  36 -> 38 [size =\"42664960\"]\n  37 [size=\"29136896\", alpha=\"0.13\", expect_size=\"14568448\"] \n  37 -> 40 [size =\"14568448\"]\n  37 -> 41 [size =\"14568448\"]\n  38 [size=\"28491776\", alpha=\"0.09\", expect_size=\"14245888\"] \n  38 -> 41 [size =\"14245888\"]\n  39 [size=\"74438656\", alpha=\"0.15\", expect_size=\"37219328\"] \n  39 -> 40 [size =\"37219328\"]\n  39 -> 41 [size =\"37219328\"]\n  40 [size=\"39718912\", alpha=\"0.11\", expect_size=\"19859456\"] \n  40 -> 42 [size =\"19859456\"]\n  41 [size=\"14008320\", alpha=\"0.03\", expect_size=\"7004160\"] \n  41 -> 42 [size =\"7004160\"]\n  41 -> 43 [size =\"7004160\"]\n  42 [size=\"86167552\", alpha=\"0.16\", expect_size=\"43083776\"] \n  42 -> 44 [size =\"43083776\"]\n  42 -> 45 [size =\"43083776\"]\n  42 -> 46 [size =\"43083776\"]\n  43 [size=\"46180352\", alpha=\"0.01\", expect_size=\"23090176\"] \n  43 -> 44 [size =\"23090176\"]\n  43 -> 45 [size =\"23090176\"]\n  43 -> 46 [size =\"23090176\"]\n  44 [size=\"94795776\", alpha=\"0.20\", expect_size=\"47397888\"] \n  44 -> 47 [size =\"47397888\"]\n  45 [size=\"96155648\", alpha=\"0.18\", expect_size=\"48077824\"] \n  45 -> 47 [size =\"48077824\"]\n  46 [size=\"86087680\", alpha=\"0.19\", expect_size=\"43043840\"] \n  46 -> 47 [size =\"43043840\"]\n  47 [size=\"47525888\", alpha=\"0.09\", expect_size=\"23762944\"] \n  47 -> 48 [size =\"23762944\"]\n  47 -> 49 [size =\"23762944\"]\n  47 -> 50 [size =\"23762944\"]\n  48 [size=\"12677120\", alpha=\"0.05\", expect_size=\"6338560\"] \n  49 [size=\"55078912\", alpha=\"0.09\", expect_size=\"27539456\"] \n  50 [size=\"29542400\", alpha=\"0.06\", expect_size=\"14771200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.278.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26245120\", alpha=\"0.04\", expect_size=\"7873536\"] \n  1 -> 41 [size =\"7873536\"]\n  1 -> 42 [size =\"7873536\"]\n  1 -> 43 [size =\"7873536\"]\n  1 -> 44 [size =\"7873536\"]\n  1 -> 50 [size =\"7873536\"]\n  2 [size=\"22326613\", alpha=\"0.17\", expect_size=\"6697984\"] \n  2 -> 42 [size =\"6697984\"]\n  2 -> 44 [size =\"6697984\"]\n  2 -> 45 [size =\"6697984\"]\n  2 -> 49 [size =\"6697984\"]\n  3 [size=\"105222827\", alpha=\"0.09\", expect_size=\"31566848\"] \n  3 -> 40 [size =\"31566848\"]\n  4 [size=\"83254613\", alpha=\"0.07\", expect_size=\"24976384\"] \n  4 -> 39 [size =\"24976384\"]\n  4 -> 47 [size =\"24976384\"]\n  5 [size=\"143025493\", alpha=\"0.03\", expect_size=\"42907648\"] \n  5 -> 40 [size =\"42907648\"]\n  6 [size=\"38051840\", alpha=\"0.16\", expect_size=\"11415552\"] \n  6 -> 39 [size =\"11415552\"]\n  6 -> 41 [size =\"11415552\"]\n  7 [size=\"108581547\", alpha=\"0.15\", expect_size=\"32574464\"] \n  7 -> 40 [size =\"32574464\"]\n  7 -> 45 [size =\"32574464\"]\n  8 [size=\"25746773\", alpha=\"0.16\", expect_size=\"7724032\"] \n  8 -> 40 [size =\"7724032\"]\n  8 -> 42 [size =\"7724032\"]\n  8 -> 45 [size =\"7724032\"]\n  9 [size=\"104854187\", alpha=\"0.12\", expect_size=\"31456256\"] \n  9 -> 41 [size =\"31456256\"]\n  9 -> 42 [size =\"31456256\"]\n  9 -> 44 [size =\"31456256\"]\n  9 -> 45 [size =\"31456256\"]\n  10 [size=\"78513493\", alpha=\"0.05\", expect_size=\"23554048\"] \n  10 -> 44 [size =\"23554048\"]\n  10 -> 45 [size =\"23554048\"]\n  10 -> 49 [size =\"23554048\"]\n  10 -> 50 [size =\"23554048\"]\n  11 [size=\"78332587\", alpha=\"0.20\", expect_size=\"23499776\"] \n  11 -> 42 [size =\"23499776\"]\n  11 -> 45 [size =\"23499776\"]\n  12 [size=\"106431147\", alpha=\"0.16\", expect_size=\"31929344\"] \n  12 -> 38 [size =\"31929344\"]\n  12 -> 40 [size =\"31929344\"]\n  12 -> 41 [size =\"31929344\"]\n  12 -> 45 [size =\"31929344\"]\n  12 -> 47 [size =\"31929344\"]\n  12 -> 49 [size =\"31929344\"]\n  13 [size=\"82950827\", alpha=\"0.18\", expect_size=\"24885248\"] \n  13 -> 40 [size =\"24885248\"]\n  13 -> 41 [size =\"24885248\"]\n  13 -> 45 [size =\"24885248\"]\n  13 -> 45 [size =\"24885248\"]\n  13 -> 47 [size =\"24885248\"]\n  14 [size=\"150261760\", alpha=\"0.19\", expect_size=\"45078528\"] \n  14 -> 37 [size =\"45078528\"]\n  14 -> 40 [size =\"45078528\"]\n  14 -> 44 [size =\"45078528\"]\n  14 -> 46 [size =\"45078528\"]\n  14 -> 47 [size =\"45078528\"]\n  14 -> 49 [size =\"45078528\"]\n  15 [size=\"48312320\", alpha=\"0.15\", expect_size=\"14493696\"] \n  15 -> 37 [size =\"14493696\"]\n  15 -> 44 [size =\"14493696\"]\n  15 -> 46 [size =\"14493696\"]\n  15 -> 47 [size =\"14493696\"]\n  15 -> 47 [size =\"14493696\"]\n  16 [size=\"74161493\", alpha=\"0.06\", expect_size=\"22248448\"] \n  16 -> 39 [size =\"22248448\"]\n  16 -> 47 [size =\"22248448\"]\n  17 [size=\"45547520\", alpha=\"0.18\", expect_size=\"13664256\"] \n  17 -> 39 [size =\"13664256\"]\n  17 -> 44 [size =\"13664256\"]\n  17 -> 45 [size =\"13664256\"]\n  17 -> 46 [size =\"13664256\"]\n  17 -> 47 [size =\"13664256\"]\n  18 [size=\"162334720\", alpha=\"0.15\", expect_size=\"48700416\"] \n  18 -> 38 [size =\"48700416\"]\n  18 -> 41 [size =\"48700416\"]\n  18 -> 45 [size =\"48700416\"]\n  18 -> 47 [size =\"48700416\"]\n  18 -> 47 [size =\"48700416\"]\n  18 -> 49 [size =\"48700416\"]\n  19 [size=\"133413547\", alpha=\"0.01\", expect_size=\"40024064\"] \n  19 -> 40 [size =\"40024064\"]\n  19 -> 41 [size =\"40024064\"]\n  19 -> 47 [size =\"40024064\"]\n  19 -> 50 [size =\"40024064\"]\n  20 [size=\"74332160\", alpha=\"0.12\", expect_size=\"22299648\"] \n  20 -> 38 [size =\"22299648\"]\n  20 -> 45 [size =\"22299648\"]\n  20 -> 46 [size =\"22299648\"]\n  20 -> 49 [size =\"22299648\"]\n  20 -> 50 [size =\"22299648\"]\n  21 [size=\"110295040\", alpha=\"0.04\", expect_size=\"33088512\"] \n  21 -> 40 [size =\"33088512\"]\n  21 -> 45 [size =\"33088512\"]\n  21 -> 48 [size =\"33088512\"]\n  22 [size=\"108840960\", alpha=\"0.17\", expect_size=\"32652288\"] \n  22 -> 41 [size =\"32652288\"]\n  22 -> 49 [size =\"32652288\"]\n  23 [size=\"77018453\", alpha=\"0.01\", expect_size=\"23105536\"] \n  23 -> 37 [size =\"23105536\"]\n  23 -> 40 [size =\"23105536\"]\n  23 -> 41 [size =\"23105536\"]\n  23 -> 44 [size =\"23105536\"]\n  24 [size=\"58965333\", alpha=\"0.13\", expect_size=\"17689600\"] \n  24 -> 37 [size =\"17689600\"]\n  24 -> 40 [size =\"17689600\"]\n  24 -> 41 [size =\"17689600\"]\n  24 -> 44 [size =\"17689600\"]\n  24 -> 45 [size =\"17689600\"]\n  24 -> 49 [size =\"17689600\"]\n  25 [size=\"48783360\", alpha=\"0.01\", expect_size=\"14635008\"] \n  25 -> 37 [size =\"14635008\"]\n  25 -> 39 [size =\"14635008\"]\n  25 -> 42 [size =\"14635008\"]\n  25 -> 45 [size =\"14635008\"]\n  26 [size=\"168366080\", alpha=\"0.12\", expect_size=\"50509824\"] \n  26 -> 37 [size =\"50509824\"]\n  26 -> 39 [size =\"50509824\"]\n  26 -> 40 [size =\"50509824\"]\n  26 -> 41 [size =\"50509824\"]\n  26 -> 42 [size =\"50509824\"]\n  26 -> 49 [size =\"50509824\"]\n  27 [size=\"60262400\", alpha=\"0.15\", expect_size=\"18078720\"] \n  28 [size=\"45414400\", alpha=\"0.18\", expect_size=\"13624320\"] \n  28 -> 38 [size =\"13624320\"]\n  28 -> 40 [size =\"13624320\"]\n  28 -> 42 [size =\"13624320\"]\n  28 -> 47 [size =\"13624320\"]\n  29 [size=\"164297387\", alpha=\"0.13\", expect_size=\"49289216\"] \n  29 -> 41 [size =\"49289216\"]\n  29 -> 42 [size =\"49289216\"]\n  29 -> 45 [size =\"49289216\"]\n  29 -> 46 [size =\"49289216\"]\n  29 -> 47 [size =\"49289216\"]\n  30 [size=\"18548053\", alpha=\"0.15\", expect_size=\"5564416\"] \n  30 -> 41 [size =\"5564416\"]\n  31 [size=\"116213760\", alpha=\"0.05\", expect_size=\"34864128\"] \n  31 -> 37 [size =\"34864128\"]\n  31 -> 41 [size =\"34864128\"]\n  32 [size=\"151490560\", alpha=\"0.06\", expect_size=\"45447168\"] \n  32 -> 37 [size =\"45447168\"]\n  32 -> 39 [size =\"45447168\"]\n  32 -> 41 [size =\"45447168\"]\n  32 -> 46 [size =\"45447168\"]\n  33 [size=\"129239040\", alpha=\"0.16\", expect_size=\"38771712\"] \n  33 -> 38 [size =\"38771712\"]\n  33 -> 41 [size =\"38771712\"]\n  33 -> 41 [size =\"38771712\"]\n  33 -> 42 [size =\"38771712\"]\n  34 [size=\"137198933\", alpha=\"0.02\", expect_size=\"41159680\"] \n  34 -> 39 [size =\"41159680\"]\n  34 -> 42 [size =\"41159680\"]\n  34 -> 46 [size =\"41159680\"]\n  34 -> 47 [size =\"41159680\"]\n  35 [size=\"83872427\", alpha=\"0.13\", expect_size=\"25161728\"] \n  35 -> 40 [size =\"25161728\"]\n  35 -> 42 [size =\"25161728\"]\n  35 -> 44 [size =\"25161728\"]\n  35 -> 46 [size =\"25161728\"]\n  35 -> 48 [size =\"25161728\"]\n  35 -> 50 [size =\"25161728\"]\n  36 [size=\"94801920\", alpha=\"0.11\", expect_size=\"28440576\"] \n  36 -> 38 [size =\"28440576\"]\n  36 -> 40 [size =\"28440576\"]\n  37 [size=\"33286827\", alpha=\"0.12\", expect_size=\"9986048\"] \n  38 [size=\"147712000\", alpha=\"0.12\", expect_size=\"44313600\"] \n  39 [size=\"131778560\", alpha=\"0.06\", expect_size=\"39533568\"] \n  40 [size=\"72864427\", alpha=\"0.08\", expect_size=\"21859328\"] \n  41 [size=\"32017067\", alpha=\"0.01\", expect_size=\"9605120\"] \n  42 [size=\"70089387\", alpha=\"0.06\", expect_size=\"21026816\"] \n  43 [size=\"118749867\", alpha=\"0.19\", expect_size=\"35624960\"] \n  44 [size=\"86186667\", alpha=\"0.17\", expect_size=\"25856000\"] \n  45 [size=\"105192107\", alpha=\"0.19\", expect_size=\"31557632\"] \n  46 [size=\"49309013\", alpha=\"0.20\", expect_size=\"14792704\"] \n  47 [size=\"132515840\", alpha=\"0.06\", expect_size=\"39754752\"] \n  48 [size=\"68314453\", alpha=\"0.16\", expect_size=\"20494336\"] \n  49 [size=\"158842880\", alpha=\"0.05\", expect_size=\"47652864\"] \n  50 [size=\"48189440\", alpha=\"0.14\", expect_size=\"14456832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.279.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118947840\", alpha=\"0.09\", expect_size=\"47579136\"] \n  1 -> 21 [size =\"47579136\"]\n  1 -> 24 [size =\"47579136\"]\n  1 -> 32 [size =\"47579136\"]\n  1 -> 35 [size =\"47579136\"]\n  2 [size=\"74798080\", alpha=\"0.03\", expect_size=\"29919232\"] \n  2 -> 20 [size =\"29919232\"]\n  2 -> 21 [size =\"29919232\"]\n  2 -> 22 [size =\"29919232\"]\n  2 -> 24 [size =\"29919232\"]\n  2 -> 28 [size =\"29919232\"]\n  2 -> 30 [size =\"29919232\"]\n  2 -> 31 [size =\"29919232\"]\n  2 -> 32 [size =\"29919232\"]\n  2 -> 33 [size =\"29919232\"]\n  2 -> 34 [size =\"29919232\"]\n  2 -> 35 [size =\"29919232\"]\n  3 [size=\"101575680\", alpha=\"0.05\", expect_size=\"40630272\"] \n  3 -> 20 [size =\"40630272\"]\n  3 -> 21 [size =\"40630272\"]\n  3 -> 25 [size =\"40630272\"]\n  3 -> 28 [size =\"40630272\"]\n  3 -> 29 [size =\"40630272\"]\n  3 -> 30 [size =\"40630272\"]\n  3 -> 33 [size =\"40630272\"]\n  3 -> 34 [size =\"40630272\"]\n  3 -> 35 [size =\"40630272\"]\n  4 [size=\"53757440\", alpha=\"0.15\", expect_size=\"21502976\"] \n  4 -> 20 [size =\"21502976\"]\n  4 -> 22 [size =\"21502976\"]\n  4 -> 24 [size =\"21502976\"]\n  4 -> 25 [size =\"21502976\"]\n  4 -> 29 [size =\"21502976\"]\n  4 -> 31 [size =\"21502976\"]\n  4 -> 34 [size =\"21502976\"]\n  4 -> 36 [size =\"21502976\"]\n  5 [size=\"99806720\", alpha=\"0.03\", expect_size=\"39922688\"] \n  5 -> 20 [size =\"39922688\"]\n  5 -> 22 [size =\"39922688\"]\n  5 -> 28 [size =\"39922688\"]\n  5 -> 29 [size =\"39922688\"]\n  5 -> 29 [size =\"39922688\"]\n  5 -> 31 [size =\"39922688\"]\n  5 -> 34 [size =\"39922688\"]\n  6 [size=\"63608320\", alpha=\"0.04\", expect_size=\"25443328\"] \n  6 -> 20 [size =\"25443328\"]\n  6 -> 24 [size =\"25443328\"]\n  6 -> 25 [size =\"25443328\"]\n  6 -> 28 [size =\"25443328\"]\n  6 -> 29 [size =\"25443328\"]\n  6 -> 34 [size =\"25443328\"]\n  6 -> 35 [size =\"25443328\"]\n  6 -> 36 [size =\"25443328\"]\n  6 -> 38 [size =\"25443328\"]\n  7 [size=\"94379520\", alpha=\"0.16\", expect_size=\"37751808\"] \n  7 -> 21 [size =\"37751808\"]\n  7 -> 22 [size =\"37751808\"]\n  7 -> 34 [size =\"37751808\"]\n  7 -> 36 [size =\"37751808\"]\n  8 [size=\"106895360\", alpha=\"0.19\", expect_size=\"42758144\"] \n  8 -> 20 [size =\"42758144\"]\n  8 -> 21 [size =\"42758144\"]\n  8 -> 23 [size =\"42758144\"]\n  8 -> 24 [size =\"42758144\"]\n  8 -> 28 [size =\"42758144\"]\n  8 -> 29 [size =\"42758144\"]\n  8 -> 30 [size =\"42758144\"]\n  8 -> 33 [size =\"42758144\"]\n  9 [size=\"94709760\", alpha=\"0.20\", expect_size=\"37883904\"] \n  9 -> 22 [size =\"37883904\"]\n  9 -> 25 [size =\"37883904\"]\n  9 -> 29 [size =\"37883904\"]\n  9 -> 30 [size =\"37883904\"]\n  9 -> 31 [size =\"37883904\"]\n  9 -> 33 [size =\"37883904\"]\n  9 -> 34 [size =\"37883904\"]\n  10 [size=\"102771200\", alpha=\"0.16\", expect_size=\"41108480\"] \n  10 -> 20 [size =\"41108480\"]\n  10 -> 25 [size =\"41108480\"]\n  10 -> 27 [size =\"41108480\"]\n  10 -> 28 [size =\"41108480\"]\n  10 -> 31 [size =\"41108480\"]\n  10 -> 35 [size =\"41108480\"]\n  11 [size=\"62382080\", alpha=\"0.07\", expect_size=\"24952832\"] \n  11 -> 22 [size =\"24952832\"]\n  11 -> 28 [size =\"24952832\"]\n  11 -> 32 [size =\"24952832\"]\n  11 -> 35 [size =\"24952832\"]\n  12 [size=\"117637120\", alpha=\"0.06\", expect_size=\"47054848\"] \n  12 -> 20 [size =\"47054848\"]\n  12 -> 22 [size =\"47054848\"]\n  12 -> 25 [size =\"47054848\"]\n  12 -> 27 [size =\"47054848\"]\n  12 -> 28 [size =\"47054848\"]\n  12 -> 29 [size =\"47054848\"]\n  12 -> 30 [size =\"47054848\"]\n  12 -> 32 [size =\"47054848\"]\n  12 -> 35 [size =\"47054848\"]\n  12 -> 36 [size =\"47054848\"]\n  13 [size=\"19010560\", alpha=\"0.15\", expect_size=\"7604224\"] \n  13 -> 20 [size =\"7604224\"]\n  13 -> 21 [size =\"7604224\"]\n  13 -> 24 [size =\"7604224\"]\n  13 -> 25 [size =\"7604224\"]\n  13 -> 28 [size =\"7604224\"]\n  13 -> 29 [size =\"7604224\"]\n  13 -> 34 [size =\"7604224\"]\n  13 -> 35 [size =\"7604224\"]\n  13 -> 36 [size =\"7604224\"]\n  14 [size=\"46855680\", alpha=\"0.04\", expect_size=\"18742272\"] \n  14 -> 20 [size =\"18742272\"]\n  14 -> 21 [size =\"18742272\"]\n  14 -> 29 [size =\"18742272\"]\n  14 -> 31 [size =\"18742272\"]\n  14 -> 34 [size =\"18742272\"]\n  14 -> 36 [size =\"18742272\"]\n  14 -> 38 [size =\"18742272\"]\n  15 [size=\"20221440\", alpha=\"0.04\", expect_size=\"8088576\"] \n  15 -> 20 [size =\"8088576\"]\n  15 -> 21 [size =\"8088576\"]\n  15 -> 25 [size =\"8088576\"]\n  15 -> 32 [size =\"8088576\"]\n  15 -> 37 [size =\"8088576\"]\n  16 [size=\"37980160\", alpha=\"0.06\", expect_size=\"15192064\"] \n  16 -> 20 [size =\"15192064\"]\n  16 -> 21 [size =\"15192064\"]\n  16 -> 22 [size =\"15192064\"]\n  16 -> 24 [size =\"15192064\"]\n  16 -> 25 [size =\"15192064\"]\n  16 -> 26 [size =\"15192064\"]\n  16 -> 32 [size =\"15192064\"]\n  16 -> 33 [size =\"15192064\"]\n  17 [size=\"63134720\", alpha=\"0.09\", expect_size=\"25253888\"] \n  17 -> 20 [size =\"25253888\"]\n  17 -> 22 [size =\"25253888\"]\n  17 -> 25 [size =\"25253888\"]\n  17 -> 31 [size =\"25253888\"]\n  17 -> 34 [size =\"25253888\"]\n  17 -> 36 [size =\"25253888\"]\n  17 -> 38 [size =\"25253888\"]\n  18 [size=\"37386240\", alpha=\"0.14\", expect_size=\"14954496\"] \n  18 -> 22 [size =\"14954496\"]\n  18 -> 25 [size =\"14954496\"]\n  18 -> 25 [size =\"14954496\"]\n  18 -> 26 [size =\"14954496\"]\n  18 -> 28 [size =\"14954496\"]\n  18 -> 34 [size =\"14954496\"]\n  18 -> 35 [size =\"14954496\"]\n  19 [size=\"32555520\", alpha=\"0.10\", expect_size=\"13022208\"] \n  19 -> 21 [size =\"13022208\"]\n  19 -> 22 [size =\"13022208\"]\n  19 -> 25 [size =\"13022208\"]\n  19 -> 29 [size =\"13022208\"]\n  19 -> 31 [size =\"13022208\"]\n  19 -> 35 [size =\"13022208\"]\n  19 -> 38 [size =\"13022208\"]\n  20 [size=\"32099840\", alpha=\"0.02\", expect_size=\"12839936\"] \n  20 -> 39 [size =\"12839936\"]\n  20 -> 40 [size =\"12839936\"]\n  20 -> 43 [size =\"12839936\"]\n  20 -> 45 [size =\"12839936\"]\n  20 -> 47 [size =\"12839936\"]\n  21 [size=\"128445440\", alpha=\"0.12\", expect_size=\"51378176\"] \n  21 -> 39 [size =\"51378176\"]\n  21 -> 45 [size =\"51378176\"]\n  22 [size=\"52715520\", alpha=\"0.12\", expect_size=\"21086208\"] \n  22 -> 39 [size =\"21086208\"]\n  22 -> 40 [size =\"21086208\"]\n  22 -> 44 [size =\"21086208\"]\n  22 -> 47 [size =\"21086208\"]\n  22 -> 49 [size =\"21086208\"]\n  22 -> 50 [size =\"21086208\"]\n  23 [size=\"87196160\", alpha=\"0.08\", expect_size=\"34878464\"] \n  23 -> 39 [size =\"34878464\"]\n  23 -> 40 [size =\"34878464\"]\n  23 -> 41 [size =\"34878464\"]\n  23 -> 45 [size =\"34878464\"]\n  23 -> 46 [size =\"34878464\"]\n  24 [size=\"55495680\", alpha=\"0.10\", expect_size=\"22198272\"] \n  24 -> 39 [size =\"22198272\"]\n  24 -> 42 [size =\"22198272\"]\n  24 -> 45 [size =\"22198272\"]\n  25 [size=\"76385280\", alpha=\"0.07\", expect_size=\"30554112\"] \n  25 -> 40 [size =\"30554112\"]\n  25 -> 42 [size =\"30554112\"]\n  25 -> 47 [size =\"30554112\"]\n  26 [size=\"99174400\", alpha=\"0.13\", expect_size=\"39669760\"] \n  26 -> 39 [size =\"39669760\"]\n  26 -> 41 [size =\"39669760\"]\n  26 -> 42 [size =\"39669760\"]\n  27 [size=\"19100160\", alpha=\"0.12\", expect_size=\"7640064\"] \n  27 -> 40 [size =\"7640064\"]\n  27 -> 42 [size =\"7640064\"]\n  27 -> 47 [size =\"7640064\"]\n  28 [size=\"72527360\", alpha=\"0.08\", expect_size=\"29010944\"] \n  28 -> 40 [size =\"29010944\"]\n  28 -> 43 [size =\"29010944\"]\n  28 -> 45 [size =\"29010944\"]\n  28 -> 50 [size =\"29010944\"]\n  29 [size=\"38090240\", alpha=\"0.17\", expect_size=\"15236096\"] \n  29 -> 39 [size =\"15236096\"]\n  29 -> 40 [size =\"15236096\"]\n  29 -> 41 [size =\"15236096\"]\n  29 -> 43 [size =\"15236096\"]\n  29 -> 45 [size =\"15236096\"]\n  29 -> 47 [size =\"15236096\"]\n  29 -> 48 [size =\"15236096\"]\n  29 -> 49 [size =\"15236096\"]\n  29 -> 50 [size =\"15236096\"]\n  30 [size=\"96389120\", alpha=\"0.01\", expect_size=\"38555648\"] \n  30 -> 39 [size =\"38555648\"]\n  30 -> 40 [size =\"38555648\"]\n  30 -> 43 [size =\"38555648\"]\n  30 -> 45 [size =\"38555648\"]\n  30 -> 45 [size =\"38555648\"]\n  30 -> 48 [size =\"38555648\"]\n  30 -> 50 [size =\"38555648\"]\n  31 [size=\"107829760\", alpha=\"0.14\", expect_size=\"43131904\"] \n  31 -> 40 [size =\"43131904\"]\n  31 -> 40 [size =\"43131904\"]\n  31 -> 41 [size =\"43131904\"]\n  31 -> 42 [size =\"43131904\"]\n  31 -> 43 [size =\"43131904\"]\n  31 -> 45 [size =\"43131904\"]\n  31 -> 48 [size =\"43131904\"]\n  31 -> 49 [size =\"43131904\"]\n  31 -> 50 [size =\"43131904\"]\n  32 [size=\"60282880\", alpha=\"0.04\", expect_size=\"24113152\"] \n  32 -> 39 [size =\"24113152\"]\n  32 -> 41 [size =\"24113152\"]\n  32 -> 42 [size =\"24113152\"]\n  32 -> 44 [size =\"24113152\"]\n  32 -> 45 [size =\"24113152\"]\n  32 -> 46 [size =\"24113152\"]\n  32 -> 47 [size =\"24113152\"]\n  32 -> 48 [size =\"24113152\"]\n  33 [size=\"15447040\", alpha=\"0.16\", expect_size=\"6178816\"] \n  33 -> 39 [size =\"6178816\"]\n  33 -> 40 [size =\"6178816\"]\n  33 -> 48 [size =\"6178816\"]\n  34 [size=\"61785600\", alpha=\"0.13\", expect_size=\"24714240\"] \n  34 -> 39 [size =\"24714240\"]\n  34 -> 42 [size =\"24714240\"]\n  34 -> 46 [size =\"24714240\"]\n  34 -> 47 [size =\"24714240\"]\n  34 -> 48 [size =\"24714240\"]\n  35 [size=\"121986560\", alpha=\"0.11\", expect_size=\"48794624\"] \n  35 -> 39 [size =\"48794624\"]\n  35 -> 42 [size =\"48794624\"]\n  35 -> 43 [size =\"48794624\"]\n  35 -> 45 [size =\"48794624\"]\n  35 -> 47 [size =\"48794624\"]\n  35 -> 50 [size =\"48794624\"]\n  36 [size=\"46824960\", alpha=\"0.14\", expect_size=\"18729984\"] \n  36 -> 39 [size =\"18729984\"]\n  36 -> 42 [size =\"18729984\"]\n  36 -> 47 [size =\"18729984\"]\n  37 [size=\"122728960\", alpha=\"0.05\", expect_size=\"49091584\"] \n  37 -> 39 [size =\"49091584\"]\n  37 -> 45 [size =\"49091584\"]\n  37 -> 47 [size =\"49091584\"]\n  38 [size=\"77079040\", alpha=\"0.20\", expect_size=\"30831616\"] \n  38 -> 40 [size =\"30831616\"]\n  39 [size=\"121628160\", alpha=\"0.18\", expect_size=\"48651264\"] \n  40 [size=\"102051840\", alpha=\"0.20\", expect_size=\"40820736\"] \n  41 [size=\"108011520\", alpha=\"0.01\", expect_size=\"43204608\"] \n  42 [size=\"70824960\", alpha=\"0.09\", expect_size=\"28329984\"] \n  43 [size=\"95016960\", alpha=\"0.10\", expect_size=\"38006784\"] \n  44 [size=\"68528640\", alpha=\"0.17\", expect_size=\"27411456\"] \n  45 [size=\"25111040\", alpha=\"0.16\", expect_size=\"10044416\"] \n  46 [size=\"89843200\", alpha=\"0.09\", expect_size=\"35937280\"] \n  47 [size=\"51671040\", alpha=\"0.03\", expect_size=\"20668416\"] \n  48 [size=\"78584320\", alpha=\"0.07\", expect_size=\"31433728\"] \n  49 [size=\"76904960\", alpha=\"0.15\", expect_size=\"30761984\"] \n  50 [size=\"66078720\", alpha=\"0.18\", expect_size=\"26431488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110708053\", alpha=\"0.20\", expect_size=\"33212416\"] \n  1 -> 4 [size =\"33212416\"]\n  2 [size=\"172793173\", alpha=\"0.14\", expect_size=\"51837952\"] \n  2 -> 3 [size =\"51837952\"]\n  2 -> 4 [size =\"51837952\"]\n  3 [size=\"66150400\", alpha=\"0.09\", expect_size=\"19845120\"] \n  3 -> 5 [size =\"19845120\"]\n  4 [size=\"125412693\", alpha=\"0.18\", expect_size=\"37623808\"] \n  4 -> 6 [size =\"37623808\"]\n  5 [size=\"173844480\", alpha=\"0.07\", expect_size=\"52153344\"] \n  5 -> 7 [size =\"52153344\"]\n  5 -> 8 [size =\"52153344\"]\n  6 [size=\"83746133\", alpha=\"0.14\", expect_size=\"25123840\"] \n  7 [size=\"108489387\", alpha=\"0.12\", expect_size=\"32546816\"] \n  7 -> 9 [size =\"32546816\"]\n  7 -> 10 [size =\"32546816\"]\n  8 [size=\"54067200\", alpha=\"0.08\", expect_size=\"16220160\"] \n  8 -> 9 [size =\"16220160\"]\n  9 [size=\"172421120\", alpha=\"0.01\", expect_size=\"51726336\"] \n  9 -> 11 [size =\"51726336\"]\n  9 -> 12 [size =\"51726336\"]\n  9 -> 13 [size =\"51726336\"]\n  10 [size=\"113005227\", alpha=\"0.14\", expect_size=\"33901568\"] \n  10 -> 11 [size =\"33901568\"]\n  10 -> 12 [size =\"33901568\"]\n  11 [size=\"70164480\", alpha=\"0.18\", expect_size=\"21049344\"] \n  11 -> 15 [size =\"21049344\"]\n  12 [size=\"68314453\", alpha=\"0.19\", expect_size=\"20494336\"] \n  12 -> 14 [size =\"20494336\"]\n  13 [size=\"20544853\", alpha=\"0.13\", expect_size=\"6163456\"] \n  14 [size=\"87886507\", alpha=\"0.12\", expect_size=\"26365952\"] \n  14 -> 16 [size =\"26365952\"]\n  15 [size=\"73615360\", alpha=\"0.12\", expect_size=\"22084608\"] \n  15 -> 17 [size =\"22084608\"]\n  16 [size=\"126682453\", alpha=\"0.07\", expect_size=\"38004736\"] \n  17 [size=\"77991253\", alpha=\"0.03\", expect_size=\"23397376\"] \n  17 -> 18 [size =\"23397376\"]\n  17 -> 19 [size =\"23397376\"]\n  18 [size=\"172861440\", alpha=\"0.16\", expect_size=\"51858432\"] \n  18 -> 21 [size =\"51858432\"]\n  18 -> 22 [size =\"51858432\"]\n  19 [size=\"77045760\", alpha=\"0.19\", expect_size=\"23113728\"] \n  19 -> 20 [size =\"23113728\"]\n  19 -> 21 [size =\"23113728\"]\n  19 -> 22 [size =\"23113728\"]\n  20 [size=\"85497173\", alpha=\"0.00\", expect_size=\"25649152\"] \n  20 -> 23 [size =\"25649152\"]\n  20 -> 24 [size =\"25649152\"]\n  21 [size=\"37321387\", alpha=\"0.14\", expect_size=\"11196416\"] \n  21 -> 24 [size =\"11196416\"]\n  21 -> 25 [size =\"11196416\"]\n  22 [size=\"21862400\", alpha=\"0.07\", expect_size=\"6558720\"] \n  22 -> 23 [size =\"6558720\"]\n  22 -> 25 [size =\"6558720\"]\n  23 [size=\"173124267\", alpha=\"0.06\", expect_size=\"51937280\"] \n  23 -> 28 [size =\"51937280\"]\n  24 [size=\"118917120\", alpha=\"0.20\", expect_size=\"35675136\"] \n  24 -> 26 [size =\"35675136\"]\n  24 -> 27 [size =\"35675136\"]\n  24 -> 28 [size =\"35675136\"]\n  25 [size=\"59463680\", alpha=\"0.13\", expect_size=\"17839104\"] \n  26 [size=\"155549013\", alpha=\"0.14\", expect_size=\"46664704\"] \n  26 -> 30 [size =\"46664704\"]\n  27 [size=\"51128320\", alpha=\"0.07\", expect_size=\"15338496\"] \n  27 -> 29 [size =\"15338496\"]\n  27 -> 31 [size =\"15338496\"]\n  28 [size=\"74755413\", alpha=\"0.05\", expect_size=\"22426624\"] \n  28 -> 29 [size =\"22426624\"]\n  28 -> 30 [size =\"22426624\"]\n  29 [size=\"40434347\", alpha=\"0.02\", expect_size=\"12130304\"] \n  29 -> 33 [size =\"12130304\"]\n  29 -> 34 [size =\"12130304\"]\n  30 [size=\"30146560\", alpha=\"0.12\", expect_size=\"9043968\"] \n  30 -> 34 [size =\"9043968\"]\n  31 [size=\"32542720\", alpha=\"0.08\", expect_size=\"9762816\"] \n  31 -> 32 [size =\"9762816\"]\n  32 [size=\"140851200\", alpha=\"0.10\", expect_size=\"42255360\"] \n  32 -> 37 [size =\"42255360\"]\n  33 [size=\"38536533\", alpha=\"0.14\", expect_size=\"11560960\"] \n  33 -> 35 [size =\"11560960\"]\n  34 [size=\"88852480\", alpha=\"0.06\", expect_size=\"26655744\"] \n  34 -> 36 [size =\"26655744\"]\n  34 -> 37 [size =\"26655744\"]\n  35 [size=\"85155840\", alpha=\"0.05\", expect_size=\"25546752\"] \n  35 -> 38 [size =\"25546752\"]\n  35 -> 39 [size =\"25546752\"]\n  36 [size=\"26535253\", alpha=\"0.18\", expect_size=\"7960576\"] \n  36 -> 40 [size =\"7960576\"]\n  37 [size=\"136550400\", alpha=\"0.19\", expect_size=\"40965120\"] \n  37 -> 38 [size =\"40965120\"]\n  38 [size=\"34351787\", alpha=\"0.19\", expect_size=\"10305536\"] \n  39 [size=\"71113387\", alpha=\"0.07\", expect_size=\"21334016\"] \n  39 -> 41 [size =\"21334016\"]\n  39 -> 42 [size =\"21334016\"]\n  40 [size=\"87203840\", alpha=\"0.04\", expect_size=\"26161152\"] \n  40 -> 43 [size =\"26161152\"]\n  41 [size=\"20865707\", alpha=\"0.03\", expect_size=\"6259712\"] \n  41 -> 46 [size =\"6259712\"]\n  42 [size=\"82080427\", alpha=\"0.03\", expect_size=\"24624128\"] \n  42 -> 44 [size =\"24624128\"]\n  42 -> 45 [size =\"24624128\"]\n  43 [size=\"164399787\", alpha=\"0.03\", expect_size=\"49319936\"] \n  43 -> 46 [size =\"49319936\"]\n  44 [size=\"113602560\", alpha=\"0.15\", expect_size=\"34080768\"] \n  44 -> 47 [size =\"34080768\"]\n  44 -> 48 [size =\"34080768\"]\n  45 [size=\"157395627\", alpha=\"0.13\", expect_size=\"47218688\"] \n  45 -> 49 [size =\"47218688\"]\n  46 [size=\"37338453\", alpha=\"0.08\", expect_size=\"11201536\"] \n  46 -> 47 [size =\"11201536\"]\n  46 -> 48 [size =\"11201536\"]\n  47 [size=\"19933867\", alpha=\"0.08\", expect_size=\"5980160\"] \n  47 -> 50 [size =\"5980160\"]\n  48 [size=\"165693440\", alpha=\"0.15\", expect_size=\"49708032\"] \n  49 [size=\"158146560\", alpha=\"0.05\", expect_size=\"47443968\"] \n  50 [size=\"56862720\", alpha=\"0.16\", expect_size=\"17058816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.280.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20518912\", alpha=\"0.04\", expect_size=\"10259456\"] \n  1 -> 2 [size =\"10259456\"]\n  2 [size=\"25233408\", alpha=\"0.09\", expect_size=\"12616704\"] \n  2 -> 3 [size =\"12616704\"]\n  3 [size=\"94029824\", alpha=\"0.11\", expect_size=\"47014912\"] \n  3 -> 4 [size =\"47014912\"]\n  4 [size=\"93042688\", alpha=\"0.12\", expect_size=\"46521344\"] \n  4 -> 5 [size =\"46521344\"]\n  5 [size=\"95553536\", alpha=\"0.17\", expect_size=\"47776768\"] \n  5 -> 6 [size =\"47776768\"]\n  6 [size=\"102017024\", alpha=\"0.01\", expect_size=\"51008512\"] \n  6 -> 7 [size =\"51008512\"]\n  7 [size=\"84920320\", alpha=\"0.01\", expect_size=\"42460160\"] \n  7 -> 8 [size =\"42460160\"]\n  8 [size=\"60813312\", alpha=\"0.02\", expect_size=\"30406656\"] \n  8 -> 9 [size =\"30406656\"]\n  9 [size=\"98510848\", alpha=\"0.18\", expect_size=\"49255424\"] \n  9 -> 10 [size =\"49255424\"]\n  10 [size=\"104445952\", alpha=\"0.08\", expect_size=\"52222976\"] \n  10 -> 11 [size =\"52222976\"]\n  11 [size=\"93925376\", alpha=\"0.15\", expect_size=\"46962688\"] \n  11 -> 12 [size =\"46962688\"]\n  12 [size=\"18356224\", alpha=\"0.13\", expect_size=\"9178112\"] \n  12 -> 13 [size =\"9178112\"]\n  13 [size=\"62652416\", alpha=\"0.19\", expect_size=\"31326208\"] \n  13 -> 14 [size =\"31326208\"]\n  14 [size=\"22173696\", alpha=\"0.08\", expect_size=\"11086848\"] \n  14 -> 15 [size =\"11086848\"]\n  15 [size=\"77451264\", alpha=\"0.03\", expect_size=\"38725632\"] \n  15 -> 16 [size =\"38725632\"]\n  16 [size=\"64944128\", alpha=\"0.02\", expect_size=\"32472064\"] \n  16 -> 17 [size =\"32472064\"]\n  17 [size=\"70995968\", alpha=\"0.05\", expect_size=\"35497984\"] \n  17 -> 18 [size =\"35497984\"]\n  18 [size=\"74917888\", alpha=\"0.13\", expect_size=\"37458944\"] \n  18 -> 19 [size =\"37458944\"]\n  19 [size=\"83005440\", alpha=\"0.05\", expect_size=\"41502720\"] \n  19 -> 20 [size =\"41502720\"]\n  20 [size=\"73134080\", alpha=\"0.01\", expect_size=\"36567040\"] \n  20 -> 21 [size =\"36567040\"]\n  21 [size=\"15925248\", alpha=\"0.19\", expect_size=\"7962624\"] \n  21 -> 22 [size =\"7962624\"]\n  22 [size=\"87793664\", alpha=\"0.19\", expect_size=\"43896832\"] \n  22 -> 23 [size =\"43896832\"]\n  23 [size=\"56340480\", alpha=\"0.18\", expect_size=\"28170240\"] \n  23 -> 24 [size =\"28170240\"]\n  24 [size=\"53170176\", alpha=\"0.14\", expect_size=\"26585088\"] \n  24 -> 25 [size =\"26585088\"]\n  25 [size=\"91742208\", alpha=\"0.08\", expect_size=\"45871104\"] \n  25 -> 26 [size =\"45871104\"]\n  26 [size=\"10958848\", alpha=\"0.01\", expect_size=\"5479424\"] \n  26 -> 27 [size =\"5479424\"]\n  27 [size=\"19042304\", alpha=\"0.11\", expect_size=\"9521152\"] \n  27 -> 28 [size =\"9521152\"]\n  28 [size=\"43868160\", alpha=\"0.11\", expect_size=\"21934080\"] \n  28 -> 29 [size =\"21934080\"]\n  29 [size=\"104273920\", alpha=\"0.09\", expect_size=\"52136960\"] \n  29 -> 30 [size =\"52136960\"]\n  30 [size=\"35694592\", alpha=\"0.07\", expect_size=\"17847296\"] \n  30 -> 31 [size =\"17847296\"]\n  31 [size=\"40474624\", alpha=\"0.04\", expect_size=\"20237312\"] \n  31 -> 32 [size =\"20237312\"]\n  32 [size=\"34279424\", alpha=\"0.01\", expect_size=\"17139712\"] \n  32 -> 33 [size =\"17139712\"]\n  33 [size=\"31854592\", alpha=\"0.10\", expect_size=\"15927296\"] \n  33 -> 34 [size =\"15927296\"]\n  34 [size=\"22374400\", alpha=\"0.02\", expect_size=\"11187200\"] \n  34 -> 35 [size =\"11187200\"]\n  35 [size=\"88397824\", alpha=\"0.07\", expect_size=\"44198912\"] \n  35 -> 36 [size =\"44198912\"]\n  36 [size=\"31875072\", alpha=\"0.04\", expect_size=\"15937536\"] \n  36 -> 37 [size =\"15937536\"]\n  37 [size=\"38713344\", alpha=\"0.14\", expect_size=\"19356672\"] \n  37 -> 38 [size =\"19356672\"]\n  38 [size=\"88977408\", alpha=\"0.18\", expect_size=\"44488704\"] \n  38 -> 39 [size =\"44488704\"]\n  39 [size=\"44251136\", alpha=\"0.16\", expect_size=\"22125568\"] \n  39 -> 40 [size =\"22125568\"]\n  40 [size=\"86933504\", alpha=\"0.09\", expect_size=\"43466752\"] \n  40 -> 41 [size =\"43466752\"]\n  41 [size=\"27869184\", alpha=\"0.02\", expect_size=\"13934592\"] \n  41 -> 42 [size =\"13934592\"]\n  42 [size=\"44871680\", alpha=\"0.12\", expect_size=\"22435840\"] \n  42 -> 43 [size =\"22435840\"]\n  43 [size=\"51441664\", alpha=\"0.11\", expect_size=\"25720832\"] \n  43 -> 44 [size =\"25720832\"]\n  44 [size=\"99747840\", alpha=\"0.20\", expect_size=\"49873920\"] \n  44 -> 45 [size =\"49873920\"]\n  45 [size=\"12734464\", alpha=\"0.05\", expect_size=\"6367232\"] \n  45 -> 46 [size =\"6367232\"]\n  46 [size=\"46112768\", alpha=\"0.11\", expect_size=\"23056384\"] \n  46 -> 47 [size =\"23056384\"]\n  47 [size=\"65595392\", alpha=\"0.19\", expect_size=\"32797696\"] \n  47 -> 48 [size =\"32797696\"]\n  48 [size=\"37326848\", alpha=\"0.13\", expect_size=\"18663424\"] \n  48 -> 49 [size =\"18663424\"]\n  49 [size=\"25737216\", alpha=\"0.08\", expect_size=\"12868608\"] \n  49 -> 50 [size =\"12868608\"]\n  50 [size=\"103348224\", alpha=\"0.08\", expect_size=\"51674112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.281.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45332480\", alpha=\"0.16\", expect_size=\"22666240\"] \n  1 -> 35 [size =\"22666240\"]\n  1 -> 36 [size =\"22666240\"]\n  1 -> 38 [size =\"22666240\"]\n  1 -> 45 [size =\"22666240\"]\n  1 -> 47 [size =\"22666240\"]\n  1 -> 50 [size =\"22666240\"]\n  2 [size=\"43784192\", alpha=\"0.12\", expect_size=\"21892096\"] \n  2 -> 35 [size =\"21892096\"]\n  2 -> 38 [size =\"21892096\"]\n  2 -> 46 [size =\"21892096\"]\n  2 -> 47 [size =\"21892096\"]\n  2 -> 47 [size =\"21892096\"]\n  2 -> 48 [size =\"21892096\"]\n  3 [size=\"47028224\", alpha=\"0.10\", expect_size=\"23514112\"] \n  3 -> 37 [size =\"23514112\"]\n  3 -> 38 [size =\"23514112\"]\n  3 -> 47 [size =\"23514112\"]\n  3 -> 48 [size =\"23514112\"]\n  3 -> 50 [size =\"23514112\"]\n  4 [size=\"46833664\", alpha=\"0.03\", expect_size=\"23416832\"] \n  4 -> 38 [size =\"23416832\"]\n  4 -> 48 [size =\"23416832\"]\n  4 -> 50 [size =\"23416832\"]\n  5 [size=\"80543744\", alpha=\"0.15\", expect_size=\"40271872\"] \n  5 -> 43 [size =\"40271872\"]\n  5 -> 44 [size =\"40271872\"]\n  5 -> 45 [size =\"40271872\"]\n  5 -> 46 [size =\"40271872\"]\n  5 -> 49 [size =\"40271872\"]\n  6 [size=\"30271488\", alpha=\"0.16\", expect_size=\"15135744\"] \n  6 -> 35 [size =\"15135744\"]\n  6 -> 45 [size =\"15135744\"]\n  6 -> 46 [size =\"15135744\"]\n  6 -> 47 [size =\"15135744\"]\n  7 [size=\"10967040\", alpha=\"0.09\", expect_size=\"5483520\"] \n  7 -> 35 [size =\"5483520\"]\n  7 -> 36 [size =\"5483520\"]\n  7 -> 38 [size =\"5483520\"]\n  7 -> 39 [size =\"5483520\"]\n  7 -> 47 [size =\"5483520\"]\n  8 [size=\"35883008\", alpha=\"0.04\", expect_size=\"17941504\"] \n  8 -> 35 [size =\"17941504\"]\n  8 -> 38 [size =\"17941504\"]\n  8 -> 39 [size =\"17941504\"]\n  8 -> 44 [size =\"17941504\"]\n  8 -> 46 [size =\"17941504\"]\n  9 [size=\"86138880\", alpha=\"0.13\", expect_size=\"43069440\"] \n  9 -> 36 [size =\"43069440\"]\n  9 -> 38 [size =\"43069440\"]\n  9 -> 39 [size =\"43069440\"]\n  9 -> 40 [size =\"43069440\"]\n  9 -> 41 [size =\"43069440\"]\n  9 -> 47 [size =\"43069440\"]\n  9 -> 49 [size =\"43069440\"]\n  10 [size=\"81815552\", alpha=\"0.08\", expect_size=\"40907776\"] \n  10 -> 38 [size =\"40907776\"]\n  10 -> 39 [size =\"40907776\"]\n  10 -> 39 [size =\"40907776\"]\n  10 -> 50 [size =\"40907776\"]\n  11 [size=\"32169984\", alpha=\"0.02\", expect_size=\"16084992\"] \n  11 -> 40 [size =\"16084992\"]\n  11 -> 46 [size =\"16084992\"]\n  11 -> 49 [size =\"16084992\"]\n  11 -> 50 [size =\"16084992\"]\n  12 [size=\"11294720\", alpha=\"0.11\", expect_size=\"5647360\"] \n  12 -> 36 [size =\"5647360\"]\n  12 -> 40 [size =\"5647360\"]\n  12 -> 46 [size =\"5647360\"]\n  12 -> 50 [size =\"5647360\"]\n  13 [size=\"69439488\", alpha=\"0.13\", expect_size=\"34719744\"] \n  13 -> 38 [size =\"34719744\"]\n  13 -> 41 [size =\"34719744\"]\n  13 -> 46 [size =\"34719744\"]\n  14 [size=\"20285440\", alpha=\"0.12\", expect_size=\"10142720\"] \n  14 -> 35 [size =\"10142720\"]\n  14 -> 36 [size =\"10142720\"]\n  14 -> 38 [size =\"10142720\"]\n  14 -> 42 [size =\"10142720\"]\n  14 -> 43 [size =\"10142720\"]\n  14 -> 46 [size =\"10142720\"]\n  14 -> 48 [size =\"10142720\"]\n  14 -> 49 [size =\"10142720\"]\n  15 [size=\"34996224\", alpha=\"0.04\", expect_size=\"17498112\"] \n  15 -> 36 [size =\"17498112\"]\n  15 -> 38 [size =\"17498112\"]\n  15 -> 44 [size =\"17498112\"]\n  15 -> 45 [size =\"17498112\"]\n  15 -> 46 [size =\"17498112\"]\n  15 -> 49 [size =\"17498112\"]\n  15 -> 50 [size =\"17498112\"]\n  16 [size=\"11059200\", alpha=\"0.18\", expect_size=\"5529600\"] \n  16 -> 35 [size =\"5529600\"]\n  16 -> 37 [size =\"5529600\"]\n  16 -> 38 [size =\"5529600\"]\n  16 -> 40 [size =\"5529600\"]\n  16 -> 45 [size =\"5529600\"]\n  16 -> 46 [size =\"5529600\"]\n  16 -> 48 [size =\"5529600\"]\n  16 -> 49 [size =\"5529600\"]\n  17 [size=\"84695040\", alpha=\"0.16\", expect_size=\"42347520\"] \n  17 -> 38 [size =\"42347520\"]\n  17 -> 45 [size =\"42347520\"]\n  17 -> 49 [size =\"42347520\"]\n  17 -> 50 [size =\"42347520\"]\n  18 [size=\"32712704\", alpha=\"0.01\", expect_size=\"16356352\"] \n  18 -> 35 [size =\"16356352\"]\n  18 -> 37 [size =\"16356352\"]\n  18 -> 44 [size =\"16356352\"]\n  18 -> 46 [size =\"16356352\"]\n  18 -> 48 [size =\"16356352\"]\n  18 -> 49 [size =\"16356352\"]\n  18 -> 50 [size =\"16356352\"]\n  19 [size=\"49715200\", alpha=\"0.00\", expect_size=\"24857600\"] \n  19 -> 35 [size =\"24857600\"]\n  19 -> 40 [size =\"24857600\"]\n  19 -> 46 [size =\"24857600\"]\n  19 -> 48 [size =\"24857600\"]\n  20 [size=\"18184192\", alpha=\"0.05\", expect_size=\"9092096\"] \n  20 -> 35 [size =\"9092096\"]\n  20 -> 40 [size =\"9092096\"]\n  20 -> 46 [size =\"9092096\"]\n  21 [size=\"57638912\", alpha=\"0.17\", expect_size=\"28819456\"] \n  21 -> 35 [size =\"28819456\"]\n  21 -> 42 [size =\"28819456\"]\n  21 -> 48 [size =\"28819456\"]\n  21 -> 49 [size =\"28819456\"]\n  22 [size=\"66908160\", alpha=\"0.16\", expect_size=\"33454080\"] \n  22 -> 35 [size =\"33454080\"]\n  22 -> 38 [size =\"33454080\"]\n  22 -> 48 [size =\"33454080\"]\n  22 -> 49 [size =\"33454080\"]\n  23 [size=\"26155008\", alpha=\"0.03\", expect_size=\"13077504\"] \n  23 -> 35 [size =\"13077504\"]\n  23 -> 38 [size =\"13077504\"]\n  23 -> 48 [size =\"13077504\"]\n  23 -> 49 [size =\"13077504\"]\n  24 [size=\"88459264\", alpha=\"0.18\", expect_size=\"44229632\"] \n  24 -> 35 [size =\"44229632\"]\n  24 -> 39 [size =\"44229632\"]\n  24 -> 40 [size =\"44229632\"]\n  24 -> 46 [size =\"44229632\"]\n  24 -> 49 [size =\"44229632\"]\n  24 -> 50 [size =\"44229632\"]\n  25 [size=\"52031488\", alpha=\"0.07\", expect_size=\"26015744\"] \n  25 -> 35 [size =\"26015744\"]\n  25 -> 38 [size =\"26015744\"]\n  25 -> 46 [size =\"26015744\"]\n  25 -> 48 [size =\"26015744\"]\n  25 -> 49 [size =\"26015744\"]\n  26 [size=\"70158336\", alpha=\"0.01\", expect_size=\"35079168\"] \n  26 -> 35 [size =\"35079168\"]\n  26 -> 38 [size =\"35079168\"]\n  26 -> 39 [size =\"35079168\"]\n  26 -> 44 [size =\"35079168\"]\n  26 -> 48 [size =\"35079168\"]\n  26 -> 49 [size =\"35079168\"]\n  26 -> 50 [size =\"35079168\"]\n  27 [size=\"60579840\", alpha=\"0.14\", expect_size=\"30289920\"] \n  27 -> 35 [size =\"30289920\"]\n  27 -> 38 [size =\"30289920\"]\n  27 -> 39 [size =\"30289920\"]\n  27 -> 47 [size =\"30289920\"]\n  28 [size=\"42715136\", alpha=\"0.13\", expect_size=\"21357568\"] \n  28 -> 35 [size =\"21357568\"]\n  28 -> 39 [size =\"21357568\"]\n  28 -> 40 [size =\"21357568\"]\n  28 -> 42 [size =\"21357568\"]\n  28 -> 43 [size =\"21357568\"]\n  28 -> 47 [size =\"21357568\"]\n  28 -> 49 [size =\"21357568\"]\n  29 [size=\"45682688\", alpha=\"0.08\", expect_size=\"22841344\"] \n  29 -> 35 [size =\"22841344\"]\n  29 -> 36 [size =\"22841344\"]\n  29 -> 37 [size =\"22841344\"]\n  29 -> 42 [size =\"22841344\"]\n  29 -> 43 [size =\"22841344\"]\n  29 -> 46 [size =\"22841344\"]\n  29 -> 47 [size =\"22841344\"]\n  30 [size=\"46962688\", alpha=\"0.19\", expect_size=\"23481344\"] \n  30 -> 45 [size =\"23481344\"]\n  31 [size=\"70285312\", alpha=\"0.14\", expect_size=\"35142656\"] \n  32 [size=\"56127488\", alpha=\"0.09\", expect_size=\"28063744\"] \n  32 -> 38 [size =\"28063744\"]\n  32 -> 40 [size =\"28063744\"]\n  32 -> 42 [size =\"28063744\"]\n  32 -> 48 [size =\"28063744\"]\n  33 [size=\"37791744\", alpha=\"0.16\", expect_size=\"18895872\"] \n  33 -> 35 [size =\"18895872\"]\n  33 -> 43 [size =\"18895872\"]\n  33 -> 44 [size =\"18895872\"]\n  33 -> 45 [size =\"18895872\"]\n  33 -> 47 [size =\"18895872\"]\n  33 -> 48 [size =\"18895872\"]\n  33 -> 49 [size =\"18895872\"]\n  34 [size=\"51818496\", alpha=\"0.06\", expect_size=\"25909248\"] \n  34 -> 37 [size =\"25909248\"]\n  34 -> 39 [size =\"25909248\"]\n  34 -> 40 [size =\"25909248\"]\n  34 -> 45 [size =\"25909248\"]\n  34 -> 47 [size =\"25909248\"]\n  34 -> 49 [size =\"25909248\"]\n  35 [size=\"40183808\", alpha=\"0.00\", expect_size=\"20091904\"] \n  36 [size=\"72947712\", alpha=\"0.15\", expect_size=\"36473856\"] \n  37 [size=\"75526144\", alpha=\"0.06\", expect_size=\"37763072\"] \n  38 [size=\"48398336\", alpha=\"0.01\", expect_size=\"24199168\"] \n  39 [size=\"16967680\", alpha=\"0.05\", expect_size=\"8483840\"] \n  40 [size=\"56887296\", alpha=\"0.10\", expect_size=\"28443648\"] \n  41 [size=\"50741248\", alpha=\"0.05\", expect_size=\"25370624\"] \n  42 [size=\"20217856\", alpha=\"0.13\", expect_size=\"10108928\"] \n  43 [size=\"60495872\", alpha=\"0.03\", expect_size=\"30247936\"] \n  44 [size=\"41791488\", alpha=\"0.10\", expect_size=\"20895744\"] \n  45 [size=\"68272128\", alpha=\"0.06\", expect_size=\"34136064\"] \n  46 [size=\"70080512\", alpha=\"0.15\", expect_size=\"35040256\"] \n  47 [size=\"47790080\", alpha=\"0.14\", expect_size=\"23895040\"] \n  48 [size=\"75610112\", alpha=\"0.20\", expect_size=\"37805056\"] \n  49 [size=\"81399808\", alpha=\"0.13\", expect_size=\"40699904\"] \n  50 [size=\"104386560\", alpha=\"0.14\", expect_size=\"52193280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.282.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39154347\", alpha=\"0.17\", expect_size=\"11746304\"] \n  1 -> 3 [size =\"11746304\"]\n  1 -> 4 [size =\"11746304\"]\n  1 -> 5 [size =\"11746304\"]\n  2 [size=\"95692800\", alpha=\"0.12\", expect_size=\"28707840\"] \n  2 -> 5 [size =\"28707840\"]\n  3 [size=\"128303787\", alpha=\"0.07\", expect_size=\"38491136\"] \n  3 -> 6 [size =\"38491136\"]\n  4 [size=\"153371307\", alpha=\"0.16\", expect_size=\"46011392\"] \n  4 -> 6 [size =\"46011392\"]\n  4 -> 8 [size =\"46011392\"]\n  5 [size=\"121371307\", alpha=\"0.02\", expect_size=\"36411392\"] \n  5 -> 7 [size =\"36411392\"]\n  6 [size=\"143807147\", alpha=\"0.06\", expect_size=\"43142144\"] \n  7 [size=\"18152107\", alpha=\"0.11\", expect_size=\"5445632\"] \n  7 -> 10 [size =\"5445632\"]\n  8 [size=\"174182400\", alpha=\"0.06\", expect_size=\"52254720\"] \n  8 -> 9 [size =\"52254720\"]\n  8 -> 10 [size =\"52254720\"]\n  9 [size=\"135198720\", alpha=\"0.06\", expect_size=\"40559616\"] \n  9 -> 11 [size =\"40559616\"]\n  9 -> 12 [size =\"40559616\"]\n  10 [size=\"151050240\", alpha=\"0.07\", expect_size=\"45315072\"] \n  10 -> 11 [size =\"45315072\"]\n  10 -> 12 [size =\"45315072\"]\n  11 [size=\"165741227\", alpha=\"0.08\", expect_size=\"49722368\"] \n  11 -> 13 [size =\"49722368\"]\n  11 -> 14 [size =\"49722368\"]\n  11 -> 15 [size =\"49722368\"]\n  12 [size=\"140895573\", alpha=\"0.11\", expect_size=\"42268672\"] \n  12 -> 13 [size =\"42268672\"]\n  13 [size=\"81653760\", alpha=\"0.18\", expect_size=\"24496128\"] \n  13 -> 16 [size =\"24496128\"]\n  14 [size=\"133915307\", alpha=\"0.07\", expect_size=\"40174592\"] \n  14 -> 16 [size =\"40174592\"]\n  14 -> 17 [size =\"40174592\"]\n  15 [size=\"102021120\", alpha=\"0.15\", expect_size=\"30606336\"] \n  16 [size=\"119749973\", alpha=\"0.19\", expect_size=\"35924992\"] \n  17 [size=\"166751573\", alpha=\"0.03\", expect_size=\"50025472\"] \n  17 -> 18 [size =\"50025472\"]\n  17 -> 19 [size =\"50025472\"]\n  18 [size=\"96467627\", alpha=\"0.01\", expect_size=\"28940288\"] \n  18 -> 20 [size =\"28940288\"]\n  18 -> 21 [size =\"28940288\"]\n  18 -> 22 [size =\"28940288\"]\n  19 [size=\"143813973\", alpha=\"0.13\", expect_size=\"43144192\"] \n  19 -> 20 [size =\"43144192\"]\n  19 -> 21 [size =\"43144192\"]\n  19 -> 22 [size =\"43144192\"]\n  20 [size=\"31853227\", alpha=\"0.20\", expect_size=\"9555968\"] \n  20 -> 23 [size =\"9555968\"]\n  21 [size=\"89869653\", alpha=\"0.09\", expect_size=\"26960896\"] \n  21 -> 23 [size =\"26960896\"]\n  21 -> 24 [size =\"26960896\"]\n  22 [size=\"148862293\", alpha=\"0.09\", expect_size=\"44658688\"] \n  23 [size=\"76161707\", alpha=\"0.02\", expect_size=\"22848512\"] \n  23 -> 25 [size =\"22848512\"]\n  24 [size=\"58917547\", alpha=\"0.13\", expect_size=\"17675264\"] \n  24 -> 26 [size =\"17675264\"]\n  24 -> 27 [size =\"17675264\"]\n  25 [size=\"111076693\", alpha=\"0.17\", expect_size=\"33323008\"] \n  25 -> 29 [size =\"33323008\"]\n  26 [size=\"70625280\", alpha=\"0.17\", expect_size=\"21187584\"] \n  27 [size=\"61668693\", alpha=\"0.17\", expect_size=\"18500608\"] \n  27 -> 28 [size =\"18500608\"]\n  27 -> 30 [size =\"18500608\"]\n  28 [size=\"82923520\", alpha=\"0.17\", expect_size=\"24877056\"] \n  28 -> 31 [size =\"24877056\"]\n  28 -> 33 [size =\"24877056\"]\n  29 [size=\"87442773\", alpha=\"0.13\", expect_size=\"26232832\"] \n  29 -> 31 [size =\"26232832\"]\n  29 -> 33 [size =\"26232832\"]\n  30 [size=\"30692693\", alpha=\"0.05\", expect_size=\"9207808\"] \n  30 -> 31 [size =\"9207808\"]\n  30 -> 32 [size =\"9207808\"]\n  30 -> 33 [size =\"9207808\"]\n  31 [size=\"27173547\", alpha=\"0.16\", expect_size=\"8152064\"] \n  31 -> 34 [size =\"8152064\"]\n  32 [size=\"98566827\", alpha=\"0.02\", expect_size=\"29570048\"] \n  32 -> 34 [size =\"29570048\"]\n  33 [size=\"165802667\", alpha=\"0.17\", expect_size=\"49740800\"] \n  33 -> 34 [size =\"49740800\"]\n  33 -> 35 [size =\"49740800\"]\n  33 -> 36 [size =\"49740800\"]\n  34 [size=\"25135787\", alpha=\"0.07\", expect_size=\"7540736\"] \n  35 [size=\"127034027\", alpha=\"0.07\", expect_size=\"38110208\"] \n  35 -> 37 [size =\"38110208\"]\n  35 -> 38 [size =\"38110208\"]\n  36 [size=\"103536640\", alpha=\"0.00\", expect_size=\"31060992\"] \n  36 -> 38 [size =\"31060992\"]\n  36 -> 39 [size =\"31060992\"]\n  37 [size=\"80977920\", alpha=\"0.13\", expect_size=\"24293376\"] \n  37 -> 40 [size =\"24293376\"]\n  37 -> 41 [size =\"24293376\"]\n  37 -> 42 [size =\"24293376\"]\n  38 [size=\"60033707\", alpha=\"0.15\", expect_size=\"18010112\"] \n  38 -> 41 [size =\"18010112\"]\n  39 [size=\"40123733\", alpha=\"0.13\", expect_size=\"12037120\"] \n  39 -> 40 [size =\"12037120\"]\n  40 [size=\"138977280\", alpha=\"0.14\", expect_size=\"41693184\"] \n  40 -> 43 [size =\"41693184\"]\n  41 [size=\"18305707\", alpha=\"0.03\", expect_size=\"5491712\"] \n  42 [size=\"140950187\", alpha=\"0.09\", expect_size=\"42285056\"] \n  42 -> 44 [size =\"42285056\"]\n  43 [size=\"158470827\", alpha=\"0.03\", expect_size=\"47541248\"] \n  43 -> 45 [size =\"47541248\"]\n  43 -> 46 [size =\"47541248\"]\n  44 [size=\"135051947\", alpha=\"0.02\", expect_size=\"40515584\"] \n  44 -> 45 [size =\"40515584\"]\n  44 -> 47 [size =\"40515584\"]\n  45 [size=\"29842773\", alpha=\"0.13\", expect_size=\"8952832\"] \n  45 -> 49 [size =\"8952832\"]\n  46 [size=\"84677973\", alpha=\"0.10\", expect_size=\"25403392\"] \n  46 -> 48 [size =\"25403392\"]\n  47 [size=\"87265280\", alpha=\"0.14\", expect_size=\"26179584\"] \n  47 -> 48 [size =\"26179584\"]\n  48 [size=\"29590187\", alpha=\"0.05\", expect_size=\"8877056\"] \n  48 -> 50 [size =\"8877056\"]\n  49 [size=\"147933867\", alpha=\"0.06\", expect_size=\"44380160\"] \n  49 -> 50 [size =\"44380160\"]\n  50 [size=\"96778240\", alpha=\"0.08\", expect_size=\"29033472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.283.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99259733\", alpha=\"0.08\", expect_size=\"29777920\"] \n  1 -> 19 [size =\"29777920\"]\n  1 -> 22 [size =\"29777920\"]\n  1 -> 24 [size =\"29777920\"]\n  1 -> 25 [size =\"29777920\"]\n  1 -> 27 [size =\"29777920\"]\n  1 -> 29 [size =\"29777920\"]\n  1 -> 29 [size =\"29777920\"]\n  1 -> 32 [size =\"29777920\"]\n  2 [size=\"143650133\", alpha=\"0.19\", expect_size=\"43095040\"] \n  2 -> 17 [size =\"43095040\"]\n  2 -> 18 [size =\"43095040\"]\n  2 -> 19 [size =\"43095040\"]\n  2 -> 22 [size =\"43095040\"]\n  2 -> 25 [size =\"43095040\"]\n  2 -> 32 [size =\"43095040\"]\n  3 [size=\"99915093\", alpha=\"0.01\", expect_size=\"29974528\"] \n  3 -> 18 [size =\"29974528\"]\n  3 -> 19 [size =\"29974528\"]\n  3 -> 22 [size =\"29974528\"]\n  3 -> 24 [size =\"29974528\"]\n  3 -> 25 [size =\"29974528\"]\n  3 -> 26 [size =\"29974528\"]\n  3 -> 30 [size =\"29974528\"]\n  3 -> 32 [size =\"29974528\"]\n  4 [size=\"154548907\", alpha=\"0.09\", expect_size=\"46364672\"] \n  4 -> 18 [size =\"46364672\"]\n  4 -> 19 [size =\"46364672\"]\n  4 -> 26 [size =\"46364672\"]\n  4 -> 30 [size =\"46364672\"]\n  4 -> 32 [size =\"46364672\"]\n  5 [size=\"93443413\", alpha=\"0.10\", expect_size=\"28033024\"] \n  5 -> 18 [size =\"28033024\"]\n  5 -> 24 [size =\"28033024\"]\n  5 -> 25 [size =\"28033024\"]\n  5 -> 26 [size =\"28033024\"]\n  5 -> 27 [size =\"28033024\"]\n  5 -> 28 [size =\"28033024\"]\n  5 -> 29 [size =\"28033024\"]\n  5 -> 32 [size =\"28033024\"]\n  6 [size=\"165317973\", alpha=\"0.03\", expect_size=\"49595392\"] \n  6 -> 18 [size =\"49595392\"]\n  6 -> 24 [size =\"49595392\"]\n  6 -> 25 [size =\"49595392\"]\n  6 -> 26 [size =\"49595392\"]\n  6 -> 27 [size =\"49595392\"]\n  6 -> 29 [size =\"49595392\"]\n  7 [size=\"139414187\", alpha=\"0.13\", expect_size=\"41824256\"] \n  7 -> 17 [size =\"41824256\"]\n  7 -> 18 [size =\"41824256\"]\n  7 -> 19 [size =\"41824256\"]\n  7 -> 20 [size =\"41824256\"]\n  7 -> 24 [size =\"41824256\"]\n  7 -> 25 [size =\"41824256\"]\n  7 -> 26 [size =\"41824256\"]\n  7 -> 27 [size =\"41824256\"]\n  7 -> 31 [size =\"41824256\"]\n  7 -> 32 [size =\"41824256\"]\n  8 [size=\"114251093\", alpha=\"0.16\", expect_size=\"34275328\"] \n  8 -> 17 [size =\"34275328\"]\n  8 -> 18 [size =\"34275328\"]\n  8 -> 19 [size =\"34275328\"]\n  8 -> 20 [size =\"34275328\"]\n  8 -> 24 [size =\"34275328\"]\n  8 -> 25 [size =\"34275328\"]\n  8 -> 26 [size =\"34275328\"]\n  8 -> 27 [size =\"34275328\"]\n  8 -> 29 [size =\"34275328\"]\n  9 [size=\"26535253\", alpha=\"0.05\", expect_size=\"7960576\"] \n  9 -> 19 [size =\"7960576\"]\n  9 -> 22 [size =\"7960576\"]\n  9 -> 24 [size =\"7960576\"]\n  9 -> 25 [size =\"7960576\"]\n  9 -> 27 [size =\"7960576\"]\n  9 -> 31 [size =\"7960576\"]\n  9 -> 32 [size =\"7960576\"]\n  10 [size=\"135075840\", alpha=\"0.06\", expect_size=\"40522752\"] \n  10 -> 18 [size =\"40522752\"]\n  10 -> 19 [size =\"40522752\"]\n  10 -> 22 [size =\"40522752\"]\n  10 -> 24 [size =\"40522752\"]\n  10 -> 26 [size =\"40522752\"]\n  10 -> 27 [size =\"40522752\"]\n  10 -> 29 [size =\"40522752\"]\n  10 -> 30 [size =\"40522752\"]\n  10 -> 31 [size =\"40522752\"]\n  10 -> 32 [size =\"40522752\"]\n  11 [size=\"129706667\", alpha=\"0.11\", expect_size=\"38912000\"] \n  11 -> 18 [size =\"38912000\"]\n  11 -> 19 [size =\"38912000\"]\n  11 -> 21 [size =\"38912000\"]\n  11 -> 24 [size =\"38912000\"]\n  11 -> 26 [size =\"38912000\"]\n  11 -> 27 [size =\"38912000\"]\n  11 -> 29 [size =\"38912000\"]\n  11 -> 31 [size =\"38912000\"]\n  11 -> 31 [size =\"38912000\"]\n  12 [size=\"38550187\", alpha=\"0.03\", expect_size=\"11565056\"] \n  12 -> 17 [size =\"11565056\"]\n  12 -> 18 [size =\"11565056\"]\n  12 -> 19 [size =\"11565056\"]\n  12 -> 24 [size =\"11565056\"]\n  12 -> 25 [size =\"11565056\"]\n  12 -> 26 [size =\"11565056\"]\n  12 -> 27 [size =\"11565056\"]\n  12 -> 31 [size =\"11565056\"]\n  12 -> 32 [size =\"11565056\"]\n  13 [size=\"28880213\", alpha=\"0.04\", expect_size=\"8664064\"] \n  13 -> 18 [size =\"8664064\"]\n  13 -> 21 [size =\"8664064\"]\n  13 -> 25 [size =\"8664064\"]\n  13 -> 26 [size =\"8664064\"]\n  13 -> 28 [size =\"8664064\"]\n  13 -> 31 [size =\"8664064\"]\n  13 -> 32 [size =\"8664064\"]\n  14 [size=\"39656107\", alpha=\"0.09\", expect_size=\"11896832\"] \n  14 -> 18 [size =\"11896832\"]\n  14 -> 19 [size =\"11896832\"]\n  14 -> 24 [size =\"11896832\"]\n  14 -> 26 [size =\"11896832\"]\n  14 -> 31 [size =\"11896832\"]\n  14 -> 32 [size =\"11896832\"]\n  15 [size=\"106984107\", alpha=\"0.14\", expect_size=\"32095232\"] \n  15 -> 18 [size =\"32095232\"]\n  15 -> 25 [size =\"32095232\"]\n  15 -> 26 [size =\"32095232\"]\n  15 -> 27 [size =\"32095232\"]\n  15 -> 29 [size =\"32095232\"]\n  15 -> 31 [size =\"32095232\"]\n  15 -> 32 [size =\"32095232\"]\n  16 [size=\"27289600\", alpha=\"0.10\", expect_size=\"8186880\"] \n  16 -> 18 [size =\"8186880\"]\n  16 -> 23 [size =\"8186880\"]\n  16 -> 24 [size =\"8186880\"]\n  16 -> 25 [size =\"8186880\"]\n  16 -> 26 [size =\"8186880\"]\n  16 -> 27 [size =\"8186880\"]\n  16 -> 29 [size =\"8186880\"]\n  17 [size=\"50274987\", alpha=\"0.16\", expect_size=\"15082496\"] \n  17 -> 33 [size =\"15082496\"]\n  17 -> 34 [size =\"15082496\"]\n  17 -> 36 [size =\"15082496\"]\n  17 -> 38 [size =\"15082496\"]\n  17 -> 40 [size =\"15082496\"]\n  18 [size=\"154030080\", alpha=\"0.09\", expect_size=\"46209024\"] \n  18 -> 34 [size =\"46209024\"]\n  18 -> 34 [size =\"46209024\"]\n  18 -> 36 [size =\"46209024\"]\n  18 -> 37 [size =\"46209024\"]\n  18 -> 38 [size =\"46209024\"]\n  19 [size=\"120804693\", alpha=\"0.20\", expect_size=\"36241408\"] \n  19 -> 38 [size =\"36241408\"]\n  19 -> 39 [size =\"36241408\"]\n  19 -> 43 [size =\"36241408\"]\n  20 [size=\"156535467\", alpha=\"0.03\", expect_size=\"46960640\"] \n  20 -> 35 [size =\"46960640\"]\n  20 -> 36 [size =\"46960640\"]\n  20 -> 37 [size =\"46960640\"]\n  20 -> 38 [size =\"46960640\"]\n  20 -> 39 [size =\"46960640\"]\n  20 -> 41 [size =\"46960640\"]\n  20 -> 43 [size =\"46960640\"]\n  21 [size=\"48424960\", alpha=\"0.17\", expect_size=\"14527488\"] \n  21 -> 37 [size =\"14527488\"]\n  21 -> 38 [size =\"14527488\"]\n  22 [size=\"135782400\", alpha=\"0.07\", expect_size=\"40734720\"] \n  22 -> 34 [size =\"40734720\"]\n  22 -> 35 [size =\"40734720\"]\n  22 -> 37 [size =\"40734720\"]\n  22 -> 38 [size =\"40734720\"]\n  22 -> 40 [size =\"40734720\"]\n  22 -> 42 [size =\"40734720\"]\n  23 [size=\"162901333\", alpha=\"0.07\", expect_size=\"48870400\"] \n  23 -> 35 [size =\"48870400\"]\n  23 -> 36 [size =\"48870400\"]\n  23 -> 37 [size =\"48870400\"]\n  23 -> 40 [size =\"48870400\"]\n  23 -> 40 [size =\"48870400\"]\n  23 -> 42 [size =\"48870400\"]\n  23 -> 43 [size =\"48870400\"]\n  24 [size=\"39338667\", alpha=\"0.05\", expect_size=\"11801600\"] \n  24 -> 34 [size =\"11801600\"]\n  24 -> 35 [size =\"11801600\"]\n  24 -> 37 [size =\"11801600\"]\n  24 -> 39 [size =\"11801600\"]\n  24 -> 40 [size =\"11801600\"]\n  24 -> 41 [size =\"11801600\"]\n  24 -> 42 [size =\"11801600\"]\n  24 -> 43 [size =\"11801600\"]\n  25 [size=\"107615573\", alpha=\"0.12\", expect_size=\"32284672\"] \n  25 -> 35 [size =\"32284672\"]\n  25 -> 37 [size =\"32284672\"]\n  25 -> 37 [size =\"32284672\"]\n  25 -> 38 [size =\"32284672\"]\n  25 -> 40 [size =\"32284672\"]\n  25 -> 41 [size =\"32284672\"]\n  26 [size=\"62583467\", alpha=\"0.18\", expect_size=\"18775040\"] \n  26 -> 34 [size =\"18775040\"]\n  26 -> 35 [size =\"18775040\"]\n  26 -> 38 [size =\"18775040\"]\n  26 -> 39 [size =\"18775040\"]\n  26 -> 40 [size =\"18775040\"]\n  26 -> 41 [size =\"18775040\"]\n  27 [size=\"144899413\", alpha=\"0.20\", expect_size=\"43469824\"] \n  27 -> 33 [size =\"43469824\"]\n  27 -> 34 [size =\"43469824\"]\n  27 -> 41 [size =\"43469824\"]\n  27 -> 42 [size =\"43469824\"]\n  28 [size=\"112612693\", alpha=\"0.14\", expect_size=\"33783808\"] \n  28 -> 34 [size =\"33783808\"]\n  28 -> 34 [size =\"33783808\"]\n  28 -> 36 [size =\"33783808\"]\n  28 -> 37 [size =\"33783808\"]\n  28 -> 38 [size =\"33783808\"]\n  28 -> 39 [size =\"33783808\"]\n  28 -> 42 [size =\"33783808\"]\n  29 [size=\"27095040\", alpha=\"0.09\", expect_size=\"8128512\"] \n  29 -> 33 [size =\"8128512\"]\n  29 -> 34 [size =\"8128512\"]\n  29 -> 37 [size =\"8128512\"]\n  29 -> 37 [size =\"8128512\"]\n  29 -> 41 [size =\"8128512\"]\n  29 -> 43 [size =\"8128512\"]\n  30 [size=\"25838933\", alpha=\"0.19\", expect_size=\"7751680\"] \n  30 -> 34 [size =\"7751680\"]\n  30 -> 37 [size =\"7751680\"]\n  30 -> 37 [size =\"7751680\"]\n  30 -> 38 [size =\"7751680\"]\n  30 -> 40 [size =\"7751680\"]\n  30 -> 41 [size =\"7751680\"]\n  30 -> 43 [size =\"7751680\"]\n  31 [size=\"50728960\", alpha=\"0.03\", expect_size=\"15218688\"] \n  31 -> 34 [size =\"15218688\"]\n  31 -> 35 [size =\"15218688\"]\n  31 -> 37 [size =\"15218688\"]\n  31 -> 40 [size =\"15218688\"]\n  32 [size=\"26258773\", alpha=\"0.10\", expect_size=\"7877632\"] \n  32 -> 34 [size =\"7877632\"]\n  32 -> 35 [size =\"7877632\"]\n  32 -> 37 [size =\"7877632\"]\n  32 -> 38 [size =\"7877632\"]\n  32 -> 40 [size =\"7877632\"]\n  33 [size=\"78609067\", alpha=\"0.19\", expect_size=\"23582720\"] \n  33 -> 44 [size =\"23582720\"]\n  33 -> 47 [size =\"23582720\"]\n  33 -> 48 [size =\"23582720\"]\n  33 -> 49 [size =\"23582720\"]\n  33 -> 50 [size =\"23582720\"]\n  34 [size=\"132935680\", alpha=\"0.10\", expect_size=\"39880704\"] \n  34 -> 44 [size =\"39880704\"]\n  34 -> 46 [size =\"39880704\"]\n  34 -> 47 [size =\"39880704\"]\n  34 -> 49 [size =\"39880704\"]\n  35 [size=\"169021440\", alpha=\"0.13\", expect_size=\"50706432\"] \n  35 -> 44 [size =\"50706432\"]\n  35 -> 45 [size =\"50706432\"]\n  36 [size=\"105557333\", alpha=\"0.16\", expect_size=\"31667200\"] \n  36 -> 44 [size =\"31667200\"]\n  36 -> 47 [size =\"31667200\"]\n  36 -> 49 [size =\"31667200\"]\n  37 [size=\"90378240\", alpha=\"0.05\", expect_size=\"27113472\"] \n  37 -> 45 [size =\"27113472\"]\n  37 -> 47 [size =\"27113472\"]\n  37 -> 48 [size =\"27113472\"]\n  37 -> 49 [size =\"27113472\"]\n  38 [size=\"88145920\", alpha=\"0.10\", expect_size=\"26443776\"] \n  38 -> 44 [size =\"26443776\"]\n  38 -> 45 [size =\"26443776\"]\n  39 [size=\"38345387\", alpha=\"0.09\", expect_size=\"11503616\"] \n  39 -> 44 [size =\"11503616\"]\n  39 -> 46 [size =\"11503616\"]\n  39 -> 47 [size =\"11503616\"]\n  39 -> 49 [size =\"11503616\"]\n  39 -> 50 [size =\"11503616\"]\n  40 [size=\"107325440\", alpha=\"0.05\", expect_size=\"32197632\"] \n  40 -> 44 [size =\"32197632\"]\n  40 -> 46 [size =\"32197632\"]\n  40 -> 49 [size =\"32197632\"]\n  40 -> 49 [size =\"32197632\"]\n  41 [size=\"98116267\", alpha=\"0.05\", expect_size=\"29434880\"] \n  41 -> 44 [size =\"29434880\"]\n  42 [size=\"122944853\", alpha=\"0.00\", expect_size=\"36883456\"] \n  42 -> 44 [size =\"36883456\"]\n  42 -> 45 [size =\"36883456\"]\n  42 -> 49 [size =\"36883456\"]\n  42 -> 50 [size =\"36883456\"]\n  43 [size=\"45608960\", alpha=\"0.14\", expect_size=\"13682688\"] \n  43 -> 44 [size =\"13682688\"]\n  43 -> 45 [size =\"13682688\"]\n  43 -> 49 [size =\"13682688\"]\n  43 -> 50 [size =\"13682688\"]\n  44 [size=\"34795520\", alpha=\"0.11\", expect_size=\"10438656\"] \n  45 [size=\"112691200\", alpha=\"0.19\", expect_size=\"33807360\"] \n  46 [size=\"54227627\", alpha=\"0.12\", expect_size=\"16268288\"] \n  47 [size=\"26504533\", alpha=\"0.02\", expect_size=\"7951360\"] \n  48 [size=\"62327467\", alpha=\"0.04\", expect_size=\"18698240\"] \n  49 [size=\"140960427\", alpha=\"0.07\", expect_size=\"42288128\"] \n  50 [size=\"51162453\", alpha=\"0.12\", expect_size=\"15348736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.284.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51875840\", alpha=\"0.13\", expect_size=\"25937920\"] \n  1 -> 5 [size =\"25937920\"]\n  1 -> 6 [size =\"25937920\"]\n  2 [size=\"104382464\", alpha=\"0.11\", expect_size=\"52191232\"] \n  2 -> 5 [size =\"52191232\"]\n  2 -> 6 [size =\"52191232\"]\n  3 [size=\"63240192\", alpha=\"0.04\", expect_size=\"31620096\"] \n  3 -> 6 [size =\"31620096\"]\n  4 [size=\"70610944\", alpha=\"0.02\", expect_size=\"35305472\"] \n  4 -> 5 [size =\"35305472\"]\n  4 -> 6 [size =\"35305472\"]\n  5 [size=\"18857984\", alpha=\"0.04\", expect_size=\"9428992\"] \n  5 -> 7 [size =\"9428992\"]\n  5 -> 8 [size =\"9428992\"]\n  6 [size=\"54896640\", alpha=\"0.17\", expect_size=\"27448320\"] \n  6 -> 8 [size =\"27448320\"]\n  7 [size=\"44023808\", alpha=\"0.19\", expect_size=\"22011904\"] \n  7 -> 9 [size =\"22011904\"]\n  8 [size=\"47226880\", alpha=\"0.06\", expect_size=\"23613440\"] \n  8 -> 9 [size =\"23613440\"]\n  9 [size=\"43823104\", alpha=\"0.13\", expect_size=\"21911552\"] \n  9 -> 10 [size =\"21911552\"]\n  9 -> 11 [size =\"21911552\"]\n  10 [size=\"28035072\", alpha=\"0.10\", expect_size=\"14017536\"] \n  10 -> 13 [size =\"14017536\"]\n  11 [size=\"51359744\", alpha=\"0.15\", expect_size=\"25679872\"] \n  11 -> 12 [size =\"25679872\"]\n  12 [size=\"19355648\", alpha=\"0.16\", expect_size=\"9677824\"] \n  12 -> 14 [size =\"9677824\"]\n  12 -> 15 [size =\"9677824\"]\n  12 -> 16 [size =\"9677824\"]\n  13 [size=\"71219200\", alpha=\"0.09\", expect_size=\"35609600\"] \n  13 -> 14 [size =\"35609600\"]\n  13 -> 15 [size =\"35609600\"]\n  13 -> 16 [size =\"35609600\"]\n  14 [size=\"91326464\", alpha=\"0.08\", expect_size=\"45663232\"] \n  14 -> 18 [size =\"45663232\"]\n  14 -> 20 [size =\"45663232\"]\n  15 [size=\"102041600\", alpha=\"0.10\", expect_size=\"51020800\"] \n  15 -> 17 [size =\"51020800\"]\n  15 -> 18 [size =\"51020800\"]\n  15 -> 19 [size =\"51020800\"]\n  15 -> 20 [size =\"51020800\"]\n  16 [size=\"27674624\", alpha=\"0.16\", expect_size=\"13837312\"] \n  16 -> 18 [size =\"13837312\"]\n  16 -> 19 [size =\"13837312\"]\n  16 -> 19 [size =\"13837312\"]\n  16 -> 20 [size =\"13837312\"]\n  17 [size=\"13078528\", alpha=\"0.06\", expect_size=\"6539264\"] \n  17 -> 22 [size =\"6539264\"]\n  18 [size=\"102000640\", alpha=\"0.13\", expect_size=\"51000320\"] \n  19 [size=\"35977216\", alpha=\"0.14\", expect_size=\"17988608\"] \n  19 -> 22 [size =\"17988608\"]\n  20 [size=\"95647744\", alpha=\"0.01\", expect_size=\"47823872\"] \n  20 -> 21 [size =\"47823872\"]\n  20 -> 22 [size =\"47823872\"]\n  21 [size=\"47882240\", alpha=\"0.17\", expect_size=\"23941120\"] \n  21 -> 23 [size =\"23941120\"]\n  22 [size=\"22118400\", alpha=\"0.13\", expect_size=\"11059200\"] \n  22 -> 23 [size =\"11059200\"]\n  23 [size=\"99563520\", alpha=\"0.19\", expect_size=\"49781760\"] \n  23 -> 24 [size =\"49781760\"]\n  24 [size=\"49610752\", alpha=\"0.19\", expect_size=\"24805376\"] \n  24 -> 25 [size =\"24805376\"]\n  24 -> 26 [size =\"24805376\"]\n  24 -> 27 [size =\"24805376\"]\n  24 -> 28 [size =\"24805376\"]\n  25 [size=\"86884352\", alpha=\"0.00\", expect_size=\"43442176\"] \n  25 -> 29 [size =\"43442176\"]\n  25 -> 30 [size =\"43442176\"]\n  26 [size=\"40060928\", alpha=\"0.11\", expect_size=\"20030464\"] \n  27 [size=\"20240384\", alpha=\"0.09\", expect_size=\"10120192\"] \n  27 -> 30 [size =\"10120192\"]\n  28 [size=\"48146432\", alpha=\"0.14\", expect_size=\"24073216\"] \n  28 -> 30 [size =\"24073216\"]\n  29 [size=\"15820800\", alpha=\"0.07\", expect_size=\"7910400\"] \n  29 -> 31 [size =\"7910400\"]\n  29 -> 32 [size =\"7910400\"]\n  29 -> 33 [size =\"7910400\"]\n  30 [size=\"82886656\", alpha=\"0.04\", expect_size=\"41443328\"] \n  30 -> 31 [size =\"41443328\"]\n  30 -> 34 [size =\"41443328\"]\n  31 [size=\"88412160\", alpha=\"0.09\", expect_size=\"44206080\"] \n  31 -> 36 [size =\"44206080\"]\n  31 -> 37 [size =\"44206080\"]\n  32 [size=\"73789440\", alpha=\"0.16\", expect_size=\"36894720\"] \n  32 -> 35 [size =\"36894720\"]\n  32 -> 36 [size =\"36894720\"]\n  32 -> 37 [size =\"36894720\"]\n  33 [size=\"38541312\", alpha=\"0.15\", expect_size=\"19270656\"] \n  33 -> 35 [size =\"19270656\"]\n  33 -> 36 [size =\"19270656\"]\n  33 -> 37 [size =\"19270656\"]\n  34 [size=\"35426304\", alpha=\"0.12\", expect_size=\"17713152\"] \n  34 -> 36 [size =\"17713152\"]\n  34 -> 37 [size =\"17713152\"]\n  35 [size=\"30197760\", alpha=\"0.09\", expect_size=\"15098880\"] \n  35 -> 38 [size =\"15098880\"]\n  35 -> 39 [size =\"15098880\"]\n  36 [size=\"31229952\", alpha=\"0.09\", expect_size=\"15614976\"] \n  36 -> 38 [size =\"15614976\"]\n  36 -> 39 [size =\"15614976\"]\n  37 [size=\"82937856\", alpha=\"0.09\", expect_size=\"41468928\"] \n  37 -> 38 [size =\"41468928\"]\n  37 -> 39 [size =\"41468928\"]\n  38 [size=\"30113792\", alpha=\"0.09\", expect_size=\"15056896\"] \n  38 -> 40 [size =\"15056896\"]\n  38 -> 41 [size =\"15056896\"]\n  38 -> 42 [size =\"15056896\"]\n  39 [size=\"98244608\", alpha=\"0.15\", expect_size=\"49122304\"] \n  40 [size=\"37556224\", alpha=\"0.18\", expect_size=\"18778112\"] \n  40 -> 44 [size =\"18778112\"]\n  41 [size=\"54337536\", alpha=\"0.09\", expect_size=\"27168768\"] \n  41 -> 43 [size =\"27168768\"]\n  41 -> 44 [size =\"27168768\"]\n  42 [size=\"95096832\", alpha=\"0.03\", expect_size=\"47548416\"] \n  42 -> 43 [size =\"47548416\"]\n  42 -> 44 [size =\"47548416\"]\n  43 [size=\"74328064\", alpha=\"0.16\", expect_size=\"37164032\"] \n  43 -> 45 [size =\"37164032\"]\n  43 -> 46 [size =\"37164032\"]\n  43 -> 47 [size =\"37164032\"]\n  43 -> 48 [size =\"37164032\"]\n  44 [size=\"52770816\", alpha=\"0.17\", expect_size=\"26385408\"] \n  44 -> 45 [size =\"26385408\"]\n  44 -> 46 [size =\"26385408\"]\n  44 -> 48 [size =\"26385408\"]\n  45 [size=\"16889856\", alpha=\"0.14\", expect_size=\"8444928\"] \n  45 -> 50 [size =\"8444928\"]\n  46 [size=\"58243072\", alpha=\"0.17\", expect_size=\"29121536\"] \n  46 -> 50 [size =\"29121536\"]\n  47 [size=\"99651584\", alpha=\"0.03\", expect_size=\"49825792\"] \n  47 -> 49 [size =\"49825792\"]\n  47 -> 50 [size =\"49825792\"]\n  48 [size=\"49336320\", alpha=\"0.16\", expect_size=\"24668160\"] \n  48 -> 49 [size =\"24668160\"]\n  49 [size=\"93184000\", alpha=\"0.11\", expect_size=\"46592000\"] \n  50 [size=\"67944448\", alpha=\"0.01\", expect_size=\"33972224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.285.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38000640\", alpha=\"0.05\", expect_size=\"19000320\"] \n  1 -> 35 [size =\"19000320\"]\n  1 -> 37 [size =\"19000320\"]\n  1 -> 38 [size =\"19000320\"]\n  1 -> 42 [size =\"19000320\"]\n  1 -> 43 [size =\"19000320\"]\n  1 -> 44 [size =\"19000320\"]\n  1 -> 48 [size =\"19000320\"]\n  2 [size=\"21872640\", alpha=\"0.10\", expect_size=\"10936320\"] \n  2 -> 38 [size =\"10936320\"]\n  2 -> 42 [size =\"10936320\"]\n  2 -> 44 [size =\"10936320\"]\n  2 -> 46 [size =\"10936320\"]\n  2 -> 48 [size =\"10936320\"]\n  3 [size=\"41863168\", alpha=\"0.01\", expect_size=\"20931584\"] \n  3 -> 32 [size =\"20931584\"]\n  3 -> 43 [size =\"20931584\"]\n  3 -> 44 [size =\"20931584\"]\n  3 -> 46 [size =\"20931584\"]\n  3 -> 48 [size =\"20931584\"]\n  3 -> 50 [size =\"20931584\"]\n  4 [size=\"74827776\", alpha=\"0.11\", expect_size=\"37413888\"] \n  4 -> 31 [size =\"37413888\"]\n  4 -> 32 [size =\"37413888\"]\n  4 -> 40 [size =\"37413888\"]\n  4 -> 42 [size =\"37413888\"]\n  4 -> 43 [size =\"37413888\"]\n  4 -> 44 [size =\"37413888\"]\n  4 -> 48 [size =\"37413888\"]\n  5 [size=\"27166720\", alpha=\"0.04\", expect_size=\"13583360\"] \n  5 -> 31 [size =\"13583360\"]\n  5 -> 38 [size =\"13583360\"]\n  5 -> 40 [size =\"13583360\"]\n  5 -> 42 [size =\"13583360\"]\n  5 -> 43 [size =\"13583360\"]\n  5 -> 44 [size =\"13583360\"]\n  5 -> 45 [size =\"13583360\"]\n  5 -> 46 [size =\"13583360\"]\n  5 -> 50 [size =\"13583360\"]\n  6 [size=\"41201664\", alpha=\"0.02\", expect_size=\"20600832\"] \n  6 -> 31 [size =\"20600832\"]\n  6 -> 36 [size =\"20600832\"]\n  6 -> 37 [size =\"20600832\"]\n  6 -> 43 [size =\"20600832\"]\n  6 -> 43 [size =\"20600832\"]\n  6 -> 45 [size =\"20600832\"]\n  6 -> 45 [size =\"20600832\"]\n  7 [size=\"18577408\", alpha=\"0.11\", expect_size=\"9288704\"] \n  7 -> 31 [size =\"9288704\"]\n  7 -> 37 [size =\"9288704\"]\n  7 -> 40 [size =\"9288704\"]\n  7 -> 43 [size =\"9288704\"]\n  7 -> 44 [size =\"9288704\"]\n  7 -> 45 [size =\"9288704\"]\n  7 -> 48 [size =\"9288704\"]\n  8 [size=\"33126400\", alpha=\"0.10\", expect_size=\"16563200\"] \n  8 -> 32 [size =\"16563200\"]\n  8 -> 37 [size =\"16563200\"]\n  8 -> 43 [size =\"16563200\"]\n  8 -> 44 [size =\"16563200\"]\n  8 -> 45 [size =\"16563200\"]\n  8 -> 46 [size =\"16563200\"]\n  8 -> 48 [size =\"16563200\"]\n  9 [size=\"55941120\", alpha=\"0.08\", expect_size=\"27970560\"] \n  9 -> 36 [size =\"27970560\"]\n  9 -> 44 [size =\"27970560\"]\n  9 -> 48 [size =\"27970560\"]\n  9 -> 50 [size =\"27970560\"]\n  10 [size=\"35823616\", alpha=\"0.11\", expect_size=\"17911808\"] \n  10 -> 31 [size =\"17911808\"]\n  10 -> 38 [size =\"17911808\"]\n  10 -> 43 [size =\"17911808\"]\n  10 -> 45 [size =\"17911808\"]\n  10 -> 46 [size =\"17911808\"]\n  10 -> 47 [size =\"17911808\"]\n  10 -> 48 [size =\"17911808\"]\n  10 -> 49 [size =\"17911808\"]\n  10 -> 50 [size =\"17911808\"]\n  11 [size=\"14925824\", alpha=\"0.05\", expect_size=\"7462912\"] \n  11 -> 37 [size =\"7462912\"]\n  11 -> 38 [size =\"7462912\"]\n  11 -> 45 [size =\"7462912\"]\n  11 -> 47 [size =\"7462912\"]\n  11 -> 50 [size =\"7462912\"]\n  12 [size=\"38625280\", alpha=\"0.03\", expect_size=\"19312640\"] \n  12 -> 39 [size =\"19312640\"]\n  12 -> 40 [size =\"19312640\"]\n  12 -> 42 [size =\"19312640\"]\n  12 -> 45 [size =\"19312640\"]\n  12 -> 48 [size =\"19312640\"]\n  13 [size=\"83591168\", alpha=\"0.18\", expect_size=\"41795584\"] \n  13 -> 31 [size =\"41795584\"]\n  13 -> 38 [size =\"41795584\"]\n  13 -> 39 [size =\"41795584\"]\n  13 -> 42 [size =\"41795584\"]\n  13 -> 43 [size =\"41795584\"]\n  13 -> 46 [size =\"41795584\"]\n  13 -> 48 [size =\"41795584\"]\n  13 -> 49 [size =\"41795584\"]\n  14 [size=\"88799232\", alpha=\"0.11\", expect_size=\"44399616\"] \n  14 -> 31 [size =\"44399616\"]\n  14 -> 32 [size =\"44399616\"]\n  14 -> 36 [size =\"44399616\"]\n  14 -> 38 [size =\"44399616\"]\n  14 -> 42 [size =\"44399616\"]\n  14 -> 45 [size =\"44399616\"]\n  14 -> 46 [size =\"44399616\"]\n  15 [size=\"48279552\", alpha=\"0.17\", expect_size=\"24139776\"] \n  15 -> 31 [size =\"24139776\"]\n  15 -> 32 [size =\"24139776\"]\n  15 -> 34 [size =\"24139776\"]\n  15 -> 37 [size =\"24139776\"]\n  15 -> 38 [size =\"24139776\"]\n  15 -> 44 [size =\"24139776\"]\n  15 -> 45 [size =\"24139776\"]\n  15 -> 48 [size =\"24139776\"]\n  16 [size=\"67166208\", alpha=\"0.12\", expect_size=\"33583104\"] \n  16 -> 31 [size =\"33583104\"]\n  16 -> 38 [size =\"33583104\"]\n  16 -> 39 [size =\"33583104\"]\n  16 -> 45 [size =\"33583104\"]\n  16 -> 46 [size =\"33583104\"]\n  16 -> 47 [size =\"33583104\"]\n  17 [size=\"74385408\", alpha=\"0.09\", expect_size=\"37192704\"] \n  17 -> 31 [size =\"37192704\"]\n  17 -> 33 [size =\"37192704\"]\n  17 -> 35 [size =\"37192704\"]\n  17 -> 37 [size =\"37192704\"]\n  17 -> 38 [size =\"37192704\"]\n  17 -> 39 [size =\"37192704\"]\n  17 -> 43 [size =\"37192704\"]\n  17 -> 44 [size =\"37192704\"]\n  17 -> 45 [size =\"37192704\"]\n  17 -> 48 [size =\"37192704\"]\n  18 [size=\"34174976\", alpha=\"0.10\", expect_size=\"17087488\"] \n  18 -> 33 [size =\"17087488\"]\n  18 -> 37 [size =\"17087488\"]\n  18 -> 38 [size =\"17087488\"]\n  18 -> 42 [size =\"17087488\"]\n  18 -> 43 [size =\"17087488\"]\n  18 -> 44 [size =\"17087488\"]\n  18 -> 48 [size =\"17087488\"]\n  18 -> 50 [size =\"17087488\"]\n  19 [size=\"83034112\", alpha=\"0.01\", expect_size=\"41517056\"] \n  19 -> 37 [size =\"41517056\"]\n  19 -> 38 [size =\"41517056\"]\n  19 -> 42 [size =\"41517056\"]\n  19 -> 45 [size =\"41517056\"]\n  19 -> 50 [size =\"41517056\"]\n  20 [size=\"27385856\", alpha=\"0.05\", expect_size=\"13692928\"] \n  20 -> 31 [size =\"13692928\"]\n  20 -> 35 [size =\"13692928\"]\n  20 -> 37 [size =\"13692928\"]\n  20 -> 38 [size =\"13692928\"]\n  20 -> 48 [size =\"13692928\"]\n  21 [size=\"77473792\", alpha=\"0.14\", expect_size=\"38736896\"] \n  21 -> 31 [size =\"38736896\"]\n  21 -> 34 [size =\"38736896\"]\n  21 -> 35 [size =\"38736896\"]\n  21 -> 36 [size =\"38736896\"]\n  21 -> 37 [size =\"38736896\"]\n  21 -> 38 [size =\"38736896\"]\n  21 -> 40 [size =\"38736896\"]\n  21 -> 43 [size =\"38736896\"]\n  21 -> 44 [size =\"38736896\"]\n  21 -> 46 [size =\"38736896\"]\n  21 -> 47 [size =\"38736896\"]\n  21 -> 48 [size =\"38736896\"]\n  21 -> 50 [size =\"38736896\"]\n  22 [size=\"103254016\", alpha=\"0.05\", expect_size=\"51627008\"] \n  22 -> 31 [size =\"51627008\"]\n  22 -> 37 [size =\"51627008\"]\n  22 -> 38 [size =\"51627008\"]\n  22 -> 42 [size =\"51627008\"]\n  22 -> 44 [size =\"51627008\"]\n  22 -> 45 [size =\"51627008\"]\n  22 -> 46 [size =\"51627008\"]\n  22 -> 48 [size =\"51627008\"]\n  23 [size=\"21442560\", alpha=\"0.04\", expect_size=\"10721280\"] \n  23 -> 31 [size =\"10721280\"]\n  23 -> 32 [size =\"10721280\"]\n  23 -> 33 [size =\"10721280\"]\n  23 -> 36 [size =\"10721280\"]\n  23 -> 37 [size =\"10721280\"]\n  23 -> 40 [size =\"10721280\"]\n  23 -> 42 [size =\"10721280\"]\n  23 -> 44 [size =\"10721280\"]\n  23 -> 45 [size =\"10721280\"]\n  23 -> 46 [size =\"10721280\"]\n  23 -> 47 [size =\"10721280\"]\n  23 -> 48 [size =\"10721280\"]\n  23 -> 50 [size =\"10721280\"]\n  24 [size=\"12457984\", alpha=\"0.16\", expect_size=\"6228992\"] \n  24 -> 31 [size =\"6228992\"]\n  24 -> 32 [size =\"6228992\"]\n  24 -> 35 [size =\"6228992\"]\n  24 -> 38 [size =\"6228992\"]\n  24 -> 43 [size =\"6228992\"]\n  24 -> 44 [size =\"6228992\"]\n  24 -> 46 [size =\"6228992\"]\n  24 -> 48 [size =\"6228992\"]\n  24 -> 50 [size =\"6228992\"]\n  25 [size=\"66424832\", alpha=\"0.11\", expect_size=\"33212416\"] \n  25 -> 31 [size =\"33212416\"]\n  25 -> 32 [size =\"33212416\"]\n  25 -> 38 [size =\"33212416\"]\n  25 -> 41 [size =\"33212416\"]\n  25 -> 43 [size =\"33212416\"]\n  25 -> 44 [size =\"33212416\"]\n  25 -> 46 [size =\"33212416\"]\n  25 -> 49 [size =\"33212416\"]\n  25 -> 50 [size =\"33212416\"]\n  26 [size=\"50423808\", alpha=\"0.13\", expect_size=\"25211904\"] \n  26 -> 31 [size =\"25211904\"]\n  26 -> 37 [size =\"25211904\"]\n  26 -> 38 [size =\"25211904\"]\n  26 -> 39 [size =\"25211904\"]\n  26 -> 41 [size =\"25211904\"]\n  26 -> 42 [size =\"25211904\"]\n  26 -> 43 [size =\"25211904\"]\n  26 -> 44 [size =\"25211904\"]\n  26 -> 46 [size =\"25211904\"]\n  26 -> 48 [size =\"25211904\"]\n  26 -> 50 [size =\"25211904\"]\n  27 [size=\"11460608\", alpha=\"0.17\", expect_size=\"5730304\"] \n  27 -> 36 [size =\"5730304\"]\n  27 -> 38 [size =\"5730304\"]\n  27 -> 42 [size =\"5730304\"]\n  27 -> 43 [size =\"5730304\"]\n  27 -> 44 [size =\"5730304\"]\n  27 -> 45 [size =\"5730304\"]\n  27 -> 46 [size =\"5730304\"]\n  27 -> 48 [size =\"5730304\"]\n  28 [size=\"52871168\", alpha=\"0.05\", expect_size=\"26435584\"] \n  28 -> 31 [size =\"26435584\"]\n  28 -> 32 [size =\"26435584\"]\n  28 -> 33 [size =\"26435584\"]\n  28 -> 37 [size =\"26435584\"]\n  28 -> 39 [size =\"26435584\"]\n  28 -> 42 [size =\"26435584\"]\n  28 -> 43 [size =\"26435584\"]\n  28 -> 44 [size =\"26435584\"]\n  28 -> 45 [size =\"26435584\"]\n  28 -> 46 [size =\"26435584\"]\n  28 -> 48 [size =\"26435584\"]\n  29 [size=\"100354048\", alpha=\"0.04\", expect_size=\"50177024\"] \n  29 -> 31 [size =\"50177024\"]\n  29 -> 36 [size =\"50177024\"]\n  29 -> 37 [size =\"50177024\"]\n  29 -> 38 [size =\"50177024\"]\n  29 -> 39 [size =\"50177024\"]\n  29 -> 42 [size =\"50177024\"]\n  29 -> 43 [size =\"50177024\"]\n  29 -> 44 [size =\"50177024\"]\n  29 -> 45 [size =\"50177024\"]\n  29 -> 46 [size =\"50177024\"]\n  29 -> 47 [size =\"50177024\"]\n  30 [size=\"11388928\", alpha=\"0.07\", expect_size=\"5694464\"] \n  30 -> 31 [size =\"5694464\"]\n  30 -> 37 [size =\"5694464\"]\n  30 -> 38 [size =\"5694464\"]\n  30 -> 42 [size =\"5694464\"]\n  30 -> 43 [size =\"5694464\"]\n  30 -> 44 [size =\"5694464\"]\n  30 -> 45 [size =\"5694464\"]\n  30 -> 46 [size =\"5694464\"]\n  30 -> 47 [size =\"5694464\"]\n  30 -> 50 [size =\"5694464\"]\n  31 [size=\"32942080\", alpha=\"0.12\", expect_size=\"16471040\"] \n  32 [size=\"98158592\", alpha=\"0.02\", expect_size=\"49079296\"] \n  33 [size=\"29683712\", alpha=\"0.08\", expect_size=\"14841856\"] \n  34 [size=\"47640576\", alpha=\"0.10\", expect_size=\"23820288\"] \n  35 [size=\"27623424\", alpha=\"0.01\", expect_size=\"13811712\"] \n  36 [size=\"80689152\", alpha=\"0.03\", expect_size=\"40344576\"] \n  37 [size=\"48812032\", alpha=\"0.20\", expect_size=\"24406016\"] \n  38 [size=\"34455552\", alpha=\"0.01\", expect_size=\"17227776\"] \n  39 [size=\"60260352\", alpha=\"0.17\", expect_size=\"30130176\"] \n  40 [size=\"77312000\", alpha=\"0.17\", expect_size=\"38656000\"] \n  41 [size=\"16576512\", alpha=\"0.11\", expect_size=\"8288256\"] \n  42 [size=\"71239680\", alpha=\"0.05\", expect_size=\"35619840\"] \n  43 [size=\"80697344\", alpha=\"0.02\", expect_size=\"40348672\"] \n  44 [size=\"23685120\", alpha=\"0.18\", expect_size=\"11842560\"] \n  45 [size=\"72886272\", alpha=\"0.07\", expect_size=\"36443136\"] \n  46 [size=\"77355008\", alpha=\"0.04\", expect_size=\"38677504\"] \n  47 [size=\"93771776\", alpha=\"0.01\", expect_size=\"46885888\"] \n  48 [size=\"91666432\", alpha=\"0.07\", expect_size=\"45833216\"] \n  49 [size=\"94728192\", alpha=\"0.12\", expect_size=\"47364096\"] \n  50 [size=\"81135616\", alpha=\"0.18\", expect_size=\"40567808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.286.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52297728\", alpha=\"0.12\", expect_size=\"26148864\"] \n  2 [size=\"11001856\", alpha=\"0.14\", expect_size=\"5500928\"] \n  2 -> 8 [size =\"5500928\"]\n  2 -> 9 [size =\"5500928\"]\n  2 -> 10 [size =\"5500928\"]\n  2 -> 12 [size =\"5500928\"]\n  2 -> 13 [size =\"5500928\"]\n  3 [size=\"72798208\", alpha=\"0.11\", expect_size=\"36399104\"] \n  3 -> 10 [size =\"36399104\"]\n  3 -> 12 [size =\"36399104\"]\n  4 [size=\"43972608\", alpha=\"0.18\", expect_size=\"21986304\"] \n  4 -> 11 [size =\"21986304\"]\n  4 -> 12 [size =\"21986304\"]\n  5 [size=\"79562752\", alpha=\"0.20\", expect_size=\"39781376\"] \n  5 -> 11 [size =\"39781376\"]\n  6 [size=\"56207360\", alpha=\"0.10\", expect_size=\"28103680\"] \n  6 -> 10 [size =\"28103680\"]\n  6 -> 11 [size =\"28103680\"]\n  7 [size=\"95844352\", alpha=\"0.02\", expect_size=\"47922176\"] \n  7 -> 11 [size =\"47922176\"]\n  8 [size=\"95477760\", alpha=\"0.19\", expect_size=\"47738880\"] \n  8 -> 17 [size =\"47738880\"]\n  9 [size=\"11114496\", alpha=\"0.06\", expect_size=\"5557248\"] \n  9 -> 14 [size =\"5557248\"]\n  9 -> 17 [size =\"5557248\"]\n  9 -> 19 [size =\"5557248\"]\n  10 [size=\"22499328\", alpha=\"0.08\", expect_size=\"11249664\"] \n  10 -> 18 [size =\"11249664\"]\n  10 -> 19 [size =\"11249664\"]\n  10 -> 20 [size =\"11249664\"]\n  11 [size=\"28930048\", alpha=\"0.07\", expect_size=\"14465024\"] \n  11 -> 15 [size =\"14465024\"]\n  11 -> 18 [size =\"14465024\"]\n  12 [size=\"83273728\", alpha=\"0.16\", expect_size=\"41636864\"] \n  12 -> 15 [size =\"41636864\"]\n  12 -> 17 [size =\"41636864\"]\n  12 -> 18 [size =\"41636864\"]\n  12 -> 20 [size =\"41636864\"]\n  13 [size=\"52690944\", alpha=\"0.19\", expect_size=\"26345472\"] \n  13 -> 15 [size =\"26345472\"]\n  13 -> 16 [size =\"26345472\"]\n  14 [size=\"11649024\", alpha=\"0.12\", expect_size=\"5824512\"] \n  14 -> 22 [size =\"5824512\"]\n  14 -> 26 [size =\"5824512\"]\n  15 [size=\"96753664\", alpha=\"0.01\", expect_size=\"48376832\"] \n  15 -> 21 [size =\"48376832\"]\n  15 -> 22 [size =\"48376832\"]\n  15 -> 25 [size =\"48376832\"]\n  16 [size=\"94949376\", alpha=\"0.02\", expect_size=\"47474688\"] \n  16 -> 21 [size =\"47474688\"]\n  16 -> 22 [size =\"47474688\"]\n  16 -> 24 [size =\"47474688\"]\n  17 [size=\"45615104\", alpha=\"0.10\", expect_size=\"22807552\"] \n  17 -> 22 [size =\"22807552\"]\n  18 [size=\"54636544\", alpha=\"0.18\", expect_size=\"27318272\"] \n  18 -> 21 [size =\"27318272\"]\n  19 [size=\"48189440\", alpha=\"0.04\", expect_size=\"24094720\"] \n  19 -> 26 [size =\"24094720\"]\n  20 [size=\"77719552\", alpha=\"0.11\", expect_size=\"38859776\"] \n  20 -> 21 [size =\"38859776\"]\n  20 -> 23 [size =\"38859776\"]\n  20 -> 26 [size =\"38859776\"]\n  21 [size=\"20439040\", alpha=\"0.07\", expect_size=\"10219520\"] \n  22 [size=\"51742720\", alpha=\"0.03\", expect_size=\"25871360\"] \n  22 -> 27 [size =\"25871360\"]\n  22 -> 30 [size =\"25871360\"]\n  23 [size=\"32724992\", alpha=\"0.13\", expect_size=\"16362496\"] \n  23 -> 30 [size =\"16362496\"]\n  23 -> 32 [size =\"16362496\"]\n  24 [size=\"30160896\", alpha=\"0.09\", expect_size=\"15080448\"] \n  24 -> 28 [size =\"15080448\"]\n  24 -> 29 [size =\"15080448\"]\n  24 -> 30 [size =\"15080448\"]\n  24 -> 31 [size =\"15080448\"]\n  24 -> 32 [size =\"15080448\"]\n  25 [size=\"87896064\", alpha=\"0.20\", expect_size=\"43948032\"] \n  25 -> 31 [size =\"43948032\"]\n  26 [size=\"94228480\", alpha=\"0.01\", expect_size=\"47114240\"] \n  26 -> 28 [size =\"47114240\"]\n  27 [size=\"102256640\", alpha=\"0.19\", expect_size=\"51128320\"] \n  27 -> 33 [size =\"51128320\"]\n  28 [size=\"57331712\", alpha=\"0.16\", expect_size=\"28665856\"] \n  28 -> 33 [size =\"28665856\"]\n  28 -> 34 [size =\"28665856\"]\n  28 -> 35 [size =\"28665856\"]\n  29 [size=\"49788928\", alpha=\"0.13\", expect_size=\"24894464\"] \n  29 -> 33 [size =\"24894464\"]\n  29 -> 38 [size =\"24894464\"]\n  30 [size=\"69826560\", alpha=\"0.13\", expect_size=\"34913280\"] \n  30 -> 36 [size =\"34913280\"]\n  30 -> 38 [size =\"34913280\"]\n  31 [size=\"28899328\", alpha=\"0.16\", expect_size=\"14449664\"] \n  31 -> 36 [size =\"14449664\"]\n  31 -> 37 [size =\"14449664\"]\n  31 -> 38 [size =\"14449664\"]\n  32 [size=\"63188992\", alpha=\"0.15\", expect_size=\"31594496\"] \n  32 -> 35 [size =\"31594496\"]\n  32 -> 36 [size =\"31594496\"]\n  32 -> 37 [size =\"31594496\"]\n  33 [size=\"78843904\", alpha=\"0.02\", expect_size=\"39421952\"] \n  33 -> 39 [size =\"39421952\"]\n  33 -> 43 [size =\"39421952\"]\n  33 -> 44 [size =\"39421952\"]\n  34 [size=\"43802624\", alpha=\"0.10\", expect_size=\"21901312\"] \n  35 [size=\"85927936\", alpha=\"0.17\", expect_size=\"42963968\"] \n  35 -> 43 [size =\"42963968\"]\n  36 [size=\"85553152\", alpha=\"0.01\", expect_size=\"42776576\"] \n  37 [size=\"88397824\", alpha=\"0.13\", expect_size=\"44198912\"] \n  37 -> 41 [size =\"44198912\"]\n  37 -> 42 [size =\"44198912\"]\n  37 -> 43 [size =\"44198912\"]\n  38 [size=\"85452800\", alpha=\"0.13\", expect_size=\"42726400\"] \n  38 -> 40 [size =\"42726400\"]\n  38 -> 42 [size =\"42726400\"]\n  39 [size=\"67338240\", alpha=\"0.02\", expect_size=\"33669120\"] \n  39 -> 45 [size =\"33669120\"]\n  39 -> 46 [size =\"33669120\"]\n  40 [size=\"34682880\", alpha=\"0.06\", expect_size=\"17341440\"] \n  40 -> 47 [size =\"17341440\"]\n  40 -> 48 [size =\"17341440\"]\n  41 [size=\"93874176\", alpha=\"0.11\", expect_size=\"46937088\"] \n  41 -> 45 [size =\"46937088\"]\n  41 -> 48 [size =\"46937088\"]\n  41 -> 49 [size =\"46937088\"]\n  41 -> 50 [size =\"46937088\"]\n  42 [size=\"74610688\", alpha=\"0.05\", expect_size=\"37305344\"] \n  42 -> 48 [size =\"37305344\"]\n  42 -> 50 [size =\"37305344\"]\n  43 [size=\"49682432\", alpha=\"0.04\", expect_size=\"24841216\"] \n  43 -> 47 [size =\"24841216\"]\n  44 [size=\"61296640\", alpha=\"0.07\", expect_size=\"30648320\"] \n  44 -> 47 [size =\"30648320\"]\n  45 [size=\"16242688\", alpha=\"0.06\", expect_size=\"8121344\"] \n  46 [size=\"95164416\", alpha=\"0.03\", expect_size=\"47582208\"] \n  47 [size=\"99407872\", alpha=\"0.20\", expect_size=\"49703936\"] \n  48 [size=\"64104448\", alpha=\"0.06\", expect_size=\"32052224\"] \n  49 [size=\"33406976\", alpha=\"0.01\", expect_size=\"16703488\"] \n  50 [size=\"45019136\", alpha=\"0.08\", expect_size=\"22509568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.287.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76183552\", alpha=\"0.16\", expect_size=\"38091776\"] \n  1 -> 2 [size =\"38091776\"]\n  2 [size=\"66527232\", alpha=\"0.16\", expect_size=\"33263616\"] \n  2 -> 3 [size =\"33263616\"]\n  3 [size=\"61734912\", alpha=\"0.03\", expect_size=\"30867456\"] \n  3 -> 4 [size =\"30867456\"]\n  4 [size=\"89729024\", alpha=\"0.16\", expect_size=\"44864512\"] \n  4 -> 5 [size =\"44864512\"]\n  5 [size=\"28633088\", alpha=\"0.09\", expect_size=\"14316544\"] \n  5 -> 6 [size =\"14316544\"]\n  6 [size=\"64290816\", alpha=\"0.12\", expect_size=\"32145408\"] \n  6 -> 7 [size =\"32145408\"]\n  7 [size=\"81711104\", alpha=\"0.16\", expect_size=\"40855552\"] \n  7 -> 8 [size =\"40855552\"]\n  8 [size=\"15476736\", alpha=\"0.18\", expect_size=\"7738368\"] \n  8 -> 9 [size =\"7738368\"]\n  9 [size=\"69677056\", alpha=\"0.12\", expect_size=\"34838528\"] \n  9 -> 10 [size =\"34838528\"]\n  10 [size=\"86296576\", alpha=\"0.04\", expect_size=\"43148288\"] \n  10 -> 11 [size =\"43148288\"]\n  11 [size=\"11884544\", alpha=\"0.14\", expect_size=\"5942272\"] \n  11 -> 12 [size =\"5942272\"]\n  12 [size=\"86196224\", alpha=\"0.18\", expect_size=\"43098112\"] \n  12 -> 13 [size =\"43098112\"]\n  13 [size=\"65370112\", alpha=\"0.10\", expect_size=\"32685056\"] \n  13 -> 14 [size =\"32685056\"]\n  14 [size=\"77350912\", alpha=\"0.02\", expect_size=\"38675456\"] \n  14 -> 15 [size =\"38675456\"]\n  15 [size=\"56256512\", alpha=\"0.15\", expect_size=\"28128256\"] \n  15 -> 16 [size =\"28128256\"]\n  16 [size=\"96993280\", alpha=\"0.06\", expect_size=\"48496640\"] \n  16 -> 17 [size =\"48496640\"]\n  17 [size=\"58798080\", alpha=\"0.11\", expect_size=\"29399040\"] \n  17 -> 18 [size =\"29399040\"]\n  18 [size=\"41707520\", alpha=\"0.20\", expect_size=\"20853760\"] \n  18 -> 19 [size =\"20853760\"]\n  19 [size=\"30281728\", alpha=\"0.19\", expect_size=\"15140864\"] \n  19 -> 20 [size =\"15140864\"]\n  20 [size=\"86046720\", alpha=\"0.08\", expect_size=\"43023360\"] \n  20 -> 21 [size =\"43023360\"]\n  21 [size=\"104564736\", alpha=\"0.11\", expect_size=\"52282368\"] \n  21 -> 22 [size =\"52282368\"]\n  22 [size=\"75315200\", alpha=\"0.06\", expect_size=\"37657600\"] \n  22 -> 23 [size =\"37657600\"]\n  23 [size=\"68188160\", alpha=\"0.12\", expect_size=\"34094080\"] \n  23 -> 24 [size =\"34094080\"]\n  24 [size=\"20940800\", alpha=\"0.14\", expect_size=\"10470400\"] \n  24 -> 25 [size =\"10470400\"]\n  25 [size=\"32432128\", alpha=\"0.00\", expect_size=\"16216064\"] \n  25 -> 26 [size =\"16216064\"]\n  26 [size=\"101074944\", alpha=\"0.18\", expect_size=\"50537472\"] \n  26 -> 27 [size =\"50537472\"]\n  27 [size=\"35848192\", alpha=\"0.10\", expect_size=\"17924096\"] \n  27 -> 28 [size =\"17924096\"]\n  28 [size=\"85774336\", alpha=\"0.04\", expect_size=\"42887168\"] \n  28 -> 29 [size =\"42887168\"]\n  29 [size=\"84674560\", alpha=\"0.11\", expect_size=\"42337280\"] \n  29 -> 30 [size =\"42337280\"]\n  30 [size=\"82114560\", alpha=\"0.13\", expect_size=\"41057280\"] \n  30 -> 31 [size =\"41057280\"]\n  31 [size=\"27258880\", alpha=\"0.16\", expect_size=\"13629440\"] \n  31 -> 32 [size =\"13629440\"]\n  32 [size=\"80175104\", alpha=\"0.14\", expect_size=\"40087552\"] \n  32 -> 33 [size =\"40087552\"]\n  33 [size=\"13795328\", alpha=\"0.05\", expect_size=\"6897664\"] \n  33 -> 34 [size =\"6897664\"]\n  34 [size=\"68112384\", alpha=\"0.09\", expect_size=\"34056192\"] \n  34 -> 35 [size =\"34056192\"]\n  35 [size=\"39254016\", alpha=\"0.03\", expect_size=\"19627008\"] \n  35 -> 36 [size =\"19627008\"]\n  36 [size=\"39739392\", alpha=\"0.16\", expect_size=\"19869696\"] \n  36 -> 37 [size =\"19869696\"]\n  37 [size=\"29005824\", alpha=\"0.19\", expect_size=\"14502912\"] \n  37 -> 38 [size =\"14502912\"]\n  38 [size=\"78276608\", alpha=\"0.08\", expect_size=\"39138304\"] \n  38 -> 39 [size =\"39138304\"]\n  39 [size=\"98172928\", alpha=\"0.02\", expect_size=\"49086464\"] \n  39 -> 40 [size =\"49086464\"]\n  40 [size=\"53516288\", alpha=\"0.11\", expect_size=\"26758144\"] \n  40 -> 41 [size =\"26758144\"]\n  41 [size=\"20117504\", alpha=\"0.01\", expect_size=\"10058752\"] \n  41 -> 42 [size =\"10058752\"]\n  42 [size=\"93749248\", alpha=\"0.04\", expect_size=\"46874624\"] \n  42 -> 43 [size =\"46874624\"]\n  43 [size=\"67006464\", alpha=\"0.20\", expect_size=\"33503232\"] \n  43 -> 44 [size =\"33503232\"]\n  44 [size=\"89143296\", alpha=\"0.18\", expect_size=\"44571648\"] \n  44 -> 45 [size =\"44571648\"]\n  45 [size=\"38287360\", alpha=\"0.00\", expect_size=\"19143680\"] \n  45 -> 46 [size =\"19143680\"]\n  46 [size=\"54577152\", alpha=\"0.02\", expect_size=\"27288576\"] \n  46 -> 47 [size =\"27288576\"]\n  47 [size=\"35780608\", alpha=\"0.09\", expect_size=\"17890304\"] \n  47 -> 48 [size =\"17890304\"]\n  48 [size=\"30205952\", alpha=\"0.12\", expect_size=\"15102976\"] \n  48 -> 49 [size =\"15102976\"]\n  49 [size=\"69079040\", alpha=\"0.10\", expect_size=\"34539520\"] \n  49 -> 50 [size =\"34539520\"]\n  50 [size=\"77824000\", alpha=\"0.04\", expect_size=\"38912000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.288.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57231360\", alpha=\"0.06\", expect_size=\"17169408\"] \n  1 -> 6 [size =\"17169408\"]\n  1 -> 11 [size =\"17169408\"]\n  1 -> 13 [size =\"17169408\"]\n  2 [size=\"114841600\", alpha=\"0.12\", expect_size=\"34452480\"] \n  2 -> 8 [size =\"34452480\"]\n  2 -> 11 [size =\"34452480\"]\n  3 [size=\"78708053\", alpha=\"0.10\", expect_size=\"23612416\"] \n  3 -> 7 [size =\"23612416\"]\n  3 -> 10 [size =\"23612416\"]\n  3 -> 12 [size =\"23612416\"]\n  3 -> 13 [size =\"23612416\"]\n  4 [size=\"143141547\", alpha=\"0.18\", expect_size=\"42942464\"] \n  4 -> 8 [size =\"42942464\"]\n  4 -> 9 [size =\"42942464\"]\n  4 -> 12 [size =\"42942464\"]\n  5 [size=\"105239893\", alpha=\"0.04\", expect_size=\"31571968\"] \n  5 -> 7 [size =\"31571968\"]\n  5 -> 10 [size =\"31571968\"]\n  5 -> 11 [size =\"31571968\"]\n  5 -> 12 [size =\"31571968\"]\n  6 [size=\"143725227\", alpha=\"0.19\", expect_size=\"43117568\"] \n  6 -> 14 [size =\"43117568\"]\n  6 -> 16 [size =\"43117568\"]\n  7 [size=\"81493333\", alpha=\"0.15\", expect_size=\"24448000\"] \n  7 -> 17 [size =\"24448000\"]\n  7 -> 18 [size =\"24448000\"]\n  7 -> 19 [size =\"24448000\"]\n  8 [size=\"171717973\", alpha=\"0.08\", expect_size=\"51515392\"] \n  8 -> 16 [size =\"51515392\"]\n  8 -> 19 [size =\"51515392\"]\n  9 [size=\"57275733\", alpha=\"0.20\", expect_size=\"17182720\"] \n  10 [size=\"83234133\", alpha=\"0.19\", expect_size=\"24970240\"] \n  10 -> 16 [size =\"24970240\"]\n  11 [size=\"166328320\", alpha=\"0.02\", expect_size=\"49898496\"] \n  11 -> 15 [size =\"49898496\"]\n  11 -> 16 [size =\"49898496\"]\n  11 -> 18 [size =\"49898496\"]\n  12 [size=\"53449387\", alpha=\"0.05\", expect_size=\"16034816\"] \n  12 -> 15 [size =\"16034816\"]\n  13 [size=\"144377173\", alpha=\"0.18\", expect_size=\"43313152\"] \n  13 -> 15 [size =\"43313152\"]\n  13 -> 20 [size =\"43313152\"]\n  14 [size=\"68928853\", alpha=\"0.17\", expect_size=\"20678656\"] \n  14 -> 21 [size =\"20678656\"]\n  14 -> 22 [size =\"20678656\"]\n  15 [size=\"56507733\", alpha=\"0.17\", expect_size=\"16952320\"] \n  15 -> 23 [size =\"16952320\"]\n  16 [size=\"85377707\", alpha=\"0.07\", expect_size=\"25613312\"] \n  16 -> 22 [size =\"25613312\"]\n  16 -> 23 [size =\"25613312\"]\n  17 [size=\"77537280\", alpha=\"0.12\", expect_size=\"23261184\"] \n  17 -> 24 [size =\"23261184\"]\n  18 [size=\"36266667\", alpha=\"0.16\", expect_size=\"10880000\"] \n  18 -> 21 [size =\"10880000\"]\n  18 -> 22 [size =\"10880000\"]\n  19 [size=\"96102400\", alpha=\"0.14\", expect_size=\"28830720\"] \n  19 -> 21 [size =\"28830720\"]\n  19 -> 24 [size =\"28830720\"]\n  20 [size=\"94713173\", alpha=\"0.10\", expect_size=\"28413952\"] \n  20 -> 22 [size =\"28413952\"]\n  21 [size=\"85432320\", alpha=\"0.11\", expect_size=\"25629696\"] \n  21 -> 26 [size =\"25629696\"]\n  21 -> 33 [size =\"25629696\"]\n  22 [size=\"103017813\", alpha=\"0.05\", expect_size=\"30905344\"] \n  22 -> 25 [size =\"30905344\"]\n  22 -> 27 [size =\"30905344\"]\n  22 -> 28 [size =\"30905344\"]\n  22 -> 29 [size =\"30905344\"]\n  23 [size=\"145759573\", alpha=\"0.06\", expect_size=\"43727872\"] \n  23 -> 25 [size =\"43727872\"]\n  23 -> 29 [size =\"43727872\"]\n  23 -> 31 [size =\"43727872\"]\n  24 [size=\"131075413\", alpha=\"0.03\", expect_size=\"39322624\"] \n  24 -> 30 [size =\"39322624\"]\n  24 -> 32 [size =\"39322624\"]\n  25 [size=\"104069120\", alpha=\"0.11\", expect_size=\"31220736\"] \n  25 -> 34 [size =\"31220736\"]\n  25 -> 40 [size =\"31220736\"]\n  26 [size=\"82240853\", alpha=\"0.16\", expect_size=\"24672256\"] \n  26 -> 40 [size =\"24672256\"]\n  26 -> 42 [size =\"24672256\"]\n  27 [size=\"136318293\", alpha=\"0.08\", expect_size=\"40895488\"] \n  27 -> 41 [size =\"40895488\"]\n  27 -> 43 [size =\"40895488\"]\n  28 [size=\"73943040\", alpha=\"0.00\", expect_size=\"22182912\"] \n  28 -> 39 [size =\"22182912\"]\n  28 -> 40 [size =\"22182912\"]\n  28 -> 42 [size =\"22182912\"]\n  29 [size=\"39072427\", alpha=\"0.17\", expect_size=\"11721728\"] \n  29 -> 41 [size =\"11721728\"]\n  30 [size=\"151504213\", alpha=\"0.03\", expect_size=\"45451264\"] \n  30 -> 37 [size =\"45451264\"]\n  30 -> 38 [size =\"45451264\"]\n  30 -> 41 [size =\"45451264\"]\n  31 [size=\"74745173\", alpha=\"0.07\", expect_size=\"22423552\"] \n  31 -> 35 [size =\"22423552\"]\n  31 -> 36 [size =\"22423552\"]\n  31 -> 39 [size =\"22423552\"]\n  31 -> 43 [size =\"22423552\"]\n  32 [size=\"163123200\", alpha=\"0.16\", expect_size=\"48936960\"] \n  32 -> 34 [size =\"48936960\"]\n  32 -> 35 [size =\"48936960\"]\n  32 -> 42 [size =\"48936960\"]\n  33 [size=\"42147840\", alpha=\"0.02\", expect_size=\"12644352\"] \n  33 -> 34 [size =\"12644352\"]\n  33 -> 43 [size =\"12644352\"]\n  34 [size=\"87623680\", alpha=\"0.13\", expect_size=\"26287104\"] \n  34 -> 44 [size =\"26287104\"]\n  34 -> 45 [size =\"26287104\"]\n  34 -> 49 [size =\"26287104\"]\n  35 [size=\"110646613\", alpha=\"0.10\", expect_size=\"33193984\"] \n  35 -> 45 [size =\"33193984\"]\n  36 [size=\"41693867\", alpha=\"0.15\", expect_size=\"12508160\"] \n  36 -> 48 [size =\"12508160\"]\n  36 -> 49 [size =\"12508160\"]\n  37 [size=\"164304213\", alpha=\"0.08\", expect_size=\"49291264\"] \n  37 -> 48 [size =\"49291264\"]\n  38 [size=\"70638933\", alpha=\"0.04\", expect_size=\"21191680\"] \n  38 -> 46 [size =\"21191680\"]\n  38 -> 48 [size =\"21191680\"]\n  39 [size=\"72222720\", alpha=\"0.09\", expect_size=\"21666816\"] \n  39 -> 48 [size =\"21666816\"]\n  40 [size=\"51568640\", alpha=\"0.04\", expect_size=\"15470592\"] \n  40 -> 47 [size =\"15470592\"]\n  40 -> 49 [size =\"15470592\"]\n  41 [size=\"74441387\", alpha=\"0.08\", expect_size=\"22332416\"] \n  41 -> 45 [size =\"22332416\"]\n  41 -> 46 [size =\"22332416\"]\n  41 -> 47 [size =\"22332416\"]\n  41 -> 49 [size =\"22332416\"]\n  41 -> 50 [size =\"22332416\"]\n  42 [size=\"132406613\", alpha=\"0.03\", expect_size=\"39721984\"] \n  42 -> 47 [size =\"39721984\"]\n  42 -> 50 [size =\"39721984\"]\n  43 [size=\"104154453\", alpha=\"0.14\", expect_size=\"31246336\"] \n  43 -> 44 [size =\"31246336\"]\n  43 -> 45 [size =\"31246336\"]\n  43 -> 47 [size =\"31246336\"]\n  43 -> 49 [size =\"31246336\"]\n  44 [size=\"116585813\", alpha=\"0.19\", expect_size=\"34975744\"] \n  45 [size=\"63873707\", alpha=\"0.15\", expect_size=\"19162112\"] \n  46 [size=\"142329173\", alpha=\"0.00\", expect_size=\"42698752\"] \n  47 [size=\"105284267\", alpha=\"0.20\", expect_size=\"31585280\"] \n  48 [size=\"170093227\", alpha=\"0.07\", expect_size=\"51027968\"] \n  49 [size=\"40966827\", alpha=\"0.17\", expect_size=\"12290048\"] \n  50 [size=\"111107413\", alpha=\"0.03\", expect_size=\"33332224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.289.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77938688\", alpha=\"0.15\", expect_size=\"38969344\"] \n  1 -> 33 [size =\"38969344\"]\n  1 -> 35 [size =\"38969344\"]\n  1 -> 38 [size =\"38969344\"]\n  1 -> 38 [size =\"38969344\"]\n  1 -> 41 [size =\"38969344\"]\n  1 -> 44 [size =\"38969344\"]\n  1 -> 47 [size =\"38969344\"]\n  1 -> 47 [size =\"38969344\"]\n  1 -> 49 [size =\"38969344\"]\n  1 -> 49 [size =\"38969344\"]\n  2 [size=\"47273984\", alpha=\"0.17\", expect_size=\"23636992\"] \n  2 -> 33 [size =\"23636992\"]\n  2 -> 35 [size =\"23636992\"]\n  2 -> 36 [size =\"23636992\"]\n  2 -> 38 [size =\"23636992\"]\n  2 -> 41 [size =\"23636992\"]\n  2 -> 44 [size =\"23636992\"]\n  2 -> 45 [size =\"23636992\"]\n  3 [size=\"84068352\", alpha=\"0.03\", expect_size=\"42034176\"] \n  3 -> 33 [size =\"42034176\"]\n  3 -> 35 [size =\"42034176\"]\n  3 -> 38 [size =\"42034176\"]\n  3 -> 41 [size =\"42034176\"]\n  3 -> 43 [size =\"42034176\"]\n  3 -> 44 [size =\"42034176\"]\n  3 -> 47 [size =\"42034176\"]\n  3 -> 50 [size =\"42034176\"]\n  4 [size=\"55896064\", alpha=\"0.20\", expect_size=\"27948032\"] \n  4 -> 33 [size =\"27948032\"]\n  4 -> 34 [size =\"27948032\"]\n  4 -> 35 [size =\"27948032\"]\n  4 -> 38 [size =\"27948032\"]\n  4 -> 43 [size =\"27948032\"]\n  4 -> 44 [size =\"27948032\"]\n  4 -> 47 [size =\"27948032\"]\n  4 -> 49 [size =\"27948032\"]\n  5 [size=\"68524032\", alpha=\"0.03\", expect_size=\"34262016\"] \n  5 -> 33 [size =\"34262016\"]\n  5 -> 35 [size =\"34262016\"]\n  5 -> 36 [size =\"34262016\"]\n  5 -> 38 [size =\"34262016\"]\n  5 -> 40 [size =\"34262016\"]\n  5 -> 41 [size =\"34262016\"]\n  5 -> 43 [size =\"34262016\"]\n  5 -> 44 [size =\"34262016\"]\n  6 [size=\"52615168\", alpha=\"0.08\", expect_size=\"26307584\"] \n  6 -> 33 [size =\"26307584\"]\n  6 -> 36 [size =\"26307584\"]\n  6 -> 38 [size =\"26307584\"]\n  6 -> 38 [size =\"26307584\"]\n  6 -> 41 [size =\"26307584\"]\n  6 -> 41 [size =\"26307584\"]\n  6 -> 43 [size =\"26307584\"]\n  6 -> 44 [size =\"26307584\"]\n  7 [size=\"74012672\", alpha=\"0.04\", expect_size=\"37006336\"] \n  7 -> 33 [size =\"37006336\"]\n  7 -> 34 [size =\"37006336\"]\n  7 -> 35 [size =\"37006336\"]\n  7 -> 36 [size =\"37006336\"]\n  7 -> 38 [size =\"37006336\"]\n  7 -> 41 [size =\"37006336\"]\n  7 -> 43 [size =\"37006336\"]\n  7 -> 46 [size =\"37006336\"]\n  7 -> 47 [size =\"37006336\"]\n  7 -> 48 [size =\"37006336\"]\n  8 [size=\"78385152\", alpha=\"0.07\", expect_size=\"39192576\"] \n  8 -> 33 [size =\"39192576\"]\n  8 -> 34 [size =\"39192576\"]\n  8 -> 37 [size =\"39192576\"]\n  8 -> 38 [size =\"39192576\"]\n  8 -> 38 [size =\"39192576\"]\n  8 -> 43 [size =\"39192576\"]\n  8 -> 47 [size =\"39192576\"]\n  9 [size=\"73988096\", alpha=\"0.13\", expect_size=\"36994048\"] \n  9 -> 33 [size =\"36994048\"]\n  9 -> 34 [size =\"36994048\"]\n  9 -> 36 [size =\"36994048\"]\n  9 -> 37 [size =\"36994048\"]\n  9 -> 40 [size =\"36994048\"]\n  9 -> 41 [size =\"36994048\"]\n  9 -> 45 [size =\"36994048\"]\n  9 -> 49 [size =\"36994048\"]\n  9 -> 50 [size =\"36994048\"]\n  10 [size=\"85536768\", alpha=\"0.03\", expect_size=\"42768384\"] \n  10 -> 33 [size =\"42768384\"]\n  10 -> 35 [size =\"42768384\"]\n  10 -> 36 [size =\"42768384\"]\n  10 -> 37 [size =\"42768384\"]\n  10 -> 41 [size =\"42768384\"]\n  10 -> 49 [size =\"42768384\"]\n  11 [size=\"93716480\", alpha=\"0.09\", expect_size=\"46858240\"] \n  11 -> 33 [size =\"46858240\"]\n  11 -> 35 [size =\"46858240\"]\n  11 -> 36 [size =\"46858240\"]\n  11 -> 37 [size =\"46858240\"]\n  11 -> 41 [size =\"46858240\"]\n  11 -> 44 [size =\"46858240\"]\n  11 -> 47 [size =\"46858240\"]\n  11 -> 49 [size =\"46858240\"]\n  12 [size=\"68001792\", alpha=\"0.14\", expect_size=\"34000896\"] \n  12 -> 33 [size =\"34000896\"]\n  12 -> 35 [size =\"34000896\"]\n  12 -> 37 [size =\"34000896\"]\n  12 -> 38 [size =\"34000896\"]\n  12 -> 47 [size =\"34000896\"]\n  12 -> 49 [size =\"34000896\"]\n  13 [size=\"53049344\", alpha=\"0.13\", expect_size=\"26524672\"] \n  13 -> 33 [size =\"26524672\"]\n  13 -> 34 [size =\"26524672\"]\n  13 -> 35 [size =\"26524672\"]\n  13 -> 36 [size =\"26524672\"]\n  13 -> 38 [size =\"26524672\"]\n  13 -> 40 [size =\"26524672\"]\n  13 -> 41 [size =\"26524672\"]\n  13 -> 43 [size =\"26524672\"]\n  13 -> 45 [size =\"26524672\"]\n  13 -> 49 [size =\"26524672\"]\n  14 [size=\"65951744\", alpha=\"0.01\", expect_size=\"32975872\"] \n  14 -> 33 [size =\"32975872\"]\n  14 -> 34 [size =\"32975872\"]\n  14 -> 35 [size =\"32975872\"]\n  14 -> 36 [size =\"32975872\"]\n  14 -> 38 [size =\"32975872\"]\n  14 -> 40 [size =\"32975872\"]\n  14 -> 41 [size =\"32975872\"]\n  14 -> 43 [size =\"32975872\"]\n  14 -> 49 [size =\"32975872\"]\n  14 -> 49 [size =\"32975872\"]\n  14 -> 50 [size =\"32975872\"]\n  15 [size=\"65159168\", alpha=\"0.10\", expect_size=\"32579584\"] \n  15 -> 33 [size =\"32579584\"]\n  15 -> 34 [size =\"32579584\"]\n  15 -> 35 [size =\"32579584\"]\n  15 -> 36 [size =\"32579584\"]\n  15 -> 38 [size =\"32579584\"]\n  15 -> 39 [size =\"32579584\"]\n  15 -> 40 [size =\"32579584\"]\n  15 -> 43 [size =\"32579584\"]\n  15 -> 49 [size =\"32579584\"]\n  16 [size=\"80349184\", alpha=\"0.06\", expect_size=\"40174592\"] \n  16 -> 33 [size =\"40174592\"]\n  16 -> 34 [size =\"40174592\"]\n  16 -> 35 [size =\"40174592\"]\n  16 -> 36 [size =\"40174592\"]\n  16 -> 38 [size =\"40174592\"]\n  16 -> 40 [size =\"40174592\"]\n  16 -> 42 [size =\"40174592\"]\n  16 -> 44 [size =\"40174592\"]\n  16 -> 47 [size =\"40174592\"]\n  16 -> 48 [size =\"40174592\"]\n  16 -> 49 [size =\"40174592\"]\n  17 [size=\"21895168\", alpha=\"0.02\", expect_size=\"10947584\"] \n  17 -> 34 [size =\"10947584\"]\n  17 -> 34 [size =\"10947584\"]\n  17 -> 38 [size =\"10947584\"]\n  17 -> 41 [size =\"10947584\"]\n  17 -> 47 [size =\"10947584\"]\n  17 -> 49 [size =\"10947584\"]\n  18 [size=\"41465856\", alpha=\"0.20\", expect_size=\"20732928\"] \n  18 -> 33 [size =\"20732928\"]\n  18 -> 37 [size =\"20732928\"]\n  18 -> 40 [size =\"20732928\"]\n  18 -> 41 [size =\"20732928\"]\n  18 -> 43 [size =\"20732928\"]\n  18 -> 44 [size =\"20732928\"]\n  18 -> 45 [size =\"20732928\"]\n  18 -> 46 [size =\"20732928\"]\n  18 -> 47 [size =\"20732928\"]\n  18 -> 49 [size =\"20732928\"]\n  19 [size=\"75905024\", alpha=\"0.02\", expect_size=\"37952512\"] \n  19 -> 35 [size =\"37952512\"]\n  19 -> 36 [size =\"37952512\"]\n  19 -> 38 [size =\"37952512\"]\n  19 -> 39 [size =\"37952512\"]\n  19 -> 41 [size =\"37952512\"]\n  19 -> 42 [size =\"37952512\"]\n  19 -> 45 [size =\"37952512\"]\n  19 -> 47 [size =\"37952512\"]\n  19 -> 47 [size =\"37952512\"]\n  19 -> 49 [size =\"37952512\"]\n  19 -> 50 [size =\"37952512\"]\n  20 [size=\"44312576\", alpha=\"0.15\", expect_size=\"22156288\"] \n  20 -> 33 [size =\"22156288\"]\n  20 -> 35 [size =\"22156288\"]\n  20 -> 37 [size =\"22156288\"]\n  20 -> 38 [size =\"22156288\"]\n  20 -> 41 [size =\"22156288\"]\n  20 -> 43 [size =\"22156288\"]\n  20 -> 44 [size =\"22156288\"]\n  20 -> 47 [size =\"22156288\"]\n  20 -> 50 [size =\"22156288\"]\n  21 [size=\"58906624\", alpha=\"0.01\", expect_size=\"29453312\"] \n  21 -> 35 [size =\"29453312\"]\n  21 -> 35 [size =\"29453312\"]\n  21 -> 39 [size =\"29453312\"]\n  21 -> 40 [size =\"29453312\"]\n  21 -> 41 [size =\"29453312\"]\n  21 -> 43 [size =\"29453312\"]\n  21 -> 45 [size =\"29453312\"]\n  21 -> 47 [size =\"29453312\"]\n  21 -> 49 [size =\"29453312\"]\n  22 [size=\"102334464\", alpha=\"0.15\", expect_size=\"51167232\"] \n  22 -> 34 [size =\"51167232\"]\n  22 -> 35 [size =\"51167232\"]\n  22 -> 36 [size =\"51167232\"]\n  22 -> 37 [size =\"51167232\"]\n  22 -> 39 [size =\"51167232\"]\n  22 -> 40 [size =\"51167232\"]\n  22 -> 41 [size =\"51167232\"]\n  22 -> 43 [size =\"51167232\"]\n  22 -> 45 [size =\"51167232\"]\n  22 -> 47 [size =\"51167232\"]\n  22 -> 50 [size =\"51167232\"]\n  23 [size=\"75036672\", alpha=\"0.05\", expect_size=\"37518336\"] \n  23 -> 34 [size =\"37518336\"]\n  23 -> 35 [size =\"37518336\"]\n  23 -> 37 [size =\"37518336\"]\n  23 -> 38 [size =\"37518336\"]\n  23 -> 40 [size =\"37518336\"]\n  23 -> 41 [size =\"37518336\"]\n  23 -> 44 [size =\"37518336\"]\n  23 -> 45 [size =\"37518336\"]\n  23 -> 47 [size =\"37518336\"]\n  23 -> 47 [size =\"37518336\"]\n  23 -> 50 [size =\"37518336\"]\n  24 [size=\"43200512\", alpha=\"0.05\", expect_size=\"21600256\"] \n  24 -> 38 [size =\"21600256\"]\n  24 -> 41 [size =\"21600256\"]\n  24 -> 47 [size =\"21600256\"]\n  24 -> 48 [size =\"21600256\"]\n  24 -> 49 [size =\"21600256\"]\n  24 -> 50 [size =\"21600256\"]\n  25 [size=\"47306752\", alpha=\"0.17\", expect_size=\"23653376\"] \n  25 -> 33 [size =\"23653376\"]\n  25 -> 35 [size =\"23653376\"]\n  25 -> 37 [size =\"23653376\"]\n  25 -> 38 [size =\"23653376\"]\n  25 -> 39 [size =\"23653376\"]\n  25 -> 43 [size =\"23653376\"]\n  25 -> 45 [size =\"23653376\"]\n  25 -> 47 [size =\"23653376\"]\n  26 [size=\"92891136\", alpha=\"0.17\", expect_size=\"46445568\"] \n  26 -> 37 [size =\"46445568\"]\n  26 -> 38 [size =\"46445568\"]\n  26 -> 40 [size =\"46445568\"]\n  26 -> 41 [size =\"46445568\"]\n  26 -> 47 [size =\"46445568\"]\n  26 -> 48 [size =\"46445568\"]\n  26 -> 49 [size =\"46445568\"]\n  27 [size=\"25917440\", alpha=\"0.11\", expect_size=\"12958720\"] \n  27 -> 33 [size =\"12958720\"]\n  27 -> 35 [size =\"12958720\"]\n  27 -> 36 [size =\"12958720\"]\n  27 -> 44 [size =\"12958720\"]\n  27 -> 45 [size =\"12958720\"]\n  27 -> 47 [size =\"12958720\"]\n  27 -> 48 [size =\"12958720\"]\n  28 [size=\"33638400\", alpha=\"0.00\", expect_size=\"16819200\"] \n  28 -> 33 [size =\"16819200\"]\n  28 -> 34 [size =\"16819200\"]\n  28 -> 35 [size =\"16819200\"]\n  28 -> 41 [size =\"16819200\"]\n  28 -> 45 [size =\"16819200\"]\n  28 -> 46 [size =\"16819200\"]\n  28 -> 49 [size =\"16819200\"]\n  28 -> 50 [size =\"16819200\"]\n  29 [size=\"32714752\", alpha=\"0.02\", expect_size=\"16357376\"] \n  29 -> 33 [size =\"16357376\"]\n  29 -> 34 [size =\"16357376\"]\n  29 -> 37 [size =\"16357376\"]\n  29 -> 38 [size =\"16357376\"]\n  29 -> 41 [size =\"16357376\"]\n  29 -> 47 [size =\"16357376\"]\n  29 -> 49 [size =\"16357376\"]\n  30 [size=\"43773952\", alpha=\"0.00\", expect_size=\"21886976\"] \n  30 -> 33 [size =\"21886976\"]\n  30 -> 36 [size =\"21886976\"]\n  30 -> 38 [size =\"21886976\"]\n  30 -> 45 [size =\"21886976\"]\n  30 -> 49 [size =\"21886976\"]\n  30 -> 50 [size =\"21886976\"]\n  31 [size=\"18016256\", alpha=\"0.16\", expect_size=\"9008128\"] \n  31 -> 33 [size =\"9008128\"]\n  31 -> 34 [size =\"9008128\"]\n  31 -> 38 [size =\"9008128\"]\n  31 -> 41 [size =\"9008128\"]\n  31 -> 43 [size =\"9008128\"]\n  31 -> 44 [size =\"9008128\"]\n  31 -> 47 [size =\"9008128\"]\n  31 -> 49 [size =\"9008128\"]\n  31 -> 50 [size =\"9008128\"]\n  32 [size=\"22898688\", alpha=\"0.03\", expect_size=\"11449344\"] \n  32 -> 33 [size =\"11449344\"]\n  32 -> 34 [size =\"11449344\"]\n  32 -> 37 [size =\"11449344\"]\n  32 -> 38 [size =\"11449344\"]\n  32 -> 40 [size =\"11449344\"]\n  32 -> 41 [size =\"11449344\"]\n  32 -> 46 [size =\"11449344\"]\n  32 -> 47 [size =\"11449344\"]\n  32 -> 48 [size =\"11449344\"]\n  32 -> 49 [size =\"11449344\"]\n  32 -> 50 [size =\"11449344\"]\n  33 [size=\"95209472\", alpha=\"0.00\", expect_size=\"47604736\"] \n  34 [size=\"25413632\", alpha=\"0.09\", expect_size=\"12706816\"] \n  35 [size=\"47669248\", alpha=\"0.09\", expect_size=\"23834624\"] \n  36 [size=\"31270912\", alpha=\"0.04\", expect_size=\"15635456\"] \n  37 [size=\"18348032\", alpha=\"0.01\", expect_size=\"9174016\"] \n  38 [size=\"72429568\", alpha=\"0.05\", expect_size=\"36214784\"] \n  39 [size=\"72673280\", alpha=\"0.03\", expect_size=\"36336640\"] \n  40 [size=\"82579456\", alpha=\"0.08\", expect_size=\"41289728\"] \n  41 [size=\"82829312\", alpha=\"0.03\", expect_size=\"41414656\"] \n  42 [size=\"62285824\", alpha=\"0.18\", expect_size=\"31142912\"] \n  43 [size=\"78462976\", alpha=\"0.06\", expect_size=\"39231488\"] \n  44 [size=\"79554560\", alpha=\"0.02\", expect_size=\"39777280\"] \n  45 [size=\"26654720\", alpha=\"0.05\", expect_size=\"13327360\"] \n  46 [size=\"68808704\", alpha=\"0.05\", expect_size=\"34404352\"] \n  47 [size=\"87138304\", alpha=\"0.09\", expect_size=\"43569152\"] \n  48 [size=\"93054976\", alpha=\"0.18\", expect_size=\"46527488\"] \n  49 [size=\"23166976\", alpha=\"0.11\", expect_size=\"11583488\"] \n  50 [size=\"37267456\", alpha=\"0.12\", expect_size=\"18633728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60249600\", alpha=\"0.10\", expect_size=\"24099840\"] \n  1 -> 4 [size =\"24099840\"]\n  1 -> 5 [size =\"24099840\"]\n  1 -> 6 [size =\"24099840\"]\n  2 [size=\"91146240\", alpha=\"0.02\", expect_size=\"36458496\"] \n  2 -> 4 [size =\"36458496\"]\n  2 -> 5 [size =\"36458496\"]\n  3 [size=\"86346240\", alpha=\"0.14\", expect_size=\"34538496\"] \n  3 -> 4 [size =\"34538496\"]\n  3 -> 5 [size =\"34538496\"]\n  3 -> 6 [size =\"34538496\"]\n  4 [size=\"50839040\", alpha=\"0.17\", expect_size=\"20335616\"] \n  4 -> 7 [size =\"20335616\"]\n  5 [size=\"118033920\", alpha=\"0.10\", expect_size=\"47213568\"] \n  5 -> 7 [size =\"47213568\"]\n  6 [size=\"127078400\", alpha=\"0.04\", expect_size=\"50831360\"] \n  7 [size=\"19013120\", alpha=\"0.17\", expect_size=\"7605248\"] \n  7 -> 8 [size =\"7605248\"]\n  7 -> 9 [size =\"7605248\"]\n  7 -> 10 [size =\"7605248\"]\n  8 [size=\"29936640\", alpha=\"0.17\", expect_size=\"11974656\"] \n  8 -> 11 [size =\"11974656\"]\n  8 -> 12 [size =\"11974656\"]\n  8 -> 13 [size =\"11974656\"]\n  9 [size=\"39959040\", alpha=\"0.07\", expect_size=\"15983616\"] \n  10 [size=\"102476800\", alpha=\"0.12\", expect_size=\"40990720\"] \n  10 -> 12 [size =\"40990720\"]\n  10 -> 13 [size =\"40990720\"]\n  11 [size=\"22366720\", alpha=\"0.16\", expect_size=\"8946688\"] \n  11 -> 15 [size =\"8946688\"]\n  11 -> 15 [size =\"8946688\"]\n  11 -> 16 [size =\"8946688\"]\n  12 [size=\"84267520\", alpha=\"0.11\", expect_size=\"33707008\"] \n  12 -> 14 [size =\"33707008\"]\n  12 -> 16 [size =\"33707008\"]\n  13 [size=\"95065600\", alpha=\"0.08\", expect_size=\"38026240\"] \n  13 -> 14 [size =\"38026240\"]\n  13 -> 15 [size =\"38026240\"]\n  13 -> 16 [size =\"38026240\"]\n  14 [size=\"60533760\", alpha=\"0.17\", expect_size=\"24213504\"] \n  14 -> 17 [size =\"24213504\"]\n  15 [size=\"41282560\", alpha=\"0.02\", expect_size=\"16513024\"] \n  15 -> 17 [size =\"16513024\"]\n  16 [size=\"102300160\", alpha=\"0.12\", expect_size=\"40920064\"] \n  16 -> 17 [size =\"40920064\"]\n  17 [size=\"128276480\", alpha=\"0.16\", expect_size=\"51310592\"] \n  17 -> 18 [size =\"51310592\"]\n  17 -> 19 [size =\"51310592\"]\n  18 [size=\"112384000\", alpha=\"0.17\", expect_size=\"44953600\"] \n  18 -> 20 [size =\"44953600\"]\n  19 [size=\"97556480\", alpha=\"0.18\", expect_size=\"39022592\"] \n  19 -> 20 [size =\"39022592\"]\n  19 -> 21 [size =\"39022592\"]\n  19 -> 22 [size =\"39022592\"]\n  20 [size=\"19266560\", alpha=\"0.19\", expect_size=\"7706624\"] \n  21 [size=\"87761920\", alpha=\"0.09\", expect_size=\"35104768\"] \n  21 -> 23 [size =\"35104768\"]\n  22 [size=\"66357760\", alpha=\"0.12\", expect_size=\"26543104\"] \n  23 [size=\"14146560\", alpha=\"0.08\", expect_size=\"5658624\"] \n  23 -> 24 [size =\"5658624\"]\n  23 -> 25 [size =\"5658624\"]\n  23 -> 26 [size =\"5658624\"]\n  24 [size=\"59325440\", alpha=\"0.10\", expect_size=\"23730176\"] \n  24 -> 27 [size =\"23730176\"]\n  24 -> 29 [size =\"23730176\"]\n  25 [size=\"41016320\", alpha=\"0.09\", expect_size=\"16406528\"] \n  25 -> 27 [size =\"16406528\"]\n  25 -> 29 [size =\"16406528\"]\n  26 [size=\"53327360\", alpha=\"0.08\", expect_size=\"21330944\"] \n  26 -> 27 [size =\"21330944\"]\n  26 -> 28 [size =\"21330944\"]\n  26 -> 29 [size =\"21330944\"]\n  27 [size=\"125772800\", alpha=\"0.08\", expect_size=\"50309120\"] \n  28 [size=\"102192640\", alpha=\"0.11\", expect_size=\"40877056\"] \n  28 -> 30 [size =\"40877056\"]\n  29 [size=\"84014080\", alpha=\"0.19\", expect_size=\"33605632\"] \n  30 [size=\"70036480\", alpha=\"0.01\", expect_size=\"28014592\"] \n  30 -> 31 [size =\"28014592\"]\n  30 -> 32 [size =\"28014592\"]\n  30 -> 33 [size =\"28014592\"]\n  30 -> 34 [size =\"28014592\"]\n  31 [size=\"66905600\", alpha=\"0.05\", expect_size=\"26762240\"] \n  32 [size=\"121766400\", alpha=\"0.01\", expect_size=\"48706560\"] \n  32 -> 35 [size =\"48706560\"]\n  33 [size=\"76728320\", alpha=\"0.12\", expect_size=\"30691328\"] \n  34 [size=\"123000320\", alpha=\"0.10\", expect_size=\"49200128\"] \n  35 [size=\"62382080\", alpha=\"0.13\", expect_size=\"24952832\"] \n  35 -> 36 [size =\"24952832\"]\n  36 [size=\"117770240\", alpha=\"0.11\", expect_size=\"47108096\"] \n  36 -> 37 [size =\"47108096\"]\n  36 -> 38 [size =\"47108096\"]\n  36 -> 39 [size =\"47108096\"]\n  36 -> 40 [size =\"47108096\"]\n  37 [size=\"49239040\", alpha=\"0.08\", expect_size=\"19695616\"] \n  37 -> 41 [size =\"19695616\"]\n  37 -> 42 [size =\"19695616\"]\n  38 [size=\"98631680\", alpha=\"0.03\", expect_size=\"39452672\"] \n  38 -> 41 [size =\"39452672\"]\n  38 -> 42 [size =\"39452672\"]\n  39 [size=\"46845440\", alpha=\"0.11\", expect_size=\"18738176\"] \n  39 -> 41 [size =\"18738176\"]\n  40 [size=\"38699520\", alpha=\"0.01\", expect_size=\"15479808\"] \n  40 -> 41 [size =\"15479808\"]\n  41 [size=\"45601280\", alpha=\"0.03\", expect_size=\"18240512\"] \n  41 -> 43 [size =\"18240512\"]\n  41 -> 44 [size =\"18240512\"]\n  41 -> 45 [size =\"18240512\"]\n  42 [size=\"76810240\", alpha=\"0.15\", expect_size=\"30724096\"] \n  42 -> 43 [size =\"30724096\"]\n  42 -> 44 [size =\"30724096\"]\n  43 [size=\"85521920\", alpha=\"0.06\", expect_size=\"34208768\"] \n  43 -> 46 [size =\"34208768\"]\n  44 [size=\"35732480\", alpha=\"0.06\", expect_size=\"14292992\"] \n  44 -> 46 [size =\"14292992\"]\n  45 [size=\"92833280\", alpha=\"0.10\", expect_size=\"37133312\"] \n  45 -> 46 [size =\"37133312\"]\n  46 [size=\"49072640\", alpha=\"0.01\", expect_size=\"19629056\"] \n  46 -> 47 [size =\"19629056\"]\n  46 -> 48 [size =\"19629056\"]\n  47 [size=\"111605760\", alpha=\"0.11\", expect_size=\"44642304\"] \n  47 -> 49 [size =\"44642304\"]\n  47 -> 50 [size =\"44642304\"]\n  48 [size=\"41712640\", alpha=\"0.16\", expect_size=\"16685056\"] \n  48 -> 49 [size =\"16685056\"]\n  49 [size=\"56637440\", alpha=\"0.14\", expect_size=\"22654976\"] \n  50 [size=\"122864640\", alpha=\"0.00\", expect_size=\"49145856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.290.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44958720\", alpha=\"0.03\", expect_size=\"17983488\"] \n  1 -> 2 [size =\"17983488\"]\n  2 [size=\"56611840\", alpha=\"0.10\", expect_size=\"22644736\"] \n  2 -> 3 [size =\"22644736\"]\n  3 [size=\"33774080\", alpha=\"0.20\", expect_size=\"13509632\"] \n  3 -> 4 [size =\"13509632\"]\n  4 [size=\"13672960\", alpha=\"0.16\", expect_size=\"5469184\"] \n  4 -> 5 [size =\"5469184\"]\n  5 [size=\"17379840\", alpha=\"0.19\", expect_size=\"6951936\"] \n  5 -> 6 [size =\"6951936\"]\n  6 [size=\"73052160\", alpha=\"0.08\", expect_size=\"29220864\"] \n  6 -> 7 [size =\"29220864\"]\n  7 [size=\"65768960\", alpha=\"0.15\", expect_size=\"26307584\"] \n  7 -> 8 [size =\"26307584\"]\n  8 [size=\"130882560\", alpha=\"0.07\", expect_size=\"52353024\"] \n  8 -> 9 [size =\"52353024\"]\n  9 [size=\"98603520\", alpha=\"0.02\", expect_size=\"39441408\"] \n  9 -> 10 [size =\"39441408\"]\n  10 [size=\"107374080\", alpha=\"0.06\", expect_size=\"42949632\"] \n  10 -> 11 [size =\"42949632\"]\n  11 [size=\"19514880\", alpha=\"0.06\", expect_size=\"7805952\"] \n  11 -> 12 [size =\"7805952\"]\n  12 [size=\"36019200\", alpha=\"0.05\", expect_size=\"14407680\"] \n  12 -> 13 [size =\"14407680\"]\n  13 [size=\"93744640\", alpha=\"0.15\", expect_size=\"37497856\"] \n  13 -> 14 [size =\"37497856\"]\n  14 [size=\"92062720\", alpha=\"0.03\", expect_size=\"36825088\"] \n  14 -> 15 [size =\"36825088\"]\n  15 [size=\"68712960\", alpha=\"0.18\", expect_size=\"27485184\"] \n  15 -> 16 [size =\"27485184\"]\n  16 [size=\"60879360\", alpha=\"0.11\", expect_size=\"24351744\"] \n  16 -> 17 [size =\"24351744\"]\n  17 [size=\"106990080\", alpha=\"0.10\", expect_size=\"42796032\"] \n  17 -> 18 [size =\"42796032\"]\n  18 [size=\"75392000\", alpha=\"0.08\", expect_size=\"30156800\"] \n  18 -> 19 [size =\"30156800\"]\n  19 [size=\"119104000\", alpha=\"0.18\", expect_size=\"47641600\"] \n  19 -> 20 [size =\"47641600\"]\n  20 [size=\"130649600\", alpha=\"0.10\", expect_size=\"52259840\"] \n  20 -> 21 [size =\"52259840\"]\n  21 [size=\"46807040\", alpha=\"0.07\", expect_size=\"18722816\"] \n  21 -> 22 [size =\"18722816\"]\n  22 [size=\"80504320\", alpha=\"0.11\", expect_size=\"32201728\"] \n  22 -> 23 [size =\"32201728\"]\n  23 [size=\"107476480\", alpha=\"0.19\", expect_size=\"42990592\"] \n  23 -> 24 [size =\"42990592\"]\n  24 [size=\"77527040\", alpha=\"0.07\", expect_size=\"31010816\"] \n  24 -> 25 [size =\"31010816\"]\n  25 [size=\"97031680\", alpha=\"0.15\", expect_size=\"38812672\"] \n  25 -> 26 [size =\"38812672\"]\n  26 [size=\"84664320\", alpha=\"0.14\", expect_size=\"33865728\"] \n  26 -> 27 [size =\"33865728\"]\n  27 [size=\"28802560\", alpha=\"0.02\", expect_size=\"11521024\"] \n  27 -> 28 [size =\"11521024\"]\n  28 [size=\"86031360\", alpha=\"0.10\", expect_size=\"34412544\"] \n  28 -> 29 [size =\"34412544\"]\n  29 [size=\"17623040\", alpha=\"0.12\", expect_size=\"7049216\"] \n  29 -> 30 [size =\"7049216\"]\n  30 [size=\"125941760\", alpha=\"0.10\", expect_size=\"50376704\"] \n  30 -> 31 [size =\"50376704\"]\n  31 [size=\"66245120\", alpha=\"0.09\", expect_size=\"26498048\"] \n  31 -> 32 [size =\"26498048\"]\n  32 [size=\"106316800\", alpha=\"0.12\", expect_size=\"42526720\"] \n  32 -> 33 [size =\"42526720\"]\n  33 [size=\"53731840\", alpha=\"0.09\", expect_size=\"21492736\"] \n  33 -> 34 [size =\"21492736\"]\n  34 [size=\"47124480\", alpha=\"0.19\", expect_size=\"18849792\"] \n  34 -> 35 [size =\"18849792\"]\n  35 [size=\"87060480\", alpha=\"0.19\", expect_size=\"34824192\"] \n  35 -> 36 [size =\"34824192\"]\n  36 [size=\"59847680\", alpha=\"0.07\", expect_size=\"23939072\"] \n  36 -> 37 [size =\"23939072\"]\n  37 [size=\"25433600\", alpha=\"0.10\", expect_size=\"10173440\"] \n  37 -> 38 [size =\"10173440\"]\n  38 [size=\"36480000\", alpha=\"0.04\", expect_size=\"14592000\"] \n  38 -> 39 [size =\"14592000\"]\n  39 [size=\"92802560\", alpha=\"0.17\", expect_size=\"37121024\"] \n  39 -> 40 [size =\"37121024\"]\n  40 [size=\"43960320\", alpha=\"0.09\", expect_size=\"17584128\"] \n  40 -> 41 [size =\"17584128\"]\n  41 [size=\"102190080\", alpha=\"0.06\", expect_size=\"40876032\"] \n  41 -> 42 [size =\"40876032\"]\n  42 [size=\"37969920\", alpha=\"0.16\", expect_size=\"15187968\"] \n  42 -> 43 [size =\"15187968\"]\n  43 [size=\"110141440\", alpha=\"0.01\", expect_size=\"44056576\"] \n  43 -> 44 [size =\"44056576\"]\n  44 [size=\"45447680\", alpha=\"0.17\", expect_size=\"18179072\"] \n  44 -> 45 [size =\"18179072\"]\n  45 [size=\"40808960\", alpha=\"0.07\", expect_size=\"16323584\"] \n  45 -> 46 [size =\"16323584\"]\n  46 [size=\"33871360\", alpha=\"0.10\", expect_size=\"13548544\"] \n  46 -> 47 [size =\"13548544\"]\n  47 [size=\"72409600\", alpha=\"0.15\", expect_size=\"28963840\"] \n  47 -> 48 [size =\"28963840\"]\n  48 [size=\"14371840\", alpha=\"0.13\", expect_size=\"5748736\"] \n  48 -> 49 [size =\"5748736\"]\n  49 [size=\"40015360\", alpha=\"0.11\", expect_size=\"16006144\"] \n  49 -> 50 [size =\"16006144\"]\n  50 [size=\"19402240\", alpha=\"0.08\", expect_size=\"7760896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.291.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101455872\", alpha=\"0.10\", expect_size=\"50727936\"] \n  2 [size=\"29849600\", alpha=\"0.15\", expect_size=\"14924800\"] \n  2 -> 5 [size =\"14924800\"]\n  3 [size=\"11698176\", alpha=\"0.11\", expect_size=\"5849088\"] \n  3 -> 6 [size =\"5849088\"]\n  4 [size=\"62480384\", alpha=\"0.09\", expect_size=\"31240192\"] \n  5 [size=\"84948992\", alpha=\"0.01\", expect_size=\"42474496\"] \n  5 -> 7 [size =\"42474496\"]\n  5 -> 9 [size =\"42474496\"]\n  6 [size=\"34203648\", alpha=\"0.14\", expect_size=\"17101824\"] \n  6 -> 7 [size =\"17101824\"]\n  6 -> 8 [size =\"17101824\"]\n  6 -> 10 [size =\"17101824\"]\n  7 [size=\"36075520\", alpha=\"0.00\", expect_size=\"18037760\"] \n  7 -> 11 [size =\"18037760\"]\n  7 -> 12 [size =\"18037760\"]\n  7 -> 13 [size =\"18037760\"]\n  8 [size=\"99504128\", alpha=\"0.10\", expect_size=\"49752064\"] \n  9 [size=\"23578624\", alpha=\"0.05\", expect_size=\"11789312\"] \n  9 -> 12 [size =\"11789312\"]\n  10 [size=\"12564480\", alpha=\"0.17\", expect_size=\"6282240\"] \n  10 -> 12 [size =\"6282240\"]\n  10 -> 13 [size =\"6282240\"]\n  11 [size=\"61898752\", alpha=\"0.17\", expect_size=\"30949376\"] \n  12 [size=\"15865856\", alpha=\"0.04\", expect_size=\"7932928\"] \n  12 -> 14 [size =\"7932928\"]\n  13 [size=\"88938496\", alpha=\"0.02\", expect_size=\"44469248\"] \n  13 -> 15 [size =\"44469248\"]\n  14 [size=\"44187648\", alpha=\"0.03\", expect_size=\"22093824\"] \n  14 -> 17 [size =\"22093824\"]\n  14 -> 18 [size =\"22093824\"]\n  15 [size=\"86343680\", alpha=\"0.03\", expect_size=\"43171840\"] \n  15 -> 16 [size =\"43171840\"]\n  16 [size=\"89210880\", alpha=\"0.19\", expect_size=\"44605440\"] \n  16 -> 19 [size =\"44605440\"]\n  16 -> 21 [size =\"44605440\"]\n  17 [size=\"63031296\", alpha=\"0.14\", expect_size=\"31515648\"] \n  17 -> 19 [size =\"31515648\"]\n  17 -> 20 [size =\"31515648\"]\n  17 -> 21 [size =\"31515648\"]\n  18 [size=\"64020480\", alpha=\"0.12\", expect_size=\"32010240\"] \n  18 -> 20 [size =\"32010240\"]\n  19 [size=\"16242688\", alpha=\"0.02\", expect_size=\"8121344\"] \n  20 [size=\"41619456\", alpha=\"0.02\", expect_size=\"20809728\"] \n  20 -> 22 [size =\"20809728\"]\n  21 [size=\"27113472\", alpha=\"0.01\", expect_size=\"13556736\"] \n  21 -> 22 [size =\"13556736\"]\n  22 [size=\"13164544\", alpha=\"0.04\", expect_size=\"6582272\"] \n  22 -> 23 [size =\"6582272\"]\n  23 [size=\"29847552\", alpha=\"0.08\", expect_size=\"14923776\"] \n  23 -> 24 [size =\"14923776\"]\n  23 -> 25 [size =\"14923776\"]\n  24 [size=\"37773312\", alpha=\"0.02\", expect_size=\"18886656\"] \n  24 -> 27 [size =\"18886656\"]\n  24 -> 28 [size =\"18886656\"]\n  25 [size=\"52570112\", alpha=\"0.12\", expect_size=\"26285056\"] \n  25 -> 26 [size =\"26285056\"]\n  25 -> 27 [size =\"26285056\"]\n  26 [size=\"67246080\", alpha=\"0.08\", expect_size=\"33623040\"] \n  26 -> 29 [size =\"33623040\"]\n  27 [size=\"60465152\", alpha=\"0.09\", expect_size=\"30232576\"] \n  27 -> 29 [size =\"30232576\"]\n  28 [size=\"32475136\", alpha=\"0.08\", expect_size=\"16237568\"] \n  29 [size=\"89911296\", alpha=\"0.11\", expect_size=\"44955648\"] \n  29 -> 30 [size =\"44955648\"]\n  29 -> 31 [size =\"44955648\"]\n  30 [size=\"99016704\", alpha=\"0.13\", expect_size=\"49508352\"] \n  30 -> 32 [size =\"49508352\"]\n  31 [size=\"13064192\", alpha=\"0.07\", expect_size=\"6532096\"] \n  31 -> 32 [size =\"6532096\"]\n  31 -> 33 [size =\"6532096\"]\n  32 [size=\"17399808\", alpha=\"0.02\", expect_size=\"8699904\"] \n  32 -> 34 [size =\"8699904\"]\n  32 -> 36 [size =\"8699904\"]\n  33 [size=\"37015552\", alpha=\"0.13\", expect_size=\"18507776\"] \n  33 -> 35 [size =\"18507776\"]\n  34 [size=\"73123840\", alpha=\"0.12\", expect_size=\"36561920\"] \n  34 -> 37 [size =\"36561920\"]\n  35 [size=\"83349504\", alpha=\"0.07\", expect_size=\"41674752\"] \n  35 -> 38 [size =\"41674752\"]\n  36 [size=\"47783936\", alpha=\"0.18\", expect_size=\"23891968\"] \n  36 -> 37 [size =\"23891968\"]\n  36 -> 38 [size =\"23891968\"]\n  36 -> 39 [size =\"23891968\"]\n  37 [size=\"84516864\", alpha=\"0.01\", expect_size=\"42258432\"] \n  37 -> 41 [size =\"42258432\"]\n  38 [size=\"30398464\", alpha=\"0.15\", expect_size=\"15199232\"] \n  38 -> 40 [size =\"15199232\"]\n  38 -> 42 [size =\"15199232\"]\n  38 -> 43 [size =\"15199232\"]\n  39 [size=\"68816896\", alpha=\"0.10\", expect_size=\"34408448\"] \n  39 -> 40 [size =\"34408448\"]\n  39 -> 43 [size =\"34408448\"]\n  40 [size=\"24125440\", alpha=\"0.11\", expect_size=\"12062720\"] \n  40 -> 45 [size =\"12062720\"]\n  41 [size=\"87146496\", alpha=\"0.17\", expect_size=\"43573248\"] \n  42 [size=\"26177536\", alpha=\"0.02\", expect_size=\"13088768\"] \n  42 -> 44 [size =\"13088768\"]\n  42 -> 46 [size =\"13088768\"]\n  43 [size=\"35344384\", alpha=\"0.12\", expect_size=\"17672192\"] \n  43 -> 44 [size =\"17672192\"]\n  43 -> 45 [size =\"17672192\"]\n  43 -> 46 [size =\"17672192\"]\n  44 [size=\"98727936\", alpha=\"0.08\", expect_size=\"49363968\"] \n  44 -> 49 [size =\"49363968\"]\n  45 [size=\"61286400\", alpha=\"0.13\", expect_size=\"30643200\"] \n  45 -> 48 [size =\"30643200\"]\n  46 [size=\"93253632\", alpha=\"0.09\", expect_size=\"46626816\"] \n  46 -> 47 [size =\"46626816\"]\n  46 -> 48 [size =\"46626816\"]\n  47 [size=\"84609024\", alpha=\"0.16\", expect_size=\"42304512\"] \n  48 [size=\"87900160\", alpha=\"0.08\", expect_size=\"43950080\"] \n  48 -> 50 [size =\"43950080\"]\n  49 [size=\"62287872\", alpha=\"0.17\", expect_size=\"31143936\"] \n  49 -> 50 [size =\"31143936\"]\n  50 [size=\"13533184\", alpha=\"0.04\", expect_size=\"6766592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.292.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25658880\", alpha=\"0.19\", expect_size=\"10263552\"] \n  1 -> 3 [size =\"10263552\"]\n  1 -> 4 [size =\"10263552\"]\n  2 [size=\"104414720\", alpha=\"0.18\", expect_size=\"41765888\"] \n  2 -> 5 [size =\"41765888\"]\n  3 [size=\"46876160\", alpha=\"0.13\", expect_size=\"18750464\"] \n  3 -> 6 [size =\"18750464\"]\n  3 -> 7 [size =\"18750464\"]\n  4 [size=\"106324480\", alpha=\"0.05\", expect_size=\"42529792\"] \n  4 -> 7 [size =\"42529792\"]\n  5 [size=\"109626880\", alpha=\"0.01\", expect_size=\"43850752\"] \n  6 [size=\"75614720\", alpha=\"0.13\", expect_size=\"30245888\"] \n  6 -> 8 [size =\"30245888\"]\n  6 -> 10 [size =\"30245888\"]\n  7 [size=\"29493760\", alpha=\"0.17\", expect_size=\"11797504\"] \n  7 -> 9 [size =\"11797504\"]\n  8 [size=\"82375680\", alpha=\"0.03\", expect_size=\"32950272\"] \n  8 -> 11 [size =\"32950272\"]\n  9 [size=\"89400320\", alpha=\"0.08\", expect_size=\"35760128\"] \n  9 -> 13 [size =\"35760128\"]\n  10 [size=\"92459520\", alpha=\"0.05\", expect_size=\"36983808\"] \n  10 -> 12 [size =\"36983808\"]\n  10 -> 13 [size =\"36983808\"]\n  11 [size=\"45271040\", alpha=\"0.13\", expect_size=\"18108416\"] \n  11 -> 14 [size =\"18108416\"]\n  11 -> 16 [size =\"18108416\"]\n  12 [size=\"37872640\", alpha=\"0.17\", expect_size=\"15149056\"] \n  12 -> 15 [size =\"15149056\"]\n  13 [size=\"28500480\", alpha=\"0.01\", expect_size=\"11400192\"] \n  14 [size=\"106936320\", alpha=\"0.08\", expect_size=\"42774528\"] \n  14 -> 17 [size =\"42774528\"]\n  15 [size=\"15741440\", alpha=\"0.09\", expect_size=\"6296576\"] \n  15 -> 18 [size =\"6296576\"]\n  16 [size=\"22197760\", alpha=\"0.19\", expect_size=\"8879104\"] \n  17 [size=\"100254720\", alpha=\"0.17\", expect_size=\"40101888\"] \n  18 [size=\"82485760\", alpha=\"0.11\", expect_size=\"32994304\"] \n  18 -> 19 [size =\"32994304\"]\n  18 -> 20 [size =\"32994304\"]\n  18 -> 21 [size =\"32994304\"]\n  19 [size=\"99525120\", alpha=\"0.09\", expect_size=\"39810048\"] \n  20 [size=\"27138560\", alpha=\"0.06\", expect_size=\"10855424\"] \n  20 -> 22 [size =\"10855424\"]\n  21 [size=\"53980160\", alpha=\"0.05\", expect_size=\"21592064\"] \n  21 -> 22 [size =\"21592064\"]\n  21 -> 23 [size =\"21592064\"]\n  21 -> 24 [size =\"21592064\"]\n  22 [size=\"129374720\", alpha=\"0.00\", expect_size=\"51749888\"] \n  22 -> 25 [size =\"51749888\"]\n  22 -> 26 [size =\"51749888\"]\n  23 [size=\"113408000\", alpha=\"0.01\", expect_size=\"45363200\"] \n  23 -> 26 [size =\"45363200\"]\n  24 [size=\"121277440\", alpha=\"0.17\", expect_size=\"48510976\"] \n  24 -> 25 [size =\"48510976\"]\n  25 [size=\"51038720\", alpha=\"0.09\", expect_size=\"20415488\"] \n  26 [size=\"105784320\", alpha=\"0.12\", expect_size=\"42313728\"] \n  26 -> 27 [size =\"42313728\"]\n  26 -> 28 [size =\"42313728\"]\n  27 [size=\"98117120\", alpha=\"0.18\", expect_size=\"39246848\"] \n  27 -> 30 [size =\"39246848\"]\n  28 [size=\"81564160\", alpha=\"0.16\", expect_size=\"32625664\"] \n  28 -> 29 [size =\"32625664\"]\n  29 [size=\"30359040\", alpha=\"0.07\", expect_size=\"12143616\"] \n  29 -> 33 [size =\"12143616\"]\n  30 [size=\"84769280\", alpha=\"0.11\", expect_size=\"33907712\"] \n  30 -> 31 [size =\"33907712\"]\n  30 -> 32 [size =\"33907712\"]\n  31 [size=\"121799680\", alpha=\"0.00\", expect_size=\"48719872\"] \n  31 -> 35 [size =\"48719872\"]\n  32 [size=\"36034560\", alpha=\"0.14\", expect_size=\"14413824\"] \n  33 [size=\"36748800\", alpha=\"0.10\", expect_size=\"14699520\"] \n  33 -> 34 [size =\"14699520\"]\n  34 [size=\"39746560\", alpha=\"0.02\", expect_size=\"15898624\"] \n  34 -> 37 [size =\"15898624\"]\n  35 [size=\"20285440\", alpha=\"0.15\", expect_size=\"8114176\"] \n  35 -> 36 [size =\"8114176\"]\n  36 [size=\"74882560\", alpha=\"0.09\", expect_size=\"29953024\"] \n  36 -> 38 [size =\"29953024\"]\n  36 -> 39 [size =\"29953024\"]\n  37 [size=\"30120960\", alpha=\"0.18\", expect_size=\"12048384\"] \n  38 [size=\"20352000\", alpha=\"0.19\", expect_size=\"8140800\"] \n  38 -> 41 [size =\"8140800\"]\n  39 [size=\"114844160\", alpha=\"0.15\", expect_size=\"45937664\"] \n  39 -> 40 [size =\"45937664\"]\n  40 [size=\"35998720\", alpha=\"0.12\", expect_size=\"14399488\"] \n  40 -> 42 [size =\"14399488\"]\n  40 -> 43 [size =\"14399488\"]\n  41 [size=\"99100160\", alpha=\"0.17\", expect_size=\"39640064\"] \n  42 [size=\"100382720\", alpha=\"0.02\", expect_size=\"40153088\"] \n  42 -> 44 [size =\"40153088\"]\n  42 -> 45 [size =\"40153088\"]\n  43 [size=\"64611840\", alpha=\"0.03\", expect_size=\"25844736\"] \n  43 -> 46 [size =\"25844736\"]\n  44 [size=\"125148160\", alpha=\"0.03\", expect_size=\"50059264\"] \n  44 -> 47 [size =\"50059264\"]\n  44 -> 48 [size =\"50059264\"]\n  44 -> 49 [size =\"50059264\"]\n  45 [size=\"21928960\", alpha=\"0.09\", expect_size=\"8771584\"] \n  45 -> 47 [size =\"8771584\"]\n  46 [size=\"111482880\", alpha=\"0.11\", expect_size=\"44593152\"] \n  46 -> 48 [size =\"44593152\"]\n  47 [size=\"49003520\", alpha=\"0.07\", expect_size=\"19601408\"] \n  48 [size=\"39610880\", alpha=\"0.15\", expect_size=\"15844352\"] \n  49 [size=\"34716160\", alpha=\"0.06\", expect_size=\"13886464\"] \n  49 -> 50 [size =\"13886464\"]\n  50 [size=\"120734720\", alpha=\"0.09\", expect_size=\"48293888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.293.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55808000\", alpha=\"0.06\", expect_size=\"16742400\"] \n  1 -> 8 [size =\"16742400\"]\n  2 [size=\"45557760\", alpha=\"0.04\", expect_size=\"13667328\"] \n  2 -> 5 [size =\"13667328\"]\n  3 [size=\"149469867\", alpha=\"0.18\", expect_size=\"44840960\"] \n  3 -> 5 [size =\"44840960\"]\n  3 -> 6 [size =\"44840960\"]\n  3 -> 7 [size =\"44840960\"]\n  3 -> 8 [size =\"44840960\"]\n  4 [size=\"63371947\", alpha=\"0.15\", expect_size=\"19011584\"] \n  4 -> 6 [size =\"19011584\"]\n  4 -> 6 [size =\"19011584\"]\n  4 -> 8 [size =\"19011584\"]\n  5 [size=\"45813760\", alpha=\"0.02\", expect_size=\"13744128\"] \n  5 -> 9 [size =\"13744128\"]\n  5 -> 10 [size =\"13744128\"]\n  5 -> 11 [size =\"13744128\"]\n  6 [size=\"155313493\", alpha=\"0.05\", expect_size=\"46594048\"] \n  6 -> 10 [size =\"46594048\"]\n  6 -> 11 [size =\"46594048\"]\n  7 [size=\"107717973\", alpha=\"0.07\", expect_size=\"32315392\"] \n  8 [size=\"61651627\", alpha=\"0.19\", expect_size=\"18495488\"] \n  9 [size=\"45813760\", alpha=\"0.11\", expect_size=\"13744128\"] \n  10 [size=\"141131093\", alpha=\"0.18\", expect_size=\"42339328\"] \n  10 -> 12 [size =\"42339328\"]\n  10 -> 13 [size =\"42339328\"]\n  11 [size=\"167222613\", alpha=\"0.12\", expect_size=\"50166784\"] \n  12 [size=\"60033707\", alpha=\"0.17\", expect_size=\"18010112\"] \n  12 -> 14 [size =\"18010112\"]\n  12 -> 16 [size =\"18010112\"]\n  13 [size=\"89231360\", alpha=\"0.10\", expect_size=\"26769408\"] \n  13 -> 15 [size =\"26769408\"]\n  13 -> 16 [size =\"26769408\"]\n  14 [size=\"71738027\", alpha=\"0.01\", expect_size=\"21521408\"] \n  14 -> 17 [size =\"21521408\"]\n  15 [size=\"31074987\", alpha=\"0.04\", expect_size=\"9322496\"] \n  16 [size=\"47339520\", alpha=\"0.10\", expect_size=\"14201856\"] \n  17 [size=\"84585813\", alpha=\"0.10\", expect_size=\"25375744\"] \n  17 -> 18 [size =\"25375744\"]\n  18 [size=\"141175467\", alpha=\"0.16\", expect_size=\"42352640\"] \n  18 -> 19 [size =\"42352640\"]\n  18 -> 20 [size =\"42352640\"]\n  18 -> 21 [size =\"42352640\"]\n  19 [size=\"132317867\", alpha=\"0.13\", expect_size=\"39695360\"] \n  20 [size=\"61788160\", alpha=\"0.11\", expect_size=\"18536448\"] \n  20 -> 22 [size =\"18536448\"]\n  20 -> 24 [size =\"18536448\"]\n  21 [size=\"45233493\", alpha=\"0.14\", expect_size=\"13570048\"] \n  21 -> 23 [size =\"13570048\"]\n  22 [size=\"140987733\", alpha=\"0.20\", expect_size=\"42296320\"] \n  23 [size=\"115961173\", alpha=\"0.03\", expect_size=\"34788352\"] \n  23 -> 25 [size =\"34788352\"]\n  24 [size=\"39936000\", alpha=\"0.12\", expect_size=\"11980800\"] \n  25 [size=\"45745493\", alpha=\"0.04\", expect_size=\"13723648\"] \n  25 -> 26 [size =\"13723648\"]\n  25 -> 27 [size =\"13723648\"]\n  25 -> 28 [size =\"13723648\"]\n  26 [size=\"75605333\", alpha=\"0.14\", expect_size=\"22681600\"] \n  26 -> 30 [size =\"22681600\"]\n  27 [size=\"153524907\", alpha=\"0.16\", expect_size=\"46057472\"] \n  27 -> 29 [size =\"46057472\"]\n  28 [size=\"78042453\", alpha=\"0.03\", expect_size=\"23412736\"] \n  28 -> 29 [size =\"23412736\"]\n  29 [size=\"49111040\", alpha=\"0.14\", expect_size=\"14733312\"] \n  30 [size=\"151947947\", alpha=\"0.00\", expect_size=\"45584384\"] \n  30 -> 31 [size =\"45584384\"]\n  30 -> 32 [size =\"45584384\"]\n  30 -> 33 [size =\"45584384\"]\n  31 [size=\"80390827\", alpha=\"0.06\", expect_size=\"24117248\"] \n  31 -> 34 [size =\"24117248\"]\n  31 -> 35 [size =\"24117248\"]\n  31 -> 37 [size =\"24117248\"]\n  32 [size=\"30064640\", alpha=\"0.16\", expect_size=\"9019392\"] \n  32 -> 34 [size =\"9019392\"]\n  32 -> 37 [size =\"9019392\"]\n  33 [size=\"29050880\", alpha=\"0.16\", expect_size=\"8715264\"] \n  33 -> 36 [size =\"8715264\"]\n  34 [size=\"52053333\", alpha=\"0.03\", expect_size=\"15616000\"] \n  34 -> 39 [size =\"15616000\"]\n  35 [size=\"144977920\", alpha=\"0.12\", expect_size=\"43493376\"] \n  35 -> 38 [size =\"43493376\"]\n  36 [size=\"21589333\", alpha=\"0.05\", expect_size=\"6476800\"] \n  36 -> 38 [size =\"6476800\"]\n  36 -> 40 [size =\"6476800\"]\n  37 [size=\"134297600\", alpha=\"0.05\", expect_size=\"40289280\"] \n  37 -> 39 [size =\"40289280\"]\n  37 -> 40 [size =\"40289280\"]\n  38 [size=\"101485227\", alpha=\"0.02\", expect_size=\"30445568\"] \n  39 [size=\"124613973\", alpha=\"0.14\", expect_size=\"37384192\"] \n  39 -> 42 [size =\"37384192\"]\n  40 [size=\"74745173\", alpha=\"0.10\", expect_size=\"22423552\"] \n  40 -> 41 [size =\"22423552\"]\n  40 -> 42 [size =\"22423552\"]\n  40 -> 43 [size =\"22423552\"]\n  41 [size=\"75530240\", alpha=\"0.11\", expect_size=\"22659072\"] \n  41 -> 44 [size =\"22659072\"]\n  41 -> 45 [size =\"22659072\"]\n  42 [size=\"119432533\", alpha=\"0.07\", expect_size=\"35829760\"] \n  42 -> 46 [size =\"35829760\"]\n  43 [size=\"91723093\", alpha=\"0.16\", expect_size=\"27516928\"] \n  43 -> 45 [size =\"27516928\"]\n  44 [size=\"64160427\", alpha=\"0.07\", expect_size=\"19248128\"] \n  45 [size=\"91006293\", alpha=\"0.03\", expect_size=\"27301888\"] \n  46 [size=\"28579840\", alpha=\"0.05\", expect_size=\"8573952\"] \n  46 -> 47 [size =\"8573952\"]\n  47 [size=\"64027307\", alpha=\"0.05\", expect_size=\"19208192\"] \n  47 -> 48 [size =\"19208192\"]\n  47 -> 49 [size =\"19208192\"]\n  48 [size=\"107171840\", alpha=\"0.12\", expect_size=\"32151552\"] \n  48 -> 50 [size =\"32151552\"]\n  49 [size=\"124433067\", alpha=\"0.04\", expect_size=\"37329920\"] \n  50 [size=\"73362773\", alpha=\"0.13\", expect_size=\"22008832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.294.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111915520\", alpha=\"0.05\", expect_size=\"44766208\"] \n  1 -> 8 [size =\"44766208\"]\n  1 -> 12 [size =\"44766208\"]\n  2 [size=\"25315840\", alpha=\"0.10\", expect_size=\"10126336\"] \n  2 -> 8 [size =\"10126336\"]\n  2 -> 11 [size =\"10126336\"]\n  3 [size=\"17203200\", alpha=\"0.20\", expect_size=\"6881280\"] \n  3 -> 11 [size =\"6881280\"]\n  4 [size=\"83066880\", alpha=\"0.10\", expect_size=\"33226752\"] \n  4 -> 9 [size =\"33226752\"]\n  4 -> 12 [size =\"33226752\"]\n  5 [size=\"119390720\", alpha=\"0.15\", expect_size=\"47756288\"] \n  5 -> 9 [size =\"47756288\"]\n  5 -> 10 [size =\"47756288\"]\n  5 -> 11 [size =\"47756288\"]\n  5 -> 12 [size =\"47756288\"]\n  6 [size=\"123407360\", alpha=\"0.13\", expect_size=\"49362944\"] \n  6 -> 8 [size =\"49362944\"]\n  6 -> 9 [size =\"49362944\"]\n  6 -> 10 [size =\"49362944\"]\n  7 [size=\"45534720\", alpha=\"0.12\", expect_size=\"18213888\"] \n  7 -> 9 [size =\"18213888\"]\n  7 -> 10 [size =\"18213888\"]\n  7 -> 11 [size =\"18213888\"]\n  8 [size=\"64757760\", alpha=\"0.03\", expect_size=\"25903104\"] \n  8 -> 13 [size =\"25903104\"]\n  8 -> 15 [size =\"25903104\"]\n  8 -> 16 [size =\"25903104\"]\n  9 [size=\"90362880\", alpha=\"0.03\", expect_size=\"36145152\"] \n  9 -> 17 [size =\"36145152\"]\n  10 [size=\"39308800\", alpha=\"0.01\", expect_size=\"15723520\"] \n  10 -> 15 [size =\"15723520\"]\n  10 -> 16 [size =\"15723520\"]\n  11 [size=\"14656000\", alpha=\"0.17\", expect_size=\"5862400\"] \n  11 -> 14 [size =\"5862400\"]\n  12 [size=\"41830400\", alpha=\"0.05\", expect_size=\"16732160\"] \n  12 -> 16 [size =\"16732160\"]\n  12 -> 17 [size =\"16732160\"]\n  13 [size=\"101767680\", alpha=\"0.15\", expect_size=\"40707072\"] \n  13 -> 19 [size =\"40707072\"]\n  13 -> 21 [size =\"40707072\"]\n  14 [size=\"98900480\", alpha=\"0.10\", expect_size=\"39560192\"] \n  14 -> 19 [size =\"39560192\"]\n  14 -> 21 [size =\"39560192\"]\n  15 [size=\"39639040\", alpha=\"0.07\", expect_size=\"15855616\"] \n  15 -> 18 [size =\"15855616\"]\n  16 [size=\"126254080\", alpha=\"0.11\", expect_size=\"50501632\"] \n  16 -> 18 [size =\"50501632\"]\n  16 -> 19 [size =\"50501632\"]\n  16 -> 20 [size =\"50501632\"]\n  17 [size=\"85780480\", alpha=\"0.13\", expect_size=\"34312192\"] \n  17 -> 21 [size =\"34312192\"]\n  18 [size=\"37386240\", alpha=\"0.19\", expect_size=\"14954496\"] \n  18 -> 22 [size =\"14954496\"]\n  18 -> 23 [size =\"14954496\"]\n  18 -> 24 [size =\"14954496\"]\n  18 -> 26 [size =\"14954496\"]\n  18 -> 27 [size =\"14954496\"]\n  19 [size=\"56640000\", alpha=\"0.09\", expect_size=\"22656000\"] \n  19 -> 23 [size =\"22656000\"]\n  19 -> 25 [size =\"22656000\"]\n  19 -> 26 [size =\"22656000\"]\n  20 [size=\"76741120\", alpha=\"0.12\", expect_size=\"30696448\"] \n  20 -> 22 [size =\"30696448\"]\n  20 -> 23 [size =\"30696448\"]\n  20 -> 24 [size =\"30696448\"]\n  20 -> 26 [size =\"30696448\"]\n  20 -> 28 [size =\"30696448\"]\n  21 [size=\"80529920\", alpha=\"0.11\", expect_size=\"32211968\"] \n  21 -> 22 [size =\"32211968\"]\n  21 -> 25 [size =\"32211968\"]\n  21 -> 28 [size =\"32211968\"]\n  22 [size=\"60738560\", alpha=\"0.12\", expect_size=\"24295424\"] \n  22 -> 29 [size =\"24295424\"]\n  22 -> 32 [size =\"24295424\"]\n  22 -> 33 [size =\"24295424\"]\n  22 -> 34 [size =\"24295424\"]\n  22 -> 35 [size =\"24295424\"]\n  23 [size=\"87674880\", alpha=\"0.15\", expect_size=\"35069952\"] \n  23 -> 29 [size =\"35069952\"]\n  23 -> 30 [size =\"35069952\"]\n  23 -> 32 [size =\"35069952\"]\n  24 [size=\"60221440\", alpha=\"0.08\", expect_size=\"24088576\"] \n  24 -> 34 [size =\"24088576\"]\n  25 [size=\"120537600\", alpha=\"0.00\", expect_size=\"48215040\"] \n  25 -> 34 [size =\"48215040\"]\n  25 -> 35 [size =\"48215040\"]\n  26 [size=\"44019200\", alpha=\"0.11\", expect_size=\"17607680\"] \n  26 -> 30 [size =\"17607680\"]\n  26 -> 34 [size =\"17607680\"]\n  27 [size=\"110533120\", alpha=\"0.07\", expect_size=\"44213248\"] \n  27 -> 29 [size =\"44213248\"]\n  27 -> 31 [size =\"44213248\"]\n  28 [size=\"69959680\", alpha=\"0.12\", expect_size=\"27983872\"] \n  28 -> 29 [size =\"27983872\"]\n  28 -> 31 [size =\"27983872\"]\n  29 [size=\"62727680\", alpha=\"0.10\", expect_size=\"25091072\"] \n  29 -> 37 [size =\"25091072\"]\n  29 -> 39 [size =\"25091072\"]\n  30 [size=\"117573120\", alpha=\"0.12\", expect_size=\"47029248\"] \n  30 -> 40 [size =\"47029248\"]\n  30 -> 42 [size =\"47029248\"]\n  30 -> 43 [size =\"47029248\"]\n  31 [size=\"69424640\", alpha=\"0.15\", expect_size=\"27769856\"] \n  31 -> 36 [size =\"27769856\"]\n  31 -> 38 [size =\"27769856\"]\n  31 -> 40 [size =\"27769856\"]\n  32 [size=\"17093120\", alpha=\"0.03\", expect_size=\"6837248\"] \n  32 -> 43 [size =\"6837248\"]\n  33 [size=\"90754560\", alpha=\"0.05\", expect_size=\"36301824\"] \n  33 -> 37 [size =\"36301824\"]\n  33 -> 38 [size =\"36301824\"]\n  33 -> 42 [size =\"36301824\"]\n  34 [size=\"58572800\", alpha=\"0.02\", expect_size=\"23429120\"] \n  34 -> 36 [size =\"23429120\"]\n  34 -> 37 [size =\"23429120\"]\n  34 -> 39 [size =\"23429120\"]\n  34 -> 40 [size =\"23429120\"]\n  34 -> 41 [size =\"23429120\"]\n  35 [size=\"108477440\", alpha=\"0.04\", expect_size=\"43390976\"] \n  35 -> 37 [size =\"43390976\"]\n  35 -> 37 [size =\"43390976\"]\n  35 -> 39 [size =\"43390976\"]\n  35 -> 41 [size =\"43390976\"]\n  35 -> 42 [size =\"43390976\"]\n  35 -> 43 [size =\"43390976\"]\n  36 [size=\"110822400\", alpha=\"0.05\", expect_size=\"44328960\"] \n  36 -> 45 [size =\"44328960\"]\n  36 -> 47 [size =\"44328960\"]\n  36 -> 49 [size =\"44328960\"]\n  36 -> 49 [size =\"44328960\"]\n  37 [size=\"57943040\", alpha=\"0.18\", expect_size=\"23177216\"] \n  37 -> 47 [size =\"23177216\"]\n  37 -> 50 [size =\"23177216\"]\n  38 [size=\"100236800\", alpha=\"0.15\", expect_size=\"40094720\"] \n  38 -> 45 [size =\"40094720\"]\n  38 -> 46 [size =\"40094720\"]\n  38 -> 49 [size =\"40094720\"]\n  38 -> 50 [size =\"40094720\"]\n  39 [size=\"53419520\", alpha=\"0.00\", expect_size=\"21367808\"] \n  40 [size=\"112719360\", alpha=\"0.15\", expect_size=\"45087744\"] \n  40 -> 44 [size =\"45087744\"]\n  40 -> 45 [size =\"45087744\"]\n  40 -> 46 [size =\"45087744\"]\n  40 -> 49 [size =\"45087744\"]\n  41 [size=\"68405760\", alpha=\"0.02\", expect_size=\"27362304\"] \n  41 -> 50 [size =\"27362304\"]\n  42 [size=\"39994880\", alpha=\"0.17\", expect_size=\"15997952\"] \n  42 -> 48 [size =\"15997952\"]\n  42 -> 50 [size =\"15997952\"]\n  43 [size=\"56212480\", alpha=\"0.05\", expect_size=\"22484992\"] \n  43 -> 44 [size =\"22484992\"]\n  43 -> 45 [size =\"22484992\"]\n  43 -> 46 [size =\"22484992\"]\n  43 -> 49 [size =\"22484992\"]\n  43 -> 50 [size =\"22484992\"]\n  44 [size=\"87751680\", alpha=\"0.00\", expect_size=\"35100672\"] \n  45 [size=\"102443520\", alpha=\"0.14\", expect_size=\"40977408\"] \n  46 [size=\"126824960\", alpha=\"0.13\", expect_size=\"50729984\"] \n  47 [size=\"38113280\", alpha=\"0.09\", expect_size=\"15245312\"] \n  48 [size=\"26944000\", alpha=\"0.14\", expect_size=\"10777600\"] \n  49 [size=\"117601280\", alpha=\"0.08\", expect_size=\"47040512\"] \n  50 [size=\"117690880\", alpha=\"0.19\", expect_size=\"47076352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.295.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63920640\", alpha=\"0.02\", expect_size=\"25568256\"] \n  1 -> 12 [size =\"25568256\"]\n  1 -> 16 [size =\"25568256\"]\n  1 -> 18 [size =\"25568256\"]\n  2 [size=\"57425920\", alpha=\"0.09\", expect_size=\"22970368\"] \n  2 -> 16 [size =\"22970368\"]\n  2 -> 17 [size =\"22970368\"]\n  2 -> 18 [size =\"22970368\"]\n  3 [size=\"100741120\", alpha=\"0.14\", expect_size=\"40296448\"] \n  3 -> 12 [size =\"40296448\"]\n  3 -> 17 [size =\"40296448\"]\n  3 -> 18 [size =\"40296448\"]\n  3 -> 19 [size =\"40296448\"]\n  4 [size=\"84357120\", alpha=\"0.19\", expect_size=\"33742848\"] \n  4 -> 12 [size =\"33742848\"]\n  4 -> 15 [size =\"33742848\"]\n  4 -> 17 [size =\"33742848\"]\n  4 -> 19 [size =\"33742848\"]\n  5 [size=\"110986240\", alpha=\"0.12\", expect_size=\"44394496\"] \n  5 -> 12 [size =\"44394496\"]\n  5 -> 15 [size =\"44394496\"]\n  5 -> 16 [size =\"44394496\"]\n  5 -> 17 [size =\"44394496\"]\n  6 [size=\"49704960\", alpha=\"0.19\", expect_size=\"19881984\"] \n  6 -> 12 [size =\"19881984\"]\n  6 -> 13 [size =\"19881984\"]\n  6 -> 18 [size =\"19881984\"]\n  7 [size=\"87011840\", alpha=\"0.03\", expect_size=\"34804736\"] \n  7 -> 12 [size =\"34804736\"]\n  7 -> 17 [size =\"34804736\"]\n  8 [size=\"24819200\", alpha=\"0.09\", expect_size=\"9927680\"] \n  8 -> 19 [size =\"9927680\"]\n  9 [size=\"43197440\", alpha=\"0.20\", expect_size=\"17278976\"] \n  9 -> 14 [size =\"17278976\"]\n  9 -> 18 [size =\"17278976\"]\n  10 [size=\"76915200\", alpha=\"0.17\", expect_size=\"30766080\"] \n  11 [size=\"34685440\", alpha=\"0.17\", expect_size=\"13874176\"] \n  11 -> 12 [size =\"13874176\"]\n  11 -> 17 [size =\"13874176\"]\n  11 -> 18 [size =\"13874176\"]\n  12 [size=\"43793920\", alpha=\"0.16\", expect_size=\"17517568\"] \n  12 -> 23 [size =\"17517568\"]\n  12 -> 28 [size =\"17517568\"]\n  12 -> 29 [size =\"17517568\"]\n  12 -> 30 [size =\"17517568\"]\n  12 -> 31 [size =\"17517568\"]\n  12 -> 33 [size =\"17517568\"]\n  12 -> 34 [size =\"17517568\"]\n  12 -> 37 [size =\"17517568\"]\n  12 -> 39 [size =\"17517568\"]\n  13 [size=\"98224640\", alpha=\"0.14\", expect_size=\"39289856\"] \n  13 -> 22 [size =\"39289856\"]\n  13 -> 24 [size =\"39289856\"]\n  13 -> 27 [size =\"39289856\"]\n  13 -> 29 [size =\"39289856\"]\n  13 -> 32 [size =\"39289856\"]\n  13 -> 33 [size =\"39289856\"]\n  13 -> 38 [size =\"39289856\"]\n  14 [size=\"61534720\", alpha=\"0.05\", expect_size=\"24613888\"] \n  14 -> 24 [size =\"24613888\"]\n  14 -> 25 [size =\"24613888\"]\n  14 -> 29 [size =\"24613888\"]\n  14 -> 30 [size =\"24613888\"]\n  15 [size=\"55211520\", alpha=\"0.17\", expect_size=\"22084608\"] \n  15 -> 23 [size =\"22084608\"]\n  15 -> 26 [size =\"22084608\"]\n  15 -> 27 [size =\"22084608\"]\n  15 -> 31 [size =\"22084608\"]\n  15 -> 33 [size =\"22084608\"]\n  15 -> 36 [size =\"22084608\"]\n  16 [size=\"127902720\", alpha=\"0.07\", expect_size=\"51161088\"] \n  16 -> 23 [size =\"51161088\"]\n  16 -> 26 [size =\"51161088\"]\n  16 -> 29 [size =\"51161088\"]\n  16 -> 31 [size =\"51161088\"]\n  16 -> 37 [size =\"51161088\"]\n  17 [size=\"119808000\", alpha=\"0.01\", expect_size=\"47923200\"] \n  17 -> 20 [size =\"47923200\"]\n  17 -> 21 [size =\"47923200\"]\n  17 -> 23 [size =\"47923200\"]\n  17 -> 38 [size =\"47923200\"]\n  18 [size=\"19668480\", alpha=\"0.04\", expect_size=\"7867392\"] \n  18 -> 21 [size =\"7867392\"]\n  18 -> 21 [size =\"7867392\"]\n  18 -> 23 [size =\"7867392\"]\n  18 -> 24 [size =\"7867392\"]\n  18 -> 25 [size =\"7867392\"]\n  18 -> 26 [size =\"7867392\"]\n  18 -> 27 [size =\"7867392\"]\n  18 -> 30 [size =\"7867392\"]\n  18 -> 31 [size =\"7867392\"]\n  18 -> 35 [size =\"7867392\"]\n  18 -> 37 [size =\"7867392\"]\n  19 [size=\"73758720\", alpha=\"0.05\", expect_size=\"29503488\"] \n  19 -> 21 [size =\"29503488\"]\n  19 -> 24 [size =\"29503488\"]\n  19 -> 25 [size =\"29503488\"]\n  19 -> 28 [size =\"29503488\"]\n  19 -> 29 [size =\"29503488\"]\n  19 -> 33 [size =\"29503488\"]\n  19 -> 34 [size =\"29503488\"]\n  20 [size=\"72007680\", alpha=\"0.07\", expect_size=\"28803072\"] \n  20 -> 41 [size =\"28803072\"]\n  20 -> 44 [size =\"28803072\"]\n  20 -> 47 [size =\"28803072\"]\n  20 -> 50 [size =\"28803072\"]\n  21 [size=\"51745280\", alpha=\"0.17\", expect_size=\"20698112\"] \n  21 -> 43 [size =\"20698112\"]\n  21 -> 44 [size =\"20698112\"]\n  21 -> 46 [size =\"20698112\"]\n  21 -> 47 [size =\"20698112\"]\n  21 -> 49 [size =\"20698112\"]\n  22 [size=\"35676160\", alpha=\"0.15\", expect_size=\"14270464\"] \n  22 -> 44 [size =\"14270464\"]\n  22 -> 44 [size =\"14270464\"]\n  22 -> 47 [size =\"14270464\"]\n  22 -> 48 [size =\"14270464\"]\n  23 [size=\"130572800\", alpha=\"0.07\", expect_size=\"52229120\"] \n  23 -> 42 [size =\"52229120\"]\n  23 -> 46 [size =\"52229120\"]\n  23 -> 50 [size =\"52229120\"]\n  24 [size=\"97838080\", alpha=\"0.12\", expect_size=\"39135232\"] \n  24 -> 43 [size =\"39135232\"]\n  24 -> 47 [size =\"39135232\"]\n  24 -> 49 [size =\"39135232\"]\n  25 [size=\"124930560\", alpha=\"0.13\", expect_size=\"49972224\"] \n  25 -> 40 [size =\"49972224\"]\n  25 -> 41 [size =\"49972224\"]\n  25 -> 46 [size =\"49972224\"]\n  25 -> 47 [size =\"49972224\"]\n  25 -> 49 [size =\"49972224\"]\n  26 [size=\"105909760\", alpha=\"0.01\", expect_size=\"42363904\"] \n  26 -> 41 [size =\"42363904\"]\n  26 -> 46 [size =\"42363904\"]\n  26 -> 47 [size =\"42363904\"]\n  27 [size=\"31580160\", alpha=\"0.01\", expect_size=\"12632064\"] \n  27 -> 41 [size =\"12632064\"]\n  27 -> 46 [size =\"12632064\"]\n  27 -> 49 [size =\"12632064\"]\n  27 -> 50 [size =\"12632064\"]\n  28 [size=\"35151360\", alpha=\"0.03\", expect_size=\"14060544\"] \n  28 -> 41 [size =\"14060544\"]\n  28 -> 46 [size =\"14060544\"]\n  28 -> 49 [size =\"14060544\"]\n  29 [size=\"59333120\", alpha=\"0.10\", expect_size=\"23733248\"] \n  29 -> 40 [size =\"23733248\"]\n  29 -> 49 [size =\"23733248\"]\n  29 -> 49 [size =\"23733248\"]\n  29 -> 50 [size =\"23733248\"]\n  30 [size=\"88542720\", alpha=\"0.08\", expect_size=\"35417088\"] \n  30 -> 44 [size =\"35417088\"]\n  30 -> 46 [size =\"35417088\"]\n  30 -> 50 [size =\"35417088\"]\n  31 [size=\"127424000\", alpha=\"0.09\", expect_size=\"50969600\"] \n  31 -> 43 [size =\"50969600\"]\n  31 -> 44 [size =\"50969600\"]\n  31 -> 46 [size =\"50969600\"]\n  31 -> 50 [size =\"50969600\"]\n  32 [size=\"108828160\", alpha=\"0.16\", expect_size=\"43531264\"] \n  32 -> 44 [size =\"43531264\"]\n  32 -> 49 [size =\"43531264\"]\n  32 -> 50 [size =\"43531264\"]\n  33 [size=\"77073920\", alpha=\"0.18\", expect_size=\"30829568\"] \n  33 -> 43 [size =\"30829568\"]\n  33 -> 49 [size =\"30829568\"]\n  34 [size=\"119795200\", alpha=\"0.07\", expect_size=\"47918080\"] \n  34 -> 40 [size =\"47918080\"]\n  34 -> 45 [size =\"47918080\"]\n  34 -> 49 [size =\"47918080\"]\n  35 [size=\"72317440\", alpha=\"0.04\", expect_size=\"28926976\"] \n  36 [size=\"32519680\", alpha=\"0.20\", expect_size=\"13007872\"] \n  36 -> 43 [size =\"13007872\"]\n  36 -> 44 [size =\"13007872\"]\n  36 -> 46 [size =\"13007872\"]\n  36 -> 47 [size =\"13007872\"]\n  37 [size=\"36999680\", alpha=\"0.14\", expect_size=\"14799872\"] \n  37 -> 46 [size =\"14799872\"]\n  38 [size=\"41699840\", alpha=\"0.09\", expect_size=\"16679936\"] \n  38 -> 40 [size =\"16679936\"]\n  38 -> 44 [size =\"16679936\"]\n  38 -> 47 [size =\"16679936\"]\n  39 [size=\"58337280\", alpha=\"0.15\", expect_size=\"23334912\"] \n  39 -> 42 [size =\"23334912\"]\n  39 -> 44 [size =\"23334912\"]\n  40 [size=\"117002240\", alpha=\"0.10\", expect_size=\"46800896\"] \n  41 [size=\"45573120\", alpha=\"0.12\", expect_size=\"18229248\"] \n  42 [size=\"101557760\", alpha=\"0.18\", expect_size=\"40623104\"] \n  43 [size=\"79718400\", alpha=\"0.04\", expect_size=\"31887360\"] \n  44 [size=\"65172480\", alpha=\"0.04\", expect_size=\"26068992\"] \n  45 [size=\"106344960\", alpha=\"0.03\", expect_size=\"42537984\"] \n  46 [size=\"127380480\", alpha=\"0.18\", expect_size=\"50952192\"] \n  47 [size=\"125107200\", alpha=\"0.16\", expect_size=\"50042880\"] \n  48 [size=\"88261120\", alpha=\"0.18\", expect_size=\"35304448\"] \n  49 [size=\"23411200\", alpha=\"0.07\", expect_size=\"9364480\"] \n  50 [size=\"109168640\", alpha=\"0.10\", expect_size=\"43667456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.296.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36085760\", alpha=\"0.01\", expect_size=\"14434304\"] \n  1 -> 4 [size =\"14434304\"]\n  2 [size=\"63275520\", alpha=\"0.02\", expect_size=\"25310208\"] \n  2 -> 4 [size =\"25310208\"]\n  3 [size=\"86430720\", alpha=\"0.20\", expect_size=\"34572288\"] \n  3 -> 5 [size =\"34572288\"]\n  4 [size=\"96061440\", alpha=\"0.10\", expect_size=\"38424576\"] \n  4 -> 6 [size =\"38424576\"]\n  4 -> 7 [size =\"38424576\"]\n  4 -> 8 [size =\"38424576\"]\n  5 [size=\"22028800\", alpha=\"0.16\", expect_size=\"8811520\"] \n  5 -> 6 [size =\"8811520\"]\n  5 -> 8 [size =\"8811520\"]\n  6 [size=\"58270720\", alpha=\"0.02\", expect_size=\"23308288\"] \n  6 -> 9 [size =\"23308288\"]\n  6 -> 10 [size =\"23308288\"]\n  7 [size=\"55441920\", alpha=\"0.15\", expect_size=\"22176768\"] \n  8 [size=\"87810560\", alpha=\"0.15\", expect_size=\"35124224\"] \n  8 -> 9 [size =\"35124224\"]\n  9 [size=\"55119360\", alpha=\"0.03\", expect_size=\"22047744\"] \n  9 -> 11 [size =\"22047744\"]\n  9 -> 12 [size =\"22047744\"]\n  10 [size=\"21099520\", alpha=\"0.13\", expect_size=\"8439808\"] \n  10 -> 11 [size =\"8439808\"]\n  10 -> 12 [size =\"8439808\"]\n  11 [size=\"98560000\", alpha=\"0.14\", expect_size=\"39424000\"] \n  11 -> 13 [size =\"39424000\"]\n  11 -> 15 [size =\"39424000\"]\n  12 [size=\"105600000\", alpha=\"0.17\", expect_size=\"42240000\"] \n  12 -> 13 [size =\"42240000\"]\n  12 -> 14 [size =\"42240000\"]\n  13 [size=\"116359680\", alpha=\"0.05\", expect_size=\"46543872\"] \n  13 -> 16 [size =\"46543872\"]\n  13 -> 17 [size =\"46543872\"]\n  14 [size=\"114037760\", alpha=\"0.10\", expect_size=\"45615104\"] \n  14 -> 17 [size =\"45615104\"]\n  14 -> 17 [size =\"45615104\"]\n  15 [size=\"53998080\", alpha=\"0.14\", expect_size=\"21599232\"] \n  16 [size=\"28380160\", alpha=\"0.18\", expect_size=\"11352064\"] \n  16 -> 19 [size =\"11352064\"]\n  16 -> 20 [size =\"11352064\"]\n  17 [size=\"39400960\", alpha=\"0.03\", expect_size=\"15760384\"] \n  17 -> 18 [size =\"15760384\"]\n  17 -> 19 [size =\"15760384\"]\n  17 -> 20 [size =\"15760384\"]\n  18 [size=\"126407680\", alpha=\"0.04\", expect_size=\"50563072\"] \n  18 -> 22 [size =\"50563072\"]\n  19 [size=\"96314880\", alpha=\"0.14\", expect_size=\"38525952\"] \n  19 -> 22 [size =\"38525952\"]\n  20 [size=\"111536640\", alpha=\"0.17\", expect_size=\"44614656\"] \n  20 -> 21 [size =\"44614656\"]\n  21 [size=\"70656000\", alpha=\"0.05\", expect_size=\"28262400\"] \n  21 -> 23 [size =\"28262400\"]\n  21 -> 24 [size =\"28262400\"]\n  22 [size=\"37491200\", alpha=\"0.01\", expect_size=\"14996480\"] \n  22 -> 23 [size =\"14996480\"]\n  22 -> 24 [size =\"14996480\"]\n  22 -> 25 [size =\"14996480\"]\n  23 [size=\"20866560\", alpha=\"0.09\", expect_size=\"8346624\"] \n  24 [size=\"49602560\", alpha=\"0.11\", expect_size=\"19841024\"] \n  24 -> 26 [size =\"19841024\"]\n  24 -> 27 [size =\"19841024\"]\n  25 [size=\"108789760\", alpha=\"0.15\", expect_size=\"43515904\"] \n  25 -> 26 [size =\"43515904\"]\n  26 [size=\"75169280\", alpha=\"0.06\", expect_size=\"30067712\"] \n  26 -> 28 [size =\"30067712\"]\n  26 -> 30 [size =\"30067712\"]\n  27 [size=\"64972800\", alpha=\"0.05\", expect_size=\"25989120\"] \n  27 -> 28 [size =\"25989120\"]\n  27 -> 29 [size =\"25989120\"]\n  28 [size=\"85401600\", alpha=\"0.16\", expect_size=\"34160640\"] \n  28 -> 31 [size =\"34160640\"]\n  28 -> 32 [size =\"34160640\"]\n  29 [size=\"107330560\", alpha=\"0.15\", expect_size=\"42932224\"] \n  29 -> 32 [size =\"42932224\"]\n  30 [size=\"72207360\", alpha=\"0.14\", expect_size=\"28882944\"] \n  30 -> 32 [size =\"28882944\"]\n  31 [size=\"57118720\", alpha=\"0.09\", expect_size=\"22847488\"] \n  31 -> 34 [size =\"22847488\"]\n  31 -> 35 [size =\"22847488\"]\n  32 [size=\"85043200\", alpha=\"0.19\", expect_size=\"34017280\"] \n  32 -> 33 [size =\"34017280\"]\n  32 -> 34 [size =\"34017280\"]\n  32 -> 35 [size =\"34017280\"]\n  33 [size=\"88184320\", alpha=\"0.06\", expect_size=\"35273728\"] \n  33 -> 36 [size =\"35273728\"]\n  33 -> 37 [size =\"35273728\"]\n  34 [size=\"21908480\", alpha=\"0.11\", expect_size=\"8763392\"] \n  35 [size=\"87132160\", alpha=\"0.02\", expect_size=\"34852864\"] \n  35 -> 36 [size =\"34852864\"]\n  35 -> 38 [size =\"34852864\"]\n  36 [size=\"56847360\", alpha=\"0.16\", expect_size=\"22738944\"] \n  36 -> 39 [size =\"22738944\"]\n  37 [size=\"94187520\", alpha=\"0.15\", expect_size=\"37675008\"] \n  37 -> 39 [size =\"37675008\"]\n  37 -> 40 [size =\"37675008\"]\n  38 [size=\"123517440\", alpha=\"0.13\", expect_size=\"49406976\"] \n  38 -> 39 [size =\"49406976\"]\n  38 -> 40 [size =\"49406976\"]\n  39 [size=\"101583360\", alpha=\"0.05\", expect_size=\"40633344\"] \n  39 -> 41 [size =\"40633344\"]\n  39 -> 42 [size =\"40633344\"]\n  40 [size=\"70394880\", alpha=\"0.13\", expect_size=\"28157952\"] \n  40 -> 41 [size =\"28157952\"]\n  40 -> 43 [size =\"28157952\"]\n  41 [size=\"37946880\", alpha=\"0.11\", expect_size=\"15178752\"] \n  41 -> 45 [size =\"15178752\"]\n  42 [size=\"89689600\", alpha=\"0.14\", expect_size=\"35875840\"] \n  42 -> 44 [size =\"35875840\"]\n  42 -> 45 [size =\"35875840\"]\n  42 -> 46 [size =\"35875840\"]\n  43 [size=\"82191360\", alpha=\"0.18\", expect_size=\"32876544\"] \n  43 -> 45 [size =\"32876544\"]\n  43 -> 46 [size =\"32876544\"]\n  44 [size=\"118704640\", alpha=\"0.08\", expect_size=\"47481856\"] \n  44 -> 47 [size =\"47481856\"]\n  44 -> 48 [size =\"47481856\"]\n  45 [size=\"64230400\", alpha=\"0.14\", expect_size=\"25692160\"] \n  45 -> 49 [size =\"25692160\"]\n  46 [size=\"77626880\", alpha=\"0.10\", expect_size=\"31050752\"] \n  46 -> 49 [size =\"31050752\"]\n  47 [size=\"56204800\", alpha=\"0.16\", expect_size=\"22481920\"] \n  47 -> 50 [size =\"22481920\"]\n  48 [size=\"26255360\", alpha=\"0.14\", expect_size=\"10502144\"] \n  48 -> 50 [size =\"10502144\"]\n  49 [size=\"101081600\", alpha=\"0.07\", expect_size=\"40432640\"] \n  49 -> 50 [size =\"40432640\"]\n  50 [size=\"127964160\", alpha=\"0.11\", expect_size=\"51185664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.297.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78138027\", alpha=\"0.15\", expect_size=\"23441408\"] \n  1 -> 2 [size =\"23441408\"]\n  2 [size=\"70539947\", alpha=\"0.17\", expect_size=\"21161984\"] \n  2 -> 3 [size =\"21161984\"]\n  3 [size=\"154361173\", alpha=\"0.02\", expect_size=\"46308352\"] \n  3 -> 4 [size =\"46308352\"]\n  4 [size=\"19787093\", alpha=\"0.01\", expect_size=\"5936128\"] \n  4 -> 5 [size =\"5936128\"]\n  5 [size=\"77489493\", alpha=\"0.02\", expect_size=\"23246848\"] \n  5 -> 6 [size =\"23246848\"]\n  6 [size=\"44905813\", alpha=\"0.00\", expect_size=\"13471744\"] \n  6 -> 7 [size =\"13471744\"]\n  7 [size=\"173588480\", alpha=\"0.02\", expect_size=\"52076544\"] \n  7 -> 8 [size =\"52076544\"]\n  8 [size=\"35621547\", alpha=\"0.16\", expect_size=\"10686464\"] \n  8 -> 9 [size =\"10686464\"]\n  9 [size=\"23398400\", alpha=\"0.19\", expect_size=\"7019520\"] \n  9 -> 10 [size =\"7019520\"]\n  10 [size=\"135577600\", alpha=\"0.16\", expect_size=\"40673280\"] \n  10 -> 11 [size =\"40673280\"]\n  11 [size=\"74144427\", alpha=\"0.19\", expect_size=\"22243328\"] \n  11 -> 12 [size =\"22243328\"]\n  12 [size=\"37341867\", alpha=\"0.15\", expect_size=\"11202560\"] \n  12 -> 13 [size =\"11202560\"]\n  13 [size=\"170277547\", alpha=\"0.12\", expect_size=\"51083264\"] \n  13 -> 14 [size =\"51083264\"]\n  14 [size=\"28262400\", alpha=\"0.05\", expect_size=\"8478720\"] \n  14 -> 15 [size =\"8478720\"]\n  15 [size=\"37642240\", alpha=\"0.08\", expect_size=\"11292672\"] \n  15 -> 16 [size =\"11292672\"]\n  16 [size=\"49926827\", alpha=\"0.05\", expect_size=\"14978048\"] \n  16 -> 17 [size =\"14978048\"]\n  17 [size=\"52790613\", alpha=\"0.17\", expect_size=\"15837184\"] \n  17 -> 18 [size =\"15837184\"]\n  18 [size=\"72369493\", alpha=\"0.20\", expect_size=\"21710848\"] \n  18 -> 19 [size =\"21710848\"]\n  19 [size=\"41038507\", alpha=\"0.09\", expect_size=\"12311552\"] \n  19 -> 20 [size =\"12311552\"]\n  20 [size=\"34153813\", alpha=\"0.17\", expect_size=\"10246144\"] \n  20 -> 21 [size =\"10246144\"]\n  21 [size=\"157583360\", alpha=\"0.12\", expect_size=\"47275008\"] \n  21 -> 22 [size =\"47275008\"]\n  22 [size=\"148541440\", alpha=\"0.14\", expect_size=\"44562432\"] \n  22 -> 23 [size =\"44562432\"]\n  23 [size=\"110151680\", alpha=\"0.14\", expect_size=\"33045504\"] \n  23 -> 24 [size =\"33045504\"]\n  24 [size=\"46704640\", alpha=\"0.14\", expect_size=\"14011392\"] \n  24 -> 25 [size =\"14011392\"]\n  25 [size=\"86326613\", alpha=\"0.02\", expect_size=\"25897984\"] \n  25 -> 26 [size =\"25897984\"]\n  26 [size=\"151978667\", alpha=\"0.13\", expect_size=\"45593600\"] \n  26 -> 27 [size =\"45593600\"]\n  27 [size=\"36334933\", alpha=\"0.04\", expect_size=\"10900480\"] \n  27 -> 28 [size =\"10900480\"]\n  28 [size=\"170881707\", alpha=\"0.17\", expect_size=\"51264512\"] \n  28 -> 29 [size =\"51264512\"]\n  29 [size=\"167277227\", alpha=\"0.11\", expect_size=\"50183168\"] \n  29 -> 30 [size =\"50183168\"]\n  30 [size=\"80626347\", alpha=\"0.20\", expect_size=\"24187904\"] \n  30 -> 31 [size =\"24187904\"]\n  31 [size=\"55050240\", alpha=\"0.16\", expect_size=\"16515072\"] \n  31 -> 32 [size =\"16515072\"]\n  32 [size=\"151220907\", alpha=\"0.15\", expect_size=\"45366272\"] \n  32 -> 33 [size =\"45366272\"]\n  33 [size=\"107622400\", alpha=\"0.13\", expect_size=\"32286720\"] \n  33 -> 34 [size =\"32286720\"]\n  34 [size=\"61146453\", alpha=\"0.12\", expect_size=\"18343936\"] \n  34 -> 35 [size =\"18343936\"]\n  35 [size=\"171386880\", alpha=\"0.14\", expect_size=\"51416064\"] \n  35 -> 36 [size =\"51416064\"]\n  36 [size=\"26504533\", alpha=\"0.00\", expect_size=\"7951360\"] \n  36 -> 37 [size =\"7951360\"]\n  37 [size=\"125781333\", alpha=\"0.11\", expect_size=\"37734400\"] \n  37 -> 38 [size =\"37734400\"]\n  38 [size=\"153473707\", alpha=\"0.09\", expect_size=\"46042112\"] \n  38 -> 39 [size =\"46042112\"]\n  39 [size=\"127726933\", alpha=\"0.10\", expect_size=\"38318080\"] \n  39 -> 40 [size =\"38318080\"]\n  40 [size=\"54466560\", alpha=\"0.12\", expect_size=\"16339968\"] \n  40 -> 41 [size =\"16339968\"]\n  41 [size=\"51793920\", alpha=\"0.13\", expect_size=\"15538176\"] \n  41 -> 42 [size =\"15538176\"]\n  42 [size=\"19097600\", alpha=\"0.10\", expect_size=\"5729280\"] \n  42 -> 43 [size =\"5729280\"]\n  43 [size=\"133522773\", alpha=\"0.19\", expect_size=\"40056832\"] \n  43 -> 44 [size =\"40056832\"]\n  44 [size=\"76018347\", alpha=\"0.12\", expect_size=\"22805504\"] \n  44 -> 45 [size =\"22805504\"]\n  45 [size=\"171943253\", alpha=\"0.14\", expect_size=\"51582976\"] \n  45 -> 46 [size =\"51582976\"]\n  46 [size=\"126897493\", alpha=\"0.12\", expect_size=\"38069248\"] \n  46 -> 47 [size =\"38069248\"]\n  47 [size=\"130618027\", alpha=\"0.13\", expect_size=\"39185408\"] \n  47 -> 48 [size =\"39185408\"]\n  48 [size=\"61132800\", alpha=\"0.14\", expect_size=\"18339840\"] \n  48 -> 49 [size =\"18339840\"]\n  49 [size=\"130624853\", alpha=\"0.13\", expect_size=\"39187456\"] \n  49 -> 50 [size =\"39187456\"]\n  50 [size=\"48090453\", alpha=\"0.01\", expect_size=\"14427136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.298.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76456960\", alpha=\"0.05\", expect_size=\"30582784\"] \n  1 -> 15 [size =\"30582784\"]\n  1 -> 19 [size =\"30582784\"]\n  1 -> 22 [size =\"30582784\"]\n  1 -> 23 [size =\"30582784\"]\n  1 -> 24 [size =\"30582784\"]\n  1 -> 26 [size =\"30582784\"]\n  1 -> 27 [size =\"30582784\"]\n  1 -> 29 [size =\"30582784\"]\n  2 [size=\"30617600\", alpha=\"0.09\", expect_size=\"12247040\"] \n  2 -> 19 [size =\"12247040\"]\n  2 -> 21 [size =\"12247040\"]\n  2 -> 22 [size =\"12247040\"]\n  2 -> 23 [size =\"12247040\"]\n  2 -> 24 [size =\"12247040\"]\n  3 [size=\"48834560\", alpha=\"0.12\", expect_size=\"19533824\"] \n  3 -> 15 [size =\"19533824\"]\n  3 -> 23 [size =\"19533824\"]\n  3 -> 24 [size =\"19533824\"]\n  3 -> 26 [size =\"19533824\"]\n  3 -> 28 [size =\"19533824\"]\n  4 [size=\"121454080\", alpha=\"0.14\", expect_size=\"48581632\"] \n  4 -> 17 [size =\"48581632\"]\n  4 -> 19 [size =\"48581632\"]\n  4 -> 28 [size =\"48581632\"]\n  5 [size=\"63121920\", alpha=\"0.16\", expect_size=\"25248768\"] \n  5 -> 15 [size =\"25248768\"]\n  5 -> 16 [size =\"25248768\"]\n  5 -> 17 [size =\"25248768\"]\n  5 -> 19 [size =\"25248768\"]\n  5 -> 23 [size =\"25248768\"]\n  5 -> 25 [size =\"25248768\"]\n  5 -> 26 [size =\"25248768\"]\n  5 -> 28 [size =\"25248768\"]\n  6 [size=\"46942720\", alpha=\"0.05\", expect_size=\"18777088\"] \n  6 -> 16 [size =\"18777088\"]\n  6 -> 17 [size =\"18777088\"]\n  6 -> 17 [size =\"18777088\"]\n  6 -> 18 [size =\"18777088\"]\n  6 -> 19 [size =\"18777088\"]\n  6 -> 23 [size =\"18777088\"]\n  6 -> 25 [size =\"18777088\"]\n  6 -> 26 [size =\"18777088\"]\n  6 -> 28 [size =\"18777088\"]\n  6 -> 29 [size =\"18777088\"]\n  7 [size=\"54384640\", alpha=\"0.01\", expect_size=\"21753856\"] \n  7 -> 16 [size =\"21753856\"]\n  7 -> 22 [size =\"21753856\"]\n  7 -> 25 [size =\"21753856\"]\n  7 -> 28 [size =\"21753856\"]\n  8 [size=\"129036800\", alpha=\"0.13\", expect_size=\"51614720\"] \n  8 -> 16 [size =\"51614720\"]\n  8 -> 20 [size =\"51614720\"]\n  8 -> 22 [size =\"51614720\"]\n  8 -> 25 [size =\"51614720\"]\n  8 -> 26 [size =\"51614720\"]\n  9 [size=\"109719040\", alpha=\"0.04\", expect_size=\"43887616\"] \n  9 -> 15 [size =\"43887616\"]\n  9 -> 16 [size =\"43887616\"]\n  9 -> 19 [size =\"43887616\"]\n  9 -> 20 [size =\"43887616\"]\n  9 -> 23 [size =\"43887616\"]\n  9 -> 24 [size =\"43887616\"]\n  9 -> 25 [size =\"43887616\"]\n  10 [size=\"43322880\", alpha=\"0.17\", expect_size=\"17329152\"] \n  10 -> 15 [size =\"17329152\"]\n  10 -> 16 [size =\"17329152\"]\n  10 -> 19 [size =\"17329152\"]\n  10 -> 24 [size =\"17329152\"]\n  10 -> 25 [size =\"17329152\"]\n  10 -> 28 [size =\"17329152\"]\n  11 [size=\"109816320\", alpha=\"0.14\", expect_size=\"43926528\"] \n  11 -> 16 [size =\"43926528\"]\n  11 -> 16 [size =\"43926528\"]\n  11 -> 22 [size =\"43926528\"]\n  11 -> 23 [size =\"43926528\"]\n  11 -> 24 [size =\"43926528\"]\n  11 -> 25 [size =\"43926528\"]\n  11 -> 26 [size =\"43926528\"]\n  11 -> 28 [size =\"43926528\"]\n  12 [size=\"20679680\", alpha=\"0.10\", expect_size=\"8271872\"] \n  12 -> 15 [size =\"8271872\"]\n  12 -> 17 [size =\"8271872\"]\n  12 -> 20 [size =\"8271872\"]\n  12 -> 22 [size =\"8271872\"]\n  12 -> 24 [size =\"8271872\"]\n  12 -> 25 [size =\"8271872\"]\n  12 -> 26 [size =\"8271872\"]\n  12 -> 28 [size =\"8271872\"]\n  13 [size=\"76180480\", alpha=\"0.17\", expect_size=\"30472192\"] \n  13 -> 15 [size =\"30472192\"]\n  13 -> 19 [size =\"30472192\"]\n  13 -> 20 [size =\"30472192\"]\n  13 -> 22 [size =\"30472192\"]\n  13 -> 23 [size =\"30472192\"]\n  13 -> 24 [size =\"30472192\"]\n  13 -> 25 [size =\"30472192\"]\n  13 -> 26 [size =\"30472192\"]\n  13 -> 28 [size =\"30472192\"]\n  14 [size=\"28736000\", alpha=\"0.06\", expect_size=\"11494400\"] \n  14 -> 15 [size =\"11494400\"]\n  14 -> 16 [size =\"11494400\"]\n  14 -> 17 [size =\"11494400\"]\n  14 -> 19 [size =\"11494400\"]\n  14 -> 20 [size =\"11494400\"]\n  14 -> 24 [size =\"11494400\"]\n  14 -> 26 [size =\"11494400\"]\n  14 -> 26 [size =\"11494400\"]\n  14 -> 27 [size =\"11494400\"]\n  14 -> 28 [size =\"11494400\"]\n  14 -> 29 [size =\"11494400\"]\n  15 [size=\"111918080\", alpha=\"0.10\", expect_size=\"44767232\"] \n  15 -> 32 [size =\"44767232\"]\n  15 -> 33 [size =\"44767232\"]\n  15 -> 36 [size =\"44767232\"]\n  15 -> 37 [size =\"44767232\"]\n  15 -> 38 [size =\"44767232\"]\n  15 -> 39 [size =\"44767232\"]\n  15 -> 41 [size =\"44767232\"]\n  15 -> 43 [size =\"44767232\"]\n  16 [size=\"85565440\", alpha=\"0.20\", expect_size=\"34226176\"] \n  16 -> 32 [size =\"34226176\"]\n  16 -> 36 [size =\"34226176\"]\n  16 -> 37 [size =\"34226176\"]\n  17 [size=\"115996160\", alpha=\"0.08\", expect_size=\"46398464\"] \n  17 -> 32 [size =\"46398464\"]\n  17 -> 38 [size =\"46398464\"]\n  17 -> 39 [size =\"46398464\"]\n  17 -> 42 [size =\"46398464\"]\n  17 -> 44 [size =\"46398464\"]\n  17 -> 45 [size =\"46398464\"]\n  18 [size=\"119526400\", alpha=\"0.16\", expect_size=\"47810560\"] \n  18 -> 30 [size =\"47810560\"]\n  18 -> 32 [size =\"47810560\"]\n  18 -> 37 [size =\"47810560\"]\n  19 [size=\"76206080\", alpha=\"0.05\", expect_size=\"30482432\"] \n  19 -> 30 [size =\"30482432\"]\n  19 -> 32 [size =\"30482432\"]\n  19 -> 34 [size =\"30482432\"]\n  19 -> 37 [size =\"30482432\"]\n  19 -> 44 [size =\"30482432\"]\n  19 -> 45 [size =\"30482432\"]\n  20 [size=\"97733120\", alpha=\"0.04\", expect_size=\"39093248\"] \n  20 -> 30 [size =\"39093248\"]\n  20 -> 34 [size =\"39093248\"]\n  20 -> 37 [size =\"39093248\"]\n  20 -> 43 [size =\"39093248\"]\n  20 -> 44 [size =\"39093248\"]\n  20 -> 45 [size =\"39093248\"]\n  21 [size=\"79006720\", alpha=\"0.14\", expect_size=\"31602688\"] \n  21 -> 30 [size =\"31602688\"]\n  21 -> 43 [size =\"31602688\"]\n  22 [size=\"43809280\", alpha=\"0.06\", expect_size=\"17523712\"] \n  22 -> 30 [size =\"17523712\"]\n  22 -> 35 [size =\"17523712\"]\n  22 -> 36 [size =\"17523712\"]\n  22 -> 43 [size =\"17523712\"]\n  22 -> 45 [size =\"17523712\"]\n  23 [size=\"99873280\", alpha=\"0.05\", expect_size=\"39949312\"] \n  23 -> 30 [size =\"39949312\"]\n  23 -> 37 [size =\"39949312\"]\n  23 -> 39 [size =\"39949312\"]\n  23 -> 43 [size =\"39949312\"]\n  24 [size=\"83950080\", alpha=\"0.02\", expect_size=\"33580032\"] \n  24 -> 30 [size =\"33580032\"]\n  24 -> 33 [size =\"33580032\"]\n  24 -> 37 [size =\"33580032\"]\n  24 -> 39 [size =\"33580032\"]\n  24 -> 45 [size =\"33580032\"]\n  25 [size=\"121986560\", alpha=\"0.08\", expect_size=\"48794624\"] \n  25 -> 32 [size =\"48794624\"]\n  25 -> 33 [size =\"48794624\"]\n  25 -> 34 [size =\"48794624\"]\n  25 -> 36 [size =\"48794624\"]\n  26 [size=\"65157120\", alpha=\"0.19\", expect_size=\"26062848\"] \n  26 -> 30 [size =\"26062848\"]\n  26 -> 32 [size =\"26062848\"]\n  26 -> 34 [size =\"26062848\"]\n  26 -> 36 [size =\"26062848\"]\n  26 -> 37 [size =\"26062848\"]\n  26 -> 39 [size =\"26062848\"]\n  26 -> 43 [size =\"26062848\"]\n  27 [size=\"63429120\", alpha=\"0.18\", expect_size=\"25371648\"] \n  27 -> 30 [size =\"25371648\"]\n  27 -> 32 [size =\"25371648\"]\n  27 -> 36 [size =\"25371648\"]\n  27 -> 37 [size =\"25371648\"]\n  27 -> 38 [size =\"25371648\"]\n  27 -> 43 [size =\"25371648\"]\n  27 -> 45 [size =\"25371648\"]\n  28 [size=\"107668480\", alpha=\"0.16\", expect_size=\"43067392\"] \n  28 -> 31 [size =\"43067392\"]\n  28 -> 32 [size =\"43067392\"]\n  28 -> 33 [size =\"43067392\"]\n  28 -> 36 [size =\"43067392\"]\n  28 -> 40 [size =\"43067392\"]\n  28 -> 45 [size =\"43067392\"]\n  29 [size=\"85504000\", alpha=\"0.10\", expect_size=\"34201600\"] \n  29 -> 30 [size =\"34201600\"]\n  29 -> 31 [size =\"34201600\"]\n  29 -> 32 [size =\"34201600\"]\n  29 -> 34 [size =\"34201600\"]\n  29 -> 36 [size =\"34201600\"]\n  29 -> 38 [size =\"34201600\"]\n  29 -> 39 [size =\"34201600\"]\n  29 -> 44 [size =\"34201600\"]\n  29 -> 45 [size =\"34201600\"]\n  30 [size=\"114145280\", alpha=\"0.09\", expect_size=\"45658112\"] \n  30 -> 46 [size =\"45658112\"]\n  30 -> 48 [size =\"45658112\"]\n  30 -> 50 [size =\"45658112\"]\n  31 [size=\"18959360\", alpha=\"0.05\", expect_size=\"7583744\"] \n  31 -> 48 [size =\"7583744\"]\n  32 [size=\"99225600\", alpha=\"0.03\", expect_size=\"39690240\"] \n  33 [size=\"18560000\", alpha=\"0.10\", expect_size=\"7424000\"] \n  33 -> 49 [size =\"7424000\"]\n  34 [size=\"48619520\", alpha=\"0.01\", expect_size=\"19447808\"] \n  34 -> 48 [size =\"19447808\"]\n  34 -> 50 [size =\"19447808\"]\n  35 [size=\"61826560\", alpha=\"0.08\", expect_size=\"24730624\"] \n  35 -> 48 [size =\"24730624\"]\n  35 -> 50 [size =\"24730624\"]\n  36 [size=\"108195840\", alpha=\"0.08\", expect_size=\"43278336\"] \n  36 -> 48 [size =\"43278336\"]\n  37 [size=\"103600640\", alpha=\"0.05\", expect_size=\"41440256\"] \n  37 -> 48 [size =\"41440256\"]\n  38 [size=\"89315840\", alpha=\"0.20\", expect_size=\"35726336\"] \n  38 -> 48 [size =\"35726336\"]\n  38 -> 50 [size =\"35726336\"]\n  39 [size=\"63311360\", alpha=\"0.06\", expect_size=\"25324544\"] \n  39 -> 48 [size =\"25324544\"]\n  40 [size=\"122199040\", alpha=\"0.06\", expect_size=\"48879616\"] \n  40 -> 46 [size =\"48879616\"]\n  40 -> 48 [size =\"48879616\"]\n  41 [size=\"60267520\", alpha=\"0.17\", expect_size=\"24107008\"] \n  41 -> 47 [size =\"24107008\"]\n  42 [size=\"92190720\", alpha=\"0.14\", expect_size=\"36876288\"] \n  42 -> 48 [size =\"36876288\"]\n  43 [size=\"107578880\", alpha=\"0.05\", expect_size=\"43031552\"] \n  44 [size=\"51540480\", alpha=\"0.08\", expect_size=\"20616192\"] \n  44 -> 48 [size =\"20616192\"]\n  45 [size=\"57669120\", alpha=\"0.10\", expect_size=\"23067648\"] \n  45 -> 46 [size =\"23067648\"]\n  46 [size=\"106816000\", alpha=\"0.00\", expect_size=\"42726400\"] \n  47 [size=\"35504640\", alpha=\"0.19\", expect_size=\"14201856\"] \n  48 [size=\"64596480\", alpha=\"0.14\", expect_size=\"25838592\"] \n  49 [size=\"64578560\", alpha=\"0.02\", expect_size=\"25831424\"] \n  50 [size=\"98554880\", alpha=\"0.06\", expect_size=\"39421952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.299.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81254400\", alpha=\"0.09\", expect_size=\"24376320\"] \n  1 -> 13 [size =\"24376320\"]\n  1 -> 16 [size =\"24376320\"]\n  1 -> 17 [size =\"24376320\"]\n  1 -> 21 [size =\"24376320\"]\n  1 -> 22 [size =\"24376320\"]\n  1 -> 24 [size =\"24376320\"]\n  2 [size=\"55077547\", alpha=\"0.03\", expect_size=\"16523264\"] \n  2 -> 15 [size =\"16523264\"]\n  2 -> 17 [size =\"16523264\"]\n  2 -> 17 [size =\"16523264\"]\n  2 -> 18 [size =\"16523264\"]\n  2 -> 19 [size =\"16523264\"]\n  2 -> 21 [size =\"16523264\"]\n  2 -> 22 [size =\"16523264\"]\n  2 -> 23 [size =\"16523264\"]\n  3 [size=\"146862080\", alpha=\"0.08\", expect_size=\"44058624\"] \n  3 -> 18 [size =\"44058624\"]\n  3 -> 19 [size =\"44058624\"]\n  3 -> 21 [size =\"44058624\"]\n  3 -> 24 [size =\"44058624\"]\n  4 [size=\"99764907\", alpha=\"0.13\", expect_size=\"29929472\"] \n  4 -> 13 [size =\"29929472\"]\n  4 -> 17 [size =\"29929472\"]\n  4 -> 18 [size =\"29929472\"]\n  4 -> 19 [size =\"29929472\"]\n  4 -> 22 [size =\"29929472\"]\n  4 -> 23 [size =\"29929472\"]\n  4 -> 24 [size =\"29929472\"]\n  5 [size=\"141547520\", alpha=\"0.03\", expect_size=\"42464256\"] \n  5 -> 12 [size =\"42464256\"]\n  5 -> 14 [size =\"42464256\"]\n  5 -> 19 [size =\"42464256\"]\n  6 [size=\"35211947\", alpha=\"0.17\", expect_size=\"10563584\"] \n  6 -> 12 [size =\"10563584\"]\n  6 -> 19 [size =\"10563584\"]\n  6 -> 21 [size =\"10563584\"]\n  6 -> 23 [size =\"10563584\"]\n  7 [size=\"58156373\", alpha=\"0.20\", expect_size=\"17446912\"] \n  7 -> 12 [size =\"17446912\"]\n  7 -> 16 [size =\"17446912\"]\n  7 -> 19 [size =\"17446912\"]\n  7 -> 21 [size =\"17446912\"]\n  8 [size=\"87545173\", alpha=\"0.01\", expect_size=\"26263552\"] \n  8 -> 16 [size =\"26263552\"]\n  8 -> 20 [size =\"26263552\"]\n  8 -> 21 [size =\"26263552\"]\n  9 [size=\"18964480\", alpha=\"0.08\", expect_size=\"5689344\"] \n  9 -> 13 [size =\"5689344\"]\n  9 -> 14 [size =\"5689344\"]\n  9 -> 15 [size =\"5689344\"]\n  9 -> 16 [size =\"5689344\"]\n  9 -> 17 [size =\"5689344\"]\n  9 -> 18 [size =\"5689344\"]\n  9 -> 21 [size =\"5689344\"]\n  9 -> 22 [size =\"5689344\"]\n  9 -> 23 [size =\"5689344\"]\n  10 [size=\"43417600\", alpha=\"0.04\", expect_size=\"13025280\"] \n  10 -> 13 [size =\"13025280\"]\n  10 -> 15 [size =\"13025280\"]\n  10 -> 24 [size =\"13025280\"]\n  11 [size=\"154436267\", alpha=\"0.20\", expect_size=\"46330880\"] \n  11 -> 13 [size =\"46330880\"]\n  11 -> 15 [size =\"46330880\"]\n  11 -> 17 [size =\"46330880\"]\n  11 -> 21 [size =\"46330880\"]\n  11 -> 24 [size =\"46330880\"]\n  12 [size=\"70888107\", alpha=\"0.08\", expect_size=\"21266432\"] \n  12 -> 25 [size =\"21266432\"]\n  12 -> 27 [size =\"21266432\"]\n  12 -> 29 [size =\"21266432\"]\n  12 -> 33 [size =\"21266432\"]\n  12 -> 38 [size =\"21266432\"]\n  13 [size=\"93334187\", alpha=\"0.12\", expect_size=\"28000256\"] \n  13 -> 25 [size =\"28000256\"]\n  13 -> 28 [size =\"28000256\"]\n  13 -> 29 [size =\"28000256\"]\n  13 -> 32 [size =\"28000256\"]\n  13 -> 33 [size =\"28000256\"]\n  13 -> 41 [size =\"28000256\"]\n  14 [size=\"156866560\", alpha=\"0.11\", expect_size=\"47059968\"] \n  14 -> 25 [size =\"47059968\"]\n  14 -> 29 [size =\"47059968\"]\n  14 -> 31 [size =\"47059968\"]\n  14 -> 32 [size =\"47059968\"]\n  14 -> 33 [size =\"47059968\"]\n  14 -> 34 [size =\"47059968\"]\n  14 -> 35 [size =\"47059968\"]\n  14 -> 40 [size =\"47059968\"]\n  15 [size=\"98454187\", alpha=\"0.15\", expect_size=\"29536256\"] \n  15 -> 26 [size =\"29536256\"]\n  15 -> 27 [size =\"29536256\"]\n  15 -> 29 [size =\"29536256\"]\n  15 -> 31 [size =\"29536256\"]\n  15 -> 32 [size =\"29536256\"]\n  15 -> 33 [size =\"29536256\"]\n  15 -> 34 [size =\"29536256\"]\n  15 -> 38 [size =\"29536256\"]\n  15 -> 40 [size =\"29536256\"]\n  15 -> 41 [size =\"29536256\"]\n  16 [size=\"124900693\", alpha=\"0.08\", expect_size=\"37470208\"] \n  16 -> 26 [size =\"37470208\"]\n  16 -> 27 [size =\"37470208\"]\n  16 -> 29 [size =\"37470208\"]\n  16 -> 33 [size =\"37470208\"]\n  16 -> 35 [size =\"37470208\"]\n  16 -> 39 [size =\"37470208\"]\n  16 -> 41 [size =\"37470208\"]\n  17 [size=\"104843947\", alpha=\"0.00\", expect_size=\"31453184\"] \n  17 -> 30 [size =\"31453184\"]\n  17 -> 32 [size =\"31453184\"]\n  17 -> 33 [size =\"31453184\"]\n  17 -> 38 [size =\"31453184\"]\n  17 -> 39 [size =\"31453184\"]\n  18 [size=\"104253440\", alpha=\"0.17\", expect_size=\"31276032\"] \n  18 -> 25 [size =\"31276032\"]\n  18 -> 27 [size =\"31276032\"]\n  18 -> 39 [size =\"31276032\"]\n  19 [size=\"109298347\", alpha=\"0.19\", expect_size=\"32789504\"] \n  19 -> 25 [size =\"32789504\"]\n  19 -> 26 [size =\"32789504\"]\n  19 -> 30 [size =\"32789504\"]\n  19 -> 32 [size =\"32789504\"]\n  19 -> 35 [size =\"32789504\"]\n  19 -> 38 [size =\"32789504\"]\n  19 -> 39 [size =\"32789504\"]\n  19 -> 41 [size =\"32789504\"]\n  20 [size=\"18718720\", alpha=\"0.07\", expect_size=\"5615616\"] \n  20 -> 25 [size =\"5615616\"]\n  20 -> 26 [size =\"5615616\"]\n  20 -> 31 [size =\"5615616\"]\n  20 -> 32 [size =\"5615616\"]\n  20 -> 33 [size =\"5615616\"]\n  20 -> 37 [size =\"5615616\"]\n  21 [size=\"48523947\", alpha=\"0.03\", expect_size=\"14557184\"] \n  21 -> 33 [size =\"14557184\"]\n  21 -> 35 [size =\"14557184\"]\n  21 -> 39 [size =\"14557184\"]\n  22 [size=\"47418027\", alpha=\"0.04\", expect_size=\"14225408\"] \n  22 -> 25 [size =\"14225408\"]\n  22 -> 27 [size =\"14225408\"]\n  22 -> 29 [size =\"14225408\"]\n  22 -> 32 [size =\"14225408\"]\n  22 -> 33 [size =\"14225408\"]\n  22 -> 39 [size =\"14225408\"]\n  22 -> 41 [size =\"14225408\"]\n  23 [size=\"107055787\", alpha=\"0.02\", expect_size=\"32116736\"] \n  23 -> 25 [size =\"32116736\"]\n  23 -> 26 [size =\"32116736\"]\n  23 -> 29 [size =\"32116736\"]\n  23 -> 30 [size =\"32116736\"]\n  23 -> 32 [size =\"32116736\"]\n  23 -> 34 [size =\"32116736\"]\n  23 -> 38 [size =\"32116736\"]\n  23 -> 39 [size =\"32116736\"]\n  24 [size=\"43257173\", alpha=\"0.09\", expect_size=\"12977152\"] \n  24 -> 29 [size =\"12977152\"]\n  24 -> 32 [size =\"12977152\"]\n  24 -> 35 [size =\"12977152\"]\n  24 -> 36 [size =\"12977152\"]\n  24 -> 38 [size =\"12977152\"]\n  25 [size=\"127692800\", alpha=\"0.13\", expect_size=\"38307840\"] \n  25 -> 42 [size =\"38307840\"]\n  25 -> 43 [size =\"38307840\"]\n  25 -> 44 [size =\"38307840\"]\n  25 -> 45 [size =\"38307840\"]\n  25 -> 49 [size =\"38307840\"]\n  26 [size=\"90436267\", alpha=\"0.19\", expect_size=\"27130880\"] \n  26 -> 42 [size =\"27130880\"]\n  26 -> 44 [size =\"27130880\"]\n  26 -> 45 [size =\"27130880\"]\n  26 -> 46 [size =\"27130880\"]\n  26 -> 49 [size =\"27130880\"]\n  26 -> 50 [size =\"27130880\"]\n  27 [size=\"149732693\", alpha=\"0.10\", expect_size=\"44919808\"] \n  27 -> 42 [size =\"44919808\"]\n  27 -> 43 [size =\"44919808\"]\n  27 -> 45 [size =\"44919808\"]\n  27 -> 47 [size =\"44919808\"]\n  27 -> 49 [size =\"44919808\"]\n  28 [size=\"151487147\", alpha=\"0.10\", expect_size=\"45446144\"] \n  28 -> 42 [size =\"45446144\"]\n  28 -> 44 [size =\"45446144\"]\n  28 -> 45 [size =\"45446144\"]\n  28 -> 47 [size =\"45446144\"]\n  28 -> 48 [size =\"45446144\"]\n  28 -> 50 [size =\"45446144\"]\n  29 [size=\"131054933\", alpha=\"0.11\", expect_size=\"39316480\"] \n  29 -> 42 [size =\"39316480\"]\n  29 -> 43 [size =\"39316480\"]\n  29 -> 47 [size =\"39316480\"]\n  29 -> 47 [size =\"39316480\"]\n  29 -> 48 [size =\"39316480\"]\n  29 -> 50 [size =\"39316480\"]\n  30 [size=\"120217600\", alpha=\"0.14\", expect_size=\"36065280\"] \n  30 -> 42 [size =\"36065280\"]\n  30 -> 44 [size =\"36065280\"]\n  30 -> 47 [size =\"36065280\"]\n  30 -> 48 [size =\"36065280\"]\n  31 [size=\"173393920\", alpha=\"0.15\", expect_size=\"52018176\"] \n  31 -> 42 [size =\"52018176\"]\n  31 -> 43 [size =\"52018176\"]\n  31 -> 47 [size =\"52018176\"]\n  31 -> 49 [size =\"52018176\"]\n  32 [size=\"39792640\", alpha=\"0.03\", expect_size=\"11937792\"] \n  32 -> 42 [size =\"11937792\"]\n  32 -> 45 [size =\"11937792\"]\n  32 -> 47 [size =\"11937792\"]\n  32 -> 49 [size =\"11937792\"]\n  32 -> 50 [size =\"11937792\"]\n  33 [size=\"71581013\", alpha=\"0.00\", expect_size=\"21474304\"] \n  33 -> 43 [size =\"21474304\"]\n  33 -> 45 [size =\"21474304\"]\n  33 -> 46 [size =\"21474304\"]\n  33 -> 50 [size =\"21474304\"]\n  34 [size=\"83578880\", alpha=\"0.15\", expect_size=\"25073664\"] \n  34 -> 42 [size =\"25073664\"]\n  34 -> 45 [size =\"25073664\"]\n  34 -> 47 [size =\"25073664\"]\n  34 -> 49 [size =\"25073664\"]\n  34 -> 50 [size =\"25073664\"]\n  35 [size=\"158071467\", alpha=\"0.01\", expect_size=\"47421440\"] \n  35 -> 44 [size =\"47421440\"]\n  35 -> 45 [size =\"47421440\"]\n  36 [size=\"104567467\", alpha=\"0.20\", expect_size=\"31370240\"] \n  36 -> 43 [size =\"31370240\"]\n  36 -> 45 [size =\"31370240\"]\n  36 -> 49 [size =\"31370240\"]\n  36 -> 50 [size =\"31370240\"]\n  37 [size=\"98082133\", alpha=\"0.10\", expect_size=\"29424640\"] \n  37 -> 42 [size =\"29424640\"]\n  37 -> 44 [size =\"29424640\"]\n  37 -> 47 [size =\"29424640\"]\n  37 -> 49 [size =\"29424640\"]\n  37 -> 50 [size =\"29424640\"]\n  38 [size=\"22012587\", alpha=\"0.11\", expect_size=\"6603776\"] \n  38 -> 42 [size =\"6603776\"]\n  38 -> 43 [size =\"6603776\"]\n  38 -> 44 [size =\"6603776\"]\n  38 -> 47 [size =\"6603776\"]\n  38 -> 49 [size =\"6603776\"]\n  38 -> 50 [size =\"6603776\"]\n  39 [size=\"103717547\", alpha=\"0.04\", expect_size=\"31115264\"] \n  39 -> 44 [size =\"31115264\"]\n  39 -> 45 [size =\"31115264\"]\n  39 -> 47 [size =\"31115264\"]\n  39 -> 49 [size =\"31115264\"]\n  39 -> 50 [size =\"31115264\"]\n  39 -> 50 [size =\"31115264\"]\n  40 [size=\"30109013\", alpha=\"0.17\", expect_size=\"9032704\"] \n  40 -> 45 [size =\"9032704\"]\n  40 -> 50 [size =\"9032704\"]\n  41 [size=\"141707947\", alpha=\"0.14\", expect_size=\"42512384\"] \n  41 -> 43 [size =\"42512384\"]\n  41 -> 44 [size =\"42512384\"]\n  41 -> 45 [size =\"42512384\"]\n  41 -> 49 [size =\"42512384\"]\n  42 [size=\"103611733\", alpha=\"0.15\", expect_size=\"31083520\"] \n  43 [size=\"126525440\", alpha=\"0.07\", expect_size=\"37957632\"] \n  44 [size=\"129017173\", alpha=\"0.03\", expect_size=\"38705152\"] \n  45 [size=\"93194240\", alpha=\"0.12\", expect_size=\"27958272\"] \n  46 [size=\"100037973\", alpha=\"0.11\", expect_size=\"30011392\"] \n  47 [size=\"99689813\", alpha=\"0.07\", expect_size=\"29906944\"] \n  48 [size=\"22227627\", alpha=\"0.19\", expect_size=\"6668288\"] \n  49 [size=\"111714987\", alpha=\"0.06\", expect_size=\"33514496\"] \n  50 [size=\"145411413\", alpha=\"0.07\", expect_size=\"43623424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43707733\", alpha=\"0.11\", expect_size=\"13112320\"] \n  1 -> 3 [size =\"13112320\"]\n  1 -> 4 [size =\"13112320\"]\n  2 [size=\"67621547\", alpha=\"0.12\", expect_size=\"20286464\"] \n  3 [size=\"46493013\", alpha=\"0.03\", expect_size=\"13947904\"] \n  3 -> 5 [size =\"13947904\"]\n  4 [size=\"18015573\", alpha=\"0.08\", expect_size=\"5404672\"] \n  4 -> 6 [size =\"5404672\"]\n  4 -> 7 [size =\"5404672\"]\n  5 [size=\"109253973\", alpha=\"0.13\", expect_size=\"32776192\"] \n  5 -> 9 [size =\"32776192\"]\n  6 [size=\"103874560\", alpha=\"0.15\", expect_size=\"31162368\"] \n  7 [size=\"103628800\", alpha=\"0.19\", expect_size=\"31088640\"] \n  7 -> 8 [size =\"31088640\"]\n  7 -> 9 [size =\"31088640\"]\n  8 [size=\"111199573\", alpha=\"0.01\", expect_size=\"33359872\"] \n  8 -> 11 [size =\"33359872\"]\n  9 [size=\"100833280\", alpha=\"0.07\", expect_size=\"30249984\"] \n  9 -> 10 [size =\"30249984\"]\n  10 [size=\"168762027\", alpha=\"0.07\", expect_size=\"50628608\"] \n  10 -> 13 [size =\"50628608\"]\n  10 -> 14 [size =\"50628608\"]\n  11 [size=\"149964800\", alpha=\"0.19\", expect_size=\"44989440\"] \n  11 -> 12 [size =\"44989440\"]\n  12 [size=\"76731733\", alpha=\"0.13\", expect_size=\"23019520\"] \n  13 [size=\"168082773\", alpha=\"0.17\", expect_size=\"50424832\"] \n  13 -> 16 [size =\"50424832\"]\n  13 -> 17 [size =\"50424832\"]\n  14 [size=\"33515520\", alpha=\"0.04\", expect_size=\"10054656\"] \n  14 -> 15 [size =\"10054656\"]\n  14 -> 16 [size =\"10054656\"]\n  15 [size=\"93201067\", alpha=\"0.14\", expect_size=\"27960320\"] \n  15 -> 19 [size =\"27960320\"]\n  16 [size=\"40362667\", alpha=\"0.02\", expect_size=\"12108800\"] \n  16 -> 18 [size =\"12108800\"]\n  17 [size=\"160962560\", alpha=\"0.02\", expect_size=\"48288768\"] \n  17 -> 18 [size =\"48288768\"]\n  18 [size=\"149623467\", alpha=\"0.18\", expect_size=\"44887040\"] \n  18 -> 20 [size =\"44887040\"]\n  18 -> 21 [size =\"44887040\"]\n  19 [size=\"153999360\", alpha=\"0.08\", expect_size=\"46199808\"] \n  19 -> 22 [size =\"46199808\"]\n  20 [size=\"55425707\", alpha=\"0.03\", expect_size=\"16627712\"] \n  21 [size=\"107103573\", alpha=\"0.02\", expect_size=\"32131072\"] \n  22 [size=\"99310933\", alpha=\"0.07\", expect_size=\"29793280\"] \n  22 -> 23 [size =\"29793280\"]\n  22 -> 24 [size =\"29793280\"]\n  22 -> 25 [size =\"29793280\"]\n  23 [size=\"48083627\", alpha=\"0.16\", expect_size=\"14425088\"] \n  23 -> 26 [size =\"14425088\"]\n  24 [size=\"24497493\", alpha=\"0.05\", expect_size=\"7349248\"] \n  25 [size=\"59770880\", alpha=\"0.05\", expect_size=\"17931264\"] \n  25 -> 26 [size =\"17931264\"]\n  25 -> 27 [size =\"17931264\"]\n  26 [size=\"169045333\", alpha=\"0.17\", expect_size=\"50713600\"] \n  26 -> 29 [size =\"50713600\"]\n  27 [size=\"27258880\", alpha=\"0.20\", expect_size=\"8177664\"] \n  27 -> 28 [size =\"8177664\"]\n  28 [size=\"41004373\", alpha=\"0.14\", expect_size=\"12301312\"] \n  28 -> 30 [size =\"12301312\"]\n  28 -> 32 [size =\"12301312\"]\n  29 [size=\"23005867\", alpha=\"0.19\", expect_size=\"6901760\"] \n  29 -> 31 [size =\"6901760\"]\n  30 [size=\"84486827\", alpha=\"0.03\", expect_size=\"25346048\"] \n  31 [size=\"110018560\", alpha=\"0.04\", expect_size=\"33005568\"] \n  31 -> 33 [size =\"33005568\"]\n  31 -> 34 [size =\"33005568\"]\n  32 [size=\"125839360\", alpha=\"0.13\", expect_size=\"37751808\"] \n  33 [size=\"24808107\", alpha=\"0.01\", expect_size=\"7442432\"] \n  33 -> 36 [size =\"7442432\"]\n  34 [size=\"150507520\", alpha=\"0.11\", expect_size=\"45152256\"] \n  34 -> 35 [size =\"45152256\"]\n  34 -> 37 [size =\"45152256\"]\n  35 [size=\"31627947\", alpha=\"0.10\", expect_size=\"9488384\"] \n  35 -> 39 [size =\"9488384\"]\n  36 [size=\"74516480\", alpha=\"0.12\", expect_size=\"22354944\"] \n  36 -> 38 [size =\"22354944\"]\n  36 -> 40 [size =\"22354944\"]\n  37 [size=\"50998613\", alpha=\"0.13\", expect_size=\"15299584\"] \n  37 -> 39 [size =\"15299584\"]\n  37 -> 40 [size =\"15299584\"]\n  38 [size=\"47237120\", alpha=\"0.11\", expect_size=\"14171136\"] \n  38 -> 41 [size =\"14171136\"]\n  38 -> 42 [size =\"14171136\"]\n  39 [size=\"156955307\", alpha=\"0.05\", expect_size=\"47086592\"] \n  40 [size=\"148930560\", alpha=\"0.05\", expect_size=\"44679168\"] \n  40 -> 42 [size =\"44679168\"]\n  41 [size=\"174458880\", alpha=\"0.16\", expect_size=\"52337664\"] \n  42 [size=\"51456000\", alpha=\"0.17\", expect_size=\"15436800\"] \n  42 -> 43 [size =\"15436800\"]\n  42 -> 44 [size =\"15436800\"]\n  43 [size=\"153750187\", alpha=\"0.03\", expect_size=\"46125056\"] \n  44 [size=\"160092160\", alpha=\"0.09\", expect_size=\"48027648\"] \n  44 -> 45 [size =\"48027648\"]\n  44 -> 46 [size =\"48027648\"]\n  45 [size=\"86517760\", alpha=\"0.00\", expect_size=\"25955328\"] \n  45 -> 48 [size =\"25955328\"]\n  45 -> 49 [size =\"25955328\"]\n  46 [size=\"166045013\", alpha=\"0.11\", expect_size=\"49813504\"] \n  46 -> 47 [size =\"49813504\"]\n  47 [size=\"106984107\", alpha=\"0.03\", expect_size=\"32095232\"] \n  47 -> 50 [size =\"32095232\"]\n  48 [size=\"52831573\", alpha=\"0.18\", expect_size=\"15849472\"] \n  49 [size=\"135731200\", alpha=\"0.14\", expect_size=\"40719360\"] \n  50 [size=\"20346880\", alpha=\"0.19\", expect_size=\"6104064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46612480\", alpha=\"0.16\", expect_size=\"23306240\"] \n  1 -> 3 [size =\"23306240\"]\n  1 -> 4 [size =\"23306240\"]\n  2 [size=\"55078912\", alpha=\"0.02\", expect_size=\"27539456\"] \n  2 -> 4 [size =\"27539456\"]\n  3 [size=\"24543232\", alpha=\"0.16\", expect_size=\"12271616\"] \n  3 -> 5 [size =\"12271616\"]\n  3 -> 6 [size =\"12271616\"]\n  4 [size=\"99364864\", alpha=\"0.04\", expect_size=\"49682432\"] \n  4 -> 6 [size =\"49682432\"]\n  5 [size=\"48394240\", alpha=\"0.08\", expect_size=\"24197120\"] \n  6 [size=\"16578560\", alpha=\"0.14\", expect_size=\"8289280\"] \n  6 -> 7 [size =\"8289280\"]\n  6 -> 8 [size =\"8289280\"]\n  7 [size=\"95551488\", alpha=\"0.09\", expect_size=\"47775744\"] \n  7 -> 9 [size =\"47775744\"]\n  7 -> 10 [size =\"47775744\"]\n  7 -> 11 [size =\"47775744\"]\n  8 [size=\"19218432\", alpha=\"0.17\", expect_size=\"9609216\"] \n  8 -> 9 [size =\"9609216\"]\n  8 -> 10 [size =\"9609216\"]\n  8 -> 11 [size =\"9609216\"]\n  9 [size=\"62504960\", alpha=\"0.17\", expect_size=\"31252480\"] \n  9 -> 12 [size =\"31252480\"]\n  10 [size=\"48130048\", alpha=\"0.06\", expect_size=\"24065024\"] \n  10 -> 12 [size =\"24065024\"]\n  11 [size=\"36225024\", alpha=\"0.14\", expect_size=\"18112512\"] \n  11 -> 12 [size =\"18112512\"]\n  12 [size=\"17184768\", alpha=\"0.14\", expect_size=\"8592384\"] \n  12 -> 13 [size =\"8592384\"]\n  12 -> 14 [size =\"8592384\"]\n  13 [size=\"27766784\", alpha=\"0.13\", expect_size=\"13883392\"] \n  13 -> 15 [size =\"13883392\"]\n  13 -> 16 [size =\"13883392\"]\n  13 -> 17 [size =\"13883392\"]\n  13 -> 18 [size =\"13883392\"]\n  14 [size=\"102959104\", alpha=\"0.02\", expect_size=\"51479552\"] \n  14 -> 15 [size =\"51479552\"]\n  14 -> 16 [size =\"51479552\"]\n  14 -> 17 [size =\"51479552\"]\n  14 -> 18 [size =\"51479552\"]\n  15 [size=\"28518400\", alpha=\"0.15\", expect_size=\"14259200\"] \n  15 -> 19 [size =\"14259200\"]\n  15 -> 20 [size =\"14259200\"]\n  16 [size=\"68110336\", alpha=\"0.11\", expect_size=\"34055168\"] \n  16 -> 19 [size =\"34055168\"]\n  16 -> 21 [size =\"34055168\"]\n  17 [size=\"41361408\", alpha=\"0.03\", expect_size=\"20680704\"] \n  17 -> 19 [size =\"20680704\"]\n  18 [size=\"85514240\", alpha=\"0.14\", expect_size=\"42757120\"] \n  18 -> 19 [size =\"42757120\"]\n  18 -> 21 [size =\"42757120\"]\n  19 [size=\"72382464\", alpha=\"0.05\", expect_size=\"36191232\"] \n  19 -> 22 [size =\"36191232\"]\n  20 [size=\"59404288\", alpha=\"0.16\", expect_size=\"29702144\"] \n  20 -> 22 [size =\"29702144\"]\n  20 -> 23 [size =\"29702144\"]\n  20 -> 24 [size =\"29702144\"]\n  21 [size=\"85442560\", alpha=\"0.14\", expect_size=\"42721280\"] \n  21 -> 22 [size =\"42721280\"]\n  21 -> 23 [size =\"42721280\"]\n  22 [size=\"57298944\", alpha=\"0.02\", expect_size=\"28649472\"] \n  22 -> 25 [size =\"28649472\"]\n  22 -> 26 [size =\"28649472\"]\n  23 [size=\"27244544\", alpha=\"0.13\", expect_size=\"13622272\"] \n  23 -> 25 [size =\"13622272\"]\n  23 -> 26 [size =\"13622272\"]\n  24 [size=\"89434112\", alpha=\"0.03\", expect_size=\"44717056\"] \n  24 -> 26 [size =\"44717056\"]\n  25 [size=\"98115584\", alpha=\"0.00\", expect_size=\"49057792\"] \n  25 -> 27 [size =\"49057792\"]\n  25 -> 29 [size =\"49057792\"]\n  25 -> 30 [size =\"49057792\"]\n  26 [size=\"75300864\", alpha=\"0.19\", expect_size=\"37650432\"] \n  26 -> 27 [size =\"37650432\"]\n  26 -> 28 [size =\"37650432\"]\n  26 -> 29 [size =\"37650432\"]\n  26 -> 30 [size =\"37650432\"]\n  27 [size=\"32321536\", alpha=\"0.16\", expect_size=\"16160768\"] \n  27 -> 31 [size =\"16160768\"]\n  27 -> 32 [size =\"16160768\"]\n  28 [size=\"45746176\", alpha=\"0.15\", expect_size=\"22873088\"] \n  28 -> 32 [size =\"22873088\"]\n  28 -> 32 [size =\"22873088\"]\n  29 [size=\"17960960\", alpha=\"0.05\", expect_size=\"8980480\"] \n  30 [size=\"42227712\", alpha=\"0.03\", expect_size=\"21113856\"] \n  30 -> 32 [size =\"21113856\"]\n  31 [size=\"22808576\", alpha=\"0.06\", expect_size=\"11404288\"] \n  31 -> 33 [size =\"11404288\"]\n  31 -> 34 [size =\"11404288\"]\n  32 [size=\"90204160\", alpha=\"0.11\", expect_size=\"45102080\"] \n  33 [size=\"100265984\", alpha=\"0.19\", expect_size=\"50132992\"] \n  33 -> 35 [size =\"50132992\"]\n  33 -> 36 [size =\"50132992\"]\n  33 -> 37 [size =\"50132992\"]\n  33 -> 38 [size =\"50132992\"]\n  34 [size=\"67051520\", alpha=\"0.07\", expect_size=\"33525760\"] \n  34 -> 35 [size =\"33525760\"]\n  34 -> 36 [size =\"33525760\"]\n  34 -> 37 [size =\"33525760\"]\n  35 [size=\"79437824\", alpha=\"0.19\", expect_size=\"39718912\"] \n  36 [size=\"80965632\", alpha=\"0.03\", expect_size=\"40482816\"] \n  36 -> 39 [size =\"40482816\"]\n  37 [size=\"77725696\", alpha=\"0.14\", expect_size=\"38862848\"] \n  37 -> 39 [size =\"38862848\"]\n  38 [size=\"60416000\", alpha=\"0.00\", expect_size=\"30208000\"] \n  38 -> 39 [size =\"30208000\"]\n  39 [size=\"37767168\", alpha=\"0.20\", expect_size=\"18883584\"] \n  39 -> 40 [size =\"18883584\"]\n  39 -> 41 [size =\"18883584\"]\n  39 -> 42 [size =\"18883584\"]\n  39 -> 43 [size =\"18883584\"]\n  40 [size=\"61800448\", alpha=\"0.10\", expect_size=\"30900224\"] \n  40 -> 45 [size =\"30900224\"]\n  40 -> 47 [size =\"30900224\"]\n  41 [size=\"75790336\", alpha=\"0.16\", expect_size=\"37895168\"] \n  41 -> 44 [size =\"37895168\"]\n  41 -> 45 [size =\"37895168\"]\n  41 -> 46 [size =\"37895168\"]\n  41 -> 47 [size =\"37895168\"]\n  42 [size=\"11102208\", alpha=\"0.12\", expect_size=\"5551104\"] \n  42 -> 44 [size =\"5551104\"]\n  42 -> 46 [size =\"5551104\"]\n  42 -> 46 [size =\"5551104\"]\n  43 [size=\"63182848\", alpha=\"0.11\", expect_size=\"31591424\"] \n  43 -> 44 [size =\"31591424\"]\n  43 -> 45 [size =\"31591424\"]\n  43 -> 46 [size =\"31591424\"]\n  44 [size=\"60569600\", alpha=\"0.07\", expect_size=\"30284800\"] \n  44 -> 48 [size =\"30284800\"]\n  44 -> 49 [size =\"30284800\"]\n  45 [size=\"95735808\", alpha=\"0.02\", expect_size=\"47867904\"] \n  45 -> 48 [size =\"47867904\"]\n  45 -> 49 [size =\"47867904\"]\n  46 [size=\"92342272\", alpha=\"0.10\", expect_size=\"46171136\"] \n  46 -> 48 [size =\"46171136\"]\n  46 -> 49 [size =\"46171136\"]\n  47 [size=\"13643776\", alpha=\"0.03\", expect_size=\"6821888\"] \n  47 -> 48 [size =\"6821888\"]\n  47 -> 49 [size =\"6821888\"]\n  48 [size=\"79257600\", alpha=\"0.03\", expect_size=\"39628800\"] \n  48 -> 50 [size =\"39628800\"]\n  49 [size=\"81100800\", alpha=\"0.06\", expect_size=\"40550400\"] \n  49 -> 50 [size =\"40550400\"]\n  50 [size=\"81072128\", alpha=\"0.14\", expect_size=\"40536064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.300.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57587712\", alpha=\"0.14\", expect_size=\"28793856\"] \n  1 -> 2 [size =\"28793856\"]\n  2 [size=\"25399296\", alpha=\"0.13\", expect_size=\"12699648\"] \n  2 -> 3 [size =\"12699648\"]\n  3 [size=\"15740928\", alpha=\"0.11\", expect_size=\"7870464\"] \n  3 -> 4 [size =\"7870464\"]\n  4 [size=\"33374208\", alpha=\"0.14\", expect_size=\"16687104\"] \n  4 -> 5 [size =\"16687104\"]\n  5 [size=\"85993472\", alpha=\"0.05\", expect_size=\"42996736\"] \n  5 -> 6 [size =\"42996736\"]\n  6 [size=\"29554688\", alpha=\"0.10\", expect_size=\"14777344\"] \n  6 -> 7 [size =\"14777344\"]\n  7 [size=\"38133760\", alpha=\"0.15\", expect_size=\"19066880\"] \n  7 -> 8 [size =\"19066880\"]\n  8 [size=\"75962368\", alpha=\"0.01\", expect_size=\"37981184\"] \n  8 -> 9 [size =\"37981184\"]\n  9 [size=\"38692864\", alpha=\"0.06\", expect_size=\"19346432\"] \n  9 -> 10 [size =\"19346432\"]\n  10 [size=\"100073472\", alpha=\"0.05\", expect_size=\"50036736\"] \n  10 -> 11 [size =\"50036736\"]\n  11 [size=\"71979008\", alpha=\"0.00\", expect_size=\"35989504\"] \n  11 -> 12 [size =\"35989504\"]\n  12 [size=\"41814016\", alpha=\"0.13\", expect_size=\"20907008\"] \n  12 -> 13 [size =\"20907008\"]\n  13 [size=\"101531648\", alpha=\"0.10\", expect_size=\"50765824\"] \n  13 -> 14 [size =\"50765824\"]\n  14 [size=\"59314176\", alpha=\"0.02\", expect_size=\"29657088\"] \n  14 -> 15 [size =\"29657088\"]\n  15 [size=\"31506432\", alpha=\"0.00\", expect_size=\"15753216\"] \n  15 -> 16 [size =\"15753216\"]\n  16 [size=\"53063680\", alpha=\"0.02\", expect_size=\"26531840\"] \n  16 -> 17 [size =\"26531840\"]\n  17 [size=\"99893248\", alpha=\"0.02\", expect_size=\"49946624\"] \n  17 -> 18 [size =\"49946624\"]\n  18 [size=\"77318144\", alpha=\"0.18\", expect_size=\"38659072\"] \n  18 -> 19 [size =\"38659072\"]\n  19 [size=\"83341312\", alpha=\"0.03\", expect_size=\"41670656\"] \n  19 -> 20 [size =\"41670656\"]\n  20 [size=\"16506880\", alpha=\"0.09\", expect_size=\"8253440\"] \n  20 -> 21 [size =\"8253440\"]\n  21 [size=\"42334208\", alpha=\"0.05\", expect_size=\"21167104\"] \n  21 -> 22 [size =\"21167104\"]\n  22 [size=\"43546624\", alpha=\"0.04\", expect_size=\"21773312\"] \n  22 -> 23 [size =\"21773312\"]\n  23 [size=\"102688768\", alpha=\"0.04\", expect_size=\"51344384\"] \n  23 -> 24 [size =\"51344384\"]\n  24 [size=\"57071616\", alpha=\"0.09\", expect_size=\"28535808\"] \n  24 -> 25 [size =\"28535808\"]\n  25 [size=\"65751040\", alpha=\"0.10\", expect_size=\"32875520\"] \n  25 -> 26 [size =\"32875520\"]\n  26 [size=\"67993600\", alpha=\"0.15\", expect_size=\"33996800\"] \n  26 -> 27 [size =\"33996800\"]\n  27 [size=\"75923456\", alpha=\"0.06\", expect_size=\"37961728\"] \n  27 -> 28 [size =\"37961728\"]\n  28 [size=\"85362688\", alpha=\"0.11\", expect_size=\"42681344\"] \n  28 -> 29 [size =\"42681344\"]\n  29 [size=\"76959744\", alpha=\"0.02\", expect_size=\"38479872\"] \n  29 -> 30 [size =\"38479872\"]\n  30 [size=\"90222592\", alpha=\"0.11\", expect_size=\"45111296\"] \n  30 -> 31 [size =\"45111296\"]\n  31 [size=\"37115904\", alpha=\"0.14\", expect_size=\"18557952\"] \n  31 -> 32 [size =\"18557952\"]\n  32 [size=\"59111424\", alpha=\"0.04\", expect_size=\"29555712\"] \n  32 -> 33 [size =\"29555712\"]\n  33 [size=\"76752896\", alpha=\"0.12\", expect_size=\"38376448\"] \n  33 -> 34 [size =\"38376448\"]\n  34 [size=\"95295488\", alpha=\"0.12\", expect_size=\"47647744\"] \n  34 -> 35 [size =\"47647744\"]\n  35 [size=\"43257856\", alpha=\"0.15\", expect_size=\"21628928\"] \n  35 -> 36 [size =\"21628928\"]\n  36 [size=\"90519552\", alpha=\"0.08\", expect_size=\"45259776\"] \n  36 -> 37 [size =\"45259776\"]\n  37 [size=\"67407872\", alpha=\"0.19\", expect_size=\"33703936\"] \n  37 -> 38 [size =\"33703936\"]\n  38 [size=\"95942656\", alpha=\"0.05\", expect_size=\"47971328\"] \n  38 -> 39 [size =\"47971328\"]\n  39 [size=\"52860928\", alpha=\"0.06\", expect_size=\"26430464\"] \n  39 -> 40 [size =\"26430464\"]\n  40 [size=\"60739584\", alpha=\"0.08\", expect_size=\"30369792\"] \n  40 -> 41 [size =\"30369792\"]\n  41 [size=\"20426752\", alpha=\"0.18\", expect_size=\"10213376\"] \n  41 -> 42 [size =\"10213376\"]\n  42 [size=\"87787520\", alpha=\"0.14\", expect_size=\"43893760\"] \n  42 -> 43 [size =\"43893760\"]\n  43 [size=\"11034624\", alpha=\"0.10\", expect_size=\"5517312\"] \n  43 -> 44 [size =\"5517312\"]\n  44 [size=\"69959680\", alpha=\"0.15\", expect_size=\"34979840\"] \n  44 -> 45 [size =\"34979840\"]\n  45 [size=\"30275584\", alpha=\"0.12\", expect_size=\"15137792\"] \n  45 -> 46 [size =\"15137792\"]\n  46 [size=\"101748736\", alpha=\"0.02\", expect_size=\"50874368\"] \n  46 -> 47 [size =\"50874368\"]\n  47 [size=\"43843584\", alpha=\"0.05\", expect_size=\"21921792\"] \n  47 -> 48 [size =\"21921792\"]\n  48 [size=\"40335360\", alpha=\"0.04\", expect_size=\"20167680\"] \n  48 -> 49 [size =\"20167680\"]\n  49 [size=\"63690752\", alpha=\"0.18\", expect_size=\"31845376\"] \n  49 -> 50 [size =\"31845376\"]\n  50 [size=\"92391424\", alpha=\"0.08\", expect_size=\"46195712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.301.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171216213\", alpha=\"0.13\", expect_size=\"51364864\"] \n  1 -> 35 [size =\"51364864\"]\n  1 -> 41 [size =\"51364864\"]\n  1 -> 44 [size =\"51364864\"]\n  1 -> 45 [size =\"51364864\"]\n  1 -> 46 [size =\"51364864\"]\n  1 -> 50 [size =\"51364864\"]\n  1 -> 50 [size =\"51364864\"]\n  2 [size=\"47141547\", alpha=\"0.08\", expect_size=\"14142464\"] \n  2 -> 37 [size =\"14142464\"]\n  2 -> 38 [size =\"14142464\"]\n  2 -> 39 [size =\"14142464\"]\n  2 -> 40 [size =\"14142464\"]\n  2 -> 41 [size =\"14142464\"]\n  2 -> 42 [size =\"14142464\"]\n  2 -> 43 [size =\"14142464\"]\n  2 -> 45 [size =\"14142464\"]\n  2 -> 47 [size =\"14142464\"]\n  2 -> 48 [size =\"14142464\"]\n  2 -> 49 [size =\"14142464\"]\n  2 -> 50 [size =\"14142464\"]\n  3 [size=\"34846720\", alpha=\"0.07\", expect_size=\"10454016\"] \n  3 -> 35 [size =\"10454016\"]\n  3 -> 37 [size =\"10454016\"]\n  3 -> 45 [size =\"10454016\"]\n  3 -> 47 [size =\"10454016\"]\n  3 -> 50 [size =\"10454016\"]\n  4 [size=\"74977280\", alpha=\"0.05\", expect_size=\"22493184\"] \n  4 -> 35 [size =\"22493184\"]\n  4 -> 37 [size =\"22493184\"]\n  4 -> 40 [size =\"22493184\"]\n  4 -> 41 [size =\"22493184\"]\n  4 -> 45 [size =\"22493184\"]\n  4 -> 49 [size =\"22493184\"]\n  4 -> 50 [size =\"22493184\"]\n  5 [size=\"160962560\", alpha=\"0.00\", expect_size=\"48288768\"] \n  5 -> 35 [size =\"48288768\"]\n  5 -> 36 [size =\"48288768\"]\n  5 -> 37 [size =\"48288768\"]\n  5 -> 39 [size =\"48288768\"]\n  5 -> 45 [size =\"48288768\"]\n  5 -> 49 [size =\"48288768\"]\n  6 [size=\"141329067\", alpha=\"0.05\", expect_size=\"42398720\"] \n  6 -> 35 [size =\"42398720\"]\n  6 -> 39 [size =\"42398720\"]\n  6 -> 45 [size =\"42398720\"]\n  6 -> 46 [size =\"42398720\"]\n  6 -> 48 [size =\"42398720\"]\n  7 [size=\"160327680\", alpha=\"0.01\", expect_size=\"48098304\"] \n  7 -> 35 [size =\"48098304\"]\n  7 -> 36 [size =\"48098304\"]\n  7 -> 37 [size =\"48098304\"]\n  7 -> 41 [size =\"48098304\"]\n  7 -> 48 [size =\"48098304\"]\n  8 [size=\"37051733\", alpha=\"0.17\", expect_size=\"11115520\"] \n  8 -> 36 [size =\"11115520\"]\n  8 -> 37 [size =\"11115520\"]\n  8 -> 42 [size =\"11115520\"]\n  8 -> 44 [size =\"11115520\"]\n  9 [size=\"49704960\", alpha=\"0.18\", expect_size=\"14911488\"] \n  9 -> 36 [size =\"14911488\"]\n  10 [size=\"147145387\", alpha=\"0.09\", expect_size=\"44143616\"] \n  10 -> 40 [size =\"44143616\"]\n  10 -> 46 [size =\"44143616\"]\n  10 -> 47 [size =\"44143616\"]\n  11 [size=\"68440747\", alpha=\"0.19\", expect_size=\"20532224\"] \n  11 -> 36 [size =\"20532224\"]\n  11 -> 37 [size =\"20532224\"]\n  11 -> 38 [size =\"20532224\"]\n  11 -> 40 [size =\"20532224\"]\n  11 -> 46 [size =\"20532224\"]\n  11 -> 50 [size =\"20532224\"]\n  12 [size=\"169591467\", alpha=\"0.07\", expect_size=\"50877440\"] \n  12 -> 39 [size =\"50877440\"]\n  12 -> 40 [size =\"50877440\"]\n  12 -> 44 [size =\"50877440\"]\n  12 -> 45 [size =\"50877440\"]\n  12 -> 48 [size =\"50877440\"]\n  13 [size=\"78496427\", alpha=\"0.17\", expect_size=\"23548928\"] \n  13 -> 34 [size =\"23548928\"]\n  13 -> 35 [size =\"23548928\"]\n  13 -> 36 [size =\"23548928\"]\n  13 -> 37 [size =\"23548928\"]\n  13 -> 39 [size =\"23548928\"]\n  13 -> 46 [size =\"23548928\"]\n  13 -> 49 [size =\"23548928\"]\n  14 [size=\"135492267\", alpha=\"0.07\", expect_size=\"40647680\"] \n  14 -> 34 [size =\"40647680\"]\n  14 -> 36 [size =\"40647680\"]\n  14 -> 37 [size =\"40647680\"]\n  14 -> 39 [size =\"40647680\"]\n  14 -> 44 [size =\"40647680\"]\n  14 -> 45 [size =\"40647680\"]\n  14 -> 47 [size =\"40647680\"]\n  14 -> 48 [size =\"40647680\"]\n  14 -> 49 [size =\"40647680\"]\n  15 [size=\"172042240\", alpha=\"0.07\", expect_size=\"51612672\"] \n  15 -> 35 [size =\"51612672\"]\n  15 -> 37 [size =\"51612672\"]\n  15 -> 50 [size =\"51612672\"]\n  16 [size=\"17530880\", alpha=\"0.06\", expect_size=\"5259264\"] \n  16 -> 35 [size =\"5259264\"]\n  16 -> 37 [size =\"5259264\"]\n  16 -> 38 [size =\"5259264\"]\n  16 -> 46 [size =\"5259264\"]\n  16 -> 47 [size =\"5259264\"]\n  16 -> 50 [size =\"5259264\"]\n  17 [size=\"58873173\", alpha=\"0.07\", expect_size=\"17661952\"] \n  17 -> 36 [size =\"17661952\"]\n  17 -> 37 [size =\"17661952\"]\n  17 -> 40 [size =\"17661952\"]\n  17 -> 45 [size =\"17661952\"]\n  17 -> 50 [size =\"17661952\"]\n  18 [size=\"70355627\", alpha=\"0.06\", expect_size=\"21106688\"] \n  18 -> 35 [size =\"21106688\"]\n  18 -> 37 [size =\"21106688\"]\n  18 -> 40 [size =\"21106688\"]\n  18 -> 44 [size =\"21106688\"]\n  18 -> 45 [size =\"21106688\"]\n  19 [size=\"49319253\", alpha=\"0.12\", expect_size=\"14795776\"] \n  19 -> 36 [size =\"14795776\"]\n  19 -> 37 [size =\"14795776\"]\n  19 -> 41 [size =\"14795776\"]\n  19 -> 44 [size =\"14795776\"]\n  19 -> 45 [size =\"14795776\"]\n  19 -> 48 [size =\"14795776\"]\n  19 -> 49 [size =\"14795776\"]\n  20 [size=\"31013547\", alpha=\"0.00\", expect_size=\"9304064\"] \n  20 -> 34 [size =\"9304064\"]\n  20 -> 35 [size =\"9304064\"]\n  20 -> 36 [size =\"9304064\"]\n  20 -> 37 [size =\"9304064\"]\n  20 -> 49 [size =\"9304064\"]\n  21 [size=\"105424213\", alpha=\"0.08\", expect_size=\"31627264\"] \n  21 -> 34 [size =\"31627264\"]\n  21 -> 35 [size =\"31627264\"]\n  21 -> 44 [size =\"31627264\"]\n  21 -> 46 [size =\"31627264\"]\n  21 -> 48 [size =\"31627264\"]\n  22 [size=\"99123200\", alpha=\"0.19\", expect_size=\"29736960\"] \n  22 -> 35 [size =\"29736960\"]\n  22 -> 39 [size =\"29736960\"]\n  22 -> 41 [size =\"29736960\"]\n  22 -> 44 [size =\"29736960\"]\n  22 -> 49 [size =\"29736960\"]\n  22 -> 50 [size =\"29736960\"]\n  23 [size=\"157883733\", alpha=\"0.12\", expect_size=\"47365120\"] \n  23 -> 35 [size =\"47365120\"]\n  23 -> 39 [size =\"47365120\"]\n  23 -> 48 [size =\"47365120\"]\n  23 -> 50 [size =\"47365120\"]\n  24 [size=\"135222613\", alpha=\"0.13\", expect_size=\"40566784\"] \n  24 -> 35 [size =\"40566784\"]\n  24 -> 43 [size =\"40566784\"]\n  24 -> 45 [size =\"40566784\"]\n  24 -> 50 [size =\"40566784\"]\n  25 [size=\"35563520\", alpha=\"0.12\", expect_size=\"10669056\"] \n  25 -> 34 [size =\"10669056\"]\n  25 -> 35 [size =\"10669056\"]\n  25 -> 50 [size =\"10669056\"]\n  26 [size=\"88282453\", alpha=\"0.07\", expect_size=\"26484736\"] \n  26 -> 35 [size =\"26484736\"]\n  26 -> 35 [size =\"26484736\"]\n  26 -> 36 [size =\"26484736\"]\n  26 -> 40 [size =\"26484736\"]\n  26 -> 48 [size =\"26484736\"]\n  27 [size=\"132089173\", alpha=\"0.19\", expect_size=\"39626752\"] \n  27 -> 40 [size =\"39626752\"]\n  27 -> 42 [size =\"39626752\"]\n  27 -> 48 [size =\"39626752\"]\n  28 [size=\"33157120\", alpha=\"0.15\", expect_size=\"9947136\"] \n  28 -> 34 [size =\"9947136\"]\n  28 -> 36 [size =\"9947136\"]\n  28 -> 41 [size =\"9947136\"]\n  28 -> 44 [size =\"9947136\"]\n  28 -> 45 [size =\"9947136\"]\n  28 -> 46 [size =\"9947136\"]\n  28 -> 47 [size =\"9947136\"]\n  28 -> 48 [size =\"9947136\"]\n  29 [size=\"78721707\", alpha=\"0.14\", expect_size=\"23616512\"] \n  29 -> 35 [size =\"23616512\"]\n  29 -> 36 [size =\"23616512\"]\n  29 -> 37 [size =\"23616512\"]\n  29 -> 39 [size =\"23616512\"]\n  29 -> 44 [size =\"23616512\"]\n  29 -> 47 [size =\"23616512\"]\n  29 -> 48 [size =\"23616512\"]\n  30 [size=\"174493013\", alpha=\"0.10\", expect_size=\"52347904\"] \n  30 -> 34 [size =\"52347904\"]\n  30 -> 36 [size =\"52347904\"]\n  30 -> 39 [size =\"52347904\"]\n  31 [size=\"17766400\", alpha=\"0.13\", expect_size=\"5329920\"] \n  31 -> 34 [size =\"5329920\"]\n  31 -> 36 [size =\"5329920\"]\n  31 -> 37 [size =\"5329920\"]\n  31 -> 39 [size =\"5329920\"]\n  31 -> 44 [size =\"5329920\"]\n  31 -> 45 [size =\"5329920\"]\n  32 [size=\"76861440\", alpha=\"0.15\", expect_size=\"23058432\"] \n  32 -> 34 [size =\"23058432\"]\n  32 -> 36 [size =\"23058432\"]\n  32 -> 47 [size =\"23058432\"]\n  32 -> 48 [size =\"23058432\"]\n  32 -> 50 [size =\"23058432\"]\n  33 [size=\"66867200\", alpha=\"0.04\", expect_size=\"20060160\"] \n  33 -> 34 [size =\"20060160\"]\n  33 -> 37 [size =\"20060160\"]\n  33 -> 40 [size =\"20060160\"]\n  33 -> 41 [size =\"20060160\"]\n  33 -> 47 [size =\"20060160\"]\n  33 -> 48 [size =\"20060160\"]\n  33 -> 50 [size =\"20060160\"]\n  34 [size=\"162440533\", alpha=\"0.09\", expect_size=\"48732160\"] \n  35 [size=\"106516480\", alpha=\"0.13\", expect_size=\"31954944\"] \n  36 [size=\"42577920\", alpha=\"0.17\", expect_size=\"12773376\"] \n  37 [size=\"94487893\", alpha=\"0.07\", expect_size=\"28346368\"] \n  38 [size=\"90518187\", alpha=\"0.03\", expect_size=\"27155456\"] \n  39 [size=\"50254507\", alpha=\"0.03\", expect_size=\"15076352\"] \n  40 [size=\"163205120\", alpha=\"0.05\", expect_size=\"48961536\"] \n  41 [size=\"87186773\", alpha=\"0.18\", expect_size=\"26156032\"] \n  42 [size=\"30457173\", alpha=\"0.02\", expect_size=\"9137152\"] \n  43 [size=\"145124693\", alpha=\"0.03\", expect_size=\"43537408\"] \n  44 [size=\"20363947\", alpha=\"0.20\", expect_size=\"6109184\"] \n  45 [size=\"88756907\", alpha=\"0.18\", expect_size=\"26627072\"] \n  46 [size=\"33013760\", alpha=\"0.06\", expect_size=\"9904128\"] \n  47 [size=\"167765333\", alpha=\"0.08\", expect_size=\"50329600\"] \n  48 [size=\"62552747\", alpha=\"0.12\", expect_size=\"18765824\"] \n  49 [size=\"84824747\", alpha=\"0.04\", expect_size=\"25447424\"] \n  50 [size=\"109141333\", alpha=\"0.16\", expect_size=\"32742400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.302.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82375680\", alpha=\"0.10\", expect_size=\"32950272\"] \n  1 -> 34 [size =\"32950272\"]\n  1 -> 35 [size =\"32950272\"]\n  1 -> 37 [size =\"32950272\"]\n  1 -> 38 [size =\"32950272\"]\n  1 -> 39 [size =\"32950272\"]\n  1 -> 43 [size =\"32950272\"]\n  1 -> 47 [size =\"32950272\"]\n  1 -> 48 [size =\"32950272\"]\n  1 -> 50 [size =\"32950272\"]\n  2 [size=\"29096960\", alpha=\"0.10\", expect_size=\"11638784\"] \n  2 -> 32 [size =\"11638784\"]\n  2 -> 34 [size =\"11638784\"]\n  2 -> 35 [size =\"11638784\"]\n  2 -> 36 [size =\"11638784\"]\n  2 -> 37 [size =\"11638784\"]\n  2 -> 38 [size =\"11638784\"]\n  2 -> 39 [size =\"11638784\"]\n  2 -> 40 [size =\"11638784\"]\n  2 -> 41 [size =\"11638784\"]\n  2 -> 44 [size =\"11638784\"]\n  2 -> 45 [size =\"11638784\"]\n  2 -> 46 [size =\"11638784\"]\n  2 -> 48 [size =\"11638784\"]\n  2 -> 49 [size =\"11638784\"]\n  2 -> 50 [size =\"11638784\"]\n  3 [size=\"98951680\", alpha=\"0.08\", expect_size=\"39580672\"] \n  3 -> 32 [size =\"39580672\"]\n  3 -> 34 [size =\"39580672\"]\n  3 -> 36 [size =\"39580672\"]\n  3 -> 37 [size =\"39580672\"]\n  3 -> 39 [size =\"39580672\"]\n  3 -> 44 [size =\"39580672\"]\n  3 -> 48 [size =\"39580672\"]\n  4 [size=\"95308800\", alpha=\"0.17\", expect_size=\"38123520\"] \n  4 -> 33 [size =\"38123520\"]\n  4 -> 35 [size =\"38123520\"]\n  4 -> 36 [size =\"38123520\"]\n  4 -> 37 [size =\"38123520\"]\n  4 -> 38 [size =\"38123520\"]\n  4 -> 39 [size =\"38123520\"]\n  4 -> 43 [size =\"38123520\"]\n  4 -> 44 [size =\"38123520\"]\n  4 -> 46 [size =\"38123520\"]\n  4 -> 49 [size =\"38123520\"]\n  4 -> 50 [size =\"38123520\"]\n  5 [size=\"60805120\", alpha=\"0.18\", expect_size=\"24322048\"] \n  5 -> 39 [size =\"24322048\"]\n  5 -> 40 [size =\"24322048\"]\n  5 -> 43 [size =\"24322048\"]\n  5 -> 46 [size =\"24322048\"]\n  5 -> 47 [size =\"24322048\"]\n  5 -> 49 [size =\"24322048\"]\n  6 [size=\"51619840\", alpha=\"0.12\", expect_size=\"20647936\"] \n  6 -> 32 [size =\"20647936\"]\n  6 -> 33 [size =\"20647936\"]\n  6 -> 34 [size =\"20647936\"]\n  6 -> 37 [size =\"20647936\"]\n  6 -> 39 [size =\"20647936\"]\n  6 -> 40 [size =\"20647936\"]\n  6 -> 41 [size =\"20647936\"]\n  6 -> 46 [size =\"20647936\"]\n  6 -> 47 [size =\"20647936\"]\n  6 -> 48 [size =\"20647936\"]\n  6 -> 50 [size =\"20647936\"]\n  7 [size=\"79802880\", alpha=\"0.10\", expect_size=\"31921152\"] \n  7 -> 32 [size =\"31921152\"]\n  7 -> 33 [size =\"31921152\"]\n  7 -> 34 [size =\"31921152\"]\n  7 -> 36 [size =\"31921152\"]\n  7 -> 41 [size =\"31921152\"]\n  7 -> 46 [size =\"31921152\"]\n  7 -> 47 [size =\"31921152\"]\n  7 -> 48 [size =\"31921152\"]\n  8 [size=\"117081600\", alpha=\"0.07\", expect_size=\"46832640\"] \n  8 -> 32 [size =\"46832640\"]\n  8 -> 34 [size =\"46832640\"]\n  8 -> 37 [size =\"46832640\"]\n  8 -> 38 [size =\"46832640\"]\n  8 -> 43 [size =\"46832640\"]\n  8 -> 46 [size =\"46832640\"]\n  8 -> 47 [size =\"46832640\"]\n  8 -> 48 [size =\"46832640\"]\n  8 -> 49 [size =\"46832640\"]\n  8 -> 50 [size =\"46832640\"]\n  9 [size=\"88821760\", alpha=\"0.12\", expect_size=\"35528704\"] \n  9 -> 33 [size =\"35528704\"]\n  9 -> 34 [size =\"35528704\"]\n  9 -> 35 [size =\"35528704\"]\n  9 -> 37 [size =\"35528704\"]\n  9 -> 41 [size =\"35528704\"]\n  9 -> 46 [size =\"35528704\"]\n  9 -> 48 [size =\"35528704\"]\n  9 -> 50 [size =\"35528704\"]\n  10 [size=\"68866560\", alpha=\"0.18\", expect_size=\"27546624\"] \n  10 -> 32 [size =\"27546624\"]\n  10 -> 34 [size =\"27546624\"]\n  10 -> 35 [size =\"27546624\"]\n  10 -> 37 [size =\"27546624\"]\n  10 -> 38 [size =\"27546624\"]\n  10 -> 39 [size =\"27546624\"]\n  10 -> 40 [size =\"27546624\"]\n  10 -> 41 [size =\"27546624\"]\n  10 -> 43 [size =\"27546624\"]\n  10 -> 44 [size =\"27546624\"]\n  10 -> 46 [size =\"27546624\"]\n  10 -> 48 [size =\"27546624\"]\n  10 -> 49 [size =\"27546624\"]\n  11 [size=\"107735040\", alpha=\"0.11\", expect_size=\"43094016\"] \n  11 -> 32 [size =\"43094016\"]\n  11 -> 34 [size =\"43094016\"]\n  11 -> 35 [size =\"43094016\"]\n  11 -> 39 [size =\"43094016\"]\n  11 -> 40 [size =\"43094016\"]\n  11 -> 41 [size =\"43094016\"]\n  11 -> 43 [size =\"43094016\"]\n  11 -> 44 [size =\"43094016\"]\n  11 -> 46 [size =\"43094016\"]\n  11 -> 48 [size =\"43094016\"]\n  11 -> 50 [size =\"43094016\"]\n  12 [size=\"50593280\", alpha=\"0.13\", expect_size=\"20237312\"] \n  12 -> 32 [size =\"20237312\"]\n  12 -> 35 [size =\"20237312\"]\n  12 -> 35 [size =\"20237312\"]\n  12 -> 36 [size =\"20237312\"]\n  12 -> 37 [size =\"20237312\"]\n  12 -> 38 [size =\"20237312\"]\n  12 -> 39 [size =\"20237312\"]\n  12 -> 40 [size =\"20237312\"]\n  12 -> 41 [size =\"20237312\"]\n  12 -> 43 [size =\"20237312\"]\n  12 -> 46 [size =\"20237312\"]\n  12 -> 47 [size =\"20237312\"]\n  12 -> 49 [size =\"20237312\"]\n  12 -> 50 [size =\"20237312\"]\n  13 [size=\"111480320\", alpha=\"0.17\", expect_size=\"44592128\"] \n  13 -> 32 [size =\"44592128\"]\n  13 -> 34 [size =\"44592128\"]\n  13 -> 36 [size =\"44592128\"]\n  13 -> 36 [size =\"44592128\"]\n  13 -> 37 [size =\"44592128\"]\n  13 -> 38 [size =\"44592128\"]\n  13 -> 39 [size =\"44592128\"]\n  13 -> 41 [size =\"44592128\"]\n  13 -> 42 [size =\"44592128\"]\n  13 -> 43 [size =\"44592128\"]\n  13 -> 45 [size =\"44592128\"]\n  13 -> 46 [size =\"44592128\"]\n  13 -> 47 [size =\"44592128\"]\n  13 -> 48 [size =\"44592128\"]\n  13 -> 50 [size =\"44592128\"]\n  14 [size=\"39232000\", alpha=\"0.13\", expect_size=\"15692800\"] \n  14 -> 32 [size =\"15692800\"]\n  14 -> 34 [size =\"15692800\"]\n  14 -> 37 [size =\"15692800\"]\n  14 -> 38 [size =\"15692800\"]\n  14 -> 39 [size =\"15692800\"]\n  14 -> 44 [size =\"15692800\"]\n  14 -> 46 [size =\"15692800\"]\n  14 -> 49 [size =\"15692800\"]\n  15 [size=\"20756480\", alpha=\"0.11\", expect_size=\"8302592\"] \n  15 -> 32 [size =\"8302592\"]\n  15 -> 37 [size =\"8302592\"]\n  15 -> 43 [size =\"8302592\"]\n  15 -> 46 [size =\"8302592\"]\n  15 -> 49 [size =\"8302592\"]\n  16 [size=\"125716480\", alpha=\"0.08\", expect_size=\"50286592\"] \n  16 -> 32 [size =\"50286592\"]\n  16 -> 38 [size =\"50286592\"]\n  16 -> 40 [size =\"50286592\"]\n  16 -> 43 [size =\"50286592\"]\n  16 -> 46 [size =\"50286592\"]\n  17 [size=\"78197760\", alpha=\"0.02\", expect_size=\"31279104\"] \n  17 -> 34 [size =\"31279104\"]\n  17 -> 38 [size =\"31279104\"]\n  17 -> 39 [size =\"31279104\"]\n  17 -> 40 [size =\"31279104\"]\n  17 -> 43 [size =\"31279104\"]\n  17 -> 44 [size =\"31279104\"]\n  17 -> 47 [size =\"31279104\"]\n  17 -> 49 [size =\"31279104\"]\n  17 -> 50 [size =\"31279104\"]\n  18 [size=\"18199040\", alpha=\"0.10\", expect_size=\"7279616\"] \n  18 -> 32 [size =\"7279616\"]\n  18 -> 34 [size =\"7279616\"]\n  18 -> 35 [size =\"7279616\"]\n  18 -> 37 [size =\"7279616\"]\n  18 -> 38 [size =\"7279616\"]\n  18 -> 40 [size =\"7279616\"]\n  18 -> 41 [size =\"7279616\"]\n  18 -> 47 [size =\"7279616\"]\n  18 -> 49 [size =\"7279616\"]\n  19 [size=\"58321920\", alpha=\"0.04\", expect_size=\"23328768\"] \n  19 -> 32 [size =\"23328768\"]\n  19 -> 34 [size =\"23328768\"]\n  19 -> 35 [size =\"23328768\"]\n  19 -> 36 [size =\"23328768\"]\n  19 -> 38 [size =\"23328768\"]\n  19 -> 39 [size =\"23328768\"]\n  19 -> 40 [size =\"23328768\"]\n  19 -> 41 [size =\"23328768\"]\n  19 -> 46 [size =\"23328768\"]\n  19 -> 49 [size =\"23328768\"]\n  20 [size=\"127564800\", alpha=\"0.17\", expect_size=\"51025920\"] \n  20 -> 32 [size =\"51025920\"]\n  20 -> 33 [size =\"51025920\"]\n  20 -> 34 [size =\"51025920\"]\n  20 -> 35 [size =\"51025920\"]\n  20 -> 36 [size =\"51025920\"]\n  20 -> 37 [size =\"51025920\"]\n  20 -> 38 [size =\"51025920\"]\n  20 -> 39 [size =\"51025920\"]\n  20 -> 40 [size =\"51025920\"]\n  20 -> 43 [size =\"51025920\"]\n  20 -> 46 [size =\"51025920\"]\n  21 [size=\"115389440\", alpha=\"0.02\", expect_size=\"46155776\"] \n  21 -> 32 [size =\"46155776\"]\n  21 -> 35 [size =\"46155776\"]\n  21 -> 36 [size =\"46155776\"]\n  21 -> 37 [size =\"46155776\"]\n  21 -> 38 [size =\"46155776\"]\n  21 -> 39 [size =\"46155776\"]\n  21 -> 40 [size =\"46155776\"]\n  21 -> 43 [size =\"46155776\"]\n  21 -> 45 [size =\"46155776\"]\n  21 -> 47 [size =\"46155776\"]\n  21 -> 50 [size =\"46155776\"]\n  22 [size=\"59729920\", alpha=\"0.10\", expect_size=\"23891968\"] \n  22 -> 34 [size =\"23891968\"]\n  22 -> 35 [size =\"23891968\"]\n  22 -> 37 [size =\"23891968\"]\n  22 -> 37 [size =\"23891968\"]\n  22 -> 38 [size =\"23891968\"]\n  22 -> 39 [size =\"23891968\"]\n  22 -> 46 [size =\"23891968\"]\n  22 -> 47 [size =\"23891968\"]\n  22 -> 49 [size =\"23891968\"]\n  23 [size=\"20689920\", alpha=\"0.12\", expect_size=\"8275968\"] \n  23 -> 34 [size =\"8275968\"]\n  23 -> 35 [size =\"8275968\"]\n  23 -> 38 [size =\"8275968\"]\n  23 -> 43 [size =\"8275968\"]\n  23 -> 46 [size =\"8275968\"]\n  23 -> 48 [size =\"8275968\"]\n  23 -> 49 [size =\"8275968\"]\n  24 [size=\"118251520\", alpha=\"0.08\", expect_size=\"47300608\"] \n  24 -> 34 [size =\"47300608\"]\n  24 -> 35 [size =\"47300608\"]\n  24 -> 38 [size =\"47300608\"]\n  24 -> 40 [size =\"47300608\"]\n  24 -> 43 [size =\"47300608\"]\n  24 -> 44 [size =\"47300608\"]\n  24 -> 46 [size =\"47300608\"]\n  24 -> 49 [size =\"47300608\"]\n  24 -> 50 [size =\"47300608\"]\n  25 [size=\"76687360\", alpha=\"0.12\", expect_size=\"30674944\"] \n  25 -> 35 [size =\"30674944\"]\n  25 -> 35 [size =\"30674944\"]\n  25 -> 38 [size =\"30674944\"]\n  25 -> 40 [size =\"30674944\"]\n  25 -> 41 [size =\"30674944\"]\n  25 -> 42 [size =\"30674944\"]\n  25 -> 44 [size =\"30674944\"]\n  25 -> 46 [size =\"30674944\"]\n  25 -> 50 [size =\"30674944\"]\n  26 [size=\"22996480\", alpha=\"0.02\", expect_size=\"9198592\"] \n  26 -> 32 [size =\"9198592\"]\n  26 -> 34 [size =\"9198592\"]\n  26 -> 36 [size =\"9198592\"]\n  26 -> 39 [size =\"9198592\"]\n  26 -> 43 [size =\"9198592\"]\n  26 -> 47 [size =\"9198592\"]\n  27 [size=\"68490240\", alpha=\"0.04\", expect_size=\"27396096\"] \n  27 -> 37 [size =\"27396096\"]\n  27 -> 38 [size =\"27396096\"]\n  27 -> 47 [size =\"27396096\"]\n  27 -> 50 [size =\"27396096\"]\n  28 [size=\"80281600\", alpha=\"0.04\", expect_size=\"32112640\"] \n  28 -> 34 [size =\"32112640\"]\n  28 -> 35 [size =\"32112640\"]\n  28 -> 37 [size =\"32112640\"]\n  28 -> 40 [size =\"32112640\"]\n  28 -> 41 [size =\"32112640\"]\n  28 -> 43 [size =\"32112640\"]\n  28 -> 44 [size =\"32112640\"]\n  28 -> 47 [size =\"32112640\"]\n  28 -> 50 [size =\"32112640\"]\n  29 [size=\"20577280\", alpha=\"0.16\", expect_size=\"8230912\"] \n  29 -> 32 [size =\"8230912\"]\n  29 -> 35 [size =\"8230912\"]\n  29 -> 36 [size =\"8230912\"]\n  29 -> 40 [size =\"8230912\"]\n  29 -> 41 [size =\"8230912\"]\n  29 -> 47 [size =\"8230912\"]\n  30 [size=\"46929920\", alpha=\"0.18\", expect_size=\"18771968\"] \n  30 -> 33 [size =\"18771968\"]\n  30 -> 34 [size =\"18771968\"]\n  30 -> 35 [size =\"18771968\"]\n  30 -> 36 [size =\"18771968\"]\n  30 -> 37 [size =\"18771968\"]\n  30 -> 44 [size =\"18771968\"]\n  30 -> 47 [size =\"18771968\"]\n  31 [size=\"31966720\", alpha=\"0.15\", expect_size=\"12786688\"] \n  31 -> 32 [size =\"12786688\"]\n  31 -> 35 [size =\"12786688\"]\n  31 -> 37 [size =\"12786688\"]\n  31 -> 39 [size =\"12786688\"]\n  31 -> 43 [size =\"12786688\"]\n  31 -> 46 [size =\"12786688\"]\n  31 -> 47 [size =\"12786688\"]\n  31 -> 50 [size =\"12786688\"]\n  32 [size=\"44958720\", alpha=\"0.20\", expect_size=\"17983488\"] \n  33 [size=\"101898240\", alpha=\"0.01\", expect_size=\"40759296\"] \n  34 [size=\"52700160\", alpha=\"0.06\", expect_size=\"21080064\"] \n  35 [size=\"97530880\", alpha=\"0.12\", expect_size=\"39012352\"] \n  36 [size=\"48161280\", alpha=\"0.18\", expect_size=\"19264512\"] \n  37 [size=\"61071360\", alpha=\"0.15\", expect_size=\"24428544\"] \n  38 [size=\"84986880\", alpha=\"0.12\", expect_size=\"33994752\"] \n  39 [size=\"105925120\", alpha=\"0.18\", expect_size=\"42370048\"] \n  40 [size=\"81633280\", alpha=\"0.02\", expect_size=\"32653312\"] \n  41 [size=\"67873280\", alpha=\"0.04\", expect_size=\"27149312\"] \n  42 [size=\"41310720\", alpha=\"0.14\", expect_size=\"16524288\"] \n  43 [size=\"39431680\", alpha=\"0.05\", expect_size=\"15772672\"] \n  44 [size=\"42644480\", alpha=\"0.14\", expect_size=\"17057792\"] \n  45 [size=\"77076480\", alpha=\"0.14\", expect_size=\"30830592\"] \n  46 [size=\"32412160\", alpha=\"0.16\", expect_size=\"12964864\"] \n  47 [size=\"21265920\", alpha=\"0.07\", expect_size=\"8506368\"] \n  48 [size=\"108725760\", alpha=\"0.09\", expect_size=\"43490304\"] \n  49 [size=\"63956480\", alpha=\"0.12\", expect_size=\"25582592\"] \n  50 [size=\"50137600\", alpha=\"0.02\", expect_size=\"20055040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.303.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64890880\", alpha=\"0.02\", expect_size=\"19467264\"] \n  1 -> 5 [size =\"19467264\"]\n  2 [size=\"69099520\", alpha=\"0.01\", expect_size=\"20729856\"] \n  2 -> 3 [size =\"20729856\"]\n  2 -> 4 [size =\"20729856\"]\n  2 -> 5 [size =\"20729856\"]\n  3 [size=\"110482773\", alpha=\"0.11\", expect_size=\"33144832\"] \n  3 -> 6 [size =\"33144832\"]\n  3 -> 7 [size =\"33144832\"]\n  4 [size=\"150780587\", alpha=\"0.04\", expect_size=\"45234176\"] \n  4 -> 6 [size =\"45234176\"]\n  4 -> 7 [size =\"45234176\"]\n  5 [size=\"22797653\", alpha=\"0.12\", expect_size=\"6839296\"] \n  5 -> 6 [size =\"6839296\"]\n  5 -> 7 [size =\"6839296\"]\n  6 [size=\"33774933\", alpha=\"0.14\", expect_size=\"10132480\"] \n  6 -> 8 [size =\"10132480\"]\n  6 -> 9 [size =\"10132480\"]\n  6 -> 10 [size =\"10132480\"]\n  7 [size=\"85643947\", alpha=\"0.12\", expect_size=\"25693184\"] \n  7 -> 8 [size =\"25693184\"]\n  7 -> 9 [size =\"25693184\"]\n  8 [size=\"87203840\", alpha=\"0.10\", expect_size=\"26161152\"] \n  8 -> 11 [size =\"26161152\"]\n  9 [size=\"146114560\", alpha=\"0.15\", expect_size=\"43834368\"] \n  9 -> 12 [size =\"43834368\"]\n  10 [size=\"120835413\", alpha=\"0.13\", expect_size=\"36250624\"] \n  10 -> 11 [size =\"36250624\"]\n  10 -> 12 [size =\"36250624\"]\n  11 [size=\"72232960\", alpha=\"0.10\", expect_size=\"21669888\"] \n  11 -> 13 [size =\"21669888\"]\n  11 -> 14 [size =\"21669888\"]\n  12 [size=\"88023040\", alpha=\"0.06\", expect_size=\"26406912\"] \n  12 -> 13 [size =\"26406912\"]\n  12 -> 14 [size =\"26406912\"]\n  13 [size=\"93221547\", alpha=\"0.00\", expect_size=\"27966464\"] \n  13 -> 15 [size =\"27966464\"]\n  13 -> 17 [size =\"27966464\"]\n  14 [size=\"24934400\", alpha=\"0.15\", expect_size=\"7480320\"] \n  14 -> 15 [size =\"7480320\"]\n  14 -> 16 [size =\"7480320\"]\n  14 -> 17 [size =\"7480320\"]\n  15 [size=\"58593280\", alpha=\"0.06\", expect_size=\"17577984\"] \n  15 -> 18 [size =\"17577984\"]\n  16 [size=\"151162880\", alpha=\"0.13\", expect_size=\"45348864\"] \n  17 [size=\"101410133\", alpha=\"0.07\", expect_size=\"30423040\"] \n  17 -> 18 [size =\"30423040\"]\n  17 -> 19 [size =\"30423040\"]\n  18 [size=\"34856960\", alpha=\"0.03\", expect_size=\"10457088\"] \n  18 -> 20 [size =\"10457088\"]\n  19 [size=\"114728960\", alpha=\"0.14\", expect_size=\"34418688\"] \n  19 -> 20 [size =\"34418688\"]\n  19 -> 21 [size =\"34418688\"]\n  20 [size=\"74082987\", alpha=\"0.01\", expect_size=\"22224896\"] \n  20 -> 22 [size =\"22224896\"]\n  21 [size=\"174673920\", alpha=\"0.13\", expect_size=\"52402176\"] \n  21 -> 22 [size =\"52402176\"]\n  21 -> 23 [size =\"52402176\"]\n  22 [size=\"97477973\", alpha=\"0.11\", expect_size=\"29243392\"] \n  22 -> 24 [size =\"29243392\"]\n  22 -> 25 [size =\"29243392\"]\n  23 [size=\"140800000\", alpha=\"0.02\", expect_size=\"42240000\"] \n  23 -> 24 [size =\"42240000\"]\n  23 -> 26 [size =\"42240000\"]\n  24 [size=\"142189227\", alpha=\"0.09\", expect_size=\"42656768\"] \n  24 -> 28 [size =\"42656768\"]\n  25 [size=\"104686933\", alpha=\"0.17\", expect_size=\"31406080\"] \n  25 -> 27 [size =\"31406080\"]\n  26 [size=\"148329813\", alpha=\"0.08\", expect_size=\"44498944\"] \n  26 -> 27 [size =\"44498944\"]\n  26 -> 28 [size =\"44498944\"]\n  27 [size=\"92716373\", alpha=\"0.06\", expect_size=\"27814912\"] \n  27 -> 29 [size =\"27814912\"]\n  28 [size=\"144803840\", alpha=\"0.14\", expect_size=\"43441152\"] \n  28 -> 29 [size =\"43441152\"]\n  28 -> 30 [size =\"43441152\"]\n  29 [size=\"164570453\", alpha=\"0.18\", expect_size=\"49371136\"] \n  29 -> 32 [size =\"49371136\"]\n  29 -> 33 [size =\"49371136\"]\n  30 [size=\"120674987\", alpha=\"0.16\", expect_size=\"36202496\"] \n  30 -> 31 [size =\"36202496\"]\n  30 -> 32 [size =\"36202496\"]\n  31 [size=\"124631040\", alpha=\"0.20\", expect_size=\"37389312\"] \n  32 [size=\"66573653\", alpha=\"0.13\", expect_size=\"19972096\"] \n  32 -> 34 [size =\"19972096\"]\n  32 -> 35 [size =\"19972096\"]\n  33 [size=\"155409067\", alpha=\"0.16\", expect_size=\"46622720\"] \n  33 -> 34 [size =\"46622720\"]\n  34 [size=\"169570987\", alpha=\"0.19\", expect_size=\"50871296\"] \n  34 -> 36 [size =\"50871296\"]\n  34 -> 37 [size =\"50871296\"]\n  34 -> 38 [size =\"50871296\"]\n  35 [size=\"85084160\", alpha=\"0.08\", expect_size=\"25525248\"] \n  35 -> 36 [size =\"25525248\"]\n  35 -> 37 [size =\"25525248\"]\n  35 -> 38 [size =\"25525248\"]\n  36 [size=\"64549547\", alpha=\"0.14\", expect_size=\"19364864\"] \n  36 -> 39 [size =\"19364864\"]\n  37 [size=\"124272640\", alpha=\"0.11\", expect_size=\"37281792\"] \n  37 -> 40 [size =\"37281792\"]\n  38 [size=\"17844907\", alpha=\"0.10\", expect_size=\"5353472\"] \n  39 [size=\"129570133\", alpha=\"0.01\", expect_size=\"38871040\"] \n  39 -> 42 [size =\"38871040\"]\n  39 -> 43 [size =\"38871040\"]\n  40 [size=\"116230827\", alpha=\"0.20\", expect_size=\"34869248\"] \n  40 -> 41 [size =\"34869248\"]\n  41 [size=\"81182720\", alpha=\"0.18\", expect_size=\"24354816\"] \n  41 -> 45 [size =\"24354816\"]\n  41 -> 46 [size =\"24354816\"]\n  42 [size=\"79189333\", alpha=\"0.07\", expect_size=\"23756800\"] \n  42 -> 44 [size =\"23756800\"]\n  43 [size=\"23507627\", alpha=\"0.11\", expect_size=\"7052288\"] \n  43 -> 44 [size =\"7052288\"]\n  43 -> 46 [size =\"7052288\"]\n  44 [size=\"147172693\", alpha=\"0.11\", expect_size=\"44151808\"] \n  44 -> 47 [size =\"44151808\"]\n  44 -> 48 [size =\"44151808\"]\n  45 [size=\"143069867\", alpha=\"0.02\", expect_size=\"42920960\"] \n  45 -> 48 [size =\"42920960\"]\n  45 -> 49 [size =\"42920960\"]\n  46 [size=\"52319573\", alpha=\"0.10\", expect_size=\"15695872\"] \n  46 -> 47 [size =\"15695872\"]\n  46 -> 49 [size =\"15695872\"]\n  47 [size=\"165891413\", alpha=\"0.08\", expect_size=\"49767424\"] \n  47 -> 50 [size =\"49767424\"]\n  48 [size=\"95863467\", alpha=\"0.01\", expect_size=\"28759040\"] \n  48 -> 50 [size =\"28759040\"]\n  49 [size=\"174196053\", alpha=\"0.13\", expect_size=\"52258816\"] \n  50 [size=\"26282667\", alpha=\"0.19\", expect_size=\"7884800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.304.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116771840\", alpha=\"0.04\", expect_size=\"46708736\"] \n  2 [size=\"127838720\", alpha=\"0.10\", expect_size=\"51135488\"] \n  2 -> 4 [size =\"51135488\"]\n  3 [size=\"36400640\", alpha=\"0.03\", expect_size=\"14560256\"] \n  3 -> 5 [size =\"14560256\"]\n  4 [size=\"13429760\", alpha=\"0.13\", expect_size=\"5371904\"] \n  4 -> 8 [size =\"5371904\"]\n  5 [size=\"83302400\", alpha=\"0.05\", expect_size=\"33320960\"] \n  5 -> 6 [size =\"33320960\"]\n  5 -> 7 [size =\"33320960\"]\n  6 [size=\"50347520\", alpha=\"0.20\", expect_size=\"20139008\"] \n  6 -> 11 [size =\"20139008\"]\n  7 [size=\"42368000\", alpha=\"0.05\", expect_size=\"16947200\"] \n  7 -> 9 [size =\"16947200\"]\n  7 -> 10 [size =\"16947200\"]\n  8 [size=\"109015040\", alpha=\"0.14\", expect_size=\"43606016\"] \n  8 -> 10 [size =\"43606016\"]\n  9 [size=\"86302720\", alpha=\"0.01\", expect_size=\"34521088\"] \n  9 -> 13 [size =\"34521088\"]\n  10 [size=\"47575040\", alpha=\"0.03\", expect_size=\"19030016\"] \n  11 [size=\"21468160\", alpha=\"0.01\", expect_size=\"8587264\"] \n  11 -> 12 [size =\"8587264\"]\n  11 -> 13 [size =\"8587264\"]\n  12 [size=\"45263360\", alpha=\"0.15\", expect_size=\"18105344\"] \n  12 -> 16 [size =\"18105344\"]\n  13 [size=\"104424960\", alpha=\"0.18\", expect_size=\"41769984\"] \n  13 -> 14 [size =\"41769984\"]\n  13 -> 15 [size =\"41769984\"]\n  14 [size=\"123133440\", alpha=\"0.08\", expect_size=\"49253376\"] \n  14 -> 19 [size =\"49253376\"]\n  15 [size=\"84426240\", alpha=\"0.05\", expect_size=\"33770496\"] \n  15 -> 17 [size =\"33770496\"]\n  15 -> 18 [size =\"33770496\"]\n  16 [size=\"115182080\", alpha=\"0.06\", expect_size=\"46072832\"] \n  17 [size=\"113594880\", alpha=\"0.07\", expect_size=\"45437952\"] \n  17 -> 20 [size =\"45437952\"]\n  17 -> 21 [size =\"45437952\"]\n  18 [size=\"22213120\", alpha=\"0.06\", expect_size=\"8885248\"] \n  19 [size=\"106237440\", alpha=\"0.16\", expect_size=\"42494976\"] \n  19 -> 22 [size =\"42494976\"]\n  20 [size=\"112330240\", alpha=\"0.12\", expect_size=\"44932096\"] \n  20 -> 23 [size =\"44932096\"]\n  21 [size=\"14689280\", alpha=\"0.06\", expect_size=\"5875712\"] \n  21 -> 23 [size =\"5875712\"]\n  21 -> 24 [size =\"5875712\"]\n  22 [size=\"22622720\", alpha=\"0.19\", expect_size=\"9049088\"] \n  22 -> 24 [size =\"9049088\"]\n  23 [size=\"113003520\", alpha=\"0.16\", expect_size=\"45201408\"] \n  23 -> 27 [size =\"45201408\"]\n  24 [size=\"102589440\", alpha=\"0.13\", expect_size=\"41035776\"] \n  24 -> 25 [size =\"41035776\"]\n  24 -> 26 [size =\"41035776\"]\n  25 [size=\"31833600\", alpha=\"0.02\", expect_size=\"12733440\"] \n  25 -> 28 [size =\"12733440\"]\n  25 -> 29 [size =\"12733440\"]\n  26 [size=\"64117760\", alpha=\"0.17\", expect_size=\"25647104\"] \n  27 [size=\"102013440\", alpha=\"0.17\", expect_size=\"40805376\"] \n  27 -> 30 [size =\"40805376\"]\n  28 [size=\"24890880\", alpha=\"0.14\", expect_size=\"9956352\"] \n  28 -> 31 [size =\"9956352\"]\n  29 [size=\"59056640\", alpha=\"0.03\", expect_size=\"23622656\"] \n  29 -> 31 [size =\"23622656\"]\n  29 -> 32 [size =\"23622656\"]\n  30 [size=\"37322240\", alpha=\"0.18\", expect_size=\"14928896\"] \n  30 -> 32 [size =\"14928896\"]\n  31 [size=\"110041600\", alpha=\"0.14\", expect_size=\"44016640\"] \n  31 -> 35 [size =\"44016640\"]\n  32 [size=\"26987520\", alpha=\"0.15\", expect_size=\"10795008\"] \n  32 -> 33 [size =\"10795008\"]\n  32 -> 34 [size =\"10795008\"]\n  33 [size=\"20856320\", alpha=\"0.12\", expect_size=\"8342528\"] \n  33 -> 38 [size =\"8342528\"]\n  34 [size=\"114946560\", alpha=\"0.08\", expect_size=\"45978624\"] \n  34 -> 36 [size =\"45978624\"]\n  35 [size=\"73648640\", alpha=\"0.16\", expect_size=\"29459456\"] \n  35 -> 37 [size =\"29459456\"]\n  35 -> 38 [size =\"29459456\"]\n  36 [size=\"85127680\", alpha=\"0.01\", expect_size=\"34051072\"] \n  37 [size=\"68656640\", alpha=\"0.03\", expect_size=\"27462656\"] \n  37 -> 39 [size =\"27462656\"]\n  37 -> 40 [size =\"27462656\"]\n  38 [size=\"53501440\", alpha=\"0.07\", expect_size=\"21400576\"] \n  38 -> 40 [size =\"21400576\"]\n  39 [size=\"17602560\", alpha=\"0.07\", expect_size=\"7041024\"] \n  39 -> 42 [size =\"7041024\"]\n  40 [size=\"34160640\", alpha=\"0.03\", expect_size=\"13664256\"] \n  40 -> 41 [size =\"13664256\"]\n  40 -> 43 [size =\"13664256\"]\n  41 [size=\"19676160\", alpha=\"0.19\", expect_size=\"7870464\"] \n  41 -> 44 [size =\"7870464\"]\n  41 -> 45 [size =\"7870464\"]\n  42 [size=\"100477440\", alpha=\"0.18\", expect_size=\"40190976\"] \n  43 [size=\"72793600\", alpha=\"0.13\", expect_size=\"29117440\"] \n  44 [size=\"27942400\", alpha=\"0.03\", expect_size=\"11176960\"] \n  44 -> 47 [size =\"11176960\"]\n  45 [size=\"75955200\", alpha=\"0.17\", expect_size=\"30382080\"] \n  45 -> 46 [size =\"30382080\"]\n  46 [size=\"52218880\", alpha=\"0.19\", expect_size=\"20887552\"] \n  46 -> 48 [size =\"20887552\"]\n  46 -> 50 [size =\"20887552\"]\n  47 [size=\"58810880\", alpha=\"0.16\", expect_size=\"23524352\"] \n  47 -> 49 [size =\"23524352\"]\n  48 [size=\"78256640\", alpha=\"0.15\", expect_size=\"31302656\"] \n  49 [size=\"119664640\", alpha=\"0.02\", expect_size=\"47865856\"] \n  50 [size=\"40235520\", alpha=\"0.13\", expect_size=\"16094208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.305.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66073600\", alpha=\"0.12\", expect_size=\"26429440\"] \n  1 -> 6 [size =\"26429440\"]\n  1 -> 7 [size =\"26429440\"]\n  1 -> 10 [size =\"26429440\"]\n  2 [size=\"36700160\", alpha=\"0.02\", expect_size=\"14680064\"] \n  2 -> 7 [size =\"14680064\"]\n  3 [size=\"31285760\", alpha=\"0.04\", expect_size=\"12514304\"] \n  3 -> 7 [size =\"12514304\"]\n  4 [size=\"98257920\", alpha=\"0.07\", expect_size=\"39303168\"] \n  4 -> 6 [size =\"39303168\"]\n  5 [size=\"60439040\", alpha=\"0.10\", expect_size=\"24175616\"] \n  5 -> 6 [size =\"24175616\"]\n  5 -> 8 [size =\"24175616\"]\n  5 -> 9 [size =\"24175616\"]\n  6 [size=\"34752000\", alpha=\"0.12\", expect_size=\"13900800\"] \n  6 -> 13 [size =\"13900800\"]\n  6 -> 14 [size =\"13900800\"]\n  6 -> 16 [size =\"13900800\"]\n  6 -> 17 [size =\"13900800\"]\n  6 -> 18 [size =\"13900800\"]\n  7 [size=\"98094080\", alpha=\"0.09\", expect_size=\"39237632\"] \n  7 -> 16 [size =\"39237632\"]\n  7 -> 18 [size =\"39237632\"]\n  8 [size=\"17328640\", alpha=\"0.03\", expect_size=\"6931456\"] \n  8 -> 11 [size =\"6931456\"]\n  9 [size=\"60787200\", alpha=\"0.07\", expect_size=\"24314880\"] \n  9 -> 11 [size =\"24314880\"]\n  9 -> 12 [size =\"24314880\"]\n  9 -> 13 [size =\"24314880\"]\n  9 -> 14 [size =\"24314880\"]\n  9 -> 16 [size =\"24314880\"]\n  9 -> 17 [size =\"24314880\"]\n  10 [size=\"80076800\", alpha=\"0.04\", expect_size=\"32030720\"] \n  10 -> 14 [size =\"32030720\"]\n  10 -> 15 [size =\"32030720\"]\n  10 -> 18 [size =\"32030720\"]\n  11 [size=\"109012480\", alpha=\"0.10\", expect_size=\"43604992\"] \n  11 -> 19 [size =\"43604992\"]\n  11 -> 20 [size =\"43604992\"]\n  11 -> 22 [size =\"43604992\"]\n  11 -> 23 [size =\"43604992\"]\n  12 [size=\"64586240\", alpha=\"0.07\", expect_size=\"25834496\"] \n  12 -> 21 [size =\"25834496\"]\n  12 -> 22 [size =\"25834496\"]\n  12 -> 24 [size =\"25834496\"]\n  13 [size=\"77217280\", alpha=\"0.10\", expect_size=\"30886912\"] \n  13 -> 19 [size =\"30886912\"]\n  13 -> 21 [size =\"30886912\"]\n  13 -> 22 [size =\"30886912\"]\n  13 -> 24 [size =\"30886912\"]\n  14 [size=\"99000320\", alpha=\"0.12\", expect_size=\"39600128\"] \n  14 -> 21 [size =\"39600128\"]\n  15 [size=\"20416000\", alpha=\"0.01\", expect_size=\"8166400\"] \n  16 [size=\"78136320\", alpha=\"0.03\", expect_size=\"31254528\"] \n  16 -> 24 [size =\"31254528\"]\n  17 [size=\"29076480\", alpha=\"0.06\", expect_size=\"11630592\"] \n  17 -> 21 [size =\"11630592\"]\n  17 -> 22 [size =\"11630592\"]\n  17 -> 24 [size =\"11630592\"]\n  18 [size=\"81625600\", alpha=\"0.14\", expect_size=\"32650240\"] \n  18 -> 20 [size =\"32650240\"]\n  19 [size=\"99079680\", alpha=\"0.02\", expect_size=\"39631872\"] \n  20 [size=\"19504640\", alpha=\"0.12\", expect_size=\"7801856\"] \n  20 -> 26 [size =\"7801856\"]\n  21 [size=\"41576960\", alpha=\"0.11\", expect_size=\"16630784\"] \n  22 [size=\"101977600\", alpha=\"0.14\", expect_size=\"40791040\"] \n  22 -> 25 [size =\"40791040\"]\n  22 -> 27 [size =\"40791040\"]\n  23 [size=\"25477120\", alpha=\"0.00\", expect_size=\"10190848\"] \n  23 -> 27 [size =\"10190848\"]\n  24 [size=\"86894080\", alpha=\"0.01\", expect_size=\"34757632\"] \n  24 -> 25 [size =\"34757632\"]\n  25 [size=\"37831680\", alpha=\"0.09\", expect_size=\"15132672\"] \n  25 -> 28 [size =\"15132672\"]\n  25 -> 29 [size =\"15132672\"]\n  25 -> 31 [size =\"15132672\"]\n  26 [size=\"44121600\", alpha=\"0.02\", expect_size=\"17648640\"] \n  26 -> 30 [size =\"17648640\"]\n  27 [size=\"62010880\", alpha=\"0.08\", expect_size=\"24804352\"] \n  28 [size=\"98229760\", alpha=\"0.16\", expect_size=\"39291904\"] \n  28 -> 33 [size =\"39291904\"]\n  28 -> 34 [size =\"39291904\"]\n  28 -> 35 [size =\"39291904\"]\n  29 [size=\"60564480\", alpha=\"0.11\", expect_size=\"24225792\"] \n  30 [size=\"72934400\", alpha=\"0.18\", expect_size=\"29173760\"] \n  30 -> 32 [size =\"29173760\"]\n  30 -> 35 [size =\"29173760\"]\n  31 [size=\"26493440\", alpha=\"0.01\", expect_size=\"10597376\"] \n  31 -> 32 [size =\"10597376\"]\n  32 [size=\"92175360\", alpha=\"0.13\", expect_size=\"36870144\"] \n  32 -> 36 [size =\"36870144\"]\n  32 -> 37 [size =\"36870144\"]\n  33 [size=\"57646080\", alpha=\"0.15\", expect_size=\"23058432\"] \n  33 -> 36 [size =\"23058432\"]\n  34 [size=\"59046400\", alpha=\"0.12\", expect_size=\"23618560\"] \n  35 [size=\"63564800\", alpha=\"0.11\", expect_size=\"25425920\"] \n  35 -> 38 [size =\"25425920\"]\n  35 -> 39 [size =\"25425920\"]\n  36 [size=\"118535680\", alpha=\"0.00\", expect_size=\"47414272\"] \n  36 -> 42 [size =\"47414272\"]\n  36 -> 44 [size =\"47414272\"]\n  36 -> 48 [size =\"47414272\"]\n  37 [size=\"127639040\", alpha=\"0.13\", expect_size=\"51055616\"] \n  37 -> 40 [size =\"51055616\"]\n  37 -> 41 [size =\"51055616\"]\n  37 -> 47 [size =\"51055616\"]\n  38 [size=\"57902080\", alpha=\"0.16\", expect_size=\"23160832\"] \n  38 -> 46 [size =\"23160832\"]\n  39 [size=\"31505920\", alpha=\"0.15\", expect_size=\"12602368\"] \n  39 -> 41 [size =\"12602368\"]\n  39 -> 43 [size =\"12602368\"]\n  39 -> 45 [size =\"12602368\"]\n  39 -> 46 [size =\"12602368\"]\n  39 -> 48 [size =\"12602368\"]\n  40 [size=\"96138240\", alpha=\"0.14\", expect_size=\"38455296\"] \n  41 [size=\"82833920\", alpha=\"0.18\", expect_size=\"33133568\"] \n  41 -> 49 [size =\"33133568\"]\n  42 [size=\"87503360\", alpha=\"0.18\", expect_size=\"35001344\"] \n  42 -> 49 [size =\"35001344\"]\n  42 -> 50 [size =\"35001344\"]\n  43 [size=\"43660800\", alpha=\"0.19\", expect_size=\"17464320\"] \n  43 -> 50 [size =\"17464320\"]\n  44 [size=\"15421440\", alpha=\"0.13\", expect_size=\"6168576\"] \n  45 [size=\"88673280\", alpha=\"0.11\", expect_size=\"35469312\"] \n  46 [size=\"34803200\", alpha=\"0.15\", expect_size=\"13921280\"] \n  47 [size=\"36805120\", alpha=\"0.06\", expect_size=\"14722048\"] \n  47 -> 49 [size =\"14722048\"]\n  48 [size=\"110648320\", alpha=\"0.13\", expect_size=\"44259328\"] \n  48 -> 49 [size =\"44259328\"]\n  49 [size=\"88924160\", alpha=\"0.07\", expect_size=\"35569664\"] \n  50 [size=\"57607680\", alpha=\"0.11\", expect_size=\"23043072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.306.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65027413\", alpha=\"0.19\", expect_size=\"19508224\"] \n  1 -> 4 [size =\"19508224\"]\n  1 -> 5 [size =\"19508224\"]\n  1 -> 6 [size =\"19508224\"]\n  2 [size=\"38912000\", alpha=\"0.09\", expect_size=\"11673600\"] \n  2 -> 5 [size =\"11673600\"]\n  2 -> 6 [size =\"11673600\"]\n  3 [size=\"158733653\", alpha=\"0.13\", expect_size=\"47620096\"] \n  3 -> 6 [size =\"47620096\"]\n  4 [size=\"84821333\", alpha=\"0.09\", expect_size=\"25446400\"] \n  4 -> 8 [size =\"25446400\"]\n  4 -> 9 [size =\"25446400\"]\n  5 [size=\"164430507\", alpha=\"0.12\", expect_size=\"49329152\"] \n  6 [size=\"67310933\", alpha=\"0.01\", expect_size=\"20193280\"] \n  6 -> 7 [size =\"20193280\"]\n  6 -> 9 [size =\"20193280\"]\n  7 [size=\"131959467\", alpha=\"0.04\", expect_size=\"39587840\"] \n  7 -> 10 [size =\"39587840\"]\n  7 -> 11 [size =\"39587840\"]\n  7 -> 12 [size =\"39587840\"]\n  8 [size=\"119633920\", alpha=\"0.11\", expect_size=\"35890176\"] \n  8 -> 10 [size =\"35890176\"]\n  8 -> 11 [size =\"35890176\"]\n  8 -> 12 [size =\"35890176\"]\n  9 [size=\"44315307\", alpha=\"0.14\", expect_size=\"13294592\"] \n  9 -> 10 [size =\"13294592\"]\n  9 -> 12 [size =\"13294592\"]\n  10 [size=\"133188267\", alpha=\"0.19\", expect_size=\"39956480\"] \n  10 -> 14 [size =\"39956480\"]\n  10 -> 15 [size =\"39956480\"]\n  10 -> 16 [size =\"39956480\"]\n  11 [size=\"122999467\", alpha=\"0.13\", expect_size=\"36899840\"] \n  11 -> 13 [size =\"36899840\"]\n  11 -> 14 [size =\"36899840\"]\n  12 [size=\"113599147\", alpha=\"0.03\", expect_size=\"34079744\"] \n  12 -> 13 [size =\"34079744\"]\n  13 [size=\"29528747\", alpha=\"0.09\", expect_size=\"8858624\"] \n  14 [size=\"134341973\", alpha=\"0.05\", expect_size=\"40302592\"] \n  14 -> 17 [size =\"40302592\"]\n  15 [size=\"51353600\", alpha=\"0.20\", expect_size=\"15406080\"] \n  15 -> 17 [size =\"15406080\"]\n  16 [size=\"144080213\", alpha=\"0.18\", expect_size=\"43224064\"] \n  17 [size=\"153521493\", alpha=\"0.05\", expect_size=\"46056448\"] \n  17 -> 18 [size =\"46056448\"]\n  17 -> 19 [size =\"46056448\"]\n  18 [size=\"28685653\", alpha=\"0.19\", expect_size=\"8605696\"] \n  19 [size=\"111469227\", alpha=\"0.03\", expect_size=\"33440768\"] \n  19 -> 20 [size =\"33440768\"]\n  20 [size=\"67601067\", alpha=\"0.07\", expect_size=\"20280320\"] \n  20 -> 21 [size =\"20280320\"]\n  20 -> 22 [size =\"20280320\"]\n  21 [size=\"55961600\", alpha=\"0.18\", expect_size=\"16788480\"] \n  21 -> 23 [size =\"16788480\"]\n  22 [size=\"155658240\", alpha=\"0.11\", expect_size=\"46697472\"] \n  22 -> 24 [size =\"46697472\"]\n  23 [size=\"21579093\", alpha=\"0.02\", expect_size=\"6473728\"] \n  23 -> 25 [size =\"6473728\"]\n  23 -> 26 [size =\"6473728\"]\n  24 [size=\"88565760\", alpha=\"0.02\", expect_size=\"26569728\"] \n  24 -> 25 [size =\"26569728\"]\n  24 -> 26 [size =\"26569728\"]\n  25 [size=\"127556267\", alpha=\"0.01\", expect_size=\"38266880\"] \n  25 -> 27 [size =\"38266880\"]\n  26 [size=\"125579947\", alpha=\"0.06\", expect_size=\"37673984\"] \n  26 -> 27 [size =\"37673984\"]\n  27 [size=\"108759040\", alpha=\"0.05\", expect_size=\"32627712\"] \n  27 -> 28 [size =\"32627712\"]\n  27 -> 29 [size =\"32627712\"]\n  27 -> 30 [size =\"32627712\"]\n  27 -> 31 [size =\"32627712\"]\n  28 [size=\"150432427\", alpha=\"0.18\", expect_size=\"45129728\"] \n  28 -> 32 [size =\"45129728\"]\n  29 [size=\"140721493\", alpha=\"0.14\", expect_size=\"42216448\"] \n  29 -> 32 [size =\"42216448\"]\n  30 [size=\"160556373\", alpha=\"0.04\", expect_size=\"48166912\"] \n  30 -> 32 [size =\"48166912\"]\n  31 [size=\"59248640\", alpha=\"0.08\", expect_size=\"17774592\"] \n  31 -> 32 [size =\"17774592\"]\n  31 -> 33 [size =\"17774592\"]\n  32 [size=\"41639253\", alpha=\"0.05\", expect_size=\"12491776\"] \n  32 -> 34 [size =\"12491776\"]\n  32 -> 35 [size =\"12491776\"]\n  33 [size=\"129160533\", alpha=\"0.02\", expect_size=\"38748160\"] \n  33 -> 34 [size =\"38748160\"]\n  33 -> 35 [size =\"38748160\"]\n  34 [size=\"148500480\", alpha=\"0.15\", expect_size=\"44550144\"] \n  34 -> 36 [size =\"44550144\"]\n  34 -> 37 [size =\"44550144\"]\n  34 -> 38 [size =\"44550144\"]\n  35 [size=\"167010987\", alpha=\"0.12\", expect_size=\"50103296\"] \n  35 -> 36 [size =\"50103296\"]\n  35 -> 37 [size =\"50103296\"]\n  35 -> 38 [size =\"50103296\"]\n  36 [size=\"174356480\", alpha=\"0.05\", expect_size=\"52306944\"] \n  36 -> 39 [size =\"52306944\"]\n  36 -> 40 [size =\"52306944\"]\n  36 -> 41 [size =\"52306944\"]\n  37 [size=\"63095467\", alpha=\"0.15\", expect_size=\"18928640\"] \n  37 -> 40 [size =\"18928640\"]\n  38 [size=\"104994133\", alpha=\"0.07\", expect_size=\"31498240\"] \n  38 -> 40 [size =\"31498240\"]\n  39 [size=\"87637333\", alpha=\"0.11\", expect_size=\"26291200\"] \n  39 -> 42 [size =\"26291200\"]\n  39 -> 43 [size =\"26291200\"]\n  40 [size=\"37870933\", alpha=\"0.01\", expect_size=\"11361280\"] \n  40 -> 42 [size =\"11361280\"]\n  40 -> 43 [size =\"11361280\"]\n  41 [size=\"71410347\", alpha=\"0.16\", expect_size=\"21423104\"] \n  41 -> 42 [size =\"21423104\"]\n  42 [size=\"136485547\", alpha=\"0.08\", expect_size=\"40945664\"] \n  42 -> 44 [size =\"40945664\"]\n  42 -> 45 [size =\"40945664\"]\n  42 -> 46 [size =\"40945664\"]\n  43 [size=\"171939840\", alpha=\"0.01\", expect_size=\"51581952\"] \n  43 -> 44 [size =\"51581952\"]\n  43 -> 45 [size =\"51581952\"]\n  43 -> 46 [size =\"51581952\"]\n  44 [size=\"32539307\", alpha=\"0.03\", expect_size=\"9761792\"] \n  45 [size=\"149722453\", alpha=\"0.20\", expect_size=\"44916736\"] \n  45 -> 47 [size =\"44916736\"]\n  46 [size=\"85514240\", alpha=\"0.09\", expect_size=\"25654272\"] \n  46 -> 47 [size =\"25654272\"]\n  47 [size=\"123798187\", alpha=\"0.11\", expect_size=\"37139456\"] \n  47 -> 48 [size =\"37139456\"]\n  47 -> 49 [size =\"37139456\"]\n  48 [size=\"86056960\", alpha=\"0.09\", expect_size=\"25817088\"] \n  48 -> 50 [size =\"25817088\"]\n  49 [size=\"140786347\", alpha=\"0.03\", expect_size=\"42235904\"] \n  49 -> 50 [size =\"42235904\"]\n  50 [size=\"67403093\", alpha=\"0.16\", expect_size=\"20220928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.307.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46914560\", alpha=\"0.02\", expect_size=\"18765824\"] \n  1 -> 17 [size =\"18765824\"]\n  1 -> 24 [size =\"18765824\"]\n  1 -> 27 [size =\"18765824\"]\n  1 -> 29 [size =\"18765824\"]\n  1 -> 30 [size =\"18765824\"]\n  2 [size=\"43491840\", alpha=\"0.02\", expect_size=\"17396736\"] \n  2 -> 21 [size =\"17396736\"]\n  2 -> 23 [size =\"17396736\"]\n  2 -> 27 [size =\"17396736\"]\n  2 -> 28 [size =\"17396736\"]\n  2 -> 29 [size =\"17396736\"]\n  3 [size=\"129566720\", alpha=\"0.15\", expect_size=\"51826688\"] \n  3 -> 17 [size =\"51826688\"]\n  3 -> 18 [size =\"51826688\"]\n  3 -> 19 [size =\"51826688\"]\n  3 -> 22 [size =\"51826688\"]\n  3 -> 24 [size =\"51826688\"]\n  3 -> 29 [size =\"51826688\"]\n  3 -> 30 [size =\"51826688\"]\n  4 [size=\"120186880\", alpha=\"0.09\", expect_size=\"48074752\"] \n  4 -> 19 [size =\"48074752\"]\n  4 -> 22 [size =\"48074752\"]\n  4 -> 24 [size =\"48074752\"]\n  4 -> 27 [size =\"48074752\"]\n  4 -> 29 [size =\"48074752\"]\n  4 -> 30 [size =\"48074752\"]\n  5 [size=\"117091840\", alpha=\"0.09\", expect_size=\"46836736\"] \n  5 -> 15 [size =\"46836736\"]\n  5 -> 19 [size =\"46836736\"]\n  5 -> 22 [size =\"46836736\"]\n  5 -> 29 [size =\"46836736\"]\n  5 -> 30 [size =\"46836736\"]\n  6 [size=\"115799040\", alpha=\"0.01\", expect_size=\"46319616\"] \n  6 -> 15 [size =\"46319616\"]\n  6 -> 17 [size =\"46319616\"]\n  6 -> 19 [size =\"46319616\"]\n  6 -> 21 [size =\"46319616\"]\n  6 -> 29 [size =\"46319616\"]\n  6 -> 30 [size =\"46319616\"]\n  7 [size=\"97367040\", alpha=\"0.18\", expect_size=\"38946816\"] \n  7 -> 16 [size =\"38946816\"]\n  7 -> 18 [size =\"38946816\"]\n  7 -> 21 [size =\"38946816\"]\n  7 -> 24 [size =\"38946816\"]\n  7 -> 26 [size =\"38946816\"]\n  7 -> 27 [size =\"38946816\"]\n  7 -> 29 [size =\"38946816\"]\n  8 [size=\"25251840\", alpha=\"0.07\", expect_size=\"10100736\"] \n  8 -> 15 [size =\"10100736\"]\n  8 -> 16 [size =\"10100736\"]\n  8 -> 18 [size =\"10100736\"]\n  8 -> 19 [size =\"10100736\"]\n  8 -> 21 [size =\"10100736\"]\n  9 [size=\"24107520\", alpha=\"0.18\", expect_size=\"9643008\"] \n  9 -> 15 [size =\"9643008\"]\n  9 -> 17 [size =\"9643008\"]\n  9 -> 18 [size =\"9643008\"]\n  9 -> 19 [size =\"9643008\"]\n  9 -> 21 [size =\"9643008\"]\n  9 -> 22 [size =\"9643008\"]\n  9 -> 23 [size =\"9643008\"]\n  9 -> 25 [size =\"9643008\"]\n  9 -> 28 [size =\"9643008\"]\n  9 -> 30 [size =\"9643008\"]\n  10 [size=\"53498880\", alpha=\"0.16\", expect_size=\"21399552\"] \n  10 -> 17 [size =\"21399552\"]\n  10 -> 27 [size =\"21399552\"]\n  11 [size=\"130068480\", alpha=\"0.18\", expect_size=\"52027392\"] \n  11 -> 20 [size =\"52027392\"]\n  11 -> 22 [size =\"52027392\"]\n  11 -> 24 [size =\"52027392\"]\n  11 -> 29 [size =\"52027392\"]\n  12 [size=\"24811520\", alpha=\"0.09\", expect_size=\"9924608\"] \n  12 -> 17 [size =\"9924608\"]\n  12 -> 24 [size =\"9924608\"]\n  12 -> 24 [size =\"9924608\"]\n  12 -> 27 [size =\"9924608\"]\n  13 [size=\"34716160\", alpha=\"0.19\", expect_size=\"13886464\"] \n  13 -> 17 [size =\"13886464\"]\n  13 -> 18 [size =\"13886464\"]\n  13 -> 19 [size =\"13886464\"]\n  13 -> 20 [size =\"13886464\"]\n  13 -> 21 [size =\"13886464\"]\n  13 -> 27 [size =\"13886464\"]\n  13 -> 29 [size =\"13886464\"]\n  14 [size=\"120637440\", alpha=\"0.15\", expect_size=\"48254976\"] \n  14 -> 19 [size =\"48254976\"]\n  14 -> 20 [size =\"48254976\"]\n  14 -> 21 [size =\"48254976\"]\n  14 -> 22 [size =\"48254976\"]\n  14 -> 24 [size =\"48254976\"]\n  15 [size=\"55168000\", alpha=\"0.19\", expect_size=\"22067200\"] \n  15 -> 31 [size =\"22067200\"]\n  15 -> 32 [size =\"22067200\"]\n  15 -> 35 [size =\"22067200\"]\n  15 -> 46 [size =\"22067200\"]\n  16 [size=\"109038080\", alpha=\"0.06\", expect_size=\"43615232\"] \n  16 -> 31 [size =\"43615232\"]\n  16 -> 32 [size =\"43615232\"]\n  16 -> 37 [size =\"43615232\"]\n  16 -> 39 [size =\"43615232\"]\n  16 -> 41 [size =\"43615232\"]\n  16 -> 42 [size =\"43615232\"]\n  16 -> 43 [size =\"43615232\"]\n  16 -> 44 [size =\"43615232\"]\n  16 -> 46 [size =\"43615232\"]\n  17 [size=\"114872320\", alpha=\"0.15\", expect_size=\"45948928\"] \n  17 -> 36 [size =\"45948928\"]\n  17 -> 37 [size =\"45948928\"]\n  17 -> 42 [size =\"45948928\"]\n  17 -> 43 [size =\"45948928\"]\n  17 -> 44 [size =\"45948928\"]\n  17 -> 45 [size =\"45948928\"]\n  17 -> 46 [size =\"45948928\"]\n  18 [size=\"103754240\", alpha=\"0.14\", expect_size=\"41501696\"] \n  18 -> 35 [size =\"41501696\"]\n  18 -> 37 [size =\"41501696\"]\n  18 -> 43 [size =\"41501696\"]\n  18 -> 44 [size =\"41501696\"]\n  19 [size=\"28651520\", alpha=\"0.02\", expect_size=\"11460608\"] \n  19 -> 32 [size =\"11460608\"]\n  19 -> 34 [size =\"11460608\"]\n  19 -> 35 [size =\"11460608\"]\n  19 -> 38 [size =\"11460608\"]\n  19 -> 43 [size =\"11460608\"]\n  19 -> 44 [size =\"11460608\"]\n  20 [size=\"17530880\", alpha=\"0.07\", expect_size=\"7012352\"] \n  20 -> 36 [size =\"7012352\"]\n  20 -> 39 [size =\"7012352\"]\n  20 -> 41 [size =\"7012352\"]\n  20 -> 42 [size =\"7012352\"]\n  20 -> 44 [size =\"7012352\"]\n  20 -> 46 [size =\"7012352\"]\n  21 [size=\"113945600\", alpha=\"0.19\", expect_size=\"45578240\"] \n  21 -> 33 [size =\"45578240\"]\n  21 -> 34 [size =\"45578240\"]\n  21 -> 40 [size =\"45578240\"]\n  21 -> 42 [size =\"45578240\"]\n  21 -> 43 [size =\"45578240\"]\n  21 -> 44 [size =\"45578240\"]\n  22 [size=\"99361280\", alpha=\"0.15\", expect_size=\"39744512\"] \n  22 -> 31 [size =\"39744512\"]\n  22 -> 33 [size =\"39744512\"]\n  22 -> 35 [size =\"39744512\"]\n  22 -> 38 [size =\"39744512\"]\n  22 -> 39 [size =\"39744512\"]\n  22 -> 40 [size =\"39744512\"]\n  22 -> 41 [size =\"39744512\"]\n  22 -> 42 [size =\"39744512\"]\n  22 -> 44 [size =\"39744512\"]\n  23 [size=\"35425280\", alpha=\"0.11\", expect_size=\"14170112\"] \n  23 -> 35 [size =\"14170112\"]\n  23 -> 36 [size =\"14170112\"]\n  23 -> 37 [size =\"14170112\"]\n  23 -> 42 [size =\"14170112\"]\n  23 -> 44 [size =\"14170112\"]\n  23 -> 45 [size =\"14170112\"]\n  24 [size=\"26954240\", alpha=\"0.06\", expect_size=\"10781696\"] \n  24 -> 32 [size =\"10781696\"]\n  24 -> 33 [size =\"10781696\"]\n  24 -> 34 [size =\"10781696\"]\n  24 -> 35 [size =\"10781696\"]\n  24 -> 41 [size =\"10781696\"]\n  24 -> 42 [size =\"10781696\"]\n  24 -> 43 [size =\"10781696\"]\n  24 -> 45 [size =\"10781696\"]\n  24 -> 46 [size =\"10781696\"]\n  25 [size=\"113236480\", alpha=\"0.18\", expect_size=\"45294592\"] \n  25 -> 37 [size =\"45294592\"]\n  25 -> 41 [size =\"45294592\"]\n  25 -> 42 [size =\"45294592\"]\n  25 -> 43 [size =\"45294592\"]\n  25 -> 46 [size =\"45294592\"]\n  26 [size=\"107896320\", alpha=\"0.07\", expect_size=\"43158528\"] \n  26 -> 32 [size =\"43158528\"]\n  26 -> 36 [size =\"43158528\"]\n  26 -> 37 [size =\"43158528\"]\n  26 -> 42 [size =\"43158528\"]\n  26 -> 44 [size =\"43158528\"]\n  26 -> 45 [size =\"43158528\"]\n  27 [size=\"25835520\", alpha=\"0.11\", expect_size=\"10334208\"] \n  27 -> 32 [size =\"10334208\"]\n  27 -> 36 [size =\"10334208\"]\n  27 -> 39 [size =\"10334208\"]\n  27 -> 45 [size =\"10334208\"]\n  27 -> 46 [size =\"10334208\"]\n  28 [size=\"114849280\", alpha=\"0.16\", expect_size=\"45939712\"] \n  28 -> 31 [size =\"45939712\"]\n  28 -> 32 [size =\"45939712\"]\n  28 -> 37 [size =\"45939712\"]\n  28 -> 44 [size =\"45939712\"]\n  29 [size=\"78067200\", alpha=\"0.04\", expect_size=\"31226880\"] \n  29 -> 31 [size =\"31226880\"]\n  29 -> 32 [size =\"31226880\"]\n  29 -> 36 [size =\"31226880\"]\n  29 -> 46 [size =\"31226880\"]\n  30 [size=\"89274880\", alpha=\"0.18\", expect_size=\"35709952\"] \n  30 -> 31 [size =\"35709952\"]\n  30 -> 32 [size =\"35709952\"]\n  30 -> 35 [size =\"35709952\"]\n  30 -> 38 [size =\"35709952\"]\n  30 -> 39 [size =\"35709952\"]\n  30 -> 41 [size =\"35709952\"]\n  30 -> 42 [size =\"35709952\"]\n  30 -> 43 [size =\"35709952\"]\n  31 [size=\"15226880\", alpha=\"0.13\", expect_size=\"6090752\"] \n  31 -> 47 [size =\"6090752\"]\n  31 -> 48 [size =\"6090752\"]\n  31 -> 49 [size =\"6090752\"]\n  31 -> 50 [size =\"6090752\"]\n  32 [size=\"125662720\", alpha=\"0.09\", expect_size=\"50265088\"] \n  32 -> 47 [size =\"50265088\"]\n  33 [size=\"97072640\", alpha=\"0.09\", expect_size=\"38829056\"] \n  33 -> 47 [size =\"38829056\"]\n  34 [size=\"45918720\", alpha=\"0.07\", expect_size=\"18367488\"] \n  34 -> 49 [size =\"18367488\"]\n  35 [size=\"79283200\", alpha=\"0.12\", expect_size=\"31713280\"] \n  35 -> 47 [size =\"31713280\"]\n  35 -> 50 [size =\"31713280\"]\n  36 [size=\"65221120\", alpha=\"0.14\", expect_size=\"26088448\"] \n  36 -> 48 [size =\"26088448\"]\n  37 [size=\"106426880\", alpha=\"0.13\", expect_size=\"42570752\"] \n  37 -> 48 [size =\"42570752\"]\n  37 -> 50 [size =\"42570752\"]\n  38 [size=\"51230720\", alpha=\"0.07\", expect_size=\"20492288\"] \n  38 -> 47 [size =\"20492288\"]\n  38 -> 48 [size =\"20492288\"]\n  38 -> 50 [size =\"20492288\"]\n  39 [size=\"29742080\", alpha=\"0.03\", expect_size=\"11896832\"] \n  40 [size=\"52963840\", alpha=\"0.01\", expect_size=\"21185536\"] \n  40 -> 47 [size =\"21185536\"]\n  41 [size=\"43325440\", alpha=\"0.16\", expect_size=\"17330176\"] \n  41 -> 47 [size =\"17330176\"]\n  41 -> 49 [size =\"17330176\"]\n  42 [size=\"117788160\", alpha=\"0.05\", expect_size=\"47115264\"] \n  42 -> 47 [size =\"47115264\"]\n  42 -> 50 [size =\"47115264\"]\n  43 [size=\"52129280\", alpha=\"0.18\", expect_size=\"20851712\"] \n  43 -> 47 [size =\"20851712\"]\n  44 [size=\"103889920\", alpha=\"0.13\", expect_size=\"41555968\"] \n  44 -> 47 [size =\"41555968\"]\n  44 -> 49 [size =\"41555968\"]\n  45 [size=\"26705920\", alpha=\"0.06\", expect_size=\"10682368\"] \n  45 -> 48 [size =\"10682368\"]\n  45 -> 50 [size =\"10682368\"]\n  46 [size=\"98567680\", alpha=\"0.14\", expect_size=\"39427072\"] \n  46 -> 50 [size =\"39427072\"]\n  47 [size=\"61511680\", alpha=\"0.05\", expect_size=\"24604672\"] \n  48 [size=\"17308160\", alpha=\"0.13\", expect_size=\"6923264\"] \n  49 [size=\"56599040\", alpha=\"0.11\", expect_size=\"22639616\"] \n  50 [size=\"76971520\", alpha=\"0.03\", expect_size=\"30788608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.308.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73832960\", alpha=\"0.03\", expect_size=\"29533184\"] \n  1 -> 36 [size =\"29533184\"]\n  1 -> 38 [size =\"29533184\"]\n  1 -> 40 [size =\"29533184\"]\n  1 -> 41 [size =\"29533184\"]\n  2 [size=\"71861760\", alpha=\"0.17\", expect_size=\"28744704\"] \n  2 -> 36 [size =\"28744704\"]\n  2 -> 39 [size =\"28744704\"]\n  2 -> 40 [size =\"28744704\"]\n  2 -> 41 [size =\"28744704\"]\n  2 -> 42 [size =\"28744704\"]\n  2 -> 48 [size =\"28744704\"]\n  3 [size=\"35443200\", alpha=\"0.10\", expect_size=\"14177280\"] \n  3 -> 34 [size =\"14177280\"]\n  3 -> 35 [size =\"14177280\"]\n  3 -> 37 [size =\"14177280\"]\n  3 -> 38 [size =\"14177280\"]\n  3 -> 39 [size =\"14177280\"]\n  3 -> 40 [size =\"14177280\"]\n  3 -> 42 [size =\"14177280\"]\n  3 -> 43 [size =\"14177280\"]\n  3 -> 45 [size =\"14177280\"]\n  4 [size=\"47306240\", alpha=\"0.10\", expect_size=\"18922496\"] \n  4 -> 40 [size =\"18922496\"]\n  4 -> 42 [size =\"18922496\"]\n  4 -> 45 [size =\"18922496\"]\n  4 -> 47 [size =\"18922496\"]\n  5 [size=\"105280000\", alpha=\"0.05\", expect_size=\"42112000\"] \n  5 -> 33 [size =\"42112000\"]\n  5 -> 38 [size =\"42112000\"]\n  5 -> 40 [size =\"42112000\"]\n  5 -> 42 [size =\"42112000\"]\n  5 -> 45 [size =\"42112000\"]\n  5 -> 49 [size =\"42112000\"]\n  5 -> 50 [size =\"42112000\"]\n  6 [size=\"42063360\", alpha=\"0.14\", expect_size=\"16825344\"] \n  6 -> 34 [size =\"16825344\"]\n  6 -> 39 [size =\"16825344\"]\n  6 -> 43 [size =\"16825344\"]\n  6 -> 44 [size =\"16825344\"]\n  6 -> 45 [size =\"16825344\"]\n  6 -> 50 [size =\"16825344\"]\n  7 [size=\"129466880\", alpha=\"0.02\", expect_size=\"51786752\"] \n  7 -> 34 [size =\"51786752\"]\n  7 -> 40 [size =\"51786752\"]\n  7 -> 41 [size =\"51786752\"]\n  7 -> 45 [size =\"51786752\"]\n  7 -> 46 [size =\"51786752\"]\n  8 [size=\"34629120\", alpha=\"0.01\", expect_size=\"13851648\"] \n  8 -> 34 [size =\"13851648\"]\n  8 -> 50 [size =\"13851648\"]\n  9 [size=\"53294080\", alpha=\"0.15\", expect_size=\"21317632\"] \n  9 -> 34 [size =\"21317632\"]\n  9 -> 41 [size =\"21317632\"]\n  9 -> 45 [size =\"21317632\"]\n  9 -> 47 [size =\"21317632\"]\n  9 -> 50 [size =\"21317632\"]\n  10 [size=\"74324480\", alpha=\"0.04\", expect_size=\"29729792\"] \n  10 -> 34 [size =\"29729792\"]\n  10 -> 35 [size =\"29729792\"]\n  10 -> 37 [size =\"29729792\"]\n  10 -> 38 [size =\"29729792\"]\n  10 -> 39 [size =\"29729792\"]\n  10 -> 41 [size =\"29729792\"]\n  10 -> 42 [size =\"29729792\"]\n  10 -> 45 [size =\"29729792\"]\n  10 -> 48 [size =\"29729792\"]\n  10 -> 49 [size =\"29729792\"]\n  11 [size=\"97075200\", alpha=\"0.10\", expect_size=\"38830080\"] \n  11 -> 36 [size =\"38830080\"]\n  11 -> 37 [size =\"38830080\"]\n  11 -> 45 [size =\"38830080\"]\n  12 [size=\"114782720\", alpha=\"0.07\", expect_size=\"45913088\"] \n  12 -> 35 [size =\"45913088\"]\n  12 -> 39 [size =\"45913088\"]\n  12 -> 43 [size =\"45913088\"]\n  13 [size=\"96156160\", alpha=\"0.12\", expect_size=\"38462464\"] \n  13 -> 35 [size =\"38462464\"]\n  13 -> 40 [size =\"38462464\"]\n  13 -> 45 [size =\"38462464\"]\n  13 -> 49 [size =\"38462464\"]\n  13 -> 50 [size =\"38462464\"]\n  14 [size=\"37122560\", alpha=\"0.02\", expect_size=\"14849024\"] \n  14 -> 33 [size =\"14849024\"]\n  14 -> 40 [size =\"14849024\"]\n  14 -> 43 [size =\"14849024\"]\n  14 -> 48 [size =\"14849024\"]\n  15 [size=\"96499200\", alpha=\"0.19\", expect_size=\"38599680\"] \n  15 -> 40 [size =\"38599680\"]\n  15 -> 41 [size =\"38599680\"]\n  15 -> 43 [size =\"38599680\"]\n  15 -> 48 [size =\"38599680\"]\n  16 [size=\"124252160\", alpha=\"0.06\", expect_size=\"49700864\"] \n  16 -> 39 [size =\"49700864\"]\n  16 -> 42 [size =\"49700864\"]\n  16 -> 43 [size =\"49700864\"]\n  16 -> 46 [size =\"49700864\"]\n  16 -> 49 [size =\"49700864\"]\n  16 -> 50 [size =\"49700864\"]\n  17 [size=\"86865920\", alpha=\"0.09\", expect_size=\"34746368\"] \n  17 -> 41 [size =\"34746368\"]\n  17 -> 43 [size =\"34746368\"]\n  17 -> 49 [size =\"34746368\"]\n  18 [size=\"99463680\", alpha=\"0.16\", expect_size=\"39785472\"] \n  18 -> 35 [size =\"39785472\"]\n  18 -> 36 [size =\"39785472\"]\n  18 -> 37 [size =\"39785472\"]\n  18 -> 40 [size =\"39785472\"]\n  18 -> 41 [size =\"39785472\"]\n  18 -> 43 [size =\"39785472\"]\n  19 [size=\"104908800\", alpha=\"0.01\", expect_size=\"41963520\"] \n  19 -> 37 [size =\"41963520\"]\n  19 -> 38 [size =\"41963520\"]\n  19 -> 40 [size =\"41963520\"]\n  19 -> 45 [size =\"41963520\"]\n  19 -> 49 [size =\"41963520\"]\n  19 -> 50 [size =\"41963520\"]\n  20 [size=\"76628480\", alpha=\"0.04\", expect_size=\"30651392\"] \n  20 -> 38 [size =\"30651392\"]\n  20 -> 39 [size =\"30651392\"]\n  20 -> 40 [size =\"30651392\"]\n  20 -> 46 [size =\"30651392\"]\n  20 -> 48 [size =\"30651392\"]\n  20 -> 50 [size =\"30651392\"]\n  21 [size=\"102955520\", alpha=\"0.16\", expect_size=\"41182208\"] \n  21 -> 35 [size =\"41182208\"]\n  21 -> 40 [size =\"41182208\"]\n  21 -> 41 [size =\"41182208\"]\n  21 -> 45 [size =\"41182208\"]\n  21 -> 50 [size =\"41182208\"]\n  22 [size=\"45032960\", alpha=\"0.19\", expect_size=\"18013184\"] \n  22 -> 34 [size =\"18013184\"]\n  22 -> 39 [size =\"18013184\"]\n  22 -> 40 [size =\"18013184\"]\n  22 -> 45 [size =\"18013184\"]\n  22 -> 50 [size =\"18013184\"]\n  23 [size=\"84528640\", alpha=\"0.06\", expect_size=\"33811456\"] \n  23 -> 33 [size =\"33811456\"]\n  23 -> 35 [size =\"33811456\"]\n  23 -> 40 [size =\"33811456\"]\n  24 [size=\"35412480\", alpha=\"0.18\", expect_size=\"14164992\"] \n  24 -> 35 [size =\"14164992\"]\n  24 -> 37 [size =\"14164992\"]\n  24 -> 38 [size =\"14164992\"]\n  24 -> 39 [size =\"14164992\"]\n  24 -> 40 [size =\"14164992\"]\n  24 -> 50 [size =\"14164992\"]\n  25 [size=\"48330240\", alpha=\"0.06\", expect_size=\"19332096\"] \n  25 -> 39 [size =\"19332096\"]\n  25 -> 40 [size =\"19332096\"]\n  25 -> 41 [size =\"19332096\"]\n  25 -> 45 [size =\"19332096\"]\n  26 [size=\"44554240\", alpha=\"0.19\", expect_size=\"17821696\"] \n  26 -> 33 [size =\"17821696\"]\n  26 -> 39 [size =\"17821696\"]\n  26 -> 40 [size =\"17821696\"]\n  26 -> 41 [size =\"17821696\"]\n  26 -> 45 [size =\"17821696\"]\n  27 [size=\"80483840\", alpha=\"0.12\", expect_size=\"32193536\"] \n  27 -> 35 [size =\"32193536\"]\n  27 -> 39 [size =\"32193536\"]\n  27 -> 42 [size =\"32193536\"]\n  27 -> 44 [size =\"32193536\"]\n  28 [size=\"16202240\", alpha=\"0.08\", expect_size=\"6480896\"] \n  28 -> 39 [size =\"6480896\"]\n  28 -> 40 [size =\"6480896\"]\n  28 -> 43 [size =\"6480896\"]\n  28 -> 47 [size =\"6480896\"]\n  28 -> 48 [size =\"6480896\"]\n  28 -> 49 [size =\"6480896\"]\n  29 [size=\"111933440\", alpha=\"0.11\", expect_size=\"44773376\"] \n  29 -> 38 [size =\"44773376\"]\n  29 -> 45 [size =\"44773376\"]\n  29 -> 46 [size =\"44773376\"]\n  29 -> 47 [size =\"44773376\"]\n  29 -> 50 [size =\"44773376\"]\n  30 [size=\"118545920\", alpha=\"0.05\", expect_size=\"47418368\"] \n  30 -> 37 [size =\"47418368\"]\n  30 -> 38 [size =\"47418368\"]\n  30 -> 45 [size =\"47418368\"]\n  30 -> 50 [size =\"47418368\"]\n  31 [size=\"22090240\", alpha=\"0.12\", expect_size=\"8836096\"] \n  31 -> 34 [size =\"8836096\"]\n  31 -> 38 [size =\"8836096\"]\n  31 -> 45 [size =\"8836096\"]\n  31 -> 50 [size =\"8836096\"]\n  32 [size=\"119224320\", alpha=\"0.17\", expect_size=\"47689728\"] \n  32 -> 34 [size =\"47689728\"]\n  32 -> 36 [size =\"47689728\"]\n  32 -> 41 [size =\"47689728\"]\n  32 -> 45 [size =\"47689728\"]\n  32 -> 49 [size =\"47689728\"]\n  33 [size=\"114805760\", alpha=\"0.16\", expect_size=\"45922304\"] \n  34 [size=\"31178240\", alpha=\"0.19\", expect_size=\"12471296\"] \n  35 [size=\"20500480\", alpha=\"0.17\", expect_size=\"8200192\"] \n  36 [size=\"56985600\", alpha=\"0.13\", expect_size=\"22794240\"] \n  37 [size=\"51624960\", alpha=\"0.01\", expect_size=\"20649984\"] \n  38 [size=\"120780800\", alpha=\"0.05\", expect_size=\"48312320\"] \n  39 [size=\"50045440\", alpha=\"0.03\", expect_size=\"20018176\"] \n  40 [size=\"115537920\", alpha=\"0.13\", expect_size=\"46215168\"] \n  41 [size=\"24581120\", alpha=\"0.18\", expect_size=\"9832448\"] \n  42 [size=\"97077760\", alpha=\"0.08\", expect_size=\"38831104\"] \n  43 [size=\"80808960\", alpha=\"0.10\", expect_size=\"32323584\"] \n  44 [size=\"58826240\", alpha=\"0.16\", expect_size=\"23530496\"] \n  45 [size=\"55144960\", alpha=\"0.08\", expect_size=\"22057984\"] \n  46 [size=\"35192320\", alpha=\"0.06\", expect_size=\"14076928\"] \n  47 [size=\"110118400\", alpha=\"0.15\", expect_size=\"44047360\"] \n  48 [size=\"117749760\", alpha=\"0.04\", expect_size=\"47099904\"] \n  49 [size=\"26480640\", alpha=\"0.10\", expect_size=\"10592256\"] \n  50 [size=\"46074880\", alpha=\"0.14\", expect_size=\"18429952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.309.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15485440\", alpha=\"0.01\", expect_size=\"6194176\"] \n  1 -> 27 [size =\"6194176\"]\n  2 [size=\"123320320\", alpha=\"0.08\", expect_size=\"49328128\"] \n  2 -> 19 [size =\"49328128\"]\n  2 -> 20 [size =\"49328128\"]\n  2 -> 21 [size =\"49328128\"]\n  2 -> 22 [size =\"49328128\"]\n  2 -> 27 [size =\"49328128\"]\n  3 [size=\"74536960\", alpha=\"0.17\", expect_size=\"29814784\"] \n  3 -> 20 [size =\"29814784\"]\n  3 -> 21 [size =\"29814784\"]\n  3 -> 22 [size =\"29814784\"]\n  3 -> 27 [size =\"29814784\"]\n  4 [size=\"25999360\", alpha=\"0.16\", expect_size=\"10399744\"] \n  4 -> 18 [size =\"10399744\"]\n  4 -> 19 [size =\"10399744\"]\n  4 -> 20 [size =\"10399744\"]\n  5 [size=\"25021440\", alpha=\"0.05\", expect_size=\"10008576\"] \n  5 -> 17 [size =\"10008576\"]\n  5 -> 18 [size =\"10008576\"]\n  5 -> 19 [size =\"10008576\"]\n  5 -> 21 [size =\"10008576\"]\n  5 -> 23 [size =\"10008576\"]\n  5 -> 26 [size =\"10008576\"]\n  5 -> 27 [size =\"10008576\"]\n  6 [size=\"14218240\", alpha=\"0.05\", expect_size=\"5687296\"] \n  6 -> 16 [size =\"5687296\"]\n  6 -> 18 [size =\"5687296\"]\n  6 -> 22 [size =\"5687296\"]\n  6 -> 24 [size =\"5687296\"]\n  6 -> 26 [size =\"5687296\"]\n  6 -> 27 [size =\"5687296\"]\n  7 [size=\"73889280\", alpha=\"0.16\", expect_size=\"29555712\"] \n  7 -> 15 [size =\"29555712\"]\n  7 -> 21 [size =\"29555712\"]\n  7 -> 26 [size =\"29555712\"]\n  8 [size=\"14031360\", alpha=\"0.03\", expect_size=\"5612544\"] \n  8 -> 16 [size =\"5612544\"]\n  8 -> 19 [size =\"5612544\"]\n  8 -> 26 [size =\"5612544\"]\n  9 [size=\"125017600\", alpha=\"0.17\", expect_size=\"50007040\"] \n  9 -> 16 [size =\"50007040\"]\n  9 -> 18 [size =\"50007040\"]\n  9 -> 22 [size =\"50007040\"]\n  9 -> 23 [size =\"50007040\"]\n  10 [size=\"28285440\", alpha=\"0.10\", expect_size=\"11314176\"] \n  10 -> 15 [size =\"11314176\"]\n  10 -> 21 [size =\"11314176\"]\n  10 -> 22 [size =\"11314176\"]\n  10 -> 27 [size =\"11314176\"]\n  11 [size=\"78602240\", alpha=\"0.19\", expect_size=\"31440896\"] \n  11 -> 17 [size =\"31440896\"]\n  11 -> 27 [size =\"31440896\"]\n  12 [size=\"84339200\", alpha=\"0.15\", expect_size=\"33735680\"] \n  12 -> 18 [size =\"33735680\"]\n  12 -> 21 [size =\"33735680\"]\n  13 [size=\"15833600\", alpha=\"0.07\", expect_size=\"6333440\"] \n  13 -> 18 [size =\"6333440\"]\n  13 -> 20 [size =\"6333440\"]\n  14 [size=\"113756160\", alpha=\"0.13\", expect_size=\"45502464\"] \n  14 -> 19 [size =\"45502464\"]\n  14 -> 20 [size =\"45502464\"]\n  14 -> 25 [size =\"45502464\"]\n  15 [size=\"87810560\", alpha=\"0.08\", expect_size=\"35124224\"] \n  15 -> 35 [size =\"35124224\"]\n  15 -> 38 [size =\"35124224\"]\n  15 -> 40 [size =\"35124224\"]\n  16 [size=\"114501120\", alpha=\"0.01\", expect_size=\"45800448\"] \n  16 -> 28 [size =\"45800448\"]\n  16 -> 30 [size =\"45800448\"]\n  16 -> 41 [size =\"45800448\"]\n  17 [size=\"27612160\", alpha=\"0.10\", expect_size=\"11044864\"] \n  17 -> 36 [size =\"11044864\"]\n  17 -> 42 [size =\"11044864\"]\n  18 [size=\"124538880\", alpha=\"0.05\", expect_size=\"49815552\"] \n  18 -> 28 [size =\"49815552\"]\n  18 -> 31 [size =\"49815552\"]\n  18 -> 35 [size =\"49815552\"]\n  18 -> 36 [size =\"49815552\"]\n  18 -> 42 [size =\"49815552\"]\n  19 [size=\"23495680\", alpha=\"0.18\", expect_size=\"9398272\"] \n  19 -> 29 [size =\"9398272\"]\n  19 -> 35 [size =\"9398272\"]\n  19 -> 36 [size =\"9398272\"]\n  19 -> 40 [size =\"9398272\"]\n  19 -> 42 [size =\"9398272\"]\n  20 [size=\"125962240\", alpha=\"0.12\", expect_size=\"50384896\"] \n  20 -> 29 [size =\"50384896\"]\n  20 -> 35 [size =\"50384896\"]\n  20 -> 36 [size =\"50384896\"]\n  20 -> 40 [size =\"50384896\"]\n  21 [size=\"65984000\", alpha=\"0.06\", expect_size=\"26393600\"] \n  21 -> 31 [size =\"26393600\"]\n  21 -> 35 [size =\"26393600\"]\n  21 -> 37 [size =\"26393600\"]\n  21 -> 38 [size =\"26393600\"]\n  22 [size=\"58291200\", alpha=\"0.19\", expect_size=\"23316480\"] \n  22 -> 28 [size =\"23316480\"]\n  22 -> 32 [size =\"23316480\"]\n  22 -> 33 [size =\"23316480\"]\n  22 -> 35 [size =\"23316480\"]\n  22 -> 38 [size =\"23316480\"]\n  22 -> 40 [size =\"23316480\"]\n  22 -> 41 [size =\"23316480\"]\n  23 [size=\"27553280\", alpha=\"0.02\", expect_size=\"11021312\"] \n  23 -> 28 [size =\"11021312\"]\n  23 -> 30 [size =\"11021312\"]\n  23 -> 32 [size =\"11021312\"]\n  23 -> 34 [size =\"11021312\"]\n  23 -> 41 [size =\"11021312\"]\n  23 -> 42 [size =\"11021312\"]\n  24 [size=\"69818880\", alpha=\"0.07\", expect_size=\"27927552\"] \n  24 -> 30 [size =\"27927552\"]\n  24 -> 31 [size =\"27927552\"]\n  24 -> 32 [size =\"27927552\"]\n  24 -> 41 [size =\"27927552\"]\n  25 [size=\"26060800\", alpha=\"0.14\", expect_size=\"10424320\"] \n  25 -> 28 [size =\"10424320\"]\n  25 -> 29 [size =\"10424320\"]\n  25 -> 30 [size =\"10424320\"]\n  25 -> 32 [size =\"10424320\"]\n  25 -> 35 [size =\"10424320\"]\n  25 -> 36 [size =\"10424320\"]\n  25 -> 38 [size =\"10424320\"]\n  25 -> 39 [size =\"10424320\"]\n  25 -> 41 [size =\"10424320\"]\n  26 [size=\"74472960\", alpha=\"0.02\", expect_size=\"29789184\"] \n  26 -> 29 [size =\"29789184\"]\n  26 -> 30 [size =\"29789184\"]\n  26 -> 31 [size =\"29789184\"]\n  26 -> 32 [size =\"29789184\"]\n  26 -> 42 [size =\"29789184\"]\n  27 [size=\"80389120\", alpha=\"0.20\", expect_size=\"32155648\"] \n  27 -> 30 [size =\"32155648\"]\n  27 -> 32 [size =\"32155648\"]\n  27 -> 34 [size =\"32155648\"]\n  28 [size=\"19627520\", alpha=\"0.18\", expect_size=\"7851008\"] \n  28 -> 48 [size =\"7851008\"]\n  29 [size=\"49922560\", alpha=\"0.15\", expect_size=\"19969024\"] \n  29 -> 43 [size =\"19969024\"]\n  29 -> 44 [size =\"19969024\"]\n  29 -> 46 [size =\"19969024\"]\n  29 -> 50 [size =\"19969024\"]\n  30 [size=\"40110080\", alpha=\"0.14\", expect_size=\"16044032\"] \n  30 -> 43 [size =\"16044032\"]\n  30 -> 44 [size =\"16044032\"]\n  30 -> 47 [size =\"16044032\"]\n  31 [size=\"110622720\", alpha=\"0.05\", expect_size=\"44249088\"] \n  31 -> 43 [size =\"44249088\"]\n  31 -> 46 [size =\"44249088\"]\n  31 -> 49 [size =\"44249088\"]\n  32 [size=\"27906560\", alpha=\"0.08\", expect_size=\"11162624\"] \n  32 -> 47 [size =\"11162624\"]\n  33 [size=\"20144640\", alpha=\"0.11\", expect_size=\"8057856\"] \n  33 -> 44 [size =\"8057856\"]\n  33 -> 46 [size =\"8057856\"]\n  33 -> 48 [size =\"8057856\"]\n  34 [size=\"30796800\", alpha=\"0.11\", expect_size=\"12318720\"] \n  34 -> 50 [size =\"12318720\"]\n  35 [size=\"72760320\", alpha=\"0.04\", expect_size=\"29104128\"] \n  35 -> 43 [size =\"29104128\"]\n  35 -> 44 [size =\"29104128\"]\n  36 [size=\"39984640\", alpha=\"0.14\", expect_size=\"15993856\"] \n  36 -> 45 [size =\"15993856\"]\n  37 [size=\"51545600\", alpha=\"0.07\", expect_size=\"20618240\"] \n  37 -> 43 [size =\"20618240\"]\n  37 -> 45 [size =\"20618240\"]\n  37 -> 48 [size =\"20618240\"]\n  37 -> 50 [size =\"20618240\"]\n  38 [size=\"50260480\", alpha=\"0.18\", expect_size=\"20104192\"] \n  38 -> 43 [size =\"20104192\"]\n  38 -> 44 [size =\"20104192\"]\n  38 -> 45 [size =\"20104192\"]\n  38 -> 48 [size =\"20104192\"]\n  38 -> 49 [size =\"20104192\"]\n  39 [size=\"37058560\", alpha=\"0.11\", expect_size=\"14823424\"] \n  39 -> 44 [size =\"14823424\"]\n  39 -> 48 [size =\"14823424\"]\n  39 -> 50 [size =\"14823424\"]\n  40 [size=\"123847680\", alpha=\"0.04\", expect_size=\"49539072\"] \n  40 -> 45 [size =\"49539072\"]\n  41 [size=\"89881600\", alpha=\"0.05\", expect_size=\"35952640\"] \n  41 -> 47 [size =\"35952640\"]\n  42 [size=\"118620160\", alpha=\"0.14\", expect_size=\"47448064\"] \n  42 -> 45 [size =\"47448064\"]\n  42 -> 46 [size =\"47448064\"]\n  42 -> 48 [size =\"47448064\"]\n  43 [size=\"45365760\", alpha=\"0.05\", expect_size=\"18146304\"] \n  44 [size=\"108774400\", alpha=\"0.06\", expect_size=\"43509760\"] \n  45 [size=\"55608320\", alpha=\"0.09\", expect_size=\"22243328\"] \n  46 [size=\"78530560\", alpha=\"0.03\", expect_size=\"31412224\"] \n  47 [size=\"43010560\", alpha=\"0.08\", expect_size=\"17204224\"] \n  48 [size=\"81515520\", alpha=\"0.14\", expect_size=\"32606208\"] \n  49 [size=\"69552640\", alpha=\"0.07\", expect_size=\"27821056\"] \n  50 [size=\"17507840\", alpha=\"0.04\", expect_size=\"7003136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89759744\", alpha=\"0.01\", expect_size=\"44879872\"] \n  1 -> 26 [size =\"44879872\"]\n  1 -> 29 [size =\"44879872\"]\n  1 -> 30 [size =\"44879872\"]\n  1 -> 31 [size =\"44879872\"]\n  1 -> 32 [size =\"44879872\"]\n  1 -> 34 [size =\"44879872\"]\n  1 -> 37 [size =\"44879872\"]\n  1 -> 38 [size =\"44879872\"]\n  1 -> 39 [size =\"44879872\"]\n  1 -> 43 [size =\"44879872\"]\n  1 -> 44 [size =\"44879872\"]\n  1 -> 50 [size =\"44879872\"]\n  2 [size=\"16476160\", alpha=\"0.09\", expect_size=\"8238080\"] \n  2 -> 26 [size =\"8238080\"]\n  2 -> 28 [size =\"8238080\"]\n  2 -> 29 [size =\"8238080\"]\n  2 -> 30 [size =\"8238080\"]\n  2 -> 31 [size =\"8238080\"]\n  2 -> 32 [size =\"8238080\"]\n  2 -> 34 [size =\"8238080\"]\n  2 -> 37 [size =\"8238080\"]\n  2 -> 44 [size =\"8238080\"]\n  2 -> 45 [size =\"8238080\"]\n  2 -> 46 [size =\"8238080\"]\n  2 -> 50 [size =\"8238080\"]\n  3 [size=\"50536448\", alpha=\"0.04\", expect_size=\"25268224\"] \n  3 -> 26 [size =\"25268224\"]\n  3 -> 28 [size =\"25268224\"]\n  3 -> 29 [size =\"25268224\"]\n  3 -> 32 [size =\"25268224\"]\n  3 -> 33 [size =\"25268224\"]\n  3 -> 37 [size =\"25268224\"]\n  3 -> 38 [size =\"25268224\"]\n  3 -> 44 [size =\"25268224\"]\n  3 -> 48 [size =\"25268224\"]\n  3 -> 50 [size =\"25268224\"]\n  4 [size=\"38033408\", alpha=\"0.01\", expect_size=\"19016704\"] \n  4 -> 26 [size =\"19016704\"]\n  4 -> 28 [size =\"19016704\"]\n  4 -> 31 [size =\"19016704\"]\n  4 -> 32 [size =\"19016704\"]\n  4 -> 34 [size =\"19016704\"]\n  4 -> 35 [size =\"19016704\"]\n  4 -> 38 [size =\"19016704\"]\n  4 -> 39 [size =\"19016704\"]\n  4 -> 40 [size =\"19016704\"]\n  4 -> 43 [size =\"19016704\"]\n  4 -> 46 [size =\"19016704\"]\n  4 -> 48 [size =\"19016704\"]\n  4 -> 50 [size =\"19016704\"]\n  5 [size=\"102432768\", alpha=\"0.04\", expect_size=\"51216384\"] \n  5 -> 26 [size =\"51216384\"]\n  5 -> 27 [size =\"51216384\"]\n  5 -> 28 [size =\"51216384\"]\n  5 -> 32 [size =\"51216384\"]\n  5 -> 34 [size =\"51216384\"]\n  5 -> 39 [size =\"51216384\"]\n  5 -> 41 [size =\"51216384\"]\n  5 -> 43 [size =\"51216384\"]\n  5 -> 44 [size =\"51216384\"]\n  5 -> 48 [size =\"51216384\"]\n  5 -> 50 [size =\"51216384\"]\n  6 [size=\"59324416\", alpha=\"0.04\", expect_size=\"29662208\"] \n  6 -> 26 [size =\"29662208\"]\n  6 -> 27 [size =\"29662208\"]\n  6 -> 28 [size =\"29662208\"]\n  6 -> 30 [size =\"29662208\"]\n  6 -> 32 [size =\"29662208\"]\n  6 -> 34 [size =\"29662208\"]\n  6 -> 37 [size =\"29662208\"]\n  6 -> 38 [size =\"29662208\"]\n  6 -> 41 [size =\"29662208\"]\n  6 -> 44 [size =\"29662208\"]\n  6 -> 45 [size =\"29662208\"]\n  6 -> 46 [size =\"29662208\"]\n  6 -> 50 [size =\"29662208\"]\n  7 [size=\"13469696\", alpha=\"0.04\", expect_size=\"6734848\"] \n  7 -> 28 [size =\"6734848\"]\n  7 -> 30 [size =\"6734848\"]\n  7 -> 32 [size =\"6734848\"]\n  7 -> 34 [size =\"6734848\"]\n  7 -> 35 [size =\"6734848\"]\n  7 -> 37 [size =\"6734848\"]\n  7 -> 40 [size =\"6734848\"]\n  7 -> 41 [size =\"6734848\"]\n  7 -> 43 [size =\"6734848\"]\n  7 -> 46 [size =\"6734848\"]\n  7 -> 49 [size =\"6734848\"]\n  7 -> 50 [size =\"6734848\"]\n  7 -> 50 [size =\"6734848\"]\n  8 [size=\"31209472\", alpha=\"0.12\", expect_size=\"15604736\"] \n  8 -> 26 [size =\"15604736\"]\n  8 -> 28 [size =\"15604736\"]\n  8 -> 30 [size =\"15604736\"]\n  8 -> 32 [size =\"15604736\"]\n  8 -> 33 [size =\"15604736\"]\n  8 -> 34 [size =\"15604736\"]\n  8 -> 38 [size =\"15604736\"]\n  8 -> 39 [size =\"15604736\"]\n  8 -> 40 [size =\"15604736\"]\n  8 -> 42 [size =\"15604736\"]\n  8 -> 44 [size =\"15604736\"]\n  8 -> 46 [size =\"15604736\"]\n  8 -> 48 [size =\"15604736\"]\n  8 -> 50 [size =\"15604736\"]\n  9 [size=\"64677888\", alpha=\"0.10\", expect_size=\"32338944\"] \n  9 -> 28 [size =\"32338944\"]\n  9 -> 29 [size =\"32338944\"]\n  9 -> 30 [size =\"32338944\"]\n  9 -> 32 [size =\"32338944\"]\n  9 -> 34 [size =\"32338944\"]\n  9 -> 35 [size =\"32338944\"]\n  9 -> 37 [size =\"32338944\"]\n  9 -> 38 [size =\"32338944\"]\n  9 -> 39 [size =\"32338944\"]\n  9 -> 40 [size =\"32338944\"]\n  9 -> 41 [size =\"32338944\"]\n  9 -> 42 [size =\"32338944\"]\n  9 -> 44 [size =\"32338944\"]\n  9 -> 45 [size =\"32338944\"]\n  9 -> 50 [size =\"32338944\"]\n  10 [size=\"17688576\", alpha=\"0.12\", expect_size=\"8844288\"] \n  10 -> 26 [size =\"8844288\"]\n  10 -> 28 [size =\"8844288\"]\n  10 -> 30 [size =\"8844288\"]\n  10 -> 32 [size =\"8844288\"]\n  10 -> 34 [size =\"8844288\"]\n  10 -> 36 [size =\"8844288\"]\n  10 -> 37 [size =\"8844288\"]\n  10 -> 38 [size =\"8844288\"]\n  10 -> 39 [size =\"8844288\"]\n  10 -> 40 [size =\"8844288\"]\n  10 -> 41 [size =\"8844288\"]\n  10 -> 42 [size =\"8844288\"]\n  10 -> 44 [size =\"8844288\"]\n  10 -> 45 [size =\"8844288\"]\n  10 -> 48 [size =\"8844288\"]\n  11 [size=\"44810240\", alpha=\"0.19\", expect_size=\"22405120\"] \n  11 -> 26 [size =\"22405120\"]\n  11 -> 30 [size =\"22405120\"]\n  11 -> 30 [size =\"22405120\"]\n  11 -> 32 [size =\"22405120\"]\n  11 -> 34 [size =\"22405120\"]\n  11 -> 37 [size =\"22405120\"]\n  11 -> 38 [size =\"22405120\"]\n  11 -> 39 [size =\"22405120\"]\n  11 -> 40 [size =\"22405120\"]\n  11 -> 41 [size =\"22405120\"]\n  11 -> 41 [size =\"22405120\"]\n  11 -> 44 [size =\"22405120\"]\n  11 -> 44 [size =\"22405120\"]\n  12 [size=\"47880192\", alpha=\"0.20\", expect_size=\"23940096\"] \n  12 -> 26 [size =\"23940096\"]\n  12 -> 28 [size =\"23940096\"]\n  12 -> 29 [size =\"23940096\"]\n  12 -> 30 [size =\"23940096\"]\n  12 -> 32 [size =\"23940096\"]\n  12 -> 36 [size =\"23940096\"]\n  12 -> 37 [size =\"23940096\"]\n  12 -> 39 [size =\"23940096\"]\n  12 -> 40 [size =\"23940096\"]\n  12 -> 44 [size =\"23940096\"]\n  12 -> 46 [size =\"23940096\"]\n  13 [size=\"88350720\", alpha=\"0.08\", expect_size=\"44175360\"] \n  13 -> 28 [size =\"44175360\"]\n  13 -> 28 [size =\"44175360\"]\n  13 -> 30 [size =\"44175360\"]\n  13 -> 31 [size =\"44175360\"]\n  13 -> 33 [size =\"44175360\"]\n  13 -> 34 [size =\"44175360\"]\n  13 -> 37 [size =\"44175360\"]\n  13 -> 38 [size =\"44175360\"]\n  13 -> 39 [size =\"44175360\"]\n  13 -> 43 [size =\"44175360\"]\n  13 -> 44 [size =\"44175360\"]\n  13 -> 49 [size =\"44175360\"]\n  14 [size=\"14028800\", alpha=\"0.12\", expect_size=\"7014400\"] \n  14 -> 28 [size =\"7014400\"]\n  14 -> 30 [size =\"7014400\"]\n  14 -> 32 [size =\"7014400\"]\n  14 -> 33 [size =\"7014400\"]\n  14 -> 34 [size =\"7014400\"]\n  14 -> 36 [size =\"7014400\"]\n  14 -> 37 [size =\"7014400\"]\n  14 -> 39 [size =\"7014400\"]\n  14 -> 39 [size =\"7014400\"]\n  14 -> 43 [size =\"7014400\"]\n  14 -> 44 [size =\"7014400\"]\n  14 -> 48 [size =\"7014400\"]\n  15 [size=\"20178944\", alpha=\"0.01\", expect_size=\"10089472\"] \n  15 -> 26 [size =\"10089472\"]\n  15 -> 30 [size =\"10089472\"]\n  15 -> 32 [size =\"10089472\"]\n  15 -> 37 [size =\"10089472\"]\n  15 -> 39 [size =\"10089472\"]\n  15 -> 41 [size =\"10089472\"]\n  15 -> 45 [size =\"10089472\"]\n  15 -> 46 [size =\"10089472\"]\n  15 -> 50 [size =\"10089472\"]\n  16 [size=\"40415232\", alpha=\"0.07\", expect_size=\"20207616\"] \n  16 -> 26 [size =\"20207616\"]\n  16 -> 28 [size =\"20207616\"]\n  16 -> 31 [size =\"20207616\"]\n  16 -> 32 [size =\"20207616\"]\n  16 -> 33 [size =\"20207616\"]\n  16 -> 37 [size =\"20207616\"]\n  16 -> 38 [size =\"20207616\"]\n  16 -> 39 [size =\"20207616\"]\n  16 -> 40 [size =\"20207616\"]\n  16 -> 41 [size =\"20207616\"]\n  16 -> 46 [size =\"20207616\"]\n  16 -> 48 [size =\"20207616\"]\n  16 -> 50 [size =\"20207616\"]\n  17 [size=\"59469824\", alpha=\"0.18\", expect_size=\"29734912\"] \n  17 -> 26 [size =\"29734912\"]\n  17 -> 27 [size =\"29734912\"]\n  17 -> 28 [size =\"29734912\"]\n  17 -> 29 [size =\"29734912\"]\n  17 -> 30 [size =\"29734912\"]\n  17 -> 31 [size =\"29734912\"]\n  17 -> 32 [size =\"29734912\"]\n  17 -> 34 [size =\"29734912\"]\n  17 -> 37 [size =\"29734912\"]\n  17 -> 38 [size =\"29734912\"]\n  17 -> 39 [size =\"29734912\"]\n  17 -> 40 [size =\"29734912\"]\n  17 -> 41 [size =\"29734912\"]\n  17 -> 42 [size =\"29734912\"]\n  17 -> 44 [size =\"29734912\"]\n  17 -> 46 [size =\"29734912\"]\n  17 -> 50 [size =\"29734912\"]\n  18 [size=\"79212544\", alpha=\"0.07\", expect_size=\"39606272\"] \n  18 -> 26 [size =\"39606272\"]\n  18 -> 28 [size =\"39606272\"]\n  18 -> 28 [size =\"39606272\"]\n  18 -> 29 [size =\"39606272\"]\n  18 -> 30 [size =\"39606272\"]\n  18 -> 32 [size =\"39606272\"]\n  18 -> 32 [size =\"39606272\"]\n  18 -> 34 [size =\"39606272\"]\n  18 -> 35 [size =\"39606272\"]\n  18 -> 37 [size =\"39606272\"]\n  18 -> 40 [size =\"39606272\"]\n  18 -> 41 [size =\"39606272\"]\n  18 -> 41 [size =\"39606272\"]\n  18 -> 42 [size =\"39606272\"]\n  18 -> 44 [size =\"39606272\"]\n  18 -> 45 [size =\"39606272\"]\n  18 -> 46 [size =\"39606272\"]\n  18 -> 47 [size =\"39606272\"]\n  18 -> 49 [size =\"39606272\"]\n  18 -> 50 [size =\"39606272\"]\n  19 [size=\"39315456\", alpha=\"0.04\", expect_size=\"19657728\"] \n  19 -> 26 [size =\"19657728\"]\n  19 -> 27 [size =\"19657728\"]\n  19 -> 28 [size =\"19657728\"]\n  19 -> 29 [size =\"19657728\"]\n  19 -> 32 [size =\"19657728\"]\n  19 -> 34 [size =\"19657728\"]\n  19 -> 35 [size =\"19657728\"]\n  19 -> 37 [size =\"19657728\"]\n  19 -> 39 [size =\"19657728\"]\n  19 -> 41 [size =\"19657728\"]\n  19 -> 42 [size =\"19657728\"]\n  19 -> 43 [size =\"19657728\"]\n  19 -> 46 [size =\"19657728\"]\n  19 -> 47 [size =\"19657728\"]\n  19 -> 50 [size =\"19657728\"]\n  20 [size=\"85528576\", alpha=\"0.08\", expect_size=\"42764288\"] \n  20 -> 27 [size =\"42764288\"]\n  20 -> 28 [size =\"42764288\"]\n  20 -> 28 [size =\"42764288\"]\n  20 -> 29 [size =\"42764288\"]\n  20 -> 31 [size =\"42764288\"]\n  20 -> 34 [size =\"42764288\"]\n  20 -> 37 [size =\"42764288\"]\n  20 -> 40 [size =\"42764288\"]\n  20 -> 41 [size =\"42764288\"]\n  20 -> 41 [size =\"42764288\"]\n  20 -> 43 [size =\"42764288\"]\n  20 -> 46 [size =\"42764288\"]\n  20 -> 46 [size =\"42764288\"]\n  21 [size=\"49899520\", alpha=\"0.08\", expect_size=\"24949760\"] \n  21 -> 26 [size =\"24949760\"]\n  21 -> 29 [size =\"24949760\"]\n  21 -> 32 [size =\"24949760\"]\n  21 -> 34 [size =\"24949760\"]\n  21 -> 35 [size =\"24949760\"]\n  21 -> 38 [size =\"24949760\"]\n  21 -> 39 [size =\"24949760\"]\n  21 -> 40 [size =\"24949760\"]\n  21 -> 43 [size =\"24949760\"]\n  21 -> 45 [size =\"24949760\"]\n  21 -> 46 [size =\"24949760\"]\n  21 -> 46 [size =\"24949760\"]\n  21 -> 48 [size =\"24949760\"]\n  21 -> 50 [size =\"24949760\"]\n  22 [size=\"47345664\", alpha=\"0.09\", expect_size=\"23672832\"] \n  22 -> 28 [size =\"23672832\"]\n  22 -> 34 [size =\"23672832\"]\n  22 -> 38 [size =\"23672832\"]\n  22 -> 40 [size =\"23672832\"]\n  22 -> 42 [size =\"23672832\"]\n  22 -> 43 [size =\"23672832\"]\n  22 -> 44 [size =\"23672832\"]\n  22 -> 46 [size =\"23672832\"]\n  22 -> 50 [size =\"23672832\"]\n  23 [size=\"46802944\", alpha=\"0.20\", expect_size=\"23401472\"] \n  23 -> 28 [size =\"23401472\"]\n  23 -> 29 [size =\"23401472\"]\n  23 -> 32 [size =\"23401472\"]\n  23 -> 34 [size =\"23401472\"]\n  23 -> 35 [size =\"23401472\"]\n  23 -> 38 [size =\"23401472\"]\n  23 -> 40 [size =\"23401472\"]\n  23 -> 43 [size =\"23401472\"]\n  23 -> 44 [size =\"23401472\"]\n  23 -> 45 [size =\"23401472\"]\n  23 -> 46 [size =\"23401472\"]\n  23 -> 50 [size =\"23401472\"]\n  24 [size=\"86214656\", alpha=\"0.15\", expect_size=\"43107328\"] \n  24 -> 26 [size =\"43107328\"]\n  24 -> 29 [size =\"43107328\"]\n  24 -> 30 [size =\"43107328\"]\n  24 -> 32 [size =\"43107328\"]\n  24 -> 34 [size =\"43107328\"]\n  24 -> 35 [size =\"43107328\"]\n  24 -> 37 [size =\"43107328\"]\n  24 -> 38 [size =\"43107328\"]\n  24 -> 40 [size =\"43107328\"]\n  24 -> 41 [size =\"43107328\"]\n  24 -> 45 [size =\"43107328\"]\n  24 -> 46 [size =\"43107328\"]\n  24 -> 50 [size =\"43107328\"]\n  25 [size=\"50016256\", alpha=\"0.11\", expect_size=\"25008128\"] \n  25 -> 26 [size =\"25008128\"]\n  25 -> 32 [size =\"25008128\"]\n  25 -> 34 [size =\"25008128\"]\n  25 -> 35 [size =\"25008128\"]\n  25 -> 37 [size =\"25008128\"]\n  25 -> 40 [size =\"25008128\"]\n  25 -> 42 [size =\"25008128\"]\n  25 -> 43 [size =\"25008128\"]\n  25 -> 45 [size =\"25008128\"]\n  25 -> 47 [size =\"25008128\"]\n  25 -> 49 [size =\"25008128\"]\n  25 -> 50 [size =\"25008128\"]\n  25 -> 50 [size =\"25008128\"]\n  26 [size=\"53899264\", alpha=\"0.16\", expect_size=\"26949632\"] \n  27 [size=\"86515712\", alpha=\"0.03\", expect_size=\"43257856\"] \n  28 [size=\"75706368\", alpha=\"0.14\", expect_size=\"37853184\"] \n  29 [size=\"12564480\", alpha=\"0.16\", expect_size=\"6282240\"] \n  30 [size=\"32108544\", alpha=\"0.20\", expect_size=\"16054272\"] \n  31 [size=\"68083712\", alpha=\"0.11\", expect_size=\"34041856\"] \n  32 [size=\"11022336\", alpha=\"0.10\", expect_size=\"5511168\"] \n  33 [size=\"55660544\", alpha=\"0.05\", expect_size=\"27830272\"] \n  34 [size=\"53307392\", alpha=\"0.01\", expect_size=\"26653696\"] \n  35 [size=\"31510528\", alpha=\"0.19\", expect_size=\"15755264\"] \n  36 [size=\"82219008\", alpha=\"0.04\", expect_size=\"41109504\"] \n  37 [size=\"65527808\", alpha=\"0.19\", expect_size=\"32763904\"] \n  38 [size=\"78794752\", alpha=\"0.09\", expect_size=\"39397376\"] \n  39 [size=\"48373760\", alpha=\"0.04\", expect_size=\"24186880\"] \n  40 [size=\"28454912\", alpha=\"0.16\", expect_size=\"14227456\"] \n  41 [size=\"26247168\", alpha=\"0.16\", expect_size=\"13123584\"] \n  42 [size=\"76075008\", alpha=\"0.03\", expect_size=\"38037504\"] \n  43 [size=\"26587136\", alpha=\"0.19\", expect_size=\"13293568\"] \n  44 [size=\"50024448\", alpha=\"0.10\", expect_size=\"25012224\"] \n  45 [size=\"55558144\", alpha=\"0.10\", expect_size=\"27779072\"] \n  46 [size=\"52883456\", alpha=\"0.19\", expect_size=\"26441728\"] \n  47 [size=\"71929856\", alpha=\"0.04\", expect_size=\"35964928\"] \n  48 [size=\"67311616\", alpha=\"0.03\", expect_size=\"33655808\"] \n  49 [size=\"13385728\", alpha=\"0.03\", expect_size=\"6692864\"] \n  50 [size=\"33353728\", alpha=\"0.07\", expect_size=\"16676864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.310.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52369920\", alpha=\"0.07\", expect_size=\"20947968\"] \n  1 -> 5 [size =\"20947968\"]\n  2 [size=\"121720320\", alpha=\"0.16\", expect_size=\"48688128\"] \n  3 [size=\"68121600\", alpha=\"0.01\", expect_size=\"27248640\"] \n  3 -> 4 [size =\"27248640\"]\n  3 -> 5 [size =\"27248640\"]\n  3 -> 6 [size =\"27248640\"]\n  4 [size=\"87861760\", alpha=\"0.02\", expect_size=\"35144704\"] \n  4 -> 7 [size =\"35144704\"]\n  4 -> 8 [size =\"35144704\"]\n  5 [size=\"75673600\", alpha=\"0.06\", expect_size=\"30269440\"] \n  5 -> 7 [size =\"30269440\"]\n  6 [size=\"24552960\", alpha=\"0.04\", expect_size=\"9821184\"] \n  7 [size=\"115430400\", alpha=\"0.02\", expect_size=\"46172160\"] \n  7 -> 9 [size =\"46172160\"]\n  7 -> 10 [size =\"46172160\"]\n  7 -> 11 [size =\"46172160\"]\n  8 [size=\"66849280\", alpha=\"0.11\", expect_size=\"26739712\"] \n  8 -> 9 [size =\"26739712\"]\n  9 [size=\"23441920\", alpha=\"0.16\", expect_size=\"9376768\"] \n  9 -> 12 [size =\"9376768\"]\n  9 -> 13 [size =\"9376768\"]\n  9 -> 14 [size =\"9376768\"]\n  10 [size=\"105815040\", alpha=\"0.12\", expect_size=\"42326016\"] \n  10 -> 14 [size =\"42326016\"]\n  11 [size=\"59965440\", alpha=\"0.18\", expect_size=\"23986176\"] \n  11 -> 12 [size =\"23986176\"]\n  11 -> 13 [size =\"23986176\"]\n  12 [size=\"103618560\", alpha=\"0.11\", expect_size=\"41447424\"] \n  12 -> 16 [size =\"41447424\"]\n  12 -> 17 [size =\"41447424\"]\n  13 [size=\"77473280\", alpha=\"0.15\", expect_size=\"30989312\"] \n  13 -> 15 [size =\"30989312\"]\n  13 -> 16 [size =\"30989312\"]\n  13 -> 17 [size =\"30989312\"]\n  14 [size=\"81146880\", alpha=\"0.11\", expect_size=\"32458752\"] \n  14 -> 15 [size =\"32458752\"]\n  15 [size=\"92505600\", alpha=\"0.03\", expect_size=\"37002240\"] \n  16 [size=\"130626560\", alpha=\"0.14\", expect_size=\"52250624\"] \n  17 [size=\"37009920\", alpha=\"0.05\", expect_size=\"14803968\"] \n  17 -> 18 [size =\"14803968\"]\n  17 -> 19 [size =\"14803968\"]\n  17 -> 20 [size =\"14803968\"]\n  18 [size=\"51171840\", alpha=\"0.06\", expect_size=\"20468736\"] \n  18 -> 22 [size =\"20468736\"]\n  19 [size=\"117283840\", alpha=\"0.12\", expect_size=\"46913536\"] \n  20 [size=\"95075840\", alpha=\"0.07\", expect_size=\"38030336\"] \n  20 -> 21 [size =\"38030336\"]\n  21 [size=\"50076160\", alpha=\"0.09\", expect_size=\"20030464\"] \n  21 -> 23 [size =\"20030464\"]\n  21 -> 24 [size =\"20030464\"]\n  22 [size=\"38220800\", alpha=\"0.09\", expect_size=\"15288320\"] \n  22 -> 24 [size =\"15288320\"]\n  22 -> 25 [size =\"15288320\"]\n  23 [size=\"105758720\", alpha=\"0.19\", expect_size=\"42303488\"] \n  23 -> 26 [size =\"42303488\"]\n  23 -> 27 [size =\"42303488\"]\n  23 -> 28 [size =\"42303488\"]\n  24 [size=\"77381120\", alpha=\"0.01\", expect_size=\"30952448\"] \n  24 -> 27 [size =\"30952448\"]\n  25 [size=\"23367680\", alpha=\"0.14\", expect_size=\"9347072\"] \n  25 -> 26 [size =\"9347072\"]\n  26 [size=\"43581440\", alpha=\"0.08\", expect_size=\"17432576\"] \n  27 [size=\"124771840\", alpha=\"0.00\", expect_size=\"49908736\"] \n  27 -> 29 [size =\"49908736\"]\n  27 -> 31 [size =\"49908736\"]\n  28 [size=\"33822720\", alpha=\"0.02\", expect_size=\"13529088\"] \n  28 -> 30 [size =\"13529088\"]\n  29 [size=\"70269440\", alpha=\"0.05\", expect_size=\"28107776\"] \n  29 -> 32 [size =\"28107776\"]\n  29 -> 33 [size =\"28107776\"]\n  30 [size=\"23239680\", alpha=\"0.03\", expect_size=\"9295872\"] \n  30 -> 32 [size =\"9295872\"]\n  31 [size=\"65420800\", alpha=\"0.10\", expect_size=\"26168320\"] \n  31 -> 33 [size =\"26168320\"]\n  32 [size=\"118108160\", alpha=\"0.12\", expect_size=\"47243264\"] \n  32 -> 34 [size =\"47243264\"]\n  32 -> 35 [size =\"47243264\"]\n  33 [size=\"53987840\", alpha=\"0.05\", expect_size=\"21595136\"] \n  33 -> 36 [size =\"21595136\"]\n  34 [size=\"46041600\", alpha=\"0.09\", expect_size=\"18416640\"] \n  35 [size=\"51064320\", alpha=\"0.07\", expect_size=\"20425728\"] \n  35 -> 37 [size =\"20425728\"]\n  35 -> 38 [size =\"20425728\"]\n  36 [size=\"13655040\", alpha=\"0.05\", expect_size=\"5462016\"] \n  37 [size=\"63226880\", alpha=\"0.07\", expect_size=\"25290752\"] \n  37 -> 40 [size =\"25290752\"]\n  38 [size=\"66173440\", alpha=\"0.15\", expect_size=\"26469376\"] \n  38 -> 39 [size =\"26469376\"]\n  39 [size=\"76236800\", alpha=\"0.01\", expect_size=\"30494720\"] \n  40 [size=\"103754240\", alpha=\"0.01\", expect_size=\"41501696\"] \n  40 -> 41 [size =\"41501696\"]\n  40 -> 42 [size =\"41501696\"]\n  40 -> 43 [size =\"41501696\"]\n  41 [size=\"123468800\", alpha=\"0.07\", expect_size=\"49387520\"] \n  41 -> 44 [size =\"49387520\"]\n  42 [size=\"64273920\", alpha=\"0.17\", expect_size=\"25709568\"] \n  42 -> 45 [size =\"25709568\"]\n  43 [size=\"16683520\", alpha=\"0.04\", expect_size=\"6673408\"] \n  43 -> 44 [size =\"6673408\"]\n  43 -> 45 [size =\"6673408\"]\n  44 [size=\"45066240\", alpha=\"0.01\", expect_size=\"18026496\"] \n  44 -> 46 [size =\"18026496\"]\n  44 -> 48 [size =\"18026496\"]\n  45 [size=\"99499520\", alpha=\"0.19\", expect_size=\"39799808\"] \n  45 -> 46 [size =\"39799808\"]\n  45 -> 47 [size =\"39799808\"]\n  45 -> 48 [size =\"39799808\"]\n  46 [size=\"23449600\", alpha=\"0.03\", expect_size=\"9379840\"] \n  47 [size=\"52403200\", alpha=\"0.06\", expect_size=\"20961280\"] \n  47 -> 49 [size =\"20961280\"]\n  48 [size=\"92298240\", alpha=\"0.12\", expect_size=\"36919296\"] \n  48 -> 49 [size =\"36919296\"]\n  48 -> 50 [size =\"36919296\"]\n  49 [size=\"63237120\", alpha=\"0.08\", expect_size=\"25294848\"] \n  50 [size=\"69396480\", alpha=\"0.06\", expect_size=\"27758592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.311.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69584213\", alpha=\"0.19\", expect_size=\"20875264\"] \n  1 -> 2 [size =\"20875264\"]\n  2 [size=\"42868053\", alpha=\"0.14\", expect_size=\"12860416\"] \n  2 -> 3 [size =\"12860416\"]\n  3 [size=\"31764480\", alpha=\"0.02\", expect_size=\"9529344\"] \n  3 -> 4 [size =\"9529344\"]\n  4 [size=\"82718720\", alpha=\"0.19\", expect_size=\"24815616\"] \n  4 -> 5 [size =\"24815616\"]\n  5 [size=\"151644160\", alpha=\"0.12\", expect_size=\"45493248\"] \n  5 -> 6 [size =\"45493248\"]\n  6 [size=\"95969280\", alpha=\"0.02\", expect_size=\"28790784\"] \n  6 -> 7 [size =\"28790784\"]\n  7 [size=\"117923840\", alpha=\"0.12\", expect_size=\"35377152\"] \n  7 -> 8 [size =\"35377152\"]\n  8 [size=\"23309653\", alpha=\"0.08\", expect_size=\"6992896\"] \n  8 -> 9 [size =\"6992896\"]\n  9 [size=\"75960320\", alpha=\"0.19\", expect_size=\"22788096\"] \n  9 -> 10 [size =\"22788096\"]\n  10 [size=\"68768427\", alpha=\"0.16\", expect_size=\"20630528\"] \n  10 -> 11 [size =\"20630528\"]\n  11 [size=\"140257280\", alpha=\"0.12\", expect_size=\"42077184\"] \n  11 -> 12 [size =\"42077184\"]\n  12 [size=\"130205013\", alpha=\"0.16\", expect_size=\"39061504\"] \n  12 -> 13 [size =\"39061504\"]\n  13 [size=\"79469227\", alpha=\"0.12\", expect_size=\"23840768\"] \n  13 -> 14 [size =\"23840768\"]\n  14 [size=\"95849813\", alpha=\"0.17\", expect_size=\"28754944\"] \n  14 -> 15 [size =\"28754944\"]\n  15 [size=\"86108160\", alpha=\"0.04\", expect_size=\"25832448\"] \n  15 -> 16 [size =\"25832448\"]\n  16 [size=\"24033280\", alpha=\"0.07\", expect_size=\"7209984\"] \n  16 -> 17 [size =\"7209984\"]\n  17 [size=\"39587840\", alpha=\"0.10\", expect_size=\"11876352\"] \n  17 -> 18 [size =\"11876352\"]\n  18 [size=\"136919040\", alpha=\"0.13\", expect_size=\"41075712\"] \n  18 -> 19 [size =\"41075712\"]\n  19 [size=\"43342507\", alpha=\"0.14\", expect_size=\"13002752\"] \n  19 -> 20 [size =\"13002752\"]\n  20 [size=\"32078507\", alpha=\"0.17\", expect_size=\"9623552\"] \n  20 -> 21 [size =\"9623552\"]\n  21 [size=\"156361387\", alpha=\"0.07\", expect_size=\"46908416\"] \n  21 -> 22 [size =\"46908416\"]\n  22 [size=\"90521600\", alpha=\"0.01\", expect_size=\"27156480\"] \n  22 -> 23 [size =\"27156480\"]\n  23 [size=\"57873067\", alpha=\"0.16\", expect_size=\"17361920\"] \n  23 -> 24 [size =\"17361920\"]\n  24 [size=\"154658133\", alpha=\"0.20\", expect_size=\"46397440\"] \n  24 -> 25 [size =\"46397440\"]\n  25 [size=\"131860480\", alpha=\"0.00\", expect_size=\"39558144\"] \n  25 -> 26 [size =\"39558144\"]\n  26 [size=\"161034240\", alpha=\"0.11\", expect_size=\"48310272\"] \n  26 -> 27 [size =\"48310272\"]\n  27 [size=\"60968960\", alpha=\"0.14\", expect_size=\"18290688\"] \n  27 -> 28 [size =\"18290688\"]\n  28 [size=\"140485973\", alpha=\"0.18\", expect_size=\"42145792\"] \n  28 -> 29 [size =\"42145792\"]\n  29 [size=\"88715947\", alpha=\"0.10\", expect_size=\"26614784\"] \n  29 -> 30 [size =\"26614784\"]\n  30 [size=\"38062080\", alpha=\"0.08\", expect_size=\"11418624\"] \n  30 -> 31 [size =\"11418624\"]\n  31 [size=\"172796587\", alpha=\"0.01\", expect_size=\"51838976\"] \n  31 -> 32 [size =\"51838976\"]\n  32 [size=\"73171627\", alpha=\"0.09\", expect_size=\"21951488\"] \n  32 -> 33 [size =\"21951488\"]\n  33 [size=\"79155200\", alpha=\"0.05\", expect_size=\"23746560\"] \n  33 -> 34 [size =\"23746560\"]\n  34 [size=\"47752533\", alpha=\"0.11\", expect_size=\"14325760\"] \n  34 -> 35 [size =\"14325760\"]\n  35 [size=\"44206080\", alpha=\"0.06\", expect_size=\"13261824\"] \n  35 -> 36 [size =\"13261824\"]\n  36 [size=\"45400747\", alpha=\"0.01\", expect_size=\"13620224\"] \n  36 -> 37 [size =\"13620224\"]\n  37 [size=\"129829547\", alpha=\"0.19\", expect_size=\"38948864\"] \n  37 -> 38 [size =\"38948864\"]\n  38 [size=\"83370667\", alpha=\"0.13\", expect_size=\"25011200\"] \n  38 -> 39 [size =\"25011200\"]\n  39 [size=\"69143893\", alpha=\"0.10\", expect_size=\"20743168\"] \n  39 -> 40 [size =\"20743168\"]\n  40 [size=\"145633280\", alpha=\"0.08\", expect_size=\"43689984\"] \n  40 -> 41 [size =\"43689984\"]\n  41 [size=\"49561600\", alpha=\"0.04\", expect_size=\"14868480\"] \n  41 -> 42 [size =\"14868480\"]\n  42 [size=\"60999680\", alpha=\"0.10\", expect_size=\"18299904\"] \n  42 -> 43 [size =\"18299904\"]\n  43 [size=\"135389867\", alpha=\"0.00\", expect_size=\"40616960\"] \n  43 -> 44 [size =\"40616960\"]\n  44 [size=\"20152320\", alpha=\"0.09\", expect_size=\"6045696\"] \n  44 -> 45 [size =\"6045696\"]\n  45 [size=\"108236800\", alpha=\"0.11\", expect_size=\"32471040\"] \n  45 -> 46 [size =\"32471040\"]\n  46 [size=\"153702400\", alpha=\"0.12\", expect_size=\"46110720\"] \n  46 -> 47 [size =\"46110720\"]\n  47 [size=\"163109547\", alpha=\"0.19\", expect_size=\"48932864\"] \n  47 -> 48 [size =\"48932864\"]\n  48 [size=\"158566400\", alpha=\"0.01\", expect_size=\"47569920\"] \n  48 -> 49 [size =\"47569920\"]\n  49 [size=\"102239573\", alpha=\"0.12\", expect_size=\"30671872\"] \n  49 -> 50 [size =\"30671872\"]\n  50 [size=\"19988480\", alpha=\"0.05\", expect_size=\"5996544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.312.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150347093\", alpha=\"0.05\", expect_size=\"45104128\"] \n  1 -> 18 [size =\"45104128\"]\n  1 -> 20 [size =\"45104128\"]\n  1 -> 21 [size =\"45104128\"]\n  1 -> 23 [size =\"45104128\"]\n  1 -> 24 [size =\"45104128\"]\n  1 -> 31 [size =\"45104128\"]\n  1 -> 33 [size =\"45104128\"]\n  1 -> 35 [size =\"45104128\"]\n  2 [size=\"50756267\", alpha=\"0.03\", expect_size=\"15226880\"] \n  2 -> 18 [size =\"15226880\"]\n  2 -> 19 [size =\"15226880\"]\n  2 -> 20 [size =\"15226880\"]\n  2 -> 21 [size =\"15226880\"]\n  2 -> 22 [size =\"15226880\"]\n  2 -> 24 [size =\"15226880\"]\n  2 -> 30 [size =\"15226880\"]\n  2 -> 31 [size =\"15226880\"]\n  2 -> 35 [size =\"15226880\"]\n  3 [size=\"162693120\", alpha=\"0.12\", expect_size=\"48807936\"] \n  3 -> 20 [size =\"48807936\"]\n  3 -> 21 [size =\"48807936\"]\n  3 -> 24 [size =\"48807936\"]\n  3 -> 25 [size =\"48807936\"]\n  3 -> 30 [size =\"48807936\"]\n  3 -> 31 [size =\"48807936\"]\n  3 -> 34 [size =\"48807936\"]\n  3 -> 35 [size =\"48807936\"]\n  4 [size=\"54097920\", alpha=\"0.14\", expect_size=\"16229376\"] \n  4 -> 18 [size =\"16229376\"]\n  4 -> 22 [size =\"16229376\"]\n  4 -> 24 [size =\"16229376\"]\n  4 -> 30 [size =\"16229376\"]\n  4 -> 31 [size =\"16229376\"]\n  4 -> 35 [size =\"16229376\"]\n  5 [size=\"101051733\", alpha=\"0.17\", expect_size=\"30315520\"] \n  5 -> 21 [size =\"30315520\"]\n  5 -> 33 [size =\"30315520\"]\n  6 [size=\"76878507\", alpha=\"0.11\", expect_size=\"23063552\"] \n  6 -> 22 [size =\"23063552\"]\n  6 -> 23 [size =\"23063552\"]\n  6 -> 33 [size =\"23063552\"]\n  6 -> 34 [size =\"23063552\"]\n  7 [size=\"108557653\", alpha=\"0.03\", expect_size=\"32567296\"] \n  7 -> 18 [size =\"32567296\"]\n  7 -> 22 [size =\"32567296\"]\n  7 -> 30 [size =\"32567296\"]\n  7 -> 31 [size =\"32567296\"]\n  7 -> 33 [size =\"32567296\"]\n  7 -> 34 [size =\"32567296\"]\n  8 [size=\"46926507\", alpha=\"0.00\", expect_size=\"14077952\"] \n  8 -> 19 [size =\"14077952\"]\n  8 -> 20 [size =\"14077952\"]\n  8 -> 21 [size =\"14077952\"]\n  8 -> 24 [size =\"14077952\"]\n  8 -> 27 [size =\"14077952\"]\n  8 -> 33 [size =\"14077952\"]\n  8 -> 35 [size =\"14077952\"]\n  9 [size=\"143561387\", alpha=\"0.01\", expect_size=\"43068416\"] \n  9 -> 19 [size =\"43068416\"]\n  9 -> 21 [size =\"43068416\"]\n  9 -> 22 [size =\"43068416\"]\n  9 -> 24 [size =\"43068416\"]\n  9 -> 28 [size =\"43068416\"]\n  10 [size=\"103427413\", alpha=\"0.01\", expect_size=\"31028224\"] \n  10 -> 19 [size =\"31028224\"]\n  10 -> 20 [size =\"31028224\"]\n  10 -> 21 [size =\"31028224\"]\n  10 -> 24 [size =\"31028224\"]\n  10 -> 27 [size =\"31028224\"]\n  10 -> 30 [size =\"31028224\"]\n  11 [size=\"171772587\", alpha=\"0.13\", expect_size=\"51531776\"] \n  11 -> 19 [size =\"51531776\"]\n  11 -> 22 [size =\"51531776\"]\n  11 -> 30 [size =\"51531776\"]\n  11 -> 32 [size =\"51531776\"]\n  11 -> 35 [size =\"51531776\"]\n  12 [size=\"55869440\", alpha=\"0.17\", expect_size=\"16760832\"] \n  12 -> 19 [size =\"16760832\"]\n  12 -> 24 [size =\"16760832\"]\n  12 -> 30 [size =\"16760832\"]\n  12 -> 33 [size =\"16760832\"]\n  13 [size=\"76574720\", alpha=\"0.18\", expect_size=\"22972416\"] \n  13 -> 19 [size =\"22972416\"]\n  13 -> 20 [size =\"22972416\"]\n  13 -> 25 [size =\"22972416\"]\n  13 -> 30 [size =\"22972416\"]\n  13 -> 35 [size =\"22972416\"]\n  14 [size=\"168331947\", alpha=\"0.17\", expect_size=\"50499584\"] \n  14 -> 19 [size =\"50499584\"]\n  14 -> 24 [size =\"50499584\"]\n  14 -> 26 [size =\"50499584\"]\n  14 -> 30 [size =\"50499584\"]\n  14 -> 31 [size =\"50499584\"]\n  14 -> 34 [size =\"50499584\"]\n  14 -> 35 [size =\"50499584\"]\n  14 -> 36 [size =\"50499584\"]\n  15 [size=\"123105280\", alpha=\"0.11\", expect_size=\"36931584\"] \n  15 -> 18 [size =\"36931584\"]\n  15 -> 20 [size =\"36931584\"]\n  15 -> 21 [size =\"36931584\"]\n  15 -> 22 [size =\"36931584\"]\n  15 -> 23 [size =\"36931584\"]\n  15 -> 26 [size =\"36931584\"]\n  15 -> 28 [size =\"36931584\"]\n  15 -> 30 [size =\"36931584\"]\n  15 -> 31 [size =\"36931584\"]\n  16 [size=\"100744533\", alpha=\"0.10\", expect_size=\"30223360\"] \n  16 -> 18 [size =\"30223360\"]\n  16 -> 20 [size =\"30223360\"]\n  16 -> 24 [size =\"30223360\"]\n  16 -> 29 [size =\"30223360\"]\n  16 -> 34 [size =\"30223360\"]\n  16 -> 35 [size =\"30223360\"]\n  16 -> 36 [size =\"30223360\"]\n  17 [size=\"32088747\", alpha=\"0.15\", expect_size=\"9626624\"] \n  17 -> 19 [size =\"9626624\"]\n  17 -> 20 [size =\"9626624\"]\n  17 -> 30 [size =\"9626624\"]\n  17 -> 31 [size =\"9626624\"]\n  17 -> 33 [size =\"9626624\"]\n  17 -> 35 [size =\"9626624\"]\n  18 [size=\"55616853\", alpha=\"0.02\", expect_size=\"16685056\"] \n  18 -> 39 [size =\"16685056\"]\n  18 -> 41 [size =\"16685056\"]\n  18 -> 45 [size =\"16685056\"]\n  19 [size=\"58282667\", alpha=\"0.02\", expect_size=\"17484800\"] \n  19 -> 37 [size =\"17484800\"]\n  19 -> 41 [size =\"17484800\"]\n  19 -> 43 [size =\"17484800\"]\n  19 -> 47 [size =\"17484800\"]\n  19 -> 48 [size =\"17484800\"]\n  19 -> 50 [size =\"17484800\"]\n  20 [size=\"62641493\", alpha=\"0.19\", expect_size=\"18792448\"] \n  20 -> 37 [size =\"18792448\"]\n  20 -> 39 [size =\"18792448\"]\n  20 -> 41 [size =\"18792448\"]\n  20 -> 42 [size =\"18792448\"]\n  20 -> 44 [size =\"18792448\"]\n  20 -> 45 [size =\"18792448\"]\n  21 [size=\"66577067\", alpha=\"0.12\", expect_size=\"19973120\"] \n  21 -> 39 [size =\"19973120\"]\n  21 -> 46 [size =\"19973120\"]\n  22 [size=\"168352427\", alpha=\"0.10\", expect_size=\"50505728\"] \n  22 -> 39 [size =\"50505728\"]\n  22 -> 45 [size =\"50505728\"]\n  22 -> 46 [size =\"50505728\"]\n  23 [size=\"144602453\", alpha=\"0.06\", expect_size=\"43380736\"] \n  23 -> 39 [size =\"43380736\"]\n  23 -> 40 [size =\"43380736\"]\n  23 -> 41 [size =\"43380736\"]\n  23 -> 45 [size =\"43380736\"]\n  23 -> 46 [size =\"43380736\"]\n  24 [size=\"132604587\", alpha=\"0.06\", expect_size=\"39781376\"] \n  24 -> 37 [size =\"39781376\"]\n  24 -> 39 [size =\"39781376\"]\n  24 -> 40 [size =\"39781376\"]\n  24 -> 45 [size =\"39781376\"]\n  24 -> 48 [size =\"39781376\"]\n  24 -> 50 [size =\"39781376\"]\n  25 [size=\"107506347\", alpha=\"0.18\", expect_size=\"32251904\"] \n  25 -> 37 [size =\"32251904\"]\n  25 -> 40 [size =\"32251904\"]\n  25 -> 41 [size =\"32251904\"]\n  25 -> 44 [size =\"32251904\"]\n  25 -> 45 [size =\"32251904\"]\n  25 -> 46 [size =\"32251904\"]\n  25 -> 47 [size =\"32251904\"]\n  26 [size=\"33181013\", alpha=\"0.17\", expect_size=\"9954304\"] \n  26 -> 37 [size =\"9954304\"]\n  26 -> 40 [size =\"9954304\"]\n  26 -> 44 [size =\"9954304\"]\n  26 -> 47 [size =\"9954304\"]\n  26 -> 50 [size =\"9954304\"]\n  27 [size=\"112414720\", alpha=\"0.07\", expect_size=\"33724416\"] \n  27 -> 39 [size =\"33724416\"]\n  27 -> 41 [size =\"33724416\"]\n  27 -> 47 [size =\"33724416\"]\n  27 -> 48 [size =\"33724416\"]\n  27 -> 50 [size =\"33724416\"]\n  28 [size=\"70116693\", alpha=\"0.02\", expect_size=\"21035008\"] \n  28 -> 37 [size =\"21035008\"]\n  28 -> 39 [size =\"21035008\"]\n  28 -> 41 [size =\"21035008\"]\n  28 -> 47 [size =\"21035008\"]\n  28 -> 49 [size =\"21035008\"]\n  29 [size=\"87258453\", alpha=\"0.12\", expect_size=\"26177536\"] \n  29 -> 37 [size =\"26177536\"]\n  29 -> 39 [size =\"26177536\"]\n  29 -> 46 [size =\"26177536\"]\n  29 -> 49 [size =\"26177536\"]\n  29 -> 49 [size =\"26177536\"]\n  30 [size=\"103898453\", alpha=\"0.13\", expect_size=\"31169536\"] \n  30 -> 39 [size =\"31169536\"]\n  30 -> 41 [size =\"31169536\"]\n  30 -> 50 [size =\"31169536\"]\n  31 [size=\"93044053\", alpha=\"0.14\", expect_size=\"27913216\"] \n  31 -> 37 [size =\"27913216\"]\n  31 -> 41 [size =\"27913216\"]\n  31 -> 46 [size =\"27913216\"]\n  31 -> 47 [size =\"27913216\"]\n  31 -> 48 [size =\"27913216\"]\n  31 -> 50 [size =\"27913216\"]\n  32 [size=\"30276267\", alpha=\"0.20\", expect_size=\"9082880\"] \n  32 -> 37 [size =\"9082880\"]\n  32 -> 41 [size =\"9082880\"]\n  32 -> 44 [size =\"9082880\"]\n  32 -> 46 [size =\"9082880\"]\n  32 -> 48 [size =\"9082880\"]\n  32 -> 50 [size =\"9082880\"]\n  33 [size=\"106164907\", alpha=\"0.13\", expect_size=\"31849472\"] \n  33 -> 37 [size =\"31849472\"]\n  33 -> 45 [size =\"31849472\"]\n  33 -> 46 [size =\"31849472\"]\n  33 -> 46 [size =\"31849472\"]\n  34 [size=\"151357440\", alpha=\"0.05\", expect_size=\"45407232\"] \n  34 -> 37 [size =\"45407232\"]\n  34 -> 38 [size =\"45407232\"]\n  34 -> 40 [size =\"45407232\"]\n  34 -> 41 [size =\"45407232\"]\n  34 -> 46 [size =\"45407232\"]\n  34 -> 49 [size =\"45407232\"]\n  35 [size=\"45189120\", alpha=\"0.11\", expect_size=\"13556736\"] \n  35 -> 37 [size =\"13556736\"]\n  35 -> 46 [size =\"13556736\"]\n  35 -> 47 [size =\"13556736\"]\n  35 -> 50 [size =\"13556736\"]\n  36 [size=\"28525227\", alpha=\"0.08\", expect_size=\"8557568\"] \n  36 -> 37 [size =\"8557568\"]\n  36 -> 40 [size =\"8557568\"]\n  36 -> 45 [size =\"8557568\"]\n  36 -> 47 [size =\"8557568\"]\n  37 [size=\"160764587\", alpha=\"0.06\", expect_size=\"48229376\"] \n  38 [size=\"61136213\", alpha=\"0.09\", expect_size=\"18340864\"] \n  39 [size=\"73663147\", alpha=\"0.17\", expect_size=\"22098944\"] \n  40 [size=\"167147520\", alpha=\"0.12\", expect_size=\"50144256\"] \n  41 [size=\"112967680\", alpha=\"0.12\", expect_size=\"33890304\"] \n  42 [size=\"65419947\", alpha=\"0.11\", expect_size=\"19625984\"] \n  43 [size=\"62904320\", alpha=\"0.07\", expect_size=\"18871296\"] \n  44 [size=\"164509013\", alpha=\"0.17\", expect_size=\"49352704\"] \n  45 [size=\"49244160\", alpha=\"0.19\", expect_size=\"14773248\"] \n  46 [size=\"137304747\", alpha=\"0.03\", expect_size=\"41191424\"] \n  47 [size=\"40106667\", alpha=\"0.19\", expect_size=\"12032000\"] \n  48 [size=\"86835200\", alpha=\"0.01\", expect_size=\"26050560\"] \n  49 [size=\"158347947\", alpha=\"0.13\", expect_size=\"47504384\"] \n  50 [size=\"138168320\", alpha=\"0.15\", expect_size=\"41450496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.313.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71040000\", alpha=\"0.19\", expect_size=\"28416000\"] \n  1 -> 11 [size =\"28416000\"]\n  1 -> 12 [size =\"28416000\"]\n  1 -> 15 [size =\"28416000\"]\n  1 -> 17 [size =\"28416000\"]\n  1 -> 17 [size =\"28416000\"]\n  1 -> 18 [size =\"28416000\"]\n  1 -> 20 [size =\"28416000\"]\n  1 -> 22 [size =\"28416000\"]\n  2 [size=\"106664960\", alpha=\"0.12\", expect_size=\"42665984\"] \n  2 -> 12 [size =\"42665984\"]\n  2 -> 13 [size =\"42665984\"]\n  2 -> 17 [size =\"42665984\"]\n  3 [size=\"83294720\", alpha=\"0.11\", expect_size=\"33317888\"] \n  3 -> 17 [size =\"33317888\"]\n  3 -> 18 [size =\"33317888\"]\n  3 -> 20 [size =\"33317888\"]\n  3 -> 21 [size =\"33317888\"]\n  3 -> 23 [size =\"33317888\"]\n  4 [size=\"74664960\", alpha=\"0.09\", expect_size=\"29865984\"] \n  4 -> 11 [size =\"29865984\"]\n  4 -> 12 [size =\"29865984\"]\n  4 -> 15 [size =\"29865984\"]\n  4 -> 17 [size =\"29865984\"]\n  4 -> 18 [size =\"29865984\"]\n  4 -> 20 [size =\"29865984\"]\n  4 -> 21 [size =\"29865984\"]\n  4 -> 22 [size =\"29865984\"]\n  4 -> 23 [size =\"29865984\"]\n  5 [size=\"19248640\", alpha=\"0.05\", expect_size=\"7699456\"] \n  5 -> 12 [size =\"7699456\"]\n  5 -> 13 [size =\"7699456\"]\n  5 -> 15 [size =\"7699456\"]\n  5 -> 16 [size =\"7699456\"]\n  5 -> 18 [size =\"7699456\"]\n  5 -> 21 [size =\"7699456\"]\n  5 -> 21 [size =\"7699456\"]\n  5 -> 22 [size =\"7699456\"]\n  5 -> 23 [size =\"7699456\"]\n  6 [size=\"107732480\", alpha=\"0.04\", expect_size=\"43092992\"] \n  6 -> 11 [size =\"43092992\"]\n  6 -> 12 [size =\"43092992\"]\n  6 -> 17 [size =\"43092992\"]\n  6 -> 18 [size =\"43092992\"]\n  6 -> 20 [size =\"43092992\"]\n  6 -> 23 [size =\"43092992\"]\n  7 [size=\"29089280\", alpha=\"0.03\", expect_size=\"11635712\"] \n  7 -> 11 [size =\"11635712\"]\n  7 -> 12 [size =\"11635712\"]\n  7 -> 13 [size =\"11635712\"]\n  7 -> 15 [size =\"11635712\"]\n  7 -> 16 [size =\"11635712\"]\n  7 -> 19 [size =\"11635712\"]\n  7 -> 23 [size =\"11635712\"]\n  8 [size=\"112138240\", alpha=\"0.04\", expect_size=\"44855296\"] \n  8 -> 11 [size =\"44855296\"]\n  8 -> 12 [size =\"44855296\"]\n  8 -> 13 [size =\"44855296\"]\n  8 -> 15 [size =\"44855296\"]\n  8 -> 17 [size =\"44855296\"]\n  8 -> 19 [size =\"44855296\"]\n  8 -> 23 [size =\"44855296\"]\n  9 [size=\"34969600\", alpha=\"0.06\", expect_size=\"13987840\"] \n  9 -> 11 [size =\"13987840\"]\n  9 -> 12 [size =\"13987840\"]\n  9 -> 13 [size =\"13987840\"]\n  9 -> 15 [size =\"13987840\"]\n  9 -> 17 [size =\"13987840\"]\n  9 -> 18 [size =\"13987840\"]\n  9 -> 20 [size =\"13987840\"]\n  9 -> 23 [size =\"13987840\"]\n  10 [size=\"40355840\", alpha=\"0.06\", expect_size=\"16142336\"] \n  10 -> 11 [size =\"16142336\"]\n  10 -> 13 [size =\"16142336\"]\n  10 -> 13 [size =\"16142336\"]\n  10 -> 14 [size =\"16142336\"]\n  10 -> 17 [size =\"16142336\"]\n  10 -> 18 [size =\"16142336\"]\n  10 -> 19 [size =\"16142336\"]\n  11 [size=\"38658560\", alpha=\"0.11\", expect_size=\"15463424\"] \n  11 -> 26 [size =\"15463424\"]\n  11 -> 28 [size =\"15463424\"]\n  11 -> 29 [size =\"15463424\"]\n  11 -> 31 [size =\"15463424\"]\n  11 -> 32 [size =\"15463424\"]\n  12 [size=\"30917120\", alpha=\"0.05\", expect_size=\"12366848\"] \n  12 -> 25 [size =\"12366848\"]\n  12 -> 26 [size =\"12366848\"]\n  12 -> 28 [size =\"12366848\"]\n  12 -> 29 [size =\"12366848\"]\n  12 -> 32 [size =\"12366848\"]\n  13 [size=\"100928000\", alpha=\"0.04\", expect_size=\"40371200\"] \n  13 -> 24 [size =\"40371200\"]\n  13 -> 26 [size =\"40371200\"]\n  13 -> 28 [size =\"40371200\"]\n  13 -> 29 [size =\"40371200\"]\n  13 -> 32 [size =\"40371200\"]\n  14 [size=\"46254080\", alpha=\"0.08\", expect_size=\"18501632\"] \n  14 -> 26 [size =\"18501632\"]\n  14 -> 28 [size =\"18501632\"]\n  14 -> 32 [size =\"18501632\"]\n  15 [size=\"99568640\", alpha=\"0.05\", expect_size=\"39827456\"] \n  16 [size=\"130920960\", alpha=\"0.10\", expect_size=\"52368384\"] \n  16 -> 28 [size =\"52368384\"]\n  17 [size=\"35330560\", alpha=\"0.07\", expect_size=\"14132224\"] \n  17 -> 25 [size =\"14132224\"]\n  17 -> 28 [size =\"14132224\"]\n  18 [size=\"52910080\", alpha=\"0.16\", expect_size=\"21164032\"] \n  18 -> 28 [size =\"21164032\"]\n  18 -> 32 [size =\"21164032\"]\n  19 [size=\"76008960\", alpha=\"0.09\", expect_size=\"30403584\"] \n  19 -> 25 [size =\"30403584\"]\n  19 -> 28 [size =\"30403584\"]\n  19 -> 32 [size =\"30403584\"]\n  20 [size=\"109317120\", alpha=\"0.09\", expect_size=\"43726848\"] \n  20 -> 25 [size =\"43726848\"]\n  20 -> 28 [size =\"43726848\"]\n  20 -> 29 [size =\"43726848\"]\n  20 -> 32 [size =\"43726848\"]\n  21 [size=\"29450240\", alpha=\"0.19\", expect_size=\"11780096\"] \n  21 -> 25 [size =\"11780096\"]\n  21 -> 26 [size =\"11780096\"]\n  21 -> 31 [size =\"11780096\"]\n  21 -> 32 [size =\"11780096\"]\n  22 [size=\"91811840\", alpha=\"0.04\", expect_size=\"36724736\"] \n  22 -> 26 [size =\"36724736\"]\n  22 -> 26 [size =\"36724736\"]\n  22 -> 27 [size =\"36724736\"]\n  22 -> 29 [size =\"36724736\"]\n  22 -> 30 [size =\"36724736\"]\n  22 -> 31 [size =\"36724736\"]\n  22 -> 32 [size =\"36724736\"]\n  22 -> 33 [size =\"36724736\"]\n  23 [size=\"123947520\", alpha=\"0.01\", expect_size=\"49579008\"] \n  23 -> 26 [size =\"49579008\"]\n  23 -> 29 [size =\"49579008\"]\n  23 -> 32 [size =\"49579008\"]\n  24 [size=\"27338240\", alpha=\"0.09\", expect_size=\"10935296\"] \n  24 -> 34 [size =\"10935296\"]\n  24 -> 35 [size =\"10935296\"]\n  24 -> 37 [size =\"10935296\"]\n  24 -> 39 [size =\"10935296\"]\n  24 -> 40 [size =\"10935296\"]\n  24 -> 41 [size =\"10935296\"]\n  24 -> 43 [size =\"10935296\"]\n  24 -> 45 [size =\"10935296\"]\n  24 -> 48 [size =\"10935296\"]\n  24 -> 48 [size =\"10935296\"]\n  24 -> 50 [size =\"10935296\"]\n  25 [size=\"71979520\", alpha=\"0.18\", expect_size=\"28791808\"] \n  25 -> 39 [size =\"28791808\"]\n  25 -> 40 [size =\"28791808\"]\n  25 -> 43 [size =\"28791808\"]\n  25 -> 45 [size =\"28791808\"]\n  25 -> 46 [size =\"28791808\"]\n  25 -> 47 [size =\"28791808\"]\n  25 -> 48 [size =\"28791808\"]\n  26 [size=\"103467520\", alpha=\"0.03\", expect_size=\"41387008\"] \n  26 -> 34 [size =\"41387008\"]\n  26 -> 39 [size =\"41387008\"]\n  26 -> 40 [size =\"41387008\"]\n  26 -> 43 [size =\"41387008\"]\n  26 -> 46 [size =\"41387008\"]\n  26 -> 47 [size =\"41387008\"]\n  26 -> 48 [size =\"41387008\"]\n  26 -> 49 [size =\"41387008\"]\n  27 [size=\"41856000\", alpha=\"0.10\", expect_size=\"16742400\"] \n  27 -> 34 [size =\"16742400\"]\n  27 -> 36 [size =\"16742400\"]\n  27 -> 39 [size =\"16742400\"]\n  27 -> 40 [size =\"16742400\"]\n  27 -> 42 [size =\"16742400\"]\n  27 -> 43 [size =\"16742400\"]\n  27 -> 45 [size =\"16742400\"]\n  27 -> 49 [size =\"16742400\"]\n  27 -> 50 [size =\"16742400\"]\n  28 [size=\"85816320\", alpha=\"0.14\", expect_size=\"34326528\"] \n  28 -> 34 [size =\"34326528\"]\n  28 -> 39 [size =\"34326528\"]\n  28 -> 41 [size =\"34326528\"]\n  28 -> 42 [size =\"34326528\"]\n  28 -> 44 [size =\"34326528\"]\n  28 -> 46 [size =\"34326528\"]\n  29 [size=\"63738880\", alpha=\"0.02\", expect_size=\"25495552\"] \n  29 -> 43 [size =\"25495552\"]\n  29 -> 45 [size =\"25495552\"]\n  29 -> 47 [size =\"25495552\"]\n  29 -> 48 [size =\"25495552\"]\n  29 -> 49 [size =\"25495552\"]\n  29 -> 50 [size =\"25495552\"]\n  30 [size=\"119503360\", alpha=\"0.15\", expect_size=\"47801344\"] \n  30 -> 39 [size =\"47801344\"]\n  30 -> 44 [size =\"47801344\"]\n  30 -> 46 [size =\"47801344\"]\n  30 -> 47 [size =\"47801344\"]\n  30 -> 49 [size =\"47801344\"]\n  31 [size=\"55431680\", alpha=\"0.12\", expect_size=\"22172672\"] \n  31 -> 34 [size =\"22172672\"]\n  31 -> 40 [size =\"22172672\"]\n  31 -> 41 [size =\"22172672\"]\n  31 -> 43 [size =\"22172672\"]\n  31 -> 46 [size =\"22172672\"]\n  31 -> 47 [size =\"22172672\"]\n  31 -> 48 [size =\"22172672\"]\n  32 [size=\"47426560\", alpha=\"0.12\", expect_size=\"18970624\"] \n  32 -> 39 [size =\"18970624\"]\n  32 -> 43 [size =\"18970624\"]\n  32 -> 48 [size =\"18970624\"]\n  33 [size=\"71080960\", alpha=\"0.07\", expect_size=\"28432384\"] \n  33 -> 35 [size =\"28432384\"]\n  33 -> 36 [size =\"28432384\"]\n  33 -> 38 [size =\"28432384\"]\n  33 -> 39 [size =\"28432384\"]\n  33 -> 40 [size =\"28432384\"]\n  33 -> 43 [size =\"28432384\"]\n  33 -> 44 [size =\"28432384\"]\n  33 -> 45 [size =\"28432384\"]\n  33 -> 47 [size =\"28432384\"]\n  33 -> 48 [size =\"28432384\"]\n  34 [size=\"78620160\", alpha=\"0.07\", expect_size=\"31448064\"] \n  35 [size=\"13639680\", alpha=\"0.02\", expect_size=\"5455872\"] \n  36 [size=\"118210560\", alpha=\"0.17\", expect_size=\"47284224\"] \n  37 [size=\"15104000\", alpha=\"0.16\", expect_size=\"6041600\"] \n  38 [size=\"74196480\", alpha=\"0.02\", expect_size=\"29678592\"] \n  39 [size=\"40627200\", alpha=\"0.18\", expect_size=\"16250880\"] \n  40 [size=\"54220800\", alpha=\"0.11\", expect_size=\"21688320\"] \n  41 [size=\"24268800\", alpha=\"0.06\", expect_size=\"9707520\"] \n  42 [size=\"94287360\", alpha=\"0.15\", expect_size=\"37714944\"] \n  43 [size=\"46159360\", alpha=\"0.02\", expect_size=\"18463744\"] \n  44 [size=\"85667840\", alpha=\"0.12\", expect_size=\"34267136\"] \n  45 [size=\"128002560\", alpha=\"0.12\", expect_size=\"51201024\"] \n  46 [size=\"23692800\", alpha=\"0.08\", expect_size=\"9477120\"] \n  47 [size=\"126487040\", alpha=\"0.08\", expect_size=\"50594816\"] \n  48 [size=\"104714240\", alpha=\"0.00\", expect_size=\"41885696\"] \n  49 [size=\"116139520\", alpha=\"0.01\", expect_size=\"46455808\"] \n  50 [size=\"105707520\", alpha=\"0.00\", expect_size=\"42283008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.314.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38184960\", alpha=\"0.13\", expect_size=\"19092480\"] \n  1 -> 4 [size =\"19092480\"]\n  1 -> 5 [size =\"19092480\"]\n  2 [size=\"67391488\", alpha=\"0.07\", expect_size=\"33695744\"] \n  2 -> 3 [size =\"33695744\"]\n  3 [size=\"18112512\", alpha=\"0.16\", expect_size=\"9056256\"] \n  3 -> 6 [size =\"9056256\"]\n  3 -> 7 [size =\"9056256\"]\n  4 [size=\"11186176\", alpha=\"0.08\", expect_size=\"5593088\"] \n  4 -> 6 [size =\"5593088\"]\n  5 [size=\"24827904\", alpha=\"0.16\", expect_size=\"12413952\"] \n  5 -> 7 [size =\"12413952\"]\n  6 [size=\"38574080\", alpha=\"0.13\", expect_size=\"19287040\"] \n  6 -> 8 [size =\"19287040\"]\n  7 [size=\"24668160\", alpha=\"0.05\", expect_size=\"12334080\"] \n  7 -> 9 [size =\"12334080\"]\n  8 [size=\"46346240\", alpha=\"0.18\", expect_size=\"23173120\"] \n  8 -> 10 [size =\"23173120\"]\n  9 [size=\"63068160\", alpha=\"0.06\", expect_size=\"31534080\"] \n  9 -> 11 [size =\"31534080\"]\n  10 [size=\"102012928\", alpha=\"0.08\", expect_size=\"51006464\"] \n  10 -> 12 [size =\"51006464\"]\n  11 [size=\"87853056\", alpha=\"0.09\", expect_size=\"43926528\"] \n  11 -> 13 [size =\"43926528\"]\n  12 [size=\"52948992\", alpha=\"0.15\", expect_size=\"26474496\"] \n  13 [size=\"86059008\", alpha=\"0.02\", expect_size=\"43029504\"] \n  13 -> 14 [size =\"43029504\"]\n  13 -> 15 [size =\"43029504\"]\n  13 -> 16 [size =\"43029504\"]\n  14 [size=\"64954368\", alpha=\"0.14\", expect_size=\"32477184\"] \n  14 -> 17 [size =\"32477184\"]\n  14 -> 19 [size =\"32477184\"]\n  15 [size=\"10596352\", alpha=\"0.09\", expect_size=\"5298176\"] \n  15 -> 17 [size =\"5298176\"]\n  15 -> 18 [size =\"5298176\"]\n  16 [size=\"84183040\", alpha=\"0.17\", expect_size=\"42091520\"] \n  16 -> 19 [size =\"42091520\"]\n  17 [size=\"51982336\", alpha=\"0.10\", expect_size=\"25991168\"] \n  17 -> 21 [size =\"25991168\"]\n  18 [size=\"77252608\", alpha=\"0.20\", expect_size=\"38626304\"] \n  18 -> 20 [size =\"38626304\"]\n  19 [size=\"66613248\", alpha=\"0.07\", expect_size=\"33306624\"] \n  19 -> 20 [size =\"33306624\"]\n  19 -> 22 [size =\"33306624\"]\n  20 [size=\"94511104\", alpha=\"0.17\", expect_size=\"47255552\"] \n  20 -> 23 [size =\"47255552\"]\n  21 [size=\"39139328\", alpha=\"0.13\", expect_size=\"19569664\"] \n  21 -> 24 [size =\"19569664\"]\n  22 [size=\"81117184\", alpha=\"0.01\", expect_size=\"40558592\"] \n  23 [size=\"55805952\", alpha=\"0.11\", expect_size=\"27902976\"] \n  23 -> 25 [size =\"27902976\"]\n  23 -> 26 [size =\"27902976\"]\n  24 [size=\"64229376\", alpha=\"0.01\", expect_size=\"32114688\"] \n  24 -> 27 [size =\"32114688\"]\n  25 [size=\"36583424\", alpha=\"0.13\", expect_size=\"18291712\"] \n  25 -> 28 [size =\"18291712\"]\n  25 -> 29 [size =\"18291712\"]\n  26 [size=\"78893056\", alpha=\"0.12\", expect_size=\"39446528\"] \n  26 -> 28 [size =\"39446528\"]\n  27 [size=\"64112640\", alpha=\"0.14\", expect_size=\"32056320\"] \n  28 [size=\"16771072\", alpha=\"0.04\", expect_size=\"8385536\"] \n  28 -> 30 [size =\"8385536\"]\n  28 -> 31 [size =\"8385536\"]\n  29 [size=\"15742976\", alpha=\"0.04\", expect_size=\"7871488\"] \n  29 -> 32 [size =\"7871488\"]\n  30 [size=\"48525312\", alpha=\"0.04\", expect_size=\"24262656\"] \n  30 -> 35 [size =\"24262656\"]\n  31 [size=\"34725888\", alpha=\"0.00\", expect_size=\"17362944\"] \n  31 -> 33 [size =\"17362944\"]\n  31 -> 34 [size =\"17362944\"]\n  31 -> 35 [size =\"17362944\"]\n  32 [size=\"96411648\", alpha=\"0.06\", expect_size=\"48205824\"] \n  32 -> 33 [size =\"48205824\"]\n  33 [size=\"101750784\", alpha=\"0.07\", expect_size=\"50875392\"] \n  33 -> 36 [size =\"50875392\"]\n  34 [size=\"58368000\", alpha=\"0.00\", expect_size=\"29184000\"] \n  34 -> 37 [size =\"29184000\"]\n  35 [size=\"61335552\", alpha=\"0.13\", expect_size=\"30667776\"] \n  35 -> 37 [size =\"30667776\"]\n  36 [size=\"30627840\", alpha=\"0.02\", expect_size=\"15313920\"] \n  36 -> 39 [size =\"15313920\"]\n  37 [size=\"88700928\", alpha=\"0.19\", expect_size=\"44350464\"] \n  37 -> 38 [size =\"44350464\"]\n  37 -> 40 [size =\"44350464\"]\n  38 [size=\"60999680\", alpha=\"0.10\", expect_size=\"30499840\"] \n  38 -> 41 [size =\"30499840\"]\n  39 [size=\"77754368\", alpha=\"0.14\", expect_size=\"38877184\"] \n  39 -> 42 [size =\"38877184\"]\n  40 [size=\"97177600\", alpha=\"0.15\", expect_size=\"48588800\"] \n  40 -> 41 [size =\"48588800\"]\n  41 [size=\"22052864\", alpha=\"0.02\", expect_size=\"11026432\"] \n  42 [size=\"24121344\", alpha=\"0.05\", expect_size=\"12060672\"] \n  42 -> 43 [size =\"12060672\"]\n  42 -> 44 [size =\"12060672\"]\n  43 [size=\"51474432\", alpha=\"0.16\", expect_size=\"25737216\"] \n  43 -> 46 [size =\"25737216\"]\n  44 [size=\"85315584\", alpha=\"0.20\", expect_size=\"42657792\"] \n  44 -> 45 [size =\"42657792\"]\n  45 [size=\"85743616\", alpha=\"0.08\", expect_size=\"42871808\"] \n  45 -> 48 [size =\"42871808\"]\n  46 [size=\"52867072\", alpha=\"0.12\", expect_size=\"26433536\"] \n  46 -> 47 [size =\"26433536\"]\n  47 [size=\"60385280\", alpha=\"0.06\", expect_size=\"30192640\"] \n  47 -> 50 [size =\"30192640\"]\n  48 [size=\"55422976\", alpha=\"0.02\", expect_size=\"27711488\"] \n  48 -> 49 [size =\"27711488\"]\n  49 [size=\"104749056\", alpha=\"0.19\", expect_size=\"52374528\"] \n  50 [size=\"75747328\", alpha=\"0.05\", expect_size=\"37873664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.315.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52951040\", alpha=\"0.08\", expect_size=\"15885312\"] \n  1 -> 23 [size =\"15885312\"]\n  1 -> 25 [size =\"15885312\"]\n  1 -> 26 [size =\"15885312\"]\n  1 -> 27 [size =\"15885312\"]\n  1 -> 29 [size =\"15885312\"]\n  2 [size=\"170229760\", alpha=\"0.09\", expect_size=\"51068928\"] \n  2 -> 18 [size =\"51068928\"]\n  2 -> 20 [size =\"51068928\"]\n  2 -> 27 [size =\"51068928\"]\n  3 [size=\"37997227\", alpha=\"0.03\", expect_size=\"11399168\"] \n  3 -> 17 [size =\"11399168\"]\n  3 -> 18 [size =\"11399168\"]\n  3 -> 19 [size =\"11399168\"]\n  4 [size=\"53046613\", alpha=\"0.06\", expect_size=\"15913984\"] \n  4 -> 20 [size =\"15913984\"]\n  4 -> 22 [size =\"15913984\"]\n  4 -> 26 [size =\"15913984\"]\n  5 [size=\"139421013\", alpha=\"0.01\", expect_size=\"41826304\"] \n  5 -> 19 [size =\"41826304\"]\n  5 -> 20 [size =\"41826304\"]\n  5 -> 29 [size =\"41826304\"]\n  5 -> 30 [size =\"41826304\"]\n  6 [size=\"166249813\", alpha=\"0.18\", expect_size=\"49874944\"] \n  6 -> 17 [size =\"49874944\"]\n  6 -> 20 [size =\"49874944\"]\n  6 -> 23 [size =\"49874944\"]\n  6 -> 28 [size =\"49874944\"]\n  6 -> 30 [size =\"49874944\"]\n  7 [size=\"165741227\", alpha=\"0.11\", expect_size=\"49722368\"] \n  7 -> 21 [size =\"49722368\"]\n  7 -> 26 [size =\"49722368\"]\n  7 -> 30 [size =\"49722368\"]\n  8 [size=\"135775573\", alpha=\"0.10\", expect_size=\"40732672\"] \n  8 -> 18 [size =\"40732672\"]\n  8 -> 23 [size =\"40732672\"]\n  8 -> 26 [size =\"40732672\"]\n  8 -> 29 [size =\"40732672\"]\n  8 -> 30 [size =\"40732672\"]\n  9 [size=\"25384960\", alpha=\"0.05\", expect_size=\"7615488\"] \n  9 -> 19 [size =\"7615488\"]\n  9 -> 30 [size =\"7615488\"]\n  9 -> 32 [size =\"7615488\"]\n  10 [size=\"22005760\", alpha=\"0.10\", expect_size=\"6601728\"] \n  10 -> 21 [size =\"6601728\"]\n  10 -> 22 [size =\"6601728\"]\n  10 -> 23 [size =\"6601728\"]\n  10 -> 27 [size =\"6601728\"]\n  10 -> 32 [size =\"6601728\"]\n  11 [size=\"63737173\", alpha=\"0.12\", expect_size=\"19121152\"] \n  11 -> 18 [size =\"19121152\"]\n  11 -> 19 [size =\"19121152\"]\n  11 -> 20 [size =\"19121152\"]\n  11 -> 24 [size =\"19121152\"]\n  11 -> 27 [size =\"19121152\"]\n  11 -> 28 [size =\"19121152\"]\n  12 [size=\"123142827\", alpha=\"0.11\", expect_size=\"36942848\"] \n  12 -> 26 [size =\"36942848\"]\n  12 -> 27 [size =\"36942848\"]\n  13 [size=\"33713493\", alpha=\"0.02\", expect_size=\"10114048\"] \n  13 -> 19 [size =\"10114048\"]\n  13 -> 22 [size =\"10114048\"]\n  14 [size=\"55893333\", alpha=\"0.15\", expect_size=\"16768000\"] \n  14 -> 19 [size =\"16768000\"]\n  14 -> 27 [size =\"16768000\"]\n  15 [size=\"101468160\", alpha=\"0.14\", expect_size=\"30440448\"] \n  15 -> 22 [size =\"30440448\"]\n  15 -> 29 [size =\"30440448\"]\n  16 [size=\"107461973\", alpha=\"0.04\", expect_size=\"32238592\"] \n  16 -> 17 [size =\"32238592\"]\n  16 -> 22 [size =\"32238592\"]\n  16 -> 28 [size =\"32238592\"]\n  16 -> 29 [size =\"32238592\"]\n  16 -> 31 [size =\"32238592\"]\n  16 -> 32 [size =\"32238592\"]\n  17 [size=\"92702720\", alpha=\"0.12\", expect_size=\"27810816\"] \n  17 -> 34 [size =\"27810816\"]\n  17 -> 36 [size =\"27810816\"]\n  17 -> 42 [size =\"27810816\"]\n  17 -> 45 [size =\"27810816\"]\n  18 [size=\"24620373\", alpha=\"0.17\", expect_size=\"7386112\"] \n  18 -> 35 [size =\"7386112\"]\n  18 -> 41 [size =\"7386112\"]\n  18 -> 42 [size =\"7386112\"]\n  18 -> 45 [size =\"7386112\"]\n  19 [size=\"99737600\", alpha=\"0.15\", expect_size=\"29921280\"] \n  19 -> 36 [size =\"29921280\"]\n  19 -> 40 [size =\"29921280\"]\n  19 -> 41 [size =\"29921280\"]\n  19 -> 42 [size =\"29921280\"]\n  19 -> 44 [size =\"29921280\"]\n  19 -> 45 [size =\"29921280\"]\n  20 [size=\"138458453\", alpha=\"0.13\", expect_size=\"41537536\"] \n  20 -> 40 [size =\"41537536\"]\n  20 -> 41 [size =\"41537536\"]\n  20 -> 41 [size =\"41537536\"]\n  20 -> 46 [size =\"41537536\"]\n  21 [size=\"59364693\", alpha=\"0.15\", expect_size=\"17809408\"] \n  21 -> 33 [size =\"17809408\"]\n  21 -> 45 [size =\"17809408\"]\n  22 [size=\"151490560\", alpha=\"0.17\", expect_size=\"45447168\"] \n  22 -> 37 [size =\"45447168\"]\n  23 [size=\"80851627\", alpha=\"0.01\", expect_size=\"24255488\"] \n  23 -> 41 [size =\"24255488\"]\n  23 -> 42 [size =\"24255488\"]\n  23 -> 45 [size =\"24255488\"]\n  24 [size=\"97570133\", alpha=\"0.10\", expect_size=\"29271040\"] \n  24 -> 45 [size =\"29271040\"]\n  25 [size=\"61242027\", alpha=\"0.14\", expect_size=\"18372608\"] \n  25 -> 35 [size =\"18372608\"]\n  25 -> 41 [size =\"18372608\"]\n  26 [size=\"173393920\", alpha=\"0.18\", expect_size=\"52018176\"] \n  26 -> 35 [size =\"52018176\"]\n  26 -> 36 [size =\"52018176\"]\n  26 -> 39 [size =\"52018176\"]\n  26 -> 41 [size =\"52018176\"]\n  26 -> 42 [size =\"52018176\"]\n  26 -> 45 [size =\"52018176\"]\n  27 [size=\"49326080\", alpha=\"0.20\", expect_size=\"14797824\"] \n  27 -> 37 [size =\"14797824\"]\n  27 -> 41 [size =\"14797824\"]\n  28 [size=\"141786453\", alpha=\"0.17\", expect_size=\"42535936\"] \n  28 -> 36 [size =\"42535936\"]\n  28 -> 42 [size =\"42535936\"]\n  28 -> 45 [size =\"42535936\"]\n  29 [size=\"120306347\", alpha=\"0.15\", expect_size=\"36091904\"] \n  29 -> 37 [size =\"36091904\"]\n  29 -> 38 [size =\"36091904\"]\n  29 -> 40 [size =\"36091904\"]\n  30 [size=\"84739413\", alpha=\"0.14\", expect_size=\"25421824\"] \n  30 -> 40 [size =\"25421824\"]\n  30 -> 43 [size =\"25421824\"]\n  31 [size=\"31180800\", alpha=\"0.18\", expect_size=\"9354240\"] \n  31 -> 36 [size =\"9354240\"]\n  31 -> 42 [size =\"9354240\"]\n  31 -> 46 [size =\"9354240\"]\n  32 [size=\"152401920\", alpha=\"0.16\", expect_size=\"45720576\"] \n  32 -> 35 [size =\"45720576\"]\n  32 -> 37 [size =\"45720576\"]\n  32 -> 42 [size =\"45720576\"]\n  32 -> 46 [size =\"45720576\"]\n  33 [size=\"129293653\", alpha=\"0.16\", expect_size=\"38788096\"] \n  33 -> 47 [size =\"38788096\"]\n  34 [size=\"139670187\", alpha=\"0.01\", expect_size=\"41901056\"] \n  34 -> 47 [size =\"41901056\"]\n  35 [size=\"61815467\", alpha=\"0.17\", expect_size=\"18544640\"] \n  35 -> 47 [size =\"18544640\"]\n  35 -> 50 [size =\"18544640\"]\n  36 [size=\"17674240\", alpha=\"0.04\", expect_size=\"5302272\"] \n  36 -> 47 [size =\"5302272\"]\n  37 [size=\"156026880\", alpha=\"0.00\", expect_size=\"46808064\"] \n  38 [size=\"153275733\", alpha=\"0.18\", expect_size=\"45982720\"] \n  39 [size=\"127723520\", alpha=\"0.06\", expect_size=\"38317056\"] \n  39 -> 49 [size =\"38317056\"]\n  40 [size=\"87282347\", alpha=\"0.09\", expect_size=\"26184704\"] \n  40 -> 49 [size =\"26184704\"]\n  41 [size=\"36485120\", alpha=\"0.18\", expect_size=\"10945536\"] \n  42 [size=\"21585920\", alpha=\"0.04\", expect_size=\"6475776\"] \n  42 -> 47 [size =\"6475776\"]\n  42 -> 48 [size =\"6475776\"]\n  42 -> 50 [size =\"6475776\"]\n  43 [size=\"148261547\", alpha=\"0.18\", expect_size=\"44478464\"] \n  43 -> 49 [size =\"44478464\"]\n  44 [size=\"118176427\", alpha=\"0.02\", expect_size=\"35452928\"] \n  44 -> 47 [size =\"35452928\"]\n  44 -> 48 [size =\"35452928\"]\n  44 -> 50 [size =\"35452928\"]\n  45 [size=\"127034027\", alpha=\"0.11\", expect_size=\"38110208\"] \n  45 -> 49 [size =\"38110208\"]\n  45 -> 50 [size =\"38110208\"]\n  46 [size=\"101546667\", alpha=\"0.01\", expect_size=\"30464000\"] \n  46 -> 48 [size =\"30464000\"]\n  47 [size=\"131693227\", alpha=\"0.14\", expect_size=\"39507968\"] \n  48 [size=\"135420587\", alpha=\"0.03\", expect_size=\"40626176\"] \n  49 [size=\"119872853\", alpha=\"0.06\", expect_size=\"35961856\"] \n  50 [size=\"167307947\", alpha=\"0.17\", expect_size=\"50192384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.316.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118172160\", alpha=\"0.13\", expect_size=\"47268864\"] \n  1 -> 2 [size =\"47268864\"]\n  2 [size=\"100697600\", alpha=\"0.03\", expect_size=\"40279040\"] \n  2 -> 3 [size =\"40279040\"]\n  3 [size=\"67095040\", alpha=\"0.11\", expect_size=\"26838016\"] \n  3 -> 4 [size =\"26838016\"]\n  4 [size=\"36497920\", alpha=\"0.00\", expect_size=\"14599168\"] \n  4 -> 5 [size =\"14599168\"]\n  5 [size=\"29040640\", alpha=\"0.07\", expect_size=\"11616256\"] \n  5 -> 6 [size =\"11616256\"]\n  6 [size=\"128519680\", alpha=\"0.04\", expect_size=\"51407872\"] \n  6 -> 7 [size =\"51407872\"]\n  7 [size=\"62935040\", alpha=\"0.13\", expect_size=\"25174016\"] \n  7 -> 8 [size =\"25174016\"]\n  8 [size=\"127324160\", alpha=\"0.09\", expect_size=\"50929664\"] \n  8 -> 9 [size =\"50929664\"]\n  9 [size=\"126192640\", alpha=\"0.18\", expect_size=\"50477056\"] \n  9 -> 10 [size =\"50477056\"]\n  10 [size=\"31859200\", alpha=\"0.07\", expect_size=\"12743680\"] \n  10 -> 11 [size =\"12743680\"]\n  11 [size=\"105666560\", alpha=\"0.19\", expect_size=\"42266624\"] \n  11 -> 12 [size =\"42266624\"]\n  12 [size=\"63313920\", alpha=\"0.02\", expect_size=\"25325568\"] \n  12 -> 13 [size =\"25325568\"]\n  13 [size=\"83092480\", alpha=\"0.20\", expect_size=\"33236992\"] \n  13 -> 14 [size =\"33236992\"]\n  14 [size=\"28380160\", alpha=\"0.18\", expect_size=\"11352064\"] \n  14 -> 15 [size =\"11352064\"]\n  15 [size=\"30013440\", alpha=\"0.04\", expect_size=\"12005376\"] \n  15 -> 16 [size =\"12005376\"]\n  16 [size=\"70940160\", alpha=\"0.07\", expect_size=\"28376064\"] \n  16 -> 17 [size =\"28376064\"]\n  17 [size=\"95636480\", alpha=\"0.11\", expect_size=\"38254592\"] \n  17 -> 18 [size =\"38254592\"]\n  18 [size=\"53975040\", alpha=\"0.18\", expect_size=\"21590016\"] \n  18 -> 19 [size =\"21590016\"]\n  19 [size=\"108508160\", alpha=\"0.04\", expect_size=\"43403264\"] \n  19 -> 20 [size =\"43403264\"]\n  20 [size=\"99340800\", alpha=\"0.03\", expect_size=\"39736320\"] \n  20 -> 21 [size =\"39736320\"]\n  21 [size=\"23068160\", alpha=\"0.19\", expect_size=\"9227264\"] \n  21 -> 22 [size =\"9227264\"]\n  22 [size=\"14333440\", alpha=\"0.10\", expect_size=\"5733376\"] \n  22 -> 23 [size =\"5733376\"]\n  23 [size=\"27998720\", alpha=\"0.11\", expect_size=\"11199488\"] \n  23 -> 24 [size =\"11199488\"]\n  24 [size=\"27947520\", alpha=\"0.15\", expect_size=\"11179008\"] \n  24 -> 25 [size =\"11179008\"]\n  25 [size=\"18539520\", alpha=\"0.02\", expect_size=\"7415808\"] \n  25 -> 26 [size =\"7415808\"]\n  26 [size=\"39749120\", alpha=\"0.09\", expect_size=\"15899648\"] \n  26 -> 27 [size =\"15899648\"]\n  27 [size=\"83681280\", alpha=\"0.04\", expect_size=\"33472512\"] \n  27 -> 28 [size =\"33472512\"]\n  28 [size=\"31813120\", alpha=\"0.18\", expect_size=\"12725248\"] \n  28 -> 29 [size =\"12725248\"]\n  29 [size=\"19335680\", alpha=\"0.12\", expect_size=\"7734272\"] \n  29 -> 30 [size =\"7734272\"]\n  30 [size=\"43589120\", alpha=\"0.09\", expect_size=\"17435648\"] \n  30 -> 31 [size =\"17435648\"]\n  31 [size=\"59535360\", alpha=\"0.01\", expect_size=\"23814144\"] \n  31 -> 32 [size =\"23814144\"]\n  32 [size=\"54274560\", alpha=\"0.02\", expect_size=\"21709824\"] \n  32 -> 33 [size =\"21709824\"]\n  33 [size=\"115402240\", alpha=\"0.15\", expect_size=\"46160896\"] \n  33 -> 34 [size =\"46160896\"]\n  34 [size=\"60974080\", alpha=\"0.11\", expect_size=\"24389632\"] \n  34 -> 35 [size =\"24389632\"]\n  35 [size=\"32350720\", alpha=\"0.09\", expect_size=\"12940288\"] \n  35 -> 36 [size =\"12940288\"]\n  36 [size=\"45468160\", alpha=\"0.17\", expect_size=\"18187264\"] \n  36 -> 37 [size =\"18187264\"]\n  37 [size=\"97771520\", alpha=\"0.19\", expect_size=\"39108608\"] \n  37 -> 38 [size =\"39108608\"]\n  38 [size=\"121128960\", alpha=\"0.08\", expect_size=\"48451584\"] \n  38 -> 39 [size =\"48451584\"]\n  39 [size=\"111792640\", alpha=\"0.14\", expect_size=\"44717056\"] \n  39 -> 40 [size =\"44717056\"]\n  40 [size=\"64885760\", alpha=\"0.14\", expect_size=\"25954304\"] \n  40 -> 41 [size =\"25954304\"]\n  41 [size=\"117127680\", alpha=\"0.15\", expect_size=\"46851072\"] \n  41 -> 42 [size =\"46851072\"]\n  42 [size=\"125145600\", alpha=\"0.17\", expect_size=\"50058240\"] \n  42 -> 43 [size =\"50058240\"]\n  43 [size=\"21186560\", alpha=\"0.01\", expect_size=\"8474624\"] \n  43 -> 44 [size =\"8474624\"]\n  44 [size=\"111162880\", alpha=\"0.08\", expect_size=\"44465152\"] \n  44 -> 45 [size =\"44465152\"]\n  45 [size=\"56460800\", alpha=\"0.16\", expect_size=\"22584320\"] \n  45 -> 46 [size =\"22584320\"]\n  46 [size=\"109913600\", alpha=\"0.08\", expect_size=\"43965440\"] \n  46 -> 47 [size =\"43965440\"]\n  47 [size=\"93427200\", alpha=\"0.12\", expect_size=\"37370880\"] \n  47 -> 48 [size =\"37370880\"]\n  48 [size=\"89536000\", alpha=\"0.19\", expect_size=\"35814400\"] \n  48 -> 49 [size =\"35814400\"]\n  49 [size=\"21137920\", alpha=\"0.08\", expect_size=\"8455168\"] \n  49 -> 50 [size =\"8455168\"]\n  50 [size=\"101603840\", alpha=\"0.01\", expect_size=\"40641536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.317.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169523200\", alpha=\"0.19\", expect_size=\"50856960\"] \n  1 -> 32 [size =\"50856960\"]\n  1 -> 33 [size =\"50856960\"]\n  1 -> 36 [size =\"50856960\"]\n  1 -> 38 [size =\"50856960\"]\n  1 -> 40 [size =\"50856960\"]\n  1 -> 43 [size =\"50856960\"]\n  1 -> 44 [size =\"50856960\"]\n  1 -> 45 [size =\"50856960\"]\n  1 -> 47 [size =\"50856960\"]\n  1 -> 48 [size =\"50856960\"]\n  1 -> 49 [size =\"50856960\"]\n  1 -> 50 [size =\"50856960\"]\n  2 [size=\"171308373\", alpha=\"0.13\", expect_size=\"51392512\"] \n  2 -> 32 [size =\"51392512\"]\n  2 -> 36 [size =\"51392512\"]\n  2 -> 38 [size =\"51392512\"]\n  2 -> 45 [size =\"51392512\"]\n  2 -> 47 [size =\"51392512\"]\n  2 -> 49 [size =\"51392512\"]\n  2 -> 50 [size =\"51392512\"]\n  3 [size=\"48063147\", alpha=\"0.04\", expect_size=\"14418944\"] \n  3 -> 35 [size =\"14418944\"]\n  3 -> 36 [size =\"14418944\"]\n  3 -> 40 [size =\"14418944\"]\n  3 -> 41 [size =\"14418944\"]\n  3 -> 43 [size =\"14418944\"]\n  3 -> 44 [size =\"14418944\"]\n  3 -> 45 [size =\"14418944\"]\n  3 -> 47 [size =\"14418944\"]\n  4 [size=\"50776747\", alpha=\"0.09\", expect_size=\"15233024\"] \n  4 -> 39 [size =\"15233024\"]\n  4 -> 40 [size =\"15233024\"]\n  4 -> 45 [size =\"15233024\"]\n  4 -> 47 [size =\"15233024\"]\n  4 -> 49 [size =\"15233024\"]\n  5 [size=\"39430827\", alpha=\"0.00\", expect_size=\"11829248\"] \n  5 -> 31 [size =\"11829248\"]\n  5 -> 32 [size =\"11829248\"]\n  5 -> 34 [size =\"11829248\"]\n  5 -> 38 [size =\"11829248\"]\n  5 -> 44 [size =\"11829248\"]\n  5 -> 45 [size =\"11829248\"]\n  5 -> 50 [size =\"11829248\"]\n  6 [size=\"98249387\", alpha=\"0.02\", expect_size=\"29474816\"] \n  6 -> 31 [size =\"29474816\"]\n  6 -> 33 [size =\"29474816\"]\n  6 -> 34 [size =\"29474816\"]\n  6 -> 36 [size =\"29474816\"]\n  6 -> 38 [size =\"29474816\"]\n  6 -> 45 [size =\"29474816\"]\n  6 -> 46 [size =\"29474816\"]\n  6 -> 48 [size =\"29474816\"]\n  6 -> 50 [size =\"29474816\"]\n  7 [size=\"143687680\", alpha=\"0.15\", expect_size=\"43106304\"] \n  7 -> 31 [size =\"43106304\"]\n  7 -> 32 [size =\"43106304\"]\n  7 -> 33 [size =\"43106304\"]\n  7 -> 34 [size =\"43106304\"]\n  7 -> 40 [size =\"43106304\"]\n  7 -> 43 [size =\"43106304\"]\n  7 -> 44 [size =\"43106304\"]\n  7 -> 45 [size =\"43106304\"]\n  7 -> 47 [size =\"43106304\"]\n  7 -> 48 [size =\"43106304\"]\n  7 -> 49 [size =\"43106304\"]\n  7 -> 50 [size =\"43106304\"]\n  8 [size=\"77059413\", alpha=\"0.04\", expect_size=\"23117824\"] \n  8 -> 31 [size =\"23117824\"]\n  8 -> 32 [size =\"23117824\"]\n  8 -> 33 [size =\"23117824\"]\n  8 -> 38 [size =\"23117824\"]\n  8 -> 43 [size =\"23117824\"]\n  8 -> 43 [size =\"23117824\"]\n  8 -> 44 [size =\"23117824\"]\n  8 -> 45 [size =\"23117824\"]\n  8 -> 48 [size =\"23117824\"]\n  8 -> 48 [size =\"23117824\"]\n  8 -> 49 [size =\"23117824\"]\n  8 -> 50 [size =\"23117824\"]\n  9 [size=\"38830080\", alpha=\"0.09\", expect_size=\"11649024\"] \n  9 -> 31 [size =\"11649024\"]\n  9 -> 32 [size =\"11649024\"]\n  9 -> 33 [size =\"11649024\"]\n  9 -> 34 [size =\"11649024\"]\n  9 -> 36 [size =\"11649024\"]\n  9 -> 43 [size =\"11649024\"]\n  9 -> 45 [size =\"11649024\"]\n  9 -> 48 [size =\"11649024\"]\n  9 -> 48 [size =\"11649024\"]\n  9 -> 49 [size =\"11649024\"]\n  9 -> 50 [size =\"11649024\"]\n  9 -> 50 [size =\"11649024\"]\n  10 [size=\"47510187\", alpha=\"0.17\", expect_size=\"14253056\"] \n  10 -> 31 [size =\"14253056\"]\n  10 -> 36 [size =\"14253056\"]\n  10 -> 37 [size =\"14253056\"]\n  10 -> 43 [size =\"14253056\"]\n  10 -> 44 [size =\"14253056\"]\n  10 -> 45 [size =\"14253056\"]\n  10 -> 47 [size =\"14253056\"]\n  10 -> 48 [size =\"14253056\"]\n  10 -> 50 [size =\"14253056\"]\n  11 [size=\"68331520\", alpha=\"0.18\", expect_size=\"20499456\"] \n  11 -> 31 [size =\"20499456\"]\n  11 -> 33 [size =\"20499456\"]\n  11 -> 36 [size =\"20499456\"]\n  11 -> 37 [size =\"20499456\"]\n  11 -> 38 [size =\"20499456\"]\n  11 -> 43 [size =\"20499456\"]\n  11 -> 44 [size =\"20499456\"]\n  11 -> 45 [size =\"20499456\"]\n  11 -> 47 [size =\"20499456\"]\n  11 -> 48 [size =\"20499456\"]\n  11 -> 50 [size =\"20499456\"]\n  12 [size=\"63214933\", alpha=\"0.15\", expect_size=\"18964480\"] \n  12 -> 31 [size =\"18964480\"]\n  12 -> 32 [size =\"18964480\"]\n  12 -> 36 [size =\"18964480\"]\n  12 -> 38 [size =\"18964480\"]\n  12 -> 38 [size =\"18964480\"]\n  12 -> 43 [size =\"18964480\"]\n  12 -> 44 [size =\"18964480\"]\n  13 [size=\"166748160\", alpha=\"0.10\", expect_size=\"50024448\"] \n  13 -> 31 [size =\"50024448\"]\n  13 -> 32 [size =\"50024448\"]\n  13 -> 37 [size =\"50024448\"]\n  13 -> 38 [size =\"50024448\"]\n  13 -> 39 [size =\"50024448\"]\n  13 -> 40 [size =\"50024448\"]\n  13 -> 44 [size =\"50024448\"]\n  13 -> 49 [size =\"50024448\"]\n  14 [size=\"37249707\", alpha=\"0.06\", expect_size=\"11174912\"] \n  14 -> 31 [size =\"11174912\"]\n  14 -> 32 [size =\"11174912\"]\n  14 -> 36 [size =\"11174912\"]\n  14 -> 37 [size =\"11174912\"]\n  14 -> 39 [size =\"11174912\"]\n  14 -> 44 [size =\"11174912\"]\n  14 -> 48 [size =\"11174912\"]\n  14 -> 50 [size =\"11174912\"]\n  15 [size=\"106970453\", alpha=\"0.08\", expect_size=\"32091136\"] \n  15 -> 31 [size =\"32091136\"]\n  15 -> 32 [size =\"32091136\"]\n  15 -> 33 [size =\"32091136\"]\n  15 -> 34 [size =\"32091136\"]\n  15 -> 38 [size =\"32091136\"]\n  15 -> 42 [size =\"32091136\"]\n  15 -> 43 [size =\"32091136\"]\n  15 -> 49 [size =\"32091136\"]\n  15 -> 50 [size =\"32091136\"]\n  16 [size=\"109134507\", alpha=\"0.15\", expect_size=\"32740352\"] \n  16 -> 31 [size =\"32740352\"]\n  16 -> 32 [size =\"32740352\"]\n  16 -> 33 [size =\"32740352\"]\n  16 -> 36 [size =\"32740352\"]\n  16 -> 38 [size =\"32740352\"]\n  16 -> 39 [size =\"32740352\"]\n  16 -> 43 [size =\"32740352\"]\n  16 -> 47 [size =\"32740352\"]\n  16 -> 48 [size =\"32740352\"]\n  17 [size=\"126078293\", alpha=\"0.18\", expect_size=\"37823488\"] \n  17 -> 32 [size =\"37823488\"]\n  17 -> 33 [size =\"37823488\"]\n  17 -> 33 [size =\"37823488\"]\n  17 -> 35 [size =\"37823488\"]\n  17 -> 38 [size =\"37823488\"]\n  17 -> 43 [size =\"37823488\"]\n  17 -> 45 [size =\"37823488\"]\n  17 -> 47 [size =\"37823488\"]\n  17 -> 48 [size =\"37823488\"]\n  17 -> 49 [size =\"37823488\"]\n  18 [size=\"90112000\", alpha=\"0.08\", expect_size=\"27033600\"] \n  18 -> 31 [size =\"27033600\"]\n  18 -> 32 [size =\"27033600\"]\n  18 -> 33 [size =\"27033600\"]\n  18 -> 34 [size =\"27033600\"]\n  18 -> 36 [size =\"27033600\"]\n  18 -> 38 [size =\"27033600\"]\n  18 -> 40 [size =\"27033600\"]\n  18 -> 47 [size =\"27033600\"]\n  18 -> 48 [size =\"27033600\"]\n  19 [size=\"120036693\", alpha=\"0.03\", expect_size=\"36011008\"] \n  19 -> 31 [size =\"36011008\"]\n  19 -> 36 [size =\"36011008\"]\n  19 -> 37 [size =\"36011008\"]\n  19 -> 39 [size =\"36011008\"]\n  19 -> 47 [size =\"36011008\"]\n  20 [size=\"32819200\", alpha=\"0.18\", expect_size=\"9845760\"] \n  20 -> 31 [size =\"9845760\"]\n  20 -> 33 [size =\"9845760\"]\n  20 -> 36 [size =\"9845760\"]\n  20 -> 38 [size =\"9845760\"]\n  20 -> 39 [size =\"9845760\"]\n  20 -> 47 [size =\"9845760\"]\n  21 [size=\"168451413\", alpha=\"0.12\", expect_size=\"50535424\"] \n  21 -> 31 [size =\"50535424\"]\n  21 -> 34 [size =\"50535424\"]\n  21 -> 36 [size =\"50535424\"]\n  21 -> 38 [size =\"50535424\"]\n  21 -> 47 [size =\"50535424\"]\n  21 -> 47 [size =\"50535424\"]\n  21 -> 50 [size =\"50535424\"]\n  22 [size=\"154903893\", alpha=\"0.06\", expect_size=\"46471168\"] \n  22 -> 32 [size =\"46471168\"]\n  22 -> 36 [size =\"46471168\"]\n  22 -> 36 [size =\"46471168\"]\n  22 -> 38 [size =\"46471168\"]\n  22 -> 48 [size =\"46471168\"]\n  22 -> 49 [size =\"46471168\"]\n  22 -> 50 [size =\"46471168\"]\n  23 [size=\"114411520\", alpha=\"0.04\", expect_size=\"34323456\"] \n  23 -> 33 [size =\"34323456\"]\n  23 -> 34 [size =\"34323456\"]\n  23 -> 36 [size =\"34323456\"]\n  23 -> 37 [size =\"34323456\"]\n  23 -> 39 [size =\"34323456\"]\n  23 -> 40 [size =\"34323456\"]\n  23 -> 43 [size =\"34323456\"]\n  23 -> 47 [size =\"34323456\"]\n  23 -> 49 [size =\"34323456\"]\n  23 -> 50 [size =\"34323456\"]\n  24 [size=\"39051947\", alpha=\"0.05\", expect_size=\"11715584\"] \n  24 -> 31 [size =\"11715584\"]\n  24 -> 33 [size =\"11715584\"]\n  24 -> 36 [size =\"11715584\"]\n  24 -> 39 [size =\"11715584\"]\n  24 -> 40 [size =\"11715584\"]\n  24 -> 40 [size =\"11715584\"]\n  24 -> 47 [size =\"11715584\"]\n  24 -> 49 [size =\"11715584\"]\n  24 -> 50 [size =\"11715584\"]\n  25 [size=\"82609493\", alpha=\"0.10\", expect_size=\"24782848\"] \n  25 -> 31 [size =\"24782848\"]\n  25 -> 39 [size =\"24782848\"]\n  25 -> 40 [size =\"24782848\"]\n  25 -> 42 [size =\"24782848\"]\n  25 -> 43 [size =\"24782848\"]\n  25 -> 46 [size =\"24782848\"]\n  25 -> 47 [size =\"24782848\"]\n  25 -> 49 [size =\"24782848\"]\n  25 -> 50 [size =\"24782848\"]\n  26 [size=\"148189867\", alpha=\"0.05\", expect_size=\"44456960\"] \n  26 -> 31 [size =\"44456960\"]\n  26 -> 34 [size =\"44456960\"]\n  26 -> 35 [size =\"44456960\"]\n  26 -> 39 [size =\"44456960\"]\n  26 -> 45 [size =\"44456960\"]\n  26 -> 49 [size =\"44456960\"]\n  26 -> 50 [size =\"44456960\"]\n  27 [size=\"107608747\", alpha=\"0.16\", expect_size=\"32282624\"] \n  27 -> 32 [size =\"32282624\"]\n  27 -> 33 [size =\"32282624\"]\n  27 -> 34 [size =\"32282624\"]\n  27 -> 36 [size =\"32282624\"]\n  27 -> 38 [size =\"32282624\"]\n  27 -> 39 [size =\"32282624\"]\n  27 -> 40 [size =\"32282624\"]\n  27 -> 45 [size =\"32282624\"]\n  27 -> 47 [size =\"32282624\"]\n  27 -> 49 [size =\"32282624\"]\n  27 -> 50 [size =\"32282624\"]\n  28 [size=\"89047040\", alpha=\"0.14\", expect_size=\"26714112\"] \n  28 -> 31 [size =\"26714112\"]\n  28 -> 32 [size =\"26714112\"]\n  28 -> 33 [size =\"26714112\"]\n  28 -> 34 [size =\"26714112\"]\n  28 -> 37 [size =\"26714112\"]\n  28 -> 38 [size =\"26714112\"]\n  28 -> 39 [size =\"26714112\"]\n  28 -> 44 [size =\"26714112\"]\n  28 -> 47 [size =\"26714112\"]\n  28 -> 48 [size =\"26714112\"]\n  28 -> 49 [size =\"26714112\"]\n  28 -> 50 [size =\"26714112\"]\n  29 [size=\"150022827\", alpha=\"0.15\", expect_size=\"45006848\"] \n  29 -> 31 [size =\"45006848\"]\n  29 -> 32 [size =\"45006848\"]\n  29 -> 33 [size =\"45006848\"]\n  29 -> 36 [size =\"45006848\"]\n  29 -> 38 [size =\"45006848\"]\n  29 -> 39 [size =\"45006848\"]\n  29 -> 40 [size =\"45006848\"]\n  29 -> 43 [size =\"45006848\"]\n  29 -> 44 [size =\"45006848\"]\n  29 -> 46 [size =\"45006848\"]\n  29 -> 47 [size =\"45006848\"]\n  29 -> 48 [size =\"45006848\"]\n  29 -> 49 [size =\"45006848\"]\n  29 -> 50 [size =\"45006848\"]\n  30 [size=\"19674453\", alpha=\"0.00\", expect_size=\"5902336\"] \n  30 -> 32 [size =\"5902336\"]\n  30 -> 33 [size =\"5902336\"]\n  30 -> 34 [size =\"5902336\"]\n  30 -> 38 [size =\"5902336\"]\n  30 -> 44 [size =\"5902336\"]\n  30 -> 48 [size =\"5902336\"]\n  30 -> 49 [size =\"5902336\"]\n  31 [size=\"162805760\", alpha=\"0.12\", expect_size=\"48841728\"] \n  32 [size=\"102321493\", alpha=\"0.09\", expect_size=\"30696448\"] \n  33 [size=\"149346987\", alpha=\"0.05\", expect_size=\"44804096\"] \n  34 [size=\"19892907\", alpha=\"0.04\", expect_size=\"5967872\"] \n  35 [size=\"61842773\", alpha=\"0.14\", expect_size=\"18552832\"] \n  36 [size=\"139861333\", alpha=\"0.16\", expect_size=\"41958400\"] \n  37 [size=\"20148907\", alpha=\"0.12\", expect_size=\"6044672\"] \n  38 [size=\"143496533\", alpha=\"0.17\", expect_size=\"43048960\"] \n  39 [size=\"97628160\", alpha=\"0.15\", expect_size=\"29288448\"] \n  40 [size=\"61187413\", alpha=\"0.15\", expect_size=\"18356224\"] \n  41 [size=\"64211627\", alpha=\"0.14\", expect_size=\"19263488\"] \n  42 [size=\"157552640\", alpha=\"0.10\", expect_size=\"47265792\"] \n  43 [size=\"72376320\", alpha=\"0.19\", expect_size=\"21712896\"] \n  44 [size=\"115247787\", alpha=\"0.11\", expect_size=\"34574336\"] \n  45 [size=\"148650667\", alpha=\"0.11\", expect_size=\"44595200\"] \n  46 [size=\"104796160\", alpha=\"0.07\", expect_size=\"31438848\"] \n  47 [size=\"75342507\", alpha=\"0.15\", expect_size=\"22602752\"] \n  48 [size=\"168891733\", alpha=\"0.12\", expect_size=\"50667520\"] \n  49 [size=\"143510187\", alpha=\"0.06\", expect_size=\"43053056\"] \n  50 [size=\"101761707\", alpha=\"0.00\", expect_size=\"30528512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.318.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124700160\", alpha=\"0.11\", expect_size=\"49880064\"] \n  1 -> 8 [size =\"49880064\"]\n  1 -> 9 [size =\"49880064\"]\n  1 -> 11 [size =\"49880064\"]\n  2 [size=\"78730240\", alpha=\"0.12\", expect_size=\"31492096\"] \n  2 -> 9 [size =\"31492096\"]\n  2 -> 10 [size =\"31492096\"]\n  2 -> 11 [size =\"31492096\"]\n  2 -> 13 [size =\"31492096\"]\n  3 [size=\"78694400\", alpha=\"0.01\", expect_size=\"31477760\"] \n  4 [size=\"96529920\", alpha=\"0.19\", expect_size=\"38611968\"] \n  4 -> 12 [size =\"38611968\"]\n  5 [size=\"41751040\", alpha=\"0.02\", expect_size=\"16700416\"] \n  5 -> 9 [size =\"16700416\"]\n  5 -> 11 [size =\"16700416\"]\n  5 -> 12 [size =\"16700416\"]\n  5 -> 13 [size =\"16700416\"]\n  6 [size=\"67089920\", alpha=\"0.01\", expect_size=\"26835968\"] \n  6 -> 9 [size =\"26835968\"]\n  6 -> 10 [size =\"26835968\"]\n  6 -> 13 [size =\"26835968\"]\n  7 [size=\"91594240\", alpha=\"0.06\", expect_size=\"36637696\"] \n  7 -> 9 [size =\"36637696\"]\n  8 [size=\"126254080\", alpha=\"0.15\", expect_size=\"50501632\"] \n  8 -> 14 [size =\"50501632\"]\n  8 -> 17 [size =\"50501632\"]\n  8 -> 18 [size =\"50501632\"]\n  9 [size=\"16440320\", alpha=\"0.02\", expect_size=\"6576128\"] \n  9 -> 14 [size =\"6576128\"]\n  9 -> 16 [size =\"6576128\"]\n  9 -> 17 [size =\"6576128\"]\n  9 -> 18 [size =\"6576128\"]\n  10 [size=\"65551360\", alpha=\"0.07\", expect_size=\"26220544\"] \n  10 -> 14 [size =\"26220544\"]\n  11 [size=\"101125120\", alpha=\"0.11\", expect_size=\"40450048\"] \n  11 -> 15 [size =\"40450048\"]\n  11 -> 17 [size =\"40450048\"]\n  12 [size=\"45808640\", alpha=\"0.12\", expect_size=\"18323456\"] \n  12 -> 14 [size =\"18323456\"]\n  12 -> 16 [size =\"18323456\"]\n  12 -> 17 [size =\"18323456\"]\n  13 [size=\"118684160\", alpha=\"0.19\", expect_size=\"47473664\"] \n  13 -> 16 [size =\"47473664\"]\n  13 -> 18 [size =\"47473664\"]\n  14 [size=\"122987520\", alpha=\"0.18\", expect_size=\"49195008\"] \n  14 -> 19 [size =\"49195008\"]\n  14 -> 20 [size =\"49195008\"]\n  15 [size=\"116024320\", alpha=\"0.12\", expect_size=\"46409728\"] \n  15 -> 19 [size =\"46409728\"]\n  15 -> 20 [size =\"46409728\"]\n  16 [size=\"129512960\", alpha=\"0.15\", expect_size=\"51805184\"] \n  16 -> 19 [size =\"51805184\"]\n  16 -> 20 [size =\"51805184\"]\n  17 [size=\"17216000\", alpha=\"0.17\", expect_size=\"6886400\"] \n  17 -> 22 [size =\"6886400\"]\n  17 -> 23 [size =\"6886400\"]\n  18 [size=\"53895680\", alpha=\"0.13\", expect_size=\"21558272\"] \n  18 -> 20 [size =\"21558272\"]\n  18 -> 21 [size =\"21558272\"]\n  18 -> 23 [size =\"21558272\"]\n  19 [size=\"26654720\", alpha=\"0.12\", expect_size=\"10661888\"] \n  19 -> 24 [size =\"10661888\"]\n  20 [size=\"38963200\", alpha=\"0.02\", expect_size=\"15585280\"] \n  20 -> 25 [size =\"15585280\"]\n  20 -> 26 [size =\"15585280\"]\n  20 -> 28 [size =\"15585280\"]\n  21 [size=\"80550400\", alpha=\"0.11\", expect_size=\"32220160\"] \n  21 -> 27 [size =\"32220160\"]\n  21 -> 28 [size =\"32220160\"]\n  21 -> 29 [size =\"32220160\"]\n  22 [size=\"27253760\", alpha=\"0.11\", expect_size=\"10901504\"] \n  22 -> 28 [size =\"10901504\"]\n  23 [size=\"97469440\", alpha=\"0.02\", expect_size=\"38987776\"] \n  23 -> 28 [size =\"38987776\"]\n  24 [size=\"94241280\", alpha=\"0.08\", expect_size=\"37696512\"] \n  24 -> 30 [size =\"37696512\"]\n  24 -> 32 [size =\"37696512\"]\n  24 -> 34 [size =\"37696512\"]\n  24 -> 35 [size =\"37696512\"]\n  25 [size=\"82990080\", alpha=\"0.18\", expect_size=\"33196032\"] \n  25 -> 30 [size =\"33196032\"]\n  25 -> 34 [size =\"33196032\"]\n  26 [size=\"33715200\", alpha=\"0.17\", expect_size=\"13486080\"] \n  26 -> 30 [size =\"13486080\"]\n  26 -> 34 [size =\"13486080\"]\n  26 -> 35 [size =\"13486080\"]\n  27 [size=\"120053760\", alpha=\"0.10\", expect_size=\"48021504\"] \n  27 -> 32 [size =\"48021504\"]\n  27 -> 35 [size =\"48021504\"]\n  28 [size=\"103900160\", alpha=\"0.02\", expect_size=\"41560064\"] \n  28 -> 32 [size =\"41560064\"]\n  29 [size=\"59950080\", alpha=\"0.14\", expect_size=\"23980032\"] \n  29 -> 30 [size =\"23980032\"]\n  29 -> 31 [size =\"23980032\"]\n  29 -> 32 [size =\"23980032\"]\n  29 -> 33 [size =\"23980032\"]\n  29 -> 35 [size =\"23980032\"]\n  30 [size=\"128701440\", alpha=\"0.16\", expect_size=\"51480576\"] \n  30 -> 36 [size =\"51480576\"]\n  30 -> 40 [size =\"51480576\"]\n  30 -> 41 [size =\"51480576\"]\n  31 [size=\"21094400\", alpha=\"0.12\", expect_size=\"8437760\"] \n  31 -> 36 [size =\"8437760\"]\n  31 -> 37 [size =\"8437760\"]\n  31 -> 38 [size =\"8437760\"]\n  31 -> 39 [size =\"8437760\"]\n  31 -> 40 [size =\"8437760\"]\n  31 -> 42 [size =\"8437760\"]\n  32 [size=\"84654080\", alpha=\"0.14\", expect_size=\"33861632\"] \n  32 -> 39 [size =\"33861632\"]\n  32 -> 42 [size =\"33861632\"]\n  33 [size=\"31109120\", alpha=\"0.14\", expect_size=\"12443648\"] \n  33 -> 36 [size =\"12443648\"]\n  33 -> 38 [size =\"12443648\"]\n  33 -> 42 [size =\"12443648\"]\n  34 [size=\"44011520\", alpha=\"0.12\", expect_size=\"17604608\"] \n  34 -> 38 [size =\"17604608\"]\n  34 -> 39 [size =\"17604608\"]\n  34 -> 42 [size =\"17604608\"]\n  35 [size=\"88824320\", alpha=\"0.08\", expect_size=\"35529728\"] \n  35 -> 38 [size =\"35529728\"]\n  36 [size=\"76224000\", alpha=\"0.03\", expect_size=\"30489600\"] \n  36 -> 43 [size =\"30489600\"]\n  36 -> 44 [size =\"30489600\"]\n  37 [size=\"60200960\", alpha=\"0.20\", expect_size=\"24080384\"] \n  37 -> 43 [size =\"24080384\"]\n  37 -> 47 [size =\"24080384\"]\n  38 [size=\"119239680\", alpha=\"0.03\", expect_size=\"47695872\"] \n  38 -> 44 [size =\"47695872\"]\n  38 -> 46 [size =\"47695872\"]\n  39 [size=\"130560000\", alpha=\"0.08\", expect_size=\"52224000\"] \n  39 -> 44 [size =\"52224000\"]\n  40 [size=\"97495040\", alpha=\"0.18\", expect_size=\"38998016\"] \n  40 -> 43 [size =\"38998016\"]\n  40 -> 44 [size =\"38998016\"]\n  40 -> 47 [size =\"38998016\"]\n  41 [size=\"72491520\", alpha=\"0.19\", expect_size=\"28996608\"] \n  41 -> 43 [size =\"28996608\"]\n  41 -> 47 [size =\"28996608\"]\n  41 -> 47 [size =\"28996608\"]\n  42 [size=\"25597440\", alpha=\"0.03\", expect_size=\"10238976\"] \n  42 -> 43 [size =\"10238976\"]\n  42 -> 44 [size =\"10238976\"]\n  42 -> 45 [size =\"10238976\"]\n  42 -> 46 [size =\"10238976\"]\n  42 -> 47 [size =\"10238976\"]\n  43 [size=\"107481600\", alpha=\"0.01\", expect_size=\"42992640\"] \n  43 -> 48 [size =\"42992640\"]\n  43 -> 49 [size =\"42992640\"]\n  44 [size=\"69829120\", alpha=\"0.13\", expect_size=\"27931648\"] \n  44 -> 48 [size =\"27931648\"]\n  44 -> 49 [size =\"27931648\"]\n  45 [size=\"22520320\", alpha=\"0.16\", expect_size=\"9008128\"] \n  45 -> 48 [size =\"9008128\"]\n  45 -> 49 [size =\"9008128\"]\n  46 [size=\"68472320\", alpha=\"0.03\", expect_size=\"27388928\"] \n  46 -> 48 [size =\"27388928\"]\n  46 -> 50 [size =\"27388928\"]\n  47 [size=\"88163840\", alpha=\"0.09\", expect_size=\"35265536\"] \n  47 -> 49 [size =\"35265536\"]\n  48 [size=\"85706240\", alpha=\"0.09\", expect_size=\"34282496\"] \n  49 [size=\"101888000\", alpha=\"0.18\", expect_size=\"40755200\"] \n  50 [size=\"32289280\", alpha=\"0.06\", expect_size=\"12915712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.319.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74000384\", alpha=\"0.14\", expect_size=\"37000192\"] \n  1 -> 47 [size =\"37000192\"]\n  1 -> 49 [size =\"37000192\"]\n  1 -> 50 [size =\"37000192\"]\n  2 [size=\"44120064\", alpha=\"0.07\", expect_size=\"22060032\"] \n  2 -> 40 [size =\"22060032\"]\n  2 -> 41 [size =\"22060032\"]\n  2 -> 45 [size =\"22060032\"]\n  2 -> 47 [size =\"22060032\"]\n  2 -> 50 [size =\"22060032\"]\n  3 [size=\"96438272\", alpha=\"0.04\", expect_size=\"48219136\"] \n  3 -> 41 [size =\"48219136\"]\n  3 -> 41 [size =\"48219136\"]\n  3 -> 45 [size =\"48219136\"]\n  3 -> 47 [size =\"48219136\"]\n  3 -> 50 [size =\"48219136\"]\n  4 [size=\"90972160\", alpha=\"0.03\", expect_size=\"45486080\"] \n  4 -> 40 [size =\"45486080\"]\n  4 -> 41 [size =\"45486080\"]\n  4 -> 44 [size =\"45486080\"]\n  4 -> 46 [size =\"45486080\"]\n  4 -> 50 [size =\"45486080\"]\n  5 [size=\"19800064\", alpha=\"0.05\", expect_size=\"9900032\"] \n  5 -> 47 [size =\"9900032\"]\n  5 -> 50 [size =\"9900032\"]\n  6 [size=\"16375808\", alpha=\"0.05\", expect_size=\"8187904\"] \n  6 -> 43 [size =\"8187904\"]\n  6 -> 47 [size =\"8187904\"]\n  6 -> 50 [size =\"8187904\"]\n  7 [size=\"65478656\", alpha=\"0.12\", expect_size=\"32739328\"] \n  7 -> 47 [size =\"32739328\"]\n  7 -> 49 [size =\"32739328\"]\n  7 -> 50 [size =\"32739328\"]\n  8 [size=\"43810816\", alpha=\"0.02\", expect_size=\"21905408\"] \n  8 -> 43 [size =\"21905408\"]\n  8 -> 49 [size =\"21905408\"]\n  8 -> 50 [size =\"21905408\"]\n  9 [size=\"101421056\", alpha=\"0.16\", expect_size=\"50710528\"] \n  9 -> 41 [size =\"50710528\"]\n  9 -> 49 [size =\"50710528\"]\n  9 -> 50 [size =\"50710528\"]\n  10 [size=\"98621440\", alpha=\"0.13\", expect_size=\"49310720\"] \n  10 -> 40 [size =\"49310720\"]\n  10 -> 41 [size =\"49310720\"]\n  10 -> 50 [size =\"49310720\"]\n  11 [size=\"31000576\", alpha=\"0.20\", expect_size=\"15500288\"] \n  11 -> 45 [size =\"15500288\"]\n  11 -> 49 [size =\"15500288\"]\n  12 [size=\"97280000\", alpha=\"0.05\", expect_size=\"48640000\"] \n  12 -> 40 [size =\"48640000\"]\n  12 -> 41 [size =\"48640000\"]\n  13 [size=\"34707456\", alpha=\"0.17\", expect_size=\"17353728\"] \n  13 -> 40 [size =\"17353728\"]\n  13 -> 48 [size =\"17353728\"]\n  14 [size=\"54812672\", alpha=\"0.15\", expect_size=\"27406336\"] \n  14 -> 46 [size =\"27406336\"]\n  15 [size=\"68839424\", alpha=\"0.14\", expect_size=\"34419712\"] \n  15 -> 40 [size =\"34419712\"]\n  15 -> 47 [size =\"34419712\"]\n  15 -> 49 [size =\"34419712\"]\n  15 -> 50 [size =\"34419712\"]\n  16 [size=\"91320320\", alpha=\"0.16\", expect_size=\"45660160\"] \n  16 -> 41 [size =\"45660160\"]\n  16 -> 45 [size =\"45660160\"]\n  16 -> 46 [size =\"45660160\"]\n  16 -> 49 [size =\"45660160\"]\n  17 [size=\"20801536\", alpha=\"0.13\", expect_size=\"10400768\"] \n  17 -> 43 [size =\"10400768\"]\n  17 -> 46 [size =\"10400768\"]\n  17 -> 46 [size =\"10400768\"]\n  18 [size=\"75505664\", alpha=\"0.01\", expect_size=\"37752832\"] \n  18 -> 46 [size =\"37752832\"]\n  18 -> 49 [size =\"37752832\"]\n  18 -> 50 [size =\"37752832\"]\n  19 [size=\"85299200\", alpha=\"0.12\", expect_size=\"42649600\"] \n  19 -> 46 [size =\"42649600\"]\n  19 -> 49 [size =\"42649600\"]\n  20 [size=\"67430400\", alpha=\"0.06\", expect_size=\"33715200\"] \n  20 -> 47 [size =\"33715200\"]\n  20 -> 49 [size =\"33715200\"]\n  20 -> 50 [size =\"33715200\"]\n  21 [size=\"35276800\", alpha=\"0.13\", expect_size=\"17638400\"] \n  21 -> 40 [size =\"17638400\"]\n  21 -> 46 [size =\"17638400\"]\n  21 -> 50 [size =\"17638400\"]\n  22 [size=\"34228224\", alpha=\"0.07\", expect_size=\"17114112\"] \n  22 -> 44 [size =\"17114112\"]\n  22 -> 46 [size =\"17114112\"]\n  22 -> 49 [size =\"17114112\"]\n  22 -> 50 [size =\"17114112\"]\n  23 [size=\"58626048\", alpha=\"0.19\", expect_size=\"29313024\"] \n  23 -> 40 [size =\"29313024\"]\n  23 -> 42 [size =\"29313024\"]\n  23 -> 44 [size =\"29313024\"]\n  23 -> 46 [size =\"29313024\"]\n  23 -> 50 [size =\"29313024\"]\n  24 [size=\"46493696\", alpha=\"0.09\", expect_size=\"23246848\"] \n  24 -> 40 [size =\"23246848\"]\n  24 -> 45 [size =\"23246848\"]\n  24 -> 46 [size =\"23246848\"]\n  24 -> 47 [size =\"23246848\"]\n  24 -> 49 [size =\"23246848\"]\n  25 [size=\"20776960\", alpha=\"0.01\", expect_size=\"10388480\"] \n  25 -> 41 [size =\"10388480\"]\n  25 -> 45 [size =\"10388480\"]\n  25 -> 46 [size =\"10388480\"]\n  25 -> 47 [size =\"10388480\"]\n  26 [size=\"86771712\", alpha=\"0.13\", expect_size=\"43385856\"] \n  26 -> 41 [size =\"43385856\"]\n  26 -> 42 [size =\"43385856\"]\n  26 -> 47 [size =\"43385856\"]\n  26 -> 50 [size =\"43385856\"]\n  27 [size=\"66852864\", alpha=\"0.18\", expect_size=\"33426432\"] \n  27 -> 42 [size =\"33426432\"]\n  27 -> 44 [size =\"33426432\"]\n  27 -> 46 [size =\"33426432\"]\n  27 -> 47 [size =\"33426432\"]\n  27 -> 49 [size =\"33426432\"]\n  27 -> 50 [size =\"33426432\"]\n  28 [size=\"32460800\", alpha=\"0.09\", expect_size=\"16230400\"] \n  28 -> 42 [size =\"16230400\"]\n  28 -> 44 [size =\"16230400\"]\n  28 -> 45 [size =\"16230400\"]\n  28 -> 48 [size =\"16230400\"]\n  28 -> 49 [size =\"16230400\"]\n  29 [size=\"36886528\", alpha=\"0.20\", expect_size=\"18443264\"] \n  29 -> 43 [size =\"18443264\"]\n  29 -> 44 [size =\"18443264\"]\n  29 -> 47 [size =\"18443264\"]\n  30 [size=\"93208576\", alpha=\"0.09\", expect_size=\"46604288\"] \n  30 -> 41 [size =\"46604288\"]\n  30 -> 43 [size =\"46604288\"]\n  30 -> 44 [size =\"46604288\"]\n  30 -> 46 [size =\"46604288\"]\n  30 -> 50 [size =\"46604288\"]\n  31 [size=\"25305088\", alpha=\"0.03\", expect_size=\"12652544\"] \n  31 -> 40 [size =\"12652544\"]\n  31 -> 44 [size =\"12652544\"]\n  31 -> 44 [size =\"12652544\"]\n  31 -> 47 [size =\"12652544\"]\n  31 -> 49 [size =\"12652544\"]\n  31 -> 50 [size =\"12652544\"]\n  32 [size=\"85434368\", alpha=\"0.15\", expect_size=\"42717184\"] \n  32 -> 44 [size =\"42717184\"]\n  32 -> 46 [size =\"42717184\"]\n  33 [size=\"24119296\", alpha=\"0.13\", expect_size=\"12059648\"] \n  33 -> 47 [size =\"12059648\"]\n  33 -> 49 [size =\"12059648\"]\n  34 [size=\"21684224\", alpha=\"0.19\", expect_size=\"10842112\"] \n  34 -> 41 [size =\"10842112\"]\n  34 -> 46 [size =\"10842112\"]\n  34 -> 47 [size =\"10842112\"]\n  34 -> 50 [size =\"10842112\"]\n  35 [size=\"64243712\", alpha=\"0.18\", expect_size=\"32121856\"] \n  35 -> 41 [size =\"32121856\"]\n  35 -> 46 [size =\"32121856\"]\n  35 -> 47 [size =\"32121856\"]\n  35 -> 49 [size =\"32121856\"]\n  35 -> 50 [size =\"32121856\"]\n  36 [size=\"66744320\", alpha=\"0.15\", expect_size=\"33372160\"] \n  36 -> 49 [size =\"33372160\"]\n  37 [size=\"35072000\", alpha=\"0.13\", expect_size=\"17536000\"] \n  37 -> 41 [size =\"17536000\"]\n  37 -> 43 [size =\"17536000\"]\n  37 -> 46 [size =\"17536000\"]\n  37 -> 50 [size =\"17536000\"]\n  38 [size=\"24223744\", alpha=\"0.05\", expect_size=\"12111872\"] \n  38 -> 40 [size =\"12111872\"]\n  38 -> 41 [size =\"12111872\"]\n  38 -> 46 [size =\"12111872\"]\n  38 -> 49 [size =\"12111872\"]\n  38 -> 50 [size =\"12111872\"]\n  39 [size=\"67526656\", alpha=\"0.13\", expect_size=\"33763328\"] \n  39 -> 49 [size =\"33763328\"]\n  39 -> 50 [size =\"33763328\"]\n  40 [size=\"67170304\", alpha=\"0.13\", expect_size=\"33585152\"] \n  41 [size=\"16920576\", alpha=\"0.19\", expect_size=\"8460288\"] \n  42 [size=\"31666176\", alpha=\"0.09\", expect_size=\"15833088\"] \n  43 [size=\"103831552\", alpha=\"0.09\", expect_size=\"51915776\"] \n  44 [size=\"68894720\", alpha=\"0.18\", expect_size=\"34447360\"] \n  45 [size=\"65552384\", alpha=\"0.08\", expect_size=\"32776192\"] \n  46 [size=\"57790464\", alpha=\"0.15\", expect_size=\"28895232\"] \n  47 [size=\"32071680\", alpha=\"0.13\", expect_size=\"16035840\"] \n  48 [size=\"93083648\", alpha=\"0.16\", expect_size=\"46541824\"] \n  49 [size=\"22732800\", alpha=\"0.05\", expect_size=\"11366400\"] \n  50 [size=\"84576256\", alpha=\"0.11\", expect_size=\"42288128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17379840\", alpha=\"0.05\", expect_size=\"6951936\"] \n  1 -> 10 [size =\"6951936\"]\n  2 [size=\"85870080\", alpha=\"0.03\", expect_size=\"34348032\"] \n  2 -> 9 [size =\"34348032\"]\n  2 -> 10 [size =\"34348032\"]\n  2 -> 11 [size =\"34348032\"]\n  2 -> 14 [size =\"34348032\"]\n  2 -> 15 [size =\"34348032\"]\n  3 [size=\"67256320\", alpha=\"0.12\", expect_size=\"26902528\"] \n  3 -> 11 [size =\"26902528\"]\n  3 -> 12 [size =\"26902528\"]\n  3 -> 15 [size =\"26902528\"]\n  4 [size=\"77749760\", alpha=\"0.11\", expect_size=\"31099904\"] \n  4 -> 12 [size =\"31099904\"]\n  4 -> 14 [size =\"31099904\"]\n  4 -> 15 [size =\"31099904\"]\n  5 [size=\"34201600\", alpha=\"0.12\", expect_size=\"13680640\"] \n  5 -> 9 [size =\"13680640\"]\n  5 -> 10 [size =\"13680640\"]\n  5 -> 13 [size =\"13680640\"]\n  5 -> 14 [size =\"13680640\"]\n  6 [size=\"67952640\", alpha=\"0.11\", expect_size=\"27181056\"] \n  6 -> 9 [size =\"27181056\"]\n  6 -> 11 [size =\"27181056\"]\n  6 -> 14 [size =\"27181056\"]\n  6 -> 15 [size =\"27181056\"]\n  7 [size=\"130790400\", alpha=\"0.04\", expect_size=\"52316160\"] \n  7 -> 9 [size =\"52316160\"]\n  7 -> 12 [size =\"52316160\"]\n  7 -> 15 [size =\"52316160\"]\n  8 [size=\"96706560\", alpha=\"0.01\", expect_size=\"38682624\"] \n  8 -> 9 [size =\"38682624\"]\n  8 -> 12 [size =\"38682624\"]\n  8 -> 14 [size =\"38682624\"]\n  9 [size=\"51230720\", alpha=\"0.10\", expect_size=\"20492288\"] \n  9 -> 17 [size =\"20492288\"]\n  9 -> 21 [size =\"20492288\"]\n  10 [size=\"98613760\", alpha=\"0.05\", expect_size=\"39445504\"] \n  10 -> 16 [size =\"39445504\"]\n  10 -> 17 [size =\"39445504\"]\n  10 -> 18 [size =\"39445504\"]\n  10 -> 20 [size =\"39445504\"]\n  11 [size=\"100986880\", alpha=\"0.07\", expect_size=\"40394752\"] \n  11 -> 16 [size =\"40394752\"]\n  11 -> 18 [size =\"40394752\"]\n  11 -> 19 [size =\"40394752\"]\n  11 -> 21 [size =\"40394752\"]\n  12 [size=\"128445440\", alpha=\"0.07\", expect_size=\"51378176\"] \n  12 -> 16 [size =\"51378176\"]\n  12 -> 21 [size =\"51378176\"]\n  12 -> 22 [size =\"51378176\"]\n  13 [size=\"30556160\", alpha=\"0.04\", expect_size=\"12222464\"] \n  13 -> 16 [size =\"12222464\"]\n  13 -> 21 [size =\"12222464\"]\n  13 -> 22 [size =\"12222464\"]\n  13 -> 23 [size =\"12222464\"]\n  14 [size=\"98895360\", alpha=\"0.08\", expect_size=\"39558144\"] \n  14 -> 16 [size =\"39558144\"]\n  15 [size=\"43141120\", alpha=\"0.01\", expect_size=\"17256448\"] \n  15 -> 19 [size =\"17256448\"]\n  15 -> 21 [size =\"17256448\"]\n  16 [size=\"115896320\", alpha=\"0.19\", expect_size=\"46358528\"] \n  16 -> 26 [size =\"46358528\"]\n  16 -> 27 [size =\"46358528\"]\n  16 -> 28 [size =\"46358528\"]\n  16 -> 29 [size =\"46358528\"]\n  17 [size=\"61381120\", alpha=\"0.04\", expect_size=\"24552448\"] \n  17 -> 24 [size =\"24552448\"]\n  18 [size=\"82242560\", alpha=\"0.02\", expect_size=\"32897024\"] \n  18 -> 26 [size =\"32897024\"]\n  19 [size=\"85347840\", alpha=\"0.19\", expect_size=\"34139136\"] \n  19 -> 26 [size =\"34139136\"]\n  19 -> 28 [size =\"34139136\"]\n  20 [size=\"28364800\", alpha=\"0.17\", expect_size=\"11345920\"] \n  20 -> 28 [size =\"11345920\"]\n  20 -> 28 [size =\"11345920\"]\n  21 [size=\"59056640\", alpha=\"0.14\", expect_size=\"23622656\"] \n  21 -> 26 [size =\"23622656\"]\n  21 -> 28 [size =\"23622656\"]\n  22 [size=\"100661760\", alpha=\"0.05\", expect_size=\"40264704\"] \n  22 -> 25 [size =\"40264704\"]\n  22 -> 26 [size =\"40264704\"]\n  23 [size=\"24448000\", alpha=\"0.04\", expect_size=\"9779200\"] \n  23 -> 24 [size =\"9779200\"]\n  23 -> 28 [size =\"9779200\"]\n  23 -> 29 [size =\"9779200\"]\n  24 [size=\"47764480\", alpha=\"0.14\", expect_size=\"19105792\"] \n  24 -> 30 [size =\"19105792\"]\n  24 -> 31 [size =\"19105792\"]\n  24 -> 32 [size =\"19105792\"]\n  24 -> 33 [size =\"19105792\"]\n  25 [size=\"93588480\", alpha=\"0.08\", expect_size=\"37435392\"] \n  25 -> 30 [size =\"37435392\"]\n  25 -> 32 [size =\"37435392\"]\n  25 -> 32 [size =\"37435392\"]\n  25 -> 33 [size =\"37435392\"]\n  25 -> 35 [size =\"37435392\"]\n  26 [size=\"97920000\", alpha=\"0.12\", expect_size=\"39168000\"] \n  26 -> 30 [size =\"39168000\"]\n  26 -> 31 [size =\"39168000\"]\n  27 [size=\"91023360\", alpha=\"0.15\", expect_size=\"36409344\"] \n  27 -> 30 [size =\"36409344\"]\n  27 -> 31 [size =\"36409344\"]\n  27 -> 32 [size =\"36409344\"]\n  27 -> 34 [size =\"36409344\"]\n  27 -> 35 [size =\"36409344\"]\n  28 [size=\"115688960\", alpha=\"0.12\", expect_size=\"46275584\"] \n  28 -> 31 [size =\"46275584\"]\n  28 -> 34 [size =\"46275584\"]\n  29 [size=\"129369600\", alpha=\"0.16\", expect_size=\"51747840\"] \n  29 -> 33 [size =\"51747840\"]\n  30 [size=\"125662720\", alpha=\"0.14\", expect_size=\"50265088\"] \n  30 -> 36 [size =\"50265088\"]\n  31 [size=\"105246720\", alpha=\"0.08\", expect_size=\"42098688\"] \n  31 -> 36 [size =\"42098688\"]\n  31 -> 37 [size =\"42098688\"]\n  31 -> 38 [size =\"42098688\"]\n  32 [size=\"72394240\", alpha=\"0.00\", expect_size=\"28957696\"] \n  32 -> 37 [size =\"28957696\"]\n  33 [size=\"99870720\", alpha=\"0.16\", expect_size=\"39948288\"] \n  33 -> 36 [size =\"39948288\"]\n  33 -> 37 [size =\"39948288\"]\n  34 [size=\"123860480\", alpha=\"0.06\", expect_size=\"49544192\"] \n  34 -> 37 [size =\"49544192\"]\n  34 -> 38 [size =\"49544192\"]\n  34 -> 39 [size =\"49544192\"]\n  35 [size=\"91043840\", alpha=\"0.02\", expect_size=\"36417536\"] \n  36 [size=\"22512640\", alpha=\"0.15\", expect_size=\"9005056\"] \n  36 -> 40 [size =\"9005056\"]\n  36 -> 44 [size =\"9005056\"]\n  36 -> 46 [size =\"9005056\"]\n  36 -> 47 [size =\"9005056\"]\n  37 [size=\"91082240\", alpha=\"0.16\", expect_size=\"36432896\"] \n  37 -> 41 [size =\"36432896\"]\n  37 -> 42 [size =\"36432896\"]\n  37 -> 44 [size =\"36432896\"]\n  37 -> 45 [size =\"36432896\"]\n  37 -> 46 [size =\"36432896\"]\n  37 -> 47 [size =\"36432896\"]\n  38 [size=\"60541440\", alpha=\"0.08\", expect_size=\"24216576\"] \n  38 -> 41 [size =\"24216576\"]\n  38 -> 42 [size =\"24216576\"]\n  38 -> 43 [size =\"24216576\"]\n  39 [size=\"14492160\", alpha=\"0.13\", expect_size=\"5796864\"] \n  39 -> 41 [size =\"5796864\"]\n  39 -> 42 [size =\"5796864\"]\n  39 -> 43 [size =\"5796864\"]\n  39 -> 44 [size =\"5796864\"]\n  39 -> 45 [size =\"5796864\"]\n  39 -> 46 [size =\"5796864\"]\n  40 [size=\"109025280\", alpha=\"0.01\", expect_size=\"43610112\"] \n  40 -> 49 [size =\"43610112\"]\n  40 -> 50 [size =\"43610112\"]\n  41 [size=\"75752960\", alpha=\"0.16\", expect_size=\"30301184\"] \n  42 [size=\"120522240\", alpha=\"0.06\", expect_size=\"48208896\"] \n  43 [size=\"122741760\", alpha=\"0.18\", expect_size=\"49096704\"] \n  43 -> 49 [size =\"49096704\"]\n  44 [size=\"99863040\", alpha=\"0.16\", expect_size=\"39945216\"] \n  44 -> 48 [size =\"39945216\"]\n  44 -> 50 [size =\"39945216\"]\n  45 [size=\"19709440\", alpha=\"0.08\", expect_size=\"7883776\"] \n  45 -> 49 [size =\"7883776\"]\n  45 -> 50 [size =\"7883776\"]\n  46 [size=\"30282240\", alpha=\"0.14\", expect_size=\"12112896\"] \n  47 [size=\"116403200\", alpha=\"0.13\", expect_size=\"46561280\"] \n  47 -> 48 [size =\"46561280\"]\n  47 -> 49 [size =\"46561280\"]\n  48 [size=\"90424320\", alpha=\"0.10\", expect_size=\"36169728\"] \n  49 [size=\"21475840\", alpha=\"0.06\", expect_size=\"8590336\"] \n  50 [size=\"99768320\", alpha=\"0.02\", expect_size=\"39907328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.320.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48783360\", alpha=\"0.07\", expect_size=\"24391680\"] \n  1 -> 2 [size =\"24391680\"]\n  2 [size=\"95737856\", alpha=\"0.05\", expect_size=\"47868928\"] \n  2 -> 3 [size =\"47868928\"]\n  3 [size=\"55801856\", alpha=\"0.14\", expect_size=\"27900928\"] \n  3 -> 4 [size =\"27900928\"]\n  4 [size=\"104200192\", alpha=\"0.03\", expect_size=\"52100096\"] \n  4 -> 5 [size =\"52100096\"]\n  5 [size=\"64702464\", alpha=\"0.18\", expect_size=\"32351232\"] \n  5 -> 6 [size =\"32351232\"]\n  6 [size=\"22730752\", alpha=\"0.18\", expect_size=\"11365376\"] \n  6 -> 7 [size =\"11365376\"]\n  7 [size=\"74813440\", alpha=\"0.20\", expect_size=\"37406720\"] \n  7 -> 8 [size =\"37406720\"]\n  8 [size=\"12554240\", alpha=\"0.15\", expect_size=\"6277120\"] \n  8 -> 9 [size =\"6277120\"]\n  9 [size=\"60354560\", alpha=\"0.01\", expect_size=\"30177280\"] \n  9 -> 10 [size =\"30177280\"]\n  10 [size=\"51580928\", alpha=\"0.00\", expect_size=\"25790464\"] \n  10 -> 11 [size =\"25790464\"]\n  11 [size=\"41658368\", alpha=\"0.04\", expect_size=\"20829184\"] \n  11 -> 12 [size =\"20829184\"]\n  12 [size=\"76058624\", alpha=\"0.00\", expect_size=\"38029312\"] \n  12 -> 13 [size =\"38029312\"]\n  13 [size=\"99942400\", alpha=\"0.05\", expect_size=\"49971200\"] \n  13 -> 14 [size =\"49971200\"]\n  14 [size=\"73154560\", alpha=\"0.01\", expect_size=\"36577280\"] \n  14 -> 15 [size =\"36577280\"]\n  15 [size=\"88160256\", alpha=\"0.11\", expect_size=\"44080128\"] \n  15 -> 16 [size =\"44080128\"]\n  16 [size=\"77410304\", alpha=\"0.06\", expect_size=\"38705152\"] \n  16 -> 17 [size =\"38705152\"]\n  17 [size=\"69707776\", alpha=\"0.16\", expect_size=\"34853888\"] \n  17 -> 18 [size =\"34853888\"]\n  18 [size=\"67903488\", alpha=\"0.15\", expect_size=\"33951744\"] \n  18 -> 19 [size =\"33951744\"]\n  19 [size=\"42442752\", alpha=\"0.18\", expect_size=\"21221376\"] \n  19 -> 20 [size =\"21221376\"]\n  20 [size=\"49371136\", alpha=\"0.17\", expect_size=\"24685568\"] \n  20 -> 21 [size =\"24685568\"]\n  21 [size=\"51419136\", alpha=\"0.05\", expect_size=\"25709568\"] \n  21 -> 22 [size =\"25709568\"]\n  22 [size=\"71620608\", alpha=\"0.10\", expect_size=\"35810304\"] \n  22 -> 23 [size =\"35810304\"]\n  23 [size=\"73631744\", alpha=\"0.05\", expect_size=\"36815872\"] \n  23 -> 24 [size =\"36815872\"]\n  24 [size=\"95760384\", alpha=\"0.00\", expect_size=\"47880192\"] \n  24 -> 25 [size =\"47880192\"]\n  25 [size=\"99143680\", alpha=\"0.07\", expect_size=\"49571840\"] \n  25 -> 26 [size =\"49571840\"]\n  26 [size=\"55670784\", alpha=\"0.16\", expect_size=\"27835392\"] \n  26 -> 27 [size =\"27835392\"]\n  27 [size=\"85899264\", alpha=\"0.19\", expect_size=\"42949632\"] \n  27 -> 28 [size =\"42949632\"]\n  28 [size=\"68110336\", alpha=\"0.02\", expect_size=\"34055168\"] \n  28 -> 29 [size =\"34055168\"]\n  29 [size=\"44656640\", alpha=\"0.16\", expect_size=\"22328320\"] \n  29 -> 30 [size =\"22328320\"]\n  30 [size=\"35231744\", alpha=\"0.18\", expect_size=\"17615872\"] \n  30 -> 31 [size =\"17615872\"]\n  31 [size=\"22747136\", alpha=\"0.07\", expect_size=\"11373568\"] \n  31 -> 32 [size =\"11373568\"]\n  32 [size=\"45506560\", alpha=\"0.10\", expect_size=\"22753280\"] \n  32 -> 33 [size =\"22753280\"]\n  33 [size=\"94386176\", alpha=\"0.12\", expect_size=\"47193088\"] \n  33 -> 34 [size =\"47193088\"]\n  34 [size=\"25960448\", alpha=\"0.07\", expect_size=\"12980224\"] \n  34 -> 35 [size =\"12980224\"]\n  35 [size=\"28315648\", alpha=\"0.19\", expect_size=\"14157824\"] \n  35 -> 36 [size =\"14157824\"]\n  36 [size=\"61298688\", alpha=\"0.05\", expect_size=\"30649344\"] \n  36 -> 37 [size =\"30649344\"]\n  37 [size=\"42782720\", alpha=\"0.03\", expect_size=\"21391360\"] \n  37 -> 38 [size =\"21391360\"]\n  38 [size=\"37097472\", alpha=\"0.14\", expect_size=\"18548736\"] \n  38 -> 39 [size =\"18548736\"]\n  39 [size=\"46313472\", alpha=\"0.11\", expect_size=\"23156736\"] \n  39 -> 40 [size =\"23156736\"]\n  40 [size=\"25923584\", alpha=\"0.16\", expect_size=\"12961792\"] \n  40 -> 41 [size =\"12961792\"]\n  41 [size=\"17027072\", alpha=\"0.11\", expect_size=\"8513536\"] \n  41 -> 42 [size =\"8513536\"]\n  42 [size=\"50796544\", alpha=\"0.18\", expect_size=\"25398272\"] \n  42 -> 43 [size =\"25398272\"]\n  43 [size=\"98435072\", alpha=\"0.18\", expect_size=\"49217536\"] \n  43 -> 44 [size =\"49217536\"]\n  44 [size=\"60653568\", alpha=\"0.17\", expect_size=\"30326784\"] \n  44 -> 45 [size =\"30326784\"]\n  45 [size=\"94494720\", alpha=\"0.14\", expect_size=\"47247360\"] \n  45 -> 46 [size =\"47247360\"]\n  46 [size=\"88889344\", alpha=\"0.02\", expect_size=\"44444672\"] \n  46 -> 47 [size =\"44444672\"]\n  47 [size=\"16392192\", alpha=\"0.04\", expect_size=\"8196096\"] \n  47 -> 48 [size =\"8196096\"]\n  48 [size=\"30597120\", alpha=\"0.20\", expect_size=\"15298560\"] \n  48 -> 49 [size =\"15298560\"]\n  49 [size=\"94552064\", alpha=\"0.02\", expect_size=\"47276032\"] \n  49 -> 50 [size =\"47276032\"]\n  50 [size=\"51472384\", alpha=\"0.10\", expect_size=\"25736192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.321.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48160768\", alpha=\"0.11\", expect_size=\"24080384\"] \n  2 [size=\"47327232\", alpha=\"0.17\", expect_size=\"23663616\"] \n  2 -> 4 [size =\"23663616\"]\n  2 -> 5 [size =\"23663616\"]\n  2 -> 6 [size =\"23663616\"]\n  3 [size=\"59652096\", alpha=\"0.07\", expect_size=\"29826048\"] \n  3 -> 4 [size =\"29826048\"]\n  3 -> 6 [size =\"29826048\"]\n  3 -> 6 [size =\"29826048\"]\n  4 [size=\"27623424\", alpha=\"0.13\", expect_size=\"13811712\"] \n  4 -> 7 [size =\"13811712\"]\n  4 -> 9 [size =\"13811712\"]\n  5 [size=\"101537792\", alpha=\"0.11\", expect_size=\"50768896\"] \n  5 -> 7 [size =\"50768896\"]\n  5 -> 8 [size =\"50768896\"]\n  6 [size=\"64884736\", alpha=\"0.16\", expect_size=\"32442368\"] \n  6 -> 7 [size =\"32442368\"]\n  7 [size=\"38072320\", alpha=\"0.09\", expect_size=\"19036160\"] \n  7 -> 10 [size =\"19036160\"]\n  7 -> 11 [size =\"19036160\"]\n  7 -> 12 [size =\"19036160\"]\n  8 [size=\"80967680\", alpha=\"0.09\", expect_size=\"40483840\"] \n  8 -> 10 [size =\"40483840\"]\n  9 [size=\"30488576\", alpha=\"0.20\", expect_size=\"15244288\"] \n  9 -> 10 [size =\"15244288\"]\n  9 -> 12 [size =\"15244288\"]\n  10 [size=\"60248064\", alpha=\"0.02\", expect_size=\"30124032\"] \n  10 -> 13 [size =\"30124032\"]\n  10 -> 14 [size =\"30124032\"]\n  10 -> 15 [size =\"30124032\"]\n  11 [size=\"47882240\", alpha=\"0.10\", expect_size=\"23941120\"] \n  11 -> 13 [size =\"23941120\"]\n  11 -> 14 [size =\"23941120\"]\n  11 -> 15 [size =\"23941120\"]\n  12 [size=\"101834752\", alpha=\"0.17\", expect_size=\"50917376\"] \n  12 -> 13 [size =\"50917376\"]\n  12 -> 14 [size =\"50917376\"]\n  12 -> 15 [size =\"50917376\"]\n  13 [size=\"86720512\", alpha=\"0.13\", expect_size=\"43360256\"] \n  13 -> 16 [size =\"43360256\"]\n  13 -> 17 [size =\"43360256\"]\n  14 [size=\"24832000\", alpha=\"0.17\", expect_size=\"12416000\"] \n  14 -> 16 [size =\"12416000\"]\n  14 -> 17 [size =\"12416000\"]\n  15 [size=\"87349248\", alpha=\"0.19\", expect_size=\"43674624\"] \n  15 -> 16 [size =\"43674624\"]\n  15 -> 17 [size =\"43674624\"]\n  16 [size=\"44754944\", alpha=\"0.01\", expect_size=\"22377472\"] \n  16 -> 18 [size =\"22377472\"]\n  16 -> 19 [size =\"22377472\"]\n  16 -> 20 [size =\"22377472\"]\n  17 [size=\"25051136\", alpha=\"0.12\", expect_size=\"12525568\"] \n  17 -> 18 [size =\"12525568\"]\n  17 -> 19 [size =\"12525568\"]\n  17 -> 20 [size =\"12525568\"]\n  18 [size=\"65353728\", alpha=\"0.09\", expect_size=\"32676864\"] \n  18 -> 21 [size =\"32676864\"]\n  18 -> 22 [size =\"32676864\"]\n  18 -> 23 [size =\"32676864\"]\n  19 [size=\"11644928\", alpha=\"0.03\", expect_size=\"5822464\"] \n  19 -> 21 [size =\"5822464\"]\n  19 -> 23 [size =\"5822464\"]\n  20 [size=\"11599872\", alpha=\"0.16\", expect_size=\"5799936\"] \n  20 -> 21 [size =\"5799936\"]\n  21 [size=\"23177216\", alpha=\"0.17\", expect_size=\"11588608\"] \n  21 -> 24 [size =\"11588608\"]\n  21 -> 26 [size =\"11588608\"]\n  22 [size=\"70225920\", alpha=\"0.05\", expect_size=\"35112960\"] \n  22 -> 24 [size =\"35112960\"]\n  22 -> 25 [size =\"35112960\"]\n  22 -> 26 [size =\"35112960\"]\n  23 [size=\"55107584\", alpha=\"0.05\", expect_size=\"27553792\"] \n  23 -> 24 [size =\"27553792\"]\n  23 -> 25 [size =\"27553792\"]\n  23 -> 26 [size =\"27553792\"]\n  24 [size=\"21690368\", alpha=\"0.07\", expect_size=\"10845184\"] \n  24 -> 27 [size =\"10845184\"]\n  24 -> 28 [size =\"10845184\"]\n  25 [size=\"100800512\", alpha=\"0.10\", expect_size=\"50400256\"] \n  25 -> 27 [size =\"50400256\"]\n  25 -> 28 [size =\"50400256\"]\n  26 [size=\"97583104\", alpha=\"0.03\", expect_size=\"48791552\"] \n  26 -> 27 [size =\"48791552\"]\n  26 -> 28 [size =\"48791552\"]\n  27 [size=\"100534272\", alpha=\"0.03\", expect_size=\"50267136\"] \n  27 -> 29 [size =\"50267136\"]\n  27 -> 30 [size =\"50267136\"]\n  28 [size=\"63997952\", alpha=\"0.17\", expect_size=\"31998976\"] \n  28 -> 29 [size =\"31998976\"]\n  28 -> 30 [size =\"31998976\"]\n  29 [size=\"11558912\", alpha=\"0.16\", expect_size=\"5779456\"] \n  29 -> 31 [size =\"5779456\"]\n  30 [size=\"23877632\", alpha=\"0.05\", expect_size=\"11938816\"] \n  30 -> 31 [size =\"11938816\"]\n  30 -> 32 [size =\"11938816\"]\n  31 [size=\"97517568\", alpha=\"0.02\", expect_size=\"48758784\"] \n  31 -> 33 [size =\"48758784\"]\n  32 [size=\"81412096\", alpha=\"0.19\", expect_size=\"40706048\"] \n  32 -> 33 [size =\"40706048\"]\n  32 -> 34 [size =\"40706048\"]\n  33 [size=\"12400640\", alpha=\"0.11\", expect_size=\"6200320\"] \n  33 -> 35 [size =\"6200320\"]\n  33 -> 36 [size =\"6200320\"]\n  33 -> 37 [size =\"6200320\"]\n  34 [size=\"34027520\", alpha=\"0.07\", expect_size=\"17013760\"] \n  34 -> 35 [size =\"17013760\"]\n  34 -> 36 [size =\"17013760\"]\n  34 -> 37 [size =\"17013760\"]\n  35 [size=\"69054464\", alpha=\"0.19\", expect_size=\"34527232\"] \n  35 -> 38 [size =\"34527232\"]\n  35 -> 39 [size =\"34527232\"]\n  36 [size=\"19791872\", alpha=\"0.18\", expect_size=\"9895936\"] \n  36 -> 39 [size =\"9895936\"]\n  36 -> 40 [size =\"9895936\"]\n  37 [size=\"35014656\", alpha=\"0.01\", expect_size=\"17507328\"] \n  37 -> 38 [size =\"17507328\"]\n  37 -> 39 [size =\"17507328\"]\n  38 [size=\"47933440\", alpha=\"0.15\", expect_size=\"23966720\"] \n  38 -> 41 [size =\"23966720\"]\n  38 -> 42 [size =\"23966720\"]\n  39 [size=\"34662400\", alpha=\"0.09\", expect_size=\"17331200\"] \n  39 -> 42 [size =\"17331200\"]\n  40 [size=\"15204352\", alpha=\"0.03\", expect_size=\"7602176\"] \n  40 -> 42 [size =\"7602176\"]\n  41 [size=\"39323648\", alpha=\"0.01\", expect_size=\"19661824\"] \n  41 -> 43 [size =\"19661824\"]\n  41 -> 45 [size =\"19661824\"]\n  42 [size=\"50042880\", alpha=\"0.10\", expect_size=\"25021440\"] \n  42 -> 43 [size =\"25021440\"]\n  42 -> 44 [size =\"25021440\"]\n  43 [size=\"44339200\", alpha=\"0.10\", expect_size=\"22169600\"] \n  43 -> 46 [size =\"22169600\"]\n  44 [size=\"98449408\", alpha=\"0.11\", expect_size=\"49224704\"] \n  44 -> 46 [size =\"49224704\"]\n  44 -> 47 [size =\"49224704\"]\n  45 [size=\"37978112\", alpha=\"0.12\", expect_size=\"18989056\"] \n  45 -> 46 [size =\"18989056\"]\n  46 [size=\"34158592\", alpha=\"0.11\", expect_size=\"17079296\"] \n  46 -> 48 [size =\"17079296\"]\n  46 -> 50 [size =\"17079296\"]\n  47 [size=\"26888192\", alpha=\"0.10\", expect_size=\"13444096\"] \n  47 -> 48 [size =\"13444096\"]\n  47 -> 49 [size =\"13444096\"]\n  47 -> 50 [size =\"13444096\"]\n  48 [size=\"30736384\", alpha=\"0.19\", expect_size=\"15368192\"] \n  49 [size=\"100571136\", alpha=\"0.09\", expect_size=\"50285568\"] \n  50 [size=\"48807936\", alpha=\"0.02\", expect_size=\"24403968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.322.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65006933\", alpha=\"0.19\", expect_size=\"19502080\"] \n  1 -> 17 [size =\"19502080\"]\n  1 -> 18 [size =\"19502080\"]\n  1 -> 19 [size =\"19502080\"]\n  1 -> 24 [size =\"19502080\"]\n  1 -> 26 [size =\"19502080\"]\n  1 -> 29 [size =\"19502080\"]\n  1 -> 30 [size =\"19502080\"]\n  1 -> 31 [size =\"19502080\"]\n  2 [size=\"112165547\", alpha=\"0.02\", expect_size=\"33649664\"] \n  2 -> 15 [size =\"33649664\"]\n  2 -> 17 [size =\"33649664\"]\n  2 -> 18 [size =\"33649664\"]\n  2 -> 19 [size =\"33649664\"]\n  2 -> 22 [size =\"33649664\"]\n  2 -> 24 [size =\"33649664\"]\n  2 -> 25 [size =\"33649664\"]\n  2 -> 26 [size =\"33649664\"]\n  2 -> 29 [size =\"33649664\"]\n  2 -> 30 [size =\"33649664\"]\n  3 [size=\"137625600\", alpha=\"0.15\", expect_size=\"41287680\"] \n  3 -> 17 [size =\"41287680\"]\n  3 -> 18 [size =\"41287680\"]\n  3 -> 18 [size =\"41287680\"]\n  3 -> 20 [size =\"41287680\"]\n  3 -> 21 [size =\"41287680\"]\n  3 -> 22 [size =\"41287680\"]\n  3 -> 23 [size =\"41287680\"]\n  3 -> 24 [size =\"41287680\"]\n  3 -> 25 [size =\"41287680\"]\n  3 -> 26 [size =\"41287680\"]\n  3 -> 27 [size =\"41287680\"]\n  3 -> 29 [size =\"41287680\"]\n  3 -> 30 [size =\"41287680\"]\n  4 [size=\"167284053\", alpha=\"0.15\", expect_size=\"50185216\"] \n  4 -> 17 [size =\"50185216\"]\n  4 -> 18 [size =\"50185216\"]\n  4 -> 19 [size =\"50185216\"]\n  4 -> 20 [size =\"50185216\"]\n  4 -> 22 [size =\"50185216\"]\n  4 -> 22 [size =\"50185216\"]\n  4 -> 23 [size =\"50185216\"]\n  4 -> 25 [size =\"50185216\"]\n  4 -> 25 [size =\"50185216\"]\n  4 -> 26 [size =\"50185216\"]\n  4 -> 27 [size =\"50185216\"]\n  4 -> 29 [size =\"50185216\"]\n  4 -> 30 [size =\"50185216\"]\n  5 [size=\"146469547\", alpha=\"0.05\", expect_size=\"43940864\"] \n  5 -> 15 [size =\"43940864\"]\n  5 -> 18 [size =\"43940864\"]\n  5 -> 20 [size =\"43940864\"]\n  5 -> 21 [size =\"43940864\"]\n  5 -> 22 [size =\"43940864\"]\n  5 -> 24 [size =\"43940864\"]\n  5 -> 26 [size =\"43940864\"]\n  5 -> 28 [size =\"43940864\"]\n  5 -> 30 [size =\"43940864\"]\n  5 -> 31 [size =\"43940864\"]\n  6 [size=\"51316053\", alpha=\"0.13\", expect_size=\"15394816\"] \n  6 -> 17 [size =\"15394816\"]\n  6 -> 19 [size =\"15394816\"]\n  6 -> 21 [size =\"15394816\"]\n  6 -> 21 [size =\"15394816\"]\n  6 -> 22 [size =\"15394816\"]\n  6 -> 23 [size =\"15394816\"]\n  7 [size=\"62627840\", alpha=\"0.16\", expect_size=\"18788352\"] \n  7 -> 17 [size =\"18788352\"]\n  7 -> 18 [size =\"18788352\"]\n  7 -> 19 [size =\"18788352\"]\n  7 -> 21 [size =\"18788352\"]\n  7 -> 24 [size =\"18788352\"]\n  7 -> 25 [size =\"18788352\"]\n  7 -> 26 [size =\"18788352\"]\n  7 -> 27 [size =\"18788352\"]\n  7 -> 29 [size =\"18788352\"]\n  8 [size=\"91289600\", alpha=\"0.05\", expect_size=\"27386880\"] \n  8 -> 15 [size =\"27386880\"]\n  8 -> 16 [size =\"27386880\"]\n  8 -> 17 [size =\"27386880\"]\n  8 -> 18 [size =\"27386880\"]\n  8 -> 19 [size =\"27386880\"]\n  8 -> 20 [size =\"27386880\"]\n  8 -> 21 [size =\"27386880\"]\n  8 -> 22 [size =\"27386880\"]\n  8 -> 24 [size =\"27386880\"]\n  8 -> 27 [size =\"27386880\"]\n  8 -> 29 [size =\"27386880\"]\n  9 [size=\"73277440\", alpha=\"0.08\", expect_size=\"21983232\"] \n  9 -> 16 [size =\"21983232\"]\n  9 -> 20 [size =\"21983232\"]\n  9 -> 21 [size =\"21983232\"]\n  9 -> 22 [size =\"21983232\"]\n  9 -> 24 [size =\"21983232\"]\n  9 -> 29 [size =\"21983232\"]\n  10 [size=\"151627093\", alpha=\"0.17\", expect_size=\"45488128\"] \n  10 -> 15 [size =\"45488128\"]\n  10 -> 22 [size =\"45488128\"]\n  10 -> 24 [size =\"45488128\"]\n  10 -> 25 [size =\"45488128\"]\n  10 -> 26 [size =\"45488128\"]\n  10 -> 27 [size =\"45488128\"]\n  10 -> 29 [size =\"45488128\"]\n  10 -> 30 [size =\"45488128\"]\n  11 [size=\"112250880\", alpha=\"0.11\", expect_size=\"33675264\"] \n  11 -> 15 [size =\"33675264\"]\n  11 -> 19 [size =\"33675264\"]\n  11 -> 23 [size =\"33675264\"]\n  11 -> 25 [size =\"33675264\"]\n  11 -> 26 [size =\"33675264\"]\n  11 -> 27 [size =\"33675264\"]\n  11 -> 28 [size =\"33675264\"]\n  11 -> 29 [size =\"33675264\"]\n  11 -> 30 [size =\"33675264\"]\n  11 -> 31 [size =\"33675264\"]\n  12 [size=\"102092800\", alpha=\"0.06\", expect_size=\"30627840\"] \n  12 -> 15 [size =\"30627840\"]\n  12 -> 18 [size =\"30627840\"]\n  12 -> 21 [size =\"30627840\"]\n  12 -> 23 [size =\"30627840\"]\n  12 -> 25 [size =\"30627840\"]\n  12 -> 26 [size =\"30627840\"]\n  12 -> 27 [size =\"30627840\"]\n  12 -> 29 [size =\"30627840\"]\n  13 [size=\"121122133\", alpha=\"0.12\", expect_size=\"36336640\"] \n  13 -> 15 [size =\"36336640\"]\n  13 -> 18 [size =\"36336640\"]\n  13 -> 21 [size =\"36336640\"]\n  13 -> 22 [size =\"36336640\"]\n  13 -> 24 [size =\"36336640\"]\n  13 -> 26 [size =\"36336640\"]\n  13 -> 29 [size =\"36336640\"]\n  13 -> 30 [size =\"36336640\"]\n  14 [size=\"84053333\", alpha=\"0.03\", expect_size=\"25216000\"] \n  14 -> 15 [size =\"25216000\"]\n  14 -> 18 [size =\"25216000\"]\n  14 -> 19 [size =\"25216000\"]\n  14 -> 21 [size =\"25216000\"]\n  14 -> 22 [size =\"25216000\"]\n  14 -> 23 [size =\"25216000\"]\n  14 -> 24 [size =\"25216000\"]\n  14 -> 25 [size =\"25216000\"]\n  14 -> 26 [size =\"25216000\"]\n  14 -> 27 [size =\"25216000\"]\n  14 -> 29 [size =\"25216000\"]\n  14 -> 30 [size =\"25216000\"]\n  15 [size=\"41676800\", alpha=\"0.06\", expect_size=\"12503040\"] \n  15 -> 33 [size =\"12503040\"]\n  15 -> 34 [size =\"12503040\"]\n  15 -> 34 [size =\"12503040\"]\n  15 -> 39 [size =\"12503040\"]\n  15 -> 44 [size =\"12503040\"]\n  15 -> 44 [size =\"12503040\"]\n  16 [size=\"81114453\", alpha=\"0.07\", expect_size=\"24334336\"] \n  16 -> 32 [size =\"24334336\"]\n  16 -> 33 [size =\"24334336\"]\n  16 -> 34 [size =\"24334336\"]\n  16 -> 44 [size =\"24334336\"]\n  17 [size=\"29941760\", alpha=\"0.08\", expect_size=\"8982528\"] \n  17 -> 32 [size =\"8982528\"]\n  17 -> 33 [size =\"8982528\"]\n  17 -> 34 [size =\"8982528\"]\n  17 -> 39 [size =\"8982528\"]\n  17 -> 43 [size =\"8982528\"]\n  17 -> 44 [size =\"8982528\"]\n  17 -> 45 [size =\"8982528\"]\n  18 [size=\"154579627\", alpha=\"0.12\", expect_size=\"46373888\"] \n  18 -> 33 [size =\"46373888\"]\n  18 -> 34 [size =\"46373888\"]\n  18 -> 36 [size =\"46373888\"]\n  18 -> 39 [size =\"46373888\"]\n  18 -> 41 [size =\"46373888\"]\n  18 -> 44 [size =\"46373888\"]\n  18 -> 45 [size =\"46373888\"]\n  19 [size=\"33030827\", alpha=\"0.18\", expect_size=\"9909248\"] \n  19 -> 39 [size =\"9909248\"]\n  19 -> 43 [size =\"9909248\"]\n  19 -> 45 [size =\"9909248\"]\n  20 [size=\"93552640\", alpha=\"0.20\", expect_size=\"28065792\"] \n  20 -> 34 [size =\"28065792\"]\n  20 -> 38 [size =\"28065792\"]\n  20 -> 43 [size =\"28065792\"]\n  20 -> 44 [size =\"28065792\"]\n  20 -> 45 [size =\"28065792\"]\n  21 [size=\"73738240\", alpha=\"0.07\", expect_size=\"22121472\"] \n  21 -> 32 [size =\"22121472\"]\n  21 -> 35 [size =\"22121472\"]\n  21 -> 42 [size =\"22121472\"]\n  21 -> 44 [size =\"22121472\"]\n  22 [size=\"161102507\", alpha=\"0.06\", expect_size=\"48330752\"] \n  22 -> 32 [size =\"48330752\"]\n  22 -> 34 [size =\"48330752\"]\n  22 -> 39 [size =\"48330752\"]\n  22 -> 44 [size =\"48330752\"]\n  22 -> 45 [size =\"48330752\"]\n  23 [size=\"50817707\", alpha=\"0.01\", expect_size=\"15245312\"] \n  23 -> 39 [size =\"15245312\"]\n  23 -> 41 [size =\"15245312\"]\n  23 -> 44 [size =\"15245312\"]\n  23 -> 45 [size =\"15245312\"]\n  24 [size=\"148674560\", alpha=\"0.15\", expect_size=\"44602368\"] \n  24 -> 32 [size =\"44602368\"]\n  24 -> 39 [size =\"44602368\"]\n  24 -> 40 [size =\"44602368\"]\n  24 -> 42 [size =\"44602368\"]\n  25 [size=\"17930240\", alpha=\"0.05\", expect_size=\"5379072\"] \n  25 -> 32 [size =\"5379072\"]\n  25 -> 39 [size =\"5379072\"]\n  25 -> 41 [size =\"5379072\"]\n  25 -> 45 [size =\"5379072\"]\n  26 [size=\"67310933\", alpha=\"0.19\", expect_size=\"20193280\"] \n  26 -> 32 [size =\"20193280\"]\n  26 -> 33 [size =\"20193280\"]\n  26 -> 36 [size =\"20193280\"]\n  26 -> 39 [size =\"20193280\"]\n  26 -> 41 [size =\"20193280\"]\n  26 -> 42 [size =\"20193280\"]\n  27 [size=\"118681600\", alpha=\"0.19\", expect_size=\"35604480\"] \n  27 -> 32 [size =\"35604480\"]\n  27 -> 33 [size =\"35604480\"]\n  27 -> 34 [size =\"35604480\"]\n  27 -> 36 [size =\"35604480\"]\n  27 -> 39 [size =\"35604480\"]\n  27 -> 41 [size =\"35604480\"]\n  27 -> 44 [size =\"35604480\"]\n  28 [size=\"24371200\", alpha=\"0.09\", expect_size=\"7311360\"] \n  28 -> 32 [size =\"7311360\"]\n  28 -> 34 [size =\"7311360\"]\n  28 -> 36 [size =\"7311360\"]\n  28 -> 39 [size =\"7311360\"]\n  28 -> 41 [size =\"7311360\"]\n  28 -> 44 [size =\"7311360\"]\n  29 [size=\"120965120\", alpha=\"0.05\", expect_size=\"36289536\"] \n  29 -> 32 [size =\"36289536\"]\n  29 -> 33 [size =\"36289536\"]\n  29 -> 39 [size =\"36289536\"]\n  29 -> 39 [size =\"36289536\"]\n  29 -> 41 [size =\"36289536\"]\n  29 -> 43 [size =\"36289536\"]\n  29 -> 44 [size =\"36289536\"]\n  30 [size=\"108349440\", alpha=\"0.19\", expect_size=\"32504832\"] \n  30 -> 32 [size =\"32504832\"]\n  30 -> 33 [size =\"32504832\"]\n  30 -> 34 [size =\"32504832\"]\n  30 -> 37 [size =\"32504832\"]\n  30 -> 39 [size =\"32504832\"]\n  30 -> 41 [size =\"32504832\"]\n  30 -> 44 [size =\"32504832\"]\n  31 [size=\"105799680\", alpha=\"0.05\", expect_size=\"31739904\"] \n  31 -> 33 [size =\"31739904\"]\n  31 -> 33 [size =\"31739904\"]\n  31 -> 34 [size =\"31739904\"]\n  31 -> 39 [size =\"31739904\"]\n  31 -> 41 [size =\"31739904\"]\n  31 -> 44 [size =\"31739904\"]\n  31 -> 44 [size =\"31739904\"]\n  31 -> 45 [size =\"31739904\"]\n  32 [size=\"160849920\", alpha=\"0.01\", expect_size=\"48254976\"] \n  32 -> 46 [size =\"48254976\"]\n  32 -> 47 [size =\"48254976\"]\n  32 -> 48 [size =\"48254976\"]\n  33 [size=\"53620053\", alpha=\"0.11\", expect_size=\"16086016\"] \n  33 -> 46 [size =\"16086016\"]\n  33 -> 47 [size =\"16086016\"]\n  34 [size=\"61542400\", alpha=\"0.09\", expect_size=\"18462720\"] \n  34 -> 47 [size =\"18462720\"]\n  34 -> 47 [size =\"18462720\"]\n  35 [size=\"19858773\", alpha=\"0.10\", expect_size=\"5957632\"] \n  35 -> 46 [size =\"5957632\"]\n  35 -> 47 [size =\"5957632\"]\n  36 [size=\"57562453\", alpha=\"0.20\", expect_size=\"17268736\"] \n  36 -> 46 [size =\"17268736\"]\n  36 -> 47 [size =\"17268736\"]\n  36 -> 49 [size =\"17268736\"]\n  37 [size=\"51210240\", alpha=\"0.11\", expect_size=\"15363072\"] \n  37 -> 47 [size =\"15363072\"]\n  37 -> 48 [size =\"15363072\"]\n  38 [size=\"45957120\", alpha=\"0.19\", expect_size=\"13787136\"] \n  38 -> 46 [size =\"13787136\"]\n  38 -> 47 [size =\"13787136\"]\n  38 -> 50 [size =\"13787136\"]\n  39 [size=\"115613013\", alpha=\"0.09\", expect_size=\"34683904\"] \n  39 -> 46 [size =\"34683904\"]\n  39 -> 47 [size =\"34683904\"]\n  39 -> 48 [size =\"34683904\"]\n  39 -> 49 [size =\"34683904\"]\n  40 [size=\"158702933\", alpha=\"0.09\", expect_size=\"47610880\"] \n  40 -> 46 [size =\"47610880\"]\n  40 -> 47 [size =\"47610880\"]\n  41 [size=\"152087893\", alpha=\"0.16\", expect_size=\"45626368\"] \n  41 -> 46 [size =\"45626368\"]\n  41 -> 48 [size =\"45626368\"]\n  42 [size=\"33259520\", alpha=\"0.02\", expect_size=\"9977856\"] \n  42 -> 49 [size =\"9977856\"]\n  42 -> 50 [size =\"9977856\"]\n  43 [size=\"44124160\", alpha=\"0.11\", expect_size=\"13237248\"] \n  43 -> 46 [size =\"13237248\"]\n  43 -> 50 [size =\"13237248\"]\n  44 [size=\"131041280\", alpha=\"0.18\", expect_size=\"39312384\"] \n  44 -> 47 [size =\"39312384\"]\n  44 -> 49 [size =\"39312384\"]\n  45 [size=\"46015147\", alpha=\"0.04\", expect_size=\"13804544\"] \n  45 -> 47 [size =\"13804544\"]\n  46 [size=\"127822507\", alpha=\"0.17\", expect_size=\"38346752\"] \n  47 [size=\"125528747\", alpha=\"0.02\", expect_size=\"37658624\"] \n  48 [size=\"51602773\", alpha=\"0.09\", expect_size=\"15480832\"] \n  49 [size=\"43147947\", alpha=\"0.08\", expect_size=\"12944384\"] \n  50 [size=\"115722240\", alpha=\"0.20\", expect_size=\"34716672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.323.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28019200\", alpha=\"0.04\", expect_size=\"11207680\"] \n  1 -> 26 [size =\"11207680\"]\n  2 [size=\"114383360\", alpha=\"0.16\", expect_size=\"45753344\"] \n  2 -> 25 [size =\"45753344\"]\n  3 [size=\"31065600\", alpha=\"0.11\", expect_size=\"12426240\"] \n  3 -> 23 [size =\"12426240\"]\n  3 -> 26 [size =\"12426240\"]\n  4 [size=\"76341760\", alpha=\"0.14\", expect_size=\"30536704\"] \n  4 -> 21 [size =\"30536704\"]\n  4 -> 22 [size =\"30536704\"]\n  4 -> 23 [size =\"30536704\"]\n  4 -> 24 [size =\"30536704\"]\n  4 -> 26 [size =\"30536704\"]\n  5 [size=\"93470720\", alpha=\"0.11\", expect_size=\"37388288\"] \n  5 -> 22 [size =\"37388288\"]\n  5 -> 26 [size =\"37388288\"]\n  6 [size=\"91712000\", alpha=\"0.14\", expect_size=\"36684800\"] \n  6 -> 25 [size =\"36684800\"]\n  7 [size=\"110622720\", alpha=\"0.09\", expect_size=\"44249088\"] \n  7 -> 23 [size =\"44249088\"]\n  8 [size=\"30302720\", alpha=\"0.01\", expect_size=\"12121088\"] \n  8 -> 23 [size =\"12121088\"]\n  8 -> 25 [size =\"12121088\"]\n  8 -> 26 [size =\"12121088\"]\n  9 [size=\"124922880\", alpha=\"0.15\", expect_size=\"49969152\"] \n  9 -> 25 [size =\"49969152\"]\n  9 -> 25 [size =\"49969152\"]\n  9 -> 26 [size =\"49969152\"]\n  10 [size=\"17195520\", alpha=\"0.03\", expect_size=\"6878208\"] \n  10 -> 22 [size =\"6878208\"]\n  10 -> 23 [size =\"6878208\"]\n  10 -> 25 [size =\"6878208\"]\n  10 -> 26 [size =\"6878208\"]\n  11 [size=\"37570560\", alpha=\"0.06\", expect_size=\"15028224\"] \n  11 -> 22 [size =\"15028224\"]\n  11 -> 25 [size =\"15028224\"]\n  11 -> 26 [size =\"15028224\"]\n  12 [size=\"60549120\", alpha=\"0.12\", expect_size=\"24219648\"] \n  12 -> 20 [size =\"24219648\"]\n  12 -> 22 [size =\"24219648\"]\n  12 -> 25 [size =\"24219648\"]\n  12 -> 26 [size =\"24219648\"]\n  13 [size=\"35271680\", alpha=\"0.13\", expect_size=\"14108672\"] \n  13 -> 22 [size =\"14108672\"]\n  13 -> 22 [size =\"14108672\"]\n  13 -> 26 [size =\"14108672\"]\n  14 [size=\"101224960\", alpha=\"0.06\", expect_size=\"40489984\"] \n  14 -> 22 [size =\"40489984\"]\n  14 -> 26 [size =\"40489984\"]\n  15 [size=\"64258560\", alpha=\"0.09\", expect_size=\"25703424\"] \n  15 -> 21 [size =\"25703424\"]\n  15 -> 25 [size =\"25703424\"]\n  16 [size=\"128235520\", alpha=\"0.15\", expect_size=\"51294208\"] \n  16 -> 22 [size =\"51294208\"]\n  16 -> 25 [size =\"51294208\"]\n  16 -> 26 [size =\"51294208\"]\n  17 [size=\"92423680\", alpha=\"0.10\", expect_size=\"36969472\"] \n  17 -> 19 [size =\"36969472\"]\n  17 -> 20 [size =\"36969472\"]\n  17 -> 22 [size =\"36969472\"]\n  17 -> 23 [size =\"36969472\"]\n  17 -> 25 [size =\"36969472\"]\n  17 -> 26 [size =\"36969472\"]\n  18 [size=\"25400320\", alpha=\"0.13\", expect_size=\"10160128\"] \n  18 -> 25 [size =\"10160128\"]\n  19 [size=\"30586880\", alpha=\"0.15\", expect_size=\"12234752\"] \n  19 -> 28 [size =\"12234752\"]\n  20 [size=\"120135680\", alpha=\"0.19\", expect_size=\"48054272\"] \n  20 -> 28 [size =\"48054272\"]\n  20 -> 29 [size =\"48054272\"]\n  20 -> 33 [size =\"48054272\"]\n  21 [size=\"19781120\", alpha=\"0.06\", expect_size=\"7912448\"] \n  21 -> 28 [size =\"7912448\"]\n  22 [size=\"56025600\", alpha=\"0.11\", expect_size=\"22410240\"] \n  22 -> 27 [size =\"22410240\"]\n  22 -> 30 [size =\"22410240\"]\n  22 -> 32 [size =\"22410240\"]\n  22 -> 33 [size =\"22410240\"]\n  23 [size=\"126602240\", alpha=\"0.18\", expect_size=\"50640896\"] \n  23 -> 30 [size =\"50640896\"]\n  23 -> 31 [size =\"50640896\"]\n  23 -> 33 [size =\"50640896\"]\n  24 [size=\"87242240\", alpha=\"0.16\", expect_size=\"34896896\"] \n  24 -> 27 [size =\"34896896\"]\n  24 -> 28 [size =\"34896896\"]\n  24 -> 30 [size =\"34896896\"]\n  24 -> 31 [size =\"34896896\"]\n  24 -> 33 [size =\"34896896\"]\n  24 -> 34 [size =\"34896896\"]\n  25 [size=\"124736000\", alpha=\"0.07\", expect_size=\"49894400\"] \n  25 -> 27 [size =\"49894400\"]\n  25 -> 29 [size =\"49894400\"]\n  25 -> 31 [size =\"49894400\"]\n  25 -> 31 [size =\"49894400\"]\n  25 -> 32 [size =\"49894400\"]\n  25 -> 33 [size =\"49894400\"]\n  25 -> 34 [size =\"49894400\"]\n  26 [size=\"60736000\", alpha=\"0.12\", expect_size=\"24294400\"] \n  26 -> 27 [size =\"24294400\"]\n  26 -> 33 [size =\"24294400\"]\n  26 -> 34 [size =\"24294400\"]\n  27 [size=\"30543360\", alpha=\"0.14\", expect_size=\"12217344\"] \n  27 -> 37 [size =\"12217344\"]\n  27 -> 38 [size =\"12217344\"]\n  27 -> 47 [size =\"12217344\"]\n  28 [size=\"89587200\", alpha=\"0.18\", expect_size=\"35834880\"] \n  28 -> 38 [size =\"35834880\"]\n  28 -> 44 [size =\"35834880\"]\n  28 -> 45 [size =\"35834880\"]\n  28 -> 47 [size =\"35834880\"]\n  29 [size=\"45388800\", alpha=\"0.01\", expect_size=\"18155520\"] \n  29 -> 35 [size =\"18155520\"]\n  29 -> 38 [size =\"18155520\"]\n  29 -> 47 [size =\"18155520\"]\n  30 [size=\"16005120\", alpha=\"0.05\", expect_size=\"6402048\"] \n  30 -> 35 [size =\"6402048\"]\n  30 -> 38 [size =\"6402048\"]\n  30 -> 41 [size =\"6402048\"]\n  30 -> 45 [size =\"6402048\"]\n  30 -> 46 [size =\"6402048\"]\n  30 -> 47 [size =\"6402048\"]\n  31 [size=\"130867200\", alpha=\"0.13\", expect_size=\"52346880\"] \n  31 -> 35 [size =\"52346880\"]\n  31 -> 37 [size =\"52346880\"]\n  31 -> 38 [size =\"52346880\"]\n  31 -> 42 [size =\"52346880\"]\n  31 -> 44 [size =\"52346880\"]\n  31 -> 45 [size =\"52346880\"]\n  31 -> 46 [size =\"52346880\"]\n  31 -> 47 [size =\"52346880\"]\n  32 [size=\"51000320\", alpha=\"0.09\", expect_size=\"20400128\"] \n  32 -> 35 [size =\"20400128\"]\n  32 -> 38 [size =\"20400128\"]\n  32 -> 42 [size =\"20400128\"]\n  32 -> 43 [size =\"20400128\"]\n  33 [size=\"113610240\", alpha=\"0.09\", expect_size=\"45444096\"] \n  33 -> 35 [size =\"45444096\"]\n  33 -> 37 [size =\"45444096\"]\n  33 -> 40 [size =\"45444096\"]\n  33 -> 44 [size =\"45444096\"]\n  33 -> 45 [size =\"45444096\"]\n  34 [size=\"100723200\", alpha=\"0.04\", expect_size=\"40289280\"] \n  34 -> 36 [size =\"40289280\"]\n  34 -> 39 [size =\"40289280\"]\n  34 -> 42 [size =\"40289280\"]\n  34 -> 43 [size =\"40289280\"]\n  34 -> 46 [size =\"40289280\"]\n  35 [size=\"75581440\", alpha=\"0.08\", expect_size=\"30232576\"] \n  36 [size=\"118545920\", alpha=\"0.11\", expect_size=\"47418368\"] \n  37 [size=\"72294400\", alpha=\"0.07\", expect_size=\"28917760\"] \n  38 [size=\"34342400\", alpha=\"0.06\", expect_size=\"13736960\"] \n  38 -> 49 [size =\"13736960\"]\n  38 -> 50 [size =\"13736960\"]\n  39 [size=\"21888000\", alpha=\"0.07\", expect_size=\"8755200\"] \n  39 -> 48 [size =\"8755200\"]\n  39 -> 50 [size =\"8755200\"]\n  40 [size=\"28784640\", alpha=\"0.07\", expect_size=\"11513856\"] \n  40 -> 48 [size =\"11513856\"]\n  41 [size=\"59120640\", alpha=\"0.08\", expect_size=\"23648256\"] \n  41 -> 48 [size =\"23648256\"]\n  41 -> 49 [size =\"23648256\"]\n  42 [size=\"19399680\", alpha=\"0.16\", expect_size=\"7759872\"] \n  42 -> 48 [size =\"7759872\"]\n  43 [size=\"75023360\", alpha=\"0.03\", expect_size=\"30009344\"] \n  43 -> 48 [size =\"30009344\"]\n  44 [size=\"130196480\", alpha=\"0.03\", expect_size=\"52078592\"] \n  45 [size=\"37107200\", alpha=\"0.02\", expect_size=\"14842880\"] \n  46 [size=\"82839040\", alpha=\"0.09\", expect_size=\"33135616\"] \n  47 [size=\"28628480\", alpha=\"0.19\", expect_size=\"11451392\"] \n  47 -> 49 [size =\"11451392\"]\n  48 [size=\"71756800\", alpha=\"0.02\", expect_size=\"28702720\"] \n  49 [size=\"106554880\", alpha=\"0.10\", expect_size=\"42621952\"] \n  50 [size=\"32537600\", alpha=\"0.19\", expect_size=\"13015040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.324.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"170229760\", alpha=\"0.16\", expect_size=\"51068928\"] \n  1 -> 7 [size =\"51068928\"]\n  1 -> 9 [size =\"51068928\"]\n  1 -> 10 [size =\"51068928\"]\n  1 -> 11 [size =\"51068928\"]\n  1 -> 12 [size =\"51068928\"]\n  1 -> 13 [size =\"51068928\"]\n  1 -> 13 [size =\"51068928\"]\n  1 -> 14 [size =\"51068928\"]\n  2 [size=\"171318613\", alpha=\"0.13\", expect_size=\"51395584\"] \n  2 -> 7 [size =\"51395584\"]\n  2 -> 8 [size =\"51395584\"]\n  2 -> 9 [size =\"51395584\"]\n  2 -> 10 [size =\"51395584\"]\n  2 -> 11 [size =\"51395584\"]\n  2 -> 12 [size =\"51395584\"]\n  2 -> 14 [size =\"51395584\"]\n  3 [size=\"20910080\", alpha=\"0.01\", expect_size=\"6273024\"] \n  3 -> 9 [size =\"6273024\"]\n  3 -> 10 [size =\"6273024\"]\n  3 -> 11 [size =\"6273024\"]\n  3 -> 12 [size =\"6273024\"]\n  3 -> 13 [size =\"6273024\"]\n  3 -> 14 [size =\"6273024\"]\n  3 -> 14 [size =\"6273024\"]\n  4 [size=\"50978133\", alpha=\"0.07\", expect_size=\"15293440\"] \n  4 -> 7 [size =\"15293440\"]\n  4 -> 9 [size =\"15293440\"]\n  4 -> 11 [size =\"15293440\"]\n  4 -> 12 [size =\"15293440\"]\n  4 -> 13 [size =\"15293440\"]\n  4 -> 14 [size =\"15293440\"]\n  5 [size=\"67034453\", alpha=\"0.12\", expect_size=\"20110336\"] \n  5 -> 7 [size =\"20110336\"]\n  5 -> 9 [size =\"20110336\"]\n  5 -> 11 [size =\"20110336\"]\n  5 -> 12 [size =\"20110336\"]\n  5 -> 13 [size =\"20110336\"]\n  5 -> 14 [size =\"20110336\"]\n  6 [size=\"29091840\", alpha=\"0.08\", expect_size=\"8727552\"] \n  6 -> 7 [size =\"8727552\"]\n  6 -> 8 [size =\"8727552\"]\n  6 -> 9 [size =\"8727552\"]\n  6 -> 10 [size =\"8727552\"]\n  6 -> 11 [size =\"8727552\"]\n  6 -> 12 [size =\"8727552\"]\n  6 -> 13 [size =\"8727552\"]\n  7 [size=\"107359573\", alpha=\"0.15\", expect_size=\"32207872\"] \n  7 -> 18 [size =\"32207872\"]\n  7 -> 20 [size =\"32207872\"]\n  7 -> 21 [size =\"32207872\"]\n  8 [size=\"109195947\", alpha=\"0.03\", expect_size=\"32758784\"] \n  8 -> 15 [size =\"32758784\"]\n  8 -> 20 [size =\"32758784\"]\n  9 [size=\"95774720\", alpha=\"0.04\", expect_size=\"28732416\"] \n  9 -> 15 [size =\"28732416\"]\n  9 -> 18 [size =\"28732416\"]\n  9 -> 19 [size =\"28732416\"]\n  9 -> 20 [size =\"28732416\"]\n  10 [size=\"102519467\", alpha=\"0.02\", expect_size=\"30755840\"] \n  10 -> 16 [size =\"30755840\"]\n  10 -> 17 [size =\"30755840\"]\n  10 -> 19 [size =\"30755840\"]\n  10 -> 21 [size =\"30755840\"]\n  11 [size=\"147712000\", alpha=\"0.01\", expect_size=\"44313600\"] \n  11 -> 16 [size =\"44313600\"]\n  11 -> 17 [size =\"44313600\"]\n  11 -> 19 [size =\"44313600\"]\n  11 -> 21 [size =\"44313600\"]\n  12 [size=\"117459627\", alpha=\"0.08\", expect_size=\"35237888\"] \n  12 -> 16 [size =\"35237888\"]\n  12 -> 17 [size =\"35237888\"]\n  12 -> 20 [size =\"35237888\"]\n  12 -> 21 [size =\"35237888\"]\n  13 [size=\"64962560\", alpha=\"0.10\", expect_size=\"19488768\"] \n  13 -> 19 [size =\"19488768\"]\n  13 -> 21 [size =\"19488768\"]\n  14 [size=\"73472000\", alpha=\"0.10\", expect_size=\"22041600\"] \n  14 -> 16 [size =\"22041600\"]\n  14 -> 18 [size =\"22041600\"]\n  15 [size=\"131840000\", alpha=\"0.08\", expect_size=\"39552000\"] \n  15 -> 22 [size =\"39552000\"]\n  15 -> 23 [size =\"39552000\"]\n  16 [size=\"70184960\", alpha=\"0.13\", expect_size=\"21055488\"] \n  16 -> 22 [size =\"21055488\"]\n  16 -> 23 [size =\"21055488\"]\n  17 [size=\"132703573\", alpha=\"0.13\", expect_size=\"39811072\"] \n  17 -> 22 [size =\"39811072\"]\n  17 -> 23 [size =\"39811072\"]\n  17 -> 24 [size =\"39811072\"]\n  17 -> 26 [size =\"39811072\"]\n  18 [size=\"91381760\", alpha=\"0.11\", expect_size=\"27414528\"] \n  18 -> 22 [size =\"27414528\"]\n  18 -> 23 [size =\"27414528\"]\n  18 -> 25 [size =\"27414528\"]\n  18 -> 26 [size =\"27414528\"]\n  19 [size=\"118190080\", alpha=\"0.02\", expect_size=\"35457024\"] \n  19 -> 22 [size =\"35457024\"]\n  19 -> 23 [size =\"35457024\"]\n  19 -> 25 [size =\"35457024\"]\n  20 [size=\"150022827\", alpha=\"0.15\", expect_size=\"45006848\"] \n  20 -> 22 [size =\"45006848\"]\n  20 -> 23 [size =\"45006848\"]\n  20 -> 24 [size =\"45006848\"]\n  20 -> 25 [size =\"45006848\"]\n  21 [size=\"163249493\", alpha=\"0.07\", expect_size=\"48974848\"] \n  21 -> 22 [size =\"48974848\"]\n  21 -> 23 [size =\"48974848\"]\n  21 -> 24 [size =\"48974848\"]\n  21 -> 25 [size =\"48974848\"]\n  22 [size=\"170564267\", alpha=\"0.18\", expect_size=\"51169280\"] \n  22 -> 27 [size =\"51169280\"]\n  22 -> 29 [size =\"51169280\"]\n  22 -> 30 [size =\"51169280\"]\n  22 -> 31 [size =\"51169280\"]\n  23 [size=\"79250773\", alpha=\"0.11\", expect_size=\"23775232\"] \n  23 -> 27 [size =\"23775232\"]\n  23 -> 28 [size =\"23775232\"]\n  23 -> 29 [size =\"23775232\"]\n  23 -> 30 [size =\"23775232\"]\n  23 -> 31 [size =\"23775232\"]\n  24 [size=\"156774400\", alpha=\"0.07\", expect_size=\"47032320\"] \n  24 -> 29 [size =\"47032320\"]\n  24 -> 30 [size =\"47032320\"]\n  25 [size=\"81609387\", alpha=\"0.10\", expect_size=\"24482816\"] \n  25 -> 27 [size =\"24482816\"]\n  25 -> 28 [size =\"24482816\"]\n  25 -> 29 [size =\"24482816\"]\n  25 -> 30 [size =\"24482816\"]\n  26 [size=\"147817813\", alpha=\"0.14\", expect_size=\"44345344\"] \n  26 -> 27 [size =\"44345344\"]\n  26 -> 28 [size =\"44345344\"]\n  26 -> 30 [size =\"44345344\"]\n  27 [size=\"91361280\", alpha=\"0.10\", expect_size=\"27408384\"] \n  27 -> 33 [size =\"27408384\"]\n  27 -> 34 [size =\"27408384\"]\n  27 -> 36 [size =\"27408384\"]\n  28 [size=\"38215680\", alpha=\"0.17\", expect_size=\"11464704\"] \n  28 -> 33 [size =\"11464704\"]\n  28 -> 35 [size =\"11464704\"]\n  29 [size=\"120930987\", alpha=\"0.14\", expect_size=\"36279296\"] \n  29 -> 32 [size =\"36279296\"]\n  30 [size=\"135608320\", alpha=\"0.02\", expect_size=\"40682496\"] \n  30 -> 33 [size =\"40682496\"]\n  31 [size=\"93163520\", alpha=\"0.07\", expect_size=\"27949056\"] \n  31 -> 33 [size =\"27949056\"]\n  31 -> 36 [size =\"27949056\"]\n  32 [size=\"146346667\", alpha=\"0.04\", expect_size=\"43904000\"] \n  32 -> 37 [size =\"43904000\"]\n  32 -> 38 [size =\"43904000\"]\n  32 -> 39 [size =\"43904000\"]\n  32 -> 40 [size =\"43904000\"]\n  32 -> 41 [size =\"43904000\"]\n  32 -> 43 [size =\"43904000\"]\n  33 [size=\"134427307\", alpha=\"0.08\", expect_size=\"40328192\"] \n  33 -> 38 [size =\"40328192\"]\n  33 -> 39 [size =\"40328192\"]\n  33 -> 39 [size =\"40328192\"]\n  33 -> 40 [size =\"40328192\"]\n  33 -> 41 [size =\"40328192\"]\n  33 -> 43 [size =\"40328192\"]\n  34 [size=\"60849493\", alpha=\"0.18\", expect_size=\"18254848\"] \n  34 -> 37 [size =\"18254848\"]\n  34 -> 39 [size =\"18254848\"]\n  34 -> 40 [size =\"18254848\"]\n  34 -> 43 [size =\"18254848\"]\n  34 -> 44 [size =\"18254848\"]\n  35 [size=\"116398080\", alpha=\"0.03\", expect_size=\"34919424\"] \n  35 -> 37 [size =\"34919424\"]\n  35 -> 41 [size =\"34919424\"]\n  36 [size=\"36061867\", alpha=\"0.15\", expect_size=\"10818560\"] \n  36 -> 37 [size =\"10818560\"]\n  36 -> 38 [size =\"10818560\"]\n  36 -> 39 [size =\"10818560\"]\n  36 -> 41 [size =\"10818560\"]\n  36 -> 42 [size =\"10818560\"]\n  36 -> 43 [size =\"10818560\"]\n  37 [size=\"146025813\", alpha=\"0.01\", expect_size=\"43807744\"] \n  37 -> 45 [size =\"43807744\"]\n  37 -> 48 [size =\"43807744\"]\n  38 [size=\"64324267\", alpha=\"0.17\", expect_size=\"19297280\"] \n  38 -> 47 [size =\"19297280\"]\n  38 -> 48 [size =\"19297280\"]\n  39 [size=\"39963307\", alpha=\"0.06\", expect_size=\"11988992\"] \n  39 -> 47 [size =\"11988992\"]\n  39 -> 48 [size =\"11988992\"]\n  39 -> 50 [size =\"11988992\"]\n  40 [size=\"151241387\", alpha=\"0.11\", expect_size=\"45372416\"] \n  40 -> 45 [size =\"45372416\"]\n  40 -> 46 [size =\"45372416\"]\n  40 -> 47 [size =\"45372416\"]\n  40 -> 49 [size =\"45372416\"]\n  40 -> 50 [size =\"45372416\"]\n  41 [size=\"168628907\", alpha=\"0.15\", expect_size=\"50588672\"] \n  41 -> 47 [size =\"50588672\"]\n  41 -> 48 [size =\"50588672\"]\n  42 [size=\"65078613\", alpha=\"0.18\", expect_size=\"19523584\"] \n  42 -> 47 [size =\"19523584\"]\n  42 -> 48 [size =\"19523584\"]\n  43 [size=\"97863680\", alpha=\"0.10\", expect_size=\"29359104\"] \n  43 -> 47 [size =\"29359104\"]\n  43 -> 48 [size =\"29359104\"]\n  44 [size=\"157184000\", alpha=\"0.19\", expect_size=\"47155200\"] \n  44 -> 46 [size =\"47155200\"]\n  44 -> 47 [size =\"47155200\"]\n  44 -> 48 [size =\"47155200\"]\n  44 -> 50 [size =\"47155200\"]\n  45 [size=\"141755733\", alpha=\"0.16\", expect_size=\"42526720\"] \n  46 [size=\"165935787\", alpha=\"0.10\", expect_size=\"49780736\"] \n  47 [size=\"125153280\", alpha=\"0.13\", expect_size=\"37545984\"] \n  48 [size=\"134638933\", alpha=\"0.19\", expect_size=\"40391680\"] \n  49 [size=\"111008427\", alpha=\"0.18\", expect_size=\"33302528\"] \n  50 [size=\"154982400\", alpha=\"0.12\", expect_size=\"46494720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.325.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107520000\", alpha=\"0.06\", expect_size=\"32256000\"] \n  1 -> 11 [size =\"32256000\"]\n  1 -> 12 [size =\"32256000\"]\n  2 [size=\"141800107\", alpha=\"0.15\", expect_size=\"42540032\"] \n  2 -> 9 [size =\"42540032\"]\n  2 -> 10 [size =\"42540032\"]\n  3 [size=\"173424640\", alpha=\"0.18\", expect_size=\"52027392\"] \n  3 -> 8 [size =\"52027392\"]\n  3 -> 9 [size =\"52027392\"]\n  3 -> 12 [size =\"52027392\"]\n  4 [size=\"131594240\", alpha=\"0.14\", expect_size=\"39478272\"] \n  4 -> 8 [size =\"39478272\"]\n  4 -> 10 [size =\"39478272\"]\n  4 -> 11 [size =\"39478272\"]\n  4 -> 12 [size =\"39478272\"]\n  4 -> 13 [size =\"39478272\"]\n  5 [size=\"165481813\", alpha=\"0.20\", expect_size=\"49644544\"] \n  5 -> 11 [size =\"49644544\"]\n  5 -> 13 [size =\"49644544\"]\n  6 [size=\"142363307\", alpha=\"0.17\", expect_size=\"42708992\"] \n  6 -> 8 [size =\"42708992\"]\n  6 -> 9 [size =\"42708992\"]\n  6 -> 10 [size =\"42708992\"]\n  6 -> 13 [size =\"42708992\"]\n  7 [size=\"90630827\", alpha=\"0.08\", expect_size=\"27189248\"] \n  7 -> 8 [size =\"27189248\"]\n  7 -> 10 [size =\"27189248\"]\n  7 -> 11 [size =\"27189248\"]\n  7 -> 13 [size =\"27189248\"]\n  8 [size=\"45871787\", alpha=\"0.01\", expect_size=\"13761536\"] \n  8 -> 16 [size =\"13761536\"]\n  8 -> 17 [size =\"13761536\"]\n  8 -> 20 [size =\"13761536\"]\n  9 [size=\"82940587\", alpha=\"0.14\", expect_size=\"24882176\"] \n  9 -> 14 [size =\"24882176\"]\n  10 [size=\"146640213\", alpha=\"0.06\", expect_size=\"43992064\"] \n  10 -> 14 [size =\"43992064\"]\n  10 -> 15 [size =\"43992064\"]\n  10 -> 17 [size =\"43992064\"]\n  10 -> 18 [size =\"43992064\"]\n  10 -> 19 [size =\"43992064\"]\n  11 [size=\"126266027\", alpha=\"0.09\", expect_size=\"37879808\"] \n  11 -> 14 [size =\"37879808\"]\n  11 -> 15 [size =\"37879808\"]\n  11 -> 17 [size =\"37879808\"]\n  11 -> 18 [size =\"37879808\"]\n  11 -> 19 [size =\"37879808\"]\n  11 -> 20 [size =\"37879808\"]\n  12 [size=\"19083947\", alpha=\"0.12\", expect_size=\"5725184\"] \n  12 -> 14 [size =\"5725184\"]\n  12 -> 15 [size =\"5725184\"]\n  12 -> 16 [size =\"5725184\"]\n  12 -> 17 [size =\"5725184\"]\n  12 -> 18 [size =\"5725184\"]\n  12 -> 19 [size =\"5725184\"]\n  13 [size=\"138676907\", alpha=\"0.02\", expect_size=\"41603072\"] \n  13 -> 16 [size =\"41603072\"]\n  14 [size=\"123944960\", alpha=\"0.20\", expect_size=\"37183488\"] \n  15 [size=\"73902080\", alpha=\"0.19\", expect_size=\"22170624\"] \n  15 -> 23 [size =\"22170624\"]\n  16 [size=\"73656320\", alpha=\"0.03\", expect_size=\"22096896\"] \n  16 -> 21 [size =\"22096896\"]\n  16 -> 22 [size =\"22096896\"]\n  16 -> 27 [size =\"22096896\"]\n  17 [size=\"48189440\", alpha=\"0.10\", expect_size=\"14456832\"] \n  17 -> 21 [size =\"14456832\"]\n  17 -> 24 [size =\"14456832\"]\n  17 -> 25 [size =\"14456832\"]\n  17 -> 26 [size =\"14456832\"]\n  18 [size=\"111243947\", alpha=\"0.02\", expect_size=\"33373184\"] \n  18 -> 22 [size =\"33373184\"]\n  18 -> 23 [size =\"33373184\"]\n  18 -> 24 [size =\"33373184\"]\n  18 -> 25 [size =\"33373184\"]\n  19 [size=\"118568960\", alpha=\"0.09\", expect_size=\"35570688\"] \n  19 -> 22 [size =\"35570688\"]\n  19 -> 25 [size =\"35570688\"]\n  20 [size=\"73512960\", alpha=\"0.16\", expect_size=\"22053888\"] \n  20 -> 25 [size =\"22053888\"]\n  21 [size=\"122412373\", alpha=\"0.15\", expect_size=\"36723712\"] \n  21 -> 29 [size =\"36723712\"]\n  21 -> 31 [size =\"36723712\"]\n  21 -> 33 [size =\"36723712\"]\n  22 [size=\"33518933\", alpha=\"0.10\", expect_size=\"10055680\"] \n  22 -> 28 [size =\"10055680\"]\n  22 -> 31 [size =\"10055680\"]\n  22 -> 32 [size =\"10055680\"]\n  23 [size=\"128020480\", alpha=\"0.04\", expect_size=\"38406144\"] \n  23 -> 31 [size =\"38406144\"]\n  23 -> 33 [size =\"38406144\"]\n  24 [size=\"140881920\", alpha=\"0.13\", expect_size=\"42264576\"] \n  24 -> 30 [size =\"42264576\"]\n  25 [size=\"138233173\", alpha=\"0.01\", expect_size=\"41469952\"] \n  25 -> 30 [size =\"41469952\"]\n  25 -> 33 [size =\"41469952\"]\n  26 [size=\"133983573\", alpha=\"0.05\", expect_size=\"40195072\"] \n  26 -> 28 [size =\"40195072\"]\n  26 -> 29 [size =\"40195072\"]\n  27 [size=\"154586453\", alpha=\"0.18\", expect_size=\"46375936\"] \n  27 -> 28 [size =\"46375936\"]\n  27 -> 29 [size =\"46375936\"]\n  28 [size=\"78636373\", alpha=\"0.14\", expect_size=\"23590912\"] \n  28 -> 34 [size =\"23590912\"]\n  28 -> 36 [size =\"23590912\"]\n  28 -> 38 [size =\"23590912\"]\n  29 [size=\"91443200\", alpha=\"0.19\", expect_size=\"27432960\"] \n  30 [size=\"161877333\", alpha=\"0.01\", expect_size=\"48563200\"] \n  30 -> 35 [size =\"48563200\"]\n  30 -> 36 [size =\"48563200\"]\n  30 -> 39 [size =\"48563200\"]\n  31 [size=\"133109760\", alpha=\"0.16\", expect_size=\"39932928\"] \n  31 -> 36 [size =\"39932928\"]\n  31 -> 39 [size =\"39932928\"]\n  32 [size=\"95184213\", alpha=\"0.11\", expect_size=\"28555264\"] \n  32 -> 36 [size =\"28555264\"]\n  33 [size=\"172431360\", alpha=\"0.02\", expect_size=\"51729408\"] \n  33 -> 37 [size =\"51729408\"]\n  34 [size=\"48936960\", alpha=\"0.06\", expect_size=\"14681088\"] \n  34 -> 41 [size =\"14681088\"]\n  35 [size=\"153395200\", alpha=\"0.18\", expect_size=\"46018560\"] \n  35 -> 41 [size =\"46018560\"]\n  35 -> 42 [size =\"46018560\"]\n  35 -> 43 [size =\"46018560\"]\n  35 -> 44 [size =\"46018560\"]\n  35 -> 45 [size =\"46018560\"]\n  36 [size=\"161949013\", alpha=\"0.17\", expect_size=\"48584704\"] \n  36 -> 43 [size =\"48584704\"]\n  36 -> 44 [size =\"48584704\"]\n  37 [size=\"42209280\", alpha=\"0.19\", expect_size=\"12662784\"] \n  37 -> 40 [size =\"12662784\"]\n  37 -> 42 [size =\"12662784\"]\n  37 -> 44 [size =\"12662784\"]\n  37 -> 46 [size =\"12662784\"]\n  38 [size=\"24610133\", alpha=\"0.14\", expect_size=\"7383040\"] \n  38 -> 40 [size =\"7383040\"]\n  38 -> 45 [size =\"7383040\"]\n  39 [size=\"137553920\", alpha=\"0.01\", expect_size=\"41266176\"] \n  39 -> 43 [size =\"41266176\"]\n  39 -> 46 [size =\"41266176\"]\n  40 [size=\"131928747\", alpha=\"0.15\", expect_size=\"39578624\"] \n  40 -> 48 [size =\"39578624\"]\n  40 -> 49 [size =\"39578624\"]\n  41 [size=\"136908800\", alpha=\"0.03\", expect_size=\"41072640\"] \n  41 -> 49 [size =\"41072640\"]\n  41 -> 50 [size =\"41072640\"]\n  42 [size=\"103990613\", alpha=\"0.13\", expect_size=\"31197184\"] \n  42 -> 50 [size =\"31197184\"]\n  43 [size=\"34785280\", alpha=\"0.17\", expect_size=\"10435584\"] \n  43 -> 47 [size =\"10435584\"]\n  43 -> 48 [size =\"10435584\"]\n  43 -> 50 [size =\"10435584\"]\n  44 [size=\"50500267\", alpha=\"0.17\", expect_size=\"15150080\"] \n  44 -> 47 [size =\"15150080\"]\n  44 -> 48 [size =\"15150080\"]\n  44 -> 50 [size =\"15150080\"]\n  45 [size=\"100311040\", alpha=\"0.11\", expect_size=\"30093312\"] \n  45 -> 48 [size =\"30093312\"]\n  45 -> 49 [size =\"30093312\"]\n  46 [size=\"83367253\", alpha=\"0.01\", expect_size=\"25010176\"] \n  46 -> 48 [size =\"25010176\"]\n  47 [size=\"55845547\", alpha=\"0.08\", expect_size=\"16753664\"] \n  48 [size=\"48462507\", alpha=\"0.03\", expect_size=\"14538752\"] \n  49 [size=\"154985813\", alpha=\"0.08\", expect_size=\"46495744\"] \n  50 [size=\"161935360\", alpha=\"0.11\", expect_size=\"48580608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.326.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85959680\", alpha=\"0.01\", expect_size=\"34383872\"] \n  1 -> 5 [size =\"34383872\"]\n  1 -> 6 [size =\"34383872\"]\n  2 [size=\"29698560\", alpha=\"0.08\", expect_size=\"11879424\"] \n  2 -> 7 [size =\"11879424\"]\n  3 [size=\"49141760\", alpha=\"0.07\", expect_size=\"19656704\"] \n  3 -> 6 [size =\"19656704\"]\n  3 -> 7 [size =\"19656704\"]\n  4 [size=\"52096000\", alpha=\"0.18\", expect_size=\"20838400\"] \n  4 -> 5 [size =\"20838400\"]\n  4 -> 6 [size =\"20838400\"]\n  5 [size=\"100958720\", alpha=\"0.04\", expect_size=\"40383488\"] \n  5 -> 9 [size =\"40383488\"]\n  6 [size=\"36387840\", alpha=\"0.13\", expect_size=\"14555136\"] \n  6 -> 8 [size =\"14555136\"]\n  6 -> 9 [size =\"14555136\"]\n  7 [size=\"59153920\", alpha=\"0.10\", expect_size=\"23661568\"] \n  7 -> 8 [size =\"23661568\"]\n  8 [size=\"14963200\", alpha=\"0.17\", expect_size=\"5985280\"] \n  8 -> 10 [size =\"5985280\"]\n  8 -> 11 [size =\"5985280\"]\n  9 [size=\"72506880\", alpha=\"0.03\", expect_size=\"29002752\"] \n  9 -> 10 [size =\"29002752\"]\n  9 -> 11 [size =\"29002752\"]\n  9 -> 12 [size =\"29002752\"]\n  10 [size=\"45301760\", alpha=\"0.03\", expect_size=\"18120704\"] \n  10 -> 13 [size =\"18120704\"]\n  11 [size=\"116500480\", alpha=\"0.02\", expect_size=\"46600192\"] \n  11 -> 13 [size =\"46600192\"]\n  11 -> 14 [size =\"46600192\"]\n  12 [size=\"123230720\", alpha=\"0.08\", expect_size=\"49292288\"] \n  12 -> 14 [size =\"49292288\"]\n  13 [size=\"53493760\", alpha=\"0.10\", expect_size=\"21397504\"] \n  13 -> 15 [size =\"21397504\"]\n  13 -> 16 [size =\"21397504\"]\n  14 [size=\"93168640\", alpha=\"0.10\", expect_size=\"37267456\"] \n  15 [size=\"81692160\", alpha=\"0.05\", expect_size=\"32676864\"] \n  15 -> 17 [size =\"32676864\"]\n  15 -> 18 [size =\"32676864\"]\n  15 -> 19 [size =\"32676864\"]\n  16 [size=\"103055360\", alpha=\"0.18\", expect_size=\"41222144\"] \n  16 -> 17 [size =\"41222144\"]\n  16 -> 18 [size =\"41222144\"]\n  17 [size=\"61514240\", alpha=\"0.16\", expect_size=\"24605696\"] \n  18 [size=\"119636480\", alpha=\"0.04\", expect_size=\"47854592\"] \n  18 -> 20 [size =\"47854592\"]\n  18 -> 21 [size =\"47854592\"]\n  19 [size=\"103751680\", alpha=\"0.00\", expect_size=\"41500672\"] \n  20 [size=\"120888320\", alpha=\"0.02\", expect_size=\"48355328\"] \n  20 -> 22 [size =\"48355328\"]\n  21 [size=\"22184960\", alpha=\"0.17\", expect_size=\"8873984\"] \n  21 -> 22 [size =\"8873984\"]\n  21 -> 23 [size =\"8873984\"]\n  22 [size=\"31895040\", alpha=\"0.14\", expect_size=\"12758016\"] \n  22 -> 24 [size =\"12758016\"]\n  22 -> 25 [size =\"12758016\"]\n  23 [size=\"78740480\", alpha=\"0.18\", expect_size=\"31496192\"] \n  23 -> 24 [size =\"31496192\"]\n  23 -> 25 [size =\"31496192\"]\n  24 [size=\"20341760\", alpha=\"0.08\", expect_size=\"8136704\"] \n  24 -> 27 [size =\"8136704\"]\n  24 -> 28 [size =\"8136704\"]\n  24 -> 29 [size =\"8136704\"]\n  25 [size=\"76951040\", alpha=\"0.13\", expect_size=\"30780416\"] \n  25 -> 26 [size =\"30780416\"]\n  26 [size=\"108520960\", alpha=\"0.02\", expect_size=\"43408384\"] \n  26 -> 30 [size =\"43408384\"]\n  27 [size=\"94576640\", alpha=\"0.19\", expect_size=\"37830656\"] \n  27 -> 32 [size =\"37830656\"]\n  28 [size=\"70725120\", alpha=\"0.16\", expect_size=\"28290048\"] \n  29 [size=\"93486080\", alpha=\"0.03\", expect_size=\"37394432\"] \n  29 -> 31 [size =\"37394432\"]\n  30 [size=\"93626880\", alpha=\"0.15\", expect_size=\"37450752\"] \n  31 [size=\"106964480\", alpha=\"0.06\", expect_size=\"42785792\"] \n  31 -> 33 [size =\"42785792\"]\n  31 -> 34 [size =\"42785792\"]\n  32 [size=\"88381440\", alpha=\"0.14\", expect_size=\"35352576\"] \n  32 -> 33 [size =\"35352576\"]\n  33 [size=\"54474240\", alpha=\"0.10\", expect_size=\"21789696\"] \n  33 -> 35 [size =\"21789696\"]\n  33 -> 36 [size =\"21789696\"]\n  34 [size=\"41280000\", alpha=\"0.19\", expect_size=\"16512000\"] \n  34 -> 35 [size =\"16512000\"]\n  35 [size=\"87782400\", alpha=\"0.00\", expect_size=\"35112960\"] \n  35 -> 38 [size =\"35112960\"]\n  36 [size=\"45911040\", alpha=\"0.16\", expect_size=\"18364416\"] \n  36 -> 37 [size =\"18364416\"]\n  37 [size=\"56908800\", alpha=\"0.01\", expect_size=\"22763520\"] \n  37 -> 39 [size =\"22763520\"]\n  37 -> 40 [size =\"22763520\"]\n  38 [size=\"48862720\", alpha=\"0.03\", expect_size=\"19545088\"] \n  38 -> 39 [size =\"19545088\"]\n  38 -> 40 [size =\"19545088\"]\n  39 [size=\"23626240\", alpha=\"0.01\", expect_size=\"9450496\"] \n  39 -> 41 [size =\"9450496\"]\n  39 -> 42 [size =\"9450496\"]\n  40 [size=\"40599040\", alpha=\"0.17\", expect_size=\"16239616\"] \n  40 -> 41 [size =\"16239616\"]\n  40 -> 42 [size =\"16239616\"]\n  41 [size=\"14016000\", alpha=\"0.14\", expect_size=\"5606400\"] \n  41 -> 44 [size =\"5606400\"]\n  42 [size=\"47270400\", alpha=\"0.15\", expect_size=\"18908160\"] \n  42 -> 43 [size =\"18908160\"]\n  42 -> 44 [size =\"18908160\"]\n  42 -> 45 [size =\"18908160\"]\n  43 [size=\"14553600\", alpha=\"0.07\", expect_size=\"5821440\"] \n  43 -> 46 [size =\"5821440\"]\n  44 [size=\"74224640\", alpha=\"0.00\", expect_size=\"29689856\"] \n  44 -> 46 [size =\"29689856\"]\n  44 -> 47 [size =\"29689856\"]\n  45 [size=\"70410240\", alpha=\"0.04\", expect_size=\"28164096\"] \n  45 -> 46 [size =\"28164096\"]\n  45 -> 47 [size =\"28164096\"]\n  46 [size=\"71697920\", alpha=\"0.04\", expect_size=\"28679168\"] \n  46 -> 48 [size =\"28679168\"]\n  47 [size=\"50076160\", alpha=\"0.18\", expect_size=\"20030464\"] \n  47 -> 48 [size =\"20030464\"]\n  48 [size=\"53949440\", alpha=\"0.02\", expect_size=\"21579776\"] \n  48 -> 49 [size =\"21579776\"]\n  48 -> 50 [size =\"21579776\"]\n  49 [size=\"71887360\", alpha=\"0.19\", expect_size=\"28754944\"] \n  50 [size=\"76567040\", alpha=\"0.10\", expect_size=\"30626816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.327.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124976640\", alpha=\"0.18\", expect_size=\"49990656\"] \n  1 -> 22 [size =\"49990656\"]\n  1 -> 23 [size =\"49990656\"]\n  1 -> 24 [size =\"49990656\"]\n  1 -> 28 [size =\"49990656\"]\n  1 -> 39 [size =\"49990656\"]\n  1 -> 43 [size =\"49990656\"]\n  1 -> 44 [size =\"49990656\"]\n  1 -> 45 [size =\"49990656\"]\n  1 -> 47 [size =\"49990656\"]\n  2 [size=\"77120000\", alpha=\"0.16\", expect_size=\"30848000\"] \n  2 -> 24 [size =\"30848000\"]\n  2 -> 35 [size =\"30848000\"]\n  2 -> 36 [size =\"30848000\"]\n  2 -> 39 [size =\"30848000\"]\n  2 -> 42 [size =\"30848000\"]\n  2 -> 43 [size =\"30848000\"]\n  3 [size=\"126832640\", alpha=\"0.09\", expect_size=\"50733056\"] \n  3 -> 20 [size =\"50733056\"]\n  3 -> 22 [size =\"50733056\"]\n  3 -> 24 [size =\"50733056\"]\n  3 -> 26 [size =\"50733056\"]\n  3 -> 28 [size =\"50733056\"]\n  3 -> 32 [size =\"50733056\"]\n  3 -> 41 [size =\"50733056\"]\n  3 -> 44 [size =\"50733056\"]\n  3 -> 47 [size =\"50733056\"]\n  4 [size=\"104304640\", alpha=\"0.19\", expect_size=\"41721856\"] \n  4 -> 20 [size =\"41721856\"]\n  4 -> 22 [size =\"41721856\"]\n  4 -> 27 [size =\"41721856\"]\n  4 -> 35 [size =\"41721856\"]\n  4 -> 37 [size =\"41721856\"]\n  4 -> 39 [size =\"41721856\"]\n  4 -> 40 [size =\"41721856\"]\n  4 -> 41 [size =\"41721856\"]\n  5 [size=\"51074560\", alpha=\"0.06\", expect_size=\"20429824\"] \n  5 -> 20 [size =\"20429824\"]\n  5 -> 25 [size =\"20429824\"]\n  5 -> 26 [size =\"20429824\"]\n  5 -> 29 [size =\"20429824\"]\n  5 -> 32 [size =\"20429824\"]\n  5 -> 39 [size =\"20429824\"]\n  5 -> 42 [size =\"20429824\"]\n  5 -> 47 [size =\"20429824\"]\n  5 -> 48 [size =\"20429824\"]\n  6 [size=\"93017600\", alpha=\"0.15\", expect_size=\"37207040\"] \n  6 -> 23 [size =\"37207040\"]\n  6 -> 24 [size =\"37207040\"]\n  6 -> 26 [size =\"37207040\"]\n  6 -> 28 [size =\"37207040\"]\n  6 -> 31 [size =\"37207040\"]\n  6 -> 33 [size =\"37207040\"]\n  6 -> 37 [size =\"37207040\"]\n  6 -> 43 [size =\"37207040\"]\n  6 -> 47 [size =\"37207040\"]\n  7 [size=\"37985280\", alpha=\"0.06\", expect_size=\"15194112\"] \n  7 -> 23 [size =\"15194112\"]\n  7 -> 26 [size =\"15194112\"]\n  7 -> 28 [size =\"15194112\"]\n  7 -> 29 [size =\"15194112\"]\n  7 -> 33 [size =\"15194112\"]\n  7 -> 36 [size =\"15194112\"]\n  7 -> 38 [size =\"15194112\"]\n  7 -> 41 [size =\"15194112\"]\n  7 -> 42 [size =\"15194112\"]\n  7 -> 43 [size =\"15194112\"]\n  7 -> 44 [size =\"15194112\"]\n  7 -> 46 [size =\"15194112\"]\n  8 [size=\"22745600\", alpha=\"0.16\", expect_size=\"9098240\"] \n  8 -> 24 [size =\"9098240\"]\n  8 -> 25 [size =\"9098240\"]\n  8 -> 26 [size =\"9098240\"]\n  8 -> 28 [size =\"9098240\"]\n  8 -> 29 [size =\"9098240\"]\n  8 -> 30 [size =\"9098240\"]\n  8 -> 33 [size =\"9098240\"]\n  8 -> 37 [size =\"9098240\"]\n  8 -> 38 [size =\"9098240\"]\n  8 -> 43 [size =\"9098240\"]\n  8 -> 44 [size =\"9098240\"]\n  8 -> 46 [size =\"9098240\"]\n  8 -> 47 [size =\"9098240\"]\n  9 [size=\"92710400\", alpha=\"0.19\", expect_size=\"37084160\"] \n  9 -> 28 [size =\"37084160\"]\n  9 -> 32 [size =\"37084160\"]\n  9 -> 33 [size =\"37084160\"]\n  9 -> 35 [size =\"37084160\"]\n  9 -> 42 [size =\"37084160\"]\n  9 -> 44 [size =\"37084160\"]\n  10 [size=\"17441280\", alpha=\"0.07\", expect_size=\"6976512\"] \n  10 -> 23 [size =\"6976512\"]\n  10 -> 25 [size =\"6976512\"]\n  10 -> 27 [size =\"6976512\"]\n  10 -> 28 [size =\"6976512\"]\n  10 -> 43 [size =\"6976512\"]\n  10 -> 44 [size =\"6976512\"]\n  10 -> 47 [size =\"6976512\"]\n  11 [size=\"78146560\", alpha=\"0.20\", expect_size=\"31258624\"] \n  11 -> 24 [size =\"31258624\"]\n  11 -> 25 [size =\"31258624\"]\n  11 -> 26 [size =\"31258624\"]\n  11 -> 28 [size =\"31258624\"]\n  11 -> 29 [size =\"31258624\"]\n  11 -> 33 [size =\"31258624\"]\n  11 -> 35 [size =\"31258624\"]\n  11 -> 37 [size =\"31258624\"]\n  11 -> 39 [size =\"31258624\"]\n  11 -> 43 [size =\"31258624\"]\n  11 -> 44 [size =\"31258624\"]\n  11 -> 45 [size =\"31258624\"]\n  11 -> 48 [size =\"31258624\"]\n  12 [size=\"65006080\", alpha=\"0.11\", expect_size=\"26002432\"] \n  12 -> 28 [size =\"26002432\"]\n  12 -> 37 [size =\"26002432\"]\n  12 -> 43 [size =\"26002432\"]\n  12 -> 44 [size =\"26002432\"]\n  13 [size=\"41108480\", alpha=\"0.08\", expect_size=\"16443392\"] \n  13 -> 20 [size =\"16443392\"]\n  13 -> 22 [size =\"16443392\"]\n  13 -> 24 [size =\"16443392\"]\n  13 -> 28 [size =\"16443392\"]\n  13 -> 43 [size =\"16443392\"]\n  13 -> 46 [size =\"16443392\"]\n  14 [size=\"93207040\", alpha=\"0.07\", expect_size=\"37282816\"] \n  14 -> 20 [size =\"37282816\"]\n  14 -> 21 [size =\"37282816\"]\n  14 -> 23 [size =\"37282816\"]\n  14 -> 24 [size =\"37282816\"]\n  14 -> 29 [size =\"37282816\"]\n  14 -> 42 [size =\"37282816\"]\n  14 -> 43 [size =\"37282816\"]\n  14 -> 45 [size =\"37282816\"]\n  14 -> 46 [size =\"37282816\"]\n  14 -> 47 [size =\"37282816\"]\n  15 [size=\"88762880\", alpha=\"0.10\", expect_size=\"35505152\"] \n  15 -> 20 [size =\"35505152\"]\n  15 -> 27 [size =\"35505152\"]\n  15 -> 28 [size =\"35505152\"]\n  15 -> 29 [size =\"35505152\"]\n  15 -> 31 [size =\"35505152\"]\n  15 -> 33 [size =\"35505152\"]\n  15 -> 39 [size =\"35505152\"]\n  15 -> 42 [size =\"35505152\"]\n  15 -> 43 [size =\"35505152\"]\n  16 [size=\"122731520\", alpha=\"0.17\", expect_size=\"49092608\"] \n  16 -> 22 [size =\"49092608\"]\n  16 -> 26 [size =\"49092608\"]\n  16 -> 28 [size =\"49092608\"]\n  16 -> 29 [size =\"49092608\"]\n  16 -> 30 [size =\"49092608\"]\n  16 -> 32 [size =\"49092608\"]\n  16 -> 39 [size =\"49092608\"]\n  16 -> 42 [size =\"49092608\"]\n  16 -> 47 [size =\"49092608\"]\n  17 [size=\"91686400\", alpha=\"0.03\", expect_size=\"36674560\"] \n  17 -> 24 [size =\"36674560\"]\n  17 -> 26 [size =\"36674560\"]\n  17 -> 29 [size =\"36674560\"]\n  17 -> 30 [size =\"36674560\"]\n  17 -> 35 [size =\"36674560\"]\n  17 -> 41 [size =\"36674560\"]\n  17 -> 47 [size =\"36674560\"]\n  18 [size=\"125440000\", alpha=\"0.08\", expect_size=\"50176000\"] \n  18 -> 24 [size =\"50176000\"]\n  18 -> 27 [size =\"50176000\"]\n  18 -> 29 [size =\"50176000\"]\n  18 -> 31 [size =\"50176000\"]\n  18 -> 37 [size =\"50176000\"]\n  18 -> 39 [size =\"50176000\"]\n  18 -> 41 [size =\"50176000\"]\n  18 -> 44 [size =\"50176000\"]\n  18 -> 47 [size =\"50176000\"]\n  19 [size=\"103403520\", alpha=\"0.14\", expect_size=\"41361408\"] \n  19 -> 32 [size =\"41361408\"]\n  19 -> 34 [size =\"41361408\"]\n  19 -> 37 [size =\"41361408\"]\n  19 -> 42 [size =\"41361408\"]\n  19 -> 44 [size =\"41361408\"]\n  19 -> 47 [size =\"41361408\"]\n  20 [size=\"97093120\", alpha=\"0.01\", expect_size=\"38837248\"] \n  20 -> 49 [size =\"38837248\"]\n  21 [size=\"18800640\", alpha=\"0.07\", expect_size=\"7520256\"] \n  21 -> 50 [size =\"7520256\"]\n  22 [size=\"16376320\", alpha=\"0.04\", expect_size=\"6550528\"] \n  23 [size=\"79173120\", alpha=\"0.00\", expect_size=\"31669248\"] \n  23 -> 49 [size =\"31669248\"]\n  24 [size=\"125342720\", alpha=\"0.12\", expect_size=\"50137088\"] \n  25 [size=\"50063360\", alpha=\"0.10\", expect_size=\"20025344\"] \n  26 [size=\"108812800\", alpha=\"0.02\", expect_size=\"43525120\"] \n  26 -> 49 [size =\"43525120\"]\n  26 -> 50 [size =\"43525120\"]\n  27 [size=\"88898560\", alpha=\"0.18\", expect_size=\"35559424\"] \n  27 -> 50 [size =\"35559424\"]\n  28 [size=\"106055680\", alpha=\"0.15\", expect_size=\"42422272\"] \n  28 -> 50 [size =\"42422272\"]\n  29 [size=\"35978240\", alpha=\"0.06\", expect_size=\"14391296\"] \n  29 -> 49 [size =\"14391296\"]\n  30 [size=\"116544000\", alpha=\"0.18\", expect_size=\"46617600\"] \n  30 -> 49 [size =\"46617600\"]\n  31 [size=\"121259520\", alpha=\"0.01\", expect_size=\"48503808\"] \n  32 [size=\"44034560\", alpha=\"0.12\", expect_size=\"17613824\"] \n  33 [size=\"66844160\", alpha=\"0.09\", expect_size=\"26737664\"] \n  34 [size=\"67489280\", alpha=\"0.19\", expect_size=\"26995712\"] \n  35 [size=\"19205120\", alpha=\"0.01\", expect_size=\"7682048\"] \n  35 -> 49 [size =\"7682048\"]\n  36 [size=\"77923840\", alpha=\"0.03\", expect_size=\"31169536\"] \n  36 -> 49 [size =\"31169536\"]\n  37 [size=\"87626240\", alpha=\"0.17\", expect_size=\"35050496\"] \n  37 -> 49 [size =\"35050496\"]\n  38 [size=\"73190400\", alpha=\"0.11\", expect_size=\"29276160\"] \n  39 [size=\"44257280\", alpha=\"0.00\", expect_size=\"17702912\"] \n  40 [size=\"80430080\", alpha=\"0.03\", expect_size=\"32172032\"] \n  40 -> 49 [size =\"32172032\"]\n  41 [size=\"68075520\", alpha=\"0.08\", expect_size=\"27230208\"] \n  42 [size=\"72235520\", alpha=\"0.12\", expect_size=\"28894208\"] \n  42 -> 49 [size =\"28894208\"]\n  43 [size=\"26846720\", alpha=\"0.08\", expect_size=\"10738688\"] \n  44 [size=\"77875200\", alpha=\"0.03\", expect_size=\"31150080\"] \n  45 [size=\"69491200\", alpha=\"0.05\", expect_size=\"27796480\"] \n  46 [size=\"77350400\", alpha=\"0.02\", expect_size=\"30940160\"] \n  47 [size=\"93120000\", alpha=\"0.12\", expect_size=\"37248000\"] \n  48 [size=\"77409280\", alpha=\"0.19\", expect_size=\"30963712\"] \n  48 -> 49 [size =\"30963712\"]\n  49 [size=\"24591360\", alpha=\"0.09\", expect_size=\"9836544\"] \n  50 [size=\"24960000\", alpha=\"0.16\", expect_size=\"9984000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.328.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19100160\", alpha=\"0.15\", expect_size=\"7640064\"] \n  1 -> 3 [size =\"7640064\"]\n  1 -> 5 [size =\"7640064\"]\n  2 [size=\"43717120\", alpha=\"0.10\", expect_size=\"17486848\"] \n  2 -> 4 [size =\"17486848\"]\n  2 -> 5 [size =\"17486848\"]\n  3 [size=\"25630720\", alpha=\"0.16\", expect_size=\"10252288\"] \n  3 -> 7 [size =\"10252288\"]\n  4 [size=\"110837760\", alpha=\"0.18\", expect_size=\"44335104\"] \n  4 -> 6 [size =\"44335104\"]\n  5 [size=\"113077760\", alpha=\"0.04\", expect_size=\"45231104\"] \n  5 -> 6 [size =\"45231104\"]\n  6 [size=\"131056640\", alpha=\"0.07\", expect_size=\"52422656\"] \n  6 -> 8 [size =\"52422656\"]\n  6 -> 9 [size =\"52422656\"]\n  7 [size=\"59046400\", alpha=\"0.18\", expect_size=\"23618560\"] \n  7 -> 8 [size =\"23618560\"]\n  8 [size=\"69445120\", alpha=\"0.04\", expect_size=\"27778048\"] \n  8 -> 11 [size =\"27778048\"]\n  9 [size=\"130396160\", alpha=\"0.05\", expect_size=\"52158464\"] \n  9 -> 10 [size =\"52158464\"]\n  10 [size=\"33420800\", alpha=\"0.02\", expect_size=\"13368320\"] \n  10 -> 12 [size =\"13368320\"]\n  11 [size=\"62387200\", alpha=\"0.14\", expect_size=\"24954880\"] \n  11 -> 12 [size =\"24954880\"]\n  11 -> 13 [size =\"24954880\"]\n  12 [size=\"32939520\", alpha=\"0.16\", expect_size=\"13175808\"] \n  12 -> 15 [size =\"13175808\"]\n  13 [size=\"91911680\", alpha=\"0.02\", expect_size=\"36764672\"] \n  13 -> 14 [size =\"36764672\"]\n  14 [size=\"68861440\", alpha=\"0.11\", expect_size=\"27544576\"] \n  14 -> 17 [size =\"27544576\"]\n  15 [size=\"57369600\", alpha=\"0.06\", expect_size=\"22947840\"] \n  15 -> 16 [size =\"22947840\"]\n  15 -> 17 [size =\"22947840\"]\n  16 [size=\"78428160\", alpha=\"0.10\", expect_size=\"31371264\"] \n  16 -> 18 [size =\"31371264\"]\n  16 -> 19 [size =\"31371264\"]\n  17 [size=\"116800000\", alpha=\"0.09\", expect_size=\"46720000\"] \n  17 -> 18 [size =\"46720000\"]\n  17 -> 19 [size =\"46720000\"]\n  18 [size=\"106987520\", alpha=\"0.18\", expect_size=\"42795008\"] \n  18 -> 20 [size =\"42795008\"]\n  18 -> 21 [size =\"42795008\"]\n  19 [size=\"127825920\", alpha=\"0.13\", expect_size=\"51130368\"] \n  20 [size=\"40844800\", alpha=\"0.17\", expect_size=\"16337920\"] \n  21 [size=\"53603840\", alpha=\"0.01\", expect_size=\"21441536\"] \n  21 -> 22 [size =\"21441536\"]\n  21 -> 23 [size =\"21441536\"]\n  22 [size=\"15831040\", alpha=\"0.10\", expect_size=\"6332416\"] \n  22 -> 24 [size =\"6332416\"]\n  23 [size=\"108047360\", alpha=\"0.02\", expect_size=\"43218944\"] \n  23 -> 24 [size =\"43218944\"]\n  23 -> 25 [size =\"43218944\"]\n  23 -> 26 [size =\"43218944\"]\n  24 [size=\"118993920\", alpha=\"0.10\", expect_size=\"47597568\"] \n  24 -> 27 [size =\"47597568\"]\n  24 -> 29 [size =\"47597568\"]\n  25 [size=\"63664640\", alpha=\"0.15\", expect_size=\"25465856\"] \n  25 -> 28 [size =\"25465856\"]\n  25 -> 29 [size =\"25465856\"]\n  26 [size=\"99965440\", alpha=\"0.00\", expect_size=\"39986176\"] \n  26 -> 28 [size =\"39986176\"]\n  27 [size=\"41297920\", alpha=\"0.13\", expect_size=\"16519168\"] \n  27 -> 30 [size =\"16519168\"]\n  28 [size=\"97280000\", alpha=\"0.16\", expect_size=\"38912000\"] \n  28 -> 31 [size =\"38912000\"]\n  29 [size=\"86131200\", alpha=\"0.18\", expect_size=\"34452480\"] \n  30 [size=\"47070720\", alpha=\"0.04\", expect_size=\"18828288\"] \n  30 -> 32 [size =\"18828288\"]\n  30 -> 33 [size =\"18828288\"]\n  31 [size=\"27338240\", alpha=\"0.18\", expect_size=\"10935296\"] \n  31 -> 32 [size =\"10935296\"]\n  32 [size=\"32931840\", alpha=\"0.16\", expect_size=\"13172736\"] \n  32 -> 35 [size =\"13172736\"]\n  33 [size=\"94458880\", alpha=\"0.07\", expect_size=\"37783552\"] \n  33 -> 34 [size =\"37783552\"]\n  34 [size=\"106483200\", alpha=\"0.07\", expect_size=\"42593280\"] \n  34 -> 38 [size =\"42593280\"]\n  35 [size=\"48768000\", alpha=\"0.15\", expect_size=\"19507200\"] \n  35 -> 36 [size =\"19507200\"]\n  35 -> 37 [size =\"19507200\"]\n  35 -> 38 [size =\"19507200\"]\n  36 [size=\"21288960\", alpha=\"0.14\", expect_size=\"8515584\"] \n  36 -> 40 [size =\"8515584\"]\n  37 [size=\"24030720\", alpha=\"0.10\", expect_size=\"9612288\"] \n  38 [size=\"102935040\", alpha=\"0.02\", expect_size=\"41174016\"] \n  38 -> 39 [size =\"41174016\"]\n  39 [size=\"78410240\", alpha=\"0.14\", expect_size=\"31364096\"] \n  39 -> 41 [size =\"31364096\"]\n  40 [size=\"67745280\", alpha=\"0.11\", expect_size=\"27098112\"] \n  40 -> 42 [size =\"27098112\"]\n  41 [size=\"91258880\", alpha=\"0.14\", expect_size=\"36503552\"] \n  42 [size=\"80263680\", alpha=\"0.18\", expect_size=\"32105472\"] \n  42 -> 43 [size =\"32105472\"]\n  42 -> 44 [size =\"32105472\"]\n  43 [size=\"54594560\", alpha=\"0.18\", expect_size=\"21837824\"] \n  43 -> 45 [size =\"21837824\"]\n  43 -> 46 [size =\"21837824\"]\n  44 [size=\"93058560\", alpha=\"0.16\", expect_size=\"37223424\"] \n  45 [size=\"15482880\", alpha=\"0.03\", expect_size=\"6193152\"] \n  45 -> 47 [size =\"6193152\"]\n  45 -> 48 [size =\"6193152\"]\n  45 -> 49 [size =\"6193152\"]\n  46 [size=\"102059520\", alpha=\"0.04\", expect_size=\"40823808\"] \n  46 -> 48 [size =\"40823808\"]\n  46 -> 49 [size =\"40823808\"]\n  47 [size=\"64217600\", alpha=\"0.10\", expect_size=\"25687040\"] \n  47 -> 50 [size =\"25687040\"]\n  48 [size=\"123614720\", alpha=\"0.10\", expect_size=\"49445888\"] \n  49 [size=\"20236800\", alpha=\"0.03\", expect_size=\"8094720\"] \n  50 [size=\"104737280\", alpha=\"0.01\", expect_size=\"41894912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.329.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53483520\", alpha=\"0.18\", expect_size=\"16045056\"] \n  1 -> 26 [size =\"16045056\"]\n  1 -> 32 [size =\"16045056\"]\n  1 -> 37 [size =\"16045056\"]\n  1 -> 40 [size =\"16045056\"]\n  1 -> 50 [size =\"16045056\"]\n  2 [size=\"139584853\", alpha=\"0.15\", expect_size=\"41875456\"] \n  2 -> 26 [size =\"41875456\"]\n  2 -> 27 [size =\"41875456\"]\n  2 -> 31 [size =\"41875456\"]\n  2 -> 32 [size =\"41875456\"]\n  2 -> 38 [size =\"41875456\"]\n  2 -> 40 [size =\"41875456\"]\n  2 -> 42 [size =\"41875456\"]\n  2 -> 44 [size =\"41875456\"]\n  2 -> 45 [size =\"41875456\"]\n  2 -> 48 [size =\"41875456\"]\n  2 -> 50 [size =\"41875456\"]\n  3 [size=\"100000427\", alpha=\"0.08\", expect_size=\"30000128\"] \n  3 -> 26 [size =\"30000128\"]\n  3 -> 27 [size =\"30000128\"]\n  3 -> 31 [size =\"30000128\"]\n  3 -> 32 [size =\"30000128\"]\n  3 -> 35 [size =\"30000128\"]\n  3 -> 39 [size =\"30000128\"]\n  3 -> 40 [size =\"30000128\"]\n  4 [size=\"111151787\", alpha=\"0.14\", expect_size=\"33345536\"] \n  4 -> 31 [size =\"33345536\"]\n  4 -> 32 [size =\"33345536\"]\n  4 -> 34 [size =\"33345536\"]\n  4 -> 35 [size =\"33345536\"]\n  4 -> 36 [size =\"33345536\"]\n  4 -> 40 [size =\"33345536\"]\n  4 -> 40 [size =\"33345536\"]\n  4 -> 41 [size =\"33345536\"]\n  4 -> 45 [size =\"33345536\"]\n  4 -> 46 [size =\"33345536\"]\n  4 -> 47 [size =\"33345536\"]\n  5 [size=\"86094507\", alpha=\"0.17\", expect_size=\"25828352\"] \n  5 -> 24 [size =\"25828352\"]\n  5 -> 26 [size =\"25828352\"]\n  5 -> 32 [size =\"25828352\"]\n  5 -> 35 [size =\"25828352\"]\n  5 -> 40 [size =\"25828352\"]\n  5 -> 40 [size =\"25828352\"]\n  5 -> 41 [size =\"25828352\"]\n  5 -> 44 [size =\"25828352\"]\n  5 -> 46 [size =\"25828352\"]\n  6 [size=\"73144320\", alpha=\"0.20\", expect_size=\"21943296\"] \n  6 -> 26 [size =\"21943296\"]\n  6 -> 27 [size =\"21943296\"]\n  6 -> 31 [size =\"21943296\"]\n  6 -> 33 [size =\"21943296\"]\n  6 -> 35 [size =\"21943296\"]\n  6 -> 37 [size =\"21943296\"]\n  6 -> 39 [size =\"21943296\"]\n  6 -> 42 [size =\"21943296\"]\n  6 -> 44 [size =\"21943296\"]\n  6 -> 45 [size =\"21943296\"]\n  6 -> 46 [size =\"21943296\"]\n  6 -> 48 [size =\"21943296\"]\n  7 [size=\"23265280\", alpha=\"0.13\", expect_size=\"6979584\"] \n  7 -> 26 [size =\"6979584\"]\n  7 -> 27 [size =\"6979584\"]\n  7 -> 28 [size =\"6979584\"]\n  7 -> 35 [size =\"6979584\"]\n  7 -> 37 [size =\"6979584\"]\n  7 -> 44 [size =\"6979584\"]\n  7 -> 47 [size =\"6979584\"]\n  7 -> 50 [size =\"6979584\"]\n  8 [size=\"61992960\", alpha=\"0.04\", expect_size=\"18597888\"] \n  8 -> 27 [size =\"18597888\"]\n  8 -> 28 [size =\"18597888\"]\n  8 -> 32 [size =\"18597888\"]\n  8 -> 35 [size =\"18597888\"]\n  8 -> 36 [size =\"18597888\"]\n  8 -> 37 [size =\"18597888\"]\n  8 -> 45 [size =\"18597888\"]\n  8 -> 46 [size =\"18597888\"]\n  8 -> 49 [size =\"18597888\"]\n  8 -> 50 [size =\"18597888\"]\n  9 [size=\"122371413\", alpha=\"0.03\", expect_size=\"36711424\"] \n  9 -> 26 [size =\"36711424\"]\n  9 -> 28 [size =\"36711424\"]\n  9 -> 46 [size =\"36711424\"]\n  9 -> 48 [size =\"36711424\"]\n  9 -> 50 [size =\"36711424\"]\n  10 [size=\"130577067\", alpha=\"0.04\", expect_size=\"39173120\"] \n  10 -> 28 [size =\"39173120\"]\n  10 -> 31 [size =\"39173120\"]\n  10 -> 35 [size =\"39173120\"]\n  10 -> 39 [size =\"39173120\"]\n  10 -> 50 [size =\"39173120\"]\n  11 [size=\"59026773\", alpha=\"0.08\", expect_size=\"17708032\"] \n  11 -> 26 [size =\"17708032\"]\n  11 -> 27 [size =\"17708032\"]\n  11 -> 33 [size =\"17708032\"]\n  11 -> 34 [size =\"17708032\"]\n  11 -> 35 [size =\"17708032\"]\n  11 -> 37 [size =\"17708032\"]\n  11 -> 40 [size =\"17708032\"]\n  11 -> 45 [size =\"17708032\"]\n  11 -> 46 [size =\"17708032\"]\n  11 -> 49 [size =\"17708032\"]\n  11 -> 50 [size =\"17708032\"]\n  12 [size=\"40591360\", alpha=\"0.18\", expect_size=\"12177408\"] \n  12 -> 25 [size =\"12177408\"]\n  12 -> 28 [size =\"12177408\"]\n  12 -> 32 [size =\"12177408\"]\n  12 -> 33 [size =\"12177408\"]\n  12 -> 35 [size =\"12177408\"]\n  12 -> 45 [size =\"12177408\"]\n  12 -> 46 [size =\"12177408\"]\n  12 -> 50 [size =\"12177408\"]\n  13 [size=\"156525227\", alpha=\"0.14\", expect_size=\"46957568\"] \n  13 -> 27 [size =\"46957568\"]\n  13 -> 30 [size =\"46957568\"]\n  13 -> 31 [size =\"46957568\"]\n  13 -> 35 [size =\"46957568\"]\n  13 -> 35 [size =\"46957568\"]\n  13 -> 37 [size =\"46957568\"]\n  13 -> 41 [size =\"46957568\"]\n  13 -> 46 [size =\"46957568\"]\n  13 -> 49 [size =\"46957568\"]\n  13 -> 50 [size =\"46957568\"]\n  14 [size=\"62436693\", alpha=\"0.02\", expect_size=\"18731008\"] \n  14 -> 26 [size =\"18731008\"]\n  14 -> 27 [size =\"18731008\"]\n  14 -> 28 [size =\"18731008\"]\n  14 -> 29 [size =\"18731008\"]\n  14 -> 30 [size =\"18731008\"]\n  14 -> 31 [size =\"18731008\"]\n  14 -> 32 [size =\"18731008\"]\n  14 -> 35 [size =\"18731008\"]\n  14 -> 37 [size =\"18731008\"]\n  14 -> 44 [size =\"18731008\"]\n  14 -> 48 [size =\"18731008\"]\n  14 -> 50 [size =\"18731008\"]\n  15 [size=\"169908907\", alpha=\"0.05\", expect_size=\"50972672\"] \n  15 -> 26 [size =\"50972672\"]\n  15 -> 27 [size =\"50972672\"]\n  15 -> 31 [size =\"50972672\"]\n  15 -> 32 [size =\"50972672\"]\n  15 -> 38 [size =\"50972672\"]\n  15 -> 41 [size =\"50972672\"]\n  15 -> 46 [size =\"50972672\"]\n  15 -> 47 [size =\"50972672\"]\n  15 -> 48 [size =\"50972672\"]\n  15 -> 50 [size =\"50972672\"]\n  16 [size=\"149374293\", alpha=\"0.14\", expect_size=\"44812288\"] \n  16 -> 25 [size =\"44812288\"]\n  16 -> 26 [size =\"44812288\"]\n  16 -> 27 [size =\"44812288\"]\n  16 -> 29 [size =\"44812288\"]\n  16 -> 32 [size =\"44812288\"]\n  16 -> 35 [size =\"44812288\"]\n  16 -> 37 [size =\"44812288\"]\n  16 -> 43 [size =\"44812288\"]\n  16 -> 50 [size =\"44812288\"]\n  17 [size=\"147595947\", alpha=\"0.13\", expect_size=\"44278784\"] \n  17 -> 27 [size =\"44278784\"]\n  17 -> 28 [size =\"44278784\"]\n  17 -> 32 [size =\"44278784\"]\n  17 -> 36 [size =\"44278784\"]\n  17 -> 37 [size =\"44278784\"]\n  17 -> 40 [size =\"44278784\"]\n  17 -> 44 [size =\"44278784\"]\n  17 -> 48 [size =\"44278784\"]\n  18 [size=\"90228053\", alpha=\"0.03\", expect_size=\"27068416\"] \n  18 -> 26 [size =\"27068416\"]\n  18 -> 27 [size =\"27068416\"]\n  18 -> 38 [size =\"27068416\"]\n  18 -> 40 [size =\"27068416\"]\n  18 -> 46 [size =\"27068416\"]\n  18 -> 49 [size =\"27068416\"]\n  19 [size=\"120019627\", alpha=\"0.13\", expect_size=\"36005888\"] \n  19 -> 26 [size =\"36005888\"]\n  19 -> 27 [size =\"36005888\"]\n  19 -> 28 [size =\"36005888\"]\n  19 -> 31 [size =\"36005888\"]\n  19 -> 40 [size =\"36005888\"]\n  19 -> 42 [size =\"36005888\"]\n  19 -> 43 [size =\"36005888\"]\n  19 -> 44 [size =\"36005888\"]\n  19 -> 45 [size =\"36005888\"]\n  19 -> 48 [size =\"36005888\"]\n  19 -> 49 [size =\"36005888\"]\n  20 [size=\"145356800\", alpha=\"0.03\", expect_size=\"43607040\"] \n  20 -> 25 [size =\"43607040\"]\n  20 -> 26 [size =\"43607040\"]\n  20 -> 27 [size =\"43607040\"]\n  20 -> 28 [size =\"43607040\"]\n  20 -> 31 [size =\"43607040\"]\n  20 -> 37 [size =\"43607040\"]\n  20 -> 40 [size =\"43607040\"]\n  20 -> 42 [size =\"43607040\"]\n  20 -> 48 [size =\"43607040\"]\n  20 -> 49 [size =\"43607040\"]\n  20 -> 50 [size =\"43607040\"]\n  21 [size=\"173233493\", alpha=\"0.18\", expect_size=\"51970048\"] \n  21 -> 26 [size =\"51970048\"]\n  21 -> 27 [size =\"51970048\"]\n  21 -> 28 [size =\"51970048\"]\n  21 -> 46 [size =\"51970048\"]\n  21 -> 49 [size =\"51970048\"]\n  21 -> 50 [size =\"51970048\"]\n  22 [size=\"80315733\", alpha=\"0.09\", expect_size=\"24094720\"] \n  22 -> 26 [size =\"24094720\"]\n  22 -> 27 [size =\"24094720\"]\n  22 -> 30 [size =\"24094720\"]\n  22 -> 49 [size =\"24094720\"]\n  22 -> 50 [size =\"24094720\"]\n  23 [size=\"64570027\", alpha=\"0.10\", expect_size=\"19371008\"] \n  23 -> 35 [size =\"19371008\"]\n  23 -> 36 [size =\"19371008\"]\n  23 -> 40 [size =\"19371008\"]\n  23 -> 41 [size =\"19371008\"]\n  23 -> 44 [size =\"19371008\"]\n  23 -> 46 [size =\"19371008\"]\n  23 -> 48 [size =\"19371008\"]\n  23 -> 50 [size =\"19371008\"]\n  24 [size=\"18551467\", alpha=\"0.03\", expect_size=\"5565440\"] \n  25 [size=\"32948907\", alpha=\"0.04\", expect_size=\"9884672\"] \n  26 [size=\"73690453\", alpha=\"0.13\", expect_size=\"22107136\"] \n  27 [size=\"29344427\", alpha=\"0.02\", expect_size=\"8803328\"] \n  28 [size=\"132625067\", alpha=\"0.18\", expect_size=\"39787520\"] \n  29 [size=\"159337813\", alpha=\"0.06\", expect_size=\"47801344\"] \n  30 [size=\"103109973\", alpha=\"0.09\", expect_size=\"30932992\"] \n  31 [size=\"128662187\", alpha=\"0.17\", expect_size=\"38598656\"] \n  32 [size=\"114715307\", alpha=\"0.08\", expect_size=\"34414592\"] \n  33 [size=\"26094933\", alpha=\"0.17\", expect_size=\"7828480\"] \n  34 [size=\"102615040\", alpha=\"0.11\", expect_size=\"30784512\"] \n  35 [size=\"123378347\", alpha=\"0.05\", expect_size=\"37013504\"] \n  36 [size=\"157006507\", alpha=\"0.16\", expect_size=\"47101952\"] \n  37 [size=\"101881173\", alpha=\"0.03\", expect_size=\"30564352\"] \n  38 [size=\"121081173\", alpha=\"0.19\", expect_size=\"36324352\"] \n  39 [size=\"101840213\", alpha=\"0.09\", expect_size=\"30552064\"] \n  40 [size=\"149050027\", alpha=\"0.14\", expect_size=\"44715008\"] \n  41 [size=\"61248853\", alpha=\"0.20\", expect_size=\"18374656\"] \n  42 [size=\"37266773\", alpha=\"0.13\", expect_size=\"11180032\"] \n  43 [size=\"100225707\", alpha=\"0.13\", expect_size=\"30067712\"] \n  44 [size=\"74605227\", alpha=\"0.12\", expect_size=\"22381568\"] \n  45 [size=\"162648747\", alpha=\"0.14\", expect_size=\"48794624\"] \n  46 [size=\"44933120\", alpha=\"0.03\", expect_size=\"13479936\"] \n  47 [size=\"167936000\", alpha=\"0.13\", expect_size=\"50380800\"] \n  48 [size=\"32631467\", alpha=\"0.18\", expect_size=\"9789440\"] \n  49 [size=\"26340693\", alpha=\"0.01\", expect_size=\"7902208\"] \n  50 [size=\"94330880\", alpha=\"0.15\", expect_size=\"28299264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67897344\", alpha=\"0.05\", expect_size=\"33948672\"] \n  1 -> 9 [size =\"33948672\"]\n  1 -> 12 [size =\"33948672\"]\n  1 -> 13 [size =\"33948672\"]\n  1 -> 15 [size =\"33948672\"]\n  1 -> 16 [size =\"33948672\"]\n  1 -> 16 [size =\"33948672\"]\n  1 -> 17 [size =\"33948672\"]\n  2 [size=\"81219584\", alpha=\"0.06\", expect_size=\"40609792\"] \n  2 -> 9 [size =\"40609792\"]\n  2 -> 11 [size =\"40609792\"]\n  2 -> 12 [size =\"40609792\"]\n  2 -> 13 [size =\"40609792\"]\n  2 -> 15 [size =\"40609792\"]\n  2 -> 17 [size =\"40609792\"]\n  3 [size=\"83257344\", alpha=\"0.05\", expect_size=\"41628672\"] \n  3 -> 9 [size =\"41628672\"]\n  3 -> 10 [size =\"41628672\"]\n  3 -> 12 [size =\"41628672\"]\n  3 -> 13 [size =\"41628672\"]\n  3 -> 14 [size =\"41628672\"]\n  3 -> 15 [size =\"41628672\"]\n  3 -> 17 [size =\"41628672\"]\n  4 [size=\"51943424\", alpha=\"0.11\", expect_size=\"25971712\"] \n  4 -> 8 [size =\"25971712\"]\n  4 -> 10 [size =\"25971712\"]\n  4 -> 12 [size =\"25971712\"]\n  4 -> 13 [size =\"25971712\"]\n  4 -> 14 [size =\"25971712\"]\n  4 -> 17 [size =\"25971712\"]\n  4 -> 17 [size =\"25971712\"]\n  5 [size=\"43241472\", alpha=\"0.15\", expect_size=\"21620736\"] \n  5 -> 10 [size =\"21620736\"]\n  5 -> 12 [size =\"21620736\"]\n  5 -> 13 [size =\"21620736\"]\n  5 -> 14 [size =\"21620736\"]\n  5 -> 16 [size =\"21620736\"]\n  6 [size=\"12130304\", alpha=\"0.07\", expect_size=\"6065152\"] \n  6 -> 10 [size =\"6065152\"]\n  6 -> 12 [size =\"6065152\"]\n  6 -> 15 [size =\"6065152\"]\n  6 -> 16 [size =\"6065152\"]\n  6 -> 17 [size =\"6065152\"]\n  7 [size=\"103940096\", alpha=\"0.13\", expect_size=\"51970048\"] \n  7 -> 9 [size =\"51970048\"]\n  7 -> 12 [size =\"51970048\"]\n  7 -> 13 [size =\"51970048\"]\n  7 -> 14 [size =\"51970048\"]\n  7 -> 15 [size =\"51970048\"]\n  7 -> 16 [size =\"51970048\"]\n  8 [size=\"91084800\", alpha=\"0.12\", expect_size=\"45542400\"] \n  8 -> 18 [size =\"45542400\"]\n  8 -> 20 [size =\"45542400\"]\n  9 [size=\"49952768\", alpha=\"0.13\", expect_size=\"24976384\"] \n  9 -> 18 [size =\"24976384\"]\n  9 -> 20 [size =\"24976384\"]\n  10 [size=\"14860288\", alpha=\"0.12\", expect_size=\"7430144\"] \n  10 -> 18 [size =\"7430144\"]\n  10 -> 19 [size =\"7430144\"]\n  10 -> 20 [size =\"7430144\"]\n  11 [size=\"11268096\", alpha=\"0.05\", expect_size=\"5634048\"] \n  11 -> 18 [size =\"5634048\"]\n  11 -> 20 [size =\"5634048\"]\n  11 -> 20 [size =\"5634048\"]\n  12 [size=\"35592192\", alpha=\"0.14\", expect_size=\"17796096\"] \n  12 -> 18 [size =\"17796096\"]\n  12 -> 19 [size =\"17796096\"]\n  12 -> 20 [size =\"17796096\"]\n  13 [size=\"63787008\", alpha=\"0.03\", expect_size=\"31893504\"] \n  13 -> 18 [size =\"31893504\"]\n  13 -> 20 [size =\"31893504\"]\n  14 [size=\"88020992\", alpha=\"0.04\", expect_size=\"44010496\"] \n  14 -> 18 [size =\"44010496\"]\n  14 -> 20 [size =\"44010496\"]\n  15 [size=\"47413248\", alpha=\"0.00\", expect_size=\"23706624\"] \n  15 -> 18 [size =\"23706624\"]\n  15 -> 19 [size =\"23706624\"]\n  16 [size=\"23603200\", alpha=\"0.14\", expect_size=\"11801600\"] \n  16 -> 20 [size =\"11801600\"]\n  17 [size=\"56932352\", alpha=\"0.03\", expect_size=\"28466176\"] \n  18 [size=\"23482368\", alpha=\"0.19\", expect_size=\"11741184\"] \n  18 -> 21 [size =\"11741184\"]\n  18 -> 22 [size =\"11741184\"]\n  18 -> 24 [size =\"11741184\"]\n  18 -> 26 [size =\"11741184\"]\n  18 -> 27 [size =\"11741184\"]\n  19 [size=\"82315264\", alpha=\"0.14\", expect_size=\"41157632\"] \n  19 -> 24 [size =\"41157632\"]\n  19 -> 26 [size =\"41157632\"]\n  19 -> 27 [size =\"41157632\"]\n  20 [size=\"51310592\", alpha=\"0.15\", expect_size=\"25655296\"] \n  20 -> 21 [size =\"25655296\"]\n  20 -> 22 [size =\"25655296\"]\n  20 -> 23 [size =\"25655296\"]\n  20 -> 24 [size =\"25655296\"]\n  20 -> 25 [size =\"25655296\"]\n  20 -> 26 [size =\"25655296\"]\n  21 [size=\"15015936\", alpha=\"0.08\", expect_size=\"7507968\"] \n  21 -> 28 [size =\"7507968\"]\n  21 -> 29 [size =\"7507968\"]\n  21 -> 30 [size =\"7507968\"]\n  22 [size=\"39428096\", alpha=\"0.16\", expect_size=\"19714048\"] \n  22 -> 28 [size =\"19714048\"]\n  22 -> 29 [size =\"19714048\"]\n  22 -> 30 [size =\"19714048\"]\n  22 -> 32 [size =\"19714048\"]\n  23 [size=\"10629120\", alpha=\"0.19\", expect_size=\"5314560\"] \n  23 -> 28 [size =\"5314560\"]\n  23 -> 29 [size =\"5314560\"]\n  23 -> 30 [size =\"5314560\"]\n  23 -> 31 [size =\"5314560\"]\n  24 [size=\"23083008\", alpha=\"0.11\", expect_size=\"11541504\"] \n  25 [size=\"42219520\", alpha=\"0.10\", expect_size=\"21109760\"] \n  25 -> 28 [size =\"21109760\"]\n  25 -> 29 [size =\"21109760\"]\n  25 -> 30 [size =\"21109760\"]\n  25 -> 32 [size =\"21109760\"]\n  26 [size=\"44087296\", alpha=\"0.10\", expect_size=\"22043648\"] \n  26 -> 28 [size =\"22043648\"]\n  26 -> 30 [size =\"22043648\"]\n  26 -> 30 [size =\"22043648\"]\n  26 -> 31 [size =\"22043648\"]\n  26 -> 32 [size =\"22043648\"]\n  27 [size=\"17625088\", alpha=\"0.09\", expect_size=\"8812544\"] \n  27 -> 28 [size =\"8812544\"]\n  27 -> 29 [size =\"8812544\"]\n  27 -> 30 [size =\"8812544\"]\n  27 -> 31 [size =\"8812544\"]\n  27 -> 32 [size =\"8812544\"]\n  28 [size=\"29747200\", alpha=\"0.05\", expect_size=\"14873600\"] \n  28 -> 33 [size =\"14873600\"]\n  28 -> 36 [size =\"14873600\"]\n  28 -> 37 [size =\"14873600\"]\n  29 [size=\"25534464\", alpha=\"0.09\", expect_size=\"12767232\"] \n  29 -> 33 [size =\"12767232\"]\n  29 -> 38 [size =\"12767232\"]\n  29 -> 40 [size =\"12767232\"]\n  29 -> 41 [size =\"12767232\"]\n  30 [size=\"93640704\", alpha=\"0.15\", expect_size=\"46820352\"] \n  30 -> 33 [size =\"46820352\"]\n  30 -> 36 [size =\"46820352\"]\n  30 -> 40 [size =\"46820352\"]\n  30 -> 41 [size =\"46820352\"]\n  31 [size=\"70631424\", alpha=\"0.01\", expect_size=\"35315712\"] \n  31 -> 35 [size =\"35315712\"]\n  31 -> 36 [size =\"35315712\"]\n  31 -> 39 [size =\"35315712\"]\n  31 -> 40 [size =\"35315712\"]\n  31 -> 41 [size =\"35315712\"]\n  32 [size=\"13922304\", alpha=\"0.12\", expect_size=\"6961152\"] \n  32 -> 33 [size =\"6961152\"]\n  32 -> 34 [size =\"6961152\"]\n  32 -> 35 [size =\"6961152\"]\n  32 -> 36 [size =\"6961152\"]\n  32 -> 37 [size =\"6961152\"]\n  32 -> 40 [size =\"6961152\"]\n  32 -> 41 [size =\"6961152\"]\n  32 -> 42 [size =\"6961152\"]\n  33 [size=\"88621056\", alpha=\"0.14\", expect_size=\"44310528\"] \n  33 -> 43 [size =\"44310528\"]\n  33 -> 44 [size =\"44310528\"]\n  33 -> 45 [size =\"44310528\"]\n  33 -> 46 [size =\"44310528\"]\n  33 -> 47 [size =\"44310528\"]\n  33 -> 49 [size =\"44310528\"]\n  33 -> 50 [size =\"44310528\"]\n  34 [size=\"84381696\", alpha=\"0.13\", expect_size=\"42190848\"] \n  34 -> 43 [size =\"42190848\"]\n  34 -> 44 [size =\"42190848\"]\n  34 -> 45 [size =\"42190848\"]\n  34 -> 46 [size =\"42190848\"]\n  34 -> 47 [size =\"42190848\"]\n  34 -> 49 [size =\"42190848\"]\n  34 -> 50 [size =\"42190848\"]\n  35 [size=\"42665984\", alpha=\"0.19\", expect_size=\"21332992\"] \n  35 -> 45 [size =\"21332992\"]\n  35 -> 47 [size =\"21332992\"]\n  35 -> 50 [size =\"21332992\"]\n  36 [size=\"90601472\", alpha=\"0.09\", expect_size=\"45300736\"] \n  36 -> 43 [size =\"45300736\"]\n  36 -> 47 [size =\"45300736\"]\n  36 -> 49 [size =\"45300736\"]\n  36 -> 50 [size =\"45300736\"]\n  37 [size=\"41089024\", alpha=\"0.08\", expect_size=\"20544512\"] \n  37 -> 45 [size =\"20544512\"]\n  37 -> 46 [size =\"20544512\"]\n  37 -> 49 [size =\"20544512\"]\n  37 -> 50 [size =\"20544512\"]\n  38 [size=\"81958912\", alpha=\"0.10\", expect_size=\"40979456\"] \n  38 -> 43 [size =\"40979456\"]\n  38 -> 47 [size =\"40979456\"]\n  38 -> 49 [size =\"40979456\"]\n  38 -> 50 [size =\"40979456\"]\n  39 [size=\"10690560\", alpha=\"0.07\", expect_size=\"5345280\"] \n  39 -> 43 [size =\"5345280\"]\n  39 -> 48 [size =\"5345280\"]\n  39 -> 49 [size =\"5345280\"]\n  39 -> 50 [size =\"5345280\"]\n  40 [size=\"55500800\", alpha=\"0.13\", expect_size=\"27750400\"] \n  40 -> 43 [size =\"27750400\"]\n  40 -> 46 [size =\"27750400\"]\n  41 [size=\"32018432\", alpha=\"0.20\", expect_size=\"16009216\"] \n  41 -> 43 [size =\"16009216\"]\n  41 -> 45 [size =\"16009216\"]\n  41 -> 48 [size =\"16009216\"]\n  42 [size=\"35399680\", alpha=\"0.13\", expect_size=\"17699840\"] \n  42 -> 43 [size =\"17699840\"]\n  42 -> 44 [size =\"17699840\"]\n  42 -> 47 [size =\"17699840\"]\n  43 [size=\"90753024\", alpha=\"0.05\", expect_size=\"45376512\"] \n  44 [size=\"62633984\", alpha=\"0.01\", expect_size=\"31316992\"] \n  45 [size=\"28581888\", alpha=\"0.03\", expect_size=\"14290944\"] \n  46 [size=\"25520128\", alpha=\"0.13\", expect_size=\"12760064\"] \n  47 [size=\"66570240\", alpha=\"0.04\", expect_size=\"33285120\"] \n  48 [size=\"103809024\", alpha=\"0.19\", expect_size=\"51904512\"] \n  49 [size=\"55861248\", alpha=\"0.17\", expect_size=\"27930624\"] \n  50 [size=\"88928256\", alpha=\"0.13\", expect_size=\"44464128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.330.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122903893\", alpha=\"0.01\", expect_size=\"36871168\"] \n  1 -> 4 [size =\"36871168\"]\n  2 [size=\"98007040\", alpha=\"0.03\", expect_size=\"29402112\"] \n  2 -> 5 [size =\"29402112\"]\n  2 -> 6 [size =\"29402112\"]\n  3 [size=\"28617387\", alpha=\"0.17\", expect_size=\"8585216\"] \n  4 [size=\"69147307\", alpha=\"0.11\", expect_size=\"20744192\"] \n  5 [size=\"48418133\", alpha=\"0.19\", expect_size=\"14525440\"] \n  5 -> 8 [size =\"14525440\"]\n  5 -> 9 [size =\"14525440\"]\n  6 [size=\"87336960\", alpha=\"0.13\", expect_size=\"26201088\"] \n  6 -> 7 [size =\"26201088\"]\n  6 -> 9 [size =\"26201088\"]\n  7 [size=\"138185387\", alpha=\"0.02\", expect_size=\"41455616\"] \n  7 -> 10 [size =\"41455616\"]\n  8 [size=\"125037227\", alpha=\"0.16\", expect_size=\"37511168\"] \n  8 -> 11 [size =\"37511168\"]\n  9 [size=\"169386667\", alpha=\"0.18\", expect_size=\"50816000\"] \n  9 -> 10 [size =\"50816000\"]\n  10 [size=\"126481067\", alpha=\"0.05\", expect_size=\"37944320\"] \n  10 -> 13 [size =\"37944320\"]\n  11 [size=\"174646613\", alpha=\"0.15\", expect_size=\"52393984\"] \n  11 -> 12 [size =\"52393984\"]\n  12 [size=\"22705493\", alpha=\"0.15\", expect_size=\"6811648\"] \n  12 -> 14 [size =\"6811648\"]\n  13 [size=\"44755627\", alpha=\"0.12\", expect_size=\"13426688\"] \n  13 -> 15 [size =\"13426688\"]\n  13 -> 16 [size =\"13426688\"]\n  14 [size=\"19141973\", alpha=\"0.16\", expect_size=\"5742592\"] \n  14 -> 17 [size =\"5742592\"]\n  15 [size=\"108578133\", alpha=\"0.18\", expect_size=\"32573440\"] \n  15 -> 18 [size =\"32573440\"]\n  15 -> 19 [size =\"32573440\"]\n  16 [size=\"98983253\", alpha=\"0.13\", expect_size=\"29694976\"] \n  16 -> 17 [size =\"29694976\"]\n  16 -> 18 [size =\"29694976\"]\n  17 [size=\"43844267\", alpha=\"0.02\", expect_size=\"13153280\"] \n  17 -> 20 [size =\"13153280\"]\n  17 -> 21 [size =\"13153280\"]\n  18 [size=\"63252480\", alpha=\"0.08\", expect_size=\"18975744\"] \n  19 [size=\"32822613\", alpha=\"0.03\", expect_size=\"9846784\"] \n  19 -> 20 [size =\"9846784\"]\n  20 [size=\"172598613\", alpha=\"0.15\", expect_size=\"51779584\"] \n  20 -> 22 [size =\"51779584\"]\n  21 [size=\"51237547\", alpha=\"0.01\", expect_size=\"15371264\"] \n  21 -> 23 [size =\"15371264\"]\n  21 -> 24 [size =\"15371264\"]\n  22 [size=\"172066133\", alpha=\"0.16\", expect_size=\"51619840\"] \n  22 -> 26 [size =\"51619840\"]\n  23 [size=\"129826133\", alpha=\"0.14\", expect_size=\"38947840\"] \n  23 -> 25 [size =\"38947840\"]\n  24 [size=\"64334507\", alpha=\"0.17\", expect_size=\"19300352\"] \n  24 -> 25 [size =\"19300352\"]\n  25 [size=\"36194987\", alpha=\"0.05\", expect_size=\"10858496\"] \n  25 -> 29 [size =\"10858496\"]\n  26 [size=\"18752853\", alpha=\"0.02\", expect_size=\"5625856\"] \n  26 -> 27 [size =\"5625856\"]\n  26 -> 28 [size =\"5625856\"]\n  27 [size=\"124228267\", alpha=\"0.14\", expect_size=\"37268480\"] \n  27 -> 30 [size =\"37268480\"]\n  27 -> 31 [size =\"37268480\"]\n  28 [size=\"137154560\", alpha=\"0.20\", expect_size=\"41146368\"] \n  28 -> 31 [size =\"41146368\"]\n  29 [size=\"43816960\", alpha=\"0.04\", expect_size=\"13145088\"] \n  29 -> 30 [size =\"13145088\"]\n  29 -> 32 [size =\"13145088\"]\n  30 [size=\"66225493\", alpha=\"0.03\", expect_size=\"19867648\"] \n  30 -> 34 [size =\"19867648\"]\n  30 -> 35 [size =\"19867648\"]\n  31 [size=\"27118933\", alpha=\"0.02\", expect_size=\"8135680\"] \n  32 [size=\"31928320\", alpha=\"0.02\", expect_size=\"9578496\"] \n  32 -> 33 [size =\"9578496\"]\n  32 -> 34 [size =\"9578496\"]\n  33 [size=\"161187840\", alpha=\"0.05\", expect_size=\"48356352\"] \n  34 [size=\"111465813\", alpha=\"0.08\", expect_size=\"33439744\"] \n  34 -> 37 [size =\"33439744\"]\n  35 [size=\"91719680\", alpha=\"0.02\", expect_size=\"27515904\"] \n  35 -> 36 [size =\"27515904\"]\n  35 -> 37 [size =\"27515904\"]\n  36 [size=\"132898133\", alpha=\"0.08\", expect_size=\"39869440\"] \n  36 -> 38 [size =\"39869440\"]\n  36 -> 39 [size =\"39869440\"]\n  37 [size=\"147572053\", alpha=\"0.16\", expect_size=\"44271616\"] \n  38 [size=\"99167573\", alpha=\"0.10\", expect_size=\"29750272\"] \n  38 -> 40 [size =\"29750272\"]\n  38 -> 41 [size =\"29750272\"]\n  39 [size=\"95249067\", alpha=\"0.07\", expect_size=\"28574720\"] \n  40 [size=\"130440533\", alpha=\"0.03\", expect_size=\"39132160\"] \n  40 -> 44 [size =\"39132160\"]\n  41 [size=\"156463787\", alpha=\"0.03\", expect_size=\"46939136\"] \n  41 -> 42 [size =\"46939136\"]\n  41 -> 43 [size =\"46939136\"]\n  42 [size=\"173199360\", alpha=\"0.03\", expect_size=\"51959808\"] \n  42 -> 46 [size =\"51959808\"]\n  43 [size=\"28596907\", alpha=\"0.17\", expect_size=\"8579072\"] \n  43 -> 45 [size =\"8579072\"]\n  44 [size=\"64512000\", alpha=\"0.17\", expect_size=\"19353600\"] \n  44 -> 45 [size =\"19353600\"]\n  44 -> 46 [size =\"19353600\"]\n  44 -> 47 [size =\"19353600\"]\n  45 [size=\"125320533\", alpha=\"0.20\", expect_size=\"37596160\"] \n  45 -> 49 [size =\"37596160\"]\n  46 [size=\"144841387\", alpha=\"0.02\", expect_size=\"43452416\"] \n  46 -> 49 [size =\"43452416\"]\n  47 [size=\"47301973\", alpha=\"0.19\", expect_size=\"14190592\"] \n  47 -> 48 [size =\"14190592\"]\n  48 [size=\"173636267\", alpha=\"0.10\", expect_size=\"52090880\"] \n  48 -> 50 [size =\"52090880\"]\n  49 [size=\"97768107\", alpha=\"0.05\", expect_size=\"29330432\"] \n  50 [size=\"149620053\", alpha=\"0.06\", expect_size=\"44886016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.331.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21463040\", alpha=\"0.19\", expect_size=\"10731520\"] \n  1 -> 15 [size =\"10731520\"]\n  1 -> 16 [size =\"10731520\"]\n  1 -> 17 [size =\"10731520\"]\n  1 -> 18 [size =\"10731520\"]\n  1 -> 22 [size =\"10731520\"]\n  2 [size=\"96774144\", alpha=\"0.13\", expect_size=\"48387072\"] \n  2 -> 20 [size =\"48387072\"]\n  2 -> 24 [size =\"48387072\"]\n  3 [size=\"51677184\", alpha=\"0.20\", expect_size=\"25838592\"] \n  3 -> 15 [size =\"25838592\"]\n  3 -> 17 [size =\"25838592\"]\n  3 -> 20 [size =\"25838592\"]\n  3 -> 21 [size =\"25838592\"]\n  3 -> 24 [size =\"25838592\"]\n  4 [size=\"94181376\", alpha=\"0.10\", expect_size=\"47090688\"] \n  4 -> 15 [size =\"47090688\"]\n  4 -> 16 [size =\"47090688\"]\n  4 -> 23 [size =\"47090688\"]\n  4 -> 24 [size =\"47090688\"]\n  5 [size=\"66351104\", alpha=\"0.05\", expect_size=\"33175552\"] \n  5 -> 15 [size =\"33175552\"]\n  5 -> 16 [size =\"33175552\"]\n  5 -> 22 [size =\"33175552\"]\n  5 -> 23 [size =\"33175552\"]\n  6 [size=\"22917120\", alpha=\"0.13\", expect_size=\"11458560\"] \n  6 -> 17 [size =\"11458560\"]\n  6 -> 22 [size =\"11458560\"]\n  6 -> 22 [size =\"11458560\"]\n  6 -> 23 [size =\"11458560\"]\n  7 [size=\"52168704\", alpha=\"0.18\", expect_size=\"26084352\"] \n  7 -> 23 [size =\"26084352\"]\n  7 -> 24 [size =\"26084352\"]\n  8 [size=\"67221504\", alpha=\"0.15\", expect_size=\"33610752\"] \n  8 -> 15 [size =\"33610752\"]\n  8 -> 22 [size =\"33610752\"]\n  8 -> 24 [size =\"33610752\"]\n  9 [size=\"60018688\", alpha=\"0.19\", expect_size=\"30009344\"] \n  9 -> 15 [size =\"30009344\"]\n  9 -> 16 [size =\"30009344\"]\n  10 [size=\"102344704\", alpha=\"0.18\", expect_size=\"51172352\"] \n  10 -> 24 [size =\"51172352\"]\n  11 [size=\"56184832\", alpha=\"0.01\", expect_size=\"28092416\"] \n  11 -> 17 [size =\"28092416\"]\n  11 -> 22 [size =\"28092416\"]\n  12 [size=\"49838080\", alpha=\"0.06\", expect_size=\"24919040\"] \n  12 -> 15 [size =\"24919040\"]\n  12 -> 17 [size =\"24919040\"]\n  12 -> 20 [size =\"24919040\"]\n  12 -> 23 [size =\"24919040\"]\n  12 -> 24 [size =\"24919040\"]\n  13 [size=\"16207872\", alpha=\"0.01\", expect_size=\"8103936\"] \n  13 -> 17 [size =\"8103936\"]\n  13 -> 19 [size =\"8103936\"]\n  14 [size=\"14893056\", alpha=\"0.19\", expect_size=\"7446528\"] \n  14 -> 17 [size =\"7446528\"]\n  14 -> 20 [size =\"7446528\"]\n  14 -> 23 [size =\"7446528\"]\n  15 [size=\"62246912\", alpha=\"0.07\", expect_size=\"31123456\"] \n  15 -> 25 [size =\"31123456\"]\n  15 -> 29 [size =\"31123456\"]\n  15 -> 37 [size =\"31123456\"]\n  15 -> 42 [size =\"31123456\"]\n  15 -> 44 [size =\"31123456\"]\n  16 [size=\"83638272\", alpha=\"0.13\", expect_size=\"41819136\"] \n  16 -> 34 [size =\"41819136\"]\n  16 -> 35 [size =\"41819136\"]\n  16 -> 36 [size =\"41819136\"]\n  16 -> 42 [size =\"41819136\"]\n  17 [size=\"50503680\", alpha=\"0.08\", expect_size=\"25251840\"] \n  17 -> 28 [size =\"25251840\"]\n  17 -> 29 [size =\"25251840\"]\n  17 -> 30 [size =\"25251840\"]\n  17 -> 32 [size =\"25251840\"]\n  17 -> 34 [size =\"25251840\"]\n  17 -> 43 [size =\"25251840\"]\n  17 -> 44 [size =\"25251840\"]\n  18 [size=\"43259904\", alpha=\"0.18\", expect_size=\"21629952\"] \n  18 -> 27 [size =\"21629952\"]\n  18 -> 28 [size =\"21629952\"]\n  18 -> 37 [size =\"21629952\"]\n  18 -> 38 [size =\"21629952\"]\n  18 -> 39 [size =\"21629952\"]\n  18 -> 42 [size =\"21629952\"]\n  18 -> 45 [size =\"21629952\"]\n  19 [size=\"19113984\", alpha=\"0.07\", expect_size=\"9556992\"] \n  19 -> 35 [size =\"9556992\"]\n  19 -> 36 [size =\"9556992\"]\n  19 -> 38 [size =\"9556992\"]\n  19 -> 38 [size =\"9556992\"]\n  19 -> 42 [size =\"9556992\"]\n  19 -> 45 [size =\"9556992\"]\n  20 [size=\"16353280\", alpha=\"0.00\", expect_size=\"8176640\"] \n  20 -> 27 [size =\"8176640\"]\n  20 -> 29 [size =\"8176640\"]\n  20 -> 32 [size =\"8176640\"]\n  20 -> 34 [size =\"8176640\"]\n  20 -> 35 [size =\"8176640\"]\n  20 -> 37 [size =\"8176640\"]\n  20 -> 40 [size =\"8176640\"]\n  20 -> 44 [size =\"8176640\"]\n  21 [size=\"101928960\", alpha=\"0.16\", expect_size=\"50964480\"] \n  21 -> 27 [size =\"50964480\"]\n  21 -> 29 [size =\"50964480\"]\n  21 -> 32 [size =\"50964480\"]\n  21 -> 33 [size =\"50964480\"]\n  21 -> 35 [size =\"50964480\"]\n  21 -> 36 [size =\"50964480\"]\n  21 -> 41 [size =\"50964480\"]\n  22 [size=\"13428736\", alpha=\"0.09\", expect_size=\"6714368\"] \n  22 -> 27 [size =\"6714368\"]\n  22 -> 33 [size =\"6714368\"]\n  22 -> 38 [size =\"6714368\"]\n  23 [size=\"42102784\", alpha=\"0.12\", expect_size=\"21051392\"] \n  23 -> 26 [size =\"21051392\"]\n  23 -> 29 [size =\"21051392\"]\n  23 -> 32 [size =\"21051392\"]\n  23 -> 33 [size =\"21051392\"]\n  23 -> 34 [size =\"21051392\"]\n  23 -> 36 [size =\"21051392\"]\n  23 -> 37 [size =\"21051392\"]\n  23 -> 42 [size =\"21051392\"]\n  23 -> 43 [size =\"21051392\"]\n  24 [size=\"45971456\", alpha=\"0.12\", expect_size=\"22985728\"] \n  24 -> 25 [size =\"22985728\"]\n  24 -> 31 [size =\"22985728\"]\n  24 -> 34 [size =\"22985728\"]\n  24 -> 36 [size =\"22985728\"]\n  24 -> 37 [size =\"22985728\"]\n  24 -> 40 [size =\"22985728\"]\n  24 -> 43 [size =\"22985728\"]\n  25 [size=\"39987200\", alpha=\"0.04\", expect_size=\"19993600\"] \n  25 -> 46 [size =\"19993600\"]\n  25 -> 49 [size =\"19993600\"]\n  26 [size=\"72003584\", alpha=\"0.19\", expect_size=\"36001792\"] \n  26 -> 49 [size =\"36001792\"]\n  27 [size=\"39520256\", alpha=\"0.02\", expect_size=\"19760128\"] \n  27 -> 47 [size =\"19760128\"]\n  27 -> 49 [size =\"19760128\"]\n  28 [size=\"78393344\", alpha=\"0.18\", expect_size=\"39196672\"] \n  29 [size=\"69402624\", alpha=\"0.04\", expect_size=\"34701312\"] \n  30 [size=\"103747584\", alpha=\"0.09\", expect_size=\"51873792\"] \n  30 -> 49 [size =\"51873792\"]\n  31 [size=\"11098112\", alpha=\"0.04\", expect_size=\"5549056\"] \n  31 -> 50 [size =\"5549056\"]\n  32 [size=\"85544960\", alpha=\"0.08\", expect_size=\"42772480\"] \n  32 -> 46 [size =\"42772480\"]\n  33 [size=\"35891200\", alpha=\"0.13\", expect_size=\"17945600\"] \n  34 [size=\"92071936\", alpha=\"0.18\", expect_size=\"46035968\"] \n  34 -> 49 [size =\"46035968\"]\n  34 -> 50 [size =\"46035968\"]\n  35 [size=\"54667264\", alpha=\"0.15\", expect_size=\"27333632\"] \n  35 -> 46 [size =\"27333632\"]\n  35 -> 50 [size =\"27333632\"]\n  36 [size=\"73918464\", alpha=\"0.07\", expect_size=\"36959232\"] \n  37 [size=\"67885056\", alpha=\"0.07\", expect_size=\"33942528\"] \n  37 -> 48 [size =\"33942528\"]\n  37 -> 50 [size =\"33942528\"]\n  38 [size=\"78254080\", alpha=\"0.15\", expect_size=\"39127040\"] \n  38 -> 47 [size =\"39127040\"]\n  39 [size=\"67385344\", alpha=\"0.04\", expect_size=\"33692672\"] \n  40 [size=\"84817920\", alpha=\"0.15\", expect_size=\"42408960\"] \n  40 -> 49 [size =\"42408960\"]\n  40 -> 50 [size =\"42408960\"]\n  41 [size=\"33665024\", alpha=\"0.05\", expect_size=\"16832512\"] \n  41 -> 49 [size =\"16832512\"]\n  42 [size=\"54001664\", alpha=\"0.16\", expect_size=\"27000832\"] \n  42 -> 46 [size =\"27000832\"]\n  42 -> 49 [size =\"27000832\"]\n  43 [size=\"90810368\", alpha=\"0.13\", expect_size=\"45405184\"] \n  43 -> 49 [size =\"45405184\"]\n  44 [size=\"55439360\", alpha=\"0.18\", expect_size=\"27719680\"] \n  44 -> 48 [size =\"27719680\"]\n  45 [size=\"46667776\", alpha=\"0.09\", expect_size=\"23333888\"] \n  45 -> 48 [size =\"23333888\"]\n  45 -> 49 [size =\"23333888\"]\n  45 -> 50 [size =\"23333888\"]\n  46 [size=\"21886976\", alpha=\"0.13\", expect_size=\"10943488\"] \n  47 [size=\"54249472\", alpha=\"0.03\", expect_size=\"27124736\"] \n  48 [size=\"89401344\", alpha=\"0.08\", expect_size=\"44700672\"] \n  49 [size=\"65744896\", alpha=\"0.05\", expect_size=\"32872448\"] \n  50 [size=\"86282240\", alpha=\"0.02\", expect_size=\"43141120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.332.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53559296\", alpha=\"0.05\", expect_size=\"26779648\"] \n  1 -> 4 [size =\"26779648\"]\n  1 -> 5 [size =\"26779648\"]\n  2 [size=\"90540032\", alpha=\"0.08\", expect_size=\"45270016\"] \n  2 -> 4 [size =\"45270016\"]\n  2 -> 5 [size =\"45270016\"]\n  3 [size=\"63397888\", alpha=\"0.03\", expect_size=\"31698944\"] \n  3 -> 4 [size =\"31698944\"]\n  3 -> 5 [size =\"31698944\"]\n  3 -> 6 [size =\"31698944\"]\n  4 [size=\"77557760\", alpha=\"0.14\", expect_size=\"38778880\"] \n  5 [size=\"45950976\", alpha=\"0.05\", expect_size=\"22975488\"] \n  5 -> 7 [size =\"22975488\"]\n  5 -> 8 [size =\"22975488\"]\n  5 -> 9 [size =\"22975488\"]\n  6 [size=\"60190720\", alpha=\"0.17\", expect_size=\"30095360\"] \n  7 [size=\"74782720\", alpha=\"0.14\", expect_size=\"37391360\"] \n  7 -> 10 [size =\"37391360\"]\n  8 [size=\"57122816\", alpha=\"0.05\", expect_size=\"28561408\"] \n  8 -> 10 [size =\"28561408\"]\n  9 [size=\"84365312\", alpha=\"0.13\", expect_size=\"42182656\"] \n  9 -> 10 [size =\"42182656\"]\n  10 [size=\"29745152\", alpha=\"0.02\", expect_size=\"14872576\"] \n  10 -> 11 [size =\"14872576\"]\n  10 -> 12 [size =\"14872576\"]\n  11 [size=\"87652352\", alpha=\"0.11\", expect_size=\"43826176\"] \n  11 -> 15 [size =\"43826176\"]\n  12 [size=\"17657856\", alpha=\"0.01\", expect_size=\"8828928\"] \n  12 -> 13 [size =\"8828928\"]\n  12 -> 14 [size =\"8828928\"]\n  12 -> 15 [size =\"8828928\"]\n  13 [size=\"53893120\", alpha=\"0.09\", expect_size=\"26946560\"] \n  13 -> 16 [size =\"26946560\"]\n  14 [size=\"66856960\", alpha=\"0.11\", expect_size=\"33428480\"] \n  14 -> 16 [size =\"33428480\"]\n  15 [size=\"39106560\", alpha=\"0.03\", expect_size=\"19553280\"] \n  15 -> 16 [size =\"19553280\"]\n  16 [size=\"62545920\", alpha=\"0.05\", expect_size=\"31272960\"] \n  16 -> 17 [size =\"31272960\"]\n  16 -> 18 [size =\"31272960\"]\n  16 -> 19 [size =\"31272960\"]\n  17 [size=\"48095232\", alpha=\"0.18\", expect_size=\"24047616\"] \n  17 -> 20 [size =\"24047616\"]\n  17 -> 21 [size =\"24047616\"]\n  17 -> 22 [size =\"24047616\"]\n  17 -> 23 [size =\"24047616\"]\n  18 [size=\"19896320\", alpha=\"0.19\", expect_size=\"9948160\"] \n  18 -> 20 [size =\"9948160\"]\n  18 -> 22 [size =\"9948160\"]\n  18 -> 23 [size =\"9948160\"]\n  19 [size=\"44845056\", alpha=\"0.20\", expect_size=\"22422528\"] \n  19 -> 20 [size =\"22422528\"]\n  19 -> 22 [size =\"22422528\"]\n  19 -> 23 [size =\"22422528\"]\n  20 [size=\"11419648\", alpha=\"0.00\", expect_size=\"5709824\"] \n  20 -> 26 [size =\"5709824\"]\n  21 [size=\"18997248\", alpha=\"0.09\", expect_size=\"9498624\"] \n  21 -> 25 [size =\"9498624\"]\n  22 [size=\"70463488\", alpha=\"0.16\", expect_size=\"35231744\"] \n  22 -> 24 [size =\"35231744\"]\n  22 -> 25 [size =\"35231744\"]\n  23 [size=\"75026432\", alpha=\"0.13\", expect_size=\"37513216\"] \n  23 -> 24 [size =\"37513216\"]\n  23 -> 25 [size =\"37513216\"]\n  23 -> 26 [size =\"37513216\"]\n  24 [size=\"24633344\", alpha=\"0.05\", expect_size=\"12316672\"] \n  24 -> 27 [size =\"12316672\"]\n  24 -> 28 [size =\"12316672\"]\n  25 [size=\"77398016\", alpha=\"0.04\", expect_size=\"38699008\"] \n  25 -> 27 [size =\"38699008\"]\n  25 -> 28 [size =\"38699008\"]\n  26 [size=\"93851648\", alpha=\"0.14\", expect_size=\"46925824\"] \n  26 -> 27 [size =\"46925824\"]\n  26 -> 28 [size =\"46925824\"]\n  27 [size=\"25421824\", alpha=\"0.17\", expect_size=\"12710912\"] \n  27 -> 29 [size =\"12710912\"]\n  27 -> 31 [size =\"12710912\"]\n  28 [size=\"14178304\", alpha=\"0.11\", expect_size=\"7089152\"] \n  28 -> 29 [size =\"7089152\"]\n  28 -> 30 [size =\"7089152\"]\n  29 [size=\"103194624\", alpha=\"0.20\", expect_size=\"51597312\"] \n  29 -> 32 [size =\"51597312\"]\n  29 -> 33 [size =\"51597312\"]\n  30 [size=\"102920192\", alpha=\"0.13\", expect_size=\"51460096\"] \n  30 -> 33 [size =\"51460096\"]\n  31 [size=\"103596032\", alpha=\"0.02\", expect_size=\"51798016\"] \n  31 -> 32 [size =\"51798016\"]\n  31 -> 33 [size =\"51798016\"]\n  32 [size=\"53921792\", alpha=\"0.13\", expect_size=\"26960896\"] \n  32 -> 34 [size =\"26960896\"]\n  32 -> 35 [size =\"26960896\"]\n  32 -> 36 [size =\"26960896\"]\n  32 -> 37 [size =\"26960896\"]\n  33 [size=\"33955840\", alpha=\"0.13\", expect_size=\"16977920\"] \n  33 -> 34 [size =\"16977920\"]\n  33 -> 35 [size =\"16977920\"]\n  33 -> 36 [size =\"16977920\"]\n  33 -> 37 [size =\"16977920\"]\n  34 [size=\"96608256\", alpha=\"0.05\", expect_size=\"48304128\"] \n  34 -> 38 [size =\"48304128\"]\n  35 [size=\"25839616\", alpha=\"0.03\", expect_size=\"12919808\"] \n  35 -> 39 [size =\"12919808\"]\n  36 [size=\"45854720\", alpha=\"0.12\", expect_size=\"22927360\"] \n  36 -> 38 [size =\"22927360\"]\n  36 -> 39 [size =\"22927360\"]\n  37 [size=\"17618944\", alpha=\"0.09\", expect_size=\"8809472\"] \n  37 -> 39 [size =\"8809472\"]\n  38 [size=\"99799040\", alpha=\"0.09\", expect_size=\"49899520\"] \n  38 -> 41 [size =\"49899520\"]\n  39 [size=\"55920640\", alpha=\"0.15\", expect_size=\"27960320\"] \n  39 -> 40 [size =\"27960320\"]\n  39 -> 41 [size =\"27960320\"]\n  40 [size=\"54235136\", alpha=\"0.02\", expect_size=\"27117568\"] \n  40 -> 42 [size =\"27117568\"]\n  40 -> 43 [size =\"27117568\"]\n  40 -> 44 [size =\"27117568\"]\n  40 -> 45 [size =\"27117568\"]\n  41 [size=\"19630080\", alpha=\"0.10\", expect_size=\"9815040\"] \n  41 -> 42 [size =\"9815040\"]\n  41 -> 43 [size =\"9815040\"]\n  42 [size=\"29276160\", alpha=\"0.11\", expect_size=\"14638080\"] \n  42 -> 46 [size =\"14638080\"]\n  43 [size=\"90343424\", alpha=\"0.06\", expect_size=\"45171712\"] \n  43 -> 46 [size =\"45171712\"]\n  43 -> 47 [size =\"45171712\"]\n  44 [size=\"57497600\", alpha=\"0.04\", expect_size=\"28748800\"] \n  44 -> 46 [size =\"28748800\"]\n  44 -> 47 [size =\"28748800\"]\n  45 [size=\"81481728\", alpha=\"0.16\", expect_size=\"40740864\"] \n  45 -> 47 [size =\"40740864\"]\n  45 -> 47 [size =\"40740864\"]\n  46 [size=\"96548864\", alpha=\"0.05\", expect_size=\"48274432\"] \n  46 -> 48 [size =\"48274432\"]\n  46 -> 49 [size =\"48274432\"]\n  47 [size=\"60387328\", alpha=\"0.18\", expect_size=\"30193664\"] \n  47 -> 48 [size =\"30193664\"]\n  47 -> 49 [size =\"30193664\"]\n  47 -> 50 [size =\"30193664\"]\n  48 [size=\"10606592\", alpha=\"0.12\", expect_size=\"5303296\"] \n  49 [size=\"50991104\", alpha=\"0.05\", expect_size=\"25495552\"] \n  50 [size=\"27156480\", alpha=\"0.18\", expect_size=\"13578240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.333.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69624320\", alpha=\"0.08\", expect_size=\"27849728\"] \n  1 -> 13 [size =\"27849728\"]\n  1 -> 14 [size =\"27849728\"]\n  2 [size=\"82414080\", alpha=\"0.07\", expect_size=\"32965632\"] \n  2 -> 12 [size =\"32965632\"]\n  3 [size=\"111718400\", alpha=\"0.09\", expect_size=\"44687360\"] \n  3 -> 10 [size =\"44687360\"]\n  3 -> 11 [size =\"44687360\"]\n  3 -> 12 [size =\"44687360\"]\n  3 -> 14 [size =\"44687360\"]\n  4 [size=\"71454720\", alpha=\"0.02\", expect_size=\"28581888\"] \n  4 -> 12 [size =\"28581888\"]\n  4 -> 13 [size =\"28581888\"]\n  4 -> 14 [size =\"28581888\"]\n  5 [size=\"55605760\", alpha=\"0.05\", expect_size=\"22242304\"] \n  5 -> 12 [size =\"22242304\"]\n  5 -> 13 [size =\"22242304\"]\n  5 -> 14 [size =\"22242304\"]\n  6 [size=\"111651840\", alpha=\"0.07\", expect_size=\"44660736\"] \n  6 -> 10 [size =\"44660736\"]\n  6 -> 11 [size =\"44660736\"]\n  6 -> 13 [size =\"44660736\"]\n  7 [size=\"74334720\", alpha=\"0.04\", expect_size=\"29733888\"] \n  8 [size=\"122432000\", alpha=\"0.11\", expect_size=\"48972800\"] \n  8 -> 11 [size =\"48972800\"]\n  8 -> 12 [size =\"48972800\"]\n  9 [size=\"80604160\", alpha=\"0.18\", expect_size=\"32241664\"] \n  9 -> 12 [size =\"32241664\"]\n  9 -> 14 [size =\"32241664\"]\n  10 [size=\"85020160\", alpha=\"0.10\", expect_size=\"34008064\"] \n  10 -> 16 [size =\"34008064\"]\n  10 -> 17 [size =\"34008064\"]\n  10 -> 18 [size =\"34008064\"]\n  10 -> 19 [size =\"34008064\"]\n  10 -> 21 [size =\"34008064\"]\n  11 [size=\"21573120\", alpha=\"0.20\", expect_size=\"8629248\"] \n  11 -> 15 [size =\"8629248\"]\n  11 -> 17 [size =\"8629248\"]\n  11 -> 18 [size =\"8629248\"]\n  12 [size=\"66777600\", alpha=\"0.01\", expect_size=\"26711040\"] \n  12 -> 16 [size =\"26711040\"]\n  12 -> 18 [size =\"26711040\"]\n  12 -> 21 [size =\"26711040\"]\n  12 -> 22 [size =\"26711040\"]\n  13 [size=\"109283840\", alpha=\"0.18\", expect_size=\"43713536\"] \n  13 -> 17 [size =\"43713536\"]\n  13 -> 20 [size =\"43713536\"]\n  13 -> 21 [size =\"43713536\"]\n  13 -> 22 [size =\"43713536\"]\n  14 [size=\"45332480\", alpha=\"0.03\", expect_size=\"18132992\"] \n  14 -> 15 [size =\"18132992\"]\n  14 -> 19 [size =\"18132992\"]\n  14 -> 21 [size =\"18132992\"]\n  15 [size=\"57584640\", alpha=\"0.08\", expect_size=\"23033856\"] \n  15 -> 24 [size =\"23033856\"]\n  15 -> 24 [size =\"23033856\"]\n  15 -> 25 [size =\"23033856\"]\n  15 -> 27 [size =\"23033856\"]\n  16 [size=\"85688320\", alpha=\"0.08\", expect_size=\"34275328\"] \n  16 -> 24 [size =\"34275328\"]\n  16 -> 26 [size =\"34275328\"]\n  17 [size=\"124505600\", alpha=\"0.16\", expect_size=\"49802240\"] \n  17 -> 26 [size =\"49802240\"]\n  18 [size=\"31457280\", alpha=\"0.02\", expect_size=\"12582912\"] \n  18 -> 24 [size =\"12582912\"]\n  18 -> 25 [size =\"12582912\"]\n  18 -> 26 [size =\"12582912\"]\n  19 [size=\"97267200\", alpha=\"0.13\", expect_size=\"38906880\"] \n  19 -> 25 [size =\"38906880\"]\n  19 -> 26 [size =\"38906880\"]\n  20 [size=\"86574080\", alpha=\"0.11\", expect_size=\"34629632\"] \n  21 [size=\"27886080\", alpha=\"0.19\", expect_size=\"11154432\"] \n  21 -> 23 [size =\"11154432\"]\n  22 [size=\"24960000\", alpha=\"0.19\", expect_size=\"9984000\"] \n  22 -> 23 [size =\"9984000\"]\n  22 -> 24 [size =\"9984000\"]\n  22 -> 25 [size =\"9984000\"]\n  23 [size=\"32865280\", alpha=\"0.16\", expect_size=\"13146112\"] \n  23 -> 29 [size =\"13146112\"]\n  23 -> 31 [size =\"13146112\"]\n  23 -> 32 [size =\"13146112\"]\n  24 [size=\"19023360\", alpha=\"0.03\", expect_size=\"7609344\"] \n  25 [size=\"37693440\", alpha=\"0.16\", expect_size=\"15077376\"] \n  25 -> 28 [size =\"15077376\"]\n  25 -> 30 [size =\"15077376\"]\n  25 -> 32 [size =\"15077376\"]\n  26 [size=\"85683200\", alpha=\"0.07\", expect_size=\"34273280\"] \n  26 -> 28 [size =\"34273280\"]\n  26 -> 30 [size =\"34273280\"]\n  26 -> 31 [size =\"34273280\"]\n  26 -> 32 [size =\"34273280\"]\n  27 [size=\"17223680\", alpha=\"0.08\", expect_size=\"6889472\"] \n  27 -> 31 [size =\"6889472\"]\n  27 -> 32 [size =\"6889472\"]\n  28 [size=\"112496640\", alpha=\"0.07\", expect_size=\"44998656\"] \n  28 -> 33 [size =\"44998656\"]\n  28 -> 35 [size =\"44998656\"]\n  29 [size=\"121433600\", alpha=\"0.18\", expect_size=\"48573440\"] \n  29 -> 35 [size =\"48573440\"]\n  30 [size=\"78131200\", alpha=\"0.01\", expect_size=\"31252480\"] \n  30 -> 34 [size =\"31252480\"]\n  31 [size=\"26721280\", alpha=\"0.06\", expect_size=\"10688512\"] \n  31 -> 33 [size =\"10688512\"]\n  31 -> 34 [size =\"10688512\"]\n  32 [size=\"23723520\", alpha=\"0.19\", expect_size=\"9489408\"] \n  32 -> 35 [size =\"9489408\"]\n  33 [size=\"20480000\", alpha=\"0.09\", expect_size=\"8192000\"] \n  33 -> 37 [size =\"8192000\"]\n  33 -> 38 [size =\"8192000\"]\n  33 -> 39 [size =\"8192000\"]\n  33 -> 41 [size =\"8192000\"]\n  34 [size=\"115604480\", alpha=\"0.04\", expect_size=\"46241792\"] \n  34 -> 36 [size =\"46241792\"]\n  34 -> 39 [size =\"46241792\"]\n  34 -> 40 [size =\"46241792\"]\n  35 [size=\"13552640\", alpha=\"0.07\", expect_size=\"5421056\"] \n  35 -> 36 [size =\"5421056\"]\n  35 -> 37 [size =\"5421056\"]\n  35 -> 39 [size =\"5421056\"]\n  36 [size=\"110720000\", alpha=\"0.02\", expect_size=\"44288000\"] \n  36 -> 43 [size =\"44288000\"]\n  37 [size=\"33792000\", alpha=\"0.17\", expect_size=\"13516800\"] \n  37 -> 43 [size =\"13516800\"]\n  37 -> 44 [size =\"13516800\"]\n  37 -> 47 [size =\"13516800\"]\n  37 -> 48 [size =\"13516800\"]\n  38 [size=\"79923200\", alpha=\"0.14\", expect_size=\"31969280\"] \n  38 -> 42 [size =\"31969280\"]\n  38 -> 45 [size =\"31969280\"]\n  38 -> 46 [size =\"31969280\"]\n  38 -> 48 [size =\"31969280\"]\n  39 [size=\"122516480\", alpha=\"0.05\", expect_size=\"49006592\"] \n  39 -> 44 [size =\"49006592\"]\n  39 -> 45 [size =\"49006592\"]\n  39 -> 46 [size =\"49006592\"]\n  39 -> 47 [size =\"49006592\"]\n  40 [size=\"111101440\", alpha=\"0.09\", expect_size=\"44440576\"] \n  40 -> 46 [size =\"44440576\"]\n  40 -> 47 [size =\"44440576\"]\n  41 [size=\"117593600\", alpha=\"0.15\", expect_size=\"47037440\"] \n  41 -> 44 [size =\"47037440\"]\n  41 -> 46 [size =\"47037440\"]\n  41 -> 47 [size =\"47037440\"]\n  42 [size=\"32494080\", alpha=\"0.04\", expect_size=\"12997632\"] \n  43 [size=\"27440640\", alpha=\"0.16\", expect_size=\"10976256\"] \n  44 [size=\"80647680\", alpha=\"0.08\", expect_size=\"32259072\"] \n  45 [size=\"106375680\", alpha=\"0.05\", expect_size=\"42550272\"] \n  45 -> 49 [size =\"42550272\"]\n  46 [size=\"31137280\", alpha=\"0.15\", expect_size=\"12454912\"] \n  47 [size=\"45480960\", alpha=\"0.05\", expect_size=\"18192384\"] \n  48 [size=\"24872960\", alpha=\"0.11\", expect_size=\"9949184\"] \n  48 -> 50 [size =\"9949184\"]\n  49 [size=\"105633280\", alpha=\"0.17\", expect_size=\"42253312\"] \n  50 [size=\"18022400\", alpha=\"0.13\", expect_size=\"7208960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.334.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78559232\", alpha=\"0.12\", expect_size=\"39279616\"] \n  1 -> 16 [size =\"39279616\"]\n  1 -> 18 [size =\"39279616\"]\n  1 -> 20 [size =\"39279616\"]\n  1 -> 23 [size =\"39279616\"]\n  1 -> 29 [size =\"39279616\"]\n  2 [size=\"27990016\", alpha=\"0.03\", expect_size=\"13995008\"] \n  2 -> 17 [size =\"13995008\"]\n  2 -> 19 [size =\"13995008\"]\n  2 -> 23 [size =\"13995008\"]\n  2 -> 24 [size =\"13995008\"]\n  2 -> 26 [size =\"13995008\"]\n  2 -> 27 [size =\"13995008\"]\n  2 -> 28 [size =\"13995008\"]\n  2 -> 31 [size =\"13995008\"]\n  3 [size=\"57151488\", alpha=\"0.08\", expect_size=\"28575744\"] \n  3 -> 16 [size =\"28575744\"]\n  3 -> 17 [size =\"28575744\"]\n  3 -> 19 [size =\"28575744\"]\n  3 -> 22 [size =\"28575744\"]\n  3 -> 25 [size =\"28575744\"]\n  3 -> 26 [size =\"28575744\"]\n  3 -> 31 [size =\"28575744\"]\n  4 [size=\"29265920\", alpha=\"0.05\", expect_size=\"14632960\"] \n  4 -> 16 [size =\"14632960\"]\n  4 -> 18 [size =\"14632960\"]\n  4 -> 19 [size =\"14632960\"]\n  4 -> 22 [size =\"14632960\"]\n  4 -> 25 [size =\"14632960\"]\n  4 -> 29 [size =\"14632960\"]\n  5 [size=\"74985472\", alpha=\"0.08\", expect_size=\"37492736\"] \n  5 -> 16 [size =\"37492736\"]\n  5 -> 19 [size =\"37492736\"]\n  5 -> 20 [size =\"37492736\"]\n  5 -> 22 [size =\"37492736\"]\n  5 -> 24 [size =\"37492736\"]\n  5 -> 26 [size =\"37492736\"]\n  5 -> 31 [size =\"37492736\"]\n  6 [size=\"20402176\", alpha=\"0.20\", expect_size=\"10201088\"] \n  6 -> 16 [size =\"10201088\"]\n  6 -> 20 [size =\"10201088\"]\n  6 -> 22 [size =\"10201088\"]\n  6 -> 22 [size =\"10201088\"]\n  6 -> 25 [size =\"10201088\"]\n  6 -> 26 [size =\"10201088\"]\n  7 [size=\"25720832\", alpha=\"0.06\", expect_size=\"12860416\"] \n  7 -> 19 [size =\"12860416\"]\n  7 -> 26 [size =\"12860416\"]\n  8 [size=\"103020544\", alpha=\"0.18\", expect_size=\"51510272\"] \n  8 -> 18 [size =\"51510272\"]\n  8 -> 19 [size =\"51510272\"]\n  8 -> 21 [size =\"51510272\"]\n  8 -> 22 [size =\"51510272\"]\n  8 -> 23 [size =\"51510272\"]\n  9 [size=\"18440192\", alpha=\"0.13\", expect_size=\"9220096\"] \n  9 -> 19 [size =\"9220096\"]\n  9 -> 23 [size =\"9220096\"]\n  9 -> 27 [size =\"9220096\"]\n  10 [size=\"75014144\", alpha=\"0.19\", expect_size=\"37507072\"] \n  10 -> 16 [size =\"37507072\"]\n  10 -> 18 [size =\"37507072\"]\n  10 -> 19 [size =\"37507072\"]\n  10 -> 23 [size =\"37507072\"]\n  10 -> 27 [size =\"37507072\"]\n  10 -> 28 [size =\"37507072\"]\n  10 -> 29 [size =\"37507072\"]\n  11 [size=\"21446656\", alpha=\"0.18\", expect_size=\"10723328\"] \n  11 -> 16 [size =\"10723328\"]\n  11 -> 18 [size =\"10723328\"]\n  11 -> 23 [size =\"10723328\"]\n  11 -> 23 [size =\"10723328\"]\n  11 -> 27 [size =\"10723328\"]\n  11 -> 30 [size =\"10723328\"]\n  12 [size=\"78059520\", alpha=\"0.20\", expect_size=\"39029760\"] \n  12 -> 18 [size =\"39029760\"]\n  12 -> 18 [size =\"39029760\"]\n  13 [size=\"92489728\", alpha=\"0.14\", expect_size=\"46244864\"] \n  13 -> 18 [size =\"46244864\"]\n  13 -> 19 [size =\"46244864\"]\n  13 -> 21 [size =\"46244864\"]\n  13 -> 22 [size =\"46244864\"]\n  13 -> 26 [size =\"46244864\"]\n  13 -> 27 [size =\"46244864\"]\n  14 [size=\"35438592\", alpha=\"0.11\", expect_size=\"17719296\"] \n  14 -> 16 [size =\"17719296\"]\n  14 -> 18 [size =\"17719296\"]\n  14 -> 19 [size =\"17719296\"]\n  14 -> 23 [size =\"17719296\"]\n  14 -> 24 [size =\"17719296\"]\n  14 -> 26 [size =\"17719296\"]\n  14 -> 28 [size =\"17719296\"]\n  14 -> 29 [size =\"17719296\"]\n  15 [size=\"60116992\", alpha=\"0.01\", expect_size=\"30058496\"] \n  15 -> 18 [size =\"30058496\"]\n  15 -> 19 [size =\"30058496\"]\n  15 -> 20 [size =\"30058496\"]\n  15 -> 22 [size =\"30058496\"]\n  15 -> 23 [size =\"30058496\"]\n  15 -> 27 [size =\"30058496\"]\n  15 -> 28 [size =\"30058496\"]\n  15 -> 31 [size =\"30058496\"]\n  16 [size=\"96782336\", alpha=\"0.06\", expect_size=\"48391168\"] \n  16 -> 34 [size =\"48391168\"]\n  16 -> 37 [size =\"48391168\"]\n  16 -> 41 [size =\"48391168\"]\n  16 -> 42 [size =\"48391168\"]\n  16 -> 43 [size =\"48391168\"]\n  17 [size=\"94664704\", alpha=\"0.15\", expect_size=\"47332352\"] \n  17 -> 32 [size =\"47332352\"]\n  17 -> 36 [size =\"47332352\"]\n  17 -> 37 [size =\"47332352\"]\n  17 -> 38 [size =\"47332352\"]\n  18 [size=\"29065216\", alpha=\"0.00\", expect_size=\"14532608\"] \n  18 -> 32 [size =\"14532608\"]\n  18 -> 36 [size =\"14532608\"]\n  18 -> 37 [size =\"14532608\"]\n  18 -> 42 [size =\"14532608\"]\n  19 [size=\"21710848\", alpha=\"0.17\", expect_size=\"10855424\"] \n  19 -> 32 [size =\"10855424\"]\n  19 -> 40 [size =\"10855424\"]\n  20 [size=\"85194752\", alpha=\"0.08\", expect_size=\"42597376\"] \n  20 -> 32 [size =\"42597376\"]\n  20 -> 34 [size =\"42597376\"]\n  20 -> 36 [size =\"42597376\"]\n  20 -> 38 [size =\"42597376\"]\n  21 [size=\"78163968\", alpha=\"0.13\", expect_size=\"39081984\"] \n  21 -> 32 [size =\"39081984\"]\n  21 -> 35 [size =\"39081984\"]\n  21 -> 36 [size =\"39081984\"]\n  21 -> 37 [size =\"39081984\"]\n  21 -> 38 [size =\"39081984\"]\n  21 -> 43 [size =\"39081984\"]\n  22 [size=\"69380096\", alpha=\"0.01\", expect_size=\"34690048\"] \n  22 -> 36 [size =\"34690048\"]\n  22 -> 37 [size =\"34690048\"]\n  23 [size=\"67749888\", alpha=\"0.20\", expect_size=\"33874944\"] \n  23 -> 32 [size =\"33874944\"]\n  23 -> 34 [size =\"33874944\"]\n  23 -> 35 [size =\"33874944\"]\n  23 -> 37 [size =\"33874944\"]\n  23 -> 39 [size =\"33874944\"]\n  23 -> 40 [size =\"33874944\"]\n  23 -> 41 [size =\"33874944\"]\n  23 -> 43 [size =\"33874944\"]\n  24 [size=\"38756352\", alpha=\"0.02\", expect_size=\"19378176\"] \n  24 -> 32 [size =\"19378176\"]\n  24 -> 37 [size =\"19378176\"]\n  24 -> 42 [size =\"19378176\"]\n  25 [size=\"89696256\", alpha=\"0.18\", expect_size=\"44848128\"] \n  25 -> 32 [size =\"44848128\"]\n  25 -> 34 [size =\"44848128\"]\n  25 -> 35 [size =\"44848128\"]\n  25 -> 37 [size =\"44848128\"]\n  25 -> 38 [size =\"44848128\"]\n  25 -> 42 [size =\"44848128\"]\n  25 -> 43 [size =\"44848128\"]\n  26 [size=\"92545024\", alpha=\"0.16\", expect_size=\"46272512\"] \n  26 -> 34 [size =\"46272512\"]\n  26 -> 37 [size =\"46272512\"]\n  27 [size=\"24920064\", alpha=\"0.18\", expect_size=\"12460032\"] \n  27 -> 32 [size =\"12460032\"]\n  27 -> 34 [size =\"12460032\"]\n  27 -> 36 [size =\"12460032\"]\n  27 -> 39 [size =\"12460032\"]\n  27 -> 43 [size =\"12460032\"]\n  28 [size=\"97519616\", alpha=\"0.19\", expect_size=\"48759808\"] \n  28 -> 32 [size =\"48759808\"]\n  28 -> 36 [size =\"48759808\"]\n  28 -> 38 [size =\"48759808\"]\n  28 -> 40 [size =\"48759808\"]\n  28 -> 43 [size =\"48759808\"]\n  29 [size=\"99805184\", alpha=\"0.02\", expect_size=\"49902592\"] \n  29 -> 32 [size =\"49902592\"]\n  29 -> 34 [size =\"49902592\"]\n  29 -> 36 [size =\"49902592\"]\n  29 -> 39 [size =\"49902592\"]\n  29 -> 40 [size =\"49902592\"]\n  29 -> 42 [size =\"49902592\"]\n  29 -> 43 [size =\"49902592\"]\n  30 [size=\"87597056\", alpha=\"0.18\", expect_size=\"43798528\"] \n  30 -> 33 [size =\"43798528\"]\n  30 -> 36 [size =\"43798528\"]\n  30 -> 37 [size =\"43798528\"]\n  30 -> 42 [size =\"43798528\"]\n  31 [size=\"30150656\", alpha=\"0.17\", expect_size=\"15075328\"] \n  31 -> 32 [size =\"15075328\"]\n  31 -> 37 [size =\"15075328\"]\n  31 -> 37 [size =\"15075328\"]\n  31 -> 38 [size =\"15075328\"]\n  31 -> 42 [size =\"15075328\"]\n  32 [size=\"89915392\", alpha=\"0.10\", expect_size=\"44957696\"] \n  32 -> 45 [size =\"44957696\"]\n  32 -> 48 [size =\"44957696\"]\n  33 [size=\"95649792\", alpha=\"0.00\", expect_size=\"47824896\"] \n  33 -> 44 [size =\"47824896\"]\n  33 -> 45 [size =\"47824896\"]\n  33 -> 46 [size =\"47824896\"]\n  33 -> 47 [size =\"47824896\"]\n  33 -> 48 [size =\"47824896\"]\n  34 [size=\"94025728\", alpha=\"0.16\", expect_size=\"47012864\"] \n  34 -> 49 [size =\"47012864\"]\n  35 [size=\"103821312\", alpha=\"0.02\", expect_size=\"51910656\"] \n  35 -> 47 [size =\"51910656\"]\n  36 [size=\"95164416\", alpha=\"0.07\", expect_size=\"47582208\"] \n  36 -> 47 [size =\"47582208\"]\n  37 [size=\"77973504\", alpha=\"0.09\", expect_size=\"38986752\"] \n  37 -> 44 [size =\"38986752\"]\n  37 -> 48 [size =\"38986752\"]\n  38 [size=\"67487744\", alpha=\"0.15\", expect_size=\"33743872\"] \n  38 -> 47 [size =\"33743872\"]\n  39 [size=\"61865984\", alpha=\"0.04\", expect_size=\"30932992\"] \n  39 -> 50 [size =\"30932992\"]\n  40 [size=\"69068800\", alpha=\"0.08\", expect_size=\"34534400\"] \n  40 -> 45 [size =\"34534400\"]\n  41 [size=\"59250688\", alpha=\"0.07\", expect_size=\"29625344\"] \n  41 -> 44 [size =\"29625344\"]\n  41 -> 45 [size =\"29625344\"]\n  41 -> 47 [size =\"29625344\"]\n  41 -> 48 [size =\"29625344\"]\n  42 [size=\"43376640\", alpha=\"0.19\", expect_size=\"21688320\"] \n  42 -> 44 [size =\"21688320\"]\n  42 -> 45 [size =\"21688320\"]\n  42 -> 47 [size =\"21688320\"]\n  42 -> 50 [size =\"21688320\"]\n  43 [size=\"89018368\", alpha=\"0.02\", expect_size=\"44509184\"] \n  43 -> 44 [size =\"44509184\"]\n  43 -> 45 [size =\"44509184\"]\n  43 -> 48 [size =\"44509184\"]\n  44 [size=\"89438208\", alpha=\"0.11\", expect_size=\"44719104\"] \n  45 [size=\"69588992\", alpha=\"0.18\", expect_size=\"34794496\"] \n  46 [size=\"79104000\", alpha=\"0.01\", expect_size=\"39552000\"] \n  47 [size=\"15538176\", alpha=\"0.08\", expect_size=\"7769088\"] \n  48 [size=\"57440256\", alpha=\"0.13\", expect_size=\"28720128\"] \n  49 [size=\"34652160\", alpha=\"0.17\", expect_size=\"17326080\"] \n  50 [size=\"52766720\", alpha=\"0.18\", expect_size=\"26383360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.335.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73239893\", alpha=\"0.02\", expect_size=\"21971968\"] \n  1 -> 27 [size =\"21971968\"]\n  1 -> 28 [size =\"21971968\"]\n  1 -> 32 [size =\"21971968\"]\n  1 -> 34 [size =\"21971968\"]\n  1 -> 37 [size =\"21971968\"]\n  1 -> 38 [size =\"21971968\"]\n  1 -> 39 [size =\"21971968\"]\n  1 -> 41 [size =\"21971968\"]\n  1 -> 44 [size =\"21971968\"]\n  1 -> 45 [size =\"21971968\"]\n  1 -> 46 [size =\"21971968\"]\n  1 -> 47 [size =\"21971968\"]\n  1 -> 49 [size =\"21971968\"]\n  2 [size=\"162003627\", alpha=\"0.15\", expect_size=\"48601088\"] \n  2 -> 32 [size =\"48601088\"]\n  2 -> 33 [size =\"48601088\"]\n  2 -> 38 [size =\"48601088\"]\n  2 -> 39 [size =\"48601088\"]\n  2 -> 41 [size =\"48601088\"]\n  2 -> 44 [size =\"48601088\"]\n  2 -> 45 [size =\"48601088\"]\n  2 -> 46 [size =\"48601088\"]\n  2 -> 49 [size =\"48601088\"]\n  3 [size=\"124726613\", alpha=\"0.00\", expect_size=\"37417984\"] \n  3 -> 30 [size =\"37417984\"]\n  3 -> 32 [size =\"37417984\"]\n  3 -> 35 [size =\"37417984\"]\n  3 -> 40 [size =\"37417984\"]\n  3 -> 41 [size =\"37417984\"]\n  3 -> 44 [size =\"37417984\"]\n  3 -> 46 [size =\"37417984\"]\n  3 -> 46 [size =\"37417984\"]\n  3 -> 47 [size =\"37417984\"]\n  3 -> 49 [size =\"37417984\"]\n  4 [size=\"21893120\", alpha=\"0.06\", expect_size=\"6567936\"] \n  4 -> 27 [size =\"6567936\"]\n  4 -> 28 [size =\"6567936\"]\n  4 -> 29 [size =\"6567936\"]\n  4 -> 30 [size =\"6567936\"]\n  4 -> 32 [size =\"6567936\"]\n  4 -> 35 [size =\"6567936\"]\n  4 -> 36 [size =\"6567936\"]\n  4 -> 41 [size =\"6567936\"]\n  4 -> 43 [size =\"6567936\"]\n  4 -> 44 [size =\"6567936\"]\n  4 -> 46 [size =\"6567936\"]\n  4 -> 49 [size =\"6567936\"]\n  5 [size=\"146991787\", alpha=\"0.01\", expect_size=\"44097536\"] \n  5 -> 27 [size =\"44097536\"]\n  5 -> 30 [size =\"44097536\"]\n  5 -> 37 [size =\"44097536\"]\n  5 -> 41 [size =\"44097536\"]\n  5 -> 43 [size =\"44097536\"]\n  5 -> 44 [size =\"44097536\"]\n  5 -> 47 [size =\"44097536\"]\n  5 -> 49 [size =\"44097536\"]\n  6 [size=\"19193173\", alpha=\"0.08\", expect_size=\"5757952\"] \n  6 -> 27 [size =\"5757952\"]\n  6 -> 29 [size =\"5757952\"]\n  6 -> 35 [size =\"5757952\"]\n  6 -> 38 [size =\"5757952\"]\n  6 -> 40 [size =\"5757952\"]\n  6 -> 43 [size =\"5757952\"]\n  6 -> 45 [size =\"5757952\"]\n  6 -> 48 [size =\"5757952\"]\n  7 [size=\"157211307\", alpha=\"0.01\", expect_size=\"47163392\"] \n  7 -> 27 [size =\"47163392\"]\n  7 -> 31 [size =\"47163392\"]\n  7 -> 32 [size =\"47163392\"]\n  7 -> 35 [size =\"47163392\"]\n  7 -> 38 [size =\"47163392\"]\n  7 -> 40 [size =\"47163392\"]\n  7 -> 43 [size =\"47163392\"]\n  7 -> 44 [size =\"47163392\"]\n  7 -> 46 [size =\"47163392\"]\n  7 -> 49 [size =\"47163392\"]\n  8 [size=\"51572053\", alpha=\"0.08\", expect_size=\"15471616\"] \n  8 -> 27 [size =\"15471616\"]\n  8 -> 30 [size =\"15471616\"]\n  8 -> 33 [size =\"15471616\"]\n  8 -> 35 [size =\"15471616\"]\n  8 -> 41 [size =\"15471616\"]\n  8 -> 42 [size =\"15471616\"]\n  8 -> 43 [size =\"15471616\"]\n  8 -> 44 [size =\"15471616\"]\n  8 -> 45 [size =\"15471616\"]\n  8 -> 46 [size =\"15471616\"]\n  8 -> 47 [size =\"15471616\"]\n  8 -> 50 [size =\"15471616\"]\n  9 [size=\"121436160\", alpha=\"0.15\", expect_size=\"36430848\"] \n  9 -> 27 [size =\"36430848\"]\n  9 -> 29 [size =\"36430848\"]\n  9 -> 33 [size =\"36430848\"]\n  9 -> 39 [size =\"36430848\"]\n  9 -> 40 [size =\"36430848\"]\n  9 -> 41 [size =\"36430848\"]\n  9 -> 42 [size =\"36430848\"]\n  9 -> 43 [size =\"36430848\"]\n  9 -> 46 [size =\"36430848\"]\n  9 -> 46 [size =\"36430848\"]\n  9 -> 47 [size =\"36430848\"]\n  10 [size=\"89504427\", alpha=\"0.01\", expect_size=\"26851328\"] \n  10 -> 27 [size =\"26851328\"]\n  10 -> 30 [size =\"26851328\"]\n  10 -> 39 [size =\"26851328\"]\n  10 -> 42 [size =\"26851328\"]\n  10 -> 44 [size =\"26851328\"]\n  10 -> 46 [size =\"26851328\"]\n  10 -> 47 [size =\"26851328\"]\n  10 -> 48 [size =\"26851328\"]\n  11 [size=\"167707307\", alpha=\"0.03\", expect_size=\"50312192\"] \n  11 -> 30 [size =\"50312192\"]\n  11 -> 32 [size =\"50312192\"]\n  11 -> 35 [size =\"50312192\"]\n  11 -> 37 [size =\"50312192\"]\n  11 -> 40 [size =\"50312192\"]\n  11 -> 43 [size =\"50312192\"]\n  11 -> 47 [size =\"50312192\"]\n  12 [size=\"23876267\", alpha=\"0.19\", expect_size=\"7162880\"] \n  12 -> 27 [size =\"7162880\"]\n  12 -> 30 [size =\"7162880\"]\n  12 -> 33 [size =\"7162880\"]\n  12 -> 35 [size =\"7162880\"]\n  12 -> 38 [size =\"7162880\"]\n  12 -> 39 [size =\"7162880\"]\n  12 -> 40 [size =\"7162880\"]\n  12 -> 42 [size =\"7162880\"]\n  12 -> 44 [size =\"7162880\"]\n  13 [size=\"145121280\", alpha=\"0.15\", expect_size=\"43536384\"] \n  13 -> 27 [size =\"43536384\"]\n  13 -> 32 [size =\"43536384\"]\n  13 -> 35 [size =\"43536384\"]\n  13 -> 38 [size =\"43536384\"]\n  13 -> 39 [size =\"43536384\"]\n  13 -> 42 [size =\"43536384\"]\n  13 -> 45 [size =\"43536384\"]\n  13 -> 48 [size =\"43536384\"]\n  13 -> 49 [size =\"43536384\"]\n  14 [size=\"146343253\", alpha=\"0.19\", expect_size=\"43902976\"] \n  14 -> 28 [size =\"43902976\"]\n  14 -> 30 [size =\"43902976\"]\n  14 -> 32 [size =\"43902976\"]\n  14 -> 33 [size =\"43902976\"]\n  14 -> 39 [size =\"43902976\"]\n  14 -> 45 [size =\"43902976\"]\n  14 -> 46 [size =\"43902976\"]\n  14 -> 47 [size =\"43902976\"]\n  15 [size=\"35566933\", alpha=\"0.03\", expect_size=\"10670080\"] \n  15 -> 30 [size =\"10670080\"]\n  15 -> 32 [size =\"10670080\"]\n  15 -> 33 [size =\"10670080\"]\n  15 -> 38 [size =\"10670080\"]\n  15 -> 41 [size =\"10670080\"]\n  15 -> 42 [size =\"10670080\"]\n  15 -> 45 [size =\"10670080\"]\n  15 -> 46 [size =\"10670080\"]\n  15 -> 47 [size =\"10670080\"]\n  15 -> 49 [size =\"10670080\"]\n  16 [size=\"41611947\", alpha=\"0.08\", expect_size=\"12483584\"] \n  16 -> 28 [size =\"12483584\"]\n  16 -> 32 [size =\"12483584\"]\n  16 -> 34 [size =\"12483584\"]\n  16 -> 45 [size =\"12483584\"]\n  16 -> 50 [size =\"12483584\"]\n  17 [size=\"107485867\", alpha=\"0.19\", expect_size=\"32245760\"] \n  17 -> 38 [size =\"32245760\"]\n  17 -> 43 [size =\"32245760\"]\n  18 [size=\"116145493\", alpha=\"0.14\", expect_size=\"34843648\"] \n  18 -> 29 [size =\"34843648\"]\n  18 -> 30 [size =\"34843648\"]\n  18 -> 31 [size =\"34843648\"]\n  18 -> 38 [size =\"34843648\"]\n  18 -> 44 [size =\"34843648\"]\n  18 -> 45 [size =\"34843648\"]\n  18 -> 47 [size =\"34843648\"]\n  18 -> 48 [size =\"34843648\"]\n  18 -> 49 [size =\"34843648\"]\n  19 [size=\"25658027\", alpha=\"0.00\", expect_size=\"7697408\"] \n  19 -> 29 [size =\"7697408\"]\n  19 -> 36 [size =\"7697408\"]\n  19 -> 40 [size =\"7697408\"]\n  19 -> 41 [size =\"7697408\"]\n  19 -> 43 [size =\"7697408\"]\n  19 -> 45 [size =\"7697408\"]\n  19 -> 47 [size =\"7697408\"]\n  20 [size=\"143923200\", alpha=\"0.08\", expect_size=\"43176960\"] \n  20 -> 29 [size =\"43176960\"]\n  20 -> 35 [size =\"43176960\"]\n  20 -> 38 [size =\"43176960\"]\n  20 -> 40 [size =\"43176960\"]\n  20 -> 41 [size =\"43176960\"]\n  20 -> 42 [size =\"43176960\"]\n  20 -> 45 [size =\"43176960\"]\n  21 [size=\"154074453\", alpha=\"0.03\", expect_size=\"46222336\"] \n  21 -> 27 [size =\"46222336\"]\n  21 -> 29 [size =\"46222336\"]\n  21 -> 33 [size =\"46222336\"]\n  21 -> 35 [size =\"46222336\"]\n  21 -> 42 [size =\"46222336\"]\n  21 -> 47 [size =\"46222336\"]\n  22 [size=\"17674240\", alpha=\"0.16\", expect_size=\"5302272\"] \n  22 -> 27 [size =\"5302272\"]\n  22 -> 29 [size =\"5302272\"]\n  22 -> 33 [size =\"5302272\"]\n  22 -> 35 [size =\"5302272\"]\n  23 [size=\"167028053\", alpha=\"0.03\", expect_size=\"50108416\"] \n  23 -> 27 [size =\"50108416\"]\n  23 -> 28 [size =\"50108416\"]\n  23 -> 29 [size =\"50108416\"]\n  23 -> 30 [size =\"50108416\"]\n  23 -> 34 [size =\"50108416\"]\n  23 -> 35 [size =\"50108416\"]\n  23 -> 39 [size =\"50108416\"]\n  23 -> 40 [size =\"50108416\"]\n  23 -> 42 [size =\"50108416\"]\n  23 -> 44 [size =\"50108416\"]\n  23 -> 49 [size =\"50108416\"]\n  24 [size=\"130177707\", alpha=\"0.10\", expect_size=\"39053312\"] \n  24 -> 29 [size =\"39053312\"]\n  24 -> 32 [size =\"39053312\"]\n  24 -> 33 [size =\"39053312\"]\n  24 -> 38 [size =\"39053312\"]\n  24 -> 41 [size =\"39053312\"]\n  24 -> 45 [size =\"39053312\"]\n  24 -> 46 [size =\"39053312\"]\n  24 -> 47 [size =\"39053312\"]\n  24 -> 49 [size =\"39053312\"]\n  24 -> 50 [size =\"39053312\"]\n  25 [size=\"123333973\", alpha=\"0.14\", expect_size=\"37000192\"] \n  25 -> 27 [size =\"37000192\"]\n  25 -> 28 [size =\"37000192\"]\n  25 -> 30 [size =\"37000192\"]\n  25 -> 32 [size =\"37000192\"]\n  25 -> 34 [size =\"37000192\"]\n  25 -> 38 [size =\"37000192\"]\n  25 -> 41 [size =\"37000192\"]\n  25 -> 45 [size =\"37000192\"]\n  25 -> 47 [size =\"37000192\"]\n  26 [size=\"143568213\", alpha=\"0.18\", expect_size=\"43070464\"] \n  26 -> 31 [size =\"43070464\"]\n  26 -> 32 [size =\"43070464\"]\n  26 -> 33 [size =\"43070464\"]\n  26 -> 35 [size =\"43070464\"]\n  26 -> 37 [size =\"43070464\"]\n  26 -> 38 [size =\"43070464\"]\n  26 -> 41 [size =\"43070464\"]\n  26 -> 42 [size =\"43070464\"]\n  26 -> 44 [size =\"43070464\"]\n  26 -> 45 [size =\"43070464\"]\n  26 -> 46 [size =\"43070464\"]\n  26 -> 47 [size =\"43070464\"]\n  26 -> 49 [size =\"43070464\"]\n  27 [size=\"48175787\", alpha=\"0.20\", expect_size=\"14452736\"] \n  28 [size=\"43083093\", alpha=\"0.06\", expect_size=\"12924928\"] \n  29 [size=\"155968853\", alpha=\"0.05\", expect_size=\"46790656\"] \n  30 [size=\"158211413\", alpha=\"0.14\", expect_size=\"47463424\"] \n  31 [size=\"63767893\", alpha=\"0.02\", expect_size=\"19130368\"] \n  32 [size=\"85695147\", alpha=\"0.10\", expect_size=\"25708544\"] \n  33 [size=\"53944320\", alpha=\"0.15\", expect_size=\"16183296\"] \n  34 [size=\"75772587\", alpha=\"0.16\", expect_size=\"22731776\"] \n  35 [size=\"155596800\", alpha=\"0.19\", expect_size=\"46679040\"] \n  36 [size=\"108356267\", alpha=\"0.06\", expect_size=\"32506880\"] \n  37 [size=\"93057707\", alpha=\"0.04\", expect_size=\"27917312\"] \n  38 [size=\"92153173\", alpha=\"0.14\", expect_size=\"27645952\"] \n  39 [size=\"139738453\", alpha=\"0.06\", expect_size=\"41921536\"] \n  40 [size=\"25200640\", alpha=\"0.13\", expect_size=\"7560192\"] \n  41 [size=\"135144107\", alpha=\"0.18\", expect_size=\"40543232\"] \n  42 [size=\"147944107\", alpha=\"0.03\", expect_size=\"44383232\"] \n  43 [size=\"69997227\", alpha=\"0.07\", expect_size=\"20999168\"] \n  44 [size=\"28951893\", alpha=\"0.05\", expect_size=\"8685568\"] \n  45 [size=\"153678507\", alpha=\"0.17\", expect_size=\"46103552\"] \n  46 [size=\"147698347\", alpha=\"0.05\", expect_size=\"44309504\"] \n  47 [size=\"35150507\", alpha=\"0.16\", expect_size=\"10545152\"] \n  48 [size=\"63324160\", alpha=\"0.11\", expect_size=\"18997248\"] \n  49 [size=\"173615787\", alpha=\"0.04\", expect_size=\"52084736\"] \n  50 [size=\"59624107\", alpha=\"0.14\", expect_size=\"17887232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.336.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14643200\", alpha=\"0.19\", expect_size=\"7321600\"] \n  2 [size=\"55011328\", alpha=\"0.08\", expect_size=\"27505664\"] \n  2 -> 5 [size =\"27505664\"]\n  3 [size=\"66680832\", alpha=\"0.19\", expect_size=\"33340416\"] \n  3 -> 4 [size =\"33340416\"]\n  4 [size=\"20224000\", alpha=\"0.10\", expect_size=\"10112000\"] \n  4 -> 6 [size =\"10112000\"]\n  4 -> 7 [size =\"10112000\"]\n  4 -> 8 [size =\"10112000\"]\n  5 [size=\"51030016\", alpha=\"0.04\", expect_size=\"25515008\"] \n  5 -> 7 [size =\"25515008\"]\n  5 -> 8 [size =\"25515008\"]\n  6 [size=\"94185472\", alpha=\"0.15\", expect_size=\"47092736\"] \n  6 -> 9 [size =\"47092736\"]\n  6 -> 11 [size =\"47092736\"]\n  7 [size=\"34291712\", alpha=\"0.15\", expect_size=\"17145856\"] \n  7 -> 10 [size =\"17145856\"]\n  8 [size=\"84502528\", alpha=\"0.15\", expect_size=\"42251264\"] \n  8 -> 9 [size =\"42251264\"]\n  8 -> 10 [size =\"42251264\"]\n  8 -> 11 [size =\"42251264\"]\n  9 [size=\"75603968\", alpha=\"0.17\", expect_size=\"37801984\"] \n  9 -> 13 [size =\"37801984\"]\n  10 [size=\"67063808\", alpha=\"0.00\", expect_size=\"33531904\"] \n  10 -> 12 [size =\"33531904\"]\n  10 -> 13 [size =\"33531904\"]\n  11 [size=\"90851328\", alpha=\"0.04\", expect_size=\"45425664\"] \n  11 -> 13 [size =\"45425664\"]\n  12 [size=\"88244224\", alpha=\"0.18\", expect_size=\"44122112\"] \n  12 -> 14 [size =\"44122112\"]\n  13 [size=\"31389696\", alpha=\"0.13\", expect_size=\"15694848\"] \n  13 -> 15 [size =\"15694848\"]\n  14 [size=\"27078656\", alpha=\"0.15\", expect_size=\"13539328\"] \n  14 -> 17 [size =\"13539328\"]\n  14 -> 18 [size =\"13539328\"]\n  15 [size=\"73078784\", alpha=\"0.18\", expect_size=\"36539392\"] \n  15 -> 16 [size =\"36539392\"]\n  15 -> 17 [size =\"36539392\"]\n  15 -> 18 [size =\"36539392\"]\n  16 [size=\"91994112\", alpha=\"0.07\", expect_size=\"45997056\"] \n  17 [size=\"67905536\", alpha=\"0.02\", expect_size=\"33952768\"] \n  17 -> 19 [size =\"33952768\"]\n  17 -> 20 [size =\"33952768\"]\n  18 [size=\"43073536\", alpha=\"0.15\", expect_size=\"21536768\"] \n  19 [size=\"18378752\", alpha=\"0.04\", expect_size=\"9189376\"] \n  19 -> 21 [size =\"9189376\"]\n  19 -> 22 [size =\"9189376\"]\n  20 [size=\"97591296\", alpha=\"0.04\", expect_size=\"48795648\"] \n  20 -> 21 [size =\"48795648\"]\n  21 [size=\"97812480\", alpha=\"0.04\", expect_size=\"48906240\"] \n  21 -> 23 [size =\"48906240\"]\n  21 -> 24 [size =\"48906240\"]\n  21 -> 25 [size =\"48906240\"]\n  22 [size=\"22216704\", alpha=\"0.14\", expect_size=\"11108352\"] \n  22 -> 23 [size =\"11108352\"]\n  22 -> 24 [size =\"11108352\"]\n  22 -> 25 [size =\"11108352\"]\n  23 [size=\"15136768\", alpha=\"0.17\", expect_size=\"7568384\"] \n  23 -> 26 [size =\"7568384\"]\n  23 -> 27 [size =\"7568384\"]\n  23 -> 28 [size =\"7568384\"]\n  24 [size=\"74825728\", alpha=\"0.01\", expect_size=\"37412864\"] \n  24 -> 26 [size =\"37412864\"]\n  24 -> 27 [size =\"37412864\"]\n  24 -> 28 [size =\"37412864\"]\n  25 [size=\"53452800\", alpha=\"0.13\", expect_size=\"26726400\"] \n  25 -> 27 [size =\"26726400\"]\n  25 -> 28 [size =\"26726400\"]\n  26 [size=\"42002432\", alpha=\"0.04\", expect_size=\"21001216\"] \n  26 -> 30 [size =\"21001216\"]\n  27 [size=\"74973184\", alpha=\"0.19\", expect_size=\"37486592\"] \n  28 [size=\"86185984\", alpha=\"0.11\", expect_size=\"43092992\"] \n  28 -> 29 [size =\"43092992\"]\n  28 -> 31 [size =\"43092992\"]\n  29 [size=\"62308352\", alpha=\"0.16\", expect_size=\"31154176\"] \n  29 -> 32 [size =\"31154176\"]\n  30 [size=\"80218112\", alpha=\"0.12\", expect_size=\"40109056\"] \n  30 -> 33 [size =\"40109056\"]\n  31 [size=\"97335296\", alpha=\"0.07\", expect_size=\"48667648\"] \n  31 -> 32 [size =\"48667648\"]\n  31 -> 33 [size =\"48667648\"]\n  32 [size=\"23449600\", alpha=\"0.17\", expect_size=\"11724800\"] \n  32 -> 34 [size =\"11724800\"]\n  32 -> 35 [size =\"11724800\"]\n  33 [size=\"91828224\", alpha=\"0.12\", expect_size=\"45914112\"] \n  33 -> 34 [size =\"45914112\"]\n  33 -> 35 [size =\"45914112\"]\n  33 -> 36 [size =\"45914112\"]\n  34 [size=\"75554816\", alpha=\"0.10\", expect_size=\"37777408\"] \n  35 [size=\"78737408\", alpha=\"0.02\", expect_size=\"39368704\"] \n  35 -> 37 [size =\"39368704\"]\n  35 -> 39 [size =\"39368704\"]\n  36 [size=\"47550464\", alpha=\"0.11\", expect_size=\"23775232\"] \n  36 -> 37 [size =\"23775232\"]\n  36 -> 38 [size =\"23775232\"]\n  36 -> 39 [size =\"23775232\"]\n  37 [size=\"65697792\", alpha=\"0.12\", expect_size=\"32848896\"] \n  37 -> 40 [size =\"32848896\"]\n  38 [size=\"62611456\", alpha=\"0.00\", expect_size=\"31305728\"] \n  39 [size=\"17936384\", alpha=\"0.10\", expect_size=\"8968192\"] \n  39 -> 40 [size =\"8968192\"]\n  39 -> 41 [size =\"8968192\"]\n  40 [size=\"91166720\", alpha=\"0.18\", expect_size=\"45583360\"] \n  40 -> 42 [size =\"45583360\"]\n  40 -> 44 [size =\"45583360\"]\n  41 [size=\"55764992\", alpha=\"0.05\", expect_size=\"27882496\"] \n  41 -> 42 [size =\"27882496\"]\n  41 -> 43 [size =\"27882496\"]\n  41 -> 44 [size =\"27882496\"]\n  42 [size=\"86468608\", alpha=\"0.14\", expect_size=\"43234304\"] \n  42 -> 45 [size =\"43234304\"]\n  42 -> 46 [size =\"43234304\"]\n  43 [size=\"72294400\", alpha=\"0.04\", expect_size=\"36147200\"] \n  43 -> 45 [size =\"36147200\"]\n  43 -> 47 [size =\"36147200\"]\n  44 [size=\"34148352\", alpha=\"0.08\", expect_size=\"17074176\"] \n  44 -> 46 [size =\"17074176\"]\n  45 [size=\"82993152\", alpha=\"0.01\", expect_size=\"41496576\"] \n  45 -> 49 [size =\"41496576\"]\n  46 [size=\"92680192\", alpha=\"0.00\", expect_size=\"46340096\"] \n  46 -> 48 [size =\"46340096\"]\n  47 [size=\"50348032\", alpha=\"0.14\", expect_size=\"25174016\"] \n  47 -> 48 [size =\"25174016\"]\n  48 [size=\"13418496\", alpha=\"0.03\", expect_size=\"6709248\"] \n  48 -> 50 [size =\"6709248\"]\n  49 [size=\"14479360\", alpha=\"0.03\", expect_size=\"7239680\"] \n  50 [size=\"61423616\", alpha=\"0.18\", expect_size=\"30711808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.337.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18417664\", alpha=\"0.07\", expect_size=\"9208832\"] \n  1 -> 2 [size =\"9208832\"]\n  2 [size=\"101378048\", alpha=\"0.11\", expect_size=\"50689024\"] \n  2 -> 3 [size =\"50689024\"]\n  3 [size=\"87908352\", alpha=\"0.03\", expect_size=\"43954176\"] \n  3 -> 4 [size =\"43954176\"]\n  4 [size=\"53985280\", alpha=\"0.00\", expect_size=\"26992640\"] \n  4 -> 5 [size =\"26992640\"]\n  5 [size=\"43640832\", alpha=\"0.09\", expect_size=\"21820416\"] \n  5 -> 6 [size =\"21820416\"]\n  6 [size=\"19447808\", alpha=\"0.14\", expect_size=\"9723904\"] \n  6 -> 7 [size =\"9723904\"]\n  7 [size=\"20393984\", alpha=\"0.08\", expect_size=\"10196992\"] \n  7 -> 8 [size =\"10196992\"]\n  8 [size=\"83777536\", alpha=\"0.15\", expect_size=\"41888768\"] \n  8 -> 9 [size =\"41888768\"]\n  9 [size=\"81508352\", alpha=\"0.18\", expect_size=\"40754176\"] \n  9 -> 10 [size =\"40754176\"]\n  10 [size=\"34011136\", alpha=\"0.12\", expect_size=\"17005568\"] \n  10 -> 11 [size =\"17005568\"]\n  11 [size=\"38436864\", alpha=\"0.01\", expect_size=\"19218432\"] \n  11 -> 12 [size =\"19218432\"]\n  12 [size=\"71763968\", alpha=\"0.14\", expect_size=\"35881984\"] \n  12 -> 13 [size =\"35881984\"]\n  13 [size=\"28358656\", alpha=\"0.17\", expect_size=\"14179328\"] \n  13 -> 14 [size =\"14179328\"]\n  14 [size=\"41656320\", alpha=\"0.05\", expect_size=\"20828160\"] \n  14 -> 15 [size =\"20828160\"]\n  15 [size=\"43270144\", alpha=\"0.10\", expect_size=\"21635072\"] \n  15 -> 16 [size =\"21635072\"]\n  16 [size=\"87025664\", alpha=\"0.10\", expect_size=\"43512832\"] \n  16 -> 17 [size =\"43512832\"]\n  17 [size=\"60461056\", alpha=\"0.14\", expect_size=\"30230528\"] \n  17 -> 18 [size =\"30230528\"]\n  18 [size=\"96753664\", alpha=\"0.12\", expect_size=\"48376832\"] \n  18 -> 19 [size =\"48376832\"]\n  19 [size=\"71737344\", alpha=\"0.14\", expect_size=\"35868672\"] \n  19 -> 20 [size =\"35868672\"]\n  20 [size=\"60909568\", alpha=\"0.07\", expect_size=\"30454784\"] \n  20 -> 21 [size =\"30454784\"]\n  21 [size=\"24629248\", alpha=\"0.01\", expect_size=\"12314624\"] \n  21 -> 22 [size =\"12314624\"]\n  22 [size=\"28192768\", alpha=\"0.15\", expect_size=\"14096384\"] \n  22 -> 23 [size =\"14096384\"]\n  23 [size=\"92147712\", alpha=\"0.05\", expect_size=\"46073856\"] \n  23 -> 24 [size =\"46073856\"]\n  24 [size=\"76759040\", alpha=\"0.04\", expect_size=\"38379520\"] \n  24 -> 25 [size =\"38379520\"]\n  25 [size=\"98652160\", alpha=\"0.11\", expect_size=\"49326080\"] \n  25 -> 26 [size =\"49326080\"]\n  26 [size=\"53000192\", alpha=\"0.19\", expect_size=\"26500096\"] \n  26 -> 27 [size =\"26500096\"]\n  27 [size=\"101675008\", alpha=\"0.09\", expect_size=\"50837504\"] \n  27 -> 28 [size =\"50837504\"]\n  28 [size=\"72126464\", alpha=\"0.15\", expect_size=\"36063232\"] \n  28 -> 29 [size =\"36063232\"]\n  29 [size=\"32620544\", alpha=\"0.16\", expect_size=\"16310272\"] \n  29 -> 30 [size =\"16310272\"]\n  30 [size=\"99573760\", alpha=\"0.02\", expect_size=\"49786880\"] \n  30 -> 31 [size =\"49786880\"]\n  31 [size=\"37744640\", alpha=\"0.13\", expect_size=\"18872320\"] \n  31 -> 32 [size =\"18872320\"]\n  32 [size=\"43812864\", alpha=\"0.18\", expect_size=\"21906432\"] \n  32 -> 33 [size =\"21906432\"]\n  33 [size=\"19924992\", alpha=\"0.07\", expect_size=\"9962496\"] \n  33 -> 34 [size =\"9962496\"]\n  34 [size=\"43507712\", alpha=\"0.02\", expect_size=\"21753856\"] \n  34 -> 35 [size =\"21753856\"]\n  35 [size=\"63688704\", alpha=\"0.04\", expect_size=\"31844352\"] \n  35 -> 36 [size =\"31844352\"]\n  36 [size=\"19251200\", alpha=\"0.03\", expect_size=\"9625600\"] \n  36 -> 37 [size =\"9625600\"]\n  37 [size=\"13531136\", alpha=\"0.11\", expect_size=\"6765568\"] \n  37 -> 38 [size =\"6765568\"]\n  38 [size=\"56438784\", alpha=\"0.19\", expect_size=\"28219392\"] \n  38 -> 39 [size =\"28219392\"]\n  39 [size=\"32520192\", alpha=\"0.19\", expect_size=\"16260096\"] \n  39 -> 40 [size =\"16260096\"]\n  40 [size=\"12800000\", alpha=\"0.10\", expect_size=\"6400000\"] \n  40 -> 41 [size =\"6400000\"]\n  41 [size=\"20803584\", alpha=\"0.04\", expect_size=\"10401792\"] \n  41 -> 42 [size =\"10401792\"]\n  42 [size=\"84486144\", alpha=\"0.01\", expect_size=\"42243072\"] \n  42 -> 43 [size =\"42243072\"]\n  43 [size=\"76380160\", alpha=\"0.16\", expect_size=\"38190080\"] \n  43 -> 44 [size =\"38190080\"]\n  44 [size=\"14360576\", alpha=\"0.05\", expect_size=\"7180288\"] \n  44 -> 45 [size =\"7180288\"]\n  45 [size=\"23969792\", alpha=\"0.13\", expect_size=\"11984896\"] \n  45 -> 46 [size =\"11984896\"]\n  46 [size=\"43620352\", alpha=\"0.10\", expect_size=\"21810176\"] \n  46 -> 47 [size =\"21810176\"]\n  47 [size=\"55484416\", alpha=\"0.06\", expect_size=\"27742208\"] \n  47 -> 48 [size =\"27742208\"]\n  48 [size=\"15165440\", alpha=\"0.15\", expect_size=\"7582720\"] \n  48 -> 49 [size =\"7582720\"]\n  49 [size=\"103305216\", alpha=\"0.08\", expect_size=\"51652608\"] \n  49 -> 50 [size =\"51652608\"]\n  50 [size=\"98041856\", alpha=\"0.01\", expect_size=\"49020928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.338.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95078400\", alpha=\"0.20\", expect_size=\"38031360\"] \n  1 -> 15 [size =\"38031360\"]\n  1 -> 16 [size =\"38031360\"]\n  1 -> 22 [size =\"38031360\"]\n  1 -> 24 [size =\"38031360\"]\n  1 -> 25 [size =\"38031360\"]\n  1 -> 26 [size =\"38031360\"]\n  1 -> 27 [size =\"38031360\"]\n  2 [size=\"18667520\", alpha=\"0.17\", expect_size=\"7467008\"] \n  2 -> 15 [size =\"7467008\"]\n  2 -> 16 [size =\"7467008\"]\n  2 -> 19 [size =\"7467008\"]\n  2 -> 25 [size =\"7467008\"]\n  2 -> 26 [size =\"7467008\"]\n  2 -> 26 [size =\"7467008\"]\n  3 [size=\"21585920\", alpha=\"0.12\", expect_size=\"8634368\"] \n  3 -> 15 [size =\"8634368\"]\n  3 -> 17 [size =\"8634368\"]\n  3 -> 20 [size =\"8634368\"]\n  3 -> 27 [size =\"8634368\"]\n  4 [size=\"26677760\", alpha=\"0.19\", expect_size=\"10671104\"] \n  4 -> 21 [size =\"10671104\"]\n  4 -> 26 [size =\"10671104\"]\n  4 -> 27 [size =\"10671104\"]\n  5 [size=\"29440000\", alpha=\"0.19\", expect_size=\"11776000\"] \n  5 -> 15 [size =\"11776000\"]\n  6 [size=\"119549440\", alpha=\"0.08\", expect_size=\"47819776\"] \n  6 -> 18 [size =\"47819776\"]\n  6 -> 20 [size =\"47819776\"]\n  6 -> 24 [size =\"47819776\"]\n  6 -> 25 [size =\"47819776\"]\n  6 -> 27 [size =\"47819776\"]\n  7 [size=\"105932800\", alpha=\"0.03\", expect_size=\"42373120\"] \n  7 -> 16 [size =\"42373120\"]\n  7 -> 20 [size =\"42373120\"]\n  7 -> 23 [size =\"42373120\"]\n  7 -> 25 [size =\"42373120\"]\n  7 -> 27 [size =\"42373120\"]\n  8 [size=\"109647360\", alpha=\"0.20\", expect_size=\"43858944\"] \n  8 -> 15 [size =\"43858944\"]\n  8 -> 20 [size =\"43858944\"]\n  8 -> 27 [size =\"43858944\"]\n  9 [size=\"110827520\", alpha=\"0.02\", expect_size=\"44331008\"] \n  9 -> 16 [size =\"44331008\"]\n  9 -> 20 [size =\"44331008\"]\n  9 -> 22 [size =\"44331008\"]\n  9 -> 24 [size =\"44331008\"]\n  9 -> 26 [size =\"44331008\"]\n  9 -> 27 [size =\"44331008\"]\n  10 [size=\"47933440\", alpha=\"0.16\", expect_size=\"19173376\"] \n  10 -> 15 [size =\"19173376\"]\n  10 -> 17 [size =\"19173376\"]\n  10 -> 19 [size =\"19173376\"]\n  10 -> 20 [size =\"19173376\"]\n  10 -> 21 [size =\"19173376\"]\n  10 -> 24 [size =\"19173376\"]\n  11 [size=\"47180800\", alpha=\"0.11\", expect_size=\"18872320\"] \n  11 -> 16 [size =\"18872320\"]\n  11 -> 20 [size =\"18872320\"]\n  11 -> 24 [size =\"18872320\"]\n  12 [size=\"45826560\", alpha=\"0.11\", expect_size=\"18330624\"] \n  12 -> 15 [size =\"18330624\"]\n  12 -> 16 [size =\"18330624\"]\n  12 -> 22 [size =\"18330624\"]\n  12 -> 24 [size =\"18330624\"]\n  12 -> 28 [size =\"18330624\"]\n  13 [size=\"25879040\", alpha=\"0.11\", expect_size=\"10351616\"] \n  13 -> 15 [size =\"10351616\"]\n  13 -> 16 [size =\"10351616\"]\n  13 -> 17 [size =\"10351616\"]\n  13 -> 18 [size =\"10351616\"]\n  13 -> 22 [size =\"10351616\"]\n  13 -> 27 [size =\"10351616\"]\n  14 [size=\"97456640\", alpha=\"0.17\", expect_size=\"38982656\"] \n  14 -> 15 [size =\"38982656\"]\n  14 -> 17 [size =\"38982656\"]\n  14 -> 22 [size =\"38982656\"]\n  14 -> 24 [size =\"38982656\"]\n  14 -> 27 [size =\"38982656\"]\n  15 [size=\"90339840\", alpha=\"0.09\", expect_size=\"36135936\"] \n  15 -> 29 [size =\"36135936\"]\n  15 -> 33 [size =\"36135936\"]\n  15 -> 34 [size =\"36135936\"]\n  15 -> 40 [size =\"36135936\"]\n  16 [size=\"82803200\", alpha=\"0.16\", expect_size=\"33121280\"] \n  16 -> 29 [size =\"33121280\"]\n  16 -> 30 [size =\"33121280\"]\n  16 -> 33 [size =\"33121280\"]\n  16 -> 39 [size =\"33121280\"]\n  16 -> 40 [size =\"33121280\"]\n  16 -> 42 [size =\"33121280\"]\n  17 [size=\"13675520\", alpha=\"0.15\", expect_size=\"5470208\"] \n  17 -> 29 [size =\"5470208\"]\n  17 -> 33 [size =\"5470208\"]\n  17 -> 33 [size =\"5470208\"]\n  17 -> 34 [size =\"5470208\"]\n  17 -> 35 [size =\"5470208\"]\n  17 -> 36 [size =\"5470208\"]\n  17 -> 37 [size =\"5470208\"]\n  17 -> 38 [size =\"5470208\"]\n  17 -> 42 [size =\"5470208\"]\n  17 -> 44 [size =\"5470208\"]\n  18 [size=\"30794240\", alpha=\"0.04\", expect_size=\"12317696\"] \n  18 -> 29 [size =\"12317696\"]\n  18 -> 30 [size =\"12317696\"]\n  18 -> 36 [size =\"12317696\"]\n  18 -> 39 [size =\"12317696\"]\n  18 -> 42 [size =\"12317696\"]\n  18 -> 43 [size =\"12317696\"]\n  19 [size=\"29675520\", alpha=\"0.11\", expect_size=\"11870208\"] \n  19 -> 29 [size =\"11870208\"]\n  19 -> 30 [size =\"11870208\"]\n  19 -> 31 [size =\"11870208\"]\n  19 -> 33 [size =\"11870208\"]\n  19 -> 42 [size =\"11870208\"]\n  19 -> 44 [size =\"11870208\"]\n  20 [size=\"42237440\", alpha=\"0.08\", expect_size=\"16894976\"] \n  20 -> 31 [size =\"16894976\"]\n  20 -> 42 [size =\"16894976\"]\n  20 -> 44 [size =\"16894976\"]\n  21 [size=\"16471040\", alpha=\"0.19\", expect_size=\"6588416\"] \n  21 -> 30 [size =\"6588416\"]\n  21 -> 31 [size =\"6588416\"]\n  21 -> 32 [size =\"6588416\"]\n  21 -> 33 [size =\"6588416\"]\n  21 -> 36 [size =\"6588416\"]\n  21 -> 38 [size =\"6588416\"]\n  21 -> 42 [size =\"6588416\"]\n  21 -> 44 [size =\"6588416\"]\n  22 [size=\"79111680\", alpha=\"0.10\", expect_size=\"31644672\"] \n  22 -> 31 [size =\"31644672\"]\n  22 -> 31 [size =\"31644672\"]\n  22 -> 33 [size =\"31644672\"]\n  22 -> 38 [size =\"31644672\"]\n  22 -> 42 [size =\"31644672\"]\n  22 -> 44 [size =\"31644672\"]\n  22 -> 45 [size =\"31644672\"]\n  23 [size=\"26329600\", alpha=\"0.04\", expect_size=\"10531840\"] \n  23 -> 29 [size =\"10531840\"]\n  23 -> 30 [size =\"10531840\"]\n  23 -> 31 [size =\"10531840\"]\n  23 -> 34 [size =\"10531840\"]\n  23 -> 39 [size =\"10531840\"]\n  23 -> 41 [size =\"10531840\"]\n  23 -> 42 [size =\"10531840\"]\n  23 -> 44 [size =\"10531840\"]\n  24 [size=\"92398080\", alpha=\"0.19\", expect_size=\"36959232\"] \n  24 -> 30 [size =\"36959232\"]\n  24 -> 30 [size =\"36959232\"]\n  24 -> 31 [size =\"36959232\"]\n  24 -> 32 [size =\"36959232\"]\n  24 -> 34 [size =\"36959232\"]\n  24 -> 36 [size =\"36959232\"]\n  24 -> 39 [size =\"36959232\"]\n  24 -> 44 [size =\"36959232\"]\n  25 [size=\"73850880\", alpha=\"0.17\", expect_size=\"29540352\"] \n  25 -> 30 [size =\"29540352\"]\n  25 -> 33 [size =\"29540352\"]\n  25 -> 38 [size =\"29540352\"]\n  25 -> 39 [size =\"29540352\"]\n  26 [size=\"127027200\", alpha=\"0.14\", expect_size=\"50810880\"] \n  26 -> 29 [size =\"50810880\"]\n  26 -> 30 [size =\"50810880\"]\n  26 -> 35 [size =\"50810880\"]\n  26 -> 38 [size =\"50810880\"]\n  26 -> 42 [size =\"50810880\"]\n  26 -> 44 [size =\"50810880\"]\n  27 [size=\"101916160\", alpha=\"0.06\", expect_size=\"40766464\"] \n  27 -> 30 [size =\"40766464\"]\n  27 -> 31 [size =\"40766464\"]\n  27 -> 37 [size =\"40766464\"]\n  27 -> 38 [size =\"40766464\"]\n  27 -> 40 [size =\"40766464\"]\n  27 -> 41 [size =\"40766464\"]\n  27 -> 42 [size =\"40766464\"]\n  27 -> 44 [size =\"40766464\"]\n  28 [size=\"72074240\", alpha=\"0.14\", expect_size=\"28829696\"] \n  28 -> 29 [size =\"28829696\"]\n  28 -> 32 [size =\"28829696\"]\n  28 -> 39 [size =\"28829696\"]\n  28 -> 44 [size =\"28829696\"]\n  28 -> 45 [size =\"28829696\"]\n  29 [size=\"94026240\", alpha=\"0.19\", expect_size=\"37610496\"] \n  29 -> 46 [size =\"37610496\"]\n  29 -> 48 [size =\"37610496\"]\n  30 [size=\"40975360\", alpha=\"0.10\", expect_size=\"16390144\"] \n  30 -> 46 [size =\"16390144\"]\n  30 -> 47 [size =\"16390144\"]\n  30 -> 50 [size =\"16390144\"]\n  31 [size=\"87508480\", alpha=\"0.06\", expect_size=\"35003392\"] \n  31 -> 47 [size =\"35003392\"]\n  31 -> 50 [size =\"35003392\"]\n  32 [size=\"79669760\", alpha=\"0.09\", expect_size=\"31867904\"] \n  32 -> 46 [size =\"31867904\"]\n  33 [size=\"23019520\", alpha=\"0.13\", expect_size=\"9207808\"] \n  33 -> 46 [size =\"9207808\"]\n  33 -> 48 [size =\"9207808\"]\n  34 [size=\"44003840\", alpha=\"0.12\", expect_size=\"17601536\"] \n  34 -> 50 [size =\"17601536\"]\n  35 [size=\"38228480\", alpha=\"0.03\", expect_size=\"15291392\"] \n  35 -> 48 [size =\"15291392\"]\n  35 -> 50 [size =\"15291392\"]\n  36 [size=\"22028800\", alpha=\"0.07\", expect_size=\"8811520\"] \n  36 -> 46 [size =\"8811520\"]\n  36 -> 47 [size =\"8811520\"]\n  36 -> 48 [size =\"8811520\"]\n  36 -> 49 [size =\"8811520\"]\n  36 -> 50 [size =\"8811520\"]\n  37 [size=\"101849600\", alpha=\"0.11\", expect_size=\"40739840\"] \n  37 -> 48 [size =\"40739840\"]\n  37 -> 49 [size =\"40739840\"]\n  37 -> 50 [size =\"40739840\"]\n  38 [size=\"16619520\", alpha=\"0.17\", expect_size=\"6647808\"] \n  38 -> 47 [size =\"6647808\"]\n  38 -> 48 [size =\"6647808\"]\n  38 -> 49 [size =\"6647808\"]\n  38 -> 50 [size =\"6647808\"]\n  39 [size=\"98813440\", alpha=\"0.07\", expect_size=\"39525376\"] \n  39 -> 46 [size =\"39525376\"]\n  39 -> 48 [size =\"39525376\"]\n  39 -> 49 [size =\"39525376\"]\n  39 -> 50 [size =\"39525376\"]\n  40 [size=\"92254720\", alpha=\"0.01\", expect_size=\"36901888\"] \n  40 -> 46 [size =\"36901888\"]\n  40 -> 47 [size =\"36901888\"]\n  40 -> 48 [size =\"36901888\"]\n  40 -> 49 [size =\"36901888\"]\n  40 -> 50 [size =\"36901888\"]\n  41 [size=\"31772160\", alpha=\"0.16\", expect_size=\"12708864\"] \n  41 -> 49 [size =\"12708864\"]\n  41 -> 50 [size =\"12708864\"]\n  42 [size=\"69401600\", alpha=\"0.02\", expect_size=\"27760640\"] \n  42 -> 46 [size =\"27760640\"]\n  42 -> 49 [size =\"27760640\"]\n  42 -> 50 [size =\"27760640\"]\n  43 [size=\"119905280\", alpha=\"0.11\", expect_size=\"47962112\"] \n  43 -> 48 [size =\"47962112\"]\n  44 [size=\"78085120\", alpha=\"0.12\", expect_size=\"31234048\"] \n  44 -> 48 [size =\"31234048\"]\n  44 -> 49 [size =\"31234048\"]\n  45 [size=\"28293120\", alpha=\"0.05\", expect_size=\"11317248\"] \n  45 -> 49 [size =\"11317248\"]\n  46 [size=\"47764480\", alpha=\"0.16\", expect_size=\"19105792\"] \n  47 [size=\"88232960\", alpha=\"0.03\", expect_size=\"35293184\"] \n  48 [size=\"32302080\", alpha=\"0.19\", expect_size=\"12920832\"] \n  49 [size=\"15626240\", alpha=\"0.09\", expect_size=\"6250496\"] \n  50 [size=\"54773760\", alpha=\"0.04\", expect_size=\"21909504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.339.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129320960\", alpha=\"0.14\", expect_size=\"51728384\"] \n  1 -> 3 [size =\"51728384\"]\n  1 -> 4 [size =\"51728384\"]\n  2 [size=\"37506560\", alpha=\"0.06\", expect_size=\"15002624\"] \n  2 -> 3 [size =\"15002624\"]\n  2 -> 4 [size =\"15002624\"]\n  3 [size=\"56038400\", alpha=\"0.00\", expect_size=\"22415360\"] \n  3 -> 5 [size =\"22415360\"]\n  3 -> 7 [size =\"22415360\"]\n  4 [size=\"71843840\", alpha=\"0.04\", expect_size=\"28737536\"] \n  4 -> 6 [size =\"28737536\"]\n  5 [size=\"108052480\", alpha=\"0.17\", expect_size=\"43220992\"] \n  5 -> 8 [size =\"43220992\"]\n  5 -> 9 [size =\"43220992\"]\n  6 [size=\"115578880\", alpha=\"0.11\", expect_size=\"46231552\"] \n  6 -> 10 [size =\"46231552\"]\n  7 [size=\"72896000\", alpha=\"0.11\", expect_size=\"29158400\"] \n  7 -> 10 [size =\"29158400\"]\n  8 [size=\"83737600\", alpha=\"0.09\", expect_size=\"33495040\"] \n  8 -> 11 [size =\"33495040\"]\n  9 [size=\"50690560\", alpha=\"0.06\", expect_size=\"20276224\"] \n  9 -> 12 [size =\"20276224\"]\n  10 [size=\"110049280\", alpha=\"0.13\", expect_size=\"44019712\"] \n  10 -> 12 [size =\"44019712\"]\n  11 [size=\"77939200\", alpha=\"0.14\", expect_size=\"31175680\"] \n  11 -> 13 [size =\"31175680\"]\n  11 -> 14 [size =\"31175680\"]\n  11 -> 15 [size =\"31175680\"]\n  12 [size=\"41925120\", alpha=\"0.16\", expect_size=\"16770048\"] \n  12 -> 13 [size =\"16770048\"]\n  12 -> 14 [size =\"16770048\"]\n  13 [size=\"74915840\", alpha=\"0.03\", expect_size=\"29966336\"] \n  13 -> 16 [size =\"29966336\"]\n  13 -> 17 [size =\"29966336\"]\n  14 [size=\"76892160\", alpha=\"0.00\", expect_size=\"30756864\"] \n  14 -> 16 [size =\"30756864\"]\n  14 -> 17 [size =\"30756864\"]\n  14 -> 18 [size =\"30756864\"]\n  15 [size=\"100610560\", alpha=\"0.13\", expect_size=\"40244224\"] \n  15 -> 18 [size =\"40244224\"]\n  16 [size=\"81249280\", alpha=\"0.19\", expect_size=\"32499712\"] \n  16 -> 19 [size =\"32499712\"]\n  17 [size=\"27888640\", alpha=\"0.19\", expect_size=\"11155456\"] \n  18 [size=\"92712960\", alpha=\"0.04\", expect_size=\"37085184\"] \n  18 -> 19 [size =\"37085184\"]\n  18 -> 20 [size =\"37085184\"]\n  18 -> 21 [size =\"37085184\"]\n  19 [size=\"29120000\", alpha=\"0.16\", expect_size=\"11648000\"] \n  19 -> 23 [size =\"11648000\"]\n  19 -> 24 [size =\"11648000\"]\n  20 [size=\"67161600\", alpha=\"0.09\", expect_size=\"26864640\"] \n  20 -> 22 [size =\"26864640\"]\n  20 -> 23 [size =\"26864640\"]\n  21 [size=\"25679360\", alpha=\"0.03\", expect_size=\"10271744\"] \n  21 -> 22 [size =\"10271744\"]\n  21 -> 23 [size =\"10271744\"]\n  21 -> 24 [size =\"10271744\"]\n  22 [size=\"105310720\", alpha=\"0.01\", expect_size=\"42124288\"] \n  22 -> 25 [size =\"42124288\"]\n  22 -> 26 [size =\"42124288\"]\n  23 [size=\"79905280\", alpha=\"0.06\", expect_size=\"31962112\"] \n  24 [size=\"100277760\", alpha=\"0.01\", expect_size=\"40111104\"] \n  24 -> 26 [size =\"40111104\"]\n  25 [size=\"102543360\", alpha=\"0.12\", expect_size=\"41017344\"] \n  25 -> 27 [size =\"41017344\"]\n  25 -> 28 [size =\"41017344\"]\n  26 [size=\"60989440\", alpha=\"0.01\", expect_size=\"24395776\"] \n  26 -> 27 [size =\"24395776\"]\n  27 [size=\"57369600\", alpha=\"0.20\", expect_size=\"22947840\"] \n  27 -> 29 [size =\"22947840\"]\n  27 -> 30 [size =\"22947840\"]\n  28 [size=\"48601600\", alpha=\"0.10\", expect_size=\"19440640\"] \n  28 -> 29 [size =\"19440640\"]\n  28 -> 30 [size =\"19440640\"]\n  29 [size=\"74086400\", alpha=\"0.07\", expect_size=\"29634560\"] \n  29 -> 33 [size =\"29634560\"]\n  30 [size=\"47590400\", alpha=\"0.01\", expect_size=\"19036160\"] \n  30 -> 31 [size =\"19036160\"]\n  30 -> 32 [size =\"19036160\"]\n  30 -> 33 [size =\"19036160\"]\n  31 [size=\"103608320\", alpha=\"0.05\", expect_size=\"41443328\"] \n  31 -> 34 [size =\"41443328\"]\n  31 -> 36 [size =\"41443328\"]\n  32 [size=\"122432000\", alpha=\"0.15\", expect_size=\"48972800\"] \n  32 -> 34 [size =\"48972800\"]\n  32 -> 35 [size =\"48972800\"]\n  33 [size=\"128458240\", alpha=\"0.14\", expect_size=\"51383296\"] \n  33 -> 36 [size =\"51383296\"]\n  34 [size=\"46658560\", alpha=\"0.05\", expect_size=\"18663424\"] \n  34 -> 37 [size =\"18663424\"]\n  34 -> 38 [size =\"18663424\"]\n  35 [size=\"53734400\", alpha=\"0.10\", expect_size=\"21493760\"] \n  35 -> 37 [size =\"21493760\"]\n  35 -> 38 [size =\"21493760\"]\n  36 [size=\"126666240\", alpha=\"0.07\", expect_size=\"50666496\"] \n  36 -> 37 [size =\"50666496\"]\n  36 -> 38 [size =\"50666496\"]\n  37 [size=\"14036480\", alpha=\"0.07\", expect_size=\"5614592\"] \n  37 -> 40 [size =\"5614592\"]\n  37 -> 41 [size =\"5614592\"]\n  38 [size=\"129525760\", alpha=\"0.20\", expect_size=\"51810304\"] \n  38 -> 39 [size =\"51810304\"]\n  38 -> 41 [size =\"51810304\"]\n  39 [size=\"71907840\", alpha=\"0.16\", expect_size=\"28763136\"] \n  39 -> 43 [size =\"28763136\"]\n  39 -> 44 [size =\"28763136\"]\n  40 [size=\"114698240\", alpha=\"0.01\", expect_size=\"45879296\"] \n  41 [size=\"118909440\", alpha=\"0.08\", expect_size=\"47563776\"] \n  41 -> 42 [size =\"47563776\"]\n  41 -> 43 [size =\"47563776\"]\n  41 -> 44 [size =\"47563776\"]\n  42 [size=\"31413760\", alpha=\"0.10\", expect_size=\"12565504\"] \n  42 -> 45 [size =\"12565504\"]\n  42 -> 46 [size =\"12565504\"]\n  43 [size=\"116956160\", alpha=\"0.04\", expect_size=\"46782464\"] \n  44 [size=\"83456000\", alpha=\"0.13\", expect_size=\"33382400\"] \n  44 -> 46 [size =\"33382400\"]\n  45 [size=\"112663040\", alpha=\"0.17\", expect_size=\"45065216\"] \n  45 -> 47 [size =\"45065216\"]\n  45 -> 48 [size =\"45065216\"]\n  46 [size=\"56151040\", alpha=\"0.09\", expect_size=\"22460416\"] \n  46 -> 47 [size =\"22460416\"]\n  46 -> 48 [size =\"22460416\"]\n  47 [size=\"100032000\", alpha=\"0.09\", expect_size=\"40012800\"] \n  47 -> 49 [size =\"40012800\"]\n  47 -> 50 [size =\"40012800\"]\n  48 [size=\"23155200\", alpha=\"0.14\", expect_size=\"9262080\"] \n  48 -> 49 [size =\"9262080\"]\n  48 -> 50 [size =\"9262080\"]\n  49 [size=\"23096320\", alpha=\"0.10\", expect_size=\"9238528\"] \n  50 [size=\"115868160\", alpha=\"0.12\", expect_size=\"46347264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76320768\", alpha=\"0.17\", expect_size=\"38160384\"] \n  1 -> 2 [size =\"38160384\"]\n  2 [size=\"69693440\", alpha=\"0.13\", expect_size=\"34846720\"] \n  2 -> 3 [size =\"34846720\"]\n  3 [size=\"18487296\", alpha=\"0.14\", expect_size=\"9243648\"] \n  3 -> 4 [size =\"9243648\"]\n  4 [size=\"70371328\", alpha=\"0.02\", expect_size=\"35185664\"] \n  4 -> 5 [size =\"35185664\"]\n  5 [size=\"54640640\", alpha=\"0.12\", expect_size=\"27320320\"] \n  5 -> 6 [size =\"27320320\"]\n  6 [size=\"17348608\", alpha=\"0.00\", expect_size=\"8674304\"] \n  6 -> 7 [size =\"8674304\"]\n  7 [size=\"44965888\", alpha=\"0.14\", expect_size=\"22482944\"] \n  7 -> 8 [size =\"22482944\"]\n  8 [size=\"18950144\", alpha=\"0.03\", expect_size=\"9475072\"] \n  8 -> 9 [size =\"9475072\"]\n  9 [size=\"97390592\", alpha=\"0.10\", expect_size=\"48695296\"] \n  9 -> 10 [size =\"48695296\"]\n  10 [size=\"98686976\", alpha=\"0.19\", expect_size=\"49343488\"] \n  10 -> 11 [size =\"49343488\"]\n  11 [size=\"96577536\", alpha=\"0.17\", expect_size=\"48288768\"] \n  11 -> 12 [size =\"48288768\"]\n  12 [size=\"81758208\", alpha=\"0.15\", expect_size=\"40879104\"] \n  12 -> 13 [size =\"40879104\"]\n  13 [size=\"50245632\", alpha=\"0.19\", expect_size=\"25122816\"] \n  13 -> 14 [size =\"25122816\"]\n  14 [size=\"23357440\", alpha=\"0.12\", expect_size=\"11678720\"] \n  14 -> 15 [size =\"11678720\"]\n  15 [size=\"31373312\", alpha=\"0.10\", expect_size=\"15686656\"] \n  15 -> 16 [size =\"15686656\"]\n  16 [size=\"88963072\", alpha=\"0.15\", expect_size=\"44481536\"] \n  16 -> 17 [size =\"44481536\"]\n  17 [size=\"91176960\", alpha=\"0.02\", expect_size=\"45588480\"] \n  17 -> 18 [size =\"45588480\"]\n  18 [size=\"62261248\", alpha=\"0.15\", expect_size=\"31130624\"] \n  18 -> 19 [size =\"31130624\"]\n  19 [size=\"74209280\", alpha=\"0.13\", expect_size=\"37104640\"] \n  19 -> 20 [size =\"37104640\"]\n  20 [size=\"25452544\", alpha=\"0.11\", expect_size=\"12726272\"] \n  20 -> 21 [size =\"12726272\"]\n  21 [size=\"20084736\", alpha=\"0.03\", expect_size=\"10042368\"] \n  21 -> 22 [size =\"10042368\"]\n  22 [size=\"102092800\", alpha=\"0.08\", expect_size=\"51046400\"] \n  22 -> 23 [size =\"51046400\"]\n  23 [size=\"77725696\", alpha=\"0.14\", expect_size=\"38862848\"] \n  23 -> 24 [size =\"38862848\"]\n  24 [size=\"72882176\", alpha=\"0.13\", expect_size=\"36441088\"] \n  24 -> 25 [size =\"36441088\"]\n  25 [size=\"36716544\", alpha=\"0.01\", expect_size=\"18358272\"] \n  25 -> 26 [size =\"18358272\"]\n  26 [size=\"85114880\", alpha=\"0.11\", expect_size=\"42557440\"] \n  26 -> 27 [size =\"42557440\"]\n  27 [size=\"63850496\", alpha=\"0.08\", expect_size=\"31925248\"] \n  27 -> 28 [size =\"31925248\"]\n  28 [size=\"73537536\", alpha=\"0.07\", expect_size=\"36768768\"] \n  28 -> 29 [size =\"36768768\"]\n  29 [size=\"51611648\", alpha=\"0.04\", expect_size=\"25805824\"] \n  29 -> 30 [size =\"25805824\"]\n  30 [size=\"18358272\", alpha=\"0.20\", expect_size=\"9179136\"] \n  30 -> 31 [size =\"9179136\"]\n  31 [size=\"70191104\", alpha=\"0.14\", expect_size=\"35095552\"] \n  31 -> 32 [size =\"35095552\"]\n  32 [size=\"84199424\", alpha=\"0.03\", expect_size=\"42099712\"] \n  32 -> 33 [size =\"42099712\"]\n  33 [size=\"25221120\", alpha=\"0.01\", expect_size=\"12610560\"] \n  33 -> 34 [size =\"12610560\"]\n  34 [size=\"90003456\", alpha=\"0.01\", expect_size=\"45001728\"] \n  34 -> 35 [size =\"45001728\"]\n  35 [size=\"55318528\", alpha=\"0.06\", expect_size=\"27659264\"] \n  35 -> 36 [size =\"27659264\"]\n  36 [size=\"59695104\", alpha=\"0.08\", expect_size=\"29847552\"] \n  36 -> 37 [size =\"29847552\"]\n  37 [size=\"15622144\", alpha=\"0.06\", expect_size=\"7811072\"] \n  37 -> 38 [size =\"7811072\"]\n  38 [size=\"51957760\", alpha=\"0.16\", expect_size=\"25978880\"] \n  38 -> 39 [size =\"25978880\"]\n  39 [size=\"82794496\", alpha=\"0.19\", expect_size=\"41397248\"] \n  39 -> 40 [size =\"41397248\"]\n  40 [size=\"100665344\", alpha=\"0.05\", expect_size=\"50332672\"] \n  40 -> 41 [size =\"50332672\"]\n  41 [size=\"99403776\", alpha=\"0.14\", expect_size=\"49701888\"] \n  41 -> 42 [size =\"49701888\"]\n  42 [size=\"70727680\", alpha=\"0.01\", expect_size=\"35363840\"] \n  42 -> 43 [size =\"35363840\"]\n  43 [size=\"85913600\", alpha=\"0.03\", expect_size=\"42956800\"] \n  43 -> 44 [size =\"42956800\"]\n  44 [size=\"90349568\", alpha=\"0.18\", expect_size=\"45174784\"] \n  44 -> 45 [size =\"45174784\"]\n  45 [size=\"96907264\", alpha=\"0.19\", expect_size=\"48453632\"] \n  45 -> 46 [size =\"48453632\"]\n  46 [size=\"32106496\", alpha=\"0.16\", expect_size=\"16053248\"] \n  46 -> 47 [size =\"16053248\"]\n  47 [size=\"68792320\", alpha=\"0.04\", expect_size=\"34396160\"] \n  47 -> 48 [size =\"34396160\"]\n  48 [size=\"98918400\", alpha=\"0.05\", expect_size=\"49459200\"] \n  48 -> 49 [size =\"49459200\"]\n  49 [size=\"79888384\", alpha=\"0.15\", expect_size=\"39944192\"] \n  49 -> 50 [size =\"39944192\"]\n  50 [size=\"75427840\", alpha=\"0.06\", expect_size=\"37713920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.340.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65297067\", alpha=\"0.17\", expect_size=\"19589120\"] \n  1 -> 2 [size =\"19589120\"]\n  2 [size=\"160774827\", alpha=\"0.19\", expect_size=\"48232448\"] \n  2 -> 3 [size =\"48232448\"]\n  3 [size=\"120845653\", alpha=\"0.04\", expect_size=\"36253696\"] \n  3 -> 4 [size =\"36253696\"]\n  4 [size=\"154030080\", alpha=\"0.16\", expect_size=\"46209024\"] \n  4 -> 5 [size =\"46209024\"]\n  5 [size=\"93245440\", alpha=\"0.15\", expect_size=\"27973632\"] \n  5 -> 6 [size =\"27973632\"]\n  6 [size=\"154620587\", alpha=\"0.08\", expect_size=\"46386176\"] \n  6 -> 7 [size =\"46386176\"]\n  7 [size=\"48599040\", alpha=\"0.05\", expect_size=\"14579712\"] \n  7 -> 8 [size =\"14579712\"]\n  8 [size=\"127133013\", alpha=\"0.05\", expect_size=\"38139904\"] \n  8 -> 9 [size =\"38139904\"]\n  9 [size=\"161082027\", alpha=\"0.01\", expect_size=\"48324608\"] \n  9 -> 10 [size =\"48324608\"]\n  10 [size=\"82363733\", alpha=\"0.19\", expect_size=\"24709120\"] \n  10 -> 11 [size =\"24709120\"]\n  11 [size=\"37580800\", alpha=\"0.01\", expect_size=\"11274240\"] \n  11 -> 12 [size =\"11274240\"]\n  12 [size=\"171970560\", alpha=\"0.12\", expect_size=\"51591168\"] \n  12 -> 13 [size =\"51591168\"]\n  13 [size=\"160641707\", alpha=\"0.18\", expect_size=\"48192512\"] \n  13 -> 14 [size =\"48192512\"]\n  14 [size=\"36792320\", alpha=\"0.07\", expect_size=\"11037696\"] \n  14 -> 15 [size =\"11037696\"]\n  15 [size=\"162259627\", alpha=\"0.12\", expect_size=\"48677888\"] \n  15 -> 16 [size =\"48677888\"]\n  16 [size=\"126286507\", alpha=\"0.00\", expect_size=\"37885952\"] \n  16 -> 17 [size =\"37885952\"]\n  17 [size=\"28921173\", alpha=\"0.08\", expect_size=\"8676352\"] \n  17 -> 18 [size =\"8676352\"]\n  18 [size=\"66389333\", alpha=\"0.06\", expect_size=\"19916800\"] \n  18 -> 19 [size =\"19916800\"]\n  19 [size=\"106567680\", alpha=\"0.12\", expect_size=\"31970304\"] \n  19 -> 20 [size =\"31970304\"]\n  20 [size=\"110923093\", alpha=\"0.12\", expect_size=\"33276928\"] \n  20 -> 21 [size =\"33276928\"]\n  21 [size=\"106533547\", alpha=\"0.19\", expect_size=\"31960064\"] \n  21 -> 22 [size =\"31960064\"]\n  22 [size=\"114513920\", alpha=\"0.04\", expect_size=\"34354176\"] \n  22 -> 23 [size =\"34354176\"]\n  23 [size=\"49063253\", alpha=\"0.02\", expect_size=\"14718976\"] \n  23 -> 24 [size =\"14718976\"]\n  24 [size=\"34474667\", alpha=\"0.18\", expect_size=\"10342400\"] \n  24 -> 25 [size =\"10342400\"]\n  25 [size=\"91805013\", alpha=\"0.03\", expect_size=\"27541504\"] \n  25 -> 26 [size =\"27541504\"]\n  26 [size=\"27429547\", alpha=\"0.05\", expect_size=\"8228864\"] \n  26 -> 27 [size =\"8228864\"]\n  27 [size=\"30580053\", alpha=\"0.12\", expect_size=\"9174016\"] \n  27 -> 28 [size =\"9174016\"]\n  28 [size=\"90890240\", alpha=\"0.12\", expect_size=\"27267072\"] \n  28 -> 29 [size =\"27267072\"]\n  29 [size=\"137325227\", alpha=\"0.11\", expect_size=\"41197568\"] \n  29 -> 30 [size =\"41197568\"]\n  30 [size=\"71693653\", alpha=\"0.18\", expect_size=\"21508096\"] \n  30 -> 31 [size =\"21508096\"]\n  31 [size=\"168762027\", alpha=\"0.08\", expect_size=\"50628608\"] \n  31 -> 32 [size =\"50628608\"]\n  32 [size=\"161778347\", alpha=\"0.17\", expect_size=\"48533504\"] \n  32 -> 33 [size =\"48533504\"]\n  33 [size=\"36758187\", alpha=\"0.04\", expect_size=\"11027456\"] \n  33 -> 34 [size =\"11027456\"]\n  34 [size=\"54364160\", alpha=\"0.14\", expect_size=\"16309248\"] \n  34 -> 35 [size =\"16309248\"]\n  35 [size=\"36570453\", alpha=\"0.02\", expect_size=\"10971136\"] \n  35 -> 36 [size =\"10971136\"]\n  36 [size=\"59153067\", alpha=\"0.05\", expect_size=\"17745920\"] \n  36 -> 37 [size =\"17745920\"]\n  37 [size=\"101973333\", alpha=\"0.08\", expect_size=\"30592000\"] \n  37 -> 38 [size =\"30592000\"]\n  38 [size=\"38864213\", alpha=\"0.18\", expect_size=\"11659264\"] \n  38 -> 39 [size =\"11659264\"]\n  39 [size=\"136775680\", alpha=\"0.19\", expect_size=\"41032704\"] \n  39 -> 40 [size =\"41032704\"]\n  40 [size=\"67457707\", alpha=\"0.12\", expect_size=\"20237312\"] \n  40 -> 41 [size =\"20237312\"]\n  41 [size=\"53080747\", alpha=\"0.16\", expect_size=\"15924224\"] \n  41 -> 42 [size =\"15924224\"]\n  42 [size=\"113756160\", alpha=\"0.13\", expect_size=\"34126848\"] \n  42 -> 43 [size =\"34126848\"]\n  43 [size=\"89402027\", alpha=\"0.14\", expect_size=\"26820608\"] \n  43 -> 44 [size =\"26820608\"]\n  44 [size=\"123190613\", alpha=\"0.16\", expect_size=\"36957184\"] \n  44 -> 45 [size =\"36957184\"]\n  45 [size=\"77154987\", alpha=\"0.09\", expect_size=\"23146496\"] \n  45 -> 46 [size =\"23146496\"]\n  46 [size=\"96075093\", alpha=\"0.02\", expect_size=\"28822528\"] \n  46 -> 47 [size =\"28822528\"]\n  47 [size=\"131481600\", alpha=\"0.17\", expect_size=\"39444480\"] \n  47 -> 48 [size =\"39444480\"]\n  48 [size=\"37536427\", alpha=\"0.02\", expect_size=\"11260928\"] \n  48 -> 49 [size =\"11260928\"]\n  49 [size=\"20432213\", alpha=\"0.02\", expect_size=\"6129664\"] \n  49 -> 50 [size =\"6129664\"]\n  50 [size=\"169270613\", alpha=\"0.08\", expect_size=\"50781184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.341.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54212608\", alpha=\"0.18\", expect_size=\"27106304\"] \n  1 -> 2 [size =\"27106304\"]\n  2 [size=\"54214656\", alpha=\"0.09\", expect_size=\"27107328\"] \n  2 -> 3 [size =\"27107328\"]\n  3 [size=\"72085504\", alpha=\"0.02\", expect_size=\"36042752\"] \n  3 -> 4 [size =\"36042752\"]\n  4 [size=\"60504064\", alpha=\"0.18\", expect_size=\"30252032\"] \n  4 -> 5 [size =\"30252032\"]\n  5 [size=\"12605440\", alpha=\"0.13\", expect_size=\"6302720\"] \n  5 -> 6 [size =\"6302720\"]\n  6 [size=\"50759680\", alpha=\"0.10\", expect_size=\"25379840\"] \n  6 -> 7 [size =\"25379840\"]\n  7 [size=\"103229440\", alpha=\"0.14\", expect_size=\"51614720\"] \n  7 -> 8 [size =\"51614720\"]\n  8 [size=\"92977152\", alpha=\"0.08\", expect_size=\"46488576\"] \n  8 -> 9 [size =\"46488576\"]\n  9 [size=\"36517888\", alpha=\"0.06\", expect_size=\"18258944\"] \n  9 -> 10 [size =\"18258944\"]\n  10 [size=\"45404160\", alpha=\"0.08\", expect_size=\"22702080\"] \n  10 -> 11 [size =\"22702080\"]\n  11 [size=\"15570944\", alpha=\"0.16\", expect_size=\"7785472\"] \n  11 -> 12 [size =\"7785472\"]\n  12 [size=\"102082560\", alpha=\"0.17\", expect_size=\"51041280\"] \n  12 -> 13 [size =\"51041280\"]\n  13 [size=\"48470016\", alpha=\"0.02\", expect_size=\"24235008\"] \n  13 -> 14 [size =\"24235008\"]\n  14 [size=\"56655872\", alpha=\"0.12\", expect_size=\"28327936\"] \n  14 -> 15 [size =\"28327936\"]\n  15 [size=\"45264896\", alpha=\"0.06\", expect_size=\"22632448\"] \n  15 -> 16 [size =\"22632448\"]\n  16 [size=\"13285376\", alpha=\"0.20\", expect_size=\"6642688\"] \n  16 -> 17 [size =\"6642688\"]\n  17 [size=\"61927424\", alpha=\"0.20\", expect_size=\"30963712\"] \n  17 -> 18 [size =\"30963712\"]\n  18 [size=\"35706880\", alpha=\"0.19\", expect_size=\"17853440\"] \n  18 -> 19 [size =\"17853440\"]\n  19 [size=\"73981952\", alpha=\"0.05\", expect_size=\"36990976\"] \n  19 -> 20 [size =\"36990976\"]\n  20 [size=\"104075264\", alpha=\"0.04\", expect_size=\"52037632\"] \n  20 -> 21 [size =\"52037632\"]\n  21 [size=\"49645568\", alpha=\"0.11\", expect_size=\"24822784\"] \n  21 -> 22 [size =\"24822784\"]\n  22 [size=\"30328832\", alpha=\"0.08\", expect_size=\"15164416\"] \n  22 -> 23 [size =\"15164416\"]\n  23 [size=\"16259072\", alpha=\"0.18\", expect_size=\"8129536\"] \n  23 -> 24 [size =\"8129536\"]\n  24 [size=\"25767936\", alpha=\"0.18\", expect_size=\"12883968\"] \n  24 -> 25 [size =\"12883968\"]\n  25 [size=\"81827840\", alpha=\"0.19\", expect_size=\"40913920\"] \n  25 -> 26 [size =\"40913920\"]\n  26 [size=\"14684160\", alpha=\"0.09\", expect_size=\"7342080\"] \n  26 -> 27 [size =\"7342080\"]\n  27 [size=\"13039616\", alpha=\"0.18\", expect_size=\"6519808\"] \n  27 -> 28 [size =\"6519808\"]\n  28 [size=\"12328960\", alpha=\"0.04\", expect_size=\"6164480\"] \n  28 -> 29 [size =\"6164480\"]\n  29 [size=\"101554176\", alpha=\"0.16\", expect_size=\"50777088\"] \n  29 -> 30 [size =\"50777088\"]\n  30 [size=\"32243712\", alpha=\"0.16\", expect_size=\"16121856\"] \n  30 -> 31 [size =\"16121856\"]\n  31 [size=\"49096704\", alpha=\"0.16\", expect_size=\"24548352\"] \n  31 -> 32 [size =\"24548352\"]\n  32 [size=\"101468160\", alpha=\"0.16\", expect_size=\"50734080\"] \n  32 -> 33 [size =\"50734080\"]\n  33 [size=\"44345344\", alpha=\"0.04\", expect_size=\"22172672\"] \n  33 -> 34 [size =\"22172672\"]\n  34 [size=\"33701888\", alpha=\"0.02\", expect_size=\"16850944\"] \n  34 -> 35 [size =\"16850944\"]\n  35 [size=\"25188352\", alpha=\"0.07\", expect_size=\"12594176\"] \n  35 -> 36 [size =\"12594176\"]\n  36 [size=\"20920320\", alpha=\"0.13\", expect_size=\"10460160\"] \n  36 -> 37 [size =\"10460160\"]\n  37 [size=\"61177856\", alpha=\"0.10\", expect_size=\"30588928\"] \n  37 -> 38 [size =\"30588928\"]\n  38 [size=\"49956864\", alpha=\"0.12\", expect_size=\"24978432\"] \n  38 -> 39 [size =\"24978432\"]\n  39 [size=\"69754880\", alpha=\"0.07\", expect_size=\"34877440\"] \n  39 -> 40 [size =\"34877440\"]\n  40 [size=\"52230144\", alpha=\"0.03\", expect_size=\"26115072\"] \n  40 -> 41 [size =\"26115072\"]\n  41 [size=\"32299008\", alpha=\"0.06\", expect_size=\"16149504\"] \n  41 -> 42 [size =\"16149504\"]\n  42 [size=\"15052800\", alpha=\"0.14\", expect_size=\"7526400\"] \n  42 -> 43 [size =\"7526400\"]\n  43 [size=\"92084224\", alpha=\"0.03\", expect_size=\"46042112\"] \n  43 -> 44 [size =\"46042112\"]\n  44 [size=\"18264064\", alpha=\"0.15\", expect_size=\"9132032\"] \n  44 -> 45 [size =\"9132032\"]\n  45 [size=\"28506112\", alpha=\"0.03\", expect_size=\"14253056\"] \n  45 -> 46 [size =\"14253056\"]\n  46 [size=\"63217664\", alpha=\"0.11\", expect_size=\"31608832\"] \n  46 -> 47 [size =\"31608832\"]\n  47 [size=\"30826496\", alpha=\"0.20\", expect_size=\"15413248\"] \n  47 -> 48 [size =\"15413248\"]\n  48 [size=\"77148160\", alpha=\"0.09\", expect_size=\"38574080\"] \n  48 -> 49 [size =\"38574080\"]\n  49 [size=\"38660096\", alpha=\"0.18\", expect_size=\"19330048\"] \n  49 -> 50 [size =\"19330048\"]\n  50 [size=\"73232384\", alpha=\"0.11\", expect_size=\"36616192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.342.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111179093\", alpha=\"0.03\", expect_size=\"33353728\"] \n  1 -> 46 [size =\"33353728\"]\n  1 -> 48 [size =\"33353728\"]\n  1 -> 49 [size =\"33353728\"]\n  2 [size=\"98532693\", alpha=\"0.18\", expect_size=\"29559808\"] \n  2 -> 48 [size =\"29559808\"]\n  2 -> 49 [size =\"29559808\"]\n  2 -> 49 [size =\"29559808\"]\n  3 [size=\"169209173\", alpha=\"0.13\", expect_size=\"50762752\"] \n  3 -> 47 [size =\"50762752\"]\n  4 [size=\"143588693\", alpha=\"0.11\", expect_size=\"43076608\"] \n  4 -> 46 [size =\"43076608\"]\n  5 [size=\"129870507\", alpha=\"0.12\", expect_size=\"38961152\"] \n  5 -> 46 [size =\"38961152\"]\n  6 [size=\"52261547\", alpha=\"0.14\", expect_size=\"15678464\"] \n  6 -> 49 [size =\"15678464\"]\n  7 [size=\"82623147\", alpha=\"0.18\", expect_size=\"24786944\"] \n  7 -> 47 [size =\"24786944\"]\n  8 [size=\"163416747\", alpha=\"0.13\", expect_size=\"49025024\"] \n  8 -> 49 [size =\"49025024\"]\n  9 [size=\"114411520\", alpha=\"0.11\", expect_size=\"34323456\"] \n  9 -> 47 [size =\"34323456\"]\n  10 [size=\"154978987\", alpha=\"0.08\", expect_size=\"46493696\"] \n  10 -> 47 [size =\"46493696\"]\n  11 [size=\"121149440\", alpha=\"0.19\", expect_size=\"36344832\"] \n  11 -> 46 [size =\"36344832\"]\n  12 [size=\"147514027\", alpha=\"0.07\", expect_size=\"44254208\"] \n  12 -> 45 [size =\"44254208\"]\n  13 [size=\"133058560\", alpha=\"0.17\", expect_size=\"39917568\"] \n  13 -> 48 [size =\"39917568\"]\n  14 [size=\"77803520\", alpha=\"0.03\", expect_size=\"23341056\"] \n  14 -> 47 [size =\"23341056\"]\n  14 -> 48 [size =\"23341056\"]\n  14 -> 49 [size =\"23341056\"]\n  15 [size=\"161280000\", alpha=\"0.16\", expect_size=\"48384000\"] \n  15 -> 46 [size =\"48384000\"]\n  15 -> 47 [size =\"48384000\"]\n  15 -> 48 [size =\"48384000\"]\n  16 [size=\"97320960\", alpha=\"0.05\", expect_size=\"29196288\"] \n  16 -> 45 [size =\"29196288\"]\n  16 -> 47 [size =\"29196288\"]\n  17 [size=\"50100907\", alpha=\"0.02\", expect_size=\"15030272\"] \n  17 -> 45 [size =\"15030272\"]\n  17 -> 49 [size =\"15030272\"]\n  17 -> 50 [size =\"15030272\"]\n  18 [size=\"36413440\", alpha=\"0.02\", expect_size=\"10924032\"] \n  19 [size=\"139796480\", alpha=\"0.13\", expect_size=\"41938944\"] \n  19 -> 47 [size =\"41938944\"]\n  19 -> 49 [size =\"41938944\"]\n  20 [size=\"72809813\", alpha=\"0.04\", expect_size=\"21842944\"] \n  21 [size=\"137117013\", alpha=\"0.07\", expect_size=\"41135104\"] \n  22 [size=\"131508907\", alpha=\"0.20\", expect_size=\"39452672\"] \n  22 -> 49 [size =\"39452672\"]\n  23 [size=\"28023467\", alpha=\"0.12\", expect_size=\"8407040\"] \n  23 -> 47 [size =\"8407040\"]\n  23 -> 49 [size =\"8407040\"]\n  24 [size=\"161949013\", alpha=\"0.00\", expect_size=\"48584704\"] \n  24 -> 47 [size =\"48584704\"]\n  24 -> 48 [size =\"48584704\"]\n  25 [size=\"31382187\", alpha=\"0.03\", expect_size=\"9414656\"] \n  25 -> 48 [size =\"9414656\"]\n  26 [size=\"155306667\", alpha=\"0.10\", expect_size=\"46592000\"] \n  26 -> 45 [size =\"46592000\"]\n  26 -> 46 [size =\"46592000\"]\n  26 -> 47 [size =\"46592000\"]\n  26 -> 48 [size =\"46592000\"]\n  26 -> 49 [size =\"46592000\"]\n  27 [size=\"40693760\", alpha=\"0.05\", expect_size=\"12208128\"] \n  27 -> 46 [size =\"12208128\"]\n  27 -> 47 [size =\"12208128\"]\n  27 -> 48 [size =\"12208128\"]\n  28 [size=\"59712853\", alpha=\"0.19\", expect_size=\"17913856\"] \n  28 -> 47 [size =\"17913856\"]\n  28 -> 48 [size =\"17913856\"]\n  29 [size=\"76185600\", alpha=\"0.05\", expect_size=\"22855680\"] \n  29 -> 46 [size =\"22855680\"]\n  30 [size=\"22896640\", alpha=\"0.09\", expect_size=\"6868992\"] \n  30 -> 46 [size =\"6868992\"]\n  30 -> 48 [size =\"6868992\"]\n  31 [size=\"53971627\", alpha=\"0.05\", expect_size=\"16191488\"] \n  31 -> 45 [size =\"16191488\"]\n  31 -> 46 [size =\"16191488\"]\n  31 -> 47 [size =\"16191488\"]\n  31 -> 48 [size =\"16191488\"]\n  32 [size=\"105833813\", alpha=\"0.19\", expect_size=\"31750144\"] \n  32 -> 46 [size =\"31750144\"]\n  32 -> 47 [size =\"31750144\"]\n  33 [size=\"102253227\", alpha=\"0.07\", expect_size=\"30675968\"] \n  33 -> 46 [size =\"30675968\"]\n  34 [size=\"37676373\", alpha=\"0.03\", expect_size=\"11302912\"] \n  34 -> 46 [size =\"11302912\"]\n  34 -> 49 [size =\"11302912\"]\n  35 [size=\"38222507\", alpha=\"0.17\", expect_size=\"11466752\"] \n  36 [size=\"58999467\", alpha=\"0.01\", expect_size=\"17699840\"] \n  36 -> 46 [size =\"17699840\"]\n  37 [size=\"134792533\", alpha=\"0.09\", expect_size=\"40437760\"] \n  38 [size=\"173462187\", alpha=\"0.20\", expect_size=\"52038656\"] \n  38 -> 49 [size =\"52038656\"]\n  39 [size=\"163672747\", alpha=\"0.06\", expect_size=\"49101824\"] \n  39 -> 47 [size =\"49101824\"]\n  40 [size=\"45066240\", alpha=\"0.19\", expect_size=\"13519872\"] \n  40 -> 47 [size =\"13519872\"]\n  40 -> 48 [size =\"13519872\"]\n  40 -> 49 [size =\"13519872\"]\n  41 [size=\"112438613\", alpha=\"0.08\", expect_size=\"33731584\"] \n  41 -> 45 [size =\"33731584\"]\n  41 -> 47 [size =\"33731584\"]\n  41 -> 49 [size =\"33731584\"]\n  42 [size=\"154890240\", alpha=\"0.11\", expect_size=\"46467072\"] \n  42 -> 47 [size =\"46467072\"]\n  43 [size=\"145179307\", alpha=\"0.15\", expect_size=\"43553792\"] \n  43 -> 47 [size =\"43553792\"]\n  43 -> 49 [size =\"43553792\"]\n  44 [size=\"41594880\", alpha=\"0.18\", expect_size=\"12478464\"] \n  44 -> 49 [size =\"12478464\"]\n  45 [size=\"61757440\", alpha=\"0.03\", expect_size=\"18527232\"] \n  46 [size=\"34894507\", alpha=\"0.05\", expect_size=\"10468352\"] \n  47 [size=\"40850773\", alpha=\"0.10\", expect_size=\"12255232\"] \n  48 [size=\"112257707\", alpha=\"0.00\", expect_size=\"33677312\"] \n  49 [size=\"110762667\", alpha=\"0.18\", expect_size=\"33228800\"] \n  50 [size=\"158689280\", alpha=\"0.16\", expect_size=\"47606784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.343.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165823147\", alpha=\"0.15\", expect_size=\"49746944\"] \n  1 -> 2 [size =\"49746944\"]\n  2 [size=\"137250133\", alpha=\"0.04\", expect_size=\"41175040\"] \n  2 -> 3 [size =\"41175040\"]\n  3 [size=\"76724907\", alpha=\"0.03\", expect_size=\"23017472\"] \n  3 -> 4 [size =\"23017472\"]\n  4 [size=\"38632107\", alpha=\"0.19\", expect_size=\"11589632\"] \n  4 -> 5 [size =\"11589632\"]\n  5 [size=\"87176533\", alpha=\"0.08\", expect_size=\"26152960\"] \n  5 -> 6 [size =\"26152960\"]\n  6 [size=\"166372693\", alpha=\"0.07\", expect_size=\"49911808\"] \n  6 -> 7 [size =\"49911808\"]\n  7 [size=\"25207467\", alpha=\"0.07\", expect_size=\"7562240\"] \n  7 -> 8 [size =\"7562240\"]\n  8 [size=\"147961173\", alpha=\"0.20\", expect_size=\"44388352\"] \n  8 -> 9 [size =\"44388352\"]\n  9 [size=\"53719040\", alpha=\"0.17\", expect_size=\"16115712\"] \n  9 -> 10 [size =\"16115712\"]\n  10 [size=\"43909120\", alpha=\"0.09\", expect_size=\"13172736\"] \n  10 -> 11 [size =\"13172736\"]\n  11 [size=\"92262400\", alpha=\"0.02\", expect_size=\"27678720\"] \n  11 -> 12 [size =\"27678720\"]\n  12 [size=\"55463253\", alpha=\"0.09\", expect_size=\"16638976\"] \n  12 -> 13 [size =\"16638976\"]\n  13 [size=\"88555520\", alpha=\"0.06\", expect_size=\"26566656\"] \n  13 -> 14 [size =\"26566656\"]\n  14 [size=\"113749333\", alpha=\"0.14\", expect_size=\"34124800\"] \n  14 -> 15 [size =\"34124800\"]\n  15 [size=\"103109973\", alpha=\"0.15\", expect_size=\"30932992\"] \n  15 -> 16 [size =\"30932992\"]\n  16 [size=\"167164587\", alpha=\"0.08\", expect_size=\"50149376\"] \n  16 -> 17 [size =\"50149376\"]\n  17 [size=\"63559680\", alpha=\"0.05\", expect_size=\"19067904\"] \n  17 -> 18 [size =\"19067904\"]\n  18 [size=\"119193600\", alpha=\"0.18\", expect_size=\"35758080\"] \n  18 -> 19 [size =\"35758080\"]\n  19 [size=\"118425600\", alpha=\"0.11\", expect_size=\"35527680\"] \n  19 -> 20 [size =\"35527680\"]\n  20 [size=\"93009920\", alpha=\"0.02\", expect_size=\"27902976\"] \n  20 -> 21 [size =\"27902976\"]\n  21 [size=\"161638400\", alpha=\"0.11\", expect_size=\"48491520\"] \n  21 -> 22 [size =\"48491520\"]\n  22 [size=\"19916800\", alpha=\"0.16\", expect_size=\"5975040\"] \n  22 -> 23 [size =\"5975040\"]\n  23 [size=\"88903680\", alpha=\"0.09\", expect_size=\"26671104\"] \n  23 -> 24 [size =\"26671104\"]\n  24 [size=\"139537067\", alpha=\"0.04\", expect_size=\"41861120\"] \n  24 -> 25 [size =\"41861120\"]\n  25 [size=\"94894080\", alpha=\"0.08\", expect_size=\"28468224\"] \n  25 -> 26 [size =\"28468224\"]\n  26 [size=\"52968107\", alpha=\"0.11\", expect_size=\"15890432\"] \n  26 -> 27 [size =\"15890432\"]\n  27 [size=\"117548373\", alpha=\"0.15\", expect_size=\"35264512\"] \n  27 -> 28 [size =\"35264512\"]\n  28 [size=\"156354560\", alpha=\"0.16\", expect_size=\"46906368\"] \n  28 -> 29 [size =\"46906368\"]\n  29 [size=\"142254080\", alpha=\"0.01\", expect_size=\"42676224\"] \n  29 -> 30 [size =\"42676224\"]\n  30 [size=\"69352107\", alpha=\"0.10\", expect_size=\"20805632\"] \n  30 -> 31 [size =\"20805632\"]\n  31 [size=\"82281813\", alpha=\"0.08\", expect_size=\"24684544\"] \n  31 -> 32 [size =\"24684544\"]\n  32 [size=\"172107093\", alpha=\"0.11\", expect_size=\"51632128\"] \n  32 -> 33 [size =\"51632128\"]\n  33 [size=\"144029013\", alpha=\"0.03\", expect_size=\"43208704\"] \n  33 -> 34 [size =\"43208704\"]\n  34 [size=\"57296213\", alpha=\"0.07\", expect_size=\"17188864\"] \n  34 -> 35 [size =\"17188864\"]\n  35 [size=\"90357760\", alpha=\"0.02\", expect_size=\"27107328\"] \n  35 -> 36 [size =\"27107328\"]\n  36 [size=\"155627520\", alpha=\"0.16\", expect_size=\"46688256\"] \n  36 -> 37 [size =\"46688256\"]\n  37 [size=\"87432533\", alpha=\"0.16\", expect_size=\"26229760\"] \n  37 -> 38 [size =\"26229760\"]\n  38 [size=\"50790400\", alpha=\"0.09\", expect_size=\"15237120\"] \n  38 -> 39 [size =\"15237120\"]\n  39 [size=\"18899627\", alpha=\"0.15\", expect_size=\"5669888\"] \n  39 -> 40 [size =\"5669888\"]\n  40 [size=\"28009813\", alpha=\"0.10\", expect_size=\"8402944\"] \n  40 -> 41 [size =\"8402944\"]\n  41 [size=\"104550400\", alpha=\"0.04\", expect_size=\"31365120\"] \n  41 -> 42 [size =\"31365120\"]\n  42 [size=\"166024533\", alpha=\"0.18\", expect_size=\"49807360\"] \n  42 -> 43 [size =\"49807360\"]\n  43 [size=\"93129387\", alpha=\"0.01\", expect_size=\"27938816\"] \n  43 -> 44 [size =\"27938816\"]\n  44 [size=\"114237440\", alpha=\"0.19\", expect_size=\"34271232\"] \n  44 -> 45 [size =\"34271232\"]\n  45 [size=\"168335360\", alpha=\"0.08\", expect_size=\"50500608\"] \n  45 -> 46 [size =\"50500608\"]\n  46 [size=\"26484053\", alpha=\"0.01\", expect_size=\"7945216\"] \n  46 -> 47 [size =\"7945216\"]\n  47 [size=\"152951467\", alpha=\"0.07\", expect_size=\"45885440\"] \n  47 -> 48 [size =\"45885440\"]\n  48 [size=\"121961813\", alpha=\"0.10\", expect_size=\"36588544\"] \n  48 -> 49 [size =\"36588544\"]\n  49 [size=\"35229013\", alpha=\"0.09\", expect_size=\"10568704\"] \n  49 -> 50 [size =\"10568704\"]\n  50 [size=\"151002453\", alpha=\"0.15\", expect_size=\"45300736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.344.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73091072\", alpha=\"0.09\", expect_size=\"36545536\"] \n  1 -> 2 [size =\"36545536\"]\n  2 [size=\"47187968\", alpha=\"0.07\", expect_size=\"23593984\"] \n  2 -> 3 [size =\"23593984\"]\n  3 [size=\"101550080\", alpha=\"0.04\", expect_size=\"50775040\"] \n  3 -> 4 [size =\"50775040\"]\n  4 [size=\"96450560\", alpha=\"0.14\", expect_size=\"48225280\"] \n  4 -> 5 [size =\"48225280\"]\n  5 [size=\"22319104\", alpha=\"0.00\", expect_size=\"11159552\"] \n  5 -> 6 [size =\"11159552\"]\n  6 [size=\"74293248\", alpha=\"0.04\", expect_size=\"37146624\"] \n  6 -> 7 [size =\"37146624\"]\n  7 [size=\"62316544\", alpha=\"0.03\", expect_size=\"31158272\"] \n  7 -> 8 [size =\"31158272\"]\n  8 [size=\"36077568\", alpha=\"0.20\", expect_size=\"18038784\"] \n  8 -> 9 [size =\"18038784\"]\n  9 [size=\"97112064\", alpha=\"0.01\", expect_size=\"48556032\"] \n  9 -> 10 [size =\"48556032\"]\n  10 [size=\"59820032\", alpha=\"0.17\", expect_size=\"29910016\"] \n  10 -> 11 [size =\"29910016\"]\n  11 [size=\"46934016\", alpha=\"0.08\", expect_size=\"23467008\"] \n  11 -> 12 [size =\"23467008\"]\n  12 [size=\"87814144\", alpha=\"0.17\", expect_size=\"43907072\"] \n  12 -> 13 [size =\"43907072\"]\n  13 [size=\"25491456\", alpha=\"0.15\", expect_size=\"12745728\"] \n  13 -> 14 [size =\"12745728\"]\n  14 [size=\"42807296\", alpha=\"0.06\", expect_size=\"21403648\"] \n  14 -> 15 [size =\"21403648\"]\n  15 [size=\"13637632\", alpha=\"0.08\", expect_size=\"6818816\"] \n  15 -> 16 [size =\"6818816\"]\n  16 [size=\"14227456\", alpha=\"0.00\", expect_size=\"7113728\"] \n  16 -> 17 [size =\"7113728\"]\n  17 [size=\"35201024\", alpha=\"0.14\", expect_size=\"17600512\"] \n  17 -> 18 [size =\"17600512\"]\n  18 [size=\"47212544\", alpha=\"0.12\", expect_size=\"23606272\"] \n  18 -> 19 [size =\"23606272\"]\n  19 [size=\"45756416\", alpha=\"0.01\", expect_size=\"22878208\"] \n  19 -> 20 [size =\"22878208\"]\n  20 [size=\"48230400\", alpha=\"0.05\", expect_size=\"24115200\"] \n  20 -> 21 [size =\"24115200\"]\n  21 [size=\"34080768\", alpha=\"0.03\", expect_size=\"17040384\"] \n  21 -> 22 [size =\"17040384\"]\n  22 [size=\"70146048\", alpha=\"0.09\", expect_size=\"35073024\"] \n  22 -> 23 [size =\"35073024\"]\n  23 [size=\"54282240\", alpha=\"0.14\", expect_size=\"27141120\"] \n  23 -> 24 [size =\"27141120\"]\n  24 [size=\"30029824\", alpha=\"0.17\", expect_size=\"15014912\"] \n  24 -> 25 [size =\"15014912\"]\n  25 [size=\"57448448\", alpha=\"0.03\", expect_size=\"28724224\"] \n  25 -> 26 [size =\"28724224\"]\n  26 [size=\"96370688\", alpha=\"0.02\", expect_size=\"48185344\"] \n  26 -> 27 [size =\"48185344\"]\n  27 [size=\"97628160\", alpha=\"0.12\", expect_size=\"48814080\"] \n  27 -> 28 [size =\"48814080\"]\n  28 [size=\"67643392\", alpha=\"0.08\", expect_size=\"33821696\"] \n  28 -> 29 [size =\"33821696\"]\n  29 [size=\"30527488\", alpha=\"0.02\", expect_size=\"15263744\"] \n  29 -> 30 [size =\"15263744\"]\n  30 [size=\"32929792\", alpha=\"0.07\", expect_size=\"16464896\"] \n  30 -> 31 [size =\"16464896\"]\n  31 [size=\"57399296\", alpha=\"0.19\", expect_size=\"28699648\"] \n  31 -> 32 [size =\"28699648\"]\n  32 [size=\"72169472\", alpha=\"0.07\", expect_size=\"36084736\"] \n  32 -> 33 [size =\"36084736\"]\n  33 [size=\"19572736\", alpha=\"0.19\", expect_size=\"9786368\"] \n  33 -> 34 [size =\"9786368\"]\n  34 [size=\"85047296\", alpha=\"0.18\", expect_size=\"42523648\"] \n  34 -> 35 [size =\"42523648\"]\n  35 [size=\"71442432\", alpha=\"0.17\", expect_size=\"35721216\"] \n  35 -> 36 [size =\"35721216\"]\n  36 [size=\"84963328\", alpha=\"0.17\", expect_size=\"42481664\"] \n  36 -> 37 [size =\"42481664\"]\n  37 [size=\"95051776\", alpha=\"0.03\", expect_size=\"47525888\"] \n  37 -> 38 [size =\"47525888\"]\n  38 [size=\"59160576\", alpha=\"0.16\", expect_size=\"29580288\"] \n  38 -> 39 [size =\"29580288\"]\n  39 [size=\"97261568\", alpha=\"0.16\", expect_size=\"48630784\"] \n  39 -> 40 [size =\"48630784\"]\n  40 [size=\"12859392\", alpha=\"0.05\", expect_size=\"6429696\"] \n  40 -> 41 [size =\"6429696\"]\n  41 [size=\"44036096\", alpha=\"0.19\", expect_size=\"22018048\"] \n  41 -> 42 [size =\"22018048\"]\n  42 [size=\"38500352\", alpha=\"0.05\", expect_size=\"19250176\"] \n  42 -> 43 [size =\"19250176\"]\n  43 [size=\"73576448\", alpha=\"0.00\", expect_size=\"36788224\"] \n  43 -> 44 [size =\"36788224\"]\n  44 [size=\"69900288\", alpha=\"0.20\", expect_size=\"34950144\"] \n  44 -> 45 [size =\"34950144\"]\n  45 [size=\"59795456\", alpha=\"0.10\", expect_size=\"29897728\"] \n  45 -> 46 [size =\"29897728\"]\n  46 [size=\"46413824\", alpha=\"0.17\", expect_size=\"23206912\"] \n  46 -> 47 [size =\"23206912\"]\n  47 [size=\"33501184\", alpha=\"0.04\", expect_size=\"16750592\"] \n  47 -> 48 [size =\"16750592\"]\n  48 [size=\"45768704\", alpha=\"0.02\", expect_size=\"22884352\"] \n  48 -> 49 [size =\"22884352\"]\n  49 [size=\"25575424\", alpha=\"0.05\", expect_size=\"12787712\"] \n  49 -> 50 [size =\"12787712\"]\n  50 [size=\"102563840\", alpha=\"0.12\", expect_size=\"51281920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.345.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53644800\", alpha=\"0.02\", expect_size=\"21457920\"] \n  1 -> 3 [size =\"21457920\"]\n  1 -> 4 [size =\"21457920\"]\n  2 [size=\"89576960\", alpha=\"0.10\", expect_size=\"35830784\"] \n  2 -> 3 [size =\"35830784\"]\n  2 -> 4 [size =\"35830784\"]\n  3 [size=\"56330240\", alpha=\"0.02\", expect_size=\"22532096\"] \n  3 -> 6 [size =\"22532096\"]\n  4 [size=\"101107200\", alpha=\"0.12\", expect_size=\"40442880\"] \n  4 -> 5 [size =\"40442880\"]\n  5 [size=\"13790720\", alpha=\"0.11\", expect_size=\"5516288\"] \n  5 -> 7 [size =\"5516288\"]\n  5 -> 8 [size =\"5516288\"]\n  5 -> 9 [size =\"5516288\"]\n  6 [size=\"45319680\", alpha=\"0.02\", expect_size=\"18127872\"] \n  7 [size=\"65679360\", alpha=\"0.12\", expect_size=\"26271744\"] \n  8 [size=\"30115840\", alpha=\"0.07\", expect_size=\"12046336\"] \n  8 -> 10 [size =\"12046336\"]\n  9 [size=\"128363520\", alpha=\"0.14\", expect_size=\"51345408\"] \n  9 -> 10 [size =\"51345408\"]\n  9 -> 11 [size =\"51345408\"]\n  10 [size=\"30771200\", alpha=\"0.07\", expect_size=\"12308480\"] \n  10 -> 12 [size =\"12308480\"]\n  11 [size=\"108451840\", alpha=\"0.10\", expect_size=\"43380736\"] \n  11 -> 12 [size =\"43380736\"]\n  11 -> 13 [size =\"43380736\"]\n  12 [size=\"122040320\", alpha=\"0.07\", expect_size=\"48816128\"] \n  12 -> 14 [size =\"48816128\"]\n  12 -> 15 [size =\"48816128\"]\n  13 [size=\"64924160\", alpha=\"0.02\", expect_size=\"25969664\"] \n  13 -> 15 [size =\"25969664\"]\n  13 -> 16 [size =\"25969664\"]\n  14 [size=\"77762560\", alpha=\"0.16\", expect_size=\"31105024\"] \n  15 [size=\"29424640\", alpha=\"0.19\", expect_size=\"11769856\"] \n  16 [size=\"95751680\", alpha=\"0.08\", expect_size=\"38300672\"] \n  16 -> 17 [size =\"38300672\"]\n  16 -> 18 [size =\"38300672\"]\n  17 [size=\"107735040\", alpha=\"0.14\", expect_size=\"43094016\"] \n  17 -> 20 [size =\"43094016\"]\n  17 -> 21 [size =\"43094016\"]\n  18 [size=\"62200320\", alpha=\"0.05\", expect_size=\"24880128\"] \n  18 -> 19 [size =\"24880128\"]\n  18 -> 21 [size =\"24880128\"]\n  19 [size=\"101693440\", alpha=\"0.09\", expect_size=\"40677376\"] \n  19 -> 22 [size =\"40677376\"]\n  19 -> 24 [size =\"40677376\"]\n  20 [size=\"66854400\", alpha=\"0.09\", expect_size=\"26741760\"] \n  21 [size=\"107100160\", alpha=\"0.16\", expect_size=\"42840064\"] \n  21 -> 23 [size =\"42840064\"]\n  21 -> 24 [size =\"42840064\"]\n  22 [size=\"49262080\", alpha=\"0.16\", expect_size=\"19704832\"] \n  22 -> 25 [size =\"19704832\"]\n  22 -> 27 [size =\"19704832\"]\n  23 [size=\"92231680\", alpha=\"0.03\", expect_size=\"36892672\"] \n  23 -> 26 [size =\"36892672\"]\n  24 [size=\"102423040\", alpha=\"0.05\", expect_size=\"40969216\"] \n  24 -> 25 [size =\"40969216\"]\n  25 [size=\"80128000\", alpha=\"0.08\", expect_size=\"32051200\"] \n  25 -> 29 [size =\"32051200\"]\n  26 [size=\"73792000\", alpha=\"0.15\", expect_size=\"29516800\"] \n  26 -> 28 [size =\"29516800\"]\n  26 -> 29 [size =\"29516800\"]\n  27 [size=\"123420160\", alpha=\"0.12\", expect_size=\"49368064\"] \n  28 [size=\"86999040\", alpha=\"0.12\", expect_size=\"34799616\"] \n  28 -> 30 [size =\"34799616\"]\n  28 -> 32 [size =\"34799616\"]\n  29 [size=\"114490880\", alpha=\"0.11\", expect_size=\"45796352\"] \n  29 -> 31 [size =\"45796352\"]\n  29 -> 32 [size =\"45796352\"]\n  30 [size=\"48010240\", alpha=\"0.13\", expect_size=\"19204096\"] \n  30 -> 33 [size =\"19204096\"]\n  31 [size=\"100280320\", alpha=\"0.11\", expect_size=\"40112128\"] \n  32 [size=\"75909120\", alpha=\"0.08\", expect_size=\"30363648\"] \n  32 -> 33 [size =\"30363648\"]\n  32 -> 34 [size =\"30363648\"]\n  32 -> 35 [size =\"30363648\"]\n  33 [size=\"51374080\", alpha=\"0.14\", expect_size=\"20549632\"] \n  33 -> 36 [size =\"20549632\"]\n  33 -> 37 [size =\"20549632\"]\n  34 [size=\"69893120\", alpha=\"0.10\", expect_size=\"27957248\"] \n  34 -> 37 [size =\"27957248\"]\n  35 [size=\"101509120\", alpha=\"0.09\", expect_size=\"40603648\"] \n  35 -> 36 [size =\"40603648\"]\n  35 -> 38 [size =\"40603648\"]\n  36 [size=\"28940800\", alpha=\"0.03\", expect_size=\"11576320\"] \n  36 -> 39 [size =\"11576320\"]\n  36 -> 40 [size =\"11576320\"]\n  37 [size=\"120325120\", alpha=\"0.12\", expect_size=\"48130048\"] \n  38 [size=\"74347520\", alpha=\"0.10\", expect_size=\"29739008\"] \n  39 [size=\"25976320\", alpha=\"0.02\", expect_size=\"10390528\"] \n  39 -> 42 [size =\"10390528\"]\n  40 [size=\"90472960\", alpha=\"0.04\", expect_size=\"36189184\"] \n  40 -> 41 [size =\"36189184\"]\n  41 [size=\"49571840\", alpha=\"0.02\", expect_size=\"19828736\"] \n  41 -> 43 [size =\"19828736\"]\n  41 -> 44 [size =\"19828736\"]\n  42 [size=\"116582400\", alpha=\"0.06\", expect_size=\"46632960\"] \n  42 -> 45 [size =\"46632960\"]\n  43 [size=\"46545920\", alpha=\"0.03\", expect_size=\"18618368\"] \n  43 -> 46 [size =\"18618368\"]\n  43 -> 47 [size =\"18618368\"]\n  44 [size=\"127211520\", alpha=\"0.15\", expect_size=\"50884608\"] \n  44 -> 46 [size =\"50884608\"]\n  44 -> 48 [size =\"50884608\"]\n  45 [size=\"69337600\", alpha=\"0.19\", expect_size=\"27735040\"] \n  45 -> 48 [size =\"27735040\"]\n  46 [size=\"125176320\", alpha=\"0.13\", expect_size=\"50070528\"] \n  46 -> 49 [size =\"50070528\"]\n  46 -> 50 [size =\"50070528\"]\n  47 [size=\"23477760\", alpha=\"0.06\", expect_size=\"9391104\"] \n  47 -> 49 [size =\"9391104\"]\n  48 [size=\"94799360\", alpha=\"0.11\", expect_size=\"37919744\"] \n  48 -> 50 [size =\"37919744\"]\n  49 [size=\"34339840\", alpha=\"0.14\", expect_size=\"13735936\"] \n  50 [size=\"48655360\", alpha=\"0.02\", expect_size=\"19462144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.346.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23488512\", alpha=\"0.15\", expect_size=\"11744256\"] \n  1 -> 16 [size =\"11744256\"]\n  1 -> 18 [size =\"11744256\"]\n  1 -> 21 [size =\"11744256\"]\n  1 -> 25 [size =\"11744256\"]\n  1 -> 26 [size =\"11744256\"]\n  1 -> 27 [size =\"11744256\"]\n  1 -> 28 [size =\"11744256\"]\n  1 -> 29 [size =\"11744256\"]\n  2 [size=\"35565568\", alpha=\"0.14\", expect_size=\"17782784\"] \n  2 -> 21 [size =\"17782784\"]\n  2 -> 22 [size =\"17782784\"]\n  2 -> 24 [size =\"17782784\"]\n  2 -> 25 [size =\"17782784\"]\n  2 -> 26 [size =\"17782784\"]\n  2 -> 27 [size =\"17782784\"]\n  2 -> 29 [size =\"17782784\"]\n  3 [size=\"78565376\", alpha=\"0.11\", expect_size=\"39282688\"] \n  3 -> 20 [size =\"39282688\"]\n  3 -> 21 [size =\"39282688\"]\n  3 -> 22 [size =\"39282688\"]\n  3 -> 24 [size =\"39282688\"]\n  3 -> 25 [size =\"39282688\"]\n  3 -> 27 [size =\"39282688\"]\n  3 -> 29 [size =\"39282688\"]\n  4 [size=\"99325952\", alpha=\"0.16\", expect_size=\"49662976\"] \n  4 -> 19 [size =\"49662976\"]\n  4 -> 27 [size =\"49662976\"]\n  5 [size=\"14475264\", alpha=\"0.01\", expect_size=\"7237632\"] \n  5 -> 18 [size =\"7237632\"]\n  5 -> 25 [size =\"7237632\"]\n  6 [size=\"103933952\", alpha=\"0.06\", expect_size=\"51966976\"] \n  6 -> 16 [size =\"51966976\"]\n  6 -> 20 [size =\"51966976\"]\n  6 -> 21 [size =\"51966976\"]\n  6 -> 22 [size =\"51966976\"]\n  6 -> 23 [size =\"51966976\"]\n  6 -> 27 [size =\"51966976\"]\n  7 [size=\"60594176\", alpha=\"0.17\", expect_size=\"30297088\"] \n  7 -> 16 [size =\"30297088\"]\n  7 -> 17 [size =\"30297088\"]\n  7 -> 20 [size =\"30297088\"]\n  7 -> 21 [size =\"30297088\"]\n  7 -> 22 [size =\"30297088\"]\n  7 -> 25 [size =\"30297088\"]\n  7 -> 26 [size =\"30297088\"]\n  7 -> 29 [size =\"30297088\"]\n  8 [size=\"56459264\", alpha=\"0.13\", expect_size=\"28229632\"] \n  8 -> 16 [size =\"28229632\"]\n  8 -> 19 [size =\"28229632\"]\n  8 -> 20 [size =\"28229632\"]\n  8 -> 21 [size =\"28229632\"]\n  8 -> 24 [size =\"28229632\"]\n  8 -> 26 [size =\"28229632\"]\n  8 -> 27 [size =\"28229632\"]\n  9 [size=\"86906880\", alpha=\"0.10\", expect_size=\"43453440\"] \n  9 -> 16 [size =\"43453440\"]\n  9 -> 25 [size =\"43453440\"]\n  9 -> 27 [size =\"43453440\"]\n  10 [size=\"11591680\", alpha=\"0.10\", expect_size=\"5795840\"] \n  10 -> 16 [size =\"5795840\"]\n  10 -> 20 [size =\"5795840\"]\n  10 -> 21 [size =\"5795840\"]\n  10 -> 25 [size =\"5795840\"]\n  10 -> 26 [size =\"5795840\"]\n  10 -> 29 [size =\"5795840\"]\n  11 [size=\"69801984\", alpha=\"0.16\", expect_size=\"34900992\"] \n  11 -> 15 [size =\"34900992\"]\n  11 -> 16 [size =\"34900992\"]\n  11 -> 18 [size =\"34900992\"]\n  11 -> 20 [size =\"34900992\"]\n  11 -> 21 [size =\"34900992\"]\n  11 -> 28 [size =\"34900992\"]\n  12 [size=\"47802368\", alpha=\"0.14\", expect_size=\"23901184\"] \n  12 -> 16 [size =\"23901184\"]\n  12 -> 16 [size =\"23901184\"]\n  12 -> 25 [size =\"23901184\"]\n  12 -> 27 [size =\"23901184\"]\n  13 [size=\"18395136\", alpha=\"0.16\", expect_size=\"9197568\"] \n  13 -> 17 [size =\"9197568\"]\n  13 -> 18 [size =\"9197568\"]\n  13 -> 19 [size =\"9197568\"]\n  13 -> 24 [size =\"9197568\"]\n  13 -> 27 [size =\"9197568\"]\n  14 [size=\"68534272\", alpha=\"0.09\", expect_size=\"34267136\"] \n  14 -> 18 [size =\"34267136\"]\n  14 -> 20 [size =\"34267136\"]\n  14 -> 24 [size =\"34267136\"]\n  14 -> 26 [size =\"34267136\"]\n  14 -> 29 [size =\"34267136\"]\n  15 [size=\"49518592\", alpha=\"0.06\", expect_size=\"24759296\"] \n  15 -> 31 [size =\"24759296\"]\n  15 -> 33 [size =\"24759296\"]\n  15 -> 41 [size =\"24759296\"]\n  16 [size=\"52736000\", alpha=\"0.05\", expect_size=\"26368000\"] \n  16 -> 31 [size =\"26368000\"]\n  16 -> 33 [size =\"26368000\"]\n  16 -> 36 [size =\"26368000\"]\n  17 [size=\"80113664\", alpha=\"0.13\", expect_size=\"40056832\"] \n  17 -> 36 [size =\"40056832\"]\n  17 -> 37 [size =\"40056832\"]\n  18 [size=\"63987712\", alpha=\"0.09\", expect_size=\"31993856\"] \n  18 -> 31 [size =\"31993856\"]\n  18 -> 32 [size =\"31993856\"]\n  18 -> 34 [size =\"31993856\"]\n  18 -> 35 [size =\"31993856\"]\n  18 -> 36 [size =\"31993856\"]\n  18 -> 37 [size =\"31993856\"]\n  18 -> 41 [size =\"31993856\"]\n  19 [size=\"29169664\", alpha=\"0.17\", expect_size=\"14584832\"] \n  19 -> 31 [size =\"14584832\"]\n  19 -> 32 [size =\"14584832\"]\n  19 -> 33 [size =\"14584832\"]\n  19 -> 37 [size =\"14584832\"]\n  19 -> 41 [size =\"14584832\"]\n  19 -> 42 [size =\"14584832\"]\n  20 [size=\"74225664\", alpha=\"0.16\", expect_size=\"37112832\"] \n  20 -> 31 [size =\"37112832\"]\n  20 -> 37 [size =\"37112832\"]\n  20 -> 39 [size =\"37112832\"]\n  20 -> 41 [size =\"37112832\"]\n  20 -> 42 [size =\"37112832\"]\n  21 [size=\"26716160\", alpha=\"0.19\", expect_size=\"13358080\"] \n  21 -> 31 [size =\"13358080\"]\n  21 -> 33 [size =\"13358080\"]\n  21 -> 37 [size =\"13358080\"]\n  21 -> 39 [size =\"13358080\"]\n  21 -> 41 [size =\"13358080\"]\n  21 -> 42 [size =\"13358080\"]\n  22 [size=\"100409344\", alpha=\"0.06\", expect_size=\"50204672\"] \n  22 -> 32 [size =\"50204672\"]\n  22 -> 33 [size =\"50204672\"]\n  22 -> 37 [size =\"50204672\"]\n  22 -> 38 [size =\"50204672\"]\n  22 -> 41 [size =\"50204672\"]\n  23 [size=\"71348224\", alpha=\"0.08\", expect_size=\"35674112\"] \n  23 -> 30 [size =\"35674112\"]\n  23 -> 31 [size =\"35674112\"]\n  23 -> 32 [size =\"35674112\"]\n  23 -> 33 [size =\"35674112\"]\n  23 -> 35 [size =\"35674112\"]\n  23 -> 36 [size =\"35674112\"]\n  23 -> 37 [size =\"35674112\"]\n  23 -> 38 [size =\"35674112\"]\n  24 [size=\"51685376\", alpha=\"0.09\", expect_size=\"25842688\"] \n  24 -> 30 [size =\"25842688\"]\n  24 -> 31 [size =\"25842688\"]\n  24 -> 32 [size =\"25842688\"]\n  24 -> 36 [size =\"25842688\"]\n  24 -> 37 [size =\"25842688\"]\n  24 -> 41 [size =\"25842688\"]\n  25 [size=\"93366272\", alpha=\"0.11\", expect_size=\"46683136\"] \n  25 -> 30 [size =\"46683136\"]\n  25 -> 33 [size =\"46683136\"]\n  25 -> 34 [size =\"46683136\"]\n  25 -> 39 [size =\"46683136\"]\n  25 -> 40 [size =\"46683136\"]\n  25 -> 41 [size =\"46683136\"]\n  26 [size=\"25362432\", alpha=\"0.12\", expect_size=\"12681216\"] \n  26 -> 34 [size =\"12681216\"]\n  26 -> 39 [size =\"12681216\"]\n  27 [size=\"51273728\", alpha=\"0.04\", expect_size=\"25636864\"] \n  27 -> 30 [size =\"25636864\"]\n  27 -> 32 [size =\"25636864\"]\n  27 -> 33 [size =\"25636864\"]\n  27 -> 39 [size =\"25636864\"]\n  28 [size=\"20408320\", alpha=\"0.06\", expect_size=\"10204160\"] \n  28 -> 31 [size =\"10204160\"]\n  28 -> 39 [size =\"10204160\"]\n  28 -> 41 [size =\"10204160\"]\n  29 [size=\"64575488\", alpha=\"0.04\", expect_size=\"32287744\"] \n  29 -> 30 [size =\"32287744\"]\n  29 -> 37 [size =\"32287744\"]\n  29 -> 39 [size =\"32287744\"]\n  29 -> 42 [size =\"32287744\"]\n  30 [size=\"50647040\", alpha=\"0.02\", expect_size=\"25323520\"] \n  30 -> 45 [size =\"25323520\"]\n  30 -> 48 [size =\"25323520\"]\n  31 [size=\"34105344\", alpha=\"0.13\", expect_size=\"17052672\"] \n  31 -> 43 [size =\"17052672\"]\n  31 -> 49 [size =\"17052672\"]\n  32 [size=\"27951104\", alpha=\"0.11\", expect_size=\"13975552\"] \n  32 -> 43 [size =\"13975552\"]\n  32 -> 46 [size =\"13975552\"]\n  32 -> 47 [size =\"13975552\"]\n  32 -> 48 [size =\"13975552\"]\n  33 [size=\"57268224\", alpha=\"0.12\", expect_size=\"28634112\"] \n  33 -> 45 [size =\"28634112\"]\n  34 [size=\"95762432\", alpha=\"0.05\", expect_size=\"47881216\"] \n  34 -> 45 [size =\"47881216\"]\n  35 [size=\"43534336\", alpha=\"0.05\", expect_size=\"21767168\"] \n  35 -> 45 [size =\"21767168\"]\n  36 [size=\"93317120\", alpha=\"0.15\", expect_size=\"46658560\"] \n  36 -> 45 [size =\"46658560\"]\n  37 [size=\"55445504\", alpha=\"0.00\", expect_size=\"27722752\"] \n  37 -> 45 [size =\"27722752\"]\n  38 [size=\"74401792\", alpha=\"0.16\", expect_size=\"37200896\"] \n  38 -> 43 [size =\"37200896\"]\n  38 -> 44 [size =\"37200896\"]\n  38 -> 45 [size =\"37200896\"]\n  39 [size=\"101785600\", alpha=\"0.16\", expect_size=\"50892800\"] \n  39 -> 43 [size =\"50892800\"]\n  39 -> 44 [size =\"50892800\"]\n  39 -> 45 [size =\"50892800\"]\n  39 -> 49 [size =\"50892800\"]\n  39 -> 50 [size =\"50892800\"]\n  40 [size=\"25276416\", alpha=\"0.09\", expect_size=\"12638208\"] \n  40 -> 43 [size =\"12638208\"]\n  40 -> 49 [size =\"12638208\"]\n  41 [size=\"34725888\", alpha=\"0.06\", expect_size=\"17362944\"] \n  42 [size=\"95078400\", alpha=\"0.02\", expect_size=\"47539200\"] \n  42 -> 47 [size =\"47539200\"]\n  42 -> 49 [size =\"47539200\"]\n  43 [size=\"54910976\", alpha=\"0.11\", expect_size=\"27455488\"] \n  44 [size=\"16502784\", alpha=\"0.09\", expect_size=\"8251392\"] \n  45 [size=\"37906432\", alpha=\"0.04\", expect_size=\"18953216\"] \n  46 [size=\"63780864\", alpha=\"0.02\", expect_size=\"31890432\"] \n  47 [size=\"42008576\", alpha=\"0.09\", expect_size=\"21004288\"] \n  48 [size=\"42213376\", alpha=\"0.18\", expect_size=\"21106688\"] \n  49 [size=\"23529472\", alpha=\"0.19\", expect_size=\"11764736\"] \n  50 [size=\"99012608\", alpha=\"0.08\", expect_size=\"49506304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.347.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59176960\", alpha=\"0.05\", expect_size=\"29588480\"] \n  1 -> 9 [size =\"29588480\"]\n  2 [size=\"96931840\", alpha=\"0.11\", expect_size=\"48465920\"] \n  3 [size=\"69414912\", alpha=\"0.18\", expect_size=\"34707456\"] \n  3 -> 8 [size =\"34707456\"]\n  3 -> 11 [size =\"34707456\"]\n  4 [size=\"44062720\", alpha=\"0.06\", expect_size=\"22031360\"] \n  4 -> 7 [size =\"22031360\"]\n  4 -> 8 [size =\"22031360\"]\n  4 -> 12 [size =\"22031360\"]\n  5 [size=\"69691392\", alpha=\"0.18\", expect_size=\"34845696\"] \n  5 -> 10 [size =\"34845696\"]\n  5 -> 12 [size =\"34845696\"]\n  6 [size=\"22337536\", alpha=\"0.09\", expect_size=\"11168768\"] \n  7 [size=\"29042688\", alpha=\"0.19\", expect_size=\"14521344\"] \n  7 -> 13 [size =\"14521344\"]\n  7 -> 16 [size =\"14521344\"]\n  7 -> 17 [size =\"14521344\"]\n  8 [size=\"103960576\", alpha=\"0.08\", expect_size=\"51980288\"] \n  8 -> 13 [size =\"51980288\"]\n  8 -> 14 [size =\"51980288\"]\n  9 [size=\"48259072\", alpha=\"0.13\", expect_size=\"24129536\"] \n  9 -> 13 [size =\"24129536\"]\n  9 -> 18 [size =\"24129536\"]\n  9 -> 19 [size =\"24129536\"]\n  10 [size=\"48322560\", alpha=\"0.02\", expect_size=\"24161280\"] \n  11 [size=\"34127872\", alpha=\"0.09\", expect_size=\"17063936\"] \n  11 -> 14 [size =\"17063936\"]\n  11 -> 15 [size =\"17063936\"]\n  11 -> 19 [size =\"17063936\"]\n  12 [size=\"56102912\", alpha=\"0.06\", expect_size=\"28051456\"] \n  12 -> 14 [size =\"28051456\"]\n  12 -> 17 [size =\"28051456\"]\n  12 -> 19 [size =\"28051456\"]\n  13 [size=\"12314624\", alpha=\"0.10\", expect_size=\"6157312\"] \n  14 [size=\"96757760\", alpha=\"0.08\", expect_size=\"48378880\"] \n  14 -> 20 [size =\"48378880\"]\n  14 -> 22 [size =\"48378880\"]\n  14 -> 23 [size =\"48378880\"]\n  15 [size=\"30803968\", alpha=\"0.16\", expect_size=\"15401984\"] \n  15 -> 22 [size =\"15401984\"]\n  15 -> 23 [size =\"15401984\"]\n  16 [size=\"23379968\", alpha=\"0.01\", expect_size=\"11689984\"] \n  16 -> 21 [size =\"11689984\"]\n  16 -> 22 [size =\"11689984\"]\n  16 -> 24 [size =\"11689984\"]\n  17 [size=\"63727616\", alpha=\"0.01\", expect_size=\"31863808\"] \n  17 -> 23 [size =\"31863808\"]\n  18 [size=\"61188096\", alpha=\"0.05\", expect_size=\"30594048\"] \n  18 -> 21 [size =\"30594048\"]\n  19 [size=\"97759232\", alpha=\"0.01\", expect_size=\"48879616\"] \n  19 -> 23 [size =\"48879616\"]\n  20 [size=\"63737856\", alpha=\"0.12\", expect_size=\"31868928\"] \n  20 -> 25 [size =\"31868928\"]\n  20 -> 26 [size =\"31868928\"]\n  21 [size=\"75290624\", alpha=\"0.13\", expect_size=\"37645312\"] \n  21 -> 25 [size =\"37645312\"]\n  21 -> 26 [size =\"37645312\"]\n  22 [size=\"25559040\", alpha=\"0.12\", expect_size=\"12779520\"] \n  22 -> 25 [size =\"12779520\"]\n  23 [size=\"53731328\", alpha=\"0.04\", expect_size=\"26865664\"] \n  23 -> 26 [size =\"26865664\"]\n  24 [size=\"101513216\", alpha=\"0.02\", expect_size=\"50756608\"] \n  24 -> 27 [size =\"50756608\"]\n  25 [size=\"46315520\", alpha=\"0.14\", expect_size=\"23157760\"] \n  25 -> 28 [size =\"23157760\"]\n  25 -> 30 [size =\"23157760\"]\n  25 -> 33 [size =\"23157760\"]\n  25 -> 35 [size =\"23157760\"]\n  26 [size=\"27426816\", alpha=\"0.08\", expect_size=\"13713408\"] \n  26 -> 28 [size =\"13713408\"]\n  26 -> 31 [size =\"13713408\"]\n  26 -> 32 [size =\"13713408\"]\n  27 [size=\"34203648\", alpha=\"0.05\", expect_size=\"17101824\"] \n  27 -> 29 [size =\"17101824\"]\n  27 -> 31 [size =\"17101824\"]\n  27 -> 32 [size =\"17101824\"]\n  27 -> 34 [size =\"17101824\"]\n  28 [size=\"41236480\", alpha=\"0.03\", expect_size=\"20618240\"] \n  28 -> 36 [size =\"20618240\"]\n  28 -> 39 [size =\"20618240\"]\n  29 [size=\"65869824\", alpha=\"0.09\", expect_size=\"32934912\"] \n  29 -> 39 [size =\"32934912\"]\n  29 -> 41 [size =\"32934912\"]\n  30 [size=\"72247296\", alpha=\"0.02\", expect_size=\"36123648\"] \n  30 -> 37 [size =\"36123648\"]\n  30 -> 38 [size =\"36123648\"]\n  31 [size=\"34021376\", alpha=\"0.01\", expect_size=\"17010688\"] \n  31 -> 37 [size =\"17010688\"]\n  31 -> 38 [size =\"17010688\"]\n  31 -> 40 [size =\"17010688\"]\n  31 -> 41 [size =\"17010688\"]\n  32 [size=\"94255104\", alpha=\"0.09\", expect_size=\"47127552\"] \n  32 -> 37 [size =\"47127552\"]\n  32 -> 40 [size =\"47127552\"]\n  32 -> 41 [size =\"47127552\"]\n  33 [size=\"56281088\", alpha=\"0.18\", expect_size=\"28140544\"] \n  33 -> 39 [size =\"28140544\"]\n  33 -> 40 [size =\"28140544\"]\n  33 -> 41 [size =\"28140544\"]\n  34 [size=\"73400320\", alpha=\"0.05\", expect_size=\"36700160\"] \n  35 [size=\"84819968\", alpha=\"0.16\", expect_size=\"42409984\"] \n  35 -> 38 [size =\"42409984\"]\n  36 [size=\"55373824\", alpha=\"0.10\", expect_size=\"27686912\"] \n  36 -> 46 [size =\"27686912\"]\n  36 -> 47 [size =\"27686912\"]\n  36 -> 48 [size =\"27686912\"]\n  36 -> 50 [size =\"27686912\"]\n  37 [size=\"91287552\", alpha=\"0.15\", expect_size=\"45643776\"] \n  37 -> 42 [size =\"45643776\"]\n  37 -> 43 [size =\"45643776\"]\n  37 -> 45 [size =\"45643776\"]\n  37 -> 50 [size =\"45643776\"]\n  38 [size=\"22374400\", alpha=\"0.11\", expect_size=\"11187200\"] \n  38 -> 46 [size =\"11187200\"]\n  39 [size=\"36485120\", alpha=\"0.06\", expect_size=\"18242560\"] \n  39 -> 42 [size =\"18242560\"]\n  39 -> 44 [size =\"18242560\"]\n  39 -> 50 [size =\"18242560\"]\n  40 [size=\"77021184\", alpha=\"0.12\", expect_size=\"38510592\"] \n  40 -> 44 [size =\"38510592\"]\n  40 -> 45 [size =\"38510592\"]\n  40 -> 46 [size =\"38510592\"]\n  40 -> 47 [size =\"38510592\"]\n  41 [size=\"87447552\", alpha=\"0.11\", expect_size=\"43723776\"] \n  41 -> 43 [size =\"43723776\"]\n  41 -> 45 [size =\"43723776\"]\n  41 -> 47 [size =\"43723776\"]\n  41 -> 49 [size =\"43723776\"]\n  42 [size=\"91406336\", alpha=\"0.14\", expect_size=\"45703168\"] \n  43 [size=\"40142848\", alpha=\"0.06\", expect_size=\"20071424\"] \n  44 [size=\"29863936\", alpha=\"0.17\", expect_size=\"14931968\"] \n  45 [size=\"52465664\", alpha=\"0.16\", expect_size=\"26232832\"] \n  46 [size=\"33900544\", alpha=\"0.18\", expect_size=\"16950272\"] \n  47 [size=\"81430528\", alpha=\"0.06\", expect_size=\"40715264\"] \n  48 [size=\"59557888\", alpha=\"0.20\", expect_size=\"29778944\"] \n  49 [size=\"18984960\", alpha=\"0.05\", expect_size=\"9492480\"] \n  50 [size=\"46983168\", alpha=\"0.04\", expect_size=\"23491584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.348.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79776427\", alpha=\"0.13\", expect_size=\"23932928\"] \n  1 -> 20 [size =\"23932928\"]\n  1 -> 25 [size =\"23932928\"]\n  1 -> 26 [size =\"23932928\"]\n  1 -> 27 [size =\"23932928\"]\n  1 -> 32 [size =\"23932928\"]\n  1 -> 33 [size =\"23932928\"]\n  2 [size=\"50442240\", alpha=\"0.03\", expect_size=\"15132672\"] \n  2 -> 19 [size =\"15132672\"]\n  2 -> 20 [size =\"15132672\"]\n  2 -> 21 [size =\"15132672\"]\n  2 -> 24 [size =\"15132672\"]\n  2 -> 26 [size =\"15132672\"]\n  2 -> 27 [size =\"15132672\"]\n  2 -> 29 [size =\"15132672\"]\n  2 -> 32 [size =\"15132672\"]\n  2 -> 34 [size =\"15132672\"]\n  3 [size=\"100133547\", alpha=\"0.05\", expect_size=\"30040064\"] \n  3 -> 22 [size =\"30040064\"]\n  3 -> 23 [size =\"30040064\"]\n  3 -> 24 [size =\"30040064\"]\n  3 -> 27 [size =\"30040064\"]\n  3 -> 31 [size =\"30040064\"]\n  3 -> 32 [size =\"30040064\"]\n  3 -> 33 [size =\"30040064\"]\n  4 [size=\"117326507\", alpha=\"0.02\", expect_size=\"35197952\"] \n  4 -> 19 [size =\"35197952\"]\n  4 -> 26 [size =\"35197952\"]\n  4 -> 28 [size =\"35197952\"]\n  4 -> 30 [size =\"35197952\"]\n  4 -> 32 [size =\"35197952\"]\n  4 -> 35 [size =\"35197952\"]\n  5 [size=\"117381120\", alpha=\"0.08\", expect_size=\"35214336\"] \n  5 -> 22 [size =\"35214336\"]\n  5 -> 23 [size =\"35214336\"]\n  5 -> 28 [size =\"35214336\"]\n  5 -> 31 [size =\"35214336\"]\n  5 -> 33 [size =\"35214336\"]\n  6 [size=\"144124587\", alpha=\"0.06\", expect_size=\"43237376\"] \n  6 -> 20 [size =\"43237376\"]\n  6 -> 24 [size =\"43237376\"]\n  6 -> 26 [size =\"43237376\"]\n  6 -> 28 [size =\"43237376\"]\n  6 -> 29 [size =\"43237376\"]\n  6 -> 33 [size =\"43237376\"]\n  6 -> 35 [size =\"43237376\"]\n  7 [size=\"96969387\", alpha=\"0.18\", expect_size=\"29090816\"] \n  7 -> 18 [size =\"29090816\"]\n  7 -> 19 [size =\"29090816\"]\n  7 -> 20 [size =\"29090816\"]\n  7 -> 22 [size =\"29090816\"]\n  7 -> 23 [size =\"29090816\"]\n  7 -> 24 [size =\"29090816\"]\n  7 -> 26 [size =\"29090816\"]\n  7 -> 28 [size =\"29090816\"]\n  7 -> 29 [size =\"29090816\"]\n  7 -> 33 [size =\"29090816\"]\n  7 -> 34 [size =\"29090816\"]\n  7 -> 35 [size =\"29090816\"]\n  8 [size=\"56190293\", alpha=\"0.03\", expect_size=\"16857088\"] \n  8 -> 18 [size =\"16857088\"]\n  8 -> 19 [size =\"16857088\"]\n  8 -> 20 [size =\"16857088\"]\n  8 -> 21 [size =\"16857088\"]\n  8 -> 24 [size =\"16857088\"]\n  8 -> 24 [size =\"16857088\"]\n  8 -> 26 [size =\"16857088\"]\n  8 -> 28 [size =\"16857088\"]\n  8 -> 31 [size =\"16857088\"]\n  8 -> 33 [size =\"16857088\"]\n  8 -> 34 [size =\"16857088\"]\n  8 -> 35 [size =\"16857088\"]\n  9 [size=\"160925013\", alpha=\"0.03\", expect_size=\"48277504\"] \n  9 -> 18 [size =\"48277504\"]\n  9 -> 19 [size =\"48277504\"]\n  9 -> 20 [size =\"48277504\"]\n  9 -> 21 [size =\"48277504\"]\n  9 -> 22 [size =\"48277504\"]\n  9 -> 26 [size =\"48277504\"]\n  9 -> 26 [size =\"48277504\"]\n  9 -> 29 [size =\"48277504\"]\n  9 -> 33 [size =\"48277504\"]\n  9 -> 34 [size =\"48277504\"]\n  10 [size=\"86838613\", alpha=\"0.18\", expect_size=\"26051584\"] \n  10 -> 18 [size =\"26051584\"]\n  10 -> 20 [size =\"26051584\"]\n  10 -> 20 [size =\"26051584\"]\n  10 -> 24 [size =\"26051584\"]\n  10 -> 26 [size =\"26051584\"]\n  10 -> 28 [size =\"26051584\"]\n  10 -> 33 [size =\"26051584\"]\n  10 -> 34 [size =\"26051584\"]\n  11 [size=\"44424533\", alpha=\"0.05\", expect_size=\"13327360\"] \n  11 -> 20 [size =\"13327360\"]\n  11 -> 26 [size =\"13327360\"]\n  11 -> 27 [size =\"13327360\"]\n  11 -> 33 [size =\"13327360\"]\n  11 -> 35 [size =\"13327360\"]\n  12 [size=\"149575680\", alpha=\"0.14\", expect_size=\"44872704\"] \n  12 -> 18 [size =\"44872704\"]\n  12 -> 19 [size =\"44872704\"]\n  12 -> 21 [size =\"44872704\"]\n  12 -> 24 [size =\"44872704\"]\n  12 -> 28 [size =\"44872704\"]\n  12 -> 29 [size =\"44872704\"]\n  12 -> 34 [size =\"44872704\"]\n  12 -> 35 [size =\"44872704\"]\n  13 [size=\"170717867\", alpha=\"0.19\", expect_size=\"51215360\"] \n  13 -> 19 [size =\"51215360\"]\n  13 -> 19 [size =\"51215360\"]\n  13 -> 22 [size =\"51215360\"]\n  13 -> 28 [size =\"51215360\"]\n  13 -> 28 [size =\"51215360\"]\n  13 -> 31 [size =\"51215360\"]\n  13 -> 32 [size =\"51215360\"]\n  14 [size=\"52589227\", alpha=\"0.02\", expect_size=\"15776768\"] \n  14 -> 19 [size =\"15776768\"]\n  14 -> 21 [size =\"15776768\"]\n  14 -> 22 [size =\"15776768\"]\n  14 -> 24 [size =\"15776768\"]\n  14 -> 28 [size =\"15776768\"]\n  14 -> 29 [size =\"15776768\"]\n  14 -> 32 [size =\"15776768\"]\n  15 [size=\"71263573\", alpha=\"0.08\", expect_size=\"21379072\"] \n  15 -> 19 [size =\"21379072\"]\n  15 -> 22 [size =\"21379072\"]\n  15 -> 29 [size =\"21379072\"]\n  15 -> 32 [size =\"21379072\"]\n  15 -> 33 [size =\"21379072\"]\n  15 -> 34 [size =\"21379072\"]\n  16 [size=\"133823147\", alpha=\"0.11\", expect_size=\"40146944\"] \n  16 -> 18 [size =\"40146944\"]\n  16 -> 29 [size =\"40146944\"]\n  16 -> 30 [size =\"40146944\"]\n  16 -> 32 [size =\"40146944\"]\n  16 -> 33 [size =\"40146944\"]\n  17 [size=\"21876053\", alpha=\"0.07\", expect_size=\"6562816\"] \n  17 -> 18 [size =\"6562816\"]\n  17 -> 20 [size =\"6562816\"]\n  17 -> 22 [size =\"6562816\"]\n  17 -> 26 [size =\"6562816\"]\n  17 -> 27 [size =\"6562816\"]\n  17 -> 28 [size =\"6562816\"]\n  17 -> 29 [size =\"6562816\"]\n  17 -> 31 [size =\"6562816\"]\n  17 -> 32 [size =\"6562816\"]\n  17 -> 33 [size =\"6562816\"]\n  17 -> 34 [size =\"6562816\"]\n  18 [size=\"161430187\", alpha=\"0.15\", expect_size=\"48429056\"] \n  18 -> 37 [size =\"48429056\"]\n  18 -> 38 [size =\"48429056\"]\n  18 -> 43 [size =\"48429056\"]\n  18 -> 46 [size =\"48429056\"]\n  18 -> 48 [size =\"48429056\"]\n  18 -> 49 [size =\"48429056\"]\n  19 [size=\"26081280\", alpha=\"0.09\", expect_size=\"7824384\"] \n  19 -> 38 [size =\"7824384\"]\n  19 -> 43 [size =\"7824384\"]\n  19 -> 44 [size =\"7824384\"]\n  19 -> 45 [size =\"7824384\"]\n  19 -> 49 [size =\"7824384\"]\n  20 [size=\"49039360\", alpha=\"0.15\", expect_size=\"14711808\"] \n  20 -> 39 [size =\"14711808\"]\n  20 -> 41 [size =\"14711808\"]\n  20 -> 45 [size =\"14711808\"]\n  20 -> 45 [size =\"14711808\"]\n  20 -> 47 [size =\"14711808\"]\n  20 -> 48 [size =\"14711808\"]\n  20 -> 49 [size =\"14711808\"]\n  21 [size=\"31286613\", alpha=\"0.09\", expect_size=\"9385984\"] \n  21 -> 38 [size =\"9385984\"]\n  21 -> 39 [size =\"9385984\"]\n  21 -> 41 [size =\"9385984\"]\n  21 -> 49 [size =\"9385984\"]\n  22 [size=\"72495787\", alpha=\"0.08\", expect_size=\"21748736\"] \n  22 -> 39 [size =\"21748736\"]\n  22 -> 40 [size =\"21748736\"]\n  22 -> 44 [size =\"21748736\"]\n  22 -> 46 [size =\"21748736\"]\n  23 [size=\"26692267\", alpha=\"0.17\", expect_size=\"8007680\"] \n  23 -> 38 [size =\"8007680\"]\n  23 -> 44 [size =\"8007680\"]\n  23 -> 44 [size =\"8007680\"]\n  23 -> 46 [size =\"8007680\"]\n  23 -> 49 [size =\"8007680\"]\n  24 [size=\"21804373\", alpha=\"0.18\", expect_size=\"6541312\"] \n  24 -> 37 [size =\"6541312\"]\n  24 -> 47 [size =\"6541312\"]\n  24 -> 49 [size =\"6541312\"]\n  25 [size=\"40389973\", alpha=\"0.13\", expect_size=\"12116992\"] \n  25 -> 38 [size =\"12116992\"]\n  25 -> 39 [size =\"12116992\"]\n  25 -> 44 [size =\"12116992\"]\n  25 -> 48 [size =\"12116992\"]\n  26 [size=\"101321387\", alpha=\"0.03\", expect_size=\"30396416\"] \n  26 -> 37 [size =\"30396416\"]\n  27 [size=\"26651307\", alpha=\"0.03\", expect_size=\"7995392\"] \n  27 -> 37 [size =\"7995392\"]\n  27 -> 38 [size =\"7995392\"]\n  27 -> 39 [size =\"7995392\"]\n  27 -> 41 [size =\"7995392\"]\n  27 -> 44 [size =\"7995392\"]\n  27 -> 47 [size =\"7995392\"]\n  27 -> 48 [size =\"7995392\"]\n  27 -> 49 [size =\"7995392\"]\n  28 [size=\"84439040\", alpha=\"0.09\", expect_size=\"25331712\"] \n  28 -> 36 [size =\"25331712\"]\n  28 -> 38 [size =\"25331712\"]\n  28 -> 39 [size =\"25331712\"]\n  28 -> 41 [size =\"25331712\"]\n  28 -> 45 [size =\"25331712\"]\n  28 -> 49 [size =\"25331712\"]\n  29 [size=\"48448853\", alpha=\"0.13\", expect_size=\"14534656\"] \n  29 -> 39 [size =\"14534656\"]\n  29 -> 41 [size =\"14534656\"]\n  29 -> 44 [size =\"14534656\"]\n  29 -> 46 [size =\"14534656\"]\n  29 -> 48 [size =\"14534656\"]\n  30 [size=\"119200427\", alpha=\"0.05\", expect_size=\"35760128\"] \n  30 -> 39 [size =\"35760128\"]\n  30 -> 44 [size =\"35760128\"]\n  30 -> 46 [size =\"35760128\"]\n  30 -> 48 [size =\"35760128\"]\n  30 -> 49 [size =\"35760128\"]\n  31 [size=\"81920000\", alpha=\"0.01\", expect_size=\"24576000\"] \n  31 -> 39 [size =\"24576000\"]\n  31 -> 44 [size =\"24576000\"]\n  31 -> 49 [size =\"24576000\"]\n  32 [size=\"156190720\", alpha=\"0.14\", expect_size=\"46857216\"] \n  32 -> 37 [size =\"46857216\"]\n  32 -> 38 [size =\"46857216\"]\n  32 -> 39 [size =\"46857216\"]\n  32 -> 41 [size =\"46857216\"]\n  32 -> 48 [size =\"46857216\"]\n  32 -> 49 [size =\"46857216\"]\n  33 [size=\"60416000\", alpha=\"0.06\", expect_size=\"18124800\"] \n  33 -> 38 [size =\"18124800\"]\n  33 -> 39 [size =\"18124800\"]\n  33 -> 42 [size =\"18124800\"]\n  33 -> 47 [size =\"18124800\"]\n  33 -> 49 [size =\"18124800\"]\n  33 -> 50 [size =\"18124800\"]\n  34 [size=\"34539520\", alpha=\"0.03\", expect_size=\"10361856\"] \n  34 -> 37 [size =\"10361856\"]\n  34 -> 39 [size =\"10361856\"]\n  34 -> 44 [size =\"10361856\"]\n  34 -> 47 [size =\"10361856\"]\n  34 -> 48 [size =\"10361856\"]\n  35 [size=\"21125120\", alpha=\"0.06\", expect_size=\"6337536\"] \n  35 -> 38 [size =\"6337536\"]\n  36 [size=\"120081067\", alpha=\"0.04\", expect_size=\"36024320\"] \n  37 [size=\"143479467\", alpha=\"0.03\", expect_size=\"43043840\"] \n  38 [size=\"170823680\", alpha=\"0.00\", expect_size=\"51247104\"] \n  39 [size=\"83534507\", alpha=\"0.19\", expect_size=\"25060352\"] \n  40 [size=\"25067520\", alpha=\"0.01\", expect_size=\"7520256\"] \n  41 [size=\"64781653\", alpha=\"0.05\", expect_size=\"19434496\"] \n  42 [size=\"72345600\", alpha=\"0.16\", expect_size=\"21703680\"] \n  43 [size=\"22572373\", alpha=\"0.08\", expect_size=\"6771712\"] \n  44 [size=\"68706987\", alpha=\"0.01\", expect_size=\"20612096\"] \n  45 [size=\"88572587\", alpha=\"0.16\", expect_size=\"26571776\"] \n  46 [size=\"135963307\", alpha=\"0.03\", expect_size=\"40788992\"] \n  47 [size=\"169932800\", alpha=\"0.10\", expect_size=\"50979840\"] \n  48 [size=\"37601280\", alpha=\"0.06\", expect_size=\"11280384\"] \n  49 [size=\"40212480\", alpha=\"0.06\", expect_size=\"12063744\"] \n  50 [size=\"29081600\", alpha=\"0.19\", expect_size=\"8724480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.349.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26199040\", alpha=\"0.03\", expect_size=\"10479616\"] \n  1 -> 6 [size =\"10479616\"]\n  2 [size=\"36879360\", alpha=\"0.11\", expect_size=\"14751744\"] \n  2 -> 4 [size =\"14751744\"]\n  2 -> 5 [size =\"14751744\"]\n  2 -> 6 [size =\"14751744\"]\n  3 [size=\"107258880\", alpha=\"0.15\", expect_size=\"42903552\"] \n  3 -> 5 [size =\"42903552\"]\n  4 [size=\"32791040\", alpha=\"0.07\", expect_size=\"13116416\"] \n  4 -> 8 [size =\"13116416\"]\n  5 [size=\"72209920\", alpha=\"0.12\", expect_size=\"28883968\"] \n  5 -> 7 [size =\"28883968\"]\n  6 [size=\"26032640\", alpha=\"0.13\", expect_size=\"10413056\"] \n  6 -> 7 [size =\"10413056\"]\n  7 [size=\"54776320\", alpha=\"0.18\", expect_size=\"21910528\"] \n  7 -> 10 [size =\"21910528\"]\n  8 [size=\"122129920\", alpha=\"0.03\", expect_size=\"48851968\"] \n  8 -> 9 [size =\"48851968\"]\n  9 [size=\"15984640\", alpha=\"0.16\", expect_size=\"6393856\"] \n  9 -> 11 [size =\"6393856\"]\n  10 [size=\"66078720\", alpha=\"0.15\", expect_size=\"26431488\"] \n  10 -> 11 [size =\"26431488\"]\n  10 -> 12 [size =\"26431488\"]\n  11 [size=\"116997120\", alpha=\"0.00\", expect_size=\"46798848\"] \n  11 -> 13 [size =\"46798848\"]\n  11 -> 15 [size =\"46798848\"]\n  12 [size=\"14197760\", alpha=\"0.08\", expect_size=\"5679104\"] \n  12 -> 13 [size =\"5679104\"]\n  12 -> 14 [size =\"5679104\"]\n  12 -> 15 [size =\"5679104\"]\n  13 [size=\"80097280\", alpha=\"0.05\", expect_size=\"32038912\"] \n  13 -> 17 [size =\"32038912\"]\n  13 -> 18 [size =\"32038912\"]\n  14 [size=\"53455360\", alpha=\"0.19\", expect_size=\"21382144\"] \n  14 -> 16 [size =\"21382144\"]\n  15 [size=\"93867520\", alpha=\"0.15\", expect_size=\"37547008\"] \n  15 -> 17 [size =\"37547008\"]\n  16 [size=\"45145600\", alpha=\"0.08\", expect_size=\"18058240\"] \n  16 -> 19 [size =\"18058240\"]\n  17 [size=\"118947840\", alpha=\"0.16\", expect_size=\"47579136\"] \n  17 -> 20 [size =\"47579136\"]\n  18 [size=\"107970560\", alpha=\"0.02\", expect_size=\"43188224\"] \n  18 -> 20 [size =\"43188224\"]\n  19 [size=\"127132160\", alpha=\"0.10\", expect_size=\"50852864\"] \n  19 -> 21 [size =\"50852864\"]\n  19 -> 22 [size =\"50852864\"]\n  20 [size=\"103319040\", alpha=\"0.01\", expect_size=\"41327616\"] \n  20 -> 21 [size =\"41327616\"]\n  21 [size=\"75417600\", alpha=\"0.15\", expect_size=\"30167040\"] \n  21 -> 24 [size =\"30167040\"]\n  21 -> 25 [size =\"30167040\"]\n  22 [size=\"77253120\", alpha=\"0.12\", expect_size=\"30901248\"] \n  22 -> 23 [size =\"30901248\"]\n  22 -> 24 [size =\"30901248\"]\n  23 [size=\"122411520\", alpha=\"0.05\", expect_size=\"48964608\"] \n  23 -> 26 [size =\"48964608\"]\n  23 -> 27 [size =\"48964608\"]\n  24 [size=\"34145280\", alpha=\"0.02\", expect_size=\"13658112\"] \n  25 [size=\"30868480\", alpha=\"0.09\", expect_size=\"12347392\"] \n  25 -> 27 [size =\"12347392\"]\n  26 [size=\"116879360\", alpha=\"0.18\", expect_size=\"46751744\"] \n  26 -> 30 [size =\"46751744\"]\n  27 [size=\"48161280\", alpha=\"0.14\", expect_size=\"19264512\"] \n  27 -> 28 [size =\"19264512\"]\n  27 -> 29 [size =\"19264512\"]\n  27 -> 30 [size =\"19264512\"]\n  28 [size=\"24588800\", alpha=\"0.09\", expect_size=\"9835520\"] \n  28 -> 31 [size =\"9835520\"]\n  28 -> 33 [size =\"9835520\"]\n  29 [size=\"38671360\", alpha=\"0.04\", expect_size=\"15468544\"] \n  29 -> 32 [size =\"15468544\"]\n  29 -> 33 [size =\"15468544\"]\n  30 [size=\"96652800\", alpha=\"0.08\", expect_size=\"38661120\"] \n  30 -> 31 [size =\"38661120\"]\n  31 [size=\"102927360\", alpha=\"0.09\", expect_size=\"41170944\"] \n  31 -> 34 [size =\"41170944\"]\n  31 -> 35 [size =\"41170944\"]\n  32 [size=\"70589440\", alpha=\"0.11\", expect_size=\"28235776\"] \n  33 [size=\"23413760\", alpha=\"0.04\", expect_size=\"9365504\"] \n  33 -> 34 [size =\"9365504\"]\n  34 [size=\"55554560\", alpha=\"0.04\", expect_size=\"22221824\"] \n  34 -> 36 [size =\"22221824\"]\n  34 -> 37 [size =\"22221824\"]\n  35 [size=\"68730880\", alpha=\"0.18\", expect_size=\"27492352\"] \n  35 -> 36 [size =\"27492352\"]\n  36 [size=\"122045440\", alpha=\"0.17\", expect_size=\"48818176\"] \n  36 -> 38 [size =\"48818176\"]\n  36 -> 39 [size =\"48818176\"]\n  37 [size=\"110458880\", alpha=\"0.14\", expect_size=\"44183552\"] \n  37 -> 38 [size =\"44183552\"]\n  37 -> 39 [size =\"44183552\"]\n  38 [size=\"75645440\", alpha=\"0.07\", expect_size=\"30258176\"] \n  38 -> 40 [size =\"30258176\"]\n  38 -> 41 [size =\"30258176\"]\n  39 [size=\"126627840\", alpha=\"0.20\", expect_size=\"50651136\"] \n  39 -> 41 [size =\"50651136\"]\n  39 -> 42 [size =\"50651136\"]\n  40 [size=\"30353920\", alpha=\"0.08\", expect_size=\"12141568\"] \n  40 -> 43 [size =\"12141568\"]\n  40 -> 44 [size =\"12141568\"]\n  41 [size=\"75729920\", alpha=\"0.06\", expect_size=\"30291968\"] \n  41 -> 44 [size =\"30291968\"]\n  42 [size=\"130716160\", alpha=\"0.15\", expect_size=\"52286464\"] \n  42 -> 43 [size =\"52286464\"]\n  43 [size=\"78438400\", alpha=\"0.03\", expect_size=\"31375360\"] \n  43 -> 45 [size =\"31375360\"]\n  44 [size=\"103854080\", alpha=\"0.14\", expect_size=\"41541632\"] \n  44 -> 45 [size =\"41541632\"]\n  44 -> 46 [size =\"41541632\"]\n  45 [size=\"129346560\", alpha=\"0.09\", expect_size=\"51738624\"] \n  45 -> 48 [size =\"51738624\"]\n  45 -> 49 [size =\"51738624\"]\n  46 [size=\"117713920\", alpha=\"0.01\", expect_size=\"47085568\"] \n  46 -> 47 [size =\"47085568\"]\n  46 -> 48 [size =\"47085568\"]\n  47 [size=\"100997120\", alpha=\"0.19\", expect_size=\"40398848\"] \n  47 -> 50 [size =\"40398848\"]\n  48 [size=\"67069440\", alpha=\"0.18\", expect_size=\"26827776\"] \n  49 [size=\"110794240\", alpha=\"0.03\", expect_size=\"44317696\"] \n  50 [size=\"110274560\", alpha=\"0.01\", expect_size=\"44109824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129840640\", alpha=\"0.19\", expect_size=\"51936256\"] \n  1 -> 4 [size =\"51936256\"]\n  1 -> 5 [size =\"51936256\"]\n  2 [size=\"51179520\", alpha=\"0.05\", expect_size=\"20471808\"] \n  2 -> 5 [size =\"20471808\"]\n  3 [size=\"60328960\", alpha=\"0.18\", expect_size=\"24131584\"] \n  3 -> 4 [size =\"24131584\"]\n  4 [size=\"97500160\", alpha=\"0.02\", expect_size=\"39000064\"] \n  4 -> 6 [size =\"39000064\"]\n  4 -> 7 [size =\"39000064\"]\n  5 [size=\"96990720\", alpha=\"0.07\", expect_size=\"38796288\"] \n  5 -> 7 [size =\"38796288\"]\n  6 [size=\"26938880\", alpha=\"0.03\", expect_size=\"10775552\"] \n  6 -> 9 [size =\"10775552\"]\n  7 [size=\"15516160\", alpha=\"0.00\", expect_size=\"6206464\"] \n  7 -> 8 [size =\"6206464\"]\n  8 [size=\"85470720\", alpha=\"0.02\", expect_size=\"34188288\"] \n  8 -> 10 [size =\"34188288\"]\n  8 -> 11 [size =\"34188288\"]\n  8 -> 12 [size =\"34188288\"]\n  9 [size=\"73666560\", alpha=\"0.00\", expect_size=\"29466624\"] \n  9 -> 11 [size =\"29466624\"]\n  10 [size=\"25367040\", alpha=\"0.13\", expect_size=\"10146816\"] \n  10 -> 14 [size =\"10146816\"]\n  11 [size=\"124119040\", alpha=\"0.05\", expect_size=\"49647616\"] \n  11 -> 13 [size =\"49647616\"]\n  11 -> 14 [size =\"49647616\"]\n  11 -> 15 [size =\"49647616\"]\n  12 [size=\"119201280\", alpha=\"0.08\", expect_size=\"47680512\"] \n  12 -> 13 [size =\"47680512\"]\n  13 [size=\"32407040\", alpha=\"0.13\", expect_size=\"12962816\"] \n  13 -> 18 [size =\"12962816\"]\n  14 [size=\"22850560\", alpha=\"0.04\", expect_size=\"9140224\"] \n  14 -> 16 [size =\"9140224\"]\n  14 -> 17 [size =\"9140224\"]\n  14 -> 18 [size =\"9140224\"]\n  15 [size=\"31984640\", alpha=\"0.18\", expect_size=\"12793856\"] \n  16 [size=\"71411200\", alpha=\"0.01\", expect_size=\"28564480\"] \n  16 -> 19 [size =\"28564480\"]\n  16 -> 20 [size =\"28564480\"]\n  16 -> 21 [size =\"28564480\"]\n  17 [size=\"90206720\", alpha=\"0.00\", expect_size=\"36082688\"] \n  18 [size=\"92810240\", alpha=\"0.05\", expect_size=\"37124096\"] \n  18 -> 20 [size =\"37124096\"]\n  18 -> 21 [size =\"37124096\"]\n  19 [size=\"104960000\", alpha=\"0.19\", expect_size=\"41984000\"] \n  19 -> 22 [size =\"41984000\"]\n  19 -> 23 [size =\"41984000\"]\n  19 -> 24 [size =\"41984000\"]\n  20 [size=\"105344000\", alpha=\"0.07\", expect_size=\"42137600\"] \n  20 -> 22 [size =\"42137600\"]\n  21 [size=\"61378560\", alpha=\"0.14\", expect_size=\"24551424\"] \n  21 -> 23 [size =\"24551424\"]\n  21 -> 24 [size =\"24551424\"]\n  22 [size=\"88424960\", alpha=\"0.08\", expect_size=\"35369984\"] \n  22 -> 25 [size =\"35369984\"]\n  22 -> 27 [size =\"35369984\"]\n  23 [size=\"18631680\", alpha=\"0.10\", expect_size=\"7452672\"] \n  23 -> 26 [size =\"7452672\"]\n  24 [size=\"95308800\", alpha=\"0.06\", expect_size=\"38123520\"] \n  24 -> 25 [size =\"38123520\"]\n  24 -> 26 [size =\"38123520\"]\n  25 [size=\"121840640\", alpha=\"0.16\", expect_size=\"48736256\"] \n  25 -> 29 [size =\"48736256\"]\n  26 [size=\"108858880\", alpha=\"0.09\", expect_size=\"43543552\"] \n  26 -> 28 [size =\"43543552\"]\n  27 [size=\"115650560\", alpha=\"0.02\", expect_size=\"46260224\"] \n  27 -> 29 [size =\"46260224\"]\n  28 [size=\"116997120\", alpha=\"0.07\", expect_size=\"46798848\"] \n  28 -> 30 [size =\"46798848\"]\n  29 [size=\"28515840\", alpha=\"0.02\", expect_size=\"11406336\"] \n  29 -> 31 [size =\"11406336\"]\n  30 [size=\"24192000\", alpha=\"0.00\", expect_size=\"9676800\"] \n  30 -> 33 [size =\"9676800\"]\n  31 [size=\"64120320\", alpha=\"0.17\", expect_size=\"25648128\"] \n  31 -> 32 [size =\"25648128\"]\n  31 -> 33 [size =\"25648128\"]\n  31 -> 34 [size =\"25648128\"]\n  32 [size=\"29102080\", alpha=\"0.11\", expect_size=\"11640832\"] \n  33 [size=\"75179520\", alpha=\"0.09\", expect_size=\"30071808\"] \n  34 [size=\"13642240\", alpha=\"0.08\", expect_size=\"5456896\"] \n  34 -> 35 [size =\"5456896\"]\n  34 -> 36 [size =\"5456896\"]\n  35 [size=\"46853120\", alpha=\"0.11\", expect_size=\"18741248\"] \n  35 -> 38 [size =\"18741248\"]\n  35 -> 39 [size =\"18741248\"]\n  36 [size=\"22768640\", alpha=\"0.03\", expect_size=\"9107456\"] \n  36 -> 37 [size =\"9107456\"]\n  36 -> 38 [size =\"9107456\"]\n  37 [size=\"73182720\", alpha=\"0.09\", expect_size=\"29273088\"] \n  37 -> 40 [size =\"29273088\"]\n  37 -> 41 [size =\"29273088\"]\n  38 [size=\"82539520\", alpha=\"0.08\", expect_size=\"33015808\"] \n  38 -> 42 [size =\"33015808\"]\n  39 [size=\"123210240\", alpha=\"0.02\", expect_size=\"49284096\"] \n  39 -> 40 [size =\"49284096\"]\n  39 -> 42 [size =\"49284096\"]\n  40 [size=\"19822080\", alpha=\"0.13\", expect_size=\"7928832\"] \n  40 -> 43 [size =\"7928832\"]\n  40 -> 45 [size =\"7928832\"]\n  41 [size=\"20567040\", alpha=\"0.11\", expect_size=\"8226816\"] \n  41 -> 43 [size =\"8226816\"]\n  41 -> 44 [size =\"8226816\"]\n  42 [size=\"118492160\", alpha=\"0.02\", expect_size=\"47396864\"] \n  42 -> 44 [size =\"47396864\"]\n  43 [size=\"65802240\", alpha=\"0.15\", expect_size=\"26320896\"] \n  44 [size=\"117724160\", alpha=\"0.01\", expect_size=\"47089664\"] \n  44 -> 46 [size =\"47089664\"]\n  45 [size=\"48074240\", alpha=\"0.05\", expect_size=\"19229696\"] \n  45 -> 47 [size =\"19229696\"]\n  45 -> 48 [size =\"19229696\"]\n  46 [size=\"111656960\", alpha=\"0.06\", expect_size=\"44662784\"] \n  47 [size=\"130851840\", alpha=\"0.04\", expect_size=\"52340736\"] \n  47 -> 49 [size =\"52340736\"]\n  48 [size=\"64793600\", alpha=\"0.20\", expect_size=\"25917440\"] \n  48 -> 50 [size =\"25917440\"]\n  49 [size=\"111152640\", alpha=\"0.18\", expect_size=\"44461056\"] \n  50 [size=\"125852160\", alpha=\"0.19\", expect_size=\"50340864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.350.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"152029867\", alpha=\"0.06\", expect_size=\"45608960\"] \n  1 -> 9 [size =\"45608960\"]\n  1 -> 10 [size =\"45608960\"]\n  1 -> 11 [size =\"45608960\"]\n  1 -> 12 [size =\"45608960\"]\n  1 -> 13 [size =\"45608960\"]\n  2 [size=\"158354773\", alpha=\"0.07\", expect_size=\"47506432\"] \n  2 -> 9 [size =\"47506432\"]\n  2 -> 11 [size =\"47506432\"]\n  2 -> 12 [size =\"47506432\"]\n  2 -> 12 [size =\"47506432\"]\n  3 [size=\"109407573\", alpha=\"0.10\", expect_size=\"32822272\"] \n  3 -> 9 [size =\"32822272\"]\n  3 -> 10 [size =\"32822272\"]\n  3 -> 11 [size =\"32822272\"]\n  4 [size=\"88961707\", alpha=\"0.16\", expect_size=\"26688512\"] \n  5 [size=\"108383573\", alpha=\"0.13\", expect_size=\"32515072\"] \n  5 -> 8 [size =\"32515072\"]\n  5 -> 11 [size =\"32515072\"]\n  6 [size=\"154767360\", alpha=\"0.07\", expect_size=\"46430208\"] \n  6 -> 10 [size =\"46430208\"]\n  6 -> 13 [size =\"46430208\"]\n  7 [size=\"93105493\", alpha=\"0.01\", expect_size=\"27931648\"] \n  7 -> 10 [size =\"27931648\"]\n  7 -> 11 [size =\"27931648\"]\n  7 -> 13 [size =\"27931648\"]\n  8 [size=\"159870293\", alpha=\"0.13\", expect_size=\"47961088\"] \n  8 -> 14 [size =\"47961088\"]\n  8 -> 15 [size =\"47961088\"]\n  8 -> 16 [size =\"47961088\"]\n  9 [size=\"64822613\", alpha=\"0.06\", expect_size=\"19446784\"] \n  9 -> 16 [size =\"19446784\"]\n  9 -> 17 [size =\"19446784\"]\n  9 -> 18 [size =\"19446784\"]\n  9 -> 19 [size =\"19446784\"]\n  10 [size=\"82742613\", alpha=\"0.19\", expect_size=\"24822784\"] \n  10 -> 14 [size =\"24822784\"]\n  10 -> 15 [size =\"24822784\"]\n  10 -> 18 [size =\"24822784\"]\n  10 -> 19 [size =\"24822784\"]\n  11 [size=\"24657920\", alpha=\"0.17\", expect_size=\"7397376\"] \n  11 -> 14 [size =\"7397376\"]\n  11 -> 15 [size =\"7397376\"]\n  12 [size=\"72287573\", alpha=\"0.02\", expect_size=\"21686272\"] \n  12 -> 14 [size =\"21686272\"]\n  12 -> 15 [size =\"21686272\"]\n  12 -> 16 [size =\"21686272\"]\n  12 -> 17 [size =\"21686272\"]\n  13 [size=\"129283413\", alpha=\"0.11\", expect_size=\"38785024\"] \n  13 -> 16 [size =\"38785024\"]\n  13 -> 18 [size =\"38785024\"]\n  14 [size=\"51141973\", alpha=\"0.13\", expect_size=\"15342592\"] \n  14 -> 21 [size =\"15342592\"]\n  14 -> 23 [size =\"15342592\"]\n  15 [size=\"18807467\", alpha=\"0.07\", expect_size=\"5642240\"] \n  15 -> 21 [size =\"5642240\"]\n  15 -> 23 [size =\"5642240\"]\n  15 -> 24 [size =\"5642240\"]\n  15 -> 25 [size =\"5642240\"]\n  16 [size=\"123330560\", alpha=\"0.11\", expect_size=\"36999168\"] \n  16 -> 24 [size =\"36999168\"]\n  16 -> 25 [size =\"36999168\"]\n  17 [size=\"18626560\", alpha=\"0.05\", expect_size=\"5587968\"] \n  17 -> 20 [size =\"5587968\"]\n  17 -> 24 [size =\"5587968\"]\n  18 [size=\"28757333\", alpha=\"0.13\", expect_size=\"8627200\"] \n  18 -> 20 [size =\"8627200\"]\n  18 -> 21 [size =\"8627200\"]\n  18 -> 24 [size =\"8627200\"]\n  18 -> 26 [size =\"8627200\"]\n  19 [size=\"128621227\", alpha=\"0.10\", expect_size=\"38586368\"] \n  19 -> 21 [size =\"38586368\"]\n  19 -> 22 [size =\"38586368\"]\n  19 -> 25 [size =\"38586368\"]\n  20 [size=\"20739413\", alpha=\"0.08\", expect_size=\"6221824\"] \n  20 -> 27 [size =\"6221824\"]\n  20 -> 30 [size =\"6221824\"]\n  20 -> 31 [size =\"6221824\"]\n  21 [size=\"173400747\", alpha=\"0.03\", expect_size=\"52020224\"] \n  21 -> 27 [size =\"52020224\"]\n  21 -> 28 [size =\"52020224\"]\n  21 -> 29 [size =\"52020224\"]\n  21 -> 30 [size =\"52020224\"]\n  22 [size=\"147875840\", alpha=\"0.16\", expect_size=\"44362752\"] \n  22 -> 27 [size =\"44362752\"]\n  22 -> 29 [size =\"44362752\"]\n  23 [size=\"160576853\", alpha=\"0.00\", expect_size=\"48173056\"] \n  23 -> 27 [size =\"48173056\"]\n  24 [size=\"90961920\", alpha=\"0.14\", expect_size=\"27288576\"] \n  24 -> 27 [size =\"27288576\"]\n  24 -> 29 [size =\"27288576\"]\n  25 [size=\"34095787\", alpha=\"0.19\", expect_size=\"10228736\"] \n  25 -> 29 [size =\"10228736\"]\n  25 -> 29 [size =\"10228736\"]\n  25 -> 30 [size =\"10228736\"]\n  26 [size=\"91296427\", alpha=\"0.02\", expect_size=\"27388928\"] \n  26 -> 30 [size =\"27388928\"]\n  27 [size=\"17503573\", alpha=\"0.15\", expect_size=\"5251072\"] \n  27 -> 32 [size =\"5251072\"]\n  27 -> 34 [size =\"5251072\"]\n  27 -> 35 [size =\"5251072\"]\n  28 [size=\"53230933\", alpha=\"0.05\", expect_size=\"15969280\"] \n  28 -> 32 [size =\"15969280\"]\n  28 -> 33 [size =\"15969280\"]\n  28 -> 34 [size =\"15969280\"]\n  28 -> 36 [size =\"15969280\"]\n  29 [size=\"152941227\", alpha=\"0.02\", expect_size=\"45882368\"] \n  30 [size=\"71290880\", alpha=\"0.06\", expect_size=\"21387264\"] \n  30 -> 33 [size =\"21387264\"]\n  30 -> 34 [size =\"21387264\"]\n  30 -> 36 [size =\"21387264\"]\n  31 [size=\"130870613\", alpha=\"0.12\", expect_size=\"39261184\"] \n  31 -> 32 [size =\"39261184\"]\n  32 [size=\"151664640\", alpha=\"0.05\", expect_size=\"45499392\"] \n  32 -> 37 [size =\"45499392\"]\n  32 -> 38 [size =\"45499392\"]\n  32 -> 40 [size =\"45499392\"]\n  32 -> 43 [size =\"45499392\"]\n  33 [size=\"117261653\", alpha=\"0.12\", expect_size=\"35178496\"] \n  33 -> 37 [size =\"35178496\"]\n  33 -> 38 [size =\"35178496\"]\n  33 -> 39 [size =\"35178496\"]\n  33 -> 40 [size =\"35178496\"]\n  34 [size=\"119603200\", alpha=\"0.03\", expect_size=\"35880960\"] \n  34 -> 37 [size =\"35880960\"]\n  34 -> 41 [size =\"35880960\"]\n  34 -> 42 [size =\"35880960\"]\n  34 -> 43 [size =\"35880960\"]\n  35 [size=\"72884907\", alpha=\"0.14\", expect_size=\"21865472\"] \n  35 -> 40 [size =\"21865472\"]\n  35 -> 41 [size =\"21865472\"]\n  35 -> 42 [size =\"21865472\"]\n  35 -> 43 [size =\"21865472\"]\n  36 [size=\"68017493\", alpha=\"0.19\", expect_size=\"20405248\"] \n  36 -> 39 [size =\"20405248\"]\n  36 -> 41 [size =\"20405248\"]\n  36 -> 42 [size =\"20405248\"]\n  36 -> 43 [size =\"20405248\"]\n  37 [size=\"85002240\", alpha=\"0.04\", expect_size=\"25500672\"] \n  37 -> 45 [size =\"25500672\"]\n  37 -> 48 [size =\"25500672\"]\n  37 -> 50 [size =\"25500672\"]\n  38 [size=\"42192213\", alpha=\"0.11\", expect_size=\"12657664\"] \n  38 -> 46 [size =\"12657664\"]\n  38 -> 48 [size =\"12657664\"]\n  39 [size=\"81978027\", alpha=\"0.11\", expect_size=\"24593408\"] \n  39 -> 45 [size =\"24593408\"]\n  39 -> 47 [size =\"24593408\"]\n  39 -> 50 [size =\"24593408\"]\n  40 [size=\"94423040\", alpha=\"0.12\", expect_size=\"28326912\"] \n  40 -> 44 [size =\"28326912\"]\n  40 -> 45 [size =\"28326912\"]\n  41 [size=\"144803840\", alpha=\"0.13\", expect_size=\"43441152\"] \n  41 -> 45 [size =\"43441152\"]\n  42 [size=\"83008853\", alpha=\"0.10\", expect_size=\"24902656\"] \n  42 -> 50 [size =\"24902656\"]\n  43 [size=\"121139200\", alpha=\"0.06\", expect_size=\"36341760\"] \n  43 -> 48 [size =\"36341760\"]\n  43 -> 49 [size =\"36341760\"]\n  43 -> 50 [size =\"36341760\"]\n  44 [size=\"56432640\", alpha=\"0.11\", expect_size=\"16929792\"] \n  45 [size=\"79841280\", alpha=\"0.18\", expect_size=\"23952384\"] \n  46 [size=\"35416747\", alpha=\"0.14\", expect_size=\"10625024\"] \n  47 [size=\"29013333\", alpha=\"0.11\", expect_size=\"8704000\"] \n  48 [size=\"61781333\", alpha=\"0.12\", expect_size=\"18534400\"] \n  49 [size=\"145005227\", alpha=\"0.10\", expect_size=\"43501568\"] \n  50 [size=\"75260587\", alpha=\"0.15\", expect_size=\"22578176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.351.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24883200\", alpha=\"0.20\", expect_size=\"7464960\"] \n  1 -> 46 [size =\"7464960\"]\n  1 -> 50 [size =\"7464960\"]\n  2 [size=\"173916160\", alpha=\"0.14\", expect_size=\"52174848\"] \n  2 -> 39 [size =\"52174848\"]\n  2 -> 46 [size =\"52174848\"]\n  3 [size=\"91228160\", alpha=\"0.16\", expect_size=\"27368448\"] \n  3 -> 42 [size =\"27368448\"]\n  3 -> 43 [size =\"27368448\"]\n  3 -> 47 [size =\"27368448\"]\n  3 -> 49 [size =\"27368448\"]\n  3 -> 50 [size =\"27368448\"]\n  4 [size=\"52459520\", alpha=\"0.19\", expect_size=\"15737856\"] \n  4 -> 41 [size =\"15737856\"]\n  4 -> 47 [size =\"15737856\"]\n  4 -> 50 [size =\"15737856\"]\n  5 [size=\"107322027\", alpha=\"0.07\", expect_size=\"32196608\"] \n  5 -> 42 [size =\"32196608\"]\n  5 -> 47 [size =\"32196608\"]\n  6 [size=\"172752213\", alpha=\"0.02\", expect_size=\"51825664\"] \n  6 -> 43 [size =\"51825664\"]\n  6 -> 44 [size =\"51825664\"]\n  6 -> 47 [size =\"51825664\"]\n  6 -> 48 [size =\"51825664\"]\n  6 -> 49 [size =\"51825664\"]\n  6 -> 50 [size =\"51825664\"]\n  7 [size=\"131928747\", alpha=\"0.11\", expect_size=\"39578624\"] \n  7 -> 40 [size =\"39578624\"]\n  7 -> 42 [size =\"39578624\"]\n  7 -> 43 [size =\"39578624\"]\n  7 -> 47 [size =\"39578624\"]\n  7 -> 48 [size =\"39578624\"]\n  8 [size=\"36502187\", alpha=\"0.16\", expect_size=\"10950656\"] \n  8 -> 42 [size =\"10950656\"]\n  8 -> 47 [size =\"10950656\"]\n  8 -> 49 [size =\"10950656\"]\n  9 [size=\"160174080\", alpha=\"0.05\", expect_size=\"48052224\"] \n  9 -> 39 [size =\"48052224\"]\n  9 -> 47 [size =\"48052224\"]\n  9 -> 49 [size =\"48052224\"]\n  10 [size=\"102570667\", alpha=\"0.01\", expect_size=\"30771200\"] \n  10 -> 39 [size =\"30771200\"]\n  11 [size=\"59023360\", alpha=\"0.07\", expect_size=\"17707008\"] \n  11 -> 39 [size =\"17707008\"]\n  12 [size=\"56415573\", alpha=\"0.05\", expect_size=\"16924672\"] \n  12 -> 42 [size =\"16924672\"]\n  12 -> 48 [size =\"16924672\"]\n  12 -> 49 [size =\"16924672\"]\n  12 -> 50 [size =\"16924672\"]\n  13 [size=\"170035200\", alpha=\"0.06\", expect_size=\"51010560\"] \n  13 -> 39 [size =\"51010560\"]\n  13 -> 40 [size =\"51010560\"]\n  13 -> 43 [size =\"51010560\"]\n  13 -> 47 [size =\"51010560\"]\n  13 -> 49 [size =\"51010560\"]\n  14 [size=\"142291627\", alpha=\"0.07\", expect_size=\"42687488\"] \n  14 -> 39 [size =\"42687488\"]\n  14 -> 40 [size =\"42687488\"]\n  14 -> 43 [size =\"42687488\"]\n  14 -> 47 [size =\"42687488\"]\n  14 -> 48 [size =\"42687488\"]\n  14 -> 50 [size =\"42687488\"]\n  15 [size=\"137260373\", alpha=\"0.05\", expect_size=\"41178112\"] \n  15 -> 40 [size =\"41178112\"]\n  15 -> 40 [size =\"41178112\"]\n  15 -> 42 [size =\"41178112\"]\n  15 -> 46 [size =\"41178112\"]\n  15 -> 47 [size =\"41178112\"]\n  15 -> 49 [size =\"41178112\"]\n  16 [size=\"37976747\", alpha=\"0.14\", expect_size=\"11393024\"] \n  16 -> 40 [size =\"11393024\"]\n  16 -> 42 [size =\"11393024\"]\n  16 -> 46 [size =\"11393024\"]\n  16 -> 50 [size =\"11393024\"]\n  17 [size=\"56989013\", alpha=\"0.01\", expect_size=\"17096704\"] \n  18 [size=\"147165867\", alpha=\"0.13\", expect_size=\"44149760\"] \n  18 -> 40 [size =\"44149760\"]\n  18 -> 47 [size =\"44149760\"]\n  18 -> 50 [size =\"44149760\"]\n  19 [size=\"115172693\", alpha=\"0.15\", expect_size=\"34551808\"] \n  19 -> 40 [size =\"34551808\"]\n  19 -> 42 [size =\"34551808\"]\n  19 -> 43 [size =\"34551808\"]\n  19 -> 48 [size =\"34551808\"]\n  20 [size=\"155088213\", alpha=\"0.08\", expect_size=\"46526464\"] \n  20 -> 40 [size =\"46526464\"]\n  20 -> 48 [size =\"46526464\"]\n  21 [size=\"161648640\", alpha=\"0.02\", expect_size=\"48494592\"] \n  21 -> 39 [size =\"48494592\"]\n  21 -> 50 [size =\"48494592\"]\n  22 [size=\"61296640\", alpha=\"0.16\", expect_size=\"18388992\"] \n  22 -> 39 [size =\"18388992\"]\n  22 -> 41 [size =\"18388992\"]\n  22 -> 44 [size =\"18388992\"]\n  22 -> 47 [size =\"18388992\"]\n  22 -> 50 [size =\"18388992\"]\n  23 [size=\"99300693\", alpha=\"0.19\", expect_size=\"29790208\"] \n  23 -> 39 [size =\"29790208\"]\n  23 -> 44 [size =\"29790208\"]\n  23 -> 47 [size =\"29790208\"]\n  24 [size=\"143257600\", alpha=\"0.06\", expect_size=\"42977280\"] \n  24 -> 39 [size =\"42977280\"]\n  24 -> 40 [size =\"42977280\"]\n  24 -> 43 [size =\"42977280\"]\n  24 -> 46 [size =\"42977280\"]\n  24 -> 47 [size =\"42977280\"]\n  25 [size=\"37382827\", alpha=\"0.05\", expect_size=\"11214848\"] \n  25 -> 40 [size =\"11214848\"]\n  25 -> 43 [size =\"11214848\"]\n  25 -> 47 [size =\"11214848\"]\n  25 -> 48 [size =\"11214848\"]\n  25 -> 50 [size =\"11214848\"]\n  26 [size=\"72779093\", alpha=\"0.04\", expect_size=\"21833728\"] \n  26 -> 42 [size =\"21833728\"]\n  26 -> 43 [size =\"21833728\"]\n  26 -> 47 [size =\"21833728\"]\n  26 -> 48 [size =\"21833728\"]\n  26 -> 49 [size =\"21833728\"]\n  27 [size=\"24879787\", alpha=\"0.17\", expect_size=\"7463936\"] \n  27 -> 43 [size =\"7463936\"]\n  27 -> 48 [size =\"7463936\"]\n  27 -> 50 [size =\"7463936\"]\n  28 [size=\"30050987\", alpha=\"0.13\", expect_size=\"9015296\"] \n  28 -> 42 [size =\"9015296\"]\n  28 -> 43 [size =\"9015296\"]\n  28 -> 45 [size =\"9015296\"]\n  29 [size=\"134481920\", alpha=\"0.07\", expect_size=\"40344576\"] \n  29 -> 39 [size =\"40344576\"]\n  29 -> 40 [size =\"40344576\"]\n  29 -> 42 [size =\"40344576\"]\n  29 -> 43 [size =\"40344576\"]\n  29 -> 49 [size =\"40344576\"]\n  29 -> 50 [size =\"40344576\"]\n  30 [size=\"96290133\", alpha=\"0.12\", expect_size=\"28887040\"] \n  30 -> 40 [size =\"28887040\"]\n  30 -> 43 [size =\"28887040\"]\n  30 -> 49 [size =\"28887040\"]\n  30 -> 50 [size =\"28887040\"]\n  31 [size=\"159733760\", alpha=\"0.02\", expect_size=\"47920128\"] \n  31 -> 42 [size =\"47920128\"]\n  31 -> 47 [size =\"47920128\"]\n  31 -> 50 [size =\"47920128\"]\n  32 [size=\"17646933\", alpha=\"0.17\", expect_size=\"5294080\"] \n  32 -> 42 [size =\"5294080\"]\n  32 -> 47 [size =\"5294080\"]\n  32 -> 50 [size =\"5294080\"]\n  33 [size=\"141049173\", alpha=\"0.11\", expect_size=\"42314752\"] \n  33 -> 47 [size =\"42314752\"]\n  34 [size=\"131826347\", alpha=\"0.01\", expect_size=\"39547904\"] \n  34 -> 39 [size =\"39547904\"]\n  34 -> 40 [size =\"39547904\"]\n  34 -> 46 [size =\"39547904\"]\n  34 -> 48 [size =\"39547904\"]\n  34 -> 49 [size =\"39547904\"]\n  35 [size=\"24971947\", alpha=\"0.07\", expect_size=\"7491584\"] \n  36 [size=\"67614720\", alpha=\"0.15\", expect_size=\"20284416\"] \n  36 -> 42 [size =\"20284416\"]\n  36 -> 43 [size =\"20284416\"]\n  36 -> 50 [size =\"20284416\"]\n  37 [size=\"100464640\", alpha=\"0.08\", expect_size=\"30139392\"] \n  37 -> 39 [size =\"30139392\"]\n  37 -> 43 [size =\"30139392\"]\n  37 -> 48 [size =\"30139392\"]\n  37 -> 50 [size =\"30139392\"]\n  38 [size=\"80684373\", alpha=\"0.17\", expect_size=\"24205312\"] \n  38 -> 45 [size =\"24205312\"]\n  38 -> 47 [size =\"24205312\"]\n  38 -> 50 [size =\"24205312\"]\n  38 -> 50 [size =\"24205312\"]\n  39 [size=\"27303253\", alpha=\"0.19\", expect_size=\"8190976\"] \n  40 [size=\"83019093\", alpha=\"0.19\", expect_size=\"24905728\"] \n  41 [size=\"18356907\", alpha=\"0.17\", expect_size=\"5507072\"] \n  42 [size=\"32143360\", alpha=\"0.20\", expect_size=\"9643008\"] \n  43 [size=\"163328000\", alpha=\"0.14\", expect_size=\"48998400\"] \n  44 [size=\"92610560\", alpha=\"0.03\", expect_size=\"27783168\"] \n  45 [size=\"102092800\", alpha=\"0.16\", expect_size=\"30627840\"] \n  46 [size=\"154269013\", alpha=\"0.15\", expect_size=\"46280704\"] \n  47 [size=\"112363520\", alpha=\"0.15\", expect_size=\"33709056\"] \n  48 [size=\"173172053\", alpha=\"0.17\", expect_size=\"51951616\"] \n  49 [size=\"151814827\", alpha=\"0.14\", expect_size=\"45544448\"] \n  50 [size=\"145991680\", alpha=\"0.01\", expect_size=\"43797504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.352.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143861760\", alpha=\"0.04\", expect_size=\"43158528\"] \n  1 -> 12 [size =\"43158528\"]\n  1 -> 15 [size =\"43158528\"]\n  2 [size=\"148319573\", alpha=\"0.07\", expect_size=\"44495872\"] \n  2 -> 12 [size =\"44495872\"]\n  3 [size=\"26722987\", alpha=\"0.16\", expect_size=\"8016896\"] \n  3 -> 11 [size =\"8016896\"]\n  3 -> 12 [size =\"8016896\"]\n  4 [size=\"130208427\", alpha=\"0.07\", expect_size=\"39062528\"] \n  4 -> 10 [size =\"39062528\"]\n  4 -> 11 [size =\"39062528\"]\n  4 -> 12 [size =\"39062528\"]\n  4 -> 13 [size =\"39062528\"]\n  4 -> 14 [size =\"39062528\"]\n  4 -> 15 [size =\"39062528\"]\n  4 -> 16 [size =\"39062528\"]\n  5 [size=\"84531200\", alpha=\"0.09\", expect_size=\"25359360\"] \n  5 -> 14 [size =\"25359360\"]\n  5 -> 15 [size =\"25359360\"]\n  5 -> 16 [size =\"25359360\"]\n  6 [size=\"168045227\", alpha=\"0.01\", expect_size=\"50413568\"] \n  6 -> 11 [size =\"50413568\"]\n  6 -> 13 [size =\"50413568\"]\n  6 -> 14 [size =\"50413568\"]\n  6 -> 16 [size =\"50413568\"]\n  7 [size=\"53565440\", alpha=\"0.09\", expect_size=\"16069632\"] \n  7 -> 11 [size =\"16069632\"]\n  7 -> 15 [size =\"16069632\"]\n  7 -> 16 [size =\"16069632\"]\n  8 [size=\"160324267\", alpha=\"0.17\", expect_size=\"48097280\"] \n  8 -> 11 [size =\"48097280\"]\n  8 -> 14 [size =\"48097280\"]\n  8 -> 16 [size =\"48097280\"]\n  9 [size=\"160163840\", alpha=\"0.10\", expect_size=\"48049152\"] \n  10 [size=\"74246827\", alpha=\"0.09\", expect_size=\"22274048\"] \n  10 -> 18 [size =\"22274048\"]\n  11 [size=\"88992427\", alpha=\"0.20\", expect_size=\"26697728\"] \n  11 -> 17 [size =\"26697728\"]\n  11 -> 21 [size =\"26697728\"]\n  12 [size=\"120122027\", alpha=\"0.11\", expect_size=\"36036608\"] \n  12 -> 18 [size =\"36036608\"]\n  12 -> 19 [size =\"36036608\"]\n  12 -> 20 [size =\"36036608\"]\n  12 -> 22 [size =\"36036608\"]\n  13 [size=\"173462187\", alpha=\"0.12\", expect_size=\"52038656\"] \n  13 -> 20 [size =\"52038656\"]\n  13 -> 21 [size =\"52038656\"]\n  13 -> 23 [size =\"52038656\"]\n  14 [size=\"142742187\", alpha=\"0.12\", expect_size=\"42822656\"] \n  14 -> 23 [size =\"42822656\"]\n  15 [size=\"39239680\", alpha=\"0.19\", expect_size=\"11771904\"] \n  15 -> 17 [size =\"11771904\"]\n  15 -> 22 [size =\"11771904\"]\n  15 -> 23 [size =\"11771904\"]\n  16 [size=\"106629120\", alpha=\"0.06\", expect_size=\"31988736\"] \n  16 -> 17 [size =\"31988736\"]\n  16 -> 21 [size =\"31988736\"]\n  17 [size=\"117613227\", alpha=\"0.12\", expect_size=\"35283968\"] \n  17 -> 26 [size =\"35283968\"]\n  18 [size=\"32696320\", alpha=\"0.05\", expect_size=\"9808896\"] \n  18 -> 28 [size =\"9808896\"]\n  18 -> 29 [size =\"9808896\"]\n  19 [size=\"166355627\", alpha=\"0.08\", expect_size=\"49906688\"] \n  20 [size=\"87227733\", alpha=\"0.09\", expect_size=\"26168320\"] \n  20 -> 24 [size =\"26168320\"]\n  20 -> 29 [size =\"26168320\"]\n  21 [size=\"154364587\", alpha=\"0.05\", expect_size=\"46309376\"] \n  21 -> 24 [size =\"46309376\"]\n  21 -> 26 [size =\"46309376\"]\n  22 [size=\"154231467\", alpha=\"0.19\", expect_size=\"46269440\"] \n  22 -> 25 [size =\"46269440\"]\n  22 -> 29 [size =\"46269440\"]\n  23 [size=\"81288533\", alpha=\"0.13\", expect_size=\"24386560\"] \n  23 -> 25 [size =\"24386560\"]\n  23 -> 27 [size =\"24386560\"]\n  24 [size=\"172458667\", alpha=\"0.02\", expect_size=\"51737600\"] \n  24 -> 31 [size =\"51737600\"]\n  24 -> 32 [size =\"51737600\"]\n  24 -> 35 [size =\"51737600\"]\n  25 [size=\"106731520\", alpha=\"0.19\", expect_size=\"32019456\"] \n  25 -> 30 [size =\"32019456\"]\n  25 -> 32 [size =\"32019456\"]\n  25 -> 35 [size =\"32019456\"]\n  25 -> 37 [size =\"32019456\"]\n  26 [size=\"97037653\", alpha=\"0.16\", expect_size=\"29111296\"] \n  26 -> 32 [size =\"29111296\"]\n  26 -> 36 [size =\"29111296\"]\n  27 [size=\"141397333\", alpha=\"0.17\", expect_size=\"42419200\"] \n  28 [size=\"76148053\", alpha=\"0.16\", expect_size=\"22844416\"] \n  28 -> 31 [size =\"22844416\"]\n  28 -> 36 [size =\"22844416\"]\n  29 [size=\"111557973\", alpha=\"0.13\", expect_size=\"33467392\"] \n  29 -> 31 [size =\"33467392\"]\n  29 -> 33 [size =\"33467392\"]\n  29 -> 34 [size =\"33467392\"]\n  29 -> 37 [size =\"33467392\"]\n  30 [size=\"18490027\", alpha=\"0.18\", expect_size=\"5547008\"] \n  30 -> 39 [size =\"5547008\"]\n  30 -> 40 [size =\"5547008\"]\n  31 [size=\"87005867\", alpha=\"0.11\", expect_size=\"26101760\"] \n  31 -> 41 [size =\"26101760\"]\n  31 -> 45 [size =\"26101760\"]\n  32 [size=\"128918187\", alpha=\"0.18\", expect_size=\"38675456\"] \n  32 -> 39 [size =\"38675456\"]\n  33 [size=\"117783893\", alpha=\"0.05\", expect_size=\"35335168\"] \n  33 -> 40 [size =\"35335168\"]\n  33 -> 44 [size =\"35335168\"]\n  33 -> 45 [size =\"35335168\"]\n  34 [size=\"62856533\", alpha=\"0.07\", expect_size=\"18856960\"] \n  34 -> 44 [size =\"18856960\"]\n  35 [size=\"76861440\", alpha=\"0.12\", expect_size=\"23058432\"] \n  35 -> 38 [size =\"23058432\"]\n  35 -> 39 [size =\"23058432\"]\n  35 -> 44 [size =\"23058432\"]\n  36 [size=\"69577387\", alpha=\"0.09\", expect_size=\"20873216\"] \n  36 -> 39 [size =\"20873216\"]\n  36 -> 42 [size =\"20873216\"]\n  36 -> 43 [size =\"20873216\"]\n  36 -> 44 [size =\"20873216\"]\n  36 -> 45 [size =\"20873216\"]\n  37 [size=\"34280107\", alpha=\"0.18\", expect_size=\"10284032\"] \n  37 -> 38 [size =\"10284032\"]\n  37 -> 43 [size =\"10284032\"]\n  38 [size=\"164355413\", alpha=\"0.09\", expect_size=\"49306624\"] \n  39 [size=\"130788693\", alpha=\"0.19\", expect_size=\"39236608\"] \n  40 [size=\"76270933\", alpha=\"0.19\", expect_size=\"22881280\"] \n  41 [size=\"57576107\", alpha=\"0.15\", expect_size=\"17272832\"] \n  42 [size=\"146220373\", alpha=\"0.09\", expect_size=\"43866112\"] \n  42 -> 47 [size =\"43866112\"]\n  43 [size=\"130276693\", alpha=\"0.11\", expect_size=\"39083008\"] \n  43 -> 48 [size =\"39083008\"]\n  43 -> 49 [size =\"39083008\"]\n  44 [size=\"165734400\", alpha=\"0.12\", expect_size=\"49720320\"] \n  44 -> 49 [size =\"49720320\"]\n  45 [size=\"63290027\", alpha=\"0.05\", expect_size=\"18987008\"] \n  45 -> 46 [size =\"18987008\"]\n  45 -> 50 [size =\"18987008\"]\n  46 [size=\"159276373\", alpha=\"0.09\", expect_size=\"47782912\"] \n  47 [size=\"70997333\", alpha=\"0.07\", expect_size=\"21299200\"] \n  48 [size=\"55869440\", alpha=\"0.14\", expect_size=\"16760832\"] \n  49 [size=\"129119573\", alpha=\"0.12\", expect_size=\"38735872\"] \n  50 [size=\"125057707\", alpha=\"0.10\", expect_size=\"37517312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.353.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98099200\", alpha=\"0.18\", expect_size=\"29429760\"] \n  1 -> 3 [size =\"29429760\"]\n  1 -> 4 [size =\"29429760\"]\n  2 [size=\"33140053\", alpha=\"0.04\", expect_size=\"9942016\"] \n  3 [size=\"55029760\", alpha=\"0.12\", expect_size=\"16508928\"] \n  3 -> 5 [size =\"16508928\"]\n  3 -> 6 [size =\"16508928\"]\n  4 [size=\"141213013\", alpha=\"0.17\", expect_size=\"42363904\"] \n  4 -> 6 [size =\"42363904\"]\n  5 [size=\"42564267\", alpha=\"0.19\", expect_size=\"12769280\"] \n  5 -> 7 [size =\"12769280\"]\n  6 [size=\"155238400\", alpha=\"0.05\", expect_size=\"46571520\"] \n  6 -> 7 [size =\"46571520\"]\n  7 [size=\"139291307\", alpha=\"0.03\", expect_size=\"41787392\"] \n  7 -> 8 [size =\"41787392\"]\n  7 -> 9 [size =\"41787392\"]\n  7 -> 10 [size =\"41787392\"]\n  8 [size=\"116773547\", alpha=\"0.06\", expect_size=\"35032064\"] \n  8 -> 13 [size =\"35032064\"]\n  9 [size=\"64808960\", alpha=\"0.10\", expect_size=\"19442688\"] \n  9 -> 14 [size =\"19442688\"]\n  10 [size=\"78769493\", alpha=\"0.05\", expect_size=\"23630848\"] \n  10 -> 11 [size =\"23630848\"]\n  10 -> 12 [size =\"23630848\"]\n  10 -> 13 [size =\"23630848\"]\n  11 [size=\"119773867\", alpha=\"0.06\", expect_size=\"35932160\"] \n  11 -> 15 [size =\"35932160\"]\n  12 [size=\"100253013\", alpha=\"0.07\", expect_size=\"30075904\"] \n  13 [size=\"132304213\", alpha=\"0.04\", expect_size=\"39691264\"] \n  13 -> 15 [size =\"39691264\"]\n  14 [size=\"71328427\", alpha=\"0.07\", expect_size=\"21398528\"] \n  14 -> 15 [size =\"21398528\"]\n  14 -> 16 [size =\"21398528\"]\n  15 [size=\"44905813\", alpha=\"0.14\", expect_size=\"13471744\"] \n  15 -> 17 [size =\"13471744\"]\n  15 -> 18 [size =\"13471744\"]\n  15 -> 19 [size =\"13471744\"]\n  15 -> 20 [size =\"13471744\"]\n  16 [size=\"34017280\", alpha=\"0.19\", expect_size=\"10205184\"] \n  16 -> 17 [size =\"10205184\"]\n  16 -> 18 [size =\"10205184\"]\n  16 -> 20 [size =\"10205184\"]\n  17 [size=\"73704107\", alpha=\"0.17\", expect_size=\"22111232\"] \n  17 -> 21 [size =\"22111232\"]\n  17 -> 22 [size =\"22111232\"]\n  17 -> 23 [size =\"22111232\"]\n  18 [size=\"93607253\", alpha=\"0.03\", expect_size=\"28082176\"] \n  18 -> 21 [size =\"28082176\"]\n  19 [size=\"137117013\", alpha=\"0.20\", expect_size=\"41135104\"] \n  20 [size=\"60139520\", alpha=\"0.07\", expect_size=\"18041856\"] \n  20 -> 22 [size =\"18041856\"]\n  20 -> 23 [size =\"18041856\"]\n  21 [size=\"99628373\", alpha=\"0.05\", expect_size=\"29888512\"] \n  21 -> 24 [size =\"29888512\"]\n  21 -> 26 [size =\"29888512\"]\n  22 [size=\"147193173\", alpha=\"0.05\", expect_size=\"44157952\"] \n  22 -> 26 [size =\"44157952\"]\n  22 -> 27 [size =\"44157952\"]\n  23 [size=\"44745387\", alpha=\"0.09\", expect_size=\"13423616\"] \n  23 -> 25 [size =\"13423616\"]\n  23 -> 27 [size =\"13423616\"]\n  24 [size=\"79394133\", alpha=\"0.09\", expect_size=\"23818240\"] \n  24 -> 31 [size =\"23818240\"]\n  25 [size=\"130734080\", alpha=\"0.13\", expect_size=\"39220224\"] \n  25 -> 28 [size =\"39220224\"]\n  25 -> 29 [size =\"39220224\"]\n  25 -> 30 [size =\"39220224\"]\n  25 -> 31 [size =\"39220224\"]\n  26 [size=\"81875627\", alpha=\"0.14\", expect_size=\"24562688\"] \n  27 [size=\"70720853\", alpha=\"0.10\", expect_size=\"21216256\"] \n  27 -> 31 [size =\"21216256\"]\n  28 [size=\"48401067\", alpha=\"0.19\", expect_size=\"14520320\"] \n  28 -> 32 [size =\"14520320\"]\n  29 [size=\"72809813\", alpha=\"0.14\", expect_size=\"21842944\"] \n  29 -> 33 [size =\"21842944\"]\n  30 [size=\"70802773\", alpha=\"0.17\", expect_size=\"21240832\"] \n  31 [size=\"127450453\", alpha=\"0.13\", expect_size=\"38235136\"] \n  31 -> 32 [size =\"38235136\"]\n  31 -> 33 [size =\"38235136\"]\n  32 [size=\"166092800\", alpha=\"0.19\", expect_size=\"49827840\"] \n  32 -> 34 [size =\"49827840\"]\n  33 [size=\"45107200\", alpha=\"0.00\", expect_size=\"13532160\"] \n  33 -> 34 [size =\"13532160\"]\n  34 [size=\"116619947\", alpha=\"0.08\", expect_size=\"34985984\"] \n  34 -> 35 [size =\"34985984\"]\n  34 -> 36 [size =\"34985984\"]\n  34 -> 37 [size =\"34985984\"]\n  35 [size=\"32512000\", alpha=\"0.19\", expect_size=\"9753600\"] \n  35 -> 38 [size =\"9753600\"]\n  36 [size=\"132440747\", alpha=\"0.13\", expect_size=\"39732224\"] \n  36 -> 38 [size =\"39732224\"]\n  36 -> 39 [size =\"39732224\"]\n  36 -> 40 [size =\"39732224\"]\n  37 [size=\"82315947\", alpha=\"0.13\", expect_size=\"24694784\"] \n  37 -> 39 [size =\"24694784\"]\n  38 [size=\"161239040\", alpha=\"0.04\", expect_size=\"48371712\"] \n  38 -> 41 [size =\"48371712\"]\n  39 [size=\"153937920\", alpha=\"0.09\", expect_size=\"46181376\"] \n  39 -> 42 [size =\"46181376\"]\n  40 [size=\"107745280\", alpha=\"0.20\", expect_size=\"32323584\"] \n  41 [size=\"83961173\", alpha=\"0.01\", expect_size=\"25188352\"] \n  41 -> 43 [size =\"25188352\"]\n  42 [size=\"27593387\", alpha=\"0.19\", expect_size=\"8278016\"] \n  42 -> 43 [size =\"8278016\"]\n  43 [size=\"21425493\", alpha=\"0.00\", expect_size=\"6427648\"] \n  43 -> 44 [size =\"6427648\"]\n  43 -> 45 [size =\"6427648\"]\n  43 -> 46 [size =\"6427648\"]\n  44 [size=\"22995627\", alpha=\"0.10\", expect_size=\"6898688\"] \n  45 [size=\"86162773\", alpha=\"0.13\", expect_size=\"25848832\"] \n  45 -> 47 [size =\"25848832\"]\n  46 [size=\"81066667\", alpha=\"0.05\", expect_size=\"24320000\"] \n  46 -> 47 [size =\"24320000\"]\n  46 -> 48 [size =\"24320000\"]\n  46 -> 49 [size =\"24320000\"]\n  47 [size=\"24251733\", alpha=\"0.03\", expect_size=\"7275520\"] \n  48 [size=\"129232213\", alpha=\"0.06\", expect_size=\"38769664\"] \n  48 -> 50 [size =\"38769664\"]\n  49 [size=\"157569707\", alpha=\"0.15\", expect_size=\"47270912\"] \n  49 -> 50 [size =\"47270912\"]\n  50 [size=\"71615147\", alpha=\"0.12\", expect_size=\"21484544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.354.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79697920\", alpha=\"0.10\", expect_size=\"23909376\"] \n  1 -> 2 [size =\"23909376\"]\n  2 [size=\"46213120\", alpha=\"0.10\", expect_size=\"13863936\"] \n  2 -> 3 [size =\"13863936\"]\n  3 [size=\"151463253\", alpha=\"0.05\", expect_size=\"45438976\"] \n  3 -> 4 [size =\"45438976\"]\n  4 [size=\"120866133\", alpha=\"0.02\", expect_size=\"36259840\"] \n  4 -> 5 [size =\"36259840\"]\n  5 [size=\"159150080\", alpha=\"0.06\", expect_size=\"47745024\"] \n  5 -> 6 [size =\"47745024\"]\n  6 [size=\"156648107\", alpha=\"0.07\", expect_size=\"46994432\"] \n  6 -> 7 [size =\"46994432\"]\n  7 [size=\"82670933\", alpha=\"0.03\", expect_size=\"24801280\"] \n  7 -> 8 [size =\"24801280\"]\n  8 [size=\"173182293\", alpha=\"0.04\", expect_size=\"51954688\"] \n  8 -> 9 [size =\"51954688\"]\n  9 [size=\"20732587\", alpha=\"0.15\", expect_size=\"6219776\"] \n  9 -> 10 [size =\"6219776\"]\n  10 [size=\"50135040\", alpha=\"0.07\", expect_size=\"15040512\"] \n  10 -> 11 [size =\"15040512\"]\n  11 [size=\"21394773\", alpha=\"0.02\", expect_size=\"6418432\"] \n  11 -> 12 [size =\"6418432\"]\n  12 [size=\"97058133\", alpha=\"0.15\", expect_size=\"29117440\"] \n  12 -> 13 [size =\"29117440\"]\n  13 [size=\"174295040\", alpha=\"0.00\", expect_size=\"52288512\"] \n  13 -> 14 [size =\"52288512\"]\n  14 [size=\"57729707\", alpha=\"0.04\", expect_size=\"17318912\"] \n  14 -> 15 [size =\"17318912\"]\n  15 [size=\"73929387\", alpha=\"0.10\", expect_size=\"22178816\"] \n  15 -> 16 [size =\"22178816\"]\n  16 [size=\"122682027\", alpha=\"0.11\", expect_size=\"36804608\"] \n  16 -> 17 [size =\"36804608\"]\n  17 [size=\"18281813\", alpha=\"0.15\", expect_size=\"5484544\"] \n  17 -> 18 [size =\"5484544\"]\n  18 [size=\"44072960\", alpha=\"0.11\", expect_size=\"13221888\"] \n  18 -> 19 [size =\"13221888\"]\n  19 [size=\"73140907\", alpha=\"0.14\", expect_size=\"21942272\"] \n  19 -> 20 [size =\"21942272\"]\n  20 [size=\"29972480\", alpha=\"0.03\", expect_size=\"8991744\"] \n  20 -> 21 [size =\"8991744\"]\n  21 [size=\"83090773\", alpha=\"0.00\", expect_size=\"24927232\"] \n  21 -> 22 [size =\"24927232\"]\n  22 [size=\"100352000\", alpha=\"0.01\", expect_size=\"30105600\"] \n  22 -> 23 [size =\"30105600\"]\n  23 [size=\"57384960\", alpha=\"0.18\", expect_size=\"17215488\"] \n  23 -> 24 [size =\"17215488\"]\n  24 [size=\"58361173\", alpha=\"0.09\", expect_size=\"17508352\"] \n  24 -> 25 [size =\"17508352\"]\n  25 [size=\"90606933\", alpha=\"0.18\", expect_size=\"27182080\"] \n  25 -> 26 [size =\"27182080\"]\n  26 [size=\"172953600\", alpha=\"0.05\", expect_size=\"51886080\"] \n  26 -> 27 [size =\"51886080\"]\n  27 [size=\"101826560\", alpha=\"0.19\", expect_size=\"30547968\"] \n  27 -> 28 [size =\"30547968\"]\n  28 [size=\"65396053\", alpha=\"0.14\", expect_size=\"19618816\"] \n  28 -> 29 [size =\"19618816\"]\n  29 [size=\"154047147\", alpha=\"0.09\", expect_size=\"46214144\"] \n  29 -> 30 [size =\"46214144\"]\n  30 [size=\"108393813\", alpha=\"0.08\", expect_size=\"32518144\"] \n  30 -> 31 [size =\"32518144\"]\n  31 [size=\"133952853\", alpha=\"0.08\", expect_size=\"40185856\"] \n  31 -> 32 [size =\"40185856\"]\n  32 [size=\"135659520\", alpha=\"0.18\", expect_size=\"40697856\"] \n  32 -> 33 [size =\"40697856\"]\n  33 [size=\"142247253\", alpha=\"0.07\", expect_size=\"42674176\"] \n  33 -> 34 [size =\"42674176\"]\n  34 [size=\"130426880\", alpha=\"0.02\", expect_size=\"39128064\"] \n  34 -> 35 [size =\"39128064\"]\n  35 [size=\"46301867\", alpha=\"0.04\", expect_size=\"13890560\"] \n  35 -> 36 [size =\"13890560\"]\n  36 [size=\"31542613\", alpha=\"0.20\", expect_size=\"9462784\"] \n  36 -> 37 [size =\"9462784\"]\n  37 [size=\"68034560\", alpha=\"0.15\", expect_size=\"20410368\"] \n  37 -> 38 [size =\"20410368\"]\n  38 [size=\"63692800\", alpha=\"0.14\", expect_size=\"19107840\"] \n  38 -> 39 [size =\"19107840\"]\n  39 [size=\"174219947\", alpha=\"0.00\", expect_size=\"52265984\"] \n  39 -> 40 [size =\"52265984\"]\n  40 [size=\"88302933\", alpha=\"0.08\", expect_size=\"26490880\"] \n  40 -> 41 [size =\"26490880\"]\n  41 [size=\"153169920\", alpha=\"0.04\", expect_size=\"45950976\"] \n  41 -> 42 [size =\"45950976\"]\n  42 [size=\"58176853\", alpha=\"0.10\", expect_size=\"17453056\"] \n  42 -> 43 [size =\"17453056\"]\n  43 [size=\"40185173\", alpha=\"0.02\", expect_size=\"12055552\"] \n  43 -> 44 [size =\"12055552\"]\n  44 [size=\"98730667\", alpha=\"0.18\", expect_size=\"29619200\"] \n  44 -> 45 [size =\"29619200\"]\n  45 [size=\"116787200\", alpha=\"0.04\", expect_size=\"35036160\"] \n  45 -> 46 [size =\"35036160\"]\n  46 [size=\"150801067\", alpha=\"0.10\", expect_size=\"45240320\"] \n  46 -> 47 [size =\"45240320\"]\n  47 [size=\"148701867\", alpha=\"0.07\", expect_size=\"44610560\"] \n  47 -> 48 [size =\"44610560\"]\n  48 [size=\"111291733\", alpha=\"0.09\", expect_size=\"33387520\"] \n  48 -> 49 [size =\"33387520\"]\n  49 [size=\"65170773\", alpha=\"0.09\", expect_size=\"19551232\"] \n  49 -> 50 [size =\"19551232\"]\n  50 [size=\"66003627\", alpha=\"0.01\", expect_size=\"19801088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.355.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120401920\", alpha=\"0.18\", expect_size=\"48160768\"] \n  1 -> 8 [size =\"48160768\"]\n  1 -> 9 [size =\"48160768\"]\n  1 -> 10 [size =\"48160768\"]\n  1 -> 11 [size =\"48160768\"]\n  1 -> 12 [size =\"48160768\"]\n  1 -> 13 [size =\"48160768\"]\n  1 -> 14 [size =\"48160768\"]\n  2 [size=\"73704960\", alpha=\"0.18\", expect_size=\"29481984\"] \n  2 -> 8 [size =\"29481984\"]\n  2 -> 9 [size =\"29481984\"]\n  2 -> 10 [size =\"29481984\"]\n  2 -> 11 [size =\"29481984\"]\n  2 -> 12 [size =\"29481984\"]\n  2 -> 13 [size =\"29481984\"]\n  3 [size=\"72015360\", alpha=\"0.06\", expect_size=\"28806144\"] \n  3 -> 8 [size =\"28806144\"]\n  3 -> 9 [size =\"28806144\"]\n  3 -> 10 [size =\"28806144\"]\n  3 -> 11 [size =\"28806144\"]\n  3 -> 12 [size =\"28806144\"]\n  3 -> 13 [size =\"28806144\"]\n  4 [size=\"83374080\", alpha=\"0.08\", expect_size=\"33349632\"] \n  4 -> 8 [size =\"33349632\"]\n  5 [size=\"48448000\", alpha=\"0.14\", expect_size=\"19379200\"] \n  5 -> 8 [size =\"19379200\"]\n  5 -> 10 [size =\"19379200\"]\n  5 -> 12 [size =\"19379200\"]\n  6 [size=\"22707200\", alpha=\"0.02\", expect_size=\"9082880\"] \n  6 -> 8 [size =\"9082880\"]\n  6 -> 10 [size =\"9082880\"]\n  6 -> 11 [size =\"9082880\"]\n  6 -> 12 [size =\"9082880\"]\n  6 -> 14 [size =\"9082880\"]\n  7 [size=\"21934080\", alpha=\"0.20\", expect_size=\"8773632\"] \n  7 -> 8 [size =\"8773632\"]\n  7 -> 9 [size =\"8773632\"]\n  7 -> 10 [size =\"8773632\"]\n  7 -> 11 [size =\"8773632\"]\n  7 -> 12 [size =\"8773632\"]\n  7 -> 13 [size =\"8773632\"]\n  7 -> 14 [size =\"8773632\"]\n  8 [size=\"76651520\", alpha=\"0.13\", expect_size=\"30660608\"] \n  8 -> 16 [size =\"30660608\"]\n  8 -> 17 [size =\"30660608\"]\n  8 -> 18 [size =\"30660608\"]\n  8 -> 19 [size =\"30660608\"]\n  8 -> 20 [size =\"30660608\"]\n  8 -> 21 [size =\"30660608\"]\n  9 [size=\"20569600\", alpha=\"0.00\", expect_size=\"8227840\"] \n  9 -> 17 [size =\"8227840\"]\n  9 -> 19 [size =\"8227840\"]\n  9 -> 22 [size =\"8227840\"]\n  10 [size=\"73868800\", alpha=\"0.05\", expect_size=\"29547520\"] \n  10 -> 16 [size =\"29547520\"]\n  10 -> 17 [size =\"29547520\"]\n  10 -> 19 [size =\"29547520\"]\n  10 -> 22 [size =\"29547520\"]\n  11 [size=\"24069120\", alpha=\"0.10\", expect_size=\"9627648\"] \n  11 -> 16 [size =\"9627648\"]\n  11 -> 17 [size =\"9627648\"]\n  11 -> 18 [size =\"9627648\"]\n  11 -> 19 [size =\"9627648\"]\n  11 -> 21 [size =\"9627648\"]\n  12 [size=\"129479680\", alpha=\"0.05\", expect_size=\"51791872\"] \n  12 -> 16 [size =\"51791872\"]\n  12 -> 17 [size =\"51791872\"]\n  12 -> 18 [size =\"51791872\"]\n  12 -> 21 [size =\"51791872\"]\n  13 [size=\"114762240\", alpha=\"0.16\", expect_size=\"45904896\"] \n  13 -> 16 [size =\"45904896\"]\n  13 -> 17 [size =\"45904896\"]\n  13 -> 18 [size =\"45904896\"]\n  13 -> 19 [size =\"45904896\"]\n  13 -> 21 [size =\"45904896\"]\n  14 [size=\"33753600\", alpha=\"0.06\", expect_size=\"13501440\"] \n  14 -> 15 [size =\"13501440\"]\n  14 -> 16 [size =\"13501440\"]\n  14 -> 19 [size =\"13501440\"]\n  14 -> 20 [size =\"13501440\"]\n  14 -> 21 [size =\"13501440\"]\n  15 [size=\"81605120\", alpha=\"0.01\", expect_size=\"32642048\"] \n  15 -> 24 [size =\"32642048\"]\n  15 -> 25 [size =\"32642048\"]\n  16 [size=\"44328960\", alpha=\"0.11\", expect_size=\"17731584\"] \n  16 -> 26 [size =\"17731584\"]\n  17 [size=\"58129920\", alpha=\"0.04\", expect_size=\"23251968\"] \n  17 -> 23 [size =\"23251968\"]\n  17 -> 25 [size =\"23251968\"]\n  17 -> 26 [size =\"23251968\"]\n  17 -> 27 [size =\"23251968\"]\n  18 [size=\"55441920\", alpha=\"0.15\", expect_size=\"22176768\"] \n  18 -> 23 [size =\"22176768\"]\n  18 -> 24 [size =\"22176768\"]\n  18 -> 25 [size =\"22176768\"]\n  18 -> 26 [size =\"22176768\"]\n  18 -> 27 [size =\"22176768\"]\n  19 [size=\"129625600\", alpha=\"0.05\", expect_size=\"51850240\"] \n  19 -> 24 [size =\"51850240\"]\n  19 -> 25 [size =\"51850240\"]\n  19 -> 27 [size =\"51850240\"]\n  20 [size=\"130342400\", alpha=\"0.01\", expect_size=\"52136960\"] \n  20 -> 23 [size =\"52136960\"]\n  20 -> 25 [size =\"52136960\"]\n  20 -> 26 [size =\"52136960\"]\n  20 -> 27 [size =\"52136960\"]\n  21 [size=\"44149760\", alpha=\"0.15\", expect_size=\"17659904\"] \n  21 -> 23 [size =\"17659904\"]\n  21 -> 24 [size =\"17659904\"]\n  21 -> 25 [size =\"17659904\"]\n  21 -> 26 [size =\"17659904\"]\n  21 -> 27 [size =\"17659904\"]\n  21 -> 28 [size =\"17659904\"]\n  22 [size=\"100689920\", alpha=\"0.19\", expect_size=\"40275968\"] \n  22 -> 23 [size =\"40275968\"]\n  22 -> 25 [size =\"40275968\"]\n  22 -> 26 [size =\"40275968\"]\n  22 -> 27 [size =\"40275968\"]\n  23 [size=\"127953920\", alpha=\"0.13\", expect_size=\"51181568\"] \n  23 -> 29 [size =\"51181568\"]\n  23 -> 30 [size =\"51181568\"]\n  23 -> 31 [size =\"51181568\"]\n  24 [size=\"104299520\", alpha=\"0.19\", expect_size=\"41719808\"] \n  24 -> 29 [size =\"41719808\"]\n  24 -> 30 [size =\"41719808\"]\n  24 -> 32 [size =\"41719808\"]\n  24 -> 33 [size =\"41719808\"]\n  24 -> 34 [size =\"41719808\"]\n  25 [size=\"22668800\", alpha=\"0.11\", expect_size=\"9067520\"] \n  25 -> 29 [size =\"9067520\"]\n  25 -> 31 [size =\"9067520\"]\n  25 -> 32 [size =\"9067520\"]\n  25 -> 33 [size =\"9067520\"]\n  25 -> 34 [size =\"9067520\"]\n  26 [size=\"31022080\", alpha=\"0.05\", expect_size=\"12408832\"] \n  26 -> 29 [size =\"12408832\"]\n  26 -> 31 [size =\"12408832\"]\n  26 -> 33 [size =\"12408832\"]\n  26 -> 33 [size =\"12408832\"]\n  26 -> 34 [size =\"12408832\"]\n  27 [size=\"93432320\", alpha=\"0.00\", expect_size=\"37372928\"] \n  27 -> 29 [size =\"37372928\"]\n  27 -> 31 [size =\"37372928\"]\n  27 -> 32 [size =\"37372928\"]\n  27 -> 33 [size =\"37372928\"]\n  27 -> 34 [size =\"37372928\"]\n  28 [size=\"114114560\", alpha=\"0.06\", expect_size=\"45645824\"] \n  28 -> 30 [size =\"45645824\"]\n  28 -> 31 [size =\"45645824\"]\n  28 -> 34 [size =\"45645824\"]\n  29 [size=\"83087360\", alpha=\"0.14\", expect_size=\"33234944\"] \n  29 -> 35 [size =\"33234944\"]\n  29 -> 36 [size =\"33234944\"]\n  30 [size=\"114301440\", alpha=\"0.11\", expect_size=\"45720576\"] \n  30 -> 35 [size =\"45720576\"]\n  30 -> 36 [size =\"45720576\"]\n  30 -> 38 [size =\"45720576\"]\n  30 -> 39 [size =\"45720576\"]\n  31 [size=\"120279040\", alpha=\"0.11\", expect_size=\"48111616\"] \n  31 -> 36 [size =\"48111616\"]\n  31 -> 38 [size =\"48111616\"]\n  31 -> 38 [size =\"48111616\"]\n  31 -> 39 [size =\"48111616\"]\n  32 [size=\"90355200\", alpha=\"0.10\", expect_size=\"36142080\"] \n  32 -> 35 [size =\"36142080\"]\n  32 -> 37 [size =\"36142080\"]\n  32 -> 38 [size =\"36142080\"]\n  32 -> 39 [size =\"36142080\"]\n  33 [size=\"85127680\", alpha=\"0.06\", expect_size=\"34051072\"] \n  33 -> 35 [size =\"34051072\"]\n  33 -> 36 [size =\"34051072\"]\n  33 -> 37 [size =\"34051072\"]\n  33 -> 38 [size =\"34051072\"]\n  33 -> 39 [size =\"34051072\"]\n  34 [size=\"45542400\", alpha=\"0.06\", expect_size=\"18216960\"] \n  34 -> 35 [size =\"18216960\"]\n  34 -> 37 [size =\"18216960\"]\n  34 -> 38 [size =\"18216960\"]\n  34 -> 39 [size =\"18216960\"]\n  34 -> 39 [size =\"18216960\"]\n  35 [size=\"41863680\", alpha=\"0.17\", expect_size=\"16745472\"] \n  35 -> 40 [size =\"16745472\"]\n  35 -> 42 [size =\"16745472\"]\n  35 -> 42 [size =\"16745472\"]\n  35 -> 43 [size =\"16745472\"]\n  35 -> 44 [size =\"16745472\"]\n  35 -> 45 [size =\"16745472\"]\n  36 [size=\"109440000\", alpha=\"0.14\", expect_size=\"43776000\"] \n  36 -> 41 [size =\"43776000\"]\n  36 -> 45 [size =\"43776000\"]\n  37 [size=\"21939200\", alpha=\"0.19\", expect_size=\"8775680\"] \n  37 -> 42 [size =\"8775680\"]\n  37 -> 44 [size =\"8775680\"]\n  37 -> 45 [size =\"8775680\"]\n  38 [size=\"24117760\", alpha=\"0.10\", expect_size=\"9647104\"] \n  38 -> 40 [size =\"9647104\"]\n  38 -> 42 [size =\"9647104\"]\n  38 -> 43 [size =\"9647104\"]\n  38 -> 44 [size =\"9647104\"]\n  38 -> 45 [size =\"9647104\"]\n  39 [size=\"61555200\", alpha=\"0.02\", expect_size=\"24622080\"] \n  39 -> 40 [size =\"24622080\"]\n  39 -> 41 [size =\"24622080\"]\n  39 -> 42 [size =\"24622080\"]\n  39 -> 43 [size =\"24622080\"]\n  39 -> 44 [size =\"24622080\"]\n  40 [size=\"23754240\", alpha=\"0.13\", expect_size=\"9501696\"] \n  40 -> 48 [size =\"9501696\"]\n  40 -> 50 [size =\"9501696\"]\n  41 [size=\"89441280\", alpha=\"0.09\", expect_size=\"35776512\"] \n  41 -> 47 [size =\"35776512\"]\n  41 -> 48 [size =\"35776512\"]\n  41 -> 49 [size =\"35776512\"]\n  41 -> 50 [size =\"35776512\"]\n  42 [size=\"33648640\", alpha=\"0.01\", expect_size=\"13459456\"] \n  42 -> 47 [size =\"13459456\"]\n  42 -> 48 [size =\"13459456\"]\n  42 -> 49 [size =\"13459456\"]\n  43 [size=\"90713600\", alpha=\"0.11\", expect_size=\"36285440\"] \n  43 -> 47 [size =\"36285440\"]\n  43 -> 48 [size =\"36285440\"]\n  43 -> 49 [size =\"36285440\"]\n  44 [size=\"126366720\", alpha=\"0.18\", expect_size=\"50546688\"] \n  44 -> 47 [size =\"50546688\"]\n  44 -> 48 [size =\"50546688\"]\n  44 -> 49 [size =\"50546688\"]\n  45 [size=\"43287040\", alpha=\"0.06\", expect_size=\"17314816\"] \n  45 -> 46 [size =\"17314816\"]\n  45 -> 47 [size =\"17314816\"]\n  45 -> 48 [size =\"17314816\"]\n  45 -> 50 [size =\"17314816\"]\n  46 [size=\"27939840\", alpha=\"0.16\", expect_size=\"11175936\"] \n  47 [size=\"111549440\", alpha=\"0.01\", expect_size=\"44619776\"] \n  48 [size=\"103211520\", alpha=\"0.03\", expect_size=\"41284608\"] \n  49 [size=\"45258240\", alpha=\"0.16\", expect_size=\"18103296\"] \n  50 [size=\"54210560\", alpha=\"0.07\", expect_size=\"21684224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.356.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68372480\", alpha=\"0.20\", expect_size=\"20511744\"] \n  1 -> 21 [size =\"20511744\"]\n  1 -> 23 [size =\"20511744\"]\n  1 -> 26 [size =\"20511744\"]\n  2 [size=\"123221333\", alpha=\"0.18\", expect_size=\"36966400\"] \n  2 -> 21 [size =\"36966400\"]\n  2 -> 25 [size =\"36966400\"]\n  2 -> 26 [size =\"36966400\"]\n  2 -> 27 [size =\"36966400\"]\n  2 -> 29 [size =\"36966400\"]\n  2 -> 30 [size =\"36966400\"]\n  2 -> 31 [size =\"36966400\"]\n  3 [size=\"161836373\", alpha=\"0.11\", expect_size=\"48550912\"] \n  3 -> 21 [size =\"48550912\"]\n  3 -> 25 [size =\"48550912\"]\n  4 [size=\"172421120\", alpha=\"0.20\", expect_size=\"51726336\"] \n  4 -> 21 [size =\"51726336\"]\n  4 -> 23 [size =\"51726336\"]\n  4 -> 24 [size =\"51726336\"]\n  4 -> 25 [size =\"51726336\"]\n  4 -> 29 [size =\"51726336\"]\n  5 [size=\"46428160\", alpha=\"0.08\", expect_size=\"13928448\"] \n  5 -> 21 [size =\"13928448\"]\n  5 -> 22 [size =\"13928448\"]\n  5 -> 23 [size =\"13928448\"]\n  5 -> 25 [size =\"13928448\"]\n  5 -> 28 [size =\"13928448\"]\n  5 -> 29 [size =\"13928448\"]\n  5 -> 31 [size =\"13928448\"]\n  6 [size=\"133618347\", alpha=\"0.08\", expect_size=\"40085504\"] \n  6 -> 25 [size =\"40085504\"]\n  6 -> 29 [size =\"40085504\"]\n  6 -> 30 [size =\"40085504\"]\n  6 -> 31 [size =\"40085504\"]\n  6 -> 32 [size =\"40085504\"]\n  7 [size=\"33293653\", alpha=\"0.19\", expect_size=\"9988096\"] \n  7 -> 31 [size =\"9988096\"]\n  7 -> 32 [size =\"9988096\"]\n  8 [size=\"31426560\", alpha=\"0.11\", expect_size=\"9427968\"] \n  8 -> 21 [size =\"9427968\"]\n  8 -> 26 [size =\"9427968\"]\n  8 -> 30 [size =\"9427968\"]\n  8 -> 32 [size =\"9427968\"]\n  9 [size=\"124119040\", alpha=\"0.06\", expect_size=\"37235712\"] \n  9 -> 21 [size =\"37235712\"]\n  9 -> 22 [size =\"37235712\"]\n  9 -> 25 [size =\"37235712\"]\n  9 -> 26 [size =\"37235712\"]\n  9 -> 28 [size =\"37235712\"]\n  9 -> 32 [size =\"37235712\"]\n  10 [size=\"103901867\", alpha=\"0.18\", expect_size=\"31170560\"] \n  10 -> 21 [size =\"31170560\"]\n  10 -> 22 [size =\"31170560\"]\n  10 -> 24 [size =\"31170560\"]\n  10 -> 25 [size =\"31170560\"]\n  10 -> 27 [size =\"31170560\"]\n  10 -> 29 [size =\"31170560\"]\n  10 -> 32 [size =\"31170560\"]\n  11 [size=\"107229867\", alpha=\"0.12\", expect_size=\"32168960\"] \n  11 -> 21 [size =\"32168960\"]\n  11 -> 22 [size =\"32168960\"]\n  11 -> 23 [size =\"32168960\"]\n  11 -> 29 [size =\"32168960\"]\n  11 -> 32 [size =\"32168960\"]\n  12 [size=\"105615360\", alpha=\"0.02\", expect_size=\"31684608\"] \n  12 -> 21 [size =\"31684608\"]\n  12 -> 23 [size =\"31684608\"]\n  12 -> 23 [size =\"31684608\"]\n  12 -> 28 [size =\"31684608\"]\n  12 -> 29 [size =\"31684608\"]\n  12 -> 32 [size =\"31684608\"]\n  13 [size=\"87473493\", alpha=\"0.09\", expect_size=\"26242048\"] \n  13 -> 21 [size =\"26242048\"]\n  13 -> 22 [size =\"26242048\"]\n  13 -> 23 [size =\"26242048\"]\n  13 -> 24 [size =\"26242048\"]\n  13 -> 26 [size =\"26242048\"]\n  13 -> 28 [size =\"26242048\"]\n  13 -> 29 [size =\"26242048\"]\n  13 -> 30 [size =\"26242048\"]\n  13 -> 32 [size =\"26242048\"]\n  14 [size=\"18404693\", alpha=\"0.09\", expect_size=\"5521408\"] \n  14 -> 21 [size =\"5521408\"]\n  14 -> 22 [size =\"5521408\"]\n  14 -> 24 [size =\"5521408\"]\n  14 -> 25 [size =\"5521408\"]\n  14 -> 26 [size =\"5521408\"]\n  14 -> 28 [size =\"5521408\"]\n  14 -> 32 [size =\"5521408\"]\n  15 [size=\"17670827\", alpha=\"0.02\", expect_size=\"5301248\"] \n  15 -> 21 [size =\"5301248\"]\n  15 -> 22 [size =\"5301248\"]\n  15 -> 24 [size =\"5301248\"]\n  15 -> 25 [size =\"5301248\"]\n  15 -> 26 [size =\"5301248\"]\n  15 -> 27 [size =\"5301248\"]\n  15 -> 28 [size =\"5301248\"]\n  15 -> 30 [size =\"5301248\"]\n  15 -> 32 [size =\"5301248\"]\n  16 [size=\"81268053\", alpha=\"0.11\", expect_size=\"24380416\"] \n  16 -> 21 [size =\"24380416\"]\n  16 -> 22 [size =\"24380416\"]\n  16 -> 23 [size =\"24380416\"]\n  16 -> 24 [size =\"24380416\"]\n  16 -> 25 [size =\"24380416\"]\n  16 -> 28 [size =\"24380416\"]\n  16 -> 32 [size =\"24380416\"]\n  17 [size=\"141428053\", alpha=\"0.17\", expect_size=\"42428416\"] \n  17 -> 21 [size =\"42428416\"]\n  17 -> 23 [size =\"42428416\"]\n  17 -> 28 [size =\"42428416\"]\n  17 -> 29 [size =\"42428416\"]\n  17 -> 31 [size =\"42428416\"]\n  17 -> 32 [size =\"42428416\"]\n  17 -> 32 [size =\"42428416\"]\n  18 [size=\"130573653\", alpha=\"0.08\", expect_size=\"39172096\"] \n  18 -> 21 [size =\"39172096\"]\n  18 -> 23 [size =\"39172096\"]\n  18 -> 25 [size =\"39172096\"]\n  18 -> 28 [size =\"39172096\"]\n  18 -> 29 [size =\"39172096\"]\n  18 -> 30 [size =\"39172096\"]\n  18 -> 31 [size =\"39172096\"]\n  19 [size=\"60334080\", alpha=\"0.11\", expect_size=\"18100224\"] \n  19 -> 21 [size =\"18100224\"]\n  19 -> 23 [size =\"18100224\"]\n  19 -> 25 [size =\"18100224\"]\n  19 -> 26 [size =\"18100224\"]\n  19 -> 28 [size =\"18100224\"]\n  19 -> 30 [size =\"18100224\"]\n  19 -> 32 [size =\"18100224\"]\n  20 [size=\"109564587\", alpha=\"0.02\", expect_size=\"32869376\"] \n  20 -> 21 [size =\"32869376\"]\n  20 -> 23 [size =\"32869376\"]\n  20 -> 29 [size =\"32869376\"]\n  20 -> 30 [size =\"32869376\"]\n  20 -> 31 [size =\"32869376\"]\n  21 [size=\"91938133\", alpha=\"0.19\", expect_size=\"27581440\"] \n  21 -> 33 [size =\"27581440\"]\n  21 -> 40 [size =\"27581440\"]\n  21 -> 40 [size =\"27581440\"]\n  21 -> 41 [size =\"27581440\"]\n  21 -> 45 [size =\"27581440\"]\n  22 [size=\"27825493\", alpha=\"0.10\", expect_size=\"8347648\"] \n  22 -> 33 [size =\"8347648\"]\n  22 -> 34 [size =\"8347648\"]\n  22 -> 40 [size =\"8347648\"]\n  22 -> 41 [size =\"8347648\"]\n  22 -> 44 [size =\"8347648\"]\n  22 -> 47 [size =\"8347648\"]\n  23 [size=\"46394027\", alpha=\"0.19\", expect_size=\"13918208\"] \n  23 -> 33 [size =\"13918208\"]\n  23 -> 34 [size =\"13918208\"]\n  23 -> 37 [size =\"13918208\"]\n  23 -> 41 [size =\"13918208\"]\n  23 -> 43 [size =\"13918208\"]\n  23 -> 44 [size =\"13918208\"]\n  23 -> 47 [size =\"13918208\"]\n  24 [size=\"119016107\", alpha=\"0.08\", expect_size=\"35704832\"] \n  24 -> 33 [size =\"35704832\"]\n  24 -> 35 [size =\"35704832\"]\n  24 -> 38 [size =\"35704832\"]\n  24 -> 40 [size =\"35704832\"]\n  24 -> 41 [size =\"35704832\"]\n  24 -> 43 [size =\"35704832\"]\n  24 -> 44 [size =\"35704832\"]\n  24 -> 45 [size =\"35704832\"]\n  25 [size=\"32754347\", alpha=\"0.00\", expect_size=\"9826304\"] \n  25 -> 36 [size =\"9826304\"]\n  25 -> 38 [size =\"9826304\"]\n  25 -> 40 [size =\"9826304\"]\n  25 -> 40 [size =\"9826304\"]\n  25 -> 42 [size =\"9826304\"]\n  25 -> 43 [size =\"9826304\"]\n  25 -> 45 [size =\"9826304\"]\n  25 -> 45 [size =\"9826304\"]\n  26 [size=\"46025387\", alpha=\"0.07\", expect_size=\"13807616\"] \n  26 -> 33 [size =\"13807616\"]\n  26 -> 35 [size =\"13807616\"]\n  26 -> 40 [size =\"13807616\"]\n  26 -> 41 [size =\"13807616\"]\n  26 -> 42 [size =\"13807616\"]\n  26 -> 43 [size =\"13807616\"]\n  26 -> 48 [size =\"13807616\"]\n  27 [size=\"130795520\", alpha=\"0.16\", expect_size=\"39238656\"] \n  27 -> 33 [size =\"39238656\"]\n  27 -> 34 [size =\"39238656\"]\n  27 -> 36 [size =\"39238656\"]\n  27 -> 38 [size =\"39238656\"]\n  27 -> 41 [size =\"39238656\"]\n  27 -> 42 [size =\"39238656\"]\n  27 -> 43 [size =\"39238656\"]\n  27 -> 44 [size =\"39238656\"]\n  28 [size=\"111080107\", alpha=\"0.07\", expect_size=\"33324032\"] \n  28 -> 33 [size =\"33324032\"]\n  28 -> 41 [size =\"33324032\"]\n  28 -> 42 [size =\"33324032\"]\n  28 -> 44 [size =\"33324032\"]\n  28 -> 45 [size =\"33324032\"]\n  28 -> 47 [size =\"33324032\"]\n  29 [size=\"171380053\", alpha=\"0.12\", expect_size=\"51414016\"] \n  29 -> 33 [size =\"51414016\"]\n  29 -> 37 [size =\"51414016\"]\n  29 -> 41 [size =\"51414016\"]\n  29 -> 42 [size =\"51414016\"]\n  29 -> 44 [size =\"51414016\"]\n  29 -> 46 [size =\"51414016\"]\n  29 -> 47 [size =\"51414016\"]\n  30 [size=\"103229440\", alpha=\"0.07\", expect_size=\"30968832\"] \n  30 -> 33 [size =\"30968832\"]\n  30 -> 35 [size =\"30968832\"]\n  30 -> 36 [size =\"30968832\"]\n  30 -> 39 [size =\"30968832\"]\n  30 -> 40 [size =\"30968832\"]\n  30 -> 41 [size =\"30968832\"]\n  30 -> 42 [size =\"30968832\"]\n  30 -> 43 [size =\"30968832\"]\n  30 -> 47 [size =\"30968832\"]\n  31 [size=\"119579307\", alpha=\"0.14\", expect_size=\"35873792\"] \n  31 -> 33 [size =\"35873792\"]\n  31 -> 36 [size =\"35873792\"]\n  31 -> 38 [size =\"35873792\"]\n  31 -> 40 [size =\"35873792\"]\n  31 -> 41 [size =\"35873792\"]\n  31 -> 42 [size =\"35873792\"]\n  31 -> 43 [size =\"35873792\"]\n  31 -> 44 [size =\"35873792\"]\n  32 [size=\"114039467\", alpha=\"0.12\", expect_size=\"34211840\"] \n  32 -> 33 [size =\"34211840\"]\n  32 -> 39 [size =\"34211840\"]\n  32 -> 40 [size =\"34211840\"]\n  32 -> 41 [size =\"34211840\"]\n  32 -> 42 [size =\"34211840\"]\n  32 -> 44 [size =\"34211840\"]\n  32 -> 45 [size =\"34211840\"]\n  32 -> 47 [size =\"34211840\"]\n  33 [size=\"35068587\", alpha=\"0.20\", expect_size=\"10520576\"] \n  33 -> 50 [size =\"10520576\"]\n  34 [size=\"27030187\", alpha=\"0.07\", expect_size=\"8109056\"] \n  34 -> 49 [size =\"8109056\"]\n  35 [size=\"87579307\", alpha=\"0.14\", expect_size=\"26273792\"] \n  35 -> 49 [size =\"26273792\"]\n  36 [size=\"88391680\", alpha=\"0.09\", expect_size=\"26517504\"] \n  37 [size=\"145605973\", alpha=\"0.00\", expect_size=\"43681792\"] \n  37 -> 49 [size =\"43681792\"]\n  38 [size=\"117756587\", alpha=\"0.06\", expect_size=\"35326976\"] \n  38 -> 49 [size =\"35326976\"]\n  39 [size=\"18797227\", alpha=\"0.16\", expect_size=\"5639168\"] \n  39 -> 49 [size =\"5639168\"]\n  40 [size=\"112660480\", alpha=\"0.19\", expect_size=\"33798144\"] \n  40 -> 49 [size =\"33798144\"]\n  41 [size=\"171199147\", alpha=\"0.11\", expect_size=\"51359744\"] \n  41 -> 49 [size =\"51359744\"]\n  42 [size=\"126883840\", alpha=\"0.04\", expect_size=\"38065152\"] \n  43 [size=\"67853653\", alpha=\"0.02\", expect_size=\"20356096\"] \n  43 -> 49 [size =\"20356096\"]\n  44 [size=\"64109227\", alpha=\"0.12\", expect_size=\"19232768\"] \n  45 [size=\"116575573\", alpha=\"0.03\", expect_size=\"34972672\"] \n  45 -> 49 [size =\"34972672\"]\n  45 -> 50 [size =\"34972672\"]\n  46 [size=\"68164267\", alpha=\"0.19\", expect_size=\"20449280\"] \n  46 -> 49 [size =\"20449280\"]\n  46 -> 50 [size =\"20449280\"]\n  47 [size=\"139960320\", alpha=\"0.09\", expect_size=\"41988096\"] \n  47 -> 50 [size =\"41988096\"]\n  48 [size=\"141339307\", alpha=\"0.11\", expect_size=\"42401792\"] \n  49 [size=\"28112213\", alpha=\"0.12\", expect_size=\"8433664\"] \n  50 [size=\"157716480\", alpha=\"0.04\", expect_size=\"47314944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.357.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103034880\", alpha=\"0.09\", expect_size=\"30910464\"] \n  1 -> 3 [size =\"30910464\"]\n  1 -> 4 [size =\"30910464\"]\n  1 -> 5 [size =\"30910464\"]\n  2 [size=\"172335787\", alpha=\"0.07\", expect_size=\"51700736\"] \n  2 -> 3 [size =\"51700736\"]\n  3 [size=\"20855467\", alpha=\"0.18\", expect_size=\"6256640\"] \n  3 -> 7 [size =\"6256640\"]\n  3 -> 8 [size =\"6256640\"]\n  4 [size=\"148363947\", alpha=\"0.10\", expect_size=\"44509184\"] \n  4 -> 6 [size =\"44509184\"]\n  4 -> 7 [size =\"44509184\"]\n  5 [size=\"161273173\", alpha=\"0.04\", expect_size=\"48381952\"] \n  5 -> 8 [size =\"48381952\"]\n  6 [size=\"106847573\", alpha=\"0.16\", expect_size=\"32054272\"] \n  6 -> 9 [size =\"32054272\"]\n  6 -> 11 [size =\"32054272\"]\n  7 [size=\"60122453\", alpha=\"0.19\", expect_size=\"18036736\"] \n  8 [size=\"145588907\", alpha=\"0.12\", expect_size=\"43676672\"] \n  8 -> 9 [size =\"43676672\"]\n  8 -> 10 [size =\"43676672\"]\n  9 [size=\"43475627\", alpha=\"0.11\", expect_size=\"13042688\"] \n  9 -> 14 [size =\"13042688\"]\n  10 [size=\"106291200\", alpha=\"0.14\", expect_size=\"31887360\"] \n  11 [size=\"70526293\", alpha=\"0.06\", expect_size=\"21157888\"] \n  11 -> 12 [size =\"21157888\"]\n  11 -> 13 [size =\"21157888\"]\n  12 [size=\"144336213\", alpha=\"0.17\", expect_size=\"43300864\"] \n  12 -> 17 [size =\"43300864\"]\n  13 [size=\"44346027\", alpha=\"0.15\", expect_size=\"13303808\"] \n  13 -> 15 [size =\"13303808\"]\n  13 -> 16 [size =\"13303808\"]\n  14 [size=\"30737067\", alpha=\"0.00\", expect_size=\"9221120\"] \n  14 -> 16 [size =\"9221120\"]\n  14 -> 17 [size =\"9221120\"]\n  15 [size=\"110646613\", alpha=\"0.19\", expect_size=\"33193984\"] \n  15 -> 19 [size =\"33193984\"]\n  16 [size=\"139110400\", alpha=\"0.12\", expect_size=\"41733120\"] \n  16 -> 20 [size =\"41733120\"]\n  17 [size=\"110551040\", alpha=\"0.10\", expect_size=\"33165312\"] \n  17 -> 18 [size =\"33165312\"]\n  17 -> 19 [size =\"33165312\"]\n  17 -> 20 [size =\"33165312\"]\n  18 [size=\"101874347\", alpha=\"0.16\", expect_size=\"30562304\"] \n  19 [size=\"38970027\", alpha=\"0.14\", expect_size=\"11691008\"] \n  20 [size=\"126842880\", alpha=\"0.02\", expect_size=\"38052864\"] \n  20 -> 21 [size =\"38052864\"]\n  20 -> 22 [size =\"38052864\"]\n  21 [size=\"80107520\", alpha=\"0.02\", expect_size=\"24032256\"] \n  21 -> 23 [size =\"24032256\"]\n  22 [size=\"124433067\", alpha=\"0.01\", expect_size=\"37329920\"] \n  22 -> 23 [size =\"37329920\"]\n  22 -> 24 [size =\"37329920\"]\n  23 [size=\"98580480\", alpha=\"0.00\", expect_size=\"29574144\"] \n  23 -> 25 [size =\"29574144\"]\n  23 -> 27 [size =\"29574144\"]\n  24 [size=\"56937813\", alpha=\"0.16\", expect_size=\"17081344\"] \n  24 -> 25 [size =\"17081344\"]\n  24 -> 26 [size =\"17081344\"]\n  24 -> 27 [size =\"17081344\"]\n  25 [size=\"58873173\", alpha=\"0.11\", expect_size=\"17661952\"] \n  26 [size=\"53056853\", alpha=\"0.16\", expect_size=\"15917056\"] \n  26 -> 28 [size =\"15917056\"]\n  27 [size=\"147094187\", alpha=\"0.07\", expect_size=\"44128256\"] \n  27 -> 29 [size =\"44128256\"]\n  28 [size=\"66263040\", alpha=\"0.15\", expect_size=\"19878912\"] \n  28 -> 31 [size =\"19878912\"]\n  29 [size=\"34863787\", alpha=\"0.06\", expect_size=\"10459136\"] \n  29 -> 30 [size =\"10459136\"]\n  29 -> 31 [size =\"10459136\"]\n  29 -> 32 [size =\"10459136\"]\n  30 [size=\"143472640\", alpha=\"0.08\", expect_size=\"43041792\"] \n  30 -> 33 [size =\"43041792\"]\n  30 -> 34 [size =\"43041792\"]\n  31 [size=\"161218560\", alpha=\"0.16\", expect_size=\"48365568\"] \n  31 -> 33 [size =\"48365568\"]\n  32 [size=\"173653333\", alpha=\"0.01\", expect_size=\"52096000\"] \n  32 -> 34 [size =\"52096000\"]\n  33 [size=\"21073920\", alpha=\"0.10\", expect_size=\"6322176\"] \n  33 -> 36 [size =\"6322176\"]\n  33 -> 37 [size =\"6322176\"]\n  34 [size=\"21425493\", alpha=\"0.20\", expect_size=\"6427648\"] \n  34 -> 35 [size =\"6427648\"]\n  35 [size=\"148312747\", alpha=\"0.02\", expect_size=\"44493824\"] \n  35 -> 38 [size =\"44493824\"]\n  35 -> 40 [size =\"44493824\"]\n  36 [size=\"73676800\", alpha=\"0.19\", expect_size=\"22103040\"] \n  36 -> 39 [size =\"22103040\"]\n  37 [size=\"44178773\", alpha=\"0.08\", expect_size=\"13253632\"] \n  37 -> 38 [size =\"13253632\"]\n  37 -> 40 [size =\"13253632\"]\n  38 [size=\"102461440\", alpha=\"0.08\", expect_size=\"30738432\"] \n  39 [size=\"62068053\", alpha=\"0.11\", expect_size=\"18620416\"] \n  39 -> 41 [size =\"18620416\"]\n  39 -> 42 [size =\"18620416\"]\n  40 [size=\"106291200\", alpha=\"0.07\", expect_size=\"31887360\"] \n  41 [size=\"166652587\", alpha=\"0.12\", expect_size=\"49995776\"] \n  41 -> 43 [size =\"49995776\"]\n  41 -> 44 [size =\"49995776\"]\n  42 [size=\"138915840\", alpha=\"0.10\", expect_size=\"41674752\"] \n  42 -> 45 [size =\"41674752\"]\n  43 [size=\"149947733\", alpha=\"0.18\", expect_size=\"44984320\"] \n  44 [size=\"69331627\", alpha=\"0.12\", expect_size=\"20799488\"] \n  44 -> 47 [size =\"20799488\"]\n  45 [size=\"67611307\", alpha=\"0.11\", expect_size=\"20283392\"] \n  45 -> 46 [size =\"20283392\"]\n  46 [size=\"80670720\", alpha=\"0.14\", expect_size=\"24201216\"] \n  46 -> 49 [size =\"24201216\"]\n  46 -> 50 [size =\"24201216\"]\n  47 [size=\"72864427\", alpha=\"0.13\", expect_size=\"21859328\"] \n  47 -> 48 [size =\"21859328\"]\n  47 -> 49 [size =\"21859328\"]\n  48 [size=\"137270613\", alpha=\"0.19\", expect_size=\"41181184\"] \n  49 [size=\"43711147\", alpha=\"0.08\", expect_size=\"13113344\"] \n  50 [size=\"128262827\", alpha=\"0.12\", expect_size=\"38478848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.358.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83949568\", alpha=\"0.11\", expect_size=\"41974784\"] \n  1 -> 40 [size =\"41974784\"]\n  1 -> 41 [size =\"41974784\"]\n  1 -> 46 [size =\"41974784\"]\n  1 -> 47 [size =\"41974784\"]\n  1 -> 49 [size =\"41974784\"]\n  2 [size=\"17960960\", alpha=\"0.17\", expect_size=\"8980480\"] \n  2 -> 40 [size =\"8980480\"]\n  2 -> 44 [size =\"8980480\"]\n  2 -> 47 [size =\"8980480\"]\n  3 [size=\"80076800\", alpha=\"0.19\", expect_size=\"40038400\"] \n  3 -> 40 [size =\"40038400\"]\n  3 -> 41 [size =\"40038400\"]\n  3 -> 49 [size =\"40038400\"]\n  4 [size=\"55678976\", alpha=\"0.04\", expect_size=\"27839488\"] \n  4 -> 40 [size =\"27839488\"]\n  4 -> 41 [size =\"27839488\"]\n  5 [size=\"99332096\", alpha=\"0.08\", expect_size=\"49666048\"] \n  5 -> 40 [size =\"49666048\"]\n  5 -> 41 [size =\"49666048\"]\n  6 [size=\"73914368\", alpha=\"0.17\", expect_size=\"36957184\"] \n  6 -> 39 [size =\"36957184\"]\n  6 -> 40 [size =\"36957184\"]\n  6 -> 41 [size =\"36957184\"]\n  6 -> 43 [size =\"36957184\"]\n  6 -> 47 [size =\"36957184\"]\n  6 -> 49 [size =\"36957184\"]\n  7 [size=\"31500288\", alpha=\"0.18\", expect_size=\"15750144\"] \n  7 -> 40 [size =\"15750144\"]\n  7 -> 40 [size =\"15750144\"]\n  7 -> 41 [size =\"15750144\"]\n  7 -> 47 [size =\"15750144\"]\n  7 -> 48 [size =\"15750144\"]\n  7 -> 49 [size =\"15750144\"]\n  7 -> 50 [size =\"15750144\"]\n  8 [size=\"85483520\", alpha=\"0.20\", expect_size=\"42741760\"] \n  8 -> 40 [size =\"42741760\"]\n  8 -> 44 [size =\"42741760\"]\n  8 -> 45 [size =\"42741760\"]\n  8 -> 47 [size =\"42741760\"]\n  8 -> 49 [size =\"42741760\"]\n  9 [size=\"87611392\", alpha=\"0.00\", expect_size=\"43805696\"] \n  9 -> 40 [size =\"43805696\"]\n  9 -> 41 [size =\"43805696\"]\n  10 [size=\"95635456\", alpha=\"0.16\", expect_size=\"47817728\"] \n  10 -> 40 [size =\"47817728\"]\n  10 -> 43 [size =\"47817728\"]\n  10 -> 44 [size =\"47817728\"]\n  10 -> 49 [size =\"47817728\"]\n  11 [size=\"48369664\", alpha=\"0.02\", expect_size=\"24184832\"] \n  11 -> 40 [size =\"24184832\"]\n  11 -> 44 [size =\"24184832\"]\n  11 -> 47 [size =\"24184832\"]\n  12 [size=\"100409344\", alpha=\"0.11\", expect_size=\"50204672\"] \n  12 -> 39 [size =\"50204672\"]\n  12 -> 43 [size =\"50204672\"]\n  12 -> 47 [size =\"50204672\"]\n  12 -> 49 [size =\"50204672\"]\n  12 -> 50 [size =\"50204672\"]\n  13 [size=\"85559296\", alpha=\"0.05\", expect_size=\"42779648\"] \n  13 -> 40 [size =\"42779648\"]\n  13 -> 41 [size =\"42779648\"]\n  13 -> 47 [size =\"42779648\"]\n  13 -> 49 [size =\"42779648\"]\n  14 [size=\"80289792\", alpha=\"0.08\", expect_size=\"40144896\"] \n  14 -> 39 [size =\"40144896\"]\n  14 -> 40 [size =\"40144896\"]\n  14 -> 42 [size =\"40144896\"]\n  14 -> 47 [size =\"40144896\"]\n  14 -> 49 [size =\"40144896\"]\n  15 [size=\"97150976\", alpha=\"0.15\", expect_size=\"48575488\"] \n  15 -> 40 [size =\"48575488\"]\n  15 -> 44 [size =\"48575488\"]\n  15 -> 46 [size =\"48575488\"]\n  15 -> 49 [size =\"48575488\"]\n  16 [size=\"40017920\", alpha=\"0.18\", expect_size=\"20008960\"] \n  16 -> 40 [size =\"20008960\"]\n  16 -> 43 [size =\"20008960\"]\n  16 -> 47 [size =\"20008960\"]\n  16 -> 50 [size =\"20008960\"]\n  17 [size=\"27475968\", alpha=\"0.09\", expect_size=\"13737984\"] \n  17 -> 40 [size =\"13737984\"]\n  17 -> 41 [size =\"13737984\"]\n  17 -> 43 [size =\"13737984\"]\n  17 -> 44 [size =\"13737984\"]\n  17 -> 45 [size =\"13737984\"]\n  17 -> 49 [size =\"13737984\"]\n  18 [size=\"17086464\", alpha=\"0.16\", expect_size=\"8543232\"] \n  18 -> 40 [size =\"8543232\"]\n  18 -> 43 [size =\"8543232\"]\n  18 -> 44 [size =\"8543232\"]\n  18 -> 47 [size =\"8543232\"]\n  18 -> 49 [size =\"8543232\"]\n  19 [size=\"15212544\", alpha=\"0.12\", expect_size=\"7606272\"] \n  19 -> 40 [size =\"7606272\"]\n  19 -> 44 [size =\"7606272\"]\n  19 -> 49 [size =\"7606272\"]\n  19 -> 50 [size =\"7606272\"]\n  20 [size=\"16887808\", alpha=\"0.17\", expect_size=\"8443904\"] \n  20 -> 40 [size =\"8443904\"]\n  20 -> 41 [size =\"8443904\"]\n  20 -> 47 [size =\"8443904\"]\n  20 -> 49 [size =\"8443904\"]\n  21 [size=\"94003200\", alpha=\"0.17\", expect_size=\"47001600\"] \n  21 -> 40 [size =\"47001600\"]\n  21 -> 43 [size =\"47001600\"]\n  21 -> 44 [size =\"47001600\"]\n  21 -> 47 [size =\"47001600\"]\n  21 -> 50 [size =\"47001600\"]\n  22 [size=\"104583168\", alpha=\"0.19\", expect_size=\"52291584\"] \n  22 -> 40 [size =\"52291584\"]\n  22 -> 41 [size =\"52291584\"]\n  22 -> 43 [size =\"52291584\"]\n  22 -> 44 [size =\"52291584\"]\n  22 -> 45 [size =\"52291584\"]\n  22 -> 47 [size =\"52291584\"]\n  23 [size=\"60985344\", alpha=\"0.16\", expect_size=\"30492672\"] \n  23 -> 39 [size =\"30492672\"]\n  23 -> 44 [size =\"30492672\"]\n  23 -> 48 [size =\"30492672\"]\n  24 [size=\"84762624\", alpha=\"0.03\", expect_size=\"42381312\"] \n  24 -> 40 [size =\"42381312\"]\n  24 -> 42 [size =\"42381312\"]\n  24 -> 48 [size =\"42381312\"]\n  25 [size=\"28782592\", alpha=\"0.08\", expect_size=\"14391296\"] \n  25 -> 40 [size =\"14391296\"]\n  25 -> 41 [size =\"14391296\"]\n  25 -> 44 [size =\"14391296\"]\n  25 -> 49 [size =\"14391296\"]\n  26 [size=\"97413120\", alpha=\"0.06\", expect_size=\"48706560\"] \n  26 -> 40 [size =\"48706560\"]\n  26 -> 41 [size =\"48706560\"]\n  26 -> 44 [size =\"48706560\"]\n  26 -> 45 [size =\"48706560\"]\n  26 -> 47 [size =\"48706560\"]\n  27 [size=\"86888448\", alpha=\"0.09\", expect_size=\"43444224\"] \n  27 -> 40 [size =\"43444224\"]\n  27 -> 47 [size =\"43444224\"]\n  28 [size=\"36759552\", alpha=\"0.08\", expect_size=\"18379776\"] \n  28 -> 40 [size =\"18379776\"]\n  28 -> 41 [size =\"18379776\"]\n  28 -> 47 [size =\"18379776\"]\n  29 [size=\"17440768\", alpha=\"0.04\", expect_size=\"8720384\"] \n  29 -> 40 [size =\"8720384\"]\n  29 -> 41 [size =\"8720384\"]\n  29 -> 47 [size =\"8720384\"]\n  30 [size=\"74364928\", alpha=\"0.17\", expect_size=\"37182464\"] \n  30 -> 39 [size =\"37182464\"]\n  30 -> 40 [size =\"37182464\"]\n  30 -> 41 [size =\"37182464\"]\n  30 -> 47 [size =\"37182464\"]\n  30 -> 49 [size =\"37182464\"]\n  31 [size=\"59930624\", alpha=\"0.19\", expect_size=\"29965312\"] \n  31 -> 40 [size =\"29965312\"]\n  31 -> 40 [size =\"29965312\"]\n  31 -> 47 [size =\"29965312\"]\n  31 -> 47 [size =\"29965312\"]\n  31 -> 48 [size =\"29965312\"]\n  32 [size=\"47601664\", alpha=\"0.19\", expect_size=\"23800832\"] \n  32 -> 40 [size =\"23800832\"]\n  32 -> 42 [size =\"23800832\"]\n  32 -> 43 [size =\"23800832\"]\n  32 -> 44 [size =\"23800832\"]\n  32 -> 49 [size =\"23800832\"]\n  33 [size=\"44855296\", alpha=\"0.15\", expect_size=\"22427648\"] \n  33 -> 44 [size =\"22427648\"]\n  33 -> 45 [size =\"22427648\"]\n  33 -> 46 [size =\"22427648\"]\n  33 -> 49 [size =\"22427648\"]\n  34 [size=\"26910720\", alpha=\"0.06\", expect_size=\"13455360\"] \n  34 -> 39 [size =\"13455360\"]\n  34 -> 41 [size =\"13455360\"]\n  34 -> 44 [size =\"13455360\"]\n  34 -> 49 [size =\"13455360\"]\n  35 [size=\"38963200\", alpha=\"0.16\", expect_size=\"19481600\"] \n  35 -> 39 [size =\"19481600\"]\n  35 -> 41 [size =\"19481600\"]\n  35 -> 43 [size =\"19481600\"]\n  36 [size=\"75489280\", alpha=\"0.12\", expect_size=\"37744640\"] \n  36 -> 40 [size =\"37744640\"]\n  36 -> 42 [size =\"37744640\"]\n  36 -> 43 [size =\"37744640\"]\n  36 -> 48 [size =\"37744640\"]\n  37 [size=\"11171840\", alpha=\"0.11\", expect_size=\"5585920\"] \n  37 -> 43 [size =\"5585920\"]\n  37 -> 47 [size =\"5585920\"]\n  38 [size=\"55771136\", alpha=\"0.12\", expect_size=\"27885568\"] \n  38 -> 40 [size =\"27885568\"]\n  38 -> 42 [size =\"27885568\"]\n  38 -> 47 [size =\"27885568\"]\n  39 [size=\"95543296\", alpha=\"0.14\", expect_size=\"47771648\"] \n  40 [size=\"18868224\", alpha=\"0.17\", expect_size=\"9434112\"] \n  41 [size=\"99641344\", alpha=\"0.18\", expect_size=\"49820672\"] \n  42 [size=\"92631040\", alpha=\"0.19\", expect_size=\"46315520\"] \n  43 [size=\"87762944\", alpha=\"0.10\", expect_size=\"43881472\"] \n  44 [size=\"65740800\", alpha=\"0.17\", expect_size=\"32870400\"] \n  45 [size=\"96366592\", alpha=\"0.08\", expect_size=\"48183296\"] \n  46 [size=\"77563904\", alpha=\"0.18\", expect_size=\"38781952\"] \n  47 [size=\"38868992\", alpha=\"0.04\", expect_size=\"19434496\"] \n  48 [size=\"91641856\", alpha=\"0.15\", expect_size=\"45820928\"] \n  49 [size=\"53741568\", alpha=\"0.08\", expect_size=\"26870784\"] \n  50 [size=\"24270848\", alpha=\"0.14\", expect_size=\"12135424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.359.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74321920\", alpha=\"0.10\", expect_size=\"22296576\"] \n  1 -> 23 [size =\"22296576\"]\n  1 -> 25 [size =\"22296576\"]\n  1 -> 26 [size =\"22296576\"]\n  1 -> 27 [size =\"22296576\"]\n  1 -> 31 [size =\"22296576\"]\n  1 -> 32 [size =\"22296576\"]\n  1 -> 33 [size =\"22296576\"]\n  1 -> 38 [size =\"22296576\"]\n  2 [size=\"54797653\", alpha=\"0.10\", expect_size=\"16439296\"] \n  2 -> 23 [size =\"16439296\"]\n  2 -> 24 [size =\"16439296\"]\n  2 -> 25 [size =\"16439296\"]\n  2 -> 26 [size =\"16439296\"]\n  2 -> 27 [size =\"16439296\"]\n  2 -> 30 [size =\"16439296\"]\n  2 -> 31 [size =\"16439296\"]\n  2 -> 32 [size =\"16439296\"]\n  2 -> 36 [size =\"16439296\"]\n  2 -> 37 [size =\"16439296\"]\n  3 [size=\"93624320\", alpha=\"0.07\", expect_size=\"28087296\"] \n  3 -> 22 [size =\"28087296\"]\n  3 -> 23 [size =\"28087296\"]\n  3 -> 26 [size =\"28087296\"]\n  3 -> 26 [size =\"28087296\"]\n  3 -> 32 [size =\"28087296\"]\n  3 -> 38 [size =\"28087296\"]\n  4 [size=\"72205653\", alpha=\"0.04\", expect_size=\"21661696\"] \n  4 -> 22 [size =\"21661696\"]\n  4 -> 23 [size =\"21661696\"]\n  4 -> 24 [size =\"21661696\"]\n  4 -> 26 [size =\"21661696\"]\n  4 -> 27 [size =\"21661696\"]\n  4 -> 30 [size =\"21661696\"]\n  4 -> 32 [size =\"21661696\"]\n  5 [size=\"167888213\", alpha=\"0.05\", expect_size=\"50366464\"] \n  5 -> 22 [size =\"50366464\"]\n  5 -> 23 [size =\"50366464\"]\n  5 -> 24 [size =\"50366464\"]\n  5 -> 25 [size =\"50366464\"]\n  5 -> 27 [size =\"50366464\"]\n  5 -> 29 [size =\"50366464\"]\n  5 -> 31 [size =\"50366464\"]\n  5 -> 32 [size =\"50366464\"]\n  5 -> 38 [size =\"50366464\"]\n  6 [size=\"154784427\", alpha=\"0.00\", expect_size=\"46435328\"] \n  6 -> 22 [size =\"46435328\"]\n  6 -> 28 [size =\"46435328\"]\n  6 -> 29 [size =\"46435328\"]\n  6 -> 30 [size =\"46435328\"]\n  6 -> 32 [size =\"46435328\"]\n  7 [size=\"99717120\", alpha=\"0.01\", expect_size=\"29915136\"] \n  7 -> 23 [size =\"29915136\"]\n  7 -> 27 [size =\"29915136\"]\n  7 -> 29 [size =\"29915136\"]\n  7 -> 30 [size =\"29915136\"]\n  7 -> 31 [size =\"29915136\"]\n  7 -> 38 [size =\"29915136\"]\n  8 [size=\"166509227\", alpha=\"0.19\", expect_size=\"49952768\"] \n  8 -> 22 [size =\"49952768\"]\n  8 -> 24 [size =\"49952768\"]\n  8 -> 27 [size =\"49952768\"]\n  8 -> 28 [size =\"49952768\"]\n  8 -> 29 [size =\"49952768\"]\n  8 -> 31 [size =\"49952768\"]\n  9 [size=\"69485227\", alpha=\"0.13\", expect_size=\"20845568\"] \n  9 -> 25 [size =\"20845568\"]\n  9 -> 29 [size =\"20845568\"]\n  9 -> 30 [size =\"20845568\"]\n  9 -> 31 [size =\"20845568\"]\n  9 -> 35 [size =\"20845568\"]\n  9 -> 36 [size =\"20845568\"]\n  10 [size=\"50831360\", alpha=\"0.16\", expect_size=\"15249408\"] \n  10 -> 21 [size =\"15249408\"]\n  10 -> 22 [size =\"15249408\"]\n  10 -> 24 [size =\"15249408\"]\n  10 -> 26 [size =\"15249408\"]\n  10 -> 30 [size =\"15249408\"]\n  10 -> 31 [size =\"15249408\"]\n  10 -> 36 [size =\"15249408\"]\n  11 [size=\"170905600\", alpha=\"0.11\", expect_size=\"51271680\"] \n  11 -> 22 [size =\"51271680\"]\n  11 -> 26 [size =\"51271680\"]\n  11 -> 27 [size =\"51271680\"]\n  11 -> 28 [size =\"51271680\"]\n  11 -> 31 [size =\"51271680\"]\n  11 -> 34 [size =\"51271680\"]\n  11 -> 38 [size =\"51271680\"]\n  12 [size=\"95184213\", alpha=\"0.15\", expect_size=\"28555264\"] \n  12 -> 22 [size =\"28555264\"]\n  12 -> 25 [size =\"28555264\"]\n  12 -> 30 [size =\"28555264\"]\n  12 -> 34 [size =\"28555264\"]\n  12 -> 36 [size =\"28555264\"]\n  12 -> 38 [size =\"28555264\"]\n  13 [size=\"170571093\", alpha=\"0.04\", expect_size=\"51171328\"] \n  13 -> 26 [size =\"51171328\"]\n  13 -> 36 [size =\"51171328\"]\n  13 -> 38 [size =\"51171328\"]\n  14 [size=\"71826773\", alpha=\"0.03\", expect_size=\"21548032\"] \n  14 -> 27 [size =\"21548032\"]\n  14 -> 32 [size =\"21548032\"]\n  14 -> 36 [size =\"21548032\"]\n  15 [size=\"105666560\", alpha=\"0.12\", expect_size=\"31699968\"] \n  15 -> 22 [size =\"31699968\"]\n  15 -> 26 [size =\"31699968\"]\n  15 -> 28 [size =\"31699968\"]\n  15 -> 29 [size =\"31699968\"]\n  15 -> 32 [size =\"31699968\"]\n  15 -> 35 [size =\"31699968\"]\n  15 -> 38 [size =\"31699968\"]\n  16 [size=\"146507093\", alpha=\"0.02\", expect_size=\"43952128\"] \n  16 -> 22 [size =\"43952128\"]\n  16 -> 24 [size =\"43952128\"]\n  16 -> 28 [size =\"43952128\"]\n  16 -> 31 [size =\"43952128\"]\n  16 -> 32 [size =\"43952128\"]\n  16 -> 36 [size =\"43952128\"]\n  16 -> 38 [size =\"43952128\"]\n  17 [size=\"148903253\", alpha=\"0.00\", expect_size=\"44670976\"] \n  17 -> 22 [size =\"44670976\"]\n  17 -> 23 [size =\"44670976\"]\n  17 -> 25 [size =\"44670976\"]\n  17 -> 27 [size =\"44670976\"]\n  17 -> 32 [size =\"44670976\"]\n  17 -> 35 [size =\"44670976\"]\n  17 -> 37 [size =\"44670976\"]\n  18 [size=\"155429547\", alpha=\"0.10\", expect_size=\"46628864\"] \n  18 -> 28 [size =\"46628864\"]\n  18 -> 29 [size =\"46628864\"]\n  18 -> 30 [size =\"46628864\"]\n  18 -> 35 [size =\"46628864\"]\n  18 -> 36 [size =\"46628864\"]\n  18 -> 37 [size =\"46628864\"]\n  18 -> 38 [size =\"46628864\"]\n  19 [size=\"143674027\", alpha=\"0.07\", expect_size=\"43102208\"] \n  19 -> 27 [size =\"43102208\"]\n  19 -> 28 [size =\"43102208\"]\n  19 -> 38 [size =\"43102208\"]\n  20 [size=\"85210453\", alpha=\"0.20\", expect_size=\"25563136\"] \n  20 -> 23 [size =\"25563136\"]\n  20 -> 27 [size =\"25563136\"]\n  20 -> 28 [size =\"25563136\"]\n  20 -> 30 [size =\"25563136\"]\n  20 -> 34 [size =\"25563136\"]\n  20 -> 36 [size =\"25563136\"]\n  20 -> 38 [size =\"25563136\"]\n  21 [size=\"57070933\", alpha=\"0.19\", expect_size=\"17121280\"] \n  21 -> 40 [size =\"17121280\"]\n  21 -> 41 [size =\"17121280\"]\n  21 -> 43 [size =\"17121280\"]\n  21 -> 46 [size =\"17121280\"]\n  22 [size=\"146783573\", alpha=\"0.04\", expect_size=\"44035072\"] \n  22 -> 44 [size =\"44035072\"]\n  22 -> 48 [size =\"44035072\"]\n  23 [size=\"104837120\", alpha=\"0.18\", expect_size=\"31451136\"] \n  23 -> 39 [size =\"31451136\"]\n  23 -> 46 [size =\"31451136\"]\n  23 -> 48 [size =\"31451136\"]\n  24 [size=\"137659733\", alpha=\"0.19\", expect_size=\"41297920\"] \n  24 -> 48 [size =\"41297920\"]\n  25 [size=\"159337813\", alpha=\"0.19\", expect_size=\"47801344\"] \n  25 -> 46 [size =\"47801344\"]\n  26 [size=\"99287040\", alpha=\"0.16\", expect_size=\"29786112\"] \n  26 -> 39 [size =\"29786112\"]\n  26 -> 46 [size =\"29786112\"]\n  26 -> 48 [size =\"29786112\"]\n  27 [size=\"111315627\", alpha=\"0.05\", expect_size=\"33394688\"] \n  27 -> 45 [size =\"33394688\"]\n  27 -> 46 [size =\"33394688\"]\n  27 -> 48 [size =\"33394688\"]\n  28 [size=\"112377173\", alpha=\"0.12\", expect_size=\"33713152\"] \n  28 -> 40 [size =\"33713152\"]\n  28 -> 46 [size =\"33713152\"]\n  28 -> 48 [size =\"33713152\"]\n  29 [size=\"30590293\", alpha=\"0.05\", expect_size=\"9177088\"] \n  29 -> 46 [size =\"9177088\"]\n  30 [size=\"86572373\", alpha=\"0.03\", expect_size=\"25971712\"] \n  30 -> 39 [size =\"25971712\"]\n  30 -> 46 [size =\"25971712\"]\n  30 -> 48 [size =\"25971712\"]\n  31 [size=\"82923520\", alpha=\"0.00\", expect_size=\"24877056\"] \n  31 -> 40 [size =\"24877056\"]\n  31 -> 45 [size =\"24877056\"]\n  31 -> 46 [size =\"24877056\"]\n  31 -> 48 [size =\"24877056\"]\n  32 [size=\"76489387\", alpha=\"0.08\", expect_size=\"22946816\"] \n  32 -> 41 [size =\"22946816\"]\n  32 -> 42 [size =\"22946816\"]\n  32 -> 46 [size =\"22946816\"]\n  33 [size=\"104594773\", alpha=\"0.15\", expect_size=\"31378432\"] \n  33 -> 45 [size =\"31378432\"]\n  33 -> 47 [size =\"31378432\"]\n  33 -> 48 [size =\"31378432\"]\n  34 [size=\"86097920\", alpha=\"0.08\", expect_size=\"25829376\"] \n  34 -> 41 [size =\"25829376\"]\n  34 -> 42 [size =\"25829376\"]\n  34 -> 43 [size =\"25829376\"]\n  35 [size=\"75731627\", alpha=\"0.13\", expect_size=\"22719488\"] \n  35 -> 41 [size =\"22719488\"]\n  35 -> 46 [size =\"22719488\"]\n  36 [size=\"66624853\", alpha=\"0.14\", expect_size=\"19987456\"] \n  36 -> 43 [size =\"19987456\"]\n  37 [size=\"38799360\", alpha=\"0.12\", expect_size=\"11639808\"] \n  37 -> 39 [size =\"11639808\"]\n  37 -> 43 [size =\"11639808\"]\n  37 -> 45 [size =\"11639808\"]\n  38 [size=\"74496000\", alpha=\"0.08\", expect_size=\"22348800\"] \n  38 -> 39 [size =\"22348800\"]\n  38 -> 40 [size =\"22348800\"]\n  38 -> 45 [size =\"22348800\"]\n  38 -> 47 [size =\"22348800\"]\n  39 [size=\"165471573\", alpha=\"0.19\", expect_size=\"49641472\"] \n  39 -> 49 [size =\"49641472\"]\n  40 [size=\"49155413\", alpha=\"0.20\", expect_size=\"14746624\"] \n  41 [size=\"73478827\", alpha=\"0.05\", expect_size=\"22043648\"] \n  42 [size=\"77305173\", alpha=\"0.06\", expect_size=\"23191552\"] \n  42 -> 49 [size =\"23191552\"]\n  43 [size=\"138338987\", alpha=\"0.19\", expect_size=\"41501696\"] \n  43 -> 49 [size =\"41501696\"]\n  44 [size=\"95112533\", alpha=\"0.07\", expect_size=\"28533760\"] \n  44 -> 49 [size =\"28533760\"]\n  44 -> 50 [size =\"28533760\"]\n  45 [size=\"159255893\", alpha=\"0.13\", expect_size=\"47776768\"] \n  45 -> 49 [size =\"47776768\"]\n  46 [size=\"104393387\", alpha=\"0.10\", expect_size=\"31318016\"] \n  46 -> 49 [size =\"31318016\"]\n  46 -> 50 [size =\"31318016\"]\n  47 [size=\"59559253\", alpha=\"0.18\", expect_size=\"17867776\"] \n  48 [size=\"156177067\", alpha=\"0.19\", expect_size=\"46853120\"] \n  49 [size=\"60340907\", alpha=\"0.01\", expect_size=\"18102272\"] \n  50 [size=\"55541760\", alpha=\"0.12\", expect_size=\"16662528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62558208\", alpha=\"0.15\", expect_size=\"31279104\"] \n  1 -> 22 [size =\"31279104\"]\n  1 -> 22 [size =\"31279104\"]\n  1 -> 30 [size =\"31279104\"]\n  1 -> 36 [size =\"31279104\"]\n  1 -> 37 [size =\"31279104\"]\n  1 -> 38 [size =\"31279104\"]\n  2 [size=\"22915072\", alpha=\"0.10\", expect_size=\"11457536\"] \n  2 -> 27 [size =\"11457536\"]\n  2 -> 29 [size =\"11457536\"]\n  2 -> 33 [size =\"11457536\"]\n  2 -> 37 [size =\"11457536\"]\n  2 -> 38 [size =\"11457536\"]\n  3 [size=\"35983360\", alpha=\"0.08\", expect_size=\"17991680\"] \n  3 -> 21 [size =\"17991680\"]\n  3 -> 22 [size =\"17991680\"]\n  3 -> 26 [size =\"17991680\"]\n  3 -> 27 [size =\"17991680\"]\n  3 -> 29 [size =\"17991680\"]\n  3 -> 33 [size =\"17991680\"]\n  3 -> 36 [size =\"17991680\"]\n  3 -> 37 [size =\"17991680\"]\n  3 -> 38 [size =\"17991680\"]\n  4 [size=\"77670400\", alpha=\"0.08\", expect_size=\"38835200\"] \n  4 -> 21 [size =\"38835200\"]\n  4 -> 22 [size =\"38835200\"]\n  4 -> 25 [size =\"38835200\"]\n  4 -> 27 [size =\"38835200\"]\n  4 -> 29 [size =\"38835200\"]\n  4 -> 32 [size =\"38835200\"]\n  4 -> 33 [size =\"38835200\"]\n  4 -> 34 [size =\"38835200\"]\n  4 -> 36 [size =\"38835200\"]\n  4 -> 37 [size =\"38835200\"]\n  4 -> 38 [size =\"38835200\"]\n  5 [size=\"59652096\", alpha=\"0.13\", expect_size=\"29826048\"] \n  5 -> 19 [size =\"29826048\"]\n  5 -> 21 [size =\"29826048\"]\n  5 -> 22 [size =\"29826048\"]\n  5 -> 25 [size =\"29826048\"]\n  5 -> 32 [size =\"29826048\"]\n  5 -> 33 [size =\"29826048\"]\n  5 -> 36 [size =\"29826048\"]\n  6 [size=\"32835584\", alpha=\"0.05\", expect_size=\"16417792\"] \n  6 -> 19 [size =\"16417792\"]\n  6 -> 21 [size =\"16417792\"]\n  6 -> 22 [size =\"16417792\"]\n  6 -> 25 [size =\"16417792\"]\n  6 -> 27 [size =\"16417792\"]\n  6 -> 32 [size =\"16417792\"]\n  6 -> 39 [size =\"16417792\"]\n  7 [size=\"65456128\", alpha=\"0.09\", expect_size=\"32728064\"] \n  7 -> 20 [size =\"32728064\"]\n  7 -> 22 [size =\"32728064\"]\n  7 -> 27 [size =\"32728064\"]\n  7 -> 37 [size =\"32728064\"]\n  8 [size=\"80498688\", alpha=\"0.13\", expect_size=\"40249344\"] \n  8 -> 20 [size =\"40249344\"]\n  8 -> 26 [size =\"40249344\"]\n  8 -> 27 [size =\"40249344\"]\n  8 -> 28 [size =\"40249344\"]\n  8 -> 31 [size =\"40249344\"]\n  8 -> 32 [size =\"40249344\"]\n  8 -> 38 [size =\"40249344\"]\n  8 -> 39 [size =\"40249344\"]\n  9 [size=\"41775104\", alpha=\"0.04\", expect_size=\"20887552\"] \n  9 -> 21 [size =\"20887552\"]\n  9 -> 33 [size =\"20887552\"]\n  9 -> 39 [size =\"20887552\"]\n  10 [size=\"89245696\", alpha=\"0.03\", expect_size=\"44622848\"] \n  10 -> 22 [size =\"44622848\"]\n  10 -> 24 [size =\"44622848\"]\n  10 -> 33 [size =\"44622848\"]\n  11 [size=\"76597248\", alpha=\"0.10\", expect_size=\"38298624\"] \n  11 -> 21 [size =\"38298624\"]\n  11 -> 24 [size =\"38298624\"]\n  11 -> 25 [size =\"38298624\"]\n  11 -> 26 [size =\"38298624\"]\n  11 -> 33 [size =\"38298624\"]\n  11 -> 34 [size =\"38298624\"]\n  11 -> 36 [size =\"38298624\"]\n  11 -> 39 [size =\"38298624\"]\n  12 [size=\"55001088\", alpha=\"0.08\", expect_size=\"27500544\"] \n  12 -> 24 [size =\"27500544\"]\n  12 -> 25 [size =\"27500544\"]\n  12 -> 27 [size =\"27500544\"]\n  12 -> 37 [size =\"27500544\"]\n  12 -> 38 [size =\"27500544\"]\n  13 [size=\"100179968\", alpha=\"0.14\", expect_size=\"50089984\"] \n  13 -> 19 [size =\"50089984\"]\n  13 -> 24 [size =\"50089984\"]\n  13 -> 25 [size =\"50089984\"]\n  13 -> 27 [size =\"50089984\"]\n  13 -> 30 [size =\"50089984\"]\n  13 -> 32 [size =\"50089984\"]\n  13 -> 33 [size =\"50089984\"]\n  13 -> 36 [size =\"50089984\"]\n  13 -> 37 [size =\"50089984\"]\n  13 -> 39 [size =\"50089984\"]\n  14 [size=\"44531712\", alpha=\"0.16\", expect_size=\"22265856\"] \n  14 -> 19 [size =\"22265856\"]\n  14 -> 20 [size =\"22265856\"]\n  14 -> 23 [size =\"22265856\"]\n  14 -> 24 [size =\"22265856\"]\n  14 -> 27 [size =\"22265856\"]\n  14 -> 28 [size =\"22265856\"]\n  14 -> 30 [size =\"22265856\"]\n  14 -> 32 [size =\"22265856\"]\n  14 -> 33 [size =\"22265856\"]\n  14 -> 35 [size =\"22265856\"]\n  14 -> 37 [size =\"22265856\"]\n  14 -> 38 [size =\"22265856\"]\n  14 -> 39 [size =\"22265856\"]\n  15 [size=\"81328128\", alpha=\"0.16\", expect_size=\"40664064\"] \n  15 -> 24 [size =\"40664064\"]\n  15 -> 28 [size =\"40664064\"]\n  16 [size=\"49225728\", alpha=\"0.03\", expect_size=\"24612864\"] \n  16 -> 19 [size =\"24612864\"]\n  16 -> 21 [size =\"24612864\"]\n  16 -> 22 [size =\"24612864\"]\n  16 -> 24 [size =\"24612864\"]\n  16 -> 28 [size =\"24612864\"]\n  16 -> 30 [size =\"24612864\"]\n  16 -> 31 [size =\"24612864\"]\n  16 -> 32 [size =\"24612864\"]\n  16 -> 33 [size =\"24612864\"]\n  16 -> 36 [size =\"24612864\"]\n  16 -> 39 [size =\"24612864\"]\n  17 [size=\"73295872\", alpha=\"0.18\", expect_size=\"36647936\"] \n  17 -> 20 [size =\"36647936\"]\n  17 -> 21 [size =\"36647936\"]\n  17 -> 24 [size =\"36647936\"]\n  17 -> 31 [size =\"36647936\"]\n  17 -> 32 [size =\"36647936\"]\n  17 -> 34 [size =\"36647936\"]\n  17 -> 36 [size =\"36647936\"]\n  17 -> 37 [size =\"36647936\"]\n  17 -> 38 [size =\"36647936\"]\n  18 [size=\"19585024\", alpha=\"0.15\", expect_size=\"9792512\"] \n  18 -> 21 [size =\"9792512\"]\n  18 -> 22 [size =\"9792512\"]\n  18 -> 30 [size =\"9792512\"]\n  18 -> 32 [size =\"9792512\"]\n  18 -> 33 [size =\"9792512\"]\n  18 -> 36 [size =\"9792512\"]\n  18 -> 38 [size =\"9792512\"]\n  18 -> 39 [size =\"9792512\"]\n  19 [size=\"83030016\", alpha=\"0.13\", expect_size=\"41515008\"] \n  19 -> 41 [size =\"41515008\"]\n  20 [size=\"103368704\", alpha=\"0.06\", expect_size=\"51684352\"] \n  20 -> 41 [size =\"51684352\"]\n  20 -> 47 [size =\"51684352\"]\n  21 [size=\"21655552\", alpha=\"0.10\", expect_size=\"10827776\"] \n  22 [size=\"69558272\", alpha=\"0.16\", expect_size=\"34779136\"] \n  22 -> 43 [size =\"34779136\"]\n  22 -> 44 [size =\"34779136\"]\n  23 [size=\"11759616\", alpha=\"0.08\", expect_size=\"5879808\"] \n  23 -> 40 [size =\"5879808\"]\n  23 -> 41 [size =\"5879808\"]\n  23 -> 43 [size =\"5879808\"]\n  23 -> 48 [size =\"5879808\"]\n  24 [size=\"77416448\", alpha=\"0.14\", expect_size=\"38708224\"] \n  24 -> 43 [size =\"38708224\"]\n  24 -> 47 [size =\"38708224\"]\n  24 -> 48 [size =\"38708224\"]\n  25 [size=\"56653824\", alpha=\"0.10\", expect_size=\"28326912\"] \n  25 -> 45 [size =\"28326912\"]\n  26 [size=\"38936576\", alpha=\"0.12\", expect_size=\"19468288\"] \n  26 -> 47 [size =\"19468288\"]\n  26 -> 50 [size =\"19468288\"]\n  27 [size=\"51662848\", alpha=\"0.04\", expect_size=\"25831424\"] \n  27 -> 45 [size =\"25831424\"]\n  27 -> 47 [size =\"25831424\"]\n  27 -> 50 [size =\"25831424\"]\n  28 [size=\"39866368\", alpha=\"0.12\", expect_size=\"19933184\"] \n  28 -> 41 [size =\"19933184\"]\n  28 -> 43 [size =\"19933184\"]\n  28 -> 47 [size =\"19933184\"]\n  29 [size=\"16152576\", alpha=\"0.06\", expect_size=\"8076288\"] \n  29 -> 40 [size =\"8076288\"]\n  29 -> 41 [size =\"8076288\"]\n  29 -> 45 [size =\"8076288\"]\n  30 [size=\"79159296\", alpha=\"0.17\", expect_size=\"39579648\"] \n  30 -> 41 [size =\"39579648\"]\n  30 -> 45 [size =\"39579648\"]\n  30 -> 46 [size =\"39579648\"]\n  30 -> 47 [size =\"39579648\"]\n  30 -> 48 [size =\"39579648\"]\n  31 [size=\"13424640\", alpha=\"0.02\", expect_size=\"6712320\"] \n  31 -> 45 [size =\"6712320\"]\n  31 -> 46 [size =\"6712320\"]\n  31 -> 50 [size =\"6712320\"]\n  32 [size=\"59762688\", alpha=\"0.17\", expect_size=\"29881344\"] \n  33 [size=\"41865216\", alpha=\"0.10\", expect_size=\"20932608\"] \n  33 -> 42 [size =\"20932608\"]\n  33 -> 45 [size =\"20932608\"]\n  34 [size=\"79597568\", alpha=\"0.11\", expect_size=\"39798784\"] \n  34 -> 43 [size =\"39798784\"]\n  34 -> 44 [size =\"39798784\"]\n  35 [size=\"51402752\", alpha=\"0.07\", expect_size=\"25701376\"] \n  35 -> 43 [size =\"25701376\"]\n  35 -> 45 [size =\"25701376\"]\n  35 -> 48 [size =\"25701376\"]\n  36 [size=\"100820992\", alpha=\"0.11\", expect_size=\"50410496\"] \n  36 -> 40 [size =\"50410496\"]\n  36 -> 43 [size =\"50410496\"]\n  36 -> 45 [size =\"50410496\"]\n  36 -> 47 [size =\"50410496\"]\n  37 [size=\"61460480\", alpha=\"0.08\", expect_size=\"30730240\"] \n  37 -> 41 [size =\"30730240\"]\n  37 -> 45 [size =\"30730240\"]\n  37 -> 48 [size =\"30730240\"]\n  37 -> 49 [size =\"30730240\"]\n  38 [size=\"82663424\", alpha=\"0.07\", expect_size=\"41331712\"] \n  38 -> 40 [size =\"41331712\"]\n  38 -> 44 [size =\"41331712\"]\n  38 -> 47 [size =\"41331712\"]\n  39 [size=\"45699072\", alpha=\"0.01\", expect_size=\"22849536\"] \n  39 -> 43 [size =\"22849536\"]\n  39 -> 45 [size =\"22849536\"]\n  39 -> 50 [size =\"22849536\"]\n  40 [size=\"76232704\", alpha=\"0.16\", expect_size=\"38116352\"] \n  41 [size=\"64278528\", alpha=\"0.12\", expect_size=\"32139264\"] \n  42 [size=\"75952128\", alpha=\"0.01\", expect_size=\"37976064\"] \n  43 [size=\"61396992\", alpha=\"0.11\", expect_size=\"30698496\"] \n  44 [size=\"15935488\", alpha=\"0.14\", expect_size=\"7967744\"] \n  45 [size=\"67985408\", alpha=\"0.07\", expect_size=\"33992704\"] \n  46 [size=\"99647488\", alpha=\"0.07\", expect_size=\"49823744\"] \n  47 [size=\"55291904\", alpha=\"0.15\", expect_size=\"27645952\"] \n  48 [size=\"92098560\", alpha=\"0.09\", expect_size=\"46049280\"] \n  49 [size=\"30425088\", alpha=\"0.05\", expect_size=\"15212544\"] \n  50 [size=\"37191680\", alpha=\"0.15\", expect_size=\"18595840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.360.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53497173\", alpha=\"0.05\", expect_size=\"16049152\"] \n  1 -> 22 [size =\"16049152\"]\n  1 -> 23 [size =\"16049152\"]\n  1 -> 26 [size =\"16049152\"]\n  2 [size=\"68881067\", alpha=\"0.13\", expect_size=\"20664320\"] \n  2 -> 17 [size =\"20664320\"]\n  2 -> 18 [size =\"20664320\"]\n  2 -> 19 [size =\"20664320\"]\n  2 -> 22 [size =\"20664320\"]\n  2 -> 23 [size =\"20664320\"]\n  3 [size=\"17872213\", alpha=\"0.03\", expect_size=\"5361664\"] \n  3 -> 21 [size =\"5361664\"]\n  3 -> 23 [size =\"5361664\"]\n  4 [size=\"167034880\", alpha=\"0.03\", expect_size=\"50110464\"] \n  4 -> 17 [size =\"50110464\"]\n  4 -> 19 [size =\"50110464\"]\n  4 -> 21 [size =\"50110464\"]\n  4 -> 23 [size =\"50110464\"]\n  4 -> 24 [size =\"50110464\"]\n  5 [size=\"146264747\", alpha=\"0.13\", expect_size=\"43879424\"] \n  5 -> 16 [size =\"43879424\"]\n  5 -> 25 [size =\"43879424\"]\n  6 [size=\"126928213\", alpha=\"0.12\", expect_size=\"38078464\"] \n  6 -> 18 [size =\"38078464\"]\n  6 -> 19 [size =\"38078464\"]\n  6 -> 22 [size =\"38078464\"]\n  6 -> 25 [size =\"38078464\"]\n  7 [size=\"84732587\", alpha=\"0.10\", expect_size=\"25419776\"] \n  7 -> 21 [size =\"25419776\"]\n  7 -> 23 [size =\"25419776\"]\n  7 -> 26 [size =\"25419776\"]\n  8 [size=\"159832747\", alpha=\"0.16\", expect_size=\"47949824\"] \n  8 -> 17 [size =\"47949824\"]\n  8 -> 18 [size =\"47949824\"]\n  8 -> 19 [size =\"47949824\"]\n  8 -> 20 [size =\"47949824\"]\n  8 -> 22 [size =\"47949824\"]\n  8 -> 26 [size =\"47949824\"]\n  9 [size=\"19742720\", alpha=\"0.17\", expect_size=\"5922816\"] \n  9 -> 17 [size =\"5922816\"]\n  9 -> 20 [size =\"5922816\"]\n  9 -> 23 [size =\"5922816\"]\n  10 [size=\"113766400\", alpha=\"0.13\", expect_size=\"34129920\"] \n  10 -> 24 [size =\"34129920\"]\n  10 -> 26 [size =\"34129920\"]\n  11 [size=\"19886080\", alpha=\"0.17\", expect_size=\"5965824\"] \n  11 -> 19 [size =\"5965824\"]\n  11 -> 22 [size =\"5965824\"]\n  12 [size=\"57634133\", alpha=\"0.12\", expect_size=\"17290240\"] \n  12 -> 22 [size =\"17290240\"]\n  13 [size=\"159528960\", alpha=\"0.08\", expect_size=\"47858688\"] \n  13 -> 22 [size =\"47858688\"]\n  14 [size=\"29576533\", alpha=\"0.16\", expect_size=\"8872960\"] \n  14 -> 19 [size =\"8872960\"]\n  14 -> 21 [size =\"8872960\"]\n  14 -> 25 [size =\"8872960\"]\n  14 -> 26 [size =\"8872960\"]\n  15 [size=\"50510507\", alpha=\"0.07\", expect_size=\"15153152\"] \n  15 -> 17 [size =\"15153152\"]\n  15 -> 19 [size =\"15153152\"]\n  15 -> 25 [size =\"15153152\"]\n  15 -> 26 [size =\"15153152\"]\n  16 [size=\"151889920\", alpha=\"0.19\", expect_size=\"45566976\"] \n  16 -> 28 [size =\"45566976\"]\n  16 -> 30 [size =\"45566976\"]\n  16 -> 37 [size =\"45566976\"]\n  17 [size=\"92402347\", alpha=\"0.02\", expect_size=\"27720704\"] \n  17 -> 30 [size =\"27720704\"]\n  17 -> 31 [size =\"27720704\"]\n  17 -> 35 [size =\"27720704\"]\n  17 -> 38 [size =\"27720704\"]\n  17 -> 40 [size =\"27720704\"]\n  18 [size=\"170786133\", alpha=\"0.20\", expect_size=\"51235840\"] \n  18 -> 31 [size =\"51235840\"]\n  18 -> 36 [size =\"51235840\"]\n  18 -> 38 [size =\"51235840\"]\n  18 -> 41 [size =\"51235840\"]\n  19 [size=\"141438293\", alpha=\"0.20\", expect_size=\"42431488\"] \n  19 -> 29 [size =\"42431488\"]\n  19 -> 31 [size =\"42431488\"]\n  19 -> 32 [size =\"42431488\"]\n  19 -> 38 [size =\"42431488\"]\n  19 -> 40 [size =\"42431488\"]\n  20 [size=\"118906880\", alpha=\"0.01\", expect_size=\"35672064\"] \n  20 -> 27 [size =\"35672064\"]\n  20 -> 28 [size =\"35672064\"]\n  20 -> 31 [size =\"35672064\"]\n  20 -> 35 [size =\"35672064\"]\n  20 -> 40 [size =\"35672064\"]\n  20 -> 42 [size =\"35672064\"]\n  21 [size=\"64481280\", alpha=\"0.07\", expect_size=\"19344384\"] \n  21 -> 27 [size =\"19344384\"]\n  21 -> 30 [size =\"19344384\"]\n  21 -> 37 [size =\"19344384\"]\n  21 -> 39 [size =\"19344384\"]\n  21 -> 41 [size =\"19344384\"]\n  22 [size=\"39915520\", alpha=\"0.20\", expect_size=\"11974656\"] \n  22 -> 27 [size =\"11974656\"]\n  22 -> 30 [size =\"11974656\"]\n  22 -> 32 [size =\"11974656\"]\n  22 -> 38 [size =\"11974656\"]\n  22 -> 43 [size =\"11974656\"]\n  23 [size=\"136884907\", alpha=\"0.12\", expect_size=\"41065472\"] \n  23 -> 27 [size =\"41065472\"]\n  23 -> 30 [size =\"41065472\"]\n  23 -> 32 [size =\"41065472\"]\n  23 -> 34 [size =\"41065472\"]\n  24 [size=\"44752213\", alpha=\"0.04\", expect_size=\"13425664\"] \n  24 -> 27 [size =\"13425664\"]\n  24 -> 28 [size =\"13425664\"]\n  24 -> 37 [size =\"13425664\"]\n  24 -> 41 [size =\"13425664\"]\n  24 -> 42 [size =\"13425664\"]\n  24 -> 43 [size =\"13425664\"]\n  25 [size=\"174506667\", alpha=\"0.12\", expect_size=\"52352000\"] \n  25 -> 27 [size =\"52352000\"]\n  25 -> 29 [size =\"52352000\"]\n  25 -> 33 [size =\"52352000\"]\n  25 -> 37 [size =\"52352000\"]\n  25 -> 38 [size =\"52352000\"]\n  25 -> 39 [size =\"52352000\"]\n  25 -> 41 [size =\"52352000\"]\n  25 -> 43 [size =\"52352000\"]\n  26 [size=\"69434027\", alpha=\"0.14\", expect_size=\"20830208\"] \n  26 -> 29 [size =\"20830208\"]\n  26 -> 29 [size =\"20830208\"]\n  26 -> 35 [size =\"20830208\"]\n  26 -> 43 [size =\"20830208\"]\n  27 [size=\"58862933\", alpha=\"0.04\", expect_size=\"17658880\"] \n  27 -> 44 [size =\"17658880\"]\n  28 [size=\"75042133\", alpha=\"0.13\", expect_size=\"22512640\"] \n  28 -> 50 [size =\"22512640\"]\n  29 [size=\"73922560\", alpha=\"0.02\", expect_size=\"22176768\"] \n  29 -> 44 [size =\"22176768\"]\n  29 -> 47 [size =\"22176768\"]\n  29 -> 50 [size =\"22176768\"]\n  30 [size=\"72874667\", alpha=\"0.03\", expect_size=\"21862400\"] \n  30 -> 44 [size =\"21862400\"]\n  30 -> 50 [size =\"21862400\"]\n  31 [size=\"83015680\", alpha=\"0.04\", expect_size=\"24904704\"] \n  31 -> 47 [size =\"24904704\"]\n  32 [size=\"140369920\", alpha=\"0.11\", expect_size=\"42110976\"] \n  32 -> 44 [size =\"42110976\"]\n  32 -> 47 [size =\"42110976\"]\n  32 -> 48 [size =\"42110976\"]\n  33 [size=\"139055787\", alpha=\"0.15\", expect_size=\"41716736\"] \n  33 -> 45 [size =\"41716736\"]\n  33 -> 46 [size =\"41716736\"]\n  34 [size=\"79476053\", alpha=\"0.01\", expect_size=\"23842816\"] \n  34 -> 45 [size =\"23842816\"]\n  34 -> 46 [size =\"23842816\"]\n  34 -> 49 [size =\"23842816\"]\n  34 -> 50 [size =\"23842816\"]\n  35 [size=\"111185920\", alpha=\"0.12\", expect_size=\"33355776\"] \n  35 -> 46 [size =\"33355776\"]\n  36 [size=\"48404480\", alpha=\"0.19\", expect_size=\"14521344\"] \n  36 -> 45 [size =\"14521344\"]\n  37 [size=\"157873493\", alpha=\"0.16\", expect_size=\"47362048\"] \n  37 -> 47 [size =\"47362048\"]\n  37 -> 49 [size =\"47362048\"]\n  38 [size=\"34986667\", alpha=\"0.12\", expect_size=\"10496000\"] \n  38 -> 45 [size =\"10496000\"]\n  38 -> 49 [size =\"10496000\"]\n  38 -> 50 [size =\"10496000\"]\n  39 [size=\"136680107\", alpha=\"0.05\", expect_size=\"41004032\"] \n  39 -> 45 [size =\"41004032\"]\n  39 -> 49 [size =\"41004032\"]\n  39 -> 50 [size =\"41004032\"]\n  40 [size=\"150647467\", alpha=\"0.10\", expect_size=\"45194240\"] \n  40 -> 45 [size =\"45194240\"]\n  40 -> 49 [size =\"45194240\"]\n  40 -> 50 [size =\"45194240\"]\n  41 [size=\"173175467\", alpha=\"0.01\", expect_size=\"51952640\"] \n  41 -> 49 [size =\"51952640\"]\n  41 -> 50 [size =\"51952640\"]\n  42 [size=\"49394347\", alpha=\"0.15\", expect_size=\"14818304\"] \n  42 -> 44 [size =\"14818304\"]\n  42 -> 47 [size =\"14818304\"]\n  43 [size=\"134034773\", alpha=\"0.04\", expect_size=\"40210432\"] \n  43 -> 44 [size =\"40210432\"]\n  43 -> 45 [size =\"40210432\"]\n  44 [size=\"97290240\", alpha=\"0.16\", expect_size=\"29187072\"] \n  45 [size=\"108550827\", alpha=\"0.09\", expect_size=\"32565248\"] \n  46 [size=\"43564373\", alpha=\"0.08\", expect_size=\"13069312\"] \n  47 [size=\"36741120\", alpha=\"0.12\", expect_size=\"11022336\"] \n  48 [size=\"163017387\", alpha=\"0.04\", expect_size=\"48905216\"] \n  49 [size=\"103840427\", alpha=\"0.03\", expect_size=\"31152128\"] \n  50 [size=\"140462080\", alpha=\"0.09\", expect_size=\"42138624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.361.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30568448\", alpha=\"0.20\", expect_size=\"15284224\"] \n  1 -> 2 [size =\"15284224\"]\n  2 [size=\"60063744\", alpha=\"0.18\", expect_size=\"30031872\"] \n  2 -> 3 [size =\"30031872\"]\n  3 [size=\"44843008\", alpha=\"0.12\", expect_size=\"22421504\"] \n  3 -> 4 [size =\"22421504\"]\n  4 [size=\"60813312\", alpha=\"0.13\", expect_size=\"30406656\"] \n  4 -> 5 [size =\"30406656\"]\n  5 [size=\"58681344\", alpha=\"0.02\", expect_size=\"29340672\"] \n  5 -> 6 [size =\"29340672\"]\n  6 [size=\"12726272\", alpha=\"0.03\", expect_size=\"6363136\"] \n  6 -> 7 [size =\"6363136\"]\n  7 [size=\"103872512\", alpha=\"0.02\", expect_size=\"51936256\"] \n  7 -> 8 [size =\"51936256\"]\n  8 [size=\"82343936\", alpha=\"0.13\", expect_size=\"41171968\"] \n  8 -> 9 [size =\"41171968\"]\n  9 [size=\"57333760\", alpha=\"0.02\", expect_size=\"28666880\"] \n  9 -> 10 [size =\"28666880\"]\n  10 [size=\"82952192\", alpha=\"0.01\", expect_size=\"41476096\"] \n  10 -> 11 [size =\"41476096\"]\n  11 [size=\"62521344\", alpha=\"0.15\", expect_size=\"31260672\"] \n  11 -> 12 [size =\"31260672\"]\n  12 [size=\"61704192\", alpha=\"0.06\", expect_size=\"30852096\"] \n  12 -> 13 [size =\"30852096\"]\n  13 [size=\"54360064\", alpha=\"0.03\", expect_size=\"27180032\"] \n  13 -> 14 [size =\"27180032\"]\n  14 [size=\"16130048\", alpha=\"0.12\", expect_size=\"8065024\"] \n  14 -> 15 [size =\"8065024\"]\n  15 [size=\"77105152\", alpha=\"0.01\", expect_size=\"38552576\"] \n  15 -> 16 [size =\"38552576\"]\n  16 [size=\"85864448\", alpha=\"0.02\", expect_size=\"42932224\"] \n  16 -> 17 [size =\"42932224\"]\n  17 [size=\"101228544\", alpha=\"0.02\", expect_size=\"50614272\"] \n  17 -> 18 [size =\"50614272\"]\n  18 [size=\"16930816\", alpha=\"0.12\", expect_size=\"8465408\"] \n  18 -> 19 [size =\"8465408\"]\n  19 [size=\"79298560\", alpha=\"0.03\", expect_size=\"39649280\"] \n  19 -> 20 [size =\"39649280\"]\n  20 [size=\"88322048\", alpha=\"0.08\", expect_size=\"44161024\"] \n  20 -> 21 [size =\"44161024\"]\n  21 [size=\"93063168\", alpha=\"0.18\", expect_size=\"46531584\"] \n  21 -> 22 [size =\"46531584\"]\n  22 [size=\"67768320\", alpha=\"0.18\", expect_size=\"33884160\"] \n  22 -> 23 [size =\"33884160\"]\n  23 [size=\"96483328\", alpha=\"0.05\", expect_size=\"48241664\"] \n  23 -> 24 [size =\"48241664\"]\n  24 [size=\"17258496\", alpha=\"0.03\", expect_size=\"8629248\"] \n  24 -> 25 [size =\"8629248\"]\n  25 [size=\"75253760\", alpha=\"0.11\", expect_size=\"37626880\"] \n  25 -> 26 [size =\"37626880\"]\n  26 [size=\"80687104\", alpha=\"0.00\", expect_size=\"40343552\"] \n  26 -> 27 [size =\"40343552\"]\n  27 [size=\"88236032\", alpha=\"0.08\", expect_size=\"44118016\"] \n  27 -> 28 [size =\"44118016\"]\n  28 [size=\"96784384\", alpha=\"0.12\", expect_size=\"48392192\"] \n  28 -> 29 [size =\"48392192\"]\n  29 [size=\"59129856\", alpha=\"0.06\", expect_size=\"29564928\"] \n  29 -> 30 [size =\"29564928\"]\n  30 [size=\"73656320\", alpha=\"0.15\", expect_size=\"36828160\"] \n  30 -> 31 [size =\"36828160\"]\n  31 [size=\"18659328\", alpha=\"0.15\", expect_size=\"9329664\"] \n  31 -> 32 [size =\"9329664\"]\n  32 [size=\"102967296\", alpha=\"0.06\", expect_size=\"51483648\"] \n  32 -> 33 [size =\"51483648\"]\n  33 [size=\"93040640\", alpha=\"0.06\", expect_size=\"46520320\"] \n  33 -> 34 [size =\"46520320\"]\n  34 [size=\"23242752\", alpha=\"0.07\", expect_size=\"11621376\"] \n  34 -> 35 [size =\"11621376\"]\n  35 [size=\"38266880\", alpha=\"0.03\", expect_size=\"19133440\"] \n  35 -> 36 [size =\"19133440\"]\n  36 [size=\"91942912\", alpha=\"0.14\", expect_size=\"45971456\"] \n  36 -> 37 [size =\"45971456\"]\n  37 [size=\"92137472\", alpha=\"0.05\", expect_size=\"46068736\"] \n  37 -> 38 [size =\"46068736\"]\n  38 [size=\"37865472\", alpha=\"0.17\", expect_size=\"18932736\"] \n  38 -> 39 [size =\"18932736\"]\n  39 [size=\"95361024\", alpha=\"0.03\", expect_size=\"47680512\"] \n  39 -> 40 [size =\"47680512\"]\n  40 [size=\"28356608\", alpha=\"0.07\", expect_size=\"14178304\"] \n  40 -> 41 [size =\"14178304\"]\n  41 [size=\"98064384\", alpha=\"0.07\", expect_size=\"49032192\"] \n  41 -> 42 [size =\"49032192\"]\n  42 [size=\"73406464\", alpha=\"0.20\", expect_size=\"36703232\"] \n  42 -> 43 [size =\"36703232\"]\n  43 [size=\"99971072\", alpha=\"0.11\", expect_size=\"49985536\"] \n  43 -> 44 [size =\"49985536\"]\n  44 [size=\"32892928\", alpha=\"0.03\", expect_size=\"16446464\"] \n  44 -> 45 [size =\"16446464\"]\n  45 [size=\"66560000\", alpha=\"0.09\", expect_size=\"33280000\"] \n  45 -> 46 [size =\"33280000\"]\n  46 [size=\"78852096\", alpha=\"0.10\", expect_size=\"39426048\"] \n  46 -> 47 [size =\"39426048\"]\n  47 [size=\"50776064\", alpha=\"0.08\", expect_size=\"25388032\"] \n  47 -> 48 [size =\"25388032\"]\n  48 [size=\"73074688\", alpha=\"0.04\", expect_size=\"36537344\"] \n  48 -> 49 [size =\"36537344\"]\n  49 [size=\"57823232\", alpha=\"0.10\", expect_size=\"28911616\"] \n  49 -> 50 [size =\"28911616\"]\n  50 [size=\"73836544\", alpha=\"0.09\", expect_size=\"36918272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.362.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58884096\", alpha=\"0.05\", expect_size=\"29442048\"] \n  1 -> 2 [size =\"29442048\"]\n  2 [size=\"80809984\", alpha=\"0.13\", expect_size=\"40404992\"] \n  2 -> 3 [size =\"40404992\"]\n  3 [size=\"16123904\", alpha=\"0.05\", expect_size=\"8061952\"] \n  3 -> 4 [size =\"8061952\"]\n  4 [size=\"51556352\", alpha=\"0.02\", expect_size=\"25778176\"] \n  4 -> 5 [size =\"25778176\"]\n  5 [size=\"89790464\", alpha=\"0.08\", expect_size=\"44895232\"] \n  5 -> 6 [size =\"44895232\"]\n  6 [size=\"50812928\", alpha=\"0.16\", expect_size=\"25406464\"] \n  6 -> 7 [size =\"25406464\"]\n  7 [size=\"29030400\", alpha=\"0.04\", expect_size=\"14515200\"] \n  7 -> 8 [size =\"14515200\"]\n  8 [size=\"52981760\", alpha=\"0.01\", expect_size=\"26490880\"] \n  8 -> 9 [size =\"26490880\"]\n  9 [size=\"55889920\", alpha=\"0.16\", expect_size=\"27944960\"] \n  9 -> 10 [size =\"27944960\"]\n  10 [size=\"55939072\", alpha=\"0.11\", expect_size=\"27969536\"] \n  10 -> 11 [size =\"27969536\"]\n  11 [size=\"48033792\", alpha=\"0.05\", expect_size=\"24016896\"] \n  11 -> 12 [size =\"24016896\"]\n  12 [size=\"71960576\", alpha=\"0.11\", expect_size=\"35980288\"] \n  12 -> 13 [size =\"35980288\"]\n  13 [size=\"40740864\", alpha=\"0.12\", expect_size=\"20370432\"] \n  13 -> 14 [size =\"20370432\"]\n  14 [size=\"65648640\", alpha=\"0.19\", expect_size=\"32824320\"] \n  14 -> 15 [size =\"32824320\"]\n  15 [size=\"73625600\", alpha=\"0.14\", expect_size=\"36812800\"] \n  15 -> 16 [size =\"36812800\"]\n  16 [size=\"18257920\", alpha=\"0.19\", expect_size=\"9128960\"] \n  16 -> 17 [size =\"9128960\"]\n  17 [size=\"95232000\", alpha=\"0.12\", expect_size=\"47616000\"] \n  17 -> 18 [size =\"47616000\"]\n  18 [size=\"20971520\", alpha=\"0.15\", expect_size=\"10485760\"] \n  18 -> 19 [size =\"10485760\"]\n  19 [size=\"26284032\", alpha=\"0.01\", expect_size=\"13142016\"] \n  19 -> 20 [size =\"13142016\"]\n  20 [size=\"99604480\", alpha=\"0.10\", expect_size=\"49802240\"] \n  20 -> 21 [size =\"49802240\"]\n  21 [size=\"58249216\", alpha=\"0.09\", expect_size=\"29124608\"] \n  21 -> 22 [size =\"29124608\"]\n  22 [size=\"80590848\", alpha=\"0.03\", expect_size=\"40295424\"] \n  22 -> 23 [size =\"40295424\"]\n  23 [size=\"39589888\", alpha=\"0.19\", expect_size=\"19794944\"] \n  23 -> 24 [size =\"19794944\"]\n  24 [size=\"98287616\", alpha=\"0.03\", expect_size=\"49143808\"] \n  24 -> 25 [size =\"49143808\"]\n  25 [size=\"91846656\", alpha=\"0.04\", expect_size=\"45923328\"] \n  25 -> 26 [size =\"45923328\"]\n  26 [size=\"65085440\", alpha=\"0.13\", expect_size=\"32542720\"] \n  26 -> 27 [size =\"32542720\"]\n  27 [size=\"59357184\", alpha=\"0.07\", expect_size=\"29678592\"] \n  27 -> 28 [size =\"29678592\"]\n  28 [size=\"22075392\", alpha=\"0.09\", expect_size=\"11037696\"] \n  28 -> 29 [size =\"11037696\"]\n  29 [size=\"92923904\", alpha=\"0.01\", expect_size=\"46461952\"] \n  29 -> 30 [size =\"46461952\"]\n  30 [size=\"95842304\", alpha=\"0.03\", expect_size=\"47921152\"] \n  30 -> 31 [size =\"47921152\"]\n  31 [size=\"47353856\", alpha=\"0.13\", expect_size=\"23676928\"] \n  31 -> 32 [size =\"23676928\"]\n  32 [size=\"90228736\", alpha=\"0.16\", expect_size=\"45114368\"] \n  32 -> 33 [size =\"45114368\"]\n  33 [size=\"11677696\", alpha=\"0.05\", expect_size=\"5838848\"] \n  33 -> 34 [size =\"5838848\"]\n  34 [size=\"100452352\", alpha=\"0.05\", expect_size=\"50226176\"] \n  34 -> 35 [size =\"50226176\"]\n  35 [size=\"20142080\", alpha=\"0.20\", expect_size=\"10071040\"] \n  35 -> 36 [size =\"10071040\"]\n  36 [size=\"38791168\", alpha=\"0.15\", expect_size=\"19395584\"] \n  36 -> 37 [size =\"19395584\"]\n  37 [size=\"102359040\", alpha=\"0.09\", expect_size=\"51179520\"] \n  37 -> 38 [size =\"51179520\"]\n  38 [size=\"40648704\", alpha=\"0.05\", expect_size=\"20324352\"] \n  38 -> 39 [size =\"20324352\"]\n  39 [size=\"84897792\", alpha=\"0.05\", expect_size=\"42448896\"] \n  39 -> 40 [size =\"42448896\"]\n  40 [size=\"91768832\", alpha=\"0.03\", expect_size=\"45884416\"] \n  40 -> 41 [size =\"45884416\"]\n  41 [size=\"12345344\", alpha=\"0.11\", expect_size=\"6172672\"] \n  41 -> 42 [size =\"6172672\"]\n  42 [size=\"72916992\", alpha=\"0.14\", expect_size=\"36458496\"] \n  42 -> 43 [size =\"36458496\"]\n  43 [size=\"51847168\", alpha=\"0.04\", expect_size=\"25923584\"] \n  43 -> 44 [size =\"25923584\"]\n  44 [size=\"73764864\", alpha=\"0.12\", expect_size=\"36882432\"] \n  44 -> 45 [size =\"36882432\"]\n  45 [size=\"99459072\", alpha=\"0.17\", expect_size=\"49729536\"] \n  45 -> 46 [size =\"49729536\"]\n  46 [size=\"97699840\", alpha=\"0.14\", expect_size=\"48849920\"] \n  46 -> 47 [size =\"48849920\"]\n  47 [size=\"76259328\", alpha=\"0.01\", expect_size=\"38129664\"] \n  47 -> 48 [size =\"38129664\"]\n  48 [size=\"25511936\", alpha=\"0.11\", expect_size=\"12755968\"] \n  48 -> 49 [size =\"12755968\"]\n  49 [size=\"50321408\", alpha=\"0.18\", expect_size=\"25160704\"] \n  49 -> 50 [size =\"25160704\"]\n  50 [size=\"72112128\", alpha=\"0.03\", expect_size=\"36056064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.363.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29383680\", alpha=\"0.17\", expect_size=\"11753472\"] \n  1 -> 3 [size =\"11753472\"]\n  2 [size=\"45255680\", alpha=\"0.10\", expect_size=\"18102272\"] \n  3 [size=\"20052480\", alpha=\"0.01\", expect_size=\"8020992\"] \n  3 -> 4 [size =\"8020992\"]\n  4 [size=\"48967680\", alpha=\"0.03\", expect_size=\"19587072\"] \n  4 -> 5 [size =\"19587072\"]\n  4 -> 6 [size =\"19587072\"]\n  5 [size=\"86753280\", alpha=\"0.13\", expect_size=\"34701312\"] \n  5 -> 7 [size =\"34701312\"]\n  5 -> 8 [size =\"34701312\"]\n  6 [size=\"75200000\", alpha=\"0.06\", expect_size=\"30080000\"] \n  6 -> 8 [size =\"30080000\"]\n  6 -> 9 [size =\"30080000\"]\n  7 [size=\"34055680\", alpha=\"0.01\", expect_size=\"13622272\"] \n  7 -> 11 [size =\"13622272\"]\n  8 [size=\"43064320\", alpha=\"0.08\", expect_size=\"17225728\"] \n  8 -> 10 [size =\"17225728\"]\n  8 -> 12 [size =\"17225728\"]\n  9 [size=\"88478720\", alpha=\"0.10\", expect_size=\"35391488\"] \n  9 -> 10 [size =\"35391488\"]\n  9 -> 12 [size =\"35391488\"]\n  10 [size=\"123578880\", alpha=\"0.11\", expect_size=\"49431552\"] \n  10 -> 15 [size =\"49431552\"]\n  11 [size=\"116554240\", alpha=\"0.09\", expect_size=\"46621696\"] \n  11 -> 13 [size =\"46621696\"]\n  11 -> 16 [size =\"46621696\"]\n  12 [size=\"101079040\", alpha=\"0.02\", expect_size=\"40431616\"] \n  12 -> 13 [size =\"40431616\"]\n  12 -> 14 [size =\"40431616\"]\n  13 [size=\"39605760\", alpha=\"0.19\", expect_size=\"15842304\"] \n  14 [size=\"44917760\", alpha=\"0.18\", expect_size=\"17967104\"] \n  14 -> 17 [size =\"17967104\"]\n  14 -> 18 [size =\"17967104\"]\n  14 -> 19 [size =\"17967104\"]\n  15 [size=\"63518720\", alpha=\"0.13\", expect_size=\"25407488\"] \n  15 -> 17 [size =\"25407488\"]\n  16 [size=\"24852480\", alpha=\"0.01\", expect_size=\"9940992\"] \n  16 -> 17 [size =\"9940992\"]\n  16 -> 18 [size =\"9940992\"]\n  17 [size=\"57617920\", alpha=\"0.19\", expect_size=\"23047168\"] \n  17 -> 20 [size =\"23047168\"]\n  18 [size=\"63160320\", alpha=\"0.12\", expect_size=\"25264128\"] \n  18 -> 20 [size =\"25264128\"]\n  18 -> 21 [size =\"25264128\"]\n  19 [size=\"111252480\", alpha=\"0.04\", expect_size=\"44500992\"] \n  19 -> 22 [size =\"44500992\"]\n  20 [size=\"52369920\", alpha=\"0.19\", expect_size=\"20947968\"] \n  20 -> 23 [size =\"20947968\"]\n  20 -> 24 [size =\"20947968\"]\n  20 -> 25 [size =\"20947968\"]\n  21 [size=\"115673600\", alpha=\"0.17\", expect_size=\"46269440\"] \n  21 -> 24 [size =\"46269440\"]\n  22 [size=\"48944640\", alpha=\"0.20\", expect_size=\"19577856\"] \n  22 -> 23 [size =\"19577856\"]\n  23 [size=\"58831360\", alpha=\"0.04\", expect_size=\"23532544\"] \n  23 -> 26 [size =\"23532544\"]\n  24 [size=\"55055360\", alpha=\"0.14\", expect_size=\"22022144\"] \n  24 -> 26 [size =\"22022144\"]\n  24 -> 28 [size =\"22022144\"]\n  25 [size=\"43361280\", alpha=\"0.17\", expect_size=\"17344512\"] \n  25 -> 27 [size =\"17344512\"]\n  26 [size=\"121937920\", alpha=\"0.10\", expect_size=\"48775168\"] \n  26 -> 29 [size =\"48775168\"]\n  26 -> 30 [size =\"48775168\"]\n  26 -> 31 [size =\"48775168\"]\n  27 [size=\"125120000\", alpha=\"0.07\", expect_size=\"50048000\"] \n  27 -> 30 [size =\"50048000\"]\n  28 [size=\"118658560\", alpha=\"0.09\", expect_size=\"47463424\"] \n  28 -> 31 [size =\"47463424\"]\n  29 [size=\"74096640\", alpha=\"0.04\", expect_size=\"29638656\"] \n  30 [size=\"98152960\", alpha=\"0.18\", expect_size=\"39261184\"] \n  30 -> 32 [size =\"39261184\"]\n  31 [size=\"91970560\", alpha=\"0.09\", expect_size=\"36788224\"] \n  32 [size=\"71823360\", alpha=\"0.15\", expect_size=\"28729344\"] \n  32 -> 33 [size =\"28729344\"]\n  32 -> 34 [size =\"28729344\"]\n  32 -> 35 [size =\"28729344\"]\n  33 [size=\"69862400\", alpha=\"0.05\", expect_size=\"27944960\"] \n  33 -> 36 [size =\"27944960\"]\n  33 -> 37 [size =\"27944960\"]\n  34 [size=\"93032960\", alpha=\"0.01\", expect_size=\"37213184\"] \n  35 [size=\"59233280\", alpha=\"0.05\", expect_size=\"23693312\"] \n  35 -> 36 [size =\"23693312\"]\n  36 [size=\"42106880\", alpha=\"0.12\", expect_size=\"16842752\"] \n  36 -> 38 [size =\"16842752\"]\n  36 -> 39 [size =\"16842752\"]\n  37 [size=\"103754240\", alpha=\"0.06\", expect_size=\"41501696\"] \n  37 -> 38 [size =\"41501696\"]\n  37 -> 39 [size =\"41501696\"]\n  38 [size=\"29191680\", alpha=\"0.08\", expect_size=\"11676672\"] \n  38 -> 40 [size =\"11676672\"]\n  38 -> 42 [size =\"11676672\"]\n  38 -> 43 [size =\"11676672\"]\n  39 [size=\"84308480\", alpha=\"0.07\", expect_size=\"33723392\"] \n  39 -> 41 [size =\"33723392\"]\n  40 [size=\"108546560\", alpha=\"0.13\", expect_size=\"43418624\"] \n  41 [size=\"94412800\", alpha=\"0.16\", expect_size=\"37765120\"] \n  42 [size=\"27397120\", alpha=\"0.05\", expect_size=\"10958848\"] \n  42 -> 44 [size =\"10958848\"]\n  43 [size=\"113433600\", alpha=\"0.02\", expect_size=\"45373440\"] \n  44 [size=\"25128960\", alpha=\"0.06\", expect_size=\"10051584\"] \n  44 -> 45 [size =\"10051584\"]\n  44 -> 46 [size =\"10051584\"]\n  45 [size=\"30223360\", alpha=\"0.15\", expect_size=\"12089344\"] \n  46 [size=\"61163520\", alpha=\"0.03\", expect_size=\"24465408\"] \n  46 -> 47 [size =\"24465408\"]\n  47 [size=\"129697280\", alpha=\"0.09\", expect_size=\"51878912\"] \n  47 -> 48 [size =\"51878912\"]\n  48 [size=\"44408320\", alpha=\"0.14\", expect_size=\"17763328\"] \n  48 -> 49 [size =\"17763328\"]\n  48 -> 50 [size =\"17763328\"]\n  49 [size=\"91279360\", alpha=\"0.09\", expect_size=\"36511744\"] \n  50 [size=\"14563840\", alpha=\"0.18\", expect_size=\"5825536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.364.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99104768\", alpha=\"0.00\", expect_size=\"49552384\"] \n  1 -> 2 [size =\"49552384\"]\n  2 [size=\"55650304\", alpha=\"0.07\", expect_size=\"27825152\"] \n  2 -> 3 [size =\"27825152\"]\n  3 [size=\"29865984\", alpha=\"0.14\", expect_size=\"14932992\"] \n  3 -> 4 [size =\"14932992\"]\n  4 [size=\"52447232\", alpha=\"0.10\", expect_size=\"26223616\"] \n  4 -> 5 [size =\"26223616\"]\n  5 [size=\"24223744\", alpha=\"0.20\", expect_size=\"12111872\"] \n  5 -> 6 [size =\"12111872\"]\n  6 [size=\"39442432\", alpha=\"0.19\", expect_size=\"19721216\"] \n  6 -> 7 [size =\"19721216\"]\n  7 [size=\"66363392\", alpha=\"0.02\", expect_size=\"33181696\"] \n  7 -> 8 [size =\"33181696\"]\n  8 [size=\"29161472\", alpha=\"0.17\", expect_size=\"14580736\"] \n  8 -> 9 [size =\"14580736\"]\n  9 [size=\"74919936\", alpha=\"0.19\", expect_size=\"37459968\"] \n  9 -> 10 [size =\"37459968\"]\n  10 [size=\"102227968\", alpha=\"0.04\", expect_size=\"51113984\"] \n  10 -> 11 [size =\"51113984\"]\n  11 [size=\"52566016\", alpha=\"0.02\", expect_size=\"26283008\"] \n  11 -> 12 [size =\"26283008\"]\n  12 [size=\"54759424\", alpha=\"0.02\", expect_size=\"27379712\"] \n  12 -> 13 [size =\"27379712\"]\n  13 [size=\"87971840\", alpha=\"0.14\", expect_size=\"43985920\"] \n  13 -> 14 [size =\"43985920\"]\n  14 [size=\"61784064\", alpha=\"0.06\", expect_size=\"30892032\"] \n  14 -> 15 [size =\"30892032\"]\n  15 [size=\"14612480\", alpha=\"0.16\", expect_size=\"7306240\"] \n  15 -> 16 [size =\"7306240\"]\n  16 [size=\"14182400\", alpha=\"0.07\", expect_size=\"7091200\"] \n  16 -> 17 [size =\"7091200\"]\n  17 [size=\"103489536\", alpha=\"0.13\", expect_size=\"51744768\"] \n  17 -> 18 [size =\"51744768\"]\n  18 [size=\"19771392\", alpha=\"0.16\", expect_size=\"9885696\"] \n  18 -> 19 [size =\"9885696\"]\n  19 [size=\"101988352\", alpha=\"0.03\", expect_size=\"50994176\"] \n  19 -> 20 [size =\"50994176\"]\n  20 [size=\"99319808\", alpha=\"0.19\", expect_size=\"49659904\"] \n  20 -> 21 [size =\"49659904\"]\n  21 [size=\"23027712\", alpha=\"0.14\", expect_size=\"11513856\"] \n  21 -> 22 [size =\"11513856\"]\n  22 [size=\"31404032\", alpha=\"0.18\", expect_size=\"15702016\"] \n  22 -> 23 [size =\"15702016\"]\n  23 [size=\"42889216\", alpha=\"0.07\", expect_size=\"21444608\"] \n  23 -> 24 [size =\"21444608\"]\n  24 [size=\"16308224\", alpha=\"0.04\", expect_size=\"8154112\"] \n  24 -> 25 [size =\"8154112\"]\n  25 [size=\"46510080\", alpha=\"0.04\", expect_size=\"23255040\"] \n  25 -> 26 [size =\"23255040\"]\n  26 [size=\"27623424\", alpha=\"0.11\", expect_size=\"13811712\"] \n  26 -> 27 [size =\"13811712\"]\n  27 [size=\"61243392\", alpha=\"0.09\", expect_size=\"30621696\"] \n  27 -> 28 [size =\"30621696\"]\n  28 [size=\"30341120\", alpha=\"0.11\", expect_size=\"15170560\"] \n  28 -> 29 [size =\"15170560\"]\n  29 [size=\"13568000\", alpha=\"0.07\", expect_size=\"6784000\"] \n  29 -> 30 [size =\"6784000\"]\n  30 [size=\"29114368\", alpha=\"0.02\", expect_size=\"14557184\"] \n  30 -> 31 [size =\"14557184\"]\n  31 [size=\"25753600\", alpha=\"0.07\", expect_size=\"12876800\"] \n  31 -> 32 [size =\"12876800\"]\n  32 [size=\"92102656\", alpha=\"0.00\", expect_size=\"46051328\"] \n  32 -> 33 [size =\"46051328\"]\n  33 [size=\"84588544\", alpha=\"0.10\", expect_size=\"42294272\"] \n  33 -> 34 [size =\"42294272\"]\n  34 [size=\"22587392\", alpha=\"0.11\", expect_size=\"11293696\"] \n  34 -> 35 [size =\"11293696\"]\n  35 [size=\"42436608\", alpha=\"0.13\", expect_size=\"21218304\"] \n  35 -> 36 [size =\"21218304\"]\n  36 [size=\"63504384\", alpha=\"0.15\", expect_size=\"31752192\"] \n  36 -> 37 [size =\"31752192\"]\n  37 [size=\"20373504\", alpha=\"0.18\", expect_size=\"10186752\"] \n  37 -> 38 [size =\"10186752\"]\n  38 [size=\"63297536\", alpha=\"0.02\", expect_size=\"31648768\"] \n  38 -> 39 [size =\"31648768\"]\n  39 [size=\"22204416\", alpha=\"0.06\", expect_size=\"11102208\"] \n  39 -> 40 [size =\"11102208\"]\n  40 [size=\"55906304\", alpha=\"0.08\", expect_size=\"27953152\"] \n  40 -> 41 [size =\"27953152\"]\n  41 [size=\"67397632\", alpha=\"0.13\", expect_size=\"33698816\"] \n  41 -> 42 [size =\"33698816\"]\n  42 [size=\"98762752\", alpha=\"0.03\", expect_size=\"49381376\"] \n  42 -> 43 [size =\"49381376\"]\n  43 [size=\"99905536\", alpha=\"0.19\", expect_size=\"49952768\"] \n  43 -> 44 [size =\"49952768\"]\n  44 [size=\"53938176\", alpha=\"0.17\", expect_size=\"26969088\"] \n  44 -> 45 [size =\"26969088\"]\n  45 [size=\"12163072\", alpha=\"0.02\", expect_size=\"6081536\"] \n  45 -> 46 [size =\"6081536\"]\n  46 [size=\"73076736\", alpha=\"0.11\", expect_size=\"36538368\"] \n  46 -> 47 [size =\"36538368\"]\n  47 [size=\"51636224\", alpha=\"0.11\", expect_size=\"25818112\"] \n  47 -> 48 [size =\"25818112\"]\n  48 [size=\"40843264\", alpha=\"0.14\", expect_size=\"20421632\"] \n  48 -> 49 [size =\"20421632\"]\n  49 [size=\"49987584\", alpha=\"0.19\", expect_size=\"24993792\"] \n  49 -> 50 [size =\"24993792\"]\n  50 [size=\"76197888\", alpha=\"0.07\", expect_size=\"38098944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.365.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40859648\", alpha=\"0.01\", expect_size=\"20429824\"] \n  1 -> 37 [size =\"20429824\"]\n  2 [size=\"47861760\", alpha=\"0.05\", expect_size=\"23930880\"] \n  2 -> 46 [size =\"23930880\"]\n  2 -> 49 [size =\"23930880\"]\n  3 [size=\"41183232\", alpha=\"0.12\", expect_size=\"20591616\"] \n  3 -> 36 [size =\"20591616\"]\n  3 -> 37 [size =\"20591616\"]\n  3 -> 39 [size =\"20591616\"]\n  3 -> 40 [size =\"20591616\"]\n  3 -> 49 [size =\"20591616\"]\n  4 [size=\"96749568\", alpha=\"0.09\", expect_size=\"48374784\"] \n  4 -> 37 [size =\"48374784\"]\n  4 -> 39 [size =\"48374784\"]\n  4 -> 41 [size =\"48374784\"]\n  4 -> 49 [size =\"48374784\"]\n  4 -> 49 [size =\"48374784\"]\n  4 -> 50 [size =\"48374784\"]\n  5 [size=\"41043968\", alpha=\"0.03\", expect_size=\"20521984\"] \n  5 -> 45 [size =\"20521984\"]\n  6 [size=\"24285184\", alpha=\"0.16\", expect_size=\"12142592\"] \n  6 -> 35 [size =\"12142592\"]\n  6 -> 38 [size =\"12142592\"]\n  6 -> 40 [size =\"12142592\"]\n  6 -> 46 [size =\"12142592\"]\n  6 -> 48 [size =\"12142592\"]\n  6 -> 49 [size =\"12142592\"]\n  6 -> 50 [size =\"12142592\"]\n  7 [size=\"40720384\", alpha=\"0.09\", expect_size=\"20360192\"] \n  7 -> 37 [size =\"20360192\"]\n  7 -> 42 [size =\"20360192\"]\n  7 -> 44 [size =\"20360192\"]\n  8 [size=\"46006272\", alpha=\"0.04\", expect_size=\"23003136\"] \n  8 -> 42 [size =\"23003136\"]\n  8 -> 48 [size =\"23003136\"]\n  8 -> 50 [size =\"23003136\"]\n  9 [size=\"103135232\", alpha=\"0.19\", expect_size=\"51567616\"] \n  9 -> 41 [size =\"51567616\"]\n  9 -> 42 [size =\"51567616\"]\n  9 -> 46 [size =\"51567616\"]\n  10 [size=\"22900736\", alpha=\"0.12\", expect_size=\"11450368\"] \n  10 -> 41 [size =\"11450368\"]\n  10 -> 42 [size =\"11450368\"]\n  10 -> 46 [size =\"11450368\"]\n  10 -> 48 [size =\"11450368\"]\n  11 [size=\"41740288\", alpha=\"0.04\", expect_size=\"20870144\"] \n  11 -> 40 [size =\"20870144\"]\n  11 -> 46 [size =\"20870144\"]\n  12 [size=\"48068608\", alpha=\"0.11\", expect_size=\"24034304\"] \n  12 -> 35 [size =\"24034304\"]\n  12 -> 39 [size =\"24034304\"]\n  12 -> 44 [size =\"24034304\"]\n  12 -> 45 [size =\"24034304\"]\n  13 [size=\"73945088\", alpha=\"0.11\", expect_size=\"36972544\"] \n  13 -> 35 [size =\"36972544\"]\n  13 -> 38 [size =\"36972544\"]\n  13 -> 39 [size =\"36972544\"]\n  13 -> 42 [size =\"36972544\"]\n  14 [size=\"35592192\", alpha=\"0.14\", expect_size=\"17796096\"] \n  14 -> 40 [size =\"17796096\"]\n  14 -> 46 [size =\"17796096\"]\n  14 -> 49 [size =\"17796096\"]\n  15 [size=\"79394816\", alpha=\"0.19\", expect_size=\"39697408\"] \n  15 -> 37 [size =\"39697408\"]\n  15 -> 41 [size =\"39697408\"]\n  15 -> 50 [size =\"39697408\"]\n  16 [size=\"91609088\", alpha=\"0.00\", expect_size=\"45804544\"] \n  16 -> 37 [size =\"45804544\"]\n  16 -> 41 [size =\"45804544\"]\n  16 -> 44 [size =\"45804544\"]\n  16 -> 46 [size =\"45804544\"]\n  17 [size=\"73455616\", alpha=\"0.13\", expect_size=\"36727808\"] \n  17 -> 37 [size =\"36727808\"]\n  17 -> 41 [size =\"36727808\"]\n  17 -> 42 [size =\"36727808\"]\n  18 [size=\"21334016\", alpha=\"0.19\", expect_size=\"10667008\"] \n  18 -> 36 [size =\"10667008\"]\n  19 [size=\"39106560\", alpha=\"0.14\", expect_size=\"19553280\"] \n  19 -> 36 [size =\"19553280\"]\n  19 -> 42 [size =\"19553280\"]\n  20 [size=\"32284672\", alpha=\"0.05\", expect_size=\"16142336\"] \n  20 -> 42 [size =\"16142336\"]\n  21 [size=\"89511936\", alpha=\"0.01\", expect_size=\"44755968\"] \n  21 -> 35 [size =\"44755968\"]\n  21 -> 37 [size =\"44755968\"]\n  21 -> 39 [size =\"44755968\"]\n  21 -> 45 [size =\"44755968\"]\n  21 -> 49 [size =\"44755968\"]\n  22 [size=\"14694400\", alpha=\"0.06\", expect_size=\"7347200\"] \n  22 -> 39 [size =\"7347200\"]\n  22 -> 41 [size =\"7347200\"]\n  22 -> 47 [size =\"7347200\"]\n  22 -> 49 [size =\"7347200\"]\n  22 -> 50 [size =\"7347200\"]\n  23 [size=\"66916352\", alpha=\"0.17\", expect_size=\"33458176\"] \n  23 -> 35 [size =\"33458176\"]\n  23 -> 41 [size =\"33458176\"]\n  23 -> 43 [size =\"33458176\"]\n  23 -> 49 [size =\"33458176\"]\n  24 [size=\"23808000\", alpha=\"0.06\", expect_size=\"11904000\"] \n  24 -> 47 [size =\"11904000\"]\n  24 -> 49 [size =\"11904000\"]\n  25 [size=\"92194816\", alpha=\"0.02\", expect_size=\"46097408\"] \n  25 -> 41 [size =\"46097408\"]\n  25 -> 42 [size =\"46097408\"]\n  25 -> 46 [size =\"46097408\"]\n  25 -> 50 [size =\"46097408\"]\n  26 [size=\"87273472\", alpha=\"0.00\", expect_size=\"43636736\"] \n  26 -> 50 [size =\"43636736\"]\n  27 [size=\"88954880\", alpha=\"0.05\", expect_size=\"44477440\"] \n  27 -> 39 [size =\"44477440\"]\n  27 -> 40 [size =\"44477440\"]\n  27 -> 48 [size =\"44477440\"]\n  28 [size=\"58238976\", alpha=\"0.18\", expect_size=\"29119488\"] \n  28 -> 46 [size =\"29119488\"]\n  28 -> 49 [size =\"29119488\"]\n  29 [size=\"54517760\", alpha=\"0.10\", expect_size=\"27258880\"] \n  29 -> 35 [size =\"27258880\"]\n  29 -> 42 [size =\"27258880\"]\n  30 [size=\"28061696\", alpha=\"0.05\", expect_size=\"14030848\"] \n  30 -> 35 [size =\"14030848\"]\n  30 -> 39 [size =\"14030848\"]\n  30 -> 40 [size =\"14030848\"]\n  30 -> 42 [size =\"14030848\"]\n  30 -> 45 [size =\"14030848\"]\n  30 -> 49 [size =\"14030848\"]\n  30 -> 50 [size =\"14030848\"]\n  31 [size=\"49391616\", alpha=\"0.07\", expect_size=\"24695808\"] \n  31 -> 39 [size =\"24695808\"]\n  31 -> 42 [size =\"24695808\"]\n  31 -> 50 [size =\"24695808\"]\n  32 [size=\"54513664\", alpha=\"0.16\", expect_size=\"27256832\"] \n  32 -> 37 [size =\"27256832\"]\n  32 -> 38 [size =\"27256832\"]\n  32 -> 40 [size =\"27256832\"]\n  32 -> 42 [size =\"27256832\"]\n  32 -> 44 [size =\"27256832\"]\n  33 [size=\"80803840\", alpha=\"0.19\", expect_size=\"40401920\"] \n  33 -> 35 [size =\"40401920\"]\n  33 -> 40 [size =\"40401920\"]\n  33 -> 42 [size =\"40401920\"]\n  34 [size=\"64589824\", alpha=\"0.07\", expect_size=\"32294912\"] \n  34 -> 49 [size =\"32294912\"]\n  35 [size=\"92133376\", alpha=\"0.10\", expect_size=\"46066688\"] \n  36 [size=\"99624960\", alpha=\"0.10\", expect_size=\"49812480\"] \n  37 [size=\"100861952\", alpha=\"0.03\", expect_size=\"50430976\"] \n  38 [size=\"31711232\", alpha=\"0.19\", expect_size=\"15855616\"] \n  39 [size=\"22063104\", alpha=\"0.01\", expect_size=\"11031552\"] \n  40 [size=\"70199296\", alpha=\"0.07\", expect_size=\"35099648\"] \n  41 [size=\"94160896\", alpha=\"0.10\", expect_size=\"47080448\"] \n  42 [size=\"30834688\", alpha=\"0.14\", expect_size=\"15417344\"] \n  43 [size=\"12175360\", alpha=\"0.10\", expect_size=\"6087680\"] \n  44 [size=\"101642240\", alpha=\"0.09\", expect_size=\"50821120\"] \n  45 [size=\"41228288\", alpha=\"0.05\", expect_size=\"20614144\"] \n  46 [size=\"88588288\", alpha=\"0.18\", expect_size=\"44294144\"] \n  47 [size=\"41728000\", alpha=\"0.07\", expect_size=\"20864000\"] \n  48 [size=\"57993216\", alpha=\"0.06\", expect_size=\"28996608\"] \n  49 [size=\"53858304\", alpha=\"0.14\", expect_size=\"26929152\"] \n  50 [size=\"57946112\", alpha=\"0.06\", expect_size=\"28973056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.366.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60456960\", alpha=\"0.02\", expect_size=\"18137088\"] \n  1 -> 4 [size =\"18137088\"]\n  1 -> 5 [size =\"18137088\"]\n  2 [size=\"57596587\", alpha=\"0.08\", expect_size=\"17278976\"] \n  2 -> 5 [size =\"17278976\"]\n  3 [size=\"42939733\", alpha=\"0.05\", expect_size=\"12881920\"] \n  4 [size=\"57186987\", alpha=\"0.06\", expect_size=\"17156096\"] \n  4 -> 6 [size =\"17156096\"]\n  4 -> 7 [size =\"17156096\"]\n  5 [size=\"124770987\", alpha=\"0.15\", expect_size=\"37431296\"] \n  5 -> 7 [size =\"37431296\"]\n  6 [size=\"21060267\", alpha=\"0.02\", expect_size=\"6318080\"] \n  6 -> 8 [size =\"6318080\"]\n  7 [size=\"168847360\", alpha=\"0.14\", expect_size=\"50654208\"] \n  7 -> 9 [size =\"50654208\"]\n  7 -> 10 [size =\"50654208\"]\n  8 [size=\"128218453\", alpha=\"0.06\", expect_size=\"38465536\"] \n  9 [size=\"19906560\", alpha=\"0.16\", expect_size=\"5971968\"] \n  9 -> 12 [size =\"5971968\"]\n  10 [size=\"48168960\", alpha=\"0.08\", expect_size=\"14450688\"] \n  10 -> 11 [size =\"14450688\"]\n  10 -> 12 [size =\"14450688\"]\n  11 [size=\"43557547\", alpha=\"0.15\", expect_size=\"13067264\"] \n  11 -> 13 [size =\"13067264\"]\n  11 -> 14 [size =\"13067264\"]\n  12 [size=\"63214933\", alpha=\"0.08\", expect_size=\"18964480\"] \n  12 -> 13 [size =\"18964480\"]\n  12 -> 14 [size =\"18964480\"]\n  13 [size=\"127453867\", alpha=\"0.01\", expect_size=\"38236160\"] \n  13 -> 15 [size =\"38236160\"]\n  13 -> 16 [size =\"38236160\"]\n  14 [size=\"169502720\", alpha=\"0.11\", expect_size=\"50850816\"] \n  14 -> 15 [size =\"50850816\"]\n  14 -> 16 [size =\"50850816\"]\n  14 -> 17 [size =\"50850816\"]\n  15 [size=\"58490880\", alpha=\"0.16\", expect_size=\"17547264\"] \n  15 -> 18 [size =\"17547264\"]\n  15 -> 19 [size =\"17547264\"]\n  16 [size=\"173400747\", alpha=\"0.13\", expect_size=\"52020224\"] \n  16 -> 18 [size =\"52020224\"]\n  17 [size=\"31269547\", alpha=\"0.03\", expect_size=\"9380864\"] \n  17 -> 18 [size =\"9380864\"]\n  18 [size=\"143056213\", alpha=\"0.03\", expect_size=\"42916864\"] \n  18 -> 20 [size =\"42916864\"]\n  18 -> 21 [size =\"42916864\"]\n  18 -> 22 [size =\"42916864\"]\n  19 [size=\"29917867\", alpha=\"0.05\", expect_size=\"8975360\"] \n  19 -> 21 [size =\"8975360\"]\n  19 -> 22 [size =\"8975360\"]\n  20 [size=\"151995733\", alpha=\"0.17\", expect_size=\"45598720\"] \n  20 -> 25 [size =\"45598720\"]\n  21 [size=\"59357867\", alpha=\"0.14\", expect_size=\"17807360\"] \n  21 -> 23 [size =\"17807360\"]\n  22 [size=\"22999040\", alpha=\"0.17\", expect_size=\"6899712\"] \n  22 -> 24 [size =\"6899712\"]\n  22 -> 25 [size =\"6899712\"]\n  23 [size=\"89282560\", alpha=\"0.02\", expect_size=\"26784768\"] \n  23 -> 26 [size =\"26784768\"]\n  23 -> 27 [size =\"26784768\"]\n  23 -> 28 [size =\"26784768\"]\n  24 [size=\"95784960\", alpha=\"0.13\", expect_size=\"28735488\"] \n  24 -> 28 [size =\"28735488\"]\n  25 [size=\"26350933\", alpha=\"0.18\", expect_size=\"7905280\"] \n  25 -> 26 [size =\"7905280\"]\n  25 -> 28 [size =\"7905280\"]\n  26 [size=\"155170133\", alpha=\"0.02\", expect_size=\"46551040\"] \n  26 -> 29 [size =\"46551040\"]\n  27 [size=\"100205227\", alpha=\"0.06\", expect_size=\"30061568\"] \n  27 -> 29 [size =\"30061568\"]\n  27 -> 30 [size =\"30061568\"]\n  27 -> 31 [size =\"30061568\"]\n  28 [size=\"122982400\", alpha=\"0.05\", expect_size=\"36894720\"] \n  28 -> 29 [size =\"36894720\"]\n  29 [size=\"143042560\", alpha=\"0.03\", expect_size=\"42912768\"] \n  29 -> 32 [size =\"42912768\"]\n  29 -> 33 [size =\"42912768\"]\n  30 [size=\"26350933\", alpha=\"0.05\", expect_size=\"7905280\"] \n  30 -> 32 [size =\"7905280\"]\n  30 -> 33 [size =\"7905280\"]\n  31 [size=\"160320853\", alpha=\"0.11\", expect_size=\"48096256\"] \n  32 [size=\"116070400\", alpha=\"0.03\", expect_size=\"34821120\"] \n  32 -> 35 [size =\"34821120\"]\n  32 -> 36 [size =\"34821120\"]\n  33 [size=\"91009707\", alpha=\"0.08\", expect_size=\"27302912\"] \n  33 -> 34 [size =\"27302912\"]\n  33 -> 36 [size =\"27302912\"]\n  34 [size=\"110605653\", alpha=\"0.13\", expect_size=\"33181696\"] \n  34 -> 38 [size =\"33181696\"]\n  35 [size=\"57282560\", alpha=\"0.03\", expect_size=\"17184768\"] \n  36 [size=\"38335147\", alpha=\"0.13\", expect_size=\"11500544\"] \n  36 -> 37 [size =\"11500544\"]\n  37 [size=\"57347413\", alpha=\"0.04\", expect_size=\"17204224\"] \n  37 -> 40 [size =\"17204224\"]\n  38 [size=\"108404053\", alpha=\"0.12\", expect_size=\"32521216\"] \n  38 -> 39 [size =\"32521216\"]\n  39 [size=\"144967680\", alpha=\"0.01\", expect_size=\"43490304\"] \n  39 -> 42 [size =\"43490304\"]\n  40 [size=\"169468587\", alpha=\"0.08\", expect_size=\"50840576\"] \n  40 -> 41 [size =\"50840576\"]\n  41 [size=\"55309653\", alpha=\"0.19\", expect_size=\"16592896\"] \n  41 -> 43 [size =\"16592896\"]\n  42 [size=\"143155200\", alpha=\"0.11\", expect_size=\"42946560\"] \n  42 -> 44 [size =\"42946560\"]\n  43 [size=\"164164267\", alpha=\"0.13\", expect_size=\"49249280\"] \n  43 -> 45 [size =\"49249280\"]\n  43 -> 46 [size =\"49249280\"]\n  44 [size=\"71038293\", alpha=\"0.04\", expect_size=\"21311488\"] \n  44 -> 46 [size =\"21311488\"]\n  45 [size=\"173086720\", alpha=\"0.17\", expect_size=\"51926016\"] \n  45 -> 47 [size =\"51926016\"]\n  45 -> 48 [size =\"51926016\"]\n  46 [size=\"39461547\", alpha=\"0.07\", expect_size=\"11838464\"] \n  46 -> 47 [size =\"11838464\"]\n  46 -> 49 [size =\"11838464\"]\n  47 [size=\"140666880\", alpha=\"0.07\", expect_size=\"42200064\"] \n  47 -> 50 [size =\"42200064\"]\n  48 [size=\"18636800\", alpha=\"0.01\", expect_size=\"5591040\"] \n  48 -> 50 [size =\"5591040\"]\n  49 [size=\"113524053\", alpha=\"0.11\", expect_size=\"34057216\"] \n  49 -> 50 [size =\"34057216\"]\n  50 [size=\"123204267\", alpha=\"0.02\", expect_size=\"36961280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.367.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111025493\", alpha=\"0.05\", expect_size=\"33307648\"] \n  1 -> 5 [size =\"33307648\"]\n  2 [size=\"71359147\", alpha=\"0.02\", expect_size=\"21407744\"] \n  2 -> 4 [size =\"21407744\"]\n  3 [size=\"64430080\", alpha=\"0.15\", expect_size=\"19329024\"] \n  4 [size=\"74059093\", alpha=\"0.07\", expect_size=\"22217728\"] \n  4 -> 6 [size =\"22217728\"]\n  4 -> 7 [size =\"22217728\"]\n  5 [size=\"128484693\", alpha=\"0.15\", expect_size=\"38545408\"] \n  5 -> 8 [size =\"38545408\"]\n  6 [size=\"17752747\", alpha=\"0.01\", expect_size=\"5325824\"] \n  7 [size=\"166488747\", alpha=\"0.17\", expect_size=\"49946624\"] \n  7 -> 10 [size =\"49946624\"]\n  8 [size=\"28241920\", alpha=\"0.13\", expect_size=\"8472576\"] \n  8 -> 9 [size =\"8472576\"]\n  9 [size=\"53207040\", alpha=\"0.04\", expect_size=\"15962112\"] \n  9 -> 12 [size =\"15962112\"]\n  10 [size=\"106830507\", alpha=\"0.10\", expect_size=\"32049152\"] \n  10 -> 11 [size =\"32049152\"]\n  11 [size=\"18312533\", alpha=\"0.07\", expect_size=\"5493760\"] \n  11 -> 14 [size =\"5493760\"]\n  12 [size=\"55719253\", alpha=\"0.11\", expect_size=\"16715776\"] \n  12 -> 13 [size =\"16715776\"]\n  13 [size=\"68382720\", alpha=\"0.11\", expect_size=\"20514816\"] \n  13 -> 16 [size =\"20514816\"]\n  14 [size=\"31911253\", alpha=\"0.10\", expect_size=\"9573376\"] \n  14 -> 15 [size =\"9573376\"]\n  15 [size=\"90866347\", alpha=\"0.20\", expect_size=\"27259904\"] \n  15 -> 17 [size =\"27259904\"]\n  15 -> 18 [size =\"27259904\"]\n  16 [size=\"51476480\", alpha=\"0.15\", expect_size=\"15442944\"] \n  16 -> 19 [size =\"15442944\"]\n  17 [size=\"56552107\", alpha=\"0.00\", expect_size=\"16965632\"] \n  17 -> 22 [size =\"16965632\"]\n  18 [size=\"33276587\", alpha=\"0.17\", expect_size=\"9982976\"] \n  18 -> 20 [size =\"9982976\"]\n  18 -> 21 [size =\"9982976\"]\n  19 [size=\"132116480\", alpha=\"0.10\", expect_size=\"39634944\"] \n  19 -> 20 [size =\"39634944\"]\n  20 [size=\"160150187\", alpha=\"0.16\", expect_size=\"48045056\"] \n  20 -> 25 [size =\"48045056\"]\n  21 [size=\"82653867\", alpha=\"0.14\", expect_size=\"24796160\"] \n  21 -> 23 [size =\"24796160\"]\n  21 -> 24 [size =\"24796160\"]\n  22 [size=\"140049067\", alpha=\"0.19\", expect_size=\"42014720\"] \n  22 -> 23 [size =\"42014720\"]\n  22 -> 24 [size =\"42014720\"]\n  23 [size=\"69382827\", alpha=\"0.10\", expect_size=\"20814848\"] \n  24 [size=\"159020373\", alpha=\"0.08\", expect_size=\"47706112\"] \n  25 [size=\"82674347\", alpha=\"0.00\", expect_size=\"24802304\"] \n  25 -> 26 [size =\"24802304\"]\n  25 -> 27 [size =\"24802304\"]\n  26 [size=\"80616107\", alpha=\"0.12\", expect_size=\"24184832\"] \n  26 -> 28 [size =\"24184832\"]\n  27 [size=\"38587733\", alpha=\"0.04\", expect_size=\"11576320\"] \n  27 -> 29 [size =\"11576320\"]\n  27 -> 30 [size =\"11576320\"]\n  28 [size=\"41564160\", alpha=\"0.16\", expect_size=\"12469248\"] \n  28 -> 31 [size =\"12469248\"]\n  29 [size=\"19278507\", alpha=\"0.13\", expect_size=\"5783552\"] \n  29 -> 31 [size =\"5783552\"]\n  30 [size=\"94419627\", alpha=\"0.02\", expect_size=\"28325888\"] \n  30 -> 32 [size =\"28325888\"]\n  30 -> 33 [size =\"28325888\"]\n  31 [size=\"61088427\", alpha=\"0.10\", expect_size=\"18326528\"] \n  31 -> 35 [size =\"18326528\"]\n  32 [size=\"170127360\", alpha=\"0.04\", expect_size=\"51038208\"] \n  33 [size=\"160843093\", alpha=\"0.04\", expect_size=\"48252928\"] \n  33 -> 34 [size =\"48252928\"]\n  34 [size=\"80192853\", alpha=\"0.06\", expect_size=\"24057856\"] \n  34 -> 36 [size =\"24057856\"]\n  34 -> 37 [size =\"24057856\"]\n  35 [size=\"142049280\", alpha=\"0.17\", expect_size=\"42614784\"] \n  35 -> 38 [size =\"42614784\"]\n  36 [size=\"142848000\", alpha=\"0.12\", expect_size=\"42854400\"] \n  36 -> 39 [size =\"42854400\"]\n  36 -> 41 [size =\"42854400\"]\n  37 [size=\"82872320\", alpha=\"0.13\", expect_size=\"24861696\"] \n  37 -> 40 [size =\"24861696\"]\n  38 [size=\"111131307\", alpha=\"0.15\", expect_size=\"33339392\"] \n  39 [size=\"81111040\", alpha=\"0.12\", expect_size=\"24333312\"] \n  39 -> 43 [size =\"24333312\"]\n  40 [size=\"28542293\", alpha=\"0.07\", expect_size=\"8562688\"] \n  41 [size=\"42779307\", alpha=\"0.10\", expect_size=\"12833792\"] \n  41 -> 42 [size =\"12833792\"]\n  42 [size=\"124661760\", alpha=\"0.09\", expect_size=\"37398528\"] \n  42 -> 44 [size =\"37398528\"]\n  42 -> 45 [size =\"37398528\"]\n  42 -> 46 [size =\"37398528\"]\n  43 [size=\"155149653\", alpha=\"0.15\", expect_size=\"46544896\"] \n  44 [size=\"27859627\", alpha=\"0.19\", expect_size=\"8357888\"] \n  44 -> 47 [size =\"8357888\"]\n  45 [size=\"71806293\", alpha=\"0.11\", expect_size=\"21541888\"] \n  45 -> 47 [size =\"21541888\"]\n  45 -> 48 [size =\"21541888\"]\n  46 [size=\"45810347\", alpha=\"0.10\", expect_size=\"13743104\"] \n  46 -> 48 [size =\"13743104\"]\n  47 [size=\"141154987\", alpha=\"0.13\", expect_size=\"42346496\"] \n  47 -> 49 [size =\"42346496\"]\n  47 -> 50 [size =\"42346496\"]\n  48 [size=\"82346667\", alpha=\"0.19\", expect_size=\"24704000\"] \n  49 [size=\"42478933\", alpha=\"0.05\", expect_size=\"12743680\"] \n  50 [size=\"136185173\", alpha=\"0.00\", expect_size=\"40855552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.368.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94771200\", alpha=\"0.08\", expect_size=\"28431360\"] \n  1 -> 9 [size =\"28431360\"]\n  2 [size=\"108960427\", alpha=\"0.05\", expect_size=\"32688128\"] \n  3 [size=\"91706027\", alpha=\"0.04\", expect_size=\"27511808\"] \n  3 -> 6 [size =\"27511808\"]\n  4 [size=\"51875840\", alpha=\"0.05\", expect_size=\"15562752\"] \n  4 -> 7 [size =\"15562752\"]\n  4 -> 8 [size =\"15562752\"]\n  4 -> 9 [size =\"15562752\"]\n  5 [size=\"91337387\", alpha=\"0.02\", expect_size=\"27401216\"] \n  5 -> 6 [size =\"27401216\"]\n  5 -> 9 [size =\"27401216\"]\n  6 [size=\"40881493\", alpha=\"0.14\", expect_size=\"12264448\"] \n  6 -> 12 [size =\"12264448\"]\n  7 [size=\"82640213\", alpha=\"0.20\", expect_size=\"24792064\"] \n  7 -> 10 [size =\"24792064\"]\n  7 -> 13 [size =\"24792064\"]\n  8 [size=\"45950293\", alpha=\"0.03\", expect_size=\"13785088\"] \n  8 -> 11 [size =\"13785088\"]\n  9 [size=\"66880853\", alpha=\"0.17\", expect_size=\"20064256\"] \n  9 -> 12 [size =\"20064256\"]\n  10 [size=\"22104747\", alpha=\"0.07\", expect_size=\"6631424\"] \n  10 -> 14 [size =\"6631424\"]\n  11 [size=\"124559360\", alpha=\"0.00\", expect_size=\"37367808\"] \n  11 -> 15 [size =\"37367808\"]\n  11 -> 16 [size =\"37367808\"]\n  12 [size=\"26603520\", alpha=\"0.15\", expect_size=\"7981056\"] \n  13 [size=\"68044800\", alpha=\"0.10\", expect_size=\"20413440\"] \n  13 -> 15 [size =\"20413440\"]\n  14 [size=\"102625280\", alpha=\"0.05\", expect_size=\"30787584\"] \n  14 -> 17 [size =\"30787584\"]\n  14 -> 18 [size =\"30787584\"]\n  14 -> 19 [size =\"30787584\"]\n  14 -> 21 [size =\"30787584\"]\n  14 -> 23 [size =\"30787584\"]\n  15 [size=\"140390400\", alpha=\"0.08\", expect_size=\"42117120\"] \n  15 -> 20 [size =\"42117120\"]\n  15 -> 22 [size =\"42117120\"]\n  15 -> 23 [size =\"42117120\"]\n  16 [size=\"153876480\", alpha=\"0.09\", expect_size=\"46162944\"] \n  16 -> 18 [size =\"46162944\"]\n  16 -> 19 [size =\"46162944\"]\n  16 -> 24 [size =\"46162944\"]\n  17 [size=\"109748907\", alpha=\"0.08\", expect_size=\"32924672\"] \n  17 -> 32 [size =\"32924672\"]\n  18 [size=\"108100267\", alpha=\"0.14\", expect_size=\"32430080\"] \n  18 -> 25 [size =\"32430080\"]\n  18 -> 31 [size =\"32430080\"]\n  18 -> 32 [size =\"32430080\"]\n  19 [size=\"133672960\", alpha=\"0.20\", expect_size=\"40101888\"] \n  19 -> 26 [size =\"40101888\"]\n  20 [size=\"106601813\", alpha=\"0.16\", expect_size=\"31980544\"] \n  20 -> 26 [size =\"31980544\"]\n  20 -> 30 [size =\"31980544\"]\n  20 -> 32 [size =\"31980544\"]\n  21 [size=\"164051627\", alpha=\"0.02\", expect_size=\"49215488\"] \n  21 -> 25 [size =\"49215488\"]\n  21 -> 28 [size =\"49215488\"]\n  22 [size=\"165208747\", alpha=\"0.20\", expect_size=\"49562624\"] \n  22 -> 25 [size =\"49562624\"]\n  22 -> 26 [size =\"49562624\"]\n  23 [size=\"129419947\", alpha=\"0.07\", expect_size=\"38825984\"] \n  23 -> 30 [size =\"38825984\"]\n  23 -> 31 [size =\"38825984\"]\n  24 [size=\"47656960\", alpha=\"0.18\", expect_size=\"14297088\"] \n  24 -> 25 [size =\"14297088\"]\n  24 -> 27 [size =\"14297088\"]\n  24 -> 28 [size =\"14297088\"]\n  24 -> 29 [size =\"14297088\"]\n  24 -> 31 [size =\"14297088\"]\n  25 [size=\"86282240\", alpha=\"0.19\", expect_size=\"25884672\"] \n  25 -> 35 [size =\"25884672\"]\n  26 [size=\"148353707\", alpha=\"0.03\", expect_size=\"44506112\"] \n  26 -> 35 [size =\"44506112\"]\n  27 [size=\"60375040\", alpha=\"0.15\", expect_size=\"18112512\"] \n  27 -> 33 [size =\"18112512\"]\n  27 -> 35 [size =\"18112512\"]\n  27 -> 36 [size =\"18112512\"]\n  27 -> 37 [size =\"18112512\"]\n  28 [size=\"123637760\", alpha=\"0.11\", expect_size=\"37091328\"] \n  28 -> 34 [size =\"37091328\"]\n  28 -> 38 [size =\"37091328\"]\n  29 [size=\"74704213\", alpha=\"0.13\", expect_size=\"22411264\"] \n  29 -> 38 [size =\"22411264\"]\n  30 [size=\"73506133\", alpha=\"0.16\", expect_size=\"22051840\"] \n  30 -> 35 [size =\"22051840\"]\n  30 -> 37 [size =\"22051840\"]\n  31 [size=\"42475520\", alpha=\"0.12\", expect_size=\"12742656\"] \n  32 [size=\"58910720\", alpha=\"0.09\", expect_size=\"17673216\"] \n  32 -> 33 [size =\"17673216\"]\n  32 -> 34 [size =\"17673216\"]\n  32 -> 39 [size =\"17673216\"]\n  33 [size=\"57012907\", alpha=\"0.13\", expect_size=\"17103872\"] \n  33 -> 45 [size =\"17103872\"]\n  34 [size=\"111008427\", alpha=\"0.08\", expect_size=\"33302528\"] \n  34 -> 46 [size =\"33302528\"]\n  35 [size=\"98017280\", alpha=\"0.18\", expect_size=\"29405184\"] \n  35 -> 40 [size =\"29405184\"]\n  35 -> 41 [size =\"29405184\"]\n  36 [size=\"91900587\", alpha=\"0.06\", expect_size=\"27570176\"] \n  36 -> 42 [size =\"27570176\"]\n  36 -> 44 [size =\"27570176\"]\n  37 [size=\"116066987\", alpha=\"0.05\", expect_size=\"34820096\"] \n  37 -> 43 [size =\"34820096\"]\n  38 [size=\"78390613\", alpha=\"0.16\", expect_size=\"23517184\"] \n  39 [size=\"164642133\", alpha=\"0.02\", expect_size=\"49392640\"] \n  39 -> 45 [size =\"49392640\"]\n  40 [size=\"109646507\", alpha=\"0.19\", expect_size=\"32893952\"] \n  40 -> 48 [size =\"32893952\"]\n  41 [size=\"75328853\", alpha=\"0.14\", expect_size=\"22598656\"] \n  41 -> 48 [size =\"22598656\"]\n  42 [size=\"168768853\", alpha=\"0.09\", expect_size=\"50630656\"] \n  42 -> 49 [size =\"50630656\"]\n  43 [size=\"84527787\", alpha=\"0.17\", expect_size=\"25358336\"] \n  43 -> 49 [size =\"25358336\"]\n  44 [size=\"30464000\", alpha=\"0.10\", expect_size=\"9139200\"] \n  45 [size=\"91723093\", alpha=\"0.11\", expect_size=\"27516928\"] \n  45 -> 47 [size =\"27516928\"]\n  45 -> 48 [size =\"27516928\"]\n  45 -> 50 [size =\"27516928\"]\n  46 [size=\"76649813\", alpha=\"0.09\", expect_size=\"22994944\"] \n  46 -> 48 [size =\"22994944\"]\n  46 -> 50 [size =\"22994944\"]\n  47 [size=\"121647787\", alpha=\"0.12\", expect_size=\"36494336\"] \n  48 [size=\"161699840\", alpha=\"0.09\", expect_size=\"48509952\"] \n  49 [size=\"130146987\", alpha=\"0.13\", expect_size=\"39044096\"] \n  50 [size=\"143189333\", alpha=\"0.05\", expect_size=\"42956800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.369.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43373227\", alpha=\"0.14\", expect_size=\"13011968\"] \n  1 -> 4 [size =\"13011968\"]\n  1 -> 7 [size =\"13011968\"]\n  2 [size=\"157317120\", alpha=\"0.05\", expect_size=\"47195136\"] \n  2 -> 5 [size =\"47195136\"]\n  2 -> 6 [size =\"47195136\"]\n  2 -> 8 [size =\"47195136\"]\n  2 -> 9 [size =\"47195136\"]\n  3 [size=\"158590293\", alpha=\"0.15\", expect_size=\"47577088\"] \n  3 -> 7 [size =\"47577088\"]\n  3 -> 10 [size =\"47577088\"]\n  4 [size=\"35198293\", alpha=\"0.08\", expect_size=\"10559488\"] \n  4 -> 15 [size =\"10559488\"]\n  5 [size=\"109885440\", alpha=\"0.07\", expect_size=\"32965632\"] \n  5 -> 11 [size =\"32965632\"]\n  5 -> 15 [size =\"32965632\"]\n  5 -> 18 [size =\"32965632\"]\n  6 [size=\"36324693\", alpha=\"0.03\", expect_size=\"10897408\"] \n  6 -> 15 [size =\"10897408\"]\n  6 -> 18 [size =\"10897408\"]\n  7 [size=\"67822933\", alpha=\"0.13\", expect_size=\"20346880\"] \n  7 -> 14 [size =\"20346880\"]\n  7 -> 17 [size =\"20346880\"]\n  7 -> 18 [size =\"20346880\"]\n  8 [size=\"163986773\", alpha=\"0.03\", expect_size=\"49196032\"] \n  8 -> 11 [size =\"49196032\"]\n  8 -> 13 [size =\"49196032\"]\n  8 -> 15 [size =\"49196032\"]\n  8 -> 16 [size =\"49196032\"]\n  9 [size=\"123525120\", alpha=\"0.14\", expect_size=\"37057536\"] \n  9 -> 12 [size =\"37057536\"]\n  9 -> 14 [size =\"37057536\"]\n  9 -> 16 [size =\"37057536\"]\n  9 -> 18 [size =\"37057536\"]\n  10 [size=\"70423893\", alpha=\"0.06\", expect_size=\"21127168\"] \n  10 -> 13 [size =\"21127168\"]\n  11 [size=\"112732160\", alpha=\"0.10\", expect_size=\"33819648\"] \n  11 -> 20 [size =\"33819648\"]\n  11 -> 22 [size =\"33819648\"]\n  12 [size=\"66973013\", alpha=\"0.17\", expect_size=\"20091904\"] \n  12 -> 20 [size =\"20091904\"]\n  12 -> 21 [size =\"20091904\"]\n  12 -> 22 [size =\"20091904\"]\n  13 [size=\"107311787\", alpha=\"0.09\", expect_size=\"32193536\"] \n  13 -> 19 [size =\"32193536\"]\n  13 -> 20 [size =\"32193536\"]\n  14 [size=\"69591040\", alpha=\"0.11\", expect_size=\"20877312\"] \n  15 [size=\"132345173\", alpha=\"0.02\", expect_size=\"39703552\"] \n  15 -> 21 [size =\"39703552\"]\n  16 [size=\"29303467\", alpha=\"0.12\", expect_size=\"8791040\"] \n  16 -> 19 [size =\"8791040\"]\n  16 -> 21 [size =\"8791040\"]\n  16 -> 22 [size =\"8791040\"]\n  17 [size=\"54326613\", alpha=\"0.06\", expect_size=\"16297984\"] \n  17 -> 19 [size =\"16297984\"]\n  18 [size=\"155139413\", alpha=\"0.20\", expect_size=\"46541824\"] \n  18 -> 21 [size =\"46541824\"]\n  19 [size=\"20568747\", alpha=\"0.17\", expect_size=\"6170624\"] \n  19 -> 28 [size =\"6170624\"]\n  20 [size=\"127941973\", alpha=\"0.19\", expect_size=\"38382592\"] \n  20 -> 25 [size =\"38382592\"]\n  20 -> 26 [size =\"38382592\"]\n  20 -> 27 [size =\"38382592\"]\n  21 [size=\"20292267\", alpha=\"0.04\", expect_size=\"6087680\"] \n  21 -> 23 [size =\"6087680\"]\n  21 -> 27 [size =\"6087680\"]\n  22 [size=\"96266240\", alpha=\"0.07\", expect_size=\"28879872\"] \n  22 -> 24 [size =\"28879872\"]\n  22 -> 29 [size =\"28879872\"]\n  23 [size=\"74076160\", alpha=\"0.08\", expect_size=\"22222848\"] \n  23 -> 30 [size =\"22222848\"]\n  23 -> 33 [size =\"22222848\"]\n  23 -> 36 [size =\"22222848\"]\n  23 -> 37 [size =\"22222848\"]\n  24 [size=\"142987947\", alpha=\"0.11\", expect_size=\"42896384\"] \n  24 -> 32 [size =\"42896384\"]\n  24 -> 34 [size =\"42896384\"]\n  24 -> 36 [size =\"42896384\"]\n  25 [size=\"70123520\", alpha=\"0.06\", expect_size=\"21037056\"] \n  25 -> 32 [size =\"21037056\"]\n  25 -> 35 [size =\"21037056\"]\n  26 [size=\"86213973\", alpha=\"0.04\", expect_size=\"25864192\"] \n  26 -> 30 [size =\"25864192\"]\n  26 -> 31 [size =\"25864192\"]\n  27 [size=\"26357760\", alpha=\"0.07\", expect_size=\"7907328\"] \n  27 -> 31 [size =\"7907328\"]\n  28 [size=\"70461440\", alpha=\"0.10\", expect_size=\"21138432\"] \n  28 -> 30 [size =\"21138432\"]\n  28 -> 33 [size =\"21138432\"]\n  28 -> 34 [size =\"21138432\"]\n  28 -> 37 [size =\"21138432\"]\n  29 [size=\"68174507\", alpha=\"0.06\", expect_size=\"20452352\"] \n  29 -> 34 [size =\"20452352\"]\n  29 -> 36 [size =\"20452352\"]\n  29 -> 37 [size =\"20452352\"]\n  29 -> 37 [size =\"20452352\"]\n  30 [size=\"44598613\", alpha=\"0.08\", expect_size=\"13379584\"] \n  30 -> 41 [size =\"13379584\"]\n  30 -> 42 [size =\"13379584\"]\n  31 [size=\"36239360\", alpha=\"0.03\", expect_size=\"10871808\"] \n  31 -> 42 [size =\"10871808\"]\n  32 [size=\"69000533\", alpha=\"0.04\", expect_size=\"20700160\"] \n  32 -> 40 [size =\"20700160\"]\n  32 -> 41 [size =\"20700160\"]\n  32 -> 42 [size =\"20700160\"]\n  33 [size=\"125429760\", alpha=\"0.16\", expect_size=\"37628928\"] \n  33 -> 38 [size =\"37628928\"]\n  33 -> 41 [size =\"37628928\"]\n  34 [size=\"32075093\", alpha=\"0.16\", expect_size=\"9622528\"] \n  35 [size=\"121231360\", alpha=\"0.09\", expect_size=\"36369408\"] \n  36 [size=\"170738347\", alpha=\"0.04\", expect_size=\"51221504\"] \n  36 -> 39 [size =\"51221504\"]\n  36 -> 41 [size =\"51221504\"]\n  37 [size=\"42161493\", alpha=\"0.04\", expect_size=\"12648448\"] \n  38 [size=\"100420267\", alpha=\"0.02\", expect_size=\"30126080\"] \n  38 -> 44 [size =\"30126080\"]\n  38 -> 46 [size =\"30126080\"]\n  39 [size=\"20165973\", alpha=\"0.19\", expect_size=\"6049792\"] \n  39 -> 45 [size =\"6049792\"]\n  39 -> 49 [size =\"6049792\"]\n  40 [size=\"64737280\", alpha=\"0.11\", expect_size=\"19421184\"] \n  40 -> 43 [size =\"19421184\"]\n  40 -> 47 [size =\"19421184\"]\n  40 -> 48 [size =\"19421184\"]\n  40 -> 49 [size =\"19421184\"]\n  41 [size=\"129798827\", alpha=\"0.03\", expect_size=\"38939648\"] \n  41 -> 43 [size =\"38939648\"]\n  41 -> 47 [size =\"38939648\"]\n  41 -> 48 [size =\"38939648\"]\n  42 [size=\"153323520\", alpha=\"0.05\", expect_size=\"45997056\"] \n  42 -> 44 [size =\"45997056\"]\n  42 -> 47 [size =\"45997056\"]\n  42 -> 49 [size =\"45997056\"]\n  43 [size=\"27518293\", alpha=\"0.15\", expect_size=\"8255488\"] \n  44 [size=\"156801707\", alpha=\"0.00\", expect_size=\"47040512\"] \n  45 [size=\"121425920\", alpha=\"0.12\", expect_size=\"36427776\"] \n  46 [size=\"36263253\", alpha=\"0.13\", expect_size=\"10878976\"] \n  47 [size=\"70434133\", alpha=\"0.15\", expect_size=\"21130240\"] \n  47 -> 50 [size =\"21130240\"]\n  48 [size=\"103495680\", alpha=\"0.04\", expect_size=\"31048704\"] \n  49 [size=\"115831467\", alpha=\"0.19\", expect_size=\"34749440\"] \n  50 [size=\"110533973\", alpha=\"0.17\", expect_size=\"33160192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40073216\", alpha=\"0.14\", expect_size=\"20036608\"] \n  1 -> 2 [size =\"20036608\"]\n  2 [size=\"100198400\", alpha=\"0.18\", expect_size=\"50099200\"] \n  2 -> 3 [size =\"50099200\"]\n  3 [size=\"36171776\", alpha=\"0.02\", expect_size=\"18085888\"] \n  3 -> 4 [size =\"18085888\"]\n  4 [size=\"44726272\", alpha=\"0.13\", expect_size=\"22363136\"] \n  4 -> 5 [size =\"22363136\"]\n  5 [size=\"93892608\", alpha=\"0.13\", expect_size=\"46946304\"] \n  5 -> 6 [size =\"46946304\"]\n  6 [size=\"19243008\", alpha=\"0.18\", expect_size=\"9621504\"] \n  6 -> 7 [size =\"9621504\"]\n  7 [size=\"71882752\", alpha=\"0.14\", expect_size=\"35941376\"] \n  7 -> 8 [size =\"35941376\"]\n  8 [size=\"71063552\", alpha=\"0.05\", expect_size=\"35531776\"] \n  8 -> 9 [size =\"35531776\"]\n  9 [size=\"23740416\", alpha=\"0.13\", expect_size=\"11870208\"] \n  9 -> 10 [size =\"11870208\"]\n  10 [size=\"64317440\", alpha=\"0.14\", expect_size=\"32158720\"] \n  10 -> 11 [size =\"32158720\"]\n  11 [size=\"68345856\", alpha=\"0.14\", expect_size=\"34172928\"] \n  11 -> 12 [size =\"34172928\"]\n  12 [size=\"42020864\", alpha=\"0.06\", expect_size=\"21010432\"] \n  12 -> 13 [size =\"21010432\"]\n  13 [size=\"33257472\", alpha=\"0.01\", expect_size=\"16628736\"] \n  13 -> 14 [size =\"16628736\"]\n  14 [size=\"43812864\", alpha=\"0.02\", expect_size=\"21906432\"] \n  14 -> 15 [size =\"21906432\"]\n  15 [size=\"11470848\", alpha=\"0.14\", expect_size=\"5735424\"] \n  15 -> 16 [size =\"5735424\"]\n  16 [size=\"74713088\", alpha=\"0.12\", expect_size=\"37356544\"] \n  16 -> 17 [size =\"37356544\"]\n  17 [size=\"64450560\", alpha=\"0.07\", expect_size=\"32225280\"] \n  17 -> 18 [size =\"32225280\"]\n  18 [size=\"35848192\", alpha=\"0.13\", expect_size=\"17924096\"] \n  18 -> 19 [size =\"17924096\"]\n  19 [size=\"57628672\", alpha=\"0.05\", expect_size=\"28814336\"] \n  19 -> 20 [size =\"28814336\"]\n  20 [size=\"22804480\", alpha=\"0.10\", expect_size=\"11402240\"] \n  20 -> 21 [size =\"11402240\"]\n  21 [size=\"89980928\", alpha=\"0.01\", expect_size=\"44990464\"] \n  21 -> 22 [size =\"44990464\"]\n  22 [size=\"60116992\", alpha=\"0.12\", expect_size=\"30058496\"] \n  22 -> 23 [size =\"30058496\"]\n  23 [size=\"90144768\", alpha=\"0.08\", expect_size=\"45072384\"] \n  23 -> 24 [size =\"45072384\"]\n  24 [size=\"93251584\", alpha=\"0.11\", expect_size=\"46625792\"] \n  24 -> 25 [size =\"46625792\"]\n  25 [size=\"100550656\", alpha=\"0.12\", expect_size=\"50275328\"] \n  25 -> 26 [size =\"50275328\"]\n  26 [size=\"71673856\", alpha=\"0.15\", expect_size=\"35836928\"] \n  26 -> 27 [size =\"35836928\"]\n  27 [size=\"35997696\", alpha=\"0.11\", expect_size=\"17998848\"] \n  27 -> 28 [size =\"17998848\"]\n  28 [size=\"66945024\", alpha=\"0.20\", expect_size=\"33472512\"] \n  28 -> 29 [size =\"33472512\"]\n  29 [size=\"32530432\", alpha=\"0.11\", expect_size=\"16265216\"] \n  29 -> 30 [size =\"16265216\"]\n  30 [size=\"53975040\", alpha=\"0.14\", expect_size=\"26987520\"] \n  30 -> 31 [size =\"26987520\"]\n  31 [size=\"100548608\", alpha=\"0.09\", expect_size=\"50274304\"] \n  31 -> 32 [size =\"50274304\"]\n  32 [size=\"13090816\", alpha=\"0.11\", expect_size=\"6545408\"] \n  32 -> 33 [size =\"6545408\"]\n  33 [size=\"70064128\", alpha=\"0.18\", expect_size=\"35032064\"] \n  33 -> 34 [size =\"35032064\"]\n  34 [size=\"14036992\", alpha=\"0.12\", expect_size=\"7018496\"] \n  34 -> 35 [size =\"7018496\"]\n  35 [size=\"67995648\", alpha=\"0.06\", expect_size=\"33997824\"] \n  35 -> 36 [size =\"33997824\"]\n  36 [size=\"32233472\", alpha=\"0.13\", expect_size=\"16116736\"] \n  36 -> 37 [size =\"16116736\"]\n  37 [size=\"104251392\", alpha=\"0.12\", expect_size=\"52125696\"] \n  37 -> 38 [size =\"52125696\"]\n  38 [size=\"62334976\", alpha=\"0.17\", expect_size=\"31167488\"] \n  38 -> 39 [size =\"31167488\"]\n  39 [size=\"61431808\", alpha=\"0.11\", expect_size=\"30715904\"] \n  39 -> 40 [size =\"30715904\"]\n  40 [size=\"20428800\", alpha=\"0.08\", expect_size=\"10214400\"] \n  40 -> 41 [size =\"10214400\"]\n  41 [size=\"87525376\", alpha=\"0.02\", expect_size=\"43762688\"] \n  41 -> 42 [size =\"43762688\"]\n  42 [size=\"37470208\", alpha=\"0.06\", expect_size=\"18735104\"] \n  42 -> 43 [size =\"18735104\"]\n  43 [size=\"90542080\", alpha=\"0.07\", expect_size=\"45271040\"] \n  43 -> 44 [size =\"45271040\"]\n  44 [size=\"80771072\", alpha=\"0.06\", expect_size=\"40385536\"] \n  44 -> 45 [size =\"40385536\"]\n  45 [size=\"41482240\", alpha=\"0.04\", expect_size=\"20741120\"] \n  45 -> 46 [size =\"20741120\"]\n  46 [size=\"68036608\", alpha=\"0.15\", expect_size=\"34018304\"] \n  46 -> 47 [size =\"34018304\"]\n  47 [size=\"35917824\", alpha=\"0.11\", expect_size=\"17958912\"] \n  47 -> 48 [size =\"17958912\"]\n  48 [size=\"93464576\", alpha=\"0.19\", expect_size=\"46732288\"] \n  48 -> 49 [size =\"46732288\"]\n  49 [size=\"77297664\", alpha=\"0.12\", expect_size=\"38648832\"] \n  49 -> 50 [size =\"38648832\"]\n  50 [size=\"34557952\", alpha=\"0.14\", expect_size=\"17278976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.370.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76352853\", alpha=\"0.04\", expect_size=\"22905856\"] \n  1 -> 7 [size =\"22905856\"]\n  2 [size=\"21602987\", alpha=\"0.09\", expect_size=\"6480896\"] \n  2 -> 6 [size =\"6480896\"]\n  2 -> 9 [size =\"6480896\"]\n  2 -> 12 [size =\"6480896\"]\n  3 [size=\"53947733\", alpha=\"0.09\", expect_size=\"16184320\"] \n  3 -> 7 [size =\"16184320\"]\n  3 -> 8 [size =\"16184320\"]\n  3 -> 11 [size =\"16184320\"]\n  4 [size=\"61453653\", alpha=\"0.08\", expect_size=\"18436096\"] \n  4 -> 6 [size =\"18436096\"]\n  5 [size=\"22681600\", alpha=\"0.19\", expect_size=\"6804480\"] \n  5 -> 7 [size =\"6804480\"]\n  5 -> 10 [size =\"6804480\"]\n  5 -> 13 [size =\"6804480\"]\n  6 [size=\"29242027\", alpha=\"0.09\", expect_size=\"8772608\"] \n  7 [size=\"27593387\", alpha=\"0.07\", expect_size=\"8278016\"] \n  7 -> 18 [size =\"8278016\"]\n  7 -> 19 [size =\"8278016\"]\n  7 -> 21 [size =\"8278016\"]\n  8 [size=\"57122133\", alpha=\"0.12\", expect_size=\"17136640\"] \n  8 -> 19 [size =\"17136640\"]\n  8 -> 21 [size =\"17136640\"]\n  9 [size=\"29914453\", alpha=\"0.18\", expect_size=\"8974336\"] \n  9 -> 14 [size =\"8974336\"]\n  9 -> 15 [size =\"8974336\"]\n  9 -> 16 [size =\"8974336\"]\n  10 [size=\"93341013\", alpha=\"0.07\", expect_size=\"28002304\"] \n  10 -> 14 [size =\"28002304\"]\n  10 -> 15 [size =\"28002304\"]\n  10 -> 16 [size =\"28002304\"]\n  10 -> 20 [size =\"28002304\"]\n  11 [size=\"49227093\", alpha=\"0.03\", expect_size=\"14768128\"] \n  12 [size=\"77912747\", alpha=\"0.17\", expect_size=\"23373824\"] \n  12 -> 17 [size =\"23373824\"]\n  12 -> 20 [size =\"23373824\"]\n  12 -> 21 [size =\"23373824\"]\n  13 [size=\"152589653\", alpha=\"0.13\", expect_size=\"45776896\"] \n  13 -> 14 [size =\"45776896\"]\n  13 -> 18 [size =\"45776896\"]\n  14 [size=\"64037547\", alpha=\"0.03\", expect_size=\"19211264\"] \n  14 -> 22 [size =\"19211264\"]\n  14 -> 24 [size =\"19211264\"]\n  14 -> 26 [size =\"19211264\"]\n  15 [size=\"129460907\", alpha=\"0.07\", expect_size=\"38838272\"] \n  16 [size=\"123757227\", alpha=\"0.18\", expect_size=\"37127168\"] \n  16 -> 23 [size =\"37127168\"]\n  16 -> 27 [size =\"37127168\"]\n  17 [size=\"39901867\", alpha=\"0.12\", expect_size=\"11970560\"] \n  17 -> 22 [size =\"11970560\"]\n  17 -> 27 [size =\"11970560\"]\n  18 [size=\"92658347\", alpha=\"0.15\", expect_size=\"27797504\"] \n  18 -> 25 [size =\"27797504\"]\n  18 -> 27 [size =\"27797504\"]\n  19 [size=\"28791467\", alpha=\"0.15\", expect_size=\"8637440\"] \n  19 -> 25 [size =\"8637440\"]\n  19 -> 26 [size =\"8637440\"]\n  20 [size=\"168936107\", alpha=\"0.07\", expect_size=\"50680832\"] \n  20 -> 22 [size =\"50680832\"]\n  20 -> 26 [size =\"50680832\"]\n  21 [size=\"65385813\", alpha=\"0.06\", expect_size=\"19615744\"] \n  21 -> 22 [size =\"19615744\"]\n  22 [size=\"92330667\", alpha=\"0.06\", expect_size=\"27699200\"] \n  22 -> 32 [size =\"27699200\"]\n  23 [size=\"69935787\", alpha=\"0.10\", expect_size=\"20980736\"] \n  23 -> 29 [size =\"20980736\"]\n  23 -> 31 [size =\"20980736\"]\n  23 -> 33 [size =\"20980736\"]\n  24 [size=\"17623040\", alpha=\"0.00\", expect_size=\"5286912\"] \n  25 [size=\"42530133\", alpha=\"0.11\", expect_size=\"12759040\"] \n  25 -> 28 [size =\"12759040\"]\n  25 -> 31 [size =\"12759040\"]\n  25 -> 32 [size =\"12759040\"]\n  25 -> 33 [size =\"12759040\"]\n  26 [size=\"96689493\", alpha=\"0.03\", expect_size=\"29006848\"] \n  26 -> 28 [size =\"29006848\"]\n  26 -> 29 [size =\"29006848\"]\n  26 -> 33 [size =\"29006848\"]\n  27 [size=\"82708480\", alpha=\"0.16\", expect_size=\"24812544\"] \n  27 -> 28 [size =\"24812544\"]\n  27 -> 30 [size =\"24812544\"]\n  27 -> 31 [size =\"24812544\"]\n  28 [size=\"20927147\", alpha=\"0.15\", expect_size=\"6278144\"] \n  28 -> 34 [size =\"6278144\"]\n  28 -> 36 [size =\"6278144\"]\n  28 -> 37 [size =\"6278144\"]\n  28 -> 38 [size =\"6278144\"]\n  29 [size=\"139270827\", alpha=\"0.15\", expect_size=\"41781248\"] \n  29 -> 34 [size =\"41781248\"]\n  29 -> 39 [size =\"41781248\"]\n  29 -> 40 [size =\"41781248\"]\n  30 [size=\"98638507\", alpha=\"0.05\", expect_size=\"29591552\"] \n  30 -> 35 [size =\"29591552\"]\n  30 -> 38 [size =\"29591552\"]\n  30 -> 39 [size =\"29591552\"]\n  31 [size=\"150565547\", alpha=\"0.18\", expect_size=\"45169664\"] \n  31 -> 35 [size =\"45169664\"]\n  31 -> 40 [size =\"45169664\"]\n  32 [size=\"39359147\", alpha=\"0.20\", expect_size=\"11807744\"] \n  32 -> 37 [size =\"11807744\"]\n  33 [size=\"83722240\", alpha=\"0.19\", expect_size=\"25116672\"] \n  33 -> 34 [size =\"25116672\"]\n  33 -> 37 [size =\"25116672\"]\n  33 -> 39 [size =\"25116672\"]\n  34 [size=\"162839893\", alpha=\"0.03\", expect_size=\"48851968\"] \n  34 -> 41 [size =\"48851968\"]\n  34 -> 42 [size =\"48851968\"]\n  35 [size=\"163403093\", alpha=\"0.02\", expect_size=\"49020928\"] \n  35 -> 42 [size =\"49020928\"]\n  36 [size=\"90627413\", alpha=\"0.14\", expect_size=\"27188224\"] \n  36 -> 45 [size =\"27188224\"]\n  37 [size=\"113561600\", alpha=\"0.09\", expect_size=\"34068480\"] \n  37 -> 43 [size =\"34068480\"]\n  37 -> 45 [size =\"34068480\"]\n  38 [size=\"85039787\", alpha=\"0.14\", expect_size=\"25511936\"] \n  38 -> 41 [size =\"25511936\"]\n  38 -> 42 [size =\"25511936\"]\n  39 [size=\"44707840\", alpha=\"0.00\", expect_size=\"13412352\"] \n  39 -> 41 [size =\"13412352\"]\n  39 -> 44 [size =\"13412352\"]\n  39 -> 46 [size =\"13412352\"]\n  40 [size=\"162290347\", alpha=\"0.06\", expect_size=\"48687104\"] \n  40 -> 44 [size =\"48687104\"]\n  41 [size=\"41796267\", alpha=\"0.17\", expect_size=\"12538880\"] \n  41 -> 48 [size =\"12538880\"]\n  41 -> 50 [size =\"12538880\"]\n  42 [size=\"29556053\", alpha=\"0.18\", expect_size=\"8866816\"] \n  43 [size=\"28716373\", alpha=\"0.06\", expect_size=\"8614912\"] \n  43 -> 48 [size =\"8614912\"]\n  43 -> 49 [size =\"8614912\"]\n  44 [size=\"174390613\", alpha=\"0.14\", expect_size=\"52317184\"] \n  44 -> 49 [size =\"52317184\"]\n  44 -> 50 [size =\"52317184\"]\n  45 [size=\"41287680\", alpha=\"0.04\", expect_size=\"12386304\"] \n  45 -> 48 [size =\"12386304\"]\n  46 [size=\"55965013\", alpha=\"0.05\", expect_size=\"16789504\"] \n  46 -> 47 [size =\"16789504\"]\n  46 -> 49 [size =\"16789504\"]\n  47 [size=\"167420587\", alpha=\"0.15\", expect_size=\"50226176\"] \n  48 [size=\"83510613\", alpha=\"0.04\", expect_size=\"25053184\"] \n  49 [size=\"36700160\", alpha=\"0.10\", expect_size=\"11010048\"] \n  50 [size=\"38307840\", alpha=\"0.05\", expect_size=\"11492352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.371.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167321600\", alpha=\"0.06\", expect_size=\"50196480\"] \n  1 -> 38 [size =\"50196480\"]\n  1 -> 42 [size =\"50196480\"]\n  1 -> 43 [size =\"50196480\"]\n  1 -> 44 [size =\"50196480\"]\n  1 -> 50 [size =\"50196480\"]\n  2 [size=\"24541867\", alpha=\"0.06\", expect_size=\"7362560\"] \n  2 -> 38 [size =\"7362560\"]\n  2 -> 42 [size =\"7362560\"]\n  2 -> 43 [size =\"7362560\"]\n  3 [size=\"94566400\", alpha=\"0.04\", expect_size=\"28369920\"] \n  3 -> 38 [size =\"28369920\"]\n  3 -> 46 [size =\"28369920\"]\n  4 [size=\"73441280\", alpha=\"0.02\", expect_size=\"22032384\"] \n  4 -> 35 [size =\"22032384\"]\n  4 -> 38 [size =\"22032384\"]\n  4 -> 42 [size =\"22032384\"]\n  4 -> 43 [size =\"22032384\"]\n  4 -> 44 [size =\"22032384\"]\n  4 -> 46 [size =\"22032384\"]\n  4 -> 50 [size =\"22032384\"]\n  5 [size=\"131041280\", alpha=\"0.06\", expect_size=\"39312384\"] \n  5 -> 33 [size =\"39312384\"]\n  5 -> 34 [size =\"39312384\"]\n  5 -> 37 [size =\"39312384\"]\n  5 -> 42 [size =\"39312384\"]\n  5 -> 43 [size =\"39312384\"]\n  5 -> 47 [size =\"39312384\"]\n  5 -> 49 [size =\"39312384\"]\n  5 -> 50 [size =\"39312384\"]\n  6 [size=\"67249493\", alpha=\"0.05\", expect_size=\"20174848\"] \n  6 -> 33 [size =\"20174848\"]\n  6 -> 37 [size =\"20174848\"]\n  6 -> 42 [size =\"20174848\"]\n  6 -> 46 [size =\"20174848\"]\n  6 -> 50 [size =\"20174848\"]\n  7 [size=\"125651627\", alpha=\"0.08\", expect_size=\"37695488\"] \n  7 -> 38 [size =\"37695488\"]\n  7 -> 46 [size =\"37695488\"]\n  7 -> 48 [size =\"37695488\"]\n  8 [size=\"69215573\", alpha=\"0.09\", expect_size=\"20764672\"] \n  8 -> 37 [size =\"20764672\"]\n  8 -> 38 [size =\"20764672\"]\n  8 -> 41 [size =\"20764672\"]\n  8 -> 42 [size =\"20764672\"]\n  8 -> 46 [size =\"20764672\"]\n  8 -> 48 [size =\"20764672\"]\n  8 -> 50 [size =\"20764672\"]\n  9 [size=\"174458880\", alpha=\"0.01\", expect_size=\"52337664\"] \n  9 -> 33 [size =\"52337664\"]\n  9 -> 35 [size =\"52337664\"]\n  9 -> 36 [size =\"52337664\"]\n  9 -> 38 [size =\"52337664\"]\n  9 -> 46 [size =\"52337664\"]\n  10 [size=\"158525440\", alpha=\"0.10\", expect_size=\"47557632\"] \n  10 -> 34 [size =\"47557632\"]\n  10 -> 35 [size =\"47557632\"]\n  10 -> 36 [size =\"47557632\"]\n  10 -> 40 [size =\"47557632\"]\n  10 -> 45 [size =\"47557632\"]\n  10 -> 46 [size =\"47557632\"]\n  11 [size=\"25852587\", alpha=\"0.09\", expect_size=\"7755776\"] \n  11 -> 34 [size =\"7755776\"]\n  11 -> 35 [size =\"7755776\"]\n  11 -> 41 [size =\"7755776\"]\n  11 -> 42 [size =\"7755776\"]\n  11 -> 43 [size =\"7755776\"]\n  11 -> 46 [size =\"7755776\"]\n  12 [size=\"69157547\", alpha=\"0.13\", expect_size=\"20747264\"] \n  12 -> 35 [size =\"20747264\"]\n  12 -> 35 [size =\"20747264\"]\n  13 [size=\"118599680\", alpha=\"0.03\", expect_size=\"35579904\"] \n  13 -> 33 [size =\"35579904\"]\n  13 -> 34 [size =\"35579904\"]\n  13 -> 35 [size =\"35579904\"]\n  13 -> 44 [size =\"35579904\"]\n  13 -> 45 [size =\"35579904\"]\n  14 [size=\"151159467\", alpha=\"0.13\", expect_size=\"45347840\"] \n  14 -> 35 [size =\"45347840\"]\n  14 -> 42 [size =\"45347840\"]\n  14 -> 43 [size =\"45347840\"]\n  14 -> 44 [size =\"45347840\"]\n  14 -> 48 [size =\"45347840\"]\n  15 [size=\"164556800\", alpha=\"0.17\", expect_size=\"49367040\"] \n  15 -> 34 [size =\"49367040\"]\n  15 -> 35 [size =\"49367040\"]\n  15 -> 37 [size =\"49367040\"]\n  15 -> 43 [size =\"49367040\"]\n  15 -> 44 [size =\"49367040\"]\n  15 -> 46 [size =\"49367040\"]\n  15 -> 48 [size =\"49367040\"]\n  16 [size=\"55780693\", alpha=\"0.15\", expect_size=\"16734208\"] \n  16 -> 42 [size =\"16734208\"]\n  16 -> 44 [size =\"16734208\"]\n  16 -> 46 [size =\"16734208\"]\n  16 -> 49 [size =\"16734208\"]\n  16 -> 50 [size =\"16734208\"]\n  17 [size=\"95010133\", alpha=\"0.01\", expect_size=\"28503040\"] \n  17 -> 35 [size =\"28503040\"]\n  17 -> 37 [size =\"28503040\"]\n  17 -> 42 [size =\"28503040\"]\n  18 [size=\"154948267\", alpha=\"0.12\", expect_size=\"46484480\"] \n  18 -> 34 [size =\"46484480\"]\n  18 -> 35 [size =\"46484480\"]\n  18 -> 38 [size =\"46484480\"]\n  18 -> 42 [size =\"46484480\"]\n  18 -> 50 [size =\"46484480\"]\n  19 [size=\"66785280\", alpha=\"0.04\", expect_size=\"20035584\"] \n  19 -> 33 [size =\"20035584\"]\n  19 -> 35 [size =\"20035584\"]\n  19 -> 37 [size =\"20035584\"]\n  19 -> 44 [size =\"20035584\"]\n  19 -> 50 [size =\"20035584\"]\n  20 [size=\"72632320\", alpha=\"0.02\", expect_size=\"21789696\"] \n  20 -> 33 [size =\"21789696\"]\n  20 -> 34 [size =\"21789696\"]\n  20 -> 36 [size =\"21789696\"]\n  20 -> 37 [size =\"21789696\"]\n  20 -> 43 [size =\"21789696\"]\n  20 -> 44 [size =\"21789696\"]\n  20 -> 46 [size =\"21789696\"]\n  21 [size=\"153726293\", alpha=\"0.19\", expect_size=\"46117888\"] \n  21 -> 38 [size =\"46117888\"]\n  21 -> 49 [size =\"46117888\"]\n  21 -> 50 [size =\"46117888\"]\n  22 [size=\"68259840\", alpha=\"0.17\", expect_size=\"20477952\"] \n  22 -> 37 [size =\"20477952\"]\n  22 -> 38 [size =\"20477952\"]\n  22 -> 39 [size =\"20477952\"]\n  22 -> 40 [size =\"20477952\"]\n  22 -> 44 [size =\"20477952\"]\n  22 -> 50 [size =\"20477952\"]\n  23 [size=\"167932587\", alpha=\"0.04\", expect_size=\"50379776\"] \n  23 -> 35 [size =\"50379776\"]\n  23 -> 36 [size =\"50379776\"]\n  23 -> 37 [size =\"50379776\"]\n  23 -> 38 [size =\"50379776\"]\n  23 -> 42 [size =\"50379776\"]\n  23 -> 46 [size =\"50379776\"]\n  23 -> 50 [size =\"50379776\"]\n  24 [size=\"32344747\", alpha=\"0.19\", expect_size=\"9703424\"] \n  24 -> 34 [size =\"9703424\"]\n  24 -> 36 [size =\"9703424\"]\n  24 -> 37 [size =\"9703424\"]\n  24 -> 42 [size =\"9703424\"]\n  24 -> 46 [size =\"9703424\"]\n  24 -> 46 [size =\"9703424\"]\n  24 -> 48 [size =\"9703424\"]\n  25 [size=\"131932160\", alpha=\"0.08\", expect_size=\"39579648\"] \n  25 -> 34 [size =\"39579648\"]\n  25 -> 36 [size =\"39579648\"]\n  25 -> 37 [size =\"39579648\"]\n  25 -> 42 [size =\"39579648\"]\n  25 -> 46 [size =\"39579648\"]\n  26 [size=\"111435093\", alpha=\"0.04\", expect_size=\"33430528\"] \n  26 -> 34 [size =\"33430528\"]\n  26 -> 36 [size =\"33430528\"]\n  26 -> 38 [size =\"33430528\"]\n  26 -> 42 [size =\"33430528\"]\n  26 -> 44 [size =\"33430528\"]\n  27 [size=\"73058987\", alpha=\"0.13\", expect_size=\"21917696\"] \n  27 -> 37 [size =\"21917696\"]\n  27 -> 43 [size =\"21917696\"]\n  27 -> 46 [size =\"21917696\"]\n  27 -> 49 [size =\"21917696\"]\n  28 [size=\"82681173\", alpha=\"0.09\", expect_size=\"24804352\"] \n  28 -> 33 [size =\"24804352\"]\n  28 -> 35 [size =\"24804352\"]\n  28 -> 43 [size =\"24804352\"]\n  29 [size=\"19756373\", alpha=\"0.05\", expect_size=\"5926912\"] \n  29 -> 35 [size =\"5926912\"]\n  29 -> 36 [size =\"5926912\"]\n  29 -> 43 [size =\"5926912\"]\n  29 -> 44 [size =\"5926912\"]\n  29 -> 48 [size =\"5926912\"]\n  29 -> 49 [size =\"5926912\"]\n  30 [size=\"51572053\", alpha=\"0.19\", expect_size=\"15471616\"] \n  30 -> 35 [size =\"15471616\"]\n  30 -> 43 [size =\"15471616\"]\n  31 [size=\"66928640\", alpha=\"0.14\", expect_size=\"20078592\"] \n  31 -> 35 [size =\"20078592\"]\n  31 -> 37 [size =\"20078592\"]\n  31 -> 40 [size =\"20078592\"]\n  31 -> 46 [size =\"20078592\"]\n  32 [size=\"58395307\", alpha=\"0.15\", expect_size=\"17518592\"] \n  32 -> 34 [size =\"17518592\"]\n  32 -> 38 [size =\"17518592\"]\n  33 [size=\"33037653\", alpha=\"0.09\", expect_size=\"9911296\"] \n  34 [size=\"67952640\", alpha=\"0.01\", expect_size=\"20385792\"] \n  35 [size=\"61812053\", alpha=\"0.11\", expect_size=\"18543616\"] \n  36 [size=\"128191147\", alpha=\"0.05\", expect_size=\"38457344\"] \n  37 [size=\"159573333\", alpha=\"0.10\", expect_size=\"47872000\"] \n  38 [size=\"106850987\", alpha=\"0.12\", expect_size=\"32055296\"] \n  39 [size=\"21760000\", alpha=\"0.01\", expect_size=\"6528000\"] \n  40 [size=\"61289813\", alpha=\"0.16\", expect_size=\"18386944\"] \n  41 [size=\"51916800\", alpha=\"0.09\", expect_size=\"15575040\"] \n  42 [size=\"159303680\", alpha=\"0.08\", expect_size=\"47791104\"] \n  43 [size=\"120565760\", alpha=\"0.07\", expect_size=\"36169728\"] \n  44 [size=\"36823040\", alpha=\"0.07\", expect_size=\"11046912\"] \n  45 [size=\"41765547\", alpha=\"0.02\", expect_size=\"12529664\"] \n  46 [size=\"125187413\", alpha=\"0.09\", expect_size=\"37556224\"] \n  47 [size=\"168106667\", alpha=\"0.02\", expect_size=\"50432000\"] \n  48 [size=\"90770773\", alpha=\"0.05\", expect_size=\"27231232\"] \n  49 [size=\"30658560\", alpha=\"0.07\", expect_size=\"9197568\"] \n  50 [size=\"37082453\", alpha=\"0.14\", expect_size=\"11124736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.372.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70965248\", alpha=\"0.08\", expect_size=\"35482624\"] \n  1 -> 17 [size =\"35482624\"]\n  1 -> 20 [size =\"35482624\"]\n  1 -> 21 [size =\"35482624\"]\n  1 -> 22 [size =\"35482624\"]\n  1 -> 25 [size =\"35482624\"]\n  1 -> 26 [size =\"35482624\"]\n  1 -> 26 [size =\"35482624\"]\n  2 [size=\"48379904\", alpha=\"0.03\", expect_size=\"24189952\"] \n  2 -> 16 [size =\"24189952\"]\n  2 -> 18 [size =\"24189952\"]\n  2 -> 24 [size =\"24189952\"]\n  2 -> 25 [size =\"24189952\"]\n  2 -> 26 [size =\"24189952\"]\n  2 -> 26 [size =\"24189952\"]\n  2 -> 27 [size =\"24189952\"]\n  3 [size=\"78688256\", alpha=\"0.06\", expect_size=\"39344128\"] \n  3 -> 17 [size =\"39344128\"]\n  3 -> 19 [size =\"39344128\"]\n  3 -> 21 [size =\"39344128\"]\n  3 -> 26 [size =\"39344128\"]\n  3 -> 27 [size =\"39344128\"]\n  4 [size=\"75132928\", alpha=\"0.13\", expect_size=\"37566464\"] \n  4 -> 17 [size =\"37566464\"]\n  4 -> 18 [size =\"37566464\"]\n  4 -> 21 [size =\"37566464\"]\n  4 -> 27 [size =\"37566464\"]\n  4 -> 27 [size =\"37566464\"]\n  4 -> 28 [size =\"37566464\"]\n  5 [size=\"26286080\", alpha=\"0.15\", expect_size=\"13143040\"] \n  5 -> 16 [size =\"13143040\"]\n  5 -> 17 [size =\"13143040\"]\n  5 -> 18 [size =\"13143040\"]\n  5 -> 19 [size =\"13143040\"]\n  5 -> 20 [size =\"13143040\"]\n  5 -> 22 [size =\"13143040\"]\n  5 -> 25 [size =\"13143040\"]\n  5 -> 27 [size =\"13143040\"]\n  6 [size=\"64120832\", alpha=\"0.08\", expect_size=\"32060416\"] \n  6 -> 15 [size =\"32060416\"]\n  6 -> 16 [size =\"32060416\"]\n  6 -> 17 [size =\"32060416\"]\n  6 -> 19 [size =\"32060416\"]\n  6 -> 23 [size =\"32060416\"]\n  6 -> 26 [size =\"32060416\"]\n  7 [size=\"84217856\", alpha=\"0.10\", expect_size=\"42108928\"] \n  7 -> 18 [size =\"42108928\"]\n  7 -> 22 [size =\"42108928\"]\n  7 -> 26 [size =\"42108928\"]\n  8 [size=\"94652416\", alpha=\"0.20\", expect_size=\"47326208\"] \n  8 -> 17 [size =\"47326208\"]\n  8 -> 19 [size =\"47326208\"]\n  8 -> 22 [size =\"47326208\"]\n  8 -> 25 [size =\"47326208\"]\n  8 -> 27 [size =\"47326208\"]\n  9 [size=\"30777344\", alpha=\"0.12\", expect_size=\"15388672\"] \n  9 -> 20 [size =\"15388672\"]\n  9 -> 21 [size =\"15388672\"]\n  9 -> 22 [size =\"15388672\"]\n  9 -> 23 [size =\"15388672\"]\n  9 -> 25 [size =\"15388672\"]\n  9 -> 27 [size =\"15388672\"]\n  10 [size=\"49078272\", alpha=\"0.13\", expect_size=\"24539136\"] \n  10 -> 16 [size =\"24539136\"]\n  10 -> 18 [size =\"24539136\"]\n  10 -> 20 [size =\"24539136\"]\n  10 -> 21 [size =\"24539136\"]\n  10 -> 22 [size =\"24539136\"]\n  10 -> 23 [size =\"24539136\"]\n  10 -> 25 [size =\"24539136\"]\n  10 -> 27 [size =\"24539136\"]\n  11 [size=\"56600576\", alpha=\"0.03\", expect_size=\"28300288\"] \n  11 -> 15 [size =\"28300288\"]\n  11 -> 16 [size =\"28300288\"]\n  11 -> 17 [size =\"28300288\"]\n  11 -> 19 [size =\"28300288\"]\n  11 -> 21 [size =\"28300288\"]\n  11 -> 22 [size =\"28300288\"]\n  11 -> 25 [size =\"28300288\"]\n  11 -> 27 [size =\"28300288\"]\n  11 -> 28 [size =\"28300288\"]\n  12 [size=\"94087168\", alpha=\"0.15\", expect_size=\"47043584\"] \n  12 -> 15 [size =\"47043584\"]\n  12 -> 16 [size =\"47043584\"]\n  12 -> 20 [size =\"47043584\"]\n  12 -> 21 [size =\"47043584\"]\n  12 -> 22 [size =\"47043584\"]\n  12 -> 22 [size =\"47043584\"]\n  12 -> 24 [size =\"47043584\"]\n  12 -> 25 [size =\"47043584\"]\n  13 [size=\"15878144\", alpha=\"0.09\", expect_size=\"7939072\"] \n  13 -> 15 [size =\"7939072\"]\n  13 -> 16 [size =\"7939072\"]\n  13 -> 19 [size =\"7939072\"]\n  13 -> 21 [size =\"7939072\"]\n  13 -> 24 [size =\"7939072\"]\n  13 -> 25 [size =\"7939072\"]\n  13 -> 28 [size =\"7939072\"]\n  14 [size=\"43708416\", alpha=\"0.03\", expect_size=\"21854208\"] \n  14 -> 16 [size =\"21854208\"]\n  14 -> 16 [size =\"21854208\"]\n  14 -> 19 [size =\"21854208\"]\n  14 -> 20 [size =\"21854208\"]\n  14 -> 23 [size =\"21854208\"]\n  14 -> 25 [size =\"21854208\"]\n  14 -> 26 [size =\"21854208\"]\n  14 -> 27 [size =\"21854208\"]\n  14 -> 28 [size =\"21854208\"]\n  15 [size=\"10878976\", alpha=\"0.19\", expect_size=\"5439488\"] \n  15 -> 29 [size =\"5439488\"]\n  15 -> 36 [size =\"5439488\"]\n  15 -> 36 [size =\"5439488\"]\n  15 -> 39 [size =\"5439488\"]\n  15 -> 39 [size =\"5439488\"]\n  15 -> 40 [size =\"5439488\"]\n  16 [size=\"83388416\", alpha=\"0.16\", expect_size=\"41694208\"] \n  16 -> 33 [size =\"41694208\"]\n  16 -> 36 [size =\"41694208\"]\n  16 -> 38 [size =\"41694208\"]\n  17 [size=\"27527168\", alpha=\"0.07\", expect_size=\"13763584\"] \n  17 -> 33 [size =\"13763584\"]\n  17 -> 34 [size =\"13763584\"]\n  17 -> 35 [size =\"13763584\"]\n  17 -> 36 [size =\"13763584\"]\n  17 -> 37 [size =\"13763584\"]\n  17 -> 38 [size =\"13763584\"]\n  17 -> 39 [size =\"13763584\"]\n  17 -> 41 [size =\"13763584\"]\n  18 [size=\"73869312\", alpha=\"0.15\", expect_size=\"36934656\"] \n  18 -> 33 [size =\"36934656\"]\n  18 -> 34 [size =\"36934656\"]\n  18 -> 36 [size =\"36934656\"]\n  18 -> 37 [size =\"36934656\"]\n  18 -> 40 [size =\"36934656\"]\n  18 -> 41 [size =\"36934656\"]\n  19 [size=\"72429568\", alpha=\"0.05\", expect_size=\"36214784\"] \n  19 -> 31 [size =\"36214784\"]\n  19 -> 33 [size =\"36214784\"]\n  19 -> 34 [size =\"36214784\"]\n  19 -> 36 [size =\"36214784\"]\n  19 -> 37 [size =\"36214784\"]\n  19 -> 41 [size =\"36214784\"]\n  20 [size=\"36255744\", alpha=\"0.05\", expect_size=\"18127872\"] \n  20 -> 30 [size =\"18127872\"]\n  20 -> 31 [size =\"18127872\"]\n  20 -> 32 [size =\"18127872\"]\n  20 -> 33 [size =\"18127872\"]\n  20 -> 37 [size =\"18127872\"]\n  20 -> 41 [size =\"18127872\"]\n  21 [size=\"99676160\", alpha=\"0.18\", expect_size=\"49838080\"] \n  21 -> 31 [size =\"49838080\"]\n  21 -> 32 [size =\"49838080\"]\n  21 -> 33 [size =\"49838080\"]\n  21 -> 33 [size =\"49838080\"]\n  21 -> 35 [size =\"49838080\"]\n  21 -> 36 [size =\"49838080\"]\n  21 -> 37 [size =\"49838080\"]\n  21 -> 38 [size =\"49838080\"]\n  22 [size=\"19963904\", alpha=\"0.19\", expect_size=\"9981952\"] \n  22 -> 33 [size =\"9981952\"]\n  22 -> 37 [size =\"9981952\"]\n  22 -> 38 [size =\"9981952\"]\n  22 -> 39 [size =\"9981952\"]\n  23 [size=\"90982400\", alpha=\"0.14\", expect_size=\"45491200\"] \n  23 -> 33 [size =\"45491200\"]\n  23 -> 34 [size =\"45491200\"]\n  23 -> 36 [size =\"45491200\"]\n  23 -> 37 [size =\"45491200\"]\n  23 -> 39 [size =\"45491200\"]\n  23 -> 41 [size =\"45491200\"]\n  24 [size=\"36947968\", alpha=\"0.03\", expect_size=\"18473984\"] \n  24 -> 34 [size =\"18473984\"]\n  24 -> 34 [size =\"18473984\"]\n  24 -> 37 [size =\"18473984\"]\n  24 -> 39 [size =\"18473984\"]\n  24 -> 41 [size =\"18473984\"]\n  25 [size=\"48936960\", alpha=\"0.15\", expect_size=\"24468480\"] \n  25 -> 31 [size =\"24468480\"]\n  25 -> 35 [size =\"24468480\"]\n  25 -> 36 [size =\"24468480\"]\n  25 -> 37 [size =\"24468480\"]\n  25 -> 39 [size =\"24468480\"]\n  26 [size=\"45662208\", alpha=\"0.18\", expect_size=\"22831104\"] \n  26 -> 29 [size =\"22831104\"]\n  26 -> 31 [size =\"22831104\"]\n  26 -> 35 [size =\"22831104\"]\n  26 -> 39 [size =\"22831104\"]\n  27 [size=\"25827328\", alpha=\"0.17\", expect_size=\"12913664\"] \n  27 -> 31 [size =\"12913664\"]\n  27 -> 38 [size =\"12913664\"]\n  27 -> 39 [size =\"12913664\"]\n  27 -> 40 [size =\"12913664\"]\n  28 [size=\"59006976\", alpha=\"0.15\", expect_size=\"29503488\"] \n  28 -> 31 [size =\"29503488\"]\n  28 -> 35 [size =\"29503488\"]\n  28 -> 36 [size =\"29503488\"]\n  28 -> 38 [size =\"29503488\"]\n  28 -> 39 [size =\"29503488\"]\n  28 -> 40 [size =\"29503488\"]\n  28 -> 41 [size =\"29503488\"]\n  29 [size=\"36182016\", alpha=\"0.16\", expect_size=\"18091008\"] \n  29 -> 42 [size =\"18091008\"]\n  29 -> 43 [size =\"18091008\"]\n  29 -> 47 [size =\"18091008\"]\n  29 -> 50 [size =\"18091008\"]\n  30 [size=\"61626368\", alpha=\"0.05\", expect_size=\"30813184\"] \n  30 -> 43 [size =\"30813184\"]\n  31 [size=\"86310912\", alpha=\"0.05\", expect_size=\"43155456\"] \n  31 -> 42 [size =\"43155456\"]\n  31 -> 43 [size =\"43155456\"]\n  31 -> 45 [size =\"43155456\"]\n  32 [size=\"76345344\", alpha=\"0.02\", expect_size=\"38172672\"] \n  32 -> 42 [size =\"38172672\"]\n  32 -> 45 [size =\"38172672\"]\n  32 -> 50 [size =\"38172672\"]\n  33 [size=\"69621760\", alpha=\"0.20\", expect_size=\"34810880\"] \n  33 -> 45 [size =\"34810880\"]\n  33 -> 45 [size =\"34810880\"]\n  34 [size=\"39972864\", alpha=\"0.05\", expect_size=\"19986432\"] \n  34 -> 45 [size =\"19986432\"]\n  35 [size=\"52049920\", alpha=\"0.10\", expect_size=\"26024960\"] \n  35 -> 42 [size =\"26024960\"]\n  35 -> 43 [size =\"26024960\"]\n  35 -> 45 [size =\"26024960\"]\n  35 -> 50 [size =\"26024960\"]\n  36 [size=\"27279360\", alpha=\"0.11\", expect_size=\"13639680\"] \n  36 -> 42 [size =\"13639680\"]\n  36 -> 43 [size =\"13639680\"]\n  36 -> 45 [size =\"13639680\"]\n  36 -> 48 [size =\"13639680\"]\n  36 -> 50 [size =\"13639680\"]\n  37 [size=\"19298304\", alpha=\"0.15\", expect_size=\"9649152\"] \n  37 -> 43 [size =\"9649152\"]\n  37 -> 48 [size =\"9649152\"]\n  37 -> 50 [size =\"9649152\"]\n  38 [size=\"101840896\", alpha=\"0.13\", expect_size=\"50920448\"] \n  38 -> 42 [size =\"50920448\"]\n  38 -> 43 [size =\"50920448\"]\n  38 -> 48 [size =\"50920448\"]\n  38 -> 50 [size =\"50920448\"]\n  39 [size=\"75958272\", alpha=\"0.04\", expect_size=\"37979136\"] \n  39 -> 42 [size =\"37979136\"]\n  39 -> 45 [size =\"37979136\"]\n  39 -> 46 [size =\"37979136\"]\n  39 -> 48 [size =\"37979136\"]\n  39 -> 49 [size =\"37979136\"]\n  39 -> 50 [size =\"37979136\"]\n  40 [size=\"56315904\", alpha=\"0.00\", expect_size=\"28157952\"] \n  40 -> 44 [size =\"28157952\"]\n  40 -> 45 [size =\"28157952\"]\n  41 [size=\"81504256\", alpha=\"0.15\", expect_size=\"40752128\"] \n  41 -> 42 [size =\"40752128\"]\n  41 -> 48 [size =\"40752128\"]\n  41 -> 50 [size =\"40752128\"]\n  42 [size=\"103270400\", alpha=\"0.13\", expect_size=\"51635200\"] \n  43 [size=\"16472064\", alpha=\"0.07\", expect_size=\"8236032\"] \n  44 [size=\"15247360\", alpha=\"0.07\", expect_size=\"7623680\"] \n  45 [size=\"38449152\", alpha=\"0.15\", expect_size=\"19224576\"] \n  46 [size=\"86472704\", alpha=\"0.11\", expect_size=\"43236352\"] \n  47 [size=\"43474944\", alpha=\"0.09\", expect_size=\"21737472\"] \n  48 [size=\"20871168\", alpha=\"0.18\", expect_size=\"10435584\"] \n  49 [size=\"82046976\", alpha=\"0.13\", expect_size=\"41023488\"] \n  50 [size=\"100202496\", alpha=\"0.18\", expect_size=\"50101248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.373.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11567104\", alpha=\"0.02\", expect_size=\"5783552\"] \n  1 -> 20 [size =\"5783552\"]\n  1 -> 21 [size =\"5783552\"]\n  1 -> 29 [size =\"5783552\"]\n  2 [size=\"57165824\", alpha=\"0.07\", expect_size=\"28582912\"] \n  2 -> 20 [size =\"28582912\"]\n  2 -> 21 [size =\"28582912\"]\n  2 -> 24 [size =\"28582912\"]\n  2 -> 25 [size =\"28582912\"]\n  2 -> 26 [size =\"28582912\"]\n  2 -> 31 [size =\"28582912\"]\n  3 [size=\"33634304\", alpha=\"0.02\", expect_size=\"16817152\"] \n  3 -> 21 [size =\"16817152\"]\n  3 -> 21 [size =\"16817152\"]\n  3 -> 24 [size =\"16817152\"]\n  3 -> 26 [size =\"16817152\"]\n  3 -> 26 [size =\"16817152\"]\n  3 -> 27 [size =\"16817152\"]\n  3 -> 31 [size =\"16817152\"]\n  4 [size=\"38139904\", alpha=\"0.12\", expect_size=\"19069952\"] \n  4 -> 19 [size =\"19069952\"]\n  4 -> 26 [size =\"19069952\"]\n  4 -> 31 [size =\"19069952\"]\n  5 [size=\"61079552\", alpha=\"0.13\", expect_size=\"30539776\"] \n  5 -> 19 [size =\"30539776\"]\n  5 -> 26 [size =\"30539776\"]\n  5 -> 28 [size =\"30539776\"]\n  5 -> 31 [size =\"30539776\"]\n  6 [size=\"95303680\", alpha=\"0.11\", expect_size=\"47651840\"] \n  6 -> 19 [size =\"47651840\"]\n  6 -> 22 [size =\"47651840\"]\n  6 -> 26 [size =\"47651840\"]\n  6 -> 27 [size =\"47651840\"]\n  6 -> 31 [size =\"47651840\"]\n  7 [size=\"76097536\", alpha=\"0.19\", expect_size=\"38048768\"] \n  7 -> 19 [size =\"38048768\"]\n  7 -> 21 [size =\"38048768\"]\n  7 -> 26 [size =\"38048768\"]\n  7 -> 27 [size =\"38048768\"]\n  7 -> 31 [size =\"38048768\"]\n  8 [size=\"44535808\", alpha=\"0.08\", expect_size=\"22267904\"] \n  8 -> 19 [size =\"22267904\"]\n  8 -> 20 [size =\"22267904\"]\n  8 -> 21 [size =\"22267904\"]\n  8 -> 22 [size =\"22267904\"]\n  8 -> 26 [size =\"22267904\"]\n  8 -> 27 [size =\"22267904\"]\n  8 -> 28 [size =\"22267904\"]\n  8 -> 31 [size =\"22267904\"]\n  9 [size=\"49451008\", alpha=\"0.07\", expect_size=\"24725504\"] \n  9 -> 26 [size =\"24725504\"]\n  9 -> 31 [size =\"24725504\"]\n  10 [size=\"41308160\", alpha=\"0.01\", expect_size=\"20654080\"] \n  10 -> 19 [size =\"20654080\"]\n  10 -> 21 [size =\"20654080\"]\n  10 -> 23 [size =\"20654080\"]\n  10 -> 26 [size =\"20654080\"]\n  10 -> 28 [size =\"20654080\"]\n  11 [size=\"15228928\", alpha=\"0.19\", expect_size=\"7614464\"] \n  11 -> 20 [size =\"7614464\"]\n  11 -> 26 [size =\"7614464\"]\n  11 -> 27 [size =\"7614464\"]\n  11 -> 30 [size =\"7614464\"]\n  12 [size=\"26920960\", alpha=\"0.04\", expect_size=\"13460480\"] \n  12 -> 22 [size =\"13460480\"]\n  12 -> 24 [size =\"13460480\"]\n  12 -> 27 [size =\"13460480\"]\n  12 -> 30 [size =\"13460480\"]\n  13 [size=\"59598848\", alpha=\"0.14\", expect_size=\"29799424\"] \n  13 -> 20 [size =\"29799424\"]\n  13 -> 21 [size =\"29799424\"]\n  13 -> 22 [size =\"29799424\"]\n  13 -> 24 [size =\"29799424\"]\n  13 -> 27 [size =\"29799424\"]\n  13 -> 29 [size =\"29799424\"]\n  13 -> 30 [size =\"29799424\"]\n  13 -> 31 [size =\"29799424\"]\n  14 [size=\"69455872\", alpha=\"0.17\", expect_size=\"34727936\"] \n  14 -> 19 [size =\"34727936\"]\n  14 -> 22 [size =\"34727936\"]\n  14 -> 24 [size =\"34727936\"]\n  15 [size=\"29806592\", alpha=\"0.05\", expect_size=\"14903296\"] \n  15 -> 21 [size =\"14903296\"]\n  15 -> 29 [size =\"14903296\"]\n  16 [size=\"92573696\", alpha=\"0.15\", expect_size=\"46286848\"] \n  16 -> 19 [size =\"46286848\"]\n  16 -> 22 [size =\"46286848\"]\n  16 -> 24 [size =\"46286848\"]\n  16 -> 29 [size =\"46286848\"]\n  16 -> 30 [size =\"46286848\"]\n  16 -> 31 [size =\"46286848\"]\n  17 [size=\"48132096\", alpha=\"0.11\", expect_size=\"24066048\"] \n  17 -> 19 [size =\"24066048\"]\n  17 -> 20 [size =\"24066048\"]\n  17 -> 21 [size =\"24066048\"]\n  17 -> 22 [size =\"24066048\"]\n  17 -> 25 [size =\"24066048\"]\n  17 -> 31 [size =\"24066048\"]\n  18 [size=\"44863488\", alpha=\"0.18\", expect_size=\"22431744\"] \n  18 -> 21 [size =\"22431744\"]\n  18 -> 26 [size =\"22431744\"]\n  18 -> 29 [size =\"22431744\"]\n  18 -> 31 [size =\"22431744\"]\n  19 [size=\"82028544\", alpha=\"0.01\", expect_size=\"41014272\"] \n  19 -> 38 [size =\"41014272\"]\n  19 -> 39 [size =\"41014272\"]\n  19 -> 41 [size =\"41014272\"]\n  19 -> 44 [size =\"41014272\"]\n  19 -> 45 [size =\"41014272\"]\n  19 -> 46 [size =\"41014272\"]\n  19 -> 47 [size =\"41014272\"]\n  20 [size=\"22597632\", alpha=\"0.10\", expect_size=\"11298816\"] \n  20 -> 34 [size =\"11298816\"]\n  20 -> 35 [size =\"11298816\"]\n  20 -> 36 [size =\"11298816\"]\n  20 -> 41 [size =\"11298816\"]\n  20 -> 43 [size =\"11298816\"]\n  20 -> 45 [size =\"11298816\"]\n  21 [size=\"25884672\", alpha=\"0.19\", expect_size=\"12942336\"] \n  21 -> 33 [size =\"12942336\"]\n  21 -> 35 [size =\"12942336\"]\n  21 -> 40 [size =\"12942336\"]\n  21 -> 41 [size =\"12942336\"]\n  21 -> 43 [size =\"12942336\"]\n  21 -> 46 [size =\"12942336\"]\n  22 [size=\"22519808\", alpha=\"0.19\", expect_size=\"11259904\"] \n  22 -> 32 [size =\"11259904\"]\n  22 -> 34 [size =\"11259904\"]\n  22 -> 35 [size =\"11259904\"]\n  22 -> 36 [size =\"11259904\"]\n  22 -> 40 [size =\"11259904\"]\n  22 -> 46 [size =\"11259904\"]\n  23 [size=\"39297024\", alpha=\"0.03\", expect_size=\"19648512\"] \n  23 -> 34 [size =\"19648512\"]\n  23 -> 35 [size =\"19648512\"]\n  23 -> 40 [size =\"19648512\"]\n  23 -> 43 [size =\"19648512\"]\n  23 -> 45 [size =\"19648512\"]\n  23 -> 46 [size =\"19648512\"]\n  24 [size=\"103712768\", alpha=\"0.13\", expect_size=\"51856384\"] \n  24 -> 32 [size =\"51856384\"]\n  24 -> 33 [size =\"51856384\"]\n  24 -> 39 [size =\"51856384\"]\n  24 -> 40 [size =\"51856384\"]\n  24 -> 47 [size =\"51856384\"]\n  25 [size=\"91668480\", alpha=\"0.14\", expect_size=\"45834240\"] \n  25 -> 35 [size =\"45834240\"]\n  25 -> 40 [size =\"45834240\"]\n  25 -> 41 [size =\"45834240\"]\n  25 -> 44 [size =\"45834240\"]\n  25 -> 45 [size =\"45834240\"]\n  25 -> 46 [size =\"45834240\"]\n  25 -> 47 [size =\"45834240\"]\n  26 [size=\"20629504\", alpha=\"0.13\", expect_size=\"10314752\"] \n  26 -> 32 [size =\"10314752\"]\n  26 -> 33 [size =\"10314752\"]\n  26 -> 35 [size =\"10314752\"]\n  26 -> 40 [size =\"10314752\"]\n  26 -> 41 [size =\"10314752\"]\n  26 -> 42 [size =\"10314752\"]\n  26 -> 45 [size =\"10314752\"]\n  27 [size=\"89118720\", alpha=\"0.06\", expect_size=\"44559360\"] \n  27 -> 32 [size =\"44559360\"]\n  27 -> 33 [size =\"44559360\"]\n  27 -> 34 [size =\"44559360\"]\n  27 -> 35 [size =\"44559360\"]\n  27 -> 37 [size =\"44559360\"]\n  27 -> 38 [size =\"44559360\"]\n  27 -> 44 [size =\"44559360\"]\n  27 -> 45 [size =\"44559360\"]\n  27 -> 47 [size =\"44559360\"]\n  28 [size=\"45744128\", alpha=\"0.05\", expect_size=\"22872064\"] \n  28 -> 33 [size =\"22872064\"]\n  28 -> 34 [size =\"22872064\"]\n  28 -> 36 [size =\"22872064\"]\n  28 -> 37 [size =\"22872064\"]\n  28 -> 46 [size =\"22872064\"]\n  28 -> 47 [size =\"22872064\"]\n  29 [size=\"34295808\", alpha=\"0.14\", expect_size=\"17147904\"] \n  29 -> 37 [size =\"17147904\"]\n  29 -> 40 [size =\"17147904\"]\n  29 -> 43 [size =\"17147904\"]\n  29 -> 45 [size =\"17147904\"]\n  30 [size=\"37304320\", alpha=\"0.08\", expect_size=\"18652160\"] \n  30 -> 32 [size =\"18652160\"]\n  30 -> 33 [size =\"18652160\"]\n  30 -> 35 [size =\"18652160\"]\n  30 -> 36 [size =\"18652160\"]\n  30 -> 41 [size =\"18652160\"]\n  30 -> 43 [size =\"18652160\"]\n  30 -> 47 [size =\"18652160\"]\n  31 [size=\"83912704\", alpha=\"0.04\", expect_size=\"41956352\"] \n  31 -> 32 [size =\"41956352\"]\n  31 -> 33 [size =\"41956352\"]\n  31 -> 47 [size =\"41956352\"]\n  32 [size=\"80826368\", alpha=\"0.03\", expect_size=\"40413184\"] \n  33 [size=\"74729472\", alpha=\"0.13\", expect_size=\"37364736\"] \n  33 -> 49 [size =\"37364736\"]\n  33 -> 50 [size =\"37364736\"]\n  34 [size=\"88770560\", alpha=\"0.15\", expect_size=\"44385280\"] \n  34 -> 49 [size =\"44385280\"]\n  35 [size=\"56233984\", alpha=\"0.01\", expect_size=\"28116992\"] \n  35 -> 49 [size =\"28116992\"]\n  35 -> 50 [size =\"28116992\"]\n  36 [size=\"27709440\", alpha=\"0.05\", expect_size=\"13854720\"] \n  36 -> 49 [size =\"13854720\"]\n  37 [size=\"88020992\", alpha=\"0.17\", expect_size=\"44010496\"] \n  37 -> 49 [size =\"44010496\"]\n  37 -> 50 [size =\"44010496\"]\n  38 [size=\"19664896\", alpha=\"0.15\", expect_size=\"9832448\"] \n  38 -> 48 [size =\"9832448\"]\n  38 -> 49 [size =\"9832448\"]\n  38 -> 50 [size =\"9832448\"]\n  39 [size=\"45436928\", alpha=\"0.10\", expect_size=\"22718464\"] \n  39 -> 48 [size =\"22718464\"]\n  39 -> 49 [size =\"22718464\"]\n  39 -> 50 [size =\"22718464\"]\n  40 [size=\"15556608\", alpha=\"0.06\", expect_size=\"7778304\"] \n  40 -> 48 [size =\"7778304\"]\n  40 -> 50 [size =\"7778304\"]\n  40 -> 50 [size =\"7778304\"]\n  41 [size=\"55220224\", alpha=\"0.06\", expect_size=\"27610112\"] \n  41 -> 48 [size =\"27610112\"]\n  41 -> 49 [size =\"27610112\"]\n  41 -> 50 [size =\"27610112\"]\n  42 [size=\"74799104\", alpha=\"0.08\", expect_size=\"37399552\"] \n  42 -> 48 [size =\"37399552\"]\n  42 -> 50 [size =\"37399552\"]\n  42 -> 50 [size =\"37399552\"]\n  43 [size=\"90730496\", alpha=\"0.17\", expect_size=\"45365248\"] \n  44 [size=\"57755648\", alpha=\"0.05\", expect_size=\"28877824\"] \n  44 -> 48 [size =\"28877824\"]\n  45 [size=\"34844672\", alpha=\"0.11\", expect_size=\"17422336\"] \n  45 -> 49 [size =\"17422336\"]\n  46 [size=\"41322496\", alpha=\"0.18\", expect_size=\"20661248\"] \n  46 -> 49 [size =\"20661248\"]\n  46 -> 50 [size =\"20661248\"]\n  47 [size=\"64903168\", alpha=\"0.03\", expect_size=\"32451584\"] \n  48 [size=\"48865280\", alpha=\"0.15\", expect_size=\"24432640\"] \n  49 [size=\"27586560\", alpha=\"0.11\", expect_size=\"13793280\"] \n  50 [size=\"72607744\", alpha=\"0.14\", expect_size=\"36303872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.374.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"138649600\", alpha=\"0.18\", expect_size=\"41594880\"] \n  1 -> 36 [size =\"41594880\"]\n  1 -> 48 [size =\"41594880\"]\n  1 -> 49 [size =\"41594880\"]\n  2 [size=\"75970560\", alpha=\"0.02\", expect_size=\"22791168\"] \n  2 -> 39 [size =\"22791168\"]\n  2 -> 43 [size =\"22791168\"]\n  2 -> 45 [size =\"22791168\"]\n  2 -> 47 [size =\"22791168\"]\n  2 -> 48 [size =\"22791168\"]\n  2 -> 49 [size =\"22791168\"]\n  2 -> 50 [size =\"22791168\"]\n  3 [size=\"68655787\", alpha=\"0.05\", expect_size=\"20596736\"] \n  3 -> 36 [size =\"20596736\"]\n  3 -> 38 [size =\"20596736\"]\n  3 -> 39 [size =\"20596736\"]\n  3 -> 46 [size =\"20596736\"]\n  3 -> 48 [size =\"20596736\"]\n  4 [size=\"147995307\", alpha=\"0.18\", expect_size=\"44398592\"] \n  4 -> 36 [size =\"44398592\"]\n  4 -> 39 [size =\"44398592\"]\n  4 -> 41 [size =\"44398592\"]\n  4 -> 42 [size =\"44398592\"]\n  4 -> 44 [size =\"44398592\"]\n  4 -> 45 [size =\"44398592\"]\n  4 -> 48 [size =\"44398592\"]\n  4 -> 49 [size =\"44398592\"]\n  4 -> 50 [size =\"44398592\"]\n  5 [size=\"123593387\", alpha=\"0.18\", expect_size=\"37078016\"] \n  5 -> 36 [size =\"37078016\"]\n  5 -> 42 [size =\"37078016\"]\n  5 -> 45 [size =\"37078016\"]\n  5 -> 47 [size =\"37078016\"]\n  5 -> 50 [size =\"37078016\"]\n  6 [size=\"81257813\", alpha=\"0.15\", expect_size=\"24377344\"] \n  6 -> 39 [size =\"24377344\"]\n  6 -> 42 [size =\"24377344\"]\n  6 -> 44 [size =\"24377344\"]\n  6 -> 47 [size =\"24377344\"]\n  6 -> 49 [size =\"24377344\"]\n  6 -> 50 [size =\"24377344\"]\n  7 [size=\"37280427\", alpha=\"0.12\", expect_size=\"11184128\"] \n  7 -> 41 [size =\"11184128\"]\n  7 -> 42 [size =\"11184128\"]\n  7 -> 44 [size =\"11184128\"]\n  7 -> 45 [size =\"11184128\"]\n  7 -> 47 [size =\"11184128\"]\n  7 -> 49 [size =\"11184128\"]\n  8 [size=\"105601707\", alpha=\"0.16\", expect_size=\"31680512\"] \n  8 -> 39 [size =\"31680512\"]\n  8 -> 40 [size =\"31680512\"]\n  8 -> 41 [size =\"31680512\"]\n  8 -> 46 [size =\"31680512\"]\n  8 -> 48 [size =\"31680512\"]\n  8 -> 49 [size =\"31680512\"]\n  9 [size=\"137342293\", alpha=\"0.02\", expect_size=\"41202688\"] \n  9 -> 39 [size =\"41202688\"]\n  9 -> 40 [size =\"41202688\"]\n  9 -> 42 [size =\"41202688\"]\n  9 -> 43 [size =\"41202688\"]\n  9 -> 46 [size =\"41202688\"]\n  9 -> 49 [size =\"41202688\"]\n  9 -> 50 [size =\"41202688\"]\n  10 [size=\"62487893\", alpha=\"0.15\", expect_size=\"18746368\"] \n  10 -> 38 [size =\"18746368\"]\n  10 -> 39 [size =\"18746368\"]\n  10 -> 43 [size =\"18746368\"]\n  10 -> 45 [size =\"18746368\"]\n  10 -> 49 [size =\"18746368\"]\n  11 [size=\"162542933\", alpha=\"0.12\", expect_size=\"48762880\"] \n  11 -> 39 [size =\"48762880\"]\n  11 -> 42 [size =\"48762880\"]\n  11 -> 43 [size =\"48762880\"]\n  11 -> 49 [size =\"48762880\"]\n  12 [size=\"143824213\", alpha=\"0.09\", expect_size=\"43147264\"] \n  12 -> 36 [size =\"43147264\"]\n  12 -> 38 [size =\"43147264\"]\n  12 -> 39 [size =\"43147264\"]\n  12 -> 42 [size =\"43147264\"]\n  12 -> 43 [size =\"43147264\"]\n  12 -> 45 [size =\"43147264\"]\n  12 -> 48 [size =\"43147264\"]\n  12 -> 49 [size =\"43147264\"]\n  13 [size=\"157416107\", alpha=\"0.19\", expect_size=\"47224832\"] \n  13 -> 36 [size =\"47224832\"]\n  13 -> 39 [size =\"47224832\"]\n  13 -> 43 [size =\"47224832\"]\n  13 -> 44 [size =\"47224832\"]\n  13 -> 47 [size =\"47224832\"]\n  13 -> 48 [size =\"47224832\"]\n  13 -> 49 [size =\"47224832\"]\n  13 -> 50 [size =\"47224832\"]\n  14 [size=\"42007893\", alpha=\"0.17\", expect_size=\"12602368\"] \n  14 -> 36 [size =\"12602368\"]\n  14 -> 39 [size =\"12602368\"]\n  14 -> 41 [size =\"12602368\"]\n  14 -> 46 [size =\"12602368\"]\n  14 -> 48 [size =\"12602368\"]\n  14 -> 48 [size =\"12602368\"]\n  14 -> 49 [size =\"12602368\"]\n  15 [size=\"26115413\", alpha=\"0.17\", expect_size=\"7834624\"] \n  15 -> 37 [size =\"7834624\"]\n  15 -> 38 [size =\"7834624\"]\n  15 -> 39 [size =\"7834624\"]\n  15 -> 41 [size =\"7834624\"]\n  15 -> 45 [size =\"7834624\"]\n  15 -> 46 [size =\"7834624\"]\n  15 -> 48 [size =\"7834624\"]\n  15 -> 49 [size =\"7834624\"]\n  16 [size=\"168007680\", alpha=\"0.18\", expect_size=\"50402304\"] \n  16 -> 38 [size =\"50402304\"]\n  16 -> 43 [size =\"50402304\"]\n  16 -> 45 [size =\"50402304\"]\n  16 -> 50 [size =\"50402304\"]\n  17 [size=\"124863147\", alpha=\"0.01\", expect_size=\"37458944\"] \n  17 -> 38 [size =\"37458944\"]\n  17 -> 41 [size =\"37458944\"]\n  17 -> 43 [size =\"37458944\"]\n  17 -> 45 [size =\"37458944\"]\n  17 -> 47 [size =\"37458944\"]\n  17 -> 50 [size =\"37458944\"]\n  18 [size=\"62682453\", alpha=\"0.20\", expect_size=\"18804736\"] \n  18 -> 42 [size =\"18804736\"]\n  18 -> 44 [size =\"18804736\"]\n  18 -> 45 [size =\"18804736\"]\n  19 [size=\"34959360\", alpha=\"0.16\", expect_size=\"10487808\"] \n  19 -> 38 [size =\"10487808\"]\n  19 -> 39 [size =\"10487808\"]\n  19 -> 42 [size =\"10487808\"]\n  19 -> 44 [size =\"10487808\"]\n  19 -> 45 [size =\"10487808\"]\n  19 -> 46 [size =\"10487808\"]\n  19 -> 49 [size =\"10487808\"]\n  20 [size=\"51145387\", alpha=\"0.08\", expect_size=\"15343616\"] \n  20 -> 39 [size =\"15343616\"]\n  20 -> 43 [size =\"15343616\"]\n  20 -> 45 [size =\"15343616\"]\n  20 -> 46 [size =\"15343616\"]\n  20 -> 47 [size =\"15343616\"]\n  21 [size=\"166591147\", alpha=\"0.15\", expect_size=\"49977344\"] \n  21 -> 42 [size =\"49977344\"]\n  21 -> 43 [size =\"49977344\"]\n  21 -> 44 [size =\"49977344\"]\n  21 -> 45 [size =\"49977344\"]\n  21 -> 46 [size =\"49977344\"]\n  21 -> 48 [size =\"49977344\"]\n  21 -> 50 [size =\"49977344\"]\n  22 [size=\"103444480\", alpha=\"0.10\", expect_size=\"31033344\"] \n  22 -> 39 [size =\"31033344\"]\n  22 -> 41 [size =\"31033344\"]\n  22 -> 42 [size =\"31033344\"]\n  22 -> 43 [size =\"31033344\"]\n  22 -> 45 [size =\"31033344\"]\n  22 -> 50 [size =\"31033344\"]\n  22 -> 50 [size =\"31033344\"]\n  23 [size=\"173469013\", alpha=\"0.12\", expect_size=\"52040704\"] \n  23 -> 38 [size =\"52040704\"]\n  23 -> 39 [size =\"52040704\"]\n  23 -> 41 [size =\"52040704\"]\n  23 -> 42 [size =\"52040704\"]\n  23 -> 43 [size =\"52040704\"]\n  23 -> 44 [size =\"52040704\"]\n  23 -> 45 [size =\"52040704\"]\n  23 -> 48 [size =\"52040704\"]\n  23 -> 49 [size =\"52040704\"]\n  23 -> 50 [size =\"52040704\"]\n  24 [size=\"167434240\", alpha=\"0.10\", expect_size=\"50230272\"] \n  24 -> 39 [size =\"50230272\"]\n  24 -> 41 [size =\"50230272\"]\n  24 -> 41 [size =\"50230272\"]\n  24 -> 43 [size =\"50230272\"]\n  24 -> 43 [size =\"50230272\"]\n  24 -> 45 [size =\"50230272\"]\n  24 -> 45 [size =\"50230272\"]\n  24 -> 47 [size =\"50230272\"]\n  24 -> 48 [size =\"50230272\"]\n  24 -> 49 [size =\"50230272\"]\n  25 [size=\"146926933\", alpha=\"0.01\", expect_size=\"44078080\"] \n  25 -> 39 [size =\"44078080\"]\n  25 -> 41 [size =\"44078080\"]\n  25 -> 43 [size =\"44078080\"]\n  25 -> 44 [size =\"44078080\"]\n  25 -> 48 [size =\"44078080\"]\n  26 [size=\"126446933\", alpha=\"0.01\", expect_size=\"37934080\"] \n  26 -> 40 [size =\"37934080\"]\n  26 -> 47 [size =\"37934080\"]\n  26 -> 48 [size =\"37934080\"]\n  27 [size=\"114278400\", alpha=\"0.03\", expect_size=\"34283520\"] \n  27 -> 39 [size =\"34283520\"]\n  27 -> 40 [size =\"34283520\"]\n  27 -> 42 [size =\"34283520\"]\n  27 -> 44 [size =\"34283520\"]\n  27 -> 47 [size =\"34283520\"]\n  28 [size=\"123982507\", alpha=\"0.16\", expect_size=\"37194752\"] \n  28 -> 41 [size =\"37194752\"]\n  28 -> 44 [size =\"37194752\"]\n  28 -> 45 [size =\"37194752\"]\n  28 -> 46 [size =\"37194752\"]\n  28 -> 48 [size =\"37194752\"]\n  29 [size=\"122118827\", alpha=\"0.05\", expect_size=\"36635648\"] \n  29 -> 39 [size =\"36635648\"]\n  29 -> 40 [size =\"36635648\"]\n  29 -> 41 [size =\"36635648\"]\n  29 -> 45 [size =\"36635648\"]\n  29 -> 47 [size =\"36635648\"]\n  29 -> 48 [size =\"36635648\"]\n  30 [size=\"86766933\", alpha=\"0.19\", expect_size=\"26030080\"] \n  30 -> 38 [size =\"26030080\"]\n  30 -> 41 [size =\"26030080\"]\n  30 -> 41 [size =\"26030080\"]\n  30 -> 47 [size =\"26030080\"]\n  30 -> 50 [size =\"26030080\"]\n  31 [size=\"146585600\", alpha=\"0.12\", expect_size=\"43975680\"] \n  31 -> 40 [size =\"43975680\"]\n  31 -> 41 [size =\"43975680\"]\n  31 -> 44 [size =\"43975680\"]\n  31 -> 49 [size =\"43975680\"]\n  32 [size=\"108168533\", alpha=\"0.01\", expect_size=\"32450560\"] \n  32 -> 39 [size =\"32450560\"]\n  32 -> 41 [size =\"32450560\"]\n  32 -> 42 [size =\"32450560\"]\n  32 -> 44 [size =\"32450560\"]\n  32 -> 47 [size =\"32450560\"]\n  32 -> 48 [size =\"32450560\"]\n  32 -> 49 [size =\"32450560\"]\n  33 [size=\"30023680\", alpha=\"0.08\", expect_size=\"9007104\"] \n  33 -> 39 [size =\"9007104\"]\n  33 -> 41 [size =\"9007104\"]\n  33 -> 44 [size =\"9007104\"]\n  33 -> 48 [size =\"9007104\"]\n  33 -> 49 [size =\"9007104\"]\n  34 [size=\"120606720\", alpha=\"0.17\", expect_size=\"36182016\"] \n  34 -> 39 [size =\"36182016\"]\n  34 -> 45 [size =\"36182016\"]\n  34 -> 47 [size =\"36182016\"]\n  34 -> 48 [size =\"36182016\"]\n  34 -> 50 [size =\"36182016\"]\n  35 [size=\"38591147\", alpha=\"0.08\", expect_size=\"11577344\"] \n  35 -> 41 [size =\"11577344\"]\n  35 -> 43 [size =\"11577344\"]\n  35 -> 45 [size =\"11577344\"]\n  35 -> 46 [size =\"11577344\"]\n  35 -> 48 [size =\"11577344\"]\n  35 -> 50 [size =\"11577344\"]\n  36 [size=\"47377067\", alpha=\"0.18\", expect_size=\"14213120\"] \n  37 [size=\"53459627\", alpha=\"0.02\", expect_size=\"16037888\"] \n  38 [size=\"76646400\", alpha=\"0.11\", expect_size=\"22993920\"] \n  39 [size=\"47783253\", alpha=\"0.03\", expect_size=\"14334976\"] \n  40 [size=\"86729387\", alpha=\"0.19\", expect_size=\"26018816\"] \n  41 [size=\"81220267\", alpha=\"0.14\", expect_size=\"24366080\"] \n  42 [size=\"19029333\", alpha=\"0.20\", expect_size=\"5708800\"] \n  43 [size=\"26511360\", alpha=\"0.05\", expect_size=\"7953408\"] \n  44 [size=\"86316373\", alpha=\"0.10\", expect_size=\"25894912\"] \n  45 [size=\"65696427\", alpha=\"0.11\", expect_size=\"19708928\"] \n  46 [size=\"130570240\", alpha=\"0.06\", expect_size=\"39171072\"] \n  47 [size=\"116906667\", alpha=\"0.14\", expect_size=\"35072000\"] \n  48 [size=\"132085760\", alpha=\"0.14\", expect_size=\"39625728\"] \n  49 [size=\"64034133\", alpha=\"0.09\", expect_size=\"19210240\"] \n  50 [size=\"87517867\", alpha=\"0.12\", expect_size=\"26255360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.375.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94129493\", alpha=\"0.17\", expect_size=\"28238848\"] \n  1 -> 3 [size =\"28238848\"]\n  2 [size=\"57617067\", alpha=\"0.13\", expect_size=\"17285120\"] \n  2 -> 3 [size =\"17285120\"]\n  2 -> 4 [size =\"17285120\"]\n  3 [size=\"136342187\", alpha=\"0.06\", expect_size=\"40902656\"] \n  3 -> 5 [size =\"40902656\"]\n  3 -> 6 [size =\"40902656\"]\n  3 -> 7 [size =\"40902656\"]\n  4 [size=\"32812373\", alpha=\"0.03\", expect_size=\"9843712\"] \n  4 -> 5 [size =\"9843712\"]\n  4 -> 6 [size =\"9843712\"]\n  4 -> 7 [size =\"9843712\"]\n  5 [size=\"111069867\", alpha=\"0.10\", expect_size=\"33320960\"] \n  5 -> 9 [size =\"33320960\"]\n  6 [size=\"120521387\", alpha=\"0.18\", expect_size=\"36156416\"] \n  6 -> 8 [size =\"36156416\"]\n  7 [size=\"148131840\", alpha=\"0.11\", expect_size=\"44439552\"] \n  7 -> 8 [size =\"44439552\"]\n  8 [size=\"22046720\", alpha=\"0.14\", expect_size=\"6614016\"] \n  8 -> 10 [size =\"6614016\"]\n  8 -> 11 [size =\"6614016\"]\n  9 [size=\"164369067\", alpha=\"0.02\", expect_size=\"49310720\"] \n  9 -> 10 [size =\"49310720\"]\n  9 -> 11 [size =\"49310720\"]\n  10 [size=\"152084480\", alpha=\"0.17\", expect_size=\"45625344\"] \n  10 -> 12 [size =\"45625344\"]\n  10 -> 13 [size =\"45625344\"]\n  11 [size=\"109124267\", alpha=\"0.03\", expect_size=\"32737280\"] \n  11 -> 12 [size =\"32737280\"]\n  12 [size=\"87244800\", alpha=\"0.16\", expect_size=\"26173440\"] \n  12 -> 15 [size =\"26173440\"]\n  13 [size=\"31959040\", alpha=\"0.13\", expect_size=\"9587712\"] \n  13 -> 14 [size =\"9587712\"]\n  13 -> 15 [size =\"9587712\"]\n  14 [size=\"79397547\", alpha=\"0.20\", expect_size=\"23819264\"] \n  14 -> 16 [size =\"23819264\"]\n  14 -> 17 [size =\"23819264\"]\n  15 [size=\"106164907\", alpha=\"0.11\", expect_size=\"31849472\"] \n  15 -> 16 [size =\"31849472\"]\n  16 [size=\"23616853\", alpha=\"0.06\", expect_size=\"7085056\"] \n  16 -> 18 [size =\"7085056\"]\n  16 -> 19 [size =\"7085056\"]\n  17 [size=\"165376000\", alpha=\"0.06\", expect_size=\"49612800\"] \n  17 -> 19 [size =\"49612800\"]\n  18 [size=\"93429760\", alpha=\"0.06\", expect_size=\"28028928\"] \n  18 -> 20 [size =\"28028928\"]\n  18 -> 21 [size =\"28028928\"]\n  19 [size=\"43994453\", alpha=\"0.11\", expect_size=\"13198336\"] \n  19 -> 21 [size =\"13198336\"]\n  20 [size=\"60054187\", alpha=\"0.17\", expect_size=\"18016256\"] \n  20 -> 22 [size =\"18016256\"]\n  20 -> 23 [size =\"18016256\"]\n  21 [size=\"36710400\", alpha=\"0.12\", expect_size=\"11013120\"] \n  21 -> 23 [size =\"11013120\"]\n  22 [size=\"56978773\", alpha=\"0.13\", expect_size=\"17093632\"] \n  22 -> 24 [size =\"17093632\"]\n  22 -> 25 [size =\"17093632\"]\n  22 -> 26 [size =\"17093632\"]\n  23 [size=\"22415360\", alpha=\"0.09\", expect_size=\"6724608\"] \n  23 -> 24 [size =\"6724608\"]\n  23 -> 25 [size =\"6724608\"]\n  23 -> 26 [size =\"6724608\"]\n  24 [size=\"125914453\", alpha=\"0.06\", expect_size=\"37774336\"] \n  24 -> 27 [size =\"37774336\"]\n  24 -> 28 [size =\"37774336\"]\n  25 [size=\"124518400\", alpha=\"0.16\", expect_size=\"37355520\"] \n  25 -> 27 [size =\"37355520\"]\n  26 [size=\"56091307\", alpha=\"0.18\", expect_size=\"16827392\"] \n  26 -> 27 [size =\"16827392\"]\n  26 -> 28 [size =\"16827392\"]\n  27 [size=\"104130560\", alpha=\"0.17\", expect_size=\"31239168\"] \n  27 -> 31 [size =\"31239168\"]\n  28 [size=\"154374827\", alpha=\"0.17\", expect_size=\"46312448\"] \n  28 -> 29 [size =\"46312448\"]\n  28 -> 30 [size =\"46312448\"]\n  28 -> 31 [size =\"46312448\"]\n  29 [size=\"47759360\", alpha=\"0.15\", expect_size=\"14327808\"] \n  29 -> 32 [size =\"14327808\"]\n  29 -> 33 [size =\"14327808\"]\n  30 [size=\"138014720\", alpha=\"0.11\", expect_size=\"41404416\"] \n  30 -> 32 [size =\"41404416\"]\n  31 [size=\"115292160\", alpha=\"0.18\", expect_size=\"34587648\"] \n  32 [size=\"56248320\", alpha=\"0.14\", expect_size=\"16874496\"] \n  32 -> 34 [size =\"16874496\"]\n  32 -> 35 [size =\"16874496\"]\n  33 [size=\"158306987\", alpha=\"0.12\", expect_size=\"47492096\"] \n  33 -> 34 [size =\"47492096\"]\n  33 -> 35 [size =\"47492096\"]\n  33 -> 36 [size =\"47492096\"]\n  34 [size=\"68485120\", alpha=\"0.18\", expect_size=\"20545536\"] \n  34 -> 37 [size =\"20545536\"]\n  35 [size=\"116684800\", alpha=\"0.15\", expect_size=\"35005440\"] \n  35 -> 37 [size =\"35005440\"]\n  36 [size=\"81933653\", alpha=\"0.13\", expect_size=\"24580096\"] \n  36 -> 37 [size =\"24580096\"]\n  36 -> 38 [size =\"24580096\"]\n  37 [size=\"67280213\", alpha=\"0.10\", expect_size=\"20184064\"] \n  37 -> 39 [size =\"20184064\"]\n  37 -> 40 [size =\"20184064\"]\n  38 [size=\"46093653\", alpha=\"0.16\", expect_size=\"13828096\"] \n  38 -> 39 [size =\"13828096\"]\n  39 [size=\"22944427\", alpha=\"0.06\", expect_size=\"6883328\"] \n  39 -> 41 [size =\"6883328\"]\n  39 -> 42 [size =\"6883328\"]\n  39 -> 43 [size =\"6883328\"]\n  40 [size=\"144725333\", alpha=\"0.01\", expect_size=\"43417600\"] \n  40 -> 41 [size =\"43417600\"]\n  40 -> 42 [size =\"43417600\"]\n  40 -> 43 [size =\"43417600\"]\n  41 [size=\"74192213\", alpha=\"0.18\", expect_size=\"22257664\"] \n  41 -> 45 [size =\"22257664\"]\n  42 [size=\"60276053\", alpha=\"0.01\", expect_size=\"18082816\"] \n  42 -> 44 [size =\"18082816\"]\n  42 -> 45 [size =\"18082816\"]\n  43 [size=\"172752213\", alpha=\"0.04\", expect_size=\"51825664\"] \n  44 [size=\"111527253\", alpha=\"0.01\", expect_size=\"33458176\"] \n  44 -> 46 [size =\"33458176\"]\n  44 -> 48 [size =\"33458176\"]\n  45 [size=\"95815680\", alpha=\"0.12\", expect_size=\"28744704\"] \n  45 -> 46 [size =\"28744704\"]\n  45 -> 47 [size =\"28744704\"]\n  46 [size=\"57023147\", alpha=\"0.07\", expect_size=\"17106944\"] \n  46 -> 49 [size =\"17106944\"]\n  46 -> 50 [size =\"17106944\"]\n  47 [size=\"158576640\", alpha=\"0.14\", expect_size=\"47572992\"] \n  47 -> 49 [size =\"47572992\"]\n  47 -> 50 [size =\"47572992\"]\n  48 [size=\"76520107\", alpha=\"0.18\", expect_size=\"22956032\"] \n  48 -> 49 [size =\"22956032\"]\n  48 -> 50 [size =\"22956032\"]\n  49 [size=\"44093440\", alpha=\"0.05\", expect_size=\"13228032\"] \n  50 [size=\"87818240\", alpha=\"0.08\", expect_size=\"26345472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.376.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18286080\", alpha=\"0.03\", expect_size=\"7314432\"] \n  1 -> 19 [size =\"7314432\"]\n  1 -> 20 [size =\"7314432\"]\n  1 -> 22 [size =\"7314432\"]\n  1 -> 23 [size =\"7314432\"]\n  2 [size=\"78333440\", alpha=\"0.19\", expect_size=\"31333376\"] \n  2 -> 18 [size =\"31333376\"]\n  2 -> 19 [size =\"31333376\"]\n  2 -> 20 [size =\"31333376\"]\n  2 -> 21 [size =\"31333376\"]\n  2 -> 23 [size =\"31333376\"]\n  3 [size=\"107875840\", alpha=\"0.08\", expect_size=\"43150336\"] \n  3 -> 17 [size =\"43150336\"]\n  3 -> 19 [size =\"43150336\"]\n  3 -> 20 [size =\"43150336\"]\n  3 -> 21 [size =\"43150336\"]\n  3 -> 22 [size =\"43150336\"]\n  4 [size=\"89277440\", alpha=\"0.06\", expect_size=\"35710976\"] \n  4 -> 19 [size =\"35710976\"]\n  4 -> 21 [size =\"35710976\"]\n  5 [size=\"106987520\", alpha=\"0.10\", expect_size=\"42795008\"] \n  5 -> 16 [size =\"42795008\"]\n  5 -> 17 [size =\"42795008\"]\n  5 -> 20 [size =\"42795008\"]\n  5 -> 23 [size =\"42795008\"]\n  6 [size=\"15232000\", alpha=\"0.13\", expect_size=\"6092800\"] \n  6 -> 15 [size =\"6092800\"]\n  6 -> 19 [size =\"6092800\"]\n  6 -> 22 [size =\"6092800\"]\n  7 [size=\"83747840\", alpha=\"0.01\", expect_size=\"33499136\"] \n  8 [size=\"36323840\", alpha=\"0.05\", expect_size=\"14529536\"] \n  8 -> 14 [size =\"14529536\"]\n  8 -> 16 [size =\"14529536\"]\n  8 -> 22 [size =\"14529536\"]\n  9 [size=\"76551680\", alpha=\"0.03\", expect_size=\"30620672\"] \n  9 -> 18 [size =\"30620672\"]\n  9 -> 19 [size =\"30620672\"]\n  9 -> 22 [size =\"30620672\"]\n  10 [size=\"125841920\", alpha=\"0.09\", expect_size=\"50336768\"] \n  10 -> 19 [size =\"50336768\"]\n  10 -> 20 [size =\"50336768\"]\n  10 -> 23 [size =\"50336768\"]\n  11 [size=\"121006080\", alpha=\"0.08\", expect_size=\"48402432\"] \n  11 -> 14 [size =\"48402432\"]\n  11 -> 16 [size =\"48402432\"]\n  11 -> 20 [size =\"48402432\"]\n  11 -> 21 [size =\"48402432\"]\n  11 -> 22 [size =\"48402432\"]\n  11 -> 23 [size =\"48402432\"]\n  12 [size=\"20098560\", alpha=\"0.15\", expect_size=\"8039424\"] \n  12 -> 14 [size =\"8039424\"]\n  12 -> 18 [size =\"8039424\"]\n  12 -> 19 [size =\"8039424\"]\n  12 -> 20 [size =\"8039424\"]\n  12 -> 23 [size =\"8039424\"]\n  13 [size=\"129963520\", alpha=\"0.18\", expect_size=\"51985408\"] \n  13 -> 15 [size =\"51985408\"]\n  13 -> 17 [size =\"51985408\"]\n  13 -> 18 [size =\"51985408\"]\n  13 -> 22 [size =\"51985408\"]\n  14 [size=\"59719680\", alpha=\"0.10\", expect_size=\"23887872\"] \n  14 -> 24 [size =\"23887872\"]\n  14 -> 25 [size =\"23887872\"]\n  14 -> 27 [size =\"23887872\"]\n  14 -> 28 [size =\"23887872\"]\n  14 -> 29 [size =\"23887872\"]\n  14 -> 30 [size =\"23887872\"]\n  14 -> 34 [size =\"23887872\"]\n  15 [size=\"93524480\", alpha=\"0.14\", expect_size=\"37409792\"] \n  15 -> 28 [size =\"37409792\"]\n  15 -> 29 [size =\"37409792\"]\n  15 -> 30 [size =\"37409792\"]\n  15 -> 32 [size =\"37409792\"]\n  15 -> 34 [size =\"37409792\"]\n  16 [size=\"35148800\", alpha=\"0.04\", expect_size=\"14059520\"] \n  16 -> 27 [size =\"14059520\"]\n  16 -> 28 [size =\"14059520\"]\n  16 -> 31 [size =\"14059520\"]\n  16 -> 32 [size =\"14059520\"]\n  16 -> 33 [size =\"14059520\"]\n  16 -> 34 [size =\"14059520\"]\n  17 [size=\"111124480\", alpha=\"0.12\", expect_size=\"44449792\"] \n  17 -> 24 [size =\"44449792\"]\n  17 -> 27 [size =\"44449792\"]\n  17 -> 28 [size =\"44449792\"]\n  17 -> 30 [size =\"44449792\"]\n  17 -> 31 [size =\"44449792\"]\n  17 -> 32 [size =\"44449792\"]\n  17 -> 34 [size =\"44449792\"]\n  18 [size=\"117642240\", alpha=\"0.17\", expect_size=\"47056896\"] \n  18 -> 25 [size =\"47056896\"]\n  18 -> 26 [size =\"47056896\"]\n  18 -> 29 [size =\"47056896\"]\n  18 -> 31 [size =\"47056896\"]\n  18 -> 32 [size =\"47056896\"]\n  18 -> 32 [size =\"47056896\"]\n  18 -> 33 [size =\"47056896\"]\n  18 -> 34 [size =\"47056896\"]\n  19 [size=\"28200960\", alpha=\"0.04\", expect_size=\"11280384\"] \n  19 -> 24 [size =\"11280384\"]\n  19 -> 27 [size =\"11280384\"]\n  19 -> 29 [size =\"11280384\"]\n  19 -> 30 [size =\"11280384\"]\n  19 -> 32 [size =\"11280384\"]\n  20 [size=\"46830080\", alpha=\"0.14\", expect_size=\"18732032\"] \n  20 -> 25 [size =\"18732032\"]\n  20 -> 26 [size =\"18732032\"]\n  20 -> 27 [size =\"18732032\"]\n  20 -> 28 [size =\"18732032\"]\n  20 -> 30 [size =\"18732032\"]\n  20 -> 32 [size =\"18732032\"]\n  21 [size=\"98265600\", alpha=\"0.06\", expect_size=\"39306240\"] \n  21 -> 24 [size =\"39306240\"]\n  21 -> 25 [size =\"39306240\"]\n  21 -> 26 [size =\"39306240\"]\n  21 -> 27 [size =\"39306240\"]\n  21 -> 28 [size =\"39306240\"]\n  22 [size=\"28121600\", alpha=\"0.08\", expect_size=\"11248640\"] \n  22 -> 24 [size =\"11248640\"]\n  22 -> 25 [size =\"11248640\"]\n  22 -> 26 [size =\"11248640\"]\n  22 -> 31 [size =\"11248640\"]\n  23 [size=\"116615680\", alpha=\"0.06\", expect_size=\"46646272\"] \n  23 -> 24 [size =\"46646272\"]\n  23 -> 27 [size =\"46646272\"]\n  23 -> 28 [size =\"46646272\"]\n  23 -> 30 [size =\"46646272\"]\n  23 -> 34 [size =\"46646272\"]\n  24 [size=\"102438400\", alpha=\"0.18\", expect_size=\"40975360\"] \n  24 -> 37 [size =\"40975360\"]\n  24 -> 38 [size =\"40975360\"]\n  24 -> 41 [size =\"40975360\"]\n  24 -> 44 [size =\"40975360\"]\n  24 -> 45 [size =\"40975360\"]\n  24 -> 46 [size =\"40975360\"]\n  24 -> 47 [size =\"40975360\"]\n  24 -> 48 [size =\"40975360\"]\n  25 [size=\"43555840\", alpha=\"0.05\", expect_size=\"17422336\"] \n  26 [size=\"127738880\", alpha=\"0.13\", expect_size=\"51095552\"] \n  26 -> 35 [size =\"51095552\"]\n  26 -> 36 [size =\"51095552\"]\n  26 -> 42 [size =\"51095552\"]\n  26 -> 45 [size =\"51095552\"]\n  26 -> 46 [size =\"51095552\"]\n  26 -> 48 [size =\"51095552\"]\n  27 [size=\"31528960\", alpha=\"0.12\", expect_size=\"12611584\"] \n  27 -> 35 [size =\"12611584\"]\n  27 -> 37 [size =\"12611584\"]\n  27 -> 38 [size =\"12611584\"]\n  27 -> 41 [size =\"12611584\"]\n  27 -> 45 [size =\"12611584\"]\n  27 -> 47 [size =\"12611584\"]\n  28 [size=\"99934720\", alpha=\"0.16\", expect_size=\"39973888\"] \n  28 -> 35 [size =\"39973888\"]\n  28 -> 40 [size =\"39973888\"]\n  28 -> 41 [size =\"39973888\"]\n  28 -> 43 [size =\"39973888\"]\n  28 -> 45 [size =\"39973888\"]\n  28 -> 47 [size =\"39973888\"]\n  28 -> 48 [size =\"39973888\"]\n  29 [size=\"84147200\", alpha=\"0.10\", expect_size=\"33658880\"] \n  29 -> 35 [size =\"33658880\"]\n  29 -> 37 [size =\"33658880\"]\n  29 -> 40 [size =\"33658880\"]\n  29 -> 41 [size =\"33658880\"]\n  29 -> 43 [size =\"33658880\"]\n  29 -> 45 [size =\"33658880\"]\n  29 -> 47 [size =\"33658880\"]\n  30 [size=\"106782720\", alpha=\"0.03\", expect_size=\"42713088\"] \n  30 -> 35 [size =\"42713088\"]\n  30 -> 37 [size =\"42713088\"]\n  30 -> 41 [size =\"42713088\"]\n  30 -> 46 [size =\"42713088\"]\n  30 -> 47 [size =\"42713088\"]\n  30 -> 48 [size =\"42713088\"]\n  31 [size=\"72934400\", alpha=\"0.15\", expect_size=\"29173760\"] \n  31 -> 38 [size =\"29173760\"]\n  31 -> 39 [size =\"29173760\"]\n  31 -> 42 [size =\"29173760\"]\n  31 -> 45 [size =\"29173760\"]\n  31 -> 46 [size =\"29173760\"]\n  31 -> 47 [size =\"29173760\"]\n  31 -> 48 [size =\"29173760\"]\n  31 -> 49 [size =\"29173760\"]\n  32 [size=\"105748480\", alpha=\"0.08\", expect_size=\"42299392\"] \n  32 -> 35 [size =\"42299392\"]\n  32 -> 36 [size =\"42299392\"]\n  32 -> 38 [size =\"42299392\"]\n  32 -> 39 [size =\"42299392\"]\n  32 -> 40 [size =\"42299392\"]\n  32 -> 42 [size =\"42299392\"]\n  32 -> 45 [size =\"42299392\"]\n  32 -> 46 [size =\"42299392\"]\n  32 -> 47 [size =\"42299392\"]\n  32 -> 48 [size =\"42299392\"]\n  32 -> 49 [size =\"42299392\"]\n  32 -> 50 [size =\"42299392\"]\n  33 [size=\"34521600\", alpha=\"0.01\", expect_size=\"13808640\"] \n  33 -> 35 [size =\"13808640\"]\n  33 -> 37 [size =\"13808640\"]\n  33 -> 38 [size =\"13808640\"]\n  33 -> 39 [size =\"13808640\"]\n  33 -> 43 [size =\"13808640\"]\n  33 -> 45 [size =\"13808640\"]\n  33 -> 46 [size =\"13808640\"]\n  33 -> 46 [size =\"13808640\"]\n  33 -> 48 [size =\"13808640\"]\n  34 [size=\"71992320\", alpha=\"0.01\", expect_size=\"28796928\"] \n  34 -> 35 [size =\"28796928\"]\n  34 -> 37 [size =\"28796928\"]\n  34 -> 38 [size =\"28796928\"]\n  34 -> 39 [size =\"28796928\"]\n  34 -> 41 [size =\"28796928\"]\n  34 -> 43 [size =\"28796928\"]\n  34 -> 46 [size =\"28796928\"]\n  34 -> 48 [size =\"28796928\"]\n  35 [size=\"58401280\", alpha=\"0.16\", expect_size=\"23360512\"] \n  36 [size=\"87631360\", alpha=\"0.13\", expect_size=\"35052544\"] \n  37 [size=\"43842560\", alpha=\"0.08\", expect_size=\"17537024\"] \n  38 [size=\"115645440\", alpha=\"0.00\", expect_size=\"46258176\"] \n  39 [size=\"90324480\", alpha=\"0.15\", expect_size=\"36129792\"] \n  40 [size=\"31329280\", alpha=\"0.16\", expect_size=\"12531712\"] \n  41 [size=\"51392000\", alpha=\"0.11\", expect_size=\"20556800\"] \n  42 [size=\"22484480\", alpha=\"0.08\", expect_size=\"8993792\"] \n  43 [size=\"69568000\", alpha=\"0.04\", expect_size=\"27827200\"] \n  44 [size=\"73566720\", alpha=\"0.14\", expect_size=\"29426688\"] \n  45 [size=\"81095680\", alpha=\"0.09\", expect_size=\"32438272\"] \n  46 [size=\"54609920\", alpha=\"0.04\", expect_size=\"21843968\"] \n  47 [size=\"16153600\", alpha=\"0.02\", expect_size=\"6461440\"] \n  48 [size=\"63746560\", alpha=\"0.15\", expect_size=\"25498624\"] \n  49 [size=\"65991680\", alpha=\"0.20\", expect_size=\"26396672\"] \n  50 [size=\"37990400\", alpha=\"0.00\", expect_size=\"15196160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.377.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169379840\", alpha=\"0.17\", expect_size=\"50813952\"] \n  1 -> 9 [size =\"50813952\"]\n  1 -> 11 [size =\"50813952\"]\n  2 [size=\"169325227\", alpha=\"0.15\", expect_size=\"50797568\"] \n  2 -> 9 [size =\"50797568\"]\n  2 -> 11 [size =\"50797568\"]\n  3 [size=\"114776747\", alpha=\"0.03\", expect_size=\"34433024\"] \n  3 -> 7 [size =\"34433024\"]\n  3 -> 9 [size =\"34433024\"]\n  3 -> 13 [size =\"34433024\"]\n  4 [size=\"136779093\", alpha=\"0.07\", expect_size=\"41033728\"] \n  4 -> 8 [size =\"41033728\"]\n  4 -> 9 [size =\"41033728\"]\n  4 -> 10 [size =\"41033728\"]\n  4 -> 12 [size =\"41033728\"]\n  5 [size=\"38864213\", alpha=\"0.00\", expect_size=\"11659264\"] \n  5 -> 10 [size =\"11659264\"]\n  5 -> 11 [size =\"11659264\"]\n  5 -> 13 [size =\"11659264\"]\n  6 [size=\"42963627\", alpha=\"0.14\", expect_size=\"12889088\"] \n  6 -> 11 [size =\"12889088\"]\n  7 [size=\"54391467\", alpha=\"0.15\", expect_size=\"16317440\"] \n  7 -> 17 [size =\"16317440\"]\n  7 -> 19 [size =\"16317440\"]\n  7 -> 20 [size =\"16317440\"]\n  8 [size=\"172806827\", alpha=\"0.18\", expect_size=\"51842048\"] \n  8 -> 14 [size =\"51842048\"]\n  8 -> 16 [size =\"51842048\"]\n  8 -> 18 [size =\"51842048\"]\n  9 [size=\"98536107\", alpha=\"0.10\", expect_size=\"29560832\"] \n  9 -> 17 [size =\"29560832\"]\n  9 -> 19 [size =\"29560832\"]\n  9 -> 20 [size =\"29560832\"]\n  10 [size=\"85831680\", alpha=\"0.07\", expect_size=\"25749504\"] \n  10 -> 15 [size =\"25749504\"]\n  10 -> 16 [size =\"25749504\"]\n  10 -> 18 [size =\"25749504\"]\n  10 -> 19 [size =\"25749504\"]\n  10 -> 20 [size =\"25749504\"]\n  11 [size=\"109653333\", alpha=\"0.20\", expect_size=\"32896000\"] \n  11 -> 17 [size =\"32896000\"]\n  11 -> 19 [size =\"32896000\"]\n  11 -> 20 [size =\"32896000\"]\n  12 [size=\"83261440\", alpha=\"0.14\", expect_size=\"24978432\"] \n  13 [size=\"45646507\", alpha=\"0.18\", expect_size=\"13693952\"] \n  13 -> 19 [size =\"13693952\"]\n  13 -> 20 [size =\"13693952\"]\n  14 [size=\"72799573\", alpha=\"0.16\", expect_size=\"21839872\"] \n  14 -> 23 [size =\"21839872\"]\n  14 -> 24 [size =\"21839872\"]\n  14 -> 25 [size =\"21839872\"]\n  14 -> 26 [size =\"21839872\"]\n  15 [size=\"129058133\", alpha=\"0.12\", expect_size=\"38717440\"] \n  15 -> 22 [size =\"38717440\"]\n  15 -> 23 [size =\"38717440\"]\n  15 -> 24 [size =\"38717440\"]\n  15 -> 25 [size =\"38717440\"]\n  15 -> 26 [size =\"38717440\"]\n  16 [size=\"132713813\", alpha=\"0.12\", expect_size=\"39814144\"] \n  16 -> 22 [size =\"39814144\"]\n  16 -> 24 [size =\"39814144\"]\n  16 -> 24 [size =\"39814144\"]\n  17 [size=\"81995093\", alpha=\"0.06\", expect_size=\"24598528\"] \n  17 -> 22 [size =\"24598528\"]\n  18 [size=\"42513067\", alpha=\"0.14\", expect_size=\"12753920\"] \n  18 -> 22 [size =\"12753920\"]\n  18 -> 23 [size =\"12753920\"]\n  18 -> 25 [size =\"12753920\"]\n  18 -> 27 [size =\"12753920\"]\n  19 [size=\"24937813\", alpha=\"0.00\", expect_size=\"7481344\"] \n  19 -> 21 [size =\"7481344\"]\n  19 -> 22 [size =\"7481344\"]\n  19 -> 23 [size =\"7481344\"]\n  19 -> 25 [size =\"7481344\"]\n  19 -> 26 [size =\"7481344\"]\n  19 -> 27 [size =\"7481344\"]\n  20 [size=\"102502400\", alpha=\"0.05\", expect_size=\"30750720\"] \n  20 -> 23 [size =\"30750720\"]\n  20 -> 25 [size =\"30750720\"]\n  20 -> 26 [size =\"30750720\"]\n  21 [size=\"160163840\", alpha=\"0.09\", expect_size=\"48049152\"] \n  21 -> 31 [size =\"48049152\"]\n  21 -> 32 [size =\"48049152\"]\n  21 -> 33 [size =\"48049152\"]\n  22 [size=\"156313600\", alpha=\"0.12\", expect_size=\"46894080\"] \n  22 -> 28 [size =\"46894080\"]\n  22 -> 30 [size =\"46894080\"]\n  22 -> 32 [size =\"46894080\"]\n  22 -> 33 [size =\"46894080\"]\n  23 [size=\"107973973\", alpha=\"0.08\", expect_size=\"32392192\"] \n  23 -> 28 [size =\"32392192\"]\n  23 -> 30 [size =\"32392192\"]\n  23 -> 34 [size =\"32392192\"]\n  24 [size=\"93917867\", alpha=\"0.19\", expect_size=\"28175360\"] \n  24 -> 28 [size =\"28175360\"]\n  24 -> 32 [size =\"28175360\"]\n  24 -> 33 [size =\"28175360\"]\n  25 [size=\"65140053\", alpha=\"0.12\", expect_size=\"19542016\"] \n  25 -> 29 [size =\"19542016\"]\n  25 -> 30 [size =\"19542016\"]\n  25 -> 34 [size =\"19542016\"]\n  26 [size=\"157569707\", alpha=\"0.09\", expect_size=\"47270912\"] \n  26 -> 30 [size =\"47270912\"]\n  26 -> 31 [size =\"47270912\"]\n  26 -> 32 [size =\"47270912\"]\n  26 -> 33 [size =\"47270912\"]\n  27 [size=\"98450773\", alpha=\"0.10\", expect_size=\"29535232\"] \n  27 -> 30 [size =\"29535232\"]\n  27 -> 32 [size =\"29535232\"]\n  27 -> 33 [size =\"29535232\"]\n  27 -> 34 [size =\"29535232\"]\n  28 [size=\"143080107\", alpha=\"0.12\", expect_size=\"42924032\"] \n  28 -> 37 [size =\"42924032\"]\n  28 -> 39 [size =\"42924032\"]\n  29 [size=\"96877227\", alpha=\"0.03\", expect_size=\"29063168\"] \n  29 -> 36 [size =\"29063168\"]\n  30 [size=\"99870720\", alpha=\"0.03\", expect_size=\"29961216\"] \n  30 -> 36 [size =\"29961216\"]\n  30 -> 37 [size =\"29961216\"]\n  30 -> 38 [size =\"29961216\"]\n  30 -> 40 [size =\"29961216\"]\n  31 [size=\"139369813\", alpha=\"0.15\", expect_size=\"41810944\"] \n  31 -> 35 [size =\"41810944\"]\n  31 -> 38 [size =\"41810944\"]\n  31 -> 38 [size =\"41810944\"]\n  31 -> 39 [size =\"41810944\"]\n  31 -> 40 [size =\"41810944\"]\n  31 -> 41 [size =\"41810944\"]\n  32 [size=\"52705280\", alpha=\"0.16\", expect_size=\"15811584\"] \n  32 -> 39 [size =\"15811584\"]\n  33 [size=\"149015893\", alpha=\"0.20\", expect_size=\"44704768\"] \n  33 -> 39 [size =\"44704768\"]\n  33 -> 40 [size =\"44704768\"]\n  34 [size=\"53739520\", alpha=\"0.10\", expect_size=\"16121856\"] \n  34 -> 36 [size =\"16121856\"]\n  34 -> 38 [size =\"16121856\"]\n  35 [size=\"43465387\", alpha=\"0.16\", expect_size=\"13039616\"] \n  35 -> 42 [size =\"13039616\"]\n  35 -> 43 [size =\"13039616\"]\n  35 -> 46 [size =\"13039616\"]\n  35 -> 47 [size =\"13039616\"]\n  36 [size=\"139588267\", alpha=\"0.15\", expect_size=\"41876480\"] \n  36 -> 44 [size =\"41876480\"]\n  36 -> 47 [size =\"41876480\"]\n  36 -> 48 [size =\"41876480\"]\n  37 [size=\"53019307\", alpha=\"0.03\", expect_size=\"15905792\"] \n  37 -> 44 [size =\"15905792\"]\n  37 -> 46 [size =\"15905792\"]\n  38 [size=\"135253333\", alpha=\"0.14\", expect_size=\"40576000\"] \n  38 -> 46 [size =\"40576000\"]\n  39 [size=\"69754880\", alpha=\"0.07\", expect_size=\"20926464\"] \n  39 -> 42 [size =\"20926464\"]\n  39 -> 44 [size =\"20926464\"]\n  39 -> 47 [size =\"20926464\"]\n  39 -> 48 [size =\"20926464\"]\n  40 [size=\"94877013\", alpha=\"0.09\", expect_size=\"28463104\"] \n  40 -> 42 [size =\"28463104\"]\n  40 -> 44 [size =\"28463104\"]\n  40 -> 48 [size =\"28463104\"]\n  40 -> 48 [size =\"28463104\"]\n  41 [size=\"121688747\", alpha=\"0.10\", expect_size=\"36506624\"] \n  41 -> 42 [size =\"36506624\"]\n  41 -> 45 [size =\"36506624\"]\n  41 -> 46 [size =\"36506624\"]\n  41 -> 47 [size =\"36506624\"]\n  42 [size=\"85080747\", alpha=\"0.09\", expect_size=\"25524224\"] \n  43 [size=\"50841600\", alpha=\"0.19\", expect_size=\"15252480\"] \n  43 -> 49 [size =\"15252480\"]\n  43 -> 50 [size =\"15252480\"]\n  44 [size=\"47138133\", alpha=\"0.19\", expect_size=\"14141440\"] \n  44 -> 49 [size =\"14141440\"]\n  45 [size=\"129303893\", alpha=\"0.05\", expect_size=\"38791168\"] \n  46 [size=\"94341120\", alpha=\"0.09\", expect_size=\"28302336\"] \n  47 [size=\"57490773\", alpha=\"0.03\", expect_size=\"17247232\"] \n  48 [size=\"83275093\", alpha=\"0.13\", expect_size=\"24982528\"] \n  48 -> 49 [size =\"24982528\"]\n  49 [size=\"39444480\", alpha=\"0.14\", expect_size=\"11833344\"] \n  50 [size=\"90750293\", alpha=\"0.04\", expect_size=\"27225088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.378.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59491840\", alpha=\"0.04\", expect_size=\"23796736\"] \n  1 -> 2 [size =\"23796736\"]\n  2 [size=\"50201600\", alpha=\"0.03\", expect_size=\"20080640\"] \n  2 -> 3 [size =\"20080640\"]\n  3 [size=\"124152320\", alpha=\"0.04\", expect_size=\"49660928\"] \n  3 -> 4 [size =\"49660928\"]\n  4 [size=\"115041280\", alpha=\"0.17\", expect_size=\"46016512\"] \n  4 -> 5 [size =\"46016512\"]\n  5 [size=\"88650240\", alpha=\"0.10\", expect_size=\"35460096\"] \n  5 -> 6 [size =\"35460096\"]\n  6 [size=\"31833600\", alpha=\"0.09\", expect_size=\"12733440\"] \n  6 -> 7 [size =\"12733440\"]\n  7 [size=\"44833280\", alpha=\"0.11\", expect_size=\"17933312\"] \n  7 -> 8 [size =\"17933312\"]\n  8 [size=\"31155200\", alpha=\"0.18\", expect_size=\"12462080\"] \n  8 -> 9 [size =\"12462080\"]\n  9 [size=\"78172160\", alpha=\"0.17\", expect_size=\"31268864\"] \n  9 -> 10 [size =\"31268864\"]\n  10 [size=\"22671360\", alpha=\"0.01\", expect_size=\"9068544\"] \n  10 -> 11 [size =\"9068544\"]\n  11 [size=\"118809600\", alpha=\"0.01\", expect_size=\"47523840\"] \n  11 -> 12 [size =\"47523840\"]\n  12 [size=\"22704640\", alpha=\"0.19\", expect_size=\"9081856\"] \n  12 -> 13 [size =\"9081856\"]\n  13 [size=\"42839040\", alpha=\"0.00\", expect_size=\"17135616\"] \n  13 -> 14 [size =\"17135616\"]\n  14 [size=\"67507200\", alpha=\"0.13\", expect_size=\"27002880\"] \n  14 -> 15 [size =\"27002880\"]\n  15 [size=\"49725440\", alpha=\"0.05\", expect_size=\"19890176\"] \n  15 -> 16 [size =\"19890176\"]\n  16 [size=\"106624000\", alpha=\"0.12\", expect_size=\"42649600\"] \n  16 -> 17 [size =\"42649600\"]\n  17 [size=\"44482560\", alpha=\"0.08\", expect_size=\"17793024\"] \n  17 -> 18 [size =\"17793024\"]\n  18 [size=\"107865600\", alpha=\"0.01\", expect_size=\"43146240\"] \n  18 -> 19 [size =\"43146240\"]\n  19 [size=\"94461440\", alpha=\"0.08\", expect_size=\"37784576\"] \n  19 -> 20 [size =\"37784576\"]\n  20 [size=\"74690560\", alpha=\"0.19\", expect_size=\"29876224\"] \n  20 -> 21 [size =\"29876224\"]\n  21 [size=\"81735680\", alpha=\"0.18\", expect_size=\"32694272\"] \n  21 -> 22 [size =\"32694272\"]\n  22 [size=\"88942080\", alpha=\"0.04\", expect_size=\"35576832\"] \n  22 -> 23 [size =\"35576832\"]\n  23 [size=\"84088320\", alpha=\"0.08\", expect_size=\"33635328\"] \n  23 -> 24 [size =\"33635328\"]\n  24 [size=\"84280320\", alpha=\"0.09\", expect_size=\"33712128\"] \n  24 -> 25 [size =\"33712128\"]\n  25 [size=\"42844160\", alpha=\"0.03\", expect_size=\"17137664\"] \n  25 -> 26 [size =\"17137664\"]\n  26 [size=\"72591360\", alpha=\"0.01\", expect_size=\"29036544\"] \n  26 -> 27 [size =\"29036544\"]\n  27 [size=\"25021440\", alpha=\"0.04\", expect_size=\"10008576\"] \n  27 -> 28 [size =\"10008576\"]\n  28 [size=\"74690560\", alpha=\"0.09\", expect_size=\"29876224\"] \n  28 -> 29 [size =\"29876224\"]\n  29 [size=\"83271680\", alpha=\"0.06\", expect_size=\"33308672\"] \n  29 -> 30 [size =\"33308672\"]\n  30 [size=\"13895680\", alpha=\"0.05\", expect_size=\"5558272\"] \n  30 -> 31 [size =\"5558272\"]\n  31 [size=\"128227840\", alpha=\"0.01\", expect_size=\"51291136\"] \n  31 -> 32 [size =\"51291136\"]\n  32 [size=\"118758400\", alpha=\"0.19\", expect_size=\"47503360\"] \n  32 -> 33 [size =\"47503360\"]\n  33 [size=\"22584320\", alpha=\"0.02\", expect_size=\"9033728\"] \n  33 -> 34 [size =\"9033728\"]\n  34 [size=\"68718080\", alpha=\"0.15\", expect_size=\"27487232\"] \n  34 -> 35 [size =\"27487232\"]\n  35 [size=\"123164160\", alpha=\"0.13\", expect_size=\"49265664\"] \n  35 -> 36 [size =\"49265664\"]\n  36 [size=\"25538560\", alpha=\"0.07\", expect_size=\"10215424\"] \n  36 -> 37 [size =\"10215424\"]\n  37 [size=\"30497280\", alpha=\"0.07\", expect_size=\"12198912\"] \n  37 -> 38 [size =\"12198912\"]\n  38 [size=\"51804160\", alpha=\"0.03\", expect_size=\"20721664\"] \n  38 -> 39 [size =\"20721664\"]\n  39 [size=\"107507200\", alpha=\"0.12\", expect_size=\"43002880\"] \n  39 -> 40 [size =\"43002880\"]\n  40 [size=\"26741760\", alpha=\"0.12\", expect_size=\"10696704\"] \n  40 -> 41 [size =\"10696704\"]\n  41 [size=\"55004160\", alpha=\"0.04\", expect_size=\"22001664\"] \n  41 -> 42 [size =\"22001664\"]\n  42 [size=\"62067200\", alpha=\"0.09\", expect_size=\"24826880\"] \n  42 -> 43 [size =\"24826880\"]\n  43 [size=\"57530880\", alpha=\"0.05\", expect_size=\"23012352\"] \n  43 -> 44 [size =\"23012352\"]\n  44 [size=\"71129600\", alpha=\"0.14\", expect_size=\"28451840\"] \n  44 -> 45 [size =\"28451840\"]\n  45 [size=\"39298560\", alpha=\"0.07\", expect_size=\"15719424\"] \n  45 -> 46 [size =\"15719424\"]\n  46 [size=\"116623360\", alpha=\"0.11\", expect_size=\"46649344\"] \n  46 -> 47 [size =\"46649344\"]\n  47 [size=\"42726400\", alpha=\"0.17\", expect_size=\"17090560\"] \n  47 -> 48 [size =\"17090560\"]\n  48 [size=\"84912640\", alpha=\"0.13\", expect_size=\"33965056\"] \n  48 -> 49 [size =\"33965056\"]\n  49 [size=\"102013440\", alpha=\"0.01\", expect_size=\"40805376\"] \n  49 -> 50 [size =\"40805376\"]\n  50 [size=\"57420800\", alpha=\"0.09\", expect_size=\"22968320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.379.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83425280\", alpha=\"0.03\", expect_size=\"33370112\"] \n  1 -> 31 [size =\"33370112\"]\n  1 -> 32 [size =\"33370112\"]\n  1 -> 38 [size =\"33370112\"]\n  1 -> 39 [size =\"33370112\"]\n  1 -> 47 [size =\"33370112\"]\n  1 -> 48 [size =\"33370112\"]\n  1 -> 50 [size =\"33370112\"]\n  2 [size=\"48135680\", alpha=\"0.07\", expect_size=\"19254272\"] \n  2 -> 45 [size =\"19254272\"]\n  2 -> 47 [size =\"19254272\"]\n  3 [size=\"34472960\", alpha=\"0.17\", expect_size=\"13789184\"] \n  3 -> 32 [size =\"13789184\"]\n  3 -> 33 [size =\"13789184\"]\n  3 -> 39 [size =\"13789184\"]\n  3 -> 45 [size =\"13789184\"]\n  3 -> 49 [size =\"13789184\"]\n  4 [size=\"25525760\", alpha=\"0.09\", expect_size=\"10210304\"] \n  4 -> 33 [size =\"10210304\"]\n  4 -> 39 [size =\"10210304\"]\n  4 -> 39 [size =\"10210304\"]\n  4 -> 42 [size =\"10210304\"]\n  4 -> 46 [size =\"10210304\"]\n  4 -> 48 [size =\"10210304\"]\n  4 -> 50 [size =\"10210304\"]\n  5 [size=\"81057280\", alpha=\"0.08\", expect_size=\"32422912\"] \n  5 -> 33 [size =\"32422912\"]\n  5 -> 38 [size =\"32422912\"]\n  5 -> 42 [size =\"32422912\"]\n  5 -> 47 [size =\"32422912\"]\n  5 -> 50 [size =\"32422912\"]\n  6 [size=\"49098240\", alpha=\"0.20\", expect_size=\"19639296\"] \n  6 -> 37 [size =\"19639296\"]\n  6 -> 38 [size =\"19639296\"]\n  6 -> 39 [size =\"19639296\"]\n  6 -> 40 [size =\"19639296\"]\n  6 -> 41 [size =\"19639296\"]\n  6 -> 50 [size =\"19639296\"]\n  7 [size=\"61862400\", alpha=\"0.17\", expect_size=\"24744960\"] \n  7 -> 33 [size =\"24744960\"]\n  7 -> 35 [size =\"24744960\"]\n  7 -> 39 [size =\"24744960\"]\n  7 -> 46 [size =\"24744960\"]\n  7 -> 47 [size =\"24744960\"]\n  7 -> 49 [size =\"24744960\"]\n  7 -> 50 [size =\"24744960\"]\n  8 [size=\"28743680\", alpha=\"0.02\", expect_size=\"11497472\"] \n  8 -> 33 [size =\"11497472\"]\n  8 -> 35 [size =\"11497472\"]\n  8 -> 37 [size =\"11497472\"]\n  8 -> 45 [size =\"11497472\"]\n  8 -> 46 [size =\"11497472\"]\n  8 -> 49 [size =\"11497472\"]\n  8 -> 50 [size =\"11497472\"]\n  9 [size=\"78891520\", alpha=\"0.02\", expect_size=\"31556608\"] \n  9 -> 34 [size =\"31556608\"]\n  9 -> 36 [size =\"31556608\"]\n  9 -> 37 [size =\"31556608\"]\n  9 -> 42 [size =\"31556608\"]\n  9 -> 46 [size =\"31556608\"]\n  9 -> 47 [size =\"31556608\"]\n  9 -> 49 [size =\"31556608\"]\n  9 -> 50 [size =\"31556608\"]\n  10 [size=\"98562560\", alpha=\"0.04\", expect_size=\"39425024\"] \n  10 -> 31 [size =\"39425024\"]\n  10 -> 34 [size =\"39425024\"]\n  10 -> 36 [size =\"39425024\"]\n  10 -> 38 [size =\"39425024\"]\n  10 -> 41 [size =\"39425024\"]\n  10 -> 42 [size =\"39425024\"]\n  10 -> 46 [size =\"39425024\"]\n  10 -> 49 [size =\"39425024\"]\n  10 -> 50 [size =\"39425024\"]\n  11 [size=\"119488000\", alpha=\"0.01\", expect_size=\"47795200\"] \n  11 -> 39 [size =\"47795200\"]\n  11 -> 48 [size =\"47795200\"]\n  11 -> 50 [size =\"47795200\"]\n  12 [size=\"19476480\", alpha=\"0.17\", expect_size=\"7790592\"] \n  12 -> 32 [size =\"7790592\"]\n  12 -> 39 [size =\"7790592\"]\n  12 -> 40 [size =\"7790592\"]\n  12 -> 50 [size =\"7790592\"]\n  13 [size=\"58168320\", alpha=\"0.16\", expect_size=\"23267328\"] \n  13 -> 31 [size =\"23267328\"]\n  13 -> 32 [size =\"23267328\"]\n  13 -> 38 [size =\"23267328\"]\n  13 -> 39 [size =\"23267328\"]\n  13 -> 40 [size =\"23267328\"]\n  13 -> 43 [size =\"23267328\"]\n  13 -> 47 [size =\"23267328\"]\n  13 -> 48 [size =\"23267328\"]\n  14 [size=\"42360320\", alpha=\"0.13\", expect_size=\"16944128\"] \n  14 -> 33 [size =\"16944128\"]\n  14 -> 35 [size =\"16944128\"]\n  14 -> 43 [size =\"16944128\"]\n  14 -> 45 [size =\"16944128\"]\n  14 -> 47 [size =\"16944128\"]\n  14 -> 48 [size =\"16944128\"]\n  15 [size=\"97003520\", alpha=\"0.14\", expect_size=\"38801408\"] \n  15 -> 31 [size =\"38801408\"]\n  15 -> 38 [size =\"38801408\"]\n  15 -> 39 [size =\"38801408\"]\n  15 -> 45 [size =\"38801408\"]\n  15 -> 48 [size =\"38801408\"]\n  16 [size=\"25469440\", alpha=\"0.07\", expect_size=\"10187776\"] \n  16 -> 31 [size =\"10187776\"]\n  16 -> 32 [size =\"10187776\"]\n  16 -> 33 [size =\"10187776\"]\n  16 -> 34 [size =\"10187776\"]\n  16 -> 39 [size =\"10187776\"]\n  16 -> 43 [size =\"10187776\"]\n  16 -> 45 [size =\"10187776\"]\n  16 -> 47 [size =\"10187776\"]\n  16 -> 50 [size =\"10187776\"]\n  17 [size=\"25308160\", alpha=\"0.07\", expect_size=\"10123264\"] \n  17 -> 31 [size =\"10123264\"]\n  17 -> 32 [size =\"10123264\"]\n  17 -> 33 [size =\"10123264\"]\n  17 -> 35 [size =\"10123264\"]\n  17 -> 39 [size =\"10123264\"]\n  17 -> 40 [size =\"10123264\"]\n  17 -> 45 [size =\"10123264\"]\n  17 -> 47 [size =\"10123264\"]\n  18 [size=\"122856960\", alpha=\"0.15\", expect_size=\"49142784\"] \n  18 -> 33 [size =\"49142784\"]\n  18 -> 38 [size =\"49142784\"]\n  18 -> 39 [size =\"49142784\"]\n  18 -> 42 [size =\"49142784\"]\n  18 -> 43 [size =\"49142784\"]\n  18 -> 44 [size =\"49142784\"]\n  18 -> 47 [size =\"49142784\"]\n  18 -> 48 [size =\"49142784\"]\n  19 [size=\"15009280\", alpha=\"0.04\", expect_size=\"6003712\"] \n  19 -> 33 [size =\"6003712\"]\n  19 -> 34 [size =\"6003712\"]\n  19 -> 35 [size =\"6003712\"]\n  19 -> 42 [size =\"6003712\"]\n  19 -> 43 [size =\"6003712\"]\n  19 -> 47 [size =\"6003712\"]\n  19 -> 50 [size =\"6003712\"]\n  20 [size=\"27770880\", alpha=\"0.01\", expect_size=\"11108352\"] \n  20 -> 32 [size =\"11108352\"]\n  20 -> 34 [size =\"11108352\"]\n  20 -> 36 [size =\"11108352\"]\n  20 -> 37 [size =\"11108352\"]\n  21 [size=\"48826880\", alpha=\"0.10\", expect_size=\"19530752\"] \n  21 -> 31 [size =\"19530752\"]\n  21 -> 34 [size =\"19530752\"]\n  21 -> 37 [size =\"19530752\"]\n  21 -> 39 [size =\"19530752\"]\n  21 -> 47 [size =\"19530752\"]\n  21 -> 50 [size =\"19530752\"]\n  22 [size=\"55979520\", alpha=\"0.06\", expect_size=\"22391808\"] \n  22 -> 32 [size =\"22391808\"]\n  22 -> 34 [size =\"22391808\"]\n  22 -> 41 [size =\"22391808\"]\n  22 -> 46 [size =\"22391808\"]\n  22 -> 49 [size =\"22391808\"]\n  22 -> 50 [size =\"22391808\"]\n  23 [size=\"41139200\", alpha=\"0.04\", expect_size=\"16455680\"] \n  23 -> 31 [size =\"16455680\"]\n  23 -> 32 [size =\"16455680\"]\n  23 -> 45 [size =\"16455680\"]\n  23 -> 47 [size =\"16455680\"]\n  23 -> 48 [size =\"16455680\"]\n  23 -> 49 [size =\"16455680\"]\n  23 -> 50 [size =\"16455680\"]\n  24 [size=\"19530240\", alpha=\"0.05\", expect_size=\"7812096\"] \n  24 -> 32 [size =\"7812096\"]\n  24 -> 34 [size =\"7812096\"]\n  24 -> 35 [size =\"7812096\"]\n  24 -> 40 [size =\"7812096\"]\n  24 -> 43 [size =\"7812096\"]\n  24 -> 45 [size =\"7812096\"]\n  24 -> 47 [size =\"7812096\"]\n  24 -> 49 [size =\"7812096\"]\n  24 -> 50 [size =\"7812096\"]\n  25 [size=\"94197760\", alpha=\"0.18\", expect_size=\"37679104\"] \n  25 -> 34 [size =\"37679104\"]\n  25 -> 35 [size =\"37679104\"]\n  25 -> 42 [size =\"37679104\"]\n  26 [size=\"56652800\", alpha=\"0.16\", expect_size=\"22661120\"] \n  26 -> 32 [size =\"22661120\"]\n  26 -> 33 [size =\"22661120\"]\n  26 -> 34 [size =\"22661120\"]\n  26 -> 49 [size =\"22661120\"]\n  26 -> 50 [size =\"22661120\"]\n  27 [size=\"98122240\", alpha=\"0.03\", expect_size=\"39248896\"] \n  27 -> 32 [size =\"39248896\"]\n  27 -> 33 [size =\"39248896\"]\n  27 -> 34 [size =\"39248896\"]\n  27 -> 40 [size =\"39248896\"]\n  27 -> 43 [size =\"39248896\"]\n  27 -> 49 [size =\"39248896\"]\n  28 [size=\"18795520\", alpha=\"0.12\", expect_size=\"7518208\"] \n  28 -> 34 [size =\"7518208\"]\n  28 -> 38 [size =\"7518208\"]\n  28 -> 40 [size =\"7518208\"]\n  28 -> 49 [size =\"7518208\"]\n  29 [size=\"109416960\", alpha=\"0.13\", expect_size=\"43766784\"] \n  29 -> 32 [size =\"43766784\"]\n  29 -> 34 [size =\"43766784\"]\n  29 -> 42 [size =\"43766784\"]\n  29 -> 43 [size =\"43766784\"]\n  29 -> 45 [size =\"43766784\"]\n  29 -> 48 [size =\"43766784\"]\n  30 [size=\"14154240\", alpha=\"0.08\", expect_size=\"5661696\"] \n  30 -> 38 [size =\"5661696\"]\n  30 -> 40 [size =\"5661696\"]\n  30 -> 42 [size =\"5661696\"]\n  30 -> 47 [size =\"5661696\"]\n  30 -> 50 [size =\"5661696\"]\n  31 [size=\"20974080\", alpha=\"0.01\", expect_size=\"8389632\"] \n  32 [size=\"82224640\", alpha=\"0.15\", expect_size=\"32889856\"] \n  33 [size=\"114979840\", alpha=\"0.17\", expect_size=\"45991936\"] \n  34 [size=\"22632960\", alpha=\"0.04\", expect_size=\"9053184\"] \n  35 [size=\"53539840\", alpha=\"0.05\", expect_size=\"21415936\"] \n  36 [size=\"39720960\", alpha=\"0.08\", expect_size=\"15888384\"] \n  37 [size=\"17164800\", alpha=\"0.13\", expect_size=\"6865920\"] \n  38 [size=\"34629120\", alpha=\"0.17\", expect_size=\"13851648\"] \n  39 [size=\"107755520\", alpha=\"0.01\", expect_size=\"43102208\"] \n  40 [size=\"66393600\", alpha=\"0.08\", expect_size=\"26557440\"] \n  41 [size=\"113973760\", alpha=\"0.00\", expect_size=\"45589504\"] \n  42 [size=\"120939520\", alpha=\"0.00\", expect_size=\"48375808\"] \n  43 [size=\"93670400\", alpha=\"0.05\", expect_size=\"37468160\"] \n  44 [size=\"77224960\", alpha=\"0.11\", expect_size=\"30889984\"] \n  45 [size=\"100856320\", alpha=\"0.10\", expect_size=\"40342528\"] \n  46 [size=\"130501120\", alpha=\"0.17\", expect_size=\"52200448\"] \n  47 [size=\"60551680\", alpha=\"0.19\", expect_size=\"24220672\"] \n  48 [size=\"21178880\", alpha=\"0.01\", expect_size=\"8471552\"] \n  49 [size=\"122132480\", alpha=\"0.19\", expect_size=\"48852992\"] \n  50 [size=\"129384960\", alpha=\"0.18\", expect_size=\"51753984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95505920\", alpha=\"0.07\", expect_size=\"38202368\"] \n  1 -> 9 [size =\"38202368\"]\n  1 -> 10 [size =\"38202368\"]\n  1 -> 11 [size =\"38202368\"]\n  1 -> 12 [size =\"38202368\"]\n  1 -> 13 [size =\"38202368\"]\n  2 [size=\"78622720\", alpha=\"0.06\", expect_size=\"31449088\"] \n  2 -> 9 [size =\"31449088\"]\n  2 -> 10 [size =\"31449088\"]\n  2 -> 11 [size =\"31449088\"]\n  2 -> 12 [size =\"31449088\"]\n  3 [size=\"113781760\", alpha=\"0.05\", expect_size=\"45512704\"] \n  3 -> 8 [size =\"45512704\"]\n  3 -> 9 [size =\"45512704\"]\n  3 -> 10 [size =\"45512704\"]\n  3 -> 11 [size =\"45512704\"]\n  3 -> 12 [size =\"45512704\"]\n  4 [size=\"38307840\", alpha=\"0.19\", expect_size=\"15323136\"] \n  4 -> 10 [size =\"15323136\"]\n  4 -> 11 [size =\"15323136\"]\n  4 -> 12 [size =\"15323136\"]\n  4 -> 13 [size =\"15323136\"]\n  5 [size=\"17914880\", alpha=\"0.01\", expect_size=\"7165952\"] \n  5 -> 9 [size =\"7165952\"]\n  5 -> 10 [size =\"7165952\"]\n  5 -> 11 [size =\"7165952\"]\n  5 -> 13 [size =\"7165952\"]\n  6 [size=\"61603840\", alpha=\"0.06\", expect_size=\"24641536\"] \n  6 -> 9 [size =\"24641536\"]\n  6 -> 10 [size =\"24641536\"]\n  6 -> 11 [size =\"24641536\"]\n  6 -> 12 [size =\"24641536\"]\n  6 -> 13 [size =\"24641536\"]\n  7 [size=\"13877760\", alpha=\"0.16\", expect_size=\"5551104\"] \n  7 -> 9 [size =\"5551104\"]\n  7 -> 10 [size =\"5551104\"]\n  7 -> 11 [size =\"5551104\"]\n  8 [size=\"126988800\", alpha=\"0.09\", expect_size=\"50795520\"] \n  8 -> 14 [size =\"50795520\"]\n  8 -> 16 [size =\"50795520\"]\n  8 -> 17 [size =\"50795520\"]\n  8 -> 18 [size =\"50795520\"]\n  8 -> 19 [size =\"50795520\"]\n  8 -> 20 [size =\"50795520\"]\n  9 [size=\"17303040\", alpha=\"0.05\", expect_size=\"6921216\"] \n  9 -> 14 [size =\"6921216\"]\n  9 -> 17 [size =\"6921216\"]\n  9 -> 18 [size =\"6921216\"]\n  10 [size=\"30126080\", alpha=\"0.17\", expect_size=\"12050432\"] \n  10 -> 14 [size =\"12050432\"]\n  10 -> 18 [size =\"12050432\"]\n  11 [size=\"96069120\", alpha=\"0.09\", expect_size=\"38427648\"] \n  11 -> 14 [size =\"38427648\"]\n  11 -> 15 [size =\"38427648\"]\n  11 -> 18 [size =\"38427648\"]\n  11 -> 19 [size =\"38427648\"]\n  12 [size=\"18787840\", alpha=\"0.05\", expect_size=\"7515136\"] \n  12 -> 14 [size =\"7515136\"]\n  12 -> 16 [size =\"7515136\"]\n  12 -> 17 [size =\"7515136\"]\n  12 -> 19 [size =\"7515136\"]\n  12 -> 20 [size =\"7515136\"]\n  13 [size=\"52997120\", alpha=\"0.12\", expect_size=\"21198848\"] \n  13 -> 14 [size =\"21198848\"]\n  13 -> 16 [size =\"21198848\"]\n  13 -> 17 [size =\"21198848\"]\n  13 -> 18 [size =\"21198848\"]\n  14 [size=\"83328000\", alpha=\"0.13\", expect_size=\"33331200\"] \n  14 -> 21 [size =\"33331200\"]\n  14 -> 24 [size =\"33331200\"]\n  14 -> 27 [size =\"33331200\"]\n  15 [size=\"79559680\", alpha=\"0.18\", expect_size=\"31823872\"] \n  15 -> 22 [size =\"31823872\"]\n  16 [size=\"85365760\", alpha=\"0.02\", expect_size=\"34146304\"] \n  16 -> 22 [size =\"34146304\"]\n  16 -> 23 [size =\"34146304\"]\n  16 -> 24 [size =\"34146304\"]\n  17 [size=\"119367680\", alpha=\"0.04\", expect_size=\"47747072\"] \n  17 -> 21 [size =\"47747072\"]\n  17 -> 24 [size =\"47747072\"]\n  17 -> 25 [size =\"47747072\"]\n  17 -> 26 [size =\"47747072\"]\n  17 -> 27 [size =\"47747072\"]\n  18 [size=\"94092800\", alpha=\"0.10\", expect_size=\"37637120\"] \n  18 -> 21 [size =\"37637120\"]\n  18 -> 22 [size =\"37637120\"]\n  18 -> 23 [size =\"37637120\"]\n  18 -> 24 [size =\"37637120\"]\n  18 -> 25 [size =\"37637120\"]\n  19 [size=\"27461120\", alpha=\"0.07\", expect_size=\"10984448\"] \n  19 -> 21 [size =\"10984448\"]\n  19 -> 22 [size =\"10984448\"]\n  19 -> 24 [size =\"10984448\"]\n  19 -> 26 [size =\"10984448\"]\n  19 -> 27 [size =\"10984448\"]\n  20 [size=\"58864640\", alpha=\"0.17\", expect_size=\"23545856\"] \n  20 -> 21 [size =\"23545856\"]\n  20 -> 22 [size =\"23545856\"]\n  20 -> 24 [size =\"23545856\"]\n  20 -> 25 [size =\"23545856\"]\n  20 -> 26 [size =\"23545856\"]\n  20 -> 27 [size =\"23545856\"]\n  21 [size=\"40048640\", alpha=\"0.02\", expect_size=\"16019456\"] \n  21 -> 29 [size =\"16019456\"]\n  21 -> 30 [size =\"16019456\"]\n  21 -> 31 [size =\"16019456\"]\n  21 -> 33 [size =\"16019456\"]\n  22 [size=\"92835840\", alpha=\"0.17\", expect_size=\"37134336\"] \n  22 -> 29 [size =\"37134336\"]\n  22 -> 30 [size =\"37134336\"]\n  22 -> 32 [size =\"37134336\"]\n  22 -> 33 [size =\"37134336\"]\n  23 [size=\"123781120\", alpha=\"0.10\", expect_size=\"49512448\"] \n  23 -> 28 [size =\"49512448\"]\n  23 -> 29 [size =\"49512448\"]\n  23 -> 30 [size =\"49512448\"]\n  23 -> 31 [size =\"49512448\"]\n  23 -> 33 [size =\"49512448\"]\n  24 [size=\"78835200\", alpha=\"0.06\", expect_size=\"31534080\"] \n  24 -> 28 [size =\"31534080\"]\n  24 -> 30 [size =\"31534080\"]\n  24 -> 30 [size =\"31534080\"]\n  24 -> 31 [size =\"31534080\"]\n  25 [size=\"34639360\", alpha=\"0.04\", expect_size=\"13855744\"] \n  25 -> 31 [size =\"13855744\"]\n  25 -> 32 [size =\"13855744\"]\n  25 -> 33 [size =\"13855744\"]\n  26 [size=\"25287680\", alpha=\"0.10\", expect_size=\"10115072\"] \n  26 -> 28 [size =\"10115072\"]\n  26 -> 30 [size =\"10115072\"]\n  26 -> 31 [size =\"10115072\"]\n  26 -> 32 [size =\"10115072\"]\n  26 -> 33 [size =\"10115072\"]\n  27 [size=\"34275840\", alpha=\"0.16\", expect_size=\"13710336\"] \n  27 -> 29 [size =\"13710336\"]\n  27 -> 31 [size =\"13710336\"]\n  27 -> 33 [size =\"13710336\"]\n  28 [size=\"55966720\", alpha=\"0.01\", expect_size=\"22386688\"] \n  28 -> 35 [size =\"22386688\"]\n  28 -> 39 [size =\"22386688\"]\n  28 -> 40 [size =\"22386688\"]\n  29 [size=\"112046080\", alpha=\"0.07\", expect_size=\"44818432\"] \n  29 -> 35 [size =\"44818432\"]\n  29 -> 36 [size =\"44818432\"]\n  29 -> 38 [size =\"44818432\"]\n  29 -> 39 [size =\"44818432\"]\n  29 -> 40 [size =\"44818432\"]\n  30 [size=\"34406400\", alpha=\"0.16\", expect_size=\"13762560\"] \n  30 -> 35 [size =\"13762560\"]\n  30 -> 37 [size =\"13762560\"]\n  30 -> 38 [size =\"13762560\"]\n  30 -> 40 [size =\"13762560\"]\n  31 [size=\"17986560\", alpha=\"0.19\", expect_size=\"7194624\"] \n  31 -> 34 [size =\"7194624\"]\n  31 -> 37 [size =\"7194624\"]\n  31 -> 39 [size =\"7194624\"]\n  31 -> 40 [size =\"7194624\"]\n  32 [size=\"27225600\", alpha=\"0.03\", expect_size=\"10890240\"] \n  32 -> 34 [size =\"10890240\"]\n  32 -> 36 [size =\"10890240\"]\n  32 -> 39 [size =\"10890240\"]\n  33 [size=\"127636480\", alpha=\"0.13\", expect_size=\"51054592\"] \n  33 -> 38 [size =\"51054592\"]\n  33 -> 39 [size =\"51054592\"]\n  33 -> 39 [size =\"51054592\"]\n  34 [size=\"66001920\", alpha=\"0.16\", expect_size=\"26400768\"] \n  34 -> 41 [size =\"26400768\"]\n  34 -> 44 [size =\"26400768\"]\n  34 -> 45 [size =\"26400768\"]\n  34 -> 46 [size =\"26400768\"]\n  35 [size=\"103454720\", alpha=\"0.10\", expect_size=\"41381888\"] \n  35 -> 41 [size =\"41381888\"]\n  35 -> 43 [size =\"41381888\"]\n  35 -> 44 [size =\"41381888\"]\n  35 -> 45 [size =\"41381888\"]\n  35 -> 46 [size =\"41381888\"]\n  36 [size=\"126840320\", alpha=\"0.16\", expect_size=\"50736128\"] \n  36 -> 44 [size =\"50736128\"]\n  36 -> 46 [size =\"50736128\"]\n  37 [size=\"66690560\", alpha=\"0.00\", expect_size=\"26676224\"] \n  37 -> 42 [size =\"26676224\"]\n  37 -> 46 [size =\"26676224\"]\n  38 [size=\"41740800\", alpha=\"0.18\", expect_size=\"16696320\"] \n  38 -> 42 [size =\"16696320\"]\n  38 -> 43 [size =\"16696320\"]\n  38 -> 45 [size =\"16696320\"]\n  39 [size=\"47910400\", alpha=\"0.18\", expect_size=\"19164160\"] \n  39 -> 41 [size =\"19164160\"]\n  39 -> 45 [size =\"19164160\"]\n  39 -> 47 [size =\"19164160\"]\n  40 [size=\"89395200\", alpha=\"0.06\", expect_size=\"35758080\"] \n  40 -> 41 [size =\"35758080\"]\n  40 -> 42 [size =\"35758080\"]\n  40 -> 43 [size =\"35758080\"]\n  40 -> 45 [size =\"35758080\"]\n  40 -> 46 [size =\"35758080\"]\n  41 [size=\"65251840\", alpha=\"0.19\", expect_size=\"26100736\"] \n  41 -> 48 [size =\"26100736\"]\n  41 -> 50 [size =\"26100736\"]\n  42 [size=\"58439680\", alpha=\"0.05\", expect_size=\"23375872\"] \n  42 -> 50 [size =\"23375872\"]\n  43 [size=\"74641920\", alpha=\"0.10\", expect_size=\"29856768\"] \n  43 -> 49 [size =\"29856768\"]\n  44 [size=\"35783680\", alpha=\"0.06\", expect_size=\"14313472\"] \n  44 -> 49 [size =\"14313472\"]\n  45 [size=\"130055680\", alpha=\"0.05\", expect_size=\"52022272\"] \n  45 -> 48 [size =\"52022272\"]\n  45 -> 49 [size =\"52022272\"]\n  46 [size=\"70010880\", alpha=\"0.07\", expect_size=\"28004352\"] \n  46 -> 48 [size =\"28004352\"]\n  46 -> 49 [size =\"28004352\"]\n  46 -> 50 [size =\"28004352\"]\n  47 [size=\"45880320\", alpha=\"0.12\", expect_size=\"18352128\"] \n  47 -> 49 [size =\"18352128\"]\n  47 -> 49 [size =\"18352128\"]\n  48 [size=\"45957120\", alpha=\"0.05\", expect_size=\"18382848\"] \n  49 [size=\"33264640\", alpha=\"0.14\", expect_size=\"13305856\"] \n  50 [size=\"22156800\", alpha=\"0.07\", expect_size=\"8862720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.380.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53888000\", alpha=\"0.11\", expect_size=\"21555200\"] \n  1 -> 3 [size =\"21555200\"]\n  1 -> 5 [size =\"21555200\"]\n  2 [size=\"114181120\", alpha=\"0.09\", expect_size=\"45672448\"] \n  2 -> 4 [size =\"45672448\"]\n  3 [size=\"109004800\", alpha=\"0.03\", expect_size=\"43601920\"] \n  3 -> 8 [size =\"43601920\"]\n  4 [size=\"84249600\", alpha=\"0.08\", expect_size=\"33699840\"] \n  4 -> 6 [size =\"33699840\"]\n  5 [size=\"43499520\", alpha=\"0.14\", expect_size=\"17399808\"] \n  5 -> 6 [size =\"17399808\"]\n  5 -> 7 [size =\"17399808\"]\n  6 [size=\"14586880\", alpha=\"0.03\", expect_size=\"5834752\"] \n  6 -> 10 [size =\"5834752\"]\n  7 [size=\"84943360\", alpha=\"0.12\", expect_size=\"33977344\"] \n  7 -> 10 [size =\"33977344\"]\n  8 [size=\"75612160\", alpha=\"0.17\", expect_size=\"30244864\"] \n  8 -> 9 [size =\"30244864\"]\n  9 [size=\"48693760\", alpha=\"0.13\", expect_size=\"19477504\"] \n  10 [size=\"46456320\", alpha=\"0.10\", expect_size=\"18582528\"] \n  10 -> 11 [size =\"18582528\"]\n  10 -> 12 [size =\"18582528\"]\n  10 -> 13 [size =\"18582528\"]\n  11 [size=\"42618880\", alpha=\"0.16\", expect_size=\"17047552\"] \n  11 -> 15 [size =\"17047552\"]\n  12 [size=\"106516480\", alpha=\"0.02\", expect_size=\"42606592\"] \n  12 -> 14 [size =\"42606592\"]\n  13 [size=\"42764800\", alpha=\"0.14\", expect_size=\"17105920\"] \n  14 [size=\"61821440\", alpha=\"0.15\", expect_size=\"24728576\"] \n  15 [size=\"106920960\", alpha=\"0.15\", expect_size=\"42768384\"] \n  15 -> 16 [size =\"42768384\"]\n  15 -> 17 [size =\"42768384\"]\n  16 [size=\"69816320\", alpha=\"0.17\", expect_size=\"27926528\"] \n  16 -> 18 [size =\"27926528\"]\n  16 -> 20 [size =\"27926528\"]\n  17 [size=\"89359360\", alpha=\"0.19\", expect_size=\"35743744\"] \n  17 -> 19 [size =\"35743744\"]\n  18 [size=\"44188160\", alpha=\"0.13\", expect_size=\"17675264\"] \n  18 -> 22 [size =\"17675264\"]\n  19 [size=\"25564160\", alpha=\"0.07\", expect_size=\"10225664\"] \n  20 [size=\"102246400\", alpha=\"0.09\", expect_size=\"40898560\"] \n  20 -> 21 [size =\"40898560\"]\n  20 -> 22 [size =\"40898560\"]\n  21 [size=\"41036800\", alpha=\"0.18\", expect_size=\"16414720\"] \n  22 [size=\"15674880\", alpha=\"0.05\", expect_size=\"6269952\"] \n  22 -> 23 [size =\"6269952\"]\n  22 -> 24 [size =\"6269952\"]\n  23 [size=\"28218880\", alpha=\"0.07\", expect_size=\"11287552\"] \n  23 -> 25 [size =\"11287552\"]\n  23 -> 27 [size =\"11287552\"]\n  24 [size=\"111633920\", alpha=\"0.01\", expect_size=\"44653568\"] \n  24 -> 26 [size =\"44653568\"]\n  25 [size=\"84802560\", alpha=\"0.01\", expect_size=\"33921024\"] \n  25 -> 28 [size =\"33921024\"]\n  25 -> 29 [size =\"33921024\"]\n  26 [size=\"55319040\", alpha=\"0.01\", expect_size=\"22127616\"] \n  27 [size=\"37557760\", alpha=\"0.13\", expect_size=\"15023104\"] \n  27 -> 30 [size =\"15023104\"]\n  28 [size=\"33157120\", alpha=\"0.15\", expect_size=\"13262848\"] \n  28 -> 32 [size =\"13262848\"]\n  29 [size=\"110085120\", alpha=\"0.04\", expect_size=\"44034048\"] \n  30 [size=\"35351040\", alpha=\"0.18\", expect_size=\"14140416\"] \n  30 -> 31 [size =\"14140416\"]\n  30 -> 32 [size =\"14140416\"]\n  31 [size=\"90828800\", alpha=\"0.18\", expect_size=\"36331520\"] \n  32 [size=\"81372160\", alpha=\"0.13\", expect_size=\"32548864\"] \n  32 -> 33 [size =\"32548864\"]\n  32 -> 34 [size =\"32548864\"]\n  32 -> 35 [size =\"32548864\"]\n  33 [size=\"108052480\", alpha=\"0.13\", expect_size=\"43220992\"] \n  34 [size=\"30845440\", alpha=\"0.02\", expect_size=\"12338176\"] \n  34 -> 36 [size =\"12338176\"]\n  35 [size=\"38853120\", alpha=\"0.06\", expect_size=\"15541248\"] \n  35 -> 37 [size =\"15541248\"]\n  36 [size=\"44505600\", alpha=\"0.20\", expect_size=\"17802240\"] \n  36 -> 38 [size =\"17802240\"]\n  36 -> 39 [size =\"17802240\"]\n  37 [size=\"49285120\", alpha=\"0.07\", expect_size=\"19714048\"] \n  37 -> 40 [size =\"19714048\"]\n  38 [size=\"125030400\", alpha=\"0.19\", expect_size=\"50012160\"] \n  39 [size=\"98314240\", alpha=\"0.13\", expect_size=\"39325696\"] \n  39 -> 41 [size =\"39325696\"]\n  39 -> 42 [size =\"39325696\"]\n  39 -> 43 [size =\"39325696\"]\n  40 [size=\"122693120\", alpha=\"0.03\", expect_size=\"49077248\"] \n  41 [size=\"113551360\", alpha=\"0.17\", expect_size=\"45420544\"] \n  42 [size=\"100400640\", alpha=\"0.11\", expect_size=\"40160256\"] \n  42 -> 44 [size =\"40160256\"]\n  42 -> 45 [size =\"40160256\"]\n  43 [size=\"58690560\", alpha=\"0.08\", expect_size=\"23476224\"] \n  43 -> 45 [size =\"23476224\"]\n  44 [size=\"18078720\", alpha=\"0.02\", expect_size=\"7231488\"] \n  44 -> 46 [size =\"7231488\"]\n  44 -> 48 [size =\"7231488\"]\n  45 [size=\"27281920\", alpha=\"0.08\", expect_size=\"10912768\"] \n  45 -> 47 [size =\"10912768\"]\n  46 [size=\"62151680\", alpha=\"0.01\", expect_size=\"24860672\"] \n  47 [size=\"61434880\", alpha=\"0.19\", expect_size=\"24573952\"] \n  47 -> 49 [size =\"24573952\"]\n  48 [size=\"101386240\", alpha=\"0.19\", expect_size=\"40554496\"] \n  48 -> 50 [size =\"40554496\"]\n  49 [size=\"95121920\", alpha=\"0.16\", expect_size=\"38048768\"] \n  50 [size=\"55104000\", alpha=\"0.17\", expect_size=\"22041600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.381.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109242880\", alpha=\"0.01\", expect_size=\"43697152\"] \n  1 -> 37 [size =\"43697152\"]\n  1 -> 39 [size =\"43697152\"]\n  1 -> 40 [size =\"43697152\"]\n  1 -> 41 [size =\"43697152\"]\n  1 -> 44 [size =\"43697152\"]\n  1 -> 46 [size =\"43697152\"]\n  1 -> 48 [size =\"43697152\"]\n  2 [size=\"45957120\", alpha=\"0.20\", expect_size=\"18382848\"] \n  2 -> 40 [size =\"18382848\"]\n  2 -> 43 [size =\"18382848\"]\n  3 [size=\"63075840\", alpha=\"0.19\", expect_size=\"25230336\"] \n  3 -> 38 [size =\"25230336\"]\n  3 -> 40 [size =\"25230336\"]\n  3 -> 41 [size =\"25230336\"]\n  3 -> 42 [size =\"25230336\"]\n  3 -> 45 [size =\"25230336\"]\n  3 -> 48 [size =\"25230336\"]\n  4 [size=\"19496960\", alpha=\"0.08\", expect_size=\"7798784\"] \n  4 -> 38 [size =\"7798784\"]\n  4 -> 39 [size =\"7798784\"]\n  4 -> 40 [size =\"7798784\"]\n  5 [size=\"129989120\", alpha=\"0.10\", expect_size=\"51995648\"] \n  5 -> 37 [size =\"51995648\"]\n  5 -> 40 [size =\"51995648\"]\n  5 -> 42 [size =\"51995648\"]\n  5 -> 43 [size =\"51995648\"]\n  5 -> 48 [size =\"51995648\"]\n  5 -> 49 [size =\"51995648\"]\n  5 -> 50 [size =\"51995648\"]\n  6 [size=\"92398080\", alpha=\"0.19\", expect_size=\"36959232\"] \n  6 -> 39 [size =\"36959232\"]\n  6 -> 41 [size =\"36959232\"]\n  6 -> 43 [size =\"36959232\"]\n  6 -> 46 [size =\"36959232\"]\n  7 [size=\"78128640\", alpha=\"0.03\", expect_size=\"31251456\"] \n  7 -> 36 [size =\"31251456\"]\n  7 -> 39 [size =\"31251456\"]\n  7 -> 40 [size =\"31251456\"]\n  7 -> 42 [size =\"31251456\"]\n  7 -> 43 [size =\"31251456\"]\n  7 -> 45 [size =\"31251456\"]\n  7 -> 50 [size =\"31251456\"]\n  8 [size=\"67002880\", alpha=\"0.18\", expect_size=\"26801152\"] \n  8 -> 35 [size =\"26801152\"]\n  8 -> 44 [size =\"26801152\"]\n  8 -> 45 [size =\"26801152\"]\n  8 -> 46 [size =\"26801152\"]\n  8 -> 50 [size =\"26801152\"]\n  9 [size=\"63472640\", alpha=\"0.08\", expect_size=\"25389056\"] \n  9 -> 40 [size =\"25389056\"]\n  9 -> 41 [size =\"25389056\"]\n  9 -> 42 [size =\"25389056\"]\n  9 -> 44 [size =\"25389056\"]\n  9 -> 45 [size =\"25389056\"]\n  10 [size=\"16291840\", alpha=\"0.04\", expect_size=\"6516736\"] \n  10 -> 37 [size =\"6516736\"]\n  10 -> 41 [size =\"6516736\"]\n  10 -> 43 [size =\"6516736\"]\n  10 -> 45 [size =\"6516736\"]\n  10 -> 49 [size =\"6516736\"]\n  11 [size=\"121402880\", alpha=\"0.19\", expect_size=\"48561152\"] \n  11 -> 37 [size =\"48561152\"]\n  11 -> 39 [size =\"48561152\"]\n  11 -> 43 [size =\"48561152\"]\n  11 -> 45 [size =\"48561152\"]\n  11 -> 46 [size =\"48561152\"]\n  11 -> 47 [size =\"48561152\"]\n  11 -> 49 [size =\"48561152\"]\n  12 [size=\"127736320\", alpha=\"0.11\", expect_size=\"51094528\"] \n  12 -> 40 [size =\"51094528\"]\n  12 -> 49 [size =\"51094528\"]\n  13 [size=\"125089280\", alpha=\"0.05\", expect_size=\"50035712\"] \n  13 -> 40 [size =\"50035712\"]\n  13 -> 41 [size =\"50035712\"]\n  13 -> 45 [size =\"50035712\"]\n  13 -> 49 [size =\"50035712\"]\n  14 [size=\"118543360\", alpha=\"0.03\", expect_size=\"47417344\"] \n  14 -> 35 [size =\"47417344\"]\n  14 -> 39 [size =\"47417344\"]\n  14 -> 40 [size =\"47417344\"]\n  14 -> 41 [size =\"47417344\"]\n  14 -> 42 [size =\"47417344\"]\n  14 -> 46 [size =\"47417344\"]\n  14 -> 49 [size =\"47417344\"]\n  15 [size=\"50275840\", alpha=\"0.06\", expect_size=\"20110336\"] \n  15 -> 35 [size =\"20110336\"]\n  15 -> 39 [size =\"20110336\"]\n  15 -> 40 [size =\"20110336\"]\n  15 -> 43 [size =\"20110336\"]\n  16 [size=\"111470080\", alpha=\"0.14\", expect_size=\"44588032\"] \n  16 -> 40 [size =\"44588032\"]\n  16 -> 43 [size =\"44588032\"]\n  16 -> 45 [size =\"44588032\"]\n  16 -> 46 [size =\"44588032\"]\n  17 [size=\"104896000\", alpha=\"0.18\", expect_size=\"41958400\"] \n  17 -> 37 [size =\"41958400\"]\n  17 -> 38 [size =\"41958400\"]\n  17 -> 40 [size =\"41958400\"]\n  17 -> 41 [size =\"41958400\"]\n  17 -> 42 [size =\"41958400\"]\n  17 -> 43 [size =\"41958400\"]\n  17 -> 44 [size =\"41958400\"]\n  17 -> 45 [size =\"41958400\"]\n  17 -> 46 [size =\"41958400\"]\n  17 -> 47 [size =\"41958400\"]\n  17 -> 48 [size =\"41958400\"]\n  17 -> 49 [size =\"41958400\"]\n  18 [size=\"121336320\", alpha=\"0.08\", expect_size=\"48534528\"] \n  18 -> 37 [size =\"48534528\"]\n  18 -> 38 [size =\"48534528\"]\n  18 -> 39 [size =\"48534528\"]\n  18 -> 41 [size =\"48534528\"]\n  18 -> 43 [size =\"48534528\"]\n  18 -> 43 [size =\"48534528\"]\n  18 -> 44 [size =\"48534528\"]\n  18 -> 45 [size =\"48534528\"]\n  18 -> 46 [size =\"48534528\"]\n  18 -> 48 [size =\"48534528\"]\n  18 -> 49 [size =\"48534528\"]\n  19 [size=\"107676160\", alpha=\"0.02\", expect_size=\"43070464\"] \n  19 -> 37 [size =\"43070464\"]\n  19 -> 39 [size =\"43070464\"]\n  19 -> 41 [size =\"43070464\"]\n  19 -> 42 [size =\"43070464\"]\n  19 -> 44 [size =\"43070464\"]\n  19 -> 46 [size =\"43070464\"]\n  19 -> 49 [size =\"43070464\"]\n  20 [size=\"39569920\", alpha=\"0.19\", expect_size=\"15827968\"] \n  20 -> 37 [size =\"15827968\"]\n  20 -> 43 [size =\"15827968\"]\n  20 -> 44 [size =\"15827968\"]\n  20 -> 46 [size =\"15827968\"]\n  21 [size=\"64875520\", alpha=\"0.13\", expect_size=\"25950208\"] \n  21 -> 40 [size =\"25950208\"]\n  21 -> 41 [size =\"25950208\"]\n  21 -> 44 [size =\"25950208\"]\n  21 -> 46 [size =\"25950208\"]\n  22 [size=\"61688320\", alpha=\"0.13\", expect_size=\"24675328\"] \n  22 -> 38 [size =\"24675328\"]\n  22 -> 41 [size =\"24675328\"]\n  22 -> 42 [size =\"24675328\"]\n  22 -> 49 [size =\"24675328\"]\n  23 [size=\"124218880\", alpha=\"0.01\", expect_size=\"49687552\"] \n  23 -> 39 [size =\"49687552\"]\n  23 -> 43 [size =\"49687552\"]\n  23 -> 48 [size =\"49687552\"]\n  23 -> 49 [size =\"49687552\"]\n  24 [size=\"33149440\", alpha=\"0.10\", expect_size=\"13259776\"] \n  24 -> 35 [size =\"13259776\"]\n  24 -> 37 [size =\"13259776\"]\n  24 -> 45 [size =\"13259776\"]\n  24 -> 46 [size =\"13259776\"]\n  24 -> 49 [size =\"13259776\"]\n  24 -> 50 [size =\"13259776\"]\n  25 [size=\"50583040\", alpha=\"0.19\", expect_size=\"20233216\"] \n  25 -> 37 [size =\"20233216\"]\n  25 -> 42 [size =\"20233216\"]\n  25 -> 43 [size =\"20233216\"]\n  25 -> 48 [size =\"20233216\"]\n  25 -> 49 [size =\"20233216\"]\n  26 [size=\"88744960\", alpha=\"0.02\", expect_size=\"35497984\"] \n  26 -> 37 [size =\"35497984\"]\n  26 -> 41 [size =\"35497984\"]\n  26 -> 43 [size =\"35497984\"]\n  26 -> 45 [size =\"35497984\"]\n  27 [size=\"55828480\", alpha=\"0.15\", expect_size=\"22331392\"] \n  27 -> 37 [size =\"22331392\"]\n  27 -> 40 [size =\"22331392\"]\n  27 -> 41 [size =\"22331392\"]\n  27 -> 49 [size =\"22331392\"]\n  28 [size=\"46581760\", alpha=\"0.18\", expect_size=\"18632704\"] \n  28 -> 35 [size =\"18632704\"]\n  28 -> 40 [size =\"18632704\"]\n  28 -> 43 [size =\"18632704\"]\n  28 -> 48 [size =\"18632704\"]\n  28 -> 49 [size =\"18632704\"]\n  29 [size=\"95272960\", alpha=\"0.09\", expect_size=\"38109184\"] \n  29 -> 35 [size =\"38109184\"]\n  29 -> 37 [size =\"38109184\"]\n  29 -> 40 [size =\"38109184\"]\n  29 -> 42 [size =\"38109184\"]\n  29 -> 43 [size =\"38109184\"]\n  29 -> 44 [size =\"38109184\"]\n  30 [size=\"104404480\", alpha=\"0.00\", expect_size=\"41761792\"] \n  30 -> 37 [size =\"41761792\"]\n  30 -> 41 [size =\"41761792\"]\n  30 -> 42 [size =\"41761792\"]\n  30 -> 43 [size =\"41761792\"]\n  30 -> 49 [size =\"41761792\"]\n  30 -> 50 [size =\"41761792\"]\n  31 [size=\"100152320\", alpha=\"0.10\", expect_size=\"40060928\"] \n  31 -> 35 [size =\"40060928\"]\n  31 -> 41 [size =\"40060928\"]\n  31 -> 42 [size =\"40060928\"]\n  31 -> 45 [size =\"40060928\"]\n  31 -> 49 [size =\"40060928\"]\n  32 [size=\"60692480\", alpha=\"0.20\", expect_size=\"24276992\"] \n  32 -> 37 [size =\"24276992\"]\n  32 -> 40 [size =\"24276992\"]\n  32 -> 41 [size =\"24276992\"]\n  32 -> 49 [size =\"24276992\"]\n  33 [size=\"18877440\", alpha=\"0.08\", expect_size=\"7550976\"] \n  33 -> 35 [size =\"7550976\"]\n  33 -> 40 [size =\"7550976\"]\n  33 -> 41 [size =\"7550976\"]\n  33 -> 45 [size =\"7550976\"]\n  33 -> 47 [size =\"7550976\"]\n  33 -> 49 [size =\"7550976\"]\n  34 [size=\"24670720\", alpha=\"0.15\", expect_size=\"9868288\"] \n  34 -> 38 [size =\"9868288\"]\n  34 -> 40 [size =\"9868288\"]\n  34 -> 41 [size =\"9868288\"]\n  34 -> 43 [size =\"9868288\"]\n  34 -> 44 [size =\"9868288\"]\n  34 -> 45 [size =\"9868288\"]\n  35 [size=\"84467200\", alpha=\"0.07\", expect_size=\"33786880\"] \n  36 [size=\"79216640\", alpha=\"0.16\", expect_size=\"31686656\"] \n  37 [size=\"88217600\", alpha=\"0.01\", expect_size=\"35287040\"] \n  38 [size=\"58521600\", alpha=\"0.05\", expect_size=\"23408640\"] \n  39 [size=\"44026880\", alpha=\"0.04\", expect_size=\"17610752\"] \n  40 [size=\"95104000\", alpha=\"0.07\", expect_size=\"38041600\"] \n  41 [size=\"96970240\", alpha=\"0.20\", expect_size=\"38788096\"] \n  42 [size=\"39959040\", alpha=\"0.01\", expect_size=\"15983616\"] \n  43 [size=\"38704640\", alpha=\"0.00\", expect_size=\"15481856\"] \n  44 [size=\"87219200\", alpha=\"0.03\", expect_size=\"34887680\"] \n  45 [size=\"55016960\", alpha=\"0.13\", expect_size=\"22006784\"] \n  46 [size=\"97231360\", alpha=\"0.15\", expect_size=\"38892544\"] \n  47 [size=\"76295680\", alpha=\"0.04\", expect_size=\"30518272\"] \n  48 [size=\"84003840\", alpha=\"0.19\", expect_size=\"33601536\"] \n  49 [size=\"110620160\", alpha=\"0.08\", expect_size=\"44248064\"] \n  50 [size=\"14784000\", alpha=\"0.13\", expect_size=\"5913600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.382.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66150400\", alpha=\"0.02\", expect_size=\"19845120\"] \n  1 -> 5 [size =\"19845120\"]\n  1 -> 6 [size =\"19845120\"]\n  2 [size=\"64508587\", alpha=\"0.11\", expect_size=\"19352576\"] \n  2 -> 4 [size =\"19352576\"]\n  2 -> 5 [size =\"19352576\"]\n  2 -> 6 [size =\"19352576\"]\n  3 [size=\"22483627\", alpha=\"0.01\", expect_size=\"6745088\"] \n  3 -> 5 [size =\"6745088\"]\n  3 -> 6 [size =\"6745088\"]\n  4 [size=\"160256000\", alpha=\"0.18\", expect_size=\"48076800\"] \n  4 -> 7 [size =\"48076800\"]\n  5 [size=\"147821227\", alpha=\"0.03\", expect_size=\"44346368\"] \n  5 -> 7 [size =\"44346368\"]\n  5 -> 8 [size =\"44346368\"]\n  6 [size=\"138557440\", alpha=\"0.17\", expect_size=\"41567232\"] \n  6 -> 7 [size =\"41567232\"]\n  6 -> 8 [size =\"41567232\"]\n  7 [size=\"139086507\", alpha=\"0.20\", expect_size=\"41725952\"] \n  7 -> 9 [size =\"41725952\"]\n  7 -> 10 [size =\"41725952\"]\n  8 [size=\"78950400\", alpha=\"0.05\", expect_size=\"23685120\"] \n  8 -> 9 [size =\"23685120\"]\n  8 -> 10 [size =\"23685120\"]\n  9 [size=\"128631467\", alpha=\"0.05\", expect_size=\"38589440\"] \n  9 -> 11 [size =\"38589440\"]\n  9 -> 12 [size =\"38589440\"]\n  10 [size=\"148008960\", alpha=\"0.19\", expect_size=\"44402688\"] \n  10 -> 11 [size =\"44402688\"]\n  10 -> 13 [size =\"44402688\"]\n  11 [size=\"103348907\", alpha=\"0.07\", expect_size=\"31004672\"] \n  11 -> 14 [size =\"31004672\"]\n  11 -> 15 [size =\"31004672\"]\n  12 [size=\"120934400\", alpha=\"0.06\", expect_size=\"36280320\"] \n  12 -> 14 [size =\"36280320\"]\n  12 -> 15 [size =\"36280320\"]\n  13 [size=\"52019200\", alpha=\"0.06\", expect_size=\"15605760\"] \n  13 -> 14 [size =\"15605760\"]\n  13 -> 15 [size =\"15605760\"]\n  14 [size=\"56869547\", alpha=\"0.04\", expect_size=\"17060864\"] \n  14 -> 16 [size =\"17060864\"]\n  14 -> 17 [size =\"17060864\"]\n  14 -> 18 [size =\"17060864\"]\n  15 [size=\"44550827\", alpha=\"0.12\", expect_size=\"13365248\"] \n  15 -> 16 [size =\"13365248\"]\n  15 -> 17 [size =\"13365248\"]\n  15 -> 18 [size =\"13365248\"]\n  16 [size=\"64979627\", alpha=\"0.01\", expect_size=\"19493888\"] \n  16 -> 19 [size =\"19493888\"]\n  17 [size=\"38881280\", alpha=\"0.02\", expect_size=\"11664384\"] \n  17 -> 19 [size =\"11664384\"]\n  18 [size=\"36246187\", alpha=\"0.19\", expect_size=\"10873856\"] \n  18 -> 19 [size =\"10873856\"]\n  18 -> 20 [size =\"10873856\"]\n  19 [size=\"73987413\", alpha=\"0.14\", expect_size=\"22196224\"] \n  19 -> 21 [size =\"22196224\"]\n  19 -> 22 [size =\"22196224\"]\n  19 -> 23 [size =\"22196224\"]\n  20 [size=\"112902827\", alpha=\"0.13\", expect_size=\"33870848\"] \n  20 -> 21 [size =\"33870848\"]\n  20 -> 23 [size =\"33870848\"]\n  21 [size=\"105400320\", alpha=\"0.18\", expect_size=\"31620096\"] \n  21 -> 24 [size =\"31620096\"]\n  21 -> 25 [size =\"31620096\"]\n  22 [size=\"160942080\", alpha=\"0.09\", expect_size=\"48282624\"] \n  22 -> 24 [size =\"48282624\"]\n  22 -> 25 [size =\"48282624\"]\n  23 [size=\"48032427\", alpha=\"0.00\", expect_size=\"14409728\"] \n  23 -> 24 [size =\"14409728\"]\n  23 -> 25 [size =\"14409728\"]\n  24 [size=\"97194667\", alpha=\"0.10\", expect_size=\"29158400\"] \n  24 -> 27 [size =\"29158400\"]\n  25 [size=\"132205227\", alpha=\"0.16\", expect_size=\"39661568\"] \n  25 -> 26 [size =\"39661568\"]\n  25 -> 28 [size =\"39661568\"]\n  26 [size=\"69690027\", alpha=\"0.18\", expect_size=\"20907008\"] \n  26 -> 29 [size =\"20907008\"]\n  26 -> 31 [size =\"20907008\"]\n  27 [size=\"73912320\", alpha=\"0.15\", expect_size=\"22173696\"] \n  27 -> 29 [size =\"22173696\"]\n  27 -> 31 [size =\"22173696\"]\n  28 [size=\"86855680\", alpha=\"0.20\", expect_size=\"26056704\"] \n  28 -> 29 [size =\"26056704\"]\n  28 -> 30 [size =\"26056704\"]\n  28 -> 31 [size =\"26056704\"]\n  29 [size=\"80738987\", alpha=\"0.19\", expect_size=\"24221696\"] \n  29 -> 32 [size =\"24221696\"]\n  29 -> 33 [size =\"24221696\"]\n  30 [size=\"34833067\", alpha=\"0.15\", expect_size=\"10449920\"] \n  30 -> 32 [size =\"10449920\"]\n  30 -> 33 [size =\"10449920\"]\n  31 [size=\"136089600\", alpha=\"0.01\", expect_size=\"40826880\"] \n  31 -> 32 [size =\"40826880\"]\n  31 -> 33 [size =\"40826880\"]\n  32 [size=\"118603093\", alpha=\"0.01\", expect_size=\"35580928\"] \n  32 -> 34 [size =\"35580928\"]\n  32 -> 35 [size =\"35580928\"]\n  33 [size=\"29416107\", alpha=\"0.05\", expect_size=\"8824832\"] \n  33 -> 34 [size =\"8824832\"]\n  33 -> 35 [size =\"8824832\"]\n  34 [size=\"30818987\", alpha=\"0.14\", expect_size=\"9245696\"] \n  34 -> 36 [size =\"9245696\"]\n  34 -> 37 [size =\"9245696\"]\n  35 [size=\"108305067\", alpha=\"0.07\", expect_size=\"32491520\"] \n  35 -> 36 [size =\"32491520\"]\n  35 -> 37 [size =\"32491520\"]\n  35 -> 38 [size =\"32491520\"]\n  36 [size=\"77656747\", alpha=\"0.05\", expect_size=\"23297024\"] \n  36 -> 39 [size =\"23297024\"]\n  36 -> 40 [size =\"23297024\"]\n  37 [size=\"59948373\", alpha=\"0.07\", expect_size=\"17984512\"] \n  37 -> 40 [size =\"17984512\"]\n  38 [size=\"19510613\", alpha=\"0.10\", expect_size=\"5853184\"] \n  38 -> 39 [size =\"5853184\"]\n  39 [size=\"17824427\", alpha=\"0.01\", expect_size=\"5347328\"] \n  39 -> 41 [size =\"5347328\"]\n  40 [size=\"166034773\", alpha=\"0.04\", expect_size=\"49810432\"] \n  40 -> 41 [size =\"49810432\"]\n  40 -> 42 [size =\"49810432\"]\n  41 [size=\"122828800\", alpha=\"0.19\", expect_size=\"36848640\"] \n  41 -> 43 [size =\"36848640\"]\n  41 -> 44 [size =\"36848640\"]\n  42 [size=\"131362133\", alpha=\"0.11\", expect_size=\"39408640\"] \n  42 -> 43 [size =\"39408640\"]\n  42 -> 44 [size =\"39408640\"]\n  43 [size=\"137806507\", alpha=\"0.07\", expect_size=\"41341952\"] \n  43 -> 45 [size =\"41341952\"]\n  43 -> 46 [size =\"41341952\"]\n  43 -> 47 [size =\"41341952\"]\n  44 [size=\"19425280\", alpha=\"0.14\", expect_size=\"5827584\"] \n  44 -> 45 [size =\"5827584\"]\n  44 -> 46 [size =\"5827584\"]\n  44 -> 47 [size =\"5827584\"]\n  45 [size=\"130184533\", alpha=\"0.15\", expect_size=\"39055360\"] \n  45 -> 48 [size =\"39055360\"]\n  45 -> 50 [size =\"39055360\"]\n  46 [size=\"25296213\", alpha=\"0.03\", expect_size=\"7588864\"] \n  46 -> 49 [size =\"7588864\"]\n  46 -> 50 [size =\"7588864\"]\n  47 [size=\"66843307\", alpha=\"0.18\", expect_size=\"20052992\"] \n  47 -> 49 [size =\"20052992\"]\n  47 -> 50 [size =\"20052992\"]\n  48 [size=\"118944427\", alpha=\"0.01\", expect_size=\"35683328\"] \n  49 [size=\"43083093\", alpha=\"0.13\", expect_size=\"12924928\"] \n  50 [size=\"53060267\", alpha=\"0.07\", expect_size=\"15918080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.383.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"83683840\", alpha=\"0.15\", expect_size=\"33473536\"] \n  1 -> 3 [size =\"33473536\"]\n  1 -> 4 [size =\"33473536\"]\n  2 [size=\"51310080\", alpha=\"0.07\", expect_size=\"20524032\"] \n  2 -> 3 [size =\"20524032\"]\n  2 -> 4 [size =\"20524032\"]\n  2 -> 5 [size =\"20524032\"]\n  3 [size=\"105576960\", alpha=\"0.13\", expect_size=\"42230784\"] \n  3 -> 6 [size =\"42230784\"]\n  4 [size=\"112130560\", alpha=\"0.04\", expect_size=\"44852224\"] \n  4 -> 7 [size =\"44852224\"]\n  5 [size=\"14566400\", alpha=\"0.07\", expect_size=\"5826560\"] \n  5 -> 6 [size =\"5826560\"]\n  6 [size=\"122918400\", alpha=\"0.11\", expect_size=\"49167360\"] \n  6 -> 8 [size =\"49167360\"]\n  6 -> 9 [size =\"49167360\"]\n  6 -> 10 [size =\"49167360\"]\n  7 [size=\"45312000\", alpha=\"0.04\", expect_size=\"18124800\"] \n  7 -> 9 [size =\"18124800\"]\n  8 [size=\"40327680\", alpha=\"0.04\", expect_size=\"16131072\"] \n  8 -> 12 [size =\"16131072\"]\n  9 [size=\"18956800\", alpha=\"0.10\", expect_size=\"7582720\"] \n  9 -> 11 [size =\"7582720\"]\n  9 -> 12 [size =\"7582720\"]\n  10 [size=\"45698560\", alpha=\"0.07\", expect_size=\"18279424\"] \n  10 -> 11 [size =\"18279424\"]\n  11 [size=\"54702080\", alpha=\"0.15\", expect_size=\"21880832\"] \n  11 -> 13 [size =\"21880832\"]\n  11 -> 14 [size =\"21880832\"]\n  11 -> 15 [size =\"21880832\"]\n  12 [size=\"25986560\", alpha=\"0.14\", expect_size=\"10394624\"] \n  12 -> 13 [size =\"10394624\"]\n  12 -> 14 [size =\"10394624\"]\n  12 -> 15 [size =\"10394624\"]\n  13 [size=\"65955840\", alpha=\"0.12\", expect_size=\"26382336\"] \n  13 -> 16 [size =\"26382336\"]\n  13 -> 17 [size =\"26382336\"]\n  14 [size=\"21719040\", alpha=\"0.16\", expect_size=\"8687616\"] \n  14 -> 17 [size =\"8687616\"]\n  15 [size=\"44267520\", alpha=\"0.19\", expect_size=\"17707008\"] \n  15 -> 17 [size =\"17707008\"]\n  15 -> 18 [size =\"17707008\"]\n  16 [size=\"86732800\", alpha=\"0.15\", expect_size=\"34693120\"] \n  16 -> 19 [size =\"34693120\"]\n  16 -> 20 [size =\"34693120\"]\n  17 [size=\"31723520\", alpha=\"0.01\", expect_size=\"12689408\"] \n  17 -> 20 [size =\"12689408\"]\n  18 [size=\"52692480\", alpha=\"0.14\", expect_size=\"21076992\"] \n  18 -> 20 [size =\"21076992\"]\n  19 [size=\"74790400\", alpha=\"0.14\", expect_size=\"29916160\"] \n  19 -> 21 [size =\"29916160\"]\n  19 -> 22 [size =\"29916160\"]\n  20 [size=\"18321920\", alpha=\"0.02\", expect_size=\"7328768\"] \n  20 -> 21 [size =\"7328768\"]\n  20 -> 22 [size =\"7328768\"]\n  21 [size=\"61557760\", alpha=\"0.03\", expect_size=\"24623104\"] \n  21 -> 23 [size =\"24623104\"]\n  21 -> 24 [size =\"24623104\"]\n  22 [size=\"34216960\", alpha=\"0.10\", expect_size=\"13686784\"] \n  22 -> 23 [size =\"13686784\"]\n  22 -> 24 [size =\"13686784\"]\n  23 [size=\"119424000\", alpha=\"0.13\", expect_size=\"47769600\"] \n  23 -> 26 [size =\"47769600\"]\n  23 -> 27 [size =\"47769600\"]\n  24 [size=\"71518720\", alpha=\"0.13\", expect_size=\"28607488\"] \n  24 -> 25 [size =\"28607488\"]\n  24 -> 26 [size =\"28607488\"]\n  24 -> 27 [size =\"28607488\"]\n  25 [size=\"46095360\", alpha=\"0.13\", expect_size=\"18438144\"] \n  25 -> 28 [size =\"18438144\"]\n  25 -> 29 [size =\"18438144\"]\n  25 -> 30 [size =\"18438144\"]\n  26 [size=\"41059840\", alpha=\"0.11\", expect_size=\"16423936\"] \n  26 -> 28 [size =\"16423936\"]\n  26 -> 29 [size =\"16423936\"]\n  26 -> 30 [size =\"16423936\"]\n  27 [size=\"14010880\", alpha=\"0.15\", expect_size=\"5604352\"] \n  27 -> 30 [size =\"5604352\"]\n  28 [size=\"21411840\", alpha=\"0.04\", expect_size=\"8564736\"] \n  28 -> 31 [size =\"8564736\"]\n  29 [size=\"104637440\", alpha=\"0.13\", expect_size=\"41854976\"] \n  29 -> 32 [size =\"41854976\"]\n  30 [size=\"66984960\", alpha=\"0.08\", expect_size=\"26793984\"] \n  30 -> 31 [size =\"26793984\"]\n  31 [size=\"80878080\", alpha=\"0.11\", expect_size=\"32351232\"] \n  31 -> 33 [size =\"32351232\"]\n  31 -> 34 [size =\"32351232\"]\n  32 [size=\"98931200\", alpha=\"0.15\", expect_size=\"39572480\"] \n  32 -> 33 [size =\"39572480\"]\n  32 -> 34 [size =\"39572480\"]\n  33 [size=\"41377280\", alpha=\"0.08\", expect_size=\"16550912\"] \n  33 -> 35 [size =\"16550912\"]\n  33 -> 36 [size =\"16550912\"]\n  34 [size=\"118656000\", alpha=\"0.03\", expect_size=\"47462400\"] \n  34 -> 35 [size =\"47462400\"]\n  34 -> 36 [size =\"47462400\"]\n  34 -> 37 [size =\"47462400\"]\n  35 [size=\"75898880\", alpha=\"0.03\", expect_size=\"30359552\"] \n  35 -> 38 [size =\"30359552\"]\n  35 -> 39 [size =\"30359552\"]\n  36 [size=\"32527360\", alpha=\"0.16\", expect_size=\"13010944\"] \n  36 -> 38 [size =\"13010944\"]\n  36 -> 39 [size =\"13010944\"]\n  37 [size=\"98357760\", alpha=\"0.11\", expect_size=\"39343104\"] \n  37 -> 38 [size =\"39343104\"]\n  37 -> 39 [size =\"39343104\"]\n  38 [size=\"69662720\", alpha=\"0.14\", expect_size=\"27865088\"] \n  38 -> 41 [size =\"27865088\"]\n  39 [size=\"91635200\", alpha=\"0.07\", expect_size=\"36654080\"] \n  39 -> 40 [size =\"36654080\"]\n  39 -> 41 [size =\"36654080\"]\n  40 [size=\"52154880\", alpha=\"0.00\", expect_size=\"20861952\"] \n  40 -> 42 [size =\"20861952\"]\n  40 -> 43 [size =\"20861952\"]\n  41 [size=\"101788160\", alpha=\"0.02\", expect_size=\"40715264\"] \n  41 -> 42 [size =\"40715264\"]\n  41 -> 43 [size =\"40715264\"]\n  42 [size=\"46195200\", alpha=\"0.08\", expect_size=\"18478080\"] \n  42 -> 44 [size =\"18478080\"]\n  42 -> 45 [size =\"18478080\"]\n  43 [size=\"16225280\", alpha=\"0.11\", expect_size=\"6490112\"] \n  43 -> 44 [size =\"6490112\"]\n  43 -> 45 [size =\"6490112\"]\n  44 [size=\"64727040\", alpha=\"0.05\", expect_size=\"25890816\"] \n  44 -> 47 [size =\"25890816\"]\n  44 -> 48 [size =\"25890816\"]\n  45 [size=\"82350080\", alpha=\"0.04\", expect_size=\"32940032\"] \n  45 -> 46 [size =\"32940032\"]\n  45 -> 47 [size =\"32940032\"]\n  45 -> 48 [size =\"32940032\"]\n  46 [size=\"100252160\", alpha=\"0.08\", expect_size=\"40100864\"] \n  46 -> 49 [size =\"40100864\"]\n  46 -> 50 [size =\"40100864\"]\n  47 [size=\"74099200\", alpha=\"0.12\", expect_size=\"29639680\"] \n  47 -> 49 [size =\"29639680\"]\n  47 -> 50 [size =\"29639680\"]\n  48 [size=\"22504960\", alpha=\"0.17\", expect_size=\"9001984\"] \n  48 -> 49 [size =\"9001984\"]\n  48 -> 50 [size =\"9001984\"]\n  49 [size=\"103024640\", alpha=\"0.18\", expect_size=\"41209856\"] \n  50 [size=\"23447040\", alpha=\"0.08\", expect_size=\"9378816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.384.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27709440\", alpha=\"0.04\", expect_size=\"8312832\"] \n  1 -> 7 [size =\"8312832\"]\n  1 -> 8 [size =\"8312832\"]\n  1 -> 10 [size =\"8312832\"]\n  1 -> 11 [size =\"8312832\"]\n  1 -> 12 [size =\"8312832\"]\n  2 [size=\"34263040\", alpha=\"0.04\", expect_size=\"10278912\"] \n  2 -> 8 [size =\"10278912\"]\n  2 -> 10 [size =\"10278912\"]\n  2 -> 13 [size =\"10278912\"]\n  3 [size=\"62641493\", alpha=\"0.11\", expect_size=\"18792448\"] \n  3 -> 10 [size =\"18792448\"]\n  3 -> 12 [size =\"18792448\"]\n  3 -> 13 [size =\"18792448\"]\n  4 [size=\"141141333\", alpha=\"0.10\", expect_size=\"42342400\"] \n  4 -> 7 [size =\"42342400\"]\n  4 -> 11 [size =\"42342400\"]\n  4 -> 12 [size =\"42342400\"]\n  5 [size=\"154152960\", alpha=\"0.14\", expect_size=\"46245888\"] \n  5 -> 7 [size =\"46245888\"]\n  5 -> 8 [size =\"46245888\"]\n  5 -> 9 [size =\"46245888\"]\n  5 -> 10 [size =\"46245888\"]\n  5 -> 11 [size =\"46245888\"]\n  5 -> 12 [size =\"46245888\"]\n  6 [size=\"56026453\", alpha=\"0.07\", expect_size=\"16807936\"] \n  6 -> 7 [size =\"16807936\"]\n  6 -> 11 [size =\"16807936\"]\n  7 [size=\"46243840\", alpha=\"0.15\", expect_size=\"13873152\"] \n  7 -> 14 [size =\"13873152\"]\n  7 -> 15 [size =\"13873152\"]\n  7 -> 16 [size =\"13873152\"]\n  7 -> 17 [size =\"13873152\"]\n  7 -> 18 [size =\"13873152\"]\n  7 -> 19 [size =\"13873152\"]\n  7 -> 20 [size =\"13873152\"]\n  8 [size=\"156907520\", alpha=\"0.20\", expect_size=\"47072256\"] \n  8 -> 15 [size =\"47072256\"]\n  8 -> 16 [size =\"47072256\"]\n  8 -> 16 [size =\"47072256\"]\n  8 -> 17 [size =\"47072256\"]\n  8 -> 18 [size =\"47072256\"]\n  8 -> 19 [size =\"47072256\"]\n  9 [size=\"112817493\", alpha=\"0.15\", expect_size=\"33845248\"] \n  9 -> 14 [size =\"33845248\"]\n  9 -> 15 [size =\"33845248\"]\n  9 -> 16 [size =\"33845248\"]\n  9 -> 17 [size =\"33845248\"]\n  9 -> 18 [size =\"33845248\"]\n  9 -> 19 [size =\"33845248\"]\n  10 [size=\"98088960\", alpha=\"0.07\", expect_size=\"29426688\"] \n  10 -> 14 [size =\"29426688\"]\n  10 -> 15 [size =\"29426688\"]\n  10 -> 20 [size =\"29426688\"]\n  11 [size=\"75328853\", alpha=\"0.03\", expect_size=\"22598656\"] \n  11 -> 14 [size =\"22598656\"]\n  12 [size=\"104209067\", alpha=\"0.12\", expect_size=\"31262720\"] \n  12 -> 14 [size =\"31262720\"]\n  12 -> 16 [size =\"31262720\"]\n  12 -> 17 [size =\"31262720\"]\n  12 -> 19 [size =\"31262720\"]\n  12 -> 20 [size =\"31262720\"]\n  13 [size=\"138560853\", alpha=\"0.16\", expect_size=\"41568256\"] \n  13 -> 14 [size =\"41568256\"]\n  13 -> 15 [size =\"41568256\"]\n  13 -> 16 [size =\"41568256\"]\n  13 -> 19 [size =\"41568256\"]\n  13 -> 20 [size =\"41568256\"]\n  14 [size=\"69720747\", alpha=\"0.10\", expect_size=\"20916224\"] \n  14 -> 25 [size =\"20916224\"]\n  14 -> 26 [size =\"20916224\"]\n  15 [size=\"147496960\", alpha=\"0.17\", expect_size=\"44249088\"] \n  15 -> 25 [size =\"44249088\"]\n  15 -> 27 [size =\"44249088\"]\n  16 [size=\"102669653\", alpha=\"0.11\", expect_size=\"30800896\"] \n  16 -> 24 [size =\"30800896\"]\n  16 -> 25 [size =\"30800896\"]\n  17 [size=\"161382400\", alpha=\"0.03\", expect_size=\"48414720\"] \n  17 -> 24 [size =\"48414720\"]\n  17 -> 25 [size =\"48414720\"]\n  18 [size=\"121043627\", alpha=\"0.09\", expect_size=\"36313088\"] \n  18 -> 22 [size =\"36313088\"]\n  18 -> 23 [size =\"36313088\"]\n  18 -> 24 [size =\"36313088\"]\n  18 -> 25 [size =\"36313088\"]\n  19 [size=\"120367787\", alpha=\"0.13\", expect_size=\"36110336\"] \n  19 -> 21 [size =\"36110336\"]\n  19 -> 23 [size =\"36110336\"]\n  19 -> 24 [size =\"36110336\"]\n  19 -> 25 [size =\"36110336\"]\n  19 -> 26 [size =\"36110336\"]\n  19 -> 27 [size =\"36110336\"]\n  20 [size=\"82288640\", alpha=\"0.02\", expect_size=\"24686592\"] \n  20 -> 21 [size =\"24686592\"]\n  20 -> 24 [size =\"24686592\"]\n  20 -> 24 [size =\"24686592\"]\n  20 -> 25 [size =\"24686592\"]\n  20 -> 26 [size =\"24686592\"]\n  20 -> 27 [size =\"24686592\"]\n  21 [size=\"136072533\", alpha=\"0.14\", expect_size=\"40821760\"] \n  21 -> 29 [size =\"40821760\"]\n  21 -> 30 [size =\"40821760\"]\n  21 -> 32 [size =\"40821760\"]\n  22 [size=\"161003520\", alpha=\"0.07\", expect_size=\"48301056\"] \n  22 -> 29 [size =\"48301056\"]\n  22 -> 31 [size =\"48301056\"]\n  22 -> 32 [size =\"48301056\"]\n  22 -> 34 [size =\"48301056\"]\n  23 [size=\"100232533\", alpha=\"0.06\", expect_size=\"30069760\"] \n  23 -> 29 [size =\"30069760\"]\n  23 -> 31 [size =\"30069760\"]\n  23 -> 32 [size =\"30069760\"]\n  23 -> 33 [size =\"30069760\"]\n  24 [size=\"66225493\", alpha=\"0.00\", expect_size=\"19867648\"] \n  24 -> 28 [size =\"19867648\"]\n  24 -> 29 [size =\"19867648\"]\n  24 -> 31 [size =\"19867648\"]\n  24 -> 32 [size =\"19867648\"]\n  25 [size=\"147602773\", alpha=\"0.13\", expect_size=\"44280832\"] \n  25 -> 29 [size =\"44280832\"]\n  25 -> 29 [size =\"44280832\"]\n  25 -> 31 [size =\"44280832\"]\n  25 -> 32 [size =\"44280832\"]\n  25 -> 33 [size =\"44280832\"]\n  26 [size=\"121159680\", alpha=\"0.10\", expect_size=\"36347904\"] \n  26 -> 30 [size =\"36347904\"]\n  26 -> 31 [size =\"36347904\"]\n  26 -> 32 [size =\"36347904\"]\n  27 [size=\"54091093\", alpha=\"0.10\", expect_size=\"16227328\"] \n  27 -> 30 [size =\"16227328\"]\n  27 -> 31 [size =\"16227328\"]\n  28 [size=\"75977387\", alpha=\"0.09\", expect_size=\"22793216\"] \n  28 -> 35 [size =\"22793216\"]\n  28 -> 37 [size =\"22793216\"]\n  28 -> 38 [size =\"22793216\"]\n  28 -> 39 [size =\"22793216\"]\n  28 -> 40 [size =\"22793216\"]\n  29 [size=\"145619627\", alpha=\"0.19\", expect_size=\"43685888\"] \n  29 -> 35 [size =\"43685888\"]\n  29 -> 36 [size =\"43685888\"]\n  29 -> 37 [size =\"43685888\"]\n  29 -> 38 [size =\"43685888\"]\n  29 -> 39 [size =\"43685888\"]\n  29 -> 40 [size =\"43685888\"]\n  30 [size=\"87473493\", alpha=\"0.20\", expect_size=\"26242048\"] \n  30 -> 35 [size =\"26242048\"]\n  30 -> 37 [size =\"26242048\"]\n  30 -> 39 [size =\"26242048\"]\n  30 -> 40 [size =\"26242048\"]\n  31 [size=\"106407253\", alpha=\"0.08\", expect_size=\"31922176\"] \n  31 -> 35 [size =\"31922176\"]\n  31 -> 38 [size =\"31922176\"]\n  31 -> 39 [size =\"31922176\"]\n  32 [size=\"55364267\", alpha=\"0.07\", expect_size=\"16609280\"] \n  32 -> 35 [size =\"16609280\"]\n  32 -> 36 [size =\"16609280\"]\n  32 -> 38 [size =\"16609280\"]\n  32 -> 39 [size =\"16609280\"]\n  32 -> 40 [size =\"16609280\"]\n  33 [size=\"108417707\", alpha=\"0.02\", expect_size=\"32525312\"] \n  33 -> 38 [size =\"32525312\"]\n  33 -> 39 [size =\"32525312\"]\n  33 -> 40 [size =\"32525312\"]\n  34 [size=\"153453227\", alpha=\"0.03\", expect_size=\"46035968\"] \n  34 -> 35 [size =\"46035968\"]\n  34 -> 38 [size =\"46035968\"]\n  34 -> 39 [size =\"46035968\"]\n  34 -> 40 [size =\"46035968\"]\n  35 [size=\"156846080\", alpha=\"0.00\", expect_size=\"47053824\"] \n  35 -> 41 [size =\"47053824\"]\n  35 -> 42 [size =\"47053824\"]\n  35 -> 43 [size =\"47053824\"]\n  35 -> 45 [size =\"47053824\"]\n  35 -> 46 [size =\"47053824\"]\n  36 [size=\"97986560\", alpha=\"0.09\", expect_size=\"29395968\"] \n  36 -> 41 [size =\"29395968\"]\n  36 -> 43 [size =\"29395968\"]\n  36 -> 46 [size =\"29395968\"]\n  37 [size=\"172718080\", alpha=\"0.16\", expect_size=\"51815424\"] \n  37 -> 41 [size =\"51815424\"]\n  37 -> 43 [size =\"51815424\"]\n  37 -> 44 [size =\"51815424\"]\n  37 -> 45 [size =\"51815424\"]\n  37 -> 46 [size =\"51815424\"]\n  38 [size=\"95238827\", alpha=\"0.16\", expect_size=\"28571648\"] \n  38 -> 41 [size =\"28571648\"]\n  38 -> 43 [size =\"28571648\"]\n  38 -> 46 [size =\"28571648\"]\n  39 [size=\"162263040\", alpha=\"0.09\", expect_size=\"48678912\"] \n  39 -> 41 [size =\"48678912\"]\n  39 -> 43 [size =\"48678912\"]\n  39 -> 44 [size =\"48678912\"]\n  39 -> 46 [size =\"48678912\"]\n  39 -> 47 [size =\"48678912\"]\n  40 [size=\"154565973\", alpha=\"0.10\", expect_size=\"46369792\"] \n  40 -> 41 [size =\"46369792\"]\n  40 -> 42 [size =\"46369792\"]\n  40 -> 43 [size =\"46369792\"]\n  40 -> 44 [size =\"46369792\"]\n  40 -> 46 [size =\"46369792\"]\n  41 [size=\"152756907\", alpha=\"0.07\", expect_size=\"45827072\"] \n  41 -> 48 [size =\"45827072\"]\n  41 -> 49 [size =\"45827072\"]\n  41 -> 50 [size =\"45827072\"]\n  42 [size=\"57408853\", alpha=\"0.01\", expect_size=\"17222656\"] \n  42 -> 48 [size =\"17222656\"]\n  42 -> 50 [size =\"17222656\"]\n  43 [size=\"112537600\", alpha=\"0.07\", expect_size=\"33761280\"] \n  43 -> 48 [size =\"33761280\"]\n  43 -> 50 [size =\"33761280\"]\n  44 [size=\"124661760\", alpha=\"0.18\", expect_size=\"37398528\"] \n  44 -> 48 [size =\"37398528\"]\n  44 -> 49 [size =\"37398528\"]\n  44 -> 50 [size =\"37398528\"]\n  45 [size=\"146022400\", alpha=\"0.06\", expect_size=\"43806720\"] \n  45 -> 48 [size =\"43806720\"]\n  46 [size=\"149360640\", alpha=\"0.07\", expect_size=\"44808192\"] \n  46 -> 50 [size =\"44808192\"]\n  47 [size=\"62586880\", alpha=\"0.13\", expect_size=\"18776064\"] \n  47 -> 50 [size =\"18776064\"]\n  48 [size=\"29603840\", alpha=\"0.06\", expect_size=\"8881152\"] \n  49 [size=\"153989120\", alpha=\"0.15\", expect_size=\"46196736\"] \n  50 [size=\"66768213\", alpha=\"0.14\", expect_size=\"20030464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.385.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129594880\", alpha=\"0.15\", expect_size=\"51837952\"] \n  1 -> 33 [size =\"51837952\"]\n  1 -> 35 [size =\"51837952\"]\n  1 -> 39 [size =\"51837952\"]\n  1 -> 42 [size =\"51837952\"]\n  1 -> 49 [size =\"51837952\"]\n  2 [size=\"41643520\", alpha=\"0.09\", expect_size=\"16657408\"] \n  2 -> 35 [size =\"16657408\"]\n  2 -> 39 [size =\"16657408\"]\n  2 -> 43 [size =\"16657408\"]\n  3 [size=\"92533760\", alpha=\"0.04\", expect_size=\"37013504\"] \n  3 -> 42 [size =\"37013504\"]\n  3 -> 43 [size =\"37013504\"]\n  3 -> 45 [size =\"37013504\"]\n  3 -> 49 [size =\"37013504\"]\n  3 -> 50 [size =\"37013504\"]\n  4 [size=\"63488000\", alpha=\"0.06\", expect_size=\"25395200\"] \n  4 -> 34 [size =\"25395200\"]\n  4 -> 41 [size =\"25395200\"]\n  4 -> 49 [size =\"25395200\"]\n  4 -> 50 [size =\"25395200\"]\n  5 [size=\"103480320\", alpha=\"0.18\", expect_size=\"41392128\"] \n  5 -> 33 [size =\"41392128\"]\n  5 -> 34 [size =\"41392128\"]\n  5 -> 35 [size =\"41392128\"]\n  5 -> 38 [size =\"41392128\"]\n  5 -> 42 [size =\"41392128\"]\n  5 -> 43 [size =\"41392128\"]\n  6 [size=\"108597760\", alpha=\"0.06\", expect_size=\"43439104\"] \n  6 -> 43 [size =\"43439104\"]\n  6 -> 49 [size =\"43439104\"]\n  6 -> 50 [size =\"43439104\"]\n  7 [size=\"72929280\", alpha=\"0.02\", expect_size=\"29171712\"] \n  7 -> 33 [size =\"29171712\"]\n  7 -> 35 [size =\"29171712\"]\n  7 -> 39 [size =\"29171712\"]\n  7 -> 40 [size =\"29171712\"]\n  7 -> 46 [size =\"29171712\"]\n  7 -> 49 [size =\"29171712\"]\n  7 -> 50 [size =\"29171712\"]\n  8 [size=\"69639680\", alpha=\"0.16\", expect_size=\"27855872\"] \n  8 -> 34 [size =\"27855872\"]\n  8 -> 35 [size =\"27855872\"]\n  8 -> 39 [size =\"27855872\"]\n  8 -> 40 [size =\"27855872\"]\n  8 -> 44 [size =\"27855872\"]\n  8 -> 48 [size =\"27855872\"]\n  8 -> 49 [size =\"27855872\"]\n  9 [size=\"24010240\", alpha=\"0.08\", expect_size=\"9604096\"] \n  9 -> 35 [size =\"9604096\"]\n  9 -> 40 [size =\"9604096\"]\n  9 -> 43 [size =\"9604096\"]\n  9 -> 46 [size =\"9604096\"]\n  10 [size=\"72309760\", alpha=\"0.18\", expect_size=\"28923904\"] \n  10 -> 35 [size =\"28923904\"]\n  10 -> 39 [size =\"28923904\"]\n  10 -> 40 [size =\"28923904\"]\n  10 -> 42 [size =\"28923904\"]\n  10 -> 43 [size =\"28923904\"]\n  10 -> 44 [size =\"28923904\"]\n  10 -> 46 [size =\"28923904\"]\n  10 -> 47 [size =\"28923904\"]\n  10 -> 48 [size =\"28923904\"]\n  11 [size=\"18406400\", alpha=\"0.16\", expect_size=\"7362560\"] \n  11 -> 39 [size =\"7362560\"]\n  11 -> 40 [size =\"7362560\"]\n  11 -> 40 [size =\"7362560\"]\n  11 -> 42 [size =\"7362560\"]\n  11 -> 43 [size =\"7362560\"]\n  11 -> 46 [size =\"7362560\"]\n  11 -> 46 [size =\"7362560\"]\n  11 -> 49 [size =\"7362560\"]\n  12 [size=\"109370880\", alpha=\"0.02\", expect_size=\"43748352\"] \n  12 -> 34 [size =\"43748352\"]\n  12 -> 38 [size =\"43748352\"]\n  12 -> 39 [size =\"43748352\"]\n  12 -> 40 [size =\"43748352\"]\n  12 -> 43 [size =\"43748352\"]\n  13 [size=\"43479040\", alpha=\"0.01\", expect_size=\"17391616\"] \n  13 -> 33 [size =\"17391616\"]\n  13 -> 38 [size =\"17391616\"]\n  13 -> 39 [size =\"17391616\"]\n  13 -> 40 [size =\"17391616\"]\n  13 -> 43 [size =\"17391616\"]\n  13 -> 49 [size =\"17391616\"]\n  14 [size=\"66821120\", alpha=\"0.07\", expect_size=\"26728448\"] \n  14 -> 35 [size =\"26728448\"]\n  14 -> 39 [size =\"26728448\"]\n  14 -> 41 [size =\"26728448\"]\n  14 -> 42 [size =\"26728448\"]\n  14 -> 43 [size =\"26728448\"]\n  14 -> 46 [size =\"26728448\"]\n  14 -> 49 [size =\"26728448\"]\n  14 -> 50 [size =\"26728448\"]\n  15 [size=\"104156160\", alpha=\"0.08\", expect_size=\"41662464\"] \n  15 -> 33 [size =\"41662464\"]\n  15 -> 35 [size =\"41662464\"]\n  15 -> 40 [size =\"41662464\"]\n  15 -> 45 [size =\"41662464\"]\n  15 -> 50 [size =\"41662464\"]\n  16 [size=\"94617600\", alpha=\"0.11\", expect_size=\"37847040\"] \n  16 -> 33 [size =\"37847040\"]\n  16 -> 35 [size =\"37847040\"]\n  16 -> 36 [size =\"37847040\"]\n  16 -> 38 [size =\"37847040\"]\n  16 -> 40 [size =\"37847040\"]\n  16 -> 46 [size =\"37847040\"]\n  17 [size=\"13309440\", alpha=\"0.19\", expect_size=\"5323776\"] \n  17 -> 35 [size =\"5323776\"]\n  17 -> 37 [size =\"5323776\"]\n  17 -> 39 [size =\"5323776\"]\n  17 -> 40 [size =\"5323776\"]\n  17 -> 43 [size =\"5323776\"]\n  17 -> 46 [size =\"5323776\"]\n  18 [size=\"26519040\", alpha=\"0.03\", expect_size=\"10607616\"] \n  18 -> 35 [size =\"10607616\"]\n  18 -> 37 [size =\"10607616\"]\n  18 -> 46 [size =\"10607616\"]\n  18 -> 49 [size =\"10607616\"]\n  18 -> 50 [size =\"10607616\"]\n  19 [size=\"123476480\", alpha=\"0.02\", expect_size=\"49390592\"] \n  19 -> 33 [size =\"49390592\"]\n  19 -> 39 [size =\"49390592\"]\n  19 -> 42 [size =\"49390592\"]\n  19 -> 43 [size =\"49390592\"]\n  19 -> 46 [size =\"49390592\"]\n  19 -> 49 [size =\"49390592\"]\n  20 [size=\"54709760\", alpha=\"0.02\", expect_size=\"21883904\"] \n  20 -> 33 [size =\"21883904\"]\n  20 -> 34 [size =\"21883904\"]\n  20 -> 35 [size =\"21883904\"]\n  20 -> 39 [size =\"21883904\"]\n  20 -> 43 [size =\"21883904\"]\n  20 -> 46 [size =\"21883904\"]\n  21 [size=\"41041920\", alpha=\"0.03\", expect_size=\"16416768\"] \n  21 -> 33 [size =\"16416768\"]\n  21 -> 34 [size =\"16416768\"]\n  21 -> 35 [size =\"16416768\"]\n  21 -> 40 [size =\"16416768\"]\n  21 -> 42 [size =\"16416768\"]\n  21 -> 43 [size =\"16416768\"]\n  21 -> 46 [size =\"16416768\"]\n  21 -> 49 [size =\"16416768\"]\n  21 -> 50 [size =\"16416768\"]\n  22 [size=\"15621120\", alpha=\"0.08\", expect_size=\"6248448\"] \n  22 -> 35 [size =\"6248448\"]\n  22 -> 39 [size =\"6248448\"]\n  22 -> 40 [size =\"6248448\"]\n  22 -> 42 [size =\"6248448\"]\n  22 -> 43 [size =\"6248448\"]\n  22 -> 46 [size =\"6248448\"]\n  22 -> 46 [size =\"6248448\"]\n  23 [size=\"26027520\", alpha=\"0.06\", expect_size=\"10411008\"] \n  23 -> 38 [size =\"10411008\"]\n  23 -> 39 [size =\"10411008\"]\n  23 -> 40 [size =\"10411008\"]\n  23 -> 41 [size =\"10411008\"]\n  23 -> 43 [size =\"10411008\"]\n  23 -> 49 [size =\"10411008\"]\n  24 [size=\"34449920\", alpha=\"0.14\", expect_size=\"13779968\"] \n  24 -> 35 [size =\"13779968\"]\n  24 -> 46 [size =\"13779968\"]\n  24 -> 48 [size =\"13779968\"]\n  25 [size=\"72911360\", alpha=\"0.16\", expect_size=\"29164544\"] \n  25 -> 35 [size =\"29164544\"]\n  25 -> 39 [size =\"29164544\"]\n  25 -> 40 [size =\"29164544\"]\n  25 -> 42 [size =\"29164544\"]\n  25 -> 43 [size =\"29164544\"]\n  25 -> 44 [size =\"29164544\"]\n  25 -> 48 [size =\"29164544\"]\n  25 -> 49 [size =\"29164544\"]\n  26 [size=\"121492480\", alpha=\"0.15\", expect_size=\"48596992\"] \n  26 -> 35 [size =\"48596992\"]\n  26 -> 39 [size =\"48596992\"]\n  26 -> 40 [size =\"48596992\"]\n  26 -> 43 [size =\"48596992\"]\n  26 -> 46 [size =\"48596992\"]\n  27 [size=\"65789440\", alpha=\"0.04\", expect_size=\"26315776\"] \n  27 -> 33 [size =\"26315776\"]\n  27 -> 35 [size =\"26315776\"]\n  27 -> 39 [size =\"26315776\"]\n  27 -> 40 [size =\"26315776\"]\n  27 -> 43 [size =\"26315776\"]\n  27 -> 46 [size =\"26315776\"]\n  27 -> 49 [size =\"26315776\"]\n  28 [size=\"59420160\", alpha=\"0.02\", expect_size=\"23768064\"] \n  28 -> 33 [size =\"23768064\"]\n  28 -> 35 [size =\"23768064\"]\n  28 -> 39 [size =\"23768064\"]\n  28 -> 42 [size =\"23768064\"]\n  28 -> 43 [size =\"23768064\"]\n  28 -> 44 [size =\"23768064\"]\n  29 [size=\"76085760\", alpha=\"0.02\", expect_size=\"30434304\"] \n  29 -> 33 [size =\"30434304\"]\n  29 -> 39 [size =\"30434304\"]\n  29 -> 39 [size =\"30434304\"]\n  29 -> 42 [size =\"30434304\"]\n  29 -> 43 [size =\"30434304\"]\n  29 -> 49 [size =\"30434304\"]\n  30 [size=\"86850560\", alpha=\"0.12\", expect_size=\"34740224\"] \n  30 -> 33 [size =\"34740224\"]\n  30 -> 39 [size =\"34740224\"]\n  30 -> 43 [size =\"34740224\"]\n  30 -> 44 [size =\"34740224\"]\n  30 -> 46 [size =\"34740224\"]\n  30 -> 50 [size =\"34740224\"]\n  31 [size=\"100874240\", alpha=\"0.04\", expect_size=\"40349696\"] \n  31 -> 39 [size =\"40349696\"]\n  31 -> 40 [size =\"40349696\"]\n  31 -> 48 [size =\"40349696\"]\n  31 -> 49 [size =\"40349696\"]\n  32 [size=\"116687360\", alpha=\"0.11\", expect_size=\"46674944\"] \n  32 -> 33 [size =\"46674944\"]\n  32 -> 35 [size =\"46674944\"]\n  32 -> 46 [size =\"46674944\"]\n  32 -> 49 [size =\"46674944\"]\n  32 -> 50 [size =\"46674944\"]\n  33 [size=\"44858880\", alpha=\"0.04\", expect_size=\"17943552\"] \n  34 [size=\"82785280\", alpha=\"0.05\", expect_size=\"33114112\"] \n  35 [size=\"44915200\", alpha=\"0.03\", expect_size=\"17966080\"] \n  36 [size=\"21624320\", alpha=\"0.14\", expect_size=\"8649728\"] \n  37 [size=\"108405760\", alpha=\"0.05\", expect_size=\"43362304\"] \n  38 [size=\"129157120\", alpha=\"0.18\", expect_size=\"51662848\"] \n  39 [size=\"22440960\", alpha=\"0.10\", expect_size=\"8976384\"] \n  40 [size=\"35097600\", alpha=\"0.09\", expect_size=\"14039040\"] \n  41 [size=\"108359680\", alpha=\"0.13\", expect_size=\"43343872\"] \n  42 [size=\"129569280\", alpha=\"0.17\", expect_size=\"51827712\"] \n  43 [size=\"77022720\", alpha=\"0.04\", expect_size=\"30809088\"] \n  44 [size=\"99056640\", alpha=\"0.14\", expect_size=\"39622656\"] \n  45 [size=\"13463040\", alpha=\"0.14\", expect_size=\"5385216\"] \n  46 [size=\"29250560\", alpha=\"0.12\", expect_size=\"11700224\"] \n  47 [size=\"109969920\", alpha=\"0.20\", expect_size=\"43987968\"] \n  48 [size=\"19896320\", alpha=\"0.15\", expect_size=\"7958528\"] \n  49 [size=\"126333440\", alpha=\"0.01\", expect_size=\"50533376\"] \n  50 [size=\"67793920\", alpha=\"0.20\", expect_size=\"27117568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.386.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111332693\", alpha=\"0.03\", expect_size=\"33399808\"] \n  1 -> 41 [size =\"33399808\"]\n  1 -> 46 [size =\"33399808\"]\n  1 -> 50 [size =\"33399808\"]\n  2 [size=\"47076693\", alpha=\"0.01\", expect_size=\"14123008\"] \n  2 -> 40 [size =\"14123008\"]\n  2 -> 41 [size =\"14123008\"]\n  2 -> 42 [size =\"14123008\"]\n  2 -> 43 [size =\"14123008\"]\n  2 -> 47 [size =\"14123008\"]\n  2 -> 48 [size =\"14123008\"]\n  3 [size=\"63047680\", alpha=\"0.14\", expect_size=\"18914304\"] \n  3 -> 41 [size =\"18914304\"]\n  3 -> 41 [size =\"18914304\"]\n  3 -> 48 [size =\"18914304\"]\n  3 -> 49 [size =\"18914304\"]\n  3 -> 50 [size =\"18914304\"]\n  4 [size=\"57944747\", alpha=\"0.19\", expect_size=\"17383424\"] \n  4 -> 41 [size =\"17383424\"]\n  4 -> 48 [size =\"17383424\"]\n  4 -> 48 [size =\"17383424\"]\n  5 [size=\"136519680\", alpha=\"0.06\", expect_size=\"40955904\"] \n  5 -> 40 [size =\"40955904\"]\n  5 -> 46 [size =\"40955904\"]\n  5 -> 47 [size =\"40955904\"]\n  5 -> 50 [size =\"40955904\"]\n  6 [size=\"72045227\", alpha=\"0.13\", expect_size=\"21613568\"] \n  6 -> 40 [size =\"21613568\"]\n  6 -> 42 [size =\"21613568\"]\n  6 -> 46 [size =\"21613568\"]\n  6 -> 47 [size =\"21613568\"]\n  6 -> 50 [size =\"21613568\"]\n  7 [size=\"121658027\", alpha=\"0.01\", expect_size=\"36497408\"] \n  7 -> 40 [size =\"36497408\"]\n  7 -> 41 [size =\"36497408\"]\n  7 -> 42 [size =\"36497408\"]\n  7 -> 45 [size =\"36497408\"]\n  7 -> 46 [size =\"36497408\"]\n  7 -> 48 [size =\"36497408\"]\n  7 -> 50 [size =\"36497408\"]\n  8 [size=\"132908373\", alpha=\"0.16\", expect_size=\"39872512\"] \n  8 -> 41 [size =\"39872512\"]\n  8 -> 41 [size =\"39872512\"]\n  8 -> 46 [size =\"39872512\"]\n  8 -> 47 [size =\"39872512\"]\n  8 -> 50 [size =\"39872512\"]\n  9 [size=\"100321280\", alpha=\"0.12\", expect_size=\"30096384\"] \n  9 -> 45 [size =\"30096384\"]\n  9 -> 47 [size =\"30096384\"]\n  9 -> 48 [size =\"30096384\"]\n  9 -> 50 [size =\"30096384\"]\n  10 [size=\"40605013\", alpha=\"0.06\", expect_size=\"12181504\"] \n  10 -> 41 [size =\"12181504\"]\n  10 -> 42 [size =\"12181504\"]\n  10 -> 45 [size =\"12181504\"]\n  10 -> 48 [size =\"12181504\"]\n  11 [size=\"20558507\", alpha=\"0.17\", expect_size=\"6167552\"] \n  11 -> 40 [size =\"6167552\"]\n  11 -> 41 [size =\"6167552\"]\n  11 -> 42 [size =\"6167552\"]\n  11 -> 44 [size =\"6167552\"]\n  11 -> 45 [size =\"6167552\"]\n  11 -> 47 [size =\"6167552\"]\n  11 -> 50 [size =\"6167552\"]\n  12 [size=\"43079680\", alpha=\"0.18\", expect_size=\"12923904\"] \n  12 -> 42 [size =\"12923904\"]\n  12 -> 43 [size =\"12923904\"]\n  12 -> 45 [size =\"12923904\"]\n  12 -> 47 [size =\"12923904\"]\n  12 -> 50 [size =\"12923904\"]\n  13 [size=\"48790187\", alpha=\"0.11\", expect_size=\"14637056\"] \n  13 -> 42 [size =\"14637056\"]\n  13 -> 45 [size =\"14637056\"]\n  13 -> 45 [size =\"14637056\"]\n  13 -> 47 [size =\"14637056\"]\n  13 -> 48 [size =\"14637056\"]\n  13 -> 49 [size =\"14637056\"]\n  13 -> 50 [size =\"14637056\"]\n  14 [size=\"162461013\", alpha=\"0.02\", expect_size=\"48738304\"] \n  14 -> 41 [size =\"48738304\"]\n  14 -> 42 [size =\"48738304\"]\n  14 -> 47 [size =\"48738304\"]\n  14 -> 49 [size =\"48738304\"]\n  15 [size=\"151005867\", alpha=\"0.02\", expect_size=\"45301760\"] \n  15 -> 41 [size =\"45301760\"]\n  15 -> 45 [size =\"45301760\"]\n  15 -> 46 [size =\"45301760\"]\n  15 -> 47 [size =\"45301760\"]\n  16 [size=\"39485440\", alpha=\"0.13\", expect_size=\"11845632\"] \n  16 -> 40 [size =\"11845632\"]\n  16 -> 41 [size =\"11845632\"]\n  16 -> 42 [size =\"11845632\"]\n  16 -> 47 [size =\"11845632\"]\n  17 [size=\"140926293\", alpha=\"0.04\", expect_size=\"42277888\"] \n  17 -> 41 [size =\"42277888\"]\n  17 -> 45 [size =\"42277888\"]\n  18 [size=\"145701547\", alpha=\"0.17\", expect_size=\"43710464\"] \n  18 -> 41 [size =\"43710464\"]\n  18 -> 45 [size =\"43710464\"]\n  18 -> 46 [size =\"43710464\"]\n  18 -> 48 [size =\"43710464\"]\n  19 [size=\"113612800\", alpha=\"0.04\", expect_size=\"34083840\"] \n  19 -> 40 [size =\"34083840\"]\n  19 -> 43 [size =\"34083840\"]\n  19 -> 45 [size =\"34083840\"]\n  19 -> 47 [size =\"34083840\"]\n  19 -> 48 [size =\"34083840\"]\n  20 [size=\"53968213\", alpha=\"0.10\", expect_size=\"16190464\"] \n  20 -> 40 [size =\"16190464\"]\n  20 -> 47 [size =\"16190464\"]\n  21 [size=\"102492160\", alpha=\"0.07\", expect_size=\"30747648\"] \n  21 -> 47 [size =\"30747648\"]\n  21 -> 48 [size =\"30747648\"]\n  22 [size=\"79476053\", alpha=\"0.09\", expect_size=\"23842816\"] \n  22 -> 40 [size =\"23842816\"]\n  22 -> 41 [size =\"23842816\"]\n  22 -> 45 [size =\"23842816\"]\n  22 -> 50 [size =\"23842816\"]\n  23 [size=\"61375147\", alpha=\"0.16\", expect_size=\"18412544\"] \n  23 -> 41 [size =\"18412544\"]\n  23 -> 41 [size =\"18412544\"]\n  23 -> 44 [size =\"18412544\"]\n  23 -> 45 [size =\"18412544\"]\n  23 -> 47 [size =\"18412544\"]\n  23 -> 48 [size =\"18412544\"]\n  24 [size=\"146947413\", alpha=\"0.08\", expect_size=\"44084224\"] \n  24 -> 40 [size =\"44084224\"]\n  24 -> 45 [size =\"44084224\"]\n  24 -> 47 [size =\"44084224\"]\n  25 [size=\"164119893\", alpha=\"0.16\", expect_size=\"49235968\"] \n  25 -> 40 [size =\"49235968\"]\n  25 -> 43 [size =\"49235968\"]\n  25 -> 47 [size =\"49235968\"]\n  26 [size=\"26282667\", alpha=\"0.10\", expect_size=\"7884800\"] \n  26 -> 41 [size =\"7884800\"]\n  26 -> 44 [size =\"7884800\"]\n  26 -> 45 [size =\"7884800\"]\n  27 [size=\"126522027\", alpha=\"0.18\", expect_size=\"37956608\"] \n  27 -> 41 [size =\"37956608\"]\n  27 -> 42 [size =\"37956608\"]\n  27 -> 45 [size =\"37956608\"]\n  27 -> 46 [size =\"37956608\"]\n  28 [size=\"154426027\", alpha=\"0.20\", expect_size=\"46327808\"] \n  28 -> 41 [size =\"46327808\"]\n  28 -> 45 [size =\"46327808\"]\n  28 -> 46 [size =\"46327808\"]\n  28 -> 47 [size =\"46327808\"]\n  28 -> 48 [size =\"46327808\"]\n  29 [size=\"130495147\", alpha=\"0.13\", expect_size=\"39148544\"] \n  29 -> 41 [size =\"39148544\"]\n  29 -> 42 [size =\"39148544\"]\n  29 -> 47 [size =\"39148544\"]\n  29 -> 48 [size =\"39148544\"]\n  30 [size=\"163170987\", alpha=\"0.08\", expect_size=\"48951296\"] \n  30 -> 41 [size =\"48951296\"]\n  30 -> 42 [size =\"48951296\"]\n  30 -> 45 [size =\"48951296\"]\n  30 -> 46 [size =\"48951296\"]\n  30 -> 47 [size =\"48951296\"]\n  30 -> 48 [size =\"48951296\"]\n  30 -> 50 [size =\"48951296\"]\n  31 [size=\"82916693\", alpha=\"0.05\", expect_size=\"24875008\"] \n  31 -> 40 [size =\"24875008\"]\n  31 -> 45 [size =\"24875008\"]\n  31 -> 45 [size =\"24875008\"]\n  31 -> 46 [size =\"24875008\"]\n  31 -> 47 [size =\"24875008\"]\n  31 -> 48 [size =\"24875008\"]\n  31 -> 50 [size =\"24875008\"]\n  32 [size=\"140881920\", alpha=\"0.04\", expect_size=\"42264576\"] \n  32 -> 44 [size =\"42264576\"]\n  32 -> 45 [size =\"42264576\"]\n  32 -> 47 [size =\"42264576\"]\n  32 -> 48 [size =\"42264576\"]\n  33 [size=\"52097707\", alpha=\"0.07\", expect_size=\"15629312\"] \n  33 -> 42 [size =\"15629312\"]\n  33 -> 45 [size =\"15629312\"]\n  33 -> 46 [size =\"15629312\"]\n  33 -> 47 [size =\"15629312\"]\n  33 -> 48 [size =\"15629312\"]\n  33 -> 49 [size =\"15629312\"]\n  33 -> 50 [size =\"15629312\"]\n  34 [size=\"19418453\", alpha=\"0.09\", expect_size=\"5825536\"] \n  34 -> 45 [size =\"5825536\"]\n  34 -> 45 [size =\"5825536\"]\n  34 -> 47 [size =\"5825536\"]\n  34 -> 48 [size =\"5825536\"]\n  34 -> 48 [size =\"5825536\"]\n  34 -> 50 [size =\"5825536\"]\n  35 [size=\"83319467\", alpha=\"0.08\", expect_size=\"24995840\"] \n  35 -> 41 [size =\"24995840\"]\n  35 -> 42 [size =\"24995840\"]\n  35 -> 45 [size =\"24995840\"]\n  35 -> 46 [size =\"24995840\"]\n  35 -> 50 [size =\"24995840\"]\n  36 [size=\"48271360\", alpha=\"0.10\", expect_size=\"14481408\"] \n  36 -> 41 [size =\"14481408\"]\n  36 -> 45 [size =\"14481408\"]\n  36 -> 48 [size =\"14481408\"]\n  37 [size=\"126132907\", alpha=\"0.07\", expect_size=\"37839872\"] \n  37 -> 41 [size =\"37839872\"]\n  37 -> 48 [size =\"37839872\"]\n  37 -> 50 [size =\"37839872\"]\n  38 [size=\"106513067\", alpha=\"0.00\", expect_size=\"31953920\"] \n  38 -> 44 [size =\"31953920\"]\n  38 -> 50 [size =\"31953920\"]\n  39 [size=\"104843947\", alpha=\"0.06\", expect_size=\"31453184\"] \n  39 -> 41 [size =\"31453184\"]\n  39 -> 46 [size =\"31453184\"]\n  39 -> 48 [size =\"31453184\"]\n  39 -> 50 [size =\"31453184\"]\n  40 [size=\"46690987\", alpha=\"0.17\", expect_size=\"14007296\"] \n  41 [size=\"112469333\", alpha=\"0.18\", expect_size=\"33740800\"] \n  42 [size=\"147978240\", alpha=\"0.07\", expect_size=\"44393472\"] \n  43 [size=\"21534720\", alpha=\"0.02\", expect_size=\"6460416\"] \n  44 [size=\"79022080\", alpha=\"0.13\", expect_size=\"23706624\"] \n  45 [size=\"150862507\", alpha=\"0.03\", expect_size=\"45258752\"] \n  46 [size=\"56009387\", alpha=\"0.14\", expect_size=\"16802816\"] \n  47 [size=\"131044693\", alpha=\"0.19\", expect_size=\"39313408\"] \n  48 [size=\"27562667\", alpha=\"0.01\", expect_size=\"8268800\"] \n  49 [size=\"31078400\", alpha=\"0.18\", expect_size=\"9323520\"] \n  50 [size=\"80442027\", alpha=\"0.13\", expect_size=\"24132608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.387.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25466880\", alpha=\"0.16\", expect_size=\"7640064\"] \n  1 -> 15 [size =\"7640064\"]\n  1 -> 17 [size =\"7640064\"]\n  1 -> 19 [size =\"7640064\"]\n  1 -> 20 [size =\"7640064\"]\n  1 -> 21 [size =\"7640064\"]\n  2 [size=\"47868587\", alpha=\"0.18\", expect_size=\"14360576\"] \n  2 -> 15 [size =\"14360576\"]\n  2 -> 18 [size =\"14360576\"]\n  2 -> 19 [size =\"14360576\"]\n  2 -> 20 [size =\"14360576\"]\n  3 [size=\"144875520\", alpha=\"0.04\", expect_size=\"43462656\"] \n  3 -> 15 [size =\"43462656\"]\n  3 -> 16 [size =\"43462656\"]\n  3 -> 20 [size =\"43462656\"]\n  3 -> 20 [size =\"43462656\"]\n  4 [size=\"158358187\", alpha=\"0.03\", expect_size=\"47507456\"] \n  4 -> 15 [size =\"47507456\"]\n  4 -> 17 [size =\"47507456\"]\n  4 -> 19 [size =\"47507456\"]\n  4 -> 20 [size =\"47507456\"]\n  5 [size=\"84896427\", alpha=\"0.05\", expect_size=\"25468928\"] \n  5 -> 15 [size =\"25468928\"]\n  5 -> 17 [size =\"25468928\"]\n  5 -> 19 [size =\"25468928\"]\n  6 [size=\"112704853\", alpha=\"0.16\", expect_size=\"33811456\"] \n  6 -> 14 [size =\"33811456\"]\n  6 -> 15 [size =\"33811456\"]\n  6 -> 16 [size =\"33811456\"]\n  6 -> 17 [size =\"33811456\"]\n  6 -> 18 [size =\"33811456\"]\n  7 [size=\"74181973\", alpha=\"0.15\", expect_size=\"22254592\"] \n  7 -> 15 [size =\"22254592\"]\n  7 -> 16 [size =\"22254592\"]\n  7 -> 17 [size =\"22254592\"]\n  7 -> 17 [size =\"22254592\"]\n  7 -> 19 [size =\"22254592\"]\n  7 -> 21 [size =\"22254592\"]\n  8 [size=\"114285227\", alpha=\"0.12\", expect_size=\"34285568\"] \n  8 -> 17 [size =\"34285568\"]\n  8 -> 19 [size =\"34285568\"]\n  9 [size=\"168519680\", alpha=\"0.17\", expect_size=\"50555904\"] \n  9 -> 15 [size =\"50555904\"]\n  9 -> 16 [size =\"50555904\"]\n  10 [size=\"76339200\", alpha=\"0.03\", expect_size=\"22901760\"] \n  10 -> 19 [size =\"22901760\"]\n  10 -> 21 [size =\"22901760\"]\n  11 [size=\"64863573\", alpha=\"0.16\", expect_size=\"19459072\"] \n  11 -> 16 [size =\"19459072\"]\n  11 -> 17 [size =\"19459072\"]\n  11 -> 18 [size =\"19459072\"]\n  11 -> 19 [size =\"19459072\"]\n  11 -> 20 [size =\"19459072\"]\n  11 -> 21 [size =\"19459072\"]\n  12 [size=\"30470827\", alpha=\"0.17\", expect_size=\"9141248\"] \n  12 -> 14 [size =\"9141248\"]\n  12 -> 16 [size =\"9141248\"]\n  12 -> 17 [size =\"9141248\"]\n  12 -> 20 [size =\"9141248\"]\n  13 [size=\"18223787\", alpha=\"0.12\", expect_size=\"5467136\"] \n  13 -> 17 [size =\"5467136\"]\n  14 [size=\"46209707\", alpha=\"0.15\", expect_size=\"13862912\"] \n  14 -> 22 [size =\"13862912\"]\n  14 -> 23 [size =\"13862912\"]\n  14 -> 24 [size =\"13862912\"]\n  14 -> 25 [size =\"13862912\"]\n  14 -> 28 [size =\"13862912\"]\n  14 -> 31 [size =\"13862912\"]\n  15 [size=\"70154240\", alpha=\"0.10\", expect_size=\"21046272\"] \n  15 -> 25 [size =\"21046272\"]\n  15 -> 26 [size =\"21046272\"]\n  15 -> 30 [size =\"21046272\"]\n  15 -> 31 [size =\"21046272\"]\n  15 -> 33 [size =\"21046272\"]\n  16 [size=\"110120960\", alpha=\"0.06\", expect_size=\"33036288\"] \n  16 -> 24 [size =\"33036288\"]\n  16 -> 27 [size =\"33036288\"]\n  16 -> 32 [size =\"33036288\"]\n  16 -> 33 [size =\"33036288\"]\n  17 [size=\"75516587\", alpha=\"0.18\", expect_size=\"22654976\"] \n  17 -> 25 [size =\"22654976\"]\n  17 -> 26 [size =\"22654976\"]\n  17 -> 27 [size =\"22654976\"]\n  17 -> 31 [size =\"22654976\"]\n  17 -> 32 [size =\"22654976\"]\n  18 [size=\"34461013\", alpha=\"0.06\", expect_size=\"10338304\"] \n  18 -> 24 [size =\"10338304\"]\n  18 -> 27 [size =\"10338304\"]\n  18 -> 29 [size =\"10338304\"]\n  18 -> 31 [size =\"10338304\"]\n  18 -> 32 [size =\"10338304\"]\n  18 -> 33 [size =\"10338304\"]\n  19 [size=\"132256427\", alpha=\"0.15\", expect_size=\"39676928\"] \n  19 -> 23 [size =\"39676928\"]\n  19 -> 24 [size =\"39676928\"]\n  19 -> 27 [size =\"39676928\"]\n  20 [size=\"105332053\", alpha=\"0.07\", expect_size=\"31599616\"] \n  20 -> 23 [size =\"31599616\"]\n  20 -> 25 [size =\"31599616\"]\n  20 -> 26 [size =\"31599616\"]\n  20 -> 31 [size =\"31599616\"]\n  20 -> 32 [size =\"31599616\"]\n  21 [size=\"128819200\", alpha=\"0.19\", expect_size=\"38645760\"] \n  21 -> 24 [size =\"38645760\"]\n  21 -> 25 [size =\"38645760\"]\n  21 -> 27 [size =\"38645760\"]\n  21 -> 28 [size =\"38645760\"]\n  21 -> 30 [size =\"38645760\"]\n  21 -> 32 [size =\"38645760\"]\n  22 [size=\"101287253\", alpha=\"0.15\", expect_size=\"30386176\"] \n  22 -> 35 [size =\"30386176\"]\n  22 -> 37 [size =\"30386176\"]\n  22 -> 40 [size =\"30386176\"]\n  22 -> 40 [size =\"30386176\"]\n  22 -> 44 [size =\"30386176\"]\n  22 -> 48 [size =\"30386176\"]\n  22 -> 49 [size =\"30386176\"]\n  22 -> 50 [size =\"30386176\"]\n  23 [size=\"79936853\", alpha=\"0.08\", expect_size=\"23981056\"] \n  23 -> 35 [size =\"23981056\"]\n  23 -> 37 [size =\"23981056\"]\n  23 -> 38 [size =\"23981056\"]\n  23 -> 40 [size =\"23981056\"]\n  23 -> 41 [size =\"23981056\"]\n  23 -> 47 [size =\"23981056\"]\n  23 -> 49 [size =\"23981056\"]\n  24 [size=\"170994347\", alpha=\"0.18\", expect_size=\"51298304\"] \n  24 -> 41 [size =\"51298304\"]\n  24 -> 46 [size =\"51298304\"]\n  24 -> 49 [size =\"51298304\"]\n  24 -> 50 [size =\"51298304\"]\n  25 [size=\"133379413\", alpha=\"0.17\", expect_size=\"40013824\"] \n  25 -> 39 [size =\"40013824\"]\n  25 -> 44 [size =\"40013824\"]\n  25 -> 46 [size =\"40013824\"]\n  25 -> 47 [size =\"40013824\"]\n  25 -> 49 [size =\"40013824\"]\n  26 [size=\"52708693\", alpha=\"0.08\", expect_size=\"15812608\"] \n  26 -> 41 [size =\"15812608\"]\n  26 -> 43 [size =\"15812608\"]\n  26 -> 46 [size =\"15812608\"]\n  26 -> 47 [size =\"15812608\"]\n  27 [size=\"100232533\", alpha=\"0.06\", expect_size=\"30069760\"] \n  27 -> 35 [size =\"30069760\"]\n  27 -> 42 [size =\"30069760\"]\n  27 -> 46 [size =\"30069760\"]\n  27 -> 47 [size =\"30069760\"]\n  28 [size=\"81056427\", alpha=\"0.17\", expect_size=\"24316928\"] \n  28 -> 34 [size =\"24316928\"]\n  28 -> 35 [size =\"24316928\"]\n  28 -> 36 [size =\"24316928\"]\n  28 -> 37 [size =\"24316928\"]\n  28 -> 40 [size =\"24316928\"]\n  28 -> 41 [size =\"24316928\"]\n  28 -> 42 [size =\"24316928\"]\n  28 -> 44 [size =\"24316928\"]\n  28 -> 47 [size =\"24316928\"]\n  29 [size=\"127522133\", alpha=\"0.06\", expect_size=\"38256640\"] \n  29 -> 35 [size =\"38256640\"]\n  29 -> 36 [size =\"38256640\"]\n  29 -> 39 [size =\"38256640\"]\n  29 -> 40 [size =\"38256640\"]\n  29 -> 41 [size =\"38256640\"]\n  29 -> 42 [size =\"38256640\"]\n  29 -> 49 [size =\"38256640\"]\n  29 -> 50 [size =\"38256640\"]\n  30 [size=\"91443200\", alpha=\"0.04\", expect_size=\"27432960\"] \n  30 -> 39 [size =\"27432960\"]\n  30 -> 40 [size =\"27432960\"]\n  30 -> 42 [size =\"27432960\"]\n  30 -> 44 [size =\"27432960\"]\n  30 -> 48 [size =\"27432960\"]\n  31 [size=\"144476160\", alpha=\"0.07\", expect_size=\"43342848\"] \n  31 -> 34 [size =\"43342848\"]\n  31 -> 35 [size =\"43342848\"]\n  31 -> 36 [size =\"43342848\"]\n  31 -> 40 [size =\"43342848\"]\n  31 -> 41 [size =\"43342848\"]\n  31 -> 42 [size =\"43342848\"]\n  31 -> 45 [size =\"43342848\"]\n  31 -> 46 [size =\"43342848\"]\n  31 -> 47 [size =\"43342848\"]\n  31 -> 48 [size =\"43342848\"]\n  31 -> 49 [size =\"43342848\"]\n  32 [size=\"137321813\", alpha=\"0.12\", expect_size=\"41196544\"] \n  32 -> 34 [size =\"41196544\"]\n  32 -> 35 [size =\"41196544\"]\n  32 -> 36 [size =\"41196544\"]\n  32 -> 40 [size =\"41196544\"]\n  32 -> 42 [size =\"41196544\"]\n  32 -> 44 [size =\"41196544\"]\n  32 -> 47 [size =\"41196544\"]\n  32 -> 48 [size =\"41196544\"]\n  32 -> 49 [size =\"41196544\"]\n  33 [size=\"100372480\", alpha=\"0.17\", expect_size=\"30111744\"] \n  33 -> 34 [size =\"30111744\"]\n  33 -> 37 [size =\"30111744\"]\n  33 -> 39 [size =\"30111744\"]\n  33 -> 40 [size =\"30111744\"]\n  33 -> 42 [size =\"30111744\"]\n  33 -> 44 [size =\"30111744\"]\n  33 -> 47 [size =\"30111744\"]\n  33 -> 48 [size =\"30111744\"]\n  33 -> 49 [size =\"30111744\"]\n  34 [size=\"161037653\", alpha=\"0.05\", expect_size=\"48311296\"] \n  35 [size=\"145619627\", alpha=\"0.01\", expect_size=\"43685888\"] \n  36 [size=\"121545387\", alpha=\"0.08\", expect_size=\"36463616\"] \n  37 [size=\"26763947\", alpha=\"0.02\", expect_size=\"8029184\"] \n  38 [size=\"75260587\", alpha=\"0.19\", expect_size=\"22578176\"] \n  39 [size=\"49278293\", alpha=\"0.10\", expect_size=\"14783488\"] \n  40 [size=\"99860480\", alpha=\"0.13\", expect_size=\"29958144\"] \n  41 [size=\"128590507\", alpha=\"0.09\", expect_size=\"38577152\"] \n  42 [size=\"25569280\", alpha=\"0.17\", expect_size=\"7670784\"] \n  43 [size=\"118360747\", alpha=\"0.12\", expect_size=\"35508224\"] \n  44 [size=\"93146453\", alpha=\"0.07\", expect_size=\"27943936\"] \n  45 [size=\"135946240\", alpha=\"0.16\", expect_size=\"40783872\"] \n  46 [size=\"142155093\", alpha=\"0.10\", expect_size=\"42646528\"] \n  47 [size=\"47134720\", alpha=\"0.14\", expect_size=\"14140416\"] \n  48 [size=\"66211840\", alpha=\"0.07\", expect_size=\"19863552\"] \n  49 [size=\"59084800\", alpha=\"0.13\", expect_size=\"17725440\"] \n  50 [size=\"140533760\", alpha=\"0.09\", expect_size=\"42160128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.388.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98795520\", alpha=\"0.04\", expect_size=\"29638656\"] \n  1 -> 2 [size =\"29638656\"]\n  2 [size=\"34484907\", alpha=\"0.09\", expect_size=\"10345472\"] \n  2 -> 3 [size =\"10345472\"]\n  3 [size=\"95447040\", alpha=\"0.15\", expect_size=\"28634112\"] \n  3 -> 4 [size =\"28634112\"]\n  4 [size=\"170615467\", alpha=\"0.07\", expect_size=\"51184640\"] \n  4 -> 5 [size =\"51184640\"]\n  5 [size=\"144479573\", alpha=\"0.12\", expect_size=\"43343872\"] \n  5 -> 6 [size =\"43343872\"]\n  6 [size=\"31525547\", alpha=\"0.20\", expect_size=\"9457664\"] \n  6 -> 7 [size =\"9457664\"]\n  7 [size=\"115568640\", alpha=\"0.15\", expect_size=\"34670592\"] \n  7 -> 8 [size =\"34670592\"]\n  8 [size=\"19281920\", alpha=\"0.00\", expect_size=\"5784576\"] \n  8 -> 9 [size =\"5784576\"]\n  9 [size=\"94829227\", alpha=\"0.17\", expect_size=\"28448768\"] \n  9 -> 10 [size =\"28448768\"]\n  10 [size=\"45902507\", alpha=\"0.17\", expect_size=\"13770752\"] \n  10 -> 11 [size =\"13770752\"]\n  11 [size=\"56852480\", alpha=\"0.09\", expect_size=\"17055744\"] \n  11 -> 12 [size =\"17055744\"]\n  12 [size=\"88005973\", alpha=\"0.14\", expect_size=\"26401792\"] \n  12 -> 13 [size =\"26401792\"]\n  13 [size=\"161198080\", alpha=\"0.04\", expect_size=\"48359424\"] \n  13 -> 14 [size =\"48359424\"]\n  14 [size=\"120490667\", alpha=\"0.02\", expect_size=\"36147200\"] \n  14 -> 15 [size =\"36147200\"]\n  15 [size=\"18360320\", alpha=\"0.12\", expect_size=\"5508096\"] \n  15 -> 16 [size =\"5508096\"]\n  16 [size=\"114370560\", alpha=\"0.09\", expect_size=\"34311168\"] \n  16 -> 17 [size =\"34311168\"]\n  17 [size=\"110523733\", alpha=\"0.13\", expect_size=\"33157120\"] \n  17 -> 18 [size =\"33157120\"]\n  18 [size=\"69819733\", alpha=\"0.02\", expect_size=\"20945920\"] \n  18 -> 19 [size =\"20945920\"]\n  19 [size=\"70369280\", alpha=\"0.15\", expect_size=\"21110784\"] \n  19 -> 20 [size =\"21110784\"]\n  20 [size=\"47807147\", alpha=\"0.00\", expect_size=\"14342144\"] \n  20 -> 21 [size =\"14342144\"]\n  21 [size=\"23302827\", alpha=\"0.16\", expect_size=\"6990848\"] \n  21 -> 22 [size =\"6990848\"]\n  22 [size=\"93197653\", alpha=\"0.14\", expect_size=\"27959296\"] \n  22 -> 23 [size =\"27959296\"]\n  23 [size=\"46731947\", alpha=\"0.02\", expect_size=\"14019584\"] \n  23 -> 24 [size =\"14019584\"]\n  24 [size=\"76806827\", alpha=\"0.09\", expect_size=\"23042048\"] \n  24 -> 25 [size =\"23042048\"]\n  25 [size=\"93648213\", alpha=\"0.13\", expect_size=\"28094464\"] \n  25 -> 26 [size =\"28094464\"]\n  26 [size=\"28716373\", alpha=\"0.18\", expect_size=\"8614912\"] \n  26 -> 27 [size =\"8614912\"]\n  27 [size=\"100515840\", alpha=\"0.16\", expect_size=\"30154752\"] \n  27 -> 28 [size =\"30154752\"]\n  28 [size=\"45967360\", alpha=\"0.14\", expect_size=\"13790208\"] \n  28 -> 29 [size =\"13790208\"]\n  29 [size=\"60293120\", alpha=\"0.02\", expect_size=\"18087936\"] \n  29 -> 30 [size =\"18087936\"]\n  30 [size=\"18585600\", alpha=\"0.14\", expect_size=\"5575680\"] \n  30 -> 31 [size =\"5575680\"]\n  31 [size=\"20220587\", alpha=\"0.10\", expect_size=\"6066176\"] \n  31 -> 32 [size =\"6066176\"]\n  32 [size=\"146513920\", alpha=\"0.15\", expect_size=\"43954176\"] \n  32 -> 33 [size =\"43954176\"]\n  33 [size=\"99901440\", alpha=\"0.19\", expect_size=\"29970432\"] \n  33 -> 34 [size =\"29970432\"]\n  34 [size=\"115640320\", alpha=\"0.16\", expect_size=\"34692096\"] \n  34 -> 35 [size =\"34692096\"]\n  35 [size=\"32307200\", alpha=\"0.13\", expect_size=\"9692160\"] \n  35 -> 36 [size =\"9692160\"]\n  36 [size=\"134188373\", alpha=\"0.02\", expect_size=\"40256512\"] \n  36 -> 37 [size =\"40256512\"]\n  37 [size=\"120763733\", alpha=\"0.03\", expect_size=\"36229120\"] \n  37 -> 38 [size =\"36229120\"]\n  38 [size=\"90129067\", alpha=\"0.11\", expect_size=\"27038720\"] \n  38 -> 39 [size =\"27038720\"]\n  39 [size=\"44086613\", alpha=\"0.06\", expect_size=\"13225984\"] \n  39 -> 40 [size =\"13225984\"]\n  40 [size=\"59992747\", alpha=\"0.04\", expect_size=\"17997824\"] \n  40 -> 41 [size =\"17997824\"]\n  41 [size=\"166277120\", alpha=\"0.03\", expect_size=\"49883136\"] \n  41 -> 42 [size =\"49883136\"]\n  42 [size=\"87739733\", alpha=\"0.12\", expect_size=\"26321920\"] \n  42 -> 43 [size =\"26321920\"]\n  43 [size=\"52203520\", alpha=\"0.04\", expect_size=\"15661056\"] \n  43 -> 44 [size =\"15661056\"]\n  44 [size=\"46097067\", alpha=\"0.04\", expect_size=\"13829120\"] \n  44 -> 45 [size =\"13829120\"]\n  45 [size=\"172445013\", alpha=\"0.14\", expect_size=\"51733504\"] \n  45 -> 46 [size =\"51733504\"]\n  46 [size=\"117558613\", alpha=\"0.05\", expect_size=\"35267584\"] \n  46 -> 47 [size =\"35267584\"]\n  47 [size=\"135615147\", alpha=\"0.07\", expect_size=\"40684544\"] \n  47 -> 48 [size =\"40684544\"]\n  48 [size=\"162385920\", alpha=\"0.12\", expect_size=\"48715776\"] \n  48 -> 49 [size =\"48715776\"]\n  49 [size=\"92921173\", alpha=\"0.03\", expect_size=\"27876352\"] \n  49 -> 50 [size =\"27876352\"]\n  50 [size=\"137407147\", alpha=\"0.14\", expect_size=\"41222144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.389.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63721472\", alpha=\"0.13\", expect_size=\"31860736\"] \n  1 -> 48 [size =\"31860736\"]\n  2 [size=\"83613696\", alpha=\"0.17\", expect_size=\"41806848\"] \n  2 -> 48 [size =\"41806848\"]\n  2 -> 49 [size =\"41806848\"]\n  3 [size=\"88377344\", alpha=\"0.19\", expect_size=\"44188672\"] \n  3 -> 48 [size =\"44188672\"]\n  3 -> 49 [size =\"44188672\"]\n  3 -> 50 [size =\"44188672\"]\n  4 [size=\"56938496\", alpha=\"0.13\", expect_size=\"28469248\"] \n  4 -> 49 [size =\"28469248\"]\n  5 [size=\"17786880\", alpha=\"0.20\", expect_size=\"8893440\"] \n  5 -> 48 [size =\"8893440\"]\n  5 -> 49 [size =\"8893440\"]\n  6 [size=\"99330048\", alpha=\"0.08\", expect_size=\"49665024\"] \n  6 -> 48 [size =\"49665024\"]\n  6 -> 49 [size =\"49665024\"]\n  7 [size=\"43165696\", alpha=\"0.14\", expect_size=\"21582848\"] \n  7 -> 49 [size =\"21582848\"]\n  7 -> 50 [size =\"21582848\"]\n  8 [size=\"38148096\", alpha=\"0.17\", expect_size=\"19074048\"] \n  8 -> 50 [size =\"19074048\"]\n  9 [size=\"93468672\", alpha=\"0.16\", expect_size=\"46734336\"] \n  10 [size=\"48111616\", alpha=\"0.14\", expect_size=\"24055808\"] \n  11 [size=\"83931136\", alpha=\"0.03\", expect_size=\"41965568\"] \n  11 -> 50 [size =\"41965568\"]\n  12 [size=\"49328128\", alpha=\"0.20\", expect_size=\"24664064\"] \n  12 -> 48 [size =\"24664064\"]\n  12 -> 49 [size =\"24664064\"]\n  12 -> 50 [size =\"24664064\"]\n  13 [size=\"33363968\", alpha=\"0.02\", expect_size=\"16681984\"] \n  14 [size=\"28755968\", alpha=\"0.08\", expect_size=\"14377984\"] \n  14 -> 49 [size =\"14377984\"]\n  15 [size=\"88295424\", alpha=\"0.10\", expect_size=\"44147712\"] \n  15 -> 48 [size =\"44147712\"]\n  15 -> 49 [size =\"44147712\"]\n  16 [size=\"86755328\", alpha=\"0.20\", expect_size=\"43377664\"] \n  16 -> 49 [size =\"43377664\"]\n  17 [size=\"28850176\", alpha=\"0.11\", expect_size=\"14425088\"] \n  18 [size=\"96643072\", alpha=\"0.00\", expect_size=\"48321536\"] \n  19 [size=\"82307072\", alpha=\"0.08\", expect_size=\"41153536\"] \n  19 -> 48 [size =\"41153536\"]\n  19 -> 49 [size =\"41153536\"]\n  19 -> 50 [size =\"41153536\"]\n  20 [size=\"61790208\", alpha=\"0.08\", expect_size=\"30895104\"] \n  20 -> 50 [size =\"30895104\"]\n  21 [size=\"35268608\", alpha=\"0.19\", expect_size=\"17634304\"] \n  21 -> 48 [size =\"17634304\"]\n  21 -> 50 [size =\"17634304\"]\n  22 [size=\"47886336\", alpha=\"0.06\", expect_size=\"23943168\"] \n  22 -> 48 [size =\"23943168\"]\n  23 [size=\"45703168\", alpha=\"0.09\", expect_size=\"22851584\"] \n  23 -> 50 [size =\"22851584\"]\n  24 [size=\"54532096\", alpha=\"0.02\", expect_size=\"27266048\"] \n  24 -> 50 [size =\"27266048\"]\n  25 [size=\"92366848\", alpha=\"0.16\", expect_size=\"46183424\"] \n  25 -> 48 [size =\"46183424\"]\n  25 -> 49 [size =\"46183424\"]\n  26 [size=\"45324288\", alpha=\"0.09\", expect_size=\"22662144\"] \n  26 -> 50 [size =\"22662144\"]\n  27 [size=\"43212800\", alpha=\"0.10\", expect_size=\"21606400\"] \n  27 -> 48 [size =\"21606400\"]\n  28 [size=\"93949952\", alpha=\"0.16\", expect_size=\"46974976\"] \n  28 -> 48 [size =\"46974976\"]\n  29 [size=\"95485952\", alpha=\"0.19\", expect_size=\"47742976\"] \n  30 [size=\"39383040\", alpha=\"0.11\", expect_size=\"19691520\"] \n  30 -> 50 [size =\"19691520\"]\n  31 [size=\"76662784\", alpha=\"0.18\", expect_size=\"38331392\"] \n  32 [size=\"71821312\", alpha=\"0.14\", expect_size=\"35910656\"] \n  32 -> 48 [size =\"35910656\"]\n  33 [size=\"97984512\", alpha=\"0.14\", expect_size=\"48992256\"] \n  33 -> 48 [size =\"48992256\"]\n  34 [size=\"44304384\", alpha=\"0.18\", expect_size=\"22152192\"] \n  34 -> 48 [size =\"22152192\"]\n  35 [size=\"51605504\", alpha=\"0.19\", expect_size=\"25802752\"] \n  35 -> 48 [size =\"25802752\"]\n  36 [size=\"32819200\", alpha=\"0.16\", expect_size=\"16409600\"] \n  36 -> 48 [size =\"16409600\"]\n  36 -> 49 [size =\"16409600\"]\n  37 [size=\"76791808\", alpha=\"0.16\", expect_size=\"38395904\"] \n  37 -> 48 [size =\"38395904\"]\n  37 -> 50 [size =\"38395904\"]\n  38 [size=\"27457536\", alpha=\"0.15\", expect_size=\"13728768\"] \n  39 [size=\"101226496\", alpha=\"0.09\", expect_size=\"50613248\"] \n  39 -> 48 [size =\"50613248\"]\n  40 [size=\"97966080\", alpha=\"0.15\", expect_size=\"48983040\"] \n  40 -> 48 [size =\"48983040\"]\n  40 -> 50 [size =\"48983040\"]\n  41 [size=\"55304192\", alpha=\"0.05\", expect_size=\"27652096\"] \n  41 -> 48 [size =\"27652096\"]\n  42 [size=\"46684160\", alpha=\"0.03\", expect_size=\"23342080\"] \n  42 -> 48 [size =\"23342080\"]\n  42 -> 50 [size =\"23342080\"]\n  43 [size=\"16580608\", alpha=\"0.09\", expect_size=\"8290304\"] \n  43 -> 48 [size =\"8290304\"]\n  43 -> 50 [size =\"8290304\"]\n  44 [size=\"82241536\", alpha=\"0.04\", expect_size=\"41120768\"] \n  44 -> 48 [size =\"41120768\"]\n  44 -> 49 [size =\"41120768\"]\n  45 [size=\"73195520\", alpha=\"0.16\", expect_size=\"36597760\"] \n  45 -> 48 [size =\"36597760\"]\n  45 -> 50 [size =\"36597760\"]\n  46 [size=\"67254272\", alpha=\"0.16\", expect_size=\"33627136\"] \n  46 -> 48 [size =\"33627136\"]\n  46 -> 50 [size =\"33627136\"]\n  47 [size=\"46315520\", alpha=\"0.03\", expect_size=\"23157760\"] \n  47 -> 48 [size =\"23157760\"]\n  47 -> 49 [size =\"23157760\"]\n  47 -> 50 [size =\"23157760\"]\n  48 [size=\"28743680\", alpha=\"0.07\", expect_size=\"14371840\"] \n  49 [size=\"100696064\", alpha=\"0.10\", expect_size=\"50348032\"] \n  50 [size=\"50878464\", alpha=\"0.18\", expect_size=\"25439232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61047467\", alpha=\"0.18\", expect_size=\"18314240\"] \n  1 -> 4 [size =\"18314240\"]\n  1 -> 5 [size =\"18314240\"]\n  2 [size=\"86241280\", alpha=\"0.02\", expect_size=\"25872384\"] \n  2 -> 4 [size =\"25872384\"]\n  3 [size=\"52995413\", alpha=\"0.20\", expect_size=\"15898624\"] \n  4 [size=\"166229333\", alpha=\"0.10\", expect_size=\"49868800\"] \n  4 -> 6 [size =\"49868800\"]\n  5 [size=\"144445440\", alpha=\"0.14\", expect_size=\"43333632\"] \n  5 -> 6 [size =\"43333632\"]\n  5 -> 7 [size =\"43333632\"]\n  6 [size=\"60422827\", alpha=\"0.15\", expect_size=\"18126848\"] \n  6 -> 8 [size =\"18126848\"]\n  6 -> 9 [size =\"18126848\"]\n  7 [size=\"27395413\", alpha=\"0.12\", expect_size=\"8218624\"] \n  7 -> 8 [size =\"8218624\"]\n  7 -> 9 [size =\"8218624\"]\n  8 [size=\"69717333\", alpha=\"0.19\", expect_size=\"20915200\"] \n  8 -> 10 [size =\"20915200\"]\n  8 -> 11 [size =\"20915200\"]\n  8 -> 12 [size =\"20915200\"]\n  9 [size=\"165522773\", alpha=\"0.16\", expect_size=\"49656832\"] \n  9 -> 11 [size =\"49656832\"]\n  9 -> 12 [size =\"49656832\"]\n  10 [size=\"128768000\", alpha=\"0.00\", expect_size=\"38630400\"] \n  10 -> 13 [size =\"38630400\"]\n  10 -> 14 [size =\"38630400\"]\n  11 [size=\"110182400\", alpha=\"0.14\", expect_size=\"33054720\"] \n  11 -> 13 [size =\"33054720\"]\n  12 [size=\"93088427\", alpha=\"0.17\", expect_size=\"27926528\"] \n  12 -> 13 [size =\"27926528\"]\n  12 -> 14 [size =\"27926528\"]\n  13 [size=\"108858027\", alpha=\"0.15\", expect_size=\"32657408\"] \n  13 -> 15 [size =\"32657408\"]\n  13 -> 16 [size =\"32657408\"]\n  13 -> 17 [size =\"32657408\"]\n  14 [size=\"106048853\", alpha=\"0.16\", expect_size=\"31814656\"] \n  14 -> 15 [size =\"31814656\"]\n  14 -> 16 [size =\"31814656\"]\n  14 -> 17 [size =\"31814656\"]\n  15 [size=\"28095147\", alpha=\"0.06\", expect_size=\"8428544\"] \n  15 -> 18 [size =\"8428544\"]\n  15 -> 19 [size =\"8428544\"]\n  16 [size=\"135280640\", alpha=\"0.14\", expect_size=\"40584192\"] \n  16 -> 19 [size =\"40584192\"]\n  16 -> 20 [size =\"40584192\"]\n  17 [size=\"99399680\", alpha=\"0.16\", expect_size=\"29819904\"] \n  17 -> 19 [size =\"29819904\"]\n  17 -> 20 [size =\"29819904\"]\n  18 [size=\"32843093\", alpha=\"0.15\", expect_size=\"9852928\"] \n  18 -> 21 [size =\"9852928\"]\n  19 [size=\"25060693\", alpha=\"0.11\", expect_size=\"7518208\"] \n  19 -> 21 [size =\"7518208\"]\n  19 -> 22 [size =\"7518208\"]\n  19 -> 23 [size =\"7518208\"]\n  20 [size=\"147824640\", alpha=\"0.20\", expect_size=\"44347392\"] \n  20 -> 22 [size =\"44347392\"]\n  20 -> 22 [size =\"44347392\"]\n  20 -> 23 [size =\"44347392\"]\n  21 [size=\"150097920\", alpha=\"0.14\", expect_size=\"45029376\"] \n  21 -> 24 [size =\"45029376\"]\n  22 [size=\"101321387\", alpha=\"0.16\", expect_size=\"30396416\"] \n  22 -> 25 [size =\"30396416\"]\n  23 [size=\"74707627\", alpha=\"0.04\", expect_size=\"22412288\"] \n  23 -> 25 [size =\"22412288\"]\n  24 [size=\"34041173\", alpha=\"0.10\", expect_size=\"10212352\"] \n  24 -> 26 [size =\"10212352\"]\n  24 -> 27 [size =\"10212352\"]\n  25 [size=\"162304000\", alpha=\"0.12\", expect_size=\"48691200\"] \n  25 -> 26 [size =\"48691200\"]\n  25 -> 28 [size =\"48691200\"]\n  26 [size=\"49257813\", alpha=\"0.00\", expect_size=\"14777344\"] \n  26 -> 30 [size =\"14777344\"]\n  27 [size=\"162225493\", alpha=\"0.09\", expect_size=\"48667648\"] \n  27 -> 29 [size =\"48667648\"]\n  27 -> 30 [size =\"48667648\"]\n  28 [size=\"130358613\", alpha=\"0.05\", expect_size=\"39107584\"] \n  28 -> 30 [size =\"39107584\"]\n  29 [size=\"88217600\", alpha=\"0.20\", expect_size=\"26465280\"] \n  29 -> 31 [size =\"26465280\"]\n  29 -> 32 [size =\"26465280\"]\n  29 -> 33 [size =\"26465280\"]\n  30 [size=\"174745600\", alpha=\"0.08\", expect_size=\"52423680\"] \n  30 -> 31 [size =\"52423680\"]\n  30 -> 32 [size =\"52423680\"]\n  30 -> 33 [size =\"52423680\"]\n  31 [size=\"171011413\", alpha=\"0.09\", expect_size=\"51303424\"] \n  31 -> 34 [size =\"51303424\"]\n  31 -> 35 [size =\"51303424\"]\n  31 -> 36 [size =\"51303424\"]\n  32 [size=\"120593067\", alpha=\"0.19\", expect_size=\"36177920\"] \n  32 -> 35 [size =\"36177920\"]\n  32 -> 36 [size =\"36177920\"]\n  33 [size=\"92252160\", alpha=\"0.01\", expect_size=\"27675648\"] \n  33 -> 34 [size =\"27675648\"]\n  33 -> 35 [size =\"27675648\"]\n  33 -> 36 [size =\"27675648\"]\n  34 [size=\"121511253\", alpha=\"0.14\", expect_size=\"36453376\"] \n  34 -> 37 [size =\"36453376\"]\n  34 -> 38 [size =\"36453376\"]\n  35 [size=\"42550613\", alpha=\"0.08\", expect_size=\"12765184\"] \n  35 -> 38 [size =\"12765184\"]\n  35 -> 39 [size =\"12765184\"]\n  36 [size=\"139629227\", alpha=\"0.17\", expect_size=\"41888768\"] \n  36 -> 38 [size =\"41888768\"]\n  36 -> 39 [size =\"41888768\"]\n  37 [size=\"141117440\", alpha=\"0.17\", expect_size=\"42335232\"] \n  37 -> 41 [size =\"42335232\"]\n  37 -> 42 [size =\"42335232\"]\n  38 [size=\"56941227\", alpha=\"0.19\", expect_size=\"17082368\"] \n  38 -> 40 [size =\"17082368\"]\n  39 [size=\"96628053\", alpha=\"0.02\", expect_size=\"28988416\"] \n  39 -> 40 [size =\"28988416\"]\n  40 [size=\"93655040\", alpha=\"0.01\", expect_size=\"28096512\"] \n  40 -> 44 [size =\"28096512\"]\n  41 [size=\"159310507\", alpha=\"0.17\", expect_size=\"47793152\"] \n  41 -> 43 [size =\"47793152\"]\n  41 -> 44 [size =\"47793152\"]\n  41 -> 45 [size =\"47793152\"]\n  42 [size=\"71731200\", alpha=\"0.04\", expect_size=\"21519360\"] \n  42 -> 44 [size =\"21519360\"]\n  42 -> 45 [size =\"21519360\"]\n  42 -> 45 [size =\"21519360\"]\n  43 [size=\"63819093\", alpha=\"0.18\", expect_size=\"19145728\"] \n  43 -> 46 [size =\"19145728\"]\n  44 [size=\"69669547\", alpha=\"0.14\", expect_size=\"20900864\"] \n  44 -> 46 [size =\"20900864\"]\n  44 -> 47 [size =\"20900864\"]\n  45 [size=\"20565333\", alpha=\"0.09\", expect_size=\"6169600\"] \n  45 -> 46 [size =\"6169600\"]\n  45 -> 47 [size =\"6169600\"]\n  46 [size=\"84418560\", alpha=\"0.07\", expect_size=\"25325568\"] \n  46 -> 48 [size =\"25325568\"]\n  46 -> 49 [size =\"25325568\"]\n  46 -> 50 [size =\"25325568\"]\n  47 [size=\"64460800\", alpha=\"0.04\", expect_size=\"19338240\"] \n  47 -> 48 [size =\"19338240\"]\n  47 -> 49 [size =\"19338240\"]\n  47 -> 50 [size =\"19338240\"]\n  48 [size=\"42618880\", alpha=\"0.16\", expect_size=\"12785664\"] \n  49 [size=\"34259627\", alpha=\"0.16\", expect_size=\"10277888\"] \n  50 [size=\"46970880\", alpha=\"0.16\", expect_size=\"14091264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.390.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66434560\", alpha=\"0.03\", expect_size=\"26573824\"] \n  1 -> 22 [size =\"26573824\"]\n  1 -> 22 [size =\"26573824\"]\n  1 -> 23 [size =\"26573824\"]\n  1 -> 26 [size =\"26573824\"]\n  1 -> 32 [size =\"26573824\"]\n  1 -> 33 [size =\"26573824\"]\n  2 [size=\"46085120\", alpha=\"0.01\", expect_size=\"18434048\"] \n  2 -> 20 [size =\"18434048\"]\n  2 -> 26 [size =\"18434048\"]\n  2 -> 29 [size =\"18434048\"]\n  2 -> 30 [size =\"18434048\"]\n  3 [size=\"68812800\", alpha=\"0.11\", expect_size=\"27525120\"] \n  3 -> 23 [size =\"27525120\"]\n  3 -> 26 [size =\"27525120\"]\n  3 -> 30 [size =\"27525120\"]\n  4 [size=\"28152320\", alpha=\"0.18\", expect_size=\"11260928\"] \n  4 -> 23 [size =\"11260928\"]\n  4 -> 26 [size =\"11260928\"]\n  4 -> 28 [size =\"11260928\"]\n  4 -> 33 [size =\"11260928\"]\n  5 [size=\"36974080\", alpha=\"0.05\", expect_size=\"14789632\"] \n  5 -> 21 [size =\"14789632\"]\n  5 -> 27 [size =\"14789632\"]\n  5 -> 28 [size =\"14789632\"]\n  5 -> 29 [size =\"14789632\"]\n  5 -> 31 [size =\"14789632\"]\n  5 -> 32 [size =\"14789632\"]\n  6 [size=\"97502720\", alpha=\"0.18\", expect_size=\"39001088\"] \n  6 -> 29 [size =\"39001088\"]\n  6 -> 30 [size =\"39001088\"]\n  7 [size=\"100390400\", alpha=\"0.19\", expect_size=\"40156160\"] \n  7 -> 29 [size =\"40156160\"]\n  7 -> 30 [size =\"40156160\"]\n  7 -> 31 [size =\"40156160\"]\n  8 [size=\"73753600\", alpha=\"0.19\", expect_size=\"29501440\"] \n  8 -> 22 [size =\"29501440\"]\n  8 -> 28 [size =\"29501440\"]\n  8 -> 29 [size =\"29501440\"]\n  8 -> 32 [size =\"29501440\"]\n  9 [size=\"33313280\", alpha=\"0.05\", expect_size=\"13325312\"] \n  9 -> 20 [size =\"13325312\"]\n  9 -> 23 [size =\"13325312\"]\n  9 -> 24 [size =\"13325312\"]\n  9 -> 32 [size =\"13325312\"]\n  10 [size=\"74288640\", alpha=\"0.15\", expect_size=\"29715456\"] \n  10 -> 21 [size =\"29715456\"]\n  10 -> 28 [size =\"29715456\"]\n  10 -> 29 [size =\"29715456\"]\n  11 [size=\"40811520\", alpha=\"0.18\", expect_size=\"16324608\"] \n  11 -> 21 [size =\"16324608\"]\n  11 -> 30 [size =\"16324608\"]\n  12 [size=\"55623680\", alpha=\"0.04\", expect_size=\"22249472\"] \n  12 -> 21 [size =\"22249472\"]\n  12 -> 23 [size =\"22249472\"]\n  12 -> 26 [size =\"22249472\"]\n  12 -> 28 [size =\"22249472\"]\n  13 [size=\"60014080\", alpha=\"0.07\", expect_size=\"24005632\"] \n  13 -> 21 [size =\"24005632\"]\n  13 -> 22 [size =\"24005632\"]\n  13 -> 23 [size =\"24005632\"]\n  13 -> 25 [size =\"24005632\"]\n  13 -> 30 [size =\"24005632\"]\n  13 -> 31 [size =\"24005632\"]\n  14 [size=\"124096000\", alpha=\"0.03\", expect_size=\"49638400\"] \n  14 -> 22 [size =\"49638400\"]\n  14 -> 24 [size =\"49638400\"]\n  14 -> 26 [size =\"49638400\"]\n  14 -> 29 [size =\"49638400\"]\n  14 -> 30 [size =\"49638400\"]\n  14 -> 31 [size =\"49638400\"]\n  14 -> 33 [size =\"49638400\"]\n  15 [size=\"109918720\", alpha=\"0.12\", expect_size=\"43967488\"] \n  15 -> 29 [size =\"43967488\"]\n  15 -> 31 [size =\"43967488\"]\n  15 -> 33 [size =\"43967488\"]\n  16 [size=\"20257280\", alpha=\"0.01\", expect_size=\"8102912\"] \n  16 -> 20 [size =\"8102912\"]\n  16 -> 22 [size =\"8102912\"]\n  16 -> 26 [size =\"8102912\"]\n  16 -> 32 [size =\"8102912\"]\n  17 [size=\"128762880\", alpha=\"0.04\", expect_size=\"51505152\"] \n  17 -> 20 [size =\"51505152\"]\n  17 -> 22 [size =\"51505152\"]\n  17 -> 23 [size =\"51505152\"]\n  17 -> 24 [size =\"51505152\"]\n  17 -> 30 [size =\"51505152\"]\n  17 -> 32 [size =\"51505152\"]\n  17 -> 33 [size =\"51505152\"]\n  18 [size=\"121185280\", alpha=\"0.11\", expect_size=\"48474112\"] \n  18 -> 22 [size =\"48474112\"]\n  18 -> 26 [size =\"48474112\"]\n  18 -> 30 [size =\"48474112\"]\n  18 -> 32 [size =\"48474112\"]\n  19 [size=\"117388800\", alpha=\"0.07\", expect_size=\"46955520\"] \n  19 -> 21 [size =\"46955520\"]\n  19 -> 22 [size =\"46955520\"]\n  19 -> 23 [size =\"46955520\"]\n  19 -> 25 [size =\"46955520\"]\n  19 -> 26 [size =\"46955520\"]\n  19 -> 28 [size =\"46955520\"]\n  19 -> 30 [size =\"46955520\"]\n  20 [size=\"31475200\", alpha=\"0.19\", expect_size=\"12590080\"] \n  20 -> 36 [size =\"12590080\"]\n  20 -> 37 [size =\"12590080\"]\n  20 -> 38 [size =\"12590080\"]\n  20 -> 39 [size =\"12590080\"]\n  20 -> 41 [size =\"12590080\"]\n  20 -> 45 [size =\"12590080\"]\n  20 -> 46 [size =\"12590080\"]\n  20 -> 49 [size =\"12590080\"]\n  21 [size=\"117921280\", alpha=\"0.01\", expect_size=\"47168512\"] \n  21 -> 35 [size =\"47168512\"]\n  21 -> 38 [size =\"47168512\"]\n  21 -> 39 [size =\"47168512\"]\n  21 -> 40 [size =\"47168512\"]\n  21 -> 41 [size =\"47168512\"]\n  21 -> 44 [size =\"47168512\"]\n  21 -> 45 [size =\"47168512\"]\n  21 -> 46 [size =\"47168512\"]\n  21 -> 48 [size =\"47168512\"]\n  21 -> 49 [size =\"47168512\"]\n  21 -> 50 [size =\"47168512\"]\n  22 [size=\"107023360\", alpha=\"0.08\", expect_size=\"42809344\"] \n  22 -> 34 [size =\"42809344\"]\n  22 -> 39 [size =\"42809344\"]\n  22 -> 44 [size =\"42809344\"]\n  22 -> 46 [size =\"42809344\"]\n  22 -> 48 [size =\"42809344\"]\n  23 [size=\"15083520\", alpha=\"0.04\", expect_size=\"6033408\"] \n  23 -> 38 [size =\"6033408\"]\n  23 -> 41 [size =\"6033408\"]\n  23 -> 44 [size =\"6033408\"]\n  23 -> 46 [size =\"6033408\"]\n  23 -> 48 [size =\"6033408\"]\n  24 [size=\"58772480\", alpha=\"0.03\", expect_size=\"23508992\"] \n  24 -> 36 [size =\"23508992\"]\n  24 -> 39 [size =\"23508992\"]\n  24 -> 41 [size =\"23508992\"]\n  24 -> 44 [size =\"23508992\"]\n  24 -> 48 [size =\"23508992\"]\n  25 [size=\"74001920\", alpha=\"0.06\", expect_size=\"29600768\"] \n  25 -> 37 [size =\"29600768\"]\n  25 -> 41 [size =\"29600768\"]\n  25 -> 42 [size =\"29600768\"]\n  25 -> 43 [size =\"29600768\"]\n  25 -> 44 [size =\"29600768\"]\n  25 -> 45 [size =\"29600768\"]\n  25 -> 48 [size =\"29600768\"]\n  25 -> 49 [size =\"29600768\"]\n  26 [size=\"26263040\", alpha=\"0.03\", expect_size=\"10505216\"] \n  26 -> 35 [size =\"10505216\"]\n  26 -> 38 [size =\"10505216\"]\n  26 -> 39 [size =\"10505216\"]\n  26 -> 44 [size =\"10505216\"]\n  26 -> 46 [size =\"10505216\"]\n  27 [size=\"29527040\", alpha=\"0.15\", expect_size=\"11810816\"] \n  27 -> 38 [size =\"11810816\"]\n  27 -> 40 [size =\"11810816\"]\n  27 -> 42 [size =\"11810816\"]\n  27 -> 43 [size =\"11810816\"]\n  27 -> 44 [size =\"11810816\"]\n  27 -> 45 [size =\"11810816\"]\n  27 -> 46 [size =\"11810816\"]\n  27 -> 47 [size =\"11810816\"]\n  28 [size=\"52106240\", alpha=\"0.17\", expect_size=\"20842496\"] \n  28 -> 38 [size =\"20842496\"]\n  28 -> 40 [size =\"20842496\"]\n  28 -> 43 [size =\"20842496\"]\n  28 -> 45 [size =\"20842496\"]\n  28 -> 46 [size =\"20842496\"]\n  28 -> 50 [size =\"20842496\"]\n  29 [size=\"118786560\", alpha=\"0.03\", expect_size=\"47514624\"] \n  29 -> 39 [size =\"47514624\"]\n  29 -> 45 [size =\"47514624\"]\n  29 -> 49 [size =\"47514624\"]\n  30 [size=\"43461120\", alpha=\"0.19\", expect_size=\"17384448\"] \n  30 -> 35 [size =\"17384448\"]\n  30 -> 38 [size =\"17384448\"]\n  30 -> 44 [size =\"17384448\"]\n  30 -> 49 [size =\"17384448\"]\n  31 [size=\"40412160\", alpha=\"0.00\", expect_size=\"16164864\"] \n  31 -> 35 [size =\"16164864\"]\n  31 -> 39 [size =\"16164864\"]\n  31 -> 48 [size =\"16164864\"]\n  31 -> 49 [size =\"16164864\"]\n  31 -> 50 [size =\"16164864\"]\n  32 [size=\"44999680\", alpha=\"0.08\", expect_size=\"17999872\"] \n  32 -> 39 [size =\"17999872\"]\n  32 -> 41 [size =\"17999872\"]\n  32 -> 45 [size =\"17999872\"]\n  32 -> 46 [size =\"17999872\"]\n  32 -> 48 [size =\"17999872\"]\n  32 -> 49 [size =\"17999872\"]\n  33 [size=\"90204160\", alpha=\"0.04\", expect_size=\"36081664\"] \n  33 -> 36 [size =\"36081664\"]\n  33 -> 37 [size =\"36081664\"]\n  33 -> 41 [size =\"36081664\"]\n  33 -> 44 [size =\"36081664\"]\n  33 -> 45 [size =\"36081664\"]\n  33 -> 46 [size =\"36081664\"]\n  33 -> 49 [size =\"36081664\"]\n  34 [size=\"113768960\", alpha=\"0.19\", expect_size=\"45507584\"] \n  35 [size=\"130741760\", alpha=\"0.10\", expect_size=\"52296704\"] \n  36 [size=\"47024640\", alpha=\"0.02\", expect_size=\"18809856\"] \n  37 [size=\"64980480\", alpha=\"0.15\", expect_size=\"25992192\"] \n  38 [size=\"35962880\", alpha=\"0.05\", expect_size=\"14385152\"] \n  39 [size=\"20620800\", alpha=\"0.13\", expect_size=\"8248320\"] \n  40 [size=\"39162880\", alpha=\"0.04\", expect_size=\"15665152\"] \n  41 [size=\"34805760\", alpha=\"0.13\", expect_size=\"13922304\"] \n  42 [size=\"35256320\", alpha=\"0.18\", expect_size=\"14102528\"] \n  43 [size=\"83036160\", alpha=\"0.03\", expect_size=\"33214464\"] \n  44 [size=\"107082240\", alpha=\"0.16\", expect_size=\"42832896\"] \n  45 [size=\"100423680\", alpha=\"0.19\", expect_size=\"40169472\"] \n  46 [size=\"41907200\", alpha=\"0.05\", expect_size=\"16762880\"] \n  47 [size=\"56645120\", alpha=\"0.13\", expect_size=\"22658048\"] \n  48 [size=\"24368640\", alpha=\"0.08\", expect_size=\"9747456\"] \n  49 [size=\"53155840\", alpha=\"0.01\", expect_size=\"21262336\"] \n  50 [size=\"129320960\", alpha=\"0.18\", expect_size=\"51728384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.391.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113107627\", alpha=\"0.03\", expect_size=\"33932288\"] \n  1 -> 2 [size =\"33932288\"]\n  2 [size=\"48981333\", alpha=\"0.16\", expect_size=\"14694400\"] \n  2 -> 3 [size =\"14694400\"]\n  3 [size=\"165205333\", alpha=\"0.16\", expect_size=\"49561600\"] \n  3 -> 4 [size =\"49561600\"]\n  4 [size=\"79469227\", alpha=\"0.03\", expect_size=\"23840768\"] \n  4 -> 5 [size =\"23840768\"]\n  5 [size=\"123658240\", alpha=\"0.07\", expect_size=\"37097472\"] \n  5 -> 6 [size =\"37097472\"]\n  6 [size=\"41045333\", alpha=\"0.14\", expect_size=\"12313600\"] \n  6 -> 7 [size =\"12313600\"]\n  7 [size=\"164123307\", alpha=\"0.04\", expect_size=\"49236992\"] \n  7 -> 8 [size =\"49236992\"]\n  8 [size=\"140315307\", alpha=\"0.08\", expect_size=\"42094592\"] \n  8 -> 9 [size =\"42094592\"]\n  9 [size=\"28125867\", alpha=\"0.19\", expect_size=\"8437760\"] \n  9 -> 10 [size =\"8437760\"]\n  10 [size=\"139513173\", alpha=\"0.12\", expect_size=\"41853952\"] \n  10 -> 11 [size =\"41853952\"]\n  11 [size=\"104683520\", alpha=\"0.03\", expect_size=\"31405056\"] \n  11 -> 12 [size =\"31405056\"]\n  12 [size=\"128481280\", alpha=\"0.15\", expect_size=\"38544384\"] \n  12 -> 13 [size =\"38544384\"]\n  13 [size=\"93392213\", alpha=\"0.17\", expect_size=\"28017664\"] \n  13 -> 14 [size =\"28017664\"]\n  14 [size=\"65443840\", alpha=\"0.18\", expect_size=\"19633152\"] \n  14 -> 15 [size =\"19633152\"]\n  15 [size=\"90664960\", alpha=\"0.15\", expect_size=\"27199488\"] \n  15 -> 16 [size =\"27199488\"]\n  16 [size=\"143370240\", alpha=\"0.04\", expect_size=\"43011072\"] \n  16 -> 17 [size =\"43011072\"]\n  17 [size=\"93624320\", alpha=\"0.12\", expect_size=\"28087296\"] \n  17 -> 18 [size =\"28087296\"]\n  18 [size=\"126873600\", alpha=\"0.13\", expect_size=\"38062080\"] \n  18 -> 19 [size =\"38062080\"]\n  19 [size=\"35648853\", alpha=\"0.00\", expect_size=\"10694656\"] \n  19 -> 20 [size =\"10694656\"]\n  20 [size=\"28634453\", alpha=\"0.18\", expect_size=\"8590336\"] \n  20 -> 21 [size =\"8590336\"]\n  21 [size=\"121098240\", alpha=\"0.08\", expect_size=\"36329472\"] \n  21 -> 22 [size =\"36329472\"]\n  22 [size=\"145602560\", alpha=\"0.01\", expect_size=\"43680768\"] \n  22 -> 23 [size =\"43680768\"]\n  23 [size=\"109223253\", alpha=\"0.14\", expect_size=\"32766976\"] \n  23 -> 24 [size =\"32766976\"]\n  24 [size=\"82763093\", alpha=\"0.14\", expect_size=\"24828928\"] \n  24 -> 25 [size =\"24828928\"]\n  25 [size=\"63959040\", alpha=\"0.08\", expect_size=\"19187712\"] \n  25 -> 26 [size =\"19187712\"]\n  26 [size=\"27924480\", alpha=\"0.05\", expect_size=\"8377344\"] \n  26 -> 27 [size =\"8377344\"]\n  27 [size=\"62566400\", alpha=\"0.01\", expect_size=\"18769920\"] \n  27 -> 28 [size =\"18769920\"]\n  28 [size=\"158730240\", alpha=\"0.12\", expect_size=\"47619072\"] \n  28 -> 29 [size =\"47619072\"]\n  29 [size=\"106147840\", alpha=\"0.04\", expect_size=\"31844352\"] \n  29 -> 30 [size =\"31844352\"]\n  30 [size=\"107789653\", alpha=\"0.13\", expect_size=\"32336896\"] \n  30 -> 31 [size =\"32336896\"]\n  31 [size=\"90494293\", alpha=\"0.12\", expect_size=\"27148288\"] \n  31 -> 32 [size =\"27148288\"]\n  32 [size=\"149896533\", alpha=\"0.05\", expect_size=\"44968960\"] \n  32 -> 33 [size =\"44968960\"]\n  33 [size=\"160215040\", alpha=\"0.08\", expect_size=\"48064512\"] \n  33 -> 34 [size =\"48064512\"]\n  34 [size=\"111899307\", alpha=\"0.17\", expect_size=\"33569792\"] \n  34 -> 35 [size =\"33569792\"]\n  35 [size=\"66935467\", alpha=\"0.15\", expect_size=\"20080640\"] \n  35 -> 36 [size =\"20080640\"]\n  36 [size=\"131515733\", alpha=\"0.10\", expect_size=\"39454720\"] \n  36 -> 37 [size =\"39454720\"]\n  37 [size=\"171919360\", alpha=\"0.14\", expect_size=\"51575808\"] \n  37 -> 38 [size =\"51575808\"]\n  38 [size=\"20227413\", alpha=\"0.12\", expect_size=\"6068224\"] \n  38 -> 39 [size =\"6068224\"]\n  39 [size=\"113848320\", alpha=\"0.12\", expect_size=\"34154496\"] \n  39 -> 40 [size =\"34154496\"]\n  40 [size=\"148865707\", alpha=\"0.13\", expect_size=\"44659712\"] \n  40 -> 41 [size =\"44659712\"]\n  41 [size=\"90030080\", alpha=\"0.08\", expect_size=\"27009024\"] \n  41 -> 42 [size =\"27009024\"]\n  42 [size=\"24548693\", alpha=\"0.19\", expect_size=\"7364608\"] \n  42 -> 43 [size =\"7364608\"]\n  43 [size=\"63433387\", alpha=\"0.02\", expect_size=\"19030016\"] \n  43 -> 44 [size =\"19030016\"]\n  44 [size=\"125317120\", alpha=\"0.13\", expect_size=\"37595136\"] \n  44 -> 45 [size =\"37595136\"]\n  45 [size=\"100877653\", alpha=\"0.10\", expect_size=\"30263296\"] \n  45 -> 46 [size =\"30263296\"]\n  46 [size=\"63310507\", alpha=\"0.09\", expect_size=\"18993152\"] \n  46 -> 47 [size =\"18993152\"]\n  47 [size=\"138509653\", alpha=\"0.13\", expect_size=\"41552896\"] \n  47 -> 48 [size =\"41552896\"]\n  48 [size=\"88053760\", alpha=\"0.15\", expect_size=\"26416128\"] \n  48 -> 49 [size =\"26416128\"]\n  49 [size=\"21340160\", alpha=\"0.08\", expect_size=\"6402048\"] \n  49 -> 50 [size =\"6402048\"]\n  50 [size=\"113824427\", alpha=\"0.13\", expect_size=\"34147328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.392.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43307008\", alpha=\"0.07\", expect_size=\"21653504\"] \n  1 -> 2 [size =\"21653504\"]\n  2 [size=\"19423232\", alpha=\"0.05\", expect_size=\"9711616\"] \n  2 -> 3 [size =\"9711616\"]\n  3 [size=\"43149312\", alpha=\"0.15\", expect_size=\"21574656\"] \n  3 -> 4 [size =\"21574656\"]\n  4 [size=\"49731584\", alpha=\"0.05\", expect_size=\"24865792\"] \n  4 -> 5 [size =\"24865792\"]\n  5 [size=\"15368192\", alpha=\"0.01\", expect_size=\"7684096\"] \n  5 -> 6 [size =\"7684096\"]\n  6 [size=\"33214464\", alpha=\"0.12\", expect_size=\"16607232\"] \n  6 -> 7 [size =\"16607232\"]\n  7 [size=\"61227008\", alpha=\"0.17\", expect_size=\"30613504\"] \n  7 -> 8 [size =\"30613504\"]\n  8 [size=\"90152960\", alpha=\"0.00\", expect_size=\"45076480\"] \n  8 -> 9 [size =\"45076480\"]\n  9 [size=\"40165376\", alpha=\"0.16\", expect_size=\"20082688\"] \n  9 -> 10 [size =\"20082688\"]\n  10 [size=\"36253696\", alpha=\"0.05\", expect_size=\"18126848\"] \n  10 -> 11 [size =\"18126848\"]\n  11 [size=\"80461824\", alpha=\"0.16\", expect_size=\"40230912\"] \n  11 -> 12 [size =\"40230912\"]\n  12 [size=\"17623040\", alpha=\"0.08\", expect_size=\"8811520\"] \n  12 -> 13 [size =\"8811520\"]\n  13 [size=\"39890944\", alpha=\"0.06\", expect_size=\"19945472\"] \n  13 -> 14 [size =\"19945472\"]\n  14 [size=\"18462720\", alpha=\"0.07\", expect_size=\"9231360\"] \n  14 -> 15 [size =\"9231360\"]\n  15 [size=\"44283904\", alpha=\"0.19\", expect_size=\"22141952\"] \n  15 -> 16 [size =\"22141952\"]\n  16 [size=\"50878464\", alpha=\"0.16\", expect_size=\"25439232\"] \n  16 -> 17 [size =\"25439232\"]\n  17 [size=\"14688256\", alpha=\"0.01\", expect_size=\"7344128\"] \n  17 -> 18 [size =\"7344128\"]\n  18 [size=\"96370688\", alpha=\"0.03\", expect_size=\"48185344\"] \n  18 -> 19 [size =\"48185344\"]\n  19 [size=\"97839104\", alpha=\"0.08\", expect_size=\"48919552\"] \n  19 -> 20 [size =\"48919552\"]\n  20 [size=\"78483456\", alpha=\"0.14\", expect_size=\"39241728\"] \n  20 -> 21 [size =\"39241728\"]\n  21 [size=\"101511168\", alpha=\"0.07\", expect_size=\"50755584\"] \n  21 -> 22 [size =\"50755584\"]\n  22 [size=\"81332224\", alpha=\"0.02\", expect_size=\"40666112\"] \n  22 -> 23 [size =\"40666112\"]\n  23 [size=\"24774656\", alpha=\"0.04\", expect_size=\"12387328\"] \n  23 -> 24 [size =\"12387328\"]\n  24 [size=\"51140608\", alpha=\"0.14\", expect_size=\"25570304\"] \n  24 -> 25 [size =\"25570304\"]\n  25 [size=\"84056064\", alpha=\"0.05\", expect_size=\"42028032\"] \n  25 -> 26 [size =\"42028032\"]\n  26 [size=\"80506880\", alpha=\"0.01\", expect_size=\"40253440\"] \n  26 -> 27 [size =\"40253440\"]\n  27 [size=\"63129600\", alpha=\"0.08\", expect_size=\"31564800\"] \n  27 -> 28 [size =\"31564800\"]\n  28 [size=\"69986304\", alpha=\"0.12\", expect_size=\"34993152\"] \n  28 -> 29 [size =\"34993152\"]\n  29 [size=\"85667840\", alpha=\"0.02\", expect_size=\"42833920\"] \n  29 -> 30 [size =\"42833920\"]\n  30 [size=\"29745152\", alpha=\"0.17\", expect_size=\"14872576\"] \n  30 -> 31 [size =\"14872576\"]\n  31 [size=\"96751616\", alpha=\"0.07\", expect_size=\"48375808\"] \n  31 -> 32 [size =\"48375808\"]\n  32 [size=\"36392960\", alpha=\"0.19\", expect_size=\"18196480\"] \n  32 -> 33 [size =\"18196480\"]\n  33 [size=\"46352384\", alpha=\"0.17\", expect_size=\"23176192\"] \n  33 -> 34 [size =\"23176192\"]\n  34 [size=\"64919552\", alpha=\"0.16\", expect_size=\"32459776\"] \n  34 -> 35 [size =\"32459776\"]\n  35 [size=\"36972544\", alpha=\"0.03\", expect_size=\"18486272\"] \n  35 -> 36 [size =\"18486272\"]\n  36 [size=\"61765632\", alpha=\"0.19\", expect_size=\"30882816\"] \n  36 -> 37 [size =\"30882816\"]\n  37 [size=\"67653632\", alpha=\"0.15\", expect_size=\"33826816\"] \n  37 -> 38 [size =\"33826816\"]\n  38 [size=\"11010048\", alpha=\"0.09\", expect_size=\"5505024\"] \n  38 -> 39 [size =\"5505024\"]\n  39 [size=\"65871872\", alpha=\"0.02\", expect_size=\"32935936\"] \n  39 -> 40 [size =\"32935936\"]\n  40 [size=\"73179136\", alpha=\"0.10\", expect_size=\"36589568\"] \n  40 -> 41 [size =\"36589568\"]\n  41 [size=\"58701824\", alpha=\"0.16\", expect_size=\"29350912\"] \n  41 -> 42 [size =\"29350912\"]\n  42 [size=\"92416000\", alpha=\"0.18\", expect_size=\"46208000\"] \n  42 -> 43 [size =\"46208000\"]\n  43 [size=\"87085056\", alpha=\"0.03\", expect_size=\"43542528\"] \n  43 -> 44 [size =\"43542528\"]\n  44 [size=\"72120320\", alpha=\"0.16\", expect_size=\"36060160\"] \n  44 -> 45 [size =\"36060160\"]\n  45 [size=\"55496704\", alpha=\"0.05\", expect_size=\"27748352\"] \n  45 -> 46 [size =\"27748352\"]\n  46 [size=\"71014400\", alpha=\"0.09\", expect_size=\"35507200\"] \n  46 -> 47 [size =\"35507200\"]\n  47 [size=\"64692224\", alpha=\"0.04\", expect_size=\"32346112\"] \n  47 -> 48 [size =\"32346112\"]\n  48 [size=\"40732672\", alpha=\"0.11\", expect_size=\"20366336\"] \n  48 -> 49 [size =\"20366336\"]\n  49 [size=\"85024768\", alpha=\"0.15\", expect_size=\"42512384\"] \n  49 -> 50 [size =\"42512384\"]\n  50 [size=\"96178176\", alpha=\"0.02\", expect_size=\"48089088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.393.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96453973\", alpha=\"0.03\", expect_size=\"28936192\"] \n  1 -> 2 [size =\"28936192\"]\n  2 [size=\"75782827\", alpha=\"0.15\", expect_size=\"22734848\"] \n  2 -> 3 [size =\"22734848\"]\n  3 [size=\"29405867\", alpha=\"0.08\", expect_size=\"8821760\"] \n  3 -> 4 [size =\"8821760\"]\n  4 [size=\"86999040\", alpha=\"0.15\", expect_size=\"26099712\"] \n  4 -> 5 [size =\"26099712\"]\n  5 [size=\"167383040\", alpha=\"0.17\", expect_size=\"50214912\"] \n  5 -> 6 [size =\"50214912\"]\n  6 [size=\"171939840\", alpha=\"0.17\", expect_size=\"51581952\"] \n  6 -> 7 [size =\"51581952\"]\n  7 [size=\"128696320\", alpha=\"0.10\", expect_size=\"38608896\"] \n  7 -> 8 [size =\"38608896\"]\n  8 [size=\"49291947\", alpha=\"0.10\", expect_size=\"14787584\"] \n  8 -> 9 [size =\"14787584\"]\n  9 [size=\"107591680\", alpha=\"0.03\", expect_size=\"32277504\"] \n  9 -> 10 [size =\"32277504\"]\n  10 [size=\"67836587\", alpha=\"0.05\", expect_size=\"20350976\"] \n  10 -> 11 [size =\"20350976\"]\n  11 [size=\"122624000\", alpha=\"0.14\", expect_size=\"36787200\"] \n  11 -> 12 [size =\"36787200\"]\n  12 [size=\"144769707\", alpha=\"0.06\", expect_size=\"43430912\"] \n  12 -> 13 [size =\"43430912\"]\n  13 [size=\"105209173\", alpha=\"0.07\", expect_size=\"31562752\"] \n  13 -> 14 [size =\"31562752\"]\n  14 [size=\"166946133\", alpha=\"0.01\", expect_size=\"50083840\"] \n  14 -> 15 [size =\"50083840\"]\n  15 [size=\"130150400\", alpha=\"0.00\", expect_size=\"39045120\"] \n  15 -> 16 [size =\"39045120\"]\n  16 [size=\"106243413\", alpha=\"0.15\", expect_size=\"31873024\"] \n  16 -> 17 [size =\"31873024\"]\n  17 [size=\"82445653\", alpha=\"0.05\", expect_size=\"24733696\"] \n  17 -> 18 [size =\"24733696\"]\n  18 [size=\"157187413\", alpha=\"0.01\", expect_size=\"47156224\"] \n  18 -> 19 [size =\"47156224\"]\n  19 [size=\"78028800\", alpha=\"0.02\", expect_size=\"23408640\"] \n  19 -> 20 [size =\"23408640\"]\n  20 [size=\"98829653\", alpha=\"0.17\", expect_size=\"29648896\"] \n  20 -> 21 [size =\"29648896\"]\n  21 [size=\"136915627\", alpha=\"0.03\", expect_size=\"41074688\"] \n  21 -> 22 [size =\"41074688\"]\n  22 [size=\"85964800\", alpha=\"0.15\", expect_size=\"25789440\"] \n  22 -> 23 [size =\"25789440\"]\n  23 [size=\"135055360\", alpha=\"0.10\", expect_size=\"40516608\"] \n  23 -> 24 [size =\"40516608\"]\n  24 [size=\"34570240\", alpha=\"0.13\", expect_size=\"10371072\"] \n  24 -> 25 [size =\"10371072\"]\n  25 [size=\"44830720\", alpha=\"0.15\", expect_size=\"13449216\"] \n  25 -> 26 [size =\"13449216\"]\n  26 [size=\"48175787\", alpha=\"0.17\", expect_size=\"14452736\"] \n  26 -> 27 [size =\"14452736\"]\n  27 [size=\"163273387\", alpha=\"0.13\", expect_size=\"48982016\"] \n  27 -> 28 [size =\"48982016\"]\n  28 [size=\"45462187\", alpha=\"0.13\", expect_size=\"13638656\"] \n  28 -> 29 [size =\"13638656\"]\n  29 [size=\"52886187\", alpha=\"0.04\", expect_size=\"15865856\"] \n  29 -> 30 [size =\"15865856\"]\n  30 [size=\"67795627\", alpha=\"0.02\", expect_size=\"20338688\"] \n  30 -> 31 [size =\"20338688\"]\n  31 [size=\"45991253\", alpha=\"0.14\", expect_size=\"13797376\"] \n  31 -> 32 [size =\"13797376\"]\n  32 [size=\"66454187\", alpha=\"0.01\", expect_size=\"19936256\"] \n  32 -> 33 [size =\"19936256\"]\n  33 [size=\"30208000\", alpha=\"0.20\", expect_size=\"9062400\"] \n  33 -> 34 [size =\"9062400\"]\n  34 [size=\"106468693\", alpha=\"0.17\", expect_size=\"31940608\"] \n  34 -> 35 [size =\"31940608\"]\n  35 [size=\"50186240\", alpha=\"0.09\", expect_size=\"15055872\"] \n  35 -> 36 [size =\"15055872\"]\n  36 [size=\"168553813\", alpha=\"0.12\", expect_size=\"50566144\"] \n  36 -> 37 [size =\"50566144\"]\n  37 [size=\"144179200\", alpha=\"0.04\", expect_size=\"43253760\"] \n  37 -> 38 [size =\"43253760\"]\n  38 [size=\"88285867\", alpha=\"0.13\", expect_size=\"26485760\"] \n  38 -> 39 [size =\"26485760\"]\n  39 [size=\"32689493\", alpha=\"0.10\", expect_size=\"9806848\"] \n  39 -> 40 [size =\"9806848\"]\n  40 [size=\"67505493\", alpha=\"0.18\", expect_size=\"20251648\"] \n  40 -> 41 [size =\"20251648\"]\n  41 [size=\"85811200\", alpha=\"0.20\", expect_size=\"25743360\"] \n  41 -> 42 [size =\"25743360\"]\n  42 [size=\"35474773\", alpha=\"0.11\", expect_size=\"10642432\"] \n  42 -> 43 [size =\"10642432\"]\n  43 [size=\"43789653\", alpha=\"0.17\", expect_size=\"13136896\"] \n  43 -> 44 [size =\"13136896\"]\n  44 [size=\"41202347\", alpha=\"0.06\", expect_size=\"12360704\"] \n  44 -> 45 [size =\"12360704\"]\n  45 [size=\"19896320\", alpha=\"0.17\", expect_size=\"5968896\"] \n  45 -> 46 [size =\"5968896\"]\n  46 [size=\"92549120\", alpha=\"0.13\", expect_size=\"27764736\"] \n  46 -> 47 [size =\"27764736\"]\n  47 [size=\"33358507\", alpha=\"0.07\", expect_size=\"10007552\"] \n  47 -> 48 [size =\"10007552\"]\n  48 [size=\"64576853\", alpha=\"0.05\", expect_size=\"19373056\"] \n  48 -> 49 [size =\"19373056\"]\n  49 [size=\"168639147\", alpha=\"0.08\", expect_size=\"50591744\"] \n  49 -> 50 [size =\"50591744\"]\n  50 [size=\"91518293\", alpha=\"0.16\", expect_size=\"27455488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.394.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13965312\", alpha=\"0.14\", expect_size=\"6982656\"] \n  1 -> 14 [size =\"6982656\"]\n  1 -> 24 [size =\"6982656\"]\n  1 -> 25 [size =\"6982656\"]\n  2 [size=\"21313536\", alpha=\"0.17\", expect_size=\"10656768\"] \n  2 -> 16 [size =\"10656768\"]\n  2 -> 17 [size =\"10656768\"]\n  2 -> 22 [size =\"10656768\"]\n  2 -> 25 [size =\"10656768\"]\n  2 -> 27 [size =\"10656768\"]\n  2 -> 28 [size =\"10656768\"]\n  3 [size=\"60413952\", alpha=\"0.04\", expect_size=\"30206976\"] \n  3 -> 15 [size =\"30206976\"]\n  3 -> 19 [size =\"30206976\"]\n  3 -> 20 [size =\"30206976\"]\n  3 -> 22 [size =\"30206976\"]\n  3 -> 24 [size =\"30206976\"]\n  3 -> 27 [size =\"30206976\"]\n  3 -> 28 [size =\"30206976\"]\n  4 [size=\"88827904\", alpha=\"0.02\", expect_size=\"44413952\"] \n  4 -> 15 [size =\"44413952\"]\n  4 -> 16 [size =\"44413952\"]\n  4 -> 22 [size =\"44413952\"]\n  4 -> 24 [size =\"44413952\"]\n  4 -> 25 [size =\"44413952\"]\n  4 -> 28 [size =\"44413952\"]\n  4 -> 29 [size =\"44413952\"]\n  5 [size=\"32284672\", alpha=\"0.19\", expect_size=\"16142336\"] \n  5 -> 14 [size =\"16142336\"]\n  5 -> 17 [size =\"16142336\"]\n  5 -> 19 [size =\"16142336\"]\n  5 -> 24 [size =\"16142336\"]\n  5 -> 25 [size =\"16142336\"]\n  5 -> 26 [size =\"16142336\"]\n  5 -> 27 [size =\"16142336\"]\n  5 -> 28 [size =\"16142336\"]\n  5 -> 29 [size =\"16142336\"]\n  6 [size=\"48861184\", alpha=\"0.08\", expect_size=\"24430592\"] \n  6 -> 14 [size =\"24430592\"]\n  6 -> 15 [size =\"24430592\"]\n  6 -> 16 [size =\"24430592\"]\n  6 -> 17 [size =\"24430592\"]\n  6 -> 18 [size =\"24430592\"]\n  6 -> 19 [size =\"24430592\"]\n  6 -> 21 [size =\"24430592\"]\n  6 -> 23 [size =\"24430592\"]\n  6 -> 24 [size =\"24430592\"]\n  6 -> 26 [size =\"24430592\"]\n  6 -> 27 [size =\"24430592\"]\n  7 [size=\"83822592\", alpha=\"0.04\", expect_size=\"41911296\"] \n  7 -> 15 [size =\"41911296\"]\n  7 -> 17 [size =\"41911296\"]\n  7 -> 21 [size =\"41911296\"]\n  7 -> 23 [size =\"41911296\"]\n  7 -> 26 [size =\"41911296\"]\n  8 [size=\"14909440\", alpha=\"0.20\", expect_size=\"7454720\"] \n  8 -> 16 [size =\"7454720\"]\n  8 -> 17 [size =\"7454720\"]\n  8 -> 21 [size =\"7454720\"]\n  8 -> 26 [size =\"7454720\"]\n  9 [size=\"104644608\", alpha=\"0.03\", expect_size=\"52322304\"] \n  9 -> 16 [size =\"52322304\"]\n  9 -> 17 [size =\"52322304\"]\n  9 -> 19 [size =\"52322304\"]\n  9 -> 25 [size =\"52322304\"]\n  9 -> 26 [size =\"52322304\"]\n  9 -> 28 [size =\"52322304\"]\n  9 -> 29 [size =\"52322304\"]\n  10 [size=\"24430592\", alpha=\"0.10\", expect_size=\"12215296\"] \n  10 -> 15 [size =\"12215296\"]\n  10 -> 17 [size =\"12215296\"]\n  10 -> 20 [size =\"12215296\"]\n  10 -> 28 [size =\"12215296\"]\n  10 -> 29 [size =\"12215296\"]\n  11 [size=\"95627264\", alpha=\"0.09\", expect_size=\"47813632\"] \n  11 -> 16 [size =\"47813632\"]\n  11 -> 17 [size =\"47813632\"]\n  11 -> 21 [size =\"47813632\"]\n  11 -> 24 [size =\"47813632\"]\n  11 -> 25 [size =\"47813632\"]\n  11 -> 27 [size =\"47813632\"]\n  11 -> 29 [size =\"47813632\"]\n  12 [size=\"69025792\", alpha=\"0.04\", expect_size=\"34512896\"] \n  12 -> 16 [size =\"34512896\"]\n  12 -> 17 [size =\"34512896\"]\n  12 -> 20 [size =\"34512896\"]\n  12 -> 21 [size =\"34512896\"]\n  12 -> 23 [size =\"34512896\"]\n  12 -> 25 [size =\"34512896\"]\n  12 -> 26 [size =\"34512896\"]\n  12 -> 29 [size =\"34512896\"]\n  13 [size=\"55496704\", alpha=\"0.05\", expect_size=\"27748352\"] \n  13 -> 16 [size =\"27748352\"]\n  13 -> 19 [size =\"27748352\"]\n  13 -> 25 [size =\"27748352\"]\n  13 -> 28 [size =\"27748352\"]\n  14 [size=\"72232960\", alpha=\"0.06\", expect_size=\"36116480\"] \n  14 -> 31 [size =\"36116480\"]\n  14 -> 33 [size =\"36116480\"]\n  14 -> 34 [size =\"36116480\"]\n  14 -> 36 [size =\"36116480\"]\n  14 -> 38 [size =\"36116480\"]\n  14 -> 39 [size =\"36116480\"]\n  14 -> 40 [size =\"36116480\"]\n  14 -> 43 [size =\"36116480\"]\n  15 [size=\"80277504\", alpha=\"0.02\", expect_size=\"40138752\"] \n  15 -> 31 [size =\"40138752\"]\n  15 -> 33 [size =\"40138752\"]\n  15 -> 38 [size =\"40138752\"]\n  15 -> 40 [size =\"40138752\"]\n  16 [size=\"74942464\", alpha=\"0.08\", expect_size=\"37471232\"] \n  16 -> 30 [size =\"37471232\"]\n  16 -> 31 [size =\"37471232\"]\n  16 -> 33 [size =\"37471232\"]\n  16 -> 35 [size =\"37471232\"]\n  16 -> 37 [size =\"37471232\"]\n  16 -> 38 [size =\"37471232\"]\n  16 -> 40 [size =\"37471232\"]\n  16 -> 43 [size =\"37471232\"]\n  17 [size=\"19275776\", alpha=\"0.04\", expect_size=\"9637888\"] \n  17 -> 31 [size =\"9637888\"]\n  17 -> 31 [size =\"9637888\"]\n  17 -> 32 [size =\"9637888\"]\n  17 -> 33 [size =\"9637888\"]\n  17 -> 35 [size =\"9637888\"]\n  17 -> 36 [size =\"9637888\"]\n  17 -> 38 [size =\"9637888\"]\n  17 -> 39 [size =\"9637888\"]\n  17 -> 40 [size =\"9637888\"]\n  18 [size=\"38221824\", alpha=\"0.11\", expect_size=\"19110912\"] \n  18 -> 31 [size =\"19110912\"]\n  18 -> 32 [size =\"19110912\"]\n  18 -> 35 [size =\"19110912\"]\n  18 -> 36 [size =\"19110912\"]\n  18 -> 37 [size =\"19110912\"]\n  18 -> 38 [size =\"19110912\"]\n  18 -> 39 [size =\"19110912\"]\n  18 -> 39 [size =\"19110912\"]\n  18 -> 41 [size =\"19110912\"]\n  19 [size=\"37828608\", alpha=\"0.18\", expect_size=\"18914304\"] \n  19 -> 33 [size =\"18914304\"]\n  19 -> 35 [size =\"18914304\"]\n  19 -> 35 [size =\"18914304\"]\n  19 -> 36 [size =\"18914304\"]\n  19 -> 38 [size =\"18914304\"]\n  19 -> 39 [size =\"18914304\"]\n  19 -> 39 [size =\"18914304\"]\n  20 [size=\"53469184\", alpha=\"0.04\", expect_size=\"26734592\"] \n  20 -> 31 [size =\"26734592\"]\n  20 -> 32 [size =\"26734592\"]\n  20 -> 33 [size =\"26734592\"]\n  20 -> 35 [size =\"26734592\"]\n  20 -> 37 [size =\"26734592\"]\n  20 -> 38 [size =\"26734592\"]\n  20 -> 39 [size =\"26734592\"]\n  20 -> 41 [size =\"26734592\"]\n  20 -> 42 [size =\"26734592\"]\n  21 [size=\"99581952\", alpha=\"0.12\", expect_size=\"49790976\"] \n  21 -> 31 [size =\"49790976\"]\n  21 -> 33 [size =\"49790976\"]\n  21 -> 38 [size =\"49790976\"]\n  21 -> 40 [size =\"49790976\"]\n  21 -> 41 [size =\"49790976\"]\n  21 -> 43 [size =\"49790976\"]\n  22 [size=\"47523840\", alpha=\"0.01\", expect_size=\"23761920\"] \n  22 -> 31 [size =\"23761920\"]\n  22 -> 32 [size =\"23761920\"]\n  22 -> 36 [size =\"23761920\"]\n  22 -> 39 [size =\"23761920\"]\n  22 -> 40 [size =\"23761920\"]\n  22 -> 41 [size =\"23761920\"]\n  22 -> 43 [size =\"23761920\"]\n  23 [size=\"67063808\", alpha=\"0.01\", expect_size=\"33531904\"] \n  23 -> 34 [size =\"33531904\"]\n  23 -> 35 [size =\"33531904\"]\n  23 -> 36 [size =\"33531904\"]\n  23 -> 38 [size =\"33531904\"]\n  23 -> 39 [size =\"33531904\"]\n  23 -> 41 [size =\"33531904\"]\n  23 -> 43 [size =\"33531904\"]\n  24 [size=\"88657920\", alpha=\"0.18\", expect_size=\"44328960\"] \n  24 -> 32 [size =\"44328960\"]\n  24 -> 34 [size =\"44328960\"]\n  24 -> 36 [size =\"44328960\"]\n  24 -> 39 [size =\"44328960\"]\n  24 -> 41 [size =\"44328960\"]\n  24 -> 41 [size =\"44328960\"]\n  25 [size=\"20371456\", alpha=\"0.19\", expect_size=\"10185728\"] \n  25 -> 32 [size =\"10185728\"]\n  25 -> 34 [size =\"10185728\"]\n  25 -> 35 [size =\"10185728\"]\n  25 -> 36 [size =\"10185728\"]\n  25 -> 40 [size =\"10185728\"]\n  25 -> 41 [size =\"10185728\"]\n  25 -> 42 [size =\"10185728\"]\n  26 [size=\"29018112\", alpha=\"0.08\", expect_size=\"14509056\"] \n  26 -> 30 [size =\"14509056\"]\n  26 -> 32 [size =\"14509056\"]\n  26 -> 34 [size =\"14509056\"]\n  26 -> 36 [size =\"14509056\"]\n  26 -> 40 [size =\"14509056\"]\n  26 -> 41 [size =\"14509056\"]\n  27 [size=\"67868672\", alpha=\"0.13\", expect_size=\"33934336\"] \n  27 -> 31 [size =\"33934336\"]\n  27 -> 33 [size =\"33934336\"]\n  27 -> 34 [size =\"33934336\"]\n  27 -> 35 [size =\"33934336\"]\n  27 -> 36 [size =\"33934336\"]\n  27 -> 38 [size =\"33934336\"]\n  27 -> 39 [size =\"33934336\"]\n  27 -> 40 [size =\"33934336\"]\n  28 [size=\"86665216\", alpha=\"0.19\", expect_size=\"43332608\"] \n  28 -> 31 [size =\"43332608\"]\n  28 -> 32 [size =\"43332608\"]\n  28 -> 35 [size =\"43332608\"]\n  28 -> 38 [size =\"43332608\"]\n  28 -> 39 [size =\"43332608\"]\n  28 -> 40 [size =\"43332608\"]\n  29 [size=\"45690880\", alpha=\"0.05\", expect_size=\"22845440\"] \n  29 -> 31 [size =\"22845440\"]\n  29 -> 32 [size =\"22845440\"]\n  29 -> 34 [size =\"22845440\"]\n  29 -> 36 [size =\"22845440\"]\n  29 -> 40 [size =\"22845440\"]\n  29 -> 41 [size =\"22845440\"]\n  29 -> 43 [size =\"22845440\"]\n  30 [size=\"36294656\", alpha=\"0.13\", expect_size=\"18147328\"] \n  30 -> 44 [size =\"18147328\"]\n  30 -> 45 [size =\"18147328\"]\n  30 -> 46 [size =\"18147328\"]\n  30 -> 48 [size =\"18147328\"]\n  30 -> 49 [size =\"18147328\"]\n  31 [size=\"57069568\", alpha=\"0.00\", expect_size=\"28534784\"] \n  31 -> 48 [size =\"28534784\"]\n  32 [size=\"17125376\", alpha=\"0.19\", expect_size=\"8562688\"] \n  32 -> 44 [size =\"8562688\"]\n  32 -> 47 [size =\"8562688\"]\n  32 -> 48 [size =\"8562688\"]\n  32 -> 50 [size =\"8562688\"]\n  33 [size=\"21663744\", alpha=\"0.08\", expect_size=\"10831872\"] \n  33 -> 44 [size =\"10831872\"]\n  33 -> 47 [size =\"10831872\"]\n  34 [size=\"26238976\", alpha=\"0.10\", expect_size=\"13119488\"] \n  34 -> 44 [size =\"13119488\"]\n  34 -> 47 [size =\"13119488\"]\n  34 -> 48 [size =\"13119488\"]\n  35 [size=\"14823424\", alpha=\"0.07\", expect_size=\"7411712\"] \n  35 -> 49 [size =\"7411712\"]\n  36 [size=\"103589888\", alpha=\"0.17\", expect_size=\"51794944\"] \n  36 -> 45 [size =\"51794944\"]\n  36 -> 48 [size =\"51794944\"]\n  37 [size=\"47798272\", alpha=\"0.09\", expect_size=\"23899136\"] \n  37 -> 47 [size =\"23899136\"]\n  37 -> 49 [size =\"23899136\"]\n  38 [size=\"15157248\", alpha=\"0.07\", expect_size=\"7578624\"] \n  38 -> 44 [size =\"7578624\"]\n  38 -> 45 [size =\"7578624\"]\n  39 [size=\"104464384\", alpha=\"0.11\", expect_size=\"52232192\"] \n  39 -> 44 [size =\"52232192\"]\n  39 -> 48 [size =\"52232192\"]\n  40 [size=\"32387072\", alpha=\"0.04\", expect_size=\"16193536\"] \n  40 -> 44 [size =\"16193536\"]\n  40 -> 45 [size =\"16193536\"]\n  40 -> 48 [size =\"16193536\"]\n  41 [size=\"95991808\", alpha=\"0.16\", expect_size=\"47995904\"] \n  41 -> 45 [size =\"47995904\"]\n  41 -> 47 [size =\"47995904\"]\n  41 -> 48 [size =\"47995904\"]\n  41 -> 50 [size =\"47995904\"]\n  42 [size=\"97300480\", alpha=\"0.15\", expect_size=\"48650240\"] \n  42 -> 48 [size =\"48650240\"]\n  43 [size=\"94859264\", alpha=\"0.07\", expect_size=\"47429632\"] \n  43 -> 44 [size =\"47429632\"]\n  43 -> 45 [size =\"47429632\"]\n  43 -> 48 [size =\"47429632\"]\n  44 [size=\"39303168\", alpha=\"0.15\", expect_size=\"19651584\"] \n  45 [size=\"86757376\", alpha=\"0.06\", expect_size=\"43378688\"] \n  46 [size=\"23898112\", alpha=\"0.20\", expect_size=\"11949056\"] \n  47 [size=\"103927808\", alpha=\"0.06\", expect_size=\"51963904\"] \n  48 [size=\"52520960\", alpha=\"0.09\", expect_size=\"26260480\"] \n  49 [size=\"86159360\", alpha=\"0.19\", expect_size=\"43079680\"] \n  50 [size=\"43442176\", alpha=\"0.14\", expect_size=\"21721088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.395.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46131200\", alpha=\"0.11\", expect_size=\"18452480\"] \n  2 [size=\"51289600\", alpha=\"0.12\", expect_size=\"20515840\"] \n  2 -> 7 [size =\"20515840\"]\n  2 -> 9 [size =\"20515840\"]\n  2 -> 10 [size =\"20515840\"]\n  2 -> 11 [size =\"20515840\"]\n  3 [size=\"130649600\", alpha=\"0.13\", expect_size=\"52259840\"] \n  3 -> 7 [size =\"52259840\"]\n  4 [size=\"27906560\", alpha=\"0.14\", expect_size=\"11162624\"] \n  4 -> 11 [size =\"11162624\"]\n  4 -> 12 [size =\"11162624\"]\n  5 [size=\"32972800\", alpha=\"0.06\", expect_size=\"13189120\"] \n  5 -> 7 [size =\"13189120\"]\n  5 -> 9 [size =\"13189120\"]\n  5 -> 10 [size =\"13189120\"]\n  5 -> 12 [size =\"13189120\"]\n  6 [size=\"28080640\", alpha=\"0.19\", expect_size=\"11232256\"] \n  6 -> 8 [size =\"11232256\"]\n  6 -> 9 [size =\"11232256\"]\n  7 [size=\"118804480\", alpha=\"0.09\", expect_size=\"47521792\"] \n  7 -> 14 [size =\"47521792\"]\n  8 [size=\"116971520\", alpha=\"0.18\", expect_size=\"46788608\"] \n  8 -> 15 [size =\"46788608\"]\n  8 -> 18 [size =\"46788608\"]\n  9 [size=\"122388480\", alpha=\"0.05\", expect_size=\"48955392\"] \n  10 [size=\"87198720\", alpha=\"0.05\", expect_size=\"34879488\"] \n  10 -> 17 [size =\"34879488\"]\n  11 [size=\"38082560\", alpha=\"0.01\", expect_size=\"15233024\"] \n  11 -> 15 [size =\"15233024\"]\n  11 -> 16 [size =\"15233024\"]\n  11 -> 17 [size =\"15233024\"]\n  12 [size=\"105221120\", alpha=\"0.14\", expect_size=\"42088448\"] \n  12 -> 13 [size =\"42088448\"]\n  12 -> 14 [size =\"42088448\"]\n  12 -> 16 [size =\"42088448\"]\n  13 [size=\"55746560\", alpha=\"0.12\", expect_size=\"22298624\"] \n  13 -> 19 [size =\"22298624\"]\n  14 [size=\"129984000\", alpha=\"0.10\", expect_size=\"51993600\"] \n  14 -> 20 [size =\"51993600\"]\n  14 -> 23 [size =\"51993600\"]\n  15 [size=\"95144960\", alpha=\"0.08\", expect_size=\"38057984\"] \n  15 -> 20 [size =\"38057984\"]\n  15 -> 24 [size =\"38057984\"]\n  16 [size=\"127971840\", alpha=\"0.15\", expect_size=\"51188736\"] \n  16 -> 19 [size =\"51188736\"]\n  16 -> 22 [size =\"51188736\"]\n  17 [size=\"119541760\", alpha=\"0.04\", expect_size=\"47816704\"] \n  17 -> 19 [size =\"47816704\"]\n  17 -> 20 [size =\"47816704\"]\n  17 -> 21 [size =\"47816704\"]\n  18 [size=\"53854720\", alpha=\"0.19\", expect_size=\"21541888\"] \n  18 -> 19 [size =\"21541888\"]\n  18 -> 22 [size =\"21541888\"]\n  19 [size=\"39953920\", alpha=\"0.20\", expect_size=\"15981568\"] \n  19 -> 25 [size =\"15981568\"]\n  19 -> 26 [size =\"15981568\"]\n  19 -> 30 [size =\"15981568\"]\n  20 [size=\"67522560\", alpha=\"0.12\", expect_size=\"27009024\"] \n  20 -> 26 [size =\"27009024\"]\n  20 -> 28 [size =\"27009024\"]\n  21 [size=\"97354240\", alpha=\"0.10\", expect_size=\"38941696\"] \n  21 -> 28 [size =\"38941696\"]\n  22 [size=\"100661760\", alpha=\"0.15\", expect_size=\"40264704\"] \n  22 -> 25 [size =\"40264704\"]\n  22 -> 29 [size =\"40264704\"]\n  23 [size=\"66001920\", alpha=\"0.19\", expect_size=\"26400768\"] \n  23 -> 29 [size =\"26400768\"]\n  24 [size=\"16773120\", alpha=\"0.06\", expect_size=\"6709248\"] \n  24 -> 25 [size =\"6709248\"]\n  24 -> 27 [size =\"6709248\"]\n  24 -> 30 [size =\"6709248\"]\n  24 -> 31 [size =\"6709248\"]\n  25 [size=\"73886720\", alpha=\"0.16\", expect_size=\"29554688\"] \n  26 [size=\"121751040\", alpha=\"0.09\", expect_size=\"48700416\"] \n  26 -> 32 [size =\"48700416\"]\n  26 -> 33 [size =\"48700416\"]\n  26 -> 34 [size =\"48700416\"]\n  26 -> 35 [size =\"48700416\"]\n  27 [size=\"91415040\", alpha=\"0.20\", expect_size=\"36566016\"] \n  27 -> 32 [size =\"36566016\"]\n  27 -> 34 [size =\"36566016\"]\n  27 -> 37 [size =\"36566016\"]\n  27 -> 38 [size =\"36566016\"]\n  28 [size=\"115233280\", alpha=\"0.08\", expect_size=\"46093312\"] \n  28 -> 33 [size =\"46093312\"]\n  28 -> 34 [size =\"46093312\"]\n  28 -> 37 [size =\"46093312\"]\n  28 -> 38 [size =\"46093312\"]\n  29 [size=\"107015680\", alpha=\"0.15\", expect_size=\"42806272\"] \n  29 -> 32 [size =\"42806272\"]\n  29 -> 37 [size =\"42806272\"]\n  29 -> 38 [size =\"42806272\"]\n  30 [size=\"105920000\", alpha=\"0.14\", expect_size=\"42368000\"] \n  30 -> 33 [size =\"42368000\"]\n  30 -> 38 [size =\"42368000\"]\n  31 [size=\"59898880\", alpha=\"0.18\", expect_size=\"23959552\"] \n  31 -> 32 [size =\"23959552\"]\n  31 -> 34 [size =\"23959552\"]\n  31 -> 36 [size =\"23959552\"]\n  32 [size=\"119938560\", alpha=\"0.17\", expect_size=\"47975424\"] \n  32 -> 43 [size =\"47975424\"]\n  32 -> 44 [size =\"47975424\"]\n  33 [size=\"88291840\", alpha=\"0.04\", expect_size=\"35316736\"] \n  33 -> 39 [size =\"35316736\"]\n  33 -> 42 [size =\"35316736\"]\n  33 -> 43 [size =\"35316736\"]\n  33 -> 44 [size =\"35316736\"]\n  34 [size=\"82506240\", alpha=\"0.10\", expect_size=\"33002496\"] \n  34 -> 41 [size =\"33002496\"]\n  34 -> 42 [size =\"33002496\"]\n  34 -> 43 [size =\"33002496\"]\n  34 -> 44 [size =\"33002496\"]\n  35 [size=\"117378560\", alpha=\"0.10\", expect_size=\"46951424\"] \n  35 -> 39 [size =\"46951424\"]\n  36 [size=\"94814720\", alpha=\"0.10\", expect_size=\"37925888\"] \n  36 -> 40 [size =\"37925888\"]\n  36 -> 42 [size =\"37925888\"]\n  36 -> 43 [size =\"37925888\"]\n  37 [size=\"29783040\", alpha=\"0.08\", expect_size=\"11913216\"] \n  37 -> 42 [size =\"11913216\"]\n  38 [size=\"27983360\", alpha=\"0.12\", expect_size=\"11193344\"] \n  38 -> 39 [size =\"11193344\"]\n  38 -> 41 [size =\"11193344\"]\n  38 -> 44 [size =\"11193344\"]\n  39 [size=\"75317760\", alpha=\"0.02\", expect_size=\"30127104\"] \n  39 -> 45 [size =\"30127104\"]\n  39 -> 46 [size =\"30127104\"]\n  40 [size=\"45140480\", alpha=\"0.00\", expect_size=\"18056192\"] \n  40 -> 47 [size =\"18056192\"]\n  40 -> 48 [size =\"18056192\"]\n  40 -> 49 [size =\"18056192\"]\n  40 -> 50 [size =\"18056192\"]\n  41 [size=\"129510400\", alpha=\"0.13\", expect_size=\"51804160\"] \n  41 -> 47 [size =\"51804160\"]\n  41 -> 48 [size =\"51804160\"]\n  42 [size=\"117468160\", alpha=\"0.00\", expect_size=\"46987264\"] \n  43 [size=\"101132800\", alpha=\"0.17\", expect_size=\"40453120\"] \n  43 -> 48 [size =\"40453120\"]\n  44 [size=\"123146240\", alpha=\"0.14\", expect_size=\"49258496\"] \n  44 -> 45 [size =\"49258496\"]\n  44 -> 46 [size =\"49258496\"]\n  44 -> 48 [size =\"49258496\"]\n  45 [size=\"64453120\", alpha=\"0.01\", expect_size=\"25781248\"] \n  46 [size=\"125058560\", alpha=\"0.07\", expect_size=\"50023424\"] \n  47 [size=\"65935360\", alpha=\"0.06\", expect_size=\"26374144\"] \n  48 [size=\"111488000\", alpha=\"0.03\", expect_size=\"44595200\"] \n  49 [size=\"66529280\", alpha=\"0.15\", expect_size=\"26611712\"] \n  50 [size=\"75875840\", alpha=\"0.03\", expect_size=\"30350336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.396.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32406187\", alpha=\"0.12\", expect_size=\"9721856\"] \n  1 -> 15 [size =\"9721856\"]\n  1 -> 18 [size =\"9721856\"]\n  1 -> 22 [size =\"9721856\"]\n  1 -> 22 [size =\"9721856\"]\n  1 -> 27 [size =\"9721856\"]\n  1 -> 29 [size =\"9721856\"]\n  1 -> 30 [size =\"9721856\"]\n  1 -> 31 [size =\"9721856\"]\n  2 [size=\"103884800\", alpha=\"0.18\", expect_size=\"31165440\"] \n  2 -> 15 [size =\"31165440\"]\n  2 -> 17 [size =\"31165440\"]\n  2 -> 18 [size =\"31165440\"]\n  2 -> 22 [size =\"31165440\"]\n  2 -> 27 [size =\"31165440\"]\n  2 -> 29 [size =\"31165440\"]\n  3 [size=\"154545493\", alpha=\"0.09\", expect_size=\"46363648\"] \n  3 -> 18 [size =\"46363648\"]\n  3 -> 22 [size =\"46363648\"]\n  3 -> 30 [size =\"46363648\"]\n  4 [size=\"94788267\", alpha=\"0.09\", expect_size=\"28436480\"] \n  4 -> 15 [size =\"28436480\"]\n  4 -> 20 [size =\"28436480\"]\n  4 -> 22 [size =\"28436480\"]\n  4 -> 26 [size =\"28436480\"]\n  4 -> 27 [size =\"28436480\"]\n  4 -> 30 [size =\"28436480\"]\n  5 [size=\"33041067\", alpha=\"0.10\", expect_size=\"9912320\"] \n  5 -> 15 [size =\"9912320\"]\n  5 -> 17 [size =\"9912320\"]\n  5 -> 20 [size =\"9912320\"]\n  5 -> 21 [size =\"9912320\"]\n  5 -> 26 [size =\"9912320\"]\n  5 -> 30 [size =\"9912320\"]\n  6 [size=\"137038507\", alpha=\"0.14\", expect_size=\"41111552\"] \n  6 -> 17 [size =\"41111552\"]\n  6 -> 18 [size =\"41111552\"]\n  6 -> 20 [size =\"41111552\"]\n  6 -> 24 [size =\"41111552\"]\n  6 -> 26 [size =\"41111552\"]\n  6 -> 28 [size =\"41111552\"]\n  7 [size=\"105355947\", alpha=\"0.15\", expect_size=\"31606784\"] \n  7 -> 18 [size =\"31606784\"]\n  7 -> 18 [size =\"31606784\"]\n  7 -> 19 [size =\"31606784\"]\n  7 -> 20 [size =\"31606784\"]\n  7 -> 23 [size =\"31606784\"]\n  7 -> 28 [size =\"31606784\"]\n  7 -> 30 [size =\"31606784\"]\n  8 [size=\"167400107\", alpha=\"0.17\", expect_size=\"50220032\"] \n  8 -> 16 [size =\"50220032\"]\n  8 -> 17 [size =\"50220032\"]\n  8 -> 19 [size =\"50220032\"]\n  8 -> 28 [size =\"50220032\"]\n  8 -> 30 [size =\"50220032\"]\n  8 -> 32 [size =\"50220032\"]\n  9 [size=\"70676480\", alpha=\"0.12\", expect_size=\"21202944\"] \n  9 -> 15 [size =\"21202944\"]\n  9 -> 18 [size =\"21202944\"]\n  9 -> 19 [size =\"21202944\"]\n  9 -> 21 [size =\"21202944\"]\n  9 -> 25 [size =\"21202944\"]\n  9 -> 31 [size =\"21202944\"]\n  10 [size=\"25825280\", alpha=\"0.11\", expect_size=\"7747584\"] \n  10 -> 16 [size =\"7747584\"]\n  10 -> 18 [size =\"7747584\"]\n  10 -> 19 [size =\"7747584\"]\n  10 -> 25 [size =\"7747584\"]\n  10 -> 29 [size =\"7747584\"]\n  10 -> 31 [size =\"7747584\"]\n  11 [size=\"18367147\", alpha=\"0.05\", expect_size=\"5510144\"] \n  11 -> 15 [size =\"5510144\"]\n  11 -> 16 [size =\"5510144\"]\n  11 -> 19 [size =\"5510144\"]\n  11 -> 22 [size =\"5510144\"]\n  11 -> 27 [size =\"5510144\"]\n  12 [size=\"113838080\", alpha=\"0.19\", expect_size=\"34151424\"] \n  12 -> 22 [size =\"34151424\"]\n  12 -> 27 [size =\"34151424\"]\n  13 [size=\"101481813\", alpha=\"0.11\", expect_size=\"30444544\"] \n  13 -> 15 [size =\"30444544\"]\n  13 -> 20 [size =\"30444544\"]\n  13 -> 24 [size =\"30444544\"]\n  13 -> 27 [size =\"30444544\"]\n  14 [size=\"173943467\", alpha=\"0.00\", expect_size=\"52183040\"] \n  14 -> 18 [size =\"52183040\"]\n  14 -> 19 [size =\"52183040\"]\n  14 -> 20 [size =\"52183040\"]\n  14 -> 22 [size =\"52183040\"]\n  14 -> 26 [size =\"52183040\"]\n  14 -> 27 [size =\"52183040\"]\n  14 -> 29 [size =\"52183040\"]\n  14 -> 30 [size =\"52183040\"]\n  14 -> 31 [size =\"52183040\"]\n  15 [size=\"86220800\", alpha=\"0.18\", expect_size=\"25866240\"] \n  15 -> 33 [size =\"25866240\"]\n  15 -> 34 [size =\"25866240\"]\n  15 -> 35 [size =\"25866240\"]\n  15 -> 40 [size =\"25866240\"]\n  15 -> 43 [size =\"25866240\"]\n  15 -> 46 [size =\"25866240\"]\n  15 -> 49 [size =\"25866240\"]\n  16 [size=\"161870507\", alpha=\"0.05\", expect_size=\"48561152\"] \n  16 -> 34 [size =\"48561152\"]\n  16 -> 34 [size =\"48561152\"]\n  16 -> 36 [size =\"48561152\"]\n  16 -> 37 [size =\"48561152\"]\n  16 -> 38 [size =\"48561152\"]\n  16 -> 42 [size =\"48561152\"]\n  16 -> 44 [size =\"48561152\"]\n  16 -> 46 [size =\"48561152\"]\n  16 -> 50 [size =\"48561152\"]\n  17 [size=\"111827627\", alpha=\"0.19\", expect_size=\"33548288\"] \n  17 -> 34 [size =\"33548288\"]\n  17 -> 38 [size =\"33548288\"]\n  17 -> 40 [size =\"33548288\"]\n  17 -> 42 [size =\"33548288\"]\n  17 -> 44 [size =\"33548288\"]\n  17 -> 45 [size =\"33548288\"]\n  18 [size=\"69864107\", alpha=\"0.15\", expect_size=\"20959232\"] \n  18 -> 34 [size =\"20959232\"]\n  18 -> 38 [size =\"20959232\"]\n  18 -> 39 [size =\"20959232\"]\n  18 -> 44 [size =\"20959232\"]\n  18 -> 45 [size =\"20959232\"]\n  18 -> 49 [size =\"20959232\"]\n  19 [size=\"50145280\", alpha=\"0.17\", expect_size=\"15043584\"] \n  19 -> 34 [size =\"15043584\"]\n  19 -> 37 [size =\"15043584\"]\n  19 -> 38 [size =\"15043584\"]\n  19 -> 43 [size =\"15043584\"]\n  19 -> 48 [size =\"15043584\"]\n  19 -> 49 [size =\"15043584\"]\n  20 [size=\"142912853\", alpha=\"0.09\", expect_size=\"42873856\"] \n  20 -> 39 [size =\"42873856\"]\n  20 -> 45 [size =\"42873856\"]\n  20 -> 48 [size =\"42873856\"]\n  21 [size=\"68969813\", alpha=\"0.02\", expect_size=\"20690944\"] \n  21 -> 35 [size =\"20690944\"]\n  21 -> 38 [size =\"20690944\"]\n  21 -> 42 [size =\"20690944\"]\n  22 [size=\"111895893\", alpha=\"0.06\", expect_size=\"33568768\"] \n  22 -> 35 [size =\"33568768\"]\n  22 -> 38 [size =\"33568768\"]\n  22 -> 39 [size =\"33568768\"]\n  22 -> 44 [size =\"33568768\"]\n  22 -> 47 [size =\"33568768\"]\n  22 -> 50 [size =\"33568768\"]\n  23 [size=\"100174507\", alpha=\"0.07\", expect_size=\"30052352\"] \n  23 -> 39 [size =\"30052352\"]\n  23 -> 44 [size =\"30052352\"]\n  23 -> 49 [size =\"30052352\"]\n  24 [size=\"31829333\", alpha=\"0.18\", expect_size=\"9548800\"] \n  24 -> 37 [size =\"9548800\"]\n  24 -> 39 [size =\"9548800\"]\n  24 -> 42 [size =\"9548800\"]\n  25 [size=\"34020693\", alpha=\"0.11\", expect_size=\"10206208\"] \n  25 -> 35 [size =\"10206208\"]\n  25 -> 42 [size =\"10206208\"]\n  25 -> 43 [size =\"10206208\"]\n  25 -> 46 [size =\"10206208\"]\n  26 [size=\"21609813\", alpha=\"0.20\", expect_size=\"6482944\"] \n  26 -> 34 [size =\"6482944\"]\n  26 -> 36 [size =\"6482944\"]\n  26 -> 37 [size =\"6482944\"]\n  26 -> 38 [size =\"6482944\"]\n  26 -> 42 [size =\"6482944\"]\n  26 -> 49 [size =\"6482944\"]\n  27 [size=\"63539200\", alpha=\"0.19\", expect_size=\"19061760\"] \n  27 -> 35 [size =\"19061760\"]\n  27 -> 36 [size =\"19061760\"]\n  27 -> 37 [size =\"19061760\"]\n  27 -> 38 [size =\"19061760\"]\n  27 -> 39 [size =\"19061760\"]\n  27 -> 43 [size =\"19061760\"]\n  27 -> 44 [size =\"19061760\"]\n  28 [size=\"59467093\", alpha=\"0.18\", expect_size=\"17840128\"] \n  28 -> 36 [size =\"17840128\"]\n  28 -> 37 [size =\"17840128\"]\n  28 -> 40 [size =\"17840128\"]\n  28 -> 45 [size =\"17840128\"]\n  29 [size=\"23162880\", alpha=\"0.03\", expect_size=\"6948864\"] \n  29 -> 34 [size =\"6948864\"]\n  29 -> 43 [size =\"6948864\"]\n  29 -> 44 [size =\"6948864\"]\n  29 -> 48 [size =\"6948864\"]\n  30 [size=\"160556373\", alpha=\"0.10\", expect_size=\"48166912\"] \n  30 -> 38 [size =\"48166912\"]\n  30 -> 49 [size =\"48166912\"]\n  31 [size=\"70560427\", alpha=\"0.17\", expect_size=\"21168128\"] \n  31 -> 34 [size =\"21168128\"]\n  31 -> 35 [size =\"21168128\"]\n  31 -> 36 [size =\"21168128\"]\n  31 -> 48 [size =\"21168128\"]\n  32 [size=\"82677760\", alpha=\"0.15\", expect_size=\"24803328\"] \n  32 -> 34 [size =\"24803328\"]\n  32 -> 38 [size =\"24803328\"]\n  32 -> 39 [size =\"24803328\"]\n  32 -> 40 [size =\"24803328\"]\n  32 -> 41 [size =\"24803328\"]\n  32 -> 44 [size =\"24803328\"]\n  33 [size=\"126037333\", alpha=\"0.05\", expect_size=\"37811200\"] \n  34 [size=\"23132160\", alpha=\"0.14\", expect_size=\"6939648\"] \n  35 [size=\"165857280\", alpha=\"0.12\", expect_size=\"49757184\"] \n  36 [size=\"97911467\", alpha=\"0.09\", expect_size=\"29373440\"] \n  37 [size=\"96150187\", alpha=\"0.18\", expect_size=\"28845056\"] \n  38 [size=\"91166720\", alpha=\"0.13\", expect_size=\"27350016\"] \n  39 [size=\"75601920\", alpha=\"0.12\", expect_size=\"22680576\"] \n  40 [size=\"102652587\", alpha=\"0.07\", expect_size=\"30795776\"] \n  41 [size=\"23388160\", alpha=\"0.09\", expect_size=\"7016448\"] \n  42 [size=\"153272320\", alpha=\"0.03\", expect_size=\"45981696\"] \n  43 [size=\"116814507\", alpha=\"0.07\", expect_size=\"35044352\"] \n  44 [size=\"155299840\", alpha=\"0.14\", expect_size=\"46589952\"] \n  45 [size=\"110632960\", alpha=\"0.02\", expect_size=\"33189888\"] \n  46 [size=\"51554987\", alpha=\"0.11\", expect_size=\"15466496\"] \n  47 [size=\"122463573\", alpha=\"0.05\", expect_size=\"36739072\"] \n  48 [size=\"103137280\", alpha=\"0.05\", expect_size=\"30941184\"] \n  49 [size=\"45967360\", alpha=\"0.06\", expect_size=\"13790208\"] \n  50 [size=\"140909227\", alpha=\"0.05\", expect_size=\"42272768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.397.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154518187\", alpha=\"0.04\", expect_size=\"46355456\"] \n  1 -> 44 [size =\"46355456\"]\n  1 -> 45 [size =\"46355456\"]\n  1 -> 46 [size =\"46355456\"]\n  2 [size=\"75776000\", alpha=\"0.10\", expect_size=\"22732800\"] \n  2 -> 44 [size =\"22732800\"]\n  2 -> 45 [size =\"22732800\"]\n  2 -> 46 [size =\"22732800\"]\n  2 -> 48 [size =\"22732800\"]\n  3 [size=\"74407253\", alpha=\"0.14\", expect_size=\"22322176\"] \n  3 -> 44 [size =\"22322176\"]\n  3 -> 46 [size =\"22322176\"]\n  3 -> 47 [size =\"22322176\"]\n  4 [size=\"57094827\", alpha=\"0.07\", expect_size=\"17128448\"] \n  4 -> 45 [size =\"17128448\"]\n  4 -> 46 [size =\"17128448\"]\n  4 -> 47 [size =\"17128448\"]\n  5 [size=\"75745280\", alpha=\"0.07\", expect_size=\"22723584\"] \n  5 -> 45 [size =\"22723584\"]\n  5 -> 47 [size =\"22723584\"]\n  6 [size=\"31580160\", alpha=\"0.13\", expect_size=\"9474048\"] \n  6 -> 44 [size =\"9474048\"]\n  6 -> 45 [size =\"9474048\"]\n  6 -> 50 [size =\"9474048\"]\n  7 [size=\"57483947\", alpha=\"0.06\", expect_size=\"17245184\"] \n  7 -> 50 [size =\"17245184\"]\n  8 [size=\"126743893\", alpha=\"0.02\", expect_size=\"38023168\"] \n  8 -> 45 [size =\"38023168\"]\n  8 -> 46 [size =\"38023168\"]\n  8 -> 47 [size =\"38023168\"]\n  8 -> 49 [size =\"38023168\"]\n  8 -> 50 [size =\"38023168\"]\n  9 [size=\"24398507\", alpha=\"0.07\", expect_size=\"7319552\"] \n  9 -> 46 [size =\"7319552\"]\n  9 -> 49 [size =\"7319552\"]\n  9 -> 50 [size =\"7319552\"]\n  10 [size=\"110308693\", alpha=\"0.03\", expect_size=\"33092608\"] \n  10 -> 45 [size =\"33092608\"]\n  10 -> 46 [size =\"33092608\"]\n  10 -> 49 [size =\"33092608\"]\n  11 [size=\"69857280\", alpha=\"0.16\", expect_size=\"20957184\"] \n  11 -> 46 [size =\"20957184\"]\n  11 -> 47 [size =\"20957184\"]\n  11 -> 49 [size =\"20957184\"]\n  11 -> 50 [size =\"20957184\"]\n  12 [size=\"103369387\", alpha=\"0.05\", expect_size=\"31010816\"] \n  12 -> 46 [size =\"31010816\"]\n  12 -> 47 [size =\"31010816\"]\n  12 -> 48 [size =\"31010816\"]\n  12 -> 49 [size =\"31010816\"]\n  13 [size=\"26330453\", alpha=\"0.06\", expect_size=\"7899136\"] \n  13 -> 44 [size =\"7899136\"]\n  13 -> 46 [size =\"7899136\"]\n  13 -> 48 [size =\"7899136\"]\n  13 -> 49 [size =\"7899136\"]\n  14 [size=\"138420907\", alpha=\"0.20\", expect_size=\"41526272\"] \n  14 -> 49 [size =\"41526272\"]\n  15 [size=\"37614933\", alpha=\"0.05\", expect_size=\"11284480\"] \n  15 -> 44 [size =\"11284480\"]\n  15 -> 45 [size =\"11284480\"]\n  15 -> 49 [size =\"11284480\"]\n  15 -> 50 [size =\"11284480\"]\n  16 [size=\"93583360\", alpha=\"0.01\", expect_size=\"28075008\"] \n  16 -> 44 [size =\"28075008\"]\n  16 -> 45 [size =\"28075008\"]\n  16 -> 46 [size =\"28075008\"]\n  16 -> 48 [size =\"28075008\"]\n  16 -> 49 [size =\"28075008\"]\n  16 -> 50 [size =\"28075008\"]\n  17 [size=\"36232533\", alpha=\"0.11\", expect_size=\"10869760\"] \n  17 -> 44 [size =\"10869760\"]\n  17 -> 45 [size =\"10869760\"]\n  17 -> 46 [size =\"10869760\"]\n  17 -> 49 [size =\"10869760\"]\n  18 [size=\"87255040\", alpha=\"0.06\", expect_size=\"26176512\"] \n  18 -> 44 [size =\"26176512\"]\n  18 -> 45 [size =\"26176512\"]\n  18 -> 48 [size =\"26176512\"]\n  19 [size=\"106574507\", alpha=\"0.04\", expect_size=\"31972352\"] \n  19 -> 45 [size =\"31972352\"]\n  19 -> 50 [size =\"31972352\"]\n  20 [size=\"159518720\", alpha=\"0.14\", expect_size=\"47855616\"] \n  20 -> 44 [size =\"47855616\"]\n  20 -> 45 [size =\"47855616\"]\n  20 -> 50 [size =\"47855616\"]\n  21 [size=\"26098347\", alpha=\"0.01\", expect_size=\"7829504\"] \n  21 -> 46 [size =\"7829504\"]\n  21 -> 47 [size =\"7829504\"]\n  21 -> 50 [size =\"7829504\"]\n  22 [size=\"152763733\", alpha=\"0.15\", expect_size=\"45829120\"] \n  22 -> 47 [size =\"45829120\"]\n  22 -> 49 [size =\"45829120\"]\n  23 [size=\"33249280\", alpha=\"0.16\", expect_size=\"9974784\"] \n  23 -> 44 [size =\"9974784\"]\n  23 -> 49 [size =\"9974784\"]\n  24 [size=\"78192640\", alpha=\"0.03\", expect_size=\"23457792\"] \n  24 -> 47 [size =\"23457792\"]\n  24 -> 48 [size =\"23457792\"]\n  24 -> 49 [size =\"23457792\"]\n  25 [size=\"75649707\", alpha=\"0.17\", expect_size=\"22694912\"] \n  25 -> 44 [size =\"22694912\"]\n  25 -> 48 [size =\"22694912\"]\n  25 -> 49 [size =\"22694912\"]\n  26 [size=\"115783680\", alpha=\"0.13\", expect_size=\"34735104\"] \n  26 -> 49 [size =\"34735104\"]\n  27 [size=\"124549120\", alpha=\"0.13\", expect_size=\"37364736\"] \n  27 -> 45 [size =\"37364736\"]\n  27 -> 50 [size =\"37364736\"]\n  28 [size=\"52527787\", alpha=\"0.08\", expect_size=\"15758336\"] \n  28 -> 46 [size =\"15758336\"]\n  29 [size=\"103611733\", alpha=\"0.04\", expect_size=\"31083520\"] \n  29 -> 44 [size =\"31083520\"]\n  29 -> 46 [size =\"31083520\"]\n  30 [size=\"137943040\", alpha=\"0.11\", expect_size=\"41382912\"] \n  30 -> 44 [size =\"41382912\"]\n  31 [size=\"89019733\", alpha=\"0.05\", expect_size=\"26705920\"] \n  31 -> 45 [size =\"26705920\"]\n  31 -> 50 [size =\"26705920\"]\n  32 [size=\"93890560\", alpha=\"0.10\", expect_size=\"28167168\"] \n  32 -> 44 [size =\"28167168\"]\n  32 -> 45 [size =\"28167168\"]\n  32 -> 50 [size =\"28167168\"]\n  33 [size=\"53565440\", alpha=\"0.16\", expect_size=\"16069632\"] \n  33 -> 44 [size =\"16069632\"]\n  33 -> 50 [size =\"16069632\"]\n  33 -> 50 [size =\"16069632\"]\n  34 [size=\"24978773\", alpha=\"0.18\", expect_size=\"7493632\"] \n  34 -> 48 [size =\"7493632\"]\n  34 -> 49 [size =\"7493632\"]\n  35 [size=\"47752533\", alpha=\"0.02\", expect_size=\"14325760\"] \n  35 -> 44 [size =\"14325760\"]\n  35 -> 48 [size =\"14325760\"]\n  35 -> 49 [size =\"14325760\"]\n  36 [size=\"22872747\", alpha=\"0.16\", expect_size=\"6861824\"] \n  36 -> 45 [size =\"6861824\"]\n  36 -> 47 [size =\"6861824\"]\n  36 -> 48 [size =\"6861824\"]\n  36 -> 49 [size =\"6861824\"]\n  36 -> 50 [size =\"6861824\"]\n  37 [size=\"121726293\", alpha=\"0.12\", expect_size=\"36517888\"] \n  38 [size=\"69754880\", alpha=\"0.17\", expect_size=\"20926464\"] \n  38 -> 47 [size =\"20926464\"]\n  39 [size=\"133515947\", alpha=\"0.13\", expect_size=\"40054784\"] \n  39 -> 44 [size =\"40054784\"]\n  39 -> 50 [size =\"40054784\"]\n  40 [size=\"162641920\", alpha=\"0.07\", expect_size=\"48792576\"] \n  40 -> 44 [size =\"48792576\"]\n  40 -> 45 [size =\"48792576\"]\n  40 -> 49 [size =\"48792576\"]\n  40 -> 50 [size =\"48792576\"]\n  41 [size=\"92682240\", alpha=\"0.03\", expect_size=\"27804672\"] \n  41 -> 45 [size =\"27804672\"]\n  41 -> 48 [size =\"27804672\"]\n  41 -> 49 [size =\"27804672\"]\n  41 -> 50 [size =\"27804672\"]\n  42 [size=\"133311147\", alpha=\"0.15\", expect_size=\"39993344\"] \n  42 -> 45 [size =\"39993344\"]\n  42 -> 50 [size =\"39993344\"]\n  43 [size=\"55845547\", alpha=\"0.10\", expect_size=\"16753664\"] \n  43 -> 44 [size =\"16753664\"]\n  43 -> 45 [size =\"16753664\"]\n  43 -> 46 [size =\"16753664\"]\n  43 -> 49 [size =\"16753664\"]\n  44 [size=\"26432853\", alpha=\"0.13\", expect_size=\"7929856\"] \n  45 [size=\"166014293\", alpha=\"0.02\", expect_size=\"49804288\"] \n  46 [size=\"22872747\", alpha=\"0.05\", expect_size=\"6861824\"] \n  47 [size=\"144981333\", alpha=\"0.01\", expect_size=\"43494400\"] \n  48 [size=\"79233707\", alpha=\"0.01\", expect_size=\"23770112\"] \n  49 [size=\"52698453\", alpha=\"0.12\", expect_size=\"15809536\"] \n  50 [size=\"154480640\", alpha=\"0.19\", expect_size=\"46344192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.398.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82971307\", alpha=\"0.05\", expect_size=\"24891392\"] \n  1 -> 2 [size =\"24891392\"]\n  2 [size=\"42482347\", alpha=\"0.11\", expect_size=\"12744704\"] \n  2 -> 3 [size =\"12744704\"]\n  3 [size=\"136256853\", alpha=\"0.17\", expect_size=\"40877056\"] \n  3 -> 4 [size =\"40877056\"]\n  4 [size=\"63757653\", alpha=\"0.01\", expect_size=\"19127296\"] \n  4 -> 5 [size =\"19127296\"]\n  5 [size=\"75417600\", alpha=\"0.15\", expect_size=\"22625280\"] \n  5 -> 6 [size =\"22625280\"]\n  6 [size=\"133894827\", alpha=\"0.06\", expect_size=\"40168448\"] \n  6 -> 7 [size =\"40168448\"]\n  7 [size=\"60504747\", alpha=\"0.06\", expect_size=\"18151424\"] \n  7 -> 8 [size =\"18151424\"]\n  8 [size=\"21835093\", alpha=\"0.18\", expect_size=\"6550528\"] \n  8 -> 9 [size =\"6550528\"]\n  9 [size=\"141690880\", alpha=\"0.07\", expect_size=\"42507264\"] \n  9 -> 10 [size =\"42507264\"]\n  10 [size=\"56992427\", alpha=\"0.19\", expect_size=\"17097728\"] \n  10 -> 11 [size =\"17097728\"]\n  11 [size=\"82077013\", alpha=\"0.19\", expect_size=\"24623104\"] \n  11 -> 12 [size =\"24623104\"]\n  12 [size=\"124224853\", alpha=\"0.19\", expect_size=\"37267456\"] \n  12 -> 13 [size =\"37267456\"]\n  13 [size=\"49762987\", alpha=\"0.07\", expect_size=\"14928896\"] \n  13 -> 14 [size =\"14928896\"]\n  14 [size=\"23292587\", alpha=\"0.01\", expect_size=\"6987776\"] \n  14 -> 15 [size =\"6987776\"]\n  15 [size=\"32682667\", alpha=\"0.12\", expect_size=\"9804800\"] \n  15 -> 16 [size =\"9804800\"]\n  16 [size=\"153757013\", alpha=\"0.20\", expect_size=\"46127104\"] \n  16 -> 17 [size =\"46127104\"]\n  17 [size=\"43472213\", alpha=\"0.18\", expect_size=\"13041664\"] \n  17 -> 18 [size =\"13041664\"]\n  18 [size=\"92043947\", alpha=\"0.02\", expect_size=\"27613184\"] \n  18 -> 19 [size =\"27613184\"]\n  19 [size=\"76953600\", alpha=\"0.09\", expect_size=\"23086080\"] \n  19 -> 20 [size =\"23086080\"]\n  20 [size=\"134256640\", alpha=\"0.06\", expect_size=\"40276992\"] \n  20 -> 21 [size =\"40276992\"]\n  21 [size=\"127389013\", alpha=\"0.11\", expect_size=\"38216704\"] \n  21 -> 22 [size =\"38216704\"]\n  22 [size=\"121637547\", alpha=\"0.19\", expect_size=\"36491264\"] \n  22 -> 23 [size =\"36491264\"]\n  23 [size=\"110045867\", alpha=\"0.03\", expect_size=\"33013760\"] \n  23 -> 24 [size =\"33013760\"]\n  24 [size=\"169011200\", alpha=\"0.12\", expect_size=\"50703360\"] \n  24 -> 25 [size =\"50703360\"]\n  25 [size=\"22309547\", alpha=\"0.09\", expect_size=\"6692864\"] \n  25 -> 26 [size =\"6692864\"]\n  26 [size=\"113063253\", alpha=\"0.20\", expect_size=\"33918976\"] \n  26 -> 27 [size =\"33918976\"]\n  27 [size=\"111510187\", alpha=\"0.17\", expect_size=\"33453056\"] \n  27 -> 28 [size =\"33453056\"]\n  28 [size=\"97788587\", alpha=\"0.14\", expect_size=\"29336576\"] \n  28 -> 29 [size =\"29336576\"]\n  29 [size=\"110899200\", alpha=\"0.07\", expect_size=\"33269760\"] \n  29 -> 30 [size =\"33269760\"]\n  30 [size=\"27910827\", alpha=\"0.06\", expect_size=\"8373248\"] \n  30 -> 31 [size =\"8373248\"]\n  31 [size=\"76363093\", alpha=\"0.12\", expect_size=\"22908928\"] \n  31 -> 32 [size =\"22908928\"]\n  32 [size=\"164471467\", alpha=\"0.12\", expect_size=\"49341440\"] \n  32 -> 33 [size =\"49341440\"]\n  33 [size=\"159948800\", alpha=\"0.16\", expect_size=\"47984640\"] \n  33 -> 34 [size =\"47984640\"]\n  34 [size=\"24299520\", alpha=\"0.01\", expect_size=\"7289856\"] \n  34 -> 35 [size =\"7289856\"]\n  35 [size=\"118381227\", alpha=\"0.08\", expect_size=\"35514368\"] \n  35 -> 36 [size =\"35514368\"]\n  36 [size=\"28269227\", alpha=\"0.12\", expect_size=\"8480768\"] \n  36 -> 37 [size =\"8480768\"]\n  37 [size=\"27678720\", alpha=\"0.19\", expect_size=\"8303616\"] \n  37 -> 38 [size =\"8303616\"]\n  38 [size=\"159631360\", alpha=\"0.16\", expect_size=\"47889408\"] \n  38 -> 39 [size =\"47889408\"]\n  39 [size=\"113916587\", alpha=\"0.01\", expect_size=\"34174976\"] \n  39 -> 40 [size =\"34174976\"]\n  40 [size=\"172038827\", alpha=\"0.00\", expect_size=\"51611648\"] \n  40 -> 41 [size =\"51611648\"]\n  41 [size=\"58944853\", alpha=\"0.13\", expect_size=\"17683456\"] \n  41 -> 42 [size =\"17683456\"]\n  42 [size=\"153808213\", alpha=\"0.20\", expect_size=\"46142464\"] \n  42 -> 43 [size =\"46142464\"]\n  43 [size=\"91521707\", alpha=\"0.18\", expect_size=\"27456512\"] \n  43 -> 44 [size =\"27456512\"]\n  44 [size=\"61655040\", alpha=\"0.16\", expect_size=\"18496512\"] \n  44 -> 45 [size =\"18496512\"]\n  45 [size=\"70034773\", alpha=\"0.14\", expect_size=\"21010432\"] \n  45 -> 46 [size =\"21010432\"]\n  46 [size=\"131863893\", alpha=\"0.04\", expect_size=\"39559168\"] \n  46 -> 47 [size =\"39559168\"]\n  47 [size=\"68853760\", alpha=\"0.07\", expect_size=\"20656128\"] \n  47 -> 48 [size =\"20656128\"]\n  48 [size=\"64283307\", alpha=\"0.19\", expect_size=\"19284992\"] \n  48 -> 49 [size =\"19284992\"]\n  49 [size=\"35440640\", alpha=\"0.04\", expect_size=\"10632192\"] \n  49 -> 50 [size =\"10632192\"]\n  50 [size=\"41803093\", alpha=\"0.09\", expect_size=\"12540928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.399.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27555840\", alpha=\"0.14\", expect_size=\"11022336\"] \n  1 -> 18 [size =\"11022336\"]\n  1 -> 24 [size =\"11022336\"]\n  1 -> 27 [size =\"11022336\"]\n  2 [size=\"92052480\", alpha=\"0.16\", expect_size=\"36820992\"] \n  2 -> 11 [size =\"36820992\"]\n  2 -> 22 [size =\"36820992\"]\n  2 -> 23 [size =\"36820992\"]\n  2 -> 24 [size =\"36820992\"]\n  2 -> 25 [size =\"36820992\"]\n  3 [size=\"48788480\", alpha=\"0.16\", expect_size=\"19515392\"] \n  3 -> 14 [size =\"19515392\"]\n  3 -> 17 [size =\"19515392\"]\n  3 -> 21 [size =\"19515392\"]\n  3 -> 23 [size =\"19515392\"]\n  3 -> 24 [size =\"19515392\"]\n  3 -> 26 [size =\"19515392\"]\n  3 -> 28 [size =\"19515392\"]\n  4 [size=\"52111360\", alpha=\"0.18\", expect_size=\"20844544\"] \n  4 -> 17 [size =\"20844544\"]\n  4 -> 21 [size =\"20844544\"]\n  4 -> 22 [size =\"20844544\"]\n  4 -> 23 [size =\"20844544\"]\n  4 -> 24 [size =\"20844544\"]\n  4 -> 28 [size =\"20844544\"]\n  5 [size=\"71751680\", alpha=\"0.11\", expect_size=\"28700672\"] \n  5 -> 13 [size =\"28700672\"]\n  5 -> 19 [size =\"28700672\"]\n  5 -> 21 [size =\"28700672\"]\n  5 -> 22 [size =\"28700672\"]\n  5 -> 23 [size =\"28700672\"]\n  5 -> 26 [size =\"28700672\"]\n  5 -> 27 [size =\"28700672\"]\n  5 -> 28 [size =\"28700672\"]\n  6 [size=\"83914240\", alpha=\"0.05\", expect_size=\"33565696\"] \n  7 [size=\"31961600\", alpha=\"0.17\", expect_size=\"12784640\"] \n  7 -> 19 [size =\"12784640\"]\n  7 -> 20 [size =\"12784640\"]\n  7 -> 23 [size =\"12784640\"]\n  7 -> 26 [size =\"12784640\"]\n  7 -> 27 [size =\"12784640\"]\n  8 [size=\"66050560\", alpha=\"0.13\", expect_size=\"26420224\"] \n  8 -> 13 [size =\"26420224\"]\n  8 -> 15 [size =\"26420224\"]\n  8 -> 19 [size =\"26420224\"]\n  8 -> 20 [size =\"26420224\"]\n  8 -> 22 [size =\"26420224\"]\n  8 -> 26 [size =\"26420224\"]\n  9 [size=\"93793280\", alpha=\"0.11\", expect_size=\"37517312\"] \n  9 -> 12 [size =\"37517312\"]\n  9 -> 13 [size =\"37517312\"]\n  9 -> 15 [size =\"37517312\"]\n  9 -> 16 [size =\"37517312\"]\n  9 -> 18 [size =\"37517312\"]\n  9 -> 20 [size =\"37517312\"]\n  9 -> 27 [size =\"37517312\"]\n  10 [size=\"98885120\", alpha=\"0.13\", expect_size=\"39554048\"] \n  10 -> 19 [size =\"39554048\"]\n  10 -> 20 [size =\"39554048\"]\n  10 -> 21 [size =\"39554048\"]\n  10 -> 22 [size =\"39554048\"]\n  10 -> 24 [size =\"39554048\"]\n  10 -> 25 [size =\"39554048\"]\n  10 -> 27 [size =\"39554048\"]\n  10 -> 29 [size =\"39554048\"]\n  11 [size=\"103324160\", alpha=\"0.10\", expect_size=\"41329664\"] \n  11 -> 32 [size =\"41329664\"]\n  11 -> 35 [size =\"41329664\"]\n  11 -> 37 [size =\"41329664\"]\n  11 -> 38 [size =\"41329664\"]\n  12 [size=\"66480640\", alpha=\"0.12\", expect_size=\"26592256\"] \n  12 -> 35 [size =\"26592256\"]\n  12 -> 37 [size =\"26592256\"]\n  13 [size=\"44295680\", alpha=\"0.06\", expect_size=\"17718272\"] \n  13 -> 32 [size =\"17718272\"]\n  13 -> 33 [size =\"17718272\"]\n  14 [size=\"22474240\", alpha=\"0.02\", expect_size=\"8989696\"] \n  14 -> 34 [size =\"8989696\"]\n  14 -> 37 [size =\"8989696\"]\n  14 -> 39 [size =\"8989696\"]\n  14 -> 40 [size =\"8989696\"]\n  15 [size=\"130311680\", alpha=\"0.02\", expect_size=\"52124672\"] \n  15 -> 33 [size =\"52124672\"]\n  15 -> 37 [size =\"52124672\"]\n  15 -> 40 [size =\"52124672\"]\n  16 [size=\"76894720\", alpha=\"0.00\", expect_size=\"30757888\"] \n  16 -> 32 [size =\"30757888\"]\n  16 -> 37 [size =\"30757888\"]\n  16 -> 39 [size =\"30757888\"]\n  16 -> 40 [size =\"30757888\"]\n  17 [size=\"104471040\", alpha=\"0.11\", expect_size=\"41788416\"] \n  17 -> 30 [size =\"41788416\"]\n  17 -> 32 [size =\"41788416\"]\n  17 -> 37 [size =\"41788416\"]\n  18 [size=\"87987200\", alpha=\"0.20\", expect_size=\"35194880\"] \n  18 -> 35 [size =\"35194880\"]\n  19 [size=\"48629760\", alpha=\"0.18\", expect_size=\"19451904\"] \n  19 -> 31 [size =\"19451904\"]\n  19 -> 32 [size =\"19451904\"]\n  20 [size=\"111226880\", alpha=\"0.16\", expect_size=\"44490752\"] \n  20 -> 34 [size =\"44490752\"]\n  20 -> 35 [size =\"44490752\"]\n  21 [size=\"67384320\", alpha=\"0.17\", expect_size=\"26953728\"] \n  21 -> 36 [size =\"26953728\"]\n  22 [size=\"125122560\", alpha=\"0.10\", expect_size=\"50049024\"] \n  22 -> 30 [size =\"50049024\"]\n  22 -> 40 [size =\"50049024\"]\n  23 [size=\"78471680\", alpha=\"0.10\", expect_size=\"31388672\"] \n  23 -> 40 [size =\"31388672\"]\n  24 [size=\"115978240\", alpha=\"0.16\", expect_size=\"46391296\"] \n  24 -> 32 [size =\"46391296\"]\n  24 -> 36 [size =\"46391296\"]\n  25 [size=\"129925120\", alpha=\"0.13\", expect_size=\"51970048\"] \n  25 -> 32 [size =\"51970048\"]\n  25 -> 33 [size =\"51970048\"]\n  26 [size=\"22904320\", alpha=\"0.01\", expect_size=\"9161728\"] \n  26 -> 32 [size =\"9161728\"]\n  26 -> 33 [size =\"9161728\"]\n  27 [size=\"23636480\", alpha=\"0.12\", expect_size=\"9454592\"] \n  27 -> 34 [size =\"9454592\"]\n  27 -> 38 [size =\"9454592\"]\n  27 -> 40 [size =\"9454592\"]\n  28 [size=\"88555520\", alpha=\"0.13\", expect_size=\"35422208\"] \n  28 -> 30 [size =\"35422208\"]\n  28 -> 31 [size =\"35422208\"]\n  28 -> 32 [size =\"35422208\"]\n  28 -> 39 [size =\"35422208\"]\n  29 [size=\"87782400\", alpha=\"0.07\", expect_size=\"35112960\"] \n  29 -> 30 [size =\"35112960\"]\n  29 -> 31 [size =\"35112960\"]\n  29 -> 32 [size =\"35112960\"]\n  29 -> 36 [size =\"35112960\"]\n  30 [size=\"78543360\", alpha=\"0.15\", expect_size=\"31417344\"] \n  30 -> 42 [size =\"31417344\"]\n  30 -> 45 [size =\"31417344\"]\n  30 -> 46 [size =\"31417344\"]\n  31 [size=\"56486400\", alpha=\"0.19\", expect_size=\"22594560\"] \n  31 -> 41 [size =\"22594560\"]\n  31 -> 43 [size =\"22594560\"]\n  31 -> 45 [size =\"22594560\"]\n  31 -> 46 [size =\"22594560\"]\n  31 -> 47 [size =\"22594560\"]\n  31 -> 48 [size =\"22594560\"]\n  32 [size=\"36062720\", alpha=\"0.12\", expect_size=\"14425088\"] \n  32 -> 42 [size =\"14425088\"]\n  32 -> 43 [size =\"14425088\"]\n  32 -> 44 [size =\"14425088\"]\n  32 -> 46 [size =\"14425088\"]\n  33 [size=\"96217600\", alpha=\"0.11\", expect_size=\"38487040\"] \n  33 -> 46 [size =\"38487040\"]\n  33 -> 47 [size =\"38487040\"]\n  33 -> 49 [size =\"38487040\"]\n  34 [size=\"36705280\", alpha=\"0.11\", expect_size=\"14682112\"] \n  34 -> 42 [size =\"14682112\"]\n  34 -> 44 [size =\"14682112\"]\n  34 -> 49 [size =\"14682112\"]\n  35 [size=\"14494720\", alpha=\"0.10\", expect_size=\"5797888\"] \n  35 -> 43 [size =\"5797888\"]\n  35 -> 44 [size =\"5797888\"]\n  35 -> 45 [size =\"5797888\"]\n  35 -> 47 [size =\"5797888\"]\n  35 -> 49 [size =\"5797888\"]\n  36 [size=\"88227840\", alpha=\"0.01\", expect_size=\"35291136\"] \n  36 -> 45 [size =\"35291136\"]\n  36 -> 47 [size =\"35291136\"]\n  36 -> 48 [size =\"35291136\"]\n  37 [size=\"92787200\", alpha=\"0.07\", expect_size=\"37114880\"] \n  37 -> 47 [size =\"37114880\"]\n  37 -> 50 [size =\"37114880\"]\n  38 [size=\"47029760\", alpha=\"0.06\", expect_size=\"18811904\"] \n  38 -> 49 [size =\"18811904\"]\n  39 [size=\"121861120\", alpha=\"0.11\", expect_size=\"48744448\"] \n  39 -> 42 [size =\"48744448\"]\n  39 -> 45 [size =\"48744448\"]\n  39 -> 48 [size =\"48744448\"]\n  40 [size=\"44080640\", alpha=\"0.12\", expect_size=\"17632256\"] \n  40 -> 44 [size =\"17632256\"]\n  40 -> 45 [size =\"17632256\"]\n  40 -> 46 [size =\"17632256\"]\n  40 -> 49 [size =\"17632256\"]\n  40 -> 50 [size =\"17632256\"]\n  41 [size=\"17428480\", alpha=\"0.03\", expect_size=\"6971392\"] \n  42 [size=\"14161920\", alpha=\"0.12\", expect_size=\"5664768\"] \n  43 [size=\"87651840\", alpha=\"0.13\", expect_size=\"35060736\"] \n  44 [size=\"33162240\", alpha=\"0.11\", expect_size=\"13264896\"] \n  45 [size=\"95989760\", alpha=\"0.09\", expect_size=\"38395904\"] \n  46 [size=\"39444480\", alpha=\"0.09\", expect_size=\"15777792\"] \n  47 [size=\"45281280\", alpha=\"0.10\", expect_size=\"18112512\"] \n  48 [size=\"86901760\", alpha=\"0.04\", expect_size=\"34760704\"] \n  49 [size=\"121221120\", alpha=\"0.11\", expect_size=\"48488448\"] \n  50 [size=\"65797120\", alpha=\"0.09\", expect_size=\"26318848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94849707\", alpha=\"0.02\", expect_size=\"28454912\"] \n  1 -> 39 [size =\"28454912\"]\n  1 -> 47 [size =\"28454912\"]\n  1 -> 49 [size =\"28454912\"]\n  2 [size=\"38389760\", alpha=\"0.20\", expect_size=\"11516928\"] \n  2 -> 39 [size =\"11516928\"]\n  2 -> 40 [size =\"11516928\"]\n  2 -> 42 [size =\"11516928\"]\n  2 -> 45 [size =\"11516928\"]\n  2 -> 47 [size =\"11516928\"]\n  2 -> 49 [size =\"11516928\"]\n  3 [size=\"162273280\", alpha=\"0.14\", expect_size=\"48681984\"] \n  3 -> 39 [size =\"48681984\"]\n  3 -> 40 [size =\"48681984\"]\n  3 -> 42 [size =\"48681984\"]\n  3 -> 47 [size =\"48681984\"]\n  3 -> 49 [size =\"48681984\"]\n  3 -> 49 [size =\"48681984\"]\n  4 [size=\"102512640\", alpha=\"0.15\", expect_size=\"30753792\"] \n  4 -> 40 [size =\"30753792\"]\n  4 -> 42 [size =\"30753792\"]\n  4 -> 49 [size =\"30753792\"]\n  5 [size=\"83070293\", alpha=\"0.18\", expect_size=\"24921088\"] \n  5 -> 39 [size =\"24921088\"]\n  5 -> 40 [size =\"24921088\"]\n  5 -> 42 [size =\"24921088\"]\n  5 -> 44 [size =\"24921088\"]\n  5 -> 45 [size =\"24921088\"]\n  6 [size=\"54336853\", alpha=\"0.19\", expect_size=\"16301056\"] \n  6 -> 39 [size =\"16301056\"]\n  6 -> 40 [size =\"16301056\"]\n  6 -> 42 [size =\"16301056\"]\n  6 -> 45 [size =\"16301056\"]\n  6 -> 45 [size =\"16301056\"]\n  7 [size=\"34614613\", alpha=\"0.15\", expect_size=\"10384384\"] \n  7 -> 39 [size =\"10384384\"]\n  7 -> 40 [size =\"10384384\"]\n  7 -> 42 [size =\"10384384\"]\n  7 -> 44 [size =\"10384384\"]\n  7 -> 45 [size =\"10384384\"]\n  8 [size=\"42827093\", alpha=\"0.03\", expect_size=\"12848128\"] \n  8 -> 43 [size =\"12848128\"]\n  8 -> 44 [size =\"12848128\"]\n  8 -> 45 [size =\"12848128\"]\n  8 -> 47 [size =\"12848128\"]\n  8 -> 49 [size =\"12848128\"]\n  8 -> 50 [size =\"12848128\"]\n  9 [size=\"52988587\", alpha=\"0.19\", expect_size=\"15896576\"] \n  9 -> 44 [size =\"15896576\"]\n  9 -> 45 [size =\"15896576\"]\n  9 -> 49 [size =\"15896576\"]\n  9 -> 50 [size =\"15896576\"]\n  10 [size=\"33870507\", alpha=\"0.15\", expect_size=\"10161152\"] \n  10 -> 39 [size =\"10161152\"]\n  10 -> 40 [size =\"10161152\"]\n  11 [size=\"108926293\", alpha=\"0.16\", expect_size=\"32677888\"] \n  11 -> 39 [size =\"32677888\"]\n  11 -> 40 [size =\"32677888\"]\n  11 -> 42 [size =\"32677888\"]\n  11 -> 43 [size =\"32677888\"]\n  11 -> 47 [size =\"32677888\"]\n  11 -> 50 [size =\"32677888\"]\n  12 [size=\"123081387\", alpha=\"0.16\", expect_size=\"36924416\"] \n  12 -> 42 [size =\"36924416\"]\n  12 -> 45 [size =\"36924416\"]\n  12 -> 50 [size =\"36924416\"]\n  13 [size=\"121750187\", alpha=\"0.03\", expect_size=\"36525056\"] \n  13 -> 40 [size =\"36525056\"]\n  13 -> 42 [size =\"36525056\"]\n  13 -> 50 [size =\"36525056\"]\n  14 [size=\"73591467\", alpha=\"0.04\", expect_size=\"22077440\"] \n  14 -> 40 [size =\"22077440\"]\n  14 -> 42 [size =\"22077440\"]\n  14 -> 44 [size =\"22077440\"]\n  14 -> 45 [size =\"22077440\"]\n  14 -> 46 [size =\"22077440\"]\n  14 -> 47 [size =\"22077440\"]\n  14 -> 49 [size =\"22077440\"]\n  14 -> 50 [size =\"22077440\"]\n  15 [size=\"35867307\", alpha=\"0.05\", expect_size=\"10760192\"] \n  15 -> 39 [size =\"10760192\"]\n  15 -> 40 [size =\"10760192\"]\n  15 -> 42 [size =\"10760192\"]\n  15 -> 44 [size =\"10760192\"]\n  15 -> 45 [size =\"10760192\"]\n  15 -> 50 [size =\"10760192\"]\n  16 [size=\"19483307\", alpha=\"0.02\", expect_size=\"5844992\"] \n  16 -> 40 [size =\"5844992\"]\n  16 -> 42 [size =\"5844992\"]\n  16 -> 42 [size =\"5844992\"]\n  16 -> 44 [size =\"5844992\"]\n  16 -> 46 [size =\"5844992\"]\n  16 -> 47 [size =\"5844992\"]\n  16 -> 49 [size =\"5844992\"]\n  16 -> 50 [size =\"5844992\"]\n  17 [size=\"168478720\", alpha=\"0.14\", expect_size=\"50543616\"] \n  17 -> 40 [size =\"50543616\"]\n  17 -> 42 [size =\"50543616\"]\n  17 -> 44 [size =\"50543616\"]\n  17 -> 44 [size =\"50543616\"]\n  17 -> 45 [size =\"50543616\"]\n  17 -> 49 [size =\"50543616\"]\n  17 -> 50 [size =\"50543616\"]\n  17 -> 50 [size =\"50543616\"]\n  18 [size=\"127238827\", alpha=\"0.05\", expect_size=\"38171648\"] \n  18 -> 40 [size =\"38171648\"]\n  18 -> 42 [size =\"38171648\"]\n  18 -> 44 [size =\"38171648\"]\n  18 -> 50 [size =\"38171648\"]\n  19 [size=\"154047147\", alpha=\"0.00\", expect_size=\"46214144\"] \n  19 -> 40 [size =\"46214144\"]\n  19 -> 42 [size =\"46214144\"]\n  19 -> 44 [size =\"46214144\"]\n  19 -> 45 [size =\"46214144\"]\n  19 -> 46 [size =\"46214144\"]\n  19 -> 50 [size =\"46214144\"]\n  20 [size=\"148302507\", alpha=\"0.08\", expect_size=\"44490752\"] \n  20 -> 40 [size =\"44490752\"]\n  20 -> 42 [size =\"44490752\"]\n  20 -> 44 [size =\"44490752\"]\n  20 -> 45 [size =\"44490752\"]\n  20 -> 50 [size =\"44490752\"]\n  20 -> 50 [size =\"44490752\"]\n  21 [size=\"107223040\", alpha=\"0.05\", expect_size=\"32166912\"] \n  21 -> 40 [size =\"32166912\"]\n  21 -> 42 [size =\"32166912\"]\n  21 -> 44 [size =\"32166912\"]\n  21 -> 46 [size =\"32166912\"]\n  21 -> 50 [size =\"32166912\"]\n  22 [size=\"75376640\", alpha=\"0.05\", expect_size=\"22612992\"] \n  22 -> 42 [size =\"22612992\"]\n  22 -> 42 [size =\"22612992\"]\n  22 -> 45 [size =\"22612992\"]\n  22 -> 47 [size =\"22612992\"]\n  22 -> 50 [size =\"22612992\"]\n  23 [size=\"46530560\", alpha=\"0.03\", expect_size=\"13959168\"] \n  23 -> 39 [size =\"13959168\"]\n  23 -> 42 [size =\"13959168\"]\n  23 -> 44 [size =\"13959168\"]\n  23 -> 45 [size =\"13959168\"]\n  23 -> 47 [size =\"13959168\"]\n  24 [size=\"71540053\", alpha=\"0.12\", expect_size=\"21462016\"] \n  24 -> 39 [size =\"21462016\"]\n  24 -> 40 [size =\"21462016\"]\n  24 -> 41 [size =\"21462016\"]\n  24 -> 42 [size =\"21462016\"]\n  24 -> 44 [size =\"21462016\"]\n  24 -> 45 [size =\"21462016\"]\n  24 -> 46 [size =\"21462016\"]\n  24 -> 47 [size =\"21462016\"]\n  24 -> 50 [size =\"21462016\"]\n  25 [size=\"99304107\", alpha=\"0.10\", expect_size=\"29791232\"] \n  25 -> 40 [size =\"29791232\"]\n  25 -> 44 [size =\"29791232\"]\n  25 -> 46 [size =\"29791232\"]\n  25 -> 47 [size =\"29791232\"]\n  25 -> 49 [size =\"29791232\"]\n  26 [size=\"141445120\", alpha=\"0.12\", expect_size=\"42433536\"] \n  26 -> 39 [size =\"42433536\"]\n  26 -> 42 [size =\"42433536\"]\n  26 -> 43 [size =\"42433536\"]\n  26 -> 44 [size =\"42433536\"]\n  26 -> 45 [size =\"42433536\"]\n  26 -> 47 [size =\"42433536\"]\n  27 [size=\"160419840\", alpha=\"0.16\", expect_size=\"48125952\"] \n  27 -> 39 [size =\"48125952\"]\n  27 -> 42 [size =\"48125952\"]\n  27 -> 44 [size =\"48125952\"]\n  27 -> 45 [size =\"48125952\"]\n  27 -> 45 [size =\"48125952\"]\n  27 -> 48 [size =\"48125952\"]\n  27 -> 49 [size =\"48125952\"]\n  28 [size=\"114626560\", alpha=\"0.03\", expect_size=\"34387968\"] \n  28 -> 39 [size =\"34387968\"]\n  28 -> 40 [size =\"34387968\"]\n  28 -> 45 [size =\"34387968\"]\n  29 [size=\"150405120\", alpha=\"0.15\", expect_size=\"45121536\"] \n  29 -> 39 [size =\"45121536\"]\n  29 -> 41 [size =\"45121536\"]\n  29 -> 42 [size =\"45121536\"]\n  29 -> 44 [size =\"45121536\"]\n  29 -> 45 [size =\"45121536\"]\n  29 -> 47 [size =\"45121536\"]\n  29 -> 50 [size =\"45121536\"]\n  30 [size=\"152323413\", alpha=\"0.10\", expect_size=\"45697024\"] \n  30 -> 40 [size =\"45697024\"]\n  30 -> 42 [size =\"45697024\"]\n  30 -> 42 [size =\"45697024\"]\n  30 -> 44 [size =\"45697024\"]\n  30 -> 45 [size =\"45697024\"]\n  30 -> 50 [size =\"45697024\"]\n  31 [size=\"54923947\", alpha=\"0.15\", expect_size=\"16477184\"] \n  31 -> 39 [size =\"16477184\"]\n  31 -> 40 [size =\"16477184\"]\n  31 -> 45 [size =\"16477184\"]\n  31 -> 46 [size =\"16477184\"]\n  31 -> 49 [size =\"16477184\"]\n  31 -> 50 [size =\"16477184\"]\n  32 [size=\"92866560\", alpha=\"0.15\", expect_size=\"27859968\"] \n  32 -> 39 [size =\"27859968\"]\n  32 -> 46 [size =\"27859968\"]\n  32 -> 47 [size =\"27859968\"]\n  32 -> 50 [size =\"27859968\"]\n  33 [size=\"129778347\", alpha=\"0.07\", expect_size=\"38933504\"] \n  33 -> 39 [size =\"38933504\"]\n  33 -> 40 [size =\"38933504\"]\n  33 -> 45 [size =\"38933504\"]\n  33 -> 49 [size =\"38933504\"]\n  33 -> 50 [size =\"38933504\"]\n  34 [size=\"153176747\", alpha=\"0.07\", expect_size=\"45953024\"] \n  34 -> 43 [size =\"45953024\"]\n  34 -> 44 [size =\"45953024\"]\n  34 -> 45 [size =\"45953024\"]\n  34 -> 49 [size =\"45953024\"]\n  35 [size=\"90811733\", alpha=\"0.09\", expect_size=\"27243520\"] \n  35 -> 42 [size =\"27243520\"]\n  35 -> 44 [size =\"27243520\"]\n  35 -> 45 [size =\"27243520\"]\n  35 -> 46 [size =\"27243520\"]\n  35 -> 50 [size =\"27243520\"]\n  36 [size=\"165563733\", alpha=\"0.11\", expect_size=\"49669120\"] \n  36 -> 40 [size =\"49669120\"]\n  36 -> 42 [size =\"49669120\"]\n  36 -> 44 [size =\"49669120\"]\n  36 -> 46 [size =\"49669120\"]\n  36 -> 50 [size =\"49669120\"]\n  37 [size=\"99727360\", alpha=\"0.12\", expect_size=\"29918208\"] \n  37 -> 42 [size =\"29918208\"]\n  37 -> 42 [size =\"29918208\"]\n  37 -> 44 [size =\"29918208\"]\n  37 -> 47 [size =\"29918208\"]\n  38 [size=\"67723947\", alpha=\"0.07\", expect_size=\"20317184\"] \n  38 -> 42 [size =\"20317184\"]\n  38 -> 44 [size =\"20317184\"]\n  38 -> 45 [size =\"20317184\"]\n  38 -> 47 [size =\"20317184\"]\n  38 -> 49 [size =\"20317184\"]\n  38 -> 50 [size =\"20317184\"]\n  39 [size=\"94911147\", alpha=\"0.00\", expect_size=\"28473344\"] \n  40 [size=\"59511467\", alpha=\"0.09\", expect_size=\"17853440\"] \n  41 [size=\"135212373\", alpha=\"0.10\", expect_size=\"40563712\"] \n  42 [size=\"98887680\", alpha=\"0.18\", expect_size=\"29666304\"] \n  43 [size=\"56149333\", alpha=\"0.10\", expect_size=\"16844800\"] \n  44 [size=\"111267840\", alpha=\"0.09\", expect_size=\"33380352\"] \n  45 [size=\"163078827\", alpha=\"0.18\", expect_size=\"48923648\"] \n  46 [size=\"72680107\", alpha=\"0.03\", expect_size=\"21804032\"] \n  47 [size=\"156661760\", alpha=\"0.06\", expect_size=\"46998528\"] \n  48 [size=\"94163627\", alpha=\"0.01\", expect_size=\"28249088\"] \n  49 [size=\"152234667\", alpha=\"0.13\", expect_size=\"45670400\"] \n  50 [size=\"152876373\", alpha=\"0.03\", expect_size=\"45862912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87877632\", alpha=\"0.17\", expect_size=\"43938816\"] \n  1 -> 2 [size =\"43938816\"]\n  1 -> 3 [size =\"43938816\"]\n  1 -> 4 [size =\"43938816\"]\n  2 [size=\"46657536\", alpha=\"0.14\", expect_size=\"23328768\"] \n  2 -> 5 [size =\"23328768\"]\n  3 [size=\"88883200\", alpha=\"0.03\", expect_size=\"44441600\"] \n  3 -> 5 [size =\"44441600\"]\n  4 [size=\"76808192\", alpha=\"0.04\", expect_size=\"38404096\"] \n  4 -> 6 [size =\"38404096\"]\n  5 [size=\"50268160\", alpha=\"0.17\", expect_size=\"25134080\"] \n  5 -> 8 [size =\"25134080\"]\n  5 -> 9 [size =\"25134080\"]\n  6 [size=\"82393088\", alpha=\"0.07\", expect_size=\"41196544\"] \n  6 -> 7 [size =\"41196544\"]\n  7 [size=\"57280512\", alpha=\"0.16\", expect_size=\"28640256\"] \n  7 -> 11 [size =\"28640256\"]\n  8 [size=\"45635584\", alpha=\"0.04\", expect_size=\"22817792\"] \n  8 -> 11 [size =\"22817792\"]\n  9 [size=\"91860992\", alpha=\"0.18\", expect_size=\"45930496\"] \n  9 -> 10 [size =\"45930496\"]\n  10 [size=\"89507840\", alpha=\"0.13\", expect_size=\"44753920\"] \n  10 -> 12 [size =\"44753920\"]\n  11 [size=\"52281344\", alpha=\"0.03\", expect_size=\"26140672\"] \n  11 -> 13 [size =\"26140672\"]\n  11 -> 14 [size =\"26140672\"]\n  12 [size=\"38023168\", alpha=\"0.15\", expect_size=\"19011584\"] \n  12 -> 15 [size =\"19011584\"]\n  13 [size=\"103325696\", alpha=\"0.02\", expect_size=\"51662848\"] \n  13 -> 16 [size =\"51662848\"]\n  13 -> 17 [size =\"51662848\"]\n  14 [size=\"22171648\", alpha=\"0.07\", expect_size=\"11085824\"] \n  14 -> 15 [size =\"11085824\"]\n  15 [size=\"42952704\", alpha=\"0.17\", expect_size=\"21476352\"] \n  15 -> 18 [size =\"21476352\"]\n  16 [size=\"26757120\", alpha=\"0.18\", expect_size=\"13378560\"] \n  17 [size=\"59117568\", alpha=\"0.08\", expect_size=\"29558784\"] \n  17 -> 18 [size =\"29558784\"]\n  17 -> 19 [size =\"29558784\"]\n  17 -> 20 [size =\"29558784\"]\n  18 [size=\"38735872\", alpha=\"0.11\", expect_size=\"19367936\"] \n  18 -> 21 [size =\"19367936\"]\n  19 [size=\"57493504\", alpha=\"0.01\", expect_size=\"28746752\"] \n  19 -> 22 [size =\"28746752\"]\n  20 [size=\"46888960\", alpha=\"0.16\", expect_size=\"23444480\"] \n  20 -> 22 [size =\"23444480\"]\n  21 [size=\"14759936\", alpha=\"0.07\", expect_size=\"7379968\"] \n  21 -> 23 [size =\"7379968\"]\n  21 -> 24 [size =\"7379968\"]\n  22 [size=\"30167040\", alpha=\"0.06\", expect_size=\"15083520\"] \n  23 [size=\"98768896\", alpha=\"0.02\", expect_size=\"49384448\"] \n  23 -> 25 [size =\"49384448\"]\n  23 -> 26 [size =\"49384448\"]\n  23 -> 28 [size =\"49384448\"]\n  24 [size=\"14254080\", alpha=\"0.11\", expect_size=\"7127040\"] \n  24 -> 27 [size =\"7127040\"]\n  25 [size=\"46850048\", alpha=\"0.09\", expect_size=\"23425024\"] \n  26 [size=\"34459648\", alpha=\"0.02\", expect_size=\"17229824\"] \n  27 [size=\"27287552\", alpha=\"0.06\", expect_size=\"13643776\"] \n  27 -> 31 [size =\"13643776\"]\n  28 [size=\"64569344\", alpha=\"0.16\", expect_size=\"32284672\"] \n  28 -> 29 [size =\"32284672\"]\n  28 -> 30 [size =\"32284672\"]\n  29 [size=\"23371776\", alpha=\"0.04\", expect_size=\"11685888\"] \n  29 -> 32 [size =\"11685888\"]\n  29 -> 33 [size =\"11685888\"]\n  30 [size=\"27596800\", alpha=\"0.09\", expect_size=\"13798400\"] \n  30 -> 32 [size =\"13798400\"]\n  31 [size=\"102006784\", alpha=\"0.02\", expect_size=\"51003392\"] \n  32 [size=\"40873984\", alpha=\"0.02\", expect_size=\"20436992\"] \n  33 [size=\"69117952\", alpha=\"0.01\", expect_size=\"34558976\"] \n  33 -> 34 [size =\"34558976\"]\n  33 -> 35 [size =\"34558976\"]\n  34 [size=\"76390400\", alpha=\"0.02\", expect_size=\"38195200\"] \n  35 [size=\"34643968\", alpha=\"0.11\", expect_size=\"17321984\"] \n  35 -> 36 [size =\"17321984\"]\n  35 -> 37 [size =\"17321984\"]\n  36 [size=\"78034944\", alpha=\"0.02\", expect_size=\"39017472\"] \n  36 -> 38 [size =\"39017472\"]\n  36 -> 39 [size =\"39017472\"]\n  37 [size=\"89724928\", alpha=\"0.05\", expect_size=\"44862464\"] \n  37 -> 40 [size =\"44862464\"]\n  38 [size=\"22138880\", alpha=\"0.13\", expect_size=\"11069440\"] \n  38 -> 43 [size =\"11069440\"]\n  39 [size=\"99170304\", alpha=\"0.11\", expect_size=\"49585152\"] \n  40 [size=\"24707072\", alpha=\"0.16\", expect_size=\"12353536\"] \n  40 -> 41 [size =\"12353536\"]\n  40 -> 42 [size =\"12353536\"]\n  40 -> 44 [size =\"12353536\"]\n  41 [size=\"66519040\", alpha=\"0.03\", expect_size=\"33259520\"] \n  42 [size=\"77656064\", alpha=\"0.14\", expect_size=\"38828032\"] \n  43 [size=\"85659648\", alpha=\"0.04\", expect_size=\"42829824\"] \n  44 [size=\"88997888\", alpha=\"0.14\", expect_size=\"44498944\"] \n  44 -> 45 [size =\"44498944\"]\n  44 -> 46 [size =\"44498944\"]\n  45 [size=\"99356672\", alpha=\"0.12\", expect_size=\"49678336\"] \n  45 -> 47 [size =\"49678336\"]\n  45 -> 49 [size =\"49678336\"]\n  46 [size=\"54835200\", alpha=\"0.15\", expect_size=\"27417600\"] \n  46 -> 48 [size =\"27417600\"]\n  47 [size=\"66076672\", alpha=\"0.02\", expect_size=\"33038336\"] \n  48 [size=\"87341056\", alpha=\"0.00\", expect_size=\"43670528\"] \n  48 -> 50 [size =\"43670528\"]\n  49 [size=\"52508672\", alpha=\"0.01\", expect_size=\"26254336\"] \n  50 [size=\"102959104\", alpha=\"0.06\", expect_size=\"51479552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.400.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30398464\", alpha=\"0.20\", expect_size=\"15199232\"] \n  1 -> 32 [size =\"15199232\"]\n  1 -> 39 [size =\"15199232\"]\n  1 -> 46 [size =\"15199232\"]\n  1 -> 48 [size =\"15199232\"]\n  1 -> 50 [size =\"15199232\"]\n  2 [size=\"87154688\", alpha=\"0.05\", expect_size=\"43577344\"] \n  2 -> 32 [size =\"43577344\"]\n  2 -> 37 [size =\"43577344\"]\n  2 -> 39 [size =\"43577344\"]\n  2 -> 41 [size =\"43577344\"]\n  2 -> 43 [size =\"43577344\"]\n  2 -> 46 [size =\"43577344\"]\n  2 -> 48 [size =\"43577344\"]\n  3 [size=\"80093184\", alpha=\"0.07\", expect_size=\"40046592\"] \n  3 -> 40 [size =\"40046592\"]\n  3 -> 44 [size =\"40046592\"]\n  3 -> 46 [size =\"40046592\"]\n  3 -> 47 [size =\"40046592\"]\n  4 [size=\"62486528\", alpha=\"0.19\", expect_size=\"31243264\"] \n  4 -> 37 [size =\"31243264\"]\n  4 -> 38 [size =\"31243264\"]\n  4 -> 44 [size =\"31243264\"]\n  5 [size=\"38791168\", alpha=\"0.18\", expect_size=\"19395584\"] \n  5 -> 39 [size =\"19395584\"]\n  5 -> 42 [size =\"19395584\"]\n  5 -> 46 [size =\"19395584\"]\n  5 -> 47 [size =\"19395584\"]\n  5 -> 50 [size =\"19395584\"]\n  6 [size=\"12627968\", alpha=\"0.09\", expect_size=\"6313984\"] \n  6 -> 36 [size =\"6313984\"]\n  6 -> 37 [size =\"6313984\"]\n  6 -> 40 [size =\"6313984\"]\n  6 -> 42 [size =\"6313984\"]\n  7 [size=\"18169856\", alpha=\"0.12\", expect_size=\"9084928\"] \n  7 -> 33 [size =\"9084928\"]\n  7 -> 36 [size =\"9084928\"]\n  7 -> 39 [size =\"9084928\"]\n  7 -> 40 [size =\"9084928\"]\n  7 -> 42 [size =\"9084928\"]\n  7 -> 46 [size =\"9084928\"]\n  7 -> 48 [size =\"9084928\"]\n  8 [size=\"87306240\", alpha=\"0.19\", expect_size=\"43653120\"] \n  8 -> 36 [size =\"43653120\"]\n  8 -> 38 [size =\"43653120\"]\n  8 -> 41 [size =\"43653120\"]\n  8 -> 42 [size =\"43653120\"]\n  8 -> 42 [size =\"43653120\"]\n  8 -> 44 [size =\"43653120\"]\n  8 -> 48 [size =\"43653120\"]\n  9 [size=\"47798272\", alpha=\"0.18\", expect_size=\"23899136\"] \n  9 -> 37 [size =\"23899136\"]\n  9 -> 40 [size =\"23899136\"]\n  9 -> 41 [size =\"23899136\"]\n  9 -> 50 [size =\"23899136\"]\n  10 [size=\"19415040\", alpha=\"0.03\", expect_size=\"9707520\"] \n  10 -> 35 [size =\"9707520\"]\n  10 -> 37 [size =\"9707520\"]\n  10 -> 41 [size =\"9707520\"]\n  10 -> 43 [size =\"9707520\"]\n  10 -> 44 [size =\"9707520\"]\n  10 -> 46 [size =\"9707520\"]\n  11 [size=\"94562304\", alpha=\"0.07\", expect_size=\"47281152\"] \n  11 -> 35 [size =\"47281152\"]\n  11 -> 37 [size =\"47281152\"]\n  11 -> 38 [size =\"47281152\"]\n  11 -> 39 [size =\"47281152\"]\n  11 -> 40 [size =\"47281152\"]\n  11 -> 41 [size =\"47281152\"]\n  11 -> 46 [size =\"47281152\"]\n  11 -> 48 [size =\"47281152\"]\n  12 [size=\"94449664\", alpha=\"0.05\", expect_size=\"47224832\"] \n  12 -> 32 [size =\"47224832\"]\n  12 -> 38 [size =\"47224832\"]\n  12 -> 40 [size =\"47224832\"]\n  12 -> 43 [size =\"47224832\"]\n  12 -> 46 [size =\"47224832\"]\n  12 -> 48 [size =\"47224832\"]\n  12 -> 50 [size =\"47224832\"]\n  13 [size=\"25460736\", alpha=\"0.05\", expect_size=\"12730368\"] \n  13 -> 32 [size =\"12730368\"]\n  13 -> 39 [size =\"12730368\"]\n  13 -> 43 [size =\"12730368\"]\n  13 -> 47 [size =\"12730368\"]\n  13 -> 48 [size =\"12730368\"]\n  14 [size=\"56866816\", alpha=\"0.18\", expect_size=\"28433408\"] \n  14 -> 33 [size =\"28433408\"]\n  14 -> 38 [size =\"28433408\"]\n  14 -> 39 [size =\"28433408\"]\n  14 -> 41 [size =\"28433408\"]\n  14 -> 43 [size =\"28433408\"]\n  14 -> 48 [size =\"28433408\"]\n  15 [size=\"51920896\", alpha=\"0.05\", expect_size=\"25960448\"] \n  15 -> 35 [size =\"25960448\"]\n  15 -> 37 [size =\"25960448\"]\n  15 -> 38 [size =\"25960448\"]\n  15 -> 39 [size =\"25960448\"]\n  15 -> 42 [size =\"25960448\"]\n  15 -> 47 [size =\"25960448\"]\n  16 [size=\"40232960\", alpha=\"0.04\", expect_size=\"20116480\"] \n  16 -> 39 [size =\"20116480\"]\n  16 -> 40 [size =\"20116480\"]\n  16 -> 48 [size =\"20116480\"]\n  17 [size=\"82001920\", alpha=\"0.11\", expect_size=\"41000960\"] \n  17 -> 39 [size =\"41000960\"]\n  17 -> 40 [size =\"41000960\"]\n  17 -> 41 [size =\"41000960\"]\n  17 -> 44 [size =\"41000960\"]\n  17 -> 48 [size =\"41000960\"]\n  18 [size=\"43081728\", alpha=\"0.08\", expect_size=\"21540864\"] \n  18 -> 34 [size =\"21540864\"]\n  18 -> 35 [size =\"21540864\"]\n  18 -> 36 [size =\"21540864\"]\n  18 -> 44 [size =\"21540864\"]\n  18 -> 45 [size =\"21540864\"]\n  18 -> 47 [size =\"21540864\"]\n  18 -> 48 [size =\"21540864\"]\n  19 [size=\"36816896\", alpha=\"0.20\", expect_size=\"18408448\"] \n  19 -> 36 [size =\"18408448\"]\n  19 -> 37 [size =\"18408448\"]\n  19 -> 39 [size =\"18408448\"]\n  19 -> 40 [size =\"18408448\"]\n  19 -> 42 [size =\"18408448\"]\n  20 [size=\"27392000\", alpha=\"0.16\", expect_size=\"13696000\"] \n  20 -> 34 [size =\"13696000\"]\n  20 -> 38 [size =\"13696000\"]\n  20 -> 40 [size =\"13696000\"]\n  20 -> 40 [size =\"13696000\"]\n  20 -> 46 [size =\"13696000\"]\n  20 -> 47 [size =\"13696000\"]\n  21 [size=\"43044864\", alpha=\"0.16\", expect_size=\"21522432\"] \n  21 -> 32 [size =\"21522432\"]\n  21 -> 37 [size =\"21522432\"]\n  21 -> 38 [size =\"21522432\"]\n  21 -> 39 [size =\"21522432\"]\n  21 -> 40 [size =\"21522432\"]\n  21 -> 41 [size =\"21522432\"]\n  21 -> 46 [size =\"21522432\"]\n  22 [size=\"76142592\", alpha=\"0.13\", expect_size=\"38071296\"] \n  22 -> 35 [size =\"38071296\"]\n  22 -> 39 [size =\"38071296\"]\n  22 -> 40 [size =\"38071296\"]\n  22 -> 41 [size =\"38071296\"]\n  22 -> 44 [size =\"38071296\"]\n  22 -> 48 [size =\"38071296\"]\n  23 [size=\"101517312\", alpha=\"0.04\", expect_size=\"50758656\"] \n  23 -> 37 [size =\"50758656\"]\n  23 -> 38 [size =\"50758656\"]\n  23 -> 44 [size =\"50758656\"]\n  23 -> 50 [size =\"50758656\"]\n  24 [size=\"31719424\", alpha=\"0.06\", expect_size=\"15859712\"] \n  24 -> 38 [size =\"15859712\"]\n  24 -> 44 [size =\"15859712\"]\n  24 -> 47 [size =\"15859712\"]\n  25 [size=\"21377024\", alpha=\"0.14\", expect_size=\"10688512\"] \n  25 -> 35 [size =\"10688512\"]\n  25 -> 38 [size =\"10688512\"]\n  25 -> 40 [size =\"10688512\"]\n  25 -> 47 [size =\"10688512\"]\n  25 -> 48 [size =\"10688512\"]\n  25 -> 49 [size =\"10688512\"]\n  26 [size=\"43917312\", alpha=\"0.03\", expect_size=\"21958656\"] \n  26 -> 32 [size =\"21958656\"]\n  26 -> 37 [size =\"21958656\"]\n  26 -> 48 [size =\"21958656\"]\n  26 -> 50 [size =\"21958656\"]\n  27 [size=\"61913088\", alpha=\"0.14\", expect_size=\"30956544\"] \n  27 -> 37 [size =\"30956544\"]\n  27 -> 38 [size =\"30956544\"]\n  27 -> 40 [size =\"30956544\"]\n  27 -> 41 [size =\"30956544\"]\n  27 -> 48 [size =\"30956544\"]\n  28 [size=\"19927040\", alpha=\"0.00\", expect_size=\"9963520\"] \n  28 -> 37 [size =\"9963520\"]\n  28 -> 38 [size =\"9963520\"]\n  28 -> 43 [size =\"9963520\"]\n  28 -> 49 [size =\"9963520\"]\n  28 -> 50 [size =\"9963520\"]\n  29 [size=\"57808896\", alpha=\"0.15\", expect_size=\"28904448\"] \n  29 -> 36 [size =\"28904448\"]\n  29 -> 38 [size =\"28904448\"]\n  29 -> 41 [size =\"28904448\"]\n  29 -> 42 [size =\"28904448\"]\n  29 -> 43 [size =\"28904448\"]\n  29 -> 44 [size =\"28904448\"]\n  29 -> 47 [size =\"28904448\"]\n  30 [size=\"56985600\", alpha=\"0.11\", expect_size=\"28492800\"] \n  30 -> 33 [size =\"28492800\"]\n  30 -> 37 [size =\"28492800\"]\n  30 -> 39 [size =\"28492800\"]\n  30 -> 41 [size =\"28492800\"]\n  30 -> 42 [size =\"28492800\"]\n  30 -> 43 [size =\"28492800\"]\n  30 -> 44 [size =\"28492800\"]\n  30 -> 47 [size =\"28492800\"]\n  31 [size=\"37472256\", alpha=\"0.05\", expect_size=\"18736128\"] \n  31 -> 32 [size =\"18736128\"]\n  31 -> 33 [size =\"18736128\"]\n  31 -> 37 [size =\"18736128\"]\n  31 -> 38 [size =\"18736128\"]\n  31 -> 40 [size =\"18736128\"]\n  31 -> 41 [size =\"18736128\"]\n  31 -> 42 [size =\"18736128\"]\n  31 -> 44 [size =\"18736128\"]\n  31 -> 46 [size =\"18736128\"]\n  31 -> 49 [size =\"18736128\"]\n  31 -> 50 [size =\"18736128\"]\n  32 [size=\"19183616\", alpha=\"0.18\", expect_size=\"9591808\"] \n  33 [size=\"78788608\", alpha=\"0.13\", expect_size=\"39394304\"] \n  34 [size=\"97155072\", alpha=\"0.18\", expect_size=\"48577536\"] \n  35 [size=\"31907840\", alpha=\"0.12\", expect_size=\"15953920\"] \n  36 [size=\"100100096\", alpha=\"0.12\", expect_size=\"50050048\"] \n  37 [size=\"20758528\", alpha=\"0.07\", expect_size=\"10379264\"] \n  38 [size=\"84682752\", alpha=\"0.09\", expect_size=\"42341376\"] \n  39 [size=\"85579776\", alpha=\"0.17\", expect_size=\"42789888\"] \n  40 [size=\"60766208\", alpha=\"0.08\", expect_size=\"30383104\"] \n  41 [size=\"19167232\", alpha=\"0.07\", expect_size=\"9583616\"] \n  42 [size=\"44865536\", alpha=\"0.19\", expect_size=\"22432768\"] \n  43 [size=\"33079296\", alpha=\"0.10\", expect_size=\"16539648\"] \n  44 [size=\"93159424\", alpha=\"0.06\", expect_size=\"46579712\"] \n  45 [size=\"82743296\", alpha=\"0.05\", expect_size=\"41371648\"] \n  46 [size=\"43264000\", alpha=\"0.10\", expect_size=\"21632000\"] \n  47 [size=\"98844672\", alpha=\"0.06\", expect_size=\"49422336\"] \n  48 [size=\"37885952\", alpha=\"0.05\", expect_size=\"18942976\"] \n  49 [size=\"81729536\", alpha=\"0.13\", expect_size=\"40864768\"] \n  50 [size=\"67962880\", alpha=\"0.11\", expect_size=\"33981440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.401.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30423040\", alpha=\"0.20\", expect_size=\"15211520\"] \n  1 -> 3 [size =\"15211520\"]\n  1 -> 4 [size =\"15211520\"]\n  2 [size=\"14151680\", alpha=\"0.08\", expect_size=\"7075840\"] \n  2 -> 3 [size =\"7075840\"]\n  2 -> 4 [size =\"7075840\"]\n  3 [size=\"85473280\", alpha=\"0.11\", expect_size=\"42736640\"] \n  3 -> 7 [size =\"42736640\"]\n  4 [size=\"29235200\", alpha=\"0.01\", expect_size=\"14617600\"] \n  4 -> 5 [size =\"14617600\"]\n  4 -> 6 [size =\"14617600\"]\n  4 -> 7 [size =\"14617600\"]\n  5 [size=\"40433664\", alpha=\"0.07\", expect_size=\"20216832\"] \n  5 -> 8 [size =\"20216832\"]\n  6 [size=\"27461632\", alpha=\"0.00\", expect_size=\"13730816\"] \n  6 -> 8 [size =\"13730816\"]\n  6 -> 9 [size =\"13730816\"]\n  7 [size=\"60876800\", alpha=\"0.13\", expect_size=\"30438400\"] \n  8 [size=\"46354432\", alpha=\"0.02\", expect_size=\"23177216\"] \n  8 -> 12 [size =\"23177216\"]\n  9 [size=\"50573312\", alpha=\"0.07\", expect_size=\"25286656\"] \n  9 -> 10 [size =\"25286656\"]\n  9 -> 11 [size =\"25286656\"]\n  10 [size=\"72466432\", alpha=\"0.14\", expect_size=\"36233216\"] \n  10 -> 14 [size =\"36233216\"]\n  10 -> 15 [size =\"36233216\"]\n  11 [size=\"96794624\", alpha=\"0.03\", expect_size=\"48397312\"] \n  11 -> 13 [size =\"48397312\"]\n  11 -> 14 [size =\"48397312\"]\n  11 -> 15 [size =\"48397312\"]\n  12 [size=\"95223808\", alpha=\"0.09\", expect_size=\"47611904\"] \n  13 [size=\"36780032\", alpha=\"0.08\", expect_size=\"18390016\"] \n  13 -> 16 [size =\"18390016\"]\n  13 -> 17 [size =\"18390016\"]\n  13 -> 18 [size =\"18390016\"]\n  14 [size=\"90726400\", alpha=\"0.18\", expect_size=\"45363200\"] \n  15 [size=\"95586304\", alpha=\"0.05\", expect_size=\"47793152\"] \n  15 -> 16 [size =\"47793152\"]\n  15 -> 17 [size =\"47793152\"]\n  15 -> 18 [size =\"47793152\"]\n  16 [size=\"36450304\", alpha=\"0.06\", expect_size=\"18225152\"] \n  16 -> 20 [size =\"18225152\"]\n  17 [size=\"37349376\", alpha=\"0.04\", expect_size=\"18674688\"] \n  17 -> 19 [size =\"18674688\"]\n  18 [size=\"100139008\", alpha=\"0.20\", expect_size=\"50069504\"] \n  19 [size=\"14417920\", alpha=\"0.11\", expect_size=\"7208960\"] \n  19 -> 21 [size =\"7208960\"]\n  19 -> 22 [size =\"7208960\"]\n  20 [size=\"47593472\", alpha=\"0.12\", expect_size=\"23796736\"] \n  20 -> 21 [size =\"23796736\"]\n  20 -> 23 [size =\"23796736\"]\n  21 [size=\"17405952\", alpha=\"0.18\", expect_size=\"8702976\"] \n  22 [size=\"30705664\", alpha=\"0.05\", expect_size=\"15352832\"] \n  22 -> 25 [size =\"15352832\"]\n  22 -> 26 [size =\"15352832\"]\n  23 [size=\"71430144\", alpha=\"0.08\", expect_size=\"35715072\"] \n  23 -> 24 [size =\"35715072\"]\n  23 -> 25 [size =\"35715072\"]\n  23 -> 26 [size =\"35715072\"]\n  24 [size=\"14231552\", alpha=\"0.14\", expect_size=\"7115776\"] \n  24 -> 28 [size =\"7115776\"]\n  25 [size=\"99647488\", alpha=\"0.07\", expect_size=\"49823744\"] \n  25 -> 27 [size =\"49823744\"]\n  26 [size=\"26724352\", alpha=\"0.04\", expect_size=\"13362176\"] \n  26 -> 29 [size =\"13362176\"]\n  27 [size=\"54767616\", alpha=\"0.11\", expect_size=\"27383808\"] \n  27 -> 30 [size =\"27383808\"]\n  27 -> 31 [size =\"27383808\"]\n  27 -> 32 [size =\"27383808\"]\n  28 [size=\"74391552\", alpha=\"0.06\", expect_size=\"37195776\"] \n  28 -> 30 [size =\"37195776\"]\n  28 -> 31 [size =\"37195776\"]\n  29 [size=\"72929280\", alpha=\"0.09\", expect_size=\"36464640\"] \n  29 -> 30 [size =\"36464640\"]\n  30 [size=\"28901376\", alpha=\"0.06\", expect_size=\"14450688\"] \n  30 -> 33 [size =\"14450688\"]\n  31 [size=\"87502848\", alpha=\"0.01\", expect_size=\"43751424\"] \n  32 [size=\"79931392\", alpha=\"0.13\", expect_size=\"39965696\"] \n  32 -> 33 [size =\"39965696\"]\n  32 -> 34 [size =\"39965696\"]\n  33 [size=\"104226816\", alpha=\"0.12\", expect_size=\"52113408\"] \n  33 -> 35 [size =\"52113408\"]\n  34 [size=\"46632960\", alpha=\"0.07\", expect_size=\"23316480\"] \n  34 -> 35 [size =\"23316480\"]\n  34 -> 36 [size =\"23316480\"]\n  35 [size=\"20271104\", alpha=\"0.00\", expect_size=\"10135552\"] \n  35 -> 37 [size =\"10135552\"]\n  35 -> 38 [size =\"10135552\"]\n  36 [size=\"55093248\", alpha=\"0.19\", expect_size=\"27546624\"] \n  36 -> 37 [size =\"27546624\"]\n  36 -> 39 [size =\"27546624\"]\n  37 [size=\"73703424\", alpha=\"0.04\", expect_size=\"36851712\"] \n  38 [size=\"32120832\", alpha=\"0.07\", expect_size=\"16060416\"] \n  38 -> 40 [size =\"16060416\"]\n  38 -> 41 [size =\"16060416\"]\n  39 [size=\"60588032\", alpha=\"0.12\", expect_size=\"30294016\"] \n  39 -> 40 [size =\"30294016\"]\n  39 -> 41 [size =\"30294016\"]\n  40 [size=\"104824832\", alpha=\"0.04\", expect_size=\"52412416\"] \n  40 -> 43 [size =\"52412416\"]\n  41 [size=\"38068224\", alpha=\"0.18\", expect_size=\"19034112\"] \n  41 -> 42 [size =\"19034112\"]\n  41 -> 43 [size =\"19034112\"]\n  42 [size=\"40998912\", alpha=\"0.16\", expect_size=\"20499456\"] \n  42 -> 44 [size =\"20499456\"]\n  42 -> 45 [size =\"20499456\"]\n  42 -> 46 [size =\"20499456\"]\n  43 [size=\"103985152\", alpha=\"0.06\", expect_size=\"51992576\"] \n  43 -> 46 [size =\"51992576\"]\n  44 [size=\"64579584\", alpha=\"0.18\", expect_size=\"32289792\"] \n  44 -> 47 [size =\"32289792\"]\n  45 [size=\"97392640\", alpha=\"0.09\", expect_size=\"48696320\"] \n  45 -> 48 [size =\"48696320\"]\n  46 [size=\"98787328\", alpha=\"0.03\", expect_size=\"49393664\"] \n  46 -> 47 [size =\"49393664\"]\n  47 [size=\"94724096\", alpha=\"0.06\", expect_size=\"47362048\"] \n  47 -> 49 [size =\"47362048\"]\n  48 [size=\"17696768\", alpha=\"0.03\", expect_size=\"8848384\"] \n  48 -> 49 [size =\"8848384\"]\n  48 -> 50 [size =\"8848384\"]\n  49 [size=\"51730432\", alpha=\"0.13\", expect_size=\"25865216\"] \n  50 [size=\"12015616\", alpha=\"0.07\", expect_size=\"6007808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.402.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27189248\", alpha=\"0.11\", expect_size=\"13594624\"] \n  2 [size=\"30191616\", alpha=\"0.13\", expect_size=\"15095808\"] \n  3 [size=\"80787456\", alpha=\"0.09\", expect_size=\"40393728\"] \n  3 -> 4 [size =\"40393728\"]\n  3 -> 5 [size =\"40393728\"]\n  4 [size=\"102656000\", alpha=\"0.15\", expect_size=\"51328000\"] \n  4 -> 6 [size =\"51328000\"]\n  4 -> 8 [size =\"51328000\"]\n  5 [size=\"57593856\", alpha=\"0.16\", expect_size=\"28796928\"] \n  5 -> 7 [size =\"28796928\"]\n  6 [size=\"70060032\", alpha=\"0.17\", expect_size=\"35030016\"] \n  6 -> 9 [size =\"35030016\"]\n  6 -> 10 [size =\"35030016\"]\n  7 [size=\"28938240\", alpha=\"0.15\", expect_size=\"14469120\"] \n  7 -> 10 [size =\"14469120\"]\n  8 [size=\"77527040\", alpha=\"0.10\", expect_size=\"38763520\"] \n  8 -> 9 [size =\"38763520\"]\n  9 [size=\"100231168\", alpha=\"0.19\", expect_size=\"50115584\"] \n  9 -> 11 [size =\"50115584\"]\n  10 [size=\"15060992\", alpha=\"0.17\", expect_size=\"7530496\"] \n  10 -> 12 [size =\"7530496\"]\n  11 [size=\"62498816\", alpha=\"0.13\", expect_size=\"31249408\"] \n  11 -> 13 [size =\"31249408\"]\n  11 -> 14 [size =\"31249408\"]\n  12 [size=\"17694720\", alpha=\"0.18\", expect_size=\"8847360\"] \n  13 [size=\"77654016\", alpha=\"0.17\", expect_size=\"38827008\"] \n  13 -> 15 [size =\"38827008\"]\n  14 [size=\"26251264\", alpha=\"0.14\", expect_size=\"13125632\"] \n  14 -> 16 [size =\"13125632\"]\n  15 [size=\"94722048\", alpha=\"0.13\", expect_size=\"47361024\"] \n  16 [size=\"78032896\", alpha=\"0.14\", expect_size=\"39016448\"] \n  16 -> 17 [size =\"39016448\"]\n  16 -> 18 [size =\"39016448\"]\n  17 [size=\"64428032\", alpha=\"0.04\", expect_size=\"32214016\"] \n  17 -> 20 [size =\"32214016\"]\n  18 [size=\"39684096\", alpha=\"0.05\", expect_size=\"19842048\"] \n  18 -> 19 [size =\"19842048\"]\n  18 -> 21 [size =\"19842048\"]\n  19 [size=\"85643264\", alpha=\"0.08\", expect_size=\"42821632\"] \n  19 -> 22 [size =\"42821632\"]\n  19 -> 23 [size =\"42821632\"]\n  20 [size=\"80175104\", alpha=\"0.03\", expect_size=\"40087552\"] \n  20 -> 23 [size =\"40087552\"]\n  21 [size=\"65368064\", alpha=\"0.01\", expect_size=\"32684032\"] \n  22 [size=\"30699520\", alpha=\"0.04\", expect_size=\"15349760\"] \n  22 -> 24 [size =\"15349760\"]\n  23 [size=\"23572480\", alpha=\"0.01\", expect_size=\"11786240\"] \n  23 -> 25 [size =\"11786240\"]\n  23 -> 26 [size =\"11786240\"]\n  24 [size=\"104628224\", alpha=\"0.18\", expect_size=\"52314112\"] \n  24 -> 28 [size =\"52314112\"]\n  25 [size=\"76818432\", alpha=\"0.05\", expect_size=\"38409216\"] \n  25 -> 28 [size =\"38409216\"]\n  25 -> 29 [size =\"38409216\"]\n  26 [size=\"44015616\", alpha=\"0.05\", expect_size=\"22007808\"] \n  26 -> 27 [size =\"22007808\"]\n  26 -> 29 [size =\"22007808\"]\n  27 [size=\"13641728\", alpha=\"0.09\", expect_size=\"6820864\"] \n  27 -> 30 [size =\"6820864\"]\n  27 -> 31 [size =\"6820864\"]\n  27 -> 32 [size =\"6820864\"]\n  28 [size=\"32206848\", alpha=\"0.06\", expect_size=\"16103424\"] \n  28 -> 31 [size =\"16103424\"]\n  29 [size=\"55345152\", alpha=\"0.03\", expect_size=\"27672576\"] \n  29 -> 30 [size =\"27672576\"]\n  30 [size=\"92198912\", alpha=\"0.01\", expect_size=\"46099456\"] \n  30 -> 34 [size =\"46099456\"]\n  31 [size=\"10672128\", alpha=\"0.10\", expect_size=\"5336064\"] \n  31 -> 33 [size =\"5336064\"]\n  31 -> 35 [size =\"5336064\"]\n  32 [size=\"16211968\", alpha=\"0.00\", expect_size=\"8105984\"] \n  32 -> 35 [size =\"8105984\"]\n  33 [size=\"34156544\", alpha=\"0.05\", expect_size=\"17078272\"] \n  33 -> 37 [size =\"17078272\"]\n  34 [size=\"40435712\", alpha=\"0.13\", expect_size=\"20217856\"] \n  34 -> 36 [size =\"20217856\"]\n  35 [size=\"32849920\", alpha=\"0.18\", expect_size=\"16424960\"] \n  36 [size=\"58507264\", alpha=\"0.19\", expect_size=\"29253632\"] \n  36 -> 38 [size =\"29253632\"]\n  36 -> 39 [size =\"29253632\"]\n  37 [size=\"82612224\", alpha=\"0.10\", expect_size=\"41306112\"] \n  38 [size=\"29245440\", alpha=\"0.08\", expect_size=\"14622720\"] \n  38 -> 40 [size =\"14622720\"]\n  39 [size=\"59824128\", alpha=\"0.01\", expect_size=\"29912064\"] \n  39 -> 41 [size =\"29912064\"]\n  40 [size=\"75345920\", alpha=\"0.10\", expect_size=\"37672960\"] \n  40 -> 43 [size =\"37672960\"]\n  41 [size=\"80392192\", alpha=\"0.10\", expect_size=\"40196096\"] \n  41 -> 42 [size =\"40196096\"]\n  42 [size=\"32600064\", alpha=\"0.14\", expect_size=\"16300032\"] \n  42 -> 44 [size =\"16300032\"]\n  42 -> 46 [size =\"16300032\"]\n  43 [size=\"33556480\", alpha=\"0.01\", expect_size=\"16778240\"] \n  43 -> 45 [size =\"16778240\"]\n  44 [size=\"56053760\", alpha=\"0.08\", expect_size=\"28026880\"] \n  44 -> 49 [size =\"28026880\"]\n  45 [size=\"21491712\", alpha=\"0.09\", expect_size=\"10745856\"] \n  45 -> 47 [size =\"10745856\"]\n  45 -> 48 [size =\"10745856\"]\n  46 [size=\"14102528\", alpha=\"0.17\", expect_size=\"7051264\"] \n  47 [size=\"101437440\", alpha=\"0.06\", expect_size=\"50718720\"] \n  48 [size=\"54323200\", alpha=\"0.20\", expect_size=\"27161600\"] \n  49 [size=\"90703872\", alpha=\"0.03\", expect_size=\"45351936\"] \n  49 -> 50 [size =\"45351936\"]\n  50 [size=\"96991232\", alpha=\"0.03\", expect_size=\"48495616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.403.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74555392\", alpha=\"0.18\", expect_size=\"37277696\"] \n  1 -> 6 [size =\"37277696\"]\n  1 -> 10 [size =\"37277696\"]\n  1 -> 11 [size =\"37277696\"]\n  2 [size=\"90058752\", alpha=\"0.07\", expect_size=\"45029376\"] \n  2 -> 5 [size =\"45029376\"]\n  2 -> 7 [size =\"45029376\"]\n  2 -> 9 [size =\"45029376\"]\n  2 -> 11 [size =\"45029376\"]\n  3 [size=\"32122880\", alpha=\"0.06\", expect_size=\"16061440\"] \n  3 -> 6 [size =\"16061440\"]\n  3 -> 7 [size =\"16061440\"]\n  3 -> 8 [size =\"16061440\"]\n  3 -> 9 [size =\"16061440\"]\n  3 -> 10 [size =\"16061440\"]\n  4 [size=\"70197248\", alpha=\"0.05\", expect_size=\"35098624\"] \n  4 -> 6 [size =\"35098624\"]\n  4 -> 7 [size =\"35098624\"]\n  4 -> 8 [size =\"35098624\"]\n  4 -> 11 [size =\"35098624\"]\n  5 [size=\"72345600\", alpha=\"0.14\", expect_size=\"36172800\"] \n  5 -> 12 [size =\"36172800\"]\n  5 -> 13 [size =\"36172800\"]\n  6 [size=\"36655104\", alpha=\"0.05\", expect_size=\"18327552\"] \n  6 -> 13 [size =\"18327552\"]\n  7 [size=\"63969280\", alpha=\"0.13\", expect_size=\"31984640\"] \n  7 -> 13 [size =\"31984640\"]\n  8 [size=\"66848768\", alpha=\"0.15\", expect_size=\"33424384\"] \n  8 -> 13 [size =\"33424384\"]\n  8 -> 14 [size =\"33424384\"]\n  9 [size=\"29032448\", alpha=\"0.00\", expect_size=\"14516224\"] \n  9 -> 12 [size =\"14516224\"]\n  9 -> 14 [size =\"14516224\"]\n  10 [size=\"26114048\", alpha=\"0.16\", expect_size=\"13057024\"] \n  10 -> 12 [size =\"13057024\"]\n  10 -> 13 [size =\"13057024\"]\n  10 -> 14 [size =\"13057024\"]\n  11 [size=\"38078464\", alpha=\"0.10\", expect_size=\"19039232\"] \n  11 -> 12 [size =\"19039232\"]\n  11 -> 14 [size =\"19039232\"]\n  11 -> 14 [size =\"19039232\"]\n  11 -> 15 [size =\"19039232\"]\n  12 [size=\"29175808\", alpha=\"0.16\", expect_size=\"14587904\"] \n  12 -> 16 [size =\"14587904\"]\n  12 -> 17 [size =\"14587904\"]\n  12 -> 18 [size =\"14587904\"]\n  12 -> 19 [size =\"14587904\"]\n  12 -> 20 [size =\"14587904\"]\n  13 [size=\"62994432\", alpha=\"0.07\", expect_size=\"31497216\"] \n  13 -> 17 [size =\"31497216\"]\n  13 -> 18 [size =\"31497216\"]\n  13 -> 19 [size =\"31497216\"]\n  13 -> 19 [size =\"31497216\"]\n  14 [size=\"93659136\", alpha=\"0.17\", expect_size=\"46829568\"] \n  14 -> 16 [size =\"46829568\"]\n  14 -> 20 [size =\"46829568\"]\n  15 [size=\"21231616\", alpha=\"0.12\", expect_size=\"10615808\"] \n  15 -> 17 [size =\"10615808\"]\n  15 -> 20 [size =\"10615808\"]\n  16 [size=\"87707648\", alpha=\"0.06\", expect_size=\"43853824\"] \n  16 -> 22 [size =\"43853824\"]\n  16 -> 24 [size =\"43853824\"]\n  16 -> 25 [size =\"43853824\"]\n  16 -> 26 [size =\"43853824\"]\n  16 -> 30 [size =\"43853824\"]\n  17 [size=\"17993728\", alpha=\"0.09\", expect_size=\"8996864\"] \n  17 -> 21 [size =\"8996864\"]\n  17 -> 22 [size =\"8996864\"]\n  17 -> 23 [size =\"8996864\"]\n  17 -> 27 [size =\"8996864\"]\n  17 -> 28 [size =\"8996864\"]\n  18 [size=\"77654016\", alpha=\"0.13\", expect_size=\"38827008\"] \n  18 -> 27 [size =\"38827008\"]\n  18 -> 29 [size =\"38827008\"]\n  19 [size=\"55291904\", alpha=\"0.00\", expect_size=\"27645952\"] \n  19 -> 23 [size =\"27645952\"]\n  19 -> 26 [size =\"27645952\"]\n  19 -> 27 [size =\"27645952\"]\n  19 -> 29 [size =\"27645952\"]\n  19 -> 30 [size =\"27645952\"]\n  20 [size=\"55904256\", alpha=\"0.19\", expect_size=\"27952128\"] \n  20 -> 24 [size =\"27952128\"]\n  20 -> 30 [size =\"27952128\"]\n  21 [size=\"37980160\", alpha=\"0.11\", expect_size=\"18990080\"] \n  21 -> 31 [size =\"18990080\"]\n  21 -> 32 [size =\"18990080\"]\n  21 -> 33 [size =\"18990080\"]\n  21 -> 35 [size =\"18990080\"]\n  22 [size=\"82876416\", alpha=\"0.00\", expect_size=\"41438208\"] \n  22 -> 31 [size =\"41438208\"]\n  22 -> 37 [size =\"41438208\"]\n  23 [size=\"65169408\", alpha=\"0.14\", expect_size=\"32584704\"] \n  23 -> 31 [size =\"32584704\"]\n  23 -> 36 [size =\"32584704\"]\n  23 -> 37 [size =\"32584704\"]\n  24 [size=\"96632832\", alpha=\"0.20\", expect_size=\"48316416\"] \n  24 -> 31 [size =\"48316416\"]\n  24 -> 33 [size =\"48316416\"]\n  25 [size=\"80216064\", alpha=\"0.19\", expect_size=\"40108032\"] \n  25 -> 35 [size =\"40108032\"]\n  26 [size=\"44230656\", alpha=\"0.04\", expect_size=\"22115328\"] \n  26 -> 32 [size =\"22115328\"]\n  26 -> 33 [size =\"22115328\"]\n  26 -> 34 [size =\"22115328\"]\n  26 -> 36 [size =\"22115328\"]\n  26 -> 37 [size =\"22115328\"]\n  27 [size=\"72099840\", alpha=\"0.00\", expect_size=\"36049920\"] \n  27 -> 32 [size =\"36049920\"]\n  27 -> 33 [size =\"36049920\"]\n  28 [size=\"19408896\", alpha=\"0.09\", expect_size=\"9704448\"] \n  28 -> 32 [size =\"9704448\"]\n  28 -> 33 [size =\"9704448\"]\n  28 -> 35 [size =\"9704448\"]\n  29 [size=\"81963008\", alpha=\"0.01\", expect_size=\"40981504\"] \n  29 -> 31 [size =\"40981504\"]\n  29 -> 33 [size =\"40981504\"]\n  29 -> 35 [size =\"40981504\"]\n  30 [size=\"83316736\", alpha=\"0.16\", expect_size=\"41658368\"] \n  30 -> 33 [size =\"41658368\"]\n  30 -> 35 [size =\"41658368\"]\n  30 -> 35 [size =\"41658368\"]\n  30 -> 37 [size =\"41658368\"]\n  31 [size=\"77901824\", alpha=\"0.17\", expect_size=\"38950912\"] \n  31 -> 39 [size =\"38950912\"]\n  31 -> 41 [size =\"38950912\"]\n  31 -> 43 [size =\"38950912\"]\n  31 -> 45 [size =\"38950912\"]\n  32 [size=\"35416064\", alpha=\"0.03\", expect_size=\"17708032\"] \n  32 -> 39 [size =\"17708032\"]\n  32 -> 41 [size =\"17708032\"]\n  33 [size=\"35436544\", alpha=\"0.19\", expect_size=\"17718272\"] \n  33 -> 38 [size =\"17718272\"]\n  33 -> 41 [size =\"17718272\"]\n  33 -> 42 [size =\"17718272\"]\n  33 -> 44 [size =\"17718272\"]\n  34 [size=\"99596288\", alpha=\"0.13\", expect_size=\"49798144\"] \n  34 -> 38 [size =\"49798144\"]\n  34 -> 40 [size =\"49798144\"]\n  34 -> 42 [size =\"49798144\"]\n  35 [size=\"98869248\", alpha=\"0.09\", expect_size=\"49434624\"] \n  35 -> 38 [size =\"49434624\"]\n  35 -> 39 [size =\"49434624\"]\n  35 -> 46 [size =\"49434624\"]\n  36 [size=\"95113216\", alpha=\"0.02\", expect_size=\"47556608\"] \n  36 -> 39 [size =\"47556608\"]\n  36 -> 40 [size =\"47556608\"]\n  36 -> 42 [size =\"47556608\"]\n  36 -> 46 [size =\"47556608\"]\n  37 [size=\"20125696\", alpha=\"0.16\", expect_size=\"10062848\"] \n  37 -> 39 [size =\"10062848\"]\n  37 -> 41 [size =\"10062848\"]\n  37 -> 42 [size =\"10062848\"]\n  38 [size=\"21766144\", alpha=\"0.05\", expect_size=\"10883072\"] \n  38 -> 48 [size =\"10883072\"]\n  38 -> 48 [size =\"10883072\"]\n  39 [size=\"62025728\", alpha=\"0.02\", expect_size=\"31012864\"] \n  39 -> 47 [size =\"31012864\"]\n  39 -> 49 [size =\"31012864\"]\n  40 [size=\"65081344\", alpha=\"0.10\", expect_size=\"32540672\"] \n  40 -> 47 [size =\"32540672\"]\n  40 -> 49 [size =\"32540672\"]\n  41 [size=\"46561280\", alpha=\"0.03\", expect_size=\"23280640\"] \n  41 -> 47 [size =\"23280640\"]\n  41 -> 48 [size =\"23280640\"]\n  41 -> 49 [size =\"23280640\"]\n  41 -> 50 [size =\"23280640\"]\n  42 [size=\"34058240\", alpha=\"0.12\", expect_size=\"17029120\"] \n  42 -> 49 [size =\"17029120\"]\n  42 -> 50 [size =\"17029120\"]\n  43 [size=\"46262272\", alpha=\"0.13\", expect_size=\"23131136\"] \n  43 -> 50 [size =\"23131136\"]\n  43 -> 50 [size =\"23131136\"]\n  44 [size=\"41310208\", alpha=\"0.11\", expect_size=\"20655104\"] \n  44 -> 48 [size =\"20655104\"]\n  44 -> 49 [size =\"20655104\"]\n  44 -> 50 [size =\"20655104\"]\n  45 [size=\"102379520\", alpha=\"0.05\", expect_size=\"51189760\"] \n  45 -> 48 [size =\"51189760\"]\n  45 -> 49 [size =\"51189760\"]\n  46 [size=\"51470336\", alpha=\"0.05\", expect_size=\"25735168\"] \n  46 -> 47 [size =\"25735168\"]\n  46 -> 48 [size =\"25735168\"]\n  47 [size=\"60180480\", alpha=\"0.19\", expect_size=\"30090240\"] \n  48 [size=\"41646080\", alpha=\"0.14\", expect_size=\"20823040\"] \n  49 [size=\"63033344\", alpha=\"0.05\", expect_size=\"31516672\"] \n  50 [size=\"74780672\", alpha=\"0.11\", expect_size=\"37390336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.404.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165034667\", alpha=\"0.10\", expect_size=\"49510400\"] \n  1 -> 3 [size =\"49510400\"]\n  1 -> 5 [size =\"49510400\"]\n  2 [size=\"136021333\", alpha=\"0.03\", expect_size=\"40806400\"] \n  2 -> 3 [size =\"40806400\"]\n  2 -> 4 [size =\"40806400\"]\n  2 -> 5 [size =\"40806400\"]\n  3 [size=\"158429867\", alpha=\"0.10\", expect_size=\"47528960\"] \n  3 -> 6 [size =\"47528960\"]\n  3 -> 7 [size =\"47528960\"]\n  3 -> 8 [size =\"47528960\"]\n  4 [size=\"71123627\", alpha=\"0.11\", expect_size=\"21337088\"] \n  4 -> 7 [size =\"21337088\"]\n  4 -> 8 [size =\"21337088\"]\n  4 -> 8 [size =\"21337088\"]\n  5 [size=\"31699627\", alpha=\"0.02\", expect_size=\"9509888\"] \n  6 [size=\"63556267\", alpha=\"0.06\", expect_size=\"19066880\"] \n  6 -> 11 [size =\"19066880\"]\n  7 [size=\"111336107\", alpha=\"0.06\", expect_size=\"33400832\"] \n  7 -> 9 [size =\"33400832\"]\n  7 -> 10 [size =\"33400832\"]\n  8 [size=\"23231147\", alpha=\"0.05\", expect_size=\"6969344\"] \n  8 -> 11 [size =\"6969344\"]\n  9 [size=\"111489707\", alpha=\"0.02\", expect_size=\"33446912\"] \n  9 -> 12 [size =\"33446912\"]\n  10 [size=\"118770347\", alpha=\"0.18\", expect_size=\"35631104\"] \n  10 -> 13 [size =\"35631104\"]\n  11 [size=\"98949120\", alpha=\"0.18\", expect_size=\"29684736\"] \n  11 -> 12 [size =\"29684736\"]\n  12 [size=\"21678080\", alpha=\"0.19\", expect_size=\"6503424\"] \n  12 -> 15 [size =\"6503424\"]\n  13 [size=\"48476160\", alpha=\"0.08\", expect_size=\"14542848\"] \n  13 -> 14 [size =\"14542848\"]\n  14 [size=\"125969067\", alpha=\"0.01\", expect_size=\"37790720\"] \n  14 -> 16 [size =\"37790720\"]\n  15 [size=\"56009387\", alpha=\"0.11\", expect_size=\"16802816\"] \n  15 -> 17 [size =\"16802816\"]\n  16 [size=\"68092587\", alpha=\"0.11\", expect_size=\"20427776\"] \n  16 -> 18 [size =\"20427776\"]\n  16 -> 19 [size =\"20427776\"]\n  17 [size=\"118708907\", alpha=\"0.08\", expect_size=\"35612672\"] \n  17 -> 19 [size =\"35612672\"]\n  18 [size=\"169506133\", alpha=\"0.15\", expect_size=\"50851840\"] \n  18 -> 21 [size =\"50851840\"]\n  19 [size=\"53271893\", alpha=\"0.16\", expect_size=\"15981568\"] \n  19 -> 20 [size =\"15981568\"]\n  19 -> 21 [size =\"15981568\"]\n  19 -> 22 [size =\"15981568\"]\n  20 [size=\"71516160\", alpha=\"0.11\", expect_size=\"21454848\"] \n  20 -> 24 [size =\"21454848\"]\n  21 [size=\"52043093\", alpha=\"0.04\", expect_size=\"15612928\"] \n  21 -> 23 [size =\"15612928\"]\n  22 [size=\"33088853\", alpha=\"0.13\", expect_size=\"9926656\"] \n  22 -> 23 [size =\"9926656\"]\n  23 [size=\"27907413\", alpha=\"0.19\", expect_size=\"8372224\"] \n  23 -> 25 [size =\"8372224\"]\n  23 -> 26 [size =\"8372224\"]\n  24 [size=\"88695467\", alpha=\"0.12\", expect_size=\"26608640\"] \n  24 -> 25 [size =\"26608640\"]\n  24 -> 26 [size =\"26608640\"]\n  25 [size=\"98286933\", alpha=\"0.07\", expect_size=\"29486080\"] \n  25 -> 27 [size =\"29486080\"]\n  25 -> 28 [size =\"29486080\"]\n  26 [size=\"31290027\", alpha=\"0.08\", expect_size=\"9387008\"] \n  27 [size=\"116906667\", alpha=\"0.01\", expect_size=\"35072000\"] \n  27 -> 29 [size =\"35072000\"]\n  27 -> 30 [size =\"35072000\"]\n  27 -> 31 [size =\"35072000\"]\n  28 [size=\"24449707\", alpha=\"0.14\", expect_size=\"7334912\"] \n  28 -> 30 [size =\"7334912\"]\n  28 -> 31 [size =\"7334912\"]\n  29 [size=\"145053013\", alpha=\"0.20\", expect_size=\"43515904\"] \n  29 -> 32 [size =\"43515904\"]\n  29 -> 33 [size =\"43515904\"]\n  30 [size=\"115531093\", alpha=\"0.18\", expect_size=\"34659328\"] \n  30 -> 34 [size =\"34659328\"]\n  31 [size=\"43492693\", alpha=\"0.07\", expect_size=\"13047808\"] \n  31 -> 33 [size =\"13047808\"]\n  32 [size=\"76489387\", alpha=\"0.16\", expect_size=\"22946816\"] \n  32 -> 36 [size =\"22946816\"]\n  32 -> 37 [size =\"22946816\"]\n  33 [size=\"18500267\", alpha=\"0.09\", expect_size=\"5550080\"] \n  34 [size=\"167765333\", alpha=\"0.16\", expect_size=\"50329600\"] \n  34 -> 35 [size =\"50329600\"]\n  34 -> 36 [size =\"50329600\"]\n  34 -> 37 [size =\"50329600\"]\n  35 [size=\"106072747\", alpha=\"0.08\", expect_size=\"31821824\"] \n  36 [size=\"162225493\", alpha=\"0.06\", expect_size=\"48667648\"] \n  36 -> 38 [size =\"48667648\"]\n  36 -> 39 [size =\"48667648\"]\n  36 -> 40 [size =\"48667648\"]\n  37 [size=\"67734187\", alpha=\"0.18\", expect_size=\"20320256\"] \n  37 -> 39 [size =\"20320256\"]\n  37 -> 40 [size =\"20320256\"]\n  38 [size=\"73738240\", alpha=\"0.08\", expect_size=\"22121472\"] \n  38 -> 41 [size =\"22121472\"]\n  38 -> 42 [size =\"22121472\"]\n  39 [size=\"28716373\", alpha=\"0.03\", expect_size=\"8614912\"] \n  39 -> 41 [size =\"8614912\"]\n  40 [size=\"26678613\", alpha=\"0.05\", expect_size=\"8003584\"] \n  40 -> 41 [size =\"8003584\"]\n  40 -> 42 [size =\"8003584\"]\n  41 [size=\"168925867\", alpha=\"0.11\", expect_size=\"50677760\"] \n  41 -> 43 [size =\"50677760\"]\n  41 -> 44 [size =\"50677760\"]\n  41 -> 45 [size =\"50677760\"]\n  42 [size=\"65068373\", alpha=\"0.20\", expect_size=\"19520512\"] \n  42 -> 44 [size =\"19520512\"]\n  43 [size=\"33890987\", alpha=\"0.09\", expect_size=\"10167296\"] \n  43 -> 47 [size =\"10167296\"]\n  44 [size=\"106390187\", alpha=\"0.08\", expect_size=\"31917056\"] \n  45 [size=\"76489387\", alpha=\"0.17\", expect_size=\"22946816\"] \n  45 -> 46 [size =\"22946816\"]\n  45 -> 48 [size =\"22946816\"]\n  46 [size=\"140011520\", alpha=\"0.08\", expect_size=\"42003456\"] \n  46 -> 49 [size =\"42003456\"]\n  46 -> 50 [size =\"42003456\"]\n  47 [size=\"32996693\", alpha=\"0.11\", expect_size=\"9899008\"] \n  47 -> 49 [size =\"9899008\"]\n  47 -> 50 [size =\"9899008\"]\n  48 [size=\"171260587\", alpha=\"0.16\", expect_size=\"51378176\"] \n  49 [size=\"77680640\", alpha=\"0.16\", expect_size=\"23304192\"] \n  50 [size=\"102632107\", alpha=\"0.09\", expect_size=\"30789632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.405.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123873280\", alpha=\"0.01\", expect_size=\"49549312\"] \n  1 -> 34 [size =\"49549312\"]\n  1 -> 37 [size =\"49549312\"]\n  1 -> 39 [size =\"49549312\"]\n  1 -> 43 [size =\"49549312\"]\n  1 -> 46 [size =\"49549312\"]\n  1 -> 49 [size =\"49549312\"]\n  2 [size=\"118489600\", alpha=\"0.08\", expect_size=\"47395840\"] \n  2 -> 34 [size =\"47395840\"]\n  2 -> 38 [size =\"47395840\"]\n  2 -> 39 [size =\"47395840\"]\n  2 -> 40 [size =\"47395840\"]\n  2 -> 43 [size =\"47395840\"]\n  2 -> 47 [size =\"47395840\"]\n  2 -> 49 [size =\"47395840\"]\n  3 [size=\"72340480\", alpha=\"0.09\", expect_size=\"28936192\"] \n  3 -> 34 [size =\"28936192\"]\n  3 -> 39 [size =\"28936192\"]\n  3 -> 39 [size =\"28936192\"]\n  3 -> 43 [size =\"28936192\"]\n  3 -> 43 [size =\"28936192\"]\n  3 -> 46 [size =\"28936192\"]\n  4 [size=\"107865600\", alpha=\"0.03\", expect_size=\"43146240\"] \n  4 -> 34 [size =\"43146240\"]\n  4 -> 38 [size =\"43146240\"]\n  4 -> 39 [size =\"43146240\"]\n  4 -> 42 [size =\"43146240\"]\n  4 -> 43 [size =\"43146240\"]\n  4 -> 45 [size =\"43146240\"]\n  4 -> 49 [size =\"43146240\"]\n  5 [size=\"91653120\", alpha=\"0.18\", expect_size=\"36661248\"] \n  5 -> 33 [size =\"36661248\"]\n  5 -> 34 [size =\"36661248\"]\n  5 -> 38 [size =\"36661248\"]\n  5 -> 39 [size =\"36661248\"]\n  5 -> 42 [size =\"36661248\"]\n  5 -> 48 [size =\"36661248\"]\n  5 -> 49 [size =\"36661248\"]\n  6 [size=\"96061440\", alpha=\"0.14\", expect_size=\"38424576\"] \n  6 -> 34 [size =\"38424576\"]\n  6 -> 34 [size =\"38424576\"]\n  6 -> 38 [size =\"38424576\"]\n  6 -> 39 [size =\"38424576\"]\n  6 -> 43 [size =\"38424576\"]\n  6 -> 45 [size =\"38424576\"]\n  6 -> 46 [size =\"38424576\"]\n  6 -> 49 [size =\"38424576\"]\n  7 [size=\"80604160\", alpha=\"0.18\", expect_size=\"32241664\"] \n  7 -> 32 [size =\"32241664\"]\n  7 -> 34 [size =\"32241664\"]\n  7 -> 38 [size =\"32241664\"]\n  7 -> 39 [size =\"32241664\"]\n  7 -> 40 [size =\"32241664\"]\n  8 [size=\"70174720\", alpha=\"0.12\", expect_size=\"28069888\"] \n  8 -> 32 [size =\"28069888\"]\n  8 -> 33 [size =\"28069888\"]\n  8 -> 38 [size =\"28069888\"]\n  8 -> 39 [size =\"28069888\"]\n  8 -> 40 [size =\"28069888\"]\n  8 -> 44 [size =\"28069888\"]\n  8 -> 46 [size =\"28069888\"]\n  9 [size=\"48716800\", alpha=\"0.13\", expect_size=\"19486720\"] \n  9 -> 32 [size =\"19486720\"]\n  9 -> 38 [size =\"19486720\"]\n  9 -> 39 [size =\"19486720\"]\n  9 -> 39 [size =\"19486720\"]\n  9 -> 49 [size =\"19486720\"]\n  10 [size=\"125532160\", alpha=\"0.19\", expect_size=\"50212864\"] \n  10 -> 32 [size =\"50212864\"]\n  10 -> 40 [size =\"50212864\"]\n  10 -> 41 [size =\"50212864\"]\n  10 -> 46 [size =\"50212864\"]\n  10 -> 50 [size =\"50212864\"]\n  11 [size=\"75189760\", alpha=\"0.12\", expect_size=\"30075904\"] \n  11 -> 32 [size =\"30075904\"]\n  11 -> 39 [size =\"30075904\"]\n  11 -> 41 [size =\"30075904\"]\n  11 -> 42 [size =\"30075904\"]\n  11 -> 44 [size =\"30075904\"]\n  12 [size=\"83205120\", alpha=\"0.01\", expect_size=\"33282048\"] \n  12 -> 32 [size =\"33282048\"]\n  12 -> 34 [size =\"33282048\"]\n  12 -> 38 [size =\"33282048\"]\n  12 -> 39 [size =\"33282048\"]\n  12 -> 43 [size =\"33282048\"]\n  12 -> 44 [size =\"33282048\"]\n  12 -> 46 [size =\"33282048\"]\n  13 [size=\"129285120\", alpha=\"0.14\", expect_size=\"51714048\"] \n  13 -> 32 [size =\"51714048\"]\n  13 -> 38 [size =\"51714048\"]\n  13 -> 43 [size =\"51714048\"]\n  13 -> 45 [size =\"51714048\"]\n  13 -> 49 [size =\"51714048\"]\n  14 [size=\"64990720\", alpha=\"0.19\", expect_size=\"25996288\"] \n  14 -> 34 [size =\"25996288\"]\n  14 -> 42 [size =\"25996288\"]\n  14 -> 49 [size =\"25996288\"]\n  15 [size=\"83863040\", alpha=\"0.04\", expect_size=\"33545216\"] \n  15 -> 33 [size =\"33545216\"]\n  15 -> 38 [size =\"33545216\"]\n  15 -> 39 [size =\"33545216\"]\n  15 -> 40 [size =\"33545216\"]\n  15 -> 41 [size =\"33545216\"]\n  15 -> 42 [size =\"33545216\"]\n  16 [size=\"72512000\", alpha=\"0.17\", expect_size=\"29004800\"] \n  16 -> 39 [size =\"29004800\"]\n  16 -> 40 [size =\"29004800\"]\n  16 -> 46 [size =\"29004800\"]\n  16 -> 49 [size =\"29004800\"]\n  17 [size=\"36008960\", alpha=\"0.09\", expect_size=\"14403584\"] \n  17 -> 40 [size =\"14403584\"]\n  17 -> 40 [size =\"14403584\"]\n  17 -> 43 [size =\"14403584\"]\n  17 -> 47 [size =\"14403584\"]\n  17 -> 48 [size =\"14403584\"]\n  18 [size=\"24862720\", alpha=\"0.20\", expect_size=\"9945088\"] \n  18 -> 32 [size =\"9945088\"]\n  18 -> 40 [size =\"9945088\"]\n  18 -> 42 [size =\"9945088\"]\n  18 -> 48 [size =\"9945088\"]\n  19 [size=\"97758720\", alpha=\"0.15\", expect_size=\"39103488\"] \n  19 -> 32 [size =\"39103488\"]\n  19 -> 34 [size =\"39103488\"]\n  19 -> 35 [size =\"39103488\"]\n  19 -> 38 [size =\"39103488\"]\n  19 -> 39 [size =\"39103488\"]\n  19 -> 40 [size =\"39103488\"]\n  19 -> 43 [size =\"39103488\"]\n  19 -> 46 [size =\"39103488\"]\n  20 [size=\"58109440\", alpha=\"0.13\", expect_size=\"23243776\"] \n  20 -> 32 [size =\"23243776\"]\n  20 -> 33 [size =\"23243776\"]\n  20 -> 34 [size =\"23243776\"]\n  20 -> 35 [size =\"23243776\"]\n  20 -> 39 [size =\"23243776\"]\n  20 -> 40 [size =\"23243776\"]\n  20 -> 43 [size =\"23243776\"]\n  20 -> 45 [size =\"23243776\"]\n  20 -> 46 [size =\"23243776\"]\n  20 -> 48 [size =\"23243776\"]\n  21 [size=\"50982400\", alpha=\"0.09\", expect_size=\"20392960\"] \n  21 -> 32 [size =\"20392960\"]\n  21 -> 33 [size =\"20392960\"]\n  21 -> 35 [size =\"20392960\"]\n  21 -> 40 [size =\"20392960\"]\n  21 -> 48 [size =\"20392960\"]\n  22 [size=\"121400320\", alpha=\"0.04\", expect_size=\"48560128\"] \n  22 -> 32 [size =\"48560128\"]\n  22 -> 34 [size =\"48560128\"]\n  22 -> 35 [size =\"48560128\"]\n  22 -> 38 [size =\"48560128\"]\n  22 -> 46 [size =\"48560128\"]\n  23 [size=\"128289280\", alpha=\"0.08\", expect_size=\"51315712\"] \n  23 -> 35 [size =\"51315712\"]\n  23 -> 38 [size =\"51315712\"]\n  23 -> 49 [size =\"51315712\"]\n  24 [size=\"95493120\", alpha=\"0.08\", expect_size=\"38197248\"] \n  24 -> 32 [size =\"38197248\"]\n  24 -> 34 [size =\"38197248\"]\n  24 -> 36 [size =\"38197248\"]\n  24 -> 38 [size =\"38197248\"]\n  25 [size=\"90094080\", alpha=\"0.02\", expect_size=\"36037632\"] \n  25 -> 32 [size =\"36037632\"]\n  25 -> 33 [size =\"36037632\"]\n  25 -> 38 [size =\"36037632\"]\n  25 -> 41 [size =\"36037632\"]\n  25 -> 45 [size =\"36037632\"]\n  26 [size=\"115834880\", alpha=\"0.10\", expect_size=\"46333952\"] \n  26 -> 32 [size =\"46333952\"]\n  26 -> 35 [size =\"46333952\"]\n  26 -> 42 [size =\"46333952\"]\n  26 -> 46 [size =\"46333952\"]\n  27 [size=\"98424320\", alpha=\"0.09\", expect_size=\"39369728\"] \n  27 -> 32 [size =\"39369728\"]\n  27 -> 39 [size =\"39369728\"]\n  27 -> 47 [size =\"39369728\"]\n  28 [size=\"33451520\", alpha=\"0.18\", expect_size=\"13380608\"] \n  28 -> 32 [size =\"13380608\"]\n  28 -> 48 [size =\"13380608\"]\n  28 -> 50 [size =\"13380608\"]\n  29 [size=\"30860800\", alpha=\"0.13\", expect_size=\"12344320\"] \n  29 -> 32 [size =\"12344320\"]\n  29 -> 33 [size =\"12344320\"]\n  29 -> 38 [size =\"12344320\"]\n  29 -> 39 [size =\"12344320\"]\n  29 -> 41 [size =\"12344320\"]\n  29 -> 42 [size =\"12344320\"]\n  29 -> 45 [size =\"12344320\"]\n  29 -> 48 [size =\"12344320\"]\n  30 [size=\"121336320\", alpha=\"0.07\", expect_size=\"48534528\"] \n  30 -> 32 [size =\"48534528\"]\n  30 -> 33 [size =\"48534528\"]\n  30 -> 41 [size =\"48534528\"]\n  31 [size=\"79808000\", alpha=\"0.11\", expect_size=\"31923200\"] \n  31 -> 33 [size =\"31923200\"]\n  31 -> 34 [size =\"31923200\"]\n  31 -> 43 [size =\"31923200\"]\n  31 -> 46 [size =\"31923200\"]\n  32 [size=\"17041920\", alpha=\"0.08\", expect_size=\"6816768\"] \n  33 [size=\"38423040\", alpha=\"0.04\", expect_size=\"15369216\"] \n  34 [size=\"85219840\", alpha=\"0.09\", expect_size=\"34087936\"] \n  35 [size=\"16261120\", alpha=\"0.05\", expect_size=\"6504448\"] \n  36 [size=\"28060160\", alpha=\"0.12\", expect_size=\"11224064\"] \n  37 [size=\"85606400\", alpha=\"0.03\", expect_size=\"34242560\"] \n  38 [size=\"20469760\", alpha=\"0.16\", expect_size=\"8187904\"] \n  39 [size=\"125644800\", alpha=\"0.03\", expect_size=\"50257920\"] \n  40 [size=\"82851840\", alpha=\"0.18\", expect_size=\"33140736\"] \n  41 [size=\"122480640\", alpha=\"0.19\", expect_size=\"48992256\"] \n  42 [size=\"70684160\", alpha=\"0.19\", expect_size=\"28273664\"] \n  43 [size=\"115522560\", alpha=\"0.18\", expect_size=\"46209024\"] \n  44 [size=\"19287040\", alpha=\"0.11\", expect_size=\"7714816\"] \n  45 [size=\"69785600\", alpha=\"0.17\", expect_size=\"27914240\"] \n  46 [size=\"101849600\", alpha=\"0.01\", expect_size=\"40739840\"] \n  47 [size=\"56916480\", alpha=\"0.19\", expect_size=\"22766592\"] \n  48 [size=\"75857920\", alpha=\"0.00\", expect_size=\"30343168\"] \n  49 [size=\"52464640\", alpha=\"0.05\", expect_size=\"20985856\"] \n  50 [size=\"71388160\", alpha=\"0.08\", expect_size=\"28555264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.406.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"174356480\", alpha=\"0.04\", expect_size=\"52306944\"] \n  1 -> 2 [size =\"52306944\"]\n  2 [size=\"147060053\", alpha=\"0.15\", expect_size=\"44118016\"] \n  2 -> 3 [size =\"44118016\"]\n  3 [size=\"162044587\", alpha=\"0.19\", expect_size=\"48613376\"] \n  3 -> 4 [size =\"48613376\"]\n  4 [size=\"63252480\", alpha=\"0.02\", expect_size=\"18975744\"] \n  4 -> 5 [size =\"18975744\"]\n  5 [size=\"42731520\", alpha=\"0.16\", expect_size=\"12819456\"] \n  5 -> 6 [size =\"12819456\"]\n  6 [size=\"70024533\", alpha=\"0.07\", expect_size=\"21007360\"] \n  6 -> 7 [size =\"21007360\"]\n  7 [size=\"127429973\", alpha=\"0.00\", expect_size=\"38228992\"] \n  7 -> 8 [size =\"38228992\"]\n  8 [size=\"160098987\", alpha=\"0.16\", expect_size=\"48029696\"] \n  8 -> 9 [size =\"48029696\"]\n  9 [size=\"121497600\", alpha=\"0.16\", expect_size=\"36449280\"] \n  9 -> 10 [size =\"36449280\"]\n  10 [size=\"114025813\", alpha=\"0.10\", expect_size=\"34207744\"] \n  10 -> 11 [size =\"34207744\"]\n  11 [size=\"33989973\", alpha=\"0.09\", expect_size=\"10196992\"] \n  11 -> 12 [size =\"10196992\"]\n  12 [size=\"68324693\", alpha=\"0.03\", expect_size=\"20497408\"] \n  12 -> 13 [size =\"20497408\"]\n  13 [size=\"26296320\", alpha=\"0.12\", expect_size=\"7888896\"] \n  13 -> 14 [size =\"7888896\"]\n  14 [size=\"17592320\", alpha=\"0.13\", expect_size=\"5277696\"] \n  14 -> 15 [size =\"5277696\"]\n  15 [size=\"32679253\", alpha=\"0.05\", expect_size=\"9803776\"] \n  15 -> 16 [size =\"9803776\"]\n  16 [size=\"158327467\", alpha=\"0.05\", expect_size=\"47498240\"] \n  16 -> 17 [size =\"47498240\"]\n  17 [size=\"55367680\", alpha=\"0.14\", expect_size=\"16610304\"] \n  17 -> 18 [size =\"16610304\"]\n  18 [size=\"57739947\", alpha=\"0.02\", expect_size=\"17321984\"] \n  18 -> 19 [size =\"17321984\"]\n  19 [size=\"29986133\", alpha=\"0.13\", expect_size=\"8995840\"] \n  19 -> 20 [size =\"8995840\"]\n  20 [size=\"154965333\", alpha=\"0.14\", expect_size=\"46489600\"] \n  20 -> 21 [size =\"46489600\"]\n  21 [size=\"78383787\", alpha=\"0.15\", expect_size=\"23515136\"] \n  21 -> 22 [size =\"23515136\"]\n  22 [size=\"151780693\", alpha=\"0.13\", expect_size=\"45534208\"] \n  22 -> 23 [size =\"45534208\"]\n  23 [size=\"20780373\", alpha=\"0.08\", expect_size=\"6234112\"] \n  23 -> 24 [size =\"6234112\"]\n  24 [size=\"117224107\", alpha=\"0.10\", expect_size=\"35167232\"] \n  24 -> 25 [size =\"35167232\"]\n  25 [size=\"64979627\", alpha=\"0.15\", expect_size=\"19493888\"] \n  25 -> 26 [size =\"19493888\"]\n  26 [size=\"101928960\", alpha=\"0.06\", expect_size=\"30578688\"] \n  26 -> 27 [size =\"30578688\"]\n  27 [size=\"142103893\", alpha=\"0.11\", expect_size=\"42631168\"] \n  27 -> 28 [size =\"42631168\"]\n  28 [size=\"97454080\", alpha=\"0.15\", expect_size=\"29236224\"] \n  28 -> 29 [size =\"29236224\"]\n  29 [size=\"112872107\", alpha=\"0.12\", expect_size=\"33861632\"] \n  29 -> 30 [size =\"33861632\"]\n  30 [size=\"61480960\", alpha=\"0.01\", expect_size=\"18444288\"] \n  30 -> 31 [size =\"18444288\"]\n  31 [size=\"174592000\", alpha=\"0.12\", expect_size=\"52377600\"] \n  31 -> 32 [size =\"52377600\"]\n  32 [size=\"137233067\", alpha=\"0.10\", expect_size=\"41169920\"] \n  32 -> 33 [size =\"41169920\"]\n  33 [size=\"78984533\", alpha=\"0.08\", expect_size=\"23695360\"] \n  33 -> 34 [size =\"23695360\"]\n  34 [size=\"144421547\", alpha=\"0.07\", expect_size=\"43326464\"] \n  34 -> 35 [size =\"43326464\"]\n  35 [size=\"64740693\", alpha=\"0.08\", expect_size=\"19422208\"] \n  35 -> 36 [size =\"19422208\"]\n  36 [size=\"22493867\", alpha=\"0.07\", expect_size=\"6748160\"] \n  36 -> 37 [size =\"6748160\"]\n  37 [size=\"70222507\", alpha=\"0.10\", expect_size=\"21066752\"] \n  37 -> 38 [size =\"21066752\"]\n  38 [size=\"160600747\", alpha=\"0.18\", expect_size=\"48180224\"] \n  38 -> 39 [size =\"48180224\"]\n  39 [size=\"121678507\", alpha=\"0.09\", expect_size=\"36503552\"] \n  39 -> 40 [size =\"36503552\"]\n  40 [size=\"57480533\", alpha=\"0.16\", expect_size=\"17244160\"] \n  40 -> 41 [size =\"17244160\"]\n  41 [size=\"64556373\", alpha=\"0.12\", expect_size=\"19366912\"] \n  41 -> 42 [size =\"19366912\"]\n  42 [size=\"159419733\", alpha=\"0.04\", expect_size=\"47825920\"] \n  42 -> 43 [size =\"47825920\"]\n  43 [size=\"78349653\", alpha=\"0.17\", expect_size=\"23504896\"] \n  43 -> 44 [size =\"23504896\"]\n  44 [size=\"144738987\", alpha=\"0.02\", expect_size=\"43421696\"] \n  44 -> 45 [size =\"43421696\"]\n  45 [size=\"44130987\", alpha=\"0.14\", expect_size=\"13239296\"] \n  45 -> 46 [size =\"13239296\"]\n  46 [size=\"106304853\", alpha=\"0.16\", expect_size=\"31891456\"] \n  46 -> 47 [size =\"31891456\"]\n  47 [size=\"157538987\", alpha=\"0.15\", expect_size=\"47261696\"] \n  47 -> 48 [size =\"47261696\"]\n  48 [size=\"78441813\", alpha=\"0.03\", expect_size=\"23532544\"] \n  48 -> 49 [size =\"23532544\"]\n  49 [size=\"66560000\", alpha=\"0.03\", expect_size=\"19968000\"] \n  49 -> 50 [size =\"19968000\"]\n  50 [size=\"134410240\", alpha=\"0.09\", expect_size=\"40323072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.407.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125985280\", alpha=\"0.15\", expect_size=\"50394112\"] \n  1 -> 24 [size =\"50394112\"]\n  1 -> 26 [size =\"50394112\"]\n  1 -> 33 [size =\"50394112\"]\n  1 -> 33 [size =\"50394112\"]\n  1 -> 39 [size =\"50394112\"]\n  1 -> 43 [size =\"50394112\"]\n  1 -> 45 [size =\"50394112\"]\n  1 -> 47 [size =\"50394112\"]\n  1 -> 49 [size =\"50394112\"]\n  2 [size=\"72422400\", alpha=\"0.17\", expect_size=\"28968960\"] \n  2 -> 22 [size =\"28968960\"]\n  2 -> 24 [size =\"28968960\"]\n  2 -> 25 [size =\"28968960\"]\n  2 -> 31 [size =\"28968960\"]\n  2 -> 32 [size =\"28968960\"]\n  2 -> 33 [size =\"28968960\"]\n  2 -> 42 [size =\"28968960\"]\n  2 -> 44 [size =\"28968960\"]\n  2 -> 45 [size =\"28968960\"]\n  2 -> 48 [size =\"28968960\"]\n  3 [size=\"76311040\", alpha=\"0.00\", expect_size=\"30524416\"] \n  3 -> 20 [size =\"30524416\"]\n  3 -> 22 [size =\"30524416\"]\n  3 -> 25 [size =\"30524416\"]\n  3 -> 29 [size =\"30524416\"]\n  3 -> 31 [size =\"30524416\"]\n  3 -> 36 [size =\"30524416\"]\n  3 -> 48 [size =\"30524416\"]\n  4 [size=\"86243840\", alpha=\"0.09\", expect_size=\"34497536\"] \n  4 -> 19 [size =\"34497536\"]\n  4 -> 20 [size =\"34497536\"]\n  4 -> 29 [size =\"34497536\"]\n  4 -> 29 [size =\"34497536\"]\n  4 -> 31 [size =\"34497536\"]\n  4 -> 35 [size =\"34497536\"]\n  4 -> 37 [size =\"34497536\"]\n  4 -> 41 [size =\"34497536\"]\n  4 -> 45 [size =\"34497536\"]\n  5 [size=\"87692800\", alpha=\"0.06\", expect_size=\"35077120\"] \n  5 -> 32 [size =\"35077120\"]\n  5 -> 33 [size =\"35077120\"]\n  5 -> 35 [size =\"35077120\"]\n  5 -> 37 [size =\"35077120\"]\n  5 -> 43 [size =\"35077120\"]\n  5 -> 45 [size =\"35077120\"]\n  5 -> 49 [size =\"35077120\"]\n  6 [size=\"76142080\", alpha=\"0.00\", expect_size=\"30456832\"] \n  6 -> 20 [size =\"30456832\"]\n  6 -> 23 [size =\"30456832\"]\n  6 -> 25 [size =\"30456832\"]\n  6 -> 28 [size =\"30456832\"]\n  6 -> 29 [size =\"30456832\"]\n  6 -> 45 [size =\"30456832\"]\n  7 [size=\"124636160\", alpha=\"0.19\", expect_size=\"49854464\"] \n  7 -> 21 [size =\"49854464\"]\n  7 -> 28 [size =\"49854464\"]\n  7 -> 31 [size =\"49854464\"]\n  7 -> 34 [size =\"49854464\"]\n  7 -> 39 [size =\"49854464\"]\n  7 -> 45 [size =\"49854464\"]\n  8 [size=\"54730240\", alpha=\"0.01\", expect_size=\"21892096\"] \n  8 -> 24 [size =\"21892096\"]\n  8 -> 32 [size =\"21892096\"]\n  8 -> 33 [size =\"21892096\"]\n  8 -> 39 [size =\"21892096\"]\n  9 [size=\"115333120\", alpha=\"0.03\", expect_size=\"46133248\"] \n  9 -> 20 [size =\"46133248\"]\n  9 -> 25 [size =\"46133248\"]\n  9 -> 30 [size =\"46133248\"]\n  9 -> 36 [size =\"46133248\"]\n  9 -> 39 [size =\"46133248\"]\n  10 [size=\"17948160\", alpha=\"0.04\", expect_size=\"7179264\"] \n  10 -> 19 [size =\"7179264\"]\n  10 -> 34 [size =\"7179264\"]\n  10 -> 35 [size =\"7179264\"]\n  10 -> 37 [size =\"7179264\"]\n  10 -> 43 [size =\"7179264\"]\n  11 [size=\"93703680\", alpha=\"0.20\", expect_size=\"37481472\"] \n  11 -> 20 [size =\"37481472\"]\n  11 -> 27 [size =\"37481472\"]\n  11 -> 31 [size =\"37481472\"]\n  11 -> 35 [size =\"37481472\"]\n  11 -> 40 [size =\"37481472\"]\n  11 -> 42 [size =\"37481472\"]\n  11 -> 44 [size =\"37481472\"]\n  12 [size=\"63319040\", alpha=\"0.05\", expect_size=\"25327616\"] \n  12 -> 20 [size =\"25327616\"]\n  12 -> 23 [size =\"25327616\"]\n  12 -> 24 [size =\"25327616\"]\n  12 -> 25 [size =\"25327616\"]\n  12 -> 29 [size =\"25327616\"]\n  12 -> 31 [size =\"25327616\"]\n  12 -> 32 [size =\"25327616\"]\n  12 -> 33 [size =\"25327616\"]\n  12 -> 41 [size =\"25327616\"]\n  12 -> 49 [size =\"25327616\"]\n  13 [size=\"48115200\", alpha=\"0.17\", expect_size=\"19246080\"] \n  13 -> 22 [size =\"19246080\"]\n  13 -> 24 [size =\"19246080\"]\n  13 -> 25 [size =\"19246080\"]\n  13 -> 31 [size =\"19246080\"]\n  13 -> 32 [size =\"19246080\"]\n  13 -> 34 [size =\"19246080\"]\n  13 -> 37 [size =\"19246080\"]\n  13 -> 38 [size =\"19246080\"]\n  13 -> 43 [size =\"19246080\"]\n  13 -> 49 [size =\"19246080\"]\n  13 -> 50 [size =\"19246080\"]\n  14 [size=\"49167360\", alpha=\"0.02\", expect_size=\"19666944\"] \n  14 -> 22 [size =\"19666944\"]\n  14 -> 23 [size =\"19666944\"]\n  14 -> 34 [size =\"19666944\"]\n  14 -> 36 [size =\"19666944\"]\n  14 -> 37 [size =\"19666944\"]\n  14 -> 40 [size =\"19666944\"]\n  14 -> 43 [size =\"19666944\"]\n  14 -> 44 [size =\"19666944\"]\n  14 -> 45 [size =\"19666944\"]\n  14 -> 49 [size =\"19666944\"]\n  15 [size=\"99545600\", alpha=\"0.04\", expect_size=\"39818240\"] \n  15 -> 24 [size =\"39818240\"]\n  15 -> 29 [size =\"39818240\"]\n  15 -> 32 [size =\"39818240\"]\n  15 -> 34 [size =\"39818240\"]\n  15 -> 35 [size =\"39818240\"]\n  15 -> 36 [size =\"39818240\"]\n  15 -> 38 [size =\"39818240\"]\n  15 -> 40 [size =\"39818240\"]\n  15 -> 42 [size =\"39818240\"]\n  15 -> 49 [size =\"39818240\"]\n  16 [size=\"19560960\", alpha=\"0.06\", expect_size=\"7824384\"] \n  16 -> 24 [size =\"7824384\"]\n  16 -> 25 [size =\"7824384\"]\n  16 -> 29 [size =\"7824384\"]\n  16 -> 38 [size =\"7824384\"]\n  16 -> 41 [size =\"7824384\"]\n  16 -> 42 [size =\"7824384\"]\n  16 -> 45 [size =\"7824384\"]\n  16 -> 49 [size =\"7824384\"]\n  17 [size=\"21017600\", alpha=\"0.09\", expect_size=\"8407040\"] \n  17 -> 19 [size =\"8407040\"]\n  17 -> 20 [size =\"8407040\"]\n  17 -> 22 [size =\"8407040\"]\n  17 -> 27 [size =\"8407040\"]\n  17 -> 32 [size =\"8407040\"]\n  17 -> 33 [size =\"8407040\"]\n  17 -> 43 [size =\"8407040\"]\n  17 -> 49 [size =\"8407040\"]\n  18 [size=\"13373440\", alpha=\"0.03\", expect_size=\"5349376\"] \n  18 -> 20 [size =\"5349376\"]\n  18 -> 27 [size =\"5349376\"]\n  18 -> 31 [size =\"5349376\"]\n  18 -> 33 [size =\"5349376\"]\n  18 -> 35 [size =\"5349376\"]\n  18 -> 36 [size =\"5349376\"]\n  18 -> 40 [size =\"5349376\"]\n  18 -> 42 [size =\"5349376\"]\n  18 -> 43 [size =\"5349376\"]\n  18 -> 46 [size =\"5349376\"]\n  18 -> 47 [size =\"5349376\"]\n  18 -> 49 [size =\"5349376\"]\n  19 [size=\"17346560\", alpha=\"0.18\", expect_size=\"6938624\"] \n  20 [size=\"35056640\", alpha=\"0.18\", expect_size=\"14022656\"] \n  21 [size=\"61342720\", alpha=\"0.17\", expect_size=\"24537088\"] \n  22 [size=\"59799040\", alpha=\"0.06\", expect_size=\"23919616\"] \n  23 [size=\"90575360\", alpha=\"0.06\", expect_size=\"36230144\"] \n  24 [size=\"73669120\", alpha=\"0.18\", expect_size=\"29467648\"] \n  25 [size=\"86182400\", alpha=\"0.03\", expect_size=\"34472960\"] \n  26 [size=\"107507200\", alpha=\"0.18\", expect_size=\"43002880\"] \n  27 [size=\"24478720\", alpha=\"0.13\", expect_size=\"9791488\"] \n  28 [size=\"75448320\", alpha=\"0.14\", expect_size=\"30179328\"] \n  29 [size=\"90790400\", alpha=\"0.13\", expect_size=\"36316160\"] \n  30 [size=\"81515520\", alpha=\"0.12\", expect_size=\"32606208\"] \n  31 [size=\"71078400\", alpha=\"0.06\", expect_size=\"28431360\"] \n  32 [size=\"54389760\", alpha=\"0.07\", expect_size=\"21755904\"] \n  33 [size=\"90769920\", alpha=\"0.15\", expect_size=\"36307968\"] \n  34 [size=\"125457920\", alpha=\"0.09\", expect_size=\"50183168\"] \n  35 [size=\"113625600\", alpha=\"0.17\", expect_size=\"45450240\"] \n  36 [size=\"129861120\", alpha=\"0.07\", expect_size=\"51944448\"] \n  37 [size=\"119232000\", alpha=\"0.18\", expect_size=\"47692800\"] \n  38 [size=\"75307520\", alpha=\"0.09\", expect_size=\"30123008\"] \n  39 [size=\"39713280\", alpha=\"0.00\", expect_size=\"15885312\"] \n  40 [size=\"114675200\", alpha=\"0.16\", expect_size=\"45870080\"] \n  41 [size=\"69107200\", alpha=\"0.19\", expect_size=\"27642880\"] \n  42 [size=\"101573120\", alpha=\"0.11\", expect_size=\"40629248\"] \n  43 [size=\"26352640\", alpha=\"0.15\", expect_size=\"10541056\"] \n  44 [size=\"114391040\", alpha=\"0.10\", expect_size=\"45756416\"] \n  45 [size=\"47848960\", alpha=\"0.17\", expect_size=\"19139584\"] \n  46 [size=\"31134720\", alpha=\"0.01\", expect_size=\"12453888\"] \n  47 [size=\"70702080\", alpha=\"0.06\", expect_size=\"28280832\"] \n  48 [size=\"56499200\", alpha=\"0.01\", expect_size=\"22599680\"] \n  49 [size=\"106754560\", alpha=\"0.10\", expect_size=\"42701824\"] \n  50 [size=\"107750400\", alpha=\"0.11\", expect_size=\"43100160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.408.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87427072\", alpha=\"0.13\", expect_size=\"43713536\"] \n  1 -> 6 [size =\"43713536\"]\n  2 [size=\"99336192\", alpha=\"0.07\", expect_size=\"49668096\"] \n  2 -> 5 [size =\"49668096\"]\n  3 [size=\"50180096\", alpha=\"0.05\", expect_size=\"25090048\"] \n  4 [size=\"67201024\", alpha=\"0.11\", expect_size=\"33600512\"] \n  4 -> 5 [size =\"33600512\"]\n  4 -> 6 [size =\"33600512\"]\n  5 [size=\"54167552\", alpha=\"0.11\", expect_size=\"27083776\"] \n  5 -> 8 [size =\"27083776\"]\n  5 -> 9 [size =\"27083776\"]\n  5 -> 10 [size =\"27083776\"]\n  6 [size=\"41091072\", alpha=\"0.13\", expect_size=\"20545536\"] \n  6 -> 7 [size =\"20545536\"]\n  7 [size=\"95397888\", alpha=\"0.04\", expect_size=\"47698944\"] \n  7 -> 11 [size =\"47698944\"]\n  7 -> 12 [size =\"47698944\"]\n  7 -> 13 [size =\"47698944\"]\n  8 [size=\"49629184\", alpha=\"0.13\", expect_size=\"24814592\"] \n  8 -> 13 [size =\"24814592\"]\n  8 -> 14 [size =\"24814592\"]\n  9 [size=\"26152960\", alpha=\"0.14\", expect_size=\"13076480\"] \n  10 [size=\"13662208\", alpha=\"0.01\", expect_size=\"6831104\"] \n  10 -> 11 [size =\"6831104\"]\n  11 [size=\"20826112\", alpha=\"0.08\", expect_size=\"10413056\"] \n  12 [size=\"82268160\", alpha=\"0.12\", expect_size=\"41134080\"] \n  12 -> 15 [size =\"41134080\"]\n  12 -> 17 [size =\"41134080\"]\n  13 [size=\"19941376\", alpha=\"0.10\", expect_size=\"9970688\"] \n  13 -> 16 [size =\"9970688\"]\n  13 -> 17 [size =\"9970688\"]\n  13 -> 18 [size =\"9970688\"]\n  14 [size=\"44660736\", alpha=\"0.02\", expect_size=\"22330368\"] \n  14 -> 16 [size =\"22330368\"]\n  14 -> 18 [size =\"22330368\"]\n  15 [size=\"97779712\", alpha=\"0.18\", expect_size=\"48889856\"] \n  15 -> 19 [size =\"48889856\"]\n  16 [size=\"53645312\", alpha=\"0.13\", expect_size=\"26822656\"] \n  17 [size=\"19537920\", alpha=\"0.14\", expect_size=\"9768960\"] \n  18 [size=\"38522880\", alpha=\"0.07\", expect_size=\"19261440\"] \n  19 [size=\"97972224\", alpha=\"0.03\", expect_size=\"48986112\"] \n  19 -> 20 [size =\"48986112\"]\n  19 -> 21 [size =\"48986112\"]\n  19 -> 22 [size =\"48986112\"]\n  20 [size=\"71493632\", alpha=\"0.03\", expect_size=\"35746816\"] \n  20 -> 23 [size =\"35746816\"]\n  21 [size=\"78495744\", alpha=\"0.00\", expect_size=\"39247872\"] \n  21 -> 24 [size =\"39247872\"]\n  22 [size=\"20008960\", alpha=\"0.16\", expect_size=\"10004480\"] \n  23 [size=\"75413504\", alpha=\"0.00\", expect_size=\"37706752\"] \n  23 -> 25 [size =\"37706752\"]\n  23 -> 26 [size =\"37706752\"]\n  24 [size=\"28254208\", alpha=\"0.16\", expect_size=\"14127104\"] \n  24 -> 27 [size =\"14127104\"]\n  25 [size=\"38387712\", alpha=\"0.02\", expect_size=\"19193856\"] \n  26 [size=\"30908416\", alpha=\"0.13\", expect_size=\"15454208\"] \n  26 -> 28 [size =\"15454208\"]\n  26 -> 29 [size =\"15454208\"]\n  27 [size=\"91774976\", alpha=\"0.03\", expect_size=\"45887488\"] \n  27 -> 28 [size =\"45887488\"]\n  27 -> 30 [size =\"45887488\"]\n  28 [size=\"64698368\", alpha=\"0.01\", expect_size=\"32349184\"] \n  28 -> 31 [size =\"32349184\"]\n  28 -> 33 [size =\"32349184\"]\n  29 [size=\"96258048\", alpha=\"0.03\", expect_size=\"48129024\"] \n  29 -> 31 [size =\"48129024\"]\n  29 -> 32 [size =\"48129024\"]\n  30 [size=\"14882816\", alpha=\"0.05\", expect_size=\"7441408\"] \n  31 [size=\"30552064\", alpha=\"0.09\", expect_size=\"15276032\"] \n  31 -> 34 [size =\"15276032\"]\n  31 -> 35 [size =\"15276032\"]\n  32 [size=\"31465472\", alpha=\"0.09\", expect_size=\"15732736\"] \n  33 [size=\"12103680\", alpha=\"0.11\", expect_size=\"6051840\"] \n  34 [size=\"12158976\", alpha=\"0.19\", expect_size=\"6079488\"] \n  34 -> 38 [size =\"6079488\"]\n  35 [size=\"88350720\", alpha=\"0.07\", expect_size=\"44175360\"] \n  35 -> 36 [size =\"44175360\"]\n  35 -> 37 [size =\"44175360\"]\n  36 [size=\"95617024\", alpha=\"0.03\", expect_size=\"47808512\"] \n  37 [size=\"64565248\", alpha=\"0.02\", expect_size=\"32282624\"] \n  37 -> 39 [size =\"32282624\"]\n  38 [size=\"80107520\", alpha=\"0.06\", expect_size=\"40053760\"] \n  38 -> 39 [size =\"40053760\"]\n  38 -> 40 [size =\"40053760\"]\n  39 [size=\"87019520\", alpha=\"0.09\", expect_size=\"43509760\"] \n  39 -> 41 [size =\"43509760\"]\n  40 [size=\"100964352\", alpha=\"0.05\", expect_size=\"50482176\"] \n  41 [size=\"30752768\", alpha=\"0.15\", expect_size=\"15376384\"] \n  41 -> 42 [size =\"15376384\"]\n  41 -> 43 [size =\"15376384\"]\n  41 -> 44 [size =\"15376384\"]\n  41 -> 45 [size =\"15376384\"]\n  42 [size=\"75468800\", alpha=\"0.07\", expect_size=\"37734400\"] \n  42 -> 47 [size =\"37734400\"]\n  43 [size=\"23779328\", alpha=\"0.13\", expect_size=\"11889664\"] \n  43 -> 47 [size =\"11889664\"]\n  44 [size=\"73883648\", alpha=\"0.03\", expect_size=\"36941824\"] \n  44 -> 46 [size =\"36941824\"]\n  45 [size=\"71215104\", alpha=\"0.18\", expect_size=\"35607552\"] \n  46 [size=\"103065600\", alpha=\"0.18\", expect_size=\"51532800\"] \n  46 -> 48 [size =\"51532800\"]\n  47 [size=\"23853056\", alpha=\"0.16\", expect_size=\"11926528\"] \n  47 -> 49 [size =\"11926528\"]\n  48 [size=\"31373312\", alpha=\"0.04\", expect_size=\"15686656\"] \n  49 [size=\"59295744\", alpha=\"0.11\", expect_size=\"29647872\"] \n  49 -> 50 [size =\"29647872\"]\n  50 [size=\"100732928\", alpha=\"0.19\", expect_size=\"50366464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.409.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29317120\", alpha=\"0.15\", expect_size=\"11726848\"] \n  1 -> 2 [size =\"11726848\"]\n  1 -> 3 [size =\"11726848\"]\n  1 -> 4 [size =\"11726848\"]\n  2 [size=\"112847360\", alpha=\"0.16\", expect_size=\"45138944\"] \n  2 -> 5 [size =\"45138944\"]\n  2 -> 6 [size =\"45138944\"]\n  3 [size=\"57648640\", alpha=\"0.13\", expect_size=\"23059456\"] \n  3 -> 6 [size =\"23059456\"]\n  3 -> 7 [size =\"23059456\"]\n  4 [size=\"105625600\", alpha=\"0.16\", expect_size=\"42250240\"] \n  4 -> 7 [size =\"42250240\"]\n  5 [size=\"114882560\", alpha=\"0.07\", expect_size=\"45953024\"] \n  5 -> 8 [size =\"45953024\"]\n  5 -> 9 [size =\"45953024\"]\n  5 -> 10 [size =\"45953024\"]\n  6 [size=\"56066560\", alpha=\"0.18\", expect_size=\"22426624\"] \n  6 -> 8 [size =\"22426624\"]\n  7 [size=\"91115520\", alpha=\"0.02\", expect_size=\"36446208\"] \n  7 -> 9 [size =\"36446208\"]\n  7 -> 10 [size =\"36446208\"]\n  8 [size=\"53818880\", alpha=\"0.07\", expect_size=\"21527552\"] \n  8 -> 11 [size =\"21527552\"]\n  8 -> 12 [size =\"21527552\"]\n  9 [size=\"119063040\", alpha=\"0.18\", expect_size=\"47625216\"] \n  9 -> 11 [size =\"47625216\"]\n  10 [size=\"34818560\", alpha=\"0.16\", expect_size=\"13927424\"] \n  10 -> 11 [size =\"13927424\"]\n  10 -> 12 [size =\"13927424\"]\n  11 [size=\"30208000\", alpha=\"0.05\", expect_size=\"12083200\"] \n  11 -> 13 [size =\"12083200\"]\n  11 -> 14 [size =\"12083200\"]\n  11 -> 15 [size =\"12083200\"]\n  12 [size=\"119582720\", alpha=\"0.13\", expect_size=\"47833088\"] \n  12 -> 13 [size =\"47833088\"]\n  12 -> 14 [size =\"47833088\"]\n  12 -> 15 [size =\"47833088\"]\n  13 [size=\"95539200\", alpha=\"0.10\", expect_size=\"38215680\"] \n  13 -> 16 [size =\"38215680\"]\n  13 -> 17 [size =\"38215680\"]\n  14 [size=\"54192640\", alpha=\"0.14\", expect_size=\"21677056\"] \n  14 -> 16 [size =\"21677056\"]\n  15 [size=\"29457920\", alpha=\"0.10\", expect_size=\"11783168\"] \n  15 -> 17 [size =\"11783168\"]\n  16 [size=\"72345600\", alpha=\"0.10\", expect_size=\"28938240\"] \n  16 -> 18 [size =\"28938240\"]\n  16 -> 19 [size =\"28938240\"]\n  16 -> 21 [size =\"28938240\"]\n  17 [size=\"61683200\", alpha=\"0.10\", expect_size=\"24673280\"] \n  17 -> 18 [size =\"24673280\"]\n  17 -> 20 [size =\"24673280\"]\n  18 [size=\"71226880\", alpha=\"0.01\", expect_size=\"28490752\"] \n  18 -> 22 [size =\"28490752\"]\n  19 [size=\"110236160\", alpha=\"0.17\", expect_size=\"44094464\"] \n  19 -> 23 [size =\"44094464\"]\n  20 [size=\"98449920\", alpha=\"0.15\", expect_size=\"39379968\"] \n  20 -> 23 [size =\"39379968\"]\n  21 [size=\"72432640\", alpha=\"0.16\", expect_size=\"28973056\"] \n  21 -> 22 [size =\"28973056\"]\n  21 -> 23 [size =\"28973056\"]\n  22 [size=\"99046400\", alpha=\"0.14\", expect_size=\"39618560\"] \n  22 -> 24 [size =\"39618560\"]\n  22 -> 25 [size =\"39618560\"]\n  23 [size=\"60024320\", alpha=\"0.19\", expect_size=\"24009728\"] \n  23 -> 25 [size =\"24009728\"]\n  23 -> 26 [size =\"24009728\"]\n  24 [size=\"118484480\", alpha=\"0.01\", expect_size=\"47393792\"] \n  24 -> 29 [size =\"47393792\"]\n  25 [size=\"85803520\", alpha=\"0.19\", expect_size=\"34321408\"] \n  25 -> 27 [size =\"34321408\"]\n  25 -> 28 [size =\"34321408\"]\n  25 -> 29 [size =\"34321408\"]\n  26 [size=\"24663040\", alpha=\"0.05\", expect_size=\"9865216\"] \n  26 -> 27 [size =\"9865216\"]\n  26 -> 28 [size =\"9865216\"]\n  26 -> 29 [size =\"9865216\"]\n  27 [size=\"85783040\", alpha=\"0.03\", expect_size=\"34313216\"] \n  27 -> 30 [size =\"34313216\"]\n  28 [size=\"25287680\", alpha=\"0.09\", expect_size=\"10115072\"] \n  28 -> 30 [size =\"10115072\"]\n  29 [size=\"28472320\", alpha=\"0.13\", expect_size=\"11388928\"] \n  29 -> 30 [size =\"11388928\"]\n  29 -> 31 [size =\"11388928\"]\n  30 [size=\"128842240\", alpha=\"0.00\", expect_size=\"51536896\"] \n  30 -> 32 [size =\"51536896\"]\n  30 -> 33 [size =\"51536896\"]\n  30 -> 34 [size =\"51536896\"]\n  31 [size=\"100700160\", alpha=\"0.11\", expect_size=\"40280064\"] \n  31 -> 32 [size =\"40280064\"]\n  31 -> 33 [size =\"40280064\"]\n  31 -> 34 [size =\"40280064\"]\n  32 [size=\"78218240\", alpha=\"0.19\", expect_size=\"31287296\"] \n  32 -> 35 [size =\"31287296\"]\n  32 -> 36 [size =\"31287296\"]\n  33 [size=\"43176960\", alpha=\"0.01\", expect_size=\"17270784\"] \n  33 -> 36 [size =\"17270784\"]\n  34 [size=\"40115200\", alpha=\"0.11\", expect_size=\"16046080\"] \n  34 -> 36 [size =\"16046080\"]\n  35 [size=\"43591680\", alpha=\"0.03\", expect_size=\"17436672\"] \n  35 -> 37 [size =\"17436672\"]\n  35 -> 39 [size =\"17436672\"]\n  36 [size=\"37414400\", alpha=\"0.05\", expect_size=\"14965760\"] \n  36 -> 37 [size =\"14965760\"]\n  36 -> 38 [size =\"14965760\"]\n  36 -> 39 [size =\"14965760\"]\n  37 [size=\"64545280\", alpha=\"0.15\", expect_size=\"25818112\"] \n  37 -> 40 [size =\"25818112\"]\n  37 -> 41 [size =\"25818112\"]\n  38 [size=\"85032960\", alpha=\"0.16\", expect_size=\"34013184\"] \n  38 -> 40 [size =\"34013184\"]\n  39 [size=\"21619200\", alpha=\"0.12\", expect_size=\"8647680\"] \n  39 -> 41 [size =\"8647680\"]\n  40 [size=\"98229760\", alpha=\"0.03\", expect_size=\"39291904\"] \n  41 [size=\"100646400\", alpha=\"0.05\", expect_size=\"40258560\"] \n  41 -> 42 [size =\"40258560\"]\n  42 [size=\"45972480\", alpha=\"0.00\", expect_size=\"18388992\"] \n  42 -> 43 [size =\"18388992\"]\n  42 -> 44 [size =\"18388992\"]\n  42 -> 45 [size =\"18388992\"]\n  42 -> 46 [size =\"18388992\"]\n  43 [size=\"40686080\", alpha=\"0.04\", expect_size=\"16274432\"] \n  43 -> 48 [size =\"16274432\"]\n  43 -> 49 [size =\"16274432\"]\n  43 -> 50 [size =\"16274432\"]\n  44 [size=\"49251840\", alpha=\"0.06\", expect_size=\"19700736\"] \n  44 -> 47 [size =\"19700736\"]\n  44 -> 48 [size =\"19700736\"]\n  44 -> 49 [size =\"19700736\"]\n  45 [size=\"112760320\", alpha=\"0.20\", expect_size=\"45104128\"] \n  45 -> 47 [size =\"45104128\"]\n  45 -> 48 [size =\"45104128\"]\n  46 [size=\"129594880\", alpha=\"0.16\", expect_size=\"51837952\"] \n  46 -> 48 [size =\"51837952\"]\n  46 -> 49 [size =\"51837952\"]\n  47 [size=\"41034240\", alpha=\"0.04\", expect_size=\"16413696\"] \n  48 [size=\"13621760\", alpha=\"0.14\", expect_size=\"5448704\"] \n  49 [size=\"105472000\", alpha=\"0.07\", expect_size=\"42188800\"] \n  50 [size=\"59824640\", alpha=\"0.19\", expect_size=\"23929856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93843456\", alpha=\"0.14\", expect_size=\"46921728\"] \n  1 -> 39 [size =\"46921728\"]\n  1 -> 43 [size =\"46921728\"]\n  1 -> 47 [size =\"46921728\"]\n  1 -> 47 [size =\"46921728\"]\n  2 [size=\"54700032\", alpha=\"0.16\", expect_size=\"27350016\"] \n  2 -> 41 [size =\"27350016\"]\n  2 -> 43 [size =\"27350016\"]\n  2 -> 47 [size =\"27350016\"]\n  2 -> 49 [size =\"27350016\"]\n  3 [size=\"59635712\", alpha=\"0.08\", expect_size=\"29817856\"] \n  3 -> 40 [size =\"29817856\"]\n  3 -> 41 [size =\"29817856\"]\n  3 -> 42 [size =\"29817856\"]\n  3 -> 46 [size =\"29817856\"]\n  3 -> 49 [size =\"29817856\"]\n  4 [size=\"59006976\", alpha=\"0.12\", expect_size=\"29503488\"] \n  4 -> 39 [size =\"29503488\"]\n  4 -> 43 [size =\"29503488\"]\n  4 -> 49 [size =\"29503488\"]\n  5 [size=\"84854784\", alpha=\"0.17\", expect_size=\"42427392\"] \n  5 -> 39 [size =\"42427392\"]\n  5 -> 40 [size =\"42427392\"]\n  5 -> 42 [size =\"42427392\"]\n  5 -> 43 [size =\"42427392\"]\n  5 -> 46 [size =\"42427392\"]\n  5 -> 48 [size =\"42427392\"]\n  5 -> 49 [size =\"42427392\"]\n  6 [size=\"84221952\", alpha=\"0.08\", expect_size=\"42110976\"] \n  6 -> 48 [size =\"42110976\"]\n  6 -> 50 [size =\"42110976\"]\n  7 [size=\"100478976\", alpha=\"0.15\", expect_size=\"50239488\"] \n  7 -> 48 [size =\"50239488\"]\n  7 -> 49 [size =\"50239488\"]\n  8 [size=\"68278272\", alpha=\"0.13\", expect_size=\"34139136\"] \n  8 -> 41 [size =\"34139136\"]\n  8 -> 42 [size =\"34139136\"]\n  8 -> 48 [size =\"34139136\"]\n  9 [size=\"32638976\", alpha=\"0.06\", expect_size=\"16319488\"] \n  9 -> 41 [size =\"16319488\"]\n  9 -> 43 [size =\"16319488\"]\n  9 -> 46 [size =\"16319488\"]\n  9 -> 49 [size =\"16319488\"]\n  9 -> 50 [size =\"16319488\"]\n  10 [size=\"87126016\", alpha=\"0.02\", expect_size=\"43563008\"] \n  10 -> 41 [size =\"43563008\"]\n  10 -> 42 [size =\"43563008\"]\n  10 -> 43 [size =\"43563008\"]\n  11 [size=\"91043840\", alpha=\"0.17\", expect_size=\"45521920\"] \n  11 -> 39 [size =\"45521920\"]\n  11 -> 41 [size =\"45521920\"]\n  11 -> 43 [size =\"45521920\"]\n  11 -> 46 [size =\"45521920\"]\n  12 [size=\"63143936\", alpha=\"0.11\", expect_size=\"31571968\"] \n  12 -> 39 [size =\"31571968\"]\n  12 -> 40 [size =\"31571968\"]\n  12 -> 47 [size =\"31571968\"]\n  13 [size=\"46059520\", alpha=\"0.14\", expect_size=\"23029760\"] \n  13 -> 41 [size =\"23029760\"]\n  13 -> 47 [size =\"23029760\"]\n  13 -> 47 [size =\"23029760\"]\n  13 -> 50 [size =\"23029760\"]\n  14 [size=\"82821120\", alpha=\"0.08\", expect_size=\"41410560\"] \n  14 -> 41 [size =\"41410560\"]\n  14 -> 43 [size =\"41410560\"]\n  14 -> 46 [size =\"41410560\"]\n  14 -> 47 [size =\"41410560\"]\n  14 -> 48 [size =\"41410560\"]\n  15 [size=\"43759616\", alpha=\"0.10\", expect_size=\"21879808\"] \n  15 -> 41 [size =\"21879808\"]\n  15 -> 43 [size =\"21879808\"]\n  15 -> 45 [size =\"21879808\"]\n  15 -> 46 [size =\"21879808\"]\n  15 -> 47 [size =\"21879808\"]\n  16 [size=\"27666432\", alpha=\"0.13\", expect_size=\"13833216\"] \n  16 -> 41 [size =\"13833216\"]\n  16 -> 43 [size =\"13833216\"]\n  16 -> 47 [size =\"13833216\"]\n  17 [size=\"67164160\", alpha=\"0.05\", expect_size=\"33582080\"] \n  17 -> 47 [size =\"33582080\"]\n  17 -> 48 [size =\"33582080\"]\n  18 [size=\"42778624\", alpha=\"0.05\", expect_size=\"21389312\"] \n  18 -> 39 [size =\"21389312\"]\n  18 -> 43 [size =\"21389312\"]\n  18 -> 44 [size =\"21389312\"]\n  18 -> 46 [size =\"21389312\"]\n  18 -> 47 [size =\"21389312\"]\n  18 -> 48 [size =\"21389312\"]\n  19 [size=\"102694912\", alpha=\"0.20\", expect_size=\"51347456\"] \n  19 -> 42 [size =\"51347456\"]\n  19 -> 47 [size =\"51347456\"]\n  19 -> 49 [size =\"51347456\"]\n  19 -> 50 [size =\"51347456\"]\n  20 [size=\"37206016\", alpha=\"0.19\", expect_size=\"18603008\"] \n  20 -> 40 [size =\"18603008\"]\n  20 -> 41 [size =\"18603008\"]\n  20 -> 46 [size =\"18603008\"]\n  20 -> 47 [size =\"18603008\"]\n  20 -> 50 [size =\"18603008\"]\n  21 [size=\"46534656\", alpha=\"0.15\", expect_size=\"23267328\"] \n  21 -> 39 [size =\"23267328\"]\n  21 -> 41 [size =\"23267328\"]\n  21 -> 46 [size =\"23267328\"]\n  21 -> 48 [size =\"23267328\"]\n  21 -> 50 [size =\"23267328\"]\n  22 [size=\"31649792\", alpha=\"0.01\", expect_size=\"15824896\"] \n  22 -> 39 [size =\"15824896\"]\n  22 -> 41 [size =\"15824896\"]\n  22 -> 42 [size =\"15824896\"]\n  22 -> 44 [size =\"15824896\"]\n  22 -> 46 [size =\"15824896\"]\n  22 -> 47 [size =\"15824896\"]\n  22 -> 49 [size =\"15824896\"]\n  23 [size=\"85710848\", alpha=\"0.18\", expect_size=\"42855424\"] \n  23 -> 39 [size =\"42855424\"]\n  23 -> 41 [size =\"42855424\"]\n  23 -> 48 [size =\"42855424\"]\n  24 [size=\"55152640\", alpha=\"0.04\", expect_size=\"27576320\"] \n  24 -> 39 [size =\"27576320\"]\n  24 -> 43 [size =\"27576320\"]\n  24 -> 46 [size =\"27576320\"]\n  24 -> 47 [size =\"27576320\"]\n  24 -> 49 [size =\"27576320\"]\n  25 [size=\"91482112\", alpha=\"0.07\", expect_size=\"45741056\"] \n  25 -> 39 [size =\"45741056\"]\n  25 -> 43 [size =\"45741056\"]\n  25 -> 48 [size =\"45741056\"]\n  26 [size=\"42682368\", alpha=\"0.05\", expect_size=\"21341184\"] \n  26 -> 39 [size =\"21341184\"]\n  26 -> 43 [size =\"21341184\"]\n  26 -> 50 [size =\"21341184\"]\n  27 [size=\"102060032\", alpha=\"0.02\", expect_size=\"51030016\"] \n  27 -> 41 [size =\"51030016\"]\n  27 -> 43 [size =\"51030016\"]\n  27 -> 49 [size =\"51030016\"]\n  28 [size=\"29118464\", alpha=\"0.12\", expect_size=\"14559232\"] \n  28 -> 42 [size =\"14559232\"]\n  28 -> 43 [size =\"14559232\"]\n  28 -> 46 [size =\"14559232\"]\n  28 -> 47 [size =\"14559232\"]\n  28 -> 48 [size =\"14559232\"]\n  29 [size=\"51109888\", alpha=\"0.06\", expect_size=\"25554944\"] \n  29 -> 41 [size =\"25554944\"]\n  29 -> 43 [size =\"25554944\"]\n  29 -> 46 [size =\"25554944\"]\n  30 [size=\"49369088\", alpha=\"0.16\", expect_size=\"24684544\"] \n  30 -> 43 [size =\"24684544\"]\n  30 -> 43 [size =\"24684544\"]\n  30 -> 46 [size =\"24684544\"]\n  30 -> 49 [size =\"24684544\"]\n  30 -> 50 [size =\"24684544\"]\n  31 [size=\"42846208\", alpha=\"0.04\", expect_size=\"21423104\"] \n  31 -> 41 [size =\"21423104\"]\n  31 -> 43 [size =\"21423104\"]\n  31 -> 46 [size =\"21423104\"]\n  31 -> 47 [size =\"21423104\"]\n  32 [size=\"20529152\", alpha=\"0.02\", expect_size=\"10264576\"] \n  32 -> 41 [size =\"10264576\"]\n  32 -> 43 [size =\"10264576\"]\n  32 -> 46 [size =\"10264576\"]\n  32 -> 50 [size =\"10264576\"]\n  33 [size=\"26634240\", alpha=\"0.08\", expect_size=\"13317120\"] \n  33 -> 43 [size =\"13317120\"]\n  33 -> 47 [size =\"13317120\"]\n  34 [size=\"15939584\", alpha=\"0.10\", expect_size=\"7969792\"] \n  34 -> 39 [size =\"7969792\"]\n  34 -> 40 [size =\"7969792\"]\n  34 -> 41 [size =\"7969792\"]\n  34 -> 42 [size =\"7969792\"]\n  34 -> 43 [size =\"7969792\"]\n  34 -> 47 [size =\"7969792\"]\n  34 -> 49 [size =\"7969792\"]\n  35 [size=\"36968448\", alpha=\"0.18\", expect_size=\"18484224\"] \n  35 -> 40 [size =\"18484224\"]\n  35 -> 41 [size =\"18484224\"]\n  35 -> 47 [size =\"18484224\"]\n  35 -> 49 [size =\"18484224\"]\n  35 -> 50 [size =\"18484224\"]\n  36 [size=\"69715968\", alpha=\"0.10\", expect_size=\"34857984\"] \n  36 -> 40 [size =\"34857984\"]\n  36 -> 46 [size =\"34857984\"]\n  36 -> 47 [size =\"34857984\"]\n  37 [size=\"93548544\", alpha=\"0.15\", expect_size=\"46774272\"] \n  37 -> 40 [size =\"46774272\"]\n  37 -> 43 [size =\"46774272\"]\n  37 -> 45 [size =\"46774272\"]\n  37 -> 47 [size =\"46774272\"]\n  38 [size=\"104089600\", alpha=\"0.06\", expect_size=\"52044800\"] \n  38 -> 40 [size =\"52044800\"]\n  38 -> 43 [size =\"52044800\"]\n  38 -> 46 [size =\"52044800\"]\n  38 -> 47 [size =\"52044800\"]\n  38 -> 48 [size =\"52044800\"]\n  39 [size=\"64757760\", alpha=\"0.16\", expect_size=\"32378880\"] \n  40 [size=\"92080128\", alpha=\"0.12\", expect_size=\"46040064\"] \n  41 [size=\"73955328\", alpha=\"0.16\", expect_size=\"36977664\"] \n  42 [size=\"90941440\", alpha=\"0.05\", expect_size=\"45470720\"] \n  43 [size=\"101322752\", alpha=\"0.09\", expect_size=\"50661376\"] \n  44 [size=\"46305280\", alpha=\"0.03\", expect_size=\"23152640\"] \n  45 [size=\"92596224\", alpha=\"0.14\", expect_size=\"46298112\"] \n  46 [size=\"84725760\", alpha=\"0.11\", expect_size=\"42362880\"] \n  47 [size=\"39876608\", alpha=\"0.09\", expect_size=\"19938304\"] \n  48 [size=\"14727168\", alpha=\"0.10\", expect_size=\"7363584\"] \n  49 [size=\"41574400\", alpha=\"0.19\", expect_size=\"20787200\"] \n  50 [size=\"23881728\", alpha=\"0.17\", expect_size=\"11940864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.410.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123736747\", alpha=\"0.03\", expect_size=\"37121024\"] \n  1 -> 30 [size =\"37121024\"]\n  1 -> 34 [size =\"37121024\"]\n  1 -> 36 [size =\"37121024\"]\n  1 -> 38 [size =\"37121024\"]\n  1 -> 39 [size =\"37121024\"]\n  1 -> 44 [size =\"37121024\"]\n  1 -> 46 [size =\"37121024\"]\n  1 -> 48 [size =\"37121024\"]\n  2 [size=\"172260693\", alpha=\"0.00\", expect_size=\"51678208\"] \n  2 -> 27 [size =\"51678208\"]\n  2 -> 32 [size =\"51678208\"]\n  2 -> 37 [size =\"51678208\"]\n  2 -> 38 [size =\"51678208\"]\n  2 -> 39 [size =\"51678208\"]\n  2 -> 40 [size =\"51678208\"]\n  2 -> 42 [size =\"51678208\"]\n  2 -> 43 [size =\"51678208\"]\n  2 -> 45 [size =\"51678208\"]\n  3 [size=\"61184000\", alpha=\"0.02\", expect_size=\"18355200\"] \n  3 -> 30 [size =\"18355200\"]\n  3 -> 33 [size =\"18355200\"]\n  3 -> 36 [size =\"18355200\"]\n  3 -> 38 [size =\"18355200\"]\n  3 -> 39 [size =\"18355200\"]\n  3 -> 47 [size =\"18355200\"]\n  4 [size=\"28218027\", alpha=\"0.08\", expect_size=\"8465408\"] \n  4 -> 27 [size =\"8465408\"]\n  4 -> 28 [size =\"8465408\"]\n  4 -> 29 [size =\"8465408\"]\n  4 -> 30 [size =\"8465408\"]\n  4 -> 31 [size =\"8465408\"]\n  4 -> 33 [size =\"8465408\"]\n  4 -> 35 [size =\"8465408\"]\n  4 -> 37 [size =\"8465408\"]\n  4 -> 42 [size =\"8465408\"]\n  4 -> 44 [size =\"8465408\"]\n  4 -> 45 [size =\"8465408\"]\n  4 -> 47 [size =\"8465408\"]\n  5 [size=\"24750080\", alpha=\"0.09\", expect_size=\"7425024\"] \n  5 -> 27 [size =\"7425024\"]\n  5 -> 33 [size =\"7425024\"]\n  5 -> 35 [size =\"7425024\"]\n  5 -> 36 [size =\"7425024\"]\n  5 -> 37 [size =\"7425024\"]\n  5 -> 40 [size =\"7425024\"]\n  5 -> 46 [size =\"7425024\"]\n  5 -> 48 [size =\"7425024\"]\n  6 [size=\"80431787\", alpha=\"0.09\", expect_size=\"24129536\"] \n  6 -> 27 [size =\"24129536\"]\n  6 -> 30 [size =\"24129536\"]\n  6 -> 31 [size =\"24129536\"]\n  6 -> 33 [size =\"24129536\"]\n  6 -> 34 [size =\"24129536\"]\n  6 -> 35 [size =\"24129536\"]\n  6 -> 37 [size =\"24129536\"]\n  6 -> 39 [size =\"24129536\"]\n  6 -> 44 [size =\"24129536\"]\n  6 -> 46 [size =\"24129536\"]\n  6 -> 48 [size =\"24129536\"]\n  7 [size=\"108980907\", alpha=\"0.05\", expect_size=\"32694272\"] \n  7 -> 27 [size =\"32694272\"]\n  7 -> 28 [size =\"32694272\"]\n  7 -> 29 [size =\"32694272\"]\n  7 -> 30 [size =\"32694272\"]\n  7 -> 33 [size =\"32694272\"]\n  7 -> 39 [size =\"32694272\"]\n  7 -> 40 [size =\"32694272\"]\n  7 -> 42 [size =\"32694272\"]\n  7 -> 46 [size =\"32694272\"]\n  7 -> 47 [size =\"32694272\"]\n  7 -> 48 [size =\"32694272\"]\n  8 [size=\"45015040\", alpha=\"0.17\", expect_size=\"13504512\"] \n  8 -> 27 [size =\"13504512\"]\n  8 -> 28 [size =\"13504512\"]\n  8 -> 30 [size =\"13504512\"]\n  8 -> 40 [size =\"13504512\"]\n  8 -> 42 [size =\"13504512\"]\n  8 -> 46 [size =\"13504512\"]\n  8 -> 48 [size =\"13504512\"]\n  9 [size=\"54152533\", alpha=\"0.19\", expect_size=\"16245760\"] \n  9 -> 27 [size =\"16245760\"]\n  9 -> 28 [size =\"16245760\"]\n  9 -> 30 [size =\"16245760\"]\n  9 -> 31 [size =\"16245760\"]\n  9 -> 32 [size =\"16245760\"]\n  9 -> 33 [size =\"16245760\"]\n  9 -> 36 [size =\"16245760\"]\n  9 -> 38 [size =\"16245760\"]\n  9 -> 39 [size =\"16245760\"]\n  9 -> 40 [size =\"16245760\"]\n  9 -> 43 [size =\"16245760\"]\n  9 -> 46 [size =\"16245760\"]\n  10 [size=\"149620053\", alpha=\"0.05\", expect_size=\"44886016\"] \n  10 -> 27 [size =\"44886016\"]\n  10 -> 29 [size =\"44886016\"]\n  10 -> 31 [size =\"44886016\"]\n  10 -> 34 [size =\"44886016\"]\n  10 -> 37 [size =\"44886016\"]\n  10 -> 38 [size =\"44886016\"]\n  10 -> 39 [size =\"44886016\"]\n  10 -> 40 [size =\"44886016\"]\n  10 -> 46 [size =\"44886016\"]\n  10 -> 48 [size =\"44886016\"]\n  11 [size=\"126798507\", alpha=\"0.08\", expect_size=\"38039552\"] \n  11 -> 27 [size =\"38039552\"]\n  11 -> 34 [size =\"38039552\"]\n  11 -> 35 [size =\"38039552\"]\n  11 -> 37 [size =\"38039552\"]\n  11 -> 39 [size =\"38039552\"]\n  11 -> 40 [size =\"38039552\"]\n  11 -> 42 [size =\"38039552\"]\n  11 -> 44 [size =\"38039552\"]\n  11 -> 45 [size =\"38039552\"]\n  11 -> 49 [size =\"38039552\"]\n  12 [size=\"149261653\", alpha=\"0.08\", expect_size=\"44778496\"] \n  12 -> 27 [size =\"44778496\"]\n  12 -> 29 [size =\"44778496\"]\n  12 -> 30 [size =\"44778496\"]\n  12 -> 32 [size =\"44778496\"]\n  12 -> 34 [size =\"44778496\"]\n  12 -> 35 [size =\"44778496\"]\n  12 -> 36 [size =\"44778496\"]\n  12 -> 40 [size =\"44778496\"]\n  12 -> 42 [size =\"44778496\"]\n  12 -> 44 [size =\"44778496\"]\n  12 -> 48 [size =\"44778496\"]\n  13 [size=\"152313173\", alpha=\"0.05\", expect_size=\"45693952\"] \n  13 -> 27 [size =\"45693952\"]\n  13 -> 30 [size =\"45693952\"]\n  13 -> 32 [size =\"45693952\"]\n  13 -> 32 [size =\"45693952\"]\n  13 -> 34 [size =\"45693952\"]\n  13 -> 35 [size =\"45693952\"]\n  13 -> 40 [size =\"45693952\"]\n  13 -> 40 [size =\"45693952\"]\n  13 -> 42 [size =\"45693952\"]\n  13 -> 44 [size =\"45693952\"]\n  13 -> 49 [size =\"45693952\"]\n  14 [size=\"165826560\", alpha=\"0.02\", expect_size=\"49747968\"] \n  14 -> 27 [size =\"49747968\"]\n  14 -> 31 [size =\"49747968\"]\n  14 -> 34 [size =\"49747968\"]\n  14 -> 37 [size =\"49747968\"]\n  14 -> 38 [size =\"49747968\"]\n  14 -> 42 [size =\"49747968\"]\n  14 -> 44 [size =\"49747968\"]\n  14 -> 46 [size =\"49747968\"]\n  14 -> 47 [size =\"49747968\"]\n  14 -> 48 [size =\"49747968\"]\n  15 [size=\"68836693\", alpha=\"0.06\", expect_size=\"20651008\"] \n  15 -> 30 [size =\"20651008\"]\n  15 -> 33 [size =\"20651008\"]\n  15 -> 34 [size =\"20651008\"]\n  15 -> 37 [size =\"20651008\"]\n  15 -> 38 [size =\"20651008\"]\n  15 -> 39 [size =\"20651008\"]\n  15 -> 40 [size =\"20651008\"]\n  15 -> 41 [size =\"20651008\"]\n  15 -> 42 [size =\"20651008\"]\n  15 -> 44 [size =\"20651008\"]\n  15 -> 46 [size =\"20651008\"]\n  15 -> 47 [size =\"20651008\"]\n  15 -> 49 [size =\"20651008\"]\n  16 [size=\"138847573\", alpha=\"0.03\", expect_size=\"41654272\"] \n  16 -> 27 [size =\"41654272\"]\n  16 -> 29 [size =\"41654272\"]\n  16 -> 30 [size =\"41654272\"]\n  16 -> 33 [size =\"41654272\"]\n  16 -> 34 [size =\"41654272\"]\n  16 -> 35 [size =\"41654272\"]\n  16 -> 38 [size =\"41654272\"]\n  16 -> 39 [size =\"41654272\"]\n  16 -> 41 [size =\"41654272\"]\n  16 -> 42 [size =\"41654272\"]\n  16 -> 44 [size =\"41654272\"]\n  17 [size=\"53234347\", alpha=\"0.10\", expect_size=\"15970304\"] \n  17 -> 27 [size =\"15970304\"]\n  17 -> 28 [size =\"15970304\"]\n  17 -> 30 [size =\"15970304\"]\n  17 -> 34 [size =\"15970304\"]\n  17 -> 34 [size =\"15970304\"]\n  17 -> 35 [size =\"15970304\"]\n  17 -> 36 [size =\"15970304\"]\n  17 -> 37 [size =\"15970304\"]\n  17 -> 38 [size =\"15970304\"]\n  17 -> 42 [size =\"15970304\"]\n  17 -> 43 [size =\"15970304\"]\n  17 -> 44 [size =\"15970304\"]\n  17 -> 46 [size =\"15970304\"]\n  17 -> 48 [size =\"15970304\"]\n  17 -> 49 [size =\"15970304\"]\n  18 [size=\"91767467\", alpha=\"0.15\", expect_size=\"27530240\"] \n  18 -> 27 [size =\"27530240\"]\n  18 -> 33 [size =\"27530240\"]\n  18 -> 34 [size =\"27530240\"]\n  18 -> 35 [size =\"27530240\"]\n  18 -> 44 [size =\"27530240\"]\n  19 [size=\"64904533\", alpha=\"0.06\", expect_size=\"19471360\"] \n  19 -> 29 [size =\"19471360\"]\n  19 -> 32 [size =\"19471360\"]\n  19 -> 33 [size =\"19471360\"]\n  19 -> 34 [size =\"19471360\"]\n  19 -> 37 [size =\"19471360\"]\n  19 -> 40 [size =\"19471360\"]\n  19 -> 44 [size =\"19471360\"]\n  19 -> 46 [size =\"19471360\"]\n  19 -> 47 [size =\"19471360\"]\n  20 [size=\"58818560\", alpha=\"0.16\", expect_size=\"17645568\"] \n  20 -> 28 [size =\"17645568\"]\n  20 -> 29 [size =\"17645568\"]\n  20 -> 31 [size =\"17645568\"]\n  20 -> 33 [size =\"17645568\"]\n  20 -> 34 [size =\"17645568\"]\n  20 -> 35 [size =\"17645568\"]\n  20 -> 36 [size =\"17645568\"]\n  20 -> 37 [size =\"17645568\"]\n  20 -> 38 [size =\"17645568\"]\n  20 -> 40 [size =\"17645568\"]\n  20 -> 48 [size =\"17645568\"]\n  21 [size=\"98962773\", alpha=\"0.20\", expect_size=\"29688832\"] \n  21 -> 27 [size =\"29688832\"]\n  21 -> 31 [size =\"29688832\"]\n  21 -> 33 [size =\"29688832\"]\n  21 -> 33 [size =\"29688832\"]\n  21 -> 35 [size =\"29688832\"]\n  21 -> 35 [size =\"29688832\"]\n  21 -> 36 [size =\"29688832\"]\n  21 -> 38 [size =\"29688832\"]\n  21 -> 40 [size =\"29688832\"]\n  21 -> 41 [size =\"29688832\"]\n  21 -> 44 [size =\"29688832\"]\n  21 -> 48 [size =\"29688832\"]\n  21 -> 50 [size =\"29688832\"]\n  22 [size=\"161133227\", alpha=\"0.03\", expect_size=\"48339968\"] \n  22 -> 27 [size =\"48339968\"]\n  22 -> 33 [size =\"48339968\"]\n  22 -> 33 [size =\"48339968\"]\n  22 -> 34 [size =\"48339968\"]\n  22 -> 35 [size =\"48339968\"]\n  22 -> 36 [size =\"48339968\"]\n  22 -> 45 [size =\"48339968\"]\n  22 -> 47 [size =\"48339968\"]\n  22 -> 48 [size =\"48339968\"]\n  23 [size=\"68720640\", alpha=\"0.12\", expect_size=\"20616192\"] \n  23 -> 28 [size =\"20616192\"]\n  23 -> 30 [size =\"20616192\"]\n  23 -> 33 [size =\"20616192\"]\n  23 -> 36 [size =\"20616192\"]\n  23 -> 37 [size =\"20616192\"]\n  23 -> 38 [size =\"20616192\"]\n  23 -> 43 [size =\"20616192\"]\n  23 -> 48 [size =\"20616192\"]\n  24 [size=\"110120960\", alpha=\"0.03\", expect_size=\"33036288\"] \n  24 -> 28 [size =\"33036288\"]\n  24 -> 30 [size =\"33036288\"]\n  24 -> 33 [size =\"33036288\"]\n  24 -> 35 [size =\"33036288\"]\n  24 -> 37 [size =\"33036288\"]\n  24 -> 49 [size =\"33036288\"]\n  25 [size=\"128344747\", alpha=\"0.14\", expect_size=\"38503424\"] \n  25 -> 30 [size =\"38503424\"]\n  25 -> 30 [size =\"38503424\"]\n  25 -> 31 [size =\"38503424\"]\n  25 -> 32 [size =\"38503424\"]\n  25 -> 37 [size =\"38503424\"]\n  25 -> 40 [size =\"38503424\"]\n  25 -> 42 [size =\"38503424\"]\n  25 -> 46 [size =\"38503424\"]\n  25 -> 47 [size =\"38503424\"]\n  25 -> 48 [size =\"38503424\"]\n  26 [size=\"20951040\", alpha=\"0.13\", expect_size=\"6285312\"] \n  26 -> 29 [size =\"6285312\"]\n  26 -> 31 [size =\"6285312\"]\n  26 -> 33 [size =\"6285312\"]\n  26 -> 34 [size =\"6285312\"]\n  26 -> 35 [size =\"6285312\"]\n  26 -> 36 [size =\"6285312\"]\n  26 -> 38 [size =\"6285312\"]\n  26 -> 41 [size =\"6285312\"]\n  26 -> 47 [size =\"6285312\"]\n  26 -> 48 [size =\"6285312\"]\n  27 [size=\"46103893\", alpha=\"0.04\", expect_size=\"13831168\"] \n  28 [size=\"127928320\", alpha=\"0.19\", expect_size=\"38378496\"] \n  29 [size=\"91490987\", alpha=\"0.18\", expect_size=\"27447296\"] \n  30 [size=\"138639360\", alpha=\"0.13\", expect_size=\"41591808\"] \n  31 [size=\"108864853\", alpha=\"0.03\", expect_size=\"32659456\"] \n  32 [size=\"108431360\", alpha=\"0.10\", expect_size=\"32529408\"] \n  33 [size=\"134840320\", alpha=\"0.13\", expect_size=\"40452096\"] \n  34 [size=\"74509653\", alpha=\"0.16\", expect_size=\"22352896\"] \n  35 [size=\"95474347\", alpha=\"0.05\", expect_size=\"28642304\"] \n  36 [size=\"47714987\", alpha=\"0.10\", expect_size=\"14314496\"] \n  37 [size=\"151483733\", alpha=\"0.19\", expect_size=\"45445120\"] \n  38 [size=\"26426027\", alpha=\"0.17\", expect_size=\"7927808\"] \n  39 [size=\"171939840\", alpha=\"0.02\", expect_size=\"51581952\"] \n  40 [size=\"152845653\", alpha=\"0.11\", expect_size=\"45853696\"] \n  41 [size=\"101290667\", alpha=\"0.12\", expect_size=\"30387200\"] \n  42 [size=\"126593707\", alpha=\"0.10\", expect_size=\"37978112\"] \n  43 [size=\"45970773\", alpha=\"0.15\", expect_size=\"13791232\"] \n  44 [size=\"151548587\", alpha=\"0.12\", expect_size=\"45464576\"] \n  45 [size=\"119818240\", alpha=\"0.02\", expect_size=\"35945472\"] \n  46 [size=\"159433387\", alpha=\"0.14\", expect_size=\"47830016\"] \n  47 [size=\"77185707\", alpha=\"0.09\", expect_size=\"23155712\"] \n  48 [size=\"66126507\", alpha=\"0.18\", expect_size=\"19837952\"] \n  49 [size=\"43260587\", alpha=\"0.16\", expect_size=\"12978176\"] \n  50 [size=\"56019627\", alpha=\"0.10\", expect_size=\"16805888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.411.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61149867\", alpha=\"0.00\", expect_size=\"18344960\"] \n  1 -> 24 [size =\"18344960\"]\n  1 -> 25 [size =\"18344960\"]\n  1 -> 26 [size =\"18344960\"]\n  1 -> 29 [size =\"18344960\"]\n  1 -> 31 [size =\"18344960\"]\n  1 -> 36 [size =\"18344960\"]\n  1 -> 36 [size =\"18344960\"]\n  1 -> 37 [size =\"18344960\"]\n  1 -> 42 [size =\"18344960\"]\n  1 -> 44 [size =\"18344960\"]\n  2 [size=\"83848533\", alpha=\"0.02\", expect_size=\"25154560\"] \n  2 -> 24 [size =\"25154560\"]\n  2 -> 27 [size =\"25154560\"]\n  2 -> 31 [size =\"25154560\"]\n  2 -> 32 [size =\"25154560\"]\n  2 -> 34 [size =\"25154560\"]\n  2 -> 36 [size =\"25154560\"]\n  2 -> 38 [size =\"25154560\"]\n  2 -> 40 [size =\"25154560\"]\n  2 -> 45 [size =\"25154560\"]\n  2 -> 50 [size =\"25154560\"]\n  3 [size=\"77950293\", alpha=\"0.02\", expect_size=\"23385088\"] \n  3 -> 24 [size =\"23385088\"]\n  3 -> 25 [size =\"23385088\"]\n  3 -> 36 [size =\"23385088\"]\n  3 -> 40 [size =\"23385088\"]\n  3 -> 45 [size =\"23385088\"]\n  3 -> 47 [size =\"23385088\"]\n  3 -> 49 [size =\"23385088\"]\n  4 [size=\"78342827\", alpha=\"0.10\", expect_size=\"23502848\"] \n  4 -> 24 [size =\"23502848\"]\n  4 -> 25 [size =\"23502848\"]\n  4 -> 27 [size =\"23502848\"]\n  4 -> 31 [size =\"23502848\"]\n  4 -> 32 [size =\"23502848\"]\n  4 -> 34 [size =\"23502848\"]\n  4 -> 36 [size =\"23502848\"]\n  5 [size=\"99812693\", alpha=\"0.16\", expect_size=\"29943808\"] \n  5 -> 25 [size =\"29943808\"]\n  5 -> 28 [size =\"29943808\"]\n  5 -> 37 [size =\"29943808\"]\n  5 -> 38 [size =\"29943808\"]\n  5 -> 50 [size =\"29943808\"]\n  6 [size=\"83821227\", alpha=\"0.05\", expect_size=\"25146368\"] \n  6 -> 24 [size =\"25146368\"]\n  6 -> 25 [size =\"25146368\"]\n  6 -> 28 [size =\"25146368\"]\n  6 -> 31 [size =\"25146368\"]\n  6 -> 34 [size =\"25146368\"]\n  6 -> 38 [size =\"25146368\"]\n  6 -> 42 [size =\"25146368\"]\n  6 -> 44 [size =\"25146368\"]\n  6 -> 50 [size =\"25146368\"]\n  7 [size=\"51807573\", alpha=\"0.13\", expect_size=\"15542272\"] \n  7 -> 24 [size =\"15542272\"]\n  7 -> 28 [size =\"15542272\"]\n  7 -> 28 [size =\"15542272\"]\n  7 -> 29 [size =\"15542272\"]\n  7 -> 31 [size =\"15542272\"]\n  7 -> 36 [size =\"15542272\"]\n  7 -> 38 [size =\"15542272\"]\n  7 -> 39 [size =\"15542272\"]\n  7 -> 42 [size =\"15542272\"]\n  7 -> 47 [size =\"15542272\"]\n  7 -> 49 [size =\"15542272\"]\n  7 -> 50 [size =\"15542272\"]\n  8 [size=\"81592320\", alpha=\"0.16\", expect_size=\"24477696\"] \n  8 -> 27 [size =\"24477696\"]\n  8 -> 28 [size =\"24477696\"]\n  8 -> 31 [size =\"24477696\"]\n  8 -> 33 [size =\"24477696\"]\n  8 -> 34 [size =\"24477696\"]\n  8 -> 36 [size =\"24477696\"]\n  8 -> 38 [size =\"24477696\"]\n  8 -> 44 [size =\"24477696\"]\n  8 -> 47 [size =\"24477696\"]\n  8 -> 50 [size =\"24477696\"]\n  9 [size=\"39690240\", alpha=\"0.13\", expect_size=\"11907072\"] \n  9 -> 28 [size =\"11907072\"]\n  9 -> 29 [size =\"11907072\"]\n  9 -> 39 [size =\"11907072\"]\n  9 -> 41 [size =\"11907072\"]\n  9 -> 50 [size =\"11907072\"]\n  10 [size=\"167557120\", alpha=\"0.13\", expect_size=\"50267136\"] \n  10 -> 25 [size =\"50267136\"]\n  10 -> 27 [size =\"50267136\"]\n  10 -> 28 [size =\"50267136\"]\n  10 -> 29 [size =\"50267136\"]\n  10 -> 30 [size =\"50267136\"]\n  10 -> 31 [size =\"50267136\"]\n  10 -> 32 [size =\"50267136\"]\n  10 -> 33 [size =\"50267136\"]\n  10 -> 36 [size =\"50267136\"]\n  10 -> 37 [size =\"50267136\"]\n  10 -> 39 [size =\"50267136\"]\n  10 -> 41 [size =\"50267136\"]\n  10 -> 44 [size =\"50267136\"]\n  10 -> 47 [size =\"50267136\"]\n  10 -> 50 [size =\"50267136\"]\n  11 [size=\"116981760\", alpha=\"0.08\", expect_size=\"35094528\"] \n  11 -> 24 [size =\"35094528\"]\n  11 -> 28 [size =\"35094528\"]\n  11 -> 30 [size =\"35094528\"]\n  11 -> 36 [size =\"35094528\"]\n  11 -> 37 [size =\"35094528\"]\n  11 -> 39 [size =\"35094528\"]\n  11 -> 45 [size =\"35094528\"]\n  11 -> 50 [size =\"35094528\"]\n  12 [size=\"118196907\", alpha=\"0.03\", expect_size=\"35459072\"] \n  12 -> 25 [size =\"35459072\"]\n  12 -> 28 [size =\"35459072\"]\n  12 -> 30 [size =\"35459072\"]\n  12 -> 33 [size =\"35459072\"]\n  12 -> 38 [size =\"35459072\"]\n  12 -> 50 [size =\"35459072\"]\n  13 [size=\"134806187\", alpha=\"0.13\", expect_size=\"40441856\"] \n  13 -> 27 [size =\"40441856\"]\n  13 -> 28 [size =\"40441856\"]\n  13 -> 40 [size =\"40441856\"]\n  13 -> 42 [size =\"40441856\"]\n  13 -> 47 [size =\"40441856\"]\n  13 -> 50 [size =\"40441856\"]\n  14 [size=\"150568960\", alpha=\"0.16\", expect_size=\"45170688\"] \n  14 -> 24 [size =\"45170688\"]\n  14 -> 27 [size =\"45170688\"]\n  14 -> 29 [size =\"45170688\"]\n  14 -> 34 [size =\"45170688\"]\n  14 -> 45 [size =\"45170688\"]\n  15 [size=\"68976640\", alpha=\"0.19\", expect_size=\"20692992\"] \n  15 -> 25 [size =\"20692992\"]\n  15 -> 31 [size =\"20692992\"]\n  15 -> 32 [size =\"20692992\"]\n  15 -> 34 [size =\"20692992\"]\n  15 -> 38 [size =\"20692992\"]\n  15 -> 46 [size =\"20692992\"]\n  15 -> 50 [size =\"20692992\"]\n  16 [size=\"37754880\", alpha=\"0.13\", expect_size=\"11326464\"] \n  16 -> 24 [size =\"11326464\"]\n  16 -> 25 [size =\"11326464\"]\n  16 -> 28 [size =\"11326464\"]\n  16 -> 32 [size =\"11326464\"]\n  16 -> 33 [size =\"11326464\"]\n  16 -> 34 [size =\"11326464\"]\n  16 -> 36 [size =\"11326464\"]\n  16 -> 39 [size =\"11326464\"]\n  16 -> 48 [size =\"11326464\"]\n  16 -> 49 [size =\"11326464\"]\n  17 [size=\"80390827\", alpha=\"0.02\", expect_size=\"24117248\"] \n  17 -> 24 [size =\"24117248\"]\n  17 -> 27 [size =\"24117248\"]\n  17 -> 28 [size =\"24117248\"]\n  17 -> 29 [size =\"24117248\"]\n  17 -> 30 [size =\"24117248\"]\n  17 -> 32 [size =\"24117248\"]\n  17 -> 34 [size =\"24117248\"]\n  17 -> 38 [size =\"24117248\"]\n  17 -> 46 [size =\"24117248\"]\n  17 -> 49 [size =\"24117248\"]\n  18 [size=\"23859200\", alpha=\"0.16\", expect_size=\"7157760\"] \n  18 -> 25 [size =\"7157760\"]\n  18 -> 29 [size =\"7157760\"]\n  18 -> 34 [size =\"7157760\"]\n  18 -> 36 [size =\"7157760\"]\n  18 -> 50 [size =\"7157760\"]\n  19 [size=\"145855147\", alpha=\"0.14\", expect_size=\"43756544\"] \n  19 -> 24 [size =\"43756544\"]\n  19 -> 25 [size =\"43756544\"]\n  19 -> 29 [size =\"43756544\"]\n  19 -> 30 [size =\"43756544\"]\n  19 -> 31 [size =\"43756544\"]\n  19 -> 37 [size =\"43756544\"]\n  19 -> 39 [size =\"43756544\"]\n  19 -> 43 [size =\"43756544\"]\n  19 -> 44 [size =\"43756544\"]\n  19 -> 45 [size =\"43756544\"]\n  19 -> 46 [size =\"43756544\"]\n  20 [size=\"87910400\", alpha=\"0.09\", expect_size=\"26373120\"] \n  20 -> 25 [size =\"26373120\"]\n  20 -> 25 [size =\"26373120\"]\n  20 -> 29 [size =\"26373120\"]\n  20 -> 33 [size =\"26373120\"]\n  20 -> 37 [size =\"26373120\"]\n  20 -> 42 [size =\"26373120\"]\n  20 -> 43 [size =\"26373120\"]\n  20 -> 46 [size =\"26373120\"]\n  21 [size=\"31143253\", alpha=\"0.09\", expect_size=\"9342976\"] \n  21 -> 29 [size =\"9342976\"]\n  21 -> 36 [size =\"9342976\"]\n  21 -> 37 [size =\"9342976\"]\n  21 -> 43 [size =\"9342976\"]\n  21 -> 45 [size =\"9342976\"]\n  21 -> 46 [size =\"9342976\"]\n  21 -> 47 [size =\"9342976\"]\n  21 -> 50 [size =\"9342976\"]\n  22 [size=\"96491520\", alpha=\"0.17\", expect_size=\"28947456\"] \n  22 -> 24 [size =\"28947456\"]\n  22 -> 28 [size =\"28947456\"]\n  22 -> 31 [size =\"28947456\"]\n  22 -> 35 [size =\"28947456\"]\n  22 -> 36 [size =\"28947456\"]\n  22 -> 37 [size =\"28947456\"]\n  22 -> 39 [size =\"28947456\"]\n  22 -> 45 [size =\"28947456\"]\n  22 -> 46 [size =\"28947456\"]\n  22 -> 49 [size =\"28947456\"]\n  22 -> 50 [size =\"28947456\"]\n  23 [size=\"120104960\", alpha=\"0.13\", expect_size=\"36031488\"] \n  23 -> 24 [size =\"36031488\"]\n  23 -> 27 [size =\"36031488\"]\n  23 -> 30 [size =\"36031488\"]\n  23 -> 31 [size =\"36031488\"]\n  23 -> 33 [size =\"36031488\"]\n  23 -> 35 [size =\"36031488\"]\n  23 -> 36 [size =\"36031488\"]\n  23 -> 37 [size =\"36031488\"]\n  23 -> 42 [size =\"36031488\"]\n  23 -> 43 [size =\"36031488\"]\n  23 -> 44 [size =\"36031488\"]\n  23 -> 46 [size =\"36031488\"]\n  24 [size=\"67362133\", alpha=\"0.17\", expect_size=\"20208640\"] \n  25 [size=\"38014293\", alpha=\"0.12\", expect_size=\"11404288\"] \n  26 [size=\"26405547\", alpha=\"0.15\", expect_size=\"7921664\"] \n  27 [size=\"128037547\", alpha=\"0.02\", expect_size=\"38411264\"] \n  28 [size=\"144404480\", alpha=\"0.17\", expect_size=\"43321344\"] \n  29 [size=\"112732160\", alpha=\"0.15\", expect_size=\"33819648\"] \n  30 [size=\"66484907\", alpha=\"0.13\", expect_size=\"19945472\"] \n  31 [size=\"134304427\", alpha=\"0.02\", expect_size=\"40291328\"] \n  32 [size=\"45298347\", alpha=\"0.05\", expect_size=\"13589504\"] \n  33 [size=\"23121920\", alpha=\"0.03\", expect_size=\"6936576\"] \n  34 [size=\"128252587\", alpha=\"0.17\", expect_size=\"38475776\"] \n  35 [size=\"106987520\", alpha=\"0.18\", expect_size=\"32096256\"] \n  36 [size=\"41663147\", alpha=\"0.02\", expect_size=\"12498944\"] \n  37 [size=\"155907413\", alpha=\"0.14\", expect_size=\"46772224\"] \n  38 [size=\"169482240\", alpha=\"0.06\", expect_size=\"50844672\"] \n  39 [size=\"146507093\", alpha=\"0.15\", expect_size=\"43952128\"] \n  40 [size=\"109189120\", alpha=\"0.13\", expect_size=\"32756736\"] \n  41 [size=\"50333013\", alpha=\"0.12\", expect_size=\"15099904\"] \n  42 [size=\"69440853\", alpha=\"0.02\", expect_size=\"20832256\"] \n  43 [size=\"109950293\", alpha=\"0.05\", expect_size=\"32985088\"] \n  44 [size=\"131904853\", alpha=\"0.14\", expect_size=\"39571456\"] \n  45 [size=\"111114240\", alpha=\"0.05\", expect_size=\"33334272\"] \n  46 [size=\"99085653\", alpha=\"0.18\", expect_size=\"29725696\"] \n  47 [size=\"116090880\", alpha=\"0.05\", expect_size=\"34827264\"] \n  48 [size=\"67764907\", alpha=\"0.08\", expect_size=\"20329472\"] \n  49 [size=\"117777067\", alpha=\"0.03\", expect_size=\"35333120\"] \n  50 [size=\"79933440\", alpha=\"0.04\", expect_size=\"23980032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.412.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117268480\", alpha=\"0.09\", expect_size=\"46907392\"] \n  1 -> 19 [size =\"46907392\"]\n  1 -> 20 [size =\"46907392\"]\n  1 -> 21 [size =\"46907392\"]\n  1 -> 22 [size =\"46907392\"]\n  1 -> 24 [size =\"46907392\"]\n  2 [size=\"96184320\", alpha=\"0.14\", expect_size=\"38473728\"] \n  2 -> 21 [size =\"38473728\"]\n  2 -> 22 [size =\"38473728\"]\n  3 [size=\"87357440\", alpha=\"0.19\", expect_size=\"34942976\"] \n  3 -> 21 [size =\"34942976\"]\n  4 [size=\"24568320\", alpha=\"0.01\", expect_size=\"9827328\"] \n  4 -> 19 [size =\"9827328\"]\n  4 -> 20 [size =\"9827328\"]\n  4 -> 24 [size =\"9827328\"]\n  5 [size=\"34288640\", alpha=\"0.03\", expect_size=\"13715456\"] \n  5 -> 19 [size =\"13715456\"]\n  5 -> 20 [size =\"13715456\"]\n  5 -> 22 [size =\"13715456\"]\n  5 -> 23 [size =\"13715456\"]\n  6 [size=\"26401280\", alpha=\"0.12\", expect_size=\"10560512\"] \n  6 -> 20 [size =\"10560512\"]\n  6 -> 22 [size =\"10560512\"]\n  6 -> 23 [size =\"10560512\"]\n  7 [size=\"21114880\", alpha=\"0.04\", expect_size=\"8445952\"] \n  7 -> 19 [size =\"8445952\"]\n  7 -> 21 [size =\"8445952\"]\n  7 -> 23 [size =\"8445952\"]\n  8 [size=\"102809600\", alpha=\"0.17\", expect_size=\"41123840\"] \n  8 -> 19 [size =\"41123840\"]\n  8 -> 20 [size =\"41123840\"]\n  9 [size=\"54195200\", alpha=\"0.10\", expect_size=\"21678080\"] \n  9 -> 19 [size =\"21678080\"]\n  10 [size=\"22438400\", alpha=\"0.08\", expect_size=\"8975360\"] \n  10 -> 20 [size =\"8975360\"]\n  10 -> 22 [size =\"8975360\"]\n  10 -> 25 [size =\"8975360\"]\n  11 [size=\"13539840\", alpha=\"0.05\", expect_size=\"5415936\"] \n  11 -> 19 [size =\"5415936\"]\n  11 -> 20 [size =\"5415936\"]\n  11 -> 22 [size =\"5415936\"]\n  12 [size=\"68541440\", alpha=\"0.05\", expect_size=\"27416576\"] \n  12 -> 25 [size =\"27416576\"]\n  13 [size=\"32622080\", alpha=\"0.20\", expect_size=\"13048832\"] \n  13 -> 20 [size =\"13048832\"]\n  13 -> 21 [size =\"13048832\"]\n  13 -> 25 [size =\"13048832\"]\n  14 [size=\"28528640\", alpha=\"0.10\", expect_size=\"11411456\"] \n  14 -> 19 [size =\"11411456\"]\n  14 -> 23 [size =\"11411456\"]\n  14 -> 25 [size =\"11411456\"]\n  15 [size=\"34293760\", alpha=\"0.10\", expect_size=\"13717504\"] \n  15 -> 20 [size =\"13717504\"]\n  15 -> 23 [size =\"13717504\"]\n  16 [size=\"49231360\", alpha=\"0.07\", expect_size=\"19692544\"] \n  16 -> 21 [size =\"19692544\"]\n  16 -> 22 [size =\"19692544\"]\n  17 [size=\"118912000\", alpha=\"0.01\", expect_size=\"47564800\"] \n  17 -> 23 [size =\"47564800\"]\n  18 [size=\"22520320\", alpha=\"0.03\", expect_size=\"9008128\"] \n  18 -> 19 [size =\"9008128\"]\n  18 -> 21 [size =\"9008128\"]\n  19 [size=\"120796160\", alpha=\"0.15\", expect_size=\"48318464\"] \n  19 -> 30 [size =\"48318464\"]\n  19 -> 31 [size =\"48318464\"]\n  19 -> 33 [size =\"48318464\"]\n  19 -> 35 [size =\"48318464\"]\n  19 -> 36 [size =\"48318464\"]\n  19 -> 37 [size =\"48318464\"]\n  19 -> 43 [size =\"48318464\"]\n  20 [size=\"61657600\", alpha=\"0.07\", expect_size=\"24663040\"] \n  20 -> 29 [size =\"24663040\"]\n  20 -> 32 [size =\"24663040\"]\n  20 -> 34 [size =\"24663040\"]\n  20 -> 35 [size =\"24663040\"]\n  20 -> 36 [size =\"24663040\"]\n  20 -> 44 [size =\"24663040\"]\n  21 [size=\"107591680\", alpha=\"0.18\", expect_size=\"43036672\"] \n  21 -> 27 [size =\"43036672\"]\n  21 -> 28 [size =\"43036672\"]\n  21 -> 34 [size =\"43036672\"]\n  21 -> 35 [size =\"43036672\"]\n  21 -> 38 [size =\"43036672\"]\n  21 -> 44 [size =\"43036672\"]\n  22 [size=\"20556800\", alpha=\"0.02\", expect_size=\"8222720\"] \n  22 -> 29 [size =\"8222720\"]\n  22 -> 30 [size =\"8222720\"]\n  22 -> 32 [size =\"8222720\"]\n  22 -> 34 [size =\"8222720\"]\n  22 -> 38 [size =\"8222720\"]\n  22 -> 39 [size =\"8222720\"]\n  22 -> 40 [size =\"8222720\"]\n  22 -> 41 [size =\"8222720\"]\n  23 [size=\"52221440\", alpha=\"0.19\", expect_size=\"20888576\"] \n  23 -> 26 [size =\"20888576\"]\n  23 -> 27 [size =\"20888576\"]\n  23 -> 28 [size =\"20888576\"]\n  23 -> 30 [size =\"20888576\"]\n  23 -> 41 [size =\"20888576\"]\n  23 -> 43 [size =\"20888576\"]\n  23 -> 45 [size =\"20888576\"]\n  24 [size=\"51261440\", alpha=\"0.18\", expect_size=\"20504576\"] \n  24 -> 26 [size =\"20504576\"]\n  24 -> 37 [size =\"20504576\"]\n  24 -> 42 [size =\"20504576\"]\n  24 -> 43 [size =\"20504576\"]\n  25 [size=\"111833600\", alpha=\"0.20\", expect_size=\"44733440\"] \n  25 -> 28 [size =\"44733440\"]\n  25 -> 29 [size =\"44733440\"]\n  25 -> 36 [size =\"44733440\"]\n  25 -> 37 [size =\"44733440\"]\n  25 -> 38 [size =\"44733440\"]\n  25 -> 39 [size =\"44733440\"]\n  25 -> 41 [size =\"44733440\"]\n  25 -> 43 [size =\"44733440\"]\n  26 [size=\"50654720\", alpha=\"0.05\", expect_size=\"20261888\"] \n  26 -> 47 [size =\"20261888\"]\n  26 -> 48 [size =\"20261888\"]\n  27 [size=\"93711360\", alpha=\"0.11\", expect_size=\"37484544\"] \n  27 -> 47 [size =\"37484544\"]\n  27 -> 48 [size =\"37484544\"]\n  28 [size=\"98334720\", alpha=\"0.12\", expect_size=\"39333888\"] \n  28 -> 47 [size =\"39333888\"]\n  28 -> 48 [size =\"39333888\"]\n  29 [size=\"113497600\", alpha=\"0.20\", expect_size=\"45399040\"] \n  29 -> 47 [size =\"45399040\"]\n  29 -> 48 [size =\"45399040\"]\n  30 [size=\"83312640\", alpha=\"0.10\", expect_size=\"33325056\"] \n  30 -> 48 [size =\"33325056\"]\n  30 -> 48 [size =\"33325056\"]\n  31 [size=\"126999040\", alpha=\"0.20\", expect_size=\"50799616\"] \n  31 -> 47 [size =\"50799616\"]\n  31 -> 49 [size =\"50799616\"]\n  32 [size=\"112788480\", alpha=\"0.19\", expect_size=\"45115392\"] \n  32 -> 47 [size =\"45115392\"]\n  33 [size=\"123763200\", alpha=\"0.01\", expect_size=\"49505280\"] \n  33 -> 50 [size =\"49505280\"]\n  34 [size=\"116203520\", alpha=\"0.06\", expect_size=\"46481408\"] \n  34 -> 49 [size =\"46481408\"]\n  35 [size=\"101575680\", alpha=\"0.15\", expect_size=\"40630272\"] \n  35 -> 46 [size =\"40630272\"]\n  35 -> 47 [size =\"40630272\"]\n  36 [size=\"101063680\", alpha=\"0.10\", expect_size=\"40425472\"] \n  36 -> 49 [size =\"40425472\"]\n  37 [size=\"127961600\", alpha=\"0.03\", expect_size=\"51184640\"] \n  37 -> 48 [size =\"51184640\"]\n  38 [size=\"72312320\", alpha=\"0.17\", expect_size=\"28924928\"] \n  39 [size=\"23823360\", alpha=\"0.10\", expect_size=\"9529344\"] \n  39 -> 47 [size =\"9529344\"]\n  39 -> 49 [size =\"9529344\"]\n  39 -> 50 [size =\"9529344\"]\n  40 [size=\"23582720\", alpha=\"0.11\", expect_size=\"9433088\"] \n  41 [size=\"80919040\", alpha=\"0.08\", expect_size=\"32367616\"] \n  41 -> 48 [size =\"32367616\"]\n  42 [size=\"78307840\", alpha=\"0.06\", expect_size=\"31323136\"] \n  42 -> 46 [size =\"31323136\"]\n  43 [size=\"71180800\", alpha=\"0.11\", expect_size=\"28472320\"] \n  43 -> 48 [size =\"28472320\"]\n  44 [size=\"79055360\", alpha=\"0.02\", expect_size=\"31622144\"] \n  44 -> 47 [size =\"31622144\"]\n  45 [size=\"117355520\", alpha=\"0.10\", expect_size=\"46942208\"] \n  45 -> 47 [size =\"46942208\"]\n  45 -> 49 [size =\"46942208\"]\n  46 [size=\"89300480\", alpha=\"0.05\", expect_size=\"35720192\"] \n  47 [size=\"31016960\", alpha=\"0.13\", expect_size=\"12406784\"] \n  48 [size=\"48307200\", alpha=\"0.15\", expect_size=\"19322880\"] \n  49 [size=\"32624640\", alpha=\"0.15\", expect_size=\"13049856\"] \n  50 [size=\"91655680\", alpha=\"0.06\", expect_size=\"36662272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.413.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71471104\", alpha=\"0.03\", expect_size=\"35735552\"] \n  1 -> 2 [size =\"35735552\"]\n  2 [size=\"12259328\", alpha=\"0.05\", expect_size=\"6129664\"] \n  2 -> 3 [size =\"6129664\"]\n  3 [size=\"75466752\", alpha=\"0.17\", expect_size=\"37733376\"] \n  3 -> 4 [size =\"37733376\"]\n  4 [size=\"48005120\", alpha=\"0.07\", expect_size=\"24002560\"] \n  4 -> 5 [size =\"24002560\"]\n  5 [size=\"83058688\", alpha=\"0.08\", expect_size=\"41529344\"] \n  5 -> 6 [size =\"41529344\"]\n  6 [size=\"42881024\", alpha=\"0.14\", expect_size=\"21440512\"] \n  6 -> 7 [size =\"21440512\"]\n  7 [size=\"88375296\", alpha=\"0.05\", expect_size=\"44187648\"] \n  7 -> 8 [size =\"44187648\"]\n  8 [size=\"42455040\", alpha=\"0.13\", expect_size=\"21227520\"] \n  8 -> 9 [size =\"21227520\"]\n  9 [size=\"97257472\", alpha=\"0.01\", expect_size=\"48628736\"] \n  9 -> 10 [size =\"48628736\"]\n  10 [size=\"93904896\", alpha=\"0.09\", expect_size=\"46952448\"] \n  10 -> 11 [size =\"46952448\"]\n  11 [size=\"33509376\", alpha=\"0.11\", expect_size=\"16754688\"] \n  11 -> 12 [size =\"16754688\"]\n  12 [size=\"48924672\", alpha=\"0.16\", expect_size=\"24462336\"] \n  12 -> 13 [size =\"24462336\"]\n  13 [size=\"73449472\", alpha=\"0.09\", expect_size=\"36724736\"] \n  13 -> 14 [size =\"36724736\"]\n  14 [size=\"61153280\", alpha=\"0.10\", expect_size=\"30576640\"] \n  14 -> 15 [size =\"30576640\"]\n  15 [size=\"91971584\", alpha=\"0.11\", expect_size=\"45985792\"] \n  15 -> 16 [size =\"45985792\"]\n  16 [size=\"33818624\", alpha=\"0.15\", expect_size=\"16909312\"] \n  16 -> 17 [size =\"16909312\"]\n  17 [size=\"99510272\", alpha=\"0.20\", expect_size=\"49755136\"] \n  17 -> 18 [size =\"49755136\"]\n  18 [size=\"27346944\", alpha=\"0.08\", expect_size=\"13673472\"] \n  18 -> 19 [size =\"13673472\"]\n  19 [size=\"88133632\", alpha=\"0.16\", expect_size=\"44066816\"] \n  19 -> 20 [size =\"44066816\"]\n  20 [size=\"91826176\", alpha=\"0.12\", expect_size=\"45913088\"] \n  20 -> 21 [size =\"45913088\"]\n  21 [size=\"40570880\", alpha=\"0.01\", expect_size=\"20285440\"] \n  21 -> 22 [size =\"20285440\"]\n  22 [size=\"91992064\", alpha=\"0.10\", expect_size=\"45996032\"] \n  22 -> 23 [size =\"45996032\"]\n  23 [size=\"71987200\", alpha=\"0.13\", expect_size=\"35993600\"] \n  23 -> 24 [size =\"35993600\"]\n  24 [size=\"20559872\", alpha=\"0.04\", expect_size=\"10279936\"] \n  24 -> 25 [size =\"10279936\"]\n  25 [size=\"66549760\", alpha=\"0.11\", expect_size=\"33274880\"] \n  25 -> 26 [size =\"33274880\"]\n  26 [size=\"23713792\", alpha=\"0.04\", expect_size=\"11856896\"] \n  26 -> 27 [size =\"11856896\"]\n  27 [size=\"94357504\", alpha=\"0.14\", expect_size=\"47178752\"] \n  27 -> 28 [size =\"47178752\"]\n  28 [size=\"92145664\", alpha=\"0.10\", expect_size=\"46072832\"] \n  28 -> 29 [size =\"46072832\"]\n  29 [size=\"34983936\", alpha=\"0.05\", expect_size=\"17491968\"] \n  29 -> 30 [size =\"17491968\"]\n  30 [size=\"16326656\", alpha=\"0.18\", expect_size=\"8163328\"] \n  30 -> 31 [size =\"8163328\"]\n  31 [size=\"73134080\", alpha=\"0.15\", expect_size=\"36567040\"] \n  31 -> 32 [size =\"36567040\"]\n  32 [size=\"77649920\", alpha=\"0.01\", expect_size=\"38824960\"] \n  32 -> 33 [size =\"38824960\"]\n  33 [size=\"31649792\", alpha=\"0.20\", expect_size=\"15824896\"] \n  33 -> 34 [size =\"15824896\"]\n  34 [size=\"94486528\", alpha=\"0.10\", expect_size=\"47243264\"] \n  34 -> 35 [size =\"47243264\"]\n  35 [size=\"20563968\", alpha=\"0.17\", expect_size=\"10281984\"] \n  35 -> 36 [size =\"10281984\"]\n  36 [size=\"71200768\", alpha=\"0.09\", expect_size=\"35600384\"] \n  36 -> 37 [size =\"35600384\"]\n  37 [size=\"90050560\", alpha=\"0.19\", expect_size=\"45025280\"] \n  37 -> 38 [size =\"45025280\"]\n  38 [size=\"60631040\", alpha=\"0.14\", expect_size=\"30315520\"] \n  38 -> 39 [size =\"30315520\"]\n  39 [size=\"14911488\", alpha=\"0.05\", expect_size=\"7455744\"] \n  39 -> 40 [size =\"7455744\"]\n  40 [size=\"39669760\", alpha=\"0.13\", expect_size=\"19834880\"] \n  40 -> 41 [size =\"19834880\"]\n  41 [size=\"29577216\", alpha=\"0.07\", expect_size=\"14788608\"] \n  41 -> 42 [size =\"14788608\"]\n  42 [size=\"102035456\", alpha=\"0.19\", expect_size=\"51017728\"] \n  42 -> 43 [size =\"51017728\"]\n  43 [size=\"12363776\", alpha=\"0.04\", expect_size=\"6181888\"] \n  43 -> 44 [size =\"6181888\"]\n  44 [size=\"12277760\", alpha=\"0.11\", expect_size=\"6138880\"] \n  44 -> 45 [size =\"6138880\"]\n  45 [size=\"58068992\", alpha=\"0.09\", expect_size=\"29034496\"] \n  45 -> 46 [size =\"29034496\"]\n  46 [size=\"42483712\", alpha=\"0.11\", expect_size=\"21241856\"] \n  46 -> 47 [size =\"21241856\"]\n  47 [size=\"83226624\", alpha=\"0.10\", expect_size=\"41613312\"] \n  47 -> 48 [size =\"41613312\"]\n  48 [size=\"80578560\", alpha=\"0.07\", expect_size=\"40289280\"] \n  48 -> 49 [size =\"40289280\"]\n  49 [size=\"51402752\", alpha=\"0.09\", expect_size=\"25701376\"] \n  49 -> 50 [size =\"25701376\"]\n  50 [size=\"73349120\", alpha=\"0.12\", expect_size=\"36674560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.414.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71659520\", alpha=\"0.14\", expect_size=\"21497856\"] \n  1 -> 9 [size =\"21497856\"]\n  2 [size=\"49117867\", alpha=\"0.08\", expect_size=\"14735360\"] \n  2 -> 9 [size =\"14735360\"]\n  2 -> 10 [size =\"14735360\"]\n  2 -> 11 [size =\"14735360\"]\n  3 [size=\"171427840\", alpha=\"0.16\", expect_size=\"51428352\"] \n  3 -> 9 [size =\"51428352\"]\n  3 -> 10 [size =\"51428352\"]\n  3 -> 12 [size =\"51428352\"]\n  4 [size=\"105949867\", alpha=\"0.12\", expect_size=\"31784960\"] \n  4 -> 8 [size =\"31784960\"]\n  4 -> 12 [size =\"31784960\"]\n  4 -> 13 [size =\"31784960\"]\n  5 [size=\"147787093\", alpha=\"0.16\", expect_size=\"44336128\"] \n  5 -> 7 [size =\"44336128\"]\n  5 -> 11 [size =\"44336128\"]\n  5 -> 13 [size =\"44336128\"]\n  6 [size=\"161163947\", alpha=\"0.03\", expect_size=\"48349184\"] \n  6 -> 7 [size =\"48349184\"]\n  7 [size=\"153197227\", alpha=\"0.08\", expect_size=\"45959168\"] \n  7 -> 14 [size =\"45959168\"]\n  7 -> 18 [size =\"45959168\"]\n  8 [size=\"98669227\", alpha=\"0.16\", expect_size=\"29600768\"] \n  8 -> 14 [size =\"29600768\"]\n  8 -> 15 [size =\"29600768\"]\n  8 -> 16 [size =\"29600768\"]\n  9 [size=\"97440427\", alpha=\"0.13\", expect_size=\"29232128\"] \n  9 -> 18 [size =\"29232128\"]\n  10 [size=\"95993173\", alpha=\"0.06\", expect_size=\"28797952\"] \n  10 -> 15 [size =\"28797952\"]\n  10 -> 16 [size =\"28797952\"]\n  10 -> 17 [size =\"28797952\"]\n  11 [size=\"171281067\", alpha=\"0.20\", expect_size=\"51384320\"] \n  11 -> 15 [size =\"51384320\"]\n  11 -> 16 [size =\"51384320\"]\n  11 -> 18 [size =\"51384320\"]\n  12 [size=\"122719573\", alpha=\"0.17\", expect_size=\"36815872\"] \n  12 -> 15 [size =\"36815872\"]\n  12 -> 16 [size =\"36815872\"]\n  12 -> 19 [size =\"36815872\"]\n  13 [size=\"30515200\", alpha=\"0.04\", expect_size=\"9154560\"] \n  13 -> 14 [size =\"9154560\"]\n  14 [size=\"152616960\", alpha=\"0.10\", expect_size=\"45785088\"] \n  14 -> 26 [size =\"45785088\"]\n  15 [size=\"88483840\", alpha=\"0.08\", expect_size=\"26545152\"] \n  15 -> 22 [size =\"26545152\"]\n  15 -> 24 [size =\"26545152\"]\n  15 -> 25 [size =\"26545152\"]\n  15 -> 26 [size =\"26545152\"]\n  16 [size=\"56231253\", alpha=\"0.10\", expect_size=\"16869376\"] \n  16 -> 20 [size =\"16869376\"]\n  16 -> 23 [size =\"16869376\"]\n  16 -> 26 [size =\"16869376\"]\n  17 [size=\"79578453\", alpha=\"0.00\", expect_size=\"23873536\"] \n  17 -> 21 [size =\"23873536\"]\n  17 -> 24 [size =\"23873536\"]\n  18 [size=\"145322667\", alpha=\"0.14\", expect_size=\"43596800\"] \n  18 -> 20 [size =\"43596800\"]\n  18 -> 21 [size =\"43596800\"]\n  19 [size=\"114138453\", alpha=\"0.13\", expect_size=\"34241536\"] \n  19 -> 20 [size =\"34241536\"]\n  19 -> 23 [size =\"34241536\"]\n  20 [size=\"59112107\", alpha=\"0.05\", expect_size=\"17733632\"] \n  20 -> 28 [size =\"17733632\"]\n  20 -> 32 [size =\"17733632\"]\n  21 [size=\"104161280\", alpha=\"0.05\", expect_size=\"31248384\"] \n  21 -> 27 [size =\"31248384\"]\n  21 -> 29 [size =\"31248384\"]\n  21 -> 32 [size =\"31248384\"]\n  22 [size=\"103325013\", alpha=\"0.08\", expect_size=\"30997504\"] \n  22 -> 28 [size =\"30997504\"]\n  22 -> 30 [size =\"30997504\"]\n  22 -> 31 [size =\"30997504\"]\n  22 -> 33 [size =\"30997504\"]\n  23 [size=\"83435520\", alpha=\"0.11\", expect_size=\"25030656\"] \n  23 -> 27 [size =\"25030656\"]\n  23 -> 28 [size =\"25030656\"]\n  23 -> 30 [size =\"25030656\"]\n  24 [size=\"112882347\", alpha=\"0.06\", expect_size=\"33864704\"] \n  24 -> 29 [size =\"33864704\"]\n  24 -> 31 [size =\"33864704\"]\n  24 -> 33 [size =\"33864704\"]\n  25 [size=\"31389013\", alpha=\"0.16\", expect_size=\"9416704\"] \n  25 -> 27 [size =\"9416704\"]\n  25 -> 29 [size =\"9416704\"]\n  25 -> 31 [size =\"9416704\"]\n  25 -> 33 [size =\"9416704\"]\n  26 [size=\"95682560\", alpha=\"0.05\", expect_size=\"28704768\"] \n  26 -> 30 [size =\"28704768\"]\n  27 [size=\"171550720\", alpha=\"0.12\", expect_size=\"51465216\"] \n  27 -> 34 [size =\"51465216\"]\n  27 -> 35 [size =\"51465216\"]\n  28 [size=\"172240213\", alpha=\"0.09\", expect_size=\"51672064\"] \n  28 -> 35 [size =\"51672064\"]\n  28 -> 38 [size =\"51672064\"]\n  29 [size=\"127948800\", alpha=\"0.15\", expect_size=\"38384640\"] \n  29 -> 37 [size =\"38384640\"]\n  29 -> 38 [size =\"38384640\"]\n  29 -> 40 [size =\"38384640\"]\n  30 [size=\"71755093\", alpha=\"0.12\", expect_size=\"21526528\"] \n  30 -> 34 [size =\"21526528\"]\n  30 -> 40 [size =\"21526528\"]\n  31 [size=\"114090667\", alpha=\"0.09\", expect_size=\"34227200\"] \n  31 -> 34 [size =\"34227200\"]\n  31 -> 36 [size =\"34227200\"]\n  31 -> 39 [size =\"34227200\"]\n  32 [size=\"151859200\", alpha=\"0.18\", expect_size=\"45557760\"] \n  32 -> 37 [size =\"45557760\"]\n  32 -> 38 [size =\"45557760\"]\n  33 [size=\"59412480\", alpha=\"0.10\", expect_size=\"17823744\"] \n  33 -> 35 [size =\"17823744\"]\n  33 -> 40 [size =\"17823744\"]\n  34 [size=\"147998720\", alpha=\"0.19\", expect_size=\"44399616\"] \n  34 -> 41 [size =\"44399616\"]\n  34 -> 43 [size =\"44399616\"]\n  34 -> 47 [size =\"44399616\"]\n  35 [size=\"34225493\", alpha=\"0.16\", expect_size=\"10267648\"] \n  35 -> 41 [size =\"10267648\"]\n  35 -> 46 [size =\"10267648\"]\n  36 [size=\"162979840\", alpha=\"0.19\", expect_size=\"48893952\"] \n  36 -> 42 [size =\"48893952\"]\n  36 -> 45 [size =\"48893952\"]\n  37 [size=\"48814080\", alpha=\"0.09\", expect_size=\"14644224\"] \n  38 [size=\"142015147\", alpha=\"0.16\", expect_size=\"42604544\"] \n  38 -> 44 [size =\"42604544\"]\n  38 -> 45 [size =\"42604544\"]\n  38 -> 46 [size =\"42604544\"]\n  39 [size=\"51920213\", alpha=\"0.15\", expect_size=\"15576064\"] \n  40 [size=\"173073067\", alpha=\"0.19\", expect_size=\"51921920\"] \n  40 -> 41 [size =\"51921920\"]\n  40 -> 44 [size =\"51921920\"]\n  41 [size=\"112131413\", alpha=\"0.15\", expect_size=\"33639424\"] \n  42 [size=\"22900053\", alpha=\"0.01\", expect_size=\"6870016\"] \n  43 [size=\"167915520\", alpha=\"0.16\", expect_size=\"50374656\"] \n  43 -> 48 [size =\"50374656\"]\n  43 -> 50 [size =\"50374656\"]\n  44 [size=\"88350720\", alpha=\"0.02\", expect_size=\"26505216\"] \n  45 [size=\"76639573\", alpha=\"0.11\", expect_size=\"22991872\"] \n  45 -> 49 [size =\"22991872\"]\n  45 -> 50 [size =\"22991872\"]\n  46 [size=\"46506667\", alpha=\"0.09\", expect_size=\"13952000\"] \n  47 [size=\"36703573\", alpha=\"0.08\", expect_size=\"11011072\"] \n  47 -> 49 [size =\"11011072\"]\n  47 -> 50 [size =\"11011072\"]\n  48 [size=\"109332480\", alpha=\"0.05\", expect_size=\"32799744\"] \n  49 [size=\"77670400\", alpha=\"0.17\", expect_size=\"23301120\"] \n  50 [size=\"38376107\", alpha=\"0.16\", expect_size=\"11512832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.415.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68458496\", alpha=\"0.06\", expect_size=\"34229248\"] \n  1 -> 33 [size =\"34229248\"]\n  1 -> 36 [size =\"34229248\"]\n  1 -> 37 [size =\"34229248\"]\n  1 -> 38 [size =\"34229248\"]\n  1 -> 39 [size =\"34229248\"]\n  1 -> 48 [size =\"34229248\"]\n  1 -> 49 [size =\"34229248\"]\n  2 [size=\"44441600\", alpha=\"0.17\", expect_size=\"22220800\"] \n  2 -> 33 [size =\"22220800\"]\n  2 -> 34 [size =\"22220800\"]\n  2 -> 36 [size =\"22220800\"]\n  2 -> 37 [size =\"22220800\"]\n  2 -> 39 [size =\"22220800\"]\n  2 -> 41 [size =\"22220800\"]\n  3 [size=\"34564096\", alpha=\"0.04\", expect_size=\"17282048\"] \n  3 -> 33 [size =\"17282048\"]\n  3 -> 34 [size =\"17282048\"]\n  3 -> 35 [size =\"17282048\"]\n  3 -> 38 [size =\"17282048\"]\n  3 -> 41 [size =\"17282048\"]\n  3 -> 48 [size =\"17282048\"]\n  3 -> 49 [size =\"17282048\"]\n  4 [size=\"74647552\", alpha=\"0.01\", expect_size=\"37323776\"] \n  4 -> 33 [size =\"37323776\"]\n  4 -> 34 [size =\"37323776\"]\n  4 -> 35 [size =\"37323776\"]\n  4 -> 48 [size =\"37323776\"]\n  4 -> 49 [size =\"37323776\"]\n  4 -> 50 [size =\"37323776\"]\n  5 [size=\"99692544\", alpha=\"0.16\", expect_size=\"49846272\"] \n  5 -> 35 [size =\"49846272\"]\n  5 -> 36 [size =\"49846272\"]\n  5 -> 37 [size =\"49846272\"]\n  5 -> 43 [size =\"49846272\"]\n  5 -> 48 [size =\"49846272\"]\n  6 [size=\"90265600\", alpha=\"0.01\", expect_size=\"45132800\"] \n  6 -> 33 [size =\"45132800\"]\n  6 -> 35 [size =\"45132800\"]\n  6 -> 42 [size =\"45132800\"]\n  7 [size=\"60862464\", alpha=\"0.08\", expect_size=\"30431232\"] \n  7 -> 35 [size =\"30431232\"]\n  7 -> 35 [size =\"30431232\"]\n  7 -> 42 [size =\"30431232\"]\n  7 -> 45 [size =\"30431232\"]\n  7 -> 48 [size =\"30431232\"]\n  8 [size=\"11712512\", alpha=\"0.02\", expect_size=\"5856256\"] \n  8 -> 33 [size =\"5856256\"]\n  8 -> 35 [size =\"5856256\"]\n  8 -> 36 [size =\"5856256\"]\n  8 -> 39 [size =\"5856256\"]\n  8 -> 42 [size =\"5856256\"]\n  8 -> 48 [size =\"5856256\"]\n  9 [size=\"102580224\", alpha=\"0.04\", expect_size=\"51290112\"] \n  9 -> 36 [size =\"51290112\"]\n  9 -> 42 [size =\"51290112\"]\n  9 -> 46 [size =\"51290112\"]\n  9 -> 47 [size =\"51290112\"]\n  9 -> 48 [size =\"51290112\"]\n  9 -> 49 [size =\"51290112\"]\n  10 [size=\"51877888\", alpha=\"0.13\", expect_size=\"25938944\"] \n  10 -> 34 [size =\"25938944\"]\n  10 -> 37 [size =\"25938944\"]\n  10 -> 40 [size =\"25938944\"]\n  10 -> 44 [size =\"25938944\"]\n  10 -> 48 [size =\"25938944\"]\n  10 -> 49 [size =\"25938944\"]\n  10 -> 50 [size =\"25938944\"]\n  11 [size=\"26228736\", alpha=\"0.09\", expect_size=\"13114368\"] \n  11 -> 33 [size =\"13114368\"]\n  11 -> 34 [size =\"13114368\"]\n  11 -> 35 [size =\"13114368\"]\n  11 -> 41 [size =\"13114368\"]\n  11 -> 44 [size =\"13114368\"]\n  11 -> 45 [size =\"13114368\"]\n  11 -> 47 [size =\"13114368\"]\n  11 -> 48 [size =\"13114368\"]\n  12 [size=\"53526528\", alpha=\"0.13\", expect_size=\"26763264\"] \n  12 -> 33 [size =\"26763264\"]\n  12 -> 34 [size =\"26763264\"]\n  12 -> 35 [size =\"26763264\"]\n  12 -> 36 [size =\"26763264\"]\n  12 -> 39 [size =\"26763264\"]\n  12 -> 42 [size =\"26763264\"]\n  12 -> 44 [size =\"26763264\"]\n  12 -> 49 [size =\"26763264\"]\n  13 [size=\"40280064\", alpha=\"0.13\", expect_size=\"20140032\"] \n  13 -> 33 [size =\"20140032\"]\n  13 -> 34 [size =\"20140032\"]\n  13 -> 35 [size =\"20140032\"]\n  13 -> 36 [size =\"20140032\"]\n  13 -> 37 [size =\"20140032\"]\n  13 -> 39 [size =\"20140032\"]\n  13 -> 43 [size =\"20140032\"]\n  13 -> 44 [size =\"20140032\"]\n  13 -> 49 [size =\"20140032\"]\n  14 [size=\"60571648\", alpha=\"0.14\", expect_size=\"30285824\"] \n  14 -> 34 [size =\"30285824\"]\n  14 -> 35 [size =\"30285824\"]\n  14 -> 41 [size =\"30285824\"]\n  14 -> 42 [size =\"30285824\"]\n  14 -> 44 [size =\"30285824\"]\n  15 [size=\"66596864\", alpha=\"0.18\", expect_size=\"33298432\"] \n  15 -> 37 [size =\"33298432\"]\n  15 -> 39 [size =\"33298432\"]\n  15 -> 42 [size =\"33298432\"]\n  15 -> 44 [size =\"33298432\"]\n  15 -> 49 [size =\"33298432\"]\n  15 -> 50 [size =\"33298432\"]\n  16 [size=\"49156096\", alpha=\"0.15\", expect_size=\"24578048\"] \n  16 -> 33 [size =\"24578048\"]\n  16 -> 34 [size =\"24578048\"]\n  16 -> 39 [size =\"24578048\"]\n  16 -> 45 [size =\"24578048\"]\n  16 -> 49 [size =\"24578048\"]\n  17 [size=\"55863296\", alpha=\"0.12\", expect_size=\"27931648\"] \n  17 -> 35 [size =\"27931648\"]\n  17 -> 37 [size =\"27931648\"]\n  17 -> 39 [size =\"27931648\"]\n  18 [size=\"93214720\", alpha=\"0.17\", expect_size=\"46607360\"] \n  18 -> 34 [size =\"46607360\"]\n  18 -> 37 [size =\"46607360\"]\n  18 -> 38 [size =\"46607360\"]\n  18 -> 39 [size =\"46607360\"]\n  18 -> 43 [size =\"46607360\"]\n  18 -> 44 [size =\"46607360\"]\n  18 -> 45 [size =\"46607360\"]\n  18 -> 47 [size =\"46607360\"]\n  18 -> 49 [size =\"46607360\"]\n  19 [size=\"100546560\", alpha=\"0.19\", expect_size=\"50273280\"] \n  19 -> 34 [size =\"50273280\"]\n  19 -> 35 [size =\"50273280\"]\n  19 -> 39 [size =\"50273280\"]\n  19 -> 41 [size =\"50273280\"]\n  19 -> 45 [size =\"50273280\"]\n  20 [size=\"23689216\", alpha=\"0.10\", expect_size=\"11844608\"] \n  20 -> 33 [size =\"11844608\"]\n  20 -> 34 [size =\"11844608\"]\n  20 -> 36 [size =\"11844608\"]\n  20 -> 38 [size =\"11844608\"]\n  20 -> 41 [size =\"11844608\"]\n  20 -> 44 [size =\"11844608\"]\n  20 -> 47 [size =\"11844608\"]\n  20 -> 48 [size =\"11844608\"]\n  21 [size=\"84344832\", alpha=\"0.13\", expect_size=\"42172416\"] \n  21 -> 33 [size =\"42172416\"]\n  21 -> 34 [size =\"42172416\"]\n  21 -> 35 [size =\"42172416\"]\n  21 -> 36 [size =\"42172416\"]\n  21 -> 38 [size =\"42172416\"]\n  21 -> 39 [size =\"42172416\"]\n  21 -> 48 [size =\"42172416\"]\n  21 -> 49 [size =\"42172416\"]\n  22 [size=\"32380928\", alpha=\"0.03\", expect_size=\"16190464\"] \n  22 -> 37 [size =\"16190464\"]\n  22 -> 39 [size =\"16190464\"]\n  22 -> 43 [size =\"16190464\"]\n  22 -> 48 [size =\"16190464\"]\n  22 -> 49 [size =\"16190464\"]\n  23 [size=\"95240192\", alpha=\"0.19\", expect_size=\"47620096\"] \n  23 -> 33 [size =\"47620096\"]\n  23 -> 35 [size =\"47620096\"]\n  23 -> 37 [size =\"47620096\"]\n  23 -> 38 [size =\"47620096\"]\n  23 -> 41 [size =\"47620096\"]\n  23 -> 48 [size =\"47620096\"]\n  23 -> 49 [size =\"47620096\"]\n  24 [size=\"59854848\", alpha=\"0.08\", expect_size=\"29927424\"] \n  24 -> 33 [size =\"29927424\"]\n  24 -> 35 [size =\"29927424\"]\n  24 -> 36 [size =\"29927424\"]\n  24 -> 37 [size =\"29927424\"]\n  24 -> 40 [size =\"29927424\"]\n  24 -> 41 [size =\"29927424\"]\n  24 -> 42 [size =\"29927424\"]\n  25 [size=\"31897600\", alpha=\"0.16\", expect_size=\"15948800\"] \n  25 -> 35 [size =\"15948800\"]\n  25 -> 36 [size =\"15948800\"]\n  25 -> 37 [size =\"15948800\"]\n  25 -> 37 [size =\"15948800\"]\n  25 -> 39 [size =\"15948800\"]\n  25 -> 45 [size =\"15948800\"]\n  26 [size=\"21624832\", alpha=\"0.01\", expect_size=\"10812416\"] \n  26 -> 35 [size =\"10812416\"]\n  26 -> 36 [size =\"10812416\"]\n  26 -> 39 [size =\"10812416\"]\n  26 -> 40 [size =\"10812416\"]\n  26 -> 42 [size =\"10812416\"]\n  26 -> 43 [size =\"10812416\"]\n  26 -> 45 [size =\"10812416\"]\n  26 -> 46 [size =\"10812416\"]\n  26 -> 48 [size =\"10812416\"]\n  27 [size=\"93265920\", alpha=\"0.17\", expect_size=\"46632960\"] \n  27 -> 34 [size =\"46632960\"]\n  27 -> 35 [size =\"46632960\"]\n  27 -> 36 [size =\"46632960\"]\n  27 -> 37 [size =\"46632960\"]\n  27 -> 39 [size =\"46632960\"]\n  27 -> 41 [size =\"46632960\"]\n  27 -> 45 [size =\"46632960\"]\n  27 -> 49 [size =\"46632960\"]\n  27 -> 50 [size =\"46632960\"]\n  28 [size=\"54646784\", alpha=\"0.12\", expect_size=\"27323392\"] \n  28 -> 34 [size =\"27323392\"]\n  28 -> 37 [size =\"27323392\"]\n  28 -> 41 [size =\"27323392\"]\n  28 -> 42 [size =\"27323392\"]\n  28 -> 44 [size =\"27323392\"]\n  29 [size=\"39856128\", alpha=\"0.08\", expect_size=\"19928064\"] \n  29 -> 33 [size =\"19928064\"]\n  29 -> 39 [size =\"19928064\"]\n  29 -> 45 [size =\"19928064\"]\n  29 -> 48 [size =\"19928064\"]\n  30 [size=\"34140160\", alpha=\"0.12\", expect_size=\"17070080\"] \n  30 -> 34 [size =\"17070080\"]\n  30 -> 36 [size =\"17070080\"]\n  30 -> 37 [size =\"17070080\"]\n  30 -> 39 [size =\"17070080\"]\n  30 -> 43 [size =\"17070080\"]\n  30 -> 45 [size =\"17070080\"]\n  30 -> 49 [size =\"17070080\"]\n  31 [size=\"80003072\", alpha=\"0.19\", expect_size=\"40001536\"] \n  31 -> 34 [size =\"40001536\"]\n  31 -> 35 [size =\"40001536\"]\n  31 -> 36 [size =\"40001536\"]\n  31 -> 37 [size =\"40001536\"]\n  31 -> 43 [size =\"40001536\"]\n  31 -> 44 [size =\"40001536\"]\n  31 -> 47 [size =\"40001536\"]\n  31 -> 48 [size =\"40001536\"]\n  32 [size=\"46675968\", alpha=\"0.16\", expect_size=\"23337984\"] \n  32 -> 33 [size =\"23337984\"]\n  32 -> 36 [size =\"23337984\"]\n  32 -> 36 [size =\"23337984\"]\n  32 -> 37 [size =\"23337984\"]\n  32 -> 48 [size =\"23337984\"]\n  33 [size=\"62486528\", alpha=\"0.19\", expect_size=\"31243264\"] \n  34 [size=\"57141248\", alpha=\"0.13\", expect_size=\"28570624\"] \n  35 [size=\"94803968\", alpha=\"0.18\", expect_size=\"47401984\"] \n  36 [size=\"75939840\", alpha=\"0.12\", expect_size=\"37969920\"] \n  37 [size=\"80328704\", alpha=\"0.15\", expect_size=\"40164352\"] \n  38 [size=\"63977472\", alpha=\"0.16\", expect_size=\"31988736\"] \n  39 [size=\"28112896\", alpha=\"0.15\", expect_size=\"14056448\"] \n  40 [size=\"64829440\", alpha=\"0.18\", expect_size=\"32414720\"] \n  41 [size=\"26775552\", alpha=\"0.16\", expect_size=\"13387776\"] \n  42 [size=\"24070144\", alpha=\"0.19\", expect_size=\"12035072\"] \n  43 [size=\"99753984\", alpha=\"0.00\", expect_size=\"49876992\"] \n  44 [size=\"94879744\", alpha=\"0.12\", expect_size=\"47439872\"] \n  45 [size=\"59535360\", alpha=\"0.08\", expect_size=\"29767680\"] \n  46 [size=\"49827840\", alpha=\"0.06\", expect_size=\"24913920\"] \n  47 [size=\"104431616\", alpha=\"0.02\", expect_size=\"52215808\"] \n  48 [size=\"79984640\", alpha=\"0.07\", expect_size=\"39992320\"] \n  49 [size=\"59213824\", alpha=\"0.18\", expect_size=\"29606912\"] \n  50 [size=\"37810176\", alpha=\"0.15\", expect_size=\"18905088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.416.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102279680\", alpha=\"0.13\", expect_size=\"40911872\"] \n  1 -> 3 [size =\"40911872\"]\n  1 -> 4 [size =\"40911872\"]\n  1 -> 5 [size =\"40911872\"]\n  2 [size=\"125880320\", alpha=\"0.13\", expect_size=\"50352128\"] \n  2 -> 3 [size =\"50352128\"]\n  2 -> 4 [size =\"50352128\"]\n  3 [size=\"95818240\", alpha=\"0.18\", expect_size=\"38327296\"] \n  3 -> 6 [size =\"38327296\"]\n  3 -> 7 [size =\"38327296\"]\n  4 [size=\"62387200\", alpha=\"0.18\", expect_size=\"24954880\"] \n  4 -> 6 [size =\"24954880\"]\n  4 -> 7 [size =\"24954880\"]\n  4 -> 8 [size =\"24954880\"]\n  5 [size=\"124651520\", alpha=\"0.19\", expect_size=\"49860608\"] \n  5 -> 6 [size =\"49860608\"]\n  5 -> 8 [size =\"49860608\"]\n  6 [size=\"128076800\", alpha=\"0.04\", expect_size=\"51230720\"] \n  6 -> 9 [size =\"51230720\"]\n  6 -> 11 [size =\"51230720\"]\n  7 [size=\"31324160\", alpha=\"0.09\", expect_size=\"12529664\"] \n  8 [size=\"52016640\", alpha=\"0.04\", expect_size=\"20806656\"] \n  8 -> 9 [size =\"20806656\"]\n  8 -> 10 [size =\"20806656\"]\n  9 [size=\"102960640\", alpha=\"0.11\", expect_size=\"41184256\"] \n  9 -> 12 [size =\"41184256\"]\n  10 [size=\"120908800\", alpha=\"0.03\", expect_size=\"48363520\"] \n  10 -> 12 [size =\"48363520\"]\n  11 [size=\"93468160\", alpha=\"0.13\", expect_size=\"37387264\"] \n  11 -> 13 [size =\"37387264\"]\n  12 [size=\"51681280\", alpha=\"0.03\", expect_size=\"20672512\"] \n  12 -> 14 [size =\"20672512\"]\n  12 -> 15 [size =\"20672512\"]\n  13 [size=\"125747200\", alpha=\"0.03\", expect_size=\"50298880\"] \n  14 [size=\"114718720\", alpha=\"0.03\", expect_size=\"45887488\"] \n  14 -> 16 [size =\"45887488\"]\n  15 [size=\"100346880\", alpha=\"0.19\", expect_size=\"40138752\"] \n  15 -> 17 [size =\"40138752\"]\n  16 [size=\"97308160\", alpha=\"0.01\", expect_size=\"38923264\"] \n  16 -> 18 [size =\"38923264\"]\n  16 -> 19 [size =\"38923264\"]\n  17 [size=\"123758080\", alpha=\"0.17\", expect_size=\"49503232\"] \n  18 [size=\"61667840\", alpha=\"0.18\", expect_size=\"24667136\"] \n  18 -> 20 [size =\"24667136\"]\n  18 -> 21 [size =\"24667136\"]\n  19 [size=\"85209600\", alpha=\"0.02\", expect_size=\"34083840\"] \n  19 -> 20 [size =\"34083840\"]\n  19 -> 21 [size =\"34083840\"]\n  20 [size=\"34160640\", alpha=\"0.04\", expect_size=\"13664256\"] \n  20 -> 22 [size =\"13664256\"]\n  20 -> 23 [size =\"13664256\"]\n  20 -> 24 [size =\"13664256\"]\n  21 [size=\"49799680\", alpha=\"0.01\", expect_size=\"19919872\"] \n  21 -> 22 [size =\"19919872\"]\n  21 -> 23 [size =\"19919872\"]\n  21 -> 24 [size =\"19919872\"]\n  22 [size=\"126100480\", alpha=\"0.18\", expect_size=\"50440192\"] \n  22 -> 26 [size =\"50440192\"]\n  23 [size=\"28651520\", alpha=\"0.09\", expect_size=\"11460608\"] \n  23 -> 26 [size =\"11460608\"]\n  24 [size=\"46397440\", alpha=\"0.08\", expect_size=\"18558976\"] \n  24 -> 25 [size =\"18558976\"]\n  24 -> 26 [size =\"18558976\"]\n  25 [size=\"65436160\", alpha=\"0.06\", expect_size=\"26174464\"] \n  25 -> 27 [size =\"26174464\"]\n  25 -> 28 [size =\"26174464\"]\n  26 [size=\"58593280\", alpha=\"0.03\", expect_size=\"23437312\"] \n  26 -> 27 [size =\"23437312\"]\n  26 -> 28 [size =\"23437312\"]\n  27 [size=\"61637120\", alpha=\"0.04\", expect_size=\"24654848\"] \n  27 -> 29 [size =\"24654848\"]\n  28 [size=\"41221120\", alpha=\"0.11\", expect_size=\"16488448\"] \n  28 -> 30 [size =\"16488448\"]\n  29 [size=\"31331840\", alpha=\"0.13\", expect_size=\"12532736\"] \n  29 -> 32 [size =\"12532736\"]\n  29 -> 33 [size =\"12532736\"]\n  30 [size=\"40624640\", alpha=\"0.14\", expect_size=\"16249856\"] \n  30 -> 31 [size =\"16249856\"]\n  30 -> 33 [size =\"16249856\"]\n  31 [size=\"63992320\", alpha=\"0.08\", expect_size=\"25596928\"] \n  31 -> 35 [size =\"25596928\"]\n  32 [size=\"72647680\", alpha=\"0.09\", expect_size=\"29059072\"] \n  32 -> 34 [size =\"29059072\"]\n  33 [size=\"61396480\", alpha=\"0.08\", expect_size=\"24558592\"] \n  33 -> 34 [size =\"24558592\"]\n  33 -> 35 [size =\"24558592\"]\n  34 [size=\"112954880\", alpha=\"0.06\", expect_size=\"45181952\"] \n  34 -> 36 [size =\"45181952\"]\n  34 -> 37 [size =\"45181952\"]\n  35 [size=\"40670720\", alpha=\"0.17\", expect_size=\"16268288\"] \n  36 [size=\"74060800\", alpha=\"0.04\", expect_size=\"29624320\"] \n  36 -> 38 [size =\"29624320\"]\n  37 [size=\"92160000\", alpha=\"0.09\", expect_size=\"36864000\"] \n  37 -> 39 [size =\"36864000\"]\n  38 [size=\"113190400\", alpha=\"0.02\", expect_size=\"45276160\"] \n  38 -> 40 [size =\"45276160\"]\n  38 -> 41 [size =\"45276160\"]\n  39 [size=\"58096640\", alpha=\"0.07\", expect_size=\"23238656\"] \n  39 -> 40 [size =\"23238656\"]\n  39 -> 41 [size =\"23238656\"]\n  40 [size=\"16732160\", alpha=\"0.16\", expect_size=\"6692864\"] \n  40 -> 42 [size =\"6692864\"]\n  40 -> 44 [size =\"6692864\"]\n  41 [size=\"96898560\", alpha=\"0.11\", expect_size=\"38759424\"] \n  41 -> 43 [size =\"38759424\"]\n  41 -> 44 [size =\"38759424\"]\n  42 [size=\"25067520\", alpha=\"0.06\", expect_size=\"10027008\"] \n  42 -> 45 [size =\"10027008\"]\n  42 -> 46 [size =\"10027008\"]\n  42 -> 47 [size =\"10027008\"]\n  43 [size=\"75742720\", alpha=\"0.02\", expect_size=\"30297088\"] \n  43 -> 47 [size =\"30297088\"]\n  44 [size=\"125634560\", alpha=\"0.05\", expect_size=\"50253824\"] \n  44 -> 45 [size =\"50253824\"]\n  44 -> 46 [size =\"50253824\"]\n  44 -> 47 [size =\"50253824\"]\n  45 [size=\"40430080\", alpha=\"0.17\", expect_size=\"16172032\"] \n  45 -> 48 [size =\"16172032\"]\n  45 -> 50 [size =\"16172032\"]\n  46 [size=\"25331200\", alpha=\"0.16\", expect_size=\"10132480\"] \n  46 -> 49 [size =\"10132480\"]\n  46 -> 50 [size =\"10132480\"]\n  47 [size=\"46576640\", alpha=\"0.03\", expect_size=\"18630656\"] \n  47 -> 48 [size =\"18630656\"]\n  47 -> 49 [size =\"18630656\"]\n  48 [size=\"96855040\", alpha=\"0.15\", expect_size=\"38742016\"] \n  49 [size=\"106759680\", alpha=\"0.11\", expect_size=\"42703872\"] \n  50 [size=\"30435840\", alpha=\"0.11\", expect_size=\"12174336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.417.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58040320\", alpha=\"0.08\", expect_size=\"17412096\"] \n  1 -> 2 [size =\"17412096\"]\n  2 [size=\"42250240\", alpha=\"0.06\", expect_size=\"12675072\"] \n  2 -> 3 [size =\"12675072\"]\n  3 [size=\"114807467\", alpha=\"0.07\", expect_size=\"34442240\"] \n  3 -> 4 [size =\"34442240\"]\n  4 [size=\"135598080\", alpha=\"0.10\", expect_size=\"40679424\"] \n  4 -> 5 [size =\"40679424\"]\n  5 [size=\"116322987\", alpha=\"0.15\", expect_size=\"34896896\"] \n  5 -> 6 [size =\"34896896\"]\n  6 [size=\"81766400\", alpha=\"0.09\", expect_size=\"24529920\"] \n  6 -> 7 [size =\"24529920\"]\n  7 [size=\"128505173\", alpha=\"0.09\", expect_size=\"38551552\"] \n  7 -> 8 [size =\"38551552\"]\n  8 [size=\"77230080\", alpha=\"0.09\", expect_size=\"23169024\"] \n  8 -> 9 [size =\"23169024\"]\n  9 [size=\"117053440\", alpha=\"0.06\", expect_size=\"35116032\"] \n  9 -> 10 [size =\"35116032\"]\n  10 [size=\"74932907\", alpha=\"0.08\", expect_size=\"22479872\"] \n  10 -> 11 [size =\"22479872\"]\n  11 [size=\"162932053\", alpha=\"0.17\", expect_size=\"48879616\"] \n  11 -> 12 [size =\"48879616\"]\n  12 [size=\"69396480\", alpha=\"0.13\", expect_size=\"20818944\"] \n  12 -> 13 [size =\"20818944\"]\n  13 [size=\"116387840\", alpha=\"0.00\", expect_size=\"34916352\"] \n  13 -> 14 [size =\"34916352\"]\n  14 [size=\"173875200\", alpha=\"0.18\", expect_size=\"52162560\"] \n  14 -> 15 [size =\"52162560\"]\n  15 [size=\"92938240\", alpha=\"0.01\", expect_size=\"27881472\"] \n  15 -> 16 [size =\"27881472\"]\n  16 [size=\"50984960\", alpha=\"0.10\", expect_size=\"15295488\"] \n  16 -> 17 [size =\"15295488\"]\n  17 [size=\"121077760\", alpha=\"0.20\", expect_size=\"36323328\"] \n  17 -> 18 [size =\"36323328\"]\n  18 [size=\"33235627\", alpha=\"0.17\", expect_size=\"9970688\"] \n  18 -> 19 [size =\"9970688\"]\n  19 [size=\"100560213\", alpha=\"0.08\", expect_size=\"30168064\"] \n  19 -> 20 [size =\"30168064\"]\n  20 [size=\"150807893\", alpha=\"0.06\", expect_size=\"45242368\"] \n  20 -> 21 [size =\"45242368\"]\n  21 [size=\"53203627\", alpha=\"0.10\", expect_size=\"15961088\"] \n  21 -> 22 [size =\"15961088\"]\n  22 [size=\"27579733\", alpha=\"0.17\", expect_size=\"8273920\"] \n  22 -> 23 [size =\"8273920\"]\n  23 [size=\"132239360\", alpha=\"0.16\", expect_size=\"39671808\"] \n  23 -> 24 [size =\"39671808\"]\n  24 [size=\"135427413\", alpha=\"0.10\", expect_size=\"40628224\"] \n  24 -> 25 [size =\"40628224\"]\n  25 [size=\"117224107\", alpha=\"0.17\", expect_size=\"35167232\"] \n  25 -> 26 [size =\"35167232\"]\n  26 [size=\"125078187\", alpha=\"0.12\", expect_size=\"37523456\"] \n  26 -> 27 [size =\"37523456\"]\n  27 [size=\"42509653\", alpha=\"0.01\", expect_size=\"12752896\"] \n  27 -> 28 [size =\"12752896\"]\n  28 [size=\"41236480\", alpha=\"0.17\", expect_size=\"12370944\"] \n  28 -> 29 [size =\"12370944\"]\n  29 [size=\"19128320\", alpha=\"0.06\", expect_size=\"5738496\"] \n  29 -> 30 [size =\"5738496\"]\n  30 [size=\"81356800\", alpha=\"0.03\", expect_size=\"24407040\"] \n  30 -> 31 [size =\"24407040\"]\n  31 [size=\"131293867\", alpha=\"0.18\", expect_size=\"39388160\"] \n  31 -> 32 [size =\"39388160\"]\n  32 [size=\"52224000\", alpha=\"0.20\", expect_size=\"15667200\"] \n  32 -> 33 [size =\"15667200\"]\n  33 [size=\"26204160\", alpha=\"0.14\", expect_size=\"7861248\"] \n  33 -> 34 [size =\"7861248\"]\n  34 [size=\"150565547\", alpha=\"0.08\", expect_size=\"45169664\"] \n  34 -> 35 [size =\"45169664\"]\n  35 [size=\"71577600\", alpha=\"0.12\", expect_size=\"21473280\"] \n  35 -> 36 [size =\"21473280\"]\n  36 [size=\"45373440\", alpha=\"0.20\", expect_size=\"13612032\"] \n  36 -> 37 [size =\"13612032\"]\n  37 [size=\"136246613\", alpha=\"0.01\", expect_size=\"40873984\"] \n  37 -> 38 [size =\"40873984\"]\n  38 [size=\"140653227\", alpha=\"0.04\", expect_size=\"42195968\"] \n  38 -> 39 [size =\"42195968\"]\n  39 [size=\"118350507\", alpha=\"0.18\", expect_size=\"35505152\"] \n  39 -> 40 [size =\"35505152\"]\n  40 [size=\"168915627\", alpha=\"0.09\", expect_size=\"50674688\"] \n  40 -> 41 [size =\"50674688\"]\n  41 [size=\"35235840\", alpha=\"0.04\", expect_size=\"10570752\"] \n  41 -> 42 [size =\"10570752\"]\n  42 [size=\"20056747\", alpha=\"0.00\", expect_size=\"6017024\"] \n  42 -> 43 [size =\"6017024\"]\n  43 [size=\"18015573\", alpha=\"0.11\", expect_size=\"5404672\"] \n  43 -> 44 [size =\"5404672\"]\n  44 [size=\"128023893\", alpha=\"0.18\", expect_size=\"38407168\"] \n  44 -> 45 [size =\"38407168\"]\n  45 [size=\"34624853\", alpha=\"0.16\", expect_size=\"10387456\"] \n  45 -> 46 [size =\"10387456\"]\n  46 [size=\"127853227\", alpha=\"0.09\", expect_size=\"38355968\"] \n  46 -> 47 [size =\"38355968\"]\n  47 [size=\"126651733\", alpha=\"0.05\", expect_size=\"37995520\"] \n  47 -> 48 [size =\"37995520\"]\n  48 [size=\"134615040\", alpha=\"0.03\", expect_size=\"40384512\"] \n  48 -> 49 [size =\"40384512\"]\n  49 [size=\"167509333\", alpha=\"0.02\", expect_size=\"50252800\"] \n  49 -> 50 [size =\"50252800\"]\n  50 [size=\"151132160\", alpha=\"0.09\", expect_size=\"45339648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.418.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93417472\", alpha=\"0.07\", expect_size=\"46708736\"] \n  1 -> 2 [size =\"46708736\"]\n  2 [size=\"103868416\", alpha=\"0.02\", expect_size=\"51934208\"] \n  2 -> 3 [size =\"51934208\"]\n  3 [size=\"40708096\", alpha=\"0.06\", expect_size=\"20354048\"] \n  3 -> 4 [size =\"20354048\"]\n  4 [size=\"57704448\", alpha=\"0.03\", expect_size=\"28852224\"] \n  4 -> 5 [size =\"28852224\"]\n  5 [size=\"64729088\", alpha=\"0.17\", expect_size=\"32364544\"] \n  5 -> 6 [size =\"32364544\"]\n  6 [size=\"102137856\", alpha=\"0.18\", expect_size=\"51068928\"] \n  6 -> 7 [size =\"51068928\"]\n  7 [size=\"15083520\", alpha=\"0.01\", expect_size=\"7541760\"] \n  7 -> 8 [size =\"7541760\"]\n  8 [size=\"58499072\", alpha=\"0.13\", expect_size=\"29249536\"] \n  8 -> 9 [size =\"29249536\"]\n  9 [size=\"100415488\", alpha=\"0.02\", expect_size=\"50207744\"] \n  9 -> 10 [size =\"50207744\"]\n  10 [size=\"22773760\", alpha=\"0.16\", expect_size=\"11386880\"] \n  10 -> 11 [size =\"11386880\"]\n  11 [size=\"37818368\", alpha=\"0.06\", expect_size=\"18909184\"] \n  11 -> 12 [size =\"18909184\"]\n  12 [size=\"68501504\", alpha=\"0.08\", expect_size=\"34250752\"] \n  12 -> 13 [size =\"34250752\"]\n  13 [size=\"76929024\", alpha=\"0.05\", expect_size=\"38464512\"] \n  13 -> 14 [size =\"38464512\"]\n  14 [size=\"12785664\", alpha=\"0.10\", expect_size=\"6392832\"] \n  14 -> 15 [size =\"6392832\"]\n  15 [size=\"24612864\", alpha=\"0.08\", expect_size=\"12306432\"] \n  15 -> 16 [size =\"12306432\"]\n  16 [size=\"12433408\", alpha=\"0.00\", expect_size=\"6216704\"] \n  16 -> 17 [size =\"6216704\"]\n  17 [size=\"97570816\", alpha=\"0.18\", expect_size=\"48785408\"] \n  17 -> 18 [size =\"48785408\"]\n  18 [size=\"101832704\", alpha=\"0.09\", expect_size=\"50916352\"] \n  18 -> 19 [size =\"50916352\"]\n  19 [size=\"68286464\", alpha=\"0.04\", expect_size=\"34143232\"] \n  19 -> 20 [size =\"34143232\"]\n  20 [size=\"76929024\", alpha=\"0.20\", expect_size=\"38464512\"] \n  20 -> 21 [size =\"38464512\"]\n  21 [size=\"56612864\", alpha=\"0.13\", expect_size=\"28306432\"] \n  21 -> 22 [size =\"28306432\"]\n  22 [size=\"84926464\", alpha=\"0.06\", expect_size=\"42463232\"] \n  22 -> 23 [size =\"42463232\"]\n  23 [size=\"28422144\", alpha=\"0.06\", expect_size=\"14211072\"] \n  23 -> 24 [size =\"14211072\"]\n  24 [size=\"54294528\", alpha=\"0.16\", expect_size=\"27147264\"] \n  24 -> 25 [size =\"27147264\"]\n  25 [size=\"103686144\", alpha=\"0.17\", expect_size=\"51843072\"] \n  25 -> 26 [size =\"51843072\"]\n  26 [size=\"48685056\", alpha=\"0.17\", expect_size=\"24342528\"] \n  26 -> 27 [size =\"24342528\"]\n  27 [size=\"50057216\", alpha=\"0.19\", expect_size=\"25028608\"] \n  27 -> 28 [size =\"25028608\"]\n  28 [size=\"41981952\", alpha=\"0.11\", expect_size=\"20990976\"] \n  28 -> 29 [size =\"20990976\"]\n  29 [size=\"82440192\", alpha=\"0.01\", expect_size=\"41220096\"] \n  29 -> 30 [size =\"41220096\"]\n  30 [size=\"99598336\", alpha=\"0.15\", expect_size=\"49799168\"] \n  30 -> 31 [size =\"49799168\"]\n  31 [size=\"97298432\", alpha=\"0.14\", expect_size=\"48649216\"] \n  31 -> 32 [size =\"48649216\"]\n  32 [size=\"64098304\", alpha=\"0.05\", expect_size=\"32049152\"] \n  32 -> 33 [size =\"32049152\"]\n  33 [size=\"93384704\", alpha=\"0.11\", expect_size=\"46692352\"] \n  33 -> 34 [size =\"46692352\"]\n  34 [size=\"26636288\", alpha=\"0.17\", expect_size=\"13318144\"] \n  34 -> 35 [size =\"13318144\"]\n  35 [size=\"99815424\", alpha=\"0.06\", expect_size=\"49907712\"] \n  35 -> 36 [size =\"49907712\"]\n  36 [size=\"84051968\", alpha=\"0.15\", expect_size=\"42025984\"] \n  36 -> 37 [size =\"42025984\"]\n  37 [size=\"71000064\", alpha=\"0.03\", expect_size=\"35500032\"] \n  37 -> 38 [size =\"35500032\"]\n  38 [size=\"65259520\", alpha=\"0.11\", expect_size=\"32629760\"] \n  38 -> 39 [size =\"32629760\"]\n  39 [size=\"20471808\", alpha=\"0.10\", expect_size=\"10235904\"] \n  39 -> 40 [size =\"10235904\"]\n  40 [size=\"26570752\", alpha=\"0.04\", expect_size=\"13285376\"] \n  40 -> 41 [size =\"13285376\"]\n  41 [size=\"95840256\", alpha=\"0.07\", expect_size=\"47920128\"] \n  41 -> 42 [size =\"47920128\"]\n  42 [size=\"66873344\", alpha=\"0.06\", expect_size=\"33436672\"] \n  42 -> 43 [size =\"33436672\"]\n  43 [size=\"92055552\", alpha=\"0.09\", expect_size=\"46027776\"] \n  43 -> 44 [size =\"46027776\"]\n  44 [size=\"49088512\", alpha=\"0.01\", expect_size=\"24544256\"] \n  44 -> 45 [size =\"24544256\"]\n  45 [size=\"34646016\", alpha=\"0.13\", expect_size=\"17323008\"] \n  45 -> 46 [size =\"17323008\"]\n  46 [size=\"62855168\", alpha=\"0.14\", expect_size=\"31427584\"] \n  46 -> 47 [size =\"31427584\"]\n  47 [size=\"41295872\", alpha=\"0.02\", expect_size=\"20647936\"] \n  47 -> 48 [size =\"20647936\"]\n  48 [size=\"57053184\", alpha=\"0.17\", expect_size=\"28526592\"] \n  48 -> 49 [size =\"28526592\"]\n  49 [size=\"12730368\", alpha=\"0.08\", expect_size=\"6365184\"] \n  49 -> 50 [size =\"6365184\"]\n  50 [size=\"60506112\", alpha=\"0.17\", expect_size=\"30253056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.419.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61370368\", alpha=\"0.14\", expect_size=\"30685184\"] \n  1 -> 5 [size =\"30685184\"]\n  2 [size=\"29302784\", alpha=\"0.05\", expect_size=\"14651392\"] \n  2 -> 3 [size =\"14651392\"]\n  2 -> 4 [size =\"14651392\"]\n  3 [size=\"95524864\", alpha=\"0.09\", expect_size=\"47762432\"] \n  3 -> 6 [size =\"47762432\"]\n  3 -> 8 [size =\"47762432\"]\n  4 [size=\"87678976\", alpha=\"0.18\", expect_size=\"43839488\"] \n  4 -> 7 [size =\"43839488\"]\n  5 [size=\"41191424\", alpha=\"0.14\", expect_size=\"20595712\"] \n  6 [size=\"28039168\", alpha=\"0.09\", expect_size=\"14019584\"] \n  7 [size=\"73664512\", alpha=\"0.12\", expect_size=\"36832256\"] \n  7 -> 9 [size =\"36832256\"]\n  7 -> 10 [size =\"36832256\"]\n  8 [size=\"58492928\", alpha=\"0.06\", expect_size=\"29246464\"] \n  8 -> 10 [size =\"29246464\"]\n  8 -> 11 [size =\"29246464\"]\n  9 [size=\"37558272\", alpha=\"0.08\", expect_size=\"18779136\"] \n  9 -> 13 [size =\"18779136\"]\n  10 [size=\"70074368\", alpha=\"0.09\", expect_size=\"35037184\"] \n  10 -> 12 [size =\"35037184\"]\n  10 -> 14 [size =\"35037184\"]\n  11 [size=\"53139456\", alpha=\"0.00\", expect_size=\"26569728\"] \n  11 -> 13 [size =\"26569728\"]\n  12 [size=\"26255360\", alpha=\"0.09\", expect_size=\"13127680\"] \n  13 [size=\"51097600\", alpha=\"0.05\", expect_size=\"25548800\"] \n  13 -> 15 [size =\"25548800\"]\n  13 -> 16 [size =\"25548800\"]\n  14 [size=\"93624320\", alpha=\"0.08\", expect_size=\"46812160\"] \n  14 -> 15 [size =\"46812160\"]\n  14 -> 16 [size =\"46812160\"]\n  15 [size=\"85886976\", alpha=\"0.08\", expect_size=\"42943488\"] \n  15 -> 19 [size =\"42943488\"]\n  16 [size=\"57364480\", alpha=\"0.17\", expect_size=\"28682240\"] \n  16 -> 17 [size =\"28682240\"]\n  16 -> 18 [size =\"28682240\"]\n  17 [size=\"100679680\", alpha=\"0.16\", expect_size=\"50339840\"] \n  17 -> 20 [size =\"50339840\"]\n  17 -> 21 [size =\"50339840\"]\n  18 [size=\"62175232\", alpha=\"0.05\", expect_size=\"31087616\"] \n  18 -> 20 [size =\"31087616\"]\n  18 -> 21 [size =\"31087616\"]\n  19 [size=\"88215552\", alpha=\"0.19\", expect_size=\"44107776\"] \n  20 [size=\"30017536\", alpha=\"0.15\", expect_size=\"15008768\"] \n  20 -> 22 [size =\"15008768\"]\n  20 -> 23 [size =\"15008768\"]\n  20 -> 24 [size =\"15008768\"]\n  21 [size=\"71530496\", alpha=\"0.01\", expect_size=\"35765248\"] \n  22 [size=\"72714240\", alpha=\"0.11\", expect_size=\"36357120\"] \n  22 -> 25 [size =\"36357120\"]\n  23 [size=\"21673984\", alpha=\"0.19\", expect_size=\"10836992\"] \n  23 -> 26 [size =\"10836992\"]\n  24 [size=\"47122432\", alpha=\"0.04\", expect_size=\"23561216\"] \n  24 -> 25 [size =\"23561216\"]\n  25 [size=\"86298624\", alpha=\"0.15\", expect_size=\"43149312\"] \n  25 -> 29 [size =\"43149312\"]\n  26 [size=\"30466048\", alpha=\"0.10\", expect_size=\"15233024\"] \n  26 -> 27 [size =\"15233024\"]\n  26 -> 28 [size =\"15233024\"]\n  27 [size=\"16224256\", alpha=\"0.18\", expect_size=\"8112128\"] \n  27 -> 30 [size =\"8112128\"]\n  27 -> 31 [size =\"8112128\"]\n  28 [size=\"93368320\", alpha=\"0.16\", expect_size=\"46684160\"] \n  29 [size=\"20459520\", alpha=\"0.00\", expect_size=\"10229760\"] \n  29 -> 30 [size =\"10229760\"]\n  30 [size=\"16642048\", alpha=\"0.17\", expect_size=\"8321024\"] \n  30 -> 32 [size =\"8321024\"]\n  30 -> 33 [size =\"8321024\"]\n  31 [size=\"85569536\", alpha=\"0.03\", expect_size=\"42784768\"] \n  31 -> 34 [size =\"42784768\"]\n  32 [size=\"89380864\", alpha=\"0.12\", expect_size=\"44690432\"] \n  32 -> 35 [size =\"44690432\"]\n  32 -> 37 [size =\"44690432\"]\n  33 [size=\"46895104\", alpha=\"0.10\", expect_size=\"23447552\"] \n  33 -> 37 [size =\"23447552\"]\n  34 [size=\"43155456\", alpha=\"0.05\", expect_size=\"21577728\"] \n  34 -> 36 [size =\"21577728\"]\n  35 [size=\"60983296\", alpha=\"0.16\", expect_size=\"30491648\"] \n  36 [size=\"36712448\", alpha=\"0.18\", expect_size=\"18356224\"] \n  36 -> 38 [size =\"18356224\"]\n  37 [size=\"82268160\", alpha=\"0.18\", expect_size=\"41134080\"] \n  37 -> 39 [size =\"41134080\"]\n  38 [size=\"72089600\", alpha=\"0.09\", expect_size=\"36044800\"] \n  38 -> 41 [size =\"36044800\"]\n  39 [size=\"54181888\", alpha=\"0.17\", expect_size=\"27090944\"] \n  39 -> 40 [size =\"27090944\"]\n  40 [size=\"55619584\", alpha=\"0.09\", expect_size=\"27809792\"] \n  40 -> 42 [size =\"27809792\"]\n  41 [size=\"41617408\", alpha=\"0.14\", expect_size=\"20808704\"] \n  41 -> 43 [size =\"20808704\"]\n  42 [size=\"54835200\", alpha=\"0.12\", expect_size=\"27417600\"] \n  43 [size=\"16668672\", alpha=\"0.12\", expect_size=\"8334336\"] \n  43 -> 44 [size =\"8334336\"]\n  43 -> 45 [size =\"8334336\"]\n  44 [size=\"62101504\", alpha=\"0.01\", expect_size=\"31050752\"] \n  44 -> 46 [size =\"31050752\"]\n  45 [size=\"85534720\", alpha=\"0.05\", expect_size=\"42767360\"] \n  45 -> 47 [size =\"42767360\"]\n  46 [size=\"67993600\", alpha=\"0.13\", expect_size=\"33996800\"] \n  46 -> 48 [size =\"33996800\"]\n  46 -> 50 [size =\"33996800\"]\n  47 [size=\"56360960\", alpha=\"0.03\", expect_size=\"28180480\"] \n  47 -> 49 [size =\"28180480\"]\n  48 [size=\"46458880\", alpha=\"0.10\", expect_size=\"23229440\"] \n  49 [size=\"89978880\", alpha=\"0.20\", expect_size=\"44989440\"] \n  50 [size=\"75907072\", alpha=\"0.10\", expect_size=\"37953536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21872640\", alpha=\"0.19\", expect_size=\"8749056\"] \n  1 -> 8 [size =\"8749056\"]\n  1 -> 11 [size =\"8749056\"]\n  1 -> 12 [size =\"8749056\"]\n  1 -> 14 [size =\"8749056\"]\n  1 -> 19 [size =\"8749056\"]\n  1 -> 20 [size =\"8749056\"]\n  1 -> 22 [size =\"8749056\"]\n  1 -> 23 [size =\"8749056\"]\n  1 -> 25 [size =\"8749056\"]\n  2 [size=\"120601600\", alpha=\"0.06\", expect_size=\"48240640\"] \n  2 -> 8 [size =\"48240640\"]\n  2 -> 9 [size =\"48240640\"]\n  2 -> 10 [size =\"48240640\"]\n  2 -> 11 [size =\"48240640\"]\n  2 -> 12 [size =\"48240640\"]\n  2 -> 14 [size =\"48240640\"]\n  2 -> 15 [size =\"48240640\"]\n  2 -> 22 [size =\"48240640\"]\n  2 -> 25 [size =\"48240640\"]\n  2 -> 26 [size =\"48240640\"]\n  3 [size=\"61601280\", alpha=\"0.00\", expect_size=\"24640512\"] \n  3 -> 12 [size =\"24640512\"]\n  3 -> 13 [size =\"24640512\"]\n  3 -> 17 [size =\"24640512\"]\n  3 -> 18 [size =\"24640512\"]\n  3 -> 19 [size =\"24640512\"]\n  3 -> 22 [size =\"24640512\"]\n  3 -> 23 [size =\"24640512\"]\n  3 -> 26 [size =\"24640512\"]\n  4 [size=\"94835200\", alpha=\"0.10\", expect_size=\"37934080\"] \n  4 -> 13 [size =\"37934080\"]\n  4 -> 15 [size =\"37934080\"]\n  4 -> 16 [size =\"37934080\"]\n  4 -> 17 [size =\"37934080\"]\n  4 -> 19 [size =\"37934080\"]\n  4 -> 23 [size =\"37934080\"]\n  4 -> 24 [size =\"37934080\"]\n  4 -> 26 [size =\"37934080\"]\n  5 [size=\"36290560\", alpha=\"0.11\", expect_size=\"14516224\"] \n  5 -> 13 [size =\"14516224\"]\n  5 -> 21 [size =\"14516224\"]\n  5 -> 24 [size =\"14516224\"]\n  6 [size=\"42237440\", alpha=\"0.14\", expect_size=\"16894976\"] \n  6 -> 14 [size =\"16894976\"]\n  6 -> 22 [size =\"16894976\"]\n  6 -> 24 [size =\"16894976\"]\n  7 [size=\"90145280\", alpha=\"0.20\", expect_size=\"36058112\"] \n  7 -> 10 [size =\"36058112\"]\n  7 -> 11 [size =\"36058112\"]\n  7 -> 13 [size =\"36058112\"]\n  7 -> 14 [size =\"36058112\"]\n  7 -> 27 [size =\"36058112\"]\n  8 [size=\"24990720\", alpha=\"0.13\", expect_size=\"9996288\"] \n  8 -> 29 [size =\"9996288\"]\n  8 -> 34 [size =\"9996288\"]\n  8 -> 35 [size =\"9996288\"]\n  9 [size=\"13117440\", alpha=\"0.04\", expect_size=\"5246976\"] \n  9 -> 33 [size =\"5246976\"]\n  9 -> 36 [size =\"5246976\"]\n  10 [size=\"14497280\", alpha=\"0.14\", expect_size=\"5798912\"] \n  11 [size=\"60070400\", alpha=\"0.02\", expect_size=\"24028160\"] \n  11 -> 37 [size =\"24028160\"]\n  12 [size=\"54876160\", alpha=\"0.15\", expect_size=\"21950464\"] \n  12 -> 35 [size =\"21950464\"]\n  12 -> 37 [size =\"21950464\"]\n  12 -> 41 [size =\"21950464\"]\n  13 [size=\"87531520\", alpha=\"0.02\", expect_size=\"35012608\"] \n  13 -> 37 [size =\"35012608\"]\n  13 -> 39 [size =\"35012608\"]\n  14 [size=\"89482240\", alpha=\"0.07\", expect_size=\"35792896\"] \n  14 -> 34 [size =\"35792896\"]\n  14 -> 41 [size =\"35792896\"]\n  15 [size=\"33277440\", alpha=\"0.04\", expect_size=\"13310976\"] \n  15 -> 31 [size =\"13310976\"]\n  15 -> 32 [size =\"13310976\"]\n  15 -> 33 [size =\"13310976\"]\n  15 -> 39 [size =\"13310976\"]\n  16 [size=\"97041920\", alpha=\"0.06\", expect_size=\"38816768\"] \n  16 -> 33 [size =\"38816768\"]\n  16 -> 37 [size =\"38816768\"]\n  17 [size=\"63536640\", alpha=\"0.03\", expect_size=\"25414656\"] \n  17 -> 31 [size =\"25414656\"]\n  17 -> 38 [size =\"25414656\"]\n  17 -> 41 [size =\"25414656\"]\n  18 [size=\"60797440\", alpha=\"0.06\", expect_size=\"24318976\"] \n  18 -> 28 [size =\"24318976\"]\n  18 -> 34 [size =\"24318976\"]\n  19 [size=\"19932160\", alpha=\"0.15\", expect_size=\"7972864\"] \n  19 -> 33 [size =\"7972864\"]\n  19 -> 34 [size =\"7972864\"]\n  19 -> 37 [size =\"7972864\"]\n  19 -> 41 [size =\"7972864\"]\n  20 [size=\"43315200\", alpha=\"0.02\", expect_size=\"17326080\"] \n  20 -> 28 [size =\"17326080\"]\n  20 -> 33 [size =\"17326080\"]\n  20 -> 34 [size =\"17326080\"]\n  20 -> 37 [size =\"17326080\"]\n  20 -> 38 [size =\"17326080\"]\n  21 [size=\"124710400\", alpha=\"0.10\", expect_size=\"49884160\"] \n  21 -> 33 [size =\"49884160\"]\n  22 [size=\"19000320\", alpha=\"0.16\", expect_size=\"7600128\"] \n  22 -> 34 [size =\"7600128\"]\n  22 -> 37 [size =\"7600128\"]\n  23 [size=\"106288640\", alpha=\"0.10\", expect_size=\"42515456\"] \n  23 -> 28 [size =\"42515456\"]\n  23 -> 34 [size =\"42515456\"]\n  24 [size=\"116065280\", alpha=\"0.18\", expect_size=\"46426112\"] \n  24 -> 30 [size =\"46426112\"]\n  24 -> 33 [size =\"46426112\"]\n  24 -> 37 [size =\"46426112\"]\n  24 -> 38 [size =\"46426112\"]\n  25 [size=\"40547840\", alpha=\"0.10\", expect_size=\"16219136\"] \n  25 -> 28 [size =\"16219136\"]\n  25 -> 30 [size =\"16219136\"]\n  25 -> 34 [size =\"16219136\"]\n  25 -> 37 [size =\"16219136\"]\n  26 [size=\"61345280\", alpha=\"0.07\", expect_size=\"24538112\"] \n  26 -> 33 [size =\"24538112\"]\n  26 -> 34 [size =\"24538112\"]\n  26 -> 35 [size =\"24538112\"]\n  26 -> 37 [size =\"24538112\"]\n  27 [size=\"94630400\", alpha=\"0.17\", expect_size=\"37852160\"] \n  27 -> 28 [size =\"37852160\"]\n  27 -> 30 [size =\"37852160\"]\n  27 -> 34 [size =\"37852160\"]\n  27 -> 35 [size =\"37852160\"]\n  27 -> 40 [size =\"37852160\"]\n  28 [size=\"111787520\", alpha=\"0.10\", expect_size=\"44715008\"] \n  28 -> 43 [size =\"44715008\"]\n  28 -> 44 [size =\"44715008\"]\n  28 -> 46 [size =\"44715008\"]\n  28 -> 48 [size =\"44715008\"]\n  29 [size=\"30341120\", alpha=\"0.02\", expect_size=\"12136448\"] \n  29 -> 43 [size =\"12136448\"]\n  29 -> 44 [size =\"12136448\"]\n  29 -> 45 [size =\"12136448\"]\n  29 -> 46 [size =\"12136448\"]\n  29 -> 48 [size =\"12136448\"]\n  29 -> 49 [size =\"12136448\"]\n  29 -> 50 [size =\"12136448\"]\n  30 [size=\"120074240\", alpha=\"0.14\", expect_size=\"48029696\"] \n  30 -> 45 [size =\"48029696\"]\n  31 [size=\"129635840\", alpha=\"0.15\", expect_size=\"51854336\"] \n  31 -> 45 [size =\"51854336\"]\n  32 [size=\"67788800\", alpha=\"0.02\", expect_size=\"27115520\"] \n  32 -> 44 [size =\"27115520\"]\n  32 -> 48 [size =\"27115520\"]\n  32 -> 49 [size =\"27115520\"]\n  32 -> 50 [size =\"27115520\"]\n  33 [size=\"42032640\", alpha=\"0.02\", expect_size=\"16813056\"] \n  33 -> 43 [size =\"16813056\"]\n  34 [size=\"100858880\", alpha=\"0.15\", expect_size=\"40343552\"] \n  34 -> 44 [size =\"40343552\"]\n  34 -> 46 [size =\"40343552\"]\n  35 [size=\"90068480\", alpha=\"0.11\", expect_size=\"36027392\"] \n  35 -> 47 [size =\"36027392\"]\n  36 [size=\"32847360\", alpha=\"0.02\", expect_size=\"13138944\"] \n  36 -> 43 [size =\"13138944\"]\n  36 -> 46 [size =\"13138944\"]\n  36 -> 49 [size =\"13138944\"]\n  37 [size=\"76293120\", alpha=\"0.01\", expect_size=\"30517248\"] \n  37 -> 43 [size =\"30517248\"]\n  38 [size=\"61514240\", alpha=\"0.09\", expect_size=\"24605696\"] \n  38 -> 42 [size =\"24605696\"]\n  38 -> 43 [size =\"24605696\"]\n  38 -> 46 [size =\"24605696\"]\n  38 -> 47 [size =\"24605696\"]\n  38 -> 50 [size =\"24605696\"]\n  39 [size=\"118361600\", alpha=\"0.17\", expect_size=\"47344640\"] \n  39 -> 42 [size =\"47344640\"]\n  39 -> 43 [size =\"47344640\"]\n  39 -> 44 [size =\"47344640\"]\n  39 -> 46 [size =\"47344640\"]\n  39 -> 48 [size =\"47344640\"]\n  39 -> 50 [size =\"47344640\"]\n  40 [size=\"128880640\", alpha=\"0.10\", expect_size=\"51552256\"] \n  40 -> 42 [size =\"51552256\"]\n  40 -> 44 [size =\"51552256\"]\n  40 -> 45 [size =\"51552256\"]\n  41 [size=\"94469120\", alpha=\"0.03\", expect_size=\"37787648\"] \n  42 [size=\"62087680\", alpha=\"0.16\", expect_size=\"24835072\"] \n  43 [size=\"73505280\", alpha=\"0.06\", expect_size=\"29402112\"] \n  44 [size=\"85184000\", alpha=\"0.12\", expect_size=\"34073600\"] \n  45 [size=\"55536640\", alpha=\"0.04\", expect_size=\"22214656\"] \n  46 [size=\"122695680\", alpha=\"0.03\", expect_size=\"49078272\"] \n  47 [size=\"16704000\", alpha=\"0.17\", expect_size=\"6681600\"] \n  48 [size=\"23923200\", alpha=\"0.07\", expect_size=\"9569280\"] \n  49 [size=\"74078720\", alpha=\"0.20\", expect_size=\"29631488\"] \n  50 [size=\"56030720\", alpha=\"0.11\", expect_size=\"22412288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.420.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22243840\", alpha=\"0.16\", expect_size=\"8897536\"] \n  1 -> 10 [size =\"8897536\"]\n  1 -> 12 [size =\"8897536\"]\n  1 -> 14 [size =\"8897536\"]\n  1 -> 15 [size =\"8897536\"]\n  1 -> 16 [size =\"8897536\"]\n  2 [size=\"114938880\", alpha=\"0.10\", expect_size=\"45975552\"] \n  2 -> 10 [size =\"45975552\"]\n  2 -> 12 [size =\"45975552\"]\n  2 -> 15 [size =\"45975552\"]\n  2 -> 16 [size =\"45975552\"]\n  2 -> 17 [size =\"45975552\"]\n  3 [size=\"117880320\", alpha=\"0.01\", expect_size=\"47152128\"] \n  3 -> 10 [size =\"47152128\"]\n  3 -> 12 [size =\"47152128\"]\n  3 -> 14 [size =\"47152128\"]\n  3 -> 15 [size =\"47152128\"]\n  3 -> 16 [size =\"47152128\"]\n  3 -> 17 [size =\"47152128\"]\n  4 [size=\"38597120\", alpha=\"0.09\", expect_size=\"15438848\"] \n  4 -> 9 [size =\"15438848\"]\n  4 -> 10 [size =\"15438848\"]\n  4 -> 11 [size =\"15438848\"]\n  4 -> 14 [size =\"15438848\"]\n  4 -> 17 [size =\"15438848\"]\n  5 [size=\"31372800\", alpha=\"0.14\", expect_size=\"12549120\"] \n  5 -> 9 [size =\"12549120\"]\n  5 -> 11 [size =\"12549120\"]\n  5 -> 17 [size =\"12549120\"]\n  6 [size=\"87920640\", alpha=\"0.19\", expect_size=\"35168256\"] \n  6 -> 11 [size =\"35168256\"]\n  7 [size=\"41287680\", alpha=\"0.05\", expect_size=\"16515072\"] \n  7 -> 9 [size =\"16515072\"]\n  7 -> 14 [size =\"16515072\"]\n  7 -> 16 [size =\"16515072\"]\n  7 -> 17 [size =\"16515072\"]\n  8 [size=\"90618880\", alpha=\"0.08\", expect_size=\"36247552\"] \n  8 -> 12 [size =\"36247552\"]\n  8 -> 13 [size =\"36247552\"]\n  8 -> 14 [size =\"36247552\"]\n  8 -> 17 [size =\"36247552\"]\n  9 [size=\"53977600\", alpha=\"0.07\", expect_size=\"21591040\"] \n  9 -> 19 [size =\"21591040\"]\n  9 -> 20 [size =\"21591040\"]\n  9 -> 22 [size =\"21591040\"]\n  10 [size=\"104279040\", alpha=\"0.15\", expect_size=\"41711616\"] \n  10 -> 23 [size =\"41711616\"]\n  10 -> 26 [size =\"41711616\"]\n  11 [size=\"44229120\", alpha=\"0.08\", expect_size=\"17691648\"] \n  11 -> 18 [size =\"17691648\"]\n  11 -> 22 [size =\"17691648\"]\n  12 [size=\"22010880\", alpha=\"0.13\", expect_size=\"8804352\"] \n  12 -> 18 [size =\"8804352\"]\n  12 -> 19 [size =\"8804352\"]\n  12 -> 25 [size =\"8804352\"]\n  13 [size=\"80716800\", alpha=\"0.10\", expect_size=\"32286720\"] \n  13 -> 18 [size =\"32286720\"]\n  13 -> 22 [size =\"32286720\"]\n  13 -> 23 [size =\"32286720\"]\n  13 -> 24 [size =\"32286720\"]\n  13 -> 25 [size =\"32286720\"]\n  13 -> 26 [size =\"32286720\"]\n  14 [size=\"85411840\", alpha=\"0.11\", expect_size=\"34164736\"] \n  14 -> 23 [size =\"34164736\"]\n  14 -> 26 [size =\"34164736\"]\n  15 [size=\"21552640\", alpha=\"0.05\", expect_size=\"8621056\"] \n  15 -> 18 [size =\"8621056\"]\n  15 -> 19 [size =\"8621056\"]\n  15 -> 21 [size =\"8621056\"]\n  15 -> 22 [size =\"8621056\"]\n  15 -> 25 [size =\"8621056\"]\n  15 -> 27 [size =\"8621056\"]\n  16 [size=\"104074240\", alpha=\"0.14\", expect_size=\"41629696\"] \n  16 -> 22 [size =\"41629696\"]\n  16 -> 23 [size =\"41629696\"]\n  16 -> 25 [size =\"41629696\"]\n  16 -> 26 [size =\"41629696\"]\n  17 [size=\"95505920\", alpha=\"0.01\", expect_size=\"38202368\"] \n  17 -> 18 [size =\"38202368\"]\n  17 -> 20 [size =\"38202368\"]\n  17 -> 21 [size =\"38202368\"]\n  17 -> 22 [size =\"38202368\"]\n  17 -> 26 [size =\"38202368\"]\n  18 [size=\"122240000\", alpha=\"0.20\", expect_size=\"48896000\"] \n  18 -> 28 [size =\"48896000\"]\n  18 -> 29 [size =\"48896000\"]\n  18 -> 31 [size =\"48896000\"]\n  19 [size=\"52236800\", alpha=\"0.16\", expect_size=\"20894720\"] \n  19 -> 28 [size =\"20894720\"]\n  19 -> 31 [size =\"20894720\"]\n  20 [size=\"95185920\", alpha=\"0.06\", expect_size=\"38074368\"] \n  21 [size=\"66644480\", alpha=\"0.19\", expect_size=\"26657792\"] \n  21 -> 29 [size =\"26657792\"]\n  21 -> 30 [size =\"26657792\"]\n  21 -> 31 [size =\"26657792\"]\n  21 -> 32 [size =\"26657792\"]\n  21 -> 33 [size =\"26657792\"]\n  22 [size=\"114096640\", alpha=\"0.08\", expect_size=\"45638656\"] \n  22 -> 28 [size =\"45638656\"]\n  22 -> 29 [size =\"45638656\"]\n  22 -> 32 [size =\"45638656\"]\n  23 [size=\"75622400\", alpha=\"0.15\", expect_size=\"30248960\"] \n  23 -> 29 [size =\"30248960\"]\n  23 -> 29 [size =\"30248960\"]\n  23 -> 30 [size =\"30248960\"]\n  23 -> 31 [size =\"30248960\"]\n  23 -> 32 [size =\"30248960\"]\n  24 [size=\"15014400\", alpha=\"0.06\", expect_size=\"6005760\"] \n  24 -> 28 [size =\"6005760\"]\n  24 -> 32 [size =\"6005760\"]\n  25 [size=\"81231360\", alpha=\"0.01\", expect_size=\"32492544\"] \n  25 -> 31 [size =\"32492544\"]\n  25 -> 32 [size =\"32492544\"]\n  26 [size=\"111219200\", alpha=\"0.08\", expect_size=\"44487680\"] \n  26 -> 28 [size =\"44487680\"]\n  26 -> 30 [size =\"44487680\"]\n  26 -> 32 [size =\"44487680\"]\n  27 [size=\"76549120\", alpha=\"0.00\", expect_size=\"30619648\"] \n  27 -> 28 [size =\"30619648\"]\n  27 -> 29 [size =\"30619648\"]\n  27 -> 30 [size =\"30619648\"]\n  27 -> 31 [size =\"30619648\"]\n  27 -> 32 [size =\"30619648\"]\n  28 [size=\"81100800\", alpha=\"0.05\", expect_size=\"32440320\"] \n  28 -> 35 [size =\"32440320\"]\n  28 -> 37 [size =\"32440320\"]\n  28 -> 40 [size =\"32440320\"]\n  29 [size=\"80865280\", alpha=\"0.17\", expect_size=\"32346112\"] \n  29 -> 37 [size =\"32346112\"]\n  29 -> 38 [size =\"32346112\"]\n  29 -> 41 [size =\"32346112\"]\n  30 [size=\"56499200\", alpha=\"0.05\", expect_size=\"22599680\"] \n  30 -> 34 [size =\"22599680\"]\n  30 -> 37 [size =\"22599680\"]\n  30 -> 40 [size =\"22599680\"]\n  31 [size=\"94325760\", alpha=\"0.18\", expect_size=\"37730304\"] \n  31 -> 34 [size =\"37730304\"]\n  31 -> 36 [size =\"37730304\"]\n  31 -> 39 [size =\"37730304\"]\n  31 -> 40 [size =\"37730304\"]\n  32 [size=\"85519360\", alpha=\"0.12\", expect_size=\"34207744\"] \n  32 -> 34 [size =\"34207744\"]\n  32 -> 36 [size =\"34207744\"]\n  32 -> 38 [size =\"34207744\"]\n  33 [size=\"13949440\", alpha=\"0.18\", expect_size=\"5579776\"] \n  33 -> 35 [size =\"5579776\"]\n  33 -> 37 [size =\"5579776\"]\n  33 -> 40 [size =\"5579776\"]\n  34 [size=\"102353920\", alpha=\"0.16\", expect_size=\"40941568\"] \n  34 -> 45 [size =\"40941568\"]\n  34 -> 47 [size =\"40941568\"]\n  35 [size=\"22330880\", alpha=\"0.15\", expect_size=\"8932352\"] \n  35 -> 42 [size =\"8932352\"]\n  36 [size=\"28078080\", alpha=\"0.10\", expect_size=\"11231232\"] \n  36 -> 43 [size =\"11231232\"]\n  36 -> 44 [size =\"11231232\"]\n  37 [size=\"76444160\", alpha=\"0.19\", expect_size=\"30577664\"] \n  38 [size=\"77647360\", alpha=\"0.07\", expect_size=\"31058944\"] \n  38 -> 42 [size =\"31058944\"]\n  38 -> 46 [size =\"31058944\"]\n  39 [size=\"109196800\", alpha=\"0.01\", expect_size=\"43678720\"] \n  39 -> 42 [size =\"43678720\"]\n  39 -> 46 [size =\"43678720\"]\n  40 [size=\"94005760\", alpha=\"0.08\", expect_size=\"37602304\"] \n  40 -> 42 [size =\"37602304\"]\n  41 [size=\"123240960\", alpha=\"0.05\", expect_size=\"49296384\"] \n  41 -> 44 [size =\"49296384\"]\n  41 -> 46 [size =\"49296384\"]\n  42 [size=\"110062080\", alpha=\"0.20\", expect_size=\"44024832\"] \n  42 -> 49 [size =\"44024832\"]\n  43 [size=\"63377920\", alpha=\"0.04\", expect_size=\"25351168\"] \n  43 -> 48 [size =\"25351168\"]\n  43 -> 50 [size =\"25351168\"]\n  44 [size=\"50795520\", alpha=\"0.09\", expect_size=\"20318208\"] \n  44 -> 49 [size =\"20318208\"]\n  44 -> 50 [size =\"20318208\"]\n  45 [size=\"26657280\", alpha=\"0.06\", expect_size=\"10662912\"] \n  45 -> 50 [size =\"10662912\"]\n  46 [size=\"117373440\", alpha=\"0.19\", expect_size=\"46949376\"] \n  46 -> 48 [size =\"46949376\"]\n  47 [size=\"60019200\", alpha=\"0.03\", expect_size=\"24007680\"] \n  47 -> 50 [size =\"24007680\"]\n  48 [size=\"54960640\", alpha=\"0.19\", expect_size=\"21984256\"] \n  49 [size=\"93365760\", alpha=\"0.06\", expect_size=\"37346304\"] \n  50 [size=\"96396800\", alpha=\"0.20\", expect_size=\"38558720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.421.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41039872\", alpha=\"0.00\", expect_size=\"20519936\"] \n  1 -> 5 [size =\"20519936\"]\n  2 [size=\"74455040\", alpha=\"0.04\", expect_size=\"37227520\"] \n  2 -> 5 [size =\"37227520\"]\n  3 [size=\"32454656\", alpha=\"0.16\", expect_size=\"16227328\"] \n  3 -> 5 [size =\"16227328\"]\n  4 [size=\"16562176\", alpha=\"0.14\", expect_size=\"8281088\"] \n  4 -> 5 [size =\"8281088\"]\n  5 [size=\"31465472\", alpha=\"0.06\", expect_size=\"15732736\"] \n  5 -> 6 [size =\"15732736\"]\n  5 -> 7 [size =\"15732736\"]\n  5 -> 8 [size =\"15732736\"]\n  6 [size=\"87595008\", alpha=\"0.10\", expect_size=\"43797504\"] \n  6 -> 9 [size =\"43797504\"]\n  6 -> 10 [size =\"43797504\"]\n  6 -> 11 [size =\"43797504\"]\n  7 [size=\"102825984\", alpha=\"0.09\", expect_size=\"51412992\"] \n  7 -> 9 [size =\"51412992\"]\n  7 -> 10 [size =\"51412992\"]\n  7 -> 11 [size =\"51412992\"]\n  8 [size=\"91011072\", alpha=\"0.05\", expect_size=\"45505536\"] \n  8 -> 9 [size =\"45505536\"]\n  8 -> 10 [size =\"45505536\"]\n  8 -> 11 [size =\"45505536\"]\n  9 [size=\"89389056\", alpha=\"0.14\", expect_size=\"44694528\"] \n  9 -> 12 [size =\"44694528\"]\n  9 -> 14 [size =\"44694528\"]\n  10 [size=\"95854592\", alpha=\"0.01\", expect_size=\"47927296\"] \n  10 -> 12 [size =\"47927296\"]\n  10 -> 13 [size =\"47927296\"]\n  10 -> 14 [size =\"47927296\"]\n  11 [size=\"92598272\", alpha=\"0.06\", expect_size=\"46299136\"] \n  11 -> 12 [size =\"46299136\"]\n  11 -> 13 [size =\"46299136\"]\n  11 -> 14 [size =\"46299136\"]\n  12 [size=\"94869504\", alpha=\"0.14\", expect_size=\"47434752\"] \n  12 -> 15 [size =\"47434752\"]\n  12 -> 16 [size =\"47434752\"]\n  13 [size=\"17332224\", alpha=\"0.16\", expect_size=\"8666112\"] \n  13 -> 16 [size =\"8666112\"]\n  14 [size=\"94621696\", alpha=\"0.18\", expect_size=\"47310848\"] \n  14 -> 15 [size =\"47310848\"]\n  14 -> 16 [size =\"47310848\"]\n  15 [size=\"68216832\", alpha=\"0.11\", expect_size=\"34108416\"] \n  15 -> 18 [size =\"34108416\"]\n  16 [size=\"94724096\", alpha=\"0.11\", expect_size=\"47362048\"] \n  16 -> 17 [size =\"47362048\"]\n  16 -> 18 [size =\"47362048\"]\n  17 [size=\"46284800\", alpha=\"0.06\", expect_size=\"23142400\"] \n  17 -> 19 [size =\"23142400\"]\n  18 [size=\"89614336\", alpha=\"0.03\", expect_size=\"44807168\"] \n  18 -> 19 [size =\"44807168\"]\n  19 [size=\"18753536\", alpha=\"0.15\", expect_size=\"9376768\"] \n  19 -> 20 [size =\"9376768\"]\n  19 -> 21 [size =\"9376768\"]\n  19 -> 22 [size =\"9376768\"]\n  20 [size=\"84430848\", alpha=\"0.09\", expect_size=\"42215424\"] \n  20 -> 23 [size =\"42215424\"]\n  20 -> 25 [size =\"42215424\"]\n  21 [size=\"86929408\", alpha=\"0.10\", expect_size=\"43464704\"] \n  21 -> 23 [size =\"43464704\"]\n  21 -> 24 [size =\"43464704\"]\n  21 -> 25 [size =\"43464704\"]\n  21 -> 26 [size =\"43464704\"]\n  22 [size=\"22495232\", alpha=\"0.04\", expect_size=\"11247616\"] \n  22 -> 24 [size =\"11247616\"]\n  22 -> 25 [size =\"11247616\"]\n  23 [size=\"86982656\", alpha=\"0.03\", expect_size=\"43491328\"] \n  23 -> 30 [size =\"43491328\"]\n  24 [size=\"65908736\", alpha=\"0.03\", expect_size=\"32954368\"] \n  24 -> 29 [size =\"32954368\"]\n  24 -> 30 [size =\"32954368\"]\n  25 [size=\"55199744\", alpha=\"0.08\", expect_size=\"27599872\"] \n  25 -> 28 [size =\"27599872\"]\n  25 -> 30 [size =\"27599872\"]\n  26 [size=\"13099008\", alpha=\"0.08\", expect_size=\"6549504\"] \n  26 -> 27 [size =\"6549504\"]\n  26 -> 28 [size =\"6549504\"]\n  26 -> 30 [size =\"6549504\"]\n  27 [size=\"65056768\", alpha=\"0.09\", expect_size=\"32528384\"] \n  28 [size=\"92909568\", alpha=\"0.07\", expect_size=\"46454784\"] \n  28 -> 31 [size =\"46454784\"]\n  29 [size=\"104847360\", alpha=\"0.01\", expect_size=\"52423680\"] \n  30 [size=\"80633856\", alpha=\"0.13\", expect_size=\"40316928\"] \n  31 [size=\"28934144\", alpha=\"0.03\", expect_size=\"14467072\"] \n  31 -> 32 [size =\"14467072\"]\n  31 -> 33 [size =\"14467072\"]\n  31 -> 34 [size =\"14467072\"]\n  32 [size=\"74680320\", alpha=\"0.11\", expect_size=\"37340160\"] \n  32 -> 36 [size =\"37340160\"]\n  32 -> 36 [size =\"37340160\"]\n  32 -> 37 [size =\"37340160\"]\n  32 -> 38 [size =\"37340160\"]\n  33 [size=\"93095936\", alpha=\"0.20\", expect_size=\"46547968\"] \n  33 -> 37 [size =\"46547968\"]\n  33 -> 38 [size =\"46547968\"]\n  34 [size=\"11778048\", alpha=\"0.07\", expect_size=\"5889024\"] \n  34 -> 35 [size =\"5889024\"]\n  34 -> 36 [size =\"5889024\"]\n  34 -> 38 [size =\"5889024\"]\n  35 [size=\"25546752\", alpha=\"0.06\", expect_size=\"12773376\"] \n  35 -> 39 [size =\"12773376\"]\n  35 -> 41 [size =\"12773376\"]\n  36 [size=\"61014016\", alpha=\"0.03\", expect_size=\"30507008\"] \n  36 -> 39 [size =\"30507008\"]\n  36 -> 40 [size =\"30507008\"]\n  37 [size=\"100915200\", alpha=\"0.08\", expect_size=\"50457600\"] \n  37 -> 39 [size =\"50457600\"]\n  37 -> 40 [size =\"50457600\"]\n  37 -> 41 [size =\"50457600\"]\n  38 [size=\"48850944\", alpha=\"0.09\", expect_size=\"24425472\"] \n  38 -> 39 [size =\"24425472\"]\n  38 -> 41 [size =\"24425472\"]\n  39 [size=\"79718400\", alpha=\"0.12\", expect_size=\"39859200\"] \n  39 -> 42 [size =\"39859200\"]\n  39 -> 43 [size =\"39859200\"]\n  40 [size=\"83677184\", alpha=\"0.11\", expect_size=\"41838592\"] \n  40 -> 42 [size =\"41838592\"]\n  40 -> 43 [size =\"41838592\"]\n  41 [size=\"51730432\", alpha=\"0.06\", expect_size=\"25865216\"] \n  41 -> 43 [size =\"25865216\"]\n  42 [size=\"65986560\", alpha=\"0.04\", expect_size=\"32993280\"] \n  43 [size=\"22085632\", alpha=\"0.17\", expect_size=\"11042816\"] \n  43 -> 44 [size =\"11042816\"]\n  44 [size=\"21252096\", alpha=\"0.03\", expect_size=\"10626048\"] \n  44 -> 45 [size =\"10626048\"]\n  45 [size=\"53245952\", alpha=\"0.18\", expect_size=\"26622976\"] \n  45 -> 46 [size =\"26622976\"]\n  45 -> 47 [size =\"26622976\"]\n  46 [size=\"81430528\", alpha=\"0.14\", expect_size=\"40715264\"] \n  46 -> 48 [size =\"40715264\"]\n  46 -> 49 [size =\"40715264\"]\n  46 -> 50 [size =\"40715264\"]\n  47 [size=\"95674368\", alpha=\"0.01\", expect_size=\"47837184\"] \n  47 -> 48 [size =\"47837184\"]\n  48 [size=\"37404672\", alpha=\"0.05\", expect_size=\"18702336\"] \n  49 [size=\"80123904\", alpha=\"0.10\", expect_size=\"40061952\"] \n  50 [size=\"43356160\", alpha=\"0.09\", expect_size=\"21678080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.422.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77340672\", alpha=\"0.16\", expect_size=\"38670336\"] \n  1 -> 21 [size =\"38670336\"]\n  1 -> 23 [size =\"38670336\"]\n  1 -> 27 [size =\"38670336\"]\n  1 -> 28 [size =\"38670336\"]\n  1 -> 31 [size =\"38670336\"]\n  1 -> 34 [size =\"38670336\"]\n  2 [size=\"51709952\", alpha=\"0.17\", expect_size=\"25854976\"] \n  2 -> 18 [size =\"25854976\"]\n  2 -> 33 [size =\"25854976\"]\n  2 -> 34 [size =\"25854976\"]\n  3 [size=\"24860672\", alpha=\"0.08\", expect_size=\"12430336\"] \n  3 -> 22 [size =\"12430336\"]\n  3 -> 24 [size =\"12430336\"]\n  3 -> 26 [size =\"12430336\"]\n  3 -> 27 [size =\"12430336\"]\n  3 -> 30 [size =\"12430336\"]\n  3 -> 33 [size =\"12430336\"]\n  3 -> 34 [size =\"12430336\"]\n  4 [size=\"20414464\", alpha=\"0.16\", expect_size=\"10207232\"] \n  4 -> 18 [size =\"10207232\"]\n  4 -> 21 [size =\"10207232\"]\n  4 -> 22 [size =\"10207232\"]\n  4 -> 26 [size =\"10207232\"]\n  4 -> 27 [size =\"10207232\"]\n  4 -> 28 [size =\"10207232\"]\n  4 -> 31 [size =\"10207232\"]\n  4 -> 33 [size =\"10207232\"]\n  4 -> 35 [size =\"10207232\"]\n  5 [size=\"46448640\", alpha=\"0.13\", expect_size=\"23224320\"] \n  5 -> 17 [size =\"23224320\"]\n  5 -> 20 [size =\"23224320\"]\n  5 -> 22 [size =\"23224320\"]\n  5 -> 23 [size =\"23224320\"]\n  5 -> 24 [size =\"23224320\"]\n  5 -> 27 [size =\"23224320\"]\n  5 -> 32 [size =\"23224320\"]\n  5 -> 33 [size =\"23224320\"]\n  5 -> 35 [size =\"23224320\"]\n  6 [size=\"32661504\", alpha=\"0.20\", expect_size=\"16330752\"] \n  6 -> 20 [size =\"16330752\"]\n  6 -> 20 [size =\"16330752\"]\n  6 -> 24 [size =\"16330752\"]\n  6 -> 27 [size =\"16330752\"]\n  6 -> 31 [size =\"16330752\"]\n  6 -> 33 [size =\"16330752\"]\n  6 -> 34 [size =\"16330752\"]\n  7 [size=\"50194432\", alpha=\"0.19\", expect_size=\"25097216\"] \n  7 -> 17 [size =\"25097216\"]\n  7 -> 22 [size =\"25097216\"]\n  7 -> 24 [size =\"25097216\"]\n  7 -> 25 [size =\"25097216\"]\n  7 -> 26 [size =\"25097216\"]\n  7 -> 30 [size =\"25097216\"]\n  7 -> 33 [size =\"25097216\"]\n  7 -> 34 [size =\"25097216\"]\n  8 [size=\"90810368\", alpha=\"0.14\", expect_size=\"45405184\"] \n  8 -> 17 [size =\"45405184\"]\n  8 -> 18 [size =\"45405184\"]\n  8 -> 24 [size =\"45405184\"]\n  8 -> 26 [size =\"45405184\"]\n  8 -> 26 [size =\"45405184\"]\n  8 -> 27 [size =\"45405184\"]\n  8 -> 29 [size =\"45405184\"]\n  8 -> 33 [size =\"45405184\"]\n  9 [size=\"11939840\", alpha=\"0.15\", expect_size=\"5969920\"] \n  9 -> 18 [size =\"5969920\"]\n  9 -> 21 [size =\"5969920\"]\n  9 -> 25 [size =\"5969920\"]\n  9 -> 26 [size =\"5969920\"]\n  9 -> 28 [size =\"5969920\"]\n  9 -> 30 [size =\"5969920\"]\n  9 -> 34 [size =\"5969920\"]\n  10 [size=\"93454336\", alpha=\"0.14\", expect_size=\"46727168\"] \n  10 -> 18 [size =\"46727168\"]\n  10 -> 24 [size =\"46727168\"]\n  10 -> 25 [size =\"46727168\"]\n  10 -> 26 [size =\"46727168\"]\n  10 -> 27 [size =\"46727168\"]\n  10 -> 28 [size =\"46727168\"]\n  10 -> 29 [size =\"46727168\"]\n  10 -> 33 [size =\"46727168\"]\n  11 [size=\"62332928\", alpha=\"0.04\", expect_size=\"31166464\"] \n  11 -> 19 [size =\"31166464\"]\n  11 -> 25 [size =\"31166464\"]\n  11 -> 25 [size =\"31166464\"]\n  11 -> 28 [size =\"31166464\"]\n  11 -> 29 [size =\"31166464\"]\n  11 -> 35 [size =\"31166464\"]\n  12 [size=\"41576448\", alpha=\"0.09\", expect_size=\"20788224\"] \n  12 -> 18 [size =\"20788224\"]\n  12 -> 20 [size =\"20788224\"]\n  12 -> 21 [size =\"20788224\"]\n  12 -> 22 [size =\"20788224\"]\n  12 -> 25 [size =\"20788224\"]\n  12 -> 26 [size =\"20788224\"]\n  12 -> 30 [size =\"20788224\"]\n  12 -> 31 [size =\"20788224\"]\n  12 -> 33 [size =\"20788224\"]\n  13 [size=\"29284352\", alpha=\"0.17\", expect_size=\"14642176\"] \n  13 -> 20 [size =\"14642176\"]\n  13 -> 21 [size =\"14642176\"]\n  13 -> 22 [size =\"14642176\"]\n  13 -> 25 [size =\"14642176\"]\n  13 -> 25 [size =\"14642176\"]\n  13 -> 26 [size =\"14642176\"]\n  13 -> 27 [size =\"14642176\"]\n  13 -> 30 [size =\"14642176\"]\n  13 -> 31 [size =\"14642176\"]\n  13 -> 33 [size =\"14642176\"]\n  13 -> 34 [size =\"14642176\"]\n  14 [size=\"69279744\", alpha=\"0.09\", expect_size=\"34639872\"] \n  14 -> 17 [size =\"34639872\"]\n  14 -> 20 [size =\"34639872\"]\n  14 -> 21 [size =\"34639872\"]\n  14 -> 24 [size =\"34639872\"]\n  14 -> 25 [size =\"34639872\"]\n  14 -> 31 [size =\"34639872\"]\n  15 [size=\"48963584\", alpha=\"0.08\", expect_size=\"24481792\"] \n  15 -> 21 [size =\"24481792\"]\n  15 -> 25 [size =\"24481792\"]\n  15 -> 26 [size =\"24481792\"]\n  15 -> 30 [size =\"24481792\"]\n  15 -> 31 [size =\"24481792\"]\n  15 -> 34 [size =\"24481792\"]\n  16 [size=\"14954496\", alpha=\"0.15\", expect_size=\"7477248\"] \n  16 -> 17 [size =\"7477248\"]\n  16 -> 20 [size =\"7477248\"]\n  16 -> 21 [size =\"7477248\"]\n  16 -> 25 [size =\"7477248\"]\n  16 -> 26 [size =\"7477248\"]\n  16 -> 27 [size =\"7477248\"]\n  16 -> 28 [size =\"7477248\"]\n  16 -> 30 [size =\"7477248\"]\n  16 -> 31 [size =\"7477248\"]\n  16 -> 34 [size =\"7477248\"]\n  17 [size=\"14170112\", alpha=\"0.14\", expect_size=\"7085056\"] \n  17 -> 38 [size =\"7085056\"]\n  17 -> 40 [size =\"7085056\"]\n  17 -> 41 [size =\"7085056\"]\n  17 -> 42 [size =\"7085056\"]\n  17 -> 43 [size =\"7085056\"]\n  17 -> 49 [size =\"7085056\"]\n  18 [size=\"103632896\", alpha=\"0.17\", expect_size=\"51816448\"] \n  18 -> 36 [size =\"51816448\"]\n  18 -> 40 [size =\"51816448\"]\n  18 -> 41 [size =\"51816448\"]\n  18 -> 42 [size =\"51816448\"]\n  18 -> 44 [size =\"51816448\"]\n  18 -> 49 [size =\"51816448\"]\n  18 -> 50 [size =\"51816448\"]\n  19 [size=\"73981952\", alpha=\"0.18\", expect_size=\"36990976\"] \n  19 -> 36 [size =\"36990976\"]\n  19 -> 38 [size =\"36990976\"]\n  19 -> 42 [size =\"36990976\"]\n  19 -> 46 [size =\"36990976\"]\n  19 -> 47 [size =\"36990976\"]\n  19 -> 49 [size =\"36990976\"]\n  20 [size=\"48709632\", alpha=\"0.11\", expect_size=\"24354816\"] \n  20 -> 36 [size =\"24354816\"]\n  20 -> 38 [size =\"24354816\"]\n  20 -> 46 [size =\"24354816\"]\n  20 -> 47 [size =\"24354816\"]\n  20 -> 48 [size =\"24354816\"]\n  21 [size=\"22685696\", alpha=\"0.19\", expect_size=\"11342848\"] \n  21 -> 36 [size =\"11342848\"]\n  21 -> 37 [size =\"11342848\"]\n  21 -> 39 [size =\"11342848\"]\n  21 -> 42 [size =\"11342848\"]\n  21 -> 44 [size =\"11342848\"]\n  21 -> 45 [size =\"11342848\"]\n  21 -> 46 [size =\"11342848\"]\n  21 -> 48 [size =\"11342848\"]\n  22 [size=\"41224192\", alpha=\"0.15\", expect_size=\"20612096\"] \n  22 -> 36 [size =\"20612096\"]\n  22 -> 42 [size =\"20612096\"]\n  22 -> 44 [size =\"20612096\"]\n  22 -> 45 [size =\"20612096\"]\n  22 -> 48 [size =\"20612096\"]\n  22 -> 50 [size =\"20612096\"]\n  23 [size=\"84543488\", alpha=\"0.14\", expect_size=\"42271744\"] \n  23 -> 39 [size =\"42271744\"]\n  23 -> 41 [size =\"42271744\"]\n  23 -> 43 [size =\"42271744\"]\n  23 -> 44 [size =\"42271744\"]\n  23 -> 47 [size =\"42271744\"]\n  23 -> 48 [size =\"42271744\"]\n  24 [size=\"71892992\", alpha=\"0.15\", expect_size=\"35946496\"] \n  24 -> 38 [size =\"35946496\"]\n  24 -> 39 [size =\"35946496\"]\n  24 -> 40 [size =\"35946496\"]\n  24 -> 41 [size =\"35946496\"]\n  24 -> 44 [size =\"35946496\"]\n  24 -> 45 [size =\"35946496\"]\n  24 -> 46 [size =\"35946496\"]\n  24 -> 47 [size =\"35946496\"]\n  24 -> 50 [size =\"35946496\"]\n  25 [size=\"21680128\", alpha=\"0.04\", expect_size=\"10840064\"] \n  25 -> 36 [size =\"10840064\"]\n  25 -> 39 [size =\"10840064\"]\n  25 -> 41 [size =\"10840064\"]\n  25 -> 43 [size =\"10840064\"]\n  25 -> 44 [size =\"10840064\"]\n  25 -> 45 [size =\"10840064\"]\n  25 -> 48 [size =\"10840064\"]\n  25 -> 50 [size =\"10840064\"]\n  26 [size=\"61138944\", alpha=\"0.18\", expect_size=\"30569472\"] \n  26 -> 36 [size =\"30569472\"]\n  26 -> 38 [size =\"30569472\"]\n  26 -> 39 [size =\"30569472\"]\n  26 -> 40 [size =\"30569472\"]\n  26 -> 41 [size =\"30569472\"]\n  26 -> 42 [size =\"30569472\"]\n  26 -> 44 [size =\"30569472\"]\n  26 -> 45 [size =\"30569472\"]\n  26 -> 46 [size =\"30569472\"]\n  26 -> 47 [size =\"30569472\"]\n  26 -> 48 [size =\"30569472\"]\n  26 -> 50 [size =\"30569472\"]\n  27 [size=\"35571712\", alpha=\"0.00\", expect_size=\"17785856\"] \n  27 -> 36 [size =\"17785856\"]\n  27 -> 44 [size =\"17785856\"]\n  27 -> 45 [size =\"17785856\"]\n  28 [size=\"100175872\", alpha=\"0.19\", expect_size=\"50087936\"] \n  28 -> 37 [size =\"50087936\"]\n  28 -> 42 [size =\"50087936\"]\n  28 -> 44 [size =\"50087936\"]\n  28 -> 46 [size =\"50087936\"]\n  28 -> 47 [size =\"50087936\"]\n  28 -> 50 [size =\"50087936\"]\n  29 [size=\"86210560\", alpha=\"0.19\", expect_size=\"43105280\"] \n  29 -> 39 [size =\"43105280\"]\n  29 -> 40 [size =\"43105280\"]\n  29 -> 42 [size =\"43105280\"]\n  29 -> 44 [size =\"43105280\"]\n  29 -> 45 [size =\"43105280\"]\n  29 -> 46 [size =\"43105280\"]\n  29 -> 47 [size =\"43105280\"]\n  29 -> 48 [size =\"43105280\"]\n  30 [size=\"76015616\", alpha=\"0.16\", expect_size=\"38007808\"] \n  30 -> 36 [size =\"38007808\"]\n  30 -> 40 [size =\"38007808\"]\n  30 -> 41 [size =\"38007808\"]\n  30 -> 42 [size =\"38007808\"]\n  30 -> 46 [size =\"38007808\"]\n  30 -> 47 [size =\"38007808\"]\n  30 -> 48 [size =\"38007808\"]\n  30 -> 49 [size =\"38007808\"]\n  31 [size=\"34142208\", alpha=\"0.04\", expect_size=\"17071104\"] \n  31 -> 36 [size =\"17071104\"]\n  31 -> 41 [size =\"17071104\"]\n  31 -> 42 [size =\"17071104\"]\n  31 -> 45 [size =\"17071104\"]\n  31 -> 47 [size =\"17071104\"]\n  31 -> 49 [size =\"17071104\"]\n  32 [size=\"27445248\", alpha=\"0.18\", expect_size=\"13722624\"] \n  32 -> 37 [size =\"13722624\"]\n  32 -> 41 [size =\"13722624\"]\n  32 -> 42 [size =\"13722624\"]\n  32 -> 43 [size =\"13722624\"]\n  32 -> 44 [size =\"13722624\"]\n  32 -> 46 [size =\"13722624\"]\n  32 -> 48 [size =\"13722624\"]\n  33 [size=\"97150976\", alpha=\"0.17\", expect_size=\"48575488\"] \n  33 -> 41 [size =\"48575488\"]\n  33 -> 42 [size =\"48575488\"]\n  33 -> 44 [size =\"48575488\"]\n  33 -> 45 [size =\"48575488\"]\n  33 -> 48 [size =\"48575488\"]\n  34 [size=\"68890624\", alpha=\"0.08\", expect_size=\"34445312\"] \n  34 -> 37 [size =\"34445312\"]\n  34 -> 38 [size =\"34445312\"]\n  34 -> 40 [size =\"34445312\"]\n  34 -> 44 [size =\"34445312\"]\n  34 -> 45 [size =\"34445312\"]\n  35 [size=\"46968832\", alpha=\"0.07\", expect_size=\"23484416\"] \n  35 -> 38 [size =\"23484416\"]\n  35 -> 39 [size =\"23484416\"]\n  35 -> 41 [size =\"23484416\"]\n  35 -> 42 [size =\"23484416\"]\n  35 -> 43 [size =\"23484416\"]\n  35 -> 49 [size =\"23484416\"]\n  36 [size=\"67350528\", alpha=\"0.07\", expect_size=\"33675264\"] \n  37 [size=\"57835520\", alpha=\"0.08\", expect_size=\"28917760\"] \n  38 [size=\"58140672\", alpha=\"0.09\", expect_size=\"29070336\"] \n  39 [size=\"54214656\", alpha=\"0.03\", expect_size=\"27107328\"] \n  40 [size=\"47515648\", alpha=\"0.05\", expect_size=\"23757824\"] \n  41 [size=\"26640384\", alpha=\"0.10\", expect_size=\"13320192\"] \n  42 [size=\"43436032\", alpha=\"0.01\", expect_size=\"21718016\"] \n  43 [size=\"34625536\", alpha=\"0.08\", expect_size=\"17312768\"] \n  44 [size=\"19005440\", alpha=\"0.08\", expect_size=\"9502720\"] \n  45 [size=\"55373824\", alpha=\"0.10\", expect_size=\"27686912\"] \n  46 [size=\"87836672\", alpha=\"0.03\", expect_size=\"43918336\"] \n  47 [size=\"26490880\", alpha=\"0.02\", expect_size=\"13245440\"] \n  48 [size=\"63766528\", alpha=\"0.19\", expect_size=\"31883264\"] \n  49 [size=\"104067072\", alpha=\"0.13\", expect_size=\"52033536\"] \n  50 [size=\"22142976\", alpha=\"0.00\", expect_size=\"11071488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.423.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28984320\", alpha=\"0.05\", expect_size=\"11593728\"] \n  1 -> 21 [size =\"11593728\"]\n  1 -> 24 [size =\"11593728\"]\n  1 -> 25 [size =\"11593728\"]\n  1 -> 26 [size =\"11593728\"]\n  1 -> 27 [size =\"11593728\"]\n  1 -> 29 [size =\"11593728\"]\n  1 -> 31 [size =\"11593728\"]\n  2 [size=\"40081920\", alpha=\"0.01\", expect_size=\"16032768\"] \n  2 -> 19 [size =\"16032768\"]\n  2 -> 22 [size =\"16032768\"]\n  2 -> 23 [size =\"16032768\"]\n  2 -> 27 [size =\"16032768\"]\n  2 -> 28 [size =\"16032768\"]\n  2 -> 29 [size =\"16032768\"]\n  2 -> 30 [size =\"16032768\"]\n  3 [size=\"65456640\", alpha=\"0.02\", expect_size=\"26182656\"] \n  3 -> 19 [size =\"26182656\"]\n  3 -> 20 [size =\"26182656\"]\n  3 -> 23 [size =\"26182656\"]\n  3 -> 29 [size =\"26182656\"]\n  3 -> 31 [size =\"26182656\"]\n  3 -> 33 [size =\"26182656\"]\n  4 [size=\"113221120\", alpha=\"0.13\", expect_size=\"45288448\"] \n  4 -> 19 [size =\"45288448\"]\n  4 -> 21 [size =\"45288448\"]\n  4 -> 23 [size =\"45288448\"]\n  4 -> 24 [size =\"45288448\"]\n  4 -> 29 [size =\"45288448\"]\n  4 -> 31 [size =\"45288448\"]\n  5 [size=\"112686080\", alpha=\"0.14\", expect_size=\"45074432\"] \n  5 -> 21 [size =\"45074432\"]\n  5 -> 23 [size =\"45074432\"]\n  5 -> 25 [size =\"45074432\"]\n  5 -> 28 [size =\"45074432\"]\n  6 [size=\"84344320\", alpha=\"0.18\", expect_size=\"33737728\"] \n  6 -> 23 [size =\"33737728\"]\n  6 -> 24 [size =\"33737728\"]\n  6 -> 25 [size =\"33737728\"]\n  6 -> 29 [size =\"33737728\"]\n  6 -> 32 [size =\"33737728\"]\n  6 -> 33 [size =\"33737728\"]\n  7 [size=\"125248000\", alpha=\"0.20\", expect_size=\"50099200\"] \n  7 -> 28 [size =\"50099200\"]\n  7 -> 29 [size =\"50099200\"]\n  7 -> 30 [size =\"50099200\"]\n  7 -> 33 [size =\"50099200\"]\n  8 [size=\"18058240\", alpha=\"0.19\", expect_size=\"7223296\"] \n  8 -> 21 [size =\"7223296\"]\n  8 -> 26 [size =\"7223296\"]\n  8 -> 28 [size =\"7223296\"]\n  8 -> 29 [size =\"7223296\"]\n  8 -> 31 [size =\"7223296\"]\n  8 -> 33 [size =\"7223296\"]\n  9 [size=\"128340480\", alpha=\"0.19\", expect_size=\"51336192\"] \n  9 -> 26 [size =\"51336192\"]\n  9 -> 26 [size =\"51336192\"]\n  9 -> 29 [size =\"51336192\"]\n  9 -> 31 [size =\"51336192\"]\n  9 -> 32 [size =\"51336192\"]\n  10 [size=\"117921280\", alpha=\"0.12\", expect_size=\"47168512\"] \n  10 -> 21 [size =\"47168512\"]\n  10 -> 23 [size =\"47168512\"]\n  10 -> 25 [size =\"47168512\"]\n  10 -> 26 [size =\"47168512\"]\n  10 -> 28 [size =\"47168512\"]\n  10 -> 33 [size =\"47168512\"]\n  11 [size=\"94737920\", alpha=\"0.20\", expect_size=\"37895168\"] \n  11 -> 23 [size =\"37895168\"]\n  11 -> 24 [size =\"37895168\"]\n  11 -> 28 [size =\"37895168\"]\n  11 -> 31 [size =\"37895168\"]\n  11 -> 32 [size =\"37895168\"]\n  11 -> 33 [size =\"37895168\"]\n  12 [size=\"122493440\", alpha=\"0.07\", expect_size=\"48997376\"] \n  12 -> 23 [size =\"48997376\"]\n  12 -> 24 [size =\"48997376\"]\n  12 -> 30 [size =\"48997376\"]\n  12 -> 31 [size =\"48997376\"]\n  12 -> 32 [size =\"48997376\"]\n  12 -> 33 [size =\"48997376\"]\n  13 [size=\"130475520\", alpha=\"0.02\", expect_size=\"52190208\"] \n  13 -> 19 [size =\"52190208\"]\n  13 -> 21 [size =\"52190208\"]\n  13 -> 22 [size =\"52190208\"]\n  13 -> 26 [size =\"52190208\"]\n  13 -> 31 [size =\"52190208\"]\n  13 -> 33 [size =\"52190208\"]\n  14 [size=\"24550400\", alpha=\"0.16\", expect_size=\"9820160\"] \n  14 -> 19 [size =\"9820160\"]\n  14 -> 21 [size =\"9820160\"]\n  14 -> 30 [size =\"9820160\"]\n  14 -> 32 [size =\"9820160\"]\n  15 [size=\"103285760\", alpha=\"0.15\", expect_size=\"41314304\"] \n  15 -> 21 [size =\"41314304\"]\n  15 -> 26 [size =\"41314304\"]\n  16 [size=\"66352640\", alpha=\"0.12\", expect_size=\"26541056\"] \n  16 -> 20 [size =\"26541056\"]\n  16 -> 32 [size =\"26541056\"]\n  16 -> 33 [size =\"26541056\"]\n  17 [size=\"57479680\", alpha=\"0.07\", expect_size=\"22991872\"] \n  17 -> 22 [size =\"22991872\"]\n  17 -> 24 [size =\"22991872\"]\n  17 -> 27 [size =\"22991872\"]\n  17 -> 31 [size =\"22991872\"]\n  17 -> 32 [size =\"22991872\"]\n  18 [size=\"54917120\", alpha=\"0.11\", expect_size=\"21966848\"] \n  18 -> 23 [size =\"21966848\"]\n  18 -> 24 [size =\"21966848\"]\n  18 -> 27 [size =\"21966848\"]\n  18 -> 28 [size =\"21966848\"]\n  18 -> 29 [size =\"21966848\"]\n  18 -> 32 [size =\"21966848\"]\n  19 [size=\"51072000\", alpha=\"0.17\", expect_size=\"20428800\"] \n  19 -> 41 [size =\"20428800\"]\n  19 -> 43 [size =\"20428800\"]\n  19 -> 44 [size =\"20428800\"]\n  19 -> 45 [size =\"20428800\"]\n  19 -> 47 [size =\"20428800\"]\n  20 [size=\"42583040\", alpha=\"0.13\", expect_size=\"17033216\"] \n  20 -> 36 [size =\"17033216\"]\n  20 -> 37 [size =\"17033216\"]\n  20 -> 40 [size =\"17033216\"]\n  20 -> 42 [size =\"17033216\"]\n  20 -> 44 [size =\"17033216\"]\n  21 [size=\"113876480\", alpha=\"0.12\", expect_size=\"45550592\"] \n  21 -> 37 [size =\"45550592\"]\n  21 -> 43 [size =\"45550592\"]\n  22 [size=\"111498240\", alpha=\"0.16\", expect_size=\"44599296\"] \n  22 -> 36 [size =\"44599296\"]\n  22 -> 37 [size =\"44599296\"]\n  22 -> 38 [size =\"44599296\"]\n  22 -> 41 [size =\"44599296\"]\n  23 [size=\"36774400\", alpha=\"0.08\", expect_size=\"14709760\"] \n  23 -> 34 [size =\"14709760\"]\n  23 -> 35 [size =\"14709760\"]\n  23 -> 36 [size =\"14709760\"]\n  23 -> 41 [size =\"14709760\"]\n  23 -> 43 [size =\"14709760\"]\n  23 -> 47 [size =\"14709760\"]\n  24 [size=\"47065600\", alpha=\"0.18\", expect_size=\"18826240\"] \n  24 -> 34 [size =\"18826240\"]\n  24 -> 35 [size =\"18826240\"]\n  24 -> 38 [size =\"18826240\"]\n  24 -> 41 [size =\"18826240\"]\n  24 -> 43 [size =\"18826240\"]\n  24 -> 44 [size =\"18826240\"]\n  24 -> 47 [size =\"18826240\"]\n  25 [size=\"25223680\", alpha=\"0.04\", expect_size=\"10089472\"] \n  25 -> 35 [size =\"10089472\"]\n  25 -> 38 [size =\"10089472\"]\n  25 -> 39 [size =\"10089472\"]\n  25 -> 41 [size =\"10089472\"]\n  25 -> 42 [size =\"10089472\"]\n  25 -> 48 [size =\"10089472\"]\n  25 -> 49 [size =\"10089472\"]\n  26 [size=\"114603520\", alpha=\"0.02\", expect_size=\"45841408\"] \n  26 -> 37 [size =\"45841408\"]\n  26 -> 39 [size =\"45841408\"]\n  26 -> 48 [size =\"45841408\"]\n  26 -> 49 [size =\"45841408\"]\n  27 [size=\"66178560\", alpha=\"0.20\", expect_size=\"26471424\"] \n  27 -> 38 [size =\"26471424\"]\n  27 -> 42 [size =\"26471424\"]\n  27 -> 47 [size =\"26471424\"]\n  27 -> 48 [size =\"26471424\"]\n  28 [size=\"109504000\", alpha=\"0.18\", expect_size=\"43801600\"] \n  28 -> 34 [size =\"43801600\"]\n  28 -> 37 [size =\"43801600\"]\n  28 -> 39 [size =\"43801600\"]\n  28 -> 43 [size =\"43801600\"]\n  28 -> 47 [size =\"43801600\"]\n  29 [size=\"58928640\", alpha=\"0.16\", expect_size=\"23571456\"] \n  29 -> 34 [size =\"23571456\"]\n  29 -> 43 [size =\"23571456\"]\n  29 -> 44 [size =\"23571456\"]\n  29 -> 46 [size =\"23571456\"]\n  30 [size=\"39621120\", alpha=\"0.11\", expect_size=\"15848448\"] \n  30 -> 34 [size =\"15848448\"]\n  30 -> 35 [size =\"15848448\"]\n  30 -> 37 [size =\"15848448\"]\n  30 -> 43 [size =\"15848448\"]\n  30 -> 47 [size =\"15848448\"]\n  31 [size=\"116546560\", alpha=\"0.01\", expect_size=\"46618624\"] \n  31 -> 36 [size =\"46618624\"]\n  31 -> 41 [size =\"46618624\"]\n  31 -> 42 [size =\"46618624\"]\n  31 -> 44 [size =\"46618624\"]\n  31 -> 46 [size =\"46618624\"]\n  32 [size=\"69655040\", alpha=\"0.09\", expect_size=\"27862016\"] \n  32 -> 35 [size =\"27862016\"]\n  32 -> 37 [size =\"27862016\"]\n  32 -> 46 [size =\"27862016\"]\n  33 [size=\"43888640\", alpha=\"0.16\", expect_size=\"17555456\"] \n  33 -> 37 [size =\"17555456\"]\n  33 -> 41 [size =\"17555456\"]\n  33 -> 46 [size =\"17555456\"]\n  33 -> 47 [size =\"17555456\"]\n  34 [size=\"91596800\", alpha=\"0.06\", expect_size=\"36638720\"] \n  34 -> 50 [size =\"36638720\"]\n  35 [size=\"76963840\", alpha=\"0.11\", expect_size=\"30785536\"] \n  36 [size=\"99568640\", alpha=\"0.05\", expect_size=\"39827456\"] \n  37 [size=\"112686080\", alpha=\"0.07\", expect_size=\"45074432\"] \n  38 [size=\"110494720\", alpha=\"0.16\", expect_size=\"44197888\"] \n  39 [size=\"97943040\", alpha=\"0.11\", expect_size=\"39177216\"] \n  39 -> 50 [size =\"39177216\"]\n  40 [size=\"72304640\", alpha=\"0.11\", expect_size=\"28921856\"] \n  41 [size=\"20431360\", alpha=\"0.08\", expect_size=\"8172544\"] \n  42 [size=\"23951360\", alpha=\"0.02\", expect_size=\"9580544\"] \n  42 -> 50 [size =\"9580544\"]\n  43 [size=\"74288640\", alpha=\"0.20\", expect_size=\"29715456\"] \n  44 [size=\"52884480\", alpha=\"0.04\", expect_size=\"21153792\"] \n  45 [size=\"89149440\", alpha=\"0.09\", expect_size=\"35659776\"] \n  46 [size=\"37335040\", alpha=\"0.12\", expect_size=\"14934016\"] \n  47 [size=\"68651520\", alpha=\"0.04\", expect_size=\"27460608\"] \n  48 [size=\"109511680\", alpha=\"0.13\", expect_size=\"43804672\"] \n  49 [size=\"83755520\", alpha=\"0.09\", expect_size=\"33502208\"] \n  50 [size=\"29355520\", alpha=\"0.09\", expect_size=\"11742208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.424.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27080704\", alpha=\"0.11\", expect_size=\"13540352\"] \n  1 -> 2 [size =\"13540352\"]\n  2 [size=\"61171712\", alpha=\"0.20\", expect_size=\"30585856\"] \n  2 -> 3 [size =\"30585856\"]\n  3 [size=\"61751296\", alpha=\"0.17\", expect_size=\"30875648\"] \n  3 -> 4 [size =\"30875648\"]\n  4 [size=\"77623296\", alpha=\"0.00\", expect_size=\"38811648\"] \n  4 -> 5 [size =\"38811648\"]\n  5 [size=\"58501120\", alpha=\"0.10\", expect_size=\"29250560\"] \n  5 -> 6 [size =\"29250560\"]\n  6 [size=\"34150400\", alpha=\"0.15\", expect_size=\"17075200\"] \n  6 -> 7 [size =\"17075200\"]\n  7 [size=\"100249600\", alpha=\"0.10\", expect_size=\"50124800\"] \n  7 -> 8 [size =\"50124800\"]\n  8 [size=\"94480384\", alpha=\"0.07\", expect_size=\"47240192\"] \n  8 -> 9 [size =\"47240192\"]\n  9 [size=\"79884288\", alpha=\"0.18\", expect_size=\"39942144\"] \n  9 -> 10 [size =\"39942144\"]\n  10 [size=\"26505216\", alpha=\"0.08\", expect_size=\"13252608\"] \n  10 -> 11 [size =\"13252608\"]\n  11 [size=\"27525120\", alpha=\"0.08\", expect_size=\"13762560\"] \n  11 -> 12 [size =\"13762560\"]\n  12 [size=\"79247360\", alpha=\"0.19\", expect_size=\"39623680\"] \n  12 -> 13 [size =\"39623680\"]\n  13 [size=\"78370816\", alpha=\"0.12\", expect_size=\"39185408\"] \n  13 -> 14 [size =\"39185408\"]\n  14 [size=\"64761856\", alpha=\"0.03\", expect_size=\"32380928\"] \n  14 -> 15 [size =\"32380928\"]\n  15 [size=\"67059712\", alpha=\"0.00\", expect_size=\"33529856\"] \n  15 -> 16 [size =\"33529856\"]\n  16 [size=\"17680384\", alpha=\"0.13\", expect_size=\"8840192\"] \n  16 -> 17 [size =\"8840192\"]\n  17 [size=\"88369152\", alpha=\"0.18\", expect_size=\"44184576\"] \n  17 -> 18 [size =\"44184576\"]\n  18 [size=\"43300864\", alpha=\"0.05\", expect_size=\"21650432\"] \n  18 -> 19 [size =\"21650432\"]\n  19 [size=\"75814912\", alpha=\"0.12\", expect_size=\"37907456\"] \n  19 -> 20 [size =\"37907456\"]\n  20 [size=\"64729088\", alpha=\"0.14\", expect_size=\"32364544\"] \n  20 -> 21 [size =\"32364544\"]\n  21 [size=\"102301696\", alpha=\"0.20\", expect_size=\"51150848\"] \n  21 -> 22 [size =\"51150848\"]\n  22 [size=\"45465600\", alpha=\"0.16\", expect_size=\"22732800\"] \n  22 -> 23 [size =\"22732800\"]\n  23 [size=\"38514688\", alpha=\"0.03\", expect_size=\"19257344\"] \n  23 -> 24 [size =\"19257344\"]\n  24 [size=\"94109696\", alpha=\"0.05\", expect_size=\"47054848\"] \n  24 -> 25 [size =\"47054848\"]\n  25 [size=\"14567424\", alpha=\"0.16\", expect_size=\"7283712\"] \n  25 -> 26 [size =\"7283712\"]\n  26 [size=\"15468544\", alpha=\"0.13\", expect_size=\"7734272\"] \n  26 -> 27 [size =\"7734272\"]\n  27 [size=\"76943360\", alpha=\"0.09\", expect_size=\"38471680\"] \n  27 -> 28 [size =\"38471680\"]\n  28 [size=\"67911680\", alpha=\"0.02\", expect_size=\"33955840\"] \n  28 -> 29 [size =\"33955840\"]\n  29 [size=\"89997312\", alpha=\"0.10\", expect_size=\"44998656\"] \n  29 -> 30 [size =\"44998656\"]\n  30 [size=\"51900416\", alpha=\"0.02\", expect_size=\"25950208\"] \n  30 -> 31 [size =\"25950208\"]\n  31 [size=\"23824384\", alpha=\"0.17\", expect_size=\"11912192\"] \n  31 -> 32 [size =\"11912192\"]\n  32 [size=\"22362112\", alpha=\"0.07\", expect_size=\"11181056\"] \n  32 -> 33 [size =\"11181056\"]\n  33 [size=\"98201600\", alpha=\"0.11\", expect_size=\"49100800\"] \n  33 -> 34 [size =\"49100800\"]\n  34 [size=\"19494912\", alpha=\"0.07\", expect_size=\"9747456\"] \n  34 -> 35 [size =\"9747456\"]\n  35 [size=\"42121216\", alpha=\"0.15\", expect_size=\"21060608\"] \n  35 -> 36 [size =\"21060608\"]\n  36 [size=\"25356288\", alpha=\"0.04\", expect_size=\"12678144\"] \n  36 -> 37 [size =\"12678144\"]\n  37 [size=\"87234560\", alpha=\"0.09\", expect_size=\"43617280\"] \n  37 -> 38 [size =\"43617280\"]\n  38 [size=\"34408448\", alpha=\"0.02\", expect_size=\"17204224\"] \n  38 -> 39 [size =\"17204224\"]\n  39 [size=\"45244416\", alpha=\"0.09\", expect_size=\"22622208\"] \n  39 -> 40 [size =\"22622208\"]\n  40 [size=\"94771200\", alpha=\"0.07\", expect_size=\"47385600\"] \n  40 -> 41 [size =\"47385600\"]\n  41 [size=\"104634368\", alpha=\"0.04\", expect_size=\"52317184\"] \n  41 -> 42 [size =\"52317184\"]\n  42 [size=\"91877376\", alpha=\"0.09\", expect_size=\"45938688\"] \n  42 -> 43 [size =\"45938688\"]\n  43 [size=\"30887936\", alpha=\"0.20\", expect_size=\"15443968\"] \n  43 -> 44 [size =\"15443968\"]\n  44 [size=\"83924992\", alpha=\"0.08\", expect_size=\"41962496\"] \n  44 -> 45 [size =\"41962496\"]\n  45 [size=\"22151168\", alpha=\"0.18\", expect_size=\"11075584\"] \n  45 -> 46 [size =\"11075584\"]\n  46 [size=\"90884096\", alpha=\"0.08\", expect_size=\"45442048\"] \n  46 -> 47 [size =\"45442048\"]\n  47 [size=\"14202880\", alpha=\"0.13\", expect_size=\"7101440\"] \n  47 -> 48 [size =\"7101440\"]\n  48 [size=\"58740736\", alpha=\"0.09\", expect_size=\"29370368\"] \n  48 -> 49 [size =\"29370368\"]\n  49 [size=\"68567040\", alpha=\"0.03\", expect_size=\"34283520\"] \n  49 -> 50 [size =\"34283520\"]\n  50 [size=\"14641152\", alpha=\"0.05\", expect_size=\"7320576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.425.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118423040\", alpha=\"0.08\", expect_size=\"47369216\"] \n  1 -> 34 [size =\"47369216\"]\n  1 -> 37 [size =\"47369216\"]\n  1 -> 38 [size =\"47369216\"]\n  1 -> 40 [size =\"47369216\"]\n  1 -> 45 [size =\"47369216\"]\n  1 -> 49 [size =\"47369216\"]\n  2 [size=\"103452160\", alpha=\"0.18\", expect_size=\"41380864\"] \n  2 -> 34 [size =\"41380864\"]\n  2 -> 35 [size =\"41380864\"]\n  2 -> 38 [size =\"41380864\"]\n  2 -> 45 [size =\"41380864\"]\n  2 -> 49 [size =\"41380864\"]\n  3 [size=\"26938880\", alpha=\"0.10\", expect_size=\"10775552\"] \n  3 -> 38 [size =\"10775552\"]\n  3 -> 39 [size =\"10775552\"]\n  3 -> 45 [size =\"10775552\"]\n  3 -> 46 [size =\"10775552\"]\n  3 -> 47 [size =\"10775552\"]\n  3 -> 48 [size =\"10775552\"]\n  3 -> 49 [size =\"10775552\"]\n  4 [size=\"116746240\", alpha=\"0.11\", expect_size=\"46698496\"] \n  4 -> 36 [size =\"46698496\"]\n  4 -> 46 [size =\"46698496\"]\n  4 -> 47 [size =\"46698496\"]\n  4 -> 48 [size =\"46698496\"]\n  5 [size=\"37447680\", alpha=\"0.12\", expect_size=\"14979072\"] \n  5 -> 32 [size =\"14979072\"]\n  5 -> 36 [size =\"14979072\"]\n  5 -> 46 [size =\"14979072\"]\n  5 -> 49 [size =\"14979072\"]\n  6 [size=\"73809920\", alpha=\"0.05\", expect_size=\"29523968\"] \n  6 -> 34 [size =\"29523968\"]\n  6 -> 35 [size =\"29523968\"]\n  6 -> 38 [size =\"29523968\"]\n  6 -> 39 [size =\"29523968\"]\n  6 -> 40 [size =\"29523968\"]\n  6 -> 43 [size =\"29523968\"]\n  6 -> 44 [size =\"29523968\"]\n  7 [size=\"29468160\", alpha=\"0.16\", expect_size=\"11787264\"] \n  7 -> 34 [size =\"11787264\"]\n  7 -> 37 [size =\"11787264\"]\n  7 -> 38 [size =\"11787264\"]\n  7 -> 39 [size =\"11787264\"]\n  7 -> 41 [size =\"11787264\"]\n  7 -> 42 [size =\"11787264\"]\n  8 [size=\"105459200\", alpha=\"0.19\", expect_size=\"42183680\"] \n  8 -> 35 [size =\"42183680\"]\n  8 -> 37 [size =\"42183680\"]\n  8 -> 38 [size =\"42183680\"]\n  8 -> 40 [size =\"42183680\"]\n  8 -> 44 [size =\"42183680\"]\n  8 -> 45 [size =\"42183680\"]\n  9 [size=\"80030720\", alpha=\"0.07\", expect_size=\"32012288\"] \n  9 -> 35 [size =\"32012288\"]\n  9 -> 39 [size =\"32012288\"]\n  9 -> 40 [size =\"32012288\"]\n  9 -> 41 [size =\"32012288\"]\n  9 -> 47 [size =\"32012288\"]\n  9 -> 48 [size =\"32012288\"]\n  10 [size=\"18877440\", alpha=\"0.14\", expect_size=\"7550976\"] \n  10 -> 35 [size =\"7550976\"]\n  10 -> 37 [size =\"7550976\"]\n  10 -> 39 [size =\"7550976\"]\n  10 -> 40 [size =\"7550976\"]\n  10 -> 43 [size =\"7550976\"]\n  10 -> 47 [size =\"7550976\"]\n  11 [size=\"102379520\", alpha=\"0.06\", expect_size=\"40951808\"] \n  11 -> 33 [size =\"40951808\"]\n  11 -> 35 [size =\"40951808\"]\n  11 -> 39 [size =\"40951808\"]\n  11 -> 45 [size =\"40951808\"]\n  11 -> 49 [size =\"40951808\"]\n  11 -> 50 [size =\"40951808\"]\n  12 [size=\"28802560\", alpha=\"0.20\", expect_size=\"11521024\"] \n  12 -> 35 [size =\"11521024\"]\n  12 -> 35 [size =\"11521024\"]\n  12 -> 38 [size =\"11521024\"]\n  12 -> 45 [size =\"11521024\"]\n  12 -> 48 [size =\"11521024\"]\n  13 [size=\"18798080\", alpha=\"0.08\", expect_size=\"7519232\"] \n  13 -> 34 [size =\"7519232\"]\n  13 -> 37 [size =\"7519232\"]\n  13 -> 42 [size =\"7519232\"]\n  13 -> 46 [size =\"7519232\"]\n  14 [size=\"76487680\", alpha=\"0.02\", expect_size=\"30595072\"] \n  14 -> 34 [size =\"30595072\"]\n  14 -> 38 [size =\"30595072\"]\n  14 -> 44 [size =\"30595072\"]\n  14 -> 47 [size =\"30595072\"]\n  14 -> 48 [size =\"30595072\"]\n  14 -> 50 [size =\"30595072\"]\n  15 [size=\"25090560\", alpha=\"0.13\", expect_size=\"10036224\"] \n  15 -> 35 [size =\"10036224\"]\n  15 -> 37 [size =\"10036224\"]\n  15 -> 40 [size =\"10036224\"]\n  15 -> 45 [size =\"10036224\"]\n  15 -> 49 [size =\"10036224\"]\n  16 [size=\"93562880\", alpha=\"0.12\", expect_size=\"37425152\"] \n  16 -> 37 [size =\"37425152\"]\n  16 -> 40 [size =\"37425152\"]\n  16 -> 40 [size =\"37425152\"]\n  16 -> 42 [size =\"37425152\"]\n  16 -> 43 [size =\"37425152\"]\n  16 -> 45 [size =\"37425152\"]\n  16 -> 48 [size =\"37425152\"]\n  16 -> 49 [size =\"37425152\"]\n  17 [size=\"124556800\", alpha=\"0.05\", expect_size=\"49822720\"] \n  17 -> 35 [size =\"49822720\"]\n  17 -> 36 [size =\"49822720\"]\n  17 -> 40 [size =\"49822720\"]\n  17 -> 41 [size =\"49822720\"]\n  17 -> 49 [size =\"49822720\"]\n  18 [size=\"98053120\", alpha=\"0.03\", expect_size=\"39221248\"] \n  18 -> 37 [size =\"39221248\"]\n  18 -> 45 [size =\"39221248\"]\n  18 -> 46 [size =\"39221248\"]\n  18 -> 49 [size =\"39221248\"]\n  19 [size=\"95091200\", alpha=\"0.09\", expect_size=\"38036480\"] \n  19 -> 38 [size =\"38036480\"]\n  19 -> 39 [size =\"38036480\"]\n  19 -> 40 [size =\"38036480\"]\n  19 -> 41 [size =\"38036480\"]\n  19 -> 44 [size =\"38036480\"]\n  19 -> 46 [size =\"38036480\"]\n  19 -> 48 [size =\"38036480\"]\n  20 [size=\"20226560\", alpha=\"0.17\", expect_size=\"8090624\"] \n  20 -> 34 [size =\"8090624\"]\n  20 -> 43 [size =\"8090624\"]\n  20 -> 48 [size =\"8090624\"]\n  20 -> 50 [size =\"8090624\"]\n  21 [size=\"104424960\", alpha=\"0.03\", expect_size=\"41769984\"] \n  21 -> 38 [size =\"41769984\"]\n  21 -> 41 [size =\"41769984\"]\n  21 -> 42 [size =\"41769984\"]\n  21 -> 49 [size =\"41769984\"]\n  21 -> 50 [size =\"41769984\"]\n  22 [size=\"22028800\", alpha=\"0.05\", expect_size=\"8811520\"] \n  22 -> 39 [size =\"8811520\"]\n  22 -> 41 [size =\"8811520\"]\n  22 -> 42 [size =\"8811520\"]\n  22 -> 43 [size =\"8811520\"]\n  22 -> 46 [size =\"8811520\"]\n  22 -> 49 [size =\"8811520\"]\n  22 -> 50 [size =\"8811520\"]\n  23 [size=\"20334080\", alpha=\"0.09\", expect_size=\"8133632\"] \n  23 -> 36 [size =\"8133632\"]\n  23 -> 37 [size =\"8133632\"]\n  23 -> 39 [size =\"8133632\"]\n  23 -> 45 [size =\"8133632\"]\n  23 -> 46 [size =\"8133632\"]\n  23 -> 49 [size =\"8133632\"]\n  23 -> 50 [size =\"8133632\"]\n  24 [size=\"67266560\", alpha=\"0.10\", expect_size=\"26906624\"] \n  24 -> 34 [size =\"26906624\"]\n  24 -> 37 [size =\"26906624\"]\n  24 -> 40 [size =\"26906624\"]\n  24 -> 42 [size =\"26906624\"]\n  24 -> 46 [size =\"26906624\"]\n  25 [size=\"80524800\", alpha=\"0.16\", expect_size=\"32209920\"] \n  25 -> 37 [size =\"32209920\"]\n  25 -> 40 [size =\"32209920\"]\n  25 -> 43 [size =\"32209920\"]\n  25 -> 45 [size =\"32209920\"]\n  25 -> 46 [size =\"32209920\"]\n  25 -> 47 [size =\"32209920\"]\n  25 -> 49 [size =\"32209920\"]\n  25 -> 50 [size =\"32209920\"]\n  26 [size=\"36569600\", alpha=\"0.12\", expect_size=\"14627840\"] \n  26 -> 37 [size =\"14627840\"]\n  26 -> 38 [size =\"14627840\"]\n  26 -> 39 [size =\"14627840\"]\n  26 -> 43 [size =\"14627840\"]\n  26 -> 45 [size =\"14627840\"]\n  26 -> 46 [size =\"14627840\"]\n  26 -> 49 [size =\"14627840\"]\n  27 [size=\"107171840\", alpha=\"0.10\", expect_size=\"42868736\"] \n  27 -> 35 [size =\"42868736\"]\n  27 -> 37 [size =\"42868736\"]\n  27 -> 39 [size =\"42868736\"]\n  27 -> 43 [size =\"42868736\"]\n  27 -> 44 [size =\"42868736\"]\n  27 -> 46 [size =\"42868736\"]\n  27 -> 49 [size =\"42868736\"]\n  28 [size=\"19205120\", alpha=\"0.05\", expect_size=\"7682048\"] \n  28 -> 33 [size =\"7682048\"]\n  28 -> 37 [size =\"7682048\"]\n  28 -> 39 [size =\"7682048\"]\n  28 -> 43 [size =\"7682048\"]\n  28 -> 50 [size =\"7682048\"]\n  29 [size=\"39083520\", alpha=\"0.10\", expect_size=\"15633408\"] \n  29 -> 35 [size =\"15633408\"]\n  29 -> 37 [size =\"15633408\"]\n  29 -> 39 [size =\"15633408\"]\n  29 -> 46 [size =\"15633408\"]\n  29 -> 50 [size =\"15633408\"]\n  30 [size=\"90931200\", alpha=\"0.17\", expect_size=\"36372480\"] \n  30 -> 39 [size =\"36372480\"]\n  30 -> 43 [size =\"36372480\"]\n  30 -> 49 [size =\"36372480\"]\n  30 -> 50 [size =\"36372480\"]\n  31 [size=\"74209280\", alpha=\"0.19\", expect_size=\"29683712\"] \n  31 -> 38 [size =\"29683712\"]\n  31 -> 39 [size =\"29683712\"]\n  31 -> 40 [size =\"29683712\"]\n  31 -> 43 [size =\"29683712\"]\n  31 -> 45 [size =\"29683712\"]\n  31 -> 47 [size =\"29683712\"]\n  32 [size=\"94228480\", alpha=\"0.03\", expect_size=\"37691392\"] \n  33 [size=\"123376640\", alpha=\"0.09\", expect_size=\"49350656\"] \n  34 [size=\"57518080\", alpha=\"0.05\", expect_size=\"23007232\"] \n  35 [size=\"118256640\", alpha=\"0.03\", expect_size=\"47302656\"] \n  36 [size=\"94008320\", alpha=\"0.15\", expect_size=\"37603328\"] \n  37 [size=\"45470720\", alpha=\"0.06\", expect_size=\"18188288\"] \n  38 [size=\"106979840\", alpha=\"0.11\", expect_size=\"42791936\"] \n  39 [size=\"16985600\", alpha=\"0.10\", expect_size=\"6794240\"] \n  40 [size=\"78346240\", alpha=\"0.10\", expect_size=\"31338496\"] \n  41 [size=\"60902400\", alpha=\"0.06\", expect_size=\"24360960\"] \n  42 [size=\"53928960\", alpha=\"0.03\", expect_size=\"21571584\"] \n  43 [size=\"73121280\", alpha=\"0.01\", expect_size=\"29248512\"] \n  44 [size=\"124172800\", alpha=\"0.09\", expect_size=\"49669120\"] \n  45 [size=\"34536960\", alpha=\"0.08\", expect_size=\"13814784\"] \n  46 [size=\"52126720\", alpha=\"0.11\", expect_size=\"20850688\"] \n  47 [size=\"21468160\", alpha=\"0.10\", expect_size=\"8587264\"] \n  48 [size=\"54016000\", alpha=\"0.10\", expect_size=\"21606400\"] \n  49 [size=\"116746240\", alpha=\"0.14\", expect_size=\"46698496\"] \n  50 [size=\"55720960\", alpha=\"0.12\", expect_size=\"22288384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.426.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18551467\", alpha=\"0.10\", expect_size=\"5565440\"] \n  2 [size=\"122296320\", alpha=\"0.09\", expect_size=\"36688896\"] \n  2 -> 6 [size =\"36688896\"]\n  3 [size=\"86988800\", alpha=\"0.17\", expect_size=\"26096640\"] \n  3 -> 4 [size =\"26096640\"]\n  3 -> 5 [size =\"26096640\"]\n  4 [size=\"109380267\", alpha=\"0.15\", expect_size=\"32814080\"] \n  4 -> 7 [size =\"32814080\"]\n  4 -> 9 [size =\"32814080\"]\n  4 -> 10 [size =\"32814080\"]\n  4 -> 12 [size =\"32814080\"]\n  4 -> 13 [size =\"32814080\"]\n  4 -> 14 [size =\"32814080\"]\n  4 -> 15 [size =\"32814080\"]\n  5 [size=\"45530453\", alpha=\"0.17\", expect_size=\"13659136\"] \n  5 -> 8 [size =\"13659136\"]\n  5 -> 12 [size =\"13659136\"]\n  5 -> 13 [size =\"13659136\"]\n  5 -> 14 [size =\"13659136\"]\n  6 [size=\"85166080\", alpha=\"0.13\", expect_size=\"25549824\"] \n  6 -> 10 [size =\"25549824\"]\n  6 -> 11 [size =\"25549824\"]\n  6 -> 16 [size =\"25549824\"]\n  7 [size=\"24804693\", alpha=\"0.13\", expect_size=\"7441408\"] \n  7 -> 17 [size =\"7441408\"]\n  7 -> 18 [size =\"7441408\"]\n  7 -> 19 [size =\"7441408\"]\n  7 -> 21 [size =\"7441408\"]\n  8 [size=\"34904747\", alpha=\"0.13\", expect_size=\"10471424\"] \n  8 -> 17 [size =\"10471424\"]\n  8 -> 18 [size =\"10471424\"]\n  8 -> 21 [size =\"10471424\"]\n  9 [size=\"70591147\", alpha=\"0.17\", expect_size=\"21177344\"] \n  10 [size=\"134270293\", alpha=\"0.02\", expect_size=\"40281088\"] \n  10 -> 17 [size =\"40281088\"]\n  10 -> 19 [size =\"40281088\"]\n  11 [size=\"146858667\", alpha=\"0.06\", expect_size=\"44057600\"] \n  12 [size=\"70632107\", alpha=\"0.09\", expect_size=\"21189632\"] \n  12 -> 17 [size =\"21189632\"]\n  13 [size=\"138601813\", alpha=\"0.10\", expect_size=\"41580544\"] \n  13 -> 21 [size =\"41580544\"]\n  14 [size=\"115821227\", alpha=\"0.06\", expect_size=\"34746368\"] \n  14 -> 17 [size =\"34746368\"]\n  14 -> 18 [size =\"34746368\"]\n  14 -> 20 [size =\"34746368\"]\n  15 [size=\"78318933\", alpha=\"0.06\", expect_size=\"23495680\"] \n  16 [size=\"57914027\", alpha=\"0.16\", expect_size=\"17374208\"] \n  16 -> 21 [size =\"17374208\"]\n  17 [size=\"161481387\", alpha=\"0.19\", expect_size=\"48444416\"] \n  17 -> 25 [size =\"48444416\"]\n  18 [size=\"105895253\", alpha=\"0.04\", expect_size=\"31768576\"] \n  18 -> 22 [size =\"31768576\"]\n  18 -> 23 [size =\"31768576\"]\n  18 -> 29 [size =\"31768576\"]\n  19 [size=\"49892693\", alpha=\"0.03\", expect_size=\"14967808\"] \n  19 -> 24 [size =\"14967808\"]\n  19 -> 26 [size =\"14967808\"]\n  20 [size=\"26402133\", alpha=\"0.02\", expect_size=\"7920640\"] \n  20 -> 22 [size =\"7920640\"]\n  20 -> 26 [size =\"7920640\"]\n  20 -> 28 [size =\"7920640\"]\n  20 -> 29 [size =\"7920640\"]\n  21 [size=\"38666240\", alpha=\"0.01\", expect_size=\"11599872\"] \n  21 -> 25 [size =\"11599872\"]\n  21 -> 27 [size =\"11599872\"]\n  21 -> 29 [size =\"11599872\"]\n  22 [size=\"82589013\", alpha=\"0.14\", expect_size=\"24776704\"] \n  22 -> 30 [size =\"24776704\"]\n  22 -> 31 [size =\"24776704\"]\n  23 [size=\"156136107\", alpha=\"0.15\", expect_size=\"46840832\"] \n  23 -> 31 [size =\"46840832\"]\n  23 -> 33 [size =\"46840832\"]\n  24 [size=\"78960640\", alpha=\"0.08\", expect_size=\"23688192\"] \n  24 -> 32 [size =\"23688192\"]\n  24 -> 33 [size =\"23688192\"]\n  25 [size=\"124750507\", alpha=\"0.05\", expect_size=\"37425152\"] \n  26 [size=\"174185813\", alpha=\"0.10\", expect_size=\"52255744\"] \n  26 -> 30 [size =\"52255744\"]\n  26 -> 32 [size =\"52255744\"]\n  26 -> 33 [size =\"52255744\"]\n  27 [size=\"142551040\", alpha=\"0.16\", expect_size=\"42765312\"] \n  28 [size=\"138260480\", alpha=\"0.05\", expect_size=\"41478144\"] \n  28 -> 30 [size =\"41478144\"]\n  28 -> 33 [size =\"41478144\"]\n  29 [size=\"166570667\", alpha=\"0.20\", expect_size=\"49971200\"] \n  29 -> 30 [size =\"49971200\"]\n  30 [size=\"29870080\", alpha=\"0.10\", expect_size=\"8961024\"] \n  30 -> 36 [size =\"8961024\"]\n  30 -> 37 [size =\"8961024\"]\n  30 -> 38 [size =\"8961024\"]\n  31 [size=\"43417600\", alpha=\"0.16\", expect_size=\"13025280\"] \n  31 -> 35 [size =\"13025280\"]\n  31 -> 38 [size =\"13025280\"]\n  32 [size=\"50995200\", alpha=\"0.10\", expect_size=\"15298560\"] \n  32 -> 36 [size =\"15298560\"]\n  33 [size=\"157429760\", alpha=\"0.18\", expect_size=\"47228928\"] \n  33 -> 34 [size =\"47228928\"]\n  33 -> 35 [size =\"47228928\"]\n  33 -> 37 [size =\"47228928\"]\n  33 -> 39 [size =\"47228928\"]\n  34 [size=\"117661013\", alpha=\"0.19\", expect_size=\"35298304\"] \n  34 -> 41 [size =\"35298304\"]\n  35 [size=\"23596373\", alpha=\"0.08\", expect_size=\"7078912\"] \n  36 [size=\"60576427\", alpha=\"0.02\", expect_size=\"18172928\"] \n  36 -> 42 [size =\"18172928\"]\n  37 [size=\"139008000\", alpha=\"0.15\", expect_size=\"41702400\"] \n  37 -> 40 [size =\"41702400\"]\n  38 [size=\"108936533\", alpha=\"0.18\", expect_size=\"32680960\"] \n  38 -> 40 [size =\"32680960\"]\n  39 [size=\"145073493\", alpha=\"0.06\", expect_size=\"43522048\"] \n  40 [size=\"143250773\", alpha=\"0.15\", expect_size=\"42975232\"] \n  40 -> 43 [size =\"42975232\"]\n  40 -> 45 [size =\"42975232\"]\n  41 [size=\"62979413\", alpha=\"0.06\", expect_size=\"18893824\"] \n  41 -> 43 [size =\"18893824\"]\n  41 -> 45 [size =\"18893824\"]\n  42 [size=\"33645227\", alpha=\"0.06\", expect_size=\"10093568\"] \n  42 -> 44 [size =\"10093568\"]\n  42 -> 46 [size =\"10093568\"]\n  42 -> 47 [size =\"10093568\"]\n  43 [size=\"108404053\", alpha=\"0.03\", expect_size=\"32521216\"] \n  44 [size=\"93812053\", alpha=\"0.09\", expect_size=\"28143616\"] \n  44 -> 49 [size =\"28143616\"]\n  45 [size=\"88214187\", alpha=\"0.08\", expect_size=\"26464256\"] \n  46 [size=\"152453120\", alpha=\"0.06\", expect_size=\"45735936\"] \n  46 -> 48 [size =\"45735936\"]\n  46 -> 50 [size =\"45735936\"]\n  47 [size=\"169690453\", alpha=\"0.01\", expect_size=\"50907136\"] \n  48 [size=\"126634667\", alpha=\"0.11\", expect_size=\"37990400\"] \n  49 [size=\"111714987\", alpha=\"0.00\", expect_size=\"33514496\"] \n  50 [size=\"157344427\", alpha=\"0.11\", expect_size=\"47203328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.427.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20455424\", alpha=\"0.12\", expect_size=\"10227712\"] \n  1 -> 22 [size =\"10227712\"]\n  1 -> 24 [size =\"10227712\"]\n  1 -> 29 [size =\"10227712\"]\n  1 -> 31 [size =\"10227712\"]\n  1 -> 36 [size =\"10227712\"]\n  1 -> 38 [size =\"10227712\"]\n  2 [size=\"65906688\", alpha=\"0.15\", expect_size=\"32953344\"] \n  2 -> 21 [size =\"32953344\"]\n  2 -> 22 [size =\"32953344\"]\n  2 -> 30 [size =\"32953344\"]\n  2 -> 31 [size =\"32953344\"]\n  2 -> 34 [size =\"32953344\"]\n  2 -> 35 [size =\"32953344\"]\n  2 -> 37 [size =\"32953344\"]\n  3 [size=\"12126208\", alpha=\"0.16\", expect_size=\"6063104\"] \n  3 -> 23 [size =\"6063104\"]\n  3 -> 24 [size =\"6063104\"]\n  3 -> 26 [size =\"6063104\"]\n  3 -> 27 [size =\"6063104\"]\n  3 -> 30 [size =\"6063104\"]\n  3 -> 31 [size =\"6063104\"]\n  3 -> 33 [size =\"6063104\"]\n  3 -> 34 [size =\"6063104\"]\n  3 -> 35 [size =\"6063104\"]\n  3 -> 39 [size =\"6063104\"]\n  4 [size=\"35033088\", alpha=\"0.07\", expect_size=\"17516544\"] \n  4 -> 21 [size =\"17516544\"]\n  4 -> 22 [size =\"17516544\"]\n  4 -> 25 [size =\"17516544\"]\n  4 -> 29 [size =\"17516544\"]\n  4 -> 34 [size =\"17516544\"]\n  4 -> 39 [size =\"17516544\"]\n  5 [size=\"38184960\", alpha=\"0.05\", expect_size=\"19092480\"] \n  5 -> 28 [size =\"19092480\"]\n  5 -> 29 [size =\"19092480\"]\n  5 -> 31 [size =\"19092480\"]\n  5 -> 32 [size =\"19092480\"]\n  5 -> 37 [size =\"19092480\"]\n  6 [size=\"94879744\", alpha=\"0.17\", expect_size=\"47439872\"] \n  6 -> 20 [size =\"47439872\"]\n  6 -> 22 [size =\"47439872\"]\n  6 -> 25 [size =\"47439872\"]\n  6 -> 28 [size =\"47439872\"]\n  6 -> 33 [size =\"47439872\"]\n  6 -> 37 [size =\"47439872\"]\n  6 -> 38 [size =\"47439872\"]\n  7 [size=\"16881664\", alpha=\"0.06\", expect_size=\"8440832\"] \n  7 -> 27 [size =\"8440832\"]\n  7 -> 33 [size =\"8440832\"]\n  7 -> 38 [size =\"8440832\"]\n  8 [size=\"92565504\", alpha=\"0.11\", expect_size=\"46282752\"] \n  8 -> 20 [size =\"46282752\"]\n  8 -> 26 [size =\"46282752\"]\n  8 -> 27 [size =\"46282752\"]\n  8 -> 29 [size =\"46282752\"]\n  8 -> 33 [size =\"46282752\"]\n  8 -> 34 [size =\"46282752\"]\n  8 -> 37 [size =\"46282752\"]\n  8 -> 38 [size =\"46282752\"]\n  9 [size=\"77377536\", alpha=\"0.17\", expect_size=\"38688768\"] \n  9 -> 22 [size =\"38688768\"]\n  9 -> 31 [size =\"38688768\"]\n  9 -> 33 [size =\"38688768\"]\n  9 -> 38 [size =\"38688768\"]\n  10 [size=\"56293376\", alpha=\"0.19\", expect_size=\"28146688\"] \n  10 -> 26 [size =\"28146688\"]\n  10 -> 36 [size =\"28146688\"]\n  10 -> 39 [size =\"28146688\"]\n  11 [size=\"90437632\", alpha=\"0.02\", expect_size=\"45218816\"] \n  11 -> 25 [size =\"45218816\"]\n  11 -> 27 [size =\"45218816\"]\n  11 -> 35 [size =\"45218816\"]\n  11 -> 38 [size =\"45218816\"]\n  12 [size=\"54626304\", alpha=\"0.08\", expect_size=\"27313152\"] \n  12 -> 21 [size =\"27313152\"]\n  12 -> 25 [size =\"27313152\"]\n  12 -> 27 [size =\"27313152\"]\n  12 -> 28 [size =\"27313152\"]\n  13 [size=\"30248960\", alpha=\"0.19\", expect_size=\"15124480\"] \n  13 -> 21 [size =\"15124480\"]\n  13 -> 25 [size =\"15124480\"]\n  13 -> 26 [size =\"15124480\"]\n  13 -> 27 [size =\"15124480\"]\n  13 -> 31 [size =\"15124480\"]\n  14 [size=\"12197888\", alpha=\"0.12\", expect_size=\"6098944\"] \n  14 -> 21 [size =\"6098944\"]\n  14 -> 25 [size =\"6098944\"]\n  14 -> 29 [size =\"6098944\"]\n  14 -> 34 [size =\"6098944\"]\n  14 -> 35 [size =\"6098944\"]\n  14 -> 36 [size =\"6098944\"]\n  14 -> 38 [size =\"6098944\"]\n  15 [size=\"44306432\", alpha=\"0.13\", expect_size=\"22153216\"] \n  15 -> 22 [size =\"22153216\"]\n  15 -> 24 [size =\"22153216\"]\n  15 -> 28 [size =\"22153216\"]\n  15 -> 31 [size =\"22153216\"]\n  15 -> 33 [size =\"22153216\"]\n  15 -> 34 [size =\"22153216\"]\n  15 -> 35 [size =\"22153216\"]\n  16 [size=\"65841152\", alpha=\"0.11\", expect_size=\"32920576\"] \n  16 -> 21 [size =\"32920576\"]\n  16 -> 28 [size =\"32920576\"]\n  16 -> 28 [size =\"32920576\"]\n  16 -> 34 [size =\"32920576\"]\n  17 [size=\"52056064\", alpha=\"0.16\", expect_size=\"26028032\"] \n  17 -> 21 [size =\"26028032\"]\n  17 -> 22 [size =\"26028032\"]\n  17 -> 26 [size =\"26028032\"]\n  17 -> 28 [size =\"26028032\"]\n  17 -> 29 [size =\"26028032\"]\n  17 -> 34 [size =\"26028032\"]\n  17 -> 37 [size =\"26028032\"]\n  17 -> 39 [size =\"26028032\"]\n  18 [size=\"81313792\", alpha=\"0.14\", expect_size=\"40656896\"] \n  18 -> 22 [size =\"40656896\"]\n  18 -> 22 [size =\"40656896\"]\n  18 -> 26 [size =\"40656896\"]\n  18 -> 34 [size =\"40656896\"]\n  18 -> 39 [size =\"40656896\"]\n  19 [size=\"36587520\", alpha=\"0.19\", expect_size=\"18293760\"] \n  19 -> 31 [size =\"18293760\"]\n  19 -> 37 [size =\"18293760\"]\n  20 [size=\"22468608\", alpha=\"0.02\", expect_size=\"11234304\"] \n  20 -> 41 [size =\"11234304\"]\n  20 -> 42 [size =\"11234304\"]\n  21 [size=\"17483776\", alpha=\"0.06\", expect_size=\"8741888\"] \n  21 -> 40 [size =\"8741888\"]\n  21 -> 41 [size =\"8741888\"]\n  21 -> 44 [size =\"8741888\"]\n  22 [size=\"25837568\", alpha=\"0.03\", expect_size=\"12918784\"] \n  22 -> 40 [size =\"12918784\"]\n  22 -> 41 [size =\"12918784\"]\n  22 -> 42 [size =\"12918784\"]\n  22 -> 44 [size =\"12918784\"]\n  22 -> 45 [size =\"12918784\"]\n  23 [size=\"65325056\", alpha=\"0.20\", expect_size=\"32662528\"] \n  23 -> 41 [size =\"32662528\"]\n  23 -> 43 [size =\"32662528\"]\n  24 [size=\"59049984\", alpha=\"0.02\", expect_size=\"29524992\"] \n  24 -> 41 [size =\"29524992\"]\n  24 -> 42 [size =\"29524992\"]\n  24 -> 46 [size =\"29524992\"]\n  25 [size=\"20658176\", alpha=\"0.09\", expect_size=\"10329088\"] \n  25 -> 41 [size =\"10329088\"]\n  25 -> 42 [size =\"10329088\"]\n  25 -> 44 [size =\"10329088\"]\n  25 -> 46 [size =\"10329088\"]\n  26 [size=\"81930240\", alpha=\"0.15\", expect_size=\"40965120\"] \n  26 -> 41 [size =\"40965120\"]\n  26 -> 42 [size =\"40965120\"]\n  26 -> 43 [size =\"40965120\"]\n  26 -> 46 [size =\"40965120\"]\n  27 [size=\"40308736\", alpha=\"0.02\", expect_size=\"20154368\"] \n  27 -> 40 [size =\"20154368\"]\n  28 [size=\"21856256\", alpha=\"0.07\", expect_size=\"10928128\"] \n  28 -> 41 [size =\"10928128\"]\n  28 -> 43 [size =\"10928128\"]\n  28 -> 44 [size =\"10928128\"]\n  29 [size=\"86495232\", alpha=\"0.05\", expect_size=\"43247616\"] \n  29 -> 42 [size =\"43247616\"]\n  29 -> 44 [size =\"43247616\"]\n  29 -> 47 [size =\"43247616\"]\n  30 [size=\"82577408\", alpha=\"0.14\", expect_size=\"41288704\"] \n  31 [size=\"90738688\", alpha=\"0.19\", expect_size=\"45369344\"] \n  31 -> 42 [size =\"45369344\"]\n  31 -> 45 [size =\"45369344\"]\n  32 [size=\"26576896\", alpha=\"0.14\", expect_size=\"13288448\"] \n  33 [size=\"39886848\", alpha=\"0.13\", expect_size=\"19943424\"] \n  33 -> 40 [size =\"19943424\"]\n  33 -> 44 [size =\"19943424\"]\n  34 [size=\"37937152\", alpha=\"0.12\", expect_size=\"18968576\"] \n  35 [size=\"45279232\", alpha=\"0.18\", expect_size=\"22639616\"] \n  35 -> 42 [size =\"22639616\"]\n  36 [size=\"89610240\", alpha=\"0.16\", expect_size=\"44805120\"] \n  36 -> 42 [size =\"44805120\"]\n  36 -> 46 [size =\"44805120\"]\n  37 [size=\"66584576\", alpha=\"0.03\", expect_size=\"33292288\"] \n  37 -> 42 [size =\"33292288\"]\n  38 [size=\"76969984\", alpha=\"0.05\", expect_size=\"38484992\"] \n  38 -> 44 [size =\"38484992\"]\n  39 [size=\"14104576\", alpha=\"0.13\", expect_size=\"7052288\"] \n  40 [size=\"39254016\", alpha=\"0.03\", expect_size=\"19627008\"] \n  41 [size=\"103856128\", alpha=\"0.14\", expect_size=\"51928064\"] \n  41 -> 48 [size =\"51928064\"]\n  41 -> 50 [size =\"51928064\"]\n  42 [size=\"99117056\", alpha=\"0.09\", expect_size=\"49558528\"] \n  42 -> 48 [size =\"49558528\"]\n  43 [size=\"69181440\", alpha=\"0.15\", expect_size=\"34590720\"] \n  44 [size=\"33812480\", alpha=\"0.12\", expect_size=\"16906240\"] \n  44 -> 48 [size =\"16906240\"]\n  44 -> 50 [size =\"16906240\"]\n  45 [size=\"89098240\", alpha=\"0.11\", expect_size=\"44549120\"] \n  45 -> 48 [size =\"44549120\"]\n  46 [size=\"80111616\", alpha=\"0.05\", expect_size=\"40055808\"] \n  46 -> 49 [size =\"40055808\"]\n  47 [size=\"62214144\", alpha=\"0.05\", expect_size=\"31107072\"] \n  48 [size=\"76972032\", alpha=\"0.07\", expect_size=\"38486016\"] \n  49 [size=\"100847616\", alpha=\"0.06\", expect_size=\"50423808\"] \n  50 [size=\"65566720\", alpha=\"0.00\", expect_size=\"32783360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.428.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27351040\", alpha=\"0.15\", expect_size=\"10940416\"] \n  1 -> 2 [size =\"10940416\"]\n  2 [size=\"85744640\", alpha=\"0.01\", expect_size=\"34297856\"] \n  2 -> 3 [size =\"34297856\"]\n  3 [size=\"68574720\", alpha=\"0.10\", expect_size=\"27429888\"] \n  3 -> 4 [size =\"27429888\"]\n  4 [size=\"59765760\", alpha=\"0.12\", expect_size=\"23906304\"] \n  4 -> 5 [size =\"23906304\"]\n  5 [size=\"50936320\", alpha=\"0.09\", expect_size=\"20374528\"] \n  5 -> 6 [size =\"20374528\"]\n  6 [size=\"102256640\", alpha=\"0.17\", expect_size=\"40902656\"] \n  6 -> 7 [size =\"40902656\"]\n  7 [size=\"18168320\", alpha=\"0.05\", expect_size=\"7267328\"] \n  7 -> 8 [size =\"7267328\"]\n  8 [size=\"101893120\", alpha=\"0.20\", expect_size=\"40757248\"] \n  8 -> 9 [size =\"40757248\"]\n  9 [size=\"82432000\", alpha=\"0.07\", expect_size=\"32972800\"] \n  9 -> 10 [size =\"32972800\"]\n  10 [size=\"36592640\", alpha=\"0.17\", expect_size=\"14637056\"] \n  10 -> 11 [size =\"14637056\"]\n  11 [size=\"65661440\", alpha=\"0.19\", expect_size=\"26264576\"] \n  11 -> 12 [size =\"26264576\"]\n  12 [size=\"34214400\", alpha=\"0.10\", expect_size=\"13685760\"] \n  12 -> 13 [size =\"13685760\"]\n  13 [size=\"38010880\", alpha=\"0.09\", expect_size=\"15204352\"] \n  13 -> 14 [size =\"15204352\"]\n  14 [size=\"95180800\", alpha=\"0.16\", expect_size=\"38072320\"] \n  14 -> 15 [size =\"38072320\"]\n  15 [size=\"49103360\", alpha=\"0.15\", expect_size=\"19641344\"] \n  15 -> 16 [size =\"19641344\"]\n  16 [size=\"101516800\", alpha=\"0.17\", expect_size=\"40606720\"] \n  16 -> 17 [size =\"40606720\"]\n  17 [size=\"86389760\", alpha=\"0.14\", expect_size=\"34555904\"] \n  17 -> 18 [size =\"34555904\"]\n  18 [size=\"116044800\", alpha=\"0.08\", expect_size=\"46417920\"] \n  18 -> 19 [size =\"46417920\"]\n  19 [size=\"114058240\", alpha=\"0.06\", expect_size=\"45623296\"] \n  19 -> 20 [size =\"45623296\"]\n  20 [size=\"40148480\", alpha=\"0.02\", expect_size=\"16059392\"] \n  20 -> 21 [size =\"16059392\"]\n  21 [size=\"24432640\", alpha=\"0.01\", expect_size=\"9773056\"] \n  21 -> 22 [size =\"9773056\"]\n  22 [size=\"16903680\", alpha=\"0.12\", expect_size=\"6761472\"] \n  22 -> 23 [size =\"6761472\"]\n  23 [size=\"78092800\", alpha=\"0.12\", expect_size=\"31237120\"] \n  23 -> 24 [size =\"31237120\"]\n  24 [size=\"128952320\", alpha=\"0.20\", expect_size=\"51580928\"] \n  24 -> 25 [size =\"51580928\"]\n  25 [size=\"102996480\", alpha=\"0.14\", expect_size=\"41198592\"] \n  25 -> 26 [size =\"41198592\"]\n  26 [size=\"73738240\", alpha=\"0.04\", expect_size=\"29495296\"] \n  26 -> 27 [size =\"29495296\"]\n  27 [size=\"53473280\", alpha=\"0.14\", expect_size=\"21389312\"] \n  27 -> 28 [size =\"21389312\"]\n  28 [size=\"17466880\", alpha=\"0.20\", expect_size=\"6986752\"] \n  28 -> 29 [size =\"6986752\"]\n  29 [size=\"64460800\", alpha=\"0.17\", expect_size=\"25784320\"] \n  29 -> 30 [size =\"25784320\"]\n  30 [size=\"101634560\", alpha=\"0.18\", expect_size=\"40653824\"] \n  30 -> 31 [size =\"40653824\"]\n  31 [size=\"115402240\", alpha=\"0.09\", expect_size=\"46160896\"] \n  31 -> 32 [size =\"46160896\"]\n  32 [size=\"120012800\", alpha=\"0.02\", expect_size=\"48005120\"] \n  32 -> 33 [size =\"48005120\"]\n  33 [size=\"70136320\", alpha=\"0.00\", expect_size=\"28054528\"] \n  33 -> 34 [size =\"28054528\"]\n  34 [size=\"21242880\", alpha=\"0.12\", expect_size=\"8497152\"] \n  34 -> 35 [size =\"8497152\"]\n  35 [size=\"19993600\", alpha=\"0.10\", expect_size=\"7997440\"] \n  35 -> 36 [size =\"7997440\"]\n  36 [size=\"104217600\", alpha=\"0.03\", expect_size=\"41687040\"] \n  36 -> 37 [size =\"41687040\"]\n  37 [size=\"127139840\", alpha=\"0.08\", expect_size=\"50855936\"] \n  37 -> 38 [size =\"50855936\"]\n  38 [size=\"93824000\", alpha=\"0.11\", expect_size=\"37529600\"] \n  38 -> 39 [size =\"37529600\"]\n  39 [size=\"93050880\", alpha=\"0.11\", expect_size=\"37220352\"] \n  39 -> 40 [size =\"37220352\"]\n  40 [size=\"76185600\", alpha=\"0.16\", expect_size=\"30474240\"] \n  40 -> 41 [size =\"30474240\"]\n  41 [size=\"66713600\", alpha=\"0.02\", expect_size=\"26685440\"] \n  41 -> 42 [size =\"26685440\"]\n  42 [size=\"117189120\", alpha=\"0.09\", expect_size=\"46875648\"] \n  42 -> 43 [size =\"46875648\"]\n  43 [size=\"130757120\", alpha=\"0.08\", expect_size=\"52302848\"] \n  43 -> 44 [size =\"52302848\"]\n  44 [size=\"14356480\", alpha=\"0.05\", expect_size=\"5742592\"] \n  44 -> 45 [size =\"5742592\"]\n  45 [size=\"85995520\", alpha=\"0.18\", expect_size=\"34398208\"] \n  45 -> 46 [size =\"34398208\"]\n  46 [size=\"27770880\", alpha=\"0.02\", expect_size=\"11108352\"] \n  46 -> 47 [size =\"11108352\"]\n  47 [size=\"46064640\", alpha=\"0.12\", expect_size=\"18425856\"] \n  47 -> 48 [size =\"18425856\"]\n  48 [size=\"96189440\", alpha=\"0.03\", expect_size=\"38475776\"] \n  48 -> 49 [size =\"38475776\"]\n  49 [size=\"45158400\", alpha=\"0.02\", expect_size=\"18063360\"] \n  49 -> 50 [size =\"18063360\"]\n  50 [size=\"111887360\", alpha=\"0.17\", expect_size=\"44754944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.429.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153545387\", alpha=\"0.08\", expect_size=\"46063616\"] \n  1 -> 2 [size =\"46063616\"]\n  2 [size=\"138581333\", alpha=\"0.13\", expect_size=\"41574400\"] \n  2 -> 3 [size =\"41574400\"]\n  3 [size=\"109933227\", alpha=\"0.10\", expect_size=\"32979968\"] \n  3 -> 4 [size =\"32979968\"]\n  4 [size=\"49506987\", alpha=\"0.17\", expect_size=\"14852096\"] \n  4 -> 5 [size =\"14852096\"]\n  5 [size=\"23244800\", alpha=\"0.01\", expect_size=\"6973440\"] \n  5 -> 6 [size =\"6973440\"]\n  6 [size=\"99338240\", alpha=\"0.05\", expect_size=\"29801472\"] \n  6 -> 7 [size =\"29801472\"]\n  7 [size=\"108564480\", alpha=\"0.00\", expect_size=\"32569344\"] \n  7 -> 8 [size =\"32569344\"]\n  8 [size=\"132369067\", alpha=\"0.09\", expect_size=\"39710720\"] \n  8 -> 9 [size =\"39710720\"]\n  9 [size=\"66324480\", alpha=\"0.11\", expect_size=\"19897344\"] \n  9 -> 10 [size =\"19897344\"]\n  10 [size=\"31201280\", alpha=\"0.06\", expect_size=\"9360384\"] \n  10 -> 11 [size =\"9360384\"]\n  11 [size=\"78281387\", alpha=\"0.05\", expect_size=\"23484416\"] \n  11 -> 12 [size =\"23484416\"]\n  12 [size=\"140591787\", alpha=\"0.19\", expect_size=\"42177536\"] \n  12 -> 13 [size =\"42177536\"]\n  13 [size=\"86463147\", alpha=\"0.09\", expect_size=\"25938944\"] \n  13 -> 14 [size =\"25938944\"]\n  14 [size=\"165324800\", alpha=\"0.19\", expect_size=\"49597440\"] \n  14 -> 15 [size =\"49597440\"]\n  15 [size=\"143428267\", alpha=\"0.02\", expect_size=\"43028480\"] \n  15 -> 16 [size =\"43028480\"]\n  16 [size=\"149118293\", alpha=\"0.03\", expect_size=\"44735488\"] \n  16 -> 17 [size =\"44735488\"]\n  17 [size=\"30607360\", alpha=\"0.08\", expect_size=\"9182208\"] \n  17 -> 18 [size =\"9182208\"]\n  18 [size=\"33925120\", alpha=\"0.09\", expect_size=\"10177536\"] \n  18 -> 19 [size =\"10177536\"]\n  19 [size=\"108322133\", alpha=\"0.06\", expect_size=\"32496640\"] \n  19 -> 20 [size =\"32496640\"]\n  20 [size=\"40441173\", alpha=\"0.18\", expect_size=\"12132352\"] \n  20 -> 21 [size =\"12132352\"]\n  21 [size=\"87282347\", alpha=\"0.08\", expect_size=\"26184704\"] \n  21 -> 22 [size =\"26184704\"]\n  22 [size=\"126760960\", alpha=\"0.13\", expect_size=\"38028288\"] \n  22 -> 23 [size =\"38028288\"]\n  23 [size=\"121016320\", alpha=\"0.09\", expect_size=\"36304896\"] \n  23 -> 24 [size =\"36304896\"]\n  24 [size=\"31395840\", alpha=\"0.10\", expect_size=\"9418752\"] \n  24 -> 25 [size =\"9418752\"]\n  25 [size=\"26214400\", alpha=\"0.12\", expect_size=\"7864320\"] \n  25 -> 26 [size =\"7864320\"]\n  26 [size=\"40120320\", alpha=\"0.04\", expect_size=\"12036096\"] \n  26 -> 27 [size =\"12036096\"]\n  27 [size=\"62928213\", alpha=\"0.08\", expect_size=\"18878464\"] \n  27 -> 28 [size =\"18878464\"]\n  28 [size=\"128208213\", alpha=\"0.06\", expect_size=\"38462464\"] \n  28 -> 29 [size =\"38462464\"]\n  29 [size=\"44291413\", alpha=\"0.10\", expect_size=\"13287424\"] \n  29 -> 30 [size =\"13287424\"]\n  30 [size=\"88596480\", alpha=\"0.16\", expect_size=\"26578944\"] \n  30 -> 31 [size =\"26578944\"]\n  31 [size=\"72669867\", alpha=\"0.10\", expect_size=\"21800960\"] \n  31 -> 32 [size =\"21800960\"]\n  32 [size=\"132580693\", alpha=\"0.20\", expect_size=\"39774208\"] \n  32 -> 33 [size =\"39774208\"]\n  33 [size=\"74868053\", alpha=\"0.18\", expect_size=\"22460416\"] \n  33 -> 34 [size =\"22460416\"]\n  34 [size=\"149278720\", alpha=\"0.15\", expect_size=\"44783616\"] \n  34 -> 35 [size =\"44783616\"]\n  35 [size=\"73267200\", alpha=\"0.08\", expect_size=\"21980160\"] \n  35 -> 36 [size =\"21980160\"]\n  36 [size=\"167181653\", alpha=\"0.18\", expect_size=\"50154496\"] \n  36 -> 37 [size =\"50154496\"]\n  37 [size=\"41024853\", alpha=\"0.10\", expect_size=\"12307456\"] \n  37 -> 38 [size =\"12307456\"]\n  38 [size=\"100461227\", alpha=\"0.03\", expect_size=\"30138368\"] \n  38 -> 39 [size =\"30138368\"]\n  39 [size=\"145814187\", alpha=\"0.09\", expect_size=\"43744256\"] \n  39 -> 40 [size =\"43744256\"]\n  40 [size=\"68652373\", alpha=\"0.17\", expect_size=\"20595712\"] \n  40 -> 41 [size =\"20595712\"]\n  41 [size=\"39980373\", alpha=\"0.14\", expect_size=\"11994112\"] \n  41 -> 42 [size =\"11994112\"]\n  42 [size=\"120613547\", alpha=\"0.05\", expect_size=\"36184064\"] \n  42 -> 43 [size =\"36184064\"]\n  43 [size=\"119094613\", alpha=\"0.09\", expect_size=\"35728384\"] \n  43 -> 44 [size =\"35728384\"]\n  44 [size=\"104410453\", alpha=\"0.15\", expect_size=\"31323136\"] \n  44 -> 45 [size =\"31323136\"]\n  45 [size=\"67126613\", alpha=\"0.01\", expect_size=\"20137984\"] \n  45 -> 46 [size =\"20137984\"]\n  46 [size=\"133198507\", alpha=\"0.11\", expect_size=\"39959552\"] \n  46 -> 47 [size =\"39959552\"]\n  47 [size=\"119688533\", alpha=\"0.07\", expect_size=\"35906560\"] \n  47 -> 48 [size =\"35906560\"]\n  48 [size=\"39741440\", alpha=\"0.17\", expect_size=\"11922432\"] \n  48 -> 49 [size =\"11922432\"]\n  49 [size=\"67085653\", alpha=\"0.10\", expect_size=\"20125696\"] \n  49 -> 50 [size =\"20125696\"]\n  50 [size=\"135284053\", alpha=\"0.12\", expect_size=\"40585216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88343040\", alpha=\"0.13\", expect_size=\"35337216\"] \n  1 -> 2 [size =\"35337216\"]\n  2 [size=\"96629760\", alpha=\"0.01\", expect_size=\"38651904\"] \n  2 -> 3 [size =\"38651904\"]\n  3 [size=\"46228480\", alpha=\"0.02\", expect_size=\"18491392\"] \n  3 -> 4 [size =\"18491392\"]\n  4 [size=\"69893120\", alpha=\"0.11\", expect_size=\"27957248\"] \n  4 -> 5 [size =\"27957248\"]\n  5 [size=\"61795840\", alpha=\"0.12\", expect_size=\"24718336\"] \n  5 -> 6 [size =\"24718336\"]\n  6 [size=\"116124160\", alpha=\"0.10\", expect_size=\"46449664\"] \n  6 -> 7 [size =\"46449664\"]\n  7 [size=\"14858240\", alpha=\"0.13\", expect_size=\"5943296\"] \n  7 -> 8 [size =\"5943296\"]\n  8 [size=\"84605440\", alpha=\"0.20\", expect_size=\"33842176\"] \n  8 -> 9 [size =\"33842176\"]\n  9 [size=\"15534080\", alpha=\"0.02\", expect_size=\"6213632\"] \n  9 -> 10 [size =\"6213632\"]\n  10 [size=\"58245120\", alpha=\"0.10\", expect_size=\"23298048\"] \n  10 -> 11 [size =\"23298048\"]\n  11 [size=\"93017600\", alpha=\"0.04\", expect_size=\"37207040\"] \n  11 -> 12 [size =\"37207040\"]\n  12 [size=\"48908800\", alpha=\"0.11\", expect_size=\"19563520\"] \n  12 -> 13 [size =\"19563520\"]\n  13 [size=\"57200640\", alpha=\"0.09\", expect_size=\"22880256\"] \n  13 -> 14 [size =\"22880256\"]\n  14 [size=\"71930880\", alpha=\"0.19\", expect_size=\"28772352\"] \n  14 -> 15 [size =\"28772352\"]\n  15 [size=\"20876800\", alpha=\"0.16\", expect_size=\"8350720\"] \n  15 -> 16 [size =\"8350720\"]\n  16 [size=\"92736000\", alpha=\"0.07\", expect_size=\"37094400\"] \n  16 -> 17 [size =\"37094400\"]\n  17 [size=\"34918400\", alpha=\"0.03\", expect_size=\"13967360\"] \n  17 -> 18 [size =\"13967360\"]\n  18 [size=\"112975360\", alpha=\"0.03\", expect_size=\"45190144\"] \n  18 -> 19 [size =\"45190144\"]\n  19 [size=\"111229440\", alpha=\"0.12\", expect_size=\"44491776\"] \n  19 -> 20 [size =\"44491776\"]\n  20 [size=\"120099840\", alpha=\"0.13\", expect_size=\"48039936\"] \n  20 -> 21 [size =\"48039936\"]\n  21 [size=\"63232000\", alpha=\"0.06\", expect_size=\"25292800\"] \n  21 -> 22 [size =\"25292800\"]\n  22 [size=\"89285120\", alpha=\"0.14\", expect_size=\"35714048\"] \n  22 -> 23 [size =\"35714048\"]\n  23 [size=\"35156480\", alpha=\"0.07\", expect_size=\"14062592\"] \n  23 -> 24 [size =\"14062592\"]\n  24 [size=\"89369600\", alpha=\"0.10\", expect_size=\"35747840\"] \n  24 -> 25 [size =\"35747840\"]\n  25 [size=\"86356480\", alpha=\"0.01\", expect_size=\"34542592\"] \n  25 -> 26 [size =\"34542592\"]\n  26 [size=\"60986880\", alpha=\"0.09\", expect_size=\"24394752\"] \n  26 -> 27 [size =\"24394752\"]\n  27 [size=\"100853760\", alpha=\"0.18\", expect_size=\"40341504\"] \n  27 -> 28 [size =\"40341504\"]\n  28 [size=\"117368320\", alpha=\"0.19\", expect_size=\"46947328\"] \n  28 -> 29 [size =\"46947328\"]\n  29 [size=\"14428160\", alpha=\"0.01\", expect_size=\"5771264\"] \n  29 -> 30 [size =\"5771264\"]\n  30 [size=\"85642240\", alpha=\"0.10\", expect_size=\"34256896\"] \n  30 -> 31 [size =\"34256896\"]\n  31 [size=\"42846720\", alpha=\"0.12\", expect_size=\"17138688\"] \n  31 -> 32 [size =\"17138688\"]\n  32 [size=\"79249920\", alpha=\"0.01\", expect_size=\"31699968\"] \n  32 -> 33 [size =\"31699968\"]\n  33 [size=\"42442240\", alpha=\"0.17\", expect_size=\"16976896\"] \n  33 -> 34 [size =\"16976896\"]\n  34 [size=\"83512320\", alpha=\"0.03\", expect_size=\"33404928\"] \n  34 -> 35 [size =\"33404928\"]\n  35 [size=\"23316480\", alpha=\"0.11\", expect_size=\"9326592\"] \n  35 -> 36 [size =\"9326592\"]\n  36 [size=\"28508160\", alpha=\"0.11\", expect_size=\"11403264\"] \n  36 -> 37 [size =\"11403264\"]\n  37 [size=\"84144640\", alpha=\"0.16\", expect_size=\"33657856\"] \n  37 -> 38 [size =\"33657856\"]\n  38 [size=\"74012160\", alpha=\"0.18\", expect_size=\"29604864\"] \n  38 -> 39 [size =\"29604864\"]\n  39 [size=\"69608960\", alpha=\"0.16\", expect_size=\"27843584\"] \n  39 -> 40 [size =\"27843584\"]\n  40 [size=\"73361920\", alpha=\"0.12\", expect_size=\"29344768\"] \n  40 -> 41 [size =\"29344768\"]\n  41 [size=\"130411520\", alpha=\"0.17\", expect_size=\"52164608\"] \n  41 -> 42 [size =\"52164608\"]\n  42 [size=\"84738560\", alpha=\"0.15\", expect_size=\"33895424\"] \n  42 -> 43 [size =\"33895424\"]\n  43 [size=\"90112000\", alpha=\"0.16\", expect_size=\"36044800\"] \n  43 -> 44 [size =\"36044800\"]\n  44 [size=\"72660480\", alpha=\"0.11\", expect_size=\"29064192\"] \n  44 -> 45 [size =\"29064192\"]\n  45 [size=\"91210240\", alpha=\"0.17\", expect_size=\"36484096\"] \n  45 -> 46 [size =\"36484096\"]\n  46 [size=\"35568640\", alpha=\"0.12\", expect_size=\"14227456\"] \n  46 -> 47 [size =\"14227456\"]\n  47 [size=\"103324160\", alpha=\"0.02\", expect_size=\"41329664\"] \n  47 -> 48 [size =\"41329664\"]\n  48 [size=\"80368640\", alpha=\"0.10\", expect_size=\"32147456\"] \n  48 -> 49 [size =\"32147456\"]\n  49 [size=\"66565120\", alpha=\"0.17\", expect_size=\"26626048\"] \n  49 -> 50 [size =\"26626048\"]\n  50 [size=\"42076160\", alpha=\"0.17\", expect_size=\"16830464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.430.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173359787\", alpha=\"0.19\", expect_size=\"52007936\"] \n  1 -> 2 [size =\"52007936\"]\n  2 [size=\"140840960\", alpha=\"0.03\", expect_size=\"42252288\"] \n  2 -> 3 [size =\"42252288\"]\n  3 [size=\"102478507\", alpha=\"0.17\", expect_size=\"30743552\"] \n  3 -> 4 [size =\"30743552\"]\n  4 [size=\"146005333\", alpha=\"0.18\", expect_size=\"43801600\"] \n  4 -> 5 [size =\"43801600\"]\n  5 [size=\"99785387\", alpha=\"0.08\", expect_size=\"29935616\"] \n  5 -> 6 [size =\"29935616\"]\n  6 [size=\"98474667\", alpha=\"0.17\", expect_size=\"29542400\"] \n  6 -> 7 [size =\"29542400\"]\n  7 [size=\"64184320\", alpha=\"0.19\", expect_size=\"19255296\"] \n  7 -> 8 [size =\"19255296\"]\n  8 [size=\"148507307\", alpha=\"0.11\", expect_size=\"44552192\"] \n  8 -> 9 [size =\"44552192\"]\n  9 [size=\"31795200\", alpha=\"0.06\", expect_size=\"9538560\"] \n  9 -> 10 [size =\"9538560\"]\n  10 [size=\"88794453\", alpha=\"0.13\", expect_size=\"26638336\"] \n  10 -> 11 [size =\"26638336\"]\n  11 [size=\"129327787\", alpha=\"0.17\", expect_size=\"38798336\"] \n  11 -> 12 [size =\"38798336\"]\n  12 [size=\"120913920\", alpha=\"0.11\", expect_size=\"36274176\"] \n  12 -> 13 [size =\"36274176\"]\n  13 [size=\"143803733\", alpha=\"0.08\", expect_size=\"43141120\"] \n  13 -> 14 [size =\"43141120\"]\n  14 [size=\"121490773\", alpha=\"0.19\", expect_size=\"36447232\"] \n  14 -> 15 [size =\"36447232\"]\n  15 [size=\"109004800\", alpha=\"0.19\", expect_size=\"32701440\"] \n  15 -> 16 [size =\"32701440\"]\n  16 [size=\"171680427\", alpha=\"0.14\", expect_size=\"51504128\"] \n  16 -> 17 [size =\"51504128\"]\n  17 [size=\"147408213\", alpha=\"0.20\", expect_size=\"44222464\"] \n  17 -> 18 [size =\"44222464\"]\n  18 [size=\"141032107\", alpha=\"0.09\", expect_size=\"42309632\"] \n  18 -> 19 [size =\"42309632\"]\n  19 [size=\"72461653\", alpha=\"0.13\", expect_size=\"21738496\"] \n  19 -> 20 [size =\"21738496\"]\n  20 [size=\"116981760\", alpha=\"0.20\", expect_size=\"35094528\"] \n  20 -> 21 [size =\"35094528\"]\n  21 [size=\"61907627\", alpha=\"0.06\", expect_size=\"18572288\"] \n  21 -> 22 [size =\"18572288\"]\n  22 [size=\"41103360\", alpha=\"0.07\", expect_size=\"12331008\"] \n  22 -> 23 [size =\"12331008\"]\n  23 [size=\"130177707\", alpha=\"0.00\", expect_size=\"39053312\"] \n  23 -> 24 [size =\"39053312\"]\n  24 [size=\"38007467\", alpha=\"0.09\", expect_size=\"11402240\"] \n  24 -> 25 [size =\"11402240\"]\n  25 [size=\"27016533\", alpha=\"0.08\", expect_size=\"8104960\"] \n  25 -> 26 [size =\"8104960\"]\n  26 [size=\"19118080\", alpha=\"0.18\", expect_size=\"5735424\"] \n  26 -> 27 [size =\"5735424\"]\n  27 [size=\"126911147\", alpha=\"0.14\", expect_size=\"38073344\"] \n  27 -> 28 [size =\"38073344\"]\n  28 [size=\"126501547\", alpha=\"0.06\", expect_size=\"37950464\"] \n  28 -> 29 [size =\"37950464\"]\n  29 [size=\"42185387\", alpha=\"0.00\", expect_size=\"12655616\"] \n  29 -> 30 [size =\"12655616\"]\n  30 [size=\"146056533\", alpha=\"0.04\", expect_size=\"43816960\"] \n  30 -> 31 [size =\"43816960\"]\n  31 [size=\"142216533\", alpha=\"0.01\", expect_size=\"42664960\"] \n  31 -> 32 [size =\"42664960\"]\n  32 [size=\"29262507\", alpha=\"0.12\", expect_size=\"8778752\"] \n  32 -> 33 [size =\"8778752\"]\n  33 [size=\"87852373\", alpha=\"0.18\", expect_size=\"26355712\"] \n  33 -> 34 [size =\"26355712\"]\n  34 [size=\"88415573\", alpha=\"0.18\", expect_size=\"26524672\"] \n  34 -> 35 [size =\"26524672\"]\n  35 [size=\"159488000\", alpha=\"0.10\", expect_size=\"47846400\"] \n  35 -> 36 [size =\"47846400\"]\n  36 [size=\"68802560\", alpha=\"0.01\", expect_size=\"20640768\"] \n  36 -> 37 [size =\"20640768\"]\n  37 [size=\"54650880\", alpha=\"0.08\", expect_size=\"16395264\"] \n  37 -> 38 [size =\"16395264\"]\n  38 [size=\"163741013\", alpha=\"0.12\", expect_size=\"49122304\"] \n  38 -> 39 [size =\"49122304\"]\n  39 [size=\"55248213\", alpha=\"0.02\", expect_size=\"16574464\"] \n  39 -> 40 [size =\"16574464\"]\n  40 [size=\"58071040\", alpha=\"0.05\", expect_size=\"17421312\"] \n  40 -> 41 [size =\"17421312\"]\n  41 [size=\"86237867\", alpha=\"0.14\", expect_size=\"25871360\"] \n  41 -> 42 [size =\"25871360\"]\n  42 [size=\"94313813\", alpha=\"0.06\", expect_size=\"28294144\"] \n  42 -> 43 [size =\"28294144\"]\n  43 [size=\"28456960\", alpha=\"0.12\", expect_size=\"8537088\"] \n  43 -> 44 [size =\"8537088\"]\n  44 [size=\"172284587\", alpha=\"0.00\", expect_size=\"51685376\"] \n  44 -> 45 [size =\"51685376\"]\n  45 [size=\"157945173\", alpha=\"0.10\", expect_size=\"47383552\"] \n  45 -> 46 [size =\"47383552\"]\n  46 [size=\"76977493\", alpha=\"0.00\", expect_size=\"23093248\"] \n  46 -> 47 [size =\"23093248\"]\n  47 [size=\"83585707\", alpha=\"0.04\", expect_size=\"25075712\"] \n  47 -> 48 [size =\"25075712\"]\n  48 [size=\"150415360\", alpha=\"0.02\", expect_size=\"45124608\"] \n  48 -> 49 [size =\"45124608\"]\n  49 [size=\"86452907\", alpha=\"0.03\", expect_size=\"25935872\"] \n  49 -> 50 [size =\"25935872\"]\n  50 [size=\"103970133\", alpha=\"0.00\", expect_size=\"31191040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.431.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58292907\", alpha=\"0.13\", expect_size=\"17487872\"] \n  1 -> 2 [size =\"17487872\"]\n  2 [size=\"169762133\", alpha=\"0.16\", expect_size=\"50928640\"] \n  2 -> 3 [size =\"50928640\"]\n  3 [size=\"126723413\", alpha=\"0.18\", expect_size=\"38017024\"] \n  3 -> 4 [size =\"38017024\"]\n  4 [size=\"44247040\", alpha=\"0.15\", expect_size=\"13274112\"] \n  4 -> 5 [size =\"13274112\"]\n  5 [size=\"142428160\", alpha=\"0.11\", expect_size=\"42728448\"] \n  5 -> 6 [size =\"42728448\"]\n  6 [size=\"72082773\", alpha=\"0.06\", expect_size=\"21624832\"] \n  6 -> 7 [size =\"21624832\"]\n  7 [size=\"161484800\", alpha=\"0.06\", expect_size=\"48445440\"] \n  7 -> 8 [size =\"48445440\"]\n  8 [size=\"160798720\", alpha=\"0.13\", expect_size=\"48239616\"] \n  8 -> 9 [size =\"48239616\"]\n  9 [size=\"86005760\", alpha=\"0.02\", expect_size=\"25801728\"] \n  9 -> 10 [size =\"25801728\"]\n  10 [size=\"94378667\", alpha=\"0.05\", expect_size=\"28313600\"] \n  10 -> 11 [size =\"28313600\"]\n  11 [size=\"69365760\", alpha=\"0.07\", expect_size=\"20809728\"] \n  11 -> 12 [size =\"20809728\"]\n  12 [size=\"170854400\", alpha=\"0.14\", expect_size=\"51256320\"] \n  12 -> 13 [size =\"51256320\"]\n  13 [size=\"141226667\", alpha=\"0.13\", expect_size=\"42368000\"] \n  13 -> 14 [size =\"42368000\"]\n  14 [size=\"129409707\", alpha=\"0.08\", expect_size=\"38822912\"] \n  14 -> 15 [size =\"38822912\"]\n  15 [size=\"87043413\", alpha=\"0.02\", expect_size=\"26113024\"] \n  15 -> 16 [size =\"26113024\"]\n  16 [size=\"17681067\", alpha=\"0.07\", expect_size=\"5304320\"] \n  16 -> 17 [size =\"5304320\"]\n  17 [size=\"64979627\", alpha=\"0.13\", expect_size=\"19493888\"] \n  17 -> 18 [size =\"19493888\"]\n  18 [size=\"115746133\", alpha=\"0.11\", expect_size=\"34723840\"] \n  18 -> 19 [size =\"34723840\"]\n  19 [size=\"62723413\", alpha=\"0.15\", expect_size=\"18817024\"] \n  19 -> 20 [size =\"18817024\"]\n  20 [size=\"79230293\", alpha=\"0.20\", expect_size=\"23769088\"] \n  20 -> 21 [size =\"23769088\"]\n  21 [size=\"115176107\", alpha=\"0.10\", expect_size=\"34552832\"] \n  21 -> 22 [size =\"34552832\"]\n  22 [size=\"170905600\", alpha=\"0.19\", expect_size=\"51271680\"] \n  22 -> 23 [size =\"51271680\"]\n  23 [size=\"125443413\", alpha=\"0.02\", expect_size=\"37633024\"] \n  23 -> 24 [size =\"37633024\"]\n  24 [size=\"69741227\", alpha=\"0.09\", expect_size=\"20922368\"] \n  24 -> 25 [size =\"20922368\"]\n  25 [size=\"130887680\", alpha=\"0.12\", expect_size=\"39266304\"] \n  25 -> 26 [size =\"39266304\"]\n  26 [size=\"147165867\", alpha=\"0.01\", expect_size=\"44149760\"] \n  26 -> 27 [size =\"44149760\"]\n  27 [size=\"48667307\", alpha=\"0.09\", expect_size=\"14600192\"] \n  27 -> 28 [size =\"14600192\"]\n  28 [size=\"151548587\", alpha=\"0.15\", expect_size=\"45464576\"] \n  28 -> 29 [size =\"45464576\"]\n  29 [size=\"80165547\", alpha=\"0.10\", expect_size=\"24049664\"] \n  29 -> 30 [size =\"24049664\"]\n  30 [size=\"38420480\", alpha=\"0.15\", expect_size=\"11526144\"] \n  30 -> 31 [size =\"11526144\"]\n  31 [size=\"35007147\", alpha=\"0.06\", expect_size=\"10502144\"] \n  31 -> 32 [size =\"10502144\"]\n  32 [size=\"110742187\", alpha=\"0.17\", expect_size=\"33222656\"] \n  32 -> 33 [size =\"33222656\"]\n  33 [size=\"103342080\", alpha=\"0.03\", expect_size=\"31002624\"] \n  33 -> 34 [size =\"31002624\"]\n  34 [size=\"122053973\", alpha=\"0.04\", expect_size=\"36616192\"] \n  34 -> 35 [size =\"36616192\"]\n  35 [size=\"36365653\", alpha=\"0.13\", expect_size=\"10909696\"] \n  35 -> 36 [size =\"10909696\"]\n  36 [size=\"128512000\", alpha=\"0.03\", expect_size=\"38553600\"] \n  36 -> 37 [size =\"38553600\"]\n  37 [size=\"138530133\", alpha=\"0.18\", expect_size=\"41559040\"] \n  37 -> 38 [size =\"41559040\"]\n  38 [size=\"53145600\", alpha=\"0.06\", expect_size=\"15943680\"] \n  38 -> 39 [size =\"15943680\"]\n  39 [size=\"172963840\", alpha=\"0.00\", expect_size=\"51889152\"] \n  39 -> 40 [size =\"51889152\"]\n  40 [size=\"94658560\", alpha=\"0.02\", expect_size=\"28397568\"] \n  40 -> 41 [size =\"28397568\"]\n  41 [size=\"52418560\", alpha=\"0.16\", expect_size=\"15725568\"] \n  41 -> 42 [size =\"15725568\"]\n  42 [size=\"98133333\", alpha=\"0.09\", expect_size=\"29440000\"] \n  42 -> 43 [size =\"29440000\"]\n  43 [size=\"70611627\", alpha=\"0.17\", expect_size=\"21183488\"] \n  43 -> 44 [size =\"21183488\"]\n  44 [size=\"93600427\", alpha=\"0.11\", expect_size=\"28080128\"] \n  44 -> 45 [size =\"28080128\"]\n  45 [size=\"121753600\", alpha=\"0.19\", expect_size=\"36526080\"] \n  45 -> 46 [size =\"36526080\"]\n  46 [size=\"67355307\", alpha=\"0.04\", expect_size=\"20206592\"] \n  46 -> 47 [size =\"20206592\"]\n  47 [size=\"87893333\", alpha=\"0.13\", expect_size=\"26368000\"] \n  47 -> 48 [size =\"26368000\"]\n  48 [size=\"73588053\", alpha=\"0.19\", expect_size=\"22076416\"] \n  48 -> 49 [size =\"22076416\"]\n  49 [size=\"122709333\", alpha=\"0.13\", expect_size=\"36812800\"] \n  49 -> 50 [size =\"36812800\"]\n  50 [size=\"123221333\", alpha=\"0.09\", expect_size=\"36966400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.432.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86456320\", alpha=\"0.13\", expect_size=\"34582528\"] \n  1 -> 3 [size =\"34582528\"]\n  1 -> 4 [size =\"34582528\"]\n  1 -> 5 [size =\"34582528\"]\n  1 -> 6 [size =\"34582528\"]\n  2 [size=\"94922240\", alpha=\"0.00\", expect_size=\"37968896\"] \n  2 -> 4 [size =\"37968896\"]\n  2 -> 5 [size =\"37968896\"]\n  3 [size=\"33221120\", alpha=\"0.11\", expect_size=\"13288448\"] \n  3 -> 7 [size =\"13288448\"]\n  4 [size=\"76495360\", alpha=\"0.14\", expect_size=\"30598144\"] \n  5 [size=\"25832960\", alpha=\"0.11\", expect_size=\"10333184\"] \n  5 -> 7 [size =\"10333184\"]\n  6 [size=\"54126080\", alpha=\"0.19\", expect_size=\"21650432\"] \n  6 -> 7 [size =\"21650432\"]\n  7 [size=\"124815360\", alpha=\"0.02\", expect_size=\"49926144\"] \n  7 -> 8 [size =\"49926144\"]\n  7 -> 9 [size =\"49926144\"]\n  7 -> 10 [size =\"49926144\"]\n  8 [size=\"46341120\", alpha=\"0.04\", expect_size=\"18536448\"] \n  8 -> 11 [size =\"18536448\"]\n  8 -> 14 [size =\"18536448\"]\n  9 [size=\"99678720\", alpha=\"0.08\", expect_size=\"39871488\"] \n  9 -> 11 [size =\"39871488\"]\n  9 -> 12 [size =\"39871488\"]\n  10 [size=\"61859840\", alpha=\"0.01\", expect_size=\"24743936\"] \n  10 -> 12 [size =\"24743936\"]\n  10 -> 13 [size =\"24743936\"]\n  11 [size=\"111326720\", alpha=\"0.01\", expect_size=\"44530688\"] \n  11 -> 15 [size =\"44530688\"]\n  11 -> 16 [size =\"44530688\"]\n  11 -> 17 [size =\"44530688\"]\n  12 [size=\"68136960\", alpha=\"0.01\", expect_size=\"27254784\"] \n  12 -> 17 [size =\"27254784\"]\n  13 [size=\"69854720\", alpha=\"0.10\", expect_size=\"27941888\"] \n  13 -> 15 [size =\"27941888\"]\n  14 [size=\"16857600\", alpha=\"0.19\", expect_size=\"6743040\"] \n  14 -> 15 [size =\"6743040\"]\n  14 -> 16 [size =\"6743040\"]\n  14 -> 18 [size =\"6743040\"]\n  15 [size=\"97267200\", alpha=\"0.07\", expect_size=\"38906880\"] \n  15 -> 20 [size =\"38906880\"]\n  16 [size=\"43048960\", alpha=\"0.16\", expect_size=\"17219584\"] \n  16 -> 19 [size =\"17219584\"]\n  17 [size=\"35540480\", alpha=\"0.17\", expect_size=\"14216192\"] \n  18 [size=\"45429760\", alpha=\"0.15\", expect_size=\"18171904\"] \n  18 -> 20 [size =\"18171904\"]\n  19 [size=\"66160640\", alpha=\"0.15\", expect_size=\"26464256\"] \n  20 [size=\"112640000\", alpha=\"0.15\", expect_size=\"45056000\"] \n  20 -> 21 [size =\"45056000\"]\n  21 [size=\"118630400\", alpha=\"0.08\", expect_size=\"47452160\"] \n  21 -> 22 [size =\"47452160\"]\n  21 -> 23 [size =\"47452160\"]\n  22 [size=\"122828800\", alpha=\"0.15\", expect_size=\"49131520\"] \n  22 -> 24 [size =\"49131520\"]\n  22 -> 25 [size =\"49131520\"]\n  23 [size=\"128417280\", alpha=\"0.05\", expect_size=\"51366912\"] \n  23 -> 25 [size =\"51366912\"]\n  23 -> 26 [size =\"51366912\"]\n  24 [size=\"69376000\", alpha=\"0.06\", expect_size=\"27750400\"] \n  24 -> 27 [size =\"27750400\"]\n  24 -> 29 [size =\"27750400\"]\n  25 [size=\"62837760\", alpha=\"0.10\", expect_size=\"25135104\"] \n  26 [size=\"103505920\", alpha=\"0.20\", expect_size=\"41402368\"] \n  26 -> 27 [size =\"41402368\"]\n  26 -> 28 [size =\"41402368\"]\n  27 [size=\"79121920\", alpha=\"0.09\", expect_size=\"31648768\"] \n  28 [size=\"63408640\", alpha=\"0.04\", expect_size=\"25363456\"] \n  29 [size=\"31969280\", alpha=\"0.13\", expect_size=\"12787712\"] \n  29 -> 30 [size =\"12787712\"]\n  30 [size=\"117844480\", alpha=\"0.11\", expect_size=\"47137792\"] \n  30 -> 31 [size =\"47137792\"]\n  30 -> 32 [size =\"47137792\"]\n  31 [size=\"89164800\", alpha=\"0.05\", expect_size=\"35665920\"] \n  31 -> 34 [size =\"35665920\"]\n  32 [size=\"19281920\", alpha=\"0.09\", expect_size=\"7712768\"] \n  32 -> 33 [size =\"7712768\"]\n  32 -> 34 [size =\"7712768\"]\n  32 -> 35 [size =\"7712768\"]\n  33 [size=\"107973120\", alpha=\"0.02\", expect_size=\"43189248\"] \n  34 [size=\"21460480\", alpha=\"0.16\", expect_size=\"8584192\"] \n  34 -> 36 [size =\"8584192\"]\n  35 [size=\"59064320\", alpha=\"0.04\", expect_size=\"23625728\"] \n  35 -> 36 [size =\"23625728\"]\n  36 [size=\"115545600\", alpha=\"0.17\", expect_size=\"46218240\"] \n  36 -> 37 [size =\"46218240\"]\n  36 -> 38 [size =\"46218240\"]\n  37 [size=\"113960960\", alpha=\"0.14\", expect_size=\"45584384\"] \n  37 -> 39 [size =\"45584384\"]\n  38 [size=\"48053760\", alpha=\"0.17\", expect_size=\"19221504\"] \n  38 -> 39 [size =\"19221504\"]\n  39 [size=\"69030400\", alpha=\"0.08\", expect_size=\"27612160\"] \n  39 -> 40 [size =\"27612160\"]\n  39 -> 41 [size =\"27612160\"]\n  40 [size=\"27530240\", alpha=\"0.17\", expect_size=\"11012096\"] \n  40 -> 42 [size =\"11012096\"]\n  40 -> 43 [size =\"11012096\"]\n  40 -> 44 [size =\"11012096\"]\n  41 [size=\"90270720\", alpha=\"0.03\", expect_size=\"36108288\"] \n  42 [size=\"119546880\", alpha=\"0.08\", expect_size=\"47818752\"] \n  42 -> 45 [size =\"47818752\"]\n  43 [size=\"52421120\", alpha=\"0.12\", expect_size=\"20968448\"] \n  44 [size=\"63605760\", alpha=\"0.06\", expect_size=\"25442304\"] \n  44 -> 45 [size =\"25442304\"]\n  45 [size=\"38891520\", alpha=\"0.09\", expect_size=\"15556608\"] \n  45 -> 46 [size =\"15556608\"]\n  45 -> 47 [size =\"15556608\"]\n  45 -> 48 [size =\"15556608\"]\n  46 [size=\"62438400\", alpha=\"0.07\", expect_size=\"24975360\"] \n  47 [size=\"46220800\", alpha=\"0.16\", expect_size=\"18488320\"] \n  47 -> 49 [size =\"18488320\"]\n  48 [size=\"130639360\", alpha=\"0.13\", expect_size=\"52255744\"] \n  48 -> 50 [size =\"52255744\"]\n  49 [size=\"112087040\", alpha=\"0.14\", expect_size=\"44834816\"] \n  50 [size=\"43619840\", alpha=\"0.12\", expect_size=\"17447936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.433.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59654144\", alpha=\"0.02\", expect_size=\"29827072\"] \n  1 -> 3 [size =\"29827072\"]\n  2 [size=\"24152064\", alpha=\"0.18\", expect_size=\"12076032\"] \n  2 -> 3 [size =\"12076032\"]\n  2 -> 4 [size =\"12076032\"]\n  3 [size=\"90429440\", alpha=\"0.05\", expect_size=\"45214720\"] \n  3 -> 5 [size =\"45214720\"]\n  3 -> 6 [size =\"45214720\"]\n  3 -> 7 [size =\"45214720\"]\n  4 [size=\"98185216\", alpha=\"0.00\", expect_size=\"49092608\"] \n  4 -> 5 [size =\"49092608\"]\n  4 -> 7 [size =\"49092608\"]\n  5 [size=\"23541760\", alpha=\"0.06\", expect_size=\"11770880\"] \n  5 -> 8 [size =\"11770880\"]\n  5 -> 9 [size =\"11770880\"]\n  6 [size=\"19746816\", alpha=\"0.16\", expect_size=\"9873408\"] \n  6 -> 9 [size =\"9873408\"]\n  7 [size=\"92037120\", alpha=\"0.05\", expect_size=\"46018560\"] \n  7 -> 8 [size =\"46018560\"]\n  7 -> 9 [size =\"46018560\"]\n  8 [size=\"104699904\", alpha=\"0.07\", expect_size=\"52349952\"] \n  8 -> 10 [size =\"52349952\"]\n  8 -> 11 [size =\"52349952\"]\n  9 [size=\"45004800\", alpha=\"0.12\", expect_size=\"22502400\"] \n  9 -> 10 [size =\"22502400\"]\n  10 [size=\"97945600\", alpha=\"0.17\", expect_size=\"48972800\"] \n  10 -> 13 [size =\"48972800\"]\n  11 [size=\"99999744\", alpha=\"0.02\", expect_size=\"49999872\"] \n  11 -> 12 [size =\"49999872\"]\n  11 -> 13 [size =\"49999872\"]\n  12 [size=\"13705216\", alpha=\"0.10\", expect_size=\"6852608\"] \n  12 -> 14 [size =\"6852608\"]\n  12 -> 15 [size =\"6852608\"]\n  12 -> 16 [size =\"6852608\"]\n  13 [size=\"98279424\", alpha=\"0.01\", expect_size=\"49139712\"] \n  13 -> 14 [size =\"49139712\"]\n  13 -> 15 [size =\"49139712\"]\n  13 -> 16 [size =\"49139712\"]\n  14 [size=\"29489152\", alpha=\"0.19\", expect_size=\"14744576\"] \n  14 -> 17 [size =\"14744576\"]\n  14 -> 18 [size =\"14744576\"]\n  15 [size=\"29894656\", alpha=\"0.03\", expect_size=\"14947328\"] \n  16 [size=\"58308608\", alpha=\"0.10\", expect_size=\"29154304\"] \n  16 -> 17 [size =\"29154304\"]\n  17 [size=\"39776256\", alpha=\"0.19\", expect_size=\"19888128\"] \n  17 -> 19 [size =\"19888128\"]\n  17 -> 21 [size =\"19888128\"]\n  18 [size=\"65220608\", alpha=\"0.07\", expect_size=\"32610304\"] \n  18 -> 19 [size =\"32610304\"]\n  18 -> 20 [size =\"32610304\"]\n  18 -> 21 [size =\"32610304\"]\n  19 [size=\"97148928\", alpha=\"0.04\", expect_size=\"48574464\"] \n  19 -> 22 [size =\"48574464\"]\n  19 -> 23 [size =\"48574464\"]\n  19 -> 24 [size =\"48574464\"]\n  20 [size=\"57280512\", alpha=\"0.18\", expect_size=\"28640256\"] \n  20 -> 23 [size =\"28640256\"]\n  20 -> 24 [size =\"28640256\"]\n  21 [size=\"45002752\", alpha=\"0.03\", expect_size=\"22501376\"] \n  22 [size=\"53135360\", alpha=\"0.10\", expect_size=\"26567680\"] \n  22 -> 25 [size =\"26567680\"]\n  23 [size=\"100767744\", alpha=\"0.14\", expect_size=\"50383872\"] \n  23 -> 26 [size =\"50383872\"]\n  24 [size=\"12959744\", alpha=\"0.17\", expect_size=\"6479872\"] \n  24 -> 25 [size =\"6479872\"]\n  24 -> 26 [size =\"6479872\"]\n  25 [size=\"102694912\", alpha=\"0.03\", expect_size=\"51347456\"] \n  25 -> 27 [size =\"51347456\"]\n  25 -> 28 [size =\"51347456\"]\n  26 [size=\"22702080\", alpha=\"0.11\", expect_size=\"11351040\"] \n  26 -> 27 [size =\"11351040\"]\n  26 -> 28 [size =\"11351040\"]\n  27 [size=\"68841472\", alpha=\"0.16\", expect_size=\"34420736\"] \n  27 -> 29 [size =\"34420736\"]\n  27 -> 30 [size =\"34420736\"]\n  28 [size=\"65587200\", alpha=\"0.01\", expect_size=\"32793600\"] \n  28 -> 29 [size =\"32793600\"]\n  28 -> 30 [size =\"32793600\"]\n  29 [size=\"97148928\", alpha=\"0.13\", expect_size=\"48574464\"] \n  29 -> 31 [size =\"48574464\"]\n  29 -> 32 [size =\"48574464\"]\n  29 -> 33 [size =\"48574464\"]\n  30 [size=\"20658176\", alpha=\"0.04\", expect_size=\"10329088\"] \n  30 -> 31 [size =\"10329088\"]\n  30 -> 32 [size =\"10329088\"]\n  31 [size=\"10930176\", alpha=\"0.14\", expect_size=\"5465088\"] \n  31 -> 34 [size =\"5465088\"]\n  32 [size=\"22765568\", alpha=\"0.04\", expect_size=\"11382784\"] \n  32 -> 34 [size =\"11382784\"]\n  32 -> 35 [size =\"11382784\"]\n  33 [size=\"69830656\", alpha=\"0.13\", expect_size=\"34915328\"] \n  33 -> 34 [size =\"34915328\"]\n  33 -> 35 [size =\"34915328\"]\n  34 [size=\"43325440\", alpha=\"0.06\", expect_size=\"21662720\"] \n  34 -> 36 [size =\"21662720\"]\n  34 -> 37 [size =\"21662720\"]\n  35 [size=\"30951424\", alpha=\"0.04\", expect_size=\"15475712\"] \n  35 -> 36 [size =\"15475712\"]\n  36 [size=\"45764608\", alpha=\"0.11\", expect_size=\"22882304\"] \n  36 -> 38 [size =\"22882304\"]\n  36 -> 39 [size =\"22882304\"]\n  37 [size=\"97028096\", alpha=\"0.05\", expect_size=\"48514048\"] \n  37 -> 38 [size =\"48514048\"]\n  38 [size=\"77549568\", alpha=\"0.10\", expect_size=\"38774784\"] \n  38 -> 40 [size =\"38774784\"]\n  38 -> 41 [size =\"38774784\"]\n  39 [size=\"81543168\", alpha=\"0.13\", expect_size=\"40771584\"] \n  39 -> 40 [size =\"40771584\"]\n  39 -> 41 [size =\"40771584\"]\n  40 [size=\"49160192\", alpha=\"0.07\", expect_size=\"24580096\"] \n  40 -> 42 [size =\"24580096\"]\n  40 -> 43 [size =\"24580096\"]\n  40 -> 44 [size =\"24580096\"]\n  41 [size=\"67858432\", alpha=\"0.08\", expect_size=\"33929216\"] \n  41 -> 42 [size =\"33929216\"]\n  41 -> 43 [size =\"33929216\"]\n  41 -> 44 [size =\"33929216\"]\n  42 [size=\"38412288\", alpha=\"0.17\", expect_size=\"19206144\"] \n  42 -> 45 [size =\"19206144\"]\n  42 -> 47 [size =\"19206144\"]\n  43 [size=\"58413056\", alpha=\"0.06\", expect_size=\"29206528\"] \n  43 -> 45 [size =\"29206528\"]\n  43 -> 47 [size =\"29206528\"]\n  44 [size=\"26910720\", alpha=\"0.16\", expect_size=\"13455360\"] \n  44 -> 45 [size =\"13455360\"]\n  44 -> 46 [size =\"13455360\"]\n  44 -> 47 [size =\"13455360\"]\n  45 [size=\"57278464\", alpha=\"0.05\", expect_size=\"28639232\"] \n  45 -> 48 [size =\"28639232\"]\n  45 -> 49 [size =\"28639232\"]\n  46 [size=\"74559488\", alpha=\"0.16\", expect_size=\"37279744\"] \n  46 -> 48 [size =\"37279744\"]\n  47 [size=\"32202752\", alpha=\"0.00\", expect_size=\"16101376\"] \n  47 -> 48 [size =\"16101376\"]\n  48 [size=\"53872640\", alpha=\"0.16\", expect_size=\"26936320\"] \n  48 -> 50 [size =\"26936320\"]\n  49 [size=\"99936256\", alpha=\"0.10\", expect_size=\"49968128\"] \n  50 [size=\"68311040\", alpha=\"0.06\", expect_size=\"34155520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.434.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88384000\", alpha=\"0.19\", expect_size=\"35353600\"] \n  1 -> 4 [size =\"35353600\"]\n  1 -> 5 [size =\"35353600\"]\n  2 [size=\"19456000\", alpha=\"0.07\", expect_size=\"7782400\"] \n  2 -> 3 [size =\"7782400\"]\n  3 [size=\"48197120\", alpha=\"0.04\", expect_size=\"19278848\"] \n  4 [size=\"73825280\", alpha=\"0.17\", expect_size=\"29530112\"] \n  4 -> 8 [size =\"29530112\"]\n  5 [size=\"54942720\", alpha=\"0.01\", expect_size=\"21977088\"] \n  5 -> 6 [size =\"21977088\"]\n  5 -> 7 [size =\"21977088\"]\n  6 [size=\"24273920\", alpha=\"0.05\", expect_size=\"9709568\"] \n  6 -> 9 [size =\"9709568\"]\n  6 -> 10 [size =\"9709568\"]\n  7 [size=\"37872640\", alpha=\"0.08\", expect_size=\"15149056\"] \n  8 [size=\"72296960\", alpha=\"0.08\", expect_size=\"28918784\"] \n  8 -> 9 [size =\"28918784\"]\n  9 [size=\"78702080\", alpha=\"0.16\", expect_size=\"31480832\"] \n  9 -> 11 [size =\"31480832\"]\n  10 [size=\"51624960\", alpha=\"0.09\", expect_size=\"20649984\"] \n  10 -> 12 [size =\"20649984\"]\n  11 [size=\"44595200\", alpha=\"0.18\", expect_size=\"17838080\"] \n  12 [size=\"40166400\", alpha=\"0.00\", expect_size=\"16066560\"] \n  12 -> 13 [size =\"16066560\"]\n  12 -> 14 [size =\"16066560\"]\n  12 -> 15 [size =\"16066560\"]\n  13 [size=\"80616960\", alpha=\"0.11\", expect_size=\"32246784\"] \n  13 -> 16 [size =\"32246784\"]\n  13 -> 17 [size =\"32246784\"]\n  14 [size=\"104028160\", alpha=\"0.08\", expect_size=\"41611264\"] \n  14 -> 18 [size =\"41611264\"]\n  15 [size=\"85455360\", alpha=\"0.12\", expect_size=\"34182144\"] \n  16 [size=\"89313280\", alpha=\"0.10\", expect_size=\"35725312\"] \n  17 [size=\"120015360\", alpha=\"0.16\", expect_size=\"48006144\"] \n  17 -> 19 [size =\"48006144\"]\n  18 [size=\"51875840\", alpha=\"0.01\", expect_size=\"20750336\"] \n  18 -> 19 [size =\"20750336\"]\n  18 -> 20 [size =\"20750336\"]\n  19 [size=\"101693440\", alpha=\"0.13\", expect_size=\"40677376\"] \n  20 [size=\"75351040\", alpha=\"0.03\", expect_size=\"30140416\"] \n  20 -> 21 [size =\"30140416\"]\n  20 -> 22 [size =\"30140416\"]\n  21 [size=\"129536000\", alpha=\"0.06\", expect_size=\"51814400\"] \n  22 [size=\"117040640\", alpha=\"0.10\", expect_size=\"46816256\"] \n  22 -> 23 [size =\"46816256\"]\n  22 -> 24 [size =\"46816256\"]\n  23 [size=\"117941760\", alpha=\"0.00\", expect_size=\"47176704\"] \n  23 -> 25 [size =\"47176704\"]\n  23 -> 26 [size =\"47176704\"]\n  24 [size=\"65123840\", alpha=\"0.00\", expect_size=\"26049536\"] \n  25 [size=\"112143360\", alpha=\"0.08\", expect_size=\"44857344\"] \n  25 -> 28 [size =\"44857344\"]\n  26 [size=\"64652800\", alpha=\"0.17\", expect_size=\"25861120\"] \n  26 -> 27 [size =\"25861120\"]\n  27 [size=\"121495040\", alpha=\"0.11\", expect_size=\"48598016\"] \n  28 [size=\"98616320\", alpha=\"0.14\", expect_size=\"39446528\"] \n  28 -> 29 [size =\"39446528\"]\n  28 -> 30 [size =\"39446528\"]\n  28 -> 31 [size =\"39446528\"]\n  29 [size=\"107136000\", alpha=\"0.09\", expect_size=\"42854400\"] \n  29 -> 32 [size =\"42854400\"]\n  30 [size=\"63610880\", alpha=\"0.10\", expect_size=\"25444352\"] \n  30 -> 32 [size =\"25444352\"]\n  30 -> 34 [size =\"25444352\"]\n  31 [size=\"80611840\", alpha=\"0.17\", expect_size=\"32244736\"] \n  31 -> 33 [size =\"32244736\"]\n  31 -> 34 [size =\"32244736\"]\n  32 [size=\"115456000\", alpha=\"0.08\", expect_size=\"46182400\"] \n  33 [size=\"56527360\", alpha=\"0.10\", expect_size=\"22610944\"] \n  33 -> 35 [size =\"22610944\"]\n  33 -> 36 [size =\"22610944\"]\n  34 [size=\"56880640\", alpha=\"0.08\", expect_size=\"22752256\"] \n  35 [size=\"59266560\", alpha=\"0.19\", expect_size=\"23706624\"] \n  35 -> 37 [size =\"23706624\"]\n  36 [size=\"105528320\", alpha=\"0.02\", expect_size=\"42211328\"] \n  36 -> 38 [size =\"42211328\"]\n  37 [size=\"88867840\", alpha=\"0.03\", expect_size=\"35547136\"] \n  37 -> 39 [size =\"35547136\"]\n  37 -> 40 [size =\"35547136\"]\n  38 [size=\"34048000\", alpha=\"0.11\", expect_size=\"13619200\"] \n  39 [size=\"118231040\", alpha=\"0.14\", expect_size=\"47292416\"] \n  39 -> 42 [size =\"47292416\"]\n  40 [size=\"53114880\", alpha=\"0.08\", expect_size=\"21245952\"] \n  40 -> 41 [size =\"21245952\"]\n  40 -> 43 [size =\"21245952\"]\n  41 [size=\"113149440\", alpha=\"0.01\", expect_size=\"45259776\"] \n  41 -> 46 [size =\"45259776\"]\n  42 [size=\"93893120\", alpha=\"0.12\", expect_size=\"37557248\"] \n  42 -> 44 [size =\"37557248\"]\n  42 -> 45 [size =\"37557248\"]\n  43 [size=\"22407680\", alpha=\"0.00\", expect_size=\"8963072\"] \n  43 -> 46 [size =\"8963072\"]\n  44 [size=\"84167680\", alpha=\"0.18\", expect_size=\"33667072\"] \n  44 -> 48 [size =\"33667072\"]\n  45 [size=\"16202240\", alpha=\"0.12\", expect_size=\"6480896\"] \n  45 -> 47 [size =\"6480896\"]\n  46 [size=\"126789120\", alpha=\"0.15\", expect_size=\"50715648\"] \n  46 -> 47 [size =\"50715648\"]\n  46 -> 48 [size =\"50715648\"]\n  46 -> 49 [size =\"50715648\"]\n  47 [size=\"20277760\", alpha=\"0.16\", expect_size=\"8111104\"] \n  47 -> 50 [size =\"8111104\"]\n  48 [size=\"39508480\", alpha=\"0.12\", expect_size=\"15803392\"] \n  49 [size=\"105285120\", alpha=\"0.04\", expect_size=\"42114048\"] \n  50 [size=\"70264320\", alpha=\"0.04\", expect_size=\"28105728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.435.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32751616\", alpha=\"0.14\", expect_size=\"16375808\"] \n  1 -> 3 [size =\"16375808\"]\n  2 [size=\"57726976\", alpha=\"0.05\", expect_size=\"28863488\"] \n  2 -> 4 [size =\"28863488\"]\n  3 [size=\"26902528\", alpha=\"0.16\", expect_size=\"13451264\"] \n  3 -> 5 [size =\"13451264\"]\n  3 -> 6 [size =\"13451264\"]\n  4 [size=\"32167936\", alpha=\"0.06\", expect_size=\"16083968\"] \n  4 -> 6 [size =\"16083968\"]\n  5 [size=\"73893888\", alpha=\"0.17\", expect_size=\"36946944\"] \n  5 -> 9 [size =\"36946944\"]\n  6 [size=\"90689536\", alpha=\"0.13\", expect_size=\"45344768\"] \n  6 -> 7 [size =\"45344768\"]\n  6 -> 8 [size =\"45344768\"]\n  6 -> 9 [size =\"45344768\"]\n  7 [size=\"17250304\", alpha=\"0.16\", expect_size=\"8625152\"] \n  7 -> 12 [size =\"8625152\"]\n  8 [size=\"27654144\", alpha=\"0.08\", expect_size=\"13827072\"] \n  8 -> 10 [size =\"13827072\"]\n  9 [size=\"30580736\", alpha=\"0.02\", expect_size=\"15290368\"] \n  9 -> 11 [size =\"15290368\"]\n  10 [size=\"10866688\", alpha=\"0.12\", expect_size=\"5433344\"] \n  10 -> 13 [size =\"5433344\"]\n  11 [size=\"17993728\", alpha=\"0.19\", expect_size=\"8996864\"] \n  12 [size=\"83390464\", alpha=\"0.10\", expect_size=\"41695232\"] \n  12 -> 13 [size =\"41695232\"]\n  12 -> 14 [size =\"41695232\"]\n  13 [size=\"12435456\", alpha=\"0.04\", expect_size=\"6217728\"] \n  13 -> 16 [size =\"6217728\"]\n  14 [size=\"88750080\", alpha=\"0.19\", expect_size=\"44375040\"] \n  14 -> 15 [size =\"44375040\"]\n  14 -> 16 [size =\"44375040\"]\n  14 -> 17 [size =\"44375040\"]\n  15 [size=\"20334592\", alpha=\"0.13\", expect_size=\"10167296\"] \n  15 -> 18 [size =\"10167296\"]\n  15 -> 19 [size =\"10167296\"]\n  16 [size=\"98529280\", alpha=\"0.05\", expect_size=\"49264640\"] \n  17 [size=\"64602112\", alpha=\"0.20\", expect_size=\"32301056\"] \n  17 -> 20 [size =\"32301056\"]\n  18 [size=\"47116288\", alpha=\"0.19\", expect_size=\"23558144\"] \n  18 -> 21 [size =\"23558144\"]\n  18 -> 22 [size =\"23558144\"]\n  19 [size=\"85800960\", alpha=\"0.02\", expect_size=\"42900480\"] \n  20 [size=\"96905216\", alpha=\"0.02\", expect_size=\"48452608\"] \n  20 -> 21 [size =\"48452608\"]\n  20 -> 22 [size =\"48452608\"]\n  21 [size=\"60305408\", alpha=\"0.06\", expect_size=\"30152704\"] \n  21 -> 23 [size =\"30152704\"]\n  21 -> 24 [size =\"30152704\"]\n  22 [size=\"54503424\", alpha=\"0.01\", expect_size=\"27251712\"] \n  22 -> 23 [size =\"27251712\"]\n  22 -> 24 [size =\"27251712\"]\n  23 [size=\"101120000\", alpha=\"0.19\", expect_size=\"50560000\"] \n  23 -> 25 [size =\"50560000\"]\n  23 -> 26 [size =\"50560000\"]\n  24 [size=\"25982976\", alpha=\"0.02\", expect_size=\"12991488\"] \n  25 [size=\"19224576\", alpha=\"0.18\", expect_size=\"9612288\"] \n  26 [size=\"79749120\", alpha=\"0.11\", expect_size=\"39874560\"] \n  26 -> 27 [size =\"39874560\"]\n  26 -> 28 [size =\"39874560\"]\n  27 [size=\"103989248\", alpha=\"0.05\", expect_size=\"51994624\"] \n  27 -> 29 [size =\"51994624\"]\n  27 -> 30 [size =\"51994624\"]\n  28 [size=\"101689344\", alpha=\"0.03\", expect_size=\"50844672\"] \n  29 [size=\"95277056\", alpha=\"0.06\", expect_size=\"47638528\"] \n  29 -> 32 [size =\"47638528\"]\n  29 -> 33 [size =\"47638528\"]\n  30 [size=\"103999488\", alpha=\"0.08\", expect_size=\"51999744\"] \n  30 -> 31 [size =\"51999744\"]\n  30 -> 32 [size =\"51999744\"]\n  31 [size=\"17588224\", alpha=\"0.12\", expect_size=\"8794112\"] \n  32 [size=\"47048704\", alpha=\"0.12\", expect_size=\"23524352\"] \n  32 -> 34 [size =\"23524352\"]\n  33 [size=\"50884608\", alpha=\"0.12\", expect_size=\"25442304\"] \n  33 -> 34 [size =\"25442304\"]\n  33 -> 35 [size =\"25442304\"]\n  34 [size=\"45510656\", alpha=\"0.08\", expect_size=\"22755328\"] \n  34 -> 37 [size =\"22755328\"]\n  35 [size=\"52609024\", alpha=\"0.07\", expect_size=\"26304512\"] \n  35 -> 36 [size =\"26304512\"]\n  35 -> 37 [size =\"26304512\"]\n  36 [size=\"41218048\", alpha=\"0.04\", expect_size=\"20609024\"] \n  36 -> 38 [size =\"20609024\"]\n  37 [size=\"91543552\", alpha=\"0.13\", expect_size=\"45771776\"] \n  37 -> 39 [size =\"45771776\"]\n  37 -> 40 [size =\"45771776\"]\n  38 [size=\"21604352\", alpha=\"0.09\", expect_size=\"10802176\"] \n  38 -> 42 [size =\"10802176\"]\n  38 -> 43 [size =\"10802176\"]\n  39 [size=\"37316608\", alpha=\"0.02\", expect_size=\"18658304\"] \n  39 -> 41 [size =\"18658304\"]\n  39 -> 43 [size =\"18658304\"]\n  40 [size=\"64405504\", alpha=\"0.13\", expect_size=\"32202752\"] \n  41 [size=\"103249920\", alpha=\"0.14\", expect_size=\"51624960\"] \n  41 -> 44 [size =\"51624960\"]\n  41 -> 45 [size =\"51624960\"]\n  42 [size=\"66990080\", alpha=\"0.05\", expect_size=\"33495040\"] \n  43 [size=\"28528640\", alpha=\"0.15\", expect_size=\"14264320\"] \n  43 -> 46 [size =\"14264320\"]\n  44 [size=\"84189184\", alpha=\"0.08\", expect_size=\"42094592\"] \n  44 -> 48 [size =\"42094592\"]\n  45 [size=\"29120512\", alpha=\"0.03\", expect_size=\"14560256\"] \n  45 -> 48 [size =\"14560256\"]\n  46 [size=\"61919232\", alpha=\"0.13\", expect_size=\"30959616\"] \n  46 -> 47 [size =\"30959616\"]\n  47 [size=\"81883136\", alpha=\"0.02\", expect_size=\"40941568\"] \n  47 -> 49 [size =\"40941568\"]\n  47 -> 50 [size =\"40941568\"]\n  48 [size=\"48760832\", alpha=\"0.11\", expect_size=\"24380416\"] \n  48 -> 49 [size =\"24380416\"]\n  48 -> 50 [size =\"24380416\"]\n  49 [size=\"93552640\", alpha=\"0.18\", expect_size=\"46776320\"] \n  50 [size=\"102834176\", alpha=\"0.04\", expect_size=\"51417088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.436.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36078933\", alpha=\"0.18\", expect_size=\"10823680\"] \n  1 -> 11 [size =\"10823680\"]\n  1 -> 12 [size =\"10823680\"]\n  1 -> 16 [size =\"10823680\"]\n  1 -> 18 [size =\"10823680\"]\n  1 -> 21 [size =\"10823680\"]\n  2 [size=\"69591040\", alpha=\"0.14\", expect_size=\"20877312\"] \n  2 -> 11 [size =\"20877312\"]\n  2 -> 12 [size =\"20877312\"]\n  2 -> 16 [size =\"20877312\"]\n  3 [size=\"85486933\", alpha=\"0.14\", expect_size=\"25646080\"] \n  3 -> 20 [size =\"25646080\"]\n  4 [size=\"19428693\", alpha=\"0.11\", expect_size=\"5828608\"] \n  4 -> 13 [size =\"5828608\"]\n  4 -> 17 [size =\"5828608\"]\n  4 -> 18 [size =\"5828608\"]\n  5 [size=\"146080427\", alpha=\"0.16\", expect_size=\"43824128\"] \n  5 -> 13 [size =\"43824128\"]\n  5 -> 14 [size =\"43824128\"]\n  5 -> 16 [size =\"43824128\"]\n  5 -> 17 [size =\"43824128\"]\n  5 -> 19 [size =\"43824128\"]\n  6 [size=\"130406400\", alpha=\"0.15\", expect_size=\"39121920\"] \n  6 -> 12 [size =\"39121920\"]\n  6 -> 14 [size =\"39121920\"]\n  6 -> 17 [size =\"39121920\"]\n  7 [size=\"85527893\", alpha=\"0.10\", expect_size=\"25658368\"] \n  7 -> 13 [size =\"25658368\"]\n  7 -> 17 [size =\"25658368\"]\n  7 -> 19 [size =\"25658368\"]\n  8 [size=\"122023253\", alpha=\"0.08\", expect_size=\"36606976\"] \n  8 -> 17 [size =\"36606976\"]\n  8 -> 18 [size =\"36606976\"]\n  8 -> 19 [size =\"36606976\"]\n  9 [size=\"85555200\", alpha=\"0.12\", expect_size=\"25666560\"] \n  9 -> 11 [size =\"25666560\"]\n  9 -> 12 [size =\"25666560\"]\n  9 -> 15 [size =\"25666560\"]\n  9 -> 18 [size =\"25666560\"]\n  10 [size=\"131454293\", alpha=\"0.15\", expect_size=\"39436288\"] \n  10 -> 15 [size =\"39436288\"]\n  10 -> 18 [size =\"39436288\"]\n  10 -> 19 [size =\"39436288\"]\n  11 [size=\"118971733\", alpha=\"0.07\", expect_size=\"35691520\"] \n  11 -> 26 [size =\"35691520\"]\n  11 -> 28 [size =\"35691520\"]\n  12 [size=\"103359147\", alpha=\"0.03\", expect_size=\"31007744\"] \n  12 -> 26 [size =\"31007744\"]\n  13 [size=\"54845440\", alpha=\"0.13\", expect_size=\"16453632\"] \n  13 -> 24 [size =\"16453632\"]\n  13 -> 28 [size =\"16453632\"]\n  13 -> 29 [size =\"16453632\"]\n  14 [size=\"164420267\", alpha=\"0.06\", expect_size=\"49326080\"] \n  14 -> 22 [size =\"49326080\"]\n  14 -> 25 [size =\"49326080\"]\n  14 -> 27 [size =\"49326080\"]\n  14 -> 29 [size =\"49326080\"]\n  15 [size=\"96518827\", alpha=\"0.10\", expect_size=\"28955648\"] \n  15 -> 25 [size =\"28955648\"]\n  15 -> 28 [size =\"28955648\"]\n  15 -> 29 [size =\"28955648\"]\n  16 [size=\"67382613\", alpha=\"0.07\", expect_size=\"20214784\"] \n  16 -> 23 [size =\"20214784\"]\n  16 -> 29 [size =\"20214784\"]\n  17 [size=\"24538453\", alpha=\"0.16\", expect_size=\"7361536\"] \n  17 -> 22 [size =\"7361536\"]\n  17 -> 24 [size =\"7361536\"]\n  17 -> 27 [size =\"7361536\"]\n  18 [size=\"104529920\", alpha=\"0.07\", expect_size=\"31358976\"] \n  18 -> 24 [size =\"31358976\"]\n  18 -> 25 [size =\"31358976\"]\n  18 -> 28 [size =\"31358976\"]\n  18 -> 29 [size =\"31358976\"]\n  19 [size=\"165556907\", alpha=\"0.06\", expect_size=\"49667072\"] \n  20 [size=\"105424213\", alpha=\"0.06\", expect_size=\"31627264\"] \n  20 -> 24 [size =\"31627264\"]\n  20 -> 25 [size =\"31627264\"]\n  20 -> 26 [size =\"31627264\"]\n  20 -> 27 [size =\"31627264\"]\n  20 -> 29 [size =\"31627264\"]\n  21 [size=\"65177600\", alpha=\"0.09\", expect_size=\"19553280\"] \n  21 -> 23 [size =\"19553280\"]\n  21 -> 24 [size =\"19553280\"]\n  22 [size=\"122774187\", alpha=\"0.18\", expect_size=\"36832256\"] \n  22 -> 30 [size =\"36832256\"]\n  22 -> 36 [size =\"36832256\"]\n  23 [size=\"144117760\", alpha=\"0.15\", expect_size=\"43235328\"] \n  23 -> 30 [size =\"43235328\"]\n  23 -> 34 [size =\"43235328\"]\n  24 [size=\"92596907\", alpha=\"0.13\", expect_size=\"27779072\"] \n  25 [size=\"138437973\", alpha=\"0.07\", expect_size=\"41531392\"] \n  25 -> 36 [size =\"41531392\"]\n  25 -> 37 [size =\"41531392\"]\n  25 -> 38 [size =\"41531392\"]\n  26 [size=\"60521813\", alpha=\"0.16\", expect_size=\"18156544\"] \n  26 -> 31 [size =\"18156544\"]\n  26 -> 37 [size =\"18156544\"]\n  27 [size=\"114554880\", alpha=\"0.13\", expect_size=\"34366464\"] \n  27 -> 30 [size =\"34366464\"]\n  27 -> 32 [size =\"34366464\"]\n  27 -> 37 [size =\"34366464\"]\n  28 [size=\"82633387\", alpha=\"0.04\", expect_size=\"24790016\"] \n  28 -> 34 [size =\"24790016\"]\n  28 -> 35 [size =\"24790016\"]\n  28 -> 38 [size =\"24790016\"]\n  29 [size=\"138441387\", alpha=\"0.03\", expect_size=\"41532416\"] \n  29 -> 33 [size =\"41532416\"]\n  29 -> 38 [size =\"41532416\"]\n  30 [size=\"29658453\", alpha=\"0.17\", expect_size=\"8897536\"] \n  30 -> 39 [size =\"8897536\"]\n  30 -> 44 [size =\"8897536\"]\n  30 -> 46 [size =\"8897536\"]\n  31 [size=\"78131200\", alpha=\"0.03\", expect_size=\"23439360\"] \n  31 -> 39 [size =\"23439360\"]\n  31 -> 41 [size =\"23439360\"]\n  31 -> 42 [size =\"23439360\"]\n  31 -> 44 [size =\"23439360\"]\n  32 [size=\"145179307\", alpha=\"0.01\", expect_size=\"43553792\"] \n  32 -> 39 [size =\"43553792\"]\n  32 -> 41 [size =\"43553792\"]\n  32 -> 44 [size =\"43553792\"]\n  32 -> 46 [size =\"43553792\"]\n  33 [size=\"125627733\", alpha=\"0.03\", expect_size=\"37688320\"] \n  33 -> 39 [size =\"37688320\"]\n  33 -> 40 [size =\"37688320\"]\n  33 -> 41 [size =\"37688320\"]\n  33 -> 48 [size =\"37688320\"]\n  34 [size=\"87493973\", alpha=\"0.04\", expect_size=\"26248192\"] \n  34 -> 40 [size =\"26248192\"]\n  34 -> 40 [size =\"26248192\"]\n  34 -> 44 [size =\"26248192\"]\n  34 -> 46 [size =\"26248192\"]\n  34 -> 50 [size =\"26248192\"]\n  35 [size=\"32727040\", alpha=\"0.15\", expect_size=\"9818112\"] \n  35 -> 40 [size =\"9818112\"]\n  35 -> 41 [size =\"9818112\"]\n  35 -> 45 [size =\"9818112\"]\n  36 [size=\"89941333\", alpha=\"0.12\", expect_size=\"26982400\"] \n  36 -> 43 [size =\"26982400\"]\n  36 -> 45 [size =\"26982400\"]\n  36 -> 48 [size =\"26982400\"]\n  37 [size=\"57490773\", alpha=\"0.11\", expect_size=\"17247232\"] \n  37 -> 39 [size =\"17247232\"]\n  37 -> 40 [size =\"17247232\"]\n  37 -> 47 [size =\"17247232\"]\n  37 -> 48 [size =\"17247232\"]\n  37 -> 49 [size =\"17247232\"]\n  38 [size=\"160709973\", alpha=\"0.20\", expect_size=\"48212992\"] \n  38 -> 41 [size =\"48212992\"]\n  38 -> 43 [size =\"48212992\"]\n  38 -> 48 [size =\"48212992\"]\n  38 -> 49 [size =\"48212992\"]\n  38 -> 50 [size =\"48212992\"]\n  39 [size=\"32293547\", alpha=\"0.08\", expect_size=\"9688064\"] \n  40 [size=\"54893227\", alpha=\"0.07\", expect_size=\"16467968\"] \n  41 [size=\"27917653\", alpha=\"0.13\", expect_size=\"8375296\"] \n  42 [size=\"52865707\", alpha=\"0.12\", expect_size=\"15859712\"] \n  43 [size=\"58333867\", alpha=\"0.06\", expect_size=\"17500160\"] \n  44 [size=\"81691307\", alpha=\"0.11\", expect_size=\"24507392\"] \n  45 [size=\"112605867\", alpha=\"0.11\", expect_size=\"33781760\"] \n  46 [size=\"72826880\", alpha=\"0.16\", expect_size=\"21848064\"] \n  47 [size=\"169547093\", alpha=\"0.14\", expect_size=\"50864128\"] \n  48 [size=\"95266133\", alpha=\"0.20\", expect_size=\"28579840\"] \n  49 [size=\"94320640\", alpha=\"0.01\", expect_size=\"28296192\"] \n  50 [size=\"157508267\", alpha=\"0.04\", expect_size=\"47252480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.437.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65953280\", alpha=\"0.04\", expect_size=\"26381312\"] \n  1 -> 7 [size =\"26381312\"]\n  1 -> 9 [size =\"26381312\"]\n  2 [size=\"44096000\", alpha=\"0.06\", expect_size=\"17638400\"] \n  2 -> 11 [size =\"17638400\"]\n  3 [size=\"72453120\", alpha=\"0.19\", expect_size=\"28981248\"] \n  3 -> 9 [size =\"28981248\"]\n  3 -> 11 [size =\"28981248\"]\n  4 [size=\"113937920\", alpha=\"0.13\", expect_size=\"45575168\"] \n  4 -> 7 [size =\"45575168\"]\n  4 -> 9 [size =\"45575168\"]\n  4 -> 10 [size =\"45575168\"]\n  4 -> 11 [size =\"45575168\"]\n  4 -> 12 [size =\"45575168\"]\n  5 [size=\"57057280\", alpha=\"0.03\", expect_size=\"22822912\"] \n  5 -> 7 [size =\"22822912\"]\n  5 -> 8 [size =\"22822912\"]\n  5 -> 9 [size =\"22822912\"]\n  5 -> 10 [size =\"22822912\"]\n  6 [size=\"94064640\", alpha=\"0.20\", expect_size=\"37625856\"] \n  6 -> 7 [size =\"37625856\"]\n  6 -> 9 [size =\"37625856\"]\n  6 -> 11 [size =\"37625856\"]\n  7 [size=\"83589120\", alpha=\"0.02\", expect_size=\"33435648\"] \n  7 -> 13 [size =\"33435648\"]\n  7 -> 14 [size =\"33435648\"]\n  7 -> 15 [size =\"33435648\"]\n  7 -> 16 [size =\"33435648\"]\n  7 -> 17 [size =\"33435648\"]\n  8 [size=\"22072320\", alpha=\"0.11\", expect_size=\"8828928\"] \n  8 -> 15 [size =\"8828928\"]\n  8 -> 16 [size =\"8828928\"]\n  8 -> 17 [size =\"8828928\"]\n  9 [size=\"36313600\", alpha=\"0.16\", expect_size=\"14525440\"] \n  9 -> 13 [size =\"14525440\"]\n  9 -> 14 [size =\"14525440\"]\n  9 -> 15 [size =\"14525440\"]\n  9 -> 16 [size =\"14525440\"]\n  10 [size=\"129748480\", alpha=\"0.13\", expect_size=\"51899392\"] \n  10 -> 13 [size =\"51899392\"]\n  10 -> 16 [size =\"51899392\"]\n  10 -> 17 [size =\"51899392\"]\n  11 [size=\"129154560\", alpha=\"0.12\", expect_size=\"51661824\"] \n  11 -> 13 [size =\"51661824\"]\n  11 -> 17 [size =\"51661824\"]\n  11 -> 17 [size =\"51661824\"]\n  11 -> 18 [size =\"51661824\"]\n  12 [size=\"36633600\", alpha=\"0.09\", expect_size=\"14653440\"] \n  12 -> 14 [size =\"14653440\"]\n  12 -> 15 [size =\"14653440\"]\n  12 -> 16 [size =\"14653440\"]\n  12 -> 17 [size =\"14653440\"]\n  13 [size=\"72816640\", alpha=\"0.10\", expect_size=\"29126656\"] \n  13 -> 19 [size =\"29126656\"]\n  13 -> 20 [size =\"29126656\"]\n  13 -> 21 [size =\"29126656\"]\n  13 -> 23 [size =\"29126656\"]\n  13 -> 24 [size =\"29126656\"]\n  14 [size=\"65697280\", alpha=\"0.13\", expect_size=\"26278912\"] \n  14 -> 19 [size =\"26278912\"]\n  14 -> 20 [size =\"26278912\"]\n  14 -> 21 [size =\"26278912\"]\n  14 -> 22 [size =\"26278912\"]\n  14 -> 24 [size =\"26278912\"]\n  15 [size=\"24248320\", alpha=\"0.02\", expect_size=\"9699328\"] \n  15 -> 19 [size =\"9699328\"]\n  15 -> 20 [size =\"9699328\"]\n  15 -> 21 [size =\"9699328\"]\n  15 -> 22 [size =\"9699328\"]\n  15 -> 24 [size =\"9699328\"]\n  16 [size=\"41474560\", alpha=\"0.10\", expect_size=\"16589824\"] \n  16 -> 19 [size =\"16589824\"]\n  16 -> 21 [size =\"16589824\"]\n  16 -> 22 [size =\"16589824\"]\n  17 [size=\"39477760\", alpha=\"0.10\", expect_size=\"15791104\"] \n  17 -> 19 [size =\"15791104\"]\n  17 -> 20 [size =\"15791104\"]\n  17 -> 24 [size =\"15791104\"]\n  18 [size=\"50424320\", alpha=\"0.14\", expect_size=\"20169728\"] \n  18 -> 19 [size =\"20169728\"]\n  18 -> 23 [size =\"20169728\"]\n  18 -> 24 [size =\"20169728\"]\n  19 [size=\"114580480\", alpha=\"0.01\", expect_size=\"45832192\"] \n  19 -> 27 [size =\"45832192\"]\n  19 -> 28 [size =\"45832192\"]\n  19 -> 29 [size =\"45832192\"]\n  19 -> 30 [size =\"45832192\"]\n  19 -> 31 [size =\"45832192\"]\n  20 [size=\"92892160\", alpha=\"0.10\", expect_size=\"37156864\"] \n  20 -> 26 [size =\"37156864\"]\n  20 -> 27 [size =\"37156864\"]\n  20 -> 28 [size =\"37156864\"]\n  20 -> 30 [size =\"37156864\"]\n  20 -> 31 [size =\"37156864\"]\n  21 [size=\"53611520\", alpha=\"0.08\", expect_size=\"21444608\"] \n  21 -> 25 [size =\"21444608\"]\n  21 -> 27 [size =\"21444608\"]\n  21 -> 28 [size =\"21444608\"]\n  21 -> 29 [size =\"21444608\"]\n  21 -> 30 [size =\"21444608\"]\n  21 -> 31 [size =\"21444608\"]\n  22 [size=\"126044160\", alpha=\"0.11\", expect_size=\"50417664\"] \n  22 -> 28 [size =\"50417664\"]\n  22 -> 29 [size =\"50417664\"]\n  22 -> 30 [size =\"50417664\"]\n  22 -> 31 [size =\"50417664\"]\n  23 [size=\"62717440\", alpha=\"0.04\", expect_size=\"25086976\"] \n  23 -> 25 [size =\"25086976\"]\n  23 -> 28 [size =\"25086976\"]\n  23 -> 30 [size =\"25086976\"]\n  24 [size=\"123240960\", alpha=\"0.14\", expect_size=\"49296384\"] \n  24 -> 27 [size =\"49296384\"]\n  24 -> 28 [size =\"49296384\"]\n  24 -> 29 [size =\"49296384\"]\n  24 -> 30 [size =\"49296384\"]\n  25 [size=\"79193600\", alpha=\"0.11\", expect_size=\"31677440\"] \n  25 -> 35 [size =\"31677440\"]\n  26 [size=\"89863680\", alpha=\"0.02\", expect_size=\"35945472\"] \n  27 [size=\"33551360\", alpha=\"0.05\", expect_size=\"13420544\"] \n  27 -> 32 [size =\"13420544\"]\n  27 -> 33 [size =\"13420544\"]\n  27 -> 36 [size =\"13420544\"]\n  28 [size=\"91852800\", alpha=\"0.10\", expect_size=\"36741120\"] \n  28 -> 37 [size =\"36741120\"]\n  29 [size=\"57236480\", alpha=\"0.19\", expect_size=\"22894592\"] \n  29 -> 35 [size =\"22894592\"]\n  29 -> 36 [size =\"22894592\"]\n  30 [size=\"66050560\", alpha=\"0.07\", expect_size=\"26420224\"] \n  30 -> 34 [size =\"26420224\"]\n  30 -> 36 [size =\"26420224\"]\n  31 [size=\"125952000\", alpha=\"0.15\", expect_size=\"50380800\"] \n  31 -> 32 [size =\"50380800\"]\n  31 -> 33 [size =\"50380800\"]\n  31 -> 36 [size =\"50380800\"]\n  32 [size=\"53857280\", alpha=\"0.07\", expect_size=\"21542912\"] \n  32 -> 38 [size =\"21542912\"]\n  32 -> 39 [size =\"21542912\"]\n  32 -> 40 [size =\"21542912\"]\n  32 -> 41 [size =\"21542912\"]\n  32 -> 42 [size =\"21542912\"]\n  32 -> 43 [size =\"21542912\"]\n  32 -> 44 [size =\"21542912\"]\n  33 [size=\"116689920\", alpha=\"0.09\", expect_size=\"46675968\"] \n  33 -> 38 [size =\"46675968\"]\n  33 -> 42 [size =\"46675968\"]\n  34 [size=\"19898880\", alpha=\"0.01\", expect_size=\"7959552\"] \n  34 -> 38 [size =\"7959552\"]\n  34 -> 39 [size =\"7959552\"]\n  34 -> 43 [size =\"7959552\"]\n  34 -> 44 [size =\"7959552\"]\n  35 [size=\"100244480\", alpha=\"0.14\", expect_size=\"40097792\"] \n  35 -> 38 [size =\"40097792\"]\n  36 [size=\"47784960\", alpha=\"0.11\", expect_size=\"19113984\"] \n  36 -> 38 [size =\"19113984\"]\n  36 -> 40 [size =\"19113984\"]\n  36 -> 42 [size =\"19113984\"]\n  36 -> 44 [size =\"19113984\"]\n  37 [size=\"61445120\", alpha=\"0.14\", expect_size=\"24578048\"] \n  37 -> 38 [size =\"24578048\"]\n  37 -> 41 [size =\"24578048\"]\n  37 -> 44 [size =\"24578048\"]\n  38 [size=\"93742080\", alpha=\"0.02\", expect_size=\"37496832\"] \n  38 -> 45 [size =\"37496832\"]\n  38 -> 47 [size =\"37496832\"]\n  38 -> 48 [size =\"37496832\"]\n  38 -> 49 [size =\"37496832\"]\n  38 -> 50 [size =\"37496832\"]\n  39 [size=\"35676160\", alpha=\"0.08\", expect_size=\"14270464\"] \n  39 -> 49 [size =\"14270464\"]\n  39 -> 50 [size =\"14270464\"]\n  40 [size=\"28421120\", alpha=\"0.07\", expect_size=\"11368448\"] \n  40 -> 50 [size =\"11368448\"]\n  41 [size=\"70656000\", alpha=\"0.13\", expect_size=\"28262400\"] \n  41 -> 47 [size =\"28262400\"]\n  41 -> 48 [size =\"28262400\"]\n  41 -> 49 [size =\"28262400\"]\n  41 -> 50 [size =\"28262400\"]\n  42 [size=\"42496000\", alpha=\"0.19\", expect_size=\"16998400\"] \n  42 -> 49 [size =\"16998400\"]\n  42 -> 50 [size =\"16998400\"]\n  43 [size=\"85437440\", alpha=\"0.13\", expect_size=\"34174976\"] \n  43 -> 45 [size =\"34174976\"]\n  43 -> 48 [size =\"34174976\"]\n  43 -> 49 [size =\"34174976\"]\n  44 [size=\"23255040\", alpha=\"0.05\", expect_size=\"9302016\"] \n  44 -> 46 [size =\"9302016\"]\n  44 -> 49 [size =\"9302016\"]\n  44 -> 50 [size =\"9302016\"]\n  45 [size=\"26511360\", alpha=\"0.09\", expect_size=\"10604544\"] \n  46 [size=\"106342400\", alpha=\"0.05\", expect_size=\"42536960\"] \n  47 [size=\"55191040\", alpha=\"0.05\", expect_size=\"22076416\"] \n  48 [size=\"17395200\", alpha=\"0.19\", expect_size=\"6958080\"] \n  49 [size=\"30266880\", alpha=\"0.20\", expect_size=\"12106752\"] \n  50 [size=\"77319680\", alpha=\"0.10\", expect_size=\"30927872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.438.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25992533\", alpha=\"0.15\", expect_size=\"7797760\"] \n  1 -> 7 [size =\"7797760\"]\n  1 -> 12 [size =\"7797760\"]\n  2 [size=\"108861440\", alpha=\"0.18\", expect_size=\"32658432\"] \n  2 -> 10 [size =\"32658432\"]\n  2 -> 12 [size =\"32658432\"]\n  3 [size=\"92979200\", alpha=\"0.16\", expect_size=\"27893760\"] \n  3 -> 7 [size =\"27893760\"]\n  4 [size=\"155272533\", alpha=\"0.19\", expect_size=\"46581760\"] \n  4 -> 7 [size =\"46581760\"]\n  4 -> 9 [size =\"46581760\"]\n  4 -> 10 [size =\"46581760\"]\n  4 -> 11 [size =\"46581760\"]\n  5 [size=\"97532587\", alpha=\"0.01\", expect_size=\"29259776\"] \n  5 -> 8 [size =\"29259776\"]\n  5 -> 9 [size =\"29259776\"]\n  5 -> 11 [size =\"29259776\"]\n  5 -> 11 [size =\"29259776\"]\n  6 [size=\"162000213\", alpha=\"0.09\", expect_size=\"48600064\"] \n  6 -> 9 [size =\"48600064\"]\n  6 -> 13 [size =\"48600064\"]\n  7 [size=\"18367147\", alpha=\"0.15\", expect_size=\"5510144\"] \n  7 -> 14 [size =\"5510144\"]\n  7 -> 16 [size =\"5510144\"]\n  7 -> 18 [size =\"5510144\"]\n  7 -> 20 [size =\"5510144\"]\n  8 [size=\"126040747\", alpha=\"0.18\", expect_size=\"37812224\"] \n  8 -> 14 [size =\"37812224\"]\n  9 [size=\"117275307\", alpha=\"0.07\", expect_size=\"35182592\"] \n  9 -> 14 [size =\"35182592\"]\n  9 -> 15 [size =\"35182592\"]\n  9 -> 16 [size =\"35182592\"]\n  9 -> 17 [size =\"35182592\"]\n  9 -> 19 [size =\"35182592\"]\n  10 [size=\"63303680\", alpha=\"0.08\", expect_size=\"18991104\"] \n  10 -> 14 [size =\"18991104\"]\n  10 -> 17 [size =\"18991104\"]\n  11 [size=\"76028587\", alpha=\"0.10\", expect_size=\"22808576\"] \n  11 -> 16 [size =\"22808576\"]\n  12 [size=\"33477973\", alpha=\"0.13\", expect_size=\"10043392\"] \n  12 -> 19 [size =\"10043392\"]\n  12 -> 20 [size =\"10043392\"]\n  13 [size=\"18350080\", alpha=\"0.12\", expect_size=\"5505024\"] \n  13 -> 17 [size =\"5505024\"]\n  13 -> 20 [size =\"5505024\"]\n  14 [size=\"143360000\", alpha=\"0.02\", expect_size=\"43008000\"] \n  15 [size=\"137420800\", alpha=\"0.03\", expect_size=\"41226240\"] \n  15 -> 26 [size =\"41226240\"]\n  16 [size=\"143568213\", alpha=\"0.10\", expect_size=\"43070464\"] \n  16 -> 26 [size =\"43070464\"]\n  17 [size=\"53302613\", alpha=\"0.17\", expect_size=\"15990784\"] \n  17 -> 21 [size =\"15990784\"]\n  17 -> 22 [size =\"15990784\"]\n  17 -> 25 [size =\"15990784\"]\n  18 [size=\"172608853\", alpha=\"0.16\", expect_size=\"51782656\"] \n  18 -> 22 [size =\"51782656\"]\n  18 -> 22 [size =\"51782656\"]\n  18 -> 24 [size =\"51782656\"]\n  18 -> 25 [size =\"51782656\"]\n  19 [size=\"160307200\", alpha=\"0.09\", expect_size=\"48092160\"] \n  19 -> 22 [size =\"48092160\"]\n  19 -> 23 [size =\"48092160\"]\n  19 -> 25 [size =\"48092160\"]\n  19 -> 26 [size =\"48092160\"]\n  20 [size=\"54729387\", alpha=\"0.03\", expect_size=\"16418816\"] \n  20 -> 23 [size =\"16418816\"]\n  20 -> 26 [size =\"16418816\"]\n  21 [size=\"116869120\", alpha=\"0.18\", expect_size=\"35060736\"] \n  21 -> 27 [size =\"35060736\"]\n  21 -> 32 [size =\"35060736\"]\n  22 [size=\"38782293\", alpha=\"0.04\", expect_size=\"11634688\"] \n  22 -> 30 [size =\"11634688\"]\n  22 -> 31 [size =\"11634688\"]\n  23 [size=\"140380160\", alpha=\"0.20\", expect_size=\"42114048\"] \n  23 -> 31 [size =\"42114048\"]\n  23 -> 32 [size =\"42114048\"]\n  23 -> 33 [size =\"42114048\"]\n  24 [size=\"78107307\", alpha=\"0.13\", expect_size=\"23432192\"] \n  24 -> 27 [size =\"23432192\"]\n  24 -> 32 [size =\"23432192\"]\n  24 -> 33 [size =\"23432192\"]\n  25 [size=\"92443307\", alpha=\"0.17\", expect_size=\"27732992\"] \n  25 -> 27 [size =\"27732992\"]\n  25 -> 28 [size =\"27732992\"]\n  25 -> 31 [size =\"27732992\"]\n  25 -> 33 [size =\"27732992\"]\n  26 [size=\"115790507\", alpha=\"0.19\", expect_size=\"34737152\"] \n  26 -> 27 [size =\"34737152\"]\n  26 -> 29 [size =\"34737152\"]\n  27 [size=\"40652800\", alpha=\"0.01\", expect_size=\"12195840\"] \n  27 -> 34 [size =\"12195840\"]\n  28 [size=\"19357013\", alpha=\"0.17\", expect_size=\"5807104\"] \n  28 -> 34 [size =\"5807104\"]\n  29 [size=\"142885547\", alpha=\"0.05\", expect_size=\"42865664\"] \n  29 -> 34 [size =\"42865664\"]\n  29 -> 35 [size =\"42865664\"]\n  29 -> 36 [size =\"42865664\"]\n  30 [size=\"58521600\", alpha=\"0.20\", expect_size=\"17556480\"] \n  30 -> 34 [size =\"17556480\"]\n  30 -> 36 [size =\"17556480\"]\n  30 -> 38 [size =\"17556480\"]\n  31 [size=\"81189547\", alpha=\"0.02\", expect_size=\"24356864\"] \n  31 -> 36 [size =\"24356864\"]\n  31 -> 37 [size =\"24356864\"]\n  31 -> 38 [size =\"24356864\"]\n  31 -> 39 [size =\"24356864\"]\n  32 [size=\"62129493\", alpha=\"0.06\", expect_size=\"18638848\"] \n  32 -> 38 [size =\"18638848\"]\n  33 [size=\"92726613\", alpha=\"0.10\", expect_size=\"27817984\"] \n  33 -> 38 [size =\"27817984\"]\n  34 [size=\"91197440\", alpha=\"0.10\", expect_size=\"27359232\"] \n  34 -> 42 [size =\"27359232\"]\n  34 -> 43 [size =\"27359232\"]\n  34 -> 45 [size =\"27359232\"]\n  35 [size=\"38048427\", alpha=\"0.05\", expect_size=\"11414528\"] \n  35 -> 40 [size =\"11414528\"]\n  35 -> 43 [size =\"11414528\"]\n  36 [size=\"170632533\", alpha=\"0.16\", expect_size=\"51189760\"] \n  36 -> 42 [size =\"51189760\"]\n  37 [size=\"161611093\", alpha=\"0.12\", expect_size=\"48483328\"] \n  37 -> 40 [size =\"48483328\"]\n  37 -> 41 [size =\"48483328\"]\n  37 -> 42 [size =\"48483328\"]\n  37 -> 44 [size =\"48483328\"]\n  37 -> 45 [size =\"48483328\"]\n  38 [size=\"169161387\", alpha=\"0.08\", expect_size=\"50748416\"] \n  38 -> 40 [size =\"50748416\"]\n  38 -> 41 [size =\"50748416\"]\n  38 -> 43 [size =\"50748416\"]\n  38 -> 45 [size =\"50748416\"]\n  39 [size=\"144568320\", alpha=\"0.02\", expect_size=\"43370496\"] \n  39 -> 43 [size =\"43370496\"]\n  39 -> 45 [size =\"43370496\"]\n  40 [size=\"30344533\", alpha=\"0.00\", expect_size=\"9103360\"] \n  40 -> 47 [size =\"9103360\"]\n  40 -> 50 [size =\"9103360\"]\n  41 [size=\"29600427\", alpha=\"0.11\", expect_size=\"8880128\"] \n  41 -> 46 [size =\"8880128\"]\n  41 -> 49 [size =\"8880128\"]\n  42 [size=\"43608747\", alpha=\"0.05\", expect_size=\"13082624\"] \n  42 -> 49 [size =\"13082624\"]\n  43 [size=\"88367787\", alpha=\"0.15\", expect_size=\"26510336\"] \n  43 -> 47 [size =\"26510336\"]\n  43 -> 48 [size =\"26510336\"]\n  43 -> 49 [size =\"26510336\"]\n  44 [size=\"164761600\", alpha=\"0.12\", expect_size=\"49428480\"] \n  44 -> 47 [size =\"49428480\"]\n  45 [size=\"84094293\", alpha=\"0.18\", expect_size=\"25228288\"] \n  45 -> 46 [size =\"25228288\"]\n  45 -> 47 [size =\"25228288\"]\n  45 -> 49 [size =\"25228288\"]\n  45 -> 50 [size =\"25228288\"]\n  46 [size=\"123600213\", alpha=\"0.18\", expect_size=\"37080064\"] \n  47 [size=\"94801920\", alpha=\"0.20\", expect_size=\"28440576\"] \n  48 [size=\"33525760\", alpha=\"0.02\", expect_size=\"10057728\"] \n  49 [size=\"94904320\", alpha=\"0.01\", expect_size=\"28471296\"] \n  50 [size=\"107195733\", alpha=\"0.04\", expect_size=\"32158720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.439.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21193387\", alpha=\"0.16\", expect_size=\"6358016\"] \n  1 -> 24 [size =\"6358016\"]\n  1 -> 28 [size =\"6358016\"]\n  2 [size=\"122798080\", alpha=\"0.06\", expect_size=\"36839424\"] \n  2 -> 24 [size =\"36839424\"]\n  3 [size=\"134973440\", alpha=\"0.19\", expect_size=\"40492032\"] \n  3 -> 19 [size =\"40492032\"]\n  3 -> 22 [size =\"40492032\"]\n  3 -> 27 [size =\"40492032\"]\n  3 -> 28 [size =\"40492032\"]\n  3 -> 29 [size =\"40492032\"]\n  4 [size=\"18428587\", alpha=\"0.18\", expect_size=\"5528576\"] \n  4 -> 25 [size =\"5528576\"]\n  4 -> 26 [size =\"5528576\"]\n  4 -> 29 [size =\"5528576\"]\n  5 [size=\"42147840\", alpha=\"0.08\", expect_size=\"12644352\"] \n  5 -> 26 [size =\"12644352\"]\n  5 -> 28 [size =\"12644352\"]\n  6 [size=\"62324053\", alpha=\"0.03\", expect_size=\"18697216\"] \n  6 -> 27 [size =\"18697216\"]\n  6 -> 28 [size =\"18697216\"]\n  7 [size=\"87377920\", alpha=\"0.07\", expect_size=\"26213376\"] \n  7 -> 25 [size =\"26213376\"]\n  8 [size=\"156699307\", alpha=\"0.15\", expect_size=\"47009792\"] \n  8 -> 20 [size =\"47009792\"]\n  8 -> 21 [size =\"47009792\"]\n  8 -> 27 [size =\"47009792\"]\n  8 -> 28 [size =\"47009792\"]\n  9 [size=\"166120107\", alpha=\"0.13\", expect_size=\"49836032\"] \n  9 -> 21 [size =\"49836032\"]\n  9 -> 21 [size =\"49836032\"]\n  9 -> 24 [size =\"49836032\"]\n  9 -> 30 [size =\"49836032\"]\n  10 [size=\"147452587\", alpha=\"0.10\", expect_size=\"44235776\"] \n  10 -> 22 [size =\"44235776\"]\n  10 -> 24 [size =\"44235776\"]\n  10 -> 30 [size =\"44235776\"]\n  11 [size=\"155139413\", alpha=\"0.19\", expect_size=\"46541824\"] \n  11 -> 25 [size =\"46541824\"]\n  11 -> 29 [size =\"46541824\"]\n  12 [size=\"122187093\", alpha=\"0.13\", expect_size=\"36656128\"] \n  12 -> 19 [size =\"36656128\"]\n  12 -> 20 [size =\"36656128\"]\n  12 -> 22 [size =\"36656128\"]\n  12 -> 23 [size =\"36656128\"]\n  13 [size=\"166307840\", alpha=\"0.11\", expect_size=\"49892352\"] \n  13 -> 27 [size =\"49892352\"]\n  14 [size=\"158177280\", alpha=\"0.00\", expect_size=\"47453184\"] \n  14 -> 28 [size =\"47453184\"]\n  15 [size=\"139526827\", alpha=\"0.18\", expect_size=\"41858048\"] \n  15 -> 24 [size =\"41858048\"]\n  15 -> 28 [size =\"41858048\"]\n  15 -> 30 [size =\"41858048\"]\n  16 [size=\"41748480\", alpha=\"0.11\", expect_size=\"12524544\"] \n  16 -> 28 [size =\"12524544\"]\n  16 -> 28 [size =\"12524544\"]\n  17 [size=\"68720640\", alpha=\"0.04\", expect_size=\"20616192\"] \n  17 -> 24 [size =\"20616192\"]\n  17 -> 25 [size =\"20616192\"]\n  17 -> 27 [size =\"20616192\"]\n  18 [size=\"122152960\", alpha=\"0.13\", expect_size=\"36645888\"] \n  18 -> 24 [size =\"36645888\"]\n  18 -> 27 [size =\"36645888\"]\n  18 -> 29 [size =\"36645888\"]\n  18 -> 30 [size =\"36645888\"]\n  19 [size=\"81394347\", alpha=\"0.09\", expect_size=\"24418304\"] \n  19 -> 36 [size =\"24418304\"]\n  19 -> 43 [size =\"24418304\"]\n  20 [size=\"28119040\", alpha=\"0.11\", expect_size=\"8435712\"] \n  20 -> 41 [size =\"8435712\"]\n  20 -> 43 [size =\"8435712\"]\n  20 -> 44 [size =\"8435712\"]\n  20 -> 48 [size =\"8435712\"]\n  21 [size=\"110660267\", alpha=\"0.13\", expect_size=\"33198080\"] \n  21 -> 37 [size =\"33198080\"]\n  21 -> 39 [size =\"33198080\"]\n  21 -> 42 [size =\"33198080\"]\n  21 -> 44 [size =\"33198080\"]\n  21 -> 48 [size =\"33198080\"]\n  22 [size=\"105844053\", alpha=\"0.08\", expect_size=\"31753216\"] \n  22 -> 39 [size =\"31753216\"]\n  22 -> 44 [size =\"31753216\"]\n  23 [size=\"48428373\", alpha=\"0.19\", expect_size=\"14528512\"] \n  23 -> 37 [size =\"14528512\"]\n  23 -> 39 [size =\"14528512\"]\n  23 -> 42 [size =\"14528512\"]\n  23 -> 47 [size =\"14528512\"]\n  23 -> 48 [size =\"14528512\"]\n  24 [size=\"133362347\", alpha=\"0.10\", expect_size=\"40008704\"] \n  24 -> 33 [size =\"40008704\"]\n  24 -> 38 [size =\"40008704\"]\n  24 -> 42 [size =\"40008704\"]\n  24 -> 46 [size =\"40008704\"]\n  24 -> 47 [size =\"40008704\"]\n  24 -> 48 [size =\"40008704\"]\n  25 [size=\"133850453\", alpha=\"0.03\", expect_size=\"40155136\"] \n  25 -> 33 [size =\"40155136\"]\n  25 -> 35 [size =\"40155136\"]\n  25 -> 37 [size =\"40155136\"]\n  25 -> 38 [size =\"40155136\"]\n  25 -> 42 [size =\"40155136\"]\n  25 -> 45 [size =\"40155136\"]\n  25 -> 46 [size =\"40155136\"]\n  26 [size=\"119241387\", alpha=\"0.03\", expect_size=\"35772416\"] \n  26 -> 31 [size =\"35772416\"]\n  26 -> 33 [size =\"35772416\"]\n  26 -> 35 [size =\"35772416\"]\n  26 -> 36 [size =\"35772416\"]\n  26 -> 39 [size =\"35772416\"]\n  26 -> 40 [size =\"35772416\"]\n  26 -> 42 [size =\"35772416\"]\n  26 -> 43 [size =\"35772416\"]\n  26 -> 44 [size =\"35772416\"]\n  26 -> 46 [size =\"35772416\"]\n  26 -> 47 [size =\"35772416\"]\n  27 [size=\"49974613\", alpha=\"0.11\", expect_size=\"14992384\"] \n  27 -> 32 [size =\"14992384\"]\n  27 -> 35 [size =\"14992384\"]\n  27 -> 38 [size =\"14992384\"]\n  27 -> 39 [size =\"14992384\"]\n  27 -> 40 [size =\"14992384\"]\n  27 -> 40 [size =\"14992384\"]\n  27 -> 41 [size =\"14992384\"]\n  27 -> 43 [size =\"14992384\"]\n  27 -> 46 [size =\"14992384\"]\n  27 -> 47 [size =\"14992384\"]\n  27 -> 47 [size =\"14992384\"]\n  28 [size=\"84394667\", alpha=\"0.17\", expect_size=\"25318400\"] \n  28 -> 32 [size =\"25318400\"]\n  28 -> 34 [size =\"25318400\"]\n  28 -> 36 [size =\"25318400\"]\n  28 -> 40 [size =\"25318400\"]\n  28 -> 43 [size =\"25318400\"]\n  28 -> 44 [size =\"25318400\"]\n  29 [size=\"27965440\", alpha=\"0.02\", expect_size=\"8389632\"] \n  29 -> 35 [size =\"8389632\"]\n  29 -> 37 [size =\"8389632\"]\n  29 -> 43 [size =\"8389632\"]\n  29 -> 44 [size =\"8389632\"]\n  29 -> 45 [size =\"8389632\"]\n  29 -> 47 [size =\"8389632\"]\n  30 [size=\"99594240\", alpha=\"0.03\", expect_size=\"29878272\"] \n  30 -> 35 [size =\"29878272\"]\n  30 -> 38 [size =\"29878272\"]\n  30 -> 45 [size =\"29878272\"]\n  31 [size=\"27054080\", alpha=\"0.02\", expect_size=\"8116224\"] \n  31 -> 49 [size =\"8116224\"]\n  31 -> 50 [size =\"8116224\"]\n  32 [size=\"128638293\", alpha=\"0.15\", expect_size=\"38591488\"] \n  32 -> 49 [size =\"38591488\"]\n  33 [size=\"37812907\", alpha=\"0.06\", expect_size=\"11343872\"] \n  33 -> 49 [size =\"11343872\"]\n  33 -> 50 [size =\"11343872\"]\n  34 [size=\"29361493\", alpha=\"0.15\", expect_size=\"8808448\"] \n  34 -> 49 [size =\"8808448\"]\n  35 [size=\"104239787\", alpha=\"0.20\", expect_size=\"31271936\"] \n  36 [size=\"129829547\", alpha=\"0.07\", expect_size=\"38948864\"] \n  37 [size=\"150985387\", alpha=\"0.01\", expect_size=\"45295616\"] \n  37 -> 49 [size =\"45295616\"]\n  38 [size=\"80322560\", alpha=\"0.09\", expect_size=\"24096768\"] \n  39 [size=\"57067520\", alpha=\"0.05\", expect_size=\"17120256\"] \n  40 [size=\"72577707\", alpha=\"0.02\", expect_size=\"21773312\"] \n  40 -> 49 [size =\"21773312\"]\n  40 -> 50 [size =\"21773312\"]\n  41 [size=\"99543040\", alpha=\"0.11\", expect_size=\"29862912\"] \n  41 -> 49 [size =\"29862912\"]\n  42 [size=\"118347093\", alpha=\"0.11\", expect_size=\"35504128\"] \n  42 -> 50 [size =\"35504128\"]\n  43 [size=\"76414293\", alpha=\"0.15\", expect_size=\"22924288\"] \n  43 -> 50 [size =\"22924288\"]\n  44 [size=\"122576213\", alpha=\"0.13\", expect_size=\"36772864\"] \n  45 [size=\"82971307\", alpha=\"0.07\", expect_size=\"24891392\"] \n  45 -> 49 [size =\"24891392\"]\n  46 [size=\"79646720\", alpha=\"0.14\", expect_size=\"23894016\"] \n  47 [size=\"136878080\", alpha=\"0.04\", expect_size=\"41063424\"] \n  48 [size=\"148630187\", alpha=\"0.03\", expect_size=\"44589056\"] \n  48 -> 50 [size =\"44589056\"]\n  49 [size=\"62289920\", alpha=\"0.04\", expect_size=\"18686976\"] \n  50 [size=\"99065173\", alpha=\"0.15\", expect_size=\"29719552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92004352\", alpha=\"0.09\", expect_size=\"46002176\"] \n  1 -> 10 [size =\"46002176\"]\n  2 [size=\"57450496\", alpha=\"0.08\", expect_size=\"28725248\"] \n  2 -> 9 [size =\"28725248\"]\n  3 [size=\"34291712\", alpha=\"0.19\", expect_size=\"17145856\"] \n  3 -> 9 [size =\"17145856\"]\n  3 -> 11 [size =\"17145856\"]\n  4 [size=\"93956096\", alpha=\"0.08\", expect_size=\"46978048\"] \n  4 -> 9 [size =\"46978048\"]\n  4 -> 11 [size =\"46978048\"]\n  5 [size=\"96249856\", alpha=\"0.10\", expect_size=\"48124928\"] \n  5 -> 12 [size =\"48124928\"]\n  6 [size=\"44857344\", alpha=\"0.01\", expect_size=\"22428672\"] \n  6 -> 10 [size =\"22428672\"]\n  6 -> 12 [size =\"22428672\"]\n  7 [size=\"59867136\", alpha=\"0.18\", expect_size=\"29933568\"] \n  7 -> 11 [size =\"29933568\"]\n  7 -> 12 [size =\"29933568\"]\n  7 -> 13 [size =\"29933568\"]\n  8 [size=\"79446016\", alpha=\"0.17\", expect_size=\"39723008\"] \n  8 -> 10 [size =\"39723008\"]\n  8 -> 11 [size =\"39723008\"]\n  8 -> 12 [size =\"39723008\"]\n  9 [size=\"81954816\", alpha=\"0.10\", expect_size=\"40977408\"] \n  9 -> 19 [size =\"40977408\"]\n  10 [size=\"17432576\", alpha=\"0.18\", expect_size=\"8716288\"] \n  10 -> 14 [size =\"8716288\"]\n  10 -> 20 [size =\"8716288\"]\n  11 [size=\"73889792\", alpha=\"0.11\", expect_size=\"36944896\"] \n  11 -> 16 [size =\"36944896\"]\n  11 -> 19 [size =\"36944896\"]\n  11 -> 20 [size =\"36944896\"]\n  12 [size=\"22648832\", alpha=\"0.03\", expect_size=\"11324416\"] \n  12 -> 15 [size =\"11324416\"]\n  12 -> 17 [size =\"11324416\"]\n  12 -> 18 [size =\"11324416\"]\n  12 -> 20 [size =\"11324416\"]\n  13 [size=\"61278208\", alpha=\"0.11\", expect_size=\"30639104\"] \n  13 -> 16 [size =\"30639104\"]\n  14 [size=\"55042048\", alpha=\"0.07\", expect_size=\"27521024\"] \n  14 -> 21 [size =\"27521024\"]\n  15 [size=\"93456384\", alpha=\"0.06\", expect_size=\"46728192\"] \n  15 -> 22 [size =\"46728192\"]\n  15 -> 27 [size =\"46728192\"]\n  16 [size=\"44300288\", alpha=\"0.04\", expect_size=\"22150144\"] \n  16 -> 23 [size =\"22150144\"]\n  17 [size=\"47609856\", alpha=\"0.13\", expect_size=\"23804928\"] \n  17 -> 22 [size =\"23804928\"]\n  17 -> 24 [size =\"23804928\"]\n  17 -> 26 [size =\"23804928\"]\n  18 [size=\"37220352\", alpha=\"0.07\", expect_size=\"18610176\"] \n  18 -> 21 [size =\"18610176\"]\n  18 -> 25 [size =\"18610176\"]\n  18 -> 26 [size =\"18610176\"]\n  19 [size=\"21932032\", alpha=\"0.14\", expect_size=\"10966016\"] \n  19 -> 21 [size =\"10966016\"]\n  19 -> 23 [size =\"10966016\"]\n  19 -> 24 [size =\"10966016\"]\n  19 -> 25 [size =\"10966016\"]\n  19 -> 26 [size =\"10966016\"]\n  20 [size=\"69877760\", alpha=\"0.08\", expect_size=\"34938880\"] \n  21 [size=\"61564928\", alpha=\"0.19\", expect_size=\"30782464\"] \n  21 -> 32 [size =\"30782464\"]\n  22 [size=\"17391616\", alpha=\"0.20\", expect_size=\"8695808\"] \n  22 -> 28 [size =\"8695808\"]\n  22 -> 30 [size =\"8695808\"]\n  22 -> 31 [size =\"8695808\"]\n  23 [size=\"32391168\", alpha=\"0.06\", expect_size=\"16195584\"] \n  23 -> 30 [size =\"16195584\"]\n  23 -> 32 [size =\"16195584\"]\n  24 [size=\"82153472\", alpha=\"0.10\", expect_size=\"41076736\"] \n  25 [size=\"20658176\", alpha=\"0.12\", expect_size=\"10329088\"] \n  25 -> 28 [size =\"10329088\"]\n  26 [size=\"48080896\", alpha=\"0.01\", expect_size=\"24040448\"] \n  26 -> 29 [size =\"24040448\"]\n  26 -> 32 [size =\"24040448\"]\n  27 [size=\"66686976\", alpha=\"0.00\", expect_size=\"33343488\"] \n  27 -> 28 [size =\"33343488\"]\n  27 -> 33 [size =\"33343488\"]\n  28 [size=\"33335296\", alpha=\"0.15\", expect_size=\"16667648\"] \n  28 -> 34 [size =\"16667648\"]\n  28 -> 37 [size =\"16667648\"]\n  28 -> 38 [size =\"16667648\"]\n  29 [size=\"64088064\", alpha=\"0.04\", expect_size=\"32044032\"] \n  29 -> 35 [size =\"32044032\"]\n  29 -> 39 [size =\"32044032\"]\n  30 [size=\"36831232\", alpha=\"0.15\", expect_size=\"18415616\"] \n  30 -> 36 [size =\"18415616\"]\n  30 -> 38 [size =\"18415616\"]\n  31 [size=\"74416128\", alpha=\"0.19\", expect_size=\"37208064\"] \n  31 -> 36 [size =\"37208064\"]\n  31 -> 37 [size =\"37208064\"]\n  31 -> 38 [size =\"37208064\"]\n  32 [size=\"69617664\", alpha=\"0.06\", expect_size=\"34808832\"] \n  32 -> 37 [size =\"34808832\"]\n  33 [size=\"69400576\", alpha=\"0.04\", expect_size=\"34700288\"] \n  34 [size=\"97570816\", alpha=\"0.11\", expect_size=\"48785408\"] \n  34 -> 40 [size =\"48785408\"]\n  34 -> 42 [size =\"48785408\"]\n  34 -> 43 [size =\"48785408\"]\n  35 [size=\"48859136\", alpha=\"0.15\", expect_size=\"24429568\"] \n  35 -> 42 [size =\"24429568\"]\n  35 -> 43 [size =\"24429568\"]\n  36 [size=\"103401472\", alpha=\"0.07\", expect_size=\"51700736\"] \n  36 -> 41 [size =\"51700736\"]\n  36 -> 45 [size =\"51700736\"]\n  37 [size=\"12451840\", alpha=\"0.07\", expect_size=\"6225920\"] \n  37 -> 40 [size =\"6225920\"]\n  38 [size=\"14135296\", alpha=\"0.12\", expect_size=\"7067648\"] \n  38 -> 42 [size =\"7067648\"]\n  38 -> 43 [size =\"7067648\"]\n  38 -> 44 [size =\"7067648\"]\n  38 -> 45 [size =\"7067648\"]\n  39 [size=\"83044352\", alpha=\"0.00\", expect_size=\"41522176\"] \n  39 -> 45 [size =\"41522176\"]\n  40 [size=\"101900288\", alpha=\"0.01\", expect_size=\"50950144\"] \n  40 -> 47 [size =\"50950144\"]\n  40 -> 48 [size =\"50950144\"]\n  40 -> 50 [size =\"50950144\"]\n  41 [size=\"77654016\", alpha=\"0.12\", expect_size=\"38827008\"] \n  42 [size=\"73705472\", alpha=\"0.04\", expect_size=\"36852736\"] \n  42 -> 47 [size =\"36852736\"]\n  42 -> 50 [size =\"36852736\"]\n  43 [size=\"102223872\", alpha=\"0.02\", expect_size=\"51111936\"] \n  43 -> 47 [size =\"51111936\"]\n  43 -> 49 [size =\"51111936\"]\n  43 -> 50 [size =\"51111936\"]\n  44 [size=\"25255936\", alpha=\"0.14\", expect_size=\"12627968\"] \n  44 -> 49 [size =\"12627968\"]\n  45 [size=\"76101632\", alpha=\"0.09\", expect_size=\"38050816\"] \n  45 -> 46 [size =\"38050816\"]\n  46 [size=\"54618112\", alpha=\"0.12\", expect_size=\"27309056\"] \n  47 [size=\"88995840\", alpha=\"0.06\", expect_size=\"44497920\"] \n  48 [size=\"27611136\", alpha=\"0.05\", expect_size=\"13805568\"] \n  49 [size=\"85946368\", alpha=\"0.16\", expect_size=\"42973184\"] \n  50 [size=\"86702080\", alpha=\"0.13\", expect_size=\"43351040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.440.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119004160\", alpha=\"0.00\", expect_size=\"47601664\"] \n  1 -> 9 [size =\"47601664\"]\n  1 -> 10 [size =\"47601664\"]\n  1 -> 11 [size =\"47601664\"]\n  1 -> 13 [size =\"47601664\"]\n  1 -> 14 [size =\"47601664\"]\n  1 -> 23 [size =\"47601664\"]\n  2 [size=\"103513600\", alpha=\"0.19\", expect_size=\"41405440\"] \n  2 -> 10 [size =\"41405440\"]\n  2 -> 12 [size =\"41405440\"]\n  2 -> 14 [size =\"41405440\"]\n  2 -> 16 [size =\"41405440\"]\n  2 -> 17 [size =\"41405440\"]\n  2 -> 21 [size =\"41405440\"]\n  2 -> 23 [size =\"41405440\"]\n  2 -> 24 [size =\"41405440\"]\n  3 [size=\"45365760\", alpha=\"0.15\", expect_size=\"18146304\"] \n  3 -> 9 [size =\"18146304\"]\n  3 -> 10 [size =\"18146304\"]\n  3 -> 11 [size =\"18146304\"]\n  3 -> 17 [size =\"18146304\"]\n  3 -> 20 [size =\"18146304\"]\n  3 -> 23 [size =\"18146304\"]\n  3 -> 24 [size =\"18146304\"]\n  4 [size=\"27015680\", alpha=\"0.16\", expect_size=\"10806272\"] \n  4 -> 12 [size =\"10806272\"]\n  4 -> 17 [size =\"10806272\"]\n  5 [size=\"16552960\", alpha=\"0.15\", expect_size=\"6621184\"] \n  5 -> 11 [size =\"6621184\"]\n  5 -> 17 [size =\"6621184\"]\n  5 -> 22 [size =\"6621184\"]\n  6 [size=\"86108160\", alpha=\"0.16\", expect_size=\"34443264\"] \n  6 -> 11 [size =\"34443264\"]\n  6 -> 15 [size =\"34443264\"]\n  6 -> 16 [size =\"34443264\"]\n  6 -> 18 [size =\"34443264\"]\n  6 -> 21 [size =\"34443264\"]\n  6 -> 22 [size =\"34443264\"]\n  7 [size=\"55692800\", alpha=\"0.16\", expect_size=\"22277120\"] \n  7 -> 9 [size =\"22277120\"]\n  7 -> 10 [size =\"22277120\"]\n  7 -> 11 [size =\"22277120\"]\n  7 -> 16 [size =\"22277120\"]\n  7 -> 17 [size =\"22277120\"]\n  7 -> 18 [size =\"22277120\"]\n  7 -> 20 [size =\"22277120\"]\n  7 -> 23 [size =\"22277120\"]\n  8 [size=\"114045440\", alpha=\"0.13\", expect_size=\"45618176\"] \n  8 -> 10 [size =\"45618176\"]\n  8 -> 11 [size =\"45618176\"]\n  8 -> 15 [size =\"45618176\"]\n  8 -> 18 [size =\"45618176\"]\n  8 -> 19 [size =\"45618176\"]\n  8 -> 23 [size =\"45618176\"]\n  8 -> 24 [size =\"45618176\"]\n  9 [size=\"88960000\", alpha=\"0.18\", expect_size=\"35584000\"] \n  9 -> 26 [size =\"35584000\"]\n  9 -> 30 [size =\"35584000\"]\n  9 -> 31 [size =\"35584000\"]\n  9 -> 42 [size =\"35584000\"]\n  9 -> 45 [size =\"35584000\"]\n  9 -> 46 [size =\"35584000\"]\n  10 [size=\"100654080\", alpha=\"0.18\", expect_size=\"40261632\"] \n  10 -> 25 [size =\"40261632\"]\n  10 -> 26 [size =\"40261632\"]\n  10 -> 42 [size =\"40261632\"]\n  10 -> 42 [size =\"40261632\"]\n  10 -> 46 [size =\"40261632\"]\n  10 -> 46 [size =\"40261632\"]\n  11 [size=\"123100160\", alpha=\"0.15\", expect_size=\"49240064\"] \n  11 -> 28 [size =\"49240064\"]\n  11 -> 29 [size =\"49240064\"]\n  11 -> 36 [size =\"49240064\"]\n  11 -> 41 [size =\"49240064\"]\n  11 -> 43 [size =\"49240064\"]\n  11 -> 45 [size =\"49240064\"]\n  11 -> 46 [size =\"49240064\"]\n  12 [size=\"124748800\", alpha=\"0.01\", expect_size=\"49899520\"] \n  12 -> 26 [size =\"49899520\"]\n  12 -> 27 [size =\"49899520\"]\n  12 -> 32 [size =\"49899520\"]\n  12 -> 38 [size =\"49899520\"]\n  12 -> 39 [size =\"49899520\"]\n  12 -> 44 [size =\"49899520\"]\n  12 -> 46 [size =\"49899520\"]\n  13 [size=\"119045120\", alpha=\"0.16\", expect_size=\"47618048\"] \n  13 -> 25 [size =\"47618048\"]\n  13 -> 29 [size =\"47618048\"]\n  13 -> 31 [size =\"47618048\"]\n  13 -> 32 [size =\"47618048\"]\n  13 -> 35 [size =\"47618048\"]\n  13 -> 37 [size =\"47618048\"]\n  13 -> 44 [size =\"47618048\"]\n  13 -> 46 [size =\"47618048\"]\n  14 [size=\"89937920\", alpha=\"0.05\", expect_size=\"35975168\"] \n  14 -> 25 [size =\"35975168\"]\n  14 -> 26 [size =\"35975168\"]\n  14 -> 31 [size =\"35975168\"]\n  14 -> 34 [size =\"35975168\"]\n  14 -> 37 [size =\"35975168\"]\n  14 -> 38 [size =\"35975168\"]\n  14 -> 41 [size =\"35975168\"]\n  14 -> 42 [size =\"35975168\"]\n  14 -> 44 [size =\"35975168\"]\n  14 -> 46 [size =\"35975168\"]\n  15 [size=\"66792960\", alpha=\"0.04\", expect_size=\"26717184\"] \n  15 -> 25 [size =\"26717184\"]\n  15 -> 28 [size =\"26717184\"]\n  15 -> 31 [size =\"26717184\"]\n  15 -> 32 [size =\"26717184\"]\n  15 -> 34 [size =\"26717184\"]\n  15 -> 36 [size =\"26717184\"]\n  15 -> 41 [size =\"26717184\"]\n  16 [size=\"39546880\", alpha=\"0.10\", expect_size=\"15818752\"] \n  16 -> 26 [size =\"15818752\"]\n  16 -> 29 [size =\"15818752\"]\n  16 -> 32 [size =\"15818752\"]\n  16 -> 34 [size =\"15818752\"]\n  16 -> 36 [size =\"15818752\"]\n  16 -> 40 [size =\"15818752\"]\n  16 -> 45 [size =\"15818752\"]\n  16 -> 46 [size =\"15818752\"]\n  17 [size=\"14274560\", alpha=\"0.09\", expect_size=\"5709824\"] \n  17 -> 25 [size =\"5709824\"]\n  17 -> 26 [size =\"5709824\"]\n  17 -> 33 [size =\"5709824\"]\n  17 -> 36 [size =\"5709824\"]\n  17 -> 36 [size =\"5709824\"]\n  17 -> 40 [size =\"5709824\"]\n  17 -> 42 [size =\"5709824\"]\n  18 [size=\"109442560\", alpha=\"0.16\", expect_size=\"43777024\"] \n  18 -> 25 [size =\"43777024\"]\n  18 -> 26 [size =\"43777024\"]\n  18 -> 27 [size =\"43777024\"]\n  18 -> 30 [size =\"43777024\"]\n  18 -> 33 [size =\"43777024\"]\n  18 -> 39 [size =\"43777024\"]\n  18 -> 44 [size =\"43777024\"]\n  19 [size=\"67258880\", alpha=\"0.05\", expect_size=\"26903552\"] \n  19 -> 26 [size =\"26903552\"]\n  19 -> 31 [size =\"26903552\"]\n  19 -> 32 [size =\"26903552\"]\n  19 -> 33 [size =\"26903552\"]\n  19 -> 33 [size =\"26903552\"]\n  19 -> 34 [size =\"26903552\"]\n  19 -> 36 [size =\"26903552\"]\n  19 -> 42 [size =\"26903552\"]\n  19 -> 44 [size =\"26903552\"]\n  20 [size=\"56330240\", alpha=\"0.07\", expect_size=\"22532096\"] \n  21 [size=\"42242560\", alpha=\"0.06\", expect_size=\"16897024\"] \n  21 -> 26 [size =\"16897024\"]\n  21 -> 32 [size =\"16897024\"]\n  21 -> 33 [size =\"16897024\"]\n  21 -> 36 [size =\"16897024\"]\n  21 -> 38 [size =\"16897024\"]\n  21 -> 40 [size =\"16897024\"]\n  21 -> 42 [size =\"16897024\"]\n  21 -> 46 [size =\"16897024\"]\n  22 [size=\"15403520\", alpha=\"0.01\", expect_size=\"6161408\"] \n  22 -> 25 [size =\"6161408\"]\n  22 -> 26 [size =\"6161408\"]\n  22 -> 36 [size =\"6161408\"]\n  22 -> 37 [size =\"6161408\"]\n  22 -> 45 [size =\"6161408\"]\n  23 [size=\"22036480\", alpha=\"0.01\", expect_size=\"8814592\"] \n  23 -> 31 [size =\"8814592\"]\n  23 -> 32 [size =\"8814592\"]\n  23 -> 36 [size =\"8814592\"]\n  23 -> 38 [size =\"8814592\"]\n  23 -> 39 [size =\"8814592\"]\n  23 -> 40 [size =\"8814592\"]\n  23 -> 42 [size =\"8814592\"]\n  23 -> 45 [size =\"8814592\"]\n  23 -> 46 [size =\"8814592\"]\n  24 [size=\"115706880\", alpha=\"0.04\", expect_size=\"46282752\"] \n  24 -> 26 [size =\"46282752\"]\n  24 -> 32 [size =\"46282752\"]\n  24 -> 34 [size =\"46282752\"]\n  24 -> 36 [size =\"46282752\"]\n  24 -> 38 [size =\"46282752\"]\n  24 -> 39 [size =\"46282752\"]\n  24 -> 41 [size =\"46282752\"]\n  24 -> 42 [size =\"46282752\"]\n  24 -> 46 [size =\"46282752\"]\n  25 [size=\"27415040\", alpha=\"0.07\", expect_size=\"10966016\"] \n  25 -> 50 [size =\"10966016\"]\n  26 [size=\"50754560\", alpha=\"0.02\", expect_size=\"20301824\"] \n  27 [size=\"111137280\", alpha=\"0.05\", expect_size=\"44454912\"] \n  27 -> 50 [size =\"44454912\"]\n  28 [size=\"44321280\", alpha=\"0.05\", expect_size=\"17728512\"] \n  28 -> 47 [size =\"17728512\"]\n  28 -> 50 [size =\"17728512\"]\n  29 [size=\"20723200\", alpha=\"0.18\", expect_size=\"8289280\"] \n  29 -> 47 [size =\"8289280\"]\n  29 -> 50 [size =\"8289280\"]\n  30 [size=\"52672000\", alpha=\"0.05\", expect_size=\"21068800\"] \n  30 -> 47 [size =\"21068800\"]\n  30 -> 50 [size =\"21068800\"]\n  31 [size=\"93066240\", alpha=\"0.11\", expect_size=\"37226496\"] \n  31 -> 50 [size =\"37226496\"]\n  31 -> 50 [size =\"37226496\"]\n  32 [size=\"129838080\", alpha=\"0.16\", expect_size=\"51935232\"] \n  32 -> 49 [size =\"51935232\"]\n  33 [size=\"17466880\", alpha=\"0.19\", expect_size=\"6986752\"] \n  34 [size=\"24143360\", alpha=\"0.16\", expect_size=\"9657344\"] \n  34 -> 50 [size =\"9657344\"]\n  35 [size=\"45811200\", alpha=\"0.01\", expect_size=\"18324480\"] \n  35 -> 50 [size =\"18324480\"]\n  36 [size=\"85916160\", alpha=\"0.10\", expect_size=\"34366464\"] \n  36 -> 47 [size =\"34366464\"]\n  37 [size=\"99499520\", alpha=\"0.00\", expect_size=\"39799808\"] \n  38 [size=\"129141760\", alpha=\"0.07\", expect_size=\"51656704\"] \n  38 -> 47 [size =\"51656704\"]\n  38 -> 50 [size =\"51656704\"]\n  39 [size=\"39856640\", alpha=\"0.02\", expect_size=\"15942656\"] \n  39 -> 47 [size =\"15942656\"]\n  39 -> 49 [size =\"15942656\"]\n  39 -> 50 [size =\"15942656\"]\n  40 [size=\"25461760\", alpha=\"0.05\", expect_size=\"10184704\"] \n  40 -> 47 [size =\"10184704\"]\n  40 -> 50 [size =\"10184704\"]\n  40 -> 50 [size =\"10184704\"]\n  41 [size=\"55541760\", alpha=\"0.12\", expect_size=\"22216704\"] \n  41 -> 48 [size =\"22216704\"]\n  41 -> 50 [size =\"22216704\"]\n  42 [size=\"122122240\", alpha=\"0.00\", expect_size=\"48848896\"] \n  43 [size=\"100922880\", alpha=\"0.10\", expect_size=\"40369152\"] \n  43 -> 48 [size =\"40369152\"]\n  43 -> 49 [size =\"40369152\"]\n  44 [size=\"97879040\", alpha=\"0.17\", expect_size=\"39151616\"] \n  45 [size=\"71861760\", alpha=\"0.06\", expect_size=\"28744704\"] \n  45 -> 49 [size =\"28744704\"]\n  46 [size=\"76556800\", alpha=\"0.02\", expect_size=\"30622720\"] \n  46 -> 50 [size =\"30622720\"]\n  47 [size=\"20441600\", alpha=\"0.15\", expect_size=\"8176640\"] \n  48 [size=\"22648320\", alpha=\"0.12\", expect_size=\"9059328\"] \n  49 [size=\"61550080\", alpha=\"0.11\", expect_size=\"24620032\"] \n  50 [size=\"73331200\", alpha=\"0.17\", expect_size=\"29332480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.441.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100728832\", alpha=\"0.18\", expect_size=\"50364416\"] \n  1 -> 3 [size =\"50364416\"]\n  1 -> 4 [size =\"50364416\"]\n  2 [size=\"37236736\", alpha=\"0.06\", expect_size=\"18618368\"] \n  2 -> 3 [size =\"18618368\"]\n  2 -> 4 [size =\"18618368\"]\n  3 [size=\"89266176\", alpha=\"0.01\", expect_size=\"44633088\"] \n  3 -> 5 [size =\"44633088\"]\n  3 -> 6 [size =\"44633088\"]\n  3 -> 7 [size =\"44633088\"]\n  4 [size=\"43786240\", alpha=\"0.03\", expect_size=\"21893120\"] \n  4 -> 6 [size =\"21893120\"]\n  5 [size=\"74070016\", alpha=\"0.15\", expect_size=\"37035008\"] \n  5 -> 8 [size =\"37035008\"]\n  5 -> 9 [size =\"37035008\"]\n  5 -> 10 [size =\"37035008\"]\n  5 -> 11 [size =\"37035008\"]\n  6 [size=\"58624000\", alpha=\"0.12\", expect_size=\"29312000\"] \n  6 -> 8 [size =\"29312000\"]\n  6 -> 9 [size =\"29312000\"]\n  6 -> 10 [size =\"29312000\"]\n  6 -> 11 [size =\"29312000\"]\n  7 [size=\"81539072\", alpha=\"0.20\", expect_size=\"40769536\"] \n  7 -> 8 [size =\"40769536\"]\n  7 -> 9 [size =\"40769536\"]\n  7 -> 10 [size =\"40769536\"]\n  7 -> 11 [size =\"40769536\"]\n  8 [size=\"46510080\", alpha=\"0.11\", expect_size=\"23255040\"] \n  8 -> 12 [size =\"23255040\"]\n  9 [size=\"52637696\", alpha=\"0.20\", expect_size=\"26318848\"] \n  10 [size=\"74668032\", alpha=\"0.19\", expect_size=\"37334016\"] \n  10 -> 12 [size =\"37334016\"]\n  10 -> 13 [size =\"37334016\"]\n  10 -> 14 [size =\"37334016\"]\n  11 [size=\"90468352\", alpha=\"0.09\", expect_size=\"45234176\"] \n  11 -> 12 [size =\"45234176\"]\n  12 [size=\"81778688\", alpha=\"0.02\", expect_size=\"40889344\"] \n  12 -> 17 [size =\"40889344\"]\n  12 -> 18 [size =\"40889344\"]\n  13 [size=\"13981696\", alpha=\"0.08\", expect_size=\"6990848\"] \n  13 -> 15 [size =\"6990848\"]\n  13 -> 16 [size =\"6990848\"]\n  13 -> 18 [size =\"6990848\"]\n  14 [size=\"18814976\", alpha=\"0.10\", expect_size=\"9407488\"] \n  14 -> 15 [size =\"9407488\"]\n  14 -> 16 [size =\"9407488\"]\n  14 -> 18 [size =\"9407488\"]\n  15 [size=\"33882112\", alpha=\"0.01\", expect_size=\"16941056\"] \n  15 -> 20 [size =\"16941056\"]\n  15 -> 20 [size =\"16941056\"]\n  16 [size=\"103798784\", alpha=\"0.08\", expect_size=\"51899392\"] \n  16 -> 19 [size =\"51899392\"]\n  16 -> 20 [size =\"51899392\"]\n  17 [size=\"63928320\", alpha=\"0.11\", expect_size=\"31964160\"] \n  17 -> 19 [size =\"31964160\"]\n  18 [size=\"61657088\", alpha=\"0.11\", expect_size=\"30828544\"] \n  18 -> 19 [size =\"30828544\"]\n  18 -> 20 [size =\"30828544\"]\n  19 [size=\"18421760\", alpha=\"0.15\", expect_size=\"9210880\"] \n  19 -> 21 [size =\"9210880\"]\n  19 -> 22 [size =\"9210880\"]\n  19 -> 23 [size =\"9210880\"]\n  19 -> 24 [size =\"9210880\"]\n  20 [size=\"17262592\", alpha=\"0.07\", expect_size=\"8631296\"] \n  20 -> 21 [size =\"8631296\"]\n  20 -> 22 [size =\"8631296\"]\n  20 -> 23 [size =\"8631296\"]\n  21 [size=\"14323712\", alpha=\"0.18\", expect_size=\"7161856\"] \n  21 -> 25 [size =\"7161856\"]\n  21 -> 26 [size =\"7161856\"]\n  22 [size=\"55400448\", alpha=\"0.15\", expect_size=\"27700224\"] \n  22 -> 26 [size =\"27700224\"]\n  23 [size=\"65660928\", alpha=\"0.09\", expect_size=\"32830464\"] \n  23 -> 25 [size =\"32830464\"]\n  23 -> 26 [size =\"32830464\"]\n  24 [size=\"104003584\", alpha=\"0.10\", expect_size=\"52001792\"] \n  24 -> 25 [size =\"52001792\"]\n  24 -> 26 [size =\"52001792\"]\n  25 [size=\"58654720\", alpha=\"0.04\", expect_size=\"29327360\"] \n  25 -> 27 [size =\"29327360\"]\n  25 -> 29 [size =\"29327360\"]\n  26 [size=\"64616448\", alpha=\"0.08\", expect_size=\"32308224\"] \n  26 -> 27 [size =\"32308224\"]\n  26 -> 28 [size =\"32308224\"]\n  27 [size=\"100214784\", alpha=\"0.08\", expect_size=\"50107392\"] \n  27 -> 30 [size =\"50107392\"]\n  27 -> 31 [size =\"50107392\"]\n  27 -> 32 [size =\"50107392\"]\n  28 [size=\"58077184\", alpha=\"0.15\", expect_size=\"29038592\"] \n  28 -> 30 [size =\"29038592\"]\n  28 -> 31 [size =\"29038592\"]\n  28 -> 32 [size =\"29038592\"]\n  29 [size=\"13668352\", alpha=\"0.11\", expect_size=\"6834176\"] \n  29 -> 30 [size =\"6834176\"]\n  29 -> 32 [size =\"6834176\"]\n  30 [size=\"83107840\", alpha=\"0.01\", expect_size=\"41553920\"] \n  30 -> 33 [size =\"41553920\"]\n  30 -> 34 [size =\"41553920\"]\n  31 [size=\"21368832\", alpha=\"0.07\", expect_size=\"10684416\"] \n  31 -> 33 [size =\"10684416\"]\n  31 -> 34 [size =\"10684416\"]\n  31 -> 35 [size =\"10684416\"]\n  32 [size=\"13066240\", alpha=\"0.09\", expect_size=\"6533120\"] \n  32 -> 33 [size =\"6533120\"]\n  32 -> 34 [size =\"6533120\"]\n  32 -> 35 [size =\"6533120\"]\n  33 [size=\"84953088\", alpha=\"0.11\", expect_size=\"42476544\"] \n  33 -> 36 [size =\"42476544\"]\n  34 [size=\"32690176\", alpha=\"0.16\", expect_size=\"16345088\"] \n  34 -> 36 [size =\"16345088\"]\n  35 [size=\"78327808\", alpha=\"0.05\", expect_size=\"39163904\"] \n  35 -> 36 [size =\"39163904\"]\n  36 [size=\"96706560\", alpha=\"0.14\", expect_size=\"48353280\"] \n  36 -> 37 [size =\"48353280\"]\n  36 -> 38 [size =\"48353280\"]\n  37 [size=\"41590784\", alpha=\"0.14\", expect_size=\"20795392\"] \n  37 -> 39 [size =\"20795392\"]\n  38 [size=\"78407680\", alpha=\"0.05\", expect_size=\"39203840\"] \n  38 -> 39 [size =\"39203840\"]\n  38 -> 40 [size =\"39203840\"]\n  39 [size=\"54439936\", alpha=\"0.18\", expect_size=\"27219968\"] \n  39 -> 41 [size =\"27219968\"]\n  39 -> 42 [size =\"27219968\"]\n  40 [size=\"11839488\", alpha=\"0.12\", expect_size=\"5919744\"] \n  40 -> 41 [size =\"5919744\"]\n  41 [size=\"14790656\", alpha=\"0.07\", expect_size=\"7395328\"] \n  41 -> 43 [size =\"7395328\"]\n  42 [size=\"48904192\", alpha=\"0.12\", expect_size=\"24452096\"] \n  42 -> 43 [size =\"24452096\"]\n  42 -> 44 [size =\"24452096\"]\n  43 [size=\"91103232\", alpha=\"0.08\", expect_size=\"45551616\"] \n  43 -> 45 [size =\"45551616\"]\n  43 -> 47 [size =\"45551616\"]\n  43 -> 48 [size =\"45551616\"]\n  44 [size=\"50515968\", alpha=\"0.04\", expect_size=\"25257984\"] \n  44 -> 45 [size =\"25257984\"]\n  44 -> 46 [size =\"25257984\"]\n  44 -> 47 [size =\"25257984\"]\n  44 -> 48 [size =\"25257984\"]\n  45 [size=\"29841408\", alpha=\"0.10\", expect_size=\"14920704\"] \n  45 -> 49 [size =\"14920704\"]\n  45 -> 50 [size =\"14920704\"]\n  46 [size=\"52477952\", alpha=\"0.08\", expect_size=\"26238976\"] \n  46 -> 49 [size =\"26238976\"]\n  46 -> 50 [size =\"26238976\"]\n  47 [size=\"22996992\", alpha=\"0.05\", expect_size=\"11498496\"] \n  47 -> 49 [size =\"11498496\"]\n  47 -> 50 [size =\"11498496\"]\n  48 [size=\"89210880\", alpha=\"0.12\", expect_size=\"44605440\"] \n  48 -> 50 [size =\"44605440\"]\n  49 [size=\"19177472\", alpha=\"0.19\", expect_size=\"9588736\"] \n  50 [size=\"103946240\", alpha=\"0.02\", expect_size=\"51973120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.442.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57929728\", alpha=\"0.16\", expect_size=\"28964864\"] \n  1 -> 8 [size =\"28964864\"]\n  1 -> 10 [size =\"28964864\"]\n  1 -> 12 [size =\"28964864\"]\n  1 -> 13 [size =\"28964864\"]\n  1 -> 14 [size =\"28964864\"]\n  2 [size=\"46520320\", alpha=\"0.17\", expect_size=\"23260160\"] \n  2 -> 13 [size =\"23260160\"]\n  3 [size=\"50094080\", alpha=\"0.15\", expect_size=\"25047040\"] \n  3 -> 12 [size =\"25047040\"]\n  4 [size=\"104718336\", alpha=\"0.05\", expect_size=\"52359168\"] \n  4 -> 14 [size =\"52359168\"]\n  5 [size=\"66912256\", alpha=\"0.13\", expect_size=\"33456128\"] \n  5 -> 10 [size =\"33456128\"]\n  5 -> 12 [size =\"33456128\"]\n  5 -> 13 [size =\"33456128\"]\n  5 -> 14 [size =\"33456128\"]\n  6 [size=\"95418368\", alpha=\"0.16\", expect_size=\"47709184\"] \n  6 -> 11 [size =\"47709184\"]\n  6 -> 12 [size =\"47709184\"]\n  6 -> 13 [size =\"47709184\"]\n  6 -> 14 [size =\"47709184\"]\n  7 [size=\"76400640\", alpha=\"0.00\", expect_size=\"38200320\"] \n  7 -> 9 [size =\"38200320\"]\n  7 -> 10 [size =\"38200320\"]\n  7 -> 12 [size =\"38200320\"]\n  7 -> 13 [size =\"38200320\"]\n  8 [size=\"78305280\", alpha=\"0.11\", expect_size=\"39152640\"] \n  8 -> 15 [size =\"39152640\"]\n  8 -> 17 [size =\"39152640\"]\n  8 -> 18 [size =\"39152640\"]\n  8 -> 20 [size =\"39152640\"]\n  9 [size=\"54945792\", alpha=\"0.00\", expect_size=\"27472896\"] \n  10 [size=\"67538944\", alpha=\"0.20\", expect_size=\"33769472\"] \n  10 -> 16 [size =\"33769472\"]\n  10 -> 18 [size =\"33769472\"]\n  10 -> 20 [size =\"33769472\"]\n  11 [size=\"15288320\", alpha=\"0.05\", expect_size=\"7644160\"] \n  11 -> 16 [size =\"7644160\"]\n  11 -> 18 [size =\"7644160\"]\n  11 -> 20 [size =\"7644160\"]\n  12 [size=\"91873280\", alpha=\"0.13\", expect_size=\"45936640\"] \n  12 -> 15 [size =\"45936640\"]\n  12 -> 16 [size =\"45936640\"]\n  12 -> 18 [size =\"45936640\"]\n  12 -> 19 [size =\"45936640\"]\n  13 [size=\"75415552\", alpha=\"0.16\", expect_size=\"37707776\"] \n  13 -> 15 [size =\"37707776\"]\n  13 -> 16 [size =\"37707776\"]\n  13 -> 17 [size =\"37707776\"]\n  13 -> 19 [size =\"37707776\"]\n  13 -> 20 [size =\"37707776\"]\n  14 [size=\"52465664\", alpha=\"0.06\", expect_size=\"26232832\"] \n  14 -> 15 [size =\"26232832\"]\n  14 -> 17 [size =\"26232832\"]\n  14 -> 18 [size =\"26232832\"]\n  14 -> 19 [size =\"26232832\"]\n  15 [size=\"77764608\", alpha=\"0.16\", expect_size=\"38882304\"] \n  15 -> 21 [size =\"38882304\"]\n  15 -> 23 [size =\"38882304\"]\n  15 -> 25 [size =\"38882304\"]\n  15 -> 26 [size =\"38882304\"]\n  16 [size=\"47091712\", alpha=\"0.11\", expect_size=\"23545856\"] \n  16 -> 21 [size =\"23545856\"]\n  16 -> 22 [size =\"23545856\"]\n  17 [size=\"26007552\", alpha=\"0.09\", expect_size=\"13003776\"] \n  17 -> 21 [size =\"13003776\"]\n  17 -> 24 [size =\"13003776\"]\n  18 [size=\"27693056\", alpha=\"0.07\", expect_size=\"13846528\"] \n  18 -> 21 [size =\"13846528\"]\n  18 -> 23 [size =\"13846528\"]\n  18 -> 26 [size =\"13846528\"]\n  19 [size=\"79745024\", alpha=\"0.08\", expect_size=\"39872512\"] \n  19 -> 22 [size =\"39872512\"]\n  19 -> 23 [size =\"39872512\"]\n  19 -> 26 [size =\"39872512\"]\n  20 [size=\"81950720\", alpha=\"0.14\", expect_size=\"40975360\"] \n  20 -> 21 [size =\"40975360\"]\n  20 -> 22 [size =\"40975360\"]\n  21 [size=\"80304128\", alpha=\"0.11\", expect_size=\"40152064\"] \n  21 -> 29 [size =\"40152064\"]\n  21 -> 31 [size =\"40152064\"]\n  21 -> 32 [size =\"40152064\"]\n  22 [size=\"11782144\", alpha=\"0.15\", expect_size=\"5891072\"] \n  23 [size=\"71550976\", alpha=\"0.07\", expect_size=\"35775488\"] \n  23 -> 29 [size =\"35775488\"]\n  23 -> 30 [size =\"35775488\"]\n  24 [size=\"50442240\", alpha=\"0.20\", expect_size=\"25221120\"] \n  24 -> 27 [size =\"25221120\"]\n  24 -> 28 [size =\"25221120\"]\n  24 -> 30 [size =\"25221120\"]\n  24 -> 31 [size =\"25221120\"]\n  25 [size=\"80508928\", alpha=\"0.04\", expect_size=\"40254464\"] \n  25 -> 27 [size =\"40254464\"]\n  25 -> 31 [size =\"40254464\"]\n  25 -> 32 [size =\"40254464\"]\n  26 [size=\"63635456\", alpha=\"0.07\", expect_size=\"31817728\"] \n  26 -> 27 [size =\"31817728\"]\n  26 -> 31 [size =\"31817728\"]\n  27 [size=\"20744192\", alpha=\"0.03\", expect_size=\"10372096\"] \n  27 -> 33 [size =\"10372096\"]\n  27 -> 35 [size =\"10372096\"]\n  27 -> 36 [size =\"10372096\"]\n  27 -> 37 [size =\"10372096\"]\n  28 [size=\"64911360\", alpha=\"0.14\", expect_size=\"32455680\"] \n  28 -> 33 [size =\"32455680\"]\n  28 -> 34 [size =\"32455680\"]\n  28 -> 35 [size =\"32455680\"]\n  28 -> 38 [size =\"32455680\"]\n  29 [size=\"96636928\", alpha=\"0.14\", expect_size=\"48318464\"] \n  29 -> 33 [size =\"48318464\"]\n  29 -> 37 [size =\"48318464\"]\n  30 [size=\"38701056\", alpha=\"0.07\", expect_size=\"19350528\"] \n  30 -> 33 [size =\"19350528\"]\n  30 -> 34 [size =\"19350528\"]\n  30 -> 35 [size =\"19350528\"]\n  30 -> 36 [size =\"19350528\"]\n  30 -> 37 [size =\"19350528\"]\n  30 -> 38 [size =\"19350528\"]\n  31 [size=\"11218944\", alpha=\"0.20\", expect_size=\"5609472\"] \n  31 -> 34 [size =\"5609472\"]\n  31 -> 35 [size =\"5609472\"]\n  31 -> 36 [size =\"5609472\"]\n  31 -> 38 [size =\"5609472\"]\n  32 [size=\"61632512\", alpha=\"0.11\", expect_size=\"30816256\"] \n  32 -> 33 [size =\"30816256\"]\n  32 -> 34 [size =\"30816256\"]\n  32 -> 37 [size =\"30816256\"]\n  33 [size=\"37236736\", alpha=\"0.15\", expect_size=\"18618368\"] \n  33 -> 39 [size =\"18618368\"]\n  33 -> 41 [size =\"18618368\"]\n  34 [size=\"72011776\", alpha=\"0.08\", expect_size=\"36005888\"] \n  34 -> 39 [size =\"36005888\"]\n  34 -> 40 [size =\"36005888\"]\n  34 -> 44 [size =\"36005888\"]\n  34 -> 45 [size =\"36005888\"]\n  35 [size=\"71446528\", alpha=\"0.16\", expect_size=\"35723264\"] \n  35 -> 40 [size =\"35723264\"]\n  35 -> 45 [size =\"35723264\"]\n  36 [size=\"91967488\", alpha=\"0.11\", expect_size=\"45983744\"] \n  36 -> 40 [size =\"45983744\"]\n  36 -> 45 [size =\"45983744\"]\n  37 [size=\"29767680\", alpha=\"0.09\", expect_size=\"14883840\"] \n  37 -> 39 [size =\"14883840\"]\n  37 -> 42 [size =\"14883840\"]\n  37 -> 43 [size =\"14883840\"]\n  37 -> 44 [size =\"14883840\"]\n  38 [size=\"45129728\", alpha=\"0.12\", expect_size=\"22564864\"] \n  38 -> 39 [size =\"22564864\"]\n  38 -> 42 [size =\"22564864\"]\n  38 -> 44 [size =\"22564864\"]\n  39 [size=\"17131520\", alpha=\"0.09\", expect_size=\"8565760\"] \n  39 -> 47 [size =\"8565760\"]\n  39 -> 48 [size =\"8565760\"]\n  40 [size=\"84609024\", alpha=\"0.01\", expect_size=\"42304512\"] \n  40 -> 50 [size =\"42304512\"]\n  41 [size=\"21499904\", alpha=\"0.07\", expect_size=\"10749952\"] \n  41 -> 46 [size =\"10749952\"]\n  41 -> 47 [size =\"10749952\"]\n  41 -> 48 [size =\"10749952\"]\n  41 -> 49 [size =\"10749952\"]\n  41 -> 50 [size =\"10749952\"]\n  42 [size=\"21352448\", alpha=\"0.15\", expect_size=\"10676224\"] \n  42 -> 46 [size =\"10676224\"]\n  42 -> 47 [size =\"10676224\"]\n  42 -> 48 [size =\"10676224\"]\n  42 -> 50 [size =\"10676224\"]\n  43 [size=\"71182336\", alpha=\"0.15\", expect_size=\"35591168\"] \n  43 -> 49 [size =\"35591168\"]\n  44 [size=\"47175680\", alpha=\"0.03\", expect_size=\"23587840\"] \n  44 -> 47 [size =\"23587840\"]\n  44 -> 48 [size =\"23587840\"]\n  45 [size=\"85690368\", alpha=\"0.06\", expect_size=\"42845184\"] \n  45 -> 47 [size =\"42845184\"]\n  45 -> 48 [size =\"42845184\"]\n  46 [size=\"65259520\", alpha=\"0.01\", expect_size=\"32629760\"] \n  47 [size=\"22489088\", alpha=\"0.18\", expect_size=\"11244544\"] \n  48 [size=\"67272704\", alpha=\"0.06\", expect_size=\"33636352\"] \n  49 [size=\"28078080\", alpha=\"0.13\", expect_size=\"14039040\"] \n  50 [size=\"68536320\", alpha=\"0.05\", expect_size=\"34268160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.443.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41584640\", alpha=\"0.02\", expect_size=\"16633856\"] \n  1 -> 4 [size =\"16633856\"]\n  2 [size=\"88704000\", alpha=\"0.05\", expect_size=\"35481600\"] \n  2 -> 4 [size =\"35481600\"]\n  3 [size=\"85824000\", alpha=\"0.14\", expect_size=\"34329600\"] \n  3 -> 4 [size =\"34329600\"]\n  3 -> 5 [size =\"34329600\"]\n  4 [size=\"53754880\", alpha=\"0.09\", expect_size=\"21501952\"] \n  4 -> 6 [size =\"21501952\"]\n  4 -> 7 [size =\"21501952\"]\n  4 -> 8 [size =\"21501952\"]\n  5 [size=\"63001600\", alpha=\"0.01\", expect_size=\"25200640\"] \n  5 -> 6 [size =\"25200640\"]\n  5 -> 7 [size =\"25200640\"]\n  5 -> 8 [size =\"25200640\"]\n  6 [size=\"122129920\", alpha=\"0.05\", expect_size=\"48851968\"] \n  6 -> 9 [size =\"48851968\"]\n  6 -> 10 [size =\"48851968\"]\n  6 -> 11 [size =\"48851968\"]\n  7 [size=\"67404800\", alpha=\"0.14\", expect_size=\"26961920\"] \n  7 -> 9 [size =\"26961920\"]\n  7 -> 10 [size =\"26961920\"]\n  7 -> 11 [size =\"26961920\"]\n  8 [size=\"47362560\", alpha=\"0.07\", expect_size=\"18945024\"] \n  8 -> 11 [size =\"18945024\"]\n  9 [size=\"97940480\", alpha=\"0.09\", expect_size=\"39176192\"] \n  9 -> 12 [size =\"39176192\"]\n  9 -> 14 [size =\"39176192\"]\n  10 [size=\"53066240\", alpha=\"0.07\", expect_size=\"21226496\"] \n  10 -> 12 [size =\"21226496\"]\n  10 -> 14 [size =\"21226496\"]\n  11 [size=\"122813440\", alpha=\"0.19\", expect_size=\"49125376\"] \n  11 -> 12 [size =\"49125376\"]\n  11 -> 13 [size =\"49125376\"]\n  11 -> 14 [size =\"49125376\"]\n  12 [size=\"14289920\", alpha=\"0.13\", expect_size=\"5715968\"] \n  12 -> 16 [size =\"5715968\"]\n  13 [size=\"41953280\", alpha=\"0.09\", expect_size=\"16781312\"] \n  13 -> 15 [size =\"16781312\"]\n  14 [size=\"124771840\", alpha=\"0.11\", expect_size=\"49908736\"] \n  14 -> 16 [size =\"49908736\"]\n  15 [size=\"60154880\", alpha=\"0.09\", expect_size=\"24061952\"] \n  15 -> 17 [size =\"24061952\"]\n  15 -> 18 [size =\"24061952\"]\n  16 [size=\"67694080\", alpha=\"0.11\", expect_size=\"27077632\"] \n  16 -> 17 [size =\"27077632\"]\n  16 -> 18 [size =\"27077632\"]\n  17 [size=\"96555520\", alpha=\"0.05\", expect_size=\"38622208\"] \n  17 -> 19 [size =\"38622208\"]\n  17 -> 21 [size =\"38622208\"]\n  18 [size=\"61729280\", alpha=\"0.03\", expect_size=\"24691712\"] \n  18 -> 19 [size =\"24691712\"]\n  18 -> 20 [size =\"24691712\"]\n  19 [size=\"104916480\", alpha=\"0.10\", expect_size=\"41966592\"] \n  19 -> 24 [size =\"41966592\"]\n  20 [size=\"37370880\", alpha=\"0.07\", expect_size=\"14948352\"] \n  20 -> 22 [size =\"14948352\"]\n  20 -> 23 [size =\"14948352\"]\n  20 -> 24 [size =\"14948352\"]\n  21 [size=\"79265280\", alpha=\"0.08\", expect_size=\"31706112\"] \n  22 [size=\"75130880\", alpha=\"0.03\", expect_size=\"30052352\"] \n  22 -> 25 [size =\"30052352\"]\n  23 [size=\"33487360\", alpha=\"0.10\", expect_size=\"13394944\"] \n  23 -> 25 [size =\"13394944\"]\n  23 -> 26 [size =\"13394944\"]\n  24 [size=\"87600640\", alpha=\"0.03\", expect_size=\"35040256\"] \n  24 -> 25 [size =\"35040256\"]\n  24 -> 26 [size =\"35040256\"]\n  25 [size=\"35307520\", alpha=\"0.06\", expect_size=\"14123008\"] \n  25 -> 27 [size =\"14123008\"]\n  25 -> 28 [size =\"14123008\"]\n  25 -> 29 [size =\"14123008\"]\n  26 [size=\"87357440\", alpha=\"0.06\", expect_size=\"34942976\"] \n  26 -> 27 [size =\"34942976\"]\n  26 -> 28 [size =\"34942976\"]\n  26 -> 29 [size =\"34942976\"]\n  27 [size=\"33036800\", alpha=\"0.16\", expect_size=\"13214720\"] \n  27 -> 30 [size =\"13214720\"]\n  27 -> 31 [size =\"13214720\"]\n  28 [size=\"62622720\", alpha=\"0.12\", expect_size=\"25049088\"] \n  28 -> 30 [size =\"25049088\"]\n  28 -> 31 [size =\"25049088\"]\n  29 [size=\"82309120\", alpha=\"0.02\", expect_size=\"32923648\"] \n  29 -> 30 [size =\"32923648\"]\n  29 -> 31 [size =\"32923648\"]\n  30 [size=\"21550080\", alpha=\"0.19\", expect_size=\"8620032\"] \n  30 -> 32 [size =\"8620032\"]\n  30 -> 33 [size =\"8620032\"]\n  30 -> 34 [size =\"8620032\"]\n  31 [size=\"60362240\", alpha=\"0.14\", expect_size=\"24144896\"] \n  31 -> 34 [size =\"24144896\"]\n  32 [size=\"109255680\", alpha=\"0.10\", expect_size=\"43702272\"] \n  32 -> 35 [size =\"43702272\"]\n  32 -> 36 [size =\"43702272\"]\n  33 [size=\"125867520\", alpha=\"0.11\", expect_size=\"50347008\"] \n  33 -> 36 [size =\"50347008\"]\n  33 -> 36 [size =\"50347008\"]\n  34 [size=\"64947200\", alpha=\"0.10\", expect_size=\"25978880\"] \n  35 [size=\"85112320\", alpha=\"0.17\", expect_size=\"34044928\"] \n  35 -> 37 [size =\"34044928\"]\n  35 -> 38 [size =\"34044928\"]\n  36 [size=\"118289920\", alpha=\"0.14\", expect_size=\"47315968\"] \n  36 -> 37 [size =\"47315968\"]\n  36 -> 38 [size =\"47315968\"]\n  37 [size=\"37573120\", alpha=\"0.05\", expect_size=\"15029248\"] \n  37 -> 39 [size =\"15029248\"]\n  37 -> 40 [size =\"15029248\"]\n  38 [size=\"15229440\", alpha=\"0.04\", expect_size=\"6091776\"] \n  38 -> 39 [size =\"6091776\"]\n  38 -> 40 [size =\"6091776\"]\n  39 [size=\"85509120\", alpha=\"0.19\", expect_size=\"34203648\"] \n  39 -> 41 [size =\"34203648\"]\n  39 -> 42 [size =\"34203648\"]\n  39 -> 43 [size =\"34203648\"]\n  40 [size=\"97320960\", alpha=\"0.18\", expect_size=\"38928384\"] \n  40 -> 41 [size =\"38928384\"]\n  40 -> 42 [size =\"38928384\"]\n  40 -> 43 [size =\"38928384\"]\n  41 [size=\"90626560\", alpha=\"0.08\", expect_size=\"36250624\"] \n  41 -> 44 [size =\"36250624\"]\n  41 -> 45 [size =\"36250624\"]\n  41 -> 46 [size =\"36250624\"]\n  42 [size=\"57167360\", alpha=\"0.08\", expect_size=\"22866944\"] \n  42 -> 44 [size =\"22866944\"]\n  42 -> 45 [size =\"22866944\"]\n  42 -> 46 [size =\"22866944\"]\n  43 [size=\"116093440\", alpha=\"0.12\", expect_size=\"46437376\"] \n  43 -> 44 [size =\"46437376\"]\n  43 -> 45 [size =\"46437376\"]\n  43 -> 46 [size =\"46437376\"]\n  44 [size=\"60321280\", alpha=\"0.09\", expect_size=\"24128512\"] \n  44 -> 47 [size =\"24128512\"]\n  44 -> 48 [size =\"24128512\"]\n  45 [size=\"119482880\", alpha=\"0.09\", expect_size=\"47793152\"] \n  45 -> 47 [size =\"47793152\"]\n  45 -> 48 [size =\"47793152\"]\n  46 [size=\"104696320\", alpha=\"0.02\", expect_size=\"41878528\"] \n  46 -> 47 [size =\"41878528\"]\n  46 -> 48 [size =\"41878528\"]\n  46 -> 49 [size =\"41878528\"]\n  47 [size=\"70553600\", alpha=\"0.18\", expect_size=\"28221440\"] \n  48 [size=\"100497920\", alpha=\"0.03\", expect_size=\"40199168\"] \n  48 -> 50 [size =\"40199168\"]\n  49 [size=\"125194240\", alpha=\"0.20\", expect_size=\"50077696\"] \n  50 [size=\"118484480\", alpha=\"0.18\", expect_size=\"47393792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.444.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"32865280\", alpha=\"0.20\", expect_size=\"13146112\"] \n  1 -> 16 [size =\"13146112\"]\n  1 -> 19 [size =\"13146112\"]\n  1 -> 23 [size =\"13146112\"]\n  1 -> 31 [size =\"13146112\"]\n  2 [size=\"13888000\", alpha=\"0.08\", expect_size=\"5555200\"] \n  2 -> 16 [size =\"5555200\"]\n  2 -> 25 [size =\"5555200\"]\n  2 -> 31 [size =\"5555200\"]\n  2 -> 32 [size =\"5555200\"]\n  3 [size=\"56988160\", alpha=\"0.13\", expect_size=\"22795264\"] \n  3 -> 21 [size =\"22795264\"]\n  3 -> 23 [size =\"22795264\"]\n  3 -> 29 [size =\"22795264\"]\n  3 -> 31 [size =\"22795264\"]\n  4 [size=\"34475520\", alpha=\"0.07\", expect_size=\"13790208\"] \n  4 -> 17 [size =\"13790208\"]\n  4 -> 25 [size =\"13790208\"]\n  4 -> 30 [size =\"13790208\"]\n  4 -> 32 [size =\"13790208\"]\n  5 [size=\"74437120\", alpha=\"0.18\", expect_size=\"29774848\"] \n  5 -> 16 [size =\"29774848\"]\n  5 -> 23 [size =\"29774848\"]\n  5 -> 24 [size =\"29774848\"]\n  5 -> 30 [size =\"29774848\"]\n  6 [size=\"59261440\", alpha=\"0.02\", expect_size=\"23704576\"] \n  6 -> 17 [size =\"23704576\"]\n  6 -> 18 [size =\"23704576\"]\n  6 -> 20 [size =\"23704576\"]\n  7 [size=\"81891840\", alpha=\"0.16\", expect_size=\"32756736\"] \n  7 -> 17 [size =\"32756736\"]\n  7 -> 18 [size =\"32756736\"]\n  7 -> 19 [size =\"32756736\"]\n  7 -> 21 [size =\"32756736\"]\n  7 -> 23 [size =\"32756736\"]\n  7 -> 24 [size =\"32756736\"]\n  7 -> 26 [size =\"32756736\"]\n  7 -> 31 [size =\"32756736\"]\n  8 [size=\"27000320\", alpha=\"0.05\", expect_size=\"10800128\"] \n  8 -> 16 [size =\"10800128\"]\n  8 -> 17 [size =\"10800128\"]\n  8 -> 18 [size =\"10800128\"]\n  8 -> 22 [size =\"10800128\"]\n  8 -> 25 [size =\"10800128\"]\n  8 -> 27 [size =\"10800128\"]\n  8 -> 31 [size =\"10800128\"]\n  8 -> 32 [size =\"10800128\"]\n  9 [size=\"30643200\", alpha=\"0.03\", expect_size=\"12257280\"] \n  9 -> 17 [size =\"12257280\"]\n  9 -> 17 [size =\"12257280\"]\n  9 -> 18 [size =\"12257280\"]\n  9 -> 21 [size =\"12257280\"]\n  9 -> 23 [size =\"12257280\"]\n  9 -> 25 [size =\"12257280\"]\n  9 -> 29 [size =\"12257280\"]\n  9 -> 31 [size =\"12257280\"]\n  10 [size=\"94164480\", alpha=\"0.09\", expect_size=\"37665792\"] \n  10 -> 16 [size =\"37665792\"]\n  10 -> 18 [size =\"37665792\"]\n  10 -> 18 [size =\"37665792\"]\n  10 -> 21 [size =\"37665792\"]\n  10 -> 22 [size =\"37665792\"]\n  11 [size=\"59699200\", alpha=\"0.05\", expect_size=\"23879680\"] \n  11 -> 16 [size =\"23879680\"]\n  11 -> 19 [size =\"23879680\"]\n  11 -> 20 [size =\"23879680\"]\n  11 -> 21 [size =\"23879680\"]\n  11 -> 22 [size =\"23879680\"]\n  11 -> 24 [size =\"23879680\"]\n  11 -> 26 [size =\"23879680\"]\n  12 [size=\"57397760\", alpha=\"0.08\", expect_size=\"22959104\"] \n  12 -> 19 [size =\"22959104\"]\n  12 -> 20 [size =\"22959104\"]\n  12 -> 21 [size =\"22959104\"]\n  12 -> 25 [size =\"22959104\"]\n  12 -> 30 [size =\"22959104\"]\n  12 -> 31 [size =\"22959104\"]\n  12 -> 32 [size =\"22959104\"]\n  13 [size=\"101867520\", alpha=\"0.18\", expect_size=\"40747008\"] \n  13 -> 18 [size =\"40747008\"]\n  13 -> 19 [size =\"40747008\"]\n  13 -> 20 [size =\"40747008\"]\n  13 -> 23 [size =\"40747008\"]\n  13 -> 25 [size =\"40747008\"]\n  13 -> 29 [size =\"40747008\"]\n  14 [size=\"61752320\", alpha=\"0.05\", expect_size=\"24700928\"] \n  14 -> 16 [size =\"24700928\"]\n  14 -> 19 [size =\"24700928\"]\n  14 -> 20 [size =\"24700928\"]\n  14 -> 25 [size =\"24700928\"]\n  14 -> 25 [size =\"24700928\"]\n  14 -> 26 [size =\"24700928\"]\n  14 -> 28 [size =\"24700928\"]\n  15 [size=\"103034880\", alpha=\"0.02\", expect_size=\"41213952\"] \n  15 -> 20 [size =\"41213952\"]\n  15 -> 21 [size =\"41213952\"]\n  15 -> 22 [size =\"41213952\"]\n  15 -> 28 [size =\"41213952\"]\n  15 -> 31 [size =\"41213952\"]\n  16 [size=\"89164800\", alpha=\"0.14\", expect_size=\"35665920\"] \n  16 -> 33 [size =\"35665920\"]\n  16 -> 35 [size =\"35665920\"]\n  16 -> 36 [size =\"35665920\"]\n  16 -> 38 [size =\"35665920\"]\n  16 -> 39 [size =\"35665920\"]\n  16 -> 40 [size =\"35665920\"]\n  16 -> 42 [size =\"35665920\"]\n  17 [size=\"103016960\", alpha=\"0.13\", expect_size=\"41206784\"] \n  17 -> 33 [size =\"41206784\"]\n  17 -> 36 [size =\"41206784\"]\n  17 -> 36 [size =\"41206784\"]\n  17 -> 39 [size =\"41206784\"]\n  17 -> 40 [size =\"41206784\"]\n  17 -> 41 [size =\"41206784\"]\n  18 [size=\"81052160\", alpha=\"0.06\", expect_size=\"32420864\"] \n  18 -> 33 [size =\"32420864\"]\n  18 -> 34 [size =\"32420864\"]\n  18 -> 35 [size =\"32420864\"]\n  19 [size=\"112875520\", alpha=\"0.04\", expect_size=\"45150208\"] \n  19 -> 33 [size =\"45150208\"]\n  19 -> 34 [size =\"45150208\"]\n  19 -> 35 [size =\"45150208\"]\n  19 -> 38 [size =\"45150208\"]\n  19 -> 39 [size =\"45150208\"]\n  19 -> 41 [size =\"45150208\"]\n  20 [size=\"13163520\", alpha=\"0.15\", expect_size=\"5265408\"] \n  21 [size=\"66219520\", alpha=\"0.09\", expect_size=\"26487808\"] \n  21 -> 36 [size =\"26487808\"]\n  21 -> 38 [size =\"26487808\"]\n  22 [size=\"97128960\", alpha=\"0.03\", expect_size=\"38851584\"] \n  22 -> 38 [size =\"38851584\"]\n  22 -> 41 [size =\"38851584\"]\n  23 [size=\"25866240\", alpha=\"0.05\", expect_size=\"10346496\"] \n  23 -> 38 [size =\"10346496\"]\n  23 -> 39 [size =\"10346496\"]\n  24 [size=\"14369280\", alpha=\"0.10\", expect_size=\"5747712\"] \n  24 -> 34 [size =\"5747712\"]\n  24 -> 37 [size =\"5747712\"]\n  24 -> 38 [size =\"5747712\"]\n  24 -> 41 [size =\"5747712\"]\n  25 [size=\"44285440\", alpha=\"0.06\", expect_size=\"17714176\"] \n  25 -> 36 [size =\"17714176\"]\n  25 -> 39 [size =\"17714176\"]\n  25 -> 40 [size =\"17714176\"]\n  25 -> 42 [size =\"17714176\"]\n  26 [size=\"54963200\", alpha=\"0.09\", expect_size=\"21985280\"] \n  26 -> 34 [size =\"21985280\"]\n  26 -> 36 [size =\"21985280\"]\n  26 -> 38 [size =\"21985280\"]\n  26 -> 39 [size =\"21985280\"]\n  27 [size=\"17402880\", alpha=\"0.04\", expect_size=\"6961152\"] \n  27 -> 39 [size =\"6961152\"]\n  27 -> 41 [size =\"6961152\"]\n  28 [size=\"95718400\", alpha=\"0.02\", expect_size=\"38287360\"] \n  28 -> 38 [size =\"38287360\"]\n  29 [size=\"14635520\", alpha=\"0.02\", expect_size=\"5854208\"] \n  29 -> 36 [size =\"5854208\"]\n  29 -> 38 [size =\"5854208\"]\n  30 [size=\"39068160\", alpha=\"0.16\", expect_size=\"15627264\"] \n  30 -> 37 [size =\"15627264\"]\n  30 -> 40 [size =\"15627264\"]\n  31 [size=\"126609920\", alpha=\"0.18\", expect_size=\"50643968\"] \n  32 [size=\"61084160\", alpha=\"0.08\", expect_size=\"24433664\"] \n  32 -> 36 [size =\"24433664\"]\n  32 -> 42 [size =\"24433664\"]\n  32 -> 43 [size =\"24433664\"]\n  33 [size=\"79206400\", alpha=\"0.13\", expect_size=\"31682560\"] \n  33 -> 44 [size =\"31682560\"]\n  34 [size=\"106892800\", alpha=\"0.06\", expect_size=\"42757120\"] \n  34 -> 45 [size =\"42757120\"]\n  34 -> 49 [size =\"42757120\"]\n  34 -> 50 [size =\"42757120\"]\n  35 [size=\"47546880\", alpha=\"0.14\", expect_size=\"19018752\"] \n  35 -> 44 [size =\"19018752\"]\n  35 -> 48 [size =\"19018752\"]\n  36 [size=\"80465920\", alpha=\"0.15\", expect_size=\"32186368\"] \n  36 -> 46 [size =\"32186368\"]\n  37 [size=\"15879680\", alpha=\"0.11\", expect_size=\"6351872\"] \n  37 -> 45 [size =\"6351872\"]\n  37 -> 46 [size =\"6351872\"]\n  37 -> 47 [size =\"6351872\"]\n  37 -> 48 [size =\"6351872\"]\n  38 [size=\"40537600\", alpha=\"0.19\", expect_size=\"16215040\"] \n  38 -> 45 [size =\"16215040\"]\n  38 -> 46 [size =\"16215040\"]\n  38 -> 48 [size =\"16215040\"]\n  39 [size=\"50368000\", alpha=\"0.04\", expect_size=\"20147200\"] \n  39 -> 44 [size =\"20147200\"]\n  39 -> 45 [size =\"20147200\"]\n  39 -> 46 [size =\"20147200\"]\n  40 [size=\"62906880\", alpha=\"0.08\", expect_size=\"25162752\"] \n  40 -> 44 [size =\"25162752\"]\n  40 -> 45 [size =\"25162752\"]\n  40 -> 48 [size =\"25162752\"]\n  41 [size=\"41251840\", alpha=\"0.02\", expect_size=\"16500736\"] \n  41 -> 44 [size =\"16500736\"]\n  42 [size=\"31989760\", alpha=\"0.10\", expect_size=\"12795904\"] \n  42 -> 44 [size =\"12795904\"]\n  43 [size=\"79418880\", alpha=\"0.00\", expect_size=\"31767552\"] \n  43 -> 45 [size =\"31767552\"]\n  43 -> 49 [size =\"31767552\"]\n  44 [size=\"36367360\", alpha=\"0.11\", expect_size=\"14546944\"] \n  45 [size=\"69445120\", alpha=\"0.06\", expect_size=\"27778048\"] \n  46 [size=\"32652800\", alpha=\"0.09\", expect_size=\"13061120\"] \n  47 [size=\"120015360\", alpha=\"0.13\", expect_size=\"48006144\"] \n  48 [size=\"67545600\", alpha=\"0.10\", expect_size=\"27018240\"] \n  49 [size=\"61155840\", alpha=\"0.08\", expect_size=\"24462336\"] \n  50 [size=\"82649600\", alpha=\"0.10\", expect_size=\"33059840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.445.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61206528\", alpha=\"0.14\", expect_size=\"30603264\"] \n  1 -> 17 [size =\"30603264\"]\n  1 -> 18 [size =\"30603264\"]\n  1 -> 20 [size =\"30603264\"]\n  1 -> 22 [size =\"30603264\"]\n  2 [size=\"67006464\", alpha=\"0.01\", expect_size=\"33503232\"] \n  2 -> 17 [size =\"33503232\"]\n  2 -> 18 [size =\"33503232\"]\n  2 -> 20 [size =\"33503232\"]\n  2 -> 21 [size =\"33503232\"]\n  3 [size=\"94818304\", alpha=\"0.09\", expect_size=\"47409152\"] \n  3 -> 16 [size =\"47409152\"]\n  3 -> 17 [size =\"47409152\"]\n  3 -> 20 [size =\"47409152\"]\n  3 -> 27 [size =\"47409152\"]\n  3 -> 30 [size =\"47409152\"]\n  4 [size=\"37666816\", alpha=\"0.06\", expect_size=\"18833408\"] \n  4 -> 17 [size =\"18833408\"]\n  4 -> 20 [size =\"18833408\"]\n  4 -> 22 [size =\"18833408\"]\n  4 -> 24 [size =\"18833408\"]\n  4 -> 27 [size =\"18833408\"]\n  5 [size=\"47036416\", alpha=\"0.16\", expect_size=\"23518208\"] \n  5 -> 16 [size =\"23518208\"]\n  5 -> 17 [size =\"23518208\"]\n  5 -> 18 [size =\"23518208\"]\n  5 -> 22 [size =\"23518208\"]\n  6 [size=\"31270912\", alpha=\"0.05\", expect_size=\"15635456\"] \n  6 -> 16 [size =\"15635456\"]\n  6 -> 20 [size =\"15635456\"]\n  6 -> 21 [size =\"15635456\"]\n  6 -> 22 [size =\"15635456\"]\n  6 -> 30 [size =\"15635456\"]\n  7 [size=\"104433664\", alpha=\"0.06\", expect_size=\"52216832\"] \n  7 -> 18 [size =\"52216832\"]\n  7 -> 20 [size =\"52216832\"]\n  7 -> 22 [size =\"52216832\"]\n  7 -> 23 [size =\"52216832\"]\n  7 -> 24 [size =\"52216832\"]\n  8 [size=\"65703936\", alpha=\"0.14\", expect_size=\"32851968\"] \n  8 -> 19 [size =\"32851968\"]\n  8 -> 20 [size =\"32851968\"]\n  8 -> 22 [size =\"32851968\"]\n  8 -> 25 [size =\"32851968\"]\n  8 -> 27 [size =\"32851968\"]\n  9 [size=\"90222592\", alpha=\"0.08\", expect_size=\"45111296\"] \n  9 -> 16 [size =\"45111296\"]\n  9 -> 17 [size =\"45111296\"]\n  9 -> 19 [size =\"45111296\"]\n  9 -> 20 [size =\"45111296\"]\n  9 -> 24 [size =\"45111296\"]\n  9 -> 29 [size =\"45111296\"]\n  10 [size=\"20236288\", alpha=\"0.06\", expect_size=\"10118144\"] \n  10 -> 17 [size =\"10118144\"]\n  10 -> 29 [size =\"10118144\"]\n  11 [size=\"100646912\", alpha=\"0.02\", expect_size=\"50323456\"] \n  11 -> 27 [size =\"50323456\"]\n  11 -> 29 [size =\"50323456\"]\n  12 [size=\"73054208\", alpha=\"0.07\", expect_size=\"36527104\"] \n  12 -> 15 [size =\"36527104\"]\n  12 -> 19 [size =\"36527104\"]\n  12 -> 21 [size =\"36527104\"]\n  12 -> 22 [size =\"36527104\"]\n  12 -> 23 [size =\"36527104\"]\n  12 -> 27 [size =\"36527104\"]\n  13 [size=\"78028800\", alpha=\"0.13\", expect_size=\"39014400\"] \n  13 -> 18 [size =\"39014400\"]\n  13 -> 24 [size =\"39014400\"]\n  13 -> 28 [size =\"39014400\"]\n  13 -> 29 [size =\"39014400\"]\n  14 [size=\"28061696\", alpha=\"0.00\", expect_size=\"14030848\"] \n  14 -> 16 [size =\"14030848\"]\n  14 -> 17 [size =\"14030848\"]\n  14 -> 19 [size =\"14030848\"]\n  14 -> 21 [size =\"14030848\"]\n  14 -> 26 [size =\"14030848\"]\n  15 [size=\"54401024\", alpha=\"0.08\", expect_size=\"27200512\"] \n  15 -> 31 [size =\"27200512\"]\n  15 -> 37 [size =\"27200512\"]\n  15 -> 38 [size =\"27200512\"]\n  15 -> 42 [size =\"27200512\"]\n  15 -> 43 [size =\"27200512\"]\n  15 -> 46 [size =\"27200512\"]\n  16 [size=\"33740800\", alpha=\"0.03\", expect_size=\"16870400\"] \n  16 -> 31 [size =\"16870400\"]\n  16 -> 32 [size =\"16870400\"]\n  16 -> 36 [size =\"16870400\"]\n  16 -> 40 [size =\"16870400\"]\n  16 -> 43 [size =\"16870400\"]\n  16 -> 46 [size =\"16870400\"]\n  17 [size=\"56471552\", alpha=\"0.17\", expect_size=\"28235776\"] \n  17 -> 31 [size =\"28235776\"]\n  17 -> 32 [size =\"28235776\"]\n  17 -> 43 [size =\"28235776\"]\n  18 [size=\"83949568\", alpha=\"0.19\", expect_size=\"41974784\"] \n  18 -> 31 [size =\"41974784\"]\n  18 -> 32 [size =\"41974784\"]\n  18 -> 37 [size =\"41974784\"]\n  18 -> 38 [size =\"41974784\"]\n  18 -> 43 [size =\"41974784\"]\n  19 [size=\"54003712\", alpha=\"0.20\", expect_size=\"27001856\"] \n  19 -> 31 [size =\"27001856\"]\n  19 -> 33 [size =\"27001856\"]\n  19 -> 35 [size =\"27001856\"]\n  19 -> 41 [size =\"27001856\"]\n  19 -> 43 [size =\"27001856\"]\n  20 [size=\"92977152\", alpha=\"0.20\", expect_size=\"46488576\"] \n  20 -> 31 [size =\"46488576\"]\n  20 -> 35 [size =\"46488576\"]\n  20 -> 41 [size =\"46488576\"]\n  20 -> 42 [size =\"46488576\"]\n  21 [size=\"28633088\", alpha=\"0.11\", expect_size=\"14316544\"] \n  21 -> 31 [size =\"14316544\"]\n  21 -> 36 [size =\"14316544\"]\n  21 -> 37 [size =\"14316544\"]\n  21 -> 42 [size =\"14316544\"]\n  21 -> 43 [size =\"14316544\"]\n  21 -> 45 [size =\"14316544\"]\n  21 -> 46 [size =\"14316544\"]\n  22 [size=\"35964928\", alpha=\"0.13\", expect_size=\"17982464\"] \n  22 -> 31 [size =\"17982464\"]\n  22 -> 33 [size =\"17982464\"]\n  22 -> 36 [size =\"17982464\"]\n  22 -> 39 [size =\"17982464\"]\n  22 -> 40 [size =\"17982464\"]\n  22 -> 41 [size =\"17982464\"]\n  22 -> 42 [size =\"17982464\"]\n  23 [size=\"67008512\", alpha=\"0.14\", expect_size=\"33504256\"] \n  23 -> 34 [size =\"33504256\"]\n  23 -> 37 [size =\"33504256\"]\n  23 -> 38 [size =\"33504256\"]\n  23 -> 42 [size =\"33504256\"]\n  23 -> 46 [size =\"33504256\"]\n  24 [size=\"35549184\", alpha=\"0.01\", expect_size=\"17774592\"] \n  24 -> 31 [size =\"17774592\"]\n  24 -> 36 [size =\"17774592\"]\n  24 -> 37 [size =\"17774592\"]\n  24 -> 41 [size =\"17774592\"]\n  24 -> 42 [size =\"17774592\"]\n  25 [size=\"36411392\", alpha=\"0.15\", expect_size=\"18205696\"] \n  25 -> 32 [size =\"18205696\"]\n  25 -> 34 [size =\"18205696\"]\n  25 -> 36 [size =\"18205696\"]\n  25 -> 41 [size =\"18205696\"]\n  25 -> 42 [size =\"18205696\"]\n  25 -> 43 [size =\"18205696\"]\n  26 [size=\"72632320\", alpha=\"0.13\", expect_size=\"36316160\"] \n  26 -> 36 [size =\"36316160\"]\n  27 [size=\"84897792\", alpha=\"0.12\", expect_size=\"42448896\"] \n  27 -> 32 [size =\"42448896\"]\n  27 -> 39 [size =\"42448896\"]\n  27 -> 40 [size =\"42448896\"]\n  27 -> 41 [size =\"42448896\"]\n  27 -> 43 [size =\"42448896\"]\n  28 [size=\"72259584\", alpha=\"0.02\", expect_size=\"36129792\"] \n  28 -> 32 [size =\"36129792\"]\n  28 -> 34 [size =\"36129792\"]\n  28 -> 36 [size =\"36129792\"]\n  28 -> 42 [size =\"36129792\"]\n  29 [size=\"67280896\", alpha=\"0.09\", expect_size=\"33640448\"] \n  29 -> 32 [size =\"33640448\"]\n  29 -> 34 [size =\"33640448\"]\n  29 -> 36 [size =\"33640448\"]\n  29 -> 41 [size =\"33640448\"]\n  29 -> 44 [size =\"33640448\"]\n  29 -> 45 [size =\"33640448\"]\n  30 [size=\"65751040\", alpha=\"0.18\", expect_size=\"32875520\"] \n  30 -> 31 [size =\"32875520\"]\n  30 -> 38 [size =\"32875520\"]\n  30 -> 40 [size =\"32875520\"]\n  30 -> 41 [size =\"32875520\"]\n  30 -> 45 [size =\"32875520\"]\n  30 -> 46 [size =\"32875520\"]\n  31 [size=\"64675840\", alpha=\"0.07\", expect_size=\"32337920\"] \n  32 [size=\"20406272\", alpha=\"0.08\", expect_size=\"10203136\"] \n  33 [size=\"83832832\", alpha=\"0.04\", expect_size=\"41916416\"] \n  34 [size=\"56178688\", alpha=\"0.04\", expect_size=\"28089344\"] \n  34 -> 47 [size =\"28089344\"]\n  34 -> 49 [size =\"28089344\"]\n  35 [size=\"58992640\", alpha=\"0.13\", expect_size=\"29496320\"] \n  35 -> 50 [size =\"29496320\"]\n  36 [size=\"34455552\", alpha=\"0.07\", expect_size=\"17227776\"] \n  37 [size=\"97726464\", alpha=\"0.10\", expect_size=\"48863232\"] \n  38 [size=\"59639808\", alpha=\"0.09\", expect_size=\"29819904\"] \n  38 -> 50 [size =\"29819904\"]\n  39 [size=\"69783552\", alpha=\"0.18\", expect_size=\"34891776\"] \n  39 -> 50 [size =\"34891776\"]\n  40 [size=\"19156992\", alpha=\"0.03\", expect_size=\"9578496\"] \n  40 -> 47 [size =\"9578496\"]\n  40 -> 50 [size =\"9578496\"]\n  41 [size=\"11878400\", alpha=\"0.13\", expect_size=\"5939200\"] \n  41 -> 48 [size =\"5939200\"]\n  41 -> 50 [size =\"5939200\"]\n  42 [size=\"43741184\", alpha=\"0.08\", expect_size=\"21870592\"] \n  42 -> 50 [size =\"21870592\"]\n  43 [size=\"82944000\", alpha=\"0.15\", expect_size=\"41472000\"] \n  43 -> 50 [size =\"41472000\"]\n  44 [size=\"102656000\", alpha=\"0.08\", expect_size=\"51328000\"] \n  44 -> 50 [size =\"51328000\"]\n  45 [size=\"26085376\", alpha=\"0.06\", expect_size=\"13042688\"] \n  46 [size=\"85891072\", alpha=\"0.17\", expect_size=\"42945536\"] \n  47 [size=\"22210560\", alpha=\"0.03\", expect_size=\"11105280\"] \n  48 [size=\"69777408\", alpha=\"0.03\", expect_size=\"34888704\"] \n  49 [size=\"18939904\", alpha=\"0.15\", expect_size=\"9469952\"] \n  50 [size=\"101957632\", alpha=\"0.19\", expect_size=\"50978816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.446.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97896960\", alpha=\"0.13\", expect_size=\"39158784\"] \n  1 -> 2 [size =\"39158784\"]\n  2 [size=\"28490240\", alpha=\"0.19\", expect_size=\"11396096\"] \n  2 -> 3 [size =\"11396096\"]\n  3 [size=\"94023680\", alpha=\"0.00\", expect_size=\"37609472\"] \n  3 -> 4 [size =\"37609472\"]\n  4 [size=\"40135680\", alpha=\"0.03\", expect_size=\"16054272\"] \n  4 -> 5 [size =\"16054272\"]\n  5 [size=\"42478080\", alpha=\"0.17\", expect_size=\"16991232\"] \n  5 -> 6 [size =\"16991232\"]\n  6 [size=\"44116480\", alpha=\"0.14\", expect_size=\"17646592\"] \n  6 -> 7 [size =\"17646592\"]\n  7 [size=\"37690880\", alpha=\"0.19\", expect_size=\"15076352\"] \n  7 -> 8 [size =\"15076352\"]\n  8 [size=\"57740800\", alpha=\"0.17\", expect_size=\"23096320\"] \n  8 -> 9 [size =\"23096320\"]\n  9 [size=\"51361280\", alpha=\"0.02\", expect_size=\"20544512\"] \n  9 -> 10 [size =\"20544512\"]\n  10 [size=\"68789760\", alpha=\"0.15\", expect_size=\"27515904\"] \n  10 -> 11 [size =\"27515904\"]\n  11 [size=\"106498560\", alpha=\"0.07\", expect_size=\"42599424\"] \n  11 -> 12 [size =\"42599424\"]\n  12 [size=\"68106240\", alpha=\"0.18\", expect_size=\"27242496\"] \n  12 -> 13 [size =\"27242496\"]\n  13 [size=\"60078080\", alpha=\"0.09\", expect_size=\"24031232\"] \n  13 -> 14 [size =\"24031232\"]\n  14 [size=\"61803520\", alpha=\"0.14\", expect_size=\"24721408\"] \n  14 -> 15 [size =\"24721408\"]\n  15 [size=\"81981440\", alpha=\"0.19\", expect_size=\"32792576\"] \n  15 -> 16 [size =\"32792576\"]\n  16 [size=\"63232000\", alpha=\"0.02\", expect_size=\"25292800\"] \n  16 -> 17 [size =\"25292800\"]\n  17 [size=\"29744640\", alpha=\"0.16\", expect_size=\"11897856\"] \n  17 -> 18 [size =\"11897856\"]\n  18 [size=\"24832000\", alpha=\"0.01\", expect_size=\"9932800\"] \n  18 -> 19 [size =\"9932800\"]\n  19 [size=\"127257600\", alpha=\"0.03\", expect_size=\"50903040\"] \n  19 -> 20 [size =\"50903040\"]\n  20 [size=\"22466560\", alpha=\"0.09\", expect_size=\"8986624\"] \n  20 -> 21 [size =\"8986624\"]\n  21 [size=\"113047040\", alpha=\"0.10\", expect_size=\"45218816\"] \n  21 -> 22 [size =\"45218816\"]\n  22 [size=\"33633280\", alpha=\"0.13\", expect_size=\"13453312\"] \n  22 -> 23 [size =\"13453312\"]\n  23 [size=\"19302400\", alpha=\"0.10\", expect_size=\"7720960\"] \n  23 -> 24 [size =\"7720960\"]\n  24 [size=\"72209920\", alpha=\"0.11\", expect_size=\"28883968\"] \n  24 -> 25 [size =\"28883968\"]\n  25 [size=\"37278720\", alpha=\"0.17\", expect_size=\"14911488\"] \n  25 -> 26 [size =\"14911488\"]\n  26 [size=\"30586880\", alpha=\"0.09\", expect_size=\"12234752\"] \n  26 -> 27 [size =\"12234752\"]\n  27 [size=\"39685120\", alpha=\"0.05\", expect_size=\"15874048\"] \n  27 -> 28 [size =\"15874048\"]\n  28 [size=\"16079360\", alpha=\"0.08\", expect_size=\"6431744\"] \n  28 -> 29 [size =\"6431744\"]\n  29 [size=\"19691520\", alpha=\"0.18\", expect_size=\"7876608\"] \n  29 -> 30 [size =\"7876608\"]\n  30 [size=\"39518720\", alpha=\"0.17\", expect_size=\"15807488\"] \n  30 -> 31 [size =\"15807488\"]\n  31 [size=\"95091200\", alpha=\"0.12\", expect_size=\"38036480\"] \n  31 -> 32 [size =\"38036480\"]\n  32 [size=\"35266560\", alpha=\"0.17\", expect_size=\"14106624\"] \n  32 -> 33 [size =\"14106624\"]\n  33 [size=\"111362560\", alpha=\"0.09\", expect_size=\"44545024\"] \n  33 -> 34 [size =\"44545024\"]\n  34 [size=\"50401280\", alpha=\"0.10\", expect_size=\"20160512\"] \n  34 -> 35 [size =\"20160512\"]\n  35 [size=\"115340800\", alpha=\"0.02\", expect_size=\"46136320\"] \n  35 -> 36 [size =\"46136320\"]\n  36 [size=\"99624960\", alpha=\"0.03\", expect_size=\"39849984\"] \n  36 -> 37 [size =\"39849984\"]\n  37 [size=\"34265600\", alpha=\"0.06\", expect_size=\"13706240\"] \n  37 -> 38 [size =\"13706240\"]\n  38 [size=\"61811200\", alpha=\"0.12\", expect_size=\"24724480\"] \n  38 -> 39 [size =\"24724480\"]\n  39 [size=\"108933120\", alpha=\"0.17\", expect_size=\"43573248\"] \n  39 -> 40 [size =\"43573248\"]\n  40 [size=\"95920640\", alpha=\"0.03\", expect_size=\"38368256\"] \n  40 -> 41 [size =\"38368256\"]\n  41 [size=\"78453760\", alpha=\"0.07\", expect_size=\"31381504\"] \n  41 -> 42 [size =\"31381504\"]\n  42 [size=\"31966720\", alpha=\"0.14\", expect_size=\"12786688\"] \n  42 -> 43 [size =\"12786688\"]\n  43 [size=\"129420800\", alpha=\"0.02\", expect_size=\"51768320\"] \n  43 -> 44 [size =\"51768320\"]\n  44 [size=\"63895040\", alpha=\"0.20\", expect_size=\"25558016\"] \n  44 -> 45 [size =\"25558016\"]\n  45 [size=\"120017920\", alpha=\"0.02\", expect_size=\"48007168\"] \n  45 -> 46 [size =\"48007168\"]\n  46 [size=\"130736640\", alpha=\"0.07\", expect_size=\"52294656\"] \n  46 -> 47 [size =\"52294656\"]\n  47 [size=\"28208640\", alpha=\"0.17\", expect_size=\"11283456\"] \n  47 -> 48 [size =\"11283456\"]\n  48 [size=\"65006080\", alpha=\"0.07\", expect_size=\"26002432\"] \n  48 -> 49 [size =\"26002432\"]\n  49 [size=\"16924160\", alpha=\"0.18\", expect_size=\"6769664\"] \n  49 -> 50 [size =\"6769664\"]\n  50 [size=\"116078080\", alpha=\"0.14\", expect_size=\"46431232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.447.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95662080\", alpha=\"0.06\", expect_size=\"47831040\"] \n  1 -> 2 [size =\"47831040\"]\n  2 [size=\"77885440\", alpha=\"0.10\", expect_size=\"38942720\"] \n  2 -> 3 [size =\"38942720\"]\n  3 [size=\"31428608\", alpha=\"0.09\", expect_size=\"15714304\"] \n  3 -> 4 [size =\"15714304\"]\n  4 [size=\"99465216\", alpha=\"0.17\", expect_size=\"49732608\"] \n  4 -> 5 [size =\"49732608\"]\n  5 [size=\"44091392\", alpha=\"0.07\", expect_size=\"22045696\"] \n  5 -> 6 [size =\"22045696\"]\n  6 [size=\"48439296\", alpha=\"0.10\", expect_size=\"24219648\"] \n  6 -> 7 [size =\"24219648\"]\n  7 [size=\"19951616\", alpha=\"0.02\", expect_size=\"9975808\"] \n  7 -> 8 [size =\"9975808\"]\n  8 [size=\"28430336\", alpha=\"0.14\", expect_size=\"14215168\"] \n  8 -> 9 [size =\"14215168\"]\n  9 [size=\"44087296\", alpha=\"0.02\", expect_size=\"22043648\"] \n  9 -> 10 [size =\"22043648\"]\n  10 [size=\"23697408\", alpha=\"0.09\", expect_size=\"11848704\"] \n  10 -> 11 [size =\"11848704\"]\n  11 [size=\"102830080\", alpha=\"0.07\", expect_size=\"51415040\"] \n  11 -> 12 [size =\"51415040\"]\n  12 [size=\"36503552\", alpha=\"0.19\", expect_size=\"18251776\"] \n  12 -> 13 [size =\"18251776\"]\n  13 [size=\"84447232\", alpha=\"0.00\", expect_size=\"42223616\"] \n  13 -> 14 [size =\"42223616\"]\n  14 [size=\"34848768\", alpha=\"0.07\", expect_size=\"17424384\"] \n  14 -> 15 [size =\"17424384\"]\n  15 [size=\"21057536\", alpha=\"0.12\", expect_size=\"10528768\"] \n  15 -> 16 [size =\"10528768\"]\n  16 [size=\"54065152\", alpha=\"0.12\", expect_size=\"27032576\"] \n  16 -> 17 [size =\"27032576\"]\n  17 [size=\"100257792\", alpha=\"0.10\", expect_size=\"50128896\"] \n  17 -> 18 [size =\"50128896\"]\n  18 [size=\"15681536\", alpha=\"0.08\", expect_size=\"7840768\"] \n  18 -> 19 [size =\"7840768\"]\n  19 [size=\"82241536\", alpha=\"0.03\", expect_size=\"41120768\"] \n  19 -> 20 [size =\"41120768\"]\n  20 [size=\"93399040\", alpha=\"0.09\", expect_size=\"46699520\"] \n  20 -> 21 [size =\"46699520\"]\n  21 [size=\"43026432\", alpha=\"0.13\", expect_size=\"21513216\"] \n  21 -> 22 [size =\"21513216\"]\n  22 [size=\"76439552\", alpha=\"0.11\", expect_size=\"38219776\"] \n  22 -> 23 [size =\"38219776\"]\n  23 [size=\"73410560\", alpha=\"0.14\", expect_size=\"36705280\"] \n  23 -> 24 [size =\"36705280\"]\n  24 [size=\"74235904\", alpha=\"0.16\", expect_size=\"37117952\"] \n  24 -> 25 [size =\"37117952\"]\n  25 [size=\"12881920\", alpha=\"0.05\", expect_size=\"6440960\"] \n  25 -> 26 [size =\"6440960\"]\n  26 [size=\"70805504\", alpha=\"0.01\", expect_size=\"35402752\"] \n  26 -> 27 [size =\"35402752\"]\n  27 [size=\"30818304\", alpha=\"0.00\", expect_size=\"15409152\"] \n  27 -> 28 [size =\"15409152\"]\n  28 [size=\"79783936\", alpha=\"0.03\", expect_size=\"39891968\"] \n  28 -> 29 [size =\"39891968\"]\n  29 [size=\"20903936\", alpha=\"0.13\", expect_size=\"10451968\"] \n  29 -> 30 [size =\"10451968\"]\n  30 [size=\"34713600\", alpha=\"0.05\", expect_size=\"17356800\"] \n  30 -> 31 [size =\"17356800\"]\n  31 [size=\"76920832\", alpha=\"0.17\", expect_size=\"38460416\"] \n  31 -> 32 [size =\"38460416\"]\n  32 [size=\"43956224\", alpha=\"0.15\", expect_size=\"21978112\"] \n  32 -> 33 [size =\"21978112\"]\n  33 [size=\"97595392\", alpha=\"0.08\", expect_size=\"48797696\"] \n  33 -> 34 [size =\"48797696\"]\n  34 [size=\"70037504\", alpha=\"0.07\", expect_size=\"35018752\"] \n  34 -> 35 [size =\"35018752\"]\n  35 [size=\"50264064\", alpha=\"0.07\", expect_size=\"25132032\"] \n  35 -> 36 [size =\"25132032\"]\n  36 [size=\"71878656\", alpha=\"0.17\", expect_size=\"35939328\"] \n  36 -> 37 [size =\"35939328\"]\n  37 [size=\"78465024\", alpha=\"0.06\", expect_size=\"39232512\"] \n  37 -> 38 [size =\"39232512\"]\n  38 [size=\"79489024\", alpha=\"0.16\", expect_size=\"39744512\"] \n  38 -> 39 [size =\"39744512\"]\n  39 [size=\"92897280\", alpha=\"0.02\", expect_size=\"46448640\"] \n  39 -> 40 [size =\"46448640\"]\n  40 [size=\"57921536\", alpha=\"0.04\", expect_size=\"28960768\"] \n  40 -> 41 [size =\"28960768\"]\n  41 [size=\"82143232\", alpha=\"0.14\", expect_size=\"41071616\"] \n  41 -> 42 [size =\"41071616\"]\n  42 [size=\"69163008\", alpha=\"0.18\", expect_size=\"34581504\"] \n  42 -> 43 [size =\"34581504\"]\n  43 [size=\"45002752\", alpha=\"0.15\", expect_size=\"22501376\"] \n  43 -> 44 [size =\"22501376\"]\n  44 [size=\"83623936\", alpha=\"0.06\", expect_size=\"41811968\"] \n  44 -> 45 [size =\"41811968\"]\n  45 [size=\"20645888\", alpha=\"0.17\", expect_size=\"10322944\"] \n  45 -> 46 [size =\"10322944\"]\n  46 [size=\"55388160\", alpha=\"0.01\", expect_size=\"27694080\"] \n  46 -> 47 [size =\"27694080\"]\n  47 [size=\"42686464\", alpha=\"0.09\", expect_size=\"21343232\"] \n  47 -> 48 [size =\"21343232\"]\n  48 [size=\"72310784\", alpha=\"0.12\", expect_size=\"36155392\"] \n  48 -> 49 [size =\"36155392\"]\n  49 [size=\"55089152\", alpha=\"0.17\", expect_size=\"27544576\"] \n  49 -> 50 [size =\"27544576\"]\n  50 [size=\"62777344\", alpha=\"0.07\", expect_size=\"31388672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.448.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89872384\", alpha=\"0.02\", expect_size=\"44936192\"] \n  1 -> 2 [size =\"44936192\"]\n  2 [size=\"101580800\", alpha=\"0.05\", expect_size=\"50790400\"] \n  2 -> 3 [size =\"50790400\"]\n  3 [size=\"94668800\", alpha=\"0.10\", expect_size=\"47334400\"] \n  3 -> 4 [size =\"47334400\"]\n  4 [size=\"56309760\", alpha=\"0.17\", expect_size=\"28154880\"] \n  4 -> 5 [size =\"28154880\"]\n  5 [size=\"77076480\", alpha=\"0.10\", expect_size=\"38538240\"] \n  5 -> 6 [size =\"38538240\"]\n  6 [size=\"89737216\", alpha=\"0.04\", expect_size=\"44868608\"] \n  6 -> 7 [size =\"44868608\"]\n  7 [size=\"64370688\", alpha=\"0.12\", expect_size=\"32185344\"] \n  7 -> 8 [size =\"32185344\"]\n  8 [size=\"60844032\", alpha=\"0.02\", expect_size=\"30422016\"] \n  8 -> 9 [size =\"30422016\"]\n  9 [size=\"27348992\", alpha=\"0.08\", expect_size=\"13674496\"] \n  9 -> 10 [size =\"13674496\"]\n  10 [size=\"37050368\", alpha=\"0.04\", expect_size=\"18525184\"] \n  10 -> 11 [size =\"18525184\"]\n  11 [size=\"77785088\", alpha=\"0.07\", expect_size=\"38892544\"] \n  11 -> 12 [size =\"38892544\"]\n  12 [size=\"88045568\", alpha=\"0.13\", expect_size=\"44022784\"] \n  12 -> 13 [size =\"44022784\"]\n  13 [size=\"16269312\", alpha=\"0.15\", expect_size=\"8134656\"] \n  13 -> 14 [size =\"8134656\"]\n  14 [size=\"62435328\", alpha=\"0.08\", expect_size=\"31217664\"] \n  14 -> 15 [size =\"31217664\"]\n  15 [size=\"46743552\", alpha=\"0.17\", expect_size=\"23371776\"] \n  15 -> 16 [size =\"23371776\"]\n  16 [size=\"94380032\", alpha=\"0.03\", expect_size=\"47190016\"] \n  16 -> 17 [size =\"47190016\"]\n  17 [size=\"19081216\", alpha=\"0.16\", expect_size=\"9540608\"] \n  17 -> 18 [size =\"9540608\"]\n  18 [size=\"75229184\", alpha=\"0.03\", expect_size=\"37614592\"] \n  18 -> 19 [size =\"37614592\"]\n  19 [size=\"86677504\", alpha=\"0.00\", expect_size=\"43338752\"] \n  19 -> 20 [size =\"43338752\"]\n  20 [size=\"32311296\", alpha=\"0.14\", expect_size=\"16155648\"] \n  20 -> 21 [size =\"16155648\"]\n  21 [size=\"52760576\", alpha=\"0.04\", expect_size=\"26380288\"] \n  21 -> 22 [size =\"26380288\"]\n  22 [size=\"84516864\", alpha=\"0.14\", expect_size=\"42258432\"] \n  22 -> 23 [size =\"42258432\"]\n  23 [size=\"52811776\", alpha=\"0.01\", expect_size=\"26405888\"] \n  23 -> 24 [size =\"26405888\"]\n  24 [size=\"29648896\", alpha=\"0.18\", expect_size=\"14824448\"] \n  24 -> 25 [size =\"14824448\"]\n  25 [size=\"67125248\", alpha=\"0.10\", expect_size=\"33562624\"] \n  25 -> 26 [size =\"33562624\"]\n  26 [size=\"54489088\", alpha=\"0.18\", expect_size=\"27244544\"] \n  26 -> 27 [size =\"27244544\"]\n  27 [size=\"70817792\", alpha=\"0.17\", expect_size=\"35408896\"] \n  27 -> 28 [size =\"35408896\"]\n  28 [size=\"49977344\", alpha=\"0.08\", expect_size=\"24988672\"] \n  28 -> 29 [size =\"24988672\"]\n  29 [size=\"64770048\", alpha=\"0.01\", expect_size=\"32385024\"] \n  29 -> 30 [size =\"32385024\"]\n  30 [size=\"65830912\", alpha=\"0.01\", expect_size=\"32915456\"] \n  30 -> 31 [size =\"32915456\"]\n  31 [size=\"36292608\", alpha=\"0.14\", expect_size=\"18146304\"] \n  31 -> 32 [size =\"18146304\"]\n  32 [size=\"55543808\", alpha=\"0.04\", expect_size=\"27771904\"] \n  32 -> 33 [size =\"27771904\"]\n  33 [size=\"25935872\", alpha=\"0.16\", expect_size=\"12967936\"] \n  33 -> 34 [size =\"12967936\"]\n  34 [size=\"31651840\", alpha=\"0.18\", expect_size=\"15825920\"] \n  34 -> 35 [size =\"15825920\"]\n  35 [size=\"24147968\", alpha=\"0.08\", expect_size=\"12073984\"] \n  35 -> 36 [size =\"12073984\"]\n  36 [size=\"70014976\", alpha=\"0.16\", expect_size=\"35007488\"] \n  36 -> 37 [size =\"35007488\"]\n  37 [size=\"59758592\", alpha=\"0.06\", expect_size=\"29879296\"] \n  37 -> 38 [size =\"29879296\"]\n  38 [size=\"47269888\", alpha=\"0.09\", expect_size=\"23634944\"] \n  38 -> 39 [size =\"23634944\"]\n  39 [size=\"82903040\", alpha=\"0.08\", expect_size=\"41451520\"] \n  39 -> 40 [size =\"41451520\"]\n  40 [size=\"89153536\", alpha=\"0.13\", expect_size=\"44576768\"] \n  40 -> 41 [size =\"44576768\"]\n  41 [size=\"92583936\", alpha=\"0.06\", expect_size=\"46291968\"] \n  41 -> 42 [size =\"46291968\"]\n  42 [size=\"66129920\", alpha=\"0.14\", expect_size=\"33064960\"] \n  42 -> 43 [size =\"33064960\"]\n  43 [size=\"87347200\", alpha=\"0.12\", expect_size=\"43673600\"] \n  43 -> 44 [size =\"43673600\"]\n  44 [size=\"67649536\", alpha=\"0.14\", expect_size=\"33824768\"] \n  44 -> 45 [size =\"33824768\"]\n  45 [size=\"58990592\", alpha=\"0.08\", expect_size=\"29495296\"] \n  45 -> 46 [size =\"29495296\"]\n  46 [size=\"97624064\", alpha=\"0.11\", expect_size=\"48812032\"] \n  46 -> 47 [size =\"48812032\"]\n  47 [size=\"78706688\", alpha=\"0.07\", expect_size=\"39353344\"] \n  47 -> 48 [size =\"39353344\"]\n  48 [size=\"10829824\", alpha=\"0.11\", expect_size=\"5414912\"] \n  48 -> 49 [size =\"5414912\"]\n  49 [size=\"53112832\", alpha=\"0.07\", expect_size=\"26556416\"] \n  49 -> 50 [size =\"26556416\"]\n  50 [size=\"93003776\", alpha=\"0.14\", expect_size=\"46501888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.449.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51646464\", alpha=\"0.08\", expect_size=\"25823232\"] \n  1 -> 42 [size =\"25823232\"]\n  1 -> 48 [size =\"25823232\"]\n  2 [size=\"55132160\", alpha=\"0.11\", expect_size=\"27566080\"] \n  2 -> 32 [size =\"27566080\"]\n  2 -> 33 [size =\"27566080\"]\n  2 -> 36 [size =\"27566080\"]\n  2 -> 38 [size =\"27566080\"]\n  2 -> 42 [size =\"27566080\"]\n  2 -> 43 [size =\"27566080\"]\n  2 -> 48 [size =\"27566080\"]\n  3 [size=\"39991296\", alpha=\"0.10\", expect_size=\"19995648\"] \n  3 -> 33 [size =\"19995648\"]\n  3 -> 36 [size =\"19995648\"]\n  3 -> 38 [size =\"19995648\"]\n  3 -> 40 [size =\"19995648\"]\n  3 -> 41 [size =\"19995648\"]\n  3 -> 42 [size =\"19995648\"]\n  3 -> 49 [size =\"19995648\"]\n  3 -> 50 [size =\"19995648\"]\n  4 [size=\"54321152\", alpha=\"0.16\", expect_size=\"27160576\"] \n  4 -> 33 [size =\"27160576\"]\n  4 -> 34 [size =\"27160576\"]\n  4 -> 36 [size =\"27160576\"]\n  4 -> 38 [size =\"27160576\"]\n  4 -> 40 [size =\"27160576\"]\n  4 -> 41 [size =\"27160576\"]\n  4 -> 42 [size =\"27160576\"]\n  4 -> 44 [size =\"27160576\"]\n  4 -> 47 [size =\"27160576\"]\n  4 -> 49 [size =\"27160576\"]\n  5 [size=\"35780608\", alpha=\"0.04\", expect_size=\"17890304\"] \n  5 -> 33 [size =\"17890304\"]\n  5 -> 35 [size =\"17890304\"]\n  5 -> 38 [size =\"17890304\"]\n  5 -> 41 [size =\"17890304\"]\n  5 -> 42 [size =\"17890304\"]\n  5 -> 43 [size =\"17890304\"]\n  5 -> 47 [size =\"17890304\"]\n  6 [size=\"60397568\", alpha=\"0.17\", expect_size=\"30198784\"] \n  6 -> 32 [size =\"30198784\"]\n  6 -> 41 [size =\"30198784\"]\n  6 -> 42 [size =\"30198784\"]\n  6 -> 47 [size =\"30198784\"]\n  6 -> 49 [size =\"30198784\"]\n  7 [size=\"103323648\", alpha=\"0.01\", expect_size=\"51661824\"] \n  7 -> 32 [size =\"51661824\"]\n  7 -> 40 [size =\"51661824\"]\n  7 -> 41 [size =\"51661824\"]\n  7 -> 42 [size =\"51661824\"]\n  7 -> 44 [size =\"51661824\"]\n  7 -> 47 [size =\"51661824\"]\n  7 -> 48 [size =\"51661824\"]\n  8 [size=\"54294528\", alpha=\"0.08\", expect_size=\"27147264\"] \n  8 -> 32 [size =\"27147264\"]\n  8 -> 34 [size =\"27147264\"]\n  8 -> 36 [size =\"27147264\"]\n  8 -> 37 [size =\"27147264\"]\n  8 -> 38 [size =\"27147264\"]\n  8 -> 40 [size =\"27147264\"]\n  8 -> 43 [size =\"27147264\"]\n  8 -> 46 [size =\"27147264\"]\n  8 -> 47 [size =\"27147264\"]\n  8 -> 49 [size =\"27147264\"]\n  8 -> 50 [size =\"27147264\"]\n  9 [size=\"29294592\", alpha=\"0.06\", expect_size=\"14647296\"] \n  9 -> 32 [size =\"14647296\"]\n  9 -> 33 [size =\"14647296\"]\n  9 -> 36 [size =\"14647296\"]\n  9 -> 38 [size =\"14647296\"]\n  9 -> 40 [size =\"14647296\"]\n  9 -> 40 [size =\"14647296\"]\n  9 -> 41 [size =\"14647296\"]\n  9 -> 43 [size =\"14647296\"]\n  9 -> 44 [size =\"14647296\"]\n  9 -> 47 [size =\"14647296\"]\n  9 -> 49 [size =\"14647296\"]\n  10 [size=\"29327360\", alpha=\"0.13\", expect_size=\"14663680\"] \n  10 -> 33 [size =\"14663680\"]\n  10 -> 34 [size =\"14663680\"]\n  10 -> 38 [size =\"14663680\"]\n  10 -> 41 [size =\"14663680\"]\n  10 -> 43 [size =\"14663680\"]\n  10 -> 44 [size =\"14663680\"]\n  10 -> 47 [size =\"14663680\"]\n  10 -> 49 [size =\"14663680\"]\n  11 [size=\"39159808\", alpha=\"0.04\", expect_size=\"19579904\"] \n  11 -> 32 [size =\"19579904\"]\n  11 -> 38 [size =\"19579904\"]\n  11 -> 38 [size =\"19579904\"]\n  11 -> 43 [size =\"19579904\"]\n  11 -> 47 [size =\"19579904\"]\n  12 [size=\"75393024\", alpha=\"0.11\", expect_size=\"37696512\"] \n  12 -> 35 [size =\"37696512\"]\n  12 -> 36 [size =\"37696512\"]\n  12 -> 38 [size =\"37696512\"]\n  12 -> 40 [size =\"37696512\"]\n  12 -> 43 [size =\"37696512\"]\n  12 -> 45 [size =\"37696512\"]\n  12 -> 46 [size =\"37696512\"]\n  12 -> 47 [size =\"37696512\"]\n  13 [size=\"33550336\", alpha=\"0.09\", expect_size=\"16775168\"] \n  13 -> 34 [size =\"16775168\"]\n  13 -> 36 [size =\"16775168\"]\n  13 -> 43 [size =\"16775168\"]\n  13 -> 45 [size =\"16775168\"]\n  13 -> 47 [size =\"16775168\"]\n  14 [size=\"80482304\", alpha=\"0.09\", expect_size=\"40241152\"] \n  14 -> 33 [size =\"40241152\"]\n  14 -> 41 [size =\"40241152\"]\n  14 -> 47 [size =\"40241152\"]\n  15 [size=\"63176704\", alpha=\"0.06\", expect_size=\"31588352\"] \n  15 -> 33 [size =\"31588352\"]\n  15 -> 40 [size =\"31588352\"]\n  15 -> 41 [size =\"31588352\"]\n  15 -> 47 [size =\"31588352\"]\n  16 [size=\"83607552\", alpha=\"0.11\", expect_size=\"41803776\"] \n  16 -> 32 [size =\"41803776\"]\n  16 -> 33 [size =\"41803776\"]\n  16 -> 34 [size =\"41803776\"]\n  16 -> 35 [size =\"41803776\"]\n  16 -> 36 [size =\"41803776\"]\n  16 -> 38 [size =\"41803776\"]\n  16 -> 40 [size =\"41803776\"]\n  16 -> 41 [size =\"41803776\"]\n  16 -> 42 [size =\"41803776\"]\n  16 -> 43 [size =\"41803776\"]\n  16 -> 44 [size =\"41803776\"]\n  16 -> 47 [size =\"41803776\"]\n  16 -> 49 [size =\"41803776\"]\n  17 [size=\"69877760\", alpha=\"0.07\", expect_size=\"34938880\"] \n  17 -> 32 [size =\"34938880\"]\n  17 -> 33 [size =\"34938880\"]\n  17 -> 34 [size =\"34938880\"]\n  17 -> 38 [size =\"34938880\"]\n  17 -> 40 [size =\"34938880\"]\n  17 -> 41 [size =\"34938880\"]\n  17 -> 43 [size =\"34938880\"]\n  17 -> 47 [size =\"34938880\"]\n  17 -> 48 [size =\"34938880\"]\n  18 [size=\"73912320\", alpha=\"0.09\", expect_size=\"36956160\"] \n  18 -> 32 [size =\"36956160\"]\n  18 -> 33 [size =\"36956160\"]\n  18 -> 34 [size =\"36956160\"]\n  18 -> 36 [size =\"36956160\"]\n  18 -> 38 [size =\"36956160\"]\n  18 -> 40 [size =\"36956160\"]\n  18 -> 41 [size =\"36956160\"]\n  18 -> 47 [size =\"36956160\"]\n  18 -> 50 [size =\"36956160\"]\n  19 [size=\"17391616\", alpha=\"0.12\", expect_size=\"8695808\"] \n  19 -> 32 [size =\"8695808\"]\n  19 -> 34 [size =\"8695808\"]\n  19 -> 35 [size =\"8695808\"]\n  19 -> 37 [size =\"8695808\"]\n  19 -> 38 [size =\"8695808\"]\n  19 -> 41 [size =\"8695808\"]\n  19 -> 42 [size =\"8695808\"]\n  19 -> 44 [size =\"8695808\"]\n  19 -> 47 [size =\"8695808\"]\n  19 -> 48 [size =\"8695808\"]\n  19 -> 50 [size =\"8695808\"]\n  20 [size=\"45467648\", alpha=\"0.04\", expect_size=\"22733824\"] \n  20 -> 32 [size =\"22733824\"]\n  20 -> 38 [size =\"22733824\"]\n  20 -> 41 [size =\"22733824\"]\n  20 -> 42 [size =\"22733824\"]\n  20 -> 45 [size =\"22733824\"]\n  20 -> 47 [size =\"22733824\"]\n  20 -> 50 [size =\"22733824\"]\n  21 [size=\"11925504\", alpha=\"0.05\", expect_size=\"5962752\"] \n  21 -> 32 [size =\"5962752\"]\n  21 -> 33 [size =\"5962752\"]\n  21 -> 34 [size =\"5962752\"]\n  21 -> 40 [size =\"5962752\"]\n  21 -> 41 [size =\"5962752\"]\n  21 -> 42 [size =\"5962752\"]\n  21 -> 47 [size =\"5962752\"]\n  22 [size=\"31125504\", alpha=\"0.15\", expect_size=\"15562752\"] \n  22 -> 32 [size =\"15562752\"]\n  22 -> 33 [size =\"15562752\"]\n  22 -> 36 [size =\"15562752\"]\n  22 -> 40 [size =\"15562752\"]\n  22 -> 42 [size =\"15562752\"]\n  22 -> 44 [size =\"15562752\"]\n  23 [size=\"80957440\", alpha=\"0.12\", expect_size=\"40478720\"] \n  23 -> 33 [size =\"40478720\"]\n  23 -> 38 [size =\"40478720\"]\n  23 -> 47 [size =\"40478720\"]\n  24 [size=\"27676672\", alpha=\"0.17\", expect_size=\"13838336\"] \n  24 -> 33 [size =\"13838336\"]\n  24 -> 34 [size =\"13838336\"]\n  24 -> 47 [size =\"13838336\"]\n  25 [size=\"68104192\", alpha=\"0.08\", expect_size=\"34052096\"] \n  25 -> 39 [size =\"34052096\"]\n  25 -> 42 [size =\"34052096\"]\n  25 -> 43 [size =\"34052096\"]\n  25 -> 44 [size =\"34052096\"]\n  25 -> 49 [size =\"34052096\"]\n  26 [size=\"97824768\", alpha=\"0.10\", expect_size=\"48912384\"] \n  26 -> 44 [size =\"48912384\"]\n  26 -> 47 [size =\"48912384\"]\n  27 [size=\"54568960\", alpha=\"0.11\", expect_size=\"27284480\"] \n  27 -> 38 [size =\"27284480\"]\n  27 -> 41 [size =\"27284480\"]\n  27 -> 42 [size =\"27284480\"]\n  27 -> 43 [size =\"27284480\"]\n  27 -> 44 [size =\"27284480\"]\n  28 [size=\"86747136\", alpha=\"0.02\", expect_size=\"43373568\"] \n  28 -> 36 [size =\"43373568\"]\n  28 -> 41 [size =\"43373568\"]\n  28 -> 42 [size =\"43373568\"]\n  28 -> 43 [size =\"43373568\"]\n  28 -> 44 [size =\"43373568\"]\n  28 -> 49 [size =\"43373568\"]\n  29 [size=\"34594816\", alpha=\"0.17\", expect_size=\"17297408\"] \n  29 -> 32 [size =\"17297408\"]\n  29 -> 40 [size =\"17297408\"]\n  29 -> 41 [size =\"17297408\"]\n  29 -> 42 [size =\"17297408\"]\n  29 -> 49 [size =\"17297408\"]\n  30 [size=\"91957248\", alpha=\"0.15\", expect_size=\"45978624\"] \n  30 -> 32 [size =\"45978624\"]\n  30 -> 33 [size =\"45978624\"]\n  30 -> 35 [size =\"45978624\"]\n  30 -> 36 [size =\"45978624\"]\n  30 -> 40 [size =\"45978624\"]\n  30 -> 41 [size =\"45978624\"]\n  30 -> 42 [size =\"45978624\"]\n  30 -> 47 [size =\"45978624\"]\n  30 -> 50 [size =\"45978624\"]\n  31 [size=\"17201152\", alpha=\"0.20\", expect_size=\"8600576\"] \n  31 -> 32 [size =\"8600576\"]\n  31 -> 33 [size =\"8600576\"]\n  31 -> 34 [size =\"8600576\"]\n  31 -> 36 [size =\"8600576\"]\n  31 -> 40 [size =\"8600576\"]\n  31 -> 41 [size =\"8600576\"]\n  31 -> 42 [size =\"8600576\"]\n  31 -> 43 [size =\"8600576\"]\n  32 [size=\"40232960\", alpha=\"0.18\", expect_size=\"20116480\"] \n  33 [size=\"16955392\", alpha=\"0.02\", expect_size=\"8477696\"] \n  34 [size=\"71247872\", alpha=\"0.20\", expect_size=\"35623936\"] \n  35 [size=\"58204160\", alpha=\"0.09\", expect_size=\"29102080\"] \n  36 [size=\"97488896\", alpha=\"0.14\", expect_size=\"48744448\"] \n  37 [size=\"50274304\", alpha=\"0.11\", expect_size=\"25137152\"] \n  38 [size=\"103770112\", alpha=\"0.02\", expect_size=\"51885056\"] \n  39 [size=\"18667520\", alpha=\"0.15\", expect_size=\"9333760\"] \n  40 [size=\"96894976\", alpha=\"0.14\", expect_size=\"48447488\"] \n  41 [size=\"74180608\", alpha=\"0.14\", expect_size=\"37090304\"] \n  42 [size=\"73568256\", alpha=\"0.19\", expect_size=\"36784128\"] \n  43 [size=\"65595392\", alpha=\"0.18\", expect_size=\"32797696\"] \n  44 [size=\"73326592\", alpha=\"0.01\", expect_size=\"36663296\"] \n  45 [size=\"72390656\", alpha=\"0.16\", expect_size=\"36195328\"] \n  46 [size=\"21102592\", alpha=\"0.10\", expect_size=\"10551296\"] \n  47 [size=\"86958080\", alpha=\"0.13\", expect_size=\"43479040\"] \n  48 [size=\"46235648\", alpha=\"0.12\", expect_size=\"23117824\"] \n  49 [size=\"56733696\", alpha=\"0.17\", expect_size=\"28366848\"] \n  50 [size=\"30986240\", alpha=\"0.18\", expect_size=\"15493120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81192960\", alpha=\"0.18\", expect_size=\"32477184\"] \n  1 -> 2 [size =\"32477184\"]\n  2 [size=\"67182080\", alpha=\"0.15\", expect_size=\"26872832\"] \n  2 -> 3 [size =\"26872832\"]\n  3 [size=\"124933120\", alpha=\"0.12\", expect_size=\"49973248\"] \n  3 -> 4 [size =\"49973248\"]\n  4 [size=\"74216960\", alpha=\"0.10\", expect_size=\"29686784\"] \n  4 -> 5 [size =\"29686784\"]\n  5 [size=\"42821120\", alpha=\"0.04\", expect_size=\"17128448\"] \n  5 -> 6 [size =\"17128448\"]\n  6 [size=\"106854400\", alpha=\"0.03\", expect_size=\"42741760\"] \n  6 -> 7 [size =\"42741760\"]\n  7 [size=\"67578880\", alpha=\"0.02\", expect_size=\"27031552\"] \n  7 -> 8 [size =\"27031552\"]\n  8 [size=\"62187520\", alpha=\"0.07\", expect_size=\"24875008\"] \n  8 -> 9 [size =\"24875008\"]\n  9 [size=\"48189440\", alpha=\"0.16\", expect_size=\"19275776\"] \n  9 -> 10 [size =\"19275776\"]\n  10 [size=\"126717440\", alpha=\"0.14\", expect_size=\"50686976\"] \n  10 -> 11 [size =\"50686976\"]\n  11 [size=\"111285760\", alpha=\"0.02\", expect_size=\"44514304\"] \n  11 -> 12 [size =\"44514304\"]\n  12 [size=\"101255680\", alpha=\"0.03\", expect_size=\"40502272\"] \n  12 -> 13 [size =\"40502272\"]\n  13 [size=\"74672640\", alpha=\"0.12\", expect_size=\"29869056\"] \n  13 -> 14 [size =\"29869056\"]\n  14 [size=\"28392960\", alpha=\"0.09\", expect_size=\"11357184\"] \n  14 -> 15 [size =\"11357184\"]\n  15 [size=\"88527360\", alpha=\"0.09\", expect_size=\"35410944\"] \n  15 -> 16 [size =\"35410944\"]\n  16 [size=\"114613760\", alpha=\"0.17\", expect_size=\"45845504\"] \n  16 -> 17 [size =\"45845504\"]\n  17 [size=\"17095680\", alpha=\"0.16\", expect_size=\"6838272\"] \n  17 -> 18 [size =\"6838272\"]\n  18 [size=\"28577280\", alpha=\"0.07\", expect_size=\"11430912\"] \n  18 -> 19 [size =\"11430912\"]\n  19 [size=\"68600320\", alpha=\"0.18\", expect_size=\"27440128\"] \n  19 -> 20 [size =\"27440128\"]\n  20 [size=\"46487040\", alpha=\"0.16\", expect_size=\"18594816\"] \n  20 -> 21 [size =\"18594816\"]\n  21 [size=\"128358400\", alpha=\"0.06\", expect_size=\"51343360\"] \n  21 -> 22 [size =\"51343360\"]\n  22 [size=\"24949760\", alpha=\"0.05\", expect_size=\"9979904\"] \n  22 -> 23 [size =\"9979904\"]\n  23 [size=\"42959360\", alpha=\"0.03\", expect_size=\"17183744\"] \n  23 -> 24 [size =\"17183744\"]\n  24 [size=\"115768320\", alpha=\"0.12\", expect_size=\"46307328\"] \n  24 -> 25 [size =\"46307328\"]\n  25 [size=\"48691200\", alpha=\"0.05\", expect_size=\"19476480\"] \n  25 -> 26 [size =\"19476480\"]\n  26 [size=\"101373440\", alpha=\"0.15\", expect_size=\"40549376\"] \n  26 -> 27 [size =\"40549376\"]\n  27 [size=\"83169280\", alpha=\"0.13\", expect_size=\"33267712\"] \n  27 -> 28 [size =\"33267712\"]\n  28 [size=\"61360640\", alpha=\"0.20\", expect_size=\"24544256\"] \n  28 -> 29 [size =\"24544256\"]\n  29 [size=\"100167680\", alpha=\"0.13\", expect_size=\"40067072\"] \n  29 -> 30 [size =\"40067072\"]\n  30 [size=\"88102400\", alpha=\"0.05\", expect_size=\"35240960\"] \n  30 -> 31 [size =\"35240960\"]\n  31 [size=\"66393600\", alpha=\"0.14\", expect_size=\"26557440\"] \n  31 -> 32 [size =\"26557440\"]\n  32 [size=\"103127040\", alpha=\"0.17\", expect_size=\"41250816\"] \n  32 -> 33 [size =\"41250816\"]\n  33 [size=\"16448000\", alpha=\"0.11\", expect_size=\"6579200\"] \n  33 -> 34 [size =\"6579200\"]\n  34 [size=\"36152320\", alpha=\"0.08\", expect_size=\"14460928\"] \n  34 -> 35 [size =\"14460928\"]\n  35 [size=\"105382400\", alpha=\"0.18\", expect_size=\"42152960\"] \n  35 -> 36 [size =\"42152960\"]\n  36 [size=\"17927680\", alpha=\"0.04\", expect_size=\"7171072\"] \n  36 -> 37 [size =\"7171072\"]\n  37 [size=\"103462400\", alpha=\"0.12\", expect_size=\"41384960\"] \n  37 -> 38 [size =\"41384960\"]\n  38 [size=\"62568960\", alpha=\"0.02\", expect_size=\"25027584\"] \n  38 -> 39 [size =\"25027584\"]\n  39 [size=\"62292480\", alpha=\"0.01\", expect_size=\"24916992\"] \n  39 -> 40 [size =\"24916992\"]\n  40 [size=\"19750400\", alpha=\"0.06\", expect_size=\"7900160\"] \n  40 -> 41 [size =\"7900160\"]\n  41 [size=\"48552960\", alpha=\"0.11\", expect_size=\"19421184\"] \n  41 -> 42 [size =\"19421184\"]\n  42 [size=\"128919040\", alpha=\"0.18\", expect_size=\"51567616\"] \n  42 -> 43 [size =\"51567616\"]\n  43 [size=\"113067520\", alpha=\"0.09\", expect_size=\"45227008\"] \n  43 -> 44 [size =\"45227008\"]\n  44 [size=\"62563840\", alpha=\"0.18\", expect_size=\"25025536\"] \n  44 -> 45 [size =\"25025536\"]\n  45 [size=\"110661120\", alpha=\"0.13\", expect_size=\"44264448\"] \n  45 -> 46 [size =\"44264448\"]\n  46 [size=\"96852480\", alpha=\"0.04\", expect_size=\"38740992\"] \n  46 -> 47 [size =\"38740992\"]\n  47 [size=\"122641920\", alpha=\"0.06\", expect_size=\"49056768\"] \n  47 -> 48 [size =\"49056768\"]\n  48 [size=\"74053120\", alpha=\"0.16\", expect_size=\"29621248\"] \n  48 -> 49 [size =\"29621248\"]\n  49 [size=\"84528640\", alpha=\"0.01\", expect_size=\"33811456\"] \n  49 -> 50 [size =\"33811456\"]\n  50 [size=\"91589120\", alpha=\"0.18\", expect_size=\"36635648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.450.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149326507\", alpha=\"0.19\", expect_size=\"44797952\"] \n  1 -> 2 [size =\"44797952\"]\n  2 [size=\"62194347\", alpha=\"0.00\", expect_size=\"18658304\"] \n  2 -> 3 [size =\"18658304\"]\n  3 [size=\"39642453\", alpha=\"0.01\", expect_size=\"11892736\"] \n  3 -> 4 [size =\"11892736\"]\n  4 [size=\"36276907\", alpha=\"0.08\", expect_size=\"10883072\"] \n  4 -> 5 [size =\"10883072\"]\n  5 [size=\"42762240\", alpha=\"0.15\", expect_size=\"12828672\"] \n  5 -> 6 [size =\"12828672\"]\n  6 [size=\"158958933\", alpha=\"0.11\", expect_size=\"47687680\"] \n  6 -> 7 [size =\"47687680\"]\n  7 [size=\"46250667\", alpha=\"0.04\", expect_size=\"13875200\"] \n  7 -> 8 [size =\"13875200\"]\n  8 [size=\"23869440\", alpha=\"0.14\", expect_size=\"7160832\"] \n  8 -> 9 [size =\"7160832\"]\n  9 [size=\"47506773\", alpha=\"0.09\", expect_size=\"14252032\"] \n  9 -> 10 [size =\"14252032\"]\n  10 [size=\"118657707\", alpha=\"0.04\", expect_size=\"35597312\"] \n  10 -> 11 [size =\"35597312\"]\n  11 [size=\"128269653\", alpha=\"0.13\", expect_size=\"38480896\"] \n  11 -> 12 [size =\"38480896\"]\n  12 [size=\"122538667\", alpha=\"0.15\", expect_size=\"36761600\"] \n  12 -> 13 [size =\"36761600\"]\n  13 [size=\"126115840\", alpha=\"0.19\", expect_size=\"37834752\"] \n  13 -> 14 [size =\"37834752\"]\n  14 [size=\"136587947\", alpha=\"0.00\", expect_size=\"40976384\"] \n  14 -> 15 [size =\"40976384\"]\n  15 [size=\"40567467\", alpha=\"0.16\", expect_size=\"12170240\"] \n  15 -> 16 [size =\"12170240\"]\n  16 [size=\"158870187\", alpha=\"0.03\", expect_size=\"47661056\"] \n  16 -> 17 [size =\"47661056\"]\n  17 [size=\"84565333\", alpha=\"0.02\", expect_size=\"25369600\"] \n  17 -> 18 [size =\"25369600\"]\n  18 [size=\"119852373\", alpha=\"0.04\", expect_size=\"35955712\"] \n  18 -> 19 [size =\"35955712\"]\n  19 [size=\"73748480\", alpha=\"0.18\", expect_size=\"22124544\"] \n  19 -> 20 [size =\"22124544\"]\n  20 [size=\"142612480\", alpha=\"0.05\", expect_size=\"42783744\"] \n  20 -> 21 [size =\"42783744\"]\n  21 [size=\"20404907\", alpha=\"0.10\", expect_size=\"6121472\"] \n  21 -> 22 [size =\"6121472\"]\n  22 [size=\"119999147\", alpha=\"0.19\", expect_size=\"35999744\"] \n  22 -> 23 [size =\"35999744\"]\n  23 [size=\"80029013\", alpha=\"0.12\", expect_size=\"24008704\"] \n  23 -> 24 [size =\"24008704\"]\n  24 [size=\"75796480\", alpha=\"0.07\", expect_size=\"22738944\"] \n  24 -> 25 [size =\"22738944\"]\n  25 [size=\"79387307\", alpha=\"0.05\", expect_size=\"23816192\"] \n  25 -> 26 [size =\"23816192\"]\n  26 [size=\"51834880\", alpha=\"0.01\", expect_size=\"15550464\"] \n  26 -> 27 [size =\"15550464\"]\n  27 [size=\"72349013\", alpha=\"0.01\", expect_size=\"21704704\"] \n  27 -> 28 [size =\"21704704\"]\n  28 [size=\"85804373\", alpha=\"0.02\", expect_size=\"25741312\"] \n  28 -> 29 [size =\"25741312\"]\n  29 [size=\"118111573\", alpha=\"0.06\", expect_size=\"35433472\"] \n  29 -> 30 [size =\"35433472\"]\n  30 [size=\"103802880\", alpha=\"0.04\", expect_size=\"31140864\"] \n  30 -> 31 [size =\"31140864\"]\n  31 [size=\"146995200\", alpha=\"0.15\", expect_size=\"44098560\"] \n  31 -> 32 [size =\"44098560\"]\n  32 [size=\"64969387\", alpha=\"0.20\", expect_size=\"19490816\"] \n  32 -> 33 [size =\"19490816\"]\n  33 [size=\"59733333\", alpha=\"0.18\", expect_size=\"17920000\"] \n  33 -> 34 [size =\"17920000\"]\n  34 [size=\"153453227\", alpha=\"0.12\", expect_size=\"46035968\"] \n  34 -> 35 [size =\"46035968\"]\n  35 [size=\"50363733\", alpha=\"0.09\", expect_size=\"15109120\"] \n  35 -> 36 [size =\"15109120\"]\n  36 [size=\"90316800\", alpha=\"0.03\", expect_size=\"27095040\"] \n  36 -> 37 [size =\"27095040\"]\n  37 [size=\"100232533\", alpha=\"0.07\", expect_size=\"30069760\"] \n  37 -> 38 [size =\"30069760\"]\n  38 [size=\"108885333\", alpha=\"0.03\", expect_size=\"32665600\"] \n  38 -> 39 [size =\"32665600\"]\n  39 [size=\"122668373\", alpha=\"0.06\", expect_size=\"36800512\"] \n  39 -> 40 [size =\"36800512\"]\n  40 [size=\"171618987\", alpha=\"0.06\", expect_size=\"51485696\"] \n  40 -> 41 [size =\"51485696\"]\n  41 [size=\"42345813\", alpha=\"0.05\", expect_size=\"12703744\"] \n  41 -> 42 [size =\"12703744\"]\n  42 [size=\"160215040\", alpha=\"0.18\", expect_size=\"48064512\"] \n  42 -> 43 [size =\"48064512\"]\n  43 [size=\"158433280\", alpha=\"0.18\", expect_size=\"47529984\"] \n  43 -> 44 [size =\"47529984\"]\n  44 [size=\"145640107\", alpha=\"0.07\", expect_size=\"43692032\"] \n  44 -> 45 [size =\"43692032\"]\n  45 [size=\"83664213\", alpha=\"0.02\", expect_size=\"25099264\"] \n  45 -> 46 [size =\"25099264\"]\n  46 [size=\"152879787\", alpha=\"0.03\", expect_size=\"45863936\"] \n  46 -> 47 [size =\"45863936\"]\n  47 [size=\"22824960\", alpha=\"0.10\", expect_size=\"6847488\"] \n  47 -> 48 [size =\"6847488\"]\n  48 [size=\"75165013\", alpha=\"0.06\", expect_size=\"22549504\"] \n  48 -> 49 [size =\"22549504\"]\n  49 [size=\"97699840\", alpha=\"0.15\", expect_size=\"29309952\"] \n  49 -> 50 [size =\"29309952\"]\n  50 [size=\"146705067\", alpha=\"0.15\", expect_size=\"44011520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.451.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12656640\", alpha=\"0.00\", expect_size=\"6328320\"] \n  1 -> 12 [size =\"6328320\"]\n  1 -> 13 [size =\"6328320\"]\n  2 [size=\"19761152\", alpha=\"0.00\", expect_size=\"9880576\"] \n  2 -> 8 [size =\"9880576\"]\n  2 -> 11 [size =\"9880576\"]\n  3 [size=\"31062016\", alpha=\"0.08\", expect_size=\"15531008\"] \n  3 -> 7 [size =\"15531008\"]\n  3 -> 10 [size =\"15531008\"]\n  3 -> 11 [size =\"15531008\"]\n  3 -> 12 [size =\"15531008\"]\n  4 [size=\"16750592\", alpha=\"0.10\", expect_size=\"8375296\"] \n  4 -> 7 [size =\"8375296\"]\n  4 -> 11 [size =\"8375296\"]\n  5 [size=\"81250304\", alpha=\"0.07\", expect_size=\"40625152\"] \n  5 -> 7 [size =\"40625152\"]\n  5 -> 9 [size =\"40625152\"]\n  5 -> 12 [size =\"40625152\"]\n  6 [size=\"50202624\", alpha=\"0.16\", expect_size=\"25101312\"] \n  6 -> 7 [size =\"25101312\"]\n  6 -> 11 [size =\"25101312\"]\n  6 -> 12 [size =\"25101312\"]\n  7 [size=\"58155008\", alpha=\"0.13\", expect_size=\"29077504\"] \n  7 -> 19 [size =\"29077504\"]\n  8 [size=\"49676288\", alpha=\"0.18\", expect_size=\"24838144\"] \n  8 -> 14 [size =\"24838144\"]\n  8 -> 15 [size =\"24838144\"]\n  8 -> 16 [size =\"24838144\"]\n  8 -> 18 [size =\"24838144\"]\n  8 -> 19 [size =\"24838144\"]\n  9 [size=\"25958400\", alpha=\"0.05\", expect_size=\"12979200\"] \n  9 -> 14 [size =\"12979200\"]\n  9 -> 15 [size =\"12979200\"]\n  9 -> 17 [size =\"12979200\"]\n  9 -> 18 [size =\"12979200\"]\n  9 -> 19 [size =\"12979200\"]\n  10 [size=\"83593216\", alpha=\"0.10\", expect_size=\"41796608\"] \n  10 -> 14 [size =\"41796608\"]\n  10 -> 16 [size =\"41796608\"]\n  11 [size=\"57690112\", alpha=\"0.04\", expect_size=\"28845056\"] \n  11 -> 15 [size =\"28845056\"]\n  11 -> 18 [size =\"28845056\"]\n  12 [size=\"59748352\", alpha=\"0.06\", expect_size=\"29874176\"] \n  13 [size=\"60475392\", alpha=\"0.10\", expect_size=\"30237696\"] \n  13 -> 18 [size =\"30237696\"]\n  14 [size=\"100470784\", alpha=\"0.10\", expect_size=\"50235392\"] \n  14 -> 20 [size =\"50235392\"]\n  14 -> 23 [size =\"50235392\"]\n  14 -> 24 [size =\"50235392\"]\n  14 -> 25 [size =\"50235392\"]\n  15 [size=\"51308544\", alpha=\"0.10\", expect_size=\"25654272\"] \n  15 -> 20 [size =\"25654272\"]\n  15 -> 21 [size =\"25654272\"]\n  16 [size=\"82147328\", alpha=\"0.10\", expect_size=\"41073664\"] \n  16 -> 20 [size =\"41073664\"]\n  16 -> 23 [size =\"41073664\"]\n  16 -> 25 [size =\"41073664\"]\n  17 [size=\"61931520\", alpha=\"0.18\", expect_size=\"30965760\"] \n  17 -> 20 [size =\"30965760\"]\n  17 -> 21 [size =\"30965760\"]\n  17 -> 22 [size =\"30965760\"]\n  17 -> 23 [size =\"30965760\"]\n  17 -> 24 [size =\"30965760\"]\n  17 -> 25 [size =\"30965760\"]\n  18 [size=\"26896384\", alpha=\"0.08\", expect_size=\"13448192\"] \n  18 -> 24 [size =\"13448192\"]\n  19 [size=\"17612800\", alpha=\"0.01\", expect_size=\"8806400\"] \n  19 -> 23 [size =\"8806400\"]\n  19 -> 25 [size =\"8806400\"]\n  20 [size=\"39487488\", alpha=\"0.11\", expect_size=\"19743744\"] \n  20 -> 28 [size =\"19743744\"]\n  20 -> 30 [size =\"19743744\"]\n  20 -> 31 [size =\"19743744\"]\n  20 -> 32 [size =\"19743744\"]\n  21 [size=\"85682176\", alpha=\"0.02\", expect_size=\"42841088\"] \n  21 -> 26 [size =\"42841088\"]\n  21 -> 27 [size =\"42841088\"]\n  21 -> 28 [size =\"42841088\"]\n  22 [size=\"12314624\", alpha=\"0.15\", expect_size=\"6157312\"] \n  22 -> 27 [size =\"6157312\"]\n  22 -> 28 [size =\"6157312\"]\n  22 -> 31 [size =\"6157312\"]\n  23 [size=\"41127936\", alpha=\"0.11\", expect_size=\"20563968\"] \n  23 -> 27 [size =\"20563968\"]\n  23 -> 29 [size =\"20563968\"]\n  23 -> 30 [size =\"20563968\"]\n  24 [size=\"89446400\", alpha=\"0.10\", expect_size=\"44723200\"] \n  24 -> 26 [size =\"44723200\"]\n  25 [size=\"41314304\", alpha=\"0.03\", expect_size=\"20657152\"] \n  25 -> 26 [size =\"20657152\"]\n  26 [size=\"86671360\", alpha=\"0.05\", expect_size=\"43335680\"] \n  26 -> 33 [size =\"43335680\"]\n  26 -> 34 [size =\"43335680\"]\n  26 -> 36 [size =\"43335680\"]\n  26 -> 37 [size =\"43335680\"]\n  26 -> 39 [size =\"43335680\"]\n  27 [size=\"37130240\", alpha=\"0.16\", expect_size=\"18565120\"] \n  27 -> 33 [size =\"18565120\"]\n  27 -> 34 [size =\"18565120\"]\n  27 -> 36 [size =\"18565120\"]\n  27 -> 37 [size =\"18565120\"]\n  27 -> 38 [size =\"18565120\"]\n  27 -> 39 [size =\"18565120\"]\n  28 [size=\"25948160\", alpha=\"0.16\", expect_size=\"12974080\"] \n  28 -> 33 [size =\"12974080\"]\n  28 -> 34 [size =\"12974080\"]\n  28 -> 35 [size =\"12974080\"]\n  28 -> 36 [size =\"12974080\"]\n  28 -> 37 [size =\"12974080\"]\n  29 [size=\"63961088\", alpha=\"0.20\", expect_size=\"31980544\"] \n  29 -> 33 [size =\"31980544\"]\n  29 -> 34 [size =\"31980544\"]\n  29 -> 35 [size =\"31980544\"]\n  29 -> 37 [size =\"31980544\"]\n  30 [size=\"69871616\", alpha=\"0.19\", expect_size=\"34935808\"] \n  30 -> 33 [size =\"34935808\"]\n  30 -> 34 [size =\"34935808\"]\n  30 -> 35 [size =\"34935808\"]\n  30 -> 37 [size =\"34935808\"]\n  30 -> 38 [size =\"34935808\"]\n  31 [size=\"29208576\", alpha=\"0.07\", expect_size=\"14604288\"] \n  31 -> 35 [size =\"14604288\"]\n  32 [size=\"38514688\", alpha=\"0.07\", expect_size=\"19257344\"] \n  32 -> 38 [size =\"19257344\"]\n  33 [size=\"12693504\", alpha=\"0.17\", expect_size=\"6346752\"] \n  33 -> 44 [size =\"6346752\"]\n  34 [size=\"66693120\", alpha=\"0.06\", expect_size=\"33346560\"] \n  34 -> 42 [size =\"33346560\"]\n  34 -> 44 [size =\"33346560\"]\n  35 [size=\"18036736\", alpha=\"0.03\", expect_size=\"9018368\"] \n  35 -> 40 [size =\"9018368\"]\n  35 -> 41 [size =\"9018368\"]\n  35 -> 42 [size =\"9018368\"]\n  35 -> 43 [size =\"9018368\"]\n  35 -> 44 [size =\"9018368\"]\n  36 [size=\"31862784\", alpha=\"0.16\", expect_size=\"15931392\"] \n  36 -> 41 [size =\"15931392\"]\n  36 -> 41 [size =\"15931392\"]\n  36 -> 42 [size =\"15931392\"]\n  36 -> 44 [size =\"15931392\"]\n  37 [size=\"53514240\", alpha=\"0.20\", expect_size=\"26757120\"] \n  37 -> 40 [size =\"26757120\"]\n  37 -> 41 [size =\"26757120\"]\n  37 -> 45 [size =\"26757120\"]\n  38 [size=\"36292608\", alpha=\"0.07\", expect_size=\"18146304\"] \n  38 -> 40 [size =\"18146304\"]\n  38 -> 43 [size =\"18146304\"]\n  39 [size=\"19386368\", alpha=\"0.15\", expect_size=\"9693184\"] \n  39 -> 42 [size =\"9693184\"]\n  39 -> 43 [size =\"9693184\"]\n  40 [size=\"18268160\", alpha=\"0.10\", expect_size=\"9134080\"] \n  40 -> 46 [size =\"9134080\"]\n  41 [size=\"11675648\", alpha=\"0.01\", expect_size=\"5837824\"] \n  41 -> 46 [size =\"5837824\"]\n  42 [size=\"46815232\", alpha=\"0.12\", expect_size=\"23407616\"] \n  43 [size=\"78577664\", alpha=\"0.10\", expect_size=\"39288832\"] \n  43 -> 48 [size =\"39288832\"]\n  44 [size=\"62582784\", alpha=\"0.04\", expect_size=\"31291392\"] \n  44 -> 46 [size =\"31291392\"]\n  44 -> 47 [size =\"31291392\"]\n  44 -> 50 [size =\"31291392\"]\n  45 [size=\"88815616\", alpha=\"0.05\", expect_size=\"44407808\"] \n  45 -> 46 [size =\"44407808\"]\n  45 -> 49 [size =\"44407808\"]\n  46 [size=\"103729152\", alpha=\"0.02\", expect_size=\"51864576\"] \n  47 [size=\"84615168\", alpha=\"0.05\", expect_size=\"42307584\"] \n  48 [size=\"82921472\", alpha=\"0.11\", expect_size=\"41460736\"] \n  49 [size=\"20686848\", alpha=\"0.08\", expect_size=\"10343424\"] \n  50 [size=\"93782016\", alpha=\"0.18\", expect_size=\"46891008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.452.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33601536\", alpha=\"0.10\", expect_size=\"16800768\"] \n  1 -> 35 [size =\"16800768\"]\n  1 -> 35 [size =\"16800768\"]\n  1 -> 36 [size =\"16800768\"]\n  1 -> 40 [size =\"16800768\"]\n  1 -> 42 [size =\"16800768\"]\n  1 -> 43 [size =\"16800768\"]\n  1 -> 45 [size =\"16800768\"]\n  1 -> 46 [size =\"16800768\"]\n  1 -> 48 [size =\"16800768\"]\n  1 -> 49 [size =\"16800768\"]\n  1 -> 50 [size =\"16800768\"]\n  2 [size=\"37830656\", alpha=\"0.06\", expect_size=\"18915328\"] \n  2 -> 35 [size =\"18915328\"]\n  2 -> 37 [size =\"18915328\"]\n  2 -> 38 [size =\"18915328\"]\n  2 -> 42 [size =\"18915328\"]\n  2 -> 43 [size =\"18915328\"]\n  2 -> 43 [size =\"18915328\"]\n  2 -> 45 [size =\"18915328\"]\n  2 -> 48 [size =\"18915328\"]\n  2 -> 49 [size =\"18915328\"]\n  2 -> 50 [size =\"18915328\"]\n  2 -> 50 [size =\"18915328\"]\n  3 [size=\"70496256\", alpha=\"0.01\", expect_size=\"35248128\"] \n  3 -> 37 [size =\"35248128\"]\n  3 -> 39 [size =\"35248128\"]\n  3 -> 41 [size =\"35248128\"]\n  3 -> 43 [size =\"35248128\"]\n  3 -> 43 [size =\"35248128\"]\n  3 -> 45 [size =\"35248128\"]\n  3 -> 45 [size =\"35248128\"]\n  3 -> 50 [size =\"35248128\"]\n  4 [size=\"97730560\", alpha=\"0.02\", expect_size=\"48865280\"] \n  4 -> 35 [size =\"48865280\"]\n  4 -> 39 [size =\"48865280\"]\n  4 -> 41 [size =\"48865280\"]\n  4 -> 42 [size =\"48865280\"]\n  4 -> 43 [size =\"48865280\"]\n  4 -> 50 [size =\"48865280\"]\n  5 [size=\"29759488\", alpha=\"0.06\", expect_size=\"14879744\"] \n  5 -> 34 [size =\"14879744\"]\n  5 -> 35 [size =\"14879744\"]\n  5 -> 36 [size =\"14879744\"]\n  5 -> 41 [size =\"14879744\"]\n  5 -> 43 [size =\"14879744\"]\n  5 -> 47 [size =\"14879744\"]\n  5 -> 48 [size =\"14879744\"]\n  5 -> 49 [size =\"14879744\"]\n  5 -> 50 [size =\"14879744\"]\n  6 [size=\"19787776\", alpha=\"0.16\", expect_size=\"9893888\"] \n  6 -> 35 [size =\"9893888\"]\n  6 -> 41 [size =\"9893888\"]\n  6 -> 43 [size =\"9893888\"]\n  6 -> 47 [size =\"9893888\"]\n  6 -> 48 [size =\"9893888\"]\n  6 -> 49 [size =\"9893888\"]\n  7 [size=\"48136192\", alpha=\"0.05\", expect_size=\"24068096\"] \n  7 -> 35 [size =\"24068096\"]\n  7 -> 40 [size =\"24068096\"]\n  7 -> 43 [size =\"24068096\"]\n  7 -> 48 [size =\"24068096\"]\n  8 [size=\"73555968\", alpha=\"0.15\", expect_size=\"36777984\"] \n  8 -> 35 [size =\"36777984\"]\n  8 -> 40 [size =\"36777984\"]\n  8 -> 41 [size =\"36777984\"]\n  8 -> 43 [size =\"36777984\"]\n  8 -> 48 [size =\"36777984\"]\n  9 [size=\"98324480\", alpha=\"0.06\", expect_size=\"49162240\"] \n  9 -> 33 [size =\"49162240\"]\n  9 -> 35 [size =\"49162240\"]\n  9 -> 39 [size =\"49162240\"]\n  9 -> 41 [size =\"49162240\"]\n  9 -> 42 [size =\"49162240\"]\n  9 -> 43 [size =\"49162240\"]\n  9 -> 45 [size =\"49162240\"]\n  9 -> 49 [size =\"49162240\"]\n  9 -> 50 [size =\"49162240\"]\n  10 [size=\"62392320\", alpha=\"0.16\", expect_size=\"31196160\"] \n  10 -> 39 [size =\"31196160\"]\n  10 -> 42 [size =\"31196160\"]\n  10 -> 43 [size =\"31196160\"]\n  10 -> 45 [size =\"31196160\"]\n  10 -> 49 [size =\"31196160\"]\n  11 [size=\"22364160\", alpha=\"0.15\", expect_size=\"11182080\"] \n  11 -> 35 [size =\"11182080\"]\n  11 -> 39 [size =\"11182080\"]\n  11 -> 41 [size =\"11182080\"]\n  11 -> 42 [size =\"11182080\"]\n  11 -> 43 [size =\"11182080\"]\n  11 -> 45 [size =\"11182080\"]\n  11 -> 49 [size =\"11182080\"]\n  11 -> 50 [size =\"11182080\"]\n  12 [size=\"67643392\", alpha=\"0.15\", expect_size=\"33821696\"] \n  12 -> 34 [size =\"33821696\"]\n  12 -> 35 [size =\"33821696\"]\n  12 -> 37 [size =\"33821696\"]\n  12 -> 39 [size =\"33821696\"]\n  12 -> 41 [size =\"33821696\"]\n  12 -> 42 [size =\"33821696\"]\n  12 -> 43 [size =\"33821696\"]\n  12 -> 45 [size =\"33821696\"]\n  12 -> 50 [size =\"33821696\"]\n  13 [size=\"97523712\", alpha=\"0.03\", expect_size=\"48761856\"] \n  13 -> 35 [size =\"48761856\"]\n  13 -> 36 [size =\"48761856\"]\n  13 -> 39 [size =\"48761856\"]\n  13 -> 42 [size =\"48761856\"]\n  13 -> 43 [size =\"48761856\"]\n  13 -> 45 [size =\"48761856\"]\n  13 -> 47 [size =\"48761856\"]\n  13 -> 50 [size =\"48761856\"]\n  14 [size=\"101457920\", alpha=\"0.11\", expect_size=\"50728960\"] \n  14 -> 39 [size =\"50728960\"]\n  14 -> 42 [size =\"50728960\"]\n  14 -> 45 [size =\"50728960\"]\n  14 -> 50 [size =\"50728960\"]\n  15 [size=\"17670144\", alpha=\"0.03\", expect_size=\"8835072\"] \n  15 -> 33 [size =\"8835072\"]\n  15 -> 34 [size =\"8835072\"]\n  15 -> 35 [size =\"8835072\"]\n  15 -> 36 [size =\"8835072\"]\n  15 -> 39 [size =\"8835072\"]\n  15 -> 41 [size =\"8835072\"]\n  15 -> 42 [size =\"8835072\"]\n  15 -> 45 [size =\"8835072\"]\n  15 -> 49 [size =\"8835072\"]\n  16 [size=\"44828672\", alpha=\"0.01\", expect_size=\"22414336\"] \n  16 -> 35 [size =\"22414336\"]\n  16 -> 36 [size =\"22414336\"]\n  16 -> 38 [size =\"22414336\"]\n  16 -> 42 [size =\"22414336\"]\n  16 -> 43 [size =\"22414336\"]\n  16 -> 45 [size =\"22414336\"]\n  16 -> 46 [size =\"22414336\"]\n  16 -> 49 [size =\"22414336\"]\n  16 -> 50 [size =\"22414336\"]\n  17 [size=\"26267648\", alpha=\"0.03\", expect_size=\"13133824\"] \n  17 -> 34 [size =\"13133824\"]\n  17 -> 35 [size =\"13133824\"]\n  17 -> 36 [size =\"13133824\"]\n  17 -> 37 [size =\"13133824\"]\n  17 -> 39 [size =\"13133824\"]\n  17 -> 40 [size =\"13133824\"]\n  17 -> 42 [size =\"13133824\"]\n  17 -> 43 [size =\"13133824\"]\n  17 -> 45 [size =\"13133824\"]\n  17 -> 46 [size =\"13133824\"]\n  17 -> 49 [size =\"13133824\"]\n  17 -> 50 [size =\"13133824\"]\n  18 [size=\"48228352\", alpha=\"0.02\", expect_size=\"24114176\"] \n  18 -> 33 [size =\"24114176\"]\n  18 -> 35 [size =\"24114176\"]\n  18 -> 36 [size =\"24114176\"]\n  18 -> 40 [size =\"24114176\"]\n  18 -> 42 [size =\"24114176\"]\n  18 -> 43 [size =\"24114176\"]\n  18 -> 45 [size =\"24114176\"]\n  18 -> 46 [size =\"24114176\"]\n  18 -> 50 [size =\"24114176\"]\n  19 [size=\"24100864\", alpha=\"0.18\", expect_size=\"12050432\"] \n  19 -> 34 [size =\"12050432\"]\n  19 -> 35 [size =\"12050432\"]\n  19 -> 36 [size =\"12050432\"]\n  19 -> 39 [size =\"12050432\"]\n  19 -> 40 [size =\"12050432\"]\n  19 -> 42 [size =\"12050432\"]\n  19 -> 45 [size =\"12050432\"]\n  19 -> 50 [size =\"12050432\"]\n  20 [size=\"53669888\", alpha=\"0.03\", expect_size=\"26834944\"] \n  20 -> 33 [size =\"26834944\"]\n  20 -> 34 [size =\"26834944\"]\n  20 -> 35 [size =\"26834944\"]\n  20 -> 36 [size =\"26834944\"]\n  20 -> 39 [size =\"26834944\"]\n  20 -> 45 [size =\"26834944\"]\n  20 -> 46 [size =\"26834944\"]\n  20 -> 49 [size =\"26834944\"]\n  20 -> 50 [size =\"26834944\"]\n  21 [size=\"35018752\", alpha=\"0.13\", expect_size=\"17509376\"] \n  21 -> 33 [size =\"17509376\"]\n  21 -> 35 [size =\"17509376\"]\n  21 -> 36 [size =\"17509376\"]\n  21 -> 36 [size =\"17509376\"]\n  21 -> 37 [size =\"17509376\"]\n  21 -> 38 [size =\"17509376\"]\n  21 -> 40 [size =\"17509376\"]\n  21 -> 45 [size =\"17509376\"]\n  21 -> 46 [size =\"17509376\"]\n  21 -> 49 [size =\"17509376\"]\n  21 -> 50 [size =\"17509376\"]\n  22 [size=\"13508608\", alpha=\"0.08\", expect_size=\"6754304\"] \n  22 -> 37 [size =\"6754304\"]\n  22 -> 39 [size =\"6754304\"]\n  22 -> 43 [size =\"6754304\"]\n  22 -> 45 [size =\"6754304\"]\n  22 -> 50 [size =\"6754304\"]\n  23 [size=\"84389888\", alpha=\"0.17\", expect_size=\"42194944\"] \n  23 -> 36 [size =\"42194944\"]\n  23 -> 39 [size =\"42194944\"]\n  23 -> 43 [size =\"42194944\"]\n  23 -> 45 [size =\"42194944\"]\n  23 -> 47 [size =\"42194944\"]\n  23 -> 49 [size =\"42194944\"]\n  23 -> 50 [size =\"42194944\"]\n  24 [size=\"98801664\", alpha=\"0.04\", expect_size=\"49400832\"] \n  24 -> 35 [size =\"49400832\"]\n  24 -> 37 [size =\"49400832\"]\n  24 -> 39 [size =\"49400832\"]\n  24 -> 45 [size =\"49400832\"]\n  24 -> 49 [size =\"49400832\"]\n  24 -> 50 [size =\"49400832\"]\n  25 [size=\"55136256\", alpha=\"0.15\", expect_size=\"27568128\"] \n  25 -> 33 [size =\"27568128\"]\n  25 -> 34 [size =\"27568128\"]\n  25 -> 35 [size =\"27568128\"]\n  25 -> 36 [size =\"27568128\"]\n  25 -> 39 [size =\"27568128\"]\n  25 -> 42 [size =\"27568128\"]\n  25 -> 44 [size =\"27568128\"]\n  25 -> 45 [size =\"27568128\"]\n  25 -> 49 [size =\"27568128\"]\n  26 [size=\"70481920\", alpha=\"0.08\", expect_size=\"35240960\"] \n  26 -> 33 [size =\"35240960\"]\n  26 -> 34 [size =\"35240960\"]\n  26 -> 35 [size =\"35240960\"]\n  26 -> 36 [size =\"35240960\"]\n  26 -> 37 [size =\"35240960\"]\n  26 -> 39 [size =\"35240960\"]\n  26 -> 44 [size =\"35240960\"]\n  26 -> 45 [size =\"35240960\"]\n  26 -> 49 [size =\"35240960\"]\n  26 -> 50 [size =\"35240960\"]\n  27 [size=\"72990720\", alpha=\"0.09\", expect_size=\"36495360\"] \n  27 -> 34 [size =\"36495360\"]\n  27 -> 35 [size =\"36495360\"]\n  27 -> 35 [size =\"36495360\"]\n  27 -> 36 [size =\"36495360\"]\n  27 -> 39 [size =\"36495360\"]\n  27 -> 39 [size =\"36495360\"]\n  27 -> 42 [size =\"36495360\"]\n  27 -> 43 [size =\"36495360\"]\n  27 -> 45 [size =\"36495360\"]\n  27 -> 49 [size =\"36495360\"]\n  28 [size=\"84844544\", alpha=\"0.04\", expect_size=\"42422272\"] \n  28 -> 34 [size =\"42422272\"]\n  28 -> 35 [size =\"42422272\"]\n  28 -> 36 [size =\"42422272\"]\n  28 -> 37 [size =\"42422272\"]\n  28 -> 39 [size =\"42422272\"]\n  28 -> 42 [size =\"42422272\"]\n  28 -> 42 [size =\"42422272\"]\n  28 -> 45 [size =\"42422272\"]\n  28 -> 45 [size =\"42422272\"]\n  28 -> 49 [size =\"42422272\"]\n  29 [size=\"92364800\", alpha=\"0.17\", expect_size=\"46182400\"] \n  29 -> 34 [size =\"46182400\"]\n  29 -> 36 [size =\"46182400\"]\n  29 -> 37 [size =\"46182400\"]\n  29 -> 39 [size =\"46182400\"]\n  29 -> 42 [size =\"46182400\"]\n  29 -> 45 [size =\"46182400\"]\n  29 -> 50 [size =\"46182400\"]\n  30 [size=\"80875520\", alpha=\"0.01\", expect_size=\"40437760\"] \n  30 -> 33 [size =\"40437760\"]\n  30 -> 35 [size =\"40437760\"]\n  30 -> 39 [size =\"40437760\"]\n  30 -> 40 [size =\"40437760\"]\n  30 -> 45 [size =\"40437760\"]\n  30 -> 47 [size =\"40437760\"]\n  30 -> 49 [size =\"40437760\"]\n  31 [size=\"93487104\", alpha=\"0.07\", expect_size=\"46743552\"] \n  31 -> 35 [size =\"46743552\"]\n  31 -> 37 [size =\"46743552\"]\n  31 -> 40 [size =\"46743552\"]\n  31 -> 43 [size =\"46743552\"]\n  31 -> 45 [size =\"46743552\"]\n  31 -> 46 [size =\"46743552\"]\n  32 [size=\"58941440\", alpha=\"0.06\", expect_size=\"29470720\"] \n  32 -> 33 [size =\"29470720\"]\n  32 -> 35 [size =\"29470720\"]\n  32 -> 39 [size =\"29470720\"]\n  32 -> 42 [size =\"29470720\"]\n  32 -> 43 [size =\"29470720\"]\n  32 -> 45 [size =\"29470720\"]\n  32 -> 47 [size =\"29470720\"]\n  32 -> 50 [size =\"29470720\"]\n  33 [size=\"98961408\", alpha=\"0.03\", expect_size=\"49480704\"] \n  34 [size=\"84809728\", alpha=\"0.19\", expect_size=\"42404864\"] \n  35 [size=\"103733248\", alpha=\"0.17\", expect_size=\"51866624\"] \n  36 [size=\"80633856\", alpha=\"0.02\", expect_size=\"40316928\"] \n  37 [size=\"24815616\", alpha=\"0.11\", expect_size=\"12407808\"] \n  38 [size=\"68302848\", alpha=\"0.08\", expect_size=\"34151424\"] \n  39 [size=\"85420032\", alpha=\"0.07\", expect_size=\"42710016\"] \n  40 [size=\"69636096\", alpha=\"0.16\", expect_size=\"34818048\"] \n  41 [size=\"72857600\", alpha=\"0.09\", expect_size=\"36428800\"] \n  42 [size=\"12593152\", alpha=\"0.04\", expect_size=\"6296576\"] \n  43 [size=\"40372224\", alpha=\"0.14\", expect_size=\"20186112\"] \n  44 [size=\"54493184\", alpha=\"0.03\", expect_size=\"27246592\"] \n  45 [size=\"51552256\", alpha=\"0.01\", expect_size=\"25776128\"] \n  46 [size=\"38739968\", alpha=\"0.12\", expect_size=\"19369984\"] \n  47 [size=\"50401280\", alpha=\"0.16\", expect_size=\"25200640\"] \n  48 [size=\"102313984\", alpha=\"0.16\", expect_size=\"51156992\"] \n  49 [size=\"43481088\", alpha=\"0.13\", expect_size=\"21740544\"] \n  50 [size=\"76261376\", alpha=\"0.06\", expect_size=\"38130688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.453.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151650987\", alpha=\"0.14\", expect_size=\"45495296\"] \n  1 -> 22 [size =\"45495296\"]\n  1 -> 23 [size =\"45495296\"]\n  1 -> 25 [size =\"45495296\"]\n  1 -> 28 [size =\"45495296\"]\n  2 [size=\"161078613\", alpha=\"0.12\", expect_size=\"48323584\"] \n  2 -> 13 [size =\"48323584\"]\n  2 -> 15 [size =\"48323584\"]\n  2 -> 25 [size =\"48323584\"]\n  2 -> 26 [size =\"48323584\"]\n  2 -> 27 [size =\"48323584\"]\n  2 -> 29 [size =\"48323584\"]\n  3 [size=\"28235093\", alpha=\"0.04\", expect_size=\"8470528\"] \n  3 -> 20 [size =\"8470528\"]\n  3 -> 22 [size =\"8470528\"]\n  3 -> 25 [size =\"8470528\"]\n  4 [size=\"131543040\", alpha=\"0.01\", expect_size=\"39462912\"] \n  4 -> 14 [size =\"39462912\"]\n  4 -> 18 [size =\"39462912\"]\n  4 -> 20 [size =\"39462912\"]\n  4 -> 22 [size =\"39462912\"]\n  4 -> 27 [size =\"39462912\"]\n  4 -> 28 [size =\"39462912\"]\n  5 [size=\"121702400\", alpha=\"0.15\", expect_size=\"36510720\"] \n  5 -> 14 [size =\"36510720\"]\n  5 -> 22 [size =\"36510720\"]\n  6 [size=\"118340267\", alpha=\"0.05\", expect_size=\"35502080\"] \n  6 -> 14 [size =\"35502080\"]\n  6 -> 16 [size =\"35502080\"]\n  6 -> 20 [size =\"35502080\"]\n  6 -> 28 [size =\"35502080\"]\n  6 -> 29 [size =\"35502080\"]\n  7 [size=\"41987413\", alpha=\"0.09\", expect_size=\"12596224\"] \n  7 -> 15 [size =\"12596224\"]\n  7 -> 23 [size =\"12596224\"]\n  8 [size=\"131406507\", alpha=\"0.14\", expect_size=\"39421952\"] \n  8 -> 16 [size =\"39421952\"]\n  8 -> 23 [size =\"39421952\"]\n  8 -> 25 [size =\"39421952\"]\n  8 -> 26 [size =\"39421952\"]\n  8 -> 28 [size =\"39421952\"]\n  9 [size=\"21326507\", alpha=\"0.00\", expect_size=\"6397952\"] \n  9 -> 14 [size =\"6397952\"]\n  9 -> 16 [size =\"6397952\"]\n  9 -> 23 [size =\"6397952\"]\n  9 -> 24 [size =\"6397952\"]\n  9 -> 28 [size =\"6397952\"]\n  9 -> 29 [size =\"6397952\"]\n  10 [size=\"54582613\", alpha=\"0.18\", expect_size=\"16374784\"] \n  10 -> 14 [size =\"16374784\"]\n  10 -> 16 [size =\"16374784\"]\n  10 -> 17 [size =\"16374784\"]\n  10 -> 21 [size =\"16374784\"]\n  10 -> 22 [size =\"16374784\"]\n  10 -> 29 [size =\"16374784\"]\n  11 [size=\"151575893\", alpha=\"0.02\", expect_size=\"45472768\"] \n  11 -> 13 [size =\"45472768\"]\n  11 -> 24 [size =\"45472768\"]\n  11 -> 25 [size =\"45472768\"]\n  11 -> 29 [size =\"45472768\"]\n  11 -> 30 [size =\"45472768\"]\n  12 [size=\"105833813\", alpha=\"0.17\", expect_size=\"31750144\"] \n  12 -> 13 [size =\"31750144\"]\n  12 -> 16 [size =\"31750144\"]\n  12 -> 19 [size =\"31750144\"]\n  12 -> 22 [size =\"31750144\"]\n  12 -> 23 [size =\"31750144\"]\n  12 -> 25 [size =\"31750144\"]\n  12 -> 26 [size =\"31750144\"]\n  13 [size=\"39877973\", alpha=\"0.12\", expect_size=\"11963392\"] \n  13 -> 31 [size =\"11963392\"]\n  13 -> 38 [size =\"11963392\"]\n  13 -> 41 [size =\"11963392\"]\n  13 -> 42 [size =\"11963392\"]\n  13 -> 44 [size =\"11963392\"]\n  13 -> 48 [size =\"11963392\"]\n  14 [size=\"71150933\", alpha=\"0.06\", expect_size=\"21345280\"] \n  14 -> 31 [size =\"21345280\"]\n  14 -> 32 [size =\"21345280\"]\n  14 -> 33 [size =\"21345280\"]\n  14 -> 37 [size =\"21345280\"]\n  14 -> 39 [size =\"21345280\"]\n  14 -> 44 [size =\"21345280\"]\n  14 -> 47 [size =\"21345280\"]\n  15 [size=\"80325973\", alpha=\"0.09\", expect_size=\"24097792\"] \n  15 -> 31 [size =\"24097792\"]\n  15 -> 32 [size =\"24097792\"]\n  15 -> 33 [size =\"24097792\"]\n  15 -> 35 [size =\"24097792\"]\n  15 -> 37 [size =\"24097792\"]\n  15 -> 40 [size =\"24097792\"]\n  15 -> 42 [size =\"24097792\"]\n  15 -> 44 [size =\"24097792\"]\n  15 -> 46 [size =\"24097792\"]\n  16 [size=\"43653120\", alpha=\"0.00\", expect_size=\"13095936\"] \n  16 -> 31 [size =\"13095936\"]\n  16 -> 32 [size =\"13095936\"]\n  16 -> 37 [size =\"13095936\"]\n  16 -> 41 [size =\"13095936\"]\n  16 -> 43 [size =\"13095936\"]\n  16 -> 44 [size =\"13095936\"]\n  16 -> 45 [size =\"13095936\"]\n  17 [size=\"79360000\", alpha=\"0.19\", expect_size=\"23808000\"] \n  17 -> 31 [size =\"23808000\"]\n  17 -> 33 [size =\"23808000\"]\n  17 -> 37 [size =\"23808000\"]\n  17 -> 38 [size =\"23808000\"]\n  17 -> 39 [size =\"23808000\"]\n  17 -> 41 [size =\"23808000\"]\n  17 -> 44 [size =\"23808000\"]\n  17 -> 46 [size =\"23808000\"]\n  17 -> 47 [size =\"23808000\"]\n  18 [size=\"147985067\", alpha=\"0.16\", expect_size=\"44395520\"] \n  18 -> 31 [size =\"44395520\"]\n  18 -> 36 [size =\"44395520\"]\n  18 -> 42 [size =\"44395520\"]\n  18 -> 43 [size =\"44395520\"]\n  18 -> 44 [size =\"44395520\"]\n  18 -> 45 [size =\"44395520\"]\n  19 [size=\"103430827\", alpha=\"0.00\", expect_size=\"31029248\"] \n  19 -> 31 [size =\"31029248\"]\n  19 -> 42 [size =\"31029248\"]\n  19 -> 45 [size =\"31029248\"]\n  20 [size=\"106468693\", alpha=\"0.02\", expect_size=\"31940608\"] \n  20 -> 38 [size =\"31940608\"]\n  20 -> 45 [size =\"31940608\"]\n  21 [size=\"86807893\", alpha=\"0.02\", expect_size=\"26042368\"] \n  21 -> 38 [size =\"26042368\"]\n  21 -> 39 [size =\"26042368\"]\n  22 [size=\"104540160\", alpha=\"0.19\", expect_size=\"31362048\"] \n  22 -> 32 [size =\"31362048\"]\n  22 -> 33 [size =\"31362048\"]\n  22 -> 34 [size =\"31362048\"]\n  22 -> 42 [size =\"31362048\"]\n  22 -> 44 [size =\"31362048\"]\n  23 [size=\"83616427\", alpha=\"0.18\", expect_size=\"25084928\"] \n  23 -> 37 [size =\"25084928\"]\n  23 -> 39 [size =\"25084928\"]\n  23 -> 40 [size =\"25084928\"]\n  23 -> 42 [size =\"25084928\"]\n  23 -> 48 [size =\"25084928\"]\n  24 [size=\"24456533\", alpha=\"0.11\", expect_size=\"7336960\"] \n  24 -> 32 [size =\"7336960\"]\n  24 -> 33 [size =\"7336960\"]\n  24 -> 39 [size =\"7336960\"]\n  24 -> 41 [size =\"7336960\"]\n  24 -> 42 [size =\"7336960\"]\n  24 -> 43 [size =\"7336960\"]\n  24 -> 48 [size =\"7336960\"]\n  25 [size=\"74997760\", alpha=\"0.18\", expect_size=\"22499328\"] \n  25 -> 32 [size =\"22499328\"]\n  25 -> 33 [size =\"22499328\"]\n  25 -> 36 [size =\"22499328\"]\n  25 -> 40 [size =\"22499328\"]\n  25 -> 43 [size =\"22499328\"]\n  26 [size=\"147380907\", alpha=\"0.17\", expect_size=\"44214272\"] \n  26 -> 32 [size =\"44214272\"]\n  26 -> 33 [size =\"44214272\"]\n  26 -> 37 [size =\"44214272\"]\n  26 -> 38 [size =\"44214272\"]\n  26 -> 45 [size =\"44214272\"]\n  27 [size=\"150162773\", alpha=\"0.20\", expect_size=\"45048832\"] \n  27 -> 33 [size =\"45048832\"]\n  27 -> 34 [size =\"45048832\"]\n  27 -> 38 [size =\"45048832\"]\n  27 -> 44 [size =\"45048832\"]\n  27 -> 46 [size =\"45048832\"]\n  28 [size=\"141428053\", alpha=\"0.17\", expect_size=\"42428416\"] \n  28 -> 33 [size =\"42428416\"]\n  28 -> 34 [size =\"42428416\"]\n  28 -> 37 [size =\"42428416\"]\n  28 -> 38 [size =\"42428416\"]\n  28 -> 39 [size =\"42428416\"]\n  28 -> 43 [size =\"42428416\"]\n  28 -> 46 [size =\"42428416\"]\n  29 [size=\"112165547\", alpha=\"0.14\", expect_size=\"33649664\"] \n  29 -> 31 [size =\"33649664\"]\n  29 -> 37 [size =\"33649664\"]\n  29 -> 38 [size =\"33649664\"]\n  29 -> 39 [size =\"33649664\"]\n  29 -> 39 [size =\"33649664\"]\n  29 -> 41 [size =\"33649664\"]\n  29 -> 43 [size =\"33649664\"]\n  30 [size=\"114428587\", alpha=\"0.16\", expect_size=\"34328576\"] \n  30 -> 34 [size =\"34328576\"]\n  30 -> 39 [size =\"34328576\"]\n  30 -> 42 [size =\"34328576\"]\n  30 -> 47 [size =\"34328576\"]\n  31 [size=\"133471573\", alpha=\"0.16\", expect_size=\"40041472\"] \n  31 -> 50 [size =\"40041472\"]\n  32 [size=\"146186240\", alpha=\"0.06\", expect_size=\"43855872\"] \n  33 [size=\"138895360\", alpha=\"0.20\", expect_size=\"41668608\"] \n  33 -> 50 [size =\"41668608\"]\n  34 [size=\"122354347\", alpha=\"0.20\", expect_size=\"36706304\"] \n  34 -> 49 [size =\"36706304\"]\n  35 [size=\"53350400\", alpha=\"0.08\", expect_size=\"16005120\"] \n  36 [size=\"36106240\", alpha=\"0.19\", expect_size=\"10831872\"] \n  36 -> 49 [size =\"10831872\"]\n  37 [size=\"171485867\", alpha=\"0.19\", expect_size=\"51445760\"] \n  38 [size=\"169434453\", alpha=\"0.15\", expect_size=\"50830336\"] \n  39 [size=\"143885653\", alpha=\"0.02\", expect_size=\"43165696\"] \n  40 [size=\"98689707\", alpha=\"0.20\", expect_size=\"29606912\"] \n  40 -> 49 [size =\"29606912\"]\n  41 [size=\"70949547\", alpha=\"0.07\", expect_size=\"21284864\"] \n  42 [size=\"37488640\", alpha=\"0.05\", expect_size=\"11246592\"] \n  42 -> 50 [size =\"11246592\"]\n  43 [size=\"86657707\", alpha=\"0.12\", expect_size=\"25997312\"] \n  43 -> 49 [size =\"25997312\"]\n  43 -> 50 [size =\"25997312\"]\n  44 [size=\"83578880\", alpha=\"0.19\", expect_size=\"25073664\"] \n  44 -> 49 [size =\"25073664\"]\n  44 -> 50 [size =\"25073664\"]\n  45 [size=\"81926827\", alpha=\"0.14\", expect_size=\"24578048\"] \n  45 -> 49 [size =\"24578048\"]\n  46 [size=\"144554667\", alpha=\"0.05\", expect_size=\"43366400\"] \n  46 -> 50 [size =\"43366400\"]\n  47 [size=\"140356267\", alpha=\"0.13\", expect_size=\"42106880\"] \n  47 -> 49 [size =\"42106880\"]\n  47 -> 50 [size =\"42106880\"]\n  48 [size=\"131211947\", alpha=\"0.17\", expect_size=\"39363584\"] \n  49 [size=\"90347520\", alpha=\"0.13\", expect_size=\"27104256\"] \n  50 [size=\"103717547\", alpha=\"0.01\", expect_size=\"31115264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.454.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49680384\", alpha=\"0.08\", expect_size=\"24840192\"] \n  1 -> 9 [size =\"24840192\"]\n  1 -> 11 [size =\"24840192\"]\n  1 -> 12 [size =\"24840192\"]\n  2 [size=\"38709248\", alpha=\"0.03\", expect_size=\"19354624\"] \n  2 -> 11 [size =\"19354624\"]\n  3 [size=\"94543872\", alpha=\"0.04\", expect_size=\"47271936\"] \n  3 -> 8 [size =\"47271936\"]\n  3 -> 13 [size =\"47271936\"]\n  4 [size=\"60715008\", alpha=\"0.17\", expect_size=\"30357504\"] \n  4 -> 9 [size =\"30357504\"]\n  4 -> 12 [size =\"30357504\"]\n  4 -> 13 [size =\"30357504\"]\n  5 [size=\"98699264\", alpha=\"0.18\", expect_size=\"49349632\"] \n  5 -> 8 [size =\"49349632\"]\n  5 -> 9 [size =\"49349632\"]\n  5 -> 11 [size =\"49349632\"]\n  5 -> 14 [size =\"49349632\"]\n  6 [size=\"90073088\", alpha=\"0.04\", expect_size=\"45036544\"] \n  7 [size=\"103409664\", alpha=\"0.19\", expect_size=\"51704832\"] \n  7 -> 9 [size =\"51704832\"]\n  7 -> 10 [size =\"51704832\"]\n  7 -> 12 [size =\"51704832\"]\n  7 -> 13 [size =\"51704832\"]\n  8 [size=\"101638144\", alpha=\"0.10\", expect_size=\"50819072\"] \n  8 -> 16 [size =\"50819072\"]\n  9 [size=\"13113344\", alpha=\"0.01\", expect_size=\"6556672\"] \n  9 -> 17 [size =\"6556672\"]\n  10 [size=\"71225344\", alpha=\"0.13\", expect_size=\"35612672\"] \n  11 [size=\"21196800\", alpha=\"0.05\", expect_size=\"10598400\"] \n  11 -> 15 [size =\"10598400\"]\n  12 [size=\"58646528\", alpha=\"0.14\", expect_size=\"29323264\"] \n  12 -> 17 [size =\"29323264\"]\n  13 [size=\"73252864\", alpha=\"0.01\", expect_size=\"36626432\"] \n  13 -> 16 [size =\"36626432\"]\n  13 -> 17 [size =\"36626432\"]\n  14 [size=\"90714112\", alpha=\"0.07\", expect_size=\"45357056\"] \n  14 -> 15 [size =\"45357056\"]\n  15 [size=\"75046912\", alpha=\"0.16\", expect_size=\"37523456\"] \n  15 -> 19 [size =\"37523456\"]\n  15 -> 22 [size =\"37523456\"]\n  15 -> 23 [size =\"37523456\"]\n  16 [size=\"65224704\", alpha=\"0.19\", expect_size=\"32612352\"] \n  16 -> 20 [size =\"32612352\"]\n  17 [size=\"83193856\", alpha=\"0.06\", expect_size=\"41596928\"] \n  17 -> 18 [size =\"41596928\"]\n  17 -> 20 [size =\"41596928\"]\n  17 -> 21 [size =\"41596928\"]\n  18 [size=\"77006848\", alpha=\"0.07\", expect_size=\"38503424\"] \n  18 -> 29 [size =\"38503424\"]\n  19 [size=\"28811264\", alpha=\"0.15\", expect_size=\"14405632\"] \n  19 -> 27 [size =\"14405632\"]\n  19 -> 28 [size =\"14405632\"]\n  19 -> 30 [size =\"14405632\"]\n  20 [size=\"35813376\", alpha=\"0.07\", expect_size=\"17906688\"] \n  20 -> 24 [size =\"17906688\"]\n  20 -> 29 [size =\"17906688\"]\n  20 -> 30 [size =\"17906688\"]\n  21 [size=\"98326528\", alpha=\"0.06\", expect_size=\"49163264\"] \n  21 -> 24 [size =\"49163264\"]\n  21 -> 26 [size =\"49163264\"]\n  21 -> 29 [size =\"49163264\"]\n  22 [size=\"28784640\", alpha=\"0.12\", expect_size=\"14392320\"] \n  22 -> 28 [size =\"14392320\"]\n  22 -> 30 [size =\"14392320\"]\n  23 [size=\"93810688\", alpha=\"0.16\", expect_size=\"46905344\"] \n  23 -> 25 [size =\"46905344\"]\n  24 [size=\"100495360\", alpha=\"0.10\", expect_size=\"50247680\"] \n  24 -> 37 [size =\"50247680\"]\n  25 [size=\"39268352\", alpha=\"0.03\", expect_size=\"19634176\"] \n  25 -> 31 [size =\"19634176\"]\n  25 -> 32 [size =\"19634176\"]\n  25 -> 35 [size =\"19634176\"]\n  25 -> 37 [size =\"19634176\"]\n  26 [size=\"21229568\", alpha=\"0.12\", expect_size=\"10614784\"] \n  26 -> 35 [size =\"10614784\"]\n  27 [size=\"15529984\", alpha=\"0.02\", expect_size=\"7764992\"] \n  27 -> 33 [size =\"7764992\"]\n  27 -> 34 [size =\"7764992\"]\n  27 -> 36 [size =\"7764992\"]\n  28 [size=\"45881344\", alpha=\"0.10\", expect_size=\"22940672\"] \n  28 -> 31 [size =\"22940672\"]\n  28 -> 35 [size =\"22940672\"]\n  29 [size=\"78575616\", alpha=\"0.20\", expect_size=\"39287808\"] \n  29 -> 31 [size =\"39287808\"]\n  29 -> 33 [size =\"39287808\"]\n  29 -> 34 [size =\"39287808\"]\n  29 -> 35 [size =\"39287808\"]\n  29 -> 37 [size =\"39287808\"]\n  30 [size=\"56459264\", alpha=\"0.02\", expect_size=\"28229632\"] \n  31 [size=\"88064000\", alpha=\"0.06\", expect_size=\"44032000\"] \n  31 -> 39 [size =\"44032000\"]\n  31 -> 40 [size =\"44032000\"]\n  32 [size=\"23838720\", alpha=\"0.01\", expect_size=\"11919360\"] \n  32 -> 38 [size =\"11919360\"]\n  32 -> 39 [size =\"11919360\"]\n  32 -> 40 [size =\"11919360\"]\n  33 [size=\"80754688\", alpha=\"0.09\", expect_size=\"40377344\"] \n  33 -> 38 [size =\"40377344\"]\n  33 -> 40 [size =\"40377344\"]\n  33 -> 41 [size =\"40377344\"]\n  34 [size=\"59756544\", alpha=\"0.14\", expect_size=\"29878272\"] \n  34 -> 40 [size =\"29878272\"]\n  35 [size=\"11071488\", alpha=\"0.12\", expect_size=\"5535744\"] \n  35 -> 38 [size =\"5535744\"]\n  36 [size=\"22917120\", alpha=\"0.02\", expect_size=\"11458560\"] \n  37 [size=\"80508928\", alpha=\"0.08\", expect_size=\"40254464\"] \n  38 [size=\"88027136\", alpha=\"0.08\", expect_size=\"44013568\"] \n  38 -> 42 [size =\"44013568\"]\n  38 -> 48 [size =\"44013568\"]\n  39 [size=\"42256384\", alpha=\"0.11\", expect_size=\"21128192\"] \n  39 -> 42 [size =\"21128192\"]\n  39 -> 43 [size =\"21128192\"]\n  39 -> 44 [size =\"21128192\"]\n  39 -> 47 [size =\"21128192\"]\n  40 [size=\"40196096\", alpha=\"0.00\", expect_size=\"20098048\"] \n  40 -> 43 [size =\"20098048\"]\n  40 -> 45 [size =\"20098048\"]\n  40 -> 46 [size =\"20098048\"]\n  41 [size=\"48214016\", alpha=\"0.08\", expect_size=\"24107008\"] \n  41 -> 44 [size =\"24107008\"]\n  41 -> 45 [size =\"24107008\"]\n  41 -> 46 [size =\"24107008\"]\n  41 -> 48 [size =\"24107008\"]\n  42 [size=\"77025280\", alpha=\"0.19\", expect_size=\"38512640\"] \n  42 -> 49 [size =\"38512640\"]\n  42 -> 50 [size =\"38512640\"]\n  43 [size=\"80416768\", alpha=\"0.08\", expect_size=\"40208384\"] \n  44 [size=\"26785792\", alpha=\"0.17\", expect_size=\"13392896\"] \n  44 -> 50 [size =\"13392896\"]\n  45 [size=\"90730496\", alpha=\"0.11\", expect_size=\"45365248\"] \n  46 [size=\"53700608\", alpha=\"0.07\", expect_size=\"26850304\"] \n  46 -> 49 [size =\"26850304\"]\n  46 -> 50 [size =\"26850304\"]\n  47 [size=\"64806912\", alpha=\"0.05\", expect_size=\"32403456\"] \n  47 -> 49 [size =\"32403456\"]\n  47 -> 50 [size =\"32403456\"]\n  48 [size=\"102387712\", alpha=\"0.10\", expect_size=\"51193856\"] \n  49 [size=\"44222464\", alpha=\"0.10\", expect_size=\"22111232\"] \n  50 [size=\"97380352\", alpha=\"0.19\", expect_size=\"48690176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.455.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89156267\", alpha=\"0.17\", expect_size=\"26746880\"] \n  1 -> 16 [size =\"26746880\"]\n  1 -> 19 [size =\"26746880\"]\n  1 -> 21 [size =\"26746880\"]\n  1 -> 22 [size =\"26746880\"]\n  1 -> 24 [size =\"26746880\"]\n  1 -> 27 [size =\"26746880\"]\n  1 -> 28 [size =\"26746880\"]\n  1 -> 30 [size =\"26746880\"]\n  2 [size=\"45981013\", alpha=\"0.12\", expect_size=\"13794304\"] \n  2 -> 17 [size =\"13794304\"]\n  2 -> 23 [size =\"13794304\"]\n  2 -> 27 [size =\"13794304\"]\n  2 -> 28 [size =\"13794304\"]\n  3 [size=\"115432107\", alpha=\"0.02\", expect_size=\"34629632\"] \n  3 -> 15 [size =\"34629632\"]\n  3 -> 16 [size =\"34629632\"]\n  3 -> 17 [size =\"34629632\"]\n  3 -> 19 [size =\"34629632\"]\n  3 -> 21 [size =\"34629632\"]\n  4 [size=\"101277013\", alpha=\"0.16\", expect_size=\"30383104\"] \n  4 -> 18 [size =\"30383104\"]\n  4 -> 20 [size =\"30383104\"]\n  4 -> 24 [size =\"30383104\"]\n  4 -> 25 [size =\"30383104\"]\n  4 -> 28 [size =\"30383104\"]\n  4 -> 29 [size =\"30383104\"]\n  5 [size=\"135195307\", alpha=\"0.18\", expect_size=\"40558592\"] \n  5 -> 16 [size =\"40558592\"]\n  5 -> 19 [size =\"40558592\"]\n  5 -> 27 [size =\"40558592\"]\n  5 -> 28 [size =\"40558592\"]\n  5 -> 29 [size =\"40558592\"]\n  6 [size=\"34385920\", alpha=\"0.11\", expect_size=\"10315776\"] \n  6 -> 16 [size =\"10315776\"]\n  6 -> 17 [size =\"10315776\"]\n  6 -> 18 [size =\"10315776\"]\n  6 -> 30 [size =\"10315776\"]\n  7 [size=\"153794560\", alpha=\"0.16\", expect_size=\"46138368\"] \n  7 -> 18 [size =\"46138368\"]\n  7 -> 20 [size =\"46138368\"]\n  7 -> 21 [size =\"46138368\"]\n  7 -> 27 [size =\"46138368\"]\n  8 [size=\"110680747\", alpha=\"0.18\", expect_size=\"33204224\"] \n  8 -> 19 [size =\"33204224\"]\n  8 -> 21 [size =\"33204224\"]\n  9 [size=\"107130880\", alpha=\"0.14\", expect_size=\"32139264\"] \n  9 -> 16 [size =\"32139264\"]\n  9 -> 23 [size =\"32139264\"]\n  10 [size=\"163604480\", alpha=\"0.17\", expect_size=\"49081344\"] \n  10 -> 18 [size =\"49081344\"]\n  10 -> 20 [size =\"49081344\"]\n  10 -> 23 [size =\"49081344\"]\n  10 -> 24 [size =\"49081344\"]\n  10 -> 27 [size =\"49081344\"]\n  10 -> 28 [size =\"49081344\"]\n  11 [size=\"90316800\", alpha=\"0.09\", expect_size=\"27095040\"] \n  11 -> 18 [size =\"27095040\"]\n  11 -> 20 [size =\"27095040\"]\n  11 -> 21 [size =\"27095040\"]\n  11 -> 24 [size =\"27095040\"]\n  11 -> 26 [size =\"27095040\"]\n  11 -> 30 [size =\"27095040\"]\n  12 [size=\"70075733\", alpha=\"0.10\", expect_size=\"21022720\"] \n  12 -> 16 [size =\"21022720\"]\n  12 -> 20 [size =\"21022720\"]\n  12 -> 23 [size =\"21022720\"]\n  12 -> 24 [size =\"21022720\"]\n  13 [size=\"161914880\", alpha=\"0.05\", expect_size=\"48574464\"] \n  13 -> 23 [size =\"48574464\"]\n  13 -> 24 [size =\"48574464\"]\n  14 [size=\"20497067\", alpha=\"0.18\", expect_size=\"6149120\"] \n  14 -> 16 [size =\"6149120\"]\n  14 -> 20 [size =\"6149120\"]\n  14 -> 21 [size =\"6149120\"]\n  14 -> 23 [size =\"6149120\"]\n  14 -> 26 [size =\"6149120\"]\n  14 -> 30 [size =\"6149120\"]\n  15 [size=\"147783680\", alpha=\"0.12\", expect_size=\"44335104\"] \n  15 -> 44 [size =\"44335104\"]\n  16 [size=\"134925653\", alpha=\"0.02\", expect_size=\"40477696\"] \n  17 [size=\"63078400\", alpha=\"0.15\", expect_size=\"18923520\"] \n  17 -> 35 [size =\"18923520\"]\n  17 -> 37 [size =\"18923520\"]\n  17 -> 42 [size =\"18923520\"]\n  17 -> 43 [size =\"18923520\"]\n  18 [size=\"32133120\", alpha=\"0.07\", expect_size=\"9639936\"] \n  18 -> 37 [size =\"9639936\"]\n  18 -> 41 [size =\"9639936\"]\n  18 -> 43 [size =\"9639936\"]\n  19 [size=\"170123947\", alpha=\"0.09\", expect_size=\"51037184\"] \n  19 -> 33 [size =\"51037184\"]\n  19 -> 37 [size =\"51037184\"]\n  19 -> 41 [size =\"51037184\"]\n  19 -> 43 [size =\"51037184\"]\n  20 [size=\"123088213\", alpha=\"0.08\", expect_size=\"36926464\"] \n  20 -> 32 [size =\"36926464\"]\n  20 -> 36 [size =\"36926464\"]\n  20 -> 38 [size =\"36926464\"]\n  20 -> 40 [size =\"36926464\"]\n  20 -> 43 [size =\"36926464\"]\n  21 [size=\"102642347\", alpha=\"0.16\", expect_size=\"30792704\"] \n  21 -> 31 [size =\"30792704\"]\n  21 -> 34 [size =\"30792704\"]\n  21 -> 37 [size =\"30792704\"]\n  21 -> 38 [size =\"30792704\"]\n  21 -> 43 [size =\"30792704\"]\n  22 [size=\"170250240\", alpha=\"0.08\", expect_size=\"51075072\"] \n  22 -> 40 [size =\"51075072\"]\n  23 [size=\"93788160\", alpha=\"0.13\", expect_size=\"28136448\"] \n  23 -> 31 [size =\"28136448\"]\n  23 -> 40 [size =\"28136448\"]\n  24 [size=\"131314347\", alpha=\"0.08\", expect_size=\"39394304\"] \n  24 -> 37 [size =\"39394304\"]\n  24 -> 40 [size =\"39394304\"]\n  24 -> 42 [size =\"39394304\"]\n  24 -> 43 [size =\"39394304\"]\n  25 [size=\"112721920\", alpha=\"0.18\", expect_size=\"33816576\"] \n  25 -> 34 [size =\"33816576\"]\n  25 -> 40 [size =\"33816576\"]\n  26 [size=\"50104320\", alpha=\"0.10\", expect_size=\"15031296\"] \n  26 -> 34 [size =\"15031296\"]\n  26 -> 37 [size =\"15031296\"]\n  26 -> 39 [size =\"15031296\"]\n  26 -> 40 [size =\"15031296\"]\n  26 -> 42 [size =\"15031296\"]\n  27 [size=\"64051200\", alpha=\"0.19\", expect_size=\"19215360\"] \n  27 -> 38 [size =\"19215360\"]\n  27 -> 42 [size =\"19215360\"]\n  28 [size=\"22633813\", alpha=\"0.01\", expect_size=\"6790144\"] \n  28 -> 31 [size =\"6790144\"]\n  28 -> 35 [size =\"6790144\"]\n  28 -> 40 [size =\"6790144\"]\n  28 -> 42 [size =\"6790144\"]\n  29 [size=\"79018667\", alpha=\"0.13\", expect_size=\"23705600\"] \n  29 -> 31 [size =\"23705600\"]\n  29 -> 34 [size =\"23705600\"]\n  29 -> 35 [size =\"23705600\"]\n  29 -> 37 [size =\"23705600\"]\n  29 -> 41 [size =\"23705600\"]\n  29 -> 43 [size =\"23705600\"]\n  30 [size=\"147397973\", alpha=\"0.05\", expect_size=\"44219392\"] \n  30 -> 44 [size =\"44219392\"]\n  31 [size=\"52155733\", alpha=\"0.05\", expect_size=\"15646720\"] \n  31 -> 47 [size =\"15646720\"]\n  32 [size=\"22268587\", alpha=\"0.13\", expect_size=\"6680576\"] \n  33 [size=\"86241280\", alpha=\"0.18\", expect_size=\"25872384\"] \n  34 [size=\"27456853\", alpha=\"0.04\", expect_size=\"8237056\"] \n  34 -> 46 [size =\"8237056\"]\n  35 [size=\"87002453\", alpha=\"0.07\", expect_size=\"26100736\"] \n  35 -> 45 [size =\"26100736\"]\n  35 -> 46 [size =\"26100736\"]\n  35 -> 48 [size =\"26100736\"]\n  36 [size=\"68031147\", alpha=\"0.04\", expect_size=\"20409344\"] \n  36 -> 45 [size =\"20409344\"]\n  36 -> 48 [size =\"20409344\"]\n  37 [size=\"144735573\", alpha=\"0.08\", expect_size=\"43420672\"] \n  37 -> 46 [size =\"43420672\"]\n  38 [size=\"138864640\", alpha=\"0.13\", expect_size=\"41659392\"] \n  38 -> 48 [size =\"41659392\"]\n  38 -> 50 [size =\"41659392\"]\n  39 [size=\"143622827\", alpha=\"0.18\", expect_size=\"43086848\"] \n  39 -> 47 [size =\"43086848\"]\n  39 -> 50 [size =\"43086848\"]\n  40 [size=\"91378347\", alpha=\"0.16\", expect_size=\"27413504\"] \n  40 -> 48 [size =\"27413504\"]\n  40 -> 49 [size =\"27413504\"]\n  41 [size=\"128266240\", alpha=\"0.04\", expect_size=\"38479872\"] \n  41 -> 49 [size =\"38479872\"]\n  42 [size=\"169840640\", alpha=\"0.13\", expect_size=\"50952192\"] \n  42 -> 45 [size =\"50952192\"]\n  43 [size=\"111414613\", alpha=\"0.11\", expect_size=\"33424384\"] \n  43 -> 48 [size =\"33424384\"]\n  44 [size=\"97433600\", alpha=\"0.03\", expect_size=\"29230080\"] \n  44 -> 45 [size =\"29230080\"]\n  44 -> 47 [size =\"29230080\"]\n  45 [size=\"130911573\", alpha=\"0.08\", expect_size=\"39273472\"] \n  46 [size=\"27593387\", alpha=\"0.17\", expect_size=\"8278016\"] \n  47 [size=\"62208000\", alpha=\"0.11\", expect_size=\"18662400\"] \n  48 [size=\"123081387\", alpha=\"0.07\", expect_size=\"36924416\"] \n  49 [size=\"67580587\", alpha=\"0.10\", expect_size=\"20274176\"] \n  50 [size=\"48353280\", alpha=\"0.09\", expect_size=\"14505984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.456.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"139366400\", alpha=\"0.07\", expect_size=\"41809920\"] \n  1 -> 20 [size =\"41809920\"]\n  1 -> 23 [size =\"41809920\"]\n  1 -> 31 [size =\"41809920\"]\n  1 -> 35 [size =\"41809920\"]\n  1 -> 41 [size =\"41809920\"]\n  2 [size=\"96457387\", alpha=\"0.05\", expect_size=\"28937216\"] \n  2 -> 20 [size =\"28937216\"]\n  2 -> 23 [size =\"28937216\"]\n  2 -> 26 [size =\"28937216\"]\n  2 -> 27 [size =\"28937216\"]\n  2 -> 38 [size =\"28937216\"]\n  2 -> 41 [size =\"28937216\"]\n  2 -> 42 [size =\"28937216\"]\n  2 -> 48 [size =\"28937216\"]\n  2 -> 49 [size =\"28937216\"]\n  3 [size=\"48271360\", alpha=\"0.03\", expect_size=\"14481408\"] \n  3 -> 20 [size =\"14481408\"]\n  3 -> 21 [size =\"14481408\"]\n  3 -> 30 [size =\"14481408\"]\n  3 -> 37 [size =\"14481408\"]\n  3 -> 41 [size =\"14481408\"]\n  3 -> 41 [size =\"14481408\"]\n  3 -> 42 [size =\"14481408\"]\n  3 -> 43 [size =\"14481408\"]\n  3 -> 49 [size =\"14481408\"]\n  4 [size=\"103901867\", alpha=\"0.13\", expect_size=\"31170560\"] \n  4 -> 20 [size =\"31170560\"]\n  4 -> 22 [size =\"31170560\"]\n  4 -> 27 [size =\"31170560\"]\n  4 -> 29 [size =\"31170560\"]\n  4 -> 30 [size =\"31170560\"]\n  4 -> 32 [size =\"31170560\"]\n  4 -> 36 [size =\"31170560\"]\n  4 -> 38 [size =\"31170560\"]\n  4 -> 41 [size =\"31170560\"]\n  4 -> 42 [size =\"31170560\"]\n  4 -> 49 [size =\"31170560\"]\n  5 [size=\"37543253\", alpha=\"0.12\", expect_size=\"11262976\"] \n  5 -> 26 [size =\"11262976\"]\n  5 -> 27 [size =\"11262976\"]\n  5 -> 29 [size =\"11262976\"]\n  5 -> 30 [size =\"11262976\"]\n  5 -> 30 [size =\"11262976\"]\n  5 -> 31 [size =\"11262976\"]\n  5 -> 33 [size =\"11262976\"]\n  5 -> 39 [size =\"11262976\"]\n  5 -> 41 [size =\"11262976\"]\n  5 -> 42 [size =\"11262976\"]\n  5 -> 49 [size =\"11262976\"]\n  5 -> 50 [size =\"11262976\"]\n  6 [size=\"135458133\", alpha=\"0.09\", expect_size=\"40637440\"] \n  6 -> 33 [size =\"40637440\"]\n  6 -> 38 [size =\"40637440\"]\n  6 -> 44 [size =\"40637440\"]\n  6 -> 45 [size =\"40637440\"]\n  6 -> 50 [size =\"40637440\"]\n  7 [size=\"38461440\", alpha=\"0.16\", expect_size=\"11538432\"] \n  7 -> 22 [size =\"11538432\"]\n  7 -> 27 [size =\"11538432\"]\n  7 -> 29 [size =\"11538432\"]\n  7 -> 30 [size =\"11538432\"]\n  7 -> 31 [size =\"11538432\"]\n  7 -> 32 [size =\"11538432\"]\n  7 -> 33 [size =\"11538432\"]\n  7 -> 34 [size =\"11538432\"]\n  7 -> 35 [size =\"11538432\"]\n  7 -> 37 [size =\"11538432\"]\n  7 -> 38 [size =\"11538432\"]\n  7 -> 46 [size =\"11538432\"]\n  7 -> 50 [size =\"11538432\"]\n  8 [size=\"157890560\", alpha=\"0.11\", expect_size=\"47367168\"] \n  8 -> 21 [size =\"47367168\"]\n  8 -> 32 [size =\"47367168\"]\n  8 -> 34 [size =\"47367168\"]\n  8 -> 37 [size =\"47367168\"]\n  8 -> 45 [size =\"47367168\"]\n  8 -> 50 [size =\"47367168\"]\n  9 [size=\"24490667\", alpha=\"0.15\", expect_size=\"7347200\"] \n  9 -> 32 [size =\"7347200\"]\n  9 -> 33 [size =\"7347200\"]\n  9 -> 37 [size =\"7347200\"]\n  9 -> 42 [size =\"7347200\"]\n  10 [size=\"128870400\", alpha=\"0.17\", expect_size=\"38661120\"] \n  10 -> 24 [size =\"38661120\"]\n  10 -> 27 [size =\"38661120\"]\n  10 -> 29 [size =\"38661120\"]\n  10 -> 31 [size =\"38661120\"]\n  10 -> 42 [size =\"38661120\"]\n  10 -> 43 [size =\"38661120\"]\n  10 -> 47 [size =\"38661120\"]\n  10 -> 48 [size =\"38661120\"]\n  11 [size=\"83418453\", alpha=\"0.10\", expect_size=\"25025536\"] \n  11 -> 22 [size =\"25025536\"]\n  11 -> 29 [size =\"25025536\"]\n  11 -> 34 [size =\"25025536\"]\n  11 -> 36 [size =\"25025536\"]\n  11 -> 41 [size =\"25025536\"]\n  11 -> 42 [size =\"25025536\"]\n  11 -> 45 [size =\"25025536\"]\n  11 -> 46 [size =\"25025536\"]\n  11 -> 48 [size =\"25025536\"]\n  11 -> 50 [size =\"25025536\"]\n  12 [size=\"134621867\", alpha=\"0.02\", expect_size=\"40386560\"] \n  12 -> 20 [size =\"40386560\"]\n  12 -> 27 [size =\"40386560\"]\n  12 -> 29 [size =\"40386560\"]\n  12 -> 36 [size =\"40386560\"]\n  12 -> 41 [size =\"40386560\"]\n  12 -> 48 [size =\"40386560\"]\n  12 -> 49 [size =\"40386560\"]\n  12 -> 50 [size =\"40386560\"]\n  13 [size=\"20363947\", alpha=\"0.07\", expect_size=\"6109184\"] \n  13 -> 26 [size =\"6109184\"]\n  13 -> 28 [size =\"6109184\"]\n  13 -> 31 [size =\"6109184\"]\n  13 -> 32 [size =\"6109184\"]\n  13 -> 33 [size =\"6109184\"]\n  13 -> 41 [size =\"6109184\"]\n  13 -> 48 [size =\"6109184\"]\n  13 -> 49 [size =\"6109184\"]\n  13 -> 50 [size =\"6109184\"]\n  14 [size=\"43117227\", alpha=\"0.16\", expect_size=\"12935168\"] \n  14 -> 21 [size =\"12935168\"]\n  14 -> 22 [size =\"12935168\"]\n  14 -> 26 [size =\"12935168\"]\n  14 -> 30 [size =\"12935168\"]\n  14 -> 32 [size =\"12935168\"]\n  14 -> 34 [size =\"12935168\"]\n  14 -> 42 [size =\"12935168\"]\n  14 -> 44 [size =\"12935168\"]\n  14 -> 49 [size =\"12935168\"]\n  14 -> 50 [size =\"12935168\"]\n  15 [size=\"143783253\", alpha=\"0.10\", expect_size=\"43134976\"] \n  15 -> 23 [size =\"43134976\"]\n  15 -> 25 [size =\"43134976\"]\n  15 -> 30 [size =\"43134976\"]\n  15 -> 30 [size =\"43134976\"]\n  15 -> 34 [size =\"43134976\"]\n  15 -> 34 [size =\"43134976\"]\n  15 -> 37 [size =\"43134976\"]\n  15 -> 44 [size =\"43134976\"]\n  15 -> 49 [size =\"43134976\"]\n  15 -> 50 [size =\"43134976\"]\n  16 [size=\"83435520\", alpha=\"0.06\", expect_size=\"25030656\"] \n  16 -> 21 [size =\"25030656\"]\n  16 -> 22 [size =\"25030656\"]\n  16 -> 23 [size =\"25030656\"]\n  16 -> 26 [size =\"25030656\"]\n  16 -> 32 [size =\"25030656\"]\n  16 -> 33 [size =\"25030656\"]\n  16 -> 34 [size =\"25030656\"]\n  16 -> 38 [size =\"25030656\"]\n  16 -> 42 [size =\"25030656\"]\n  16 -> 45 [size =\"25030656\"]\n  16 -> 47 [size =\"25030656\"]\n  16 -> 50 [size =\"25030656\"]\n  17 [size=\"152169813\", alpha=\"0.10\", expect_size=\"45650944\"] \n  17 -> 20 [size =\"45650944\"]\n  17 -> 26 [size =\"45650944\"]\n  17 -> 29 [size =\"45650944\"]\n  17 -> 30 [size =\"45650944\"]\n  17 -> 32 [size =\"45650944\"]\n  17 -> 34 [size =\"45650944\"]\n  17 -> 34 [size =\"45650944\"]\n  17 -> 40 [size =\"45650944\"]\n  17 -> 42 [size =\"45650944\"]\n  17 -> 44 [size =\"45650944\"]\n  17 -> 46 [size =\"45650944\"]\n  17 -> 48 [size =\"45650944\"]\n  17 -> 50 [size =\"45650944\"]\n  18 [size=\"117486933\", alpha=\"0.05\", expect_size=\"35246080\"] \n  18 -> 20 [size =\"35246080\"]\n  18 -> 25 [size =\"35246080\"]\n  18 -> 32 [size =\"35246080\"]\n  18 -> 33 [size =\"35246080\"]\n  18 -> 42 [size =\"35246080\"]\n  18 -> 43 [size =\"35246080\"]\n  18 -> 48 [size =\"35246080\"]\n  18 -> 49 [size =\"35246080\"]\n  19 [size=\"48278187\", alpha=\"0.10\", expect_size=\"14483456\"] \n  19 -> 20 [size =\"14483456\"]\n  19 -> 24 [size =\"14483456\"]\n  19 -> 26 [size =\"14483456\"]\n  19 -> 29 [size =\"14483456\"]\n  19 -> 31 [size =\"14483456\"]\n  19 -> 32 [size =\"14483456\"]\n  19 -> 34 [size =\"14483456\"]\n  19 -> 35 [size =\"14483456\"]\n  19 -> 39 [size =\"14483456\"]\n  19 -> 41 [size =\"14483456\"]\n  19 -> 42 [size =\"14483456\"]\n  20 [size=\"168717653\", alpha=\"0.09\", expect_size=\"50615296\"] \n  21 [size=\"144128000\", alpha=\"0.04\", expect_size=\"43238400\"] \n  22 [size=\"68686507\", alpha=\"0.08\", expect_size=\"20605952\"] \n  23 [size=\"87005867\", alpha=\"0.16\", expect_size=\"26101760\"] \n  24 [size=\"145653760\", alpha=\"0.15\", expect_size=\"43696128\"] \n  25 [size=\"111042560\", alpha=\"0.17\", expect_size=\"33312768\"] \n  26 [size=\"34362027\", alpha=\"0.14\", expect_size=\"10308608\"] \n  27 [size=\"84968107\", alpha=\"0.13\", expect_size=\"25490432\"] \n  28 [size=\"160235520\", alpha=\"0.11\", expect_size=\"48070656\"] \n  29 [size=\"41745067\", alpha=\"0.09\", expect_size=\"12523520\"] \n  30 [size=\"123740160\", alpha=\"0.01\", expect_size=\"37122048\"] \n  31 [size=\"39004160\", alpha=\"0.02\", expect_size=\"11701248\"] \n  32 [size=\"66713600\", alpha=\"0.18\", expect_size=\"20014080\"] \n  33 [size=\"128563200\", alpha=\"0.14\", expect_size=\"38568960\"] \n  34 [size=\"98068480\", alpha=\"0.13\", expect_size=\"29420544\"] \n  35 [size=\"61651627\", alpha=\"0.08\", expect_size=\"18495488\"] \n  36 [size=\"39386453\", alpha=\"0.12\", expect_size=\"11815936\"] \n  37 [size=\"149251413\", alpha=\"0.13\", expect_size=\"44775424\"] \n  38 [size=\"97665707\", alpha=\"0.07\", expect_size=\"29299712\"] \n  39 [size=\"25043627\", alpha=\"0.04\", expect_size=\"7513088\"] \n  40 [size=\"95689387\", alpha=\"0.01\", expect_size=\"28706816\"] \n  41 [size=\"106420907\", alpha=\"0.14\", expect_size=\"31926272\"] \n  42 [size=\"123187200\", alpha=\"0.13\", expect_size=\"36956160\"] \n  43 [size=\"105847467\", alpha=\"0.01\", expect_size=\"31754240\"] \n  44 [size=\"57289387\", alpha=\"0.06\", expect_size=\"17186816\"] \n  45 [size=\"160443733\", alpha=\"0.02\", expect_size=\"48133120\"] \n  46 [size=\"69761707\", alpha=\"0.01\", expect_size=\"20928512\"] \n  47 [size=\"165775360\", alpha=\"0.08\", expect_size=\"49732608\"] \n  48 [size=\"111322453\", alpha=\"0.13\", expect_size=\"33396736\"] \n  49 [size=\"163696640\", alpha=\"0.01\", expect_size=\"49108992\"] \n  50 [size=\"39137280\", alpha=\"0.03\", expect_size=\"11741184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.457.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57492480\", alpha=\"0.14\", expect_size=\"22996992\"] \n  1 -> 29 [size =\"22996992\"]\n  1 -> 35 [size =\"22996992\"]\n  1 -> 37 [size =\"22996992\"]\n  1 -> 40 [size =\"22996992\"]\n  2 [size=\"64903680\", alpha=\"0.07\", expect_size=\"25961472\"] \n  2 -> 29 [size =\"25961472\"]\n  2 -> 30 [size =\"25961472\"]\n  2 -> 36 [size =\"25961472\"]\n  2 -> 37 [size =\"25961472\"]\n  2 -> 41 [size =\"25961472\"]\n  2 -> 43 [size =\"25961472\"]\n  3 [size=\"48637440\", alpha=\"0.13\", expect_size=\"19454976\"] \n  3 -> 30 [size =\"19454976\"]\n  3 -> 37 [size =\"19454976\"]\n  3 -> 40 [size =\"19454976\"]\n  3 -> 47 [size =\"19454976\"]\n  3 -> 48 [size =\"19454976\"]\n  3 -> 49 [size =\"19454976\"]\n  4 [size=\"115343360\", alpha=\"0.15\", expect_size=\"46137344\"] \n  4 -> 35 [size =\"46137344\"]\n  4 -> 36 [size =\"46137344\"]\n  4 -> 37 [size =\"46137344\"]\n  4 -> 41 [size =\"46137344\"]\n  4 -> 46 [size =\"46137344\"]\n  5 [size=\"84236800\", alpha=\"0.09\", expect_size=\"33694720\"] \n  5 -> 32 [size =\"33694720\"]\n  5 -> 33 [size =\"33694720\"]\n  5 -> 35 [size =\"33694720\"]\n  5 -> 38 [size =\"33694720\"]\n  5 -> 41 [size =\"33694720\"]\n  5 -> 42 [size =\"33694720\"]\n  5 -> 46 [size =\"33694720\"]\n  5 -> 50 [size =\"33694720\"]\n  6 [size=\"44887040\", alpha=\"0.15\", expect_size=\"17954816\"] \n  6 -> 30 [size =\"17954816\"]\n  6 -> 32 [size =\"17954816\"]\n  6 -> 36 [size =\"17954816\"]\n  6 -> 39 [size =\"17954816\"]\n  6 -> 46 [size =\"17954816\"]\n  6 -> 50 [size =\"17954816\"]\n  7 [size=\"103610880\", alpha=\"0.13\", expect_size=\"41444352\"] \n  7 -> 30 [size =\"41444352\"]\n  7 -> 32 [size =\"41444352\"]\n  7 -> 35 [size =\"41444352\"]\n  7 -> 40 [size =\"41444352\"]\n  7 -> 41 [size =\"41444352\"]\n  7 -> 43 [size =\"41444352\"]\n  7 -> 46 [size =\"41444352\"]\n  7 -> 47 [size =\"41444352\"]\n  7 -> 49 [size =\"41444352\"]\n  8 [size=\"86489600\", alpha=\"0.10\", expect_size=\"34595840\"] \n  8 -> 37 [size =\"34595840\"]\n  8 -> 49 [size =\"34595840\"]\n  9 [size=\"66055680\", alpha=\"0.09\", expect_size=\"26422272\"] \n  9 -> 32 [size =\"26422272\"]\n  9 -> 33 [size =\"26422272\"]\n  9 -> 46 [size =\"26422272\"]\n  9 -> 49 [size =\"26422272\"]\n  9 -> 50 [size =\"26422272\"]\n  10 [size=\"50598400\", alpha=\"0.15\", expect_size=\"20239360\"] \n  10 -> 29 [size =\"20239360\"]\n  10 -> 30 [size =\"20239360\"]\n  10 -> 31 [size =\"20239360\"]\n  10 -> 33 [size =\"20239360\"]\n  10 -> 35 [size =\"20239360\"]\n  10 -> 43 [size =\"20239360\"]\n  10 -> 49 [size =\"20239360\"]\n  11 [size=\"54589440\", alpha=\"0.01\", expect_size=\"21835776\"] \n  11 -> 29 [size =\"21835776\"]\n  11 -> 32 [size =\"21835776\"]\n  11 -> 33 [size =\"21835776\"]\n  11 -> 40 [size =\"21835776\"]\n  11 -> 42 [size =\"21835776\"]\n  11 -> 43 [size =\"21835776\"]\n  11 -> 44 [size =\"21835776\"]\n  11 -> 45 [size =\"21835776\"]\n  11 -> 46 [size =\"21835776\"]\n  11 -> 47 [size =\"21835776\"]\n  11 -> 48 [size =\"21835776\"]\n  11 -> 49 [size =\"21835776\"]\n  11 -> 50 [size =\"21835776\"]\n  12 [size=\"17981440\", alpha=\"0.17\", expect_size=\"7192576\"] \n  12 -> 29 [size =\"7192576\"]\n  12 -> 33 [size =\"7192576\"]\n  12 -> 39 [size =\"7192576\"]\n  12 -> 43 [size =\"7192576\"]\n  12 -> 46 [size =\"7192576\"]\n  12 -> 47 [size =\"7192576\"]\n  12 -> 49 [size =\"7192576\"]\n  12 -> 50 [size =\"7192576\"]\n  13 [size=\"60321280\", alpha=\"0.15\", expect_size=\"24128512\"] \n  13 -> 29 [size =\"24128512\"]\n  13 -> 30 [size =\"24128512\"]\n  13 -> 31 [size =\"24128512\"]\n  13 -> 32 [size =\"24128512\"]\n  13 -> 34 [size =\"24128512\"]\n  13 -> 35 [size =\"24128512\"]\n  13 -> 36 [size =\"24128512\"]\n  13 -> 43 [size =\"24128512\"]\n  13 -> 45 [size =\"24128512\"]\n  13 -> 47 [size =\"24128512\"]\n  13 -> 50 [size =\"24128512\"]\n  14 [size=\"19975680\", alpha=\"0.10\", expect_size=\"7990272\"] \n  14 -> 29 [size =\"7990272\"]\n  14 -> 35 [size =\"7990272\"]\n  14 -> 36 [size =\"7990272\"]\n  14 -> 39 [size =\"7990272\"]\n  14 -> 40 [size =\"7990272\"]\n  14 -> 42 [size =\"7990272\"]\n  14 -> 46 [size =\"7990272\"]\n  15 [size=\"106908160\", alpha=\"0.12\", expect_size=\"42763264\"] \n  15 -> 29 [size =\"42763264\"]\n  15 -> 35 [size =\"42763264\"]\n  15 -> 37 [size =\"42763264\"]\n  15 -> 39 [size =\"42763264\"]\n  15 -> 48 [size =\"42763264\"]\n  16 [size=\"44577280\", alpha=\"0.06\", expect_size=\"17830912\"] \n  16 -> 34 [size =\"17830912\"]\n  16 -> 36 [size =\"17830912\"]\n  16 -> 37 [size =\"17830912\"]\n  16 -> 39 [size =\"17830912\"]\n  16 -> 43 [size =\"17830912\"]\n  16 -> 46 [size =\"17830912\"]\n  16 -> 48 [size =\"17830912\"]\n  16 -> 49 [size =\"17830912\"]\n  17 [size=\"15234560\", alpha=\"0.11\", expect_size=\"6093824\"] \n  17 -> 31 [size =\"6093824\"]\n  17 -> 32 [size =\"6093824\"]\n  17 -> 34 [size =\"6093824\"]\n  17 -> 35 [size =\"6093824\"]\n  17 -> 40 [size =\"6093824\"]\n  17 -> 48 [size =\"6093824\"]\n  17 -> 49 [size =\"6093824\"]\n  18 [size=\"94727680\", alpha=\"0.15\", expect_size=\"37891072\"] \n  18 -> 29 [size =\"37891072\"]\n  18 -> 39 [size =\"37891072\"]\n  18 -> 40 [size =\"37891072\"]\n  19 [size=\"36352000\", alpha=\"0.08\", expect_size=\"14540800\"] \n  19 -> 29 [size =\"14540800\"]\n  19 -> 33 [size =\"14540800\"]\n  19 -> 34 [size =\"14540800\"]\n  19 -> 35 [size =\"14540800\"]\n  19 -> 39 [size =\"14540800\"]\n  19 -> 40 [size =\"14540800\"]\n  19 -> 41 [size =\"14540800\"]\n  19 -> 46 [size =\"14540800\"]\n  19 -> 48 [size =\"14540800\"]\n  19 -> 50 [size =\"14540800\"]\n  20 [size=\"87628800\", alpha=\"0.11\", expect_size=\"35051520\"] \n  20 -> 33 [size =\"35051520\"]\n  20 -> 34 [size =\"35051520\"]\n  20 -> 35 [size =\"35051520\"]\n  20 -> 36 [size =\"35051520\"]\n  20 -> 40 [size =\"35051520\"]\n  20 -> 48 [size =\"35051520\"]\n  20 -> 50 [size =\"35051520\"]\n  21 [size=\"55316480\", alpha=\"0.02\", expect_size=\"22126592\"] \n  21 -> 31 [size =\"22126592\"]\n  21 -> 32 [size =\"22126592\"]\n  21 -> 34 [size =\"22126592\"]\n  21 -> 36 [size =\"22126592\"]\n  21 -> 39 [size =\"22126592\"]\n  21 -> 40 [size =\"22126592\"]\n  21 -> 44 [size =\"22126592\"]\n  21 -> 46 [size =\"22126592\"]\n  21 -> 48 [size =\"22126592\"]\n  21 -> 50 [size =\"22126592\"]\n  22 [size=\"59924480\", alpha=\"0.01\", expect_size=\"23969792\"] \n  22 -> 29 [size =\"23969792\"]\n  22 -> 32 [size =\"23969792\"]\n  22 -> 37 [size =\"23969792\"]\n  22 -> 40 [size =\"23969792\"]\n  22 -> 43 [size =\"23969792\"]\n  22 -> 50 [size =\"23969792\"]\n  23 [size=\"42521600\", alpha=\"0.07\", expect_size=\"17008640\"] \n  23 -> 33 [size =\"17008640\"]\n  23 -> 35 [size =\"17008640\"]\n  23 -> 37 [size =\"17008640\"]\n  23 -> 39 [size =\"17008640\"]\n  23 -> 46 [size =\"17008640\"]\n  23 -> 49 [size =\"17008640\"]\n  23 -> 50 [size =\"17008640\"]\n  24 [size=\"15682560\", alpha=\"0.09\", expect_size=\"6273024\"] \n  24 -> 37 [size =\"6273024\"]\n  24 -> 40 [size =\"6273024\"]\n  24 -> 41 [size =\"6273024\"]\n  24 -> 44 [size =\"6273024\"]\n  25 [size=\"71754240\", alpha=\"0.04\", expect_size=\"28701696\"] \n  25 -> 30 [size =\"28701696\"]\n  25 -> 32 [size =\"28701696\"]\n  25 -> 37 [size =\"28701696\"]\n  25 -> 39 [size =\"28701696\"]\n  25 -> 48 [size =\"28701696\"]\n  26 [size=\"26800640\", alpha=\"0.04\", expect_size=\"10720256\"] \n  26 -> 30 [size =\"10720256\"]\n  26 -> 32 [size =\"10720256\"]\n  26 -> 33 [size =\"10720256\"]\n  26 -> 36 [size =\"10720256\"]\n  26 -> 37 [size =\"10720256\"]\n  26 -> 39 [size =\"10720256\"]\n  26 -> 40 [size =\"10720256\"]\n  26 -> 50 [size =\"10720256\"]\n  27 [size=\"62755840\", alpha=\"0.20\", expect_size=\"25102336\"] \n  27 -> 42 [size =\"25102336\"]\n  27 -> 43 [size =\"25102336\"]\n  27 -> 45 [size =\"25102336\"]\n  28 [size=\"128622080\", alpha=\"0.08\", expect_size=\"51448832\"] \n  28 -> 32 [size =\"51448832\"]\n  28 -> 33 [size =\"51448832\"]\n  28 -> 35 [size =\"51448832\"]\n  28 -> 42 [size =\"51448832\"]\n  28 -> 45 [size =\"51448832\"]\n  28 -> 46 [size =\"51448832\"]\n  29 [size=\"101693440\", alpha=\"0.05\", expect_size=\"40677376\"] \n  30 [size=\"33351680\", alpha=\"0.08\", expect_size=\"13340672\"] \n  31 [size=\"100902400\", alpha=\"0.18\", expect_size=\"40360960\"] \n  32 [size=\"112806400\", alpha=\"0.09\", expect_size=\"45122560\"] \n  33 [size=\"120857600\", alpha=\"0.09\", expect_size=\"48343040\"] \n  34 [size=\"42626560\", alpha=\"0.09\", expect_size=\"17050624\"] \n  35 [size=\"98309120\", alpha=\"0.05\", expect_size=\"39323648\"] \n  36 [size=\"123110400\", alpha=\"0.07\", expect_size=\"49244160\"] \n  37 [size=\"30848000\", alpha=\"0.09\", expect_size=\"12339200\"] \n  38 [size=\"29987840\", alpha=\"0.04\", expect_size=\"11995136\"] \n  39 [size=\"75952640\", alpha=\"0.04\", expect_size=\"30381056\"] \n  40 [size=\"103723520\", alpha=\"0.16\", expect_size=\"41489408\"] \n  41 [size=\"32829440\", alpha=\"0.16\", expect_size=\"13131776\"] \n  42 [size=\"22722560\", alpha=\"0.03\", expect_size=\"9089024\"] \n  43 [size=\"78277120\", alpha=\"0.16\", expect_size=\"31310848\"] \n  44 [size=\"128742400\", alpha=\"0.08\", expect_size=\"51496960\"] \n  45 [size=\"63027200\", alpha=\"0.11\", expect_size=\"25210880\"] \n  46 [size=\"92894720\", alpha=\"0.16\", expect_size=\"37157888\"] \n  47 [size=\"13888000\", alpha=\"0.10\", expect_size=\"5555200\"] \n  48 [size=\"64066560\", alpha=\"0.03\", expect_size=\"25626624\"] \n  49 [size=\"89121280\", alpha=\"0.11\", expect_size=\"35648512\"] \n  50 [size=\"112299520\", alpha=\"0.03\", expect_size=\"44919808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.458.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77871104\", alpha=\"0.04\", expect_size=\"38935552\"] \n  2 [size=\"43307008\", alpha=\"0.08\", expect_size=\"21653504\"] \n  2 -> 10 [size =\"21653504\"]\n  2 -> 11 [size =\"21653504\"]\n  3 [size=\"17285120\", alpha=\"0.10\", expect_size=\"8642560\"] \n  3 -> 9 [size =\"8642560\"]\n  3 -> 10 [size =\"8642560\"]\n  3 -> 12 [size =\"8642560\"]\n  4 [size=\"15675392\", alpha=\"0.15\", expect_size=\"7837696\"] \n  4 -> 7 [size =\"7837696\"]\n  4 -> 8 [size =\"7837696\"]\n  4 -> 10 [size =\"7837696\"]\n  5 [size=\"102522880\", alpha=\"0.15\", expect_size=\"51261440\"] \n  5 -> 7 [size =\"51261440\"]\n  6 [size=\"31639552\", alpha=\"0.19\", expect_size=\"15819776\"] \n  6 -> 7 [size =\"15819776\"]\n  7 [size=\"63727616\", alpha=\"0.14\", expect_size=\"31863808\"] \n  7 -> 17 [size =\"31863808\"]\n  8 [size=\"80513024\", alpha=\"0.01\", expect_size=\"40256512\"] \n  8 -> 14 [size =\"40256512\"]\n  9 [size=\"11534336\", alpha=\"0.07\", expect_size=\"5767168\"] \n  9 -> 13 [size =\"5767168\"]\n  9 -> 15 [size =\"5767168\"]\n  9 -> 18 [size =\"5767168\"]\n  10 [size=\"57491456\", alpha=\"0.04\", expect_size=\"28745728\"] \n  10 -> 16 [size =\"28745728\"]\n  10 -> 17 [size =\"28745728\"]\n  11 [size=\"32794624\", alpha=\"0.18\", expect_size=\"16397312\"] \n  11 -> 14 [size =\"16397312\"]\n  11 -> 15 [size =\"16397312\"]\n  11 -> 18 [size =\"16397312\"]\n  12 [size=\"49750016\", alpha=\"0.06\", expect_size=\"24875008\"] \n  12 -> 15 [size =\"24875008\"]\n  12 -> 18 [size =\"24875008\"]\n  13 [size=\"86024192\", alpha=\"0.06\", expect_size=\"43012096\"] \n  13 -> 23 [size =\"43012096\"]\n  14 [size=\"39518208\", alpha=\"0.01\", expect_size=\"19759104\"] \n  14 -> 21 [size =\"19759104\"]\n  15 [size=\"13668352\", alpha=\"0.15\", expect_size=\"6834176\"] \n  15 -> 19 [size =\"6834176\"]\n  15 -> 20 [size =\"6834176\"]\n  15 -> 21 [size =\"6834176\"]\n  16 [size=\"86331392\", alpha=\"0.03\", expect_size=\"43165696\"] \n  16 -> 20 [size =\"43165696\"]\n  16 -> 22 [size =\"43165696\"]\n  17 [size=\"79613952\", alpha=\"0.07\", expect_size=\"39806976\"] \n  17 -> 19 [size =\"39806976\"]\n  17 -> 22 [size =\"39806976\"]\n  17 -> 24 [size =\"39806976\"]\n  18 [size=\"50913280\", alpha=\"0.07\", expect_size=\"25456640\"] \n  18 -> 22 [size =\"25456640\"]\n  18 -> 23 [size =\"25456640\"]\n  19 [size=\"56567808\", alpha=\"0.12\", expect_size=\"28283904\"] \n  19 -> 26 [size =\"28283904\"]\n  19 -> 27 [size =\"28283904\"]\n  20 [size=\"87744512\", alpha=\"0.20\", expect_size=\"43872256\"] \n  20 -> 25 [size =\"43872256\"]\n  20 -> 30 [size =\"43872256\"]\n  21 [size=\"14481408\", alpha=\"0.01\", expect_size=\"7240704\"] \n  21 -> 25 [size =\"7240704\"]\n  21 -> 27 [size =\"7240704\"]\n  21 -> 28 [size =\"7240704\"]\n  21 -> 29 [size =\"7240704\"]\n  21 -> 30 [size =\"7240704\"]\n  22 [size=\"98856960\", alpha=\"0.10\", expect_size=\"49428480\"] \n  23 [size=\"32489472\", alpha=\"0.00\", expect_size=\"16244736\"] \n  23 -> 25 [size =\"16244736\"]\n  23 -> 26 [size =\"16244736\"]\n  23 -> 28 [size =\"16244736\"]\n  24 [size=\"62171136\", alpha=\"0.11\", expect_size=\"31085568\"] \n  24 -> 26 [size =\"31085568\"]\n  24 -> 27 [size =\"31085568\"]\n  25 [size=\"69228544\", alpha=\"0.02\", expect_size=\"34614272\"] \n  25 -> 32 [size =\"34614272\"]\n  25 -> 34 [size =\"34614272\"]\n  25 -> 35 [size =\"34614272\"]\n  25 -> 36 [size =\"34614272\"]\n  26 [size=\"44220416\", alpha=\"0.17\", expect_size=\"22110208\"] \n  26 -> 31 [size =\"22110208\"]\n  26 -> 34 [size =\"22110208\"]\n  27 [size=\"56496128\", alpha=\"0.04\", expect_size=\"28248064\"] \n  28 [size=\"90202112\", alpha=\"0.05\", expect_size=\"45101056\"] \n  28 -> 33 [size =\"45101056\"]\n  28 -> 35 [size =\"45101056\"]\n  29 [size=\"28592128\", alpha=\"0.07\", expect_size=\"14296064\"] \n  29 -> 32 [size =\"14296064\"]\n  29 -> 33 [size =\"14296064\"]\n  30 [size=\"87015424\", alpha=\"0.18\", expect_size=\"43507712\"] \n  30 -> 31 [size =\"43507712\"]\n  30 -> 32 [size =\"43507712\"]\n  30 -> 33 [size =\"43507712\"]\n  30 -> 34 [size =\"43507712\"]\n  31 [size=\"86046720\", alpha=\"0.14\", expect_size=\"43023360\"] \n  31 -> 40 [size =\"43023360\"]\n  32 [size=\"93071360\", alpha=\"0.19\", expect_size=\"46535680\"] \n  32 -> 37 [size =\"46535680\"]\n  32 -> 38 [size =\"46535680\"]\n  32 -> 39 [size =\"46535680\"]\n  32 -> 42 [size =\"46535680\"]\n  32 -> 43 [size =\"46535680\"]\n  33 [size=\"46540800\", alpha=\"0.19\", expect_size=\"23270400\"] \n  33 -> 41 [size =\"23270400\"]\n  33 -> 43 [size =\"23270400\"]\n  34 [size=\"47622144\", alpha=\"0.06\", expect_size=\"23811072\"] \n  34 -> 37 [size =\"23811072\"]\n  35 [size=\"101513216\", alpha=\"0.13\", expect_size=\"50756608\"] \n  35 -> 37 [size =\"50756608\"]\n  36 [size=\"17131520\", alpha=\"0.17\", expect_size=\"8565760\"] \n  36 -> 39 [size =\"8565760\"]\n  37 [size=\"98750464\", alpha=\"0.15\", expect_size=\"49375232\"] \n  37 -> 50 [size =\"49375232\"]\n  38 [size=\"22122496\", alpha=\"0.02\", expect_size=\"11061248\"] \n  38 -> 44 [size =\"11061248\"]\n  39 [size=\"46024704\", alpha=\"0.18\", expect_size=\"23012352\"] \n  39 -> 45 [size =\"23012352\"]\n  39 -> 46 [size =\"23012352\"]\n  39 -> 48 [size =\"23012352\"]\n  39 -> 49 [size =\"23012352\"]\n  40 [size=\"77129728\", alpha=\"0.11\", expect_size=\"38564864\"] \n  40 -> 44 [size =\"38564864\"]\n  40 -> 45 [size =\"38564864\"]\n  41 [size=\"68075520\", alpha=\"0.05\", expect_size=\"34037760\"] \n  41 -> 45 [size =\"34037760\"]\n  41 -> 47 [size =\"34037760\"]\n  41 -> 48 [size =\"34037760\"]\n  41 -> 50 [size =\"34037760\"]\n  42 [size=\"41168896\", alpha=\"0.17\", expect_size=\"20584448\"] \n  42 -> 44 [size =\"20584448\"]\n  42 -> 46 [size =\"20584448\"]\n  42 -> 50 [size =\"20584448\"]\n  43 [size=\"35676160\", alpha=\"0.14\", expect_size=\"17838080\"] \n  44 [size=\"32763904\", alpha=\"0.02\", expect_size=\"16381952\"] \n  45 [size=\"61468672\", alpha=\"0.02\", expect_size=\"30734336\"] \n  46 [size=\"30601216\", alpha=\"0.10\", expect_size=\"15300608\"] \n  47 [size=\"16009216\", alpha=\"0.07\", expect_size=\"8004608\"] \n  48 [size=\"86820864\", alpha=\"0.02\", expect_size=\"43410432\"] \n  49 [size=\"94722048\", alpha=\"0.20\", expect_size=\"47361024\"] \n  50 [size=\"85796864\", alpha=\"0.14\", expect_size=\"42898432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.459.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90241024\", alpha=\"0.14\", expect_size=\"45120512\"] \n  1 -> 9 [size =\"45120512\"]\n  1 -> 10 [size =\"45120512\"]\n  2 [size=\"30470144\", alpha=\"0.11\", expect_size=\"15235072\"] \n  2 -> 10 [size =\"15235072\"]\n  3 [size=\"52477952\", alpha=\"0.12\", expect_size=\"26238976\"] \n  3 -> 8 [size =\"26238976\"]\n  3 -> 9 [size =\"26238976\"]\n  3 -> 10 [size =\"26238976\"]\n  4 [size=\"72435712\", alpha=\"0.03\", expect_size=\"36217856\"] \n  4 -> 9 [size =\"36217856\"]\n  5 [size=\"36976640\", alpha=\"0.10\", expect_size=\"18488320\"] \n  5 -> 10 [size =\"18488320\"]\n  5 -> 11 [size =\"18488320\"]\n  6 [size=\"45324288\", alpha=\"0.00\", expect_size=\"22662144\"] \n  6 -> 11 [size =\"22662144\"]\n  7 [size=\"70549504\", alpha=\"0.08\", expect_size=\"35274752\"] \n  7 -> 12 [size =\"35274752\"]\n  8 [size=\"33583104\", alpha=\"0.10\", expect_size=\"16791552\"] \n  8 -> 13 [size =\"16791552\"]\n  8 -> 17 [size =\"16791552\"]\n  8 -> 18 [size =\"16791552\"]\n  9 [size=\"70627328\", alpha=\"0.17\", expect_size=\"35313664\"] \n  9 -> 13 [size =\"35313664\"]\n  9 -> 14 [size =\"35313664\"]\n  9 -> 16 [size =\"35313664\"]\n  9 -> 17 [size =\"35313664\"]\n  9 -> 18 [size =\"35313664\"]\n  10 [size=\"75048960\", alpha=\"0.04\", expect_size=\"37524480\"] \n  10 -> 13 [size =\"37524480\"]\n  10 -> 14 [size =\"37524480\"]\n  10 -> 15 [size =\"37524480\"]\n  10 -> 16 [size =\"37524480\"]\n  10 -> 18 [size =\"37524480\"]\n  11 [size=\"12109824\", alpha=\"0.08\", expect_size=\"6054912\"] \n  11 -> 13 [size =\"6054912\"]\n  11 -> 14 [size =\"6054912\"]\n  11 -> 16 [size =\"6054912\"]\n  12 [size=\"76419072\", alpha=\"0.08\", expect_size=\"38209536\"] \n  12 -> 14 [size =\"38209536\"]\n  12 -> 14 [size =\"38209536\"]\n  12 -> 15 [size =\"38209536\"]\n  12 -> 16 [size =\"38209536\"]\n  12 -> 17 [size =\"38209536\"]\n  12 -> 18 [size =\"38209536\"]\n  13 [size=\"35581952\", alpha=\"0.16\", expect_size=\"17790976\"] \n  13 -> 21 [size =\"17790976\"]\n  13 -> 22 [size =\"17790976\"]\n  13 -> 23 [size =\"17790976\"]\n  13 -> 24 [size =\"17790976\"]\n  13 -> 25 [size =\"17790976\"]\n  13 -> 26 [size =\"17790976\"]\n  14 [size=\"92030976\", alpha=\"0.07\", expect_size=\"46015488\"] \n  14 -> 20 [size =\"46015488\"]\n  14 -> 21 [size =\"46015488\"]\n  14 -> 22 [size =\"46015488\"]\n  14 -> 23 [size =\"46015488\"]\n  14 -> 24 [size =\"46015488\"]\n  14 -> 25 [size =\"46015488\"]\n  14 -> 26 [size =\"46015488\"]\n  15 [size=\"10653696\", alpha=\"0.11\", expect_size=\"5326848\"] \n  15 -> 21 [size =\"5326848\"]\n  15 -> 23 [size =\"5326848\"]\n  15 -> 24 [size =\"5326848\"]\n  16 [size=\"56678400\", alpha=\"0.19\", expect_size=\"28339200\"] \n  16 -> 20 [size =\"28339200\"]\n  16 -> 21 [size =\"28339200\"]\n  16 -> 23 [size =\"28339200\"]\n  17 [size=\"57552896\", alpha=\"0.07\", expect_size=\"28776448\"] \n  17 -> 19 [size =\"28776448\"]\n  17 -> 21 [size =\"28776448\"]\n  17 -> 22 [size =\"28776448\"]\n  17 -> 23 [size =\"28776448\"]\n  17 -> 24 [size =\"28776448\"]\n  17 -> 25 [size =\"28776448\"]\n  18 [size=\"95326208\", alpha=\"0.07\", expect_size=\"47663104\"] \n  18 -> 19 [size =\"47663104\"]\n  18 -> 20 [size =\"47663104\"]\n  18 -> 21 [size =\"47663104\"]\n  18 -> 22 [size =\"47663104\"]\n  18 -> 23 [size =\"47663104\"]\n  18 -> 24 [size =\"47663104\"]\n  18 -> 26 [size =\"47663104\"]\n  19 [size=\"48261120\", alpha=\"0.05\", expect_size=\"24130560\"] \n  19 -> 27 [size =\"24130560\"]\n  19 -> 28 [size =\"24130560\"]\n  19 -> 29 [size =\"24130560\"]\n  19 -> 32 [size =\"24130560\"]\n  20 [size=\"35334144\", alpha=\"0.05\", expect_size=\"17667072\"] \n  20 -> 30 [size =\"17667072\"]\n  20 -> 32 [size =\"17667072\"]\n  21 [size=\"54132736\", alpha=\"0.02\", expect_size=\"27066368\"] \n  21 -> 30 [size =\"27066368\"]\n  21 -> 32 [size =\"27066368\"]\n  22 [size=\"92526592\", alpha=\"0.04\", expect_size=\"46263296\"] \n  22 -> 27 [size =\"46263296\"]\n  22 -> 29 [size =\"46263296\"]\n  22 -> 30 [size =\"46263296\"]\n  23 [size=\"36386816\", alpha=\"0.14\", expect_size=\"18193408\"] \n  23 -> 27 [size =\"18193408\"]\n  23 -> 30 [size =\"18193408\"]\n  23 -> 31 [size =\"18193408\"]\n  24 [size=\"16338944\", alpha=\"0.18\", expect_size=\"8169472\"] \n  24 -> 27 [size =\"8169472\"]\n  24 -> 28 [size =\"8169472\"]\n  24 -> 29 [size =\"8169472\"]\n  24 -> 30 [size =\"8169472\"]\n  25 [size=\"49479680\", alpha=\"0.07\", expect_size=\"24739840\"] \n  25 -> 27 [size =\"24739840\"]\n  25 -> 29 [size =\"24739840\"]\n  25 -> 31 [size =\"24739840\"]\n  26 [size=\"100691968\", alpha=\"0.04\", expect_size=\"50345984\"] \n  26 -> 27 [size =\"50345984\"]\n  26 -> 30 [size =\"50345984\"]\n  26 -> 31 [size =\"50345984\"]\n  26 -> 32 [size =\"50345984\"]\n  27 [size=\"95825920\", alpha=\"0.13\", expect_size=\"47912960\"] \n  27 -> 33 [size =\"47912960\"]\n  28 [size=\"34531328\", alpha=\"0.07\", expect_size=\"17265664\"] \n  28 -> 34 [size =\"17265664\"]\n  28 -> 36 [size =\"17265664\"]\n  28 -> 37 [size =\"17265664\"]\n  29 [size=\"66291712\", alpha=\"0.14\", expect_size=\"33145856\"] \n  29 -> 33 [size =\"33145856\"]\n  30 [size=\"88664064\", alpha=\"0.15\", expect_size=\"44332032\"] \n  30 -> 35 [size =\"44332032\"]\n  30 -> 36 [size =\"44332032\"]\n  30 -> 37 [size =\"44332032\"]\n  31 [size=\"18581504\", alpha=\"0.16\", expect_size=\"9290752\"] \n  31 -> 36 [size =\"9290752\"]\n  31 -> 37 [size =\"9290752\"]\n  32 [size=\"30173184\", alpha=\"0.11\", expect_size=\"15086592\"] \n  32 -> 35 [size =\"15086592\"]\n  32 -> 36 [size =\"15086592\"]\n  32 -> 37 [size =\"15086592\"]\n  33 [size=\"49053696\", alpha=\"0.11\", expect_size=\"24526848\"] \n  33 -> 38 [size =\"24526848\"]\n  33 -> 39 [size =\"24526848\"]\n  33 -> 40 [size =\"24526848\"]\n  34 [size=\"22845440\", alpha=\"0.09\", expect_size=\"11422720\"] \n  34 -> 38 [size =\"11422720\"]\n  34 -> 40 [size =\"11422720\"]\n  34 -> 40 [size =\"11422720\"]\n  34 -> 42 [size =\"11422720\"]\n  35 [size=\"13498368\", alpha=\"0.06\", expect_size=\"6749184\"] \n  35 -> 38 [size =\"6749184\"]\n  35 -> 39 [size =\"6749184\"]\n  35 -> 40 [size =\"6749184\"]\n  35 -> 41 [size =\"6749184\"]\n  35 -> 42 [size =\"6749184\"]\n  36 [size=\"47505408\", alpha=\"0.14\", expect_size=\"23752704\"] \n  36 -> 38 [size =\"23752704\"]\n  36 -> 42 [size =\"23752704\"]\n  37 [size=\"65333248\", alpha=\"0.11\", expect_size=\"32666624\"] \n  37 -> 38 [size =\"32666624\"]\n  37 -> 40 [size =\"32666624\"]\n  37 -> 42 [size =\"32666624\"]\n  38 [size=\"32675840\", alpha=\"0.06\", expect_size=\"16337920\"] \n  38 -> 43 [size =\"16337920\"]\n  38 -> 44 [size =\"16337920\"]\n  38 -> 45 [size =\"16337920\"]\n  39 [size=\"67000320\", alpha=\"0.09\", expect_size=\"33500160\"] \n  39 -> 44 [size =\"33500160\"]\n  39 -> 45 [size =\"33500160\"]\n  39 -> 45 [size =\"33500160\"]\n  39 -> 48 [size =\"33500160\"]\n  40 [size=\"39706624\", alpha=\"0.18\", expect_size=\"19853312\"] \n  40 -> 43 [size =\"19853312\"]\n  40 -> 44 [size =\"19853312\"]\n  40 -> 45 [size =\"19853312\"]\n  40 -> 48 [size =\"19853312\"]\n  41 [size=\"15360000\", alpha=\"0.16\", expect_size=\"7680000\"] \n  41 -> 43 [size =\"7680000\"]\n  41 -> 44 [size =\"7680000\"]\n  41 -> 46 [size =\"7680000\"]\n  41 -> 47 [size =\"7680000\"]\n  41 -> 48 [size =\"7680000\"]\n  42 [size=\"89956352\", alpha=\"0.11\", expect_size=\"44978176\"] \n  42 -> 43 [size =\"44978176\"]\n  42 -> 44 [size =\"44978176\"]\n  42 -> 45 [size =\"44978176\"]\n  43 [size=\"46313472\", alpha=\"0.12\", expect_size=\"23156736\"] \n  43 -> 50 [size =\"23156736\"]\n  44 [size=\"98275328\", alpha=\"0.14\", expect_size=\"49137664\"] \n  44 -> 49 [size =\"49137664\"]\n  45 [size=\"44271616\", alpha=\"0.04\", expect_size=\"22135808\"] \n  45 -> 49 [size =\"22135808\"]\n  46 [size=\"73213952\", alpha=\"0.13\", expect_size=\"36606976\"] \n  46 -> 49 [size =\"36606976\"]\n  47 [size=\"42555392\", alpha=\"0.01\", expect_size=\"21277696\"] \n  47 -> 49 [size =\"21277696\"]\n  48 [size=\"93732864\", alpha=\"0.13\", expect_size=\"46866432\"] \n  49 [size=\"28475392\", alpha=\"0.18\", expect_size=\"14237696\"] \n  50 [size=\"73302016\", alpha=\"0.19\", expect_size=\"36651008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19015680\", alpha=\"0.10\", expect_size=\"9507840\"] \n  1 -> 10 [size =\"9507840\"]\n  1 -> 11 [size =\"9507840\"]\n  1 -> 15 [size =\"9507840\"]\n  1 -> 16 [size =\"9507840\"]\n  2 [size=\"71915520\", alpha=\"0.03\", expect_size=\"35957760\"] \n  2 -> 11 [size =\"35957760\"]\n  2 -> 14 [size =\"35957760\"]\n  2 -> 15 [size =\"35957760\"]\n  3 [size=\"31782912\", alpha=\"0.13\", expect_size=\"15891456\"] \n  3 -> 15 [size =\"15891456\"]\n  4 [size=\"52967424\", alpha=\"0.01\", expect_size=\"26483712\"] \n  4 -> 10 [size =\"26483712\"]\n  4 -> 13 [size =\"26483712\"]\n  4 -> 15 [size =\"26483712\"]\n  5 [size=\"77373440\", alpha=\"0.06\", expect_size=\"38686720\"] \n  5 -> 10 [size =\"38686720\"]\n  5 -> 11 [size =\"38686720\"]\n  5 -> 15 [size =\"38686720\"]\n  6 [size=\"91797504\", alpha=\"0.09\", expect_size=\"45898752\"] \n  6 -> 10 [size =\"45898752\"]\n  6 -> 12 [size =\"45898752\"]\n  7 [size=\"46168064\", alpha=\"0.06\", expect_size=\"23084032\"] \n  7 -> 13 [size =\"23084032\"]\n  8 [size=\"58175488\", alpha=\"0.03\", expect_size=\"29087744\"] \n  8 -> 13 [size =\"29087744\"]\n  8 -> 14 [size =\"29087744\"]\n  8 -> 15 [size =\"29087744\"]\n  8 -> 16 [size =\"29087744\"]\n  8 -> 17 [size =\"29087744\"]\n  9 [size=\"28264448\", alpha=\"0.12\", expect_size=\"14132224\"] \n  9 -> 11 [size =\"14132224\"]\n  9 -> 13 [size =\"14132224\"]\n  9 -> 16 [size =\"14132224\"]\n  9 -> 16 [size =\"14132224\"]\n  10 [size=\"33685504\", alpha=\"0.19\", expect_size=\"16842752\"] \n  10 -> 21 [size =\"16842752\"]\n  10 -> 22 [size =\"16842752\"]\n  10 -> 22 [size =\"16842752\"]\n  10 -> 23 [size =\"16842752\"]\n  11 [size=\"13334528\", alpha=\"0.09\", expect_size=\"6667264\"] \n  11 -> 19 [size =\"6667264\"]\n  11 -> 22 [size =\"6667264\"]\n  12 [size=\"60719104\", alpha=\"0.03\", expect_size=\"30359552\"] \n  12 -> 18 [size =\"30359552\"]\n  12 -> 20 [size =\"30359552\"]\n  12 -> 21 [size =\"30359552\"]\n  12 -> 22 [size =\"30359552\"]\n  12 -> 23 [size =\"30359552\"]\n  13 [size=\"72517632\", alpha=\"0.18\", expect_size=\"36258816\"] \n  13 -> 18 [size =\"36258816\"]\n  13 -> 22 [size =\"36258816\"]\n  13 -> 23 [size =\"36258816\"]\n  14 [size=\"41431040\", alpha=\"0.10\", expect_size=\"20715520\"] \n  14 -> 18 [size =\"20715520\"]\n  14 -> 20 [size =\"20715520\"]\n  14 -> 21 [size =\"20715520\"]\n  14 -> 23 [size =\"20715520\"]\n  15 [size=\"47720448\", alpha=\"0.13\", expect_size=\"23860224\"] \n  15 -> 18 [size =\"23860224\"]\n  15 -> 19 [size =\"23860224\"]\n  15 -> 20 [size =\"23860224\"]\n  15 -> 21 [size =\"23860224\"]\n  15 -> 22 [size =\"23860224\"]\n  16 [size=\"76490752\", alpha=\"0.20\", expect_size=\"38245376\"] \n  16 -> 21 [size =\"38245376\"]\n  16 -> 22 [size =\"38245376\"]\n  17 [size=\"26419200\", alpha=\"0.15\", expect_size=\"13209600\"] \n  17 -> 20 [size =\"13209600\"]\n  17 -> 21 [size =\"13209600\"]\n  17 -> 22 [size =\"13209600\"]\n  17 -> 23 [size =\"13209600\"]\n  18 [size=\"52860928\", alpha=\"0.08\", expect_size=\"26430464\"] \n  18 -> 28 [size =\"26430464\"]\n  18 -> 29 [size =\"26430464\"]\n  19 [size=\"68450304\", alpha=\"0.10\", expect_size=\"34225152\"] \n  19 -> 27 [size =\"34225152\"]\n  19 -> 29 [size =\"34225152\"]\n  20 [size=\"32552960\", alpha=\"0.05\", expect_size=\"16276480\"] \n  21 [size=\"29921280\", alpha=\"0.02\", expect_size=\"14960640\"] \n  21 -> 27 [size =\"14960640\"]\n  21 -> 29 [size =\"14960640\"]\n  22 [size=\"71077888\", alpha=\"0.12\", expect_size=\"35538944\"] \n  22 -> 26 [size =\"35538944\"]\n  22 -> 29 [size =\"35538944\"]\n  23 [size=\"87552000\", alpha=\"0.07\", expect_size=\"43776000\"] \n  23 -> 24 [size =\"43776000\"]\n  23 -> 25 [size =\"43776000\"]\n  23 -> 27 [size =\"43776000\"]\n  23 -> 29 [size =\"43776000\"]\n  24 [size=\"77047808\", alpha=\"0.11\", expect_size=\"38523904\"] \n  24 -> 30 [size =\"38523904\"]\n  25 [size=\"29038592\", alpha=\"0.09\", expect_size=\"14519296\"] \n  25 -> 30 [size =\"14519296\"]\n  25 -> 31 [size =\"14519296\"]\n  26 [size=\"91389952\", alpha=\"0.04\", expect_size=\"45694976\"] \n  26 -> 32 [size =\"45694976\"]\n  27 [size=\"91181056\", alpha=\"0.07\", expect_size=\"45590528\"] \n  27 -> 31 [size =\"45590528\"]\n  27 -> 32 [size =\"45590528\"]\n  28 [size=\"66990080\", alpha=\"0.19\", expect_size=\"33495040\"] \n  28 -> 30 [size =\"33495040\"]\n  28 -> 31 [size =\"33495040\"]\n  28 -> 32 [size =\"33495040\"]\n  29 [size=\"10752000\", alpha=\"0.16\", expect_size=\"5376000\"] \n  29 -> 31 [size =\"5376000\"]\n  29 -> 32 [size =\"5376000\"]\n  30 [size=\"56446976\", alpha=\"0.17\", expect_size=\"28223488\"] \n  30 -> 33 [size =\"28223488\"]\n  30 -> 34 [size =\"28223488\"]\n  30 -> 35 [size =\"28223488\"]\n  30 -> 37 [size =\"28223488\"]\n  30 -> 38 [size =\"28223488\"]\n  30 -> 39 [size =\"28223488\"]\n  31 [size=\"80338944\", alpha=\"0.20\", expect_size=\"40169472\"] \n  31 -> 35 [size =\"40169472\"]\n  31 -> 39 [size =\"40169472\"]\n  31 -> 40 [size =\"40169472\"]\n  32 [size=\"90961920\", alpha=\"0.12\", expect_size=\"45480960\"] \n  32 -> 35 [size =\"45480960\"]\n  32 -> 36 [size =\"45480960\"]\n  32 -> 38 [size =\"45480960\"]\n  33 [size=\"55371776\", alpha=\"0.18\", expect_size=\"27685888\"] \n  33 -> 41 [size =\"27685888\"]\n  33 -> 43 [size =\"27685888\"]\n  33 -> 45 [size =\"27685888\"]\n  34 [size=\"89239552\", alpha=\"0.11\", expect_size=\"44619776\"] \n  34 -> 41 [size =\"44619776\"]\n  34 -> 43 [size =\"44619776\"]\n  34 -> 44 [size =\"44619776\"]\n  35 [size=\"46303232\", alpha=\"0.11\", expect_size=\"23151616\"] \n  35 -> 41 [size =\"23151616\"]\n  35 -> 42 [size =\"23151616\"]\n  35 -> 45 [size =\"23151616\"]\n  36 [size=\"87824384\", alpha=\"0.05\", expect_size=\"43912192\"] \n  36 -> 42 [size =\"43912192\"]\n  36 -> 44 [size =\"43912192\"]\n  36 -> 45 [size =\"43912192\"]\n  37 [size=\"12001280\", alpha=\"0.03\", expect_size=\"6000640\"] \n  37 -> 41 [size =\"6000640\"]\n  37 -> 45 [size =\"6000640\"]\n  38 [size=\"43261952\", alpha=\"0.10\", expect_size=\"21630976\"] \n  38 -> 41 [size =\"21630976\"]\n  38 -> 45 [size =\"21630976\"]\n  39 [size=\"40552448\", alpha=\"0.09\", expect_size=\"20276224\"] \n  39 -> 41 [size =\"20276224\"]\n  39 -> 45 [size =\"20276224\"]\n  40 [size=\"21655552\", alpha=\"0.12\", expect_size=\"10827776\"] \n  40 -> 41 [size =\"10827776\"]\n  40 -> 42 [size =\"10827776\"]\n  40 -> 43 [size =\"10827776\"]\n  40 -> 44 [size =\"10827776\"]\n  41 [size=\"104140800\", alpha=\"0.00\", expect_size=\"52070400\"] \n  41 -> 46 [size =\"52070400\"]\n  41 -> 48 [size =\"52070400\"]\n  41 -> 49 [size =\"52070400\"]\n  42 [size=\"102117376\", alpha=\"0.01\", expect_size=\"51058688\"] \n  42 -> 46 [size =\"51058688\"]\n  42 -> 48 [size =\"51058688\"]\n  43 [size=\"65814528\", alpha=\"0.18\", expect_size=\"32907264\"] \n  43 -> 46 [size =\"32907264\"]\n  43 -> 48 [size =\"32907264\"]\n  43 -> 50 [size =\"32907264\"]\n  44 [size=\"57268224\", alpha=\"0.09\", expect_size=\"28634112\"] \n  44 -> 46 [size =\"28634112\"]\n  44 -> 48 [size =\"28634112\"]\n  44 -> 50 [size =\"28634112\"]\n  45 [size=\"13053952\", alpha=\"0.04\", expect_size=\"6526976\"] \n  45 -> 46 [size =\"6526976\"]\n  45 -> 47 [size =\"6526976\"]\n  46 [size=\"64778240\", alpha=\"0.16\", expect_size=\"32389120\"] \n  47 [size=\"89702400\", alpha=\"0.05\", expect_size=\"44851200\"] \n  48 [size=\"103761920\", alpha=\"0.06\", expect_size=\"51880960\"] \n  49 [size=\"54960128\", alpha=\"0.07\", expect_size=\"27480064\"] \n  50 [size=\"95635456\", alpha=\"0.18\", expect_size=\"47817728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.460.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21951147\", alpha=\"0.02\", expect_size=\"6585344\"] \n  1 -> 2 [size =\"6585344\"]\n  2 [size=\"36355413\", alpha=\"0.08\", expect_size=\"10906624\"] \n  2 -> 3 [size =\"10906624\"]\n  3 [size=\"171349333\", alpha=\"0.19\", expect_size=\"51404800\"] \n  3 -> 4 [size =\"51404800\"]\n  4 [size=\"26699093\", alpha=\"0.18\", expect_size=\"8009728\"] \n  4 -> 5 [size =\"8009728\"]\n  5 [size=\"165157547\", alpha=\"0.07\", expect_size=\"49547264\"] \n  5 -> 6 [size =\"49547264\"]\n  6 [size=\"154760533\", alpha=\"0.16\", expect_size=\"46428160\"] \n  6 -> 7 [size =\"46428160\"]\n  7 [size=\"119282347\", alpha=\"0.04\", expect_size=\"35784704\"] \n  7 -> 8 [size =\"35784704\"]\n  8 [size=\"85814613\", alpha=\"0.11\", expect_size=\"25744384\"] \n  8 -> 9 [size =\"25744384\"]\n  9 [size=\"54258347\", alpha=\"0.20\", expect_size=\"16277504\"] \n  9 -> 10 [size =\"16277504\"]\n  10 [size=\"158184107\", alpha=\"0.11\", expect_size=\"47455232\"] \n  10 -> 11 [size =\"47455232\"]\n  11 [size=\"110981120\", alpha=\"0.07\", expect_size=\"33294336\"] \n  11 -> 12 [size =\"33294336\"]\n  12 [size=\"124231680\", alpha=\"0.18\", expect_size=\"37269504\"] \n  12 -> 13 [size =\"37269504\"]\n  13 [size=\"30846293\", alpha=\"0.07\", expect_size=\"9253888\"] \n  13 -> 14 [size =\"9253888\"]\n  14 [size=\"19128320\", alpha=\"0.16\", expect_size=\"5738496\"] \n  14 -> 15 [size =\"5738496\"]\n  15 [size=\"159371947\", alpha=\"0.14\", expect_size=\"47811584\"] \n  15 -> 16 [size =\"47811584\"]\n  16 [size=\"57518080\", alpha=\"0.05\", expect_size=\"17255424\"] \n  16 -> 17 [size =\"17255424\"]\n  17 [size=\"25722880\", alpha=\"0.08\", expect_size=\"7716864\"] \n  17 -> 18 [size =\"7716864\"]\n  18 [size=\"54435840\", alpha=\"0.07\", expect_size=\"16330752\"] \n  18 -> 19 [size =\"16330752\"]\n  19 [size=\"143561387\", alpha=\"0.14\", expect_size=\"43068416\"] \n  19 -> 20 [size =\"43068416\"]\n  20 [size=\"142646613\", alpha=\"0.14\", expect_size=\"42793984\"] \n  20 -> 21 [size =\"42793984\"]\n  21 [size=\"70280533\", alpha=\"0.15\", expect_size=\"21084160\"] \n  21 -> 22 [size =\"21084160\"]\n  22 [size=\"126569813\", alpha=\"0.18\", expect_size=\"37970944\"] \n  22 -> 23 [size =\"37970944\"]\n  23 [size=\"109861547\", alpha=\"0.01\", expect_size=\"32958464\"] \n  23 -> 24 [size =\"32958464\"]\n  24 [size=\"164000427\", alpha=\"0.05\", expect_size=\"49200128\"] \n  24 -> 25 [size =\"49200128\"]\n  25 [size=\"133468160\", alpha=\"0.07\", expect_size=\"40040448\"] \n  25 -> 26 [size =\"40040448\"]\n  26 [size=\"86780587\", alpha=\"0.07\", expect_size=\"26034176\"] \n  26 -> 27 [size =\"26034176\"]\n  27 [size=\"128105813\", alpha=\"0.00\", expect_size=\"38431744\"] \n  27 -> 28 [size =\"38431744\"]\n  28 [size=\"34887680\", alpha=\"0.02\", expect_size=\"10466304\"] \n  28 -> 29 [size =\"10466304\"]\n  29 [size=\"91453440\", alpha=\"0.08\", expect_size=\"27436032\"] \n  29 -> 30 [size =\"27436032\"]\n  30 [size=\"46977707\", alpha=\"0.12\", expect_size=\"14093312\"] \n  30 -> 31 [size =\"14093312\"]\n  31 [size=\"160402773\", alpha=\"0.08\", expect_size=\"48120832\"] \n  31 -> 32 [size =\"48120832\"]\n  32 [size=\"121623893\", alpha=\"0.18\", expect_size=\"36487168\"] \n  32 -> 33 [size =\"36487168\"]\n  33 [size=\"106816853\", alpha=\"0.09\", expect_size=\"32045056\"] \n  33 -> 34 [size =\"32045056\"]\n  34 [size=\"112561493\", alpha=\"0.01\", expect_size=\"33768448\"] \n  34 -> 35 [size =\"33768448\"]\n  35 [size=\"148087467\", alpha=\"0.11\", expect_size=\"44426240\"] \n  35 -> 36 [size =\"44426240\"]\n  36 [size=\"46499840\", alpha=\"0.05\", expect_size=\"13949952\"] \n  36 -> 37 [size =\"13949952\"]\n  37 [size=\"102376107\", alpha=\"0.01\", expect_size=\"30712832\"] \n  37 -> 38 [size =\"30712832\"]\n  38 [size=\"102946133\", alpha=\"0.02\", expect_size=\"30883840\"] \n  38 -> 39 [size =\"30883840\"]\n  39 [size=\"116551680\", alpha=\"0.18\", expect_size=\"34965504\"] \n  39 -> 40 [size =\"34965504\"]\n  40 [size=\"22688427\", alpha=\"0.11\", expect_size=\"6806528\"] \n  40 -> 41 [size =\"6806528\"]\n  41 [size=\"119357440\", alpha=\"0.10\", expect_size=\"35807232\"] \n  41 -> 42 [size =\"35807232\"]\n  42 [size=\"28204373\", alpha=\"0.03\", expect_size=\"8461312\"] \n  42 -> 43 [size =\"8461312\"]\n  43 [size=\"170554027\", alpha=\"0.08\", expect_size=\"51166208\"] \n  43 -> 44 [size =\"51166208\"]\n  44 [size=\"87927467\", alpha=\"0.11\", expect_size=\"26378240\"] \n  44 -> 45 [size =\"26378240\"]\n  45 [size=\"96542720\", alpha=\"0.09\", expect_size=\"28962816\"] \n  45 -> 46 [size =\"28962816\"]\n  46 [size=\"23732907\", alpha=\"0.16\", expect_size=\"7119872\"] \n  46 -> 47 [size =\"7119872\"]\n  47 [size=\"66819413\", alpha=\"0.17\", expect_size=\"20045824\"] \n  47 -> 48 [size =\"20045824\"]\n  48 [size=\"76769280\", alpha=\"0.00\", expect_size=\"23030784\"] \n  48 -> 49 [size =\"23030784\"]\n  49 [size=\"90538667\", alpha=\"0.13\", expect_size=\"27161600\"] \n  49 -> 50 [size =\"27161600\"]\n  50 [size=\"76933120\", alpha=\"0.09\", expect_size=\"23079936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.461.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124859733\", alpha=\"0.06\", expect_size=\"37457920\"] \n  1 -> 12 [size =\"37457920\"]\n  2 [size=\"67092480\", alpha=\"0.00\", expect_size=\"20127744\"] \n  2 -> 11 [size =\"20127744\"]\n  3 [size=\"61723307\", alpha=\"0.03\", expect_size=\"18516992\"] \n  3 -> 10 [size =\"18516992\"]\n  3 -> 11 [size =\"18516992\"]\n  3 -> 12 [size =\"18516992\"]\n  4 [size=\"84538027\", alpha=\"0.08\", expect_size=\"25361408\"] \n  4 -> 9 [size =\"25361408\"]\n  4 -> 10 [size =\"25361408\"]\n  4 -> 12 [size =\"25361408\"]\n  5 [size=\"173755733\", alpha=\"0.09\", expect_size=\"52126720\"] \n  5 -> 8 [size =\"52126720\"]\n  5 -> 9 [size =\"52126720\"]\n  5 -> 10 [size =\"52126720\"]\n  6 [size=\"140468907\", alpha=\"0.07\", expect_size=\"42140672\"] \n  6 -> 11 [size =\"42140672\"]\n  6 -> 12 [size =\"42140672\"]\n  7 [size=\"82083840\", alpha=\"0.13\", expect_size=\"24625152\"] \n  7 -> 11 [size =\"24625152\"]\n  7 -> 12 [size =\"24625152\"]\n  8 [size=\"48674133\", alpha=\"0.18\", expect_size=\"14602240\"] \n  8 -> 13 [size =\"14602240\"]\n  8 -> 15 [size =\"14602240\"]\n  8 -> 16 [size =\"14602240\"]\n  9 [size=\"64310613\", alpha=\"0.10\", expect_size=\"19293184\"] \n  9 -> 15 [size =\"19293184\"]\n  9 -> 16 [size =\"19293184\"]\n  9 -> 17 [size =\"19293184\"]\n  10 [size=\"131235840\", alpha=\"0.10\", expect_size=\"39370752\"] \n  10 -> 14 [size =\"39370752\"]\n  10 -> 15 [size =\"39370752\"]\n  11 [size=\"60337493\", alpha=\"0.05\", expect_size=\"18101248\"] \n  11 -> 16 [size =\"18101248\"]\n  11 -> 17 [size =\"18101248\"]\n  12 [size=\"110967467\", alpha=\"0.19\", expect_size=\"33290240\"] \n  12 -> 17 [size =\"33290240\"]\n  13 [size=\"114899627\", alpha=\"0.11\", expect_size=\"34469888\"] \n  13 -> 19 [size =\"34469888\"]\n  13 -> 20 [size =\"34469888\"]\n  14 [size=\"137656320\", alpha=\"0.15\", expect_size=\"41296896\"] \n  14 -> 19 [size =\"41296896\"]\n  14 -> 20 [size =\"41296896\"]\n  14 -> 21 [size =\"41296896\"]\n  14 -> 22 [size =\"41296896\"]\n  15 [size=\"45561173\", alpha=\"0.05\", expect_size=\"13668352\"] \n  15 -> 18 [size =\"13668352\"]\n  15 -> 19 [size =\"13668352\"]\n  15 -> 21 [size =\"13668352\"]\n  16 [size=\"117459627\", alpha=\"0.01\", expect_size=\"35237888\"] \n  16 -> 22 [size =\"35237888\"]\n  17 [size=\"169441280\", alpha=\"0.06\", expect_size=\"50832384\"] \n  17 -> 20 [size =\"50832384\"]\n  17 -> 21 [size =\"50832384\"]\n  17 -> 22 [size =\"50832384\"]\n  18 [size=\"111974400\", alpha=\"0.02\", expect_size=\"33592320\"] \n  18 -> 24 [size =\"33592320\"]\n  18 -> 26 [size =\"33592320\"]\n  18 -> 28 [size =\"33592320\"]\n  19 [size=\"93801813\", alpha=\"0.02\", expect_size=\"28140544\"] \n  19 -> 25 [size =\"28140544\"]\n  19 -> 26 [size =\"28140544\"]\n  19 -> 29 [size =\"28140544\"]\n  20 [size=\"169052160\", alpha=\"0.12\", expect_size=\"50715648\"] \n  20 -> 26 [size =\"50715648\"]\n  20 -> 28 [size =\"50715648\"]\n  20 -> 29 [size =\"50715648\"]\n  21 [size=\"88903680\", alpha=\"0.17\", expect_size=\"26671104\"] \n  21 -> 23 [size =\"26671104\"]\n  21 -> 24 [size =\"26671104\"]\n  21 -> 25 [size =\"26671104\"]\n  21 -> 28 [size =\"26671104\"]\n  21 -> 29 [size =\"26671104\"]\n  22 [size=\"125279573\", alpha=\"0.08\", expect_size=\"37583872\"] \n  22 -> 23 [size =\"37583872\"]\n  22 -> 24 [size =\"37583872\"]\n  22 -> 25 [size =\"37583872\"]\n  22 -> 26 [size =\"37583872\"]\n  22 -> 27 [size =\"37583872\"]\n  23 [size=\"114534400\", alpha=\"0.04\", expect_size=\"34360320\"] \n  23 -> 32 [size =\"34360320\"]\n  24 [size=\"41434453\", alpha=\"0.09\", expect_size=\"12430336\"] \n  24 -> 34 [size =\"12430336\"]\n  25 [size=\"157924693\", alpha=\"0.14\", expect_size=\"47377408\"] \n  25 -> 30 [size =\"47377408\"]\n  25 -> 34 [size =\"47377408\"]\n  26 [size=\"38000640\", alpha=\"0.14\", expect_size=\"11400192\"] \n  26 -> 32 [size =\"11400192\"]\n  26 -> 35 [size =\"11400192\"]\n  27 [size=\"46568107\", alpha=\"0.03\", expect_size=\"13970432\"] \n  27 -> 31 [size =\"13970432\"]\n  27 -> 33 [size =\"13970432\"]\n  27 -> 35 [size =\"13970432\"]\n  28 [size=\"96942080\", alpha=\"0.15\", expect_size=\"29082624\"] \n  28 -> 35 [size =\"29082624\"]\n  29 [size=\"113165653\", alpha=\"0.14\", expect_size=\"33949696\"] \n  29 -> 33 [size =\"33949696\"]\n  29 -> 35 [size =\"33949696\"]\n  30 [size=\"125798400\", alpha=\"0.07\", expect_size=\"37739520\"] \n  30 -> 38 [size =\"37739520\"]\n  30 -> 39 [size =\"37739520\"]\n  30 -> 40 [size =\"37739520\"]\n  30 -> 41 [size =\"37739520\"]\n  30 -> 42 [size =\"37739520\"]\n  31 [size=\"66123093\", alpha=\"0.06\", expect_size=\"19836928\"] \n  31 -> 37 [size =\"19836928\"]\n  31 -> 40 [size =\"19836928\"]\n  31 -> 41 [size =\"19836928\"]\n  31 -> 42 [size =\"19836928\"]\n  32 [size=\"41526613\", alpha=\"0.16\", expect_size=\"12457984\"] \n  32 -> 37 [size =\"12457984\"]\n  32 -> 38 [size =\"12457984\"]\n  32 -> 42 [size =\"12457984\"]\n  33 [size=\"101625173\", alpha=\"0.19\", expect_size=\"30487552\"] \n  33 -> 36 [size =\"30487552\"]\n  33 -> 39 [size =\"30487552\"]\n  33 -> 40 [size =\"30487552\"]\n  34 [size=\"133386240\", alpha=\"0.17\", expect_size=\"40015872\"] \n  34 -> 36 [size =\"40015872\"]\n  34 -> 39 [size =\"40015872\"]\n  34 -> 40 [size =\"40015872\"]\n  35 [size=\"46578347\", alpha=\"0.18\", expect_size=\"13973504\"] \n  35 -> 36 [size =\"13973504\"]\n  35 -> 37 [size =\"13973504\"]\n  35 -> 38 [size =\"13973504\"]\n  35 -> 39 [size =\"13973504\"]\n  35 -> 42 [size =\"13973504\"]\n  36 [size=\"154777600\", alpha=\"0.13\", expect_size=\"46433280\"] \n  36 -> 43 [size =\"46433280\"]\n  36 -> 45 [size =\"46433280\"]\n  37 [size=\"109110613\", alpha=\"0.06\", expect_size=\"32733184\"] \n  37 -> 43 [size =\"32733184\"]\n  37 -> 45 [size =\"32733184\"]\n  38 [size=\"131474773\", alpha=\"0.12\", expect_size=\"39442432\"] \n  38 -> 43 [size =\"39442432\"]\n  38 -> 45 [size =\"39442432\"]\n  38 -> 46 [size =\"39442432\"]\n  39 [size=\"95781547\", alpha=\"0.07\", expect_size=\"28734464\"] \n  39 -> 43 [size =\"28734464\"]\n  39 -> 46 [size =\"28734464\"]\n  40 [size=\"48872107\", alpha=\"0.02\", expect_size=\"14661632\"] \n  40 -> 44 [size =\"14661632\"]\n  40 -> 46 [size =\"14661632\"]\n  41 [size=\"104502613\", alpha=\"0.06\", expect_size=\"31350784\"] \n  41 -> 44 [size =\"31350784\"]\n  41 -> 46 [size =\"31350784\"]\n  42 [size=\"148258133\", alpha=\"0.03\", expect_size=\"44477440\"] \n  42 -> 45 [size =\"44477440\"]\n  42 -> 46 [size =\"44477440\"]\n  43 [size=\"116336640\", alpha=\"0.13\", expect_size=\"34900992\"] \n  43 -> 50 [size =\"34900992\"]\n  44 [size=\"106168320\", alpha=\"0.06\", expect_size=\"31850496\"] \n  44 -> 48 [size =\"31850496\"]\n  44 -> 50 [size =\"31850496\"]\n  45 [size=\"80650240\", alpha=\"0.17\", expect_size=\"24195072\"] \n  45 -> 47 [size =\"24195072\"]\n  45 -> 48 [size =\"24195072\"]\n  45 -> 50 [size =\"24195072\"]\n  46 [size=\"67867307\", alpha=\"0.10\", expect_size=\"20360192\"] \n  46 -> 47 [size =\"20360192\"]\n  46 -> 49 [size =\"20360192\"]\n  47 [size=\"167809707\", alpha=\"0.07\", expect_size=\"50342912\"] \n  48 [size=\"60579840\", alpha=\"0.14\", expect_size=\"18173952\"] \n  49 [size=\"155252053\", alpha=\"0.13\", expect_size=\"46575616\"] \n  50 [size=\"56292693\", alpha=\"0.06\", expect_size=\"16887808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.462.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67641344\", alpha=\"0.17\", expect_size=\"33820672\"] \n  1 -> 7 [size =\"33820672\"]\n  1 -> 9 [size =\"33820672\"]\n  1 -> 11 [size =\"33820672\"]\n  1 -> 12 [size =\"33820672\"]\n  2 [size=\"35375104\", alpha=\"0.12\", expect_size=\"17687552\"] \n  2 -> 6 [size =\"17687552\"]\n  2 -> 7 [size =\"17687552\"]\n  2 -> 9 [size =\"17687552\"]\n  2 -> 12 [size =\"17687552\"]\n  3 [size=\"39579648\", alpha=\"0.04\", expect_size=\"19789824\"] \n  3 -> 6 [size =\"19789824\"]\n  3 -> 8 [size =\"19789824\"]\n  4 [size=\"102170624\", alpha=\"0.06\", expect_size=\"51085312\"] \n  4 -> 10 [size =\"51085312\"]\n  4 -> 12 [size =\"51085312\"]\n  5 [size=\"60909568\", alpha=\"0.12\", expect_size=\"30454784\"] \n  5 -> 9 [size =\"30454784\"]\n  5 -> 10 [size =\"30454784\"]\n  5 -> 12 [size =\"30454784\"]\n  6 [size=\"49029120\", alpha=\"0.05\", expect_size=\"24514560\"] \n  6 -> 14 [size =\"24514560\"]\n  6 -> 16 [size =\"24514560\"]\n  6 -> 18 [size =\"24514560\"]\n  6 -> 19 [size =\"24514560\"]\n  6 -> 20 [size =\"24514560\"]\n  7 [size=\"84291584\", alpha=\"0.06\", expect_size=\"42145792\"] \n  7 -> 14 [size =\"42145792\"]\n  7 -> 15 [size =\"42145792\"]\n  7 -> 17 [size =\"42145792\"]\n  7 -> 18 [size =\"42145792\"]\n  7 -> 19 [size =\"42145792\"]\n  8 [size=\"53731328\", alpha=\"0.19\", expect_size=\"26865664\"] \n  8 -> 14 [size =\"26865664\"]\n  8 -> 15 [size =\"26865664\"]\n  8 -> 16 [size =\"26865664\"]\n  8 -> 17 [size =\"26865664\"]\n  8 -> 18 [size =\"26865664\"]\n  8 -> 20 [size =\"26865664\"]\n  9 [size=\"75896832\", alpha=\"0.13\", expect_size=\"37948416\"] \n  9 -> 13 [size =\"37948416\"]\n  9 -> 15 [size =\"37948416\"]\n  9 -> 20 [size =\"37948416\"]\n  10 [size=\"60405760\", alpha=\"0.11\", expect_size=\"30202880\"] \n  10 -> 13 [size =\"30202880\"]\n  10 -> 16 [size =\"30202880\"]\n  10 -> 17 [size =\"30202880\"]\n  10 -> 19 [size =\"30202880\"]\n  10 -> 20 [size =\"30202880\"]\n  11 [size=\"40298496\", alpha=\"0.04\", expect_size=\"20149248\"] \n  11 -> 13 [size =\"20149248\"]\n  11 -> 15 [size =\"20149248\"]\n  11 -> 17 [size =\"20149248\"]\n  11 -> 19 [size =\"20149248\"]\n  12 [size=\"26562560\", alpha=\"0.07\", expect_size=\"13281280\"] \n  12 -> 13 [size =\"13281280\"]\n  12 -> 14 [size =\"13281280\"]\n  12 -> 16 [size =\"13281280\"]\n  12 -> 17 [size =\"13281280\"]\n  12 -> 18 [size =\"13281280\"]\n  12 -> 19 [size =\"13281280\"]\n  13 [size=\"85190656\", alpha=\"0.07\", expect_size=\"42595328\"] \n  13 -> 21 [size =\"42595328\"]\n  13 -> 24 [size =\"42595328\"]\n  13 -> 26 [size =\"42595328\"]\n  13 -> 27 [size =\"42595328\"]\n  13 -> 28 [size =\"42595328\"]\n  14 [size=\"104517632\", alpha=\"0.11\", expect_size=\"52258816\"] \n  14 -> 21 [size =\"52258816\"]\n  14 -> 25 [size =\"52258816\"]\n  14 -> 26 [size =\"52258816\"]\n  14 -> 29 [size =\"52258816\"]\n  15 [size=\"40198144\", alpha=\"0.02\", expect_size=\"20099072\"] \n  15 -> 22 [size =\"20099072\"]\n  15 -> 23 [size =\"20099072\"]\n  15 -> 24 [size =\"20099072\"]\n  15 -> 26 [size =\"20099072\"]\n  15 -> 27 [size =\"20099072\"]\n  16 [size=\"97716224\", alpha=\"0.07\", expect_size=\"48858112\"] \n  16 -> 22 [size =\"48858112\"]\n  16 -> 23 [size =\"48858112\"]\n  16 -> 24 [size =\"48858112\"]\n  16 -> 25 [size =\"48858112\"]\n  16 -> 28 [size =\"48858112\"]\n  17 [size=\"27015168\", alpha=\"0.12\", expect_size=\"13507584\"] \n  17 -> 21 [size =\"13507584\"]\n  17 -> 24 [size =\"13507584\"]\n  17 -> 26 [size =\"13507584\"]\n  17 -> 28 [size =\"13507584\"]\n  17 -> 29 [size =\"13507584\"]\n  18 [size=\"56670208\", alpha=\"0.18\", expect_size=\"28335104\"] \n  18 -> 21 [size =\"28335104\"]\n  18 -> 22 [size =\"28335104\"]\n  18 -> 23 [size =\"28335104\"]\n  18 -> 25 [size =\"28335104\"]\n  18 -> 28 [size =\"28335104\"]\n  18 -> 29 [size =\"28335104\"]\n  19 [size=\"51603456\", alpha=\"0.15\", expect_size=\"25801728\"] \n  19 -> 21 [size =\"25801728\"]\n  19 -> 22 [size =\"25801728\"]\n  19 -> 26 [size =\"25801728\"]\n  19 -> 28 [size =\"25801728\"]\n  19 -> 29 [size =\"25801728\"]\n  19 -> 29 [size =\"25801728\"]\n  20 [size=\"19062784\", alpha=\"0.01\", expect_size=\"9531392\"] \n  20 -> 21 [size =\"9531392\"]\n  20 -> 24 [size =\"9531392\"]\n  21 [size=\"68839424\", alpha=\"0.00\", expect_size=\"34419712\"] \n  21 -> 33 [size =\"34419712\"]\n  21 -> 34 [size =\"34419712\"]\n  22 [size=\"87134208\", alpha=\"0.04\", expect_size=\"43567104\"] \n  22 -> 30 [size =\"43567104\"]\n  22 -> 31 [size =\"43567104\"]\n  22 -> 34 [size =\"43567104\"]\n  23 [size=\"25511936\", alpha=\"0.14\", expect_size=\"12755968\"] \n  23 -> 31 [size =\"12755968\"]\n  23 -> 31 [size =\"12755968\"]\n  23 -> 32 [size =\"12755968\"]\n  24 [size=\"59883520\", alpha=\"0.04\", expect_size=\"29941760\"] \n  24 -> 30 [size =\"29941760\"]\n  24 -> 31 [size =\"29941760\"]\n  24 -> 32 [size =\"29941760\"]\n  24 -> 35 [size =\"29941760\"]\n  25 [size=\"17233920\", alpha=\"0.04\", expect_size=\"8616960\"] \n  25 -> 32 [size =\"8616960\"]\n  25 -> 34 [size =\"8616960\"]\n  26 [size=\"28542976\", alpha=\"0.12\", expect_size=\"14271488\"] \n  26 -> 30 [size =\"14271488\"]\n  26 -> 31 [size =\"14271488\"]\n  26 -> 32 [size =\"14271488\"]\n  26 -> 33 [size =\"14271488\"]\n  26 -> 34 [size =\"14271488\"]\n  26 -> 35 [size =\"14271488\"]\n  27 [size=\"60055552\", alpha=\"0.16\", expect_size=\"30027776\"] \n  27 -> 32 [size =\"30027776\"]\n  27 -> 33 [size =\"30027776\"]\n  27 -> 35 [size =\"30027776\"]\n  28 [size=\"22409216\", alpha=\"0.09\", expect_size=\"11204608\"] \n  28 -> 32 [size =\"11204608\"]\n  28 -> 33 [size =\"11204608\"]\n  28 -> 34 [size =\"11204608\"]\n  28 -> 35 [size =\"11204608\"]\n  29 [size=\"11395072\", alpha=\"0.16\", expect_size=\"5697536\"] \n  29 -> 30 [size =\"5697536\"]\n  29 -> 33 [size =\"5697536\"]\n  29 -> 34 [size =\"5697536\"]\n  29 -> 35 [size =\"5697536\"]\n  30 [size=\"81647616\", alpha=\"0.14\", expect_size=\"40823808\"] \n  30 -> 37 [size =\"40823808\"]\n  30 -> 39 [size =\"40823808\"]\n  31 [size=\"88338432\", alpha=\"0.18\", expect_size=\"44169216\"] \n  31 -> 37 [size =\"44169216\"]\n  31 -> 38 [size =\"44169216\"]\n  31 -> 40 [size =\"44169216\"]\n  31 -> 43 [size =\"44169216\"]\n  32 [size=\"88625152\", alpha=\"0.05\", expect_size=\"44312576\"] \n  32 -> 41 [size =\"44312576\"]\n  32 -> 42 [size =\"44312576\"]\n  33 [size=\"13025280\", alpha=\"0.08\", expect_size=\"6512640\"] \n  33 -> 36 [size =\"6512640\"]\n  33 -> 37 [size =\"6512640\"]\n  33 -> 39 [size =\"6512640\"]\n  34 [size=\"79382528\", alpha=\"0.12\", expect_size=\"39691264\"] \n  34 -> 36 [size =\"39691264\"]\n  34 -> 39 [size =\"39691264\"]\n  34 -> 40 [size =\"39691264\"]\n  34 -> 41 [size =\"39691264\"]\n  34 -> 44 [size =\"39691264\"]\n  35 [size=\"96264192\", alpha=\"0.01\", expect_size=\"48132096\"] \n  35 -> 36 [size =\"48132096\"]\n  35 -> 37 [size =\"48132096\"]\n  35 -> 39 [size =\"48132096\"]\n  35 -> 40 [size =\"48132096\"]\n  35 -> 42 [size =\"48132096\"]\n  36 [size=\"19728384\", alpha=\"0.09\", expect_size=\"9864192\"] \n  36 -> 46 [size =\"9864192\"]\n  36 -> 49 [size =\"9864192\"]\n  37 [size=\"77058048\", alpha=\"0.00\", expect_size=\"38529024\"] \n  37 -> 46 [size =\"38529024\"]\n  37 -> 47 [size =\"38529024\"]\n  37 -> 49 [size =\"38529024\"]\n  38 [size=\"58949632\", alpha=\"0.01\", expect_size=\"29474816\"] \n  38 -> 46 [size =\"29474816\"]\n  38 -> 47 [size =\"29474816\"]\n  38 -> 48 [size =\"29474816\"]\n  38 -> 49 [size =\"29474816\"]\n  39 [size=\"103018496\", alpha=\"0.11\", expect_size=\"51509248\"] \n  39 -> 45 [size =\"51509248\"]\n  39 -> 48 [size =\"51509248\"]\n  40 [size=\"85936128\", alpha=\"0.03\", expect_size=\"42968064\"] \n  40 -> 46 [size =\"42968064\"]\n  40 -> 47 [size =\"42968064\"]\n  40 -> 48 [size =\"42968064\"]\n  41 [size=\"57620480\", alpha=\"0.07\", expect_size=\"28810240\"] \n  41 -> 46 [size =\"28810240\"]\n  41 -> 47 [size =\"28810240\"]\n  41 -> 50 [size =\"28810240\"]\n  42 [size=\"47886336\", alpha=\"0.07\", expect_size=\"23943168\"] \n  42 -> 46 [size =\"23943168\"]\n  42 -> 47 [size =\"23943168\"]\n  42 -> 50 [size =\"23943168\"]\n  43 [size=\"72814592\", alpha=\"0.11\", expect_size=\"36407296\"] \n  43 -> 47 [size =\"36407296\"]\n  43 -> 50 [size =\"36407296\"]\n  44 [size=\"18364416\", alpha=\"0.05\", expect_size=\"9182208\"] \n  45 [size=\"72943616\", alpha=\"0.00\", expect_size=\"36471808\"] \n  46 [size=\"77518848\", alpha=\"0.20\", expect_size=\"38759424\"] \n  47 [size=\"24950784\", alpha=\"0.09\", expect_size=\"12475392\"] \n  48 [size=\"26144768\", alpha=\"0.02\", expect_size=\"13072384\"] \n  49 [size=\"32913408\", alpha=\"0.14\", expect_size=\"16456704\"] \n  50 [size=\"86374400\", alpha=\"0.02\", expect_size=\"43187200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.463.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80197120\", alpha=\"0.12\", expect_size=\"32078848\"] \n  1 -> 2 [size =\"32078848\"]\n  2 [size=\"81802240\", alpha=\"0.01\", expect_size=\"32720896\"] \n  2 -> 3 [size =\"32720896\"]\n  3 [size=\"107289600\", alpha=\"0.09\", expect_size=\"42915840\"] \n  3 -> 4 [size =\"42915840\"]\n  4 [size=\"75555840\", alpha=\"0.04\", expect_size=\"30222336\"] \n  4 -> 5 [size =\"30222336\"]\n  5 [size=\"80238080\", alpha=\"0.12\", expect_size=\"32095232\"] \n  5 -> 6 [size =\"32095232\"]\n  6 [size=\"60679680\", alpha=\"0.11\", expect_size=\"24271872\"] \n  6 -> 7 [size =\"24271872\"]\n  7 [size=\"84515840\", alpha=\"0.01\", expect_size=\"33806336\"] \n  7 -> 8 [size =\"33806336\"]\n  8 [size=\"61836800\", alpha=\"0.04\", expect_size=\"24734720\"] \n  8 -> 9 [size =\"24734720\"]\n  9 [size=\"77107200\", alpha=\"0.06\", expect_size=\"30842880\"] \n  9 -> 10 [size =\"30842880\"]\n  10 [size=\"101736960\", alpha=\"0.08\", expect_size=\"40694784\"] \n  10 -> 11 [size =\"40694784\"]\n  11 [size=\"54730240\", alpha=\"0.16\", expect_size=\"21892096\"] \n  11 -> 12 [size =\"21892096\"]\n  12 [size=\"127526400\", alpha=\"0.10\", expect_size=\"51010560\"] \n  12 -> 13 [size =\"51010560\"]\n  13 [size=\"15293440\", alpha=\"0.02\", expect_size=\"6117376\"] \n  13 -> 14 [size =\"6117376\"]\n  14 [size=\"67118080\", alpha=\"0.18\", expect_size=\"26847232\"] \n  14 -> 15 [size =\"26847232\"]\n  15 [size=\"93235200\", alpha=\"0.14\", expect_size=\"37294080\"] \n  15 -> 16 [size =\"37294080\"]\n  16 [size=\"48117760\", alpha=\"0.07\", expect_size=\"19247104\"] \n  16 -> 17 [size =\"19247104\"]\n  17 [size=\"112412160\", alpha=\"0.05\", expect_size=\"44964864\"] \n  17 -> 18 [size =\"44964864\"]\n  18 [size=\"118502400\", alpha=\"0.05\", expect_size=\"47400960\"] \n  18 -> 19 [size =\"47400960\"]\n  19 [size=\"23255040\", alpha=\"0.16\", expect_size=\"9302016\"] \n  19 -> 20 [size =\"9302016\"]\n  20 [size=\"61048320\", alpha=\"0.07\", expect_size=\"24419328\"] \n  20 -> 21 [size =\"24419328\"]\n  21 [size=\"110464000\", alpha=\"0.10\", expect_size=\"44185600\"] \n  21 -> 22 [size =\"44185600\"]\n  22 [size=\"86817280\", alpha=\"0.05\", expect_size=\"34726912\"] \n  22 -> 23 [size =\"34726912\"]\n  23 [size=\"27819520\", alpha=\"0.16\", expect_size=\"11127808\"] \n  23 -> 24 [size =\"11127808\"]\n  24 [size=\"38195200\", alpha=\"0.17\", expect_size=\"15278080\"] \n  24 -> 25 [size =\"15278080\"]\n  25 [size=\"25195520\", alpha=\"0.09\", expect_size=\"10078208\"] \n  25 -> 26 [size =\"10078208\"]\n  26 [size=\"110405120\", alpha=\"0.10\", expect_size=\"44162048\"] \n  26 -> 27 [size =\"44162048\"]\n  27 [size=\"33907200\", alpha=\"0.03\", expect_size=\"13562880\"] \n  27 -> 28 [size =\"13562880\"]\n  28 [size=\"65338880\", alpha=\"0.04\", expect_size=\"26135552\"] \n  28 -> 29 [size =\"26135552\"]\n  29 [size=\"95713280\", alpha=\"0.16\", expect_size=\"38285312\"] \n  29 -> 30 [size =\"38285312\"]\n  30 [size=\"70494720\", alpha=\"0.02\", expect_size=\"28197888\"] \n  30 -> 31 [size =\"28197888\"]\n  31 [size=\"113740800\", alpha=\"0.16\", expect_size=\"45496320\"] \n  31 -> 32 [size =\"45496320\"]\n  32 [size=\"56611840\", alpha=\"0.10\", expect_size=\"22644736\"] \n  32 -> 33 [size =\"22644736\"]\n  33 [size=\"85770240\", alpha=\"0.03\", expect_size=\"34308096\"] \n  33 -> 34 [size =\"34308096\"]\n  34 [size=\"59473920\", alpha=\"0.06\", expect_size=\"23789568\"] \n  34 -> 35 [size =\"23789568\"]\n  35 [size=\"40166400\", alpha=\"0.03\", expect_size=\"16066560\"] \n  35 -> 36 [size =\"16066560\"]\n  36 [size=\"94986240\", alpha=\"0.05\", expect_size=\"37994496\"] \n  36 -> 37 [size =\"37994496\"]\n  37 [size=\"35571200\", alpha=\"0.04\", expect_size=\"14228480\"] \n  37 -> 38 [size =\"14228480\"]\n  38 [size=\"51299840\", alpha=\"0.01\", expect_size=\"20519936\"] \n  38 -> 39 [size =\"20519936\"]\n  39 [size=\"72934400\", alpha=\"0.00\", expect_size=\"29173760\"] \n  39 -> 40 [size =\"29173760\"]\n  40 [size=\"46517760\", alpha=\"0.07\", expect_size=\"18607104\"] \n  40 -> 41 [size =\"18607104\"]\n  41 [size=\"60677120\", alpha=\"0.11\", expect_size=\"24270848\"] \n  41 -> 42 [size =\"24270848\"]\n  42 [size=\"39073280\", alpha=\"0.07\", expect_size=\"15629312\"] \n  42 -> 43 [size =\"15629312\"]\n  43 [size=\"96125440\", alpha=\"0.05\", expect_size=\"38450176\"] \n  43 -> 44 [size =\"38450176\"]\n  44 [size=\"116052480\", alpha=\"0.08\", expect_size=\"46420992\"] \n  44 -> 45 [size =\"46420992\"]\n  45 [size=\"34905600\", alpha=\"0.12\", expect_size=\"13962240\"] \n  45 -> 46 [size =\"13962240\"]\n  46 [size=\"50775040\", alpha=\"0.14\", expect_size=\"20310016\"] \n  46 -> 47 [size =\"20310016\"]\n  47 [size=\"80709120\", alpha=\"0.18\", expect_size=\"32283648\"] \n  47 -> 48 [size =\"32283648\"]\n  48 [size=\"106050560\", alpha=\"0.12\", expect_size=\"42420224\"] \n  48 -> 49 [size =\"42420224\"]\n  49 [size=\"114229760\", alpha=\"0.20\", expect_size=\"45691904\"] \n  49 -> 50 [size =\"45691904\"]\n  50 [size=\"115397120\", alpha=\"0.17\", expect_size=\"46158848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.464.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21094400\", alpha=\"0.19\", expect_size=\"8437760\"] \n  1 -> 17 [size =\"8437760\"]\n  1 -> 18 [size =\"8437760\"]\n  1 -> 19 [size =\"8437760\"]\n  1 -> 20 [size =\"8437760\"]\n  1 -> 22 [size =\"8437760\"]\n  1 -> 23 [size =\"8437760\"]\n  1 -> 27 [size =\"8437760\"]\n  2 [size=\"116183040\", alpha=\"0.17\", expect_size=\"46473216\"] \n  2 -> 17 [size =\"46473216\"]\n  2 -> 24 [size =\"46473216\"]\n  2 -> 27 [size =\"46473216\"]\n  2 -> 31 [size =\"46473216\"]\n  3 [size=\"50652160\", alpha=\"0.10\", expect_size=\"20260864\"] \n  3 -> 27 [size =\"20260864\"]\n  3 -> 31 [size =\"20260864\"]\n  4 [size=\"85813760\", alpha=\"0.09\", expect_size=\"34325504\"] \n  4 -> 24 [size =\"34325504\"]\n  4 -> 30 [size =\"34325504\"]\n  5 [size=\"19973120\", alpha=\"0.19\", expect_size=\"7989248\"] \n  5 -> 18 [size =\"7989248\"]\n  5 -> 20 [size =\"7989248\"]\n  5 -> 24 [size =\"7989248\"]\n  5 -> 27 [size =\"7989248\"]\n  5 -> 28 [size =\"7989248\"]\n  5 -> 29 [size =\"7989248\"]\n  5 -> 30 [size =\"7989248\"]\n  6 [size=\"72317440\", alpha=\"0.19\", expect_size=\"28926976\"] \n  6 -> 18 [size =\"28926976\"]\n  6 -> 19 [size =\"28926976\"]\n  6 -> 22 [size =\"28926976\"]\n  6 -> 28 [size =\"28926976\"]\n  7 [size=\"27409920\", alpha=\"0.02\", expect_size=\"10963968\"] \n  7 -> 20 [size =\"10963968\"]\n  7 -> 30 [size =\"10963968\"]\n  7 -> 31 [size =\"10963968\"]\n  8 [size=\"90135040\", alpha=\"0.19\", expect_size=\"36054016\"] \n  8 -> 18 [size =\"36054016\"]\n  8 -> 20 [size =\"36054016\"]\n  8 -> 24 [size =\"36054016\"]\n  8 -> 26 [size =\"36054016\"]\n  8 -> 27 [size =\"36054016\"]\n  8 -> 31 [size =\"36054016\"]\n  9 [size=\"72947200\", alpha=\"0.13\", expect_size=\"29178880\"] \n  9 -> 23 [size =\"29178880\"]\n  9 -> 31 [size =\"29178880\"]\n  10 [size=\"59187200\", alpha=\"0.03\", expect_size=\"23674880\"] \n  10 -> 23 [size =\"23674880\"]\n  10 -> 29 [size =\"23674880\"]\n  10 -> 31 [size =\"23674880\"]\n  11 [size=\"89172480\", alpha=\"0.17\", expect_size=\"35668992\"] \n  11 -> 18 [size =\"35668992\"]\n  11 -> 19 [size =\"35668992\"]\n  11 -> 23 [size =\"35668992\"]\n  11 -> 27 [size =\"35668992\"]\n  11 -> 29 [size =\"35668992\"]\n  12 [size=\"83284480\", alpha=\"0.07\", expect_size=\"33313792\"] \n  12 -> 19 [size =\"33313792\"]\n  12 -> 29 [size =\"33313792\"]\n  13 [size=\"66608640\", alpha=\"0.19\", expect_size=\"26643456\"] \n  13 -> 19 [size =\"26643456\"]\n  13 -> 22 [size =\"26643456\"]\n  13 -> 23 [size =\"26643456\"]\n  14 [size=\"128455680\", alpha=\"0.18\", expect_size=\"51382272\"] \n  14 -> 18 [size =\"51382272\"]\n  14 -> 28 [size =\"51382272\"]\n  15 [size=\"64348160\", alpha=\"0.13\", expect_size=\"25739264\"] \n  15 -> 18 [size =\"25739264\"]\n  15 -> 19 [size =\"25739264\"]\n  15 -> 21 [size =\"25739264\"]\n  15 -> 25 [size =\"25739264\"]\n  15 -> 28 [size =\"25739264\"]\n  16 [size=\"60861440\", alpha=\"0.03\", expect_size=\"24344576\"] \n  16 -> 18 [size =\"24344576\"]\n  16 -> 19 [size =\"24344576\"]\n  16 -> 20 [size =\"24344576\"]\n  16 -> 29 [size =\"24344576\"]\n  17 [size=\"52124160\", alpha=\"0.12\", expect_size=\"20849664\"] \n  17 -> 35 [size =\"20849664\"]\n  17 -> 38 [size =\"20849664\"]\n  17 -> 39 [size =\"20849664\"]\n  17 -> 43 [size =\"20849664\"]\n  17 -> 44 [size =\"20849664\"]\n  18 [size=\"65984000\", alpha=\"0.02\", expect_size=\"26393600\"] \n  18 -> 32 [size =\"26393600\"]\n  18 -> 35 [size =\"26393600\"]\n  18 -> 37 [size =\"26393600\"]\n  18 -> 38 [size =\"26393600\"]\n  18 -> 40 [size =\"26393600\"]\n  18 -> 44 [size =\"26393600\"]\n  19 [size=\"62899200\", alpha=\"0.15\", expect_size=\"25159680\"] \n  19 -> 32 [size =\"25159680\"]\n  19 -> 33 [size =\"25159680\"]\n  19 -> 46 [size =\"25159680\"]\n  20 [size=\"18785280\", alpha=\"0.20\", expect_size=\"7514112\"] \n  20 -> 32 [size =\"7514112\"]\n  20 -> 35 [size =\"7514112\"]\n  20 -> 40 [size =\"7514112\"]\n  20 -> 44 [size =\"7514112\"]\n  21 [size=\"36131840\", alpha=\"0.05\", expect_size=\"14452736\"] \n  21 -> 34 [size =\"14452736\"]\n  21 -> 40 [size =\"14452736\"]\n  21 -> 45 [size =\"14452736\"]\n  22 [size=\"17241600\", alpha=\"0.08\", expect_size=\"6896640\"] \n  22 -> 37 [size =\"6896640\"]\n  22 -> 38 [size =\"6896640\"]\n  22 -> 40 [size =\"6896640\"]\n  22 -> 44 [size =\"6896640\"]\n  23 [size=\"56660480\", alpha=\"0.17\", expect_size=\"22664192\"] \n  23 -> 34 [size =\"22664192\"]\n  23 -> 35 [size =\"22664192\"]\n  23 -> 38 [size =\"22664192\"]\n  23 -> 45 [size =\"22664192\"]\n  24 [size=\"51097600\", alpha=\"0.19\", expect_size=\"20439040\"] \n  24 -> 36 [size =\"20439040\"]\n  24 -> 42 [size =\"20439040\"]\n  24 -> 43 [size =\"20439040\"]\n  24 -> 45 [size =\"20439040\"]\n  25 [size=\"40826880\", alpha=\"0.02\", expect_size=\"16330752\"] \n  25 -> 37 [size =\"16330752\"]\n  25 -> 40 [size =\"16330752\"]\n  25 -> 43 [size =\"16330752\"]\n  26 [size=\"120422400\", alpha=\"0.15\", expect_size=\"48168960\"] \n  26 -> 35 [size =\"48168960\"]\n  26 -> 38 [size =\"48168960\"]\n  26 -> 43 [size =\"48168960\"]\n  26 -> 45 [size =\"48168960\"]\n  27 [size=\"22743040\", alpha=\"0.10\", expect_size=\"9097216\"] \n  27 -> 35 [size =\"9097216\"]\n  27 -> 37 [size =\"9097216\"]\n  27 -> 38 [size =\"9097216\"]\n  27 -> 45 [size =\"9097216\"]\n  28 [size=\"93862400\", alpha=\"0.19\", expect_size=\"37544960\"] \n  28 -> 32 [size =\"37544960\"]\n  28 -> 35 [size =\"37544960\"]\n  28 -> 39 [size =\"37544960\"]\n  28 -> 42 [size =\"37544960\"]\n  28 -> 45 [size =\"37544960\"]\n  28 -> 46 [size =\"37544960\"]\n  29 [size=\"107722240\", alpha=\"0.17\", expect_size=\"43088896\"] \n  29 -> 32 [size =\"43088896\"]\n  29 -> 34 [size =\"43088896\"]\n  29 -> 37 [size =\"43088896\"]\n  29 -> 38 [size =\"43088896\"]\n  29 -> 40 [size =\"43088896\"]\n  29 -> 45 [size =\"43088896\"]\n  30 [size=\"80601600\", alpha=\"0.03\", expect_size=\"32240640\"] \n  30 -> 40 [size =\"32240640\"]\n  30 -> 41 [size =\"32240640\"]\n  30 -> 42 [size =\"32240640\"]\n  31 [size=\"78064640\", alpha=\"0.03\", expect_size=\"31225856\"] \n  31 -> 35 [size =\"31225856\"]\n  31 -> 41 [size =\"31225856\"]\n  32 [size=\"108098560\", alpha=\"0.14\", expect_size=\"43239424\"] \n  32 -> 47 [size =\"43239424\"]\n  32 -> 50 [size =\"43239424\"]\n  33 [size=\"37849600\", alpha=\"0.14\", expect_size=\"15139840\"] \n  33 -> 47 [size =\"15139840\"]\n  34 [size=\"22830080\", alpha=\"0.14\", expect_size=\"9132032\"] \n  35 [size=\"17784320\", alpha=\"0.02\", expect_size=\"7113728\"] \n  35 -> 48 [size =\"7113728\"]\n  35 -> 49 [size =\"7113728\"]\n  36 [size=\"29580800\", alpha=\"0.19\", expect_size=\"11832320\"] \n  36 -> 47 [size =\"11832320\"]\n  37 [size=\"117429760\", alpha=\"0.02\", expect_size=\"46971904\"] \n  37 -> 47 [size =\"46971904\"]\n  37 -> 50 [size =\"46971904\"]\n  38 [size=\"59706880\", alpha=\"0.14\", expect_size=\"23882752\"] \n  38 -> 48 [size =\"23882752\"]\n  39 [size=\"51402240\", alpha=\"0.15\", expect_size=\"20560896\"] \n  39 -> 47 [size =\"20560896\"]\n  40 [size=\"34396160\", alpha=\"0.16\", expect_size=\"13758464\"] \n  41 [size=\"54766080\", alpha=\"0.02\", expect_size=\"21906432\"] \n  41 -> 48 [size =\"21906432\"]\n  41 -> 49 [size =\"21906432\"]\n  42 [size=\"70617600\", alpha=\"0.08\", expect_size=\"28247040\"] \n  42 -> 48 [size =\"28247040\"]\n  43 [size=\"34163200\", alpha=\"0.01\", expect_size=\"13665280\"] \n  44 [size=\"116869120\", alpha=\"0.01\", expect_size=\"46747648\"] \n  45 [size=\"80189440\", alpha=\"0.06\", expect_size=\"32075776\"] \n  46 [size=\"93335040\", alpha=\"0.09\", expect_size=\"37334016\"] \n  47 [size=\"86090240\", alpha=\"0.13\", expect_size=\"34436096\"] \n  48 [size=\"97479680\", alpha=\"0.11\", expect_size=\"38991872\"] \n  49 [size=\"62407680\", alpha=\"0.06\", expect_size=\"24963072\"] \n  50 [size=\"30676480\", alpha=\"0.11\", expect_size=\"12270592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.465.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34853547\", alpha=\"0.07\", expect_size=\"10456064\"] \n  1 -> 10 [size =\"10456064\"]\n  1 -> 13 [size =\"10456064\"]\n  2 [size=\"88070827\", alpha=\"0.14\", expect_size=\"26421248\"] \n  2 -> 9 [size =\"26421248\"]\n  2 -> 10 [size =\"26421248\"]\n  2 -> 12 [size =\"26421248\"]\n  3 [size=\"167041707\", alpha=\"0.09\", expect_size=\"50112512\"] \n  3 -> 9 [size =\"50112512\"]\n  3 -> 10 [size =\"50112512\"]\n  3 -> 12 [size =\"50112512\"]\n  3 -> 14 [size =\"50112512\"]\n  4 [size=\"64573440\", alpha=\"0.07\", expect_size=\"19372032\"] \n  4 -> 10 [size =\"19372032\"]\n  4 -> 11 [size =\"19372032\"]\n  4 -> 13 [size =\"19372032\"]\n  5 [size=\"41499307\", alpha=\"0.11\", expect_size=\"12449792\"] \n  5 -> 10 [size =\"12449792\"]\n  5 -> 12 [size =\"12449792\"]\n  5 -> 13 [size =\"12449792\"]\n  5 -> 14 [size =\"12449792\"]\n  6 [size=\"46711467\", alpha=\"0.12\", expect_size=\"14013440\"] \n  6 -> 8 [size =\"14013440\"]\n  6 -> 12 [size =\"14013440\"]\n  6 -> 13 [size =\"14013440\"]\n  7 [size=\"166737920\", alpha=\"0.14\", expect_size=\"50021376\"] \n  7 -> 13 [size =\"50021376\"]\n  8 [size=\"64276480\", alpha=\"0.06\", expect_size=\"19282944\"] \n  8 -> 16 [size =\"19282944\"]\n  8 -> 18 [size =\"19282944\"]\n  8 -> 21 [size =\"19282944\"]\n  9 [size=\"46127787\", alpha=\"0.04\", expect_size=\"13838336\"] \n  9 -> 17 [size =\"13838336\"]\n  9 -> 21 [size =\"13838336\"]\n  10 [size=\"36488533\", alpha=\"0.07\", expect_size=\"10946560\"] \n  10 -> 15 [size =\"10946560\"]\n  10 -> 17 [size =\"10946560\"]\n  10 -> 19 [size =\"10946560\"]\n  11 [size=\"109953707\", alpha=\"0.08\", expect_size=\"32986112\"] \n  11 -> 17 [size =\"32986112\"]\n  11 -> 19 [size =\"32986112\"]\n  12 [size=\"163553280\", alpha=\"0.15\", expect_size=\"49065984\"] \n  12 -> 17 [size =\"49065984\"]\n  12 -> 18 [size =\"49065984\"]\n  12 -> 19 [size =\"49065984\"]\n  12 -> 21 [size =\"49065984\"]\n  13 [size=\"120111787\", alpha=\"0.12\", expect_size=\"36033536\"] \n  13 -> 20 [size =\"36033536\"]\n  13 -> 21 [size =\"36033536\"]\n  14 [size=\"29784747\", alpha=\"0.19\", expect_size=\"8935424\"] \n  14 -> 15 [size =\"8935424\"]\n  14 -> 21 [size =\"8935424\"]\n  15 [size=\"81742507\", alpha=\"0.00\", expect_size=\"24522752\"] \n  15 -> 27 [size =\"24522752\"]\n  16 [size=\"165434027\", alpha=\"0.02\", expect_size=\"49630208\"] \n  16 -> 23 [size =\"49630208\"]\n  16 -> 25 [size =\"49630208\"]\n  17 [size=\"105260373\", alpha=\"0.09\", expect_size=\"31578112\"] \n  17 -> 22 [size =\"31578112\"]\n  17 -> 23 [size =\"31578112\"]\n  17 -> 26 [size =\"31578112\"]\n  17 -> 28 [size =\"31578112\"]\n  18 [size=\"57893547\", alpha=\"0.07\", expect_size=\"17368064\"] \n  18 -> 22 [size =\"17368064\"]\n  18 -> 24 [size =\"17368064\"]\n  18 -> 25 [size =\"17368064\"]\n  18 -> 26 [size =\"17368064\"]\n  18 -> 27 [size =\"17368064\"]\n  19 [size=\"105055573\", alpha=\"0.17\", expect_size=\"31516672\"] \n  19 -> 22 [size =\"31516672\"]\n  19 -> 26 [size =\"31516672\"]\n  19 -> 27 [size =\"31516672\"]\n  20 [size=\"135778987\", alpha=\"0.20\", expect_size=\"40733696\"] \n  20 -> 22 [size =\"40733696\"]\n  20 -> 24 [size =\"40733696\"]\n  20 -> 26 [size =\"40733696\"]\n  20 -> 28 [size =\"40733696\"]\n  21 [size=\"36515840\", alpha=\"0.05\", expect_size=\"10954752\"] \n  21 -> 27 [size =\"10954752\"]\n  21 -> 28 [size =\"10954752\"]\n  22 [size=\"99246080\", alpha=\"0.19\", expect_size=\"29773824\"] \n  22 -> 29 [size =\"29773824\"]\n  22 -> 30 [size =\"29773824\"]\n  22 -> 31 [size =\"29773824\"]\n  22 -> 32 [size =\"29773824\"]\n  22 -> 34 [size =\"29773824\"]\n  23 [size=\"56507733\", alpha=\"0.12\", expect_size=\"16952320\"] \n  23 -> 29 [size =\"16952320\"]\n  24 [size=\"152064000\", alpha=\"0.11\", expect_size=\"45619200\"] \n  24 -> 33 [size =\"45619200\"]\n  25 [size=\"147193173\", alpha=\"0.13\", expect_size=\"44157952\"] \n  25 -> 29 [size =\"44157952\"]\n  25 -> 33 [size =\"44157952\"]\n  26 [size=\"148691627\", alpha=\"0.18\", expect_size=\"44607488\"] \n  26 -> 33 [size =\"44607488\"]\n  26 -> 33 [size =\"44607488\"]\n  26 -> 35 [size =\"44607488\"]\n  27 [size=\"163502080\", alpha=\"0.03\", expect_size=\"49050624\"] \n  27 -> 29 [size =\"49050624\"]\n  27 -> 30 [size =\"49050624\"]\n  28 [size=\"80032427\", alpha=\"0.14\", expect_size=\"24009728\"] \n  28 -> 29 [size =\"24009728\"]\n  28 -> 30 [size =\"24009728\"]\n  28 -> 32 [size =\"24009728\"]\n  28 -> 33 [size =\"24009728\"]\n  29 [size=\"133597867\", alpha=\"0.08\", expect_size=\"40079360\"] \n  29 -> 39 [size =\"40079360\"]\n  29 -> 41 [size =\"40079360\"]\n  29 -> 42 [size =\"40079360\"]\n  30 [size=\"108687360\", alpha=\"0.05\", expect_size=\"32606208\"] \n  30 -> 40 [size =\"32606208\"]\n  30 -> 41 [size =\"32606208\"]\n  30 -> 42 [size =\"32606208\"]\n  31 [size=\"105762133\", alpha=\"0.13\", expect_size=\"31728640\"] \n  31 -> 38 [size =\"31728640\"]\n  31 -> 39 [size =\"31728640\"]\n  31 -> 40 [size =\"31728640\"]\n  31 -> 41 [size =\"31728640\"]\n  31 -> 42 [size =\"31728640\"]\n  32 [size=\"142199467\", alpha=\"0.01\", expect_size=\"42659840\"] \n  32 -> 36 [size =\"42659840\"]\n  32 -> 39 [size =\"42659840\"]\n  32 -> 40 [size =\"42659840\"]\n  33 [size=\"131310933\", alpha=\"0.01\", expect_size=\"39393280\"] \n  33 -> 36 [size =\"39393280\"]\n  33 -> 38 [size =\"39393280\"]\n  33 -> 39 [size =\"39393280\"]\n  33 -> 40 [size =\"39393280\"]\n  33 -> 41 [size =\"39393280\"]\n  34 [size=\"65372160\", alpha=\"0.02\", expect_size=\"19611648\"] \n  34 -> 36 [size =\"19611648\"]\n  34 -> 37 [size =\"19611648\"]\n  34 -> 38 [size =\"19611648\"]\n  34 -> 40 [size =\"19611648\"]\n  35 [size=\"148776960\", alpha=\"0.12\", expect_size=\"44633088\"] \n  35 -> 36 [size =\"44633088\"]\n  35 -> 38 [size =\"44633088\"]\n  35 -> 42 [size =\"44633088\"]\n  36 [size=\"90972160\", alpha=\"0.01\", expect_size=\"27291648\"] \n  36 -> 43 [size =\"27291648\"]\n  36 -> 44 [size =\"27291648\"]\n  36 -> 45 [size =\"27291648\"]\n  36 -> 47 [size =\"27291648\"]\n  36 -> 48 [size =\"27291648\"]\n  37 [size=\"78479360\", alpha=\"0.01\", expect_size=\"23543808\"] \n  37 -> 43 [size =\"23543808\"]\n  37 -> 45 [size =\"23543808\"]\n  37 -> 47 [size =\"23543808\"]\n  37 -> 48 [size =\"23543808\"]\n  38 [size=\"103277227\", alpha=\"0.06\", expect_size=\"30983168\"] \n  38 -> 46 [size =\"30983168\"]\n  38 -> 47 [size =\"30983168\"]\n  38 -> 48 [size =\"30983168\"]\n  39 [size=\"54882987\", alpha=\"0.02\", expect_size=\"16464896\"] \n  40 [size=\"119234560\", alpha=\"0.13\", expect_size=\"35770368\"] \n  40 -> 44 [size =\"35770368\"]\n  40 -> 45 [size =\"35770368\"]\n  41 [size=\"158061227\", alpha=\"0.07\", expect_size=\"47418368\"] \n  41 -> 48 [size =\"47418368\"]\n  42 [size=\"106550613\", alpha=\"0.11\", expect_size=\"31965184\"] \n  42 -> 46 [size =\"31965184\"]\n  42 -> 47 [size =\"31965184\"]\n  42 -> 48 [size =\"31965184\"]\n  43 [size=\"110789973\", alpha=\"0.20\", expect_size=\"33236992\"] \n  44 [size=\"116121600\", alpha=\"0.06\", expect_size=\"34836480\"] \n  44 -> 49 [size =\"34836480\"]\n  45 [size=\"134864213\", alpha=\"0.08\", expect_size=\"40459264\"] \n  46 [size=\"73994240\", alpha=\"0.08\", expect_size=\"22198272\"] \n  47 [size=\"81479680\", alpha=\"0.05\", expect_size=\"24443904\"] \n  48 [size=\"87811413\", alpha=\"0.11\", expect_size=\"26343424\"] \n  48 -> 50 [size =\"26343424\"]\n  49 [size=\"133413547\", alpha=\"0.12\", expect_size=\"40024064\"] \n  50 [size=\"148575573\", alpha=\"0.04\", expect_size=\"44572672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.466.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90380800\", alpha=\"0.14\", expect_size=\"36152320\"] \n  1 -> 2 [size =\"36152320\"]\n  2 [size=\"83737600\", alpha=\"0.06\", expect_size=\"33495040\"] \n  2 -> 3 [size =\"33495040\"]\n  3 [size=\"93624320\", alpha=\"0.11\", expect_size=\"37449728\"] \n  3 -> 4 [size =\"37449728\"]\n  4 [size=\"22133760\", alpha=\"0.14\", expect_size=\"8853504\"] \n  4 -> 5 [size =\"8853504\"]\n  5 [size=\"106421760\", alpha=\"0.11\", expect_size=\"42568704\"] \n  5 -> 6 [size =\"42568704\"]\n  6 [size=\"18391040\", alpha=\"0.20\", expect_size=\"7356416\"] \n  6 -> 7 [size =\"7356416\"]\n  7 [size=\"95513600\", alpha=\"0.03\", expect_size=\"38205440\"] \n  7 -> 8 [size =\"38205440\"]\n  8 [size=\"78812160\", alpha=\"0.02\", expect_size=\"31524864\"] \n  8 -> 9 [size =\"31524864\"]\n  9 [size=\"78476800\", alpha=\"0.20\", expect_size=\"31390720\"] \n  9 -> 10 [size =\"31390720\"]\n  10 [size=\"55324160\", alpha=\"0.14\", expect_size=\"22129664\"] \n  10 -> 11 [size =\"22129664\"]\n  11 [size=\"62576640\", alpha=\"0.15\", expect_size=\"25030656\"] \n  11 -> 12 [size =\"25030656\"]\n  12 [size=\"29813760\", alpha=\"0.14\", expect_size=\"11925504\"] \n  12 -> 13 [size =\"11925504\"]\n  13 [size=\"62873600\", alpha=\"0.01\", expect_size=\"25149440\"] \n  13 -> 14 [size =\"25149440\"]\n  14 [size=\"129303040\", alpha=\"0.06\", expect_size=\"51721216\"] \n  14 -> 15 [size =\"51721216\"]\n  15 [size=\"92270080\", alpha=\"0.14\", expect_size=\"36908032\"] \n  15 -> 16 [size =\"36908032\"]\n  16 [size=\"38876160\", alpha=\"0.02\", expect_size=\"15550464\"] \n  16 -> 17 [size =\"15550464\"]\n  17 [size=\"38010880\", alpha=\"0.09\", expect_size=\"15204352\"] \n  17 -> 18 [size =\"15204352\"]\n  18 [size=\"57297920\", alpha=\"0.05\", expect_size=\"22919168\"] \n  18 -> 19 [size =\"22919168\"]\n  19 [size=\"70453760\", alpha=\"0.14\", expect_size=\"28181504\"] \n  19 -> 20 [size =\"28181504\"]\n  20 [size=\"70300160\", alpha=\"0.13\", expect_size=\"28120064\"] \n  20 -> 21 [size =\"28120064\"]\n  21 [size=\"37204480\", alpha=\"0.05\", expect_size=\"14881792\"] \n  21 -> 22 [size =\"14881792\"]\n  22 [size=\"124951040\", alpha=\"0.09\", expect_size=\"49980416\"] \n  22 -> 23 [size =\"49980416\"]\n  23 [size=\"89940480\", alpha=\"0.07\", expect_size=\"35976192\"] \n  23 -> 24 [size =\"35976192\"]\n  24 [size=\"94502400\", alpha=\"0.06\", expect_size=\"37800960\"] \n  24 -> 25 [size =\"37800960\"]\n  25 [size=\"130821120\", alpha=\"0.02\", expect_size=\"52328448\"] \n  25 -> 26 [size =\"52328448\"]\n  26 [size=\"98088960\", alpha=\"0.18\", expect_size=\"39235584\"] \n  26 -> 27 [size =\"39235584\"]\n  27 [size=\"108794880\", alpha=\"0.08\", expect_size=\"43517952\"] \n  27 -> 28 [size =\"43517952\"]\n  28 [size=\"46420480\", alpha=\"0.09\", expect_size=\"18568192\"] \n  28 -> 29 [size =\"18568192\"]\n  29 [size=\"73054720\", alpha=\"0.01\", expect_size=\"29221888\"] \n  29 -> 30 [size =\"29221888\"]\n  30 [size=\"35827200\", alpha=\"0.01\", expect_size=\"14330880\"] \n  30 -> 31 [size =\"14330880\"]\n  31 [size=\"111262720\", alpha=\"0.08\", expect_size=\"44505088\"] \n  31 -> 32 [size =\"44505088\"]\n  32 [size=\"22745600\", alpha=\"0.19\", expect_size=\"9098240\"] \n  32 -> 33 [size =\"9098240\"]\n  33 [size=\"76833280\", alpha=\"0.18\", expect_size=\"30733312\"] \n  33 -> 34 [size =\"30733312\"]\n  34 [size=\"118120960\", alpha=\"0.17\", expect_size=\"47248384\"] \n  34 -> 35 [size =\"47248384\"]\n  35 [size=\"37665280\", alpha=\"0.09\", expect_size=\"15066112\"] \n  35 -> 36 [size =\"15066112\"]\n  36 [size=\"46750720\", alpha=\"0.06\", expect_size=\"18700288\"] \n  36 -> 37 [size =\"18700288\"]\n  37 [size=\"32698880\", alpha=\"0.06\", expect_size=\"13079552\"] \n  37 -> 38 [size =\"13079552\"]\n  38 [size=\"77916160\", alpha=\"0.15\", expect_size=\"31166464\"] \n  38 -> 39 [size =\"31166464\"]\n  39 [size=\"130140160\", alpha=\"0.13\", expect_size=\"52056064\"] \n  39 -> 40 [size =\"52056064\"]\n  40 [size=\"18818560\", alpha=\"0.01\", expect_size=\"7527424\"] \n  40 -> 41 [size =\"7527424\"]\n  41 [size=\"22092800\", alpha=\"0.12\", expect_size=\"8837120\"] \n  41 -> 42 [size =\"8837120\"]\n  42 [size=\"71472640\", alpha=\"0.03\", expect_size=\"28589056\"] \n  42 -> 43 [size =\"28589056\"]\n  43 [size=\"65697280\", alpha=\"0.07\", expect_size=\"26278912\"] \n  43 -> 44 [size =\"26278912\"]\n  44 [size=\"54538240\", alpha=\"0.04\", expect_size=\"21815296\"] \n  44 -> 45 [size =\"21815296\"]\n  45 [size=\"36224000\", alpha=\"0.02\", expect_size=\"14489600\"] \n  45 -> 46 [size =\"14489600\"]\n  46 [size=\"89922560\", alpha=\"0.14\", expect_size=\"35969024\"] \n  46 -> 47 [size =\"35969024\"]\n  47 [size=\"123440640\", alpha=\"0.02\", expect_size=\"49376256\"] \n  47 -> 48 [size =\"49376256\"]\n  48 [size=\"43714560\", alpha=\"0.16\", expect_size=\"17485824\"] \n  48 -> 49 [size =\"17485824\"]\n  49 [size=\"130869760\", alpha=\"0.20\", expect_size=\"52347904\"] \n  49 -> 50 [size =\"52347904\"]\n  50 [size=\"88358400\", alpha=\"0.08\", expect_size=\"35343360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.467.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53393920\", alpha=\"0.03\", expect_size=\"21357568\"] \n  1 -> 35 [size =\"21357568\"]\n  1 -> 38 [size =\"21357568\"]\n  1 -> 39 [size =\"21357568\"]\n  1 -> 43 [size =\"21357568\"]\n  1 -> 44 [size =\"21357568\"]\n  2 [size=\"74821120\", alpha=\"0.03\", expect_size=\"29928448\"] \n  2 -> 35 [size =\"29928448\"]\n  2 -> 38 [size =\"29928448\"]\n  2 -> 39 [size =\"29928448\"]\n  2 -> 40 [size =\"29928448\"]\n  2 -> 43 [size =\"29928448\"]\n  2 -> 44 [size =\"29928448\"]\n  2 -> 47 [size =\"29928448\"]\n  2 -> 49 [size =\"29928448\"]\n  2 -> 50 [size =\"29928448\"]\n  3 [size=\"52454400\", alpha=\"0.08\", expect_size=\"20981760\"] \n  3 -> 36 [size =\"20981760\"]\n  3 -> 39 [size =\"20981760\"]\n  3 -> 40 [size =\"20981760\"]\n  3 -> 44 [size =\"20981760\"]\n  3 -> 45 [size =\"20981760\"]\n  4 [size=\"24604160\", alpha=\"0.09\", expect_size=\"9841664\"] \n  4 -> 35 [size =\"9841664\"]\n  4 -> 36 [size =\"9841664\"]\n  4 -> 40 [size =\"9841664\"]\n  4 -> 44 [size =\"9841664\"]\n  4 -> 45 [size =\"9841664\"]\n  4 -> 46 [size =\"9841664\"]\n  5 [size=\"62446080\", alpha=\"0.03\", expect_size=\"24978432\"] \n  5 -> 36 [size =\"24978432\"]\n  5 -> 37 [size =\"24978432\"]\n  5 -> 44 [size =\"24978432\"]\n  5 -> 44 [size =\"24978432\"]\n  5 -> 45 [size =\"24978432\"]\n  5 -> 50 [size =\"24978432\"]\n  6 [size=\"55252480\", alpha=\"0.10\", expect_size=\"22100992\"] \n  6 -> 35 [size =\"22100992\"]\n  6 -> 39 [size =\"22100992\"]\n  6 -> 40 [size =\"22100992\"]\n  6 -> 41 [size =\"22100992\"]\n  6 -> 43 [size =\"22100992\"]\n  6 -> 44 [size =\"22100992\"]\n  6 -> 45 [size =\"22100992\"]\n  6 -> 47 [size =\"22100992\"]\n  6 -> 48 [size =\"22100992\"]\n  7 [size=\"124311040\", alpha=\"0.17\", expect_size=\"49724416\"] \n  7 -> 35 [size =\"49724416\"]\n  7 -> 36 [size =\"49724416\"]\n  7 -> 37 [size =\"49724416\"]\n  7 -> 38 [size =\"49724416\"]\n  7 -> 39 [size =\"49724416\"]\n  7 -> 40 [size =\"49724416\"]\n  7 -> 41 [size =\"49724416\"]\n  7 -> 44 [size =\"49724416\"]\n  7 -> 48 [size =\"49724416\"]\n  7 -> 49 [size =\"49724416\"]\n  8 [size=\"92211200\", alpha=\"0.11\", expect_size=\"36884480\"] \n  8 -> 35 [size =\"36884480\"]\n  8 -> 37 [size =\"36884480\"]\n  8 -> 38 [size =\"36884480\"]\n  8 -> 42 [size =\"36884480\"]\n  8 -> 44 [size =\"36884480\"]\n  8 -> 50 [size =\"36884480\"]\n  9 [size=\"106048000\", alpha=\"0.11\", expect_size=\"42419200\"] \n  9 -> 35 [size =\"42419200\"]\n  9 -> 38 [size =\"42419200\"]\n  9 -> 41 [size =\"42419200\"]\n  9 -> 44 [size =\"42419200\"]\n  9 -> 45 [size =\"42419200\"]\n  9 -> 48 [size =\"42419200\"]\n  9 -> 49 [size =\"42419200\"]\n  10 [size=\"19274240\", alpha=\"0.02\", expect_size=\"7709696\"] \n  10 -> 36 [size =\"7709696\"]\n  10 -> 37 [size =\"7709696\"]\n  10 -> 39 [size =\"7709696\"]\n  10 -> 41 [size =\"7709696\"]\n  10 -> 44 [size =\"7709696\"]\n  10 -> 46 [size =\"7709696\"]\n  10 -> 48 [size =\"7709696\"]\n  10 -> 50 [size =\"7709696\"]\n  11 [size=\"23569920\", alpha=\"0.16\", expect_size=\"9427968\"] \n  11 -> 37 [size =\"9427968\"]\n  11 -> 45 [size =\"9427968\"]\n  11 -> 46 [size =\"9427968\"]\n  11 -> 48 [size =\"9427968\"]\n  11 -> 50 [size =\"9427968\"]\n  12 [size=\"44131840\", alpha=\"0.18\", expect_size=\"17652736\"] \n  12 -> 44 [size =\"17652736\"]\n  12 -> 45 [size =\"17652736\"]\n  12 -> 46 [size =\"17652736\"]\n  12 -> 48 [size =\"17652736\"]\n  13 [size=\"61434880\", alpha=\"0.06\", expect_size=\"24573952\"] \n  13 -> 35 [size =\"24573952\"]\n  13 -> 39 [size =\"24573952\"]\n  13 -> 41 [size =\"24573952\"]\n  13 -> 43 [size =\"24573952\"]\n  13 -> 45 [size =\"24573952\"]\n  13 -> 48 [size =\"24573952\"]\n  13 -> 50 [size =\"24573952\"]\n  14 [size=\"106055680\", alpha=\"0.04\", expect_size=\"42422272\"] \n  14 -> 39 [size =\"42422272\"]\n  14 -> 43 [size =\"42422272\"]\n  14 -> 44 [size =\"42422272\"]\n  14 -> 46 [size =\"42422272\"]\n  14 -> 48 [size =\"42422272\"]\n  14 -> 48 [size =\"42422272\"]\n  14 -> 50 [size =\"42422272\"]\n  15 [size=\"38899200\", alpha=\"0.09\", expect_size=\"15559680\"] \n  15 -> 35 [size =\"15559680\"]\n  15 -> 39 [size =\"15559680\"]\n  15 -> 41 [size =\"15559680\"]\n  15 -> 43 [size =\"15559680\"]\n  15 -> 44 [size =\"15559680\"]\n  15 -> 47 [size =\"15559680\"]\n  15 -> 48 [size =\"15559680\"]\n  15 -> 50 [size =\"15559680\"]\n  16 [size=\"56862720\", alpha=\"0.12\", expect_size=\"22745088\"] \n  16 -> 39 [size =\"22745088\"]\n  16 -> 40 [size =\"22745088\"]\n  16 -> 41 [size =\"22745088\"]\n  16 -> 44 [size =\"22745088\"]\n  16 -> 45 [size =\"22745088\"]\n  16 -> 47 [size =\"22745088\"]\n  16 -> 48 [size =\"22745088\"]\n  16 -> 50 [size =\"22745088\"]\n  17 [size=\"113287680\", alpha=\"0.17\", expect_size=\"45315072\"] \n  17 -> 35 [size =\"45315072\"]\n  17 -> 41 [size =\"45315072\"]\n  17 -> 45 [size =\"45315072\"]\n  17 -> 46 [size =\"45315072\"]\n  17 -> 48 [size =\"45315072\"]\n  17 -> 50 [size =\"45315072\"]\n  18 [size=\"94965760\", alpha=\"0.07\", expect_size=\"37986304\"] \n  18 -> 35 [size =\"37986304\"]\n  18 -> 41 [size =\"37986304\"]\n  18 -> 46 [size =\"37986304\"]\n  18 -> 49 [size =\"37986304\"]\n  19 [size=\"40335360\", alpha=\"0.00\", expect_size=\"16134144\"] \n  19 -> 35 [size =\"16134144\"]\n  19 -> 36 [size =\"16134144\"]\n  19 -> 39 [size =\"16134144\"]\n  19 -> 41 [size =\"16134144\"]\n  19 -> 45 [size =\"16134144\"]\n  19 -> 47 [size =\"16134144\"]\n  19 -> 50 [size =\"16134144\"]\n  20 [size=\"107863040\", alpha=\"0.07\", expect_size=\"43145216\"] \n  20 -> 35 [size =\"43145216\"]\n  20 -> 37 [size =\"43145216\"]\n  20 -> 41 [size =\"43145216\"]\n  20 -> 43 [size =\"43145216\"]\n  20 -> 48 [size =\"43145216\"]\n  20 -> 50 [size =\"43145216\"]\n  21 [size=\"120642560\", alpha=\"0.01\", expect_size=\"48257024\"] \n  21 -> 35 [size =\"48257024\"]\n  21 -> 36 [size =\"48257024\"]\n  21 -> 37 [size =\"48257024\"]\n  21 -> 39 [size =\"48257024\"]\n  21 -> 43 [size =\"48257024\"]\n  21 -> 48 [size =\"48257024\"]\n  22 [size=\"95411200\", alpha=\"0.05\", expect_size=\"38164480\"] \n  22 -> 35 [size =\"38164480\"]\n  22 -> 36 [size =\"38164480\"]\n  22 -> 38 [size =\"38164480\"]\n  22 -> 39 [size =\"38164480\"]\n  22 -> 41 [size =\"38164480\"]\n  22 -> 42 [size =\"38164480\"]\n  22 -> 45 [size =\"38164480\"]\n  22 -> 48 [size =\"38164480\"]\n  23 [size=\"84326400\", alpha=\"0.16\", expect_size=\"33730560\"] \n  23 -> 35 [size =\"33730560\"]\n  23 -> 38 [size =\"33730560\"]\n  23 -> 39 [size =\"33730560\"]\n  23 -> 41 [size =\"33730560\"]\n  23 -> 46 [size =\"33730560\"]\n  23 -> 47 [size =\"33730560\"]\n  23 -> 48 [size =\"33730560\"]\n  23 -> 49 [size =\"33730560\"]\n  24 [size=\"117061120\", alpha=\"0.09\", expect_size=\"46824448\"] \n  24 -> 35 [size =\"46824448\"]\n  24 -> 36 [size =\"46824448\"]\n  24 -> 37 [size =\"46824448\"]\n  24 -> 39 [size =\"46824448\"]\n  24 -> 41 [size =\"46824448\"]\n  24 -> 44 [size =\"46824448\"]\n  24 -> 48 [size =\"46824448\"]\n  24 -> 49 [size =\"46824448\"]\n  25 [size=\"24542720\", alpha=\"0.10\", expect_size=\"9817088\"] \n  25 -> 35 [size =\"9817088\"]\n  25 -> 37 [size =\"9817088\"]\n  25 -> 37 [size =\"9817088\"]\n  25 -> 38 [size =\"9817088\"]\n  25 -> 39 [size =\"9817088\"]\n  25 -> 41 [size =\"9817088\"]\n  25 -> 44 [size =\"9817088\"]\n  26 [size=\"76183040\", alpha=\"0.18\", expect_size=\"30473216\"] \n  26 -> 35 [size =\"30473216\"]\n  26 -> 36 [size =\"30473216\"]\n  26 -> 39 [size =\"30473216\"]\n  26 -> 41 [size =\"30473216\"]\n  26 -> 44 [size =\"30473216\"]\n  26 -> 45 [size =\"30473216\"]\n  26 -> 48 [size =\"30473216\"]\n  26 -> 49 [size =\"30473216\"]\n  27 [size=\"26329600\", alpha=\"0.06\", expect_size=\"10531840\"] \n  27 -> 35 [size =\"10531840\"]\n  27 -> 36 [size =\"10531840\"]\n  27 -> 38 [size =\"10531840\"]\n  27 -> 39 [size =\"10531840\"]\n  27 -> 41 [size =\"10531840\"]\n  27 -> 44 [size =\"10531840\"]\n  27 -> 45 [size =\"10531840\"]\n  27 -> 48 [size =\"10531840\"]\n  27 -> 49 [size =\"10531840\"]\n  28 [size=\"125555200\", alpha=\"0.06\", expect_size=\"50222080\"] \n  28 -> 35 [size =\"50222080\"]\n  28 -> 36 [size =\"50222080\"]\n  28 -> 41 [size =\"50222080\"]\n  28 -> 44 [size =\"50222080\"]\n  28 -> 45 [size =\"50222080\"]\n  28 -> 48 [size =\"50222080\"]\n  29 [size=\"49077760\", alpha=\"0.03\", expect_size=\"19631104\"] \n  29 -> 41 [size =\"19631104\"]\n  29 -> 43 [size =\"19631104\"]\n  29 -> 44 [size =\"19631104\"]\n  29 -> 45 [size =\"19631104\"]\n  29 -> 46 [size =\"19631104\"]\n  29 -> 48 [size =\"19631104\"]\n  30 [size=\"51143680\", alpha=\"0.20\", expect_size=\"20457472\"] \n  30 -> 35 [size =\"20457472\"]\n  30 -> 37 [size =\"20457472\"]\n  30 -> 41 [size =\"20457472\"]\n  30 -> 45 [size =\"20457472\"]\n  30 -> 48 [size =\"20457472\"]\n  30 -> 49 [size =\"20457472\"]\n  31 [size=\"93936640\", alpha=\"0.19\", expect_size=\"37574656\"] \n  31 -> 35 [size =\"37574656\"]\n  31 -> 38 [size =\"37574656\"]\n  31 -> 39 [size =\"37574656\"]\n  31 -> 41 [size =\"37574656\"]\n  31 -> 48 [size =\"37574656\"]\n  31 -> 49 [size =\"37574656\"]\n  32 [size=\"99781120\", alpha=\"0.04\", expect_size=\"39912448\"] \n  32 -> 38 [size =\"39912448\"]\n  32 -> 39 [size =\"39912448\"]\n  32 -> 41 [size =\"39912448\"]\n  32 -> 41 [size =\"39912448\"]\n  32 -> 44 [size =\"39912448\"]\n  32 -> 45 [size =\"39912448\"]\n  32 -> 48 [size =\"39912448\"]\n  32 -> 49 [size =\"39912448\"]\n  33 [size=\"130391040\", alpha=\"0.16\", expect_size=\"52156416\"] \n  33 -> 35 [size =\"52156416\"]\n  33 -> 38 [size =\"52156416\"]\n  33 -> 39 [size =\"52156416\"]\n  33 -> 40 [size =\"52156416\"]\n  33 -> 44 [size =\"52156416\"]\n  33 -> 45 [size =\"52156416\"]\n  33 -> 49 [size =\"52156416\"]\n  34 [size=\"107148800\", alpha=\"0.05\", expect_size=\"42859520\"] \n  34 -> 35 [size =\"42859520\"]\n  34 -> 38 [size =\"42859520\"]\n  34 -> 40 [size =\"42859520\"]\n  34 -> 44 [size =\"42859520\"]\n  34 -> 45 [size =\"42859520\"]\n  34 -> 47 [size =\"42859520\"]\n  34 -> 48 [size =\"42859520\"]\n  34 -> 49 [size =\"42859520\"]\n  34 -> 50 [size =\"42859520\"]\n  35 [size=\"41553920\", alpha=\"0.17\", expect_size=\"16621568\"] \n  36 [size=\"100912640\", alpha=\"0.17\", expect_size=\"40365056\"] \n  37 [size=\"91440640\", alpha=\"0.15\", expect_size=\"36576256\"] \n  38 [size=\"124346880\", alpha=\"0.06\", expect_size=\"49738752\"] \n  39 [size=\"42803200\", alpha=\"0.01\", expect_size=\"17121280\"] \n  40 [size=\"57717760\", alpha=\"0.13\", expect_size=\"23087104\"] \n  41 [size=\"57297920\", alpha=\"0.03\", expect_size=\"22919168\"] \n  42 [size=\"52001280\", alpha=\"0.07\", expect_size=\"20800512\"] \n  43 [size=\"72860160\", alpha=\"0.03\", expect_size=\"29144064\"] \n  44 [size=\"50232320\", alpha=\"0.17\", expect_size=\"20092928\"] \n  45 [size=\"77073920\", alpha=\"0.12\", expect_size=\"30829568\"] \n  46 [size=\"61212160\", alpha=\"0.18\", expect_size=\"24484864\"] \n  47 [size=\"46400000\", alpha=\"0.07\", expect_size=\"18560000\"] \n  48 [size=\"14855680\", alpha=\"0.14\", expect_size=\"5942272\"] \n  49 [size=\"48437760\", alpha=\"0.08\", expect_size=\"19375104\"] \n  50 [size=\"56414720\", alpha=\"0.08\", expect_size=\"22565888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.468.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81575253\", alpha=\"0.20\", expect_size=\"24472576\"] \n  1 -> 4 [size =\"24472576\"]\n  2 [size=\"49152000\", alpha=\"0.05\", expect_size=\"14745600\"] \n  2 -> 3 [size =\"14745600\"]\n  2 -> 4 [size =\"14745600\"]\n  3 [size=\"123361280\", alpha=\"0.10\", expect_size=\"37008384\"] \n  3 -> 5 [size =\"37008384\"]\n  4 [size=\"22978560\", alpha=\"0.17\", expect_size=\"6893568\"] \n  4 -> 5 [size =\"6893568\"]\n  4 -> 6 [size =\"6893568\"]\n  5 [size=\"108178773\", alpha=\"0.13\", expect_size=\"32453632\"] \n  5 -> 7 [size =\"32453632\"]\n  6 [size=\"145319253\", alpha=\"0.14\", expect_size=\"43595776\"] \n  6 -> 8 [size =\"43595776\"]\n  7 [size=\"129078613\", alpha=\"0.19\", expect_size=\"38723584\"] \n  7 -> 9 [size =\"38723584\"]\n  7 -> 10 [size =\"38723584\"]\n  7 -> 11 [size =\"38723584\"]\n  8 [size=\"134430720\", alpha=\"0.02\", expect_size=\"40329216\"] \n  8 -> 10 [size =\"40329216\"]\n  9 [size=\"136881493\", alpha=\"0.03\", expect_size=\"41064448\"] \n  9 -> 12 [size =\"41064448\"]\n  9 -> 13 [size =\"41064448\"]\n  10 [size=\"27180373\", alpha=\"0.20\", expect_size=\"8154112\"] \n  10 -> 13 [size =\"8154112\"]\n  11 [size=\"145360213\", alpha=\"0.09\", expect_size=\"43608064\"] \n  12 [size=\"144913067\", alpha=\"0.10\", expect_size=\"43473920\"] \n  12 -> 14 [size =\"43473920\"]\n  12 -> 15 [size =\"43473920\"]\n  13 [size=\"28501333\", alpha=\"0.12\", expect_size=\"8550400\"] \n  13 -> 14 [size =\"8550400\"]\n  13 -> 15 [size =\"8550400\"]\n  13 -> 16 [size =\"8550400\"]\n  14 [size=\"109230080\", alpha=\"0.02\", expect_size=\"32769024\"] \n  14 -> 18 [size =\"32769024\"]\n  15 [size=\"82814293\", alpha=\"0.02\", expect_size=\"24844288\"] \n  16 [size=\"31679147\", alpha=\"0.11\", expect_size=\"9503744\"] \n  16 -> 17 [size =\"9503744\"]\n  17 [size=\"144380587\", alpha=\"0.07\", expect_size=\"43314176\"] \n  17 -> 19 [size =\"43314176\"]\n  18 [size=\"137796267\", alpha=\"0.12\", expect_size=\"41338880\"] \n  18 -> 19 [size =\"41338880\"]\n  18 -> 20 [size =\"41338880\"]\n  19 [size=\"153538560\", alpha=\"0.05\", expect_size=\"46061568\"] \n  19 -> 21 [size =\"46061568\"]\n  19 -> 22 [size =\"46061568\"]\n  20 [size=\"173451947\", alpha=\"0.19\", expect_size=\"52035584\"] \n  20 -> 21 [size =\"52035584\"]\n  20 -> 22 [size =\"52035584\"]\n  21 [size=\"173288107\", alpha=\"0.01\", expect_size=\"51986432\"] \n  21 -> 23 [size =\"51986432\"]\n  21 -> 24 [size =\"51986432\"]\n  21 -> 25 [size =\"51986432\"]\n  22 [size=\"89654613\", alpha=\"0.08\", expect_size=\"26896384\"] \n  22 -> 24 [size =\"26896384\"]\n  23 [size=\"172062720\", alpha=\"0.07\", expect_size=\"51618816\"] \n  23 -> 27 [size =\"51618816\"]\n  24 [size=\"108991147\", alpha=\"0.08\", expect_size=\"32697344\"] \n  24 -> 26 [size =\"32697344\"]\n  25 [size=\"127781547\", alpha=\"0.20\", expect_size=\"38334464\"] \n  26 [size=\"143964160\", alpha=\"0.08\", expect_size=\"43189248\"] \n  26 -> 28 [size =\"43189248\"]\n  27 [size=\"69823147\", alpha=\"0.11\", expect_size=\"20946944\"] \n  27 -> 28 [size =\"20946944\"]\n  27 -> 29 [size =\"20946944\"]\n  28 [size=\"128471040\", alpha=\"0.08\", expect_size=\"38541312\"] \n  28 -> 30 [size =\"38541312\"]\n  28 -> 31 [size =\"38541312\"]\n  29 [size=\"67969707\", alpha=\"0.00\", expect_size=\"20390912\"] \n  29 -> 30 [size =\"20390912\"]\n  29 -> 31 [size =\"20390912\"]\n  30 [size=\"105666560\", alpha=\"0.14\", expect_size=\"31699968\"] \n  30 -> 32 [size =\"31699968\"]\n  30 -> 33 [size =\"31699968\"]\n  31 [size=\"97317547\", alpha=\"0.04\", expect_size=\"29195264\"] \n  31 -> 32 [size =\"29195264\"]\n  32 [size=\"107018240\", alpha=\"0.10\", expect_size=\"32105472\"] \n  32 -> 34 [size =\"32105472\"]\n  32 -> 35 [size =\"32105472\"]\n  33 [size=\"166444373\", alpha=\"0.18\", expect_size=\"49933312\"] \n  33 -> 35 [size =\"49933312\"]\n  34 [size=\"66914987\", alpha=\"0.17\", expect_size=\"20074496\"] \n  34 -> 36 [size =\"20074496\"]\n  34 -> 37 [size =\"20074496\"]\n  35 [size=\"128498347\", alpha=\"0.05\", expect_size=\"38549504\"] \n  36 [size=\"127330987\", alpha=\"0.14\", expect_size=\"38199296\"] \n  36 -> 38 [size =\"38199296\"]\n  37 [size=\"33972907\", alpha=\"0.20\", expect_size=\"10191872\"] \n  37 -> 38 [size =\"10191872\"]\n  37 -> 39 [size =\"10191872\"]\n  38 [size=\"117306027\", alpha=\"0.01\", expect_size=\"35191808\"] \n  38 -> 40 [size =\"35191808\"]\n  38 -> 41 [size =\"35191808\"]\n  39 [size=\"22432427\", alpha=\"0.19\", expect_size=\"6729728\"] \n  39 -> 40 [size =\"6729728\"]\n  40 [size=\"26047147\", alpha=\"0.17\", expect_size=\"7814144\"] \n  40 -> 42 [size =\"7814144\"]\n  40 -> 43 [size =\"7814144\"]\n  41 [size=\"137850880\", alpha=\"0.15\", expect_size=\"41355264\"] \n  41 -> 43 [size =\"41355264\"]\n  42 [size=\"171161600\", alpha=\"0.02\", expect_size=\"51348480\"] \n  42 -> 44 [size =\"51348480\"]\n  43 [size=\"96129707\", alpha=\"0.08\", expect_size=\"28838912\"] \n  43 -> 45 [size =\"28838912\"]\n  44 [size=\"81070080\", alpha=\"0.07\", expect_size=\"24321024\"] \n  44 -> 46 [size =\"24321024\"]\n  44 -> 48 [size =\"24321024\"]\n  45 [size=\"60446720\", alpha=\"0.19\", expect_size=\"18134016\"] \n  45 -> 47 [size =\"18134016\"]\n  46 [size=\"99601067\", alpha=\"0.07\", expect_size=\"29880320\"] \n  47 [size=\"55449600\", alpha=\"0.02\", expect_size=\"16634880\"] \n  47 -> 49 [size =\"16634880\"]\n  48 [size=\"54900053\", alpha=\"0.11\", expect_size=\"16470016\"] \n  48 -> 49 [size =\"16470016\"]\n  48 -> 50 [size =\"16470016\"]\n  49 [size=\"60989440\", alpha=\"0.07\", expect_size=\"18296832\"] \n  50 [size=\"52490240\", alpha=\"0.14\", expect_size=\"15747072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.469.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82780160\", alpha=\"0.11\", expect_size=\"24834048\"] \n  1 -> 21 [size =\"24834048\"]\n  1 -> 24 [size =\"24834048\"]\n  2 [size=\"69782187\", alpha=\"0.14\", expect_size=\"20934656\"] \n  2 -> 19 [size =\"20934656\"]\n  2 -> 20 [size =\"20934656\"]\n  2 -> 21 [size =\"20934656\"]\n  2 -> 22 [size =\"20934656\"]\n  3 [size=\"162665813\", alpha=\"0.11\", expect_size=\"48799744\"] \n  3 -> 15 [size =\"48799744\"]\n  3 -> 19 [size =\"48799744\"]\n  3 -> 20 [size =\"48799744\"]\n  3 -> 22 [size =\"48799744\"]\n  3 -> 24 [size =\"48799744\"]\n  3 -> 27 [size =\"48799744\"]\n  4 [size=\"119118507\", alpha=\"0.11\", expect_size=\"35735552\"] \n  4 -> 15 [size =\"35735552\"]\n  4 -> 16 [size =\"35735552\"]\n  4 -> 17 [size =\"35735552\"]\n  4 -> 19 [size =\"35735552\"]\n  4 -> 20 [size =\"35735552\"]\n  4 -> 22 [size =\"35735552\"]\n  4 -> 24 [size =\"35735552\"]\n  4 -> 25 [size =\"35735552\"]\n  4 -> 27 [size =\"35735552\"]\n  5 [size=\"157289813\", alpha=\"0.18\", expect_size=\"47186944\"] \n  5 -> 15 [size =\"47186944\"]\n  5 -> 19 [size =\"47186944\"]\n  5 -> 20 [size =\"47186944\"]\n  5 -> 23 [size =\"47186944\"]\n  6 [size=\"117828267\", alpha=\"0.20\", expect_size=\"35348480\"] \n  6 -> 15 [size =\"35348480\"]\n  6 -> 21 [size =\"35348480\"]\n  6 -> 24 [size =\"35348480\"]\n  7 [size=\"122985813\", alpha=\"0.19\", expect_size=\"36895744\"] \n  7 -> 15 [size =\"36895744\"]\n  7 -> 21 [size =\"36895744\"]\n  7 -> 24 [size =\"36895744\"]\n  7 -> 25 [size =\"36895744\"]\n  8 [size=\"170352640\", alpha=\"0.19\", expect_size=\"51105792\"] \n  8 -> 22 [size =\"51105792\"]\n  8 -> 23 [size =\"51105792\"]\n  8 -> 26 [size =\"51105792\"]\n  8 -> 27 [size =\"51105792\"]\n  9 [size=\"90436267\", alpha=\"0.07\", expect_size=\"27130880\"] \n  9 -> 27 [size =\"27130880\"]\n  10 [size=\"164901547\", alpha=\"0.18\", expect_size=\"49470464\"] \n  10 -> 18 [size =\"49470464\"]\n  10 -> 19 [size =\"49470464\"]\n  10 -> 20 [size =\"49470464\"]\n  10 -> 23 [size =\"49470464\"]\n  10 -> 25 [size =\"49470464\"]\n  10 -> 27 [size =\"49470464\"]\n  10 -> 28 [size =\"49470464\"]\n  11 [size=\"159068160\", alpha=\"0.06\", expect_size=\"47720448\"] \n  11 -> 20 [size =\"47720448\"]\n  11 -> 22 [size =\"47720448\"]\n  11 -> 27 [size =\"47720448\"]\n  12 [size=\"91364693\", alpha=\"0.17\", expect_size=\"27409408\"] \n  12 -> 18 [size =\"27409408\"]\n  12 -> 19 [size =\"27409408\"]\n  12 -> 22 [size =\"27409408\"]\n  13 [size=\"46796800\", alpha=\"0.12\", expect_size=\"14039040\"] \n  13 -> 21 [size =\"14039040\"]\n  13 -> 25 [size =\"14039040\"]\n  13 -> 27 [size =\"14039040\"]\n  13 -> 28 [size =\"14039040\"]\n  13 -> 29 [size =\"14039040\"]\n  14 [size=\"133474987\", alpha=\"0.10\", expect_size=\"40042496\"] \n  14 -> 19 [size =\"40042496\"]\n  14 -> 21 [size =\"40042496\"]\n  14 -> 25 [size =\"40042496\"]\n  14 -> 29 [size =\"40042496\"]\n  15 [size=\"65774933\", alpha=\"0.18\", expect_size=\"19732480\"] \n  15 -> 32 [size =\"19732480\"]\n  15 -> 41 [size =\"19732480\"]\n  15 -> 44 [size =\"19732480\"]\n  16 [size=\"53695147\", alpha=\"0.03\", expect_size=\"16108544\"] \n  16 -> 30 [size =\"16108544\"]\n  16 -> 35 [size =\"16108544\"]\n  16 -> 44 [size =\"16108544\"]\n  17 [size=\"52654080\", alpha=\"0.07\", expect_size=\"15796224\"] \n  17 -> 35 [size =\"15796224\"]\n  17 -> 38 [size =\"15796224\"]\n  18 [size=\"43827200\", alpha=\"0.20\", expect_size=\"13148160\"] \n  18 -> 33 [size =\"13148160\"]\n  18 -> 34 [size =\"13148160\"]\n  18 -> 40 [size =\"13148160\"]\n  18 -> 42 [size =\"13148160\"]\n  19 [size=\"38386347\", alpha=\"0.06\", expect_size=\"11515904\"] \n  19 -> 31 [size =\"11515904\"]\n  19 -> 32 [size =\"11515904\"]\n  19 -> 34 [size =\"11515904\"]\n  20 [size=\"90292907\", alpha=\"0.06\", expect_size=\"27087872\"] \n  20 -> 30 [size =\"27087872\"]\n  20 -> 31 [size =\"27087872\"]\n  20 -> 34 [size =\"27087872\"]\n  20 -> 43 [size =\"27087872\"]\n  21 [size=\"72297813\", alpha=\"0.15\", expect_size=\"21689344\"] \n  21 -> 30 [size =\"21689344\"]\n  21 -> 32 [size =\"21689344\"]\n  21 -> 35 [size =\"21689344\"]\n  22 [size=\"118889813\", alpha=\"0.10\", expect_size=\"35666944\"] \n  22 -> 33 [size =\"35666944\"]\n  22 -> 34 [size =\"35666944\"]\n  22 -> 39 [size =\"35666944\"]\n  22 -> 40 [size =\"35666944\"]\n  22 -> 41 [size =\"35666944\"]\n  22 -> 44 [size =\"35666944\"]\n  23 [size=\"96358400\", alpha=\"0.04\", expect_size=\"28907520\"] \n  23 -> 36 [size =\"28907520\"]\n  23 -> 39 [size =\"28907520\"]\n  23 -> 40 [size =\"28907520\"]\n  23 -> 41 [size =\"28907520\"]\n  24 [size=\"34676053\", alpha=\"0.11\", expect_size=\"10402816\"] \n  24 -> 32 [size =\"10402816\"]\n  24 -> 35 [size =\"10402816\"]\n  24 -> 36 [size =\"10402816\"]\n  24 -> 37 [size =\"10402816\"]\n  24 -> 40 [size =\"10402816\"]\n  24 -> 42 [size =\"10402816\"]\n  24 -> 43 [size =\"10402816\"]\n  25 [size=\"113281707\", alpha=\"0.15\", expect_size=\"33984512\"] \n  25 -> 30 [size =\"33984512\"]\n  25 -> 36 [size =\"33984512\"]\n  25 -> 36 [size =\"33984512\"]\n  25 -> 40 [size =\"33984512\"]\n  25 -> 42 [size =\"33984512\"]\n  26 [size=\"101154133\", alpha=\"0.13\", expect_size=\"30346240\"] \n  26 -> 34 [size =\"30346240\"]\n  26 -> 35 [size =\"30346240\"]\n  26 -> 36 [size =\"30346240\"]\n  26 -> 39 [size =\"30346240\"]\n  26 -> 43 [size =\"30346240\"]\n  27 [size=\"127208107\", alpha=\"0.03\", expect_size=\"38162432\"] \n  27 -> 33 [size =\"38162432\"]\n  27 -> 35 [size =\"38162432\"]\n  27 -> 36 [size =\"38162432\"]\n  27 -> 39 [size =\"38162432\"]\n  27 -> 40 [size =\"38162432\"]\n  28 [size=\"22377813\", alpha=\"0.14\", expect_size=\"6713344\"] \n  28 -> 33 [size =\"6713344\"]\n  28 -> 34 [size =\"6713344\"]\n  28 -> 35 [size =\"6713344\"]\n  28 -> 41 [size =\"6713344\"]\n  28 -> 43 [size =\"6713344\"]\n  29 [size=\"18595840\", alpha=\"0.13\", expect_size=\"5578752\"] \n  29 -> 32 [size =\"5578752\"]\n  29 -> 35 [size =\"5578752\"]\n  29 -> 44 [size =\"5578752\"]\n  30 [size=\"66157227\", alpha=\"0.11\", expect_size=\"19847168\"] \n  30 -> 46 [size =\"19847168\"]\n  30 -> 47 [size =\"19847168\"]\n  31 [size=\"116715520\", alpha=\"0.07\", expect_size=\"35014656\"] \n  31 -> 50 [size =\"35014656\"]\n  32 [size=\"78291627\", alpha=\"0.13\", expect_size=\"23487488\"] \n  32 -> 48 [size =\"23487488\"]\n  33 [size=\"160474453\", alpha=\"0.02\", expect_size=\"48142336\"] \n  33 -> 45 [size =\"48142336\"]\n  33 -> 47 [size =\"48142336\"]\n  33 -> 49 [size =\"48142336\"]\n  33 -> 50 [size =\"48142336\"]\n  34 [size=\"36604587\", alpha=\"0.06\", expect_size=\"10981376\"] \n  34 -> 47 [size =\"10981376\"]\n  34 -> 48 [size =\"10981376\"]\n  35 [size=\"122893653\", alpha=\"0.16\", expect_size=\"36868096\"] \n  35 -> 48 [size =\"36868096\"]\n  36 [size=\"87299413\", alpha=\"0.11\", expect_size=\"26189824\"] \n  36 -> 47 [size =\"26189824\"]\n  36 -> 50 [size =\"26189824\"]\n  37 [size=\"30177280\", alpha=\"0.10\", expect_size=\"9053184\"] \n  37 -> 45 [size =\"9053184\"]\n  37 -> 47 [size =\"9053184\"]\n  37 -> 48 [size =\"9053184\"]\n  37 -> 50 [size =\"9053184\"]\n  38 [size=\"57036800\", alpha=\"0.13\", expect_size=\"17111040\"] \n  38 -> 47 [size =\"17111040\"]\n  38 -> 47 [size =\"17111040\"]\n  39 [size=\"163464533\", alpha=\"0.18\", expect_size=\"49039360\"] \n  40 [size=\"107857920\", alpha=\"0.13\", expect_size=\"32357376\"] \n  40 -> 46 [size =\"32357376\"]\n  40 -> 49 [size =\"32357376\"]\n  41 [size=\"37635413\", alpha=\"0.14\", expect_size=\"11290624\"] \n  41 -> 46 [size =\"11290624\"]\n  41 -> 48 [size =\"11290624\"]\n  42 [size=\"94392320\", alpha=\"0.08\", expect_size=\"28317696\"] \n  42 -> 45 [size =\"28317696\"]\n  42 -> 50 [size =\"28317696\"]\n  43 [size=\"37444267\", alpha=\"0.13\", expect_size=\"11233280\"] \n  43 -> 45 [size =\"11233280\"]\n  43 -> 46 [size =\"11233280\"]\n  44 [size=\"53401600\", alpha=\"0.19\", expect_size=\"16020480\"] \n  44 -> 46 [size =\"16020480\"]\n  44 -> 47 [size =\"16020480\"]\n  45 [size=\"100976640\", alpha=\"0.18\", expect_size=\"30292992\"] \n  46 [size=\"71185067\", alpha=\"0.08\", expect_size=\"21355520\"] \n  47 [size=\"157535573\", alpha=\"0.11\", expect_size=\"47260672\"] \n  48 [size=\"80633173\", alpha=\"0.15\", expect_size=\"24189952\"] \n  49 [size=\"24111787\", alpha=\"0.19\", expect_size=\"7233536\"] \n  50 [size=\"166178133\", alpha=\"0.09\", expect_size=\"49853440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127549440\", alpha=\"0.10\", expect_size=\"38264832\"] \n  1 -> 5 [size =\"38264832\"]\n  1 -> 6 [size =\"38264832\"]\n  2 [size=\"170482347\", alpha=\"0.04\", expect_size=\"51144704\"] \n  2 -> 6 [size =\"51144704\"]\n  2 -> 7 [size =\"51144704\"]\n  3 [size=\"128597333\", alpha=\"0.11\", expect_size=\"38579200\"] \n  3 -> 6 [size =\"38579200\"]\n  3 -> 7 [size =\"38579200\"]\n  4 [size=\"92296533\", alpha=\"0.18\", expect_size=\"27688960\"] \n  4 -> 7 [size =\"27688960\"]\n  5 [size=\"72485547\", alpha=\"0.14\", expect_size=\"21745664\"] \n  5 -> 8 [size =\"21745664\"]\n  5 -> 9 [size =\"21745664\"]\n  5 -> 10 [size =\"21745664\"]\n  5 -> 11 [size =\"21745664\"]\n  5 -> 12 [size =\"21745664\"]\n  5 -> 13 [size =\"21745664\"]\n  5 -> 14 [size =\"21745664\"]\n  6 [size=\"33068373\", alpha=\"0.08\", expect_size=\"9920512\"] \n  6 -> 8 [size =\"9920512\"]\n  6 -> 9 [size =\"9920512\"]\n  6 -> 10 [size =\"9920512\"]\n  6 -> 11 [size =\"9920512\"]\n  6 -> 13 [size =\"9920512\"]\n  6 -> 14 [size =\"9920512\"]\n  7 [size=\"142001493\", alpha=\"0.09\", expect_size=\"42600448\"] \n  7 -> 8 [size =\"42600448\"]\n  7 -> 9 [size =\"42600448\"]\n  7 -> 10 [size =\"42600448\"]\n  7 -> 11 [size =\"42600448\"]\n  7 -> 12 [size =\"42600448\"]\n  8 [size=\"115869013\", alpha=\"0.11\", expect_size=\"34760704\"] \n  8 -> 16 [size =\"34760704\"]\n  8 -> 17 [size =\"34760704\"]\n  8 -> 18 [size =\"34760704\"]\n  8 -> 19 [size =\"34760704\"]\n  8 -> 20 [size =\"34760704\"]\n  8 -> 21 [size =\"34760704\"]\n  9 [size=\"117019307\", alpha=\"0.03\", expect_size=\"35105792\"] \n  9 -> 17 [size =\"35105792\"]\n  9 -> 19 [size =\"35105792\"]\n  9 -> 20 [size =\"35105792\"]\n  10 [size=\"104936107\", alpha=\"0.14\", expect_size=\"31480832\"] \n  10 -> 15 [size =\"31480832\"]\n  10 -> 19 [size =\"31480832\"]\n  11 [size=\"163375787\", alpha=\"0.17\", expect_size=\"49012736\"] \n  11 -> 18 [size =\"49012736\"]\n  11 -> 19 [size =\"49012736\"]\n  12 [size=\"87504213\", alpha=\"0.08\", expect_size=\"26251264\"] \n  12 -> 18 [size =\"26251264\"]\n  12 -> 19 [size =\"26251264\"]\n  12 -> 21 [size =\"26251264\"]\n  13 [size=\"122798080\", alpha=\"0.00\", expect_size=\"36839424\"] \n  13 -> 18 [size =\"36839424\"]\n  13 -> 19 [size =\"36839424\"]\n  13 -> 20 [size =\"36839424\"]\n  13 -> 21 [size =\"36839424\"]\n  14 [size=\"48694613\", alpha=\"0.00\", expect_size=\"14608384\"] \n  14 -> 16 [size =\"14608384\"]\n  14 -> 17 [size =\"14608384\"]\n  14 -> 21 [size =\"14608384\"]\n  15 [size=\"30511787\", alpha=\"0.16\", expect_size=\"9153536\"] \n  15 -> 23 [size =\"9153536\"]\n  15 -> 24 [size =\"9153536\"]\n  15 -> 26 [size =\"9153536\"]\n  15 -> 28 [size =\"9153536\"]\n  15 -> 29 [size =\"9153536\"]\n  15 -> 30 [size =\"9153536\"]\n  16 [size=\"141161813\", alpha=\"0.11\", expect_size=\"42348544\"] \n  16 -> 22 [size =\"42348544\"]\n  16 -> 23 [size =\"42348544\"]\n  16 -> 25 [size =\"42348544\"]\n  16 -> 26 [size =\"42348544\"]\n  16 -> 27 [size =\"42348544\"]\n  16 -> 28 [size =\"42348544\"]\n  16 -> 30 [size =\"42348544\"]\n  17 [size=\"49899520\", alpha=\"0.14\", expect_size=\"14969856\"] \n  17 -> 22 [size =\"14969856\"]\n  17 -> 24 [size =\"14969856\"]\n  17 -> 25 [size =\"14969856\"]\n  17 -> 26 [size =\"14969856\"]\n  17 -> 28 [size =\"14969856\"]\n  17 -> 29 [size =\"14969856\"]\n  18 [size=\"121545387\", alpha=\"0.02\", expect_size=\"36463616\"] \n  18 -> 22 [size =\"36463616\"]\n  18 -> 24 [size =\"36463616\"]\n  18 -> 26 [size =\"36463616\"]\n  18 -> 27 [size =\"36463616\"]\n  18 -> 28 [size =\"36463616\"]\n  18 -> 29 [size =\"36463616\"]\n  19 [size=\"51633493\", alpha=\"0.20\", expect_size=\"15490048\"] \n  19 -> 22 [size =\"15490048\"]\n  19 -> 26 [size =\"15490048\"]\n  19 -> 28 [size =\"15490048\"]\n  19 -> 29 [size =\"15490048\"]\n  20 [size=\"74936320\", alpha=\"0.11\", expect_size=\"22480896\"] \n  20 -> 22 [size =\"22480896\"]\n  20 -> 24 [size =\"22480896\"]\n  20 -> 26 [size =\"22480896\"]\n  20 -> 28 [size =\"22480896\"]\n  21 [size=\"30965760\", alpha=\"0.16\", expect_size=\"9289728\"] \n  21 -> 22 [size =\"9289728\"]\n  21 -> 23 [size =\"9289728\"]\n  21 -> 24 [size =\"9289728\"]\n  21 -> 25 [size =\"9289728\"]\n  21 -> 26 [size =\"9289728\"]\n  21 -> 27 [size =\"9289728\"]\n  21 -> 28 [size =\"9289728\"]\n  22 [size=\"164836693\", alpha=\"0.20\", expect_size=\"49451008\"] \n  22 -> 31 [size =\"49451008\"]\n  22 -> 32 [size =\"49451008\"]\n  22 -> 36 [size =\"49451008\"]\n  22 -> 37 [size =\"49451008\"]\n  23 [size=\"68782080\", alpha=\"0.18\", expect_size=\"20634624\"] \n  23 -> 31 [size =\"20634624\"]\n  23 -> 32 [size =\"20634624\"]\n  23 -> 34 [size =\"20634624\"]\n  23 -> 35 [size =\"20634624\"]\n  23 -> 36 [size =\"20634624\"]\n  23 -> 37 [size =\"20634624\"]\n  24 [size=\"71823360\", alpha=\"0.06\", expect_size=\"21547008\"] \n  24 -> 31 [size =\"21547008\"]\n  24 -> 35 [size =\"21547008\"]\n  24 -> 37 [size =\"21547008\"]\n  25 [size=\"72553813\", alpha=\"0.01\", expect_size=\"21766144\"] \n  25 -> 33 [size =\"21766144\"]\n  25 -> 35 [size =\"21766144\"]\n  25 -> 36 [size =\"21766144\"]\n  25 -> 37 [size =\"21766144\"]\n  26 [size=\"37696853\", alpha=\"0.18\", expect_size=\"11309056\"] \n  26 -> 37 [size =\"11309056\"]\n  27 [size=\"127344640\", alpha=\"0.10\", expect_size=\"38203392\"] \n  27 -> 32 [size =\"38203392\"]\n  27 -> 34 [size =\"38203392\"]\n  27 -> 37 [size =\"38203392\"]\n  28 [size=\"80397653\", alpha=\"0.16\", expect_size=\"24119296\"] \n  28 -> 32 [size =\"24119296\"]\n  28 -> 34 [size =\"24119296\"]\n  28 -> 37 [size =\"24119296\"]\n  29 [size=\"94211413\", alpha=\"0.14\", expect_size=\"28263424\"] \n  29 -> 32 [size =\"28263424\"]\n  29 -> 33 [size =\"28263424\"]\n  29 -> 34 [size =\"28263424\"]\n  29 -> 37 [size =\"28263424\"]\n  30 [size=\"93911040\", alpha=\"0.03\", expect_size=\"28173312\"] \n  30 -> 32 [size =\"28173312\"]\n  30 -> 34 [size =\"28173312\"]\n  30 -> 35 [size =\"28173312\"]\n  30 -> 36 [size =\"28173312\"]\n  30 -> 37 [size =\"28173312\"]\n  31 [size=\"21179733\", alpha=\"0.10\", expect_size=\"6353920\"] \n  31 -> 39 [size =\"6353920\"]\n  31 -> 40 [size =\"6353920\"]\n  31 -> 41 [size =\"6353920\"]\n  31 -> 42 [size =\"6353920\"]\n  31 -> 43 [size =\"6353920\"]\n  32 [size=\"143377067\", alpha=\"0.07\", expect_size=\"43013120\"] \n  32 -> 39 [size =\"43013120\"]\n  32 -> 41 [size =\"43013120\"]\n  32 -> 42 [size =\"43013120\"]\n  32 -> 44 [size =\"43013120\"]\n  33 [size=\"141649920\", alpha=\"0.16\", expect_size=\"42494976\"] \n  33 -> 40 [size =\"42494976\"]\n  33 -> 42 [size =\"42494976\"]\n  33 -> 44 [size =\"42494976\"]\n  33 -> 44 [size =\"42494976\"]\n  34 [size=\"127122773\", alpha=\"0.10\", expect_size=\"38136832\"] \n  34 -> 38 [size =\"38136832\"]\n  34 -> 40 [size =\"38136832\"]\n  34 -> 43 [size =\"38136832\"]\n  34 -> 44 [size =\"38136832\"]\n  35 [size=\"174622720\", alpha=\"0.06\", expect_size=\"52386816\"] \n  35 -> 40 [size =\"52386816\"]\n  35 -> 40 [size =\"52386816\"]\n  35 -> 44 [size =\"52386816\"]\n  36 [size=\"24579413\", alpha=\"0.17\", expect_size=\"7373824\"] \n  36 -> 39 [size =\"7373824\"]\n  37 [size=\"164454400\", alpha=\"0.12\", expect_size=\"49336320\"] \n  37 -> 39 [size =\"49336320\"]\n  37 -> 41 [size =\"49336320\"]\n  37 -> 42 [size =\"49336320\"]\n  37 -> 43 [size =\"49336320\"]\n  38 [size=\"89620480\", alpha=\"0.01\", expect_size=\"26886144\"] \n  38 -> 45 [size =\"26886144\"]\n  38 -> 48 [size =\"26886144\"]\n  38 -> 49 [size =\"26886144\"]\n  39 [size=\"55767040\", alpha=\"0.14\", expect_size=\"16730112\"] \n  39 -> 45 [size =\"16730112\"]\n  39 -> 47 [size =\"16730112\"]\n  40 [size=\"162433707\", alpha=\"0.14\", expect_size=\"48730112\"] \n  40 -> 45 [size =\"48730112\"]\n  40 -> 46 [size =\"48730112\"]\n  40 -> 47 [size =\"48730112\"]\n  40 -> 48 [size =\"48730112\"]\n  40 -> 49 [size =\"48730112\"]\n  40 -> 50 [size =\"48730112\"]\n  41 [size=\"25227947\", alpha=\"0.16\", expect_size=\"7568384\"] \n  41 -> 47 [size =\"7568384\"]\n  41 -> 48 [size =\"7568384\"]\n  41 -> 49 [size =\"7568384\"]\n  42 [size=\"104618667\", alpha=\"0.16\", expect_size=\"31385600\"] \n  42 -> 45 [size =\"31385600\"]\n  42 -> 46 [size =\"31385600\"]\n  42 -> 47 [size =\"31385600\"]\n  42 -> 49 [size =\"31385600\"]\n  42 -> 50 [size =\"31385600\"]\n  43 [size=\"156067840\", alpha=\"0.04\", expect_size=\"46820352\"] \n  43 -> 46 [size =\"46820352\"]\n  43 -> 47 [size =\"46820352\"]\n  43 -> 48 [size =\"46820352\"]\n  43 -> 50 [size =\"46820352\"]\n  43 -> 50 [size =\"46820352\"]\n  44 [size=\"127607467\", alpha=\"0.18\", expect_size=\"38282240\"] \n  44 -> 45 [size =\"38282240\"]\n  44 -> 47 [size =\"38282240\"]\n  44 -> 48 [size =\"38282240\"]\n  44 -> 49 [size =\"38282240\"]\n  44 -> 50 [size =\"38282240\"]\n  45 [size=\"50462720\", alpha=\"0.19\", expect_size=\"15138816\"] \n  46 [size=\"94955520\", alpha=\"0.02\", expect_size=\"28486656\"] \n  47 [size=\"70202027\", alpha=\"0.00\", expect_size=\"21060608\"] \n  48 [size=\"165918720\", alpha=\"0.06\", expect_size=\"49775616\"] \n  49 [size=\"171595093\", alpha=\"0.01\", expect_size=\"51478528\"] \n  50 [size=\"121395200\", alpha=\"0.06\", expect_size=\"36418560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.470.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31372800\", alpha=\"0.16\", expect_size=\"12549120\"] \n  1 -> 32 [size =\"12549120\"]\n  1 -> 33 [size =\"12549120\"]\n  1 -> 34 [size =\"12549120\"]\n  1 -> 37 [size =\"12549120\"]\n  1 -> 38 [size =\"12549120\"]\n  1 -> 39 [size =\"12549120\"]\n  1 -> 40 [size =\"12549120\"]\n  1 -> 43 [size =\"12549120\"]\n  1 -> 48 [size =\"12549120\"]\n  2 [size=\"112806400\", alpha=\"0.18\", expect_size=\"45122560\"] \n  2 -> 32 [size =\"45122560\"]\n  2 -> 37 [size =\"45122560\"]\n  2 -> 38 [size =\"45122560\"]\n  2 -> 41 [size =\"45122560\"]\n  2 -> 43 [size =\"45122560\"]\n  2 -> 45 [size =\"45122560\"]\n  2 -> 46 [size =\"45122560\"]\n  2 -> 47 [size =\"45122560\"]\n  2 -> 48 [size =\"45122560\"]\n  3 [size=\"91343360\", alpha=\"0.19\", expect_size=\"36537344\"] \n  3 -> 38 [size =\"36537344\"]\n  3 -> 41 [size =\"36537344\"]\n  3 -> 44 [size =\"36537344\"]\n  3 -> 45 [size =\"36537344\"]\n  3 -> 48 [size =\"36537344\"]\n  4 [size=\"20794880\", alpha=\"0.15\", expect_size=\"8317952\"] \n  4 -> 32 [size =\"8317952\"]\n  4 -> 33 [size =\"8317952\"]\n  4 -> 35 [size =\"8317952\"]\n  4 -> 38 [size =\"8317952\"]\n  4 -> 42 [size =\"8317952\"]\n  4 -> 43 [size =\"8317952\"]\n  4 -> 44 [size =\"8317952\"]\n  4 -> 45 [size =\"8317952\"]\n  4 -> 48 [size =\"8317952\"]\n  5 [size=\"115008000\", alpha=\"0.15\", expect_size=\"46003200\"] \n  5 -> 31 [size =\"46003200\"]\n  5 -> 33 [size =\"46003200\"]\n  5 -> 38 [size =\"46003200\"]\n  5 -> 43 [size =\"46003200\"]\n  5 -> 44 [size =\"46003200\"]\n  5 -> 45 [size =\"46003200\"]\n  5 -> 46 [size =\"46003200\"]\n  5 -> 48 [size =\"46003200\"]\n  5 -> 48 [size =\"46003200\"]\n  6 [size=\"123804160\", alpha=\"0.19\", expect_size=\"49521664\"] \n  6 -> 31 [size =\"49521664\"]\n  6 -> 33 [size =\"49521664\"]\n  6 -> 35 [size =\"49521664\"]\n  6 -> 38 [size =\"49521664\"]\n  6 -> 40 [size =\"49521664\"]\n  6 -> 41 [size =\"49521664\"]\n  6 -> 42 [size =\"49521664\"]\n  6 -> 43 [size =\"49521664\"]\n  6 -> 44 [size =\"49521664\"]\n  6 -> 45 [size =\"49521664\"]\n  6 -> 46 [size =\"49521664\"]\n  6 -> 48 [size =\"49521664\"]\n  7 [size=\"115965440\", alpha=\"0.01\", expect_size=\"46386176\"] \n  7 -> 31 [size =\"46386176\"]\n  7 -> 32 [size =\"46386176\"]\n  7 -> 33 [size =\"46386176\"]\n  7 -> 35 [size =\"46386176\"]\n  7 -> 38 [size =\"46386176\"]\n  7 -> 41 [size =\"46386176\"]\n  7 -> 43 [size =\"46386176\"]\n  7 -> 44 [size =\"46386176\"]\n  7 -> 45 [size =\"46386176\"]\n  7 -> 46 [size =\"46386176\"]\n  7 -> 48 [size =\"46386176\"]\n  7 -> 48 [size =\"46386176\"]\n  8 [size=\"118323200\", alpha=\"0.08\", expect_size=\"47329280\"] \n  8 -> 32 [size =\"47329280\"]\n  8 -> 33 [size =\"47329280\"]\n  8 -> 33 [size =\"47329280\"]\n  8 -> 35 [size =\"47329280\"]\n  8 -> 38 [size =\"47329280\"]\n  8 -> 41 [size =\"47329280\"]\n  8 -> 43 [size =\"47329280\"]\n  8 -> 44 [size =\"47329280\"]\n  8 -> 48 [size =\"47329280\"]\n  9 [size=\"17899520\", alpha=\"0.02\", expect_size=\"7159808\"] \n  9 -> 31 [size =\"7159808\"]\n  9 -> 32 [size =\"7159808\"]\n  9 -> 33 [size =\"7159808\"]\n  9 -> 35 [size =\"7159808\"]\n  9 -> 37 [size =\"7159808\"]\n  9 -> 38 [size =\"7159808\"]\n  9 -> 40 [size =\"7159808\"]\n  9 -> 42 [size =\"7159808\"]\n  9 -> 43 [size =\"7159808\"]\n  9 -> 44 [size =\"7159808\"]\n  9 -> 45 [size =\"7159808\"]\n  9 -> 46 [size =\"7159808\"]\n  9 -> 48 [size =\"7159808\"]\n  10 [size=\"63708160\", alpha=\"0.06\", expect_size=\"25483264\"] \n  10 -> 31 [size =\"25483264\"]\n  10 -> 32 [size =\"25483264\"]\n  10 -> 33 [size =\"25483264\"]\n  10 -> 34 [size =\"25483264\"]\n  10 -> 35 [size =\"25483264\"]\n  10 -> 37 [size =\"25483264\"]\n  10 -> 38 [size =\"25483264\"]\n  10 -> 39 [size =\"25483264\"]\n  10 -> 43 [size =\"25483264\"]\n  10 -> 44 [size =\"25483264\"]\n  10 -> 45 [size =\"25483264\"]\n  11 [size=\"124372480\", alpha=\"0.18\", expect_size=\"49748992\"] \n  11 -> 32 [size =\"49748992\"]\n  11 -> 33 [size =\"49748992\"]\n  11 -> 33 [size =\"49748992\"]\n  11 -> 34 [size =\"49748992\"]\n  11 -> 37 [size =\"49748992\"]\n  11 -> 37 [size =\"49748992\"]\n  11 -> 38 [size =\"49748992\"]\n  11 -> 43 [size =\"49748992\"]\n  11 -> 43 [size =\"49748992\"]\n  11 -> 44 [size =\"49748992\"]\n  11 -> 45 [size =\"49748992\"]\n  11 -> 46 [size =\"49748992\"]\n  11 -> 47 [size =\"49748992\"]\n  11 -> 48 [size =\"49748992\"]\n  12 [size=\"98165760\", alpha=\"0.14\", expect_size=\"39266304\"] \n  12 -> 33 [size =\"39266304\"]\n  12 -> 37 [size =\"39266304\"]\n  12 -> 38 [size =\"39266304\"]\n  12 -> 44 [size =\"39266304\"]\n  12 -> 45 [size =\"39266304\"]\n  12 -> 46 [size =\"39266304\"]\n  12 -> 48 [size =\"39266304\"]\n  12 -> 50 [size =\"39266304\"]\n  13 [size=\"88268800\", alpha=\"0.11\", expect_size=\"35307520\"] \n  13 -> 32 [size =\"35307520\"]\n  13 -> 34 [size =\"35307520\"]\n  13 -> 38 [size =\"35307520\"]\n  13 -> 41 [size =\"35307520\"]\n  13 -> 42 [size =\"35307520\"]\n  13 -> 43 [size =\"35307520\"]\n  14 [size=\"80506880\", alpha=\"0.08\", expect_size=\"32202752\"] \n  14 -> 31 [size =\"32202752\"]\n  14 -> 32 [size =\"32202752\"]\n  14 -> 33 [size =\"32202752\"]\n  14 -> 38 [size =\"32202752\"]\n  14 -> 39 [size =\"32202752\"]\n  14 -> 40 [size =\"32202752\"]\n  14 -> 41 [size =\"32202752\"]\n  14 -> 42 [size =\"32202752\"]\n  14 -> 43 [size =\"32202752\"]\n  14 -> 45 [size =\"32202752\"]\n  15 [size=\"49873920\", alpha=\"0.18\", expect_size=\"19949568\"] \n  15 -> 31 [size =\"19949568\"]\n  15 -> 33 [size =\"19949568\"]\n  15 -> 35 [size =\"19949568\"]\n  15 -> 38 [size =\"19949568\"]\n  15 -> 41 [size =\"19949568\"]\n  15 -> 42 [size =\"19949568\"]\n  15 -> 43 [size =\"19949568\"]\n  15 -> 44 [size =\"19949568\"]\n  15 -> 46 [size =\"19949568\"]\n  15 -> 48 [size =\"19949568\"]\n  16 [size=\"19284480\", alpha=\"0.04\", expect_size=\"7713792\"] \n  16 -> 31 [size =\"7713792\"]\n  16 -> 33 [size =\"7713792\"]\n  16 -> 34 [size =\"7713792\"]\n  16 -> 35 [size =\"7713792\"]\n  16 -> 37 [size =\"7713792\"]\n  16 -> 38 [size =\"7713792\"]\n  16 -> 41 [size =\"7713792\"]\n  16 -> 42 [size =\"7713792\"]\n  16 -> 43 [size =\"7713792\"]\n  16 -> 44 [size =\"7713792\"]\n  16 -> 45 [size =\"7713792\"]\n  16 -> 46 [size =\"7713792\"]\n  16 -> 48 [size =\"7713792\"]\n  17 [size=\"13135360\", alpha=\"0.05\", expect_size=\"5254144\"] \n  17 -> 31 [size =\"5254144\"]\n  17 -> 32 [size =\"5254144\"]\n  17 -> 33 [size =\"5254144\"]\n  17 -> 38 [size =\"5254144\"]\n  17 -> 42 [size =\"5254144\"]\n  17 -> 43 [size =\"5254144\"]\n  17 -> 45 [size =\"5254144\"]\n  17 -> 46 [size =\"5254144\"]\n  18 [size=\"20175360\", alpha=\"0.13\", expect_size=\"8070144\"] \n  18 -> 31 [size =\"8070144\"]\n  18 -> 32 [size =\"8070144\"]\n  18 -> 33 [size =\"8070144\"]\n  18 -> 35 [size =\"8070144\"]\n  18 -> 38 [size =\"8070144\"]\n  18 -> 40 [size =\"8070144\"]\n  18 -> 41 [size =\"8070144\"]\n  18 -> 43 [size =\"8070144\"]\n  18 -> 46 [size =\"8070144\"]\n  18 -> 48 [size =\"8070144\"]\n  19 [size=\"68564480\", alpha=\"0.19\", expect_size=\"27425792\"] \n  19 -> 32 [size =\"27425792\"]\n  19 -> 32 [size =\"27425792\"]\n  19 -> 33 [size =\"27425792\"]\n  19 -> 35 [size =\"27425792\"]\n  19 -> 38 [size =\"27425792\"]\n  19 -> 42 [size =\"27425792\"]\n  19 -> 43 [size =\"27425792\"]\n  19 -> 43 [size =\"27425792\"]\n  19 -> 45 [size =\"27425792\"]\n  19 -> 46 [size =\"27425792\"]\n  19 -> 48 [size =\"27425792\"]\n  20 [size=\"83217920\", alpha=\"0.10\", expect_size=\"33287168\"] \n  20 -> 31 [size =\"33287168\"]\n  20 -> 32 [size =\"33287168\"]\n  20 -> 33 [size =\"33287168\"]\n  20 -> 35 [size =\"33287168\"]\n  20 -> 38 [size =\"33287168\"]\n  20 -> 41 [size =\"33287168\"]\n  20 -> 42 [size =\"33287168\"]\n  20 -> 43 [size =\"33287168\"]\n  20 -> 44 [size =\"33287168\"]\n  20 -> 45 [size =\"33287168\"]\n  20 -> 48 [size =\"33287168\"]\n  21 [size=\"119672320\", alpha=\"0.04\", expect_size=\"47868928\"] \n  21 -> 32 [size =\"47868928\"]\n  21 -> 33 [size =\"47868928\"]\n  21 -> 33 [size =\"47868928\"]\n  21 -> 34 [size =\"47868928\"]\n  21 -> 35 [size =\"47868928\"]\n  21 -> 36 [size =\"47868928\"]\n  21 -> 38 [size =\"47868928\"]\n  21 -> 41 [size =\"47868928\"]\n  21 -> 42 [size =\"47868928\"]\n  21 -> 44 [size =\"47868928\"]\n  21 -> 45 [size =\"47868928\"]\n  21 -> 47 [size =\"47868928\"]\n  22 [size=\"108544000\", alpha=\"0.14\", expect_size=\"43417600\"] \n  22 -> 31 [size =\"43417600\"]\n  22 -> 33 [size =\"43417600\"]\n  22 -> 35 [size =\"43417600\"]\n  22 -> 37 [size =\"43417600\"]\n  22 -> 38 [size =\"43417600\"]\n  22 -> 40 [size =\"43417600\"]\n  22 -> 42 [size =\"43417600\"]\n  22 -> 44 [size =\"43417600\"]\n  23 [size=\"71902720\", alpha=\"0.18\", expect_size=\"28761088\"] \n  23 -> 35 [size =\"28761088\"]\n  23 -> 37 [size =\"28761088\"]\n  23 -> 38 [size =\"28761088\"]\n  23 -> 40 [size =\"28761088\"]\n  23 -> 41 [size =\"28761088\"]\n  23 -> 42 [size =\"28761088\"]\n  23 -> 42 [size =\"28761088\"]\n  23 -> 43 [size =\"28761088\"]\n  23 -> 44 [size =\"28761088\"]\n  23 -> 45 [size =\"28761088\"]\n  23 -> 48 [size =\"28761088\"]\n  24 [size=\"20697600\", alpha=\"0.03\", expect_size=\"8279040\"] \n  24 -> 31 [size =\"8279040\"]\n  24 -> 32 [size =\"8279040\"]\n  24 -> 35 [size =\"8279040\"]\n  24 -> 38 [size =\"8279040\"]\n  24 -> 39 [size =\"8279040\"]\n  24 -> 40 [size =\"8279040\"]\n  24 -> 42 [size =\"8279040\"]\n  24 -> 43 [size =\"8279040\"]\n  24 -> 44 [size =\"8279040\"]\n  24 -> 45 [size =\"8279040\"]\n  24 -> 46 [size =\"8279040\"]\n  25 [size=\"68858880\", alpha=\"0.06\", expect_size=\"27543552\"] \n  25 -> 31 [size =\"27543552\"]\n  25 -> 32 [size =\"27543552\"]\n  25 -> 35 [size =\"27543552\"]\n  25 -> 39 [size =\"27543552\"]\n  25 -> 42 [size =\"27543552\"]\n  25 -> 43 [size =\"27543552\"]\n  25 -> 44 [size =\"27543552\"]\n  25 -> 45 [size =\"27543552\"]\n  25 -> 46 [size =\"27543552\"]\n  25 -> 50 [size =\"27543552\"]\n  26 [size=\"55114240\", alpha=\"0.07\", expect_size=\"22045696\"] \n  26 -> 35 [size =\"22045696\"]\n  26 -> 40 [size =\"22045696\"]\n  26 -> 42 [size =\"22045696\"]\n  26 -> 43 [size =\"22045696\"]\n  26 -> 44 [size =\"22045696\"]\n  26 -> 45 [size =\"22045696\"]\n  26 -> 46 [size =\"22045696\"]\n  26 -> 48 [size =\"22045696\"]\n  27 [size=\"75980800\", alpha=\"0.06\", expect_size=\"30392320\"] \n  27 -> 32 [size =\"30392320\"]\n  27 -> 34 [size =\"30392320\"]\n  27 -> 37 [size =\"30392320\"]\n  27 -> 38 [size =\"30392320\"]\n  27 -> 48 [size =\"30392320\"]\n  27 -> 49 [size =\"30392320\"]\n  28 [size=\"106583040\", alpha=\"0.02\", expect_size=\"42633216\"] \n  28 -> 41 [size =\"42633216\"]\n  28 -> 43 [size =\"42633216\"]\n  28 -> 44 [size =\"42633216\"]\n  28 -> 45 [size =\"42633216\"]\n  28 -> 46 [size =\"42633216\"]\n  29 [size=\"64056320\", alpha=\"0.19\", expect_size=\"25622528\"] \n  29 -> 32 [size =\"25622528\"]\n  29 -> 35 [size =\"25622528\"]\n  29 -> 38 [size =\"25622528\"]\n  29 -> 42 [size =\"25622528\"]\n  29 -> 43 [size =\"25622528\"]\n  29 -> 44 [size =\"25622528\"]\n  29 -> 45 [size =\"25622528\"]\n  29 -> 48 [size =\"25622528\"]\n  30 [size=\"60359680\", alpha=\"0.05\", expect_size=\"24143872\"] \n  30 -> 32 [size =\"24143872\"]\n  30 -> 34 [size =\"24143872\"]\n  30 -> 43 [size =\"24143872\"]\n  30 -> 45 [size =\"24143872\"]\n  30 -> 48 [size =\"24143872\"]\n  31 [size=\"119139840\", alpha=\"0.10\", expect_size=\"47655936\"] \n  32 [size=\"22737920\", alpha=\"0.09\", expect_size=\"9095168\"] \n  33 [size=\"106780160\", alpha=\"0.01\", expect_size=\"42712064\"] \n  34 [size=\"95613440\", alpha=\"0.04\", expect_size=\"38245376\"] \n  35 [size=\"114887680\", alpha=\"0.14\", expect_size=\"45955072\"] \n  36 [size=\"30576640\", alpha=\"0.05\", expect_size=\"12230656\"] \n  37 [size=\"71347200\", alpha=\"0.15\", expect_size=\"28538880\"] \n  38 [size=\"104125440\", alpha=\"0.07\", expect_size=\"41650176\"] \n  39 [size=\"116165120\", alpha=\"0.08\", expect_size=\"46466048\"] \n  40 [size=\"112258560\", alpha=\"0.01\", expect_size=\"44903424\"] \n  41 [size=\"25044480\", alpha=\"0.12\", expect_size=\"10017792\"] \n  42 [size=\"83752960\", alpha=\"0.20\", expect_size=\"33501184\"] \n  43 [size=\"19553280\", alpha=\"0.17\", expect_size=\"7821312\"] \n  44 [size=\"25569280\", alpha=\"0.16\", expect_size=\"10227712\"] \n  45 [size=\"51243520\", alpha=\"0.04\", expect_size=\"20497408\"] \n  46 [size=\"15377920\", alpha=\"0.19\", expect_size=\"6151168\"] \n  47 [size=\"42114560\", alpha=\"0.05\", expect_size=\"16845824\"] \n  48 [size=\"13516800\", alpha=\"0.07\", expect_size=\"5406720\"] \n  49 [size=\"54622720\", alpha=\"0.17\", expect_size=\"21849088\"] \n  50 [size=\"102922240\", alpha=\"0.15\", expect_size=\"41168896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.471.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93642752\", alpha=\"0.19\", expect_size=\"46821376\"] \n  1 -> 12 [size =\"46821376\"]\n  1 -> 13 [size =\"46821376\"]\n  2 [size=\"30103552\", alpha=\"0.19\", expect_size=\"15051776\"] \n  2 -> 8 [size =\"15051776\"]\n  2 -> 12 [size =\"15051776\"]\n  3 [size=\"88281088\", alpha=\"0.19\", expect_size=\"44140544\"] \n  4 [size=\"56573952\", alpha=\"0.02\", expect_size=\"28286976\"] \n  4 -> 11 [size =\"28286976\"]\n  4 -> 12 [size =\"28286976\"]\n  5 [size=\"24913920\", alpha=\"0.07\", expect_size=\"12456960\"] \n  5 -> 12 [size =\"12456960\"]\n  5 -> 13 [size =\"12456960\"]\n  6 [size=\"92233728\", alpha=\"0.06\", expect_size=\"46116864\"] \n  6 -> 13 [size =\"46116864\"]\n  7 [size=\"45174784\", alpha=\"0.20\", expect_size=\"22587392\"] \n  7 -> 8 [size =\"22587392\"]\n  7 -> 9 [size =\"22587392\"]\n  7 -> 10 [size =\"22587392\"]\n  7 -> 13 [size =\"22587392\"]\n  8 [size=\"26523648\", alpha=\"0.12\", expect_size=\"13261824\"] \n  8 -> 14 [size =\"13261824\"]\n  8 -> 16 [size =\"13261824\"]\n  8 -> 17 [size =\"13261824\"]\n  8 -> 18 [size =\"13261824\"]\n  8 -> 20 [size =\"13261824\"]\n  9 [size=\"41996288\", alpha=\"0.20\", expect_size=\"20998144\"] \n  9 -> 14 [size =\"20998144\"]\n  9 -> 17 [size =\"20998144\"]\n  9 -> 20 [size =\"20998144\"]\n  10 [size=\"43030528\", alpha=\"0.14\", expect_size=\"21515264\"] \n  10 -> 14 [size =\"21515264\"]\n  10 -> 19 [size =\"21515264\"]\n  11 [size=\"98967552\", alpha=\"0.18\", expect_size=\"49483776\"] \n  11 -> 14 [size =\"49483776\"]\n  11 -> 19 [size =\"49483776\"]\n  12 [size=\"95961088\", alpha=\"0.07\", expect_size=\"47980544\"] \n  12 -> 18 [size =\"47980544\"]\n  12 -> 20 [size =\"47980544\"]\n  13 [size=\"90576896\", alpha=\"0.13\", expect_size=\"45288448\"] \n  13 -> 15 [size =\"45288448\"]\n  13 -> 16 [size =\"45288448\"]\n  13 -> 17 [size =\"45288448\"]\n  13 -> 20 [size =\"45288448\"]\n  14 [size=\"86999040\", alpha=\"0.15\", expect_size=\"43499520\"] \n  14 -> 22 [size =\"43499520\"]\n  14 -> 23 [size =\"43499520\"]\n  14 -> 26 [size =\"43499520\"]\n  15 [size=\"95451136\", alpha=\"0.01\", expect_size=\"47725568\"] \n  15 -> 22 [size =\"47725568\"]\n  15 -> 23 [size =\"47725568\"]\n  15 -> 24 [size =\"47725568\"]\n  16 [size=\"35479552\", alpha=\"0.16\", expect_size=\"17739776\"] \n  16 -> 21 [size =\"17739776\"]\n  16 -> 23 [size =\"17739776\"]\n  17 [size=\"65699840\", alpha=\"0.18\", expect_size=\"32849920\"] \n  17 -> 21 [size =\"32849920\"]\n  17 -> 23 [size =\"32849920\"]\n  18 [size=\"64387072\", alpha=\"0.18\", expect_size=\"32193536\"] \n  18 -> 24 [size =\"32193536\"]\n  18 -> 25 [size =\"32193536\"]\n  18 -> 26 [size =\"32193536\"]\n  19 [size=\"26931200\", alpha=\"0.15\", expect_size=\"13465600\"] \n  19 -> 21 [size =\"13465600\"]\n  19 -> 22 [size =\"13465600\"]\n  19 -> 24 [size =\"13465600\"]\n  19 -> 26 [size =\"13465600\"]\n  20 [size=\"24909824\", alpha=\"0.17\", expect_size=\"12454912\"] \n  20 -> 22 [size =\"12454912\"]\n  20 -> 22 [size =\"12454912\"]\n  20 -> 26 [size =\"12454912\"]\n  21 [size=\"91394048\", alpha=\"0.16\", expect_size=\"45697024\"] \n  21 -> 29 [size =\"45697024\"]\n  22 [size=\"83599360\", alpha=\"0.19\", expect_size=\"41799680\"] \n  23 [size=\"23400448\", alpha=\"0.18\", expect_size=\"11700224\"] \n  23 -> 27 [size =\"11700224\"]\n  23 -> 30 [size =\"11700224\"]\n  23 -> 32 [size =\"11700224\"]\n  24 [size=\"86851584\", alpha=\"0.08\", expect_size=\"43425792\"] \n  24 -> 27 [size =\"43425792\"]\n  24 -> 28 [size =\"43425792\"]\n  24 -> 29 [size =\"43425792\"]\n  24 -> 30 [size =\"43425792\"]\n  24 -> 31 [size =\"43425792\"]\n  25 [size=\"61790208\", alpha=\"0.00\", expect_size=\"30895104\"] \n  25 -> 28 [size =\"30895104\"]\n  25 -> 32 [size =\"30895104\"]\n  26 [size=\"64505856\", alpha=\"0.10\", expect_size=\"32252928\"] \n  26 -> 28 [size =\"32252928\"]\n  26 -> 29 [size =\"32252928\"]\n  26 -> 30 [size =\"32252928\"]\n  27 [size=\"47607808\", alpha=\"0.08\", expect_size=\"23803904\"] \n  27 -> 33 [size =\"23803904\"]\n  27 -> 37 [size =\"23803904\"]\n  27 -> 38 [size =\"23803904\"]\n  28 [size=\"40448000\", alpha=\"0.08\", expect_size=\"20224000\"] \n  28 -> 33 [size =\"20224000\"]\n  28 -> 36 [size =\"20224000\"]\n  29 [size=\"31756288\", alpha=\"0.15\", expect_size=\"15878144\"] \n  29 -> 33 [size =\"15878144\"]\n  29 -> 36 [size =\"15878144\"]\n  30 [size=\"102952960\", alpha=\"0.10\", expect_size=\"51476480\"] \n  30 -> 38 [size =\"51476480\"]\n  31 [size=\"86542336\", alpha=\"0.03\", expect_size=\"43271168\"] \n  31 -> 34 [size =\"43271168\"]\n  31 -> 35 [size =\"43271168\"]\n  31 -> 37 [size =\"43271168\"]\n  31 -> 38 [size =\"43271168\"]\n  32 [size=\"65683456\", alpha=\"0.14\", expect_size=\"32841728\"] \n  32 -> 38 [size =\"32841728\"]\n  33 [size=\"59998208\", alpha=\"0.02\", expect_size=\"29999104\"] \n  33 -> 41 [size =\"29999104\"]\n  33 -> 43 [size =\"29999104\"]\n  34 [size=\"52908032\", alpha=\"0.06\", expect_size=\"26454016\"] \n  34 -> 39 [size =\"26454016\"]\n  34 -> 45 [size =\"26454016\"]\n  35 [size=\"90503168\", alpha=\"0.08\", expect_size=\"45251584\"] \n  35 -> 40 [size =\"45251584\"]\n  35 -> 42 [size =\"45251584\"]\n  35 -> 43 [size =\"45251584\"]\n  35 -> 44 [size =\"45251584\"]\n  35 -> 45 [size =\"45251584\"]\n  36 [size=\"92841984\", alpha=\"0.16\", expect_size=\"46420992\"] \n  36 -> 40 [size =\"46420992\"]\n  36 -> 42 [size =\"46420992\"]\n  36 -> 44 [size =\"46420992\"]\n  37 [size=\"47302656\", alpha=\"0.15\", expect_size=\"23651328\"] \n  37 -> 40 [size =\"23651328\"]\n  37 -> 41 [size =\"23651328\"]\n  37 -> 43 [size =\"23651328\"]\n  38 [size=\"82946048\", alpha=\"0.06\", expect_size=\"41473024\"] \n  38 -> 39 [size =\"41473024\"]\n  38 -> 40 [size =\"41473024\"]\n  38 -> 41 [size =\"41473024\"]\n  38 -> 43 [size =\"41473024\"]\n  39 [size=\"27068416\", alpha=\"0.20\", expect_size=\"13534208\"] \n  39 -> 47 [size =\"13534208\"]\n  40 [size=\"99926016\", alpha=\"0.17\", expect_size=\"49963008\"] \n  40 -> 47 [size =\"49963008\"]\n  40 -> 48 [size =\"49963008\"]\n  40 -> 49 [size =\"49963008\"]\n  40 -> 50 [size =\"49963008\"]\n  41 [size=\"50948096\", alpha=\"0.11\", expect_size=\"25474048\"] \n  41 -> 48 [size =\"25474048\"]\n  42 [size=\"62988288\", alpha=\"0.01\", expect_size=\"31494144\"] \n  42 -> 46 [size =\"31494144\"]\n  42 -> 47 [size =\"31494144\"]\n  42 -> 50 [size =\"31494144\"]\n  43 [size=\"32782336\", alpha=\"0.14\", expect_size=\"16391168\"] \n  43 -> 47 [size =\"16391168\"]\n  43 -> 50 [size =\"16391168\"]\n  44 [size=\"40419328\", alpha=\"0.02\", expect_size=\"20209664\"] \n  44 -> 47 [size =\"20209664\"]\n  44 -> 50 [size =\"20209664\"]\n  45 [size=\"68044800\", alpha=\"0.02\", expect_size=\"34022400\"] \n  46 [size=\"11878400\", alpha=\"0.13\", expect_size=\"5939200\"] \n  47 [size=\"85659648\", alpha=\"0.12\", expect_size=\"42829824\"] \n  48 [size=\"61487104\", alpha=\"0.17\", expect_size=\"30743552\"] \n  49 [size=\"87635968\", alpha=\"0.07\", expect_size=\"43817984\"] \n  50 [size=\"86181888\", alpha=\"0.17\", expect_size=\"43090944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.472.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127997440\", alpha=\"0.08\", expect_size=\"51198976\"] \n  1 -> 45 [size =\"51198976\"]\n  1 -> 47 [size =\"51198976\"]\n  2 [size=\"92582400\", alpha=\"0.14\", expect_size=\"37032960\"] \n  2 -> 50 [size =\"37032960\"]\n  3 [size=\"13127680\", alpha=\"0.10\", expect_size=\"5251072\"] \n  4 [size=\"17943040\", alpha=\"0.01\", expect_size=\"7177216\"] \n  5 [size=\"50657280\", alpha=\"0.07\", expect_size=\"20262912\"] \n  6 [size=\"75545600\", alpha=\"0.18\", expect_size=\"30218240\"] \n  6 -> 45 [size =\"30218240\"]\n  6 -> 46 [size =\"30218240\"]\n  6 -> 47 [size =\"30218240\"]\n  7 [size=\"108874240\", alpha=\"0.06\", expect_size=\"43549696\"] \n  7 -> 46 [size =\"43549696\"]\n  8 [size=\"27827200\", alpha=\"0.06\", expect_size=\"11130880\"] \n  8 -> 46 [size =\"11130880\"]\n  8 -> 47 [size =\"11130880\"]\n  9 [size=\"108157440\", alpha=\"0.04\", expect_size=\"43262976\"] \n  10 [size=\"50731520\", alpha=\"0.00\", expect_size=\"20292608\"] \n  10 -> 47 [size =\"20292608\"]\n  11 [size=\"108904960\", alpha=\"0.11\", expect_size=\"43561984\"] \n  11 -> 50 [size =\"43561984\"]\n  12 [size=\"36065280\", alpha=\"0.10\", expect_size=\"14426112\"] \n  12 -> 46 [size =\"14426112\"]\n  12 -> 50 [size =\"14426112\"]\n  13 [size=\"117096960\", alpha=\"0.08\", expect_size=\"46838784\"] \n  13 -> 46 [size =\"46838784\"]\n  14 [size=\"57159680\", alpha=\"0.03\", expect_size=\"22863872\"] \n  14 -> 45 [size =\"22863872\"]\n  14 -> 47 [size =\"22863872\"]\n  15 [size=\"63326720\", alpha=\"0.18\", expect_size=\"25330688\"] \n  16 [size=\"102517760\", alpha=\"0.07\", expect_size=\"41007104\"] \n  16 -> 46 [size =\"41007104\"]\n  17 [size=\"93276160\", alpha=\"0.05\", expect_size=\"37310464\"] \n  17 -> 45 [size =\"37310464\"]\n  18 [size=\"126364160\", alpha=\"0.01\", expect_size=\"50545664\"] \n  18 -> 45 [size =\"50545664\"]\n  19 [size=\"42785280\", alpha=\"0.11\", expect_size=\"17114112\"] \n  20 [size=\"64821760\", alpha=\"0.06\", expect_size=\"25928704\"] \n  20 -> 49 [size =\"25928704\"]\n  21 [size=\"67683840\", alpha=\"0.00\", expect_size=\"27073536\"] \n  21 -> 47 [size =\"27073536\"]\n  21 -> 49 [size =\"27073536\"]\n  21 -> 50 [size =\"27073536\"]\n  22 [size=\"13959680\", alpha=\"0.08\", expect_size=\"5583872\"] \n  22 -> 49 [size =\"5583872\"]\n  23 [size=\"72742400\", alpha=\"0.16\", expect_size=\"29096960\"] \n  23 -> 46 [size =\"29096960\"]\n  23 -> 50 [size =\"29096960\"]\n  24 [size=\"118481920\", alpha=\"0.05\", expect_size=\"47392768\"] \n  24 -> 46 [size =\"47392768\"]\n  25 [size=\"17507840\", alpha=\"0.20\", expect_size=\"7003136\"] \n  25 -> 46 [size =\"7003136\"]\n  26 [size=\"121853440\", alpha=\"0.06\", expect_size=\"48741376\"] \n  27 [size=\"44794880\", alpha=\"0.07\", expect_size=\"17917952\"] \n  27 -> 48 [size =\"17917952\"]\n  28 [size=\"76211200\", alpha=\"0.12\", expect_size=\"30484480\"] \n  28 -> 46 [size =\"30484480\"]\n  29 [size=\"80709120\", alpha=\"0.12\", expect_size=\"32283648\"] \n  30 [size=\"28462080\", alpha=\"0.19\", expect_size=\"11384832\"] \n  30 -> 46 [size =\"11384832\"]\n  30 -> 49 [size =\"11384832\"]\n  31 [size=\"64181760\", alpha=\"0.02\", expect_size=\"25672704\"] \n  32 [size=\"66823680\", alpha=\"0.09\", expect_size=\"26729472\"] \n  33 [size=\"115870720\", alpha=\"0.14\", expect_size=\"46348288\"] \n  34 [size=\"93373440\", alpha=\"0.06\", expect_size=\"37349376\"] \n  35 [size=\"122135040\", alpha=\"0.07\", expect_size=\"48854016\"] \n  36 [size=\"121740800\", alpha=\"0.02\", expect_size=\"48696320\"] \n  37 [size=\"36669440\", alpha=\"0.12\", expect_size=\"14667776\"] \n  37 -> 47 [size =\"14667776\"]\n  38 [size=\"80652800\", alpha=\"0.00\", expect_size=\"32261120\"] \n  38 -> 46 [size =\"32261120\"]\n  39 [size=\"32483840\", alpha=\"0.14\", expect_size=\"12993536\"] \n  39 -> 46 [size =\"12993536\"]\n  40 [size=\"105177600\", alpha=\"0.16\", expect_size=\"42071040\"] \n  40 -> 46 [size =\"42071040\"]\n  41 [size=\"100431360\", alpha=\"0.08\", expect_size=\"40172544\"] \n  41 -> 46 [size =\"40172544\"]\n  41 -> 47 [size =\"40172544\"]\n  42 [size=\"114045440\", alpha=\"0.20\", expect_size=\"45618176\"] \n  42 -> 46 [size =\"45618176\"]\n  43 [size=\"51018240\", alpha=\"0.02\", expect_size=\"20407296\"] \n  43 -> 49 [size =\"20407296\"]\n  43 -> 50 [size =\"20407296\"]\n  44 [size=\"15334400\", alpha=\"0.01\", expect_size=\"6133760\"] \n  44 -> 50 [size =\"6133760\"]\n  45 [size=\"51056640\", alpha=\"0.02\", expect_size=\"20422656\"] \n  46 [size=\"90432000\", alpha=\"0.01\", expect_size=\"36172800\"] \n  47 [size=\"104911360\", alpha=\"0.05\", expect_size=\"41964544\"] \n  48 [size=\"56698880\", alpha=\"0.00\", expect_size=\"22679552\"] \n  49 [size=\"59051520\", alpha=\"0.07\", expect_size=\"23620608\"] \n  50 [size=\"23687680\", alpha=\"0.16\", expect_size=\"9475072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.473.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65812480\", alpha=\"0.04\", expect_size=\"26324992\"] \n  1 -> 4 [size =\"26324992\"]\n  2 [size=\"55093760\", alpha=\"0.15\", expect_size=\"22037504\"] \n  2 -> 5 [size =\"22037504\"]\n  2 -> 6 [size =\"22037504\"]\n  3 [size=\"97177600\", alpha=\"0.07\", expect_size=\"38871040\"] \n  4 [size=\"123084800\", alpha=\"0.18\", expect_size=\"49233920\"] \n  4 -> 7 [size =\"49233920\"]\n  4 -> 8 [size =\"49233920\"]\n  5 [size=\"101529600\", alpha=\"0.11\", expect_size=\"40611840\"] \n  6 [size=\"130813440\", alpha=\"0.05\", expect_size=\"52325376\"] \n  7 [size=\"104176640\", alpha=\"0.06\", expect_size=\"41670656\"] \n  7 -> 10 [size =\"41670656\"]\n  7 -> 11 [size =\"41670656\"]\n  8 [size=\"105070080\", alpha=\"0.17\", expect_size=\"42028032\"] \n  8 -> 9 [size =\"42028032\"]\n  9 [size=\"122982400\", alpha=\"0.10\", expect_size=\"49192960\"] \n  9 -> 12 [size =\"49192960\"]\n  10 [size=\"86489600\", alpha=\"0.07\", expect_size=\"34595840\"] \n  11 [size=\"114739200\", alpha=\"0.17\", expect_size=\"45895680\"] \n  11 -> 13 [size =\"45895680\"]\n  12 [size=\"17873920\", alpha=\"0.01\", expect_size=\"7149568\"] \n  12 -> 15 [size =\"7149568\"]\n  12 -> 16 [size =\"7149568\"]\n  13 [size=\"105303040\", alpha=\"0.09\", expect_size=\"42121216\"] \n  13 -> 14 [size =\"42121216\"]\n  14 [size=\"29877760\", alpha=\"0.18\", expect_size=\"11951104\"] \n  14 -> 18 [size =\"11951104\"]\n  15 [size=\"19491840\", alpha=\"0.09\", expect_size=\"7796736\"] \n  15 -> 18 [size =\"7796736\"]\n  15 -> 19 [size =\"7796736\"]\n  16 [size=\"86597120\", alpha=\"0.12\", expect_size=\"34638848\"] \n  16 -> 17 [size =\"34638848\"]\n  17 [size=\"114918400\", alpha=\"0.07\", expect_size=\"45967360\"] \n  17 -> 20 [size =\"45967360\"]\n  18 [size=\"31544320\", alpha=\"0.09\", expect_size=\"12617728\"] \n  18 -> 21 [size =\"12617728\"]\n  19 [size=\"13278720\", alpha=\"0.17\", expect_size=\"5311488\"] \n  19 -> 22 [size =\"5311488\"]\n  20 [size=\"71838720\", alpha=\"0.06\", expect_size=\"28735488\"] \n  20 -> 24 [size =\"28735488\"]\n  21 [size=\"111319040\", alpha=\"0.04\", expect_size=\"44527616\"] \n  21 -> 23 [size =\"44527616\"]\n  21 -> 25 [size =\"44527616\"]\n  22 [size=\"93642240\", alpha=\"0.09\", expect_size=\"37456896\"] \n  22 -> 24 [size =\"37456896\"]\n  23 [size=\"101422080\", alpha=\"0.08\", expect_size=\"40568832\"] \n  24 [size=\"37445120\", alpha=\"0.06\", expect_size=\"14978048\"] \n  25 [size=\"27238400\", alpha=\"0.19\", expect_size=\"10895360\"] \n  25 -> 26 [size =\"10895360\"]\n  25 -> 27 [size =\"10895360\"]\n  26 [size=\"79641600\", alpha=\"0.12\", expect_size=\"31856640\"] \n  26 -> 28 [size =\"31856640\"]\n  26 -> 29 [size =\"31856640\"]\n  27 [size=\"30727680\", alpha=\"0.20\", expect_size=\"12291072\"] \n  28 [size=\"69877760\", alpha=\"0.04\", expect_size=\"27951104\"] \n  28 -> 30 [size =\"27951104\"]\n  29 [size=\"121384960\", alpha=\"0.06\", expect_size=\"48553984\"] \n  29 -> 31 [size =\"48553984\"]\n  30 [size=\"101967360\", alpha=\"0.01\", expect_size=\"40786944\"] \n  30 -> 34 [size =\"40786944\"]\n  31 [size=\"17433600\", alpha=\"0.13\", expect_size=\"6973440\"] \n  31 -> 32 [size =\"6973440\"]\n  31 -> 33 [size =\"6973440\"]\n  32 [size=\"38461440\", alpha=\"0.06\", expect_size=\"15384576\"] \n  32 -> 35 [size =\"15384576\"]\n  32 -> 36 [size =\"15384576\"]\n  33 [size=\"89067520\", alpha=\"0.15\", expect_size=\"35627008\"] \n  34 [size=\"17400320\", alpha=\"0.07\", expect_size=\"6960128\"] \n  34 -> 35 [size =\"6960128\"]\n  34 -> 36 [size =\"6960128\"]\n  35 [size=\"51399680\", alpha=\"0.19\", expect_size=\"20559872\"] \n  35 -> 37 [size =\"20559872\"]\n  35 -> 38 [size =\"20559872\"]\n  36 [size=\"43560960\", alpha=\"0.04\", expect_size=\"17424384\"] \n  37 [size=\"111590400\", alpha=\"0.06\", expect_size=\"44636160\"] \n  37 -> 39 [size =\"44636160\"]\n  37 -> 41 [size =\"44636160\"]\n  38 [size=\"110635520\", alpha=\"0.12\", expect_size=\"44254208\"] \n  38 -> 40 [size =\"44254208\"]\n  39 [size=\"14686720\", alpha=\"0.17\", expect_size=\"5874688\"] \n  39 -> 42 [size =\"5874688\"]\n  39 -> 44 [size =\"5874688\"]\n  40 [size=\"51591680\", alpha=\"0.13\", expect_size=\"20636672\"] \n  40 -> 43 [size =\"20636672\"]\n  40 -> 44 [size =\"20636672\"]\n  41 [size=\"58800640\", alpha=\"0.05\", expect_size=\"23520256\"] \n  41 -> 43 [size =\"23520256\"]\n  42 [size=\"19983360\", alpha=\"0.10\", expect_size=\"7993344\"] \n  43 [size=\"57871360\", alpha=\"0.11\", expect_size=\"23148544\"] \n  43 -> 45 [size =\"23148544\"]\n  43 -> 46 [size =\"23148544\"]\n  44 [size=\"28728320\", alpha=\"0.16\", expect_size=\"11491328\"] \n  45 [size=\"67297280\", alpha=\"0.03\", expect_size=\"26918912\"] \n  45 -> 48 [size =\"26918912\"]\n  45 -> 49 [size =\"26918912\"]\n  46 [size=\"61998080\", alpha=\"0.02\", expect_size=\"24799232\"] \n  46 -> 47 [size =\"24799232\"]\n  47 [size=\"86318080\", alpha=\"0.03\", expect_size=\"34527232\"] \n  47 -> 50 [size =\"34527232\"]\n  48 [size=\"124108800\", alpha=\"0.14\", expect_size=\"49643520\"] \n  49 [size=\"75842560\", alpha=\"0.04\", expect_size=\"30337024\"] \n  49 -> 50 [size =\"30337024\"]\n  50 [size=\"59655680\", alpha=\"0.08\", expect_size=\"23862272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.474.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69804032\", alpha=\"0.11\", expect_size=\"34902016\"] \n  1 -> 2 [size =\"34902016\"]\n  2 [size=\"31512576\", alpha=\"0.15\", expect_size=\"15756288\"] \n  2 -> 3 [size =\"15756288\"]\n  3 [size=\"98672640\", alpha=\"0.01\", expect_size=\"49336320\"] \n  3 -> 4 [size =\"49336320\"]\n  4 [size=\"104351744\", alpha=\"0.05\", expect_size=\"52175872\"] \n  4 -> 5 [size =\"52175872\"]\n  5 [size=\"41246720\", alpha=\"0.13\", expect_size=\"20623360\"] \n  5 -> 6 [size =\"20623360\"]\n  6 [size=\"53714944\", alpha=\"0.02\", expect_size=\"26857472\"] \n  6 -> 7 [size =\"26857472\"]\n  7 [size=\"103712768\", alpha=\"0.15\", expect_size=\"51856384\"] \n  7 -> 8 [size =\"51856384\"]\n  8 [size=\"33646592\", alpha=\"0.02\", expect_size=\"16823296\"] \n  8 -> 9 [size =\"16823296\"]\n  9 [size=\"44820480\", alpha=\"0.05\", expect_size=\"22410240\"] \n  9 -> 10 [size =\"22410240\"]\n  10 [size=\"63358976\", alpha=\"0.09\", expect_size=\"31679488\"] \n  10 -> 11 [size =\"31679488\"]\n  11 [size=\"56762368\", alpha=\"0.15\", expect_size=\"28381184\"] \n  11 -> 12 [size =\"28381184\"]\n  12 [size=\"15683584\", alpha=\"0.04\", expect_size=\"7841792\"] \n  12 -> 13 [size =\"7841792\"]\n  13 [size=\"86687744\", alpha=\"0.15\", expect_size=\"43343872\"] \n  13 -> 14 [size =\"43343872\"]\n  14 [size=\"91410432\", alpha=\"0.18\", expect_size=\"45705216\"] \n  14 -> 15 [size =\"45705216\"]\n  15 [size=\"21147648\", alpha=\"0.05\", expect_size=\"10573824\"] \n  15 -> 16 [size =\"10573824\"]\n  16 [size=\"81930240\", alpha=\"0.19\", expect_size=\"40965120\"] \n  16 -> 17 [size =\"40965120\"]\n  17 [size=\"90255360\", alpha=\"0.07\", expect_size=\"45127680\"] \n  17 -> 18 [size =\"45127680\"]\n  18 [size=\"66926592\", alpha=\"0.00\", expect_size=\"33463296\"] \n  18 -> 19 [size =\"33463296\"]\n  19 [size=\"76754944\", alpha=\"0.13\", expect_size=\"38377472\"] \n  19 -> 20 [size =\"38377472\"]\n  20 [size=\"99241984\", alpha=\"0.17\", expect_size=\"49620992\"] \n  20 -> 21 [size =\"49620992\"]\n  21 [size=\"47974400\", alpha=\"0.13\", expect_size=\"23987200\"] \n  21 -> 22 [size =\"23987200\"]\n  22 [size=\"26687488\", alpha=\"0.14\", expect_size=\"13343744\"] \n  22 -> 23 [size =\"13343744\"]\n  23 [size=\"45502464\", alpha=\"0.14\", expect_size=\"22751232\"] \n  23 -> 24 [size =\"22751232\"]\n  24 [size=\"23537664\", alpha=\"0.13\", expect_size=\"11768832\"] \n  24 -> 25 [size =\"11768832\"]\n  25 [size=\"14839808\", alpha=\"0.19\", expect_size=\"7419904\"] \n  25 -> 26 [size =\"7419904\"]\n  26 [size=\"40030208\", alpha=\"0.14\", expect_size=\"20015104\"] \n  26 -> 27 [size =\"20015104\"]\n  27 [size=\"36614144\", alpha=\"0.09\", expect_size=\"18307072\"] \n  27 -> 28 [size =\"18307072\"]\n  28 [size=\"71174144\", alpha=\"0.09\", expect_size=\"35587072\"] \n  28 -> 29 [size =\"35587072\"]\n  29 [size=\"71647232\", alpha=\"0.16\", expect_size=\"35823616\"] \n  29 -> 30 [size =\"35823616\"]\n  30 [size=\"37761024\", alpha=\"0.14\", expect_size=\"18880512\"] \n  30 -> 31 [size =\"18880512\"]\n  31 [size=\"22122496\", alpha=\"0.03\", expect_size=\"11061248\"] \n  31 -> 32 [size =\"11061248\"]\n  32 [size=\"84051968\", alpha=\"0.12\", expect_size=\"42025984\"] \n  32 -> 33 [size =\"42025984\"]\n  33 [size=\"55832576\", alpha=\"0.17\", expect_size=\"27916288\"] \n  33 -> 34 [size =\"27916288\"]\n  34 [size=\"25655296\", alpha=\"0.20\", expect_size=\"12827648\"] \n  34 -> 35 [size =\"12827648\"]\n  35 [size=\"87384064\", alpha=\"0.04\", expect_size=\"43692032\"] \n  35 -> 36 [size =\"43692032\"]\n  36 [size=\"83040256\", alpha=\"0.04\", expect_size=\"41520128\"] \n  36 -> 37 [size =\"41520128\"]\n  37 [size=\"55851008\", alpha=\"0.01\", expect_size=\"27925504\"] \n  37 -> 38 [size =\"27925504\"]\n  38 [size=\"99045376\", alpha=\"0.10\", expect_size=\"49522688\"] \n  38 -> 39 [size =\"49522688\"]\n  39 [size=\"47040512\", alpha=\"0.13\", expect_size=\"23520256\"] \n  39 -> 40 [size =\"23520256\"]\n  40 [size=\"28545024\", alpha=\"0.14\", expect_size=\"14272512\"] \n  40 -> 41 [size =\"14272512\"]\n  41 [size=\"96434176\", alpha=\"0.04\", expect_size=\"48217088\"] \n  41 -> 42 [size =\"48217088\"]\n  42 [size=\"13867008\", alpha=\"0.17\", expect_size=\"6933504\"] \n  42 -> 43 [size =\"6933504\"]\n  43 [size=\"69160960\", alpha=\"0.17\", expect_size=\"34580480\"] \n  43 -> 44 [size =\"34580480\"]\n  44 [size=\"55400448\", alpha=\"0.01\", expect_size=\"27700224\"] \n  44 -> 45 [size =\"27700224\"]\n  45 [size=\"53514240\", alpha=\"0.05\", expect_size=\"26757120\"] \n  45 -> 46 [size =\"26757120\"]\n  46 [size=\"74164224\", alpha=\"0.15\", expect_size=\"37082112\"] \n  46 -> 47 [size =\"37082112\"]\n  47 [size=\"94423040\", alpha=\"0.11\", expect_size=\"47211520\"] \n  47 -> 48 [size =\"47211520\"]\n  48 [size=\"99692544\", alpha=\"0.20\", expect_size=\"49846272\"] \n  48 -> 49 [size =\"49846272\"]\n  49 [size=\"52039680\", alpha=\"0.02\", expect_size=\"26019840\"] \n  49 -> 50 [size =\"26019840\"]\n  50 [size=\"17737728\", alpha=\"0.09\", expect_size=\"8868864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.475.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85452800\", alpha=\"0.16\", expect_size=\"34181120\"] \n  1 -> 13 [size =\"34181120\"]\n  1 -> 15 [size =\"34181120\"]\n  2 [size=\"118008320\", alpha=\"0.20\", expect_size=\"47203328\"] \n  2 -> 10 [size =\"47203328\"]\n  3 [size=\"90247680\", alpha=\"0.05\", expect_size=\"36099072\"] \n  3 -> 10 [size =\"36099072\"]\n  3 -> 14 [size =\"36099072\"]\n  4 [size=\"70405120\", alpha=\"0.02\", expect_size=\"28162048\"] \n  4 -> 14 [size =\"28162048\"]\n  4 -> 16 [size =\"28162048\"]\n  5 [size=\"25625600\", alpha=\"0.15\", expect_size=\"10250240\"] \n  5 -> 13 [size =\"10250240\"]\n  5 -> 16 [size =\"10250240\"]\n  5 -> 17 [size =\"10250240\"]\n  6 [size=\"39782400\", alpha=\"0.17\", expect_size=\"15912960\"] \n  6 -> 12 [size =\"15912960\"]\n  6 -> 13 [size =\"15912960\"]\n  6 -> 15 [size =\"15912960\"]\n  6 -> 16 [size =\"15912960\"]\n  6 -> 17 [size =\"15912960\"]\n  7 [size=\"86991360\", alpha=\"0.11\", expect_size=\"34796544\"] \n  7 -> 10 [size =\"34796544\"]\n  7 -> 12 [size =\"34796544\"]\n  7 -> 15 [size =\"34796544\"]\n  7 -> 16 [size =\"34796544\"]\n  8 [size=\"32430080\", alpha=\"0.03\", expect_size=\"12972032\"] \n  8 -> 13 [size =\"12972032\"]\n  8 -> 15 [size =\"12972032\"]\n  8 -> 16 [size =\"12972032\"]\n  9 [size=\"61155840\", alpha=\"0.03\", expect_size=\"24462336\"] \n  9 -> 11 [size =\"24462336\"]\n  9 -> 15 [size =\"24462336\"]\n  9 -> 16 [size =\"24462336\"]\n  10 [size=\"35458560\", alpha=\"0.02\", expect_size=\"14183424\"] \n  10 -> 20 [size =\"14183424\"]\n  10 -> 21 [size =\"14183424\"]\n  10 -> 22 [size =\"14183424\"]\n  10 -> 24 [size =\"14183424\"]\n  10 -> 25 [size =\"14183424\"]\n  11 [size=\"34224640\", alpha=\"0.01\", expect_size=\"13689856\"] \n  11 -> 18 [size =\"13689856\"]\n  11 -> 19 [size =\"13689856\"]\n  11 -> 20 [size =\"13689856\"]\n  11 -> 21 [size =\"13689856\"]\n  11 -> 25 [size =\"13689856\"]\n  12 [size=\"13273600\", alpha=\"0.12\", expect_size=\"5309440\"] \n  12 -> 20 [size =\"5309440\"]\n  12 -> 24 [size =\"5309440\"]\n  12 -> 25 [size =\"5309440\"]\n  13 [size=\"13248000\", alpha=\"0.09\", expect_size=\"5299200\"] \n  13 -> 25 [size =\"5299200\"]\n  14 [size=\"43120640\", alpha=\"0.18\", expect_size=\"17248256\"] \n  15 [size=\"54653440\", alpha=\"0.05\", expect_size=\"21861376\"] \n  15 -> 19 [size =\"21861376\"]\n  15 -> 21 [size =\"21861376\"]\n  15 -> 23 [size =\"21861376\"]\n  15 -> 24 [size =\"21861376\"]\n  16 [size=\"22343680\", alpha=\"0.05\", expect_size=\"8937472\"] \n  16 -> 21 [size =\"8937472\"]\n  16 -> 24 [size =\"8937472\"]\n  17 [size=\"120074240\", alpha=\"0.18\", expect_size=\"48029696\"] \n  17 -> 21 [size =\"48029696\"]\n  17 -> 22 [size =\"48029696\"]\n  17 -> 23 [size =\"48029696\"]\n  17 -> 25 [size =\"48029696\"]\n  18 [size=\"65538560\", alpha=\"0.12\", expect_size=\"26215424\"] \n  18 -> 26 [size =\"26215424\"]\n  18 -> 30 [size =\"26215424\"]\n  18 -> 31 [size =\"26215424\"]\n  19 [size=\"85736960\", alpha=\"0.07\", expect_size=\"34294784\"] \n  19 -> 27 [size =\"34294784\"]\n  19 -> 33 [size =\"34294784\"]\n  20 [size=\"102026240\", alpha=\"0.19\", expect_size=\"40810496\"] \n  20 -> 29 [size =\"40810496\"]\n  20 -> 30 [size =\"40810496\"]\n  20 -> 33 [size =\"40810496\"]\n  21 [size=\"116108800\", alpha=\"0.04\", expect_size=\"46443520\"] \n  21 -> 26 [size =\"46443520\"]\n  21 -> 27 [size =\"46443520\"]\n  21 -> 28 [size =\"46443520\"]\n  21 -> 31 [size =\"46443520\"]\n  22 [size=\"124392960\", alpha=\"0.07\", expect_size=\"49757184\"] \n  22 -> 26 [size =\"49757184\"]\n  22 -> 27 [size =\"49757184\"]\n  22 -> 31 [size =\"49757184\"]\n  22 -> 31 [size =\"49757184\"]\n  22 -> 32 [size =\"49757184\"]\n  23 [size=\"78594560\", alpha=\"0.03\", expect_size=\"31437824\"] \n  23 -> 27 [size =\"31437824\"]\n  23 -> 27 [size =\"31437824\"]\n  23 -> 31 [size =\"31437824\"]\n  23 -> 32 [size =\"31437824\"]\n  23 -> 32 [size =\"31437824\"]\n  23 -> 33 [size =\"31437824\"]\n  24 [size=\"15644160\", alpha=\"0.09\", expect_size=\"6257664\"] \n  25 [size=\"119288320\", alpha=\"0.17\", expect_size=\"47715328\"] \n  25 -> 26 [size =\"47715328\"]\n  25 -> 30 [size =\"47715328\"]\n  25 -> 32 [size =\"47715328\"]\n  25 -> 33 [size =\"47715328\"]\n  26 [size=\"32002560\", alpha=\"0.09\", expect_size=\"12801024\"] \n  26 -> 37 [size =\"12801024\"]\n  26 -> 40 [size =\"12801024\"]\n  27 [size=\"60805120\", alpha=\"0.14\", expect_size=\"24322048\"] \n  27 -> 35 [size =\"24322048\"]\n  27 -> 40 [size =\"24322048\"]\n  27 -> 42 [size =\"24322048\"]\n  28 [size=\"48504320\", alpha=\"0.02\", expect_size=\"19401728\"] \n  28 -> 35 [size =\"19401728\"]\n  28 -> 36 [size =\"19401728\"]\n  28 -> 37 [size =\"19401728\"]\n  28 -> 42 [size =\"19401728\"]\n  29 [size=\"121492480\", alpha=\"0.18\", expect_size=\"48596992\"] \n  29 -> 36 [size =\"48596992\"]\n  29 -> 40 [size =\"48596992\"]\n  29 -> 42 [size =\"48596992\"]\n  30 [size=\"41891840\", alpha=\"0.19\", expect_size=\"16756736\"] \n  30 -> 34 [size =\"16756736\"]\n  30 -> 35 [size =\"16756736\"]\n  30 -> 39 [size =\"16756736\"]\n  31 [size=\"38054400\", alpha=\"0.02\", expect_size=\"15221760\"] \n  31 -> 34 [size =\"15221760\"]\n  31 -> 35 [size =\"15221760\"]\n  31 -> 37 [size =\"15221760\"]\n  31 -> 39 [size =\"15221760\"]\n  32 [size=\"64358400\", alpha=\"0.06\", expect_size=\"25743360\"] \n  32 -> 37 [size =\"25743360\"]\n  32 -> 38 [size =\"25743360\"]\n  32 -> 39 [size =\"25743360\"]\n  32 -> 39 [size =\"25743360\"]\n  32 -> 40 [size =\"25743360\"]\n  32 -> 42 [size =\"25743360\"]\n  33 [size=\"107745280\", alpha=\"0.10\", expect_size=\"43098112\"] \n  33 -> 37 [size =\"43098112\"]\n  33 -> 39 [size =\"43098112\"]\n  33 -> 40 [size =\"43098112\"]\n  33 -> 41 [size =\"43098112\"]\n  34 [size=\"127388160\", alpha=\"0.18\", expect_size=\"50955264\"] \n  34 -> 43 [size =\"50955264\"]\n  34 -> 44 [size =\"50955264\"]\n  34 -> 45 [size =\"50955264\"]\n  35 [size=\"62625280\", alpha=\"0.14\", expect_size=\"25050112\"] \n  35 -> 43 [size =\"25050112\"]\n  35 -> 45 [size =\"25050112\"]\n  35 -> 50 [size =\"25050112\"]\n  36 [size=\"43937280\", alpha=\"0.12\", expect_size=\"17574912\"] \n  36 -> 43 [size =\"17574912\"]\n  36 -> 46 [size =\"17574912\"]\n  37 [size=\"98004480\", alpha=\"0.07\", expect_size=\"39201792\"] \n  37 -> 43 [size =\"39201792\"]\n  37 -> 45 [size =\"39201792\"]\n  37 -> 46 [size =\"39201792\"]\n  37 -> 48 [size =\"39201792\"]\n  38 [size=\"62781440\", alpha=\"0.12\", expect_size=\"25112576\"] \n  38 -> 46 [size =\"25112576\"]\n  38 -> 47 [size =\"25112576\"]\n  38 -> 50 [size =\"25112576\"]\n  39 [size=\"75553280\", alpha=\"0.08\", expect_size=\"30221312\"] \n  39 -> 45 [size =\"30221312\"]\n  39 -> 46 [size =\"30221312\"]\n  39 -> 50 [size =\"30221312\"]\n  40 [size=\"66411520\", alpha=\"0.00\", expect_size=\"26564608\"] \n  40 -> 46 [size =\"26564608\"]\n  41 [size=\"57707520\", alpha=\"0.09\", expect_size=\"23083008\"] \n  41 -> 48 [size =\"23083008\"]\n  41 -> 49 [size =\"23083008\"]\n  42 [size=\"70556160\", alpha=\"0.18\", expect_size=\"28222464\"] \n  42 -> 43 [size =\"28222464\"]\n  42 -> 44 [size =\"28222464\"]\n  43 [size=\"105128960\", alpha=\"0.17\", expect_size=\"42051584\"] \n  44 [size=\"43596800\", alpha=\"0.17\", expect_size=\"17438720\"] \n  45 [size=\"33943040\", alpha=\"0.14\", expect_size=\"13577216\"] \n  46 [size=\"117716480\", alpha=\"0.15\", expect_size=\"47086592\"] \n  47 [size=\"68224000\", alpha=\"0.04\", expect_size=\"27289600\"] \n  48 [size=\"110400000\", alpha=\"0.19\", expect_size=\"44160000\"] \n  49 [size=\"60743680\", alpha=\"0.12\", expect_size=\"24297472\"] \n  50 [size=\"109854720\", alpha=\"0.11\", expect_size=\"43941888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.476.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15755264\", alpha=\"0.07\", expect_size=\"7877632\"] \n  1 -> 2 [size =\"7877632\"]\n  2 [size=\"53809152\", alpha=\"0.09\", expect_size=\"26904576\"] \n  2 -> 3 [size =\"26904576\"]\n  3 [size=\"18542592\", alpha=\"0.11\", expect_size=\"9271296\"] \n  3 -> 4 [size =\"9271296\"]\n  4 [size=\"58869760\", alpha=\"0.14\", expect_size=\"29434880\"] \n  4 -> 5 [size =\"29434880\"]\n  5 [size=\"71272448\", alpha=\"0.15\", expect_size=\"35636224\"] \n  5 -> 6 [size =\"35636224\"]\n  6 [size=\"91275264\", alpha=\"0.05\", expect_size=\"45637632\"] \n  6 -> 7 [size =\"45637632\"]\n  7 [size=\"96266240\", alpha=\"0.14\", expect_size=\"48133120\"] \n  7 -> 8 [size =\"48133120\"]\n  8 [size=\"13064192\", alpha=\"0.19\", expect_size=\"6532096\"] \n  8 -> 9 [size =\"6532096\"]\n  9 [size=\"68102144\", alpha=\"0.20\", expect_size=\"34051072\"] \n  9 -> 10 [size =\"34051072\"]\n  10 [size=\"67946496\", alpha=\"0.03\", expect_size=\"33973248\"] \n  10 -> 11 [size =\"33973248\"]\n  11 [size=\"21069824\", alpha=\"0.14\", expect_size=\"10534912\"] \n  11 -> 12 [size =\"10534912\"]\n  12 [size=\"54380544\", alpha=\"0.06\", expect_size=\"27190272\"] \n  12 -> 13 [size =\"27190272\"]\n  13 [size=\"97490944\", alpha=\"0.18\", expect_size=\"48745472\"] \n  13 -> 14 [size =\"48745472\"]\n  14 [size=\"53489664\", alpha=\"0.07\", expect_size=\"26744832\"] \n  14 -> 15 [size =\"26744832\"]\n  15 [size=\"25161728\", alpha=\"0.08\", expect_size=\"12580864\"] \n  15 -> 16 [size =\"12580864\"]\n  16 [size=\"96759808\", alpha=\"0.18\", expect_size=\"48379904\"] \n  16 -> 17 [size =\"48379904\"]\n  17 [size=\"26462208\", alpha=\"0.09\", expect_size=\"13231104\"] \n  17 -> 18 [size =\"13231104\"]\n  18 [size=\"91813888\", alpha=\"0.02\", expect_size=\"45906944\"] \n  18 -> 19 [size =\"45906944\"]\n  19 [size=\"88266752\", alpha=\"0.16\", expect_size=\"44133376\"] \n  19 -> 20 [size =\"44133376\"]\n  20 [size=\"86325248\", alpha=\"0.16\", expect_size=\"43162624\"] \n  20 -> 21 [size =\"43162624\"]\n  21 [size=\"99094528\", alpha=\"0.18\", expect_size=\"49547264\"] \n  21 -> 22 [size =\"49547264\"]\n  22 [size=\"68589568\", alpha=\"0.09\", expect_size=\"34294784\"] \n  22 -> 23 [size =\"34294784\"]\n  23 [size=\"97501184\", alpha=\"0.01\", expect_size=\"48750592\"] \n  23 -> 24 [size =\"48750592\"]\n  24 [size=\"89352192\", alpha=\"0.04\", expect_size=\"44676096\"] \n  24 -> 25 [size =\"44676096\"]\n  25 [size=\"27430912\", alpha=\"0.20\", expect_size=\"13715456\"] \n  25 -> 26 [size =\"13715456\"]\n  26 [size=\"64636928\", alpha=\"0.13\", expect_size=\"32318464\"] \n  26 -> 27 [size =\"32318464\"]\n  27 [size=\"56989696\", alpha=\"0.04\", expect_size=\"28494848\"] \n  27 -> 28 [size =\"28494848\"]\n  28 [size=\"100845568\", alpha=\"0.15\", expect_size=\"50422784\"] \n  28 -> 29 [size =\"50422784\"]\n  29 [size=\"15796224\", alpha=\"0.19\", expect_size=\"7898112\"] \n  29 -> 30 [size =\"7898112\"]\n  30 [size=\"90093568\", alpha=\"0.15\", expect_size=\"45046784\"] \n  30 -> 31 [size =\"45046784\"]\n  31 [size=\"72652800\", alpha=\"0.13\", expect_size=\"36326400\"] \n  31 -> 32 [size =\"36326400\"]\n  32 [size=\"63119360\", alpha=\"0.01\", expect_size=\"31559680\"] \n  32 -> 33 [size =\"31559680\"]\n  33 [size=\"104814592\", alpha=\"0.07\", expect_size=\"52407296\"] \n  33 -> 34 [size =\"52407296\"]\n  34 [size=\"17053696\", alpha=\"0.02\", expect_size=\"8526848\"] \n  34 -> 35 [size =\"8526848\"]\n  35 [size=\"36964352\", alpha=\"0.20\", expect_size=\"18482176\"] \n  35 -> 36 [size =\"18482176\"]\n  36 [size=\"36589568\", alpha=\"0.16\", expect_size=\"18294784\"] \n  36 -> 37 [size =\"18294784\"]\n  37 [size=\"96720896\", alpha=\"0.16\", expect_size=\"48360448\"] \n  37 -> 38 [size =\"48360448\"]\n  38 [size=\"20025344\", alpha=\"0.13\", expect_size=\"10012672\"] \n  38 -> 39 [size =\"10012672\"]\n  39 [size=\"92196864\", alpha=\"0.07\", expect_size=\"46098432\"] \n  39 -> 40 [size =\"46098432\"]\n  40 [size=\"87736320\", alpha=\"0.16\", expect_size=\"43868160\"] \n  40 -> 41 [size =\"43868160\"]\n  41 [size=\"64106496\", alpha=\"0.05\", expect_size=\"32053248\"] \n  41 -> 42 [size =\"32053248\"]\n  42 [size=\"31893504\", alpha=\"0.05\", expect_size=\"15946752\"] \n  42 -> 43 [size =\"15946752\"]\n  43 [size=\"34992128\", alpha=\"0.04\", expect_size=\"17496064\"] \n  43 -> 44 [size =\"17496064\"]\n  44 [size=\"66037760\", alpha=\"0.00\", expect_size=\"33018880\"] \n  44 -> 45 [size =\"33018880\"]\n  45 [size=\"73666560\", alpha=\"0.20\", expect_size=\"36833280\"] \n  45 -> 46 [size =\"36833280\"]\n  46 [size=\"72550400\", alpha=\"0.11\", expect_size=\"36275200\"] \n  46 -> 47 [size =\"36275200\"]\n  47 [size=\"54593536\", alpha=\"0.11\", expect_size=\"27296768\"] \n  47 -> 48 [size =\"27296768\"]\n  48 [size=\"35774464\", alpha=\"0.11\", expect_size=\"17887232\"] \n  48 -> 49 [size =\"17887232\"]\n  49 [size=\"97423360\", alpha=\"0.12\", expect_size=\"48711680\"] \n  49 -> 50 [size =\"48711680\"]\n  50 [size=\"34207744\", alpha=\"0.10\", expect_size=\"17103872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.477.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44734464\", alpha=\"0.12\", expect_size=\"22367232\"] \n  1 -> 7 [size =\"22367232\"]\n  2 [size=\"88336384\", alpha=\"0.03\", expect_size=\"44168192\"] \n  2 -> 6 [size =\"44168192\"]\n  2 -> 7 [size =\"44168192\"]\n  2 -> 8 [size =\"44168192\"]\n  3 [size=\"32188416\", alpha=\"0.17\", expect_size=\"16094208\"] \n  3 -> 6 [size =\"16094208\"]\n  3 -> 7 [size =\"16094208\"]\n  4 [size=\"99325952\", alpha=\"0.14\", expect_size=\"49662976\"] \n  5 [size=\"68464640\", alpha=\"0.10\", expect_size=\"34232320\"] \n  5 -> 8 [size =\"34232320\"]\n  6 [size=\"30810112\", alpha=\"0.01\", expect_size=\"15405056\"] \n  6 -> 10 [size =\"15405056\"]\n  6 -> 12 [size =\"15405056\"]\n  6 -> 13 [size =\"15405056\"]\n  6 -> 14 [size =\"15405056\"]\n  6 -> 15 [size =\"15405056\"]\n  6 -> 17 [size =\"15405056\"]\n  7 [size=\"22138880\", alpha=\"0.14\", expect_size=\"11069440\"] \n  7 -> 9 [size =\"11069440\"]\n  7 -> 10 [size =\"11069440\"]\n  7 -> 11 [size =\"11069440\"]\n  7 -> 12 [size =\"11069440\"]\n  7 -> 13 [size =\"11069440\"]\n  7 -> 15 [size =\"11069440\"]\n  7 -> 17 [size =\"11069440\"]\n  8 [size=\"84465664\", alpha=\"0.20\", expect_size=\"42232832\"] \n  8 -> 9 [size =\"42232832\"]\n  8 -> 10 [size =\"42232832\"]\n  8 -> 12 [size =\"42232832\"]\n  8 -> 16 [size =\"42232832\"]\n  9 [size=\"88227840\", alpha=\"0.11\", expect_size=\"44113920\"] \n  9 -> 18 [size =\"44113920\"]\n  9 -> 19 [size =\"44113920\"]\n  9 -> 22 [size =\"44113920\"]\n  9 -> 23 [size =\"44113920\"]\n  9 -> 24 [size =\"44113920\"]\n  10 [size=\"56168448\", alpha=\"0.19\", expect_size=\"28084224\"] \n  10 -> 18 [size =\"28084224\"]\n  10 -> 19 [size =\"28084224\"]\n  10 -> 20 [size =\"28084224\"]\n  10 -> 21 [size =\"28084224\"]\n  10 -> 22 [size =\"28084224\"]\n  10 -> 24 [size =\"28084224\"]\n  11 [size=\"50153472\", alpha=\"0.16\", expect_size=\"25076736\"] \n  11 -> 18 [size =\"25076736\"]\n  11 -> 21 [size =\"25076736\"]\n  11 -> 23 [size =\"25076736\"]\n  12 [size=\"12488704\", alpha=\"0.09\", expect_size=\"6244352\"] \n  12 -> 19 [size =\"6244352\"]\n  12 -> 21 [size =\"6244352\"]\n  12 -> 23 [size =\"6244352\"]\n  13 [size=\"24520704\", alpha=\"0.15\", expect_size=\"12260352\"] \n  13 -> 20 [size =\"12260352\"]\n  13 -> 21 [size =\"12260352\"]\n  14 [size=\"103483392\", alpha=\"0.07\", expect_size=\"51741696\"] \n  14 -> 18 [size =\"51741696\"]\n  14 -> 19 [size =\"51741696\"]\n  14 -> 20 [size =\"51741696\"]\n  15 [size=\"76113920\", alpha=\"0.13\", expect_size=\"38056960\"] \n  15 -> 19 [size =\"38056960\"]\n  15 -> 20 [size =\"38056960\"]\n  15 -> 20 [size =\"38056960\"]\n  15 -> 21 [size =\"38056960\"]\n  16 [size=\"30904320\", alpha=\"0.09\", expect_size=\"15452160\"] \n  16 -> 19 [size =\"15452160\"]\n  16 -> 21 [size =\"15452160\"]\n  16 -> 22 [size =\"15452160\"]\n  17 [size=\"37982208\", alpha=\"0.02\", expect_size=\"18991104\"] \n  17 -> 18 [size =\"18991104\"]\n  17 -> 19 [size =\"18991104\"]\n  17 -> 22 [size =\"18991104\"]\n  17 -> 24 [size =\"18991104\"]\n  18 [size=\"11313152\", alpha=\"0.03\", expect_size=\"5656576\"] \n  18 -> 27 [size =\"5656576\"]\n  18 -> 28 [size =\"5656576\"]\n  18 -> 29 [size =\"5656576\"]\n  18 -> 30 [size =\"5656576\"]\n  18 -> 32 [size =\"5656576\"]\n  19 [size=\"11186176\", alpha=\"0.19\", expect_size=\"5593088\"] \n  19 -> 26 [size =\"5593088\"]\n  19 -> 28 [size =\"5593088\"]\n  19 -> 29 [size =\"5593088\"]\n  19 -> 31 [size =\"5593088\"]\n  19 -> 32 [size =\"5593088\"]\n  20 [size=\"62324736\", alpha=\"0.08\", expect_size=\"31162368\"] \n  20 -> 26 [size =\"31162368\"]\n  20 -> 28 [size =\"31162368\"]\n  20 -> 31 [size =\"31162368\"]\n  20 -> 32 [size =\"31162368\"]\n  21 [size=\"59377664\", alpha=\"0.04\", expect_size=\"29688832\"] \n  21 -> 26 [size =\"29688832\"]\n  21 -> 27 [size =\"29688832\"]\n  21 -> 31 [size =\"29688832\"]\n  21 -> 32 [size =\"29688832\"]\n  22 [size=\"39729152\", alpha=\"0.17\", expect_size=\"19864576\"] \n  22 -> 25 [size =\"19864576\"]\n  22 -> 27 [size =\"19864576\"]\n  22 -> 29 [size =\"19864576\"]\n  23 [size=\"83609600\", alpha=\"0.14\", expect_size=\"41804800\"] \n  23 -> 26 [size =\"41804800\"]\n  23 -> 30 [size =\"41804800\"]\n  24 [size=\"61374464\", alpha=\"0.10\", expect_size=\"30687232\"] \n  24 -> 25 [size =\"30687232\"]\n  24 -> 28 [size =\"30687232\"]\n  24 -> 29 [size =\"30687232\"]\n  24 -> 30 [size =\"30687232\"]\n  24 -> 31 [size =\"30687232\"]\n  24 -> 32 [size =\"30687232\"]\n  25 [size=\"94951424\", alpha=\"0.18\", expect_size=\"47475712\"] \n  25 -> 33 [size =\"47475712\"]\n  25 -> 36 [size =\"47475712\"]\n  25 -> 39 [size =\"47475712\"]\n  26 [size=\"59721728\", alpha=\"0.11\", expect_size=\"29860864\"] \n  26 -> 33 [size =\"29860864\"]\n  26 -> 35 [size =\"29860864\"]\n  26 -> 37 [size =\"29860864\"]\n  26 -> 38 [size =\"29860864\"]\n  26 -> 39 [size =\"29860864\"]\n  27 [size=\"100294656\", alpha=\"0.06\", expect_size=\"50147328\"] \n  27 -> 37 [size =\"50147328\"]\n  28 [size=\"15976448\", alpha=\"0.17\", expect_size=\"7988224\"] \n  28 -> 33 [size =\"7988224\"]\n  28 -> 35 [size =\"7988224\"]\n  29 [size=\"28895232\", alpha=\"0.04\", expect_size=\"14447616\"] \n  29 -> 37 [size =\"14447616\"]\n  29 -> 39 [size =\"14447616\"]\n  30 [size=\"26224640\", alpha=\"0.01\", expect_size=\"13112320\"] \n  30 -> 35 [size =\"13112320\"]\n  31 [size=\"65015808\", alpha=\"0.06\", expect_size=\"32507904\"] \n  31 -> 35 [size =\"32507904\"]\n  32 [size=\"85149696\", alpha=\"0.12\", expect_size=\"42574848\"] \n  32 -> 34 [size =\"42574848\"]\n  32 -> 35 [size =\"42574848\"]\n  32 -> 36 [size =\"42574848\"]\n  32 -> 39 [size =\"42574848\"]\n  33 [size=\"70100992\", alpha=\"0.00\", expect_size=\"35050496\"] \n  33 -> 40 [size =\"35050496\"]\n  33 -> 43 [size =\"35050496\"]\n  33 -> 44 [size =\"35050496\"]\n  34 [size=\"41578496\", alpha=\"0.09\", expect_size=\"20789248\"] \n  34 -> 41 [size =\"20789248\"]\n  35 [size=\"88422400\", alpha=\"0.11\", expect_size=\"44211200\"] \n  35 -> 41 [size =\"44211200\"]\n  35 -> 42 [size =\"44211200\"]\n  35 -> 44 [size =\"44211200\"]\n  36 [size=\"79867904\", alpha=\"0.18\", expect_size=\"39933952\"] \n  36 -> 40 [size =\"39933952\"]\n  36 -> 42 [size =\"39933952\"]\n  36 -> 43 [size =\"39933952\"]\n  36 -> 45 [size =\"39933952\"]\n  37 [size=\"36239360\", alpha=\"0.10\", expect_size=\"18119680\"] \n  37 -> 40 [size =\"18119680\"]\n  37 -> 42 [size =\"18119680\"]\n  37 -> 43 [size =\"18119680\"]\n  38 [size=\"63563776\", alpha=\"0.03\", expect_size=\"31781888\"] \n  38 -> 40 [size =\"31781888\"]\n  38 -> 42 [size =\"31781888\"]\n  38 -> 43 [size =\"31781888\"]\n  39 [size=\"47077376\", alpha=\"0.15\", expect_size=\"23538688\"] \n  39 -> 40 [size =\"23538688\"]\n  39 -> 43 [size =\"23538688\"]\n  40 [size=\"64522240\", alpha=\"0.19\", expect_size=\"32261120\"] \n  40 -> 48 [size =\"32261120\"]\n  41 [size=\"67213312\", alpha=\"0.13\", expect_size=\"33606656\"] \n  41 -> 46 [size =\"33606656\"]\n  42 [size=\"94816256\", alpha=\"0.14\", expect_size=\"47408128\"] \n  42 -> 50 [size =\"47408128\"]\n  43 [size=\"54966272\", alpha=\"0.09\", expect_size=\"27483136\"] \n  43 -> 48 [size =\"27483136\"]\n  43 -> 49 [size =\"27483136\"]\n  44 [size=\"56068096\", alpha=\"0.16\", expect_size=\"28034048\"] \n  44 -> 49 [size =\"28034048\"]\n  45 [size=\"96749568\", alpha=\"0.01\", expect_size=\"48374784\"] \n  45 -> 47 [size =\"48374784\"]\n  45 -> 49 [size =\"48374784\"]\n  46 [size=\"53895168\", alpha=\"0.15\", expect_size=\"26947584\"] \n  47 [size=\"42297344\", alpha=\"0.09\", expect_size=\"21148672\"] \n  48 [size=\"89452544\", alpha=\"0.05\", expect_size=\"44726272\"] \n  49 [size=\"101818368\", alpha=\"0.04\", expect_size=\"50909184\"] \n  50 [size=\"80097280\", alpha=\"0.06\", expect_size=\"40048640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.478.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88678400\", alpha=\"0.14\", expect_size=\"44339200\"] \n  1 -> 2 [size =\"44339200\"]\n  2 [size=\"80201728\", alpha=\"0.08\", expect_size=\"40100864\"] \n  2 -> 3 [size =\"40100864\"]\n  3 [size=\"34342912\", alpha=\"0.09\", expect_size=\"17171456\"] \n  3 -> 4 [size =\"17171456\"]\n  4 [size=\"22933504\", alpha=\"0.04\", expect_size=\"11466752\"] \n  4 -> 5 [size =\"11466752\"]\n  5 [size=\"58083328\", alpha=\"0.17\", expect_size=\"29041664\"] \n  5 -> 6 [size =\"29041664\"]\n  6 [size=\"62830592\", alpha=\"0.00\", expect_size=\"31415296\"] \n  6 -> 7 [size =\"31415296\"]\n  7 [size=\"81000448\", alpha=\"0.03\", expect_size=\"40500224\"] \n  7 -> 8 [size =\"40500224\"]\n  8 [size=\"50497536\", alpha=\"0.19\", expect_size=\"25248768\"] \n  8 -> 9 [size =\"25248768\"]\n  9 [size=\"63975424\", alpha=\"0.08\", expect_size=\"31987712\"] \n  9 -> 10 [size =\"31987712\"]\n  10 [size=\"49799168\", alpha=\"0.17\", expect_size=\"24899584\"] \n  10 -> 11 [size =\"24899584\"]\n  11 [size=\"79394816\", alpha=\"0.11\", expect_size=\"39697408\"] \n  11 -> 12 [size =\"39697408\"]\n  12 [size=\"48834560\", alpha=\"0.03\", expect_size=\"24417280\"] \n  12 -> 13 [size =\"24417280\"]\n  13 [size=\"88330240\", alpha=\"0.06\", expect_size=\"44165120\"] \n  13 -> 14 [size =\"44165120\"]\n  14 [size=\"37554176\", alpha=\"0.06\", expect_size=\"18777088\"] \n  14 -> 15 [size =\"18777088\"]\n  15 [size=\"55996416\", alpha=\"0.02\", expect_size=\"27998208\"] \n  15 -> 16 [size =\"27998208\"]\n  16 [size=\"40216576\", alpha=\"0.13\", expect_size=\"20108288\"] \n  16 -> 17 [size =\"20108288\"]\n  17 [size=\"41107456\", alpha=\"0.19\", expect_size=\"20553728\"] \n  17 -> 18 [size =\"20553728\"]\n  18 [size=\"55427072\", alpha=\"0.14\", expect_size=\"27713536\"] \n  18 -> 19 [size =\"27713536\"]\n  19 [size=\"49111040\", alpha=\"0.01\", expect_size=\"24555520\"] \n  19 -> 20 [size =\"24555520\"]\n  20 [size=\"88367104\", alpha=\"0.14\", expect_size=\"44183552\"] \n  20 -> 21 [size =\"44183552\"]\n  21 [size=\"74694656\", alpha=\"0.03\", expect_size=\"37347328\"] \n  21 -> 22 [size =\"37347328\"]\n  22 [size=\"31010816\", alpha=\"0.08\", expect_size=\"15505408\"] \n  22 -> 23 [size =\"15505408\"]\n  23 [size=\"45869056\", alpha=\"0.17\", expect_size=\"22934528\"] \n  23 -> 24 [size =\"22934528\"]\n  24 [size=\"73996288\", alpha=\"0.09\", expect_size=\"36998144\"] \n  24 -> 25 [size =\"36998144\"]\n  25 [size=\"104507392\", alpha=\"0.12\", expect_size=\"52253696\"] \n  25 -> 26 [size =\"52253696\"]\n  26 [size=\"19027968\", alpha=\"0.05\", expect_size=\"9513984\"] \n  26 -> 27 [size =\"9513984\"]\n  27 [size=\"78798848\", alpha=\"0.13\", expect_size=\"39399424\"] \n  27 -> 28 [size =\"39399424\"]\n  28 [size=\"75024384\", alpha=\"0.10\", expect_size=\"37512192\"] \n  28 -> 29 [size =\"37512192\"]\n  29 [size=\"45371392\", alpha=\"0.18\", expect_size=\"22685696\"] \n  29 -> 30 [size =\"22685696\"]\n  30 [size=\"48381952\", alpha=\"0.15\", expect_size=\"24190976\"] \n  30 -> 31 [size =\"24190976\"]\n  31 [size=\"18817024\", alpha=\"0.06\", expect_size=\"9408512\"] \n  31 -> 32 [size =\"9408512\"]\n  32 [size=\"34875392\", alpha=\"0.05\", expect_size=\"17437696\"] \n  32 -> 33 [size =\"17437696\"]\n  33 [size=\"71897088\", alpha=\"0.00\", expect_size=\"35948544\"] \n  33 -> 34 [size =\"35948544\"]\n  34 [size=\"59371520\", alpha=\"0.02\", expect_size=\"29685760\"] \n  34 -> 35 [size =\"29685760\"]\n  35 [size=\"104118272\", alpha=\"0.13\", expect_size=\"52059136\"] \n  35 -> 36 [size =\"52059136\"]\n  36 [size=\"64993280\", alpha=\"0.10\", expect_size=\"32496640\"] \n  36 -> 37 [size =\"32496640\"]\n  37 [size=\"88711168\", alpha=\"0.14\", expect_size=\"44355584\"] \n  37 -> 38 [size =\"44355584\"]\n  38 [size=\"57049088\", alpha=\"0.07\", expect_size=\"28524544\"] \n  38 -> 39 [size =\"28524544\"]\n  39 [size=\"104388608\", alpha=\"0.09\", expect_size=\"52194304\"] \n  39 -> 40 [size =\"52194304\"]\n  40 [size=\"95477760\", alpha=\"0.07\", expect_size=\"47738880\"] \n  40 -> 41 [size =\"47738880\"]\n  41 [size=\"69629952\", alpha=\"0.18\", expect_size=\"34814976\"] \n  41 -> 42 [size =\"34814976\"]\n  42 [size=\"95754240\", alpha=\"0.14\", expect_size=\"47877120\"] \n  42 -> 43 [size =\"47877120\"]\n  43 [size=\"23459840\", alpha=\"0.18\", expect_size=\"11729920\"] \n  43 -> 44 [size =\"11729920\"]\n  44 [size=\"24961024\", alpha=\"0.15\", expect_size=\"12480512\"] \n  44 -> 45 [size =\"12480512\"]\n  45 [size=\"32956416\", alpha=\"0.12\", expect_size=\"16478208\"] \n  45 -> 46 [size =\"16478208\"]\n  46 [size=\"92956672\", alpha=\"0.10\", expect_size=\"46478336\"] \n  46 -> 47 [size =\"46478336\"]\n  47 [size=\"45953024\", alpha=\"0.04\", expect_size=\"22976512\"] \n  47 -> 48 [size =\"22976512\"]\n  48 [size=\"16934912\", alpha=\"0.10\", expect_size=\"8467456\"] \n  48 -> 49 [size =\"8467456\"]\n  49 [size=\"50847744\", alpha=\"0.05\", expect_size=\"25423872\"] \n  49 -> 50 [size =\"25423872\"]\n  50 [size=\"91944960\", alpha=\"0.07\", expect_size=\"45972480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.479.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158289920\", alpha=\"0.07\", expect_size=\"47486976\"] \n  1 -> 13 [size =\"47486976\"]\n  1 -> 18 [size =\"47486976\"]\n  1 -> 20 [size =\"47486976\"]\n  1 -> 23 [size =\"47486976\"]\n  2 [size=\"114210133\", alpha=\"0.03\", expect_size=\"34263040\"] \n  2 -> 15 [size =\"34263040\"]\n  2 -> 17 [size =\"34263040\"]\n  2 -> 20 [size =\"34263040\"]\n  3 [size=\"117698560\", alpha=\"0.06\", expect_size=\"35309568\"] \n  3 -> 16 [size =\"35309568\"]\n  3 -> 17 [size =\"35309568\"]\n  3 -> 20 [size =\"35309568\"]\n  3 -> 21 [size =\"35309568\"]\n  3 -> 22 [size =\"35309568\"]\n  4 [size=\"148459520\", alpha=\"0.03\", expect_size=\"44537856\"] \n  4 -> 15 [size =\"44537856\"]\n  4 -> 18 [size =\"44537856\"]\n  4 -> 21 [size =\"44537856\"]\n  5 [size=\"27074560\", alpha=\"0.17\", expect_size=\"8122368\"] \n  5 -> 14 [size =\"8122368\"]\n  5 -> 18 [size =\"8122368\"]\n  5 -> 20 [size =\"8122368\"]\n  5 -> 23 [size =\"8122368\"]\n  5 -> 24 [size =\"8122368\"]\n  6 [size=\"73294507\", alpha=\"0.10\", expect_size=\"21988352\"] \n  6 -> 15 [size =\"21988352\"]\n  6 -> 16 [size =\"21988352\"]\n  6 -> 19 [size =\"21988352\"]\n  6 -> 21 [size =\"21988352\"]\n  6 -> 22 [size =\"21988352\"]\n  7 [size=\"147920213\", alpha=\"0.14\", expect_size=\"44376064\"] \n  7 -> 13 [size =\"44376064\"]\n  7 -> 14 [size =\"44376064\"]\n  7 -> 16 [size =\"44376064\"]\n  7 -> 19 [size =\"44376064\"]\n  7 -> 20 [size =\"44376064\"]\n  7 -> 21 [size =\"44376064\"]\n  8 [size=\"94361600\", alpha=\"0.19\", expect_size=\"28308480\"] \n  8 -> 18 [size =\"28308480\"]\n  8 -> 19 [size =\"28308480\"]\n  8 -> 20 [size =\"28308480\"]\n  8 -> 22 [size =\"28308480\"]\n  8 -> 24 [size =\"28308480\"]\n  9 [size=\"30607360\", alpha=\"0.20\", expect_size=\"9182208\"] \n  9 -> 17 [size =\"9182208\"]\n  9 -> 19 [size =\"9182208\"]\n  10 [size=\"64238933\", alpha=\"0.00\", expect_size=\"19271680\"] \n  10 -> 15 [size =\"19271680\"]\n  11 [size=\"36328107\", alpha=\"0.10\", expect_size=\"10898432\"] \n  11 -> 13 [size =\"10898432\"]\n  11 -> 21 [size =\"10898432\"]\n  11 -> 24 [size =\"10898432\"]\n  12 [size=\"94464000\", alpha=\"0.01\", expect_size=\"28339200\"] \n  12 -> 19 [size =\"28339200\"]\n  12 -> 21 [size =\"28339200\"]\n  12 -> 22 [size =\"28339200\"]\n  13 [size=\"119637333\", alpha=\"0.11\", expect_size=\"35891200\"] \n  13 -> 26 [size =\"35891200\"]\n  13 -> 28 [size =\"35891200\"]\n  13 -> 33 [size =\"35891200\"]\n  14 [size=\"163112960\", alpha=\"0.05\", expect_size=\"48933888\"] \n  15 [size=\"27149653\", alpha=\"0.15\", expect_size=\"8144896\"] \n  15 -> 28 [size =\"8144896\"]\n  16 [size=\"162662400\", alpha=\"0.03\", expect_size=\"48798720\"] \n  16 -> 27 [size =\"48798720\"]\n  16 -> 34 [size =\"48798720\"]\n  17 [size=\"81609387\", alpha=\"0.07\", expect_size=\"24482816\"] \n  17 -> 25 [size =\"24482816\"]\n  17 -> 28 [size =\"24482816\"]\n  17 -> 29 [size =\"24482816\"]\n  17 -> 30 [size =\"24482816\"]\n  17 -> 34 [size =\"24482816\"]\n  18 [size=\"37239467\", alpha=\"0.06\", expect_size=\"11171840\"] \n  18 -> 25 [size =\"11171840\"]\n  18 -> 34 [size =\"11171840\"]\n  19 [size=\"30023680\", alpha=\"0.16\", expect_size=\"9007104\"] \n  19 -> 26 [size =\"9007104\"]\n  19 -> 27 [size =\"9007104\"]\n  19 -> 31 [size =\"9007104\"]\n  20 [size=\"28303360\", alpha=\"0.11\", expect_size=\"8491008\"] \n  20 -> 26 [size =\"8491008\"]\n  20 -> 27 [size =\"8491008\"]\n  20 -> 28 [size =\"8491008\"]\n  20 -> 30 [size =\"8491008\"]\n  20 -> 32 [size =\"8491008\"]\n  21 [size=\"28750507\", alpha=\"0.03\", expect_size=\"8625152\"] \n  21 -> 27 [size =\"8625152\"]\n  21 -> 28 [size =\"8625152\"]\n  21 -> 30 [size =\"8625152\"]\n  21 -> 32 [size =\"8625152\"]\n  22 [size=\"105690453\", alpha=\"0.08\", expect_size=\"31707136\"] \n  22 -> 26 [size =\"31707136\"]\n  22 -> 27 [size =\"31707136\"]\n  22 -> 28 [size =\"31707136\"]\n  22 -> 29 [size =\"31707136\"]\n  22 -> 30 [size =\"31707136\"]\n  23 [size=\"117070507\", alpha=\"0.06\", expect_size=\"35121152\"] \n  23 -> 27 [size =\"35121152\"]\n  23 -> 29 [size =\"35121152\"]\n  24 [size=\"45165227\", alpha=\"0.20\", expect_size=\"13549568\"] \n  24 -> 29 [size =\"13549568\"]\n  24 -> 32 [size =\"13549568\"]\n  24 -> 33 [size =\"13549568\"]\n  24 -> 34 [size =\"13549568\"]\n  25 [size=\"82418347\", alpha=\"0.15\", expect_size=\"24725504\"] \n  25 -> 35 [size =\"24725504\"]\n  25 -> 38 [size =\"24725504\"]\n  25 -> 39 [size =\"24725504\"]\n  25 -> 40 [size =\"24725504\"]\n  25 -> 41 [size =\"24725504\"]\n  25 -> 46 [size =\"24725504\"]\n  25 -> 48 [size =\"24725504\"]\n  25 -> 50 [size =\"24725504\"]\n  26 [size=\"40349013\", alpha=\"0.17\", expect_size=\"12104704\"] \n  26 -> 37 [size =\"12104704\"]\n  26 -> 38 [size =\"12104704\"]\n  26 -> 40 [size =\"12104704\"]\n  26 -> 41 [size =\"12104704\"]\n  26 -> 44 [size =\"12104704\"]\n  26 -> 48 [size =\"12104704\"]\n  26 -> 49 [size =\"12104704\"]\n  27 [size=\"61282987\", alpha=\"0.16\", expect_size=\"18384896\"] \n  27 -> 40 [size =\"18384896\"]\n  27 -> 44 [size =\"18384896\"]\n  27 -> 46 [size =\"18384896\"]\n  27 -> 47 [size =\"18384896\"]\n  27 -> 48 [size =\"18384896\"]\n  27 -> 50 [size =\"18384896\"]\n  28 [size=\"113046187\", alpha=\"0.05\", expect_size=\"33913856\"] \n  28 -> 37 [size =\"33913856\"]\n  28 -> 39 [size =\"33913856\"]\n  28 -> 40 [size =\"33913856\"]\n  28 -> 43 [size =\"33913856\"]\n  28 -> 50 [size =\"33913856\"]\n  29 [size=\"158214827\", alpha=\"0.16\", expect_size=\"47464448\"] \n  29 -> 35 [size =\"47464448\"]\n  29 -> 37 [size =\"47464448\"]\n  29 -> 43 [size =\"47464448\"]\n  29 -> 45 [size =\"47464448\"]\n  29 -> 47 [size =\"47464448\"]\n  29 -> 50 [size =\"47464448\"]\n  30 [size=\"130085547\", alpha=\"0.12\", expect_size=\"39025664\"] \n  30 -> 37 [size =\"39025664\"]\n  30 -> 38 [size =\"39025664\"]\n  30 -> 50 [size =\"39025664\"]\n  31 [size=\"58733227\", alpha=\"0.11\", expect_size=\"17619968\"] \n  31 -> 35 [size =\"17619968\"]\n  31 -> 39 [size =\"17619968\"]\n  31 -> 44 [size =\"17619968\"]\n  31 -> 49 [size =\"17619968\"]\n  32 [size=\"84978347\", alpha=\"0.19\", expect_size=\"25493504\"] \n  32 -> 36 [size =\"25493504\"]\n  32 -> 38 [size =\"25493504\"]\n  32 -> 39 [size =\"25493504\"]\n  32 -> 47 [size =\"25493504\"]\n  33 [size=\"148264960\", alpha=\"0.01\", expect_size=\"44479488\"] \n  33 -> 35 [size =\"44479488\"]\n  33 -> 40 [size =\"44479488\"]\n  33 -> 41 [size =\"44479488\"]\n  33 -> 42 [size =\"44479488\"]\n  33 -> 46 [size =\"44479488\"]\n  33 -> 47 [size =\"44479488\"]\n  34 [size=\"34252800\", alpha=\"0.01\", expect_size=\"10275840\"] \n  34 -> 35 [size =\"10275840\"]\n  34 -> 41 [size =\"10275840\"]\n  34 -> 41 [size =\"10275840\"]\n  34 -> 47 [size =\"10275840\"]\n  34 -> 48 [size =\"10275840\"]\n  35 [size=\"31208107\", alpha=\"0.02\", expect_size=\"9362432\"] \n  36 [size=\"148732587\", alpha=\"0.02\", expect_size=\"44619776\"] \n  37 [size=\"128075093\", alpha=\"0.10\", expect_size=\"38422528\"] \n  38 [size=\"99676160\", alpha=\"0.01\", expect_size=\"29902848\"] \n  39 [size=\"140431360\", alpha=\"0.13\", expect_size=\"42129408\"] \n  40 [size=\"106185387\", alpha=\"0.06\", expect_size=\"31855616\"] \n  41 [size=\"43700907\", alpha=\"0.01\", expect_size=\"13110272\"] \n  42 [size=\"129122987\", alpha=\"0.07\", expect_size=\"38736896\"] \n  43 [size=\"124863147\", alpha=\"0.06\", expect_size=\"37458944\"] \n  44 [size=\"133089280\", alpha=\"0.08\", expect_size=\"39926784\"] \n  45 [size=\"142148267\", alpha=\"0.19\", expect_size=\"42644480\"] \n  46 [size=\"161720320\", alpha=\"0.12\", expect_size=\"48516096\"] \n  47 [size=\"22415360\", alpha=\"0.11\", expect_size=\"6724608\"] \n  48 [size=\"102946133\", alpha=\"0.02\", expect_size=\"30883840\"] \n  49 [size=\"108499627\", alpha=\"0.11\", expect_size=\"32549888\"] \n  50 [size=\"51623253\", alpha=\"0.15\", expect_size=\"15486976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154688853\", alpha=\"0.07\", expect_size=\"46406656\"] \n  1 -> 5 [size =\"46406656\"]\n  2 [size=\"133724160\", alpha=\"0.04\", expect_size=\"40117248\"] \n  2 -> 4 [size =\"40117248\"]\n  2 -> 5 [size =\"40117248\"]\n  3 [size=\"18804053\", alpha=\"0.15\", expect_size=\"5641216\"] \n  3 -> 5 [size =\"5641216\"]\n  4 [size=\"33409707\", alpha=\"0.01\", expect_size=\"10022912\"] \n  4 -> 6 [size =\"10022912\"]\n  4 -> 7 [size =\"10022912\"]\n  5 [size=\"53162667\", alpha=\"0.07\", expect_size=\"15948800\"] \n  5 -> 6 [size =\"15948800\"]\n  5 -> 7 [size =\"15948800\"]\n  6 [size=\"63597227\", alpha=\"0.06\", expect_size=\"19079168\"] \n  6 -> 8 [size =\"19079168\"]\n  6 -> 9 [size =\"19079168\"]\n  6 -> 10 [size =\"19079168\"]\n  7 [size=\"32969387\", alpha=\"0.07\", expect_size=\"9890816\"] \n  7 -> 9 [size =\"9890816\"]\n  8 [size=\"78554453\", alpha=\"0.13\", expect_size=\"23566336\"] \n  8 -> 11 [size =\"23566336\"]\n  8 -> 12 [size =\"23566336\"]\n  9 [size=\"28450133\", alpha=\"0.01\", expect_size=\"8535040\"] \n  9 -> 12 [size =\"8535040\"]\n  10 [size=\"106171733\", alpha=\"0.15\", expect_size=\"31851520\"] \n  10 -> 11 [size =\"31851520\"]\n  10 -> 12 [size =\"31851520\"]\n  11 [size=\"24726187\", alpha=\"0.06\", expect_size=\"7417856\"] \n  11 -> 13 [size =\"7417856\"]\n  12 [size=\"76072960\", alpha=\"0.14\", expect_size=\"22821888\"] \n  12 -> 13 [size =\"22821888\"]\n  12 -> 14 [size =\"22821888\"]\n  13 [size=\"106455040\", alpha=\"0.06\", expect_size=\"31936512\"] \n  13 -> 15 [size =\"31936512\"]\n  13 -> 16 [size =\"31936512\"]\n  13 -> 17 [size =\"31936512\"]\n  14 [size=\"64204800\", alpha=\"0.15\", expect_size=\"19261440\"] \n  14 -> 15 [size =\"19261440\"]\n  14 -> 16 [size =\"19261440\"]\n  14 -> 17 [size =\"19261440\"]\n  15 [size=\"73697280\", alpha=\"0.18\", expect_size=\"22109184\"] \n  15 -> 18 [size =\"22109184\"]\n  15 -> 19 [size =\"22109184\"]\n  16 [size=\"128157013\", alpha=\"0.17\", expect_size=\"38447104\"] \n  16 -> 18 [size =\"38447104\"]\n  16 -> 19 [size =\"38447104\"]\n  16 -> 20 [size =\"38447104\"]\n  17 [size=\"18295467\", alpha=\"0.12\", expect_size=\"5488640\"] \n  17 -> 19 [size =\"5488640\"]\n  18 [size=\"70301013\", alpha=\"0.04\", expect_size=\"21090304\"] \n  18 -> 21 [size =\"21090304\"]\n  18 -> 22 [size =\"21090304\"]\n  18 -> 23 [size =\"21090304\"]\n  19 [size=\"172520107\", alpha=\"0.16\", expect_size=\"51756032\"] \n  20 [size=\"20227413\", alpha=\"0.16\", expect_size=\"6068224\"] \n  20 -> 21 [size =\"6068224\"]\n  21 [size=\"134724267\", alpha=\"0.14\", expect_size=\"40417280\"] \n  21 -> 25 [size =\"40417280\"]\n  21 -> 26 [size =\"40417280\"]\n  21 -> 26 [size =\"40417280\"]\n  22 [size=\"28276053\", alpha=\"0.06\", expect_size=\"8482816\"] \n  22 -> 25 [size =\"8482816\"]\n  23 [size=\"136086187\", alpha=\"0.18\", expect_size=\"40825856\"] \n  23 -> 24 [size =\"40825856\"]\n  23 -> 25 [size =\"40825856\"]\n  23 -> 26 [size =\"40825856\"]\n  24 [size=\"27122347\", alpha=\"0.12\", expect_size=\"8136704\"] \n  24 -> 27 [size =\"8136704\"]\n  24 -> 28 [size =\"8136704\"]\n  25 [size=\"143923200\", alpha=\"0.11\", expect_size=\"43176960\"] \n  25 -> 27 [size =\"43176960\"]\n  25 -> 28 [size =\"43176960\"]\n  26 [size=\"129324373\", alpha=\"0.15\", expect_size=\"38797312\"] \n  26 -> 28 [size =\"38797312\"]\n  27 [size=\"107588267\", alpha=\"0.02\", expect_size=\"32276480\"] \n  27 -> 29 [size =\"32276480\"]\n  27 -> 30 [size =\"32276480\"]\n  28 [size=\"46469120\", alpha=\"0.16\", expect_size=\"13940736\"] \n  28 -> 29 [size =\"13940736\"]\n  28 -> 30 [size =\"13940736\"]\n  29 [size=\"77277867\", alpha=\"0.12\", expect_size=\"23183360\"] \n  29 -> 31 [size =\"23183360\"]\n  29 -> 32 [size =\"23183360\"]\n  29 -> 33 [size =\"23183360\"]\n  30 [size=\"49380693\", alpha=\"0.19\", expect_size=\"14814208\"] \n  30 -> 31 [size =\"14814208\"]\n  30 -> 32 [size =\"14814208\"]\n  31 [size=\"19950933\", alpha=\"0.07\", expect_size=\"5985280\"] \n  31 -> 34 [size =\"5985280\"]\n  31 -> 35 [size =\"5985280\"]\n  32 [size=\"126204587\", alpha=\"0.03\", expect_size=\"37861376\"] \n  32 -> 34 [size =\"37861376\"]\n  32 -> 35 [size =\"37861376\"]\n  33 [size=\"169816747\", alpha=\"0.09\", expect_size=\"50945024\"] \n  33 -> 34 [size =\"50945024\"]\n  33 -> 35 [size =\"50945024\"]\n  34 [size=\"152122027\", alpha=\"0.02\", expect_size=\"45636608\"] \n  34 -> 36 [size =\"45636608\"]\n  34 -> 37 [size =\"45636608\"]\n  35 [size=\"89053867\", alpha=\"0.02\", expect_size=\"26716160\"] \n  35 -> 36 [size =\"26716160\"]\n  35 -> 38 [size =\"26716160\"]\n  36 [size=\"173588480\", alpha=\"0.16\", expect_size=\"52076544\"] \n  36 -> 39 [size =\"52076544\"]\n  36 -> 40 [size =\"52076544\"]\n  37 [size=\"137277440\", alpha=\"0.10\", expect_size=\"41183232\"] \n  38 [size=\"152896853\", alpha=\"0.10\", expect_size=\"45869056\"] \n  39 [size=\"124241920\", alpha=\"0.11\", expect_size=\"37272576\"] \n  39 -> 42 [size =\"37272576\"]\n  40 [size=\"62286507\", alpha=\"0.12\", expect_size=\"18685952\"] \n  40 -> 41 [size =\"18685952\"]\n  40 -> 42 [size =\"18685952\"]\n  41 [size=\"55726080\", alpha=\"0.07\", expect_size=\"16717824\"] \n  41 -> 43 [size =\"16717824\"]\n  41 -> 44 [size =\"16717824\"]\n  42 [size=\"111813973\", alpha=\"0.04\", expect_size=\"33544192\"] \n  42 -> 43 [size =\"33544192\"]\n  42 -> 44 [size =\"33544192\"]\n  43 [size=\"131860480\", alpha=\"0.17\", expect_size=\"39558144\"] \n  43 -> 45 [size =\"39558144\"]\n  44 [size=\"47557973\", alpha=\"0.10\", expect_size=\"14267392\"] \n  44 -> 46 [size =\"14267392\"]\n  45 [size=\"62924800\", alpha=\"0.19\", expect_size=\"18877440\"] \n  45 -> 47 [size =\"18877440\"]\n  45 -> 48 [size =\"18877440\"]\n  45 -> 49 [size =\"18877440\"]\n  46 [size=\"76898987\", alpha=\"0.03\", expect_size=\"23069696\"] \n  46 -> 48 [size =\"23069696\"]\n  47 [size=\"42878293\", alpha=\"0.18\", expect_size=\"12863488\"] \n  47 -> 50 [size =\"12863488\"]\n  48 [size=\"118964907\", alpha=\"0.17\", expect_size=\"35689472\"] \n  48 -> 50 [size =\"35689472\"]\n  49 [size=\"43414187\", alpha=\"0.03\", expect_size=\"13024256\"] \n  49 -> 50 [size =\"13024256\"]\n  50 [size=\"128563200\", alpha=\"0.14\", expect_size=\"38568960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.480.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54466560\", alpha=\"0.16\", expect_size=\"16339968\"] \n  1 -> 35 [size =\"16339968\"]\n  1 -> 38 [size =\"16339968\"]\n  1 -> 45 [size =\"16339968\"]\n  2 [size=\"91521707\", alpha=\"0.15\", expect_size=\"27456512\"] \n  2 -> 33 [size =\"27456512\"]\n  2 -> 38 [size =\"27456512\"]\n  2 -> 40 [size =\"27456512\"]\n  2 -> 41 [size =\"27456512\"]\n  2 -> 43 [size =\"27456512\"]\n  2 -> 46 [size =\"27456512\"]\n  2 -> 49 [size =\"27456512\"]\n  3 [size=\"147848533\", alpha=\"0.04\", expect_size=\"44354560\"] \n  3 -> 38 [size =\"44354560\"]\n  3 -> 40 [size =\"44354560\"]\n  3 -> 43 [size =\"44354560\"]\n  3 -> 46 [size =\"44354560\"]\n  3 -> 49 [size =\"44354560\"]\n  4 [size=\"84019200\", alpha=\"0.16\", expect_size=\"25205760\"] \n  4 -> 43 [size =\"25205760\"]\n  4 -> 44 [size =\"25205760\"]\n  4 -> 47 [size =\"25205760\"]\n  4 -> 50 [size =\"25205760\"]\n  5 [size=\"113889280\", alpha=\"0.14\", expect_size=\"34166784\"] \n  5 -> 34 [size =\"34166784\"]\n  5 -> 39 [size =\"34166784\"]\n  5 -> 40 [size =\"34166784\"]\n  5 -> 42 [size =\"34166784\"]\n  5 -> 43 [size =\"34166784\"]\n  5 -> 46 [size =\"34166784\"]\n  5 -> 47 [size =\"34166784\"]\n  6 [size=\"75267413\", alpha=\"0.06\", expect_size=\"22580224\"] \n  6 -> 33 [size =\"22580224\"]\n  6 -> 35 [size =\"22580224\"]\n  6 -> 39 [size =\"22580224\"]\n  6 -> 43 [size =\"22580224\"]\n  6 -> 50 [size =\"22580224\"]\n  7 [size=\"102993920\", alpha=\"0.13\", expect_size=\"30898176\"] \n  7 -> 33 [size =\"30898176\"]\n  7 -> 34 [size =\"30898176\"]\n  7 -> 39 [size =\"30898176\"]\n  7 -> 40 [size =\"30898176\"]\n  7 -> 46 [size =\"30898176\"]\n  8 [size=\"21609813\", alpha=\"0.06\", expect_size=\"6482944\"] \n  8 -> 41 [size =\"6482944\"]\n  8 -> 43 [size =\"6482944\"]\n  8 -> 45 [size =\"6482944\"]\n  8 -> 46 [size =\"6482944\"]\n  9 [size=\"70021120\", alpha=\"0.08\", expect_size=\"21006336\"] \n  9 -> 34 [size =\"21006336\"]\n  9 -> 38 [size =\"21006336\"]\n  9 -> 44 [size =\"21006336\"]\n  9 -> 50 [size =\"21006336\"]\n  10 [size=\"150261760\", alpha=\"0.17\", expect_size=\"45078528\"] \n  10 -> 35 [size =\"45078528\"]\n  10 -> 38 [size =\"45078528\"]\n  10 -> 39 [size =\"45078528\"]\n  10 -> 40 [size =\"45078528\"]\n  10 -> 46 [size =\"45078528\"]\n  10 -> 50 [size =\"45078528\"]\n  11 [size=\"135475200\", alpha=\"0.01\", expect_size=\"40642560\"] \n  11 -> 38 [size =\"40642560\"]\n  11 -> 42 [size =\"40642560\"]\n  11 -> 44 [size =\"40642560\"]\n  11 -> 45 [size =\"40642560\"]\n  11 -> 48 [size =\"40642560\"]\n  11 -> 50 [size =\"40642560\"]\n  12 [size=\"103724373\", alpha=\"0.03\", expect_size=\"31117312\"] \n  12 -> 35 [size =\"31117312\"]\n  12 -> 37 [size =\"31117312\"]\n  12 -> 39 [size =\"31117312\"]\n  12 -> 40 [size =\"31117312\"]\n  12 -> 44 [size =\"31117312\"]\n  13 [size=\"66966187\", alpha=\"0.02\", expect_size=\"20089856\"] \n  13 -> 33 [size =\"20089856\"]\n  13 -> 35 [size =\"20089856\"]\n  13 -> 37 [size =\"20089856\"]\n  13 -> 44 [size =\"20089856\"]\n  13 -> 47 [size =\"20089856\"]\n  14 [size=\"101229227\", alpha=\"0.19\", expect_size=\"30368768\"] \n  14 -> 33 [size =\"30368768\"]\n  14 -> 34 [size =\"30368768\"]\n  14 -> 40 [size =\"30368768\"]\n  14 -> 41 [size =\"30368768\"]\n  14 -> 45 [size =\"30368768\"]\n  14 -> 48 [size =\"30368768\"]\n  14 -> 50 [size =\"30368768\"]\n  15 [size=\"68747947\", alpha=\"0.15\", expect_size=\"20624384\"] \n  15 -> 40 [size =\"20624384\"]\n  15 -> 43 [size =\"20624384\"]\n  15 -> 47 [size =\"20624384\"]\n  16 [size=\"19920213\", alpha=\"0.07\", expect_size=\"5976064\"] \n  16 -> 33 [size =\"5976064\"]\n  16 -> 34 [size =\"5976064\"]\n  17 [size=\"67857067\", alpha=\"0.11\", expect_size=\"20357120\"] \n  17 -> 33 [size =\"20357120\"]\n  17 -> 40 [size =\"20357120\"]\n  17 -> 43 [size =\"20357120\"]\n  17 -> 44 [size =\"20357120\"]\n  17 -> 48 [size =\"20357120\"]\n  18 [size=\"169649493\", alpha=\"0.17\", expect_size=\"50894848\"] \n  18 -> 33 [size =\"50894848\"]\n  18 -> 34 [size =\"50894848\"]\n  18 -> 40 [size =\"50894848\"]\n  18 -> 43 [size =\"50894848\"]\n  18 -> 44 [size =\"50894848\"]\n  18 -> 45 [size =\"50894848\"]\n  18 -> 49 [size =\"50894848\"]\n  19 [size=\"58627413\", alpha=\"0.11\", expect_size=\"17588224\"] \n  19 -> 33 [size =\"17588224\"]\n  19 -> 39 [size =\"17588224\"]\n  19 -> 40 [size =\"17588224\"]\n  20 [size=\"122583040\", alpha=\"0.01\", expect_size=\"36774912\"] \n  20 -> 33 [size =\"36774912\"]\n  20 -> 34 [size =\"36774912\"]\n  20 -> 35 [size =\"36774912\"]\n  20 -> 36 [size =\"36774912\"]\n  20 -> 40 [size =\"36774912\"]\n  20 -> 41 [size =\"36774912\"]\n  20 -> 46 [size =\"36774912\"]\n  20 -> 47 [size =\"36774912\"]\n  20 -> 50 [size =\"36774912\"]\n  21 [size=\"98088960\", alpha=\"0.16\", expect_size=\"29426688\"] \n  21 -> 33 [size =\"29426688\"]\n  21 -> 35 [size =\"29426688\"]\n  21 -> 40 [size =\"29426688\"]\n  21 -> 41 [size =\"29426688\"]\n  21 -> 46 [size =\"29426688\"]\n  21 -> 48 [size =\"29426688\"]\n  22 [size=\"105311573\", alpha=\"0.01\", expect_size=\"31593472\"] \n  22 -> 35 [size =\"31593472\"]\n  22 -> 36 [size =\"31593472\"]\n  22 -> 40 [size =\"31593472\"]\n  22 -> 41 [size =\"31593472\"]\n  22 -> 46 [size =\"31593472\"]\n  22 -> 47 [size =\"31593472\"]\n  22 -> 48 [size =\"31593472\"]\n  22 -> 49 [size =\"31593472\"]\n  23 [size=\"130877440\", alpha=\"0.02\", expect_size=\"39263232\"] \n  23 -> 35 [size =\"39263232\"]\n  23 -> 40 [size =\"39263232\"]\n  23 -> 42 [size =\"39263232\"]\n  23 -> 46 [size =\"39263232\"]\n  23 -> 48 [size =\"39263232\"]\n  24 [size=\"143786667\", alpha=\"0.12\", expect_size=\"43136000\"] \n  24 -> 33 [size =\"43136000\"]\n  24 -> 45 [size =\"43136000\"]\n  24 -> 46 [size =\"43136000\"]\n  24 -> 46 [size =\"43136000\"]\n  24 -> 48 [size =\"43136000\"]\n  24 -> 49 [size =\"43136000\"]\n  25 [size=\"138639360\", alpha=\"0.14\", expect_size=\"41591808\"] \n  25 -> 34 [size =\"41591808\"]\n  25 -> 37 [size =\"41591808\"]\n  25 -> 40 [size =\"41591808\"]\n  25 -> 43 [size =\"41591808\"]\n  25 -> 46 [size =\"41591808\"]\n  25 -> 47 [size =\"41591808\"]\n  25 -> 50 [size =\"41591808\"]\n  26 [size=\"97112747\", alpha=\"0.03\", expect_size=\"29133824\"] \n  26 -> 35 [size =\"29133824\"]\n  26 -> 38 [size =\"29133824\"]\n  26 -> 40 [size =\"29133824\"]\n  26 -> 42 [size =\"29133824\"]\n  26 -> 46 [size =\"29133824\"]\n  27 [size=\"149428907\", alpha=\"0.03\", expect_size=\"44828672\"] \n  27 -> 33 [size =\"44828672\"]\n  27 -> 38 [size =\"44828672\"]\n  27 -> 40 [size =\"44828672\"]\n  27 -> 41 [size =\"44828672\"]\n  27 -> 43 [size =\"44828672\"]\n  27 -> 44 [size =\"44828672\"]\n  27 -> 47 [size =\"44828672\"]\n  27 -> 48 [size =\"44828672\"]\n  28 [size=\"78789973\", alpha=\"0.04\", expect_size=\"23636992\"] \n  28 -> 33 [size =\"23636992\"]\n  28 -> 34 [size =\"23636992\"]\n  28 -> 35 [size =\"23636992\"]\n  28 -> 38 [size =\"23636992\"]\n  28 -> 48 [size =\"23636992\"]\n  29 [size=\"52022613\", alpha=\"0.11\", expect_size=\"15606784\"] \n  29 -> 35 [size =\"15606784\"]\n  29 -> 38 [size =\"15606784\"]\n  29 -> 40 [size =\"15606784\"]\n  29 -> 48 [size =\"15606784\"]\n  30 [size=\"136475307\", alpha=\"0.16\", expect_size=\"40942592\"] \n  30 -> 33 [size =\"40942592\"]\n  30 -> 34 [size =\"40942592\"]\n  30 -> 35 [size =\"40942592\"]\n  30 -> 38 [size =\"40942592\"]\n  30 -> 39 [size =\"40942592\"]\n  30 -> 41 [size =\"40942592\"]\n  30 -> 45 [size =\"40942592\"]\n  30 -> 46 [size =\"40942592\"]\n  31 [size=\"146227200\", alpha=\"0.15\", expect_size=\"43868160\"] \n  31 -> 33 [size =\"43868160\"]\n  31 -> 34 [size =\"43868160\"]\n  31 -> 35 [size =\"43868160\"]\n  31 -> 38 [size =\"43868160\"]\n  31 -> 39 [size =\"43868160\"]\n  31 -> 48 [size =\"43868160\"]\n  32 [size=\"118268587\", alpha=\"0.05\", expect_size=\"35480576\"] \n  32 -> 33 [size =\"35480576\"]\n  32 -> 38 [size =\"35480576\"]\n  32 -> 39 [size =\"35480576\"]\n  32 -> 43 [size =\"35480576\"]\n  32 -> 44 [size =\"35480576\"]\n  32 -> 50 [size =\"35480576\"]\n  33 [size=\"126644907\", alpha=\"0.01\", expect_size=\"37993472\"] \n  34 [size=\"144445440\", alpha=\"0.09\", expect_size=\"43333632\"] \n  35 [size=\"80930133\", alpha=\"0.02\", expect_size=\"24279040\"] \n  36 [size=\"32512000\", alpha=\"0.16\", expect_size=\"9753600\"] \n  37 [size=\"56982187\", alpha=\"0.17\", expect_size=\"17094656\"] \n  38 [size=\"82575360\", alpha=\"0.16\", expect_size=\"24772608\"] \n  39 [size=\"113425067\", alpha=\"0.01\", expect_size=\"34027520\"] \n  40 [size=\"44793173\", alpha=\"0.20\", expect_size=\"13437952\"] \n  41 [size=\"166754987\", alpha=\"0.08\", expect_size=\"50026496\"] \n  42 [size=\"125450240\", alpha=\"0.08\", expect_size=\"37635072\"] \n  43 [size=\"164410027\", alpha=\"0.02\", expect_size=\"49323008\"] \n  44 [size=\"18558293\", alpha=\"0.12\", expect_size=\"5567488\"] \n  45 [size=\"86217387\", alpha=\"0.18\", expect_size=\"25865216\"] \n  46 [size=\"104089600\", alpha=\"0.14\", expect_size=\"31226880\"] \n  47 [size=\"74618880\", alpha=\"0.06\", expect_size=\"22385664\"] \n  48 [size=\"48189440\", alpha=\"0.07\", expect_size=\"14456832\"] \n  49 [size=\"19688107\", alpha=\"0.11\", expect_size=\"5906432\"] \n  50 [size=\"30266027\", alpha=\"0.11\", expect_size=\"9079808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.481.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105018027\", alpha=\"0.14\", expect_size=\"31505408\"] \n  1 -> 2 [size =\"31505408\"]\n  2 [size=\"113527467\", alpha=\"0.08\", expect_size=\"34058240\"] \n  2 -> 3 [size =\"34058240\"]\n  3 [size=\"153412267\", alpha=\"0.00\", expect_size=\"46023680\"] \n  3 -> 4 [size =\"46023680\"]\n  4 [size=\"167854080\", alpha=\"0.05\", expect_size=\"50356224\"] \n  4 -> 5 [size =\"50356224\"]\n  5 [size=\"127767893\", alpha=\"0.07\", expect_size=\"38330368\"] \n  5 -> 6 [size =\"38330368\"]\n  6 [size=\"62593707\", alpha=\"0.17\", expect_size=\"18778112\"] \n  6 -> 7 [size =\"18778112\"]\n  7 [size=\"50391040\", alpha=\"0.16\", expect_size=\"15117312\"] \n  7 -> 8 [size =\"15117312\"]\n  8 [size=\"51804160\", alpha=\"0.19\", expect_size=\"15541248\"] \n  8 -> 9 [size =\"15541248\"]\n  9 [size=\"82298880\", alpha=\"0.15\", expect_size=\"24689664\"] \n  9 -> 10 [size =\"24689664\"]\n  10 [size=\"63170560\", alpha=\"0.19\", expect_size=\"18951168\"] \n  10 -> 11 [size =\"18951168\"]\n  11 [size=\"119371093\", alpha=\"0.06\", expect_size=\"35811328\"] \n  11 -> 12 [size =\"35811328\"]\n  12 [size=\"68928853\", alpha=\"0.19\", expect_size=\"20678656\"] \n  12 -> 13 [size =\"20678656\"]\n  13 [size=\"133720747\", alpha=\"0.07\", expect_size=\"40116224\"] \n  13 -> 14 [size =\"40116224\"]\n  14 [size=\"134324907\", alpha=\"0.04\", expect_size=\"40297472\"] \n  14 -> 15 [size =\"40297472\"]\n  15 [size=\"174271147\", alpha=\"0.16\", expect_size=\"52281344\"] \n  15 -> 16 [size =\"52281344\"]\n  16 [size=\"71075840\", alpha=\"0.05\", expect_size=\"21322752\"] \n  16 -> 17 [size =\"21322752\"]\n  17 [size=\"46786560\", alpha=\"0.19\", expect_size=\"14035968\"] \n  17 -> 18 [size =\"14035968\"]\n  18 [size=\"170533547\", alpha=\"0.03\", expect_size=\"51160064\"] \n  18 -> 19 [size =\"51160064\"]\n  19 [size=\"166543360\", alpha=\"0.04\", expect_size=\"49963008\"] \n  19 -> 20 [size =\"49963008\"]\n  20 [size=\"128634880\", alpha=\"0.03\", expect_size=\"38590464\"] \n  20 -> 21 [size =\"38590464\"]\n  21 [size=\"119197013\", alpha=\"0.13\", expect_size=\"35759104\"] \n  21 -> 22 [size =\"35759104\"]\n  22 [size=\"168089600\", alpha=\"0.16\", expect_size=\"50426880\"] \n  22 -> 23 [size =\"50426880\"]\n  23 [size=\"160593920\", alpha=\"0.16\", expect_size=\"48178176\"] \n  23 -> 24 [size =\"48178176\"]\n  24 [size=\"58446507\", alpha=\"0.15\", expect_size=\"17533952\"] \n  24 -> 25 [size =\"17533952\"]\n  25 [size=\"93812053\", alpha=\"0.08\", expect_size=\"28143616\"] \n  25 -> 26 [size =\"28143616\"]\n  26 [size=\"63709867\", alpha=\"0.07\", expect_size=\"19112960\"] \n  26 -> 27 [size =\"19112960\"]\n  27 [size=\"106093227\", alpha=\"0.10\", expect_size=\"31827968\"] \n  27 -> 28 [size =\"31827968\"]\n  28 [size=\"100631893\", alpha=\"0.18\", expect_size=\"30189568\"] \n  28 -> 29 [size =\"30189568\"]\n  29 [size=\"121784320\", alpha=\"0.13\", expect_size=\"36535296\"] \n  29 -> 30 [size =\"36535296\"]\n  30 [size=\"149439147\", alpha=\"0.15\", expect_size=\"44831744\"] \n  30 -> 31 [size =\"44831744\"]\n  31 [size=\"172049067\", alpha=\"0.09\", expect_size=\"51614720\"] \n  31 -> 32 [size =\"51614720\"]\n  32 [size=\"119869440\", alpha=\"0.10\", expect_size=\"35960832\"] \n  32 -> 33 [size =\"35960832\"]\n  33 [size=\"88951467\", alpha=\"0.06\", expect_size=\"26685440\"] \n  33 -> 34 [size =\"26685440\"]\n  34 [size=\"57951573\", alpha=\"0.17\", expect_size=\"17385472\"] \n  34 -> 35 [size =\"17385472\"]\n  35 [size=\"19957760\", alpha=\"0.07\", expect_size=\"5987328\"] \n  35 -> 36 [size =\"5987328\"]\n  36 [size=\"85265067\", alpha=\"0.05\", expect_size=\"25579520\"] \n  36 -> 37 [size =\"25579520\"]\n  37 [size=\"141704533\", alpha=\"0.06\", expect_size=\"42511360\"] \n  37 -> 38 [size =\"42511360\"]\n  38 [size=\"64911360\", alpha=\"0.06\", expect_size=\"19473408\"] \n  38 -> 39 [size =\"19473408\"]\n  39 [size=\"46493013\", alpha=\"0.06\", expect_size=\"13947904\"] \n  39 -> 40 [size =\"13947904\"]\n  40 [size=\"151278933\", alpha=\"0.19\", expect_size=\"45383680\"] \n  40 -> 41 [size =\"45383680\"]\n  41 [size=\"110394027\", alpha=\"0.06\", expect_size=\"33118208\"] \n  41 -> 42 [size =\"33118208\"]\n  42 [size=\"25729707\", alpha=\"0.12\", expect_size=\"7718912\"] \n  42 -> 43 [size =\"7718912\"]\n  43 [size=\"106028373\", alpha=\"0.16\", expect_size=\"31808512\"] \n  43 -> 44 [size =\"31808512\"]\n  44 [size=\"152968533\", alpha=\"0.05\", expect_size=\"45890560\"] \n  44 -> 45 [size =\"45890560\"]\n  45 [size=\"126109013\", alpha=\"0.04\", expect_size=\"37832704\"] \n  45 -> 46 [size =\"37832704\"]\n  46 [size=\"24958293\", alpha=\"0.08\", expect_size=\"7487488\"] \n  46 -> 47 [size =\"7487488\"]\n  47 [size=\"60409173\", alpha=\"0.04\", expect_size=\"18122752\"] \n  47 -> 48 [size =\"18122752\"]\n  48 [size=\"104482133\", alpha=\"0.11\", expect_size=\"31344640\"] \n  48 -> 49 [size =\"31344640\"]\n  49 [size=\"152954880\", alpha=\"0.11\", expect_size=\"45886464\"] \n  49 -> 50 [size =\"45886464\"]\n  50 [size=\"40314880\", alpha=\"0.07\", expect_size=\"12094464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.482.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"149548373\", alpha=\"0.03\", expect_size=\"44864512\"] \n  1 -> 17 [size =\"44864512\"]\n  1 -> 18 [size =\"44864512\"]\n  1 -> 22 [size =\"44864512\"]\n  1 -> 25 [size =\"44864512\"]\n  1 -> 26 [size =\"44864512\"]\n  1 -> 27 [size =\"44864512\"]\n  2 [size=\"70215680\", alpha=\"0.10\", expect_size=\"21064704\"] \n  2 -> 17 [size =\"21064704\"]\n  2 -> 19 [size =\"21064704\"]\n  2 -> 23 [size =\"21064704\"]\n  2 -> 25 [size =\"21064704\"]\n  2 -> 26 [size =\"21064704\"]\n  2 -> 30 [size =\"21064704\"]\n  3 [size=\"141509973\", alpha=\"0.14\", expect_size=\"42452992\"] \n  3 -> 17 [size =\"42452992\"]\n  3 -> 19 [size =\"42452992\"]\n  3 -> 23 [size =\"42452992\"]\n  3 -> 26 [size =\"42452992\"]\n  3 -> 26 [size =\"42452992\"]\n  3 -> 28 [size =\"42452992\"]\n  4 [size=\"42820267\", alpha=\"0.10\", expect_size=\"12846080\"] \n  4 -> 17 [size =\"12846080\"]\n  4 -> 22 [size =\"12846080\"]\n  4 -> 24 [size =\"12846080\"]\n  4 -> 26 [size =\"12846080\"]\n  5 [size=\"169567573\", alpha=\"0.19\", expect_size=\"50870272\"] \n  5 -> 25 [size =\"50870272\"]\n  5 -> 26 [size =\"50870272\"]\n  5 -> 29 [size =\"50870272\"]\n  6 [size=\"87476907\", alpha=\"0.07\", expect_size=\"26243072\"] \n  6 -> 20 [size =\"26243072\"]\n  6 -> 23 [size =\"26243072\"]\n  6 -> 25 [size =\"26243072\"]\n  6 -> 26 [size =\"26243072\"]\n  6 -> 29 [size =\"26243072\"]\n  6 -> 30 [size =\"26243072\"]\n  7 [size=\"29385387\", alpha=\"0.08\", expect_size=\"8815616\"] \n  7 -> 17 [size =\"8815616\"]\n  7 -> 19 [size =\"8815616\"]\n  7 -> 20 [size =\"8815616\"]\n  7 -> 21 [size =\"8815616\"]\n  7 -> 22 [size =\"8815616\"]\n  7 -> 26 [size =\"8815616\"]\n  7 -> 27 [size =\"8815616\"]\n  7 -> 29 [size =\"8815616\"]\n  7 -> 30 [size =\"8815616\"]\n  8 [size=\"42625707\", alpha=\"0.12\", expect_size=\"12787712\"] \n  8 -> 21 [size =\"12787712\"]\n  8 -> 23 [size =\"12787712\"]\n  8 -> 28 [size =\"12787712\"]\n  8 -> 30 [size =\"12787712\"]\n  9 [size=\"28026880\", alpha=\"0.17\", expect_size=\"8408064\"] \n  9 -> 17 [size =\"8408064\"]\n  9 -> 22 [size =\"8408064\"]\n  9 -> 23 [size =\"8408064\"]\n  9 -> 26 [size =\"8408064\"]\n  9 -> 30 [size =\"8408064\"]\n  10 [size=\"19961173\", alpha=\"0.14\", expect_size=\"5988352\"] \n  10 -> 17 [size =\"5988352\"]\n  10 -> 23 [size =\"5988352\"]\n  10 -> 26 [size =\"5988352\"]\n  10 -> 29 [size =\"5988352\"]\n  11 [size=\"168669867\", alpha=\"0.05\", expect_size=\"50600960\"] \n  11 -> 17 [size =\"50600960\"]\n  11 -> 20 [size =\"50600960\"]\n  11 -> 22 [size =\"50600960\"]\n  11 -> 25 [size =\"50600960\"]\n  11 -> 29 [size =\"50600960\"]\n  12 [size=\"34590720\", alpha=\"0.14\", expect_size=\"10377216\"] \n  12 -> 20 [size =\"10377216\"]\n  12 -> 23 [size =\"10377216\"]\n  12 -> 29 [size =\"10377216\"]\n  12 -> 30 [size =\"10377216\"]\n  13 [size=\"115899733\", alpha=\"0.06\", expect_size=\"34769920\"] \n  13 -> 17 [size =\"34769920\"]\n  13 -> 20 [size =\"34769920\"]\n  13 -> 23 [size =\"34769920\"]\n  13 -> 25 [size =\"34769920\"]\n  13 -> 27 [size =\"34769920\"]\n  14 [size=\"68751360\", alpha=\"0.07\", expect_size=\"20625408\"] \n  14 -> 21 [size =\"20625408\"]\n  14 -> 22 [size =\"20625408\"]\n  14 -> 23 [size =\"20625408\"]\n  14 -> 27 [size =\"20625408\"]\n  14 -> 27 [size =\"20625408\"]\n  15 [size=\"146380800\", alpha=\"0.11\", expect_size=\"43914240\"] \n  15 -> 17 [size =\"43914240\"]\n  15 -> 23 [size =\"43914240\"]\n  15 -> 25 [size =\"43914240\"]\n  15 -> 28 [size =\"43914240\"]\n  16 [size=\"139868160\", alpha=\"0.03\", expect_size=\"41960448\"] \n  16 -> 17 [size =\"41960448\"]\n  16 -> 24 [size =\"41960448\"]\n  16 -> 26 [size =\"41960448\"]\n  16 -> 28 [size =\"41960448\"]\n  17 [size=\"39164587\", alpha=\"0.05\", expect_size=\"11749376\"] \n  17 -> 39 [size =\"11749376\"]\n  17 -> 46 [size =\"11749376\"]\n  18 [size=\"102215680\", alpha=\"0.12\", expect_size=\"30664704\"] \n  18 -> 33 [size =\"30664704\"]\n  18 -> 34 [size =\"30664704\"]\n  18 -> 39 [size =\"30664704\"]\n  18 -> 40 [size =\"30664704\"]\n  18 -> 41 [size =\"30664704\"]\n  18 -> 45 [size =\"30664704\"]\n  19 [size=\"38307840\", alpha=\"0.13\", expect_size=\"11492352\"] \n  19 -> 33 [size =\"11492352\"]\n  19 -> 40 [size =\"11492352\"]\n  19 -> 42 [size =\"11492352\"]\n  20 [size=\"173448533\", alpha=\"0.00\", expect_size=\"52034560\"] \n  20 -> 32 [size =\"52034560\"]\n  20 -> 33 [size =\"52034560\"]\n  20 -> 36 [size =\"52034560\"]\n  20 -> 40 [size =\"52034560\"]\n  21 [size=\"128993280\", alpha=\"0.04\", expect_size=\"38697984\"] \n  21 -> 33 [size =\"38697984\"]\n  21 -> 38 [size =\"38697984\"]\n  21 -> 39 [size =\"38697984\"]\n  21 -> 40 [size =\"38697984\"]\n  21 -> 41 [size =\"38697984\"]\n  21 -> 43 [size =\"38697984\"]\n  21 -> 45 [size =\"38697984\"]\n  22 [size=\"166615040\", alpha=\"0.15\", expect_size=\"49984512\"] \n  22 -> 31 [size =\"49984512\"]\n  22 -> 33 [size =\"49984512\"]\n  22 -> 38 [size =\"49984512\"]\n  22 -> 39 [size =\"49984512\"]\n  22 -> 40 [size =\"49984512\"]\n  23 [size=\"121442987\", alpha=\"0.01\", expect_size=\"36432896\"] \n  23 -> 33 [size =\"36432896\"]\n  23 -> 35 [size =\"36432896\"]\n  23 -> 40 [size =\"36432896\"]\n  23 -> 41 [size =\"36432896\"]\n  23 -> 43 [size =\"36432896\"]\n  23 -> 46 [size =\"36432896\"]\n  24 [size=\"164952747\", alpha=\"0.11\", expect_size=\"49485824\"] \n  24 -> 33 [size =\"49485824\"]\n  24 -> 40 [size =\"49485824\"]\n  24 -> 44 [size =\"49485824\"]\n  25 [size=\"61088427\", alpha=\"0.00\", expect_size=\"18326528\"] \n  25 -> 32 [size =\"18326528\"]\n  25 -> 35 [size =\"18326528\"]\n  25 -> 40 [size =\"18326528\"]\n  25 -> 45 [size =\"18326528\"]\n  26 [size=\"150312960\", alpha=\"0.18\", expect_size=\"45093888\"] \n  26 -> 35 [size =\"45093888\"]\n  26 -> 39 [size =\"45093888\"]\n  26 -> 40 [size =\"45093888\"]\n  27 [size=\"170704213\", alpha=\"0.18\", expect_size=\"51211264\"] \n  27 -> 34 [size =\"51211264\"]\n  27 -> 35 [size =\"51211264\"]\n  27 -> 36 [size =\"51211264\"]\n  27 -> 37 [size =\"51211264\"]\n  27 -> 38 [size =\"51211264\"]\n  27 -> 39 [size =\"51211264\"]\n  27 -> 40 [size =\"51211264\"]\n  27 -> 41 [size =\"51211264\"]\n  27 -> 45 [size =\"51211264\"]\n  27 -> 46 [size =\"51211264\"]\n  28 [size=\"55548587\", alpha=\"0.00\", expect_size=\"16664576\"] \n  28 -> 38 [size =\"16664576\"]\n  28 -> 39 [size =\"16664576\"]\n  28 -> 46 [size =\"16664576\"]\n  29 [size=\"147824640\", alpha=\"0.04\", expect_size=\"44347392\"] \n  29 -> 33 [size =\"44347392\"]\n  29 -> 38 [size =\"44347392\"]\n  29 -> 39 [size =\"44347392\"]\n  29 -> 45 [size =\"44347392\"]\n  29 -> 46 [size =\"44347392\"]\n  30 [size=\"92265813\", alpha=\"0.08\", expect_size=\"27679744\"] \n  30 -> 31 [size =\"27679744\"]\n  30 -> 35 [size =\"27679744\"]\n  30 -> 38 [size =\"27679744\"]\n  30 -> 39 [size =\"27679744\"]\n  30 -> 41 [size =\"27679744\"]\n  31 [size=\"93409280\", alpha=\"0.12\", expect_size=\"28022784\"] \n  31 -> 49 [size =\"28022784\"]\n  31 -> 50 [size =\"28022784\"]\n  32 [size=\"126040747\", alpha=\"0.18\", expect_size=\"37812224\"] \n  32 -> 47 [size =\"37812224\"]\n  32 -> 48 [size =\"37812224\"]\n  32 -> 50 [size =\"37812224\"]\n  33 [size=\"85616640\", alpha=\"0.16\", expect_size=\"25684992\"] \n  33 -> 48 [size =\"25684992\"]\n  34 [size=\"96174080\", alpha=\"0.01\", expect_size=\"28852224\"] \n  34 -> 47 [size =\"28852224\"]\n  34 -> 50 [size =\"28852224\"]\n  35 [size=\"25774080\", alpha=\"0.02\", expect_size=\"7732224\"] \n  35 -> 48 [size =\"7732224\"]\n  35 -> 50 [size =\"7732224\"]\n  36 [size=\"26504533\", alpha=\"0.19\", expect_size=\"7951360\"] \n  36 -> 48 [size =\"7951360\"]\n  36 -> 50 [size =\"7951360\"]\n  37 [size=\"168376320\", alpha=\"0.18\", expect_size=\"50512896\"] \n  38 [size=\"148722347\", alpha=\"0.08\", expect_size=\"44616704\"] \n  38 -> 47 [size =\"44616704\"]\n  39 [size=\"149981867\", alpha=\"0.01\", expect_size=\"44994560\"] \n  39 -> 47 [size =\"44994560\"]\n  39 -> 50 [size =\"44994560\"]\n  40 [size=\"25422507\", alpha=\"0.14\", expect_size=\"7626752\"] \n  40 -> 48 [size =\"7626752\"]\n  41 [size=\"92101973\", alpha=\"0.01\", expect_size=\"27630592\"] \n  41 -> 50 [size =\"27630592\"]\n  42 [size=\"29364907\", alpha=\"0.07\", expect_size=\"8809472\"] \n  42 -> 47 [size =\"8809472\"]\n  42 -> 48 [size =\"8809472\"]\n  42 -> 49 [size =\"8809472\"]\n  42 -> 50 [size =\"8809472\"]\n  43 [size=\"168891733\", alpha=\"0.06\", expect_size=\"50667520\"] \n  43 -> 47 [size =\"50667520\"]\n  43 -> 48 [size =\"50667520\"]\n  43 -> 50 [size =\"50667520\"]\n  44 [size=\"137253547\", alpha=\"0.04\", expect_size=\"41176064\"] \n  44 -> 48 [size =\"41176064\"]\n  44 -> 49 [size =\"41176064\"]\n  44 -> 50 [size =\"41176064\"]\n  45 [size=\"143011840\", alpha=\"0.07\", expect_size=\"42903552\"] \n  45 -> 48 [size =\"42903552\"]\n  46 [size=\"157784747\", alpha=\"0.07\", expect_size=\"47335424\"] \n  46 -> 48 [size =\"47335424\"]\n  46 -> 50 [size =\"47335424\"]\n  47 [size=\"146677760\", alpha=\"0.07\", expect_size=\"44003328\"] \n  48 [size=\"131386027\", alpha=\"0.12\", expect_size=\"39415808\"] \n  49 [size=\"39362560\", alpha=\"0.13\", expect_size=\"11808768\"] \n  50 [size=\"48725333\", alpha=\"0.04\", expect_size=\"14617600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.483.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18295467\", alpha=\"0.19\", expect_size=\"5488640\"] \n  1 -> 16 [size =\"5488640\"]\n  1 -> 20 [size =\"5488640\"]\n  1 -> 21 [size =\"5488640\"]\n  1 -> 24 [size =\"5488640\"]\n  1 -> 25 [size =\"5488640\"]\n  1 -> 26 [size =\"5488640\"]\n  1 -> 28 [size =\"5488640\"]\n  1 -> 29 [size =\"5488640\"]\n  2 [size=\"65460907\", alpha=\"0.09\", expect_size=\"19638272\"] \n  2 -> 17 [size =\"19638272\"]\n  2 -> 19 [size =\"19638272\"]\n  2 -> 24 [size =\"19638272\"]\n  2 -> 25 [size =\"19638272\"]\n  2 -> 25 [size =\"19638272\"]\n  2 -> 27 [size =\"19638272\"]\n  2 -> 28 [size =\"19638272\"]\n  2 -> 29 [size =\"19638272\"]\n  3 [size=\"69331627\", alpha=\"0.04\", expect_size=\"20799488\"] \n  3 -> 19 [size =\"20799488\"]\n  3 -> 20 [size =\"20799488\"]\n  3 -> 21 [size =\"20799488\"]\n  3 -> 23 [size =\"20799488\"]\n  3 -> 24 [size =\"20799488\"]\n  3 -> 25 [size =\"20799488\"]\n  3 -> 26 [size =\"20799488\"]\n  3 -> 29 [size =\"20799488\"]\n  4 [size=\"161037653\", alpha=\"0.06\", expect_size=\"48311296\"] \n  4 -> 18 [size =\"48311296\"]\n  4 -> 20 [size =\"48311296\"]\n  4 -> 21 [size =\"48311296\"]\n  4 -> 25 [size =\"48311296\"]\n  4 -> 27 [size =\"48311296\"]\n  4 -> 29 [size =\"48311296\"]\n  5 [size=\"75127467\", alpha=\"0.18\", expect_size=\"22538240\"] \n  5 -> 18 [size =\"22538240\"]\n  5 -> 19 [size =\"22538240\"]\n  5 -> 20 [size =\"22538240\"]\n  5 -> 21 [size =\"22538240\"]\n  5 -> 23 [size =\"22538240\"]\n  5 -> 25 [size =\"22538240\"]\n  5 -> 29 [size =\"22538240\"]\n  6 [size=\"134546773\", alpha=\"0.07\", expect_size=\"40364032\"] \n  6 -> 19 [size =\"40364032\"]\n  6 -> 19 [size =\"40364032\"]\n  6 -> 20 [size =\"40364032\"]\n  6 -> 21 [size =\"40364032\"]\n  6 -> 23 [size =\"40364032\"]\n  6 -> 25 [size =\"40364032\"]\n  6 -> 29 [size =\"40364032\"]\n  7 [size=\"108404053\", alpha=\"0.11\", expect_size=\"32521216\"] \n  7 -> 19 [size =\"32521216\"]\n  7 -> 20 [size =\"32521216\"]\n  7 -> 21 [size =\"32521216\"]\n  7 -> 21 [size =\"32521216\"]\n  7 -> 23 [size =\"32521216\"]\n  7 -> 24 [size =\"32521216\"]\n  7 -> 29 [size =\"32521216\"]\n  8 [size=\"24169813\", alpha=\"0.01\", expect_size=\"7250944\"] \n  8 -> 17 [size =\"7250944\"]\n  8 -> 21 [size =\"7250944\"]\n  8 -> 24 [size =\"7250944\"]\n  8 -> 27 [size =\"7250944\"]\n  8 -> 29 [size =\"7250944\"]\n  9 [size=\"98187947\", alpha=\"0.08\", expect_size=\"29456384\"] \n  9 -> 17 [size =\"29456384\"]\n  9 -> 18 [size =\"29456384\"]\n  9 -> 20 [size =\"29456384\"]\n  9 -> 22 [size =\"29456384\"]\n  9 -> 25 [size =\"29456384\"]\n  9 -> 29 [size =\"29456384\"]\n  10 [size=\"56842240\", alpha=\"0.16\", expect_size=\"17052672\"] \n  10 -> 20 [size =\"17052672\"]\n  10 -> 22 [size =\"17052672\"]\n  10 -> 26 [size =\"17052672\"]\n  10 -> 27 [size =\"17052672\"]\n  11 [size=\"142042453\", alpha=\"0.08\", expect_size=\"42612736\"] \n  11 -> 17 [size =\"42612736\"]\n  11 -> 18 [size =\"42612736\"]\n  11 -> 20 [size =\"42612736\"]\n  11 -> 27 [size =\"42612736\"]\n  11 -> 29 [size =\"42612736\"]\n  12 [size=\"133758293\", alpha=\"0.08\", expect_size=\"40127488\"] \n  12 -> 18 [size =\"40127488\"]\n  12 -> 19 [size =\"40127488\"]\n  12 -> 20 [size =\"40127488\"]\n  12 -> 24 [size =\"40127488\"]\n  12 -> 26 [size =\"40127488\"]\n  12 -> 27 [size =\"40127488\"]\n  13 [size=\"44697600\", alpha=\"0.15\", expect_size=\"13409280\"] \n  13 -> 22 [size =\"13409280\"]\n  13 -> 23 [size =\"13409280\"]\n  13 -> 25 [size =\"13409280\"]\n  13 -> 27 [size =\"13409280\"]\n  13 -> 28 [size =\"13409280\"]\n  14 [size=\"75960320\", alpha=\"0.05\", expect_size=\"22788096\"] \n  14 -> 21 [size =\"22788096\"]\n  14 -> 23 [size =\"22788096\"]\n  14 -> 24 [size =\"22788096\"]\n  14 -> 25 [size =\"22788096\"]\n  14 -> 27 [size =\"22788096\"]\n  14 -> 28 [size =\"22788096\"]\n  15 [size=\"120292693\", alpha=\"0.16\", expect_size=\"36087808\"] \n  15 -> 21 [size =\"36087808\"]\n  15 -> 22 [size =\"36087808\"]\n  15 -> 24 [size =\"36087808\"]\n  15 -> 25 [size =\"36087808\"]\n  15 -> 27 [size =\"36087808\"]\n  15 -> 28 [size =\"36087808\"]\n  15 -> 29 [size =\"36087808\"]\n  16 [size=\"106581333\", alpha=\"0.04\", expect_size=\"31974400\"] \n  16 -> 32 [size =\"31974400\"]\n  16 -> 33 [size =\"31974400\"]\n  16 -> 38 [size =\"31974400\"]\n  17 [size=\"164232533\", alpha=\"0.04\", expect_size=\"49269760\"] \n  17 -> 30 [size =\"49269760\"]\n  17 -> 31 [size =\"49269760\"]\n  17 -> 33 [size =\"49269760\"]\n  17 -> 36 [size =\"49269760\"]\n  17 -> 38 [size =\"49269760\"]\n  18 [size=\"90521600\", alpha=\"0.11\", expect_size=\"27156480\"] \n  18 -> 31 [size =\"27156480\"]\n  18 -> 40 [size =\"27156480\"]\n  18 -> 41 [size =\"27156480\"]\n  18 -> 42 [size =\"27156480\"]\n  19 [size=\"98375680\", alpha=\"0.03\", expect_size=\"29512704\"] \n  19 -> 30 [size =\"29512704\"]\n  19 -> 33 [size =\"29512704\"]\n  19 -> 36 [size =\"29512704\"]\n  19 -> 38 [size =\"29512704\"]\n  20 [size=\"163409920\", alpha=\"0.02\", expect_size=\"49022976\"] \n  20 -> 32 [size =\"49022976\"]\n  20 -> 33 [size =\"49022976\"]\n  20 -> 36 [size =\"49022976\"]\n  21 [size=\"128675840\", alpha=\"0.02\", expect_size=\"38602752\"] \n  21 -> 33 [size =\"38602752\"]\n  21 -> 39 [size =\"38602752\"]\n  21 -> 41 [size =\"38602752\"]\n  21 -> 43 [size =\"38602752\"]\n  22 [size=\"34051413\", alpha=\"0.07\", expect_size=\"10215424\"] \n  22 -> 30 [size =\"10215424\"]\n  22 -> 31 [size =\"10215424\"]\n  22 -> 32 [size =\"10215424\"]\n  22 -> 33 [size =\"10215424\"]\n  22 -> 36 [size =\"10215424\"]\n  22 -> 39 [size =\"10215424\"]\n  22 -> 42 [size =\"10215424\"]\n  22 -> 43 [size =\"10215424\"]\n  23 [size=\"95624533\", alpha=\"0.19\", expect_size=\"28687360\"] \n  23 -> 30 [size =\"28687360\"]\n  23 -> 31 [size =\"28687360\"]\n  23 -> 32 [size =\"28687360\"]\n  23 -> 39 [size =\"28687360\"]\n  23 -> 40 [size =\"28687360\"]\n  23 -> 42 [size =\"28687360\"]\n  23 -> 43 [size =\"28687360\"]\n  24 [size=\"57156267\", alpha=\"0.10\", expect_size=\"17146880\"] \n  24 -> 30 [size =\"17146880\"]\n  24 -> 31 [size =\"17146880\"]\n  24 -> 36 [size =\"17146880\"]\n  24 -> 38 [size =\"17146880\"]\n  24 -> 39 [size =\"17146880\"]\n  24 -> 40 [size =\"17146880\"]\n  24 -> 42 [size =\"17146880\"]\n  25 [size=\"98904747\", alpha=\"0.07\", expect_size=\"29671424\"] \n  25 -> 32 [size =\"29671424\"]\n  25 -> 35 [size =\"29671424\"]\n  25 -> 37 [size =\"29671424\"]\n  25 -> 38 [size =\"29671424\"]\n  25 -> 39 [size =\"29671424\"]\n  25 -> 41 [size =\"29671424\"]\n  25 -> 42 [size =\"29671424\"]\n  26 [size=\"67682987\", alpha=\"0.20\", expect_size=\"20304896\"] \n  26 -> 31 [size =\"20304896\"]\n  26 -> 32 [size =\"20304896\"]\n  26 -> 35 [size =\"20304896\"]\n  26 -> 38 [size =\"20304896\"]\n  26 -> 39 [size =\"20304896\"]\n  26 -> 42 [size =\"20304896\"]\n  26 -> 43 [size =\"20304896\"]\n  27 [size=\"100792320\", alpha=\"0.04\", expect_size=\"30237696\"] \n  27 -> 31 [size =\"30237696\"]\n  27 -> 32 [size =\"30237696\"]\n  27 -> 33 [size =\"30237696\"]\n  27 -> 34 [size =\"30237696\"]\n  27 -> 35 [size =\"30237696\"]\n  27 -> 38 [size =\"30237696\"]\n  27 -> 39 [size =\"30237696\"]\n  28 [size=\"130157227\", alpha=\"0.09\", expect_size=\"39047168\"] \n  28 -> 30 [size =\"39047168\"]\n  28 -> 31 [size =\"39047168\"]\n  28 -> 32 [size =\"39047168\"]\n  28 -> 33 [size =\"39047168\"]\n  28 -> 35 [size =\"39047168\"]\n  28 -> 38 [size =\"39047168\"]\n  28 -> 39 [size =\"39047168\"]\n  28 -> 40 [size =\"39047168\"]\n  28 -> 43 [size =\"39047168\"]\n  29 [size=\"56814933\", alpha=\"0.04\", expect_size=\"17044480\"] \n  29 -> 30 [size =\"17044480\"]\n  29 -> 33 [size =\"17044480\"]\n  29 -> 35 [size =\"17044480\"]\n  29 -> 40 [size =\"17044480\"]\n  30 [size=\"78667093\", alpha=\"0.05\", expect_size=\"23600128\"] \n  30 -> 45 [size =\"23600128\"]\n  30 -> 46 [size =\"23600128\"]\n  30 -> 48 [size =\"23600128\"]\n  31 [size=\"95337813\", alpha=\"0.01\", expect_size=\"28601344\"] \n  31 -> 45 [size =\"28601344\"]\n  31 -> 47 [size =\"28601344\"]\n  32 [size=\"107646293\", alpha=\"0.12\", expect_size=\"32293888\"] \n  32 -> 44 [size =\"32293888\"]\n  32 -> 48 [size =\"32293888\"]\n  33 [size=\"163584000\", alpha=\"0.06\", expect_size=\"49075200\"] \n  33 -> 44 [size =\"49075200\"]\n  33 -> 45 [size =\"49075200\"]\n  33 -> 46 [size =\"49075200\"]\n  33 -> 47 [size =\"49075200\"]\n  33 -> 48 [size =\"49075200\"]\n  33 -> 50 [size =\"49075200\"]\n  34 [size=\"157713067\", alpha=\"0.08\", expect_size=\"47313920\"] \n  34 -> 47 [size =\"47313920\"]\n  34 -> 48 [size =\"47313920\"]\n  34 -> 50 [size =\"47313920\"]\n  35 [size=\"76318720\", alpha=\"0.03\", expect_size=\"22895616\"] \n  35 -> 47 [size =\"22895616\"]\n  35 -> 50 [size =\"22895616\"]\n  36 [size=\"134331733\", alpha=\"0.09\", expect_size=\"40299520\"] \n  36 -> 44 [size =\"40299520\"]\n  36 -> 45 [size =\"40299520\"]\n  36 -> 46 [size =\"40299520\"]\n  36 -> 48 [size =\"40299520\"]\n  36 -> 50 [size =\"40299520\"]\n  37 [size=\"134260053\", alpha=\"0.14\", expect_size=\"40278016\"] \n  37 -> 45 [size =\"40278016\"]\n  37 -> 46 [size =\"40278016\"]\n  37 -> 47 [size =\"40278016\"]\n  37 -> 48 [size =\"40278016\"]\n  38 [size=\"167031467\", alpha=\"0.08\", expect_size=\"50109440\"] \n  38 -> 44 [size =\"50109440\"]\n  38 -> 46 [size =\"50109440\"]\n  38 -> 48 [size =\"50109440\"]\n  39 [size=\"82056533\", alpha=\"0.13\", expect_size=\"24616960\"] \n  39 -> 44 [size =\"24616960\"]\n  39 -> 47 [size =\"24616960\"]\n  39 -> 48 [size =\"24616960\"]\n  39 -> 50 [size =\"24616960\"]\n  40 [size=\"117333333\", alpha=\"0.16\", expect_size=\"35200000\"] \n  40 -> 44 [size =\"35200000\"]\n  40 -> 45 [size =\"35200000\"]\n  40 -> 49 [size =\"35200000\"]\n  41 [size=\"154944853\", alpha=\"0.13\", expect_size=\"46483456\"] \n  41 -> 44 [size =\"46483456\"]\n  41 -> 45 [size =\"46483456\"]\n  41 -> 46 [size =\"46483456\"]\n  41 -> 50 [size =\"46483456\"]\n  42 [size=\"162170880\", alpha=\"0.12\", expect_size=\"48651264\"] \n  42 -> 44 [size =\"48651264\"]\n  42 -> 45 [size =\"48651264\"]\n  42 -> 47 [size =\"48651264\"]\n  42 -> 49 [size =\"48651264\"]\n  43 [size=\"98010453\", alpha=\"0.01\", expect_size=\"29403136\"] \n  43 -> 44 [size =\"29403136\"]\n  43 -> 46 [size =\"29403136\"]\n  43 -> 47 [size =\"29403136\"]\n  43 -> 49 [size =\"29403136\"]\n  43 -> 50 [size =\"29403136\"]\n  44 [size=\"146967893\", alpha=\"0.16\", expect_size=\"44090368\"] \n  45 [size=\"52957867\", alpha=\"0.00\", expect_size=\"15887360\"] \n  46 [size=\"76086613\", alpha=\"0.11\", expect_size=\"22825984\"] \n  47 [size=\"148169387\", alpha=\"0.13\", expect_size=\"44450816\"] \n  48 [size=\"101396480\", alpha=\"0.09\", expect_size=\"30418944\"] \n  49 [size=\"166092800\", alpha=\"0.10\", expect_size=\"49827840\"] \n  50 [size=\"108598613\", alpha=\"0.18\", expect_size=\"32579584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.484.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56258560\", alpha=\"0.03\", expect_size=\"16877568\"] \n  1 -> 2 [size =\"16877568\"]\n  2 [size=\"165137067\", alpha=\"0.08\", expect_size=\"49541120\"] \n  2 -> 3 [size =\"49541120\"]\n  3 [size=\"84394667\", alpha=\"0.00\", expect_size=\"25318400\"] \n  3 -> 4 [size =\"25318400\"]\n  4 [size=\"52517547\", alpha=\"0.16\", expect_size=\"15755264\"] \n  4 -> 5 [size =\"15755264\"]\n  5 [size=\"148442453\", alpha=\"0.16\", expect_size=\"44532736\"] \n  5 -> 6 [size =\"44532736\"]\n  6 [size=\"166062080\", alpha=\"0.13\", expect_size=\"49818624\"] \n  6 -> 7 [size =\"49818624\"]\n  7 [size=\"31173973\", alpha=\"0.17\", expect_size=\"9352192\"] \n  7 -> 8 [size =\"9352192\"]\n  8 [size=\"83083947\", alpha=\"0.09\", expect_size=\"24925184\"] \n  8 -> 9 [size =\"24925184\"]\n  9 [size=\"40990720\", alpha=\"0.10\", expect_size=\"12297216\"] \n  9 -> 10 [size =\"12297216\"]\n  10 [size=\"24094720\", alpha=\"0.18\", expect_size=\"7228416\"] \n  10 -> 11 [size =\"7228416\"]\n  11 [size=\"163205120\", alpha=\"0.18\", expect_size=\"48961536\"] \n  11 -> 12 [size =\"48961536\"]\n  12 [size=\"31552853\", alpha=\"0.01\", expect_size=\"9465856\"] \n  12 -> 13 [size =\"9465856\"]\n  13 [size=\"91688960\", alpha=\"0.13\", expect_size=\"27506688\"] \n  13 -> 14 [size =\"27506688\"]\n  14 [size=\"94525440\", alpha=\"0.06\", expect_size=\"28357632\"] \n  14 -> 15 [size =\"28357632\"]\n  15 [size=\"59746987\", alpha=\"0.13\", expect_size=\"17924096\"] \n  15 -> 16 [size =\"17924096\"]\n  16 [size=\"30426453\", alpha=\"0.18\", expect_size=\"9127936\"] \n  16 -> 17 [size =\"9127936\"]\n  17 [size=\"129573547\", alpha=\"0.07\", expect_size=\"38872064\"] \n  17 -> 18 [size =\"38872064\"]\n  18 [size=\"107168427\", alpha=\"0.07\", expect_size=\"32150528\"] \n  18 -> 19 [size =\"32150528\"]\n  19 [size=\"18404693\", alpha=\"0.08\", expect_size=\"5521408\"] \n  19 -> 20 [size =\"5521408\"]\n  20 [size=\"97133227\", alpha=\"0.20\", expect_size=\"29139968\"] \n  20 -> 21 [size =\"29139968\"]\n  21 [size=\"80943787\", alpha=\"0.16\", expect_size=\"24283136\"] \n  21 -> 22 [size =\"24283136\"]\n  22 [size=\"68922027\", alpha=\"0.11\", expect_size=\"20676608\"] \n  22 -> 23 [size =\"20676608\"]\n  23 [size=\"75956907\", alpha=\"0.15\", expect_size=\"22787072\"] \n  23 -> 24 [size =\"22787072\"]\n  24 [size=\"20736000\", alpha=\"0.04\", expect_size=\"6220800\"] \n  24 -> 25 [size =\"6220800\"]\n  25 [size=\"69259947\", alpha=\"0.08\", expect_size=\"20777984\"] \n  25 -> 26 [size =\"20777984\"]\n  26 [size=\"167840427\", alpha=\"0.12\", expect_size=\"50352128\"] \n  26 -> 27 [size =\"50352128\"]\n  27 [size=\"154262187\", alpha=\"0.18\", expect_size=\"46278656\"] \n  27 -> 28 [size =\"46278656\"]\n  28 [size=\"53985280\", alpha=\"0.12\", expect_size=\"16195584\"] \n  28 -> 29 [size =\"16195584\"]\n  29 [size=\"106649600\", alpha=\"0.09\", expect_size=\"31994880\"] \n  29 -> 30 [size =\"31994880\"]\n  30 [size=\"170014720\", alpha=\"0.06\", expect_size=\"51004416\"] \n  30 -> 31 [size =\"51004416\"]\n  31 [size=\"167260160\", alpha=\"0.03\", expect_size=\"50178048\"] \n  31 -> 32 [size =\"50178048\"]\n  32 [size=\"137175040\", alpha=\"0.01\", expect_size=\"41152512\"] \n  32 -> 33 [size =\"41152512\"]\n  33 [size=\"70133760\", alpha=\"0.08\", expect_size=\"21040128\"] \n  33 -> 34 [size =\"21040128\"]\n  34 [size=\"33054720\", alpha=\"0.05\", expect_size=\"9916416\"] \n  34 -> 35 [size =\"9916416\"]\n  35 [size=\"60986027\", alpha=\"0.08\", expect_size=\"18295808\"] \n  35 -> 36 [size =\"18295808\"]\n  36 [size=\"127600640\", alpha=\"0.12\", expect_size=\"38280192\"] \n  36 -> 37 [size =\"38280192\"]\n  37 [size=\"66918400\", alpha=\"0.11\", expect_size=\"20075520\"] \n  37 -> 38 [size =\"20075520\"]\n  38 [size=\"49923413\", alpha=\"0.01\", expect_size=\"14977024\"] \n  38 -> 39 [size =\"14977024\"]\n  39 [size=\"142226773\", alpha=\"0.11\", expect_size=\"42668032\"] \n  39 -> 40 [size =\"42668032\"]\n  40 [size=\"52766720\", alpha=\"0.11\", expect_size=\"15830016\"] \n  40 -> 41 [size =\"15830016\"]\n  41 [size=\"102744747\", alpha=\"0.20\", expect_size=\"30823424\"] \n  41 -> 42 [size =\"30823424\"]\n  42 [size=\"123310080\", alpha=\"0.14\", expect_size=\"36993024\"] \n  42 -> 43 [size =\"36993024\"]\n  43 [size=\"128546133\", alpha=\"0.17\", expect_size=\"38563840\"] \n  43 -> 44 [size =\"38563840\"]\n  44 [size=\"35379200\", alpha=\"0.19\", expect_size=\"10613760\"] \n  44 -> 45 [size =\"10613760\"]\n  45 [size=\"78148267\", alpha=\"0.09\", expect_size=\"23444480\"] \n  45 -> 46 [size =\"23444480\"]\n  46 [size=\"141841067\", alpha=\"0.17\", expect_size=\"42552320\"] \n  46 -> 47 [size =\"42552320\"]\n  47 [size=\"82121387\", alpha=\"0.03\", expect_size=\"24636416\"] \n  47 -> 48 [size =\"24636416\"]\n  48 [size=\"168376320\", alpha=\"0.13\", expect_size=\"50512896\"] \n  48 -> 49 [size =\"50512896\"]\n  49 [size=\"18445653\", alpha=\"0.15\", expect_size=\"5533696\"] \n  49 -> 50 [size =\"5533696\"]\n  50 [size=\"105110187\", alpha=\"0.16\", expect_size=\"31533056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.485.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101012480\", alpha=\"0.03\", expect_size=\"40404992\"] \n  1 -> 2 [size =\"40404992\"]\n  2 [size=\"113446400\", alpha=\"0.00\", expect_size=\"45378560\"] \n  2 -> 3 [size =\"45378560\"]\n  3 [size=\"93895680\", alpha=\"0.00\", expect_size=\"37558272\"] \n  3 -> 4 [size =\"37558272\"]\n  4 [size=\"86397440\", alpha=\"0.12\", expect_size=\"34558976\"] \n  4 -> 5 [size =\"34558976\"]\n  5 [size=\"57651200\", alpha=\"0.01\", expect_size=\"23060480\"] \n  5 -> 6 [size =\"23060480\"]\n  6 [size=\"57402880\", alpha=\"0.17\", expect_size=\"22961152\"] \n  6 -> 7 [size =\"22961152\"]\n  7 [size=\"122769920\", alpha=\"0.14\", expect_size=\"49107968\"] \n  7 -> 8 [size =\"49107968\"]\n  8 [size=\"44113920\", alpha=\"0.01\", expect_size=\"17645568\"] \n  8 -> 9 [size =\"17645568\"]\n  9 [size=\"49269760\", alpha=\"0.06\", expect_size=\"19707904\"] \n  9 -> 10 [size =\"19707904\"]\n  10 [size=\"98890240\", alpha=\"0.15\", expect_size=\"39556096\"] \n  10 -> 11 [size =\"39556096\"]\n  11 [size=\"130147840\", alpha=\"0.07\", expect_size=\"52059136\"] \n  11 -> 12 [size =\"52059136\"]\n  12 [size=\"32686080\", alpha=\"0.12\", expect_size=\"13074432\"] \n  12 -> 13 [size =\"13074432\"]\n  13 [size=\"32913920\", alpha=\"0.07\", expect_size=\"13165568\"] \n  13 -> 14 [size =\"13165568\"]\n  14 [size=\"33932800\", alpha=\"0.16\", expect_size=\"13573120\"] \n  14 -> 15 [size =\"13573120\"]\n  15 [size=\"102963200\", alpha=\"0.00\", expect_size=\"41185280\"] \n  15 -> 16 [size =\"41185280\"]\n  16 [size=\"109455360\", alpha=\"0.07\", expect_size=\"43782144\"] \n  16 -> 17 [size =\"43782144\"]\n  17 [size=\"92200960\", alpha=\"0.20\", expect_size=\"36880384\"] \n  17 -> 18 [size =\"36880384\"]\n  18 [size=\"57090560\", alpha=\"0.08\", expect_size=\"22836224\"] \n  18 -> 19 [size =\"22836224\"]\n  19 [size=\"61376000\", alpha=\"0.11\", expect_size=\"24550400\"] \n  19 -> 20 [size =\"24550400\"]\n  20 [size=\"96686080\", alpha=\"0.11\", expect_size=\"38674432\"] \n  20 -> 21 [size =\"38674432\"]\n  21 [size=\"66575360\", alpha=\"0.06\", expect_size=\"26630144\"] \n  21 -> 22 [size =\"26630144\"]\n  22 [size=\"105175040\", alpha=\"0.18\", expect_size=\"42070016\"] \n  22 -> 23 [size =\"42070016\"]\n  23 [size=\"58240000\", alpha=\"0.04\", expect_size=\"23296000\"] \n  23 -> 24 [size =\"23296000\"]\n  24 [size=\"96893440\", alpha=\"0.02\", expect_size=\"38757376\"] \n  24 -> 25 [size =\"38757376\"]\n  25 [size=\"73707520\", alpha=\"0.08\", expect_size=\"29483008\"] \n  25 -> 26 [size =\"29483008\"]\n  26 [size=\"76390400\", alpha=\"0.01\", expect_size=\"30556160\"] \n  26 -> 27 [size =\"30556160\"]\n  27 [size=\"115514880\", alpha=\"0.13\", expect_size=\"46205952\"] \n  27 -> 28 [size =\"46205952\"]\n  28 [size=\"113858560\", alpha=\"0.10\", expect_size=\"45543424\"] \n  28 -> 29 [size =\"45543424\"]\n  29 [size=\"44295680\", alpha=\"0.13\", expect_size=\"17718272\"] \n  29 -> 30 [size =\"17718272\"]\n  30 [size=\"107432960\", alpha=\"0.11\", expect_size=\"42973184\"] \n  30 -> 31 [size =\"42973184\"]\n  31 [size=\"53532160\", alpha=\"0.09\", expect_size=\"21412864\"] \n  31 -> 32 [size =\"21412864\"]\n  32 [size=\"88465920\", alpha=\"0.10\", expect_size=\"35386368\"] \n  32 -> 33 [size =\"35386368\"]\n  33 [size=\"76643840\", alpha=\"0.14\", expect_size=\"30657536\"] \n  33 -> 34 [size =\"30657536\"]\n  34 [size=\"98856960\", alpha=\"0.02\", expect_size=\"39542784\"] \n  34 -> 35 [size =\"39542784\"]\n  35 [size=\"110433280\", alpha=\"0.05\", expect_size=\"44173312\"] \n  35 -> 36 [size =\"44173312\"]\n  36 [size=\"37952000\", alpha=\"0.04\", expect_size=\"15180800\"] \n  36 -> 37 [size =\"15180800\"]\n  37 [size=\"43676160\", alpha=\"0.17\", expect_size=\"17470464\"] \n  37 -> 38 [size =\"17470464\"]\n  38 [size=\"119306240\", alpha=\"0.17\", expect_size=\"47722496\"] \n  38 -> 39 [size =\"47722496\"]\n  39 [size=\"59919360\", alpha=\"0.06\", expect_size=\"23967744\"] \n  39 -> 40 [size =\"23967744\"]\n  40 [size=\"19648000\", alpha=\"0.08\", expect_size=\"7859200\"] \n  40 -> 41 [size =\"7859200\"]\n  41 [size=\"84275200\", alpha=\"0.00\", expect_size=\"33710080\"] \n  41 -> 42 [size =\"33710080\"]\n  42 [size=\"16947200\", alpha=\"0.07\", expect_size=\"6778880\"] \n  42 -> 43 [size =\"6778880\"]\n  43 [size=\"73175040\", alpha=\"0.02\", expect_size=\"29270016\"] \n  43 -> 44 [size =\"29270016\"]\n  44 [size=\"36838400\", alpha=\"0.11\", expect_size=\"14735360\"] \n  44 -> 45 [size =\"14735360\"]\n  45 [size=\"46727680\", alpha=\"0.11\", expect_size=\"18691072\"] \n  45 -> 46 [size =\"18691072\"]\n  46 [size=\"74734080\", alpha=\"0.01\", expect_size=\"29893632\"] \n  46 -> 47 [size =\"29893632\"]\n  47 [size=\"99246080\", alpha=\"0.09\", expect_size=\"39698432\"] \n  47 -> 48 [size =\"39698432\"]\n  48 [size=\"81392640\", alpha=\"0.13\", expect_size=\"32557056\"] \n  48 -> 49 [size =\"32557056\"]\n  49 [size=\"65159680\", alpha=\"0.03\", expect_size=\"26063872\"] \n  49 -> 50 [size =\"26063872\"]\n  50 [size=\"98813440\", alpha=\"0.09\", expect_size=\"39525376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.486.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62720000\", alpha=\"0.18\", expect_size=\"18816000\"] \n  1 -> 2 [size =\"18816000\"]\n  2 [size=\"174240427\", alpha=\"0.18\", expect_size=\"52272128\"] \n  2 -> 3 [size =\"52272128\"]\n  3 [size=\"137591467\", alpha=\"0.19\", expect_size=\"41277440\"] \n  3 -> 4 [size =\"41277440\"]\n  4 [size=\"91706027\", alpha=\"0.18\", expect_size=\"27511808\"] \n  4 -> 5 [size =\"27511808\"]\n  5 [size=\"107840853\", alpha=\"0.12\", expect_size=\"32352256\"] \n  5 -> 6 [size =\"32352256\"]\n  6 [size=\"76946773\", alpha=\"0.16\", expect_size=\"23084032\"] \n  6 -> 7 [size =\"23084032\"]\n  7 [size=\"67775147\", alpha=\"0.09\", expect_size=\"20332544\"] \n  7 -> 8 [size =\"20332544\"]\n  8 [size=\"63576747\", alpha=\"0.02\", expect_size=\"19073024\"] \n  8 -> 9 [size =\"19073024\"]\n  9 [size=\"45595307\", alpha=\"0.12\", expect_size=\"13678592\"] \n  9 -> 10 [size =\"13678592\"]\n  10 [size=\"67444053\", alpha=\"0.02\", expect_size=\"20233216\"] \n  10 -> 11 [size =\"20233216\"]\n  11 [size=\"76813653\", alpha=\"0.09\", expect_size=\"23044096\"] \n  11 -> 12 [size =\"23044096\"]\n  12 [size=\"57429333\", alpha=\"0.02\", expect_size=\"17228800\"] \n  12 -> 13 [size =\"17228800\"]\n  13 [size=\"39819947\", alpha=\"0.06\", expect_size=\"11945984\"] \n  13 -> 14 [size =\"11945984\"]\n  14 [size=\"35713707\", alpha=\"0.03\", expect_size=\"10714112\"] \n  14 -> 15 [size =\"10714112\"]\n  15 [size=\"18240853\", alpha=\"0.09\", expect_size=\"5472256\"] \n  15 -> 16 [size =\"5472256\"]\n  16 [size=\"112964267\", alpha=\"0.06\", expect_size=\"33889280\"] \n  16 -> 17 [size =\"33889280\"]\n  17 [size=\"82036053\", alpha=\"0.06\", expect_size=\"24610816\"] \n  17 -> 18 [size =\"24610816\"]\n  18 [size=\"155395413\", alpha=\"0.09\", expect_size=\"46618624\"] \n  18 -> 19 [size =\"46618624\"]\n  19 [size=\"170352640\", alpha=\"0.07\", expect_size=\"51105792\"] \n  19 -> 20 [size =\"51105792\"]\n  20 [size=\"110769493\", alpha=\"0.04\", expect_size=\"33230848\"] \n  20 -> 21 [size =\"33230848\"]\n  21 [size=\"128808960\", alpha=\"0.06\", expect_size=\"38642688\"] \n  21 -> 22 [size =\"38642688\"]\n  22 [size=\"42765653\", alpha=\"0.08\", expect_size=\"12829696\"] \n  22 -> 23 [size =\"12829696\"]\n  23 [size=\"56296107\", alpha=\"0.06\", expect_size=\"16888832\"] \n  23 -> 24 [size =\"16888832\"]\n  24 [size=\"101280427\", alpha=\"0.13\", expect_size=\"30384128\"] \n  24 -> 25 [size =\"30384128\"]\n  25 [size=\"126836053\", alpha=\"0.11\", expect_size=\"38050816\"] \n  25 -> 26 [size =\"38050816\"]\n  26 [size=\"39601493\", alpha=\"0.17\", expect_size=\"11880448\"] \n  26 -> 27 [size =\"11880448\"]\n  27 [size=\"83664213\", alpha=\"0.10\", expect_size=\"25099264\"] \n  27 -> 28 [size =\"25099264\"]\n  28 [size=\"131546453\", alpha=\"0.08\", expect_size=\"39463936\"] \n  28 -> 29 [size =\"39463936\"]\n  29 [size=\"47848107\", alpha=\"0.10\", expect_size=\"14354432\"] \n  29 -> 30 [size =\"14354432\"]\n  30 [size=\"103294293\", alpha=\"0.18\", expect_size=\"30988288\"] \n  30 -> 31 [size =\"30988288\"]\n  31 [size=\"131843413\", alpha=\"0.14\", expect_size=\"39553024\"] \n  31 -> 32 [size =\"39553024\"]\n  32 [size=\"21449387\", alpha=\"0.15\", expect_size=\"6434816\"] \n  32 -> 33 [size =\"6434816\"]\n  33 [size=\"86169600\", alpha=\"0.18\", expect_size=\"25850880\"] \n  33 -> 34 [size =\"25850880\"]\n  34 [size=\"131539627\", alpha=\"0.04\", expect_size=\"39461888\"] \n  34 -> 35 [size =\"39461888\"]\n  35 [size=\"74516480\", alpha=\"0.10\", expect_size=\"22354944\"] \n  35 -> 36 [size =\"22354944\"]\n  36 [size=\"162744320\", alpha=\"0.09\", expect_size=\"48823296\"] \n  36 -> 37 [size =\"48823296\"]\n  37 [size=\"141127680\", alpha=\"0.15\", expect_size=\"42338304\"] \n  37 -> 38 [size =\"42338304\"]\n  38 [size=\"59965440\", alpha=\"0.19\", expect_size=\"17989632\"] \n  38 -> 39 [size =\"17989632\"]\n  39 [size=\"122647893\", alpha=\"0.03\", expect_size=\"36794368\"] \n  39 -> 40 [size =\"36794368\"]\n  40 [size=\"42724693\", alpha=\"0.18\", expect_size=\"12817408\"] \n  40 -> 41 [size =\"12817408\"]\n  41 [size=\"27446613\", alpha=\"0.07\", expect_size=\"8233984\"] \n  41 -> 42 [size =\"8233984\"]\n  42 [size=\"136157867\", alpha=\"0.00\", expect_size=\"40847360\"] \n  42 -> 43 [size =\"40847360\"]\n  43 [size=\"94238720\", alpha=\"0.18\", expect_size=\"28271616\"] \n  43 -> 44 [size =\"28271616\"]\n  44 [size=\"81319253\", alpha=\"0.06\", expect_size=\"24395776\"] \n  44 -> 45 [size =\"24395776\"]\n  45 [size=\"115640320\", alpha=\"0.08\", expect_size=\"34692096\"] \n  45 -> 46 [size =\"34692096\"]\n  46 [size=\"40683520\", alpha=\"0.13\", expect_size=\"12205056\"] \n  46 -> 47 [size =\"12205056\"]\n  47 [size=\"109226667\", alpha=\"0.06\", expect_size=\"32768000\"] \n  47 -> 48 [size =\"32768000\"]\n  48 [size=\"71253333\", alpha=\"0.14\", expect_size=\"21376000\"] \n  48 -> 49 [size =\"21376000\"]\n  49 [size=\"64686080\", alpha=\"0.06\", expect_size=\"19405824\"] \n  49 -> 50 [size =\"19405824\"]\n  50 [size=\"85114880\", alpha=\"0.09\", expect_size=\"25534464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.487.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117583360\", alpha=\"0.02\", expect_size=\"47033344\"] \n  1 -> 17 [size =\"47033344\"]\n  1 -> 19 [size =\"47033344\"]\n  1 -> 20 [size =\"47033344\"]\n  1 -> 21 [size =\"47033344\"]\n  1 -> 22 [size =\"47033344\"]\n  1 -> 24 [size =\"47033344\"]\n  1 -> 28 [size =\"47033344\"]\n  1 -> 30 [size =\"47033344\"]\n  2 [size=\"110161920\", alpha=\"0.18\", expect_size=\"44064768\"] \n  2 -> 15 [size =\"44064768\"]\n  2 -> 17 [size =\"44064768\"]\n  2 -> 18 [size =\"44064768\"]\n  2 -> 19 [size =\"44064768\"]\n  2 -> 22 [size =\"44064768\"]\n  2 -> 25 [size =\"44064768\"]\n  2 -> 26 [size =\"44064768\"]\n  2 -> 28 [size =\"44064768\"]\n  3 [size=\"71296000\", alpha=\"0.00\", expect_size=\"28518400\"] \n  3 -> 15 [size =\"28518400\"]\n  3 -> 17 [size =\"28518400\"]\n  3 -> 23 [size =\"28518400\"]\n  3 -> 25 [size =\"28518400\"]\n  3 -> 27 [size =\"28518400\"]\n  4 [size=\"107013120\", alpha=\"0.12\", expect_size=\"42805248\"] \n  4 -> 15 [size =\"42805248\"]\n  4 -> 17 [size =\"42805248\"]\n  4 -> 18 [size =\"42805248\"]\n  4 -> 19 [size =\"42805248\"]\n  4 -> 20 [size =\"42805248\"]\n  4 -> 21 [size =\"42805248\"]\n  4 -> 22 [size =\"42805248\"]\n  4 -> 25 [size =\"42805248\"]\n  4 -> 28 [size =\"42805248\"]\n  5 [size=\"126087680\", alpha=\"0.04\", expect_size=\"50435072\"] \n  5 -> 15 [size =\"50435072\"]\n  5 -> 20 [size =\"50435072\"]\n  5 -> 28 [size =\"50435072\"]\n  5 -> 30 [size =\"50435072\"]\n  6 [size=\"13166080\", alpha=\"0.01\", expect_size=\"5266432\"] \n  6 -> 15 [size =\"5266432\"]\n  6 -> 16 [size =\"5266432\"]\n  6 -> 19 [size =\"5266432\"]\n  6 -> 20 [size =\"5266432\"]\n  6 -> 21 [size =\"5266432\"]\n  6 -> 23 [size =\"5266432\"]\n  7 [size=\"16890880\", alpha=\"0.09\", expect_size=\"6756352\"] \n  7 -> 16 [size =\"6756352\"]\n  7 -> 19 [size =\"6756352\"]\n  7 -> 22 [size =\"6756352\"]\n  7 -> 23 [size =\"6756352\"]\n  7 -> 25 [size =\"6756352\"]\n  7 -> 26 [size =\"6756352\"]\n  7 -> 30 [size =\"6756352\"]\n  8 [size=\"95482880\", alpha=\"0.08\", expect_size=\"38193152\"] \n  8 -> 15 [size =\"38193152\"]\n  8 -> 16 [size =\"38193152\"]\n  8 -> 19 [size =\"38193152\"]\n  8 -> 21 [size =\"38193152\"]\n  8 -> 22 [size =\"38193152\"]\n  8 -> 23 [size =\"38193152\"]\n  8 -> 25 [size =\"38193152\"]\n  8 -> 27 [size =\"38193152\"]\n  8 -> 28 [size =\"38193152\"]\n  9 [size=\"83333120\", alpha=\"0.18\", expect_size=\"33333248\"] \n  9 -> 16 [size =\"33333248\"]\n  9 -> 21 [size =\"33333248\"]\n  9 -> 22 [size =\"33333248\"]\n  9 -> 23 [size =\"33333248\"]\n  9 -> 24 [size =\"33333248\"]\n  9 -> 27 [size =\"33333248\"]\n  9 -> 28 [size =\"33333248\"]\n  10 [size=\"122391040\", alpha=\"0.08\", expect_size=\"48956416\"] \n  10 -> 16 [size =\"48956416\"]\n  10 -> 19 [size =\"48956416\"]\n  10 -> 21 [size =\"48956416\"]\n  10 -> 22 [size =\"48956416\"]\n  10 -> 23 [size =\"48956416\"]\n  10 -> 25 [size =\"48956416\"]\n  10 -> 26 [size =\"48956416\"]\n  10 -> 27 [size =\"48956416\"]\n  10 -> 30 [size =\"48956416\"]\n  11 [size=\"61688320\", alpha=\"0.16\", expect_size=\"24675328\"] \n  11 -> 16 [size =\"24675328\"]\n  11 -> 19 [size =\"24675328\"]\n  11 -> 21 [size =\"24675328\"]\n  11 -> 22 [size =\"24675328\"]\n  11 -> 25 [size =\"24675328\"]\n  11 -> 27 [size =\"24675328\"]\n  11 -> 30 [size =\"24675328\"]\n  12 [size=\"71956480\", alpha=\"0.20\", expect_size=\"28782592\"] \n  12 -> 15 [size =\"28782592\"]\n  12 -> 16 [size =\"28782592\"]\n  12 -> 20 [size =\"28782592\"]\n  12 -> 21 [size =\"28782592\"]\n  12 -> 26 [size =\"28782592\"]\n  12 -> 27 [size =\"28782592\"]\n  12 -> 28 [size =\"28782592\"]\n  12 -> 30 [size =\"28782592\"]\n  13 [size=\"57349120\", alpha=\"0.12\", expect_size=\"22939648\"] \n  13 -> 21 [size =\"22939648\"]\n  13 -> 23 [size =\"22939648\"]\n  13 -> 27 [size =\"22939648\"]\n  13 -> 28 [size =\"22939648\"]\n  13 -> 29 [size =\"22939648\"]\n  13 -> 30 [size =\"22939648\"]\n  14 [size=\"60277760\", alpha=\"0.10\", expect_size=\"24111104\"] \n  14 -> 15 [size =\"24111104\"]\n  14 -> 22 [size =\"24111104\"]\n  14 -> 23 [size =\"24111104\"]\n  14 -> 25 [size =\"24111104\"]\n  14 -> 27 [size =\"24111104\"]\n  14 -> 28 [size =\"24111104\"]\n  14 -> 30 [size =\"24111104\"]\n  15 [size=\"13148160\", alpha=\"0.00\", expect_size=\"5259264\"] \n  15 -> 32 [size =\"5259264\"]\n  15 -> 34 [size =\"5259264\"]\n  15 -> 36 [size =\"5259264\"]\n  15 -> 38 [size =\"5259264\"]\n  15 -> 42 [size =\"5259264\"]\n  16 [size=\"37248000\", alpha=\"0.03\", expect_size=\"14899200\"] \n  16 -> 33 [size =\"14899200\"]\n  16 -> 34 [size =\"14899200\"]\n  16 -> 37 [size =\"14899200\"]\n  16 -> 38 [size =\"14899200\"]\n  16 -> 41 [size =\"14899200\"]\n  16 -> 42 [size =\"14899200\"]\n  16 -> 44 [size =\"14899200\"]\n  16 -> 45 [size =\"14899200\"]\n  17 [size=\"42826240\", alpha=\"0.09\", expect_size=\"17130496\"] \n  17 -> 31 [size =\"17130496\"]\n  17 -> 34 [size =\"17130496\"]\n  17 -> 35 [size =\"17130496\"]\n  17 -> 38 [size =\"17130496\"]\n  17 -> 39 [size =\"17130496\"]\n  17 -> 40 [size =\"17130496\"]\n  17 -> 45 [size =\"17130496\"]\n  18 [size=\"95398400\", alpha=\"0.18\", expect_size=\"38159360\"] \n  18 -> 32 [size =\"38159360\"]\n  18 -> 37 [size =\"38159360\"]\n  18 -> 38 [size =\"38159360\"]\n  18 -> 39 [size =\"38159360\"]\n  18 -> 40 [size =\"38159360\"]\n  18 -> 43 [size =\"38159360\"]\n  18 -> 45 [size =\"38159360\"]\n  19 [size=\"23104000\", alpha=\"0.17\", expect_size=\"9241600\"] \n  19 -> 31 [size =\"9241600\"]\n  19 -> 32 [size =\"9241600\"]\n  19 -> 37 [size =\"9241600\"]\n  19 -> 38 [size =\"9241600\"]\n  19 -> 39 [size =\"9241600\"]\n  19 -> 41 [size =\"9241600\"]\n  19 -> 43 [size =\"9241600\"]\n  20 [size=\"129546240\", alpha=\"0.13\", expect_size=\"51818496\"] \n  20 -> 31 [size =\"51818496\"]\n  20 -> 33 [size =\"51818496\"]\n  20 -> 35 [size =\"51818496\"]\n  20 -> 37 [size =\"51818496\"]\n  20 -> 38 [size =\"51818496\"]\n  20 -> 39 [size =\"51818496\"]\n  20 -> 43 [size =\"51818496\"]\n  20 -> 45 [size =\"51818496\"]\n  21 [size=\"60625920\", alpha=\"0.08\", expect_size=\"24250368\"] \n  21 -> 31 [size =\"24250368\"]\n  21 -> 33 [size =\"24250368\"]\n  21 -> 36 [size =\"24250368\"]\n  21 -> 37 [size =\"24250368\"]\n  22 [size=\"36111360\", alpha=\"0.19\", expect_size=\"14444544\"] \n  22 -> 31 [size =\"14444544\"]\n  22 -> 37 [size =\"14444544\"]\n  22 -> 44 [size =\"14444544\"]\n  22 -> 45 [size =\"14444544\"]\n  23 [size=\"34050560\", alpha=\"0.20\", expect_size=\"13620224\"] \n  23 -> 31 [size =\"13620224\"]\n  23 -> 32 [size =\"13620224\"]\n  23 -> 34 [size =\"13620224\"]\n  23 -> 35 [size =\"13620224\"]\n  23 -> 36 [size =\"13620224\"]\n  23 -> 37 [size =\"13620224\"]\n  23 -> 38 [size =\"13620224\"]\n  23 -> 39 [size =\"13620224\"]\n  23 -> 45 [size =\"13620224\"]\n  24 [size=\"105223680\", alpha=\"0.16\", expect_size=\"42089472\"] \n  24 -> 32 [size =\"42089472\"]\n  24 -> 33 [size =\"42089472\"]\n  24 -> 34 [size =\"42089472\"]\n  24 -> 35 [size =\"42089472\"]\n  24 -> 37 [size =\"42089472\"]\n  24 -> 38 [size =\"42089472\"]\n  24 -> 41 [size =\"42089472\"]\n  24 -> 42 [size =\"42089472\"]\n  24 -> 43 [size =\"42089472\"]\n  24 -> 45 [size =\"42089472\"]\n  25 [size=\"43432960\", alpha=\"0.12\", expect_size=\"17373184\"] \n  25 -> 32 [size =\"17373184\"]\n  25 -> 33 [size =\"17373184\"]\n  25 -> 34 [size =\"17373184\"]\n  25 -> 37 [size =\"17373184\"]\n  25 -> 42 [size =\"17373184\"]\n  25 -> 45 [size =\"17373184\"]\n  26 [size=\"44766720\", alpha=\"0.08\", expect_size=\"17906688\"] \n  26 -> 33 [size =\"17906688\"]\n  26 -> 34 [size =\"17906688\"]\n  26 -> 36 [size =\"17906688\"]\n  26 -> 38 [size =\"17906688\"]\n  26 -> 42 [size =\"17906688\"]\n  26 -> 45 [size =\"17906688\"]\n  27 [size=\"63418880\", alpha=\"0.05\", expect_size=\"25367552\"] \n  27 -> 32 [size =\"25367552\"]\n  27 -> 33 [size =\"25367552\"]\n  27 -> 37 [size =\"25367552\"]\n  27 -> 38 [size =\"25367552\"]\n  27 -> 42 [size =\"25367552\"]\n  27 -> 43 [size =\"25367552\"]\n  28 [size=\"116771840\", alpha=\"0.15\", expect_size=\"46708736\"] \n  28 -> 34 [size =\"46708736\"]\n  28 -> 37 [size =\"46708736\"]\n  28 -> 39 [size =\"46708736\"]\n  28 -> 40 [size =\"46708736\"]\n  28 -> 43 [size =\"46708736\"]\n  29 [size=\"102100480\", alpha=\"0.17\", expect_size=\"40840192\"] \n  29 -> 31 [size =\"40840192\"]\n  29 -> 32 [size =\"40840192\"]\n  29 -> 41 [size =\"40840192\"]\n  29 -> 42 [size =\"40840192\"]\n  29 -> 43 [size =\"40840192\"]\n  30 [size=\"81815040\", alpha=\"0.18\", expect_size=\"32726016\"] \n  30 -> 32 [size =\"32726016\"]\n  30 -> 34 [size =\"32726016\"]\n  30 -> 35 [size =\"32726016\"]\n  30 -> 38 [size =\"32726016\"]\n  30 -> 42 [size =\"32726016\"]\n  30 -> 43 [size =\"32726016\"]\n  31 [size=\"42439680\", alpha=\"0.08\", expect_size=\"16975872\"] \n  31 -> 47 [size =\"16975872\"]\n  31 -> 48 [size =\"16975872\"]\n  32 [size=\"88458240\", alpha=\"0.07\", expect_size=\"35383296\"] \n  32 -> 47 [size =\"35383296\"]\n  32 -> 48 [size =\"35383296\"]\n  33 [size=\"80993280\", alpha=\"0.13\", expect_size=\"32397312\"] \n  33 -> 46 [size =\"32397312\"]\n  33 -> 48 [size =\"32397312\"]\n  33 -> 50 [size =\"32397312\"]\n  34 [size=\"78236160\", alpha=\"0.08\", expect_size=\"31294464\"] \n  34 -> 48 [size =\"31294464\"]\n  34 -> 50 [size =\"31294464\"]\n  35 [size=\"56130560\", alpha=\"0.03\", expect_size=\"22452224\"] \n  35 -> 46 [size =\"22452224\"]\n  35 -> 47 [size =\"22452224\"]\n  35 -> 48 [size =\"22452224\"]\n  35 -> 50 [size =\"22452224\"]\n  36 [size=\"127659520\", alpha=\"0.01\", expect_size=\"51063808\"] \n  36 -> 46 [size =\"51063808\"]\n  36 -> 47 [size =\"51063808\"]\n  36 -> 49 [size =\"51063808\"]\n  36 -> 50 [size =\"51063808\"]\n  37 [size=\"56949760\", alpha=\"0.05\", expect_size=\"22779904\"] \n  37 -> 47 [size =\"22779904\"]\n  37 -> 48 [size =\"22779904\"]\n  38 [size=\"83722240\", alpha=\"0.03\", expect_size=\"33488896\"] \n  38 -> 46 [size =\"33488896\"]\n  38 -> 47 [size =\"33488896\"]\n  38 -> 48 [size =\"33488896\"]\n  38 -> 50 [size =\"33488896\"]\n  39 [size=\"54417920\", alpha=\"0.02\", expect_size=\"21767168\"] \n  39 -> 47 [size =\"21767168\"]\n  40 [size=\"39267840\", alpha=\"0.01\", expect_size=\"15707136\"] \n  40 -> 48 [size =\"15707136\"]\n  41 [size=\"29588480\", alpha=\"0.09\", expect_size=\"11835392\"] \n  41 -> 50 [size =\"11835392\"]\n  42 [size=\"73966080\", alpha=\"0.20\", expect_size=\"29586432\"] \n  42 -> 46 [size =\"29586432\"]\n  42 -> 48 [size =\"29586432\"]\n  42 -> 50 [size =\"29586432\"]\n  43 [size=\"113282560\", alpha=\"0.14\", expect_size=\"45313024\"] \n  43 -> 47 [size =\"45313024\"]\n  43 -> 49 [size =\"45313024\"]\n  43 -> 50 [size =\"45313024\"]\n  44 [size=\"73817600\", alpha=\"0.05\", expect_size=\"29527040\"] \n  44 -> 48 [size =\"29527040\"]\n  44 -> 49 [size =\"29527040\"]\n  45 [size=\"120706560\", alpha=\"0.00\", expect_size=\"48282624\"] \n  45 -> 46 [size =\"48282624\"]\n  45 -> 48 [size =\"48282624\"]\n  45 -> 49 [size =\"48282624\"]\n  46 [size=\"18063360\", alpha=\"0.01\", expect_size=\"7225344\"] \n  47 [size=\"25960960\", alpha=\"0.10\", expect_size=\"10384384\"] \n  48 [size=\"56148480\", alpha=\"0.17\", expect_size=\"22459392\"] \n  49 [size=\"72960000\", alpha=\"0.19\", expect_size=\"29184000\"] \n  50 [size=\"86389760\", alpha=\"0.13\", expect_size=\"34555904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.488.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35366912\", alpha=\"0.16\", expect_size=\"17683456\"] \n  2 [size=\"91930624\", alpha=\"0.05\", expect_size=\"45965312\"] \n  3 [size=\"73478144\", alpha=\"0.14\", expect_size=\"36739072\"] \n  3 -> 4 [size =\"36739072\"]\n  4 [size=\"44836864\", alpha=\"0.15\", expect_size=\"22418432\"] \n  4 -> 5 [size =\"22418432\"]\n  4 -> 6 [size =\"22418432\"]\n  4 -> 7 [size =\"22418432\"]\n  5 [size=\"18700288\", alpha=\"0.17\", expect_size=\"9350144\"] \n  5 -> 9 [size =\"9350144\"]\n  6 [size=\"43112448\", alpha=\"0.18\", expect_size=\"21556224\"] \n  7 [size=\"81922048\", alpha=\"0.08\", expect_size=\"40961024\"] \n  7 -> 8 [size =\"40961024\"]\n  7 -> 9 [size =\"40961024\"]\n  8 [size=\"59973632\", alpha=\"0.18\", expect_size=\"29986816\"] \n  8 -> 10 [size =\"29986816\"]\n  9 [size=\"91914240\", alpha=\"0.02\", expect_size=\"45957120\"] \n  10 [size=\"53379072\", alpha=\"0.15\", expect_size=\"26689536\"] \n  10 -> 11 [size =\"26689536\"]\n  10 -> 12 [size =\"26689536\"]\n  11 [size=\"94541824\", alpha=\"0.12\", expect_size=\"47270912\"] \n  11 -> 14 [size =\"47270912\"]\n  12 [size=\"73703424\", alpha=\"0.05\", expect_size=\"36851712\"] \n  12 -> 13 [size =\"36851712\"]\n  12 -> 15 [size =\"36851712\"]\n  13 [size=\"98607104\", alpha=\"0.14\", expect_size=\"49303552\"] \n  14 [size=\"71274496\", alpha=\"0.19\", expect_size=\"35637248\"] \n  15 [size=\"47683584\", alpha=\"0.09\", expect_size=\"23841792\"] \n  15 -> 16 [size =\"23841792\"]\n  16 [size=\"35770368\", alpha=\"0.10\", expect_size=\"17885184\"] \n  16 -> 17 [size =\"17885184\"]\n  16 -> 18 [size =\"17885184\"]\n  17 [size=\"24356864\", alpha=\"0.05\", expect_size=\"12178432\"] \n  17 -> 19 [size =\"12178432\"]\n  17 -> 20 [size =\"12178432\"]\n  18 [size=\"63356928\", alpha=\"0.13\", expect_size=\"31678464\"] \n  18 -> 21 [size =\"31678464\"]\n  19 [size=\"55820288\", alpha=\"0.19\", expect_size=\"27910144\"] \n  20 [size=\"66091008\", alpha=\"0.15\", expect_size=\"33045504\"] \n  20 -> 22 [size =\"33045504\"]\n  20 -> 24 [size =\"33045504\"]\n  21 [size=\"43638784\", alpha=\"0.16\", expect_size=\"21819392\"] \n  21 -> 23 [size =\"21819392\"]\n  22 [size=\"101373952\", alpha=\"0.15\", expect_size=\"50686976\"] \n  22 -> 25 [size =\"50686976\"]\n  22 -> 26 [size =\"50686976\"]\n  23 [size=\"29147136\", alpha=\"0.07\", expect_size=\"14573568\"] \n  23 -> 26 [size =\"14573568\"]\n  24 [size=\"96008192\", alpha=\"0.06\", expect_size=\"48004096\"] \n  24 -> 25 [size =\"48004096\"]\n  24 -> 27 [size =\"48004096\"]\n  25 [size=\"91082752\", alpha=\"0.07\", expect_size=\"45541376\"] \n  26 [size=\"39540736\", alpha=\"0.15\", expect_size=\"19770368\"] \n  26 -> 28 [size =\"19770368\"]\n  26 -> 29 [size =\"19770368\"]\n  27 [size=\"85950464\", alpha=\"0.18\", expect_size=\"42975232\"] \n  27 -> 29 [size =\"42975232\"]\n  27 -> 30 [size =\"42975232\"]\n  28 [size=\"14714880\", alpha=\"0.11\", expect_size=\"7357440\"] \n  28 -> 31 [size =\"7357440\"]\n  28 -> 32 [size =\"7357440\"]\n  29 [size=\"74070016\", alpha=\"0.02\", expect_size=\"37035008\"] \n  29 -> 31 [size =\"37035008\"]\n  30 [size=\"69527552\", alpha=\"0.01\", expect_size=\"34763776\"] \n  30 -> 33 [size =\"34763776\"]\n  31 [size=\"46100480\", alpha=\"0.19\", expect_size=\"23050240\"] \n  31 -> 35 [size =\"23050240\"]\n  32 [size=\"28669952\", alpha=\"0.10\", expect_size=\"14334976\"] \n  33 [size=\"98682880\", alpha=\"0.20\", expect_size=\"49341440\"] \n  33 -> 34 [size =\"49341440\"]\n  34 [size=\"36018176\", alpha=\"0.02\", expect_size=\"18009088\"] \n  34 -> 36 [size =\"18009088\"]\n  34 -> 38 [size =\"18009088\"]\n  35 [size=\"63768576\", alpha=\"0.13\", expect_size=\"31884288\"] \n  35 -> 37 [size =\"31884288\"]\n  35 -> 39 [size =\"31884288\"]\n  36 [size=\"95778816\", alpha=\"0.09\", expect_size=\"47889408\"] \n  37 [size=\"70301696\", alpha=\"0.07\", expect_size=\"35150848\"] \n  37 -> 41 [size =\"35150848\"]\n  38 [size=\"58775552\", alpha=\"0.17\", expect_size=\"29387776\"] \n  38 -> 40 [size =\"29387776\"]\n  39 [size=\"16318464\", alpha=\"0.17\", expect_size=\"8159232\"] \n  39 -> 40 [size =\"8159232\"]\n  40 [size=\"24358912\", alpha=\"0.08\", expect_size=\"12179456\"] \n  40 -> 43 [size =\"12179456\"]\n  41 [size=\"31418368\", alpha=\"0.07\", expect_size=\"15709184\"] \n  41 -> 42 [size =\"15709184\"]\n  41 -> 44 [size =\"15709184\"]\n  42 [size=\"27183104\", alpha=\"0.04\", expect_size=\"13591552\"] \n  42 -> 45 [size =\"13591552\"]\n  42 -> 46 [size =\"13591552\"]\n  43 [size=\"74872832\", alpha=\"0.06\", expect_size=\"37436416\"] \n  43 -> 45 [size =\"37436416\"]\n  44 [size=\"73867264\", alpha=\"0.05\", expect_size=\"36933632\"] \n  45 [size=\"84957184\", alpha=\"0.02\", expect_size=\"42478592\"] \n  46 [size=\"50968576\", alpha=\"0.05\", expect_size=\"25484288\"] \n  46 -> 47 [size =\"25484288\"]\n  46 -> 48 [size =\"25484288\"]\n  46 -> 49 [size =\"25484288\"]\n  47 [size=\"91559936\", alpha=\"0.04\", expect_size=\"45779968\"] \n  48 [size=\"31856640\", alpha=\"0.04\", expect_size=\"15928320\"] \n  48 -> 50 [size =\"15928320\"]\n  49 [size=\"19103744\", alpha=\"0.17\", expect_size=\"9551872\"] \n  50 [size=\"98639872\", alpha=\"0.03\", expect_size=\"49319936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.489.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37515264\", alpha=\"0.17\", expect_size=\"18757632\"] \n  1 -> 4 [size =\"18757632\"]\n  1 -> 6 [size =\"18757632\"]\n  2 [size=\"21880832\", alpha=\"0.10\", expect_size=\"10940416\"] \n  2 -> 4 [size =\"10940416\"]\n  2 -> 6 [size =\"10940416\"]\n  3 [size=\"85569536\", alpha=\"0.18\", expect_size=\"42784768\"] \n  3 -> 4 [size =\"42784768\"]\n  3 -> 5 [size =\"42784768\"]\n  3 -> 6 [size =\"42784768\"]\n  4 [size=\"34897920\", alpha=\"0.09\", expect_size=\"17448960\"] \n  4 -> 7 [size =\"17448960\"]\n  5 [size=\"91551744\", alpha=\"0.16\", expect_size=\"45775872\"] \n  5 -> 8 [size =\"45775872\"]\n  6 [size=\"71555072\", alpha=\"0.03\", expect_size=\"35777536\"] \n  7 [size=\"21856256\", alpha=\"0.06\", expect_size=\"10928128\"] \n  7 -> 9 [size =\"10928128\"]\n  7 -> 10 [size =\"10928128\"]\n  8 [size=\"75919360\", alpha=\"0.18\", expect_size=\"37959680\"] \n  8 -> 10 [size =\"37959680\"]\n  9 [size=\"52819968\", alpha=\"0.13\", expect_size=\"26409984\"] \n  9 -> 11 [size =\"26409984\"]\n  9 -> 12 [size =\"26409984\"]\n  9 -> 13 [size =\"26409984\"]\n  10 [size=\"13559808\", alpha=\"0.11\", expect_size=\"6779904\"] \n  10 -> 11 [size =\"6779904\"]\n  10 -> 12 [size =\"6779904\"]\n  10 -> 13 [size =\"6779904\"]\n  11 [size=\"102940672\", alpha=\"0.07\", expect_size=\"51470336\"] \n  11 -> 14 [size =\"51470336\"]\n  12 [size=\"88338432\", alpha=\"0.17\", expect_size=\"44169216\"] \n  12 -> 15 [size =\"44169216\"]\n  13 [size=\"40892416\", alpha=\"0.09\", expect_size=\"20446208\"] \n  13 -> 15 [size =\"20446208\"]\n  14 [size=\"32382976\", alpha=\"0.17\", expect_size=\"16191488\"] \n  14 -> 16 [size =\"16191488\"]\n  15 [size=\"75974656\", alpha=\"0.11\", expect_size=\"37987328\"] \n  15 -> 17 [size =\"37987328\"]\n  16 [size=\"59258880\", alpha=\"0.11\", expect_size=\"29629440\"] \n  16 -> 19 [size =\"29629440\"]\n  17 [size=\"73652224\", alpha=\"0.20\", expect_size=\"36826112\"] \n  17 -> 18 [size =\"36826112\"]\n  17 -> 19 [size =\"36826112\"]\n  18 [size=\"100335616\", alpha=\"0.20\", expect_size=\"50167808\"] \n  19 [size=\"91817984\", alpha=\"0.06\", expect_size=\"45908992\"] \n  19 -> 20 [size =\"45908992\"]\n  19 -> 21 [size =\"45908992\"]\n  20 [size=\"57413632\", alpha=\"0.10\", expect_size=\"28706816\"] \n  20 -> 22 [size =\"28706816\"]\n  20 -> 23 [size =\"28706816\"]\n  21 [size=\"16392192\", alpha=\"0.20\", expect_size=\"8196096\"] \n  21 -> 22 [size =\"8196096\"]\n  21 -> 23 [size =\"8196096\"]\n  22 [size=\"48003072\", alpha=\"0.12\", expect_size=\"24001536\"] \n  22 -> 24 [size =\"24001536\"]\n  22 -> 25 [size =\"24001536\"]\n  22 -> 26 [size =\"24001536\"]\n  23 [size=\"31817728\", alpha=\"0.00\", expect_size=\"15908864\"] \n  23 -> 24 [size =\"15908864\"]\n  23 -> 25 [size =\"15908864\"]\n  23 -> 26 [size =\"15908864\"]\n  24 [size=\"74590208\", alpha=\"0.14\", expect_size=\"37295104\"] \n  24 -> 28 [size =\"37295104\"]\n  25 [size=\"62679040\", alpha=\"0.04\", expect_size=\"31339520\"] \n  25 -> 27 [size =\"31339520\"]\n  25 -> 29 [size =\"31339520\"]\n  26 [size=\"18006016\", alpha=\"0.08\", expect_size=\"9003008\"] \n  26 -> 28 [size =\"9003008\"]\n  26 -> 29 [size =\"9003008\"]\n  27 [size=\"68726784\", alpha=\"0.14\", expect_size=\"34363392\"] \n  27 -> 30 [size =\"34363392\"]\n  27 -> 31 [size =\"34363392\"]\n  27 -> 32 [size =\"34363392\"]\n  28 [size=\"66969600\", alpha=\"0.13\", expect_size=\"33484800\"] \n  28 -> 30 [size =\"33484800\"]\n  28 -> 31 [size =\"33484800\"]\n  28 -> 32 [size =\"33484800\"]\n  29 [size=\"66549760\", alpha=\"0.02\", expect_size=\"33274880\"] \n  29 -> 30 [size =\"33274880\"]\n  29 -> 31 [size =\"33274880\"]\n  30 [size=\"94691328\", alpha=\"0.11\", expect_size=\"47345664\"] \n  30 -> 34 [size =\"47345664\"]\n  30 -> 35 [size =\"47345664\"]\n  31 [size=\"47910912\", alpha=\"0.00\", expect_size=\"23955456\"] \n  31 -> 34 [size =\"23955456\"]\n  31 -> 35 [size =\"23955456\"]\n  32 [size=\"47605760\", alpha=\"0.06\", expect_size=\"23802880\"] \n  32 -> 33 [size =\"23802880\"]\n  32 -> 34 [size =\"23802880\"]\n  32 -> 35 [size =\"23802880\"]\n  33 [size=\"10803200\", alpha=\"0.18\", expect_size=\"5401600\"] \n  33 -> 36 [size =\"5401600\"]\n  34 [size=\"12589056\", alpha=\"0.14\", expect_size=\"6294528\"] \n  34 -> 36 [size =\"6294528\"]\n  34 -> 37 [size =\"6294528\"]\n  35 [size=\"77371392\", alpha=\"0.05\", expect_size=\"38685696\"] \n  35 -> 36 [size =\"38685696\"]\n  36 [size=\"97478656\", alpha=\"0.06\", expect_size=\"48739328\"] \n  36 -> 38 [size =\"48739328\"]\n  36 -> 40 [size =\"48739328\"]\n  37 [size=\"39606272\", alpha=\"0.20\", expect_size=\"19803136\"] \n  37 -> 39 [size =\"19803136\"]\n  38 [size=\"103870464\", alpha=\"0.13\", expect_size=\"51935232\"] \n  38 -> 42 [size =\"51935232\"]\n  38 -> 43 [size =\"51935232\"]\n  39 [size=\"72589312\", alpha=\"0.03\", expect_size=\"36294656\"] \n  39 -> 41 [size =\"36294656\"]\n  39 -> 42 [size =\"36294656\"]\n  39 -> 43 [size =\"36294656\"]\n  40 [size=\"82468864\", alpha=\"0.04\", expect_size=\"41234432\"] \n  40 -> 42 [size =\"41234432\"]\n  40 -> 43 [size =\"41234432\"]\n  41 [size=\"42215424\", alpha=\"0.05\", expect_size=\"21107712\"] \n  41 -> 44 [size =\"21107712\"]\n  41 -> 46 [size =\"21107712\"]\n  42 [size=\"44283904\", alpha=\"0.15\", expect_size=\"22141952\"] \n  42 -> 44 [size =\"22141952\"]\n  43 [size=\"72153088\", alpha=\"0.09\", expect_size=\"36076544\"] \n  43 -> 44 [size =\"36076544\"]\n  43 -> 45 [size =\"36076544\"]\n  43 -> 46 [size =\"36076544\"]\n  44 [size=\"61859840\", alpha=\"0.17\", expect_size=\"30929920\"] \n  45 [size=\"35301376\", alpha=\"0.16\", expect_size=\"17650688\"] \n  45 -> 47 [size =\"17650688\"]\n  45 -> 48 [size =\"17650688\"]\n  46 [size=\"57968640\", alpha=\"0.16\", expect_size=\"28984320\"] \n  46 -> 48 [size =\"28984320\"]\n  46 -> 49 [size =\"28984320\"]\n  47 [size=\"84262912\", alpha=\"0.09\", expect_size=\"42131456\"] \n  47 -> 50 [size =\"42131456\"]\n  48 [size=\"82982912\", alpha=\"0.13\", expect_size=\"41491456\"] \n  48 -> 50 [size =\"41491456\"]\n  49 [size=\"49602560\", alpha=\"0.10\", expect_size=\"24801280\"] \n  49 -> 50 [size =\"24801280\"]\n  50 [size=\"65462272\", alpha=\"0.04\", expect_size=\"32731136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129551360\", alpha=\"0.11\", expect_size=\"51820544\"] \n  1 -> 2 [size =\"51820544\"]\n  2 [size=\"71377920\", alpha=\"0.15\", expect_size=\"28551168\"] \n  2 -> 3 [size =\"28551168\"]\n  3 [size=\"51028480\", alpha=\"0.13\", expect_size=\"20411392\"] \n  3 -> 4 [size =\"20411392\"]\n  4 [size=\"29102080\", alpha=\"0.19\", expect_size=\"11640832\"] \n  4 -> 5 [size =\"11640832\"]\n  5 [size=\"128801280\", alpha=\"0.11\", expect_size=\"51520512\"] \n  5 -> 6 [size =\"51520512\"]\n  6 [size=\"36231680\", alpha=\"0.12\", expect_size=\"14492672\"] \n  6 -> 7 [size =\"14492672\"]\n  7 [size=\"122117120\", alpha=\"0.02\", expect_size=\"48846848\"] \n  7 -> 8 [size =\"48846848\"]\n  8 [size=\"26951680\", alpha=\"0.05\", expect_size=\"10780672\"] \n  8 -> 9 [size =\"10780672\"]\n  9 [size=\"66073600\", alpha=\"0.10\", expect_size=\"26429440\"] \n  9 -> 10 [size =\"26429440\"]\n  10 [size=\"41815040\", alpha=\"0.16\", expect_size=\"16726016\"] \n  10 -> 11 [size =\"16726016\"]\n  11 [size=\"47211520\", alpha=\"0.15\", expect_size=\"18884608\"] \n  11 -> 12 [size =\"18884608\"]\n  12 [size=\"109557760\", alpha=\"0.06\", expect_size=\"43823104\"] \n  12 -> 13 [size =\"43823104\"]\n  13 [size=\"77626880\", alpha=\"0.19\", expect_size=\"31050752\"] \n  13 -> 14 [size =\"31050752\"]\n  14 [size=\"34219520\", alpha=\"0.09\", expect_size=\"13687808\"] \n  14 -> 15 [size =\"13687808\"]\n  15 [size=\"30643200\", alpha=\"0.10\", expect_size=\"12257280\"] \n  15 -> 16 [size =\"12257280\"]\n  16 [size=\"94277120\", alpha=\"0.04\", expect_size=\"37710848\"] \n  16 -> 17 [size =\"37710848\"]\n  17 [size=\"49323520\", alpha=\"0.13\", expect_size=\"19729408\"] \n  17 -> 18 [size =\"19729408\"]\n  18 [size=\"63109120\", alpha=\"0.18\", expect_size=\"25243648\"] \n  18 -> 19 [size =\"25243648\"]\n  19 [size=\"90398720\", alpha=\"0.07\", expect_size=\"36159488\"] \n  19 -> 20 [size =\"36159488\"]\n  20 [size=\"33095680\", alpha=\"0.06\", expect_size=\"13238272\"] \n  20 -> 21 [size =\"13238272\"]\n  21 [size=\"130365440\", alpha=\"0.04\", expect_size=\"52146176\"] \n  21 -> 22 [size =\"52146176\"]\n  22 [size=\"102978560\", alpha=\"0.12\", expect_size=\"41191424\"] \n  22 -> 23 [size =\"41191424\"]\n  23 [size=\"18905600\", alpha=\"0.06\", expect_size=\"7562240\"] \n  23 -> 24 [size =\"7562240\"]\n  24 [size=\"128460800\", alpha=\"0.03\", expect_size=\"51384320\"] \n  24 -> 25 [size =\"51384320\"]\n  25 [size=\"62469120\", alpha=\"0.20\", expect_size=\"24987648\"] \n  25 -> 26 [size =\"24987648\"]\n  26 [size=\"119134720\", alpha=\"0.00\", expect_size=\"47653888\"] \n  26 -> 27 [size =\"47653888\"]\n  27 [size=\"25336320\", alpha=\"0.20\", expect_size=\"10134528\"] \n  27 -> 28 [size =\"10134528\"]\n  28 [size=\"103508480\", alpha=\"0.01\", expect_size=\"41403392\"] \n  28 -> 29 [size =\"41403392\"]\n  29 [size=\"92364800\", alpha=\"0.11\", expect_size=\"36945920\"] \n  29 -> 30 [size =\"36945920\"]\n  30 [size=\"16913920\", alpha=\"0.07\", expect_size=\"6765568\"] \n  30 -> 31 [size =\"6765568\"]\n  31 [size=\"49615360\", alpha=\"0.08\", expect_size=\"19846144\"] \n  31 -> 32 [size =\"19846144\"]\n  32 [size=\"70976000\", alpha=\"0.05\", expect_size=\"28390400\"] \n  32 -> 33 [size =\"28390400\"]\n  33 [size=\"21306880\", alpha=\"0.14\", expect_size=\"8522752\"] \n  33 -> 34 [size =\"8522752\"]\n  34 [size=\"56496640\", alpha=\"0.06\", expect_size=\"22598656\"] \n  34 -> 35 [size =\"22598656\"]\n  35 [size=\"74570240\", alpha=\"0.01\", expect_size=\"29828096\"] \n  35 -> 36 [size =\"29828096\"]\n  36 [size=\"73264640\", alpha=\"0.09\", expect_size=\"29305856\"] \n  36 -> 37 [size =\"29305856\"]\n  37 [size=\"75701760\", alpha=\"0.04\", expect_size=\"30280704\"] \n  37 -> 38 [size =\"30280704\"]\n  38 [size=\"72929280\", alpha=\"0.07\", expect_size=\"29171712\"] \n  38 -> 39 [size =\"29171712\"]\n  39 [size=\"78794240\", alpha=\"0.04\", expect_size=\"31517696\"] \n  39 -> 40 [size =\"31517696\"]\n  40 [size=\"28298240\", alpha=\"0.04\", expect_size=\"11319296\"] \n  40 -> 41 [size =\"11319296\"]\n  41 [size=\"68113920\", alpha=\"0.03\", expect_size=\"27245568\"] \n  41 -> 42 [size =\"27245568\"]\n  42 [size=\"114380800\", alpha=\"0.18\", expect_size=\"45752320\"] \n  42 -> 43 [size =\"45752320\"]\n  43 [size=\"27624960\", alpha=\"0.14\", expect_size=\"11049984\"] \n  43 -> 44 [size =\"11049984\"]\n  44 [size=\"108295680\", alpha=\"0.10\", expect_size=\"43318272\"] \n  44 -> 45 [size =\"43318272\"]\n  45 [size=\"23613440\", alpha=\"0.14\", expect_size=\"9445376\"] \n  45 -> 46 [size =\"9445376\"]\n  46 [size=\"27043840\", alpha=\"0.15\", expect_size=\"10817536\"] \n  46 -> 47 [size =\"10817536\"]\n  47 [size=\"81794560\", alpha=\"0.19\", expect_size=\"32717824\"] \n  47 -> 48 [size =\"32717824\"]\n  48 [size=\"106117120\", alpha=\"0.18\", expect_size=\"42446848\"] \n  48 -> 49 [size =\"42446848\"]\n  49 [size=\"32048640\", alpha=\"0.11\", expect_size=\"12819456\"] \n  49 -> 50 [size =\"12819456\"]\n  50 [size=\"54850560\", alpha=\"0.04\", expect_size=\"21940224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.490.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89299627\", alpha=\"0.14\", expect_size=\"26789888\"] \n  1 -> 39 [size =\"26789888\"]\n  1 -> 45 [size =\"26789888\"]\n  1 -> 46 [size =\"26789888\"]\n  1 -> 47 [size =\"26789888\"]\n  1 -> 48 [size =\"26789888\"]\n  1 -> 50 [size =\"26789888\"]\n  2 [size=\"71905280\", alpha=\"0.03\", expect_size=\"21571584\"] \n  2 -> 39 [size =\"21571584\"]\n  2 -> 40 [size =\"21571584\"]\n  2 -> 44 [size =\"21571584\"]\n  3 [size=\"46284800\", alpha=\"0.13\", expect_size=\"13885440\"] \n  3 -> 39 [size =\"13885440\"]\n  3 -> 44 [size =\"13885440\"]\n  3 -> 47 [size =\"13885440\"]\n  4 [size=\"21879467\", alpha=\"0.04\", expect_size=\"6563840\"] \n  4 -> 40 [size =\"6563840\"]\n  4 -> 47 [size =\"6563840\"]\n  5 [size=\"129720320\", alpha=\"0.14\", expect_size=\"38916096\"] \n  5 -> 39 [size =\"38916096\"]\n  5 -> 40 [size =\"38916096\"]\n  5 -> 47 [size =\"38916096\"]\n  6 [size=\"140557653\", alpha=\"0.18\", expect_size=\"42167296\"] \n  6 -> 47 [size =\"42167296\"]\n  7 [size=\"86415360\", alpha=\"0.13\", expect_size=\"25924608\"] \n  7 -> 45 [size =\"25924608\"]\n  7 -> 47 [size =\"25924608\"]\n  7 -> 48 [size =\"25924608\"]\n  7 -> 50 [size =\"25924608\"]\n  8 [size=\"90040320\", alpha=\"0.16\", expect_size=\"27012096\"] \n  8 -> 39 [size =\"27012096\"]\n  8 -> 42 [size =\"27012096\"]\n  8 -> 47 [size =\"27012096\"]\n  8 -> 50 [size =\"27012096\"]\n  9 [size=\"46394027\", alpha=\"0.05\", expect_size=\"13918208\"] \n  9 -> 42 [size =\"13918208\"]\n  9 -> 45 [size =\"13918208\"]\n  10 [size=\"109223253\", alpha=\"0.00\", expect_size=\"32766976\"] \n  10 -> 40 [size =\"32766976\"]\n  10 -> 41 [size =\"32766976\"]\n  10 -> 42 [size =\"32766976\"]\n  10 -> 43 [size =\"32766976\"]\n  10 -> 44 [size =\"32766976\"]\n  10 -> 45 [size =\"32766976\"]\n  10 -> 48 [size =\"32766976\"]\n  11 [size=\"159187627\", alpha=\"0.05\", expect_size=\"47756288\"] \n  11 -> 39 [size =\"47756288\"]\n  11 -> 40 [size =\"47756288\"]\n  11 -> 42 [size =\"47756288\"]\n  11 -> 45 [size =\"47756288\"]\n  11 -> 50 [size =\"47756288\"]\n  12 [size=\"111049387\", alpha=\"0.17\", expect_size=\"33314816\"] \n  12 -> 39 [size =\"33314816\"]\n  12 -> 40 [size =\"33314816\"]\n  12 -> 41 [size =\"33314816\"]\n  12 -> 44 [size =\"33314816\"]\n  13 [size=\"131194880\", alpha=\"0.05\", expect_size=\"39358464\"] \n  13 -> 40 [size =\"39358464\"]\n  13 -> 42 [size =\"39358464\"]\n  13 -> 44 [size =\"39358464\"]\n  13 -> 46 [size =\"39358464\"]\n  13 -> 47 [size =\"39358464\"]\n  13 -> 49 [size =\"39358464\"]\n  14 [size=\"77335893\", alpha=\"0.20\", expect_size=\"23200768\"] \n  14 -> 39 [size =\"23200768\"]\n  14 -> 40 [size =\"23200768\"]\n  14 -> 45 [size =\"23200768\"]\n  15 [size=\"112046080\", alpha=\"0.07\", expect_size=\"33613824\"] \n  15 -> 39 [size =\"33613824\"]\n  15 -> 49 [size =\"33613824\"]\n  16 [size=\"67700053\", alpha=\"0.00\", expect_size=\"20310016\"] \n  16 -> 40 [size =\"20310016\"]\n  16 -> 42 [size =\"20310016\"]\n  16 -> 45 [size =\"20310016\"]\n  16 -> 48 [size =\"20310016\"]\n  16 -> 49 [size =\"20310016\"]\n  17 [size=\"52520960\", alpha=\"0.10\", expect_size=\"15756288\"] \n  17 -> 40 [size =\"15756288\"]\n  17 -> 42 [size =\"15756288\"]\n  17 -> 44 [size =\"15756288\"]\n  17 -> 45 [size =\"15756288\"]\n  17 -> 47 [size =\"15756288\"]\n  17 -> 50 [size =\"15756288\"]\n  18 [size=\"158016853\", alpha=\"0.02\", expect_size=\"47405056\"] \n  18 -> 44 [size =\"47405056\"]\n  19 [size=\"128375467\", alpha=\"0.10\", expect_size=\"38512640\"] \n  19 -> 48 [size =\"38512640\"]\n  19 -> 49 [size =\"38512640\"]\n  20 [size=\"166690133\", alpha=\"0.09\", expect_size=\"50007040\"] \n  20 -> 40 [size =\"50007040\"]\n  20 -> 42 [size =\"50007040\"]\n  20 -> 50 [size =\"50007040\"]\n  21 [size=\"170062507\", alpha=\"0.17\", expect_size=\"51018752\"] \n  21 -> 40 [size =\"51018752\"]\n  21 -> 42 [size =\"51018752\"]\n  21 -> 50 [size =\"51018752\"]\n  22 [size=\"54285653\", alpha=\"0.13\", expect_size=\"16285696\"] \n  22 -> 42 [size =\"16285696\"]\n  22 -> 42 [size =\"16285696\"]\n  22 -> 47 [size =\"16285696\"]\n  23 [size=\"29658453\", alpha=\"0.12\", expect_size=\"8897536\"] \n  23 -> 40 [size =\"8897536\"]\n  23 -> 41 [size =\"8897536\"]\n  23 -> 43 [size =\"8897536\"]\n  23 -> 47 [size =\"8897536\"]\n  24 [size=\"66877440\", alpha=\"0.12\", expect_size=\"20063232\"] \n  24 -> 48 [size =\"20063232\"]\n  25 [size=\"63204693\", alpha=\"0.06\", expect_size=\"18961408\"] \n  25 -> 42 [size =\"18961408\"]\n  25 -> 43 [size =\"18961408\"]\n  25 -> 46 [size =\"18961408\"]\n  25 -> 49 [size =\"18961408\"]\n  26 [size=\"116787200\", alpha=\"0.15\", expect_size=\"35036160\"] \n  26 -> 39 [size =\"35036160\"]\n  26 -> 40 [size =\"35036160\"]\n  26 -> 44 [size =\"35036160\"]\n  26 -> 45 [size =\"35036160\"]\n  26 -> 50 [size =\"35036160\"]\n  27 [size=\"118664533\", alpha=\"0.14\", expect_size=\"35599360\"] \n  27 -> 39 [size =\"35599360\"]\n  27 -> 40 [size =\"35599360\"]\n  27 -> 44 [size =\"35599360\"]\n  27 -> 45 [size =\"35599360\"]\n  28 [size=\"43618987\", alpha=\"0.01\", expect_size=\"13085696\"] \n  28 -> 40 [size =\"13085696\"]\n  28 -> 40 [size =\"13085696\"]\n  28 -> 45 [size =\"13085696\"]\n  28 -> 48 [size =\"13085696\"]\n  28 -> 50 [size =\"13085696\"]\n  29 [size=\"57279147\", alpha=\"0.13\", expect_size=\"17183744\"] \n  29 -> 42 [size =\"17183744\"]\n  30 [size=\"132150613\", alpha=\"0.16\", expect_size=\"39645184\"] \n  30 -> 42 [size =\"39645184\"]\n  30 -> 45 [size =\"39645184\"]\n  30 -> 47 [size =\"39645184\"]\n  31 [size=\"45096960\", alpha=\"0.17\", expect_size=\"13529088\"] \n  31 -> 44 [size =\"13529088\"]\n  31 -> 45 [size =\"13529088\"]\n  31 -> 47 [size =\"13529088\"]\n  31 -> 49 [size =\"13529088\"]\n  32 [size=\"25227947\", alpha=\"0.09\", expect_size=\"7568384\"] \n  32 -> 39 [size =\"7568384\"]\n  32 -> 40 [size =\"7568384\"]\n  32 -> 44 [size =\"7568384\"]\n  32 -> 50 [size =\"7568384\"]\n  33 [size=\"126979413\", alpha=\"0.17\", expect_size=\"38093824\"] \n  33 -> 44 [size =\"38093824\"]\n  34 [size=\"64587093\", alpha=\"0.12\", expect_size=\"19376128\"] \n  34 -> 39 [size =\"19376128\"]\n  34 -> 50 [size =\"19376128\"]\n  35 [size=\"157023573\", alpha=\"0.19\", expect_size=\"47107072\"] \n  36 [size=\"44683947\", alpha=\"0.12\", expect_size=\"13405184\"] \n  36 -> 39 [size =\"13405184\"]\n  36 -> 43 [size =\"13405184\"]\n  36 -> 44 [size =\"13405184\"]\n  36 -> 49 [size =\"13405184\"]\n  36 -> 50 [size =\"13405184\"]\n  37 [size=\"165215573\", alpha=\"0.10\", expect_size=\"49564672\"] \n  37 -> 44 [size =\"49564672\"]\n  37 -> 48 [size =\"49564672\"]\n  38 [size=\"115705173\", alpha=\"0.05\", expect_size=\"34711552\"] \n  38 -> 40 [size =\"34711552\"]\n  38 -> 41 [size =\"34711552\"]\n  38 -> 48 [size =\"34711552\"]\n  38 -> 49 [size =\"34711552\"]\n  39 [size=\"126003200\", alpha=\"0.15\", expect_size=\"37800960\"] \n  40 [size=\"67741013\", alpha=\"0.04\", expect_size=\"20322304\"] \n  41 [size=\"32672427\", alpha=\"0.12\", expect_size=\"9801728\"] \n  42 [size=\"162508800\", alpha=\"0.05\", expect_size=\"48752640\"] \n  43 [size=\"78964053\", alpha=\"0.19\", expect_size=\"23689216\"] \n  44 [size=\"53039787\", alpha=\"0.00\", expect_size=\"15911936\"] \n  45 [size=\"144602453\", alpha=\"0.07\", expect_size=\"43380736\"] \n  46 [size=\"133649067\", alpha=\"0.06\", expect_size=\"40094720\"] \n  47 [size=\"70406827\", alpha=\"0.18\", expect_size=\"21122048\"] \n  48 [size=\"147203413\", alpha=\"0.13\", expect_size=\"44161024\"] \n  49 [size=\"32723627\", alpha=\"0.13\", expect_size=\"9817088\"] \n  50 [size=\"152442880\", alpha=\"0.08\", expect_size=\"45732864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.491.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79690240\", alpha=\"0.06\", expect_size=\"31876096\"] \n  1 -> 18 [size =\"31876096\"]\n  1 -> 27 [size =\"31876096\"]\n  1 -> 29 [size =\"31876096\"]\n  2 [size=\"39183360\", alpha=\"0.01\", expect_size=\"15673344\"] \n  2 -> 18 [size =\"15673344\"]\n  2 -> 19 [size =\"15673344\"]\n  2 -> 21 [size =\"15673344\"]\n  2 -> 27 [size =\"15673344\"]\n  2 -> 28 [size =\"15673344\"]\n  2 -> 30 [size =\"15673344\"]\n  3 [size=\"93324800\", alpha=\"0.01\", expect_size=\"37329920\"] \n  3 -> 15 [size =\"37329920\"]\n  3 -> 17 [size =\"37329920\"]\n  3 -> 19 [size =\"37329920\"]\n  3 -> 23 [size =\"37329920\"]\n  3 -> 30 [size =\"37329920\"]\n  4 [size=\"110835200\", alpha=\"0.16\", expect_size=\"44334080\"] \n  4 -> 17 [size =\"44334080\"]\n  4 -> 17 [size =\"44334080\"]\n  4 -> 19 [size =\"44334080\"]\n  4 -> 20 [size =\"44334080\"]\n  4 -> 23 [size =\"44334080\"]\n  4 -> 24 [size =\"44334080\"]\n  4 -> 26 [size =\"44334080\"]\n  4 -> 30 [size =\"44334080\"]\n  5 [size=\"23293440\", alpha=\"0.11\", expect_size=\"9317376\"] \n  5 -> 18 [size =\"9317376\"]\n  5 -> 19 [size =\"9317376\"]\n  5 -> 20 [size =\"9317376\"]\n  5 -> 21 [size =\"9317376\"]\n  5 -> 28 [size =\"9317376\"]\n  5 -> 29 [size =\"9317376\"]\n  6 [size=\"99614720\", alpha=\"0.13\", expect_size=\"39845888\"] \n  6 -> 17 [size =\"39845888\"]\n  6 -> 20 [size =\"39845888\"]\n  6 -> 21 [size =\"39845888\"]\n  6 -> 26 [size =\"39845888\"]\n  6 -> 29 [size =\"39845888\"]\n  7 [size=\"81976320\", alpha=\"0.11\", expect_size=\"32790528\"] \n  7 -> 17 [size =\"32790528\"]\n  7 -> 23 [size =\"32790528\"]\n  7 -> 25 [size =\"32790528\"]\n  7 -> 26 [size =\"32790528\"]\n  7 -> 27 [size =\"32790528\"]\n  8 [size=\"46039040\", alpha=\"0.06\", expect_size=\"18415616\"] \n  8 -> 20 [size =\"18415616\"]\n  8 -> 22 [size =\"18415616\"]\n  8 -> 31 [size =\"18415616\"]\n  9 [size=\"64957440\", alpha=\"0.04\", expect_size=\"25982976\"] \n  9 -> 19 [size =\"25982976\"]\n  9 -> 20 [size =\"25982976\"]\n  9 -> 22 [size =\"25982976\"]\n  9 -> 27 [size =\"25982976\"]\n  9 -> 31 [size =\"25982976\"]\n  10 [size=\"123563520\", alpha=\"0.06\", expect_size=\"49425408\"] \n  10 -> 18 [size =\"49425408\"]\n  10 -> 21 [size =\"49425408\"]\n  10 -> 25 [size =\"49425408\"]\n  10 -> 26 [size =\"49425408\"]\n  10 -> 27 [size =\"49425408\"]\n  11 [size=\"110036480\", alpha=\"0.01\", expect_size=\"44014592\"] \n  11 -> 22 [size =\"44014592\"]\n  11 -> 25 [size =\"44014592\"]\n  11 -> 25 [size =\"44014592\"]\n  11 -> 27 [size =\"44014592\"]\n  11 -> 29 [size =\"44014592\"]\n  12 [size=\"28021760\", alpha=\"0.07\", expect_size=\"11208704\"] \n  12 -> 18 [size =\"11208704\"]\n  12 -> 21 [size =\"11208704\"]\n  12 -> 31 [size =\"11208704\"]\n  13 [size=\"35857920\", alpha=\"0.15\", expect_size=\"14343168\"] \n  13 -> 16 [size =\"14343168\"]\n  13 -> 20 [size =\"14343168\"]\n  13 -> 21 [size =\"14343168\"]\n  13 -> 22 [size =\"14343168\"]\n  13 -> 25 [size =\"14343168\"]\n  13 -> 27 [size =\"14343168\"]\n  13 -> 28 [size =\"14343168\"]\n  13 -> 31 [size =\"14343168\"]\n  14 [size=\"41436160\", alpha=\"0.19\", expect_size=\"16574464\"] \n  14 -> 29 [size =\"16574464\"]\n  15 [size=\"16535040\", alpha=\"0.05\", expect_size=\"6614016\"] \n  15 -> 33 [size =\"6614016\"]\n  15 -> 37 [size =\"6614016\"]\n  16 [size=\"83128320\", alpha=\"0.17\", expect_size=\"33251328\"] \n  16 -> 34 [size =\"33251328\"]\n  16 -> 37 [size =\"33251328\"]\n  16 -> 39 [size =\"33251328\"]\n  17 [size=\"39206400\", alpha=\"0.11\", expect_size=\"15682560\"] \n  17 -> 33 [size =\"15682560\"]\n  18 [size=\"102090240\", alpha=\"0.13\", expect_size=\"40836096\"] \n  18 -> 33 [size =\"40836096\"]\n  18 -> 34 [size =\"40836096\"]\n  18 -> 35 [size =\"40836096\"]\n  18 -> 37 [size =\"40836096\"]\n  19 [size=\"18572800\", alpha=\"0.08\", expect_size=\"7429120\"] \n  19 -> 37 [size =\"7429120\"]\n  19 -> 38 [size =\"7429120\"]\n  20 [size=\"44129280\", alpha=\"0.15\", expect_size=\"17651712\"] \n  20 -> 34 [size =\"17651712\"]\n  20 -> 35 [size =\"17651712\"]\n  20 -> 38 [size =\"17651712\"]\n  20 -> 39 [size =\"17651712\"]\n  21 [size=\"77304320\", alpha=\"0.14\", expect_size=\"30921728\"] \n  21 -> 33 [size =\"30921728\"]\n  21 -> 38 [size =\"30921728\"]\n  22 [size=\"85795840\", alpha=\"0.17\", expect_size=\"34318336\"] \n  22 -> 32 [size =\"34318336\"]\n  22 -> 33 [size =\"34318336\"]\n  23 [size=\"129413120\", alpha=\"0.13\", expect_size=\"51765248\"] \n  23 -> 36 [size =\"51765248\"]\n  23 -> 37 [size =\"51765248\"]\n  23 -> 38 [size =\"51765248\"]\n  24 [size=\"97067520\", alpha=\"0.07\", expect_size=\"38827008\"] \n  24 -> 32 [size =\"38827008\"]\n  24 -> 33 [size =\"38827008\"]\n  24 -> 39 [size =\"38827008\"]\n  25 [size=\"88537600\", alpha=\"0.02\", expect_size=\"35415040\"] \n  25 -> 33 [size =\"35415040\"]\n  25 -> 37 [size =\"35415040\"]\n  25 -> 39 [size =\"35415040\"]\n  26 [size=\"117399040\", alpha=\"0.11\", expect_size=\"46959616\"] \n  26 -> 34 [size =\"46959616\"]\n  26 -> 37 [size =\"46959616\"]\n  27 [size=\"97894400\", alpha=\"0.13\", expect_size=\"39157760\"] \n  27 -> 38 [size =\"39157760\"]\n  28 [size=\"44387840\", alpha=\"0.19\", expect_size=\"17755136\"] \n  28 -> 32 [size =\"17755136\"]\n  28 -> 39 [size =\"17755136\"]\n  29 [size=\"122186240\", alpha=\"0.15\", expect_size=\"48874496\"] \n  29 -> 33 [size =\"48874496\"]\n  29 -> 34 [size =\"48874496\"]\n  29 -> 39 [size =\"48874496\"]\n  30 [size=\"49269760\", alpha=\"0.10\", expect_size=\"19707904\"] \n  30 -> 32 [size =\"19707904\"]\n  30 -> 33 [size =\"19707904\"]\n  30 -> 37 [size =\"19707904\"]\n  31 [size=\"19788800\", alpha=\"0.00\", expect_size=\"7915520\"] \n  32 [size=\"100331520\", alpha=\"0.14\", expect_size=\"40132608\"] \n  32 -> 48 [size =\"40132608\"]\n  33 [size=\"81044480\", alpha=\"0.11\", expect_size=\"32417792\"] \n  33 -> 45 [size =\"32417792\"]\n  34 [size=\"42145280\", alpha=\"0.13\", expect_size=\"16858112\"] \n  34 -> 47 [size =\"16858112\"]\n  34 -> 50 [size =\"16858112\"]\n  35 [size=\"81361920\", alpha=\"0.16\", expect_size=\"32544768\"] \n  35 -> 42 [size =\"32544768\"]\n  35 -> 43 [size =\"32544768\"]\n  35 -> 44 [size =\"32544768\"]\n  35 -> 48 [size =\"32544768\"]\n  36 [size=\"90918400\", alpha=\"0.10\", expect_size=\"36367360\"] \n  36 -> 40 [size =\"36367360\"]\n  36 -> 44 [size =\"36367360\"]\n  36 -> 48 [size =\"36367360\"]\n  36 -> 49 [size =\"36367360\"]\n  37 [size=\"39357440\", alpha=\"0.09\", expect_size=\"15742976\"] \n  37 -> 43 [size =\"15742976\"]\n  37 -> 44 [size =\"15742976\"]\n  38 [size=\"113518080\", alpha=\"0.03\", expect_size=\"45407232\"] \n  38 -> 40 [size =\"45407232\"]\n  38 -> 41 [size =\"45407232\"]\n  38 -> 44 [size =\"45407232\"]\n  38 -> 48 [size =\"45407232\"]\n  39 [size=\"110400000\", alpha=\"0.18\", expect_size=\"44160000\"] \n  39 -> 41 [size =\"44160000\"]\n  39 -> 45 [size =\"44160000\"]\n  39 -> 46 [size =\"44160000\"]\n  40 [size=\"81856000\", alpha=\"0.18\", expect_size=\"32742400\"] \n  41 [size=\"20382720\", alpha=\"0.09\", expect_size=\"8153088\"] \n  42 [size=\"22906880\", alpha=\"0.13\", expect_size=\"9162752\"] \n  43 [size=\"104348160\", alpha=\"0.16\", expect_size=\"41739264\"] \n  44 [size=\"51527680\", alpha=\"0.13\", expect_size=\"20611072\"] \n  45 [size=\"128704000\", alpha=\"0.03\", expect_size=\"51481600\"] \n  46 [size=\"103380480\", alpha=\"0.11\", expect_size=\"41352192\"] \n  47 [size=\"45578240\", alpha=\"0.13\", expect_size=\"18231296\"] \n  48 [size=\"99363840\", alpha=\"0.01\", expect_size=\"39745536\"] \n  49 [size=\"117788160\", alpha=\"0.07\", expect_size=\"47115264\"] \n  50 [size=\"106316800\", alpha=\"0.19\", expect_size=\"42526720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.492.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52101120\", alpha=\"0.15\", expect_size=\"20840448\"] \n  1 -> 14 [size =\"20840448\"]\n  1 -> 15 [size =\"20840448\"]\n  2 [size=\"92369920\", alpha=\"0.02\", expect_size=\"36947968\"] \n  2 -> 9 [size =\"36947968\"]\n  2 -> 10 [size =\"36947968\"]\n  2 -> 11 [size =\"36947968\"]\n  2 -> 14 [size =\"36947968\"]\n  3 [size=\"32870400\", alpha=\"0.10\", expect_size=\"13148160\"] \n  3 -> 10 [size =\"13148160\"]\n  3 -> 10 [size =\"13148160\"]\n  4 [size=\"30502400\", alpha=\"0.11\", expect_size=\"12200960\"] \n  4 -> 9 [size =\"12200960\"]\n  4 -> 15 [size =\"12200960\"]\n  5 [size=\"67699200\", alpha=\"0.02\", expect_size=\"27079680\"] \n  5 -> 13 [size =\"27079680\"]\n  5 -> 14 [size =\"27079680\"]\n  6 [size=\"81600000\", alpha=\"0.14\", expect_size=\"32640000\"] \n  6 -> 13 [size =\"32640000\"]\n  7 [size=\"34086400\", alpha=\"0.09\", expect_size=\"13634560\"] \n  7 -> 10 [size =\"13634560\"]\n  7 -> 12 [size =\"13634560\"]\n  7 -> 13 [size =\"13634560\"]\n  7 -> 15 [size =\"13634560\"]\n  8 [size=\"108759040\", alpha=\"0.04\", expect_size=\"43503616\"] \n  8 -> 10 [size =\"43503616\"]\n  8 -> 12 [size =\"43503616\"]\n  8 -> 13 [size =\"43503616\"]\n  8 -> 14 [size =\"43503616\"]\n  8 -> 15 [size =\"43503616\"]\n  9 [size=\"75166720\", alpha=\"0.14\", expect_size=\"30066688\"] \n  10 [size=\"44439040\", alpha=\"0.07\", expect_size=\"17775616\"] \n  10 -> 16 [size =\"17775616\"]\n  10 -> 18 [size =\"17775616\"]\n  10 -> 20 [size =\"17775616\"]\n  11 [size=\"127267840\", alpha=\"0.06\", expect_size=\"50907136\"] \n  11 -> 16 [size =\"50907136\"]\n  11 -> 20 [size =\"50907136\"]\n  12 [size=\"95966720\", alpha=\"0.08\", expect_size=\"38386688\"] \n  12 -> 16 [size =\"38386688\"]\n  12 -> 17 [size =\"38386688\"]\n  12 -> 19 [size =\"38386688\"]\n  13 [size=\"107320320\", alpha=\"0.10\", expect_size=\"42928128\"] \n  13 -> 16 [size =\"42928128\"]\n  13 -> 19 [size =\"42928128\"]\n  14 [size=\"48960000\", alpha=\"0.11\", expect_size=\"19584000\"] \n  15 [size=\"114524160\", alpha=\"0.04\", expect_size=\"45809664\"] \n  15 -> 16 [size =\"45809664\"]\n  15 -> 19 [size =\"45809664\"]\n  15 -> 20 [size =\"45809664\"]\n  16 [size=\"127974400\", alpha=\"0.08\", expect_size=\"51189760\"] \n  16 -> 21 [size =\"51189760\"]\n  16 -> 23 [size =\"51189760\"]\n  16 -> 24 [size =\"51189760\"]\n  16 -> 25 [size =\"51189760\"]\n  16 -> 26 [size =\"51189760\"]\n  17 [size=\"92016640\", alpha=\"0.04\", expect_size=\"36806656\"] \n  17 -> 25 [size =\"36806656\"]\n  18 [size=\"24266240\", alpha=\"0.20\", expect_size=\"9706496\"] \n  18 -> 22 [size =\"9706496\"]\n  18 -> 23 [size =\"9706496\"]\n  18 -> 24 [size =\"9706496\"]\n  18 -> 25 [size =\"9706496\"]\n  19 [size=\"50094080\", alpha=\"0.18\", expect_size=\"20037632\"] \n  19 -> 21 [size =\"20037632\"]\n  19 -> 24 [size =\"20037632\"]\n  19 -> 25 [size =\"20037632\"]\n  19 -> 26 [size =\"20037632\"]\n  20 [size=\"15907840\", alpha=\"0.04\", expect_size=\"6363136\"] \n  20 -> 21 [size =\"6363136\"]\n  20 -> 24 [size =\"6363136\"]\n  20 -> 26 [size =\"6363136\"]\n  21 [size=\"54415360\", alpha=\"0.17\", expect_size=\"21766144\"] \n  21 -> 27 [size =\"21766144\"]\n  21 -> 29 [size =\"21766144\"]\n  21 -> 33 [size =\"21766144\"]\n  21 -> 34 [size =\"21766144\"]\n  22 [size=\"92605440\", alpha=\"0.03\", expect_size=\"37042176\"] \n  22 -> 33 [size =\"37042176\"]\n  22 -> 34 [size =\"37042176\"]\n  23 [size=\"20224000\", alpha=\"0.12\", expect_size=\"8089600\"] \n  23 -> 27 [size =\"8089600\"]\n  23 -> 30 [size =\"8089600\"]\n  23 -> 31 [size =\"8089600\"]\n  23 -> 32 [size =\"8089600\"]\n  24 [size=\"77306880\", alpha=\"0.05\", expect_size=\"30922752\"] \n  24 -> 30 [size =\"30922752\"]\n  24 -> 31 [size =\"30922752\"]\n  25 [size=\"21496320\", alpha=\"0.06\", expect_size=\"8598528\"] \n  25 -> 28 [size =\"8598528\"]\n  25 -> 29 [size =\"8598528\"]\n  25 -> 30 [size =\"8598528\"]\n  25 -> 32 [size =\"8598528\"]\n  26 [size=\"43955200\", alpha=\"0.19\", expect_size=\"17582080\"] \n  26 -> 27 [size =\"17582080\"]\n  26 -> 28 [size =\"17582080\"]\n  26 -> 29 [size =\"17582080\"]\n  26 -> 33 [size =\"17582080\"]\n  26 -> 34 [size =\"17582080\"]\n  27 [size=\"89809920\", alpha=\"0.16\", expect_size=\"35923968\"] \n  27 -> 36 [size =\"35923968\"]\n  27 -> 37 [size =\"35923968\"]\n  27 -> 40 [size =\"35923968\"]\n  28 [size=\"110860800\", alpha=\"0.09\", expect_size=\"44344320\"] \n  28 -> 36 [size =\"44344320\"]\n  28 -> 40 [size =\"44344320\"]\n  29 [size=\"110730240\", alpha=\"0.13\", expect_size=\"44292096\"] \n  29 -> 35 [size =\"44292096\"]\n  29 -> 36 [size =\"44292096\"]\n  29 -> 39 [size =\"44292096\"]\n  29 -> 40 [size =\"44292096\"]\n  30 [size=\"99041280\", alpha=\"0.02\", expect_size=\"39616512\"] \n  30 -> 36 [size =\"39616512\"]\n  30 -> 39 [size =\"39616512\"]\n  30 -> 40 [size =\"39616512\"]\n  31 [size=\"122915840\", alpha=\"0.10\", expect_size=\"49166336\"] \n  31 -> 36 [size =\"49166336\"]\n  32 [size=\"103380480\", alpha=\"0.12\", expect_size=\"41352192\"] \n  32 -> 35 [size =\"41352192\"]\n  32 -> 39 [size =\"41352192\"]\n  32 -> 40 [size =\"41352192\"]\n  33 [size=\"119703040\", alpha=\"0.10\", expect_size=\"47881216\"] \n  34 [size=\"73679360\", alpha=\"0.15\", expect_size=\"29471744\"] \n  34 -> 36 [size =\"29471744\"]\n  34 -> 37 [size =\"29471744\"]\n  34 -> 38 [size =\"29471744\"]\n  35 [size=\"100674560\", alpha=\"0.16\", expect_size=\"40269824\"] \n  35 -> 41 [size =\"40269824\"]\n  35 -> 42 [size =\"40269824\"]\n  35 -> 43 [size =\"40269824\"]\n  35 -> 44 [size =\"40269824\"]\n  35 -> 45 [size =\"40269824\"]\n  35 -> 47 [size =\"40269824\"]\n  36 [size=\"19353600\", alpha=\"0.17\", expect_size=\"7741440\"] \n  36 -> 44 [size =\"7741440\"]\n  36 -> 45 [size =\"7741440\"]\n  36 -> 47 [size =\"7741440\"]\n  37 [size=\"16168960\", alpha=\"0.12\", expect_size=\"6467584\"] \n  37 -> 43 [size =\"6467584\"]\n  37 -> 44 [size =\"6467584\"]\n  37 -> 45 [size =\"6467584\"]\n  37 -> 46 [size =\"6467584\"]\n  38 [size=\"112107520\", alpha=\"0.08\", expect_size=\"44843008\"] \n  38 -> 41 [size =\"44843008\"]\n  38 -> 44 [size =\"44843008\"]\n  38 -> 46 [size =\"44843008\"]\n  38 -> 47 [size =\"44843008\"]\n  39 [size=\"48924160\", alpha=\"0.10\", expect_size=\"19569664\"] \n  39 -> 41 [size =\"19569664\"]\n  39 -> 45 [size =\"19569664\"]\n  39 -> 46 [size =\"19569664\"]\n  39 -> 47 [size =\"19569664\"]\n  40 [size=\"124610560\", alpha=\"0.13\", expect_size=\"49844224\"] \n  40 -> 41 [size =\"49844224\"]\n  41 [size=\"16604160\", alpha=\"0.03\", expect_size=\"6641664\"] \n  41 -> 49 [size =\"6641664\"]\n  41 -> 50 [size =\"6641664\"]\n  42 [size=\"74997760\", alpha=\"0.07\", expect_size=\"29999104\"] \n  42 -> 50 [size =\"29999104\"]\n  43 [size=\"28756480\", alpha=\"0.12\", expect_size=\"11502592\"] \n  43 -> 49 [size =\"11502592\"]\n  44 [size=\"90063360\", alpha=\"0.07\", expect_size=\"36025344\"] \n  44 -> 49 [size =\"36025344\"]\n  44 -> 50 [size =\"36025344\"]\n  45 [size=\"58841600\", alpha=\"0.04\", expect_size=\"23536640\"] \n  45 -> 48 [size =\"23536640\"]\n  45 -> 49 [size =\"23536640\"]\n  46 [size=\"36510720\", alpha=\"0.06\", expect_size=\"14604288\"] \n  46 -> 49 [size =\"14604288\"]\n  47 [size=\"19973120\", alpha=\"0.02\", expect_size=\"7989248\"] \n  47 -> 50 [size =\"7989248\"]\n  48 [size=\"88138240\", alpha=\"0.13\", expect_size=\"35255296\"] \n  49 [size=\"16238080\", alpha=\"0.02\", expect_size=\"6495232\"] \n  50 [size=\"77186560\", alpha=\"0.05\", expect_size=\"30874624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.493.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74754048\", alpha=\"0.12\", expect_size=\"37377024\"] \n  1 -> 36 [size =\"37377024\"]\n  1 -> 37 [size =\"37377024\"]\n  1 -> 41 [size =\"37377024\"]\n  1 -> 43 [size =\"37377024\"]\n  1 -> 45 [size =\"37377024\"]\n  1 -> 46 [size =\"37377024\"]\n  1 -> 49 [size =\"37377024\"]\n  1 -> 50 [size =\"37377024\"]\n  2 [size=\"42022912\", alpha=\"0.16\", expect_size=\"21011456\"] \n  2 -> 36 [size =\"21011456\"]\n  2 -> 37 [size =\"21011456\"]\n  2 -> 38 [size =\"21011456\"]\n  2 -> 39 [size =\"21011456\"]\n  2 -> 40 [size =\"21011456\"]\n  2 -> 41 [size =\"21011456\"]\n  2 -> 43 [size =\"21011456\"]\n  2 -> 46 [size =\"21011456\"]\n  2 -> 50 [size =\"21011456\"]\n  3 [size=\"98588672\", alpha=\"0.15\", expect_size=\"49294336\"] \n  3 -> 37 [size =\"49294336\"]\n  3 -> 38 [size =\"49294336\"]\n  3 -> 40 [size =\"49294336\"]\n  3 -> 41 [size =\"49294336\"]\n  3 -> 42 [size =\"49294336\"]\n  3 -> 43 [size =\"49294336\"]\n  3 -> 43 [size =\"49294336\"]\n  3 -> 45 [size =\"49294336\"]\n  3 -> 46 [size =\"49294336\"]\n  3 -> 47 [size =\"49294336\"]\n  3 -> 49 [size =\"49294336\"]\n  3 -> 50 [size =\"49294336\"]\n  4 [size=\"103581696\", alpha=\"0.14\", expect_size=\"51790848\"] \n  4 -> 36 [size =\"51790848\"]\n  4 -> 38 [size =\"51790848\"]\n  4 -> 40 [size =\"51790848\"]\n  4 -> 42 [size =\"51790848\"]\n  4 -> 45 [size =\"51790848\"]\n  4 -> 46 [size =\"51790848\"]\n  4 -> 48 [size =\"51790848\"]\n  4 -> 49 [size =\"51790848\"]\n  5 [size=\"70889472\", alpha=\"0.07\", expect_size=\"35444736\"] \n  5 -> 35 [size =\"35444736\"]\n  5 -> 36 [size =\"35444736\"]\n  5 -> 38 [size =\"35444736\"]\n  5 -> 40 [size =\"35444736\"]\n  5 -> 41 [size =\"35444736\"]\n  5 -> 45 [size =\"35444736\"]\n  5 -> 46 [size =\"35444736\"]\n  5 -> 48 [size =\"35444736\"]\n  5 -> 50 [size =\"35444736\"]\n  6 [size=\"73119744\", alpha=\"0.17\", expect_size=\"36559872\"] \n  6 -> 34 [size =\"36559872\"]\n  6 -> 40 [size =\"36559872\"]\n  6 -> 41 [size =\"36559872\"]\n  6 -> 43 [size =\"36559872\"]\n  6 -> 46 [size =\"36559872\"]\n  6 -> 48 [size =\"36559872\"]\n  7 [size=\"66480128\", alpha=\"0.00\", expect_size=\"33240064\"] \n  7 -> 34 [size =\"33240064\"]\n  7 -> 36 [size =\"33240064\"]\n  7 -> 41 [size =\"33240064\"]\n  7 -> 43 [size =\"33240064\"]\n  7 -> 48 [size =\"33240064\"]\n  7 -> 50 [size =\"33240064\"]\n  8 [size=\"39415808\", alpha=\"0.03\", expect_size=\"19707904\"] \n  8 -> 34 [size =\"19707904\"]\n  8 -> 36 [size =\"19707904\"]\n  8 -> 38 [size =\"19707904\"]\n  8 -> 50 [size =\"19707904\"]\n  9 [size=\"65087488\", alpha=\"0.12\", expect_size=\"32543744\"] \n  9 -> 34 [size =\"32543744\"]\n  9 -> 35 [size =\"32543744\"]\n  9 -> 36 [size =\"32543744\"]\n  9 -> 37 [size =\"32543744\"]\n  9 -> 39 [size =\"32543744\"]\n  9 -> 43 [size =\"32543744\"]\n  9 -> 45 [size =\"32543744\"]\n  9 -> 47 [size =\"32543744\"]\n  9 -> 49 [size =\"32543744\"]\n  10 [size=\"49823744\", alpha=\"0.02\", expect_size=\"24911872\"] \n  10 -> 34 [size =\"24911872\"]\n  10 -> 35 [size =\"24911872\"]\n  10 -> 36 [size =\"24911872\"]\n  10 -> 37 [size =\"24911872\"]\n  10 -> 40 [size =\"24911872\"]\n  10 -> 41 [size =\"24911872\"]\n  10 -> 42 [size =\"24911872\"]\n  10 -> 43 [size =\"24911872\"]\n  10 -> 44 [size =\"24911872\"]\n  10 -> 45 [size =\"24911872\"]\n  10 -> 47 [size =\"24911872\"]\n  10 -> 48 [size =\"24911872\"]\n  10 -> 49 [size =\"24911872\"]\n  10 -> 50 [size =\"24911872\"]\n  11 [size=\"100595712\", alpha=\"0.14\", expect_size=\"50297856\"] \n  11 -> 34 [size =\"50297856\"]\n  11 -> 35 [size =\"50297856\"]\n  11 -> 37 [size =\"50297856\"]\n  11 -> 38 [size =\"50297856\"]\n  11 -> 41 [size =\"50297856\"]\n  11 -> 42 [size =\"50297856\"]\n  11 -> 43 [size =\"50297856\"]\n  11 -> 47 [size =\"50297856\"]\n  11 -> 49 [size =\"50297856\"]\n  12 [size=\"63184896\", alpha=\"0.01\", expect_size=\"31592448\"] \n  12 -> 38 [size =\"31592448\"]\n  12 -> 42 [size =\"31592448\"]\n  12 -> 46 [size =\"31592448\"]\n  13 [size=\"43128832\", alpha=\"0.14\", expect_size=\"21564416\"] \n  13 -> 37 [size =\"21564416\"]\n  13 -> 41 [size =\"21564416\"]\n  13 -> 45 [size =\"21564416\"]\n  14 [size=\"19341312\", alpha=\"0.01\", expect_size=\"9670656\"] \n  14 -> 34 [size =\"9670656\"]\n  14 -> 37 [size =\"9670656\"]\n  14 -> 40 [size =\"9670656\"]\n  14 -> 41 [size =\"9670656\"]\n  14 -> 42 [size =\"9670656\"]\n  14 -> 45 [size =\"9670656\"]\n  14 -> 46 [size =\"9670656\"]\n  14 -> 47 [size =\"9670656\"]\n  14 -> 48 [size =\"9670656\"]\n  14 -> 49 [size =\"9670656\"]\n  14 -> 50 [size =\"9670656\"]\n  15 [size=\"84740096\", alpha=\"0.11\", expect_size=\"42370048\"] \n  15 -> 34 [size =\"42370048\"]\n  15 -> 35 [size =\"42370048\"]\n  15 -> 38 [size =\"42370048\"]\n  15 -> 40 [size =\"42370048\"]\n  15 -> 41 [size =\"42370048\"]\n  15 -> 45 [size =\"42370048\"]\n  15 -> 46 [size =\"42370048\"]\n  15 -> 48 [size =\"42370048\"]\n  15 -> 50 [size =\"42370048\"]\n  16 [size=\"24369152\", alpha=\"0.10\", expect_size=\"12184576\"] \n  16 -> 34 [size =\"12184576\"]\n  16 -> 35 [size =\"12184576\"]\n  16 -> 37 [size =\"12184576\"]\n  16 -> 38 [size =\"12184576\"]\n  16 -> 45 [size =\"12184576\"]\n  16 -> 47 [size =\"12184576\"]\n  16 -> 50 [size =\"12184576\"]\n  17 [size=\"12056576\", alpha=\"0.15\", expect_size=\"6028288\"] \n  17 -> 36 [size =\"6028288\"]\n  17 -> 38 [size =\"6028288\"]\n  17 -> 39 [size =\"6028288\"]\n  17 -> 41 [size =\"6028288\"]\n  17 -> 43 [size =\"6028288\"]\n  17 -> 45 [size =\"6028288\"]\n  17 -> 49 [size =\"6028288\"]\n  17 -> 50 [size =\"6028288\"]\n  18 [size=\"12765184\", alpha=\"0.08\", expect_size=\"6382592\"] \n  18 -> 35 [size =\"6382592\"]\n  18 -> 36 [size =\"6382592\"]\n  18 -> 40 [size =\"6382592\"]\n  18 -> 41 [size =\"6382592\"]\n  18 -> 42 [size =\"6382592\"]\n  18 -> 45 [size =\"6382592\"]\n  18 -> 48 [size =\"6382592\"]\n  18 -> 49 [size =\"6382592\"]\n  19 [size=\"25876480\", alpha=\"0.01\", expect_size=\"12938240\"] \n  19 -> 34 [size =\"12938240\"]\n  19 -> 35 [size =\"12938240\"]\n  19 -> 41 [size =\"12938240\"]\n  19 -> 47 [size =\"12938240\"]\n  19 -> 49 [size =\"12938240\"]\n  20 [size=\"81786880\", alpha=\"0.11\", expect_size=\"40893440\"] \n  20 -> 34 [size =\"40893440\"]\n  20 -> 40 [size =\"40893440\"]\n  20 -> 45 [size =\"40893440\"]\n  20 -> 46 [size =\"40893440\"]\n  20 -> 49 [size =\"40893440\"]\n  21 [size=\"91052032\", alpha=\"0.15\", expect_size=\"45526016\"] \n  21 -> 39 [size =\"45526016\"]\n  21 -> 40 [size =\"45526016\"]\n  21 -> 45 [size =\"45526016\"]\n  21 -> 46 [size =\"45526016\"]\n  21 -> 47 [size =\"45526016\"]\n  21 -> 49 [size =\"45526016\"]\n  21 -> 50 [size =\"45526016\"]\n  22 [size=\"65038336\", alpha=\"0.06\", expect_size=\"32519168\"] \n  22 -> 34 [size =\"32519168\"]\n  22 -> 40 [size =\"32519168\"]\n  22 -> 41 [size =\"32519168\"]\n  22 -> 43 [size =\"32519168\"]\n  22 -> 45 [size =\"32519168\"]\n  22 -> 47 [size =\"32519168\"]\n  22 -> 48 [size =\"32519168\"]\n  22 -> 49 [size =\"32519168\"]\n  23 [size=\"70330368\", alpha=\"0.15\", expect_size=\"35165184\"] \n  23 -> 38 [size =\"35165184\"]\n  23 -> 39 [size =\"35165184\"]\n  23 -> 40 [size =\"35165184\"]\n  23 -> 41 [size =\"35165184\"]\n  23 -> 43 [size =\"35165184\"]\n  23 -> 46 [size =\"35165184\"]\n  23 -> 47 [size =\"35165184\"]\n  23 -> 49 [size =\"35165184\"]\n  24 [size=\"43401216\", alpha=\"0.05\", expect_size=\"21700608\"] \n  24 -> 41 [size =\"21700608\"]\n  24 -> 43 [size =\"21700608\"]\n  24 -> 45 [size =\"21700608\"]\n  24 -> 46 [size =\"21700608\"]\n  24 -> 47 [size =\"21700608\"]\n  24 -> 50 [size =\"21700608\"]\n  25 [size=\"50016256\", alpha=\"0.06\", expect_size=\"25008128\"] \n  25 -> 41 [size =\"25008128\"]\n  25 -> 42 [size =\"25008128\"]\n  25 -> 46 [size =\"25008128\"]\n  25 -> 47 [size =\"25008128\"]\n  25 -> 47 [size =\"25008128\"]\n  26 [size=\"104263680\", alpha=\"0.02\", expect_size=\"52131840\"] \n  26 -> 36 [size =\"52131840\"]\n  26 -> 37 [size =\"52131840\"]\n  26 -> 46 [size =\"52131840\"]\n  26 -> 47 [size =\"52131840\"]\n  26 -> 48 [size =\"52131840\"]\n  26 -> 50 [size =\"52131840\"]\n  27 [size=\"56113152\", alpha=\"0.09\", expect_size=\"28056576\"] \n  27 -> 36 [size =\"28056576\"]\n  27 -> 39 [size =\"28056576\"]\n  27 -> 42 [size =\"28056576\"]\n  27 -> 43 [size =\"28056576\"]\n  27 -> 46 [size =\"28056576\"]\n  27 -> 48 [size =\"28056576\"]\n  27 -> 49 [size =\"28056576\"]\n  28 [size=\"31975424\", alpha=\"0.02\", expect_size=\"15987712\"] \n  28 -> 34 [size =\"15987712\"]\n  28 -> 36 [size =\"15987712\"]\n  28 -> 41 [size =\"15987712\"]\n  28 -> 43 [size =\"15987712\"]\n  28 -> 45 [size =\"15987712\"]\n  28 -> 46 [size =\"15987712\"]\n  28 -> 47 [size =\"15987712\"]\n  28 -> 48 [size =\"15987712\"]\n  28 -> 50 [size =\"15987712\"]\n  29 [size=\"67901440\", alpha=\"0.07\", expect_size=\"33950720\"] \n  29 -> 35 [size =\"33950720\"]\n  29 -> 36 [size =\"33950720\"]\n  29 -> 39 [size =\"33950720\"]\n  29 -> 45 [size =\"33950720\"]\n  29 -> 47 [size =\"33950720\"]\n  29 -> 48 [size =\"33950720\"]\n  29 -> 50 [size =\"33950720\"]\n  30 [size=\"71313408\", alpha=\"0.20\", expect_size=\"35656704\"] \n  30 -> 34 [size =\"35656704\"]\n  30 -> 35 [size =\"35656704\"]\n  30 -> 36 [size =\"35656704\"]\n  30 -> 37 [size =\"35656704\"]\n  30 -> 39 [size =\"35656704\"]\n  30 -> 40 [size =\"35656704\"]\n  30 -> 41 [size =\"35656704\"]\n  30 -> 43 [size =\"35656704\"]\n  30 -> 45 [size =\"35656704\"]\n  30 -> 46 [size =\"35656704\"]\n  30 -> 47 [size =\"35656704\"]\n  30 -> 48 [size =\"35656704\"]\n  30 -> 49 [size =\"35656704\"]\n  30 -> 50 [size =\"35656704\"]\n  31 [size=\"29634560\", alpha=\"0.12\", expect_size=\"14817280\"] \n  31 -> 34 [size =\"14817280\"]\n  31 -> 35 [size =\"14817280\"]\n  31 -> 36 [size =\"14817280\"]\n  31 -> 40 [size =\"14817280\"]\n  31 -> 41 [size =\"14817280\"]\n  31 -> 42 [size =\"14817280\"]\n  31 -> 47 [size =\"14817280\"]\n  31 -> 48 [size =\"14817280\"]\n  31 -> 49 [size =\"14817280\"]\n  32 [size=\"101502976\", alpha=\"0.16\", expect_size=\"50751488\"] \n  32 -> 34 [size =\"50751488\"]\n  32 -> 36 [size =\"50751488\"]\n  32 -> 37 [size =\"50751488\"]\n  32 -> 38 [size =\"50751488\"]\n  32 -> 41 [size =\"50751488\"]\n  32 -> 42 [size =\"50751488\"]\n  32 -> 47 [size =\"50751488\"]\n  32 -> 48 [size =\"50751488\"]\n  33 [size=\"35342336\", alpha=\"0.06\", expect_size=\"17671168\"] \n  33 -> 34 [size =\"17671168\"]\n  33 -> 36 [size =\"17671168\"]\n  33 -> 38 [size =\"17671168\"]\n  33 -> 40 [size =\"17671168\"]\n  33 -> 41 [size =\"17671168\"]\n  33 -> 48 [size =\"17671168\"]\n  33 -> 50 [size =\"17671168\"]\n  34 [size=\"13625344\", alpha=\"0.18\", expect_size=\"6812672\"] \n  35 [size=\"35080192\", alpha=\"0.06\", expect_size=\"17540096\"] \n  36 [size=\"65738752\", alpha=\"0.17\", expect_size=\"32869376\"] \n  37 [size=\"73867264\", alpha=\"0.08\", expect_size=\"36933632\"] \n  38 [size=\"21086208\", alpha=\"0.20\", expect_size=\"10543104\"] \n  39 [size=\"30701568\", alpha=\"0.15\", expect_size=\"15350784\"] \n  40 [size=\"62941184\", alpha=\"0.05\", expect_size=\"31470592\"] \n  41 [size=\"62773248\", alpha=\"0.12\", expect_size=\"31386624\"] \n  42 [size=\"25937920\", alpha=\"0.11\", expect_size=\"12968960\"] \n  43 [size=\"99504128\", alpha=\"0.02\", expect_size=\"49752064\"] \n  44 [size=\"33001472\", alpha=\"0.00\", expect_size=\"16500736\"] \n  45 [size=\"24027136\", alpha=\"0.07\", expect_size=\"12013568\"] \n  46 [size=\"52469760\", alpha=\"0.14\", expect_size=\"26234880\"] \n  47 [size=\"37836800\", alpha=\"0.10\", expect_size=\"18918400\"] \n  48 [size=\"76072960\", alpha=\"0.11\", expect_size=\"38036480\"] \n  49 [size=\"75087872\", alpha=\"0.04\", expect_size=\"37543936\"] \n  50 [size=\"50272256\", alpha=\"0.10\", expect_size=\"25136128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.494.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92337493\", alpha=\"0.01\", expect_size=\"27701248\"] \n  1 -> 17 [size =\"27701248\"]\n  1 -> 18 [size =\"27701248\"]\n  1 -> 20 [size =\"27701248\"]\n  1 -> 21 [size =\"27701248\"]\n  1 -> 25 [size =\"27701248\"]\n  1 -> 26 [size =\"27701248\"]\n  2 [size=\"156310187\", alpha=\"0.07\", expect_size=\"46893056\"] \n  2 -> 18 [size =\"46893056\"]\n  2 -> 20 [size =\"46893056\"]\n  3 [size=\"139059200\", alpha=\"0.03\", expect_size=\"41717760\"] \n  4 [size=\"65266347\", alpha=\"0.19\", expect_size=\"19579904\"] \n  4 -> 16 [size =\"19579904\"]\n  4 -> 21 [size =\"19579904\"]\n  4 -> 25 [size =\"19579904\"]\n  5 [size=\"132645547\", alpha=\"0.06\", expect_size=\"39793664\"] \n  5 -> 16 [size =\"39793664\"]\n  5 -> 18 [size =\"39793664\"]\n  5 -> 20 [size =\"39793664\"]\n  5 -> 21 [size =\"39793664\"]\n  5 -> 25 [size =\"39793664\"]\n  6 [size=\"49500160\", alpha=\"0.08\", expect_size=\"14850048\"] \n  6 -> 17 [size =\"14850048\"]\n  6 -> 25 [size =\"14850048\"]\n  6 -> 28 [size =\"14850048\"]\n  7 [size=\"84408320\", alpha=\"0.02\", expect_size=\"25322496\"] \n  7 -> 16 [size =\"25322496\"]\n  7 -> 19 [size =\"25322496\"]\n  7 -> 25 [size =\"25322496\"]\n  8 [size=\"35150507\", alpha=\"0.01\", expect_size=\"10545152\"] \n  8 -> 16 [size =\"10545152\"]\n  8 -> 19 [size =\"10545152\"]\n  8 -> 23 [size =\"10545152\"]\n  8 -> 24 [size =\"10545152\"]\n  8 -> 25 [size =\"10545152\"]\n  8 -> 26 [size =\"10545152\"]\n  8 -> 27 [size =\"10545152\"]\n  8 -> 28 [size =\"10545152\"]\n  9 [size=\"142547627\", alpha=\"0.06\", expect_size=\"42764288\"] \n  9 -> 15 [size =\"42764288\"]\n  9 -> 19 [size =\"42764288\"]\n  9 -> 25 [size =\"42764288\"]\n  10 [size=\"20783787\", alpha=\"0.11\", expect_size=\"6235136\"] \n  10 -> 16 [size =\"6235136\"]\n  10 -> 19 [size =\"6235136\"]\n  11 [size=\"63310507\", alpha=\"0.17\", expect_size=\"18993152\"] \n  11 -> 15 [size =\"18993152\"]\n  11 -> 16 [size =\"18993152\"]\n  11 -> 17 [size =\"18993152\"]\n  11 -> 19 [size =\"18993152\"]\n  11 -> 21 [size =\"18993152\"]\n  12 [size=\"72519680\", alpha=\"0.08\", expect_size=\"21755904\"] \n  12 -> 15 [size =\"21755904\"]\n  12 -> 16 [size =\"21755904\"]\n  12 -> 28 [size =\"21755904\"]\n  13 [size=\"125003093\", alpha=\"0.04\", expect_size=\"37500928\"] \n  13 -> 15 [size =\"37500928\"]\n  13 -> 19 [size =\"37500928\"]\n  13 -> 22 [size =\"37500928\"]\n  13 -> 26 [size =\"37500928\"]\n  14 [size=\"150947840\", alpha=\"0.17\", expect_size=\"45284352\"] \n  14 -> 15 [size =\"45284352\"]\n  14 -> 17 [size =\"45284352\"]\n  14 -> 18 [size =\"45284352\"]\n  14 -> 19 [size =\"45284352\"]\n  14 -> 20 [size =\"45284352\"]\n  14 -> 25 [size =\"45284352\"]\n  14 -> 26 [size =\"45284352\"]\n  15 [size=\"140298240\", alpha=\"0.11\", expect_size=\"42089472\"] \n  15 -> 29 [size =\"42089472\"]\n  15 -> 30 [size =\"42089472\"]\n  15 -> 32 [size =\"42089472\"]\n  15 -> 40 [size =\"42089472\"]\n  16 [size=\"31993173\", alpha=\"0.16\", expect_size=\"9597952\"] \n  16 -> 35 [size =\"9597952\"]\n  16 -> 36 [size =\"9597952\"]\n  16 -> 40 [size =\"9597952\"]\n  17 [size=\"90975573\", alpha=\"0.17\", expect_size=\"27292672\"] \n  17 -> 29 [size =\"27292672\"]\n  17 -> 36 [size =\"27292672\"]\n  17 -> 38 [size =\"27292672\"]\n  17 -> 40 [size =\"27292672\"]\n  17 -> 41 [size =\"27292672\"]\n  18 [size=\"108305067\", alpha=\"0.07\", expect_size=\"32491520\"] \n  18 -> 30 [size =\"32491520\"]\n  18 -> 34 [size =\"32491520\"]\n  18 -> 35 [size =\"32491520\"]\n  18 -> 36 [size =\"32491520\"]\n  18 -> 39 [size =\"32491520\"]\n  18 -> 40 [size =\"32491520\"]\n  18 -> 41 [size =\"32491520\"]\n  18 -> 42 [size =\"32491520\"]\n  19 [size=\"118360747\", alpha=\"0.09\", expect_size=\"35508224\"] \n  19 -> 31 [size =\"35508224\"]\n  19 -> 32 [size =\"35508224\"]\n  19 -> 33 [size =\"35508224\"]\n  19 -> 35 [size =\"35508224\"]\n  19 -> 36 [size =\"35508224\"]\n  19 -> 37 [size =\"35508224\"]\n  19 -> 38 [size =\"35508224\"]\n  19 -> 40 [size =\"35508224\"]\n  19 -> 42 [size =\"35508224\"]\n  20 [size=\"161634987\", alpha=\"0.17\", expect_size=\"48490496\"] \n  20 -> 34 [size =\"48490496\"]\n  20 -> 35 [size =\"48490496\"]\n  20 -> 39 [size =\"48490496\"]\n  20 -> 40 [size =\"48490496\"]\n  20 -> 41 [size =\"48490496\"]\n  21 [size=\"93293227\", alpha=\"0.16\", expect_size=\"27987968\"] \n  21 -> 33 [size =\"27987968\"]\n  21 -> 34 [size =\"27987968\"]\n  21 -> 36 [size =\"27987968\"]\n  21 -> 37 [size =\"27987968\"]\n  21 -> 39 [size =\"27987968\"]\n  22 [size=\"69096107\", alpha=\"0.11\", expect_size=\"20728832\"] \n  22 -> 29 [size =\"20728832\"]\n  22 -> 30 [size =\"20728832\"]\n  22 -> 31 [size =\"20728832\"]\n  22 -> 35 [size =\"20728832\"]\n  22 -> 36 [size =\"20728832\"]\n  23 [size=\"131461120\", alpha=\"0.03\", expect_size=\"39438336\"] \n  23 -> 29 [size =\"39438336\"]\n  23 -> 30 [size =\"39438336\"]\n  23 -> 31 [size =\"39438336\"]\n  23 -> 36 [size =\"39438336\"]\n  23 -> 39 [size =\"39438336\"]\n  23 -> 42 [size =\"39438336\"]\n  24 [size=\"165072213\", alpha=\"0.20\", expect_size=\"49521664\"] \n  24 -> 29 [size =\"49521664\"]\n  24 -> 31 [size =\"49521664\"]\n  24 -> 33 [size =\"49521664\"]\n  24 -> 35 [size =\"49521664\"]\n  24 -> 39 [size =\"49521664\"]\n  24 -> 40 [size =\"49521664\"]\n  25 [size=\"140724907\", alpha=\"0.12\", expect_size=\"42217472\"] \n  25 -> 29 [size =\"42217472\"]\n  25 -> 31 [size =\"42217472\"]\n  25 -> 38 [size =\"42217472\"]\n  25 -> 39 [size =\"42217472\"]\n  25 -> 40 [size =\"42217472\"]\n  25 -> 41 [size =\"42217472\"]\n  25 -> 42 [size =\"42217472\"]\n  26 [size=\"69515947\", alpha=\"0.08\", expect_size=\"20854784\"] \n  26 -> 29 [size =\"20854784\"]\n  26 -> 32 [size =\"20854784\"]\n  26 -> 37 [size =\"20854784\"]\n  26 -> 38 [size =\"20854784\"]\n  26 -> 41 [size =\"20854784\"]\n  26 -> 42 [size =\"20854784\"]\n  27 [size=\"37587627\", alpha=\"0.13\", expect_size=\"11276288\"] \n  27 -> 29 [size =\"11276288\"]\n  27 -> 36 [size =\"11276288\"]\n  27 -> 38 [size =\"11276288\"]\n  27 -> 38 [size =\"11276288\"]\n  27 -> 39 [size =\"11276288\"]\n  27 -> 40 [size =\"11276288\"]\n  28 [size=\"172803413\", alpha=\"0.19\", expect_size=\"51841024\"] \n  28 -> 32 [size =\"51841024\"]\n  28 -> 35 [size =\"51841024\"]\n  28 -> 42 [size =\"51841024\"]\n  29 [size=\"74383360\", alpha=\"0.02\", expect_size=\"22315008\"] \n  29 -> 43 [size =\"22315008\"]\n  29 -> 44 [size =\"22315008\"]\n  29 -> 45 [size =\"22315008\"]\n  29 -> 46 [size =\"22315008\"]\n  29 -> 49 [size =\"22315008\"]\n  30 [size=\"143332693\", alpha=\"0.05\", expect_size=\"42999808\"] \n  30 -> 44 [size =\"42999808\"]\n  30 -> 50 [size =\"42999808\"]\n  31 [size=\"122931200\", alpha=\"0.14\", expect_size=\"36879360\"] \n  31 -> 43 [size =\"36879360\"]\n  31 -> 44 [size =\"36879360\"]\n  31 -> 48 [size =\"36879360\"]\n  32 [size=\"88043520\", alpha=\"0.10\", expect_size=\"26413056\"] \n  32 -> 43 [size =\"26413056\"]\n  32 -> 44 [size =\"26413056\"]\n  32 -> 45 [size =\"26413056\"]\n  32 -> 46 [size =\"26413056\"]\n  32 -> 48 [size =\"26413056\"]\n  32 -> 49 [size =\"26413056\"]\n  33 [size=\"20217173\", alpha=\"0.20\", expect_size=\"6065152\"] \n  33 -> 44 [size =\"6065152\"]\n  33 -> 50 [size =\"6065152\"]\n  34 [size=\"41038507\", alpha=\"0.07\", expect_size=\"12311552\"] \n  35 [size=\"41014613\", alpha=\"0.09\", expect_size=\"12304384\"] \n  35 -> 44 [size =\"12304384\"]\n  35 -> 50 [size =\"12304384\"]\n  36 [size=\"135311360\", alpha=\"0.13\", expect_size=\"40593408\"] \n  36 -> 43 [size =\"40593408\"]\n  36 -> 44 [size =\"40593408\"]\n  36 -> 45 [size =\"40593408\"]\n  36 -> 47 [size =\"40593408\"]\n  37 [size=\"41390080\", alpha=\"0.06\", expect_size=\"12417024\"] \n  37 -> 45 [size =\"12417024\"]\n  37 -> 49 [size =\"12417024\"]\n  38 [size=\"140752213\", alpha=\"0.11\", expect_size=\"42225664\"] \n  38 -> 45 [size =\"42225664\"]\n  38 -> 47 [size =\"42225664\"]\n  38 -> 48 [size =\"42225664\"]\n  39 [size=\"136502613\", alpha=\"0.09\", expect_size=\"40950784\"] \n  39 -> 43 [size =\"40950784\"]\n  39 -> 45 [size =\"40950784\"]\n  39 -> 50 [size =\"40950784\"]\n  40 [size=\"153716053\", alpha=\"0.05\", expect_size=\"46114816\"] \n  40 -> 43 [size =\"46114816\"]\n  40 -> 44 [size =\"46114816\"]\n  40 -> 46 [size =\"46114816\"]\n  41 [size=\"38413653\", alpha=\"0.11\", expect_size=\"11524096\"] \n  41 -> 46 [size =\"11524096\"]\n  41 -> 47 [size =\"11524096\"]\n  41 -> 49 [size =\"11524096\"]\n  41 -> 50 [size =\"11524096\"]\n  42 [size=\"151005867\", alpha=\"0.03\", expect_size=\"45301760\"] \n  42 -> 45 [size =\"45301760\"]\n  42 -> 46 [size =\"45301760\"]\n  42 -> 50 [size =\"45301760\"]\n  42 -> 50 [size =\"45301760\"]\n  43 [size=\"74676907\", alpha=\"0.10\", expect_size=\"22403072\"] \n  44 [size=\"74243413\", alpha=\"0.16\", expect_size=\"22273024\"] \n  45 [size=\"125890560\", alpha=\"0.17\", expect_size=\"37767168\"] \n  46 [size=\"37877760\", alpha=\"0.05\", expect_size=\"11363328\"] \n  47 [size=\"139291307\", alpha=\"0.15\", expect_size=\"41787392\"] \n  48 [size=\"31774720\", alpha=\"0.06\", expect_size=\"9532416\"] \n  49 [size=\"120733013\", alpha=\"0.03\", expect_size=\"36219904\"] \n  50 [size=\"35191467\", alpha=\"0.17\", expect_size=\"10557440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.495.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94726144\", alpha=\"0.17\", expect_size=\"47363072\"] \n  1 -> 37 [size =\"47363072\"]\n  1 -> 39 [size =\"47363072\"]\n  1 -> 42 [size =\"47363072\"]\n  2 [size=\"78305280\", alpha=\"0.09\", expect_size=\"39152640\"] \n  2 -> 37 [size =\"39152640\"]\n  2 -> 38 [size =\"39152640\"]\n  2 -> 39 [size =\"39152640\"]\n  2 -> 42 [size =\"39152640\"]\n  3 [size=\"25284608\", alpha=\"0.16\", expect_size=\"12642304\"] \n  3 -> 37 [size =\"12642304\"]\n  3 -> 39 [size =\"12642304\"]\n  3 -> 45 [size =\"12642304\"]\n  4 [size=\"23265280\", alpha=\"0.08\", expect_size=\"11632640\"] \n  4 -> 45 [size =\"11632640\"]\n  4 -> 49 [size =\"11632640\"]\n  5 [size=\"67850240\", alpha=\"0.02\", expect_size=\"33925120\"] \n  5 -> 38 [size =\"33925120\"]\n  5 -> 39 [size =\"33925120\"]\n  5 -> 41 [size =\"33925120\"]\n  5 -> 45 [size =\"33925120\"]\n  5 -> 46 [size =\"33925120\"]\n  6 [size=\"78626816\", alpha=\"0.10\", expect_size=\"39313408\"] \n  6 -> 38 [size =\"39313408\"]\n  6 -> 39 [size =\"39313408\"]\n  6 -> 41 [size =\"39313408\"]\n  6 -> 42 [size =\"39313408\"]\n  6 -> 46 [size =\"39313408\"]\n  6 -> 49 [size =\"39313408\"]\n  7 [size=\"46712832\", alpha=\"0.06\", expect_size=\"23356416\"] \n  7 -> 37 [size =\"23356416\"]\n  7 -> 39 [size =\"23356416\"]\n  7 -> 41 [size =\"23356416\"]\n  7 -> 46 [size =\"23356416\"]\n  7 -> 49 [size =\"23356416\"]\n  8 [size=\"85204992\", alpha=\"0.01\", expect_size=\"42602496\"] \n  8 -> 39 [size =\"42602496\"]\n  8 -> 41 [size =\"42602496\"]\n  8 -> 41 [size =\"42602496\"]\n  8 -> 43 [size =\"42602496\"]\n  8 -> 44 [size =\"42602496\"]\n  8 -> 45 [size =\"42602496\"]\n  8 -> 46 [size =\"42602496\"]\n  8 -> 49 [size =\"42602496\"]\n  9 [size=\"49913856\", alpha=\"0.19\", expect_size=\"24956928\"] \n  9 -> 38 [size =\"24956928\"]\n  9 -> 39 [size =\"24956928\"]\n  9 -> 41 [size =\"24956928\"]\n  9 -> 46 [size =\"24956928\"]\n  10 [size=\"73859072\", alpha=\"0.18\", expect_size=\"36929536\"] \n  10 -> 39 [size =\"36929536\"]\n  10 -> 39 [size =\"36929536\"]\n  10 -> 41 [size =\"36929536\"]\n  10 -> 47 [size =\"36929536\"]\n  11 [size=\"91711488\", alpha=\"0.16\", expect_size=\"45855744\"] \n  11 -> 37 [size =\"45855744\"]\n  11 -> 38 [size =\"45855744\"]\n  11 -> 39 [size =\"45855744\"]\n  11 -> 46 [size =\"45855744\"]\n  11 -> 47 [size =\"45855744\"]\n  12 [size=\"76441600\", alpha=\"0.12\", expect_size=\"38220800\"] \n  12 -> 37 [size =\"38220800\"]\n  12 -> 39 [size =\"38220800\"]\n  13 [size=\"26013696\", alpha=\"0.01\", expect_size=\"13006848\"] \n  13 -> 38 [size =\"13006848\"]\n  13 -> 41 [size =\"13006848\"]\n  13 -> 42 [size =\"13006848\"]\n  13 -> 45 [size =\"13006848\"]\n  13 -> 49 [size =\"13006848\"]\n  14 [size=\"99944448\", alpha=\"0.01\", expect_size=\"49972224\"] \n  14 -> 36 [size =\"49972224\"]\n  14 -> 39 [size =\"49972224\"]\n  14 -> 45 [size =\"49972224\"]\n  14 -> 46 [size =\"49972224\"]\n  14 -> 49 [size =\"49972224\"]\n  15 [size=\"43051008\", alpha=\"0.08\", expect_size=\"21525504\"] \n  15 -> 37 [size =\"21525504\"]\n  15 -> 39 [size =\"21525504\"]\n  15 -> 43 [size =\"21525504\"]\n  15 -> 45 [size =\"21525504\"]\n  16 [size=\"50900992\", alpha=\"0.01\", expect_size=\"25450496\"] \n  16 -> 42 [size =\"25450496\"]\n  16 -> 45 [size =\"25450496\"]\n  16 -> 49 [size =\"25450496\"]\n  17 [size=\"99289088\", alpha=\"0.11\", expect_size=\"49644544\"] \n  17 -> 37 [size =\"49644544\"]\n  17 -> 38 [size =\"49644544\"]\n  17 -> 39 [size =\"49644544\"]\n  17 -> 41 [size =\"49644544\"]\n  17 -> 46 [size =\"49644544\"]\n  18 [size=\"34545664\", alpha=\"0.12\", expect_size=\"17272832\"] \n  18 -> 38 [size =\"17272832\"]\n  18 -> 39 [size =\"17272832\"]\n  18 -> 41 [size =\"17272832\"]\n  18 -> 45 [size =\"17272832\"]\n  18 -> 46 [size =\"17272832\"]\n  18 -> 49 [size =\"17272832\"]\n  19 [size=\"39325696\", alpha=\"0.11\", expect_size=\"19662848\"] \n  19 -> 38 [size =\"19662848\"]\n  19 -> 39 [size =\"19662848\"]\n  19 -> 41 [size =\"19662848\"]\n  19 -> 46 [size =\"19662848\"]\n  20 [size=\"35207168\", alpha=\"0.01\", expect_size=\"17603584\"] \n  20 -> 38 [size =\"17603584\"]\n  20 -> 41 [size =\"17603584\"]\n  21 [size=\"25276416\", alpha=\"0.08\", expect_size=\"12638208\"] \n  21 -> 38 [size =\"12638208\"]\n  21 -> 41 [size =\"12638208\"]\n  21 -> 49 [size =\"12638208\"]\n  22 [size=\"100833280\", alpha=\"0.10\", expect_size=\"50416640\"] \n  22 -> 38 [size =\"50416640\"]\n  23 [size=\"60794880\", alpha=\"0.15\", expect_size=\"30397440\"] \n  23 -> 37 [size =\"30397440\"]\n  23 -> 38 [size =\"30397440\"]\n  23 -> 49 [size =\"30397440\"]\n  24 [size=\"67639296\", alpha=\"0.03\", expect_size=\"33819648\"] \n  24 -> 37 [size =\"33819648\"]\n  24 -> 49 [size =\"33819648\"]\n  25 [size=\"70748160\", alpha=\"0.03\", expect_size=\"35374080\"] \n  25 -> 37 [size =\"35374080\"]\n  25 -> 38 [size =\"35374080\"]\n  25 -> 41 [size =\"35374080\"]\n  26 [size=\"11890688\", alpha=\"0.18\", expect_size=\"5945344\"] \n  26 -> 37 [size =\"5945344\"]\n  26 -> 38 [size =\"5945344\"]\n  26 -> 46 [size =\"5945344\"]\n  26 -> 49 [size =\"5945344\"]\n  27 [size=\"18012160\", alpha=\"0.20\", expect_size=\"9006080\"] \n  27 -> 37 [size =\"9006080\"]\n  27 -> 38 [size =\"9006080\"]\n  27 -> 41 [size =\"9006080\"]\n  27 -> 43 [size =\"9006080\"]\n  27 -> 44 [size =\"9006080\"]\n  27 -> 46 [size =\"9006080\"]\n  28 [size=\"68755456\", alpha=\"0.18\", expect_size=\"34377728\"] \n  28 -> 38 [size =\"34377728\"]\n  28 -> 41 [size =\"34377728\"]\n  28 -> 42 [size =\"34377728\"]\n  28 -> 43 [size =\"34377728\"]\n  29 [size=\"30515200\", alpha=\"0.04\", expect_size=\"15257600\"] \n  29 -> 37 [size =\"15257600\"]\n  29 -> 38 [size =\"15257600\"]\n  29 -> 40 [size =\"15257600\"]\n  29 -> 41 [size =\"15257600\"]\n  29 -> 42 [size =\"15257600\"]\n  29 -> 43 [size =\"15257600\"]\n  30 [size=\"81051648\", alpha=\"0.04\", expect_size=\"40525824\"] \n  30 -> 37 [size =\"40525824\"]\n  30 -> 38 [size =\"40525824\"]\n  30 -> 39 [size =\"40525824\"]\n  30 -> 42 [size =\"40525824\"]\n  30 -> 42 [size =\"40525824\"]\n  30 -> 45 [size =\"40525824\"]\n  30 -> 46 [size =\"40525824\"]\n  30 -> 48 [size =\"40525824\"]\n  30 -> 50 [size =\"40525824\"]\n  31 [size=\"83509248\", alpha=\"0.01\", expect_size=\"41754624\"] \n  31 -> 37 [size =\"41754624\"]\n  31 -> 39 [size =\"41754624\"]\n  31 -> 49 [size =\"41754624\"]\n  32 [size=\"27758592\", alpha=\"0.12\", expect_size=\"13879296\"] \n  32 -> 37 [size =\"13879296\"]\n  32 -> 38 [size =\"13879296\"]\n  32 -> 39 [size =\"13879296\"]\n  32 -> 49 [size =\"13879296\"]\n  33 [size=\"75993088\", alpha=\"0.06\", expect_size=\"37996544\"] \n  33 -> 37 [size =\"37996544\"]\n  33 -> 38 [size =\"37996544\"]\n  33 -> 39 [size =\"37996544\"]\n  33 -> 42 [size =\"37996544\"]\n  33 -> 49 [size =\"37996544\"]\n  34 [size=\"54267904\", alpha=\"0.20\", expect_size=\"27133952\"] \n  34 -> 38 [size =\"27133952\"]\n  34 -> 38 [size =\"27133952\"]\n  34 -> 39 [size =\"27133952\"]\n  34 -> 44 [size =\"27133952\"]\n  34 -> 45 [size =\"27133952\"]\n  34 -> 49 [size =\"27133952\"]\n  35 [size=\"69736448\", alpha=\"0.20\", expect_size=\"34868224\"] \n  35 -> 39 [size =\"34868224\"]\n  35 -> 42 [size =\"34868224\"]\n  35 -> 43 [size =\"34868224\"]\n  35 -> 44 [size =\"34868224\"]\n  35 -> 49 [size =\"34868224\"]\n  36 [size=\"85391360\", alpha=\"0.08\", expect_size=\"42695680\"] \n  37 [size=\"75003904\", alpha=\"0.16\", expect_size=\"37501952\"] \n  38 [size=\"74799104\", alpha=\"0.08\", expect_size=\"37399552\"] \n  39 [size=\"65126400\", alpha=\"0.07\", expect_size=\"32563200\"] \n  40 [size=\"85411840\", alpha=\"0.11\", expect_size=\"42705920\"] \n  41 [size=\"104660992\", alpha=\"0.18\", expect_size=\"52330496\"] \n  42 [size=\"15355904\", alpha=\"0.04\", expect_size=\"7677952\"] \n  43 [size=\"72196096\", alpha=\"0.01\", expect_size=\"36098048\"] \n  44 [size=\"101965824\", alpha=\"0.10\", expect_size=\"50982912\"] \n  45 [size=\"99751936\", alpha=\"0.12\", expect_size=\"49875968\"] \n  46 [size=\"98123776\", alpha=\"0.14\", expect_size=\"49061888\"] \n  47 [size=\"43122688\", alpha=\"0.18\", expect_size=\"21561344\"] \n  48 [size=\"23552000\", alpha=\"0.14\", expect_size=\"11776000\"] \n  49 [size=\"63473664\", alpha=\"0.14\", expect_size=\"31736832\"] \n  50 [size=\"97355776\", alpha=\"0.09\", expect_size=\"48677888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.496.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56746667\", alpha=\"0.16\", expect_size=\"17024000\"] \n  1 -> 2 [size =\"17024000\"]\n  2 [size=\"94122667\", alpha=\"0.17\", expect_size=\"28236800\"] \n  2 -> 3 [size =\"28236800\"]\n  3 [size=\"99017387\", alpha=\"0.04\", expect_size=\"29705216\"] \n  3 -> 4 [size =\"29705216\"]\n  4 [size=\"125409280\", alpha=\"0.19\", expect_size=\"37622784\"] \n  4 -> 5 [size =\"37622784\"]\n  5 [size=\"19783680\", alpha=\"0.04\", expect_size=\"5935104\"] \n  5 -> 6 [size =\"5935104\"]\n  6 [size=\"79704747\", alpha=\"0.13\", expect_size=\"23911424\"] \n  6 -> 7 [size =\"23911424\"]\n  7 [size=\"61760853\", alpha=\"0.07\", expect_size=\"18528256\"] \n  7 -> 8 [size =\"18528256\"]\n  8 [size=\"150043307\", alpha=\"0.20\", expect_size=\"45012992\"] \n  8 -> 9 [size =\"45012992\"]\n  9 [size=\"45506560\", alpha=\"0.05\", expect_size=\"13651968\"] \n  9 -> 10 [size =\"13651968\"]\n  10 [size=\"62993067\", alpha=\"0.16\", expect_size=\"18897920\"] \n  10 -> 11 [size =\"18897920\"]\n  11 [size=\"94743893\", alpha=\"0.07\", expect_size=\"28423168\"] \n  11 -> 12 [size =\"28423168\"]\n  12 [size=\"63569920\", alpha=\"0.10\", expect_size=\"19070976\"] \n  12 -> 13 [size =\"19070976\"]\n  13 [size=\"38444373\", alpha=\"0.20\", expect_size=\"11533312\"] \n  13 -> 14 [size =\"11533312\"]\n  14 [size=\"69611520\", alpha=\"0.06\", expect_size=\"20883456\"] \n  14 -> 15 [size =\"20883456\"]\n  15 [size=\"62010027\", alpha=\"0.19\", expect_size=\"18603008\"] \n  15 -> 16 [size =\"18603008\"]\n  16 [size=\"94822400\", alpha=\"0.03\", expect_size=\"28446720\"] \n  16 -> 17 [size =\"28446720\"]\n  17 [size=\"36990293\", alpha=\"0.20\", expect_size=\"11097088\"] \n  17 -> 18 [size =\"11097088\"]\n  18 [size=\"89111893\", alpha=\"0.05\", expect_size=\"26733568\"] \n  18 -> 19 [size =\"26733568\"]\n  19 [size=\"88893440\", alpha=\"0.09\", expect_size=\"26668032\"] \n  19 -> 20 [size =\"26668032\"]\n  20 [size=\"130952533\", alpha=\"0.00\", expect_size=\"39285760\"] \n  20 -> 21 [size =\"39285760\"]\n  21 [size=\"99379200\", alpha=\"0.17\", expect_size=\"29813760\"] \n  21 -> 22 [size =\"29813760\"]\n  22 [size=\"158262613\", alpha=\"0.04\", expect_size=\"47478784\"] \n  22 -> 23 [size =\"47478784\"]\n  23 [size=\"79762773\", alpha=\"0.01\", expect_size=\"23928832\"] \n  23 -> 24 [size =\"23928832\"]\n  24 [size=\"77472427\", alpha=\"0.12\", expect_size=\"23241728\"] \n  24 -> 25 [size =\"23241728\"]\n  25 [size=\"123671893\", alpha=\"0.03\", expect_size=\"37101568\"] \n  25 -> 26 [size =\"37101568\"]\n  26 [size=\"115159040\", alpha=\"0.02\", expect_size=\"34547712\"] \n  26 -> 27 [size =\"34547712\"]\n  27 [size=\"139339093\", alpha=\"0.06\", expect_size=\"41801728\"] \n  27 -> 28 [size =\"41801728\"]\n  28 [size=\"136181760\", alpha=\"0.07\", expect_size=\"40854528\"] \n  28 -> 29 [size =\"40854528\"]\n  29 [size=\"173151573\", alpha=\"0.12\", expect_size=\"51945472\"] \n  29 -> 30 [size =\"51945472\"]\n  30 [size=\"83490133\", alpha=\"0.03\", expect_size=\"25047040\"] \n  30 -> 31 [size =\"25047040\"]\n  31 [size=\"87149227\", alpha=\"0.04\", expect_size=\"26144768\"] \n  31 -> 32 [size =\"26144768\"]\n  32 [size=\"66106027\", alpha=\"0.10\", expect_size=\"19831808\"] \n  32 -> 33 [size =\"19831808\"]\n  33 [size=\"97017173\", alpha=\"0.19\", expect_size=\"29105152\"] \n  33 -> 34 [size =\"29105152\"]\n  34 [size=\"104130560\", alpha=\"0.15\", expect_size=\"31239168\"] \n  34 -> 35 [size =\"31239168\"]\n  35 [size=\"38099627\", alpha=\"0.16\", expect_size=\"11429888\"] \n  35 -> 36 [size =\"11429888\"]\n  36 [size=\"58518187\", alpha=\"0.08\", expect_size=\"17555456\"] \n  36 -> 37 [size =\"17555456\"]\n  37 [size=\"70331733\", alpha=\"0.01\", expect_size=\"21099520\"] \n  37 -> 38 [size =\"21099520\"]\n  38 [size=\"117821440\", alpha=\"0.04\", expect_size=\"35346432\"] \n  38 -> 39 [size =\"35346432\"]\n  39 [size=\"18984960\", alpha=\"0.16\", expect_size=\"5695488\"] \n  39 -> 40 [size =\"5695488\"]\n  40 [size=\"116425387\", alpha=\"0.02\", expect_size=\"34927616\"] \n  40 -> 41 [size =\"34927616\"]\n  41 [size=\"141090133\", alpha=\"0.19\", expect_size=\"42327040\"] \n  41 -> 42 [size =\"42327040\"]\n  42 [size=\"170243413\", alpha=\"0.14\", expect_size=\"51073024\"] \n  42 -> 43 [size =\"51073024\"]\n  43 [size=\"92695893\", alpha=\"0.16\", expect_size=\"27808768\"] \n  43 -> 44 [size =\"27808768\"]\n  44 [size=\"86708907\", alpha=\"0.06\", expect_size=\"26012672\"] \n  44 -> 45 [size =\"26012672\"]\n  45 [size=\"47127893\", alpha=\"0.10\", expect_size=\"14138368\"] \n  45 -> 46 [size =\"14138368\"]\n  46 [size=\"18493440\", alpha=\"0.06\", expect_size=\"5548032\"] \n  46 -> 47 [size =\"5548032\"]\n  47 [size=\"78148267\", alpha=\"0.18\", expect_size=\"23444480\"] \n  47 -> 48 [size =\"23444480\"]\n  48 [size=\"88323413\", alpha=\"0.05\", expect_size=\"26497024\"] \n  48 -> 49 [size =\"26497024\"]\n  49 [size=\"120661333\", alpha=\"0.11\", expect_size=\"36198400\"] \n  49 -> 50 [size =\"36198400\"]\n  50 [size=\"89289387\", alpha=\"0.06\", expect_size=\"26786816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.497.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94533120\", alpha=\"0.06\", expect_size=\"37813248\"] \n  1 -> 3 [size =\"37813248\"]\n  1 -> 4 [size =\"37813248\"]\n  2 [size=\"69276160\", alpha=\"0.15\", expect_size=\"27710464\"] \n  2 -> 3 [size =\"27710464\"]\n  3 [size=\"39470080\", alpha=\"0.19\", expect_size=\"15788032\"] \n  3 -> 5 [size =\"15788032\"]\n  3 -> 7 [size =\"15788032\"]\n  4 [size=\"66844160\", alpha=\"0.05\", expect_size=\"26737664\"] \n  4 -> 6 [size =\"26737664\"]\n  4 -> 7 [size =\"26737664\"]\n  5 [size=\"20049920\", alpha=\"0.07\", expect_size=\"8019968\"] \n  5 -> 8 [size =\"8019968\"]\n  5 -> 9 [size =\"8019968\"]\n  5 -> 10 [size =\"8019968\"]\n  6 [size=\"32094720\", alpha=\"0.10\", expect_size=\"12837888\"] \n  6 -> 8 [size =\"12837888\"]\n  6 -> 9 [size =\"12837888\"]\n  6 -> 10 [size =\"12837888\"]\n  7 [size=\"76807680\", alpha=\"0.16\", expect_size=\"30723072\"] \n  7 -> 8 [size =\"30723072\"]\n  7 -> 9 [size =\"30723072\"]\n  8 [size=\"51264000\", alpha=\"0.08\", expect_size=\"20505600\"] \n  8 -> 11 [size =\"20505600\"]\n  8 -> 12 [size =\"20505600\"]\n  9 [size=\"60103680\", alpha=\"0.05\", expect_size=\"24041472\"] \n  9 -> 11 [size =\"24041472\"]\n  9 -> 12 [size =\"24041472\"]\n  10 [size=\"34160640\", alpha=\"0.08\", expect_size=\"13664256\"] \n  10 -> 11 [size =\"13664256\"]\n  10 -> 12 [size =\"13664256\"]\n  11 [size=\"54760960\", alpha=\"0.00\", expect_size=\"21904384\"] \n  11 -> 13 [size =\"21904384\"]\n  12 [size=\"87554560\", alpha=\"0.20\", expect_size=\"35021824\"] \n  12 -> 14 [size =\"35021824\"]\n  13 [size=\"59143680\", alpha=\"0.17\", expect_size=\"23657472\"] \n  13 -> 15 [size =\"23657472\"]\n  14 [size=\"50869760\", alpha=\"0.01\", expect_size=\"20347904\"] \n  14 -> 15 [size =\"20347904\"]\n  14 -> 16 [size =\"20347904\"]\n  14 -> 17 [size =\"20347904\"]\n  15 [size=\"82972160\", alpha=\"0.18\", expect_size=\"33188864\"] \n  15 -> 18 [size =\"33188864\"]\n  15 -> 19 [size =\"33188864\"]\n  16 [size=\"123952640\", alpha=\"0.10\", expect_size=\"49581056\"] \n  16 -> 19 [size =\"49581056\"]\n  17 [size=\"64294400\", alpha=\"0.09\", expect_size=\"25717760\"] \n  17 -> 19 [size =\"25717760\"]\n  18 [size=\"42698240\", alpha=\"0.10\", expect_size=\"17079296\"] \n  18 -> 20 [size =\"17079296\"]\n  18 -> 21 [size =\"17079296\"]\n  19 [size=\"92567040\", alpha=\"0.03\", expect_size=\"37026816\"] \n  19 -> 20 [size =\"37026816\"]\n  19 -> 21 [size =\"37026816\"]\n  20 [size=\"120204800\", alpha=\"0.16\", expect_size=\"48081920\"] \n  20 -> 22 [size =\"48081920\"]\n  21 [size=\"49031680\", alpha=\"0.03\", expect_size=\"19612672\"] \n  21 -> 22 [size =\"19612672\"]\n  21 -> 23 [size =\"19612672\"]\n  22 [size=\"51929600\", alpha=\"0.20\", expect_size=\"20771840\"] \n  22 -> 24 [size =\"20771840\"]\n  23 [size=\"51399680\", alpha=\"0.01\", expect_size=\"20559872\"] \n  23 -> 24 [size =\"20559872\"]\n  23 -> 25 [size =\"20559872\"]\n  24 [size=\"30809600\", alpha=\"0.11\", expect_size=\"12323840\"] \n  24 -> 27 [size =\"12323840\"]\n  24 -> 28 [size =\"12323840\"]\n  25 [size=\"34076160\", alpha=\"0.02\", expect_size=\"13630464\"] \n  25 -> 26 [size =\"13630464\"]\n  25 -> 27 [size =\"13630464\"]\n  25 -> 28 [size =\"13630464\"]\n  26 [size=\"24220160\", alpha=\"0.16\", expect_size=\"9688064\"] \n  26 -> 29 [size =\"9688064\"]\n  27 [size=\"86115840\", alpha=\"0.01\", expect_size=\"34446336\"] \n  27 -> 29 [size =\"34446336\"]\n  27 -> 30 [size =\"34446336\"]\n  28 [size=\"23441920\", alpha=\"0.13\", expect_size=\"9376768\"] \n  28 -> 30 [size =\"9376768\"]\n  28 -> 30 [size =\"9376768\"]\n  29 [size=\"79900160\", alpha=\"0.13\", expect_size=\"31960064\"] \n  29 -> 31 [size =\"31960064\"]\n  29 -> 33 [size =\"31960064\"]\n  30 [size=\"100034560\", alpha=\"0.16\", expect_size=\"40013824\"] \n  30 -> 31 [size =\"40013824\"]\n  30 -> 32 [size =\"40013824\"]\n  31 [size=\"79334400\", alpha=\"0.06\", expect_size=\"31733760\"] \n  31 -> 34 [size =\"31733760\"]\n  31 -> 35 [size =\"31733760\"]\n  32 [size=\"99233280\", alpha=\"0.09\", expect_size=\"39693312\"] \n  32 -> 34 [size =\"39693312\"]\n  32 -> 35 [size =\"39693312\"]\n  33 [size=\"97930240\", alpha=\"0.20\", expect_size=\"39172096\"] \n  33 -> 34 [size =\"39172096\"]\n  34 [size=\"101795840\", alpha=\"0.17\", expect_size=\"40718336\"] \n  34 -> 36 [size =\"40718336\"]\n  34 -> 37 [size =\"40718336\"]\n  34 -> 38 [size =\"40718336\"]\n  35 [size=\"46597120\", alpha=\"0.06\", expect_size=\"18638848\"] \n  35 -> 36 [size =\"18638848\"]\n  35 -> 37 [size =\"18638848\"]\n  35 -> 38 [size =\"18638848\"]\n  36 [size=\"57249280\", alpha=\"0.13\", expect_size=\"22899712\"] \n  36 -> 39 [size =\"22899712\"]\n  36 -> 40 [size =\"22899712\"]\n  36 -> 41 [size =\"22899712\"]\n  37 [size=\"34772480\", alpha=\"0.10\", expect_size=\"13908992\"] \n  37 -> 39 [size =\"13908992\"]\n  37 -> 40 [size =\"13908992\"]\n  38 [size=\"42869760\", alpha=\"0.11\", expect_size=\"17147904\"] \n  38 -> 39 [size =\"17147904\"]\n  38 -> 40 [size =\"17147904\"]\n  39 [size=\"119700480\", alpha=\"0.06\", expect_size=\"47880192\"] \n  39 -> 42 [size =\"47880192\"]\n  39 -> 43 [size =\"47880192\"]\n  39 -> 44 [size =\"47880192\"]\n  40 [size=\"76328960\", alpha=\"0.19\", expect_size=\"30531584\"] \n  40 -> 42 [size =\"30531584\"]\n  40 -> 44 [size =\"30531584\"]\n  41 [size=\"51776000\", alpha=\"0.18\", expect_size=\"20710400\"] \n  41 -> 43 [size =\"20710400\"]\n  42 [size=\"87697920\", alpha=\"0.04\", expect_size=\"35079168\"] \n  42 -> 46 [size =\"35079168\"]\n  42 -> 47 [size =\"35079168\"]\n  42 -> 47 [size =\"35079168\"]\n  43 [size=\"22609920\", alpha=\"0.16\", expect_size=\"9043968\"] \n  43 -> 45 [size =\"9043968\"]\n  43 -> 46 [size =\"9043968\"]\n  44 [size=\"20518400\", alpha=\"0.11\", expect_size=\"8207360\"] \n  44 -> 45 [size =\"8207360\"]\n  44 -> 46 [size =\"8207360\"]\n  44 -> 47 [size =\"8207360\"]\n  45 [size=\"119183360\", alpha=\"0.10\", expect_size=\"47673344\"] \n  45 -> 48 [size =\"47673344\"]\n  46 [size=\"34583040\", alpha=\"0.11\", expect_size=\"13833216\"] \n  46 -> 48 [size =\"13833216\"]\n  46 -> 49 [size =\"13833216\"]\n  47 [size=\"113489920\", alpha=\"0.04\", expect_size=\"45395968\"] \n  47 -> 48 [size =\"45395968\"]\n  48 [size=\"53201920\", alpha=\"0.19\", expect_size=\"21280768\"] \n  48 -> 50 [size =\"21280768\"]\n  49 [size=\"119234560\", alpha=\"0.05\", expect_size=\"47693824\"] \n  49 -> 50 [size =\"47693824\"]\n  50 [size=\"37158400\", alpha=\"0.06\", expect_size=\"14863360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.498.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117504000\", alpha=\"0.01\", expect_size=\"35251200\"] \n  1 -> 2 [size =\"35251200\"]\n  2 [size=\"44602027\", alpha=\"0.19\", expect_size=\"13380608\"] \n  2 -> 3 [size =\"13380608\"]\n  3 [size=\"112773120\", alpha=\"0.12\", expect_size=\"33831936\"] \n  3 -> 4 [size =\"33831936\"]\n  4 [size=\"115909973\", alpha=\"0.16\", expect_size=\"34772992\"] \n  4 -> 5 [size =\"34772992\"]\n  5 [size=\"133266773\", alpha=\"0.14\", expect_size=\"39980032\"] \n  5 -> 6 [size =\"39980032\"]\n  6 [size=\"123668480\", alpha=\"0.03\", expect_size=\"37100544\"] \n  6 -> 7 [size =\"37100544\"]\n  7 [size=\"26593280\", alpha=\"0.03\", expect_size=\"7977984\"] \n  7 -> 8 [size =\"7977984\"]\n  8 [size=\"166717440\", alpha=\"0.04\", expect_size=\"50015232\"] \n  8 -> 9 [size =\"50015232\"]\n  9 [size=\"50834773\", alpha=\"0.06\", expect_size=\"15250432\"] \n  9 -> 10 [size =\"15250432\"]\n  10 [size=\"108946773\", alpha=\"0.15\", expect_size=\"32684032\"] \n  10 -> 11 [size =\"32684032\"]\n  11 [size=\"65498453\", alpha=\"0.11\", expect_size=\"19649536\"] \n  11 -> 12 [size =\"19649536\"]\n  12 [size=\"70229333\", alpha=\"0.16\", expect_size=\"21068800\"] \n  12 -> 13 [size =\"21068800\"]\n  13 [size=\"66256213\", alpha=\"0.16\", expect_size=\"19876864\"] \n  13 -> 14 [size =\"19876864\"]\n  14 [size=\"160720213\", alpha=\"0.07\", expect_size=\"48216064\"] \n  14 -> 15 [size =\"48216064\"]\n  15 [size=\"129563307\", alpha=\"0.12\", expect_size=\"38868992\"] \n  15 -> 16 [size =\"38868992\"]\n  16 [size=\"84660907\", alpha=\"0.12\", expect_size=\"25398272\"] \n  16 -> 17 [size =\"25398272\"]\n  17 [size=\"112022187\", alpha=\"0.09\", expect_size=\"33606656\"] \n  17 -> 18 [size =\"33606656\"]\n  18 [size=\"131993600\", alpha=\"0.02\", expect_size=\"39598080\"] \n  18 -> 19 [size =\"39598080\"]\n  19 [size=\"162085547\", alpha=\"0.04\", expect_size=\"48625664\"] \n  19 -> 20 [size =\"48625664\"]\n  20 [size=\"54882987\", alpha=\"0.19\", expect_size=\"16464896\"] \n  20 -> 21 [size =\"16464896\"]\n  21 [size=\"174312107\", alpha=\"0.07\", expect_size=\"52293632\"] \n  21 -> 22 [size =\"52293632\"]\n  22 [size=\"99672747\", alpha=\"0.18\", expect_size=\"29901824\"] \n  22 -> 23 [size =\"29901824\"]\n  23 [size=\"71096320\", alpha=\"0.01\", expect_size=\"21328896\"] \n  23 -> 24 [size =\"21328896\"]\n  24 [size=\"39202133\", alpha=\"0.17\", expect_size=\"11760640\"] \n  24 -> 25 [size =\"11760640\"]\n  25 [size=\"92951893\", alpha=\"0.08\", expect_size=\"27885568\"] \n  25 -> 26 [size =\"27885568\"]\n  26 [size=\"33361920\", alpha=\"0.12\", expect_size=\"10008576\"] \n  26 -> 27 [size =\"10008576\"]\n  27 [size=\"124545707\", alpha=\"0.17\", expect_size=\"37363712\"] \n  27 -> 28 [size =\"37363712\"]\n  28 [size=\"38912000\", alpha=\"0.02\", expect_size=\"11673600\"] \n  28 -> 29 [size =\"11673600\"]\n  29 [size=\"53292373\", alpha=\"0.10\", expect_size=\"15987712\"] \n  29 -> 30 [size =\"15987712\"]\n  30 [size=\"84476587\", alpha=\"0.10\", expect_size=\"25342976\"] \n  30 -> 31 [size =\"25342976\"]\n  31 [size=\"77032107\", alpha=\"0.17\", expect_size=\"23109632\"] \n  31 -> 32 [size =\"23109632\"]\n  32 [size=\"130990080\", alpha=\"0.09\", expect_size=\"39297024\"] \n  32 -> 33 [size =\"39297024\"]\n  33 [size=\"116186453\", alpha=\"0.09\", expect_size=\"34855936\"] \n  33 -> 34 [size =\"34855936\"]\n  34 [size=\"127928320\", alpha=\"0.06\", expect_size=\"38378496\"] \n  34 -> 35 [size =\"38378496\"]\n  35 [size=\"107356160\", alpha=\"0.18\", expect_size=\"32206848\"] \n  35 -> 36 [size =\"32206848\"]\n  36 [size=\"170270720\", alpha=\"0.18\", expect_size=\"51081216\"] \n  36 -> 37 [size =\"51081216\"]\n  37 [size=\"108284587\", alpha=\"0.10\", expect_size=\"32485376\"] \n  37 -> 38 [size =\"32485376\"]\n  38 [size=\"87811413\", alpha=\"0.17\", expect_size=\"26343424\"] \n  38 -> 39 [size =\"26343424\"]\n  39 [size=\"100805973\", alpha=\"0.02\", expect_size=\"30241792\"] \n  39 -> 40 [size =\"30241792\"]\n  40 [size=\"23340373\", alpha=\"0.12\", expect_size=\"7002112\"] \n  40 -> 41 [size =\"7002112\"]\n  41 [size=\"104174933\", alpha=\"0.01\", expect_size=\"31252480\"] \n  41 -> 42 [size =\"31252480\"]\n  42 [size=\"76759040\", alpha=\"0.02\", expect_size=\"23027712\"] \n  42 -> 43 [size =\"23027712\"]\n  43 [size=\"151135573\", alpha=\"0.09\", expect_size=\"45340672\"] \n  43 -> 44 [size =\"45340672\"]\n  44 [size=\"61511680\", alpha=\"0.19\", expect_size=\"18453504\"] \n  44 -> 45 [size =\"18453504\"]\n  45 [size=\"108417707\", alpha=\"0.18\", expect_size=\"32525312\"] \n  45 -> 46 [size =\"32525312\"]\n  46 [size=\"89371307\", alpha=\"0.20\", expect_size=\"26811392\"] \n  46 -> 47 [size =\"26811392\"]\n  47 [size=\"71553707\", alpha=\"0.15\", expect_size=\"21466112\"] \n  47 -> 48 [size =\"21466112\"]\n  48 [size=\"149517653\", alpha=\"0.13\", expect_size=\"44855296\"] \n  48 -> 49 [size =\"44855296\"]\n  49 [size=\"123211093\", alpha=\"0.15\", expect_size=\"36963328\"] \n  49 -> 50 [size =\"36963328\"]\n  50 [size=\"137239893\", alpha=\"0.06\", expect_size=\"41171968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.499.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"145435307\", alpha=\"0.06\", expect_size=\"43630592\"] \n  1 -> 36 [size =\"43630592\"]\n  1 -> 39 [size =\"43630592\"]\n  1 -> 44 [size =\"43630592\"]\n  1 -> 45 [size =\"43630592\"]\n  1 -> 46 [size =\"43630592\"]\n  1 -> 49 [size =\"43630592\"]\n  2 [size=\"93750613\", alpha=\"0.17\", expect_size=\"28125184\"] \n  2 -> 44 [size =\"28125184\"]\n  2 -> 45 [size =\"28125184\"]\n  2 -> 47 [size =\"28125184\"]\n  2 -> 48 [size =\"28125184\"]\n  2 -> 49 [size =\"28125184\"]\n  3 [size=\"33283413\", alpha=\"0.17\", expect_size=\"9985024\"] \n  3 -> 38 [size =\"9985024\"]\n  3 -> 39 [size =\"9985024\"]\n  3 -> 42 [size =\"9985024\"]\n  3 -> 43 [size =\"9985024\"]\n  3 -> 44 [size =\"9985024\"]\n  3 -> 45 [size =\"9985024\"]\n  3 -> 48 [size =\"9985024\"]\n  3 -> 49 [size =\"9985024\"]\n  4 [size=\"163826347\", alpha=\"0.06\", expect_size=\"49147904\"] \n  4 -> 38 [size =\"49147904\"]\n  4 -> 39 [size =\"49147904\"]\n  4 -> 42 [size =\"49147904\"]\n  4 -> 44 [size =\"49147904\"]\n  4 -> 44 [size =\"49147904\"]\n  4 -> 45 [size =\"49147904\"]\n  4 -> 49 [size =\"49147904\"]\n  4 -> 49 [size =\"49147904\"]\n  4 -> 50 [size =\"49147904\"]\n  5 [size=\"23879680\", alpha=\"0.11\", expect_size=\"7163904\"] \n  5 -> 36 [size =\"7163904\"]\n  5 -> 38 [size =\"7163904\"]\n  5 -> 39 [size =\"7163904\"]\n  5 -> 41 [size =\"7163904\"]\n  5 -> 44 [size =\"7163904\"]\n  5 -> 45 [size =\"7163904\"]\n  5 -> 49 [size =\"7163904\"]\n  6 [size=\"70396587\", alpha=\"0.16\", expect_size=\"21118976\"] \n  6 -> 39 [size =\"21118976\"]\n  6 -> 41 [size =\"21118976\"]\n  6 -> 45 [size =\"21118976\"]\n  6 -> 49 [size =\"21118976\"]\n  7 [size=\"169004373\", alpha=\"0.19\", expect_size=\"50701312\"] \n  7 -> 39 [size =\"50701312\"]\n  7 -> 42 [size =\"50701312\"]\n  7 -> 43 [size =\"50701312\"]\n  7 -> 45 [size =\"50701312\"]\n  8 [size=\"137301333\", alpha=\"0.08\", expect_size=\"41190400\"] \n  8 -> 37 [size =\"41190400\"]\n  8 -> 38 [size =\"41190400\"]\n  8 -> 39 [size =\"41190400\"]\n  8 -> 43 [size =\"41190400\"]\n  8 -> 45 [size =\"41190400\"]\n  8 -> 46 [size =\"41190400\"]\n  8 -> 48 [size =\"41190400\"]\n  8 -> 49 [size =\"41190400\"]\n  9 [size=\"32839680\", alpha=\"0.14\", expect_size=\"9851904\"] \n  9 -> 39 [size =\"9851904\"]\n  9 -> 40 [size =\"9851904\"]\n  9 -> 41 [size =\"9851904\"]\n  9 -> 43 [size =\"9851904\"]\n  9 -> 45 [size =\"9851904\"]\n  9 -> 47 [size =\"9851904\"]\n  9 -> 49 [size =\"9851904\"]\n  10 [size=\"125190827\", alpha=\"0.10\", expect_size=\"37557248\"] \n  10 -> 36 [size =\"37557248\"]\n  10 -> 39 [size =\"37557248\"]\n  10 -> 40 [size =\"37557248\"]\n  10 -> 43 [size =\"37557248\"]\n  10 -> 44 [size =\"37557248\"]\n  10 -> 48 [size =\"37557248\"]\n  10 -> 49 [size =\"37557248\"]\n  11 [size=\"45731840\", alpha=\"0.10\", expect_size=\"13719552\"] \n  11 -> 36 [size =\"13719552\"]\n  11 -> 37 [size =\"13719552\"]\n  11 -> 39 [size =\"13719552\"]\n  11 -> 40 [size =\"13719552\"]\n  11 -> 43 [size =\"13719552\"]\n  11 -> 44 [size =\"13719552\"]\n  11 -> 45 [size =\"13719552\"]\n  12 [size=\"94767787\", alpha=\"0.03\", expect_size=\"28430336\"] \n  12 -> 38 [size =\"28430336\"]\n  12 -> 39 [size =\"28430336\"]\n  12 -> 40 [size =\"28430336\"]\n  12 -> 42 [size =\"28430336\"]\n  12 -> 44 [size =\"28430336\"]\n  12 -> 49 [size =\"28430336\"]\n  12 -> 50 [size =\"28430336\"]\n  13 [size=\"67642027\", alpha=\"0.16\", expect_size=\"20292608\"] \n  13 -> 36 [size =\"20292608\"]\n  13 -> 39 [size =\"20292608\"]\n  13 -> 42 [size =\"20292608\"]\n  13 -> 43 [size =\"20292608\"]\n  13 -> 45 [size =\"20292608\"]\n  13 -> 46 [size =\"20292608\"]\n  14 [size=\"45820587\", alpha=\"0.10\", expect_size=\"13746176\"] \n  14 -> 39 [size =\"13746176\"]\n  14 -> 40 [size =\"13746176\"]\n  14 -> 42 [size =\"13746176\"]\n  14 -> 43 [size =\"13746176\"]\n  14 -> 45 [size =\"13746176\"]\n  15 [size=\"95208107\", alpha=\"0.10\", expect_size=\"28562432\"] \n  15 -> 38 [size =\"28562432\"]\n  15 -> 43 [size =\"28562432\"]\n  15 -> 45 [size =\"28562432\"]\n  15 -> 49 [size =\"28562432\"]\n  15 -> 50 [size =\"28562432\"]\n  16 [size=\"22756693\", alpha=\"0.05\", expect_size=\"6827008\"] \n  16 -> 43 [size =\"6827008\"]\n  16 -> 44 [size =\"6827008\"]\n  16 -> 45 [size =\"6827008\"]\n  16 -> 49 [size =\"6827008\"]\n  16 -> 50 [size =\"6827008\"]\n  17 [size=\"150405120\", alpha=\"0.13\", expect_size=\"45121536\"] \n  17 -> 44 [size =\"45121536\"]\n  17 -> 45 [size =\"45121536\"]\n  17 -> 45 [size =\"45121536\"]\n  17 -> 49 [size =\"45121536\"]\n  18 [size=\"141202773\", alpha=\"0.11\", expect_size=\"42360832\"] \n  18 -> 39 [size =\"42360832\"]\n  18 -> 40 [size =\"42360832\"]\n  18 -> 43 [size =\"42360832\"]\n  18 -> 45 [size =\"42360832\"]\n  18 -> 48 [size =\"42360832\"]\n  18 -> 49 [size =\"42360832\"]\n  19 [size=\"45431467\", alpha=\"0.01\", expect_size=\"13629440\"] \n  19 -> 38 [size =\"13629440\"]\n  19 -> 45 [size =\"13629440\"]\n  19 -> 48 [size =\"13629440\"]\n  19 -> 49 [size =\"13629440\"]\n  19 -> 50 [size =\"13629440\"]\n  20 [size=\"156095147\", alpha=\"0.10\", expect_size=\"46828544\"] \n  20 -> 40 [size =\"46828544\"]\n  20 -> 45 [size =\"46828544\"]\n  20 -> 49 [size =\"46828544\"]\n  21 [size=\"79018667\", alpha=\"0.14\", expect_size=\"23705600\"] \n  21 -> 36 [size =\"23705600\"]\n  21 -> 38 [size =\"23705600\"]\n  21 -> 42 [size =\"23705600\"]\n  21 -> 44 [size =\"23705600\"]\n  21 -> 45 [size =\"23705600\"]\n  21 -> 47 [size =\"23705600\"]\n  21 -> 48 [size =\"23705600\"]\n  21 -> 49 [size =\"23705600\"]\n  22 [size=\"154132480\", alpha=\"0.09\", expect_size=\"46239744\"] \n  22 -> 36 [size =\"46239744\"]\n  22 -> 39 [size =\"46239744\"]\n  22 -> 40 [size =\"46239744\"]\n  22 -> 42 [size =\"46239744\"]\n  22 -> 44 [size =\"46239744\"]\n  22 -> 45 [size =\"46239744\"]\n  22 -> 49 [size =\"46239744\"]\n  23 [size=\"19148800\", alpha=\"0.05\", expect_size=\"5744640\"] \n  23 -> 36 [size =\"5744640\"]\n  23 -> 42 [size =\"5744640\"]\n  23 -> 43 [size =\"5744640\"]\n  23 -> 44 [size =\"5744640\"]\n  23 -> 45 [size =\"5744640\"]\n  23 -> 45 [size =\"5744640\"]\n  23 -> 50 [size =\"5744640\"]\n  24 [size=\"147633493\", alpha=\"0.20\", expect_size=\"44290048\"] \n  24 -> 36 [size =\"44290048\"]\n  24 -> 39 [size =\"44290048\"]\n  24 -> 41 [size =\"44290048\"]\n  24 -> 44 [size =\"44290048\"]\n  24 -> 45 [size =\"44290048\"]\n  24 -> 48 [size =\"44290048\"]\n  25 [size=\"67225600\", alpha=\"0.16\", expect_size=\"20167680\"] \n  25 -> 36 [size =\"20167680\"]\n  25 -> 38 [size =\"20167680\"]\n  25 -> 40 [size =\"20167680\"]\n  25 -> 44 [size =\"20167680\"]\n  26 [size=\"147469653\", alpha=\"0.18\", expect_size=\"44240896\"] \n  26 -> 36 [size =\"44240896\"]\n  26 -> 40 [size =\"44240896\"]\n  26 -> 40 [size =\"44240896\"]\n  26 -> 42 [size =\"44240896\"]\n  26 -> 43 [size =\"44240896\"]\n  26 -> 45 [size =\"44240896\"]\n  26 -> 47 [size =\"44240896\"]\n  26 -> 48 [size =\"44240896\"]\n  26 -> 50 [size =\"44240896\"]\n  27 [size=\"28835840\", alpha=\"0.00\", expect_size=\"8650752\"] \n  27 -> 36 [size =\"8650752\"]\n  27 -> 39 [size =\"8650752\"]\n  27 -> 40 [size =\"8650752\"]\n  27 -> 43 [size =\"8650752\"]\n  27 -> 44 [size =\"8650752\"]\n  27 -> 45 [size =\"8650752\"]\n  27 -> 48 [size =\"8650752\"]\n  27 -> 49 [size =\"8650752\"]\n  28 [size=\"131682987\", alpha=\"0.17\", expect_size=\"39504896\"] \n  28 -> 39 [size =\"39504896\"]\n  28 -> 40 [size =\"39504896\"]\n  28 -> 43 [size =\"39504896\"]\n  28 -> 44 [size =\"39504896\"]\n  28 -> 45 [size =\"39504896\"]\n  28 -> 48 [size =\"39504896\"]\n  28 -> 49 [size =\"39504896\"]\n  28 -> 49 [size =\"39504896\"]\n  29 [size=\"60808533\", alpha=\"0.16\", expect_size=\"18242560\"] \n  29 -> 36 [size =\"18242560\"]\n  29 -> 39 [size =\"18242560\"]\n  29 -> 40 [size =\"18242560\"]\n  29 -> 45 [size =\"18242560\"]\n  30 [size=\"69587627\", alpha=\"0.09\", expect_size=\"20876288\"] \n  30 -> 39 [size =\"20876288\"]\n  30 -> 40 [size =\"20876288\"]\n  30 -> 41 [size =\"20876288\"]\n  31 [size=\"144486400\", alpha=\"0.05\", expect_size=\"43345920\"] \n  31 -> 36 [size =\"43345920\"]\n  31 -> 38 [size =\"43345920\"]\n  31 -> 39 [size =\"43345920\"]\n  31 -> 40 [size =\"43345920\"]\n  31 -> 45 [size =\"43345920\"]\n  32 [size=\"98894507\", alpha=\"0.11\", expect_size=\"29668352\"] \n  32 -> 36 [size =\"29668352\"]\n  32 -> 38 [size =\"29668352\"]\n  32 -> 42 [size =\"29668352\"]\n  32 -> 43 [size =\"29668352\"]\n  32 -> 45 [size =\"29668352\"]\n  32 -> 47 [size =\"29668352\"]\n  32 -> 49 [size =\"29668352\"]\n  33 [size=\"166372693\", alpha=\"0.04\", expect_size=\"49911808\"] \n  33 -> 38 [size =\"49911808\"]\n  33 -> 39 [size =\"49911808\"]\n  33 -> 40 [size =\"49911808\"]\n  33 -> 42 [size =\"49911808\"]\n  33 -> 43 [size =\"49911808\"]\n  33 -> 50 [size =\"49911808\"]\n  34 [size=\"48158720\", alpha=\"0.20\", expect_size=\"14447616\"] \n  34 -> 37 [size =\"14447616\"]\n  34 -> 42 [size =\"14447616\"]\n  34 -> 45 [size =\"14447616\"]\n  34 -> 47 [size =\"14447616\"]\n  34 -> 49 [size =\"14447616\"]\n  35 [size=\"47885653\", alpha=\"0.06\", expect_size=\"14365696\"] \n  35 -> 38 [size =\"14365696\"]\n  35 -> 39 [size =\"14365696\"]\n  35 -> 40 [size =\"14365696\"]\n  35 -> 41 [size =\"14365696\"]\n  35 -> 44 [size =\"14365696\"]\n  35 -> 45 [size =\"14365696\"]\n  35 -> 46 [size =\"14365696\"]\n  35 -> 47 [size =\"14365696\"]\n  35 -> 48 [size =\"14365696\"]\n  35 -> 49 [size =\"14365696\"]\n  36 [size=\"171960320\", alpha=\"0.13\", expect_size=\"51588096\"] \n  37 [size=\"158733653\", alpha=\"0.16\", expect_size=\"47620096\"] \n  38 [size=\"159733760\", alpha=\"0.15\", expect_size=\"47920128\"] \n  39 [size=\"137506133\", alpha=\"0.18\", expect_size=\"41251840\"] \n  40 [size=\"107407360\", alpha=\"0.19\", expect_size=\"32222208\"] \n  41 [size=\"19875840\", alpha=\"0.07\", expect_size=\"5962752\"] \n  42 [size=\"60443307\", alpha=\"0.13\", expect_size=\"18132992\"] \n  43 [size=\"149125120\", alpha=\"0.19\", expect_size=\"44737536\"] \n  44 [size=\"21510827\", alpha=\"0.01\", expect_size=\"6453248\"] \n  45 [size=\"20517547\", alpha=\"0.10\", expect_size=\"6155264\"] \n  46 [size=\"66597547\", alpha=\"0.15\", expect_size=\"19979264\"] \n  47 [size=\"165027840\", alpha=\"0.02\", expect_size=\"49508352\"] \n  48 [size=\"134164480\", alpha=\"0.03\", expect_size=\"40249344\"] \n  49 [size=\"97740800\", alpha=\"0.10\", expect_size=\"29322240\"] \n  50 [size=\"83705173\", alpha=\"0.03\", expect_size=\"25111552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82001920\", alpha=\"0.10\", expect_size=\"32800768\"] \n  1 -> 11 [size =\"32800768\"]\n  1 -> 14 [size =\"32800768\"]\n  2 [size=\"97528320\", alpha=\"0.16\", expect_size=\"39011328\"] \n  2 -> 12 [size =\"39011328\"]\n  2 -> 14 [size =\"39011328\"]\n  3 [size=\"56401920\", alpha=\"0.10\", expect_size=\"22560768\"] \n  4 [size=\"103104000\", alpha=\"0.05\", expect_size=\"41241600\"] \n  4 -> 13 [size =\"41241600\"]\n  4 -> 15 [size =\"41241600\"]\n  5 [size=\"104578560\", alpha=\"0.14\", expect_size=\"41831424\"] \n  5 -> 12 [size =\"41831424\"]\n  5 -> 13 [size =\"41831424\"]\n  6 [size=\"30632960\", alpha=\"0.10\", expect_size=\"12253184\"] \n  6 -> 11 [size =\"12253184\"]\n  7 [size=\"88005120\", alpha=\"0.14\", expect_size=\"35202048\"] \n  7 -> 15 [size =\"35202048\"]\n  8 [size=\"90396160\", alpha=\"0.02\", expect_size=\"36158464\"] \n  8 -> 12 [size =\"36158464\"]\n  9 [size=\"89564160\", alpha=\"0.14\", expect_size=\"35825664\"] \n  9 -> 11 [size =\"35825664\"]\n  9 -> 14 [size =\"35825664\"]\n  10 [size=\"54154240\", alpha=\"0.06\", expect_size=\"21661696\"] \n  10 -> 12 [size =\"21661696\"]\n  10 -> 13 [size =\"21661696\"]\n  11 [size=\"82718720\", alpha=\"0.06\", expect_size=\"33087488\"] \n  11 -> 16 [size =\"33087488\"]\n  11 -> 20 [size =\"33087488\"]\n  11 -> 21 [size =\"33087488\"]\n  11 -> 22 [size =\"33087488\"]\n  12 [size=\"25262080\", alpha=\"0.14\", expect_size=\"10104832\"] \n  12 -> 16 [size =\"10104832\"]\n  13 [size=\"122168320\", alpha=\"0.12\", expect_size=\"48867328\"] \n  13 -> 16 [size =\"48867328\"]\n  13 -> 18 [size =\"48867328\"]\n  13 -> 21 [size =\"48867328\"]\n  13 -> 22 [size =\"48867328\"]\n  14 [size=\"64632320\", alpha=\"0.07\", expect_size=\"25852928\"] \n  14 -> 17 [size =\"25852928\"]\n  14 -> 19 [size =\"25852928\"]\n  14 -> 20 [size =\"25852928\"]\n  15 [size=\"93076480\", alpha=\"0.02\", expect_size=\"37230592\"] \n  15 -> 17 [size =\"37230592\"]\n  15 -> 19 [size =\"37230592\"]\n  15 -> 20 [size =\"37230592\"]\n  15 -> 21 [size =\"37230592\"]\n  15 -> 22 [size =\"37230592\"]\n  16 [size=\"57584640\", alpha=\"0.00\", expect_size=\"23033856\"] \n  16 -> 24 [size =\"23033856\"]\n  16 -> 25 [size =\"23033856\"]\n  16 -> 26 [size =\"23033856\"]\n  16 -> 27 [size =\"23033856\"]\n  17 [size=\"114304000\", alpha=\"0.03\", expect_size=\"45721600\"] \n  17 -> 24 [size =\"45721600\"]\n  17 -> 26 [size =\"45721600\"]\n  17 -> 27 [size =\"45721600\"]\n  18 [size=\"76490240\", alpha=\"0.08\", expect_size=\"30596096\"] \n  18 -> 23 [size =\"30596096\"]\n  18 -> 25 [size =\"30596096\"]\n  18 -> 26 [size =\"30596096\"]\n  19 [size=\"88896000\", alpha=\"0.19\", expect_size=\"35558400\"] \n  19 -> 23 [size =\"35558400\"]\n  19 -> 29 [size =\"35558400\"]\n  20 [size=\"53916160\", alpha=\"0.09\", expect_size=\"21566464\"] \n  20 -> 25 [size =\"21566464\"]\n  20 -> 27 [size =\"21566464\"]\n  20 -> 28 [size =\"21566464\"]\n  20 -> 30 [size =\"21566464\"]\n  21 [size=\"86881280\", alpha=\"0.11\", expect_size=\"34752512\"] \n  21 -> 24 [size =\"34752512\"]\n  21 -> 30 [size =\"34752512\"]\n  22 [size=\"123781120\", alpha=\"0.07\", expect_size=\"49512448\"] \n  22 -> 23 [size =\"49512448\"]\n  22 -> 24 [size =\"49512448\"]\n  22 -> 26 [size =\"49512448\"]\n  23 [size=\"85972480\", alpha=\"0.11\", expect_size=\"34388992\"] \n  23 -> 32 [size =\"34388992\"]\n  23 -> 37 [size =\"34388992\"]\n  23 -> 39 [size =\"34388992\"]\n  23 -> 40 [size =\"34388992\"]\n  24 [size=\"36730880\", alpha=\"0.09\", expect_size=\"14692352\"] \n  24 -> 31 [size =\"14692352\"]\n  24 -> 32 [size =\"14692352\"]\n  24 -> 33 [size =\"14692352\"]\n  24 -> 35 [size =\"14692352\"]\n  24 -> 37 [size =\"14692352\"]\n  25 [size=\"77908480\", alpha=\"0.03\", expect_size=\"31163392\"] \n  25 -> 31 [size =\"31163392\"]\n  25 -> 32 [size =\"31163392\"]\n  25 -> 37 [size =\"31163392\"]\n  25 -> 39 [size =\"31163392\"]\n  26 [size=\"90557440\", alpha=\"0.01\", expect_size=\"36222976\"] \n  26 -> 38 [size =\"36222976\"]\n  27 [size=\"92469760\", alpha=\"0.11\", expect_size=\"36987904\"] \n  28 [size=\"112325120\", alpha=\"0.14\", expect_size=\"44930048\"] \n  28 -> 33 [size =\"44930048\"]\n  28 -> 36 [size =\"44930048\"]\n  28 -> 37 [size =\"44930048\"]\n  28 -> 38 [size =\"44930048\"]\n  28 -> 39 [size =\"44930048\"]\n  29 [size=\"42562560\", alpha=\"0.09\", expect_size=\"17025024\"] \n  29 -> 32 [size =\"17025024\"]\n  29 -> 34 [size =\"17025024\"]\n  29 -> 39 [size =\"17025024\"]\n  30 [size=\"37135360\", alpha=\"0.12\", expect_size=\"14854144\"] \n  30 -> 34 [size =\"14854144\"]\n  31 [size=\"91348480\", alpha=\"0.07\", expect_size=\"36539392\"] \n  31 -> 41 [size =\"36539392\"]\n  31 -> 43 [size =\"36539392\"]\n  31 -> 44 [size =\"36539392\"]\n  32 [size=\"38169600\", alpha=\"0.04\", expect_size=\"15267840\"] \n  32 -> 42 [size =\"15267840\"]\n  32 -> 43 [size =\"15267840\"]\n  32 -> 44 [size =\"15267840\"]\n  33 [size=\"79984640\", alpha=\"0.19\", expect_size=\"31993856\"] \n  33 -> 47 [size =\"31993856\"]\n  34 [size=\"24161280\", alpha=\"0.03\", expect_size=\"9664512\"] \n  35 [size=\"78661120\", alpha=\"0.01\", expect_size=\"31464448\"] \n  35 -> 41 [size =\"31464448\"]\n  35 -> 42 [size =\"31464448\"]\n  35 -> 43 [size =\"31464448\"]\n  36 [size=\"99031040\", alpha=\"0.06\", expect_size=\"39612416\"] \n  36 -> 46 [size =\"39612416\"]\n  37 [size=\"102794240\", alpha=\"0.08\", expect_size=\"41117696\"] \n  38 [size=\"46888960\", alpha=\"0.01\", expect_size=\"18755584\"] \n  38 -> 42 [size =\"18755584\"]\n  39 [size=\"126566400\", alpha=\"0.07\", expect_size=\"50626560\"] \n  39 -> 42 [size =\"50626560\"]\n  39 -> 44 [size =\"50626560\"]\n  39 -> 45 [size =\"50626560\"]\n  40 [size=\"64394240\", alpha=\"0.20\", expect_size=\"25757696\"] \n  40 -> 42 [size =\"25757696\"]\n  40 -> 43 [size =\"25757696\"]\n  40 -> 44 [size =\"25757696\"]\n  41 [size=\"19379200\", alpha=\"0.05\", expect_size=\"7751680\"] \n  41 -> 48 [size =\"7751680\"]\n  41 -> 49 [size =\"7751680\"]\n  42 [size=\"61135360\", alpha=\"0.09\", expect_size=\"24454144\"] \n  42 -> 50 [size =\"24454144\"]\n  43 [size=\"83857920\", alpha=\"0.05\", expect_size=\"33543168\"] \n  44 [size=\"78640640\", alpha=\"0.06\", expect_size=\"31456256\"] \n  45 [size=\"97013760\", alpha=\"0.17\", expect_size=\"38805504\"] \n  46 [size=\"100979200\", alpha=\"0.02\", expect_size=\"40391680\"] \n  47 [size=\"17052160\", alpha=\"0.20\", expect_size=\"6820864\"] \n  47 -> 48 [size =\"6820864\"]\n  47 -> 49 [size =\"6820864\"]\n  48 [size=\"64394240\", alpha=\"0.14\", expect_size=\"25757696\"] \n  49 [size=\"70458880\", alpha=\"0.14\", expect_size=\"28183552\"] \n  50 [size=\"111040000\", alpha=\"0.18\", expect_size=\"44416000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13672448\", alpha=\"0.11\", expect_size=\"6836224\"] \n  1 -> 9 [size =\"6836224\"]\n  1 -> 10 [size =\"6836224\"]\n  1 -> 12 [size =\"6836224\"]\n  1 -> 14 [size =\"6836224\"]\n  2 [size=\"52500480\", alpha=\"0.01\", expect_size=\"26250240\"] \n  2 -> 12 [size =\"26250240\"]\n  2 -> 14 [size =\"26250240\"]\n  3 [size=\"72501248\", alpha=\"0.12\", expect_size=\"36250624\"] \n  3 -> 9 [size =\"36250624\"]\n  3 -> 11 [size =\"36250624\"]\n  3 -> 12 [size =\"36250624\"]\n  3 -> 13 [size =\"36250624\"]\n  3 -> 14 [size =\"36250624\"]\n  4 [size=\"63545344\", alpha=\"0.17\", expect_size=\"31772672\"] \n  4 -> 8 [size =\"31772672\"]\n  4 -> 9 [size =\"31772672\"]\n  4 -> 10 [size =\"31772672\"]\n  4 -> 13 [size =\"31772672\"]\n  4 -> 14 [size =\"31772672\"]\n  5 [size=\"37359616\", alpha=\"0.18\", expect_size=\"18679808\"] \n  5 -> 8 [size =\"18679808\"]\n  5 -> 9 [size =\"18679808\"]\n  5 -> 13 [size =\"18679808\"]\n  6 [size=\"88485888\", alpha=\"0.16\", expect_size=\"44242944\"] \n  6 -> 8 [size =\"44242944\"]\n  6 -> 9 [size =\"44242944\"]\n  6 -> 12 [size =\"44242944\"]\n  6 -> 13 [size =\"44242944\"]\n  7 [size=\"62455808\", alpha=\"0.00\", expect_size=\"31227904\"] \n  7 -> 9 [size =\"31227904\"]\n  7 -> 10 [size =\"31227904\"]\n  7 -> 12 [size =\"31227904\"]\n  7 -> 14 [size =\"31227904\"]\n  8 [size=\"11300864\", alpha=\"0.15\", expect_size=\"5650432\"] \n  8 -> 17 [size =\"5650432\"]\n  8 -> 19 [size =\"5650432\"]\n  9 [size=\"104284160\", alpha=\"0.06\", expect_size=\"52142080\"] \n  9 -> 17 [size =\"52142080\"]\n  9 -> 18 [size =\"52142080\"]\n  9 -> 19 [size =\"52142080\"]\n  10 [size=\"59623424\", alpha=\"0.00\", expect_size=\"29811712\"] \n  10 -> 15 [size =\"29811712\"]\n  10 -> 16 [size =\"29811712\"]\n  10 -> 17 [size =\"29811712\"]\n  10 -> 20 [size =\"29811712\"]\n  11 [size=\"72935424\", alpha=\"0.13\", expect_size=\"36467712\"] \n  11 -> 16 [size =\"36467712\"]\n  11 -> 18 [size =\"36467712\"]\n  11 -> 20 [size =\"36467712\"]\n  12 [size=\"32702464\", alpha=\"0.02\", expect_size=\"16351232\"] \n  12 -> 15 [size =\"16351232\"]\n  12 -> 16 [size =\"16351232\"]\n  12 -> 17 [size =\"16351232\"]\n  12 -> 18 [size =\"16351232\"]\n  12 -> 20 [size =\"16351232\"]\n  13 [size=\"35940352\", alpha=\"0.20\", expect_size=\"17970176\"] \n  13 -> 16 [size =\"17970176\"]\n  13 -> 17 [size =\"17970176\"]\n  13 -> 18 [size =\"17970176\"]\n  13 -> 20 [size =\"17970176\"]\n  14 [size=\"94246912\", alpha=\"0.13\", expect_size=\"47123456\"] \n  15 [size=\"80558080\", alpha=\"0.15\", expect_size=\"40279040\"] \n  15 -> 21 [size =\"40279040\"]\n  15 -> 26 [size =\"40279040\"]\n  15 -> 27 [size =\"40279040\"]\n  16 [size=\"73023488\", alpha=\"0.18\", expect_size=\"36511744\"] \n  16 -> 21 [size =\"36511744\"]\n  16 -> 25 [size =\"36511744\"]\n  16 -> 26 [size =\"36511744\"]\n  16 -> 27 [size =\"36511744\"]\n  17 [size=\"53749760\", alpha=\"0.15\", expect_size=\"26874880\"] \n  17 -> 26 [size =\"26874880\"]\n  18 [size=\"54822912\", alpha=\"0.06\", expect_size=\"27411456\"] \n  18 -> 22 [size =\"27411456\"]\n  18 -> 25 [size =\"27411456\"]\n  18 -> 26 [size =\"27411456\"]\n  18 -> 27 [size =\"27411456\"]\n  19 [size=\"32380928\", alpha=\"0.05\", expect_size=\"16190464\"] \n  19 -> 24 [size =\"16190464\"]\n  19 -> 25 [size =\"16190464\"]\n  19 -> 26 [size =\"16190464\"]\n  19 -> 27 [size =\"16190464\"]\n  20 [size=\"58449920\", alpha=\"0.13\", expect_size=\"29224960\"] \n  20 -> 23 [size =\"29224960\"]\n  20 -> 24 [size =\"29224960\"]\n  20 -> 25 [size =\"29224960\"]\n  20 -> 26 [size =\"29224960\"]\n  20 -> 27 [size =\"29224960\"]\n  21 [size=\"59930624\", alpha=\"0.01\", expect_size=\"29965312\"] \n  21 -> 31 [size =\"29965312\"]\n  21 -> 33 [size =\"29965312\"]\n  21 -> 33 [size =\"29965312\"]\n  21 -> 34 [size =\"29965312\"]\n  22 [size=\"27449344\", alpha=\"0.18\", expect_size=\"13724672\"] \n  22 -> 28 [size =\"13724672\"]\n  22 -> 29 [size =\"13724672\"]\n  22 -> 30 [size =\"13724672\"]\n  22 -> 31 [size =\"13724672\"]\n  22 -> 33 [size =\"13724672\"]\n  22 -> 34 [size =\"13724672\"]\n  23 [size=\"37228544\", alpha=\"0.09\", expect_size=\"18614272\"] \n  23 -> 28 [size =\"18614272\"]\n  23 -> 30 [size =\"18614272\"]\n  23 -> 31 [size =\"18614272\"]\n  23 -> 32 [size =\"18614272\"]\n  23 -> 33 [size =\"18614272\"]\n  24 [size=\"36644864\", alpha=\"0.10\", expect_size=\"18322432\"] \n  24 -> 28 [size =\"18322432\"]\n  24 -> 29 [size =\"18322432\"]\n  24 -> 30 [size =\"18322432\"]\n  24 -> 33 [size =\"18322432\"]\n  24 -> 34 [size =\"18322432\"]\n  25 [size=\"97191936\", alpha=\"0.18\", expect_size=\"48595968\"] \n  25 -> 28 [size =\"48595968\"]\n  25 -> 31 [size =\"48595968\"]\n  25 -> 33 [size =\"48595968\"]\n  25 -> 34 [size =\"48595968\"]\n  25 -> 34 [size =\"48595968\"]\n  26 [size=\"73101312\", alpha=\"0.02\", expect_size=\"36550656\"] \n  26 -> 28 [size =\"36550656\"]\n  26 -> 34 [size =\"36550656\"]\n  27 [size=\"65452032\", alpha=\"0.17\", expect_size=\"32726016\"] \n  27 -> 28 [size =\"32726016\"]\n  27 -> 29 [size =\"32726016\"]\n  27 -> 33 [size =\"32726016\"]\n  27 -> 34 [size =\"32726016\"]\n  28 [size=\"39921664\", alpha=\"0.12\", expect_size=\"19960832\"] \n  28 -> 36 [size =\"19960832\"]\n  28 -> 38 [size =\"19960832\"]\n  28 -> 39 [size =\"19960832\"]\n  29 [size=\"70019072\", alpha=\"0.07\", expect_size=\"35009536\"] \n  29 -> 38 [size =\"35009536\"]\n  29 -> 39 [size =\"35009536\"]\n  29 -> 39 [size =\"35009536\"]\n  30 [size=\"93530112\", alpha=\"0.12\", expect_size=\"46765056\"] \n  30 -> 38 [size =\"46765056\"]\n  30 -> 39 [size =\"46765056\"]\n  30 -> 40 [size =\"46765056\"]\n  31 [size=\"59035648\", alpha=\"0.11\", expect_size=\"29517824\"] \n  31 -> 35 [size =\"29517824\"]\n  31 -> 36 [size =\"29517824\"]\n  31 -> 37 [size =\"29517824\"]\n  31 -> 39 [size =\"29517824\"]\n  32 [size=\"64092160\", alpha=\"0.14\", expect_size=\"32046080\"] \n  32 -> 36 [size =\"32046080\"]\n  32 -> 37 [size =\"32046080\"]\n  32 -> 39 [size =\"32046080\"]\n  33 [size=\"56342528\", alpha=\"0.03\", expect_size=\"28171264\"] \n  33 -> 37 [size =\"28171264\"]\n  33 -> 37 [size =\"28171264\"]\n  33 -> 38 [size =\"28171264\"]\n  33 -> 39 [size =\"28171264\"]\n  34 [size=\"97802240\", alpha=\"0.09\", expect_size=\"48901120\"] \n  34 -> 38 [size =\"48901120\"]\n  34 -> 40 [size =\"48901120\"]\n  35 [size=\"52793344\", alpha=\"0.11\", expect_size=\"26396672\"] \n  35 -> 44 [size =\"26396672\"]\n  36 [size=\"42559488\", alpha=\"0.05\", expect_size=\"21279744\"] \n  36 -> 41 [size =\"21279744\"]\n  36 -> 44 [size =\"21279744\"]\n  36 -> 45 [size =\"21279744\"]\n  36 -> 46 [size =\"21279744\"]\n  37 [size=\"50728960\", alpha=\"0.09\", expect_size=\"25364480\"] \n  37 -> 42 [size =\"25364480\"]\n  37 -> 43 [size =\"25364480\"]\n  37 -> 46 [size =\"25364480\"]\n  38 [size=\"34899968\", alpha=\"0.02\", expect_size=\"17449984\"] \n  38 -> 43 [size =\"17449984\"]\n  38 -> 46 [size =\"17449984\"]\n  39 [size=\"90263552\", alpha=\"0.20\", expect_size=\"45131776\"] \n  39 -> 43 [size =\"45131776\"]\n  39 -> 46 [size =\"45131776\"]\n  39 -> 47 [size =\"45131776\"]\n  40 [size=\"27502592\", alpha=\"0.08\", expect_size=\"13751296\"] \n  40 -> 41 [size =\"13751296\"]\n  40 -> 43 [size =\"13751296\"]\n  40 -> 46 [size =\"13751296\"]\n  40 -> 47 [size =\"13751296\"]\n  41 [size=\"84496384\", alpha=\"0.06\", expect_size=\"42248192\"] \n  41 -> 48 [size =\"42248192\"]\n  42 [size=\"40581120\", alpha=\"0.08\", expect_size=\"20290560\"] \n  42 -> 48 [size =\"20290560\"]\n  42 -> 49 [size =\"20290560\"]\n  43 [size=\"12347392\", alpha=\"0.16\", expect_size=\"6173696\"] \n  43 -> 48 [size =\"6173696\"]\n  43 -> 49 [size =\"6173696\"]\n  43 -> 50 [size =\"6173696\"]\n  44 [size=\"25251840\", alpha=\"0.09\", expect_size=\"12625920\"] \n  44 -> 48 [size =\"12625920\"]\n  44 -> 49 [size =\"12625920\"]\n  45 [size=\"68681728\", alpha=\"0.01\", expect_size=\"34340864\"] \n  45 -> 48 [size =\"34340864\"]\n  45 -> 49 [size =\"34340864\"]\n  46 [size=\"23971840\", alpha=\"0.06\", expect_size=\"11985920\"] \n  46 -> 49 [size =\"11985920\"]\n  46 -> 49 [size =\"11985920\"]\n  46 -> 50 [size =\"11985920\"]\n  47 [size=\"48029696\", alpha=\"0.02\", expect_size=\"24014848\"] \n  47 -> 48 [size =\"24014848\"]\n  48 [size=\"89747456\", alpha=\"0.05\", expect_size=\"44873728\"] \n  49 [size=\"99096576\", alpha=\"0.00\", expect_size=\"49548288\"] \n  50 [size=\"97968128\", alpha=\"0.13\", expect_size=\"48984064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.500.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82855253\", alpha=\"0.14\", expect_size=\"24856576\"] \n  1 -> 34 [size =\"24856576\"]\n  1 -> 43 [size =\"24856576\"]\n  1 -> 44 [size =\"24856576\"]\n  1 -> 46 [size =\"24856576\"]\n  1 -> 47 [size =\"24856576\"]\n  1 -> 48 [size =\"24856576\"]\n  2 [size=\"162624853\", alpha=\"0.18\", expect_size=\"48787456\"] \n  2 -> 35 [size =\"48787456\"]\n  2 -> 37 [size =\"48787456\"]\n  2 -> 38 [size =\"48787456\"]\n  2 -> 41 [size =\"48787456\"]\n  2 -> 43 [size =\"48787456\"]\n  2 -> 44 [size =\"48787456\"]\n  2 -> 46 [size =\"48787456\"]\n  2 -> 47 [size =\"48787456\"]\n  2 -> 49 [size =\"48787456\"]\n  3 [size=\"128682667\", alpha=\"0.17\", expect_size=\"38604800\"] \n  3 -> 37 [size =\"38604800\"]\n  3 -> 38 [size =\"38604800\"]\n  3 -> 41 [size =\"38604800\"]\n  3 -> 43 [size =\"38604800\"]\n  3 -> 43 [size =\"38604800\"]\n  3 -> 45 [size =\"38604800\"]\n  3 -> 46 [size =\"38604800\"]\n  4 [size=\"135280640\", alpha=\"0.18\", expect_size=\"40584192\"] \n  4 -> 36 [size =\"40584192\"]\n  4 -> 38 [size =\"40584192\"]\n  4 -> 43 [size =\"40584192\"]\n  4 -> 45 [size =\"40584192\"]\n  4 -> 46 [size =\"40584192\"]\n  4 -> 49 [size =\"40584192\"]\n  5 [size=\"98891093\", alpha=\"0.08\", expect_size=\"29667328\"] \n  5 -> 34 [size =\"29667328\"]\n  5 -> 45 [size =\"29667328\"]\n  5 -> 48 [size =\"29667328\"]\n  5 -> 50 [size =\"29667328\"]\n  6 [size=\"73693867\", alpha=\"0.02\", expect_size=\"22108160\"] \n  6 -> 34 [size =\"22108160\"]\n  6 -> 40 [size =\"22108160\"]\n  6 -> 41 [size =\"22108160\"]\n  6 -> 44 [size =\"22108160\"]\n  6 -> 45 [size =\"22108160\"]\n  7 [size=\"33047893\", alpha=\"0.17\", expect_size=\"9914368\"] \n  7 -> 34 [size =\"9914368\"]\n  7 -> 38 [size =\"9914368\"]\n  7 -> 40 [size =\"9914368\"]\n  7 -> 41 [size =\"9914368\"]\n  7 -> 45 [size =\"9914368\"]\n  7 -> 46 [size =\"9914368\"]\n  7 -> 50 [size =\"9914368\"]\n  8 [size=\"95027200\", alpha=\"0.07\", expect_size=\"28508160\"] \n  8 -> 38 [size =\"28508160\"]\n  8 -> 43 [size =\"28508160\"]\n  8 -> 44 [size =\"28508160\"]\n  8 -> 45 [size =\"28508160\"]\n  8 -> 45 [size =\"28508160\"]\n  8 -> 50 [size =\"28508160\"]\n  9 [size=\"96723627\", alpha=\"0.07\", expect_size=\"29017088\"] \n  9 -> 37 [size =\"29017088\"]\n  9 -> 38 [size =\"29017088\"]\n  9 -> 43 [size =\"29017088\"]\n  9 -> 46 [size =\"29017088\"]\n  10 [size=\"142718293\", alpha=\"0.18\", expect_size=\"42815488\"] \n  10 -> 34 [size =\"42815488\"]\n  10 -> 43 [size =\"42815488\"]\n  10 -> 50 [size =\"42815488\"]\n  11 [size=\"35362133\", alpha=\"0.20\", expect_size=\"10608640\"] \n  11 -> 37 [size =\"10608640\"]\n  11 -> 38 [size =\"10608640\"]\n  11 -> 43 [size =\"10608640\"]\n  12 [size=\"141612373\", alpha=\"0.07\", expect_size=\"42483712\"] \n  12 -> 34 [size =\"42483712\"]\n  12 -> 37 [size =\"42483712\"]\n  12 -> 38 [size =\"42483712\"]\n  12 -> 43 [size =\"42483712\"]\n  12 -> 44 [size =\"42483712\"]\n  12 -> 46 [size =\"42483712\"]\n  13 [size=\"127825920\", alpha=\"0.04\", expect_size=\"38347776\"] \n  13 -> 37 [size =\"38347776\"]\n  13 -> 41 [size =\"38347776\"]\n  13 -> 43 [size =\"38347776\"]\n  13 -> 46 [size =\"38347776\"]\n  14 [size=\"107980800\", alpha=\"0.14\", expect_size=\"32394240\"] \n  14 -> 37 [size =\"32394240\"]\n  14 -> 38 [size =\"32394240\"]\n  14 -> 44 [size =\"32394240\"]\n  14 -> 45 [size =\"32394240\"]\n  14 -> 46 [size =\"32394240\"]\n  15 [size=\"93794987\", alpha=\"0.02\", expect_size=\"28138496\"] \n  15 -> 35 [size =\"28138496\"]\n  15 -> 37 [size =\"28138496\"]\n  15 -> 40 [size =\"28138496\"]\n  15 -> 41 [size =\"28138496\"]\n  15 -> 44 [size =\"28138496\"]\n  15 -> 46 [size =\"28138496\"]\n  15 -> 47 [size =\"28138496\"]\n  16 [size=\"155644587\", alpha=\"0.14\", expect_size=\"46693376\"] \n  16 -> 34 [size =\"46693376\"]\n  16 -> 37 [size =\"46693376\"]\n  16 -> 41 [size =\"46693376\"]\n  16 -> 46 [size =\"46693376\"]\n  16 -> 47 [size =\"46693376\"]\n  16 -> 49 [size =\"46693376\"]\n  16 -> 50 [size =\"46693376\"]\n  17 [size=\"17865387\", alpha=\"0.15\", expect_size=\"5359616\"] \n  17 -> 34 [size =\"5359616\"]\n  17 -> 37 [size =\"5359616\"]\n  17 -> 38 [size =\"5359616\"]\n  17 -> 39 [size =\"5359616\"]\n  17 -> 41 [size =\"5359616\"]\n  17 -> 45 [size =\"5359616\"]\n  17 -> 47 [size =\"5359616\"]\n  17 -> 49 [size =\"5359616\"]\n  18 [size=\"148981760\", alpha=\"0.11\", expect_size=\"44694528\"] \n  18 -> 34 [size =\"44694528\"]\n  18 -> 37 [size =\"44694528\"]\n  18 -> 39 [size =\"44694528\"]\n  18 -> 45 [size =\"44694528\"]\n  18 -> 48 [size =\"44694528\"]\n  18 -> 49 [size =\"44694528\"]\n  19 [size=\"44151467\", alpha=\"0.19\", expect_size=\"13245440\"] \n  19 -> 50 [size =\"13245440\"]\n  20 [size=\"102225920\", alpha=\"0.12\", expect_size=\"30667776\"] \n  20 -> 36 [size =\"30667776\"]\n  20 -> 39 [size =\"30667776\"]\n  20 -> 50 [size =\"30667776\"]\n  21 [size=\"84691627\", alpha=\"0.13\", expect_size=\"25407488\"] \n  21 -> 34 [size =\"25407488\"]\n  21 -> 36 [size =\"25407488\"]\n  21 -> 37 [size =\"25407488\"]\n  21 -> 38 [size =\"25407488\"]\n  21 -> 39 [size =\"25407488\"]\n  21 -> 42 [size =\"25407488\"]\n  21 -> 47 [size =\"25407488\"]\n  21 -> 50 [size =\"25407488\"]\n  22 [size=\"83401387\", alpha=\"0.12\", expect_size=\"25020416\"] \n  22 -> 35 [size =\"25020416\"]\n  22 -> 48 [size =\"25020416\"]\n  23 [size=\"142032213\", alpha=\"0.06\", expect_size=\"42609664\"] \n  23 -> 35 [size =\"42609664\"]\n  23 -> 39 [size =\"42609664\"]\n  23 -> 41 [size =\"42609664\"]\n  23 -> 50 [size =\"42609664\"]\n  24 [size=\"17923413\", alpha=\"0.14\", expect_size=\"5377024\"] \n  24 -> 34 [size =\"5377024\"]\n  24 -> 35 [size =\"5377024\"]\n  24 -> 37 [size =\"5377024\"]\n  24 -> 39 [size =\"5377024\"]\n  24 -> 41 [size =\"5377024\"]\n  24 -> 44 [size =\"5377024\"]\n  24 -> 50 [size =\"5377024\"]\n  25 [size=\"124586667\", alpha=\"0.13\", expect_size=\"37376000\"] \n  25 -> 38 [size =\"37376000\"]\n  25 -> 42 [size =\"37376000\"]\n  25 -> 45 [size =\"37376000\"]\n  25 -> 47 [size =\"37376000\"]\n  25 -> 48 [size =\"37376000\"]\n  25 -> 50 [size =\"37376000\"]\n  26 [size=\"141933227\", alpha=\"0.19\", expect_size=\"42579968\"] \n  26 -> 35 [size =\"42579968\"]\n  26 -> 37 [size =\"42579968\"]\n  26 -> 38 [size =\"42579968\"]\n  26 -> 39 [size =\"42579968\"]\n  26 -> 41 [size =\"42579968\"]\n  26 -> 45 [size =\"42579968\"]\n  27 [size=\"98266453\", alpha=\"0.07\", expect_size=\"29479936\"] \n  27 -> 37 [size =\"29479936\"]\n  27 -> 45 [size =\"29479936\"]\n  27 -> 49 [size =\"29479936\"]\n  27 -> 50 [size =\"29479936\"]\n  28 [size=\"55405227\", alpha=\"0.05\", expect_size=\"16621568\"] \n  28 -> 34 [size =\"16621568\"]\n  28 -> 37 [size =\"16621568\"]\n  28 -> 45 [size =\"16621568\"]\n  28 -> 46 [size =\"16621568\"]\n  28 -> 49 [size =\"16621568\"]\n  28 -> 50 [size =\"16621568\"]\n  29 [size=\"144875520\", alpha=\"0.13\", expect_size=\"43462656\"] \n  29 -> 34 [size =\"43462656\"]\n  29 -> 36 [size =\"43462656\"]\n  29 -> 39 [size =\"43462656\"]\n  29 -> 40 [size =\"43462656\"]\n  29 -> 43 [size =\"43462656\"]\n  29 -> 45 [size =\"43462656\"]\n  29 -> 50 [size =\"43462656\"]\n  30 [size=\"137117013\", alpha=\"0.17\", expect_size=\"41135104\"] \n  30 -> 34 [size =\"41135104\"]\n  30 -> 44 [size =\"41135104\"]\n  30 -> 45 [size =\"41135104\"]\n  30 -> 50 [size =\"41135104\"]\n  31 [size=\"71823360\", alpha=\"0.03\", expect_size=\"21547008\"] \n  31 -> 34 [size =\"21547008\"]\n  31 -> 39 [size =\"21547008\"]\n  31 -> 41 [size =\"21547008\"]\n  31 -> 44 [size =\"21547008\"]\n  31 -> 47 [size =\"21547008\"]\n  32 [size=\"171663360\", alpha=\"0.05\", expect_size=\"51499008\"] \n  32 -> 44 [size =\"51499008\"]\n  32 -> 49 [size =\"51499008\"]\n  33 [size=\"109922987\", alpha=\"0.01\", expect_size=\"32976896\"] \n  33 -> 34 [size =\"32976896\"]\n  33 -> 39 [size =\"32976896\"]\n  33 -> 44 [size =\"32976896\"]\n  33 -> 48 [size =\"32976896\"]\n  34 [size=\"155105280\", alpha=\"0.09\", expect_size=\"46531584\"] \n  35 [size=\"110438400\", alpha=\"0.06\", expect_size=\"33131520\"] \n  36 [size=\"57333760\", alpha=\"0.01\", expect_size=\"17200128\"] \n  37 [size=\"52019200\", alpha=\"0.16\", expect_size=\"15605760\"] \n  38 [size=\"110066347\", alpha=\"0.07\", expect_size=\"33019904\"] \n  39 [size=\"151739733\", alpha=\"0.02\", expect_size=\"45521920\"] \n  40 [size=\"99000320\", alpha=\"0.08\", expect_size=\"29700096\"] \n  41 [size=\"77100373\", alpha=\"0.02\", expect_size=\"23130112\"] \n  42 [size=\"103925760\", alpha=\"0.05\", expect_size=\"31177728\"] \n  43 [size=\"146326187\", alpha=\"0.04\", expect_size=\"43897856\"] \n  44 [size=\"157364907\", alpha=\"0.02\", expect_size=\"47209472\"] \n  45 [size=\"70270293\", alpha=\"0.14\", expect_size=\"21081088\"] \n  46 [size=\"118640640\", alpha=\"0.02\", expect_size=\"35592192\"] \n  47 [size=\"126081707\", alpha=\"0.01\", expect_size=\"37824512\"] \n  48 [size=\"92979200\", alpha=\"0.04\", expect_size=\"27893760\"] \n  49 [size=\"150842027\", alpha=\"0.03\", expect_size=\"45252608\"] \n  50 [size=\"169058987\", alpha=\"0.17\", expect_size=\"50717696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.501.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81078272\", alpha=\"0.15\", expect_size=\"40539136\"] \n  1 -> 4 [size =\"40539136\"]\n  2 [size=\"80379904\", alpha=\"0.16\", expect_size=\"40189952\"] \n  3 [size=\"98256896\", alpha=\"0.01\", expect_size=\"49128448\"] \n  3 -> 4 [size =\"49128448\"]\n  3 -> 5 [size =\"49128448\"]\n  3 -> 6 [size =\"49128448\"]\n  4 [size=\"51286016\", alpha=\"0.16\", expect_size=\"25643008\"] \n  4 -> 7 [size =\"25643008\"]\n  5 [size=\"17856512\", alpha=\"0.01\", expect_size=\"8928256\"] \n  5 -> 8 [size =\"8928256\"]\n  5 -> 9 [size =\"8928256\"]\n  6 [size=\"69412864\", alpha=\"0.13\", expect_size=\"34706432\"] \n  6 -> 9 [size =\"34706432\"]\n  7 [size=\"69967872\", alpha=\"0.13\", expect_size=\"34983936\"] \n  8 [size=\"13072384\", alpha=\"0.19\", expect_size=\"6536192\"] \n  8 -> 11 [size =\"6536192\"]\n  9 [size=\"14845952\", alpha=\"0.16\", expect_size=\"7422976\"] \n  9 -> 10 [size =\"7422976\"]\n  9 -> 11 [size =\"7422976\"]\n  10 [size=\"86872064\", alpha=\"0.06\", expect_size=\"43436032\"] \n  10 -> 12 [size =\"43436032\"]\n  10 -> 14 [size =\"43436032\"]\n  11 [size=\"82724864\", alpha=\"0.09\", expect_size=\"41362432\"] \n  11 -> 12 [size =\"41362432\"]\n  11 -> 13 [size =\"41362432\"]\n  11 -> 14 [size =\"41362432\"]\n  12 [size=\"59084800\", alpha=\"0.05\", expect_size=\"29542400\"] \n  12 -> 15 [size =\"29542400\"]\n  12 -> 16 [size =\"29542400\"]\n  12 -> 17 [size =\"29542400\"]\n  13 [size=\"40650752\", alpha=\"0.01\", expect_size=\"20325376\"] \n  13 -> 16 [size =\"20325376\"]\n  13 -> 16 [size =\"20325376\"]\n  13 -> 17 [size =\"20325376\"]\n  13 -> 18 [size =\"20325376\"]\n  14 [size=\"47206400\", alpha=\"0.08\", expect_size=\"23603200\"] \n  14 -> 17 [size =\"23603200\"]\n  14 -> 18 [size =\"23603200\"]\n  15 [size=\"29136896\", alpha=\"0.06\", expect_size=\"14568448\"] \n  16 [size=\"34383872\", alpha=\"0.01\", expect_size=\"17191936\"] \n  17 [size=\"96923648\", alpha=\"0.03\", expect_size=\"48461824\"] \n  17 -> 19 [size =\"48461824\"]\n  17 -> 20 [size =\"48461824\"]\n  17 -> 21 [size =\"48461824\"]\n  18 [size=\"66248704\", alpha=\"0.06\", expect_size=\"33124352\"] \n  18 -> 20 [size =\"33124352\"]\n  19 [size=\"61548544\", alpha=\"0.10\", expect_size=\"30774272\"] \n  19 -> 22 [size =\"30774272\"]\n  20 [size=\"43411456\", alpha=\"0.11\", expect_size=\"21705728\"] \n  21 [size=\"72994816\", alpha=\"0.07\", expect_size=\"36497408\"] \n  22 [size=\"19697664\", alpha=\"0.18\", expect_size=\"9848832\"] \n  22 -> 23 [size =\"9848832\"]\n  22 -> 24 [size =\"9848832\"]\n  23 [size=\"42823680\", alpha=\"0.07\", expect_size=\"21411840\"] \n  23 -> 25 [size =\"21411840\"]\n  24 [size=\"45502464\", alpha=\"0.05\", expect_size=\"22751232\"] \n  24 -> 25 [size =\"22751232\"]\n  25 [size=\"83865600\", alpha=\"0.05\", expect_size=\"41932800\"] \n  25 -> 26 [size =\"41932800\"]\n  25 -> 27 [size =\"41932800\"]\n  26 [size=\"18470912\", alpha=\"0.17\", expect_size=\"9235456\"] \n  26 -> 28 [size =\"9235456\"]\n  27 [size=\"25436160\", alpha=\"0.02\", expect_size=\"12718080\"] \n  27 -> 28 [size =\"12718080\"]\n  28 [size=\"40589312\", alpha=\"0.07\", expect_size=\"20294656\"] \n  28 -> 29 [size =\"20294656\"]\n  28 -> 30 [size =\"20294656\"]\n  29 [size=\"71018496\", alpha=\"0.14\", expect_size=\"35509248\"] \n  30 [size=\"22704128\", alpha=\"0.16\", expect_size=\"11352064\"] \n  30 -> 31 [size =\"11352064\"]\n  31 [size=\"73955328\", alpha=\"0.14\", expect_size=\"36977664\"] \n  31 -> 32 [size =\"36977664\"]\n  32 [size=\"12249088\", alpha=\"0.02\", expect_size=\"6124544\"] \n  32 -> 33 [size =\"6124544\"]\n  32 -> 34 [size =\"6124544\"]\n  32 -> 35 [size =\"6124544\"]\n  32 -> 36 [size =\"6124544\"]\n  33 [size=\"96225280\", alpha=\"0.16\", expect_size=\"48112640\"] \n  33 -> 37 [size =\"48112640\"]\n  33 -> 39 [size =\"48112640\"]\n  34 [size=\"36167680\", alpha=\"0.19\", expect_size=\"18083840\"] \n  34 -> 38 [size =\"18083840\"]\n  35 [size=\"61620224\", alpha=\"0.05\", expect_size=\"30810112\"] \n  35 -> 38 [size =\"30810112\"]\n  36 [size=\"85583872\", alpha=\"0.16\", expect_size=\"42791936\"] \n  36 -> 37 [size =\"42791936\"]\n  36 -> 38 [size =\"42791936\"]\n  37 [size=\"72613888\", alpha=\"0.05\", expect_size=\"36306944\"] \n  37 -> 43 [size =\"36306944\"]\n  38 [size=\"82194432\", alpha=\"0.07\", expect_size=\"41097216\"] \n  38 -> 40 [size =\"41097216\"]\n  38 -> 43 [size =\"41097216\"]\n  39 [size=\"22538240\", alpha=\"0.19\", expect_size=\"11269120\"] \n  39 -> 41 [size =\"11269120\"]\n  39 -> 42 [size =\"11269120\"]\n  40 [size=\"86751232\", alpha=\"0.18\", expect_size=\"43375616\"] \n  40 -> 44 [size =\"43375616\"]\n  40 -> 45 [size =\"43375616\"]\n  41 [size=\"68102144\", alpha=\"0.11\", expect_size=\"34051072\"] \n  41 -> 45 [size =\"34051072\"]\n  41 -> 46 [size =\"34051072\"]\n  42 [size=\"38834176\", alpha=\"0.05\", expect_size=\"19417088\"] \n  42 -> 44 [size =\"19417088\"]\n  43 [size=\"47544320\", alpha=\"0.06\", expect_size=\"23772160\"] \n  43 -> 44 [size =\"23772160\"]\n  43 -> 45 [size =\"23772160\"]\n  43 -> 46 [size =\"23772160\"]\n  44 [size=\"30025728\", alpha=\"0.15\", expect_size=\"15012864\"] \n  44 -> 48 [size =\"15012864\"]\n  44 -> 49 [size =\"15012864\"]\n  44 -> 50 [size =\"15012864\"]\n  45 [size=\"23001088\", alpha=\"0.19\", expect_size=\"11500544\"] \n  45 -> 49 [size =\"11500544\"]\n  45 -> 50 [size =\"11500544\"]\n  46 [size=\"45121536\", alpha=\"0.05\", expect_size=\"22560768\"] \n  46 -> 47 [size =\"22560768\"]\n  47 [size=\"25915392\", alpha=\"0.14\", expect_size=\"12957696\"] \n  48 [size=\"51822592\", alpha=\"0.10\", expect_size=\"25911296\"] \n  49 [size=\"84236288\", alpha=\"0.18\", expect_size=\"42118144\"] \n  50 [size=\"79845376\", alpha=\"0.09\", expect_size=\"39922688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.502.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102236160\", alpha=\"0.17\", expect_size=\"51118080\"] \n  1 -> 4 [size =\"51118080\"]\n  1 -> 5 [size =\"51118080\"]\n  2 [size=\"44697600\", alpha=\"0.05\", expect_size=\"22348800\"] \n  3 [size=\"64231424\", alpha=\"0.07\", expect_size=\"32115712\"] \n  3 -> 5 [size =\"32115712\"]\n  4 [size=\"94085120\", alpha=\"0.03\", expect_size=\"47042560\"] \n  4 -> 6 [size =\"47042560\"]\n  4 -> 7 [size =\"47042560\"]\n  5 [size=\"36239360\", alpha=\"0.17\", expect_size=\"18119680\"] \n  5 -> 8 [size =\"18119680\"]\n  6 [size=\"22151168\", alpha=\"0.01\", expect_size=\"11075584\"] \n  6 -> 11 [size =\"11075584\"]\n  7 [size=\"12103680\", alpha=\"0.17\", expect_size=\"6051840\"] \n  7 -> 9 [size =\"6051840\"]\n  7 -> 11 [size =\"6051840\"]\n  8 [size=\"52529152\", alpha=\"0.06\", expect_size=\"26264576\"] \n  8 -> 9 [size =\"26264576\"]\n  8 -> 10 [size =\"26264576\"]\n  9 [size=\"69259264\", alpha=\"0.11\", expect_size=\"34629632\"] \n  9 -> 12 [size =\"34629632\"]\n  9 -> 13 [size =\"34629632\"]\n  9 -> 14 [size =\"34629632\"]\n  10 [size=\"98658304\", alpha=\"0.03\", expect_size=\"49329152\"] \n  10 -> 12 [size =\"49329152\"]\n  11 [size=\"93507584\", alpha=\"0.04\", expect_size=\"46753792\"] \n  11 -> 13 [size =\"46753792\"]\n  12 [size=\"80500736\", alpha=\"0.04\", expect_size=\"40250368\"] \n  12 -> 15 [size =\"40250368\"]\n  12 -> 16 [size =\"40250368\"]\n  13 [size=\"103831552\", alpha=\"0.11\", expect_size=\"51915776\"] \n  13 -> 17 [size =\"51915776\"]\n  14 [size=\"42690560\", alpha=\"0.16\", expect_size=\"21345280\"] \n  14 -> 16 [size =\"21345280\"]\n  14 -> 17 [size =\"21345280\"]\n  15 [size=\"58431488\", alpha=\"0.19\", expect_size=\"29215744\"] \n  15 -> 19 [size =\"29215744\"]\n  16 [size=\"46604288\", alpha=\"0.13\", expect_size=\"23302144\"] \n  16 -> 19 [size =\"23302144\"]\n  17 [size=\"52785152\", alpha=\"0.12\", expect_size=\"26392576\"] \n  17 -> 18 [size =\"26392576\"]\n  18 [size=\"36993024\", alpha=\"0.02\", expect_size=\"18496512\"] \n  18 -> 20 [size =\"18496512\"]\n  18 -> 21 [size =\"18496512\"]\n  18 -> 22 [size =\"18496512\"]\n  19 [size=\"66527232\", alpha=\"0.01\", expect_size=\"33263616\"] \n  20 [size=\"24160256\", alpha=\"0.15\", expect_size=\"12080128\"] \n  20 -> 24 [size =\"12080128\"]\n  21 [size=\"37244928\", alpha=\"0.08\", expect_size=\"18622464\"] \n  21 -> 23 [size =\"18622464\"]\n  22 [size=\"53874688\", alpha=\"0.08\", expect_size=\"26937344\"] \n  22 -> 23 [size =\"26937344\"]\n  23 [size=\"70766592\", alpha=\"0.20\", expect_size=\"35383296\"] \n  23 -> 26 [size =\"35383296\"]\n  24 [size=\"28708864\", alpha=\"0.09\", expect_size=\"14354432\"] \n  24 -> 25 [size =\"14354432\"]\n  24 -> 26 [size =\"14354432\"]\n  24 -> 27 [size =\"14354432\"]\n  25 [size=\"103045120\", alpha=\"0.03\", expect_size=\"51522560\"] \n  25 -> 29 [size =\"51522560\"]\n  26 [size=\"98652160\", alpha=\"0.01\", expect_size=\"49326080\"] \n  26 -> 28 [size =\"49326080\"]\n  26 -> 29 [size =\"49326080\"]\n  27 [size=\"65658880\", alpha=\"0.18\", expect_size=\"32829440\"] \n  28 [size=\"26677248\", alpha=\"0.05\", expect_size=\"13338624\"] \n  28 -> 31 [size =\"13338624\"]\n  28 -> 32 [size =\"13338624\"]\n  29 [size=\"35008512\", alpha=\"0.04\", expect_size=\"17504256\"] \n  29 -> 30 [size =\"17504256\"]\n  29 -> 32 [size =\"17504256\"]\n  30 [size=\"41889792\", alpha=\"0.01\", expect_size=\"20944896\"] \n  30 -> 33 [size =\"20944896\"]\n  30 -> 34 [size =\"20944896\"]\n  31 [size=\"17893376\", alpha=\"0.16\", expect_size=\"8946688\"] \n  32 [size=\"54765568\", alpha=\"0.06\", expect_size=\"27382784\"] \n  33 [size=\"92350464\", alpha=\"0.16\", expect_size=\"46175232\"] \n  33 -> 36 [size =\"46175232\"]\n  34 [size=\"90021888\", alpha=\"0.13\", expect_size=\"45010944\"] \n  34 -> 35 [size =\"45010944\"]\n  34 -> 36 [size =\"45010944\"]\n  35 [size=\"37005312\", alpha=\"0.20\", expect_size=\"18502656\"] \n  35 -> 37 [size =\"18502656\"]\n  35 -> 38 [size =\"18502656\"]\n  36 [size=\"53430272\", alpha=\"0.14\", expect_size=\"26715136\"] \n  36 -> 37 [size =\"26715136\"]\n  36 -> 38 [size =\"26715136\"]\n  37 [size=\"56590336\", alpha=\"0.17\", expect_size=\"28295168\"] \n  37 -> 39 [size =\"28295168\"]\n  38 [size=\"48103424\", alpha=\"0.06\", expect_size=\"24051712\"] \n  38 -> 39 [size =\"24051712\"]\n  38 -> 40 [size =\"24051712\"]\n  39 [size=\"70017024\", alpha=\"0.07\", expect_size=\"35008512\"] \n  39 -> 42 [size =\"35008512\"]\n  40 [size=\"86732800\", alpha=\"0.11\", expect_size=\"43366400\"] \n  40 -> 41 [size =\"43366400\"]\n  40 -> 42 [size =\"43366400\"]\n  41 [size=\"92049408\", alpha=\"0.01\", expect_size=\"46024704\"] \n  41 -> 43 [size =\"46024704\"]\n  41 -> 44 [size =\"46024704\"]\n  41 -> 45 [size =\"46024704\"]\n  42 [size=\"74620928\", alpha=\"0.19\", expect_size=\"37310464\"] \n  43 [size=\"104460288\", alpha=\"0.11\", expect_size=\"52230144\"] \n  43 -> 48 [size =\"52230144\"]\n  44 [size=\"86169600\", alpha=\"0.06\", expect_size=\"43084800\"] \n  44 -> 46 [size =\"43084800\"]\n  44 -> 47 [size =\"43084800\"]\n  44 -> 48 [size =\"43084800\"]\n  45 [size=\"51957760\", alpha=\"0.01\", expect_size=\"25978880\"] \n  46 [size=\"49770496\", alpha=\"0.15\", expect_size=\"24885248\"] \n  47 [size=\"21354496\", alpha=\"0.20\", expect_size=\"10677248\"] \n  47 -> 49 [size =\"10677248\"]\n  48 [size=\"103385088\", alpha=\"0.09\", expect_size=\"51692544\"] \n  48 -> 49 [size =\"51692544\"]\n  48 -> 50 [size =\"51692544\"]\n  49 [size=\"39254016\", alpha=\"0.02\", expect_size=\"19627008\"] \n  50 [size=\"73746432\", alpha=\"0.03\", expect_size=\"36873216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.503.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73403733\", alpha=\"0.09\", expect_size=\"22021120\"] \n  1 -> 6 [size =\"22021120\"]\n  1 -> 8 [size =\"22021120\"]\n  1 -> 10 [size =\"22021120\"]\n  2 [size=\"158146560\", alpha=\"0.16\", expect_size=\"47443968\"] \n  3 [size=\"170574507\", alpha=\"0.14\", expect_size=\"51172352\"] \n  3 -> 6 [size =\"51172352\"]\n  3 -> 7 [size =\"51172352\"]\n  3 -> 8 [size =\"51172352\"]\n  4 [size=\"52817920\", alpha=\"0.06\", expect_size=\"15845376\"] \n  4 -> 8 [size =\"15845376\"]\n  4 -> 9 [size =\"15845376\"]\n  4 -> 10 [size =\"15845376\"]\n  5 [size=\"115991893\", alpha=\"0.06\", expect_size=\"34797568\"] \n  5 -> 9 [size =\"34797568\"]\n  5 -> 9 [size =\"34797568\"]\n  5 -> 10 [size =\"34797568\"]\n  6 [size=\"35693227\", alpha=\"0.14\", expect_size=\"10707968\"] \n  6 -> 12 [size =\"10707968\"]\n  7 [size=\"17790293\", alpha=\"0.01\", expect_size=\"5337088\"] \n  8 [size=\"100642133\", alpha=\"0.02\", expect_size=\"30192640\"] \n  8 -> 12 [size =\"30192640\"]\n  8 -> 13 [size =\"30192640\"]\n  8 -> 14 [size =\"30192640\"]\n  9 [size=\"134601387\", alpha=\"0.19\", expect_size=\"40380416\"] \n  9 -> 11 [size =\"40380416\"]\n  10 [size=\"90873173\", alpha=\"0.17\", expect_size=\"27261952\"] \n  10 -> 11 [size =\"27261952\"]\n  10 -> 15 [size =\"27261952\"]\n  11 [size=\"167533227\", alpha=\"0.06\", expect_size=\"50259968\"] \n  11 -> 19 [size =\"50259968\"]\n  11 -> 21 [size =\"50259968\"]\n  11 -> 22 [size =\"50259968\"]\n  12 [size=\"81322667\", alpha=\"0.12\", expect_size=\"24396800\"] \n  12 -> 17 [size =\"24396800\"]\n  12 -> 18 [size =\"24396800\"]\n  12 -> 19 [size =\"24396800\"]\n  12 -> 20 [size =\"24396800\"]\n  12 -> 22 [size =\"24396800\"]\n  12 -> 23 [size =\"24396800\"]\n  13 [size=\"47718400\", alpha=\"0.05\", expect_size=\"14315520\"] \n  13 -> 16 [size =\"14315520\"]\n  13 -> 17 [size =\"14315520\"]\n  13 -> 20 [size =\"14315520\"]\n  13 -> 20 [size =\"14315520\"]\n  13 -> 22 [size =\"14315520\"]\n  13 -> 23 [size =\"14315520\"]\n  14 [size=\"154893653\", alpha=\"0.15\", expect_size=\"46468096\"] \n  14 -> 16 [size =\"46468096\"]\n  14 -> 17 [size =\"46468096\"]\n  14 -> 21 [size =\"46468096\"]\n  15 [size=\"41205760\", alpha=\"0.18\", expect_size=\"12361728\"] \n  15 -> 16 [size =\"12361728\"]\n  15 -> 21 [size =\"12361728\"]\n  16 [size=\"84869120\", alpha=\"0.17\", expect_size=\"25460736\"] \n  16 -> 24 [size =\"25460736\"]\n  16 -> 25 [size =\"25460736\"]\n  16 -> 29 [size =\"25460736\"]\n  17 [size=\"40471893\", alpha=\"0.13\", expect_size=\"12141568\"] \n  17 -> 29 [size =\"12141568\"]\n  18 [size=\"48585387\", alpha=\"0.03\", expect_size=\"14575616\"] \n  18 -> 25 [size =\"14575616\"]\n  18 -> 27 [size =\"14575616\"]\n  18 -> 28 [size =\"14575616\"]\n  19 [size=\"62109013\", alpha=\"0.13\", expect_size=\"18632704\"] \n  19 -> 25 [size =\"18632704\"]\n  19 -> 27 [size =\"18632704\"]\n  19 -> 29 [size =\"18632704\"]\n  20 [size=\"52312747\", alpha=\"0.13\", expect_size=\"15693824\"] \n  20 -> 26 [size =\"15693824\"]\n  20 -> 28 [size =\"15693824\"]\n  20 -> 29 [size =\"15693824\"]\n  20 -> 30 [size =\"15693824\"]\n  21 [size=\"29498027\", alpha=\"0.00\", expect_size=\"8849408\"] \n  21 -> 27 [size =\"8849408\"]\n  21 -> 28 [size =\"8849408\"]\n  21 -> 30 [size =\"8849408\"]\n  22 [size=\"76168533\", alpha=\"0.06\", expect_size=\"22850560\"] \n  22 -> 25 [size =\"22850560\"]\n  22 -> 28 [size =\"22850560\"]\n  22 -> 30 [size =\"22850560\"]\n  23 [size=\"168352427\", alpha=\"0.10\", expect_size=\"50505728\"] \n  23 -> 25 [size =\"50505728\"]\n  23 -> 30 [size =\"50505728\"]\n  24 [size=\"50571947\", alpha=\"0.19\", expect_size=\"15171584\"] \n  24 -> 31 [size =\"15171584\"]\n  24 -> 34 [size =\"15171584\"]\n  24 -> 36 [size =\"15171584\"]\n  25 [size=\"166109867\", alpha=\"0.01\", expect_size=\"49832960\"] \n  25 -> 35 [size =\"49832960\"]\n  26 [size=\"149101227\", alpha=\"0.04\", expect_size=\"44730368\"] \n  26 -> 31 [size =\"44730368\"]\n  26 -> 33 [size =\"44730368\"]\n  26 -> 36 [size =\"44730368\"]\n  27 [size=\"128249173\", alpha=\"0.08\", expect_size=\"38474752\"] \n  27 -> 32 [size =\"38474752\"]\n  27 -> 33 [size =\"38474752\"]\n  28 [size=\"73198933\", alpha=\"0.03\", expect_size=\"21959680\"] \n  28 -> 33 [size =\"21959680\"]\n  28 -> 33 [size =\"21959680\"]\n  29 [size=\"94392320\", alpha=\"0.12\", expect_size=\"28317696\"] \n  29 -> 34 [size =\"28317696\"]\n  30 [size=\"41031680\", alpha=\"0.11\", expect_size=\"12309504\"] \n  30 -> 31 [size =\"12309504\"]\n  30 -> 32 [size =\"12309504\"]\n  30 -> 34 [size =\"12309504\"]\n  30 -> 36 [size =\"12309504\"]\n  31 [size=\"145435307\", alpha=\"0.09\", expect_size=\"43630592\"] \n  31 -> 37 [size =\"43630592\"]\n  31 -> 38 [size =\"43630592\"]\n  31 -> 39 [size =\"43630592\"]\n  32 [size=\"148957867\", alpha=\"0.15\", expect_size=\"44687360\"] \n  32 -> 38 [size =\"44687360\"]\n  32 -> 43 [size =\"44687360\"]\n  33 [size=\"34986667\", alpha=\"0.04\", expect_size=\"10496000\"] \n  33 -> 38 [size =\"10496000\"]\n  33 -> 40 [size =\"10496000\"]\n  33 -> 41 [size =\"10496000\"]\n  34 [size=\"113906347\", alpha=\"0.12\", expect_size=\"34171904\"] \n  34 -> 39 [size =\"34171904\"]\n  34 -> 41 [size =\"34171904\"]\n  34 -> 43 [size =\"34171904\"]\n  35 [size=\"106489173\", alpha=\"0.02\", expect_size=\"31946752\"] \n  35 -> 37 [size =\"31946752\"]\n  35 -> 40 [size =\"31946752\"]\n  35 -> 41 [size =\"31946752\"]\n  35 -> 43 [size =\"31946752\"]\n  35 -> 44 [size =\"31946752\"]\n  36 [size=\"111250773\", alpha=\"0.01\", expect_size=\"33375232\"] \n  36 -> 37 [size =\"33375232\"]\n  36 -> 38 [size =\"33375232\"]\n  36 -> 40 [size =\"33375232\"]\n  36 -> 41 [size =\"33375232\"]\n  36 -> 42 [size =\"33375232\"]\n  37 [size=\"146411520\", alpha=\"0.02\", expect_size=\"43923456\"] \n  37 -> 45 [size =\"43923456\"]\n  37 -> 50 [size =\"43923456\"]\n  38 [size=\"54999040\", alpha=\"0.08\", expect_size=\"16499712\"] \n  38 -> 46 [size =\"16499712\"]\n  38 -> 47 [size =\"16499712\"]\n  38 -> 49 [size =\"16499712\"]\n  39 [size=\"77465600\", alpha=\"0.19\", expect_size=\"23239680\"] \n  39 -> 46 [size =\"23239680\"]\n  39 -> 48 [size =\"23239680\"]\n  39 -> 49 [size =\"23239680\"]\n  40 [size=\"173656747\", alpha=\"0.15\", expect_size=\"52097024\"] \n  40 -> 46 [size =\"52097024\"]\n  41 [size=\"102396587\", alpha=\"0.13\", expect_size=\"30718976\"] \n  41 -> 50 [size =\"30718976\"]\n  42 [size=\"171028480\", alpha=\"0.17\", expect_size=\"51308544\"] \n  42 -> 46 [size =\"51308544\"]\n  42 -> 50 [size =\"51308544\"]\n  43 [size=\"128826027\", alpha=\"0.01\", expect_size=\"38647808\"] \n  43 -> 46 [size =\"38647808\"]\n  44 [size=\"163324587\", alpha=\"0.10\", expect_size=\"48997376\"] \n  44 -> 45 [size =\"48997376\"]\n  44 -> 50 [size =\"48997376\"]\n  45 [size=\"97365333\", alpha=\"0.17\", expect_size=\"29209600\"] \n  46 [size=\"111967573\", alpha=\"0.00\", expect_size=\"33590272\"] \n  47 [size=\"117241173\", alpha=\"0.18\", expect_size=\"35172352\"] \n  48 [size=\"136178347\", alpha=\"0.03\", expect_size=\"40853504\"] \n  49 [size=\"42608640\", alpha=\"0.18\", expect_size=\"12782592\"] \n  50 [size=\"38447787\", alpha=\"0.16\", expect_size=\"11534336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.504.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88346624\", alpha=\"0.19\", expect_size=\"44173312\"] \n  1 -> 2 [size =\"44173312\"]\n  2 [size=\"57552896\", alpha=\"0.18\", expect_size=\"28776448\"] \n  2 -> 3 [size =\"28776448\"]\n  3 [size=\"73080832\", alpha=\"0.11\", expect_size=\"36540416\"] \n  3 -> 4 [size =\"36540416\"]\n  4 [size=\"94029824\", alpha=\"0.05\", expect_size=\"47014912\"] \n  4 -> 5 [size =\"47014912\"]\n  5 [size=\"43966464\", alpha=\"0.01\", expect_size=\"21983232\"] \n  5 -> 6 [size =\"21983232\"]\n  6 [size=\"39911424\", alpha=\"0.16\", expect_size=\"19955712\"] \n  6 -> 7 [size =\"19955712\"]\n  7 [size=\"48482304\", alpha=\"0.00\", expect_size=\"24241152\"] \n  7 -> 8 [size =\"24241152\"]\n  8 [size=\"19724288\", alpha=\"0.09\", expect_size=\"9862144\"] \n  8 -> 9 [size =\"9862144\"]\n  9 [size=\"93245440\", alpha=\"0.16\", expect_size=\"46622720\"] \n  9 -> 10 [size =\"46622720\"]\n  10 [size=\"32243712\", alpha=\"0.19\", expect_size=\"16121856\"] \n  10 -> 11 [size =\"16121856\"]\n  11 [size=\"99399680\", alpha=\"0.16\", expect_size=\"49699840\"] \n  11 -> 12 [size =\"49699840\"]\n  12 [size=\"95932416\", alpha=\"0.10\", expect_size=\"47966208\"] \n  12 -> 13 [size =\"47966208\"]\n  13 [size=\"84717568\", alpha=\"0.03\", expect_size=\"42358784\"] \n  13 -> 14 [size =\"42358784\"]\n  14 [size=\"40804352\", alpha=\"0.09\", expect_size=\"20402176\"] \n  14 -> 15 [size =\"20402176\"]\n  15 [size=\"62287872\", alpha=\"0.18\", expect_size=\"31143936\"] \n  15 -> 16 [size =\"31143936\"]\n  16 [size=\"68210688\", alpha=\"0.12\", expect_size=\"34105344\"] \n  16 -> 17 [size =\"34105344\"]\n  17 [size=\"50419712\", alpha=\"0.03\", expect_size=\"25209856\"] \n  17 -> 18 [size =\"25209856\"]\n  18 [size=\"52396032\", alpha=\"0.11\", expect_size=\"26198016\"] \n  18 -> 19 [size =\"26198016\"]\n  19 [size=\"94093312\", alpha=\"0.02\", expect_size=\"47046656\"] \n  19 -> 20 [size =\"47046656\"]\n  20 [size=\"76322816\", alpha=\"0.18\", expect_size=\"38161408\"] \n  20 -> 21 [size =\"38161408\"]\n  21 [size=\"69341184\", alpha=\"0.10\", expect_size=\"34670592\"] \n  21 -> 22 [size =\"34670592\"]\n  22 [size=\"50597888\", alpha=\"0.13\", expect_size=\"25298944\"] \n  22 -> 23 [size =\"25298944\"]\n  23 [size=\"99985408\", alpha=\"0.08\", expect_size=\"49992704\"] \n  23 -> 24 [size =\"49992704\"]\n  24 [size=\"20113408\", alpha=\"0.02\", expect_size=\"10056704\"] \n  24 -> 25 [size =\"10056704\"]\n  25 [size=\"60241920\", alpha=\"0.02\", expect_size=\"30120960\"] \n  25 -> 26 [size =\"30120960\"]\n  26 [size=\"48697344\", alpha=\"0.09\", expect_size=\"24348672\"] \n  26 -> 27 [size =\"24348672\"]\n  27 [size=\"10780672\", alpha=\"0.04\", expect_size=\"5390336\"] \n  27 -> 28 [size =\"5390336\"]\n  28 [size=\"25964544\", alpha=\"0.00\", expect_size=\"12982272\"] \n  28 -> 29 [size =\"12982272\"]\n  29 [size=\"76197888\", alpha=\"0.15\", expect_size=\"38098944\"] \n  29 -> 30 [size =\"38098944\"]\n  30 [size=\"85374976\", alpha=\"0.14\", expect_size=\"42687488\"] \n  30 -> 31 [size =\"42687488\"]\n  31 [size=\"75376640\", alpha=\"0.11\", expect_size=\"37688320\"] \n  31 -> 32 [size =\"37688320\"]\n  32 [size=\"29696000\", alpha=\"0.07\", expect_size=\"14848000\"] \n  32 -> 33 [size =\"14848000\"]\n  33 [size=\"89772032\", alpha=\"0.19\", expect_size=\"44886016\"] \n  33 -> 34 [size =\"44886016\"]\n  34 [size=\"35086336\", alpha=\"0.17\", expect_size=\"17543168\"] \n  34 -> 35 [size =\"17543168\"]\n  35 [size=\"43554816\", alpha=\"0.06\", expect_size=\"21777408\"] \n  35 -> 36 [size =\"21777408\"]\n  36 [size=\"54286336\", alpha=\"0.07\", expect_size=\"27143168\"] \n  36 -> 37 [size =\"27143168\"]\n  37 [size=\"96706560\", alpha=\"0.17\", expect_size=\"48353280\"] \n  37 -> 38 [size =\"48353280\"]\n  38 [size=\"20072448\", alpha=\"0.15\", expect_size=\"10036224\"] \n  38 -> 39 [size =\"10036224\"]\n  39 [size=\"22366208\", alpha=\"0.11\", expect_size=\"11183104\"] \n  39 -> 40 [size =\"11183104\"]\n  40 [size=\"91975680\", alpha=\"0.02\", expect_size=\"45987840\"] \n  40 -> 41 [size =\"45987840\"]\n  41 [size=\"61917184\", alpha=\"0.04\", expect_size=\"30958592\"] \n  41 -> 42 [size =\"30958592\"]\n  42 [size=\"21104640\", alpha=\"0.15\", expect_size=\"10552320\"] \n  42 -> 43 [size =\"10552320\"]\n  43 [size=\"54986752\", alpha=\"0.06\", expect_size=\"27493376\"] \n  43 -> 44 [size =\"27493376\"]\n  44 [size=\"49051648\", alpha=\"0.18\", expect_size=\"24525824\"] \n  44 -> 45 [size =\"24525824\"]\n  45 [size=\"33622016\", alpha=\"0.01\", expect_size=\"16811008\"] \n  45 -> 46 [size =\"16811008\"]\n  46 [size=\"60497920\", alpha=\"0.11\", expect_size=\"30248960\"] \n  46 -> 47 [size =\"30248960\"]\n  47 [size=\"93034496\", alpha=\"0.02\", expect_size=\"46517248\"] \n  47 -> 48 [size =\"46517248\"]\n  48 [size=\"76793856\", alpha=\"0.17\", expect_size=\"38396928\"] \n  48 -> 49 [size =\"38396928\"]\n  49 [size=\"53690368\", alpha=\"0.05\", expect_size=\"26845184\"] \n  49 -> 50 [size =\"26845184\"]\n  50 [size=\"12957696\", alpha=\"0.09\", expect_size=\"6478848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.505.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135574187\", alpha=\"0.19\", expect_size=\"40672256\"] \n  2 [size=\"152579413\", alpha=\"0.13\", expect_size=\"45773824\"] \n  2 -> 46 [size =\"45773824\"]\n  3 [size=\"108028587\", alpha=\"0.10\", expect_size=\"32408576\"] \n  3 -> 43 [size =\"32408576\"]\n  4 [size=\"102341973\", alpha=\"0.10\", expect_size=\"30702592\"] \n  4 -> 43 [size =\"30702592\"]\n  4 -> 45 [size =\"30702592\"]\n  4 -> 46 [size =\"30702592\"]\n  5 [size=\"86155947\", alpha=\"0.08\", expect_size=\"25846784\"] \n  6 [size=\"61160107\", alpha=\"0.18\", expect_size=\"18348032\"] \n  6 -> 45 [size =\"18348032\"]\n  7 [size=\"160713387\", alpha=\"0.12\", expect_size=\"48214016\"] \n  7 -> 43 [size =\"48214016\"]\n  8 [size=\"32235520\", alpha=\"0.13\", expect_size=\"9670656\"] \n  9 [size=\"69853867\", alpha=\"0.08\", expect_size=\"20956160\"] \n  9 -> 43 [size =\"20956160\"]\n  9 -> 45 [size =\"20956160\"]\n  9 -> 49 [size =\"20956160\"]\n  10 [size=\"139236693\", alpha=\"0.08\", expect_size=\"41771008\"] \n  10 -> 43 [size =\"41771008\"]\n  11 [size=\"39505920\", alpha=\"0.10\", expect_size=\"11851776\"] \n  11 -> 43 [size =\"11851776\"]\n  11 -> 45 [size =\"11851776\"]\n  11 -> 50 [size =\"11851776\"]\n  12 [size=\"32498347\", alpha=\"0.18\", expect_size=\"9749504\"] \n  12 -> 43 [size =\"9749504\"]\n  12 -> 46 [size =\"9749504\"]\n  13 [size=\"137007787\", alpha=\"0.13\", expect_size=\"41102336\"] \n  13 -> 43 [size =\"41102336\"]\n  13 -> 47 [size =\"41102336\"]\n  13 -> 48 [size =\"41102336\"]\n  14 [size=\"56207360\", alpha=\"0.01\", expect_size=\"16862208\"] \n  14 -> 43 [size =\"16862208\"]\n  14 -> 45 [size =\"16862208\"]\n  14 -> 49 [size =\"16862208\"]\n  14 -> 50 [size =\"16862208\"]\n  15 [size=\"133205333\", alpha=\"0.11\", expect_size=\"39961600\"] \n  15 -> 43 [size =\"39961600\"]\n  16 [size=\"39383040\", alpha=\"0.16\", expect_size=\"11814912\"] \n  17 [size=\"26767360\", alpha=\"0.14\", expect_size=\"8030208\"] \n  17 -> 45 [size =\"8030208\"]\n  17 -> 50 [size =\"8030208\"]\n  18 [size=\"118579200\", alpha=\"0.12\", expect_size=\"35573760\"] \n  18 -> 43 [size =\"35573760\"]\n  18 -> 45 [size =\"35573760\"]\n  19 [size=\"60286293\", alpha=\"0.13\", expect_size=\"18085888\"] \n  19 -> 43 [size =\"18085888\"]\n  19 -> 49 [size =\"18085888\"]\n  20 [size=\"125675520\", alpha=\"0.12\", expect_size=\"37702656\"] \n  20 -> 43 [size =\"37702656\"]\n  20 -> 44 [size =\"37702656\"]\n  20 -> 49 [size =\"37702656\"]\n  21 [size=\"28651520\", alpha=\"0.06\", expect_size=\"8595456\"] \n  21 -> 48 [size =\"8595456\"]\n  21 -> 50 [size =\"8595456\"]\n  22 [size=\"109629440\", alpha=\"0.17\", expect_size=\"32888832\"] \n  22 -> 45 [size =\"32888832\"]\n  23 [size=\"90071040\", alpha=\"0.20\", expect_size=\"27021312\"] \n  23 -> 43 [size =\"27021312\"]\n  23 -> 44 [size =\"27021312\"]\n  23 -> 45 [size =\"27021312\"]\n  23 -> 46 [size =\"27021312\"]\n  24 [size=\"35911680\", alpha=\"0.13\", expect_size=\"10773504\"] \n  24 -> 45 [size =\"10773504\"]\n  24 -> 48 [size =\"10773504\"]\n  25 [size=\"43735040\", alpha=\"0.15\", expect_size=\"13120512\"] \n  25 -> 43 [size =\"13120512\"]\n  25 -> 48 [size =\"13120512\"]\n  25 -> 49 [size =\"13120512\"]\n  26 [size=\"130699947\", alpha=\"0.03\", expect_size=\"39209984\"] \n  26 -> 48 [size =\"39209984\"]\n  27 [size=\"100614827\", alpha=\"0.09\", expect_size=\"30184448\"] \n  27 -> 45 [size =\"30184448\"]\n  27 -> 46 [size =\"30184448\"]\n  28 [size=\"50681173\", alpha=\"0.17\", expect_size=\"15204352\"] \n  28 -> 46 [size =\"15204352\"]\n  29 [size=\"141260800\", alpha=\"0.11\", expect_size=\"42378240\"] \n  29 -> 46 [size =\"42378240\"]\n  30 [size=\"84565333\", alpha=\"0.01\", expect_size=\"25369600\"] \n  30 -> 45 [size =\"25369600\"]\n  30 -> 48 [size =\"25369600\"]\n  31 [size=\"19585707\", alpha=\"0.14\", expect_size=\"5875712\"] \n  31 -> 43 [size =\"5875712\"]\n  31 -> 45 [size =\"5875712\"]\n  31 -> 46 [size =\"5875712\"]\n  31 -> 50 [size =\"5875712\"]\n  32 [size=\"64426667\", alpha=\"0.09\", expect_size=\"19328000\"] \n  32 -> 43 [size =\"19328000\"]\n  32 -> 44 [size =\"19328000\"]\n  32 -> 50 [size =\"19328000\"]\n  33 [size=\"39618560\", alpha=\"0.18\", expect_size=\"11885568\"] \n  33 -> 43 [size =\"11885568\"]\n  34 [size=\"35717120\", alpha=\"0.13\", expect_size=\"10715136\"] \n  34 -> 50 [size =\"10715136\"]\n  35 [size=\"137584640\", alpha=\"0.03\", expect_size=\"41275392\"] \n  35 -> 49 [size =\"41275392\"]\n  36 [size=\"99334827\", alpha=\"0.15\", expect_size=\"29800448\"] \n  36 -> 49 [size =\"29800448\"]\n  37 [size=\"121941333\", alpha=\"0.09\", expect_size=\"36582400\"] \n  37 -> 43 [size =\"36582400\"]\n  37 -> 45 [size =\"36582400\"]\n  37 -> 49 [size =\"36582400\"]\n  37 -> 50 [size =\"36582400\"]\n  38 [size=\"34068480\", alpha=\"0.15\", expect_size=\"10220544\"] \n  38 -> 43 [size =\"10220544\"]\n  39 [size=\"165051733\", alpha=\"0.07\", expect_size=\"49515520\"] \n  40 [size=\"95402667\", alpha=\"0.12\", expect_size=\"28620800\"] \n  41 [size=\"104178347\", alpha=\"0.19\", expect_size=\"31253504\"] \n  41 -> 48 [size =\"31253504\"]\n  42 [size=\"56115200\", alpha=\"0.18\", expect_size=\"16834560\"] \n  42 -> 43 [size =\"16834560\"]\n  43 [size=\"123525120\", alpha=\"0.06\", expect_size=\"37057536\"] \n  44 [size=\"111370240\", alpha=\"0.16\", expect_size=\"33411072\"] \n  45 [size=\"58381653\", alpha=\"0.10\", expect_size=\"17514496\"] \n  46 [size=\"80288427\", alpha=\"0.18\", expect_size=\"24086528\"] \n  47 [size=\"41714347\", alpha=\"0.16\", expect_size=\"12514304\"] \n  48 [size=\"109236907\", alpha=\"0.19\", expect_size=\"32771072\"] \n  49 [size=\"69393067\", alpha=\"0.18\", expect_size=\"20817920\"] \n  50 [size=\"122269013\", alpha=\"0.05\", expect_size=\"36680704\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.506.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132293973\", alpha=\"0.05\", expect_size=\"39688192\"] \n  1 -> 2 [size =\"39688192\"]\n  2 [size=\"49998507\", alpha=\"0.02\", expect_size=\"14999552\"] \n  2 -> 3 [size =\"14999552\"]\n  3 [size=\"61381973\", alpha=\"0.10\", expect_size=\"18414592\"] \n  3 -> 4 [size =\"18414592\"]\n  4 [size=\"74195627\", alpha=\"0.13\", expect_size=\"22258688\"] \n  4 -> 5 [size =\"22258688\"]\n  5 [size=\"115258027\", alpha=\"0.14\", expect_size=\"34577408\"] \n  5 -> 6 [size =\"34577408\"]\n  6 [size=\"40949760\", alpha=\"0.20\", expect_size=\"12284928\"] \n  6 -> 7 [size =\"12284928\"]\n  7 [size=\"135946240\", alpha=\"0.10\", expect_size=\"40783872\"] \n  7 -> 8 [size =\"40783872\"]\n  8 [size=\"143127893\", alpha=\"0.07\", expect_size=\"42938368\"] \n  8 -> 9 [size =\"42938368\"]\n  9 [size=\"101191680\", alpha=\"0.02\", expect_size=\"30357504\"] \n  9 -> 10 [size =\"30357504\"]\n  10 [size=\"45400747\", alpha=\"0.13\", expect_size=\"13620224\"] \n  10 -> 11 [size =\"13620224\"]\n  11 [size=\"88715947\", alpha=\"0.06\", expect_size=\"26614784\"] \n  11 -> 12 [size =\"26614784\"]\n  12 [size=\"127030613\", alpha=\"0.14\", expect_size=\"38109184\"] \n  12 -> 13 [size =\"38109184\"]\n  13 [size=\"139605333\", alpha=\"0.18\", expect_size=\"41881600\"] \n  13 -> 14 [size =\"41881600\"]\n  14 [size=\"63477760\", alpha=\"0.10\", expect_size=\"19043328\"] \n  14 -> 15 [size =\"19043328\"]\n  15 [size=\"169492480\", alpha=\"0.13\", expect_size=\"50847744\"] \n  15 -> 16 [size =\"50847744\"]\n  16 [size=\"119951360\", alpha=\"0.14\", expect_size=\"35985408\"] \n  16 -> 17 [size =\"35985408\"]\n  17 [size=\"118869333\", alpha=\"0.08\", expect_size=\"35660800\"] \n  17 -> 18 [size =\"35660800\"]\n  18 [size=\"37696853\", alpha=\"0.05\", expect_size=\"11309056\"] \n  18 -> 19 [size =\"11309056\"]\n  19 [size=\"90166613\", alpha=\"0.07\", expect_size=\"27049984\"] \n  19 -> 20 [size =\"27049984\"]\n  20 [size=\"105574400\", alpha=\"0.19\", expect_size=\"31672320\"] \n  20 -> 21 [size =\"31672320\"]\n  21 [size=\"52531200\", alpha=\"0.05\", expect_size=\"15759360\"] \n  21 -> 22 [size =\"15759360\"]\n  22 [size=\"95955627\", alpha=\"0.16\", expect_size=\"28786688\"] \n  22 -> 23 [size =\"28786688\"]\n  23 [size=\"51517440\", alpha=\"0.12\", expect_size=\"15455232\"] \n  23 -> 24 [size =\"15455232\"]\n  24 [size=\"36085760\", alpha=\"0.15\", expect_size=\"10825728\"] \n  24 -> 25 [size =\"10825728\"]\n  25 [size=\"111063040\", alpha=\"0.11\", expect_size=\"33318912\"] \n  25 -> 26 [size =\"33318912\"]\n  26 [size=\"53108053\", alpha=\"0.10\", expect_size=\"15932416\"] \n  26 -> 27 [size =\"15932416\"]\n  27 [size=\"161140053\", alpha=\"0.04\", expect_size=\"48342016\"] \n  27 -> 28 [size =\"48342016\"]\n  28 [size=\"65686187\", alpha=\"0.14\", expect_size=\"19705856\"] \n  28 -> 29 [size =\"19705856\"]\n  29 [size=\"105103360\", alpha=\"0.14\", expect_size=\"31531008\"] \n  29 -> 30 [size =\"31531008\"]\n  30 [size=\"159518720\", alpha=\"0.18\", expect_size=\"47855616\"] \n  30 -> 31 [size =\"47855616\"]\n  31 [size=\"149756587\", alpha=\"0.11\", expect_size=\"44926976\"] \n  31 -> 32 [size =\"44926976\"]\n  32 [size=\"33351680\", alpha=\"0.18\", expect_size=\"10005504\"] \n  32 -> 33 [size =\"10005504\"]\n  33 [size=\"157395627\", alpha=\"0.01\", expect_size=\"47218688\"] \n  33 -> 34 [size =\"47218688\"]\n  34 [size=\"93938347\", alpha=\"0.09\", expect_size=\"28181504\"] \n  34 -> 35 [size =\"28181504\"]\n  35 [size=\"56989013\", alpha=\"0.17\", expect_size=\"17096704\"] \n  35 -> 36 [size =\"17096704\"]\n  36 [size=\"144329387\", alpha=\"0.18\", expect_size=\"43298816\"] \n  36 -> 37 [size =\"43298816\"]\n  37 [size=\"64863573\", alpha=\"0.11\", expect_size=\"19459072\"] \n  37 -> 38 [size =\"19459072\"]\n  38 [size=\"94351360\", alpha=\"0.07\", expect_size=\"28305408\"] \n  38 -> 39 [size =\"28305408\"]\n  39 [size=\"43868160\", alpha=\"0.13\", expect_size=\"13160448\"] \n  39 -> 40 [size =\"13160448\"]\n  40 [size=\"154419200\", alpha=\"0.10\", expect_size=\"46325760\"] \n  40 -> 41 [size =\"46325760\"]\n  41 [size=\"139359573\", alpha=\"0.11\", expect_size=\"41807872\"] \n  41 -> 42 [size =\"41807872\"]\n  42 [size=\"69928960\", alpha=\"0.02\", expect_size=\"20978688\"] \n  42 -> 43 [size =\"20978688\"]\n  43 [size=\"55681707\", alpha=\"0.17\", expect_size=\"16704512\"] \n  43 -> 44 [size =\"16704512\"]\n  44 [size=\"61467307\", alpha=\"0.15\", expect_size=\"18440192\"] \n  44 -> 45 [size =\"18440192\"]\n  45 [size=\"133290667\", alpha=\"0.05\", expect_size=\"39987200\"] \n  45 -> 46 [size =\"39987200\"]\n  46 [size=\"108588373\", alpha=\"0.19\", expect_size=\"32576512\"] \n  46 -> 47 [size =\"32576512\"]\n  47 [size=\"89845760\", alpha=\"0.12\", expect_size=\"26953728\"] \n  47 -> 48 [size =\"26953728\"]\n  48 [size=\"21162667\", alpha=\"0.10\", expect_size=\"6348800\"] \n  48 -> 49 [size =\"6348800\"]\n  49 [size=\"80049493\", alpha=\"0.20\", expect_size=\"24014848\"] \n  49 -> 50 [size =\"24014848\"]\n  50 [size=\"24623787\", alpha=\"0.08\", expect_size=\"7387136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.507.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79270400\", alpha=\"0.01\", expect_size=\"31708160\"] \n  1 -> 34 [size =\"31708160\"]\n  1 -> 38 [size =\"31708160\"]\n  1 -> 41 [size =\"31708160\"]\n  1 -> 42 [size =\"31708160\"]\n  1 -> 43 [size =\"31708160\"]\n  1 -> 45 [size =\"31708160\"]\n  1 -> 48 [size =\"31708160\"]\n  1 -> 50 [size =\"31708160\"]\n  2 [size=\"92979200\", alpha=\"0.09\", expect_size=\"37191680\"] \n  2 -> 34 [size =\"37191680\"]\n  2 -> 37 [size =\"37191680\"]\n  2 -> 38 [size =\"37191680\"]\n  2 -> 40 [size =\"37191680\"]\n  2 -> 41 [size =\"37191680\"]\n  2 -> 45 [size =\"37191680\"]\n  2 -> 48 [size =\"37191680\"]\n  2 -> 49 [size =\"37191680\"]\n  2 -> 50 [size =\"37191680\"]\n  3 [size=\"119365120\", alpha=\"0.11\", expect_size=\"47746048\"] \n  3 -> 34 [size =\"47746048\"]\n  3 -> 37 [size =\"47746048\"]\n  3 -> 38 [size =\"47746048\"]\n  3 -> 41 [size =\"47746048\"]\n  3 -> 42 [size =\"47746048\"]\n  3 -> 45 [size =\"47746048\"]\n  3 -> 48 [size =\"47746048\"]\n  3 -> 49 [size =\"47746048\"]\n  3 -> 50 [size =\"47746048\"]\n  4 [size=\"72302080\", alpha=\"0.16\", expect_size=\"28920832\"] \n  4 -> 38 [size =\"28920832\"]\n  4 -> 42 [size =\"28920832\"]\n  4 -> 45 [size =\"28920832\"]\n  4 -> 46 [size =\"28920832\"]\n  4 -> 50 [size =\"28920832\"]\n  5 [size=\"116416000\", alpha=\"0.20\", expect_size=\"46566400\"] \n  5 -> 34 [size =\"46566400\"]\n  5 -> 47 [size =\"46566400\"]\n  5 -> 50 [size =\"46566400\"]\n  6 [size=\"54533120\", alpha=\"0.08\", expect_size=\"21813248\"] \n  6 -> 34 [size =\"21813248\"]\n  6 -> 39 [size =\"21813248\"]\n  6 -> 42 [size =\"21813248\"]\n  6 -> 50 [size =\"21813248\"]\n  7 [size=\"111111680\", alpha=\"0.06\", expect_size=\"44444672\"] \n  7 -> 36 [size =\"44444672\"]\n  7 -> 37 [size =\"44444672\"]\n  7 -> 39 [size =\"44444672\"]\n  7 -> 42 [size =\"44444672\"]\n  7 -> 46 [size =\"44444672\"]\n  8 [size=\"107985920\", alpha=\"0.20\", expect_size=\"43194368\"] \n  8 -> 34 [size =\"43194368\"]\n  8 -> 35 [size =\"43194368\"]\n  8 -> 37 [size =\"43194368\"]\n  8 -> 39 [size =\"43194368\"]\n  8 -> 42 [size =\"43194368\"]\n  8 -> 44 [size =\"43194368\"]\n  8 -> 47 [size =\"43194368\"]\n  8 -> 50 [size =\"43194368\"]\n  9 [size=\"21688320\", alpha=\"0.19\", expect_size=\"8675328\"] \n  9 -> 34 [size =\"8675328\"]\n  9 -> 35 [size =\"8675328\"]\n  9 -> 37 [size =\"8675328\"]\n  9 -> 40 [size =\"8675328\"]\n  9 -> 41 [size =\"8675328\"]\n  9 -> 42 [size =\"8675328\"]\n  9 -> 44 [size =\"8675328\"]\n  9 -> 45 [size =\"8675328\"]\n  10 [size=\"29061120\", alpha=\"0.11\", expect_size=\"11624448\"] \n  10 -> 35 [size =\"11624448\"]\n  10 -> 38 [size =\"11624448\"]\n  10 -> 39 [size =\"11624448\"]\n  10 -> 41 [size =\"11624448\"]\n  10 -> 42 [size =\"11624448\"]\n  10 -> 42 [size =\"11624448\"]\n  10 -> 48 [size =\"11624448\"]\n  10 -> 50 [size =\"11624448\"]\n  11 [size=\"128238080\", alpha=\"0.02\", expect_size=\"51295232\"] \n  11 -> 34 [size =\"51295232\"]\n  11 -> 35 [size =\"51295232\"]\n  11 -> 41 [size =\"51295232\"]\n  11 -> 41 [size =\"51295232\"]\n  11 -> 42 [size =\"51295232\"]\n  11 -> 50 [size =\"51295232\"]\n  12 [size=\"16791040\", alpha=\"0.03\", expect_size=\"6716416\"] \n  12 -> 39 [size =\"6716416\"]\n  12 -> 40 [size =\"6716416\"]\n  12 -> 44 [size =\"6716416\"]\n  12 -> 45 [size =\"6716416\"]\n  12 -> 46 [size =\"6716416\"]\n  12 -> 48 [size =\"6716416\"]\n  12 -> 49 [size =\"6716416\"]\n  13 [size=\"67443200\", alpha=\"0.08\", expect_size=\"26977280\"] \n  13 -> 34 [size =\"26977280\"]\n  13 -> 35 [size =\"26977280\"]\n  13 -> 39 [size =\"26977280\"]\n  13 -> 40 [size =\"26977280\"]\n  13 -> 43 [size =\"26977280\"]\n  13 -> 44 [size =\"26977280\"]\n  13 -> 45 [size =\"26977280\"]\n  13 -> 48 [size =\"26977280\"]\n  13 -> 49 [size =\"26977280\"]\n  14 [size=\"130769920\", alpha=\"0.14\", expect_size=\"52307968\"] \n  14 -> 35 [size =\"52307968\"]\n  14 -> 37 [size =\"52307968\"]\n  14 -> 41 [size =\"52307968\"]\n  14 -> 44 [size =\"52307968\"]\n  14 -> 48 [size =\"52307968\"]\n  14 -> 49 [size =\"52307968\"]\n  15 [size=\"106301440\", alpha=\"0.09\", expect_size=\"42520576\"] \n  15 -> 38 [size =\"42520576\"]\n  15 -> 39 [size =\"42520576\"]\n  15 -> 44 [size =\"42520576\"]\n  15 -> 48 [size =\"42520576\"]\n  15 -> 49 [size =\"42520576\"]\n  15 -> 49 [size =\"42520576\"]\n  16 [size=\"104414720\", alpha=\"0.07\", expect_size=\"41765888\"] \n  16 -> 35 [size =\"41765888\"]\n  16 -> 42 [size =\"41765888\"]\n  16 -> 44 [size =\"41765888\"]\n  16 -> 45 [size =\"41765888\"]\n  16 -> 48 [size =\"41765888\"]\n  16 -> 49 [size =\"41765888\"]\n  17 [size=\"31252480\", alpha=\"0.11\", expect_size=\"12500992\"] \n  17 -> 35 [size =\"12500992\"]\n  17 -> 36 [size =\"12500992\"]\n  17 -> 40 [size =\"12500992\"]\n  17 -> 46 [size =\"12500992\"]\n  17 -> 47 [size =\"12500992\"]\n  17 -> 49 [size =\"12500992\"]\n  18 [size=\"65126400\", alpha=\"0.16\", expect_size=\"26050560\"] \n  18 -> 35 [size =\"26050560\"]\n  18 -> 38 [size =\"26050560\"]\n  18 -> 39 [size =\"26050560\"]\n  18 -> 42 [size =\"26050560\"]\n  18 -> 43 [size =\"26050560\"]\n  18 -> 50 [size =\"26050560\"]\n  19 [size=\"63805440\", alpha=\"0.20\", expect_size=\"25522176\"] \n  19 -> 39 [size =\"25522176\"]\n  19 -> 41 [size =\"25522176\"]\n  19 -> 42 [size =\"25522176\"]\n  19 -> 42 [size =\"25522176\"]\n  19 -> 44 [size =\"25522176\"]\n  20 [size=\"57999360\", alpha=\"0.02\", expect_size=\"23199744\"] \n  20 -> 35 [size =\"23199744\"]\n  20 -> 36 [size =\"23199744\"]\n  20 -> 39 [size =\"23199744\"]\n  20 -> 42 [size =\"23199744\"]\n  20 -> 45 [size =\"23199744\"]\n  21 [size=\"124495360\", alpha=\"0.16\", expect_size=\"49798144\"] \n  21 -> 39 [size =\"49798144\"]\n  21 -> 44 [size =\"49798144\"]\n  21 -> 45 [size =\"49798144\"]\n  21 -> 49 [size =\"49798144\"]\n  21 -> 50 [size =\"49798144\"]\n  22 [size=\"19527680\", alpha=\"0.03\", expect_size=\"7811072\"] \n  22 -> 35 [size =\"7811072\"]\n  22 -> 39 [size =\"7811072\"]\n  22 -> 42 [size =\"7811072\"]\n  22 -> 50 [size =\"7811072\"]\n  23 [size=\"34859520\", alpha=\"0.08\", expect_size=\"13943808\"] \n  23 -> 36 [size =\"13943808\"]\n  23 -> 39 [size =\"13943808\"]\n  23 -> 44 [size =\"13943808\"]\n  23 -> 45 [size =\"13943808\"]\n  23 -> 49 [size =\"13943808\"]\n  23 -> 50 [size =\"13943808\"]\n  24 [size=\"83143680\", alpha=\"0.03\", expect_size=\"33257472\"] \n  24 -> 35 [size =\"33257472\"]\n  24 -> 37 [size =\"33257472\"]\n  24 -> 39 [size =\"33257472\"]\n  24 -> 40 [size =\"33257472\"]\n  24 -> 41 [size =\"33257472\"]\n  24 -> 44 [size =\"33257472\"]\n  24 -> 49 [size =\"33257472\"]\n  24 -> 50 [size =\"33257472\"]\n  25 [size=\"47836160\", alpha=\"0.15\", expect_size=\"19134464\"] \n  25 -> 35 [size =\"19134464\"]\n  25 -> 40 [size =\"19134464\"]\n  25 -> 44 [size =\"19134464\"]\n  25 -> 46 [size =\"19134464\"]\n  25 -> 50 [size =\"19134464\"]\n  26 [size=\"100792320\", alpha=\"0.15\", expect_size=\"40316928\"] \n  26 -> 38 [size =\"40316928\"]\n  26 -> 40 [size =\"40316928\"]\n  26 -> 42 [size =\"40316928\"]\n  26 -> 44 [size =\"40316928\"]\n  26 -> 45 [size =\"40316928\"]\n  26 -> 48 [size =\"40316928\"]\n  26 -> 50 [size =\"40316928\"]\n  27 [size=\"23992320\", alpha=\"0.11\", expect_size=\"9596928\"] \n  27 -> 40 [size =\"9596928\"]\n  27 -> 44 [size =\"9596928\"]\n  27 -> 48 [size =\"9596928\"]\n  27 -> 50 [size =\"9596928\"]\n  28 [size=\"86538240\", alpha=\"0.03\", expect_size=\"34615296\"] \n  28 -> 39 [size =\"34615296\"]\n  28 -> 42 [size =\"34615296\"]\n  28 -> 44 [size =\"34615296\"]\n  28 -> 50 [size =\"34615296\"]\n  29 [size=\"60561920\", alpha=\"0.17\", expect_size=\"24224768\"] \n  29 -> 34 [size =\"24224768\"]\n  29 -> 36 [size =\"24224768\"]\n  29 -> 39 [size =\"24224768\"]\n  29 -> 40 [size =\"24224768\"]\n  29 -> 42 [size =\"24224768\"]\n  29 -> 43 [size =\"24224768\"]\n  29 -> 45 [size =\"24224768\"]\n  29 -> 48 [size =\"24224768\"]\n  29 -> 50 [size =\"24224768\"]\n  30 [size=\"59496960\", alpha=\"0.14\", expect_size=\"23798784\"] \n  30 -> 35 [size =\"23798784\"]\n  30 -> 40 [size =\"23798784\"]\n  30 -> 42 [size =\"23798784\"]\n  30 -> 48 [size =\"23798784\"]\n  30 -> 50 [size =\"23798784\"]\n  31 [size=\"71782400\", alpha=\"0.10\", expect_size=\"28712960\"] \n  31 -> 34 [size =\"28712960\"]\n  31 -> 38 [size =\"28712960\"]\n  31 -> 39 [size =\"28712960\"]\n  31 -> 40 [size =\"28712960\"]\n  31 -> 41 [size =\"28712960\"]\n  31 -> 42 [size =\"28712960\"]\n  31 -> 48 [size =\"28712960\"]\n  31 -> 50 [size =\"28712960\"]\n  32 [size=\"45616640\", alpha=\"0.06\", expect_size=\"18246656\"] \n  32 -> 41 [size =\"18246656\"]\n  32 -> 44 [size =\"18246656\"]\n  32 -> 48 [size =\"18246656\"]\n  32 -> 50 [size =\"18246656\"]\n  33 [size=\"60866560\", alpha=\"0.12\", expect_size=\"24346624\"] \n  33 -> 35 [size =\"24346624\"]\n  33 -> 36 [size =\"24346624\"]\n  33 -> 41 [size =\"24346624\"]\n  33 -> 45 [size =\"24346624\"]\n  33 -> 46 [size =\"24346624\"]\n  33 -> 48 [size =\"24346624\"]\n  33 -> 49 [size =\"24346624\"]\n  33 -> 50 [size =\"24346624\"]\n  34 [size=\"105830400\", alpha=\"0.18\", expect_size=\"42332160\"] \n  35 [size=\"121740800\", alpha=\"0.20\", expect_size=\"48696320\"] \n  36 [size=\"93941760\", alpha=\"0.17\", expect_size=\"37576704\"] \n  37 [size=\"63859200\", alpha=\"0.17\", expect_size=\"25543680\"] \n  38 [size=\"129502720\", alpha=\"0.06\", expect_size=\"51801088\"] \n  39 [size=\"31856640\", alpha=\"0.03\", expect_size=\"12742656\"] \n  40 [size=\"15431680\", alpha=\"0.08\", expect_size=\"6172672\"] \n  41 [size=\"96184320\", alpha=\"0.12\", expect_size=\"38473728\"] \n  42 [size=\"35353600\", alpha=\"0.18\", expect_size=\"14141440\"] \n  43 [size=\"72552960\", alpha=\"0.06\", expect_size=\"29021184\"] \n  44 [size=\"26191360\", alpha=\"0.07\", expect_size=\"10476544\"] \n  45 [size=\"13928960\", alpha=\"0.14\", expect_size=\"5571584\"] \n  46 [size=\"128965120\", alpha=\"0.15\", expect_size=\"51586048\"] \n  47 [size=\"108712960\", alpha=\"0.18\", expect_size=\"43485184\"] \n  48 [size=\"89285120\", alpha=\"0.14\", expect_size=\"35714048\"] \n  49 [size=\"122698240\", alpha=\"0.18\", expect_size=\"49079296\"] \n  50 [size=\"23728640\", alpha=\"0.10\", expect_size=\"9491456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.508.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86697984\", alpha=\"0.01\", expect_size=\"43348992\"] \n  2 [size=\"32245760\", alpha=\"0.00\", expect_size=\"16122880\"] \n  2 -> 3 [size =\"16122880\"]\n  2 -> 4 [size =\"16122880\"]\n  2 -> 5 [size =\"16122880\"]\n  3 [size=\"22638592\", alpha=\"0.06\", expect_size=\"11319296\"] \n  3 -> 6 [size =\"11319296\"]\n  4 [size=\"46106624\", alpha=\"0.19\", expect_size=\"23053312\"] \n  4 -> 6 [size =\"23053312\"]\n  4 -> 7 [size =\"23053312\"]\n  5 [size=\"62429184\", alpha=\"0.08\", expect_size=\"31214592\"] \n  6 [size=\"27217920\", alpha=\"0.18\", expect_size=\"13608960\"] \n  6 -> 10 [size =\"13608960\"]\n  7 [size=\"29247488\", alpha=\"0.20\", expect_size=\"14623744\"] \n  7 -> 8 [size =\"14623744\"]\n  7 -> 9 [size =\"14623744\"]\n  8 [size=\"13889536\", alpha=\"0.18\", expect_size=\"6944768\"] \n  8 -> 11 [size =\"6944768\"]\n  9 [size=\"96260096\", alpha=\"0.05\", expect_size=\"48130048\"] \n  9 -> 12 [size =\"48130048\"]\n  10 [size=\"86464512\", alpha=\"0.09\", expect_size=\"43232256\"] \n  10 -> 11 [size =\"43232256\"]\n  11 [size=\"38811648\", alpha=\"0.14\", expect_size=\"19405824\"] \n  11 -> 15 [size =\"19405824\"]\n  12 [size=\"45381632\", alpha=\"0.03\", expect_size=\"22690816\"] \n  12 -> 13 [size =\"22690816\"]\n  12 -> 14 [size =\"22690816\"]\n  13 [size=\"47220736\", alpha=\"0.06\", expect_size=\"23610368\"] \n  13 -> 16 [size =\"23610368\"]\n  14 [size=\"75055104\", alpha=\"0.16\", expect_size=\"37527552\"] \n  14 -> 16 [size =\"37527552\"]\n  14 -> 17 [size =\"37527552\"]\n  15 [size=\"71981056\", alpha=\"0.20\", expect_size=\"35990528\"] \n  15 -> 17 [size =\"35990528\"]\n  16 [size=\"15101952\", alpha=\"0.08\", expect_size=\"7550976\"] \n  16 -> 20 [size =\"7550976\"]\n  17 [size=\"102332416\", alpha=\"0.06\", expect_size=\"51166208\"] \n  17 -> 18 [size =\"51166208\"]\n  17 -> 19 [size =\"51166208\"]\n  18 [size=\"101294080\", alpha=\"0.06\", expect_size=\"50647040\"] \n  18 -> 22 [size =\"50647040\"]\n  19 [size=\"91437056\", alpha=\"0.10\", expect_size=\"45718528\"] \n  19 -> 21 [size =\"45718528\"]\n  20 [size=\"21133312\", alpha=\"0.09\", expect_size=\"10566656\"] \n  21 [size=\"65761280\", alpha=\"0.05\", expect_size=\"32880640\"] \n  21 -> 23 [size =\"32880640\"]\n  22 [size=\"35817472\", alpha=\"0.05\", expect_size=\"17908736\"] \n  22 -> 24 [size =\"17908736\"]\n  23 [size=\"49993728\", alpha=\"0.08\", expect_size=\"24996864\"] \n  23 -> 25 [size =\"24996864\"]\n  23 -> 26 [size =\"24996864\"]\n  24 [size=\"79241216\", alpha=\"0.18\", expect_size=\"39620608\"] \n  25 [size=\"60719104\", alpha=\"0.20\", expect_size=\"30359552\"] \n  25 -> 28 [size =\"30359552\"]\n  26 [size=\"59742208\", alpha=\"0.05\", expect_size=\"29871104\"] \n  26 -> 27 [size =\"29871104\"]\n  26 -> 29 [size =\"29871104\"]\n  27 [size=\"99751936\", alpha=\"0.14\", expect_size=\"49875968\"] \n  27 -> 30 [size =\"49875968\"]\n  28 [size=\"35098624\", alpha=\"0.03\", expect_size=\"17549312\"] \n  28 -> 31 [size =\"17549312\"]\n  29 [size=\"64323584\", alpha=\"0.11\", expect_size=\"32161792\"] \n  30 [size=\"15605760\", alpha=\"0.15\", expect_size=\"7802880\"] \n  30 -> 32 [size =\"7802880\"]\n  31 [size=\"58927104\", alpha=\"0.05\", expect_size=\"29463552\"] \n  31 -> 33 [size =\"29463552\"]\n  31 -> 34 [size =\"29463552\"]\n  32 [size=\"81750016\", alpha=\"0.02\", expect_size=\"40875008\"] \n  33 [size=\"11470848\", alpha=\"0.07\", expect_size=\"5735424\"] \n  33 -> 36 [size =\"5735424\"]\n  34 [size=\"48982016\", alpha=\"0.06\", expect_size=\"24491008\"] \n  34 -> 35 [size =\"24491008\"]\n  34 -> 37 [size =\"24491008\"]\n  35 [size=\"41166848\", alpha=\"0.18\", expect_size=\"20583424\"] \n  36 [size=\"39968768\", alpha=\"0.11\", expect_size=\"19984384\"] \n  36 -> 39 [size =\"19984384\"]\n  37 [size=\"62119936\", alpha=\"0.03\", expect_size=\"31059968\"] \n  37 -> 38 [size =\"31059968\"]\n  38 [size=\"32010240\", alpha=\"0.15\", expect_size=\"16005120\"] \n  38 -> 40 [size =\"16005120\"]\n  39 [size=\"47419392\", alpha=\"0.03\", expect_size=\"23709696\"] \n  39 -> 41 [size =\"23709696\"]\n  40 [size=\"99745792\", alpha=\"0.14\", expect_size=\"49872896\"] \n  40 -> 44 [size =\"49872896\"]\n  41 [size=\"76228608\", alpha=\"0.17\", expect_size=\"38114304\"] \n  41 -> 42 [size =\"38114304\"]\n  41 -> 43 [size =\"38114304\"]\n  42 [size=\"99567616\", alpha=\"0.05\", expect_size=\"49783808\"] \n  42 -> 46 [size =\"49783808\"]\n  42 -> 47 [size =\"49783808\"]\n  43 [size=\"15912960\", alpha=\"0.01\", expect_size=\"7956480\"] \n  44 [size=\"50745344\", alpha=\"0.12\", expect_size=\"25372672\"] \n  44 -> 45 [size =\"25372672\"]\n  44 -> 46 [size =\"25372672\"]\n  45 [size=\"79890432\", alpha=\"0.14\", expect_size=\"39945216\"] \n  45 -> 49 [size =\"39945216\"]\n  46 [size=\"70471680\", alpha=\"0.06\", expect_size=\"35235840\"] \n  46 -> 48 [size =\"35235840\"]\n  47 [size=\"27107328\", alpha=\"0.17\", expect_size=\"13553664\"] \n  48 [size=\"41646080\", alpha=\"0.13\", expect_size=\"20823040\"] \n  49 [size=\"16152576\", alpha=\"0.01\", expect_size=\"8076288\"] \n  49 -> 50 [size =\"8076288\"]\n  50 [size=\"31580160\", alpha=\"0.09\", expect_size=\"15790080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.509.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106828800\", alpha=\"0.19\", expect_size=\"42731520\"] \n  1 -> 17 [size =\"42731520\"]\n  1 -> 19 [size =\"42731520\"]\n  1 -> 23 [size =\"42731520\"]\n  1 -> 25 [size =\"42731520\"]\n  2 [size=\"26449920\", alpha=\"0.02\", expect_size=\"10579968\"] \n  2 -> 20 [size =\"10579968\"]\n  2 -> 21 [size =\"10579968\"]\n  2 -> 23 [size =\"10579968\"]\n  2 -> 27 [size =\"10579968\"]\n  3 [size=\"22425600\", alpha=\"0.08\", expect_size=\"8970240\"] \n  3 -> 14 [size =\"8970240\"]\n  3 -> 18 [size =\"8970240\"]\n  3 -> 20 [size =\"8970240\"]\n  3 -> 21 [size =\"8970240\"]\n  3 -> 25 [size =\"8970240\"]\n  4 [size=\"13670400\", alpha=\"0.12\", expect_size=\"5468160\"] \n  4 -> 19 [size =\"5468160\"]\n  4 -> 21 [size =\"5468160\"]\n  4 -> 26 [size =\"5468160\"]\n  5 [size=\"38645760\", alpha=\"0.14\", expect_size=\"15458304\"] \n  5 -> 15 [size =\"15458304\"]\n  5 -> 17 [size =\"15458304\"]\n  6 [size=\"76147200\", alpha=\"0.18\", expect_size=\"30458880\"] \n  6 -> 15 [size =\"30458880\"]\n  6 -> 16 [size =\"30458880\"]\n  6 -> 17 [size =\"30458880\"]\n  6 -> 18 [size =\"30458880\"]\n  6 -> 20 [size =\"30458880\"]\n  6 -> 23 [size =\"30458880\"]\n  6 -> 25 [size =\"30458880\"]\n  7 [size=\"84723200\", alpha=\"0.14\", expect_size=\"33889280\"] \n  7 -> 14 [size =\"33889280\"]\n  7 -> 17 [size =\"33889280\"]\n  7 -> 18 [size =\"33889280\"]\n  7 -> 22 [size =\"33889280\"]\n  7 -> 27 [size =\"33889280\"]\n  8 [size=\"121213440\", alpha=\"0.10\", expect_size=\"48485376\"] \n  8 -> 14 [size =\"48485376\"]\n  8 -> 18 [size =\"48485376\"]\n  8 -> 22 [size =\"48485376\"]\n  8 -> 23 [size =\"48485376\"]\n  8 -> 24 [size =\"48485376\"]\n  8 -> 25 [size =\"48485376\"]\n  9 [size=\"111411200\", alpha=\"0.02\", expect_size=\"44564480\"] \n  9 -> 14 [size =\"44564480\"]\n  9 -> 17 [size =\"44564480\"]\n  9 -> 20 [size =\"44564480\"]\n  9 -> 23 [size =\"44564480\"]\n  9 -> 25 [size =\"44564480\"]\n  10 [size=\"117171200\", alpha=\"0.17\", expect_size=\"46868480\"] \n  10 -> 15 [size =\"46868480\"]\n  10 -> 16 [size =\"46868480\"]\n  10 -> 17 [size =\"46868480\"]\n  10 -> 18 [size =\"46868480\"]\n  10 -> 21 [size =\"46868480\"]\n  10 -> 23 [size =\"46868480\"]\n  10 -> 24 [size =\"46868480\"]\n  10 -> 25 [size =\"46868480\"]\n  11 [size=\"38110720\", alpha=\"0.09\", expect_size=\"15244288\"] \n  11 -> 15 [size =\"15244288\"]\n  11 -> 21 [size =\"15244288\"]\n  12 [size=\"34263040\", alpha=\"0.11\", expect_size=\"13705216\"] \n  12 -> 17 [size =\"13705216\"]\n  12 -> 23 [size =\"13705216\"]\n  12 -> 25 [size =\"13705216\"]\n  13 [size=\"48686080\", alpha=\"0.04\", expect_size=\"19474432\"] \n  13 -> 17 [size =\"19474432\"]\n  13 -> 18 [size =\"19474432\"]\n  13 -> 23 [size =\"19474432\"]\n  13 -> 25 [size =\"19474432\"]\n  14 [size=\"96089600\", alpha=\"0.01\", expect_size=\"38435840\"] \n  14 -> 29 [size =\"38435840\"]\n  14 -> 31 [size =\"38435840\"]\n  14 -> 32 [size =\"38435840\"]\n  14 -> 33 [size =\"38435840\"]\n  14 -> 35 [size =\"38435840\"]\n  14 -> 38 [size =\"38435840\"]\n  15 [size=\"48089600\", alpha=\"0.10\", expect_size=\"19235840\"] \n  15 -> 29 [size =\"19235840\"]\n  15 -> 32 [size =\"19235840\"]\n  15 -> 33 [size =\"19235840\"]\n  15 -> 37 [size =\"19235840\"]\n  15 -> 38 [size =\"19235840\"]\n  15 -> 38 [size =\"19235840\"]\n  15 -> 42 [size =\"19235840\"]\n  16 [size=\"128404480\", alpha=\"0.12\", expect_size=\"51361792\"] \n  16 -> 33 [size =\"51361792\"]\n  16 -> 42 [size =\"51361792\"]\n  17 [size=\"117534720\", alpha=\"0.08\", expect_size=\"47013888\"] \n  17 -> 30 [size =\"47013888\"]\n  17 -> 35 [size =\"47013888\"]\n  17 -> 37 [size =\"47013888\"]\n  17 -> 39 [size =\"47013888\"]\n  18 [size=\"79761920\", alpha=\"0.17\", expect_size=\"31904768\"] \n  18 -> 28 [size =\"31904768\"]\n  18 -> 29 [size =\"31904768\"]\n  18 -> 38 [size =\"31904768\"]\n  18 -> 40 [size =\"31904768\"]\n  19 [size=\"21670400\", alpha=\"0.05\", expect_size=\"8668160\"] \n  19 -> 34 [size =\"8668160\"]\n  19 -> 36 [size =\"8668160\"]\n  19 -> 40 [size =\"8668160\"]\n  20 [size=\"32819200\", alpha=\"0.03\", expect_size=\"13127680\"] \n  20 -> 29 [size =\"13127680\"]\n  20 -> 31 [size =\"13127680\"]\n  20 -> 33 [size =\"13127680\"]\n  20 -> 34 [size =\"13127680\"]\n  20 -> 35 [size =\"13127680\"]\n  20 -> 36 [size =\"13127680\"]\n  20 -> 37 [size =\"13127680\"]\n  21 [size=\"17408000\", alpha=\"0.17\", expect_size=\"6963200\"] \n  21 -> 29 [size =\"6963200\"]\n  21 -> 32 [size =\"6963200\"]\n  21 -> 34 [size =\"6963200\"]\n  21 -> 35 [size =\"6963200\"]\n  21 -> 36 [size =\"6963200\"]\n  21 -> 36 [size =\"6963200\"]\n  21 -> 37 [size =\"6963200\"]\n  21 -> 38 [size =\"6963200\"]\n  21 -> 39 [size =\"6963200\"]\n  21 -> 40 [size =\"6963200\"]\n  21 -> 41 [size =\"6963200\"]\n  22 [size=\"68577280\", alpha=\"0.13\", expect_size=\"27430912\"] \n  22 -> 32 [size =\"27430912\"]\n  22 -> 33 [size =\"27430912\"]\n  22 -> 35 [size =\"27430912\"]\n  22 -> 36 [size =\"27430912\"]\n  22 -> 36 [size =\"27430912\"]\n  22 -> 38 [size =\"27430912\"]\n  23 [size=\"16826880\", alpha=\"0.11\", expect_size=\"6730752\"] \n  23 -> 29 [size =\"6730752\"]\n  23 -> 31 [size =\"6730752\"]\n  23 -> 36 [size =\"6730752\"]\n  24 [size=\"42360320\", alpha=\"0.09\", expect_size=\"16944128\"] \n  24 -> 31 [size =\"16944128\"]\n  24 -> 32 [size =\"16944128\"]\n  24 -> 37 [size =\"16944128\"]\n  24 -> 40 [size =\"16944128\"]\n  25 [size=\"50078720\", alpha=\"0.11\", expect_size=\"20031488\"] \n  25 -> 31 [size =\"20031488\"]\n  25 -> 32 [size =\"20031488\"]\n  25 -> 33 [size =\"20031488\"]\n  25 -> 35 [size =\"20031488\"]\n  25 -> 37 [size =\"20031488\"]\n  25 -> 38 [size =\"20031488\"]\n  25 -> 40 [size =\"20031488\"]\n  25 -> 41 [size =\"20031488\"]\n  26 [size=\"106908160\", alpha=\"0.04\", expect_size=\"42763264\"] \n  26 -> 28 [size =\"42763264\"]\n  26 -> 31 [size =\"42763264\"]\n  26 -> 32 [size =\"42763264\"]\n  26 -> 33 [size =\"42763264\"]\n  26 -> 41 [size =\"42763264\"]\n  27 [size=\"61081600\", alpha=\"0.09\", expect_size=\"24432640\"] \n  27 -> 30 [size =\"24432640\"]\n  27 -> 32 [size =\"24432640\"]\n  27 -> 33 [size =\"24432640\"]\n  27 -> 33 [size =\"24432640\"]\n  27 -> 40 [size =\"24432640\"]\n  28 [size=\"109629440\", alpha=\"0.12\", expect_size=\"43851776\"] \n  28 -> 49 [size =\"43851776\"]\n  29 [size=\"90350080\", alpha=\"0.12\", expect_size=\"36140032\"] \n  29 -> 49 [size =\"36140032\"]\n  30 [size=\"118978560\", alpha=\"0.10\", expect_size=\"47591424\"] \n  30 -> 46 [size =\"47591424\"]\n  30 -> 49 [size =\"47591424\"]\n  31 [size=\"18055680\", alpha=\"0.12\", expect_size=\"7222272\"] \n  31 -> 49 [size =\"7222272\"]\n  32 [size=\"117235200\", alpha=\"0.17\", expect_size=\"46894080\"] \n  32 -> 44 [size =\"46894080\"]\n  32 -> 47 [size =\"46894080\"]\n  32 -> 49 [size =\"46894080\"]\n  32 -> 50 [size =\"46894080\"]\n  33 [size=\"75970560\", alpha=\"0.09\", expect_size=\"30388224\"] \n  33 -> 44 [size =\"30388224\"]\n  33 -> 48 [size =\"30388224\"]\n  34 [size=\"21539840\", alpha=\"0.14\", expect_size=\"8615936\"] \n  34 -> 44 [size =\"8615936\"]\n  34 -> 47 [size =\"8615936\"]\n  34 -> 48 [size =\"8615936\"]\n  35 [size=\"72478720\", alpha=\"0.06\", expect_size=\"28991488\"] \n  35 -> 48 [size =\"28991488\"]\n  35 -> 49 [size =\"28991488\"]\n  36 [size=\"18391040\", alpha=\"0.17\", expect_size=\"7356416\"] \n  36 -> 45 [size =\"7356416\"]\n  36 -> 48 [size =\"7356416\"]\n  37 [size=\"40286720\", alpha=\"0.06\", expect_size=\"16114688\"] \n  37 -> 44 [size =\"16114688\"]\n  37 -> 47 [size =\"16114688\"]\n  37 -> 48 [size =\"16114688\"]\n  38 [size=\"91814400\", alpha=\"0.06\", expect_size=\"36725760\"] \n  38 -> 47 [size =\"36725760\"]\n  38 -> 48 [size =\"36725760\"]\n  39 [size=\"45153280\", alpha=\"0.07\", expect_size=\"18061312\"] \n  39 -> 47 [size =\"18061312\"]\n  39 -> 48 [size =\"18061312\"]\n  40 [size=\"116577280\", alpha=\"0.12\", expect_size=\"46630912\"] \n  40 -> 47 [size =\"46630912\"]\n  40 -> 48 [size =\"46630912\"]\n  40 -> 49 [size =\"46630912\"]\n  41 [size=\"56253440\", alpha=\"0.18\", expect_size=\"22501376\"] \n  41 -> 43 [size =\"22501376\"]\n  41 -> 47 [size =\"22501376\"]\n  41 -> 49 [size =\"22501376\"]\n  42 [size=\"125117440\", alpha=\"0.13\", expect_size=\"50046976\"] \n  42 -> 44 [size =\"50046976\"]\n  42 -> 48 [size =\"50046976\"]\n  42 -> 49 [size =\"50046976\"]\n  42 -> 50 [size =\"50046976\"]\n  43 [size=\"108395520\", alpha=\"0.08\", expect_size=\"43358208\"] \n  44 [size=\"41669120\", alpha=\"0.09\", expect_size=\"16667648\"] \n  45 [size=\"125888000\", alpha=\"0.16\", expect_size=\"50355200\"] \n  46 [size=\"42142720\", alpha=\"0.19\", expect_size=\"16857088\"] \n  47 [size=\"23695360\", alpha=\"0.09\", expect_size=\"9478144\"] \n  48 [size=\"57011200\", alpha=\"0.17\", expect_size=\"22804480\"] \n  49 [size=\"90780160\", alpha=\"0.17\", expect_size=\"36312064\"] \n  50 [size=\"15600640\", alpha=\"0.15\", expect_size=\"6240256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107758080\", alpha=\"0.04\", expect_size=\"43103232\"] \n  1 -> 2 [size =\"43103232\"]\n  2 [size=\"24645120\", alpha=\"0.16\", expect_size=\"9858048\"] \n  2 -> 3 [size =\"9858048\"]\n  3 [size=\"109368320\", alpha=\"0.19\", expect_size=\"43747328\"] \n  3 -> 4 [size =\"43747328\"]\n  4 [size=\"127444480\", alpha=\"0.15\", expect_size=\"50977792\"] \n  4 -> 5 [size =\"50977792\"]\n  5 [size=\"22735360\", alpha=\"0.09\", expect_size=\"9094144\"] \n  5 -> 6 [size =\"9094144\"]\n  6 [size=\"52989440\", alpha=\"0.11\", expect_size=\"21195776\"] \n  6 -> 7 [size =\"21195776\"]\n  7 [size=\"18280960\", alpha=\"0.15\", expect_size=\"7312384\"] \n  7 -> 8 [size =\"7312384\"]\n  8 [size=\"77332480\", alpha=\"0.14\", expect_size=\"30932992\"] \n  8 -> 9 [size =\"30932992\"]\n  9 [size=\"104872960\", alpha=\"0.06\", expect_size=\"41949184\"] \n  9 -> 10 [size =\"41949184\"]\n  10 [size=\"107448320\", alpha=\"0.19\", expect_size=\"42979328\"] \n  10 -> 11 [size =\"42979328\"]\n  11 [size=\"111088640\", alpha=\"0.11\", expect_size=\"44435456\"] \n  11 -> 12 [size =\"44435456\"]\n  12 [size=\"18168320\", alpha=\"0.12\", expect_size=\"7267328\"] \n  12 -> 13 [size =\"7267328\"]\n  13 [size=\"113666560\", alpha=\"0.03\", expect_size=\"45466624\"] \n  13 -> 14 [size =\"45466624\"]\n  14 [size=\"109862400\", alpha=\"0.15\", expect_size=\"43944960\"] \n  14 -> 15 [size =\"43944960\"]\n  15 [size=\"78881280\", alpha=\"0.15\", expect_size=\"31552512\"] \n  15 -> 16 [size =\"31552512\"]\n  16 [size=\"13137920\", alpha=\"0.10\", expect_size=\"5255168\"] \n  16 -> 17 [size =\"5255168\"]\n  17 [size=\"75952640\", alpha=\"0.06\", expect_size=\"30381056\"] \n  17 -> 18 [size =\"30381056\"]\n  18 [size=\"46740480\", alpha=\"0.02\", expect_size=\"18696192\"] \n  18 -> 19 [size =\"18696192\"]\n  19 [size=\"14164480\", alpha=\"0.13\", expect_size=\"5665792\"] \n  19 -> 20 [size =\"5665792\"]\n  20 [size=\"51325440\", alpha=\"0.16\", expect_size=\"20530176\"] \n  20 -> 21 [size =\"20530176\"]\n  21 [size=\"48069120\", alpha=\"0.16\", expect_size=\"19227648\"] \n  21 -> 22 [size =\"19227648\"]\n  22 [size=\"110602240\", alpha=\"0.17\", expect_size=\"44240896\"] \n  22 -> 23 [size =\"44240896\"]\n  23 [size=\"66007040\", alpha=\"0.15\", expect_size=\"26402816\"] \n  23 -> 24 [size =\"26402816\"]\n  24 [size=\"82877440\", alpha=\"0.12\", expect_size=\"33150976\"] \n  24 -> 25 [size =\"33150976\"]\n  25 [size=\"53580800\", alpha=\"0.11\", expect_size=\"21432320\"] \n  25 -> 26 [size =\"21432320\"]\n  26 [size=\"24122880\", alpha=\"0.17\", expect_size=\"9649152\"] \n  26 -> 27 [size =\"9649152\"]\n  27 [size=\"85811200\", alpha=\"0.03\", expect_size=\"34324480\"] \n  27 -> 28 [size =\"34324480\"]\n  28 [size=\"119777280\", alpha=\"0.01\", expect_size=\"47910912\"] \n  28 -> 29 [size =\"47910912\"]\n  29 [size=\"16289280\", alpha=\"0.13\", expect_size=\"6515712\"] \n  29 -> 30 [size =\"6515712\"]\n  30 [size=\"92628480\", alpha=\"0.02\", expect_size=\"37051392\"] \n  30 -> 31 [size =\"37051392\"]\n  31 [size=\"71488000\", alpha=\"0.08\", expect_size=\"28595200\"] \n  31 -> 32 [size =\"28595200\"]\n  32 [size=\"47523840\", alpha=\"0.14\", expect_size=\"19009536\"] \n  32 -> 33 [size =\"19009536\"]\n  33 [size=\"32271360\", alpha=\"0.18\", expect_size=\"12908544\"] \n  33 -> 34 [size =\"12908544\"]\n  34 [size=\"121994240\", alpha=\"0.18\", expect_size=\"48797696\"] \n  34 -> 35 [size =\"48797696\"]\n  35 [size=\"77137920\", alpha=\"0.08\", expect_size=\"30855168\"] \n  35 -> 36 [size =\"30855168\"]\n  36 [size=\"25297920\", alpha=\"0.19\", expect_size=\"10119168\"] \n  36 -> 37 [size =\"10119168\"]\n  37 [size=\"124316160\", alpha=\"0.01\", expect_size=\"49726464\"] \n  37 -> 38 [size =\"49726464\"]\n  38 [size=\"25479680\", alpha=\"0.08\", expect_size=\"10191872\"] \n  38 -> 39 [size =\"10191872\"]\n  39 [size=\"28943360\", alpha=\"0.16\", expect_size=\"11577344\"] \n  39 -> 40 [size =\"11577344\"]\n  40 [size=\"108505600\", alpha=\"0.10\", expect_size=\"43402240\"] \n  40 -> 41 [size =\"43402240\"]\n  41 [size=\"122585600\", alpha=\"0.10\", expect_size=\"49034240\"] \n  41 -> 42 [size =\"49034240\"]\n  42 [size=\"51194880\", alpha=\"0.06\", expect_size=\"20477952\"] \n  42 -> 43 [size =\"20477952\"]\n  43 [size=\"17367040\", alpha=\"0.12\", expect_size=\"6946816\"] \n  43 -> 44 [size =\"6946816\"]\n  44 [size=\"121658880\", alpha=\"0.09\", expect_size=\"48663552\"] \n  44 -> 45 [size =\"48663552\"]\n  45 [size=\"106931200\", alpha=\"0.13\", expect_size=\"42772480\"] \n  45 -> 46 [size =\"42772480\"]\n  46 [size=\"38965760\", alpha=\"0.19\", expect_size=\"15586304\"] \n  46 -> 47 [size =\"15586304\"]\n  47 [size=\"35752960\", alpha=\"0.17\", expect_size=\"14301184\"] \n  47 -> 48 [size =\"14301184\"]\n  48 [size=\"42176000\", alpha=\"0.14\", expect_size=\"16870400\"] \n  48 -> 49 [size =\"16870400\"]\n  49 [size=\"91870720\", alpha=\"0.11\", expect_size=\"36748288\"] \n  49 -> 50 [size =\"36748288\"]\n  50 [size=\"67932160\", alpha=\"0.01\", expect_size=\"27172864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.510.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113126400\", alpha=\"0.02\", expect_size=\"45250560\"] \n  1 -> 9 [size =\"45250560\"]\n  1 -> 14 [size =\"45250560\"]\n  2 [size=\"48560640\", alpha=\"0.04\", expect_size=\"19424256\"] \n  2 -> 10 [size =\"19424256\"]\n  2 -> 11 [size =\"19424256\"]\n  2 -> 12 [size =\"19424256\"]\n  2 -> 14 [size =\"19424256\"]\n  3 [size=\"108958720\", alpha=\"0.19\", expect_size=\"43583488\"] \n  3 -> 7 [size =\"43583488\"]\n  3 -> 11 [size =\"43583488\"]\n  3 -> 12 [size =\"43583488\"]\n  3 -> 13 [size =\"43583488\"]\n  4 [size=\"68510720\", alpha=\"0.04\", expect_size=\"27404288\"] \n  4 -> 8 [size =\"27404288\"]\n  4 -> 11 [size =\"27404288\"]\n  4 -> 12 [size =\"27404288\"]\n  4 -> 13 [size =\"27404288\"]\n  5 [size=\"120972800\", alpha=\"0.18\", expect_size=\"48389120\"] \n  5 -> 9 [size =\"48389120\"]\n  5 -> 11 [size =\"48389120\"]\n  5 -> 12 [size =\"48389120\"]\n  5 -> 14 [size =\"48389120\"]\n  6 [size=\"104919040\", alpha=\"0.07\", expect_size=\"41967616\"] \n  6 -> 10 [size =\"41967616\"]\n  6 -> 11 [size =\"41967616\"]\n  6 -> 13 [size =\"41967616\"]\n  6 -> 14 [size =\"41967616\"]\n  7 [size=\"102315520\", alpha=\"0.14\", expect_size=\"40926208\"] \n  7 -> 19 [size =\"40926208\"]\n  7 -> 20 [size =\"40926208\"]\n  8 [size=\"89971200\", alpha=\"0.04\", expect_size=\"35988480\"] \n  8 -> 16 [size =\"35988480\"]\n  8 -> 18 [size =\"35988480\"]\n  9 [size=\"48156160\", alpha=\"0.16\", expect_size=\"19262464\"] \n  9 -> 16 [size =\"19262464\"]\n  9 -> 20 [size =\"19262464\"]\n  10 [size=\"51422720\", alpha=\"0.14\", expect_size=\"20569088\"] \n  10 -> 15 [size =\"20569088\"]\n  11 [size=\"26624000\", alpha=\"0.03\", expect_size=\"10649600\"] \n  11 -> 19 [size =\"10649600\"]\n  12 [size=\"39936000\", alpha=\"0.03\", expect_size=\"15974400\"] \n  12 -> 19 [size =\"15974400\"]\n  12 -> 20 [size =\"15974400\"]\n  13 [size=\"64381440\", alpha=\"0.12\", expect_size=\"25752576\"] \n  13 -> 17 [size =\"25752576\"]\n  13 -> 19 [size =\"25752576\"]\n  13 -> 20 [size =\"25752576\"]\n  14 [size=\"57021440\", alpha=\"0.11\", expect_size=\"22808576\"] \n  14 -> 16 [size =\"22808576\"]\n  14 -> 17 [size =\"22808576\"]\n  15 [size=\"77749760\", alpha=\"0.13\", expect_size=\"31099904\"] \n  15 -> 21 [size =\"31099904\"]\n  15 -> 22 [size =\"31099904\"]\n  15 -> 25 [size =\"31099904\"]\n  15 -> 26 [size =\"31099904\"]\n  15 -> 27 [size =\"31099904\"]\n  16 [size=\"67320320\", alpha=\"0.15\", expect_size=\"26928128\"] \n  16 -> 22 [size =\"26928128\"]\n  16 -> 27 [size =\"26928128\"]\n  17 [size=\"105786880\", alpha=\"0.11\", expect_size=\"42314752\"] \n  17 -> 21 [size =\"42314752\"]\n  17 -> 22 [size =\"42314752\"]\n  17 -> 24 [size =\"42314752\"]\n  17 -> 25 [size =\"42314752\"]\n  17 -> 27 [size =\"42314752\"]\n  18 [size=\"69806080\", alpha=\"0.12\", expect_size=\"27922432\"] \n  18 -> 21 [size =\"27922432\"]\n  18 -> 22 [size =\"27922432\"]\n  18 -> 23 [size =\"27922432\"]\n  19 [size=\"90598400\", alpha=\"0.03\", expect_size=\"36239360\"] \n  19 -> 23 [size =\"36239360\"]\n  19 -> 26 [size =\"36239360\"]\n  20 [size=\"65282560\", alpha=\"0.03\", expect_size=\"26113024\"] \n  20 -> 22 [size =\"26113024\"]\n  20 -> 23 [size =\"26113024\"]\n  20 -> 25 [size =\"26113024\"]\n  20 -> 26 [size =\"26113024\"]\n  21 [size=\"29383680\", alpha=\"0.19\", expect_size=\"11753472\"] \n  21 -> 30 [size =\"11753472\"]\n  22 [size=\"47713280\", alpha=\"0.02\", expect_size=\"19085312\"] \n  22 -> 28 [size =\"19085312\"]\n  22 -> 29 [size =\"19085312\"]\n  22 -> 30 [size =\"19085312\"]\n  23 [size=\"66723840\", alpha=\"0.01\", expect_size=\"26689536\"] \n  23 -> 29 [size =\"26689536\"]\n  24 [size=\"18526720\", alpha=\"0.09\", expect_size=\"7410688\"] \n  24 -> 28 [size =\"7410688\"]\n  25 [size=\"82670080\", alpha=\"0.16\", expect_size=\"33068032\"] \n  25 -> 30 [size =\"33068032\"]\n  26 [size=\"43407360\", alpha=\"0.18\", expect_size=\"17362944\"] \n  26 -> 28 [size =\"17362944\"]\n  26 -> 29 [size =\"17362944\"]\n  27 [size=\"15544320\", alpha=\"0.16\", expect_size=\"6217728\"] \n  27 -> 28 [size =\"6217728\"]\n  27 -> 30 [size =\"6217728\"]\n  28 [size=\"80604160\", alpha=\"0.06\", expect_size=\"32241664\"] \n  28 -> 31 [size =\"32241664\"]\n  28 -> 32 [size =\"32241664\"]\n  28 -> 35 [size =\"32241664\"]\n  28 -> 36 [size =\"32241664\"]\n  29 [size=\"34337280\", alpha=\"0.02\", expect_size=\"13734912\"] \n  29 -> 31 [size =\"13734912\"]\n  29 -> 33 [size =\"13734912\"]\n  29 -> 35 [size =\"13734912\"]\n  29 -> 36 [size =\"13734912\"]\n  30 [size=\"51868160\", alpha=\"0.05\", expect_size=\"20747264\"] \n  30 -> 33 [size =\"20747264\"]\n  30 -> 34 [size =\"20747264\"]\n  30 -> 35 [size =\"20747264\"]\n  31 [size=\"67904000\", alpha=\"0.10\", expect_size=\"27161600\"] \n  31 -> 37 [size =\"27161600\"]\n  31 -> 38 [size =\"27161600\"]\n  31 -> 44 [size =\"27161600\"]\n  32 [size=\"64499200\", alpha=\"0.20\", expect_size=\"25799680\"] \n  32 -> 38 [size =\"25799680\"]\n  32 -> 38 [size =\"25799680\"]\n  32 -> 39 [size =\"25799680\"]\n  32 -> 42 [size =\"25799680\"]\n  32 -> 44 [size =\"25799680\"]\n  32 -> 45 [size =\"25799680\"]\n  33 [size=\"77109760\", alpha=\"0.18\", expect_size=\"30843904\"] \n  33 -> 38 [size =\"30843904\"]\n  33 -> 39 [size =\"30843904\"]\n  33 -> 42 [size =\"30843904\"]\n  33 -> 44 [size =\"30843904\"]\n  34 [size=\"83619840\", alpha=\"0.04\", expect_size=\"33447936\"] \n  34 -> 37 [size =\"33447936\"]\n  34 -> 40 [size =\"33447936\"]\n  34 -> 42 [size =\"33447936\"]\n  34 -> 43 [size =\"33447936\"]\n  34 -> 45 [size =\"33447936\"]\n  35 [size=\"21473280\", alpha=\"0.01\", expect_size=\"8589312\"] \n  35 -> 37 [size =\"8589312\"]\n  35 -> 39 [size =\"8589312\"]\n  35 -> 40 [size =\"8589312\"]\n  35 -> 41 [size =\"8589312\"]\n  35 -> 43 [size =\"8589312\"]\n  36 [size=\"116500480\", alpha=\"0.07\", expect_size=\"46600192\"] \n  36 -> 37 [size =\"46600192\"]\n  36 -> 38 [size =\"46600192\"]\n  36 -> 40 [size =\"46600192\"]\n  36 -> 43 [size =\"46600192\"]\n  36 -> 44 [size =\"46600192\"]\n  37 [size=\"106621440\", alpha=\"0.08\", expect_size=\"42648576\"] \n  37 -> 46 [size =\"42648576\"]\n  37 -> 47 [size =\"42648576\"]\n  37 -> 50 [size =\"42648576\"]\n  38 [size=\"81044480\", alpha=\"0.20\", expect_size=\"32417792\"] \n  39 [size=\"116636160\", alpha=\"0.04\", expect_size=\"46654464\"] \n  39 -> 48 [size =\"46654464\"]\n  40 [size=\"130483200\", alpha=\"0.17\", expect_size=\"52193280\"] \n  40 -> 47 [size =\"52193280\"]\n  40 -> 48 [size =\"52193280\"]\n  41 [size=\"42933760\", alpha=\"0.13\", expect_size=\"17173504\"] \n  41 -> 46 [size =\"17173504\"]\n  41 -> 47 [size =\"17173504\"]\n  41 -> 49 [size =\"17173504\"]\n  42 [size=\"103439360\", alpha=\"0.15\", expect_size=\"41375744\"] \n  42 -> 47 [size =\"41375744\"]\n  43 [size=\"102899200\", alpha=\"0.06\", expect_size=\"41159680\"] \n  43 -> 49 [size =\"41159680\"]\n  44 [size=\"92590080\", alpha=\"0.18\", expect_size=\"37036032\"] \n  44 -> 46 [size =\"37036032\"]\n  44 -> 48 [size =\"37036032\"]\n  44 -> 49 [size =\"37036032\"]\n  45 [size=\"116426240\", alpha=\"0.02\", expect_size=\"46570496\"] \n  45 -> 46 [size =\"46570496\"]\n  46 [size=\"121085440\", alpha=\"0.11\", expect_size=\"48434176\"] \n  47 [size=\"42821120\", alpha=\"0.20\", expect_size=\"17128448\"] \n  48 [size=\"92275200\", alpha=\"0.00\", expect_size=\"36910080\"] \n  49 [size=\"90216960\", alpha=\"0.05\", expect_size=\"36086784\"] \n  50 [size=\"114145280\", alpha=\"0.16\", expect_size=\"45658112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.511.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80704853\", alpha=\"0.13\", expect_size=\"24211456\"] \n  1 -> 17 [size =\"24211456\"]\n  1 -> 18 [size =\"24211456\"]\n  1 -> 20 [size =\"24211456\"]\n  1 -> 21 [size =\"24211456\"]\n  1 -> 25 [size =\"24211456\"]\n  1 -> 29 [size =\"24211456\"]\n  1 -> 30 [size =\"24211456\"]\n  2 [size=\"78363307\", alpha=\"0.13\", expect_size=\"23508992\"] \n  2 -> 17 [size =\"23508992\"]\n  2 -> 20 [size =\"23508992\"]\n  2 -> 21 [size =\"23508992\"]\n  2 -> 25 [size =\"23508992\"]\n  2 -> 26 [size =\"23508992\"]\n  2 -> 28 [size =\"23508992\"]\n  2 -> 29 [size =\"23508992\"]\n  3 [size=\"39540053\", alpha=\"0.06\", expect_size=\"11862016\"] \n  3 -> 17 [size =\"11862016\"]\n  3 -> 27 [size =\"11862016\"]\n  4 [size=\"67911680\", alpha=\"0.07\", expect_size=\"20373504\"] \n  4 -> 17 [size =\"20373504\"]\n  4 -> 18 [size =\"20373504\"]\n  4 -> 25 [size =\"20373504\"]\n  4 -> 27 [size =\"20373504\"]\n  4 -> 30 [size =\"20373504\"]\n  5 [size=\"66597547\", alpha=\"0.07\", expect_size=\"19979264\"] \n  5 -> 17 [size =\"19979264\"]\n  5 -> 19 [size =\"19979264\"]\n  5 -> 20 [size =\"19979264\"]\n  5 -> 21 [size =\"19979264\"]\n  5 -> 23 [size =\"19979264\"]\n  5 -> 25 [size =\"19979264\"]\n  5 -> 27 [size =\"19979264\"]\n  5 -> 30 [size =\"19979264\"]\n  6 [size=\"19490133\", alpha=\"0.05\", expect_size=\"5847040\"] \n  6 -> 17 [size =\"5847040\"]\n  6 -> 18 [size =\"5847040\"]\n  6 -> 20 [size =\"5847040\"]\n  6 -> 21 [size =\"5847040\"]\n  6 -> 22 [size =\"5847040\"]\n  6 -> 26 [size =\"5847040\"]\n  6 -> 27 [size =\"5847040\"]\n  6 -> 29 [size =\"5847040\"]\n  6 -> 30 [size =\"5847040\"]\n  7 [size=\"148462933\", alpha=\"0.01\", expect_size=\"44538880\"] \n  7 -> 17 [size =\"44538880\"]\n  7 -> 20 [size =\"44538880\"]\n  7 -> 21 [size =\"44538880\"]\n  7 -> 23 [size =\"44538880\"]\n  7 -> 25 [size =\"44538880\"]\n  7 -> 26 [size =\"44538880\"]\n  7 -> 27 [size =\"44538880\"]\n  7 -> 28 [size =\"44538880\"]\n  7 -> 29 [size =\"44538880\"]\n  7 -> 30 [size =\"44538880\"]\n  8 [size=\"65102507\", alpha=\"0.04\", expect_size=\"19530752\"] \n  8 -> 17 [size =\"19530752\"]\n  8 -> 23 [size =\"19530752\"]\n  8 -> 25 [size =\"19530752\"]\n  8 -> 27 [size =\"19530752\"]\n  8 -> 29 [size =\"19530752\"]\n  9 [size=\"80568320\", alpha=\"0.06\", expect_size=\"24170496\"] \n  9 -> 23 [size =\"24170496\"]\n  9 -> 28 [size =\"24170496\"]\n  10 [size=\"112257707\", alpha=\"0.08\", expect_size=\"33677312\"] \n  10 -> 17 [size =\"33677312\"]\n  10 -> 18 [size =\"33677312\"]\n  10 -> 23 [size =\"33677312\"]\n  10 -> 26 [size =\"33677312\"]\n  10 -> 28 [size =\"33677312\"]\n  11 [size=\"152111787\", alpha=\"0.16\", expect_size=\"45633536\"] \n  11 -> 17 [size =\"45633536\"]\n  11 -> 18 [size =\"45633536\"]\n  11 -> 19 [size =\"45633536\"]\n  11 -> 21 [size =\"45633536\"]\n  11 -> 23 [size =\"45633536\"]\n  11 -> 26 [size =\"45633536\"]\n  12 [size=\"95044267\", alpha=\"0.05\", expect_size=\"28513280\"] \n  12 -> 18 [size =\"28513280\"]\n  12 -> 23 [size =\"28513280\"]\n  12 -> 29 [size =\"28513280\"]\n  12 -> 30 [size =\"28513280\"]\n  13 [size=\"37611520\", alpha=\"0.08\", expect_size=\"11283456\"] \n  13 -> 16 [size =\"11283456\"]\n  13 -> 18 [size =\"11283456\"]\n  13 -> 20 [size =\"11283456\"]\n  13 -> 23 [size =\"11283456\"]\n  13 -> 24 [size =\"11283456\"]\n  13 -> 28 [size =\"11283456\"]\n  13 -> 29 [size =\"11283456\"]\n  13 -> 30 [size =\"11283456\"]\n  14 [size=\"87214080\", alpha=\"0.04\", expect_size=\"26164224\"] \n  14 -> 15 [size =\"26164224\"]\n  14 -> 18 [size =\"26164224\"]\n  14 -> 23 [size =\"26164224\"]\n  14 -> 30 [size =\"26164224\"]\n  15 [size=\"143517013\", alpha=\"0.14\", expect_size=\"43055104\"] \n  15 -> 32 [size =\"43055104\"]\n  15 -> 35 [size =\"43055104\"]\n  15 -> 36 [size =\"43055104\"]\n  15 -> 37 [size =\"43055104\"]\n  15 -> 42 [size =\"43055104\"]\n  16 [size=\"41140907\", alpha=\"0.16\", expect_size=\"12342272\"] \n  16 -> 31 [size =\"12342272\"]\n  16 -> 37 [size =\"12342272\"]\n  16 -> 39 [size =\"12342272\"]\n  16 -> 42 [size =\"12342272\"]\n  17 [size=\"79595520\", alpha=\"0.07\", expect_size=\"23878656\"] \n  17 -> 35 [size =\"23878656\"]\n  17 -> 36 [size =\"23878656\"]\n  17 -> 37 [size =\"23878656\"]\n  17 -> 38 [size =\"23878656\"]\n  17 -> 39 [size =\"23878656\"]\n  17 -> 42 [size =\"23878656\"]\n  17 -> 43 [size =\"23878656\"]\n  18 [size=\"90804907\", alpha=\"0.01\", expect_size=\"27241472\"] \n  18 -> 32 [size =\"27241472\"]\n  18 -> 33 [size =\"27241472\"]\n  18 -> 36 [size =\"27241472\"]\n  18 -> 37 [size =\"27241472\"]\n  18 -> 38 [size =\"27241472\"]\n  18 -> 40 [size =\"27241472\"]\n  18 -> 42 [size =\"27241472\"]\n  18 -> 43 [size =\"27241472\"]\n  19 [size=\"121879893\", alpha=\"0.17\", expect_size=\"36563968\"] \n  19 -> 34 [size =\"36563968\"]\n  19 -> 37 [size =\"36563968\"]\n  19 -> 42 [size =\"36563968\"]\n  20 [size=\"170850987\", alpha=\"0.13\", expect_size=\"51255296\"] \n  20 -> 36 [size =\"51255296\"]\n  20 -> 37 [size =\"51255296\"]\n  20 -> 39 [size =\"51255296\"]\n  20 -> 42 [size =\"51255296\"]\n  21 [size=\"77458773\", alpha=\"0.16\", expect_size=\"23237632\"] \n  21 -> 31 [size =\"23237632\"]\n  21 -> 36 [size =\"23237632\"]\n  21 -> 37 [size =\"23237632\"]\n  21 -> 40 [size =\"23237632\"]\n  21 -> 43 [size =\"23237632\"]\n  22 [size=\"46086827\", alpha=\"0.08\", expect_size=\"13826048\"] \n  22 -> 33 [size =\"13826048\"]\n  22 -> 34 [size =\"13826048\"]\n  22 -> 36 [size =\"13826048\"]\n  22 -> 39 [size =\"13826048\"]\n  22 -> 42 [size =\"13826048\"]\n  22 -> 43 [size =\"13826048\"]\n  23 [size=\"88074240\", alpha=\"0.02\", expect_size=\"26422272\"] \n  23 -> 32 [size =\"26422272\"]\n  23 -> 33 [size =\"26422272\"]\n  23 -> 34 [size =\"26422272\"]\n  23 -> 37 [size =\"26422272\"]\n  23 -> 39 [size =\"26422272\"]\n  23 -> 40 [size =\"26422272\"]\n  23 -> 42 [size =\"26422272\"]\n  23 -> 43 [size =\"26422272\"]\n  24 [size=\"151063893\", alpha=\"0.03\", expect_size=\"45319168\"] \n  24 -> 32 [size =\"45319168\"]\n  24 -> 33 [size =\"45319168\"]\n  24 -> 35 [size =\"45319168\"]\n  24 -> 36 [size =\"45319168\"]\n  24 -> 37 [size =\"45319168\"]\n  24 -> 39 [size =\"45319168\"]\n  24 -> 41 [size =\"45319168\"]\n  25 [size=\"26395307\", alpha=\"0.10\", expect_size=\"7918592\"] \n  25 -> 31 [size =\"7918592\"]\n  25 -> 33 [size =\"7918592\"]\n  25 -> 35 [size =\"7918592\"]\n  25 -> 36 [size =\"7918592\"]\n  25 -> 37 [size =\"7918592\"]\n  25 -> 38 [size =\"7918592\"]\n  25 -> 42 [size =\"7918592\"]\n  26 [size=\"139499520\", alpha=\"0.17\", expect_size=\"41849856\"] \n  26 -> 31 [size =\"41849856\"]\n  26 -> 33 [size =\"41849856\"]\n  26 -> 36 [size =\"41849856\"]\n  26 -> 39 [size =\"41849856\"]\n  27 [size=\"107175253\", alpha=\"0.01\", expect_size=\"32152576\"] \n  27 -> 33 [size =\"32152576\"]\n  27 -> 34 [size =\"32152576\"]\n  27 -> 36 [size =\"32152576\"]\n  27 -> 38 [size =\"32152576\"]\n  27 -> 40 [size =\"32152576\"]\n  28 [size=\"159808853\", alpha=\"0.11\", expect_size=\"47942656\"] \n  28 -> 33 [size =\"47942656\"]\n  28 -> 37 [size =\"47942656\"]\n  28 -> 38 [size =\"47942656\"]\n  28 -> 39 [size =\"47942656\"]\n  29 [size=\"165133653\", alpha=\"0.08\", expect_size=\"49540096\"] \n  29 -> 31 [size =\"49540096\"]\n  29 -> 33 [size =\"49540096\"]\n  29 -> 35 [size =\"49540096\"]\n  29 -> 39 [size =\"49540096\"]\n  29 -> 41 [size =\"49540096\"]\n  29 -> 42 [size =\"49540096\"]\n  30 [size=\"140151467\", alpha=\"0.18\", expect_size=\"42045440\"] \n  30 -> 31 [size =\"42045440\"]\n  30 -> 33 [size =\"42045440\"]\n  30 -> 42 [size =\"42045440\"]\n  31 [size=\"81247573\", alpha=\"0.06\", expect_size=\"24374272\"] \n  31 -> 45 [size =\"24374272\"]\n  31 -> 50 [size =\"24374272\"]\n  32 [size=\"51653973\", alpha=\"0.03\", expect_size=\"15496192\"] \n  32 -> 44 [size =\"15496192\"]\n  32 -> 45 [size =\"15496192\"]\n  32 -> 47 [size =\"15496192\"]\n  33 [size=\"112257707\", alpha=\"0.02\", expect_size=\"33677312\"] \n  33 -> 44 [size =\"33677312\"]\n  33 -> 47 [size =\"33677312\"]\n  34 [size=\"127836160\", alpha=\"0.10\", expect_size=\"38350848\"] \n  34 -> 47 [size =\"38350848\"]\n  35 [size=\"148824747\", alpha=\"0.15\", expect_size=\"44647424\"] \n  35 -> 44 [size =\"44647424\"]\n  35 -> 48 [size =\"44647424\"]\n  35 -> 50 [size =\"44647424\"]\n  36 [size=\"67065173\", alpha=\"0.02\", expect_size=\"20119552\"] \n  36 -> 45 [size =\"20119552\"]\n  36 -> 46 [size =\"20119552\"]\n  37 [size=\"41854293\", alpha=\"0.18\", expect_size=\"12556288\"] \n  37 -> 46 [size =\"12556288\"]\n  37 -> 48 [size =\"12556288\"]\n  37 -> 50 [size =\"12556288\"]\n  38 [size=\"46892373\", alpha=\"0.02\", expect_size=\"14067712\"] \n  38 -> 45 [size =\"14067712\"]\n  38 -> 47 [size =\"14067712\"]\n  38 -> 50 [size =\"14067712\"]\n  39 [size=\"129812480\", alpha=\"0.00\", expect_size=\"38943744\"] \n  39 -> 45 [size =\"38943744\"]\n  39 -> 47 [size =\"38943744\"]\n  39 -> 50 [size =\"38943744\"]\n  40 [size=\"39130453\", alpha=\"0.18\", expect_size=\"11739136\"] \n  40 -> 46 [size =\"11739136\"]\n  40 -> 48 [size =\"11739136\"]\n  40 -> 49 [size =\"11739136\"]\n  40 -> 50 [size =\"11739136\"]\n  41 [size=\"26914133\", alpha=\"0.03\", expect_size=\"8074240\"] \n  41 -> 44 [size =\"8074240\"]\n  41 -> 45 [size =\"8074240\"]\n  41 -> 46 [size =\"8074240\"]\n  41 -> 48 [size =\"8074240\"]\n  41 -> 50 [size =\"8074240\"]\n  42 [size=\"70516053\", alpha=\"0.11\", expect_size=\"21154816\"] \n  42 -> 45 [size =\"21154816\"]\n  42 -> 46 [size =\"21154816\"]\n  42 -> 48 [size =\"21154816\"]\n  42 -> 48 [size =\"21154816\"]\n  42 -> 50 [size =\"21154816\"]\n  43 [size=\"90217813\", alpha=\"0.09\", expect_size=\"27065344\"] \n  43 -> 44 [size =\"27065344\"]\n  43 -> 46 [size =\"27065344\"]\n  43 -> 48 [size =\"27065344\"]\n  43 -> 50 [size =\"27065344\"]\n  44 [size=\"106154667\", alpha=\"0.04\", expect_size=\"31846400\"] \n  45 [size=\"30784853\", alpha=\"0.19\", expect_size=\"9235456\"] \n  46 [size=\"147428693\", alpha=\"0.11\", expect_size=\"44228608\"] \n  47 [size=\"165188267\", alpha=\"0.13\", expect_size=\"49556480\"] \n  48 [size=\"146179413\", alpha=\"0.14\", expect_size=\"43853824\"] \n  49 [size=\"163730773\", alpha=\"0.14\", expect_size=\"49119232\"] \n  50 [size=\"164966400\", alpha=\"0.09\", expect_size=\"49489920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.512.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93736960\", alpha=\"0.16\", expect_size=\"37494784\"] \n  1 -> 2 [size =\"37494784\"]\n  2 [size=\"17338880\", alpha=\"0.00\", expect_size=\"6935552\"] \n  2 -> 3 [size =\"6935552\"]\n  3 [size=\"100623360\", alpha=\"0.04\", expect_size=\"40249344\"] \n  3 -> 4 [size =\"40249344\"]\n  4 [size=\"85491200\", alpha=\"0.12\", expect_size=\"34196480\"] \n  4 -> 5 [size =\"34196480\"]\n  5 [size=\"128709120\", alpha=\"0.02\", expect_size=\"51483648\"] \n  5 -> 6 [size =\"51483648\"]\n  6 [size=\"36902400\", alpha=\"0.12\", expect_size=\"14760960\"] \n  6 -> 7 [size =\"14760960\"]\n  7 [size=\"115417600\", alpha=\"0.12\", expect_size=\"46167040\"] \n  7 -> 8 [size =\"46167040\"]\n  8 [size=\"83036160\", alpha=\"0.11\", expect_size=\"33214464\"] \n  8 -> 9 [size =\"33214464\"]\n  9 [size=\"29867520\", alpha=\"0.05\", expect_size=\"11947008\"] \n  9 -> 10 [size =\"11947008\"]\n  10 [size=\"54333440\", alpha=\"0.15\", expect_size=\"21733376\"] \n  10 -> 11 [size =\"21733376\"]\n  11 [size=\"116259840\", alpha=\"0.15\", expect_size=\"46503936\"] \n  11 -> 12 [size =\"46503936\"]\n  12 [size=\"91870720\", alpha=\"0.12\", expect_size=\"36748288\"] \n  12 -> 13 [size =\"36748288\"]\n  13 [size=\"93685760\", alpha=\"0.05\", expect_size=\"37474304\"] \n  13 -> 14 [size =\"37474304\"]\n  14 [size=\"116526080\", alpha=\"0.15\", expect_size=\"46610432\"] \n  14 -> 15 [size =\"46610432\"]\n  15 [size=\"67970560\", alpha=\"0.13\", expect_size=\"27188224\"] \n  15 -> 16 [size =\"27188224\"]\n  16 [size=\"78740480\", alpha=\"0.12\", expect_size=\"31496192\"] \n  16 -> 17 [size =\"31496192\"]\n  17 [size=\"30696960\", alpha=\"0.18\", expect_size=\"12278784\"] \n  17 -> 18 [size =\"12278784\"]\n  18 [size=\"100075520\", alpha=\"0.04\", expect_size=\"40030208\"] \n  18 -> 19 [size =\"40030208\"]\n  19 [size=\"44252160\", alpha=\"0.04\", expect_size=\"17700864\"] \n  19 -> 20 [size =\"17700864\"]\n  20 [size=\"71482880\", alpha=\"0.10\", expect_size=\"28593152\"] \n  20 -> 21 [size =\"28593152\"]\n  21 [size=\"44190720\", alpha=\"0.10\", expect_size=\"17676288\"] \n  21 -> 22 [size =\"17676288\"]\n  22 [size=\"14072320\", alpha=\"0.11\", expect_size=\"5628928\"] \n  22 -> 23 [size =\"5628928\"]\n  23 [size=\"86981120\", alpha=\"0.07\", expect_size=\"34792448\"] \n  23 -> 24 [size =\"34792448\"]\n  24 [size=\"115496960\", alpha=\"0.15\", expect_size=\"46198784\"] \n  24 -> 25 [size =\"46198784\"]\n  25 [size=\"85409280\", alpha=\"0.02\", expect_size=\"34163712\"] \n  25 -> 26 [size =\"34163712\"]\n  26 [size=\"46632960\", alpha=\"0.14\", expect_size=\"18653184\"] \n  26 -> 27 [size =\"18653184\"]\n  27 [size=\"116736000\", alpha=\"0.03\", expect_size=\"46694400\"] \n  27 -> 28 [size =\"46694400\"]\n  28 [size=\"102341120\", alpha=\"0.04\", expect_size=\"40936448\"] \n  28 -> 29 [size =\"40936448\"]\n  29 [size=\"127385600\", alpha=\"0.07\", expect_size=\"50954240\"] \n  29 -> 30 [size =\"50954240\"]\n  30 [size=\"30620160\", alpha=\"0.18\", expect_size=\"12248064\"] \n  30 -> 31 [size =\"12248064\"]\n  31 [size=\"90088960\", alpha=\"0.06\", expect_size=\"36035584\"] \n  31 -> 32 [size =\"36035584\"]\n  32 [size=\"32527360\", alpha=\"0.08\", expect_size=\"13010944\"] \n  32 -> 33 [size =\"13010944\"]\n  33 [size=\"98099200\", alpha=\"0.03\", expect_size=\"39239680\"] \n  33 -> 34 [size =\"39239680\"]\n  34 [size=\"20428800\", alpha=\"0.16\", expect_size=\"8171520\"] \n  34 -> 35 [size =\"8171520\"]\n  35 [size=\"107829760\", alpha=\"0.18\", expect_size=\"43131904\"] \n  35 -> 36 [size =\"43131904\"]\n  36 [size=\"122012160\", alpha=\"0.11\", expect_size=\"48804864\"] \n  36 -> 37 [size =\"48804864\"]\n  37 [size=\"86771200\", alpha=\"0.07\", expect_size=\"34708480\"] \n  37 -> 38 [size =\"34708480\"]\n  38 [size=\"104417280\", alpha=\"0.18\", expect_size=\"41766912\"] \n  38 -> 39 [size =\"41766912\"]\n  39 [size=\"126919680\", alpha=\"0.14\", expect_size=\"50767872\"] \n  39 -> 40 [size =\"50767872\"]\n  40 [size=\"53071360\", alpha=\"0.20\", expect_size=\"21228544\"] \n  40 -> 41 [size =\"21228544\"]\n  41 [size=\"42065920\", alpha=\"0.11\", expect_size=\"16826368\"] \n  41 -> 42 [size =\"16826368\"]\n  42 [size=\"79096320\", alpha=\"0.03\", expect_size=\"31638528\"] \n  42 -> 43 [size =\"31638528\"]\n  43 [size=\"124956160\", alpha=\"0.07\", expect_size=\"49982464\"] \n  43 -> 44 [size =\"49982464\"]\n  44 [size=\"24302080\", alpha=\"0.08\", expect_size=\"9720832\"] \n  44 -> 45 [size =\"9720832\"]\n  45 [size=\"116482560\", alpha=\"0.02\", expect_size=\"46593024\"] \n  45 -> 46 [size =\"46593024\"]\n  46 [size=\"102466560\", alpha=\"0.01\", expect_size=\"40986624\"] \n  46 -> 47 [size =\"40986624\"]\n  47 [size=\"47892480\", alpha=\"0.18\", expect_size=\"19156992\"] \n  47 -> 48 [size =\"19156992\"]\n  48 [size=\"88312320\", alpha=\"0.10\", expect_size=\"35324928\"] \n  48 -> 49 [size =\"35324928\"]\n  49 [size=\"74764800\", alpha=\"0.01\", expect_size=\"29905920\"] \n  49 -> 50 [size =\"29905920\"]\n  50 [size=\"38400000\", alpha=\"0.15\", expect_size=\"15360000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.513.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40032256\", alpha=\"0.13\", expect_size=\"20016128\"] \n  1 -> 17 [size =\"20016128\"]\n  1 -> 19 [size =\"20016128\"]\n  1 -> 20 [size =\"20016128\"]\n  1 -> 24 [size =\"20016128\"]\n  1 -> 26 [size =\"20016128\"]\n  1 -> 27 [size =\"20016128\"]\n  1 -> 28 [size =\"20016128\"]\n  1 -> 29 [size =\"20016128\"]\n  1 -> 30 [size =\"20016128\"]\n  1 -> 35 [size =\"20016128\"]\n  2 [size=\"59934720\", alpha=\"0.08\", expect_size=\"29967360\"] \n  2 -> 17 [size =\"29967360\"]\n  2 -> 18 [size =\"29967360\"]\n  2 -> 19 [size =\"29967360\"]\n  2 -> 23 [size =\"29967360\"]\n  2 -> 27 [size =\"29967360\"]\n  2 -> 27 [size =\"29967360\"]\n  2 -> 28 [size =\"29967360\"]\n  2 -> 29 [size =\"29967360\"]\n  2 -> 30 [size =\"29967360\"]\n  2 -> 35 [size =\"29967360\"]\n  3 [size=\"39809024\", alpha=\"0.09\", expect_size=\"19904512\"] \n  3 -> 17 [size =\"19904512\"]\n  3 -> 18 [size =\"19904512\"]\n  3 -> 22 [size =\"19904512\"]\n  3 -> 23 [size =\"19904512\"]\n  3 -> 24 [size =\"19904512\"]\n  3 -> 27 [size =\"19904512\"]\n  3 -> 28 [size =\"19904512\"]\n  3 -> 29 [size =\"19904512\"]\n  3 -> 30 [size =\"19904512\"]\n  3 -> 35 [size =\"19904512\"]\n  4 [size=\"12765184\", alpha=\"0.15\", expect_size=\"6382592\"] \n  4 -> 17 [size =\"6382592\"]\n  4 -> 21 [size =\"6382592\"]\n  4 -> 24 [size =\"6382592\"]\n  4 -> 26 [size =\"6382592\"]\n  4 -> 27 [size =\"6382592\"]\n  4 -> 28 [size =\"6382592\"]\n  4 -> 28 [size =\"6382592\"]\n  4 -> 31 [size =\"6382592\"]\n  4 -> 34 [size =\"6382592\"]\n  4 -> 35 [size =\"6382592\"]\n  5 [size=\"13619200\", alpha=\"0.02\", expect_size=\"6809600\"] \n  5 -> 23 [size =\"6809600\"]\n  5 -> 24 [size =\"6809600\"]\n  5 -> 24 [size =\"6809600\"]\n  5 -> 28 [size =\"6809600\"]\n  5 -> 29 [size =\"6809600\"]\n  5 -> 31 [size =\"6809600\"]\n  5 -> 33 [size =\"6809600\"]\n  5 -> 35 [size =\"6809600\"]\n  6 [size=\"47587328\", alpha=\"0.03\", expect_size=\"23793664\"] \n  6 -> 17 [size =\"23793664\"]\n  6 -> 25 [size =\"23793664\"]\n  6 -> 26 [size =\"23793664\"]\n  6 -> 28 [size =\"23793664\"]\n  6 -> 29 [size =\"23793664\"]\n  6 -> 30 [size =\"23793664\"]\n  6 -> 31 [size =\"23793664\"]\n  6 -> 32 [size =\"23793664\"]\n  6 -> 34 [size =\"23793664\"]\n  6 -> 35 [size =\"23793664\"]\n  7 [size=\"27160576\", alpha=\"0.00\", expect_size=\"13580288\"] \n  7 -> 19 [size =\"13580288\"]\n  7 -> 23 [size =\"13580288\"]\n  7 -> 26 [size =\"13580288\"]\n  7 -> 28 [size =\"13580288\"]\n  7 -> 29 [size =\"13580288\"]\n  7 -> 30 [size =\"13580288\"]\n  7 -> 31 [size =\"13580288\"]\n  7 -> 33 [size =\"13580288\"]\n  7 -> 35 [size =\"13580288\"]\n  7 -> 35 [size =\"13580288\"]\n  8 [size=\"48840704\", alpha=\"0.08\", expect_size=\"24420352\"] \n  8 -> 17 [size =\"24420352\"]\n  8 -> 18 [size =\"24420352\"]\n  8 -> 19 [size =\"24420352\"]\n  8 -> 23 [size =\"24420352\"]\n  8 -> 24 [size =\"24420352\"]\n  8 -> 25 [size =\"24420352\"]\n  8 -> 26 [size =\"24420352\"]\n  8 -> 27 [size =\"24420352\"]\n  8 -> 29 [size =\"24420352\"]\n  8 -> 30 [size =\"24420352\"]\n  8 -> 31 [size =\"24420352\"]\n  8 -> 32 [size =\"24420352\"]\n  9 [size=\"82198528\", alpha=\"0.06\", expect_size=\"41099264\"] \n  9 -> 19 [size =\"41099264\"]\n  9 -> 24 [size =\"41099264\"]\n  9 -> 27 [size =\"41099264\"]\n  9 -> 28 [size =\"41099264\"]\n  9 -> 29 [size =\"41099264\"]\n  9 -> 30 [size =\"41099264\"]\n  9 -> 31 [size =\"41099264\"]\n  9 -> 34 [size =\"41099264\"]\n  9 -> 35 [size =\"41099264\"]\n  10 [size=\"32913408\", alpha=\"0.02\", expect_size=\"16456704\"] \n  10 -> 18 [size =\"16456704\"]\n  10 -> 20 [size =\"16456704\"]\n  10 -> 21 [size =\"16456704\"]\n  10 -> 22 [size =\"16456704\"]\n  10 -> 24 [size =\"16456704\"]\n  10 -> 27 [size =\"16456704\"]\n  10 -> 29 [size =\"16456704\"]\n  10 -> 30 [size =\"16456704\"]\n  10 -> 31 [size =\"16456704\"]\n  10 -> 32 [size =\"16456704\"]\n  10 -> 35 [size =\"16456704\"]\n  11 [size=\"81569792\", alpha=\"0.19\", expect_size=\"40784896\"] \n  11 -> 19 [size =\"40784896\"]\n  11 -> 20 [size =\"40784896\"]\n  11 -> 21 [size =\"40784896\"]\n  11 -> 27 [size =\"40784896\"]\n  11 -> 29 [size =\"40784896\"]\n  11 -> 30 [size =\"40784896\"]\n  11 -> 31 [size =\"40784896\"]\n  11 -> 33 [size =\"40784896\"]\n  11 -> 34 [size =\"40784896\"]\n  11 -> 35 [size =\"40784896\"]\n  12 [size=\"49514496\", alpha=\"0.04\", expect_size=\"24757248\"] \n  12 -> 19 [size =\"24757248\"]\n  12 -> 21 [size =\"24757248\"]\n  12 -> 24 [size =\"24757248\"]\n  12 -> 27 [size =\"24757248\"]\n  12 -> 28 [size =\"24757248\"]\n  12 -> 29 [size =\"24757248\"]\n  12 -> 30 [size =\"24757248\"]\n  12 -> 31 [size =\"24757248\"]\n  12 -> 33 [size =\"24757248\"]\n  12 -> 34 [size =\"24757248\"]\n  13 [size=\"88174592\", alpha=\"0.09\", expect_size=\"44087296\"] \n  13 -> 18 [size =\"44087296\"]\n  13 -> 21 [size =\"44087296\"]\n  13 -> 24 [size =\"44087296\"]\n  13 -> 25 [size =\"44087296\"]\n  13 -> 27 [size =\"44087296\"]\n  13 -> 29 [size =\"44087296\"]\n  13 -> 30 [size =\"44087296\"]\n  13 -> 31 [size =\"44087296\"]\n  13 -> 34 [size =\"44087296\"]\n  13 -> 35 [size =\"44087296\"]\n  14 [size=\"34191360\", alpha=\"0.13\", expect_size=\"17095680\"] \n  14 -> 18 [size =\"17095680\"]\n  14 -> 19 [size =\"17095680\"]\n  14 -> 21 [size =\"17095680\"]\n  14 -> 24 [size =\"17095680\"]\n  14 -> 25 [size =\"17095680\"]\n  14 -> 26 [size =\"17095680\"]\n  14 -> 27 [size =\"17095680\"]\n  14 -> 29 [size =\"17095680\"]\n  14 -> 30 [size =\"17095680\"]\n  14 -> 31 [size =\"17095680\"]\n  14 -> 33 [size =\"17095680\"]\n  14 -> 34 [size =\"17095680\"]\n  14 -> 35 [size =\"17095680\"]\n  15 [size=\"103917568\", alpha=\"0.09\", expect_size=\"51958784\"] \n  15 -> 19 [size =\"51958784\"]\n  15 -> 21 [size =\"51958784\"]\n  15 -> 23 [size =\"51958784\"]\n  15 -> 24 [size =\"51958784\"]\n  15 -> 26 [size =\"51958784\"]\n  15 -> 27 [size =\"51958784\"]\n  15 -> 27 [size =\"51958784\"]\n  15 -> 29 [size =\"51958784\"]\n  15 -> 30 [size =\"51958784\"]\n  15 -> 31 [size =\"51958784\"]\n  15 -> 34 [size =\"51958784\"]\n  15 -> 35 [size =\"51958784\"]\n  16 [size=\"21319680\", alpha=\"0.15\", expect_size=\"10659840\"] \n  16 -> 17 [size =\"10659840\"]\n  16 -> 22 [size =\"10659840\"]\n  16 -> 24 [size =\"10659840\"]\n  16 -> 24 [size =\"10659840\"]\n  16 -> 25 [size =\"10659840\"]\n  16 -> 27 [size =\"10659840\"]\n  16 -> 28 [size =\"10659840\"]\n  16 -> 29 [size =\"10659840\"]\n  16 -> 30 [size =\"10659840\"]\n  16 -> 31 [size =\"10659840\"]\n  16 -> 34 [size =\"10659840\"]\n  16 -> 35 [size =\"10659840\"]\n  17 [size=\"35753984\", alpha=\"0.14\", expect_size=\"17876992\"] \n  17 -> 36 [size =\"17876992\"]\n  17 -> 37 [size =\"17876992\"]\n  17 -> 38 [size =\"17876992\"]\n  17 -> 41 [size =\"17876992\"]\n  17 -> 47 [size =\"17876992\"]\n  17 -> 50 [size =\"17876992\"]\n  17 -> 50 [size =\"17876992\"]\n  18 [size=\"36450304\", alpha=\"0.16\", expect_size=\"18225152\"] \n  18 -> 37 [size =\"18225152\"]\n  18 -> 37 [size =\"18225152\"]\n  18 -> 39 [size =\"18225152\"]\n  18 -> 40 [size =\"18225152\"]\n  18 -> 41 [size =\"18225152\"]\n  18 -> 43 [size =\"18225152\"]\n  18 -> 47 [size =\"18225152\"]\n  18 -> 49 [size =\"18225152\"]\n  19 [size=\"71856128\", alpha=\"0.09\", expect_size=\"35928064\"] \n  19 -> 36 [size =\"35928064\"]\n  19 -> 37 [size =\"35928064\"]\n  19 -> 38 [size =\"35928064\"]\n  19 -> 41 [size =\"35928064\"]\n  19 -> 41 [size =\"35928064\"]\n  19 -> 42 [size =\"35928064\"]\n  19 -> 44 [size =\"35928064\"]\n  19 -> 50 [size =\"35928064\"]\n  20 [size=\"101599232\", alpha=\"0.13\", expect_size=\"50799616\"] \n  20 -> 38 [size =\"50799616\"]\n  20 -> 39 [size =\"50799616\"]\n  20 -> 40 [size =\"50799616\"]\n  20 -> 41 [size =\"50799616\"]\n  20 -> 43 [size =\"50799616\"]\n  20 -> 45 [size =\"50799616\"]\n  20 -> 46 [size =\"50799616\"]\n  20 -> 47 [size =\"50799616\"]\n  20 -> 48 [size =\"50799616\"]\n  20 -> 50 [size =\"50799616\"]\n  21 [size=\"16281600\", alpha=\"0.03\", expect_size=\"8140800\"] \n  21 -> 37 [size =\"8140800\"]\n  21 -> 38 [size =\"8140800\"]\n  21 -> 40 [size =\"8140800\"]\n  21 -> 44 [size =\"8140800\"]\n  21 -> 46 [size =\"8140800\"]\n  21 -> 47 [size =\"8140800\"]\n  21 -> 48 [size =\"8140800\"]\n  21 -> 49 [size =\"8140800\"]\n  21 -> 50 [size =\"8140800\"]\n  22 [size=\"13363200\", alpha=\"0.04\", expect_size=\"6681600\"] \n  22 -> 37 [size =\"6681600\"]\n  22 -> 38 [size =\"6681600\"]\n  22 -> 40 [size =\"6681600\"]\n  22 -> 42 [size =\"6681600\"]\n  22 -> 47 [size =\"6681600\"]\n  22 -> 47 [size =\"6681600\"]\n  22 -> 48 [size =\"6681600\"]\n  23 [size=\"33656832\", alpha=\"0.11\", expect_size=\"16828416\"] \n  23 -> 36 [size =\"16828416\"]\n  23 -> 37 [size =\"16828416\"]\n  23 -> 38 [size =\"16828416\"]\n  23 -> 40 [size =\"16828416\"]\n  23 -> 44 [size =\"16828416\"]\n  23 -> 46 [size =\"16828416\"]\n  23 -> 47 [size =\"16828416\"]\n  24 [size=\"74180608\", alpha=\"0.19\", expect_size=\"37090304\"] \n  24 -> 37 [size =\"37090304\"]\n  24 -> 38 [size =\"37090304\"]\n  24 -> 38 [size =\"37090304\"]\n  24 -> 40 [size =\"37090304\"]\n  24 -> 41 [size =\"37090304\"]\n  24 -> 42 [size =\"37090304\"]\n  24 -> 43 [size =\"37090304\"]\n  24 -> 44 [size =\"37090304\"]\n  24 -> 46 [size =\"37090304\"]\n  24 -> 47 [size =\"37090304\"]\n  24 -> 48 [size =\"37090304\"]\n  25 [size=\"42305536\", alpha=\"0.07\", expect_size=\"21152768\"] \n  25 -> 37 [size =\"21152768\"]\n  25 -> 38 [size =\"21152768\"]\n  25 -> 40 [size =\"21152768\"]\n  25 -> 41 [size =\"21152768\"]\n  25 -> 41 [size =\"21152768\"]\n  25 -> 43 [size =\"21152768\"]\n  25 -> 47 [size =\"21152768\"]\n  25 -> 48 [size =\"21152768\"]\n  26 [size=\"82419712\", alpha=\"0.03\", expect_size=\"41209856\"] \n  26 -> 38 [size =\"41209856\"]\n  26 -> 38 [size =\"41209856\"]\n  26 -> 40 [size =\"41209856\"]\n  26 -> 41 [size =\"41209856\"]\n  26 -> 47 [size =\"41209856\"]\n  26 -> 48 [size =\"41209856\"]\n  26 -> 49 [size =\"41209856\"]\n  26 -> 50 [size =\"41209856\"]\n  27 [size=\"56924160\", alpha=\"0.03\", expect_size=\"28462080\"] \n  27 -> 38 [size =\"28462080\"]\n  27 -> 40 [size =\"28462080\"]\n  27 -> 40 [size =\"28462080\"]\n  27 -> 41 [size =\"28462080\"]\n  27 -> 48 [size =\"28462080\"]\n  27 -> 50 [size =\"28462080\"]\n  28 [size=\"26908672\", alpha=\"0.10\", expect_size=\"13454336\"] \n  28 -> 38 [size =\"13454336\"]\n  28 -> 41 [size =\"13454336\"]\n  28 -> 42 [size =\"13454336\"]\n  28 -> 43 [size =\"13454336\"]\n  28 -> 44 [size =\"13454336\"]\n  28 -> 47 [size =\"13454336\"]\n  28 -> 49 [size =\"13454336\"]\n  28 -> 50 [size =\"13454336\"]\n  29 [size=\"103868416\", alpha=\"0.13\", expect_size=\"51934208\"] \n  29 -> 39 [size =\"51934208\"]\n  29 -> 40 [size =\"51934208\"]\n  29 -> 41 [size =\"51934208\"]\n  29 -> 43 [size =\"51934208\"]\n  29 -> 45 [size =\"51934208\"]\n  29 -> 47 [size =\"51934208\"]\n  30 [size=\"52195328\", alpha=\"0.01\", expect_size=\"26097664\"] \n  30 -> 38 [size =\"26097664\"]\n  30 -> 39 [size =\"26097664\"]\n  30 -> 40 [size =\"26097664\"]\n  30 -> 41 [size =\"26097664\"]\n  30 -> 43 [size =\"26097664\"]\n  30 -> 44 [size =\"26097664\"]\n  30 -> 46 [size =\"26097664\"]\n  31 [size=\"19818496\", alpha=\"0.04\", expect_size=\"9909248\"] \n  31 -> 36 [size =\"9909248\"]\n  31 -> 37 [size =\"9909248\"]\n  31 -> 38 [size =\"9909248\"]\n  31 -> 40 [size =\"9909248\"]\n  31 -> 43 [size =\"9909248\"]\n  31 -> 44 [size =\"9909248\"]\n  31 -> 46 [size =\"9909248\"]\n  31 -> 50 [size =\"9909248\"]\n  32 [size=\"36282368\", alpha=\"0.15\", expect_size=\"18141184\"] \n  32 -> 37 [size =\"18141184\"]\n  32 -> 37 [size =\"18141184\"]\n  32 -> 40 [size =\"18141184\"]\n  32 -> 40 [size =\"18141184\"]\n  32 -> 42 [size =\"18141184\"]\n  32 -> 43 [size =\"18141184\"]\n  32 -> 44 [size =\"18141184\"]\n  32 -> 48 [size =\"18141184\"]\n  32 -> 49 [size =\"18141184\"]\n  33 [size=\"56668160\", alpha=\"0.02\", expect_size=\"28334080\"] \n  33 -> 47 [size =\"28334080\"]\n  33 -> 48 [size =\"28334080\"]\n  33 -> 49 [size =\"28334080\"]\n  33 -> 50 [size =\"28334080\"]\n  34 [size=\"15927296\", alpha=\"0.15\", expect_size=\"7963648\"] \n  34 -> 38 [size =\"7963648\"]\n  34 -> 40 [size =\"7963648\"]\n  34 -> 45 [size =\"7963648\"]\n  34 -> 49 [size =\"7963648\"]\n  35 [size=\"10711040\", alpha=\"0.07\", expect_size=\"5355520\"] \n  35 -> 38 [size =\"5355520\"]\n  35 -> 39 [size =\"5355520\"]\n  35 -> 40 [size =\"5355520\"]\n  35 -> 41 [size =\"5355520\"]\n  35 -> 48 [size =\"5355520\"]\n  35 -> 49 [size =\"5355520\"]\n  35 -> 50 [size =\"5355520\"]\n  36 [size=\"44154880\", alpha=\"0.02\", expect_size=\"22077440\"] \n  37 [size=\"58988544\", alpha=\"0.02\", expect_size=\"29494272\"] \n  38 [size=\"71888896\", alpha=\"0.07\", expect_size=\"35944448\"] \n  39 [size=\"26836992\", alpha=\"0.05\", expect_size=\"13418496\"] \n  40 [size=\"89919488\", alpha=\"0.03\", expect_size=\"44959744\"] \n  41 [size=\"94820352\", alpha=\"0.02\", expect_size=\"47410176\"] \n  42 [size=\"18251776\", alpha=\"0.02\", expect_size=\"9125888\"] \n  43 [size=\"87988224\", alpha=\"0.06\", expect_size=\"43994112\"] \n  44 [size=\"98600960\", alpha=\"0.04\", expect_size=\"49300480\"] \n  45 [size=\"73799680\", alpha=\"0.09\", expect_size=\"36899840\"] \n  46 [size=\"12644352\", alpha=\"0.09\", expect_size=\"6322176\"] \n  47 [size=\"20340736\", alpha=\"0.19\", expect_size=\"10170368\"] \n  48 [size=\"27787264\", alpha=\"0.12\", expect_size=\"13893632\"] \n  49 [size=\"60948480\", alpha=\"0.05\", expect_size=\"30474240\"] \n  50 [size=\"86822912\", alpha=\"0.07\", expect_size=\"43411456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.514.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15528960\", alpha=\"0.05\", expect_size=\"6211584\"] \n  1 -> 7 [size =\"6211584\"]\n  1 -> 8 [size =\"6211584\"]\n  1 -> 13 [size =\"6211584\"]\n  2 [size=\"42777600\", alpha=\"0.17\", expect_size=\"17111040\"] \n  2 -> 7 [size =\"17111040\"]\n  2 -> 8 [size =\"17111040\"]\n  2 -> 9 [size =\"17111040\"]\n  2 -> 11 [size =\"17111040\"]\n  2 -> 12 [size =\"17111040\"]\n  2 -> 13 [size =\"17111040\"]\n  3 [size=\"98245120\", alpha=\"0.03\", expect_size=\"39298048\"] \n  3 -> 7 [size =\"39298048\"]\n  3 -> 10 [size =\"39298048\"]\n  3 -> 11 [size =\"39298048\"]\n  3 -> 12 [size =\"39298048\"]\n  4 [size=\"31137280\", alpha=\"0.03\", expect_size=\"12454912\"] \n  4 -> 9 [size =\"12454912\"]\n  4 -> 12 [size =\"12454912\"]\n  5 [size=\"107138560\", alpha=\"0.17\", expect_size=\"42855424\"] \n  5 -> 7 [size =\"42855424\"]\n  5 -> 11 [size =\"42855424\"]\n  5 -> 12 [size =\"42855424\"]\n  5 -> 13 [size =\"42855424\"]\n  6 [size=\"42480640\", alpha=\"0.02\", expect_size=\"16992256\"] \n  6 -> 8 [size =\"16992256\"]\n  6 -> 9 [size =\"16992256\"]\n  7 [size=\"47795200\", alpha=\"0.17\", expect_size=\"19118080\"] \n  7 -> 14 [size =\"19118080\"]\n  7 -> 15 [size =\"19118080\"]\n  7 -> 19 [size =\"19118080\"]\n  7 -> 20 [size =\"19118080\"]\n  8 [size=\"124259840\", alpha=\"0.02\", expect_size=\"49703936\"] \n  8 -> 14 [size =\"49703936\"]\n  8 -> 17 [size =\"49703936\"]\n  9 [size=\"77908480\", alpha=\"0.01\", expect_size=\"31163392\"] \n  9 -> 14 [size =\"31163392\"]\n  9 -> 20 [size =\"31163392\"]\n  10 [size=\"106398720\", alpha=\"0.16\", expect_size=\"42559488\"] \n  10 -> 16 [size =\"42559488\"]\n  10 -> 20 [size =\"42559488\"]\n  11 [size=\"28136960\", alpha=\"0.16\", expect_size=\"11254784\"] \n  11 -> 14 [size =\"11254784\"]\n  11 -> 16 [size =\"11254784\"]\n  12 [size=\"55759360\", alpha=\"0.13\", expect_size=\"22303744\"] \n  12 -> 16 [size =\"22303744\"]\n  12 -> 17 [size =\"22303744\"]\n  12 -> 19 [size =\"22303744\"]\n  13 [size=\"36610560\", alpha=\"0.02\", expect_size=\"14644224\"] \n  13 -> 16 [size =\"14644224\"]\n  13 -> 18 [size =\"14644224\"]\n  13 -> 19 [size =\"14644224\"]\n  14 [size=\"51691520\", alpha=\"0.17\", expect_size=\"20676608\"] \n  14 -> 22 [size =\"20676608\"]\n  14 -> 24 [size =\"20676608\"]\n  14 -> 26 [size =\"20676608\"]\n  14 -> 28 [size =\"20676608\"]\n  15 [size=\"67138560\", alpha=\"0.03\", expect_size=\"26855424\"] \n  15 -> 21 [size =\"26855424\"]\n  15 -> 25 [size =\"26855424\"]\n  16 [size=\"50752000\", alpha=\"0.10\", expect_size=\"20300800\"] \n  16 -> 21 [size =\"20300800\"]\n  16 -> 26 [size =\"20300800\"]\n  16 -> 28 [size =\"20300800\"]\n  17 [size=\"62136320\", alpha=\"0.04\", expect_size=\"24854528\"] \n  17 -> 21 [size =\"24854528\"]\n  17 -> 23 [size =\"24854528\"]\n  17 -> 24 [size =\"24854528\"]\n  17 -> 26 [size =\"24854528\"]\n  18 [size=\"41794560\", alpha=\"0.13\", expect_size=\"16717824\"] \n  18 -> 24 [size =\"16717824\"]\n  18 -> 28 [size =\"16717824\"]\n  19 [size=\"55150080\", alpha=\"0.15\", expect_size=\"22060032\"] \n  19 -> 21 [size =\"22060032\"]\n  19 -> 24 [size =\"22060032\"]\n  19 -> 25 [size =\"22060032\"]\n  19 -> 26 [size =\"22060032\"]\n  20 [size=\"63188480\", alpha=\"0.09\", expect_size=\"25275392\"] \n  20 -> 21 [size =\"25275392\"]\n  20 -> 23 [size =\"25275392\"]\n  20 -> 24 [size =\"25275392\"]\n  20 -> 25 [size =\"25275392\"]\n  20 -> 26 [size =\"25275392\"]\n  20 -> 27 [size =\"25275392\"]\n  20 -> 28 [size =\"25275392\"]\n  21 [size=\"41489920\", alpha=\"0.03\", expect_size=\"16595968\"] \n  21 -> 29 [size =\"16595968\"]\n  21 -> 32 [size =\"16595968\"]\n  21 -> 33 [size =\"16595968\"]\n  22 [size=\"17694720\", alpha=\"0.03\", expect_size=\"7077888\"] \n  22 -> 29 [size =\"7077888\"]\n  22 -> 31 [size =\"7077888\"]\n  22 -> 32 [size =\"7077888\"]\n  22 -> 33 [size =\"7077888\"]\n  23 [size=\"91719680\", alpha=\"0.16\", expect_size=\"36687872\"] \n  23 -> 31 [size =\"36687872\"]\n  23 -> 32 [size =\"36687872\"]\n  23 -> 32 [size =\"36687872\"]\n  23 -> 33 [size =\"36687872\"]\n  24 [size=\"101480960\", alpha=\"0.13\", expect_size=\"40592384\"] \n  24 -> 31 [size =\"40592384\"]\n  24 -> 32 [size =\"40592384\"]\n  24 -> 33 [size =\"40592384\"]\n  25 [size=\"85611520\", alpha=\"0.06\", expect_size=\"34244608\"] \n  25 -> 29 [size =\"34244608\"]\n  25 -> 30 [size =\"34244608\"]\n  25 -> 33 [size =\"34244608\"]\n  26 [size=\"103795200\", alpha=\"0.04\", expect_size=\"41518080\"] \n  26 -> 29 [size =\"41518080\"]\n  26 -> 30 [size =\"41518080\"]\n  27 [size=\"47595520\", alpha=\"0.08\", expect_size=\"19038208\"] \n  27 -> 30 [size =\"19038208\"]\n  28 [size=\"68664320\", alpha=\"0.10\", expect_size=\"27465728\"] \n  28 -> 29 [size =\"27465728\"]\n  28 -> 32 [size =\"27465728\"]\n  29 [size=\"27686400\", alpha=\"0.04\", expect_size=\"11074560\"] \n  29 -> 34 [size =\"11074560\"]\n  29 -> 37 [size =\"11074560\"]\n  29 -> 38 [size =\"11074560\"]\n  30 [size=\"115875840\", alpha=\"0.13\", expect_size=\"46350336\"] \n  30 -> 35 [size =\"46350336\"]\n  30 -> 38 [size =\"46350336\"]\n  30 -> 40 [size =\"46350336\"]\n  31 [size=\"50350080\", alpha=\"0.05\", expect_size=\"20140032\"] \n  31 -> 34 [size =\"20140032\"]\n  31 -> 36 [size =\"20140032\"]\n  32 [size=\"69463040\", alpha=\"0.04\", expect_size=\"27785216\"] \n  32 -> 34 [size =\"27785216\"]\n  32 -> 36 [size =\"27785216\"]\n  33 [size=\"84920320\", alpha=\"0.07\", expect_size=\"33968128\"] \n  33 -> 38 [size =\"33968128\"]\n  33 -> 39 [size =\"33968128\"]\n  34 [size=\"63897600\", alpha=\"0.17\", expect_size=\"25559040\"] \n  34 -> 42 [size =\"25559040\"]\n  34 -> 45 [size =\"25559040\"]\n  35 [size=\"24427520\", alpha=\"0.15\", expect_size=\"9771008\"] \n  35 -> 45 [size =\"9771008\"]\n  36 [size=\"60544000\", alpha=\"0.01\", expect_size=\"24217600\"] \n  36 -> 44 [size =\"24217600\"]\n  37 [size=\"83653120\", alpha=\"0.14\", expect_size=\"33461248\"] \n  37 -> 41 [size =\"33461248\"]\n  37 -> 44 [size =\"33461248\"]\n  38 [size=\"128448000\", alpha=\"0.12\", expect_size=\"51379200\"] \n  38 -> 44 [size =\"51379200\"]\n  38 -> 45 [size =\"51379200\"]\n  38 -> 47 [size =\"51379200\"]\n  38 -> 48 [size =\"51379200\"]\n  39 [size=\"70149120\", alpha=\"0.18\", expect_size=\"28059648\"] \n  39 -> 44 [size =\"28059648\"]\n  39 -> 45 [size =\"28059648\"]\n  39 -> 46 [size =\"28059648\"]\n  40 [size=\"91522560\", alpha=\"0.12\", expect_size=\"36609024\"] \n  40 -> 41 [size =\"36609024\"]\n  40 -> 43 [size =\"36609024\"]\n  40 -> 44 [size =\"36609024\"]\n  40 -> 45 [size =\"36609024\"]\n  40 -> 48 [size =\"36609024\"]\n  41 [size=\"49935360\", alpha=\"0.11\", expect_size=\"19974144\"] \n  41 -> 50 [size =\"19974144\"]\n  42 [size=\"78382080\", alpha=\"0.10\", expect_size=\"31352832\"] \n  43 [size=\"101552640\", alpha=\"0.03\", expect_size=\"40621056\"] \n  44 [size=\"24985600\", alpha=\"0.11\", expect_size=\"9994240\"] \n  44 -> 49 [size =\"9994240\"]\n  44 -> 50 [size =\"9994240\"]\n  45 [size=\"123197440\", alpha=\"0.11\", expect_size=\"49278976\"] \n  45 -> 50 [size =\"49278976\"]\n  45 -> 50 [size =\"49278976\"]\n  46 [size=\"96327680\", alpha=\"0.07\", expect_size=\"38531072\"] \n  46 -> 50 [size =\"38531072\"]\n  47 [size=\"99980800\", alpha=\"0.08\", expect_size=\"39992320\"] \n  47 -> 49 [size =\"39992320\"]\n  48 [size=\"65228800\", alpha=\"0.19\", expect_size=\"26091520\"] \n  48 -> 49 [size =\"26091520\"]\n  48 -> 50 [size =\"26091520\"]\n  49 [size=\"20759040\", alpha=\"0.12\", expect_size=\"8303616\"] \n  50 [size=\"126579200\", alpha=\"0.03\", expect_size=\"50631680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.515.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87543808\", alpha=\"0.19\", expect_size=\"43771904\"] \n  1 -> 3 [size =\"43771904\"]\n  1 -> 4 [size =\"43771904\"]\n  1 -> 5 [size =\"43771904\"]\n  2 [size=\"24457216\", alpha=\"0.17\", expect_size=\"12228608\"] \n  2 -> 3 [size =\"12228608\"]\n  2 -> 4 [size =\"12228608\"]\n  2 -> 5 [size =\"12228608\"]\n  3 [size=\"18886656\", alpha=\"0.11\", expect_size=\"9443328\"] \n  3 -> 6 [size =\"9443328\"]\n  4 [size=\"20750336\", alpha=\"0.06\", expect_size=\"10375168\"] \n  4 -> 6 [size =\"10375168\"]\n  5 [size=\"34131968\", alpha=\"0.07\", expect_size=\"17065984\"] \n  5 -> 6 [size =\"17065984\"]\n  6 [size=\"15595520\", alpha=\"0.03\", expect_size=\"7797760\"] \n  6 -> 7 [size =\"7797760\"]\n  6 -> 8 [size =\"7797760\"]\n  6 -> 9 [size =\"7797760\"]\n  7 [size=\"69173248\", alpha=\"0.10\", expect_size=\"34586624\"] \n  7 -> 10 [size =\"34586624\"]\n  8 [size=\"103288832\", alpha=\"0.06\", expect_size=\"51644416\"] \n  8 -> 10 [size =\"51644416\"]\n  9 [size=\"68118528\", alpha=\"0.15\", expect_size=\"34059264\"] \n  9 -> 10 [size =\"34059264\"]\n  10 [size=\"47677440\", alpha=\"0.10\", expect_size=\"23838720\"] \n  10 -> 11 [size =\"23838720\"]\n  10 -> 12 [size =\"23838720\"]\n  10 -> 13 [size =\"23838720\"]\n  11 [size=\"48310272\", alpha=\"0.18\", expect_size=\"24155136\"] \n  12 [size=\"43022336\", alpha=\"0.05\", expect_size=\"21511168\"] \n  12 -> 15 [size =\"21511168\"]\n  13 [size=\"31025152\", alpha=\"0.20\", expect_size=\"15512576\"] \n  13 -> 14 [size =\"15512576\"]\n  14 [size=\"83761152\", alpha=\"0.02\", expect_size=\"41880576\"] \n  14 -> 16 [size =\"41880576\"]\n  14 -> 17 [size =\"41880576\"]\n  14 -> 18 [size =\"41880576\"]\n  15 [size=\"17051648\", alpha=\"0.17\", expect_size=\"8525824\"] \n  15 -> 16 [size =\"8525824\"]\n  15 -> 17 [size =\"8525824\"]\n  15 -> 18 [size =\"8525824\"]\n  16 [size=\"52049920\", alpha=\"0.19\", expect_size=\"26024960\"] \n  16 -> 20 [size =\"26024960\"]\n  16 -> 21 [size =\"26024960\"]\n  17 [size=\"66476032\", alpha=\"0.08\", expect_size=\"33238016\"] \n  17 -> 20 [size =\"33238016\"]\n  17 -> 21 [size =\"33238016\"]\n  18 [size=\"17037312\", alpha=\"0.03\", expect_size=\"8518656\"] \n  18 -> 19 [size =\"8518656\"]\n  18 -> 20 [size =\"8518656\"]\n  19 [size=\"47706112\", alpha=\"0.09\", expect_size=\"23853056\"] \n  19 -> 22 [size =\"23853056\"]\n  19 -> 23 [size =\"23853056\"]\n  20 [size=\"25171968\", alpha=\"0.19\", expect_size=\"12585984\"] \n  20 -> 23 [size =\"12585984\"]\n  21 [size=\"72505344\", alpha=\"0.06\", expect_size=\"36252672\"] \n  21 -> 22 [size =\"36252672\"]\n  21 -> 23 [size =\"36252672\"]\n  22 [size=\"61196288\", alpha=\"0.15\", expect_size=\"30598144\"] \n  22 -> 24 [size =\"30598144\"]\n  23 [size=\"85448704\", alpha=\"0.06\", expect_size=\"42724352\"] \n  23 -> 24 [size =\"42724352\"]\n  23 -> 25 [size =\"42724352\"]\n  24 [size=\"84924416\", alpha=\"0.20\", expect_size=\"42462208\"] \n  24 -> 26 [size =\"42462208\"]\n  24 -> 27 [size =\"42462208\"]\n  25 [size=\"94144512\", alpha=\"0.18\", expect_size=\"47072256\"] \n  25 -> 26 [size =\"47072256\"]\n  26 [size=\"80224256\", alpha=\"0.18\", expect_size=\"40112128\"] \n  26 -> 28 [size =\"40112128\"]\n  26 -> 29 [size =\"40112128\"]\n  27 [size=\"76435456\", alpha=\"0.10\", expect_size=\"38217728\"] \n  27 -> 28 [size =\"38217728\"]\n  27 -> 29 [size =\"38217728\"]\n  28 [size=\"18802688\", alpha=\"0.01\", expect_size=\"9401344\"] \n  28 -> 30 [size =\"9401344\"]\n  28 -> 31 [size =\"9401344\"]\n  28 -> 32 [size =\"9401344\"]\n  28 -> 33 [size =\"9401344\"]\n  29 [size=\"33214464\", alpha=\"0.05\", expect_size=\"16607232\"] \n  29 -> 30 [size =\"16607232\"]\n  29 -> 31 [size =\"16607232\"]\n  29 -> 32 [size =\"16607232\"]\n  30 [size=\"76386304\", alpha=\"0.17\", expect_size=\"38193152\"] \n  30 -> 34 [size =\"38193152\"]\n  30 -> 35 [size =\"38193152\"]\n  31 [size=\"73089024\", alpha=\"0.17\", expect_size=\"36544512\"] \n  31 -> 35 [size =\"36544512\"]\n  31 -> 36 [size =\"36544512\"]\n  32 [size=\"100382720\", alpha=\"0.03\", expect_size=\"50191360\"] \n  32 -> 34 [size =\"50191360\"]\n  32 -> 35 [size =\"50191360\"]\n  32 -> 36 [size =\"50191360\"]\n  33 [size=\"77864960\", alpha=\"0.14\", expect_size=\"38932480\"] \n  33 -> 34 [size =\"38932480\"]\n  33 -> 35 [size =\"38932480\"]\n  34 [size=\"13938688\", alpha=\"0.01\", expect_size=\"6969344\"] \n  34 -> 38 [size =\"6969344\"]\n  34 -> 39 [size =\"6969344\"]\n  35 [size=\"13240320\", alpha=\"0.08\", expect_size=\"6620160\"] \n  35 -> 37 [size =\"6620160\"]\n  35 -> 38 [size =\"6620160\"]\n  36 [size=\"99418112\", alpha=\"0.05\", expect_size=\"49709056\"] \n  36 -> 37 [size =\"49709056\"]\n  36 -> 38 [size =\"49709056\"]\n  37 [size=\"88840192\", alpha=\"0.14\", expect_size=\"44420096\"] \n  37 -> 41 [size =\"44420096\"]\n  38 [size=\"40194048\", alpha=\"0.04\", expect_size=\"20097024\"] \n  38 -> 41 [size =\"20097024\"]\n  39 [size=\"46280704\", alpha=\"0.01\", expect_size=\"23140352\"] \n  39 -> 40 [size =\"23140352\"]\n  39 -> 41 [size =\"23140352\"]\n  40 [size=\"70365184\", alpha=\"0.02\", expect_size=\"35182592\"] \n  40 -> 42 [size =\"35182592\"]\n  40 -> 43 [size =\"35182592\"]\n  40 -> 44 [size =\"35182592\"]\n  41 [size=\"55269376\", alpha=\"0.17\", expect_size=\"27634688\"] \n  41 -> 42 [size =\"27634688\"]\n  41 -> 43 [size =\"27634688\"]\n  41 -> 44 [size =\"27634688\"]\n  42 [size=\"38817792\", alpha=\"0.01\", expect_size=\"19408896\"] \n  42 -> 45 [size =\"19408896\"]\n  42 -> 46 [size =\"19408896\"]\n  43 [size=\"53547008\", alpha=\"0.02\", expect_size=\"26773504\"] \n  43 -> 46 [size =\"26773504\"]\n  44 [size=\"25628672\", alpha=\"0.19\", expect_size=\"12814336\"] \n  44 -> 46 [size =\"12814336\"]\n  45 [size=\"28334080\", alpha=\"0.13\", expect_size=\"14167040\"] \n  45 -> 47 [size =\"14167040\"]\n  45 -> 48 [size =\"14167040\"]\n  45 -> 49 [size =\"14167040\"]\n  46 [size=\"68233216\", alpha=\"0.02\", expect_size=\"34116608\"] \n  46 -> 47 [size =\"34116608\"]\n  46 -> 48 [size =\"34116608\"]\n  46 -> 49 [size =\"34116608\"]\n  47 [size=\"92516352\", alpha=\"0.05\", expect_size=\"46258176\"] \n  48 [size=\"62806016\", alpha=\"0.10\", expect_size=\"31403008\"] \n  48 -> 50 [size =\"31403008\"]\n  49 [size=\"80025600\", alpha=\"0.19\", expect_size=\"40012800\"] \n  50 [size=\"87023616\", alpha=\"0.03\", expect_size=\"43511808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.516.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96573440\", alpha=\"0.19\", expect_size=\"28972032\"] \n  1 -> 21 [size =\"28972032\"]\n  1 -> 23 [size =\"28972032\"]\n  1 -> 28 [size =\"28972032\"]\n  1 -> 29 [size =\"28972032\"]\n  2 [size=\"141052587\", alpha=\"0.02\", expect_size=\"42315776\"] \n  2 -> 23 [size =\"42315776\"]\n  2 -> 27 [size =\"42315776\"]\n  2 -> 30 [size =\"42315776\"]\n  3 [size=\"47339520\", alpha=\"0.20\", expect_size=\"14201856\"] \n  3 -> 21 [size =\"14201856\"]\n  3 -> 30 [size =\"14201856\"]\n  4 [size=\"74919253\", alpha=\"0.19\", expect_size=\"22475776\"] \n  4 -> 18 [size =\"22475776\"]\n  4 -> 23 [size =\"22475776\"]\n  5 [size=\"20022613\", alpha=\"0.15\", expect_size=\"6006784\"] \n  5 -> 18 [size =\"6006784\"]\n  5 -> 21 [size =\"6006784\"]\n  5 -> 23 [size =\"6006784\"]\n  5 -> 25 [size =\"6006784\"]\n  6 [size=\"103953067\", alpha=\"0.04\", expect_size=\"31185920\"] \n  6 -> 19 [size =\"31185920\"]\n  6 -> 22 [size =\"31185920\"]\n  6 -> 23 [size =\"31185920\"]\n  6 -> 24 [size =\"31185920\"]\n  6 -> 25 [size =\"31185920\"]\n  6 -> 27 [size =\"31185920\"]\n  6 -> 28 [size =\"31185920\"]\n  7 [size=\"141192533\", alpha=\"0.12\", expect_size=\"42357760\"] \n  7 -> 17 [size =\"42357760\"]\n  7 -> 18 [size =\"42357760\"]\n  7 -> 22 [size =\"42357760\"]\n  7 -> 27 [size =\"42357760\"]\n  8 [size=\"28276053\", alpha=\"0.04\", expect_size=\"8482816\"] \n  8 -> 22 [size =\"8482816\"]\n  8 -> 27 [size =\"8482816\"]\n  8 -> 28 [size =\"8482816\"]\n  9 [size=\"150469973\", alpha=\"0.03\", expect_size=\"45140992\"] \n  10 [size=\"125668693\", alpha=\"0.02\", expect_size=\"37700608\"] \n  10 -> 21 [size =\"37700608\"]\n  10 -> 22 [size =\"37700608\"]\n  10 -> 26 [size =\"37700608\"]\n  10 -> 27 [size =\"37700608\"]\n  10 -> 30 [size =\"37700608\"]\n  11 [size=\"68345173\", alpha=\"0.10\", expect_size=\"20503552\"] \n  11 -> 17 [size =\"20503552\"]\n  11 -> 22 [size =\"20503552\"]\n  11 -> 26 [size =\"20503552\"]\n  11 -> 27 [size =\"20503552\"]\n  12 [size=\"57702400\", alpha=\"0.10\", expect_size=\"17310720\"] \n  12 -> 20 [size =\"17310720\"]\n  12 -> 23 [size =\"17310720\"]\n  12 -> 25 [size =\"17310720\"]\n  12 -> 28 [size =\"17310720\"]\n  13 [size=\"77288107\", alpha=\"0.13\", expect_size=\"23186432\"] \n  13 -> 24 [size =\"23186432\"]\n  14 [size=\"75028480\", alpha=\"0.09\", expect_size=\"22508544\"] \n  14 -> 21 [size =\"22508544\"]\n  14 -> 28 [size =\"22508544\"]\n  15 [size=\"70041600\", alpha=\"0.01\", expect_size=\"21012480\"] \n  15 -> 19 [size =\"21012480\"]\n  15 -> 21 [size =\"21012480\"]\n  15 -> 23 [size =\"21012480\"]\n  15 -> 24 [size =\"21012480\"]\n  15 -> 25 [size =\"21012480\"]\n  15 -> 27 [size =\"21012480\"]\n  15 -> 28 [size =\"21012480\"]\n  16 [size=\"29422933\", alpha=\"0.08\", expect_size=\"8826880\"] \n  16 -> 19 [size =\"8826880\"]\n  16 -> 20 [size =\"8826880\"]\n  16 -> 21 [size =\"8826880\"]\n  16 -> 23 [size =\"8826880\"]\n  16 -> 27 [size =\"8826880\"]\n  16 -> 28 [size =\"8826880\"]\n  17 [size=\"58842453\", alpha=\"0.16\", expect_size=\"17652736\"] \n  17 -> 41 [size =\"17652736\"]\n  17 -> 43 [size =\"17652736\"]\n  18 [size=\"154760533\", alpha=\"0.17\", expect_size=\"46428160\"] \n  18 -> 31 [size =\"46428160\"]\n  18 -> 32 [size =\"46428160\"]\n  18 -> 36 [size =\"46428160\"]\n  18 -> 39 [size =\"46428160\"]\n  18 -> 41 [size =\"46428160\"]\n  18 -> 43 [size =\"46428160\"]\n  18 -> 46 [size =\"46428160\"]\n  19 [size=\"32525653\", alpha=\"0.13\", expect_size=\"9757696\"] \n  19 -> 36 [size =\"9757696\"]\n  19 -> 39 [size =\"9757696\"]\n  19 -> 40 [size =\"9757696\"]\n  20 [size=\"55244800\", alpha=\"0.16\", expect_size=\"16573440\"] \n  20 -> 32 [size =\"16573440\"]\n  20 -> 39 [size =\"16573440\"]\n  21 [size=\"69362347\", alpha=\"0.08\", expect_size=\"20808704\"] \n  21 -> 31 [size =\"20808704\"]\n  21 -> 33 [size =\"20808704\"]\n  21 -> 35 [size =\"20808704\"]\n  21 -> 39 [size =\"20808704\"]\n  21 -> 45 [size =\"20808704\"]\n  21 -> 46 [size =\"20808704\"]\n  22 [size=\"148889600\", alpha=\"0.17\", expect_size=\"44666880\"] \n  22 -> 40 [size =\"44666880\"]\n  22 -> 41 [size =\"44666880\"]\n  22 -> 43 [size =\"44666880\"]\n  23 [size=\"68304213\", alpha=\"0.09\", expect_size=\"20491264\"] \n  23 -> 38 [size =\"20491264\"]\n  23 -> 42 [size =\"20491264\"]\n  24 [size=\"172629333\", alpha=\"0.09\", expect_size=\"51788800\"] \n  24 -> 36 [size =\"51788800\"]\n  24 -> 38 [size =\"51788800\"]\n  24 -> 39 [size =\"51788800\"]\n  24 -> 41 [size =\"51788800\"]\n  24 -> 43 [size =\"51788800\"]\n  24 -> 46 [size =\"51788800\"]\n  25 [size=\"88200533\", alpha=\"0.09\", expect_size=\"26460160\"] \n  25 -> 31 [size =\"26460160\"]\n  25 -> 34 [size =\"26460160\"]\n  25 -> 37 [size =\"26460160\"]\n  25 -> 43 [size =\"26460160\"]\n  25 -> 45 [size =\"26460160\"]\n  26 [size=\"96512000\", alpha=\"0.20\", expect_size=\"28953600\"] \n  26 -> 37 [size =\"28953600\"]\n  26 -> 39 [size =\"28953600\"]\n  27 [size=\"156453547\", alpha=\"0.07\", expect_size=\"46936064\"] \n  27 -> 31 [size =\"46936064\"]\n  27 -> 35 [size =\"46936064\"]\n  27 -> 38 [size =\"46936064\"]\n  27 -> 41 [size =\"46936064\"]\n  28 [size=\"124620800\", alpha=\"0.15\", expect_size=\"37386240\"] \n  28 -> 37 [size =\"37386240\"]\n  28 -> 43 [size =\"37386240\"]\n  28 -> 46 [size =\"37386240\"]\n  29 [size=\"100935680\", alpha=\"0.20\", expect_size=\"30280704\"] \n  29 -> 34 [size =\"30280704\"]\n  29 -> 35 [size =\"30280704\"]\n  29 -> 37 [size =\"30280704\"]\n  29 -> 38 [size =\"30280704\"]\n  29 -> 39 [size =\"30280704\"]\n  29 -> 41 [size =\"30280704\"]\n  29 -> 44 [size =\"30280704\"]\n  29 -> 45 [size =\"30280704\"]\n  30 [size=\"45076480\", alpha=\"0.18\", expect_size=\"13522944\"] \n  30 -> 32 [size =\"13522944\"]\n  30 -> 33 [size =\"13522944\"]\n  30 -> 34 [size =\"13522944\"]\n  30 -> 37 [size =\"13522944\"]\n  31 [size=\"168215893\", alpha=\"0.04\", expect_size=\"50464768\"] \n  31 -> 47 [size =\"50464768\"]\n  31 -> 50 [size =\"50464768\"]\n  32 [size=\"77602133\", alpha=\"0.14\", expect_size=\"23280640\"] \n  32 -> 47 [size =\"23280640\"]\n  32 -> 48 [size =\"23280640\"]\n  32 -> 49 [size =\"23280640\"]\n  33 [size=\"54094507\", alpha=\"0.12\", expect_size=\"16228352\"] \n  33 -> 47 [size =\"16228352\"]\n  34 [size=\"127559680\", alpha=\"0.17\", expect_size=\"38267904\"] \n  34 -> 47 [size =\"38267904\"]\n  35 [size=\"40867840\", alpha=\"0.09\", expect_size=\"12260352\"] \n  35 -> 49 [size =\"12260352\"]\n  35 -> 50 [size =\"12260352\"]\n  36 [size=\"111138133\", alpha=\"0.02\", expect_size=\"33341440\"] \n  36 -> 47 [size =\"33341440\"]\n  36 -> 48 [size =\"33341440\"]\n  37 [size=\"110281387\", alpha=\"0.01\", expect_size=\"33084416\"] \n  37 -> 50 [size =\"33084416\"]\n  38 [size=\"162010453\", alpha=\"0.17\", expect_size=\"48603136\"] \n  38 -> 50 [size =\"48603136\"]\n  39 [size=\"119838720\", alpha=\"0.15\", expect_size=\"35951616\"] \n  39 -> 49 [size =\"35951616\"]\n  39 -> 50 [size =\"35951616\"]\n  40 [size=\"116763307\", alpha=\"0.18\", expect_size=\"35028992\"] \n  41 [size=\"103690240\", alpha=\"0.08\", expect_size=\"31107072\"] \n  41 -> 50 [size =\"31107072\"]\n  42 [size=\"131495253\", alpha=\"0.14\", expect_size=\"39448576\"] \n  42 -> 48 [size =\"39448576\"]\n  42 -> 50 [size =\"39448576\"]\n  43 [size=\"83114667\", alpha=\"0.06\", expect_size=\"24934400\"] \n  43 -> 47 [size =\"24934400\"]\n  43 -> 48 [size =\"24934400\"]\n  44 [size=\"18363733\", alpha=\"0.19\", expect_size=\"5509120\"] \n  44 -> 47 [size =\"5509120\"]\n  45 [size=\"152081067\", alpha=\"0.00\", expect_size=\"45624320\"] \n  45 -> 49 [size =\"45624320\"]\n  46 [size=\"64972800\", alpha=\"0.12\", expect_size=\"19491840\"] \n  46 -> 49 [size =\"19491840\"]\n  47 [size=\"83561813\", alpha=\"0.01\", expect_size=\"25068544\"] \n  48 [size=\"91927893\", alpha=\"0.03\", expect_size=\"27578368\"] \n  49 [size=\"70072320\", alpha=\"0.17\", expect_size=\"21021696\"] \n  50 [size=\"33044480\", alpha=\"0.14\", expect_size=\"9913344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.517.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96522240\", alpha=\"0.12\", expect_size=\"38608896\"] \n  1 -> 2 [size =\"38608896\"]\n  1 -> 3 [size =\"38608896\"]\n  2 [size=\"77360640\", alpha=\"0.13\", expect_size=\"30944256\"] \n  3 [size=\"78100480\", alpha=\"0.08\", expect_size=\"31240192\"] \n  3 -> 4 [size =\"31240192\"]\n  4 [size=\"85478400\", alpha=\"0.09\", expect_size=\"34191360\"] \n  4 -> 5 [size =\"34191360\"]\n  4 -> 6 [size =\"34191360\"]\n  4 -> 7 [size =\"34191360\"]\n  5 [size=\"59514880\", alpha=\"0.16\", expect_size=\"23805952\"] \n  5 -> 8 [size =\"23805952\"]\n  5 -> 9 [size =\"23805952\"]\n  6 [size=\"19328000\", alpha=\"0.18\", expect_size=\"7731200\"] \n  6 -> 9 [size =\"7731200\"]\n  6 -> 10 [size =\"7731200\"]\n  6 -> 11 [size =\"7731200\"]\n  7 [size=\"54707200\", alpha=\"0.19\", expect_size=\"21882880\"] \n  7 -> 8 [size =\"21882880\"]\n  7 -> 11 [size =\"21882880\"]\n  8 [size=\"30592000\", alpha=\"0.15\", expect_size=\"12236800\"] \n  9 [size=\"77368320\", alpha=\"0.07\", expect_size=\"30947328\"] \n  9 -> 13 [size =\"30947328\"]\n  10 [size=\"93790720\", alpha=\"0.07\", expect_size=\"37516288\"] \n  10 -> 12 [size =\"37516288\"]\n  11 [size=\"71265280\", alpha=\"0.01\", expect_size=\"28506112\"] \n  11 -> 12 [size =\"28506112\"]\n  12 [size=\"22384640\", alpha=\"0.00\", expect_size=\"8953856\"] \n  12 -> 15 [size =\"8953856\"]\n  13 [size=\"97198080\", alpha=\"0.09\", expect_size=\"38879232\"] \n  13 -> 14 [size =\"38879232\"]\n  13 -> 16 [size =\"38879232\"]\n  14 [size=\"26583040\", alpha=\"0.02\", expect_size=\"10633216\"] \n  15 [size=\"80545280\", alpha=\"0.12\", expect_size=\"32218112\"] \n  15 -> 17 [size =\"32218112\"]\n  15 -> 18 [size =\"32218112\"]\n  16 [size=\"59499520\", alpha=\"0.10\", expect_size=\"23799808\"] \n  17 [size=\"50378240\", alpha=\"0.12\", expect_size=\"20151296\"] \n  18 [size=\"42334720\", alpha=\"0.13\", expect_size=\"16933888\"] \n  18 -> 19 [size =\"16933888\"]\n  19 [size=\"128058880\", alpha=\"0.03\", expect_size=\"51223552\"] \n  19 -> 20 [size =\"51223552\"]\n  19 -> 21 [size =\"51223552\"]\n  20 [size=\"52439040\", alpha=\"0.20\", expect_size=\"20975616\"] \n  20 -> 23 [size =\"20975616\"]\n  21 [size=\"93588480\", alpha=\"0.11\", expect_size=\"37435392\"] \n  21 -> 22 [size =\"37435392\"]\n  22 [size=\"96857600\", alpha=\"0.13\", expect_size=\"38743040\"] \n  23 [size=\"99568640\", alpha=\"0.07\", expect_size=\"39827456\"] \n  23 -> 24 [size =\"39827456\"]\n  24 [size=\"37578240\", alpha=\"0.12\", expect_size=\"15031296\"] \n  24 -> 25 [size =\"15031296\"]\n  24 -> 26 [size =\"15031296\"]\n  24 -> 27 [size =\"15031296\"]\n  25 [size=\"49372160\", alpha=\"0.05\", expect_size=\"19748864\"] \n  25 -> 28 [size =\"19748864\"]\n  26 [size=\"120440320\", alpha=\"0.20\", expect_size=\"48176128\"] \n  26 -> 28 [size =\"48176128\"]\n  26 -> 29 [size =\"48176128\"]\n  27 [size=\"60001280\", alpha=\"0.01\", expect_size=\"24000512\"] \n  27 -> 30 [size =\"24000512\"]\n  27 -> 31 [size =\"24000512\"]\n  28 [size=\"129574400\", alpha=\"0.06\", expect_size=\"51829760\"] \n  28 -> 33 [size =\"51829760\"]\n  29 [size=\"90662400\", alpha=\"0.01\", expect_size=\"36264960\"] \n  29 -> 32 [size =\"36264960\"]\n  30 [size=\"107284480\", alpha=\"0.10\", expect_size=\"42913792\"] \n  30 -> 32 [size =\"42913792\"]\n  31 [size=\"107043840\", alpha=\"0.09\", expect_size=\"42817536\"] \n  31 -> 34 [size =\"42817536\"]\n  32 [size=\"55388160\", alpha=\"0.09\", expect_size=\"22155264\"] \n  32 -> 35 [size =\"22155264\"]\n  33 [size=\"16573440\", alpha=\"0.04\", expect_size=\"6629376\"] \n  33 -> 36 [size =\"6629376\"]\n  34 [size=\"55598080\", alpha=\"0.01\", expect_size=\"22239232\"] \n  35 [size=\"126863360\", alpha=\"0.09\", expect_size=\"50745344\"] \n  35 -> 38 [size =\"50745344\"]\n  36 [size=\"40852480\", alpha=\"0.05\", expect_size=\"16340992\"] \n  36 -> 37 [size =\"16340992\"]\n  37 [size=\"39715840\", alpha=\"0.08\", expect_size=\"15886336\"] \n  38 [size=\"47091200\", alpha=\"0.16\", expect_size=\"18836480\"] \n  38 -> 39 [size =\"18836480\"]\n  38 -> 40 [size =\"18836480\"]\n  38 -> 41 [size =\"18836480\"]\n  39 [size=\"80463360\", alpha=\"0.03\", expect_size=\"32185344\"] \n  40 [size=\"86131200\", alpha=\"0.16\", expect_size=\"34452480\"] \n  40 -> 42 [size =\"34452480\"]\n  41 [size=\"26813440\", alpha=\"0.04\", expect_size=\"10725376\"] \n  42 [size=\"78638080\", alpha=\"0.05\", expect_size=\"31455232\"] \n  42 -> 43 [size =\"31455232\"]\n  42 -> 44 [size =\"31455232\"]\n  43 [size=\"14950400\", alpha=\"0.01\", expect_size=\"5980160\"] \n  43 -> 46 [size =\"5980160\"]\n  43 -> 48 [size =\"5980160\"]\n  44 [size=\"37808640\", alpha=\"0.02\", expect_size=\"15123456\"] \n  44 -> 45 [size =\"15123456\"]\n  44 -> 47 [size =\"15123456\"]\n  45 [size=\"42726400\", alpha=\"0.08\", expect_size=\"17090560\"] \n  46 [size=\"97139200\", alpha=\"0.13\", expect_size=\"38855680\"] \n  47 [size=\"129477120\", alpha=\"0.06\", expect_size=\"51790848\"] \n  47 -> 49 [size =\"51790848\"]\n  47 -> 50 [size =\"51790848\"]\n  48 [size=\"59048960\", alpha=\"0.18\", expect_size=\"23619584\"] \n  49 [size=\"33047040\", alpha=\"0.03\", expect_size=\"13218816\"] \n  50 [size=\"48455680\", alpha=\"0.05\", expect_size=\"19382272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.518.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74420224\", alpha=\"0.05\", expect_size=\"37210112\"] \n  1 -> 12 [size =\"37210112\"]\n  1 -> 16 [size =\"37210112\"]\n  1 -> 17 [size =\"37210112\"]\n  1 -> 18 [size =\"37210112\"]\n  1 -> 25 [size =\"37210112\"]\n  2 [size=\"82747392\", alpha=\"0.01\", expect_size=\"41373696\"] \n  2 -> 12 [size =\"41373696\"]\n  2 -> 17 [size =\"41373696\"]\n  2 -> 23 [size =\"41373696\"]\n  2 -> 25 [size =\"41373696\"]\n  2 -> 26 [size =\"41373696\"]\n  2 -> 29 [size =\"41373696\"]\n  3 [size=\"33382400\", alpha=\"0.10\", expect_size=\"16691200\"] \n  3 -> 12 [size =\"16691200\"]\n  3 -> 17 [size =\"16691200\"]\n  3 -> 19 [size =\"16691200\"]\n  3 -> 21 [size =\"16691200\"]\n  3 -> 27 [size =\"16691200\"]\n  3 -> 28 [size =\"16691200\"]\n  3 -> 29 [size =\"16691200\"]\n  4 [size=\"22755328\", alpha=\"0.15\", expect_size=\"11377664\"] \n  4 -> 12 [size =\"11377664\"]\n  4 -> 13 [size =\"11377664\"]\n  4 -> 15 [size =\"11377664\"]\n  4 -> 16 [size =\"11377664\"]\n  4 -> 18 [size =\"11377664\"]\n  4 -> 21 [size =\"11377664\"]\n  4 -> 23 [size =\"11377664\"]\n  4 -> 24 [size =\"11377664\"]\n  4 -> 25 [size =\"11377664\"]\n  4 -> 26 [size =\"11377664\"]\n  4 -> 27 [size =\"11377664\"]\n  4 -> 28 [size =\"11377664\"]\n  5 [size=\"51126272\", alpha=\"0.04\", expect_size=\"25563136\"] \n  5 -> 12 [size =\"25563136\"]\n  5 -> 13 [size =\"25563136\"]\n  5 -> 15 [size =\"25563136\"]\n  5 -> 18 [size =\"25563136\"]\n  5 -> 20 [size =\"25563136\"]\n  5 -> 21 [size =\"25563136\"]\n  5 -> 22 [size =\"25563136\"]\n  5 -> 25 [size =\"25563136\"]\n  5 -> 27 [size =\"25563136\"]\n  6 [size=\"92203008\", alpha=\"0.14\", expect_size=\"46101504\"] \n  6 -> 15 [size =\"46101504\"]\n  6 -> 16 [size =\"46101504\"]\n  6 -> 23 [size =\"46101504\"]\n  7 [size=\"39550976\", alpha=\"0.05\", expect_size=\"19775488\"] \n  7 -> 15 [size =\"19775488\"]\n  7 -> 16 [size =\"19775488\"]\n  7 -> 18 [size =\"19775488\"]\n  7 -> 20 [size =\"19775488\"]\n  7 -> 22 [size =\"19775488\"]\n  7 -> 23 [size =\"19775488\"]\n  7 -> 29 [size =\"19775488\"]\n  8 [size=\"55111680\", alpha=\"0.04\", expect_size=\"27555840\"] \n  8 -> 13 [size =\"27555840\"]\n  8 -> 17 [size =\"27555840\"]\n  8 -> 18 [size =\"27555840\"]\n  8 -> 19 [size =\"27555840\"]\n  8 -> 21 [size =\"27555840\"]\n  8 -> 22 [size =\"27555840\"]\n  8 -> 23 [size =\"27555840\"]\n  8 -> 24 [size =\"27555840\"]\n  9 [size=\"87504896\", alpha=\"0.05\", expect_size=\"43752448\"] \n  9 -> 12 [size =\"43752448\"]\n  9 -> 16 [size =\"43752448\"]\n  9 -> 19 [size =\"43752448\"]\n  9 -> 24 [size =\"43752448\"]\n  9 -> 25 [size =\"43752448\"]\n  10 [size=\"100171776\", alpha=\"0.04\", expect_size=\"50085888\"] \n  10 -> 14 [size =\"50085888\"]\n  10 -> 16 [size =\"50085888\"]\n  10 -> 17 [size =\"50085888\"]\n  10 -> 18 [size =\"50085888\"]\n  10 -> 19 [size =\"50085888\"]\n  10 -> 21 [size =\"50085888\"]\n  10 -> 23 [size =\"50085888\"]\n  10 -> 24 [size =\"50085888\"]\n  10 -> 25 [size =\"50085888\"]\n  10 -> 29 [size =\"50085888\"]\n  11 [size=\"75257856\", alpha=\"0.14\", expect_size=\"37628928\"] \n  11 -> 14 [size =\"37628928\"]\n  11 -> 15 [size =\"37628928\"]\n  11 -> 16 [size =\"37628928\"]\n  11 -> 18 [size =\"37628928\"]\n  11 -> 21 [size =\"37628928\"]\n  11 -> 26 [size =\"37628928\"]\n  11 -> 27 [size =\"37628928\"]\n  11 -> 29 [size =\"37628928\"]\n  12 [size=\"97646592\", alpha=\"0.05\", expect_size=\"48823296\"] \n  12 -> 32 [size =\"48823296\"]\n  12 -> 33 [size =\"48823296\"]\n  12 -> 37 [size =\"48823296\"]\n  12 -> 38 [size =\"48823296\"]\n  12 -> 40 [size =\"48823296\"]\n  12 -> 43 [size =\"48823296\"]\n  12 -> 46 [size =\"48823296\"]\n  12 -> 48 [size =\"48823296\"]\n  13 [size=\"102144000\", alpha=\"0.04\", expect_size=\"51072000\"] \n  13 -> 31 [size =\"51072000\"]\n  13 -> 37 [size =\"51072000\"]\n  13 -> 39 [size =\"51072000\"]\n  13 -> 42 [size =\"51072000\"]\n  13 -> 43 [size =\"51072000\"]\n  13 -> 44 [size =\"51072000\"]\n  13 -> 46 [size =\"51072000\"]\n  14 [size=\"54202368\", alpha=\"0.20\", expect_size=\"27101184\"] \n  14 -> 31 [size =\"27101184\"]\n  14 -> 35 [size =\"27101184\"]\n  14 -> 36 [size =\"27101184\"]\n  14 -> 43 [size =\"27101184\"]\n  14 -> 44 [size =\"27101184\"]\n  14 -> 48 [size =\"27101184\"]\n  15 [size=\"32165888\", alpha=\"0.18\", expect_size=\"16082944\"] \n  15 -> 30 [size =\"16082944\"]\n  15 -> 31 [size =\"16082944\"]\n  15 -> 33 [size =\"16082944\"]\n  15 -> 37 [size =\"16082944\"]\n  15 -> 45 [size =\"16082944\"]\n  15 -> 47 [size =\"16082944\"]\n  16 [size=\"51828736\", alpha=\"0.02\", expect_size=\"25914368\"] \n  16 -> 30 [size =\"25914368\"]\n  16 -> 32 [size =\"25914368\"]\n  16 -> 37 [size =\"25914368\"]\n  16 -> 43 [size =\"25914368\"]\n  16 -> 44 [size =\"25914368\"]\n  16 -> 46 [size =\"25914368\"]\n  17 [size=\"24408064\", alpha=\"0.18\", expect_size=\"12204032\"] \n  17 -> 32 [size =\"12204032\"]\n  17 -> 33 [size =\"12204032\"]\n  17 -> 35 [size =\"12204032\"]\n  17 -> 36 [size =\"12204032\"]\n  17 -> 40 [size =\"12204032\"]\n  18 [size=\"48951296\", alpha=\"0.00\", expect_size=\"24475648\"] \n  18 -> 35 [size =\"24475648\"]\n  18 -> 36 [size =\"24475648\"]\n  18 -> 39 [size =\"24475648\"]\n  18 -> 41 [size =\"24475648\"]\n  18 -> 43 [size =\"24475648\"]\n  18 -> 48 [size =\"24475648\"]\n  19 [size=\"68204544\", alpha=\"0.08\", expect_size=\"34102272\"] \n  19 -> 32 [size =\"34102272\"]\n  19 -> 34 [size =\"34102272\"]\n  19 -> 35 [size =\"34102272\"]\n  19 -> 40 [size =\"34102272\"]\n  19 -> 41 [size =\"34102272\"]\n  19 -> 43 [size =\"34102272\"]\n  19 -> 48 [size =\"34102272\"]\n  20 [size=\"89913344\", alpha=\"0.14\", expect_size=\"44956672\"] \n  20 -> 31 [size =\"44956672\"]\n  20 -> 37 [size =\"44956672\"]\n  20 -> 42 [size =\"44956672\"]\n  20 -> 44 [size =\"44956672\"]\n  20 -> 45 [size =\"44956672\"]\n  20 -> 47 [size =\"44956672\"]\n  20 -> 48 [size =\"44956672\"]\n  21 [size=\"13565952\", alpha=\"0.13\", expect_size=\"6782976\"] \n  21 -> 30 [size =\"6782976\"]\n  21 -> 31 [size =\"6782976\"]\n  21 -> 32 [size =\"6782976\"]\n  21 -> 38 [size =\"6782976\"]\n  21 -> 40 [size =\"6782976\"]\n  21 -> 41 [size =\"6782976\"]\n  21 -> 42 [size =\"6782976\"]\n  21 -> 44 [size =\"6782976\"]\n  21 -> 45 [size =\"6782976\"]\n  21 -> 48 [size =\"6782976\"]\n  22 [size=\"80963584\", alpha=\"0.08\", expect_size=\"40481792\"] \n  22 -> 30 [size =\"40481792\"]\n  22 -> 33 [size =\"40481792\"]\n  22 -> 35 [size =\"40481792\"]\n  22 -> 36 [size =\"40481792\"]\n  22 -> 39 [size =\"40481792\"]\n  22 -> 44 [size =\"40481792\"]\n  22 -> 48 [size =\"40481792\"]\n  23 [size=\"102473728\", alpha=\"0.08\", expect_size=\"51236864\"] \n  23 -> 31 [size =\"51236864\"]\n  23 -> 39 [size =\"51236864\"]\n  23 -> 40 [size =\"51236864\"]\n  23 -> 43 [size =\"51236864\"]\n  23 -> 44 [size =\"51236864\"]\n  23 -> 44 [size =\"51236864\"]\n  23 -> 45 [size =\"51236864\"]\n  23 -> 47 [size =\"51236864\"]\n  23 -> 48 [size =\"51236864\"]\n  24 [size=\"28731392\", alpha=\"0.10\", expect_size=\"14365696\"] \n  24 -> 32 [size =\"14365696\"]\n  24 -> 33 [size =\"14365696\"]\n  24 -> 35 [size =\"14365696\"]\n  24 -> 36 [size =\"14365696\"]\n  24 -> 44 [size =\"14365696\"]\n  24 -> 45 [size =\"14365696\"]\n  24 -> 48 [size =\"14365696\"]\n  25 [size=\"27195392\", alpha=\"0.01\", expect_size=\"13597696\"] \n  25 -> 30 [size =\"13597696\"]\n  25 -> 36 [size =\"13597696\"]\n  25 -> 37 [size =\"13597696\"]\n  25 -> 39 [size =\"13597696\"]\n  25 -> 42 [size =\"13597696\"]\n  25 -> 44 [size =\"13597696\"]\n  26 [size=\"18112512\", alpha=\"0.09\", expect_size=\"9056256\"] \n  26 -> 30 [size =\"9056256\"]\n  26 -> 32 [size =\"9056256\"]\n  26 -> 35 [size =\"9056256\"]\n  26 -> 36 [size =\"9056256\"]\n  26 -> 37 [size =\"9056256\"]\n  26 -> 39 [size =\"9056256\"]\n  26 -> 41 [size =\"9056256\"]\n  26 -> 44 [size =\"9056256\"]\n  27 [size=\"28030976\", alpha=\"0.03\", expect_size=\"14015488\"] \n  27 -> 30 [size =\"14015488\"]\n  27 -> 31 [size =\"14015488\"]\n  27 -> 32 [size =\"14015488\"]\n  27 -> 35 [size =\"14015488\"]\n  27 -> 36 [size =\"14015488\"]\n  27 -> 38 [size =\"14015488\"]\n  27 -> 41 [size =\"14015488\"]\n  27 -> 43 [size =\"14015488\"]\n  27 -> 46 [size =\"14015488\"]\n  27 -> 48 [size =\"14015488\"]\n  28 [size=\"17760256\", alpha=\"0.07\", expect_size=\"8880128\"] \n  28 -> 32 [size =\"8880128\"]\n  28 -> 38 [size =\"8880128\"]\n  28 -> 39 [size =\"8880128\"]\n  29 [size=\"18587648\", alpha=\"0.07\", expect_size=\"9293824\"] \n  29 -> 30 [size =\"9293824\"]\n  29 -> 31 [size =\"9293824\"]\n  29 -> 32 [size =\"9293824\"]\n  29 -> 33 [size =\"9293824\"]\n  29 -> 35 [size =\"9293824\"]\n  29 -> 37 [size =\"9293824\"]\n  29 -> 38 [size =\"9293824\"]\n  29 -> 41 [size =\"9293824\"]\n  29 -> 47 [size =\"9293824\"]\n  29 -> 48 [size =\"9293824\"]\n  30 [size=\"55752704\", alpha=\"0.07\", expect_size=\"27876352\"] \n  31 [size=\"26578944\", alpha=\"0.19\", expect_size=\"13289472\"] \n  31 -> 49 [size =\"13289472\"]\n  32 [size=\"89372672\", alpha=\"0.11\", expect_size=\"44686336\"] \n  32 -> 49 [size =\"44686336\"]\n  32 -> 50 [size =\"44686336\"]\n  33 [size=\"33282048\", alpha=\"0.01\", expect_size=\"16641024\"] \n  34 [size=\"69945344\", alpha=\"0.02\", expect_size=\"34972672\"] \n  34 -> 49 [size =\"34972672\"]\n  35 [size=\"22892544\", alpha=\"0.06\", expect_size=\"11446272\"] \n  35 -> 49 [size =\"11446272\"]\n  35 -> 50 [size =\"11446272\"]\n  36 [size=\"27138048\", alpha=\"0.20\", expect_size=\"13569024\"] \n  37 [size=\"70029312\", alpha=\"0.16\", expect_size=\"35014656\"] \n  37 -> 50 [size =\"35014656\"]\n  38 [size=\"86257664\", alpha=\"0.00\", expect_size=\"43128832\"] \n  38 -> 50 [size =\"43128832\"]\n  39 [size=\"26081280\", alpha=\"0.17\", expect_size=\"13040640\"] \n  39 -> 50 [size =\"13040640\"]\n  40 [size=\"60891136\", alpha=\"0.11\", expect_size=\"30445568\"] \n  41 [size=\"91631616\", alpha=\"0.05\", expect_size=\"45815808\"] \n  42 [size=\"88705024\", alpha=\"0.14\", expect_size=\"44352512\"] \n  43 [size=\"44898304\", alpha=\"0.03\", expect_size=\"22449152\"] \n  43 -> 49 [size =\"22449152\"]\n  44 [size=\"51871744\", alpha=\"0.15\", expect_size=\"25935872\"] \n  45 [size=\"58970112\", alpha=\"0.11\", expect_size=\"29485056\"] \n  46 [size=\"87877632\", alpha=\"0.09\", expect_size=\"43938816\"] \n  47 [size=\"85565440\", alpha=\"0.10\", expect_size=\"42782720\"] \n  48 [size=\"65953792\", alpha=\"0.13\", expect_size=\"32976896\"] \n  48 -> 49 [size =\"32976896\"]\n  48 -> 50 [size =\"32976896\"]\n  49 [size=\"67514368\", alpha=\"0.18\", expect_size=\"33757184\"] \n  50 [size=\"53590016\", alpha=\"0.12\", expect_size=\"26795008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.519.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171165013\", alpha=\"0.16\", expect_size=\"51349504\"] \n  1 -> 18 [size =\"51349504\"]\n  1 -> 21 [size =\"51349504\"]\n  1 -> 22 [size =\"51349504\"]\n  1 -> 24 [size =\"51349504\"]\n  1 -> 25 [size =\"51349504\"]\n  1 -> 25 [size =\"51349504\"]\n  1 -> 27 [size =\"51349504\"]\n  2 [size=\"119435947\", alpha=\"0.16\", expect_size=\"35830784\"] \n  2 -> 16 [size =\"35830784\"]\n  2 -> 18 [size =\"35830784\"]\n  2 -> 21 [size =\"35830784\"]\n  2 -> 23 [size =\"35830784\"]\n  2 -> 24 [size =\"35830784\"]\n  2 -> 25 [size =\"35830784\"]\n  2 -> 27 [size =\"35830784\"]\n  2 -> 28 [size =\"35830784\"]\n  2 -> 29 [size =\"35830784\"]\n  3 [size=\"138338987\", alpha=\"0.14\", expect_size=\"41501696\"] \n  3 -> 16 [size =\"41501696\"]\n  3 -> 18 [size =\"41501696\"]\n  3 -> 21 [size =\"41501696\"]\n  3 -> 25 [size =\"41501696\"]\n  3 -> 27 [size =\"41501696\"]\n  3 -> 28 [size =\"41501696\"]\n  4 [size=\"61955413\", alpha=\"0.03\", expect_size=\"18586624\"] \n  4 -> 16 [size =\"18586624\"]\n  4 -> 18 [size =\"18586624\"]\n  4 -> 19 [size =\"18586624\"]\n  4 -> 21 [size =\"18586624\"]\n  4 -> 25 [size =\"18586624\"]\n  4 -> 26 [size =\"18586624\"]\n  4 -> 27 [size =\"18586624\"]\n  4 -> 28 [size =\"18586624\"]\n  5 [size=\"170530133\", alpha=\"0.06\", expect_size=\"51159040\"] \n  5 -> 16 [size =\"51159040\"]\n  5 -> 18 [size =\"51159040\"]\n  5 -> 19 [size =\"51159040\"]\n  5 -> 21 [size =\"51159040\"]\n  5 -> 22 [size =\"51159040\"]\n  5 -> 25 [size =\"51159040\"]\n  5 -> 26 [size =\"51159040\"]\n  5 -> 27 [size =\"51159040\"]\n  5 -> 28 [size =\"51159040\"]\n  6 [size=\"72427520\", alpha=\"0.12\", expect_size=\"21728256\"] \n  6 -> 16 [size =\"21728256\"]\n  6 -> 18 [size =\"21728256\"]\n  6 -> 20 [size =\"21728256\"]\n  6 -> 21 [size =\"21728256\"]\n  6 -> 27 [size =\"21728256\"]\n  6 -> 28 [size =\"21728256\"]\n  7 [size=\"161365333\", alpha=\"0.09\", expect_size=\"48409600\"] \n  7 -> 16 [size =\"48409600\"]\n  7 -> 18 [size =\"48409600\"]\n  7 -> 19 [size =\"48409600\"]\n  7 -> 22 [size =\"48409600\"]\n  7 -> 24 [size =\"48409600\"]\n  7 -> 25 [size =\"48409600\"]\n  7 -> 27 [size =\"48409600\"]\n  8 [size=\"160587093\", alpha=\"0.06\", expect_size=\"48176128\"] \n  8 -> 16 [size =\"48176128\"]\n  8 -> 18 [size =\"48176128\"]\n  8 -> 22 [size =\"48176128\"]\n  8 -> 25 [size =\"48176128\"]\n  8 -> 28 [size =\"48176128\"]\n  8 -> 29 [size =\"48176128\"]\n  9 [size=\"32201387\", alpha=\"0.02\", expect_size=\"9660416\"] \n  9 -> 16 [size =\"9660416\"]\n  9 -> 20 [size =\"9660416\"]\n  9 -> 21 [size =\"9660416\"]\n  9 -> 22 [size =\"9660416\"]\n  9 -> 23 [size =\"9660416\"]\n  9 -> 24 [size =\"9660416\"]\n  9 -> 26 [size =\"9660416\"]\n  9 -> 28 [size =\"9660416\"]\n  10 [size=\"143930027\", alpha=\"0.19\", expect_size=\"43179008\"] \n  10 -> 16 [size =\"43179008\"]\n  10 -> 17 [size =\"43179008\"]\n  10 -> 19 [size =\"43179008\"]\n  10 -> 21 [size =\"43179008\"]\n  10 -> 24 [size =\"43179008\"]\n  10 -> 26 [size =\"43179008\"]\n  10 -> 28 [size =\"43179008\"]\n  10 -> 28 [size =\"43179008\"]\n  11 [size=\"96351573\", alpha=\"0.03\", expect_size=\"28905472\"] \n  11 -> 19 [size =\"28905472\"]\n  11 -> 20 [size =\"28905472\"]\n  11 -> 24 [size =\"28905472\"]\n  11 -> 25 [size =\"28905472\"]\n  11 -> 26 [size =\"28905472\"]\n  11 -> 27 [size =\"28905472\"]\n  11 -> 28 [size =\"28905472\"]\n  11 -> 29 [size =\"28905472\"]\n  12 [size=\"68311040\", alpha=\"0.01\", expect_size=\"20493312\"] \n  12 -> 16 [size =\"20493312\"]\n  12 -> 19 [size =\"20493312\"]\n  12 -> 20 [size =\"20493312\"]\n  12 -> 25 [size =\"20493312\"]\n  12 -> 26 [size =\"20493312\"]\n  12 -> 27 [size =\"20493312\"]\n  12 -> 28 [size =\"20493312\"]\n  13 [size=\"37369173\", alpha=\"0.01\", expect_size=\"11210752\"] \n  13 -> 16 [size =\"11210752\"]\n  13 -> 18 [size =\"11210752\"]\n  13 -> 19 [size =\"11210752\"]\n  13 -> 24 [size =\"11210752\"]\n  13 -> 25 [size =\"11210752\"]\n  13 -> 26 [size =\"11210752\"]\n  13 -> 27 [size =\"11210752\"]\n  13 -> 28 [size =\"11210752\"]\n  13 -> 30 [size =\"11210752\"]\n  14 [size=\"147111253\", alpha=\"0.05\", expect_size=\"44133376\"] \n  14 -> 16 [size =\"44133376\"]\n  14 -> 18 [size =\"44133376\"]\n  14 -> 20 [size =\"44133376\"]\n  14 -> 21 [size =\"44133376\"]\n  14 -> 22 [size =\"44133376\"]\n  14 -> 25 [size =\"44133376\"]\n  14 -> 27 [size =\"44133376\"]\n  14 -> 28 [size =\"44133376\"]\n  14 -> 30 [size =\"44133376\"]\n  15 [size=\"170274133\", alpha=\"0.19\", expect_size=\"51082240\"] \n  15 -> 18 [size =\"51082240\"]\n  15 -> 18 [size =\"51082240\"]\n  15 -> 19 [size =\"51082240\"]\n  15 -> 20 [size =\"51082240\"]\n  15 -> 24 [size =\"51082240\"]\n  15 -> 25 [size =\"51082240\"]\n  15 -> 27 [size =\"51082240\"]\n  16 [size=\"58603520\", alpha=\"0.08\", expect_size=\"17581056\"] \n  16 -> 31 [size =\"17581056\"]\n  16 -> 32 [size =\"17581056\"]\n  16 -> 34 [size =\"17581056\"]\n  16 -> 35 [size =\"17581056\"]\n  16 -> 37 [size =\"17581056\"]\n  16 -> 40 [size =\"17581056\"]\n  16 -> 41 [size =\"17581056\"]\n  16 -> 42 [size =\"17581056\"]\n  17 [size=\"156760747\", alpha=\"0.15\", expect_size=\"47028224\"] \n  17 -> 32 [size =\"47028224\"]\n  17 -> 32 [size =\"47028224\"]\n  17 -> 34 [size =\"47028224\"]\n  17 -> 35 [size =\"47028224\"]\n  17 -> 39 [size =\"47028224\"]\n  17 -> 40 [size =\"47028224\"]\n  17 -> 43 [size =\"47028224\"]\n  18 [size=\"70338560\", alpha=\"0.00\", expect_size=\"21101568\"] \n  18 -> 32 [size =\"21101568\"]\n  18 -> 33 [size =\"21101568\"]\n  18 -> 34 [size =\"21101568\"]\n  18 -> 35 [size =\"21101568\"]\n  18 -> 36 [size =\"21101568\"]\n  18 -> 37 [size =\"21101568\"]\n  18 -> 40 [size =\"21101568\"]\n  18 -> 42 [size =\"21101568\"]\n  18 -> 45 [size =\"21101568\"]\n  19 [size=\"116200107\", alpha=\"0.16\", expect_size=\"34860032\"] \n  19 -> 31 [size =\"34860032\"]\n  19 -> 33 [size =\"34860032\"]\n  19 -> 34 [size =\"34860032\"]\n  19 -> 38 [size =\"34860032\"]\n  19 -> 40 [size =\"34860032\"]\n  19 -> 43 [size =\"34860032\"]\n  20 [size=\"128501760\", alpha=\"0.06\", expect_size=\"38550528\"] \n  20 -> 31 [size =\"38550528\"]\n  20 -> 32 [size =\"38550528\"]\n  20 -> 33 [size =\"38550528\"]\n  20 -> 34 [size =\"38550528\"]\n  20 -> 37 [size =\"38550528\"]\n  20 -> 38 [size =\"38550528\"]\n  20 -> 39 [size =\"38550528\"]\n  20 -> 40 [size =\"38550528\"]\n  20 -> 45 [size =\"38550528\"]\n  21 [size=\"119934293\", alpha=\"0.14\", expect_size=\"35980288\"] \n  21 -> 31 [size =\"35980288\"]\n  21 -> 32 [size =\"35980288\"]\n  21 -> 34 [size =\"35980288\"]\n  21 -> 35 [size =\"35980288\"]\n  21 -> 41 [size =\"35980288\"]\n  21 -> 43 [size =\"35980288\"]\n  21 -> 45 [size =\"35980288\"]\n  22 [size=\"140229973\", alpha=\"0.16\", expect_size=\"42068992\"] \n  22 -> 31 [size =\"42068992\"]\n  22 -> 32 [size =\"42068992\"]\n  22 -> 34 [size =\"42068992\"]\n  22 -> 35 [size =\"42068992\"]\n  22 -> 37 [size =\"42068992\"]\n  22 -> 38 [size =\"42068992\"]\n  22 -> 40 [size =\"42068992\"]\n  22 -> 44 [size =\"42068992\"]\n  23 [size=\"149097813\", alpha=\"0.13\", expect_size=\"44729344\"] \n  23 -> 31 [size =\"44729344\"]\n  23 -> 34 [size =\"44729344\"]\n  23 -> 35 [size =\"44729344\"]\n  23 -> 39 [size =\"44729344\"]\n  23 -> 42 [size =\"44729344\"]\n  23 -> 43 [size =\"44729344\"]\n  24 [size=\"153654613\", alpha=\"0.16\", expect_size=\"46096384\"] \n  24 -> 31 [size =\"46096384\"]\n  24 -> 32 [size =\"46096384\"]\n  24 -> 33 [size =\"46096384\"]\n  24 -> 35 [size =\"46096384\"]\n  24 -> 41 [size =\"46096384\"]\n  24 -> 46 [size =\"46096384\"]\n  25 [size=\"37915307\", alpha=\"0.18\", expect_size=\"11374592\"] \n  25 -> 31 [size =\"11374592\"]\n  25 -> 32 [size =\"11374592\"]\n  25 -> 33 [size =\"11374592\"]\n  25 -> 34 [size =\"11374592\"]\n  25 -> 38 [size =\"11374592\"]\n  25 -> 40 [size =\"11374592\"]\n  26 [size=\"33341440\", alpha=\"0.08\", expect_size=\"10002432\"] \n  26 -> 31 [size =\"10002432\"]\n  26 -> 32 [size =\"10002432\"]\n  26 -> 33 [size =\"10002432\"]\n  26 -> 34 [size =\"10002432\"]\n  27 [size=\"93412693\", alpha=\"0.15\", expect_size=\"28023808\"] \n  27 -> 31 [size =\"28023808\"]\n  27 -> 32 [size =\"28023808\"]\n  27 -> 34 [size =\"28023808\"]\n  27 -> 34 [size =\"28023808\"]\n  27 -> 35 [size =\"28023808\"]\n  27 -> 37 [size =\"28023808\"]\n  28 [size=\"57589760\", alpha=\"0.01\", expect_size=\"17276928\"] \n  28 -> 31 [size =\"17276928\"]\n  28 -> 32 [size =\"17276928\"]\n  28 -> 34 [size =\"17276928\"]\n  28 -> 37 [size =\"17276928\"]\n  28 -> 45 [size =\"17276928\"]\n  28 -> 46 [size =\"17276928\"]\n  29 [size=\"58876587\", alpha=\"0.08\", expect_size=\"17662976\"] \n  29 -> 31 [size =\"17662976\"]\n  29 -> 32 [size =\"17662976\"]\n  29 -> 33 [size =\"17662976\"]\n  29 -> 35 [size =\"17662976\"]\n  29 -> 36 [size =\"17662976\"]\n  29 -> 37 [size =\"17662976\"]\n  29 -> 41 [size =\"17662976\"]\n  29 -> 42 [size =\"17662976\"]\n  29 -> 43 [size =\"17662976\"]\n  29 -> 45 [size =\"17662976\"]\n  29 -> 46 [size =\"17662976\"]\n  30 [size=\"30842880\", alpha=\"0.12\", expect_size=\"9252864\"] \n  30 -> 31 [size =\"9252864\"]\n  30 -> 32 [size =\"9252864\"]\n  30 -> 37 [size =\"9252864\"]\n  30 -> 41 [size =\"9252864\"]\n  30 -> 44 [size =\"9252864\"]\n  31 [size=\"75557547\", alpha=\"0.06\", expect_size=\"22667264\"] \n  31 -> 47 [size =\"22667264\"]\n  31 -> 49 [size =\"22667264\"]\n  31 -> 49 [size =\"22667264\"]\n  32 [size=\"32136533\", alpha=\"0.06\", expect_size=\"9640960\"] \n  32 -> 49 [size =\"9640960\"]\n  33 [size=\"159829333\", alpha=\"0.09\", expect_size=\"47948800\"] \n  33 -> 47 [size =\"47948800\"]\n  33 -> 50 [size =\"47948800\"]\n  34 [size=\"107642880\", alpha=\"0.08\", expect_size=\"32292864\"] \n  34 -> 49 [size =\"32292864\"]\n  35 [size=\"77342720\", alpha=\"0.07\", expect_size=\"23202816\"] \n  35 -> 48 [size =\"23202816\"]\n  35 -> 50 [size =\"23202816\"]\n  36 [size=\"64696320\", alpha=\"0.10\", expect_size=\"19408896\"] \n  36 -> 48 [size =\"19408896\"]\n  37 [size=\"124661760\", alpha=\"0.12\", expect_size=\"37398528\"] \n  37 -> 47 [size =\"37398528\"]\n  37 -> 49 [size =\"37398528\"]\n  38 [size=\"86551893\", alpha=\"0.00\", expect_size=\"25965568\"] \n  38 -> 48 [size =\"25965568\"]\n  38 -> 49 [size =\"25965568\"]\n  39 [size=\"93477547\", alpha=\"0.01\", expect_size=\"28043264\"] \n  39 -> 48 [size =\"28043264\"]\n  39 -> 49 [size =\"28043264\"]\n  40 [size=\"160170667\", alpha=\"0.16\", expect_size=\"48051200\"] \n  40 -> 48 [size =\"48051200\"]\n  40 -> 49 [size =\"48051200\"]\n  41 [size=\"98512213\", alpha=\"0.04\", expect_size=\"29553664\"] \n  41 -> 47 [size =\"29553664\"]\n  41 -> 48 [size =\"29553664\"]\n  41 -> 49 [size =\"29553664\"]\n  42 [size=\"144660480\", alpha=\"0.08\", expect_size=\"43398144\"] \n  42 -> 48 [size =\"43398144\"]\n  42 -> 48 [size =\"43398144\"]\n  42 -> 49 [size =\"43398144\"]\n  42 -> 50 [size =\"43398144\"]\n  43 [size=\"34884267\", alpha=\"0.08\", expect_size=\"10465280\"] \n  43 -> 47 [size =\"10465280\"]\n  43 -> 50 [size =\"10465280\"]\n  44 [size=\"103645867\", alpha=\"0.06\", expect_size=\"31093760\"] \n  44 -> 48 [size =\"31093760\"]\n  44 -> 49 [size =\"31093760\"]\n  45 [size=\"166014293\", alpha=\"0.06\", expect_size=\"49804288\"] \n  45 -> 47 [size =\"49804288\"]\n  45 -> 48 [size =\"49804288\"]\n  45 -> 49 [size =\"49804288\"]\n  46 [size=\"60211200\", alpha=\"0.08\", expect_size=\"18063360\"] \n  46 -> 47 [size =\"18063360\"]\n  46 -> 48 [size =\"18063360\"]\n  46 -> 49 [size =\"18063360\"]\n  46 -> 50 [size =\"18063360\"]\n  47 [size=\"141936640\", alpha=\"0.20\", expect_size=\"42580992\"] \n  48 [size=\"78622720\", alpha=\"0.17\", expect_size=\"23586816\"] \n  49 [size=\"80418133\", alpha=\"0.19\", expect_size=\"24125440\"] \n  50 [size=\"88763733\", alpha=\"0.03\", expect_size=\"26629120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80867328\", alpha=\"0.12\", expect_size=\"40433664\"] \n  1 -> 6 [size =\"40433664\"]\n  2 [size=\"65316864\", alpha=\"0.15\", expect_size=\"32658432\"] \n  2 -> 8 [size =\"32658432\"]\n  2 -> 9 [size =\"32658432\"]\n  3 [size=\"20828160\", alpha=\"0.17\", expect_size=\"10414080\"] \n  3 -> 6 [size =\"10414080\"]\n  3 -> 9 [size =\"10414080\"]\n  3 -> 10 [size =\"10414080\"]\n  4 [size=\"20185088\", alpha=\"0.20\", expect_size=\"10092544\"] \n  4 -> 8 [size =\"10092544\"]\n  5 [size=\"15640576\", alpha=\"0.14\", expect_size=\"7820288\"] \n  5 -> 6 [size =\"7820288\"]\n  5 -> 7 [size =\"7820288\"]\n  5 -> 11 [size =\"7820288\"]\n  5 -> 12 [size =\"7820288\"]\n  6 [size=\"37646336\", alpha=\"0.14\", expect_size=\"18823168\"] \n  6 -> 14 [size =\"18823168\"]\n  6 -> 15 [size =\"18823168\"]\n  6 -> 16 [size =\"18823168\"]\n  6 -> 17 [size =\"18823168\"]\n  6 -> 19 [size =\"18823168\"]\n  7 [size=\"91860992\", alpha=\"0.17\", expect_size=\"45930496\"] \n  7 -> 16 [size =\"45930496\"]\n  7 -> 18 [size =\"45930496\"]\n  7 -> 19 [size =\"45930496\"]\n  8 [size=\"79513600\", alpha=\"0.01\", expect_size=\"39756800\"] \n  8 -> 18 [size =\"39756800\"]\n  9 [size=\"44742656\", alpha=\"0.16\", expect_size=\"22371328\"] \n  9 -> 15 [size =\"22371328\"]\n  9 -> 18 [size =\"22371328\"]\n  10 [size=\"21692416\", alpha=\"0.20\", expect_size=\"10846208\"] \n  10 -> 18 [size =\"10846208\"]\n  10 -> 18 [size =\"10846208\"]\n  11 [size=\"51200000\", alpha=\"0.19\", expect_size=\"25600000\"] \n  11 -> 13 [size =\"25600000\"]\n  11 -> 16 [size =\"25600000\"]\n  11 -> 17 [size =\"25600000\"]\n  12 [size=\"13594624\", alpha=\"0.10\", expect_size=\"6797312\"] \n  12 -> 13 [size =\"6797312\"]\n  12 -> 14 [size =\"6797312\"]\n  12 -> 15 [size =\"6797312\"]\n  12 -> 16 [size =\"6797312\"]\n  12 -> 17 [size =\"6797312\"]\n  13 [size=\"82438144\", alpha=\"0.14\", expect_size=\"41219072\"] \n  13 -> 20 [size =\"41219072\"]\n  13 -> 21 [size =\"41219072\"]\n  13 -> 22 [size =\"41219072\"]\n  13 -> 23 [size =\"41219072\"]\n  13 -> 24 [size =\"41219072\"]\n  13 -> 25 [size =\"41219072\"]\n  13 -> 26 [size =\"41219072\"]\n  14 [size=\"66406400\", alpha=\"0.02\", expect_size=\"33203200\"] \n  14 -> 21 [size =\"33203200\"]\n  14 -> 22 [size =\"33203200\"]\n  14 -> 22 [size =\"33203200\"]\n  14 -> 24 [size =\"33203200\"]\n  14 -> 25 [size =\"33203200\"]\n  14 -> 26 [size =\"33203200\"]\n  15 [size=\"65040384\", alpha=\"0.08\", expect_size=\"32520192\"] \n  15 -> 20 [size =\"32520192\"]\n  15 -> 23 [size =\"32520192\"]\n  16 [size=\"37812224\", alpha=\"0.10\", expect_size=\"18906112\"] \n  16 -> 23 [size =\"18906112\"]\n  16 -> 26 [size =\"18906112\"]\n  17 [size=\"102856704\", alpha=\"0.01\", expect_size=\"51428352\"] \n  17 -> 20 [size =\"51428352\"]\n  17 -> 21 [size =\"51428352\"]\n  17 -> 22 [size =\"51428352\"]\n  17 -> 23 [size =\"51428352\"]\n  17 -> 25 [size =\"51428352\"]\n  17 -> 27 [size =\"51428352\"]\n  18 [size=\"88989696\", alpha=\"0.11\", expect_size=\"44494848\"] \n  18 -> 21 [size =\"44494848\"]\n  18 -> 22 [size =\"44494848\"]\n  18 -> 23 [size =\"44494848\"]\n  18 -> 26 [size =\"44494848\"]\n  18 -> 27 [size =\"44494848\"]\n  18 -> 27 [size =\"44494848\"]\n  19 [size=\"91985920\", alpha=\"0.13\", expect_size=\"45992960\"] \n  19 -> 20 [size =\"45992960\"]\n  19 -> 24 [size =\"45992960\"]\n  19 -> 25 [size =\"45992960\"]\n  19 -> 26 [size =\"45992960\"]\n  19 -> 27 [size =\"45992960\"]\n  20 [size=\"74942464\", alpha=\"0.01\", expect_size=\"37471232\"] \n  20 -> 29 [size =\"37471232\"]\n  20 -> 30 [size =\"37471232\"]\n  20 -> 33 [size =\"37471232\"]\n  20 -> 34 [size =\"37471232\"]\n  21 [size=\"74438656\", alpha=\"0.03\", expect_size=\"37219328\"] \n  21 -> 28 [size =\"37219328\"]\n  21 -> 29 [size =\"37219328\"]\n  21 -> 30 [size =\"37219328\"]\n  21 -> 34 [size =\"37219328\"]\n  22 [size=\"71000064\", alpha=\"0.18\", expect_size=\"35500032\"] \n  22 -> 29 [size =\"35500032\"]\n  22 -> 31 [size =\"35500032\"]\n  22 -> 34 [size =\"35500032\"]\n  22 -> 35 [size =\"35500032\"]\n  23 [size=\"24256512\", alpha=\"0.14\", expect_size=\"12128256\"] \n  23 -> 28 [size =\"12128256\"]\n  23 -> 29 [size =\"12128256\"]\n  23 -> 34 [size =\"12128256\"]\n  24 [size=\"92121088\", alpha=\"0.13\", expect_size=\"46060544\"] \n  24 -> 28 [size =\"46060544\"]\n  24 -> 29 [size =\"46060544\"]\n  24 -> 30 [size =\"46060544\"]\n  24 -> 32 [size =\"46060544\"]\n  24 -> 34 [size =\"46060544\"]\n  25 [size=\"103706624\", alpha=\"0.13\", expect_size=\"51853312\"] \n  26 [size=\"49207296\", alpha=\"0.18\", expect_size=\"24603648\"] \n  26 -> 28 [size =\"24603648\"]\n  26 -> 30 [size =\"24603648\"]\n  26 -> 31 [size =\"24603648\"]\n  27 [size=\"95524864\", alpha=\"0.01\", expect_size=\"47762432\"] \n  27 -> 30 [size =\"47762432\"]\n  27 -> 34 [size =\"47762432\"]\n  28 [size=\"100644864\", alpha=\"0.18\", expect_size=\"50322432\"] \n  28 -> 37 [size =\"50322432\"]\n  28 -> 39 [size =\"50322432\"]\n  28 -> 41 [size =\"50322432\"]\n  29 [size=\"60334080\", alpha=\"0.03\", expect_size=\"30167040\"] \n  29 -> 37 [size =\"30167040\"]\n  29 -> 41 [size =\"30167040\"]\n  29 -> 41 [size =\"30167040\"]\n  30 [size=\"25966592\", alpha=\"0.10\", expect_size=\"12983296\"] \n  30 -> 37 [size =\"12983296\"]\n  30 -> 41 [size =\"12983296\"]\n  31 [size=\"28682240\", alpha=\"0.06\", expect_size=\"14341120\"] \n  31 -> 38 [size =\"14341120\"]\n  31 -> 40 [size =\"14341120\"]\n  32 [size=\"44492800\", alpha=\"0.02\", expect_size=\"22246400\"] \n  32 -> 41 [size =\"22246400\"]\n  33 [size=\"33855488\", alpha=\"0.13\", expect_size=\"16927744\"] \n  34 [size=\"101488640\", alpha=\"0.17\", expect_size=\"50744320\"] \n  35 [size=\"68347904\", alpha=\"0.12\", expect_size=\"34173952\"] \n  35 -> 36 [size =\"34173952\"]\n  36 [size=\"33961984\", alpha=\"0.12\", expect_size=\"16980992\"] \n  36 -> 42 [size =\"16980992\"]\n  37 [size=\"25487360\", alpha=\"0.13\", expect_size=\"12743680\"] \n  37 -> 42 [size =\"12743680\"]\n  37 -> 45 [size =\"12743680\"]\n  38 [size=\"29935616\", alpha=\"0.10\", expect_size=\"14967808\"] \n  38 -> 42 [size =\"14967808\"]\n  38 -> 43 [size =\"14967808\"]\n  38 -> 44 [size =\"14967808\"]\n  38 -> 45 [size =\"14967808\"]\n  38 -> 46 [size =\"14967808\"]\n  39 [size=\"21956608\", alpha=\"0.04\", expect_size=\"10978304\"] \n  39 -> 42 [size =\"10978304\"]\n  39 -> 43 [size =\"10978304\"]\n  39 -> 44 [size =\"10978304\"]\n  39 -> 45 [size =\"10978304\"]\n  40 [size=\"35813376\", alpha=\"0.12\", expect_size=\"17906688\"] \n  40 -> 42 [size =\"17906688\"]\n  40 -> 44 [size =\"17906688\"]\n  40 -> 46 [size =\"17906688\"]\n  41 [size=\"82712576\", alpha=\"0.13\", expect_size=\"41356288\"] \n  41 -> 43 [size =\"41356288\"]\n  42 [size=\"14624768\", alpha=\"0.08\", expect_size=\"7312384\"] \n  42 -> 49 [size =\"7312384\"]\n  43 [size=\"23402496\", alpha=\"0.05\", expect_size=\"11701248\"] \n  43 -> 48 [size =\"11701248\"]\n  43 -> 49 [size =\"11701248\"]\n  43 -> 50 [size =\"11701248\"]\n  44 [size=\"86628352\", alpha=\"0.19\", expect_size=\"43314176\"] \n  44 -> 47 [size =\"43314176\"]\n  44 -> 49 [size =\"43314176\"]\n  45 [size=\"71479296\", alpha=\"0.14\", expect_size=\"35739648\"] \n  45 -> 47 [size =\"35739648\"]\n  46 [size=\"32507904\", alpha=\"0.16\", expect_size=\"16253952\"] \n  46 -> 47 [size =\"16253952\"]\n  46 -> 49 [size =\"16253952\"]\n  47 [size=\"91416576\", alpha=\"0.16\", expect_size=\"45708288\"] \n  48 [size=\"57458688\", alpha=\"0.16\", expect_size=\"28729344\"] \n  49 [size=\"103512064\", alpha=\"0.06\", expect_size=\"51756032\"] \n  50 [size=\"27963392\", alpha=\"0.20\", expect_size=\"13981696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.520.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46945280\", alpha=\"0.12\", expect_size=\"18778112\"] \n  1 -> 12 [size =\"18778112\"]\n  1 -> 12 [size =\"18778112\"]\n  1 -> 15 [size =\"18778112\"]\n  1 -> 18 [size =\"18778112\"]\n  1 -> 20 [size =\"18778112\"]\n  1 -> 21 [size =\"18778112\"]\n  2 [size=\"125647360\", alpha=\"0.16\", expect_size=\"50258944\"] \n  2 -> 13 [size =\"50258944\"]\n  2 -> 14 [size =\"50258944\"]\n  2 -> 18 [size =\"50258944\"]\n  2 -> 21 [size =\"50258944\"]\n  3 [size=\"46292480\", alpha=\"0.01\", expect_size=\"18516992\"] \n  3 -> 12 [size =\"18516992\"]\n  3 -> 13 [size =\"18516992\"]\n  3 -> 14 [size =\"18516992\"]\n  3 -> 15 [size =\"18516992\"]\n  3 -> 17 [size =\"18516992\"]\n  3 -> 19 [size =\"18516992\"]\n  3 -> 20 [size =\"18516992\"]\n  3 -> 21 [size =\"18516992\"]\n  3 -> 22 [size =\"18516992\"]\n  4 [size=\"94786560\", alpha=\"0.18\", expect_size=\"37914624\"] \n  4 -> 12 [size =\"37914624\"]\n  4 -> 13 [size =\"37914624\"]\n  4 -> 15 [size =\"37914624\"]\n  4 -> 20 [size =\"37914624\"]\n  4 -> 21 [size =\"37914624\"]\n  5 [size=\"16337920\", alpha=\"0.13\", expect_size=\"6535168\"] \n  5 -> 12 [size =\"6535168\"]\n  5 -> 13 [size =\"6535168\"]\n  5 -> 18 [size =\"6535168\"]\n  5 -> 20 [size =\"6535168\"]\n  6 [size=\"104176640\", alpha=\"0.19\", expect_size=\"41670656\"] \n  6 -> 12 [size =\"41670656\"]\n  6 -> 13 [size =\"41670656\"]\n  6 -> 14 [size =\"41670656\"]\n  6 -> 16 [size =\"41670656\"]\n  6 -> 18 [size =\"41670656\"]\n  7 [size=\"101002240\", alpha=\"0.06\", expect_size=\"40400896\"] \n  7 -> 13 [size =\"40400896\"]\n  7 -> 14 [size =\"40400896\"]\n  7 -> 16 [size =\"40400896\"]\n  7 -> 18 [size =\"40400896\"]\n  7 -> 19 [size =\"40400896\"]\n  8 [size=\"46586880\", alpha=\"0.01\", expect_size=\"18634752\"] \n  8 -> 21 [size =\"18634752\"]\n  8 -> 22 [size =\"18634752\"]\n  9 [size=\"58122240\", alpha=\"0.01\", expect_size=\"23248896\"] \n  9 -> 15 [size =\"23248896\"]\n  9 -> 16 [size =\"23248896\"]\n  9 -> 19 [size =\"23248896\"]\n  9 -> 20 [size =\"23248896\"]\n  10 [size=\"83356160\", alpha=\"0.07\", expect_size=\"33342464\"] \n  10 -> 11 [size =\"33342464\"]\n  10 -> 12 [size =\"33342464\"]\n  10 -> 18 [size =\"33342464\"]\n  10 -> 19 [size =\"33342464\"]\n  10 -> 21 [size =\"33342464\"]\n  11 [size=\"41681920\", alpha=\"0.09\", expect_size=\"16672768\"] \n  11 -> 23 [size =\"16672768\"]\n  11 -> 27 [size =\"16672768\"]\n  11 -> 28 [size =\"16672768\"]\n  11 -> 31 [size =\"16672768\"]\n  12 [size=\"115125760\", alpha=\"0.14\", expect_size=\"46050304\"] \n  12 -> 26 [size =\"46050304\"]\n  12 -> 31 [size =\"46050304\"]\n  12 -> 35 [size =\"46050304\"]\n  13 [size=\"93260800\", alpha=\"0.18\", expect_size=\"37304320\"] \n  13 -> 25 [size =\"37304320\"]\n  13 -> 26 [size =\"37304320\"]\n  13 -> 29 [size =\"37304320\"]\n  13 -> 32 [size =\"37304320\"]\n  13 -> 35 [size =\"37304320\"]\n  14 [size=\"97996800\", alpha=\"0.17\", expect_size=\"39198720\"] \n  14 -> 29 [size =\"39198720\"]\n  14 -> 31 [size =\"39198720\"]\n  14 -> 32 [size =\"39198720\"]\n  15 [size=\"83737600\", alpha=\"0.12\", expect_size=\"33495040\"] \n  15 -> 23 [size =\"33495040\"]\n  15 -> 24 [size =\"33495040\"]\n  15 -> 25 [size =\"33495040\"]\n  15 -> 26 [size =\"33495040\"]\n  15 -> 31 [size =\"33495040\"]\n  15 -> 32 [size =\"33495040\"]\n  15 -> 33 [size =\"33495040\"]\n  16 [size=\"43156480\", alpha=\"0.15\", expect_size=\"17262592\"] \n  16 -> 23 [size =\"17262592\"]\n  16 -> 29 [size =\"17262592\"]\n  16 -> 30 [size =\"17262592\"]\n  16 -> 31 [size =\"17262592\"]\n  16 -> 32 [size =\"17262592\"]\n  16 -> 33 [size =\"17262592\"]\n  16 -> 34 [size =\"17262592\"]\n  16 -> 35 [size =\"17262592\"]\n  17 [size=\"34378240\", alpha=\"0.17\", expect_size=\"13751296\"] \n  17 -> 23 [size =\"13751296\"]\n  17 -> 26 [size =\"13751296\"]\n  17 -> 29 [size =\"13751296\"]\n  17 -> 31 [size =\"13751296\"]\n  17 -> 32 [size =\"13751296\"]\n  17 -> 33 [size =\"13751296\"]\n  18 [size=\"70018560\", alpha=\"0.12\", expect_size=\"28007424\"] \n  18 -> 23 [size =\"28007424\"]\n  18 -> 26 [size =\"28007424\"]\n  18 -> 28 [size =\"28007424\"]\n  18 -> 29 [size =\"28007424\"]\n  18 -> 31 [size =\"28007424\"]\n  18 -> 32 [size =\"28007424\"]\n  18 -> 33 [size =\"28007424\"]\n  18 -> 35 [size =\"28007424\"]\n  19 [size=\"76008960\", alpha=\"0.15\", expect_size=\"30403584\"] \n  19 -> 23 [size =\"30403584\"]\n  19 -> 32 [size =\"30403584\"]\n  19 -> 33 [size =\"30403584\"]\n  19 -> 34 [size =\"30403584\"]\n  19 -> 35 [size =\"30403584\"]\n  20 [size=\"82078720\", alpha=\"0.06\", expect_size=\"32831488\"] \n  20 -> 26 [size =\"32831488\"]\n  20 -> 28 [size =\"32831488\"]\n  20 -> 32 [size =\"32831488\"]\n  20 -> 33 [size =\"32831488\"]\n  21 [size=\"123082240\", alpha=\"0.02\", expect_size=\"49232896\"] \n  21 -> 26 [size =\"49232896\"]\n  21 -> 27 [size =\"49232896\"]\n  21 -> 31 [size =\"49232896\"]\n  21 -> 33 [size =\"49232896\"]\n  21 -> 34 [size =\"49232896\"]\n  22 [size=\"60810240\", alpha=\"0.17\", expect_size=\"24324096\"] \n  22 -> 33 [size =\"24324096\"]\n  23 [size=\"24960000\", alpha=\"0.18\", expect_size=\"9984000\"] \n  23 -> 36 [size =\"9984000\"]\n  23 -> 37 [size =\"9984000\"]\n  23 -> 38 [size =\"9984000\"]\n  23 -> 39 [size =\"9984000\"]\n  23 -> 40 [size =\"9984000\"]\n  23 -> 42 [size =\"9984000\"]\n  23 -> 44 [size =\"9984000\"]\n  23 -> 45 [size =\"9984000\"]\n  23 -> 47 [size =\"9984000\"]\n  23 -> 48 [size =\"9984000\"]\n  24 [size=\"130803200\", alpha=\"0.13\", expect_size=\"52321280\"] \n  24 -> 40 [size =\"52321280\"]\n  24 -> 43 [size =\"52321280\"]\n  24 -> 44 [size =\"52321280\"]\n  24 -> 46 [size =\"52321280\"]\n  24 -> 47 [size =\"52321280\"]\n  24 -> 48 [size =\"52321280\"]\n  25 [size=\"111823360\", alpha=\"0.09\", expect_size=\"44729344\"] \n  25 -> 37 [size =\"44729344\"]\n  25 -> 39 [size =\"44729344\"]\n  25 -> 40 [size =\"44729344\"]\n  25 -> 43 [size =\"44729344\"]\n  25 -> 44 [size =\"44729344\"]\n  25 -> 46 [size =\"44729344\"]\n  25 -> 48 [size =\"44729344\"]\n  26 [size=\"63616000\", alpha=\"0.20\", expect_size=\"25446400\"] \n  26 -> 37 [size =\"25446400\"]\n  26 -> 42 [size =\"25446400\"]\n  26 -> 44 [size =\"25446400\"]\n  26 -> 47 [size =\"25446400\"]\n  26 -> 48 [size =\"25446400\"]\n  27 [size=\"32040960\", alpha=\"0.06\", expect_size=\"12816384\"] \n  27 -> 37 [size =\"12816384\"]\n  27 -> 42 [size =\"12816384\"]\n  27 -> 44 [size =\"12816384\"]\n  27 -> 46 [size =\"12816384\"]\n  27 -> 47 [size =\"12816384\"]\n  27 -> 48 [size =\"12816384\"]\n  28 [size=\"129497600\", alpha=\"0.17\", expect_size=\"51799040\"] \n  28 -> 36 [size =\"51799040\"]\n  28 -> 42 [size =\"51799040\"]\n  28 -> 46 [size =\"51799040\"]\n  28 -> 47 [size =\"51799040\"]\n  28 -> 48 [size =\"51799040\"]\n  29 [size=\"81141760\", alpha=\"0.16\", expect_size=\"32456704\"] \n  29 -> 39 [size =\"32456704\"]\n  29 -> 43 [size =\"32456704\"]\n  29 -> 44 [size =\"32456704\"]\n  29 -> 46 [size =\"32456704\"]\n  30 [size=\"50785280\", alpha=\"0.07\", expect_size=\"20314112\"] \n  30 -> 39 [size =\"20314112\"]\n  30 -> 41 [size =\"20314112\"]\n  31 [size=\"83230720\", alpha=\"0.03\", expect_size=\"33292288\"] \n  31 -> 36 [size =\"33292288\"]\n  31 -> 37 [size =\"33292288\"]\n  31 -> 38 [size =\"33292288\"]\n  31 -> 39 [size =\"33292288\"]\n  31 -> 42 [size =\"33292288\"]\n  31 -> 44 [size =\"33292288\"]\n  31 -> 48 [size =\"33292288\"]\n  32 [size=\"94353920\", alpha=\"0.16\", expect_size=\"37741568\"] \n  32 -> 37 [size =\"37741568\"]\n  32 -> 39 [size =\"37741568\"]\n  32 -> 42 [size =\"37741568\"]\n  32 -> 46 [size =\"37741568\"]\n  32 -> 47 [size =\"37741568\"]\n  32 -> 48 [size =\"37741568\"]\n  33 [size=\"78727680\", alpha=\"0.03\", expect_size=\"31491072\"] \n  33 -> 39 [size =\"31491072\"]\n  33 -> 39 [size =\"31491072\"]\n  33 -> 42 [size =\"31491072\"]\n  33 -> 43 [size =\"31491072\"]\n  33 -> 46 [size =\"31491072\"]\n  33 -> 47 [size =\"31491072\"]\n  34 [size=\"69544960\", alpha=\"0.04\", expect_size=\"27817984\"] \n  34 -> 42 [size =\"27817984\"]\n  34 -> 47 [size =\"27817984\"]\n  35 [size=\"30517760\", alpha=\"0.18\", expect_size=\"12207104\"] \n  35 -> 36 [size =\"12207104\"]\n  35 -> 37 [size =\"12207104\"]\n  35 -> 39 [size =\"12207104\"]\n  35 -> 43 [size =\"12207104\"]\n  35 -> 44 [size =\"12207104\"]\n  35 -> 48 [size =\"12207104\"]\n  36 [size=\"82844160\", alpha=\"0.16\", expect_size=\"33137664\"] \n  36 -> 49 [size =\"33137664\"]\n  37 [size=\"81661440\", alpha=\"0.18\", expect_size=\"32664576\"] \n  38 [size=\"114869760\", alpha=\"0.09\", expect_size=\"45947904\"] \n  38 -> 50 [size =\"45947904\"]\n  39 [size=\"97978880\", alpha=\"0.11\", expect_size=\"39191552\"] \n  40 [size=\"76008960\", alpha=\"0.05\", expect_size=\"30403584\"] \n  40 -> 50 [size =\"30403584\"]\n  41 [size=\"119206400\", alpha=\"0.18\", expect_size=\"47682560\"] \n  41 -> 50 [size =\"47682560\"]\n  42 [size=\"20221440\", alpha=\"0.18\", expect_size=\"8088576\"] \n  42 -> 49 [size =\"8088576\"]\n  42 -> 50 [size =\"8088576\"]\n  43 [size=\"117004800\", alpha=\"0.01\", expect_size=\"46801920\"] \n  44 [size=\"17848320\", alpha=\"0.03\", expect_size=\"7139328\"] \n  45 [size=\"43573760\", alpha=\"0.03\", expect_size=\"17429504\"] \n  46 [size=\"28887040\", alpha=\"0.11\", expect_size=\"11554816\"] \n  46 -> 49 [size =\"11554816\"]\n  47 [size=\"121799680\", alpha=\"0.02\", expect_size=\"48719872\"] \n  48 [size=\"107653120\", alpha=\"0.12\", expect_size=\"43061248\"] \n  48 -> 49 [size =\"43061248\"]\n  49 [size=\"43361280\", alpha=\"0.15\", expect_size=\"17344512\"] \n  50 [size=\"109793280\", alpha=\"0.03\", expect_size=\"43917312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.521.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26504533\", alpha=\"0.08\", expect_size=\"7951360\"] \n  1 -> 18 [size =\"7951360\"]\n  1 -> 19 [size =\"7951360\"]\n  1 -> 21 [size =\"7951360\"]\n  1 -> 24 [size =\"7951360\"]\n  1 -> 26 [size =\"7951360\"]\n  1 -> 27 [size =\"7951360\"]\n  2 [size=\"140663467\", alpha=\"0.20\", expect_size=\"42199040\"] \n  2 -> 15 [size =\"42199040\"]\n  2 -> 19 [size =\"42199040\"]\n  2 -> 20 [size =\"42199040\"]\n  2 -> 22 [size =\"42199040\"]\n  2 -> 24 [size =\"42199040\"]\n  2 -> 26 [size =\"42199040\"]\n  2 -> 27 [size =\"42199040\"]\n  2 -> 28 [size =\"42199040\"]\n  3 [size=\"81411413\", alpha=\"0.16\", expect_size=\"24423424\"] \n  3 -> 16 [size =\"24423424\"]\n  3 -> 19 [size =\"24423424\"]\n  3 -> 20 [size =\"24423424\"]\n  3 -> 22 [size =\"24423424\"]\n  3 -> 24 [size =\"24423424\"]\n  3 -> 26 [size =\"24423424\"]\n  3 -> 27 [size =\"24423424\"]\n  4 [size=\"19708587\", alpha=\"0.12\", expect_size=\"5912576\"] \n  4 -> 19 [size =\"5912576\"]\n  4 -> 20 [size =\"5912576\"]\n  4 -> 22 [size =\"5912576\"]\n  4 -> 22 [size =\"5912576\"]\n  4 -> 23 [size =\"5912576\"]\n  4 -> 24 [size =\"5912576\"]\n  4 -> 26 [size =\"5912576\"]\n  4 -> 28 [size =\"5912576\"]\n  5 [size=\"21169493\", alpha=\"0.00\", expect_size=\"6350848\"] \n  5 -> 16 [size =\"6350848\"]\n  5 -> 19 [size =\"6350848\"]\n  5 -> 20 [size =\"6350848\"]\n  5 -> 21 [size =\"6350848\"]\n  5 -> 22 [size =\"6350848\"]\n  5 -> 24 [size =\"6350848\"]\n  5 -> 27 [size =\"6350848\"]\n  6 [size=\"37079040\", alpha=\"0.18\", expect_size=\"11123712\"] \n  6 -> 15 [size =\"11123712\"]\n  6 -> 19 [size =\"11123712\"]\n  6 -> 22 [size =\"11123712\"]\n  7 [size=\"59245227\", alpha=\"0.13\", expect_size=\"17773568\"] \n  7 -> 15 [size =\"17773568\"]\n  7 -> 19 [size =\"17773568\"]\n  7 -> 22 [size =\"17773568\"]\n  7 -> 26 [size =\"17773568\"]\n  7 -> 27 [size =\"17773568\"]\n  7 -> 28 [size =\"17773568\"]\n  8 [size=\"38481920\", alpha=\"0.01\", expect_size=\"11544576\"] \n  8 -> 19 [size =\"11544576\"]\n  8 -> 19 [size =\"11544576\"]\n  8 -> 20 [size =\"11544576\"]\n  8 -> 21 [size =\"11544576\"]\n  8 -> 22 [size =\"11544576\"]\n  8 -> 23 [size =\"11544576\"]\n  8 -> 24 [size =\"11544576\"]\n  8 -> 26 [size =\"11544576\"]\n  8 -> 27 [size =\"11544576\"]\n  8 -> 28 [size =\"11544576\"]\n  9 [size=\"159764480\", alpha=\"0.14\", expect_size=\"47929344\"] \n  9 -> 17 [size =\"47929344\"]\n  9 -> 19 [size =\"47929344\"]\n  9 -> 21 [size =\"47929344\"]\n  9 -> 21 [size =\"47929344\"]\n  9 -> 22 [size =\"47929344\"]\n  9 -> 24 [size =\"47929344\"]\n  9 -> 24 [size =\"47929344\"]\n  9 -> 25 [size =\"47929344\"]\n  9 -> 26 [size =\"47929344\"]\n  9 -> 27 [size =\"47929344\"]\n  10 [size=\"38625280\", alpha=\"0.16\", expect_size=\"11587584\"] \n  10 -> 15 [size =\"11587584\"]\n  10 -> 21 [size =\"11587584\"]\n  10 -> 22 [size =\"11587584\"]\n  10 -> 24 [size =\"11587584\"]\n  10 -> 26 [size =\"11587584\"]\n  11 [size=\"67160747\", alpha=\"0.12\", expect_size=\"20148224\"] \n  11 -> 15 [size =\"20148224\"]\n  11 -> 19 [size =\"20148224\"]\n  11 -> 24 [size =\"20148224\"]\n  11 -> 26 [size =\"20148224\"]\n  11 -> 27 [size =\"20148224\"]\n  12 [size=\"126733653\", alpha=\"0.06\", expect_size=\"38020096\"] \n  12 -> 15 [size =\"38020096\"]\n  12 -> 19 [size =\"38020096\"]\n  12 -> 21 [size =\"38020096\"]\n  12 -> 23 [size =\"38020096\"]\n  12 -> 24 [size =\"38020096\"]\n  12 -> 26 [size =\"38020096\"]\n  12 -> 27 [size =\"38020096\"]\n  13 [size=\"125446827\", alpha=\"0.01\", expect_size=\"37634048\"] \n  13 -> 19 [size =\"37634048\"]\n  13 -> 21 [size =\"37634048\"]\n  13 -> 26 [size =\"37634048\"]\n  13 -> 27 [size =\"37634048\"]\n  13 -> 28 [size =\"37634048\"]\n  14 [size=\"97085440\", alpha=\"0.03\", expect_size=\"29125632\"] \n  14 -> 15 [size =\"29125632\"]\n  14 -> 16 [size =\"29125632\"]\n  14 -> 23 [size =\"29125632\"]\n  14 -> 24 [size =\"29125632\"]\n  14 -> 26 [size =\"29125632\"]\n  14 -> 27 [size =\"29125632\"]\n  15 [size=\"32030720\", alpha=\"0.12\", expect_size=\"9609216\"] \n  15 -> 30 [size =\"9609216\"]\n  15 -> 36 [size =\"9609216\"]\n  15 -> 41 [size =\"9609216\"]\n  16 [size=\"32129707\", alpha=\"0.10\", expect_size=\"9638912\"] \n  16 -> 32 [size =\"9638912\"]\n  16 -> 35 [size =\"9638912\"]\n  16 -> 36 [size =\"9638912\"]\n  16 -> 41 [size =\"9638912\"]\n  17 [size=\"172148053\", alpha=\"0.12\", expect_size=\"51644416\"] \n  17 -> 35 [size =\"51644416\"]\n  17 -> 37 [size =\"51644416\"]\n  17 -> 40 [size =\"51644416\"]\n  18 [size=\"120763733\", alpha=\"0.16\", expect_size=\"36229120\"] \n  18 -> 29 [size =\"36229120\"]\n  18 -> 31 [size =\"36229120\"]\n  18 -> 32 [size =\"36229120\"]\n  18 -> 35 [size =\"36229120\"]\n  18 -> 40 [size =\"36229120\"]\n  18 -> 41 [size =\"36229120\"]\n  19 [size=\"126842880\", alpha=\"0.10\", expect_size=\"38052864\"] \n  19 -> 29 [size =\"38052864\"]\n  19 -> 30 [size =\"38052864\"]\n  19 -> 32 [size =\"38052864\"]\n  19 -> 36 [size =\"38052864\"]\n  19 -> 39 [size =\"38052864\"]\n  19 -> 41 [size =\"38052864\"]\n  20 [size=\"81923413\", alpha=\"0.13\", expect_size=\"24577024\"] \n  20 -> 30 [size =\"24577024\"]\n  20 -> 34 [size =\"24577024\"]\n  20 -> 35 [size =\"24577024\"]\n  21 [size=\"53701973\", alpha=\"0.18\", expect_size=\"16110592\"] \n  21 -> 32 [size =\"16110592\"]\n  21 -> 33 [size =\"16110592\"]\n  21 -> 35 [size =\"16110592\"]\n  21 -> 41 [size =\"16110592\"]\n  22 [size=\"147735893\", alpha=\"0.18\", expect_size=\"44320768\"] \n  22 -> 29 [size =\"44320768\"]\n  22 -> 35 [size =\"44320768\"]\n  22 -> 41 [size =\"44320768\"]\n  23 [size=\"38420480\", alpha=\"0.06\", expect_size=\"11526144\"] \n  23 -> 30 [size =\"11526144\"]\n  23 -> 35 [size =\"11526144\"]\n  23 -> 36 [size =\"11526144\"]\n  23 -> 37 [size =\"11526144\"]\n  23 -> 39 [size =\"11526144\"]\n  24 [size=\"45953707\", alpha=\"0.14\", expect_size=\"13786112\"] \n  24 -> 29 [size =\"13786112\"]\n  24 -> 30 [size =\"13786112\"]\n  24 -> 31 [size =\"13786112\"]\n  24 -> 32 [size =\"13786112\"]\n  24 -> 35 [size =\"13786112\"]\n  24 -> 39 [size =\"13786112\"]\n  25 [size=\"72738133\", alpha=\"0.03\", expect_size=\"21821440\"] \n  25 -> 32 [size =\"21821440\"]\n  25 -> 35 [size =\"21821440\"]\n  25 -> 37 [size =\"21821440\"]\n  25 -> 39 [size =\"21821440\"]\n  26 [size=\"164420267\", alpha=\"0.14\", expect_size=\"49326080\"] \n  26 -> 29 [size =\"49326080\"]\n  26 -> 32 [size =\"49326080\"]\n  26 -> 35 [size =\"49326080\"]\n  26 -> 37 [size =\"49326080\"]\n  26 -> 38 [size =\"49326080\"]\n  26 -> 39 [size =\"49326080\"]\n  26 -> 40 [size =\"49326080\"]\n  26 -> 41 [size =\"49326080\"]\n  27 [size=\"88070827\", alpha=\"0.11\", expect_size=\"26421248\"] \n  27 -> 29 [size =\"26421248\"]\n  27 -> 31 [size =\"26421248\"]\n  27 -> 32 [size =\"26421248\"]\n  27 -> 35 [size =\"26421248\"]\n  27 -> 37 [size =\"26421248\"]\n  27 -> 39 [size =\"26421248\"]\n  28 [size=\"26746880\", alpha=\"0.10\", expect_size=\"8024064\"] \n  28 -> 31 [size =\"8024064\"]\n  28 -> 32 [size =\"8024064\"]\n  28 -> 39 [size =\"8024064\"]\n  28 -> 41 [size =\"8024064\"]\n  29 [size=\"151722667\", alpha=\"0.08\", expect_size=\"45516800\"] \n  29 -> 43 [size =\"45516800\"]\n  29 -> 46 [size =\"45516800\"]\n  29 -> 48 [size =\"45516800\"]\n  29 -> 49 [size =\"45516800\"]\n  29 -> 50 [size =\"45516800\"]\n  30 [size=\"75670187\", alpha=\"0.08\", expect_size=\"22701056\"] \n  30 -> 43 [size =\"22701056\"]\n  30 -> 44 [size =\"22701056\"]\n  30 -> 49 [size =\"22701056\"]\n  30 -> 50 [size =\"22701056\"]\n  31 [size=\"24316587\", alpha=\"0.14\", expect_size=\"7294976\"] \n  31 -> 43 [size =\"7294976\"]\n  31 -> 45 [size =\"7294976\"]\n  31 -> 46 [size =\"7294976\"]\n  31 -> 49 [size =\"7294976\"]\n  31 -> 50 [size =\"7294976\"]\n  32 [size=\"163986773\", alpha=\"0.15\", expect_size=\"49196032\"] \n  32 -> 42 [size =\"49196032\"]\n  32 -> 43 [size =\"49196032\"]\n  32 -> 49 [size =\"49196032\"]\n  33 [size=\"146001920\", alpha=\"0.09\", expect_size=\"43800576\"] \n  33 -> 49 [size =\"43800576\"]\n  33 -> 50 [size =\"43800576\"]\n  34 [size=\"34304000\", alpha=\"0.13\", expect_size=\"10291200\"] \n  34 -> 43 [size =\"10291200\"]\n  34 -> 44 [size =\"10291200\"]\n  34 -> 49 [size =\"10291200\"]\n  35 [size=\"145701547\", alpha=\"0.19\", expect_size=\"43710464\"] \n  35 -> 43 [size =\"43710464\"]\n  35 -> 44 [size =\"43710464\"]\n  35 -> 47 [size =\"43710464\"]\n  35 -> 49 [size =\"43710464\"]\n  36 [size=\"169311573\", alpha=\"0.07\", expect_size=\"50793472\"] \n  36 -> 43 [size =\"50793472\"]\n  36 -> 45 [size =\"50793472\"]\n  36 -> 46 [size =\"50793472\"]\n  36 -> 49 [size =\"50793472\"]\n  36 -> 50 [size =\"50793472\"]\n  37 [size=\"124743680\", alpha=\"0.14\", expect_size=\"37423104\"] \n  37 -> 43 [size =\"37423104\"]\n  37 -> 45 [size =\"37423104\"]\n  37 -> 46 [size =\"37423104\"]\n  38 [size=\"53766827\", alpha=\"0.15\", expect_size=\"16130048\"] \n  38 -> 43 [size =\"16130048\"]\n  38 -> 44 [size =\"16130048\"]\n  38 -> 47 [size =\"16130048\"]\n  39 [size=\"134676480\", alpha=\"0.09\", expect_size=\"40402944\"] \n  39 -> 43 [size =\"40402944\"]\n  39 -> 44 [size =\"40402944\"]\n  39 -> 45 [size =\"40402944\"]\n  39 -> 46 [size =\"40402944\"]\n  40 [size=\"37898240\", alpha=\"0.12\", expect_size=\"11369472\"] \n  40 -> 43 [size =\"11369472\"]\n  40 -> 50 [size =\"11369472\"]\n  41 [size=\"99153920\", alpha=\"0.20\", expect_size=\"29746176\"] \n  41 -> 43 [size =\"29746176\"]\n  41 -> 46 [size =\"29746176\"]\n  41 -> 47 [size =\"29746176\"]\n  41 -> 49 [size =\"29746176\"]\n  41 -> 50 [size =\"29746176\"]\n  42 [size=\"53565440\", alpha=\"0.03\", expect_size=\"16069632\"] \n  43 [size=\"167673173\", alpha=\"0.10\", expect_size=\"50301952\"] \n  44 [size=\"77591893\", alpha=\"0.00\", expect_size=\"23277568\"] \n  45 [size=\"20217173\", alpha=\"0.18\", expect_size=\"6065152\"] \n  46 [size=\"167396693\", alpha=\"0.14\", expect_size=\"50219008\"] \n  47 [size=\"61924693\", alpha=\"0.18\", expect_size=\"18577408\"] \n  48 [size=\"173049173\", alpha=\"0.05\", expect_size=\"51914752\"] \n  49 [size=\"132198400\", alpha=\"0.08\", expect_size=\"39659520\"] \n  50 [size=\"48742400\", alpha=\"0.18\", expect_size=\"14622720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.522.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25411584\", alpha=\"0.11\", expect_size=\"12705792\"] \n  1 -> 16 [size =\"12705792\"]\n  1 -> 22 [size =\"12705792\"]\n  1 -> 25 [size =\"12705792\"]\n  1 -> 26 [size =\"12705792\"]\n  2 [size=\"15132672\", alpha=\"0.20\", expect_size=\"7566336\"] \n  2 -> 16 [size =\"7566336\"]\n  2 -> 17 [size =\"7566336\"]\n  2 -> 19 [size =\"7566336\"]\n  2 -> 22 [size =\"7566336\"]\n  2 -> 25 [size =\"7566336\"]\n  2 -> 26 [size =\"7566336\"]\n  3 [size=\"100929536\", alpha=\"0.14\", expect_size=\"50464768\"] \n  3 -> 18 [size =\"50464768\"]\n  3 -> 22 [size =\"50464768\"]\n  3 -> 25 [size =\"50464768\"]\n  3 -> 26 [size =\"50464768\"]\n  4 [size=\"87775232\", alpha=\"0.07\", expect_size=\"43887616\"] \n  4 -> 17 [size =\"43887616\"]\n  4 -> 18 [size =\"43887616\"]\n  4 -> 22 [size =\"43887616\"]\n  4 -> 23 [size =\"43887616\"]\n  5 [size=\"67696640\", alpha=\"0.03\", expect_size=\"33848320\"] \n  5 -> 17 [size =\"33848320\"]\n  5 -> 18 [size =\"33848320\"]\n  5 -> 27 [size =\"33848320\"]\n  6 [size=\"65939456\", alpha=\"0.04\", expect_size=\"32969728\"] \n  6 -> 18 [size =\"32969728\"]\n  7 [size=\"102313984\", alpha=\"0.11\", expect_size=\"51156992\"] \n  7 -> 20 [size =\"51156992\"]\n  7 -> 21 [size =\"51156992\"]\n  7 -> 25 [size =\"51156992\"]\n  7 -> 27 [size =\"51156992\"]\n  7 -> 28 [size =\"51156992\"]\n  8 [size=\"104708096\", alpha=\"0.04\", expect_size=\"52354048\"] \n  8 -> 15 [size =\"52354048\"]\n  8 -> 17 [size =\"52354048\"]\n  8 -> 18 [size =\"52354048\"]\n  8 -> 19 [size =\"52354048\"]\n  8 -> 20 [size =\"52354048\"]\n  8 -> 22 [size =\"52354048\"]\n  8 -> 24 [size =\"52354048\"]\n  8 -> 26 [size =\"52354048\"]\n  8 -> 28 [size =\"52354048\"]\n  9 [size=\"52672512\", alpha=\"0.18\", expect_size=\"26336256\"] \n  9 -> 17 [size =\"26336256\"]\n  9 -> 20 [size =\"26336256\"]\n  9 -> 24 [size =\"26336256\"]\n  9 -> 28 [size =\"26336256\"]\n  10 [size=\"88328192\", alpha=\"0.16\", expect_size=\"44164096\"] \n  10 -> 17 [size =\"44164096\"]\n  10 -> 20 [size =\"44164096\"]\n  10 -> 22 [size =\"44164096\"]\n  10 -> 27 [size =\"44164096\"]\n  11 [size=\"97720320\", alpha=\"0.08\", expect_size=\"48860160\"] \n  11 -> 17 [size =\"48860160\"]\n  11 -> 18 [size =\"48860160\"]\n  11 -> 20 [size =\"48860160\"]\n  11 -> 28 [size =\"48860160\"]\n  12 [size=\"54491136\", alpha=\"0.19\", expect_size=\"27245568\"] \n  12 -> 16 [size =\"27245568\"]\n  12 -> 18 [size =\"27245568\"]\n  12 -> 19 [size =\"27245568\"]\n  12 -> 25 [size =\"27245568\"]\n  12 -> 27 [size =\"27245568\"]\n  12 -> 28 [size =\"27245568\"]\n  13 [size=\"54163456\", alpha=\"0.03\", expect_size=\"27081728\"] \n  13 -> 19 [size =\"27081728\"]\n  13 -> 24 [size =\"27081728\"]\n  13 -> 25 [size =\"27081728\"]\n  13 -> 27 [size =\"27081728\"]\n  14 [size=\"28094464\", alpha=\"0.05\", expect_size=\"14047232\"] \n  14 -> 20 [size =\"14047232\"]\n  14 -> 22 [size =\"14047232\"]\n  14 -> 27 [size =\"14047232\"]\n  14 -> 28 [size =\"14047232\"]\n  15 [size=\"60176384\", alpha=\"0.05\", expect_size=\"30088192\"] \n  15 -> 29 [size =\"30088192\"]\n  15 -> 31 [size =\"30088192\"]\n  15 -> 33 [size =\"30088192\"]\n  15 -> 38 [size =\"30088192\"]\n  15 -> 40 [size =\"30088192\"]\n  16 [size=\"74833920\", alpha=\"0.02\", expect_size=\"37416960\"] \n  16 -> 29 [size =\"37416960\"]\n  16 -> 31 [size =\"37416960\"]\n  16 -> 34 [size =\"37416960\"]\n  16 -> 44 [size =\"37416960\"]\n  17 [size=\"94697472\", alpha=\"0.18\", expect_size=\"47348736\"] \n  17 -> 37 [size =\"47348736\"]\n  17 -> 40 [size =\"47348736\"]\n  17 -> 44 [size =\"47348736\"]\n  18 [size=\"51771392\", alpha=\"0.07\", expect_size=\"25885696\"] \n  18 -> 32 [size =\"25885696\"]\n  18 -> 40 [size =\"25885696\"]\n  18 -> 44 [size =\"25885696\"]\n  19 [size=\"71120896\", alpha=\"0.09\", expect_size=\"35560448\"] \n  19 -> 33 [size =\"35560448\"]\n  19 -> 34 [size =\"35560448\"]\n  19 -> 36 [size =\"35560448\"]\n  19 -> 43 [size =\"35560448\"]\n  20 [size=\"61945856\", alpha=\"0.19\", expect_size=\"30972928\"] \n  20 -> 34 [size =\"30972928\"]\n  20 -> 37 [size =\"30972928\"]\n  20 -> 43 [size =\"30972928\"]\n  20 -> 44 [size =\"30972928\"]\n  21 [size=\"45256704\", alpha=\"0.12\", expect_size=\"22628352\"] \n  21 -> 33 [size =\"22628352\"]\n  21 -> 42 [size =\"22628352\"]\n  21 -> 44 [size =\"22628352\"]\n  21 -> 44 [size =\"22628352\"]\n  22 [size=\"85213184\", alpha=\"0.06\", expect_size=\"42606592\"] \n  22 -> 29 [size =\"42606592\"]\n  22 -> 31 [size =\"42606592\"]\n  22 -> 33 [size =\"42606592\"]\n  22 -> 43 [size =\"42606592\"]\n  23 [size=\"81526784\", alpha=\"0.20\", expect_size=\"40763392\"] \n  23 -> 29 [size =\"40763392\"]\n  23 -> 30 [size =\"40763392\"]\n  23 -> 31 [size =\"40763392\"]\n  23 -> 35 [size =\"40763392\"]\n  23 -> 41 [size =\"40763392\"]\n  24 [size=\"97773568\", alpha=\"0.09\", expect_size=\"48886784\"] \n  24 -> 29 [size =\"48886784\"]\n  24 -> 34 [size =\"48886784\"]\n  24 -> 40 [size =\"48886784\"]\n  24 -> 41 [size =\"48886784\"]\n  24 -> 43 [size =\"48886784\"]\n  25 [size=\"26083328\", alpha=\"0.11\", expect_size=\"13041664\"] \n  25 -> 38 [size =\"13041664\"]\n  25 -> 41 [size =\"13041664\"]\n  26 [size=\"48146432\", alpha=\"0.05\", expect_size=\"24073216\"] \n  26 -> 37 [size =\"24073216\"]\n  26 -> 38 [size =\"24073216\"]\n  26 -> 39 [size =\"24073216\"]\n  26 -> 41 [size =\"24073216\"]\n  27 [size=\"56985600\", alpha=\"0.18\", expect_size=\"28492800\"] \n  27 -> 37 [size =\"28492800\"]\n  27 -> 39 [size =\"28492800\"]\n  28 [size=\"48349184\", alpha=\"0.11\", expect_size=\"24174592\"] \n  28 -> 29 [size =\"24174592\"]\n  28 -> 31 [size =\"24174592\"]\n  29 [size=\"80650240\", alpha=\"0.13\", expect_size=\"40325120\"] \n  29 -> 46 [size =\"40325120\"]\n  29 -> 49 [size =\"40325120\"]\n  30 [size=\"27389952\", alpha=\"0.12\", expect_size=\"13694976\"] \n  30 -> 47 [size =\"13694976\"]\n  30 -> 50 [size =\"13694976\"]\n  31 [size=\"21710848\", alpha=\"0.09\", expect_size=\"10855424\"] \n  31 -> 50 [size =\"10855424\"]\n  32 [size=\"78542848\", alpha=\"0.15\", expect_size=\"39271424\"] \n  32 -> 46 [size =\"39271424\"]\n  32 -> 50 [size =\"39271424\"]\n  33 [size=\"13787136\", alpha=\"0.11\", expect_size=\"6893568\"] \n  33 -> 46 [size =\"6893568\"]\n  33 -> 47 [size =\"6893568\"]\n  33 -> 50 [size =\"6893568\"]\n  34 [size=\"12261376\", alpha=\"0.10\", expect_size=\"6130688\"] \n  34 -> 46 [size =\"6130688\"]\n  34 -> 48 [size =\"6130688\"]\n  34 -> 50 [size =\"6130688\"]\n  35 [size=\"56883200\", alpha=\"0.20\", expect_size=\"28441600\"] \n  36 [size=\"16123904\", alpha=\"0.03\", expect_size=\"8061952\"] \n  36 -> 45 [size =\"8061952\"]\n  36 -> 47 [size =\"8061952\"]\n  36 -> 50 [size =\"8061952\"]\n  37 [size=\"39809024\", alpha=\"0.05\", expect_size=\"19904512\"] \n  37 -> 45 [size =\"19904512\"]\n  38 [size=\"31021056\", alpha=\"0.15\", expect_size=\"15510528\"] \n  38 -> 45 [size =\"15510528\"]\n  38 -> 46 [size =\"15510528\"]\n  39 [size=\"83986432\", alpha=\"0.18\", expect_size=\"41993216\"] \n  40 [size=\"52146176\", alpha=\"0.12\", expect_size=\"26073088\"] \n  40 -> 47 [size =\"26073088\"]\n  40 -> 50 [size =\"26073088\"]\n  41 [size=\"13346816\", alpha=\"0.13\", expect_size=\"6673408\"] \n  41 -> 50 [size =\"6673408\"]\n  42 [size=\"54822912\", alpha=\"0.10\", expect_size=\"27411456\"] \n  42 -> 47 [size =\"27411456\"]\n  43 [size=\"31838208\", alpha=\"0.02\", expect_size=\"15919104\"] \n  43 -> 46 [size =\"15919104\"]\n  43 -> 47 [size =\"15919104\"]\n  44 [size=\"82444288\", alpha=\"0.13\", expect_size=\"41222144\"] \n  44 -> 47 [size =\"41222144\"]\n  44 -> 48 [size =\"41222144\"]\n  44 -> 49 [size =\"41222144\"]\n  45 [size=\"35506176\", alpha=\"0.07\", expect_size=\"17753088\"] \n  46 [size=\"35088384\", alpha=\"0.08\", expect_size=\"17544192\"] \n  47 [size=\"51167232\", alpha=\"0.00\", expect_size=\"25583616\"] \n  48 [size=\"73584640\", alpha=\"0.20\", expect_size=\"36792320\"] \n  49 [size=\"49254400\", alpha=\"0.15\", expect_size=\"24627200\"] \n  50 [size=\"38813696\", alpha=\"0.13\", expect_size=\"19406848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.523.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38301013\", alpha=\"0.08\", expect_size=\"11490304\"] \n  1 -> 39 [size =\"11490304\"]\n  1 -> 41 [size =\"11490304\"]\n  1 -> 43 [size =\"11490304\"]\n  1 -> 49 [size =\"11490304\"]\n  2 [size=\"172438187\", alpha=\"0.15\", expect_size=\"51731456\"] \n  2 -> 38 [size =\"51731456\"]\n  2 -> 39 [size =\"51731456\"]\n  2 -> 40 [size =\"51731456\"]\n  2 -> 41 [size =\"51731456\"]\n  2 -> 43 [size =\"51731456\"]\n  2 -> 44 [size =\"51731456\"]\n  2 -> 49 [size =\"51731456\"]\n  3 [size=\"58620587\", alpha=\"0.20\", expect_size=\"17586176\"] \n  3 -> 41 [size =\"17586176\"]\n  3 -> 42 [size =\"17586176\"]\n  3 -> 44 [size =\"17586176\"]\n  3 -> 49 [size =\"17586176\"]\n  4 [size=\"74291200\", alpha=\"0.01\", expect_size=\"22287360\"] \n  4 -> 41 [size =\"22287360\"]\n  4 -> 47 [size =\"22287360\"]\n  4 -> 48 [size =\"22287360\"]\n  4 -> 49 [size =\"22287360\"]\n  5 [size=\"102007467\", alpha=\"0.17\", expect_size=\"30602240\"] \n  5 -> 36 [size =\"30602240\"]\n  5 -> 39 [size =\"30602240\"]\n  5 -> 41 [size =\"30602240\"]\n  5 -> 50 [size =\"30602240\"]\n  6 [size=\"25931093\", alpha=\"0.05\", expect_size=\"7779328\"] \n  6 -> 41 [size =\"7779328\"]\n  6 -> 42 [size =\"7779328\"]\n  6 -> 48 [size =\"7779328\"]\n  6 -> 50 [size =\"7779328\"]\n  7 [size=\"120176640\", alpha=\"0.06\", expect_size=\"36052992\"] \n  8 [size=\"143834453\", alpha=\"0.18\", expect_size=\"43150336\"] \n  8 -> 39 [size =\"43150336\"]\n  8 -> 40 [size =\"43150336\"]\n  8 -> 41 [size =\"43150336\"]\n  8 -> 43 [size =\"43150336\"]\n  8 -> 50 [size =\"43150336\"]\n  9 [size=\"139728213\", alpha=\"0.16\", expect_size=\"41918464\"] \n  9 -> 36 [size =\"41918464\"]\n  9 -> 39 [size =\"41918464\"]\n  9 -> 42 [size =\"41918464\"]\n  9 -> 43 [size =\"41918464\"]\n  9 -> 45 [size =\"41918464\"]\n  9 -> 48 [size =\"41918464\"]\n  9 -> 49 [size =\"41918464\"]\n  9 -> 50 [size =\"41918464\"]\n  10 [size=\"151709013\", alpha=\"0.13\", expect_size=\"45512704\"] \n  10 -> 36 [size =\"45512704\"]\n  10 -> 40 [size =\"45512704\"]\n  10 -> 42 [size =\"45512704\"]\n  10 -> 43 [size =\"45512704\"]\n  10 -> 47 [size =\"45512704\"]\n  10 -> 48 [size =\"45512704\"]\n  10 -> 49 [size =\"45512704\"]\n  11 [size=\"161675947\", alpha=\"0.00\", expect_size=\"48502784\"] \n  11 -> 38 [size =\"48502784\"]\n  11 -> 39 [size =\"48502784\"]\n  11 -> 40 [size =\"48502784\"]\n  11 -> 42 [size =\"48502784\"]\n  11 -> 43 [size =\"48502784\"]\n  11 -> 49 [size =\"48502784\"]\n  12 [size=\"66420053\", alpha=\"0.10\", expect_size=\"19926016\"] \n  12 -> 38 [size =\"19926016\"]\n  12 -> 41 [size =\"19926016\"]\n  12 -> 42 [size =\"19926016\"]\n  12 -> 49 [size =\"19926016\"]\n  12 -> 50 [size =\"19926016\"]\n  13 [size=\"23845547\", alpha=\"0.07\", expect_size=\"7153664\"] \n  13 -> 36 [size =\"7153664\"]\n  13 -> 37 [size =\"7153664\"]\n  13 -> 38 [size =\"7153664\"]\n  13 -> 39 [size =\"7153664\"]\n  13 -> 41 [size =\"7153664\"]\n  13 -> 43 [size =\"7153664\"]\n  13 -> 50 [size =\"7153664\"]\n  14 [size=\"23220907\", alpha=\"0.03\", expect_size=\"6966272\"] \n  14 -> 36 [size =\"6966272\"]\n  14 -> 38 [size =\"6966272\"]\n  14 -> 39 [size =\"6966272\"]\n  14 -> 41 [size =\"6966272\"]\n  14 -> 42 [size =\"6966272\"]\n  14 -> 43 [size =\"6966272\"]\n  14 -> 48 [size =\"6966272\"]\n  15 [size=\"27262293\", alpha=\"0.07\", expect_size=\"8178688\"] \n  15 -> 40 [size =\"8178688\"]\n  15 -> 42 [size =\"8178688\"]\n  15 -> 43 [size =\"8178688\"]\n  15 -> 45 [size =\"8178688\"]\n  15 -> 48 [size =\"8178688\"]\n  15 -> 49 [size =\"8178688\"]\n  15 -> 50 [size =\"8178688\"]\n  16 [size=\"158132907\", alpha=\"0.05\", expect_size=\"47439872\"] \n  16 -> 36 [size =\"47439872\"]\n  16 -> 39 [size =\"47439872\"]\n  16 -> 41 [size =\"47439872\"]\n  16 -> 43 [size =\"47439872\"]\n  16 -> 49 [size =\"47439872\"]\n  16 -> 49 [size =\"47439872\"]\n  17 [size=\"37672960\", alpha=\"0.14\", expect_size=\"11301888\"] \n  17 -> 40 [size =\"11301888\"]\n  17 -> 43 [size =\"11301888\"]\n  17 -> 49 [size =\"11301888\"]\n  17 -> 50 [size =\"11301888\"]\n  18 [size=\"82220373\", alpha=\"0.03\", expect_size=\"24666112\"] \n  18 -> 38 [size =\"24666112\"]\n  18 -> 39 [size =\"24666112\"]\n  18 -> 40 [size =\"24666112\"]\n  18 -> 43 [size =\"24666112\"]\n  18 -> 49 [size =\"24666112\"]\n  18 -> 50 [size =\"24666112\"]\n  19 [size=\"68744533\", alpha=\"0.13\", expect_size=\"20623360\"] \n  19 -> 38 [size =\"20623360\"]\n  19 -> 43 [size =\"20623360\"]\n  19 -> 48 [size =\"20623360\"]\n  20 [size=\"39731200\", alpha=\"0.10\", expect_size=\"11919360\"] \n  20 -> 38 [size =\"11919360\"]\n  20 -> 39 [size =\"11919360\"]\n  20 -> 41 [size =\"11919360\"]\n  20 -> 43 [size =\"11919360\"]\n  20 -> 49 [size =\"11919360\"]\n  21 [size=\"138274133\", alpha=\"0.11\", expect_size=\"41482240\"] \n  21 -> 36 [size =\"41482240\"]\n  21 -> 38 [size =\"41482240\"]\n  21 -> 41 [size =\"41482240\"]\n  21 -> 44 [size =\"41482240\"]\n  22 [size=\"139246933\", alpha=\"0.10\", expect_size=\"41774080\"] \n  22 -> 39 [size =\"41774080\"]\n  22 -> 41 [size =\"41774080\"]\n  22 -> 50 [size =\"41774080\"]\n  23 [size=\"59340800\", alpha=\"0.15\", expect_size=\"17802240\"] \n  23 -> 40 [size =\"17802240\"]\n  23 -> 48 [size =\"17802240\"]\n  23 -> 50 [size =\"17802240\"]\n  24 [size=\"110793387\", alpha=\"0.08\", expect_size=\"33238016\"] \n  24 -> 38 [size =\"33238016\"]\n  24 -> 39 [size =\"33238016\"]\n  24 -> 40 [size =\"33238016\"]\n  24 -> 42 [size =\"33238016\"]\n  24 -> 50 [size =\"33238016\"]\n  25 [size=\"135376213\", alpha=\"0.11\", expect_size=\"40612864\"] \n  25 -> 36 [size =\"40612864\"]\n  25 -> 37 [size =\"40612864\"]\n  25 -> 38 [size =\"40612864\"]\n  25 -> 39 [size =\"40612864\"]\n  25 -> 40 [size =\"40612864\"]\n  25 -> 41 [size =\"40612864\"]\n  25 -> 42 [size =\"40612864\"]\n  25 -> 45 [size =\"40612864\"]\n  25 -> 48 [size =\"40612864\"]\n  26 [size=\"30832640\", alpha=\"0.15\", expect_size=\"9249792\"] \n  26 -> 36 [size =\"9249792\"]\n  26 -> 38 [size =\"9249792\"]\n  26 -> 39 [size =\"9249792\"]\n  26 -> 50 [size =\"9249792\"]\n  27 [size=\"72468480\", alpha=\"0.12\", expect_size=\"21740544\"] \n  27 -> 38 [size =\"21740544\"]\n  27 -> 40 [size =\"21740544\"]\n  27 -> 41 [size =\"21740544\"]\n  27 -> 42 [size =\"21740544\"]\n  27 -> 43 [size =\"21740544\"]\n  27 -> 47 [size =\"21740544\"]\n  27 -> 49 [size =\"21740544\"]\n  27 -> 50 [size =\"21740544\"]\n  28 [size=\"24347307\", alpha=\"0.05\", expect_size=\"7304192\"] \n  28 -> 38 [size =\"7304192\"]\n  28 -> 41 [size =\"7304192\"]\n  28 -> 42 [size =\"7304192\"]\n  28 -> 43 [size =\"7304192\"]\n  28 -> 49 [size =\"7304192\"]\n  28 -> 50 [size =\"7304192\"]\n  29 [size=\"49585493\", alpha=\"0.14\", expect_size=\"14875648\"] \n  29 -> 36 [size =\"14875648\"]\n  29 -> 38 [size =\"14875648\"]\n  29 -> 41 [size =\"14875648\"]\n  29 -> 42 [size =\"14875648\"]\n  29 -> 43 [size =\"14875648\"]\n  29 -> 49 [size =\"14875648\"]\n  29 -> 50 [size =\"14875648\"]\n  30 [size=\"152046933\", alpha=\"0.20\", expect_size=\"45614080\"] \n  30 -> 38 [size =\"45614080\"]\n  30 -> 39 [size =\"45614080\"]\n  30 -> 40 [size =\"45614080\"]\n  30 -> 41 [size =\"45614080\"]\n  30 -> 42 [size =\"45614080\"]\n  30 -> 43 [size =\"45614080\"]\n  30 -> 49 [size =\"45614080\"]\n  31 [size=\"77107200\", alpha=\"0.04\", expect_size=\"23132160\"] \n  31 -> 41 [size =\"23132160\"]\n  31 -> 42 [size =\"23132160\"]\n  31 -> 46 [size =\"23132160\"]\n  31 -> 49 [size =\"23132160\"]\n  32 [size=\"160167253\", alpha=\"0.14\", expect_size=\"48050176\"] \n  32 -> 36 [size =\"48050176\"]\n  32 -> 39 [size =\"48050176\"]\n  32 -> 40 [size =\"48050176\"]\n  32 -> 42 [size =\"48050176\"]\n  32 -> 43 [size =\"48050176\"]\n  32 -> 50 [size =\"48050176\"]\n  33 [size=\"84329813\", alpha=\"0.05\", expect_size=\"25298944\"] \n  33 -> 36 [size =\"25298944\"]\n  33 -> 37 [size =\"25298944\"]\n  33 -> 43 [size =\"25298944\"]\n  33 -> 44 [size =\"25298944\"]\n  33 -> 49 [size =\"25298944\"]\n  33 -> 50 [size =\"25298944\"]\n  34 [size=\"48029013\", alpha=\"0.17\", expect_size=\"14408704\"] \n  34 -> 37 [size =\"14408704\"]\n  34 -> 38 [size =\"14408704\"]\n  34 -> 39 [size =\"14408704\"]\n  34 -> 48 [size =\"14408704\"]\n  35 [size=\"108079787\", alpha=\"0.10\", expect_size=\"32423936\"] \n  35 -> 38 [size =\"32423936\"]\n  35 -> 39 [size =\"32423936\"]\n  35 -> 39 [size =\"32423936\"]\n  35 -> 40 [size =\"32423936\"]\n  35 -> 41 [size =\"32423936\"]\n  35 -> 43 [size =\"32423936\"]\n  35 -> 50 [size =\"32423936\"]\n  36 [size=\"34440533\", alpha=\"0.01\", expect_size=\"10332160\"] \n  37 [size=\"150145707\", alpha=\"0.15\", expect_size=\"45043712\"] \n  38 [size=\"86029653\", alpha=\"0.17\", expect_size=\"25808896\"] \n  39 [size=\"125743787\", alpha=\"0.05\", expect_size=\"37723136\"] \n  40 [size=\"76967253\", alpha=\"0.16\", expect_size=\"23090176\"] \n  41 [size=\"73936213\", alpha=\"0.03\", expect_size=\"22180864\"] \n  42 [size=\"103563947\", alpha=\"0.05\", expect_size=\"31069184\"] \n  43 [size=\"57511253\", alpha=\"0.12\", expect_size=\"17253376\"] \n  44 [size=\"99433813\", alpha=\"0.12\", expect_size=\"29830144\"] \n  45 [size=\"77793280\", alpha=\"0.06\", expect_size=\"23337984\"] \n  46 [size=\"159665493\", alpha=\"0.02\", expect_size=\"47899648\"] \n  47 [size=\"171130880\", alpha=\"0.05\", expect_size=\"51339264\"] \n  48 [size=\"132386133\", alpha=\"0.09\", expect_size=\"39715840\"] \n  49 [size=\"108185600\", alpha=\"0.16\", expect_size=\"32455680\"] \n  50 [size=\"149787307\", alpha=\"0.01\", expect_size=\"44936192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.524.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27889664\", alpha=\"0.01\", expect_size=\"13944832\"] \n  1 -> 10 [size =\"13944832\"]\n  1 -> 13 [size =\"13944832\"]\n  2 [size=\"43945984\", alpha=\"0.04\", expect_size=\"21972992\"] \n  2 -> 9 [size =\"21972992\"]\n  2 -> 10 [size =\"21972992\"]\n  2 -> 11 [size =\"21972992\"]\n  2 -> 12 [size =\"21972992\"]\n  2 -> 13 [size =\"21972992\"]\n  3 [size=\"12509184\", alpha=\"0.08\", expect_size=\"6254592\"] \n  3 -> 13 [size =\"6254592\"]\n  4 [size=\"91422720\", alpha=\"0.05\", expect_size=\"45711360\"] \n  4 -> 8 [size =\"45711360\"]\n  5 [size=\"93855744\", alpha=\"0.18\", expect_size=\"46927872\"] \n  5 -> 9 [size =\"46927872\"]\n  5 -> 10 [size =\"46927872\"]\n  5 -> 13 [size =\"46927872\"]\n  6 [size=\"98519040\", alpha=\"0.17\", expect_size=\"49259520\"] \n  6 -> 13 [size =\"49259520\"]\n  7 [size=\"50688000\", alpha=\"0.12\", expect_size=\"25344000\"] \n  7 -> 11 [size =\"25344000\"]\n  7 -> 13 [size =\"25344000\"]\n  8 [size=\"87715840\", alpha=\"0.10\", expect_size=\"43857920\"] \n  8 -> 14 [size =\"43857920\"]\n  8 -> 15 [size =\"43857920\"]\n  8 -> 18 [size =\"43857920\"]\n  8 -> 19 [size =\"43857920\"]\n  9 [size=\"22351872\", alpha=\"0.07\", expect_size=\"11175936\"] \n  9 -> 14 [size =\"11175936\"]\n  9 -> 15 [size =\"11175936\"]\n  9 -> 18 [size =\"11175936\"]\n  9 -> 19 [size =\"11175936\"]\n  9 -> 20 [size =\"11175936\"]\n  10 [size=\"88625152\", alpha=\"0.19\", expect_size=\"44312576\"] \n  10 -> 14 [size =\"44312576\"]\n  10 -> 15 [size =\"44312576\"]\n  10 -> 17 [size =\"44312576\"]\n  10 -> 18 [size =\"44312576\"]\n  10 -> 19 [size =\"44312576\"]\n  11 [size=\"52887552\", alpha=\"0.01\", expect_size=\"26443776\"] \n  11 -> 15 [size =\"26443776\"]\n  11 -> 16 [size =\"26443776\"]\n  11 -> 18 [size =\"26443776\"]\n  11 -> 19 [size =\"26443776\"]\n  11 -> 20 [size =\"26443776\"]\n  12 [size=\"55982080\", alpha=\"0.01\", expect_size=\"27991040\"] \n  12 -> 14 [size =\"27991040\"]\n  12 -> 15 [size =\"27991040\"]\n  12 -> 18 [size =\"27991040\"]\n  12 -> 19 [size =\"27991040\"]\n  13 [size=\"74006528\", alpha=\"0.03\", expect_size=\"37003264\"] \n  13 -> 14 [size =\"37003264\"]\n  13 -> 17 [size =\"37003264\"]\n  13 -> 18 [size =\"37003264\"]\n  13 -> 19 [size =\"37003264\"]\n  14 [size=\"16334848\", alpha=\"0.13\", expect_size=\"8167424\"] \n  14 -> 23 [size =\"8167424\"]\n  14 -> 24 [size =\"8167424\"]\n  14 -> 25 [size =\"8167424\"]\n  15 [size=\"38424576\", alpha=\"0.10\", expect_size=\"19212288\"] \n  15 -> 21 [size =\"19212288\"]\n  15 -> 23 [size =\"19212288\"]\n  15 -> 24 [size =\"19212288\"]\n  15 -> 25 [size =\"19212288\"]\n  16 [size=\"29829120\", alpha=\"0.14\", expect_size=\"14914560\"] \n  16 -> 21 [size =\"14914560\"]\n  16 -> 23 [size =\"14914560\"]\n  16 -> 24 [size =\"14914560\"]\n  16 -> 25 [size =\"14914560\"]\n  17 [size=\"17827840\", alpha=\"0.16\", expect_size=\"8913920\"] \n  17 -> 21 [size =\"8913920\"]\n  17 -> 22 [size =\"8913920\"]\n  17 -> 23 [size =\"8913920\"]\n  17 -> 24 [size =\"8913920\"]\n  17 -> 27 [size =\"8913920\"]\n  18 [size=\"76120064\", alpha=\"0.11\", expect_size=\"38060032\"] \n  18 -> 21 [size =\"38060032\"]\n  18 -> 22 [size =\"38060032\"]\n  18 -> 23 [size =\"38060032\"]\n  18 -> 24 [size =\"38060032\"]\n  18 -> 25 [size =\"38060032\"]\n  18 -> 27 [size =\"38060032\"]\n  19 [size=\"29724672\", alpha=\"0.16\", expect_size=\"14862336\"] \n  19 -> 21 [size =\"14862336\"]\n  19 -> 23 [size =\"14862336\"]\n  19 -> 25 [size =\"14862336\"]\n  20 [size=\"63109120\", alpha=\"0.05\", expect_size=\"31554560\"] \n  20 -> 22 [size =\"31554560\"]\n  20 -> 24 [size =\"31554560\"]\n  20 -> 25 [size =\"31554560\"]\n  20 -> 26 [size =\"31554560\"]\n  21 [size=\"56406016\", alpha=\"0.18\", expect_size=\"28203008\"] \n  21 -> 28 [size =\"28203008\"]\n  21 -> 30 [size =\"28203008\"]\n  21 -> 31 [size =\"28203008\"]\n  21 -> 32 [size =\"28203008\"]\n  21 -> 34 [size =\"28203008\"]\n  22 [size=\"58828800\", alpha=\"0.17\", expect_size=\"29414400\"] \n  22 -> 29 [size =\"29414400\"]\n  22 -> 31 [size =\"29414400\"]\n  23 [size=\"65212416\", alpha=\"0.17\", expect_size=\"32606208\"] \n  23 -> 28 [size =\"32606208\"]\n  23 -> 29 [size =\"32606208\"]\n  23 -> 31 [size =\"32606208\"]\n  23 -> 32 [size =\"32606208\"]\n  24 [size=\"78053376\", alpha=\"0.15\", expect_size=\"39026688\"] \n  24 -> 28 [size =\"39026688\"]\n  24 -> 29 [size =\"39026688\"]\n  24 -> 30 [size =\"39026688\"]\n  24 -> 31 [size =\"39026688\"]\n  24 -> 32 [size =\"39026688\"]\n  25 [size=\"45742080\", alpha=\"0.10\", expect_size=\"22871040\"] \n  25 -> 28 [size =\"22871040\"]\n  25 -> 29 [size =\"22871040\"]\n  25 -> 33 [size =\"22871040\"]\n  26 [size=\"94298112\", alpha=\"0.03\", expect_size=\"47149056\"] \n  26 -> 29 [size =\"47149056\"]\n  26 -> 29 [size =\"47149056\"]\n  26 -> 31 [size =\"47149056\"]\n  26 -> 32 [size =\"47149056\"]\n  26 -> 33 [size =\"47149056\"]\n  27 [size=\"64786432\", alpha=\"0.05\", expect_size=\"32393216\"] \n  27 -> 30 [size =\"32393216\"]\n  27 -> 31 [size =\"32393216\"]\n  27 -> 32 [size =\"32393216\"]\n  27 -> 33 [size =\"32393216\"]\n  27 -> 33 [size =\"32393216\"]\n  28 [size=\"44558336\", alpha=\"0.04\", expect_size=\"22279168\"] \n  28 -> 35 [size =\"22279168\"]\n  28 -> 37 [size =\"22279168\"]\n  28 -> 38 [size =\"22279168\"]\n  28 -> 39 [size =\"22279168\"]\n  29 [size=\"94617600\", alpha=\"0.05\", expect_size=\"47308800\"] \n  29 -> 37 [size =\"47308800\"]\n  29 -> 38 [size =\"47308800\"]\n  29 -> 39 [size =\"47308800\"]\n  29 -> 40 [size =\"47308800\"]\n  30 [size=\"77637632\", alpha=\"0.02\", expect_size=\"38818816\"] \n  30 -> 37 [size =\"38818816\"]\n  30 -> 38 [size =\"38818816\"]\n  31 [size=\"102428672\", alpha=\"0.09\", expect_size=\"51214336\"] \n  31 -> 36 [size =\"51214336\"]\n  31 -> 39 [size =\"51214336\"]\n  31 -> 40 [size =\"51214336\"]\n  32 [size=\"92024832\", alpha=\"0.05\", expect_size=\"46012416\"] \n  32 -> 36 [size =\"46012416\"]\n  32 -> 39 [size =\"46012416\"]\n  33 [size=\"79886336\", alpha=\"0.14\", expect_size=\"39943168\"] \n  33 -> 35 [size =\"39943168\"]\n  33 -> 37 [size =\"39943168\"]\n  33 -> 39 [size =\"39943168\"]\n  34 [size=\"68040704\", alpha=\"0.05\", expect_size=\"34020352\"] \n  34 -> 35 [size =\"34020352\"]\n  34 -> 36 [size =\"34020352\"]\n  34 -> 39 [size =\"34020352\"]\n  35 [size=\"43051008\", alpha=\"0.02\", expect_size=\"21525504\"] \n  35 -> 43 [size =\"21525504\"]\n  35 -> 43 [size =\"21525504\"]\n  35 -> 44 [size =\"21525504\"]\n  35 -> 46 [size =\"21525504\"]\n  36 [size=\"88289280\", alpha=\"0.03\", expect_size=\"44144640\"] \n  36 -> 41 [size =\"44144640\"]\n  36 -> 43 [size =\"44144640\"]\n  36 -> 46 [size =\"44144640\"]\n  36 -> 47 [size =\"44144640\"]\n  37 [size=\"103047168\", alpha=\"0.05\", expect_size=\"51523584\"] \n  37 -> 41 [size =\"51523584\"]\n  37 -> 42 [size =\"51523584\"]\n  37 -> 43 [size =\"51523584\"]\n  37 -> 44 [size =\"51523584\"]\n  37 -> 46 [size =\"51523584\"]\n  37 -> 47 [size =\"51523584\"]\n  38 [size=\"33153024\", alpha=\"0.01\", expect_size=\"16576512\"] \n  38 -> 43 [size =\"16576512\"]\n  38 -> 45 [size =\"16576512\"]\n  38 -> 46 [size =\"16576512\"]\n  38 -> 47 [size =\"16576512\"]\n  39 [size=\"50214912\", alpha=\"0.02\", expect_size=\"25107456\"] \n  39 -> 46 [size =\"25107456\"]\n  39 -> 47 [size =\"25107456\"]\n  40 [size=\"71723008\", alpha=\"0.13\", expect_size=\"35861504\"] \n  40 -> 41 [size =\"35861504\"]\n  40 -> 43 [size =\"35861504\"]\n  40 -> 46 [size =\"35861504\"]\n  40 -> 47 [size =\"35861504\"]\n  41 [size=\"81448960\", alpha=\"0.15\", expect_size=\"40724480\"] \n  41 -> 50 [size =\"40724480\"]\n  42 [size=\"27426816\", alpha=\"0.06\", expect_size=\"13713408\"] \n  42 -> 50 [size =\"13713408\"]\n  43 [size=\"49520640\", alpha=\"0.09\", expect_size=\"24760320\"] \n  43 -> 48 [size =\"24760320\"]\n  43 -> 49 [size =\"24760320\"]\n  43 -> 50 [size =\"24760320\"]\n  44 [size=\"22511616\", alpha=\"0.07\", expect_size=\"11255808\"] \n  44 -> 48 [size =\"11255808\"]\n  44 -> 49 [size =\"11255808\"]\n  44 -> 50 [size =\"11255808\"]\n  45 [size=\"46620672\", alpha=\"0.12\", expect_size=\"23310336\"] \n  45 -> 48 [size =\"23310336\"]\n  45 -> 49 [size =\"23310336\"]\n  46 [size=\"55416832\", alpha=\"0.14\", expect_size=\"27708416\"] \n  46 -> 48 [size =\"27708416\"]\n  46 -> 49 [size =\"27708416\"]\n  46 -> 50 [size =\"27708416\"]\n  47 [size=\"68243456\", alpha=\"0.09\", expect_size=\"34121728\"] \n  47 -> 48 [size =\"34121728\"]\n  47 -> 49 [size =\"34121728\"]\n  47 -> 50 [size =\"34121728\"]\n  48 [size=\"92442624\", alpha=\"0.10\", expect_size=\"46221312\"] \n  49 [size=\"99282944\", alpha=\"0.09\", expect_size=\"49641472\"] \n  50 [size=\"13627392\", alpha=\"0.03\", expect_size=\"6813696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.525.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70999040\", alpha=\"0.07\", expect_size=\"28399616\"] \n  1 -> 5 [size =\"28399616\"]\n  1 -> 6 [size =\"28399616\"]\n  2 [size=\"61253120\", alpha=\"0.18\", expect_size=\"24501248\"] \n  2 -> 4 [size =\"24501248\"]\n  3 [size=\"121748480\", alpha=\"0.01\", expect_size=\"48699392\"] \n  3 -> 4 [size =\"48699392\"]\n  4 [size=\"26004480\", alpha=\"0.16\", expect_size=\"10401792\"] \n  4 -> 7 [size =\"10401792\"]\n  4 -> 8 [size =\"10401792\"]\n  5 [size=\"46169600\", alpha=\"0.04\", expect_size=\"18467840\"] \n  5 -> 8 [size =\"18467840\"]\n  6 [size=\"22133760\", alpha=\"0.18\", expect_size=\"8853504\"] \n  6 -> 7 [size =\"8853504\"]\n  6 -> 8 [size =\"8853504\"]\n  7 [size=\"62538240\", alpha=\"0.00\", expect_size=\"25015296\"] \n  8 [size=\"37544960\", alpha=\"0.06\", expect_size=\"15017984\"] \n  8 -> 9 [size =\"15017984\"]\n  8 -> 10 [size =\"15017984\"]\n  9 [size=\"85893120\", alpha=\"0.07\", expect_size=\"34357248\"] \n  9 -> 11 [size =\"34357248\"]\n  9 -> 12 [size =\"34357248\"]\n  10 [size=\"28797440\", alpha=\"0.01\", expect_size=\"11518976\"] \n  11 [size=\"115681280\", alpha=\"0.17\", expect_size=\"46272512\"] \n  11 -> 13 [size =\"46272512\"]\n  11 -> 14 [size =\"46272512\"]\n  11 -> 15 [size =\"46272512\"]\n  12 [size=\"41144320\", alpha=\"0.19\", expect_size=\"16457728\"] \n  12 -> 13 [size =\"16457728\"]\n  13 [size=\"31889920\", alpha=\"0.13\", expect_size=\"12755968\"] \n  13 -> 16 [size =\"12755968\"]\n  14 [size=\"38799360\", alpha=\"0.01\", expect_size=\"15519744\"] \n  15 [size=\"17295360\", alpha=\"0.12\", expect_size=\"6918144\"] \n  15 -> 17 [size =\"6918144\"]\n  16 [size=\"43494400\", alpha=\"0.12\", expect_size=\"17397760\"] \n  16 -> 18 [size =\"17397760\"]\n  16 -> 20 [size =\"17397760\"]\n  17 [size=\"28897280\", alpha=\"0.03\", expect_size=\"11558912\"] \n  17 -> 18 [size =\"11558912\"]\n  17 -> 19 [size =\"11558912\"]\n  17 -> 20 [size =\"11558912\"]\n  18 [size=\"30517760\", alpha=\"0.12\", expect_size=\"12207104\"] \n  18 -> 22 [size =\"12207104\"]\n  19 [size=\"67714560\", alpha=\"0.01\", expect_size=\"27085824\"] \n  19 -> 22 [size =\"27085824\"]\n  20 [size=\"111457280\", alpha=\"0.18\", expect_size=\"44582912\"] \n  20 -> 21 [size =\"44582912\"]\n  21 [size=\"115217920\", alpha=\"0.04\", expect_size=\"46087168\"] \n  21 -> 23 [size =\"46087168\"]\n  21 -> 24 [size =\"46087168\"]\n  21 -> 25 [size =\"46087168\"]\n  22 [size=\"98314240\", alpha=\"0.18\", expect_size=\"39325696\"] \n  22 -> 24 [size =\"39325696\"]\n  23 [size=\"93580800\", alpha=\"0.11\", expect_size=\"37432320\"] \n  23 -> 26 [size =\"37432320\"]\n  24 [size=\"53752320\", alpha=\"0.06\", expect_size=\"21500928\"] \n  25 [size=\"59737600\", alpha=\"0.06\", expect_size=\"23895040\"] \n  26 [size=\"14832640\", alpha=\"0.08\", expect_size=\"5933056\"] \n  26 -> 27 [size =\"5933056\"]\n  26 -> 28 [size =\"5933056\"]\n  26 -> 29 [size =\"5933056\"]\n  27 [size=\"84170240\", alpha=\"0.19\", expect_size=\"33668096\"] \n  27 -> 30 [size =\"33668096\"]\n  27 -> 31 [size =\"33668096\"]\n  27 -> 33 [size =\"33668096\"]\n  28 [size=\"103029760\", alpha=\"0.13\", expect_size=\"41211904\"] \n  28 -> 31 [size =\"41211904\"]\n  28 -> 32 [size =\"41211904\"]\n  28 -> 33 [size =\"41211904\"]\n  29 [size=\"53350400\", alpha=\"0.00\", expect_size=\"21340160\"] \n  29 -> 31 [size =\"21340160\"]\n  29 -> 32 [size =\"21340160\"]\n  29 -> 33 [size =\"21340160\"]\n  30 [size=\"61514240\", alpha=\"0.10\", expect_size=\"24605696\"] \n  30 -> 34 [size =\"24605696\"]\n  30 -> 35 [size =\"24605696\"]\n  31 [size=\"47956480\", alpha=\"0.17\", expect_size=\"19182592\"] \n  32 [size=\"70579200\", alpha=\"0.08\", expect_size=\"28231680\"] \n  33 [size=\"59558400\", alpha=\"0.03\", expect_size=\"23823360\"] \n  33 -> 34 [size =\"23823360\"]\n  33 -> 35 [size =\"23823360\"]\n  34 [size=\"123540480\", alpha=\"0.03\", expect_size=\"49416192\"] \n  34 -> 36 [size =\"49416192\"]\n  35 [size=\"39493120\", alpha=\"0.03\", expect_size=\"15797248\"] \n  35 -> 37 [size =\"15797248\"]\n  36 [size=\"76410880\", alpha=\"0.08\", expect_size=\"30564352\"] \n  36 -> 38 [size =\"30564352\"]\n  37 [size=\"125358080\", alpha=\"0.15\", expect_size=\"50143232\"] \n  37 -> 38 [size =\"50143232\"]\n  38 [size=\"117795840\", alpha=\"0.06\", expect_size=\"47118336\"] \n  38 -> 39 [size =\"47118336\"]\n  39 [size=\"78169600\", alpha=\"0.06\", expect_size=\"31267840\"] \n  39 -> 40 [size =\"31267840\"]\n  39 -> 41 [size =\"31267840\"]\n  39 -> 42 [size =\"31267840\"]\n  40 [size=\"79262720\", alpha=\"0.03\", expect_size=\"31705088\"] \n  40 -> 44 [size =\"31705088\"]\n  41 [size=\"18803200\", alpha=\"0.17\", expect_size=\"7521280\"] \n  41 -> 43 [size =\"7521280\"]\n  42 [size=\"117329920\", alpha=\"0.05\", expect_size=\"46931968\"] \n  42 -> 43 [size =\"46931968\"]\n  42 -> 44 [size =\"46931968\"]\n  43 [size=\"48993280\", alpha=\"0.07\", expect_size=\"19597312\"] \n  44 [size=\"68500480\", alpha=\"0.16\", expect_size=\"27400192\"] \n  44 -> 45 [size =\"27400192\"]\n  44 -> 46 [size =\"27400192\"]\n  44 -> 47 [size =\"27400192\"]\n  45 [size=\"83586560\", alpha=\"0.13\", expect_size=\"33434624\"] \n  45 -> 50 [size =\"33434624\"]\n  46 [size=\"98439680\", alpha=\"0.10\", expect_size=\"39375872\"] \n  46 -> 48 [size =\"39375872\"]\n  46 -> 49 [size =\"39375872\"]\n  46 -> 50 [size =\"39375872\"]\n  47 [size=\"25479680\", alpha=\"0.20\", expect_size=\"10191872\"] \n  47 -> 48 [size =\"10191872\"]\n  47 -> 49 [size =\"10191872\"]\n  48 [size=\"116428800\", alpha=\"0.04\", expect_size=\"46571520\"] \n  49 [size=\"34808320\", alpha=\"0.15\", expect_size=\"13923328\"] \n  50 [size=\"71152640\", alpha=\"0.15\", expect_size=\"28461056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.526.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29235200\", alpha=\"0.17\", expect_size=\"14617600\"] \n  1 -> 3 [size =\"14617600\"]\n  1 -> 5 [size =\"14617600\"]\n  2 [size=\"87465984\", alpha=\"0.15\", expect_size=\"43732992\"] \n  2 -> 3 [size =\"43732992\"]\n  2 -> 4 [size =\"43732992\"]\n  3 [size=\"28413952\", alpha=\"0.16\", expect_size=\"14206976\"] \n  3 -> 6 [size =\"14206976\"]\n  3 -> 7 [size =\"14206976\"]\n  3 -> 8 [size =\"14206976\"]\n  4 [size=\"15941632\", alpha=\"0.14\", expect_size=\"7970816\"] \n  4 -> 8 [size =\"7970816\"]\n  5 [size=\"98834432\", alpha=\"0.07\", expect_size=\"49417216\"] \n  5 -> 6 [size =\"49417216\"]\n  5 -> 7 [size =\"49417216\"]\n  6 [size=\"21057536\", alpha=\"0.04\", expect_size=\"10528768\"] \n  6 -> 9 [size =\"10528768\"]\n  6 -> 10 [size =\"10528768\"]\n  7 [size=\"26742784\", alpha=\"0.07\", expect_size=\"13371392\"] \n  7 -> 10 [size =\"13371392\"]\n  8 [size=\"20215808\", alpha=\"0.07\", expect_size=\"10107904\"] \n  8 -> 10 [size =\"10107904\"]\n  9 [size=\"55197696\", alpha=\"0.03\", expect_size=\"27598848\"] \n  9 -> 11 [size =\"27598848\"]\n  9 -> 12 [size =\"27598848\"]\n  9 -> 13 [size =\"27598848\"]\n  10 [size=\"14307328\", alpha=\"0.09\", expect_size=\"7153664\"] \n  10 -> 11 [size =\"7153664\"]\n  11 [size=\"63254528\", alpha=\"0.11\", expect_size=\"31627264\"] \n  11 -> 15 [size =\"31627264\"]\n  12 [size=\"48564224\", alpha=\"0.02\", expect_size=\"24282112\"] \n  12 -> 14 [size =\"24282112\"]\n  13 [size=\"25077760\", alpha=\"0.13\", expect_size=\"12538880\"] \n  13 -> 15 [size =\"12538880\"]\n  14 [size=\"100864000\", alpha=\"0.07\", expect_size=\"50432000\"] \n  14 -> 16 [size =\"50432000\"]\n  14 -> 17 [size =\"50432000\"]\n  15 [size=\"73771008\", alpha=\"0.09\", expect_size=\"36885504\"] \n  15 -> 16 [size =\"36885504\"]\n  15 -> 17 [size =\"36885504\"]\n  15 -> 18 [size =\"36885504\"]\n  16 [size=\"12576768\", alpha=\"0.09\", expect_size=\"6288384\"] \n  16 -> 19 [size =\"6288384\"]\n  17 [size=\"29904896\", alpha=\"0.17\", expect_size=\"14952448\"] \n  18 [size=\"63533056\", alpha=\"0.05\", expect_size=\"31766528\"] \n  18 -> 20 [size =\"31766528\"]\n  18 -> 21 [size =\"31766528\"]\n  19 [size=\"97689600\", alpha=\"0.00\", expect_size=\"48844800\"] \n  20 [size=\"16539648\", alpha=\"0.17\", expect_size=\"8269824\"] \n  20 -> 22 [size =\"8269824\"]\n  20 -> 23 [size =\"8269824\"]\n  21 [size=\"58443776\", alpha=\"0.18\", expect_size=\"29221888\"] \n  21 -> 22 [size =\"29221888\"]\n  22 [size=\"18296832\", alpha=\"0.16\", expect_size=\"9148416\"] \n  22 -> 24 [size =\"9148416\"]\n  22 -> 25 [size =\"9148416\"]\n  23 [size=\"26624000\", alpha=\"0.17\", expect_size=\"13312000\"] \n  23 -> 24 [size =\"13312000\"]\n  23 -> 25 [size =\"13312000\"]\n  24 [size=\"88197120\", alpha=\"0.20\", expect_size=\"44098560\"] \n  24 -> 26 [size =\"44098560\"]\n  25 [size=\"25333760\", alpha=\"0.01\", expect_size=\"12666880\"] \n  25 -> 26 [size =\"12666880\"]\n  25 -> 27 [size =\"12666880\"]\n  26 [size=\"69996544\", alpha=\"0.04\", expect_size=\"34998272\"] \n  26 -> 28 [size =\"34998272\"]\n  26 -> 29 [size =\"34998272\"]\n  27 [size=\"18386944\", alpha=\"0.11\", expect_size=\"9193472\"] \n  27 -> 28 [size =\"9193472\"]\n  27 -> 29 [size =\"9193472\"]\n  27 -> 30 [size =\"9193472\"]\n  28 [size=\"100599808\", alpha=\"0.20\", expect_size=\"50299904\"] \n  28 -> 31 [size =\"50299904\"]\n  28 -> 32 [size =\"50299904\"]\n  28 -> 33 [size =\"50299904\"]\n  29 [size=\"28516352\", alpha=\"0.18\", expect_size=\"14258176\"] \n  30 [size=\"28962816\", alpha=\"0.18\", expect_size=\"14481408\"] \n  30 -> 31 [size =\"14481408\"]\n  30 -> 32 [size =\"14481408\"]\n  31 [size=\"16152576\", alpha=\"0.08\", expect_size=\"8076288\"] \n  31 -> 34 [size =\"8076288\"]\n  31 -> 35 [size =\"8076288\"]\n  32 [size=\"103202816\", alpha=\"0.06\", expect_size=\"51601408\"] \n  32 -> 34 [size =\"51601408\"]\n  32 -> 35 [size =\"51601408\"]\n  33 [size=\"83984384\", alpha=\"0.08\", expect_size=\"41992192\"] \n  33 -> 34 [size =\"41992192\"]\n  33 -> 35 [size =\"41992192\"]\n  34 [size=\"70795264\", alpha=\"0.09\", expect_size=\"35397632\"] \n  34 -> 36 [size =\"35397632\"]\n  34 -> 37 [size =\"35397632\"]\n  35 [size=\"69095424\", alpha=\"0.03\", expect_size=\"34547712\"] \n  35 -> 36 [size =\"34547712\"]\n  35 -> 37 [size =\"34547712\"]\n  36 [size=\"72861696\", alpha=\"0.17\", expect_size=\"36430848\"] \n  36 -> 39 [size =\"36430848\"]\n  37 [size=\"92669952\", alpha=\"0.16\", expect_size=\"46334976\"] \n  37 -> 38 [size =\"46334976\"]\n  37 -> 39 [size =\"46334976\"]\n  38 [size=\"50401280\", alpha=\"0.06\", expect_size=\"25200640\"] \n  38 -> 40 [size =\"25200640\"]\n  39 [size=\"50161664\", alpha=\"0.14\", expect_size=\"25080832\"] \n  39 -> 41 [size =\"25080832\"]\n  39 -> 42 [size =\"25080832\"]\n  40 [size=\"42293248\", alpha=\"0.04\", expect_size=\"21146624\"] \n  40 -> 45 [size =\"21146624\"]\n  41 [size=\"30615552\", alpha=\"0.04\", expect_size=\"15307776\"] \n  41 -> 43 [size =\"15307776\"]\n  42 [size=\"67901440\", alpha=\"0.05\", expect_size=\"33950720\"] \n  42 -> 44 [size =\"33950720\"]\n  42 -> 45 [size =\"33950720\"]\n  43 [size=\"97855488\", alpha=\"0.10\", expect_size=\"48927744\"] \n  44 [size=\"40701952\", alpha=\"0.11\", expect_size=\"20350976\"] \n  44 -> 46 [size =\"20350976\"]\n  44 -> 47 [size =\"20350976\"]\n  45 [size=\"81186816\", alpha=\"0.16\", expect_size=\"40593408\"] \n  45 -> 46 [size =\"40593408\"]\n  45 -> 47 [size =\"40593408\"]\n  46 [size=\"93853696\", alpha=\"0.13\", expect_size=\"46926848\"] \n  46 -> 48 [size =\"46926848\"]\n  46 -> 49 [size =\"46926848\"]\n  47 [size=\"80795648\", alpha=\"0.12\", expect_size=\"40397824\"] \n  48 [size=\"61431808\", alpha=\"0.10\", expect_size=\"30715904\"] \n  49 [size=\"88809472\", alpha=\"0.12\", expect_size=\"44404736\"] \n  49 -> 50 [size =\"44404736\"]\n  50 [size=\"61388800\", alpha=\"0.17\", expect_size=\"30694400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.527.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118796800\", alpha=\"0.16\", expect_size=\"47518720\"] \n  1 -> 31 [size =\"47518720\"]\n  1 -> 36 [size =\"47518720\"]\n  1 -> 40 [size =\"47518720\"]\n  2 [size=\"105704960\", alpha=\"0.06\", expect_size=\"42281984\"] \n  2 -> 31 [size =\"42281984\"]\n  2 -> 36 [size =\"42281984\"]\n  2 -> 39 [size =\"42281984\"]\n  2 -> 45 [size =\"42281984\"]\n  3 [size=\"83110400\", alpha=\"0.14\", expect_size=\"33244160\"] \n  3 -> 31 [size =\"33244160\"]\n  3 -> 39 [size =\"33244160\"]\n  3 -> 39 [size =\"33244160\"]\n  3 -> 41 [size =\"33244160\"]\n  3 -> 42 [size =\"33244160\"]\n  3 -> 43 [size =\"33244160\"]\n  3 -> 47 [size =\"33244160\"]\n  3 -> 48 [size =\"33244160\"]\n  4 [size=\"42229760\", alpha=\"0.15\", expect_size=\"16891904\"] \n  4 -> 31 [size =\"16891904\"]\n  4 -> 37 [size =\"16891904\"]\n  4 -> 40 [size =\"16891904\"]\n  4 -> 41 [size =\"16891904\"]\n  4 -> 44 [size =\"16891904\"]\n  4 -> 46 [size =\"16891904\"]\n  4 -> 47 [size =\"16891904\"]\n  5 [size=\"111749120\", alpha=\"0.14\", expect_size=\"44699648\"] \n  5 -> 37 [size =\"44699648\"]\n  5 -> 38 [size =\"44699648\"]\n  5 -> 40 [size =\"44699648\"]\n  6 [size=\"118865920\", alpha=\"0.02\", expect_size=\"47546368\"] \n  6 -> 37 [size =\"47546368\"]\n  6 -> 43 [size =\"47546368\"]\n  6 -> 48 [size =\"47546368\"]\n  7 [size=\"59125760\", alpha=\"0.13\", expect_size=\"23650304\"] \n  7 -> 33 [size =\"23650304\"]\n  7 -> 35 [size =\"23650304\"]\n  7 -> 37 [size =\"23650304\"]\n  7 -> 42 [size =\"23650304\"]\n  7 -> 47 [size =\"23650304\"]\n  7 -> 48 [size =\"23650304\"]\n  8 [size=\"37972480\", alpha=\"0.08\", expect_size=\"15188992\"] \n  8 -> 33 [size =\"15188992\"]\n  8 -> 37 [size =\"15188992\"]\n  8 -> 43 [size =\"15188992\"]\n  8 -> 46 [size =\"15188992\"]\n  8 -> 47 [size =\"15188992\"]\n  8 -> 50 [size =\"15188992\"]\n  9 [size=\"108922880\", alpha=\"0.01\", expect_size=\"43569152\"] \n  9 -> 31 [size =\"43569152\"]\n  9 -> 32 [size =\"43569152\"]\n  9 -> 33 [size =\"43569152\"]\n  9 -> 37 [size =\"43569152\"]\n  9 -> 47 [size =\"43569152\"]\n  10 [size=\"58657280\", alpha=\"0.09\", expect_size=\"23462912\"] \n  10 -> 31 [size =\"23462912\"]\n  10 -> 47 [size =\"23462912\"]\n  11 [size=\"55948800\", alpha=\"0.00\", expect_size=\"22379520\"] \n  11 -> 31 [size =\"22379520\"]\n  11 -> 39 [size =\"22379520\"]\n  12 [size=\"33646080\", alpha=\"0.03\", expect_size=\"13458432\"] \n  12 -> 31 [size =\"13458432\"]\n  12 -> 33 [size =\"13458432\"]\n  12 -> 37 [size =\"13458432\"]\n  12 -> 39 [size =\"13458432\"]\n  12 -> 41 [size =\"13458432\"]\n  12 -> 43 [size =\"13458432\"]\n  12 -> 48 [size =\"13458432\"]\n  12 -> 49 [size =\"13458432\"]\n  13 [size=\"70182400\", alpha=\"0.11\", expect_size=\"28072960\"] \n  13 -> 33 [size =\"28072960\"]\n  13 -> 37 [size =\"28072960\"]\n  13 -> 39 [size =\"28072960\"]\n  13 -> 43 [size =\"28072960\"]\n  13 -> 47 [size =\"28072960\"]\n  13 -> 48 [size =\"28072960\"]\n  14 [size=\"37521920\", alpha=\"0.10\", expect_size=\"15008768\"] \n  14 -> 37 [size =\"15008768\"]\n  14 -> 45 [size =\"15008768\"]\n  14 -> 50 [size =\"15008768\"]\n  15 [size=\"128151040\", alpha=\"0.14\", expect_size=\"51260416\"] \n  15 -> 31 [size =\"51260416\"]\n  15 -> 38 [size =\"51260416\"]\n  15 -> 42 [size =\"51260416\"]\n  15 -> 44 [size =\"51260416\"]\n  15 -> 46 [size =\"51260416\"]\n  16 [size=\"91696640\", alpha=\"0.15\", expect_size=\"36678656\"] \n  16 -> 31 [size =\"36678656\"]\n  16 -> 37 [size =\"36678656\"]\n  16 -> 38 [size =\"36678656\"]\n  16 -> 39 [size =\"36678656\"]\n  16 -> 46 [size =\"36678656\"]\n  16 -> 47 [size =\"36678656\"]\n  16 -> 48 [size =\"36678656\"]\n  16 -> 50 [size =\"36678656\"]\n  17 [size=\"105756160\", alpha=\"0.00\", expect_size=\"42302464\"] \n  17 -> 31 [size =\"42302464\"]\n  17 -> 36 [size =\"42302464\"]\n  17 -> 39 [size =\"42302464\"]\n  17 -> 43 [size =\"42302464\"]\n  18 [size=\"64739840\", alpha=\"0.10\", expect_size=\"25895936\"] \n  18 -> 33 [size =\"25895936\"]\n  18 -> 36 [size =\"25895936\"]\n  18 -> 38 [size =\"25895936\"]\n  18 -> 39 [size =\"25895936\"]\n  18 -> 43 [size =\"25895936\"]\n  18 -> 45 [size =\"25895936\"]\n  18 -> 46 [size =\"25895936\"]\n  18 -> 49 [size =\"25895936\"]\n  19 [size=\"114275840\", alpha=\"0.14\", expect_size=\"45710336\"] \n  19 -> 33 [size =\"45710336\"]\n  19 -> 34 [size =\"45710336\"]\n  19 -> 37 [size =\"45710336\"]\n  19 -> 45 [size =\"45710336\"]\n  19 -> 47 [size =\"45710336\"]\n  19 -> 48 [size =\"45710336\"]\n  19 -> 49 [size =\"45710336\"]\n  20 [size=\"118896640\", alpha=\"0.07\", expect_size=\"47558656\"] \n  20 -> 32 [size =\"47558656\"]\n  20 -> 36 [size =\"47558656\"]\n  20 -> 37 [size =\"47558656\"]\n  20 -> 39 [size =\"47558656\"]\n  21 [size=\"54179840\", alpha=\"0.18\", expect_size=\"21671936\"] \n  21 -> 31 [size =\"21671936\"]\n  21 -> 32 [size =\"21671936\"]\n  21 -> 39 [size =\"21671936\"]\n  21 -> 39 [size =\"21671936\"]\n  21 -> 45 [size =\"21671936\"]\n  22 [size=\"55805440\", alpha=\"0.05\", expect_size=\"22322176\"] \n  22 -> 46 [size =\"22322176\"]\n  22 -> 47 [size =\"22322176\"]\n  23 [size=\"75182080\", alpha=\"0.04\", expect_size=\"30072832\"] \n  23 -> 32 [size =\"30072832\"]\n  23 -> 36 [size =\"30072832\"]\n  23 -> 42 [size =\"30072832\"]\n  23 -> 43 [size =\"30072832\"]\n  23 -> 47 [size =\"30072832\"]\n  23 -> 49 [size =\"30072832\"]\n  24 [size=\"19957760\", alpha=\"0.07\", expect_size=\"7983104\"] \n  24 -> 31 [size =\"7983104\"]\n  24 -> 34 [size =\"7983104\"]\n  24 -> 36 [size =\"7983104\"]\n  24 -> 42 [size =\"7983104\"]\n  24 -> 44 [size =\"7983104\"]\n  24 -> 47 [size =\"7983104\"]\n  24 -> 48 [size =\"7983104\"]\n  25 [size=\"78108160\", alpha=\"0.08\", expect_size=\"31243264\"] \n  25 -> 34 [size =\"31243264\"]\n  25 -> 36 [size =\"31243264\"]\n  25 -> 36 [size =\"31243264\"]\n  25 -> 37 [size =\"31243264\"]\n  25 -> 40 [size =\"31243264\"]\n  25 -> 42 [size =\"31243264\"]\n  25 -> 43 [size =\"31243264\"]\n  25 -> 46 [size =\"31243264\"]\n  25 -> 48 [size =\"31243264\"]\n  25 -> 50 [size =\"31243264\"]\n  26 [size=\"43176960\", alpha=\"0.06\", expect_size=\"17270784\"] \n  26 -> 33 [size =\"17270784\"]\n  26 -> 34 [size =\"17270784\"]\n  26 -> 36 [size =\"17270784\"]\n  26 -> 40 [size =\"17270784\"]\n  26 -> 43 [size =\"17270784\"]\n  26 -> 47 [size =\"17270784\"]\n  26 -> 48 [size =\"17270784\"]\n  27 [size=\"16335360\", alpha=\"0.12\", expect_size=\"6534144\"] \n  27 -> 36 [size =\"6534144\"]\n  27 -> 38 [size =\"6534144\"]\n  27 -> 45 [size =\"6534144\"]\n  27 -> 46 [size =\"6534144\"]\n  27 -> 48 [size =\"6534144\"]\n  27 -> 50 [size =\"6534144\"]\n  28 [size=\"17090560\", alpha=\"0.02\", expect_size=\"6836224\"] \n  28 -> 31 [size =\"6836224\"]\n  28 -> 36 [size =\"6836224\"]\n  28 -> 38 [size =\"6836224\"]\n  28 -> 40 [size =\"6836224\"]\n  28 -> 43 [size =\"6836224\"]\n  28 -> 44 [size =\"6836224\"]\n  28 -> 46 [size =\"6836224\"]\n  28 -> 48 [size =\"6836224\"]\n  29 [size=\"74565120\", alpha=\"0.09\", expect_size=\"29826048\"] \n  29 -> 33 [size =\"29826048\"]\n  29 -> 36 [size =\"29826048\"]\n  29 -> 39 [size =\"29826048\"]\n  29 -> 40 [size =\"29826048\"]\n  29 -> 46 [size =\"29826048\"]\n  29 -> 47 [size =\"29826048\"]\n  29 -> 48 [size =\"29826048\"]\n  30 [size=\"36259840\", alpha=\"0.03\", expect_size=\"14503936\"] \n  30 -> 31 [size =\"14503936\"]\n  30 -> 33 [size =\"14503936\"]\n  30 -> 36 [size =\"14503936\"]\n  30 -> 37 [size =\"14503936\"]\n  30 -> 39 [size =\"14503936\"]\n  30 -> 40 [size =\"14503936\"]\n  30 -> 42 [size =\"14503936\"]\n  30 -> 43 [size =\"14503936\"]\n  30 -> 47 [size =\"14503936\"]\n  30 -> 49 [size =\"14503936\"]\n  31 [size=\"76093440\", alpha=\"0.05\", expect_size=\"30437376\"] \n  32 [size=\"63828480\", alpha=\"0.10\", expect_size=\"25531392\"] \n  33 [size=\"92065280\", alpha=\"0.05\", expect_size=\"36826112\"] \n  34 [size=\"112839680\", alpha=\"0.04\", expect_size=\"45135872\"] \n  35 [size=\"37314560\", alpha=\"0.02\", expect_size=\"14925824\"] \n  36 [size=\"82094080\", alpha=\"0.14\", expect_size=\"32837632\"] \n  37 [size=\"117007360\", alpha=\"0.01\", expect_size=\"46802944\"] \n  38 [size=\"70110720\", alpha=\"0.17\", expect_size=\"28044288\"] \n  39 [size=\"84236800\", alpha=\"0.11\", expect_size=\"33694720\"] \n  40 [size=\"19271680\", alpha=\"0.02\", expect_size=\"7708672\"] \n  41 [size=\"38727680\", alpha=\"0.00\", expect_size=\"15491072\"] \n  42 [size=\"67486720\", alpha=\"0.05\", expect_size=\"26994688\"] \n  43 [size=\"126087680\", alpha=\"0.01\", expect_size=\"50435072\"] \n  44 [size=\"35673600\", alpha=\"0.19\", expect_size=\"14269440\"] \n  45 [size=\"56593920\", alpha=\"0.07\", expect_size=\"22637568\"] \n  46 [size=\"67960320\", alpha=\"0.00\", expect_size=\"27184128\"] \n  47 [size=\"30402560\", alpha=\"0.14\", expect_size=\"12161024\"] \n  48 [size=\"36569600\", alpha=\"0.08\", expect_size=\"14627840\"] \n  49 [size=\"20129280\", alpha=\"0.13\", expect_size=\"8051712\"] \n  50 [size=\"82252800\", alpha=\"0.02\", expect_size=\"32901120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.528.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37086720\", alpha=\"0.15\", expect_size=\"14834688\"] \n  1 -> 9 [size =\"14834688\"]\n  1 -> 13 [size =\"14834688\"]\n  2 [size=\"21309440\", alpha=\"0.17\", expect_size=\"8523776\"] \n  2 -> 8 [size =\"8523776\"]\n  2 -> 11 [size =\"8523776\"]\n  2 -> 12 [size =\"8523776\"]\n  3 [size=\"109637120\", alpha=\"0.01\", expect_size=\"43854848\"] \n  3 -> 8 [size =\"43854848\"]\n  3 -> 11 [size =\"43854848\"]\n  3 -> 12 [size =\"43854848\"]\n  3 -> 13 [size =\"43854848\"]\n  4 [size=\"63129600\", alpha=\"0.09\", expect_size=\"25251840\"] \n  4 -> 8 [size =\"25251840\"]\n  4 -> 12 [size =\"25251840\"]\n  5 [size=\"17116160\", alpha=\"0.01\", expect_size=\"6846464\"] \n  5 -> 9 [size =\"6846464\"]\n  5 -> 10 [size =\"6846464\"]\n  6 [size=\"125465600\", alpha=\"0.18\", expect_size=\"50186240\"] \n  6 -> 9 [size =\"50186240\"]\n  6 -> 10 [size =\"50186240\"]\n  7 [size=\"40427520\", alpha=\"0.05\", expect_size=\"16171008\"] \n  7 -> 13 [size =\"16171008\"]\n  8 [size=\"14781440\", alpha=\"0.17\", expect_size=\"5912576\"] \n  8 -> 14 [size =\"5912576\"]\n  9 [size=\"50629120\", alpha=\"0.01\", expect_size=\"20251648\"] \n  9 -> 15 [size =\"20251648\"]\n  10 [size=\"130833920\", alpha=\"0.19\", expect_size=\"52333568\"] \n  10 -> 17 [size =\"52333568\"]\n  11 [size=\"119147520\", alpha=\"0.09\", expect_size=\"47659008\"] \n  12 [size=\"88885760\", alpha=\"0.05\", expect_size=\"35554304\"] \n  12 -> 15 [size =\"35554304\"]\n  12 -> 16 [size =\"35554304\"]\n  13 [size=\"73966080\", alpha=\"0.07\", expect_size=\"29586432\"] \n  13 -> 14 [size =\"29586432\"]\n  14 [size=\"80593920\", alpha=\"0.06\", expect_size=\"32237568\"] \n  14 -> 19 [size =\"32237568\"]\n  14 -> 20 [size =\"32237568\"]\n  14 -> 22 [size =\"32237568\"]\n  15 [size=\"15144960\", alpha=\"0.13\", expect_size=\"6057984\"] \n  15 -> 18 [size =\"6057984\"]\n  15 -> 20 [size =\"6057984\"]\n  15 -> 22 [size =\"6057984\"]\n  16 [size=\"22289920\", alpha=\"0.02\", expect_size=\"8915968\"] \n  16 -> 18 [size =\"8915968\"]\n  16 -> 21 [size =\"8915968\"]\n  17 [size=\"126272000\", alpha=\"0.13\", expect_size=\"50508800\"] \n  18 [size=\"35128320\", alpha=\"0.11\", expect_size=\"14051328\"] \n  18 -> 23 [size =\"14051328\"]\n  18 -> 29 [size =\"14051328\"]\n  19 [size=\"18191360\", alpha=\"0.09\", expect_size=\"7276544\"] \n  19 -> 23 [size =\"7276544\"]\n  19 -> 26 [size =\"7276544\"]\n  19 -> 27 [size =\"7276544\"]\n  19 -> 29 [size =\"7276544\"]\n  20 [size=\"25149440\", alpha=\"0.01\", expect_size=\"10059776\"] \n  20 -> 24 [size =\"10059776\"]\n  20 -> 27 [size =\"10059776\"]\n  21 [size=\"17041920\", alpha=\"0.18\", expect_size=\"6816768\"] \n  22 [size=\"72215040\", alpha=\"0.15\", expect_size=\"28886016\"] \n  22 -> 23 [size =\"28886016\"]\n  22 -> 24 [size =\"28886016\"]\n  22 -> 25 [size =\"28886016\"]\n  22 -> 27 [size =\"28886016\"]\n  22 -> 28 [size =\"28886016\"]\n  23 [size=\"99420160\", alpha=\"0.10\", expect_size=\"39768064\"] \n  23 -> 32 [size =\"39768064\"]\n  23 -> 34 [size =\"39768064\"]\n  23 -> 36 [size =\"39768064\"]\n  24 [size=\"23887360\", alpha=\"0.12\", expect_size=\"9554944\"] \n  24 -> 32 [size =\"9554944\"]\n  24 -> 36 [size =\"9554944\"]\n  25 [size=\"60828160\", alpha=\"0.16\", expect_size=\"24331264\"] \n  26 [size=\"19960320\", alpha=\"0.18\", expect_size=\"7984128\"] \n  26 -> 30 [size =\"7984128\"]\n  26 -> 31 [size =\"7984128\"]\n  26 -> 32 [size =\"7984128\"]\n  26 -> 33 [size =\"7984128\"]\n  27 [size=\"30694400\", alpha=\"0.05\", expect_size=\"12277760\"] \n  27 -> 33 [size =\"12277760\"]\n  27 -> 36 [size =\"12277760\"]\n  28 [size=\"109345280\", alpha=\"0.12\", expect_size=\"43738112\"] \n  29 [size=\"57095680\", alpha=\"0.06\", expect_size=\"22838272\"] \n  29 -> 32 [size =\"22838272\"]\n  29 -> 35 [size =\"22838272\"]\n  30 [size=\"109905920\", alpha=\"0.19\", expect_size=\"43962368\"] \n  30 -> 37 [size =\"43962368\"]\n  30 -> 39 [size =\"43962368\"]\n  30 -> 43 [size =\"43962368\"]\n  31 [size=\"117434880\", alpha=\"0.11\", expect_size=\"46973952\"] \n  31 -> 38 [size =\"46973952\"]\n  31 -> 39 [size =\"46973952\"]\n  31 -> 40 [size =\"46973952\"]\n  31 -> 41 [size =\"46973952\"]\n  31 -> 44 [size =\"46973952\"]\n  32 [size=\"103664640\", alpha=\"0.15\", expect_size=\"41465856\"] \n  32 -> 38 [size =\"41465856\"]\n  32 -> 39 [size =\"41465856\"]\n  32 -> 40 [size =\"41465856\"]\n  32 -> 41 [size =\"41465856\"]\n  33 [size=\"76800000\", alpha=\"0.10\", expect_size=\"30720000\"] \n  33 -> 38 [size =\"30720000\"]\n  33 -> 44 [size =\"30720000\"]\n  34 [size=\"15406080\", alpha=\"0.16\", expect_size=\"6162432\"] \n  35 [size=\"87472640\", alpha=\"0.03\", expect_size=\"34989056\"] \n  35 -> 41 [size =\"34989056\"]\n  35 -> 42 [size =\"34989056\"]\n  36 [size=\"61076480\", alpha=\"0.11\", expect_size=\"24430592\"] \n  36 -> 43 [size =\"24430592\"]\n  37 [size=\"48576000\", alpha=\"0.18\", expect_size=\"19430400\"] \n  37 -> 46 [size =\"19430400\"]\n  37 -> 47 [size =\"19430400\"]\n  37 -> 50 [size =\"19430400\"]\n  38 [size=\"77296640\", alpha=\"0.09\", expect_size=\"30918656\"] \n  38 -> 45 [size =\"30918656\"]\n  38 -> 47 [size =\"30918656\"]\n  38 -> 50 [size =\"30918656\"]\n  39 [size=\"30945280\", alpha=\"0.01\", expect_size=\"12378112\"] \n  39 -> 45 [size =\"12378112\"]\n  39 -> 47 [size =\"12378112\"]\n  39 -> 49 [size =\"12378112\"]\n  39 -> 50 [size =\"12378112\"]\n  40 [size=\"65008640\", alpha=\"0.15\", expect_size=\"26003456\"] \n  41 [size=\"61291520\", alpha=\"0.10\", expect_size=\"24516608\"] \n  42 [size=\"125829120\", alpha=\"0.14\", expect_size=\"50331648\"] \n  42 -> 45 [size =\"50331648\"]\n  42 -> 49 [size =\"50331648\"]\n  43 [size=\"98480640\", alpha=\"0.13\", expect_size=\"39392256\"] \n  43 -> 49 [size =\"39392256\"]\n  43 -> 50 [size =\"39392256\"]\n  44 [size=\"40099840\", alpha=\"0.14\", expect_size=\"16039936\"] \n  44 -> 47 [size =\"16039936\"]\n  44 -> 48 [size =\"16039936\"]\n  44 -> 49 [size =\"16039936\"]\n  45 [size=\"18176000\", alpha=\"0.04\", expect_size=\"7270400\"] \n  46 [size=\"34744320\", alpha=\"0.14\", expect_size=\"13897728\"] \n  47 [size=\"98992640\", alpha=\"0.07\", expect_size=\"39597056\"] \n  48 [size=\"88156160\", alpha=\"0.17\", expect_size=\"35262464\"] \n  49 [size=\"24256000\", alpha=\"0.14\", expect_size=\"9702400\"] \n  50 [size=\"30341120\", alpha=\"0.07\", expect_size=\"12136448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.529.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18741760\", alpha=\"0.12\", expect_size=\"7496704\"] \n  1 -> 29 [size =\"7496704\"]\n  1 -> 32 [size =\"7496704\"]\n  2 [size=\"71004160\", alpha=\"0.14\", expect_size=\"28401664\"] \n  2 -> 27 [size =\"28401664\"]\n  2 -> 28 [size =\"28401664\"]\n  2 -> 29 [size =\"28401664\"]\n  2 -> 35 [size =\"28401664\"]\n  3 [size=\"44047360\", alpha=\"0.01\", expect_size=\"17618944\"] \n  3 -> 21 [size =\"17618944\"]\n  3 -> 24 [size =\"17618944\"]\n  3 -> 26 [size =\"17618944\"]\n  3 -> 28 [size =\"17618944\"]\n  3 -> 31 [size =\"17618944\"]\n  3 -> 33 [size =\"17618944\"]\n  3 -> 34 [size =\"17618944\"]\n  3 -> 36 [size =\"17618944\"]\n  4 [size=\"69376000\", alpha=\"0.01\", expect_size=\"27750400\"] \n  4 -> 23 [size =\"27750400\"]\n  4 -> 24 [size =\"27750400\"]\n  4 -> 26 [size =\"27750400\"]\n  4 -> 30 [size =\"27750400\"]\n  5 [size=\"62589440\", alpha=\"0.07\", expect_size=\"25035776\"] \n  5 -> 23 [size =\"25035776\"]\n  5 -> 26 [size =\"25035776\"]\n  5 -> 30 [size =\"25035776\"]\n  6 [size=\"103836160\", alpha=\"0.19\", expect_size=\"41534464\"] \n  6 -> 21 [size =\"41534464\"]\n  6 -> 28 [size =\"41534464\"]\n  6 -> 29 [size =\"41534464\"]\n  6 -> 36 [size =\"41534464\"]\n  7 [size=\"68162560\", alpha=\"0.18\", expect_size=\"27265024\"] \n  7 -> 23 [size =\"27265024\"]\n  7 -> 29 [size =\"27265024\"]\n  7 -> 31 [size =\"27265024\"]\n  7 -> 36 [size =\"27265024\"]\n  8 [size=\"53314560\", alpha=\"0.19\", expect_size=\"21325824\"] \n  8 -> 23 [size =\"21325824\"]\n  8 -> 24 [size =\"21325824\"]\n  8 -> 34 [size =\"21325824\"]\n  9 [size=\"120872960\", alpha=\"0.02\", expect_size=\"48349184\"] \n  9 -> 23 [size =\"48349184\"]\n  9 -> 26 [size =\"48349184\"]\n  9 -> 29 [size =\"48349184\"]\n  9 -> 30 [size =\"48349184\"]\n  9 -> 31 [size =\"48349184\"]\n  10 [size=\"102727680\", alpha=\"0.05\", expect_size=\"41091072\"] \n  10 -> 24 [size =\"41091072\"]\n  10 -> 25 [size =\"41091072\"]\n  10 -> 29 [size =\"41091072\"]\n  10 -> 30 [size =\"41091072\"]\n  10 -> 33 [size =\"41091072\"]\n  11 [size=\"25246720\", alpha=\"0.08\", expect_size=\"10098688\"] \n  11 -> 21 [size =\"10098688\"]\n  11 -> 22 [size =\"10098688\"]\n  11 -> 24 [size =\"10098688\"]\n  11 -> 26 [size =\"10098688\"]\n  11 -> 28 [size =\"10098688\"]\n  12 [size=\"95416320\", alpha=\"0.14\", expect_size=\"38166528\"] \n  12 -> 21 [size =\"38166528\"]\n  12 -> 22 [size =\"38166528\"]\n  12 -> 24 [size =\"38166528\"]\n  12 -> 25 [size =\"38166528\"]\n  12 -> 26 [size =\"38166528\"]\n  13 [size=\"60779520\", alpha=\"0.02\", expect_size=\"24311808\"] \n  13 -> 21 [size =\"24311808\"]\n  13 -> 23 [size =\"24311808\"]\n  13 -> 24 [size =\"24311808\"]\n  13 -> 29 [size =\"24311808\"]\n  13 -> 31 [size =\"24311808\"]\n  14 [size=\"68587520\", alpha=\"0.08\", expect_size=\"27435008\"] \n  14 -> 21 [size =\"27435008\"]\n  15 [size=\"74383360\", alpha=\"0.17\", expect_size=\"29753344\"] \n  15 -> 21 [size =\"29753344\"]\n  15 -> 27 [size =\"29753344\"]\n  15 -> 28 [size =\"29753344\"]\n  15 -> 30 [size =\"29753344\"]\n  16 [size=\"114590720\", alpha=\"0.11\", expect_size=\"45836288\"] \n  16 -> 21 [size =\"45836288\"]\n  16 -> 24 [size =\"45836288\"]\n  16 -> 27 [size =\"45836288\"]\n  16 -> 28 [size =\"45836288\"]\n  16 -> 31 [size =\"45836288\"]\n  17 [size=\"108687360\", alpha=\"0.05\", expect_size=\"43474944\"] \n  17 -> 21 [size =\"43474944\"]\n  17 -> 28 [size =\"43474944\"]\n  17 -> 31 [size =\"43474944\"]\n  18 [size=\"96634880\", alpha=\"0.18\", expect_size=\"38653952\"] \n  18 -> 21 [size =\"38653952\"]\n  18 -> 23 [size =\"38653952\"]\n  18 -> 24 [size =\"38653952\"]\n  18 -> 28 [size =\"38653952\"]\n  18 -> 31 [size =\"38653952\"]\n  18 -> 33 [size =\"38653952\"]\n  19 [size=\"92869120\", alpha=\"0.10\", expect_size=\"37147648\"] \n  19 -> 23 [size =\"37147648\"]\n  19 -> 28 [size =\"37147648\"]\n  19 -> 36 [size =\"37147648\"]\n  20 [size=\"107463680\", alpha=\"0.16\", expect_size=\"42985472\"] \n  20 -> 24 [size =\"42985472\"]\n  20 -> 26 [size =\"42985472\"]\n  20 -> 27 [size =\"42985472\"]\n  20 -> 30 [size =\"42985472\"]\n  20 -> 31 [size =\"42985472\"]\n  20 -> 36 [size =\"42985472\"]\n  21 [size=\"16540160\", alpha=\"0.02\", expect_size=\"6616064\"] \n  21 -> 37 [size =\"6616064\"]\n  21 -> 38 [size =\"6616064\"]\n  21 -> 39 [size =\"6616064\"]\n  21 -> 44 [size =\"6616064\"]\n  22 [size=\"63288320\", alpha=\"0.18\", expect_size=\"25315328\"] \n  22 -> 39 [size =\"25315328\"]\n  22 -> 41 [size =\"25315328\"]\n  22 -> 44 [size =\"25315328\"]\n  22 -> 45 [size =\"25315328\"]\n  23 [size=\"29122560\", alpha=\"0.20\", expect_size=\"11649024\"] \n  23 -> 41 [size =\"11649024\"]\n  23 -> 42 [size =\"11649024\"]\n  23 -> 44 [size =\"11649024\"]\n  24 [size=\"41326080\", alpha=\"0.11\", expect_size=\"16530432\"] \n  24 -> 41 [size =\"16530432\"]\n  24 -> 42 [size =\"16530432\"]\n  25 [size=\"89049600\", alpha=\"0.10\", expect_size=\"35619840\"] \n  25 -> 39 [size =\"35619840\"]\n  25 -> 42 [size =\"35619840\"]\n  25 -> 45 [size =\"35619840\"]\n  26 [size=\"72143360\", alpha=\"0.05\", expect_size=\"28857344\"] \n  26 -> 37 [size =\"28857344\"]\n  26 -> 41 [size =\"28857344\"]\n  26 -> 42 [size =\"28857344\"]\n  26 -> 44 [size =\"28857344\"]\n  26 -> 45 [size =\"28857344\"]\n  27 [size=\"17256960\", alpha=\"0.09\", expect_size=\"6902784\"] \n  27 -> 37 [size =\"6902784\"]\n  27 -> 39 [size =\"6902784\"]\n  27 -> 43 [size =\"6902784\"]\n  27 -> 45 [size =\"6902784\"]\n  27 -> 45 [size =\"6902784\"]\n  28 [size=\"44231680\", alpha=\"0.20\", expect_size=\"17692672\"] \n  28 -> 37 [size =\"17692672\"]\n  28 -> 40 [size =\"17692672\"]\n  28 -> 41 [size =\"17692672\"]\n  28 -> 45 [size =\"17692672\"]\n  29 [size=\"29941760\", alpha=\"0.09\", expect_size=\"11976704\"] \n  29 -> 38 [size =\"11976704\"]\n  29 -> 39 [size =\"11976704\"]\n  29 -> 44 [size =\"11976704\"]\n  29 -> 45 [size =\"11976704\"]\n  30 [size=\"91230720\", alpha=\"0.13\", expect_size=\"36492288\"] \n  30 -> 38 [size =\"36492288\"]\n  30 -> 39 [size =\"36492288\"]\n  30 -> 40 [size =\"36492288\"]\n  30 -> 42 [size =\"36492288\"]\n  31 [size=\"66472960\", alpha=\"0.20\", expect_size=\"26589184\"] \n  31 -> 41 [size =\"26589184\"]\n  32 [size=\"79270400\", alpha=\"0.00\", expect_size=\"31708160\"] \n  32 -> 38 [size =\"31708160\"]\n  32 -> 41 [size =\"31708160\"]\n  32 -> 42 [size =\"31708160\"]\n  32 -> 45 [size =\"31708160\"]\n  33 [size=\"69552640\", alpha=\"0.09\", expect_size=\"27821056\"] \n  33 -> 40 [size =\"27821056\"]\n  33 -> 41 [size =\"27821056\"]\n  33 -> 42 [size =\"27821056\"]\n  33 -> 44 [size =\"27821056\"]\n  34 [size=\"68264960\", alpha=\"0.06\", expect_size=\"27305984\"] \n  34 -> 40 [size =\"27305984\"]\n  34 -> 42 [size =\"27305984\"]\n  35 [size=\"13708800\", alpha=\"0.15\", expect_size=\"5483520\"] \n  35 -> 44 [size =\"5483520\"]\n  36 [size=\"73338880\", alpha=\"0.00\", expect_size=\"29335552\"] \n  36 -> 37 [size =\"29335552\"]\n  36 -> 38 [size =\"29335552\"]\n  37 [size=\"101949440\", alpha=\"0.02\", expect_size=\"40779776\"] \n  37 -> 47 [size =\"40779776\"]\n  38 [size=\"36636160\", alpha=\"0.18\", expect_size=\"14654464\"] \n  38 -> 49 [size =\"14654464\"]\n  38 -> 50 [size =\"14654464\"]\n  39 [size=\"35571200\", alpha=\"0.07\", expect_size=\"14228480\"] \n  39 -> 48 [size =\"14228480\"]\n  39 -> 49 [size =\"14228480\"]\n  40 [size=\"88558080\", alpha=\"0.12\", expect_size=\"35423232\"] \n  40 -> 47 [size =\"35423232\"]\n  40 -> 50 [size =\"35423232\"]\n  41 [size=\"49287680\", alpha=\"0.18\", expect_size=\"19715072\"] \n  41 -> 46 [size =\"19715072\"]\n  41 -> 49 [size =\"19715072\"]\n  42 [size=\"47864320\", alpha=\"0.13\", expect_size=\"19145728\"] \n  42 -> 49 [size =\"19145728\"]\n  43 [size=\"48637440\", alpha=\"0.10\", expect_size=\"19454976\"] \n  43 -> 48 [size =\"19454976\"]\n  44 [size=\"99276800\", alpha=\"0.12\", expect_size=\"39710720\"] \n  44 -> 50 [size =\"39710720\"]\n  45 [size=\"19338240\", alpha=\"0.07\", expect_size=\"7735296\"] \n  45 -> 50 [size =\"7735296\"]\n  46 [size=\"106027520\", alpha=\"0.11\", expect_size=\"42411008\"] \n  47 [size=\"106936320\", alpha=\"0.17\", expect_size=\"42774528\"] \n  48 [size=\"117642240\", alpha=\"0.08\", expect_size=\"47056896\"] \n  49 [size=\"103710720\", alpha=\"0.01\", expect_size=\"41484288\"] \n  50 [size=\"26941440\", alpha=\"0.08\", expect_size=\"10776576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120193707\", alpha=\"0.03\", expect_size=\"36058112\"] \n  1 -> 33 [size =\"36058112\"]\n  1 -> 35 [size =\"36058112\"]\n  1 -> 36 [size =\"36058112\"]\n  1 -> 37 [size =\"36058112\"]\n  1 -> 46 [size =\"36058112\"]\n  2 [size=\"60852907\", alpha=\"0.18\", expect_size=\"18255872\"] \n  2 -> 35 [size =\"18255872\"]\n  2 -> 37 [size =\"18255872\"]\n  2 -> 39 [size =\"18255872\"]\n  2 -> 49 [size =\"18255872\"]\n  3 [size=\"152999253\", alpha=\"0.02\", expect_size=\"45899776\"] \n  3 -> 34 [size =\"45899776\"]\n  3 -> 39 [size =\"45899776\"]\n  3 -> 48 [size =\"45899776\"]\n  3 -> 50 [size =\"45899776\"]\n  4 [size=\"160686080\", alpha=\"0.07\", expect_size=\"48205824\"] \n  4 -> 40 [size =\"48205824\"]\n  4 -> 42 [size =\"48205824\"]\n  5 [size=\"111766187\", alpha=\"0.14\", expect_size=\"33529856\"] \n  5 -> 34 [size =\"33529856\"]\n  5 -> 35 [size =\"33529856\"]\n  5 -> 39 [size =\"33529856\"]\n  5 -> 40 [size =\"33529856\"]\n  5 -> 46 [size =\"33529856\"]\n  5 -> 49 [size =\"33529856\"]\n  5 -> 50 [size =\"33529856\"]\n  6 [size=\"117995520\", alpha=\"0.06\", expect_size=\"35398656\"] \n  6 -> 33 [size =\"35398656\"]\n  6 -> 37 [size =\"35398656\"]\n  6 -> 38 [size =\"35398656\"]\n  6 -> 40 [size =\"35398656\"]\n  6 -> 44 [size =\"35398656\"]\n  6 -> 46 [size =\"35398656\"]\n  6 -> 49 [size =\"35398656\"]\n  7 [size=\"128884053\", alpha=\"0.02\", expect_size=\"38665216\"] \n  7 -> 36 [size =\"38665216\"]\n  7 -> 40 [size =\"38665216\"]\n  7 -> 42 [size =\"38665216\"]\n  7 -> 47 [size =\"38665216\"]\n  8 [size=\"23825067\", alpha=\"0.13\", expect_size=\"7147520\"] \n  8 -> 40 [size =\"7147520\"]\n  8 -> 45 [size =\"7147520\"]\n  8 -> 48 [size =\"7147520\"]\n  8 -> 49 [size =\"7147520\"]\n  9 [size=\"142305280\", alpha=\"0.11\", expect_size=\"42691584\"] \n  9 -> 36 [size =\"42691584\"]\n  9 -> 42 [size =\"42691584\"]\n  9 -> 48 [size =\"42691584\"]\n  10 [size=\"76079787\", alpha=\"0.19\", expect_size=\"22823936\"] \n  10 -> 33 [size =\"22823936\"]\n  10 -> 34 [size =\"22823936\"]\n  10 -> 36 [size =\"22823936\"]\n  10 -> 38 [size =\"22823936\"]\n  10 -> 40 [size =\"22823936\"]\n  10 -> 42 [size =\"22823936\"]\n  10 -> 43 [size =\"22823936\"]\n  10 -> 50 [size =\"22823936\"]\n  11 [size=\"148360533\", alpha=\"0.07\", expect_size=\"44508160\"] \n  11 -> 39 [size =\"44508160\"]\n  11 -> 41 [size =\"44508160\"]\n  11 -> 42 [size =\"44508160\"]\n  11 -> 46 [size =\"44508160\"]\n  11 -> 48 [size =\"44508160\"]\n  12 [size=\"168151040\", alpha=\"0.15\", expect_size=\"50445312\"] \n  12 -> 33 [size =\"50445312\"]\n  12 -> 36 [size =\"50445312\"]\n  12 -> 39 [size =\"50445312\"]\n  12 -> 40 [size =\"50445312\"]\n  12 -> 41 [size =\"50445312\"]\n  12 -> 42 [size =\"50445312\"]\n  12 -> 44 [size =\"50445312\"]\n  12 -> 46 [size =\"50445312\"]\n  12 -> 48 [size =\"50445312\"]\n  12 -> 50 [size =\"50445312\"]\n  13 [size=\"153204053\", alpha=\"0.18\", expect_size=\"45961216\"] \n  13 -> 33 [size =\"45961216\"]\n  13 -> 35 [size =\"45961216\"]\n  13 -> 38 [size =\"45961216\"]\n  13 -> 41 [size =\"45961216\"]\n  13 -> 43 [size =\"45961216\"]\n  13 -> 44 [size =\"45961216\"]\n  13 -> 44 [size =\"45961216\"]\n  13 -> 48 [size =\"45961216\"]\n  14 [size=\"172550827\", alpha=\"0.15\", expect_size=\"51765248\"] \n  14 -> 33 [size =\"51765248\"]\n  14 -> 35 [size =\"51765248\"]\n  14 -> 40 [size =\"51765248\"]\n  14 -> 42 [size =\"51765248\"]\n  14 -> 44 [size =\"51765248\"]\n  14 -> 50 [size =\"51765248\"]\n  15 [size=\"68099413\", alpha=\"0.08\", expect_size=\"20429824\"] \n  15 -> 33 [size =\"20429824\"]\n  15 -> 35 [size =\"20429824\"]\n  15 -> 43 [size =\"20429824\"]\n  15 -> 44 [size =\"20429824\"]\n  15 -> 45 [size =\"20429824\"]\n  15 -> 46 [size =\"20429824\"]\n  15 -> 49 [size =\"20429824\"]\n  16 [size=\"20384427\", alpha=\"0.04\", expect_size=\"6115328\"] \n  16 -> 34 [size =\"6115328\"]\n  16 -> 35 [size =\"6115328\"]\n  16 -> 40 [size =\"6115328\"]\n  16 -> 46 [size =\"6115328\"]\n  16 -> 50 [size =\"6115328\"]\n  17 [size=\"69625173\", alpha=\"0.02\", expect_size=\"20887552\"] \n  17 -> 34 [size =\"20887552\"]\n  17 -> 35 [size =\"20887552\"]\n  17 -> 40 [size =\"20887552\"]\n  17 -> 41 [size =\"20887552\"]\n  17 -> 42 [size =\"20887552\"]\n  17 -> 48 [size =\"20887552\"]\n  18 [size=\"88760320\", alpha=\"0.03\", expect_size=\"26628096\"] \n  18 -> 37 [size =\"26628096\"]\n  18 -> 43 [size =\"26628096\"]\n  18 -> 49 [size =\"26628096\"]\n  19 [size=\"34225493\", alpha=\"0.02\", expect_size=\"10267648\"] \n  19 -> 36 [size =\"10267648\"]\n  19 -> 41 [size =\"10267648\"]\n  19 -> 48 [size =\"10267648\"]\n  20 [size=\"119896747\", alpha=\"0.08\", expect_size=\"35969024\"] \n  20 -> 33 [size =\"35969024\"]\n  20 -> 36 [size =\"35969024\"]\n  20 -> 41 [size =\"35969024\"]\n  20 -> 49 [size =\"35969024\"]\n  20 -> 50 [size =\"35969024\"]\n  21 [size=\"110701227\", alpha=\"0.06\", expect_size=\"33210368\"] \n  21 -> 33 [size =\"33210368\"]\n  21 -> 35 [size =\"33210368\"]\n  21 -> 39 [size =\"33210368\"]\n  21 -> 41 [size =\"33210368\"]\n  21 -> 50 [size =\"33210368\"]\n  22 [size=\"169082880\", alpha=\"0.10\", expect_size=\"50724864\"] \n  22 -> 33 [size =\"50724864\"]\n  22 -> 35 [size =\"50724864\"]\n  22 -> 36 [size =\"50724864\"]\n  22 -> 40 [size =\"50724864\"]\n  22 -> 41 [size =\"50724864\"]\n  22 -> 44 [size =\"50724864\"]\n  23 [size=\"133041493\", alpha=\"0.11\", expect_size=\"39912448\"] \n  23 -> 33 [size =\"39912448\"]\n  23 -> 34 [size =\"39912448\"]\n  23 -> 35 [size =\"39912448\"]\n  23 -> 36 [size =\"39912448\"]\n  23 -> 39 [size =\"39912448\"]\n  23 -> 40 [size =\"39912448\"]\n  23 -> 41 [size =\"39912448\"]\n  23 -> 43 [size =\"39912448\"]\n  23 -> 44 [size =\"39912448\"]\n  23 -> 45 [size =\"39912448\"]\n  23 -> 46 [size =\"39912448\"]\n  23 -> 49 [size =\"39912448\"]\n  23 -> 50 [size =\"39912448\"]\n  24 [size=\"119220907\", alpha=\"0.10\", expect_size=\"35766272\"] \n  24 -> 34 [size =\"35766272\"]\n  24 -> 36 [size =\"35766272\"]\n  24 -> 44 [size =\"35766272\"]\n  24 -> 49 [size =\"35766272\"]\n  25 [size=\"81438720\", alpha=\"0.02\", expect_size=\"24431616\"] \n  25 -> 35 [size =\"24431616\"]\n  25 -> 44 [size =\"24431616\"]\n  25 -> 44 [size =\"24431616\"]\n  25 -> 46 [size =\"24431616\"]\n  25 -> 49 [size =\"24431616\"]\n  26 [size=\"144110933\", alpha=\"0.06\", expect_size=\"43233280\"] \n  26 -> 37 [size =\"43233280\"]\n  26 -> 40 [size =\"43233280\"]\n  26 -> 43 [size =\"43233280\"]\n  26 -> 46 [size =\"43233280\"]\n  26 -> 47 [size =\"43233280\"]\n  27 [size=\"17486507\", alpha=\"0.04\", expect_size=\"5245952\"] \n  27 -> 45 [size =\"5245952\"]\n  27 -> 46 [size =\"5245952\"]\n  27 -> 50 [size =\"5245952\"]\n  28 [size=\"34996907\", alpha=\"0.03\", expect_size=\"10499072\"] \n  28 -> 34 [size =\"10499072\"]\n  28 -> 35 [size =\"10499072\"]\n  28 -> 40 [size =\"10499072\"]\n  28 -> 41 [size =\"10499072\"]\n  28 -> 42 [size =\"10499072\"]\n  28 -> 44 [size =\"10499072\"]\n  28 -> 46 [size =\"10499072\"]\n  28 -> 48 [size =\"10499072\"]\n  29 [size=\"58432853\", alpha=\"0.18\", expect_size=\"17529856\"] \n  29 -> 41 [size =\"17529856\"]\n  29 -> 42 [size =\"17529856\"]\n  29 -> 46 [size =\"17529856\"]\n  29 -> 50 [size =\"17529856\"]\n  30 [size=\"76697600\", alpha=\"0.01\", expect_size=\"23009280\"] \n  30 -> 35 [size =\"23009280\"]\n  30 -> 36 [size =\"23009280\"]\n  30 -> 38 [size =\"23009280\"]\n  30 -> 41 [size =\"23009280\"]\n  30 -> 46 [size =\"23009280\"]\n  30 -> 49 [size =\"23009280\"]\n  31 [size=\"136854187\", alpha=\"0.20\", expect_size=\"41056256\"] \n  31 -> 42 [size =\"41056256\"]\n  31 -> 46 [size =\"41056256\"]\n  31 -> 49 [size =\"41056256\"]\n  32 [size=\"27047253\", alpha=\"0.18\", expect_size=\"8114176\"] \n  32 -> 36 [size =\"8114176\"]\n  32 -> 37 [size =\"8114176\"]\n  32 -> 41 [size =\"8114176\"]\n  32 -> 44 [size =\"8114176\"]\n  32 -> 46 [size =\"8114176\"]\n  32 -> 48 [size =\"8114176\"]\n  33 [size=\"105229653\", alpha=\"0.13\", expect_size=\"31568896\"] \n  34 [size=\"35058347\", alpha=\"0.09\", expect_size=\"10517504\"] \n  35 [size=\"117039787\", alpha=\"0.10\", expect_size=\"35111936\"] \n  36 [size=\"130891093\", alpha=\"0.12\", expect_size=\"39267328\"] \n  37 [size=\"19845120\", alpha=\"0.01\", expect_size=\"5953536\"] \n  38 [size=\"52599467\", alpha=\"0.19\", expect_size=\"15779840\"] \n  39 [size=\"78219947\", alpha=\"0.18\", expect_size=\"23465984\"] \n  40 [size=\"64245760\", alpha=\"0.11\", expect_size=\"19273728\"] \n  41 [size=\"69287253\", alpha=\"0.16\", expect_size=\"20786176\"] \n  42 [size=\"66938880\", alpha=\"0.20\", expect_size=\"20081664\"] \n  43 [size=\"50592427\", alpha=\"0.19\", expect_size=\"15177728\"] \n  44 [size=\"155979093\", alpha=\"0.10\", expect_size=\"46793728\"] \n  45 [size=\"66314240\", alpha=\"0.10\", expect_size=\"19894272\"] \n  46 [size=\"146790400\", alpha=\"0.06\", expect_size=\"44037120\"] \n  47 [size=\"85749760\", alpha=\"0.02\", expect_size=\"25724928\"] \n  48 [size=\"92624213\", alpha=\"0.20\", expect_size=\"27787264\"] \n  49 [size=\"81414827\", alpha=\"0.03\", expect_size=\"24424448\"] \n  50 [size=\"68870827\", alpha=\"0.14\", expect_size=\"20661248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.530.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94366720\", alpha=\"0.20\", expect_size=\"37746688\"] \n  1 -> 2 [size =\"37746688\"]\n  2 [size=\"86266880\", alpha=\"0.09\", expect_size=\"34506752\"] \n  2 -> 3 [size =\"34506752\"]\n  3 [size=\"14195200\", alpha=\"0.14\", expect_size=\"5678080\"] \n  3 -> 4 [size =\"5678080\"]\n  4 [size=\"126663680\", alpha=\"0.08\", expect_size=\"50665472\"] \n  4 -> 5 [size =\"50665472\"]\n  5 [size=\"89418240\", alpha=\"0.07\", expect_size=\"35767296\"] \n  5 -> 6 [size =\"35767296\"]\n  6 [size=\"38735360\", alpha=\"0.07\", expect_size=\"15494144\"] \n  6 -> 7 [size =\"15494144\"]\n  7 [size=\"110507520\", alpha=\"0.07\", expect_size=\"44203008\"] \n  7 -> 8 [size =\"44203008\"]\n  8 [size=\"72606720\", alpha=\"0.07\", expect_size=\"29042688\"] \n  8 -> 9 [size =\"29042688\"]\n  9 [size=\"81500160\", alpha=\"0.19\", expect_size=\"32600064\"] \n  9 -> 10 [size =\"32600064\"]\n  10 [size=\"50695680\", alpha=\"0.16\", expect_size=\"20278272\"] \n  10 -> 11 [size =\"20278272\"]\n  11 [size=\"31196160\", alpha=\"0.09\", expect_size=\"12478464\"] \n  11 -> 12 [size =\"12478464\"]\n  12 [size=\"29286400\", alpha=\"0.19\", expect_size=\"11714560\"] \n  12 -> 13 [size =\"11714560\"]\n  13 [size=\"81295360\", alpha=\"0.15\", expect_size=\"32518144\"] \n  13 -> 14 [size =\"32518144\"]\n  14 [size=\"48296960\", alpha=\"0.12\", expect_size=\"19318784\"] \n  14 -> 15 [size =\"19318784\"]\n  15 [size=\"96558080\", alpha=\"0.14\", expect_size=\"38623232\"] \n  15 -> 16 [size =\"38623232\"]\n  16 [size=\"21496320\", alpha=\"0.04\", expect_size=\"8598528\"] \n  16 -> 17 [size =\"8598528\"]\n  17 [size=\"62300160\", alpha=\"0.10\", expect_size=\"24920064\"] \n  17 -> 18 [size =\"24920064\"]\n  18 [size=\"105466880\", alpha=\"0.13\", expect_size=\"42186752\"] \n  18 -> 19 [size =\"42186752\"]\n  19 [size=\"28121600\", alpha=\"0.05\", expect_size=\"11248640\"] \n  19 -> 20 [size =\"11248640\"]\n  20 [size=\"21460480\", alpha=\"0.04\", expect_size=\"8584192\"] \n  20 -> 21 [size =\"8584192\"]\n  21 [size=\"117452800\", alpha=\"0.17\", expect_size=\"46981120\"] \n  21 -> 22 [size =\"46981120\"]\n  22 [size=\"53747200\", alpha=\"0.03\", expect_size=\"21498880\"] \n  22 -> 23 [size =\"21498880\"]\n  23 [size=\"50393600\", alpha=\"0.08\", expect_size=\"20157440\"] \n  23 -> 24 [size =\"20157440\"]\n  24 [size=\"21608960\", alpha=\"0.13\", expect_size=\"8643584\"] \n  24 -> 25 [size =\"8643584\"]\n  25 [size=\"91712000\", alpha=\"0.10\", expect_size=\"36684800\"] \n  25 -> 26 [size =\"36684800\"]\n  26 [size=\"56901120\", alpha=\"0.12\", expect_size=\"22760448\"] \n  26 -> 27 [size =\"22760448\"]\n  27 [size=\"78740480\", alpha=\"0.11\", expect_size=\"31496192\"] \n  27 -> 28 [size =\"31496192\"]\n  28 [size=\"21800960\", alpha=\"0.19\", expect_size=\"8720384\"] \n  28 -> 29 [size =\"8720384\"]\n  29 [size=\"101204480\", alpha=\"0.20\", expect_size=\"40481792\"] \n  29 -> 30 [size =\"40481792\"]\n  30 [size=\"15052800\", alpha=\"0.06\", expect_size=\"6021120\"] \n  30 -> 31 [size =\"6021120\"]\n  31 [size=\"41415680\", alpha=\"0.16\", expect_size=\"16566272\"] \n  31 -> 32 [size =\"16566272\"]\n  32 [size=\"25623040\", alpha=\"0.08\", expect_size=\"10249216\"] \n  32 -> 33 [size =\"10249216\"]\n  33 [size=\"40834560\", alpha=\"0.12\", expect_size=\"16333824\"] \n  33 -> 34 [size =\"16333824\"]\n  34 [size=\"88145920\", alpha=\"0.02\", expect_size=\"35258368\"] \n  34 -> 35 [size =\"35258368\"]\n  35 [size=\"45181440\", alpha=\"0.06\", expect_size=\"18072576\"] \n  35 -> 36 [size =\"18072576\"]\n  36 [size=\"106216960\", alpha=\"0.11\", expect_size=\"42486784\"] \n  36 -> 37 [size =\"42486784\"]\n  37 [size=\"60956160\", alpha=\"0.05\", expect_size=\"24382464\"] \n  37 -> 38 [size =\"24382464\"]\n  38 [size=\"124764160\", alpha=\"0.15\", expect_size=\"49905664\"] \n  38 -> 39 [size =\"49905664\"]\n  39 [size=\"121213440\", alpha=\"0.07\", expect_size=\"48485376\"] \n  39 -> 40 [size =\"48485376\"]\n  40 [size=\"118694400\", alpha=\"0.00\", expect_size=\"47477760\"] \n  40 -> 41 [size =\"47477760\"]\n  41 [size=\"36835840\", alpha=\"0.11\", expect_size=\"14734336\"] \n  41 -> 42 [size =\"14734336\"]\n  42 [size=\"129658880\", alpha=\"0.09\", expect_size=\"51863552\"] \n  42 -> 43 [size =\"51863552\"]\n  43 [size=\"59443200\", alpha=\"0.14\", expect_size=\"23777280\"] \n  43 -> 44 [size =\"23777280\"]\n  44 [size=\"130314240\", alpha=\"0.19\", expect_size=\"52125696\"] \n  44 -> 45 [size =\"52125696\"]\n  45 [size=\"23567360\", alpha=\"0.18\", expect_size=\"9426944\"] \n  45 -> 46 [size =\"9426944\"]\n  46 [size=\"58583040\", alpha=\"0.05\", expect_size=\"23433216\"] \n  46 -> 47 [size =\"23433216\"]\n  47 [size=\"125785600\", alpha=\"0.03\", expect_size=\"50314240\"] \n  47 -> 48 [size =\"50314240\"]\n  48 [size=\"38446080\", alpha=\"0.02\", expect_size=\"15378432\"] \n  48 -> 49 [size =\"15378432\"]\n  49 [size=\"124846080\", alpha=\"0.16\", expect_size=\"49938432\"] \n  49 -> 50 [size =\"49938432\"]\n  50 [size=\"46115840\", alpha=\"0.10\", expect_size=\"18446336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.531.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48492544\", alpha=\"0.16\", expect_size=\"24246272\"] \n  1 -> 20 [size =\"24246272\"]\n  1 -> 24 [size =\"24246272\"]\n  1 -> 26 [size =\"24246272\"]\n  1 -> 27 [size =\"24246272\"]\n  1 -> 28 [size =\"24246272\"]\n  1 -> 29 [size =\"24246272\"]\n  1 -> 30 [size =\"24246272\"]\n  1 -> 32 [size =\"24246272\"]\n  1 -> 40 [size =\"24246272\"]\n  1 -> 40 [size =\"24246272\"]\n  1 -> 42 [size =\"24246272\"]\n  1 -> 43 [size =\"24246272\"]\n  1 -> 44 [size =\"24246272\"]\n  1 -> 46 [size =\"24246272\"]\n  2 [size=\"27809792\", alpha=\"0.01\", expect_size=\"13904896\"] \n  2 -> 18 [size =\"13904896\"]\n  2 -> 22 [size =\"13904896\"]\n  2 -> 29 [size =\"13904896\"]\n  2 -> 30 [size =\"13904896\"]\n  2 -> 41 [size =\"13904896\"]\n  2 -> 50 [size =\"13904896\"]\n  3 [size=\"77568000\", alpha=\"0.02\", expect_size=\"38784000\"] \n  3 -> 19 [size =\"38784000\"]\n  3 -> 25 [size =\"38784000\"]\n  3 -> 28 [size =\"38784000\"]\n  3 -> 29 [size =\"38784000\"]\n  3 -> 30 [size =\"38784000\"]\n  3 -> 32 [size =\"38784000\"]\n  3 -> 35 [size =\"38784000\"]\n  3 -> 45 [size =\"38784000\"]\n  3 -> 46 [size =\"38784000\"]\n  3 -> 47 [size =\"38784000\"]\n  3 -> 49 [size =\"38784000\"]\n  4 [size=\"96315392\", alpha=\"0.15\", expect_size=\"48157696\"] \n  4 -> 18 [size =\"48157696\"]\n  4 -> 23 [size =\"48157696\"]\n  4 -> 29 [size =\"48157696\"]\n  4 -> 31 [size =\"48157696\"]\n  4 -> 36 [size =\"48157696\"]\n  4 -> 37 [size =\"48157696\"]\n  4 -> 39 [size =\"48157696\"]\n  4 -> 46 [size =\"48157696\"]\n  5 [size=\"60485632\", alpha=\"0.02\", expect_size=\"30242816\"] \n  5 -> 20 [size =\"30242816\"]\n  5 -> 22 [size =\"30242816\"]\n  5 -> 25 [size =\"30242816\"]\n  5 -> 27 [size =\"30242816\"]\n  5 -> 30 [size =\"30242816\"]\n  5 -> 33 [size =\"30242816\"]\n  5 -> 35 [size =\"30242816\"]\n  5 -> 39 [size =\"30242816\"]\n  5 -> 40 [size =\"30242816\"]\n  5 -> 49 [size =\"30242816\"]\n  6 [size=\"100499456\", alpha=\"0.06\", expect_size=\"50249728\"] \n  6 -> 20 [size =\"50249728\"]\n  6 -> 28 [size =\"50249728\"]\n  6 -> 29 [size =\"50249728\"]\n  6 -> 33 [size =\"50249728\"]\n  6 -> 45 [size =\"50249728\"]\n  6 -> 49 [size =\"50249728\"]\n  7 [size=\"72577024\", alpha=\"0.18\", expect_size=\"36288512\"] \n  7 -> 18 [size =\"36288512\"]\n  7 -> 19 [size =\"36288512\"]\n  7 -> 28 [size =\"36288512\"]\n  7 -> 30 [size =\"36288512\"]\n  7 -> 33 [size =\"36288512\"]\n  7 -> 36 [size =\"36288512\"]\n  7 -> 41 [size =\"36288512\"]\n  7 -> 46 [size =\"36288512\"]\n  7 -> 47 [size =\"36288512\"]\n  7 -> 48 [size =\"36288512\"]\n  7 -> 50 [size =\"36288512\"]\n  8 [size=\"89284608\", alpha=\"0.03\", expect_size=\"44642304\"] \n  8 -> 18 [size =\"44642304\"]\n  8 -> 20 [size =\"44642304\"]\n  8 -> 23 [size =\"44642304\"]\n  8 -> 25 [size =\"44642304\"]\n  8 -> 28 [size =\"44642304\"]\n  8 -> 29 [size =\"44642304\"]\n  8 -> 31 [size =\"44642304\"]\n  8 -> 32 [size =\"44642304\"]\n  8 -> 36 [size =\"44642304\"]\n  8 -> 41 [size =\"44642304\"]\n  8 -> 43 [size =\"44642304\"]\n  8 -> 46 [size =\"44642304\"]\n  8 -> 47 [size =\"44642304\"]\n  8 -> 50 [size =\"44642304\"]\n  9 [size=\"86843392\", alpha=\"0.02\", expect_size=\"43421696\"] \n  9 -> 19 [size =\"43421696\"]\n  9 -> 21 [size =\"43421696\"]\n  9 -> 22 [size =\"43421696\"]\n  9 -> 23 [size =\"43421696\"]\n  9 -> 24 [size =\"43421696\"]\n  9 -> 29 [size =\"43421696\"]\n  9 -> 30 [size =\"43421696\"]\n  9 -> 31 [size =\"43421696\"]\n  9 -> 36 [size =\"43421696\"]\n  9 -> 39 [size =\"43421696\"]\n  9 -> 40 [size =\"43421696\"]\n  9 -> 43 [size =\"43421696\"]\n  9 -> 50 [size =\"43421696\"]\n  10 [size=\"90013696\", alpha=\"0.03\", expect_size=\"45006848\"] \n  10 -> 20 [size =\"45006848\"]\n  10 -> 24 [size =\"45006848\"]\n  10 -> 28 [size =\"45006848\"]\n  10 -> 30 [size =\"45006848\"]\n  10 -> 33 [size =\"45006848\"]\n  10 -> 34 [size =\"45006848\"]\n  10 -> 35 [size =\"45006848\"]\n  10 -> 36 [size =\"45006848\"]\n  10 -> 36 [size =\"45006848\"]\n  10 -> 40 [size =\"45006848\"]\n  10 -> 41 [size =\"45006848\"]\n  10 -> 43 [size =\"45006848\"]\n  10 -> 47 [size =\"45006848\"]\n  10 -> 50 [size =\"45006848\"]\n  11 [size=\"59785216\", alpha=\"0.17\", expect_size=\"29892608\"] \n  11 -> 22 [size =\"29892608\"]\n  11 -> 26 [size =\"29892608\"]\n  11 -> 28 [size =\"29892608\"]\n  11 -> 30 [size =\"29892608\"]\n  11 -> 35 [size =\"29892608\"]\n  11 -> 36 [size =\"29892608\"]\n  11 -> 41 [size =\"29892608\"]\n  11 -> 43 [size =\"29892608\"]\n  11 -> 46 [size =\"29892608\"]\n  11 -> 49 [size =\"29892608\"]\n  11 -> 50 [size =\"29892608\"]\n  12 [size=\"41951232\", alpha=\"0.15\", expect_size=\"20975616\"] \n  12 -> 19 [size =\"20975616\"]\n  12 -> 25 [size =\"20975616\"]\n  12 -> 26 [size =\"20975616\"]\n  12 -> 28 [size =\"20975616\"]\n  12 -> 29 [size =\"20975616\"]\n  12 -> 32 [size =\"20975616\"]\n  12 -> 35 [size =\"20975616\"]\n  12 -> 38 [size =\"20975616\"]\n  12 -> 39 [size =\"20975616\"]\n  12 -> 41 [size =\"20975616\"]\n  13 [size=\"44705792\", alpha=\"0.07\", expect_size=\"22352896\"] \n  13 -> 18 [size =\"22352896\"]\n  13 -> 19 [size =\"22352896\"]\n  13 -> 20 [size =\"22352896\"]\n  13 -> 31 [size =\"22352896\"]\n  13 -> 32 [size =\"22352896\"]\n  13 -> 32 [size =\"22352896\"]\n  13 -> 36 [size =\"22352896\"]\n  13 -> 39 [size =\"22352896\"]\n  13 -> 41 [size =\"22352896\"]\n  13 -> 43 [size =\"22352896\"]\n  14 [size=\"53514240\", alpha=\"0.01\", expect_size=\"26757120\"] \n  14 -> 18 [size =\"26757120\"]\n  14 -> 27 [size =\"26757120\"]\n  14 -> 29 [size =\"26757120\"]\n  14 -> 30 [size =\"26757120\"]\n  14 -> 32 [size =\"26757120\"]\n  14 -> 33 [size =\"26757120\"]\n  14 -> 37 [size =\"26757120\"]\n  14 -> 40 [size =\"26757120\"]\n  15 [size=\"29784064\", alpha=\"0.05\", expect_size=\"14892032\"] \n  15 -> 18 [size =\"14892032\"]\n  15 -> 19 [size =\"14892032\"]\n  15 -> 22 [size =\"14892032\"]\n  15 -> 26 [size =\"14892032\"]\n  15 -> 27 [size =\"14892032\"]\n  15 -> 31 [size =\"14892032\"]\n  15 -> 32 [size =\"14892032\"]\n  15 -> 36 [size =\"14892032\"]\n  15 -> 40 [size =\"14892032\"]\n  15 -> 41 [size =\"14892032\"]\n  15 -> 47 [size =\"14892032\"]\n  15 -> 48 [size =\"14892032\"]\n  15 -> 50 [size =\"14892032\"]\n  16 [size=\"39987200\", alpha=\"0.14\", expect_size=\"19993600\"] \n  16 -> 18 [size =\"19993600\"]\n  16 -> 31 [size =\"19993600\"]\n  16 -> 32 [size =\"19993600\"]\n  16 -> 40 [size =\"19993600\"]\n  16 -> 42 [size =\"19993600\"]\n  16 -> 46 [size =\"19993600\"]\n  17 [size=\"67280896\", alpha=\"0.10\", expect_size=\"33640448\"] \n  17 -> 19 [size =\"33640448\"]\n  17 -> 21 [size =\"33640448\"]\n  17 -> 27 [size =\"33640448\"]\n  17 -> 28 [size =\"33640448\"]\n  17 -> 30 [size =\"33640448\"]\n  17 -> 31 [size =\"33640448\"]\n  17 -> 33 [size =\"33640448\"]\n  17 -> 35 [size =\"33640448\"]\n  17 -> 36 [size =\"33640448\"]\n  17 -> 40 [size =\"33640448\"]\n  17 -> 46 [size =\"33640448\"]\n  17 -> 49 [size =\"33640448\"]\n  17 -> 50 [size =\"33640448\"]\n  18 [size=\"56356864\", alpha=\"0.05\", expect_size=\"28178432\"] \n  19 [size=\"71856128\", alpha=\"0.18\", expect_size=\"35928064\"] \n  20 [size=\"80582656\", alpha=\"0.00\", expect_size=\"40291328\"] \n  21 [size=\"92833792\", alpha=\"0.11\", expect_size=\"46416896\"] \n  22 [size=\"80023552\", alpha=\"0.05\", expect_size=\"40011776\"] \n  23 [size=\"55771136\", alpha=\"0.13\", expect_size=\"27885568\"] \n  24 [size=\"87801856\", alpha=\"0.19\", expect_size=\"43900928\"] \n  25 [size=\"93822976\", alpha=\"0.16\", expect_size=\"46911488\"] \n  26 [size=\"23719936\", alpha=\"0.13\", expect_size=\"11859968\"] \n  27 [size=\"88735744\", alpha=\"0.02\", expect_size=\"44367872\"] \n  28 [size=\"42457088\", alpha=\"0.08\", expect_size=\"21228544\"] \n  29 [size=\"65726464\", alpha=\"0.10\", expect_size=\"32863232\"] \n  30 [size=\"56381440\", alpha=\"0.09\", expect_size=\"28190720\"] \n  31 [size=\"57890816\", alpha=\"0.18\", expect_size=\"28945408\"] \n  32 [size=\"13889536\", alpha=\"0.14\", expect_size=\"6944768\"] \n  33 [size=\"36077568\", alpha=\"0.18\", expect_size=\"18038784\"] \n  34 [size=\"97165312\", alpha=\"0.10\", expect_size=\"48582656\"] \n  35 [size=\"94236672\", alpha=\"0.07\", expect_size=\"47118336\"] \n  36 [size=\"77295616\", alpha=\"0.10\", expect_size=\"38647808\"] \n  37 [size=\"41986048\", alpha=\"0.05\", expect_size=\"20993024\"] \n  38 [size=\"50395136\", alpha=\"0.09\", expect_size=\"25197568\"] \n  39 [size=\"86958080\", alpha=\"0.07\", expect_size=\"43479040\"] \n  40 [size=\"39282688\", alpha=\"0.19\", expect_size=\"19641344\"] \n  41 [size=\"81276928\", alpha=\"0.09\", expect_size=\"40638464\"] \n  42 [size=\"73490432\", alpha=\"0.14\", expect_size=\"36745216\"] \n  43 [size=\"47396864\", alpha=\"0.08\", expect_size=\"23698432\"] \n  44 [size=\"37212160\", alpha=\"0.19\", expect_size=\"18606080\"] \n  45 [size=\"85968896\", alpha=\"0.07\", expect_size=\"42984448\"] \n  46 [size=\"24221696\", alpha=\"0.18\", expect_size=\"12110848\"] \n  47 [size=\"70215680\", alpha=\"0.06\", expect_size=\"35107840\"] \n  48 [size=\"92002304\", alpha=\"0.00\", expect_size=\"46001152\"] \n  49 [size=\"41082880\", alpha=\"0.06\", expect_size=\"20541440\"] \n  50 [size=\"73197568\", alpha=\"0.02\", expect_size=\"36598784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.532.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25664000\", alpha=\"0.09\", expect_size=\"10265600\"] \n  1 -> 16 [size =\"10265600\"]\n  1 -> 18 [size =\"10265600\"]\n  1 -> 20 [size =\"10265600\"]\n  1 -> 21 [size =\"10265600\"]\n  1 -> 22 [size =\"10265600\"]\n  1 -> 24 [size =\"10265600\"]\n  2 [size=\"61025280\", alpha=\"0.17\", expect_size=\"24410112\"] \n  2 -> 20 [size =\"24410112\"]\n  2 -> 23 [size =\"24410112\"]\n  3 [size=\"26327040\", alpha=\"0.08\", expect_size=\"10530816\"] \n  3 -> 16 [size =\"10530816\"]\n  3 -> 17 [size =\"10530816\"]\n  3 -> 24 [size =\"10530816\"]\n  4 [size=\"118356480\", alpha=\"0.11\", expect_size=\"47342592\"] \n  4 -> 16 [size =\"47342592\"]\n  4 -> 17 [size =\"47342592\"]\n  4 -> 19 [size =\"47342592\"]\n  4 -> 20 [size =\"47342592\"]\n  4 -> 23 [size =\"47342592\"]\n  4 -> 24 [size =\"47342592\"]\n  5 [size=\"88476160\", alpha=\"0.10\", expect_size=\"35390464\"] \n  5 -> 16 [size =\"35390464\"]\n  5 -> 17 [size =\"35390464\"]\n  5 -> 20 [size =\"35390464\"]\n  5 -> 21 [size =\"35390464\"]\n  5 -> 23 [size =\"35390464\"]\n  5 -> 24 [size =\"35390464\"]\n  5 -> 25 [size =\"35390464\"]\n  5 -> 26 [size =\"35390464\"]\n  6 [size=\"43532800\", alpha=\"0.14\", expect_size=\"17413120\"] \n  6 -> 16 [size =\"17413120\"]\n  6 -> 19 [size =\"17413120\"]\n  6 -> 20 [size =\"17413120\"]\n  6 -> 23 [size =\"17413120\"]\n  6 -> 23 [size =\"17413120\"]\n  6 -> 24 [size =\"17413120\"]\n  6 -> 27 [size =\"17413120\"]\n  6 -> 28 [size =\"17413120\"]\n  7 [size=\"127823360\", alpha=\"0.18\", expect_size=\"51129344\"] \n  7 -> 19 [size =\"51129344\"]\n  7 -> 21 [size =\"51129344\"]\n  7 -> 27 [size =\"51129344\"]\n  8 [size=\"22295040\", alpha=\"0.14\", expect_size=\"8918016\"] \n  8 -> 16 [size =\"8918016\"]\n  8 -> 27 [size =\"8918016\"]\n  9 [size=\"112304640\", alpha=\"0.19\", expect_size=\"44921856\"] \n  9 -> 16 [size =\"44921856\"]\n  9 -> 17 [size =\"44921856\"]\n  9 -> 21 [size =\"44921856\"]\n  9 -> 23 [size =\"44921856\"]\n  9 -> 24 [size =\"44921856\"]\n  9 -> 25 [size =\"44921856\"]\n  10 [size=\"65894400\", alpha=\"0.05\", expect_size=\"26357760\"] \n  10 -> 19 [size =\"26357760\"]\n  10 -> 21 [size =\"26357760\"]\n  10 -> 21 [size =\"26357760\"]\n  10 -> 22 [size =\"26357760\"]\n  10 -> 27 [size =\"26357760\"]\n  11 [size=\"29056000\", alpha=\"0.11\", expect_size=\"11622400\"] \n  11 -> 19 [size =\"11622400\"]\n  11 -> 22 [size =\"11622400\"]\n  11 -> 28 [size =\"11622400\"]\n  12 [size=\"82539520\", alpha=\"0.04\", expect_size=\"33015808\"] \n  12 -> 17 [size =\"33015808\"]\n  12 -> 22 [size =\"33015808\"]\n  12 -> 23 [size =\"33015808\"]\n  12 -> 24 [size =\"33015808\"]\n  13 [size=\"63718400\", alpha=\"0.02\", expect_size=\"25487360\"] \n  13 -> 21 [size =\"25487360\"]\n  13 -> 22 [size =\"25487360\"]\n  13 -> 29 [size =\"25487360\"]\n  14 [size=\"112844800\", alpha=\"0.11\", expect_size=\"45137920\"] \n  14 -> 20 [size =\"45137920\"]\n  14 -> 22 [size =\"45137920\"]\n  14 -> 29 [size =\"45137920\"]\n  15 [size=\"60730880\", alpha=\"0.16\", expect_size=\"24292352\"] \n  15 -> 17 [size =\"24292352\"]\n  15 -> 20 [size =\"24292352\"]\n  15 -> 22 [size =\"24292352\"]\n  16 [size=\"119114240\", alpha=\"0.03\", expect_size=\"47645696\"] \n  16 -> 33 [size =\"47645696\"]\n  16 -> 36 [size =\"47645696\"]\n  17 [size=\"85363200\", alpha=\"0.12\", expect_size=\"34145280\"] \n  17 -> 34 [size =\"34145280\"]\n  17 -> 35 [size =\"34145280\"]\n  17 -> 40 [size =\"34145280\"]\n  17 -> 42 [size =\"34145280\"]\n  18 [size=\"73889280\", alpha=\"0.10\", expect_size=\"29555712\"] \n  18 -> 30 [size =\"29555712\"]\n  18 -> 33 [size =\"29555712\"]\n  18 -> 34 [size =\"29555712\"]\n  18 -> 36 [size =\"29555712\"]\n  18 -> 40 [size =\"29555712\"]\n  18 -> 42 [size =\"29555712\"]\n  19 [size=\"40122880\", alpha=\"0.15\", expect_size=\"16049152\"] \n  19 -> 33 [size =\"16049152\"]\n  19 -> 36 [size =\"16049152\"]\n  19 -> 43 [size =\"16049152\"]\n  20 [size=\"31974400\", alpha=\"0.09\", expect_size=\"12789760\"] \n  20 -> 31 [size =\"12789760\"]\n  20 -> 33 [size =\"12789760\"]\n  20 -> 35 [size =\"12789760\"]\n  20 -> 36 [size =\"12789760\"]\n  21 [size=\"59770880\", alpha=\"0.04\", expect_size=\"23908352\"] \n  21 -> 30 [size =\"23908352\"]\n  21 -> 33 [size =\"23908352\"]\n  21 -> 36 [size =\"23908352\"]\n  21 -> 40 [size =\"23908352\"]\n  21 -> 43 [size =\"23908352\"]\n  22 [size=\"127554560\", alpha=\"0.08\", expect_size=\"51021824\"] \n  22 -> 36 [size =\"51021824\"]\n  22 -> 39 [size =\"51021824\"]\n  22 -> 42 [size =\"51021824\"]\n  23 [size=\"32419840\", alpha=\"0.14\", expect_size=\"12967936\"] \n  23 -> 33 [size =\"12967936\"]\n  23 -> 34 [size =\"12967936\"]\n  23 -> 36 [size =\"12967936\"]\n  23 -> 37 [size =\"12967936\"]\n  23 -> 42 [size =\"12967936\"]\n  23 -> 43 [size =\"12967936\"]\n  24 [size=\"41722880\", alpha=\"0.17\", expect_size=\"16689152\"] \n  24 -> 33 [size =\"16689152\"]\n  24 -> 35 [size =\"16689152\"]\n  24 -> 42 [size =\"16689152\"]\n  25 [size=\"109168640\", alpha=\"0.14\", expect_size=\"43667456\"] \n  25 -> 35 [size =\"43667456\"]\n  25 -> 37 [size =\"43667456\"]\n  25 -> 40 [size =\"43667456\"]\n  25 -> 41 [size =\"43667456\"]\n  25 -> 43 [size =\"43667456\"]\n  26 [size=\"86105600\", alpha=\"0.16\", expect_size=\"34442240\"] \n  26 -> 35 [size =\"34442240\"]\n  26 -> 40 [size =\"34442240\"]\n  26 -> 42 [size =\"34442240\"]\n  26 -> 43 [size =\"34442240\"]\n  27 [size=\"105336320\", alpha=\"0.17\", expect_size=\"42134528\"] \n  27 -> 40 [size =\"42134528\"]\n  27 -> 43 [size =\"42134528\"]\n  28 [size=\"57169920\", alpha=\"0.19\", expect_size=\"22867968\"] \n  28 -> 34 [size =\"22867968\"]\n  28 -> 35 [size =\"22867968\"]\n  28 -> 38 [size =\"22867968\"]\n  28 -> 40 [size =\"22867968\"]\n  28 -> 41 [size =\"22867968\"]\n  28 -> 42 [size =\"22867968\"]\n  28 -> 43 [size =\"22867968\"]\n  29 [size=\"116935680\", alpha=\"0.19\", expect_size=\"46774272\"] \n  29 -> 32 [size =\"46774272\"]\n  29 -> 33 [size =\"46774272\"]\n  29 -> 34 [size =\"46774272\"]\n  29 -> 36 [size =\"46774272\"]\n  29 -> 40 [size =\"46774272\"]\n  29 -> 43 [size =\"46774272\"]\n  30 [size=\"88960000\", alpha=\"0.07\", expect_size=\"35584000\"] \n  30 -> 45 [size =\"35584000\"]\n  30 -> 49 [size =\"35584000\"]\n  30 -> 50 [size =\"35584000\"]\n  31 [size=\"22005760\", alpha=\"0.18\", expect_size=\"8802304\"] \n  31 -> 44 [size =\"8802304\"]\n  31 -> 47 [size =\"8802304\"]\n  31 -> 49 [size =\"8802304\"]\n  32 [size=\"46597120\", alpha=\"0.01\", expect_size=\"18638848\"] \n  32 -> 50 [size =\"18638848\"]\n  33 [size=\"92692480\", alpha=\"0.13\", expect_size=\"37076992\"] \n  33 -> 46 [size =\"37076992\"]\n  34 [size=\"55544320\", alpha=\"0.01\", expect_size=\"22217728\"] \n  34 -> 48 [size =\"22217728\"]\n  34 -> 49 [size =\"22217728\"]\n  35 [size=\"40404480\", alpha=\"0.18\", expect_size=\"16161792\"] \n  35 -> 49 [size =\"16161792\"]\n  36 [size=\"122641920\", alpha=\"0.12\", expect_size=\"49056768\"] \n  36 -> 49 [size =\"49056768\"]\n  36 -> 50 [size =\"49056768\"]\n  37 [size=\"96755200\", alpha=\"0.19\", expect_size=\"38702080\"] \n  37 -> 45 [size =\"38702080\"]\n  37 -> 49 [size =\"38702080\"]\n  38 [size=\"77463040\", alpha=\"0.16\", expect_size=\"30985216\"] \n  38 -> 46 [size =\"30985216\"]\n  38 -> 50 [size =\"30985216\"]\n  39 [size=\"73953280\", alpha=\"0.18\", expect_size=\"29581312\"] \n  39 -> 45 [size =\"29581312\"]\n  40 [size=\"67461120\", alpha=\"0.02\", expect_size=\"26984448\"] \n  40 -> 46 [size =\"26984448\"]\n  40 -> 47 [size =\"26984448\"]\n  40 -> 48 [size =\"26984448\"]\n  40 -> 49 [size =\"26984448\"]\n  41 [size=\"110771200\", alpha=\"0.15\", expect_size=\"44308480\"] \n  41 -> 45 [size =\"44308480\"]\n  41 -> 46 [size =\"44308480\"]\n  42 [size=\"101872640\", alpha=\"0.07\", expect_size=\"40749056\"] \n  42 -> 44 [size =\"40749056\"]\n  42 -> 48 [size =\"40749056\"]\n  43 [size=\"110197760\", alpha=\"0.03\", expect_size=\"44079104\"] \n  43 -> 46 [size =\"44079104\"]\n  43 -> 49 [size =\"44079104\"]\n  43 -> 50 [size =\"44079104\"]\n  44 [size=\"68395520\", alpha=\"0.03\", expect_size=\"27358208\"] \n  45 [size=\"76198400\", alpha=\"0.19\", expect_size=\"30479360\"] \n  46 [size=\"63272960\", alpha=\"0.08\", expect_size=\"25309184\"] \n  47 [size=\"17656320\", alpha=\"0.13\", expect_size=\"7062528\"] \n  48 [size=\"129571840\", alpha=\"0.05\", expect_size=\"51828736\"] \n  49 [size=\"105909760\", alpha=\"0.14\", expect_size=\"42363904\"] \n  50 [size=\"91653120\", alpha=\"0.17\", expect_size=\"36661248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.533.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57511253\", alpha=\"0.04\", expect_size=\"17253376\"] \n  1 -> 5 [size =\"17253376\"]\n  1 -> 6 [size =\"17253376\"]\n  1 -> 8 [size =\"17253376\"]\n  1 -> 10 [size =\"17253376\"]\n  1 -> 11 [size =\"17253376\"]\n  1 -> 12 [size =\"17253376\"]\n  1 -> 13 [size =\"17253376\"]\n  2 [size=\"98532693\", alpha=\"0.15\", expect_size=\"29559808\"] \n  2 -> 6 [size =\"29559808\"]\n  2 -> 9 [size =\"29559808\"]\n  2 -> 11 [size =\"29559808\"]\n  2 -> 12 [size =\"29559808\"]\n  3 [size=\"163826347\", alpha=\"0.08\", expect_size=\"49147904\"] \n  3 -> 5 [size =\"49147904\"]\n  3 -> 6 [size =\"49147904\"]\n  3 -> 8 [size =\"49147904\"]\n  3 -> 9 [size =\"49147904\"]\n  3 -> 12 [size =\"49147904\"]\n  4 [size=\"108455253\", alpha=\"0.08\", expect_size=\"32536576\"] \n  4 -> 5 [size =\"32536576\"]\n  4 -> 7 [size =\"32536576\"]\n  4 -> 8 [size =\"32536576\"]\n  4 -> 9 [size =\"32536576\"]\n  4 -> 13 [size =\"32536576\"]\n  5 [size=\"74141013\", alpha=\"0.08\", expect_size=\"22242304\"] \n  5 -> 14 [size =\"22242304\"]\n  5 -> 15 [size =\"22242304\"]\n  5 -> 19 [size =\"22242304\"]\n  6 [size=\"99433813\", alpha=\"0.09\", expect_size=\"29830144\"] \n  6 -> 19 [size =\"29830144\"]\n  6 -> 21 [size =\"29830144\"]\n  7 [size=\"155419307\", alpha=\"0.10\", expect_size=\"46625792\"] \n  7 -> 14 [size =\"46625792\"]\n  7 -> 19 [size =\"46625792\"]\n  7 -> 22 [size =\"46625792\"]\n  8 [size=\"166232747\", alpha=\"0.12\", expect_size=\"49869824\"] \n  8 -> 14 [size =\"49869824\"]\n  8 -> 21 [size =\"49869824\"]\n  8 -> 22 [size =\"49869824\"]\n  9 [size=\"135352320\", alpha=\"0.00\", expect_size=\"40605696\"] \n  9 -> 14 [size =\"40605696\"]\n  9 -> 18 [size =\"40605696\"]\n  9 -> 19 [size =\"40605696\"]\n  9 -> 20 [size =\"40605696\"]\n  9 -> 21 [size =\"40605696\"]\n  9 -> 22 [size =\"40605696\"]\n  10 [size=\"157873493\", alpha=\"0.20\", expect_size=\"47362048\"] \n  10 -> 14 [size =\"47362048\"]\n  11 [size=\"153091413\", alpha=\"0.19\", expect_size=\"45927424\"] \n  11 -> 14 [size =\"45927424\"]\n  11 -> 15 [size =\"45927424\"]\n  12 [size=\"23514453\", alpha=\"0.13\", expect_size=\"7054336\"] \n  12 -> 14 [size =\"7054336\"]\n  12 -> 16 [size =\"7054336\"]\n  12 -> 21 [size =\"7054336\"]\n  13 [size=\"141793280\", alpha=\"0.18\", expect_size=\"42537984\"] \n  13 -> 15 [size =\"42537984\"]\n  13 -> 17 [size =\"42537984\"]\n  13 -> 21 [size =\"42537984\"]\n  14 [size=\"48523947\", alpha=\"0.15\", expect_size=\"14557184\"] \n  14 -> 23 [size =\"14557184\"]\n  14 -> 24 [size =\"14557184\"]\n  14 -> 25 [size =\"14557184\"]\n  14 -> 27 [size =\"14557184\"]\n  15 [size=\"109393920\", alpha=\"0.02\", expect_size=\"32818176\"] \n  15 -> 23 [size =\"32818176\"]\n  15 -> 25 [size =\"32818176\"]\n  15 -> 26 [size =\"32818176\"]\n  16 [size=\"170356053\", alpha=\"0.12\", expect_size=\"51106816\"] \n  16 -> 24 [size =\"51106816\"]\n  16 -> 25 [size =\"51106816\"]\n  16 -> 26 [size =\"51106816\"]\n  16 -> 27 [size =\"51106816\"]\n  17 [size=\"80298667\", alpha=\"0.04\", expect_size=\"24089600\"] \n  17 -> 24 [size =\"24089600\"]\n  17 -> 25 [size =\"24089600\"]\n  17 -> 27 [size =\"24089600\"]\n  18 [size=\"156057600\", alpha=\"0.08\", expect_size=\"46817280\"] \n  18 -> 25 [size =\"46817280\"]\n  18 -> 25 [size =\"46817280\"]\n  19 [size=\"92357973\", alpha=\"0.11\", expect_size=\"27707392\"] \n  19 -> 23 [size =\"27707392\"]\n  19 -> 24 [size =\"27707392\"]\n  19 -> 25 [size =\"27707392\"]\n  19 -> 26 [size =\"27707392\"]\n  19 -> 27 [size =\"27707392\"]\n  19 -> 28 [size =\"27707392\"]\n  20 [size=\"95692800\", alpha=\"0.02\", expect_size=\"28707840\"] \n  20 -> 26 [size =\"28707840\"]\n  21 [size=\"95525547\", alpha=\"0.18\", expect_size=\"28657664\"] \n  21 -> 24 [size =\"28657664\"]\n  21 -> 26 [size =\"28657664\"]\n  22 [size=\"84305920\", alpha=\"0.04\", expect_size=\"25291776\"] \n  22 -> 23 [size =\"25291776\"]\n  22 -> 26 [size =\"25291776\"]\n  22 -> 28 [size =\"25291776\"]\n  23 [size=\"29286400\", alpha=\"0.09\", expect_size=\"8785920\"] \n  23 -> 32 [size =\"8785920\"]\n  24 [size=\"174134613\", alpha=\"0.05\", expect_size=\"52240384\"] \n  25 [size=\"136823467\", alpha=\"0.08\", expect_size=\"41047040\"] \n  26 [size=\"152528213\", alpha=\"0.02\", expect_size=\"45758464\"] \n  26 -> 30 [size =\"45758464\"]\n  26 -> 31 [size =\"45758464\"]\n  27 [size=\"89954987\", alpha=\"0.14\", expect_size=\"26986496\"] \n  27 -> 29 [size =\"26986496\"]\n  28 [size=\"117562027\", alpha=\"0.04\", expect_size=\"35268608\"] \n  28 -> 31 [size =\"35268608\"]\n  29 [size=\"24446293\", alpha=\"0.09\", expect_size=\"7333888\"] \n  29 -> 33 [size =\"7333888\"]\n  29 -> 34 [size =\"7333888\"]\n  29 -> 36 [size =\"7333888\"]\n  30 [size=\"112769707\", alpha=\"0.13\", expect_size=\"33830912\"] \n  30 -> 35 [size =\"33830912\"]\n  30 -> 36 [size =\"33830912\"]\n  30 -> 37 [size =\"33830912\"]\n  30 -> 38 [size =\"33830912\"]\n  31 [size=\"128078507\", alpha=\"0.13\", expect_size=\"38423552\"] \n  31 -> 33 [size =\"38423552\"]\n  31 -> 34 [size =\"38423552\"]\n  31 -> 35 [size =\"38423552\"]\n  31 -> 36 [size =\"38423552\"]\n  31 -> 38 [size =\"38423552\"]\n  32 [size=\"110407680\", alpha=\"0.14\", expect_size=\"33122304\"] \n  32 -> 33 [size =\"33122304\"]\n  32 -> 34 [size =\"33122304\"]\n  32 -> 35 [size =\"33122304\"]\n  32 -> 37 [size =\"33122304\"]\n  32 -> 38 [size =\"33122304\"]\n  33 [size=\"140813653\", alpha=\"0.11\", expect_size=\"42244096\"] \n  33 -> 39 [size =\"42244096\"]\n  33 -> 40 [size =\"42244096\"]\n  33 -> 41 [size =\"42244096\"]\n  33 -> 43 [size =\"42244096\"]\n  33 -> 45 [size =\"42244096\"]\n  33 -> 46 [size =\"42244096\"]\n  34 [size=\"51080533\", alpha=\"0.12\", expect_size=\"15324160\"] \n  34 -> 39 [size =\"15324160\"]\n  34 -> 41 [size =\"15324160\"]\n  35 [size=\"89470293\", alpha=\"0.05\", expect_size=\"26841088\"] \n  35 -> 39 [size =\"26841088\"]\n  35 -> 41 [size =\"26841088\"]\n  36 [size=\"155368107\", alpha=\"0.17\", expect_size=\"46610432\"] \n  36 -> 40 [size =\"46610432\"]\n  36 -> 41 [size =\"46610432\"]\n  36 -> 43 [size =\"46610432\"]\n  36 -> 44 [size =\"46610432\"]\n  37 [size=\"173441707\", alpha=\"0.17\", expect_size=\"52032512\"] \n  37 -> 39 [size =\"52032512\"]\n  37 -> 40 [size =\"52032512\"]\n  37 -> 42 [size =\"52032512\"]\n  37 -> 46 [size =\"52032512\"]\n  37 -> 47 [size =\"52032512\"]\n  38 [size=\"124354560\", alpha=\"0.15\", expect_size=\"37306368\"] \n  38 -> 40 [size =\"37306368\"]\n  38 -> 43 [size =\"37306368\"]\n  38 -> 46 [size =\"37306368\"]\n  38 -> 46 [size =\"37306368\"]\n  38 -> 48 [size =\"37306368\"]\n  39 [size=\"156856320\", alpha=\"0.02\", expect_size=\"47056896\"] \n  40 [size=\"74260480\", alpha=\"0.19\", expect_size=\"22278144\"] \n  40 -> 50 [size =\"22278144\"]\n  41 [size=\"174250667\", alpha=\"0.07\", expect_size=\"52275200\"] \n  41 -> 49 [size =\"52275200\"]\n  41 -> 50 [size =\"52275200\"]\n  42 [size=\"120586240\", alpha=\"0.02\", expect_size=\"36175872\"] \n  42 -> 49 [size =\"36175872\"]\n  42 -> 50 [size =\"36175872\"]\n  43 [size=\"76595200\", alpha=\"0.19\", expect_size=\"22978560\"] \n  43 -> 49 [size =\"22978560\"]\n  44 [size=\"166591147\", alpha=\"0.16\", expect_size=\"49977344\"] \n  44 -> 49 [size =\"49977344\"]\n  45 [size=\"107055787\", alpha=\"0.09\", expect_size=\"32116736\"] \n  45 -> 50 [size =\"32116736\"]\n  46 [size=\"147196587\", alpha=\"0.18\", expect_size=\"44158976\"] \n  47 [size=\"125320533\", alpha=\"0.17\", expect_size=\"37596160\"] \n  47 -> 49 [size =\"37596160\"]\n  47 -> 50 [size =\"37596160\"]\n  48 [size=\"104253440\", alpha=\"0.08\", expect_size=\"31276032\"] \n  48 -> 50 [size =\"31276032\"]\n  48 -> 50 [size =\"31276032\"]\n  49 [size=\"65286827\", alpha=\"0.00\", expect_size=\"19586048\"] \n  50 [size=\"83309227\", alpha=\"0.04\", expect_size=\"24992768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.534.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122955093\", alpha=\"0.14\", expect_size=\"36886528\"] \n  1 -> 9 [size =\"36886528\"]\n  1 -> 10 [size =\"36886528\"]\n  2 [size=\"17599147\", alpha=\"0.18\", expect_size=\"5279744\"] \n  2 -> 11 [size =\"5279744\"]\n  3 [size=\"81220267\", alpha=\"0.09\", expect_size=\"24366080\"] \n  4 [size=\"154572800\", alpha=\"0.08\", expect_size=\"46371840\"] \n  5 [size=\"108445013\", alpha=\"0.10\", expect_size=\"32533504\"] \n  5 -> 10 [size =\"32533504\"]\n  6 [size=\"38915413\", alpha=\"0.18\", expect_size=\"11674624\"] \n  6 -> 9 [size =\"11674624\"]\n  7 [size=\"18954240\", alpha=\"0.15\", expect_size=\"5686272\"] \n  7 -> 10 [size =\"5686272\"]\n  7 -> 11 [size =\"5686272\"]\n  8 [size=\"79131307\", alpha=\"0.09\", expect_size=\"23739392\"] \n  8 -> 9 [size =\"23739392\"]\n  8 -> 10 [size =\"23739392\"]\n  8 -> 11 [size =\"23739392\"]\n  9 [size=\"86213973\", alpha=\"0.07\", expect_size=\"25864192\"] \n  9 -> 12 [size =\"25864192\"]\n  9 -> 13 [size =\"25864192\"]\n  9 -> 14 [size =\"25864192\"]\n  9 -> 20 [size =\"25864192\"]\n  10 [size=\"78035627\", alpha=\"0.18\", expect_size=\"23410688\"] \n  10 -> 15 [size =\"23410688\"]\n  10 -> 16 [size =\"23410688\"]\n  10 -> 17 [size =\"23410688\"]\n  10 -> 18 [size =\"23410688\"]\n  11 [size=\"55729493\", alpha=\"0.12\", expect_size=\"16718848\"] \n  11 -> 19 [size =\"16718848\"]\n  12 [size=\"167239680\", alpha=\"0.11\", expect_size=\"50171904\"] \n  12 -> 23 [size =\"50171904\"]\n  12 -> 24 [size =\"50171904\"]\n  12 -> 26 [size =\"50171904\"]\n  12 -> 29 [size =\"50171904\"]\n  13 [size=\"153524907\", alpha=\"0.14\", expect_size=\"46057472\"] \n  13 -> 23 [size =\"46057472\"]\n  13 -> 24 [size =\"46057472\"]\n  13 -> 25 [size =\"46057472\"]\n  13 -> 26 [size =\"46057472\"]\n  13 -> 29 [size =\"46057472\"]\n  14 [size=\"68362240\", alpha=\"0.02\", expect_size=\"20508672\"] \n  14 -> 23 [size =\"20508672\"]\n  14 -> 25 [size =\"20508672\"]\n  14 -> 28 [size =\"20508672\"]\n  15 [size=\"128242347\", alpha=\"0.17\", expect_size=\"38472704\"] \n  15 -> 22 [size =\"38472704\"]\n  15 -> 23 [size =\"38472704\"]\n  15 -> 27 [size =\"38472704\"]\n  15 -> 29 [size =\"38472704\"]\n  16 [size=\"50527573\", alpha=\"0.11\", expect_size=\"15158272\"] \n  16 -> 21 [size =\"15158272\"]\n  16 -> 26 [size =\"15158272\"]\n  16 -> 29 [size =\"15158272\"]\n  17 [size=\"31191040\", alpha=\"0.04\", expect_size=\"9357312\"] \n  17 -> 23 [size =\"9357312\"]\n  17 -> 26 [size =\"9357312\"]\n  18 [size=\"152780800\", alpha=\"0.06\", expect_size=\"45834240\"] \n  18 -> 27 [size =\"45834240\"]\n  18 -> 28 [size =\"45834240\"]\n  19 [size=\"68433920\", alpha=\"0.04\", expect_size=\"20530176\"] \n  19 -> 24 [size =\"20530176\"]\n  19 -> 27 [size =\"20530176\"]\n  19 -> 28 [size =\"20530176\"]\n  20 [size=\"123893760\", alpha=\"0.03\", expect_size=\"37168128\"] \n  21 [size=\"110670507\", alpha=\"0.16\", expect_size=\"33201152\"] \n  21 -> 31 [size =\"33201152\"]\n  21 -> 32 [size =\"33201152\"]\n  21 -> 36 [size =\"33201152\"]\n  21 -> 38 [size =\"33201152\"]\n  22 [size=\"48121173\", alpha=\"0.08\", expect_size=\"14436352\"] \n  22 -> 31 [size =\"14436352\"]\n  22 -> 35 [size =\"14436352\"]\n  22 -> 36 [size =\"14436352\"]\n  23 [size=\"131566933\", alpha=\"0.09\", expect_size=\"39470080\"] \n  23 -> 35 [size =\"39470080\"]\n  23 -> 39 [size =\"39470080\"]\n  24 [size=\"81704960\", alpha=\"0.07\", expect_size=\"24511488\"] \n  24 -> 31 [size =\"24511488\"]\n  24 -> 34 [size =\"24511488\"]\n  25 [size=\"98600960\", alpha=\"0.17\", expect_size=\"29580288\"] \n  25 -> 34 [size =\"29580288\"]\n  25 -> 36 [size =\"29580288\"]\n  26 [size=\"76595200\", alpha=\"0.09\", expect_size=\"22978560\"] \n  26 -> 30 [size =\"22978560\"]\n  26 -> 33 [size =\"22978560\"]\n  26 -> 36 [size =\"22978560\"]\n  27 [size=\"163751253\", alpha=\"0.02\", expect_size=\"49125376\"] \n  27 -> 38 [size =\"49125376\"]\n  28 [size=\"40540160\", alpha=\"0.02\", expect_size=\"12162048\"] \n  28 -> 31 [size =\"12162048\"]\n  28 -> 34 [size =\"12162048\"]\n  28 -> 36 [size =\"12162048\"]\n  28 -> 37 [size =\"12162048\"]\n  29 [size=\"87671467\", alpha=\"0.11\", expect_size=\"26301440\"] \n  29 -> 32 [size =\"26301440\"]\n  29 -> 34 [size =\"26301440\"]\n  30 [size=\"120896853\", alpha=\"0.08\", expect_size=\"36269056\"] \n  30 -> 40 [size =\"36269056\"]\n  31 [size=\"147179520\", alpha=\"0.10\", expect_size=\"44153856\"] \n  32 [size=\"114718720\", alpha=\"0.11\", expect_size=\"34415616\"] \n  32 -> 41 [size =\"34415616\"]\n  32 -> 42 [size =\"34415616\"]\n  33 [size=\"23633920\", alpha=\"0.09\", expect_size=\"7090176\"] \n  33 -> 41 [size =\"7090176\"]\n  33 -> 42 [size =\"7090176\"]\n  34 [size=\"94962347\", alpha=\"0.13\", expect_size=\"28488704\"] \n  34 -> 41 [size =\"28488704\"]\n  34 -> 42 [size =\"28488704\"]\n  35 [size=\"151227733\", alpha=\"0.12\", expect_size=\"45368320\"] \n  35 -> 41 [size =\"45368320\"]\n  35 -> 42 [size =\"45368320\"]\n  36 [size=\"126112427\", alpha=\"0.15\", expect_size=\"37833728\"] \n  36 -> 40 [size =\"37833728\"]\n  37 [size=\"41058987\", alpha=\"0.19\", expect_size=\"12317696\"] \n  38 [size=\"54835200\", alpha=\"0.01\", expect_size=\"16450560\"] \n  39 [size=\"71806293\", alpha=\"0.09\", expect_size=\"21541888\"] \n  40 [size=\"160713387\", alpha=\"0.11\", expect_size=\"48214016\"] \n  40 -> 43 [size =\"48214016\"]\n  40 -> 44 [size =\"48214016\"]\n  40 -> 45 [size =\"48214016\"]\n  41 [size=\"67546453\", alpha=\"0.05\", expect_size=\"20263936\"] \n  41 -> 46 [size =\"20263936\"]\n  41 -> 49 [size =\"20263936\"]\n  42 [size=\"145128107\", alpha=\"0.02\", expect_size=\"43538432\"] \n  42 -> 47 [size =\"43538432\"]\n  42 -> 48 [size =\"43538432\"]\n  43 [size=\"71372800\", alpha=\"0.14\", expect_size=\"21411840\"] \n  44 [size=\"139608747\", alpha=\"0.14\", expect_size=\"41882624\"] \n  45 [size=\"86152533\", alpha=\"0.05\", expect_size=\"25845760\"] \n  46 [size=\"21773653\", alpha=\"0.03\", expect_size=\"6532096\"] \n  47 [size=\"136809813\", alpha=\"0.20\", expect_size=\"41042944\"] \n  47 -> 50 [size =\"41042944\"]\n  48 [size=\"130406400\", alpha=\"0.19\", expect_size=\"39121920\"] \n  49 [size=\"137871360\", alpha=\"0.08\", expect_size=\"41361408\"] \n  50 [size=\"52879360\", alpha=\"0.09\", expect_size=\"15863808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.535.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128232107\", alpha=\"0.05\", expect_size=\"38469632\"] \n  1 -> 9 [size =\"38469632\"]\n  1 -> 12 [size =\"38469632\"]\n  1 -> 13 [size =\"38469632\"]\n  2 [size=\"146015573\", alpha=\"0.03\", expect_size=\"43804672\"] \n  2 -> 7 [size =\"43804672\"]\n  2 -> 9 [size =\"43804672\"]\n  2 -> 13 [size =\"43804672\"]\n  3 [size=\"154501120\", alpha=\"0.17\", expect_size=\"46350336\"] \n  3 -> 7 [size =\"46350336\"]\n  3 -> 9 [size =\"46350336\"]\n  3 -> 11 [size =\"46350336\"]\n  4 [size=\"49220267\", alpha=\"0.04\", expect_size=\"14766080\"] \n  4 -> 8 [size =\"14766080\"]\n  4 -> 10 [size =\"14766080\"]\n  4 -> 12 [size =\"14766080\"]\n  4 -> 13 [size =\"14766080\"]\n  5 [size=\"166905173\", alpha=\"0.00\", expect_size=\"50071552\"] \n  5 -> 11 [size =\"50071552\"]\n  6 [size=\"17923413\", alpha=\"0.06\", expect_size=\"5377024\"] \n  6 -> 11 [size =\"5377024\"]\n  7 [size=\"28528640\", alpha=\"0.05\", expect_size=\"8558592\"] \n  7 -> 16 [size =\"8558592\"]\n  7 -> 17 [size =\"8558592\"]\n  8 [size=\"170728107\", alpha=\"0.15\", expect_size=\"51218432\"] \n  9 [size=\"109632853\", alpha=\"0.04\", expect_size=\"32889856\"] \n  9 -> 17 [size =\"32889856\"]\n  9 -> 19 [size =\"32889856\"]\n  10 [size=\"49769813\", alpha=\"0.12\", expect_size=\"14930944\"] \n  10 -> 15 [size =\"14930944\"]\n  10 -> 17 [size =\"14930944\"]\n  10 -> 19 [size =\"14930944\"]\n  11 [size=\"102406827\", alpha=\"0.14\", expect_size=\"30722048\"] \n  11 -> 15 [size =\"30722048\"]\n  11 -> 16 [size =\"30722048\"]\n  12 [size=\"142960640\", alpha=\"0.03\", expect_size=\"42888192\"] \n  12 -> 14 [size =\"42888192\"]\n  12 -> 15 [size =\"42888192\"]\n  12 -> 18 [size =\"42888192\"]\n  13 [size=\"170246827\", alpha=\"0.12\", expect_size=\"51074048\"] \n  13 -> 14 [size =\"51074048\"]\n  13 -> 15 [size =\"51074048\"]\n  13 -> 17 [size =\"51074048\"]\n  14 [size=\"149620053\", alpha=\"0.00\", expect_size=\"44886016\"] \n  14 -> 20 [size =\"44886016\"]\n  15 [size=\"22664533\", alpha=\"0.16\", expect_size=\"6799360\"] \n  15 -> 20 [size =\"6799360\"]\n  15 -> 22 [size =\"6799360\"]\n  16 [size=\"26408960\", alpha=\"0.03\", expect_size=\"7922688\"] \n  16 -> 20 [size =\"7922688\"]\n  16 -> 21 [size =\"7922688\"]\n  16 -> 22 [size =\"7922688\"]\n  16 -> 24 [size =\"7922688\"]\n  16 -> 25 [size =\"7922688\"]\n  17 [size=\"70246400\", alpha=\"0.06\", expect_size=\"21073920\"] \n  17 -> 23 [size =\"21073920\"]\n  18 [size=\"108376747\", alpha=\"0.10\", expect_size=\"32513024\"] \n  19 [size=\"65454080\", alpha=\"0.01\", expect_size=\"19636224\"] \n  20 [size=\"99942400\", alpha=\"0.04\", expect_size=\"29982720\"] \n  20 -> 29 [size =\"29982720\"]\n  21 [size=\"35665920\", alpha=\"0.02\", expect_size=\"10699776\"] \n  21 -> 27 [size =\"10699776\"]\n  21 -> 32 [size =\"10699776\"]\n  22 [size=\"146684587\", alpha=\"0.16\", expect_size=\"44005376\"] \n  22 -> 27 [size =\"44005376\"]\n  22 -> 28 [size =\"44005376\"]\n  22 -> 30 [size =\"44005376\"]\n  22 -> 31 [size =\"44005376\"]\n  23 [size=\"169762133\", alpha=\"0.08\", expect_size=\"50928640\"] \n  23 -> 27 [size =\"50928640\"]\n  23 -> 28 [size =\"50928640\"]\n  23 -> 32 [size =\"50928640\"]\n  24 [size=\"107656533\", alpha=\"0.03\", expect_size=\"32296960\"] \n  24 -> 28 [size =\"32296960\"]\n  24 -> 30 [size =\"32296960\"]\n  25 [size=\"108557653\", alpha=\"0.18\", expect_size=\"32567296\"] \n  25 -> 26 [size =\"32567296\"]\n  26 [size=\"75881813\", alpha=\"0.13\", expect_size=\"22764544\"] \n  26 -> 33 [size =\"22764544\"]\n  26 -> 35 [size =\"22764544\"]\n  27 [size=\"99471360\", alpha=\"0.09\", expect_size=\"29841408\"] \n  27 -> 33 [size =\"29841408\"]\n  27 -> 34 [size =\"29841408\"]\n  27 -> 36 [size =\"29841408\"]\n  27 -> 38 [size =\"29841408\"]\n  27 -> 39 [size =\"29841408\"]\n  28 [size=\"148125013\", alpha=\"0.04\", expect_size=\"44437504\"] \n  28 -> 39 [size =\"44437504\"]\n  29 [size=\"68833280\", alpha=\"0.12\", expect_size=\"20649984\"] \n  29 -> 36 [size =\"20649984\"]\n  29 -> 39 [size =\"20649984\"]\n  30 [size=\"73373013\", alpha=\"0.03\", expect_size=\"22011904\"] \n  30 -> 36 [size =\"22011904\"]\n  31 [size=\"107270827\", alpha=\"0.05\", expect_size=\"32181248\"] \n  31 -> 35 [size =\"32181248\"]\n  32 [size=\"124002987\", alpha=\"0.04\", expect_size=\"37200896\"] \n  32 -> 33 [size =\"37200896\"]\n  32 -> 35 [size =\"37200896\"]\n  32 -> 37 [size =\"37200896\"]\n  33 [size=\"94825813\", alpha=\"0.01\", expect_size=\"28447744\"] \n  33 -> 40 [size =\"28447744\"]\n  33 -> 42 [size =\"28447744\"]\n  34 [size=\"156760747\", alpha=\"0.15\", expect_size=\"47028224\"] \n  34 -> 40 [size =\"47028224\"]\n  34 -> 43 [size =\"47028224\"]\n  34 -> 44 [size =\"47028224\"]\n  35 [size=\"26989227\", alpha=\"0.11\", expect_size=\"8096768\"] \n  35 -> 41 [size =\"8096768\"]\n  36 [size=\"169506133\", alpha=\"0.07\", expect_size=\"50851840\"] \n  36 -> 40 [size =\"50851840\"]\n  36 -> 42 [size =\"50851840\"]\n  36 -> 45 [size =\"50851840\"]\n  37 [size=\"112902827\", alpha=\"0.10\", expect_size=\"33870848\"] \n  37 -> 43 [size =\"33870848\"]\n  38 [size=\"25521493\", alpha=\"0.04\", expect_size=\"7656448\"] \n  38 -> 42 [size =\"7656448\"]\n  38 -> 43 [size =\"7656448\"]\n  39 [size=\"60613973\", alpha=\"0.05\", expect_size=\"18184192\"] \n  39 -> 42 [size =\"18184192\"]\n  40 [size=\"153057280\", alpha=\"0.16\", expect_size=\"45917184\"] \n  40 -> 46 [size =\"45917184\"]\n  40 -> 50 [size =\"45917184\"]\n  41 [size=\"20568747\", alpha=\"0.09\", expect_size=\"6170624\"] \n  41 -> 46 [size =\"6170624\"]\n  42 [size=\"62658560\", alpha=\"0.19\", expect_size=\"18797568\"] \n  42 -> 48 [size =\"18797568\"]\n  42 -> 49 [size =\"18797568\"]\n  43 [size=\"90238293\", alpha=\"0.08\", expect_size=\"27071488\"] \n  43 -> 47 [size =\"27071488\"]\n  43 -> 50 [size =\"27071488\"]\n  44 [size=\"98795520\", alpha=\"0.09\", expect_size=\"29638656\"] \n  44 -> 47 [size =\"29638656\"]\n  44 -> 48 [size =\"29638656\"]\n  45 [size=\"63184213\", alpha=\"0.01\", expect_size=\"18955264\"] \n  45 -> 46 [size =\"18955264\"]\n  45 -> 48 [size =\"18955264\"]\n  46 [size=\"145889280\", alpha=\"0.00\", expect_size=\"43766784\"] \n  47 [size=\"41267200\", alpha=\"0.10\", expect_size=\"12380160\"] \n  48 [size=\"116664320\", alpha=\"0.17\", expect_size=\"34999296\"] \n  49 [size=\"148408320\", alpha=\"0.10\", expect_size=\"44522496\"] \n  50 [size=\"27194027\", alpha=\"0.11\", expect_size=\"8158208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.536.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90695680\", alpha=\"0.18\", expect_size=\"36278272\"] \n  1 -> 23 [size =\"36278272\"]\n  1 -> 24 [size =\"36278272\"]\n  1 -> 25 [size =\"36278272\"]\n  1 -> 26 [size =\"36278272\"]\n  1 -> 27 [size =\"36278272\"]\n  1 -> 28 [size =\"36278272\"]\n  2 [size=\"119296000\", alpha=\"0.14\", expect_size=\"47718400\"] \n  2 -> 23 [size =\"47718400\"]\n  2 -> 25 [size =\"47718400\"]\n  2 -> 27 [size =\"47718400\"]\n  2 -> 29 [size =\"47718400\"]\n  3 [size=\"110402560\", alpha=\"0.15\", expect_size=\"44161024\"] \n  3 -> 23 [size =\"44161024\"]\n  3 -> 24 [size =\"44161024\"]\n  3 -> 25 [size =\"44161024\"]\n  3 -> 27 [size =\"44161024\"]\n  3 -> 28 [size =\"44161024\"]\n  4 [size=\"17474560\", alpha=\"0.04\", expect_size=\"6989824\"] \n  4 -> 23 [size =\"6989824\"]\n  4 -> 24 [size =\"6989824\"]\n  4 -> 27 [size =\"6989824\"]\n  4 -> 27 [size =\"6989824\"]\n  5 [size=\"29834240\", alpha=\"0.15\", expect_size=\"11933696\"] \n  5 -> 23 [size =\"11933696\"]\n  5 -> 26 [size =\"11933696\"]\n  5 -> 27 [size =\"11933696\"]\n  5 -> 28 [size =\"11933696\"]\n  6 [size=\"110799360\", alpha=\"0.18\", expect_size=\"44319744\"] \n  6 -> 23 [size =\"44319744\"]\n  6 -> 26 [size =\"44319744\"]\n  6 -> 27 [size =\"44319744\"]\n  7 [size=\"65812480\", alpha=\"0.09\", expect_size=\"26324992\"] \n  7 -> 27 [size =\"26324992\"]\n  7 -> 28 [size =\"26324992\"]\n  8 [size=\"29401600\", alpha=\"0.11\", expect_size=\"11760640\"] \n  8 -> 23 [size =\"11760640\"]\n  8 -> 27 [size =\"11760640\"]\n  9 [size=\"118745600\", alpha=\"0.10\", expect_size=\"47498240\"] \n  9 -> 24 [size =\"47498240\"]\n  9 -> 27 [size =\"47498240\"]\n  10 [size=\"118074880\", alpha=\"0.19\", expect_size=\"47229952\"] \n  10 -> 23 [size =\"47229952\"]\n  10 -> 24 [size =\"47229952\"]\n  10 -> 27 [size =\"47229952\"]\n  11 [size=\"27719680\", alpha=\"0.13\", expect_size=\"11087872\"] \n  11 -> 23 [size =\"11087872\"]\n  11 -> 26 [size =\"11087872\"]\n  11 -> 27 [size =\"11087872\"]\n  12 [size=\"15966720\", alpha=\"0.00\", expect_size=\"6386688\"] \n  12 -> 27 [size =\"6386688\"]\n  13 [size=\"99537920\", alpha=\"0.19\", expect_size=\"39815168\"] \n  13 -> 27 [size =\"39815168\"]\n  13 -> 28 [size =\"39815168\"]\n  14 [size=\"70195200\", alpha=\"0.15\", expect_size=\"28078080\"] \n  14 -> 23 [size =\"28078080\"]\n  14 -> 24 [size =\"28078080\"]\n  14 -> 25 [size =\"28078080\"]\n  14 -> 26 [size =\"28078080\"]\n  14 -> 27 [size =\"28078080\"]\n  14 -> 28 [size =\"28078080\"]\n  15 [size=\"91084800\", alpha=\"0.16\", expect_size=\"36433920\"] \n  15 -> 24 [size =\"36433920\"]\n  15 -> 25 [size =\"36433920\"]\n  15 -> 26 [size =\"36433920\"]\n  15 -> 28 [size =\"36433920\"]\n  16 [size=\"62123520\", alpha=\"0.05\", expect_size=\"24849408\"] \n  16 -> 25 [size =\"24849408\"]\n  16 -> 27 [size =\"24849408\"]\n  16 -> 28 [size =\"24849408\"]\n  17 [size=\"52395520\", alpha=\"0.17\", expect_size=\"20958208\"] \n  17 -> 23 [size =\"20958208\"]\n  17 -> 26 [size =\"20958208\"]\n  17 -> 27 [size =\"20958208\"]\n  18 [size=\"107394560\", alpha=\"0.08\", expect_size=\"42957824\"] \n  18 -> 23 [size =\"42957824\"]\n  18 -> 26 [size =\"42957824\"]\n  18 -> 27 [size =\"42957824\"]\n  19 [size=\"51814400\", alpha=\"0.11\", expect_size=\"20725760\"] \n  19 -> 23 [size =\"20725760\"]\n  19 -> 26 [size =\"20725760\"]\n  19 -> 28 [size =\"20725760\"]\n  20 [size=\"110689280\", alpha=\"0.15\", expect_size=\"44275712\"] \n  20 -> 23 [size =\"44275712\"]\n  20 -> 24 [size =\"44275712\"]\n  20 -> 26 [size =\"44275712\"]\n  20 -> 28 [size =\"44275712\"]\n  21 [size=\"106332160\", alpha=\"0.11\", expect_size=\"42532864\"] \n  21 -> 23 [size =\"42532864\"]\n  21 -> 26 [size =\"42532864\"]\n  21 -> 26 [size =\"42532864\"]\n  21 -> 27 [size =\"42532864\"]\n  22 [size=\"66373120\", alpha=\"0.06\", expect_size=\"26549248\"] \n  22 -> 23 [size =\"26549248\"]\n  22 -> 26 [size =\"26549248\"]\n  22 -> 27 [size =\"26549248\"]\n  23 [size=\"66652160\", alpha=\"0.17\", expect_size=\"26660864\"] \n  23 -> 30 [size =\"26660864\"]\n  23 -> 31 [size =\"26660864\"]\n  23 -> 35 [size =\"26660864\"]\n  23 -> 36 [size =\"26660864\"]\n  23 -> 37 [size =\"26660864\"]\n  23 -> 39 [size =\"26660864\"]\n  24 [size=\"60879360\", alpha=\"0.09\", expect_size=\"24351744\"] \n  24 -> 35 [size =\"24351744\"]\n  24 -> 36 [size =\"24351744\"]\n  24 -> 38 [size =\"24351744\"]\n  25 [size=\"32729600\", alpha=\"0.03\", expect_size=\"13091840\"] \n  25 -> 30 [size =\"13091840\"]\n  25 -> 31 [size =\"13091840\"]\n  25 -> 33 [size =\"13091840\"]\n  25 -> 34 [size =\"13091840\"]\n  25 -> 35 [size =\"13091840\"]\n  25 -> 36 [size =\"13091840\"]\n  25 -> 37 [size =\"13091840\"]\n  25 -> 38 [size =\"13091840\"]\n  25 -> 43 [size =\"13091840\"]\n  26 [size=\"128360960\", alpha=\"0.15\", expect_size=\"51344384\"] \n  26 -> 30 [size =\"51344384\"]\n  26 -> 31 [size =\"51344384\"]\n  26 -> 33 [size =\"51344384\"]\n  26 -> 35 [size =\"51344384\"]\n  26 -> 36 [size =\"51344384\"]\n  26 -> 37 [size =\"51344384\"]\n  26 -> 37 [size =\"51344384\"]\n  26 -> 38 [size =\"51344384\"]\n  26 -> 39 [size =\"51344384\"]\n  26 -> 40 [size =\"51344384\"]\n  26 -> 41 [size =\"51344384\"]\n  27 [size=\"41605120\", alpha=\"0.15\", expect_size=\"16642048\"] \n  27 -> 30 [size =\"16642048\"]\n  27 -> 33 [size =\"16642048\"]\n  27 -> 35 [size =\"16642048\"]\n  27 -> 36 [size =\"16642048\"]\n  27 -> 40 [size =\"16642048\"]\n  27 -> 43 [size =\"16642048\"]\n  28 [size=\"25361920\", alpha=\"0.18\", expect_size=\"10144768\"] \n  28 -> 30 [size =\"10144768\"]\n  28 -> 31 [size =\"10144768\"]\n  28 -> 32 [size =\"10144768\"]\n  28 -> 33 [size =\"10144768\"]\n  28 -> 35 [size =\"10144768\"]\n  28 -> 36 [size =\"10144768\"]\n  28 -> 37 [size =\"10144768\"]\n  28 -> 38 [size =\"10144768\"]\n  28 -> 39 [size =\"10144768\"]\n  28 -> 40 [size =\"10144768\"]\n  28 -> 42 [size =\"10144768\"]\n  28 -> 43 [size =\"10144768\"]\n  29 [size=\"72276480\", alpha=\"0.19\", expect_size=\"28910592\"] \n  29 -> 30 [size =\"28910592\"]\n  29 -> 31 [size =\"28910592\"]\n  29 -> 32 [size =\"28910592\"]\n  29 -> 35 [size =\"28910592\"]\n  29 -> 36 [size =\"28910592\"]\n  29 -> 37 [size =\"28910592\"]\n  29 -> 38 [size =\"28910592\"]\n  29 -> 38 [size =\"28910592\"]\n  29 -> 39 [size =\"28910592\"]\n  29 -> 41 [size =\"28910592\"]\n  30 [size=\"21032960\", alpha=\"0.17\", expect_size=\"8413184\"] \n  30 -> 45 [size =\"8413184\"]\n  30 -> 47 [size =\"8413184\"]\n  30 -> 48 [size =\"8413184\"]\n  30 -> 50 [size =\"8413184\"]\n  31 [size=\"107919360\", alpha=\"0.18\", expect_size=\"43167744\"] \n  31 -> 44 [size =\"43167744\"]\n  31 -> 45 [size =\"43167744\"]\n  31 -> 46 [size =\"43167744\"]\n  31 -> 47 [size =\"43167744\"]\n  31 -> 50 [size =\"43167744\"]\n  32 [size=\"56624640\", alpha=\"0.20\", expect_size=\"22649856\"] \n  32 -> 45 [size =\"22649856\"]\n  32 -> 48 [size =\"22649856\"]\n  33 [size=\"91307520\", alpha=\"0.16\", expect_size=\"36523008\"] \n  33 -> 45 [size =\"36523008\"]\n  33 -> 46 [size =\"36523008\"]\n  33 -> 49 [size =\"36523008\"]\n  34 [size=\"73336320\", alpha=\"0.02\", expect_size=\"29334528\"] \n  34 -> 45 [size =\"29334528\"]\n  34 -> 48 [size =\"29334528\"]\n  34 -> 50 [size =\"29334528\"]\n  35 [size=\"125040640\", alpha=\"0.01\", expect_size=\"50016256\"] \n  35 -> 45 [size =\"50016256\"]\n  35 -> 47 [size =\"50016256\"]\n  35 -> 50 [size =\"50016256\"]\n  36 [size=\"27223040\", alpha=\"0.09\", expect_size=\"10889216\"] \n  36 -> 45 [size =\"10889216\"]\n  36 -> 49 [size =\"10889216\"]\n  37 [size=\"113502720\", alpha=\"0.03\", expect_size=\"45401088\"] \n  37 -> 44 [size =\"45401088\"]\n  37 -> 45 [size =\"45401088\"]\n  37 -> 47 [size =\"45401088\"]\n  37 -> 49 [size =\"45401088\"]\n  37 -> 50 [size =\"45401088\"]\n  38 [size=\"82693120\", alpha=\"0.13\", expect_size=\"33077248\"] \n  38 -> 45 [size =\"33077248\"]\n  38 -> 46 [size =\"33077248\"]\n  38 -> 47 [size =\"33077248\"]\n  38 -> 48 [size =\"33077248\"]\n  38 -> 50 [size =\"33077248\"]\n  39 [size=\"69056000\", alpha=\"0.09\", expect_size=\"27622400\"] \n  39 -> 44 [size =\"27622400\"]\n  39 -> 47 [size =\"27622400\"]\n  39 -> 50 [size =\"27622400\"]\n  40 [size=\"60264960\", alpha=\"0.03\", expect_size=\"24105984\"] \n  40 -> 45 [size =\"24105984\"]\n  40 -> 46 [size =\"24105984\"]\n  40 -> 48 [size =\"24105984\"]\n  40 -> 49 [size =\"24105984\"]\n  40 -> 50 [size =\"24105984\"]\n  41 [size=\"43325440\", alpha=\"0.12\", expect_size=\"17330176\"] \n  41 -> 45 [size =\"17330176\"]\n  41 -> 46 [size =\"17330176\"]\n  41 -> 50 [size =\"17330176\"]\n  42 [size=\"32847360\", alpha=\"0.10\", expect_size=\"13138944\"] \n  42 -> 47 [size =\"13138944\"]\n  42 -> 50 [size =\"13138944\"]\n  43 [size=\"31695360\", alpha=\"0.17\", expect_size=\"12678144\"] \n  43 -> 45 [size =\"12678144\"]\n  43 -> 46 [size =\"12678144\"]\n  43 -> 47 [size =\"12678144\"]\n  43 -> 48 [size =\"12678144\"]\n  43 -> 50 [size =\"12678144\"]\n  44 [size=\"126297600\", alpha=\"0.12\", expect_size=\"50519040\"] \n  45 [size=\"19852800\", alpha=\"0.10\", expect_size=\"7941120\"] \n  46 [size=\"26265600\", alpha=\"0.09\", expect_size=\"10506240\"] \n  47 [size=\"76595200\", alpha=\"0.11\", expect_size=\"30638080\"] \n  48 [size=\"92160000\", alpha=\"0.16\", expect_size=\"36864000\"] \n  49 [size=\"49290240\", alpha=\"0.12\", expect_size=\"19716096\"] \n  50 [size=\"104655360\", alpha=\"0.08\", expect_size=\"41862144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.537.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98297173\", alpha=\"0.12\", expect_size=\"29489152\"] \n  1 -> 2 [size =\"29489152\"]\n  2 [size=\"59767467\", alpha=\"0.20\", expect_size=\"17930240\"] \n  2 -> 3 [size =\"17930240\"]\n  3 [size=\"67799040\", alpha=\"0.16\", expect_size=\"20339712\"] \n  3 -> 4 [size =\"20339712\"]\n  4 [size=\"108663467\", alpha=\"0.16\", expect_size=\"32599040\"] \n  4 -> 5 [size =\"32599040\"]\n  5 [size=\"137888427\", alpha=\"0.08\", expect_size=\"41366528\"] \n  5 -> 6 [size =\"41366528\"]\n  6 [size=\"169069227\", alpha=\"0.13\", expect_size=\"50720768\"] \n  6 -> 7 [size =\"50720768\"]\n  7 [size=\"18155520\", alpha=\"0.19\", expect_size=\"5446656\"] \n  7 -> 8 [size =\"5446656\"]\n  8 [size=\"31576747\", alpha=\"0.07\", expect_size=\"9473024\"] \n  8 -> 9 [size =\"9473024\"]\n  9 [size=\"100713813\", alpha=\"0.10\", expect_size=\"30214144\"] \n  9 -> 10 [size =\"30214144\"]\n  10 [size=\"171987627\", alpha=\"0.16\", expect_size=\"51596288\"] \n  10 -> 11 [size =\"51596288\"]\n  11 [size=\"168676693\", alpha=\"0.07\", expect_size=\"50603008\"] \n  11 -> 12 [size =\"50603008\"]\n  12 [size=\"107755520\", alpha=\"0.10\", expect_size=\"32326656\"] \n  12 -> 13 [size =\"32326656\"]\n  13 [size=\"107380053\", alpha=\"0.10\", expect_size=\"32214016\"] \n  13 -> 14 [size =\"32214016\"]\n  14 [size=\"77533867\", alpha=\"0.09\", expect_size=\"23260160\"] \n  14 -> 15 [size =\"23260160\"]\n  15 [size=\"42472107\", alpha=\"0.00\", expect_size=\"12741632\"] \n  15 -> 16 [size =\"12741632\"]\n  16 [size=\"108660053\", alpha=\"0.11\", expect_size=\"32598016\"] \n  16 -> 17 [size =\"32598016\"]\n  17 [size=\"53463040\", alpha=\"0.13\", expect_size=\"16038912\"] \n  17 -> 18 [size =\"16038912\"]\n  18 [size=\"44677120\", alpha=\"0.03\", expect_size=\"13403136\"] \n  18 -> 19 [size =\"13403136\"]\n  19 [size=\"98187947\", alpha=\"0.17\", expect_size=\"29456384\"] \n  19 -> 20 [size =\"29456384\"]\n  20 [size=\"22487040\", alpha=\"0.02\", expect_size=\"6746112\"] \n  20 -> 21 [size =\"6746112\"]\n  21 [size=\"149937493\", alpha=\"0.17\", expect_size=\"44981248\"] \n  21 -> 22 [size =\"44981248\"]\n  22 [size=\"48206507\", alpha=\"0.18\", expect_size=\"14461952\"] \n  22 -> 23 [size =\"14461952\"]\n  23 [size=\"124873387\", alpha=\"0.04\", expect_size=\"37462016\"] \n  23 -> 24 [size =\"37462016\"]\n  24 [size=\"47257600\", alpha=\"0.03\", expect_size=\"14177280\"] \n  24 -> 25 [size =\"14177280\"]\n  25 [size=\"119674880\", alpha=\"0.17\", expect_size=\"35902464\"] \n  25 -> 26 [size =\"35902464\"]\n  26 [size=\"120531627\", alpha=\"0.10\", expect_size=\"36159488\"] \n  26 -> 27 [size =\"36159488\"]\n  27 [size=\"47602347\", alpha=\"0.03\", expect_size=\"14280704\"] \n  27 -> 28 [size =\"14280704\"]\n  28 [size=\"147302400\", alpha=\"0.18\", expect_size=\"44190720\"] \n  28 -> 29 [size =\"44190720\"]\n  29 [size=\"172619093\", alpha=\"0.03\", expect_size=\"51785728\"] \n  29 -> 30 [size =\"51785728\"]\n  30 [size=\"150784000\", alpha=\"0.08\", expect_size=\"45235200\"] \n  30 -> 31 [size =\"45235200\"]\n  31 [size=\"166785707\", alpha=\"0.13\", expect_size=\"50035712\"] \n  31 -> 32 [size =\"50035712\"]\n  32 [size=\"144155307\", alpha=\"0.09\", expect_size=\"43246592\"] \n  32 -> 33 [size =\"43246592\"]\n  33 [size=\"125187413\", alpha=\"0.16\", expect_size=\"37556224\"] \n  33 -> 34 [size =\"37556224\"]\n  34 [size=\"160208213\", alpha=\"0.11\", expect_size=\"48062464\"] \n  34 -> 35 [size =\"48062464\"]\n  35 [size=\"25832107\", alpha=\"0.09\", expect_size=\"7749632\"] \n  35 -> 36 [size =\"7749632\"]\n  36 [size=\"157050880\", alpha=\"0.19\", expect_size=\"47115264\"] \n  36 -> 37 [size =\"47115264\"]\n  37 [size=\"76308480\", alpha=\"0.13\", expect_size=\"22892544\"] \n  37 -> 38 [size =\"22892544\"]\n  38 [size=\"98860373\", alpha=\"0.11\", expect_size=\"29658112\"] \n  38 -> 39 [size =\"29658112\"]\n  39 [size=\"81520640\", alpha=\"0.19\", expect_size=\"24456192\"] \n  39 -> 40 [size =\"24456192\"]\n  40 [size=\"107526827\", alpha=\"0.07\", expect_size=\"32258048\"] \n  40 -> 41 [size =\"32258048\"]\n  41 [size=\"174110720\", alpha=\"0.13\", expect_size=\"52233216\"] \n  41 -> 42 [size =\"52233216\"]\n  42 [size=\"117896533\", alpha=\"0.02\", expect_size=\"35368960\"] \n  42 -> 43 [size =\"35368960\"]\n  43 [size=\"29170347\", alpha=\"0.05\", expect_size=\"8751104\"] \n  43 -> 44 [size =\"8751104\"]\n  44 [size=\"155122347\", alpha=\"0.12\", expect_size=\"46536704\"] \n  44 -> 45 [size =\"46536704\"]\n  45 [size=\"83954347\", alpha=\"0.12\", expect_size=\"25186304\"] \n  45 -> 46 [size =\"25186304\"]\n  46 [size=\"155231573\", alpha=\"0.05\", expect_size=\"46569472\"] \n  46 -> 47 [size =\"46569472\"]\n  47 [size=\"145568427\", alpha=\"0.02\", expect_size=\"43670528\"] \n  47 -> 48 [size =\"43670528\"]\n  48 [size=\"90955093\", alpha=\"0.15\", expect_size=\"27286528\"] \n  48 -> 49 [size =\"27286528\"]\n  49 [size=\"18589013\", alpha=\"0.08\", expect_size=\"5576704\"] \n  49 -> 50 [size =\"5576704\"]\n  50 [size=\"166471680\", alpha=\"0.18\", expect_size=\"49941504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.538.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65230848\", alpha=\"0.07\", expect_size=\"32615424\"] \n  1 -> 20 [size =\"32615424\"]\n  1 -> 22 [size =\"32615424\"]\n  1 -> 24 [size =\"32615424\"]\n  1 -> 25 [size =\"32615424\"]\n  1 -> 26 [size =\"32615424\"]\n  1 -> 30 [size =\"32615424\"]\n  2 [size=\"80162816\", alpha=\"0.10\", expect_size=\"40081408\"] \n  2 -> 22 [size =\"40081408\"]\n  2 -> 24 [size =\"40081408\"]\n  2 -> 26 [size =\"40081408\"]\n  2 -> 29 [size =\"40081408\"]\n  3 [size=\"32315392\", alpha=\"0.18\", expect_size=\"16157696\"] \n  3 -> 19 [size =\"16157696\"]\n  3 -> 25 [size =\"16157696\"]\n  3 -> 36 [size =\"16157696\"]\n  4 [size=\"17584128\", alpha=\"0.04\", expect_size=\"8792064\"] \n  4 -> 23 [size =\"8792064\"]\n  4 -> 24 [size =\"8792064\"]\n  4 -> 25 [size =\"8792064\"]\n  4 -> 29 [size =\"8792064\"]\n  4 -> 30 [size =\"8792064\"]\n  4 -> 31 [size =\"8792064\"]\n  5 [size=\"76804096\", alpha=\"0.05\", expect_size=\"38402048\"] \n  5 -> 19 [size =\"38402048\"]\n  5 -> 20 [size =\"38402048\"]\n  5 -> 21 [size =\"38402048\"]\n  5 -> 22 [size =\"38402048\"]\n  5 -> 24 [size =\"38402048\"]\n  5 -> 26 [size =\"38402048\"]\n  5 -> 30 [size =\"38402048\"]\n  6 [size=\"18577408\", alpha=\"0.17\", expect_size=\"9288704\"] \n  6 -> 18 [size =\"9288704\"]\n  6 -> 20 [size =\"9288704\"]\n  6 -> 21 [size =\"9288704\"]\n  6 -> 24 [size =\"9288704\"]\n  6 -> 26 [size =\"9288704\"]\n  6 -> 27 [size =\"9288704\"]\n  6 -> 30 [size =\"9288704\"]\n  6 -> 36 [size =\"9288704\"]\n  7 [size=\"18407424\", alpha=\"0.11\", expect_size=\"9203712\"] \n  7 -> 18 [size =\"9203712\"]\n  7 -> 19 [size =\"9203712\"]\n  7 -> 21 [size =\"9203712\"]\n  7 -> 23 [size =\"9203712\"]\n  7 -> 24 [size =\"9203712\"]\n  7 -> 26 [size =\"9203712\"]\n  7 -> 30 [size =\"9203712\"]\n  7 -> 33 [size =\"9203712\"]\n  7 -> 36 [size =\"9203712\"]\n  8 [size=\"33187840\", alpha=\"0.02\", expect_size=\"16593920\"] \n  8 -> 20 [size =\"16593920\"]\n  8 -> 21 [size =\"16593920\"]\n  8 -> 22 [size =\"16593920\"]\n  8 -> 25 [size =\"16593920\"]\n  8 -> 26 [size =\"16593920\"]\n  8 -> 29 [size =\"16593920\"]\n  8 -> 31 [size =\"16593920\"]\n  8 -> 32 [size =\"16593920\"]\n  8 -> 33 [size =\"16593920\"]\n  8 -> 34 [size =\"16593920\"]\n  9 [size=\"95244288\", alpha=\"0.19\", expect_size=\"47622144\"] \n  9 -> 22 [size =\"47622144\"]\n  9 -> 31 [size =\"47622144\"]\n  9 -> 34 [size =\"47622144\"]\n  10 [size=\"50073600\", alpha=\"0.19\", expect_size=\"25036800\"] \n  10 -> 20 [size =\"25036800\"]\n  10 -> 22 [size =\"25036800\"]\n  10 -> 24 [size =\"25036800\"]\n  10 -> 25 [size =\"25036800\"]\n  10 -> 28 [size =\"25036800\"]\n  10 -> 30 [size =\"25036800\"]\n  10 -> 33 [size =\"25036800\"]\n  11 [size=\"12433408\", alpha=\"0.06\", expect_size=\"6216704\"] \n  11 -> 18 [size =\"6216704\"]\n  11 -> 22 [size =\"6216704\"]\n  11 -> 25 [size =\"6216704\"]\n  11 -> 33 [size =\"6216704\"]\n  11 -> 35 [size =\"6216704\"]\n  12 [size=\"45905920\", alpha=\"0.15\", expect_size=\"22952960\"] \n  12 -> 20 [size =\"22952960\"]\n  12 -> 21 [size =\"22952960\"]\n  12 -> 22 [size =\"22952960\"]\n  12 -> 25 [size =\"22952960\"]\n  12 -> 27 [size =\"22952960\"]\n  12 -> 29 [size =\"22952960\"]\n  12 -> 30 [size =\"22952960\"]\n  12 -> 36 [size =\"22952960\"]\n  13 [size=\"94509056\", alpha=\"0.04\", expect_size=\"47254528\"] \n  13 -> 18 [size =\"47254528\"]\n  13 -> 20 [size =\"47254528\"]\n  13 -> 25 [size =\"47254528\"]\n  13 -> 28 [size =\"47254528\"]\n  13 -> 36 [size =\"47254528\"]\n  14 [size=\"85190656\", alpha=\"0.17\", expect_size=\"42595328\"] \n  14 -> 18 [size =\"42595328\"]\n  14 -> 20 [size =\"42595328\"]\n  14 -> 26 [size =\"42595328\"]\n  14 -> 29 [size =\"42595328\"]\n  14 -> 30 [size =\"42595328\"]\n  14 -> 35 [size =\"42595328\"]\n  14 -> 36 [size =\"42595328\"]\n  15 [size=\"11714560\", alpha=\"0.14\", expect_size=\"5857280\"] \n  15 -> 20 [size =\"5857280\"]\n  15 -> 29 [size =\"5857280\"]\n  16 [size=\"33873920\", alpha=\"0.20\", expect_size=\"16936960\"] \n  16 -> 20 [size =\"16936960\"]\n  16 -> 22 [size =\"16936960\"]\n  16 -> 26 [size =\"16936960\"]\n  16 -> 28 [size =\"16936960\"]\n  16 -> 29 [size =\"16936960\"]\n  17 [size=\"18720768\", alpha=\"0.18\", expect_size=\"9360384\"] \n  17 -> 22 [size =\"9360384\"]\n  17 -> 24 [size =\"9360384\"]\n  17 -> 26 [size =\"9360384\"]\n  17 -> 29 [size =\"9360384\"]\n  17 -> 30 [size =\"9360384\"]\n  17 -> 34 [size =\"9360384\"]\n  17 -> 35 [size =\"9360384\"]\n  18 [size=\"72681472\", alpha=\"0.06\", expect_size=\"36340736\"] \n  18 -> 42 [size =\"36340736\"]\n  18 -> 43 [size =\"36340736\"]\n  18 -> 46 [size =\"36340736\"]\n  18 -> 47 [size =\"36340736\"]\n  18 -> 48 [size =\"36340736\"]\n  19 [size=\"79972352\", alpha=\"0.06\", expect_size=\"39986176\"] \n  20 [size=\"76507136\", alpha=\"0.03\", expect_size=\"38253568\"] \n  20 -> 37 [size =\"38253568\"]\n  20 -> 43 [size =\"38253568\"]\n  20 -> 46 [size =\"38253568\"]\n  21 [size=\"69777408\", alpha=\"0.11\", expect_size=\"34888704\"] \n  21 -> 44 [size =\"34888704\"]\n  21 -> 47 [size =\"34888704\"]\n  22 [size=\"98201600\", alpha=\"0.14\", expect_size=\"49100800\"] \n  22 -> 39 [size =\"49100800\"]\n  22 -> 44 [size =\"49100800\"]\n  22 -> 49 [size =\"49100800\"]\n  23 [size=\"74530816\", alpha=\"0.02\", expect_size=\"37265408\"] \n  23 -> 38 [size =\"37265408\"]\n  23 -> 50 [size =\"37265408\"]\n  24 [size=\"93071360\", alpha=\"0.11\", expect_size=\"46535680\"] \n  24 -> 40 [size =\"46535680\"]\n  24 -> 45 [size =\"46535680\"]\n  24 -> 46 [size =\"46535680\"]\n  25 [size=\"80351232\", alpha=\"0.14\", expect_size=\"40175616\"] \n  25 -> 37 [size =\"40175616\"]\n  25 -> 41 [size =\"40175616\"]\n  25 -> 50 [size =\"40175616\"]\n  26 [size=\"51914752\", alpha=\"0.19\", expect_size=\"25957376\"] \n  26 -> 48 [size =\"25957376\"]\n  26 -> 50 [size =\"25957376\"]\n  27 [size=\"50368512\", alpha=\"0.05\", expect_size=\"25184256\"] \n  27 -> 38 [size =\"25184256\"]\n  27 -> 44 [size =\"25184256\"]\n  27 -> 46 [size =\"25184256\"]\n  27 -> 48 [size =\"25184256\"]\n  28 [size=\"39198720\", alpha=\"0.17\", expect_size=\"19599360\"] \n  28 -> 40 [size =\"19599360\"]\n  28 -> 41 [size =\"19599360\"]\n  28 -> 45 [size =\"19599360\"]\n  28 -> 48 [size =\"19599360\"]\n  29 [size=\"66764800\", alpha=\"0.06\", expect_size=\"33382400\"] \n  29 -> 43 [size =\"33382400\"]\n  29 -> 47 [size =\"33382400\"]\n  30 [size=\"97177600\", alpha=\"0.04\", expect_size=\"48588800\"] \n  30 -> 40 [size =\"48588800\"]\n  30 -> 43 [size =\"48588800\"]\n  30 -> 44 [size =\"48588800\"]\n  30 -> 47 [size =\"48588800\"]\n  31 [size=\"17088512\", alpha=\"0.02\", expect_size=\"8544256\"] \n  31 -> 41 [size =\"8544256\"]\n  32 [size=\"69986304\", alpha=\"0.07\", expect_size=\"34993152\"] \n  32 -> 40 [size =\"34993152\"]\n  32 -> 43 [size =\"34993152\"]\n  32 -> 46 [size =\"34993152\"]\n  32 -> 50 [size =\"34993152\"]\n  33 [size=\"42432512\", alpha=\"0.11\", expect_size=\"21216256\"] \n  33 -> 40 [size =\"21216256\"]\n  33 -> 45 [size =\"21216256\"]\n  33 -> 47 [size =\"21216256\"]\n  34 [size=\"50630656\", alpha=\"0.10\", expect_size=\"25315328\"] \n  34 -> 45 [size =\"25315328\"]\n  34 -> 45 [size =\"25315328\"]\n  35 [size=\"101681152\", alpha=\"0.10\", expect_size=\"50840576\"] \n  35 -> 41 [size =\"50840576\"]\n  35 -> 43 [size =\"50840576\"]\n  35 -> 44 [size =\"50840576\"]\n  35 -> 45 [size =\"50840576\"]\n  36 [size=\"73156608\", alpha=\"0.14\", expect_size=\"36578304\"] \n  36 -> 43 [size =\"36578304\"]\n  36 -> 48 [size =\"36578304\"]\n  36 -> 50 [size =\"36578304\"]\n  37 [size=\"67524608\", alpha=\"0.00\", expect_size=\"33762304\"] \n  38 [size=\"92706816\", alpha=\"0.20\", expect_size=\"46353408\"] \n  39 [size=\"77033472\", alpha=\"0.14\", expect_size=\"38516736\"] \n  40 [size=\"10893312\", alpha=\"0.02\", expect_size=\"5446656\"] \n  41 [size=\"28243968\", alpha=\"0.03\", expect_size=\"14121984\"] \n  42 [size=\"36667392\", alpha=\"0.02\", expect_size=\"18333696\"] \n  43 [size=\"71579648\", alpha=\"0.15\", expect_size=\"35789824\"] \n  44 [size=\"28264448\", alpha=\"0.05\", expect_size=\"14132224\"] \n  45 [size=\"75800576\", alpha=\"0.10\", expect_size=\"37900288\"] \n  46 [size=\"26673152\", alpha=\"0.04\", expect_size=\"13336576\"] \n  47 [size=\"93014016\", alpha=\"0.07\", expect_size=\"46507008\"] \n  48 [size=\"94318592\", alpha=\"0.15\", expect_size=\"47159296\"] \n  49 [size=\"92782592\", alpha=\"0.15\", expect_size=\"46391296\"] \n  50 [size=\"63520768\", alpha=\"0.14\", expect_size=\"31760384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.539.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62440107\", alpha=\"0.11\", expect_size=\"18732032\"] \n  1 -> 4 [size =\"18732032\"]\n  1 -> 5 [size =\"18732032\"]\n  2 [size=\"118381227\", alpha=\"0.08\", expect_size=\"35514368\"] \n  3 [size=\"121258667\", alpha=\"0.04\", expect_size=\"36377600\"] \n  3 -> 4 [size =\"36377600\"]\n  3 -> 5 [size =\"36377600\"]\n  4 [size=\"152709120\", alpha=\"0.06\", expect_size=\"45812736\"] \n  4 -> 6 [size =\"45812736\"]\n  4 -> 7 [size =\"45812736\"]\n  5 [size=\"43782827\", alpha=\"0.18\", expect_size=\"13134848\"] \n  5 -> 6 [size =\"13134848\"]\n  6 [size=\"159054507\", alpha=\"0.01\", expect_size=\"47716352\"] \n  6 -> 8 [size =\"47716352\"]\n  7 [size=\"116722347\", alpha=\"0.00\", expect_size=\"35016704\"] \n  7 -> 8 [size =\"35016704\"]\n  7 -> 9 [size =\"35016704\"]\n  8 [size=\"123248640\", alpha=\"0.17\", expect_size=\"36974592\"] \n  8 -> 10 [size =\"36974592\"]\n  8 -> 12 [size =\"36974592\"]\n  9 [size=\"72755200\", alpha=\"0.18\", expect_size=\"21826560\"] \n  9 -> 10 [size =\"21826560\"]\n  9 -> 11 [size =\"21826560\"]\n  10 [size=\"116974933\", alpha=\"0.07\", expect_size=\"35092480\"] \n  10 -> 13 [size =\"35092480\"]\n  10 -> 14 [size =\"35092480\"]\n  10 -> 15 [size =\"35092480\"]\n  11 [size=\"56552107\", alpha=\"0.10\", expect_size=\"16965632\"] \n  11 -> 14 [size =\"16965632\"]\n  12 [size=\"141550933\", alpha=\"0.07\", expect_size=\"42465280\"] \n  12 -> 13 [size =\"42465280\"]\n  13 [size=\"46701227\", alpha=\"0.14\", expect_size=\"14010368\"] \n  13 -> 16 [size =\"14010368\"]\n  13 -> 17 [size =\"14010368\"]\n  14 [size=\"77373440\", alpha=\"0.16\", expect_size=\"23212032\"] \n  14 -> 16 [size =\"23212032\"]\n  15 [size=\"125736960\", alpha=\"0.05\", expect_size=\"37721088\"] \n  15 -> 16 [size =\"37721088\"]\n  15 -> 17 [size =\"37721088\"]\n  16 [size=\"111534080\", alpha=\"0.18\", expect_size=\"33460224\"] \n  16 -> 18 [size =\"33460224\"]\n  17 [size=\"116264960\", alpha=\"0.02\", expect_size=\"34879488\"] \n  17 -> 19 [size =\"34879488\"]\n  18 [size=\"117183147\", alpha=\"0.09\", expect_size=\"35154944\"] \n  18 -> 20 [size =\"35154944\"]\n  19 [size=\"96795307\", alpha=\"0.17\", expect_size=\"29038592\"] \n  19 -> 20 [size =\"29038592\"]\n  19 -> 21 [size =\"29038592\"]\n  19 -> 22 [size =\"29038592\"]\n  20 [size=\"83694933\", alpha=\"0.11\", expect_size=\"25108480\"] \n  20 -> 23 [size =\"25108480\"]\n  20 -> 24 [size =\"25108480\"]\n  21 [size=\"136038400\", alpha=\"0.12\", expect_size=\"40811520\"] \n  21 -> 23 [size =\"40811520\"]\n  21 -> 25 [size =\"40811520\"]\n  22 [size=\"60968960\", alpha=\"0.05\", expect_size=\"18290688\"] \n  22 -> 25 [size =\"18290688\"]\n  23 [size=\"112452267\", alpha=\"0.12\", expect_size=\"33735680\"] \n  23 -> 26 [size =\"33735680\"]\n  23 -> 28 [size =\"33735680\"]\n  24 [size=\"65293653\", alpha=\"0.15\", expect_size=\"19588096\"] \n  24 -> 26 [size =\"19588096\"]\n  24 -> 27 [size =\"19588096\"]\n  25 [size=\"33863680\", alpha=\"0.02\", expect_size=\"10159104\"] \n  25 -> 27 [size =\"10159104\"]\n  26 [size=\"73902080\", alpha=\"0.07\", expect_size=\"22170624\"] \n  26 -> 30 [size =\"22170624\"]\n  27 [size=\"55691947\", alpha=\"0.05\", expect_size=\"16707584\"] \n  27 -> 29 [size =\"16707584\"]\n  28 [size=\"67566933\", alpha=\"0.16\", expect_size=\"20270080\"] \n  28 -> 29 [size =\"20270080\"]\n  29 [size=\"136386560\", alpha=\"0.14\", expect_size=\"40915968\"] \n  29 -> 31 [size =\"40915968\"]\n  29 -> 32 [size =\"40915968\"]\n  30 [size=\"109574827\", alpha=\"0.05\", expect_size=\"32872448\"] \n  30 -> 31 [size =\"32872448\"]\n  30 -> 32 [size =\"32872448\"]\n  31 [size=\"41495893\", alpha=\"0.01\", expect_size=\"12448768\"] \n  31 -> 33 [size =\"12448768\"]\n  31 -> 35 [size =\"12448768\"]\n  32 [size=\"134403413\", alpha=\"0.12\", expect_size=\"40321024\"] \n  32 -> 33 [size =\"40321024\"]\n  32 -> 34 [size =\"40321024\"]\n  32 -> 35 [size =\"40321024\"]\n  33 [size=\"174629547\", alpha=\"0.08\", expect_size=\"52388864\"] \n  33 -> 36 [size =\"52388864\"]\n  33 -> 37 [size =\"52388864\"]\n  33 -> 38 [size =\"52388864\"]\n  34 [size=\"108670293\", alpha=\"0.11\", expect_size=\"32601088\"] \n  35 [size=\"71761920\", alpha=\"0.07\", expect_size=\"21528576\"] \n  35 -> 38 [size =\"21528576\"]\n  36 [size=\"90214400\", alpha=\"0.16\", expect_size=\"27064320\"] \n  36 -> 39 [size =\"27064320\"]\n  37 [size=\"148316160\", alpha=\"0.17\", expect_size=\"44494848\"] \n  37 -> 39 [size =\"44494848\"]\n  37 -> 40 [size =\"44494848\"]\n  38 [size=\"30750720\", alpha=\"0.11\", expect_size=\"9225216\"] \n  39 [size=\"157859840\", alpha=\"0.15\", expect_size=\"47357952\"] \n  39 -> 41 [size =\"47357952\"]\n  39 -> 42 [size =\"47357952\"]\n  40 [size=\"113066667\", alpha=\"0.07\", expect_size=\"33920000\"] \n  40 -> 42 [size =\"33920000\"]\n  41 [size=\"153156267\", alpha=\"0.14\", expect_size=\"45946880\"] \n  41 -> 44 [size =\"45946880\"]\n  42 [size=\"159924907\", alpha=\"0.07\", expect_size=\"47977472\"] \n  42 -> 43 [size =\"47977472\"]\n  42 -> 44 [size =\"47977472\"]\n  43 [size=\"100157440\", alpha=\"0.12\", expect_size=\"30047232\"] \n  43 -> 46 [size =\"30047232\"]\n  44 [size=\"160368640\", alpha=\"0.04\", expect_size=\"48110592\"] \n  44 -> 45 [size =\"48110592\"]\n  44 -> 46 [size =\"48110592\"]\n  45 [size=\"85882880\", alpha=\"0.17\", expect_size=\"25764864\"] \n  45 -> 47 [size =\"25764864\"]\n  45 -> 48 [size =\"25764864\"]\n  46 [size=\"142247253\", alpha=\"0.17\", expect_size=\"42674176\"] \n  46 -> 47 [size =\"42674176\"]\n  46 -> 48 [size =\"42674176\"]\n  47 [size=\"108950187\", alpha=\"0.02\", expect_size=\"32685056\"] \n  47 -> 49 [size =\"32685056\"]\n  47 -> 50 [size =\"32685056\"]\n  48 [size=\"84780373\", alpha=\"0.14\", expect_size=\"25434112\"] \n  48 -> 49 [size =\"25434112\"]\n  49 [size=\"169448107\", alpha=\"0.01\", expect_size=\"50834432\"] \n  50 [size=\"127699627\", alpha=\"0.19\", expect_size=\"38309888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73813333\", alpha=\"0.11\", expect_size=\"22144000\"] \n  2 [size=\"62955520\", alpha=\"0.13\", expect_size=\"18886656\"] \n  2 -> 4 [size =\"18886656\"]\n  2 -> 6 [size =\"18886656\"]\n  3 [size=\"52322987\", alpha=\"0.05\", expect_size=\"15696896\"] \n  3 -> 5 [size =\"15696896\"]\n  3 -> 6 [size =\"15696896\"]\n  4 [size=\"97856853\", alpha=\"0.17\", expect_size=\"29357056\"] \n  5 [size=\"64634880\", alpha=\"0.09\", expect_size=\"19390464\"] \n  6 [size=\"142936747\", alpha=\"0.01\", expect_size=\"42881024\"] \n  6 -> 7 [size =\"42881024\"]\n  6 -> 8 [size =\"42881024\"]\n  7 [size=\"64300373\", alpha=\"0.08\", expect_size=\"19290112\"] \n  7 -> 10 [size =\"19290112\"]\n  7 -> 11 [size =\"19290112\"]\n  8 [size=\"166256640\", alpha=\"0.11\", expect_size=\"49876992\"] \n  8 -> 9 [size =\"49876992\"]\n  9 [size=\"79336107\", alpha=\"0.12\", expect_size=\"23800832\"] \n  9 -> 13 [size =\"23800832\"]\n  10 [size=\"168936107\", alpha=\"0.06\", expect_size=\"50680832\"] \n  10 -> 12 [size =\"50680832\"]\n  11 [size=\"35068587\", alpha=\"0.17\", expect_size=\"10520576\"] \n  11 -> 12 [size =\"10520576\"]\n  12 [size=\"120337067\", alpha=\"0.17\", expect_size=\"36101120\"] \n  12 -> 14 [size =\"36101120\"]\n  12 -> 16 [size =\"36101120\"]\n  13 [size=\"62136320\", alpha=\"0.14\", expect_size=\"18640896\"] \n  13 -> 15 [size =\"18640896\"]\n  14 [size=\"101700267\", alpha=\"0.05\", expect_size=\"30510080\"] \n  14 -> 17 [size =\"30510080\"]\n  14 -> 18 [size =\"30510080\"]\n  14 -> 19 [size =\"30510080\"]\n  15 [size=\"81162240\", alpha=\"0.00\", expect_size=\"24348672\"] \n  15 -> 19 [size =\"24348672\"]\n  16 [size=\"151033173\", alpha=\"0.10\", expect_size=\"45309952\"] \n  17 [size=\"162297173\", alpha=\"0.09\", expect_size=\"48689152\"] \n  17 -> 22 [size =\"48689152\"]\n  18 [size=\"66150400\", alpha=\"0.13\", expect_size=\"19845120\"] \n  18 -> 22 [size =\"19845120\"]\n  19 [size=\"152074240\", alpha=\"0.19\", expect_size=\"45622272\"] \n  19 -> 20 [size =\"45622272\"]\n  19 -> 21 [size =\"45622272\"]\n  20 [size=\"91132587\", alpha=\"0.18\", expect_size=\"27339776\"] \n  20 -> 23 [size =\"27339776\"]\n  20 -> 24 [size =\"27339776\"]\n  21 [size=\"139086507\", alpha=\"0.05\", expect_size=\"41725952\"] \n  22 [size=\"113967787\", alpha=\"0.17\", expect_size=\"34190336\"] \n  23 [size=\"90231467\", alpha=\"0.14\", expect_size=\"27069440\"] \n  23 -> 25 [size =\"27069440\"]\n  23 -> 26 [size =\"27069440\"]\n  24 [size=\"46267733\", alpha=\"0.01\", expect_size=\"13880320\"] \n  25 [size=\"83022507\", alpha=\"0.13\", expect_size=\"24906752\"] \n  25 -> 27 [size =\"24906752\"]\n  25 -> 28 [size =\"24906752\"]\n  25 -> 29 [size =\"24906752\"]\n  26 [size=\"84101120\", alpha=\"0.02\", expect_size=\"25230336\"] \n  27 [size=\"162645333\", alpha=\"0.17\", expect_size=\"48793600\"] \n  27 -> 30 [size =\"48793600\"]\n  27 -> 31 [size =\"48793600\"]\n  28 [size=\"78766080\", alpha=\"0.11\", expect_size=\"23629824\"] \n  28 -> 31 [size =\"23629824\"]\n  29 [size=\"27023360\", alpha=\"0.12\", expect_size=\"8107008\"] \n  30 [size=\"20944213\", alpha=\"0.13\", expect_size=\"6283264\"] \n  30 -> 33 [size =\"6283264\"]\n  31 [size=\"166171307\", alpha=\"0.16\", expect_size=\"49851392\"] \n  31 -> 32 [size =\"49851392\"]\n  32 [size=\"47185920\", alpha=\"0.12\", expect_size=\"14155776\"] \n  33 [size=\"24036693\", alpha=\"0.14\", expect_size=\"7211008\"] \n  33 -> 34 [size =\"7211008\"]\n  33 -> 35 [size =\"7211008\"]\n  34 [size=\"131580587\", alpha=\"0.06\", expect_size=\"39474176\"] \n  35 [size=\"135621973\", alpha=\"0.07\", expect_size=\"40686592\"] \n  35 -> 36 [size =\"40686592\"]\n  35 -> 37 [size =\"40686592\"]\n  36 [size=\"83319467\", alpha=\"0.04\", expect_size=\"24995840\"] \n  36 -> 39 [size =\"24995840\"]\n  37 [size=\"100136960\", alpha=\"0.00\", expect_size=\"30041088\"] \n  37 -> 38 [size =\"30041088\"]\n  38 [size=\"75612160\", alpha=\"0.03\", expect_size=\"22683648\"] \n  38 -> 40 [size =\"22683648\"]\n  38 -> 42 [size =\"22683648\"]\n  39 [size=\"158525440\", alpha=\"0.02\", expect_size=\"47557632\"] \n  39 -> 41 [size =\"47557632\"]\n  40 [size=\"96167253\", alpha=\"0.11\", expect_size=\"28850176\"] \n  40 -> 43 [size =\"28850176\"]\n  40 -> 44 [size =\"28850176\"]\n  41 [size=\"39997440\", alpha=\"0.15\", expect_size=\"11999232\"] \n  41 -> 44 [size =\"11999232\"]\n  41 -> 45 [size =\"11999232\"]\n  42 [size=\"164898133\", alpha=\"0.11\", expect_size=\"49469440\"] \n  43 [size=\"101870933\", alpha=\"0.17\", expect_size=\"30561280\"] \n  44 [size=\"52865707\", alpha=\"0.06\", expect_size=\"15859712\"] \n  44 -> 46 [size =\"15859712\"]\n  44 -> 47 [size =\"15859712\"]\n  45 [size=\"102103040\", alpha=\"0.04\", expect_size=\"30630912\"] \n  45 -> 48 [size =\"30630912\"]\n  46 [size=\"155985920\", alpha=\"0.10\", expect_size=\"46795776\"] \n  46 -> 49 [size =\"46795776\"]\n  46 -> 50 [size =\"46795776\"]\n  47 [size=\"33505280\", alpha=\"0.14\", expect_size=\"10051584\"] \n  48 [size=\"36765013\", alpha=\"0.07\", expect_size=\"11029504\"] \n  49 [size=\"57156267\", alpha=\"0.00\", expect_size=\"17146880\"] \n  50 [size=\"71994027\", alpha=\"0.14\", expect_size=\"21598208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.540.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27174400\", alpha=\"0.17\", expect_size=\"10869760\"] \n  1 -> 2 [size =\"10869760\"]\n  2 [size=\"50813440\", alpha=\"0.13\", expect_size=\"20325376\"] \n  2 -> 3 [size =\"20325376\"]\n  3 [size=\"74004480\", alpha=\"0.05\", expect_size=\"29601792\"] \n  3 -> 4 [size =\"29601792\"]\n  4 [size=\"53913600\", alpha=\"0.14\", expect_size=\"21565440\"] \n  4 -> 5 [size =\"21565440\"]\n  5 [size=\"94850560\", alpha=\"0.09\", expect_size=\"37940224\"] \n  5 -> 6 [size =\"37940224\"]\n  6 [size=\"71239680\", alpha=\"0.01\", expect_size=\"28495872\"] \n  6 -> 7 [size =\"28495872\"]\n  7 [size=\"103982080\", alpha=\"0.18\", expect_size=\"41592832\"] \n  7 -> 8 [size =\"41592832\"]\n  8 [size=\"75599360\", alpha=\"0.11\", expect_size=\"30239744\"] \n  8 -> 9 [size =\"30239744\"]\n  9 [size=\"126656000\", alpha=\"0.18\", expect_size=\"50662400\"] \n  9 -> 10 [size =\"50662400\"]\n  10 [size=\"97912320\", alpha=\"0.06\", expect_size=\"39164928\"] \n  10 -> 11 [size =\"39164928\"]\n  11 [size=\"105310720\", alpha=\"0.04\", expect_size=\"42124288\"] \n  11 -> 12 [size =\"42124288\"]\n  12 [size=\"89210880\", alpha=\"0.10\", expect_size=\"35684352\"] \n  12 -> 13 [size =\"35684352\"]\n  13 [size=\"47421440\", alpha=\"0.14\", expect_size=\"18968576\"] \n  13 -> 14 [size =\"18968576\"]\n  14 [size=\"79810560\", alpha=\"0.14\", expect_size=\"31924224\"] \n  14 -> 15 [size =\"31924224\"]\n  15 [size=\"44935680\", alpha=\"0.12\", expect_size=\"17974272\"] \n  15 -> 16 [size =\"17974272\"]\n  16 [size=\"98370560\", alpha=\"0.05\", expect_size=\"39348224\"] \n  16 -> 17 [size =\"39348224\"]\n  17 [size=\"102666240\", alpha=\"0.14\", expect_size=\"41066496\"] \n  17 -> 18 [size =\"41066496\"]\n  18 [size=\"88010240\", alpha=\"0.19\", expect_size=\"35204096\"] \n  18 -> 19 [size =\"35204096\"]\n  19 [size=\"36503040\", alpha=\"0.13\", expect_size=\"14601216\"] \n  19 -> 20 [size =\"14601216\"]\n  20 [size=\"22937600\", alpha=\"0.15\", expect_size=\"9175040\"] \n  20 -> 21 [size =\"9175040\"]\n  21 [size=\"59008000\", alpha=\"0.19\", expect_size=\"23603200\"] \n  21 -> 22 [size =\"23603200\"]\n  22 [size=\"82654720\", alpha=\"0.10\", expect_size=\"33061888\"] \n  22 -> 23 [size =\"33061888\"]\n  23 [size=\"22136320\", alpha=\"0.11\", expect_size=\"8854528\"] \n  23 -> 24 [size =\"8854528\"]\n  24 [size=\"106437120\", alpha=\"0.19\", expect_size=\"42574848\"] \n  24 -> 25 [size =\"42574848\"]\n  25 [size=\"71180800\", alpha=\"0.01\", expect_size=\"28472320\"] \n  25 -> 26 [size =\"28472320\"]\n  26 [size=\"26780160\", alpha=\"0.12\", expect_size=\"10712064\"] \n  26 -> 27 [size =\"10712064\"]\n  27 [size=\"56678400\", alpha=\"0.19\", expect_size=\"22671360\"] \n  27 -> 28 [size =\"22671360\"]\n  28 [size=\"19509760\", alpha=\"0.17\", expect_size=\"7803904\"] \n  28 -> 29 [size =\"7803904\"]\n  29 [size=\"130355200\", alpha=\"0.14\", expect_size=\"52142080\"] \n  29 -> 30 [size =\"52142080\"]\n  30 [size=\"87795200\", alpha=\"0.05\", expect_size=\"35118080\"] \n  30 -> 31 [size =\"35118080\"]\n  31 [size=\"56609280\", alpha=\"0.12\", expect_size=\"22643712\"] \n  31 -> 32 [size =\"22643712\"]\n  32 [size=\"50864640\", alpha=\"0.12\", expect_size=\"20345856\"] \n  32 -> 33 [size =\"20345856\"]\n  33 [size=\"108275200\", alpha=\"0.18\", expect_size=\"43310080\"] \n  33 -> 34 [size =\"43310080\"]\n  34 [size=\"53803520\", alpha=\"0.15\", expect_size=\"21521408\"] \n  34 -> 35 [size =\"21521408\"]\n  35 [size=\"46225920\", alpha=\"0.17\", expect_size=\"18490368\"] \n  35 -> 36 [size =\"18490368\"]\n  36 [size=\"49320960\", alpha=\"0.14\", expect_size=\"19728384\"] \n  36 -> 37 [size =\"19728384\"]\n  37 [size=\"121218560\", alpha=\"0.06\", expect_size=\"48487424\"] \n  37 -> 38 [size =\"48487424\"]\n  38 [size=\"116869120\", alpha=\"0.10\", expect_size=\"46747648\"] \n  38 -> 39 [size =\"46747648\"]\n  39 [size=\"98767360\", alpha=\"0.19\", expect_size=\"39506944\"] \n  39 -> 40 [size =\"39506944\"]\n  40 [size=\"62494720\", alpha=\"0.09\", expect_size=\"24997888\"] \n  40 -> 41 [size =\"24997888\"]\n  41 [size=\"92861440\", alpha=\"0.07\", expect_size=\"37144576\"] \n  41 -> 42 [size =\"37144576\"]\n  42 [size=\"46141440\", alpha=\"0.17\", expect_size=\"18456576\"] \n  42 -> 43 [size =\"18456576\"]\n  43 [size=\"116400640\", alpha=\"0.09\", expect_size=\"46560256\"] \n  43 -> 44 [size =\"46560256\"]\n  44 [size=\"102028800\", alpha=\"0.16\", expect_size=\"40811520\"] \n  44 -> 45 [size =\"40811520\"]\n  45 [size=\"69729280\", alpha=\"0.13\", expect_size=\"27891712\"] \n  45 -> 46 [size =\"27891712\"]\n  46 [size=\"51328000\", alpha=\"0.13\", expect_size=\"20531200\"] \n  46 -> 47 [size =\"20531200\"]\n  47 [size=\"14126080\", alpha=\"0.19\", expect_size=\"5650432\"] \n  47 -> 48 [size =\"5650432\"]\n  48 [size=\"47682560\", alpha=\"0.07\", expect_size=\"19073024\"] \n  48 -> 49 [size =\"19073024\"]\n  49 [size=\"108938240\", alpha=\"0.15\", expect_size=\"43575296\"] \n  49 -> 50 [size =\"43575296\"]\n  50 [size=\"103321600\", alpha=\"0.16\", expect_size=\"41328640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.541.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115960320\", alpha=\"0.13\", expect_size=\"46384128\"] \n  1 -> 12 [size =\"46384128\"]\n  1 -> 13 [size =\"46384128\"]\n  1 -> 15 [size =\"46384128\"]\n  1 -> 18 [size =\"46384128\"]\n  1 -> 21 [size =\"46384128\"]\n  1 -> 25 [size =\"46384128\"]\n  2 [size=\"114565120\", alpha=\"0.20\", expect_size=\"45826048\"] \n  2 -> 12 [size =\"45826048\"]\n  2 -> 14 [size =\"45826048\"]\n  2 -> 17 [size =\"45826048\"]\n  2 -> 18 [size =\"45826048\"]\n  2 -> 19 [size =\"45826048\"]\n  2 -> 20 [size =\"45826048\"]\n  2 -> 23 [size =\"45826048\"]\n  2 -> 24 [size =\"45826048\"]\n  2 -> 27 [size =\"45826048\"]\n  3 [size=\"80732160\", alpha=\"0.12\", expect_size=\"32292864\"] \n  3 -> 12 [size =\"32292864\"]\n  3 -> 13 [size =\"32292864\"]\n  3 -> 16 [size =\"32292864\"]\n  3 -> 20 [size =\"32292864\"]\n  3 -> 22 [size =\"32292864\"]\n  3 -> 23 [size =\"32292864\"]\n  3 -> 24 [size =\"32292864\"]\n  3 -> 25 [size =\"32292864\"]\n  4 [size=\"63380480\", alpha=\"0.02\", expect_size=\"25352192\"] \n  4 -> 12 [size =\"25352192\"]\n  4 -> 13 [size =\"25352192\"]\n  4 -> 14 [size =\"25352192\"]\n  4 -> 15 [size =\"25352192\"]\n  4 -> 20 [size =\"25352192\"]\n  4 -> 25 [size =\"25352192\"]\n  5 [size=\"76183040\", alpha=\"0.09\", expect_size=\"30473216\"] \n  5 -> 12 [size =\"30473216\"]\n  5 -> 13 [size =\"30473216\"]\n  5 -> 16 [size =\"30473216\"]\n  5 -> 20 [size =\"30473216\"]\n  5 -> 24 [size =\"30473216\"]\n  6 [size=\"93959680\", alpha=\"0.12\", expect_size=\"37583872\"] \n  6 -> 17 [size =\"37583872\"]\n  6 -> 18 [size =\"37583872\"]\n  6 -> 20 [size =\"37583872\"]\n  6 -> 21 [size =\"37583872\"]\n  6 -> 22 [size =\"37583872\"]\n  6 -> 26 [size =\"37583872\"]\n  7 [size=\"61237760\", alpha=\"0.13\", expect_size=\"24495104\"] \n  7 -> 13 [size =\"24495104\"]\n  7 -> 14 [size =\"24495104\"]\n  7 -> 15 [size =\"24495104\"]\n  7 -> 19 [size =\"24495104\"]\n  8 [size=\"20392960\", alpha=\"0.16\", expect_size=\"8157184\"] \n  8 -> 12 [size =\"8157184\"]\n  8 -> 14 [size =\"8157184\"]\n  8 -> 15 [size =\"8157184\"]\n  8 -> 17 [size =\"8157184\"]\n  8 -> 19 [size =\"8157184\"]\n  8 -> 23 [size =\"8157184\"]\n  8 -> 26 [size =\"8157184\"]\n  9 [size=\"116037120\", alpha=\"0.12\", expect_size=\"46414848\"] \n  9 -> 15 [size =\"46414848\"]\n  9 -> 17 [size =\"46414848\"]\n  9 -> 19 [size =\"46414848\"]\n  9 -> 21 [size =\"46414848\"]\n  9 -> 22 [size =\"46414848\"]\n  10 [size=\"17605120\", alpha=\"0.05\", expect_size=\"7042048\"] \n  10 -> 17 [size =\"7042048\"]\n  10 -> 21 [size =\"7042048\"]\n  10 -> 24 [size =\"7042048\"]\n  11 [size=\"120368640\", alpha=\"0.18\", expect_size=\"48147456\"] \n  11 -> 16 [size =\"48147456\"]\n  11 -> 17 [size =\"48147456\"]\n  11 -> 18 [size =\"48147456\"]\n  11 -> 19 [size =\"48147456\"]\n  11 -> 22 [size =\"48147456\"]\n  11 -> 24 [size =\"48147456\"]\n  11 -> 25 [size =\"48147456\"]\n  12 [size=\"78036480\", alpha=\"0.20\", expect_size=\"31214592\"] \n  12 -> 28 [size =\"31214592\"]\n  12 -> 29 [size =\"31214592\"]\n  12 -> 34 [size =\"31214592\"]\n  12 -> 41 [size =\"31214592\"]\n  12 -> 42 [size =\"31214592\"]\n  12 -> 43 [size =\"31214592\"]\n  13 [size=\"76474880\", alpha=\"0.16\", expect_size=\"30589952\"] \n  13 -> 28 [size =\"30589952\"]\n  13 -> 31 [size =\"30589952\"]\n  13 -> 37 [size =\"30589952\"]\n  13 -> 39 [size =\"30589952\"]\n  13 -> 41 [size =\"30589952\"]\n  13 -> 43 [size =\"30589952\"]\n  14 [size=\"26664960\", alpha=\"0.18\", expect_size=\"10665984\"] \n  14 -> 31 [size =\"10665984\"]\n  14 -> 31 [size =\"10665984\"]\n  14 -> 32 [size =\"10665984\"]\n  14 -> 37 [size =\"10665984\"]\n  15 [size=\"35776000\", alpha=\"0.11\", expect_size=\"14310400\"] \n  15 -> 28 [size =\"14310400\"]\n  15 -> 33 [size =\"14310400\"]\n  15 -> 37 [size =\"14310400\"]\n  15 -> 39 [size =\"14310400\"]\n  15 -> 42 [size =\"14310400\"]\n  15 -> 43 [size =\"14310400\"]\n  16 [size=\"90178560\", alpha=\"0.09\", expect_size=\"36071424\"] \n  16 -> 28 [size =\"36071424\"]\n  16 -> 31 [size =\"36071424\"]\n  16 -> 34 [size =\"36071424\"]\n  16 -> 39 [size =\"36071424\"]\n  16 -> 42 [size =\"36071424\"]\n  17 [size=\"45480960\", alpha=\"0.12\", expect_size=\"18192384\"] \n  17 -> 29 [size =\"18192384\"]\n  18 [size=\"122618880\", alpha=\"0.15\", expect_size=\"49047552\"] \n  18 -> 36 [size =\"49047552\"]\n  18 -> 38 [size =\"49047552\"]\n  18 -> 40 [size =\"49047552\"]\n  18 -> 41 [size =\"49047552\"]\n  19 [size=\"98408960\", alpha=\"0.18\", expect_size=\"39363584\"] \n  19 -> 30 [size =\"39363584\"]\n  19 -> 32 [size =\"39363584\"]\n  19 -> 37 [size =\"39363584\"]\n  19 -> 38 [size =\"39363584\"]\n  19 -> 40 [size =\"39363584\"]\n  20 [size=\"53281280\", alpha=\"0.13\", expect_size=\"21312512\"] \n  20 -> 30 [size =\"21312512\"]\n  20 -> 38 [size =\"21312512\"]\n  20 -> 40 [size =\"21312512\"]\n  20 -> 41 [size =\"21312512\"]\n  21 [size=\"82782720\", alpha=\"0.07\", expect_size=\"33113088\"] \n  21 -> 30 [size =\"33113088\"]\n  21 -> 38 [size =\"33113088\"]\n  21 -> 39 [size =\"33113088\"]\n  21 -> 41 [size =\"33113088\"]\n  22 [size=\"71843840\", alpha=\"0.17\", expect_size=\"28737536\"] \n  22 -> 29 [size =\"28737536\"]\n  22 -> 33 [size =\"28737536\"]\n  22 -> 38 [size =\"28737536\"]\n  22 -> 39 [size =\"28737536\"]\n  22 -> 43 [size =\"28737536\"]\n  23 [size=\"71016960\", alpha=\"0.18\", expect_size=\"28406784\"] \n  23 -> 29 [size =\"28406784\"]\n  23 -> 39 [size =\"28406784\"]\n  23 -> 40 [size =\"28406784\"]\n  23 -> 41 [size =\"28406784\"]\n  23 -> 42 [size =\"28406784\"]\n  24 [size=\"48450560\", alpha=\"0.09\", expect_size=\"19380224\"] \n  24 -> 28 [size =\"19380224\"]\n  24 -> 30 [size =\"19380224\"]\n  24 -> 36 [size =\"19380224\"]\n  24 -> 40 [size =\"19380224\"]\n  24 -> 41 [size =\"19380224\"]\n  25 [size=\"35182080\", alpha=\"0.10\", expect_size=\"14072832\"] \n  25 -> 28 [size =\"14072832\"]\n  25 -> 31 [size =\"14072832\"]\n  25 -> 32 [size =\"14072832\"]\n  25 -> 36 [size =\"14072832\"]\n  25 -> 37 [size =\"14072832\"]\n  25 -> 40 [size =\"14072832\"]\n  26 [size=\"101980160\", alpha=\"0.04\", expect_size=\"40792064\"] \n  26 -> 28 [size =\"40792064\"]\n  26 -> 31 [size =\"40792064\"]\n  26 -> 32 [size =\"40792064\"]\n  26 -> 34 [size =\"40792064\"]\n  26 -> 37 [size =\"40792064\"]\n  26 -> 40 [size =\"40792064\"]\n  26 -> 43 [size =\"40792064\"]\n  27 [size=\"39098880\", alpha=\"0.07\", expect_size=\"15639552\"] \n  27 -> 30 [size =\"15639552\"]\n  27 -> 35 [size =\"15639552\"]\n  27 -> 40 [size =\"15639552\"]\n  28 [size=\"107092480\", alpha=\"0.11\", expect_size=\"42836992\"] \n  28 -> 44 [size =\"42836992\"]\n  28 -> 46 [size =\"42836992\"]\n  28 -> 48 [size =\"42836992\"]\n  29 [size=\"79354880\", alpha=\"0.13\", expect_size=\"31741952\"] \n  29 -> 44 [size =\"31741952\"]\n  29 -> 48 [size =\"31741952\"]\n  29 -> 50 [size =\"31741952\"]\n  30 [size=\"66731520\", alpha=\"0.15\", expect_size=\"26692608\"] \n  30 -> 44 [size =\"26692608\"]\n  30 -> 45 [size =\"26692608\"]\n  30 -> 46 [size =\"26692608\"]\n  30 -> 49 [size =\"26692608\"]\n  30 -> 50 [size =\"26692608\"]\n  31 [size=\"28224000\", alpha=\"0.15\", expect_size=\"11289600\"] \n  31 -> 46 [size =\"11289600\"]\n  31 -> 49 [size =\"11289600\"]\n  31 -> 50 [size =\"11289600\"]\n  32 [size=\"66688000\", alpha=\"0.07\", expect_size=\"26675200\"] \n  32 -> 44 [size =\"26675200\"]\n  32 -> 46 [size =\"26675200\"]\n  32 -> 47 [size =\"26675200\"]\n  33 [size=\"47651840\", alpha=\"0.09\", expect_size=\"19060736\"] \n  33 -> 45 [size =\"19060736\"]\n  33 -> 46 [size =\"19060736\"]\n  33 -> 48 [size =\"19060736\"]\n  33 -> 50 [size =\"19060736\"]\n  34 [size=\"38743040\", alpha=\"0.13\", expect_size=\"15497216\"] \n  34 -> 46 [size =\"15497216\"]\n  34 -> 46 [size =\"15497216\"]\n  34 -> 48 [size =\"15497216\"]\n  34 -> 50 [size =\"15497216\"]\n  35 [size=\"90234880\", alpha=\"0.02\", expect_size=\"36093952\"] \n  35 -> 46 [size =\"36093952\"]\n  35 -> 47 [size =\"36093952\"]\n  35 -> 48 [size =\"36093952\"]\n  35 -> 49 [size =\"36093952\"]\n  35 -> 50 [size =\"36093952\"]\n  36 [size=\"29278720\", alpha=\"0.03\", expect_size=\"11711488\"] \n  36 -> 45 [size =\"11711488\"]\n  36 -> 47 [size =\"11711488\"]\n  36 -> 48 [size =\"11711488\"]\n  36 -> 49 [size =\"11711488\"]\n  36 -> 50 [size =\"11711488\"]\n  37 [size=\"54691840\", alpha=\"0.10\", expect_size=\"21876736\"] \n  38 [size=\"96642560\", alpha=\"0.16\", expect_size=\"38657024\"] \n  38 -> 45 [size =\"38657024\"]\n  38 -> 47 [size =\"38657024\"]\n  39 [size=\"44451840\", alpha=\"0.15\", expect_size=\"17780736\"] \n  39 -> 45 [size =\"17780736\"]\n  39 -> 49 [size =\"17780736\"]\n  39 -> 50 [size =\"17780736\"]\n  40 [size=\"119014400\", alpha=\"0.02\", expect_size=\"47605760\"] \n  40 -> 45 [size =\"47605760\"]\n  41 [size=\"88903680\", alpha=\"0.01\", expect_size=\"35561472\"] \n  41 -> 44 [size =\"35561472\"]\n  41 -> 49 [size =\"35561472\"]\n  42 [size=\"61381120\", alpha=\"0.09\", expect_size=\"24552448\"] \n  42 -> 44 [size =\"24552448\"]\n  42 -> 45 [size =\"24552448\"]\n  42 -> 49 [size =\"24552448\"]\n  43 [size=\"101376000\", alpha=\"0.08\", expect_size=\"40550400\"] \n  43 -> 44 [size =\"40550400\"]\n  44 [size=\"36328960\", alpha=\"0.12\", expect_size=\"14531584\"] \n  45 [size=\"115729920\", alpha=\"0.20\", expect_size=\"46291968\"] \n  46 [size=\"126315520\", alpha=\"0.03\", expect_size=\"50526208\"] \n  47 [size=\"27197440\", alpha=\"0.11\", expect_size=\"10878976\"] \n  48 [size=\"86676480\", alpha=\"0.14\", expect_size=\"34670592\"] \n  49 [size=\"60372480\", alpha=\"0.09\", expect_size=\"24148992\"] \n  50 [size=\"33587200\", alpha=\"0.13\", expect_size=\"13434880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.542.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134287360\", alpha=\"0.17\", expect_size=\"40286208\"] \n  1 -> 17 [size =\"40286208\"]\n  1 -> 18 [size =\"40286208\"]\n  1 -> 19 [size =\"40286208\"]\n  1 -> 20 [size =\"40286208\"]\n  1 -> 21 [size =\"40286208\"]\n  1 -> 23 [size =\"40286208\"]\n  1 -> 29 [size =\"40286208\"]\n  2 [size=\"167406933\", alpha=\"0.13\", expect_size=\"50222080\"] \n  2 -> 17 [size =\"50222080\"]\n  2 -> 23 [size =\"50222080\"]\n  2 -> 24 [size =\"50222080\"]\n  2 -> 28 [size =\"50222080\"]\n  2 -> 29 [size =\"50222080\"]\n  2 -> 32 [size =\"50222080\"]\n  3 [size=\"111185920\", alpha=\"0.18\", expect_size=\"33355776\"] \n  3 -> 20 [size =\"33355776\"]\n  3 -> 21 [size =\"33355776\"]\n  3 -> 23 [size =\"33355776\"]\n  3 -> 25 [size =\"33355776\"]\n  3 -> 28 [size =\"33355776\"]\n  3 -> 29 [size =\"33355776\"]\n  3 -> 32 [size =\"33355776\"]\n  4 [size=\"22797653\", alpha=\"0.10\", expect_size=\"6839296\"] \n  4 -> 17 [size =\"6839296\"]\n  4 -> 21 [size =\"6839296\"]\n  4 -> 22 [size =\"6839296\"]\n  4 -> 23 [size =\"6839296\"]\n  4 -> 28 [size =\"6839296\"]\n  4 -> 29 [size =\"6839296\"]\n  4 -> 31 [size =\"6839296\"]\n  4 -> 32 [size =\"6839296\"]\n  5 [size=\"80800427\", alpha=\"0.07\", expect_size=\"24240128\"] \n  5 -> 20 [size =\"24240128\"]\n  5 -> 21 [size =\"24240128\"]\n  5 -> 23 [size =\"24240128\"]\n  5 -> 23 [size =\"24240128\"]\n  5 -> 27 [size =\"24240128\"]\n  5 -> 28 [size =\"24240128\"]\n  5 -> 29 [size =\"24240128\"]\n  5 -> 30 [size =\"24240128\"]\n  5 -> 32 [size =\"24240128\"]\n  6 [size=\"19749547\", alpha=\"0.05\", expect_size=\"5924864\"] \n  6 -> 17 [size =\"5924864\"]\n  6 -> 20 [size =\"5924864\"]\n  6 -> 21 [size =\"5924864\"]\n  6 -> 23 [size =\"5924864\"]\n  6 -> 29 [size =\"5924864\"]\n  6 -> 32 [size =\"5924864\"]\n  7 [size=\"146411520\", alpha=\"0.02\", expect_size=\"43923456\"] \n  7 -> 18 [size =\"43923456\"]\n  7 -> 21 [size =\"43923456\"]\n  7 -> 22 [size =\"43923456\"]\n  7 -> 23 [size =\"43923456\"]\n  7 -> 24 [size =\"43923456\"]\n  7 -> 25 [size =\"43923456\"]\n  7 -> 26 [size =\"43923456\"]\n  7 -> 29 [size =\"43923456\"]\n  7 -> 32 [size =\"43923456\"]\n  8 [size=\"21773653\", alpha=\"0.14\", expect_size=\"6532096\"] \n  8 -> 19 [size =\"6532096\"]\n  8 -> 20 [size =\"6532096\"]\n  8 -> 22 [size =\"6532096\"]\n  8 -> 27 [size =\"6532096\"]\n  8 -> 28 [size =\"6532096\"]\n  8 -> 29 [size =\"6532096\"]\n  8 -> 32 [size =\"6532096\"]\n  9 [size=\"27781120\", alpha=\"0.17\", expect_size=\"8334336\"] \n  9 -> 18 [size =\"8334336\"]\n  9 -> 20 [size =\"8334336\"]\n  9 -> 28 [size =\"8334336\"]\n  9 -> 29 [size =\"8334336\"]\n  9 -> 30 [size =\"8334336\"]\n  9 -> 31 [size =\"8334336\"]\n  10 [size=\"166724267\", alpha=\"0.02\", expect_size=\"50017280\"] \n  10 -> 19 [size =\"50017280\"]\n  10 -> 23 [size =\"50017280\"]\n  10 -> 28 [size =\"50017280\"]\n  10 -> 31 [size =\"50017280\"]\n  11 [size=\"90050560\", alpha=\"0.14\", expect_size=\"27015168\"] \n  11 -> 17 [size =\"27015168\"]\n  11 -> 18 [size =\"27015168\"]\n  11 -> 28 [size =\"27015168\"]\n  11 -> 29 [size =\"27015168\"]\n  11 -> 31 [size =\"27015168\"]\n  12 [size=\"68751360\", alpha=\"0.08\", expect_size=\"20625408\"] \n  12 -> 20 [size =\"20625408\"]\n  12 -> 21 [size =\"20625408\"]\n  12 -> 23 [size =\"20625408\"]\n  12 -> 27 [size =\"20625408\"]\n  12 -> 30 [size =\"20625408\"]\n  12 -> 32 [size =\"20625408\"]\n  13 [size=\"172209493\", alpha=\"0.01\", expect_size=\"51662848\"] \n  13 -> 20 [size =\"51662848\"]\n  13 -> 21 [size =\"51662848\"]\n  13 -> 23 [size =\"51662848\"]\n  13 -> 28 [size =\"51662848\"]\n  13 -> 29 [size =\"51662848\"]\n  13 -> 31 [size =\"51662848\"]\n  13 -> 32 [size =\"51662848\"]\n  14 [size=\"153702400\", alpha=\"0.12\", expect_size=\"46110720\"] \n  14 -> 17 [size =\"46110720\"]\n  14 -> 20 [size =\"46110720\"]\n  14 -> 21 [size =\"46110720\"]\n  14 -> 22 [size =\"46110720\"]\n  14 -> 24 [size =\"46110720\"]\n  14 -> 28 [size =\"46110720\"]\n  14 -> 29 [size =\"46110720\"]\n  14 -> 31 [size =\"46110720\"]\n  14 -> 32 [size =\"46110720\"]\n  15 [size=\"74895360\", alpha=\"0.06\", expect_size=\"22468608\"] \n  15 -> 18 [size =\"22468608\"]\n  15 -> 20 [size =\"22468608\"]\n  15 -> 21 [size =\"22468608\"]\n  15 -> 23 [size =\"22468608\"]\n  15 -> 25 [size =\"22468608\"]\n  15 -> 29 [size =\"22468608\"]\n  15 -> 29 [size =\"22468608\"]\n  16 [size=\"130058240\", alpha=\"0.17\", expect_size=\"39017472\"] \n  16 -> 20 [size =\"39017472\"]\n  16 -> 21 [size =\"39017472\"]\n  16 -> 21 [size =\"39017472\"]\n  16 -> 23 [size =\"39017472\"]\n  16 -> 26 [size =\"39017472\"]\n  16 -> 29 [size =\"39017472\"]\n  16 -> 30 [size =\"39017472\"]\n  16 -> 31 [size =\"39017472\"]\n  17 [size=\"166775467\", alpha=\"0.05\", expect_size=\"50032640\"] \n  17 -> 35 [size =\"50032640\"]\n  17 -> 40 [size =\"50032640\"]\n  17 -> 42 [size =\"50032640\"]\n  17 -> 43 [size =\"50032640\"]\n  17 -> 46 [size =\"50032640\"]\n  18 [size=\"28043947\", alpha=\"0.07\", expect_size=\"8413184\"] \n  18 -> 34 [size =\"8413184\"]\n  18 -> 35 [size =\"8413184\"]\n  18 -> 36 [size =\"8413184\"]\n  18 -> 39 [size =\"8413184\"]\n  18 -> 40 [size =\"8413184\"]\n  18 -> 41 [size =\"8413184\"]\n  18 -> 45 [size =\"8413184\"]\n  18 -> 46 [size =\"8413184\"]\n  19 [size=\"136871253\", alpha=\"0.02\", expect_size=\"41061376\"] \n  19 -> 35 [size =\"41061376\"]\n  19 -> 39 [size =\"41061376\"]\n  19 -> 40 [size =\"41061376\"]\n  19 -> 41 [size =\"41061376\"]\n  19 -> 42 [size =\"41061376\"]\n  19 -> 43 [size =\"41061376\"]\n  19 -> 46 [size =\"41061376\"]\n  20 [size=\"114404693\", alpha=\"0.17\", expect_size=\"34321408\"] \n  20 -> 35 [size =\"34321408\"]\n  20 -> 37 [size =\"34321408\"]\n  20 -> 39 [size =\"34321408\"]\n  20 -> 40 [size =\"34321408\"]\n  20 -> 41 [size =\"34321408\"]\n  20 -> 42 [size =\"34321408\"]\n  20 -> 43 [size =\"34321408\"]\n  20 -> 44 [size =\"34321408\"]\n  20 -> 46 [size =\"34321408\"]\n  21 [size=\"129655467\", alpha=\"0.07\", expect_size=\"38896640\"] \n  21 -> 33 [size =\"38896640\"]\n  21 -> 35 [size =\"38896640\"]\n  21 -> 37 [size =\"38896640\"]\n  21 -> 40 [size =\"38896640\"]\n  21 -> 41 [size =\"38896640\"]\n  21 -> 44 [size =\"38896640\"]\n  21 -> 46 [size =\"38896640\"]\n  22 [size=\"82182827\", alpha=\"0.16\", expect_size=\"24654848\"] \n  22 -> 33 [size =\"24654848\"]\n  22 -> 34 [size =\"24654848\"]\n  22 -> 35 [size =\"24654848\"]\n  22 -> 37 [size =\"24654848\"]\n  22 -> 40 [size =\"24654848\"]\n  22 -> 41 [size =\"24654848\"]\n  22 -> 44 [size =\"24654848\"]\n  22 -> 45 [size =\"24654848\"]\n  22 -> 46 [size =\"24654848\"]\n  23 [size=\"144749227\", alpha=\"0.17\", expect_size=\"43424768\"] \n  23 -> 33 [size =\"43424768\"]\n  23 -> 35 [size =\"43424768\"]\n  23 -> 37 [size =\"43424768\"]\n  23 -> 40 [size =\"43424768\"]\n  23 -> 41 [size =\"43424768\"]\n  23 -> 43 [size =\"43424768\"]\n  23 -> 44 [size =\"43424768\"]\n  23 -> 45 [size =\"43424768\"]\n  23 -> 46 [size =\"43424768\"]\n  24 [size=\"151197013\", alpha=\"0.18\", expect_size=\"45359104\"] \n  24 -> 39 [size =\"45359104\"]\n  24 -> 40 [size =\"45359104\"]\n  24 -> 41 [size =\"45359104\"]\n  24 -> 44 [size =\"45359104\"]\n  24 -> 45 [size =\"45359104\"]\n  24 -> 46 [size =\"45359104\"]\n  25 [size=\"89470293\", alpha=\"0.08\", expect_size=\"26841088\"] \n  25 -> 34 [size =\"26841088\"]\n  25 -> 36 [size =\"26841088\"]\n  25 -> 37 [size =\"26841088\"]\n  25 -> 38 [size =\"26841088\"]\n  25 -> 39 [size =\"26841088\"]\n  25 -> 40 [size =\"26841088\"]\n  25 -> 41 [size =\"26841088\"]\n  25 -> 44 [size =\"26841088\"]\n  25 -> 45 [size =\"26841088\"]\n  26 [size=\"139868160\", alpha=\"0.18\", expect_size=\"41960448\"] \n  26 -> 35 [size =\"41960448\"]\n  26 -> 39 [size =\"41960448\"]\n  26 -> 41 [size =\"41960448\"]\n  26 -> 42 [size =\"41960448\"]\n  26 -> 43 [size =\"41960448\"]\n  26 -> 44 [size =\"41960448\"]\n  26 -> 45 [size =\"41960448\"]\n  27 [size=\"119842133\", alpha=\"0.04\", expect_size=\"35952640\"] \n  27 -> 34 [size =\"35952640\"]\n  27 -> 35 [size =\"35952640\"]\n  27 -> 37 [size =\"35952640\"]\n  27 -> 38 [size =\"35952640\"]\n  27 -> 39 [size =\"35952640\"]\n  27 -> 42 [size =\"35952640\"]\n  27 -> 43 [size =\"35952640\"]\n  27 -> 45 [size =\"35952640\"]\n  27 -> 46 [size =\"35952640\"]\n  28 [size=\"156433067\", alpha=\"0.11\", expect_size=\"46929920\"] \n  28 -> 34 [size =\"46929920\"]\n  28 -> 35 [size =\"46929920\"]\n  28 -> 38 [size =\"46929920\"]\n  28 -> 39 [size =\"46929920\"]\n  28 -> 39 [size =\"46929920\"]\n  28 -> 42 [size =\"46929920\"]\n  28 -> 45 [size =\"46929920\"]\n  29 [size=\"54306133\", alpha=\"0.19\", expect_size=\"16291840\"] \n  29 -> 34 [size =\"16291840\"]\n  29 -> 39 [size =\"16291840\"]\n  29 -> 42 [size =\"16291840\"]\n  29 -> 43 [size =\"16291840\"]\n  29 -> 44 [size =\"16291840\"]\n  29 -> 45 [size =\"16291840\"]\n  30 [size=\"72949760\", alpha=\"0.06\", expect_size=\"21884928\"] \n  30 -> 38 [size =\"21884928\"]\n  30 -> 39 [size =\"21884928\"]\n  30 -> 40 [size =\"21884928\"]\n  30 -> 41 [size =\"21884928\"]\n  30 -> 42 [size =\"21884928\"]\n  30 -> 46 [size =\"21884928\"]\n  31 [size=\"52077227\", alpha=\"0.02\", expect_size=\"15623168\"] \n  31 -> 34 [size =\"15623168\"]\n  31 -> 36 [size =\"15623168\"]\n  31 -> 38 [size =\"15623168\"]\n  31 -> 42 [size =\"15623168\"]\n  31 -> 45 [size =\"15623168\"]\n  31 -> 46 [size =\"15623168\"]\n  32 [size=\"108503040\", alpha=\"0.05\", expect_size=\"32550912\"] \n  32 -> 34 [size =\"32550912\"]\n  32 -> 35 [size =\"32550912\"]\n  32 -> 39 [size =\"32550912\"]\n  32 -> 40 [size =\"32550912\"]\n  32 -> 41 [size =\"32550912\"]\n  32 -> 43 [size =\"32550912\"]\n  32 -> 45 [size =\"32550912\"]\n  32 -> 46 [size =\"32550912\"]\n  33 [size=\"77585067\", alpha=\"0.07\", expect_size=\"23275520\"] \n  33 -> 47 [size =\"23275520\"]\n  33 -> 48 [size =\"23275520\"]\n  34 [size=\"53032960\", alpha=\"0.07\", expect_size=\"15909888\"] \n  34 -> 47 [size =\"15909888\"]\n  34 -> 48 [size =\"15909888\"]\n  35 [size=\"40168107\", alpha=\"0.14\", expect_size=\"12050432\"] \n  35 -> 47 [size =\"12050432\"]\n  35 -> 48 [size =\"12050432\"]\n  36 [size=\"102314667\", alpha=\"0.16\", expect_size=\"30694400\"] \n  36 -> 47 [size =\"30694400\"]\n  36 -> 48 [size =\"30694400\"]\n  37 [size=\"84462933\", alpha=\"0.16\", expect_size=\"25338880\"] \n  37 -> 47 [size =\"25338880\"]\n  37 -> 48 [size =\"25338880\"]\n  38 [size=\"115551573\", alpha=\"0.18\", expect_size=\"34665472\"] \n  38 -> 48 [size =\"34665472\"]\n  38 -> 48 [size =\"34665472\"]\n  39 [size=\"42591573\", alpha=\"0.15\", expect_size=\"12777472\"] \n  39 -> 47 [size =\"12777472\"]\n  39 -> 48 [size =\"12777472\"]\n  40 [size=\"33177600\", alpha=\"0.04\", expect_size=\"9953280\"] \n  40 -> 47 [size =\"9953280\"]\n  41 [size=\"79274667\", alpha=\"0.08\", expect_size=\"23782400\"] \n  41 -> 47 [size =\"23782400\"]\n  42 [size=\"96170667\", alpha=\"0.19\", expect_size=\"28851200\"] \n  43 [size=\"135140693\", alpha=\"0.07\", expect_size=\"40542208\"] \n  43 -> 47 [size =\"40542208\"]\n  44 [size=\"36348587\", alpha=\"0.12\", expect_size=\"10904576\"] \n  44 -> 47 [size =\"10904576\"]\n  44 -> 48 [size =\"10904576\"]\n  45 [size=\"93306880\", alpha=\"0.06\", expect_size=\"27992064\"] \n  45 -> 47 [size =\"27992064\"]\n  46 [size=\"48865280\", alpha=\"0.16\", expect_size=\"14659584\"] \n  46 -> 47 [size =\"14659584\"]\n  46 -> 49 [size =\"14659584\"]\n  46 -> 50 [size =\"14659584\"]\n  47 [size=\"172888747\", alpha=\"0.19\", expect_size=\"51866624\"] \n  48 [size=\"142824107\", alpha=\"0.19\", expect_size=\"42847232\"] \n  49 [size=\"126525440\", alpha=\"0.04\", expect_size=\"37957632\"] \n  50 [size=\"86104747\", alpha=\"0.16\", expect_size=\"25831424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.543.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54858240\", alpha=\"0.12\", expect_size=\"21943296\"] \n  1 -> 3 [size =\"21943296\"]\n  1 -> 4 [size =\"21943296\"]\n  1 -> 5 [size =\"21943296\"]\n  2 [size=\"23877120\", alpha=\"0.01\", expect_size=\"9550848\"] \n  2 -> 3 [size =\"9550848\"]\n  2 -> 5 [size =\"9550848\"]\n  3 [size=\"83824640\", alpha=\"0.08\", expect_size=\"33529856\"] \n  4 [size=\"84899840\", alpha=\"0.04\", expect_size=\"33959936\"] \n  4 -> 7 [size =\"33959936\"]\n  5 [size=\"125985280\", alpha=\"0.07\", expect_size=\"50394112\"] \n  5 -> 6 [size =\"50394112\"]\n  5 -> 7 [size =\"50394112\"]\n  6 [size=\"72501760\", alpha=\"0.18\", expect_size=\"29000704\"] \n  6 -> 8 [size =\"29000704\"]\n  7 [size=\"50675200\", alpha=\"0.00\", expect_size=\"20270080\"] \n  7 -> 8 [size =\"20270080\"]\n  7 -> 9 [size =\"20270080\"]\n  8 [size=\"106375680\", alpha=\"0.03\", expect_size=\"42550272\"] \n  8 -> 10 [size =\"42550272\"]\n  8 -> 11 [size =\"42550272\"]\n  9 [size=\"112965120\", alpha=\"0.18\", expect_size=\"45186048\"] \n  10 [size=\"24327680\", alpha=\"0.05\", expect_size=\"9731072\"] \n  10 -> 14 [size =\"9731072\"]\n  11 [size=\"107555840\", alpha=\"0.10\", expect_size=\"43022336\"] \n  11 -> 12 [size =\"43022336\"]\n  11 -> 13 [size =\"43022336\"]\n  12 [size=\"61831680\", alpha=\"0.00\", expect_size=\"24732672\"] \n  12 -> 15 [size =\"24732672\"]\n  13 [size=\"67694080\", alpha=\"0.15\", expect_size=\"27077632\"] \n  13 -> 15 [size =\"27077632\"]\n  14 [size=\"116067840\", alpha=\"0.13\", expect_size=\"46427136\"] \n  14 -> 16 [size =\"46427136\"]\n  15 [size=\"24061440\", alpha=\"0.14\", expect_size=\"9624576\"] \n  15 -> 17 [size =\"9624576\"]\n  15 -> 18 [size =\"9624576\"]\n  15 -> 19 [size =\"9624576\"]\n  16 [size=\"63500800\", alpha=\"0.16\", expect_size=\"25400320\"] \n  16 -> 17 [size =\"25400320\"]\n  16 -> 18 [size =\"25400320\"]\n  17 [size=\"49579520\", alpha=\"0.15\", expect_size=\"19831808\"] \n  17 -> 21 [size =\"19831808\"]\n  18 [size=\"49822720\", alpha=\"0.08\", expect_size=\"19929088\"] \n  18 -> 20 [size =\"19929088\"]\n  18 -> 21 [size =\"19929088\"]\n  18 -> 22 [size =\"19929088\"]\n  19 [size=\"67043840\", alpha=\"0.09\", expect_size=\"26817536\"] \n  19 -> 20 [size =\"26817536\"]\n  20 [size=\"57584640\", alpha=\"0.06\", expect_size=\"23033856\"] \n  20 -> 24 [size =\"23033856\"]\n  20 -> 25 [size =\"23033856\"]\n  21 [size=\"89175040\", alpha=\"0.09\", expect_size=\"35670016\"] \n  21 -> 23 [size =\"35670016\"]\n  21 -> 24 [size =\"35670016\"]\n  21 -> 25 [size =\"35670016\"]\n  22 [size=\"30801920\", alpha=\"0.15\", expect_size=\"12320768\"] \n  22 -> 24 [size =\"12320768\"]\n  22 -> 25 [size =\"12320768\"]\n  23 [size=\"31475200\", alpha=\"0.12\", expect_size=\"12590080\"] \n  23 -> 27 [size =\"12590080\"]\n  24 [size=\"122782720\", alpha=\"0.01\", expect_size=\"49113088\"] \n  24 -> 26 [size =\"49113088\"]\n  24 -> 27 [size =\"49113088\"]\n  25 [size=\"81036800\", alpha=\"0.10\", expect_size=\"32414720\"] \n  25 -> 26 [size =\"32414720\"]\n  25 -> 27 [size =\"32414720\"]\n  26 [size=\"42734080\", alpha=\"0.09\", expect_size=\"17093632\"] \n  26 -> 29 [size =\"17093632\"]\n  27 [size=\"18708480\", alpha=\"0.14\", expect_size=\"7483392\"] \n  27 -> 28 [size =\"7483392\"]\n  28 [size=\"107251200\", alpha=\"0.15\", expect_size=\"42900480\"] \n  28 -> 30 [size =\"42900480\"]\n  28 -> 31 [size =\"42900480\"]\n  29 [size=\"36129280\", alpha=\"0.12\", expect_size=\"14451712\"] \n  29 -> 32 [size =\"14451712\"]\n  30 [size=\"91619840\", alpha=\"0.12\", expect_size=\"36647936\"] \n  30 -> 33 [size =\"36647936\"]\n  30 -> 34 [size =\"36647936\"]\n  31 [size=\"125954560\", alpha=\"0.08\", expect_size=\"50381824\"] \n  31 -> 34 [size =\"50381824\"]\n  32 [size=\"62917120\", alpha=\"0.12\", expect_size=\"25166848\"] \n  32 -> 33 [size =\"25166848\"]\n  33 [size=\"31247360\", alpha=\"0.05\", expect_size=\"12498944\"] \n  34 [size=\"101660160\", alpha=\"0.16\", expect_size=\"40664064\"] \n  34 -> 35 [size =\"40664064\"]\n  34 -> 36 [size =\"40664064\"]\n  35 [size=\"110021120\", alpha=\"0.08\", expect_size=\"44008448\"] \n  35 -> 37 [size =\"44008448\"]\n  35 -> 38 [size =\"44008448\"]\n  36 [size=\"51246080\", alpha=\"0.09\", expect_size=\"20498432\"] \n  36 -> 37 [size =\"20498432\"]\n  37 [size=\"102694400\", alpha=\"0.17\", expect_size=\"41077760\"] \n  37 -> 40 [size =\"41077760\"]\n  38 [size=\"66004480\", alpha=\"0.10\", expect_size=\"26401792\"] \n  38 -> 39 [size =\"26401792\"]\n  38 -> 40 [size =\"26401792\"]\n  38 -> 41 [size =\"26401792\"]\n  39 [size=\"34447360\", alpha=\"0.13\", expect_size=\"13778944\"] \n  39 -> 43 [size =\"13778944\"]\n  40 [size=\"107883520\", alpha=\"0.03\", expect_size=\"43153408\"] \n  40 -> 42 [size =\"43153408\"]\n  41 [size=\"61601280\", alpha=\"0.06\", expect_size=\"24640512\"] \n  41 -> 42 [size =\"24640512\"]\n  42 [size=\"108016640\", alpha=\"0.12\", expect_size=\"43206656\"] \n  42 -> 44 [size =\"43206656\"]\n  42 -> 45 [size =\"43206656\"]\n  43 [size=\"59924480\", alpha=\"0.01\", expect_size=\"23969792\"] \n  43 -> 44 [size =\"23969792\"]\n  43 -> 45 [size =\"23969792\"]\n  43 -> 46 [size =\"23969792\"]\n  44 [size=\"89876480\", alpha=\"0.09\", expect_size=\"35950592\"] \n  44 -> 47 [size =\"35950592\"]\n  45 [size=\"64908800\", alpha=\"0.08\", expect_size=\"25963520\"] \n  45 -> 47 [size =\"25963520\"]\n  46 [size=\"113940480\", alpha=\"0.13\", expect_size=\"45576192\"] \n  46 -> 48 [size =\"45576192\"]\n  47 [size=\"51432960\", alpha=\"0.18\", expect_size=\"20573184\"] \n  47 -> 50 [size =\"20573184\"]\n  48 [size=\"31833600\", alpha=\"0.19\", expect_size=\"12733440\"] \n  48 -> 49 [size =\"12733440\"]\n  49 [size=\"91850240\", alpha=\"0.04\", expect_size=\"36740096\"] \n  50 [size=\"49497600\", alpha=\"0.03\", expect_size=\"19799040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.544.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100921344\", alpha=\"0.17\", expect_size=\"50460672\"] \n  1 -> 3 [size =\"50460672\"]\n  2 [size=\"14813184\", alpha=\"0.09\", expect_size=\"7406592\"] \n  2 -> 3 [size =\"7406592\"]\n  2 -> 4 [size =\"7406592\"]\n  3 [size=\"56279040\", alpha=\"0.01\", expect_size=\"28139520\"] \n  3 -> 6 [size =\"28139520\"]\n  3 -> 7 [size =\"28139520\"]\n  4 [size=\"89270272\", alpha=\"0.04\", expect_size=\"44635136\"] \n  4 -> 5 [size =\"44635136\"]\n  4 -> 6 [size =\"44635136\"]\n  4 -> 7 [size =\"44635136\"]\n  5 [size=\"84836352\", alpha=\"0.03\", expect_size=\"42418176\"] \n  6 [size=\"36493312\", alpha=\"0.06\", expect_size=\"18246656\"] \n  6 -> 8 [size =\"18246656\"]\n  6 -> 9 [size =\"18246656\"]\n  7 [size=\"29472768\", alpha=\"0.19\", expect_size=\"14736384\"] \n  7 -> 8 [size =\"14736384\"]\n  7 -> 10 [size =\"14736384\"]\n  8 [size=\"57389056\", alpha=\"0.04\", expect_size=\"28694528\"] \n  8 -> 12 [size =\"28694528\"]\n  8 -> 13 [size =\"28694528\"]\n  9 [size=\"13901824\", alpha=\"0.07\", expect_size=\"6950912\"] \n  9 -> 12 [size =\"6950912\"]\n  9 -> 13 [size =\"6950912\"]\n  10 [size=\"40103936\", alpha=\"0.10\", expect_size=\"20051968\"] \n  10 -> 11 [size =\"20051968\"]\n  10 -> 13 [size =\"20051968\"]\n  11 [size=\"73246720\", alpha=\"0.03\", expect_size=\"36623360\"] \n  11 -> 14 [size =\"36623360\"]\n  11 -> 15 [size =\"36623360\"]\n  12 [size=\"59668480\", alpha=\"0.02\", expect_size=\"29834240\"] \n  12 -> 14 [size =\"29834240\"]\n  13 [size=\"104155136\", alpha=\"0.01\", expect_size=\"52077568\"] \n  14 [size=\"13617152\", alpha=\"0.06\", expect_size=\"6808576\"] \n  14 -> 17 [size =\"6808576\"]\n  14 -> 18 [size =\"6808576\"]\n  15 [size=\"30375936\", alpha=\"0.08\", expect_size=\"15187968\"] \n  15 -> 16 [size =\"15187968\"]\n  15 -> 17 [size =\"15187968\"]\n  15 -> 18 [size =\"15187968\"]\n  16 [size=\"45553664\", alpha=\"0.05\", expect_size=\"22776832\"] \n  16 -> 19 [size =\"22776832\"]\n  16 -> 20 [size =\"22776832\"]\n  17 [size=\"73814016\", alpha=\"0.03\", expect_size=\"36907008\"] \n  18 [size=\"68093952\", alpha=\"0.00\", expect_size=\"34046976\"] \n  18 -> 19 [size =\"34046976\"]\n  19 [size=\"85813248\", alpha=\"0.05\", expect_size=\"42906624\"] \n  19 -> 21 [size =\"42906624\"]\n  19 -> 22 [size =\"42906624\"]\n  19 -> 23 [size =\"42906624\"]\n  20 [size=\"22167552\", alpha=\"0.02\", expect_size=\"11083776\"] \n  20 -> 21 [size =\"11083776\"]\n  20 -> 22 [size =\"11083776\"]\n  20 -> 23 [size =\"11083776\"]\n  21 [size=\"69142528\", alpha=\"0.18\", expect_size=\"34571264\"] \n  21 -> 25 [size =\"34571264\"]\n  22 [size=\"82448384\", alpha=\"0.15\", expect_size=\"41224192\"] \n  22 -> 24 [size =\"41224192\"]\n  23 [size=\"91867136\", alpha=\"0.02\", expect_size=\"45933568\"] \n  23 -> 25 [size =\"45933568\"]\n  24 [size=\"96784384\", alpha=\"0.05\", expect_size=\"48392192\"] \n  24 -> 26 [size =\"48392192\"]\n  24 -> 27 [size =\"48392192\"]\n  24 -> 28 [size =\"48392192\"]\n  25 [size=\"32980992\", alpha=\"0.04\", expect_size=\"16490496\"] \n  25 -> 26 [size =\"16490496\"]\n  25 -> 27 [size =\"16490496\"]\n  26 [size=\"69939200\", alpha=\"0.09\", expect_size=\"34969600\"] \n  26 -> 29 [size =\"34969600\"]\n  27 [size=\"95563776\", alpha=\"0.17\", expect_size=\"47781888\"] \n  27 -> 30 [size =\"47781888\"]\n  28 [size=\"15525888\", alpha=\"0.16\", expect_size=\"7762944\"] \n  28 -> 29 [size =\"7762944\"]\n  28 -> 30 [size =\"7762944\"]\n  29 [size=\"17836032\", alpha=\"0.15\", expect_size=\"8918016\"] \n  29 -> 31 [size =\"8918016\"]\n  29 -> 32 [size =\"8918016\"]\n  29 -> 33 [size =\"8918016\"]\n  30 [size=\"40495104\", alpha=\"0.01\", expect_size=\"20247552\"] \n  30 -> 32 [size =\"20247552\"]\n  30 -> 33 [size =\"20247552\"]\n  31 [size=\"48601088\", alpha=\"0.20\", expect_size=\"24300544\"] \n  31 -> 35 [size =\"24300544\"]\n  32 [size=\"38221824\", alpha=\"0.09\", expect_size=\"19110912\"] \n  33 [size=\"13686784\", alpha=\"0.19\", expect_size=\"6843392\"] \n  33 -> 34 [size =\"6843392\"]\n  33 -> 35 [size =\"6843392\"]\n  34 [size=\"20787200\", alpha=\"0.08\", expect_size=\"10393600\"] \n  34 -> 36 [size =\"10393600\"]\n  34 -> 38 [size =\"10393600\"]\n  35 [size=\"43941888\", alpha=\"0.03\", expect_size=\"21970944\"] \n  35 -> 37 [size =\"21970944\"]\n  36 [size=\"63127552\", alpha=\"0.04\", expect_size=\"31563776\"] \n  36 -> 39 [size =\"31563776\"]\n  37 [size=\"104351744\", alpha=\"0.19\", expect_size=\"52175872\"] \n  37 -> 40 [size =\"52175872\"]\n  38 [size=\"92231680\", alpha=\"0.06\", expect_size=\"46115840\"] \n  38 -> 39 [size =\"46115840\"]\n  38 -> 40 [size =\"46115840\"]\n  39 [size=\"73670656\", alpha=\"0.09\", expect_size=\"36835328\"] \n  39 -> 42 [size =\"36835328\"]\n  40 [size=\"52084736\", alpha=\"0.15\", expect_size=\"26042368\"] \n  40 -> 41 [size =\"26042368\"]\n  40 -> 42 [size =\"26042368\"]\n  41 [size=\"57096192\", alpha=\"0.13\", expect_size=\"28548096\"] \n  41 -> 43 [size =\"28548096\"]\n  41 -> 44 [size =\"28548096\"]\n  42 [size=\"57092096\", alpha=\"0.06\", expect_size=\"28546048\"] \n  42 -> 43 [size =\"28546048\"]\n  42 -> 44 [size =\"28546048\"]\n  43 [size=\"101257216\", alpha=\"0.17\", expect_size=\"50628608\"] \n  43 -> 45 [size =\"50628608\"]\n  43 -> 46 [size =\"50628608\"]\n  43 -> 47 [size =\"50628608\"]\n  44 [size=\"94519296\", alpha=\"0.06\", expect_size=\"47259648\"] \n  44 -> 46 [size =\"47259648\"]\n  45 [size=\"40009728\", alpha=\"0.19\", expect_size=\"20004864\"] \n  46 [size=\"51990528\", alpha=\"0.05\", expect_size=\"25995264\"] \n  46 -> 48 [size =\"25995264\"]\n  46 -> 49 [size =\"25995264\"]\n  47 [size=\"71159808\", alpha=\"0.09\", expect_size=\"35579904\"] \n  47 -> 49 [size =\"35579904\"]\n  48 [size=\"66471936\", alpha=\"0.15\", expect_size=\"33235968\"] \n  48 -> 50 [size =\"33235968\"]\n  49 [size=\"95539200\", alpha=\"0.02\", expect_size=\"47769600\"] \n  49 -> 50 [size =\"47769600\"]\n  50 [size=\"44947456\", alpha=\"0.15\", expect_size=\"22473728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.545.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45776213\", alpha=\"0.19\", expect_size=\"13732864\"] \n  1 -> 2 [size =\"13732864\"]\n  2 [size=\"130993493\", alpha=\"0.09\", expect_size=\"39298048\"] \n  2 -> 3 [size =\"39298048\"]\n  3 [size=\"38113280\", alpha=\"0.06\", expect_size=\"11433984\"] \n  3 -> 4 [size =\"11433984\"]\n  4 [size=\"58299733\", alpha=\"0.17\", expect_size=\"17489920\"] \n  4 -> 5 [size =\"17489920\"]\n  5 [size=\"162645333\", alpha=\"0.10\", expect_size=\"48793600\"] \n  5 -> 6 [size =\"48793600\"]\n  6 [size=\"99467947\", alpha=\"0.01\", expect_size=\"29840384\"] \n  6 -> 7 [size =\"29840384\"]\n  7 [size=\"120094720\", alpha=\"0.02\", expect_size=\"36028416\"] \n  7 -> 8 [size =\"36028416\"]\n  8 [size=\"88548693\", alpha=\"0.16\", expect_size=\"26564608\"] \n  8 -> 9 [size =\"26564608\"]\n  9 [size=\"24483840\", alpha=\"0.11\", expect_size=\"7345152\"] \n  9 -> 10 [size =\"7345152\"]\n  10 [size=\"80025600\", alpha=\"0.11\", expect_size=\"24007680\"] \n  10 -> 11 [size =\"24007680\"]\n  11 [size=\"59238400\", alpha=\"0.02\", expect_size=\"17771520\"] \n  11 -> 12 [size =\"17771520\"]\n  12 [size=\"48612693\", alpha=\"0.14\", expect_size=\"14583808\"] \n  12 -> 13 [size =\"14583808\"]\n  13 [size=\"117032960\", alpha=\"0.03\", expect_size=\"35109888\"] \n  13 -> 14 [size =\"35109888\"]\n  14 [size=\"165519360\", alpha=\"0.16\", expect_size=\"49655808\"] \n  14 -> 15 [size =\"49655808\"]\n  15 [size=\"145309013\", alpha=\"0.12\", expect_size=\"43592704\"] \n  15 -> 16 [size =\"43592704\"]\n  16 [size=\"65402880\", alpha=\"0.16\", expect_size=\"19620864\"] \n  16 -> 17 [size =\"19620864\"]\n  17 [size=\"71775573\", alpha=\"0.15\", expect_size=\"21532672\"] \n  17 -> 18 [size =\"21532672\"]\n  18 [size=\"91252053\", alpha=\"0.10\", expect_size=\"27375616\"] \n  18 -> 19 [size =\"27375616\"]\n  19 [size=\"63638187\", alpha=\"0.10\", expect_size=\"19091456\"] \n  19 -> 20 [size =\"19091456\"]\n  20 [size=\"149265067\", alpha=\"0.13\", expect_size=\"44779520\"] \n  20 -> 21 [size =\"44779520\"]\n  21 [size=\"81104213\", alpha=\"0.20\", expect_size=\"24331264\"] \n  21 -> 22 [size =\"24331264\"]\n  22 [size=\"93651627\", alpha=\"0.01\", expect_size=\"28095488\"] \n  22 -> 23 [size =\"28095488\"]\n  23 [size=\"44086613\", alpha=\"0.05\", expect_size=\"13225984\"] \n  23 -> 24 [size =\"13225984\"]\n  24 [size=\"71277227\", alpha=\"0.14\", expect_size=\"21383168\"] \n  24 -> 25 [size =\"21383168\"]\n  25 [size=\"42823680\", alpha=\"0.01\", expect_size=\"12847104\"] \n  25 -> 26 [size =\"12847104\"]\n  26 [size=\"134720853\", alpha=\"0.19\", expect_size=\"40416256\"] \n  26 -> 27 [size =\"40416256\"]\n  27 [size=\"105898667\", alpha=\"0.10\", expect_size=\"31769600\"] \n  27 -> 28 [size =\"31769600\"]\n  28 [size=\"65286827\", alpha=\"0.10\", expect_size=\"19586048\"] \n  28 -> 29 [size =\"19586048\"]\n  29 [size=\"146176000\", alpha=\"0.11\", expect_size=\"43852800\"] \n  29 -> 30 [size =\"43852800\"]\n  30 [size=\"64604160\", alpha=\"0.19\", expect_size=\"19381248\"] \n  30 -> 31 [size =\"19381248\"]\n  31 [size=\"165072213\", alpha=\"0.14\", expect_size=\"49521664\"] \n  31 -> 32 [size =\"49521664\"]\n  32 [size=\"161314133\", alpha=\"0.12\", expect_size=\"48394240\"] \n  32 -> 33 [size =\"48394240\"]\n  33 [size=\"166850560\", alpha=\"0.02\", expect_size=\"50055168\"] \n  33 -> 34 [size =\"50055168\"]\n  34 [size=\"45025280\", alpha=\"0.12\", expect_size=\"13507584\"] \n  34 -> 35 [size =\"13507584\"]\n  35 [size=\"151244800\", alpha=\"0.18\", expect_size=\"45373440\"] \n  35 -> 36 [size =\"45373440\"]\n  36 [size=\"158815573\", alpha=\"0.10\", expect_size=\"47644672\"] \n  36 -> 37 [size =\"47644672\"]\n  37 [size=\"149736107\", alpha=\"0.09\", expect_size=\"44920832\"] \n  37 -> 38 [size =\"44920832\"]\n  38 [size=\"69331627\", alpha=\"0.17\", expect_size=\"20799488\"] \n  38 -> 39 [size =\"20799488\"]\n  39 [size=\"145967787\", alpha=\"0.11\", expect_size=\"43790336\"] \n  39 -> 40 [size =\"43790336\"]\n  40 [size=\"72079360\", alpha=\"0.02\", expect_size=\"21623808\"] \n  40 -> 41 [size =\"21623808\"]\n  41 [size=\"67505493\", alpha=\"0.01\", expect_size=\"20251648\"] \n  41 -> 42 [size =\"20251648\"]\n  42 [size=\"174008320\", alpha=\"0.09\", expect_size=\"52202496\"] \n  42 -> 43 [size =\"52202496\"]\n  43 [size=\"108154880\", alpha=\"0.01\", expect_size=\"32446464\"] \n  43 -> 44 [size =\"32446464\"]\n  44 [size=\"126791680\", alpha=\"0.20\", expect_size=\"38037504\"] \n  44 -> 45 [size =\"38037504\"]\n  45 [size=\"63389013\", alpha=\"0.02\", expect_size=\"19016704\"] \n  45 -> 46 [size =\"19016704\"]\n  46 [size=\"45783040\", alpha=\"0.19\", expect_size=\"13734912\"] \n  46 -> 47 [size =\"13734912\"]\n  47 [size=\"121900373\", alpha=\"0.07\", expect_size=\"36570112\"] \n  47 -> 48 [size =\"36570112\"]\n  48 [size=\"31467520\", alpha=\"0.01\", expect_size=\"9440256\"] \n  48 -> 49 [size =\"9440256\"]\n  49 [size=\"162836480\", alpha=\"0.12\", expect_size=\"48850944\"] \n  49 -> 50 [size =\"48850944\"]\n  50 [size=\"90309973\", alpha=\"0.09\", expect_size=\"27092992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.546.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27246080\", alpha=\"0.09\", expect_size=\"10898432\"] \n  1 -> 4 [size =\"10898432\"]\n  2 [size=\"109319680\", alpha=\"0.07\", expect_size=\"43727872\"] \n  2 -> 4 [size =\"43727872\"]\n  2 -> 5 [size =\"43727872\"]\n  2 -> 6 [size =\"43727872\"]\n  3 [size=\"105164800\", alpha=\"0.16\", expect_size=\"42065920\"] \n  3 -> 5 [size =\"42065920\"]\n  4 [size=\"43765760\", alpha=\"0.11\", expect_size=\"17506304\"] \n  4 -> 7 [size =\"17506304\"]\n  5 [size=\"18055680\", alpha=\"0.12\", expect_size=\"7222272\"] \n  5 -> 8 [size =\"7222272\"]\n  5 -> 9 [size =\"7222272\"]\n  6 [size=\"42923520\", alpha=\"0.17\", expect_size=\"17169408\"] \n  7 [size=\"79326720\", alpha=\"0.14\", expect_size=\"31730688\"] \n  7 -> 10 [size =\"31730688\"]\n  7 -> 11 [size =\"31730688\"]\n  8 [size=\"98885120\", alpha=\"0.15\", expect_size=\"39554048\"] \n  9 [size=\"91955200\", alpha=\"0.09\", expect_size=\"36782080\"] \n  9 -> 11 [size =\"36782080\"]\n  10 [size=\"73971200\", alpha=\"0.17\", expect_size=\"29588480\"] \n  10 -> 12 [size =\"29588480\"]\n  10 -> 13 [size =\"29588480\"]\n  11 [size=\"50362880\", alpha=\"0.20\", expect_size=\"20145152\"] \n  12 [size=\"101245440\", alpha=\"0.08\", expect_size=\"40498176\"] \n  12 -> 14 [size =\"40498176\"]\n  12 -> 15 [size =\"40498176\"]\n  13 [size=\"24430080\", alpha=\"0.13\", expect_size=\"9772032\"] \n  13 -> 16 [size =\"9772032\"]\n  14 [size=\"117660160\", alpha=\"0.19\", expect_size=\"47064064\"] \n  14 -> 18 [size =\"47064064\"]\n  15 [size=\"63098880\", alpha=\"0.17\", expect_size=\"25239552\"] \n  16 [size=\"16737280\", alpha=\"0.13\", expect_size=\"6694912\"] \n  16 -> 17 [size =\"6694912\"]\n  17 [size=\"117601280\", alpha=\"0.11\", expect_size=\"47040512\"] \n  17 -> 19 [size =\"47040512\"]\n  17 -> 20 [size =\"47040512\"]\n  18 [size=\"80384000\", alpha=\"0.08\", expect_size=\"32153600\"] \n  19 [size=\"53317120\", alpha=\"0.15\", expect_size=\"21326848\"] \n  19 -> 21 [size =\"21326848\"]\n  19 -> 22 [size =\"21326848\"]\n  20 [size=\"105034240\", alpha=\"0.09\", expect_size=\"42013696\"] \n  21 [size=\"84441600\", alpha=\"0.04\", expect_size=\"33776640\"] \n  21 -> 23 [size =\"33776640\"]\n  22 [size=\"82268160\", alpha=\"0.16\", expect_size=\"32907264\"] \n  22 -> 24 [size =\"32907264\"]\n  22 -> 25 [size =\"32907264\"]\n  23 [size=\"14215680\", alpha=\"0.04\", expect_size=\"5686272\"] \n  23 -> 26 [size =\"5686272\"]\n  24 [size=\"92446720\", alpha=\"0.17\", expect_size=\"36978688\"] \n  24 -> 27 [size =\"36978688\"]\n  25 [size=\"84121600\", alpha=\"0.10\", expect_size=\"33648640\"] \n  26 [size=\"66723840\", alpha=\"0.09\", expect_size=\"26689536\"] \n  27 [size=\"24074240\", alpha=\"0.19\", expect_size=\"9629696\"] \n  27 -> 28 [size =\"9629696\"]\n  27 -> 29 [size =\"9629696\"]\n  27 -> 30 [size =\"9629696\"]\n  28 [size=\"90383360\", alpha=\"0.03\", expect_size=\"36153344\"] \n  28 -> 31 [size =\"36153344\"]\n  29 [size=\"21649920\", alpha=\"0.01\", expect_size=\"8659968\"] \n  29 -> 31 [size =\"8659968\"]\n  29 -> 32 [size =\"8659968\"]\n  30 [size=\"111751680\", alpha=\"0.09\", expect_size=\"44700672\"] \n  31 [size=\"44247040\", alpha=\"0.04\", expect_size=\"17698816\"] \n  31 -> 33 [size =\"17698816\"]\n  32 [size=\"69207040\", alpha=\"0.13\", expect_size=\"27682816\"] \n  32 -> 34 [size =\"27682816\"]\n  32 -> 35 [size =\"27682816\"]\n  33 [size=\"46914560\", alpha=\"0.04\", expect_size=\"18765824\"] \n  33 -> 36 [size =\"18765824\"]\n  34 [size=\"69429760\", alpha=\"0.14\", expect_size=\"27771904\"] \n  34 -> 36 [size =\"27771904\"]\n  34 -> 37 [size =\"27771904\"]\n  35 [size=\"49448960\", alpha=\"0.11\", expect_size=\"19779584\"] \n  35 -> 37 [size =\"19779584\"]\n  36 [size=\"109882880\", alpha=\"0.09\", expect_size=\"43953152\"] \n  36 -> 38 [size =\"43953152\"]\n  36 -> 39 [size =\"43953152\"]\n  37 [size=\"44625920\", alpha=\"0.05\", expect_size=\"17850368\"] \n  37 -> 40 [size =\"17850368\"]\n  38 [size=\"37859840\", alpha=\"0.12\", expect_size=\"15143936\"] \n  38 -> 41 [size =\"15143936\"]\n  38 -> 42 [size =\"15143936\"]\n  39 [size=\"57400320\", alpha=\"0.06\", expect_size=\"22960128\"] \n  39 -> 41 [size =\"22960128\"]\n  39 -> 43 [size =\"22960128\"]\n  40 [size=\"64130560\", alpha=\"0.16\", expect_size=\"25652224\"] \n  41 [size=\"118914560\", alpha=\"0.18\", expect_size=\"47565824\"] \n  42 [size=\"23083520\", alpha=\"0.11\", expect_size=\"9233408\"] \n  42 -> 44 [size =\"9233408\"]\n  42 -> 45 [size =\"9233408\"]\n  43 [size=\"100705280\", alpha=\"0.05\", expect_size=\"40282112\"] \n  43 -> 44 [size =\"40282112\"]\n  44 [size=\"127170560\", alpha=\"0.12\", expect_size=\"50868224\"] \n  44 -> 46 [size =\"50868224\"]\n  44 -> 47 [size =\"50868224\"]\n  45 [size=\"89072640\", alpha=\"0.11\", expect_size=\"35629056\"] \n  46 [size=\"36400640\", alpha=\"0.20\", expect_size=\"14560256\"] \n  46 -> 48 [size =\"14560256\"]\n  46 -> 49 [size =\"14560256\"]\n  47 [size=\"90754560\", alpha=\"0.10\", expect_size=\"36301824\"] \n  47 -> 50 [size =\"36301824\"]\n  48 [size=\"120701440\", alpha=\"0.13\", expect_size=\"48280576\"] \n  49 [size=\"75553280\", alpha=\"0.18\", expect_size=\"30221312\"] \n  50 [size=\"113484800\", alpha=\"0.19\", expect_size=\"45393920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.547.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65718272\", alpha=\"0.10\", expect_size=\"32859136\"] \n  1 -> 17 [size =\"32859136\"]\n  1 -> 22 [size =\"32859136\"]\n  1 -> 24 [size =\"32859136\"]\n  1 -> 25 [size =\"32859136\"]\n  2 [size=\"48836608\", alpha=\"0.00\", expect_size=\"24418304\"] \n  2 -> 29 [size =\"24418304\"]\n  3 [size=\"75988992\", alpha=\"0.18\", expect_size=\"37994496\"] \n  3 -> 19 [size =\"37994496\"]\n  3 -> 22 [size =\"37994496\"]\n  4 [size=\"62967808\", alpha=\"0.02\", expect_size=\"31483904\"] \n  4 -> 17 [size =\"31483904\"]\n  4 -> 20 [size =\"31483904\"]\n  5 [size=\"78850048\", alpha=\"0.06\", expect_size=\"39425024\"] \n  6 [size=\"70887424\", alpha=\"0.16\", expect_size=\"35443712\"] \n  6 -> 17 [size =\"35443712\"]\n  6 -> 21 [size =\"35443712\"]\n  6 -> 23 [size =\"35443712\"]\n  7 [size=\"44161024\", alpha=\"0.08\", expect_size=\"22080512\"] \n  7 -> 22 [size =\"22080512\"]\n  8 [size=\"41758720\", alpha=\"0.13\", expect_size=\"20879360\"] \n  8 -> 17 [size =\"20879360\"]\n  8 -> 18 [size =\"20879360\"]\n  8 -> 19 [size =\"20879360\"]\n  8 -> 25 [size =\"20879360\"]\n  8 -> 29 [size =\"20879360\"]\n  9 [size=\"58060800\", alpha=\"0.01\", expect_size=\"29030400\"] \n  9 -> 18 [size =\"29030400\"]\n  9 -> 18 [size =\"29030400\"]\n  9 -> 21 [size =\"29030400\"]\n  9 -> 29 [size =\"29030400\"]\n  9 -> 30 [size =\"29030400\"]\n  10 [size=\"55191552\", alpha=\"0.16\", expect_size=\"27595776\"] \n  10 -> 18 [size =\"27595776\"]\n  10 -> 27 [size =\"27595776\"]\n  10 -> 29 [size =\"27595776\"]\n  10 -> 30 [size =\"27595776\"]\n  10 -> 31 [size =\"27595776\"]\n  11 [size=\"75618304\", alpha=\"0.02\", expect_size=\"37809152\"] \n  11 -> 18 [size =\"37809152\"]\n  11 -> 22 [size =\"37809152\"]\n  11 -> 29 [size =\"37809152\"]\n  11 -> 30 [size =\"37809152\"]\n  11 -> 31 [size =\"37809152\"]\n  12 [size=\"26363904\", alpha=\"0.07\", expect_size=\"13181952\"] \n  12 -> 18 [size =\"13181952\"]\n  12 -> 23 [size =\"13181952\"]\n  12 -> 25 [size =\"13181952\"]\n  12 -> 30 [size =\"13181952\"]\n  12 -> 31 [size =\"13181952\"]\n  13 [size=\"27148288\", alpha=\"0.13\", expect_size=\"13574144\"] \n  13 -> 17 [size =\"13574144\"]\n  13 -> 22 [size =\"13574144\"]\n  13 -> 28 [size =\"13574144\"]\n  13 -> 30 [size =\"13574144\"]\n  13 -> 31 [size =\"13574144\"]\n  14 [size=\"17702912\", alpha=\"0.12\", expect_size=\"8851456\"] \n  14 -> 18 [size =\"8851456\"]\n  14 -> 22 [size =\"8851456\"]\n  14 -> 31 [size =\"8851456\"]\n  15 [size=\"27187200\", alpha=\"0.19\", expect_size=\"13593600\"] \n  15 -> 22 [size =\"13593600\"]\n  15 -> 31 [size =\"13593600\"]\n  16 [size=\"54489088\", alpha=\"0.05\", expect_size=\"27244544\"] \n  16 -> 18 [size =\"27244544\"]\n  16 -> 22 [size =\"27244544\"]\n  16 -> 23 [size =\"27244544\"]\n  16 -> 26 [size =\"27244544\"]\n  16 -> 31 [size =\"27244544\"]\n  17 [size=\"34052096\", alpha=\"0.07\", expect_size=\"17026048\"] \n  17 -> 32 [size =\"17026048\"]\n  17 -> 33 [size =\"17026048\"]\n  17 -> 43 [size =\"17026048\"]\n  18 [size=\"73969664\", alpha=\"0.01\", expect_size=\"36984832\"] \n  18 -> 36 [size =\"36984832\"]\n  18 -> 40 [size =\"36984832\"]\n  18 -> 41 [size =\"36984832\"]\n  18 -> 42 [size =\"36984832\"]\n  18 -> 45 [size =\"36984832\"]\n  18 -> 46 [size =\"36984832\"]\n  19 [size=\"41633792\", alpha=\"0.09\", expect_size=\"20816896\"] \n  19 -> 35 [size =\"20816896\"]\n  19 -> 44 [size =\"20816896\"]\n  19 -> 46 [size =\"20816896\"]\n  20 [size=\"44402688\", alpha=\"0.10\", expect_size=\"22201344\"] \n  20 -> 32 [size =\"22201344\"]\n  20 -> 46 [size =\"22201344\"]\n  21 [size=\"25243648\", alpha=\"0.02\", expect_size=\"12621824\"] \n  21 -> 34 [size =\"12621824\"]\n  21 -> 39 [size =\"12621824\"]\n  21 -> 41 [size =\"12621824\"]\n  21 -> 42 [size =\"12621824\"]\n  21 -> 45 [size =\"12621824\"]\n  21 -> 46 [size =\"12621824\"]\n  22 [size=\"35436544\", alpha=\"0.03\", expect_size=\"17718272\"] \n  23 [size=\"69830656\", alpha=\"0.17\", expect_size=\"34915328\"] \n  23 -> 34 [size =\"34915328\"]\n  23 -> 41 [size =\"34915328\"]\n  23 -> 42 [size =\"34915328\"]\n  23 -> 46 [size =\"34915328\"]\n  24 [size=\"34816000\", alpha=\"0.02\", expect_size=\"17408000\"] \n  24 -> 34 [size =\"17408000\"]\n  24 -> 38 [size =\"17408000\"]\n  24 -> 46 [size =\"17408000\"]\n  25 [size=\"92796928\", alpha=\"0.02\", expect_size=\"46398464\"] \n  25 -> 32 [size =\"46398464\"]\n  25 -> 36 [size =\"46398464\"]\n  25 -> 38 [size =\"46398464\"]\n  25 -> 39 [size =\"46398464\"]\n  25 -> 41 [size =\"46398464\"]\n  25 -> 46 [size =\"46398464\"]\n  26 [size=\"90286080\", alpha=\"0.15\", expect_size=\"45143040\"] \n  26 -> 35 [size =\"45143040\"]\n  26 -> 38 [size =\"45143040\"]\n  26 -> 39 [size =\"45143040\"]\n  27 [size=\"19838976\", alpha=\"0.15\", expect_size=\"9919488\"] \n  27 -> 32 [size =\"9919488\"]\n  27 -> 34 [size =\"9919488\"]\n  27 -> 37 [size =\"9919488\"]\n  27 -> 38 [size =\"9919488\"]\n  27 -> 41 [size =\"9919488\"]\n  27 -> 45 [size =\"9919488\"]\n  28 [size=\"50974720\", alpha=\"0.01\", expect_size=\"25487360\"] \n  28 -> 32 [size =\"25487360\"]\n  28 -> 36 [size =\"25487360\"]\n  28 -> 39 [size =\"25487360\"]\n  28 -> 40 [size =\"25487360\"]\n  28 -> 41 [size =\"25487360\"]\n  28 -> 45 [size =\"25487360\"]\n  29 [size=\"55887872\", alpha=\"0.18\", expect_size=\"27943936\"] \n  29 -> 32 [size =\"27943936\"]\n  29 -> 34 [size =\"27943936\"]\n  29 -> 35 [size =\"27943936\"]\n  29 -> 36 [size =\"27943936\"]\n  29 -> 40 [size =\"27943936\"]\n  30 [size=\"99887104\", alpha=\"0.04\", expect_size=\"49943552\"] \n  30 -> 32 [size =\"49943552\"]\n  31 [size=\"52129792\", alpha=\"0.03\", expect_size=\"26064896\"] \n  31 -> 32 [size =\"26064896\"]\n  31 -> 35 [size =\"26064896\"]\n  31 -> 36 [size =\"26064896\"]\n  31 -> 42 [size =\"26064896\"]\n  31 -> 43 [size =\"26064896\"]\n  31 -> 45 [size =\"26064896\"]\n  32 [size=\"62218240\", alpha=\"0.07\", expect_size=\"31109120\"] \n  33 [size=\"74137600\", alpha=\"0.13\", expect_size=\"37068800\"] \n  33 -> 47 [size =\"37068800\"]\n  33 -> 48 [size =\"37068800\"]\n  34 [size=\"59013120\", alpha=\"0.01\", expect_size=\"29506560\"] \n  35 [size=\"69335040\", alpha=\"0.13\", expect_size=\"34667520\"] \n  35 -> 49 [size =\"34667520\"]\n  36 [size=\"79089664\", alpha=\"0.14\", expect_size=\"39544832\"] \n  36 -> 49 [size =\"39544832\"]\n  37 [size=\"54315008\", alpha=\"0.00\", expect_size=\"27157504\"] \n  38 [size=\"28684288\", alpha=\"0.20\", expect_size=\"14342144\"] \n  38 -> 47 [size =\"14342144\"]\n  39 [size=\"33472512\", alpha=\"0.06\", expect_size=\"16736256\"] \n  39 -> 50 [size =\"16736256\"]\n  40 [size=\"21880832\", alpha=\"0.19\", expect_size=\"10940416\"] \n  41 [size=\"38619136\", alpha=\"0.16\", expect_size=\"19309568\"] \n  41 -> 47 [size =\"19309568\"]\n  42 [size=\"54444032\", alpha=\"0.18\", expect_size=\"27222016\"] \n  42 -> 47 [size =\"27222016\"]\n  42 -> 50 [size =\"27222016\"]\n  43 [size=\"85237760\", alpha=\"0.12\", expect_size=\"42618880\"] \n  43 -> 47 [size =\"42618880\"]\n  43 -> 49 [size =\"42618880\"]\n  44 [size=\"53293056\", alpha=\"0.11\", expect_size=\"26646528\"] \n  44 -> 47 [size =\"26646528\"]\n  45 [size=\"60196864\", alpha=\"0.08\", expect_size=\"30098432\"] \n  45 -> 50 [size =\"30098432\"]\n  46 [size=\"28282880\", alpha=\"0.02\", expect_size=\"14141440\"] \n  47 [size=\"95922176\", alpha=\"0.18\", expect_size=\"47961088\"] \n  48 [size=\"97943552\", alpha=\"0.03\", expect_size=\"48971776\"] \n  49 [size=\"97828864\", alpha=\"0.17\", expect_size=\"48914432\"] \n  50 [size=\"32358400\", alpha=\"0.10\", expect_size=\"16179200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.548.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24006656\", alpha=\"0.17\", expect_size=\"12003328\"] \n  2 [size=\"98586624\", alpha=\"0.05\", expect_size=\"49293312\"] \n  2 -> 3 [size =\"49293312\"]\n  2 -> 4 [size =\"49293312\"]\n  3 [size=\"36218880\", alpha=\"0.19\", expect_size=\"18109440\"] \n  3 -> 5 [size =\"18109440\"]\n  3 -> 7 [size =\"18109440\"]\n  4 [size=\"56281088\", alpha=\"0.05\", expect_size=\"28140544\"] \n  4 -> 6 [size =\"28140544\"]\n  5 [size=\"73175040\", alpha=\"0.11\", expect_size=\"36587520\"] \n  5 -> 8 [size =\"36587520\"]\n  6 [size=\"50102272\", alpha=\"0.07\", expect_size=\"25051136\"] \n  7 [size=\"86108160\", alpha=\"0.05\", expect_size=\"43054080\"] \n  7 -> 9 [size =\"43054080\"]\n  8 [size=\"14518272\", alpha=\"0.13\", expect_size=\"7259136\"] \n  8 -> 10 [size =\"7259136\"]\n  9 [size=\"91424768\", alpha=\"0.01\", expect_size=\"45712384\"] \n  9 -> 11 [size =\"45712384\"]\n  9 -> 12 [size =\"45712384\"]\n  10 [size=\"103911424\", alpha=\"0.06\", expect_size=\"51955712\"] \n  10 -> 13 [size =\"51955712\"]\n  10 -> 14 [size =\"51955712\"]\n  10 -> 15 [size =\"51955712\"]\n  10 -> 16 [size =\"51955712\"]\n  11 [size=\"99108864\", alpha=\"0.02\", expect_size=\"49554432\"] \n  11 -> 14 [size =\"49554432\"]\n  11 -> 15 [size =\"49554432\"]\n  11 -> 16 [size =\"49554432\"]\n  12 [size=\"86908928\", alpha=\"0.14\", expect_size=\"43454464\"] \n  13 [size=\"14022656\", alpha=\"0.17\", expect_size=\"7011328\"] \n  14 [size=\"10852352\", alpha=\"0.09\", expect_size=\"5426176\"] \n  14 -> 18 [size =\"5426176\"]\n  14 -> 19 [size =\"5426176\"]\n  15 [size=\"32339968\", alpha=\"0.17\", expect_size=\"16169984\"] \n  15 -> 18 [size =\"16169984\"]\n  15 -> 19 [size =\"16169984\"]\n  16 [size=\"83716096\", alpha=\"0.03\", expect_size=\"41858048\"] \n  16 -> 17 [size =\"41858048\"]\n  17 [size=\"20236288\", alpha=\"0.05\", expect_size=\"10118144\"] \n  17 -> 20 [size =\"10118144\"]\n  17 -> 21 [size =\"10118144\"]\n  18 [size=\"44656640\", alpha=\"0.18\", expect_size=\"22328320\"] \n  18 -> 21 [size =\"22328320\"]\n  19 [size=\"13045760\", alpha=\"0.00\", expect_size=\"6522880\"] \n  20 [size=\"19048448\", alpha=\"0.16\", expect_size=\"9524224\"] \n  20 -> 22 [size =\"9524224\"]\n  20 -> 24 [size =\"9524224\"]\n  21 [size=\"49174528\", alpha=\"0.15\", expect_size=\"24587264\"] \n  21 -> 23 [size =\"24587264\"]\n  22 [size=\"60917760\", alpha=\"0.12\", expect_size=\"30458880\"] \n  22 -> 25 [size =\"30458880\"]\n  23 [size=\"32264192\", alpha=\"0.15\", expect_size=\"16132096\"] \n  23 -> 26 [size =\"16132096\"]\n  24 [size=\"16472064\", alpha=\"0.08\", expect_size=\"8236032\"] \n  24 -> 25 [size =\"8236032\"]\n  24 -> 27 [size =\"8236032\"]\n  24 -> 28 [size =\"8236032\"]\n  25 [size=\"58372096\", alpha=\"0.14\", expect_size=\"29186048\"] \n  26 [size=\"42954752\", alpha=\"0.08\", expect_size=\"21477376\"] \n  27 [size=\"56633344\", alpha=\"0.18\", expect_size=\"28316672\"] \n  27 -> 29 [size =\"28316672\"]\n  27 -> 30 [size =\"28316672\"]\n  28 [size=\"79073280\", alpha=\"0.09\", expect_size=\"39536640\"] \n  28 -> 30 [size =\"39536640\"]\n  29 [size=\"70150144\", alpha=\"0.18\", expect_size=\"35075072\"] \n  29 -> 31 [size =\"35075072\"]\n  29 -> 33 [size =\"35075072\"]\n  30 [size=\"71802880\", alpha=\"0.06\", expect_size=\"35901440\"] \n  30 -> 32 [size =\"35901440\"]\n  31 [size=\"53979136\", alpha=\"0.13\", expect_size=\"26989568\"] \n  31 -> 34 [size =\"26989568\"]\n  32 [size=\"30197760\", alpha=\"0.16\", expect_size=\"15098880\"] \n  32 -> 35 [size =\"15098880\"]\n  33 [size=\"88563712\", alpha=\"0.19\", expect_size=\"44281856\"] \n  34 [size=\"66066432\", alpha=\"0.03\", expect_size=\"33033216\"] \n  34 -> 36 [size =\"33033216\"]\n  34 -> 37 [size =\"33033216\"]\n  34 -> 38 [size =\"33033216\"]\n  35 [size=\"102873088\", alpha=\"0.12\", expect_size=\"51436544\"] \n  36 [size=\"72931328\", alpha=\"0.16\", expect_size=\"36465664\"] \n  36 -> 40 [size =\"36465664\"]\n  37 [size=\"15859712\", alpha=\"0.02\", expect_size=\"7929856\"] \n  38 [size=\"101652480\", alpha=\"0.15\", expect_size=\"50826240\"] \n  38 -> 39 [size =\"50826240\"]\n  39 [size=\"51226624\", alpha=\"0.09\", expect_size=\"25613312\"] \n  40 [size=\"39895040\", alpha=\"0.05\", expect_size=\"19947520\"] \n  40 -> 41 [size =\"19947520\"]\n  40 -> 42 [size =\"19947520\"]\n  41 [size=\"66713600\", alpha=\"0.09\", expect_size=\"33356800\"] \n  42 [size=\"31561728\", alpha=\"0.03\", expect_size=\"15780864\"] \n  42 -> 43 [size =\"15780864\"]\n  43 [size=\"10862592\", alpha=\"0.03\", expect_size=\"5431296\"] \n  43 -> 44 [size =\"5431296\"]\n  43 -> 45 [size =\"5431296\"]\n  43 -> 46 [size =\"5431296\"]\n  44 [size=\"102526976\", alpha=\"0.03\", expect_size=\"51263488\"] \n  44 -> 47 [size =\"51263488\"]\n  44 -> 48 [size =\"51263488\"]\n  45 [size=\"23808000\", alpha=\"0.14\", expect_size=\"11904000\"] \n  46 [size=\"79673344\", alpha=\"0.11\", expect_size=\"39836672\"] \n  46 -> 47 [size =\"39836672\"]\n  47 [size=\"60239872\", alpha=\"0.19\", expect_size=\"30119936\"] \n  48 [size=\"69632000\", alpha=\"0.00\", expect_size=\"34816000\"] \n  48 -> 49 [size =\"34816000\"]\n  48 -> 50 [size =\"34816000\"]\n  49 [size=\"47650816\", alpha=\"0.15\", expect_size=\"23825408\"] \n  50 [size=\"91226112\", alpha=\"0.02\", expect_size=\"45613056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.549.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47325184\", alpha=\"0.15\", expect_size=\"23662592\"] \n  1 -> 12 [size =\"23662592\"]\n  1 -> 13 [size =\"23662592\"]\n  2 [size=\"47534080\", alpha=\"0.08\", expect_size=\"23767040\"] \n  2 -> 12 [size =\"23767040\"]\n  2 -> 13 [size =\"23767040\"]\n  3 [size=\"50184192\", alpha=\"0.10\", expect_size=\"25092096\"] \n  3 -> 13 [size =\"25092096\"]\n  4 [size=\"29544448\", alpha=\"0.05\", expect_size=\"14772224\"] \n  4 -> 12 [size =\"14772224\"]\n  4 -> 13 [size =\"14772224\"]\n  5 [size=\"83959808\", alpha=\"0.05\", expect_size=\"41979904\"] \n  5 -> 11 [size =\"41979904\"]\n  6 [size=\"26040320\", alpha=\"0.13\", expect_size=\"13020160\"] \n  6 -> 11 [size =\"13020160\"]\n  7 [size=\"27416576\", alpha=\"0.03\", expect_size=\"13708288\"] \n  7 -> 11 [size =\"13708288\"]\n  8 [size=\"66914304\", alpha=\"0.02\", expect_size=\"33457152\"] \n  8 -> 13 [size =\"33457152\"]\n  9 [size=\"67155968\", alpha=\"0.11\", expect_size=\"33577984\"] \n  10 [size=\"78522368\", alpha=\"0.01\", expect_size=\"39261184\"] \n  11 [size=\"28299264\", alpha=\"0.13\", expect_size=\"14149632\"] \n  11 -> 14 [size =\"14149632\"]\n  11 -> 16 [size =\"14149632\"]\n  11 -> 17 [size =\"14149632\"]\n  11 -> 18 [size =\"14149632\"]\n  11 -> 19 [size =\"14149632\"]\n  12 [size=\"99629056\", alpha=\"0.07\", expect_size=\"49814528\"] \n  12 -> 14 [size =\"49814528\"]\n  12 -> 15 [size =\"49814528\"]\n  12 -> 16 [size =\"49814528\"]\n  12 -> 18 [size =\"49814528\"]\n  13 [size=\"44232704\", alpha=\"0.03\", expect_size=\"22116352\"] \n  13 -> 15 [size =\"22116352\"]\n  13 -> 17 [size =\"22116352\"]\n  13 -> 19 [size =\"22116352\"]\n  14 [size=\"90374144\", alpha=\"0.16\", expect_size=\"45187072\"] \n  14 -> 22 [size =\"45187072\"]\n  15 [size=\"20989952\", alpha=\"0.04\", expect_size=\"10494976\"] \n  15 -> 20 [size =\"10494976\"]\n  15 -> 21 [size =\"10494976\"]\n  15 -> 23 [size =\"10494976\"]\n  16 [size=\"46153728\", alpha=\"0.04\", expect_size=\"23076864\"] \n  16 -> 20 [size =\"23076864\"]\n  16 -> 24 [size =\"23076864\"]\n  16 -> 25 [size =\"23076864\"]\n  17 [size=\"15431680\", alpha=\"0.05\", expect_size=\"7715840\"] \n  17 -> 22 [size =\"7715840\"]\n  17 -> 24 [size =\"7715840\"]\n  18 [size=\"28368896\", alpha=\"0.11\", expect_size=\"14184448\"] \n  18 -> 22 [size =\"14184448\"]\n  18 -> 24 [size =\"14184448\"]\n  19 [size=\"38926336\", alpha=\"0.05\", expect_size=\"19463168\"] \n  19 -> 22 [size =\"19463168\"]\n  19 -> 25 [size =\"19463168\"]\n  20 [size=\"92237824\", alpha=\"0.16\", expect_size=\"46118912\"] \n  20 -> 26 [size =\"46118912\"]\n  20 -> 29 [size =\"46118912\"]\n  21 [size=\"98383872\", alpha=\"0.15\", expect_size=\"49191936\"] \n  21 -> 26 [size =\"49191936\"]\n  21 -> 27 [size =\"49191936\"]\n  21 -> 28 [size =\"49191936\"]\n  22 [size=\"66312192\", alpha=\"0.02\", expect_size=\"33156096\"] \n  22 -> 29 [size =\"33156096\"]\n  23 [size=\"100485120\", alpha=\"0.18\", expect_size=\"50242560\"] \n  23 -> 26 [size =\"50242560\"]\n  23 -> 29 [size =\"50242560\"]\n  24 [size=\"22308864\", alpha=\"0.17\", expect_size=\"11154432\"] \n  24 -> 27 [size =\"11154432\"]\n  25 [size=\"98160640\", alpha=\"0.12\", expect_size=\"49080320\"] \n  25 -> 27 [size =\"49080320\"]\n  26 [size=\"23187456\", alpha=\"0.10\", expect_size=\"11593728\"] \n  26 -> 32 [size =\"11593728\"]\n  26 -> 35 [size =\"11593728\"]\n  26 -> 36 [size =\"11593728\"]\n  26 -> 38 [size =\"11593728\"]\n  27 [size=\"44197888\", alpha=\"0.12\", expect_size=\"22098944\"] \n  27 -> 30 [size =\"22098944\"]\n  27 -> 37 [size =\"22098944\"]\n  28 [size=\"66197504\", alpha=\"0.05\", expect_size=\"33098752\"] \n  28 -> 31 [size =\"33098752\"]\n  28 -> 33 [size =\"33098752\"]\n  29 [size=\"24348672\", alpha=\"0.11\", expect_size=\"12174336\"] \n  29 -> 34 [size =\"12174336\"]\n  29 -> 35 [size =\"12174336\"]\n  29 -> 36 [size =\"12174336\"]\n  30 [size=\"49143808\", alpha=\"0.11\", expect_size=\"24571904\"] \n  30 -> 40 [size =\"24571904\"]\n  30 -> 41 [size =\"24571904\"]\n  31 [size=\"32333824\", alpha=\"0.15\", expect_size=\"16166912\"] \n  31 -> 39 [size =\"16166912\"]\n  31 -> 41 [size =\"16166912\"]\n  31 -> 42 [size =\"16166912\"]\n  32 [size=\"10756096\", alpha=\"0.18\", expect_size=\"5378048\"] \n  32 -> 39 [size =\"5378048\"]\n  32 -> 40 [size =\"5378048\"]\n  32 -> 41 [size =\"5378048\"]\n  32 -> 45 [size =\"5378048\"]\n  33 [size=\"21460992\", alpha=\"0.08\", expect_size=\"10730496\"] \n  33 -> 39 [size =\"10730496\"]\n  33 -> 43 [size =\"10730496\"]\n  33 -> 45 [size =\"10730496\"]\n  34 [size=\"104151040\", alpha=\"0.15\", expect_size=\"52075520\"] \n  34 -> 43 [size =\"52075520\"]\n  34 -> 44 [size =\"52075520\"]\n  35 [size=\"89139200\", alpha=\"0.04\", expect_size=\"44569600\"] \n  35 -> 39 [size =\"44569600\"]\n  35 -> 40 [size =\"44569600\"]\n  35 -> 44 [size =\"44569600\"]\n  36 [size=\"49903616\", alpha=\"0.01\", expect_size=\"24951808\"] \n  36 -> 41 [size =\"24951808\"]\n  36 -> 42 [size =\"24951808\"]\n  36 -> 43 [size =\"24951808\"]\n  36 -> 44 [size =\"24951808\"]\n  37 [size=\"96370688\", alpha=\"0.18\", expect_size=\"48185344\"] \n  37 -> 43 [size =\"48185344\"]\n  38 [size=\"56727552\", alpha=\"0.20\", expect_size=\"28363776\"] \n  38 -> 43 [size =\"28363776\"]\n  39 [size=\"81776640\", alpha=\"0.07\", expect_size=\"40888320\"] \n  39 -> 48 [size =\"40888320\"]\n  39 -> 50 [size =\"40888320\"]\n  40 [size=\"39446528\", alpha=\"0.12\", expect_size=\"19723264\"] \n  40 -> 47 [size =\"19723264\"]\n  40 -> 49 [size =\"19723264\"]\n  41 [size=\"92145664\", alpha=\"0.16\", expect_size=\"46072832\"] \n  41 -> 49 [size =\"46072832\"]\n  41 -> 50 [size =\"46072832\"]\n  42 [size=\"68945920\", alpha=\"0.11\", expect_size=\"34472960\"] \n  42 -> 46 [size =\"34472960\"]\n  42 -> 47 [size =\"34472960\"]\n  43 [size=\"58990592\", alpha=\"0.05\", expect_size=\"29495296\"] \n  43 -> 46 [size =\"29495296\"]\n  43 -> 47 [size =\"29495296\"]\n  44 [size=\"96028672\", alpha=\"0.02\", expect_size=\"48014336\"] \n  44 -> 47 [size =\"48014336\"]\n  44 -> 48 [size =\"48014336\"]\n  44 -> 49 [size =\"48014336\"]\n  45 [size=\"71206912\", alpha=\"0.18\", expect_size=\"35603456\"] \n  45 -> 48 [size =\"35603456\"]\n  46 [size=\"89403392\", alpha=\"0.16\", expect_size=\"44701696\"] \n  47 [size=\"91914240\", alpha=\"0.01\", expect_size=\"45957120\"] \n  48 [size=\"83687424\", alpha=\"0.18\", expect_size=\"41843712\"] \n  49 [size=\"82606080\", alpha=\"0.19\", expect_size=\"41303040\"] \n  50 [size=\"22740992\", alpha=\"0.07\", expect_size=\"11370496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172366507\", alpha=\"0.19\", expect_size=\"51709952\"] \n  1 -> 3 [size =\"51709952\"]\n  1 -> 4 [size =\"51709952\"]\n  1 -> 5 [size =\"51709952\"]\n  2 [size=\"19080533\", alpha=\"0.11\", expect_size=\"5724160\"] \n  2 -> 3 [size =\"5724160\"]\n  2 -> 4 [size =\"5724160\"]\n  2 -> 5 [size =\"5724160\"]\n  3 [size=\"35768320\", alpha=\"0.18\", expect_size=\"10730496\"] \n  3 -> 8 [size =\"10730496\"]\n  4 [size=\"34730667\", alpha=\"0.05\", expect_size=\"10419200\"] \n  4 -> 6 [size =\"10419200\"]\n  4 -> 8 [size =\"10419200\"]\n  5 [size=\"130658987\", alpha=\"0.19\", expect_size=\"39197696\"] \n  5 -> 7 [size =\"39197696\"]\n  6 [size=\"29986133\", alpha=\"0.16\", expect_size=\"8995840\"] \n  6 -> 9 [size =\"8995840\"]\n  6 -> 10 [size =\"8995840\"]\n  6 -> 11 [size =\"8995840\"]\n  7 [size=\"43038720\", alpha=\"0.05\", expect_size=\"12911616\"] \n  7 -> 11 [size =\"12911616\"]\n  8 [size=\"68000427\", alpha=\"0.14\", expect_size=\"20400128\"] \n  8 -> 10 [size =\"20400128\"]\n  8 -> 11 [size =\"20400128\"]\n  9 [size=\"153053867\", alpha=\"0.04\", expect_size=\"45916160\"] \n  9 -> 12 [size =\"45916160\"]\n  10 [size=\"61938347\", alpha=\"0.15\", expect_size=\"18581504\"] \n  10 -> 13 [size =\"18581504\"]\n  11 [size=\"55316480\", alpha=\"0.07\", expect_size=\"16594944\"] \n  12 [size=\"44315307\", alpha=\"0.06\", expect_size=\"13294592\"] \n  12 -> 14 [size =\"13294592\"]\n  12 -> 15 [size =\"13294592\"]\n  13 [size=\"133522773\", alpha=\"0.11\", expect_size=\"40056832\"] \n  13 -> 14 [size =\"40056832\"]\n  14 [size=\"119470080\", alpha=\"0.15\", expect_size=\"35841024\"] \n  14 -> 16 [size =\"35841024\"]\n  14 -> 17 [size =\"35841024\"]\n  15 [size=\"157163520\", alpha=\"0.16\", expect_size=\"47149056\"] \n  15 -> 17 [size =\"47149056\"]\n  15 -> 18 [size =\"47149056\"]\n  16 [size=\"148964693\", alpha=\"0.01\", expect_size=\"44689408\"] \n  17 [size=\"115770027\", alpha=\"0.17\", expect_size=\"34731008\"] \n  17 -> 19 [size =\"34731008\"]\n  17 -> 20 [size =\"34731008\"]\n  18 [size=\"157494613\", alpha=\"0.14\", expect_size=\"47248384\"] \n  19 [size=\"112397653\", alpha=\"0.02\", expect_size=\"33719296\"] \n  19 -> 23 [size =\"33719296\"]\n  20 [size=\"141335893\", alpha=\"0.03\", expect_size=\"42400768\"] \n  20 -> 21 [size =\"42400768\"]\n  20 -> 22 [size =\"42400768\"]\n  21 [size=\"101236053\", alpha=\"0.05\", expect_size=\"30370816\"] \n  22 [size=\"159064747\", alpha=\"0.06\", expect_size=\"47719424\"] \n  22 -> 24 [size =\"47719424\"]\n  23 [size=\"50554880\", alpha=\"0.10\", expect_size=\"15166464\"] \n  23 -> 25 [size =\"15166464\"]\n  24 [size=\"135809707\", alpha=\"0.16\", expect_size=\"40742912\"] \n  24 -> 26 [size =\"40742912\"]\n  25 [size=\"96610987\", alpha=\"0.17\", expect_size=\"28983296\"] \n  25 -> 26 [size =\"28983296\"]\n  25 -> 27 [size =\"28983296\"]\n  26 [size=\"67949227\", alpha=\"0.19\", expect_size=\"20384768\"] \n  26 -> 28 [size =\"20384768\"]\n  26 -> 29 [size =\"20384768\"]\n  27 [size=\"73833813\", alpha=\"0.04\", expect_size=\"22150144\"] \n  27 -> 28 [size =\"22150144\"]\n  27 -> 29 [size =\"22150144\"]\n  28 [size=\"47595520\", alpha=\"0.16\", expect_size=\"14278656\"] \n  28 -> 30 [size =\"14278656\"]\n  28 -> 31 [size =\"14278656\"]\n  29 [size=\"154289493\", alpha=\"0.05\", expect_size=\"46286848\"] \n  29 -> 30 [size =\"46286848\"]\n  29 -> 31 [size =\"46286848\"]\n  30 [size=\"166775467\", alpha=\"0.20\", expect_size=\"50032640\"] \n  30 -> 32 [size =\"50032640\"]\n  30 -> 33 [size =\"50032640\"]\n  30 -> 34 [size =\"50032640\"]\n  31 [size=\"35464533\", alpha=\"0.19\", expect_size=\"10639360\"] \n  31 -> 33 [size =\"10639360\"]\n  31 -> 34 [size =\"10639360\"]\n  32 [size=\"72526507\", alpha=\"0.02\", expect_size=\"21757952\"] \n  32 -> 37 [size =\"21757952\"]\n  33 [size=\"122289493\", alpha=\"0.00\", expect_size=\"36686848\"] \n  33 -> 36 [size =\"36686848\"]\n  33 -> 37 [size =\"36686848\"]\n  34 [size=\"45752320\", alpha=\"0.11\", expect_size=\"13725696\"] \n  34 -> 35 [size =\"13725696\"]\n  34 -> 37 [size =\"13725696\"]\n  35 [size=\"174749013\", alpha=\"0.19\", expect_size=\"52424704\"] \n  36 [size=\"150603093\", alpha=\"0.04\", expect_size=\"45180928\"] \n  37 [size=\"143114240\", alpha=\"0.02\", expect_size=\"42934272\"] \n  37 -> 38 [size =\"42934272\"]\n  37 -> 39 [size =\"42934272\"]\n  38 [size=\"20555093\", alpha=\"0.17\", expect_size=\"6166528\"] \n  38 -> 41 [size =\"6166528\"]\n  39 [size=\"148029440\", alpha=\"0.05\", expect_size=\"44408832\"] \n  39 -> 40 [size =\"44408832\"]\n  40 [size=\"31969280\", alpha=\"0.08\", expect_size=\"9590784\"] \n  40 -> 43 [size =\"9590784\"]\n  41 [size=\"31406080\", alpha=\"0.02\", expect_size=\"9421824\"] \n  41 -> 42 [size =\"9421824\"]\n  41 -> 43 [size =\"9421824\"]\n  41 -> 44 [size =\"9421824\"]\n  42 [size=\"26900480\", alpha=\"0.14\", expect_size=\"8070144\"] \n  42 -> 45 [size =\"8070144\"]\n  42 -> 46 [size =\"8070144\"]\n  42 -> 47 [size =\"8070144\"]\n  43 [size=\"45291520\", alpha=\"0.10\", expect_size=\"13587456\"] \n  43 -> 47 [size =\"13587456\"]\n  44 [size=\"45335893\", alpha=\"0.01\", expect_size=\"13600768\"] \n  45 [size=\"129034240\", alpha=\"0.02\", expect_size=\"38710272\"] \n  45 -> 48 [size =\"38710272\"]\n  45 -> 49 [size =\"38710272\"]\n  46 [size=\"121497600\", alpha=\"0.10\", expect_size=\"36449280\"] \n  47 [size=\"154221227\", alpha=\"0.05\", expect_size=\"46266368\"] \n  47 -> 50 [size =\"46266368\"]\n  48 [size=\"168209067\", alpha=\"0.03\", expect_size=\"50462720\"] \n  49 [size=\"146196480\", alpha=\"0.19\", expect_size=\"43858944\"] \n  50 [size=\"25818453\", alpha=\"0.14\", expect_size=\"7745536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.550.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"123736747\", alpha=\"0.10\", expect_size=\"37121024\"] \n  2 [size=\"39062187\", alpha=\"0.18\", expect_size=\"11718656\"] \n  2 -> 4 [size =\"11718656\"]\n  3 [size=\"68962987\", alpha=\"0.01\", expect_size=\"20688896\"] \n  3 -> 4 [size =\"20688896\"]\n  3 -> 5 [size =\"20688896\"]\n  4 [size=\"20640427\", alpha=\"0.11\", expect_size=\"6192128\"] \n  4 -> 7 [size =\"6192128\"]\n  5 [size=\"35532800\", alpha=\"0.17\", expect_size=\"10659840\"] \n  5 -> 6 [size =\"10659840\"]\n  6 [size=\"70761813\", alpha=\"0.17\", expect_size=\"21228544\"] \n  6 -> 9 [size =\"21228544\"]\n  7 [size=\"112663893\", alpha=\"0.11\", expect_size=\"33799168\"] \n  7 -> 8 [size =\"33799168\"]\n  8 [size=\"35119787\", alpha=\"0.19\", expect_size=\"10535936\"] \n  8 -> 10 [size =\"10535936\"]\n  8 -> 11 [size =\"10535936\"]\n  9 [size=\"71546880\", alpha=\"0.14\", expect_size=\"21464064\"] \n  10 [size=\"153647787\", alpha=\"0.03\", expect_size=\"46094336\"] \n  10 -> 12 [size =\"46094336\"]\n  10 -> 13 [size =\"46094336\"]\n  11 [size=\"77253973\", alpha=\"0.01\", expect_size=\"23176192\"] \n  12 [size=\"152900267\", alpha=\"0.03\", expect_size=\"45870080\"] \n  13 [size=\"138260480\", alpha=\"0.07\", expect_size=\"41478144\"] \n  13 -> 14 [size =\"41478144\"]\n  13 -> 15 [size =\"41478144\"]\n  14 [size=\"147961173\", alpha=\"0.18\", expect_size=\"44388352\"] \n  14 -> 17 [size =\"44388352\"]\n  15 [size=\"77274453\", alpha=\"0.19\", expect_size=\"23182336\"] \n  15 -> 16 [size =\"23182336\"]\n  16 [size=\"53060267\", alpha=\"0.02\", expect_size=\"15918080\"] \n  17 [size=\"29221547\", alpha=\"0.19\", expect_size=\"8766464\"] \n  17 -> 18 [size =\"8766464\"]\n  17 -> 19 [size =\"8766464\"]\n  18 [size=\"118248107\", alpha=\"0.17\", expect_size=\"35474432\"] \n  18 -> 20 [size =\"35474432\"]\n  19 [size=\"113718613\", alpha=\"0.02\", expect_size=\"34115584\"] \n  19 -> 21 [size =\"34115584\"]\n  20 [size=\"67037867\", alpha=\"0.09\", expect_size=\"20111360\"] \n  20 -> 23 [size =\"20111360\"]\n  21 [size=\"87214080\", alpha=\"0.10\", expect_size=\"26164224\"] \n  21 -> 22 [size =\"26164224\"]\n  21 -> 24 [size =\"26164224\"]\n  22 [size=\"93088427\", alpha=\"0.13\", expect_size=\"27926528\"] \n  22 -> 25 [size =\"27926528\"]\n  22 -> 27 [size =\"27926528\"]\n  23 [size=\"114899627\", alpha=\"0.02\", expect_size=\"34469888\"] \n  23 -> 25 [size =\"34469888\"]\n  23 -> 26 [size =\"34469888\"]\n  24 [size=\"172639573\", alpha=\"0.13\", expect_size=\"51791872\"] \n  24 -> 27 [size =\"51791872\"]\n  25 [size=\"160815787\", alpha=\"0.05\", expect_size=\"48244736\"] \n  25 -> 28 [size =\"48244736\"]\n  26 [size=\"156368213\", alpha=\"0.04\", expect_size=\"46910464\"] \n  27 [size=\"168553813\", alpha=\"0.15\", expect_size=\"50566144\"] \n  27 -> 29 [size =\"50566144\"]\n  27 -> 30 [size =\"50566144\"]\n  28 [size=\"162129920\", alpha=\"0.09\", expect_size=\"48638976\"] \n  29 [size=\"139946667\", alpha=\"0.09\", expect_size=\"41984000\"] \n  30 [size=\"157709653\", alpha=\"0.07\", expect_size=\"47312896\"] \n  30 -> 31 [size =\"47312896\"]\n  30 -> 32 [size =\"47312896\"]\n  31 [size=\"72454827\", alpha=\"0.12\", expect_size=\"21736448\"] \n  31 -> 33 [size =\"21736448\"]\n  32 [size=\"147725653\", alpha=\"0.15\", expect_size=\"44317696\"] \n  32 -> 34 [size =\"44317696\"]\n  33 [size=\"90542080\", alpha=\"0.13\", expect_size=\"27162624\"] \n  34 [size=\"109677227\", alpha=\"0.07\", expect_size=\"32903168\"] \n  34 -> 35 [size =\"32903168\"]\n  34 -> 36 [size =\"32903168\"]\n  35 [size=\"51008853\", alpha=\"0.09\", expect_size=\"15302656\"] \n  35 -> 37 [size =\"15302656\"]\n  36 [size=\"89883307\", alpha=\"0.16\", expect_size=\"26964992\"] \n  36 -> 38 [size =\"26964992\"]\n  37 [size=\"122299733\", alpha=\"0.04\", expect_size=\"36689920\"] \n  37 -> 39 [size =\"36689920\"]\n  37 -> 41 [size =\"36689920\"]\n  38 [size=\"86159360\", alpha=\"0.05\", expect_size=\"25847808\"] \n  38 -> 40 [size =\"25847808\"]\n  39 [size=\"156395520\", alpha=\"0.18\", expect_size=\"46918656\"] \n  39 -> 43 [size =\"46918656\"]\n  39 -> 44 [size =\"46918656\"]\n  40 [size=\"72509440\", alpha=\"0.18\", expect_size=\"21752832\"] \n  41 [size=\"127959040\", alpha=\"0.06\", expect_size=\"38387712\"] \n  41 -> 42 [size =\"38387712\"]\n  42 [size=\"67952640\", alpha=\"0.04\", expect_size=\"20385792\"] \n  43 [size=\"27910827\", alpha=\"0.14\", expect_size=\"8373248\"] \n  43 -> 46 [size =\"8373248\"]\n  44 [size=\"128624640\", alpha=\"0.04\", expect_size=\"38587392\"] \n  44 -> 45 [size =\"38587392\"]\n  45 [size=\"28716373\", alpha=\"0.13\", expect_size=\"8614912\"] \n  45 -> 48 [size =\"8614912\"]\n  46 [size=\"102563840\", alpha=\"0.19\", expect_size=\"30769152\"] \n  46 -> 47 [size =\"30769152\"]\n  47 [size=\"71178240\", alpha=\"0.04\", expect_size=\"21353472\"] \n  47 -> 49 [size =\"21353472\"]\n  48 [size=\"103594667\", alpha=\"0.07\", expect_size=\"31078400\"] \n  48 -> 50 [size =\"31078400\"]\n  49 [size=\"143301973\", alpha=\"0.06\", expect_size=\"42990592\"] \n  50 [size=\"129252693\", alpha=\"0.03\", expect_size=\"38775808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.551.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68679680\", alpha=\"0.16\", expect_size=\"34339840\"] \n  1 -> 11 [size =\"34339840\"]\n  2 [size=\"61917184\", alpha=\"0.02\", expect_size=\"30958592\"] \n  2 -> 10 [size =\"30958592\"]\n  2 -> 11 [size =\"30958592\"]\n  3 [size=\"47515648\", alpha=\"0.14\", expect_size=\"23757824\"] \n  3 -> 12 [size =\"23757824\"]\n  4 [size=\"35473408\", alpha=\"0.08\", expect_size=\"17736704\"] \n  4 -> 12 [size =\"17736704\"]\n  5 [size=\"17489920\", alpha=\"0.02\", expect_size=\"8744960\"] \n  5 -> 11 [size =\"8744960\"]\n  5 -> 13 [size =\"8744960\"]\n  6 [size=\"72384512\", alpha=\"0.12\", expect_size=\"36192256\"] \n  6 -> 12 [size =\"36192256\"]\n  7 [size=\"12883968\", alpha=\"0.00\", expect_size=\"6441984\"] \n  7 -> 10 [size =\"6441984\"]\n  7 -> 13 [size =\"6441984\"]\n  8 [size=\"91695104\", alpha=\"0.18\", expect_size=\"45847552\"] \n  8 -> 10 [size =\"45847552\"]\n  8 -> 12 [size =\"45847552\"]\n  9 [size=\"11958272\", alpha=\"0.03\", expect_size=\"5979136\"] \n  9 -> 11 [size =\"5979136\"]\n  10 [size=\"45619200\", alpha=\"0.02\", expect_size=\"22809600\"] \n  10 -> 16 [size =\"22809600\"]\n  10 -> 17 [size =\"22809600\"]\n  11 [size=\"12406784\", alpha=\"0.11\", expect_size=\"6203392\"] \n  11 -> 14 [size =\"6203392\"]\n  11 -> 15 [size =\"6203392\"]\n  12 [size=\"87322624\", alpha=\"0.17\", expect_size=\"43661312\"] \n  12 -> 16 [size =\"43661312\"]\n  13 [size=\"98680832\", alpha=\"0.00\", expect_size=\"49340416\"] \n  13 -> 14 [size =\"49340416\"]\n  14 [size=\"71866368\", alpha=\"0.18\", expect_size=\"35933184\"] \n  14 -> 20 [size =\"35933184\"]\n  14 -> 21 [size =\"35933184\"]\n  15 [size=\"16476160\", alpha=\"0.11\", expect_size=\"8238080\"] \n  15 -> 19 [size =\"8238080\"]\n  15 -> 22 [size =\"8238080\"]\n  16 [size=\"23973888\", alpha=\"0.20\", expect_size=\"11986944\"] \n  16 -> 18 [size =\"11986944\"]\n  16 -> 19 [size =\"11986944\"]\n  16 -> 20 [size =\"11986944\"]\n  16 -> 22 [size =\"11986944\"]\n  17 [size=\"80044032\", alpha=\"0.16\", expect_size=\"40022016\"] \n  17 -> 18 [size =\"40022016\"]\n  17 -> 19 [size =\"40022016\"]\n  17 -> 21 [size =\"40022016\"]\n  18 [size=\"81074176\", alpha=\"0.02\", expect_size=\"40537088\"] \n  18 -> 26 [size =\"40537088\"]\n  19 [size=\"73605120\", alpha=\"0.10\", expect_size=\"36802560\"] \n  19 -> 24 [size =\"36802560\"]\n  19 -> 26 [size =\"36802560\"]\n  19 -> 27 [size =\"36802560\"]\n  20 [size=\"88375296\", alpha=\"0.03\", expect_size=\"44187648\"] \n  20 -> 25 [size =\"44187648\"]\n  21 [size=\"98166784\", alpha=\"0.08\", expect_size=\"49083392\"] \n  21 -> 23 [size =\"49083392\"]\n  21 -> 25 [size =\"49083392\"]\n  21 -> 26 [size =\"49083392\"]\n  22 [size=\"54878208\", alpha=\"0.04\", expect_size=\"27439104\"] \n  22 -> 23 [size =\"27439104\"]\n  22 -> 25 [size =\"27439104\"]\n  23 [size=\"41050112\", alpha=\"0.08\", expect_size=\"20525056\"] \n  23 -> 32 [size =\"20525056\"]\n  24 [size=\"41789440\", alpha=\"0.18\", expect_size=\"20894720\"] \n  24 -> 30 [size =\"20894720\"]\n  24 -> 32 [size =\"20894720\"]\n  25 [size=\"34334720\", alpha=\"0.08\", expect_size=\"17167360\"] \n  25 -> 28 [size =\"17167360\"]\n  25 -> 29 [size =\"17167360\"]\n  25 -> 30 [size =\"17167360\"]\n  25 -> 32 [size =\"17167360\"]\n  26 [size=\"86233088\", alpha=\"0.12\", expect_size=\"43116544\"] \n  26 -> 28 [size =\"43116544\"]\n  26 -> 29 [size =\"43116544\"]\n  26 -> 31 [size =\"43116544\"]\n  27 [size=\"86042624\", alpha=\"0.16\", expect_size=\"43021312\"] \n  27 -> 29 [size =\"43021312\"]\n  28 [size=\"67719168\", alpha=\"0.18\", expect_size=\"33859584\"] \n  28 -> 37 [size =\"33859584\"]\n  28 -> 38 [size =\"33859584\"]\n  28 -> 39 [size =\"33859584\"]\n  28 -> 39 [size =\"33859584\"]\n  28 -> 40 [size =\"33859584\"]\n  29 [size=\"78270464\", alpha=\"0.20\", expect_size=\"39135232\"] \n  29 -> 35 [size =\"39135232\"]\n  29 -> 37 [size =\"39135232\"]\n  29 -> 38 [size =\"39135232\"]\n  29 -> 40 [size =\"39135232\"]\n  29 -> 41 [size =\"39135232\"]\n  29 -> 42 [size =\"39135232\"]\n  30 [size=\"32456704\", alpha=\"0.09\", expect_size=\"16228352\"] \n  30 -> 34 [size =\"16228352\"]\n  30 -> 35 [size =\"16228352\"]\n  30 -> 36 [size =\"16228352\"]\n  30 -> 38 [size =\"16228352\"]\n  30 -> 41 [size =\"16228352\"]\n  31 [size=\"47304704\", alpha=\"0.19\", expect_size=\"23652352\"] \n  31 -> 34 [size =\"23652352\"]\n  31 -> 37 [size =\"23652352\"]\n  31 -> 42 [size =\"23652352\"]\n  32 [size=\"86638592\", alpha=\"0.05\", expect_size=\"43319296\"] \n  32 -> 33 [size =\"43319296\"]\n  32 -> 34 [size =\"43319296\"]\n  32 -> 35 [size =\"43319296\"]\n  32 -> 39 [size =\"43319296\"]\n  32 -> 41 [size =\"43319296\"]\n  32 -> 42 [size =\"43319296\"]\n  33 [size=\"13148160\", alpha=\"0.10\", expect_size=\"6574080\"] \n  33 -> 45 [size =\"6574080\"]\n  33 -> 47 [size =\"6574080\"]\n  34 [size=\"52602880\", alpha=\"0.07\", expect_size=\"26301440\"] \n  34 -> 43 [size =\"26301440\"]\n  35 [size=\"41254912\", alpha=\"0.06\", expect_size=\"20627456\"] \n  35 -> 43 [size =\"20627456\"]\n  35 -> 46 [size =\"20627456\"]\n  35 -> 50 [size =\"20627456\"]\n  36 [size=\"80476160\", alpha=\"0.08\", expect_size=\"40238080\"] \n  36 -> 44 [size =\"40238080\"]\n  36 -> 46 [size =\"40238080\"]\n  37 [size=\"43427840\", alpha=\"0.05\", expect_size=\"21713920\"] \n  37 -> 45 [size =\"21713920\"]\n  38 [size=\"26880000\", alpha=\"0.16\", expect_size=\"13440000\"] \n  38 -> 46 [size =\"13440000\"]\n  38 -> 48 [size =\"13440000\"]\n  39 [size=\"17672192\", alpha=\"0.01\", expect_size=\"8836096\"] \n  39 -> 43 [size =\"8836096\"]\n  39 -> 44 [size =\"8836096\"]\n  39 -> 45 [size =\"8836096\"]\n  39 -> 46 [size =\"8836096\"]\n  39 -> 48 [size =\"8836096\"]\n  40 [size=\"17274880\", alpha=\"0.03\", expect_size=\"8637440\"] \n  40 -> 43 [size =\"8637440\"]\n  40 -> 44 [size =\"8637440\"]\n  40 -> 45 [size =\"8637440\"]\n  40 -> 46 [size =\"8637440\"]\n  40 -> 48 [size =\"8637440\"]\n  41 [size=\"60827648\", alpha=\"0.03\", expect_size=\"30413824\"] \n  41 -> 43 [size =\"30413824\"]\n  41 -> 44 [size =\"30413824\"]\n  41 -> 46 [size =\"30413824\"]\n  41 -> 48 [size =\"30413824\"]\n  41 -> 48 [size =\"30413824\"]\n  41 -> 49 [size =\"30413824\"]\n  42 [size=\"55877632\", alpha=\"0.12\", expect_size=\"27938816\"] \n  42 -> 43 [size =\"27938816\"]\n  42 -> 44 [size =\"27938816\"]\n  42 -> 45 [size =\"27938816\"]\n  43 [size=\"79265792\", alpha=\"0.08\", expect_size=\"39632896\"] \n  44 [size=\"30443520\", alpha=\"0.10\", expect_size=\"15221760\"] \n  45 [size=\"65163264\", alpha=\"0.18\", expect_size=\"32581632\"] \n  46 [size=\"95047680\", alpha=\"0.02\", expect_size=\"47523840\"] \n  47 [size=\"39208960\", alpha=\"0.01\", expect_size=\"19604480\"] \n  48 [size=\"61583360\", alpha=\"0.13\", expect_size=\"30791680\"] \n  49 [size=\"44011520\", alpha=\"0.19\", expect_size=\"22005760\"] \n  50 [size=\"49614848\", alpha=\"0.10\", expect_size=\"24807424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.552.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130751147\", alpha=\"0.10\", expect_size=\"39225344\"] \n  1 -> 5 [size =\"39225344\"]\n  1 -> 6 [size =\"39225344\"]\n  2 [size=\"159044267\", alpha=\"0.11\", expect_size=\"47713280\"] \n  2 -> 4 [size =\"47713280\"]\n  2 -> 5 [size =\"47713280\"]\n  2 -> 6 [size =\"47713280\"]\n  3 [size=\"166550187\", alpha=\"0.04\", expect_size=\"49965056\"] \n  3 -> 4 [size =\"49965056\"]\n  3 -> 5 [size =\"49965056\"]\n  3 -> 6 [size =\"49965056\"]\n  4 [size=\"94917973\", alpha=\"0.17\", expect_size=\"28475392\"] \n  4 -> 7 [size =\"28475392\"]\n  4 -> 8 [size =\"28475392\"]\n  5 [size=\"92238507\", alpha=\"0.14\", expect_size=\"27671552\"] \n  5 -> 7 [size =\"27671552\"]\n  5 -> 8 [size =\"27671552\"]\n  6 [size=\"49312427\", alpha=\"0.08\", expect_size=\"14793728\"] \n  6 -> 7 [size =\"14793728\"]\n  6 -> 8 [size =\"14793728\"]\n  7 [size=\"87244800\", alpha=\"0.00\", expect_size=\"26173440\"] \n  7 -> 9 [size =\"26173440\"]\n  7 -> 10 [size =\"26173440\"]\n  7 -> 11 [size =\"26173440\"]\n  8 [size=\"58419200\", alpha=\"0.02\", expect_size=\"17525760\"] \n  8 -> 9 [size =\"17525760\"]\n  8 -> 10 [size =\"17525760\"]\n  9 [size=\"173069653\", alpha=\"0.04\", expect_size=\"51920896\"] \n  9 -> 12 [size =\"51920896\"]\n  9 -> 14 [size =\"51920896\"]\n  10 [size=\"29221547\", alpha=\"0.10\", expect_size=\"8766464\"] \n  10 -> 12 [size =\"8766464\"]\n  10 -> 13 [size =\"8766464\"]\n  11 [size=\"146343253\", alpha=\"0.05\", expect_size=\"43902976\"] \n  11 -> 12 [size =\"43902976\"]\n  12 [size=\"66891093\", alpha=\"0.13\", expect_size=\"20067328\"] \n  12 -> 16 [size =\"20067328\"]\n  12 -> 17 [size =\"20067328\"]\n  13 [size=\"155706027\", alpha=\"0.07\", expect_size=\"46711808\"] \n  13 -> 16 [size =\"46711808\"]\n  13 -> 17 [size =\"46711808\"]\n  14 [size=\"31505067\", alpha=\"0.08\", expect_size=\"9451520\"] \n  14 -> 15 [size =\"9451520\"]\n  14 -> 17 [size =\"9451520\"]\n  15 [size=\"163597653\", alpha=\"0.13\", expect_size=\"49079296\"] \n  15 -> 20 [size =\"49079296\"]\n  16 [size=\"119374507\", alpha=\"0.12\", expect_size=\"35812352\"] \n  16 -> 20 [size =\"35812352\"]\n  17 [size=\"23685120\", alpha=\"0.15\", expect_size=\"7105536\"] \n  17 -> 18 [size =\"7105536\"]\n  17 -> 19 [size =\"7105536\"]\n  18 [size=\"24067413\", alpha=\"0.05\", expect_size=\"7220224\"] \n  18 -> 21 [size =\"7220224\"]\n  19 [size=\"43182080\", alpha=\"0.13\", expect_size=\"12954624\"] \n  19 -> 21 [size =\"12954624\"]\n  19 -> 22 [size =\"12954624\"]\n  20 [size=\"74615467\", alpha=\"0.07\", expect_size=\"22384640\"] \n  20 -> 21 [size =\"22384640\"]\n  21 [size=\"153985707\", alpha=\"0.16\", expect_size=\"46195712\"] \n  21 -> 23 [size =\"46195712\"]\n  21 -> 24 [size =\"46195712\"]\n  22 [size=\"35645440\", alpha=\"0.02\", expect_size=\"10693632\"] \n  22 -> 23 [size =\"10693632\"]\n  23 [size=\"139588267\", alpha=\"0.07\", expect_size=\"41876480\"] \n  23 -> 25 [size =\"41876480\"]\n  23 -> 26 [size =\"41876480\"]\n  23 -> 27 [size =\"41876480\"]\n  24 [size=\"39877973\", alpha=\"0.02\", expect_size=\"11963392\"] \n  24 -> 26 [size =\"11963392\"]\n  24 -> 27 [size =\"11963392\"]\n  25 [size=\"104475307\", alpha=\"0.07\", expect_size=\"31342592\"] \n  25 -> 28 [size =\"31342592\"]\n  25 -> 29 [size =\"31342592\"]\n  26 [size=\"50626560\", alpha=\"0.16\", expect_size=\"15187968\"] \n  26 -> 28 [size =\"15187968\"]\n  26 -> 30 [size =\"15187968\"]\n  27 [size=\"142871893\", alpha=\"0.13\", expect_size=\"42861568\"] \n  27 -> 29 [size =\"42861568\"]\n  28 [size=\"102478507\", alpha=\"0.16\", expect_size=\"30743552\"] \n  29 [size=\"144797013\", alpha=\"0.19\", expect_size=\"43439104\"] \n  29 -> 31 [size =\"43439104\"]\n  29 -> 32 [size =\"43439104\"]\n  30 [size=\"93047467\", alpha=\"0.03\", expect_size=\"27914240\"] \n  30 -> 31 [size =\"27914240\"]\n  31 [size=\"150780587\", alpha=\"0.03\", expect_size=\"45234176\"] \n  31 -> 33 [size =\"45234176\"]\n  31 -> 34 [size =\"45234176\"]\n  32 [size=\"116705280\", alpha=\"0.10\", expect_size=\"35011584\"] \n  32 -> 33 [size =\"35011584\"]\n  32 -> 34 [size =\"35011584\"]\n  33 [size=\"132382720\", alpha=\"0.14\", expect_size=\"39714816\"] \n  33 -> 35 [size =\"39714816\"]\n  33 -> 36 [size =\"39714816\"]\n  33 -> 37 [size =\"39714816\"]\n  34 [size=\"32324267\", alpha=\"0.00\", expect_size=\"9697280\"] \n  34 -> 35 [size =\"9697280\"]\n  34 -> 36 [size =\"9697280\"]\n  35 [size=\"51254613\", alpha=\"0.05\", expect_size=\"15376384\"] \n  35 -> 39 [size =\"15376384\"]\n  35 -> 40 [size =\"15376384\"]\n  36 [size=\"106649600\", alpha=\"0.02\", expect_size=\"31994880\"] \n  36 -> 38 [size =\"31994880\"]\n  36 -> 39 [size =\"31994880\"]\n  36 -> 40 [size =\"31994880\"]\n  37 [size=\"73065813\", alpha=\"0.01\", expect_size=\"21919744\"] \n  37 -> 39 [size =\"21919744\"]\n  37 -> 40 [size =\"21919744\"]\n  38 [size=\"20275200\", alpha=\"0.00\", expect_size=\"6082560\"] \n  38 -> 41 [size =\"6082560\"]\n  39 [size=\"146503680\", alpha=\"0.03\", expect_size=\"43951104\"] \n  39 -> 41 [size =\"43951104\"]\n  40 [size=\"135492267\", alpha=\"0.12\", expect_size=\"40647680\"] \n  40 -> 41 [size =\"40647680\"]\n  40 -> 42 [size =\"40647680\"]\n  41 [size=\"156276053\", alpha=\"0.19\", expect_size=\"46882816\"] \n  41 -> 43 [size =\"46882816\"]\n  41 -> 44 [size =\"46882816\"]\n  42 [size=\"23145813\", alpha=\"0.09\", expect_size=\"6943744\"] \n  42 -> 43 [size =\"6943744\"]\n  43 [size=\"100092587\", alpha=\"0.14\", expect_size=\"30027776\"] \n  43 -> 45 [size =\"30027776\"]\n  43 -> 46 [size =\"30027776\"]\n  44 [size=\"53486933\", alpha=\"0.02\", expect_size=\"16046080\"] \n  44 -> 45 [size =\"16046080\"]\n  44 -> 46 [size =\"16046080\"]\n  45 [size=\"54650880\", alpha=\"0.01\", expect_size=\"16395264\"] \n  45 -> 47 [size =\"16395264\"]\n  45 -> 48 [size =\"16395264\"]\n  46 [size=\"92419413\", alpha=\"0.04\", expect_size=\"27725824\"] \n  46 -> 47 [size =\"27725824\"]\n  47 [size=\"111404373\", alpha=\"0.03\", expect_size=\"33421312\"] \n  47 -> 49 [size =\"33421312\"]\n  47 -> 50 [size =\"33421312\"]\n  48 [size=\"117824853\", alpha=\"0.13\", expect_size=\"35347456\"] \n  48 -> 50 [size =\"35347456\"]\n  49 [size=\"118268587\", alpha=\"0.19\", expect_size=\"35480576\"] \n  50 [size=\"138444800\", alpha=\"0.14\", expect_size=\"41533440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.553.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63512576\", alpha=\"0.15\", expect_size=\"31756288\"] \n  1 -> 5 [size =\"31756288\"]\n  2 [size=\"12187648\", alpha=\"0.11\", expect_size=\"6093824\"] \n  2 -> 5 [size =\"6093824\"]\n  3 [size=\"54982656\", alpha=\"0.04\", expect_size=\"27491328\"] \n  3 -> 5 [size =\"27491328\"]\n  4 [size=\"27908096\", alpha=\"0.13\", expect_size=\"13954048\"] \n  4 -> 5 [size =\"13954048\"]\n  5 [size=\"20619264\", alpha=\"0.17\", expect_size=\"10309632\"] \n  5 -> 6 [size =\"10309632\"]\n  5 -> 7 [size =\"10309632\"]\n  6 [size=\"66033664\", alpha=\"0.13\", expect_size=\"33016832\"] \n  6 -> 8 [size =\"33016832\"]\n  7 [size=\"64139264\", alpha=\"0.18\", expect_size=\"32069632\"] \n  7 -> 8 [size =\"32069632\"]\n  7 -> 9 [size =\"32069632\"]\n  8 [size=\"67602432\", alpha=\"0.12\", expect_size=\"33801216\"] \n  8 -> 10 [size =\"33801216\"]\n  8 -> 11 [size =\"33801216\"]\n  8 -> 12 [size =\"33801216\"]\n  8 -> 13 [size =\"33801216\"]\n  9 [size=\"32573440\", alpha=\"0.19\", expect_size=\"16286720\"] \n  9 -> 10 [size =\"16286720\"]\n  9 -> 11 [size =\"16286720\"]\n  9 -> 13 [size =\"16286720\"]\n  10 [size=\"21305344\", alpha=\"0.01\", expect_size=\"10652672\"] \n  10 -> 14 [size =\"10652672\"]\n  10 -> 15 [size =\"10652672\"]\n  10 -> 16 [size =\"10652672\"]\n  11 [size=\"47376384\", alpha=\"0.13\", expect_size=\"23688192\"] \n  11 -> 15 [size =\"23688192\"]\n  11 -> 16 [size =\"23688192\"]\n  12 [size=\"25788416\", alpha=\"0.19\", expect_size=\"12894208\"] \n  12 -> 16 [size =\"12894208\"]\n  13 [size=\"79611904\", alpha=\"0.09\", expect_size=\"39805952\"] \n  13 -> 16 [size =\"39805952\"]\n  14 [size=\"97949696\", alpha=\"0.01\", expect_size=\"48974848\"] \n  14 -> 17 [size =\"48974848\"]\n  14 -> 18 [size =\"48974848\"]\n  14 -> 20 [size =\"48974848\"]\n  15 [size=\"63928320\", alpha=\"0.13\", expect_size=\"31964160\"] \n  15 -> 17 [size =\"31964160\"]\n  15 -> 18 [size =\"31964160\"]\n  16 [size=\"50595840\", alpha=\"0.04\", expect_size=\"25297920\"] \n  16 -> 17 [size =\"25297920\"]\n  16 -> 18 [size =\"25297920\"]\n  16 -> 19 [size =\"25297920\"]\n  16 -> 20 [size =\"25297920\"]\n  17 [size=\"17506304\", alpha=\"0.09\", expect_size=\"8753152\"] \n  17 -> 21 [size =\"8753152\"]\n  18 [size=\"103428096\", alpha=\"0.02\", expect_size=\"51714048\"] \n  18 -> 21 [size =\"51714048\"]\n  18 -> 22 [size =\"51714048\"]\n  19 [size=\"65316864\", alpha=\"0.14\", expect_size=\"32658432\"] \n  19 -> 21 [size =\"32658432\"]\n  19 -> 22 [size =\"32658432\"]\n  20 [size=\"59555840\", alpha=\"0.17\", expect_size=\"29777920\"] \n  20 -> 22 [size =\"29777920\"]\n  20 -> 22 [size =\"29777920\"]\n  20 -> 23 [size =\"29777920\"]\n  21 [size=\"65687552\", alpha=\"0.10\", expect_size=\"32843776\"] \n  21 -> 24 [size =\"32843776\"]\n  21 -> 25 [size =\"32843776\"]\n  22 [size=\"33574912\", alpha=\"0.04\", expect_size=\"16787456\"] \n  23 [size=\"27033600\", alpha=\"0.08\", expect_size=\"13516800\"] \n  23 -> 24 [size =\"13516800\"]\n  23 -> 25 [size =\"13516800\"]\n  24 [size=\"69076992\", alpha=\"0.15\", expect_size=\"34538496\"] \n  24 -> 26 [size =\"34538496\"]\n  25 [size=\"71780352\", alpha=\"0.04\", expect_size=\"35890176\"] \n  25 -> 26 [size =\"35890176\"]\n  26 [size=\"40067072\", alpha=\"0.05\", expect_size=\"20033536\"] \n  26 -> 27 [size =\"20033536\"]\n  26 -> 28 [size =\"20033536\"]\n  27 [size=\"59019264\", alpha=\"0.18\", expect_size=\"29509632\"] \n  27 -> 29 [size =\"29509632\"]\n  27 -> 30 [size =\"29509632\"]\n  28 [size=\"102330368\", alpha=\"0.02\", expect_size=\"51165184\"] \n  28 -> 29 [size =\"51165184\"]\n  28 -> 30 [size =\"51165184\"]\n  28 -> 31 [size =\"51165184\"]\n  29 [size=\"16138240\", alpha=\"0.12\", expect_size=\"8069120\"] \n  29 -> 32 [size =\"8069120\"]\n  29 -> 33 [size =\"8069120\"]\n  29 -> 34 [size =\"8069120\"]\n  30 [size=\"83001344\", alpha=\"0.03\", expect_size=\"41500672\"] \n  30 -> 32 [size =\"41500672\"]\n  30 -> 33 [size =\"41500672\"]\n  30 -> 34 [size =\"41500672\"]\n  31 [size=\"67045376\", alpha=\"0.03\", expect_size=\"33522688\"] \n  31 -> 32 [size =\"33522688\"]\n  31 -> 33 [size =\"33522688\"]\n  31 -> 34 [size =\"33522688\"]\n  32 [size=\"21297152\", alpha=\"0.05\", expect_size=\"10648576\"] \n  32 -> 35 [size =\"10648576\"]\n  32 -> 38 [size =\"10648576\"]\n  33 [size=\"41832448\", alpha=\"0.02\", expect_size=\"20916224\"] \n  33 -> 35 [size =\"20916224\"]\n  33 -> 36 [size =\"20916224\"]\n  33 -> 37 [size =\"20916224\"]\n  33 -> 38 [size =\"20916224\"]\n  34 [size=\"78776320\", alpha=\"0.18\", expect_size=\"39388160\"] \n  34 -> 35 [size =\"39388160\"]\n  34 -> 36 [size =\"39388160\"]\n  35 [size=\"55179264\", alpha=\"0.05\", expect_size=\"27589632\"] \n  35 -> 39 [size =\"27589632\"]\n  36 [size=\"75546624\", alpha=\"0.01\", expect_size=\"37773312\"] \n  36 -> 40 [size =\"37773312\"]\n  37 [size=\"101056512\", alpha=\"0.18\", expect_size=\"50528256\"] \n  37 -> 39 [size =\"50528256\"]\n  38 [size=\"90994688\", alpha=\"0.15\", expect_size=\"45497344\"] \n  38 -> 39 [size =\"45497344\"]\n  39 [size=\"102479872\", alpha=\"0.03\", expect_size=\"51239936\"] \n  39 -> 42 [size =\"51239936\"]\n  39 -> 43 [size =\"51239936\"]\n  40 [size=\"63225856\", alpha=\"0.02\", expect_size=\"31612928\"] \n  40 -> 41 [size =\"31612928\"]\n  40 -> 42 [size =\"31612928\"]\n  40 -> 43 [size =\"31612928\"]\n  40 -> 44 [size =\"31612928\"]\n  41 [size=\"78428160\", alpha=\"0.13\", expect_size=\"39214080\"] \n  41 -> 46 [size =\"39214080\"]\n  41 -> 47 [size =\"39214080\"]\n  42 [size=\"90607616\", alpha=\"0.08\", expect_size=\"45303808\"] \n  42 -> 45 [size =\"45303808\"]\n  42 -> 46 [size =\"45303808\"]\n  42 -> 47 [size =\"45303808\"]\n  43 [size=\"20695040\", alpha=\"0.07\", expect_size=\"10347520\"] \n  43 -> 46 [size =\"10347520\"]\n  43 -> 47 [size =\"10347520\"]\n  44 [size=\"32190464\", alpha=\"0.18\", expect_size=\"16095232\"] \n  44 -> 46 [size =\"16095232\"]\n  44 -> 47 [size =\"16095232\"]\n  45 [size=\"23810048\", alpha=\"0.03\", expect_size=\"11905024\"] \n  45 -> 48 [size =\"11905024\"]\n  46 [size=\"49002496\", alpha=\"0.13\", expect_size=\"24501248\"] \n  46 -> 48 [size =\"24501248\"]\n  47 [size=\"53506048\", alpha=\"0.14\", expect_size=\"26753024\"] \n  47 -> 48 [size =\"26753024\"]\n  48 [size=\"44341248\", alpha=\"0.14\", expect_size=\"22170624\"] \n  48 -> 49 [size =\"22170624\"]\n  48 -> 50 [size =\"22170624\"]\n  49 [size=\"20082688\", alpha=\"0.16\", expect_size=\"10041344\"] \n  50 [size=\"35559424\", alpha=\"0.13\", expect_size=\"17779712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.554.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52903253\", alpha=\"0.11\", expect_size=\"15870976\"] \n  1 -> 28 [size =\"15870976\"]\n  1 -> 29 [size =\"15870976\"]\n  1 -> 31 [size =\"15870976\"]\n  1 -> 32 [size =\"15870976\"]\n  1 -> 33 [size =\"15870976\"]\n  1 -> 35 [size =\"15870976\"]\n  1 -> 39 [size =\"15870976\"]\n  1 -> 44 [size =\"15870976\"]\n  1 -> 46 [size =\"15870976\"]\n  1 -> 49 [size =\"15870976\"]\n  2 [size=\"156835840\", alpha=\"0.04\", expect_size=\"47050752\"] \n  2 -> 28 [size =\"47050752\"]\n  2 -> 32 [size =\"47050752\"]\n  2 -> 33 [size =\"47050752\"]\n  2 -> 37 [size =\"47050752\"]\n  2 -> 39 [size =\"47050752\"]\n  2 -> 42 [size =\"47050752\"]\n  2 -> 45 [size =\"47050752\"]\n  2 -> 46 [size =\"47050752\"]\n  2 -> 46 [size =\"47050752\"]\n  2 -> 47 [size =\"47050752\"]\n  2 -> 49 [size =\"47050752\"]\n  2 -> 50 [size =\"47050752\"]\n  3 [size=\"139851093\", alpha=\"0.08\", expect_size=\"41955328\"] \n  3 -> 28 [size =\"41955328\"]\n  3 -> 32 [size =\"41955328\"]\n  3 -> 33 [size =\"41955328\"]\n  3 -> 37 [size =\"41955328\"]\n  3 -> 42 [size =\"41955328\"]\n  3 -> 45 [size =\"41955328\"]\n  3 -> 46 [size =\"41955328\"]\n  3 -> 46 [size =\"41955328\"]\n  3 -> 49 [size =\"41955328\"]\n  4 [size=\"172025173\", alpha=\"0.15\", expect_size=\"51607552\"] \n  4 -> 28 [size =\"51607552\"]\n  4 -> 32 [size =\"51607552\"]\n  4 -> 33 [size =\"51607552\"]\n  4 -> 37 [size =\"51607552\"]\n  4 -> 38 [size =\"51607552\"]\n  4 -> 46 [size =\"51607552\"]\n  4 -> 49 [size =\"51607552\"]\n  5 [size=\"62419627\", alpha=\"0.18\", expect_size=\"18725888\"] \n  5 -> 28 [size =\"18725888\"]\n  5 -> 32 [size =\"18725888\"]\n  5 -> 33 [size =\"18725888\"]\n  5 -> 34 [size =\"18725888\"]\n  5 -> 35 [size =\"18725888\"]\n  5 -> 36 [size =\"18725888\"]\n  5 -> 37 [size =\"18725888\"]\n  5 -> 38 [size =\"18725888\"]\n  5 -> 44 [size =\"18725888\"]\n  5 -> 46 [size =\"18725888\"]\n  5 -> 49 [size =\"18725888\"]\n  6 [size=\"163638613\", alpha=\"0.07\", expect_size=\"49091584\"] \n  6 -> 28 [size =\"49091584\"]\n  6 -> 29 [size =\"49091584\"]\n  6 -> 30 [size =\"49091584\"]\n  6 -> 32 [size =\"49091584\"]\n  6 -> 33 [size =\"49091584\"]\n  6 -> 44 [size =\"49091584\"]\n  6 -> 45 [size =\"49091584\"]\n  6 -> 49 [size =\"49091584\"]\n  7 [size=\"164526080\", alpha=\"0.00\", expect_size=\"49357824\"] \n  7 -> 28 [size =\"49357824\"]\n  7 -> 29 [size =\"49357824\"]\n  7 -> 32 [size =\"49357824\"]\n  7 -> 32 [size =\"49357824\"]\n  7 -> 33 [size =\"49357824\"]\n  7 -> 35 [size =\"49357824\"]\n  7 -> 36 [size =\"49357824\"]\n  7 -> 49 [size =\"49357824\"]\n  8 [size=\"111957333\", alpha=\"0.17\", expect_size=\"33587200\"] \n  8 -> 32 [size =\"33587200\"]\n  8 -> 35 [size =\"33587200\"]\n  8 -> 37 [size =\"33587200\"]\n  8 -> 45 [size =\"33587200\"]\n  8 -> 46 [size =\"33587200\"]\n  8 -> 49 [size =\"33587200\"]\n  8 -> 50 [size =\"33587200\"]\n  9 [size=\"22633813\", alpha=\"0.12\", expect_size=\"6790144\"] \n  9 -> 30 [size =\"6790144\"]\n  9 -> 32 [size =\"6790144\"]\n  9 -> 38 [size =\"6790144\"]\n  9 -> 45 [size =\"6790144\"]\n  9 -> 49 [size =\"6790144\"]\n  9 -> 49 [size =\"6790144\"]\n  10 [size=\"114285227\", alpha=\"0.17\", expect_size=\"34285568\"] \n  10 -> 32 [size =\"34285568\"]\n  10 -> 33 [size =\"34285568\"]\n  10 -> 37 [size =\"34285568\"]\n  10 -> 38 [size =\"34285568\"]\n  10 -> 39 [size =\"34285568\"]\n  10 -> 45 [size =\"34285568\"]\n  10 -> 49 [size =\"34285568\"]\n  11 [size=\"131659093\", alpha=\"0.08\", expect_size=\"39497728\"] \n  11 -> 33 [size =\"39497728\"]\n  11 -> 34 [size =\"39497728\"]\n  11 -> 35 [size =\"39497728\"]\n  11 -> 37 [size =\"39497728\"]\n  11 -> 45 [size =\"39497728\"]\n  11 -> 46 [size =\"39497728\"]\n  11 -> 49 [size =\"39497728\"]\n  12 [size=\"62986240\", alpha=\"0.04\", expect_size=\"18895872\"] \n  12 -> 28 [size =\"18895872\"]\n  12 -> 29 [size =\"18895872\"]\n  12 -> 31 [size =\"18895872\"]\n  12 -> 32 [size =\"18895872\"]\n  12 -> 33 [size =\"18895872\"]\n  12 -> 34 [size =\"18895872\"]\n  12 -> 36 [size =\"18895872\"]\n  12 -> 37 [size =\"18895872\"]\n  12 -> 42 [size =\"18895872\"]\n  12 -> 44 [size =\"18895872\"]\n  12 -> 45 [size =\"18895872\"]\n  12 -> 46 [size =\"18895872\"]\n  12 -> 49 [size =\"18895872\"]\n  13 [size=\"92320427\", alpha=\"0.13\", expect_size=\"27696128\"] \n  13 -> 28 [size =\"27696128\"]\n  13 -> 31 [size =\"27696128\"]\n  13 -> 34 [size =\"27696128\"]\n  13 -> 36 [size =\"27696128\"]\n  13 -> 37 [size =\"27696128\"]\n  13 -> 46 [size =\"27696128\"]\n  14 [size=\"156081493\", alpha=\"0.15\", expect_size=\"46824448\"] \n  14 -> 29 [size =\"46824448\"]\n  14 -> 33 [size =\"46824448\"]\n  14 -> 34 [size =\"46824448\"]\n  14 -> 35 [size =\"46824448\"]\n  14 -> 36 [size =\"46824448\"]\n  14 -> 37 [size =\"46824448\"]\n  14 -> 45 [size =\"46824448\"]\n  14 -> 50 [size =\"46824448\"]\n  15 [size=\"115080533\", alpha=\"0.18\", expect_size=\"34524160\"] \n  15 -> 33 [size =\"34524160\"]\n  15 -> 34 [size =\"34524160\"]\n  15 -> 36 [size =\"34524160\"]\n  15 -> 37 [size =\"34524160\"]\n  15 -> 38 [size =\"34524160\"]\n  15 -> 43 [size =\"34524160\"]\n  15 -> 46 [size =\"34524160\"]\n  15 -> 49 [size =\"34524160\"]\n  16 [size=\"98184533\", alpha=\"0.13\", expect_size=\"29455360\"] \n  16 -> 28 [size =\"29455360\"]\n  16 -> 29 [size =\"29455360\"]\n  16 -> 31 [size =\"29455360\"]\n  16 -> 36 [size =\"29455360\"]\n  16 -> 37 [size =\"29455360\"]\n  16 -> 38 [size =\"29455360\"]\n  16 -> 46 [size =\"29455360\"]\n  16 -> 49 [size =\"29455360\"]\n  17 [size=\"153603413\", alpha=\"0.18\", expect_size=\"46081024\"] \n  17 -> 28 [size =\"46081024\"]\n  17 -> 31 [size =\"46081024\"]\n  17 -> 32 [size =\"46081024\"]\n  17 -> 34 [size =\"46081024\"]\n  17 -> 37 [size =\"46081024\"]\n  17 -> 38 [size =\"46081024\"]\n  17 -> 39 [size =\"46081024\"]\n  17 -> 41 [size =\"46081024\"]\n  17 -> 42 [size =\"46081024\"]\n  17 -> 44 [size =\"46081024\"]\n  17 -> 45 [size =\"46081024\"]\n  17 -> 46 [size =\"46081024\"]\n  17 -> 48 [size =\"46081024\"]\n  17 -> 49 [size =\"46081024\"]\n  17 -> 50 [size =\"46081024\"]\n  18 [size=\"155183787\", alpha=\"0.02\", expect_size=\"46555136\"] \n  18 -> 28 [size =\"46555136\"]\n  18 -> 30 [size =\"46555136\"]\n  18 -> 32 [size =\"46555136\"]\n  18 -> 35 [size =\"46555136\"]\n  18 -> 36 [size =\"46555136\"]\n  18 -> 37 [size =\"46555136\"]\n  18 -> 38 [size =\"46555136\"]\n  18 -> 41 [size =\"46555136\"]\n  18 -> 44 [size =\"46555136\"]\n  18 -> 45 [size =\"46555136\"]\n  18 -> 46 [size =\"46555136\"]\n  18 -> 50 [size =\"46555136\"]\n  19 [size=\"130348373\", alpha=\"0.05\", expect_size=\"39104512\"] \n  19 -> 28 [size =\"39104512\"]\n  19 -> 32 [size =\"39104512\"]\n  19 -> 33 [size =\"39104512\"]\n  19 -> 34 [size =\"39104512\"]\n  19 -> 37 [size =\"39104512\"]\n  19 -> 37 [size =\"39104512\"]\n  19 -> 38 [size =\"39104512\"]\n  19 -> 42 [size =\"39104512\"]\n  19 -> 43 [size =\"39104512\"]\n  19 -> 50 [size =\"39104512\"]\n  20 [size=\"70055253\", alpha=\"0.09\", expect_size=\"21016576\"] \n  20 -> 28 [size =\"21016576\"]\n  20 -> 29 [size =\"21016576\"]\n  20 -> 33 [size =\"21016576\"]\n  20 -> 36 [size =\"21016576\"]\n  20 -> 37 [size =\"21016576\"]\n  20 -> 38 [size =\"21016576\"]\n  21 [size=\"42635947\", alpha=\"0.17\", expect_size=\"12790784\"] \n  21 -> 28 [size =\"12790784\"]\n  21 -> 29 [size =\"12790784\"]\n  21 -> 33 [size =\"12790784\"]\n  21 -> 35 [size =\"12790784\"]\n  21 -> 37 [size =\"12790784\"]\n  22 [size=\"105659733\", alpha=\"0.03\", expect_size=\"31697920\"] \n  22 -> 29 [size =\"31697920\"]\n  22 -> 29 [size =\"31697920\"]\n  22 -> 30 [size =\"31697920\"]\n  22 -> 32 [size =\"31697920\"]\n  22 -> 33 [size =\"31697920\"]\n  22 -> 35 [size =\"31697920\"]\n  22 -> 36 [size =\"31697920\"]\n  22 -> 37 [size =\"31697920\"]\n  22 -> 38 [size =\"31697920\"]\n  22 -> 40 [size =\"31697920\"]\n  22 -> 44 [size =\"31697920\"]\n  22 -> 45 [size =\"31697920\"]\n  22 -> 46 [size =\"31697920\"]\n  22 -> 49 [size =\"31697920\"]\n  22 -> 50 [size =\"31697920\"]\n  23 [size=\"133601280\", alpha=\"0.04\", expect_size=\"40080384\"] \n  23 -> 29 [size =\"40080384\"]\n  23 -> 32 [size =\"40080384\"]\n  23 -> 33 [size =\"40080384\"]\n  23 -> 35 [size =\"40080384\"]\n  23 -> 36 [size =\"40080384\"]\n  23 -> 38 [size =\"40080384\"]\n  23 -> 43 [size =\"40080384\"]\n  23 -> 45 [size =\"40080384\"]\n  23 -> 49 [size =\"40080384\"]\n  24 [size=\"75103573\", alpha=\"0.06\", expect_size=\"22531072\"] \n  24 -> 28 [size =\"22531072\"]\n  24 -> 32 [size =\"22531072\"]\n  24 -> 33 [size =\"22531072\"]\n  24 -> 36 [size =\"22531072\"]\n  24 -> 41 [size =\"22531072\"]\n  24 -> 42 [size =\"22531072\"]\n  24 -> 44 [size =\"22531072\"]\n  24 -> 45 [size =\"22531072\"]\n  24 -> 49 [size =\"22531072\"]\n  25 [size=\"36082347\", alpha=\"0.12\", expect_size=\"10824704\"] \n  25 -> 28 [size =\"10824704\"]\n  25 -> 32 [size =\"10824704\"]\n  25 -> 37 [size =\"10824704\"]\n  25 -> 38 [size =\"10824704\"]\n  25 -> 41 [size =\"10824704\"]\n  25 -> 44 [size =\"10824704\"]\n  25 -> 49 [size =\"10824704\"]\n  26 [size=\"23005867\", alpha=\"0.18\", expect_size=\"6901760\"] \n  26 -> 31 [size =\"6901760\"]\n  26 -> 32 [size =\"6901760\"]\n  26 -> 33 [size =\"6901760\"]\n  26 -> 37 [size =\"6901760\"]\n  26 -> 38 [size =\"6901760\"]\n  26 -> 42 [size =\"6901760\"]\n  26 -> 44 [size =\"6901760\"]\n  26 -> 46 [size =\"6901760\"]\n  26 -> 49 [size =\"6901760\"]\n  27 [size=\"124119040\", alpha=\"0.02\", expect_size=\"37235712\"] \n  27 -> 29 [size =\"37235712\"]\n  27 -> 32 [size =\"37235712\"]\n  27 -> 33 [size =\"37235712\"]\n  27 -> 35 [size =\"37235712\"]\n  27 -> 36 [size =\"37235712\"]\n  27 -> 44 [size =\"37235712\"]\n  27 -> 46 [size =\"37235712\"]\n  27 -> 46 [size =\"37235712\"]\n  27 -> 49 [size =\"37235712\"]\n  28 [size=\"110865067\", alpha=\"0.18\", expect_size=\"33259520\"] \n  29 [size=\"128259413\", alpha=\"0.15\", expect_size=\"38477824\"] \n  30 [size=\"168246613\", alpha=\"0.04\", expect_size=\"50473984\"] \n  31 [size=\"80128000\", alpha=\"0.08\", expect_size=\"24038400\"] \n  32 [size=\"56623787\", alpha=\"0.17\", expect_size=\"16987136\"] \n  33 [size=\"79807147\", alpha=\"0.16\", expect_size=\"23942144\"] \n  34 [size=\"114763093\", alpha=\"0.13\", expect_size=\"34428928\"] \n  35 [size=\"158760960\", alpha=\"0.02\", expect_size=\"47628288\"] \n  36 [size=\"99461120\", alpha=\"0.01\", expect_size=\"29838336\"] \n  37 [size=\"83019093\", alpha=\"0.18\", expect_size=\"24905728\"] \n  38 [size=\"99205120\", alpha=\"0.12\", expect_size=\"29761536\"] \n  39 [size=\"85217280\", alpha=\"0.00\", expect_size=\"25565184\"] \n  40 [size=\"46209707\", alpha=\"0.15\", expect_size=\"13862912\"] \n  41 [size=\"78994773\", alpha=\"0.13\", expect_size=\"23698432\"] \n  42 [size=\"140472320\", alpha=\"0.03\", expect_size=\"42141696\"] \n  43 [size=\"118865920\", alpha=\"0.07\", expect_size=\"35659776\"] \n  44 [size=\"89019733\", alpha=\"0.19\", expect_size=\"26705920\"] \n  45 [size=\"32256000\", alpha=\"0.13\", expect_size=\"9676800\"] \n  46 [size=\"46175573\", alpha=\"0.08\", expect_size=\"13852672\"] \n  47 [size=\"54210560\", alpha=\"0.16\", expect_size=\"16263168\"] \n  48 [size=\"35194880\", alpha=\"0.16\", expect_size=\"10558464\"] \n  49 [size=\"126839467\", alpha=\"0.10\", expect_size=\"38051840\"] \n  50 [size=\"127447040\", alpha=\"0.04\", expect_size=\"38234112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.555.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72261120\", alpha=\"0.04\", expect_size=\"28904448\"] \n  1 -> 2 [size =\"28904448\"]\n  2 [size=\"87380480\", alpha=\"0.02\", expect_size=\"34952192\"] \n  2 -> 3 [size =\"34952192\"]\n  3 [size=\"62755840\", alpha=\"0.16\", expect_size=\"25102336\"] \n  3 -> 4 [size =\"25102336\"]\n  4 [size=\"110807040\", alpha=\"0.17\", expect_size=\"44322816\"] \n  4 -> 5 [size =\"44322816\"]\n  5 [size=\"15664640\", alpha=\"0.11\", expect_size=\"6265856\"] \n  5 -> 6 [size =\"6265856\"]\n  6 [size=\"101918720\", alpha=\"0.06\", expect_size=\"40767488\"] \n  6 -> 7 [size =\"40767488\"]\n  7 [size=\"113006080\", alpha=\"0.14\", expect_size=\"45202432\"] \n  7 -> 8 [size =\"45202432\"]\n  8 [size=\"89612800\", alpha=\"0.02\", expect_size=\"35845120\"] \n  8 -> 9 [size =\"35845120\"]\n  9 [size=\"46364160\", alpha=\"0.06\", expect_size=\"18545664\"] \n  9 -> 10 [size =\"18545664\"]\n  10 [size=\"67822080\", alpha=\"0.14\", expect_size=\"27128832\"] \n  10 -> 11 [size =\"27128832\"]\n  11 [size=\"126013440\", alpha=\"0.05\", expect_size=\"50405376\"] \n  11 -> 12 [size =\"50405376\"]\n  12 [size=\"29975040\", alpha=\"0.11\", expect_size=\"11990016\"] \n  12 -> 13 [size =\"11990016\"]\n  13 [size=\"39191040\", alpha=\"0.00\", expect_size=\"15676416\"] \n  13 -> 14 [size =\"15676416\"]\n  14 [size=\"17799680\", alpha=\"0.11\", expect_size=\"7119872\"] \n  14 -> 15 [size =\"7119872\"]\n  15 [size=\"119833600\", alpha=\"0.00\", expect_size=\"47933440\"] \n  15 -> 16 [size =\"47933440\"]\n  16 [size=\"66403840\", alpha=\"0.05\", expect_size=\"26561536\"] \n  16 -> 17 [size =\"26561536\"]\n  17 [size=\"99548160\", alpha=\"0.08\", expect_size=\"39819264\"] \n  17 -> 18 [size =\"39819264\"]\n  18 [size=\"65748480\", alpha=\"0.17\", expect_size=\"26299392\"] \n  18 -> 19 [size =\"26299392\"]\n  19 [size=\"79810560\", alpha=\"0.10\", expect_size=\"31924224\"] \n  19 -> 20 [size =\"31924224\"]\n  20 [size=\"114211840\", alpha=\"0.16\", expect_size=\"45684736\"] \n  20 -> 21 [size =\"45684736\"]\n  21 [size=\"78067200\", alpha=\"0.12\", expect_size=\"31226880\"] \n  21 -> 22 [size =\"31226880\"]\n  22 [size=\"108346880\", alpha=\"0.01\", expect_size=\"43338752\"] \n  22 -> 23 [size =\"43338752\"]\n  23 [size=\"54653440\", alpha=\"0.18\", expect_size=\"21861376\"] \n  23 -> 24 [size =\"21861376\"]\n  24 [size=\"55646720\", alpha=\"0.12\", expect_size=\"22258688\"] \n  24 -> 25 [size =\"22258688\"]\n  25 [size=\"119948800\", alpha=\"0.06\", expect_size=\"47979520\"] \n  25 -> 26 [size =\"47979520\"]\n  26 [size=\"120857600\", alpha=\"0.15\", expect_size=\"48343040\"] \n  26 -> 27 [size =\"48343040\"]\n  27 [size=\"34211840\", alpha=\"0.01\", expect_size=\"13684736\"] \n  27 -> 28 [size =\"13684736\"]\n  28 [size=\"80752640\", alpha=\"0.00\", expect_size=\"32301056\"] \n  28 -> 29 [size =\"32301056\"]\n  29 [size=\"61130240\", alpha=\"0.05\", expect_size=\"24452096\"] \n  29 -> 30 [size =\"24452096\"]\n  30 [size=\"118184960\", alpha=\"0.19\", expect_size=\"47273984\"] \n  30 -> 31 [size =\"47273984\"]\n  31 [size=\"93294080\", alpha=\"0.12\", expect_size=\"37317632\"] \n  31 -> 32 [size =\"37317632\"]\n  32 [size=\"45614080\", alpha=\"0.08\", expect_size=\"18245632\"] \n  32 -> 33 [size =\"18245632\"]\n  33 [size=\"49415680\", alpha=\"0.09\", expect_size=\"19766272\"] \n  33 -> 34 [size =\"19766272\"]\n  34 [size=\"36390400\", alpha=\"0.10\", expect_size=\"14556160\"] \n  34 -> 35 [size =\"14556160\"]\n  35 [size=\"104232960\", alpha=\"0.09\", expect_size=\"41693184\"] \n  35 -> 36 [size =\"41693184\"]\n  36 [size=\"19576320\", alpha=\"0.17\", expect_size=\"7830528\"] \n  36 -> 37 [size =\"7830528\"]\n  37 [size=\"107161600\", alpha=\"0.01\", expect_size=\"42864640\"] \n  37 -> 38 [size =\"42864640\"]\n  38 [size=\"113000960\", alpha=\"0.12\", expect_size=\"45200384\"] \n  38 -> 39 [size =\"45200384\"]\n  39 [size=\"113594880\", alpha=\"0.16\", expect_size=\"45437952\"] \n  39 -> 40 [size =\"45437952\"]\n  40 [size=\"24240640\", alpha=\"0.16\", expect_size=\"9696256\"] \n  40 -> 41 [size =\"9696256\"]\n  41 [size=\"17617920\", alpha=\"0.08\", expect_size=\"7047168\"] \n  41 -> 42 [size =\"7047168\"]\n  42 [size=\"88668160\", alpha=\"0.15\", expect_size=\"35467264\"] \n  42 -> 43 [size =\"35467264\"]\n  43 [size=\"18332160\", alpha=\"0.10\", expect_size=\"7332864\"] \n  43 -> 44 [size =\"7332864\"]\n  44 [size=\"68625920\", alpha=\"0.12\", expect_size=\"27450368\"] \n  44 -> 45 [size =\"27450368\"]\n  45 [size=\"126277120\", alpha=\"0.12\", expect_size=\"50510848\"] \n  45 -> 46 [size =\"50510848\"]\n  46 [size=\"62080000\", alpha=\"0.10\", expect_size=\"24832000\"] \n  46 -> 47 [size =\"24832000\"]\n  47 [size=\"47301120\", alpha=\"0.12\", expect_size=\"18920448\"] \n  47 -> 48 [size =\"18920448\"]\n  48 [size=\"50419200\", alpha=\"0.05\", expect_size=\"20167680\"] \n  48 -> 49 [size =\"20167680\"]\n  49 [size=\"124072960\", alpha=\"0.06\", expect_size=\"49629184\"] \n  49 -> 50 [size =\"49629184\"]\n  50 [size=\"99036160\", alpha=\"0.05\", expect_size=\"39614464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.556.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79929344\", alpha=\"0.12\", expect_size=\"39964672\"] \n  1 -> 14 [size =\"39964672\"]\n  1 -> 16 [size =\"39964672\"]\n  1 -> 17 [size =\"39964672\"]\n  2 [size=\"25989120\", alpha=\"0.07\", expect_size=\"12994560\"] \n  2 -> 8 [size =\"12994560\"]\n  2 -> 9 [size =\"12994560\"]\n  2 -> 10 [size =\"12994560\"]\n  2 -> 11 [size =\"12994560\"]\n  2 -> 12 [size =\"12994560\"]\n  2 -> 16 [size =\"12994560\"]\n  2 -> 17 [size =\"12994560\"]\n  3 [size=\"100681728\", alpha=\"0.03\", expect_size=\"50340864\"] \n  3 -> 9 [size =\"50340864\"]\n  3 -> 12 [size =\"50340864\"]\n  3 -> 13 [size =\"50340864\"]\n  3 -> 14 [size =\"50340864\"]\n  3 -> 15 [size =\"50340864\"]\n  3 -> 17 [size =\"50340864\"]\n  3 -> 17 [size =\"50340864\"]\n  4 [size=\"57827328\", alpha=\"0.09\", expect_size=\"28913664\"] \n  4 -> 11 [size =\"28913664\"]\n  4 -> 15 [size =\"28913664\"]\n  4 -> 17 [size =\"28913664\"]\n  5 [size=\"39229440\", alpha=\"0.04\", expect_size=\"19614720\"] \n  5 -> 8 [size =\"19614720\"]\n  5 -> 9 [size =\"19614720\"]\n  5 -> 10 [size =\"19614720\"]\n  5 -> 11 [size =\"19614720\"]\n  5 -> 14 [size =\"19614720\"]\n  5 -> 16 [size =\"19614720\"]\n  6 [size=\"26157056\", alpha=\"0.16\", expect_size=\"13078528\"] \n  6 -> 9 [size =\"13078528\"]\n  6 -> 11 [size =\"13078528\"]\n  6 -> 12 [size =\"13078528\"]\n  7 [size=\"60434432\", alpha=\"0.07\", expect_size=\"30217216\"] \n  7 -> 11 [size =\"30217216\"]\n  7 -> 14 [size =\"30217216\"]\n  7 -> 15 [size =\"30217216\"]\n  8 [size=\"33556480\", alpha=\"0.03\", expect_size=\"16778240\"] \n  8 -> 21 [size =\"16778240\"]\n  8 -> 24 [size =\"16778240\"]\n  8 -> 26 [size =\"16778240\"]\n  8 -> 28 [size =\"16778240\"]\n  8 -> 29 [size =\"16778240\"]\n  8 -> 30 [size =\"16778240\"]\n  8 -> 32 [size =\"16778240\"]\n  8 -> 33 [size =\"16778240\"]\n  9 [size=\"18591744\", alpha=\"0.05\", expect_size=\"9295872\"] \n  9 -> 19 [size =\"9295872\"]\n  9 -> 20 [size =\"9295872\"]\n  9 -> 21 [size =\"9295872\"]\n  9 -> 24 [size =\"9295872\"]\n  9 -> 26 [size =\"9295872\"]\n  9 -> 28 [size =\"9295872\"]\n  9 -> 32 [size =\"9295872\"]\n  10 [size=\"18739200\", alpha=\"0.00\", expect_size=\"9369600\"] \n  10 -> 19 [size =\"9369600\"]\n  10 -> 24 [size =\"9369600\"]\n  10 -> 25 [size =\"9369600\"]\n  10 -> 28 [size =\"9369600\"]\n  10 -> 35 [size =\"9369600\"]\n  11 [size=\"82567168\", alpha=\"0.00\", expect_size=\"41283584\"] \n  11 -> 19 [size =\"41283584\"]\n  11 -> 24 [size =\"41283584\"]\n  11 -> 25 [size =\"41283584\"]\n  11 -> 28 [size =\"41283584\"]\n  11 -> 31 [size =\"41283584\"]\n  11 -> 32 [size =\"41283584\"]\n  11 -> 33 [size =\"41283584\"]\n  12 [size=\"43210752\", alpha=\"0.06\", expect_size=\"21605376\"] \n  12 -> 18 [size =\"21605376\"]\n  12 -> 19 [size =\"21605376\"]\n  12 -> 22 [size =\"21605376\"]\n  12 -> 24 [size =\"21605376\"]\n  12 -> 25 [size =\"21605376\"]\n  12 -> 28 [size =\"21605376\"]\n  12 -> 31 [size =\"21605376\"]\n  12 -> 32 [size =\"21605376\"]\n  12 -> 34 [size =\"21605376\"]\n  13 [size=\"78585856\", alpha=\"0.12\", expect_size=\"39292928\"] \n  13 -> 19 [size =\"39292928\"]\n  13 -> 20 [size =\"39292928\"]\n  13 -> 23 [size =\"39292928\"]\n  13 -> 31 [size =\"39292928\"]\n  13 -> 32 [size =\"39292928\"]\n  14 [size=\"91017216\", alpha=\"0.07\", expect_size=\"45508608\"] \n  14 -> 19 [size =\"45508608\"]\n  14 -> 20 [size =\"45508608\"]\n  14 -> 23 [size =\"45508608\"]\n  14 -> 26 [size =\"45508608\"]\n  14 -> 28 [size =\"45508608\"]\n  14 -> 31 [size =\"45508608\"]\n  15 [size=\"40509440\", alpha=\"0.12\", expect_size=\"20254720\"] \n  15 -> 24 [size =\"20254720\"]\n  15 -> 25 [size =\"20254720\"]\n  15 -> 35 [size =\"20254720\"]\n  16 [size=\"58857472\", alpha=\"0.18\", expect_size=\"29428736\"] \n  16 -> 26 [size =\"29428736\"]\n  16 -> 28 [size =\"29428736\"]\n  16 -> 33 [size =\"29428736\"]\n  16 -> 35 [size =\"29428736\"]\n  17 [size=\"39710720\", alpha=\"0.18\", expect_size=\"19855360\"] \n  17 -> 18 [size =\"19855360\"]\n  17 -> 19 [size =\"19855360\"]\n  17 -> 23 [size =\"19855360\"]\n  17 -> 25 [size =\"19855360\"]\n  17 -> 26 [size =\"19855360\"]\n  17 -> 27 [size =\"19855360\"]\n  17 -> 32 [size =\"19855360\"]\n  17 -> 33 [size =\"19855360\"]\n  17 -> 35 [size =\"19855360\"]\n  18 [size=\"72448000\", alpha=\"0.19\", expect_size=\"36224000\"] \n  18 -> 36 [size =\"36224000\"]\n  18 -> 38 [size =\"36224000\"]\n  18 -> 41 [size =\"36224000\"]\n  18 -> 42 [size =\"36224000\"]\n  18 -> 43 [size =\"36224000\"]\n  18 -> 44 [size =\"36224000\"]\n  18 -> 49 [size =\"36224000\"]\n  18 -> 50 [size =\"36224000\"]\n  19 [size=\"84367360\", alpha=\"0.13\", expect_size=\"42183680\"] \n  19 -> 37 [size =\"42183680\"]\n  19 -> 40 [size =\"42183680\"]\n  19 -> 41 [size =\"42183680\"]\n  19 -> 42 [size =\"42183680\"]\n  19 -> 43 [size =\"42183680\"]\n  19 -> 45 [size =\"42183680\"]\n  19 -> 49 [size =\"42183680\"]\n  20 [size=\"15679488\", alpha=\"0.11\", expect_size=\"7839744\"] \n  20 -> 40 [size =\"7839744\"]\n  20 -> 41 [size =\"7839744\"]\n  20 -> 43 [size =\"7839744\"]\n  20 -> 44 [size =\"7839744\"]\n  20 -> 49 [size =\"7839744\"]\n  21 [size=\"16832512\", alpha=\"0.03\", expect_size=\"8416256\"] \n  21 -> 37 [size =\"8416256\"]\n  21 -> 38 [size =\"8416256\"]\n  21 -> 40 [size =\"8416256\"]\n  21 -> 41 [size =\"8416256\"]\n  21 -> 43 [size =\"8416256\"]\n  21 -> 45 [size =\"8416256\"]\n  21 -> 50 [size =\"8416256\"]\n  22 [size=\"17242112\", alpha=\"0.18\", expect_size=\"8621056\"] \n  22 -> 36 [size =\"8621056\"]\n  22 -> 37 [size =\"8621056\"]\n  22 -> 40 [size =\"8621056\"]\n  22 -> 41 [size =\"8621056\"]\n  22 -> 43 [size =\"8621056\"]\n  22 -> 44 [size =\"8621056\"]\n  22 -> 45 [size =\"8621056\"]\n  23 [size=\"46721024\", alpha=\"0.13\", expect_size=\"23360512\"] \n  23 -> 36 [size =\"23360512\"]\n  23 -> 37 [size =\"23360512\"]\n  23 -> 38 [size =\"23360512\"]\n  23 -> 40 [size =\"23360512\"]\n  23 -> 43 [size =\"23360512\"]\n  23 -> 45 [size =\"23360512\"]\n  23 -> 49 [size =\"23360512\"]\n  24 [size=\"104062976\", alpha=\"0.18\", expect_size=\"52031488\"] \n  24 -> 38 [size =\"52031488\"]\n  24 -> 43 [size =\"52031488\"]\n  24 -> 48 [size =\"52031488\"]\n  24 -> 49 [size =\"52031488\"]\n  24 -> 50 [size =\"52031488\"]\n  25 [size=\"43227136\", alpha=\"0.08\", expect_size=\"21613568\"] \n  25 -> 36 [size =\"21613568\"]\n  25 -> 38 [size =\"21613568\"]\n  25 -> 40 [size =\"21613568\"]\n  25 -> 43 [size =\"21613568\"]\n  25 -> 44 [size =\"21613568\"]\n  25 -> 49 [size =\"21613568\"]\n  25 -> 50 [size =\"21613568\"]\n  26 [size=\"100880384\", alpha=\"0.02\", expect_size=\"50440192\"] \n  26 -> 36 [size =\"50440192\"]\n  26 -> 39 [size =\"50440192\"]\n  26 -> 45 [size =\"50440192\"]\n  26 -> 47 [size =\"50440192\"]\n  26 -> 50 [size =\"50440192\"]\n  27 [size=\"92735488\", alpha=\"0.07\", expect_size=\"46367744\"] \n  27 -> 36 [size =\"46367744\"]\n  27 -> 40 [size =\"46367744\"]\n  27 -> 43 [size =\"46367744\"]\n  27 -> 45 [size =\"46367744\"]\n  27 -> 46 [size =\"46367744\"]\n  27 -> 47 [size =\"46367744\"]\n  28 [size=\"81158144\", alpha=\"0.16\", expect_size=\"40579072\"] \n  28 -> 36 [size =\"40579072\"]\n  28 -> 42 [size =\"40579072\"]\n  28 -> 44 [size =\"40579072\"]\n  29 [size=\"78125056\", alpha=\"0.08\", expect_size=\"39062528\"] \n  29 -> 36 [size =\"39062528\"]\n  29 -> 37 [size =\"39062528\"]\n  29 -> 43 [size =\"39062528\"]\n  29 -> 44 [size =\"39062528\"]\n  30 [size=\"46342144\", alpha=\"0.01\", expect_size=\"23171072\"] \n  30 -> 36 [size =\"23171072\"]\n  30 -> 41 [size =\"23171072\"]\n  30 -> 44 [size =\"23171072\"]\n  30 -> 44 [size =\"23171072\"]\n  30 -> 45 [size =\"23171072\"]\n  30 -> 49 [size =\"23171072\"]\n  30 -> 50 [size =\"23171072\"]\n  31 [size=\"96964608\", alpha=\"0.09\", expect_size=\"48482304\"] \n  31 -> 36 [size =\"48482304\"]\n  31 -> 44 [size =\"48482304\"]\n  31 -> 49 [size =\"48482304\"]\n  32 [size=\"16326656\", alpha=\"0.04\", expect_size=\"8163328\"] \n  32 -> 36 [size =\"8163328\"]\n  32 -> 46 [size =\"8163328\"]\n  33 [size=\"103043072\", alpha=\"0.14\", expect_size=\"51521536\"] \n  33 -> 36 [size =\"51521536\"]\n  33 -> 38 [size =\"51521536\"]\n  33 -> 44 [size =\"51521536\"]\n  33 -> 50 [size =\"51521536\"]\n  34 [size=\"69826560\", alpha=\"0.00\", expect_size=\"34913280\"] \n  34 -> 36 [size =\"34913280\"]\n  34 -> 40 [size =\"34913280\"]\n  34 -> 41 [size =\"34913280\"]\n  34 -> 46 [size =\"34913280\"]\n  34 -> 50 [size =\"34913280\"]\n  35 [size=\"58390528\", alpha=\"0.13\", expect_size=\"29195264\"] \n  35 -> 41 [size =\"29195264\"]\n  35 -> 43 [size =\"29195264\"]\n  36 [size=\"97478656\", alpha=\"0.17\", expect_size=\"48739328\"] \n  37 [size=\"14020608\", alpha=\"0.06\", expect_size=\"7010304\"] \n  38 [size=\"46708736\", alpha=\"0.09\", expect_size=\"23354368\"] \n  39 [size=\"29872128\", alpha=\"0.07\", expect_size=\"14936064\"] \n  40 [size=\"65988608\", alpha=\"0.06\", expect_size=\"32994304\"] \n  41 [size=\"68941824\", alpha=\"0.07\", expect_size=\"34470912\"] \n  42 [size=\"16443392\", alpha=\"0.09\", expect_size=\"8221696\"] \n  43 [size=\"35588096\", alpha=\"0.19\", expect_size=\"17794048\"] \n  44 [size=\"100108288\", alpha=\"0.09\", expect_size=\"50054144\"] \n  45 [size=\"101789696\", alpha=\"0.05\", expect_size=\"50894848\"] \n  46 [size=\"70658048\", alpha=\"0.01\", expect_size=\"35329024\"] \n  47 [size=\"55087104\", alpha=\"0.14\", expect_size=\"27543552\"] \n  48 [size=\"84303872\", alpha=\"0.03\", expect_size=\"42151936\"] \n  49 [size=\"31524864\", alpha=\"0.05\", expect_size=\"15762432\"] \n  50 [size=\"65009664\", alpha=\"0.15\", expect_size=\"32504832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.557.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81442133\", alpha=\"0.14\", expect_size=\"24432640\"] \n  1 -> 4 [size =\"24432640\"]\n  1 -> 5 [size =\"24432640\"]\n  2 [size=\"65798827\", alpha=\"0.10\", expect_size=\"19739648\"] \n  2 -> 4 [size =\"19739648\"]\n  2 -> 5 [size =\"19739648\"]\n  3 [size=\"99003733\", alpha=\"0.16\", expect_size=\"29701120\"] \n  4 [size=\"96907947\", alpha=\"0.16\", expect_size=\"29072384\"] \n  4 -> 6 [size =\"29072384\"]\n  4 -> 7 [size =\"29072384\"]\n  5 [size=\"151149227\", alpha=\"0.08\", expect_size=\"45344768\"] \n  6 [size=\"61975893\", alpha=\"0.14\", expect_size=\"18592768\"] \n  6 -> 9 [size =\"18592768\"]\n  7 [size=\"127723520\", alpha=\"0.13\", expect_size=\"38317056\"] \n  7 -> 8 [size =\"38317056\"]\n  7 -> 9 [size =\"38317056\"]\n  8 [size=\"146234027\", alpha=\"0.15\", expect_size=\"43870208\"] \n  8 -> 10 [size =\"43870208\"]\n  8 -> 12 [size =\"43870208\"]\n  9 [size=\"103632213\", alpha=\"0.18\", expect_size=\"31089664\"] \n  9 -> 11 [size =\"31089664\"]\n  10 [size=\"147940693\", alpha=\"0.18\", expect_size=\"44382208\"] \n  10 -> 14 [size =\"44382208\"]\n  11 [size=\"60569600\", alpha=\"0.07\", expect_size=\"18170880\"] \n  11 -> 13 [size =\"18170880\"]\n  12 [size=\"171004587\", alpha=\"0.01\", expect_size=\"51301376\"] \n  12 -> 13 [size =\"51301376\"]\n  13 [size=\"93204480\", alpha=\"0.06\", expect_size=\"27961344\"] \n  13 -> 15 [size =\"27961344\"]\n  14 [size=\"64467627\", alpha=\"0.06\", expect_size=\"19340288\"] \n  14 -> 15 [size =\"19340288\"]\n  14 -> 16 [size =\"19340288\"]\n  15 [size=\"36177920\", alpha=\"0.12\", expect_size=\"10853376\"] \n  15 -> 17 [size =\"10853376\"]\n  16 [size=\"102666240\", alpha=\"0.04\", expect_size=\"30799872\"] \n  16 -> 17 [size =\"30799872\"]\n  16 -> 18 [size =\"30799872\"]\n  17 [size=\"51640320\", alpha=\"0.07\", expect_size=\"15492096\"] \n  17 -> 19 [size =\"15492096\"]\n  17 -> 20 [size =\"15492096\"]\n  18 [size=\"153668267\", alpha=\"0.09\", expect_size=\"46100480\"] \n  18 -> 20 [size =\"46100480\"]\n  19 [size=\"114691413\", alpha=\"0.09\", expect_size=\"34407424\"] \n  19 -> 21 [size =\"34407424\"]\n  19 -> 23 [size =\"34407424\"]\n  20 [size=\"101840213\", alpha=\"0.20\", expect_size=\"30552064\"] \n  20 -> 21 [size =\"30552064\"]\n  20 -> 22 [size =\"30552064\"]\n  21 [size=\"87104853\", alpha=\"0.19\", expect_size=\"26131456\"] \n  21 -> 24 [size =\"26131456\"]\n  21 -> 25 [size =\"26131456\"]\n  22 [size=\"140523520\", alpha=\"0.05\", expect_size=\"42157056\"] \n  22 -> 24 [size =\"42157056\"]\n  22 -> 26 [size =\"42157056\"]\n  23 [size=\"147008853\", alpha=\"0.00\", expect_size=\"44102656\"] \n  24 [size=\"38635520\", alpha=\"0.06\", expect_size=\"11590656\"] \n  24 -> 27 [size =\"11590656\"]\n  24 -> 28 [size =\"11590656\"]\n  25 [size=\"85715627\", alpha=\"0.09\", expect_size=\"25714688\"] \n  26 [size=\"23524693\", alpha=\"0.18\", expect_size=\"7057408\"] \n  26 -> 27 [size =\"7057408\"]\n  27 [size=\"57408853\", alpha=\"0.00\", expect_size=\"17222656\"] \n  27 -> 29 [size =\"17222656\"]\n  27 -> 30 [size =\"17222656\"]\n  27 -> 31 [size =\"17222656\"]\n  28 [size=\"115766613\", alpha=\"0.19\", expect_size=\"34729984\"] \n  28 -> 31 [size =\"34729984\"]\n  29 [size=\"31102293\", alpha=\"0.09\", expect_size=\"9330688\"] \n  29 -> 32 [size =\"9330688\"]\n  30 [size=\"99898027\", alpha=\"0.16\", expect_size=\"29969408\"] \n  30 -> 32 [size =\"29969408\"]\n  30 -> 33 [size =\"29969408\"]\n  31 [size=\"99092480\", alpha=\"0.08\", expect_size=\"29727744\"] \n  31 -> 33 [size =\"29727744\"]\n  32 [size=\"92661760\", alpha=\"0.19\", expect_size=\"27798528\"] \n  32 -> 34 [size =\"27798528\"]\n  32 -> 36 [size =\"27798528\"]\n  33 [size=\"128921600\", alpha=\"0.00\", expect_size=\"38676480\"] \n  33 -> 35 [size =\"38676480\"]\n  33 -> 36 [size =\"38676480\"]\n  34 [size=\"132123307\", alpha=\"0.07\", expect_size=\"39636992\"] \n  34 -> 37 [size =\"39636992\"]\n  34 -> 38 [size =\"39636992\"]\n  35 [size=\"24412160\", alpha=\"0.17\", expect_size=\"7323648\"] \n  35 -> 39 [size =\"7323648\"]\n  36 [size=\"96747520\", alpha=\"0.17\", expect_size=\"29024256\"] \n  36 -> 37 [size =\"29024256\"]\n  36 -> 38 [size =\"29024256\"]\n  37 [size=\"79063040\", alpha=\"0.02\", expect_size=\"23718912\"] \n  38 [size=\"81609387\", alpha=\"0.04\", expect_size=\"24482816\"] \n  38 -> 40 [size =\"24482816\"]\n  38 -> 41 [size =\"24482816\"]\n  39 [size=\"75857920\", alpha=\"0.18\", expect_size=\"22757376\"] \n  39 -> 41 [size =\"22757376\"]\n  40 [size=\"147961173\", alpha=\"0.03\", expect_size=\"44388352\"] \n  40 -> 43 [size =\"44388352\"]\n  41 [size=\"113821013\", alpha=\"0.17\", expect_size=\"34146304\"] \n  41 -> 42 [size =\"34146304\"]\n  41 -> 43 [size =\"34146304\"]\n  42 [size=\"173813760\", alpha=\"0.07\", expect_size=\"52144128\"] \n  42 -> 44 [size =\"52144128\"]\n  42 -> 45 [size =\"52144128\"]\n  42 -> 46 [size =\"52144128\"]\n  43 [size=\"166898347\", alpha=\"0.13\", expect_size=\"50069504\"] \n  43 -> 44 [size =\"50069504\"]\n  44 [size=\"168799573\", alpha=\"0.01\", expect_size=\"50639872\"] \n  44 -> 48 [size =\"50639872\"]\n  44 -> 49 [size =\"50639872\"]\n  45 [size=\"69229227\", alpha=\"0.19\", expect_size=\"20768768\"] \n  45 -> 47 [size =\"20768768\"]\n  45 -> 49 [size =\"20768768\"]\n  46 [size=\"44175360\", alpha=\"0.17\", expect_size=\"13252608\"] \n  46 -> 47 [size =\"13252608\"]\n  47 [size=\"21548373\", alpha=\"0.00\", expect_size=\"6464512\"] \n  48 [size=\"35508907\", alpha=\"0.16\", expect_size=\"10652672\"] \n  49 [size=\"64962560\", alpha=\"0.13\", expect_size=\"19488768\"] \n  49 -> 50 [size =\"19488768\"]\n  50 [size=\"49841493\", alpha=\"0.01\", expect_size=\"14952448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.558.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86968320\", alpha=\"0.10\", expect_size=\"43484160\"] \n  1 -> 5 [size =\"43484160\"]\n  1 -> 6 [size =\"43484160\"]\n  2 [size=\"42321920\", alpha=\"0.15\", expect_size=\"21160960\"] \n  2 -> 7 [size =\"21160960\"]\n  3 [size=\"25415680\", alpha=\"0.08\", expect_size=\"12707840\"] \n  4 [size=\"100335616\", alpha=\"0.15\", expect_size=\"50167808\"] \n  4 -> 6 [size =\"50167808\"]\n  4 -> 7 [size =\"50167808\"]\n  5 [size=\"94142464\", alpha=\"0.03\", expect_size=\"47071232\"] \n  5 -> 8 [size =\"47071232\"]\n  6 [size=\"42782720\", alpha=\"0.01\", expect_size=\"21391360\"] \n  6 -> 9 [size =\"21391360\"]\n  7 [size=\"45209600\", alpha=\"0.11\", expect_size=\"22604800\"] \n  7 -> 9 [size =\"22604800\"]\n  8 [size=\"65189888\", alpha=\"0.10\", expect_size=\"32594944\"] \n  8 -> 10 [size =\"32594944\"]\n  9 [size=\"87324672\", alpha=\"0.14\", expect_size=\"43662336\"] \n  9 -> 11 [size =\"43662336\"]\n  10 [size=\"21276672\", alpha=\"0.00\", expect_size=\"10638336\"] \n  10 -> 12 [size =\"10638336\"]\n  10 -> 15 [size =\"10638336\"]\n  11 [size=\"64991232\", alpha=\"0.12\", expect_size=\"32495616\"] \n  11 -> 12 [size =\"32495616\"]\n  11 -> 13 [size =\"32495616\"]\n  11 -> 14 [size =\"32495616\"]\n  11 -> 15 [size =\"32495616\"]\n  12 [size=\"18632704\", alpha=\"0.01\", expect_size=\"9316352\"] \n  12 -> 17 [size =\"9316352\"]\n  12 -> 18 [size =\"9316352\"]\n  12 -> 19 [size =\"9316352\"]\n  13 [size=\"90214400\", alpha=\"0.19\", expect_size=\"45107200\"] \n  14 [size=\"33548288\", alpha=\"0.18\", expect_size=\"16774144\"] \n  14 -> 19 [size =\"16774144\"]\n  15 [size=\"101967872\", alpha=\"0.13\", expect_size=\"50983936\"] \n  15 -> 16 [size =\"50983936\"]\n  15 -> 17 [size =\"50983936\"]\n  15 -> 18 [size =\"50983936\"]\n  15 -> 19 [size =\"50983936\"]\n  16 [size=\"23869440\", alpha=\"0.08\", expect_size=\"11934720\"] \n  17 [size=\"28020736\", alpha=\"0.19\", expect_size=\"14010368\"] \n  17 -> 20 [size =\"14010368\"]\n  18 [size=\"81752064\", alpha=\"0.11\", expect_size=\"40876032\"] \n  19 [size=\"35198976\", alpha=\"0.16\", expect_size=\"17599488\"] \n  20 [size=\"102612992\", alpha=\"0.02\", expect_size=\"51306496\"] \n  20 -> 21 [size =\"51306496\"]\n  20 -> 22 [size =\"51306496\"]\n  20 -> 23 [size =\"51306496\"]\n  20 -> 24 [size =\"51306496\"]\n  21 [size=\"104437760\", alpha=\"0.05\", expect_size=\"52218880\"] \n  21 -> 25 [size =\"52218880\"]\n  21 -> 26 [size =\"52218880\"]\n  22 [size=\"66938880\", alpha=\"0.14\", expect_size=\"33469440\"] \n  22 -> 27 [size =\"33469440\"]\n  23 [size=\"70758400\", alpha=\"0.06\", expect_size=\"35379200\"] \n  24 [size=\"66809856\", alpha=\"0.17\", expect_size=\"33404928\"] \n  24 -> 26 [size =\"33404928\"]\n  25 [size=\"56920064\", alpha=\"0.06\", expect_size=\"28460032\"] \n  25 -> 29 [size =\"28460032\"]\n  26 [size=\"24883200\", alpha=\"0.02\", expect_size=\"12441600\"] \n  27 [size=\"62226432\", alpha=\"0.05\", expect_size=\"31113216\"] \n  27 -> 28 [size =\"31113216\"]\n  28 [size=\"59674624\", alpha=\"0.20\", expect_size=\"29837312\"] \n  28 -> 31 [size =\"29837312\"]\n  28 -> 33 [size =\"29837312\"]\n  29 [size=\"16398336\", alpha=\"0.11\", expect_size=\"8199168\"] \n  29 -> 30 [size =\"8199168\"]\n  29 -> 32 [size =\"8199168\"]\n  30 [size=\"93405184\", alpha=\"0.04\", expect_size=\"46702592\"] \n  30 -> 35 [size =\"46702592\"]\n  30 -> 36 [size =\"46702592\"]\n  30 -> 37 [size =\"46702592\"]\n  31 [size=\"104615936\", alpha=\"0.09\", expect_size=\"52307968\"] \n  31 -> 35 [size =\"52307968\"]\n  31 -> 36 [size =\"52307968\"]\n  32 [size=\"32139264\", alpha=\"0.15\", expect_size=\"16069632\"] \n  33 [size=\"96559104\", alpha=\"0.19\", expect_size=\"48279552\"] \n  33 -> 34 [size =\"48279552\"]\n  33 -> 35 [size =\"48279552\"]\n  33 -> 36 [size =\"48279552\"]\n  34 [size=\"29689856\", alpha=\"0.07\", expect_size=\"14844928\"] \n  34 -> 39 [size =\"14844928\"]\n  35 [size=\"15751168\", alpha=\"0.15\", expect_size=\"7875584\"] \n  35 -> 39 [size =\"7875584\"]\n  36 [size=\"44032000\", alpha=\"0.06\", expect_size=\"22016000\"] \n  36 -> 38 [size =\"22016000\"]\n  37 [size=\"52453376\", alpha=\"0.00\", expect_size=\"26226688\"] \n  38 [size=\"75745280\", alpha=\"0.09\", expect_size=\"37872640\"] \n  38 -> 40 [size =\"37872640\"]\n  38 -> 41 [size =\"37872640\"]\n  38 -> 42 [size =\"37872640\"]\n  39 [size=\"74237952\", alpha=\"0.04\", expect_size=\"37118976\"] \n  39 -> 42 [size =\"37118976\"]\n  40 [size=\"30400512\", alpha=\"0.18\", expect_size=\"15200256\"] \n  41 [size=\"49395712\", alpha=\"0.12\", expect_size=\"24697856\"] \n  41 -> 43 [size =\"24697856\"]\n  41 -> 44 [size =\"24697856\"]\n  42 [size=\"91359232\", alpha=\"0.18\", expect_size=\"45679616\"] \n  42 -> 44 [size =\"45679616\"]\n  43 [size=\"70068224\", alpha=\"0.17\", expect_size=\"35034112\"] \n  43 -> 45 [size =\"35034112\"]\n  43 -> 46 [size =\"35034112\"]\n  44 [size=\"65249280\", alpha=\"0.08\", expect_size=\"32624640\"] \n  44 -> 46 [size =\"32624640\"]\n  45 [size=\"99969024\", alpha=\"0.09\", expect_size=\"49984512\"] \n  45 -> 47 [size =\"49984512\"]\n  46 [size=\"76963840\", alpha=\"0.12\", expect_size=\"38481920\"] \n  46 -> 47 [size =\"38481920\"]\n  47 [size=\"103991296\", alpha=\"0.07\", expect_size=\"51995648\"] \n  47 -> 48 [size =\"51995648\"]\n  47 -> 49 [size =\"51995648\"]\n  48 [size=\"104214528\", alpha=\"0.12\", expect_size=\"52107264\"] \n  48 -> 50 [size =\"52107264\"]\n  49 [size=\"54532096\", alpha=\"0.18\", expect_size=\"27266048\"] \n  50 [size=\"74024960\", alpha=\"0.02\", expect_size=\"37012480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.559.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67158016\", alpha=\"0.16\", expect_size=\"33579008\"] \n  1 -> 28 [size =\"33579008\"]\n  1 -> 30 [size =\"33579008\"]\n  2 [size=\"81563648\", alpha=\"0.13\", expect_size=\"40781824\"] \n  2 -> 30 [size =\"40781824\"]\n  2 -> 31 [size =\"40781824\"]\n  2 -> 37 [size =\"40781824\"]\n  2 -> 38 [size =\"40781824\"]\n  3 [size=\"94246912\", alpha=\"0.15\", expect_size=\"47123456\"] \n  3 -> 28 [size =\"47123456\"]\n  3 -> 30 [size =\"47123456\"]\n  3 -> 42 [size =\"47123456\"]\n  4 [size=\"61915136\", alpha=\"0.04\", expect_size=\"30957568\"] \n  4 -> 24 [size =\"30957568\"]\n  4 -> 25 [size =\"30957568\"]\n  4 -> 30 [size =\"30957568\"]\n  4 -> 41 [size =\"30957568\"]\n  5 [size=\"32083968\", alpha=\"0.07\", expect_size=\"16041984\"] \n  5 -> 24 [size =\"16041984\"]\n  5 -> 30 [size =\"16041984\"]\n  5 -> 31 [size =\"16041984\"]\n  5 -> 35 [size =\"16041984\"]\n  5 -> 39 [size =\"16041984\"]\n  6 [size=\"44568576\", alpha=\"0.15\", expect_size=\"22284288\"] \n  6 -> 22 [size =\"22284288\"]\n  6 -> 25 [size =\"22284288\"]\n  6 -> 34 [size =\"22284288\"]\n  6 -> 38 [size =\"22284288\"]\n  6 -> 40 [size =\"22284288\"]\n  7 [size=\"70055936\", alpha=\"0.04\", expect_size=\"35027968\"] \n  7 -> 22 [size =\"35027968\"]\n  7 -> 24 [size =\"35027968\"]\n  7 -> 28 [size =\"35027968\"]\n  7 -> 31 [size =\"35027968\"]\n  7 -> 34 [size =\"35027968\"]\n  7 -> 37 [size =\"35027968\"]\n  7 -> 39 [size =\"35027968\"]\n  7 -> 40 [size =\"35027968\"]\n  7 -> 42 [size =\"35027968\"]\n  8 [size=\"32632832\", alpha=\"0.07\", expect_size=\"16316416\"] \n  8 -> 23 [size =\"16316416\"]\n  8 -> 24 [size =\"16316416\"]\n  8 -> 28 [size =\"16316416\"]\n  8 -> 31 [size =\"16316416\"]\n  8 -> 37 [size =\"16316416\"]\n  8 -> 39 [size =\"16316416\"]\n  8 -> 40 [size =\"16316416\"]\n  8 -> 41 [size =\"16316416\"]\n  8 -> 42 [size =\"16316416\"]\n  9 [size=\"39847936\", alpha=\"0.12\", expect_size=\"19923968\"] \n  9 -> 22 [size =\"19923968\"]\n  9 -> 24 [size =\"19923968\"]\n  9 -> 28 [size =\"19923968\"]\n  9 -> 29 [size =\"19923968\"]\n  9 -> 30 [size =\"19923968\"]\n  9 -> 36 [size =\"19923968\"]\n  10 [size=\"55971840\", alpha=\"0.15\", expect_size=\"27985920\"] \n  10 -> 31 [size =\"27985920\"]\n  10 -> 37 [size =\"27985920\"]\n  10 -> 39 [size =\"27985920\"]\n  10 -> 40 [size =\"27985920\"]\n  10 -> 42 [size =\"27985920\"]\n  11 [size=\"61440000\", alpha=\"0.02\", expect_size=\"30720000\"] \n  11 -> 26 [size =\"30720000\"]\n  11 -> 28 [size =\"30720000\"]\n  11 -> 33 [size =\"30720000\"]\n  11 -> 38 [size =\"30720000\"]\n  12 [size=\"44406784\", alpha=\"0.11\", expect_size=\"22203392\"] \n  12 -> 28 [size =\"22203392\"]\n  12 -> 30 [size =\"22203392\"]\n  13 [size=\"10809344\", alpha=\"0.01\", expect_size=\"5404672\"] \n  13 -> 24 [size =\"5404672\"]\n  13 -> 25 [size =\"5404672\"]\n  13 -> 29 [size =\"5404672\"]\n  13 -> 30 [size =\"5404672\"]\n  13 -> 36 [size =\"5404672\"]\n  13 -> 37 [size =\"5404672\"]\n  14 [size=\"83509248\", alpha=\"0.17\", expect_size=\"41754624\"] \n  14 -> 25 [size =\"41754624\"]\n  14 -> 26 [size =\"41754624\"]\n  14 -> 28 [size =\"41754624\"]\n  14 -> 31 [size =\"41754624\"]\n  14 -> 35 [size =\"41754624\"]\n  14 -> 37 [size =\"41754624\"]\n  15 [size=\"102569984\", alpha=\"0.16\", expect_size=\"51284992\"] \n  15 -> 28 [size =\"51284992\"]\n  15 -> 30 [size =\"51284992\"]\n  15 -> 37 [size =\"51284992\"]\n  16 [size=\"40931328\", alpha=\"0.08\", expect_size=\"20465664\"] \n  16 -> 22 [size =\"20465664\"]\n  16 -> 24 [size =\"20465664\"]\n  16 -> 28 [size =\"20465664\"]\n  16 -> 37 [size =\"20465664\"]\n  16 -> 40 [size =\"20465664\"]\n  16 -> 41 [size =\"20465664\"]\n  17 [size=\"16779264\", alpha=\"0.14\", expect_size=\"8389632\"] \n  17 -> 24 [size =\"8389632\"]\n  17 -> 40 [size =\"8389632\"]\n  18 [size=\"35579904\", alpha=\"0.16\", expect_size=\"17789952\"] \n  18 -> 24 [size =\"17789952\"]\n  18 -> 33 [size =\"17789952\"]\n  18 -> 39 [size =\"17789952\"]\n  18 -> 40 [size =\"17789952\"]\n  19 [size=\"69562368\", alpha=\"0.20\", expect_size=\"34781184\"] \n  19 -> 24 [size =\"34781184\"]\n  19 -> 30 [size =\"34781184\"]\n  19 -> 37 [size =\"34781184\"]\n  19 -> 39 [size =\"34781184\"]\n  19 -> 40 [size =\"34781184\"]\n  20 [size=\"31055872\", alpha=\"0.06\", expect_size=\"15527936\"] \n  20 -> 25 [size =\"15527936\"]\n  20 -> 27 [size =\"15527936\"]\n  20 -> 32 [size =\"15527936\"]\n  20 -> 36 [size =\"15527936\"]\n  20 -> 37 [size =\"15527936\"]\n  20 -> 39 [size =\"15527936\"]\n  21 [size=\"101976064\", alpha=\"0.04\", expect_size=\"50988032\"] \n  21 -> 31 [size =\"50988032\"]\n  21 -> 35 [size =\"50988032\"]\n  21 -> 38 [size =\"50988032\"]\n  21 -> 39 [size =\"50988032\"]\n  22 [size=\"16611328\", alpha=\"0.17\", expect_size=\"8305664\"] \n  22 -> 43 [size =\"8305664\"]\n  22 -> 44 [size =\"8305664\"]\n  22 -> 47 [size =\"8305664\"]\n  22 -> 48 [size =\"8305664\"]\n  22 -> 50 [size =\"8305664\"]\n  23 [size=\"67067904\", alpha=\"0.09\", expect_size=\"33533952\"] \n  23 -> 44 [size =\"33533952\"]\n  24 [size=\"72075264\", alpha=\"0.11\", expect_size=\"36037632\"] \n  24 -> 43 [size =\"36037632\"]\n  25 [size=\"60035072\", alpha=\"0.17\", expect_size=\"30017536\"] \n  26 [size=\"38823936\", alpha=\"0.11\", expect_size=\"19411968\"] \n  26 -> 43 [size =\"19411968\"]\n  26 -> 44 [size =\"19411968\"]\n  27 [size=\"78721024\", alpha=\"0.17\", expect_size=\"39360512\"] \n  27 -> 46 [size =\"39360512\"]\n  27 -> 47 [size =\"39360512\"]\n  28 [size=\"48658432\", alpha=\"0.08\", expect_size=\"24329216\"] \n  28 -> 46 [size =\"24329216\"]\n  28 -> 47 [size =\"24329216\"]\n  29 [size=\"31365120\", alpha=\"0.06\", expect_size=\"15682560\"] \n  29 -> 48 [size =\"15682560\"]\n  30 [size=\"29063168\", alpha=\"0.13\", expect_size=\"14531584\"] \n  30 -> 44 [size =\"14531584\"]\n  30 -> 47 [size =\"14531584\"]\n  30 -> 48 [size =\"14531584\"]\n  31 [size=\"56375296\", alpha=\"0.11\", expect_size=\"28187648\"] \n  31 -> 43 [size =\"28187648\"]\n  31 -> 44 [size =\"28187648\"]\n  31 -> 47 [size =\"28187648\"]\n  31 -> 48 [size =\"28187648\"]\n  32 [size=\"75599872\", alpha=\"0.16\", expect_size=\"37799936\"] \n  32 -> 43 [size =\"37799936\"]\n  32 -> 44 [size =\"37799936\"]\n  32 -> 46 [size =\"37799936\"]\n  32 -> 47 [size =\"37799936\"]\n  32 -> 48 [size =\"37799936\"]\n  33 [size=\"63444992\", alpha=\"0.01\", expect_size=\"31722496\"] \n  33 -> 43 [size =\"31722496\"]\n  33 -> 44 [size =\"31722496\"]\n  33 -> 47 [size =\"31722496\"]\n  34 [size=\"103673856\", alpha=\"0.01\", expect_size=\"51836928\"] \n  34 -> 43 [size =\"51836928\"]\n  34 -> 44 [size =\"51836928\"]\n  34 -> 47 [size =\"51836928\"]\n  34 -> 48 [size =\"51836928\"]\n  35 [size=\"58972160\", alpha=\"0.01\", expect_size=\"29486080\"] \n  35 -> 43 [size =\"29486080\"]\n  35 -> 44 [size =\"29486080\"]\n  35 -> 48 [size =\"29486080\"]\n  35 -> 49 [size =\"29486080\"]\n  36 [size=\"45309952\", alpha=\"0.08\", expect_size=\"22654976\"] \n  36 -> 49 [size =\"22654976\"]\n  37 [size=\"96774144\", alpha=\"0.15\", expect_size=\"48387072\"] \n  37 -> 43 [size =\"48387072\"]\n  38 [size=\"84187136\", alpha=\"0.09\", expect_size=\"42093568\"] \n  39 [size=\"29700096\", alpha=\"0.14\", expect_size=\"14850048\"] \n  39 -> 45 [size =\"14850048\"]\n  39 -> 48 [size =\"14850048\"]\n  39 -> 50 [size =\"14850048\"]\n  40 [size=\"57044992\", alpha=\"0.04\", expect_size=\"28522496\"] \n  40 -> 44 [size =\"28522496\"]\n  40 -> 47 [size =\"28522496\"]\n  40 -> 48 [size =\"28522496\"]\n  40 -> 50 [size =\"28522496\"]\n  41 [size=\"22966272\", alpha=\"0.14\", expect_size=\"11483136\"] \n  41 -> 43 [size =\"11483136\"]\n  41 -> 48 [size =\"11483136\"]\n  42 [size=\"72794112\", alpha=\"0.04\", expect_size=\"36397056\"] \n  42 -> 44 [size =\"36397056\"]\n  42 -> 48 [size =\"36397056\"]\n  43 [size=\"51705856\", alpha=\"0.07\", expect_size=\"25852928\"] \n  44 [size=\"54396928\", alpha=\"0.03\", expect_size=\"27198464\"] \n  45 [size=\"59518976\", alpha=\"0.09\", expect_size=\"29759488\"] \n  46 [size=\"64786432\", alpha=\"0.01\", expect_size=\"32393216\"] \n  47 [size=\"100646912\", alpha=\"0.08\", expect_size=\"50323456\"] \n  48 [size=\"79022080\", alpha=\"0.03\", expect_size=\"39511040\"] \n  49 [size=\"25006080\", alpha=\"0.02\", expect_size=\"12503040\"] \n  50 [size=\"92047360\", alpha=\"0.05\", expect_size=\"46023680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131857067\", alpha=\"0.01\", expect_size=\"39557120\"] \n  1 -> 16 [size =\"39557120\"]\n  1 -> 17 [size =\"39557120\"]\n  1 -> 20 [size =\"39557120\"]\n  1 -> 22 [size =\"39557120\"]\n  1 -> 26 [size =\"39557120\"]\n  1 -> 29 [size =\"39557120\"]\n  2 [size=\"123187200\", alpha=\"0.13\", expect_size=\"36956160\"] \n  2 -> 16 [size =\"36956160\"]\n  2 -> 18 [size =\"36956160\"]\n  2 -> 20 [size =\"36956160\"]\n  2 -> 23 [size =\"36956160\"]\n  2 -> 26 [size =\"36956160\"]\n  2 -> 28 [size =\"36956160\"]\n  2 -> 29 [size =\"36956160\"]\n  3 [size=\"123886933\", alpha=\"0.15\", expect_size=\"37166080\"] \n  3 -> 18 [size =\"37166080\"]\n  3 -> 20 [size =\"37166080\"]\n  3 -> 20 [size =\"37166080\"]\n  3 -> 23 [size =\"37166080\"]\n  3 -> 24 [size =\"37166080\"]\n  3 -> 26 [size =\"37166080\"]\n  3 -> 29 [size =\"37166080\"]\n  3 -> 30 [size =\"37166080\"]\n  4 [size=\"39990613\", alpha=\"0.18\", expect_size=\"11997184\"] \n  4 -> 16 [size =\"11997184\"]\n  4 -> 17 [size =\"11997184\"]\n  4 -> 20 [size =\"11997184\"]\n  4 -> 23 [size =\"11997184\"]\n  4 -> 26 [size =\"11997184\"]\n  4 -> 29 [size =\"11997184\"]\n  4 -> 29 [size =\"11997184\"]\n  4 -> 30 [size =\"11997184\"]\n  5 [size=\"61948587\", alpha=\"0.19\", expect_size=\"18584576\"] \n  5 -> 16 [size =\"18584576\"]\n  5 -> 20 [size =\"18584576\"]\n  5 -> 21 [size =\"18584576\"]\n  5 -> 22 [size =\"18584576\"]\n  5 -> 23 [size =\"18584576\"]\n  5 -> 26 [size =\"18584576\"]\n  5 -> 29 [size =\"18584576\"]\n  5 -> 30 [size =\"18584576\"]\n  6 [size=\"140247040\", alpha=\"0.05\", expect_size=\"42074112\"] \n  6 -> 17 [size =\"42074112\"]\n  6 -> 22 [size =\"42074112\"]\n  6 -> 23 [size =\"42074112\"]\n  6 -> 24 [size =\"42074112\"]\n  6 -> 25 [size =\"42074112\"]\n  6 -> 29 [size =\"42074112\"]\n  6 -> 31 [size =\"42074112\"]\n  7 [size=\"70161067\", alpha=\"0.08\", expect_size=\"21048320\"] \n  7 -> 17 [size =\"21048320\"]\n  7 -> 22 [size =\"21048320\"]\n  7 -> 23 [size =\"21048320\"]\n  7 -> 27 [size =\"21048320\"]\n  7 -> 28 [size =\"21048320\"]\n  7 -> 29 [size =\"21048320\"]\n  7 -> 30 [size =\"21048320\"]\n  8 [size=\"100140373\", alpha=\"0.03\", expect_size=\"30042112\"] \n  8 -> 17 [size =\"30042112\"]\n  8 -> 20 [size =\"30042112\"]\n  8 -> 21 [size =\"30042112\"]\n  8 -> 23 [size =\"30042112\"]\n  8 -> 25 [size =\"30042112\"]\n  8 -> 27 [size =\"30042112\"]\n  9 [size=\"111264427\", alpha=\"0.19\", expect_size=\"33379328\"] \n  9 -> 18 [size =\"33379328\"]\n  9 -> 19 [size =\"33379328\"]\n  9 -> 20 [size =\"33379328\"]\n  9 -> 21 [size =\"33379328\"]\n  9 -> 23 [size =\"33379328\"]\n  9 -> 26 [size =\"33379328\"]\n  9 -> 27 [size =\"33379328\"]\n  10 [size=\"39994027\", alpha=\"0.18\", expect_size=\"11998208\"] \n  10 -> 20 [size =\"11998208\"]\n  10 -> 22 [size =\"11998208\"]\n  10 -> 23 [size =\"11998208\"]\n  10 -> 25 [size =\"11998208\"]\n  10 -> 26 [size =\"11998208\"]\n  10 -> 28 [size =\"11998208\"]\n  11 [size=\"173687467\", alpha=\"0.10\", expect_size=\"52106240\"] \n  11 -> 16 [size =\"52106240\"]\n  11 -> 20 [size =\"52106240\"]\n  11 -> 22 [size =\"52106240\"]\n  11 -> 23 [size =\"52106240\"]\n  11 -> 24 [size =\"52106240\"]\n  11 -> 25 [size =\"52106240\"]\n  11 -> 28 [size =\"52106240\"]\n  11 -> 29 [size =\"52106240\"]\n  11 -> 30 [size =\"52106240\"]\n  12 [size=\"26671787\", alpha=\"0.14\", expect_size=\"8001536\"] \n  12 -> 20 [size =\"8001536\"]\n  12 -> 20 [size =\"8001536\"]\n  12 -> 22 [size =\"8001536\"]\n  12 -> 23 [size =\"8001536\"]\n  12 -> 25 [size =\"8001536\"]\n  12 -> 26 [size =\"8001536\"]\n  12 -> 29 [size =\"8001536\"]\n  12 -> 30 [size =\"8001536\"]\n  12 -> 30 [size =\"8001536\"]\n  13 [size=\"128682667\", alpha=\"0.02\", expect_size=\"38604800\"] \n  13 -> 17 [size =\"38604800\"]\n  13 -> 22 [size =\"38604800\"]\n  13 -> 23 [size =\"38604800\"]\n  13 -> 24 [size =\"38604800\"]\n  13 -> 25 [size =\"38604800\"]\n  13 -> 26 [size =\"38604800\"]\n  13 -> 30 [size =\"38604800\"]\n  13 -> 31 [size =\"38604800\"]\n  14 [size=\"90053973\", alpha=\"0.03\", expect_size=\"27016192\"] \n  14 -> 16 [size =\"27016192\"]\n  14 -> 22 [size =\"27016192\"]\n  14 -> 26 [size =\"27016192\"]\n  14 -> 29 [size =\"27016192\"]\n  14 -> 30 [size =\"27016192\"]\n  15 [size=\"73523200\", alpha=\"0.07\", expect_size=\"22056960\"] \n  15 -> 16 [size =\"22056960\"]\n  15 -> 19 [size =\"22056960\"]\n  15 -> 20 [size =\"22056960\"]\n  15 -> 23 [size =\"22056960\"]\n  15 -> 26 [size =\"22056960\"]\n  15 -> 29 [size =\"22056960\"]\n  15 -> 30 [size =\"22056960\"]\n  16 [size=\"66242560\", alpha=\"0.10\", expect_size=\"19872768\"] \n  16 -> 36 [size =\"19872768\"]\n  16 -> 38 [size =\"19872768\"]\n  16 -> 40 [size =\"19872768\"]\n  16 -> 41 [size =\"19872768\"]\n  16 -> 42 [size =\"19872768\"]\n  16 -> 43 [size =\"19872768\"]\n  16 -> 46 [size =\"19872768\"]\n  16 -> 47 [size =\"19872768\"]\n  17 [size=\"103819947\", alpha=\"0.15\", expect_size=\"31145984\"] \n  17 -> 35 [size =\"31145984\"]\n  17 -> 36 [size =\"31145984\"]\n  17 -> 38 [size =\"31145984\"]\n  17 -> 40 [size =\"31145984\"]\n  17 -> 41 [size =\"31145984\"]\n  17 -> 42 [size =\"31145984\"]\n  17 -> 43 [size =\"31145984\"]\n  17 -> 45 [size =\"31145984\"]\n  17 -> 46 [size =\"31145984\"]\n  17 -> 47 [size =\"31145984\"]\n  18 [size=\"168506027\", alpha=\"0.05\", expect_size=\"50551808\"] \n  18 -> 32 [size =\"50551808\"]\n  18 -> 36 [size =\"50551808\"]\n  18 -> 38 [size =\"50551808\"]\n  18 -> 40 [size =\"50551808\"]\n  18 -> 42 [size =\"50551808\"]\n  18 -> 46 [size =\"50551808\"]\n  19 [size=\"32389120\", alpha=\"0.10\", expect_size=\"9716736\"] \n  19 -> 34 [size =\"9716736\"]\n  19 -> 36 [size =\"9716736\"]\n  19 -> 37 [size =\"9716736\"]\n  19 -> 40 [size =\"9716736\"]\n  19 -> 43 [size =\"9716736\"]\n  19 -> 44 [size =\"9716736\"]\n  19 -> 45 [size =\"9716736\"]\n  19 -> 47 [size =\"9716736\"]\n  20 [size=\"25272320\", alpha=\"0.14\", expect_size=\"7581696\"] \n  20 -> 32 [size =\"7581696\"]\n  20 -> 33 [size =\"7581696\"]\n  20 -> 35 [size =\"7581696\"]\n  20 -> 37 [size =\"7581696\"]\n  20 -> 40 [size =\"7581696\"]\n  20 -> 41 [size =\"7581696\"]\n  20 -> 45 [size =\"7581696\"]\n  20 -> 47 [size =\"7581696\"]\n  21 [size=\"170096640\", alpha=\"0.12\", expect_size=\"51028992\"] \n  21 -> 32 [size =\"51028992\"]\n  21 -> 37 [size =\"51028992\"]\n  21 -> 39 [size =\"51028992\"]\n  21 -> 40 [size =\"51028992\"]\n  21 -> 40 [size =\"51028992\"]\n  21 -> 41 [size =\"51028992\"]\n  21 -> 43 [size =\"51028992\"]\n  21 -> 45 [size =\"51028992\"]\n  21 -> 47 [size =\"51028992\"]\n  22 [size=\"94252373\", alpha=\"0.03\", expect_size=\"28275712\"] \n  22 -> 32 [size =\"28275712\"]\n  22 -> 35 [size =\"28275712\"]\n  22 -> 36 [size =\"28275712\"]\n  22 -> 37 [size =\"28275712\"]\n  22 -> 39 [size =\"28275712\"]\n  22 -> 40 [size =\"28275712\"]\n  22 -> 42 [size =\"28275712\"]\n  22 -> 43 [size =\"28275712\"]\n  22 -> 45 [size =\"28275712\"]\n  22 -> 47 [size =\"28275712\"]\n  23 [size=\"48295253\", alpha=\"0.08\", expect_size=\"14488576\"] \n  23 -> 32 [size =\"14488576\"]\n  23 -> 35 [size =\"14488576\"]\n  23 -> 37 [size =\"14488576\"]\n  23 -> 39 [size =\"14488576\"]\n  23 -> 40 [size =\"14488576\"]\n  23 -> 42 [size =\"14488576\"]\n  23 -> 44 [size =\"14488576\"]\n  23 -> 45 [size =\"14488576\"]\n  23 -> 47 [size =\"14488576\"]\n  23 -> 47 [size =\"14488576\"]\n  24 [size=\"61532160\", alpha=\"0.16\", expect_size=\"18459648\"] \n  24 -> 34 [size =\"18459648\"]\n  24 -> 37 [size =\"18459648\"]\n  24 -> 39 [size =\"18459648\"]\n  24 -> 42 [size =\"18459648\"]\n  24 -> 43 [size =\"18459648\"]\n  24 -> 45 [size =\"18459648\"]\n  24 -> 46 [size =\"18459648\"]\n  24 -> 47 [size =\"18459648\"]\n  24 -> 47 [size =\"18459648\"]\n  25 [size=\"81431893\", alpha=\"0.10\", expect_size=\"24429568\"] \n  25 -> 35 [size =\"24429568\"]\n  25 -> 36 [size =\"24429568\"]\n  25 -> 37 [size =\"24429568\"]\n  25 -> 39 [size =\"24429568\"]\n  25 -> 40 [size =\"24429568\"]\n  25 -> 42 [size =\"24429568\"]\n  25 -> 43 [size =\"24429568\"]\n  25 -> 44 [size =\"24429568\"]\n  25 -> 45 [size =\"24429568\"]\n  26 [size=\"135396693\", alpha=\"0.19\", expect_size=\"40619008\"] \n  26 -> 35 [size =\"40619008\"]\n  26 -> 36 [size =\"40619008\"]\n  26 -> 37 [size =\"40619008\"]\n  26 -> 38 [size =\"40619008\"]\n  26 -> 39 [size =\"40619008\"]\n  26 -> 40 [size =\"40619008\"]\n  26 -> 42 [size =\"40619008\"]\n  26 -> 45 [size =\"40619008\"]\n  26 -> 45 [size =\"40619008\"]\n  26 -> 46 [size =\"40619008\"]\n  27 [size=\"52964693\", alpha=\"0.15\", expect_size=\"15889408\"] \n  27 -> 35 [size =\"15889408\"]\n  27 -> 36 [size =\"15889408\"]\n  27 -> 39 [size =\"15889408\"]\n  27 -> 40 [size =\"15889408\"]\n  27 -> 42 [size =\"15889408\"]\n  27 -> 43 [size =\"15889408\"]\n  27 -> 44 [size =\"15889408\"]\n  27 -> 45 [size =\"15889408\"]\n  27 -> 46 [size =\"15889408\"]\n  27 -> 46 [size =\"15889408\"]\n  27 -> 47 [size =\"15889408\"]\n  28 [size=\"168024747\", alpha=\"0.01\", expect_size=\"50407424\"] \n  28 -> 32 [size =\"50407424\"]\n  28 -> 34 [size =\"50407424\"]\n  28 -> 35 [size =\"50407424\"]\n  28 -> 36 [size =\"50407424\"]\n  28 -> 37 [size =\"50407424\"]\n  28 -> 39 [size =\"50407424\"]\n  28 -> 42 [size =\"50407424\"]\n  28 -> 45 [size =\"50407424\"]\n  28 -> 46 [size =\"50407424\"]\n  28 -> 47 [size =\"50407424\"]\n  29 [size=\"53244587\", alpha=\"0.19\", expect_size=\"15973376\"] \n  29 -> 33 [size =\"15973376\"]\n  29 -> 34 [size =\"15973376\"]\n  29 -> 36 [size =\"15973376\"]\n  29 -> 37 [size =\"15973376\"]\n  29 -> 39 [size =\"15973376\"]\n  29 -> 39 [size =\"15973376\"]\n  29 -> 41 [size =\"15973376\"]\n  29 -> 42 [size =\"15973376\"]\n  29 -> 43 [size =\"15973376\"]\n  29 -> 45 [size =\"15973376\"]\n  29 -> 47 [size =\"15973376\"]\n  30 [size=\"133474987\", alpha=\"0.01\", expect_size=\"40042496\"] \n  30 -> 32 [size =\"40042496\"]\n  30 -> 35 [size =\"40042496\"]\n  30 -> 37 [size =\"40042496\"]\n  30 -> 39 [size =\"40042496\"]\n  30 -> 39 [size =\"40042496\"]\n  30 -> 41 [size =\"40042496\"]\n  30 -> 41 [size =\"40042496\"]\n  30 -> 42 [size =\"40042496\"]\n  30 -> 44 [size =\"40042496\"]\n  30 -> 45 [size =\"40042496\"]\n  30 -> 47 [size =\"40042496\"]\n  31 [size=\"83985067\", alpha=\"0.02\", expect_size=\"25195520\"] \n  31 -> 35 [size =\"25195520\"]\n  31 -> 39 [size =\"25195520\"]\n  31 -> 40 [size =\"25195520\"]\n  31 -> 42 [size =\"25195520\"]\n  31 -> 45 [size =\"25195520\"]\n  31 -> 46 [size =\"25195520\"]\n  31 -> 47 [size =\"25195520\"]\n  32 [size=\"19162453\", alpha=\"0.04\", expect_size=\"5748736\"] \n  33 [size=\"44718080\", alpha=\"0.00\", expect_size=\"13415424\"] \n  33 -> 50 [size =\"13415424\"]\n  34 [size=\"109776213\", alpha=\"0.06\", expect_size=\"32932864\"] \n  34 -> 48 [size =\"32932864\"]\n  34 -> 50 [size =\"32932864\"]\n  35 [size=\"79571627\", alpha=\"0.18\", expect_size=\"23871488\"] \n  36 [size=\"155859627\", alpha=\"0.17\", expect_size=\"46757888\"] \n  36 -> 49 [size =\"46757888\"]\n  37 [size=\"146845013\", alpha=\"0.07\", expect_size=\"44053504\"] \n  37 -> 48 [size =\"44053504\"]\n  37 -> 50 [size =\"44053504\"]\n  38 [size=\"105212587\", alpha=\"0.16\", expect_size=\"31563776\"] \n  39 [size=\"113629867\", alpha=\"0.07\", expect_size=\"34088960\"] \n  39 -> 50 [size =\"34088960\"]\n  40 [size=\"108595200\", alpha=\"0.19\", expect_size=\"32578560\"] \n  40 -> 50 [size =\"32578560\"]\n  41 [size=\"112633173\", alpha=\"0.10\", expect_size=\"33789952\"] \n  41 -> 50 [size =\"33789952\"]\n  42 [size=\"124665173\", alpha=\"0.12\", expect_size=\"37399552\"] \n  42 -> 50 [size =\"37399552\"]\n  43 [size=\"153893547\", alpha=\"0.17\", expect_size=\"46168064\"] \n  43 -> 50 [size =\"46168064\"]\n  44 [size=\"154241707\", alpha=\"0.07\", expect_size=\"46272512\"] \n  44 -> 50 [size =\"46272512\"]\n  45 [size=\"41000960\", alpha=\"0.06\", expect_size=\"12300288\"] \n  45 -> 49 [size =\"12300288\"]\n  45 -> 50 [size =\"12300288\"]\n  46 [size=\"27504640\", alpha=\"0.20\", expect_size=\"8251392\"] \n  46 -> 50 [size =\"8251392\"]\n  47 [size=\"162525867\", alpha=\"0.18\", expect_size=\"48757760\"] \n  47 -> 50 [size =\"48757760\"]\n  48 [size=\"60545707\", alpha=\"0.15\", expect_size=\"18163712\"] \n  49 [size=\"29883733\", alpha=\"0.17\", expect_size=\"8965120\"] \n  50 [size=\"85456213\", alpha=\"0.14\", expect_size=\"25636864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.560.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25765888\", alpha=\"0.04\", expect_size=\"12882944\"] \n  1 -> 38 [size =\"12882944\"]\n  1 -> 42 [size =\"12882944\"]\n  1 -> 44 [size =\"12882944\"]\n  1 -> 47 [size =\"12882944\"]\n  1 -> 49 [size =\"12882944\"]\n  2 [size=\"82163712\", alpha=\"0.01\", expect_size=\"41081856\"] \n  2 -> 37 [size =\"41081856\"]\n  2 -> 39 [size =\"41081856\"]\n  2 -> 41 [size =\"41081856\"]\n  2 -> 50 [size =\"41081856\"]\n  3 [size=\"81545216\", alpha=\"0.01\", expect_size=\"40772608\"] \n  3 -> 36 [size =\"40772608\"]\n  3 -> 37 [size =\"40772608\"]\n  3 -> 39 [size =\"40772608\"]\n  3 -> 43 [size =\"40772608\"]\n  3 -> 47 [size =\"40772608\"]\n  3 -> 50 [size =\"40772608\"]\n  4 [size=\"19138560\", alpha=\"0.18\", expect_size=\"9569280\"] \n  4 -> 34 [size =\"9569280\"]\n  4 -> 36 [size =\"9569280\"]\n  4 -> 37 [size =\"9569280\"]\n  4 -> 41 [size =\"9569280\"]\n  4 -> 42 [size =\"9569280\"]\n  4 -> 43 [size =\"9569280\"]\n  4 -> 47 [size =\"9569280\"]\n  4 -> 50 [size =\"9569280\"]\n  5 [size=\"27672576\", alpha=\"0.05\", expect_size=\"13836288\"] \n  5 -> 29 [size =\"13836288\"]\n  5 -> 30 [size =\"13836288\"]\n  5 -> 35 [size =\"13836288\"]\n  5 -> 36 [size =\"13836288\"]\n  5 -> 39 [size =\"13836288\"]\n  5 -> 41 [size =\"13836288\"]\n  5 -> 42 [size =\"13836288\"]\n  5 -> 43 [size =\"13836288\"]\n  5 -> 44 [size =\"13836288\"]\n  6 [size=\"92739584\", alpha=\"0.19\", expect_size=\"46369792\"] \n  6 -> 41 [size =\"46369792\"]\n  6 -> 42 [size =\"46369792\"]\n  6 -> 43 [size =\"46369792\"]\n  6 -> 44 [size =\"46369792\"]\n  6 -> 49 [size =\"46369792\"]\n  7 [size=\"46727168\", alpha=\"0.13\", expect_size=\"23363584\"] \n  7 -> 41 [size =\"23363584\"]\n  7 -> 43 [size =\"23363584\"]\n  7 -> 44 [size =\"23363584\"]\n  8 [size=\"98772992\", alpha=\"0.12\", expect_size=\"49386496\"] \n  8 -> 33 [size =\"49386496\"]\n  8 -> 37 [size =\"49386496\"]\n  8 -> 41 [size =\"49386496\"]\n  8 -> 43 [size =\"49386496\"]\n  8 -> 44 [size =\"49386496\"]\n  8 -> 47 [size =\"49386496\"]\n  8 -> 49 [size =\"49386496\"]\n  8 -> 50 [size =\"49386496\"]\n  9 [size=\"83361792\", alpha=\"0.07\", expect_size=\"41680896\"] \n  9 -> 29 [size =\"41680896\"]\n  9 -> 34 [size =\"41680896\"]\n  9 -> 37 [size =\"41680896\"]\n  9 -> 39 [size =\"41680896\"]\n  9 -> 47 [size =\"41680896\"]\n  9 -> 48 [size =\"41680896\"]\n  9 -> 49 [size =\"41680896\"]\n  10 [size=\"77533184\", alpha=\"0.14\", expect_size=\"38766592\"] \n  10 -> 29 [size =\"38766592\"]\n  10 -> 34 [size =\"38766592\"]\n  10 -> 36 [size =\"38766592\"]\n  10 -> 44 [size =\"38766592\"]\n  10 -> 46 [size =\"38766592\"]\n  10 -> 49 [size =\"38766592\"]\n  11 [size=\"75972608\", alpha=\"0.19\", expect_size=\"37986304\"] \n  11 -> 32 [size =\"37986304\"]\n  11 -> 34 [size =\"37986304\"]\n  11 -> 41 [size =\"37986304\"]\n  11 -> 43 [size =\"37986304\"]\n  11 -> 44 [size =\"37986304\"]\n  11 -> 49 [size =\"37986304\"]\n  11 -> 50 [size =\"37986304\"]\n  12 [size=\"95725568\", alpha=\"0.08\", expect_size=\"47862784\"] \n  12 -> 36 [size =\"47862784\"]\n  12 -> 37 [size =\"47862784\"]\n  12 -> 42 [size =\"47862784\"]\n  13 [size=\"98181120\", alpha=\"0.09\", expect_size=\"49090560\"] \n  13 -> 35 [size =\"49090560\"]\n  13 -> 37 [size =\"49090560\"]\n  13 -> 42 [size =\"49090560\"]\n  13 -> 43 [size =\"49090560\"]\n  14 [size=\"101335040\", alpha=\"0.16\", expect_size=\"50667520\"] \n  14 -> 29 [size =\"50667520\"]\n  14 -> 35 [size =\"50667520\"]\n  14 -> 36 [size =\"50667520\"]\n  14 -> 42 [size =\"50667520\"]\n  14 -> 50 [size =\"50667520\"]\n  15 [size=\"93620224\", alpha=\"0.09\", expect_size=\"46810112\"] \n  15 -> 29 [size =\"46810112\"]\n  15 -> 35 [size =\"46810112\"]\n  15 -> 39 [size =\"46810112\"]\n  15 -> 44 [size =\"46810112\"]\n  15 -> 47 [size =\"46810112\"]\n  16 [size=\"23832576\", alpha=\"0.14\", expect_size=\"11916288\"] \n  16 -> 29 [size =\"11916288\"]\n  16 -> 34 [size =\"11916288\"]\n  16 -> 35 [size =\"11916288\"]\n  16 -> 36 [size =\"11916288\"]\n  16 -> 38 [size =\"11916288\"]\n  16 -> 40 [size =\"11916288\"]\n  16 -> 42 [size =\"11916288\"]\n  16 -> 44 [size =\"11916288\"]\n  16 -> 45 [size =\"11916288\"]\n  16 -> 49 [size =\"11916288\"]\n  17 [size=\"20496384\", alpha=\"0.19\", expect_size=\"10248192\"] \n  17 -> 35 [size =\"10248192\"]\n  17 -> 45 [size =\"10248192\"]\n  17 -> 46 [size =\"10248192\"]\n  17 -> 47 [size =\"10248192\"]\n  18 [size=\"82464768\", alpha=\"0.03\", expect_size=\"41232384\"] \n  18 -> 34 [size =\"41232384\"]\n  18 -> 36 [size =\"41232384\"]\n  18 -> 43 [size =\"41232384\"]\n  18 -> 46 [size =\"41232384\"]\n  18 -> 48 [size =\"41232384\"]\n  19 [size=\"43290624\", alpha=\"0.16\", expect_size=\"21645312\"] \n  19 -> 34 [size =\"21645312\"]\n  19 -> 36 [size =\"21645312\"]\n  19 -> 49 [size =\"21645312\"]\n  19 -> 50 [size =\"21645312\"]\n  20 [size=\"74747904\", alpha=\"0.01\", expect_size=\"37373952\"] \n  20 -> 35 [size =\"37373952\"]\n  20 -> 36 [size =\"37373952\"]\n  20 -> 39 [size =\"37373952\"]\n  20 -> 41 [size =\"37373952\"]\n  20 -> 42 [size =\"37373952\"]\n  20 -> 43 [size =\"37373952\"]\n  20 -> 48 [size =\"37373952\"]\n  20 -> 50 [size =\"37373952\"]\n  21 [size=\"46737408\", alpha=\"0.08\", expect_size=\"23368704\"] \n  21 -> 36 [size =\"23368704\"]\n  21 -> 41 [size =\"23368704\"]\n  21 -> 42 [size =\"23368704\"]\n  21 -> 48 [size =\"23368704\"]\n  22 [size=\"41248768\", alpha=\"0.11\", expect_size=\"20624384\"] \n  22 -> 38 [size =\"20624384\"]\n  22 -> 39 [size =\"20624384\"]\n  22 -> 41 [size =\"20624384\"]\n  22 -> 42 [size =\"20624384\"]\n  22 -> 44 [size =\"20624384\"]\n  22 -> 46 [size =\"20624384\"]\n  22 -> 48 [size =\"20624384\"]\n  22 -> 50 [size =\"20624384\"]\n  23 [size=\"80379904\", alpha=\"0.08\", expect_size=\"40189952\"] \n  23 -> 29 [size =\"40189952\"]\n  23 -> 36 [size =\"40189952\"]\n  23 -> 37 [size =\"40189952\"]\n  23 -> 38 [size =\"40189952\"]\n  23 -> 39 [size =\"40189952\"]\n  23 -> 43 [size =\"40189952\"]\n  23 -> 46 [size =\"40189952\"]\n  23 -> 47 [size =\"40189952\"]\n  23 -> 50 [size =\"40189952\"]\n  24 [size=\"30251008\", alpha=\"0.08\", expect_size=\"15125504\"] \n  24 -> 38 [size =\"15125504\"]\n  24 -> 41 [size =\"15125504\"]\n  24 -> 43 [size =\"15125504\"]\n  24 -> 45 [size =\"15125504\"]\n  24 -> 49 [size =\"15125504\"]\n  25 [size=\"12630016\", alpha=\"0.11\", expect_size=\"6315008\"] \n  25 -> 29 [size =\"6315008\"]\n  25 -> 34 [size =\"6315008\"]\n  25 -> 39 [size =\"6315008\"]\n  25 -> 40 [size =\"6315008\"]\n  25 -> 43 [size =\"6315008\"]\n  25 -> 44 [size =\"6315008\"]\n  25 -> 46 [size =\"6315008\"]\n  25 -> 49 [size =\"6315008\"]\n  26 [size=\"55836672\", alpha=\"0.11\", expect_size=\"27918336\"] \n  26 -> 34 [size =\"27918336\"]\n  26 -> 36 [size =\"27918336\"]\n  26 -> 39 [size =\"27918336\"]\n  26 -> 41 [size =\"27918336\"]\n  26 -> 42 [size =\"27918336\"]\n  26 -> 46 [size =\"27918336\"]\n  26 -> 47 [size =\"27918336\"]\n  26 -> 48 [size =\"27918336\"]\n  26 -> 49 [size =\"27918336\"]\n  27 [size=\"27660288\", alpha=\"0.19\", expect_size=\"13830144\"] \n  27 -> 29 [size =\"13830144\"]\n  27 -> 31 [size =\"13830144\"]\n  27 -> 37 [size =\"13830144\"]\n  27 -> 39 [size =\"13830144\"]\n  27 -> 42 [size =\"13830144\"]\n  27 -> 49 [size =\"13830144\"]\n  27 -> 50 [size =\"13830144\"]\n  28 [size=\"21673984\", alpha=\"0.06\", expect_size=\"10836992\"] \n  28 -> 29 [size =\"10836992\"]\n  28 -> 39 [size =\"10836992\"]\n  28 -> 42 [size =\"10836992\"]\n  28 -> 47 [size =\"10836992\"]\n  29 [size=\"33492992\", alpha=\"0.09\", expect_size=\"16746496\"] \n  30 [size=\"16633856\", alpha=\"0.05\", expect_size=\"8316928\"] \n  31 [size=\"19310592\", alpha=\"0.16\", expect_size=\"9655296\"] \n  32 [size=\"56805376\", alpha=\"0.04\", expect_size=\"28402688\"] \n  33 [size=\"12052480\", alpha=\"0.11\", expect_size=\"6026240\"] \n  34 [size=\"50485248\", alpha=\"0.18\", expect_size=\"25242624\"] \n  35 [size=\"86384640\", alpha=\"0.02\", expect_size=\"43192320\"] \n  36 [size=\"42565632\", alpha=\"0.09\", expect_size=\"21282816\"] \n  37 [size=\"95653888\", alpha=\"0.18\", expect_size=\"47826944\"] \n  38 [size=\"93151232\", alpha=\"0.02\", expect_size=\"46575616\"] \n  39 [size=\"28971008\", alpha=\"0.13\", expect_size=\"14485504\"] \n  40 [size=\"70365184\", alpha=\"0.18\", expect_size=\"35182592\"] \n  41 [size=\"95635456\", alpha=\"0.10\", expect_size=\"47817728\"] \n  42 [size=\"75896832\", alpha=\"0.09\", expect_size=\"37948416\"] \n  43 [size=\"96395264\", alpha=\"0.03\", expect_size=\"48197632\"] \n  44 [size=\"56080384\", alpha=\"0.01\", expect_size=\"28040192\"] \n  45 [size=\"45803520\", alpha=\"0.19\", expect_size=\"22901760\"] \n  46 [size=\"54327296\", alpha=\"0.07\", expect_size=\"27163648\"] \n  47 [size=\"95004672\", alpha=\"0.19\", expect_size=\"47502336\"] \n  48 [size=\"83472384\", alpha=\"0.13\", expect_size=\"41736192\"] \n  49 [size=\"91713536\", alpha=\"0.12\", expect_size=\"45856768\"] \n  50 [size=\"58159104\", alpha=\"0.12\", expect_size=\"29079552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.561.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44357120\", alpha=\"0.11\", expect_size=\"17742848\"] \n  1 -> 42 [size =\"17742848\"]\n  1 -> 50 [size =\"17742848\"]\n  2 [size=\"36485120\", alpha=\"0.02\", expect_size=\"14594048\"] \n  2 -> 35 [size =\"14594048\"]\n  2 -> 36 [size =\"14594048\"]\n  2 -> 37 [size =\"14594048\"]\n  2 -> 44 [size =\"14594048\"]\n  2 -> 50 [size =\"14594048\"]\n  3 [size=\"55587840\", alpha=\"0.11\", expect_size=\"22235136\"] \n  3 -> 32 [size =\"22235136\"]\n  3 -> 34 [size =\"22235136\"]\n  3 -> 41 [size =\"22235136\"]\n  3 -> 47 [size =\"22235136\"]\n  4 [size=\"61550080\", alpha=\"0.10\", expect_size=\"24620032\"] \n  4 -> 33 [size =\"24620032\"]\n  4 -> 34 [size =\"24620032\"]\n  4 -> 37 [size =\"24620032\"]\n  4 -> 38 [size =\"24620032\"]\n  4 -> 44 [size =\"24620032\"]\n  4 -> 46 [size =\"24620032\"]\n  4 -> 49 [size =\"24620032\"]\n  5 [size=\"31900160\", alpha=\"0.02\", expect_size=\"12760064\"] \n  5 -> 32 [size =\"12760064\"]\n  5 -> 38 [size =\"12760064\"]\n  5 -> 47 [size =\"12760064\"]\n  6 [size=\"118412800\", alpha=\"0.06\", expect_size=\"47365120\"] \n  6 -> 36 [size =\"47365120\"]\n  6 -> 38 [size =\"47365120\"]\n  6 -> 42 [size =\"47365120\"]\n  6 -> 50 [size =\"47365120\"]\n  7 [size=\"15426560\", alpha=\"0.11\", expect_size=\"6170624\"] \n  7 -> 37 [size =\"6170624\"]\n  7 -> 38 [size =\"6170624\"]\n  7 -> 40 [size =\"6170624\"]\n  7 -> 42 [size =\"6170624\"]\n  7 -> 43 [size =\"6170624\"]\n  7 -> 48 [size =\"6170624\"]\n  8 [size=\"91760640\", alpha=\"0.11\", expect_size=\"36704256\"] \n  8 -> 34 [size =\"36704256\"]\n  8 -> 38 [size =\"36704256\"]\n  8 -> 40 [size =\"36704256\"]\n  8 -> 42 [size =\"36704256\"]\n  8 -> 43 [size =\"36704256\"]\n  8 -> 44 [size =\"36704256\"]\n  9 [size=\"93148160\", alpha=\"0.10\", expect_size=\"37259264\"] \n  9 -> 32 [size =\"37259264\"]\n  9 -> 34 [size =\"37259264\"]\n  9 -> 44 [size =\"37259264\"]\n  9 -> 47 [size =\"37259264\"]\n  10 [size=\"51133440\", alpha=\"0.12\", expect_size=\"20453376\"] \n  10 -> 33 [size =\"20453376\"]\n  10 -> 45 [size =\"20453376\"]\n  11 [size=\"28336640\", alpha=\"0.20\", expect_size=\"11334656\"] \n  11 -> 32 [size =\"11334656\"]\n  11 -> 33 [size =\"11334656\"]\n  11 -> 40 [size =\"11334656\"]\n  11 -> 44 [size =\"11334656\"]\n  11 -> 47 [size =\"11334656\"]\n  11 -> 50 [size =\"11334656\"]\n  12 [size=\"96066560\", alpha=\"0.13\", expect_size=\"38426624\"] \n  12 -> 33 [size =\"38426624\"]\n  12 -> 38 [size =\"38426624\"]\n  12 -> 40 [size =\"38426624\"]\n  12 -> 46 [size =\"38426624\"]\n  12 -> 50 [size =\"38426624\"]\n  13 [size=\"109337600\", alpha=\"0.18\", expect_size=\"43735040\"] \n  13 -> 31 [size =\"43735040\"]\n  13 -> 33 [size =\"43735040\"]\n  13 -> 47 [size =\"43735040\"]\n  13 -> 50 [size =\"43735040\"]\n  14 [size=\"56071680\", alpha=\"0.11\", expect_size=\"22428672\"] \n  14 -> 31 [size =\"22428672\"]\n  14 -> 38 [size =\"22428672\"]\n  14 -> 41 [size =\"22428672\"]\n  14 -> 42 [size =\"22428672\"]\n  14 -> 44 [size =\"22428672\"]\n  14 -> 47 [size =\"22428672\"]\n  14 -> 50 [size =\"22428672\"]\n  15 [size=\"117130240\", alpha=\"0.12\", expect_size=\"46852096\"] \n  15 -> 32 [size =\"46852096\"]\n  15 -> 38 [size =\"46852096\"]\n  15 -> 45 [size =\"46852096\"]\n  15 -> 48 [size =\"46852096\"]\n  15 -> 50 [size =\"46852096\"]\n  16 [size=\"13227520\", alpha=\"0.05\", expect_size=\"5291008\"] \n  16 -> 31 [size =\"5291008\"]\n  16 -> 32 [size =\"5291008\"]\n  16 -> 42 [size =\"5291008\"]\n  16 -> 44 [size =\"5291008\"]\n  16 -> 50 [size =\"5291008\"]\n  17 [size=\"46679040\", alpha=\"0.12\", expect_size=\"18671616\"] \n  17 -> 32 [size =\"18671616\"]\n  17 -> 33 [size =\"18671616\"]\n  17 -> 40 [size =\"18671616\"]\n  17 -> 42 [size =\"18671616\"]\n  17 -> 44 [size =\"18671616\"]\n  17 -> 47 [size =\"18671616\"]\n  18 [size=\"112422400\", alpha=\"0.04\", expect_size=\"44968960\"] \n  18 -> 38 [size =\"44968960\"]\n  18 -> 42 [size =\"44968960\"]\n  19 [size=\"57966080\", alpha=\"0.06\", expect_size=\"23186432\"] \n  19 -> 33 [size =\"23186432\"]\n  19 -> 35 [size =\"23186432\"]\n  19 -> 38 [size =\"23186432\"]\n  19 -> 39 [size =\"23186432\"]\n  19 -> 50 [size =\"23186432\"]\n  20 [size=\"118499840\", alpha=\"0.05\", expect_size=\"47399936\"] \n  20 -> 32 [size =\"47399936\"]\n  20 -> 40 [size =\"47399936\"]\n  20 -> 42 [size =\"47399936\"]\n  20 -> 44 [size =\"47399936\"]\n  20 -> 50 [size =\"47399936\"]\n  21 [size=\"71265280\", alpha=\"0.09\", expect_size=\"28506112\"] \n  21 -> 32 [size =\"28506112\"]\n  21 -> 35 [size =\"28506112\"]\n  21 -> 36 [size =\"28506112\"]\n  21 -> 42 [size =\"28506112\"]\n  21 -> 47 [size =\"28506112\"]\n  21 -> 50 [size =\"28506112\"]\n  22 [size=\"68702720\", alpha=\"0.17\", expect_size=\"27481088\"] \n  22 -> 33 [size =\"27481088\"]\n  22 -> 34 [size =\"27481088\"]\n  22 -> 38 [size =\"27481088\"]\n  22 -> 41 [size =\"27481088\"]\n  22 -> 50 [size =\"27481088\"]\n  23 [size=\"30120960\", alpha=\"0.12\", expect_size=\"12048384\"] \n  23 -> 38 [size =\"12048384\"]\n  23 -> 41 [size =\"12048384\"]\n  23 -> 42 [size =\"12048384\"]\n  23 -> 45 [size =\"12048384\"]\n  23 -> 46 [size =\"12048384\"]\n  23 -> 50 [size =\"12048384\"]\n  24 [size=\"17873920\", alpha=\"0.15\", expect_size=\"7149568\"] \n  24 -> 46 [size =\"7149568\"]\n  25 [size=\"81909760\", alpha=\"0.02\", expect_size=\"32763904\"] \n  25 -> 32 [size =\"32763904\"]\n  25 -> 34 [size =\"32763904\"]\n  25 -> 37 [size =\"32763904\"]\n  25 -> 44 [size =\"32763904\"]\n  25 -> 47 [size =\"32763904\"]\n  25 -> 48 [size =\"32763904\"]\n  26 [size=\"35422720\", alpha=\"0.06\", expect_size=\"14169088\"] \n  26 -> 31 [size =\"14169088\"]\n  26 -> 33 [size =\"14169088\"]\n  26 -> 37 [size =\"14169088\"]\n  26 -> 44 [size =\"14169088\"]\n  26 -> 50 [size =\"14169088\"]\n  27 [size=\"63129600\", alpha=\"0.11\", expect_size=\"25251840\"] \n  27 -> 44 [size =\"25251840\"]\n  28 [size=\"13209600\", alpha=\"0.09\", expect_size=\"5283840\"] \n  28 -> 33 [size =\"5283840\"]\n  28 -> 34 [size =\"5283840\"]\n  28 -> 39 [size =\"5283840\"]\n  28 -> 47 [size =\"5283840\"]\n  29 [size=\"39421440\", alpha=\"0.01\", expect_size=\"15768576\"] \n  29 -> 33 [size =\"15768576\"]\n  29 -> 34 [size =\"15768576\"]\n  29 -> 35 [size =\"15768576\"]\n  29 -> 38 [size =\"15768576\"]\n  30 [size=\"75468800\", alpha=\"0.19\", expect_size=\"30187520\"] \n  30 -> 32 [size =\"30187520\"]\n  30 -> 33 [size =\"30187520\"]\n  31 [size=\"103687680\", alpha=\"0.20\", expect_size=\"41475072\"] \n  32 [size=\"37360640\", alpha=\"0.14\", expect_size=\"14944256\"] \n  33 [size=\"17838080\", alpha=\"0.05\", expect_size=\"7135232\"] \n  34 [size=\"87598080\", alpha=\"0.04\", expect_size=\"35039232\"] \n  35 [size=\"59159040\", alpha=\"0.20\", expect_size=\"23663616\"] \n  36 [size=\"69273600\", alpha=\"0.16\", expect_size=\"27709440\"] \n  37 [size=\"105287680\", alpha=\"0.18\", expect_size=\"42115072\"] \n  38 [size=\"51553280\", alpha=\"0.16\", expect_size=\"20621312\"] \n  39 [size=\"104691200\", alpha=\"0.02\", expect_size=\"41876480\"] \n  40 [size=\"108812800\", alpha=\"0.06\", expect_size=\"43525120\"] \n  41 [size=\"101946880\", alpha=\"0.00\", expect_size=\"40778752\"] \n  42 [size=\"99320320\", alpha=\"0.04\", expect_size=\"39728128\"] \n  43 [size=\"65932800\", alpha=\"0.10\", expect_size=\"26373120\"] \n  44 [size=\"98014720\", alpha=\"0.17\", expect_size=\"39205888\"] \n  45 [size=\"120568320\", alpha=\"0.16\", expect_size=\"48227328\"] \n  46 [size=\"119654400\", alpha=\"0.18\", expect_size=\"47861760\"] \n  47 [size=\"95390720\", alpha=\"0.09\", expect_size=\"38156288\"] \n  48 [size=\"81351680\", alpha=\"0.20\", expect_size=\"32540672\"] \n  49 [size=\"58890240\", alpha=\"0.15\", expect_size=\"23556096\"] \n  50 [size=\"72865280\", alpha=\"0.01\", expect_size=\"29146112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.562.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124218880\", alpha=\"0.08\", expect_size=\"49687552\"] \n  1 -> 16 [size =\"49687552\"]\n  1 -> 19 [size =\"49687552\"]\n  1 -> 21 [size =\"49687552\"]\n  1 -> 23 [size =\"49687552\"]\n  2 [size=\"36948480\", alpha=\"0.18\", expect_size=\"14779392\"] \n  2 -> 18 [size =\"14779392\"]\n  2 -> 20 [size =\"14779392\"]\n  2 -> 21 [size =\"14779392\"]\n  2 -> 22 [size =\"14779392\"]\n  2 -> 25 [size =\"14779392\"]\n  2 -> 27 [size =\"14779392\"]\n  3 [size=\"20986880\", alpha=\"0.09\", expect_size=\"8394752\"] \n  3 -> 18 [size =\"8394752\"]\n  3 -> 20 [size =\"8394752\"]\n  3 -> 22 [size =\"8394752\"]\n  3 -> 25 [size =\"8394752\"]\n  3 -> 25 [size =\"8394752\"]\n  3 -> 26 [size =\"8394752\"]\n  4 [size=\"86287360\", alpha=\"0.20\", expect_size=\"34514944\"] \n  4 -> 16 [size =\"34514944\"]\n  4 -> 17 [size =\"34514944\"]\n  4 -> 18 [size =\"34514944\"]\n  4 -> 20 [size =\"34514944\"]\n  4 -> 21 [size =\"34514944\"]\n  4 -> 24 [size =\"34514944\"]\n  4 -> 26 [size =\"34514944\"]\n  4 -> 28 [size =\"34514944\"]\n  5 [size=\"128883200\", alpha=\"0.10\", expect_size=\"51553280\"] \n  5 -> 20 [size =\"51553280\"]\n  5 -> 23 [size =\"51553280\"]\n  5 -> 26 [size =\"51553280\"]\n  5 -> 27 [size =\"51553280\"]\n  6 [size=\"84602880\", alpha=\"0.09\", expect_size=\"33841152\"] \n  6 -> 20 [size =\"33841152\"]\n  6 -> 22 [size =\"33841152\"]\n  6 -> 23 [size =\"33841152\"]\n  6 -> 26 [size =\"33841152\"]\n  7 [size=\"126533120\", alpha=\"0.02\", expect_size=\"50613248\"] \n  7 -> 16 [size =\"50613248\"]\n  7 -> 18 [size =\"50613248\"]\n  7 -> 20 [size =\"50613248\"]\n  7 -> 25 [size =\"50613248\"]\n  8 [size=\"130519040\", alpha=\"0.20\", expect_size=\"52207616\"] \n  8 -> 16 [size =\"52207616\"]\n  8 -> 17 [size =\"52207616\"]\n  8 -> 18 [size =\"52207616\"]\n  8 -> 24 [size =\"52207616\"]\n  8 -> 25 [size =\"52207616\"]\n  9 [size=\"36257280\", alpha=\"0.03\", expect_size=\"14502912\"] \n  9 -> 16 [size =\"14502912\"]\n  9 -> 18 [size =\"14502912\"]\n  9 -> 22 [size =\"14502912\"]\n  9 -> 23 [size =\"14502912\"]\n  9 -> 28 [size =\"14502912\"]\n  10 [size=\"130964480\", alpha=\"0.11\", expect_size=\"52385792\"] \n  10 -> 16 [size =\"52385792\"]\n  10 -> 20 [size =\"52385792\"]\n  10 -> 22 [size =\"52385792\"]\n  10 -> 27 [size =\"52385792\"]\n  10 -> 28 [size =\"52385792\"]\n  11 [size=\"15185920\", alpha=\"0.14\", expect_size=\"6074368\"] \n  11 -> 16 [size =\"6074368\"]\n  11 -> 17 [size =\"6074368\"]\n  11 -> 18 [size =\"6074368\"]\n  11 -> 23 [size =\"6074368\"]\n  11 -> 26 [size =\"6074368\"]\n  11 -> 28 [size =\"6074368\"]\n  12 [size=\"64296960\", alpha=\"0.13\", expect_size=\"25718784\"] \n  12 -> 26 [size =\"25718784\"]\n  13 [size=\"51584000\", alpha=\"0.18\", expect_size=\"20633600\"] \n  13 -> 18 [size =\"20633600\"]\n  13 -> 23 [size =\"20633600\"]\n  13 -> 26 [size =\"20633600\"]\n  14 [size=\"104545280\", alpha=\"0.11\", expect_size=\"41818112\"] \n  14 -> 18 [size =\"41818112\"]\n  14 -> 20 [size =\"41818112\"]\n  14 -> 25 [size =\"41818112\"]\n  14 -> 27 [size =\"41818112\"]\n  15 [size=\"102443520\", alpha=\"0.19\", expect_size=\"40977408\"] \n  15 -> 20 [size =\"40977408\"]\n  15 -> 26 [size =\"40977408\"]\n  16 [size=\"45273600\", alpha=\"0.02\", expect_size=\"18109440\"] \n  16 -> 29 [size =\"18109440\"]\n  16 -> 33 [size =\"18109440\"]\n  16 -> 38 [size =\"18109440\"]\n  16 -> 39 [size =\"18109440\"]\n  16 -> 41 [size =\"18109440\"]\n  17 [size=\"98434560\", alpha=\"0.00\", expect_size=\"39373824\"] \n  17 -> 29 [size =\"39373824\"]\n  17 -> 31 [size =\"39373824\"]\n  17 -> 33 [size =\"39373824\"]\n  17 -> 34 [size =\"39373824\"]\n  17 -> 38 [size =\"39373824\"]\n  17 -> 41 [size =\"39373824\"]\n  18 [size=\"110827520\", alpha=\"0.02\", expect_size=\"44331008\"] \n  18 -> 32 [size =\"44331008\"]\n  18 -> 35 [size =\"44331008\"]\n  18 -> 36 [size =\"44331008\"]\n  18 -> 39 [size =\"44331008\"]\n  19 [size=\"107901440\", alpha=\"0.11\", expect_size=\"43160576\"] \n  19 -> 33 [size =\"43160576\"]\n  19 -> 34 [size =\"43160576\"]\n  19 -> 38 [size =\"43160576\"]\n  20 [size=\"127587840\", alpha=\"0.03\", expect_size=\"51035136\"] \n  20 -> 34 [size =\"51035136\"]\n  20 -> 36 [size =\"51035136\"]\n  20 -> 38 [size =\"51035136\"]\n  20 -> 40 [size =\"51035136\"]\n  21 [size=\"73021440\", alpha=\"0.14\", expect_size=\"29208576\"] \n  21 -> 30 [size =\"29208576\"]\n  21 -> 31 [size =\"29208576\"]\n  21 -> 36 [size =\"29208576\"]\n  21 -> 38 [size =\"29208576\"]\n  22 [size=\"35002880\", alpha=\"0.08\", expect_size=\"14001152\"] \n  22 -> 29 [size =\"14001152\"]\n  22 -> 30 [size =\"14001152\"]\n  22 -> 33 [size =\"14001152\"]\n  22 -> 35 [size =\"14001152\"]\n  22 -> 36 [size =\"14001152\"]\n  22 -> 38 [size =\"14001152\"]\n  23 [size=\"111603200\", alpha=\"0.04\", expect_size=\"44641280\"] \n  23 -> 29 [size =\"44641280\"]\n  23 -> 33 [size =\"44641280\"]\n  23 -> 34 [size =\"44641280\"]\n  23 -> 35 [size =\"44641280\"]\n  23 -> 36 [size =\"44641280\"]\n  23 -> 37 [size =\"44641280\"]\n  23 -> 38 [size =\"44641280\"]\n  23 -> 41 [size =\"44641280\"]\n  24 [size=\"97963520\", alpha=\"0.12\", expect_size=\"39185408\"] \n  24 -> 29 [size =\"39185408\"]\n  24 -> 33 [size =\"39185408\"]\n  24 -> 36 [size =\"39185408\"]\n  24 -> 41 [size =\"39185408\"]\n  25 [size=\"42232320\", alpha=\"0.00\", expect_size=\"16892928\"] \n  25 -> 31 [size =\"16892928\"]\n  25 -> 33 [size =\"16892928\"]\n  25 -> 35 [size =\"16892928\"]\n  25 -> 36 [size =\"16892928\"]\n  25 -> 41 [size =\"16892928\"]\n  26 [size=\"36275200\", alpha=\"0.00\", expect_size=\"14510080\"] \n  26 -> 41 [size =\"14510080\"]\n  27 [size=\"49797120\", alpha=\"0.20\", expect_size=\"19918848\"] \n  27 -> 29 [size =\"19918848\"]\n  27 -> 30 [size =\"19918848\"]\n  27 -> 31 [size =\"19918848\"]\n  27 -> 32 [size =\"19918848\"]\n  27 -> 35 [size =\"19918848\"]\n  27 -> 36 [size =\"19918848\"]\n  27 -> 38 [size =\"19918848\"]\n  27 -> 41 [size =\"19918848\"]\n  28 [size=\"52672000\", alpha=\"0.19\", expect_size=\"21068800\"] \n  28 -> 29 [size =\"21068800\"]\n  28 -> 33 [size =\"21068800\"]\n  28 -> 39 [size =\"21068800\"]\n  28 -> 41 [size =\"21068800\"]\n  28 -> 42 [size =\"21068800\"]\n  29 [size=\"67192320\", alpha=\"0.02\", expect_size=\"26876928\"] \n  29 -> 45 [size =\"26876928\"]\n  29 -> 49 [size =\"26876928\"]\n  30 [size=\"16906240\", alpha=\"0.05\", expect_size=\"6762496\"] \n  30 -> 45 [size =\"6762496\"]\n  31 [size=\"35427840\", alpha=\"0.08\", expect_size=\"14171136\"] \n  31 -> 45 [size =\"14171136\"]\n  31 -> 49 [size =\"14171136\"]\n  31 -> 50 [size =\"14171136\"]\n  32 [size=\"115904000\", alpha=\"0.01\", expect_size=\"46361600\"] \n  32 -> 44 [size =\"46361600\"]\n  32 -> 45 [size =\"46361600\"]\n  32 -> 50 [size =\"46361600\"]\n  33 [size=\"46248960\", alpha=\"0.19\", expect_size=\"18499584\"] \n  33 -> 44 [size =\"18499584\"]\n  33 -> 45 [size =\"18499584\"]\n  34 [size=\"70269440\", alpha=\"0.13\", expect_size=\"28107776\"] \n  34 -> 43 [size =\"28107776\"]\n  34 -> 44 [size =\"28107776\"]\n  34 -> 45 [size =\"28107776\"]\n  34 -> 46 [size =\"28107776\"]\n  34 -> 49 [size =\"28107776\"]\n  35 [size=\"25218560\", alpha=\"0.03\", expect_size=\"10087424\"] \n  35 -> 43 [size =\"10087424\"]\n  35 -> 44 [size =\"10087424\"]\n  35 -> 48 [size =\"10087424\"]\n  35 -> 49 [size =\"10087424\"]\n  36 [size=\"26877440\", alpha=\"0.17\", expect_size=\"10750976\"] \n  36 -> 45 [size =\"10750976\"]\n  36 -> 49 [size =\"10750976\"]\n  37 [size=\"28771840\", alpha=\"0.07\", expect_size=\"11508736\"] \n  37 -> 43 [size =\"11508736\"]\n  37 -> 44 [size =\"11508736\"]\n  37 -> 46 [size =\"11508736\"]\n  38 [size=\"26370560\", alpha=\"0.12\", expect_size=\"10548224\"] \n  38 -> 46 [size =\"10548224\"]\n  38 -> 50 [size =\"10548224\"]\n  39 [size=\"19120640\", alpha=\"0.14\", expect_size=\"7648256\"] \n  39 -> 49 [size =\"7648256\"]\n  40 [size=\"30169600\", alpha=\"0.15\", expect_size=\"12067840\"] \n  40 -> 44 [size =\"12067840\"]\n  40 -> 46 [size =\"12067840\"]\n  40 -> 47 [size =\"12067840\"]\n  40 -> 49 [size =\"12067840\"]\n  41 [size=\"59415040\", alpha=\"0.07\", expect_size=\"23766016\"] \n  41 -> 43 [size =\"23766016\"]\n  41 -> 44 [size =\"23766016\"]\n  41 -> 45 [size =\"23766016\"]\n  41 -> 49 [size =\"23766016\"]\n  41 -> 50 [size =\"23766016\"]\n  42 [size=\"108933120\", alpha=\"0.02\", expect_size=\"43573248\"] \n  42 -> 43 [size =\"43573248\"]\n  42 -> 44 [size =\"43573248\"]\n  42 -> 45 [size =\"43573248\"]\n  42 -> 48 [size =\"43573248\"]\n  42 -> 50 [size =\"43573248\"]\n  43 [size=\"111951360\", alpha=\"0.14\", expect_size=\"44780544\"] \n  44 [size=\"106946560\", alpha=\"0.00\", expect_size=\"42778624\"] \n  45 [size=\"67399680\", alpha=\"0.11\", expect_size=\"26959872\"] \n  46 [size=\"82641920\", alpha=\"0.06\", expect_size=\"33056768\"] \n  47 [size=\"66880000\", alpha=\"0.08\", expect_size=\"26752000\"] \n  48 [size=\"105443840\", alpha=\"0.16\", expect_size=\"42177536\"] \n  49 [size=\"60121600\", alpha=\"0.13\", expect_size=\"24048640\"] \n  50 [size=\"25712640\", alpha=\"0.11\", expect_size=\"10285056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.563.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156699307\", alpha=\"0.12\", expect_size=\"47009792\"] \n  1 -> 38 [size =\"47009792\"]\n  1 -> 42 [size =\"47009792\"]\n  1 -> 47 [size =\"47009792\"]\n  1 -> 49 [size =\"47009792\"]\n  2 [size=\"134833493\", alpha=\"0.04\", expect_size=\"40450048\"] \n  2 -> 38 [size =\"40450048\"]\n  3 [size=\"17684480\", alpha=\"0.02\", expect_size=\"5305344\"] \n  3 -> 37 [size =\"5305344\"]\n  3 -> 43 [size =\"5305344\"]\n  3 -> 49 [size =\"5305344\"]\n  4 [size=\"24930987\", alpha=\"0.08\", expect_size=\"7479296\"] \n  4 -> 44 [size =\"7479296\"]\n  4 -> 45 [size =\"7479296\"]\n  5 [size=\"33969493\", alpha=\"0.18\", expect_size=\"10190848\"] \n  5 -> 38 [size =\"10190848\"]\n  5 -> 40 [size =\"10190848\"]\n  5 -> 41 [size =\"10190848\"]\n  5 -> 48 [size =\"10190848\"]\n  6 [size=\"56466773\", alpha=\"0.08\", expect_size=\"16940032\"] \n  6 -> 43 [size =\"16940032\"]\n  6 -> 47 [size =\"16940032\"]\n  7 [size=\"22626987\", alpha=\"0.20\", expect_size=\"6788096\"] \n  7 -> 40 [size =\"6788096\"]\n  8 [size=\"138994347\", alpha=\"0.18\", expect_size=\"41698304\"] \n  9 [size=\"120739840\", alpha=\"0.13\", expect_size=\"36221952\"] \n  9 -> 37 [size =\"36221952\"]\n  9 -> 38 [size =\"36221952\"]\n  9 -> 40 [size =\"36221952\"]\n  9 -> 47 [size =\"36221952\"]\n  9 -> 48 [size =\"36221952\"]\n  10 [size=\"22330027\", alpha=\"0.05\", expect_size=\"6699008\"] \n  10 -> 40 [size =\"6699008\"]\n  10 -> 41 [size =\"6699008\"]\n  10 -> 49 [size =\"6699008\"]\n  11 [size=\"132512427\", alpha=\"0.08\", expect_size=\"39753728\"] \n  11 -> 39 [size =\"39753728\"]\n  11 -> 41 [size =\"39753728\"]\n  11 -> 42 [size =\"39753728\"]\n  12 [size=\"71956480\", alpha=\"0.02\", expect_size=\"21586944\"] \n  12 -> 42 [size =\"21586944\"]\n  12 -> 43 [size =\"21586944\"]\n  12 -> 48 [size =\"21586944\"]\n  12 -> 49 [size =\"21586944\"]\n  13 [size=\"100382720\", alpha=\"0.09\", expect_size=\"30114816\"] \n  13 -> 38 [size =\"30114816\"]\n  13 -> 39 [size =\"30114816\"]\n  13 -> 43 [size =\"30114816\"]\n  14 [size=\"118981973\", alpha=\"0.08\", expect_size=\"35694592\"] \n  14 -> 37 [size =\"35694592\"]\n  14 -> 38 [size =\"35694592\"]\n  14 -> 45 [size =\"35694592\"]\n  14 -> 46 [size =\"35694592\"]\n  15 [size=\"22111573\", alpha=\"0.03\", expect_size=\"6633472\"] \n  15 -> 41 [size =\"6633472\"]\n  15 -> 43 [size =\"6633472\"]\n  15 -> 44 [size =\"6633472\"]\n  15 -> 46 [size =\"6633472\"]\n  16 [size=\"162921813\", alpha=\"0.03\", expect_size=\"48876544\"] \n  16 -> 37 [size =\"48876544\"]\n  16 -> 38 [size =\"48876544\"]\n  16 -> 39 [size =\"48876544\"]\n  16 -> 43 [size =\"48876544\"]\n  16 -> 47 [size =\"48876544\"]\n  17 [size=\"72014507\", alpha=\"0.13\", expect_size=\"21604352\"] \n  17 -> 39 [size =\"21604352\"]\n  17 -> 43 [size =\"21604352\"]\n  17 -> 45 [size =\"21604352\"]\n  17 -> 49 [size =\"21604352\"]\n  18 [size=\"69423787\", alpha=\"0.18\", expect_size=\"20827136\"] \n  18 -> 38 [size =\"20827136\"]\n  18 -> 42 [size =\"20827136\"]\n  19 [size=\"53858987\", alpha=\"0.17\", expect_size=\"16157696\"] \n  19 -> 37 [size =\"16157696\"]\n  19 -> 38 [size =\"16157696\"]\n  19 -> 49 [size =\"16157696\"]\n  20 [size=\"159160320\", alpha=\"0.12\", expect_size=\"47748096\"] \n  20 -> 38 [size =\"47748096\"]\n  20 -> 49 [size =\"47748096\"]\n  21 [size=\"43659947\", alpha=\"0.05\", expect_size=\"13097984\"] \n  22 [size=\"104430933\", alpha=\"0.13\", expect_size=\"31329280\"] \n  22 -> 39 [size =\"31329280\"]\n  22 -> 47 [size =\"31329280\"]\n  23 [size=\"121668267\", alpha=\"0.00\", expect_size=\"36500480\"] \n  23 -> 38 [size =\"36500480\"]\n  23 -> 42 [size =\"36500480\"]\n  23 -> 43 [size =\"36500480\"]\n  24 [size=\"31583573\", alpha=\"0.09\", expect_size=\"9475072\"] \n  24 -> 37 [size =\"9475072\"]\n  24 -> 42 [size =\"9475072\"]\n  24 -> 43 [size =\"9475072\"]\n  24 -> 48 [size =\"9475072\"]\n  25 [size=\"92160000\", alpha=\"0.20\", expect_size=\"27648000\"] \n  25 -> 37 [size =\"27648000\"]\n  25 -> 38 [size =\"27648000\"]\n  25 -> 41 [size =\"27648000\"]\n  25 -> 43 [size =\"27648000\"]\n  25 -> 44 [size =\"27648000\"]\n  25 -> 49 [size =\"27648000\"]\n  26 [size=\"118616747\", alpha=\"0.15\", expect_size=\"35585024\"] \n  26 -> 43 [size =\"35585024\"]\n  26 -> 48 [size =\"35585024\"]\n  27 [size=\"142694400\", alpha=\"0.12\", expect_size=\"42808320\"] \n  27 -> 43 [size =\"42808320\"]\n  27 -> 45 [size =\"42808320\"]\n  27 -> 48 [size =\"42808320\"]\n  28 [size=\"84346880\", alpha=\"0.04\", expect_size=\"25304064\"] \n  28 -> 46 [size =\"25304064\"]\n  29 [size=\"66590720\", alpha=\"0.09\", expect_size=\"19977216\"] \n  29 -> 43 [size =\"19977216\"]\n  29 -> 49 [size =\"19977216\"]\n  30 [size=\"42349227\", alpha=\"0.14\", expect_size=\"12704768\"] \n  30 -> 42 [size =\"12704768\"]\n  30 -> 43 [size =\"12704768\"]\n  30 -> 48 [size =\"12704768\"]\n  31 [size=\"136741547\", alpha=\"0.14\", expect_size=\"41022464\"] \n  31 -> 39 [size =\"41022464\"]\n  31 -> 41 [size =\"41022464\"]\n  31 -> 43 [size =\"41022464\"]\n  31 -> 47 [size =\"41022464\"]\n  31 -> 48 [size =\"41022464\"]\n  31 -> 49 [size =\"41022464\"]\n  32 [size=\"174421333\", alpha=\"0.02\", expect_size=\"52326400\"] \n  32 -> 42 [size =\"52326400\"]\n  32 -> 47 [size =\"52326400\"]\n  32 -> 50 [size =\"52326400\"]\n  33 [size=\"115459413\", alpha=\"0.19\", expect_size=\"34637824\"] \n  33 -> 38 [size =\"34637824\"]\n  33 -> 40 [size =\"34637824\"]\n  33 -> 42 [size =\"34637824\"]\n  33 -> 43 [size =\"34637824\"]\n  33 -> 45 [size =\"34637824\"]\n  33 -> 49 [size =\"34637824\"]\n  34 [size=\"117353813\", alpha=\"0.10\", expect_size=\"35206144\"] \n  34 -> 37 [size =\"35206144\"]\n  34 -> 38 [size =\"35206144\"]\n  34 -> 39 [size =\"35206144\"]\n  34 -> 40 [size =\"35206144\"]\n  34 -> 42 [size =\"35206144\"]\n  35 [size=\"30269440\", alpha=\"0.01\", expect_size=\"9080832\"] \n  35 -> 38 [size =\"9080832\"]\n  35 -> 42 [size =\"9080832\"]\n  35 -> 44 [size =\"9080832\"]\n  35 -> 45 [size =\"9080832\"]\n  35 -> 49 [size =\"9080832\"]\n  36 [size=\"27989333\", alpha=\"0.11\", expect_size=\"8396800\"] \n  36 -> 42 [size =\"8396800\"]\n  36 -> 49 [size =\"8396800\"]\n  37 [size=\"149504000\", alpha=\"0.07\", expect_size=\"44851200\"] \n  38 [size=\"85398187\", alpha=\"0.11\", expect_size=\"25619456\"] \n  39 [size=\"114469547\", alpha=\"0.19\", expect_size=\"34340864\"] \n  40 [size=\"25415680\", alpha=\"0.04\", expect_size=\"7624704\"] \n  41 [size=\"137663147\", alpha=\"0.14\", expect_size=\"41298944\"] \n  42 [size=\"94395733\", alpha=\"0.14\", expect_size=\"28318720\"] \n  43 [size=\"107376640\", alpha=\"0.07\", expect_size=\"32212992\"] \n  44 [size=\"102229333\", alpha=\"0.03\", expect_size=\"30668800\"] \n  45 [size=\"23176533\", alpha=\"0.07\", expect_size=\"6952960\"] \n  46 [size=\"32139947\", alpha=\"0.05\", expect_size=\"9641984\"] \n  47 [size=\"117278720\", alpha=\"0.19\", expect_size=\"35183616\"] \n  48 [size=\"18565120\", alpha=\"0.01\", expect_size=\"5569536\"] \n  49 [size=\"102516053\", alpha=\"0.09\", expect_size=\"30754816\"] \n  50 [size=\"90948267\", alpha=\"0.01\", expect_size=\"27284480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.564.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82515968\", alpha=\"0.10\", expect_size=\"41257984\"] \n  1 -> 12 [size =\"41257984\"]\n  2 [size=\"69765120\", alpha=\"0.05\", expect_size=\"34882560\"] \n  3 [size=\"102668288\", alpha=\"0.14\", expect_size=\"51334144\"] \n  3 -> 12 [size =\"51334144\"]\n  4 [size=\"80834560\", alpha=\"0.17\", expect_size=\"40417280\"] \n  5 [size=\"32208896\", alpha=\"0.01\", expect_size=\"16104448\"] \n  6 [size=\"92647424\", alpha=\"0.14\", expect_size=\"46323712\"] \n  7 [size=\"89528320\", alpha=\"0.07\", expect_size=\"44764160\"] \n  7 -> 11 [size =\"44764160\"]\n  8 [size=\"41461760\", alpha=\"0.09\", expect_size=\"20730880\"] \n  8 -> 10 [size =\"20730880\"]\n  9 [size=\"23334912\", alpha=\"0.09\", expect_size=\"11667456\"] \n  9 -> 10 [size =\"11667456\"]\n  9 -> 12 [size =\"11667456\"]\n  10 [size=\"94584832\", alpha=\"0.03\", expect_size=\"47292416\"] \n  10 -> 13 [size =\"47292416\"]\n  10 -> 15 [size =\"47292416\"]\n  10 -> 18 [size =\"47292416\"]\n  10 -> 21 [size =\"47292416\"]\n  10 -> 22 [size =\"47292416\"]\n  11 [size=\"88764416\", alpha=\"0.15\", expect_size=\"44382208\"] \n  11 -> 13 [size =\"44382208\"]\n  11 -> 14 [size =\"44382208\"]\n  11 -> 16 [size =\"44382208\"]\n  11 -> 18 [size =\"44382208\"]\n  11 -> 19 [size =\"44382208\"]\n  12 [size=\"39579648\", alpha=\"0.02\", expect_size=\"19789824\"] \n  12 -> 13 [size =\"19789824\"]\n  12 -> 17 [size =\"19789824\"]\n  12 -> 18 [size =\"19789824\"]\n  12 -> 19 [size =\"19789824\"]\n  12 -> 20 [size =\"19789824\"]\n  12 -> 21 [size =\"19789824\"]\n  13 [size=\"63256576\", alpha=\"0.04\", expect_size=\"31628288\"] \n  13 -> 23 [size =\"31628288\"]\n  13 -> 24 [size =\"31628288\"]\n  13 -> 26 [size =\"31628288\"]\n  13 -> 27 [size =\"31628288\"]\n  13 -> 28 [size =\"31628288\"]\n  14 [size=\"34103296\", alpha=\"0.19\", expect_size=\"17051648\"] \n  14 -> 23 [size =\"17051648\"]\n  14 -> 25 [size =\"17051648\"]\n  14 -> 27 [size =\"17051648\"]\n  14 -> 28 [size =\"17051648\"]\n  15 [size=\"20717568\", alpha=\"0.12\", expect_size=\"10358784\"] \n  15 -> 23 [size =\"10358784\"]\n  15 -> 27 [size =\"10358784\"]\n  15 -> 29 [size =\"10358784\"]\n  15 -> 30 [size =\"10358784\"]\n  16 [size=\"27228160\", alpha=\"0.02\", expect_size=\"13614080\"] \n  16 -> 29 [size =\"13614080\"]\n  16 -> 30 [size =\"13614080\"]\n  17 [size=\"93208576\", alpha=\"0.03\", expect_size=\"46604288\"] \n  17 -> 29 [size =\"46604288\"]\n  18 [size=\"29833216\", alpha=\"0.16\", expect_size=\"14916608\"] \n  18 -> 23 [size =\"14916608\"]\n  18 -> 25 [size =\"14916608\"]\n  18 -> 30 [size =\"14916608\"]\n  19 [size=\"73351168\", alpha=\"0.09\", expect_size=\"36675584\"] \n  19 -> 24 [size =\"36675584\"]\n  19 -> 25 [size =\"36675584\"]\n  19 -> 27 [size =\"36675584\"]\n  19 -> 30 [size =\"36675584\"]\n  20 [size=\"21157888\", alpha=\"0.12\", expect_size=\"10578944\"] \n  20 -> 23 [size =\"10578944\"]\n  20 -> 25 [size =\"10578944\"]\n  20 -> 26 [size =\"10578944\"]\n  20 -> 27 [size =\"10578944\"]\n  20 -> 30 [size =\"10578944\"]\n  21 [size=\"33349632\", alpha=\"0.10\", expect_size=\"16674816\"] \n  21 -> 23 [size =\"16674816\"]\n  21 -> 27 [size =\"16674816\"]\n  21 -> 30 [size =\"16674816\"]\n  22 [size=\"102694912\", alpha=\"0.00\", expect_size=\"51347456\"] \n  22 -> 23 [size =\"51347456\"]\n  22 -> 27 [size =\"51347456\"]\n  22 -> 29 [size =\"51347456\"]\n  22 -> 30 [size =\"51347456\"]\n  23 [size=\"17573888\", alpha=\"0.10\", expect_size=\"8786944\"] \n  23 -> 31 [size =\"8786944\"]\n  23 -> 34 [size =\"8786944\"]\n  23 -> 34 [size =\"8786944\"]\n  23 -> 35 [size =\"8786944\"]\n  23 -> 36 [size =\"8786944\"]\n  24 [size=\"34234368\", alpha=\"0.15\", expect_size=\"17117184\"] \n  24 -> 34 [size =\"17117184\"]\n  24 -> 35 [size =\"17117184\"]\n  25 [size=\"28706816\", alpha=\"0.04\", expect_size=\"14353408\"] \n  25 -> 31 [size =\"14353408\"]\n  25 -> 32 [size =\"14353408\"]\n  25 -> 33 [size =\"14353408\"]\n  25 -> 34 [size =\"14353408\"]\n  25 -> 35 [size =\"14353408\"]\n  25 -> 36 [size =\"14353408\"]\n  26 [size=\"85800960\", alpha=\"0.11\", expect_size=\"42900480\"] \n  26 -> 31 [size =\"42900480\"]\n  26 -> 32 [size =\"42900480\"]\n  26 -> 35 [size =\"42900480\"]\n  26 -> 36 [size =\"42900480\"]\n  27 [size=\"95524864\", alpha=\"0.15\", expect_size=\"47762432\"] \n  27 -> 31 [size =\"47762432\"]\n  28 [size=\"16140288\", alpha=\"0.05\", expect_size=\"8070144\"] \n  28 -> 31 [size =\"8070144\"]\n  28 -> 32 [size =\"8070144\"]\n  28 -> 34 [size =\"8070144\"]\n  28 -> 36 [size =\"8070144\"]\n  29 [size=\"90959872\", alpha=\"0.18\", expect_size=\"45479936\"] \n  29 -> 32 [size =\"45479936\"]\n  29 -> 35 [size =\"45479936\"]\n  30 [size=\"38899712\", alpha=\"0.09\", expect_size=\"19449856\"] \n  30 -> 32 [size =\"19449856\"]\n  30 -> 33 [size =\"19449856\"]\n  30 -> 34 [size =\"19449856\"]\n  30 -> 35 [size =\"19449856\"]\n  30 -> 36 [size =\"19449856\"]\n  31 [size=\"93702144\", alpha=\"0.17\", expect_size=\"46851072\"] \n  31 -> 37 [size =\"46851072\"]\n  31 -> 39 [size =\"46851072\"]\n  31 -> 40 [size =\"46851072\"]\n  31 -> 41 [size =\"46851072\"]\n  31 -> 43 [size =\"46851072\"]\n  32 [size=\"44283904\", alpha=\"0.10\", expect_size=\"22141952\"] \n  32 -> 37 [size =\"22141952\"]\n  32 -> 39 [size =\"22141952\"]\n  32 -> 40 [size =\"22141952\"]\n  32 -> 41 [size =\"22141952\"]\n  32 -> 42 [size =\"22141952\"]\n  33 [size=\"44296192\", alpha=\"0.15\", expect_size=\"22148096\"] \n  33 -> 38 [size =\"22148096\"]\n  33 -> 41 [size =\"22148096\"]\n  33 -> 42 [size =\"22148096\"]\n  33 -> 43 [size =\"22148096\"]\n  34 [size=\"91549696\", alpha=\"0.05\", expect_size=\"45774848\"] \n  34 -> 39 [size =\"45774848\"]\n  34 -> 40 [size =\"45774848\"]\n  34 -> 42 [size =\"45774848\"]\n  34 -> 43 [size =\"45774848\"]\n  35 [size=\"67653632\", alpha=\"0.16\", expect_size=\"33826816\"] \n  35 -> 38 [size =\"33826816\"]\n  35 -> 41 [size =\"33826816\"]\n  35 -> 42 [size =\"33826816\"]\n  36 [size=\"88700928\", alpha=\"0.12\", expect_size=\"44350464\"] \n  36 -> 38 [size =\"44350464\"]\n  36 -> 39 [size =\"44350464\"]\n  36 -> 40 [size =\"44350464\"]\n  36 -> 42 [size =\"44350464\"]\n  36 -> 43 [size =\"44350464\"]\n  36 -> 44 [size =\"44350464\"]\n  37 [size=\"48113664\", alpha=\"0.05\", expect_size=\"24056832\"] \n  37 -> 46 [size =\"24056832\"]\n  37 -> 47 [size =\"24056832\"]\n  37 -> 47 [size =\"24056832\"]\n  37 -> 50 [size =\"24056832\"]\n  38 [size=\"24934400\", alpha=\"0.02\", expect_size=\"12467200\"] \n  38 -> 45 [size =\"12467200\"]\n  38 -> 46 [size =\"12467200\"]\n  38 -> 49 [size =\"12467200\"]\n  38 -> 50 [size =\"12467200\"]\n  39 [size=\"50139136\", alpha=\"0.12\", expect_size=\"25069568\"] \n  39 -> 45 [size =\"25069568\"]\n  39 -> 46 [size =\"25069568\"]\n  40 [size=\"42207232\", alpha=\"0.05\", expect_size=\"21103616\"] \n  40 -> 45 [size =\"21103616\"]\n  40 -> 46 [size =\"21103616\"]\n  40 -> 49 [size =\"21103616\"]\n  41 [size=\"85239808\", alpha=\"0.03\", expect_size=\"42619904\"] \n  41 -> 45 [size =\"42619904\"]\n  41 -> 47 [size =\"42619904\"]\n  41 -> 49 [size =\"42619904\"]\n  42 [size=\"68775936\", alpha=\"0.20\", expect_size=\"34387968\"] \n  42 -> 45 [size =\"34387968\"]\n  42 -> 47 [size =\"34387968\"]\n  42 -> 49 [size =\"34387968\"]\n  42 -> 50 [size =\"34387968\"]\n  43 [size=\"21905408\", alpha=\"0.18\", expect_size=\"10952704\"] \n  43 -> 46 [size =\"10952704\"]\n  43 -> 47 [size =\"10952704\"]\n  43 -> 48 [size =\"10952704\"]\n  44 [size=\"91777024\", alpha=\"0.02\", expect_size=\"45888512\"] \n  44 -> 45 [size =\"45888512\"]\n  44 -> 46 [size =\"45888512\"]\n  44 -> 47 [size =\"45888512\"]\n  45 [size=\"18890752\", alpha=\"0.09\", expect_size=\"9445376\"] \n  46 [size=\"96595968\", alpha=\"0.13\", expect_size=\"48297984\"] \n  47 [size=\"58519552\", alpha=\"0.14\", expect_size=\"29259776\"] \n  48 [size=\"81758208\", alpha=\"0.17\", expect_size=\"40879104\"] \n  49 [size=\"91291648\", alpha=\"0.17\", expect_size=\"45645824\"] \n  50 [size=\"55613440\", alpha=\"0.02\", expect_size=\"27806720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.565.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19800064\", alpha=\"0.17\", expect_size=\"9900032\"] \n  1 -> 24 [size =\"9900032\"]\n  1 -> 27 [size =\"9900032\"]\n  1 -> 28 [size =\"9900032\"]\n  1 -> 29 [size =\"9900032\"]\n  1 -> 31 [size =\"9900032\"]\n  1 -> 36 [size =\"9900032\"]\n  1 -> 37 [size =\"9900032\"]\n  1 -> 40 [size =\"9900032\"]\n  1 -> 44 [size =\"9900032\"]\n  1 -> 48 [size =\"9900032\"]\n  1 -> 49 [size =\"9900032\"]\n  2 [size=\"23033856\", alpha=\"0.17\", expect_size=\"11516928\"] \n  2 -> 26 [size =\"11516928\"]\n  2 -> 27 [size =\"11516928\"]\n  2 -> 28 [size =\"11516928\"]\n  2 -> 31 [size =\"11516928\"]\n  2 -> 32 [size =\"11516928\"]\n  2 -> 36 [size =\"11516928\"]\n  2 -> 40 [size =\"11516928\"]\n  2 -> 40 [size =\"11516928\"]\n  2 -> 46 [size =\"11516928\"]\n  2 -> 47 [size =\"11516928\"]\n  2 -> 49 [size =\"11516928\"]\n  3 [size=\"79140864\", alpha=\"0.13\", expect_size=\"39570432\"] \n  3 -> 24 [size =\"39570432\"]\n  3 -> 27 [size =\"39570432\"]\n  3 -> 28 [size =\"39570432\"]\n  3 -> 37 [size =\"39570432\"]\n  3 -> 40 [size =\"39570432\"]\n  3 -> 42 [size =\"39570432\"]\n  3 -> 48 [size =\"39570432\"]\n  3 -> 50 [size =\"39570432\"]\n  4 [size=\"29358080\", alpha=\"0.12\", expect_size=\"14679040\"] \n  4 -> 24 [size =\"14679040\"]\n  4 -> 26 [size =\"14679040\"]\n  4 -> 27 [size =\"14679040\"]\n  4 -> 28 [size =\"14679040\"]\n  4 -> 29 [size =\"14679040\"]\n  4 -> 30 [size =\"14679040\"]\n  4 -> 31 [size =\"14679040\"]\n  4 -> 36 [size =\"14679040\"]\n  4 -> 37 [size =\"14679040\"]\n  4 -> 39 [size =\"14679040\"]\n  4 -> 40 [size =\"14679040\"]\n  4 -> 41 [size =\"14679040\"]\n  4 -> 42 [size =\"14679040\"]\n  4 -> 44 [size =\"14679040\"]\n  4 -> 47 [size =\"14679040\"]\n  4 -> 49 [size =\"14679040\"]\n  4 -> 50 [size =\"14679040\"]\n  5 [size=\"17766400\", alpha=\"0.02\", expect_size=\"8883200\"] \n  5 -> 24 [size =\"8883200\"]\n  5 -> 26 [size =\"8883200\"]\n  5 -> 27 [size =\"8883200\"]\n  5 -> 28 [size =\"8883200\"]\n  5 -> 30 [size =\"8883200\"]\n  5 -> 34 [size =\"8883200\"]\n  5 -> 36 [size =\"8883200\"]\n  5 -> 40 [size =\"8883200\"]\n  5 -> 41 [size =\"8883200\"]\n  5 -> 43 [size =\"8883200\"]\n  5 -> 44 [size =\"8883200\"]\n  5 -> 46 [size =\"8883200\"]\n  5 -> 49 [size =\"8883200\"]\n  5 -> 50 [size =\"8883200\"]\n  6 [size=\"39909376\", alpha=\"0.01\", expect_size=\"19954688\"] \n  6 -> 24 [size =\"19954688\"]\n  6 -> 28 [size =\"19954688\"]\n  6 -> 31 [size =\"19954688\"]\n  6 -> 32 [size =\"19954688\"]\n  6 -> 33 [size =\"19954688\"]\n  6 -> 34 [size =\"19954688\"]\n  6 -> 37 [size =\"19954688\"]\n  6 -> 40 [size =\"19954688\"]\n  6 -> 41 [size =\"19954688\"]\n  6 -> 47 [size =\"19954688\"]\n  6 -> 48 [size =\"19954688\"]\n  6 -> 49 [size =\"19954688\"]\n  6 -> 49 [size =\"19954688\"]\n  6 -> 50 [size =\"19954688\"]\n  7 [size=\"41629696\", alpha=\"0.16\", expect_size=\"20814848\"] \n  7 -> 28 [size =\"20814848\"]\n  7 -> 28 [size =\"20814848\"]\n  7 -> 30 [size =\"20814848\"]\n  7 -> 31 [size =\"20814848\"]\n  7 -> 32 [size =\"20814848\"]\n  7 -> 34 [size =\"20814848\"]\n  7 -> 36 [size =\"20814848\"]\n  7 -> 37 [size =\"20814848\"]\n  7 -> 41 [size =\"20814848\"]\n  7 -> 49 [size =\"20814848\"]\n  7 -> 50 [size =\"20814848\"]\n  8 [size=\"35588096\", alpha=\"0.06\", expect_size=\"17794048\"] \n  8 -> 24 [size =\"17794048\"]\n  8 -> 28 [size =\"17794048\"]\n  8 -> 32 [size =\"17794048\"]\n  8 -> 36 [size =\"17794048\"]\n  8 -> 37 [size =\"17794048\"]\n  8 -> 39 [size =\"17794048\"]\n  8 -> 40 [size =\"17794048\"]\n  8 -> 42 [size =\"17794048\"]\n  8 -> 49 [size =\"17794048\"]\n  8 -> 49 [size =\"17794048\"]\n  8 -> 50 [size =\"17794048\"]\n  9 [size=\"11024384\", alpha=\"0.11\", expect_size=\"5512192\"] \n  9 -> 27 [size =\"5512192\"]\n  9 -> 28 [size =\"5512192\"]\n  9 -> 29 [size =\"5512192\"]\n  9 -> 32 [size =\"5512192\"]\n  9 -> 33 [size =\"5512192\"]\n  9 -> 34 [size =\"5512192\"]\n  9 -> 36 [size =\"5512192\"]\n  9 -> 40 [size =\"5512192\"]\n  9 -> 42 [size =\"5512192\"]\n  9 -> 45 [size =\"5512192\"]\n  9 -> 49 [size =\"5512192\"]\n  10 [size=\"38565888\", alpha=\"0.11\", expect_size=\"19282944\"] \n  10 -> 25 [size =\"19282944\"]\n  10 -> 28 [size =\"19282944\"]\n  10 -> 29 [size =\"19282944\"]\n  10 -> 33 [size =\"19282944\"]\n  10 -> 36 [size =\"19282944\"]\n  10 -> 37 [size =\"19282944\"]\n  10 -> 40 [size =\"19282944\"]\n  10 -> 42 [size =\"19282944\"]\n  10 -> 46 [size =\"19282944\"]\n  10 -> 47 [size =\"19282944\"]\n  10 -> 48 [size =\"19282944\"]\n  10 -> 49 [size =\"19282944\"]\n  10 -> 50 [size =\"19282944\"]\n  11 [size=\"24795136\", alpha=\"0.19\", expect_size=\"12397568\"] \n  11 -> 24 [size =\"12397568\"]\n  11 -> 28 [size =\"12397568\"]\n  11 -> 29 [size =\"12397568\"]\n  11 -> 30 [size =\"12397568\"]\n  11 -> 33 [size =\"12397568\"]\n  11 -> 36 [size =\"12397568\"]\n  11 -> 39 [size =\"12397568\"]\n  11 -> 42 [size =\"12397568\"]\n  11 -> 48 [size =\"12397568\"]\n  11 -> 49 [size =\"12397568\"]\n  11 -> 50 [size =\"12397568\"]\n  12 [size=\"10866688\", alpha=\"0.13\", expect_size=\"5433344\"] \n  12 -> 24 [size =\"5433344\"]\n  12 -> 27 [size =\"5433344\"]\n  12 -> 29 [size =\"5433344\"]\n  12 -> 35 [size =\"5433344\"]\n  12 -> 39 [size =\"5433344\"]\n  12 -> 40 [size =\"5433344\"]\n  12 -> 41 [size =\"5433344\"]\n  12 -> 45 [size =\"5433344\"]\n  12 -> 46 [size =\"5433344\"]\n  12 -> 47 [size =\"5433344\"]\n  12 -> 49 [size =\"5433344\"]\n  12 -> 50 [size =\"5433344\"]\n  13 [size=\"92225536\", alpha=\"0.16\", expect_size=\"46112768\"] \n  13 -> 26 [size =\"46112768\"]\n  13 -> 27 [size =\"46112768\"]\n  13 -> 28 [size =\"46112768\"]\n  13 -> 31 [size =\"46112768\"]\n  13 -> 32 [size =\"46112768\"]\n  13 -> 33 [size =\"46112768\"]\n  13 -> 36 [size =\"46112768\"]\n  13 -> 39 [size =\"46112768\"]\n  13 -> 45 [size =\"46112768\"]\n  13 -> 49 [size =\"46112768\"]\n  13 -> 50 [size =\"46112768\"]\n  13 -> 50 [size =\"46112768\"]\n  14 [size=\"59899904\", alpha=\"0.07\", expect_size=\"29949952\"] \n  14 -> 24 [size =\"29949952\"]\n  14 -> 26 [size =\"29949952\"]\n  14 -> 27 [size =\"29949952\"]\n  14 -> 28 [size =\"29949952\"]\n  14 -> 29 [size =\"29949952\"]\n  14 -> 34 [size =\"29949952\"]\n  14 -> 36 [size =\"29949952\"]\n  14 -> 39 [size =\"29949952\"]\n  14 -> 41 [size =\"29949952\"]\n  14 -> 47 [size =\"29949952\"]\n  14 -> 50 [size =\"29949952\"]\n  15 [size=\"21446656\", alpha=\"0.10\", expect_size=\"10723328\"] \n  15 -> 24 [size =\"10723328\"]\n  15 -> 27 [size =\"10723328\"]\n  15 -> 27 [size =\"10723328\"]\n  15 -> 28 [size =\"10723328\"]\n  15 -> 30 [size =\"10723328\"]\n  15 -> 31 [size =\"10723328\"]\n  15 -> 36 [size =\"10723328\"]\n  15 -> 39 [size =\"10723328\"]\n  15 -> 40 [size =\"10723328\"]\n  15 -> 47 [size =\"10723328\"]\n  15 -> 48 [size =\"10723328\"]\n  15 -> 49 [size =\"10723328\"]\n  15 -> 50 [size =\"10723328\"]\n  16 [size=\"33058816\", alpha=\"0.15\", expect_size=\"16529408\"] \n  16 -> 24 [size =\"16529408\"]\n  16 -> 27 [size =\"16529408\"]\n  16 -> 28 [size =\"16529408\"]\n  16 -> 30 [size =\"16529408\"]\n  16 -> 32 [size =\"16529408\"]\n  16 -> 34 [size =\"16529408\"]\n  16 -> 36 [size =\"16529408\"]\n  16 -> 39 [size =\"16529408\"]\n  16 -> 44 [size =\"16529408\"]\n  16 -> 47 [size =\"16529408\"]\n  16 -> 49 [size =\"16529408\"]\n  16 -> 49 [size =\"16529408\"]\n  16 -> 50 [size =\"16529408\"]\n  17 [size=\"39747584\", alpha=\"0.09\", expect_size=\"19873792\"] \n  17 -> 24 [size =\"19873792\"]\n  17 -> 26 [size =\"19873792\"]\n  17 -> 27 [size =\"19873792\"]\n  17 -> 29 [size =\"19873792\"]\n  17 -> 31 [size =\"19873792\"]\n  17 -> 36 [size =\"19873792\"]\n  17 -> 39 [size =\"19873792\"]\n  17 -> 43 [size =\"19873792\"]\n  17 -> 49 [size =\"19873792\"]\n  17 -> 50 [size =\"19873792\"]\n  18 [size=\"20531200\", alpha=\"0.03\", expect_size=\"10265600\"] \n  18 -> 24 [size =\"10265600\"]\n  18 -> 27 [size =\"10265600\"]\n  18 -> 33 [size =\"10265600\"]\n  18 -> 40 [size =\"10265600\"]\n  18 -> 43 [size =\"10265600\"]\n  18 -> 44 [size =\"10265600\"]\n  18 -> 46 [size =\"10265600\"]\n  18 -> 50 [size =\"10265600\"]\n  19 [size=\"50737152\", alpha=\"0.18\", expect_size=\"25368576\"] \n  19 -> 24 [size =\"25368576\"]\n  19 -> 26 [size =\"25368576\"]\n  19 -> 27 [size =\"25368576\"]\n  19 -> 29 [size =\"25368576\"]\n  19 -> 32 [size =\"25368576\"]\n  19 -> 33 [size =\"25368576\"]\n  19 -> 39 [size =\"25368576\"]\n  19 -> 44 [size =\"25368576\"]\n  19 -> 49 [size =\"25368576\"]\n  19 -> 50 [size =\"25368576\"]\n  20 [size=\"101859328\", alpha=\"0.12\", expect_size=\"50929664\"] \n  20 -> 24 [size =\"50929664\"]\n  20 -> 25 [size =\"50929664\"]\n  20 -> 29 [size =\"50929664\"]\n  20 -> 32 [size =\"50929664\"]\n  20 -> 36 [size =\"50929664\"]\n  20 -> 37 [size =\"50929664\"]\n  20 -> 38 [size =\"50929664\"]\n  20 -> 42 [size =\"50929664\"]\n  20 -> 44 [size =\"50929664\"]\n  20 -> 49 [size =\"50929664\"]\n  20 -> 50 [size =\"50929664\"]\n  21 [size=\"61444096\", alpha=\"0.09\", expect_size=\"30722048\"] \n  21 -> 24 [size =\"30722048\"]\n  21 -> 25 [size =\"30722048\"]\n  21 -> 26 [size =\"30722048\"]\n  21 -> 28 [size =\"30722048\"]\n  21 -> 30 [size =\"30722048\"]\n  21 -> 31 [size =\"30722048\"]\n  21 -> 36 [size =\"30722048\"]\n  21 -> 37 [size =\"30722048\"]\n  21 -> 40 [size =\"30722048\"]\n  21 -> 41 [size =\"30722048\"]\n  21 -> 42 [size =\"30722048\"]\n  21 -> 43 [size =\"30722048\"]\n  21 -> 44 [size =\"30722048\"]\n  21 -> 47 [size =\"30722048\"]\n  22 [size=\"58935296\", alpha=\"0.08\", expect_size=\"29467648\"] \n  22 -> 26 [size =\"29467648\"]\n  22 -> 27 [size =\"29467648\"]\n  22 -> 30 [size =\"29467648\"]\n  22 -> 31 [size =\"29467648\"]\n  22 -> 33 [size =\"29467648\"]\n  22 -> 36 [size =\"29467648\"]\n  22 -> 39 [size =\"29467648\"]\n  22 -> 40 [size =\"29467648\"]\n  22 -> 41 [size =\"29467648\"]\n  22 -> 44 [size =\"29467648\"]\n  22 -> 46 [size =\"29467648\"]\n  22 -> 47 [size =\"29467648\"]\n  23 [size=\"25116672\", alpha=\"0.02\", expect_size=\"12558336\"] \n  23 -> 24 [size =\"12558336\"]\n  23 -> 26 [size =\"12558336\"]\n  23 -> 32 [size =\"12558336\"]\n  23 -> 34 [size =\"12558336\"]\n  23 -> 36 [size =\"12558336\"]\n  23 -> 40 [size =\"12558336\"]\n  23 -> 44 [size =\"12558336\"]\n  23 -> 47 [size =\"12558336\"]\n  23 -> 49 [size =\"12558336\"]\n  24 [size=\"100550656\", alpha=\"0.20\", expect_size=\"50275328\"] \n  25 [size=\"40564736\", alpha=\"0.19\", expect_size=\"20282368\"] \n  26 [size=\"86687744\", alpha=\"0.05\", expect_size=\"43343872\"] \n  27 [size=\"63137792\", alpha=\"0.17\", expect_size=\"31568896\"] \n  28 [size=\"11110400\", alpha=\"0.14\", expect_size=\"5555200\"] \n  29 [size=\"23599104\", alpha=\"0.12\", expect_size=\"11799552\"] \n  30 [size=\"12498944\", alpha=\"0.15\", expect_size=\"6249472\"] \n  31 [size=\"70307840\", alpha=\"0.02\", expect_size=\"35153920\"] \n  32 [size=\"17596416\", alpha=\"0.09\", expect_size=\"8798208\"] \n  33 [size=\"55656448\", alpha=\"0.13\", expect_size=\"27828224\"] \n  34 [size=\"64401408\", alpha=\"0.07\", expect_size=\"32200704\"] \n  35 [size=\"62703616\", alpha=\"0.04\", expect_size=\"31351808\"] \n  36 [size=\"57845760\", alpha=\"0.05\", expect_size=\"28922880\"] \n  37 [size=\"79247360\", alpha=\"0.13\", expect_size=\"39623680\"] \n  38 [size=\"63684608\", alpha=\"0.03\", expect_size=\"31842304\"] \n  39 [size=\"36263936\", alpha=\"0.01\", expect_size=\"18131968\"] \n  40 [size=\"91893760\", alpha=\"0.19\", expect_size=\"45946880\"] \n  41 [size=\"69914624\", alpha=\"0.08\", expect_size=\"34957312\"] \n  42 [size=\"79007744\", alpha=\"0.07\", expect_size=\"39503872\"] \n  43 [size=\"25182208\", alpha=\"0.09\", expect_size=\"12591104\"] \n  44 [size=\"84553728\", alpha=\"0.10\", expect_size=\"42276864\"] \n  45 [size=\"23416832\", alpha=\"0.17\", expect_size=\"11708416\"] \n  46 [size=\"41480192\", alpha=\"0.01\", expect_size=\"20740096\"] \n  47 [size=\"66945024\", alpha=\"0.15\", expect_size=\"33472512\"] \n  48 [size=\"34701312\", alpha=\"0.10\", expect_size=\"17350656\"] \n  49 [size=\"49168384\", alpha=\"0.08\", expect_size=\"24584192\"] \n  50 [size=\"56227840\", alpha=\"0.06\", expect_size=\"28113920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.566.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28907520\", alpha=\"0.03\", expect_size=\"14453760\"] \n  1 -> 5 [size =\"14453760\"]\n  1 -> 6 [size =\"14453760\"]\n  2 [size=\"83247104\", alpha=\"0.13\", expect_size=\"41623552\"] \n  2 -> 4 [size =\"41623552\"]\n  2 -> 6 [size =\"41623552\"]\n  3 [size=\"78252032\", alpha=\"0.19\", expect_size=\"39126016\"] \n  3 -> 6 [size =\"39126016\"]\n  4 [size=\"54241280\", alpha=\"0.13\", expect_size=\"27120640\"] \n  4 -> 7 [size =\"27120640\"]\n  4 -> 8 [size =\"27120640\"]\n  4 -> 9 [size =\"27120640\"]\n  5 [size=\"58062848\", alpha=\"0.15\", expect_size=\"29031424\"] \n  5 -> 7 [size =\"29031424\"]\n  5 -> 8 [size =\"29031424\"]\n  6 [size=\"94736384\", alpha=\"0.11\", expect_size=\"47368192\"] \n  6 -> 7 [size =\"47368192\"]\n  6 -> 8 [size =\"47368192\"]\n  6 -> 9 [size =\"47368192\"]\n  7 [size=\"31041536\", alpha=\"0.12\", expect_size=\"15520768\"] \n  7 -> 10 [size =\"15520768\"]\n  8 [size=\"65517568\", alpha=\"0.03\", expect_size=\"32758784\"] \n  8 -> 10 [size =\"32758784\"]\n  9 [size=\"22183936\", alpha=\"0.09\", expect_size=\"11091968\"] \n  9 -> 10 [size =\"11091968\"]\n  10 [size=\"35844096\", alpha=\"0.19\", expect_size=\"17922048\"] \n  10 -> 11 [size =\"17922048\"]\n  10 -> 12 [size =\"17922048\"]\n  11 [size=\"64401408\", alpha=\"0.19\", expect_size=\"32200704\"] \n  12 [size=\"77395968\", alpha=\"0.07\", expect_size=\"38697984\"] \n  12 -> 13 [size =\"38697984\"]\n  13 [size=\"42919936\", alpha=\"0.15\", expect_size=\"21459968\"] \n  13 -> 14 [size =\"21459968\"]\n  13 -> 15 [size =\"21459968\"]\n  14 [size=\"38596608\", alpha=\"0.17\", expect_size=\"19298304\"] \n  14 -> 17 [size =\"19298304\"]\n  14 -> 19 [size =\"19298304\"]\n  15 [size=\"100507648\", alpha=\"0.03\", expect_size=\"50253824\"] \n  15 -> 16 [size =\"50253824\"]\n  15 -> 18 [size =\"50253824\"]\n  15 -> 19 [size =\"50253824\"]\n  16 [size=\"74833920\", alpha=\"0.08\", expect_size=\"37416960\"] \n  16 -> 21 [size =\"37416960\"]\n  16 -> 23 [size =\"37416960\"]\n  17 [size=\"33599488\", alpha=\"0.17\", expect_size=\"16799744\"] \n  17 -> 20 [size =\"16799744\"]\n  17 -> 23 [size =\"16799744\"]\n  18 [size=\"88590336\", alpha=\"0.09\", expect_size=\"44295168\"] \n  18 -> 20 [size =\"44295168\"]\n  18 -> 21 [size =\"44295168\"]\n  18 -> 23 [size =\"44295168\"]\n  19 [size=\"101607424\", alpha=\"0.11\", expect_size=\"50803712\"] \n  19 -> 20 [size =\"50803712\"]\n  19 -> 21 [size =\"50803712\"]\n  19 -> 22 [size =\"50803712\"]\n  19 -> 23 [size =\"50803712\"]\n  20 [size=\"51775488\", alpha=\"0.11\", expect_size=\"25887744\"] \n  20 -> 24 [size =\"25887744\"]\n  21 [size=\"46024704\", alpha=\"0.15\", expect_size=\"23012352\"] \n  21 -> 24 [size =\"23012352\"]\n  22 [size=\"40175616\", alpha=\"0.14\", expect_size=\"20087808\"] \n  22 -> 24 [size =\"20087808\"]\n  22 -> 25 [size =\"20087808\"]\n  23 [size=\"73396224\", alpha=\"0.07\", expect_size=\"36698112\"] \n  24 [size=\"51101696\", alpha=\"0.10\", expect_size=\"25550848\"] \n  24 -> 26 [size =\"25550848\"]\n  24 -> 27 [size =\"25550848\"]\n  25 [size=\"37232640\", alpha=\"0.03\", expect_size=\"18616320\"] \n  25 -> 26 [size =\"18616320\"]\n  26 [size=\"52301824\", alpha=\"0.13\", expect_size=\"26150912\"] \n  26 -> 28 [size =\"26150912\"]\n  27 [size=\"91459584\", alpha=\"0.08\", expect_size=\"45729792\"] \n  27 -> 28 [size =\"45729792\"]\n  28 [size=\"76595200\", alpha=\"0.15\", expect_size=\"38297600\"] \n  28 -> 29 [size =\"38297600\"]\n  28 -> 30 [size =\"38297600\"]\n  29 [size=\"25769984\", alpha=\"0.04\", expect_size=\"12884992\"] \n  29 -> 31 [size =\"12884992\"]\n  30 [size=\"78743552\", alpha=\"0.19\", expect_size=\"39371776\"] \n  30 -> 31 [size =\"39371776\"]\n  30 -> 32 [size =\"39371776\"]\n  31 [size=\"36255744\", alpha=\"0.05\", expect_size=\"18127872\"] \n  31 -> 33 [size =\"18127872\"]\n  31 -> 35 [size =\"18127872\"]\n  32 [size=\"11102208\", alpha=\"0.05\", expect_size=\"5551104\"] \n  32 -> 33 [size =\"5551104\"]\n  32 -> 34 [size =\"5551104\"]\n  32 -> 35 [size =\"5551104\"]\n  33 [size=\"76044288\", alpha=\"0.12\", expect_size=\"38022144\"] \n  33 -> 36 [size =\"38022144\"]\n  33 -> 37 [size =\"38022144\"]\n  33 -> 38 [size =\"38022144\"]\n  34 [size=\"15734784\", alpha=\"0.05\", expect_size=\"7867392\"] \n  34 -> 36 [size =\"7867392\"]\n  34 -> 37 [size =\"7867392\"]\n  34 -> 38 [size =\"7867392\"]\n  35 [size=\"62672896\", alpha=\"0.17\", expect_size=\"31336448\"] \n  35 -> 36 [size =\"31336448\"]\n  35 -> 38 [size =\"31336448\"]\n  36 [size=\"75694080\", alpha=\"0.03\", expect_size=\"37847040\"] \n  36 -> 40 [size =\"37847040\"]\n  37 [size=\"44679168\", alpha=\"0.13\", expect_size=\"22339584\"] \n  37 -> 39 [size =\"22339584\"]\n  37 -> 40 [size =\"22339584\"]\n  38 [size=\"84557824\", alpha=\"0.00\", expect_size=\"42278912\"] \n  38 -> 40 [size =\"42278912\"]\n  39 [size=\"61618176\", alpha=\"0.07\", expect_size=\"30809088\"] \n  39 -> 42 [size =\"30809088\"]\n  40 [size=\"81930240\", alpha=\"0.02\", expect_size=\"40965120\"] \n  40 -> 41 [size =\"40965120\"]\n  40 -> 42 [size =\"40965120\"]\n  41 [size=\"76484608\", alpha=\"0.05\", expect_size=\"38242304\"] \n  41 -> 43 [size =\"38242304\"]\n  42 [size=\"99194880\", alpha=\"0.14\", expect_size=\"49597440\"] \n  42 -> 43 [size =\"49597440\"]\n  43 [size=\"28227584\", alpha=\"0.16\", expect_size=\"14113792\"] \n  43 -> 44 [size =\"14113792\"]\n  43 -> 45 [size =\"14113792\"]\n  43 -> 46 [size =\"14113792\"]\n  43 -> 47 [size =\"14113792\"]\n  44 [size=\"84764672\", alpha=\"0.07\", expect_size=\"42382336\"] \n  44 -> 49 [size =\"42382336\"]\n  45 [size=\"13801472\", alpha=\"0.04\", expect_size=\"6900736\"] \n  46 [size=\"94103552\", alpha=\"0.09\", expect_size=\"47051776\"] \n  46 -> 48 [size =\"47051776\"]\n  47 [size=\"12533760\", alpha=\"0.12\", expect_size=\"6266880\"] \n  47 -> 48 [size =\"6266880\"]\n  47 -> 49 [size =\"6266880\"]\n  48 [size=\"75319296\", alpha=\"0.09\", expect_size=\"37659648\"] \n  48 -> 50 [size =\"37659648\"]\n  49 [size=\"77455360\", alpha=\"0.09\", expect_size=\"38727680\"] \n  49 -> 50 [size =\"38727680\"]\n  50 [size=\"15687680\", alpha=\"0.03\", expect_size=\"7843840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.567.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49062400\", alpha=\"0.02\", expect_size=\"19624960\"] \n  1 -> 34 [size =\"19624960\"]\n  1 -> 38 [size =\"19624960\"]\n  1 -> 41 [size =\"19624960\"]\n  1 -> 47 [size =\"19624960\"]\n  2 [size=\"14402560\", alpha=\"0.11\", expect_size=\"5761024\"] \n  2 -> 36 [size =\"5761024\"]\n  2 -> 38 [size =\"5761024\"]\n  2 -> 41 [size =\"5761024\"]\n  2 -> 42 [size =\"5761024\"]\n  2 -> 47 [size =\"5761024\"]\n  2 -> 48 [size =\"5761024\"]\n  2 -> 50 [size =\"5761024\"]\n  3 [size=\"124385280\", alpha=\"0.14\", expect_size=\"49754112\"] \n  3 -> 34 [size =\"49754112\"]\n  3 -> 35 [size =\"49754112\"]\n  3 -> 36 [size =\"49754112\"]\n  3 -> 41 [size =\"49754112\"]\n  3 -> 42 [size =\"49754112\"]\n  3 -> 43 [size =\"49754112\"]\n  3 -> 45 [size =\"49754112\"]\n  3 -> 47 [size =\"49754112\"]\n  3 -> 48 [size =\"49754112\"]\n  4 [size=\"53260800\", alpha=\"0.06\", expect_size=\"21304320\"] \n  4 -> 33 [size =\"21304320\"]\n  4 -> 36 [size =\"21304320\"]\n  4 -> 38 [size =\"21304320\"]\n  4 -> 40 [size =\"21304320\"]\n  4 -> 42 [size =\"21304320\"]\n  4 -> 45 [size =\"21304320\"]\n  4 -> 46 [size =\"21304320\"]\n  4 -> 47 [size =\"21304320\"]\n  4 -> 48 [size =\"21304320\"]\n  5 [size=\"17259520\", alpha=\"0.07\", expect_size=\"6903808\"] \n  5 -> 34 [size =\"6903808\"]\n  5 -> 36 [size =\"6903808\"]\n  5 -> 37 [size =\"6903808\"]\n  5 -> 38 [size =\"6903808\"]\n  5 -> 41 [size =\"6903808\"]\n  5 -> 44 [size =\"6903808\"]\n  5 -> 45 [size =\"6903808\"]\n  5 -> 47 [size =\"6903808\"]\n  5 -> 48 [size =\"6903808\"]\n  5 -> 49 [size =\"6903808\"]\n  6 [size=\"114449920\", alpha=\"0.14\", expect_size=\"45779968\"] \n  6 -> 35 [size =\"45779968\"]\n  6 -> 36 [size =\"45779968\"]\n  6 -> 37 [size =\"45779968\"]\n  6 -> 38 [size =\"45779968\"]\n  6 -> 43 [size =\"45779968\"]\n  6 -> 45 [size =\"45779968\"]\n  6 -> 46 [size =\"45779968\"]\n  6 -> 48 [size =\"45779968\"]\n  6 -> 48 [size =\"45779968\"]\n  6 -> 50 [size =\"45779968\"]\n  7 [size=\"25856000\", alpha=\"0.12\", expect_size=\"10342400\"] \n  7 -> 33 [size =\"10342400\"]\n  7 -> 34 [size =\"10342400\"]\n  7 -> 37 [size =\"10342400\"]\n  7 -> 38 [size =\"10342400\"]\n  7 -> 45 [size =\"10342400\"]\n  7 -> 47 [size =\"10342400\"]\n  7 -> 50 [size =\"10342400\"]\n  8 [size=\"41085440\", alpha=\"0.14\", expect_size=\"16434176\"] \n  8 -> 33 [size =\"16434176\"]\n  8 -> 34 [size =\"16434176\"]\n  8 -> 35 [size =\"16434176\"]\n  8 -> 36 [size =\"16434176\"]\n  8 -> 37 [size =\"16434176\"]\n  8 -> 39 [size =\"16434176\"]\n  8 -> 46 [size =\"16434176\"]\n  8 -> 47 [size =\"16434176\"]\n  9 [size=\"51942400\", alpha=\"0.18\", expect_size=\"20776960\"] \n  9 -> 33 [size =\"20776960\"]\n  9 -> 35 [size =\"20776960\"]\n  9 -> 37 [size =\"20776960\"]\n  9 -> 41 [size =\"20776960\"]\n  9 -> 43 [size =\"20776960\"]\n  9 -> 45 [size =\"20776960\"]\n  9 -> 49 [size =\"20776960\"]\n  10 [size=\"17192960\", alpha=\"0.07\", expect_size=\"6877184\"] \n  10 -> 35 [size =\"6877184\"]\n  10 -> 35 [size =\"6877184\"]\n  10 -> 36 [size =\"6877184\"]\n  10 -> 38 [size =\"6877184\"]\n  10 -> 41 [size =\"6877184\"]\n  10 -> 47 [size =\"6877184\"]\n  10 -> 49 [size =\"6877184\"]\n  10 -> 50 [size =\"6877184\"]\n  11 [size=\"76549120\", alpha=\"0.01\", expect_size=\"30619648\"] \n  11 -> 36 [size =\"30619648\"]\n  11 -> 43 [size =\"30619648\"]\n  11 -> 45 [size =\"30619648\"]\n  11 -> 48 [size =\"30619648\"]\n  11 -> 49 [size =\"30619648\"]\n  11 -> 50 [size =\"30619648\"]\n  12 [size=\"86538240\", alpha=\"0.13\", expect_size=\"34615296\"] \n  12 -> 34 [size =\"34615296\"]\n  12 -> 36 [size =\"34615296\"]\n  12 -> 43 [size =\"34615296\"]\n  12 -> 45 [size =\"34615296\"]\n  12 -> 46 [size =\"34615296\"]\n  12 -> 47 [size =\"34615296\"]\n  12 -> 48 [size =\"34615296\"]\n  12 -> 49 [size =\"34615296\"]\n  12 -> 50 [size =\"34615296\"]\n  13 [size=\"31994880\", alpha=\"0.13\", expect_size=\"12797952\"] \n  13 -> 34 [size =\"12797952\"]\n  13 -> 36 [size =\"12797952\"]\n  13 -> 38 [size =\"12797952\"]\n  13 -> 39 [size =\"12797952\"]\n  13 -> 40 [size =\"12797952\"]\n  13 -> 41 [size =\"12797952\"]\n  13 -> 45 [size =\"12797952\"]\n  13 -> 48 [size =\"12797952\"]\n  13 -> 49 [size =\"12797952\"]\n  13 -> 50 [size =\"12797952\"]\n  14 [size=\"113372160\", alpha=\"0.06\", expect_size=\"45348864\"] \n  14 -> 35 [size =\"45348864\"]\n  14 -> 36 [size =\"45348864\"]\n  14 -> 38 [size =\"45348864\"]\n  14 -> 45 [size =\"45348864\"]\n  14 -> 47 [size =\"45348864\"]\n  14 -> 48 [size =\"45348864\"]\n  14 -> 49 [size =\"45348864\"]\n  15 [size=\"29977600\", alpha=\"0.15\", expect_size=\"11991040\"] \n  15 -> 34 [size =\"11991040\"]\n  15 -> 35 [size =\"11991040\"]\n  15 -> 36 [size =\"11991040\"]\n  15 -> 41 [size =\"11991040\"]\n  15 -> 43 [size =\"11991040\"]\n  15 -> 44 [size =\"11991040\"]\n  15 -> 47 [size =\"11991040\"]\n  15 -> 48 [size =\"11991040\"]\n  16 [size=\"70274560\", alpha=\"0.15\", expect_size=\"28109824\"] \n  16 -> 34 [size =\"28109824\"]\n  16 -> 35 [size =\"28109824\"]\n  16 -> 36 [size =\"28109824\"]\n  16 -> 43 [size =\"28109824\"]\n  16 -> 43 [size =\"28109824\"]\n  16 -> 46 [size =\"28109824\"]\n  16 -> 48 [size =\"28109824\"]\n  16 -> 49 [size =\"28109824\"]\n  17 [size=\"35921920\", alpha=\"0.03\", expect_size=\"14368768\"] \n  17 -> 34 [size =\"14368768\"]\n  17 -> 39 [size =\"14368768\"]\n  17 -> 43 [size =\"14368768\"]\n  17 -> 43 [size =\"14368768\"]\n  17 -> 47 [size =\"14368768\"]\n  17 -> 48 [size =\"14368768\"]\n  17 -> 48 [size =\"14368768\"]\n  17 -> 50 [size =\"14368768\"]\n  18 [size=\"106257920\", alpha=\"0.05\", expect_size=\"42503168\"] \n  18 -> 41 [size =\"42503168\"]\n  18 -> 43 [size =\"42503168\"]\n  18 -> 46 [size =\"42503168\"]\n  18 -> 48 [size =\"42503168\"]\n  18 -> 50 [size =\"42503168\"]\n  19 [size=\"73643520\", alpha=\"0.05\", expect_size=\"29457408\"] \n  19 -> 35 [size =\"29457408\"]\n  19 -> 36 [size =\"29457408\"]\n  19 -> 38 [size =\"29457408\"]\n  19 -> 39 [size =\"29457408\"]\n  19 -> 40 [size =\"29457408\"]\n  19 -> 41 [size =\"29457408\"]\n  19 -> 47 [size =\"29457408\"]\n  19 -> 48 [size =\"29457408\"]\n  19 -> 50 [size =\"29457408\"]\n  20 [size=\"61268480\", alpha=\"0.19\", expect_size=\"24507392\"] \n  20 -> 34 [size =\"24507392\"]\n  20 -> 36 [size =\"24507392\"]\n  20 -> 39 [size =\"24507392\"]\n  20 -> 43 [size =\"24507392\"]\n  20 -> 47 [size =\"24507392\"]\n  20 -> 50 [size =\"24507392\"]\n  21 [size=\"103142400\", alpha=\"0.18\", expect_size=\"41256960\"] \n  21 -> 36 [size =\"41256960\"]\n  21 -> 39 [size =\"41256960\"]\n  21 -> 42 [size =\"41256960\"]\n  21 -> 43 [size =\"41256960\"]\n  21 -> 45 [size =\"41256960\"]\n  21 -> 48 [size =\"41256960\"]\n  21 -> 50 [size =\"41256960\"]\n  22 [size=\"106984960\", alpha=\"0.18\", expect_size=\"42793984\"] \n  22 -> 34 [size =\"42793984\"]\n  22 -> 36 [size =\"42793984\"]\n  22 -> 39 [size =\"42793984\"]\n  22 -> 41 [size =\"42793984\"]\n  22 -> 48 [size =\"42793984\"]\n  22 -> 50 [size =\"42793984\"]\n  23 [size=\"64445440\", alpha=\"0.17\", expect_size=\"25778176\"] \n  23 -> 34 [size =\"25778176\"]\n  23 -> 36 [size =\"25778176\"]\n  23 -> 39 [size =\"25778176\"]\n  23 -> 42 [size =\"25778176\"]\n  23 -> 47 [size =\"25778176\"]\n  24 [size=\"20697600\", alpha=\"0.02\", expect_size=\"8279040\"] \n  24 -> 34 [size =\"8279040\"]\n  24 -> 39 [size =\"8279040\"]\n  24 -> 39 [size =\"8279040\"]\n  24 -> 41 [size =\"8279040\"]\n  24 -> 42 [size =\"8279040\"]\n  24 -> 47 [size =\"8279040\"]\n  24 -> 48 [size =\"8279040\"]\n  25 [size=\"55075840\", alpha=\"0.08\", expect_size=\"22030336\"] \n  25 -> 34 [size =\"22030336\"]\n  25 -> 39 [size =\"22030336\"]\n  25 -> 41 [size =\"22030336\"]\n  25 -> 45 [size =\"22030336\"]\n  25 -> 47 [size =\"22030336\"]\n  25 -> 50 [size =\"22030336\"]\n  26 [size=\"24962560\", alpha=\"0.12\", expect_size=\"9985024\"] \n  26 -> 33 [size =\"9985024\"]\n  26 -> 34 [size =\"9985024\"]\n  26 -> 35 [size =\"9985024\"]\n  26 -> 39 [size =\"9985024\"]\n  26 -> 47 [size =\"9985024\"]\n  26 -> 50 [size =\"9985024\"]\n  27 [size=\"115548160\", alpha=\"0.17\", expect_size=\"46219264\"] \n  27 -> 34 [size =\"46219264\"]\n  27 -> 36 [size =\"46219264\"]\n  27 -> 39 [size =\"46219264\"]\n  27 -> 39 [size =\"46219264\"]\n  27 -> 41 [size =\"46219264\"]\n  27 -> 43 [size =\"46219264\"]\n  27 -> 46 [size =\"46219264\"]\n  27 -> 50 [size =\"46219264\"]\n  28 [size=\"17587200\", alpha=\"0.07\", expect_size=\"7034880\"] \n  28 -> 34 [size =\"7034880\"]\n  28 -> 36 [size =\"7034880\"]\n  28 -> 38 [size =\"7034880\"]\n  28 -> 39 [size =\"7034880\"]\n  28 -> 41 [size =\"7034880\"]\n  28 -> 43 [size =\"7034880\"]\n  28 -> 46 [size =\"7034880\"]\n  28 -> 47 [size =\"7034880\"]\n  28 -> 50 [size =\"7034880\"]\n  29 [size=\"47718400\", alpha=\"0.04\", expect_size=\"19087360\"] \n  29 -> 33 [size =\"19087360\"]\n  29 -> 38 [size =\"19087360\"]\n  29 -> 38 [size =\"19087360\"]\n  29 -> 39 [size =\"19087360\"]\n  29 -> 41 [size =\"19087360\"]\n  29 -> 42 [size =\"19087360\"]\n  29 -> 45 [size =\"19087360\"]\n  29 -> 47 [size =\"19087360\"]\n  29 -> 50 [size =\"19087360\"]\n  30 [size=\"79362560\", alpha=\"0.01\", expect_size=\"31745024\"] \n  30 -> 33 [size =\"31745024\"]\n  30 -> 36 [size =\"31745024\"]\n  30 -> 38 [size =\"31745024\"]\n  30 -> 43 [size =\"31745024\"]\n  30 -> 46 [size =\"31745024\"]\n  30 -> 47 [size =\"31745024\"]\n  30 -> 48 [size =\"31745024\"]\n  30 -> 50 [size =\"31745024\"]\n  30 -> 50 [size =\"31745024\"]\n  31 [size=\"72235520\", alpha=\"0.10\", expect_size=\"28894208\"] \n  31 -> 33 [size =\"28894208\"]\n  31 -> 34 [size =\"28894208\"]\n  31 -> 35 [size =\"28894208\"]\n  31 -> 37 [size =\"28894208\"]\n  31 -> 48 [size =\"28894208\"]\n  31 -> 50 [size =\"28894208\"]\n  32 [size=\"62289920\", alpha=\"0.10\", expect_size=\"24915968\"] \n  32 -> 40 [size =\"24915968\"]\n  32 -> 41 [size =\"24915968\"]\n  32 -> 42 [size =\"24915968\"]\n  32 -> 43 [size =\"24915968\"]\n  32 -> 48 [size =\"24915968\"]\n  33 [size=\"50826240\", alpha=\"0.14\", expect_size=\"20330496\"] \n  34 [size=\"31155200\", alpha=\"0.15\", expect_size=\"12462080\"] \n  35 [size=\"43435520\", alpha=\"0.19\", expect_size=\"17374208\"] \n  36 [size=\"91816960\", alpha=\"0.12\", expect_size=\"36726784\"] \n  37 [size=\"41712640\", alpha=\"0.10\", expect_size=\"16685056\"] \n  38 [size=\"23843840\", alpha=\"0.03\", expect_size=\"9537536\"] \n  39 [size=\"66186240\", alpha=\"0.06\", expect_size=\"26474496\"] \n  40 [size=\"89612800\", alpha=\"0.18\", expect_size=\"35845120\"] \n  41 [size=\"98209280\", alpha=\"0.05\", expect_size=\"39283712\"] \n  42 [size=\"37452800\", alpha=\"0.07\", expect_size=\"14981120\"] \n  43 [size=\"98739200\", alpha=\"0.19\", expect_size=\"39495680\"] \n  44 [size=\"65031680\", alpha=\"0.11\", expect_size=\"26012672\"] \n  45 [size=\"36592640\", alpha=\"0.11\", expect_size=\"14637056\"] \n  46 [size=\"30297600\", alpha=\"0.13\", expect_size=\"12119040\"] \n  47 [size=\"103311360\", alpha=\"0.12\", expect_size=\"41324544\"] \n  48 [size=\"42524160\", alpha=\"0.12\", expect_size=\"17009664\"] \n  49 [size=\"59048960\", alpha=\"0.18\", expect_size=\"23619584\"] \n  50 [size=\"95462400\", alpha=\"0.15\", expect_size=\"38184960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.568.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25429333\", alpha=\"0.02\", expect_size=\"7628800\"] \n  1 -> 2 [size =\"7628800\"]\n  2 [size=\"123211093\", alpha=\"0.07\", expect_size=\"36963328\"] \n  2 -> 3 [size =\"36963328\"]\n  3 [size=\"144233813\", alpha=\"0.17\", expect_size=\"43270144\"] \n  3 -> 4 [size =\"43270144\"]\n  4 [size=\"124412587\", alpha=\"0.12\", expect_size=\"37323776\"] \n  4 -> 5 [size =\"37323776\"]\n  5 [size=\"144646827\", alpha=\"0.14\", expect_size=\"43394048\"] \n  5 -> 6 [size =\"43394048\"]\n  6 [size=\"130522453\", alpha=\"0.08\", expect_size=\"39156736\"] \n  6 -> 7 [size =\"39156736\"]\n  7 [size=\"103171413\", alpha=\"0.02\", expect_size=\"30951424\"] \n  7 -> 8 [size =\"30951424\"]\n  8 [size=\"141523627\", alpha=\"0.08\", expect_size=\"42457088\"] \n  8 -> 9 [size =\"42457088\"]\n  9 [size=\"49998507\", alpha=\"0.05\", expect_size=\"14999552\"] \n  9 -> 10 [size =\"14999552\"]\n  10 [size=\"77673813\", alpha=\"0.05\", expect_size=\"23302144\"] \n  10 -> 11 [size =\"23302144\"]\n  11 [size=\"26217813\", alpha=\"0.05\", expect_size=\"7865344\"] \n  11 -> 12 [size =\"7865344\"]\n  12 [size=\"42690560\", alpha=\"0.07\", expect_size=\"12807168\"] \n  12 -> 13 [size =\"12807168\"]\n  13 [size=\"97638400\", alpha=\"0.17\", expect_size=\"29291520\"] \n  13 -> 14 [size =\"29291520\"]\n  14 [size=\"74407253\", alpha=\"0.09\", expect_size=\"22322176\"] \n  14 -> 15 [size =\"22322176\"]\n  15 [size=\"171690667\", alpha=\"0.05\", expect_size=\"51507200\"] \n  15 -> 16 [size =\"51507200\"]\n  16 [size=\"125320533\", alpha=\"0.10\", expect_size=\"37596160\"] \n  16 -> 17 [size =\"37596160\"]\n  17 [size=\"32505173\", alpha=\"0.14\", expect_size=\"9751552\"] \n  17 -> 18 [size =\"9751552\"]\n  18 [size=\"46479360\", alpha=\"0.02\", expect_size=\"13943808\"] \n  18 -> 19 [size =\"13943808\"]\n  19 [size=\"112851627\", alpha=\"0.16\", expect_size=\"33855488\"] \n  19 -> 20 [size =\"33855488\"]\n  20 [size=\"152729600\", alpha=\"0.00\", expect_size=\"45818880\"] \n  20 -> 21 [size =\"45818880\"]\n  21 [size=\"38195200\", alpha=\"0.05\", expect_size=\"11458560\"] \n  21 -> 22 [size =\"11458560\"]\n  22 [size=\"80305493\", alpha=\"0.04\", expect_size=\"24091648\"] \n  22 -> 23 [size =\"24091648\"]\n  23 [size=\"137840640\", alpha=\"0.18\", expect_size=\"41352192\"] \n  23 -> 24 [size =\"41352192\"]\n  24 [size=\"114773333\", alpha=\"0.06\", expect_size=\"34432000\"] \n  24 -> 25 [size =\"34432000\"]\n  25 [size=\"29617493\", alpha=\"0.11\", expect_size=\"8885248\"] \n  25 -> 26 [size =\"8885248\"]\n  26 [size=\"69430613\", alpha=\"0.10\", expect_size=\"20829184\"] \n  26 -> 27 [size =\"20829184\"]\n  27 [size=\"147339947\", alpha=\"0.19\", expect_size=\"44201984\"] \n  27 -> 28 [size =\"44201984\"]\n  28 [size=\"100536320\", alpha=\"0.05\", expect_size=\"30160896\"] \n  28 -> 29 [size =\"30160896\"]\n  29 [size=\"118917120\", alpha=\"0.14\", expect_size=\"35675136\"] \n  29 -> 30 [size =\"35675136\"]\n  30 [size=\"86992213\", alpha=\"0.12\", expect_size=\"26097664\"] \n  30 -> 31 [size =\"26097664\"]\n  31 [size=\"87043413\", alpha=\"0.10\", expect_size=\"26113024\"] \n  31 -> 32 [size =\"26113024\"]\n  32 [size=\"127030613\", alpha=\"0.12\", expect_size=\"38109184\"] \n  32 -> 33 [size =\"38109184\"]\n  33 [size=\"155392000\", alpha=\"0.03\", expect_size=\"46617600\"] \n  33 -> 34 [size =\"46617600\"]\n  34 [size=\"141612373\", alpha=\"0.02\", expect_size=\"42483712\"] \n  34 -> 35 [size =\"42483712\"]\n  35 [size=\"35338240\", alpha=\"0.01\", expect_size=\"10601472\"] \n  35 -> 36 [size =\"10601472\"]\n  36 [size=\"121026560\", alpha=\"0.13\", expect_size=\"36307968\"] \n  36 -> 37 [size =\"36307968\"]\n  37 [size=\"39874560\", alpha=\"0.07\", expect_size=\"11962368\"] \n  37 -> 38 [size =\"11962368\"]\n  38 [size=\"34860373\", alpha=\"0.05\", expect_size=\"10458112\"] \n  38 -> 39 [size =\"10458112\"]\n  39 [size=\"72744960\", alpha=\"0.15\", expect_size=\"21823488\"] \n  39 -> 40 [size =\"21823488\"]\n  40 [size=\"28774400\", alpha=\"0.03\", expect_size=\"8632320\"] \n  40 -> 41 [size =\"8632320\"]\n  41 [size=\"120425813\", alpha=\"0.13\", expect_size=\"36127744\"] \n  41 -> 42 [size =\"36127744\"]\n  42 [size=\"41871360\", alpha=\"0.10\", expect_size=\"12561408\"] \n  42 -> 43 [size =\"12561408\"]\n  43 [size=\"132904960\", alpha=\"0.04\", expect_size=\"39871488\"] \n  43 -> 44 [size =\"39871488\"]\n  44 [size=\"159115947\", alpha=\"0.09\", expect_size=\"47734784\"] \n  44 -> 45 [size =\"47734784\"]\n  45 [size=\"20148907\", alpha=\"0.16\", expect_size=\"6044672\"] \n  45 -> 46 [size =\"6044672\"]\n  46 [size=\"27508053\", alpha=\"0.10\", expect_size=\"8252416\"] \n  46 -> 47 [size =\"8252416\"]\n  47 [size=\"131758080\", alpha=\"0.00\", expect_size=\"39527424\"] \n  47 -> 48 [size =\"39527424\"]\n  48 [size=\"33351680\", alpha=\"0.01\", expect_size=\"10005504\"] \n  48 -> 49 [size =\"10005504\"]\n  49 [size=\"75868160\", alpha=\"0.15\", expect_size=\"22760448\"] \n  49 -> 50 [size =\"22760448\"]\n  50 [size=\"40116907\", alpha=\"0.17\", expect_size=\"12035072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.569.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78993408\", alpha=\"0.14\", expect_size=\"39496704\"] \n  1 -> 2 [size =\"39496704\"]\n  2 [size=\"80834560\", alpha=\"0.08\", expect_size=\"40417280\"] \n  2 -> 3 [size =\"40417280\"]\n  3 [size=\"41508864\", alpha=\"0.06\", expect_size=\"20754432\"] \n  3 -> 4 [size =\"20754432\"]\n  4 [size=\"93280256\", alpha=\"0.06\", expect_size=\"46640128\"] \n  4 -> 5 [size =\"46640128\"]\n  5 [size=\"47818752\", alpha=\"0.04\", expect_size=\"23909376\"] \n  5 -> 6 [size =\"23909376\"]\n  6 [size=\"41969664\", alpha=\"0.03\", expect_size=\"20984832\"] \n  6 -> 7 [size =\"20984832\"]\n  7 [size=\"48910336\", alpha=\"0.14\", expect_size=\"24455168\"] \n  7 -> 8 [size =\"24455168\"]\n  8 [size=\"16613376\", alpha=\"0.15\", expect_size=\"8306688\"] \n  8 -> 9 [size =\"8306688\"]\n  9 [size=\"28997632\", alpha=\"0.05\", expect_size=\"14498816\"] \n  9 -> 10 [size =\"14498816\"]\n  10 [size=\"57710592\", alpha=\"0.09\", expect_size=\"28855296\"] \n  10 -> 11 [size =\"28855296\"]\n  11 [size=\"74954752\", alpha=\"0.05\", expect_size=\"37477376\"] \n  11 -> 12 [size =\"37477376\"]\n  12 [size=\"48271360\", alpha=\"0.18\", expect_size=\"24135680\"] \n  12 -> 13 [size =\"24135680\"]\n  13 [size=\"87339008\", alpha=\"0.07\", expect_size=\"43669504\"] \n  13 -> 14 [size =\"43669504\"]\n  14 [size=\"21211136\", alpha=\"0.01\", expect_size=\"10605568\"] \n  14 -> 15 [size =\"10605568\"]\n  15 [size=\"48293888\", alpha=\"0.17\", expect_size=\"24146944\"] \n  15 -> 16 [size =\"24146944\"]\n  16 [size=\"66969600\", alpha=\"0.19\", expect_size=\"33484800\"] \n  16 -> 17 [size =\"33484800\"]\n  17 [size=\"82579456\", alpha=\"0.17\", expect_size=\"41289728\"] \n  17 -> 18 [size =\"41289728\"]\n  18 [size=\"55629824\", alpha=\"0.07\", expect_size=\"27814912\"] \n  18 -> 19 [size =\"27814912\"]\n  19 [size=\"30791680\", alpha=\"0.13\", expect_size=\"15395840\"] \n  19 -> 20 [size =\"15395840\"]\n  20 [size=\"52994048\", alpha=\"0.06\", expect_size=\"26497024\"] \n  20 -> 21 [size =\"26497024\"]\n  21 [size=\"94726144\", alpha=\"0.14\", expect_size=\"47363072\"] \n  21 -> 22 [size =\"47363072\"]\n  22 [size=\"25204736\", alpha=\"0.17\", expect_size=\"12602368\"] \n  22 -> 23 [size =\"12602368\"]\n  23 [size=\"17561600\", alpha=\"0.07\", expect_size=\"8780800\"] \n  23 -> 24 [size =\"8780800\"]\n  24 [size=\"52652032\", alpha=\"0.14\", expect_size=\"26326016\"] \n  24 -> 25 [size =\"26326016\"]\n  25 [size=\"57925632\", alpha=\"0.08\", expect_size=\"28962816\"] \n  25 -> 26 [size =\"28962816\"]\n  26 [size=\"45291520\", alpha=\"0.10\", expect_size=\"22645760\"] \n  26 -> 27 [size =\"22645760\"]\n  27 [size=\"38287360\", alpha=\"0.20\", expect_size=\"19143680\"] \n  27 -> 28 [size =\"19143680\"]\n  28 [size=\"23033856\", alpha=\"0.11\", expect_size=\"11516928\"] \n  28 -> 29 [size =\"11516928\"]\n  29 [size=\"57094144\", alpha=\"0.06\", expect_size=\"28547072\"] \n  29 -> 30 [size =\"28547072\"]\n  30 [size=\"24088576\", alpha=\"0.11\", expect_size=\"12044288\"] \n  30 -> 31 [size =\"12044288\"]\n  31 [size=\"54403072\", alpha=\"0.09\", expect_size=\"27201536\"] \n  31 -> 32 [size =\"27201536\"]\n  32 [size=\"27805696\", alpha=\"0.16\", expect_size=\"13902848\"] \n  32 -> 33 [size =\"13902848\"]\n  33 [size=\"14643200\", alpha=\"0.19\", expect_size=\"7321600\"] \n  33 -> 34 [size =\"7321600\"]\n  34 [size=\"45938688\", alpha=\"0.04\", expect_size=\"22969344\"] \n  34 -> 35 [size =\"22969344\"]\n  35 [size=\"15747072\", alpha=\"0.17\", expect_size=\"7873536\"] \n  35 -> 36 [size =\"7873536\"]\n  36 [size=\"55771136\", alpha=\"0.02\", expect_size=\"27885568\"] \n  36 -> 37 [size =\"27885568\"]\n  37 [size=\"103127040\", alpha=\"0.03\", expect_size=\"51563520\"] \n  37 -> 38 [size =\"51563520\"]\n  38 [size=\"101867520\", alpha=\"0.13\", expect_size=\"50933760\"] \n  38 -> 39 [size =\"50933760\"]\n  39 [size=\"58124288\", alpha=\"0.07\", expect_size=\"29062144\"] \n  39 -> 40 [size =\"29062144\"]\n  40 [size=\"84781056\", alpha=\"0.10\", expect_size=\"42390528\"] \n  40 -> 41 [size =\"42390528\"]\n  41 [size=\"40318976\", alpha=\"0.11\", expect_size=\"20159488\"] \n  41 -> 42 [size =\"20159488\"]\n  42 [size=\"83582976\", alpha=\"0.16\", expect_size=\"41791488\"] \n  42 -> 43 [size =\"41791488\"]\n  43 [size=\"63612928\", alpha=\"0.01\", expect_size=\"31806464\"] \n  43 -> 44 [size =\"31806464\"]\n  44 [size=\"57264128\", alpha=\"0.16\", expect_size=\"28632064\"] \n  44 -> 45 [size =\"28632064\"]\n  45 [size=\"75266048\", alpha=\"0.01\", expect_size=\"37633024\"] \n  45 -> 46 [size =\"37633024\"]\n  46 [size=\"61052928\", alpha=\"0.13\", expect_size=\"30526464\"] \n  46 -> 47 [size =\"30526464\"]\n  47 [size=\"71108608\", alpha=\"0.11\", expect_size=\"35554304\"] \n  47 -> 48 [size =\"35554304\"]\n  48 [size=\"83159040\", alpha=\"0.12\", expect_size=\"41579520\"] \n  48 -> 49 [size =\"41579520\"]\n  49 [size=\"47970304\", alpha=\"0.02\", expect_size=\"23985152\"] \n  49 -> 50 [size =\"23985152\"]\n  50 [size=\"80228352\", alpha=\"0.16\", expect_size=\"40114176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94287360\", alpha=\"0.04\", expect_size=\"37714944\"] \n  1 -> 2 [size =\"37714944\"]\n  2 [size=\"63731200\", alpha=\"0.01\", expect_size=\"25492480\"] \n  2 -> 3 [size =\"25492480\"]\n  3 [size=\"61844480\", alpha=\"0.01\", expect_size=\"24737792\"] \n  3 -> 4 [size =\"24737792\"]\n  4 [size=\"35939840\", alpha=\"0.05\", expect_size=\"14375936\"] \n  4 -> 5 [size =\"14375936\"]\n  5 [size=\"99988480\", alpha=\"0.10\", expect_size=\"39995392\"] \n  5 -> 6 [size =\"39995392\"]\n  6 [size=\"103728640\", alpha=\"0.06\", expect_size=\"41491456\"] \n  6 -> 7 [size =\"41491456\"]\n  7 [size=\"23183360\", alpha=\"0.17\", expect_size=\"9273344\"] \n  7 -> 8 [size =\"9273344\"]\n  8 [size=\"38850560\", alpha=\"0.13\", expect_size=\"15540224\"] \n  8 -> 9 [size =\"15540224\"]\n  9 [size=\"119895040\", alpha=\"0.09\", expect_size=\"47958016\"] \n  9 -> 10 [size =\"47958016\"]\n  10 [size=\"60648960\", alpha=\"0.11\", expect_size=\"24259584\"] \n  10 -> 11 [size =\"24259584\"]\n  11 [size=\"41057280\", alpha=\"0.07\", expect_size=\"16422912\"] \n  11 -> 12 [size =\"16422912\"]\n  12 [size=\"61898240\", alpha=\"0.14\", expect_size=\"24759296\"] \n  12 -> 13 [size =\"24759296\"]\n  13 [size=\"66833920\", alpha=\"0.00\", expect_size=\"26733568\"] \n  13 -> 14 [size =\"26733568\"]\n  14 [size=\"74073600\", alpha=\"0.03\", expect_size=\"29629440\"] \n  14 -> 15 [size =\"29629440\"]\n  15 [size=\"102543360\", alpha=\"0.09\", expect_size=\"41017344\"] \n  15 -> 16 [size =\"41017344\"]\n  16 [size=\"42598400\", alpha=\"0.10\", expect_size=\"17039360\"] \n  16 -> 17 [size =\"17039360\"]\n  17 [size=\"75660800\", alpha=\"0.10\", expect_size=\"30264320\"] \n  17 -> 18 [size =\"30264320\"]\n  18 [size=\"60216320\", alpha=\"0.14\", expect_size=\"24086528\"] \n  18 -> 19 [size =\"24086528\"]\n  19 [size=\"19824640\", alpha=\"0.17\", expect_size=\"7929856\"] \n  19 -> 20 [size =\"7929856\"]\n  20 [size=\"75445760\", alpha=\"0.02\", expect_size=\"30178304\"] \n  20 -> 21 [size =\"30178304\"]\n  21 [size=\"20093440\", alpha=\"0.00\", expect_size=\"8037376\"] \n  21 -> 22 [size =\"8037376\"]\n  22 [size=\"63521280\", alpha=\"0.07\", expect_size=\"25408512\"] \n  22 -> 23 [size =\"25408512\"]\n  23 [size=\"28677120\", alpha=\"0.02\", expect_size=\"11470848\"] \n  23 -> 24 [size =\"11470848\"]\n  24 [size=\"28817920\", alpha=\"0.01\", expect_size=\"11527168\"] \n  24 -> 25 [size =\"11527168\"]\n  25 [size=\"48629760\", alpha=\"0.15\", expect_size=\"19451904\"] \n  25 -> 26 [size =\"19451904\"]\n  26 [size=\"103759360\", alpha=\"0.04\", expect_size=\"41503744\"] \n  26 -> 27 [size =\"41503744\"]\n  27 [size=\"44262400\", alpha=\"0.15\", expect_size=\"17704960\"] \n  27 -> 28 [size =\"17704960\"]\n  28 [size=\"105131520\", alpha=\"0.10\", expect_size=\"42052608\"] \n  28 -> 29 [size =\"42052608\"]\n  29 [size=\"72686080\", alpha=\"0.04\", expect_size=\"29074432\"] \n  29 -> 30 [size =\"29074432\"]\n  30 [size=\"57384960\", alpha=\"0.05\", expect_size=\"22953984\"] \n  30 -> 31 [size =\"22953984\"]\n  31 [size=\"69045760\", alpha=\"0.11\", expect_size=\"27618304\"] \n  31 -> 32 [size =\"27618304\"]\n  32 [size=\"70886400\", alpha=\"0.06\", expect_size=\"28354560\"] \n  32 -> 33 [size =\"28354560\"]\n  33 [size=\"113533440\", alpha=\"0.09\", expect_size=\"45413376\"] \n  33 -> 34 [size =\"45413376\"]\n  34 [size=\"127759360\", alpha=\"0.03\", expect_size=\"51103744\"] \n  34 -> 35 [size =\"51103744\"]\n  35 [size=\"18434560\", alpha=\"0.12\", expect_size=\"7373824\"] \n  35 -> 36 [size =\"7373824\"]\n  36 [size=\"108372480\", alpha=\"0.06\", expect_size=\"43348992\"] \n  36 -> 37 [size =\"43348992\"]\n  37 [size=\"16335360\", alpha=\"0.11\", expect_size=\"6534144\"] \n  37 -> 38 [size =\"6534144\"]\n  38 [size=\"106293760\", alpha=\"0.03\", expect_size=\"42517504\"] \n  38 -> 39 [size =\"42517504\"]\n  39 [size=\"50101760\", alpha=\"0.17\", expect_size=\"20040704\"] \n  39 -> 40 [size =\"20040704\"]\n  40 [size=\"72512000\", alpha=\"0.01\", expect_size=\"29004800\"] \n  40 -> 41 [size =\"29004800\"]\n  41 [size=\"103101440\", alpha=\"0.07\", expect_size=\"41240576\"] \n  41 -> 42 [size =\"41240576\"]\n  42 [size=\"51857920\", alpha=\"0.01\", expect_size=\"20743168\"] \n  42 -> 43 [size =\"20743168\"]\n  43 [size=\"85537280\", alpha=\"0.18\", expect_size=\"34214912\"] \n  43 -> 44 [size =\"34214912\"]\n  44 [size=\"21941760\", alpha=\"0.17\", expect_size=\"8776704\"] \n  44 -> 45 [size =\"8776704\"]\n  45 [size=\"40002560\", alpha=\"0.02\", expect_size=\"16001024\"] \n  45 -> 46 [size =\"16001024\"]\n  46 [size=\"111188480\", alpha=\"0.03\", expect_size=\"44475392\"] \n  46 -> 47 [size =\"44475392\"]\n  47 [size=\"29068800\", alpha=\"0.09\", expect_size=\"11627520\"] \n  47 -> 48 [size =\"11627520\"]\n  48 [size=\"92124160\", alpha=\"0.11\", expect_size=\"36849664\"] \n  48 -> 49 [size =\"36849664\"]\n  49 [size=\"111536640\", alpha=\"0.02\", expect_size=\"44614656\"] \n  49 -> 50 [size =\"44614656\"]\n  50 [size=\"94023680\", alpha=\"0.02\", expect_size=\"37609472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.570.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130232320\", alpha=\"0.07\", expect_size=\"52092928\"] \n  1 -> 18 [size =\"52092928\"]\n  1 -> 22 [size =\"52092928\"]\n  1 -> 23 [size =\"52092928\"]\n  2 [size=\"95121920\", alpha=\"0.15\", expect_size=\"38048768\"] \n  2 -> 17 [size =\"38048768\"]\n  2 -> 24 [size =\"38048768\"]\n  2 -> 29 [size =\"38048768\"]\n  2 -> 30 [size =\"38048768\"]\n  3 [size=\"45898240\", alpha=\"0.06\", expect_size=\"18359296\"] \n  3 -> 20 [size =\"18359296\"]\n  3 -> 21 [size =\"18359296\"]\n  3 -> 29 [size =\"18359296\"]\n  4 [size=\"44088320\", alpha=\"0.02\", expect_size=\"17635328\"] \n  4 -> 21 [size =\"17635328\"]\n  4 -> 26 [size =\"17635328\"]\n  4 -> 28 [size =\"17635328\"]\n  4 -> 29 [size =\"17635328\"]\n  4 -> 30 [size =\"17635328\"]\n  5 [size=\"69790720\", alpha=\"0.15\", expect_size=\"27916288\"] \n  5 -> 18 [size =\"27916288\"]\n  5 -> 23 [size =\"27916288\"]\n  5 -> 24 [size =\"27916288\"]\n  5 -> 28 [size =\"27916288\"]\n  5 -> 29 [size =\"27916288\"]\n  6 [size=\"33259520\", alpha=\"0.13\", expect_size=\"13303808\"] \n  6 -> 18 [size =\"13303808\"]\n  6 -> 24 [size =\"13303808\"]\n  6 -> 28 [size =\"13303808\"]\n  7 [size=\"63628800\", alpha=\"0.13\", expect_size=\"25451520\"] \n  7 -> 17 [size =\"25451520\"]\n  7 -> 18 [size =\"25451520\"]\n  7 -> 19 [size =\"25451520\"]\n  7 -> 22 [size =\"25451520\"]\n  7 -> 23 [size =\"25451520\"]\n  7 -> 28 [size =\"25451520\"]\n  7 -> 30 [size =\"25451520\"]\n  8 [size=\"77445120\", alpha=\"0.06\", expect_size=\"30978048\"] \n  8 -> 16 [size =\"30978048\"]\n  8 -> 17 [size =\"30978048\"]\n  8 -> 19 [size =\"30978048\"]\n  8 -> 20 [size =\"30978048\"]\n  8 -> 22 [size =\"30978048\"]\n  8 -> 27 [size =\"30978048\"]\n  8 -> 30 [size =\"30978048\"]\n  9 [size=\"41128960\", alpha=\"0.14\", expect_size=\"16451584\"] \n  9 -> 19 [size =\"16451584\"]\n  9 -> 30 [size =\"16451584\"]\n  10 [size=\"122150400\", alpha=\"0.05\", expect_size=\"48860160\"] \n  10 -> 28 [size =\"48860160\"]\n  10 -> 29 [size =\"48860160\"]\n  10 -> 30 [size =\"48860160\"]\n  11 [size=\"70292480\", alpha=\"0.15\", expect_size=\"28116992\"] \n  11 -> 19 [size =\"28116992\"]\n  11 -> 23 [size =\"28116992\"]\n  11 -> 25 [size =\"28116992\"]\n  11 -> 28 [size =\"28116992\"]\n  12 [size=\"112532480\", alpha=\"0.09\", expect_size=\"45012992\"] \n  12 -> 20 [size =\"45012992\"]\n  12 -> 27 [size =\"45012992\"]\n  13 [size=\"83535360\", alpha=\"0.15\", expect_size=\"33414144\"] \n  13 -> 17 [size =\"33414144\"]\n  13 -> 19 [size =\"33414144\"]\n  13 -> 20 [size =\"33414144\"]\n  13 -> 28 [size =\"33414144\"]\n  13 -> 30 [size =\"33414144\"]\n  14 [size=\"116198400\", alpha=\"0.04\", expect_size=\"46479360\"] \n  14 -> 17 [size =\"46479360\"]\n  14 -> 20 [size =\"46479360\"]\n  14 -> 22 [size =\"46479360\"]\n  14 -> 23 [size =\"46479360\"]\n  14 -> 28 [size =\"46479360\"]\n  15 [size=\"127203840\", alpha=\"0.09\", expect_size=\"50881536\"] \n  15 -> 17 [size =\"50881536\"]\n  15 -> 19 [size =\"50881536\"]\n  15 -> 23 [size =\"50881536\"]\n  15 -> 25 [size =\"50881536\"]\n  16 [size=\"99640320\", alpha=\"0.04\", expect_size=\"39856128\"] \n  16 -> 32 [size =\"39856128\"]\n  16 -> 36 [size =\"39856128\"]\n  16 -> 39 [size =\"39856128\"]\n  17 [size=\"57745920\", alpha=\"0.06\", expect_size=\"23098368\"] \n  17 -> 31 [size =\"23098368\"]\n  17 -> 32 [size =\"23098368\"]\n  18 [size=\"17448960\", alpha=\"0.10\", expect_size=\"6979584\"] \n  18 -> 35 [size =\"6979584\"]\n  18 -> 44 [size =\"6979584\"]\n  18 -> 45 [size =\"6979584\"]\n  19 [size=\"50426880\", alpha=\"0.18\", expect_size=\"20170752\"] \n  19 -> 34 [size =\"20170752\"]\n  19 -> 40 [size =\"20170752\"]\n  20 [size=\"17856000\", alpha=\"0.19\", expect_size=\"7142400\"] \n  20 -> 45 [size =\"7142400\"]\n  21 [size=\"47767040\", alpha=\"0.01\", expect_size=\"19106816\"] \n  21 -> 31 [size =\"19106816\"]\n  21 -> 34 [size =\"19106816\"]\n  21 -> 41 [size =\"19106816\"]\n  21 -> 45 [size =\"19106816\"]\n  22 [size=\"18657280\", alpha=\"0.17\", expect_size=\"7462912\"] \n  22 -> 45 [size =\"7462912\"]\n  23 [size=\"71452160\", alpha=\"0.18\", expect_size=\"28580864\"] \n  23 -> 31 [size =\"28580864\"]\n  23 -> 32 [size =\"28580864\"]\n  23 -> 35 [size =\"28580864\"]\n  23 -> 42 [size =\"28580864\"]\n  23 -> 44 [size =\"28580864\"]\n  23 -> 45 [size =\"28580864\"]\n  24 [size=\"41605120\", alpha=\"0.04\", expect_size=\"16642048\"] \n  24 -> 31 [size =\"16642048\"]\n  24 -> 38 [size =\"16642048\"]\n  24 -> 39 [size =\"16642048\"]\n  24 -> 42 [size =\"16642048\"]\n  24 -> 45 [size =\"16642048\"]\n  25 [size=\"66273280\", alpha=\"0.00\", expect_size=\"26509312\"] \n  25 -> 32 [size =\"26509312\"]\n  25 -> 39 [size =\"26509312\"]\n  25 -> 41 [size =\"26509312\"]\n  25 -> 42 [size =\"26509312\"]\n  26 [size=\"119319040\", alpha=\"0.19\", expect_size=\"47727616\"] \n  26 -> 32 [size =\"47727616\"]\n  27 [size=\"26460160\", alpha=\"0.07\", expect_size=\"10584064\"] \n  27 -> 32 [size =\"10584064\"]\n  27 -> 37 [size =\"10584064\"]\n  27 -> 39 [size =\"10584064\"]\n  27 -> 41 [size =\"10584064\"]\n  27 -> 45 [size =\"10584064\"]\n  28 [size=\"61240320\", alpha=\"0.06\", expect_size=\"24496128\"] \n  28 -> 32 [size =\"24496128\"]\n  28 -> 33 [size =\"24496128\"]\n  28 -> 35 [size =\"24496128\"]\n  28 -> 38 [size =\"24496128\"]\n  28 -> 42 [size =\"24496128\"]\n  28 -> 45 [size =\"24496128\"]\n  29 [size=\"122316800\", alpha=\"0.10\", expect_size=\"48926720\"] \n  29 -> 32 [size =\"48926720\"]\n  29 -> 35 [size =\"48926720\"]\n  29 -> 42 [size =\"48926720\"]\n  29 -> 45 [size =\"48926720\"]\n  30 [size=\"108646400\", alpha=\"0.12\", expect_size=\"43458560\"] \n  30 -> 32 [size =\"43458560\"]\n  30 -> 43 [size =\"43458560\"]\n  31 [size=\"105451520\", alpha=\"0.04\", expect_size=\"42180608\"] \n  31 -> 48 [size =\"42180608\"]\n  32 [size=\"111897600\", alpha=\"0.12\", expect_size=\"44759040\"] \n  33 [size=\"92034560\", alpha=\"0.13\", expect_size=\"36813824\"] \n  33 -> 46 [size =\"36813824\"]\n  33 -> 48 [size =\"36813824\"]\n  34 [size=\"78653440\", alpha=\"0.11\", expect_size=\"31461376\"] \n  34 -> 46 [size =\"31461376\"]\n  35 [size=\"102740480\", alpha=\"0.08\", expect_size=\"41096192\"] \n  35 -> 46 [size =\"41096192\"]\n  36 [size=\"103009280\", alpha=\"0.00\", expect_size=\"41203712\"] \n  37 [size=\"99614720\", alpha=\"0.00\", expect_size=\"39845888\"] \n  38 [size=\"25116160\", alpha=\"0.01\", expect_size=\"10046464\"] \n  38 -> 48 [size =\"10046464\"]\n  38 -> 50 [size =\"10046464\"]\n  39 [size=\"61816320\", alpha=\"0.07\", expect_size=\"24726528\"] \n  39 -> 46 [size =\"24726528\"]\n  39 -> 48 [size =\"24726528\"]\n  39 -> 50 [size =\"24726528\"]\n  40 [size=\"119772160\", alpha=\"0.15\", expect_size=\"47908864\"] \n  40 -> 46 [size =\"47908864\"]\n  40 -> 49 [size =\"47908864\"]\n  41 [size=\"72097280\", alpha=\"0.08\", expect_size=\"28838912\"] \n  41 -> 46 [size =\"28838912\"]\n  41 -> 47 [size =\"28838912\"]\n  41 -> 48 [size =\"28838912\"]\n  42 [size=\"93946880\", alpha=\"0.02\", expect_size=\"37578752\"] \n  42 -> 46 [size =\"37578752\"]\n  42 -> 47 [size =\"37578752\"]\n  42 -> 49 [size =\"37578752\"]\n  43 [size=\"48816640\", alpha=\"0.07\", expect_size=\"19526656\"] \n  43 -> 46 [size =\"19526656\"]\n  43 -> 47 [size =\"19526656\"]\n  43 -> 49 [size =\"19526656\"]\n  44 [size=\"125099520\", alpha=\"0.16\", expect_size=\"50039808\"] \n  45 [size=\"71992320\", alpha=\"0.14\", expect_size=\"28796928\"] \n  46 [size=\"121564160\", alpha=\"0.10\", expect_size=\"48625664\"] \n  47 [size=\"124413440\", alpha=\"0.08\", expect_size=\"49765376\"] \n  48 [size=\"125184000\", alpha=\"0.15\", expect_size=\"50073600\"] \n  49 [size=\"128215040\", alpha=\"0.20\", expect_size=\"51286016\"] \n  50 [size=\"52864000\", alpha=\"0.01\", expect_size=\"21145600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.571.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23306240\", alpha=\"0.07\", expect_size=\"11653120\"] \n  1 -> 32 [size =\"11653120\"]\n  1 -> 34 [size =\"11653120\"]\n  1 -> 36 [size =\"11653120\"]\n  1 -> 38 [size =\"11653120\"]\n  1 -> 39 [size =\"11653120\"]\n  1 -> 40 [size =\"11653120\"]\n  1 -> 49 [size =\"11653120\"]\n  2 [size=\"99414016\", alpha=\"0.06\", expect_size=\"49707008\"] \n  2 -> 33 [size =\"49707008\"]\n  2 -> 34 [size =\"49707008\"]\n  2 -> 38 [size =\"49707008\"]\n  2 -> 40 [size =\"49707008\"]\n  2 -> 46 [size =\"49707008\"]\n  2 -> 47 [size =\"49707008\"]\n  2 -> 49 [size =\"49707008\"]\n  3 [size=\"86585344\", alpha=\"0.06\", expect_size=\"43292672\"] \n  3 -> 33 [size =\"43292672\"]\n  3 -> 34 [size =\"43292672\"]\n  3 -> 46 [size =\"43292672\"]\n  4 [size=\"69408768\", alpha=\"0.07\", expect_size=\"34704384\"] \n  4 -> 33 [size =\"34704384\"]\n  4 -> 35 [size =\"34704384\"]\n  4 -> 36 [size =\"34704384\"]\n  4 -> 38 [size =\"34704384\"]\n  4 -> 41 [size =\"34704384\"]\n  4 -> 46 [size =\"34704384\"]\n  4 -> 48 [size =\"34704384\"]\n  4 -> 49 [size =\"34704384\"]\n  4 -> 50 [size =\"34704384\"]\n  5 [size=\"99805184\", alpha=\"0.17\", expect_size=\"49902592\"] \n  5 -> 32 [size =\"49902592\"]\n  5 -> 36 [size =\"49902592\"]\n  5 -> 43 [size =\"49902592\"]\n  5 -> 46 [size =\"49902592\"]\n  5 -> 48 [size =\"49902592\"]\n  5 -> 50 [size =\"49902592\"]\n  6 [size=\"35985408\", alpha=\"0.20\", expect_size=\"17992704\"] \n  6 -> 33 [size =\"17992704\"]\n  6 -> 36 [size =\"17992704\"]\n  6 -> 40 [size =\"17992704\"]\n  6 -> 42 [size =\"17992704\"]\n  6 -> 46 [size =\"17992704\"]\n  6 -> 47 [size =\"17992704\"]\n  6 -> 48 [size =\"17992704\"]\n  7 [size=\"49068032\", alpha=\"0.17\", expect_size=\"24534016\"] \n  7 -> 33 [size =\"24534016\"]\n  7 -> 37 [size =\"24534016\"]\n  7 -> 40 [size =\"24534016\"]\n  7 -> 46 [size =\"24534016\"]\n  7 -> 46 [size =\"24534016\"]\n  7 -> 48 [size =\"24534016\"]\n  8 [size=\"88336384\", alpha=\"0.10\", expect_size=\"44168192\"] \n  8 -> 36 [size =\"44168192\"]\n  8 -> 39 [size =\"44168192\"]\n  8 -> 40 [size =\"44168192\"]\n  8 -> 43 [size =\"44168192\"]\n  8 -> 46 [size =\"44168192\"]\n  8 -> 48 [size =\"44168192\"]\n  9 [size=\"23957504\", alpha=\"0.18\", expect_size=\"11978752\"] \n  9 -> 34 [size =\"11978752\"]\n  9 -> 35 [size =\"11978752\"]\n  9 -> 36 [size =\"11978752\"]\n  9 -> 38 [size =\"11978752\"]\n  9 -> 39 [size =\"11978752\"]\n  9 -> 41 [size =\"11978752\"]\n  9 -> 46 [size =\"11978752\"]\n  10 [size=\"104263680\", alpha=\"0.06\", expect_size=\"52131840\"] \n  10 -> 36 [size =\"52131840\"]\n  10 -> 37 [size =\"52131840\"]\n  10 -> 38 [size =\"52131840\"]\n  10 -> 40 [size =\"52131840\"]\n  10 -> 41 [size =\"52131840\"]\n  10 -> 42 [size =\"52131840\"]\n  10 -> 44 [size =\"52131840\"]\n  11 [size=\"14399488\", alpha=\"0.00\", expect_size=\"7199744\"] \n  11 -> 32 [size =\"7199744\"]\n  11 -> 34 [size =\"7199744\"]\n  11 -> 35 [size =\"7199744\"]\n  11 -> 36 [size =\"7199744\"]\n  11 -> 38 [size =\"7199744\"]\n  11 -> 48 [size =\"7199744\"]\n  11 -> 49 [size =\"7199744\"]\n  12 [size=\"48359424\", alpha=\"0.12\", expect_size=\"24179712\"] \n  12 -> 32 [size =\"24179712\"]\n  12 -> 34 [size =\"24179712\"]\n  12 -> 36 [size =\"24179712\"]\n  12 -> 38 [size =\"24179712\"]\n  12 -> 38 [size =\"24179712\"]\n  12 -> 44 [size =\"24179712\"]\n  12 -> 48 [size =\"24179712\"]\n  12 -> 49 [size =\"24179712\"]\n  12 -> 50 [size =\"24179712\"]\n  13 [size=\"75149312\", alpha=\"0.10\", expect_size=\"37574656\"] \n  13 -> 32 [size =\"37574656\"]\n  13 -> 33 [size =\"37574656\"]\n  13 -> 38 [size =\"37574656\"]\n  13 -> 38 [size =\"37574656\"]\n  13 -> 40 [size =\"37574656\"]\n  13 -> 44 [size =\"37574656\"]\n  13 -> 46 [size =\"37574656\"]\n  13 -> 48 [size =\"37574656\"]\n  14 [size=\"103002112\", alpha=\"0.02\", expect_size=\"51501056\"] \n  14 -> 33 [size =\"51501056\"]\n  14 -> 38 [size =\"51501056\"]\n  14 -> 48 [size =\"51501056\"]\n  14 -> 49 [size =\"51501056\"]\n  15 [size=\"42979328\", alpha=\"0.02\", expect_size=\"21489664\"] \n  15 -> 33 [size =\"21489664\"]\n  15 -> 34 [size =\"21489664\"]\n  15 -> 40 [size =\"21489664\"]\n  15 -> 42 [size =\"21489664\"]\n  15 -> 44 [size =\"21489664\"]\n  15 -> 49 [size =\"21489664\"]\n  16 [size=\"27983872\", alpha=\"0.05\", expect_size=\"13991936\"] \n  16 -> 32 [size =\"13991936\"]\n  16 -> 33 [size =\"13991936\"]\n  16 -> 35 [size =\"13991936\"]\n  16 -> 36 [size =\"13991936\"]\n  16 -> 40 [size =\"13991936\"]\n  16 -> 41 [size =\"13991936\"]\n  16 -> 42 [size =\"13991936\"]\n  16 -> 45 [size =\"13991936\"]\n  16 -> 49 [size =\"13991936\"]\n  17 [size=\"27174912\", alpha=\"0.10\", expect_size=\"13587456\"] \n  17 -> 34 [size =\"13587456\"]\n  17 -> 35 [size =\"13587456\"]\n  17 -> 38 [size =\"13587456\"]\n  17 -> 41 [size =\"13587456\"]\n  17 -> 42 [size =\"13587456\"]\n  17 -> 45 [size =\"13587456\"]\n  17 -> 46 [size =\"13587456\"]\n  17 -> 49 [size =\"13587456\"]\n  18 [size=\"11163648\", alpha=\"0.13\", expect_size=\"5581824\"] \n  18 -> 33 [size =\"5581824\"]\n  18 -> 35 [size =\"5581824\"]\n  18 -> 37 [size =\"5581824\"]\n  18 -> 40 [size =\"5581824\"]\n  18 -> 41 [size =\"5581824\"]\n  18 -> 42 [size =\"5581824\"]\n  18 -> 44 [size =\"5581824\"]\n  18 -> 45 [size =\"5581824\"]\n  18 -> 49 [size =\"5581824\"]\n  19 [size=\"58345472\", alpha=\"0.06\", expect_size=\"29172736\"] \n  19 -> 32 [size =\"29172736\"]\n  19 -> 44 [size =\"29172736\"]\n  19 -> 46 [size =\"29172736\"]\n  19 -> 48 [size =\"29172736\"]\n  19 -> 50 [size =\"29172736\"]\n  20 [size=\"50610176\", alpha=\"0.06\", expect_size=\"25305088\"] \n  20 -> 33 [size =\"25305088\"]\n  20 -> 34 [size =\"25305088\"]\n  20 -> 35 [size =\"25305088\"]\n  20 -> 40 [size =\"25305088\"]\n  20 -> 41 [size =\"25305088\"]\n  20 -> 42 [size =\"25305088\"]\n  20 -> 45 [size =\"25305088\"]\n  20 -> 48 [size =\"25305088\"]\n  20 -> 50 [size =\"25305088\"]\n  21 [size=\"80912384\", alpha=\"0.07\", expect_size=\"40456192\"] \n  21 -> 34 [size =\"40456192\"]\n  21 -> 34 [size =\"40456192\"]\n  21 -> 35 [size =\"40456192\"]\n  21 -> 39 [size =\"40456192\"]\n  21 -> 40 [size =\"40456192\"]\n  21 -> 45 [size =\"40456192\"]\n  21 -> 50 [size =\"40456192\"]\n  22 [size=\"82917376\", alpha=\"0.08\", expect_size=\"41458688\"] \n  22 -> 34 [size =\"41458688\"]\n  22 -> 38 [size =\"41458688\"]\n  22 -> 39 [size =\"41458688\"]\n  22 -> 42 [size =\"41458688\"]\n  22 -> 46 [size =\"41458688\"]\n  23 [size=\"45262848\", alpha=\"0.05\", expect_size=\"22631424\"] \n  23 -> 34 [size =\"22631424\"]\n  23 -> 37 [size =\"22631424\"]\n  23 -> 40 [size =\"22631424\"]\n  23 -> 42 [size =\"22631424\"]\n  23 -> 48 [size =\"22631424\"]\n  24 [size=\"94742528\", alpha=\"0.14\", expect_size=\"47371264\"] \n  24 -> 33 [size =\"47371264\"]\n  24 -> 37 [size =\"47371264\"]\n  24 -> 46 [size =\"47371264\"]\n  24 -> 48 [size =\"47371264\"]\n  24 -> 48 [size =\"47371264\"]\n  24 -> 50 [size =\"47371264\"]\n  25 [size=\"104540160\", alpha=\"0.03\", expect_size=\"52270080\"] \n  25 -> 34 [size =\"52270080\"]\n  25 -> 41 [size =\"52270080\"]\n  25 -> 42 [size =\"52270080\"]\n  25 -> 44 [size =\"52270080\"]\n  25 -> 50 [size =\"52270080\"]\n  26 [size=\"21182464\", alpha=\"0.16\", expect_size=\"10591232\"] \n  26 -> 34 [size =\"10591232\"]\n  26 -> 36 [size =\"10591232\"]\n  26 -> 40 [size =\"10591232\"]\n  26 -> 41 [size =\"10591232\"]\n  26 -> 46 [size =\"10591232\"]\n  26 -> 47 [size =\"10591232\"]\n  26 -> 49 [size =\"10591232\"]\n  26 -> 50 [size =\"10591232\"]\n  27 [size=\"46686208\", alpha=\"0.18\", expect_size=\"23343104\"] \n  27 -> 33 [size =\"23343104\"]\n  27 -> 38 [size =\"23343104\"]\n  27 -> 40 [size =\"23343104\"]\n  27 -> 42 [size =\"23343104\"]\n  27 -> 47 [size =\"23343104\"]\n  27 -> 48 [size =\"23343104\"]\n  27 -> 49 [size =\"23343104\"]\n  28 [size=\"96221184\", alpha=\"0.17\", expect_size=\"48110592\"] \n  28 -> 32 [size =\"48110592\"]\n  28 -> 34 [size =\"48110592\"]\n  28 -> 40 [size =\"48110592\"]\n  28 -> 41 [size =\"48110592\"]\n  29 [size=\"62668800\", alpha=\"0.18\", expect_size=\"31334400\"] \n  29 -> 42 [size =\"31334400\"]\n  29 -> 48 [size =\"31334400\"]\n  30 [size=\"92653568\", alpha=\"0.19\", expect_size=\"46326784\"] \n  30 -> 33 [size =\"46326784\"]\n  30 -> 35 [size =\"46326784\"]\n  30 -> 40 [size =\"46326784\"]\n  30 -> 42 [size =\"46326784\"]\n  30 -> 43 [size =\"46326784\"]\n  30 -> 47 [size =\"46326784\"]\n  30 -> 48 [size =\"46326784\"]\n  30 -> 50 [size =\"46326784\"]\n  31 [size=\"24444928\", alpha=\"0.01\", expect_size=\"12222464\"] \n  31 -> 33 [size =\"12222464\"]\n  31 -> 35 [size =\"12222464\"]\n  31 -> 38 [size =\"12222464\"]\n  31 -> 40 [size =\"12222464\"]\n  31 -> 41 [size =\"12222464\"]\n  31 -> 47 [size =\"12222464\"]\n  32 [size=\"59607040\", alpha=\"0.11\", expect_size=\"29803520\"] \n  33 [size=\"98324480\", alpha=\"0.15\", expect_size=\"49162240\"] \n  34 [size=\"27955200\", alpha=\"0.18\", expect_size=\"13977600\"] \n  35 [size=\"96165888\", alpha=\"0.08\", expect_size=\"48082944\"] \n  36 [size=\"14790656\", alpha=\"0.02\", expect_size=\"7395328\"] \n  37 [size=\"92446720\", alpha=\"0.19\", expect_size=\"46223360\"] \n  38 [size=\"84602880\", alpha=\"0.17\", expect_size=\"42301440\"] \n  39 [size=\"69109760\", alpha=\"0.05\", expect_size=\"34554880\"] \n  40 [size=\"59439104\", alpha=\"0.01\", expect_size=\"29719552\"] \n  41 [size=\"54999040\", alpha=\"0.12\", expect_size=\"27499520\"] \n  42 [size=\"59707392\", alpha=\"0.18\", expect_size=\"29853696\"] \n  43 [size=\"17063936\", alpha=\"0.12\", expect_size=\"8531968\"] \n  44 [size=\"86106112\", alpha=\"0.04\", expect_size=\"43053056\"] \n  45 [size=\"76236800\", alpha=\"0.16\", expect_size=\"38118400\"] \n  46 [size=\"19951616\", alpha=\"0.09\", expect_size=\"9975808\"] \n  47 [size=\"29118464\", alpha=\"0.11\", expect_size=\"14559232\"] \n  48 [size=\"26058752\", alpha=\"0.11\", expect_size=\"13029376\"] \n  49 [size=\"11450368\", alpha=\"0.02\", expect_size=\"5725184\"] \n  50 [size=\"33153024\", alpha=\"0.10\", expect_size=\"16576512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.572.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33236992\", alpha=\"0.05\", expect_size=\"16618496\"] \n  1 -> 31 [size =\"16618496\"]\n  1 -> 32 [size =\"16618496\"]\n  1 -> 36 [size =\"16618496\"]\n  1 -> 39 [size =\"16618496\"]\n  1 -> 40 [size =\"16618496\"]\n  1 -> 45 [size =\"16618496\"]\n  2 [size=\"46702592\", alpha=\"0.08\", expect_size=\"23351296\"] \n  2 -> 31 [size =\"23351296\"]\n  2 -> 36 [size =\"23351296\"]\n  2 -> 36 [size =\"23351296\"]\n  2 -> 37 [size =\"23351296\"]\n  2 -> 42 [size =\"23351296\"]\n  2 -> 46 [size =\"23351296\"]\n  2 -> 47 [size =\"23351296\"]\n  3 [size=\"97030144\", alpha=\"0.06\", expect_size=\"48515072\"] \n  3 -> 32 [size =\"48515072\"]\n  3 -> 36 [size =\"48515072\"]\n  3 -> 40 [size =\"48515072\"]\n  3 -> 41 [size =\"48515072\"]\n  3 -> 44 [size =\"48515072\"]\n  3 -> 45 [size =\"48515072\"]\n  3 -> 46 [size =\"48515072\"]\n  3 -> 50 [size =\"48515072\"]\n  4 [size=\"52740096\", alpha=\"0.19\", expect_size=\"26370048\"] \n  4 -> 32 [size =\"26370048\"]\n  4 -> 34 [size =\"26370048\"]\n  4 -> 37 [size =\"26370048\"]\n  4 -> 39 [size =\"26370048\"]\n  4 -> 40 [size =\"26370048\"]\n  4 -> 42 [size =\"26370048\"]\n  4 -> 45 [size =\"26370048\"]\n  4 -> 47 [size =\"26370048\"]\n  4 -> 50 [size =\"26370048\"]\n  5 [size=\"98170880\", alpha=\"0.14\", expect_size=\"49085440\"] \n  5 -> 34 [size =\"49085440\"]\n  5 -> 37 [size =\"49085440\"]\n  5 -> 39 [size =\"49085440\"]\n  5 -> 45 [size =\"49085440\"]\n  5 -> 49 [size =\"49085440\"]\n  5 -> 50 [size =\"49085440\"]\n  6 [size=\"38619136\", alpha=\"0.06\", expect_size=\"19309568\"] \n  6 -> 32 [size =\"19309568\"]\n  6 -> 34 [size =\"19309568\"]\n  6 -> 42 [size =\"19309568\"]\n  6 -> 50 [size =\"19309568\"]\n  7 [size=\"62664704\", alpha=\"0.15\", expect_size=\"31332352\"] \n  7 -> 33 [size =\"31332352\"]\n  7 -> 35 [size =\"31332352\"]\n  7 -> 40 [size =\"31332352\"]\n  7 -> 41 [size =\"31332352\"]\n  7 -> 42 [size =\"31332352\"]\n  7 -> 49 [size =\"31332352\"]\n  8 [size=\"16766976\", alpha=\"0.09\", expect_size=\"8383488\"] \n  8 -> 38 [size =\"8383488\"]\n  8 -> 42 [size =\"8383488\"]\n  8 -> 46 [size =\"8383488\"]\n  8 -> 49 [size =\"8383488\"]\n  9 [size=\"63506432\", alpha=\"0.02\", expect_size=\"31753216\"] \n  9 -> 31 [size =\"31753216\"]\n  9 -> 35 [size =\"31753216\"]\n  9 -> 37 [size =\"31753216\"]\n  9 -> 38 [size =\"31753216\"]\n  9 -> 39 [size =\"31753216\"]\n  9 -> 41 [size =\"31753216\"]\n  9 -> 42 [size =\"31753216\"]\n  9 -> 44 [size =\"31753216\"]\n  9 -> 45 [size =\"31753216\"]\n  9 -> 49 [size =\"31753216\"]\n  10 [size=\"69115904\", alpha=\"0.05\", expect_size=\"34557952\"] \n  10 -> 31 [size =\"34557952\"]\n  10 -> 32 [size =\"34557952\"]\n  10 -> 34 [size =\"34557952\"]\n  10 -> 39 [size =\"34557952\"]\n  10 -> 40 [size =\"34557952\"]\n  10 -> 42 [size =\"34557952\"]\n  10 -> 42 [size =\"34557952\"]\n  10 -> 44 [size =\"34557952\"]\n  10 -> 45 [size =\"34557952\"]\n  10 -> 46 [size =\"34557952\"]\n  11 [size=\"57268224\", alpha=\"0.02\", expect_size=\"28634112\"] \n  11 -> 32 [size =\"28634112\"]\n  11 -> 32 [size =\"28634112\"]\n  11 -> 36 [size =\"28634112\"]\n  11 -> 42 [size =\"28634112\"]\n  11 -> 45 [size =\"28634112\"]\n  11 -> 46 [size =\"28634112\"]\n  11 -> 47 [size =\"28634112\"]\n  11 -> 49 [size =\"28634112\"]\n  11 -> 50 [size =\"28634112\"]\n  12 [size=\"78856192\", alpha=\"0.18\", expect_size=\"39428096\"] \n  12 -> 31 [size =\"39428096\"]\n  12 -> 32 [size =\"39428096\"]\n  12 -> 34 [size =\"39428096\"]\n  12 -> 39 [size =\"39428096\"]\n  12 -> 42 [size =\"39428096\"]\n  12 -> 47 [size =\"39428096\"]\n  12 -> 47 [size =\"39428096\"]\n  12 -> 50 [size =\"39428096\"]\n  13 [size=\"19890176\", alpha=\"0.20\", expect_size=\"9945088\"] \n  13 -> 39 [size =\"9945088\"]\n  13 -> 40 [size =\"9945088\"]\n  13 -> 41 [size =\"9945088\"]\n  13 -> 42 [size =\"9945088\"]\n  13 -> 42 [size =\"9945088\"]\n  13 -> 45 [size =\"9945088\"]\n  13 -> 46 [size =\"9945088\"]\n  13 -> 47 [size =\"9945088\"]\n  14 [size=\"49696768\", alpha=\"0.07\", expect_size=\"24848384\"] \n  14 -> 33 [size =\"24848384\"]\n  14 -> 38 [size =\"24848384\"]\n  14 -> 41 [size =\"24848384\"]\n  14 -> 42 [size =\"24848384\"]\n  14 -> 43 [size =\"24848384\"]\n  14 -> 45 [size =\"24848384\"]\n  14 -> 46 [size =\"24848384\"]\n  14 -> 47 [size =\"24848384\"]\n  15 [size=\"46860288\", alpha=\"0.06\", expect_size=\"23430144\"] \n  15 -> 41 [size =\"23430144\"]\n  15 -> 42 [size =\"23430144\"]\n  15 -> 43 [size =\"23430144\"]\n  15 -> 46 [size =\"23430144\"]\n  15 -> 48 [size =\"23430144\"]\n  15 -> 50 [size =\"23430144\"]\n  16 [size=\"19263488\", alpha=\"0.17\", expect_size=\"9631744\"] \n  16 -> 31 [size =\"9631744\"]\n  16 -> 34 [size =\"9631744\"]\n  16 -> 37 [size =\"9631744\"]\n  16 -> 38 [size =\"9631744\"]\n  16 -> 41 [size =\"9631744\"]\n  16 -> 42 [size =\"9631744\"]\n  16 -> 43 [size =\"9631744\"]\n  16 -> 45 [size =\"9631744\"]\n  16 -> 46 [size =\"9631744\"]\n  17 [size=\"49403904\", alpha=\"0.04\", expect_size=\"24701952\"] \n  17 -> 31 [size =\"24701952\"]\n  17 -> 34 [size =\"24701952\"]\n  17 -> 37 [size =\"24701952\"]\n  17 -> 38 [size =\"24701952\"]\n  17 -> 39 [size =\"24701952\"]\n  17 -> 40 [size =\"24701952\"]\n  17 -> 41 [size =\"24701952\"]\n  17 -> 42 [size =\"24701952\"]\n  18 [size=\"25006080\", alpha=\"0.06\", expect_size=\"12503040\"] \n  18 -> 31 [size =\"12503040\"]\n  18 -> 34 [size =\"12503040\"]\n  18 -> 37 [size =\"12503040\"]\n  18 -> 39 [size =\"12503040\"]\n  18 -> 40 [size =\"12503040\"]\n  18 -> 41 [size =\"12503040\"]\n  18 -> 41 [size =\"12503040\"]\n  18 -> 42 [size =\"12503040\"]\n  18 -> 45 [size =\"12503040\"]\n  18 -> 46 [size =\"12503040\"]\n  19 [size=\"68937728\", alpha=\"0.17\", expect_size=\"34468864\"] \n  19 -> 31 [size =\"34468864\"]\n  19 -> 32 [size =\"34468864\"]\n  19 -> 33 [size =\"34468864\"]\n  19 -> 34 [size =\"34468864\"]\n  19 -> 36 [size =\"34468864\"]\n  19 -> 39 [size =\"34468864\"]\n  19 -> 40 [size =\"34468864\"]\n  19 -> 41 [size =\"34468864\"]\n  19 -> 42 [size =\"34468864\"]\n  19 -> 45 [size =\"34468864\"]\n  19 -> 46 [size =\"34468864\"]\n  19 -> 50 [size =\"34468864\"]\n  20 [size=\"79484928\", alpha=\"0.11\", expect_size=\"39742464\"] \n  20 -> 31 [size =\"39742464\"]\n  20 -> 33 [size =\"39742464\"]\n  20 -> 34 [size =\"39742464\"]\n  20 -> 36 [size =\"39742464\"]\n  20 -> 37 [size =\"39742464\"]\n  20 -> 39 [size =\"39742464\"]\n  20 -> 40 [size =\"39742464\"]\n  20 -> 42 [size =\"39742464\"]\n  20 -> 43 [size =\"39742464\"]\n  20 -> 45 [size =\"39742464\"]\n  20 -> 46 [size =\"39742464\"]\n  20 -> 48 [size =\"39742464\"]\n  20 -> 50 [size =\"39742464\"]\n  21 [size=\"101521408\", alpha=\"0.10\", expect_size=\"50760704\"] \n  21 -> 32 [size =\"50760704\"]\n  21 -> 34 [size =\"50760704\"]\n  21 -> 38 [size =\"50760704\"]\n  21 -> 39 [size =\"50760704\"]\n  21 -> 40 [size =\"50760704\"]\n  21 -> 41 [size =\"50760704\"]\n  21 -> 50 [size =\"50760704\"]\n  22 [size=\"14331904\", alpha=\"0.16\", expect_size=\"7165952\"] \n  22 -> 32 [size =\"7165952\"]\n  22 -> 33 [size =\"7165952\"]\n  22 -> 38 [size =\"7165952\"]\n  22 -> 39 [size =\"7165952\"]\n  22 -> 45 [size =\"7165952\"]\n  22 -> 46 [size =\"7165952\"]\n  22 -> 48 [size =\"7165952\"]\n  23 [size=\"97421312\", alpha=\"0.01\", expect_size=\"48710656\"] \n  23 -> 32 [size =\"48710656\"]\n  23 -> 33 [size =\"48710656\"]\n  23 -> 34 [size =\"48710656\"]\n  23 -> 36 [size =\"48710656\"]\n  23 -> 38 [size =\"48710656\"]\n  23 -> 39 [size =\"48710656\"]\n  23 -> 40 [size =\"48710656\"]\n  23 -> 41 [size =\"48710656\"]\n  23 -> 42 [size =\"48710656\"]\n  23 -> 46 [size =\"48710656\"]\n  23 -> 48 [size =\"48710656\"]\n  23 -> 50 [size =\"48710656\"]\n  24 [size=\"95154176\", alpha=\"0.15\", expect_size=\"47577088\"] \n  24 -> 31 [size =\"47577088\"]\n  24 -> 33 [size =\"47577088\"]\n  24 -> 34 [size =\"47577088\"]\n  24 -> 36 [size =\"47577088\"]\n  24 -> 39 [size =\"47577088\"]\n  24 -> 39 [size =\"47577088\"]\n  24 -> 40 [size =\"47577088\"]\n  24 -> 41 [size =\"47577088\"]\n  24 -> 42 [size =\"47577088\"]\n  24 -> 46 [size =\"47577088\"]\n  24 -> 47 [size =\"47577088\"]\n  24 -> 49 [size =\"47577088\"]\n  25 [size=\"34879488\", alpha=\"0.07\", expect_size=\"17439744\"] \n  25 -> 33 [size =\"17439744\"]\n  25 -> 34 [size =\"17439744\"]\n  25 -> 34 [size =\"17439744\"]\n  25 -> 36 [size =\"17439744\"]\n  25 -> 39 [size =\"17439744\"]\n  25 -> 40 [size =\"17439744\"]\n  25 -> 40 [size =\"17439744\"]\n  25 -> 41 [size =\"17439744\"]\n  25 -> 42 [size =\"17439744\"]\n  25 -> 43 [size =\"17439744\"]\n  25 -> 46 [size =\"17439744\"]\n  25 -> 50 [size =\"17439744\"]\n  26 [size=\"62904320\", alpha=\"0.05\", expect_size=\"31452160\"] \n  26 -> 31 [size =\"31452160\"]\n  26 -> 36 [size =\"31452160\"]\n  26 -> 39 [size =\"31452160\"]\n  26 -> 42 [size =\"31452160\"]\n  26 -> 43 [size =\"31452160\"]\n  26 -> 45 [size =\"31452160\"]\n  26 -> 46 [size =\"31452160\"]\n  27 [size=\"47886336\", alpha=\"0.15\", expect_size=\"23943168\"] \n  27 -> 33 [size =\"23943168\"]\n  27 -> 34 [size =\"23943168\"]\n  27 -> 36 [size =\"23943168\"]\n  27 -> 38 [size =\"23943168\"]\n  27 -> 39 [size =\"23943168\"]\n  27 -> 42 [size =\"23943168\"]\n  27 -> 45 [size =\"23943168\"]\n  27 -> 46 [size =\"23943168\"]\n  27 -> 47 [size =\"23943168\"]\n  28 [size=\"67536896\", alpha=\"0.05\", expect_size=\"33768448\"] \n  28 -> 32 [size =\"33768448\"]\n  28 -> 34 [size =\"33768448\"]\n  28 -> 36 [size =\"33768448\"]\n  28 -> 38 [size =\"33768448\"]\n  28 -> 39 [size =\"33768448\"]\n  28 -> 40 [size =\"33768448\"]\n  28 -> 41 [size =\"33768448\"]\n  28 -> 42 [size =\"33768448\"]\n  28 -> 43 [size =\"33768448\"]\n  28 -> 45 [size =\"33768448\"]\n  28 -> 46 [size =\"33768448\"]\n  28 -> 47 [size =\"33768448\"]\n  29 [size=\"95049728\", alpha=\"0.07\", expect_size=\"47524864\"] \n  29 -> 31 [size =\"47524864\"]\n  29 -> 34 [size =\"47524864\"]\n  29 -> 36 [size =\"47524864\"]\n  29 -> 39 [size =\"47524864\"]\n  29 -> 39 [size =\"47524864\"]\n  29 -> 41 [size =\"47524864\"]\n  29 -> 41 [size =\"47524864\"]\n  29 -> 45 [size =\"47524864\"]\n  29 -> 46 [size =\"47524864\"]\n  29 -> 47 [size =\"47524864\"]\n  29 -> 48 [size =\"47524864\"]\n  29 -> 49 [size =\"47524864\"]\n  30 [size=\"81889280\", alpha=\"0.02\", expect_size=\"40944640\"] \n  30 -> 31 [size =\"40944640\"]\n  30 -> 36 [size =\"40944640\"]\n  30 -> 39 [size =\"40944640\"]\n  30 -> 39 [size =\"40944640\"]\n  30 -> 45 [size =\"40944640\"]\n  30 -> 46 [size =\"40944640\"]\n  30 -> 48 [size =\"40944640\"]\n  31 [size=\"40077312\", alpha=\"0.06\", expect_size=\"20038656\"] \n  32 [size=\"86734848\", alpha=\"0.05\", expect_size=\"43367424\"] \n  33 [size=\"69341184\", alpha=\"0.05\", expect_size=\"34670592\"] \n  34 [size=\"74436608\", alpha=\"0.14\", expect_size=\"37218304\"] \n  35 [size=\"49905664\", alpha=\"0.11\", expect_size=\"24952832\"] \n  36 [size=\"83435520\", alpha=\"0.10\", expect_size=\"41717760\"] \n  37 [size=\"14415872\", alpha=\"0.16\", expect_size=\"7207936\"] \n  38 [size=\"83769344\", alpha=\"0.06\", expect_size=\"41884672\"] \n  39 [size=\"14663680\", alpha=\"0.09\", expect_size=\"7331840\"] \n  40 [size=\"48861184\", alpha=\"0.06\", expect_size=\"24430592\"] \n  41 [size=\"56252416\", alpha=\"0.02\", expect_size=\"28126208\"] \n  42 [size=\"83619840\", alpha=\"0.19\", expect_size=\"41809920\"] \n  43 [size=\"10586112\", alpha=\"0.14\", expect_size=\"5293056\"] \n  44 [size=\"35307520\", alpha=\"0.08\", expect_size=\"17653760\"] \n  45 [size=\"102619136\", alpha=\"0.06\", expect_size=\"51309568\"] \n  46 [size=\"60153856\", alpha=\"0.16\", expect_size=\"30076928\"] \n  47 [size=\"11065344\", alpha=\"0.14\", expect_size=\"5532672\"] \n  48 [size=\"88641536\", alpha=\"0.03\", expect_size=\"44320768\"] \n  49 [size=\"24285184\", alpha=\"0.11\", expect_size=\"12142592\"] \n  50 [size=\"65198080\", alpha=\"0.14\", expect_size=\"32599040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.573.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126334293\", alpha=\"0.03\", expect_size=\"37900288\"] \n  1 -> 4 [size =\"37900288\"]\n  1 -> 5 [size =\"37900288\"]\n  1 -> 6 [size =\"37900288\"]\n  2 [size=\"143694507\", alpha=\"0.08\", expect_size=\"43108352\"] \n  2 -> 4 [size =\"43108352\"]\n  2 -> 6 [size =\"43108352\"]\n  3 [size=\"92043947\", alpha=\"0.06\", expect_size=\"27613184\"] \n  3 -> 4 [size =\"27613184\"]\n  3 -> 5 [size =\"27613184\"]\n  4 [size=\"133952853\", alpha=\"0.02\", expect_size=\"40185856\"] \n  4 -> 7 [size =\"40185856\"]\n  5 [size=\"86644053\", alpha=\"0.12\", expect_size=\"25993216\"] \n  5 -> 7 [size =\"25993216\"]\n  5 -> 8 [size =\"25993216\"]\n  5 -> 9 [size =\"25993216\"]\n  6 [size=\"101608107\", alpha=\"0.13\", expect_size=\"30482432\"] \n  7 [size=\"174462293\", alpha=\"0.08\", expect_size=\"52338688\"] \n  7 -> 11 [size =\"52338688\"]\n  8 [size=\"148073813\", alpha=\"0.11\", expect_size=\"44422144\"] \n  8 -> 10 [size =\"44422144\"]\n  8 -> 11 [size =\"44422144\"]\n  9 [size=\"159146667\", alpha=\"0.18\", expect_size=\"47744000\"] \n  10 [size=\"91026773\", alpha=\"0.17\", expect_size=\"27308032\"] \n  10 -> 12 [size =\"27308032\"]\n  10 -> 13 [size =\"27308032\"]\n  11 [size=\"112776533\", alpha=\"0.16\", expect_size=\"33832960\"] \n  11 -> 12 [size =\"33832960\"]\n  11 -> 13 [size =\"33832960\"]\n  12 [size=\"134980267\", alpha=\"0.07\", expect_size=\"40494080\"] \n  12 -> 14 [size =\"40494080\"]\n  12 -> 15 [size =\"40494080\"]\n  13 [size=\"43240107\", alpha=\"0.16\", expect_size=\"12972032\"] \n  13 -> 14 [size =\"12972032\"]\n  13 -> 15 [size =\"12972032\"]\n  13 -> 16 [size =\"12972032\"]\n  14 [size=\"88477013\", alpha=\"0.14\", expect_size=\"26543104\"] \n  14 -> 17 [size =\"26543104\"]\n  15 [size=\"107953493\", alpha=\"0.09\", expect_size=\"32386048\"] \n  16 [size=\"45636267\", alpha=\"0.01\", expect_size=\"13690880\"] \n  16 -> 18 [size =\"13690880\"]\n  17 [size=\"144209920\", alpha=\"0.13\", expect_size=\"43262976\"] \n  17 -> 19 [size =\"43262976\"]\n  17 -> 20 [size =\"43262976\"]\n  18 [size=\"47858347\", alpha=\"0.00\", expect_size=\"14357504\"] \n  18 -> 19 [size =\"14357504\"]\n  18 -> 20 [size =\"14357504\"]\n  19 [size=\"137553920\", alpha=\"0.16\", expect_size=\"41266176\"] \n  19 -> 21 [size =\"41266176\"]\n  19 -> 22 [size =\"41266176\"]\n  20 [size=\"124832427\", alpha=\"0.08\", expect_size=\"37449728\"] \n  20 -> 21 [size =\"37449728\"]\n  20 -> 22 [size =\"37449728\"]\n  21 [size=\"100020907\", alpha=\"0.14\", expect_size=\"30006272\"] \n  21 -> 23 [size =\"30006272\"]\n  21 -> 25 [size =\"30006272\"]\n  22 [size=\"70068907\", alpha=\"0.16\", expect_size=\"21020672\"] \n  22 -> 23 [size =\"21020672\"]\n  22 -> 24 [size =\"21020672\"]\n  22 -> 25 [size =\"21020672\"]\n  23 [size=\"123859627\", alpha=\"0.07\", expect_size=\"37157888\"] \n  23 -> 26 [size =\"37157888\"]\n  23 -> 28 [size =\"37157888\"]\n  24 [size=\"90845867\", alpha=\"0.14\", expect_size=\"27253760\"] \n  24 -> 27 [size =\"27253760\"]\n  24 -> 28 [size =\"27253760\"]\n  25 [size=\"44373333\", alpha=\"0.09\", expect_size=\"13312000\"] \n  25 -> 28 [size =\"13312000\"]\n  26 [size=\"117169493\", alpha=\"0.15\", expect_size=\"35150848\"] \n  26 -> 29 [size =\"35150848\"]\n  26 -> 31 [size =\"35150848\"]\n  27 [size=\"124043947\", alpha=\"0.00\", expect_size=\"37213184\"] \n  27 -> 30 [size =\"37213184\"]\n  28 [size=\"68887893\", alpha=\"0.03\", expect_size=\"20666368\"] \n  28 -> 30 [size =\"20666368\"]\n  29 [size=\"72475307\", alpha=\"0.03\", expect_size=\"21742592\"] \n  29 -> 33 [size =\"21742592\"]\n  30 [size=\"41707520\", alpha=\"0.13\", expect_size=\"12512256\"] \n  30 -> 32 [size =\"12512256\"]\n  30 -> 33 [size =\"12512256\"]\n  31 [size=\"105847467\", alpha=\"0.14\", expect_size=\"31754240\"] \n  31 -> 33 [size =\"31754240\"]\n  32 [size=\"59187200\", alpha=\"0.11\", expect_size=\"17756160\"] \n  32 -> 34 [size =\"17756160\"]\n  32 -> 35 [size =\"17756160\"]\n  33 [size=\"27944960\", alpha=\"0.11\", expect_size=\"8383488\"] \n  33 -> 34 [size =\"8383488\"]\n  34 [size=\"86691840\", alpha=\"0.00\", expect_size=\"26007552\"] \n  34 -> 37 [size =\"26007552\"]\n  35 [size=\"37328213\", alpha=\"0.01\", expect_size=\"11198464\"] \n  35 -> 36 [size =\"11198464\"]\n  35 -> 37 [size =\"11198464\"]\n  36 [size=\"106318507\", alpha=\"0.05\", expect_size=\"31895552\"] \n  36 -> 39 [size =\"31895552\"]\n  37 [size=\"63218347\", alpha=\"0.05\", expect_size=\"18965504\"] \n  37 -> 38 [size =\"18965504\"]\n  37 -> 39 [size =\"18965504\"]\n  38 [size=\"65017173\", alpha=\"0.09\", expect_size=\"19505152\"] \n  38 -> 40 [size =\"19505152\"]\n  38 -> 41 [size =\"19505152\"]\n  39 [size=\"85026133\", alpha=\"0.09\", expect_size=\"25507840\"] \n  39 -> 40 [size =\"25507840\"]\n  39 -> 42 [size =\"25507840\"]\n  40 [size=\"107632640\", alpha=\"0.02\", expect_size=\"32289792\"] \n  40 -> 43 [size =\"32289792\"]\n  40 -> 44 [size =\"32289792\"]\n  40 -> 45 [size =\"32289792\"]\n  41 [size=\"49100800\", alpha=\"0.05\", expect_size=\"14730240\"] \n  41 -> 44 [size =\"14730240\"]\n  41 -> 45 [size =\"14730240\"]\n  42 [size=\"162020693\", alpha=\"0.15\", expect_size=\"48606208\"] \n  42 -> 44 [size =\"48606208\"]\n  42 -> 45 [size =\"48606208\"]\n  43 [size=\"92030293\", alpha=\"0.19\", expect_size=\"27609088\"] \n  43 -> 46 [size =\"27609088\"]\n  43 -> 47 [size =\"27609088\"]\n  44 [size=\"22190080\", alpha=\"0.12\", expect_size=\"6657024\"] \n  44 -> 47 [size =\"6657024\"]\n  45 [size=\"23497387\", alpha=\"0.09\", expect_size=\"7049216\"] \n  45 -> 48 [size =\"7049216\"]\n  46 [size=\"29146453\", alpha=\"0.18\", expect_size=\"8743936\"] \n  46 -> 49 [size =\"8743936\"]\n  46 -> 50 [size =\"8743936\"]\n  47 [size=\"67300693\", alpha=\"0.01\", expect_size=\"20190208\"] \n  47 -> 49 [size =\"20190208\"]\n  47 -> 50 [size =\"20190208\"]\n  48 [size=\"107414187\", alpha=\"0.10\", expect_size=\"32224256\"] \n  48 -> 50 [size =\"32224256\"]\n  49 [size=\"22579200\", alpha=\"0.06\", expect_size=\"6773760\"] \n  50 [size=\"90159787\", alpha=\"0.05\", expect_size=\"27047936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.574.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51261440\", alpha=\"0.02\", expect_size=\"25630720\"] \n  1 -> 6 [size =\"25630720\"]\n  2 [size=\"56528896\", alpha=\"0.18\", expect_size=\"28264448\"] \n  2 -> 6 [size =\"28264448\"]\n  2 -> 7 [size =\"28264448\"]\n  2 -> 8 [size =\"28264448\"]\n  2 -> 10 [size =\"28264448\"]\n  3 [size=\"36050944\", alpha=\"0.17\", expect_size=\"18025472\"] \n  3 -> 6 [size =\"18025472\"]\n  3 -> 7 [size =\"18025472\"]\n  3 -> 8 [size =\"18025472\"]\n  4 [size=\"87197696\", alpha=\"0.07\", expect_size=\"43598848\"] \n  4 -> 6 [size =\"43598848\"]\n  4 -> 10 [size =\"43598848\"]\n  5 [size=\"65189888\", alpha=\"0.01\", expect_size=\"32594944\"] \n  5 -> 6 [size =\"32594944\"]\n  5 -> 7 [size =\"32594944\"]\n  5 -> 9 [size =\"32594944\"]\n  6 [size=\"57309184\", alpha=\"0.18\", expect_size=\"28654592\"] \n  6 -> 11 [size =\"28654592\"]\n  6 -> 14 [size =\"28654592\"]\n  6 -> 16 [size =\"28654592\"]\n  7 [size=\"42987520\", alpha=\"0.17\", expect_size=\"21493760\"] \n  7 -> 11 [size =\"21493760\"]\n  7 -> 12 [size =\"21493760\"]\n  7 -> 14 [size =\"21493760\"]\n  7 -> 16 [size =\"21493760\"]\n  8 [size=\"24881152\", alpha=\"0.18\", expect_size=\"12440576\"] \n  8 -> 11 [size =\"12440576\"]\n  8 -> 13 [size =\"12440576\"]\n  8 -> 14 [size =\"12440576\"]\n  8 -> 16 [size =\"12440576\"]\n  9 [size=\"67354624\", alpha=\"0.17\", expect_size=\"33677312\"] \n  9 -> 11 [size =\"33677312\"]\n  9 -> 12 [size =\"33677312\"]\n  9 -> 14 [size =\"33677312\"]\n  9 -> 15 [size =\"33677312\"]\n  9 -> 16 [size =\"33677312\"]\n  10 [size=\"92387328\", alpha=\"0.08\", expect_size=\"46193664\"] \n  10 -> 11 [size =\"46193664\"]\n  10 -> 13 [size =\"46193664\"]\n  10 -> 14 [size =\"46193664\"]\n  11 [size=\"58126336\", alpha=\"0.05\", expect_size=\"29063168\"] \n  11 -> 18 [size =\"29063168\"]\n  12 [size=\"66910208\", alpha=\"0.19\", expect_size=\"33455104\"] \n  12 -> 18 [size =\"33455104\"]\n  12 -> 20 [size =\"33455104\"]\n  13 [size=\"56819712\", alpha=\"0.18\", expect_size=\"28409856\"] \n  13 -> 20 [size =\"28409856\"]\n  14 [size=\"42897408\", alpha=\"0.07\", expect_size=\"21448704\"] \n  15 [size=\"74924032\", alpha=\"0.08\", expect_size=\"37462016\"] \n  15 -> 18 [size =\"37462016\"]\n  15 -> 21 [size =\"37462016\"]\n  16 [size=\"79437824\", alpha=\"0.06\", expect_size=\"39718912\"] \n  16 -> 17 [size =\"39718912\"]\n  16 -> 18 [size =\"39718912\"]\n  16 -> 19 [size =\"39718912\"]\n  17 [size=\"69752832\", alpha=\"0.05\", expect_size=\"34876416\"] \n  17 -> 22 [size =\"34876416\"]\n  17 -> 24 [size =\"34876416\"]\n  17 -> 25 [size =\"34876416\"]\n  17 -> 29 [size =\"34876416\"]\n  18 [size=\"57749504\", alpha=\"0.06\", expect_size=\"28874752\"] \n  18 -> 24 [size =\"28874752\"]\n  18 -> 24 [size =\"28874752\"]\n  18 -> 25 [size =\"28874752\"]\n  18 -> 29 [size =\"28874752\"]\n  19 [size=\"48238592\", alpha=\"0.09\", expect_size=\"24119296\"] \n  19 -> 24 [size =\"24119296\"]\n  19 -> 25 [size =\"24119296\"]\n  19 -> 27 [size =\"24119296\"]\n  20 [size=\"35375104\", alpha=\"0.17\", expect_size=\"17687552\"] \n  20 -> 23 [size =\"17687552\"]\n  20 -> 24 [size =\"17687552\"]\n  20 -> 25 [size =\"17687552\"]\n  20 -> 26 [size =\"17687552\"]\n  20 -> 28 [size =\"17687552\"]\n  21 [size=\"74870784\", alpha=\"0.14\", expect_size=\"37435392\"] \n  21 -> 25 [size =\"37435392\"]\n  21 -> 27 [size =\"37435392\"]\n  22 [size=\"100507648\", alpha=\"0.00\", expect_size=\"50253824\"] \n  22 -> 30 [size =\"50253824\"]\n  22 -> 31 [size =\"50253824\"]\n  23 [size=\"95602688\", alpha=\"0.12\", expect_size=\"47801344\"] \n  24 [size=\"84389888\", alpha=\"0.00\", expect_size=\"42194944\"] \n  25 [size=\"22751232\", alpha=\"0.20\", expect_size=\"11375616\"] \n  25 -> 30 [size =\"11375616\"]\n  25 -> 32 [size =\"11375616\"]\n  25 -> 34 [size =\"11375616\"]\n  25 -> 35 [size =\"11375616\"]\n  26 [size=\"60329984\", alpha=\"0.09\", expect_size=\"30164992\"] \n  27 [size=\"86671360\", alpha=\"0.06\", expect_size=\"43335680\"] \n  27 -> 31 [size =\"43335680\"]\n  27 -> 33 [size =\"43335680\"]\n  28 [size=\"16693248\", alpha=\"0.06\", expect_size=\"8346624\"] \n  28 -> 32 [size =\"8346624\"]\n  28 -> 34 [size =\"8346624\"]\n  29 [size=\"44261376\", alpha=\"0.17\", expect_size=\"22130688\"] \n  29 -> 30 [size =\"22130688\"]\n  29 -> 32 [size =\"22130688\"]\n  29 -> 34 [size =\"22130688\"]\n  30 [size=\"86491136\", alpha=\"0.06\", expect_size=\"43245568\"] \n  30 -> 39 [size =\"43245568\"]\n  30 -> 40 [size =\"43245568\"]\n  31 [size=\"72292352\", alpha=\"0.05\", expect_size=\"36146176\"] \n  31 -> 37 [size =\"36146176\"]\n  31 -> 38 [size =\"36146176\"]\n  31 -> 39 [size =\"36146176\"]\n  31 -> 40 [size =\"36146176\"]\n  32 [size=\"42442752\", alpha=\"0.16\", expect_size=\"21221376\"] \n  32 -> 37 [size =\"21221376\"]\n  32 -> 38 [size =\"21221376\"]\n  32 -> 39 [size =\"21221376\"]\n  33 [size=\"42985472\", alpha=\"0.17\", expect_size=\"21492736\"] \n  33 -> 40 [size =\"21492736\"]\n  34 [size=\"99487744\", alpha=\"0.05\", expect_size=\"49743872\"] \n  34 -> 36 [size =\"49743872\"]\n  34 -> 38 [size =\"49743872\"]\n  35 [size=\"99919872\", alpha=\"0.06\", expect_size=\"49959936\"] \n  35 -> 36 [size =\"49959936\"]\n  35 -> 38 [size =\"49959936\"]\n  36 [size=\"98988032\", alpha=\"0.02\", expect_size=\"49494016\"] \n  36 -> 41 [size =\"49494016\"]\n  36 -> 42 [size =\"49494016\"]\n  36 -> 43 [size =\"49494016\"]\n  36 -> 46 [size =\"49494016\"]\n  36 -> 47 [size =\"49494016\"]\n  37 [size=\"49141760\", alpha=\"0.11\", expect_size=\"24570880\"] \n  37 -> 41 [size =\"24570880\"]\n  37 -> 43 [size =\"24570880\"]\n  37 -> 43 [size =\"24570880\"]\n  37 -> 45 [size =\"24570880\"]\n  37 -> 46 [size =\"24570880\"]\n  37 -> 47 [size =\"24570880\"]\n  38 [size=\"77258752\", alpha=\"0.09\", expect_size=\"38629376\"] \n  38 -> 41 [size =\"38629376\"]\n  38 -> 42 [size =\"38629376\"]\n  38 -> 44 [size =\"38629376\"]\n  38 -> 46 [size =\"38629376\"]\n  39 [size=\"103362560\", alpha=\"0.16\", expect_size=\"51681280\"] \n  39 -> 41 [size =\"51681280\"]\n  39 -> 42 [size =\"51681280\"]\n  39 -> 43 [size =\"51681280\"]\n  39 -> 45 [size =\"51681280\"]\n  39 -> 46 [size =\"51681280\"]\n  39 -> 47 [size =\"51681280\"]\n  40 [size=\"89952256\", alpha=\"0.08\", expect_size=\"44976128\"] \n  40 -> 41 [size =\"44976128\"]\n  40 -> 42 [size =\"44976128\"]\n  40 -> 43 [size =\"44976128\"]\n  40 -> 44 [size =\"44976128\"]\n  40 -> 46 [size =\"44976128\"]\n  40 -> 47 [size =\"44976128\"]\n  41 [size=\"24559616\", alpha=\"0.13\", expect_size=\"12279808\"] \n  41 -> 48 [size =\"12279808\"]\n  41 -> 49 [size =\"12279808\"]\n  41 -> 50 [size =\"12279808\"]\n  42 [size=\"49197056\", alpha=\"0.18\", expect_size=\"24598528\"] \n  42 -> 48 [size =\"24598528\"]\n  42 -> 50 [size =\"24598528\"]\n  43 [size=\"31547392\", alpha=\"0.00\", expect_size=\"15773696\"] \n  43 -> 48 [size =\"15773696\"]\n  43 -> 50 [size =\"15773696\"]\n  44 [size=\"17944576\", alpha=\"0.19\", expect_size=\"8972288\"] \n  44 -> 48 [size =\"8972288\"]\n  44 -> 49 [size =\"8972288\"]\n  45 [size=\"40802304\", alpha=\"0.20\", expect_size=\"20401152\"] \n  45 -> 48 [size =\"20401152\"]\n  46 [size=\"70189056\", alpha=\"0.11\", expect_size=\"35094528\"] \n  46 -> 48 [size =\"35094528\"]\n  47 [size=\"80685056\", alpha=\"0.19\", expect_size=\"40342528\"] \n  47 -> 48 [size =\"40342528\"]\n  48 [size=\"37185536\", alpha=\"0.08\", expect_size=\"18592768\"] \n  49 [size=\"81326080\", alpha=\"0.04\", expect_size=\"40663040\"] \n  50 [size=\"62119936\", alpha=\"0.16\", expect_size=\"31059968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.575.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52090880\", alpha=\"0.09\", expect_size=\"20836352\"] \n  1 -> 15 [size =\"20836352\"]\n  1 -> 24 [size =\"20836352\"]\n  2 [size=\"29888000\", alpha=\"0.02\", expect_size=\"11955200\"] \n  2 -> 19 [size =\"11955200\"]\n  2 -> 20 [size =\"11955200\"]\n  2 -> 21 [size =\"11955200\"]\n  2 -> 22 [size =\"11955200\"]\n  2 -> 25 [size =\"11955200\"]\n  2 -> 30 [size =\"11955200\"]\n  3 [size=\"115596800\", alpha=\"0.06\", expect_size=\"46238720\"] \n  3 -> 13 [size =\"46238720\"]\n  3 -> 19 [size =\"46238720\"]\n  3 -> 26 [size =\"46238720\"]\n  3 -> 29 [size =\"46238720\"]\n  4 [size=\"104634880\", alpha=\"0.04\", expect_size=\"41853952\"] \n  4 -> 15 [size =\"41853952\"]\n  4 -> 17 [size =\"41853952\"]\n  4 -> 18 [size =\"41853952\"]\n  4 -> 19 [size =\"41853952\"]\n  4 -> 21 [size =\"41853952\"]\n  4 -> 26 [size =\"41853952\"]\n  4 -> 27 [size =\"41853952\"]\n  5 [size=\"47490560\", alpha=\"0.14\", expect_size=\"18996224\"] \n  5 -> 19 [size =\"18996224\"]\n  5 -> 20 [size =\"18996224\"]\n  5 -> 21 [size =\"18996224\"]\n  5 -> 26 [size =\"18996224\"]\n  5 -> 27 [size =\"18996224\"]\n  6 [size=\"46548480\", alpha=\"0.04\", expect_size=\"18619392\"] \n  6 -> 15 [size =\"18619392\"]\n  7 [size=\"66191360\", alpha=\"0.09\", expect_size=\"26476544\"] \n  7 -> 13 [size =\"26476544\"]\n  7 -> 14 [size =\"26476544\"]\n  7 -> 15 [size =\"26476544\"]\n  7 -> 20 [size =\"26476544\"]\n  7 -> 21 [size =\"26476544\"]\n  7 -> 23 [size =\"26476544\"]\n  7 -> 25 [size =\"26476544\"]\n  7 -> 27 [size =\"26476544\"]\n  7 -> 28 [size =\"26476544\"]\n  8 [size=\"52185600\", alpha=\"0.15\", expect_size=\"20874240\"] \n  8 -> 26 [size =\"20874240\"]\n  8 -> 28 [size =\"20874240\"]\n  9 [size=\"90350080\", alpha=\"0.18\", expect_size=\"36140032\"] \n  9 -> 13 [size =\"36140032\"]\n  9 -> 16 [size =\"36140032\"]\n  9 -> 22 [size =\"36140032\"]\n  9 -> 26 [size =\"36140032\"]\n  9 -> 28 [size =\"36140032\"]\n  10 [size=\"122135040\", alpha=\"0.19\", expect_size=\"48854016\"] \n  10 -> 22 [size =\"48854016\"]\n  10 -> 23 [size =\"48854016\"]\n  10 -> 28 [size =\"48854016\"]\n  10 -> 30 [size =\"48854016\"]\n  11 [size=\"34867200\", alpha=\"0.13\", expect_size=\"13946880\"] \n  11 -> 20 [size =\"13946880\"]\n  11 -> 22 [size =\"13946880\"]\n  11 -> 28 [size =\"13946880\"]\n  11 -> 29 [size =\"13946880\"]\n  12 [size=\"89953280\", alpha=\"0.18\", expect_size=\"35981312\"] \n  12 -> 21 [size =\"35981312\"]\n  12 -> 22 [size =\"35981312\"]\n  12 -> 25 [size =\"35981312\"]\n  12 -> 28 [size =\"35981312\"]\n  13 [size=\"101696000\", alpha=\"0.06\", expect_size=\"40678400\"] \n  13 -> 33 [size =\"40678400\"]\n  13 -> 34 [size =\"40678400\"]\n  13 -> 36 [size =\"40678400\"]\n  13 -> 37 [size =\"40678400\"]\n  13 -> 39 [size =\"40678400\"]\n  14 [size=\"17776640\", alpha=\"0.04\", expect_size=\"7110656\"] \n  14 -> 31 [size =\"7110656\"]\n  14 -> 34 [size =\"7110656\"]\n  14 -> 37 [size =\"7110656\"]\n  14 -> 40 [size =\"7110656\"]\n  15 [size=\"39984640\", alpha=\"0.01\", expect_size=\"15993856\"] \n  15 -> 31 [size =\"15993856\"]\n  15 -> 34 [size =\"15993856\"]\n  15 -> 35 [size =\"15993856\"]\n  15 -> 37 [size =\"15993856\"]\n  16 [size=\"122270720\", alpha=\"0.11\", expect_size=\"48908288\"] \n  16 -> 38 [size =\"48908288\"]\n  17 [size=\"26309120\", alpha=\"0.07\", expect_size=\"10523648\"] \n  17 -> 34 [size =\"10523648\"]\n  17 -> 41 [size =\"10523648\"]\n  18 [size=\"79861760\", alpha=\"0.13\", expect_size=\"31944704\"] \n  18 -> 34 [size =\"31944704\"]\n  19 [size=\"48514560\", alpha=\"0.03\", expect_size=\"19405824\"] \n  19 -> 31 [size =\"19405824\"]\n  19 -> 34 [size =\"19405824\"]\n  19 -> 36 [size =\"19405824\"]\n  20 [size=\"34800640\", alpha=\"0.10\", expect_size=\"13920256\"] \n  20 -> 31 [size =\"13920256\"]\n  20 -> 36 [size =\"13920256\"]\n  20 -> 36 [size =\"13920256\"]\n  20 -> 37 [size =\"13920256\"]\n  21 [size=\"27645440\", alpha=\"0.04\", expect_size=\"11058176\"] \n  21 -> 31 [size =\"11058176\"]\n  21 -> 32 [size =\"11058176\"]\n  21 -> 33 [size =\"11058176\"]\n  21 -> 36 [size =\"11058176\"]\n  21 -> 41 [size =\"11058176\"]\n  22 [size=\"103905280\", alpha=\"0.20\", expect_size=\"41562112\"] \n  22 -> 31 [size =\"41562112\"]\n  22 -> 33 [size =\"41562112\"]\n  22 -> 36 [size =\"41562112\"]\n  22 -> 40 [size =\"41562112\"]\n  23 [size=\"91473920\", alpha=\"0.14\", expect_size=\"36589568\"] \n  23 -> 33 [size =\"36589568\"]\n  23 -> 36 [size =\"36589568\"]\n  23 -> 41 [size =\"36589568\"]\n  24 [size=\"128227840\", alpha=\"0.03\", expect_size=\"51291136\"] \n  24 -> 38 [size =\"51291136\"]\n  25 [size=\"32412160\", alpha=\"0.18\", expect_size=\"12964864\"] \n  25 -> 34 [size =\"12964864\"]\n  26 [size=\"40478720\", alpha=\"0.19\", expect_size=\"16191488\"] \n  26 -> 39 [size =\"16191488\"]\n  27 [size=\"105553920\", alpha=\"0.09\", expect_size=\"42221568\"] \n  27 -> 36 [size =\"42221568\"]\n  27 -> 37 [size =\"42221568\"]\n  28 [size=\"27724800\", alpha=\"0.05\", expect_size=\"11089920\"] \n  28 -> 38 [size =\"11089920\"]\n  29 [size=\"104967680\", alpha=\"0.15\", expect_size=\"41987072\"] \n  29 -> 36 [size =\"41987072\"]\n  29 -> 37 [size =\"41987072\"]\n  30 [size=\"122864640\", alpha=\"0.03\", expect_size=\"49145856\"] \n  30 -> 32 [size =\"49145856\"]\n  30 -> 34 [size =\"49145856\"]\n  30 -> 41 [size =\"49145856\"]\n  31 [size=\"63838720\", alpha=\"0.15\", expect_size=\"25535488\"] \n  31 -> 46 [size =\"25535488\"]\n  31 -> 49 [size =\"25535488\"]\n  32 [size=\"84835840\", alpha=\"0.19\", expect_size=\"33934336\"] \n  32 -> 42 [size =\"33934336\"]\n  32 -> 45 [size =\"33934336\"]\n  33 [size=\"84677120\", alpha=\"0.19\", expect_size=\"33870848\"] \n  33 -> 43 [size =\"33870848\"]\n  33 -> 44 [size =\"33870848\"]\n  34 [size=\"47887360\", alpha=\"0.20\", expect_size=\"19154944\"] \n  34 -> 45 [size =\"19154944\"]\n  34 -> 49 [size =\"19154944\"]\n  35 [size=\"65999360\", alpha=\"0.05\", expect_size=\"26399744\"] \n  35 -> 47 [size =\"26399744\"]\n  35 -> 50 [size =\"26399744\"]\n  36 [size=\"55429120\", alpha=\"0.08\", expect_size=\"22171648\"] \n  36 -> 42 [size =\"22171648\"]\n  36 -> 43 [size =\"22171648\"]\n  36 -> 45 [size =\"22171648\"]\n  36 -> 47 [size =\"22171648\"]\n  36 -> 50 [size =\"22171648\"]\n  37 [size=\"49617920\", alpha=\"0.14\", expect_size=\"19847168\"] \n  37 -> 43 [size =\"19847168\"]\n  37 -> 43 [size =\"19847168\"]\n  37 -> 45 [size =\"19847168\"]\n  37 -> 48 [size =\"19847168\"]\n  37 -> 49 [size =\"19847168\"]\n  38 [size=\"101652480\", alpha=\"0.11\", expect_size=\"40660992\"] \n  38 -> 42 [size =\"40660992\"]\n  38 -> 43 [size =\"40660992\"]\n  38 -> 49 [size =\"40660992\"]\n  39 [size=\"14681600\", alpha=\"0.14\", expect_size=\"5872640\"] \n  39 -> 42 [size =\"5872640\"]\n  39 -> 44 [size =\"5872640\"]\n  40 [size=\"101880320\", alpha=\"0.01\", expect_size=\"40752128\"] \n  40 -> 43 [size =\"40752128\"]\n  40 -> 44 [size =\"40752128\"]\n  41 [size=\"118382080\", alpha=\"0.11\", expect_size=\"47352832\"] \n  41 -> 42 [size =\"47352832\"]\n  41 -> 45 [size =\"47352832\"]\n  41 -> 46 [size =\"47352832\"]\n  42 [size=\"85949440\", alpha=\"0.15\", expect_size=\"34379776\"] \n  43 [size=\"81431040\", alpha=\"0.13\", expect_size=\"32572416\"] \n  44 [size=\"75448320\", alpha=\"0.11\", expect_size=\"30179328\"] \n  45 [size=\"72673280\", alpha=\"0.12\", expect_size=\"29069312\"] \n  46 [size=\"99985920\", alpha=\"0.17\", expect_size=\"39994368\"] \n  47 [size=\"30620160\", alpha=\"0.18\", expect_size=\"12248064\"] \n  48 [size=\"113707520\", alpha=\"0.02\", expect_size=\"45483008\"] \n  49 [size=\"62110720\", alpha=\"0.01\", expect_size=\"24844288\"] \n  50 [size=\"29201920\", alpha=\"0.19\", expect_size=\"11680768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.576.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74757120\", alpha=\"0.14\", expect_size=\"29902848\"] \n  1 -> 8 [size =\"29902848\"]\n  1 -> 12 [size =\"29902848\"]\n  1 -> 13 [size =\"29902848\"]\n  2 [size=\"47854080\", alpha=\"0.17\", expect_size=\"19141632\"] \n  2 -> 9 [size =\"19141632\"]\n  2 -> 10 [size =\"19141632\"]\n  2 -> 12 [size =\"19141632\"]\n  2 -> 13 [size =\"19141632\"]\n  3 [size=\"70379520\", alpha=\"0.04\", expect_size=\"28151808\"] \n  3 -> 8 [size =\"28151808\"]\n  3 -> 11 [size =\"28151808\"]\n  3 -> 13 [size =\"28151808\"]\n  4 [size=\"32268800\", alpha=\"0.17\", expect_size=\"12907520\"] \n  4 -> 8 [size =\"12907520\"]\n  4 -> 10 [size =\"12907520\"]\n  4 -> 11 [size =\"12907520\"]\n  4 -> 12 [size =\"12907520\"]\n  4 -> 13 [size =\"12907520\"]\n  5 [size=\"96399360\", alpha=\"0.03\", expect_size=\"38559744\"] \n  5 -> 9 [size =\"38559744\"]\n  5 -> 10 [size =\"38559744\"]\n  5 -> 11 [size =\"38559744\"]\n  5 -> 12 [size =\"38559744\"]\n  6 [size=\"24880640\", alpha=\"0.07\", expect_size=\"9952256\"] \n  6 -> 9 [size =\"9952256\"]\n  6 -> 10 [size =\"9952256\"]\n  6 -> 11 [size =\"9952256\"]\n  6 -> 12 [size =\"9952256\"]\n  6 -> 13 [size =\"9952256\"]\n  7 [size=\"37752320\", alpha=\"0.01\", expect_size=\"15100928\"] \n  7 -> 9 [size =\"15100928\"]\n  7 -> 12 [size =\"15100928\"]\n  7 -> 13 [size =\"15100928\"]\n  8 [size=\"67379200\", alpha=\"0.10\", expect_size=\"26951680\"] \n  8 -> 14 [size =\"26951680\"]\n  8 -> 15 [size =\"26951680\"]\n  8 -> 16 [size =\"26951680\"]\n  8 -> 19 [size =\"26951680\"]\n  8 -> 20 [size =\"26951680\"]\n  9 [size=\"16371200\", alpha=\"0.10\", expect_size=\"6548480\"] \n  9 -> 14 [size =\"6548480\"]\n  9 -> 15 [size =\"6548480\"]\n  9 -> 16 [size =\"6548480\"]\n  9 -> 17 [size =\"6548480\"]\n  9 -> 19 [size =\"6548480\"]\n  9 -> 20 [size =\"6548480\"]\n  10 [size=\"52922880\", alpha=\"0.02\", expect_size=\"21169152\"] \n  10 -> 14 [size =\"21169152\"]\n  10 -> 15 [size =\"21169152\"]\n  10 -> 16 [size =\"21169152\"]\n  10 -> 17 [size =\"21169152\"]\n  10 -> 19 [size =\"21169152\"]\n  10 -> 20 [size =\"21169152\"]\n  11 [size=\"85250560\", alpha=\"0.10\", expect_size=\"34100224\"] \n  11 -> 14 [size =\"34100224\"]\n  11 -> 15 [size =\"34100224\"]\n  11 -> 16 [size =\"34100224\"]\n  11 -> 17 [size =\"34100224\"]\n  12 [size=\"52784640\", alpha=\"0.11\", expect_size=\"21113856\"] \n  12 -> 14 [size =\"21113856\"]\n  12 -> 15 [size =\"21113856\"]\n  12 -> 17 [size =\"21113856\"]\n  12 -> 17 [size =\"21113856\"]\n  12 -> 18 [size =\"21113856\"]\n  12 -> 20 [size =\"21113856\"]\n  13 [size=\"33021440\", alpha=\"0.05\", expect_size=\"13208576\"] \n  13 -> 14 [size =\"13208576\"]\n  13 -> 15 [size =\"13208576\"]\n  13 -> 17 [size =\"13208576\"]\n  13 -> 18 [size =\"13208576\"]\n  13 -> 19 [size =\"13208576\"]\n  14 [size=\"56629760\", alpha=\"0.17\", expect_size=\"22651904\"] \n  14 -> 21 [size =\"22651904\"]\n  14 -> 23 [size =\"22651904\"]\n  14 -> 24 [size =\"22651904\"]\n  14 -> 25 [size =\"22651904\"]\n  14 -> 26 [size =\"22651904\"]\n  15 [size=\"38141440\", alpha=\"0.06\", expect_size=\"15256576\"] \n  15 -> 22 [size =\"15256576\"]\n  15 -> 23 [size =\"15256576\"]\n  15 -> 26 [size =\"15256576\"]\n  16 [size=\"54945280\", alpha=\"0.01\", expect_size=\"21978112\"] \n  16 -> 21 [size =\"21978112\"]\n  16 -> 22 [size =\"21978112\"]\n  17 [size=\"97623040\", alpha=\"0.13\", expect_size=\"39049216\"] \n  17 -> 21 [size =\"39049216\"]\n  17 -> 22 [size =\"39049216\"]\n  17 -> 26 [size =\"39049216\"]\n  18 [size=\"105269760\", alpha=\"0.17\", expect_size=\"42107904\"] \n  18 -> 21 [size =\"42107904\"]\n  18 -> 22 [size =\"42107904\"]\n  18 -> 26 [size =\"42107904\"]\n  19 [size=\"44111360\", alpha=\"0.08\", expect_size=\"17644544\"] \n  19 -> 22 [size =\"17644544\"]\n  19 -> 23 [size =\"17644544\"]\n  19 -> 25 [size =\"17644544\"]\n  20 [size=\"101063680\", alpha=\"0.04\", expect_size=\"40425472\"] \n  20 -> 21 [size =\"40425472\"]\n  20 -> 22 [size =\"40425472\"]\n  20 -> 25 [size =\"40425472\"]\n  20 -> 26 [size =\"40425472\"]\n  21 [size=\"112972800\", alpha=\"0.11\", expect_size=\"45189120\"] \n  21 -> 27 [size =\"45189120\"]\n  21 -> 28 [size =\"45189120\"]\n  21 -> 30 [size =\"45189120\"]\n  22 [size=\"56135680\", alpha=\"0.04\", expect_size=\"22454272\"] \n  22 -> 27 [size =\"22454272\"]\n  22 -> 29 [size =\"22454272\"]\n  22 -> 30 [size =\"22454272\"]\n  23 [size=\"121525760\", alpha=\"0.06\", expect_size=\"48610304\"] \n  23 -> 27 [size =\"48610304\"]\n  23 -> 28 [size =\"48610304\"]\n  23 -> 30 [size =\"48610304\"]\n  24 [size=\"33704960\", alpha=\"0.12\", expect_size=\"13481984\"] \n  24 -> 27 [size =\"13481984\"]\n  24 -> 30 [size =\"13481984\"]\n  25 [size=\"16056320\", alpha=\"0.11\", expect_size=\"6422528\"] \n  25 -> 27 [size =\"6422528\"]\n  25 -> 29 [size =\"6422528\"]\n  25 -> 30 [size =\"6422528\"]\n  26 [size=\"53457920\", alpha=\"0.13\", expect_size=\"21383168\"] \n  26 -> 27 [size =\"21383168\"]\n  26 -> 29 [size =\"21383168\"]\n  26 -> 30 [size =\"21383168\"]\n  27 [size=\"59112960\", alpha=\"0.19\", expect_size=\"23645184\"] \n  27 -> 31 [size =\"23645184\"]\n  27 -> 32 [size =\"23645184\"]\n  27 -> 33 [size =\"23645184\"]\n  27 -> 34 [size =\"23645184\"]\n  27 -> 35 [size =\"23645184\"]\n  27 -> 36 [size =\"23645184\"]\n  28 [size=\"20044800\", alpha=\"0.14\", expect_size=\"8017920\"] \n  28 -> 31 [size =\"8017920\"]\n  28 -> 32 [size =\"8017920\"]\n  29 [size=\"120465920\", alpha=\"0.10\", expect_size=\"48186368\"] \n  29 -> 31 [size =\"48186368\"]\n  29 -> 32 [size =\"48186368\"]\n  29 -> 34 [size =\"48186368\"]\n  30 [size=\"49044480\", alpha=\"0.12\", expect_size=\"19617792\"] \n  30 -> 31 [size =\"19617792\"]\n  30 -> 32 [size =\"19617792\"]\n  30 -> 33 [size =\"19617792\"]\n  30 -> 34 [size =\"19617792\"]\n  30 -> 36 [size =\"19617792\"]\n  31 [size=\"73799680\", alpha=\"0.07\", expect_size=\"29519872\"] \n  31 -> 37 [size =\"29519872\"]\n  31 -> 39 [size =\"29519872\"]\n  31 -> 39 [size =\"29519872\"]\n  31 -> 41 [size =\"29519872\"]\n  32 [size=\"20451840\", alpha=\"0.08\", expect_size=\"8180736\"] \n  32 -> 37 [size =\"8180736\"]\n  32 -> 38 [size =\"8180736\"]\n  32 -> 39 [size =\"8180736\"]\n  32 -> 40 [size =\"8180736\"]\n  32 -> 41 [size =\"8180736\"]\n  33 [size=\"41712640\", alpha=\"0.13\", expect_size=\"16685056\"] \n  33 -> 37 [size =\"16685056\"]\n  33 -> 38 [size =\"16685056\"]\n  33 -> 39 [size =\"16685056\"]\n  33 -> 40 [size =\"16685056\"]\n  34 [size=\"76892160\", alpha=\"0.05\", expect_size=\"30756864\"] \n  34 -> 37 [size =\"30756864\"]\n  34 -> 38 [size =\"30756864\"]\n  34 -> 39 [size =\"30756864\"]\n  34 -> 41 [size =\"30756864\"]\n  35 [size=\"27189760\", alpha=\"0.01\", expect_size=\"10875904\"] \n  35 -> 37 [size =\"10875904\"]\n  35 -> 38 [size =\"10875904\"]\n  35 -> 40 [size =\"10875904\"]\n  35 -> 42 [size =\"10875904\"]\n  36 [size=\"93862400\", alpha=\"0.05\", expect_size=\"37544960\"] \n  36 -> 38 [size =\"37544960\"]\n  36 -> 38 [size =\"37544960\"]\n  36 -> 39 [size =\"37544960\"]\n  36 -> 40 [size =\"37544960\"]\n  36 -> 41 [size =\"37544960\"]\n  36 -> 42 [size =\"37544960\"]\n  37 [size=\"52756480\", alpha=\"0.03\", expect_size=\"21102592\"] \n  37 -> 43 [size =\"21102592\"]\n  37 -> 44 [size =\"21102592\"]\n  37 -> 46 [size =\"21102592\"]\n  37 -> 47 [size =\"21102592\"]\n  37 -> 48 [size =\"21102592\"]\n  38 [size=\"46481920\", alpha=\"0.16\", expect_size=\"18592768\"] \n  38 -> 45 [size =\"18592768\"]\n  38 -> 46 [size =\"18592768\"]\n  38 -> 47 [size =\"18592768\"]\n  38 -> 48 [size =\"18592768\"]\n  39 [size=\"129310720\", alpha=\"0.15\", expect_size=\"51724288\"] \n  39 -> 43 [size =\"51724288\"]\n  39 -> 46 [size =\"51724288\"]\n  39 -> 47 [size =\"51724288\"]\n  39 -> 48 [size =\"51724288\"]\n  40 [size=\"68582400\", alpha=\"0.08\", expect_size=\"27432960\"] \n  40 -> 43 [size =\"27432960\"]\n  40 -> 46 [size =\"27432960\"]\n  40 -> 47 [size =\"27432960\"]\n  40 -> 48 [size =\"27432960\"]\n  40 -> 49 [size =\"27432960\"]\n  41 [size=\"22077440\", alpha=\"0.19\", expect_size=\"8830976\"] \n  41 -> 43 [size =\"8830976\"]\n  41 -> 44 [size =\"8830976\"]\n  41 -> 45 [size =\"8830976\"]\n  41 -> 47 [size =\"8830976\"]\n  41 -> 48 [size =\"8830976\"]\n  42 [size=\"61936640\", alpha=\"0.17\", expect_size=\"24774656\"] \n  42 -> 43 [size =\"24774656\"]\n  42 -> 44 [size =\"24774656\"]\n  42 -> 45 [size =\"24774656\"]\n  42 -> 47 [size =\"24774656\"]\n  42 -> 48 [size =\"24774656\"]\n  43 [size=\"109880320\", alpha=\"0.13\", expect_size=\"43952128\"] \n  43 -> 50 [size =\"43952128\"]\n  44 [size=\"67852800\", alpha=\"0.13\", expect_size=\"27141120\"] \n  44 -> 50 [size =\"27141120\"]\n  45 [size=\"97346560\", alpha=\"0.13\", expect_size=\"38938624\"] \n  45 -> 50 [size =\"38938624\"]\n  46 [size=\"105431040\", alpha=\"0.20\", expect_size=\"42172416\"] \n  47 [size=\"15979520\", alpha=\"0.15\", expect_size=\"6391808\"] \n  47 -> 50 [size =\"6391808\"]\n  48 [size=\"31472640\", alpha=\"0.11\", expect_size=\"12589056\"] \n  48 -> 50 [size =\"12589056\"]\n  49 [size=\"126113280\", alpha=\"0.05\", expect_size=\"50445312\"] \n  50 [size=\"94976000\", alpha=\"0.05\", expect_size=\"37990400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.577.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108835840\", alpha=\"0.17\", expect_size=\"43534336\"] \n  1 -> 17 [size =\"43534336\"]\n  1 -> 23 [size =\"43534336\"]\n  1 -> 25 [size =\"43534336\"]\n  1 -> 26 [size =\"43534336\"]\n  2 [size=\"14615040\", alpha=\"0.16\", expect_size=\"5846016\"] \n  2 -> 20 [size =\"5846016\"]\n  2 -> 23 [size =\"5846016\"]\n  2 -> 31 [size =\"5846016\"]\n  3 [size=\"125959680\", alpha=\"0.10\", expect_size=\"50383872\"] \n  3 -> 18 [size =\"50383872\"]\n  3 -> 19 [size =\"50383872\"]\n  3 -> 20 [size =\"50383872\"]\n  3 -> 27 [size =\"50383872\"]\n  3 -> 30 [size =\"50383872\"]\n  4 [size=\"96174080\", alpha=\"0.07\", expect_size=\"38469632\"] \n  4 -> 17 [size =\"38469632\"]\n  4 -> 18 [size =\"38469632\"]\n  4 -> 20 [size =\"38469632\"]\n  4 -> 24 [size =\"38469632\"]\n  4 -> 32 [size =\"38469632\"]\n  5 [size=\"43863040\", alpha=\"0.05\", expect_size=\"17545216\"] \n  5 -> 20 [size =\"17545216\"]\n  5 -> 26 [size =\"17545216\"]\n  5 -> 28 [size =\"17545216\"]\n  5 -> 30 [size =\"17545216\"]\n  5 -> 31 [size =\"17545216\"]\n  5 -> 32 [size =\"17545216\"]\n  6 [size=\"24576000\", alpha=\"0.13\", expect_size=\"9830400\"] \n  6 -> 19 [size =\"9830400\"]\n  6 -> 21 [size =\"9830400\"]\n  6 -> 24 [size =\"9830400\"]\n  6 -> 25 [size =\"9830400\"]\n  6 -> 26 [size =\"9830400\"]\n  6 -> 31 [size =\"9830400\"]\n  7 [size=\"24250880\", alpha=\"0.16\", expect_size=\"9700352\"] \n  7 -> 17 [size =\"9700352\"]\n  7 -> 22 [size =\"9700352\"]\n  7 -> 24 [size =\"9700352\"]\n  7 -> 25 [size =\"9700352\"]\n  7 -> 27 [size =\"9700352\"]\n  7 -> 31 [size =\"9700352\"]\n  8 [size=\"35632640\", alpha=\"0.16\", expect_size=\"14253056\"] \n  8 -> 17 [size =\"14253056\"]\n  8 -> 18 [size =\"14253056\"]\n  8 -> 24 [size =\"14253056\"]\n  8 -> 25 [size =\"14253056\"]\n  8 -> 32 [size =\"14253056\"]\n  9 [size=\"63104000\", alpha=\"0.17\", expect_size=\"25241600\"] \n  9 -> 30 [size =\"25241600\"]\n  9 -> 31 [size =\"25241600\"]\n  9 -> 32 [size =\"25241600\"]\n  10 [size=\"20669440\", alpha=\"0.06\", expect_size=\"8267776\"] \n  10 -> 24 [size =\"8267776\"]\n  11 [size=\"59048960\", alpha=\"0.16\", expect_size=\"23619584\"] \n  11 -> 19 [size =\"23619584\"]\n  11 -> 20 [size =\"23619584\"]\n  11 -> 23 [size =\"23619584\"]\n  11 -> 24 [size =\"23619584\"]\n  11 -> 26 [size =\"23619584\"]\n  11 -> 31 [size =\"23619584\"]\n  11 -> 32 [size =\"23619584\"]\n  12 [size=\"42524160\", alpha=\"0.20\", expect_size=\"17009664\"] \n  12 -> 17 [size =\"17009664\"]\n  12 -> 23 [size =\"17009664\"]\n  12 -> 30 [size =\"17009664\"]\n  12 -> 31 [size =\"17009664\"]\n  12 -> 32 [size =\"17009664\"]\n  13 [size=\"16852480\", alpha=\"0.04\", expect_size=\"6740992\"] \n  13 -> 17 [size =\"6740992\"]\n  13 -> 18 [size =\"6740992\"]\n  13 -> 19 [size =\"6740992\"]\n  13 -> 25 [size =\"6740992\"]\n  13 -> 28 [size =\"6740992\"]\n  14 [size=\"76469760\", alpha=\"0.11\", expect_size=\"30587904\"] \n  14 -> 20 [size =\"30587904\"]\n  14 -> 23 [size =\"30587904\"]\n  14 -> 24 [size =\"30587904\"]\n  14 -> 29 [size =\"30587904\"]\n  14 -> 31 [size =\"30587904\"]\n  14 -> 32 [size =\"30587904\"]\n  15 [size=\"120435200\", alpha=\"0.01\", expect_size=\"48174080\"] \n  15 -> 19 [size =\"48174080\"]\n  15 -> 23 [size =\"48174080\"]\n  16 [size=\"32232960\", alpha=\"0.02\", expect_size=\"12893184\"] \n  16 -> 24 [size =\"12893184\"]\n  17 [size=\"106708480\", alpha=\"0.18\", expect_size=\"42683392\"] \n  17 -> 33 [size =\"42683392\"]\n  17 -> 35 [size =\"42683392\"]\n  17 -> 42 [size =\"42683392\"]\n  17 -> 45 [size =\"42683392\"]\n  18 [size=\"83599360\", alpha=\"0.08\", expect_size=\"33439744\"] \n  18 -> 34 [size =\"33439744\"]\n  18 -> 35 [size =\"33439744\"]\n  18 -> 42 [size =\"33439744\"]\n  18 -> 43 [size =\"33439744\"]\n  18 -> 44 [size =\"33439744\"]\n  18 -> 45 [size =\"33439744\"]\n  19 [size=\"61726720\", alpha=\"0.09\", expect_size=\"24690688\"] \n  19 -> 35 [size =\"24690688\"]\n  19 -> 37 [size =\"24690688\"]\n  19 -> 40 [size =\"24690688\"]\n  19 -> 46 [size =\"24690688\"]\n  20 [size=\"41891840\", alpha=\"0.03\", expect_size=\"16756736\"] \n  20 -> 35 [size =\"16756736\"]\n  20 -> 38 [size =\"16756736\"]\n  20 -> 39 [size =\"16756736\"]\n  21 [size=\"78814720\", alpha=\"0.14\", expect_size=\"31525888\"] \n  21 -> 35 [size =\"31525888\"]\n  21 -> 43 [size =\"31525888\"]\n  21 -> 45 [size =\"31525888\"]\n  22 [size=\"54312960\", alpha=\"0.04\", expect_size=\"21725184\"] \n  22 -> 33 [size =\"21725184\"]\n  22 -> 38 [size =\"21725184\"]\n  22 -> 39 [size =\"21725184\"]\n  23 [size=\"53317120\", alpha=\"0.14\", expect_size=\"21326848\"] \n  23 -> 35 [size =\"21326848\"]\n  23 -> 41 [size =\"21326848\"]\n  23 -> 45 [size =\"21326848\"]\n  24 [size=\"78423040\", alpha=\"0.18\", expect_size=\"31369216\"] \n  24 -> 34 [size =\"31369216\"]\n  24 -> 39 [size =\"31369216\"]\n  24 -> 41 [size =\"31369216\"]\n  24 -> 46 [size =\"31369216\"]\n  25 [size=\"23385600\", alpha=\"0.07\", expect_size=\"9354240\"] \n  25 -> 38 [size =\"9354240\"]\n  25 -> 41 [size =\"9354240\"]\n  25 -> 46 [size =\"9354240\"]\n  26 [size=\"28436480\", alpha=\"0.18\", expect_size=\"11374592\"] \n  26 -> 33 [size =\"11374592\"]\n  26 -> 36 [size =\"11374592\"]\n  26 -> 38 [size =\"11374592\"]\n  26 -> 39 [size =\"11374592\"]\n  26 -> 40 [size =\"11374592\"]\n  26 -> 41 [size =\"11374592\"]\n  26 -> 44 [size =\"11374592\"]\n  26 -> 45 [size =\"11374592\"]\n  27 [size=\"42969600\", alpha=\"0.11\", expect_size=\"17187840\"] \n  27 -> 38 [size =\"17187840\"]\n  27 -> 42 [size =\"17187840\"]\n  27 -> 43 [size =\"17187840\"]\n  27 -> 44 [size =\"17187840\"]\n  27 -> 45 [size =\"17187840\"]\n  28 [size=\"31572480\", alpha=\"0.07\", expect_size=\"12628992\"] \n  28 -> 43 [size =\"12628992\"]\n  29 [size=\"81589760\", alpha=\"0.12\", expect_size=\"32635904\"] \n  29 -> 35 [size =\"32635904\"]\n  29 -> 44 [size =\"32635904\"]\n  30 [size=\"18580480\", alpha=\"0.19\", expect_size=\"7432192\"] \n  30 -> 41 [size =\"7432192\"]\n  30 -> 45 [size =\"7432192\"]\n  31 [size=\"38725120\", alpha=\"0.13\", expect_size=\"15490048\"] \n  31 -> 38 [size =\"15490048\"]\n  32 [size=\"119790080\", alpha=\"0.12\", expect_size=\"47916032\"] \n  32 -> 35 [size =\"47916032\"]\n  32 -> 45 [size =\"47916032\"]\n  33 [size=\"27351040\", alpha=\"0.12\", expect_size=\"10940416\"] \n  33 -> 49 [size =\"10940416\"]\n  34 [size=\"110192640\", alpha=\"0.03\", expect_size=\"44077056\"] \n  34 -> 50 [size =\"44077056\"]\n  35 [size=\"97492480\", alpha=\"0.12\", expect_size=\"38996992\"] \n  35 -> 47 [size =\"38996992\"]\n  35 -> 48 [size =\"38996992\"]\n  36 [size=\"20003840\", alpha=\"0.04\", expect_size=\"8001536\"] \n  37 [size=\"125125120\", alpha=\"0.11\", expect_size=\"50050048\"] \n  37 -> 48 [size =\"50050048\"]\n  37 -> 50 [size =\"50050048\"]\n  38 [size=\"70108160\", alpha=\"0.11\", expect_size=\"28043264\"] \n  38 -> 49 [size =\"28043264\"]\n  39 [size=\"113410560\", alpha=\"0.19\", expect_size=\"45364224\"] \n  40 [size=\"69096960\", alpha=\"0.12\", expect_size=\"27638784\"] \n  41 [size=\"62699520\", alpha=\"0.16\", expect_size=\"25079808\"] \n  42 [size=\"22192640\", alpha=\"0.08\", expect_size=\"8877056\"] \n  42 -> 50 [size =\"8877056\"]\n  43 [size=\"94963200\", alpha=\"0.05\", expect_size=\"37985280\"] \n  43 -> 50 [size =\"37985280\"]\n  44 [size=\"48826880\", alpha=\"0.14\", expect_size=\"19530752\"] \n  44 -> 48 [size =\"19530752\"]\n  44 -> 49 [size =\"19530752\"]\n  45 [size=\"65113600\", alpha=\"0.05\", expect_size=\"26045440\"] \n  46 [size=\"15219200\", alpha=\"0.19\", expect_size=\"6087680\"] \n  46 -> 50 [size =\"6087680\"]\n  47 [size=\"36239360\", alpha=\"0.17\", expect_size=\"14495744\"] \n  48 [size=\"103810560\", alpha=\"0.18\", expect_size=\"41524224\"] \n  49 [size=\"52497920\", alpha=\"0.12\", expect_size=\"20999168\"] \n  50 [size=\"48885760\", alpha=\"0.06\", expect_size=\"19554304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.578.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49428480\", alpha=\"0.09\", expect_size=\"19771392\"] \n  1 -> 9 [size =\"19771392\"]\n  2 [size=\"77053440\", alpha=\"0.16\", expect_size=\"30821376\"] \n  2 -> 7 [size =\"30821376\"]\n  2 -> 9 [size =\"30821376\"]\n  2 -> 11 [size =\"30821376\"]\n  2 -> 13 [size =\"30821376\"]\n  3 [size=\"107479040\", alpha=\"0.02\", expect_size=\"42991616\"] \n  3 -> 10 [size =\"42991616\"]\n  3 -> 11 [size =\"42991616\"]\n  3 -> 12 [size =\"42991616\"]\n  3 -> 13 [size =\"42991616\"]\n  4 [size=\"17008640\", alpha=\"0.18\", expect_size=\"6803456\"] \n  4 -> 8 [size =\"6803456\"]\n  4 -> 9 [size =\"6803456\"]\n  4 -> 11 [size =\"6803456\"]\n  4 -> 13 [size =\"6803456\"]\n  5 [size=\"97943040\", alpha=\"0.10\", expect_size=\"39177216\"] \n  5 -> 9 [size =\"39177216\"]\n  5 -> 9 [size =\"39177216\"]\n  5 -> 11 [size =\"39177216\"]\n  6 [size=\"14891520\", alpha=\"0.13\", expect_size=\"5956608\"] \n  6 -> 8 [size =\"5956608\"]\n  6 -> 10 [size =\"5956608\"]\n  6 -> 11 [size =\"5956608\"]\n  6 -> 13 [size =\"5956608\"]\n  7 [size=\"122967040\", alpha=\"0.02\", expect_size=\"49186816\"] \n  7 -> 16 [size =\"49186816\"]\n  8 [size=\"90839040\", alpha=\"0.09\", expect_size=\"36335616\"] \n  8 -> 14 [size =\"36335616\"]\n  8 -> 15 [size =\"36335616\"]\n  9 [size=\"89331200\", alpha=\"0.19\", expect_size=\"35732480\"] \n  9 -> 15 [size =\"35732480\"]\n  9 -> 16 [size =\"35732480\"]\n  10 [size=\"110259200\", alpha=\"0.10\", expect_size=\"44103680\"] \n  10 -> 19 [size =\"44103680\"]\n  11 [size=\"122112000\", alpha=\"0.09\", expect_size=\"48844800\"] \n  11 -> 16 [size =\"48844800\"]\n  11 -> 17 [size =\"48844800\"]\n  11 -> 18 [size =\"48844800\"]\n  12 [size=\"59950080\", alpha=\"0.05\", expect_size=\"23980032\"] \n  12 -> 16 [size =\"23980032\"]\n  12 -> 17 [size =\"23980032\"]\n  12 -> 18 [size =\"23980032\"]\n  12 -> 19 [size =\"23980032\"]\n  13 [size=\"36958720\", alpha=\"0.11\", expect_size=\"14783488\"] \n  13 -> 15 [size =\"14783488\"]\n  13 -> 16 [size =\"14783488\"]\n  13 -> 19 [size =\"14783488\"]\n  14 [size=\"51258880\", alpha=\"0.04\", expect_size=\"20503552\"] \n  14 -> 21 [size =\"20503552\"]\n  14 -> 25 [size =\"20503552\"]\n  15 [size=\"41607680\", alpha=\"0.19\", expect_size=\"16643072\"] \n  15 -> 20 [size =\"16643072\"]\n  15 -> 21 [size =\"16643072\"]\n  15 -> 23 [size =\"16643072\"]\n  15 -> 24 [size =\"16643072\"]\n  15 -> 25 [size =\"16643072\"]\n  16 [size=\"100295680\", alpha=\"0.14\", expect_size=\"40118272\"] \n  16 -> 20 [size =\"40118272\"]\n  16 -> 21 [size =\"40118272\"]\n  16 -> 24 [size =\"40118272\"]\n  17 [size=\"58670080\", alpha=\"0.08\", expect_size=\"23468032\"] \n  17 -> 20 [size =\"23468032\"]\n  17 -> 21 [size =\"23468032\"]\n  17 -> 22 [size =\"23468032\"]\n  17 -> 24 [size =\"23468032\"]\n  18 [size=\"71260160\", alpha=\"0.10\", expect_size=\"28504064\"] \n  18 -> 20 [size =\"28504064\"]\n  18 -> 24 [size =\"28504064\"]\n  19 [size=\"126005760\", alpha=\"0.12\", expect_size=\"50402304\"] \n  19 -> 20 [size =\"50402304\"]\n  19 -> 24 [size =\"50402304\"]\n  19 -> 25 [size =\"50402304\"]\n  20 [size=\"117752320\", alpha=\"0.04\", expect_size=\"47100928\"] \n  20 -> 26 [size =\"47100928\"]\n  20 -> 27 [size =\"47100928\"]\n  20 -> 31 [size =\"47100928\"]\n  21 [size=\"60244480\", alpha=\"0.01\", expect_size=\"24097792\"] \n  21 -> 26 [size =\"24097792\"]\n  21 -> 27 [size =\"24097792\"]\n  21 -> 30 [size =\"24097792\"]\n  22 [size=\"115074560\", alpha=\"0.10\", expect_size=\"46029824\"] \n  22 -> 26 [size =\"46029824\"]\n  22 -> 27 [size =\"46029824\"]\n  22 -> 30 [size =\"46029824\"]\n  22 -> 31 [size =\"46029824\"]\n  23 [size=\"29355520\", alpha=\"0.14\", expect_size=\"11742208\"] \n  23 -> 26 [size =\"11742208\"]\n  23 -> 27 [size =\"11742208\"]\n  23 -> 28 [size =\"11742208\"]\n  23 -> 29 [size =\"11742208\"]\n  23 -> 30 [size =\"11742208\"]\n  23 -> 31 [size =\"11742208\"]\n  24 [size=\"96115200\", alpha=\"0.19\", expect_size=\"38446080\"] \n  24 -> 27 [size =\"38446080\"]\n  24 -> 28 [size =\"38446080\"]\n  24 -> 28 [size =\"38446080\"]\n  24 -> 30 [size =\"38446080\"]\n  25 [size=\"120322560\", alpha=\"0.18\", expect_size=\"48129024\"] \n  25 -> 26 [size =\"48129024\"]\n  25 -> 27 [size =\"48129024\"]\n  25 -> 29 [size =\"48129024\"]\n  26 [size=\"113881600\", alpha=\"0.18\", expect_size=\"45552640\"] \n  26 -> 32 [size =\"45552640\"]\n  26 -> 36 [size =\"45552640\"]\n  27 [size=\"79523840\", alpha=\"0.16\", expect_size=\"31809536\"] \n  27 -> 32 [size =\"31809536\"]\n  27 -> 35 [size =\"31809536\"]\n  28 [size=\"128340480\", alpha=\"0.08\", expect_size=\"51336192\"] \n  28 -> 32 [size =\"51336192\"]\n  28 -> 36 [size =\"51336192\"]\n  29 [size=\"66567680\", alpha=\"0.12\", expect_size=\"26627072\"] \n  29 -> 32 [size =\"26627072\"]\n  29 -> 33 [size =\"26627072\"]\n  29 -> 36 [size =\"26627072\"]\n  30 [size=\"22213120\", alpha=\"0.13\", expect_size=\"8885248\"] \n  30 -> 32 [size =\"8885248\"]\n  30 -> 36 [size =\"8885248\"]\n  30 -> 37 [size =\"8885248\"]\n  31 [size=\"44730880\", alpha=\"0.13\", expect_size=\"17892352\"] \n  31 -> 32 [size =\"17892352\"]\n  31 -> 34 [size =\"17892352\"]\n  32 [size=\"52472320\", alpha=\"0.20\", expect_size=\"20988928\"] \n  32 -> 38 [size =\"20988928\"]\n  33 [size=\"109391360\", alpha=\"0.11\", expect_size=\"43756544\"] \n  33 -> 41 [size =\"43756544\"]\n  33 -> 42 [size =\"43756544\"]\n  34 [size=\"73927680\", alpha=\"0.09\", expect_size=\"29571072\"] \n  34 -> 39 [size =\"29571072\"]\n  34 -> 41 [size =\"29571072\"]\n  34 -> 42 [size =\"29571072\"]\n  34 -> 43 [size =\"29571072\"]\n  35 [size=\"67952640\", alpha=\"0.12\", expect_size=\"27181056\"] \n  35 -> 39 [size =\"27181056\"]\n  35 -> 41 [size =\"27181056\"]\n  35 -> 44 [size =\"27181056\"]\n  36 [size=\"58334720\", alpha=\"0.09\", expect_size=\"23333888\"] \n  36 -> 39 [size =\"23333888\"]\n  36 -> 42 [size =\"23333888\"]\n  36 -> 43 [size =\"23333888\"]\n  36 -> 44 [size =\"23333888\"]\n  37 [size=\"46865920\", alpha=\"0.14\", expect_size=\"18746368\"] \n  37 -> 38 [size =\"18746368\"]\n  37 -> 40 [size =\"18746368\"]\n  37 -> 43 [size =\"18746368\"]\n  37 -> 44 [size =\"18746368\"]\n  38 [size=\"25438720\", alpha=\"0.09\", expect_size=\"10175488\"] \n  38 -> 49 [size =\"10175488\"]\n  38 -> 50 [size =\"10175488\"]\n  39 [size=\"71790080\", alpha=\"0.03\", expect_size=\"28716032\"] \n  39 -> 45 [size =\"28716032\"]\n  39 -> 47 [size =\"28716032\"]\n  39 -> 48 [size =\"28716032\"]\n  39 -> 49 [size =\"28716032\"]\n  39 -> 50 [size =\"28716032\"]\n  40 [size=\"26214400\", alpha=\"0.15\", expect_size=\"10485760\"] \n  40 -> 45 [size =\"10485760\"]\n  40 -> 49 [size =\"10485760\"]\n  40 -> 50 [size =\"10485760\"]\n  41 [size=\"103828480\", alpha=\"0.15\", expect_size=\"41531392\"] \n  41 -> 45 [size =\"41531392\"]\n  41 -> 46 [size =\"41531392\"]\n  41 -> 47 [size =\"41531392\"]\n  41 -> 50 [size =\"41531392\"]\n  42 [size=\"59745280\", alpha=\"0.12\", expect_size=\"23898112\"] \n  42 -> 45 [size =\"23898112\"]\n  42 -> 47 [size =\"23898112\"]\n  42 -> 48 [size =\"23898112\"]\n  42 -> 50 [size =\"23898112\"]\n  43 [size=\"58772480\", alpha=\"0.12\", expect_size=\"23508992\"] \n  43 -> 47 [size =\"23508992\"]\n  43 -> 48 [size =\"23508992\"]\n  43 -> 48 [size =\"23508992\"]\n  43 -> 49 [size =\"23508992\"]\n  44 [size=\"124761600\", alpha=\"0.06\", expect_size=\"49904640\"] \n  44 -> 45 [size =\"49904640\"]\n  44 -> 46 [size =\"49904640\"]\n  44 -> 47 [size =\"49904640\"]\n  44 -> 49 [size =\"49904640\"]\n  45 [size=\"59934720\", alpha=\"0.19\", expect_size=\"23973888\"] \n  46 [size=\"128727040\", alpha=\"0.08\", expect_size=\"51490816\"] \n  47 [size=\"64432640\", alpha=\"0.08\", expect_size=\"25773056\"] \n  48 [size=\"30576640\", alpha=\"0.08\", expect_size=\"12230656\"] \n  49 [size=\"85317120\", alpha=\"0.18\", expect_size=\"34126848\"] \n  50 [size=\"105620480\", alpha=\"0.08\", expect_size=\"42248192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.579.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75061248\", alpha=\"0.02\", expect_size=\"37530624\"] \n  1 -> 4 [size =\"37530624\"]\n  1 -> 6 [size =\"37530624\"]\n  1 -> 8 [size =\"37530624\"]\n  2 [size=\"56199168\", alpha=\"0.12\", expect_size=\"28099584\"] \n  2 -> 7 [size =\"28099584\"]\n  2 -> 10 [size =\"28099584\"]\n  2 -> 11 [size =\"28099584\"]\n  2 -> 12 [size =\"28099584\"]\n  3 [size=\"95369216\", alpha=\"0.04\", expect_size=\"47684608\"] \n  3 -> 5 [size =\"47684608\"]\n  3 -> 6 [size =\"47684608\"]\n  3 -> 7 [size =\"47684608\"]\n  3 -> 8 [size =\"47684608\"]\n  3 -> 9 [size =\"47684608\"]\n  3 -> 10 [size =\"47684608\"]\n  3 -> 11 [size =\"47684608\"]\n  4 [size=\"55160832\", alpha=\"0.00\", expect_size=\"27580416\"] \n  4 -> 13 [size =\"27580416\"]\n  4 -> 14 [size =\"27580416\"]\n  4 -> 18 [size =\"27580416\"]\n  4 -> 20 [size =\"27580416\"]\n  5 [size=\"79247360\", alpha=\"0.17\", expect_size=\"39623680\"] \n  5 -> 14 [size =\"39623680\"]\n  5 -> 18 [size =\"39623680\"]\n  5 -> 20 [size =\"39623680\"]\n  6 [size=\"47030272\", alpha=\"0.14\", expect_size=\"23515136\"] \n  6 -> 16 [size =\"23515136\"]\n  6 -> 18 [size =\"23515136\"]\n  6 -> 19 [size =\"23515136\"]\n  6 -> 20 [size =\"23515136\"]\n  7 [size=\"18675712\", alpha=\"0.02\", expect_size=\"9337856\"] \n  7 -> 15 [size =\"9337856\"]\n  7 -> 18 [size =\"9337856\"]\n  7 -> 20 [size =\"9337856\"]\n  8 [size=\"35889152\", alpha=\"0.15\", expect_size=\"17944576\"] \n  9 [size=\"42475520\", alpha=\"0.09\", expect_size=\"21237760\"] \n  9 -> 14 [size =\"21237760\"]\n  9 -> 15 [size =\"21237760\"]\n  9 -> 18 [size =\"21237760\"]\n  10 [size=\"99203072\", alpha=\"0.06\", expect_size=\"49601536\"] \n  10 -> 16 [size =\"49601536\"]\n  10 -> 17 [size =\"49601536\"]\n  10 -> 18 [size =\"49601536\"]\n  11 [size=\"80193536\", alpha=\"0.15\", expect_size=\"40096768\"] \n  11 -> 13 [size =\"40096768\"]\n  11 -> 14 [size =\"40096768\"]\n  11 -> 15 [size =\"40096768\"]\n  11 -> 16 [size =\"40096768\"]\n  11 -> 19 [size =\"40096768\"]\n  12 [size=\"91021312\", alpha=\"0.12\", expect_size=\"45510656\"] \n  12 -> 14 [size =\"45510656\"]\n  12 -> 16 [size =\"45510656\"]\n  12 -> 19 [size =\"45510656\"]\n  12 -> 20 [size =\"45510656\"]\n  13 [size=\"53571584\", alpha=\"0.17\", expect_size=\"26785792\"] \n  13 -> 21 [size =\"26785792\"]\n  13 -> 22 [size =\"26785792\"]\n  13 -> 25 [size =\"26785792\"]\n  13 -> 26 [size =\"26785792\"]\n  14 [size=\"72681472\", alpha=\"0.18\", expect_size=\"36340736\"] \n  14 -> 23 [size =\"36340736\"]\n  14 -> 25 [size =\"36340736\"]\n  14 -> 27 [size =\"36340736\"]\n  15 [size=\"74090496\", alpha=\"0.05\", expect_size=\"37045248\"] \n  15 -> 21 [size =\"37045248\"]\n  15 -> 24 [size =\"37045248\"]\n  16 [size=\"58628096\", alpha=\"0.10\", expect_size=\"29314048\"] \n  16 -> 23 [size =\"29314048\"]\n  16 -> 24 [size =\"29314048\"]\n  16 -> 25 [size =\"29314048\"]\n  16 -> 27 [size =\"29314048\"]\n  17 [size=\"31072256\", alpha=\"0.07\", expect_size=\"15536128\"] \n  17 -> 21 [size =\"15536128\"]\n  17 -> 23 [size =\"15536128\"]\n  18 [size=\"38539264\", alpha=\"0.02\", expect_size=\"19269632\"] \n  19 [size=\"17278976\", alpha=\"0.14\", expect_size=\"8639488\"] \n  19 -> 21 [size =\"8639488\"]\n  19 -> 23 [size =\"8639488\"]\n  19 -> 25 [size =\"8639488\"]\n  19 -> 27 [size =\"8639488\"]\n  20 [size=\"60844032\", alpha=\"0.16\", expect_size=\"30422016\"] \n  20 -> 23 [size =\"30422016\"]\n  20 -> 25 [size =\"30422016\"]\n  20 -> 26 [size =\"30422016\"]\n  20 -> 27 [size =\"30422016\"]\n  21 [size=\"90884096\", alpha=\"0.12\", expect_size=\"45442048\"] \n  21 -> 29 [size =\"45442048\"]\n  21 -> 32 [size =\"45442048\"]\n  21 -> 34 [size =\"45442048\"]\n  22 [size=\"65609728\", alpha=\"0.18\", expect_size=\"32804864\"] \n  22 -> 30 [size =\"32804864\"]\n  22 -> 32 [size =\"32804864\"]\n  22 -> 33 [size =\"32804864\"]\n  23 [size=\"27113472\", alpha=\"0.02\", expect_size=\"13556736\"] \n  23 -> 29 [size =\"13556736\"]\n  23 -> 31 [size =\"13556736\"]\n  23 -> 32 [size =\"13556736\"]\n  24 [size=\"14659584\", alpha=\"0.15\", expect_size=\"7329792\"] \n  24 -> 28 [size =\"7329792\"]\n  24 -> 31 [size =\"7329792\"]\n  24 -> 34 [size =\"7329792\"]\n  25 [size=\"101568512\", alpha=\"0.03\", expect_size=\"50784256\"] \n  25 -> 31 [size =\"50784256\"]\n  25 -> 31 [size =\"50784256\"]\n  25 -> 32 [size =\"50784256\"]\n  26 [size=\"33073152\", alpha=\"0.18\", expect_size=\"16536576\"] \n  26 -> 29 [size =\"16536576\"]\n  26 -> 32 [size =\"16536576\"]\n  27 [size=\"82022400\", alpha=\"0.15\", expect_size=\"41011200\"] \n  27 -> 30 [size =\"41011200\"]\n  28 [size=\"21041152\", alpha=\"0.18\", expect_size=\"10520576\"] \n  28 -> 36 [size =\"10520576\"]\n  28 -> 41 [size =\"10520576\"]\n  29 [size=\"32487424\", alpha=\"0.07\", expect_size=\"16243712\"] \n  29 -> 37 [size =\"16243712\"]\n  29 -> 40 [size =\"16243712\"]\n  29 -> 42 [size =\"16243712\"]\n  29 -> 43 [size =\"16243712\"]\n  30 [size=\"98351104\", alpha=\"0.16\", expect_size=\"49175552\"] \n  30 -> 35 [size =\"49175552\"]\n  30 -> 39 [size =\"49175552\"]\n  30 -> 42 [size =\"49175552\"]\n  30 -> 43 [size =\"49175552\"]\n  31 [size=\"80879616\", alpha=\"0.19\", expect_size=\"40439808\"] \n  31 -> 38 [size =\"40439808\"]\n  31 -> 41 [size =\"40439808\"]\n  31 -> 42 [size =\"40439808\"]\n  32 [size=\"44648448\", alpha=\"0.19\", expect_size=\"22324224\"] \n  32 -> 38 [size =\"22324224\"]\n  32 -> 40 [size =\"22324224\"]\n  32 -> 43 [size =\"22324224\"]\n  33 [size=\"35371008\", alpha=\"0.08\", expect_size=\"17685504\"] \n  33 -> 37 [size =\"17685504\"]\n  33 -> 38 [size =\"17685504\"]\n  33 -> 43 [size =\"17685504\"]\n  34 [size=\"43563008\", alpha=\"0.10\", expect_size=\"21781504\"] \n  34 -> 38 [size =\"21781504\"]\n  35 [size=\"19523584\", alpha=\"0.06\", expect_size=\"9761792\"] \n  35 -> 45 [size =\"9761792\"]\n  35 -> 47 [size =\"9761792\"]\n  36 [size=\"32020480\", alpha=\"0.12\", expect_size=\"16010240\"] \n  36 -> 45 [size =\"16010240\"]\n  36 -> 48 [size =\"16010240\"]\n  36 -> 50 [size =\"16010240\"]\n  37 [size=\"23224320\", alpha=\"0.02\", expect_size=\"11612160\"] \n  37 -> 48 [size =\"11612160\"]\n  38 [size=\"95700992\", alpha=\"0.19\", expect_size=\"47850496\"] \n  38 -> 47 [size =\"47850496\"]\n  38 -> 48 [size =\"47850496\"]\n  38 -> 49 [size =\"47850496\"]\n  38 -> 50 [size =\"47850496\"]\n  39 [size=\"86108160\", alpha=\"0.16\", expect_size=\"43054080\"] \n  39 -> 44 [size =\"43054080\"]\n  39 -> 45 [size =\"43054080\"]\n  39 -> 50 [size =\"43054080\"]\n  40 [size=\"26439680\", alpha=\"0.05\", expect_size=\"13219840\"] \n  40 -> 44 [size =\"13219840\"]\n  40 -> 45 [size =\"13219840\"]\n  40 -> 46 [size =\"13219840\"]\n  40 -> 47 [size =\"13219840\"]\n  40 -> 48 [size =\"13219840\"]\n  40 -> 49 [size =\"13219840\"]\n  40 -> 50 [size =\"13219840\"]\n  41 [size=\"99780608\", alpha=\"0.10\", expect_size=\"49890304\"] \n  41 -> 45 [size =\"49890304\"]\n  41 -> 45 [size =\"49890304\"]\n  42 [size=\"92731392\", alpha=\"0.07\", expect_size=\"46365696\"] \n  42 -> 47 [size =\"46365696\"]\n  42 -> 48 [size =\"46365696\"]\n  43 [size=\"85821440\", alpha=\"0.08\", expect_size=\"42910720\"] \n  43 -> 48 [size =\"42910720\"]\n  44 [size=\"27772928\", alpha=\"0.10\", expect_size=\"13886464\"] \n  45 [size=\"75151360\", alpha=\"0.11\", expect_size=\"37575680\"] \n  46 [size=\"102815744\", alpha=\"0.16\", expect_size=\"51407872\"] \n  47 [size=\"64540672\", alpha=\"0.17\", expect_size=\"32270336\"] \n  48 [size=\"75284480\", alpha=\"0.00\", expect_size=\"37642240\"] \n  49 [size=\"68726784\", alpha=\"0.08\", expect_size=\"34363392\"] \n  50 [size=\"51662848\", alpha=\"0.14\", expect_size=\"25831424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19251200\", alpha=\"0.18\", expect_size=\"5775360\"] \n  1 -> 2 [size =\"5775360\"]\n  2 [size=\"123774293\", alpha=\"0.05\", expect_size=\"37132288\"] \n  2 -> 3 [size =\"37132288\"]\n  3 [size=\"39424000\", alpha=\"0.14\", expect_size=\"11827200\"] \n  3 -> 4 [size =\"11827200\"]\n  4 [size=\"116531200\", alpha=\"0.13\", expect_size=\"34959360\"] \n  4 -> 5 [size =\"34959360\"]\n  5 [size=\"33785173\", alpha=\"0.05\", expect_size=\"10135552\"] \n  5 -> 6 [size =\"10135552\"]\n  6 [size=\"129426773\", alpha=\"0.08\", expect_size=\"38828032\"] \n  6 -> 7 [size =\"38828032\"]\n  7 [size=\"148592640\", alpha=\"0.18\", expect_size=\"44577792\"] \n  7 -> 8 [size =\"44577792\"]\n  8 [size=\"166574080\", alpha=\"0.09\", expect_size=\"49972224\"] \n  8 -> 9 [size =\"49972224\"]\n  9 [size=\"163461120\", alpha=\"0.11\", expect_size=\"49038336\"] \n  9 -> 10 [size =\"49038336\"]\n  10 [size=\"40960000\", alpha=\"0.19\", expect_size=\"12288000\"] \n  10 -> 11 [size =\"12288000\"]\n  11 [size=\"112865280\", alpha=\"0.15\", expect_size=\"33859584\"] \n  11 -> 12 [size =\"33859584\"]\n  12 [size=\"101014187\", alpha=\"0.17\", expect_size=\"30304256\"] \n  12 -> 13 [size =\"30304256\"]\n  13 [size=\"143298560\", alpha=\"0.17\", expect_size=\"42989568\"] \n  13 -> 14 [size =\"42989568\"]\n  14 [size=\"96651947\", alpha=\"0.07\", expect_size=\"28995584\"] \n  14 -> 15 [size =\"28995584\"]\n  15 [size=\"40765440\", alpha=\"0.10\", expect_size=\"12229632\"] \n  15 -> 16 [size =\"12229632\"]\n  16 [size=\"82906453\", alpha=\"0.14\", expect_size=\"24871936\"] \n  16 -> 17 [size =\"24871936\"]\n  17 [size=\"142394027\", alpha=\"0.18\", expect_size=\"42718208\"] \n  17 -> 18 [size =\"42718208\"]\n  18 [size=\"128064853\", alpha=\"0.06\", expect_size=\"38419456\"] \n  18 -> 19 [size =\"38419456\"]\n  19 [size=\"45335893\", alpha=\"0.04\", expect_size=\"13600768\"] \n  19 -> 20 [size =\"13600768\"]\n  20 [size=\"133553493\", alpha=\"0.14\", expect_size=\"40066048\"] \n  20 -> 21 [size =\"40066048\"]\n  21 [size=\"123692373\", alpha=\"0.04\", expect_size=\"37107712\"] \n  21 -> 22 [size =\"37107712\"]\n  22 [size=\"85230933\", alpha=\"0.08\", expect_size=\"25569280\"] \n  22 -> 23 [size =\"25569280\"]\n  23 [size=\"59665067\", alpha=\"0.14\", expect_size=\"17899520\"] \n  23 -> 24 [size =\"17899520\"]\n  24 [size=\"32283307\", alpha=\"0.13\", expect_size=\"9684992\"] \n  24 -> 25 [size =\"9684992\"]\n  25 [size=\"86405120\", alpha=\"0.14\", expect_size=\"25921536\"] \n  25 -> 26 [size =\"25921536\"]\n  26 [size=\"162921813\", alpha=\"0.09\", expect_size=\"48876544\"] \n  26 -> 27 [size =\"48876544\"]\n  27 [size=\"119575893\", alpha=\"0.01\", expect_size=\"35872768\"] \n  27 -> 28 [size =\"35872768\"]\n  28 [size=\"106861227\", alpha=\"0.12\", expect_size=\"32058368\"] \n  28 -> 29 [size =\"32058368\"]\n  29 [size=\"153378133\", alpha=\"0.01\", expect_size=\"46013440\"] \n  29 -> 30 [size =\"46013440\"]\n  30 [size=\"30149973\", alpha=\"0.13\", expect_size=\"9044992\"] \n  30 -> 31 [size =\"9044992\"]\n  31 [size=\"140994560\", alpha=\"0.18\", expect_size=\"42298368\"] \n  31 -> 32 [size =\"42298368\"]\n  32 [size=\"173114027\", alpha=\"0.13\", expect_size=\"51934208\"] \n  32 -> 33 [size =\"51934208\"]\n  33 [size=\"75520000\", alpha=\"0.04\", expect_size=\"22656000\"] \n  33 -> 34 [size =\"22656000\"]\n  34 [size=\"27450027\", alpha=\"0.05\", expect_size=\"8235008\"] \n  34 -> 35 [size =\"8235008\"]\n  35 [size=\"127959040\", alpha=\"0.10\", expect_size=\"38387712\"] \n  35 -> 36 [size =\"38387712\"]\n  36 [size=\"78786560\", alpha=\"0.02\", expect_size=\"23635968\"] \n  36 -> 37 [size =\"23635968\"]\n  37 [size=\"149172907\", alpha=\"0.10\", expect_size=\"44751872\"] \n  37 -> 38 [size =\"44751872\"]\n  38 [size=\"155658240\", alpha=\"0.13\", expect_size=\"46697472\"] \n  38 -> 39 [size =\"46697472\"]\n  39 [size=\"90060800\", alpha=\"0.19\", expect_size=\"27018240\"] \n  39 -> 40 [size =\"27018240\"]\n  40 [size=\"98365440\", alpha=\"0.20\", expect_size=\"29509632\"] \n  40 -> 41 [size =\"29509632\"]\n  41 [size=\"46769493\", alpha=\"0.14\", expect_size=\"14030848\"] \n  41 -> 42 [size =\"14030848\"]\n  42 [size=\"30665387\", alpha=\"0.17\", expect_size=\"9199616\"] \n  42 -> 43 [size =\"9199616\"]\n  43 [size=\"133597867\", alpha=\"0.05\", expect_size=\"40079360\"] \n  43 -> 44 [size =\"40079360\"]\n  44 [size=\"166813013\", alpha=\"0.15\", expect_size=\"50043904\"] \n  44 -> 45 [size =\"50043904\"]\n  45 [size=\"52203520\", alpha=\"0.14\", expect_size=\"15661056\"] \n  45 -> 46 [size =\"15661056\"]\n  46 [size=\"127634773\", alpha=\"0.11\", expect_size=\"38290432\"] \n  46 -> 47 [size =\"38290432\"]\n  47 [size=\"143960747\", alpha=\"0.02\", expect_size=\"43188224\"] \n  47 -> 48 [size =\"43188224\"]\n  48 [size=\"68816213\", alpha=\"0.03\", expect_size=\"20644864\"] \n  48 -> 49 [size =\"20644864\"]\n  49 [size=\"170076160\", alpha=\"0.02\", expect_size=\"51022848\"] \n  49 -> 50 [size =\"51022848\"]\n  50 [size=\"161030827\", alpha=\"0.03\", expect_size=\"48309248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.580.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75594240\", alpha=\"0.10\", expect_size=\"30237696\"] \n  1 -> 9 [size =\"30237696\"]\n  1 -> 11 [size =\"30237696\"]\n  1 -> 12 [size =\"30237696\"]\n  2 [size=\"94412800\", alpha=\"0.10\", expect_size=\"37765120\"] \n  2 -> 8 [size =\"37765120\"]\n  2 -> 9 [size =\"37765120\"]\n  2 -> 13 [size =\"37765120\"]\n  3 [size=\"44446720\", alpha=\"0.07\", expect_size=\"17778688\"] \n  3 -> 10 [size =\"17778688\"]\n  3 -> 11 [size =\"17778688\"]\n  4 [size=\"23603200\", alpha=\"0.01\", expect_size=\"9441280\"] \n  4 -> 13 [size =\"9441280\"]\n  5 [size=\"13928960\", alpha=\"0.06\", expect_size=\"5571584\"] \n  5 -> 8 [size =\"5571584\"]\n  5 -> 11 [size =\"5571584\"]\n  5 -> 13 [size =\"5571584\"]\n  6 [size=\"130764800\", alpha=\"0.01\", expect_size=\"52305920\"] \n  7 [size=\"44664320\", alpha=\"0.10\", expect_size=\"17865728\"] \n  7 -> 9 [size =\"17865728\"]\n  8 [size=\"61562880\", alpha=\"0.05\", expect_size=\"24625152\"] \n  8 -> 16 [size =\"24625152\"]\n  8 -> 17 [size =\"24625152\"]\n  8 -> 19 [size =\"24625152\"]\n  8 -> 20 [size =\"24625152\"]\n  9 [size=\"77931520\", alpha=\"0.10\", expect_size=\"31172608\"] \n  9 -> 15 [size =\"31172608\"]\n  10 [size=\"126625280\", alpha=\"0.01\", expect_size=\"50650112\"] \n  10 -> 17 [size =\"50650112\"]\n  10 -> 20 [size =\"50650112\"]\n  11 [size=\"41676800\", alpha=\"0.07\", expect_size=\"16670720\"] \n  11 -> 14 [size =\"16670720\"]\n  11 -> 15 [size =\"16670720\"]\n  12 [size=\"101882880\", alpha=\"0.15\", expect_size=\"40753152\"] \n  12 -> 18 [size =\"40753152\"]\n  13 [size=\"44295680\", alpha=\"0.08\", expect_size=\"17718272\"] \n  13 -> 19 [size =\"17718272\"]\n  14 [size=\"85312000\", alpha=\"0.06\", expect_size=\"34124800\"] \n  14 -> 21 [size =\"34124800\"]\n  14 -> 22 [size =\"34124800\"]\n  15 [size=\"93114880\", alpha=\"0.05\", expect_size=\"37245952\"] \n  15 -> 23 [size =\"37245952\"]\n  15 -> 24 [size =\"37245952\"]\n  16 [size=\"129689600\", alpha=\"0.19\", expect_size=\"51875840\"] \n  16 -> 21 [size =\"51875840\"]\n  16 -> 24 [size =\"51875840\"]\n  17 [size=\"19581440\", alpha=\"0.19\", expect_size=\"7832576\"] \n  17 -> 22 [size =\"7832576\"]\n  17 -> 24 [size =\"7832576\"]\n  18 [size=\"76236800\", alpha=\"0.10\", expect_size=\"30494720\"] \n  18 -> 21 [size =\"30494720\"]\n  18 -> 22 [size =\"30494720\"]\n  19 [size=\"108382720\", alpha=\"0.16\", expect_size=\"43353088\"] \n  19 -> 25 [size =\"43353088\"]\n  19 -> 26 [size =\"43353088\"]\n  20 [size=\"51827200\", alpha=\"0.09\", expect_size=\"20730880\"] \n  20 -> 23 [size =\"20730880\"]\n  21 [size=\"57628160\", alpha=\"0.12\", expect_size=\"23051264\"] \n  21 -> 32 [size =\"23051264\"]\n  22 [size=\"98045440\", alpha=\"0.09\", expect_size=\"39218176\"] \n  22 -> 27 [size =\"39218176\"]\n  22 -> 28 [size =\"39218176\"]\n  22 -> 29 [size =\"39218176\"]\n  22 -> 31 [size =\"39218176\"]\n  23 [size=\"69662720\", alpha=\"0.11\", expect_size=\"27865088\"] \n  23 -> 28 [size =\"27865088\"]\n  23 -> 29 [size =\"27865088\"]\n  23 -> 30 [size =\"27865088\"]\n  23 -> 31 [size =\"27865088\"]\n  24 [size=\"116134400\", alpha=\"0.16\", expect_size=\"46453760\"] \n  24 -> 32 [size =\"46453760\"]\n  25 [size=\"34767360\", alpha=\"0.20\", expect_size=\"13906944\"] \n  25 -> 27 [size =\"13906944\"]\n  26 [size=\"66874880\", alpha=\"0.04\", expect_size=\"26749952\"] \n  26 -> 27 [size =\"26749952\"]\n  26 -> 28 [size =\"26749952\"]\n  26 -> 29 [size =\"26749952\"]\n  26 -> 30 [size =\"26749952\"]\n  26 -> 32 [size =\"26749952\"]\n  27 [size=\"62087680\", alpha=\"0.14\", expect_size=\"24835072\"] \n  27 -> 35 [size =\"24835072\"]\n  27 -> 37 [size =\"24835072\"]\n  28 [size=\"56488960\", alpha=\"0.11\", expect_size=\"22595584\"] \n  28 -> 33 [size =\"22595584\"]\n  28 -> 35 [size =\"22595584\"]\n  29 [size=\"113779200\", alpha=\"0.00\", expect_size=\"45511680\"] \n  29 -> 34 [size =\"45511680\"]\n  29 -> 35 [size =\"45511680\"]\n  29 -> 36 [size =\"45511680\"]\n  30 [size=\"91929600\", alpha=\"0.08\", expect_size=\"36771840\"] \n  30 -> 34 [size =\"36771840\"]\n  30 -> 36 [size =\"36771840\"]\n  31 [size=\"26626560\", alpha=\"0.01\", expect_size=\"10650624\"] \n  31 -> 38 [size =\"10650624\"]\n  32 [size=\"98321920\", alpha=\"0.09\", expect_size=\"39328768\"] \n  32 -> 34 [size =\"39328768\"]\n  32 -> 36 [size =\"39328768\"]\n  33 [size=\"34434560\", alpha=\"0.02\", expect_size=\"13773824\"] \n  33 -> 39 [size =\"13773824\"]\n  33 -> 40 [size =\"13773824\"]\n  33 -> 43 [size =\"13773824\"]\n  34 [size=\"102231040\", alpha=\"0.07\", expect_size=\"40892416\"] \n  34 -> 39 [size =\"40892416\"]\n  34 -> 40 [size =\"40892416\"]\n  34 -> 42 [size =\"40892416\"]\n  35 [size=\"76280320\", alpha=\"0.06\", expect_size=\"30512128\"] \n  35 -> 39 [size =\"30512128\"]\n  35 -> 40 [size =\"30512128\"]\n  36 [size=\"75368960\", alpha=\"0.05\", expect_size=\"30147584\"] \n  36 -> 43 [size =\"30147584\"]\n  36 -> 44 [size =\"30147584\"]\n  37 [size=\"99194880\", alpha=\"0.05\", expect_size=\"39677952\"] \n  37 -> 41 [size =\"39677952\"]\n  37 -> 42 [size =\"39677952\"]\n  37 -> 45 [size =\"39677952\"]\n  38 [size=\"61347840\", alpha=\"0.16\", expect_size=\"24539136\"] \n  39 [size=\"128250880\", alpha=\"0.02\", expect_size=\"51300352\"] \n  39 -> 46 [size =\"51300352\"]\n  39 -> 48 [size =\"51300352\"]\n  40 [size=\"128801280\", alpha=\"0.16\", expect_size=\"51520512\"] \n  40 -> 48 [size =\"51520512\"]\n  41 [size=\"58552320\", alpha=\"0.16\", expect_size=\"23420928\"] \n  41 -> 47 [size =\"23420928\"]\n  41 -> 49 [size =\"23420928\"]\n  41 -> 50 [size =\"23420928\"]\n  42 [size=\"64035840\", alpha=\"0.12\", expect_size=\"25614336\"] \n  42 -> 48 [size =\"25614336\"]\n  42 -> 49 [size =\"25614336\"]\n  42 -> 50 [size =\"25614336\"]\n  43 [size=\"116065280\", alpha=\"0.16\", expect_size=\"46426112\"] \n  43 -> 46 [size =\"46426112\"]\n  43 -> 47 [size =\"46426112\"]\n  44 [size=\"127869440\", alpha=\"0.19\", expect_size=\"51147776\"] \n  44 -> 47 [size =\"51147776\"]\n  45 [size=\"53685760\", alpha=\"0.05\", expect_size=\"21474304\"] \n  45 -> 48 [size =\"21474304\"]\n  45 -> 50 [size =\"21474304\"]\n  46 [size=\"91489280\", alpha=\"0.20\", expect_size=\"36595712\"] \n  47 [size=\"121935360\", alpha=\"0.03\", expect_size=\"48774144\"] \n  48 [size=\"33533440\", alpha=\"0.14\", expect_size=\"13413376\"] \n  49 [size=\"125347840\", alpha=\"0.02\", expect_size=\"50139136\"] \n  50 [size=\"20787200\", alpha=\"0.03\", expect_size=\"8314880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.581.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30576640\", alpha=\"0.17\", expect_size=\"9172992\"] \n  1 -> 22 [size =\"9172992\"]\n  1 -> 23 [size =\"9172992\"]\n  2 [size=\"136267093\", alpha=\"0.14\", expect_size=\"40880128\"] \n  2 -> 18 [size =\"40880128\"]\n  2 -> 21 [size =\"40880128\"]\n  2 -> 23 [size =\"40880128\"]\n  3 [size=\"105205760\", alpha=\"0.08\", expect_size=\"31561728\"] \n  3 -> 20 [size =\"31561728\"]\n  3 -> 21 [size =\"31561728\"]\n  3 -> 23 [size =\"31561728\"]\n  4 [size=\"60030293\", alpha=\"0.19\", expect_size=\"18009088\"] \n  4 -> 18 [size =\"18009088\"]\n  4 -> 22 [size =\"18009088\"]\n  5 [size=\"136277333\", alpha=\"0.18\", expect_size=\"40883200\"] \n  5 -> 25 [size =\"40883200\"]\n  6 [size=\"155047253\", alpha=\"0.20\", expect_size=\"46514176\"] \n  6 -> 21 [size =\"46514176\"]\n  6 -> 23 [size =\"46514176\"]\n  6 -> 24 [size =\"46514176\"]\n  7 [size=\"68293973\", alpha=\"0.07\", expect_size=\"20488192\"] \n  7 -> 16 [size =\"20488192\"]\n  7 -> 23 [size =\"20488192\"]\n  8 [size=\"90091520\", alpha=\"0.19\", expect_size=\"27027456\"] \n  8 -> 16 [size =\"27027456\"]\n  8 -> 19 [size =\"27027456\"]\n  8 -> 21 [size =\"27027456\"]\n  8 -> 23 [size =\"27027456\"]\n  8 -> 27 [size =\"27027456\"]\n  9 [size=\"86828373\", alpha=\"0.12\", expect_size=\"26048512\"] \n  9 -> 24 [size =\"26048512\"]\n  9 -> 27 [size =\"26048512\"]\n  10 [size=\"21309440\", alpha=\"0.09\", expect_size=\"6392832\"] \n  10 -> 22 [size =\"6392832\"]\n  10 -> 24 [size =\"6392832\"]\n  11 [size=\"76025173\", alpha=\"0.07\", expect_size=\"22807552\"] \n  11 -> 22 [size =\"22807552\"]\n  12 [size=\"49745920\", alpha=\"0.08\", expect_size=\"14923776\"] \n  12 -> 16 [size =\"14923776\"]\n  12 -> 22 [size =\"14923776\"]\n  12 -> 24 [size =\"14923776\"]\n  12 -> 26 [size =\"14923776\"]\n  12 -> 27 [size =\"14923776\"]\n  13 [size=\"162375680\", alpha=\"0.08\", expect_size=\"48712704\"] \n  13 -> 21 [size =\"48712704\"]\n  13 -> 24 [size =\"48712704\"]\n  13 -> 26 [size =\"48712704\"]\n  13 -> 26 [size =\"48712704\"]\n  13 -> 27 [size =\"48712704\"]\n  14 [size=\"71570773\", alpha=\"0.02\", expect_size=\"21471232\"] \n  14 -> 17 [size =\"21471232\"]\n  15 [size=\"60924587\", alpha=\"0.11\", expect_size=\"18277376\"] \n  15 -> 26 [size =\"18277376\"]\n  16 [size=\"42437973\", alpha=\"0.18\", expect_size=\"12731392\"] \n  16 -> 29 [size =\"12731392\"]\n  16 -> 30 [size =\"12731392\"]\n  16 -> 38 [size =\"12731392\"]\n  17 [size=\"39888213\", alpha=\"0.05\", expect_size=\"11966464\"] \n  17 -> 29 [size =\"11966464\"]\n  17 -> 32 [size =\"11966464\"]\n  17 -> 44 [size =\"11966464\"]\n  18 [size=\"92842667\", alpha=\"0.12\", expect_size=\"27852800\"] \n  18 -> 31 [size =\"27852800\"]\n  18 -> 32 [size =\"27852800\"]\n  18 -> 36 [size =\"27852800\"]\n  18 -> 38 [size =\"27852800\"]\n  19 [size=\"88606720\", alpha=\"0.11\", expect_size=\"26582016\"] \n  19 -> 33 [size =\"26582016\"]\n  19 -> 35 [size =\"26582016\"]\n  19 -> 36 [size =\"26582016\"]\n  19 -> 41 [size =\"26582016\"]\n  19 -> 44 [size =\"26582016\"]\n  20 [size=\"28334080\", alpha=\"0.15\", expect_size=\"8500224\"] \n  20 -> 44 [size =\"8500224\"]\n  21 [size=\"95542613\", alpha=\"0.01\", expect_size=\"28662784\"] \n  21 -> 33 [size =\"28662784\"]\n  21 -> 44 [size =\"28662784\"]\n  22 [size=\"148322987\", alpha=\"0.01\", expect_size=\"44496896\"] \n  22 -> 28 [size =\"44496896\"]\n  22 -> 33 [size =\"44496896\"]\n  22 -> 35 [size =\"44496896\"]\n  22 -> 39 [size =\"44496896\"]\n  23 [size=\"53131947\", alpha=\"0.13\", expect_size=\"15939584\"] \n  23 -> 30 [size =\"15939584\"]\n  23 -> 31 [size =\"15939584\"]\n  23 -> 37 [size =\"15939584\"]\n  23 -> 38 [size =\"15939584\"]\n  23 -> 44 [size =\"15939584\"]\n  24 [size=\"115411627\", alpha=\"0.10\", expect_size=\"34623488\"] \n  24 -> 30 [size =\"34623488\"]\n  24 -> 34 [size =\"34623488\"]\n  24 -> 37 [size =\"34623488\"]\n  24 -> 38 [size =\"34623488\"]\n  25 [size=\"134700373\", alpha=\"0.02\", expect_size=\"40410112\"] \n  25 -> 29 [size =\"40410112\"]\n  25 -> 30 [size =\"40410112\"]\n  25 -> 33 [size =\"40410112\"]\n  25 -> 35 [size =\"40410112\"]\n  25 -> 37 [size =\"40410112\"]\n  25 -> 43 [size =\"40410112\"]\n  26 [size=\"61798400\", alpha=\"0.12\", expect_size=\"18539520\"] \n  26 -> 30 [size =\"18539520\"]\n  26 -> 30 [size =\"18539520\"]\n  26 -> 33 [size =\"18539520\"]\n  26 -> 35 [size =\"18539520\"]\n  26 -> 39 [size =\"18539520\"]\n  26 -> 42 [size =\"18539520\"]\n  26 -> 44 [size =\"18539520\"]\n  27 [size=\"47540907\", alpha=\"0.08\", expect_size=\"14262272\"] \n  27 -> 28 [size =\"14262272\"]\n  27 -> 29 [size =\"14262272\"]\n  27 -> 40 [size =\"14262272\"]\n  28 [size=\"89541973\", alpha=\"0.14\", expect_size=\"26862592\"] \n  29 [size=\"24845653\", alpha=\"0.08\", expect_size=\"7453696\"] \n  29 -> 46 [size =\"7453696\"]\n  30 [size=\"115200000\", alpha=\"0.03\", expect_size=\"34560000\"] \n  30 -> 46 [size =\"34560000\"]\n  30 -> 47 [size =\"34560000\"]\n  30 -> 49 [size =\"34560000\"]\n  31 [size=\"78213120\", alpha=\"0.05\", expect_size=\"23463936\"] \n  31 -> 46 [size =\"23463936\"]\n  31 -> 49 [size =\"23463936\"]\n  32 [size=\"84282027\", alpha=\"0.11\", expect_size=\"25284608\"] \n  32 -> 50 [size =\"25284608\"]\n  33 [size=\"94904320\", alpha=\"0.16\", expect_size=\"28471296\"] \n  33 -> 47 [size =\"28471296\"]\n  33 -> 49 [size =\"28471296\"]\n  34 [size=\"40533333\", alpha=\"0.08\", expect_size=\"12160000\"] \n  34 -> 47 [size =\"12160000\"]\n  34 -> 50 [size =\"12160000\"]\n  35 [size=\"121006080\", alpha=\"0.05\", expect_size=\"36301824\"] \n  35 -> 47 [size =\"36301824\"]\n  35 -> 48 [size =\"36301824\"]\n  35 -> 50 [size =\"36301824\"]\n  36 [size=\"140557653\", alpha=\"0.05\", expect_size=\"42167296\"] \n  36 -> 47 [size =\"42167296\"]\n  36 -> 48 [size =\"42167296\"]\n  36 -> 50 [size =\"42167296\"]\n  37 [size=\"79465813\", alpha=\"0.08\", expect_size=\"23839744\"] \n  37 -> 45 [size =\"23839744\"]\n  37 -> 50 [size =\"23839744\"]\n  37 -> 50 [size =\"23839744\"]\n  38 [size=\"145841493\", alpha=\"0.01\", expect_size=\"43752448\"] \n  38 -> 46 [size =\"43752448\"]\n  38 -> 48 [size =\"43752448\"]\n  38 -> 50 [size =\"43752448\"]\n  39 [size=\"97727147\", alpha=\"0.03\", expect_size=\"29318144\"] \n  40 [size=\"161764693\", alpha=\"0.06\", expect_size=\"48529408\"] \n  40 -> 47 [size =\"48529408\"]\n  40 -> 49 [size =\"48529408\"]\n  41 [size=\"27211093\", alpha=\"0.19\", expect_size=\"8163328\"] \n  41 -> 49 [size =\"8163328\"]\n  42 [size=\"67194880\", alpha=\"0.09\", expect_size=\"20158464\"] \n  42 -> 49 [size =\"20158464\"]\n  43 [size=\"156699307\", alpha=\"0.03\", expect_size=\"47009792\"] \n  43 -> 47 [size =\"47009792\"]\n  43 -> 49 [size =\"47009792\"]\n  44 [size=\"126050987\", alpha=\"0.10\", expect_size=\"37815296\"] \n  45 [size=\"29351253\", alpha=\"0.11\", expect_size=\"8805376\"] \n  46 [size=\"67331413\", alpha=\"0.19\", expect_size=\"20199424\"] \n  47 [size=\"107670187\", alpha=\"0.10\", expect_size=\"32301056\"] \n  48 [size=\"172779520\", alpha=\"0.10\", expect_size=\"51833856\"] \n  49 [size=\"23456427\", alpha=\"0.11\", expect_size=\"7036928\"] \n  50 [size=\"45404160\", alpha=\"0.05\", expect_size=\"13621248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.582.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111802880\", alpha=\"0.17\", expect_size=\"44721152\"] \n  1 -> 10 [size =\"44721152\"]\n  1 -> 12 [size =\"44721152\"]\n  1 -> 13 [size =\"44721152\"]\n  2 [size=\"20922880\", alpha=\"0.14\", expect_size=\"8369152\"] \n  2 -> 10 [size =\"8369152\"]\n  2 -> 12 [size =\"8369152\"]\n  2 -> 16 [size =\"8369152\"]\n  3 [size=\"114731520\", alpha=\"0.07\", expect_size=\"45892608\"] \n  3 -> 10 [size =\"45892608\"]\n  3 -> 12 [size =\"45892608\"]\n  4 [size=\"84275200\", alpha=\"0.15\", expect_size=\"33710080\"] \n  4 -> 12 [size =\"33710080\"]\n  4 -> 12 [size =\"33710080\"]\n  5 [size=\"93317120\", alpha=\"0.11\", expect_size=\"37326848\"] \n  5 -> 10 [size =\"37326848\"]\n  5 -> 14 [size =\"37326848\"]\n  6 [size=\"37470720\", alpha=\"0.15\", expect_size=\"14988288\"] \n  6 -> 10 [size =\"14988288\"]\n  6 -> 11 [size =\"14988288\"]\n  6 -> 14 [size =\"14988288\"]\n  7 [size=\"118510080\", alpha=\"0.17\", expect_size=\"47404032\"] \n  7 -> 10 [size =\"47404032\"]\n  7 -> 11 [size =\"47404032\"]\n  7 -> 13 [size =\"47404032\"]\n  7 -> 14 [size =\"47404032\"]\n  8 [size=\"83138560\", alpha=\"0.16\", expect_size=\"33255424\"] \n  8 -> 11 [size =\"33255424\"]\n  8 -> 13 [size =\"33255424\"]\n  8 -> 14 [size =\"33255424\"]\n  8 -> 16 [size =\"33255424\"]\n  9 [size=\"58775040\", alpha=\"0.04\", expect_size=\"23510016\"] \n  9 -> 10 [size =\"23510016\"]\n  9 -> 12 [size =\"23510016\"]\n  9 -> 15 [size =\"23510016\"]\n  9 -> 16 [size =\"23510016\"]\n  10 [size=\"115402240\", alpha=\"0.11\", expect_size=\"46160896\"] \n  11 [size=\"61765120\", alpha=\"0.14\", expect_size=\"24706048\"] \n  11 -> 18 [size =\"24706048\"]\n  11 -> 21 [size =\"24706048\"]\n  11 -> 22 [size =\"24706048\"]\n  12 [size=\"46888960\", alpha=\"0.01\", expect_size=\"18755584\"] \n  12 -> 17 [size =\"18755584\"]\n  12 -> 18 [size =\"18755584\"]\n  12 -> 19 [size =\"18755584\"]\n  12 -> 20 [size =\"18755584\"]\n  12 -> 21 [size =\"18755584\"]\n  12 -> 22 [size =\"18755584\"]\n  13 [size=\"130826240\", alpha=\"0.15\", expect_size=\"52330496\"] \n  13 -> 17 [size =\"52330496\"]\n  13 -> 19 [size =\"52330496\"]\n  13 -> 20 [size =\"52330496\"]\n  13 -> 20 [size =\"52330496\"]\n  13 -> 22 [size =\"52330496\"]\n  14 [size=\"52403200\", alpha=\"0.13\", expect_size=\"20961280\"] \n  14 -> 17 [size =\"20961280\"]\n  14 -> 19 [size =\"20961280\"]\n  14 -> 22 [size =\"20961280\"]\n  15 [size=\"22855680\", alpha=\"0.13\", expect_size=\"9142272\"] \n  15 -> 18 [size =\"9142272\"]\n  15 -> 21 [size =\"9142272\"]\n  16 [size=\"90014720\", alpha=\"0.05\", expect_size=\"36005888\"] \n  16 -> 17 [size =\"36005888\"]\n  16 -> 21 [size =\"36005888\"]\n  17 [size=\"62727680\", alpha=\"0.09\", expect_size=\"25091072\"] \n  17 -> 24 [size =\"25091072\"]\n  17 -> 26 [size =\"25091072\"]\n  18 [size=\"42900480\", alpha=\"0.11\", expect_size=\"17160192\"] \n  18 -> 26 [size =\"17160192\"]\n  18 -> 27 [size =\"17160192\"]\n  18 -> 28 [size =\"17160192\"]\n  19 [size=\"20582400\", alpha=\"0.03\", expect_size=\"8232960\"] \n  19 -> 23 [size =\"8232960\"]\n  19 -> 25 [size =\"8232960\"]\n  19 -> 26 [size =\"8232960\"]\n  20 [size=\"46484480\", alpha=\"0.14\", expect_size=\"18593792\"] \n  20 -> 26 [size =\"18593792\"]\n  21 [size=\"112696320\", alpha=\"0.02\", expect_size=\"45078528\"] \n  21 -> 24 [size =\"45078528\"]\n  22 [size=\"79879680\", alpha=\"0.11\", expect_size=\"31951872\"] \n  22 -> 23 [size =\"31951872\"]\n  22 -> 24 [size =\"31951872\"]\n  23 [size=\"84057600\", alpha=\"0.17\", expect_size=\"33623040\"] \n  23 -> 29 [size =\"33623040\"]\n  23 -> 30 [size =\"33623040\"]\n  23 -> 35 [size =\"33623040\"]\n  24 [size=\"52431360\", alpha=\"0.15\", expect_size=\"20972544\"] \n  24 -> 30 [size =\"20972544\"]\n  24 -> 31 [size =\"20972544\"]\n  24 -> 33 [size =\"20972544\"]\n  24 -> 37 [size =\"20972544\"]\n  24 -> 38 [size =\"20972544\"]\n  25 [size=\"130109440\", alpha=\"0.07\", expect_size=\"52043776\"] \n  25 -> 34 [size =\"52043776\"]\n  25 -> 36 [size =\"52043776\"]\n  26 [size=\"89697280\", alpha=\"0.03\", expect_size=\"35878912\"] \n  26 -> 29 [size =\"35878912\"]\n  26 -> 31 [size =\"35878912\"]\n  26 -> 32 [size =\"35878912\"]\n  26 -> 35 [size =\"35878912\"]\n  26 -> 36 [size =\"35878912\"]\n  27 [size=\"117452800\", alpha=\"0.17\", expect_size=\"46981120\"] \n  27 -> 30 [size =\"46981120\"]\n  27 -> 31 [size =\"46981120\"]\n  27 -> 37 [size =\"46981120\"]\n  27 -> 38 [size =\"46981120\"]\n  28 [size=\"52597760\", alpha=\"0.03\", expect_size=\"21039104\"] \n  28 -> 29 [size =\"21039104\"]\n  28 -> 30 [size =\"21039104\"]\n  28 -> 34 [size =\"21039104\"]\n  28 -> 35 [size =\"21039104\"]\n  28 -> 37 [size =\"21039104\"]\n  29 [size=\"115420160\", alpha=\"0.17\", expect_size=\"46168064\"] \n  29 -> 39 [size =\"46168064\"]\n  29 -> 42 [size =\"46168064\"]\n  30 [size=\"13936640\", alpha=\"0.08\", expect_size=\"5574656\"] \n  30 -> 39 [size =\"5574656\"]\n  30 -> 43 [size =\"5574656\"]\n  31 [size=\"95457280\", alpha=\"0.07\", expect_size=\"38182912\"] \n  31 -> 39 [size =\"38182912\"]\n  31 -> 40 [size =\"38182912\"]\n  31 -> 43 [size =\"38182912\"]\n  32 [size=\"104780800\", alpha=\"0.12\", expect_size=\"41912320\"] \n  32 -> 40 [size =\"41912320\"]\n  33 [size=\"49730560\", alpha=\"0.17\", expect_size=\"19892224\"] \n  33 -> 41 [size =\"19892224\"]\n  33 -> 43 [size =\"19892224\"]\n  34 [size=\"31928320\", alpha=\"0.08\", expect_size=\"12771328\"] \n  34 -> 41 [size =\"12771328\"]\n  34 -> 43 [size =\"12771328\"]\n  35 [size=\"122544640\", alpha=\"0.02\", expect_size=\"49017856\"] \n  35 -> 40 [size =\"49017856\"]\n  35 -> 41 [size =\"49017856\"]\n  35 -> 43 [size =\"49017856\"]\n  36 [size=\"47900160\", alpha=\"0.08\", expect_size=\"19160064\"] \n  36 -> 40 [size =\"19160064\"]\n  36 -> 41 [size =\"19160064\"]\n  36 -> 43 [size =\"19160064\"]\n  37 [size=\"68282880\", alpha=\"0.02\", expect_size=\"27313152\"] \n  37 -> 39 [size =\"27313152\"]\n  37 -> 40 [size =\"27313152\"]\n  37 -> 41 [size =\"27313152\"]\n  38 [size=\"53171200\", alpha=\"0.02\", expect_size=\"21268480\"] \n  38 -> 39 [size =\"21268480\"]\n  39 [size=\"72596480\", alpha=\"0.03\", expect_size=\"29038592\"] \n  39 -> 44 [size =\"29038592\"]\n  39 -> 45 [size =\"29038592\"]\n  39 -> 46 [size =\"29038592\"]\n  39 -> 50 [size =\"29038592\"]\n  40 [size=\"54264320\", alpha=\"0.10\", expect_size=\"21705728\"] \n  40 -> 44 [size =\"21705728\"]\n  40 -> 46 [size =\"21705728\"]\n  40 -> 50 [size =\"21705728\"]\n  41 [size=\"100472320\", alpha=\"0.13\", expect_size=\"40188928\"] \n  41 -> 44 [size =\"40188928\"]\n  41 -> 48 [size =\"40188928\"]\n  42 [size=\"23948800\", alpha=\"0.08\", expect_size=\"9579520\"] \n  42 -> 45 [size =\"9579520\"]\n  42 -> 47 [size =\"9579520\"]\n  42 -> 48 [size =\"9579520\"]\n  42 -> 50 [size =\"9579520\"]\n  43 [size=\"94402560\", alpha=\"0.15\", expect_size=\"37761024\"] \n  43 -> 44 [size =\"37761024\"]\n  43 -> 48 [size =\"37761024\"]\n  43 -> 49 [size =\"37761024\"]\n  43 -> 50 [size =\"37761024\"]\n  44 [size=\"75665920\", alpha=\"0.08\", expect_size=\"30266368\"] \n  45 [size=\"124992000\", alpha=\"0.02\", expect_size=\"49996800\"] \n  46 [size=\"16207360\", alpha=\"0.08\", expect_size=\"6482944\"] \n  47 [size=\"62144000\", alpha=\"0.12\", expect_size=\"24857600\"] \n  48 [size=\"76497920\", alpha=\"0.03\", expect_size=\"30599168\"] \n  49 [size=\"89064960\", alpha=\"0.11\", expect_size=\"35625984\"] \n  50 [size=\"107315200\", alpha=\"0.19\", expect_size=\"42926080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.583.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114557440\", alpha=\"0.08\", expect_size=\"45822976\"] \n  1 -> 2 [size =\"45822976\"]\n  2 [size=\"128821760\", alpha=\"0.13\", expect_size=\"51528704\"] \n  2 -> 3 [size =\"51528704\"]\n  3 [size=\"53726720\", alpha=\"0.18\", expect_size=\"21490688\"] \n  3 -> 4 [size =\"21490688\"]\n  4 [size=\"88312320\", alpha=\"0.09\", expect_size=\"35324928\"] \n  4 -> 5 [size =\"35324928\"]\n  5 [size=\"124574720\", alpha=\"0.11\", expect_size=\"49829888\"] \n  5 -> 6 [size =\"49829888\"]\n  6 [size=\"116628480\", alpha=\"0.09\", expect_size=\"46651392\"] \n  6 -> 7 [size =\"46651392\"]\n  7 [size=\"22986240\", alpha=\"0.02\", expect_size=\"9194496\"] \n  7 -> 8 [size =\"9194496\"]\n  8 [size=\"112299520\", alpha=\"0.08\", expect_size=\"44919808\"] \n  8 -> 9 [size =\"44919808\"]\n  9 [size=\"27453440\", alpha=\"0.08\", expect_size=\"10981376\"] \n  9 -> 10 [size =\"10981376\"]\n  10 [size=\"91947520\", alpha=\"0.17\", expect_size=\"36779008\"] \n  10 -> 11 [size =\"36779008\"]\n  11 [size=\"115159040\", alpha=\"0.19\", expect_size=\"46063616\"] \n  11 -> 12 [size =\"46063616\"]\n  12 [size=\"43379200\", alpha=\"0.07\", expect_size=\"17351680\"] \n  12 -> 13 [size =\"17351680\"]\n  13 [size=\"118850560\", alpha=\"0.09\", expect_size=\"47540224\"] \n  13 -> 14 [size =\"47540224\"]\n  14 [size=\"105507840\", alpha=\"0.15\", expect_size=\"42203136\"] \n  14 -> 15 [size =\"42203136\"]\n  15 [size=\"41612800\", alpha=\"0.13\", expect_size=\"16645120\"] \n  15 -> 16 [size =\"16645120\"]\n  16 [size=\"106355200\", alpha=\"0.19\", expect_size=\"42542080\"] \n  16 -> 17 [size =\"42542080\"]\n  17 [size=\"38904320\", alpha=\"0.01\", expect_size=\"15561728\"] \n  17 -> 18 [size =\"15561728\"]\n  18 [size=\"48980480\", alpha=\"0.01\", expect_size=\"19592192\"] \n  18 -> 19 [size =\"19592192\"]\n  19 [size=\"94648320\", alpha=\"0.18\", expect_size=\"37859328\"] \n  19 -> 20 [size =\"37859328\"]\n  20 [size=\"21089280\", alpha=\"0.13\", expect_size=\"8435712\"] \n  20 -> 21 [size =\"8435712\"]\n  21 [size=\"118973440\", alpha=\"0.05\", expect_size=\"47589376\"] \n  21 -> 22 [size =\"47589376\"]\n  22 [size=\"111498240\", alpha=\"0.16\", expect_size=\"44599296\"] \n  22 -> 23 [size =\"44599296\"]\n  23 [size=\"37726720\", alpha=\"0.15\", expect_size=\"15090688\"] \n  23 -> 24 [size =\"15090688\"]\n  24 [size=\"91924480\", alpha=\"0.06\", expect_size=\"36769792\"] \n  24 -> 25 [size =\"36769792\"]\n  25 [size=\"64568320\", alpha=\"0.16\", expect_size=\"25827328\"] \n  25 -> 26 [size =\"25827328\"]\n  26 [size=\"23664640\", alpha=\"0.03\", expect_size=\"9465856\"] \n  26 -> 27 [size =\"9465856\"]\n  27 [size=\"15331840\", alpha=\"0.12\", expect_size=\"6132736\"] \n  27 -> 28 [size =\"6132736\"]\n  28 [size=\"18355200\", alpha=\"0.19\", expect_size=\"7342080\"] \n  28 -> 29 [size =\"7342080\"]\n  29 [size=\"21962240\", alpha=\"0.07\", expect_size=\"8784896\"] \n  29 -> 30 [size =\"8784896\"]\n  30 [size=\"129699840\", alpha=\"0.09\", expect_size=\"51879936\"] \n  30 -> 31 [size =\"51879936\"]\n  31 [size=\"87895040\", alpha=\"0.08\", expect_size=\"35158016\"] \n  31 -> 32 [size =\"35158016\"]\n  32 [size=\"115968000\", alpha=\"0.12\", expect_size=\"46387200\"] \n  32 -> 33 [size =\"46387200\"]\n  33 [size=\"93701120\", alpha=\"0.14\", expect_size=\"37480448\"] \n  33 -> 34 [size =\"37480448\"]\n  34 [size=\"61713920\", alpha=\"0.12\", expect_size=\"24685568\"] \n  34 -> 35 [size =\"24685568\"]\n  35 [size=\"95216640\", alpha=\"0.15\", expect_size=\"38086656\"] \n  35 -> 36 [size =\"38086656\"]\n  36 [size=\"69747200\", alpha=\"0.14\", expect_size=\"27898880\"] \n  36 -> 37 [size =\"27898880\"]\n  37 [size=\"88824320\", alpha=\"0.16\", expect_size=\"35529728\"] \n  37 -> 38 [size =\"35529728\"]\n  38 [size=\"44367360\", alpha=\"0.05\", expect_size=\"17746944\"] \n  38 -> 39 [size =\"17746944\"]\n  39 [size=\"35568640\", alpha=\"0.08\", expect_size=\"14227456\"] \n  39 -> 40 [size =\"14227456\"]\n  40 [size=\"76779520\", alpha=\"0.12\", expect_size=\"30711808\"] \n  40 -> 41 [size =\"30711808\"]\n  41 [size=\"128872960\", alpha=\"0.14\", expect_size=\"51549184\"] \n  41 -> 42 [size =\"51549184\"]\n  42 [size=\"57971200\", alpha=\"0.13\", expect_size=\"23188480\"] \n  42 -> 43 [size =\"23188480\"]\n  43 [size=\"130280960\", alpha=\"0.16\", expect_size=\"52112384\"] \n  43 -> 44 [size =\"52112384\"]\n  44 [size=\"97648640\", alpha=\"0.13\", expect_size=\"39059456\"] \n  44 -> 45 [size =\"39059456\"]\n  45 [size=\"52477440\", alpha=\"0.18\", expect_size=\"20990976\"] \n  45 -> 46 [size =\"20990976\"]\n  46 [size=\"23270400\", alpha=\"0.04\", expect_size=\"9308160\"] \n  46 -> 47 [size =\"9308160\"]\n  47 [size=\"103283200\", alpha=\"0.12\", expect_size=\"41313280\"] \n  47 -> 48 [size =\"41313280\"]\n  48 [size=\"82378240\", alpha=\"0.20\", expect_size=\"32951296\"] \n  48 -> 49 [size =\"32951296\"]\n  49 [size=\"114401280\", alpha=\"0.09\", expect_size=\"45760512\"] \n  49 -> 50 [size =\"45760512\"]\n  50 [size=\"44958720\", alpha=\"0.19\", expect_size=\"17983488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.584.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117706240\", alpha=\"0.02\", expect_size=\"47082496\"] \n  1 -> 9 [size =\"47082496\"]\n  1 -> 10 [size =\"47082496\"]\n  1 -> 12 [size =\"47082496\"]\n  1 -> 12 [size =\"47082496\"]\n  2 [size=\"127078400\", alpha=\"0.01\", expect_size=\"50831360\"] \n  2 -> 9 [size =\"50831360\"]\n  2 -> 10 [size =\"50831360\"]\n  3 [size=\"91988480\", alpha=\"0.17\", expect_size=\"36795392\"] \n  3 -> 9 [size =\"36795392\"]\n  3 -> 10 [size =\"36795392\"]\n  3 -> 11 [size =\"36795392\"]\n  3 -> 12 [size =\"36795392\"]\n  4 [size=\"129937920\", alpha=\"0.07\", expect_size=\"51975168\"] \n  4 -> 10 [size =\"51975168\"]\n  4 -> 10 [size =\"51975168\"]\n  4 -> 12 [size =\"51975168\"]\n  5 [size=\"107036160\", alpha=\"0.11\", expect_size=\"42814464\"] \n  5 -> 9 [size =\"42814464\"]\n  6 [size=\"80529920\", alpha=\"0.16\", expect_size=\"32211968\"] \n  6 -> 9 [size =\"32211968\"]\n  6 -> 11 [size =\"32211968\"]\n  7 [size=\"20753920\", alpha=\"0.20\", expect_size=\"8301568\"] \n  7 -> 9 [size =\"8301568\"]\n  7 -> 10 [size =\"8301568\"]\n  7 -> 11 [size =\"8301568\"]\n  7 -> 12 [size =\"8301568\"]\n  8 [size=\"54438400\", alpha=\"0.14\", expect_size=\"21775360\"] \n  8 -> 9 [size =\"21775360\"]\n  8 -> 10 [size =\"21775360\"]\n  8 -> 11 [size =\"21775360\"]\n  8 -> 12 [size =\"21775360\"]\n  9 [size=\"75596800\", alpha=\"0.19\", expect_size=\"30238720\"] \n  9 -> 14 [size =\"30238720\"]\n  9 -> 15 [size =\"30238720\"]\n  9 -> 16 [size =\"30238720\"]\n  10 [size=\"38200320\", alpha=\"0.09\", expect_size=\"15280128\"] \n  10 -> 13 [size =\"15280128\"]\n  10 -> 14 [size =\"15280128\"]\n  10 -> 16 [size =\"15280128\"]\n  11 [size=\"99543040\", alpha=\"0.14\", expect_size=\"39817216\"] \n  11 -> 13 [size =\"39817216\"]\n  11 -> 14 [size =\"39817216\"]\n  11 -> 15 [size =\"39817216\"]\n  11 -> 16 [size =\"39817216\"]\n  12 [size=\"112291840\", alpha=\"0.10\", expect_size=\"44916736\"] \n  12 -> 13 [size =\"44916736\"]\n  12 -> 15 [size =\"44916736\"]\n  12 -> 16 [size =\"44916736\"]\n  13 [size=\"120949760\", alpha=\"0.04\", expect_size=\"48379904\"] \n  13 -> 17 [size =\"48379904\"]\n  13 -> 18 [size =\"48379904\"]\n  13 -> 19 [size =\"48379904\"]\n  13 -> 21 [size =\"48379904\"]\n  14 [size=\"101560320\", alpha=\"0.14\", expect_size=\"40624128\"] \n  14 -> 17 [size =\"40624128\"]\n  14 -> 21 [size =\"40624128\"]\n  15 [size=\"23063040\", alpha=\"0.00\", expect_size=\"9225216\"] \n  15 -> 18 [size =\"9225216\"]\n  15 -> 19 [size =\"9225216\"]\n  15 -> 20 [size =\"9225216\"]\n  16 [size=\"85194240\", alpha=\"0.14\", expect_size=\"34077696\"] \n  16 -> 17 [size =\"34077696\"]\n  17 [size=\"64156160\", alpha=\"0.17\", expect_size=\"25662464\"] \n  17 -> 22 [size =\"25662464\"]\n  17 -> 23 [size =\"25662464\"]\n  17 -> 25 [size =\"25662464\"]\n  17 -> 28 [size =\"25662464\"]\n  18 [size=\"61457920\", alpha=\"0.03\", expect_size=\"24583168\"] \n  18 -> 22 [size =\"24583168\"]\n  18 -> 23 [size =\"24583168\"]\n  18 -> 24 [size =\"24583168\"]\n  18 -> 25 [size =\"24583168\"]\n  18 -> 27 [size =\"24583168\"]\n  18 -> 28 [size =\"24583168\"]\n  18 -> 29 [size =\"24583168\"]\n  19 [size=\"26887680\", alpha=\"0.11\", expect_size=\"10755072\"] \n  19 -> 22 [size =\"10755072\"]\n  19 -> 24 [size =\"10755072\"]\n  19 -> 25 [size =\"10755072\"]\n  19 -> 26 [size =\"10755072\"]\n  19 -> 28 [size =\"10755072\"]\n  19 -> 29 [size =\"10755072\"]\n  19 -> 29 [size =\"10755072\"]\n  20 [size=\"23444480\", alpha=\"0.14\", expect_size=\"9377792\"] \n  20 -> 23 [size =\"9377792\"]\n  20 -> 25 [size =\"9377792\"]\n  20 -> 26 [size =\"9377792\"]\n  20 -> 29 [size =\"9377792\"]\n  21 [size=\"78225920\", alpha=\"0.15\", expect_size=\"31290368\"] \n  21 -> 23 [size =\"31290368\"]\n  21 -> 24 [size =\"31290368\"]\n  21 -> 25 [size =\"31290368\"]\n  21 -> 26 [size =\"31290368\"]\n  21 -> 28 [size =\"31290368\"]\n  22 [size=\"40709120\", alpha=\"0.14\", expect_size=\"16283648\"] \n  22 -> 31 [size =\"16283648\"]\n  22 -> 32 [size =\"16283648\"]\n  22 -> 33 [size =\"16283648\"]\n  22 -> 34 [size =\"16283648\"]\n  22 -> 35 [size =\"16283648\"]\n  22 -> 36 [size =\"16283648\"]\n  23 [size=\"100259840\", alpha=\"0.08\", expect_size=\"40103936\"] \n  23 -> 30 [size =\"40103936\"]\n  23 -> 31 [size =\"40103936\"]\n  23 -> 35 [size =\"40103936\"]\n  24 [size=\"122183680\", alpha=\"0.01\", expect_size=\"48873472\"] \n  24 -> 30 [size =\"48873472\"]\n  24 -> 31 [size =\"48873472\"]\n  24 -> 34 [size =\"48873472\"]\n  25 [size=\"88821760\", alpha=\"0.10\", expect_size=\"35528704\"] \n  25 -> 30 [size =\"35528704\"]\n  25 -> 31 [size =\"35528704\"]\n  25 -> 33 [size =\"35528704\"]\n  25 -> 34 [size =\"35528704\"]\n  25 -> 36 [size =\"35528704\"]\n  25 -> 37 [size =\"35528704\"]\n  26 [size=\"90493440\", alpha=\"0.10\", expect_size=\"36197376\"] \n  26 -> 30 [size =\"36197376\"]\n  26 -> 31 [size =\"36197376\"]\n  26 -> 32 [size =\"36197376\"]\n  26 -> 34 [size =\"36197376\"]\n  26 -> 36 [size =\"36197376\"]\n  27 [size=\"56773120\", alpha=\"0.12\", expect_size=\"22709248\"] \n  27 -> 30 [size =\"22709248\"]\n  27 -> 31 [size =\"22709248\"]\n  27 -> 32 [size =\"22709248\"]\n  27 -> 34 [size =\"22709248\"]\n  27 -> 36 [size =\"22709248\"]\n  28 [size=\"38300160\", alpha=\"0.01\", expect_size=\"15320064\"] \n  28 -> 30 [size =\"15320064\"]\n  28 -> 32 [size =\"15320064\"]\n  28 -> 34 [size =\"15320064\"]\n  28 -> 36 [size =\"15320064\"]\n  28 -> 36 [size =\"15320064\"]\n  29 [size=\"54389760\", alpha=\"0.00\", expect_size=\"21755904\"] \n  29 -> 30 [size =\"21755904\"]\n  29 -> 31 [size =\"21755904\"]\n  29 -> 32 [size =\"21755904\"]\n  29 -> 33 [size =\"21755904\"]\n  29 -> 35 [size =\"21755904\"]\n  29 -> 36 [size =\"21755904\"]\n  30 [size=\"119495680\", alpha=\"0.04\", expect_size=\"47798272\"] \n  30 -> 40 [size =\"47798272\"]\n  30 -> 41 [size =\"47798272\"]\n  31 [size=\"83637760\", alpha=\"0.02\", expect_size=\"33455104\"] \n  31 -> 39 [size =\"33455104\"]\n  31 -> 41 [size =\"33455104\"]\n  31 -> 42 [size =\"33455104\"]\n  31 -> 43 [size =\"33455104\"]\n  32 [size=\"51415040\", alpha=\"0.17\", expect_size=\"20566016\"] \n  32 -> 38 [size =\"20566016\"]\n  32 -> 42 [size =\"20566016\"]\n  32 -> 42 [size =\"20566016\"]\n  33 [size=\"18833920\", alpha=\"0.11\", expect_size=\"7533568\"] \n  33 -> 39 [size =\"7533568\"]\n  34 [size=\"64780800\", alpha=\"0.19\", expect_size=\"25912320\"] \n  34 -> 39 [size =\"25912320\"]\n  34 -> 40 [size =\"25912320\"]\n  34 -> 41 [size =\"25912320\"]\n  34 -> 42 [size =\"25912320\"]\n  35 [size=\"70154240\", alpha=\"0.09\", expect_size=\"28061696\"] \n  35 -> 38 [size =\"28061696\"]\n  35 -> 39 [size =\"28061696\"]\n  35 -> 40 [size =\"28061696\"]\n  35 -> 42 [size =\"28061696\"]\n  35 -> 43 [size =\"28061696\"]\n  36 [size=\"128885760\", alpha=\"0.12\", expect_size=\"51554304\"] \n  36 -> 38 [size =\"51554304\"]\n  36 -> 39 [size =\"51554304\"]\n  36 -> 41 [size =\"51554304\"]\n  36 -> 42 [size =\"51554304\"]\n  36 -> 43 [size =\"51554304\"]\n  37 [size=\"72473600\", alpha=\"0.02\", expect_size=\"28989440\"] \n  38 [size=\"26529280\", alpha=\"0.02\", expect_size=\"10611712\"] \n  38 -> 44 [size =\"10611712\"]\n  38 -> 48 [size =\"10611712\"]\n  38 -> 49 [size =\"10611712\"]\n  38 -> 50 [size =\"10611712\"]\n  39 [size=\"32386560\", alpha=\"0.03\", expect_size=\"12954624\"] \n  39 -> 44 [size =\"12954624\"]\n  39 -> 49 [size =\"12954624\"]\n  39 -> 50 [size =\"12954624\"]\n  40 [size=\"34575360\", alpha=\"0.06\", expect_size=\"13830144\"] \n  40 -> 44 [size =\"13830144\"]\n  40 -> 45 [size =\"13830144\"]\n  40 -> 47 [size =\"13830144\"]\n  40 -> 48 [size =\"13830144\"]\n  40 -> 49 [size =\"13830144\"]\n  40 -> 50 [size =\"13830144\"]\n  41 [size=\"58183680\", alpha=\"0.01\", expect_size=\"23273472\"] \n  41 -> 44 [size =\"23273472\"]\n  41 -> 46 [size =\"23273472\"]\n  41 -> 47 [size =\"23273472\"]\n  41 -> 49 [size =\"23273472\"]\n  41 -> 50 [size =\"23273472\"]\n  42 [size=\"71690240\", alpha=\"0.20\", expect_size=\"28676096\"] \n  42 -> 45 [size =\"28676096\"]\n  42 -> 46 [size =\"28676096\"]\n  42 -> 47 [size =\"28676096\"]\n  42 -> 48 [size =\"28676096\"]\n  42 -> 49 [size =\"28676096\"]\n  42 -> 50 [size =\"28676096\"]\n  43 [size=\"56309760\", alpha=\"0.13\", expect_size=\"22523904\"] \n  43 -> 44 [size =\"22523904\"]\n  43 -> 48 [size =\"22523904\"]\n  43 -> 49 [size =\"22523904\"]\n  43 -> 50 [size =\"22523904\"]\n  44 [size=\"119892480\", alpha=\"0.06\", expect_size=\"47956992\"] \n  45 [size=\"114959360\", alpha=\"0.11\", expect_size=\"45983744\"] \n  46 [size=\"51466240\", alpha=\"0.09\", expect_size=\"20586496\"] \n  47 [size=\"119470080\", alpha=\"0.14\", expect_size=\"47788032\"] \n  48 [size=\"16122880\", alpha=\"0.04\", expect_size=\"6449152\"] \n  49 [size=\"25707520\", alpha=\"0.01\", expect_size=\"10283008\"] \n  50 [size=\"44037120\", alpha=\"0.16\", expect_size=\"17614848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.585.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95488000\", alpha=\"0.03\", expect_size=\"28646400\"] \n  1 -> 12 [size =\"28646400\"]\n  2 [size=\"141445120\", alpha=\"0.04\", expect_size=\"42433536\"] \n  2 -> 8 [size =\"42433536\"]\n  2 -> 10 [size =\"42433536\"]\n  2 -> 12 [size =\"42433536\"]\n  3 [size=\"119729493\", alpha=\"0.04\", expect_size=\"35918848\"] \n  3 -> 10 [size =\"35918848\"]\n  3 -> 11 [size =\"35918848\"]\n  3 -> 13 [size =\"35918848\"]\n  4 [size=\"98829653\", alpha=\"0.13\", expect_size=\"29648896\"] \n  4 -> 9 [size =\"29648896\"]\n  4 -> 10 [size =\"29648896\"]\n  4 -> 11 [size =\"29648896\"]\n  4 -> 12 [size =\"29648896\"]\n  4 -> 13 [size =\"29648896\"]\n  5 [size=\"165239467\", alpha=\"0.09\", expect_size=\"49571840\"] \n  5 -> 10 [size =\"49571840\"]\n  5 -> 12 [size =\"49571840\"]\n  5 -> 13 [size =\"49571840\"]\n  6 [size=\"145281707\", alpha=\"0.16\", expect_size=\"43584512\"] \n  6 -> 7 [size =\"43584512\"]\n  6 -> 9 [size =\"43584512\"]\n  7 [size=\"93538987\", alpha=\"0.03\", expect_size=\"28061696\"] \n  7 -> 15 [size =\"28061696\"]\n  7 -> 17 [size =\"28061696\"]\n  7 -> 18 [size =\"28061696\"]\n  8 [size=\"92651520\", alpha=\"0.12\", expect_size=\"27795456\"] \n  8 -> 15 [size =\"27795456\"]\n  8 -> 16 [size =\"27795456\"]\n  8 -> 18 [size =\"27795456\"]\n  9 [size=\"172298240\", alpha=\"0.10\", expect_size=\"51689472\"] \n  9 -> 16 [size =\"51689472\"]\n  10 [size=\"101864107\", alpha=\"0.15\", expect_size=\"30559232\"] \n  10 -> 16 [size =\"30559232\"]\n  10 -> 17 [size =\"30559232\"]\n  11 [size=\"40758613\", alpha=\"0.12\", expect_size=\"12227584\"] \n  11 -> 17 [size =\"12227584\"]\n  12 [size=\"61016747\", alpha=\"0.05\", expect_size=\"18305024\"] \n  12 -> 14 [size =\"18305024\"]\n  12 -> 16 [size =\"18305024\"]\n  12 -> 17 [size =\"18305024\"]\n  13 [size=\"89183573\", alpha=\"0.17\", expect_size=\"26755072\"] \n  13 -> 14 [size =\"26755072\"]\n  13 -> 15 [size =\"26755072\"]\n  13 -> 16 [size =\"26755072\"]\n  13 -> 17 [size =\"26755072\"]\n  14 [size=\"120859307\", alpha=\"0.05\", expect_size=\"36257792\"] \n  14 -> 21 [size =\"36257792\"]\n  14 -> 25 [size =\"36257792\"]\n  15 [size=\"67570347\", alpha=\"0.03\", expect_size=\"20271104\"] \n  15 -> 19 [size =\"20271104\"]\n  15 -> 22 [size =\"20271104\"]\n  16 [size=\"136093013\", alpha=\"0.16\", expect_size=\"40827904\"] \n  16 -> 19 [size =\"40827904\"]\n  16 -> 22 [size =\"40827904\"]\n  16 -> 23 [size =\"40827904\"]\n  16 -> 26 [size =\"40827904\"]\n  17 [size=\"102106453\", alpha=\"0.07\", expect_size=\"30631936\"] \n  17 -> 20 [size =\"30631936\"]\n  17 -> 23 [size =\"30631936\"]\n  17 -> 24 [size =\"30631936\"]\n  18 [size=\"128228693\", alpha=\"0.07\", expect_size=\"38468608\"] \n  18 -> 20 [size =\"38468608\"]\n  18 -> 21 [size =\"38468608\"]\n  18 -> 22 [size =\"38468608\"]\n  18 -> 23 [size =\"38468608\"]\n  18 -> 24 [size =\"38468608\"]\n  19 [size=\"67307520\", alpha=\"0.12\", expect_size=\"20192256\"] \n  19 -> 28 [size =\"20192256\"]\n  19 -> 31 [size =\"20192256\"]\n  19 -> 32 [size =\"20192256\"]\n  20 [size=\"148565333\", alpha=\"0.10\", expect_size=\"44569600\"] \n  20 -> 28 [size =\"44569600\"]\n  20 -> 29 [size =\"44569600\"]\n  20 -> 31 [size =\"44569600\"]\n  20 -> 32 [size =\"44569600\"]\n  21 [size=\"106383360\", alpha=\"0.18\", expect_size=\"31915008\"] \n  21 -> 29 [size =\"31915008\"]\n  21 -> 32 [size =\"31915008\"]\n  22 [size=\"46291627\", alpha=\"0.02\", expect_size=\"13887488\"] \n  23 [size=\"84387840\", alpha=\"0.19\", expect_size=\"25316352\"] \n  23 -> 28 [size =\"25316352\"]\n  23 -> 29 [size =\"25316352\"]\n  23 -> 30 [size =\"25316352\"]\n  23 -> 31 [size =\"25316352\"]\n  24 [size=\"59340800\", alpha=\"0.07\", expect_size=\"17802240\"] \n  24 -> 28 [size =\"17802240\"]\n  24 -> 29 [size =\"17802240\"]\n  24 -> 31 [size =\"17802240\"]\n  24 -> 32 [size =\"17802240\"]\n  25 [size=\"99628373\", alpha=\"0.13\", expect_size=\"29888512\"] \n  25 -> 29 [size =\"29888512\"]\n  25 -> 29 [size =\"29888512\"]\n  25 -> 31 [size =\"29888512\"]\n  25 -> 32 [size =\"29888512\"]\n  26 [size=\"124566187\", alpha=\"0.15\", expect_size=\"37369856\"] \n  26 -> 27 [size =\"37369856\"]\n  26 -> 28 [size =\"37369856\"]\n  26 -> 31 [size =\"37369856\"]\n  26 -> 33 [size =\"37369856\"]\n  27 [size=\"95272960\", alpha=\"0.07\", expect_size=\"28581888\"] \n  27 -> 34 [size =\"28581888\"]\n  27 -> 37 [size =\"28581888\"]\n  27 -> 39 [size =\"28581888\"]\n  28 [size=\"147015680\", alpha=\"0.09\", expect_size=\"44104704\"] \n  28 -> 34 [size =\"44104704\"]\n  28 -> 40 [size =\"44104704\"]\n  29 [size=\"44431360\", alpha=\"0.10\", expect_size=\"13329408\"] \n  29 -> 35 [size =\"13329408\"]\n  29 -> 36 [size =\"13329408\"]\n  29 -> 38 [size =\"13329408\"]\n  29 -> 40 [size =\"13329408\"]\n  30 [size=\"137690453\", alpha=\"0.02\", expect_size=\"41307136\"] \n  30 -> 34 [size =\"41307136\"]\n  30 -> 36 [size =\"41307136\"]\n  30 -> 37 [size =\"41307136\"]\n  30 -> 40 [size =\"41307136\"]\n  31 [size=\"60108800\", alpha=\"0.17\", expect_size=\"18032640\"] \n  31 -> 35 [size =\"18032640\"]\n  31 -> 36 [size =\"18032640\"]\n  31 -> 40 [size =\"18032640\"]\n  32 [size=\"46987947\", alpha=\"0.17\", expect_size=\"14096384\"] \n  32 -> 36 [size =\"14096384\"]\n  32 -> 40 [size =\"14096384\"]\n  33 [size=\"65006933\", alpha=\"0.07\", expect_size=\"19502080\"] \n  33 -> 34 [size =\"19502080\"]\n  33 -> 39 [size =\"19502080\"]\n  34 [size=\"59142827\", alpha=\"0.10\", expect_size=\"17742848\"] \n  34 -> 42 [size =\"17742848\"]\n  34 -> 43 [size =\"17742848\"]\n  34 -> 45 [size =\"17742848\"]\n  35 [size=\"110742187\", alpha=\"0.19\", expect_size=\"33222656\"] \n  35 -> 41 [size =\"33222656\"]\n  36 [size=\"52998827\", alpha=\"0.03\", expect_size=\"15899648\"] \n  36 -> 41 [size =\"15899648\"]\n  37 [size=\"171011413\", alpha=\"0.18\", expect_size=\"51303424\"] \n  37 -> 41 [size =\"51303424\"]\n  37 -> 42 [size =\"51303424\"]\n  37 -> 43 [size =\"51303424\"]\n  38 [size=\"68983467\", alpha=\"0.07\", expect_size=\"20695040\"] \n  38 -> 41 [size =\"20695040\"]\n  38 -> 42 [size =\"20695040\"]\n  39 [size=\"136666453\", alpha=\"0.02\", expect_size=\"40999936\"] \n  39 -> 43 [size =\"40999936\"]\n  39 -> 44 [size =\"40999936\"]\n  40 [size=\"57023147\", alpha=\"0.15\", expect_size=\"17106944\"] \n  40 -> 43 [size =\"17106944\"]\n  41 [size=\"71734613\", alpha=\"0.18\", expect_size=\"21520384\"] \n  41 -> 46 [size =\"21520384\"]\n  41 -> 47 [size =\"21520384\"]\n  41 -> 49 [size =\"21520384\"]\n  41 -> 50 [size =\"21520384\"]\n  42 [size=\"46793387\", alpha=\"0.05\", expect_size=\"14038016\"] \n  42 -> 50 [size =\"14038016\"]\n  43 [size=\"25743360\", alpha=\"0.00\", expect_size=\"7723008\"] \n  43 -> 46 [size =\"7723008\"]\n  43 -> 48 [size =\"7723008\"]\n  44 [size=\"80298667\", alpha=\"0.01\", expect_size=\"24089600\"] \n  44 -> 50 [size =\"24089600\"]\n  45 [size=\"156552533\", alpha=\"0.13\", expect_size=\"46965760\"] \n  45 -> 46 [size =\"46965760\"]\n  45 -> 47 [size =\"46965760\"]\n  45 -> 49 [size =\"46965760\"]\n  46 [size=\"147319467\", alpha=\"0.18\", expect_size=\"44195840\"] \n  47 [size=\"171212800\", alpha=\"0.12\", expect_size=\"51363840\"] \n  48 [size=\"155576320\", alpha=\"0.04\", expect_size=\"46672896\"] \n  49 [size=\"53882880\", alpha=\"0.18\", expect_size=\"16164864\"] \n  50 [size=\"73243307\", alpha=\"0.08\", expect_size=\"21972992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.586.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67696640\", alpha=\"0.13\", expect_size=\"33848320\"] \n  1 -> 9 [size =\"33848320\"]\n  1 -> 13 [size =\"33848320\"]\n  2 [size=\"68145152\", alpha=\"0.06\", expect_size=\"34072576\"] \n  2 -> 8 [size =\"34072576\"]\n  2 -> 10 [size =\"34072576\"]\n  2 -> 12 [size =\"34072576\"]\n  3 [size=\"22947840\", alpha=\"0.11\", expect_size=\"11473920\"] \n  3 -> 9 [size =\"11473920\"]\n  4 [size=\"14651392\", alpha=\"0.20\", expect_size=\"7325696\"] \n  4 -> 10 [size =\"7325696\"]\n  4 -> 11 [size =\"7325696\"]\n  5 [size=\"65425408\", alpha=\"0.07\", expect_size=\"32712704\"] \n  5 -> 12 [size =\"32712704\"]\n  6 [size=\"62611456\", alpha=\"0.15\", expect_size=\"31305728\"] \n  6 -> 8 [size =\"31305728\"]\n  6 -> 9 [size =\"31305728\"]\n  6 -> 10 [size =\"31305728\"]\n  6 -> 12 [size =\"31305728\"]\n  7 [size=\"48248832\", alpha=\"0.07\", expect_size=\"24124416\"] \n  7 -> 9 [size =\"24124416\"]\n  7 -> 11 [size =\"24124416\"]\n  7 -> 13 [size =\"24124416\"]\n  8 [size=\"20119552\", alpha=\"0.00\", expect_size=\"10059776\"] \n  8 -> 14 [size =\"10059776\"]\n  8 -> 15 [size =\"10059776\"]\n  8 -> 19 [size =\"10059776\"]\n  9 [size=\"51445760\", alpha=\"0.01\", expect_size=\"25722880\"] \n  9 -> 14 [size =\"25722880\"]\n  9 -> 15 [size =\"25722880\"]\n  9 -> 16 [size =\"25722880\"]\n  9 -> 17 [size =\"25722880\"]\n  9 -> 18 [size =\"25722880\"]\n  10 [size=\"43862016\", alpha=\"0.20\", expect_size=\"21931008\"] \n  10 -> 14 [size =\"21931008\"]\n  10 -> 16 [size =\"21931008\"]\n  10 -> 17 [size =\"21931008\"]\n  10 -> 19 [size =\"21931008\"]\n  11 [size=\"15638528\", alpha=\"0.01\", expect_size=\"7819264\"] \n  11 -> 14 [size =\"7819264\"]\n  12 [size=\"76713984\", alpha=\"0.10\", expect_size=\"38356992\"] \n  12 -> 20 [size =\"38356992\"]\n  13 [size=\"103344128\", alpha=\"0.00\", expect_size=\"51672064\"] \n  13 -> 15 [size =\"51672064\"]\n  14 [size=\"62226432\", alpha=\"0.06\", expect_size=\"31113216\"] \n  14 -> 21 [size =\"31113216\"]\n  15 [size=\"60792832\", alpha=\"0.06\", expect_size=\"30396416\"] \n  15 -> 22 [size =\"30396416\"]\n  15 -> 26 [size =\"30396416\"]\n  16 [size=\"93024256\", alpha=\"0.19\", expect_size=\"46512128\"] \n  16 -> 21 [size =\"46512128\"]\n  16 -> 25 [size =\"46512128\"]\n  16 -> 26 [size =\"46512128\"]\n  17 [size=\"68792320\", alpha=\"0.17\", expect_size=\"34396160\"] \n  18 [size=\"102043648\", alpha=\"0.02\", expect_size=\"51021824\"] \n  18 -> 22 [size =\"51021824\"]\n  18 -> 26 [size =\"51021824\"]\n  19 [size=\"103581696\", alpha=\"0.04\", expect_size=\"51790848\"] \n  19 -> 22 [size =\"51790848\"]\n  19 -> 24 [size =\"51790848\"]\n  20 [size=\"14981120\", alpha=\"0.17\", expect_size=\"7490560\"] \n  20 -> 22 [size =\"7490560\"]\n  20 -> 23 [size =\"7490560\"]\n  21 [size=\"14907392\", alpha=\"0.03\", expect_size=\"7453696\"] \n  21 -> 27 [size =\"7453696\"]\n  21 -> 29 [size =\"7453696\"]\n  21 -> 32 [size =\"7453696\"]\n  21 -> 33 [size =\"7453696\"]\n  22 [size=\"20160512\", alpha=\"0.02\", expect_size=\"10080256\"] \n  22 -> 29 [size =\"10080256\"]\n  22 -> 30 [size =\"10080256\"]\n  22 -> 31 [size =\"10080256\"]\n  22 -> 33 [size =\"10080256\"]\n  23 [size=\"65802240\", alpha=\"0.02\", expect_size=\"32901120\"] \n  23 -> 29 [size =\"32901120\"]\n  23 -> 31 [size =\"32901120\"]\n  23 -> 32 [size =\"32901120\"]\n  23 -> 33 [size =\"32901120\"]\n  24 [size=\"66056192\", alpha=\"0.04\", expect_size=\"33028096\"] \n  24 -> 30 [size =\"33028096\"]\n  24 -> 31 [size =\"33028096\"]\n  25 [size=\"94926848\", alpha=\"0.18\", expect_size=\"47463424\"] \n  25 -> 28 [size =\"47463424\"]\n  25 -> 30 [size =\"47463424\"]\n  25 -> 31 [size =\"47463424\"]\n  26 [size=\"30595072\", alpha=\"0.02\", expect_size=\"15297536\"] \n  26 -> 27 [size =\"15297536\"]\n  26 -> 33 [size =\"15297536\"]\n  27 [size=\"24395776\", alpha=\"0.14\", expect_size=\"12197888\"] \n  27 -> 35 [size =\"12197888\"]\n  27 -> 36 [size =\"12197888\"]\n  27 -> 37 [size =\"12197888\"]\n  27 -> 38 [size =\"12197888\"]\n  27 -> 39 [size =\"12197888\"]\n  28 [size=\"103864320\", alpha=\"0.09\", expect_size=\"51932160\"] \n  28 -> 35 [size =\"51932160\"]\n  28 -> 38 [size =\"51932160\"]\n  29 [size=\"18399232\", alpha=\"0.12\", expect_size=\"9199616\"] \n  29 -> 37 [size =\"9199616\"]\n  30 [size=\"35186688\", alpha=\"0.02\", expect_size=\"17593344\"] \n  30 -> 39 [size =\"17593344\"]\n  31 [size=\"23035904\", alpha=\"0.14\", expect_size=\"11517952\"] \n  31 -> 36 [size =\"11517952\"]\n  31 -> 39 [size =\"11517952\"]\n  32 [size=\"39155712\", alpha=\"0.19\", expect_size=\"19577856\"] \n  32 -> 34 [size =\"19577856\"]\n  32 -> 36 [size =\"19577856\"]\n  32 -> 39 [size =\"19577856\"]\n  32 -> 40 [size =\"19577856\"]\n  33 [size=\"46837760\", alpha=\"0.04\", expect_size=\"23418880\"] \n  34 [size=\"58544128\", alpha=\"0.00\", expect_size=\"29272064\"] \n  34 -> 41 [size =\"29272064\"]\n  34 -> 46 [size =\"29272064\"]\n  35 [size=\"78438400\", alpha=\"0.07\", expect_size=\"39219200\"] \n  35 -> 41 [size =\"39219200\"]\n  35 -> 46 [size =\"39219200\"]\n  36 [size=\"67092480\", alpha=\"0.11\", expect_size=\"33546240\"] \n  36 -> 41 [size =\"33546240\"]\n  36 -> 46 [size =\"33546240\"]\n  37 [size=\"76627968\", alpha=\"0.07\", expect_size=\"38313984\"] \n  37 -> 44 [size =\"38313984\"]\n  38 [size=\"50442240\", alpha=\"0.03\", expect_size=\"25221120\"] \n  38 -> 41 [size =\"25221120\"]\n  38 -> 42 [size =\"25221120\"]\n  38 -> 43 [size =\"25221120\"]\n  38 -> 44 [size =\"25221120\"]\n  39 [size=\"92538880\", alpha=\"0.19\", expect_size=\"46269440\"] \n  39 -> 44 [size =\"46269440\"]\n  39 -> 45 [size =\"46269440\"]\n  39 -> 46 [size =\"46269440\"]\n  39 -> 47 [size =\"46269440\"]\n  40 [size=\"55136256\", alpha=\"0.15\", expect_size=\"27568128\"] \n  40 -> 44 [size =\"27568128\"]\n  41 [size=\"65984512\", alpha=\"0.13\", expect_size=\"32992256\"] \n  41 -> 49 [size =\"32992256\"]\n  42 [size=\"35868672\", alpha=\"0.13\", expect_size=\"17934336\"] \n  42 -> 48 [size =\"17934336\"]\n  42 -> 49 [size =\"17934336\"]\n  42 -> 50 [size =\"17934336\"]\n  43 [size=\"31014912\", alpha=\"0.04\", expect_size=\"15507456\"] \n  43 -> 49 [size =\"15507456\"]\n  44 [size=\"49911808\", alpha=\"0.07\", expect_size=\"24955904\"] \n  45 [size=\"49930240\", alpha=\"0.08\", expect_size=\"24965120\"] \n  46 [size=\"81375232\", alpha=\"0.13\", expect_size=\"40687616\"] \n  47 [size=\"38045696\", alpha=\"0.01\", expect_size=\"19022848\"] \n  47 -> 49 [size =\"19022848\"]\n  48 [size=\"72620032\", alpha=\"0.09\", expect_size=\"36310016\"] \n  49 [size=\"87916544\", alpha=\"0.19\", expect_size=\"43958272\"] \n  50 [size=\"82657280\", alpha=\"0.14\", expect_size=\"41328640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.587.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135393280\", alpha=\"0.19\", expect_size=\"40617984\"] \n  1 -> 2 [size =\"40617984\"]\n  2 [size=\"173827413\", alpha=\"0.01\", expect_size=\"52148224\"] \n  2 -> 3 [size =\"52148224\"]\n  3 [size=\"126412800\", alpha=\"0.07\", expect_size=\"37923840\"] \n  3 -> 4 [size =\"37923840\"]\n  4 [size=\"53056853\", alpha=\"0.17\", expect_size=\"15917056\"] \n  4 -> 5 [size =\"15917056\"]\n  5 [size=\"118145707\", alpha=\"0.05\", expect_size=\"35443712\"] \n  5 -> 6 [size =\"35443712\"]\n  6 [size=\"133638827\", alpha=\"0.15\", expect_size=\"40091648\"] \n  6 -> 7 [size =\"40091648\"]\n  7 [size=\"174271147\", alpha=\"0.09\", expect_size=\"52281344\"] \n  7 -> 8 [size =\"52281344\"]\n  8 [size=\"171772587\", alpha=\"0.02\", expect_size=\"51531776\"] \n  8 -> 9 [size =\"51531776\"]\n  9 [size=\"48312320\", alpha=\"0.17\", expect_size=\"14493696\"] \n  9 -> 10 [size =\"14493696\"]\n  10 [size=\"72557227\", alpha=\"0.04\", expect_size=\"21767168\"] \n  10 -> 11 [size =\"21767168\"]\n  11 [size=\"48226987\", alpha=\"0.05\", expect_size=\"14468096\"] \n  11 -> 12 [size =\"14468096\"]\n  12 [size=\"43274240\", alpha=\"0.02\", expect_size=\"12982272\"] \n  12 -> 13 [size =\"12982272\"]\n  13 [size=\"50681173\", alpha=\"0.06\", expect_size=\"15204352\"] \n  13 -> 14 [size =\"15204352\"]\n  14 [size=\"105813333\", alpha=\"0.14\", expect_size=\"31744000\"] \n  14 -> 15 [size =\"31744000\"]\n  15 [size=\"80803840\", alpha=\"0.10\", expect_size=\"24241152\"] \n  15 -> 16 [size =\"24241152\"]\n  16 [size=\"123228160\", alpha=\"0.10\", expect_size=\"36968448\"] \n  16 -> 17 [size =\"36968448\"]\n  17 [size=\"84206933\", alpha=\"0.19\", expect_size=\"25262080\"] \n  17 -> 18 [size =\"25262080\"]\n  18 [size=\"155555840\", alpha=\"0.11\", expect_size=\"46666752\"] \n  18 -> 19 [size =\"46666752\"]\n  19 [size=\"170147840\", alpha=\"0.03\", expect_size=\"51044352\"] \n  19 -> 20 [size =\"51044352\"]\n  20 [size=\"146578773\", alpha=\"0.14\", expect_size=\"43973632\"] \n  20 -> 21 [size =\"43973632\"]\n  21 [size=\"18148693\", alpha=\"0.00\", expect_size=\"5444608\"] \n  21 -> 22 [size =\"5444608\"]\n  22 [size=\"57016320\", alpha=\"0.06\", expect_size=\"17104896\"] \n  22 -> 23 [size =\"17104896\"]\n  23 [size=\"74164907\", alpha=\"0.06\", expect_size=\"22249472\"] \n  23 -> 24 [size =\"22249472\"]\n  24 [size=\"120459947\", alpha=\"0.10\", expect_size=\"36137984\"] \n  24 -> 25 [size =\"36137984\"]\n  25 [size=\"75335680\", alpha=\"0.08\", expect_size=\"22600704\"] \n  25 -> 26 [size =\"22600704\"]\n  26 [size=\"157614080\", alpha=\"0.19\", expect_size=\"47284224\"] \n  26 -> 27 [size =\"47284224\"]\n  27 [size=\"80793600\", alpha=\"0.11\", expect_size=\"24238080\"] \n  27 -> 28 [size =\"24238080\"]\n  28 [size=\"75871573\", alpha=\"0.03\", expect_size=\"22761472\"] \n  28 -> 29 [size =\"22761472\"]\n  29 [size=\"163874133\", alpha=\"0.18\", expect_size=\"49162240\"] \n  29 -> 30 [size =\"49162240\"]\n  30 [size=\"33054720\", alpha=\"0.00\", expect_size=\"9916416\"] \n  30 -> 31 [size =\"9916416\"]\n  31 [size=\"146391040\", alpha=\"0.07\", expect_size=\"43917312\"] \n  31 -> 32 [size =\"43917312\"]\n  32 [size=\"149937493\", alpha=\"0.16\", expect_size=\"44981248\"] \n  32 -> 33 [size =\"44981248\"]\n  33 [size=\"42765653\", alpha=\"0.10\", expect_size=\"12829696\"] \n  33 -> 34 [size =\"12829696\"]\n  34 [size=\"91101867\", alpha=\"0.15\", expect_size=\"27330560\"] \n  34 -> 35 [size =\"27330560\"]\n  35 [size=\"173236907\", alpha=\"0.08\", expect_size=\"51971072\"] \n  35 -> 36 [size =\"51971072\"]\n  36 [size=\"75270827\", alpha=\"0.14\", expect_size=\"22581248\"] \n  36 -> 37 [size =\"22581248\"]\n  37 [size=\"70652587\", alpha=\"0.09\", expect_size=\"21195776\"] \n  37 -> 38 [size =\"21195776\"]\n  38 [size=\"158890667\", alpha=\"0.02\", expect_size=\"47667200\"] \n  38 -> 39 [size =\"47667200\"]\n  39 [size=\"22425600\", alpha=\"0.14\", expect_size=\"6727680\"] \n  39 -> 40 [size =\"6727680\"]\n  40 [size=\"163952640\", alpha=\"0.02\", expect_size=\"49185792\"] \n  40 -> 41 [size =\"49185792\"]\n  41 [size=\"166690133\", alpha=\"0.11\", expect_size=\"50007040\"] \n  41 -> 42 [size =\"50007040\"]\n  42 [size=\"61399040\", alpha=\"0.04\", expect_size=\"18419712\"] \n  42 -> 43 [size =\"18419712\"]\n  43 [size=\"31156907\", alpha=\"0.05\", expect_size=\"9347072\"] \n  43 -> 44 [size =\"9347072\"]\n  44 [size=\"109172053\", alpha=\"0.19\", expect_size=\"32751616\"] \n  44 -> 45 [size =\"32751616\"]\n  45 [size=\"69212160\", alpha=\"0.20\", expect_size=\"20763648\"] \n  45 -> 46 [size =\"20763648\"]\n  46 [size=\"131891200\", alpha=\"0.19\", expect_size=\"39567360\"] \n  46 -> 47 [size =\"39567360\"]\n  47 [size=\"88388267\", alpha=\"0.06\", expect_size=\"26516480\"] \n  47 -> 48 [size =\"26516480\"]\n  48 [size=\"162723840\", alpha=\"0.00\", expect_size=\"48817152\"] \n  48 -> 49 [size =\"48817152\"]\n  49 [size=\"21114880\", alpha=\"0.13\", expect_size=\"6334464\"] \n  49 -> 50 [size =\"6334464\"]\n  50 [size=\"130809173\", alpha=\"0.08\", expect_size=\"39242752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.588.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56680960\", alpha=\"0.13\", expect_size=\"22672384\"] \n  1 -> 5 [size =\"22672384\"]\n  2 [size=\"17090560\", alpha=\"0.03\", expect_size=\"6836224\"] \n  2 -> 4 [size =\"6836224\"]\n  2 -> 5 [size =\"6836224\"]\n  3 [size=\"99816960\", alpha=\"0.14\", expect_size=\"39926784\"] \n  3 -> 4 [size =\"39926784\"]\n  4 [size=\"54609920\", alpha=\"0.06\", expect_size=\"21843968\"] \n  4 -> 6 [size =\"21843968\"]\n  5 [size=\"111511040\", alpha=\"0.13\", expect_size=\"44604416\"] \n  5 -> 6 [size =\"44604416\"]\n  5 -> 7 [size =\"44604416\"]\n  6 [size=\"70622720\", alpha=\"0.00\", expect_size=\"28249088\"] \n  6 -> 8 [size =\"28249088\"]\n  6 -> 9 [size =\"28249088\"]\n  7 [size=\"56238080\", alpha=\"0.08\", expect_size=\"22495232\"] \n  7 -> 9 [size =\"22495232\"]\n  8 [size=\"18652160\", alpha=\"0.09\", expect_size=\"7460864\"] \n  8 -> 10 [size =\"7460864\"]\n  8 -> 11 [size =\"7460864\"]\n  8 -> 12 [size =\"7460864\"]\n  9 [size=\"16857600\", alpha=\"0.06\", expect_size=\"6743040\"] \n  9 -> 11 [size =\"6743040\"]\n  9 -> 12 [size =\"6743040\"]\n  10 [size=\"109496320\", alpha=\"0.17\", expect_size=\"43798528\"] \n  10 -> 14 [size =\"43798528\"]\n  11 [size=\"124326400\", alpha=\"0.12\", expect_size=\"49730560\"] \n  12 [size=\"82470400\", alpha=\"0.02\", expect_size=\"32988160\"] \n  12 -> 13 [size =\"32988160\"]\n  12 -> 14 [size =\"32988160\"]\n  13 [size=\"100336640\", alpha=\"0.16\", expect_size=\"40134656\"] \n  13 -> 15 [size =\"40134656\"]\n  13 -> 16 [size =\"40134656\"]\n  14 [size=\"66350080\", alpha=\"0.10\", expect_size=\"26540032\"] \n  14 -> 15 [size =\"26540032\"]\n  14 -> 16 [size =\"26540032\"]\n  15 [size=\"102625280\", alpha=\"0.05\", expect_size=\"41050112\"] \n  15 -> 17 [size =\"41050112\"]\n  15 -> 18 [size =\"41050112\"]\n  15 -> 19 [size =\"41050112\"]\n  16 [size=\"59064320\", alpha=\"0.10\", expect_size=\"23625728\"] \n  16 -> 17 [size =\"23625728\"]\n  16 -> 18 [size =\"23625728\"]\n  17 [size=\"60311040\", alpha=\"0.12\", expect_size=\"24124416\"] \n  17 -> 20 [size =\"24124416\"]\n  17 -> 21 [size =\"24124416\"]\n  18 [size=\"107880960\", alpha=\"0.09\", expect_size=\"43152384\"] \n  18 -> 20 [size =\"43152384\"]\n  18 -> 22 [size =\"43152384\"]\n  19 [size=\"41085440\", alpha=\"0.17\", expect_size=\"16434176\"] \n  19 -> 20 [size =\"16434176\"]\n  20 [size=\"75112960\", alpha=\"0.08\", expect_size=\"30045184\"] \n  20 -> 24 [size =\"30045184\"]\n  21 [size=\"58800640\", alpha=\"0.06\", expect_size=\"23520256\"] \n  22 [size=\"128171520\", alpha=\"0.04\", expect_size=\"51268608\"] \n  22 -> 23 [size =\"51268608\"]\n  23 [size=\"24296960\", alpha=\"0.18\", expect_size=\"9718784\"] \n  23 -> 25 [size =\"9718784\"]\n  23 -> 26 [size =\"9718784\"]\n  24 [size=\"119393280\", alpha=\"0.18\", expect_size=\"47757312\"] \n  24 -> 25 [size =\"47757312\"]\n  24 -> 26 [size =\"47757312\"]\n  24 -> 27 [size =\"47757312\"]\n  25 [size=\"62679040\", alpha=\"0.15\", expect_size=\"25071616\"] \n  26 [size=\"94976000\", alpha=\"0.02\", expect_size=\"37990400\"] \n  26 -> 29 [size =\"37990400\"]\n  26 -> 30 [size =\"37990400\"]\n  27 [size=\"38471680\", alpha=\"0.16\", expect_size=\"15388672\"] \n  27 -> 28 [size =\"15388672\"]\n  28 [size=\"108756480\", alpha=\"0.11\", expect_size=\"43502592\"] \n  28 -> 32 [size =\"43502592\"]\n  29 [size=\"41320960\", alpha=\"0.07\", expect_size=\"16528384\"] \n  29 -> 32 [size =\"16528384\"]\n  30 [size=\"24593920\", alpha=\"0.19\", expect_size=\"9837568\"] \n  30 -> 31 [size =\"9837568\"]\n  30 -> 32 [size =\"9837568\"]\n  31 [size=\"70330880\", alpha=\"0.10\", expect_size=\"28132352\"] \n  31 -> 33 [size =\"28132352\"]\n  32 [size=\"104138240\", alpha=\"0.13\", expect_size=\"41655296\"] \n  32 -> 34 [size =\"41655296\"]\n  32 -> 35 [size =\"41655296\"]\n  33 [size=\"129999360\", alpha=\"0.10\", expect_size=\"51999744\"] \n  33 -> 36 [size =\"51999744\"]\n  33 -> 37 [size =\"51999744\"]\n  33 -> 38 [size =\"51999744\"]\n  34 [size=\"116666880\", alpha=\"0.17\", expect_size=\"46666752\"] \n  35 [size=\"105638400\", alpha=\"0.18\", expect_size=\"42255360\"] \n  35 -> 36 [size =\"42255360\"]\n  35 -> 37 [size =\"42255360\"]\n  35 -> 38 [size =\"42255360\"]\n  36 [size=\"77363200\", alpha=\"0.08\", expect_size=\"30945280\"] \n  36 -> 39 [size =\"30945280\"]\n  36 -> 40 [size =\"30945280\"]\n  36 -> 41 [size =\"30945280\"]\n  37 [size=\"89351680\", alpha=\"0.05\", expect_size=\"35740672\"] \n  37 -> 39 [size =\"35740672\"]\n  38 [size=\"66772480\", alpha=\"0.19\", expect_size=\"26708992\"] \n  38 -> 39 [size =\"26708992\"]\n  39 [size=\"15173120\", alpha=\"0.17\", expect_size=\"6069248\"] \n  39 -> 42 [size =\"6069248\"]\n  39 -> 43 [size =\"6069248\"]\n  40 [size=\"56266240\", alpha=\"0.06\", expect_size=\"22506496\"] \n  40 -> 42 [size =\"22506496\"]\n  41 [size=\"50516480\", alpha=\"0.02\", expect_size=\"20206592\"] \n  41 -> 42 [size =\"20206592\"]\n  41 -> 43 [size =\"20206592\"]\n  41 -> 44 [size =\"20206592\"]\n  42 [size=\"109140480\", alpha=\"0.18\", expect_size=\"43656192\"] \n  42 -> 46 [size =\"43656192\"]\n  43 [size=\"65576960\", alpha=\"0.16\", expect_size=\"26230784\"] \n  44 [size=\"125020160\", alpha=\"0.12\", expect_size=\"50008064\"] \n  44 -> 45 [size =\"50008064\"]\n  45 [size=\"104783360\", alpha=\"0.17\", expect_size=\"41913344\"] \n  45 -> 47 [size =\"41913344\"]\n  45 -> 48 [size =\"41913344\"]\n  46 [size=\"94387200\", alpha=\"0.15\", expect_size=\"37754880\"] \n  46 -> 47 [size =\"37754880\"]\n  46 -> 48 [size =\"37754880\"]\n  46 -> 49 [size =\"37754880\"]\n  47 [size=\"21821440\", alpha=\"0.17\", expect_size=\"8728576\"] \n  47 -> 50 [size =\"8728576\"]\n  48 [size=\"52259840\", alpha=\"0.16\", expect_size=\"20903936\"] \n  48 -> 50 [size =\"20903936\"]\n  49 [size=\"44544000\", alpha=\"0.20\", expect_size=\"17817600\"] \n  50 [size=\"26657280\", alpha=\"0.05\", expect_size=\"10662912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.589.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"165625173\", alpha=\"0.04\", expect_size=\"49687552\"] \n  2 [size=\"30931627\", alpha=\"0.12\", expect_size=\"9279488\"] \n  2 -> 10 [size =\"9279488\"]\n  2 -> 11 [size =\"9279488\"]\n  2 -> 12 [size =\"9279488\"]\n  3 [size=\"109537280\", alpha=\"0.03\", expect_size=\"32861184\"] \n  3 -> 12 [size =\"32861184\"]\n  4 [size=\"38526293\", alpha=\"0.19\", expect_size=\"11557888\"] \n  4 -> 7 [size =\"11557888\"]\n  4 -> 8 [size =\"11557888\"]\n  4 -> 9 [size =\"11557888\"]\n  4 -> 12 [size =\"11557888\"]\n  5 [size=\"20759893\", alpha=\"0.11\", expect_size=\"6227968\"] \n  5 -> 8 [size =\"6227968\"]\n  5 -> 10 [size =\"6227968\"]\n  6 [size=\"140796587\", alpha=\"0.12\", expect_size=\"42238976\"] \n  6 -> 7 [size =\"42238976\"]\n  6 -> 8 [size =\"42238976\"]\n  7 [size=\"43291307\", alpha=\"0.18\", expect_size=\"12987392\"] \n  7 -> 13 [size =\"12987392\"]\n  7 -> 15 [size =\"12987392\"]\n  7 -> 16 [size =\"12987392\"]\n  7 -> 17 [size =\"12987392\"]\n  7 -> 19 [size =\"12987392\"]\n  8 [size=\"94675627\", alpha=\"0.04\", expect_size=\"28402688\"] \n  8 -> 13 [size =\"28402688\"]\n  8 -> 14 [size =\"28402688\"]\n  8 -> 16 [size =\"28402688\"]\n  9 [size=\"143527253\", alpha=\"0.14\", expect_size=\"43058176\"] \n  9 -> 13 [size =\"43058176\"]\n  9 -> 16 [size =\"43058176\"]\n  9 -> 16 [size =\"43058176\"]\n  9 -> 17 [size =\"43058176\"]\n  9 -> 19 [size =\"43058176\"]\n  10 [size=\"68645547\", alpha=\"0.06\", expect_size=\"20593664\"] \n  10 -> 13 [size =\"20593664\"]\n  10 -> 14 [size =\"20593664\"]\n  10 -> 15 [size =\"20593664\"]\n  10 -> 17 [size =\"20593664\"]\n  10 -> 18 [size =\"20593664\"]\n  11 [size=\"64092160\", alpha=\"0.07\", expect_size=\"19227648\"] \n  11 -> 13 [size =\"19227648\"]\n  11 -> 16 [size =\"19227648\"]\n  11 -> 19 [size =\"19227648\"]\n  12 [size=\"96146773\", alpha=\"0.14\", expect_size=\"28844032\"] \n  12 -> 13 [size =\"28844032\"]\n  12 -> 15 [size =\"28844032\"]\n  12 -> 16 [size =\"28844032\"]\n  12 -> 17 [size =\"28844032\"]\n  13 [size=\"32054613\", alpha=\"0.19\", expect_size=\"9616384\"] \n  13 -> 20 [size =\"9616384\"]\n  13 -> 22 [size =\"9616384\"]\n  13 -> 23 [size =\"9616384\"]\n  13 -> 24 [size =\"9616384\"]\n  14 [size=\"56200533\", alpha=\"0.19\", expect_size=\"16860160\"] \n  14 -> 20 [size =\"16860160\"]\n  14 -> 23 [size =\"16860160\"]\n  14 -> 23 [size =\"16860160\"]\n  14 -> 24 [size =\"16860160\"]\n  15 [size=\"49182720\", alpha=\"0.06\", expect_size=\"14754816\"] \n  15 -> 20 [size =\"14754816\"]\n  15 -> 23 [size =\"14754816\"]\n  15 -> 24 [size =\"14754816\"]\n  15 -> 24 [size =\"14754816\"]\n  15 -> 25 [size =\"14754816\"]\n  16 [size=\"136942933\", alpha=\"0.06\", expect_size=\"41082880\"] \n  16 -> 20 [size =\"41082880\"]\n  16 -> 21 [size =\"41082880\"]\n  16 -> 23 [size =\"41082880\"]\n  16 -> 25 [size =\"41082880\"]\n  17 [size=\"76960427\", alpha=\"0.07\", expect_size=\"23088128\"] \n  17 -> 20 [size =\"23088128\"]\n  17 -> 23 [size =\"23088128\"]\n  17 -> 25 [size =\"23088128\"]\n  18 [size=\"62361600\", alpha=\"0.17\", expect_size=\"18708480\"] \n  18 -> 22 [size =\"18708480\"]\n  19 [size=\"97204907\", alpha=\"0.19\", expect_size=\"29161472\"] \n  19 -> 20 [size =\"29161472\"]\n  19 -> 22 [size =\"29161472\"]\n  19 -> 24 [size =\"29161472\"]\n  19 -> 25 [size =\"29161472\"]\n  20 [size=\"48018773\", alpha=\"0.10\", expect_size=\"14405632\"] \n  20 -> 26 [size =\"14405632\"]\n  20 -> 27 [size =\"14405632\"]\n  20 -> 29 [size =\"14405632\"]\n  20 -> 30 [size =\"14405632\"]\n  20 -> 32 [size =\"14405632\"]\n  21 [size=\"93941760\", alpha=\"0.19\", expect_size=\"28182528\"] \n  21 -> 26 [size =\"28182528\"]\n  21 -> 28 [size =\"28182528\"]\n  22 [size=\"150145707\", alpha=\"0.11\", expect_size=\"45043712\"] \n  22 -> 26 [size =\"45043712\"]\n  22 -> 27 [size =\"45043712\"]\n  22 -> 29 [size =\"45043712\"]\n  22 -> 32 [size =\"45043712\"]\n  23 [size=\"102096213\", alpha=\"0.14\", expect_size=\"30628864\"] \n  23 -> 26 [size =\"30628864\"]\n  23 -> 27 [size =\"30628864\"]\n  23 -> 29 [size =\"30628864\"]\n  23 -> 31 [size =\"30628864\"]\n  23 -> 32 [size =\"30628864\"]\n  24 [size=\"97901227\", alpha=\"0.20\", expect_size=\"29370368\"] \n  24 -> 26 [size =\"29370368\"]\n  24 -> 27 [size =\"29370368\"]\n  24 -> 29 [size =\"29370368\"]\n  24 -> 30 [size =\"29370368\"]\n  25 [size=\"88285867\", alpha=\"0.06\", expect_size=\"26485760\"] \n  25 -> 26 [size =\"26485760\"]\n  25 -> 27 [size =\"26485760\"]\n  25 -> 29 [size =\"26485760\"]\n  25 -> 30 [size =\"26485760\"]\n  25 -> 32 [size =\"26485760\"]\n  26 [size=\"132461227\", alpha=\"0.08\", expect_size=\"39738368\"] \n  26 -> 33 [size =\"39738368\"]\n  26 -> 35 [size =\"39738368\"]\n  26 -> 35 [size =\"39738368\"]\n  26 -> 38 [size =\"39738368\"]\n  27 [size=\"19220480\", alpha=\"0.13\", expect_size=\"5766144\"] \n  27 -> 35 [size =\"5766144\"]\n  27 -> 37 [size =\"5766144\"]\n  28 [size=\"77107200\", alpha=\"0.08\", expect_size=\"23132160\"] \n  28 -> 33 [size =\"23132160\"]\n  28 -> 34 [size =\"23132160\"]\n  29 [size=\"49660587\", alpha=\"0.19\", expect_size=\"14898176\"] \n  29 -> 33 [size =\"14898176\"]\n  30 [size=\"38980267\", alpha=\"0.16\", expect_size=\"11694080\"] \n  30 -> 33 [size =\"11694080\"]\n  30 -> 35 [size =\"11694080\"]\n  30 -> 36 [size =\"11694080\"]\n  31 [size=\"113817600\", alpha=\"0.20\", expect_size=\"34145280\"] \n  31 -> 34 [size =\"34145280\"]\n  31 -> 38 [size =\"34145280\"]\n  32 [size=\"107748693\", alpha=\"0.13\", expect_size=\"32324608\"] \n  32 -> 33 [size =\"32324608\"]\n  32 -> 34 [size =\"32324608\"]\n  32 -> 35 [size =\"32324608\"]\n  32 -> 38 [size =\"32324608\"]\n  33 [size=\"34232320\", alpha=\"0.09\", expect_size=\"10269696\"] \n  33 -> 39 [size =\"10269696\"]\n  33 -> 40 [size =\"10269696\"]\n  33 -> 42 [size =\"10269696\"]\n  33 -> 44 [size =\"10269696\"]\n  34 [size=\"142612480\", alpha=\"0.09\", expect_size=\"42783744\"] \n  34 -> 39 [size =\"42783744\"]\n  34 -> 40 [size =\"42783744\"]\n  34 -> 42 [size =\"42783744\"]\n  34 -> 44 [size =\"42783744\"]\n  34 -> 45 [size =\"42783744\"]\n  35 [size=\"139373227\", alpha=\"0.13\", expect_size=\"41811968\"] \n  35 -> 41 [size =\"41811968\"]\n  35 -> 42 [size =\"41811968\"]\n  35 -> 42 [size =\"41811968\"]\n  35 -> 43 [size =\"41811968\"]\n  36 [size=\"27794773\", alpha=\"0.13\", expect_size=\"8338432\"] \n  36 -> 39 [size =\"8338432\"]\n  36 -> 40 [size =\"8338432\"]\n  36 -> 42 [size =\"8338432\"]\n  36 -> 45 [size =\"8338432\"]\n  37 [size=\"88483840\", alpha=\"0.20\", expect_size=\"26545152\"] \n  37 -> 40 [size =\"26545152\"]\n  37 -> 43 [size =\"26545152\"]\n  38 [size=\"32689493\", alpha=\"0.13\", expect_size=\"9806848\"] \n  38 -> 39 [size =\"9806848\"]\n  38 -> 40 [size =\"9806848\"]\n  38 -> 42 [size =\"9806848\"]\n  39 [size=\"94890667\", alpha=\"0.15\", expect_size=\"28467200\"] \n  39 -> 47 [size =\"28467200\"]\n  39 -> 48 [size =\"28467200\"]\n  39 -> 49 [size =\"28467200\"]\n  40 [size=\"86568960\", alpha=\"0.02\", expect_size=\"25970688\"] \n  40 -> 46 [size =\"25970688\"]\n  40 -> 47 [size =\"25970688\"]\n  40 -> 49 [size =\"25970688\"]\n  40 -> 50 [size =\"25970688\"]\n  41 [size=\"58897067\", alpha=\"0.19\", expect_size=\"17669120\"] \n  41 -> 47 [size =\"17669120\"]\n  41 -> 47 [size =\"17669120\"]\n  41 -> 48 [size =\"17669120\"]\n  42 [size=\"58487467\", alpha=\"0.12\", expect_size=\"17546240\"] \n  42 -> 46 [size =\"17546240\"]\n  42 -> 47 [size =\"17546240\"]\n  43 [size=\"164014080\", alpha=\"0.16\", expect_size=\"49204224\"] \n  43 -> 49 [size =\"49204224\"]\n  44 [size=\"75485867\", alpha=\"0.10\", expect_size=\"22645760\"] \n  44 -> 49 [size =\"22645760\"]\n  45 [size=\"146199893\", alpha=\"0.14\", expect_size=\"43859968\"] \n  45 -> 46 [size =\"43859968\"]\n  45 -> 49 [size =\"43859968\"]\n  46 [size=\"93286400\", alpha=\"0.12\", expect_size=\"27985920\"] \n  47 [size=\"36215467\", alpha=\"0.10\", expect_size=\"10864640\"] \n  48 [size=\"34474667\", alpha=\"0.16\", expect_size=\"10342400\"] \n  49 [size=\"132952747\", alpha=\"0.06\", expect_size=\"39885824\"] \n  50 [size=\"96802133\", alpha=\"0.18\", expect_size=\"29040640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130201600\", alpha=\"0.12\", expect_size=\"39060480\"] \n  1 -> 2 [size =\"39060480\"]\n  2 [size=\"62283093\", alpha=\"0.08\", expect_size=\"18684928\"] \n  2 -> 3 [size =\"18684928\"]\n  3 [size=\"128395947\", alpha=\"0.04\", expect_size=\"38518784\"] \n  3 -> 4 [size =\"38518784\"]\n  4 [size=\"77021867\", alpha=\"0.08\", expect_size=\"23106560\"] \n  4 -> 5 [size =\"23106560\"]\n  5 [size=\"135823360\", alpha=\"0.07\", expect_size=\"40747008\"] \n  5 -> 6 [size =\"40747008\"]\n  6 [size=\"80517120\", alpha=\"0.05\", expect_size=\"24155136\"] \n  6 -> 7 [size =\"24155136\"]\n  7 [size=\"62334293\", alpha=\"0.03\", expect_size=\"18700288\"] \n  7 -> 8 [size =\"18700288\"]\n  8 [size=\"148295680\", alpha=\"0.09\", expect_size=\"44488704\"] \n  8 -> 9 [size =\"44488704\"]\n  9 [size=\"24890027\", alpha=\"0.14\", expect_size=\"7467008\"] \n  9 -> 10 [size =\"7467008\"]\n  10 [size=\"162696533\", alpha=\"0.16\", expect_size=\"48808960\"] \n  10 -> 11 [size =\"48808960\"]\n  11 [size=\"162573653\", alpha=\"0.20\", expect_size=\"48772096\"] \n  11 -> 12 [size =\"48772096\"]\n  12 [size=\"95877120\", alpha=\"0.03\", expect_size=\"28763136\"] \n  12 -> 13 [size =\"28763136\"]\n  13 [size=\"155668480\", alpha=\"0.03\", expect_size=\"46700544\"] \n  13 -> 14 [size =\"46700544\"]\n  14 [size=\"30873600\", alpha=\"0.17\", expect_size=\"9262080\"] \n  14 -> 15 [size =\"9262080\"]\n  15 [size=\"90726400\", alpha=\"0.11\", expect_size=\"27217920\"] \n  15 -> 16 [size =\"27217920\"]\n  16 [size=\"144428373\", alpha=\"0.14\", expect_size=\"43328512\"] \n  16 -> 17 [size =\"43328512\"]\n  17 [size=\"23398400\", alpha=\"0.04\", expect_size=\"7019520\"] \n  17 -> 18 [size =\"7019520\"]\n  18 [size=\"47025493\", alpha=\"0.16\", expect_size=\"14107648\"] \n  18 -> 19 [size =\"14107648\"]\n  19 [size=\"114196480\", alpha=\"0.19\", expect_size=\"34258944\"] \n  19 -> 20 [size =\"34258944\"]\n  20 [size=\"68177920\", alpha=\"0.12\", expect_size=\"20453376\"] \n  20 -> 21 [size =\"20453376\"]\n  21 [size=\"37352107\", alpha=\"0.19\", expect_size=\"11205632\"] \n  21 -> 22 [size =\"11205632\"]\n  22 [size=\"34928640\", alpha=\"0.11\", expect_size=\"10478592\"] \n  22 -> 23 [size =\"10478592\"]\n  23 [size=\"61364907\", alpha=\"0.18\", expect_size=\"18409472\"] \n  23 -> 24 [size =\"18409472\"]\n  24 [size=\"88671573\", alpha=\"0.12\", expect_size=\"26601472\"] \n  24 -> 25 [size =\"26601472\"]\n  25 [size=\"62187520\", alpha=\"0.01\", expect_size=\"18656256\"] \n  25 -> 26 [size =\"18656256\"]\n  26 [size=\"150531413\", alpha=\"0.18\", expect_size=\"45159424\"] \n  26 -> 27 [size =\"45159424\"]\n  27 [size=\"103628800\", alpha=\"0.01\", expect_size=\"31088640\"] \n  27 -> 28 [size =\"31088640\"]\n  28 [size=\"135389867\", alpha=\"0.00\", expect_size=\"40616960\"] \n  28 -> 29 [size =\"40616960\"]\n  29 [size=\"104628907\", alpha=\"0.01\", expect_size=\"31388672\"] \n  29 -> 30 [size =\"31388672\"]\n  30 [size=\"100457813\", alpha=\"0.20\", expect_size=\"30137344\"] \n  30 -> 31 [size =\"30137344\"]\n  31 [size=\"36526080\", alpha=\"0.17\", expect_size=\"10957824\"] \n  31 -> 32 [size =\"10957824\"]\n  32 [size=\"25569280\", alpha=\"0.05\", expect_size=\"7670784\"] \n  32 -> 33 [size =\"7670784\"]\n  33 [size=\"112394240\", alpha=\"0.09\", expect_size=\"33718272\"] \n  33 -> 34 [size =\"33718272\"]\n  34 [size=\"93347840\", alpha=\"0.16\", expect_size=\"28004352\"] \n  34 -> 35 [size =\"28004352\"]\n  35 [size=\"27979093\", alpha=\"0.12\", expect_size=\"8393728\"] \n  35 -> 36 [size =\"8393728\"]\n  36 [size=\"34638507\", alpha=\"0.04\", expect_size=\"10391552\"] \n  36 -> 37 [size =\"10391552\"]\n  37 [size=\"19080533\", alpha=\"0.17\", expect_size=\"5724160\"] \n  37 -> 38 [size =\"5724160\"]\n  38 [size=\"26170027\", alpha=\"0.13\", expect_size=\"7851008\"] \n  38 -> 39 [size =\"7851008\"]\n  39 [size=\"29433173\", alpha=\"0.02\", expect_size=\"8829952\"] \n  39 -> 40 [size =\"8829952\"]\n  40 [size=\"36293973\", alpha=\"0.18\", expect_size=\"10888192\"] \n  40 -> 41 [size =\"10888192\"]\n  41 [size=\"34682880\", alpha=\"0.16\", expect_size=\"10404864\"] \n  41 -> 42 [size =\"10404864\"]\n  42 [size=\"169700693\", alpha=\"0.16\", expect_size=\"50910208\"] \n  42 -> 43 [size =\"50910208\"]\n  43 [size=\"47892480\", alpha=\"0.01\", expect_size=\"14367744\"] \n  43 -> 44 [size =\"14367744\"]\n  44 [size=\"122030080\", alpha=\"0.16\", expect_size=\"36609024\"] \n  44 -> 45 [size =\"36609024\"]\n  45 [size=\"90931200\", alpha=\"0.16\", expect_size=\"27279360\"] \n  45 -> 46 [size =\"27279360\"]\n  46 [size=\"27856213\", alpha=\"0.14\", expect_size=\"8356864\"] \n  46 -> 47 [size =\"8356864\"]\n  47 [size=\"59753813\", alpha=\"0.02\", expect_size=\"17926144\"] \n  47 -> 48 [size =\"17926144\"]\n  48 [size=\"35266560\", alpha=\"0.05\", expect_size=\"10579968\"] \n  48 -> 49 [size =\"10579968\"]\n  49 [size=\"141226667\", alpha=\"0.20\", expect_size=\"42368000\"] \n  49 -> 50 [size =\"42368000\"]\n  50 [size=\"159791787\", alpha=\"0.05\", expect_size=\"47937536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.590.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41517056\", alpha=\"0.01\", expect_size=\"20758528\"] \n  1 -> 9 [size =\"20758528\"]\n  1 -> 14 [size =\"20758528\"]\n  2 [size=\"32864256\", alpha=\"0.18\", expect_size=\"16432128\"] \n  2 -> 10 [size =\"16432128\"]\n  2 -> 12 [size =\"16432128\"]\n  2 -> 13 [size =\"16432128\"]\n  3 [size=\"71129088\", alpha=\"0.11\", expect_size=\"35564544\"] \n  3 -> 9 [size =\"35564544\"]\n  3 -> 11 [size =\"35564544\"]\n  3 -> 13 [size =\"35564544\"]\n  3 -> 15 [size =\"35564544\"]\n  4 [size=\"29495296\", alpha=\"0.13\", expect_size=\"14747648\"] \n  4 -> 9 [size =\"14747648\"]\n  4 -> 11 [size =\"14747648\"]\n  4 -> 13 [size =\"14747648\"]\n  4 -> 16 [size =\"14747648\"]\n  5 [size=\"91273216\", alpha=\"0.13\", expect_size=\"45636608\"] \n  5 -> 8 [size =\"45636608\"]\n  5 -> 13 [size =\"45636608\"]\n  5 -> 14 [size =\"45636608\"]\n  6 [size=\"53460992\", alpha=\"0.11\", expect_size=\"26730496\"] \n  6 -> 14 [size =\"26730496\"]\n  7 [size=\"101500928\", alpha=\"0.12\", expect_size=\"50750464\"] \n  7 -> 8 [size =\"50750464\"]\n  7 -> 9 [size =\"50750464\"]\n  7 -> 10 [size =\"50750464\"]\n  7 -> 11 [size =\"50750464\"]\n  7 -> 14 [size =\"50750464\"]\n  7 -> 16 [size =\"50750464\"]\n  8 [size=\"56389632\", alpha=\"0.03\", expect_size=\"28194816\"] \n  8 -> 22 [size =\"28194816\"]\n  9 [size=\"29229056\", alpha=\"0.05\", expect_size=\"14614528\"] \n  9 -> 20 [size =\"14614528\"]\n  9 -> 23 [size =\"14614528\"]\n  10 [size=\"53436416\", alpha=\"0.13\", expect_size=\"26718208\"] \n  10 -> 21 [size =\"26718208\"]\n  10 -> 27 [size =\"26718208\"]\n  11 [size=\"89425920\", alpha=\"0.05\", expect_size=\"44712960\"] \n  11 -> 17 [size =\"44712960\"]\n  11 -> 20 [size =\"44712960\"]\n  12 [size=\"94730240\", alpha=\"0.19\", expect_size=\"47365120\"] \n  12 -> 18 [size =\"47365120\"]\n  12 -> 20 [size =\"47365120\"]\n  12 -> 26 [size =\"47365120\"]\n  12 -> 27 [size =\"47365120\"]\n  13 [size=\"86566912\", alpha=\"0.13\", expect_size=\"43283456\"] \n  13 -> 22 [size =\"43283456\"]\n  13 -> 24 [size =\"43283456\"]\n  13 -> 25 [size =\"43283456\"]\n  13 -> 26 [size =\"43283456\"]\n  14 [size=\"46336000\", alpha=\"0.14\", expect_size=\"23168000\"] \n  14 -> 20 [size =\"23168000\"]\n  14 -> 23 [size =\"23168000\"]\n  14 -> 24 [size =\"23168000\"]\n  14 -> 26 [size =\"23168000\"]\n  15 [size=\"15083520\", alpha=\"0.09\", expect_size=\"7541760\"] \n  15 -> 19 [size =\"7541760\"]\n  15 -> 21 [size =\"7541760\"]\n  15 -> 22 [size =\"7541760\"]\n  15 -> 23 [size =\"7541760\"]\n  15 -> 24 [size =\"7541760\"]\n  15 -> 26 [size =\"7541760\"]\n  15 -> 27 [size =\"7541760\"]\n  16 [size=\"78651392\", alpha=\"0.09\", expect_size=\"39325696\"] \n  16 -> 17 [size =\"39325696\"]\n  16 -> 19 [size =\"39325696\"]\n  16 -> 20 [size =\"39325696\"]\n  16 -> 24 [size =\"39325696\"]\n  16 -> 26 [size =\"39325696\"]\n  16 -> 26 [size =\"39325696\"]\n  16 -> 27 [size =\"39325696\"]\n  17 [size=\"34871296\", alpha=\"0.11\", expect_size=\"17435648\"] \n  17 -> 29 [size =\"17435648\"]\n  17 -> 31 [size =\"17435648\"]\n  17 -> 32 [size =\"17435648\"]\n  17 -> 33 [size =\"17435648\"]\n  17 -> 34 [size =\"17435648\"]\n  17 -> 35 [size =\"17435648\"]\n  17 -> 36 [size =\"17435648\"]\n  18 [size=\"91084800\", alpha=\"0.13\", expect_size=\"45542400\"] \n  18 -> 32 [size =\"45542400\"]\n  18 -> 33 [size =\"45542400\"]\n  18 -> 36 [size =\"45542400\"]\n  19 [size=\"103647232\", alpha=\"0.15\", expect_size=\"51823616\"] \n  19 -> 29 [size =\"51823616\"]\n  19 -> 30 [size =\"51823616\"]\n  19 -> 31 [size =\"51823616\"]\n  19 -> 36 [size =\"51823616\"]\n  20 [size=\"35028992\", alpha=\"0.00\", expect_size=\"17514496\"] \n  20 -> 30 [size =\"17514496\"]\n  20 -> 33 [size =\"17514496\"]\n  20 -> 35 [size =\"17514496\"]\n  20 -> 36 [size =\"17514496\"]\n  21 [size=\"98115584\", alpha=\"0.12\", expect_size=\"49057792\"] \n  21 -> 32 [size =\"49057792\"]\n  21 -> 36 [size =\"49057792\"]\n  22 [size=\"25810944\", alpha=\"0.08\", expect_size=\"12905472\"] \n  22 -> 28 [size =\"12905472\"]\n  22 -> 30 [size =\"12905472\"]\n  22 -> 33 [size =\"12905472\"]\n  22 -> 34 [size =\"12905472\"]\n  22 -> 35 [size =\"12905472\"]\n  23 [size=\"22177792\", alpha=\"0.17\", expect_size=\"11088896\"] \n  23 -> 30 [size =\"11088896\"]\n  23 -> 34 [size =\"11088896\"]\n  23 -> 35 [size =\"11088896\"]\n  24 [size=\"84774912\", alpha=\"0.10\", expect_size=\"42387456\"] \n  24 -> 30 [size =\"42387456\"]\n  24 -> 32 [size =\"42387456\"]\n  24 -> 33 [size =\"42387456\"]\n  24 -> 34 [size =\"42387456\"]\n  25 [size=\"55209984\", alpha=\"0.00\", expect_size=\"27604992\"] \n  25 -> 30 [size =\"27604992\"]\n  25 -> 32 [size =\"27604992\"]\n  25 -> 34 [size =\"27604992\"]\n  25 -> 35 [size =\"27604992\"]\n  26 [size=\"99893248\", alpha=\"0.20\", expect_size=\"49946624\"] \n  26 -> 29 [size =\"49946624\"]\n  26 -> 30 [size =\"49946624\"]\n  26 -> 33 [size =\"49946624\"]\n  26 -> 34 [size =\"49946624\"]\n  26 -> 36 [size =\"49946624\"]\n  27 [size=\"47609856\", alpha=\"0.18\", expect_size=\"23804928\"] \n  27 -> 29 [size =\"23804928\"]\n  27 -> 33 [size =\"23804928\"]\n  28 [size=\"97951744\", alpha=\"0.07\", expect_size=\"48975872\"] \n  28 -> 43 [size =\"48975872\"]\n  28 -> 44 [size =\"48975872\"]\n  28 -> 45 [size =\"48975872\"]\n  28 -> 48 [size =\"48975872\"]\n  29 [size=\"63733760\", alpha=\"0.19\", expect_size=\"31866880\"] \n  29 -> 41 [size =\"31866880\"]\n  29 -> 43 [size =\"31866880\"]\n  29 -> 44 [size =\"31866880\"]\n  30 [size=\"42412032\", alpha=\"0.00\", expect_size=\"21206016\"] \n  30 -> 38 [size =\"21206016\"]\n  30 -> 39 [size =\"21206016\"]\n  30 -> 41 [size =\"21206016\"]\n  30 -> 42 [size =\"21206016\"]\n  30 -> 44 [size =\"21206016\"]\n  30 -> 47 [size =\"21206016\"]\n  30 -> 48 [size =\"21206016\"]\n  31 [size=\"44161024\", alpha=\"0.19\", expect_size=\"22080512\"] \n  31 -> 37 [size =\"22080512\"]\n  31 -> 43 [size =\"22080512\"]\n  31 -> 44 [size =\"22080512\"]\n  31 -> 45 [size =\"22080512\"]\n  32 [size=\"100014080\", alpha=\"0.15\", expect_size=\"50007040\"] \n  32 -> 40 [size =\"50007040\"]\n  32 -> 43 [size =\"50007040\"]\n  32 -> 44 [size =\"50007040\"]\n  32 -> 47 [size =\"50007040\"]\n  32 -> 49 [size =\"50007040\"]\n  33 [size=\"43601920\", alpha=\"0.07\", expect_size=\"21800960\"] \n  33 -> 37 [size =\"21800960\"]\n  33 -> 38 [size =\"21800960\"]\n  33 -> 41 [size =\"21800960\"]\n  33 -> 42 [size =\"21800960\"]\n  33 -> 45 [size =\"21800960\"]\n  34 [size=\"29947904\", alpha=\"0.06\", expect_size=\"14973952\"] \n  34 -> 37 [size =\"14973952\"]\n  34 -> 38 [size =\"14973952\"]\n  34 -> 42 [size =\"14973952\"]\n  34 -> 45 [size =\"14973952\"]\n  34 -> 47 [size =\"14973952\"]\n  34 -> 48 [size =\"14973952\"]\n  34 -> 49 [size =\"14973952\"]\n  35 [size=\"78055424\", alpha=\"0.07\", expect_size=\"39027712\"] \n  35 -> 39 [size =\"39027712\"]\n  35 -> 40 [size =\"39027712\"]\n  35 -> 42 [size =\"39027712\"]\n  35 -> 43 [size =\"39027712\"]\n  35 -> 45 [size =\"39027712\"]\n  35 -> 47 [size =\"39027712\"]\n  35 -> 48 [size =\"39027712\"]\n  36 [size=\"79976448\", alpha=\"0.02\", expect_size=\"39988224\"] \n  36 -> 41 [size =\"39988224\"]\n  36 -> 43 [size =\"39988224\"]\n  36 -> 46 [size =\"39988224\"]\n  36 -> 47 [size =\"39988224\"]\n  37 [size=\"78680064\", alpha=\"0.02\", expect_size=\"39340032\"] \n  38 [size=\"70815744\", alpha=\"0.20\", expect_size=\"35407872\"] \n  39 [size=\"102283264\", alpha=\"0.17\", expect_size=\"51141632\"] \n  39 -> 50 [size =\"51141632\"]\n  40 [size=\"97456128\", alpha=\"0.19\", expect_size=\"48728064\"] \n  41 [size=\"99289088\", alpha=\"0.00\", expect_size=\"49644544\"] \n  42 [size=\"92348416\", alpha=\"0.04\", expect_size=\"46174208\"] \n  43 [size=\"66508800\", alpha=\"0.11\", expect_size=\"33254400\"] \n  44 [size=\"97849344\", alpha=\"0.13\", expect_size=\"48924672\"] \n  45 [size=\"33482752\", alpha=\"0.05\", expect_size=\"16741376\"] \n  45 -> 50 [size =\"16741376\"]\n  46 [size=\"66748416\", alpha=\"0.16\", expect_size=\"33374208\"] \n  47 [size=\"77070336\", alpha=\"0.15\", expect_size=\"38535168\"] \n  48 [size=\"88834048\", alpha=\"0.12\", expect_size=\"44417024\"] \n  49 [size=\"88272896\", alpha=\"0.00\", expect_size=\"44136448\"] \n  50 [size=\"74172416\", alpha=\"0.16\", expect_size=\"37086208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.591.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50790400\", alpha=\"0.06\", expect_size=\"20316160\"] \n  1 -> 4 [size =\"20316160\"]\n  1 -> 5 [size =\"20316160\"]\n  1 -> 6 [size =\"20316160\"]\n  2 [size=\"115660800\", alpha=\"0.08\", expect_size=\"46264320\"] \n  2 -> 5 [size =\"46264320\"]\n  2 -> 6 [size =\"46264320\"]\n  3 [size=\"128112640\", alpha=\"0.09\", expect_size=\"51245056\"] \n  4 [size=\"65812480\", alpha=\"0.04\", expect_size=\"26324992\"] \n  4 -> 7 [size =\"26324992\"]\n  4 -> 8 [size =\"26324992\"]\n  5 [size=\"48675840\", alpha=\"0.13\", expect_size=\"19470336\"] \n  5 -> 7 [size =\"19470336\"]\n  6 [size=\"24906240\", alpha=\"0.15\", expect_size=\"9962496\"] \n  6 -> 8 [size =\"9962496\"]\n  7 [size=\"109432320\", alpha=\"0.05\", expect_size=\"43772928\"] \n  7 -> 9 [size =\"43772928\"]\n  8 [size=\"27814400\", alpha=\"0.20\", expect_size=\"11125760\"] \n  8 -> 10 [size =\"11125760\"]\n  9 [size=\"105925120\", alpha=\"0.07\", expect_size=\"42370048\"] \n  9 -> 11 [size =\"42370048\"]\n  9 -> 12 [size =\"42370048\"]\n  9 -> 13 [size =\"42370048\"]\n  10 [size=\"123781120\", alpha=\"0.08\", expect_size=\"49512448\"] \n  10 -> 11 [size =\"49512448\"]\n  11 [size=\"92620800\", alpha=\"0.12\", expect_size=\"37048320\"] \n  11 -> 16 [size =\"37048320\"]\n  12 [size=\"126740480\", alpha=\"0.13\", expect_size=\"50696192\"] \n  12 -> 14 [size =\"50696192\"]\n  12 -> 15 [size =\"50696192\"]\n  13 [size=\"54947840\", alpha=\"0.18\", expect_size=\"21979136\"] \n  13 -> 14 [size =\"21979136\"]\n  13 -> 15 [size =\"21979136\"]\n  13 -> 16 [size =\"21979136\"]\n  14 [size=\"105134080\", alpha=\"0.12\", expect_size=\"42053632\"] \n  14 -> 18 [size =\"42053632\"]\n  15 [size=\"126566400\", alpha=\"0.17\", expect_size=\"50626560\"] \n  15 -> 17 [size =\"50626560\"]\n  15 -> 18 [size =\"50626560\"]\n  16 [size=\"87444480\", alpha=\"0.18\", expect_size=\"34977792\"] \n  16 -> 17 [size =\"34977792\"]\n  17 [size=\"57254400\", alpha=\"0.06\", expect_size=\"22901760\"] \n  17 -> 19 [size =\"22901760\"]\n  17 -> 20 [size =\"22901760\"]\n  17 -> 21 [size =\"22901760\"]\n  18 [size=\"85644800\", alpha=\"0.11\", expect_size=\"34257920\"] \n  18 -> 19 [size =\"34257920\"]\n  18 -> 21 [size =\"34257920\"]\n  19 [size=\"84728320\", alpha=\"0.06\", expect_size=\"33891328\"] \n  20 [size=\"123338240\", alpha=\"0.12\", expect_size=\"49335296\"] \n  20 -> 22 [size =\"49335296\"]\n  20 -> 23 [size =\"49335296\"]\n  21 [size=\"54827520\", alpha=\"0.04\", expect_size=\"21931008\"] \n  22 [size=\"126730240\", alpha=\"0.14\", expect_size=\"50692096\"] \n  22 -> 24 [size =\"50692096\"]\n  22 -> 25 [size =\"50692096\"]\n  23 [size=\"83898880\", alpha=\"0.03\", expect_size=\"33559552\"] \n  24 [size=\"69621760\", alpha=\"0.01\", expect_size=\"27848704\"] \n  24 -> 26 [size =\"27848704\"]\n  24 -> 27 [size =\"27848704\"]\n  25 [size=\"24468480\", alpha=\"0.05\", expect_size=\"9787392\"] \n  26 [size=\"122910720\", alpha=\"0.12\", expect_size=\"49164288\"] \n  26 -> 28 [size =\"49164288\"]\n  27 [size=\"113349120\", alpha=\"0.14\", expect_size=\"45339648\"] \n  27 -> 28 [size =\"45339648\"]\n  27 -> 29 [size =\"45339648\"]\n  27 -> 30 [size =\"45339648\"]\n  28 [size=\"31592960\", alpha=\"0.19\", expect_size=\"12637184\"] \n  28 -> 31 [size =\"12637184\"]\n  28 -> 33 [size =\"12637184\"]\n  29 [size=\"97994240\", alpha=\"0.20\", expect_size=\"39197696\"] \n  29 -> 31 [size =\"39197696\"]\n  29 -> 33 [size =\"39197696\"]\n  30 [size=\"17029120\", alpha=\"0.19\", expect_size=\"6811648\"] \n  30 -> 32 [size =\"6811648\"]\n  30 -> 33 [size =\"6811648\"]\n  31 [size=\"88686080\", alpha=\"0.12\", expect_size=\"35474432\"] \n  31 -> 35 [size =\"35474432\"]\n  31 -> 36 [size =\"35474432\"]\n  32 [size=\"114716160\", alpha=\"0.04\", expect_size=\"45886464\"] \n  32 -> 35 [size =\"45886464\"]\n  33 [size=\"79713280\", alpha=\"0.03\", expect_size=\"31885312\"] \n  33 -> 34 [size =\"31885312\"]\n  34 [size=\"98680320\", alpha=\"0.18\", expect_size=\"39472128\"] \n  34 -> 37 [size =\"39472128\"]\n  34 -> 38 [size =\"39472128\"]\n  35 [size=\"106362880\", alpha=\"0.12\", expect_size=\"42545152\"] \n  36 [size=\"20364800\", alpha=\"0.19\", expect_size=\"8145920\"] \n  37 [size=\"88414720\", alpha=\"0.13\", expect_size=\"35365888\"] \n  37 -> 39 [size =\"35365888\"]\n  38 [size=\"52943360\", alpha=\"0.20\", expect_size=\"21177344\"] \n  38 -> 40 [size =\"21177344\"]\n  39 [size=\"46627840\", alpha=\"0.19\", expect_size=\"18651136\"] \n  40 [size=\"44318720\", alpha=\"0.16\", expect_size=\"17727488\"] \n  40 -> 41 [size =\"17727488\"]\n  40 -> 42 [size =\"17727488\"]\n  41 [size=\"38730240\", alpha=\"0.00\", expect_size=\"15492096\"] \n  41 -> 43 [size =\"15492096\"]\n  41 -> 44 [size =\"15492096\"]\n  41 -> 45 [size =\"15492096\"]\n  42 [size=\"109376000\", alpha=\"0.04\", expect_size=\"43750400\"] \n  42 -> 43 [size =\"43750400\"]\n  42 -> 44 [size =\"43750400\"]\n  42 -> 45 [size =\"43750400\"]\n  43 [size=\"15994880\", alpha=\"0.20\", expect_size=\"6397952\"] \n  43 -> 47 [size =\"6397952\"]\n  44 [size=\"36357120\", alpha=\"0.05\", expect_size=\"14542848\"] \n  44 -> 46 [size =\"14542848\"]\n  44 -> 47 [size =\"14542848\"]\n  45 [size=\"26562560\", alpha=\"0.12\", expect_size=\"10625024\"] \n  46 [size=\"100072960\", alpha=\"0.18\", expect_size=\"40029184\"] \n  46 -> 48 [size =\"40029184\"]\n  46 -> 49 [size =\"40029184\"]\n  46 -> 50 [size =\"40029184\"]\n  47 [size=\"95293440\", alpha=\"0.01\", expect_size=\"38117376\"] \n  47 -> 48 [size =\"38117376\"]\n  47 -> 49 [size =\"38117376\"]\n  47 -> 50 [size =\"38117376\"]\n  48 [size=\"56373760\", alpha=\"0.07\", expect_size=\"22549504\"] \n  49 [size=\"55856640\", alpha=\"0.07\", expect_size=\"22342656\"] \n  50 [size=\"47395840\", alpha=\"0.08\", expect_size=\"18958336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.592.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116774400\", alpha=\"0.18\", expect_size=\"46709760\"] \n  1 -> 4 [size =\"46709760\"]\n  1 -> 5 [size =\"46709760\"]\n  2 [size=\"24345600\", alpha=\"0.19\", expect_size=\"9738240\"] \n  2 -> 4 [size =\"9738240\"]\n  2 -> 5 [size =\"9738240\"]\n  3 [size=\"107760640\", alpha=\"0.00\", expect_size=\"43104256\"] \n  4 [size=\"47078400\", alpha=\"0.04\", expect_size=\"18831360\"] \n  4 -> 7 [size =\"18831360\"]\n  4 -> 8 [size =\"18831360\"]\n  5 [size=\"128230400\", alpha=\"0.17\", expect_size=\"51292160\"] \n  5 -> 6 [size =\"51292160\"]\n  5 -> 7 [size =\"51292160\"]\n  5 -> 8 [size =\"51292160\"]\n  6 [size=\"100487680\", alpha=\"0.12\", expect_size=\"40195072\"] \n  6 -> 10 [size =\"40195072\"]\n  6 -> 11 [size =\"40195072\"]\n  7 [size=\"43491840\", alpha=\"0.13\", expect_size=\"17396736\"] \n  7 -> 9 [size =\"17396736\"]\n  7 -> 10 [size =\"17396736\"]\n  8 [size=\"82608640\", alpha=\"0.03\", expect_size=\"33043456\"] \n  8 -> 9 [size =\"33043456\"]\n  9 [size=\"65167360\", alpha=\"0.02\", expect_size=\"26066944\"] \n  9 -> 12 [size =\"26066944\"]\n  9 -> 13 [size =\"26066944\"]\n  10 [size=\"25978880\", alpha=\"0.14\", expect_size=\"10391552\"] \n  11 [size=\"68183040\", alpha=\"0.06\", expect_size=\"27273216\"] \n  11 -> 12 [size =\"27273216\"]\n  12 [size=\"56217600\", alpha=\"0.03\", expect_size=\"22487040\"] \n  12 -> 14 [size =\"22487040\"]\n  12 -> 16 [size =\"22487040\"]\n  13 [size=\"48570880\", alpha=\"0.09\", expect_size=\"19428352\"] \n  13 -> 15 [size =\"19428352\"]\n  13 -> 16 [size =\"19428352\"]\n  14 [size=\"49876480\", alpha=\"0.03\", expect_size=\"19950592\"] \n  15 [size=\"71866880\", alpha=\"0.16\", expect_size=\"28746752\"] \n  15 -> 17 [size =\"28746752\"]\n  15 -> 18 [size =\"28746752\"]\n  16 [size=\"56821760\", alpha=\"0.11\", expect_size=\"22728704\"] \n  16 -> 17 [size =\"22728704\"]\n  16 -> 18 [size =\"22728704\"]\n  16 -> 19 [size =\"22728704\"]\n  17 [size=\"129802240\", alpha=\"0.03\", expect_size=\"51920896\"] \n  17 -> 20 [size =\"51920896\"]\n  17 -> 22 [size =\"51920896\"]\n  18 [size=\"87244800\", alpha=\"0.13\", expect_size=\"34897920\"] \n  18 -> 21 [size =\"34897920\"]\n  19 [size=\"104821760\", alpha=\"0.09\", expect_size=\"41928704\"] \n  19 -> 22 [size =\"41928704\"]\n  20 [size=\"117045760\", alpha=\"0.13\", expect_size=\"46818304\"] \n  20 -> 24 [size =\"46818304\"]\n  21 [size=\"81185280\", alpha=\"0.15\", expect_size=\"32474112\"] \n  21 -> 23 [size =\"32474112\"]\n  22 [size=\"116111360\", alpha=\"0.19\", expect_size=\"46444544\"] \n  22 -> 23 [size =\"46444544\"]\n  23 [size=\"14635520\", alpha=\"0.18\", expect_size=\"5854208\"] \n  23 -> 26 [size =\"5854208\"]\n  24 [size=\"66795520\", alpha=\"0.04\", expect_size=\"26718208\"] \n  24 -> 25 [size =\"26718208\"]\n  25 [size=\"82250240\", alpha=\"0.08\", expect_size=\"32900096\"] \n  25 -> 28 [size =\"32900096\"]\n  25 -> 29 [size =\"32900096\"]\n  26 [size=\"61606400\", alpha=\"0.08\", expect_size=\"24642560\"] \n  26 -> 27 [size =\"24642560\"]\n  26 -> 29 [size =\"24642560\"]\n  27 [size=\"126653440\", alpha=\"0.13\", expect_size=\"50661376\"] \n  27 -> 30 [size =\"50661376\"]\n  27 -> 31 [size =\"50661376\"]\n  27 -> 32 [size =\"50661376\"]\n  28 [size=\"28974080\", alpha=\"0.10\", expect_size=\"11589632\"] \n  28 -> 31 [size =\"11589632\"]\n  28 -> 32 [size =\"11589632\"]\n  29 [size=\"103964160\", alpha=\"0.15\", expect_size=\"41585664\"] \n  29 -> 32 [size =\"41585664\"]\n  30 [size=\"40893440\", alpha=\"0.03\", expect_size=\"16357376\"] \n  30 -> 34 [size =\"16357376\"]\n  30 -> 35 [size =\"16357376\"]\n  31 [size=\"119813120\", alpha=\"0.20\", expect_size=\"47925248\"] \n  31 -> 33 [size =\"47925248\"]\n  31 -> 34 [size =\"47925248\"]\n  32 [size=\"90493440\", alpha=\"0.04\", expect_size=\"36197376\"] \n  32 -> 34 [size =\"36197376\"]\n  33 [size=\"82142720\", alpha=\"0.14\", expect_size=\"32857088\"] \n  33 -> 36 [size =\"32857088\"]\n  33 -> 37 [size =\"32857088\"]\n  34 [size=\"71449600\", alpha=\"0.11\", expect_size=\"28579840\"] \n  35 [size=\"92387840\", alpha=\"0.17\", expect_size=\"36955136\"] \n  35 -> 36 [size =\"36955136\"]\n  35 -> 37 [size =\"36955136\"]\n  36 [size=\"24153600\", alpha=\"0.11\", expect_size=\"9661440\"] \n  36 -> 38 [size =\"9661440\"]\n  36 -> 39 [size =\"9661440\"]\n  36 -> 40 [size =\"9661440\"]\n  37 [size=\"72092160\", alpha=\"0.05\", expect_size=\"28836864\"] \n  37 -> 38 [size =\"28836864\"]\n  37 -> 39 [size =\"28836864\"]\n  37 -> 40 [size =\"28836864\"]\n  38 [size=\"30661120\", alpha=\"0.11\", expect_size=\"12264448\"] \n  38 -> 41 [size =\"12264448\"]\n  39 [size=\"87326720\", alpha=\"0.13\", expect_size=\"34930688\"] \n  39 -> 42 [size =\"34930688\"]\n  39 -> 43 [size =\"34930688\"]\n  40 [size=\"58222080\", alpha=\"0.12\", expect_size=\"23288832\"] \n  40 -> 41 [size =\"23288832\"]\n  41 [size=\"74183680\", alpha=\"0.03\", expect_size=\"29673472\"] \n  41 -> 44 [size =\"29673472\"]\n  41 -> 45 [size =\"29673472\"]\n  42 [size=\"72320000\", alpha=\"0.12\", expect_size=\"28928000\"] \n  42 -> 45 [size =\"28928000\"]\n  43 [size=\"95746560\", alpha=\"0.01\", expect_size=\"38298624\"] \n  43 -> 45 [size =\"38298624\"]\n  44 [size=\"61962240\", alpha=\"0.18\", expect_size=\"24784896\"] \n  44 -> 46 [size =\"24784896\"]\n  44 -> 47 [size =\"24784896\"]\n  44 -> 48 [size =\"24784896\"]\n  45 [size=\"125701120\", alpha=\"0.08\", expect_size=\"50280448\"] \n  45 -> 46 [size =\"50280448\"]\n  45 -> 47 [size =\"50280448\"]\n  45 -> 48 [size =\"50280448\"]\n  46 [size=\"109793280\", alpha=\"0.06\", expect_size=\"43917312\"] \n  46 -> 49 [size =\"43917312\"]\n  46 -> 50 [size =\"43917312\"]\n  47 [size=\"57955840\", alpha=\"0.03\", expect_size=\"23182336\"] \n  47 -> 50 [size =\"23182336\"]\n  48 [size=\"86883840\", alpha=\"0.02\", expect_size=\"34753536\"] \n  48 -> 49 [size =\"34753536\"]\n  48 -> 50 [size =\"34753536\"]\n  49 [size=\"34785280\", alpha=\"0.17\", expect_size=\"13914112\"] \n  50 [size=\"111339520\", alpha=\"0.17\", expect_size=\"44535808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.593.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90550272\", alpha=\"0.02\", expect_size=\"45275136\"] \n  1 -> 2 [size =\"45275136\"]\n  2 [size=\"91609088\", alpha=\"0.20\", expect_size=\"45804544\"] \n  2 -> 3 [size =\"45804544\"]\n  3 [size=\"70250496\", alpha=\"0.08\", expect_size=\"35125248\"] \n  3 -> 4 [size =\"35125248\"]\n  4 [size=\"69169152\", alpha=\"0.17\", expect_size=\"34584576\"] \n  4 -> 5 [size =\"34584576\"]\n  5 [size=\"12222464\", alpha=\"0.11\", expect_size=\"6111232\"] \n  5 -> 6 [size =\"6111232\"]\n  6 [size=\"41060352\", alpha=\"0.20\", expect_size=\"20530176\"] \n  6 -> 7 [size =\"20530176\"]\n  7 [size=\"45703168\", alpha=\"0.01\", expect_size=\"22851584\"] \n  7 -> 8 [size =\"22851584\"]\n  8 [size=\"98146304\", alpha=\"0.19\", expect_size=\"49073152\"] \n  8 -> 9 [size =\"49073152\"]\n  9 [size=\"24266752\", alpha=\"0.06\", expect_size=\"12133376\"] \n  9 -> 10 [size =\"12133376\"]\n  10 [size=\"100894720\", alpha=\"0.15\", expect_size=\"50447360\"] \n  10 -> 11 [size =\"50447360\"]\n  11 [size=\"59881472\", alpha=\"0.19\", expect_size=\"29940736\"] \n  11 -> 12 [size =\"29940736\"]\n  12 [size=\"67743744\", alpha=\"0.15\", expect_size=\"33871872\"] \n  12 -> 13 [size =\"33871872\"]\n  13 [size=\"66834432\", alpha=\"0.16\", expect_size=\"33417216\"] \n  13 -> 14 [size =\"33417216\"]\n  14 [size=\"10893312\", alpha=\"0.13\", expect_size=\"5446656\"] \n  14 -> 15 [size =\"5446656\"]\n  15 [size=\"90433536\", alpha=\"0.14\", expect_size=\"45216768\"] \n  15 -> 16 [size =\"45216768\"]\n  16 [size=\"50083840\", alpha=\"0.16\", expect_size=\"25041920\"] \n  16 -> 17 [size =\"25041920\"]\n  17 [size=\"49416192\", alpha=\"0.09\", expect_size=\"24708096\"] \n  17 -> 18 [size =\"24708096\"]\n  18 [size=\"53995520\", alpha=\"0.10\", expect_size=\"26997760\"] \n  18 -> 19 [size =\"26997760\"]\n  19 [size=\"48502784\", alpha=\"0.19\", expect_size=\"24251392\"] \n  19 -> 20 [size =\"24251392\"]\n  20 [size=\"74702848\", alpha=\"0.01\", expect_size=\"37351424\"] \n  20 -> 21 [size =\"37351424\"]\n  21 [size=\"50167808\", alpha=\"0.20\", expect_size=\"25083904\"] \n  21 -> 22 [size =\"25083904\"]\n  22 [size=\"45803520\", alpha=\"0.16\", expect_size=\"22901760\"] \n  22 -> 23 [size =\"22901760\"]\n  23 [size=\"23277568\", alpha=\"0.05\", expect_size=\"11638784\"] \n  23 -> 24 [size =\"11638784\"]\n  24 [size=\"98779136\", alpha=\"0.06\", expect_size=\"49389568\"] \n  24 -> 25 [size =\"49389568\"]\n  25 [size=\"67307520\", alpha=\"0.07\", expect_size=\"33653760\"] \n  25 -> 26 [size =\"33653760\"]\n  26 [size=\"38445056\", alpha=\"0.15\", expect_size=\"19222528\"] \n  26 -> 27 [size =\"19222528\"]\n  27 [size=\"18288640\", alpha=\"0.11\", expect_size=\"9144320\"] \n  27 -> 28 [size =\"9144320\"]\n  28 [size=\"58955776\", alpha=\"0.05\", expect_size=\"29477888\"] \n  28 -> 29 [size =\"29477888\"]\n  29 [size=\"11216896\", alpha=\"0.02\", expect_size=\"5608448\"] \n  29 -> 30 [size =\"5608448\"]\n  30 [size=\"100964352\", alpha=\"0.18\", expect_size=\"50482176\"] \n  30 -> 31 [size =\"50482176\"]\n  31 [size=\"10881024\", alpha=\"0.04\", expect_size=\"5440512\"] \n  31 -> 32 [size =\"5440512\"]\n  32 [size=\"104146944\", alpha=\"0.03\", expect_size=\"52073472\"] \n  32 -> 33 [size =\"52073472\"]\n  33 [size=\"84400128\", alpha=\"0.14\", expect_size=\"42200064\"] \n  33 -> 34 [size =\"42200064\"]\n  34 [size=\"11403264\", alpha=\"0.05\", expect_size=\"5701632\"] \n  34 -> 35 [size =\"5701632\"]\n  35 [size=\"38215680\", alpha=\"0.12\", expect_size=\"19107840\"] \n  35 -> 36 [size =\"19107840\"]\n  36 [size=\"72202240\", alpha=\"0.08\", expect_size=\"36101120\"] \n  36 -> 37 [size =\"36101120\"]\n  37 [size=\"49565696\", alpha=\"0.13\", expect_size=\"24782848\"] \n  37 -> 38 [size =\"24782848\"]\n  38 [size=\"99897344\", alpha=\"0.06\", expect_size=\"49948672\"] \n  38 -> 39 [size =\"49948672\"]\n  39 [size=\"27742208\", alpha=\"0.08\", expect_size=\"13871104\"] \n  39 -> 40 [size =\"13871104\"]\n  40 [size=\"35627008\", alpha=\"0.03\", expect_size=\"17813504\"] \n  40 -> 41 [size =\"17813504\"]\n  41 [size=\"25214976\", alpha=\"0.07\", expect_size=\"12607488\"] \n  41 -> 42 [size =\"12607488\"]\n  42 [size=\"45907968\", alpha=\"0.18\", expect_size=\"22953984\"] \n  42 -> 43 [size =\"22953984\"]\n  43 [size=\"60588032\", alpha=\"0.12\", expect_size=\"30294016\"] \n  43 -> 44 [size =\"30294016\"]\n  44 [size=\"31234048\", alpha=\"0.04\", expect_size=\"15617024\"] \n  44 -> 45 [size =\"15617024\"]\n  45 [size=\"52627456\", alpha=\"0.09\", expect_size=\"26313728\"] \n  45 -> 46 [size =\"26313728\"]\n  46 [size=\"15972352\", alpha=\"0.19\", expect_size=\"7986176\"] \n  46 -> 47 [size =\"7986176\"]\n  47 [size=\"55238656\", alpha=\"0.11\", expect_size=\"27619328\"] \n  47 -> 48 [size =\"27619328\"]\n  48 [size=\"20613120\", alpha=\"0.14\", expect_size=\"10306560\"] \n  48 -> 49 [size =\"10306560\"]\n  49 [size=\"49979392\", alpha=\"0.17\", expect_size=\"24989696\"] \n  49 -> 50 [size =\"24989696\"]\n  50 [size=\"86984704\", alpha=\"0.18\", expect_size=\"43492352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.594.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80356693\", alpha=\"0.15\", expect_size=\"24107008\"] \n  1 -> 38 [size =\"24107008\"]\n  1 -> 40 [size =\"24107008\"]\n  1 -> 41 [size =\"24107008\"]\n  1 -> 45 [size =\"24107008\"]\n  1 -> 48 [size =\"24107008\"]\n  2 [size=\"117080747\", alpha=\"0.12\", expect_size=\"35124224\"] \n  2 -> 37 [size =\"35124224\"]\n  2 -> 38 [size =\"35124224\"]\n  2 -> 39 [size =\"35124224\"]\n  2 -> 42 [size =\"35124224\"]\n  2 -> 45 [size =\"35124224\"]\n  2 -> 48 [size =\"35124224\"]\n  2 -> 49 [size =\"35124224\"]\n  3 [size=\"56337067\", alpha=\"0.08\", expect_size=\"16901120\"] \n  3 -> 37 [size =\"16901120\"]\n  3 -> 39 [size =\"16901120\"]\n  3 -> 41 [size =\"16901120\"]\n  3 -> 45 [size =\"16901120\"]\n  3 -> 45 [size =\"16901120\"]\n  3 -> 48 [size =\"16901120\"]\n  4 [size=\"43086507\", alpha=\"0.02\", expect_size=\"12925952\"] \n  4 -> 37 [size =\"12925952\"]\n  4 -> 45 [size =\"12925952\"]\n  4 -> 48 [size =\"12925952\"]\n  5 [size=\"163368960\", alpha=\"0.02\", expect_size=\"49010688\"] \n  5 -> 38 [size =\"49010688\"]\n  5 -> 41 [size =\"49010688\"]\n  5 -> 42 [size =\"49010688\"]\n  5 -> 45 [size =\"49010688\"]\n  5 -> 46 [size =\"49010688\"]\n  5 -> 47 [size =\"49010688\"]\n  5 -> 49 [size =\"49010688\"]\n  5 -> 50 [size =\"49010688\"]\n  6 [size=\"42222933\", alpha=\"0.11\", expect_size=\"12666880\"] \n  6 -> 36 [size =\"12666880\"]\n  6 -> 38 [size =\"12666880\"]\n  6 -> 41 [size =\"12666880\"]\n  6 -> 43 [size =\"12666880\"]\n  7 [size=\"80220160\", alpha=\"0.08\", expect_size=\"24066048\"] \n  7 -> 38 [size =\"24066048\"]\n  7 -> 38 [size =\"24066048\"]\n  7 -> 41 [size =\"24066048\"]\n  7 -> 42 [size =\"24066048\"]\n  7 -> 45 [size =\"24066048\"]\n  7 -> 46 [size =\"24066048\"]\n  7 -> 50 [size =\"24066048\"]\n  8 [size=\"70864213\", alpha=\"0.15\", expect_size=\"21259264\"] \n  8 -> 36 [size =\"21259264\"]\n  8 -> 38 [size =\"21259264\"]\n  8 -> 39 [size =\"21259264\"]\n  8 -> 42 [size =\"21259264\"]\n  8 -> 45 [size =\"21259264\"]\n  9 [size=\"120477013\", alpha=\"0.13\", expect_size=\"36143104\"] \n  9 -> 36 [size =\"36143104\"]\n  9 -> 38 [size =\"36143104\"]\n  9 -> 39 [size =\"36143104\"]\n  9 -> 40 [size =\"36143104\"]\n  9 -> 41 [size =\"36143104\"]\n  9 -> 42 [size =\"36143104\"]\n  9 -> 45 [size =\"36143104\"]\n  9 -> 50 [size =\"36143104\"]\n  10 [size=\"168502613\", alpha=\"0.06\", expect_size=\"50550784\"] \n  10 -> 37 [size =\"50550784\"]\n  10 -> 38 [size =\"50550784\"]\n  10 -> 39 [size =\"50550784\"]\n  10 -> 41 [size =\"50550784\"]\n  10 -> 48 [size =\"50550784\"]\n  11 [size=\"36454400\", alpha=\"0.17\", expect_size=\"10936320\"] \n  11 -> 37 [size =\"10936320\"]\n  11 -> 38 [size =\"10936320\"]\n  11 -> 39 [size =\"10936320\"]\n  11 -> 43 [size =\"10936320\"]\n  11 -> 44 [size =\"10936320\"]\n  12 [size=\"157904213\", alpha=\"0.06\", expect_size=\"47371264\"] \n  12 -> 37 [size =\"47371264\"]\n  12 -> 38 [size =\"47371264\"]\n  12 -> 40 [size =\"47371264\"]\n  12 -> 41 [size =\"47371264\"]\n  12 -> 42 [size =\"47371264\"]\n  12 -> 48 [size =\"47371264\"]\n  12 -> 50 [size =\"47371264\"]\n  13 [size=\"91613867\", alpha=\"0.10\", expect_size=\"27484160\"] \n  13 -> 36 [size =\"27484160\"]\n  13 -> 37 [size =\"27484160\"]\n  13 -> 39 [size =\"27484160\"]\n  13 -> 41 [size =\"27484160\"]\n  13 -> 42 [size =\"27484160\"]\n  13 -> 43 [size =\"27484160\"]\n  13 -> 45 [size =\"27484160\"]\n  13 -> 47 [size =\"27484160\"]\n  14 [size=\"152340480\", alpha=\"0.19\", expect_size=\"45702144\"] \n  14 -> 37 [size =\"45702144\"]\n  14 -> 37 [size =\"45702144\"]\n  14 -> 39 [size =\"45702144\"]\n  14 -> 41 [size =\"45702144\"]\n  15 [size=\"164785493\", alpha=\"0.09\", expect_size=\"49435648\"] \n  15 -> 37 [size =\"49435648\"]\n  15 -> 39 [size =\"49435648\"]\n  15 -> 42 [size =\"49435648\"]\n  16 [size=\"24432640\", alpha=\"0.12\", expect_size=\"7329792\"] \n  16 -> 37 [size =\"7329792\"]\n  16 -> 38 [size =\"7329792\"]\n  16 -> 39 [size =\"7329792\"]\n  16 -> 42 [size =\"7329792\"]\n  16 -> 43 [size =\"7329792\"]\n  16 -> 44 [size =\"7329792\"]\n  16 -> 47 [size =\"7329792\"]\n  16 -> 48 [size =\"7329792\"]\n  17 [size=\"108550827\", alpha=\"0.14\", expect_size=\"32565248\"] \n  17 -> 37 [size =\"32565248\"]\n  17 -> 38 [size =\"32565248\"]\n  17 -> 41 [size =\"32565248\"]\n  17 -> 42 [size =\"32565248\"]\n  17 -> 43 [size =\"32565248\"]\n  17 -> 45 [size =\"32565248\"]\n  17 -> 46 [size =\"32565248\"]\n  17 -> 49 [size =\"32565248\"]\n  18 [size=\"174120960\", alpha=\"0.02\", expect_size=\"52236288\"] \n  18 -> 37 [size =\"52236288\"]\n  18 -> 38 [size =\"52236288\"]\n  18 -> 41 [size =\"52236288\"]\n  18 -> 42 [size =\"52236288\"]\n  18 -> 43 [size =\"52236288\"]\n  18 -> 50 [size =\"52236288\"]\n  19 [size=\"131966293\", alpha=\"0.08\", expect_size=\"39589888\"] \n  19 -> 38 [size =\"39589888\"]\n  19 -> 38 [size =\"39589888\"]\n  19 -> 41 [size =\"39589888\"]\n  19 -> 43 [size =\"39589888\"]\n  20 [size=\"80500053\", alpha=\"0.01\", expect_size=\"24150016\"] \n  20 -> 37 [size =\"24150016\"]\n  20 -> 41 [size =\"24150016\"]\n  20 -> 41 [size =\"24150016\"]\n  20 -> 42 [size =\"24150016\"]\n  20 -> 43 [size =\"24150016\"]\n  21 [size=\"127204693\", alpha=\"0.03\", expect_size=\"38161408\"] \n  21 -> 40 [size =\"38161408\"]\n  21 -> 42 [size =\"38161408\"]\n  21 -> 43 [size =\"38161408\"]\n  21 -> 45 [size =\"38161408\"]\n  21 -> 47 [size =\"38161408\"]\n  22 [size=\"102884693\", alpha=\"0.17\", expect_size=\"30865408\"] \n  22 -> 36 [size =\"30865408\"]\n  22 -> 38 [size =\"30865408\"]\n  22 -> 40 [size =\"30865408\"]\n  22 -> 42 [size =\"30865408\"]\n  22 -> 43 [size =\"30865408\"]\n  22 -> 48 [size =\"30865408\"]\n  22 -> 50 [size =\"30865408\"]\n  23 [size=\"151657813\", alpha=\"0.16\", expect_size=\"45497344\"] \n  23 -> 40 [size =\"45497344\"]\n  23 -> 42 [size =\"45497344\"]\n  24 [size=\"70642347\", alpha=\"0.18\", expect_size=\"21192704\"] \n  24 -> 36 [size =\"21192704\"]\n  24 -> 41 [size =\"21192704\"]\n  24 -> 42 [size =\"21192704\"]\n  24 -> 43 [size =\"21192704\"]\n  24 -> 48 [size =\"21192704\"]\n  24 -> 49 [size =\"21192704\"]\n  25 [size=\"62429867\", alpha=\"0.19\", expect_size=\"18728960\"] \n  25 -> 36 [size =\"18728960\"]\n  25 -> 37 [size =\"18728960\"]\n  25 -> 42 [size =\"18728960\"]\n  25 -> 43 [size =\"18728960\"]\n  25 -> 47 [size =\"18728960\"]\n  25 -> 48 [size =\"18728960\"]\n  26 [size=\"134884693\", alpha=\"0.02\", expect_size=\"40465408\"] \n  26 -> 37 [size =\"40465408\"]\n  26 -> 41 [size =\"40465408\"]\n  26 -> 42 [size =\"40465408\"]\n  26 -> 43 [size =\"40465408\"]\n  26 -> 46 [size =\"40465408\"]\n  26 -> 48 [size =\"40465408\"]\n  27 [size=\"71860907\", alpha=\"0.14\", expect_size=\"21558272\"] \n  27 -> 37 [size =\"21558272\"]\n  27 -> 39 [size =\"21558272\"]\n  27 -> 41 [size =\"21558272\"]\n  27 -> 43 [size =\"21558272\"]\n  27 -> 45 [size =\"21558272\"]\n  27 -> 46 [size =\"21558272\"]\n  28 [size=\"28532053\", alpha=\"0.13\", expect_size=\"8559616\"] \n  28 -> 36 [size =\"8559616\"]\n  28 -> 37 [size =\"8559616\"]\n  28 -> 39 [size =\"8559616\"]\n  28 -> 41 [size =\"8559616\"]\n  28 -> 43 [size =\"8559616\"]\n  29 [size=\"42656427\", alpha=\"0.05\", expect_size=\"12796928\"] \n  29 -> 36 [size =\"12796928\"]\n  29 -> 37 [size =\"12796928\"]\n  29 -> 39 [size =\"12796928\"]\n  29 -> 41 [size =\"12796928\"]\n  29 -> 43 [size =\"12796928\"]\n  29 -> 45 [size =\"12796928\"]\n  30 [size=\"105089707\", alpha=\"0.16\", expect_size=\"31526912\"] \n  30 -> 36 [size =\"31526912\"]\n  30 -> 37 [size =\"31526912\"]\n  30 -> 38 [size =\"31526912\"]\n  30 -> 39 [size =\"31526912\"]\n  30 -> 40 [size =\"31526912\"]\n  31 [size=\"115196587\", alpha=\"0.09\", expect_size=\"34558976\"] \n  31 -> 36 [size =\"34558976\"]\n  31 -> 39 [size =\"34558976\"]\n  31 -> 41 [size =\"34558976\"]\n  31 -> 42 [size =\"34558976\"]\n  31 -> 47 [size =\"34558976\"]\n  32 [size=\"135857493\", alpha=\"0.00\", expect_size=\"40757248\"] \n  32 -> 36 [size =\"40757248\"]\n  32 -> 39 [size =\"40757248\"]\n  32 -> 42 [size =\"40757248\"]\n  32 -> 42 [size =\"40757248\"]\n  32 -> 46 [size =\"40757248\"]\n  32 -> 48 [size =\"40757248\"]\n  33 [size=\"109390507\", alpha=\"0.01\", expect_size=\"32817152\"] \n  33 -> 37 [size =\"32817152\"]\n  33 -> 39 [size =\"32817152\"]\n  33 -> 42 [size =\"32817152\"]\n  33 -> 45 [size =\"32817152\"]\n  33 -> 46 [size =\"32817152\"]\n  33 -> 48 [size =\"32817152\"]\n  34 [size=\"74663253\", alpha=\"0.19\", expect_size=\"22398976\"] \n  34 -> 38 [size =\"22398976\"]\n  34 -> 39 [size =\"22398976\"]\n  34 -> 42 [size =\"22398976\"]\n  34 -> 43 [size =\"22398976\"]\n  34 -> 45 [size =\"22398976\"]\n  34 -> 46 [size =\"22398976\"]\n  34 -> 48 [size =\"22398976\"]\n  35 [size=\"57285973\", alpha=\"0.15\", expect_size=\"17185792\"] \n  35 -> 36 [size =\"17185792\"]\n  35 -> 37 [size =\"17185792\"]\n  35 -> 39 [size =\"17185792\"]\n  35 -> 40 [size =\"17185792\"]\n  35 -> 42 [size =\"17185792\"]\n  35 -> 43 [size =\"17185792\"]\n  35 -> 45 [size =\"17185792\"]\n  35 -> 46 [size =\"17185792\"]\n  35 -> 48 [size =\"17185792\"]\n  35 -> 50 [size =\"17185792\"]\n  36 [size=\"45868373\", alpha=\"0.13\", expect_size=\"13760512\"] \n  37 [size=\"65160533\", alpha=\"0.02\", expect_size=\"19548160\"] \n  38 [size=\"20616533\", alpha=\"0.11\", expect_size=\"6184960\"] \n  39 [size=\"122914133\", alpha=\"0.14\", expect_size=\"36874240\"] \n  40 [size=\"160488107\", alpha=\"0.06\", expect_size=\"48146432\"] \n  41 [size=\"127081813\", alpha=\"0.11\", expect_size=\"38124544\"] \n  42 [size=\"41669973\", alpha=\"0.08\", expect_size=\"12500992\"] \n  43 [size=\"44683947\", alpha=\"0.01\", expect_size=\"13405184\"] \n  44 [size=\"52981760\", alpha=\"0.01\", expect_size=\"15894528\"] \n  45 [size=\"44141227\", alpha=\"0.07\", expect_size=\"13242368\"] \n  46 [size=\"165474987\", alpha=\"0.08\", expect_size=\"49642496\"] \n  47 [size=\"109363200\", alpha=\"0.15\", expect_size=\"32808960\"] \n  48 [size=\"124170240\", alpha=\"0.05\", expect_size=\"37251072\"] \n  49 [size=\"51971413\", alpha=\"0.17\", expect_size=\"15591424\"] \n  50 [size=\"164543147\", alpha=\"0.00\", expect_size=\"49362944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.595.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96788480\", alpha=\"0.03\", expect_size=\"29036544\"] \n  1 -> 28 [size =\"29036544\"]\n  1 -> 31 [size =\"29036544\"]\n  1 -> 32 [size =\"29036544\"]\n  1 -> 33 [size =\"29036544\"]\n  1 -> 38 [size =\"29036544\"]\n  1 -> 39 [size =\"29036544\"]\n  1 -> 40 [size =\"29036544\"]\n  1 -> 42 [size =\"29036544\"]\n  1 -> 47 [size =\"29036544\"]\n  2 [size=\"107721387\", alpha=\"0.03\", expect_size=\"32316416\"] \n  2 -> 28 [size =\"32316416\"]\n  2 -> 31 [size =\"32316416\"]\n  2 -> 32 [size =\"32316416\"]\n  2 -> 33 [size =\"32316416\"]\n  2 -> 38 [size =\"32316416\"]\n  2 -> 39 [size =\"32316416\"]\n  2 -> 40 [size =\"32316416\"]\n  2 -> 41 [size =\"32316416\"]\n  2 -> 42 [size =\"32316416\"]\n  2 -> 43 [size =\"32316416\"]\n  2 -> 47 [size =\"32316416\"]\n  3 [size=\"152200533\", alpha=\"0.08\", expect_size=\"45660160\"] \n  3 -> 28 [size =\"45660160\"]\n  3 -> 29 [size =\"45660160\"]\n  3 -> 32 [size =\"45660160\"]\n  3 -> 33 [size =\"45660160\"]\n  3 -> 35 [size =\"45660160\"]\n  3 -> 38 [size =\"45660160\"]\n  3 -> 40 [size =\"45660160\"]\n  3 -> 41 [size =\"45660160\"]\n  3 -> 43 [size =\"45660160\"]\n  3 -> 44 [size =\"45660160\"]\n  4 [size=\"93706240\", alpha=\"0.14\", expect_size=\"28111872\"] \n  4 -> 28 [size =\"28111872\"]\n  4 -> 32 [size =\"28111872\"]\n  4 -> 32 [size =\"28111872\"]\n  4 -> 34 [size =\"28111872\"]\n  4 -> 39 [size =\"28111872\"]\n  4 -> 40 [size =\"28111872\"]\n  4 -> 43 [size =\"28111872\"]\n  4 -> 44 [size =\"28111872\"]\n  4 -> 47 [size =\"28111872\"]\n  5 [size=\"81684480\", alpha=\"0.19\", expect_size=\"24505344\"] \n  5 -> 28 [size =\"24505344\"]\n  5 -> 32 [size =\"24505344\"]\n  5 -> 33 [size =\"24505344\"]\n  5 -> 37 [size =\"24505344\"]\n  5 -> 38 [size =\"24505344\"]\n  5 -> 39 [size =\"24505344\"]\n  5 -> 43 [size =\"24505344\"]\n  5 -> 44 [size =\"24505344\"]\n  5 -> 47 [size =\"24505344\"]\n  5 -> 50 [size =\"24505344\"]\n  6 [size=\"124842667\", alpha=\"0.17\", expect_size=\"37452800\"] \n  6 -> 28 [size =\"37452800\"]\n  6 -> 30 [size =\"37452800\"]\n  6 -> 32 [size =\"37452800\"]\n  6 -> 33 [size =\"37452800\"]\n  6 -> 36 [size =\"37452800\"]\n  6 -> 37 [size =\"37452800\"]\n  6 -> 38 [size =\"37452800\"]\n  6 -> 39 [size =\"37452800\"]\n  6 -> 41 [size =\"37452800\"]\n  6 -> 43 [size =\"37452800\"]\n  6 -> 44 [size =\"37452800\"]\n  7 [size=\"23698773\", alpha=\"0.16\", expect_size=\"7109632\"] \n  7 -> 28 [size =\"7109632\"]\n  7 -> 32 [size =\"7109632\"]\n  7 -> 34 [size =\"7109632\"]\n  7 -> 38 [size =\"7109632\"]\n  7 -> 39 [size =\"7109632\"]\n  7 -> 43 [size =\"7109632\"]\n  7 -> 46 [size =\"7109632\"]\n  7 -> 50 [size =\"7109632\"]\n  8 [size=\"108165120\", alpha=\"0.14\", expect_size=\"32449536\"] \n  8 -> 28 [size =\"32449536\"]\n  8 -> 29 [size =\"32449536\"]\n  8 -> 31 [size =\"32449536\"]\n  8 -> 32 [size =\"32449536\"]\n  8 -> 35 [size =\"32449536\"]\n  8 -> 38 [size =\"32449536\"]\n  8 -> 39 [size =\"32449536\"]\n  8 -> 43 [size =\"32449536\"]\n  9 [size=\"28190720\", alpha=\"0.07\", expect_size=\"8457216\"] \n  9 -> 28 [size =\"8457216\"]\n  9 -> 31 [size =\"8457216\"]\n  9 -> 32 [size =\"8457216\"]\n  9 -> 33 [size =\"8457216\"]\n  9 -> 35 [size =\"8457216\"]\n  9 -> 38 [size =\"8457216\"]\n  9 -> 39 [size =\"8457216\"]\n  9 -> 43 [size =\"8457216\"]\n  9 -> 46 [size =\"8457216\"]\n  9 -> 47 [size =\"8457216\"]\n  10 [size=\"108741973\", alpha=\"0.14\", expect_size=\"32622592\"] \n  10 -> 28 [size =\"32622592\"]\n  10 -> 31 [size =\"32622592\"]\n  10 -> 33 [size =\"32622592\"]\n  10 -> 35 [size =\"32622592\"]\n  10 -> 38 [size =\"32622592\"]\n  10 -> 38 [size =\"32622592\"]\n  10 -> 42 [size =\"32622592\"]\n  10 -> 43 [size =\"32622592\"]\n  10 -> 46 [size =\"32622592\"]\n  10 -> 49 [size =\"32622592\"]\n  11 [size=\"27743573\", alpha=\"0.18\", expect_size=\"8323072\"] \n  11 -> 28 [size =\"8323072\"]\n  11 -> 29 [size =\"8323072\"]\n  11 -> 32 [size =\"8323072\"]\n  11 -> 36 [size =\"8323072\"]\n  11 -> 37 [size =\"8323072\"]\n  11 -> 38 [size =\"8323072\"]\n  11 -> 41 [size =\"8323072\"]\n  11 -> 42 [size =\"8323072\"]\n  11 -> 43 [size =\"8323072\"]\n  11 -> 46 [size =\"8323072\"]\n  11 -> 49 [size =\"8323072\"]\n  11 -> 50 [size =\"8323072\"]\n  12 [size=\"49513813\", alpha=\"0.01\", expect_size=\"14854144\"] \n  12 -> 28 [size =\"14854144\"]\n  12 -> 31 [size =\"14854144\"]\n  12 -> 32 [size =\"14854144\"]\n  12 -> 38 [size =\"14854144\"]\n  12 -> 43 [size =\"14854144\"]\n  12 -> 49 [size =\"14854144\"]\n  13 [size=\"75711147\", alpha=\"0.18\", expect_size=\"22713344\"] \n  13 -> 28 [size =\"22713344\"]\n  13 -> 31 [size =\"22713344\"]\n  13 -> 32 [size =\"22713344\"]\n  13 -> 33 [size =\"22713344\"]\n  13 -> 38 [size =\"22713344\"]\n  13 -> 39 [size =\"22713344\"]\n  13 -> 40 [size =\"22713344\"]\n  13 -> 43 [size =\"22713344\"]\n  13 -> 46 [size =\"22713344\"]\n  13 -> 47 [size =\"22713344\"]\n  13 -> 49 [size =\"22713344\"]\n  14 [size=\"139062613\", alpha=\"0.14\", expect_size=\"41718784\"] \n  14 -> 29 [size =\"41718784\"]\n  14 -> 31 [size =\"41718784\"]\n  14 -> 32 [size =\"41718784\"]\n  14 -> 38 [size =\"41718784\"]\n  14 -> 39 [size =\"41718784\"]\n  14 -> 43 [size =\"41718784\"]\n  14 -> 45 [size =\"41718784\"]\n  15 [size=\"88763733\", alpha=\"0.02\", expect_size=\"26629120\"] \n  15 -> 31 [size =\"26629120\"]\n  15 -> 32 [size =\"26629120\"]\n  15 -> 32 [size =\"26629120\"]\n  15 -> 33 [size =\"26629120\"]\n  15 -> 38 [size =\"26629120\"]\n  15 -> 39 [size =\"26629120\"]\n  15 -> 43 [size =\"26629120\"]\n  16 [size=\"83763200\", alpha=\"0.13\", expect_size=\"25128960\"] \n  16 -> 31 [size =\"25128960\"]\n  16 -> 32 [size =\"25128960\"]\n  16 -> 33 [size =\"25128960\"]\n  16 -> 34 [size =\"25128960\"]\n  16 -> 35 [size =\"25128960\"]\n  16 -> 38 [size =\"25128960\"]\n  16 -> 39 [size =\"25128960\"]\n  16 -> 40 [size =\"25128960\"]\n  16 -> 42 [size =\"25128960\"]\n  16 -> 43 [size =\"25128960\"]\n  16 -> 47 [size =\"25128960\"]\n  17 [size=\"61061120\", alpha=\"0.07\", expect_size=\"18318336\"] \n  17 -> 28 [size =\"18318336\"]\n  17 -> 32 [size =\"18318336\"]\n  17 -> 36 [size =\"18318336\"]\n  17 -> 38 [size =\"18318336\"]\n  17 -> 39 [size =\"18318336\"]\n  17 -> 43 [size =\"18318336\"]\n  17 -> 44 [size =\"18318336\"]\n  17 -> 48 [size =\"18318336\"]\n  17 -> 50 [size =\"18318336\"]\n  18 [size=\"32682667\", alpha=\"0.04\", expect_size=\"9804800\"] \n  18 -> 31 [size =\"9804800\"]\n  18 -> 32 [size =\"9804800\"]\n  18 -> 38 [size =\"9804800\"]\n  18 -> 39 [size =\"9804800\"]\n  18 -> 39 [size =\"9804800\"]\n  18 -> 43 [size =\"9804800\"]\n  18 -> 44 [size =\"9804800\"]\n  19 [size=\"140823893\", alpha=\"0.08\", expect_size=\"42247168\"] \n  19 -> 28 [size =\"42247168\"]\n  19 -> 31 [size =\"42247168\"]\n  19 -> 32 [size =\"42247168\"]\n  19 -> 35 [size =\"42247168\"]\n  19 -> 38 [size =\"42247168\"]\n  19 -> 39 [size =\"42247168\"]\n  19 -> 40 [size =\"42247168\"]\n  19 -> 41 [size =\"42247168\"]\n  19 -> 42 [size =\"42247168\"]\n  19 -> 43 [size =\"42247168\"]\n  19 -> 46 [size =\"42247168\"]\n  19 -> 50 [size =\"42247168\"]\n  20 [size=\"39335253\", alpha=\"0.06\", expect_size=\"11800576\"] \n  20 -> 28 [size =\"11800576\"]\n  20 -> 31 [size =\"11800576\"]\n  20 -> 37 [size =\"11800576\"]\n  20 -> 38 [size =\"11800576\"]\n  20 -> 39 [size =\"11800576\"]\n  20 -> 39 [size =\"11800576\"]\n  20 -> 41 [size =\"11800576\"]\n  20 -> 42 [size =\"11800576\"]\n  20 -> 42 [size =\"11800576\"]\n  20 -> 43 [size =\"11800576\"]\n  20 -> 47 [size =\"11800576\"]\n  20 -> 48 [size =\"11800576\"]\n  21 [size=\"148736000\", alpha=\"0.14\", expect_size=\"44620800\"] \n  21 -> 28 [size =\"44620800\"]\n  21 -> 31 [size =\"44620800\"]\n  21 -> 33 [size =\"44620800\"]\n  21 -> 42 [size =\"44620800\"]\n  21 -> 43 [size =\"44620800\"]\n  21 -> 44 [size =\"44620800\"]\n  22 [size=\"130522453\", alpha=\"0.13\", expect_size=\"39156736\"] \n  22 -> 28 [size =\"39156736\"]\n  22 -> 31 [size =\"39156736\"]\n  22 -> 32 [size =\"39156736\"]\n  22 -> 35 [size =\"39156736\"]\n  22 -> 40 [size =\"39156736\"]\n  22 -> 42 [size =\"39156736\"]\n  23 [size=\"141684053\", alpha=\"0.10\", expect_size=\"42505216\"] \n  23 -> 31 [size =\"42505216\"]\n  23 -> 33 [size =\"42505216\"]\n  23 -> 35 [size =\"42505216\"]\n  23 -> 35 [size =\"42505216\"]\n  23 -> 40 [size =\"42505216\"]\n  23 -> 42 [size =\"42505216\"]\n  23 -> 43 [size =\"42505216\"]\n  24 [size=\"128341333\", alpha=\"0.16\", expect_size=\"38502400\"] \n  24 -> 28 [size =\"38502400\"]\n  24 -> 31 [size =\"38502400\"]\n  24 -> 33 [size =\"38502400\"]\n  24 -> 35 [size =\"38502400\"]\n  24 -> 39 [size =\"38502400\"]\n  24 -> 44 [size =\"38502400\"]\n  25 [size=\"78120960\", alpha=\"0.11\", expect_size=\"23436288\"] \n  25 -> 28 [size =\"23436288\"]\n  25 -> 31 [size =\"23436288\"]\n  25 -> 32 [size =\"23436288\"]\n  25 -> 37 [size =\"23436288\"]\n  25 -> 38 [size =\"23436288\"]\n  25 -> 39 [size =\"23436288\"]\n  25 -> 44 [size =\"23436288\"]\n  26 [size=\"95880533\", alpha=\"0.19\", expect_size=\"28764160\"] \n  26 -> 28 [size =\"28764160\"]\n  26 -> 31 [size =\"28764160\"]\n  26 -> 35 [size =\"28764160\"]\n  26 -> 38 [size =\"28764160\"]\n  26 -> 38 [size =\"28764160\"]\n  26 -> 41 [size =\"28764160\"]\n  26 -> 42 [size =\"28764160\"]\n  26 -> 44 [size =\"28764160\"]\n  27 [size=\"38949547\", alpha=\"0.08\", expect_size=\"11684864\"] \n  27 -> 28 [size =\"11684864\"]\n  27 -> 29 [size =\"11684864\"]\n  27 -> 31 [size =\"11684864\"]\n  27 -> 32 [size =\"11684864\"]\n  27 -> 33 [size =\"11684864\"]\n  27 -> 35 [size =\"11684864\"]\n  27 -> 37 [size =\"11684864\"]\n  27 -> 38 [size =\"11684864\"]\n  27 -> 40 [size =\"11684864\"]\n  27 -> 44 [size =\"11684864\"]\n  28 [size=\"97419947\", alpha=\"0.09\", expect_size=\"29225984\"] \n  29 [size=\"128252587\", alpha=\"0.10\", expect_size=\"38475776\"] \n  30 [size=\"32887467\", alpha=\"0.04\", expect_size=\"9866240\"] \n  31 [size=\"78817280\", alpha=\"0.19\", expect_size=\"23645184\"] \n  32 [size=\"30784853\", alpha=\"0.17\", expect_size=\"9235456\"] \n  33 [size=\"136325120\", alpha=\"0.04\", expect_size=\"40897536\"] \n  34 [size=\"58299733\", alpha=\"0.05\", expect_size=\"17489920\"] \n  35 [size=\"30235307\", alpha=\"0.16\", expect_size=\"9070592\"] \n  36 [size=\"116333227\", alpha=\"0.15\", expect_size=\"34899968\"] \n  37 [size=\"109387093\", alpha=\"0.00\", expect_size=\"32816128\"] \n  38 [size=\"172912640\", alpha=\"0.07\", expect_size=\"51873792\"] \n  39 [size=\"83022507\", alpha=\"0.09\", expect_size=\"24906752\"] \n  40 [size=\"165014187\", alpha=\"0.14\", expect_size=\"49504256\"] \n  41 [size=\"38287360\", alpha=\"0.16\", expect_size=\"11486208\"] \n  42 [size=\"27688960\", alpha=\"0.12\", expect_size=\"8306688\"] \n  43 [size=\"165259947\", alpha=\"0.04\", expect_size=\"49577984\"] \n  44 [size=\"37376000\", alpha=\"0.10\", expect_size=\"11212800\"] \n  45 [size=\"80196267\", alpha=\"0.04\", expect_size=\"24058880\"] \n  46 [size=\"50435413\", alpha=\"0.08\", expect_size=\"15130624\"] \n  47 [size=\"171673600\", alpha=\"0.15\", expect_size=\"51502080\"] \n  48 [size=\"172919467\", alpha=\"0.11\", expect_size=\"51875840\"] \n  49 [size=\"69379413\", alpha=\"0.02\", expect_size=\"20813824\"] \n  50 [size=\"141697707\", alpha=\"0.15\", expect_size=\"42509312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.596.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17954133\", alpha=\"0.10\", expect_size=\"5386240\"] \n  1 -> 2 [size =\"5386240\"]\n  2 [size=\"53405013\", alpha=\"0.15\", expect_size=\"16021504\"] \n  2 -> 3 [size =\"16021504\"]\n  3 [size=\"76328960\", alpha=\"0.17\", expect_size=\"22898688\"] \n  3 -> 4 [size =\"22898688\"]\n  4 [size=\"82380800\", alpha=\"0.09\", expect_size=\"24714240\"] \n  4 -> 5 [size =\"24714240\"]\n  5 [size=\"18629973\", alpha=\"0.04\", expect_size=\"5588992\"] \n  5 -> 6 [size =\"5588992\"]\n  6 [size=\"163607893\", alpha=\"0.19\", expect_size=\"49082368\"] \n  6 -> 7 [size =\"49082368\"]\n  7 [size=\"136581120\", alpha=\"0.03\", expect_size=\"40974336\"] \n  7 -> 8 [size =\"40974336\"]\n  8 [size=\"111199573\", alpha=\"0.13\", expect_size=\"33359872\"] \n  8 -> 9 [size =\"33359872\"]\n  9 [size=\"174574933\", alpha=\"0.01\", expect_size=\"52372480\"] \n  9 -> 10 [size =\"52372480\"]\n  10 [size=\"135181653\", alpha=\"0.13\", expect_size=\"40554496\"] \n  10 -> 11 [size =\"40554496\"]\n  11 [size=\"159610880\", alpha=\"0.09\", expect_size=\"47883264\"] \n  11 -> 12 [size =\"47883264\"]\n  12 [size=\"79458987\", alpha=\"0.11\", expect_size=\"23837696\"] \n  12 -> 13 [size =\"23837696\"]\n  13 [size=\"42581333\", alpha=\"0.03\", expect_size=\"12774400\"] \n  13 -> 14 [size =\"12774400\"]\n  14 [size=\"18083840\", alpha=\"0.09\", expect_size=\"5425152\"] \n  14 -> 15 [size =\"5425152\"]\n  15 [size=\"90903893\", alpha=\"0.06\", expect_size=\"27271168\"] \n  15 -> 16 [size =\"27271168\"]\n  16 [size=\"120685227\", alpha=\"0.03\", expect_size=\"36205568\"] \n  16 -> 17 [size =\"36205568\"]\n  17 [size=\"109527040\", alpha=\"0.15\", expect_size=\"32858112\"] \n  17 -> 18 [size =\"32858112\"]\n  18 [size=\"130628267\", alpha=\"0.12\", expect_size=\"39188480\"] \n  18 -> 19 [size =\"39188480\"]\n  19 [size=\"74871467\", alpha=\"0.09\", expect_size=\"22461440\"] \n  19 -> 20 [size =\"22461440\"]\n  20 [size=\"82128213\", alpha=\"0.12\", expect_size=\"24638464\"] \n  20 -> 21 [size =\"24638464\"]\n  21 [size=\"27992747\", alpha=\"0.15\", expect_size=\"8397824\"] \n  21 -> 22 [size =\"8397824\"]\n  22 [size=\"98437120\", alpha=\"0.02\", expect_size=\"29531136\"] \n  22 -> 23 [size =\"29531136\"]\n  23 [size=\"28784640\", alpha=\"0.17\", expect_size=\"8635392\"] \n  23 -> 24 [size =\"8635392\"]\n  24 [size=\"52831573\", alpha=\"0.01\", expect_size=\"15849472\"] \n  24 -> 25 [size =\"15849472\"]\n  25 [size=\"124532053\", alpha=\"0.04\", expect_size=\"37359616\"] \n  25 -> 26 [size =\"37359616\"]\n  26 [size=\"168232960\", alpha=\"0.07\", expect_size=\"50469888\"] \n  26 -> 27 [size =\"50469888\"]\n  27 [size=\"30781440\", alpha=\"0.04\", expect_size=\"9234432\"] \n  27 -> 28 [size =\"9234432\"]\n  28 [size=\"150009173\", alpha=\"0.13\", expect_size=\"45002752\"] \n  28 -> 29 [size =\"45002752\"]\n  29 [size=\"86504107\", alpha=\"0.02\", expect_size=\"25951232\"] \n  29 -> 30 [size =\"25951232\"]\n  30 [size=\"153405440\", alpha=\"0.06\", expect_size=\"46021632\"] \n  30 -> 31 [size =\"46021632\"]\n  31 [size=\"86961493\", alpha=\"0.09\", expect_size=\"26088448\"] \n  31 -> 32 [size =\"26088448\"]\n  32 [size=\"44939947\", alpha=\"0.19\", expect_size=\"13481984\"] \n  32 -> 33 [size =\"13481984\"]\n  33 [size=\"63266133\", alpha=\"0.12\", expect_size=\"18979840\"] \n  33 -> 34 [size =\"18979840\"]\n  34 [size=\"43509760\", alpha=\"0.05\", expect_size=\"13052928\"] \n  34 -> 35 [size =\"13052928\"]\n  35 [size=\"50578773\", alpha=\"0.08\", expect_size=\"15173632\"] \n  35 -> 36 [size =\"15173632\"]\n  36 [size=\"85623467\", alpha=\"0.04\", expect_size=\"25687040\"] \n  36 -> 37 [size =\"25687040\"]\n  37 [size=\"137495893\", alpha=\"0.11\", expect_size=\"41248768\"] \n  37 -> 38 [size =\"41248768\"]\n  38 [size=\"168014507\", alpha=\"0.13\", expect_size=\"50404352\"] \n  38 -> 39 [size =\"50404352\"]\n  39 [size=\"113616213\", alpha=\"0.03\", expect_size=\"34084864\"] \n  39 -> 40 [size =\"34084864\"]\n  40 [size=\"131399680\", alpha=\"0.00\", expect_size=\"39419904\"] \n  40 -> 41 [size =\"39419904\"]\n  41 [size=\"24504320\", alpha=\"0.19\", expect_size=\"7351296\"] \n  41 -> 42 [size =\"7351296\"]\n  42 [size=\"92347733\", alpha=\"0.08\", expect_size=\"27704320\"] \n  42 -> 43 [size =\"27704320\"]\n  43 [size=\"82339840\", alpha=\"0.18\", expect_size=\"24701952\"] \n  43 -> 44 [size =\"24701952\"]\n  44 [size=\"19592533\", alpha=\"0.13\", expect_size=\"5877760\"] \n  44 -> 45 [size =\"5877760\"]\n  45 [size=\"61999787\", alpha=\"0.02\", expect_size=\"18599936\"] \n  45 -> 46 [size =\"18599936\"]\n  46 [size=\"125702827\", alpha=\"0.10\", expect_size=\"37710848\"] \n  46 -> 47 [size =\"37710848\"]\n  47 [size=\"156627627\", alpha=\"0.19\", expect_size=\"46988288\"] \n  47 -> 48 [size =\"46988288\"]\n  48 [size=\"89538560\", alpha=\"0.06\", expect_size=\"26861568\"] \n  48 -> 49 [size =\"26861568\"]\n  49 [size=\"37584213\", alpha=\"0.01\", expect_size=\"11275264\"] \n  49 -> 50 [size =\"11275264\"]\n  50 [size=\"58166613\", alpha=\"0.13\", expect_size=\"17449984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.597.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64755712\", alpha=\"0.09\", expect_size=\"32377856\"] \n  1 -> 13 [size =\"32377856\"]\n  2 [size=\"22566912\", alpha=\"0.08\", expect_size=\"11283456\"] \n  2 -> 7 [size =\"11283456\"]\n  2 -> 10 [size =\"11283456\"]\n  2 -> 11 [size =\"11283456\"]\n  2 -> 13 [size =\"11283456\"]\n  3 [size=\"92538880\", alpha=\"0.04\", expect_size=\"46269440\"] \n  3 -> 9 [size =\"46269440\"]\n  3 -> 10 [size =\"46269440\"]\n  4 [size=\"32507904\", alpha=\"0.20\", expect_size=\"16253952\"] \n  4 -> 7 [size =\"16253952\"]\n  4 -> 8 [size =\"16253952\"]\n  4 -> 11 [size =\"16253952\"]\n  4 -> 12 [size =\"16253952\"]\n  5 [size=\"40804352\", alpha=\"0.12\", expect_size=\"20402176\"] \n  5 -> 12 [size =\"20402176\"]\n  5 -> 13 [size =\"20402176\"]\n  6 [size=\"62545920\", alpha=\"0.02\", expect_size=\"31272960\"] \n  6 -> 7 [size =\"31272960\"]\n  7 [size=\"47828992\", alpha=\"0.04\", expect_size=\"23914496\"] \n  7 -> 14 [size =\"23914496\"]\n  7 -> 16 [size =\"23914496\"]\n  7 -> 17 [size =\"23914496\"]\n  7 -> 19 [size =\"23914496\"]\n  8 [size=\"40839168\", alpha=\"0.10\", expect_size=\"20419584\"] \n  8 -> 14 [size =\"20419584\"]\n  9 [size=\"100702208\", alpha=\"0.09\", expect_size=\"50351104\"] \n  9 -> 14 [size =\"50351104\"]\n  9 -> 17 [size =\"50351104\"]\n  10 [size=\"88524800\", alpha=\"0.12\", expect_size=\"44262400\"] \n  10 -> 15 [size =\"44262400\"]\n  10 -> 17 [size =\"44262400\"]\n  10 -> 20 [size =\"44262400\"]\n  11 [size=\"26468352\", alpha=\"0.15\", expect_size=\"13234176\"] \n  11 -> 14 [size =\"13234176\"]\n  11 -> 20 [size =\"13234176\"]\n  12 [size=\"67581952\", alpha=\"0.12\", expect_size=\"33790976\"] \n  12 -> 16 [size =\"33790976\"]\n  12 -> 19 [size =\"33790976\"]\n  13 [size=\"103573504\", alpha=\"0.18\", expect_size=\"51786752\"] \n  13 -> 16 [size =\"51786752\"]\n  13 -> 18 [size =\"51786752\"]\n  14 [size=\"26918912\", alpha=\"0.04\", expect_size=\"13459456\"] \n  14 -> 21 [size =\"13459456\"]\n  15 [size=\"26447872\", alpha=\"0.13\", expect_size=\"13223936\"] \n  15 -> 27 [size =\"13223936\"]\n  16 [size=\"85098496\", alpha=\"0.07\", expect_size=\"42549248\"] \n  16 -> 21 [size =\"42549248\"]\n  16 -> 22 [size =\"42549248\"]\n  16 -> 26 [size =\"42549248\"]\n  16 -> 27 [size =\"42549248\"]\n  17 [size=\"93958144\", alpha=\"0.07\", expect_size=\"46979072\"] \n  17 -> 22 [size =\"46979072\"]\n  17 -> 27 [size =\"46979072\"]\n  18 [size=\"19607552\", alpha=\"0.04\", expect_size=\"9803776\"] \n  18 -> 24 [size =\"9803776\"]\n  18 -> 27 [size =\"9803776\"]\n  19 [size=\"65310720\", alpha=\"0.15\", expect_size=\"32655360\"] \n  19 -> 22 [size =\"32655360\"]\n  19 -> 23 [size =\"32655360\"]\n  19 -> 25 [size =\"32655360\"]\n  20 [size=\"13479936\", alpha=\"0.15\", expect_size=\"6739968\"] \n  20 -> 21 [size =\"6739968\"]\n  21 [size=\"68087808\", alpha=\"0.07\", expect_size=\"34043904\"] \n  21 -> 29 [size =\"34043904\"]\n  21 -> 30 [size =\"34043904\"]\n  21 -> 31 [size =\"34043904\"]\n  21 -> 32 [size =\"34043904\"]\n  22 [size=\"45258752\", alpha=\"0.02\", expect_size=\"22629376\"] \n  22 -> 33 [size =\"22629376\"]\n  23 [size=\"104224768\", alpha=\"0.14\", expect_size=\"52112384\"] \n  23 -> 28 [size =\"52112384\"]\n  23 -> 29 [size =\"52112384\"]\n  23 -> 33 [size =\"52112384\"]\n  24 [size=\"93925376\", alpha=\"0.10\", expect_size=\"46962688\"] \n  24 -> 28 [size =\"46962688\"]\n  24 -> 31 [size =\"46962688\"]\n  24 -> 33 [size =\"46962688\"]\n  25 [size=\"16875520\", alpha=\"0.13\", expect_size=\"8437760\"] \n  25 -> 31 [size =\"8437760\"]\n  26 [size=\"76136448\", alpha=\"0.07\", expect_size=\"38068224\"] \n  26 -> 32 [size =\"38068224\"]\n  26 -> 33 [size =\"38068224\"]\n  26 -> 34 [size =\"38068224\"]\n  27 [size=\"16054272\", alpha=\"0.09\", expect_size=\"8027136\"] \n  27 -> 29 [size =\"8027136\"]\n  27 -> 31 [size =\"8027136\"]\n  27 -> 32 [size =\"8027136\"]\n  27 -> 34 [size =\"8027136\"]\n  28 [size=\"47607808\", alpha=\"0.17\", expect_size=\"23803904\"] \n  28 -> 35 [size =\"23803904\"]\n  28 -> 36 [size =\"23803904\"]\n  28 -> 40 [size =\"23803904\"]\n  29 [size=\"65198080\", alpha=\"0.05\", expect_size=\"32599040\"] \n  29 -> 35 [size =\"32599040\"]\n  30 [size=\"41695232\", alpha=\"0.08\", expect_size=\"20847616\"] \n  30 -> 35 [size =\"20847616\"]\n  30 -> 38 [size =\"20847616\"]\n  31 [size=\"19970048\", alpha=\"0.16\", expect_size=\"9985024\"] \n  32 [size=\"54294528\", alpha=\"0.15\", expect_size=\"27147264\"] \n  32 -> 38 [size =\"27147264\"]\n  32 -> 39 [size =\"27147264\"]\n  32 -> 40 [size =\"27147264\"]\n  33 [size=\"62380032\", alpha=\"0.14\", expect_size=\"31190016\"] \n  33 -> 35 [size =\"31190016\"]\n  33 -> 40 [size =\"31190016\"]\n  34 [size=\"31903744\", alpha=\"0.17\", expect_size=\"15951872\"] \n  34 -> 37 [size =\"15951872\"]\n  34 -> 40 [size =\"15951872\"]\n  35 [size=\"79267840\", alpha=\"0.03\", expect_size=\"39633920\"] \n  35 -> 43 [size =\"39633920\"]\n  35 -> 44 [size =\"39633920\"]\n  35 -> 45 [size =\"39633920\"]\n  36 [size=\"46045184\", alpha=\"0.05\", expect_size=\"23022592\"] \n  36 -> 42 [size =\"23022592\"]\n  36 -> 45 [size =\"23022592\"]\n  37 [size=\"78667776\", alpha=\"0.05\", expect_size=\"39333888\"] \n  37 -> 46 [size =\"39333888\"]\n  38 [size=\"25739264\", alpha=\"0.06\", expect_size=\"12869632\"] \n  38 -> 41 [size =\"12869632\"]\n  38 -> 42 [size =\"12869632\"]\n  39 [size=\"11982848\", alpha=\"0.19\", expect_size=\"5991424\"] \n  40 [size=\"33249280\", alpha=\"0.13\", expect_size=\"16624640\"] \n  40 -> 44 [size =\"16624640\"]\n  40 -> 45 [size =\"16624640\"]\n  40 -> 46 [size =\"16624640\"]\n  41 [size=\"73201664\", alpha=\"0.19\", expect_size=\"36600832\"] \n  41 -> 48 [size =\"36600832\"]\n  41 -> 49 [size =\"36600832\"]\n  42 [size=\"53456896\", alpha=\"0.12\", expect_size=\"26728448\"] \n  43 [size=\"31109120\", alpha=\"0.05\", expect_size=\"15554560\"] \n  43 -> 47 [size =\"15554560\"]\n  43 -> 50 [size =\"15554560\"]\n  44 [size=\"99246080\", alpha=\"0.16\", expect_size=\"49623040\"] \n  44 -> 47 [size =\"49623040\"]\n  45 [size=\"85563392\", alpha=\"0.08\", expect_size=\"42781696\"] \n  45 -> 48 [size =\"42781696\"]\n  46 [size=\"100392960\", alpha=\"0.14\", expect_size=\"50196480\"] \n  46 -> 47 [size =\"50196480\"]\n  46 -> 48 [size =\"50196480\"]\n  47 [size=\"29605888\", alpha=\"0.02\", expect_size=\"14802944\"] \n  48 [size=\"51046400\", alpha=\"0.17\", expect_size=\"25523200\"] \n  49 [size=\"79462400\", alpha=\"0.04\", expect_size=\"39731200\"] \n  50 [size=\"75311104\", alpha=\"0.17\", expect_size=\"37655552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.598.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40374272\", alpha=\"0.05\", expect_size=\"20187136\"] \n  1 -> 38 [size =\"20187136\"]\n  1 -> 44 [size =\"20187136\"]\n  1 -> 45 [size =\"20187136\"]\n  2 [size=\"94920704\", alpha=\"0.19\", expect_size=\"47460352\"] \n  2 -> 38 [size =\"47460352\"]\n  2 -> 39 [size =\"47460352\"]\n  2 -> 40 [size =\"47460352\"]\n  2 -> 42 [size =\"47460352\"]\n  2 -> 47 [size =\"47460352\"]\n  2 -> 49 [size =\"47460352\"]\n  3 [size=\"75110400\", alpha=\"0.09\", expect_size=\"37555200\"] \n  3 -> 36 [size =\"37555200\"]\n  3 -> 39 [size =\"37555200\"]\n  3 -> 42 [size =\"37555200\"]\n  3 -> 45 [size =\"37555200\"]\n  3 -> 46 [size =\"37555200\"]\n  3 -> 47 [size =\"37555200\"]\n  4 [size=\"52996096\", alpha=\"0.10\", expect_size=\"26498048\"] \n  4 -> 33 [size =\"26498048\"]\n  4 -> 36 [size =\"26498048\"]\n  4 -> 39 [size =\"26498048\"]\n  4 -> 41 [size =\"26498048\"]\n  4 -> 42 [size =\"26498048\"]\n  4 -> 43 [size =\"26498048\"]\n  4 -> 45 [size =\"26498048\"]\n  4 -> 47 [size =\"26498048\"]\n  4 -> 49 [size =\"26498048\"]\n  5 [size=\"43626496\", alpha=\"0.11\", expect_size=\"21813248\"] \n  5 -> 36 [size =\"21813248\"]\n  5 -> 38 [size =\"21813248\"]\n  5 -> 39 [size =\"21813248\"]\n  5 -> 41 [size =\"21813248\"]\n  5 -> 42 [size =\"21813248\"]\n  5 -> 47 [size =\"21813248\"]\n  5 -> 48 [size =\"21813248\"]\n  6 [size=\"82223104\", alpha=\"0.16\", expect_size=\"41111552\"] \n  6 -> 35 [size =\"41111552\"]\n  6 -> 36 [size =\"41111552\"]\n  6 -> 41 [size =\"41111552\"]\n  6 -> 41 [size =\"41111552\"]\n  6 -> 47 [size =\"41111552\"]\n  6 -> 48 [size =\"41111552\"]\n  6 -> 49 [size =\"41111552\"]\n  7 [size=\"101449728\", alpha=\"0.00\", expect_size=\"50724864\"] \n  7 -> 33 [size =\"50724864\"]\n  7 -> 35 [size =\"50724864\"]\n  7 -> 38 [size =\"50724864\"]\n  7 -> 41 [size =\"50724864\"]\n  7 -> 45 [size =\"50724864\"]\n  7 -> 48 [size =\"50724864\"]\n  7 -> 49 [size =\"50724864\"]\n  8 [size=\"85155840\", alpha=\"0.01\", expect_size=\"42577920\"] \n  8 -> 35 [size =\"42577920\"]\n  8 -> 36 [size =\"42577920\"]\n  8 -> 40 [size =\"42577920\"]\n  8 -> 45 [size =\"42577920\"]\n  8 -> 48 [size =\"42577920\"]\n  8 -> 49 [size =\"42577920\"]\n  9 [size=\"87097344\", alpha=\"0.08\", expect_size=\"43548672\"] \n  9 -> 36 [size =\"43548672\"]\n  9 -> 38 [size =\"43548672\"]\n  9 -> 40 [size =\"43548672\"]\n  9 -> 42 [size =\"43548672\"]\n  9 -> 45 [size =\"43548672\"]\n  9 -> 48 [size =\"43548672\"]\n  9 -> 50 [size =\"43548672\"]\n  10 [size=\"52459520\", alpha=\"0.17\", expect_size=\"26229760\"] \n  10 -> 33 [size =\"26229760\"]\n  10 -> 35 [size =\"26229760\"]\n  10 -> 37 [size =\"26229760\"]\n  10 -> 38 [size =\"26229760\"]\n  10 -> 49 [size =\"26229760\"]\n  10 -> 50 [size =\"26229760\"]\n  11 [size=\"95770624\", alpha=\"0.09\", expect_size=\"47885312\"] \n  11 -> 34 [size =\"47885312\"]\n  11 -> 35 [size =\"47885312\"]\n  11 -> 38 [size =\"47885312\"]\n  11 -> 44 [size =\"47885312\"]\n  11 -> 47 [size =\"47885312\"]\n  11 -> 50 [size =\"47885312\"]\n  12 [size=\"23756800\", alpha=\"0.06\", expect_size=\"11878400\"] \n  12 -> 38 [size =\"11878400\"]\n  12 -> 42 [size =\"11878400\"]\n  12 -> 45 [size =\"11878400\"]\n  12 -> 47 [size =\"11878400\"]\n  12 -> 48 [size =\"11878400\"]\n  12 -> 50 [size =\"11878400\"]\n  13 [size=\"17119232\", alpha=\"0.03\", expect_size=\"8559616\"] \n  13 -> 42 [size =\"8559616\"]\n  13 -> 42 [size =\"8559616\"]\n  13 -> 44 [size =\"8559616\"]\n  13 -> 45 [size =\"8559616\"]\n  14 [size=\"59668480\", alpha=\"0.16\", expect_size=\"29834240\"] \n  14 -> 33 [size =\"29834240\"]\n  14 -> 44 [size =\"29834240\"]\n  14 -> 44 [size =\"29834240\"]\n  15 [size=\"10606592\", alpha=\"0.10\", expect_size=\"5303296\"] \n  15 -> 39 [size =\"5303296\"]\n  15 -> 42 [size =\"5303296\"]\n  15 -> 47 [size =\"5303296\"]\n  16 [size=\"62015488\", alpha=\"0.13\", expect_size=\"31007744\"] \n  16 -> 35 [size =\"31007744\"]\n  16 -> 39 [size =\"31007744\"]\n  16 -> 41 [size =\"31007744\"]\n  16 -> 44 [size =\"31007744\"]\n  16 -> 49 [size =\"31007744\"]\n  17 [size=\"44161024\", alpha=\"0.14\", expect_size=\"22080512\"] \n  17 -> 33 [size =\"22080512\"]\n  17 -> 39 [size =\"22080512\"]\n  17 -> 41 [size =\"22080512\"]\n  17 -> 45 [size =\"22080512\"]\n  17 -> 49 [size =\"22080512\"]\n  17 -> 50 [size =\"22080512\"]\n  18 [size=\"45785088\", alpha=\"0.18\", expect_size=\"22892544\"] \n  18 -> 34 [size =\"22892544\"]\n  18 -> 44 [size =\"22892544\"]\n  18 -> 48 [size =\"22892544\"]\n  19 [size=\"49573888\", alpha=\"0.05\", expect_size=\"24786944\"] \n  19 -> 33 [size =\"24786944\"]\n  19 -> 41 [size =\"24786944\"]\n  19 -> 42 [size =\"24786944\"]\n  19 -> 47 [size =\"24786944\"]\n  20 [size=\"85620736\", alpha=\"0.16\", expect_size=\"42810368\"] \n  20 -> 33 [size =\"42810368\"]\n  20 -> 34 [size =\"42810368\"]\n  20 -> 40 [size =\"42810368\"]\n  20 -> 41 [size =\"42810368\"]\n  20 -> 42 [size =\"42810368\"]\n  20 -> 45 [size =\"42810368\"]\n  20 -> 48 [size =\"42810368\"]\n  21 [size=\"73101312\", alpha=\"0.14\", expect_size=\"36550656\"] \n  21 -> 33 [size =\"36550656\"]\n  21 -> 34 [size =\"36550656\"]\n  21 -> 35 [size =\"36550656\"]\n  21 -> 36 [size =\"36550656\"]\n  21 -> 39 [size =\"36550656\"]\n  21 -> 41 [size =\"36550656\"]\n  21 -> 45 [size =\"36550656\"]\n  21 -> 47 [size =\"36550656\"]\n  21 -> 49 [size =\"36550656\"]\n  22 [size=\"23080960\", alpha=\"0.10\", expect_size=\"11540480\"] \n  22 -> 33 [size =\"11540480\"]\n  22 -> 36 [size =\"11540480\"]\n  22 -> 38 [size =\"11540480\"]\n  22 -> 44 [size =\"11540480\"]\n  22 -> 47 [size =\"11540480\"]\n  22 -> 49 [size =\"11540480\"]\n  23 [size=\"52817920\", alpha=\"0.19\", expect_size=\"26408960\"] \n  23 -> 33 [size =\"26408960\"]\n  23 -> 39 [size =\"26408960\"]\n  23 -> 44 [size =\"26408960\"]\n  23 -> 45 [size =\"26408960\"]\n  23 -> 47 [size =\"26408960\"]\n  23 -> 48 [size =\"26408960\"]\n  23 -> 49 [size =\"26408960\"]\n  24 [size=\"67768320\", alpha=\"0.18\", expect_size=\"33884160\"] \n  24 -> 34 [size =\"33884160\"]\n  24 -> 35 [size =\"33884160\"]\n  24 -> 38 [size =\"33884160\"]\n  24 -> 39 [size =\"33884160\"]\n  24 -> 41 [size =\"33884160\"]\n  24 -> 46 [size =\"33884160\"]\n  24 -> 49 [size =\"33884160\"]\n  25 [size=\"50923520\", alpha=\"0.03\", expect_size=\"25461760\"] \n  25 -> 33 [size =\"25461760\"]\n  25 -> 38 [size =\"25461760\"]\n  25 -> 39 [size =\"25461760\"]\n  25 -> 47 [size =\"25461760\"]\n  26 [size=\"98084864\", alpha=\"0.04\", expect_size=\"49042432\"] \n  26 -> 33 [size =\"49042432\"]\n  26 -> 35 [size =\"49042432\"]\n  26 -> 38 [size =\"49042432\"]\n  26 -> 39 [size =\"49042432\"]\n  26 -> 40 [size =\"49042432\"]\n  26 -> 42 [size =\"49042432\"]\n  26 -> 44 [size =\"49042432\"]\n  26 -> 45 [size =\"49042432\"]\n  26 -> 47 [size =\"49042432\"]\n  27 [size=\"67035136\", alpha=\"0.04\", expect_size=\"33517568\"] \n  27 -> 33 [size =\"33517568\"]\n  27 -> 34 [size =\"33517568\"]\n  27 -> 41 [size =\"33517568\"]\n  27 -> 47 [size =\"33517568\"]\n  27 -> 48 [size =\"33517568\"]\n  28 [size=\"40148992\", alpha=\"0.19\", expect_size=\"20074496\"] \n  28 -> 33 [size =\"20074496\"]\n  28 -> 37 [size =\"20074496\"]\n  28 -> 38 [size =\"20074496\"]\n  28 -> 39 [size =\"20074496\"]\n  28 -> 41 [size =\"20074496\"]\n  28 -> 44 [size =\"20074496\"]\n  28 -> 49 [size =\"20074496\"]\n  29 [size=\"30720000\", alpha=\"0.11\", expect_size=\"15360000\"] \n  29 -> 33 [size =\"15360000\"]\n  29 -> 36 [size =\"15360000\"]\n  29 -> 40 [size =\"15360000\"]\n  29 -> 41 [size =\"15360000\"]\n  29 -> 49 [size =\"15360000\"]\n  30 [size=\"54452224\", alpha=\"0.12\", expect_size=\"27226112\"] \n  30 -> 38 [size =\"27226112\"]\n  30 -> 40 [size =\"27226112\"]\n  30 -> 40 [size =\"27226112\"]\n  30 -> 42 [size =\"27226112\"]\n  30 -> 49 [size =\"27226112\"]\n  31 [size=\"37834752\", alpha=\"0.11\", expect_size=\"18917376\"] \n  31 -> 38 [size =\"18917376\"]\n  31 -> 39 [size =\"18917376\"]\n  31 -> 42 [size =\"18917376\"]\n  31 -> 45 [size =\"18917376\"]\n  31 -> 49 [size =\"18917376\"]\n  32 [size=\"10756096\", alpha=\"0.13\", expect_size=\"5378048\"] \n  32 -> 35 [size =\"5378048\"]\n  32 -> 37 [size =\"5378048\"]\n  32 -> 38 [size =\"5378048\"]\n  32 -> 40 [size =\"5378048\"]\n  32 -> 45 [size =\"5378048\"]\n  32 -> 47 [size =\"5378048\"]\n  33 [size=\"57657344\", alpha=\"0.16\", expect_size=\"28828672\"] \n  34 [size=\"54417408\", alpha=\"0.09\", expect_size=\"27208704\"] \n  35 [size=\"43548672\", alpha=\"0.03\", expect_size=\"21774336\"] \n  36 [size=\"58193920\", alpha=\"0.08\", expect_size=\"29096960\"] \n  37 [size=\"75716608\", alpha=\"0.19\", expect_size=\"37858304\"] \n  38 [size=\"92712960\", alpha=\"0.18\", expect_size=\"46356480\"] \n  39 [size=\"89479168\", alpha=\"0.06\", expect_size=\"44739584\"] \n  40 [size=\"48259072\", alpha=\"0.09\", expect_size=\"24129536\"] \n  41 [size=\"11022336\", alpha=\"0.06\", expect_size=\"5511168\"] \n  42 [size=\"63057920\", alpha=\"0.05\", expect_size=\"31528960\"] \n  43 [size=\"28895232\", alpha=\"0.13\", expect_size=\"14447616\"] \n  44 [size=\"103909376\", alpha=\"0.14\", expect_size=\"51954688\"] \n  45 [size=\"54171648\", alpha=\"0.03\", expect_size=\"27085824\"] \n  46 [size=\"68542464\", alpha=\"0.10\", expect_size=\"34271232\"] \n  47 [size=\"104181760\", alpha=\"0.10\", expect_size=\"52090880\"] \n  48 [size=\"100395008\", alpha=\"0.15\", expect_size=\"50197504\"] \n  49 [size=\"92481536\", alpha=\"0.05\", expect_size=\"46240768\"] \n  50 [size=\"25161728\", alpha=\"0.05\", expect_size=\"12580864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.599.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49164800\", alpha=\"0.10\", expect_size=\"19665920\"] \n  1 -> 8 [size =\"19665920\"]\n  1 -> 12 [size =\"19665920\"]\n  2 [size=\"46850560\", alpha=\"0.12\", expect_size=\"18740224\"] \n  3 [size=\"54210560\", alpha=\"0.18\", expect_size=\"21684224\"] \n  3 -> 10 [size =\"21684224\"]\n  3 -> 13 [size =\"21684224\"]\n  4 [size=\"49136640\", alpha=\"0.13\", expect_size=\"19654656\"] \n  4 -> 10 [size =\"19654656\"]\n  4 -> 12 [size =\"19654656\"]\n  4 -> 13 [size =\"19654656\"]\n  5 [size=\"87252480\", alpha=\"0.19\", expect_size=\"34900992\"] \n  5 -> 9 [size =\"34900992\"]\n  5 -> 10 [size =\"34900992\"]\n  6 [size=\"78840320\", alpha=\"0.01\", expect_size=\"31536128\"] \n  6 -> 10 [size =\"31536128\"]\n  7 [size=\"43737600\", alpha=\"0.12\", expect_size=\"17495040\"] \n  7 -> 8 [size =\"17495040\"]\n  7 -> 11 [size =\"17495040\"]\n  8 [size=\"25635840\", alpha=\"0.06\", expect_size=\"10254336\"] \n  8 -> 18 [size =\"10254336\"]\n  9 [size=\"60029440\", alpha=\"0.01\", expect_size=\"24011776\"] \n  9 -> 14 [size =\"24011776\"]\n  9 -> 15 [size =\"24011776\"]\n  9 -> 17 [size =\"24011776\"]\n  10 [size=\"73328640\", alpha=\"0.13\", expect_size=\"29331456\"] \n  10 -> 14 [size =\"29331456\"]\n  10 -> 19 [size =\"29331456\"]\n  10 -> 20 [size =\"29331456\"]\n  11 [size=\"17763840\", alpha=\"0.03\", expect_size=\"7105536\"] \n  11 -> 14 [size =\"7105536\"]\n  11 -> 15 [size =\"7105536\"]\n  12 [size=\"74493440\", alpha=\"0.03\", expect_size=\"29797376\"] \n  12 -> 16 [size =\"29797376\"]\n  13 [size=\"26944000\", alpha=\"0.05\", expect_size=\"10777600\"] \n  13 -> 15 [size =\"10777600\"]\n  13 -> 16 [size =\"10777600\"]\n  13 -> 18 [size =\"10777600\"]\n  14 [size=\"17963520\", alpha=\"0.16\", expect_size=\"7185408\"] \n  14 -> 22 [size =\"7185408\"]\n  14 -> 23 [size =\"7185408\"]\n  14 -> 27 [size =\"7185408\"]\n  15 [size=\"95057920\", alpha=\"0.10\", expect_size=\"38023168\"] \n  16 [size=\"88645120\", alpha=\"0.13\", expect_size=\"35458048\"] \n  17 [size=\"91719680\", alpha=\"0.19\", expect_size=\"36687872\"] \n  17 -> 24 [size =\"36687872\"]\n  18 [size=\"44490240\", alpha=\"0.16\", expect_size=\"17796096\"] \n  18 -> 21 [size =\"17796096\"]\n  18 -> 22 [size =\"17796096\"]\n  18 -> 23 [size =\"17796096\"]\n  18 -> 24 [size =\"17796096\"]\n  18 -> 25 [size =\"17796096\"]\n  18 -> 26 [size =\"17796096\"]\n  19 [size=\"80832000\", alpha=\"0.11\", expect_size=\"32332800\"] \n  19 -> 23 [size =\"32332800\"]\n  19 -> 25 [size =\"32332800\"]\n  20 [size=\"87720960\", alpha=\"0.13\", expect_size=\"35088384\"] \n  20 -> 22 [size =\"35088384\"]\n  21 [size=\"44610560\", alpha=\"0.02\", expect_size=\"17844224\"] \n  21 -> 28 [size =\"17844224\"]\n  21 -> 30 [size =\"17844224\"]\n  21 -> 32 [size =\"17844224\"]\n  22 [size=\"63232000\", alpha=\"0.16\", expect_size=\"25292800\"] \n  22 -> 28 [size =\"25292800\"]\n  22 -> 30 [size =\"25292800\"]\n  22 -> 32 [size =\"25292800\"]\n  22 -> 33 [size =\"25292800\"]\n  23 [size=\"79311360\", alpha=\"0.17\", expect_size=\"31724544\"] \n  23 -> 28 [size =\"31724544\"]\n  23 -> 29 [size =\"31724544\"]\n  24 [size=\"108682240\", alpha=\"0.04\", expect_size=\"43472896\"] \n  24 -> 31 [size =\"43472896\"]\n  24 -> 32 [size =\"43472896\"]\n  25 [size=\"88020480\", alpha=\"0.04\", expect_size=\"35208192\"] \n  25 -> 32 [size =\"35208192\"]\n  26 [size=\"28935680\", alpha=\"0.15\", expect_size=\"11574272\"] \n  26 -> 33 [size =\"11574272\"]\n  27 [size=\"107883520\", alpha=\"0.11\", expect_size=\"43153408\"] \n  27 -> 30 [size =\"43153408\"]\n  28 [size=\"101104640\", alpha=\"0.09\", expect_size=\"40441856\"] \n  28 -> 34 [size =\"40441856\"]\n  29 [size=\"75607040\", alpha=\"0.16\", expect_size=\"30242816\"] \n  29 -> 39 [size =\"30242816\"]\n  30 [size=\"23011840\", alpha=\"0.12\", expect_size=\"9204736\"] \n  30 -> 37 [size =\"9204736\"]\n  31 [size=\"101941760\", alpha=\"0.09\", expect_size=\"40776704\"] \n  31 -> 34 [size =\"40776704\"]\n  31 -> 36 [size =\"40776704\"]\n  32 [size=\"112527360\", alpha=\"0.17\", expect_size=\"45010944\"] \n  32 -> 34 [size =\"45010944\"]\n  32 -> 35 [size =\"45010944\"]\n  32 -> 37 [size =\"45010944\"]\n  32 -> 38 [size =\"45010944\"]\n  33 [size=\"88514560\", alpha=\"0.07\", expect_size=\"35405824\"] \n  34 [size=\"71001600\", alpha=\"0.17\", expect_size=\"28400640\"] \n  34 -> 40 [size =\"28400640\"]\n  34 -> 42 [size =\"28400640\"]\n  34 -> 45 [size =\"28400640\"]\n  35 [size=\"96020480\", alpha=\"0.02\", expect_size=\"38408192\"] \n  35 -> 41 [size =\"38408192\"]\n  36 [size=\"119754240\", alpha=\"0.20\", expect_size=\"47901696\"] \n  36 -> 42 [size =\"47901696\"]\n  36 -> 44 [size =\"47901696\"]\n  36 -> 46 [size =\"47901696\"]\n  37 [size=\"89973760\", alpha=\"0.10\", expect_size=\"35989504\"] \n  37 -> 42 [size =\"35989504\"]\n  37 -> 46 [size =\"35989504\"]\n  38 [size=\"37312000\", alpha=\"0.07\", expect_size=\"14924800\"] \n  38 -> 41 [size =\"14924800\"]\n  38 -> 44 [size =\"14924800\"]\n  38 -> 45 [size =\"14924800\"]\n  39 [size=\"92257280\", alpha=\"0.14\", expect_size=\"36902912\"] \n  39 -> 43 [size =\"36902912\"]\n  39 -> 44 [size =\"36902912\"]\n  39 -> 45 [size =\"36902912\"]\n  40 [size=\"65809920\", alpha=\"0.14\", expect_size=\"26323968\"] \n  40 -> 47 [size =\"26323968\"]\n  41 [size=\"18188800\", alpha=\"0.00\", expect_size=\"7275520\"] \n  41 -> 47 [size =\"7275520\"]\n  42 [size=\"72015360\", alpha=\"0.14\", expect_size=\"28806144\"] \n  43 [size=\"52751360\", alpha=\"0.19\", expect_size=\"21100544\"] \n  43 -> 48 [size =\"21100544\"]\n  44 [size=\"92195840\", alpha=\"0.01\", expect_size=\"36878336\"] \n  44 -> 48 [size =\"36878336\"]\n  44 -> 50 [size =\"36878336\"]\n  45 [size=\"77245440\", alpha=\"0.15\", expect_size=\"30898176\"] \n  45 -> 47 [size =\"30898176\"]\n  45 -> 49 [size =\"30898176\"]\n  46 [size=\"89850880\", alpha=\"0.12\", expect_size=\"35940352\"] \n  46 -> 50 [size =\"35940352\"]\n  47 [size=\"87587840\", alpha=\"0.05\", expect_size=\"35035136\"] \n  48 [size=\"31106560\", alpha=\"0.13\", expect_size=\"12442624\"] \n  49 [size=\"69749760\", alpha=\"0.12\", expect_size=\"27899904\"] \n  50 [size=\"35320320\", alpha=\"0.12\", expect_size=\"14128128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95795200\", alpha=\"0.16\", expect_size=\"38318080\"] \n  1 -> 32 [size =\"38318080\"]\n  1 -> 34 [size =\"38318080\"]\n  1 -> 39 [size =\"38318080\"]\n  1 -> 42 [size =\"38318080\"]\n  1 -> 43 [size =\"38318080\"]\n  1 -> 44 [size =\"38318080\"]\n  1 -> 50 [size =\"38318080\"]\n  2 [size=\"73784320\", alpha=\"0.13\", expect_size=\"29513728\"] \n  2 -> 32 [size =\"29513728\"]\n  2 -> 36 [size =\"29513728\"]\n  2 -> 41 [size =\"29513728\"]\n  2 -> 43 [size =\"29513728\"]\n  2 -> 44 [size =\"29513728\"]\n  2 -> 45 [size =\"29513728\"]\n  2 -> 46 [size =\"29513728\"]\n  2 -> 50 [size =\"29513728\"]\n  3 [size=\"88637440\", alpha=\"0.15\", expect_size=\"35454976\"] \n  3 -> 44 [size =\"35454976\"]\n  3 -> 48 [size =\"35454976\"]\n  3 -> 50 [size =\"35454976\"]\n  4 [size=\"93969920\", alpha=\"0.09\", expect_size=\"37587968\"] \n  4 -> 34 [size =\"37587968\"]\n  4 -> 35 [size =\"37587968\"]\n  4 -> 36 [size =\"37587968\"]\n  4 -> 37 [size =\"37587968\"]\n  4 -> 39 [size =\"37587968\"]\n  4 -> 41 [size =\"37587968\"]\n  4 -> 48 [size =\"37587968\"]\n  4 -> 50 [size =\"37587968\"]\n  5 [size=\"116938240\", alpha=\"0.12\", expect_size=\"46775296\"] \n  5 -> 33 [size =\"46775296\"]\n  5 -> 34 [size =\"46775296\"]\n  5 -> 35 [size =\"46775296\"]\n  5 -> 36 [size =\"46775296\"]\n  5 -> 37 [size =\"46775296\"]\n  5 -> 40 [size =\"46775296\"]\n  5 -> 41 [size =\"46775296\"]\n  5 -> 42 [size =\"46775296\"]\n  5 -> 44 [size =\"46775296\"]\n  5 -> 46 [size =\"46775296\"]\n  5 -> 48 [size =\"46775296\"]\n  6 [size=\"47024640\", alpha=\"0.02\", expect_size=\"18809856\"] \n  6 -> 32 [size =\"18809856\"]\n  6 -> 36 [size =\"18809856\"]\n  6 -> 37 [size =\"18809856\"]\n  6 -> 44 [size =\"18809856\"]\n  6 -> 45 [size =\"18809856\"]\n  6 -> 46 [size =\"18809856\"]\n  6 -> 47 [size =\"18809856\"]\n  7 [size=\"118540800\", alpha=\"0.11\", expect_size=\"47416320\"] \n  7 -> 35 [size =\"47416320\"]\n  7 -> 39 [size =\"47416320\"]\n  7 -> 44 [size =\"47416320\"]\n  7 -> 44 [size =\"47416320\"]\n  7 -> 45 [size =\"47416320\"]\n  7 -> 46 [size =\"47416320\"]\n  8 [size=\"29639680\", alpha=\"0.02\", expect_size=\"11855872\"] \n  8 -> 32 [size =\"11855872\"]\n  8 -> 33 [size =\"11855872\"]\n  8 -> 35 [size =\"11855872\"]\n  8 -> 37 [size =\"11855872\"]\n  8 -> 39 [size =\"11855872\"]\n  8 -> 44 [size =\"11855872\"]\n  8 -> 49 [size =\"11855872\"]\n  9 [size=\"19985920\", alpha=\"0.07\", expect_size=\"7994368\"] \n  9 -> 35 [size =\"7994368\"]\n  9 -> 36 [size =\"7994368\"]\n  9 -> 39 [size =\"7994368\"]\n  9 -> 41 [size =\"7994368\"]\n  9 -> 44 [size =\"7994368\"]\n  9 -> 45 [size =\"7994368\"]\n  9 -> 47 [size =\"7994368\"]\n  9 -> 48 [size =\"7994368\"]\n  9 -> 49 [size =\"7994368\"]\n  10 [size=\"113602560\", alpha=\"0.11\", expect_size=\"45441024\"] \n  10 -> 33 [size =\"45441024\"]\n  10 -> 34 [size =\"45441024\"]\n  10 -> 35 [size =\"45441024\"]\n  10 -> 36 [size =\"45441024\"]\n  10 -> 38 [size =\"45441024\"]\n  10 -> 39 [size =\"45441024\"]\n  10 -> 43 [size =\"45441024\"]\n  10 -> 44 [size =\"45441024\"]\n  10 -> 48 [size =\"45441024\"]\n  10 -> 49 [size =\"45441024\"]\n  11 [size=\"69731840\", alpha=\"0.18\", expect_size=\"27892736\"] \n  11 -> 32 [size =\"27892736\"]\n  11 -> 33 [size =\"27892736\"]\n  11 -> 35 [size =\"27892736\"]\n  11 -> 36 [size =\"27892736\"]\n  11 -> 40 [size =\"27892736\"]\n  11 -> 43 [size =\"27892736\"]\n  11 -> 48 [size =\"27892736\"]\n  11 -> 49 [size =\"27892736\"]\n  12 [size=\"49031680\", alpha=\"0.17\", expect_size=\"19612672\"] \n  12 -> 32 [size =\"19612672\"]\n  12 -> 33 [size =\"19612672\"]\n  12 -> 34 [size =\"19612672\"]\n  12 -> 35 [size =\"19612672\"]\n  12 -> 36 [size =\"19612672\"]\n  12 -> 39 [size =\"19612672\"]\n  12 -> 44 [size =\"19612672\"]\n  12 -> 46 [size =\"19612672\"]\n  13 [size=\"128043520\", alpha=\"0.00\", expect_size=\"51217408\"] \n  13 -> 32 [size =\"51217408\"]\n  13 -> 33 [size =\"51217408\"]\n  13 -> 35 [size =\"51217408\"]\n  13 -> 37 [size =\"51217408\"]\n  13 -> 39 [size =\"51217408\"]\n  13 -> 43 [size =\"51217408\"]\n  13 -> 46 [size =\"51217408\"]\n  13 -> 48 [size =\"51217408\"]\n  13 -> 50 [size =\"51217408\"]\n  14 [size=\"96148480\", alpha=\"0.13\", expect_size=\"38459392\"] \n  14 -> 32 [size =\"38459392\"]\n  14 -> 33 [size =\"38459392\"]\n  14 -> 35 [size =\"38459392\"]\n  14 -> 36 [size =\"38459392\"]\n  14 -> 37 [size =\"38459392\"]\n  14 -> 39 [size =\"38459392\"]\n  14 -> 42 [size =\"38459392\"]\n  14 -> 44 [size =\"38459392\"]\n  14 -> 46 [size =\"38459392\"]\n  14 -> 49 [size =\"38459392\"]\n  14 -> 50 [size =\"38459392\"]\n  15 [size=\"33018880\", alpha=\"0.11\", expect_size=\"13207552\"] \n  15 -> 32 [size =\"13207552\"]\n  15 -> 33 [size =\"13207552\"]\n  15 -> 37 [size =\"13207552\"]\n  15 -> 39 [size =\"13207552\"]\n  15 -> 42 [size =\"13207552\"]\n  15 -> 43 [size =\"13207552\"]\n  15 -> 44 [size =\"13207552\"]\n  15 -> 45 [size =\"13207552\"]\n  16 [size=\"106109440\", alpha=\"0.04\", expect_size=\"42443776\"] \n  16 -> 32 [size =\"42443776\"]\n  16 -> 33 [size =\"42443776\"]\n  16 -> 39 [size =\"42443776\"]\n  16 -> 40 [size =\"42443776\"]\n  16 -> 44 [size =\"42443776\"]\n  16 -> 45 [size =\"42443776\"]\n  16 -> 46 [size =\"42443776\"]\n  16 -> 48 [size =\"42443776\"]\n  16 -> 50 [size =\"42443776\"]\n  17 [size=\"116915200\", alpha=\"0.20\", expect_size=\"46766080\"] \n  17 -> 33 [size =\"46766080\"]\n  17 -> 35 [size =\"46766080\"]\n  17 -> 36 [size =\"46766080\"]\n  17 -> 40 [size =\"46766080\"]\n  17 -> 43 [size =\"46766080\"]\n  17 -> 44 [size =\"46766080\"]\n  17 -> 45 [size =\"46766080\"]\n  17 -> 46 [size =\"46766080\"]\n  17 -> 48 [size =\"46766080\"]\n  17 -> 49 [size =\"46766080\"]\n  17 -> 50 [size =\"46766080\"]\n  18 [size=\"63316480\", alpha=\"0.18\", expect_size=\"25326592\"] \n  18 -> 32 [size =\"25326592\"]\n  18 -> 33 [size =\"25326592\"]\n  18 -> 35 [size =\"25326592\"]\n  18 -> 36 [size =\"25326592\"]\n  18 -> 39 [size =\"25326592\"]\n  18 -> 40 [size =\"25326592\"]\n  18 -> 44 [size =\"25326592\"]\n  18 -> 48 [size =\"25326592\"]\n  19 [size=\"73200640\", alpha=\"0.20\", expect_size=\"29280256\"] \n  19 -> 36 [size =\"29280256\"]\n  19 -> 39 [size =\"29280256\"]\n  19 -> 42 [size =\"29280256\"]\n  19 -> 43 [size =\"29280256\"]\n  19 -> 46 [size =\"29280256\"]\n  19 -> 49 [size =\"29280256\"]\n  19 -> 50 [size =\"29280256\"]\n  20 [size=\"112020480\", alpha=\"0.06\", expect_size=\"44808192\"] \n  20 -> 32 [size =\"44808192\"]\n  20 -> 35 [size =\"44808192\"]\n  20 -> 36 [size =\"44808192\"]\n  20 -> 39 [size =\"44808192\"]\n  20 -> 40 [size =\"44808192\"]\n  20 -> 41 [size =\"44808192\"]\n  20 -> 42 [size =\"44808192\"]\n  20 -> 48 [size =\"44808192\"]\n  20 -> 49 [size =\"44808192\"]\n  21 [size=\"57418240\", alpha=\"0.07\", expect_size=\"22967296\"] \n  21 -> 36 [size =\"22967296\"]\n  21 -> 37 [size =\"22967296\"]\n  21 -> 39 [size =\"22967296\"]\n  21 -> 41 [size =\"22967296\"]\n  21 -> 48 [size =\"22967296\"]\n  21 -> 49 [size =\"22967296\"]\n  22 [size=\"42695680\", alpha=\"0.18\", expect_size=\"17078272\"] \n  22 -> 32 [size =\"17078272\"]\n  22 -> 33 [size =\"17078272\"]\n  22 -> 35 [size =\"17078272\"]\n  22 -> 36 [size =\"17078272\"]\n  22 -> 37 [size =\"17078272\"]\n  22 -> 39 [size =\"17078272\"]\n  22 -> 40 [size =\"17078272\"]\n  22 -> 43 [size =\"17078272\"]\n  22 -> 46 [size =\"17078272\"]\n  22 -> 48 [size =\"17078272\"]\n  22 -> 50 [size =\"17078272\"]\n  23 [size=\"23482880\", alpha=\"0.01\", expect_size=\"9393152\"] \n  23 -> 33 [size =\"9393152\"]\n  23 -> 35 [size =\"9393152\"]\n  23 -> 35 [size =\"9393152\"]\n  23 -> 36 [size =\"9393152\"]\n  23 -> 37 [size =\"9393152\"]\n  23 -> 42 [size =\"9393152\"]\n  23 -> 43 [size =\"9393152\"]\n  23 -> 44 [size =\"9393152\"]\n  23 -> 46 [size =\"9393152\"]\n  23 -> 48 [size =\"9393152\"]\n  23 -> 50 [size =\"9393152\"]\n  24 [size=\"25451520\", alpha=\"0.19\", expect_size=\"10180608\"] \n  24 -> 32 [size =\"10180608\"]\n  24 -> 35 [size =\"10180608\"]\n  24 -> 36 [size =\"10180608\"]\n  24 -> 39 [size =\"10180608\"]\n  24 -> 40 [size =\"10180608\"]\n  24 -> 42 [size =\"10180608\"]\n  24 -> 45 [size =\"10180608\"]\n  24 -> 50 [size =\"10180608\"]\n  25 [size=\"100661760\", alpha=\"0.14\", expect_size=\"40264704\"] \n  25 -> 32 [size =\"40264704\"]\n  25 -> 33 [size =\"40264704\"]\n  25 -> 35 [size =\"40264704\"]\n  25 -> 36 [size =\"40264704\"]\n  25 -> 37 [size =\"40264704\"]\n  25 -> 39 [size =\"40264704\"]\n  25 -> 40 [size =\"40264704\"]\n  25 -> 44 [size =\"40264704\"]\n  25 -> 48 [size =\"40264704\"]\n  25 -> 49 [size =\"40264704\"]\n  25 -> 50 [size =\"40264704\"]\n  26 [size=\"49377280\", alpha=\"0.14\", expect_size=\"19750912\"] \n  26 -> 33 [size =\"19750912\"]\n  26 -> 33 [size =\"19750912\"]\n  26 -> 36 [size =\"19750912\"]\n  26 -> 37 [size =\"19750912\"]\n  26 -> 42 [size =\"19750912\"]\n  26 -> 48 [size =\"19750912\"]\n  26 -> 49 [size =\"19750912\"]\n  26 -> 50 [size =\"19750912\"]\n  27 [size=\"71575040\", alpha=\"0.13\", expect_size=\"28630016\"] \n  27 -> 33 [size =\"28630016\"]\n  27 -> 36 [size =\"28630016\"]\n  27 -> 37 [size =\"28630016\"]\n  27 -> 39 [size =\"28630016\"]\n  27 -> 40 [size =\"28630016\"]\n  27 -> 42 [size =\"28630016\"]\n  27 -> 44 [size =\"28630016\"]\n  27 -> 46 [size =\"28630016\"]\n  27 -> 49 [size =\"28630016\"]\n  27 -> 50 [size =\"28630016\"]\n  28 [size=\"70417920\", alpha=\"0.14\", expect_size=\"28167168\"] \n  28 -> 37 [size =\"28167168\"]\n  28 -> 38 [size =\"28167168\"]\n  28 -> 40 [size =\"28167168\"]\n  28 -> 41 [size =\"28167168\"]\n  28 -> 42 [size =\"28167168\"]\n  28 -> 43 [size =\"28167168\"]\n  28 -> 44 [size =\"28167168\"]\n  28 -> 48 [size =\"28167168\"]\n  28 -> 49 [size =\"28167168\"]\n  29 [size=\"61376000\", alpha=\"0.17\", expect_size=\"24550400\"] \n  29 -> 32 [size =\"24550400\"]\n  29 -> 33 [size =\"24550400\"]\n  29 -> 35 [size =\"24550400\"]\n  29 -> 36 [size =\"24550400\"]\n  29 -> 37 [size =\"24550400\"]\n  29 -> 42 [size =\"24550400\"]\n  29 -> 46 [size =\"24550400\"]\n  29 -> 48 [size =\"24550400\"]\n  29 -> 49 [size =\"24550400\"]\n  30 [size=\"59650560\", alpha=\"0.16\", expect_size=\"23860224\"] \n  30 -> 33 [size =\"23860224\"]\n  30 -> 33 [size =\"23860224\"]\n  30 -> 36 [size =\"23860224\"]\n  30 -> 37 [size =\"23860224\"]\n  30 -> 42 [size =\"23860224\"]\n  30 -> 43 [size =\"23860224\"]\n  30 -> 44 [size =\"23860224\"]\n  30 -> 45 [size =\"23860224\"]\n  30 -> 46 [size =\"23860224\"]\n  30 -> 48 [size =\"23860224\"]\n  30 -> 49 [size =\"23860224\"]\n  31 [size=\"96468480\", alpha=\"0.06\", expect_size=\"38587392\"] \n  31 -> 32 [size =\"38587392\"]\n  31 -> 33 [size =\"38587392\"]\n  31 -> 37 [size =\"38587392\"]\n  31 -> 44 [size =\"38587392\"]\n  31 -> 48 [size =\"38587392\"]\n  31 -> 49 [size =\"38587392\"]\n  31 -> 50 [size =\"38587392\"]\n  32 [size=\"18588160\", alpha=\"0.01\", expect_size=\"7435264\"] \n  33 [size=\"122616320\", alpha=\"0.16\", expect_size=\"49046528\"] \n  34 [size=\"130191360\", alpha=\"0.05\", expect_size=\"52076544\"] \n  35 [size=\"122176000\", alpha=\"0.17\", expect_size=\"48870400\"] \n  36 [size=\"84436480\", alpha=\"0.05\", expect_size=\"33774592\"] \n  37 [size=\"50895360\", alpha=\"0.10\", expect_size=\"20358144\"] \n  38 [size=\"126983680\", alpha=\"0.04\", expect_size=\"50793472\"] \n  39 [size=\"93306880\", alpha=\"0.09\", expect_size=\"37322752\"] \n  40 [size=\"74711040\", alpha=\"0.10\", expect_size=\"29884416\"] \n  41 [size=\"53729280\", alpha=\"0.18\", expect_size=\"21491712\"] \n  42 [size=\"86986240\", alpha=\"0.12\", expect_size=\"34794496\"] \n  43 [size=\"92439040\", alpha=\"0.07\", expect_size=\"36975616\"] \n  44 [size=\"67066880\", alpha=\"0.05\", expect_size=\"26826752\"] \n  45 [size=\"93905920\", alpha=\"0.17\", expect_size=\"37562368\"] \n  46 [size=\"74910720\", alpha=\"0.16\", expect_size=\"29964288\"] \n  47 [size=\"103078400\", alpha=\"0.04\", expect_size=\"41231360\"] \n  48 [size=\"46292480\", alpha=\"0.02\", expect_size=\"18516992\"] \n  49 [size=\"72729600\", alpha=\"0.08\", expect_size=\"29091840\"] \n  50 [size=\"124515840\", alpha=\"0.02\", expect_size=\"49806336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94203904\", alpha=\"0.14\", expect_size=\"47101952\"] \n  1 -> 31 [size =\"47101952\"]\n  1 -> 36 [size =\"47101952\"]\n  1 -> 38 [size =\"47101952\"]\n  1 -> 46 [size =\"47101952\"]\n  1 -> 47 [size =\"47101952\"]\n  1 -> 48 [size =\"47101952\"]\n  1 -> 49 [size =\"47101952\"]\n  1 -> 50 [size =\"47101952\"]\n  2 [size=\"91992064\", alpha=\"0.11\", expect_size=\"45996032\"] \n  2 -> 33 [size =\"45996032\"]\n  2 -> 34 [size =\"45996032\"]\n  2 -> 35 [size =\"45996032\"]\n  2 -> 37 [size =\"45996032\"]\n  2 -> 38 [size =\"45996032\"]\n  2 -> 44 [size =\"45996032\"]\n  2 -> 47 [size =\"45996032\"]\n  2 -> 48 [size =\"45996032\"]\n  3 [size=\"23152640\", alpha=\"0.15\", expect_size=\"11576320\"] \n  3 -> 31 [size =\"11576320\"]\n  3 -> 32 [size =\"11576320\"]\n  3 -> 36 [size =\"11576320\"]\n  3 -> 38 [size =\"11576320\"]\n  3 -> 40 [size =\"11576320\"]\n  3 -> 42 [size =\"11576320\"]\n  3 -> 43 [size =\"11576320\"]\n  3 -> 47 [size =\"11576320\"]\n  3 -> 48 [size =\"11576320\"]\n  4 [size=\"26726400\", alpha=\"0.01\", expect_size=\"13363200\"] \n  4 -> 31 [size =\"13363200\"]\n  4 -> 36 [size =\"13363200\"]\n  4 -> 36 [size =\"13363200\"]\n  4 -> 38 [size =\"13363200\"]\n  4 -> 40 [size =\"13363200\"]\n  4 -> 41 [size =\"13363200\"]\n  4 -> 42 [size =\"13363200\"]\n  4 -> 47 [size =\"13363200\"]\n  4 -> 48 [size =\"13363200\"]\n  5 [size=\"55425024\", alpha=\"0.15\", expect_size=\"27712512\"] \n  5 -> 32 [size =\"27712512\"]\n  5 -> 34 [size =\"27712512\"]\n  5 -> 36 [size =\"27712512\"]\n  5 -> 38 [size =\"27712512\"]\n  5 -> 44 [size =\"27712512\"]\n  5 -> 47 [size =\"27712512\"]\n  6 [size=\"89028608\", alpha=\"0.02\", expect_size=\"44514304\"] \n  6 -> 34 [size =\"44514304\"]\n  6 -> 36 [size =\"44514304\"]\n  6 -> 38 [size =\"44514304\"]\n  6 -> 41 [size =\"44514304\"]\n  6 -> 46 [size =\"44514304\"]\n  6 -> 47 [size =\"44514304\"]\n  7 [size=\"30679040\", alpha=\"0.19\", expect_size=\"15339520\"] \n  7 -> 32 [size =\"15339520\"]\n  7 -> 36 [size =\"15339520\"]\n  7 -> 38 [size =\"15339520\"]\n  7 -> 40 [size =\"15339520\"]\n  7 -> 41 [size =\"15339520\"]\n  7 -> 44 [size =\"15339520\"]\n  7 -> 47 [size =\"15339520\"]\n  8 [size=\"31979520\", alpha=\"0.07\", expect_size=\"15989760\"] \n  8 -> 34 [size =\"15989760\"]\n  8 -> 36 [size =\"15989760\"]\n  8 -> 38 [size =\"15989760\"]\n  8 -> 42 [size =\"15989760\"]\n  8 -> 46 [size =\"15989760\"]\n  8 -> 47 [size =\"15989760\"]\n  8 -> 47 [size =\"15989760\"]\n  8 -> 50 [size =\"15989760\"]\n  9 [size=\"31358976\", alpha=\"0.17\", expect_size=\"15679488\"] \n  9 -> 32 [size =\"15679488\"]\n  9 -> 33 [size =\"15679488\"]\n  9 -> 34 [size =\"15679488\"]\n  9 -> 36 [size =\"15679488\"]\n  9 -> 38 [size =\"15679488\"]\n  9 -> 41 [size =\"15679488\"]\n  9 -> 42 [size =\"15679488\"]\n  9 -> 46 [size =\"15679488\"]\n  9 -> 47 [size =\"15679488\"]\n  10 [size=\"34672640\", alpha=\"0.05\", expect_size=\"17336320\"] \n  10 -> 31 [size =\"17336320\"]\n  10 -> 32 [size =\"17336320\"]\n  10 -> 34 [size =\"17336320\"]\n  10 -> 36 [size =\"17336320\"]\n  10 -> 38 [size =\"17336320\"]\n  10 -> 41 [size =\"17336320\"]\n  10 -> 46 [size =\"17336320\"]\n  10 -> 46 [size =\"17336320\"]\n  10 -> 47 [size =\"17336320\"]\n  11 [size=\"104673280\", alpha=\"0.03\", expect_size=\"52336640\"] \n  11 -> 31 [size =\"52336640\"]\n  11 -> 32 [size =\"52336640\"]\n  11 -> 34 [size =\"52336640\"]\n  11 -> 35 [size =\"52336640\"]\n  11 -> 36 [size =\"52336640\"]\n  11 -> 38 [size =\"52336640\"]\n  11 -> 39 [size =\"52336640\"]\n  11 -> 40 [size =\"52336640\"]\n  11 -> 46 [size =\"52336640\"]\n  11 -> 47 [size =\"52336640\"]\n  12 [size=\"76503040\", alpha=\"0.12\", expect_size=\"38251520\"] \n  12 -> 32 [size =\"38251520\"]\n  12 -> 32 [size =\"38251520\"]\n  12 -> 34 [size =\"38251520\"]\n  12 -> 35 [size =\"38251520\"]\n  12 -> 36 [size =\"38251520\"]\n  12 -> 38 [size =\"38251520\"]\n  12 -> 42 [size =\"38251520\"]\n  12 -> 47 [size =\"38251520\"]\n  13 [size=\"32602112\", alpha=\"0.09\", expect_size=\"16301056\"] \n  13 -> 32 [size =\"16301056\"]\n  13 -> 34 [size =\"16301056\"]\n  13 -> 36 [size =\"16301056\"]\n  13 -> 37 [size =\"16301056\"]\n  13 -> 38 [size =\"16301056\"]\n  13 -> 47 [size =\"16301056\"]\n  14 [size=\"103880704\", alpha=\"0.18\", expect_size=\"51940352\"] \n  14 -> 32 [size =\"51940352\"]\n  14 -> 34 [size =\"51940352\"]\n  14 -> 38 [size =\"51940352\"]\n  14 -> 39 [size =\"51940352\"]\n  14 -> 41 [size =\"51940352\"]\n  14 -> 47 [size =\"51940352\"]\n  14 -> 49 [size =\"51940352\"]\n  15 [size=\"15257600\", alpha=\"0.20\", expect_size=\"7628800\"] \n  15 -> 31 [size =\"7628800\"]\n  15 -> 35 [size =\"7628800\"]\n  15 -> 36 [size =\"7628800\"]\n  15 -> 39 [size =\"7628800\"]\n  15 -> 42 [size =\"7628800\"]\n  15 -> 47 [size =\"7628800\"]\n  15 -> 48 [size =\"7628800\"]\n  16 [size=\"85082112\", alpha=\"0.20\", expect_size=\"42541056\"] \n  16 -> 31 [size =\"42541056\"]\n  16 -> 32 [size =\"42541056\"]\n  16 -> 35 [size =\"42541056\"]\n  16 -> 36 [size =\"42541056\"]\n  16 -> 37 [size =\"42541056\"]\n  16 -> 38 [size =\"42541056\"]\n  16 -> 41 [size =\"42541056\"]\n  16 -> 47 [size =\"42541056\"]\n  16 -> 48 [size =\"42541056\"]\n  17 [size=\"92663808\", alpha=\"0.13\", expect_size=\"46331904\"] \n  17 -> 31 [size =\"46331904\"]\n  17 -> 32 [size =\"46331904\"]\n  17 -> 36 [size =\"46331904\"]\n  17 -> 37 [size =\"46331904\"]\n  17 -> 37 [size =\"46331904\"]\n  17 -> 38 [size =\"46331904\"]\n  17 -> 42 [size =\"46331904\"]\n  17 -> 47 [size =\"46331904\"]\n  18 [size=\"89214976\", alpha=\"0.18\", expect_size=\"44607488\"] \n  18 -> 31 [size =\"44607488\"]\n  18 -> 36 [size =\"44607488\"]\n  18 -> 36 [size =\"44607488\"]\n  18 -> 37 [size =\"44607488\"]\n  18 -> 38 [size =\"44607488\"]\n  18 -> 41 [size =\"44607488\"]\n  18 -> 42 [size =\"44607488\"]\n  18 -> 45 [size =\"44607488\"]\n  18 -> 46 [size =\"44607488\"]\n  18 -> 47 [size =\"44607488\"]\n  18 -> 48 [size =\"44607488\"]\n  19 [size=\"29468672\", alpha=\"0.12\", expect_size=\"14734336\"] \n  19 -> 32 [size =\"14734336\"]\n  19 -> 36 [size =\"14734336\"]\n  19 -> 37 [size =\"14734336\"]\n  19 -> 41 [size =\"14734336\"]\n  19 -> 42 [size =\"14734336\"]\n  19 -> 44 [size =\"14734336\"]\n  19 -> 47 [size =\"14734336\"]\n  19 -> 48 [size =\"14734336\"]\n  19 -> 49 [size =\"14734336\"]\n  20 [size=\"14778368\", alpha=\"0.10\", expect_size=\"7389184\"] \n  20 -> 32 [size =\"7389184\"]\n  20 -> 36 [size =\"7389184\"]\n  20 -> 41 [size =\"7389184\"]\n  20 -> 44 [size =\"7389184\"]\n  20 -> 48 [size =\"7389184\"]\n  20 -> 49 [size =\"7389184\"]\n  21 [size=\"39223296\", alpha=\"0.05\", expect_size=\"19611648\"] \n  21 -> 31 [size =\"19611648\"]\n  21 -> 32 [size =\"19611648\"]\n  21 -> 37 [size =\"19611648\"]\n  21 -> 41 [size =\"19611648\"]\n  21 -> 44 [size =\"19611648\"]\n  21 -> 48 [size =\"19611648\"]\n  22 [size=\"55326720\", alpha=\"0.18\", expect_size=\"27663360\"] \n  22 -> 31 [size =\"27663360\"]\n  22 -> 32 [size =\"27663360\"]\n  22 -> 34 [size =\"27663360\"]\n  22 -> 36 [size =\"27663360\"]\n  22 -> 38 [size =\"27663360\"]\n  22 -> 43 [size =\"27663360\"]\n  22 -> 46 [size =\"27663360\"]\n  22 -> 47 [size =\"27663360\"]\n  22 -> 49 [size =\"27663360\"]\n  23 [size=\"19918848\", alpha=\"0.13\", expect_size=\"9959424\"] \n  23 -> 31 [size =\"9959424\"]\n  23 -> 32 [size =\"9959424\"]\n  23 -> 34 [size =\"9959424\"]\n  23 -> 38 [size =\"9959424\"]\n  23 -> 42 [size =\"9959424\"]\n  23 -> 43 [size =\"9959424\"]\n  23 -> 46 [size =\"9959424\"]\n  23 -> 49 [size =\"9959424\"]\n  24 [size=\"62523392\", alpha=\"0.12\", expect_size=\"31261696\"] \n  24 -> 31 [size =\"31261696\"]\n  24 -> 34 [size =\"31261696\"]\n  24 -> 34 [size =\"31261696\"]\n  24 -> 35 [size =\"31261696\"]\n  24 -> 38 [size =\"31261696\"]\n  24 -> 44 [size =\"31261696\"]\n  24 -> 46 [size =\"31261696\"]\n  25 [size=\"54689792\", alpha=\"0.01\", expect_size=\"27344896\"] \n  25 -> 31 [size =\"27344896\"]\n  25 -> 36 [size =\"27344896\"]\n  25 -> 37 [size =\"27344896\"]\n  25 -> 38 [size =\"27344896\"]\n  25 -> 38 [size =\"27344896\"]\n  25 -> 41 [size =\"27344896\"]\n  25 -> 42 [size =\"27344896\"]\n  25 -> 49 [size =\"27344896\"]\n  25 -> 50 [size =\"27344896\"]\n  26 [size=\"53704704\", alpha=\"0.06\", expect_size=\"26852352\"] \n  26 -> 35 [size =\"26852352\"]\n  26 -> 36 [size =\"26852352\"]\n  26 -> 38 [size =\"26852352\"]\n  26 -> 48 [size =\"26852352\"]\n  27 [size=\"52752384\", alpha=\"0.15\", expect_size=\"26376192\"] \n  27 -> 31 [size =\"26376192\"]\n  27 -> 32 [size =\"26376192\"]\n  27 -> 34 [size =\"26376192\"]\n  27 -> 36 [size =\"26376192\"]\n  27 -> 38 [size =\"26376192\"]\n  27 -> 39 [size =\"26376192\"]\n  27 -> 44 [size =\"26376192\"]\n  27 -> 46 [size =\"26376192\"]\n  28 [size=\"21020672\", alpha=\"0.09\", expect_size=\"10510336\"] \n  28 -> 31 [size =\"10510336\"]\n  28 -> 32 [size =\"10510336\"]\n  28 -> 34 [size =\"10510336\"]\n  28 -> 35 [size =\"10510336\"]\n  28 -> 36 [size =\"10510336\"]\n  28 -> 37 [size =\"10510336\"]\n  28 -> 38 [size =\"10510336\"]\n  28 -> 40 [size =\"10510336\"]\n  28 -> 42 [size =\"10510336\"]\n  28 -> 44 [size =\"10510336\"]\n  28 -> 47 [size =\"10510336\"]\n  28 -> 48 [size =\"10510336\"]\n  29 [size=\"12816384\", alpha=\"0.07\", expect_size=\"6408192\"] \n  29 -> 31 [size =\"6408192\"]\n  29 -> 32 [size =\"6408192\"]\n  29 -> 34 [size =\"6408192\"]\n  29 -> 36 [size =\"6408192\"]\n  29 -> 38 [size =\"6408192\"]\n  29 -> 46 [size =\"6408192\"]\n  29 -> 47 [size =\"6408192\"]\n  29 -> 50 [size =\"6408192\"]\n  30 [size=\"70674432\", alpha=\"0.10\", expect_size=\"35337216\"] \n  30 -> 31 [size =\"35337216\"]\n  30 -> 32 [size =\"35337216\"]\n  30 -> 38 [size =\"35337216\"]\n  30 -> 46 [size =\"35337216\"]\n  30 -> 48 [size =\"35337216\"]\n  31 [size=\"23257088\", alpha=\"0.14\", expect_size=\"11628544\"] \n  32 [size=\"48658432\", alpha=\"0.11\", expect_size=\"24329216\"] \n  33 [size=\"39641088\", alpha=\"0.13\", expect_size=\"19820544\"] \n  34 [size=\"103243776\", alpha=\"0.15\", expect_size=\"51621888\"] \n  35 [size=\"66963456\", alpha=\"0.18\", expect_size=\"33481728\"] \n  36 [size=\"70115328\", alpha=\"0.16\", expect_size=\"35057664\"] \n  37 [size=\"96868352\", alpha=\"0.12\", expect_size=\"48434176\"] \n  38 [size=\"73046016\", alpha=\"0.05\", expect_size=\"36523008\"] \n  39 [size=\"20142080\", alpha=\"0.02\", expect_size=\"10071040\"] \n  40 [size=\"53405696\", alpha=\"0.20\", expect_size=\"26702848\"] \n  41 [size=\"102651904\", alpha=\"0.03\", expect_size=\"51325952\"] \n  42 [size=\"73322496\", alpha=\"0.17\", expect_size=\"36661248\"] \n  43 [size=\"31440896\", alpha=\"0.12\", expect_size=\"15720448\"] \n  44 [size=\"93493248\", alpha=\"0.18\", expect_size=\"46746624\"] \n  45 [size=\"69758976\", alpha=\"0.14\", expect_size=\"34879488\"] \n  46 [size=\"59385856\", alpha=\"0.19\", expect_size=\"29692928\"] \n  47 [size=\"42596352\", alpha=\"0.13\", expect_size=\"21298176\"] \n  48 [size=\"101570560\", alpha=\"0.09\", expect_size=\"50785280\"] \n  49 [size=\"31922176\", alpha=\"0.05\", expect_size=\"15961088\"] \n  50 [size=\"41379840\", alpha=\"0.14\", expect_size=\"20689920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.600.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16721920\", alpha=\"0.10\", expect_size=\"6688768\"] \n  1 -> 42 [size =\"6688768\"]\n  1 -> 43 [size =\"6688768\"]\n  1 -> 44 [size =\"6688768\"]\n  1 -> 46 [size =\"6688768\"]\n  1 -> 47 [size =\"6688768\"]\n  1 -> 49 [size =\"6688768\"]\n  1 -> 50 [size =\"6688768\"]\n  2 [size=\"105361920\", alpha=\"0.12\", expect_size=\"42144768\"] \n  2 -> 42 [size =\"42144768\"]\n  2 -> 43 [size =\"42144768\"]\n  2 -> 45 [size =\"42144768\"]\n  2 -> 47 [size =\"42144768\"]\n  2 -> 50 [size =\"42144768\"]\n  3 [size=\"61670400\", alpha=\"0.20\", expect_size=\"24668160\"] \n  3 -> 45 [size =\"24668160\"]\n  3 -> 49 [size =\"24668160\"]\n  3 -> 50 [size =\"24668160\"]\n  4 [size=\"84362240\", alpha=\"0.14\", expect_size=\"33744896\"] \n  4 -> 43 [size =\"33744896\"]\n  4 -> 44 [size =\"33744896\"]\n  5 [size=\"110415360\", alpha=\"0.16\", expect_size=\"44166144\"] \n  5 -> 46 [size =\"44166144\"]\n  6 [size=\"51576320\", alpha=\"0.19\", expect_size=\"20630528\"] \n  6 -> 42 [size =\"20630528\"]\n  6 -> 44 [size =\"20630528\"]\n  6 -> 45 [size =\"20630528\"]\n  6 -> 46 [size =\"20630528\"]\n  6 -> 47 [size =\"20630528\"]\n  6 -> 48 [size =\"20630528\"]\n  6 -> 49 [size =\"20630528\"]\n  6 -> 50 [size =\"20630528\"]\n  7 [size=\"44270080\", alpha=\"0.07\", expect_size=\"17708032\"] \n  7 -> 43 [size =\"17708032\"]\n  7 -> 44 [size =\"17708032\"]\n  7 -> 46 [size =\"17708032\"]\n  7 -> 48 [size =\"17708032\"]\n  7 -> 50 [size =\"17708032\"]\n  8 [size=\"47188480\", alpha=\"0.20\", expect_size=\"18875392\"] \n  8 -> 42 [size =\"18875392\"]\n  8 -> 43 [size =\"18875392\"]\n  8 -> 44 [size =\"18875392\"]\n  8 -> 45 [size =\"18875392\"]\n  8 -> 48 [size =\"18875392\"]\n  8 -> 49 [size =\"18875392\"]\n  9 [size=\"91778560\", alpha=\"0.05\", expect_size=\"36711424\"] \n  9 -> 42 [size =\"36711424\"]\n  9 -> 44 [size =\"36711424\"]\n  9 -> 44 [size =\"36711424\"]\n  9 -> 46 [size =\"36711424\"]\n  9 -> 47 [size =\"36711424\"]\n  9 -> 48 [size =\"36711424\"]\n  9 -> 49 [size =\"36711424\"]\n  9 -> 50 [size =\"36711424\"]\n  10 [size=\"97999360\", alpha=\"0.04\", expect_size=\"39199744\"] \n  10 -> 42 [size =\"39199744\"]\n  10 -> 43 [size =\"39199744\"]\n  10 -> 45 [size =\"39199744\"]\n  10 -> 47 [size =\"39199744\"]\n  10 -> 49 [size =\"39199744\"]\n  10 -> 50 [size =\"39199744\"]\n  11 [size=\"111610880\", alpha=\"0.02\", expect_size=\"44644352\"] \n  11 -> 42 [size =\"44644352\"]\n  11 -> 44 [size =\"44644352\"]\n  11 -> 45 [size =\"44644352\"]\n  11 -> 49 [size =\"44644352\"]\n  11 -> 50 [size =\"44644352\"]\n  11 -> 50 [size =\"44644352\"]\n  12 [size=\"50040320\", alpha=\"0.08\", expect_size=\"20016128\"] \n  12 -> 42 [size =\"20016128\"]\n  12 -> 44 [size =\"20016128\"]\n  12 -> 45 [size =\"20016128\"]\n  12 -> 46 [size =\"20016128\"]\n  13 [size=\"122680320\", alpha=\"0.11\", expect_size=\"49072128\"] \n  13 -> 42 [size =\"49072128\"]\n  13 -> 44 [size =\"49072128\"]\n  13 -> 47 [size =\"49072128\"]\n  13 -> 49 [size =\"49072128\"]\n  14 [size=\"122209280\", alpha=\"0.17\", expect_size=\"48883712\"] \n  14 -> 42 [size =\"48883712\"]\n  14 -> 43 [size =\"48883712\"]\n  14 -> 44 [size =\"48883712\"]\n  14 -> 47 [size =\"48883712\"]\n  14 -> 49 [size =\"48883712\"]\n  14 -> 50 [size =\"48883712\"]\n  15 [size=\"86338560\", alpha=\"0.07\", expect_size=\"34535424\"] \n  15 -> 42 [size =\"34535424\"]\n  15 -> 43 [size =\"34535424\"]\n  15 -> 45 [size =\"34535424\"]\n  15 -> 47 [size =\"34535424\"]\n  15 -> 50 [size =\"34535424\"]\n  16 [size=\"60579840\", alpha=\"0.06\", expect_size=\"24231936\"] \n  16 -> 42 [size =\"24231936\"]\n  16 -> 43 [size =\"24231936\"]\n  16 -> 45 [size =\"24231936\"]\n  16 -> 47 [size =\"24231936\"]\n  16 -> 49 [size =\"24231936\"]\n  16 -> 50 [size =\"24231936\"]\n  17 [size=\"57121280\", alpha=\"0.12\", expect_size=\"22848512\"] \n  17 -> 42 [size =\"22848512\"]\n  17 -> 43 [size =\"22848512\"]\n  17 -> 44 [size =\"22848512\"]\n  17 -> 45 [size =\"22848512\"]\n  17 -> 47 [size =\"22848512\"]\n  17 -> 48 [size =\"22848512\"]\n  17 -> 49 [size =\"22848512\"]\n  17 -> 50 [size =\"22848512\"]\n  18 [size=\"97630720\", alpha=\"0.04\", expect_size=\"39052288\"] \n  18 -> 42 [size =\"39052288\"]\n  18 -> 45 [size =\"39052288\"]\n  18 -> 48 [size =\"39052288\"]\n  18 -> 49 [size =\"39052288\"]\n  18 -> 50 [size =\"39052288\"]\n  19 [size=\"94699520\", alpha=\"0.07\", expect_size=\"37879808\"] \n  19 -> 42 [size =\"37879808\"]\n  19 -> 45 [size =\"37879808\"]\n  19 -> 48 [size =\"37879808\"]\n  19 -> 49 [size =\"37879808\"]\n  19 -> 50 [size =\"37879808\"]\n  20 [size=\"126919680\", alpha=\"0.08\", expect_size=\"50767872\"] \n  20 -> 42 [size =\"50767872\"]\n  20 -> 43 [size =\"50767872\"]\n  20 -> 44 [size =\"50767872\"]\n  20 -> 45 [size =\"50767872\"]\n  20 -> 48 [size =\"50767872\"]\n  20 -> 49 [size =\"50767872\"]\n  20 -> 50 [size =\"50767872\"]\n  21 [size=\"32043520\", alpha=\"0.10\", expect_size=\"12817408\"] \n  21 -> 42 [size =\"12817408\"]\n  21 -> 45 [size =\"12817408\"]\n  21 -> 47 [size =\"12817408\"]\n  21 -> 49 [size =\"12817408\"]\n  22 [size=\"41848320\", alpha=\"0.07\", expect_size=\"16739328\"] \n  22 -> 42 [size =\"16739328\"]\n  22 -> 45 [size =\"16739328\"]\n  22 -> 46 [size =\"16739328\"]\n  22 -> 47 [size =\"16739328\"]\n  22 -> 49 [size =\"16739328\"]\n  22 -> 50 [size =\"16739328\"]\n  23 [size=\"86366720\", alpha=\"0.13\", expect_size=\"34546688\"] \n  23 -> 42 [size =\"34546688\"]\n  23 -> 43 [size =\"34546688\"]\n  23 -> 45 [size =\"34546688\"]\n  23 -> 46 [size =\"34546688\"]\n  23 -> 47 [size =\"34546688\"]\n  23 -> 49 [size =\"34546688\"]\n  24 [size=\"35084800\", alpha=\"0.11\", expect_size=\"14033920\"] \n  24 -> 42 [size =\"14033920\"]\n  24 -> 44 [size =\"14033920\"]\n  24 -> 45 [size =\"14033920\"]\n  24 -> 46 [size =\"14033920\"]\n  24 -> 49 [size =\"14033920\"]\n  24 -> 49 [size =\"14033920\"]\n  24 -> 50 [size =\"14033920\"]\n  25 [size=\"16273920\", alpha=\"0.05\", expect_size=\"6509568\"] \n  25 -> 42 [size =\"6509568\"]\n  25 -> 43 [size =\"6509568\"]\n  25 -> 44 [size =\"6509568\"]\n  25 -> 46 [size =\"6509568\"]\n  26 [size=\"59374080\", alpha=\"0.06\", expect_size=\"23749632\"] \n  26 -> 42 [size =\"23749632\"]\n  26 -> 43 [size =\"23749632\"]\n  26 -> 44 [size =\"23749632\"]\n  26 -> 48 [size =\"23749632\"]\n  26 -> 49 [size =\"23749632\"]\n  26 -> 50 [size =\"23749632\"]\n  27 [size=\"97024000\", alpha=\"0.11\", expect_size=\"38809600\"] \n  27 -> 42 [size =\"38809600\"]\n  27 -> 43 [size =\"38809600\"]\n  27 -> 44 [size =\"38809600\"]\n  27 -> 45 [size =\"38809600\"]\n  27 -> 46 [size =\"38809600\"]\n  27 -> 47 [size =\"38809600\"]\n  27 -> 48 [size =\"38809600\"]\n  27 -> 49 [size =\"38809600\"]\n  27 -> 50 [size =\"38809600\"]\n  28 [size=\"48852480\", alpha=\"0.03\", expect_size=\"19540992\"] \n  28 -> 42 [size =\"19540992\"]\n  28 -> 44 [size =\"19540992\"]\n  28 -> 44 [size =\"19540992\"]\n  28 -> 45 [size =\"19540992\"]\n  28 -> 47 [size =\"19540992\"]\n  28 -> 47 [size =\"19540992\"]\n  28 -> 48 [size =\"19540992\"]\n  28 -> 49 [size =\"19540992\"]\n  29 [size=\"73456640\", alpha=\"0.08\", expect_size=\"29382656\"] \n  29 -> 42 [size =\"29382656\"]\n  29 -> 43 [size =\"29382656\"]\n  29 -> 44 [size =\"29382656\"]\n  29 -> 47 [size =\"29382656\"]\n  29 -> 48 [size =\"29382656\"]\n  29 -> 49 [size =\"29382656\"]\n  30 [size=\"115683840\", alpha=\"0.08\", expect_size=\"46273536\"] \n  30 -> 42 [size =\"46273536\"]\n  30 -> 44 [size =\"46273536\"]\n  30 -> 44 [size =\"46273536\"]\n  30 -> 45 [size =\"46273536\"]\n  30 -> 47 [size =\"46273536\"]\n  30 -> 49 [size =\"46273536\"]\n  31 [size=\"46487040\", alpha=\"0.04\", expect_size=\"18594816\"] \n  31 -> 42 [size =\"18594816\"]\n  31 -> 43 [size =\"18594816\"]\n  31 -> 44 [size =\"18594816\"]\n  31 -> 45 [size =\"18594816\"]\n  31 -> 46 [size =\"18594816\"]\n  31 -> 47 [size =\"18594816\"]\n  31 -> 49 [size =\"18594816\"]\n  31 -> 50 [size =\"18594816\"]\n  32 [size=\"105410560\", alpha=\"0.06\", expect_size=\"42164224\"] \n  32 -> 42 [size =\"42164224\"]\n  32 -> 43 [size =\"42164224\"]\n  32 -> 44 [size =\"42164224\"]\n  32 -> 45 [size =\"42164224\"]\n  32 -> 47 [size =\"42164224\"]\n  32 -> 49 [size =\"42164224\"]\n  32 -> 50 [size =\"42164224\"]\n  32 -> 50 [size =\"42164224\"]\n  33 [size=\"30814720\", alpha=\"0.08\", expect_size=\"12325888\"] \n  33 -> 42 [size =\"12325888\"]\n  33 -> 43 [size =\"12325888\"]\n  33 -> 49 [size =\"12325888\"]\n  34 [size=\"107194880\", alpha=\"0.07\", expect_size=\"42877952\"] \n  34 -> 42 [size =\"42877952\"]\n  34 -> 46 [size =\"42877952\"]\n  34 -> 49 [size =\"42877952\"]\n  34 -> 50 [size =\"42877952\"]\n  35 [size=\"51914240\", alpha=\"0.19\", expect_size=\"20765696\"] \n  35 -> 42 [size =\"20765696\"]\n  35 -> 43 [size =\"20765696\"]\n  35 -> 45 [size =\"20765696\"]\n  35 -> 46 [size =\"20765696\"]\n  35 -> 47 [size =\"20765696\"]\n  35 -> 49 [size =\"20765696\"]\n  35 -> 50 [size =\"20765696\"]\n  36 [size=\"80240640\", alpha=\"0.19\", expect_size=\"32096256\"] \n  36 -> 42 [size =\"32096256\"]\n  36 -> 43 [size =\"32096256\"]\n  36 -> 44 [size =\"32096256\"]\n  36 -> 45 [size =\"32096256\"]\n  36 -> 47 [size =\"32096256\"]\n  36 -> 49 [size =\"32096256\"]\n  37 [size=\"112680960\", alpha=\"0.06\", expect_size=\"45072384\"] \n  37 -> 42 [size =\"45072384\"]\n  37 -> 44 [size =\"45072384\"]\n  37 -> 45 [size =\"45072384\"]\n  37 -> 45 [size =\"45072384\"]\n  37 -> 49 [size =\"45072384\"]\n  38 [size=\"62438400\", alpha=\"0.08\", expect_size=\"24975360\"] \n  38 -> 43 [size =\"24975360\"]\n  38 -> 45 [size =\"24975360\"]\n  38 -> 45 [size =\"24975360\"]\n  38 -> 47 [size =\"24975360\"]\n  38 -> 49 [size =\"24975360\"]\n  39 [size=\"81556480\", alpha=\"0.04\", expect_size=\"32622592\"] \n  39 -> 42 [size =\"32622592\"]\n  39 -> 45 [size =\"32622592\"]\n  39 -> 46 [size =\"32622592\"]\n  40 [size=\"130744320\", alpha=\"0.19\", expect_size=\"52297728\"] \n  40 -> 43 [size =\"52297728\"]\n  40 -> 45 [size =\"52297728\"]\n  40 -> 47 [size =\"52297728\"]\n  41 [size=\"58964480\", alpha=\"0.17\", expect_size=\"23585792\"] \n  41 -> 45 [size =\"23585792\"]\n  41 -> 47 [size =\"23585792\"]\n  41 -> 47 [size =\"23585792\"]\n  41 -> 49 [size =\"23585792\"]\n  42 [size=\"82688000\", alpha=\"0.20\", expect_size=\"33075200\"] \n  43 [size=\"120885760\", alpha=\"0.15\", expect_size=\"48354304\"] \n  44 [size=\"47198720\", alpha=\"0.14\", expect_size=\"18879488\"] \n  45 [size=\"88698880\", alpha=\"0.14\", expect_size=\"35479552\"] \n  46 [size=\"82688000\", alpha=\"0.02\", expect_size=\"33075200\"] \n  47 [size=\"76638720\", alpha=\"0.03\", expect_size=\"30655488\"] \n  48 [size=\"114565120\", alpha=\"0.11\", expect_size=\"45826048\"] \n  49 [size=\"45063680\", alpha=\"0.09\", expect_size=\"18025472\"] \n  50 [size=\"67694080\", alpha=\"0.05\", expect_size=\"27077632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.601.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50614272\", alpha=\"0.05\", expect_size=\"25307136\"] \n  1 -> 4 [size =\"25307136\"]\n  1 -> 6 [size =\"25307136\"]\n  2 [size=\"62420992\", alpha=\"0.19\", expect_size=\"31210496\"] \n  2 -> 5 [size =\"31210496\"]\n  2 -> 6 [size =\"31210496\"]\n  3 [size=\"20762624\", alpha=\"0.09\", expect_size=\"10381312\"] \n  3 -> 4 [size =\"10381312\"]\n  3 -> 5 [size =\"10381312\"]\n  4 [size=\"45733888\", alpha=\"0.02\", expect_size=\"22866944\"] \n  5 [size=\"40622080\", alpha=\"0.13\", expect_size=\"20311040\"] \n  5 -> 7 [size =\"20311040\"]\n  5 -> 8 [size =\"20311040\"]\n  6 [size=\"26562560\", alpha=\"0.13\", expect_size=\"13281280\"] \n  6 -> 7 [size =\"13281280\"]\n  7 [size=\"46518272\", alpha=\"0.01\", expect_size=\"23259136\"] \n  7 -> 10 [size =\"23259136\"]\n  7 -> 11 [size =\"23259136\"]\n  8 [size=\"95725568\", alpha=\"0.12\", expect_size=\"47862784\"] \n  8 -> 9 [size =\"47862784\"]\n  8 -> 10 [size =\"47862784\"]\n  8 -> 11 [size =\"47862784\"]\n  9 [size=\"30320640\", alpha=\"0.11\", expect_size=\"15160320\"] \n  10 [size=\"91992064\", alpha=\"0.18\", expect_size=\"45996032\"] \n  10 -> 12 [size =\"45996032\"]\n  10 -> 13 [size =\"45996032\"]\n  10 -> 14 [size =\"45996032\"]\n  11 [size=\"73535488\", alpha=\"0.06\", expect_size=\"36767744\"] \n  11 -> 12 [size =\"36767744\"]\n  11 -> 13 [size =\"36767744\"]\n  11 -> 14 [size =\"36767744\"]\n  12 [size=\"98150400\", alpha=\"0.18\", expect_size=\"49075200\"] \n  12 -> 15 [size =\"49075200\"]\n  12 -> 16 [size =\"49075200\"]\n  13 [size=\"93204480\", alpha=\"0.09\", expect_size=\"46602240\"] \n  14 [size=\"43612160\", alpha=\"0.06\", expect_size=\"21806080\"] \n  14 -> 15 [size =\"21806080\"]\n  14 -> 16 [size =\"21806080\"]\n  15 [size=\"54642688\", alpha=\"0.05\", expect_size=\"27321344\"] \n  15 -> 17 [size =\"27321344\"]\n  15 -> 18 [size =\"27321344\"]\n  16 [size=\"21440512\", alpha=\"0.08\", expect_size=\"10720256\"] \n  16 -> 18 [size =\"10720256\"]\n  17 [size=\"84582400\", alpha=\"0.13\", expect_size=\"42291200\"] \n  17 -> 20 [size =\"42291200\"]\n  18 [size=\"87603200\", alpha=\"0.06\", expect_size=\"43801600\"] \n  18 -> 19 [size =\"43801600\"]\n  18 -> 20 [size =\"43801600\"]\n  19 [size=\"51451904\", alpha=\"0.15\", expect_size=\"25725952\"] \n  19 -> 21 [size =\"25725952\"]\n  19 -> 22 [size =\"25725952\"]\n  20 [size=\"10860544\", alpha=\"0.12\", expect_size=\"5430272\"] \n  20 -> 21 [size =\"5430272\"]\n  20 -> 22 [size =\"5430272\"]\n  21 [size=\"97785856\", alpha=\"0.18\", expect_size=\"48892928\"] \n  21 -> 24 [size =\"48892928\"]\n  22 [size=\"33216512\", alpha=\"0.14\", expect_size=\"16608256\"] \n  22 -> 23 [size =\"16608256\"]\n  23 [size=\"24623104\", alpha=\"0.12\", expect_size=\"12311552\"] \n  23 -> 25 [size =\"12311552\"]\n  23 -> 27 [size =\"12311552\"]\n  24 [size=\"69007360\", alpha=\"0.18\", expect_size=\"34503680\"] \n  24 -> 25 [size =\"34503680\"]\n  24 -> 26 [size =\"34503680\"]\n  24 -> 27 [size =\"34503680\"]\n  25 [size=\"95770624\", alpha=\"0.11\", expect_size=\"47885312\"] \n  25 -> 29 [size =\"47885312\"]\n  26 [size=\"23912448\", alpha=\"0.07\", expect_size=\"11956224\"] \n  26 -> 28 [size =\"11956224\"]\n  27 [size=\"63934464\", alpha=\"0.10\", expect_size=\"31967232\"] \n  27 -> 28 [size =\"31967232\"]\n  27 -> 29 [size =\"31967232\"]\n  28 [size=\"30013440\", alpha=\"0.12\", expect_size=\"15006720\"] \n  28 -> 30 [size =\"15006720\"]\n  28 -> 31 [size =\"15006720\"]\n  28 -> 32 [size =\"15006720\"]\n  29 [size=\"57825280\", alpha=\"0.17\", expect_size=\"28912640\"] \n  29 -> 30 [size =\"28912640\"]\n  29 -> 32 [size =\"28912640\"]\n  30 [size=\"35995648\", alpha=\"0.00\", expect_size=\"17997824\"] \n  31 [size=\"93669376\", alpha=\"0.17\", expect_size=\"46834688\"] \n  32 [size=\"82235392\", alpha=\"0.12\", expect_size=\"41117696\"] \n  32 -> 33 [size =\"41117696\"]\n  32 -> 34 [size =\"41117696\"]\n  33 [size=\"53628928\", alpha=\"0.04\", expect_size=\"26814464\"] \n  33 -> 35 [size =\"26814464\"]\n  33 -> 36 [size =\"26814464\"]\n  34 [size=\"18126848\", alpha=\"0.04\", expect_size=\"9063424\"] \n  34 -> 37 [size =\"9063424\"]\n  35 [size=\"10979328\", alpha=\"0.12\", expect_size=\"5489664\"] \n  35 -> 40 [size =\"5489664\"]\n  36 [size=\"62320640\", alpha=\"0.03\", expect_size=\"31160320\"] \n  37 [size=\"93861888\", alpha=\"0.10\", expect_size=\"46930944\"] \n  37 -> 38 [size =\"46930944\"]\n  37 -> 39 [size =\"46930944\"]\n  38 [size=\"47259648\", alpha=\"0.14\", expect_size=\"23629824\"] \n  38 -> 42 [size =\"23629824\"]\n  39 [size=\"102131712\", alpha=\"0.05\", expect_size=\"51065856\"] \n  39 -> 41 [size =\"51065856\"]\n  39 -> 43 [size =\"51065856\"]\n  40 [size=\"89567232\", alpha=\"0.17\", expect_size=\"44783616\"] \n  40 -> 41 [size =\"44783616\"]\n  41 [size=\"91070464\", alpha=\"0.08\", expect_size=\"45535232\"] \n  41 -> 45 [size =\"45535232\"]\n  42 [size=\"75325440\", alpha=\"0.03\", expect_size=\"37662720\"] \n  42 -> 44 [size =\"37662720\"]\n  42 -> 45 [size =\"37662720\"]\n  43 [size=\"35622912\", alpha=\"0.01\", expect_size=\"17811456\"] \n  43 -> 44 [size =\"17811456\"]\n  43 -> 45 [size =\"17811456\"]\n  44 [size=\"54681600\", alpha=\"0.12\", expect_size=\"27340800\"] \n  45 [size=\"71258112\", alpha=\"0.01\", expect_size=\"35629056\"] \n  45 -> 46 [size =\"35629056\"]\n  45 -> 47 [size =\"35629056\"]\n  46 [size=\"35137536\", alpha=\"0.12\", expect_size=\"17568768\"] \n  46 -> 48 [size =\"17568768\"]\n  46 -> 50 [size =\"17568768\"]\n  47 [size=\"51648512\", alpha=\"0.15\", expect_size=\"25824256\"] \n  47 -> 49 [size =\"25824256\"]\n  47 -> 50 [size =\"25824256\"]\n  48 [size=\"100513792\", alpha=\"0.02\", expect_size=\"50256896\"] \n  49 [size=\"70111232\", alpha=\"0.20\", expect_size=\"35055616\"] \n  50 [size=\"95776768\", alpha=\"0.02\", expect_size=\"47888384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.602.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44859392\", alpha=\"0.09\", expect_size=\"22429696\"] \n  1 -> 2 [size =\"22429696\"]\n  2 [size=\"60411904\", alpha=\"0.10\", expect_size=\"30205952\"] \n  2 -> 3 [size =\"30205952\"]\n  3 [size=\"98603008\", alpha=\"0.19\", expect_size=\"49301504\"] \n  3 -> 4 [size =\"49301504\"]\n  4 [size=\"66332672\", alpha=\"0.10\", expect_size=\"33166336\"] \n  4 -> 5 [size =\"33166336\"]\n  5 [size=\"67946496\", alpha=\"0.05\", expect_size=\"33973248\"] \n  5 -> 6 [size =\"33973248\"]\n  6 [size=\"85723136\", alpha=\"0.04\", expect_size=\"42861568\"] \n  6 -> 7 [size =\"42861568\"]\n  7 [size=\"32008192\", alpha=\"0.16\", expect_size=\"16004096\"] \n  7 -> 8 [size =\"16004096\"]\n  8 [size=\"28448768\", alpha=\"0.03\", expect_size=\"14224384\"] \n  8 -> 9 [size =\"14224384\"]\n  9 [size=\"61343744\", alpha=\"0.06\", expect_size=\"30671872\"] \n  9 -> 10 [size =\"30671872\"]\n  10 [size=\"81995776\", alpha=\"0.06\", expect_size=\"40997888\"] \n  10 -> 11 [size =\"40997888\"]\n  11 [size=\"30449664\", alpha=\"0.18\", expect_size=\"15224832\"] \n  11 -> 12 [size =\"15224832\"]\n  12 [size=\"73216000\", alpha=\"0.05\", expect_size=\"36608000\"] \n  12 -> 13 [size =\"36608000\"]\n  13 [size=\"26056704\", alpha=\"0.03\", expect_size=\"13028352\"] \n  13 -> 14 [size =\"13028352\"]\n  14 [size=\"20932608\", alpha=\"0.01\", expect_size=\"10466304\"] \n  14 -> 15 [size =\"10466304\"]\n  15 [size=\"66390016\", alpha=\"0.14\", expect_size=\"33195008\"] \n  15 -> 16 [size =\"33195008\"]\n  16 [size=\"91090944\", alpha=\"0.16\", expect_size=\"45545472\"] \n  16 -> 17 [size =\"45545472\"]\n  17 [size=\"16574464\", alpha=\"0.14\", expect_size=\"8287232\"] \n  17 -> 18 [size =\"8287232\"]\n  18 [size=\"91756544\", alpha=\"0.18\", expect_size=\"45878272\"] \n  18 -> 19 [size =\"45878272\"]\n  19 [size=\"10520576\", alpha=\"0.16\", expect_size=\"5260288\"] \n  19 -> 20 [size =\"5260288\"]\n  20 [size=\"36808704\", alpha=\"0.10\", expect_size=\"18404352\"] \n  20 -> 21 [size =\"18404352\"]\n  21 [size=\"65849344\", alpha=\"0.10\", expect_size=\"32924672\"] \n  21 -> 22 [size =\"32924672\"]\n  22 [size=\"56260608\", alpha=\"0.01\", expect_size=\"28130304\"] \n  22 -> 23 [size =\"28130304\"]\n  23 [size=\"81915904\", alpha=\"0.11\", expect_size=\"40957952\"] \n  23 -> 24 [size =\"40957952\"]\n  24 [size=\"97251328\", alpha=\"0.13\", expect_size=\"48625664\"] \n  24 -> 25 [size =\"48625664\"]\n  25 [size=\"101169152\", alpha=\"0.07\", expect_size=\"50584576\"] \n  25 -> 26 [size =\"50584576\"]\n  26 [size=\"70901760\", alpha=\"0.16\", expect_size=\"35450880\"] \n  26 -> 27 [size =\"35450880\"]\n  27 [size=\"51369984\", alpha=\"0.11\", expect_size=\"25684992\"] \n  27 -> 28 [size =\"25684992\"]\n  28 [size=\"21413888\", alpha=\"0.09\", expect_size=\"10706944\"] \n  28 -> 29 [size =\"10706944\"]\n  29 [size=\"10690560\", alpha=\"0.18\", expect_size=\"5345280\"] \n  29 -> 30 [size =\"5345280\"]\n  30 [size=\"87418880\", alpha=\"0.02\", expect_size=\"43709440\"] \n  30 -> 31 [size =\"43709440\"]\n  31 [size=\"38119424\", alpha=\"0.10\", expect_size=\"19059712\"] \n  31 -> 32 [size =\"19059712\"]\n  32 [size=\"85905408\", alpha=\"0.12\", expect_size=\"42952704\"] \n  32 -> 33 [size =\"42952704\"]\n  33 [size=\"91963392\", alpha=\"0.17\", expect_size=\"45981696\"] \n  33 -> 34 [size =\"45981696\"]\n  34 [size=\"50036736\", alpha=\"0.04\", expect_size=\"25018368\"] \n  34 -> 35 [size =\"25018368\"]\n  35 [size=\"15978496\", alpha=\"0.03\", expect_size=\"7989248\"] \n  35 -> 36 [size =\"7989248\"]\n  36 [size=\"47245312\", alpha=\"0.19\", expect_size=\"23622656\"] \n  36 -> 37 [size =\"23622656\"]\n  37 [size=\"30337024\", alpha=\"0.16\", expect_size=\"15168512\"] \n  37 -> 38 [size =\"15168512\"]\n  38 [size=\"81145856\", alpha=\"0.11\", expect_size=\"40572928\"] \n  38 -> 39 [size =\"40572928\"]\n  39 [size=\"28895232\", alpha=\"0.06\", expect_size=\"14447616\"] \n  39 -> 40 [size =\"14447616\"]\n  40 [size=\"18817024\", alpha=\"0.06\", expect_size=\"9408512\"] \n  40 -> 41 [size =\"9408512\"]\n  41 [size=\"28047360\", alpha=\"0.18\", expect_size=\"14023680\"] \n  41 -> 42 [size =\"14023680\"]\n  42 [size=\"76550144\", alpha=\"0.19\", expect_size=\"38275072\"] \n  42 -> 43 [size =\"38275072\"]\n  43 [size=\"38313984\", alpha=\"0.16\", expect_size=\"19156992\"] \n  43 -> 44 [size =\"19156992\"]\n  44 [size=\"23283712\", alpha=\"0.11\", expect_size=\"11641856\"] \n  44 -> 45 [size =\"11641856\"]\n  45 [size=\"41906176\", alpha=\"0.05\", expect_size=\"20953088\"] \n  45 -> 46 [size =\"20953088\"]\n  46 [size=\"55715840\", alpha=\"0.13\", expect_size=\"27857920\"] \n  46 -> 47 [size =\"27857920\"]\n  47 [size=\"50946048\", alpha=\"0.08\", expect_size=\"25473024\"] \n  47 -> 48 [size =\"25473024\"]\n  48 [size=\"33685504\", alpha=\"0.06\", expect_size=\"16842752\"] \n  48 -> 49 [size =\"16842752\"]\n  49 [size=\"85211136\", alpha=\"0.05\", expect_size=\"42605568\"] \n  49 -> 50 [size =\"42605568\"]\n  50 [size=\"16807936\", alpha=\"0.19\", expect_size=\"8403968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.603.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20198400\", alpha=\"0.12\", expect_size=\"8079360\"] \n  1 -> 2 [size =\"8079360\"]\n  2 [size=\"28170240\", alpha=\"0.02\", expect_size=\"11268096\"] \n  2 -> 3 [size =\"11268096\"]\n  3 [size=\"70658560\", alpha=\"0.08\", expect_size=\"28263424\"] \n  3 -> 4 [size =\"28263424\"]\n  4 [size=\"110727680\", alpha=\"0.04\", expect_size=\"44291072\"] \n  4 -> 5 [size =\"44291072\"]\n  5 [size=\"41717760\", alpha=\"0.06\", expect_size=\"16687104\"] \n  5 -> 6 [size =\"16687104\"]\n  6 [size=\"68359680\", alpha=\"0.10\", expect_size=\"27343872\"] \n  6 -> 7 [size =\"27343872\"]\n  7 [size=\"31733760\", alpha=\"0.19\", expect_size=\"12693504\"] \n  7 -> 8 [size =\"12693504\"]\n  8 [size=\"77647360\", alpha=\"0.00\", expect_size=\"31058944\"] \n  8 -> 9 [size =\"31058944\"]\n  9 [size=\"86684160\", alpha=\"0.16\", expect_size=\"34673664\"] \n  9 -> 10 [size =\"34673664\"]\n  10 [size=\"70661120\", alpha=\"0.01\", expect_size=\"28264448\"] \n  10 -> 11 [size =\"28264448\"]\n  11 [size=\"127639040\", alpha=\"0.09\", expect_size=\"51055616\"] \n  11 -> 12 [size =\"51055616\"]\n  12 [size=\"78983680\", alpha=\"0.08\", expect_size=\"31593472\"] \n  12 -> 13 [size =\"31593472\"]\n  13 [size=\"89541120\", alpha=\"0.15\", expect_size=\"35816448\"] \n  13 -> 14 [size =\"35816448\"]\n  14 [size=\"21145600\", alpha=\"0.15\", expect_size=\"8458240\"] \n  14 -> 15 [size =\"8458240\"]\n  15 [size=\"42480640\", alpha=\"0.08\", expect_size=\"16992256\"] \n  15 -> 16 [size =\"16992256\"]\n  16 [size=\"76531200\", alpha=\"0.18\", expect_size=\"30612480\"] \n  16 -> 17 [size =\"30612480\"]\n  17 [size=\"18027520\", alpha=\"0.00\", expect_size=\"7211008\"] \n  17 -> 18 [size =\"7211008\"]\n  18 [size=\"13864960\", alpha=\"0.17\", expect_size=\"5545984\"] \n  18 -> 19 [size =\"5545984\"]\n  19 [size=\"14044160\", alpha=\"0.19\", expect_size=\"5617664\"] \n  19 -> 20 [size =\"5617664\"]\n  20 [size=\"110023680\", alpha=\"0.03\", expect_size=\"44009472\"] \n  20 -> 21 [size =\"44009472\"]\n  21 [size=\"114562560\", alpha=\"0.09\", expect_size=\"45825024\"] \n  21 -> 22 [size =\"45825024\"]\n  22 [size=\"51197440\", alpha=\"0.17\", expect_size=\"20478976\"] \n  22 -> 23 [size =\"20478976\"]\n  23 [size=\"98913280\", alpha=\"0.14\", expect_size=\"39565312\"] \n  23 -> 24 [size =\"39565312\"]\n  24 [size=\"72225280\", alpha=\"0.09\", expect_size=\"28890112\"] \n  24 -> 25 [size =\"28890112\"]\n  25 [size=\"42560000\", alpha=\"0.08\", expect_size=\"17024000\"] \n  25 -> 26 [size =\"17024000\"]\n  26 [size=\"92541440\", alpha=\"0.16\", expect_size=\"37016576\"] \n  26 -> 27 [size =\"37016576\"]\n  27 [size=\"78722560\", alpha=\"0.08\", expect_size=\"31489024\"] \n  27 -> 28 [size =\"31489024\"]\n  28 [size=\"80350720\", alpha=\"0.10\", expect_size=\"32140288\"] \n  28 -> 29 [size =\"32140288\"]\n  29 [size=\"65239040\", alpha=\"0.05\", expect_size=\"26095616\"] \n  29 -> 30 [size =\"26095616\"]\n  30 [size=\"61345280\", alpha=\"0.10\", expect_size=\"24538112\"] \n  30 -> 31 [size =\"24538112\"]\n  31 [size=\"81960960\", alpha=\"0.14\", expect_size=\"32784384\"] \n  31 -> 32 [size =\"32784384\"]\n  32 [size=\"16215040\", alpha=\"0.10\", expect_size=\"6486016\"] \n  32 -> 33 [size =\"6486016\"]\n  33 [size=\"115102720\", alpha=\"0.18\", expect_size=\"46041088\"] \n  33 -> 34 [size =\"46041088\"]\n  34 [size=\"82275840\", alpha=\"0.08\", expect_size=\"32910336\"] \n  34 -> 35 [size =\"32910336\"]\n  35 [size=\"15362560\", alpha=\"0.02\", expect_size=\"6145024\"] \n  35 -> 36 [size =\"6145024\"]\n  36 [size=\"60935680\", alpha=\"0.08\", expect_size=\"24374272\"] \n  36 -> 37 [size =\"24374272\"]\n  37 [size=\"38318080\", alpha=\"0.14\", expect_size=\"15327232\"] \n  37 -> 38 [size =\"15327232\"]\n  38 [size=\"84106240\", alpha=\"0.00\", expect_size=\"33642496\"] \n  38 -> 39 [size =\"33642496\"]\n  39 [size=\"26908160\", alpha=\"0.07\", expect_size=\"10763264\"] \n  39 -> 40 [size =\"10763264\"]\n  40 [size=\"58268160\", alpha=\"0.10\", expect_size=\"23307264\"] \n  40 -> 41 [size =\"23307264\"]\n  41 [size=\"117775360\", alpha=\"0.10\", expect_size=\"47110144\"] \n  41 -> 42 [size =\"47110144\"]\n  42 [size=\"84034560\", alpha=\"0.17\", expect_size=\"33613824\"] \n  42 -> 43 [size =\"33613824\"]\n  43 [size=\"22924800\", alpha=\"0.18\", expect_size=\"9169920\"] \n  43 -> 44 [size =\"9169920\"]\n  44 [size=\"128839680\", alpha=\"0.09\", expect_size=\"51535872\"] \n  44 -> 45 [size =\"51535872\"]\n  45 [size=\"55930880\", alpha=\"0.05\", expect_size=\"22372352\"] \n  45 -> 46 [size =\"22372352\"]\n  46 [size=\"69496320\", alpha=\"0.15\", expect_size=\"27798528\"] \n  46 -> 47 [size =\"27798528\"]\n  47 [size=\"115002880\", alpha=\"0.16\", expect_size=\"46001152\"] \n  47 -> 48 [size =\"46001152\"]\n  48 [size=\"79403520\", alpha=\"0.08\", expect_size=\"31761408\"] \n  48 -> 49 [size =\"31761408\"]\n  49 [size=\"81425920\", alpha=\"0.09\", expect_size=\"32570368\"] \n  49 -> 50 [size =\"32570368\"]\n  50 [size=\"122004480\", alpha=\"0.18\", expect_size=\"48801792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.604.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96829440\", alpha=\"0.05\", expect_size=\"38731776\"] \n  1 -> 3 [size =\"38731776\"]\n  1 -> 4 [size =\"38731776\"]\n  2 [size=\"67089920\", alpha=\"0.07\", expect_size=\"26835968\"] \n  3 [size=\"38807040\", alpha=\"0.05\", expect_size=\"15522816\"] \n  3 -> 5 [size =\"15522816\"]\n  3 -> 6 [size =\"15522816\"]\n  4 [size=\"70737920\", alpha=\"0.13\", expect_size=\"28295168\"] \n  4 -> 6 [size =\"28295168\"]\n  5 [size=\"124070400\", alpha=\"0.12\", expect_size=\"49628160\"] \n  5 -> 7 [size =\"49628160\"]\n  5 -> 8 [size =\"49628160\"]\n  6 [size=\"129848320\", alpha=\"0.02\", expect_size=\"51939328\"] \n  7 [size=\"53882880\", alpha=\"0.03\", expect_size=\"21553152\"] \n  7 -> 10 [size =\"21553152\"]\n  8 [size=\"101045760\", alpha=\"0.05\", expect_size=\"40418304\"] \n  8 -> 9 [size =\"40418304\"]\n  8 -> 11 [size =\"40418304\"]\n  9 [size=\"13578240\", alpha=\"0.00\", expect_size=\"5431296\"] \n  9 -> 12 [size =\"5431296\"]\n  10 [size=\"65635840\", alpha=\"0.06\", expect_size=\"26254336\"] \n  10 -> 12 [size =\"26254336\"]\n  11 [size=\"47290880\", alpha=\"0.15\", expect_size=\"18916352\"] \n  11 -> 13 [size =\"18916352\"]\n  12 [size=\"77931520\", alpha=\"0.01\", expect_size=\"31172608\"] \n  12 -> 14 [size =\"31172608\"]\n  12 -> 15 [size =\"31172608\"]\n  12 -> 16 [size =\"31172608\"]\n  13 [size=\"118922240\", alpha=\"0.02\", expect_size=\"47568896\"] \n  13 -> 14 [size =\"47568896\"]\n  13 -> 16 [size =\"47568896\"]\n  14 [size=\"28505600\", alpha=\"0.08\", expect_size=\"11402240\"] \n  14 -> 18 [size =\"11402240\"]\n  15 [size=\"105707520\", alpha=\"0.03\", expect_size=\"42283008\"] \n  16 [size=\"59217920\", alpha=\"0.12\", expect_size=\"23687168\"] \n  16 -> 17 [size =\"23687168\"]\n  17 [size=\"69053440\", alpha=\"0.18\", expect_size=\"27621376\"] \n  17 -> 19 [size =\"27621376\"]\n  17 -> 20 [size =\"27621376\"]\n  18 [size=\"87577600\", alpha=\"0.04\", expect_size=\"35031040\"] \n  18 -> 19 [size =\"35031040\"]\n  18 -> 20 [size =\"35031040\"]\n  19 [size=\"119372800\", alpha=\"0.04\", expect_size=\"47749120\"] \n  19 -> 21 [size =\"47749120\"]\n  19 -> 22 [size =\"47749120\"]\n  19 -> 23 [size =\"47749120\"]\n  20 [size=\"120209920\", alpha=\"0.14\", expect_size=\"48083968\"] \n  20 -> 21 [size =\"48083968\"]\n  20 -> 23 [size =\"48083968\"]\n  21 [size=\"34854400\", alpha=\"0.19\", expect_size=\"13941760\"] \n  21 -> 25 [size =\"13941760\"]\n  22 [size=\"123000320\", alpha=\"0.12\", expect_size=\"49200128\"] \n  22 -> 25 [size =\"49200128\"]\n  23 [size=\"130411520\", alpha=\"0.10\", expect_size=\"52164608\"] \n  23 -> 24 [size =\"52164608\"]\n  24 [size=\"22284800\", alpha=\"0.18\", expect_size=\"8913920\"] \n  24 -> 26 [size =\"8913920\"]\n  24 -> 27 [size =\"8913920\"]\n  25 [size=\"68864000\", alpha=\"0.04\", expect_size=\"27545600\"] \n  25 -> 27 [size =\"27545600\"]\n  26 [size=\"87249920\", alpha=\"0.10\", expect_size=\"34899968\"] \n  26 -> 28 [size =\"34899968\"]\n  27 [size=\"40166400\", alpha=\"0.03\", expect_size=\"16066560\"] \n  27 -> 29 [size =\"16066560\"]\n  27 -> 30 [size =\"16066560\"]\n  28 [size=\"29885440\", alpha=\"0.11\", expect_size=\"11954176\"] \n  29 [size=\"54950400\", alpha=\"0.20\", expect_size=\"21980160\"] \n  29 -> 32 [size =\"21980160\"]\n  30 [size=\"80463360\", alpha=\"0.17\", expect_size=\"32185344\"] \n  30 -> 31 [size =\"32185344\"]\n  31 [size=\"47713280\", alpha=\"0.19\", expect_size=\"19085312\"] \n  31 -> 33 [size =\"19085312\"]\n  31 -> 34 [size =\"19085312\"]\n  32 [size=\"40424960\", alpha=\"0.13\", expect_size=\"16169984\"] \n  32 -> 33 [size =\"16169984\"]\n  32 -> 34 [size =\"16169984\"]\n  33 [size=\"112581120\", alpha=\"0.05\", expect_size=\"45032448\"] \n  33 -> 36 [size =\"45032448\"]\n  33 -> 37 [size =\"45032448\"]\n  34 [size=\"53949440\", alpha=\"0.19\", expect_size=\"21579776\"] \n  34 -> 35 [size =\"21579776\"]\n  35 [size=\"40130560\", alpha=\"0.09\", expect_size=\"16052224\"] \n  35 -> 39 [size =\"16052224\"]\n  35 -> 40 [size =\"16052224\"]\n  36 [size=\"64122880\", alpha=\"0.07\", expect_size=\"25649152\"] \n  36 -> 38 [size =\"25649152\"]\n  37 [size=\"124705280\", alpha=\"0.15\", expect_size=\"49882112\"] \n  37 -> 39 [size =\"49882112\"]\n  38 [size=\"26723840\", alpha=\"0.14\", expect_size=\"10689536\"] \n  38 -> 41 [size =\"10689536\"]\n  38 -> 42 [size =\"10689536\"]\n  39 [size=\"94051840\", alpha=\"0.12\", expect_size=\"37620736\"] \n  39 -> 41 [size =\"37620736\"]\n  40 [size=\"91228160\", alpha=\"0.09\", expect_size=\"36491264\"] \n  40 -> 41 [size =\"36491264\"]\n  41 [size=\"70784000\", alpha=\"0.08\", expect_size=\"28313600\"] \n  41 -> 43 [size =\"28313600\"]\n  41 -> 44 [size =\"28313600\"]\n  41 -> 45 [size =\"28313600\"]\n  42 [size=\"66903040\", alpha=\"0.07\", expect_size=\"26761216\"] \n  42 -> 43 [size =\"26761216\"]\n  42 -> 44 [size =\"26761216\"]\n  43 [size=\"26444800\", alpha=\"0.05\", expect_size=\"10577920\"] \n  43 -> 46 [size =\"10577920\"]\n  44 [size=\"55229440\", alpha=\"0.05\", expect_size=\"22091776\"] \n  45 [size=\"50688000\", alpha=\"0.15\", expect_size=\"20275200\"] \n  45 -> 47 [size =\"20275200\"]\n  46 [size=\"105425920\", alpha=\"0.17\", expect_size=\"42170368\"] \n  46 -> 50 [size =\"42170368\"]\n  47 [size=\"29626880\", alpha=\"0.03\", expect_size=\"11850752\"] \n  47 -> 48 [size =\"11850752\"]\n  47 -> 49 [size =\"11850752\"]\n  47 -> 50 [size =\"11850752\"]\n  48 [size=\"115169280\", alpha=\"0.12\", expect_size=\"46067712\"] \n  49 [size=\"82629120\", alpha=\"0.09\", expect_size=\"33051648\"] \n  50 [size=\"38269440\", alpha=\"0.17\", expect_size=\"15307776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.605.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84103680\", alpha=\"0.20\", expect_size=\"33641472\"] \n  1 -> 2 [size =\"33641472\"]\n  2 [size=\"130910720\", alpha=\"0.09\", expect_size=\"52364288\"] \n  2 -> 3 [size =\"52364288\"]\n  3 [size=\"107156480\", alpha=\"0.11\", expect_size=\"42862592\"] \n  3 -> 4 [size =\"42862592\"]\n  4 [size=\"75893760\", alpha=\"0.07\", expect_size=\"30357504\"] \n  4 -> 5 [size =\"30357504\"]\n  5 [size=\"105198080\", alpha=\"0.03\", expect_size=\"42079232\"] \n  5 -> 6 [size =\"42079232\"]\n  6 [size=\"27952640\", alpha=\"0.09\", expect_size=\"11181056\"] \n  6 -> 7 [size =\"11181056\"]\n  7 [size=\"117555200\", alpha=\"0.15\", expect_size=\"47022080\"] \n  7 -> 8 [size =\"47022080\"]\n  8 [size=\"35681280\", alpha=\"0.06\", expect_size=\"14272512\"] \n  8 -> 9 [size =\"14272512\"]\n  9 [size=\"107435520\", alpha=\"0.11\", expect_size=\"42974208\"] \n  9 -> 10 [size =\"42974208\"]\n  10 [size=\"18496000\", alpha=\"0.17\", expect_size=\"7398400\"] \n  10 -> 11 [size =\"7398400\"]\n  11 [size=\"95424000\", alpha=\"0.12\", expect_size=\"38169600\"] \n  11 -> 12 [size =\"38169600\"]\n  12 [size=\"94361600\", alpha=\"0.08\", expect_size=\"37744640\"] \n  12 -> 13 [size =\"37744640\"]\n  13 [size=\"27422720\", alpha=\"0.00\", expect_size=\"10969088\"] \n  13 -> 14 [size =\"10969088\"]\n  14 [size=\"94771200\", alpha=\"0.10\", expect_size=\"37908480\"] \n  14 -> 15 [size =\"37908480\"]\n  15 [size=\"15336960\", alpha=\"0.02\", expect_size=\"6134784\"] \n  15 -> 16 [size =\"6134784\"]\n  16 [size=\"32596480\", alpha=\"0.15\", expect_size=\"13038592\"] \n  16 -> 17 [size =\"13038592\"]\n  17 [size=\"87383040\", alpha=\"0.17\", expect_size=\"34953216\"] \n  17 -> 18 [size =\"34953216\"]\n  18 [size=\"58931200\", alpha=\"0.03\", expect_size=\"23572480\"] \n  18 -> 19 [size =\"23572480\"]\n  19 [size=\"92879360\", alpha=\"0.07\", expect_size=\"37151744\"] \n  19 -> 20 [size =\"37151744\"]\n  20 [size=\"42329600\", alpha=\"0.00\", expect_size=\"16931840\"] \n  20 -> 21 [size =\"16931840\"]\n  21 [size=\"23511040\", alpha=\"0.06\", expect_size=\"9404416\"] \n  21 -> 22 [size =\"9404416\"]\n  22 [size=\"96296960\", alpha=\"0.11\", expect_size=\"38518784\"] \n  22 -> 23 [size =\"38518784\"]\n  23 [size=\"27555840\", alpha=\"0.12\", expect_size=\"11022336\"] \n  23 -> 24 [size =\"11022336\"]\n  24 [size=\"28774400\", alpha=\"0.04\", expect_size=\"11509760\"] \n  24 -> 25 [size =\"11509760\"]\n  25 [size=\"87203840\", alpha=\"0.12\", expect_size=\"34881536\"] \n  25 -> 26 [size =\"34881536\"]\n  26 [size=\"101939200\", alpha=\"0.02\", expect_size=\"40775680\"] \n  26 -> 27 [size =\"40775680\"]\n  27 [size=\"69570560\", alpha=\"0.09\", expect_size=\"27828224\"] \n  27 -> 28 [size =\"27828224\"]\n  28 [size=\"54599680\", alpha=\"0.01\", expect_size=\"21839872\"] \n  28 -> 29 [size =\"21839872\"]\n  29 [size=\"74626560\", alpha=\"0.09\", expect_size=\"29850624\"] \n  29 -> 30 [size =\"29850624\"]\n  30 [size=\"115143680\", alpha=\"0.17\", expect_size=\"46057472\"] \n  30 -> 31 [size =\"46057472\"]\n  31 [size=\"116213760\", alpha=\"0.19\", expect_size=\"46485504\"] \n  31 -> 32 [size =\"46485504\"]\n  32 [size=\"30871040\", alpha=\"0.16\", expect_size=\"12348416\"] \n  32 -> 33 [size =\"12348416\"]\n  33 [size=\"94881280\", alpha=\"0.14\", expect_size=\"37952512\"] \n  33 -> 34 [size =\"37952512\"]\n  34 [size=\"48404480\", alpha=\"0.07\", expect_size=\"19361792\"] \n  34 -> 35 [size =\"19361792\"]\n  35 [size=\"72194560\", alpha=\"0.20\", expect_size=\"28877824\"] \n  35 -> 36 [size =\"28877824\"]\n  36 [size=\"22410240\", alpha=\"0.16\", expect_size=\"8964096\"] \n  36 -> 37 [size =\"8964096\"]\n  37 [size=\"31864320\", alpha=\"0.05\", expect_size=\"12745728\"] \n  37 -> 38 [size =\"12745728\"]\n  38 [size=\"87042560\", alpha=\"0.01\", expect_size=\"34817024\"] \n  38 -> 39 [size =\"34817024\"]\n  39 [size=\"92556800\", alpha=\"0.11\", expect_size=\"37022720\"] \n  39 -> 40 [size =\"37022720\"]\n  40 [size=\"24770560\", alpha=\"0.06\", expect_size=\"9908224\"] \n  40 -> 41 [size =\"9908224\"]\n  41 [size=\"125004800\", alpha=\"0.03\", expect_size=\"50001920\"] \n  41 -> 42 [size =\"50001920\"]\n  42 [size=\"121679360\", alpha=\"0.14\", expect_size=\"48671744\"] \n  42 -> 43 [size =\"48671744\"]\n  43 [size=\"96053760\", alpha=\"0.07\", expect_size=\"38421504\"] \n  43 -> 44 [size =\"38421504\"]\n  44 [size=\"62446080\", alpha=\"0.03\", expect_size=\"24978432\"] \n  44 -> 45 [size =\"24978432\"]\n  45 [size=\"102517760\", alpha=\"0.12\", expect_size=\"41007104\"] \n  45 -> 46 [size =\"41007104\"]\n  46 [size=\"100538880\", alpha=\"0.15\", expect_size=\"40215552\"] \n  46 -> 47 [size =\"40215552\"]\n  47 [size=\"75996160\", alpha=\"0.09\", expect_size=\"30398464\"] \n  47 -> 48 [size =\"30398464\"]\n  48 [size=\"103168000\", alpha=\"0.09\", expect_size=\"41267200\"] \n  48 -> 49 [size =\"41267200\"]\n  49 [size=\"109918720\", alpha=\"0.19\", expect_size=\"43967488\"] \n  49 -> 50 [size =\"43967488\"]\n  50 [size=\"58053120\", alpha=\"0.07\", expect_size=\"23221248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.606.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91315200\", alpha=\"0.04\", expect_size=\"36526080\"] \n  1 -> 41 [size =\"36526080\"]\n  1 -> 42 [size =\"36526080\"]\n  1 -> 46 [size =\"36526080\"]\n  1 -> 50 [size =\"36526080\"]\n  2 [size=\"64120320\", alpha=\"0.03\", expect_size=\"25648128\"] \n  2 -> 45 [size =\"25648128\"]\n  2 -> 46 [size =\"25648128\"]\n  2 -> 46 [size =\"25648128\"]\n  2 -> 49 [size =\"25648128\"]\n  3 [size=\"22315520\", alpha=\"0.02\", expect_size=\"8926208\"] \n  3 -> 42 [size =\"8926208\"]\n  3 -> 43 [size =\"8926208\"]\n  3 -> 44 [size =\"8926208\"]\n  3 -> 46 [size =\"8926208\"]\n  3 -> 50 [size =\"8926208\"]\n  4 [size=\"18685440\", alpha=\"0.16\", expect_size=\"7474176\"] \n  4 -> 41 [size =\"7474176\"]\n  4 -> 43 [size =\"7474176\"]\n  4 -> 46 [size =\"7474176\"]\n  4 -> 46 [size =\"7474176\"]\n  4 -> 48 [size =\"7474176\"]\n  5 [size=\"98595840\", alpha=\"0.09\", expect_size=\"39438336\"] \n  5 -> 42 [size =\"39438336\"]\n  5 -> 44 [size =\"39438336\"]\n  5 -> 46 [size =\"39438336\"]\n  5 -> 48 [size =\"39438336\"]\n  5 -> 50 [size =\"39438336\"]\n  6 [size=\"71846400\", alpha=\"0.08\", expect_size=\"28738560\"] \n  6 -> 44 [size =\"28738560\"]\n  6 -> 45 [size =\"28738560\"]\n  6 -> 48 [size =\"28738560\"]\n  6 -> 50 [size =\"28738560\"]\n  6 -> 50 [size =\"28738560\"]\n  7 [size=\"87810560\", alpha=\"0.16\", expect_size=\"35124224\"] \n  7 -> 41 [size =\"35124224\"]\n  7 -> 43 [size =\"35124224\"]\n  7 -> 45 [size =\"35124224\"]\n  7 -> 47 [size =\"35124224\"]\n  7 -> 49 [size =\"35124224\"]\n  8 [size=\"41817600\", alpha=\"0.05\", expect_size=\"16727040\"] \n  8 -> 41 [size =\"16727040\"]\n  8 -> 44 [size =\"16727040\"]\n  8 -> 46 [size =\"16727040\"]\n  9 [size=\"34990080\", alpha=\"0.08\", expect_size=\"13996032\"] \n  9 -> 41 [size =\"13996032\"]\n  9 -> 44 [size =\"13996032\"]\n  9 -> 45 [size =\"13996032\"]\n  9 -> 46 [size =\"13996032\"]\n  9 -> 48 [size =\"13996032\"]\n  10 [size=\"129617920\", alpha=\"0.02\", expect_size=\"51847168\"] \n  10 -> 41 [size =\"51847168\"]\n  10 -> 43 [size =\"51847168\"]\n  10 -> 45 [size =\"51847168\"]\n  10 -> 48 [size =\"51847168\"]\n  11 [size=\"79260160\", alpha=\"0.07\", expect_size=\"31704064\"] \n  11 -> 41 [size =\"31704064\"]\n  11 -> 44 [size =\"31704064\"]\n  11 -> 46 [size =\"31704064\"]\n  11 -> 47 [size =\"31704064\"]\n  11 -> 48 [size =\"31704064\"]\n  12 [size=\"101388800\", alpha=\"0.10\", expect_size=\"40555520\"] \n  12 -> 41 [size =\"40555520\"]\n  12 -> 45 [size =\"40555520\"]\n  13 [size=\"120002560\", alpha=\"0.14\", expect_size=\"48001024\"] \n  13 -> 41 [size =\"48001024\"]\n  13 -> 44 [size =\"48001024\"]\n  14 [size=\"15249920\", alpha=\"0.16\", expect_size=\"6099968\"] \n  14 -> 41 [size =\"6099968\"]\n  14 -> 43 [size =\"6099968\"]\n  14 -> 46 [size =\"6099968\"]\n  14 -> 48 [size =\"6099968\"]\n  15 [size=\"112040960\", alpha=\"0.07\", expect_size=\"44816384\"] \n  15 -> 41 [size =\"44816384\"]\n  15 -> 44 [size =\"44816384\"]\n  15 -> 48 [size =\"44816384\"]\n  15 -> 49 [size =\"44816384\"]\n  16 [size=\"48980480\", alpha=\"0.12\", expect_size=\"19592192\"] \n  16 -> 41 [size =\"19592192\"]\n  16 -> 43 [size =\"19592192\"]\n  16 -> 50 [size =\"19592192\"]\n  17 [size=\"98388480\", alpha=\"0.01\", expect_size=\"39355392\"] \n  17 -> 41 [size =\"39355392\"]\n  17 -> 43 [size =\"39355392\"]\n  17 -> 44 [size =\"39355392\"]\n  17 -> 46 [size =\"39355392\"]\n  18 [size=\"73047040\", alpha=\"0.19\", expect_size=\"29218816\"] \n  18 -> 41 [size =\"29218816\"]\n  18 -> 43 [size =\"29218816\"]\n  18 -> 46 [size =\"29218816\"]\n  18 -> 48 [size =\"29218816\"]\n  19 [size=\"101012480\", alpha=\"0.09\", expect_size=\"40404992\"] \n  19 -> 43 [size =\"40404992\"]\n  19 -> 45 [size =\"40404992\"]\n  19 -> 50 [size =\"40404992\"]\n  20 [size=\"29800960\", alpha=\"0.18\", expect_size=\"11920384\"] \n  20 -> 41 [size =\"11920384\"]\n  20 -> 43 [size =\"11920384\"]\n  20 -> 45 [size =\"11920384\"]\n  20 -> 46 [size =\"11920384\"]\n  20 -> 50 [size =\"11920384\"]\n  21 [size=\"44224000\", alpha=\"0.00\", expect_size=\"17689600\"] \n  21 -> 43 [size =\"17689600\"]\n  21 -> 45 [size =\"17689600\"]\n  22 [size=\"86003200\", alpha=\"0.11\", expect_size=\"34401280\"] \n  22 -> 42 [size =\"34401280\"]\n  22 -> 44 [size =\"34401280\"]\n  22 -> 46 [size =\"34401280\"]\n  22 -> 47 [size =\"34401280\"]\n  22 -> 48 [size =\"34401280\"]\n  23 [size=\"25190400\", alpha=\"0.04\", expect_size=\"10076160\"] \n  23 -> 41 [size =\"10076160\"]\n  23 -> 44 [size =\"10076160\"]\n  23 -> 45 [size =\"10076160\"]\n  23 -> 48 [size =\"10076160\"]\n  23 -> 50 [size =\"10076160\"]\n  24 [size=\"106913280\", alpha=\"0.18\", expect_size=\"42765312\"] \n  24 -> 41 [size =\"42765312\"]\n  24 -> 45 [size =\"42765312\"]\n  24 -> 46 [size =\"42765312\"]\n  24 -> 48 [size =\"42765312\"]\n  24 -> 50 [size =\"42765312\"]\n  25 [size=\"81994240\", alpha=\"0.06\", expect_size=\"32797696\"] \n  25 -> 41 [size =\"32797696\"]\n  25 -> 43 [size =\"32797696\"]\n  25 -> 48 [size =\"32797696\"]\n  26 [size=\"121512960\", alpha=\"0.04\", expect_size=\"48605184\"] \n  26 -> 41 [size =\"48605184\"]\n  26 -> 43 [size =\"48605184\"]\n  26 -> 46 [size =\"48605184\"]\n  27 [size=\"76024320\", alpha=\"0.14\", expect_size=\"30409728\"] \n  27 -> 43 [size =\"30409728\"]\n  27 -> 43 [size =\"30409728\"]\n  28 [size=\"81438720\", alpha=\"0.10\", expect_size=\"32575488\"] \n  28 -> 43 [size =\"32575488\"]\n  28 -> 44 [size =\"32575488\"]\n  28 -> 46 [size =\"32575488\"]\n  28 -> 47 [size =\"32575488\"]\n  28 -> 48 [size =\"32575488\"]\n  29 [size=\"72867840\", alpha=\"0.09\", expect_size=\"29147136\"] \n  29 -> 41 [size =\"29147136\"]\n  29 -> 43 [size =\"29147136\"]\n  29 -> 46 [size =\"29147136\"]\n  29 -> 47 [size =\"29147136\"]\n  29 -> 48 [size =\"29147136\"]\n  30 [size=\"123975680\", alpha=\"0.08\", expect_size=\"49590272\"] \n  30 -> 41 [size =\"49590272\"]\n  30 -> 46 [size =\"49590272\"]\n  30 -> 48 [size =\"49590272\"]\n  31 [size=\"111280640\", alpha=\"0.19\", expect_size=\"44512256\"] \n  31 -> 41 [size =\"44512256\"]\n  31 -> 43 [size =\"44512256\"]\n  31 -> 48 [size =\"44512256\"]\n  31 -> 49 [size =\"44512256\"]\n  31 -> 50 [size =\"44512256\"]\n  32 [size=\"112993280\", alpha=\"0.04\", expect_size=\"45197312\"] \n  32 -> 41 [size =\"45197312\"]\n  32 -> 43 [size =\"45197312\"]\n  32 -> 46 [size =\"45197312\"]\n  32 -> 48 [size =\"45197312\"]\n  33 [size=\"62161920\", alpha=\"0.07\", expect_size=\"24864768\"] \n  33 -> 43 [size =\"24864768\"]\n  33 -> 43 [size =\"24864768\"]\n  33 -> 48 [size =\"24864768\"]\n  34 [size=\"85962240\", alpha=\"0.11\", expect_size=\"34384896\"] \n  34 -> 43 [size =\"34384896\"]\n  34 -> 44 [size =\"34384896\"]\n  34 -> 45 [size =\"34384896\"]\n  34 -> 46 [size =\"34384896\"]\n  34 -> 48 [size =\"34384896\"]\n  35 [size=\"72007680\", alpha=\"0.11\", expect_size=\"28803072\"] \n  35 -> 42 [size =\"28803072\"]\n  35 -> 43 [size =\"28803072\"]\n  35 -> 44 [size =\"28803072\"]\n  35 -> 45 [size =\"28803072\"]\n  35 -> 46 [size =\"28803072\"]\n  36 [size=\"105786880\", alpha=\"0.18\", expect_size=\"42314752\"] \n  36 -> 43 [size =\"42314752\"]\n  36 -> 46 [size =\"42314752\"]\n  36 -> 50 [size =\"42314752\"]\n  37 [size=\"128076800\", alpha=\"0.19\", expect_size=\"51230720\"] \n  37 -> 41 [size =\"51230720\"]\n  37 -> 43 [size =\"51230720\"]\n  37 -> 45 [size =\"51230720\"]\n  37 -> 46 [size =\"51230720\"]\n  37 -> 47 [size =\"51230720\"]\n  38 [size=\"95618560\", alpha=\"0.10\", expect_size=\"38247424\"] \n  38 -> 41 [size =\"38247424\"]\n  38 -> 43 [size =\"38247424\"]\n  38 -> 44 [size =\"38247424\"]\n  38 -> 45 [size =\"38247424\"]\n  38 -> 46 [size =\"38247424\"]\n  38 -> 47 [size =\"38247424\"]\n  38 -> 48 [size =\"38247424\"]\n  39 [size=\"37122560\", alpha=\"0.16\", expect_size=\"14849024\"] \n  39 -> 41 [size =\"14849024\"]\n  39 -> 43 [size =\"14849024\"]\n  39 -> 44 [size =\"14849024\"]\n  39 -> 45 [size =\"14849024\"]\n  39 -> 46 [size =\"14849024\"]\n  39 -> 48 [size =\"14849024\"]\n  39 -> 49 [size =\"14849024\"]\n  40 [size=\"92439040\", alpha=\"0.05\", expect_size=\"36975616\"] \n  40 -> 41 [size =\"36975616\"]\n  40 -> 46 [size =\"36975616\"]\n  40 -> 50 [size =\"36975616\"]\n  41 [size=\"24181760\", alpha=\"0.20\", expect_size=\"9672704\"] \n  42 [size=\"16473600\", alpha=\"0.06\", expect_size=\"6589440\"] \n  43 [size=\"39631360\", alpha=\"0.15\", expect_size=\"15852544\"] \n  44 [size=\"82588160\", alpha=\"0.19\", expect_size=\"33035264\"] \n  45 [size=\"29519360\", alpha=\"0.15\", expect_size=\"11807744\"] \n  46 [size=\"97331200\", alpha=\"0.10\", expect_size=\"38932480\"] \n  47 [size=\"85962240\", alpha=\"0.15\", expect_size=\"34384896\"] \n  48 [size=\"80701440\", alpha=\"0.12\", expect_size=\"32280576\"] \n  49 [size=\"23518720\", alpha=\"0.19\", expect_size=\"9407488\"] \n  50 [size=\"120289280\", alpha=\"0.05\", expect_size=\"48115712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.607.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44812800\", alpha=\"0.01\", expect_size=\"17925120\"] \n  1 -> 37 [size =\"17925120\"]\n  1 -> 39 [size =\"17925120\"]\n  1 -> 43 [size =\"17925120\"]\n  1 -> 44 [size =\"17925120\"]\n  2 [size=\"57326080\", alpha=\"0.15\", expect_size=\"22930432\"] \n  2 -> 32 [size =\"22930432\"]\n  2 -> 36 [size =\"22930432\"]\n  2 -> 42 [size =\"22930432\"]\n  2 -> 43 [size =\"22930432\"]\n  2 -> 44 [size =\"22930432\"]\n  2 -> 47 [size =\"22930432\"]\n  3 [size=\"35532800\", alpha=\"0.13\", expect_size=\"14213120\"] \n  3 -> 32 [size =\"14213120\"]\n  3 -> 36 [size =\"14213120\"]\n  3 -> 38 [size =\"14213120\"]\n  3 -> 42 [size =\"14213120\"]\n  3 -> 43 [size =\"14213120\"]\n  3 -> 44 [size =\"14213120\"]\n  4 [size=\"57052160\", alpha=\"0.18\", expect_size=\"22820864\"] \n  4 -> 32 [size =\"22820864\"]\n  4 -> 43 [size =\"22820864\"]\n  4 -> 50 [size =\"22820864\"]\n  5 [size=\"96834560\", alpha=\"0.07\", expect_size=\"38733824\"] \n  5 -> 33 [size =\"38733824\"]\n  5 -> 43 [size =\"38733824\"]\n  5 -> 47 [size =\"38733824\"]\n  5 -> 49 [size =\"38733824\"]\n  5 -> 50 [size =\"38733824\"]\n  6 [size=\"16506880\", alpha=\"0.05\", expect_size=\"6602752\"] \n  6 -> 36 [size =\"6602752\"]\n  6 -> 41 [size =\"6602752\"]\n  6 -> 43 [size =\"6602752\"]\n  6 -> 47 [size =\"6602752\"]\n  6 -> 49 [size =\"6602752\"]\n  6 -> 50 [size =\"6602752\"]\n  7 [size=\"46241280\", alpha=\"0.04\", expect_size=\"18496512\"] \n  7 -> 36 [size =\"18496512\"]\n  7 -> 41 [size =\"18496512\"]\n  7 -> 43 [size =\"18496512\"]\n  7 -> 45 [size =\"18496512\"]\n  7 -> 47 [size =\"18496512\"]\n  7 -> 49 [size =\"18496512\"]\n  7 -> 50 [size =\"18496512\"]\n  8 [size=\"70801920\", alpha=\"0.04\", expect_size=\"28320768\"] \n  8 -> 32 [size =\"28320768\"]\n  8 -> 37 [size =\"28320768\"]\n  8 -> 39 [size =\"28320768\"]\n  8 -> 41 [size =\"28320768\"]\n  8 -> 44 [size =\"28320768\"]\n  8 -> 45 [size =\"28320768\"]\n  8 -> 47 [size =\"28320768\"]\n  9 [size=\"84963840\", alpha=\"0.12\", expect_size=\"33985536\"] \n  9 -> 32 [size =\"33985536\"]\n  9 -> 34 [size =\"33985536\"]\n  9 -> 41 [size =\"33985536\"]\n  9 -> 43 [size =\"33985536\"]\n  9 -> 44 [size =\"33985536\"]\n  9 -> 45 [size =\"33985536\"]\n  9 -> 46 [size =\"33985536\"]\n  9 -> 47 [size =\"33985536\"]\n  9 -> 50 [size =\"33985536\"]\n  10 [size=\"27271680\", alpha=\"0.00\", expect_size=\"10908672\"] \n  10 -> 36 [size =\"10908672\"]\n  10 -> 43 [size =\"10908672\"]\n  10 -> 44 [size =\"10908672\"]\n  10 -> 45 [size =\"10908672\"]\n  10 -> 47 [size =\"10908672\"]\n  10 -> 49 [size =\"10908672\"]\n  10 -> 50 [size =\"10908672\"]\n  11 [size=\"15459840\", alpha=\"0.18\", expect_size=\"6183936\"] \n  11 -> 36 [size =\"6183936\"]\n  11 -> 41 [size =\"6183936\"]\n  11 -> 46 [size =\"6183936\"]\n  11 -> 49 [size =\"6183936\"]\n  11 -> 50 [size =\"6183936\"]\n  12 [size=\"22090240\", alpha=\"0.15\", expect_size=\"8836096\"] \n  12 -> 34 [size =\"8836096\"]\n  12 -> 41 [size =\"8836096\"]\n  12 -> 50 [size =\"8836096\"]\n  13 [size=\"110364160\", alpha=\"0.02\", expect_size=\"44145664\"] \n  13 -> 32 [size =\"44145664\"]\n  13 -> 37 [size =\"44145664\"]\n  13 -> 44 [size =\"44145664\"]\n  13 -> 46 [size =\"44145664\"]\n  13 -> 47 [size =\"44145664\"]\n  14 [size=\"66862080\", alpha=\"0.10\", expect_size=\"26744832\"] \n  14 -> 32 [size =\"26744832\"]\n  14 -> 34 [size =\"26744832\"]\n  14 -> 35 [size =\"26744832\"]\n  14 -> 36 [size =\"26744832\"]\n  14 -> 37 [size =\"26744832\"]\n  14 -> 38 [size =\"26744832\"]\n  14 -> 44 [size =\"26744832\"]\n  14 -> 47 [size =\"26744832\"]\n  14 -> 50 [size =\"26744832\"]\n  15 [size=\"57914880\", alpha=\"0.20\", expect_size=\"23165952\"] \n  15 -> 32 [size =\"23165952\"]\n  15 -> 36 [size =\"23165952\"]\n  15 -> 37 [size =\"23165952\"]\n  15 -> 38 [size =\"23165952\"]\n  15 -> 40 [size =\"23165952\"]\n  15 -> 43 [size =\"23165952\"]\n  15 -> 44 [size =\"23165952\"]\n  15 -> 46 [size =\"23165952\"]\n  15 -> 49 [size =\"23165952\"]\n  15 -> 50 [size =\"23165952\"]\n  16 [size=\"96657920\", alpha=\"0.13\", expect_size=\"38663168\"] \n  16 -> 32 [size =\"38663168\"]\n  16 -> 37 [size =\"38663168\"]\n  16 -> 41 [size =\"38663168\"]\n  16 -> 46 [size =\"38663168\"]\n  17 [size=\"125196800\", alpha=\"0.14\", expect_size=\"50078720\"] \n  17 -> 32 [size =\"50078720\"]\n  17 -> 35 [size =\"50078720\"]\n  17 -> 41 [size =\"50078720\"]\n  17 -> 44 [size =\"50078720\"]\n  18 [size=\"29606400\", alpha=\"0.10\", expect_size=\"11842560\"] \n  18 -> 34 [size =\"11842560\"]\n  18 -> 41 [size =\"11842560\"]\n  18 -> 44 [size =\"11842560\"]\n  18 -> 49 [size =\"11842560\"]\n  19 [size=\"52480000\", alpha=\"0.08\", expect_size=\"20992000\"] \n  19 -> 32 [size =\"20992000\"]\n  19 -> 34 [size =\"20992000\"]\n  19 -> 37 [size =\"20992000\"]\n  19 -> 42 [size =\"20992000\"]\n  19 -> 49 [size =\"20992000\"]\n  20 [size=\"120752640\", alpha=\"0.12\", expect_size=\"48301056\"] \n  20 -> 37 [size =\"48301056\"]\n  20 -> 42 [size =\"48301056\"]\n  20 -> 43 [size =\"48301056\"]\n  20 -> 45 [size =\"48301056\"]\n  20 -> 46 [size =\"48301056\"]\n  20 -> 49 [size =\"48301056\"]\n  20 -> 50 [size =\"48301056\"]\n  21 [size=\"123156480\", alpha=\"0.01\", expect_size=\"49262592\"] \n  21 -> 32 [size =\"49262592\"]\n  21 -> 36 [size =\"49262592\"]\n  21 -> 37 [size =\"49262592\"]\n  21 -> 41 [size =\"49262592\"]\n  21 -> 44 [size =\"49262592\"]\n  21 -> 46 [size =\"49262592\"]\n  22 [size=\"110325760\", alpha=\"0.18\", expect_size=\"44130304\"] \n  22 -> 34 [size =\"44130304\"]\n  22 -> 36 [size =\"44130304\"]\n  22 -> 37 [size =\"44130304\"]\n  22 -> 41 [size =\"44130304\"]\n  22 -> 44 [size =\"44130304\"]\n  22 -> 49 [size =\"44130304\"]\n  23 [size=\"79897600\", alpha=\"0.18\", expect_size=\"31959040\"] \n  23 -> 32 [size =\"31959040\"]\n  23 -> 34 [size =\"31959040\"]\n  23 -> 36 [size =\"31959040\"]\n  23 -> 41 [size =\"31959040\"]\n  23 -> 47 [size =\"31959040\"]\n  23 -> 50 [size =\"31959040\"]\n  24 [size=\"93821440\", alpha=\"0.06\", expect_size=\"37528576\"] \n  24 -> 34 [size =\"37528576\"]\n  24 -> 35 [size =\"37528576\"]\n  24 -> 36 [size =\"37528576\"]\n  24 -> 43 [size =\"37528576\"]\n  24 -> 46 [size =\"37528576\"]\n  24 -> 47 [size =\"37528576\"]\n  24 -> 49 [size =\"37528576\"]\n  24 -> 50 [size =\"37528576\"]\n  25 [size=\"36577280\", alpha=\"0.08\", expect_size=\"14630912\"] \n  25 -> 36 [size =\"14630912\"]\n  25 -> 42 [size =\"14630912\"]\n  25 -> 49 [size =\"14630912\"]\n  25 -> 50 [size =\"14630912\"]\n  26 [size=\"34007040\", alpha=\"0.11\", expect_size=\"13602816\"] \n  26 -> 36 [size =\"13602816\"]\n  27 [size=\"109731840\", alpha=\"0.19\", expect_size=\"43892736\"] \n  27 -> 34 [size =\"43892736\"]\n  27 -> 36 [size =\"43892736\"]\n  27 -> 37 [size =\"43892736\"]\n  27 -> 38 [size =\"43892736\"]\n  27 -> 41 [size =\"43892736\"]\n  27 -> 43 [size =\"43892736\"]\n  27 -> 44 [size =\"43892736\"]\n  27 -> 46 [size =\"43892736\"]\n  28 [size=\"71964160\", alpha=\"0.18\", expect_size=\"28785664\"] \n  28 -> 32 [size =\"28785664\"]\n  28 -> 35 [size =\"28785664\"]\n  28 -> 38 [size =\"28785664\"]\n  28 -> 41 [size =\"28785664\"]\n  28 -> 41 [size =\"28785664\"]\n  28 -> 42 [size =\"28785664\"]\n  28 -> 44 [size =\"28785664\"]\n  28 -> 46 [size =\"28785664\"]\n  28 -> 49 [size =\"28785664\"]\n  29 [size=\"15165440\", alpha=\"0.08\", expect_size=\"6066176\"] \n  29 -> 41 [size =\"6066176\"]\n  29 -> 47 [size =\"6066176\"]\n  29 -> 48 [size =\"6066176\"]\n  29 -> 49 [size =\"6066176\"]\n  30 [size=\"63961600\", alpha=\"0.00\", expect_size=\"25584640\"] \n  30 -> 32 [size =\"25584640\"]\n  30 -> 37 [size =\"25584640\"]\n  30 -> 41 [size =\"25584640\"]\n  30 -> 48 [size =\"25584640\"]\n  30 -> 50 [size =\"25584640\"]\n  31 [size=\"17185280\", alpha=\"0.14\", expect_size=\"6874112\"] \n  31 -> 32 [size =\"6874112\"]\n  31 -> 35 [size =\"6874112\"]\n  31 -> 37 [size =\"6874112\"]\n  31 -> 38 [size =\"6874112\"]\n  31 -> 41 [size =\"6874112\"]\n  31 -> 46 [size =\"6874112\"]\n  31 -> 48 [size =\"6874112\"]\n  31 -> 49 [size =\"6874112\"]\n  32 [size=\"24504320\", alpha=\"0.08\", expect_size=\"9801728\"] \n  33 [size=\"130140160\", alpha=\"0.19\", expect_size=\"52056064\"] \n  34 [size=\"120591360\", alpha=\"0.19\", expect_size=\"48236544\"] \n  35 [size=\"39800320\", alpha=\"0.07\", expect_size=\"15920128\"] \n  36 [size=\"89461760\", alpha=\"0.09\", expect_size=\"35784704\"] \n  37 [size=\"37048320\", alpha=\"0.10\", expect_size=\"14819328\"] \n  38 [size=\"33661440\", alpha=\"0.14\", expect_size=\"13464576\"] \n  39 [size=\"19028480\", alpha=\"0.04\", expect_size=\"7611392\"] \n  40 [size=\"65011200\", alpha=\"0.13\", expect_size=\"26004480\"] \n  41 [size=\"67809280\", alpha=\"0.00\", expect_size=\"27123712\"] \n  42 [size=\"29772800\", alpha=\"0.04\", expect_size=\"11909120\"] \n  43 [size=\"77852160\", alpha=\"0.19\", expect_size=\"31140864\"] \n  44 [size=\"73374720\", alpha=\"0.08\", expect_size=\"29349888\"] \n  45 [size=\"70100480\", alpha=\"0.01\", expect_size=\"28040192\"] \n  46 [size=\"112837120\", alpha=\"0.17\", expect_size=\"45134848\"] \n  47 [size=\"49205760\", alpha=\"0.10\", expect_size=\"19682304\"] \n  48 [size=\"109260800\", alpha=\"0.13\", expect_size=\"43704320\"] \n  49 [size=\"73576960\", alpha=\"0.16\", expect_size=\"29430784\"] \n  50 [size=\"99486720\", alpha=\"0.08\", expect_size=\"39794688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.608.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66501973\", alpha=\"0.07\", expect_size=\"19950592\"] \n  1 -> 10 [size =\"19950592\"]\n  1 -> 11 [size =\"19950592\"]\n  1 -> 14 [size =\"19950592\"]\n  1 -> 15 [size =\"19950592\"]\n  1 -> 16 [size =\"19950592\"]\n  1 -> 17 [size =\"19950592\"]\n  1 -> 18 [size =\"19950592\"]\n  1 -> 21 [size =\"19950592\"]\n  1 -> 23 [size =\"19950592\"]\n  1 -> 25 [size =\"19950592\"]\n  2 [size=\"63948800\", alpha=\"0.13\", expect_size=\"19184640\"] \n  2 -> 11 [size =\"19184640\"]\n  2 -> 13 [size =\"19184640\"]\n  2 -> 16 [size =\"19184640\"]\n  2 -> 17 [size =\"19184640\"]\n  2 -> 19 [size =\"19184640\"]\n  2 -> 20 [size =\"19184640\"]\n  2 -> 22 [size =\"19184640\"]\n  2 -> 25 [size =\"19184640\"]\n  2 -> 26 [size =\"19184640\"]\n  3 [size=\"125962240\", alpha=\"0.00\", expect_size=\"37788672\"] \n  3 -> 11 [size =\"37788672\"]\n  3 -> 12 [size =\"37788672\"]\n  3 -> 13 [size =\"37788672\"]\n  3 -> 17 [size =\"37788672\"]\n  3 -> 18 [size =\"37788672\"]\n  3 -> 19 [size =\"37788672\"]\n  3 -> 20 [size =\"37788672\"]\n  3 -> 21 [size =\"37788672\"]\n  3 -> 22 [size =\"37788672\"]\n  3 -> 23 [size =\"37788672\"]\n  3 -> 25 [size =\"37788672\"]\n  3 -> 26 [size =\"37788672\"]\n  4 [size=\"46615893\", alpha=\"0.14\", expect_size=\"13984768\"] \n  4 -> 14 [size =\"13984768\"]\n  4 -> 17 [size =\"13984768\"]\n  4 -> 18 [size =\"13984768\"]\n  4 -> 20 [size =\"13984768\"]\n  4 -> 21 [size =\"13984768\"]\n  4 -> 24 [size =\"13984768\"]\n  4 -> 26 [size =\"13984768\"]\n  5 [size=\"25081173\", alpha=\"0.01\", expect_size=\"7524352\"] \n  5 -> 17 [size =\"7524352\"]\n  5 -> 25 [size =\"7524352\"]\n  6 [size=\"82769920\", alpha=\"0.02\", expect_size=\"24830976\"] \n  6 -> 13 [size =\"24830976\"]\n  6 -> 19 [size =\"24830976\"]\n  6 -> 21 [size =\"24830976\"]\n  6 -> 22 [size =\"24830976\"]\n  6 -> 25 [size =\"24830976\"]\n  7 [size=\"130583893\", alpha=\"0.03\", expect_size=\"39175168\"] \n  7 -> 13 [size =\"39175168\"]\n  7 -> 15 [size =\"39175168\"]\n  7 -> 16 [size =\"39175168\"]\n  7 -> 17 [size =\"39175168\"]\n  7 -> 22 [size =\"39175168\"]\n  7 -> 24 [size =\"39175168\"]\n  8 [size=\"98389333\", alpha=\"0.15\", expect_size=\"29516800\"] \n  8 -> 15 [size =\"29516800\"]\n  8 -> 26 [size =\"29516800\"]\n  8 -> 27 [size =\"29516800\"]\n  9 [size=\"53838507\", alpha=\"0.18\", expect_size=\"16151552\"] \n  9 -> 13 [size =\"16151552\"]\n  9 -> 20 [size =\"16151552\"]\n  9 -> 21 [size =\"16151552\"]\n  9 -> 24 [size =\"16151552\"]\n  10 [size=\"167604907\", alpha=\"0.18\", expect_size=\"50281472\"] \n  10 -> 29 [size =\"50281472\"]\n  10 -> 30 [size =\"50281472\"]\n  10 -> 35 [size =\"50281472\"]\n  10 -> 36 [size =\"50281472\"]\n  10 -> 38 [size =\"50281472\"]\n  11 [size=\"155190613\", alpha=\"0.20\", expect_size=\"46557184\"] \n  11 -> 31 [size =\"46557184\"]\n  11 -> 35 [size =\"46557184\"]\n  11 -> 36 [size =\"46557184\"]\n  11 -> 37 [size =\"46557184\"]\n  11 -> 38 [size =\"46557184\"]\n  12 [size=\"50534400\", alpha=\"0.00\", expect_size=\"15160320\"] \n  12 -> 30 [size =\"15160320\"]\n  12 -> 33 [size =\"15160320\"]\n  12 -> 36 [size =\"15160320\"]\n  13 [size=\"152108373\", alpha=\"0.04\", expect_size=\"45632512\"] \n  13 -> 31 [size =\"45632512\"]\n  13 -> 33 [size =\"45632512\"]\n  14 [size=\"155648000\", alpha=\"0.02\", expect_size=\"46694400\"] \n  14 -> 31 [size =\"46694400\"]\n  15 [size=\"106181973\", alpha=\"0.03\", expect_size=\"31854592\"] \n  15 -> 30 [size =\"31854592\"]\n  15 -> 33 [size =\"31854592\"]\n  15 -> 35 [size =\"31854592\"]\n  15 -> 36 [size =\"31854592\"]\n  15 -> 37 [size =\"31854592\"]\n  15 -> 40 [size =\"31854592\"]\n  16 [size=\"115350187\", alpha=\"0.05\", expect_size=\"34605056\"] \n  16 -> 31 [size =\"34605056\"]\n  16 -> 32 [size =\"34605056\"]\n  16 -> 33 [size =\"34605056\"]\n  16 -> 36 [size =\"34605056\"]\n  17 [size=\"128965973\", alpha=\"0.01\", expect_size=\"38689792\"] \n  17 -> 29 [size =\"38689792\"]\n  17 -> 32 [size =\"38689792\"]\n  17 -> 36 [size =\"38689792\"]\n  17 -> 36 [size =\"38689792\"]\n  17 -> 38 [size =\"38689792\"]\n  17 -> 39 [size =\"38689792\"]\n  18 [size=\"151306240\", alpha=\"0.06\", expect_size=\"45391872\"] \n  18 -> 30 [size =\"45391872\"]\n  18 -> 31 [size =\"45391872\"]\n  19 [size=\"112165547\", alpha=\"0.14\", expect_size=\"33649664\"] \n  19 -> 30 [size =\"33649664\"]\n  19 -> 34 [size =\"33649664\"]\n  19 -> 35 [size =\"33649664\"]\n  19 -> 37 [size =\"33649664\"]\n  20 [size=\"97508693\", alpha=\"0.10\", expect_size=\"29252608\"] \n  20 -> 30 [size =\"29252608\"]\n  20 -> 36 [size =\"29252608\"]\n  20 -> 37 [size =\"29252608\"]\n  21 [size=\"84060160\", alpha=\"0.12\", expect_size=\"25218048\"] \n  21 -> 33 [size =\"25218048\"]\n  21 -> 35 [size =\"25218048\"]\n  21 -> 36 [size =\"25218048\"]\n  21 -> 38 [size =\"25218048\"]\n  22 [size=\"81428480\", alpha=\"0.19\", expect_size=\"24428544\"] \n  22 -> 31 [size =\"24428544\"]\n  22 -> 40 [size =\"24428544\"]\n  23 [size=\"85125120\", alpha=\"0.01\", expect_size=\"25537536\"] \n  23 -> 29 [size =\"25537536\"]\n  23 -> 32 [size =\"25537536\"]\n  23 -> 33 [size =\"25537536\"]\n  23 -> 34 [size =\"25537536\"]\n  23 -> 35 [size =\"25537536\"]\n  23 -> 38 [size =\"25537536\"]\n  24 [size=\"119197013\", alpha=\"0.06\", expect_size=\"35759104\"] \n  24 -> 30 [size =\"35759104\"]\n  24 -> 34 [size =\"35759104\"]\n  24 -> 35 [size =\"35759104\"]\n  24 -> 39 [size =\"35759104\"]\n  25 [size=\"133632000\", alpha=\"0.12\", expect_size=\"40089600\"] \n  25 -> 28 [size =\"40089600\"]\n  25 -> 34 [size =\"40089600\"]\n  25 -> 38 [size =\"40089600\"]\n  26 [size=\"154525013\", alpha=\"0.06\", expect_size=\"46357504\"] \n  26 -> 33 [size =\"46357504\"]\n  26 -> 35 [size =\"46357504\"]\n  26 -> 38 [size =\"46357504\"]\n  27 [size=\"39406933\", alpha=\"0.15\", expect_size=\"11822080\"] \n  27 -> 33 [size =\"11822080\"]\n  27 -> 34 [size =\"11822080\"]\n  27 -> 35 [size =\"11822080\"]\n  27 -> 36 [size =\"11822080\"]\n  27 -> 37 [size =\"11822080\"]\n  27 -> 38 [size =\"11822080\"]\n  27 -> 40 [size =\"11822080\"]\n  28 [size=\"47680853\", alpha=\"0.14\", expect_size=\"14304256\"] \n  28 -> 43 [size =\"14304256\"]\n  28 -> 44 [size =\"14304256\"]\n  28 -> 46 [size =\"14304256\"]\n  29 [size=\"98416640\", alpha=\"0.18\", expect_size=\"29524992\"] \n  29 -> 44 [size =\"29524992\"]\n  29 -> 46 [size =\"29524992\"]\n  30 [size=\"55142400\", alpha=\"0.00\", expect_size=\"16542720\"] \n  31 [size=\"133348693\", alpha=\"0.01\", expect_size=\"40004608\"] \n  31 -> 41 [size =\"40004608\"]\n  31 -> 42 [size =\"40004608\"]\n  31 -> 43 [size =\"40004608\"]\n  31 -> 44 [size =\"40004608\"]\n  31 -> 47 [size =\"40004608\"]\n  32 [size=\"67488427\", alpha=\"0.05\", expect_size=\"20246528\"] \n  32 -> 43 [size =\"20246528\"]\n  32 -> 44 [size =\"20246528\"]\n  32 -> 46 [size =\"20246528\"]\n  32 -> 47 [size =\"20246528\"]\n  33 [size=\"61320533\", alpha=\"0.07\", expect_size=\"18396160\"] \n  33 -> 41 [size =\"18396160\"]\n  33 -> 46 [size =\"18396160\"]\n  33 -> 46 [size =\"18396160\"]\n  33 -> 47 [size =\"18396160\"]\n  34 [size=\"66051413\", alpha=\"0.06\", expect_size=\"19815424\"] \n  34 -> 41 [size =\"19815424\"]\n  34 -> 43 [size =\"19815424\"]\n  35 [size=\"110817280\", alpha=\"0.16\", expect_size=\"33245184\"] \n  35 -> 41 [size =\"33245184\"]\n  35 -> 42 [size =\"33245184\"]\n  35 -> 43 [size =\"33245184\"]\n  36 [size=\"45943467\", alpha=\"0.19\", expect_size=\"13783040\"] \n  36 -> 41 [size =\"13783040\"]\n  36 -> 42 [size =\"13783040\"]\n  37 [size=\"94010027\", alpha=\"0.16\", expect_size=\"28203008\"] \n  37 -> 42 [size =\"28203008\"]\n  37 -> 45 [size =\"28203008\"]\n  37 -> 46 [size =\"28203008\"]\n  38 [size=\"53548373\", alpha=\"0.10\", expect_size=\"16064512\"] \n  38 -> 41 [size =\"16064512\"]\n  38 -> 44 [size =\"16064512\"]\n  38 -> 47 [size =\"16064512\"]\n  39 [size=\"162764800\", alpha=\"0.16\", expect_size=\"48829440\"] \n  39 -> 41 [size =\"48829440\"]\n  39 -> 46 [size =\"48829440\"]\n  39 -> 47 [size =\"48829440\"]\n  40 [size=\"143445333\", alpha=\"0.13\", expect_size=\"43033600\"] \n  40 -> 47 [size =\"43033600\"]\n  41 [size=\"145728853\", alpha=\"0.17\", expect_size=\"43718656\"] \n  41 -> 50 [size =\"43718656\"]\n  42 [size=\"150036480\", alpha=\"0.10\", expect_size=\"45010944\"] \n  42 -> 48 [size =\"45010944\"]\n  42 -> 49 [size =\"45010944\"]\n  42 -> 50 [size =\"45010944\"]\n  43 [size=\"32146773\", alpha=\"0.12\", expect_size=\"9644032\"] \n  43 -> 48 [size =\"9644032\"]\n  43 -> 50 [size =\"9644032\"]\n  44 [size=\"83981653\", alpha=\"0.06\", expect_size=\"25194496\"] \n  45 [size=\"129133227\", alpha=\"0.15\", expect_size=\"38739968\"] \n  46 [size=\"99031040\", alpha=\"0.02\", expect_size=\"29709312\"] \n  46 -> 49 [size =\"29709312\"]\n  47 [size=\"91542187\", alpha=\"0.11\", expect_size=\"27462656\"] \n  48 [size=\"60873387\", alpha=\"0.05\", expect_size=\"18262016\"] \n  49 [size=\"140858027\", alpha=\"0.08\", expect_size=\"42257408\"] \n  50 [size=\"111616000\", alpha=\"0.16\", expect_size=\"33484800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.609.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84241067\", alpha=\"0.14\", expect_size=\"25272320\"] \n  1 -> 10 [size =\"25272320\"]\n  1 -> 13 [size =\"25272320\"]\n  1 -> 14 [size =\"25272320\"]\n  1 -> 15 [size =\"25272320\"]\n  2 [size=\"122019840\", alpha=\"0.10\", expect_size=\"36605952\"] \n  2 -> 12 [size =\"36605952\"]\n  3 [size=\"37331627\", alpha=\"0.06\", expect_size=\"11199488\"] \n  4 [size=\"103867733\", alpha=\"0.19\", expect_size=\"31160320\"] \n  4 -> 9 [size =\"31160320\"]\n  4 -> 11 [size =\"31160320\"]\n  5 [size=\"156364800\", alpha=\"0.05\", expect_size=\"46909440\"] \n  5 -> 9 [size =\"46909440\"]\n  5 -> 10 [size =\"46909440\"]\n  5 -> 15 [size =\"46909440\"]\n  6 [size=\"173810347\", alpha=\"0.05\", expect_size=\"52143104\"] \n  6 -> 15 [size =\"52143104\"]\n  7 [size=\"112363520\", alpha=\"0.13\", expect_size=\"33709056\"] \n  7 -> 9 [size =\"33709056\"]\n  8 [size=\"165324800\", alpha=\"0.03\", expect_size=\"49597440\"] \n  8 -> 12 [size =\"49597440\"]\n  8 -> 14 [size =\"49597440\"]\n  9 [size=\"145476267\", alpha=\"0.12\", expect_size=\"43642880\"] \n  9 -> 18 [size =\"43642880\"]\n  9 -> 21 [size =\"43642880\"]\n  10 [size=\"90374827\", alpha=\"0.07\", expect_size=\"27112448\"] \n  10 -> 21 [size =\"27112448\"]\n  11 [size=\"57811627\", alpha=\"0.06\", expect_size=\"17343488\"] \n  11 -> 16 [size =\"17343488\"]\n  11 -> 17 [size =\"17343488\"]\n  11 -> 18 [size =\"17343488\"]\n  11 -> 19 [size =\"17343488\"]\n  12 [size=\"169844053\", alpha=\"0.06\", expect_size=\"50953216\"] \n  12 -> 16 [size =\"50953216\"]\n  12 -> 18 [size =\"50953216\"]\n  12 -> 19 [size =\"50953216\"]\n  12 -> 19 [size =\"50953216\"]\n  12 -> 20 [size =\"50953216\"]\n  13 [size=\"91043840\", alpha=\"0.19\", expect_size=\"27313152\"] \n  13 -> 16 [size =\"27313152\"]\n  13 -> 17 [size =\"27313152\"]\n  13 -> 21 [size =\"27313152\"]\n  14 [size=\"137970347\", alpha=\"0.11\", expect_size=\"41391104\"] \n  14 -> 16 [size =\"41391104\"]\n  14 -> 17 [size =\"41391104\"]\n  14 -> 19 [size =\"41391104\"]\n  15 [size=\"127307093\", alpha=\"0.12\", expect_size=\"38192128\"] \n  15 -> 16 [size =\"38192128\"]\n  15 -> 18 [size =\"38192128\"]\n  16 [size=\"166526293\", alpha=\"0.11\", expect_size=\"49957888\"] \n  16 -> 24 [size =\"49957888\"]\n  16 -> 27 [size =\"49957888\"]\n  17 [size=\"48599040\", alpha=\"0.20\", expect_size=\"14579712\"] \n  17 -> 24 [size =\"14579712\"]\n  17 -> 28 [size =\"14579712\"]\n  18 [size=\"153743360\", alpha=\"0.07\", expect_size=\"46123008\"] \n  18 -> 25 [size =\"46123008\"]\n  18 -> 26 [size =\"46123008\"]\n  18 -> 27 [size =\"46123008\"]\n  19 [size=\"18933760\", alpha=\"0.05\", expect_size=\"5680128\"] \n  19 -> 22 [size =\"5680128\"]\n  19 -> 25 [size =\"5680128\"]\n  19 -> 26 [size =\"5680128\"]\n  20 [size=\"116319573\", alpha=\"0.09\", expect_size=\"34895872\"] \n  20 -> 23 [size =\"34895872\"]\n  20 -> 24 [size =\"34895872\"]\n  20 -> 25 [size =\"34895872\"]\n  21 [size=\"17780053\", alpha=\"0.02\", expect_size=\"5334016\"] \n  21 -> 24 [size =\"5334016\"]\n  21 -> 27 [size =\"5334016\"]\n  22 [size=\"61958827\", alpha=\"0.07\", expect_size=\"18587648\"] \n  23 [size=\"108404053\", alpha=\"0.16\", expect_size=\"32521216\"] \n  23 -> 31 [size =\"32521216\"]\n  23 -> 33 [size =\"32521216\"]\n  23 -> 34 [size =\"32521216\"]\n  24 [size=\"102823253\", alpha=\"0.15\", expect_size=\"30846976\"] \n  24 -> 30 [size =\"30846976\"]\n  25 [size=\"30791680\", alpha=\"0.12\", expect_size=\"9237504\"] \n  25 -> 29 [size =\"9237504\"]\n  25 -> 31 [size =\"9237504\"]\n  25 -> 32 [size =\"9237504\"]\n  26 [size=\"125528747\", alpha=\"0.08\", expect_size=\"37658624\"] \n  26 -> 32 [size =\"37658624\"]\n  26 -> 33 [size =\"37658624\"]\n  27 [size=\"56934400\", alpha=\"0.17\", expect_size=\"17080320\"] \n  27 -> 33 [size =\"17080320\"]\n  27 -> 34 [size =\"17080320\"]\n  28 [size=\"56586240\", alpha=\"0.05\", expect_size=\"16975872\"] \n  28 -> 29 [size =\"16975872\"]\n  28 -> 32 [size =\"16975872\"]\n  28 -> 33 [size =\"16975872\"]\n  28 -> 34 [size =\"16975872\"]\n  29 [size=\"112626347\", alpha=\"0.09\", expect_size=\"33787904\"] \n  29 -> 38 [size =\"33787904\"]\n  29 -> 39 [size =\"33787904\"]\n  30 [size=\"154146133\", alpha=\"0.02\", expect_size=\"46243840\"] \n  30 -> 39 [size =\"46243840\"]\n  30 -> 39 [size =\"46243840\"]\n  30 -> 42 [size =\"46243840\"]\n  31 [size=\"69294080\", alpha=\"0.00\", expect_size=\"20788224\"] \n  31 -> 35 [size =\"20788224\"]\n  31 -> 36 [size =\"20788224\"]\n  31 -> 37 [size =\"20788224\"]\n  31 -> 39 [size =\"20788224\"]\n  31 -> 40 [size =\"20788224\"]\n  31 -> 41 [size =\"20788224\"]\n  31 -> 42 [size =\"20788224\"]\n  32 [size=\"82121387\", alpha=\"0.18\", expect_size=\"24636416\"] \n  32 -> 38 [size =\"24636416\"]\n  32 -> 41 [size =\"24636416\"]\n  32 -> 42 [size =\"24636416\"]\n  33 [size=\"139892053\", alpha=\"0.05\", expect_size=\"41967616\"] \n  33 -> 38 [size =\"41967616\"]\n  33 -> 41 [size =\"41967616\"]\n  33 -> 42 [size =\"41967616\"]\n  34 [size=\"105171627\", alpha=\"0.07\", expect_size=\"31551488\"] \n  34 -> 37 [size =\"31551488\"]\n  34 -> 38 [size =\"31551488\"]\n  34 -> 41 [size =\"31551488\"]\n  35 [size=\"64358400\", alpha=\"0.04\", expect_size=\"19307520\"] \n  35 -> 43 [size =\"19307520\"]\n  35 -> 48 [size =\"19307520\"]\n  35 -> 49 [size =\"19307520\"]\n  35 -> 50 [size =\"19307520\"]\n  36 [size=\"156340907\", alpha=\"0.19\", expect_size=\"46902272\"] \n  36 -> 46 [size =\"46902272\"]\n  36 -> 49 [size =\"46902272\"]\n  36 -> 50 [size =\"46902272\"]\n  36 -> 50 [size =\"46902272\"]\n  37 [size=\"65597440\", alpha=\"0.18\", expect_size=\"19679232\"] \n  37 -> 44 [size =\"19679232\"]\n  37 -> 46 [size =\"19679232\"]\n  37 -> 50 [size =\"19679232\"]\n  38 [size=\"44298240\", alpha=\"0.15\", expect_size=\"13289472\"] \n  38 -> 43 [size =\"13289472\"]\n  38 -> 44 [size =\"13289472\"]\n  38 -> 45 [size =\"13289472\"]\n  38 -> 49 [size =\"13289472\"]\n  39 [size=\"83008853\", alpha=\"0.12\", expect_size=\"24902656\"] \n  39 -> 43 [size =\"24902656\"]\n  39 -> 44 [size =\"24902656\"]\n  39 -> 45 [size =\"24902656\"]\n  39 -> 48 [size =\"24902656\"]\n  40 [size=\"152446293\", alpha=\"0.01\", expect_size=\"45733888\"] \n  40 -> 43 [size =\"45733888\"]\n  40 -> 44 [size =\"45733888\"]\n  40 -> 45 [size =\"45733888\"]\n  40 -> 46 [size =\"45733888\"]\n  40 -> 47 [size =\"45733888\"]\n  40 -> 48 [size =\"45733888\"]\n  41 [size=\"168226133\", alpha=\"0.10\", expect_size=\"50467840\"] \n  41 -> 43 [size =\"50467840\"]\n  41 -> 45 [size =\"50467840\"]\n  41 -> 48 [size =\"50467840\"]\n  41 -> 49 [size =\"50467840\"]\n  42 [size=\"170680320\", alpha=\"0.05\", expect_size=\"51204096\"] \n  42 -> 45 [size =\"51204096\"]\n  42 -> 47 [size =\"51204096\"]\n  42 -> 48 [size =\"51204096\"]\n  42 -> 50 [size =\"51204096\"]\n  43 [size=\"154893653\", alpha=\"0.12\", expect_size=\"46468096\"] \n  44 [size=\"37150720\", alpha=\"0.09\", expect_size=\"11145216\"] \n  45 [size=\"95232000\", alpha=\"0.08\", expect_size=\"28569600\"] \n  46 [size=\"124395520\", alpha=\"0.01\", expect_size=\"37318656\"] \n  47 [size=\"116408320\", alpha=\"0.19\", expect_size=\"34922496\"] \n  48 [size=\"102400000\", alpha=\"0.02\", expect_size=\"30720000\"] \n  49 [size=\"61347840\", alpha=\"0.17\", expect_size=\"18404352\"] \n  50 [size=\"151999147\", alpha=\"0.09\", expect_size=\"45599744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96873813\", alpha=\"0.00\", expect_size=\"29062144\"] \n  2 [size=\"61361493\", alpha=\"0.10\", expect_size=\"18408448\"] \n  3 [size=\"96945493\", alpha=\"0.08\", expect_size=\"29083648\"] \n  3 -> 6 [size =\"29083648\"]\n  3 -> 7 [size =\"29083648\"]\n  3 -> 9 [size =\"29083648\"]\n  3 -> 10 [size =\"29083648\"]\n  4 [size=\"159573333\", alpha=\"0.18\", expect_size=\"47872000\"] \n  4 -> 8 [size =\"47872000\"]\n  5 [size=\"65116160\", alpha=\"0.10\", expect_size=\"19534848\"] \n  5 -> 7 [size =\"19534848\"]\n  6 [size=\"54272000\", alpha=\"0.14\", expect_size=\"16281600\"] \n  6 -> 11 [size =\"16281600\"]\n  7 [size=\"36710400\", alpha=\"0.19\", expect_size=\"11013120\"] \n  7 -> 12 [size =\"11013120\"]\n  7 -> 13 [size =\"11013120\"]\n  8 [size=\"41844053\", alpha=\"0.00\", expect_size=\"12553216\"] \n  8 -> 11 [size =\"12553216\"]\n  9 [size=\"41997653\", alpha=\"0.02\", expect_size=\"12599296\"] \n  9 -> 12 [size =\"12599296\"]\n  9 -> 14 [size =\"12599296\"]\n  10 [size=\"91648000\", alpha=\"0.14\", expect_size=\"27494400\"] \n  10 -> 11 [size =\"27494400\"]\n  11 [size=\"53527893\", alpha=\"0.20\", expect_size=\"16058368\"] \n  12 [size=\"55231147\", alpha=\"0.13\", expect_size=\"16569344\"] \n  12 -> 16 [size =\"16569344\"]\n  12 -> 17 [size =\"16569344\"]\n  13 [size=\"130297173\", alpha=\"0.16\", expect_size=\"39089152\"] \n  13 -> 15 [size =\"39089152\"]\n  13 -> 17 [size =\"39089152\"]\n  13 -> 18 [size =\"39089152\"]\n  14 [size=\"33099093\", alpha=\"0.14\", expect_size=\"9929728\"] \n  14 -> 16 [size =\"9929728\"]\n  14 -> 18 [size =\"9929728\"]\n  14 -> 19 [size =\"9929728\"]\n  15 [size=\"172120747\", alpha=\"0.12\", expect_size=\"51636224\"] \n  15 -> 20 [size =\"51636224\"]\n  15 -> 24 [size =\"51636224\"]\n  16 [size=\"93440000\", alpha=\"0.09\", expect_size=\"28032000\"] \n  16 -> 23 [size =\"28032000\"]\n  17 [size=\"42441387\", alpha=\"0.10\", expect_size=\"12732416\"] \n  17 -> 21 [size =\"12732416\"]\n  17 -> 22 [size =\"12732416\"]\n  17 -> 24 [size =\"12732416\"]\n  18 [size=\"30665387\", alpha=\"0.14\", expect_size=\"9199616\"] \n  18 -> 22 [size =\"9199616\"]\n  18 -> 24 [size =\"9199616\"]\n  19 [size=\"30679040\", alpha=\"0.19\", expect_size=\"9203712\"] \n  19 -> 21 [size =\"9203712\"]\n  20 [size=\"42909013\", alpha=\"0.08\", expect_size=\"12872704\"] \n  20 -> 25 [size =\"12872704\"]\n  20 -> 26 [size =\"12872704\"]\n  20 -> 29 [size =\"12872704\"]\n  20 -> 30 [size =\"12872704\"]\n  21 [size=\"154897067\", alpha=\"0.06\", expect_size=\"46469120\"] \n  21 -> 27 [size =\"46469120\"]\n  21 -> 28 [size =\"46469120\"]\n  21 -> 29 [size =\"46469120\"]\n  21 -> 30 [size =\"46469120\"]\n  22 [size=\"154429440\", alpha=\"0.11\", expect_size=\"46328832\"] \n  22 -> 28 [size =\"46328832\"]\n  23 [size=\"103154347\", alpha=\"0.05\", expect_size=\"30946304\"] \n  24 [size=\"70372693\", alpha=\"0.18\", expect_size=\"21111808\"] \n  24 -> 28 [size =\"21111808\"]\n  24 -> 29 [size =\"21111808\"]\n  25 [size=\"25146027\", alpha=\"0.16\", expect_size=\"7543808\"] \n  25 -> 32 [size =\"7543808\"]\n  25 -> 34 [size =\"7543808\"]\n  26 [size=\"119705600\", alpha=\"0.20\", expect_size=\"35911680\"] \n  26 -> 31 [size =\"35911680\"]\n  26 -> 32 [size =\"35911680\"]\n  26 -> 35 [size =\"35911680\"]\n  27 [size=\"33153707\", alpha=\"0.05\", expect_size=\"9946112\"] \n  27 -> 31 [size =\"9946112\"]\n  27 -> 34 [size =\"9946112\"]\n  28 [size=\"112762880\", alpha=\"0.14\", expect_size=\"33828864\"] \n  28 -> 31 [size =\"33828864\"]\n  28 -> 33 [size =\"33828864\"]\n  28 -> 34 [size =\"33828864\"]\n  28 -> 35 [size =\"33828864\"]\n  29 [size=\"65389227\", alpha=\"0.06\", expect_size=\"19616768\"] \n  29 -> 32 [size =\"19616768\"]\n  29 -> 33 [size =\"19616768\"]\n  29 -> 35 [size =\"19616768\"]\n  30 [size=\"57391787\", alpha=\"0.07\", expect_size=\"17217536\"] \n  30 -> 33 [size =\"17217536\"]\n  31 [size=\"117626880\", alpha=\"0.13\", expect_size=\"35288064\"] \n  31 -> 39 [size =\"35288064\"]\n  31 -> 42 [size =\"35288064\"]\n  32 [size=\"168198827\", alpha=\"0.04\", expect_size=\"50459648\"] \n  32 -> 38 [size =\"50459648\"]\n  32 -> 40 [size =\"50459648\"]\n  32 -> 42 [size =\"50459648\"]\n  33 [size=\"95709867\", alpha=\"0.09\", expect_size=\"28712960\"] \n  33 -> 36 [size =\"28712960\"]\n  33 -> 37 [size =\"28712960\"]\n  33 -> 40 [size =\"28712960\"]\n  33 -> 41 [size =\"28712960\"]\n  34 [size=\"136922453\", alpha=\"0.16\", expect_size=\"41076736\"] \n  34 -> 36 [size =\"41076736\"]\n  34 -> 39 [size =\"41076736\"]\n  34 -> 41 [size =\"41076736\"]\n  35 [size=\"119357440\", alpha=\"0.03\", expect_size=\"35807232\"] \n  35 -> 42 [size =\"35807232\"]\n  36 [size=\"90664960\", alpha=\"0.19\", expect_size=\"27199488\"] \n  36 -> 46 [size =\"27199488\"]\n  37 [size=\"87633920\", alpha=\"0.19\", expect_size=\"26290176\"] \n  37 -> 45 [size =\"26290176\"]\n  37 -> 48 [size =\"26290176\"]\n  38 [size=\"129505280\", alpha=\"0.00\", expect_size=\"38851584\"] \n  38 -> 43 [size =\"38851584\"]\n  38 -> 44 [size =\"38851584\"]\n  38 -> 48 [size =\"38851584\"]\n  38 -> 50 [size =\"38851584\"]\n  39 [size=\"83360427\", alpha=\"0.03\", expect_size=\"25008128\"] \n  39 -> 47 [size =\"25008128\"]\n  39 -> 48 [size =\"25008128\"]\n  39 -> 49 [size =\"25008128\"]\n  40 [size=\"131007147\", alpha=\"0.09\", expect_size=\"39302144\"] \n  41 [size=\"32044373\", alpha=\"0.13\", expect_size=\"9613312\"] \n  41 -> 44 [size =\"9613312\"]\n  41 -> 49 [size =\"9613312\"]\n  42 [size=\"137099947\", alpha=\"0.14\", expect_size=\"41129984\"] \n  42 -> 46 [size =\"41129984\"]\n  42 -> 48 [size =\"41129984\"]\n  42 -> 49 [size =\"41129984\"]\n  43 [size=\"169359360\", alpha=\"0.06\", expect_size=\"50807808\"] \n  44 [size=\"84353707\", alpha=\"0.05\", expect_size=\"25306112\"] \n  45 [size=\"54999040\", alpha=\"0.04\", expect_size=\"16499712\"] \n  46 [size=\"78650027\", alpha=\"0.17\", expect_size=\"23595008\"] \n  47 [size=\"73984000\", alpha=\"0.12\", expect_size=\"22195200\"] \n  48 [size=\"65972907\", alpha=\"0.18\", expect_size=\"19791872\"] \n  49 [size=\"67805867\", alpha=\"0.11\", expect_size=\"20341760\"] \n  50 [size=\"92685653\", alpha=\"0.09\", expect_size=\"27805696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.610.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11499520\", alpha=\"0.13\", expect_size=\"5749760\"] \n  1 -> 10 [size =\"5749760\"]\n  1 -> 13 [size =\"5749760\"]\n  2 [size=\"88745984\", alpha=\"0.04\", expect_size=\"44372992\"] \n  3 [size=\"23883776\", alpha=\"0.08\", expect_size=\"11941888\"] \n  3 -> 8 [size =\"11941888\"]\n  3 -> 12 [size =\"11941888\"]\n  3 -> 13 [size =\"11941888\"]\n  4 [size=\"66512896\", alpha=\"0.14\", expect_size=\"33256448\"] \n  4 -> 11 [size =\"33256448\"]\n  4 -> 12 [size =\"33256448\"]\n  5 [size=\"75634688\", alpha=\"0.08\", expect_size=\"37817344\"] \n  5 -> 9 [size =\"37817344\"]\n  5 -> 13 [size =\"37817344\"]\n  6 [size=\"28071936\", alpha=\"0.11\", expect_size=\"14035968\"] \n  6 -> 13 [size =\"14035968\"]\n  7 [size=\"89055232\", alpha=\"0.02\", expect_size=\"44527616\"] \n  7 -> 9 [size =\"44527616\"]\n  7 -> 12 [size =\"44527616\"]\n  8 [size=\"101183488\", alpha=\"0.14\", expect_size=\"50591744\"] \n  8 -> 14 [size =\"50591744\"]\n  8 -> 16 [size =\"50591744\"]\n  9 [size=\"41738240\", alpha=\"0.19\", expect_size=\"20869120\"] \n  9 -> 15 [size =\"20869120\"]\n  9 -> 18 [size =\"20869120\"]\n  9 -> 19 [size =\"20869120\"]\n  10 [size=\"55945216\", alpha=\"0.19\", expect_size=\"27972608\"] \n  10 -> 15 [size =\"27972608\"]\n  10 -> 16 [size =\"27972608\"]\n  11 [size=\"103759872\", alpha=\"0.07\", expect_size=\"51879936\"] \n  11 -> 15 [size =\"51879936\"]\n  12 [size=\"72990720\", alpha=\"0.12\", expect_size=\"36495360\"] \n  12 -> 14 [size =\"36495360\"]\n  12 -> 16 [size =\"36495360\"]\n  12 -> 18 [size =\"36495360\"]\n  13 [size=\"93558784\", alpha=\"0.17\", expect_size=\"46779392\"] \n  13 -> 14 [size =\"46779392\"]\n  13 -> 17 [size =\"46779392\"]\n  13 -> 18 [size =\"46779392\"]\n  13 -> 19 [size =\"46779392\"]\n  14 [size=\"36745216\", alpha=\"0.03\", expect_size=\"18372608\"] \n  15 [size=\"101769216\", alpha=\"0.09\", expect_size=\"50884608\"] \n  15 -> 24 [size =\"50884608\"]\n  16 [size=\"43073536\", alpha=\"0.03\", expect_size=\"21536768\"] \n  16 -> 20 [size =\"21536768\"]\n  16 -> 21 [size =\"21536768\"]\n  16 -> 25 [size =\"21536768\"]\n  17 [size=\"93628416\", alpha=\"0.14\", expect_size=\"46814208\"] \n  17 -> 20 [size =\"46814208\"]\n  18 [size=\"102432768\", alpha=\"0.10\", expect_size=\"51216384\"] \n  18 -> 20 [size =\"51216384\"]\n  18 -> 23 [size =\"51216384\"]\n  19 [size=\"71960576\", alpha=\"0.09\", expect_size=\"35980288\"] \n  19 -> 22 [size =\"35980288\"]\n  20 [size=\"68091904\", alpha=\"0.01\", expect_size=\"34045952\"] \n  20 -> 27 [size =\"34045952\"]\n  21 [size=\"64745472\", alpha=\"0.13\", expect_size=\"32372736\"] \n  21 -> 26 [size =\"32372736\"]\n  21 -> 30 [size =\"32372736\"]\n  22 [size=\"96352256\", alpha=\"0.02\", expect_size=\"48176128\"] \n  22 -> 26 [size =\"48176128\"]\n  22 -> 28 [size =\"48176128\"]\n  22 -> 31 [size =\"48176128\"]\n  23 [size=\"60803072\", alpha=\"0.14\", expect_size=\"30401536\"] \n  23 -> 26 [size =\"30401536\"]\n  23 -> 31 [size =\"30401536\"]\n  24 [size=\"44324864\", alpha=\"0.18\", expect_size=\"22162432\"] \n  24 -> 31 [size =\"22162432\"]\n  25 [size=\"56203264\", alpha=\"0.15\", expect_size=\"28101632\"] \n  25 -> 27 [size =\"28101632\"]\n  25 -> 28 [size =\"28101632\"]\n  25 -> 29 [size =\"28101632\"]\n  26 [size=\"99848192\", alpha=\"0.16\", expect_size=\"49924096\"] \n  26 -> 34 [size =\"49924096\"]\n  26 -> 36 [size =\"49924096\"]\n  26 -> 37 [size =\"49924096\"]\n  27 [size=\"19367936\", alpha=\"0.14\", expect_size=\"9683968\"] \n  27 -> 32 [size =\"9683968\"]\n  27 -> 38 [size =\"9683968\"]\n  28 [size=\"83339264\", alpha=\"0.11\", expect_size=\"41669632\"] \n  28 -> 32 [size =\"41669632\"]\n  28 -> 33 [size =\"41669632\"]\n  28 -> 38 [size =\"41669632\"]\n  29 [size=\"37963776\", alpha=\"0.15\", expect_size=\"18981888\"] \n  29 -> 33 [size =\"18981888\"]\n  29 -> 34 [size =\"18981888\"]\n  29 -> 36 [size =\"18981888\"]\n  30 [size=\"79151104\", alpha=\"0.08\", expect_size=\"39575552\"] \n  30 -> 33 [size =\"39575552\"]\n  30 -> 35 [size =\"39575552\"]\n  31 [size=\"83224576\", alpha=\"0.01\", expect_size=\"41612288\"] \n  31 -> 32 [size =\"41612288\"]\n  31 -> 34 [size =\"41612288\"]\n  31 -> 35 [size =\"41612288\"]\n  32 [size=\"51195904\", alpha=\"0.07\", expect_size=\"25597952\"] \n  32 -> 40 [size =\"25597952\"]\n  33 [size=\"61325312\", alpha=\"0.11\", expect_size=\"30662656\"] \n  33 -> 40 [size =\"30662656\"]\n  33 -> 42 [size =\"30662656\"]\n  34 [size=\"32643072\", alpha=\"0.01\", expect_size=\"16321536\"] \n  34 -> 40 [size =\"16321536\"]\n  35 [size=\"21176320\", alpha=\"0.10\", expect_size=\"10588160\"] \n  35 -> 39 [size =\"10588160\"]\n  35 -> 40 [size =\"10588160\"]\n  36 [size=\"92076032\", alpha=\"0.06\", expect_size=\"46038016\"] \n  36 -> 39 [size =\"46038016\"]\n  36 -> 41 [size =\"46038016\"]\n  37 [size=\"74184704\", alpha=\"0.19\", expect_size=\"37092352\"] \n  37 -> 41 [size =\"37092352\"]\n  37 -> 43 [size =\"37092352\"]\n  38 [size=\"46071808\", alpha=\"0.12\", expect_size=\"23035904\"] \n  38 -> 39 [size =\"23035904\"]\n  38 -> 42 [size =\"23035904\"]\n  38 -> 44 [size =\"23035904\"]\n  39 [size=\"98437120\", alpha=\"0.18\", expect_size=\"49218560\"] \n  39 -> 47 [size =\"49218560\"]\n  40 [size=\"73791488\", alpha=\"0.16\", expect_size=\"36895744\"] \n  41 [size=\"17596416\", alpha=\"0.05\", expect_size=\"8798208\"] \n  41 -> 46 [size =\"8798208\"]\n  42 [size=\"23126016\", alpha=\"0.13\", expect_size=\"11563008\"] \n  42 -> 45 [size =\"11563008\"]\n  42 -> 47 [size =\"11563008\"]\n  42 -> 48 [size =\"11563008\"]\n  42 -> 50 [size =\"11563008\"]\n  43 [size=\"58513408\", alpha=\"0.12\", expect_size=\"29256704\"] \n  43 -> 45 [size =\"29256704\"]\n  43 -> 48 [size =\"29256704\"]\n  43 -> 50 [size =\"29256704\"]\n  44 [size=\"18089984\", alpha=\"0.17\", expect_size=\"9044992\"] \n  44 -> 48 [size =\"9044992\"]\n  44 -> 49 [size =\"9044992\"]\n  44 -> 50 [size =\"9044992\"]\n  45 [size=\"22487040\", alpha=\"0.13\", expect_size=\"11243520\"] \n  46 [size=\"68618240\", alpha=\"0.07\", expect_size=\"34309120\"] \n  47 [size=\"94699520\", alpha=\"0.03\", expect_size=\"47349760\"] \n  48 [size=\"89503744\", alpha=\"0.14\", expect_size=\"44751872\"] \n  49 [size=\"50604032\", alpha=\"0.12\", expect_size=\"25302016\"] \n  50 [size=\"39479296\", alpha=\"0.04\", expect_size=\"19739648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.611.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87403520\", alpha=\"0.04\", expect_size=\"34961408\"] \n  1 -> 7 [size =\"34961408\"]\n  1 -> 8 [size =\"34961408\"]\n  1 -> 10 [size =\"34961408\"]\n  1 -> 11 [size =\"34961408\"]\n  1 -> 12 [size =\"34961408\"]\n  2 [size=\"32271360\", alpha=\"0.07\", expect_size=\"12908544\"] \n  2 -> 8 [size =\"12908544\"]\n  2 -> 12 [size =\"12908544\"]\n  3 [size=\"88143360\", alpha=\"0.15\", expect_size=\"35257344\"] \n  3 -> 7 [size =\"35257344\"]\n  3 -> 8 [size =\"35257344\"]\n  3 -> 9 [size =\"35257344\"]\n  3 -> 10 [size =\"35257344\"]\n  3 -> 11 [size =\"35257344\"]\n  3 -> 12 [size =\"35257344\"]\n  4 [size=\"88005120\", alpha=\"0.11\", expect_size=\"35202048\"] \n  4 -> 7 [size =\"35202048\"]\n  4 -> 8 [size =\"35202048\"]\n  4 -> 9 [size =\"35202048\"]\n  4 -> 11 [size =\"35202048\"]\n  4 -> 12 [size =\"35202048\"]\n  4 -> 12 [size =\"35202048\"]\n  5 [size=\"54379520\", alpha=\"0.06\", expect_size=\"21751808\"] \n  5 -> 7 [size =\"21751808\"]\n  5 -> 11 [size =\"21751808\"]\n  6 [size=\"65710080\", alpha=\"0.00\", expect_size=\"26284032\"] \n  6 -> 7 [size =\"26284032\"]\n  6 -> 8 [size =\"26284032\"]\n  6 -> 10 [size =\"26284032\"]\n  6 -> 11 [size =\"26284032\"]\n  6 -> 12 [size =\"26284032\"]\n  7 [size=\"45248000\", alpha=\"0.16\", expect_size=\"18099200\"] \n  7 -> 13 [size =\"18099200\"]\n  7 -> 14 [size =\"18099200\"]\n  7 -> 16 [size =\"18099200\"]\n  8 [size=\"26416640\", alpha=\"0.02\", expect_size=\"10566656\"] \n  8 -> 14 [size =\"10566656\"]\n  8 -> 14 [size =\"10566656\"]\n  8 -> 16 [size =\"10566656\"]\n  9 [size=\"50094080\", alpha=\"0.11\", expect_size=\"20037632\"] \n  9 -> 16 [size =\"20037632\"]\n  9 -> 17 [size =\"20037632\"]\n  10 [size=\"52933120\", alpha=\"0.16\", expect_size=\"21173248\"] \n  10 -> 13 [size =\"21173248\"]\n  10 -> 14 [size =\"21173248\"]\n  10 -> 16 [size =\"21173248\"]\n  10 -> 17 [size =\"21173248\"]\n  10 -> 18 [size =\"21173248\"]\n  11 [size=\"124116480\", alpha=\"0.17\", expect_size=\"49646592\"] \n  11 -> 14 [size =\"49646592\"]\n  11 -> 15 [size =\"49646592\"]\n  11 -> 16 [size =\"49646592\"]\n  11 -> 17 [size =\"49646592\"]\n  11 -> 18 [size =\"49646592\"]\n  12 [size=\"29877760\", alpha=\"0.19\", expect_size=\"11951104\"] \n  12 -> 15 [size =\"11951104\"]\n  12 -> 16 [size =\"11951104\"]\n  12 -> 17 [size =\"11951104\"]\n  12 -> 18 [size =\"11951104\"]\n  13 [size=\"69002240\", alpha=\"0.01\", expect_size=\"27600896\"] \n  13 -> 19 [size =\"27600896\"]\n  14 [size=\"42314240\", alpha=\"0.06\", expect_size=\"16925696\"] \n  14 -> 19 [size =\"16925696\"]\n  14 -> 22 [size =\"16925696\"]\n  14 -> 23 [size =\"16925696\"]\n  15 [size=\"104624640\", alpha=\"0.05\", expect_size=\"41849856\"] \n  15 -> 21 [size =\"41849856\"]\n  16 [size=\"22374400\", alpha=\"0.08\", expect_size=\"8949760\"] \n  16 -> 20 [size =\"8949760\"]\n  17 [size=\"24473600\", alpha=\"0.17\", expect_size=\"9789440\"] \n  18 [size=\"119690240\", alpha=\"0.10\", expect_size=\"47876096\"] \n  18 -> 19 [size =\"47876096\"]\n  18 -> 20 [size =\"47876096\"]\n  18 -> 22 [size =\"47876096\"]\n  18 -> 24 [size =\"47876096\"]\n  19 [size=\"15188480\", alpha=\"0.05\", expect_size=\"6075392\"] \n  19 -> 25 [size =\"6075392\"]\n  19 -> 26 [size =\"6075392\"]\n  19 -> 27 [size =\"6075392\"]\n  19 -> 29 [size =\"6075392\"]\n  19 -> 30 [size =\"6075392\"]\n  20 [size=\"79354880\", alpha=\"0.14\", expect_size=\"31741952\"] \n  20 -> 26 [size =\"31741952\"]\n  20 -> 27 [size =\"31741952\"]\n  20 -> 27 [size =\"31741952\"]\n  20 -> 28 [size =\"31741952\"]\n  21 [size=\"53491200\", alpha=\"0.15\", expect_size=\"21396480\"] \n  21 -> 26 [size =\"21396480\"]\n  22 [size=\"33620480\", alpha=\"0.00\", expect_size=\"13448192\"] \n  22 -> 26 [size =\"13448192\"]\n  22 -> 28 [size =\"13448192\"]\n  23 [size=\"26045440\", alpha=\"0.17\", expect_size=\"10418176\"] \n  23 -> 26 [size =\"10418176\"]\n  23 -> 27 [size =\"10418176\"]\n  23 -> 28 [size =\"10418176\"]\n  23 -> 29 [size =\"10418176\"]\n  24 [size=\"34639360\", alpha=\"0.07\", expect_size=\"13855744\"] \n  24 -> 26 [size =\"13855744\"]\n  24 -> 27 [size =\"13855744\"]\n  24 -> 29 [size =\"13855744\"]\n  25 [size=\"67491840\", alpha=\"0.04\", expect_size=\"26996736\"] \n  25 -> 34 [size =\"26996736\"]\n  25 -> 36 [size =\"26996736\"]\n  26 [size=\"96478720\", alpha=\"0.10\", expect_size=\"38591488\"] \n  26 -> 34 [size =\"38591488\"]\n  27 [size=\"27566080\", alpha=\"0.01\", expect_size=\"11026432\"] \n  27 -> 34 [size =\"11026432\"]\n  28 [size=\"129986560\", alpha=\"0.15\", expect_size=\"51994624\"] \n  28 -> 32 [size =\"51994624\"]\n  28 -> 34 [size =\"51994624\"]\n  28 -> 37 [size =\"51994624\"]\n  29 [size=\"68364800\", alpha=\"0.15\", expect_size=\"27345920\"] \n  29 -> 31 [size =\"27345920\"]\n  29 -> 32 [size =\"27345920\"]\n  29 -> 33 [size =\"27345920\"]\n  29 -> 34 [size =\"27345920\"]\n  29 -> 35 [size =\"27345920\"]\n  29 -> 36 [size =\"27345920\"]\n  30 [size=\"100728320\", alpha=\"0.01\", expect_size=\"40291328\"] \n  30 -> 31 [size =\"40291328\"]\n  30 -> 34 [size =\"40291328\"]\n  30 -> 36 [size =\"40291328\"]\n  31 [size=\"66414080\", alpha=\"0.07\", expect_size=\"26565632\"] \n  31 -> 38 [size =\"26565632\"]\n  31 -> 39 [size =\"26565632\"]\n  31 -> 40 [size =\"26565632\"]\n  31 -> 41 [size =\"26565632\"]\n  31 -> 42 [size =\"26565632\"]\n  31 -> 43 [size =\"26565632\"]\n  32 [size=\"39720960\", alpha=\"0.15\", expect_size=\"15888384\"] \n  32 -> 38 [size =\"15888384\"]\n  32 -> 39 [size =\"15888384\"]\n  32 -> 40 [size =\"15888384\"]\n  32 -> 41 [size =\"15888384\"]\n  32 -> 42 [size =\"15888384\"]\n  32 -> 43 [size =\"15888384\"]\n  33 [size=\"39810560\", alpha=\"0.13\", expect_size=\"15924224\"] \n  33 -> 38 [size =\"15924224\"]\n  33 -> 39 [size =\"15924224\"]\n  33 -> 40 [size =\"15924224\"]\n  33 -> 41 [size =\"15924224\"]\n  33 -> 42 [size =\"15924224\"]\n  33 -> 43 [size =\"15924224\"]\n  34 [size=\"23761920\", alpha=\"0.16\", expect_size=\"9504768\"] \n  34 -> 38 [size =\"9504768\"]\n  34 -> 39 [size =\"9504768\"]\n  34 -> 40 [size =\"9504768\"]\n  34 -> 41 [size =\"9504768\"]\n  34 -> 42 [size =\"9504768\"]\n  34 -> 43 [size =\"9504768\"]\n  35 [size=\"66467840\", alpha=\"0.14\", expect_size=\"26587136\"] \n  35 -> 38 [size =\"26587136\"]\n  35 -> 39 [size =\"26587136\"]\n  35 -> 41 [size =\"26587136\"]\n  35 -> 42 [size =\"26587136\"]\n  36 [size=\"91243520\", alpha=\"0.14\", expect_size=\"36497408\"] \n  36 -> 38 [size =\"36497408\"]\n  36 -> 39 [size =\"36497408\"]\n  36 -> 41 [size =\"36497408\"]\n  36 -> 42 [size =\"36497408\"]\n  36 -> 43 [size =\"36497408\"]\n  37 [size=\"32724480\", alpha=\"0.15\", expect_size=\"13089792\"] \n  37 -> 38 [size =\"13089792\"]\n  37 -> 39 [size =\"13089792\"]\n  37 -> 40 [size =\"13089792\"]\n  37 -> 41 [size =\"13089792\"]\n  37 -> 42 [size =\"13089792\"]\n  37 -> 43 [size =\"13089792\"]\n  38 [size=\"41018880\", alpha=\"0.15\", expect_size=\"16407552\"] \n  38 -> 45 [size =\"16407552\"]\n  38 -> 46 [size =\"16407552\"]\n  38 -> 48 [size =\"16407552\"]\n  39 [size=\"129441280\", alpha=\"0.15\", expect_size=\"51776512\"] \n  39 -> 45 [size =\"51776512\"]\n  39 -> 47 [size =\"51776512\"]\n  39 -> 48 [size =\"51776512\"]\n  39 -> 49 [size =\"51776512\"]\n  39 -> 50 [size =\"51776512\"]\n  40 [size=\"99046400\", alpha=\"0.07\", expect_size=\"39618560\"] \n  40 -> 46 [size =\"39618560\"]\n  40 -> 47 [size =\"39618560\"]\n  40 -> 50 [size =\"39618560\"]\n  41 [size=\"107632640\", alpha=\"0.05\", expect_size=\"43053056\"] \n  41 -> 47 [size =\"43053056\"]\n  41 -> 49 [size =\"43053056\"]\n  41 -> 50 [size =\"43053056\"]\n  42 [size=\"30274560\", alpha=\"0.07\", expect_size=\"12109824\"] \n  42 -> 45 [size =\"12109824\"]\n  42 -> 46 [size =\"12109824\"]\n  42 -> 47 [size =\"12109824\"]\n  43 [size=\"119674880\", alpha=\"0.10\", expect_size=\"47869952\"] \n  43 -> 44 [size =\"47869952\"]\n  43 -> 46 [size =\"47869952\"]\n  43 -> 47 [size =\"47869952\"]\n  43 -> 48 [size =\"47869952\"]\n  43 -> 50 [size =\"47869952\"]\n  44 [size=\"77839360\", alpha=\"0.18\", expect_size=\"31135744\"] \n  45 [size=\"51939840\", alpha=\"0.15\", expect_size=\"20775936\"] \n  46 [size=\"15528960\", alpha=\"0.06\", expect_size=\"6211584\"] \n  47 [size=\"95838720\", alpha=\"0.19\", expect_size=\"38335488\"] \n  48 [size=\"68311040\", alpha=\"0.12\", expect_size=\"27324416\"] \n  49 [size=\"39523840\", alpha=\"0.15\", expect_size=\"15809536\"] \n  50 [size=\"129530880\", alpha=\"0.12\", expect_size=\"51812352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.612.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12785664\", alpha=\"0.18\", expect_size=\"6392832\"] \n  1 -> 2 [size =\"6392832\"]\n  2 [size=\"80146432\", alpha=\"0.10\", expect_size=\"40073216\"] \n  2 -> 3 [size =\"40073216\"]\n  3 [size=\"31293440\", alpha=\"0.17\", expect_size=\"15646720\"] \n  3 -> 4 [size =\"15646720\"]\n  4 [size=\"78340096\", alpha=\"0.14\", expect_size=\"39170048\"] \n  4 -> 5 [size =\"39170048\"]\n  5 [size=\"80459776\", alpha=\"0.16\", expect_size=\"40229888\"] \n  5 -> 6 [size =\"40229888\"]\n  6 [size=\"42004480\", alpha=\"0.11\", expect_size=\"21002240\"] \n  6 -> 7 [size =\"21002240\"]\n  7 [size=\"94013440\", alpha=\"0.10\", expect_size=\"47006720\"] \n  7 -> 8 [size =\"47006720\"]\n  8 [size=\"25184256\", alpha=\"0.18\", expect_size=\"12592128\"] \n  8 -> 9 [size =\"12592128\"]\n  9 [size=\"89028608\", alpha=\"0.19\", expect_size=\"44514304\"] \n  9 -> 10 [size =\"44514304\"]\n  10 [size=\"16486400\", alpha=\"0.14\", expect_size=\"8243200\"] \n  10 -> 11 [size =\"8243200\"]\n  11 [size=\"94003200\", alpha=\"0.18\", expect_size=\"47001600\"] \n  11 -> 12 [size =\"47001600\"]\n  12 [size=\"84045824\", alpha=\"0.06\", expect_size=\"42022912\"] \n  12 -> 13 [size =\"42022912\"]\n  13 [size=\"38785024\", alpha=\"0.08\", expect_size=\"19392512\"] \n  13 -> 14 [size =\"19392512\"]\n  14 [size=\"25540608\", alpha=\"0.04\", expect_size=\"12770304\"] \n  14 -> 15 [size =\"12770304\"]\n  15 [size=\"91228160\", alpha=\"0.17\", expect_size=\"45614080\"] \n  15 -> 16 [size =\"45614080\"]\n  16 [size=\"74627072\", alpha=\"0.02\", expect_size=\"37313536\"] \n  16 -> 17 [size =\"37313536\"]\n  17 [size=\"30361600\", alpha=\"0.15\", expect_size=\"15180800\"] \n  17 -> 18 [size =\"15180800\"]\n  18 [size=\"75446272\", alpha=\"0.10\", expect_size=\"37723136\"] \n  18 -> 19 [size =\"37723136\"]\n  19 [size=\"66973696\", alpha=\"0.05\", expect_size=\"33486848\"] \n  19 -> 20 [size =\"33486848\"]\n  20 [size=\"63358976\", alpha=\"0.04\", expect_size=\"31679488\"] \n  20 -> 21 [size =\"31679488\"]\n  21 [size=\"32862208\", alpha=\"0.03\", expect_size=\"16431104\"] \n  21 -> 22 [size =\"16431104\"]\n  22 [size=\"22243328\", alpha=\"0.17\", expect_size=\"11121664\"] \n  22 -> 23 [size =\"11121664\"]\n  23 [size=\"49432576\", alpha=\"0.15\", expect_size=\"24716288\"] \n  23 -> 24 [size =\"24716288\"]\n  24 [size=\"85641216\", alpha=\"0.07\", expect_size=\"42820608\"] \n  24 -> 25 [size =\"42820608\"]\n  25 [size=\"12431360\", alpha=\"0.15\", expect_size=\"6215680\"] \n  25 -> 26 [size =\"6215680\"]\n  26 [size=\"91557888\", alpha=\"0.09\", expect_size=\"45778944\"] \n  26 -> 27 [size =\"45778944\"]\n  27 [size=\"102948864\", alpha=\"0.01\", expect_size=\"51474432\"] \n  27 -> 28 [size =\"51474432\"]\n  28 [size=\"80975872\", alpha=\"0.16\", expect_size=\"40487936\"] \n  28 -> 29 [size =\"40487936\"]\n  29 [size=\"33892352\", alpha=\"0.07\", expect_size=\"16946176\"] \n  29 -> 30 [size =\"16946176\"]\n  30 [size=\"58564608\", alpha=\"0.00\", expect_size=\"29282304\"] \n  30 -> 31 [size =\"29282304\"]\n  31 [size=\"76437504\", alpha=\"0.11\", expect_size=\"38218752\"] \n  31 -> 32 [size =\"38218752\"]\n  32 [size=\"89812992\", alpha=\"0.17\", expect_size=\"44906496\"] \n  32 -> 33 [size =\"44906496\"]\n  33 [size=\"73984000\", alpha=\"0.09\", expect_size=\"36992000\"] \n  33 -> 34 [size =\"36992000\"]\n  34 [size=\"49754112\", alpha=\"0.04\", expect_size=\"24877056\"] \n  34 -> 35 [size =\"24877056\"]\n  35 [size=\"84983808\", alpha=\"0.17\", expect_size=\"42491904\"] \n  35 -> 36 [size =\"42491904\"]\n  36 [size=\"60899328\", alpha=\"0.03\", expect_size=\"30449664\"] \n  36 -> 37 [size =\"30449664\"]\n  37 [size=\"103395328\", alpha=\"0.13\", expect_size=\"51697664\"] \n  37 -> 38 [size =\"51697664\"]\n  38 [size=\"12883968\", alpha=\"0.17\", expect_size=\"6441984\"] \n  38 -> 39 [size =\"6441984\"]\n  39 [size=\"87177216\", alpha=\"0.13\", expect_size=\"43588608\"] \n  39 -> 40 [size =\"43588608\"]\n  40 [size=\"27332608\", alpha=\"0.00\", expect_size=\"13666304\"] \n  40 -> 41 [size =\"13666304\"]\n  41 [size=\"28096512\", alpha=\"0.12\", expect_size=\"14048256\"] \n  41 -> 42 [size =\"14048256\"]\n  42 [size=\"78616576\", alpha=\"0.07\", expect_size=\"39308288\"] \n  42 -> 43 [size =\"39308288\"]\n  43 [size=\"63709184\", alpha=\"0.09\", expect_size=\"31854592\"] \n  43 -> 44 [size =\"31854592\"]\n  44 [size=\"11675648\", alpha=\"0.08\", expect_size=\"5837824\"] \n  44 -> 45 [size =\"5837824\"]\n  45 [size=\"31940608\", alpha=\"0.07\", expect_size=\"15970304\"] \n  45 -> 46 [size =\"15970304\"]\n  46 [size=\"16504832\", alpha=\"0.03\", expect_size=\"8252416\"] \n  46 -> 47 [size =\"8252416\"]\n  47 [size=\"29513728\", alpha=\"0.19\", expect_size=\"14756864\"] \n  47 -> 48 [size =\"14756864\"]\n  48 [size=\"90839040\", alpha=\"0.10\", expect_size=\"45419520\"] \n  48 -> 49 [size =\"45419520\"]\n  49 [size=\"76703744\", alpha=\"0.05\", expect_size=\"38351872\"] \n  49 -> 50 [size =\"38351872\"]\n  50 [size=\"43593728\", alpha=\"0.11\", expect_size=\"21796864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.613.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44994560\", alpha=\"0.14\", expect_size=\"17997824\"] \n  1 -> 15 [size =\"17997824\"]\n  1 -> 17 [size =\"17997824\"]\n  1 -> 25 [size =\"17997824\"]\n  1 -> 27 [size =\"17997824\"]\n  1 -> 28 [size =\"17997824\"]\n  2 [size=\"47948800\", alpha=\"0.08\", expect_size=\"19179520\"] \n  2 -> 20 [size =\"19179520\"]\n  2 -> 28 [size =\"19179520\"]\n  3 [size=\"101916160\", alpha=\"0.04\", expect_size=\"40766464\"] \n  3 -> 17 [size =\"40766464\"]\n  3 -> 20 [size =\"40766464\"]\n  4 [size=\"19589120\", alpha=\"0.20\", expect_size=\"7835648\"] \n  4 -> 15 [size =\"7835648\"]\n  4 -> 17 [size =\"7835648\"]\n  4 -> 20 [size =\"7835648\"]\n  4 -> 21 [size =\"7835648\"]\n  4 -> 23 [size =\"7835648\"]\n  5 [size=\"15367680\", alpha=\"0.10\", expect_size=\"6147072\"] \n  5 -> 15 [size =\"6147072\"]\n  5 -> 18 [size =\"6147072\"]\n  5 -> 20 [size =\"6147072\"]\n  5 -> 23 [size =\"6147072\"]\n  5 -> 24 [size =\"6147072\"]\n  5 -> 28 [size =\"6147072\"]\n  6 [size=\"95431680\", alpha=\"0.14\", expect_size=\"38172672\"] \n  6 -> 15 [size =\"38172672\"]\n  6 -> 18 [size =\"38172672\"]\n  7 [size=\"29649920\", alpha=\"0.02\", expect_size=\"11859968\"] \n  7 -> 20 [size =\"11859968\"]\n  7 -> 28 [size =\"11859968\"]\n  8 [size=\"68067840\", alpha=\"0.15\", expect_size=\"27227136\"] \n  8 -> 15 [size =\"27227136\"]\n  8 -> 16 [size =\"27227136\"]\n  8 -> 17 [size =\"27227136\"]\n  8 -> 22 [size =\"27227136\"]\n  8 -> 23 [size =\"27227136\"]\n  8 -> 27 [size =\"27227136\"]\n  8 -> 28 [size =\"27227136\"]\n  9 [size=\"38315520\", alpha=\"0.02\", expect_size=\"15326208\"] \n  9 -> 15 [size =\"15326208\"]\n  9 -> 19 [size =\"15326208\"]\n  9 -> 20 [size =\"15326208\"]\n  9 -> 23 [size =\"15326208\"]\n  9 -> 27 [size =\"15326208\"]\n  9 -> 28 [size =\"15326208\"]\n  10 [size=\"67453440\", alpha=\"0.01\", expect_size=\"26981376\"] \n  10 -> 19 [size =\"26981376\"]\n  10 -> 27 [size =\"26981376\"]\n  10 -> 28 [size =\"26981376\"]\n  11 [size=\"93178880\", alpha=\"0.11\", expect_size=\"37271552\"] \n  11 -> 18 [size =\"37271552\"]\n  11 -> 19 [size =\"37271552\"]\n  11 -> 27 [size =\"37271552\"]\n  11 -> 28 [size =\"37271552\"]\n  12 [size=\"56652800\", alpha=\"0.19\", expect_size=\"22661120\"] \n  12 -> 19 [size =\"22661120\"]\n  12 -> 23 [size =\"22661120\"]\n  12 -> 27 [size =\"22661120\"]\n  13 [size=\"103951360\", alpha=\"0.15\", expect_size=\"41580544\"] \n  13 -> 23 [size =\"41580544\"]\n  13 -> 23 [size =\"41580544\"]\n  13 -> 25 [size =\"41580544\"]\n  13 -> 27 [size =\"41580544\"]\n  13 -> 28 [size =\"41580544\"]\n  14 [size=\"130304000\", alpha=\"0.18\", expect_size=\"52121600\"] \n  14 -> 15 [size =\"52121600\"]\n  14 -> 20 [size =\"52121600\"]\n  14 -> 26 [size =\"52121600\"]\n  14 -> 28 [size =\"52121600\"]\n  15 [size=\"129425920\", alpha=\"0.02\", expect_size=\"51770368\"] \n  15 -> 30 [size =\"51770368\"]\n  15 -> 32 [size =\"51770368\"]\n  15 -> 37 [size =\"51770368\"]\n  15 -> 44 [size =\"51770368\"]\n  16 [size=\"70364160\", alpha=\"0.05\", expect_size=\"28145664\"] \n  16 -> 29 [size =\"28145664\"]\n  16 -> 34 [size =\"28145664\"]\n  16 -> 39 [size =\"28145664\"]\n  16 -> 41 [size =\"28145664\"]\n  16 -> 44 [size =\"28145664\"]\n  17 [size=\"36111360\", alpha=\"0.04\", expect_size=\"14444544\"] \n  17 -> 29 [size =\"14444544\"]\n  17 -> 41 [size =\"14444544\"]\n  17 -> 44 [size =\"14444544\"]\n  18 [size=\"50209280\", alpha=\"0.08\", expect_size=\"20083712\"] \n  18 -> 30 [size =\"20083712\"]\n  18 -> 34 [size =\"20083712\"]\n  18 -> 37 [size =\"20083712\"]\n  18 -> 41 [size =\"20083712\"]\n  18 -> 42 [size =\"20083712\"]\n  18 -> 43 [size =\"20083712\"]\n  18 -> 44 [size =\"20083712\"]\n  19 [size=\"23342080\", alpha=\"0.16\", expect_size=\"9336832\"] \n  19 -> 29 [size =\"9336832\"]\n  19 -> 30 [size =\"9336832\"]\n  19 -> 37 [size =\"9336832\"]\n  19 -> 38 [size =\"9336832\"]\n  19 -> 40 [size =\"9336832\"]\n  19 -> 41 [size =\"9336832\"]\n  19 -> 44 [size =\"9336832\"]\n  20 [size=\"37432320\", alpha=\"0.11\", expect_size=\"14972928\"] \n  20 -> 32 [size =\"14972928\"]\n  20 -> 34 [size =\"14972928\"]\n  20 -> 41 [size =\"14972928\"]\n  20 -> 42 [size =\"14972928\"]\n  20 -> 44 [size =\"14972928\"]\n  21 [size=\"40622080\", alpha=\"0.12\", expect_size=\"16248832\"] \n  21 -> 34 [size =\"16248832\"]\n  21 -> 35 [size =\"16248832\"]\n  21 -> 40 [size =\"16248832\"]\n  21 -> 41 [size =\"16248832\"]\n  21 -> 42 [size =\"16248832\"]\n  21 -> 43 [size =\"16248832\"]\n  21 -> 44 [size =\"16248832\"]\n  22 [size=\"106693120\", alpha=\"0.19\", expect_size=\"42677248\"] \n  22 -> 32 [size =\"42677248\"]\n  22 -> 33 [size =\"42677248\"]\n  22 -> 34 [size =\"42677248\"]\n  22 -> 38 [size =\"42677248\"]\n  22 -> 41 [size =\"42677248\"]\n  22 -> 44 [size =\"42677248\"]\n  22 -> 44 [size =\"42677248\"]\n  23 [size=\"97958400\", alpha=\"0.01\", expect_size=\"39183360\"] \n  23 -> 31 [size =\"39183360\"]\n  23 -> 34 [size =\"39183360\"]\n  23 -> 35 [size =\"39183360\"]\n  23 -> 36 [size =\"39183360\"]\n  23 -> 37 [size =\"39183360\"]\n  23 -> 38 [size =\"39183360\"]\n  23 -> 41 [size =\"39183360\"]\n  24 [size=\"68812800\", alpha=\"0.04\", expect_size=\"27525120\"] \n  24 -> 34 [size =\"27525120\"]\n  24 -> 37 [size =\"27525120\"]\n  24 -> 42 [size =\"27525120\"]\n  24 -> 43 [size =\"27525120\"]\n  24 -> 44 [size =\"27525120\"]\n  25 [size=\"54149120\", alpha=\"0.08\", expect_size=\"21659648\"] \n  25 -> 29 [size =\"21659648\"]\n  25 -> 35 [size =\"21659648\"]\n  25 -> 41 [size =\"21659648\"]\n  25 -> 43 [size =\"21659648\"]\n  26 [size=\"64990720\", alpha=\"0.05\", expect_size=\"25996288\"] \n  26 -> 30 [size =\"25996288\"]\n  26 -> 32 [size =\"25996288\"]\n  26 -> 36 [size =\"25996288\"]\n  27 [size=\"95672320\", alpha=\"0.05\", expect_size=\"38268928\"] \n  27 -> 30 [size =\"38268928\"]\n  27 -> 32 [size =\"38268928\"]\n  27 -> 34 [size =\"38268928\"]\n  27 -> 37 [size =\"38268928\"]\n  27 -> 39 [size =\"38268928\"]\n  28 [size=\"122191360\", alpha=\"0.15\", expect_size=\"48876544\"] \n  28 -> 30 [size =\"48876544\"]\n  28 -> 31 [size =\"48876544\"]\n  28 -> 32 [size =\"48876544\"]\n  28 -> 35 [size =\"48876544\"]\n  28 -> 40 [size =\"48876544\"]\n  28 -> 41 [size =\"48876544\"]\n  28 -> 42 [size =\"48876544\"]\n  28 -> 43 [size =\"48876544\"]\n  29 [size=\"48698880\", alpha=\"0.08\", expect_size=\"19479552\"] \n  29 -> 45 [size =\"19479552\"]\n  29 -> 47 [size =\"19479552\"]\n  29 -> 48 [size =\"19479552\"]\n  30 [size=\"24312320\", alpha=\"0.11\", expect_size=\"9724928\"] \n  30 -> 46 [size =\"9724928\"]\n  30 -> 47 [size =\"9724928\"]\n  30 -> 48 [size =\"9724928\"]\n  31 [size=\"91706880\", alpha=\"0.08\", expect_size=\"36682752\"] \n  31 -> 46 [size =\"36682752\"]\n  31 -> 50 [size =\"36682752\"]\n  32 [size=\"46835200\", alpha=\"0.12\", expect_size=\"18734080\"] \n  32 -> 48 [size =\"18734080\"]\n  33 [size=\"42508800\", alpha=\"0.11\", expect_size=\"17003520\"] \n  33 -> 46 [size =\"17003520\"]\n  33 -> 47 [size =\"17003520\"]\n  33 -> 48 [size =\"17003520\"]\n  33 -> 49 [size =\"17003520\"]\n  34 [size=\"49571840\", alpha=\"0.10\", expect_size=\"19828736\"] \n  34 -> 48 [size =\"19828736\"]\n  34 -> 50 [size =\"19828736\"]\n  35 [size=\"74508800\", alpha=\"0.09\", expect_size=\"29803520\"] \n  35 -> 45 [size =\"29803520\"]\n  35 -> 47 [size =\"29803520\"]\n  35 -> 48 [size =\"29803520\"]\n  36 [size=\"119580160\", alpha=\"0.18\", expect_size=\"47832064\"] \n  36 -> 47 [size =\"47832064\"]\n  36 -> 48 [size =\"47832064\"]\n  37 [size=\"31183360\", alpha=\"0.11\", expect_size=\"12473344\"] \n  38 [size=\"61790720\", alpha=\"0.09\", expect_size=\"24716288\"] \n  38 -> 47 [size =\"24716288\"]\n  38 -> 50 [size =\"24716288\"]\n  39 [size=\"30438400\", alpha=\"0.10\", expect_size=\"12175360\"] \n  39 -> 47 [size =\"12175360\"]\n  40 [size=\"80296960\", alpha=\"0.15\", expect_size=\"32118784\"] \n  40 -> 47 [size =\"32118784\"]\n  40 -> 48 [size =\"32118784\"]\n  40 -> 49 [size =\"32118784\"]\n  40 -> 50 [size =\"32118784\"]\n  41 [size=\"29785600\", alpha=\"0.04\", expect_size=\"11914240\"] \n  41 -> 47 [size =\"11914240\"]\n  41 -> 48 [size =\"11914240\"]\n  42 [size=\"76940800\", alpha=\"0.09\", expect_size=\"30776320\"] \n  42 -> 47 [size =\"30776320\"]\n  42 -> 49 [size =\"30776320\"]\n  43 [size=\"29381120\", alpha=\"0.09\", expect_size=\"11752448\"] \n  44 [size=\"95915520\", alpha=\"0.18\", expect_size=\"38366208\"] \n  44 -> 47 [size =\"38366208\"]\n  44 -> 48 [size =\"38366208\"]\n  45 [size=\"39848960\", alpha=\"0.14\", expect_size=\"15939584\"] \n  46 [size=\"95464960\", alpha=\"0.19\", expect_size=\"38185984\"] \n  47 [size=\"84090880\", alpha=\"0.18\", expect_size=\"33636352\"] \n  48 [size=\"28733440\", alpha=\"0.15\", expect_size=\"11493376\"] \n  49 [size=\"84456960\", alpha=\"0.18\", expect_size=\"33782784\"] \n  50 [size=\"25571840\", alpha=\"0.03\", expect_size=\"10228736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.614.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10954752\", alpha=\"0.13\", expect_size=\"5477376\"] \n  1 -> 34 [size =\"5477376\"]\n  1 -> 35 [size =\"5477376\"]\n  1 -> 36 [size =\"5477376\"]\n  1 -> 38 [size =\"5477376\"]\n  1 -> 47 [size =\"5477376\"]\n  1 -> 49 [size =\"5477376\"]\n  2 [size=\"54407168\", alpha=\"0.08\", expect_size=\"27203584\"] \n  2 -> 34 [size =\"27203584\"]\n  2 -> 37 [size =\"27203584\"]\n  2 -> 47 [size =\"27203584\"]\n  3 [size=\"101648384\", alpha=\"0.15\", expect_size=\"50824192\"] \n  3 -> 36 [size =\"50824192\"]\n  3 -> 37 [size =\"50824192\"]\n  3 -> 41 [size =\"50824192\"]\n  3 -> 46 [size =\"50824192\"]\n  3 -> 47 [size =\"50824192\"]\n  3 -> 50 [size =\"50824192\"]\n  4 [size=\"70703104\", alpha=\"0.03\", expect_size=\"35351552\"] \n  4 -> 34 [size =\"35351552\"]\n  4 -> 36 [size =\"35351552\"]\n  4 -> 37 [size =\"35351552\"]\n  4 -> 45 [size =\"35351552\"]\n  5 [size=\"19097600\", alpha=\"0.17\", expect_size=\"9548800\"] \n  5 -> 34 [size =\"9548800\"]\n  5 -> 36 [size =\"9548800\"]\n  5 -> 37 [size =\"9548800\"]\n  5 -> 40 [size =\"9548800\"]\n  5 -> 49 [size =\"9548800\"]\n  6 [size=\"31967232\", alpha=\"0.10\", expect_size=\"15983616\"] \n  6 -> 36 [size =\"15983616\"]\n  6 -> 37 [size =\"15983616\"]\n  6 -> 37 [size =\"15983616\"]\n  6 -> 41 [size =\"15983616\"]\n  6 -> 45 [size =\"15983616\"]\n  6 -> 47 [size =\"15983616\"]\n  7 [size=\"85327872\", alpha=\"0.01\", expect_size=\"42663936\"] \n  7 -> 37 [size =\"42663936\"]\n  7 -> 37 [size =\"42663936\"]\n  7 -> 40 [size =\"42663936\"]\n  7 -> 46 [size =\"42663936\"]\n  7 -> 49 [size =\"42663936\"]\n  7 -> 50 [size =\"42663936\"]\n  8 [size=\"75028480\", alpha=\"0.08\", expect_size=\"37514240\"] \n  8 -> 34 [size =\"37514240\"]\n  8 -> 38 [size =\"37514240\"]\n  8 -> 41 [size =\"37514240\"]\n  8 -> 42 [size =\"37514240\"]\n  8 -> 46 [size =\"37514240\"]\n  8 -> 50 [size =\"37514240\"]\n  9 [size=\"61923328\", alpha=\"0.07\", expect_size=\"30961664\"] \n  9 -> 33 [size =\"30961664\"]\n  9 -> 34 [size =\"30961664\"]\n  9 -> 37 [size =\"30961664\"]\n  9 -> 41 [size =\"30961664\"]\n  9 -> 47 [size =\"30961664\"]\n  9 -> 50 [size =\"30961664\"]\n  10 [size=\"58900480\", alpha=\"0.17\", expect_size=\"29450240\"] \n  10 -> 34 [size =\"29450240\"]\n  10 -> 37 [size =\"29450240\"]\n  10 -> 39 [size =\"29450240\"]\n  10 -> 41 [size =\"29450240\"]\n  10 -> 47 [size =\"29450240\"]\n  11 [size=\"76158976\", alpha=\"0.04\", expect_size=\"38079488\"] \n  11 -> 40 [size =\"38079488\"]\n  11 -> 41 [size =\"38079488\"]\n  11 -> 45 [size =\"38079488\"]\n  11 -> 47 [size =\"38079488\"]\n  11 -> 49 [size =\"38079488\"]\n  12 [size=\"41480192\", alpha=\"0.02\", expect_size=\"20740096\"] \n  12 -> 34 [size =\"20740096\"]\n  12 -> 39 [size =\"20740096\"]\n  12 -> 46 [size =\"20740096\"]\n  13 [size=\"77203456\", alpha=\"0.13\", expect_size=\"38601728\"] \n  13 -> 34 [size =\"38601728\"]\n  13 -> 35 [size =\"38601728\"]\n  13 -> 40 [size =\"38601728\"]\n  13 -> 42 [size =\"38601728\"]\n  13 -> 46 [size =\"38601728\"]\n  13 -> 47 [size =\"38601728\"]\n  14 [size=\"54896640\", alpha=\"0.13\", expect_size=\"27448320\"] \n  14 -> 36 [size =\"27448320\"]\n  14 -> 39 [size =\"27448320\"]\n  14 -> 40 [size =\"27448320\"]\n  14 -> 41 [size =\"27448320\"]\n  14 -> 42 [size =\"27448320\"]\n  14 -> 43 [size =\"27448320\"]\n  14 -> 47 [size =\"27448320\"]\n  14 -> 48 [size =\"27448320\"]\n  15 [size=\"68937728\", alpha=\"0.11\", expect_size=\"34468864\"] \n  15 -> 36 [size =\"34468864\"]\n  15 -> 37 [size =\"34468864\"]\n  15 -> 38 [size =\"34468864\"]\n  15 -> 41 [size =\"34468864\"]\n  16 [size=\"56741888\", alpha=\"0.08\", expect_size=\"28370944\"] \n  16 -> 36 [size =\"28370944\"]\n  16 -> 38 [size =\"28370944\"]\n  16 -> 39 [size =\"28370944\"]\n  16 -> 47 [size =\"28370944\"]\n  16 -> 50 [size =\"28370944\"]\n  17 [size=\"104644608\", alpha=\"0.04\", expect_size=\"52322304\"] \n  17 -> 36 [size =\"52322304\"]\n  17 -> 41 [size =\"52322304\"]\n  17 -> 42 [size =\"52322304\"]\n  17 -> 45 [size =\"52322304\"]\n  18 [size=\"13010944\", alpha=\"0.05\", expect_size=\"6505472\"] \n  18 -> 37 [size =\"6505472\"]\n  18 -> 41 [size =\"6505472\"]\n  18 -> 42 [size =\"6505472\"]\n  18 -> 47 [size =\"6505472\"]\n  19 [size=\"51146752\", alpha=\"0.08\", expect_size=\"25573376\"] \n  19 -> 34 [size =\"25573376\"]\n  19 -> 36 [size =\"25573376\"]\n  19 -> 37 [size =\"25573376\"]\n  19 -> 47 [size =\"25573376\"]\n  20 [size=\"86427648\", alpha=\"0.04\", expect_size=\"43213824\"] \n  20 -> 33 [size =\"43213824\"]\n  20 -> 38 [size =\"43213824\"]\n  20 -> 39 [size =\"43213824\"]\n  20 -> 43 [size =\"43213824\"]\n  20 -> 45 [size =\"43213824\"]\n  20 -> 47 [size =\"43213824\"]\n  20 -> 48 [size =\"43213824\"]\n  21 [size=\"70578176\", alpha=\"0.01\", expect_size=\"35289088\"] \n  21 -> 34 [size =\"35289088\"]\n  21 -> 36 [size =\"35289088\"]\n  21 -> 37 [size =\"35289088\"]\n  21 -> 41 [size =\"35289088\"]\n  21 -> 42 [size =\"35289088\"]\n  21 -> 43 [size =\"35289088\"]\n  21 -> 47 [size =\"35289088\"]\n  21 -> 48 [size =\"35289088\"]\n  21 -> 50 [size =\"35289088\"]\n  22 [size=\"87894016\", alpha=\"0.06\", expect_size=\"43947008\"] \n  22 -> 34 [size =\"43947008\"]\n  22 -> 36 [size =\"43947008\"]\n  22 -> 38 [size =\"43947008\"]\n  22 -> 41 [size =\"43947008\"]\n  22 -> 49 [size =\"43947008\"]\n  23 [size=\"96145408\", alpha=\"0.11\", expect_size=\"48072704\"] \n  23 -> 36 [size =\"48072704\"]\n  23 -> 37 [size =\"48072704\"]\n  23 -> 40 [size =\"48072704\"]\n  23 -> 41 [size =\"48072704\"]\n  23 -> 43 [size =\"48072704\"]\n  23 -> 44 [size =\"48072704\"]\n  23 -> 48 [size =\"48072704\"]\n  23 -> 50 [size =\"48072704\"]\n  24 [size=\"62865408\", alpha=\"0.09\", expect_size=\"31432704\"] \n  24 -> 35 [size =\"31432704\"]\n  24 -> 36 [size =\"31432704\"]\n  24 -> 38 [size =\"31432704\"]\n  24 -> 40 [size =\"31432704\"]\n  24 -> 41 [size =\"31432704\"]\n  24 -> 42 [size =\"31432704\"]\n  24 -> 43 [size =\"31432704\"]\n  25 [size=\"30842880\", alpha=\"0.08\", expect_size=\"15421440\"] \n  25 -> 34 [size =\"15421440\"]\n  25 -> 36 [size =\"15421440\"]\n  25 -> 38 [size =\"15421440\"]\n  25 -> 40 [size =\"15421440\"]\n  25 -> 42 [size =\"15421440\"]\n  25 -> 42 [size =\"15421440\"]\n  25 -> 48 [size =\"15421440\"]\n  26 [size=\"83410944\", alpha=\"0.13\", expect_size=\"41705472\"] \n  26 -> 34 [size =\"41705472\"]\n  26 -> 40 [size =\"41705472\"]\n  26 -> 42 [size =\"41705472\"]\n  26 -> 48 [size =\"41705472\"]\n  27 [size=\"29054976\", alpha=\"0.13\", expect_size=\"14527488\"] \n  27 -> 40 [size =\"14527488\"]\n  27 -> 42 [size =\"14527488\"]\n  27 -> 47 [size =\"14527488\"]\n  28 [size=\"49762304\", alpha=\"0.06\", expect_size=\"24881152\"] \n  28 -> 38 [size =\"24881152\"]\n  28 -> 42 [size =\"24881152\"]\n  28 -> 45 [size =\"24881152\"]\n  29 [size=\"75311104\", alpha=\"0.11\", expect_size=\"37655552\"] \n  29 -> 40 [size =\"37655552\"]\n  29 -> 41 [size =\"37655552\"]\n  29 -> 42 [size =\"37655552\"]\n  29 -> 48 [size =\"37655552\"]\n  30 [size=\"18778112\", alpha=\"0.06\", expect_size=\"9389056\"] \n  30 -> 35 [size =\"9389056\"]\n  30 -> 42 [size =\"9389056\"]\n  30 -> 47 [size =\"9389056\"]\n  31 [size=\"38858752\", alpha=\"0.14\", expect_size=\"19429376\"] \n  31 -> 37 [size =\"19429376\"]\n  31 -> 42 [size =\"19429376\"]\n  31 -> 45 [size =\"19429376\"]\n  32 [size=\"41650176\", alpha=\"0.10\", expect_size=\"20825088\"] \n  32 -> 34 [size =\"20825088\"]\n  32 -> 39 [size =\"20825088\"]\n  33 [size=\"71073792\", alpha=\"0.19\", expect_size=\"35536896\"] \n  34 [size=\"29550592\", alpha=\"0.18\", expect_size=\"14775296\"] \n  35 [size=\"71669760\", alpha=\"0.09\", expect_size=\"35834880\"] \n  36 [size=\"17299456\", alpha=\"0.10\", expect_size=\"8649728\"] \n  37 [size=\"76670976\", alpha=\"0.11\", expect_size=\"38335488\"] \n  38 [size=\"41506816\", alpha=\"0.13\", expect_size=\"20753408\"] \n  39 [size=\"70725632\", alpha=\"0.03\", expect_size=\"35362816\"] \n  40 [size=\"27021312\", alpha=\"0.09\", expect_size=\"13510656\"] \n  41 [size=\"53180416\", alpha=\"0.08\", expect_size=\"26590208\"] \n  42 [size=\"26134528\", alpha=\"0.03\", expect_size=\"13067264\"] \n  43 [size=\"71249920\", alpha=\"0.17\", expect_size=\"35624960\"] \n  44 [size=\"66500608\", alpha=\"0.02\", expect_size=\"33250304\"] \n  45 [size=\"56299520\", alpha=\"0.10\", expect_size=\"28149760\"] \n  46 [size=\"99098624\", alpha=\"0.15\", expect_size=\"49549312\"] \n  47 [size=\"52412416\", alpha=\"0.03\", expect_size=\"26206208\"] \n  48 [size=\"104771584\", alpha=\"0.20\", expect_size=\"52385792\"] \n  49 [size=\"69959680\", alpha=\"0.10\", expect_size=\"34979840\"] \n  50 [size=\"83011584\", alpha=\"0.02\", expect_size=\"41505792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.615.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81638400\", alpha=\"0.06\", expect_size=\"32655360\"] \n  1 -> 9 [size =\"32655360\"]\n  1 -> 12 [size =\"32655360\"]\n  1 -> 13 [size =\"32655360\"]\n  2 [size=\"68126720\", alpha=\"0.05\", expect_size=\"27250688\"] \n  2 -> 9 [size =\"27250688\"]\n  2 -> 11 [size =\"27250688\"]\n  2 -> 12 [size =\"27250688\"]\n  2 -> 13 [size =\"27250688\"]\n  3 [size=\"22494720\", alpha=\"0.05\", expect_size=\"8997888\"] \n  3 -> 9 [size =\"8997888\"]\n  3 -> 10 [size =\"8997888\"]\n  3 -> 11 [size =\"8997888\"]\n  3 -> 13 [size =\"8997888\"]\n  3 -> 15 [size =\"8997888\"]\n  4 [size=\"44006400\", alpha=\"0.07\", expect_size=\"17602560\"] \n  4 -> 9 [size =\"17602560\"]\n  4 -> 10 [size =\"17602560\"]\n  4 -> 11 [size =\"17602560\"]\n  4 -> 13 [size =\"17602560\"]\n  4 -> 14 [size =\"17602560\"]\n  4 -> 15 [size =\"17602560\"]\n  5 [size=\"124500480\", alpha=\"0.19\", expect_size=\"49800192\"] \n  5 -> 9 [size =\"49800192\"]\n  5 -> 10 [size =\"49800192\"]\n  5 -> 11 [size =\"49800192\"]\n  5 -> 12 [size =\"49800192\"]\n  5 -> 15 [size =\"49800192\"]\n  6 [size=\"64245760\", alpha=\"0.17\", expect_size=\"25698304\"] \n  6 -> 9 [size =\"25698304\"]\n  6 -> 10 [size =\"25698304\"]\n  6 -> 12 [size =\"25698304\"]\n  6 -> 13 [size =\"25698304\"]\n  7 [size=\"68889600\", alpha=\"0.01\", expect_size=\"27555840\"] \n  7 -> 9 [size =\"27555840\"]\n  7 -> 10 [size =\"27555840\"]\n  7 -> 11 [size =\"27555840\"]\n  7 -> 13 [size =\"27555840\"]\n  8 [size=\"89797120\", alpha=\"0.15\", expect_size=\"35918848\"] \n  8 -> 9 [size =\"35918848\"]\n  8 -> 10 [size =\"35918848\"]\n  8 -> 13 [size =\"35918848\"]\n  8 -> 13 [size =\"35918848\"]\n  8 -> 14 [size =\"35918848\"]\n  8 -> 15 [size =\"35918848\"]\n  9 [size=\"32030720\", alpha=\"0.05\", expect_size=\"12812288\"] \n  9 -> 16 [size =\"12812288\"]\n  10 [size=\"91266560\", alpha=\"0.17\", expect_size=\"36506624\"] \n  10 -> 16 [size =\"36506624\"]\n  10 -> 18 [size =\"36506624\"]\n  10 -> 19 [size =\"36506624\"]\n  11 [size=\"87782400\", alpha=\"0.02\", expect_size=\"35112960\"] \n  11 -> 19 [size =\"35112960\"]\n  12 [size=\"121392640\", alpha=\"0.09\", expect_size=\"48557056\"] \n  12 -> 19 [size =\"48557056\"]\n  13 [size=\"33541120\", alpha=\"0.15\", expect_size=\"13416448\"] \n  13 -> 19 [size =\"13416448\"]\n  14 [size=\"61580800\", alpha=\"0.10\", expect_size=\"24632320\"] \n  14 -> 17 [size =\"24632320\"]\n  15 [size=\"101214720\", alpha=\"0.19\", expect_size=\"40485888\"] \n  15 -> 16 [size =\"40485888\"]\n  15 -> 17 [size =\"40485888\"]\n  16 [size=\"94215680\", alpha=\"0.19\", expect_size=\"37686272\"] \n  16 -> 20 [size =\"37686272\"]\n  16 -> 21 [size =\"37686272\"]\n  16 -> 22 [size =\"37686272\"]\n  16 -> 23 [size =\"37686272\"]\n  16 -> 25 [size =\"37686272\"]\n  17 [size=\"78922240\", alpha=\"0.10\", expect_size=\"31568896\"] \n  17 -> 22 [size =\"31568896\"]\n  17 -> 23 [size =\"31568896\"]\n  17 -> 25 [size =\"31568896\"]\n  18 [size=\"87014400\", alpha=\"0.01\", expect_size=\"34805760\"] \n  18 -> 22 [size =\"34805760\"]\n  18 -> 23 [size =\"34805760\"]\n  18 -> 24 [size =\"34805760\"]\n  19 [size=\"57062400\", alpha=\"0.14\", expect_size=\"22824960\"] \n  19 -> 21 [size =\"22824960\"]\n  19 -> 22 [size =\"22824960\"]\n  19 -> 23 [size =\"22824960\"]\n  20 [size=\"85475840\", alpha=\"0.16\", expect_size=\"34190336\"] \n  20 -> 26 [size =\"34190336\"]\n  20 -> 32 [size =\"34190336\"]\n  21 [size=\"70228480\", alpha=\"0.09\", expect_size=\"28091392\"] \n  21 -> 26 [size =\"28091392\"]\n  21 -> 30 [size =\"28091392\"]\n  22 [size=\"82590720\", alpha=\"0.12\", expect_size=\"33036288\"] \n  22 -> 26 [size =\"33036288\"]\n  22 -> 28 [size =\"33036288\"]\n  23 [size=\"14950400\", alpha=\"0.16\", expect_size=\"5980160\"] \n  23 -> 27 [size =\"5980160\"]\n  23 -> 28 [size =\"5980160\"]\n  23 -> 31 [size =\"5980160\"]\n  24 [size=\"103347200\", alpha=\"0.06\", expect_size=\"41338880\"] \n  24 -> 26 [size =\"41338880\"]\n  24 -> 27 [size =\"41338880\"]\n  24 -> 28 [size =\"41338880\"]\n  24 -> 32 [size =\"41338880\"]\n  25 [size=\"45724160\", alpha=\"0.14\", expect_size=\"18289664\"] \n  25 -> 26 [size =\"18289664\"]\n  25 -> 29 [size =\"18289664\"]\n  25 -> 32 [size =\"18289664\"]\n  26 [size=\"36986880\", alpha=\"0.11\", expect_size=\"14794752\"] \n  26 -> 33 [size =\"14794752\"]\n  26 -> 34 [size =\"14794752\"]\n  26 -> 35 [size =\"14794752\"]\n  27 [size=\"30981120\", alpha=\"0.18\", expect_size=\"12392448\"] \n  27 -> 33 [size =\"12392448\"]\n  27 -> 35 [size =\"12392448\"]\n  28 [size=\"88240640\", alpha=\"0.17\", expect_size=\"35296256\"] \n  28 -> 33 [size =\"35296256\"]\n  28 -> 36 [size =\"35296256\"]\n  29 [size=\"93788160\", alpha=\"0.00\", expect_size=\"37515264\"] \n  29 -> 33 [size =\"37515264\"]\n  29 -> 36 [size =\"37515264\"]\n  29 -> 37 [size =\"37515264\"]\n  30 [size=\"60997120\", alpha=\"0.16\", expect_size=\"24398848\"] \n  30 -> 33 [size =\"24398848\"]\n  30 -> 34 [size =\"24398848\"]\n  30 -> 35 [size =\"24398848\"]\n  30 -> 36 [size =\"24398848\"]\n  31 [size=\"38300160\", alpha=\"0.05\", expect_size=\"15320064\"] \n  31 -> 33 [size =\"15320064\"]\n  31 -> 37 [size =\"15320064\"]\n  31 -> 38 [size =\"15320064\"]\n  32 [size=\"94228480\", alpha=\"0.12\", expect_size=\"37691392\"] \n  32 -> 34 [size =\"37691392\"]\n  32 -> 35 [size =\"37691392\"]\n  32 -> 38 [size =\"37691392\"]\n  33 [size=\"47874560\", alpha=\"0.02\", expect_size=\"19149824\"] \n  33 -> 39 [size =\"19149824\"]\n  33 -> 43 [size =\"19149824\"]\n  33 -> 44 [size =\"19149824\"]\n  33 -> 45 [size =\"19149824\"]\n  34 [size=\"26588160\", alpha=\"0.01\", expect_size=\"10635264\"] \n  34 -> 39 [size =\"10635264\"]\n  34 -> 44 [size =\"10635264\"]\n  34 -> 45 [size =\"10635264\"]\n  35 [size=\"61273600\", alpha=\"0.14\", expect_size=\"24509440\"] \n  35 -> 41 [size =\"24509440\"]\n  35 -> 43 [size =\"24509440\"]\n  35 -> 44 [size =\"24509440\"]\n  35 -> 45 [size =\"24509440\"]\n  36 [size=\"27392000\", alpha=\"0.02\", expect_size=\"10956800\"] \n  36 -> 39 [size =\"10956800\"]\n  36 -> 40 [size =\"10956800\"]\n  36 -> 41 [size =\"10956800\"]\n  36 -> 42 [size =\"10956800\"]\n  36 -> 43 [size =\"10956800\"]\n  36 -> 44 [size =\"10956800\"]\n  36 -> 45 [size =\"10956800\"]\n  37 [size=\"94051840\", alpha=\"0.00\", expect_size=\"37620736\"] \n  37 -> 39 [size =\"37620736\"]\n  37 -> 40 [size =\"37620736\"]\n  37 -> 41 [size =\"37620736\"]\n  37 -> 44 [size =\"37620736\"]\n  37 -> 45 [size =\"37620736\"]\n  38 [size=\"81103360\", alpha=\"0.11\", expect_size=\"32441344\"] \n  38 -> 39 [size =\"32441344\"]\n  38 -> 40 [size =\"32441344\"]\n  38 -> 41 [size =\"32441344\"]\n  38 -> 42 [size =\"32441344\"]\n  38 -> 44 [size =\"32441344\"]\n  38 -> 45 [size =\"32441344\"]\n  39 [size=\"65239040\", alpha=\"0.10\", expect_size=\"26095616\"] \n  39 -> 47 [size =\"26095616\"]\n  39 -> 48 [size =\"26095616\"]\n  40 [size=\"65382400\", alpha=\"0.01\", expect_size=\"26152960\"] \n  40 -> 48 [size =\"26152960\"]\n  40 -> 49 [size =\"26152960\"]\n  41 [size=\"41733120\", alpha=\"0.01\", expect_size=\"16693248\"] \n  41 -> 48 [size =\"16693248\"]\n  41 -> 49 [size =\"16693248\"]\n  41 -> 50 [size =\"16693248\"]\n  42 [size=\"68963840\", alpha=\"0.13\", expect_size=\"27585536\"] \n  42 -> 48 [size =\"27585536\"]\n  42 -> 49 [size =\"27585536\"]\n  42 -> 50 [size =\"27585536\"]\n  43 [size=\"19438080\", alpha=\"0.06\", expect_size=\"7775232\"] \n  43 -> 46 [size =\"7775232\"]\n  43 -> 49 [size =\"7775232\"]\n  43 -> 50 [size =\"7775232\"]\n  44 [size=\"31549440\", alpha=\"0.14\", expect_size=\"12619776\"] \n  45 [size=\"35809280\", alpha=\"0.07\", expect_size=\"14323712\"] \n  45 -> 47 [size =\"14323712\"]\n  45 -> 48 [size =\"14323712\"]\n  45 -> 50 [size =\"14323712\"]\n  46 [size=\"120327680\", alpha=\"0.04\", expect_size=\"48131072\"] \n  47 [size=\"130288640\", alpha=\"0.05\", expect_size=\"52115456\"] \n  48 [size=\"13537280\", alpha=\"0.18\", expect_size=\"5414912\"] \n  49 [size=\"79915520\", alpha=\"0.05\", expect_size=\"31966208\"] \n  50 [size=\"19486720\", alpha=\"0.20\", expect_size=\"7794688\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.616.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36241920\", alpha=\"0.06\", expect_size=\"14496768\"] \n  1 -> 12 [size =\"14496768\"]\n  2 [size=\"106923520\", alpha=\"0.17\", expect_size=\"42769408\"] \n  2 -> 11 [size =\"42769408\"]\n  2 -> 12 [size =\"42769408\"]\n  3 [size=\"80220160\", alpha=\"0.02\", expect_size=\"32088064\"] \n  3 -> 7 [size =\"32088064\"]\n  3 -> 8 [size =\"32088064\"]\n  3 -> 9 [size =\"32088064\"]\n  3 -> 10 [size =\"32088064\"]\n  3 -> 11 [size =\"32088064\"]\n  3 -> 12 [size =\"32088064\"]\n  3 -> 13 [size =\"32088064\"]\n  3 -> 14 [size =\"32088064\"]\n  4 [size=\"107225600\", alpha=\"0.03\", expect_size=\"42890240\"] \n  4 -> 7 [size =\"42890240\"]\n  4 -> 8 [size =\"42890240\"]\n  4 -> 11 [size =\"42890240\"]\n  4 -> 12 [size =\"42890240\"]\n  5 [size=\"24642560\", alpha=\"0.07\", expect_size=\"9857024\"] \n  5 -> 10 [size =\"9857024\"]\n  6 [size=\"35064320\", alpha=\"0.17\", expect_size=\"14025728\"] \n  6 -> 7 [size =\"14025728\"]\n  7 [size=\"60835840\", alpha=\"0.05\", expect_size=\"24334336\"] \n  7 -> 15 [size =\"24334336\"]\n  7 -> 16 [size =\"24334336\"]\n  7 -> 17 [size =\"24334336\"]\n  7 -> 18 [size =\"24334336\"]\n  7 -> 19 [size =\"24334336\"]\n  7 -> 20 [size =\"24334336\"]\n  8 [size=\"106536960\", alpha=\"0.13\", expect_size=\"42614784\"] \n  8 -> 15 [size =\"42614784\"]\n  8 -> 17 [size =\"42614784\"]\n  9 [size=\"87516160\", alpha=\"0.16\", expect_size=\"35006464\"] \n  9 -> 15 [size =\"35006464\"]\n  9 -> 17 [size =\"35006464\"]\n  9 -> 18 [size =\"35006464\"]\n  9 -> 19 [size =\"35006464\"]\n  9 -> 20 [size =\"35006464\"]\n  10 [size=\"72501760\", alpha=\"0.03\", expect_size=\"29000704\"] \n  10 -> 15 [size =\"29000704\"]\n  10 -> 17 [size =\"29000704\"]\n  10 -> 18 [size =\"29000704\"]\n  10 -> 19 [size =\"29000704\"]\n  10 -> 20 [size =\"29000704\"]\n  11 [size=\"79971840\", alpha=\"0.01\", expect_size=\"31988736\"] \n  11 -> 17 [size =\"31988736\"]\n  11 -> 18 [size =\"31988736\"]\n  11 -> 18 [size =\"31988736\"]\n  11 -> 19 [size =\"31988736\"]\n  11 -> 20 [size =\"31988736\"]\n  12 [size=\"116180480\", alpha=\"0.13\", expect_size=\"46472192\"] \n  12 -> 18 [size =\"46472192\"]\n  12 -> 18 [size =\"46472192\"]\n  13 [size=\"99929600\", alpha=\"0.18\", expect_size=\"39971840\"] \n  13 -> 15 [size =\"39971840\"]\n  13 -> 16 [size =\"39971840\"]\n  13 -> 17 [size =\"39971840\"]\n  13 -> 19 [size =\"39971840\"]\n  13 -> 20 [size =\"39971840\"]\n  13 -> 21 [size =\"39971840\"]\n  14 [size=\"112279040\", alpha=\"0.01\", expect_size=\"44911616\"] \n  14 -> 17 [size =\"44911616\"]\n  14 -> 18 [size =\"44911616\"]\n  14 -> 19 [size =\"44911616\"]\n  14 -> 19 [size =\"44911616\"]\n  14 -> 20 [size =\"44911616\"]\n  15 [size=\"13644800\", alpha=\"0.02\", expect_size=\"5457920\"] \n  15 -> 22 [size =\"5457920\"]\n  15 -> 23 [size =\"5457920\"]\n  15 -> 24 [size =\"5457920\"]\n  15 -> 25 [size =\"5457920\"]\n  16 [size=\"55045120\", alpha=\"0.12\", expect_size=\"22018048\"] \n  16 -> 22 [size =\"22018048\"]\n  16 -> 23 [size =\"22018048\"]\n  16 -> 24 [size =\"22018048\"]\n  16 -> 25 [size =\"22018048\"]\n  16 -> 26 [size =\"22018048\"]\n  17 [size=\"35481600\", alpha=\"0.00\", expect_size=\"14192640\"] \n  17 -> 22 [size =\"14192640\"]\n  17 -> 24 [size =\"14192640\"]\n  17 -> 24 [size =\"14192640\"]\n  17 -> 26 [size =\"14192640\"]\n  18 [size=\"66091520\", alpha=\"0.17\", expect_size=\"26436608\"] \n  18 -> 22 [size =\"26436608\"]\n  18 -> 23 [size =\"26436608\"]\n  18 -> 24 [size =\"26436608\"]\n  18 -> 26 [size =\"26436608\"]\n  19 [size=\"25326080\", alpha=\"0.07\", expect_size=\"10130432\"] \n  19 -> 22 [size =\"10130432\"]\n  19 -> 26 [size =\"10130432\"]\n  20 [size=\"118556160\", alpha=\"0.15\", expect_size=\"47422464\"] \n  20 -> 24 [size =\"47422464\"]\n  20 -> 26 [size =\"47422464\"]\n  21 [size=\"17510400\", alpha=\"0.06\", expect_size=\"7004160\"] \n  21 -> 22 [size =\"7004160\"]\n  21 -> 26 [size =\"7004160\"]\n  22 [size=\"23211520\", alpha=\"0.14\", expect_size=\"9284608\"] \n  22 -> 27 [size =\"9284608\"]\n  22 -> 30 [size =\"9284608\"]\n  22 -> 31 [size =\"9284608\"]\n  22 -> 33 [size =\"9284608\"]\n  22 -> 34 [size =\"9284608\"]\n  23 [size=\"102809600\", alpha=\"0.12\", expect_size=\"41123840\"] \n  23 -> 29 [size =\"41123840\"]\n  23 -> 30 [size =\"41123840\"]\n  23 -> 31 [size =\"41123840\"]\n  23 -> 32 [size =\"41123840\"]\n  24 [size=\"93309440\", alpha=\"0.07\", expect_size=\"37323776\"] \n  24 -> 27 [size =\"37323776\"]\n  24 -> 29 [size =\"37323776\"]\n  24 -> 30 [size =\"37323776\"]\n  24 -> 33 [size =\"37323776\"]\n  25 [size=\"101762560\", alpha=\"0.04\", expect_size=\"40705024\"] \n  25 -> 31 [size =\"40705024\"]\n  25 -> 33 [size =\"40705024\"]\n  26 [size=\"113474560\", alpha=\"0.04\", expect_size=\"45389824\"] \n  26 -> 28 [size =\"45389824\"]\n  26 -> 31 [size =\"45389824\"]\n  26 -> 32 [size =\"45389824\"]\n  26 -> 34 [size =\"45389824\"]\n  27 [size=\"64860160\", alpha=\"0.13\", expect_size=\"25944064\"] \n  27 -> 35 [size =\"25944064\"]\n  27 -> 39 [size =\"25944064\"]\n  27 -> 40 [size =\"25944064\"]\n  27 -> 41 [size =\"25944064\"]\n  28 [size=\"67601920\", alpha=\"0.17\", expect_size=\"27040768\"] \n  28 -> 35 [size =\"27040768\"]\n  28 -> 36 [size =\"27040768\"]\n  28 -> 37 [size =\"27040768\"]\n  28 -> 40 [size =\"27040768\"]\n  28 -> 41 [size =\"27040768\"]\n  28 -> 42 [size =\"27040768\"]\n  29 [size=\"47226880\", alpha=\"0.14\", expect_size=\"18890752\"] \n  29 -> 35 [size =\"18890752\"]\n  29 -> 36 [size =\"18890752\"]\n  29 -> 37 [size =\"18890752\"]\n  29 -> 38 [size =\"18890752\"]\n  29 -> 39 [size =\"18890752\"]\n  29 -> 40 [size =\"18890752\"]\n  29 -> 41 [size =\"18890752\"]\n  29 -> 42 [size =\"18890752\"]\n  30 [size=\"88832000\", alpha=\"0.02\", expect_size=\"35532800\"] \n  30 -> 36 [size =\"35532800\"]\n  30 -> 36 [size =\"35532800\"]\n  30 -> 38 [size =\"35532800\"]\n  30 -> 39 [size =\"35532800\"]\n  30 -> 40 [size =\"35532800\"]\n  30 -> 40 [size =\"35532800\"]\n  30 -> 41 [size =\"35532800\"]\n  30 -> 42 [size =\"35532800\"]\n  31 [size=\"57420800\", alpha=\"0.20\", expect_size=\"22968320\"] \n  31 -> 35 [size =\"22968320\"]\n  31 -> 36 [size =\"22968320\"]\n  31 -> 37 [size =\"22968320\"]\n  31 -> 38 [size =\"22968320\"]\n  31 -> 41 [size =\"22968320\"]\n  31 -> 42 [size =\"22968320\"]\n  32 [size=\"94095360\", alpha=\"0.16\", expect_size=\"37638144\"] \n  32 -> 36 [size =\"37638144\"]\n  32 -> 36 [size =\"37638144\"]\n  32 -> 38 [size =\"37638144\"]\n  32 -> 38 [size =\"37638144\"]\n  32 -> 40 [size =\"37638144\"]\n  32 -> 41 [size =\"37638144\"]\n  32 -> 42 [size =\"37638144\"]\n  33 [size=\"56737280\", alpha=\"0.06\", expect_size=\"22694912\"] \n  33 -> 37 [size =\"22694912\"]\n  33 -> 38 [size =\"22694912\"]\n  33 -> 38 [size =\"22694912\"]\n  33 -> 40 [size =\"22694912\"]\n  33 -> 42 [size =\"22694912\"]\n  34 [size=\"130429440\", alpha=\"0.14\", expect_size=\"52171776\"] \n  34 -> 37 [size =\"52171776\"]\n  34 -> 38 [size =\"52171776\"]\n  34 -> 42 [size =\"52171776\"]\n  35 [size=\"55393280\", alpha=\"0.01\", expect_size=\"22157312\"] \n  35 -> 47 [size =\"22157312\"]\n  36 [size=\"79098880\", alpha=\"0.16\", expect_size=\"31639552\"] \n  36 -> 45 [size =\"31639552\"]\n  36 -> 48 [size =\"31639552\"]\n  37 [size=\"105538560\", alpha=\"0.14\", expect_size=\"42215424\"] \n  37 -> 43 [size =\"42215424\"]\n  37 -> 44 [size =\"42215424\"]\n  37 -> 46 [size =\"42215424\"]\n  37 -> 48 [size =\"42215424\"]\n  38 [size=\"64478720\", alpha=\"0.02\", expect_size=\"25791488\"] \n  38 -> 44 [size =\"25791488\"]\n  38 -> 46 [size =\"25791488\"]\n  39 [size=\"49346560\", alpha=\"0.11\", expect_size=\"19738624\"] \n  39 -> 45 [size =\"19738624\"]\n  39 -> 48 [size =\"19738624\"]\n  40 [size=\"16591360\", alpha=\"0.19\", expect_size=\"6636544\"] \n  40 -> 44 [size =\"6636544\"]\n  40 -> 45 [size =\"6636544\"]\n  40 -> 46 [size =\"6636544\"]\n  41 [size=\"25607680\", alpha=\"0.07\", expect_size=\"10243072\"] \n  41 -> 43 [size =\"10243072\"]\n  41 -> 44 [size =\"10243072\"]\n  41 -> 45 [size =\"10243072\"]\n  41 -> 47 [size =\"10243072\"]\n  41 -> 48 [size =\"10243072\"]\n  42 [size=\"25295360\", alpha=\"0.17\", expect_size=\"10118144\"] \n  42 -> 44 [size =\"10118144\"]\n  42 -> 45 [size =\"10118144\"]\n  42 -> 48 [size =\"10118144\"]\n  43 [size=\"118730240\", alpha=\"0.02\", expect_size=\"47492096\"] \n  43 -> 49 [size =\"47492096\"]\n  43 -> 50 [size =\"47492096\"]\n  44 [size=\"38840320\", alpha=\"0.00\", expect_size=\"15536128\"] \n  44 -> 49 [size =\"15536128\"]\n  44 -> 50 [size =\"15536128\"]\n  45 [size=\"120729600\", alpha=\"0.14\", expect_size=\"48291840\"] \n  45 -> 49 [size =\"48291840\"]\n  45 -> 50 [size =\"48291840\"]\n  46 [size=\"129008640\", alpha=\"0.05\", expect_size=\"51603456\"] \n  46 -> 49 [size =\"51603456\"]\n  46 -> 50 [size =\"51603456\"]\n  47 [size=\"105615360\", alpha=\"0.04\", expect_size=\"42246144\"] \n  47 -> 49 [size =\"42246144\"]\n  48 [size=\"72926720\", alpha=\"0.13\", expect_size=\"29170688\"] \n  48 -> 49 [size =\"29170688\"]\n  48 -> 50 [size =\"29170688\"]\n  49 [size=\"83924480\", alpha=\"0.07\", expect_size=\"33569792\"] \n  50 [size=\"32865280\", alpha=\"0.15\", expect_size=\"13146112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.617.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86142976\", alpha=\"0.06\", expect_size=\"43071488\"] \n  1 -> 9 [size =\"43071488\"]\n  1 -> 10 [size =\"43071488\"]\n  1 -> 12 [size =\"43071488\"]\n  2 [size=\"21125120\", alpha=\"0.09\", expect_size=\"10562560\"] \n  2 -> 12 [size =\"10562560\"]\n  3 [size=\"61894656\", alpha=\"0.09\", expect_size=\"30947328\"] \n  3 -> 7 [size =\"30947328\"]\n  3 -> 8 [size =\"30947328\"]\n  4 [size=\"87660544\", alpha=\"0.10\", expect_size=\"43830272\"] \n  4 -> 8 [size =\"43830272\"]\n  4 -> 12 [size =\"43830272\"]\n  5 [size=\"32430080\", alpha=\"0.15\", expect_size=\"16215040\"] \n  5 -> 7 [size =\"16215040\"]\n  5 -> 8 [size =\"16215040\"]\n  5 -> 9 [size =\"16215040\"]\n  6 [size=\"97011712\", alpha=\"0.06\", expect_size=\"48505856\"] \n  6 -> 8 [size =\"48505856\"]\n  6 -> 9 [size =\"48505856\"]\n  6 -> 11 [size =\"48505856\"]\n  6 -> 12 [size =\"48505856\"]\n  7 [size=\"39823360\", alpha=\"0.19\", expect_size=\"19911680\"] \n  7 -> 13 [size =\"19911680\"]\n  7 -> 15 [size =\"19911680\"]\n  7 -> 19 [size =\"19911680\"]\n  8 [size=\"95840256\", alpha=\"0.01\", expect_size=\"47920128\"] \n  8 -> 15 [size =\"47920128\"]\n  9 [size=\"16820224\", alpha=\"0.06\", expect_size=\"8410112\"] \n  9 -> 15 [size =\"8410112\"]\n  9 -> 16 [size =\"8410112\"]\n  9 -> 17 [size =\"8410112\"]\n  9 -> 18 [size =\"8410112\"]\n  10 [size=\"86491136\", alpha=\"0.08\", expect_size=\"43245568\"] \n  10 -> 13 [size =\"43245568\"]\n  10 -> 14 [size =\"43245568\"]\n  10 -> 15 [size =\"43245568\"]\n  10 -> 16 [size =\"43245568\"]\n  11 [size=\"53508096\", alpha=\"0.09\", expect_size=\"26754048\"] \n  11 -> 14 [size =\"26754048\"]\n  11 -> 14 [size =\"26754048\"]\n  11 -> 16 [size =\"26754048\"]\n  11 -> 16 [size =\"26754048\"]\n  11 -> 17 [size =\"26754048\"]\n  12 [size=\"83953664\", alpha=\"0.08\", expect_size=\"41976832\"] \n  12 -> 14 [size =\"41976832\"]\n  12 -> 16 [size =\"41976832\"]\n  12 -> 17 [size =\"41976832\"]\n  13 [size=\"33187840\", alpha=\"0.01\", expect_size=\"16593920\"] \n  13 -> 23 [size =\"16593920\"]\n  14 [size=\"76937216\", alpha=\"0.02\", expect_size=\"38468608\"] \n  14 -> 20 [size =\"38468608\"]\n  14 -> 24 [size =\"38468608\"]\n  15 [size=\"28104704\", alpha=\"0.04\", expect_size=\"14052352\"] \n  15 -> 22 [size =\"14052352\"]\n  16 [size=\"98951168\", alpha=\"0.03\", expect_size=\"49475584\"] \n  16 -> 22 [size =\"49475584\"]\n  16 -> 23 [size =\"49475584\"]\n  16 -> 25 [size =\"49475584\"]\n  17 [size=\"31553536\", alpha=\"0.09\", expect_size=\"15776768\"] \n  17 -> 22 [size =\"15776768\"]\n  18 [size=\"25530368\", alpha=\"0.19\", expect_size=\"12765184\"] \n  18 -> 21 [size =\"12765184\"]\n  18 -> 22 [size =\"12765184\"]\n  18 -> 23 [size =\"12765184\"]\n  19 [size=\"29876224\", alpha=\"0.06\", expect_size=\"14938112\"] \n  19 -> 23 [size =\"14938112\"]\n  20 [size=\"60057600\", alpha=\"0.19\", expect_size=\"30028800\"] \n  20 -> 26 [size =\"30028800\"]\n  20 -> 28 [size =\"30028800\"]\n  20 -> 29 [size =\"30028800\"]\n  20 -> 30 [size =\"30028800\"]\n  21 [size=\"97050624\", alpha=\"0.08\", expect_size=\"48525312\"] \n  21 -> 27 [size =\"48525312\"]\n  21 -> 29 [size =\"48525312\"]\n  21 -> 31 [size =\"48525312\"]\n  22 [size=\"46325760\", alpha=\"0.19\", expect_size=\"23162880\"] \n  22 -> 27 [size =\"23162880\"]\n  22 -> 30 [size =\"23162880\"]\n  23 [size=\"82835456\", alpha=\"0.01\", expect_size=\"41417728\"] \n  23 -> 26 [size =\"41417728\"]\n  23 -> 27 [size =\"41417728\"]\n  23 -> 30 [size =\"41417728\"]\n  23 -> 32 [size =\"41417728\"]\n  24 [size=\"87072768\", alpha=\"0.19\", expect_size=\"43536384\"] \n  24 -> 27 [size =\"43536384\"]\n  24 -> 30 [size =\"43536384\"]\n  25 [size=\"94269440\", alpha=\"0.02\", expect_size=\"47134720\"] \n  26 [size=\"19085312\", alpha=\"0.03\", expect_size=\"9542656\"] \n  27 [size=\"32290816\", alpha=\"0.10\", expect_size=\"16145408\"] \n  27 -> 33 [size =\"16145408\"]\n  27 -> 37 [size =\"16145408\"]\n  27 -> 38 [size =\"16145408\"]\n  28 [size=\"74997760\", alpha=\"0.16\", expect_size=\"37498880\"] \n  28 -> 34 [size =\"37498880\"]\n  28 -> 35 [size =\"37498880\"]\n  28 -> 36 [size =\"37498880\"]\n  28 -> 37 [size =\"37498880\"]\n  29 [size=\"72325120\", alpha=\"0.03\", expect_size=\"36162560\"] \n  29 -> 34 [size =\"36162560\"]\n  29 -> 37 [size =\"36162560\"]\n  29 -> 38 [size =\"36162560\"]\n  30 [size=\"101926912\", alpha=\"0.06\", expect_size=\"50963456\"] \n  30 -> 34 [size =\"50963456\"]\n  30 -> 37 [size =\"50963456\"]\n  30 -> 38 [size =\"50963456\"]\n  31 [size=\"97052672\", alpha=\"0.18\", expect_size=\"48526336\"] \n  31 -> 33 [size =\"48526336\"]\n  31 -> 34 [size =\"48526336\"]\n  31 -> 37 [size =\"48526336\"]\n  32 [size=\"38989824\", alpha=\"0.05\", expect_size=\"19494912\"] \n  32 -> 33 [size =\"19494912\"]\n  32 -> 34 [size =\"19494912\"]\n  32 -> 36 [size =\"19494912\"]\n  33 [size=\"32749568\", alpha=\"0.18\", expect_size=\"16374784\"] \n  33 -> 39 [size =\"16374784\"]\n  33 -> 42 [size =\"16374784\"]\n  33 -> 43 [size =\"16374784\"]\n  34 [size=\"35371008\", alpha=\"0.05\", expect_size=\"17685504\"] \n  34 -> 40 [size =\"17685504\"]\n  35 [size=\"29659136\", alpha=\"0.15\", expect_size=\"14829568\"] \n  35 -> 40 [size =\"14829568\"]\n  36 [size=\"37558272\", alpha=\"0.04\", expect_size=\"18779136\"] \n  36 -> 40 [size =\"18779136\"]\n  36 -> 43 [size =\"18779136\"]\n  37 [size=\"51224576\", alpha=\"0.17\", expect_size=\"25612288\"] \n  37 -> 40 [size =\"25612288\"]\n  37 -> 44 [size =\"25612288\"]\n  38 [size=\"99995648\", alpha=\"0.14\", expect_size=\"49997824\"] \n  38 -> 41 [size =\"49997824\"]\n  38 -> 43 [size =\"49997824\"]\n  39 [size=\"80482304\", alpha=\"0.15\", expect_size=\"40241152\"] \n  39 -> 48 [size =\"40241152\"]\n  39 -> 50 [size =\"40241152\"]\n  40 [size=\"93392896\", alpha=\"0.06\", expect_size=\"46696448\"] \n  40 -> 45 [size =\"46696448\"]\n  40 -> 49 [size =\"46696448\"]\n  40 -> 50 [size =\"46696448\"]\n  41 [size=\"25991168\", alpha=\"0.16\", expect_size=\"12995584\"] \n  41 -> 45 [size =\"12995584\"]\n  41 -> 50 [size =\"12995584\"]\n  42 [size=\"15669248\", alpha=\"0.13\", expect_size=\"7834624\"] \n  42 -> 45 [size =\"7834624\"]\n  42 -> 46 [size =\"7834624\"]\n  42 -> 47 [size =\"7834624\"]\n  43 [size=\"41527296\", alpha=\"0.06\", expect_size=\"20763648\"] \n  43 -> 45 [size =\"20763648\"]\n  43 -> 49 [size =\"20763648\"]\n  44 [size=\"31897600\", alpha=\"0.15\", expect_size=\"15948800\"] \n  44 -> 47 [size =\"15948800\"]\n  45 [size=\"53227520\", alpha=\"0.01\", expect_size=\"26613760\"] \n  46 [size=\"28772352\", alpha=\"0.09\", expect_size=\"14386176\"] \n  47 [size=\"46993408\", alpha=\"0.03\", expect_size=\"23496704\"] \n  48 [size=\"34590720\", alpha=\"0.09\", expect_size=\"17295360\"] \n  49 [size=\"100980736\", alpha=\"0.09\", expect_size=\"50490368\"] \n  50 [size=\"76810240\", alpha=\"0.08\", expect_size=\"38405120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.618.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84689920\", alpha=\"0.06\", expect_size=\"33875968\"] \n  1 -> 14 [size =\"33875968\"]\n  1 -> 16 [size =\"33875968\"]\n  1 -> 19 [size =\"33875968\"]\n  1 -> 24 [size =\"33875968\"]\n  1 -> 27 [size =\"33875968\"]\n  2 [size=\"41548800\", alpha=\"0.15\", expect_size=\"16619520\"] \n  2 -> 17 [size =\"16619520\"]\n  2 -> 21 [size =\"16619520\"]\n  2 -> 24 [size =\"16619520\"]\n  3 [size=\"112453120\", alpha=\"0.05\", expect_size=\"44981248\"] \n  3 -> 14 [size =\"44981248\"]\n  3 -> 17 [size =\"44981248\"]\n  3 -> 24 [size =\"44981248\"]\n  3 -> 25 [size =\"44981248\"]\n  3 -> 27 [size =\"44981248\"]\n  4 [size=\"79907840\", alpha=\"0.12\", expect_size=\"31963136\"] \n  4 -> 15 [size =\"31963136\"]\n  4 -> 16 [size =\"31963136\"]\n  4 -> 18 [size =\"31963136\"]\n  4 -> 20 [size =\"31963136\"]\n  4 -> 21 [size =\"31963136\"]\n  4 -> 24 [size =\"31963136\"]\n  4 -> 25 [size =\"31963136\"]\n  5 [size=\"110730240\", alpha=\"0.18\", expect_size=\"44292096\"] \n  5 -> 16 [size =\"44292096\"]\n  5 -> 18 [size =\"44292096\"]\n  5 -> 25 [size =\"44292096\"]\n  5 -> 26 [size =\"44292096\"]\n  6 [size=\"49331200\", alpha=\"0.15\", expect_size=\"19732480\"] \n  6 -> 16 [size =\"19732480\"]\n  6 -> 17 [size =\"19732480\"]\n  6 -> 19 [size =\"19732480\"]\n  6 -> 20 [size =\"19732480\"]\n  6 -> 22 [size =\"19732480\"]\n  6 -> 26 [size =\"19732480\"]\n  7 [size=\"31659520\", alpha=\"0.18\", expect_size=\"12663808\"] \n  7 -> 17 [size =\"12663808\"]\n  7 -> 20 [size =\"12663808\"]\n  7 -> 23 [size =\"12663808\"]\n  7 -> 25 [size =\"12663808\"]\n  8 [size=\"42055680\", alpha=\"0.04\", expect_size=\"16822272\"] \n  8 -> 17 [size =\"16822272\"]\n  8 -> 19 [size =\"16822272\"]\n  8 -> 20 [size =\"16822272\"]\n  8 -> 21 [size =\"16822272\"]\n  9 [size=\"27527680\", alpha=\"0.15\", expect_size=\"11011072\"] \n  9 -> 15 [size =\"11011072\"]\n  9 -> 19 [size =\"11011072\"]\n  9 -> 22 [size =\"11011072\"]\n  9 -> 25 [size =\"11011072\"]\n  9 -> 26 [size =\"11011072\"]\n  9 -> 27 [size =\"11011072\"]\n  10 [size=\"66053120\", alpha=\"0.04\", expect_size=\"26421248\"] \n  10 -> 14 [size =\"26421248\"]\n  10 -> 20 [size =\"26421248\"]\n  10 -> 24 [size =\"26421248\"]\n  10 -> 27 [size =\"26421248\"]\n  11 [size=\"55897600\", alpha=\"0.08\", expect_size=\"22359040\"] \n  11 -> 14 [size =\"22359040\"]\n  11 -> 19 [size =\"22359040\"]\n  11 -> 20 [size =\"22359040\"]\n  11 -> 21 [size =\"22359040\"]\n  11 -> 24 [size =\"22359040\"]\n  11 -> 27 [size =\"22359040\"]\n  12 [size=\"90588160\", alpha=\"0.07\", expect_size=\"36235264\"] \n  12 -> 16 [size =\"36235264\"]\n  12 -> 19 [size =\"36235264\"]\n  12 -> 20 [size =\"36235264\"]\n  12 -> 21 [size =\"36235264\"]\n  12 -> 24 [size =\"36235264\"]\n  12 -> 25 [size =\"36235264\"]\n  12 -> 26 [size =\"36235264\"]\n  12 -> 27 [size =\"36235264\"]\n  13 [size=\"59883520\", alpha=\"0.15\", expect_size=\"23953408\"] \n  13 -> 16 [size =\"23953408\"]\n  13 -> 17 [size =\"23953408\"]\n  13 -> 19 [size =\"23953408\"]\n  13 -> 20 [size =\"23953408\"]\n  13 -> 21 [size =\"23953408\"]\n  13 -> 24 [size =\"23953408\"]\n  13 -> 25 [size =\"23953408\"]\n  13 -> 27 [size =\"23953408\"]\n  14 [size=\"86635520\", alpha=\"0.06\", expect_size=\"34654208\"] \n  14 -> 29 [size =\"34654208\"]\n  14 -> 30 [size =\"34654208\"]\n  14 -> 31 [size =\"34654208\"]\n  14 -> 33 [size =\"34654208\"]\n  14 -> 34 [size =\"34654208\"]\n  14 -> 36 [size =\"34654208\"]\n  14 -> 37 [size =\"34654208\"]\n  14 -> 39 [size =\"34654208\"]\n  14 -> 40 [size =\"34654208\"]\n  14 -> 41 [size =\"34654208\"]\n  15 [size=\"36746240\", alpha=\"0.03\", expect_size=\"14698496\"] \n  15 -> 30 [size =\"14698496\"]\n  15 -> 36 [size =\"14698496\"]\n  15 -> 37 [size =\"14698496\"]\n  15 -> 39 [size =\"14698496\"]\n  16 [size=\"27023360\", alpha=\"0.00\", expect_size=\"10809344\"] \n  16 -> 29 [size =\"10809344\"]\n  16 -> 30 [size =\"10809344\"]\n  16 -> 32 [size =\"10809344\"]\n  16 -> 33 [size =\"10809344\"]\n  16 -> 34 [size =\"10809344\"]\n  16 -> 36 [size =\"10809344\"]\n  16 -> 37 [size =\"10809344\"]\n  17 [size=\"113776640\", alpha=\"0.14\", expect_size=\"45510656\"] \n  17 -> 29 [size =\"45510656\"]\n  17 -> 30 [size =\"45510656\"]\n  17 -> 31 [size =\"45510656\"]\n  17 -> 32 [size =\"45510656\"]\n  17 -> 35 [size =\"45510656\"]\n  17 -> 36 [size =\"45510656\"]\n  17 -> 37 [size =\"45510656\"]\n  17 -> 38 [size =\"45510656\"]\n  18 [size=\"101475840\", alpha=\"0.18\", expect_size=\"40590336\"] \n  18 -> 29 [size =\"40590336\"]\n  18 -> 30 [size =\"40590336\"]\n  18 -> 32 [size =\"40590336\"]\n  18 -> 33 [size =\"40590336\"]\n  18 -> 37 [size =\"40590336\"]\n  18 -> 38 [size =\"40590336\"]\n  18 -> 41 [size =\"40590336\"]\n  19 [size=\"125491200\", alpha=\"0.09\", expect_size=\"50196480\"] \n  19 -> 29 [size =\"50196480\"]\n  19 -> 30 [size =\"50196480\"]\n  19 -> 31 [size =\"50196480\"]\n  19 -> 32 [size =\"50196480\"]\n  19 -> 33 [size =\"50196480\"]\n  19 -> 36 [size =\"50196480\"]\n  19 -> 37 [size =\"50196480\"]\n  20 [size=\"96151040\", alpha=\"0.09\", expect_size=\"38460416\"] \n  20 -> 28 [size =\"38460416\"]\n  20 -> 29 [size =\"38460416\"]\n  20 -> 31 [size =\"38460416\"]\n  20 -> 33 [size =\"38460416\"]\n  20 -> 33 [size =\"38460416\"]\n  20 -> 36 [size =\"38460416\"]\n  21 [size=\"117322240\", alpha=\"0.02\", expect_size=\"46928896\"] \n  21 -> 29 [size =\"46928896\"]\n  21 -> 29 [size =\"46928896\"]\n  21 -> 31 [size =\"46928896\"]\n  21 -> 34 [size =\"46928896\"]\n  22 [size=\"48186880\", alpha=\"0.19\", expect_size=\"19274752\"] \n  22 -> 30 [size =\"19274752\"]\n  22 -> 31 [size =\"19274752\"]\n  22 -> 31 [size =\"19274752\"]\n  22 -> 36 [size =\"19274752\"]\n  22 -> 39 [size =\"19274752\"]\n  23 [size=\"86745600\", alpha=\"0.14\", expect_size=\"34698240\"] \n  23 -> 28 [size =\"34698240\"]\n  23 -> 29 [size =\"34698240\"]\n  23 -> 31 [size =\"34698240\"]\n  23 -> 34 [size =\"34698240\"]\n  23 -> 36 [size =\"34698240\"]\n  23 -> 39 [size =\"34698240\"]\n  24 [size=\"58880000\", alpha=\"0.19\", expect_size=\"23552000\"] \n  24 -> 30 [size =\"23552000\"]\n  24 -> 31 [size =\"23552000\"]\n  24 -> 32 [size =\"23552000\"]\n  24 -> 34 [size =\"23552000\"]\n  24 -> 36 [size =\"23552000\"]\n  24 -> 39 [size =\"23552000\"]\n  25 [size=\"93352960\", alpha=\"0.01\", expect_size=\"37341184\"] \n  25 -> 39 [size =\"37341184\"]\n  26 [size=\"109780480\", alpha=\"0.10\", expect_size=\"43912192\"] \n  26 -> 34 [size =\"43912192\"]\n  26 -> 36 [size =\"43912192\"]\n  26 -> 37 [size =\"43912192\"]\n  27 [size=\"111838720\", alpha=\"0.01\", expect_size=\"44735488\"] \n  27 -> 29 [size =\"44735488\"]\n  27 -> 33 [size =\"44735488\"]\n  27 -> 34 [size =\"44735488\"]\n  27 -> 37 [size =\"44735488\"]\n  27 -> 41 [size =\"44735488\"]\n  28 [size=\"73827840\", alpha=\"0.17\", expect_size=\"29531136\"] \n  28 -> 43 [size =\"29531136\"]\n  28 -> 45 [size =\"29531136\"]\n  28 -> 46 [size =\"29531136\"]\n  28 -> 48 [size =\"29531136\"]\n  29 [size=\"63178240\", alpha=\"0.16\", expect_size=\"25271296\"] \n  29 -> 42 [size =\"25271296\"]\n  29 -> 45 [size =\"25271296\"]\n  29 -> 46 [size =\"25271296\"]\n  29 -> 48 [size =\"25271296\"]\n  30 [size=\"115527680\", alpha=\"0.04\", expect_size=\"46211072\"] \n  30 -> 44 [size =\"46211072\"]\n  30 -> 45 [size =\"46211072\"]\n  31 [size=\"52659200\", alpha=\"0.19\", expect_size=\"21063680\"] \n  31 -> 45 [size =\"21063680\"]\n  31 -> 46 [size =\"21063680\"]\n  31 -> 48 [size =\"21063680\"]\n  32 [size=\"64122880\", alpha=\"0.07\", expect_size=\"25649152\"] \n  32 -> 42 [size =\"25649152\"]\n  32 -> 45 [size =\"25649152\"]\n  33 [size=\"60395520\", alpha=\"0.03\", expect_size=\"24158208\"] \n  33 -> 42 [size =\"24158208\"]\n  33 -> 44 [size =\"24158208\"]\n  33 -> 45 [size =\"24158208\"]\n  33 -> 48 [size =\"24158208\"]\n  34 [size=\"22858240\", alpha=\"0.12\", expect_size=\"9143296\"] \n  34 -> 47 [size =\"9143296\"]\n  34 -> 50 [size =\"9143296\"]\n  35 [size=\"18311680\", alpha=\"0.04\", expect_size=\"7324672\"] \n  35 -> 42 [size =\"7324672\"]\n  35 -> 46 [size =\"7324672\"]\n  36 [size=\"26419200\", alpha=\"0.19\", expect_size=\"10567680\"] \n  36 -> 42 [size =\"10567680\"]\n  37 [size=\"83402240\", alpha=\"0.11\", expect_size=\"33360896\"] \n  37 -> 46 [size =\"33360896\"]\n  37 -> 47 [size =\"33360896\"]\n  37 -> 48 [size =\"33360896\"]\n  38 [size=\"89850880\", alpha=\"0.18\", expect_size=\"35940352\"] \n  38 -> 46 [size =\"35940352\"]\n  38 -> 48 [size =\"35940352\"]\n  38 -> 49 [size =\"35940352\"]\n  39 [size=\"74713600\", alpha=\"0.04\", expect_size=\"29885440\"] \n  39 -> 46 [size =\"29885440\"]\n  39 -> 48 [size =\"29885440\"]\n  40 [size=\"52413440\", alpha=\"0.04\", expect_size=\"20965376\"] \n  40 -> 45 [size =\"20965376\"]\n  40 -> 47 [size =\"20965376\"]\n  40 -> 49 [size =\"20965376\"]\n  41 [size=\"75898880\", alpha=\"0.02\", expect_size=\"30359552\"] \n  41 -> 43 [size =\"30359552\"]\n  41 -> 44 [size =\"30359552\"]\n  41 -> 45 [size =\"30359552\"]\n  41 -> 46 [size =\"30359552\"]\n  41 -> 50 [size =\"30359552\"]\n  42 [size=\"69995520\", alpha=\"0.06\", expect_size=\"27998208\"] \n  43 [size=\"112186880\", alpha=\"0.02\", expect_size=\"44874752\"] \n  44 [size=\"13319680\", alpha=\"0.06\", expect_size=\"5327872\"] \n  45 [size=\"82854400\", alpha=\"0.04\", expect_size=\"33141760\"] \n  46 [size=\"108497920\", alpha=\"0.18\", expect_size=\"43399168\"] \n  47 [size=\"104171520\", alpha=\"0.08\", expect_size=\"41668608\"] \n  48 [size=\"52577280\", alpha=\"0.09\", expect_size=\"21030912\"] \n  49 [size=\"42086400\", alpha=\"0.19\", expect_size=\"16834560\"] \n  50 [size=\"67120640\", alpha=\"0.06\", expect_size=\"26848256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.619.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102129664\", alpha=\"0.10\", expect_size=\"51064832\"] \n  1 -> 12 [size =\"51064832\"]\n  1 -> 16 [size =\"51064832\"]\n  1 -> 19 [size =\"51064832\"]\n  1 -> 22 [size =\"51064832\"]\n  2 [size=\"41324544\", alpha=\"0.08\", expect_size=\"20662272\"] \n  2 -> 14 [size =\"20662272\"]\n  2 -> 15 [size =\"20662272\"]\n  2 -> 19 [size =\"20662272\"]\n  2 -> 20 [size =\"20662272\"]\n  2 -> 22 [size =\"20662272\"]\n  3 [size=\"44089344\", alpha=\"0.11\", expect_size=\"22044672\"] \n  3 -> 11 [size =\"22044672\"]\n  3 -> 13 [size =\"22044672\"]\n  3 -> 14 [size =\"22044672\"]\n  3 -> 17 [size =\"22044672\"]\n  3 -> 18 [size =\"22044672\"]\n  3 -> 19 [size =\"22044672\"]\n  3 -> 20 [size =\"22044672\"]\n  3 -> 22 [size =\"22044672\"]\n  3 -> 23 [size =\"22044672\"]\n  4 [size=\"73154560\", alpha=\"0.10\", expect_size=\"36577280\"] \n  4 -> 11 [size =\"36577280\"]\n  4 -> 15 [size =\"36577280\"]\n  4 -> 16 [size =\"36577280\"]\n  4 -> 19 [size =\"36577280\"]\n  4 -> 20 [size =\"36577280\"]\n  4 -> 21 [size =\"36577280\"]\n  4 -> 22 [size =\"36577280\"]\n  5 [size=\"27869184\", alpha=\"0.06\", expect_size=\"13934592\"] \n  5 -> 11 [size =\"13934592\"]\n  5 -> 12 [size =\"13934592\"]\n  5 -> 15 [size =\"13934592\"]\n  5 -> 18 [size =\"13934592\"]\n  5 -> 20 [size =\"13934592\"]\n  6 [size=\"69306368\", alpha=\"0.17\", expect_size=\"34653184\"] \n  6 -> 11 [size =\"34653184\"]\n  6 -> 13 [size =\"34653184\"]\n  6 -> 15 [size =\"34653184\"]\n  6 -> 16 [size =\"34653184\"]\n  6 -> 20 [size =\"34653184\"]\n  7 [size=\"62803968\", alpha=\"0.17\", expect_size=\"31401984\"] \n  7 -> 11 [size =\"31401984\"]\n  7 -> 13 [size =\"31401984\"]\n  7 -> 14 [size =\"31401984\"]\n  7 -> 15 [size =\"31401984\"]\n  7 -> 18 [size =\"31401984\"]\n  7 -> 19 [size =\"31401984\"]\n  7 -> 20 [size =\"31401984\"]\n  7 -> 23 [size =\"31401984\"]\n  8 [size=\"76011520\", alpha=\"0.02\", expect_size=\"38005760\"] \n  8 -> 11 [size =\"38005760\"]\n  8 -> 12 [size =\"38005760\"]\n  8 -> 13 [size =\"38005760\"]\n  8 -> 18 [size =\"38005760\"]\n  8 -> 19 [size =\"38005760\"]\n  8 -> 22 [size =\"38005760\"]\n  8 -> 23 [size =\"38005760\"]\n  9 [size=\"38445056\", alpha=\"0.09\", expect_size=\"19222528\"] \n  9 -> 12 [size =\"19222528\"]\n  9 -> 13 [size =\"19222528\"]\n  10 [size=\"42381312\", alpha=\"0.00\", expect_size=\"21190656\"] \n  10 -> 12 [size =\"21190656\"]\n  10 -> 13 [size =\"21190656\"]\n  10 -> 16 [size =\"21190656\"]\n  10 -> 22 [size =\"21190656\"]\n  11 [size=\"94494720\", alpha=\"0.04\", expect_size=\"47247360\"] \n  11 -> 27 [size =\"47247360\"]\n  11 -> 28 [size =\"47247360\"]\n  11 -> 29 [size =\"47247360\"]\n  11 -> 30 [size =\"47247360\"]\n  11 -> 34 [size =\"47247360\"]\n  11 -> 38 [size =\"47247360\"]\n  12 [size=\"48617472\", alpha=\"0.14\", expect_size=\"24308736\"] \n  12 -> 24 [size =\"24308736\"]\n  12 -> 26 [size =\"24308736\"]\n  12 -> 33 [size =\"24308736\"]\n  12 -> 34 [size =\"24308736\"]\n  12 -> 37 [size =\"24308736\"]\n  12 -> 38 [size =\"24308736\"]\n  13 [size=\"86966272\", alpha=\"0.19\", expect_size=\"43483136\"] \n  13 -> 24 [size =\"43483136\"]\n  13 -> 26 [size =\"43483136\"]\n  13 -> 31 [size =\"43483136\"]\n  13 -> 38 [size =\"43483136\"]\n  14 [size=\"42248192\", alpha=\"0.09\", expect_size=\"21124096\"] \n  14 -> 24 [size =\"21124096\"]\n  14 -> 32 [size =\"21124096\"]\n  14 -> 33 [size =\"21124096\"]\n  14 -> 36 [size =\"21124096\"]\n  15 [size=\"88721408\", alpha=\"0.06\", expect_size=\"44360704\"] \n  15 -> 29 [size =\"44360704\"]\n  15 -> 37 [size =\"44360704\"]\n  16 [size=\"22597632\", alpha=\"0.07\", expect_size=\"11298816\"] \n  16 -> 27 [size =\"11298816\"]\n  16 -> 28 [size =\"11298816\"]\n  16 -> 33 [size =\"11298816\"]\n  16 -> 36 [size =\"11298816\"]\n  17 [size=\"101695488\", alpha=\"0.05\", expect_size=\"50847744\"] \n  17 -> 27 [size =\"50847744\"]\n  17 -> 30 [size =\"50847744\"]\n  17 -> 35 [size =\"50847744\"]\n  17 -> 36 [size =\"50847744\"]\n  18 [size=\"87339008\", alpha=\"0.17\", expect_size=\"43669504\"] \n  18 -> 26 [size =\"43669504\"]\n  18 -> 27 [size =\"43669504\"]\n  18 -> 28 [size =\"43669504\"]\n  18 -> 31 [size =\"43669504\"]\n  18 -> 33 [size =\"43669504\"]\n  18 -> 34 [size =\"43669504\"]\n  18 -> 37 [size =\"43669504\"]\n  18 -> 38 [size =\"43669504\"]\n  19 [size=\"95440896\", alpha=\"0.10\", expect_size=\"47720448\"] \n  19 -> 24 [size =\"47720448\"]\n  19 -> 26 [size =\"47720448\"]\n  19 -> 27 [size =\"47720448\"]\n  19 -> 29 [size =\"47720448\"]\n  19 -> 30 [size =\"47720448\"]\n  19 -> 31 [size =\"47720448\"]\n  19 -> 34 [size =\"47720448\"]\n  19 -> 37 [size =\"47720448\"]\n  20 [size=\"45654016\", alpha=\"0.09\", expect_size=\"22827008\"] \n  20 -> 25 [size =\"22827008\"]\n  20 -> 27 [size =\"22827008\"]\n  20 -> 27 [size =\"22827008\"]\n  20 -> 31 [size =\"22827008\"]\n  20 -> 33 [size =\"22827008\"]\n  20 -> 35 [size =\"22827008\"]\n  21 [size=\"45950976\", alpha=\"0.08\", expect_size=\"22975488\"] \n  21 -> 33 [size =\"22975488\"]\n  21 -> 34 [size =\"22975488\"]\n  21 -> 35 [size =\"22975488\"]\n  22 [size=\"62543872\", alpha=\"0.13\", expect_size=\"31271936\"] \n  22 -> 24 [size =\"31271936\"]\n  22 -> 30 [size =\"31271936\"]\n  22 -> 31 [size =\"31271936\"]\n  22 -> 33 [size =\"31271936\"]\n  22 -> 35 [size =\"31271936\"]\n  23 [size=\"33806336\", alpha=\"0.05\", expect_size=\"16903168\"] \n  23 -> 25 [size =\"16903168\"]\n  23 -> 36 [size =\"16903168\"]\n  23 -> 38 [size =\"16903168\"]\n  24 [size=\"29175808\", alpha=\"0.11\", expect_size=\"14587904\"] \n  24 -> 43 [size =\"14587904\"]\n  24 -> 48 [size =\"14587904\"]\n  24 -> 49 [size =\"14587904\"]\n  24 -> 50 [size =\"14587904\"]\n  25 [size=\"72228864\", alpha=\"0.20\", expect_size=\"36114432\"] \n  25 -> 43 [size =\"36114432\"]\n  25 -> 48 [size =\"36114432\"]\n  26 [size=\"102799360\", alpha=\"0.02\", expect_size=\"51399680\"] \n  26 -> 39 [size =\"51399680\"]\n  26 -> 40 [size =\"51399680\"]\n  27 [size=\"40261632\", alpha=\"0.14\", expect_size=\"20130816\"] \n  27 -> 47 [size =\"20130816\"]\n  27 -> 50 [size =\"20130816\"]\n  28 [size=\"61812736\", alpha=\"0.01\", expect_size=\"30906368\"] \n  28 -> 40 [size =\"30906368\"]\n  28 -> 41 [size =\"30906368\"]\n  28 -> 43 [size =\"30906368\"]\n  28 -> 44 [size =\"30906368\"]\n  28 -> 47 [size =\"30906368\"]\n  29 [size=\"49162240\", alpha=\"0.14\", expect_size=\"24581120\"] \n  29 -> 39 [size =\"24581120\"]\n  29 -> 43 [size =\"24581120\"]\n  29 -> 46 [size =\"24581120\"]\n  29 -> 47 [size =\"24581120\"]\n  29 -> 47 [size =\"24581120\"]\n  29 -> 49 [size =\"24581120\"]\n  30 [size=\"97386496\", alpha=\"0.13\", expect_size=\"48693248\"] \n  30 -> 39 [size =\"48693248\"]\n  30 -> 43 [size =\"48693248\"]\n  31 [size=\"47202304\", alpha=\"0.10\", expect_size=\"23601152\"] \n  31 -> 43 [size =\"23601152\"]\n  31 -> 44 [size =\"23601152\"]\n  31 -> 48 [size =\"23601152\"]\n  32 [size=\"84625408\", alpha=\"0.15\", expect_size=\"42312704\"] \n  32 -> 39 [size =\"42312704\"]\n  32 -> 43 [size =\"42312704\"]\n  32 -> 48 [size =\"42312704\"]\n  33 [size=\"51750912\", alpha=\"0.17\", expect_size=\"25875456\"] \n  33 -> 42 [size =\"25875456\"]\n  33 -> 43 [size =\"25875456\"]\n  33 -> 46 [size =\"25875456\"]\n  34 [size=\"76556288\", alpha=\"0.05\", expect_size=\"38278144\"] \n  34 -> 43 [size =\"38278144\"]\n  34 -> 47 [size =\"38278144\"]\n  34 -> 50 [size =\"38278144\"]\n  35 [size=\"32968704\", alpha=\"0.09\", expect_size=\"16484352\"] \n  35 -> 47 [size =\"16484352\"]\n  35 -> 48 [size =\"16484352\"]\n  35 -> 49 [size =\"16484352\"]\n  36 [size=\"32741376\", alpha=\"0.17\", expect_size=\"16370688\"] \n  36 -> 47 [size =\"16370688\"]\n  36 -> 48 [size =\"16370688\"]\n  36 -> 50 [size =\"16370688\"]\n  37 [size=\"40325120\", alpha=\"0.03\", expect_size=\"20162560\"] \n  37 -> 44 [size =\"20162560\"]\n  37 -> 47 [size =\"20162560\"]\n  37 -> 50 [size =\"20162560\"]\n  38 [size=\"13670400\", alpha=\"0.06\", expect_size=\"6835200\"] \n  38 -> 39 [size =\"6835200\"]\n  38 -> 40 [size =\"6835200\"]\n  38 -> 45 [size =\"6835200\"]\n  38 -> 50 [size =\"6835200\"]\n  39 [size=\"18298880\", alpha=\"0.07\", expect_size=\"9149440\"] \n  40 [size=\"82176000\", alpha=\"0.16\", expect_size=\"41088000\"] \n  41 [size=\"48453632\", alpha=\"0.11\", expect_size=\"24226816\"] \n  42 [size=\"95510528\", alpha=\"0.18\", expect_size=\"47755264\"] \n  43 [size=\"72736768\", alpha=\"0.10\", expect_size=\"36368384\"] \n  44 [size=\"56612864\", alpha=\"0.06\", expect_size=\"28306432\"] \n  45 [size=\"78903296\", alpha=\"0.15\", expect_size=\"39451648\"] \n  46 [size=\"29100032\", alpha=\"0.03\", expect_size=\"14550016\"] \n  47 [size=\"13690880\", alpha=\"0.18\", expect_size=\"6845440\"] \n  48 [size=\"29509632\", alpha=\"0.04\", expect_size=\"14754816\"] \n  49 [size=\"59041792\", alpha=\"0.18\", expect_size=\"29520896\"] \n  50 [size=\"92870656\", alpha=\"0.10\", expect_size=\"46435328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20626773\", alpha=\"0.16\", expect_size=\"6188032\"] \n  1 -> 4 [size =\"6188032\"]\n  2 [size=\"53964800\", alpha=\"0.06\", expect_size=\"16189440\"] \n  2 -> 4 [size =\"16189440\"]\n  2 -> 5 [size =\"16189440\"]\n  3 [size=\"30624427\", alpha=\"0.15\", expect_size=\"9187328\"] \n  4 [size=\"102287360\", alpha=\"0.12\", expect_size=\"30686208\"] \n  4 -> 6 [size =\"30686208\"]\n  5 [size=\"165034667\", alpha=\"0.16\", expect_size=\"49510400\"] \n  5 -> 6 [size =\"49510400\"]\n  5 -> 7 [size =\"49510400\"]\n  6 [size=\"156119040\", alpha=\"0.14\", expect_size=\"46835712\"] \n  6 -> 8 [size =\"46835712\"]\n  6 -> 9 [size =\"46835712\"]\n  7 [size=\"112319147\", alpha=\"0.17\", expect_size=\"33695744\"] \n  7 -> 8 [size =\"33695744\"]\n  7 -> 9 [size =\"33695744\"]\n  8 [size=\"81001813\", alpha=\"0.09\", expect_size=\"24300544\"] \n  8 -> 10 [size =\"24300544\"]\n  8 -> 11 [size =\"24300544\"]\n  8 -> 12 [size =\"24300544\"]\n  9 [size=\"124573013\", alpha=\"0.17\", expect_size=\"37371904\"] \n  9 -> 10 [size =\"37371904\"]\n  9 -> 11 [size =\"37371904\"]\n  9 -> 12 [size =\"37371904\"]\n  10 [size=\"120934400\", alpha=\"0.13\", expect_size=\"36280320\"] \n  11 [size=\"158699520\", alpha=\"0.01\", expect_size=\"47609856\"] \n  11 -> 13 [size =\"47609856\"]\n  12 [size=\"125552640\", alpha=\"0.15\", expect_size=\"37665792\"] \n  12 -> 14 [size =\"37665792\"]\n  13 [size=\"172943360\", alpha=\"0.05\", expect_size=\"51883008\"] \n  13 -> 15 [size =\"51883008\"]\n  13 -> 17 [size =\"51883008\"]\n  14 [size=\"131211947\", alpha=\"0.12\", expect_size=\"39363584\"] \n  14 -> 15 [size =\"39363584\"]\n  14 -> 16 [size =\"39363584\"]\n  15 [size=\"66164053\", alpha=\"0.02\", expect_size=\"19849216\"] \n  15 -> 19 [size =\"19849216\"]\n  15 -> 20 [size =\"19849216\"]\n  16 [size=\"31996587\", alpha=\"0.16\", expect_size=\"9598976\"] \n  16 -> 18 [size =\"9598976\"]\n  16 -> 20 [size =\"9598976\"]\n  17 [size=\"139933013\", alpha=\"0.18\", expect_size=\"41979904\"] \n  17 -> 18 [size =\"41979904\"]\n  17 -> 20 [size =\"41979904\"]\n  18 [size=\"117582507\", alpha=\"0.17\", expect_size=\"35274752\"] \n  18 -> 22 [size =\"35274752\"]\n  19 [size=\"28938240\", alpha=\"0.14\", expect_size=\"8681472\"] \n  19 -> 21 [size =\"8681472\"]\n  20 [size=\"163730773\", alpha=\"0.00\", expect_size=\"49119232\"] \n  20 -> 21 [size =\"49119232\"]\n  20 -> 22 [size =\"49119232\"]\n  21 [size=\"107410773\", alpha=\"0.06\", expect_size=\"32223232\"] \n  21 -> 24 [size =\"32223232\"]\n  22 [size=\"114831360\", alpha=\"0.17\", expect_size=\"34449408\"] \n  22 -> 23 [size =\"34449408\"]\n  22 -> 24 [size =\"34449408\"]\n  23 [size=\"72782507\", alpha=\"0.09\", expect_size=\"21834752\"] \n  23 -> 25 [size =\"21834752\"]\n  23 -> 26 [size =\"21834752\"]\n  24 [size=\"109957120\", alpha=\"0.12\", expect_size=\"32987136\"] \n  24 -> 25 [size =\"32987136\"]\n  24 -> 26 [size =\"32987136\"]\n  24 -> 27 [size =\"32987136\"]\n  25 [size=\"48827733\", alpha=\"0.14\", expect_size=\"14648320\"] \n  26 [size=\"62924800\", alpha=\"0.14\", expect_size=\"18877440\"] \n  26 -> 30 [size =\"18877440\"]\n  27 [size=\"34867200\", alpha=\"0.06\", expect_size=\"10460160\"] \n  27 -> 28 [size =\"10460160\"]\n  27 -> 29 [size =\"10460160\"]\n  28 [size=\"21957973\", alpha=\"0.05\", expect_size=\"6587392\"] \n  29 [size=\"154654720\", alpha=\"0.19\", expect_size=\"46396416\"] \n  29 -> 31 [size =\"46396416\"]\n  29 -> 32 [size =\"46396416\"]\n  30 [size=\"111199573\", alpha=\"0.05\", expect_size=\"33359872\"] \n  30 -> 31 [size =\"33359872\"]\n  30 -> 32 [size =\"33359872\"]\n  30 -> 33 [size =\"33359872\"]\n  31 [size=\"112315733\", alpha=\"0.09\", expect_size=\"33694720\"] \n  31 -> 34 [size =\"33694720\"]\n  31 -> 35 [size =\"33694720\"]\n  32 [size=\"161157120\", alpha=\"0.08\", expect_size=\"48347136\"] \n  32 -> 34 [size =\"48347136\"]\n  32 -> 35 [size =\"48347136\"]\n  33 [size=\"136922453\", alpha=\"0.06\", expect_size=\"41076736\"] \n  33 -> 35 [size =\"41076736\"]\n  34 [size=\"52770133\", alpha=\"0.18\", expect_size=\"15831040\"] \n  34 -> 37 [size =\"15831040\"]\n  34 -> 38 [size =\"15831040\"]\n  35 [size=\"150790827\", alpha=\"0.17\", expect_size=\"45237248\"] \n  35 -> 36 [size =\"45237248\"]\n  35 -> 38 [size =\"45237248\"]\n  36 [size=\"106693973\", alpha=\"0.17\", expect_size=\"32008192\"] \n  36 -> 40 [size =\"32008192\"]\n  37 [size=\"59118933\", alpha=\"0.13\", expect_size=\"17735680\"] \n  37 -> 39 [size =\"17735680\"]\n  38 [size=\"102915413\", alpha=\"0.02\", expect_size=\"30874624\"] \n  38 -> 40 [size =\"30874624\"]\n  39 [size=\"144315733\", alpha=\"0.12\", expect_size=\"43294720\"] \n  39 -> 42 [size =\"43294720\"]\n  40 [size=\"133140480\", alpha=\"0.01\", expect_size=\"39942144\"] \n  40 -> 41 [size =\"39942144\"]\n  40 -> 42 [size =\"39942144\"]\n  40 -> 43 [size =\"39942144\"]\n  41 [size=\"172840960\", alpha=\"0.01\", expect_size=\"51852288\"] \n  42 [size=\"90074453\", alpha=\"0.14\", expect_size=\"27022336\"] \n  42 -> 44 [size =\"27022336\"]\n  42 -> 45 [size =\"27022336\"]\n  43 [size=\"150200320\", alpha=\"0.13\", expect_size=\"45060096\"] \n  43 -> 44 [size =\"45060096\"]\n  43 -> 45 [size =\"45060096\"]\n  44 [size=\"36833280\", alpha=\"0.05\", expect_size=\"11049984\"] \n  44 -> 46 [size =\"11049984\"]\n  44 -> 47 [size =\"11049984\"]\n  45 [size=\"20995413\", alpha=\"0.00\", expect_size=\"6298624\"] \n  45 -> 47 [size =\"6298624\"]\n  45 -> 48 [size =\"6298624\"]\n  46 [size=\"151377920\", alpha=\"0.01\", expect_size=\"45413376\"] \n  47 [size=\"127924907\", alpha=\"0.05\", expect_size=\"38377472\"] \n  47 -> 49 [size =\"38377472\"]\n  47 -> 50 [size =\"38377472\"]\n  48 [size=\"73099947\", alpha=\"0.09\", expect_size=\"21929984\"] \n  48 -> 49 [size =\"21929984\"]\n  49 [size=\"87005867\", alpha=\"0.10\", expect_size=\"26101760\"] \n  50 [size=\"23821653\", alpha=\"0.03\", expect_size=\"7146496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.620.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66380800\", alpha=\"0.13\", expect_size=\"26552320\"] \n  1 -> 4 [size =\"26552320\"]\n  2 [size=\"50050560\", alpha=\"0.01\", expect_size=\"20020224\"] \n  2 -> 4 [size =\"20020224\"]\n  3 [size=\"129216000\", alpha=\"0.16\", expect_size=\"51686400\"] \n  4 [size=\"38284800\", alpha=\"0.18\", expect_size=\"15313920\"] \n  4 -> 5 [size =\"15313920\"]\n  5 [size=\"54543360\", alpha=\"0.15\", expect_size=\"21817344\"] \n  5 -> 6 [size =\"21817344\"]\n  5 -> 7 [size =\"21817344\"]\n  6 [size=\"68282880\", alpha=\"0.14\", expect_size=\"27313152\"] \n  6 -> 9 [size =\"27313152\"]\n  6 -> 10 [size =\"27313152\"]\n  6 -> 11 [size =\"27313152\"]\n  7 [size=\"83998720\", alpha=\"0.01\", expect_size=\"33599488\"] \n  7 -> 8 [size =\"33599488\"]\n  7 -> 11 [size =\"33599488\"]\n  8 [size=\"93716480\", alpha=\"0.17\", expect_size=\"37486592\"] \n  9 [size=\"92797440\", alpha=\"0.08\", expect_size=\"37118976\"] \n  9 -> 12 [size =\"37118976\"]\n  10 [size=\"81082880\", alpha=\"0.17\", expect_size=\"32433152\"] \n  10 -> 12 [size =\"32433152\"]\n  11 [size=\"41379840\", alpha=\"0.16\", expect_size=\"16551936\"] \n  12 [size=\"116828160\", alpha=\"0.09\", expect_size=\"46731264\"] \n  12 -> 13 [size =\"46731264\"]\n  12 -> 14 [size =\"46731264\"]\n  12 -> 15 [size =\"46731264\"]\n  13 [size=\"124446720\", alpha=\"0.19\", expect_size=\"49778688\"] \n  13 -> 16 [size =\"49778688\"]\n  13 -> 17 [size =\"49778688\"]\n  13 -> 18 [size =\"49778688\"]\n  13 -> 19 [size =\"49778688\"]\n  14 [size=\"98677760\", alpha=\"0.04\", expect_size=\"39471104\"] \n  14 -> 16 [size =\"39471104\"]\n  14 -> 18 [size =\"39471104\"]\n  14 -> 19 [size =\"39471104\"]\n  15 [size=\"89408000\", alpha=\"0.13\", expect_size=\"35763200\"] \n  15 -> 19 [size =\"35763200\"]\n  16 [size=\"61383680\", alpha=\"0.16\", expect_size=\"24553472\"] \n  17 [size=\"23802880\", alpha=\"0.11\", expect_size=\"9521152\"] \n  18 [size=\"30755840\", alpha=\"0.03\", expect_size=\"12302336\"] \n  18 -> 20 [size =\"12302336\"]\n  19 [size=\"128611840\", alpha=\"0.03\", expect_size=\"51444736\"] \n  20 [size=\"55523840\", alpha=\"0.07\", expect_size=\"22209536\"] \n  20 -> 21 [size =\"22209536\"]\n  20 -> 22 [size =\"22209536\"]\n  20 -> 23 [size =\"22209536\"]\n  21 [size=\"35653120\", alpha=\"0.00\", expect_size=\"14261248\"] \n  21 -> 24 [size =\"14261248\"]\n  22 [size=\"129605120\", alpha=\"0.19\", expect_size=\"51842048\"] \n  22 -> 25 [size =\"51842048\"]\n  23 [size=\"65341440\", alpha=\"0.18\", expect_size=\"26136576\"] \n  23 -> 24 [size =\"26136576\"]\n  24 [size=\"58670080\", alpha=\"0.01\", expect_size=\"23468032\"] \n  24 -> 26 [size =\"23468032\"]\n  25 [size=\"81244160\", alpha=\"0.11\", expect_size=\"32497664\"] \n  25 -> 26 [size =\"32497664\"]\n  26 [size=\"37975040\", alpha=\"0.11\", expect_size=\"15190016\"] \n  26 -> 27 [size =\"15190016\"]\n  26 -> 28 [size =\"15190016\"]\n  26 -> 29 [size =\"15190016\"]\n  27 [size=\"15892480\", alpha=\"0.02\", expect_size=\"6356992\"] \n  27 -> 31 [size =\"6356992\"]\n  27 -> 32 [size =\"6356992\"]\n  28 [size=\"83164160\", alpha=\"0.08\", expect_size=\"33265664\"] \n  28 -> 30 [size =\"33265664\"]\n  28 -> 31 [size =\"33265664\"]\n  28 -> 32 [size =\"33265664\"]\n  29 [size=\"101944320\", alpha=\"0.06\", expect_size=\"40777728\"] \n  29 -> 30 [size =\"40777728\"]\n  29 -> 31 [size =\"40777728\"]\n  30 [size=\"121190400\", alpha=\"0.17\", expect_size=\"48476160\"] \n  30 -> 35 [size =\"48476160\"]\n  31 [size=\"45329920\", alpha=\"0.12\", expect_size=\"18131968\"] \n  31 -> 34 [size =\"18131968\"]\n  31 -> 35 [size =\"18131968\"]\n  31 -> 36 [size =\"18131968\"]\n  32 [size=\"45601280\", alpha=\"0.04\", expect_size=\"18240512\"] \n  32 -> 33 [size =\"18240512\"]\n  33 [size=\"40985600\", alpha=\"0.16\", expect_size=\"16394240\"] \n  33 -> 37 [size =\"16394240\"]\n  34 [size=\"29626880\", alpha=\"0.02\", expect_size=\"11850752\"] \n  34 -> 37 [size =\"11850752\"]\n  34 -> 38 [size =\"11850752\"]\n  35 [size=\"36707840\", alpha=\"0.01\", expect_size=\"14683136\"] \n  35 -> 37 [size =\"14683136\"]\n  36 [size=\"103659520\", alpha=\"0.08\", expect_size=\"41463808\"] \n  37 [size=\"49733120\", alpha=\"0.17\", expect_size=\"19893248\"] \n  37 -> 39 [size =\"19893248\"]\n  37 -> 40 [size =\"19893248\"]\n  38 [size=\"63782400\", alpha=\"0.08\", expect_size=\"25512960\"] \n  38 -> 40 [size =\"25512960\"]\n  38 -> 41 [size =\"25512960\"]\n  39 [size=\"108459520\", alpha=\"0.20\", expect_size=\"43383808\"] \n  39 -> 42 [size =\"43383808\"]\n  39 -> 44 [size =\"43383808\"]\n  39 -> 45 [size =\"43383808\"]\n  40 [size=\"27520000\", alpha=\"0.19\", expect_size=\"11008000\"] \n  40 -> 42 [size =\"11008000\"]\n  40 -> 43 [size =\"11008000\"]\n  40 -> 45 [size =\"11008000\"]\n  41 [size=\"124871680\", alpha=\"0.01\", expect_size=\"49948672\"] \n  41 -> 42 [size =\"49948672\"]\n  41 -> 44 [size =\"49948672\"]\n  42 [size=\"74895360\", alpha=\"0.03\", expect_size=\"29958144\"] \n  43 [size=\"99279360\", alpha=\"0.15\", expect_size=\"39711744\"] \n  43 -> 47 [size =\"39711744\"]\n  44 [size=\"73431040\", alpha=\"0.13\", expect_size=\"29372416\"] \n  44 -> 46 [size =\"29372416\"]\n  45 [size=\"82923520\", alpha=\"0.04\", expect_size=\"33169408\"] \n  46 [size=\"86095360\", alpha=\"0.18\", expect_size=\"34438144\"] \n  46 -> 48 [size =\"34438144\"]\n  46 -> 49 [size =\"34438144\"]\n  47 [size=\"13258240\", alpha=\"0.14\", expect_size=\"5303296\"] \n  47 -> 48 [size =\"5303296\"]\n  48 [size=\"111040000\", alpha=\"0.01\", expect_size=\"44416000\"] \n  48 -> 50 [size =\"44416000\"]\n  49 [size=\"43194880\", alpha=\"0.03\", expect_size=\"17277952\"] \n  49 -> 50 [size =\"17277952\"]\n  50 [size=\"43194880\", alpha=\"0.03\", expect_size=\"17277952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.621.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"137461760\", alpha=\"0.01\", expect_size=\"41238528\"] \n  1 -> 5 [size =\"41238528\"]\n  1 -> 6 [size =\"41238528\"]\n  2 [size=\"152193707\", alpha=\"0.15\", expect_size=\"45658112\"] \n  2 -> 5 [size =\"45658112\"]\n  3 [size=\"111988053\", alpha=\"0.17\", expect_size=\"33596416\"] \n  3 -> 6 [size =\"33596416\"]\n  4 [size=\"41683627\", alpha=\"0.09\", expect_size=\"12505088\"] \n  5 [size=\"37447680\", alpha=\"0.03\", expect_size=\"11234304\"] \n  5 -> 8 [size =\"11234304\"]\n  5 -> 9 [size =\"11234304\"]\n  6 [size=\"168024747\", alpha=\"0.04\", expect_size=\"50407424\"] \n  6 -> 7 [size =\"50407424\"]\n  7 [size=\"160972800\", alpha=\"0.19\", expect_size=\"48291840\"] \n  7 -> 12 [size =\"48291840\"]\n  8 [size=\"120378027\", alpha=\"0.17\", expect_size=\"36113408\"] \n  8 -> 10 [size =\"36113408\"]\n  8 -> 11 [size =\"36113408\"]\n  8 -> 12 [size =\"36113408\"]\n  9 [size=\"61842773\", alpha=\"0.07\", expect_size=\"18552832\"] \n  10 [size=\"34628267\", alpha=\"0.15\", expect_size=\"10388480\"] \n  11 [size=\"45294933\", alpha=\"0.01\", expect_size=\"13588480\"] \n  11 -> 15 [size =\"13588480\"]\n  12 [size=\"53186560\", alpha=\"0.08\", expect_size=\"15955968\"] \n  12 -> 13 [size =\"15955968\"]\n  12 -> 14 [size =\"15955968\"]\n  13 [size=\"172844373\", alpha=\"0.08\", expect_size=\"51853312\"] \n  13 -> 16 [size =\"51853312\"]\n  14 [size=\"151060480\", alpha=\"0.05\", expect_size=\"45318144\"] \n  15 [size=\"61265920\", alpha=\"0.13\", expect_size=\"18379776\"] \n  16 [size=\"87831893\", alpha=\"0.14\", expect_size=\"26349568\"] \n  16 -> 17 [size =\"26349568\"]\n  16 -> 18 [size =\"26349568\"]\n  16 -> 19 [size =\"26349568\"]\n  16 -> 20 [size =\"26349568\"]\n  17 [size=\"122914133\", alpha=\"0.15\", expect_size=\"36874240\"] \n  17 -> 21 [size =\"36874240\"]\n  18 [size=\"116995413\", alpha=\"0.14\", expect_size=\"35098624\"] \n  18 -> 21 [size =\"35098624\"]\n  19 [size=\"95375360\", alpha=\"0.20\", expect_size=\"28612608\"] \n  20 [size=\"147387733\", alpha=\"0.14\", expect_size=\"44216320\"] \n  21 [size=\"108226560\", alpha=\"0.04\", expect_size=\"32467968\"] \n  21 -> 22 [size =\"32467968\"]\n  21 -> 23 [size =\"32467968\"]\n  21 -> 24 [size =\"32467968\"]\n  22 [size=\"115817813\", alpha=\"0.11\", expect_size=\"34745344\"] \n  22 -> 26 [size =\"34745344\"]\n  22 -> 27 [size =\"34745344\"]\n  23 [size=\"24087893\", alpha=\"0.09\", expect_size=\"7226368\"] \n  23 -> 25 [size =\"7226368\"]\n  23 -> 27 [size =\"7226368\"]\n  24 [size=\"84596053\", alpha=\"0.11\", expect_size=\"25378816\"] \n  24 -> 25 [size =\"25378816\"]\n  24 -> 26 [size =\"25378816\"]\n  25 [size=\"127733760\", alpha=\"0.16\", expect_size=\"38320128\"] \n  26 [size=\"68843520\", alpha=\"0.19\", expect_size=\"20653056\"] \n  26 -> 28 [size =\"20653056\"]\n  26 -> 29 [size =\"20653056\"]\n  26 -> 31 [size =\"20653056\"]\n  27 [size=\"18653867\", alpha=\"0.01\", expect_size=\"5596160\"] \n  27 -> 28 [size =\"5596160\"]\n  27 -> 29 [size =\"5596160\"]\n  27 -> 30 [size =\"5596160\"]\n  28 [size=\"134925653\", alpha=\"0.16\", expect_size=\"40477696\"] \n  28 -> 33 [size =\"40477696\"]\n  28 -> 35 [size =\"40477696\"]\n  29 [size=\"85667840\", alpha=\"0.16\", expect_size=\"25700352\"] \n  29 -> 32 [size =\"25700352\"]\n  30 [size=\"85664427\", alpha=\"0.19\", expect_size=\"25699328\"] \n  30 -> 32 [size =\"25699328\"]\n  30 -> 35 [size =\"25699328\"]\n  31 [size=\"41181867\", alpha=\"0.05\", expect_size=\"12354560\"] \n  31 -> 33 [size =\"12354560\"]\n  31 -> 34 [size =\"12354560\"]\n  32 [size=\"72202240\", alpha=\"0.16\", expect_size=\"21660672\"] \n  32 -> 37 [size =\"21660672\"]\n  32 -> 38 [size =\"21660672\"]\n  33 [size=\"156166827\", alpha=\"0.06\", expect_size=\"46850048\"] \n  33 -> 36 [size =\"46850048\"]\n  33 -> 37 [size =\"46850048\"]\n  34 [size=\"73007787\", alpha=\"0.14\", expect_size=\"21902336\"] \n  35 [size=\"161512107\", alpha=\"0.07\", expect_size=\"48453632\"] \n  35 -> 36 [size =\"48453632\"]\n  36 [size=\"127078400\", alpha=\"0.09\", expect_size=\"38123520\"] \n  36 -> 39 [size =\"38123520\"]\n  37 [size=\"120261973\", alpha=\"0.04\", expect_size=\"36078592\"] \n  37 -> 40 [size =\"36078592\"]\n  38 [size=\"127269547\", alpha=\"0.12\", expect_size=\"38180864\"] \n  39 [size=\"93723307\", alpha=\"0.10\", expect_size=\"28116992\"] \n  40 [size=\"63986347\", alpha=\"0.05\", expect_size=\"19195904\"] \n  40 -> 41 [size =\"19195904\"]\n  40 -> 42 [size =\"19195904\"]\n  41 [size=\"55217493\", alpha=\"0.11\", expect_size=\"16565248\"] \n  41 -> 43 [size =\"16565248\"]\n  42 [size=\"95232000\", alpha=\"0.09\", expect_size=\"28569600\"] \n  42 -> 44 [size =\"28569600\"]\n  42 -> 45 [size =\"28569600\"]\n  43 [size=\"62457173\", alpha=\"0.09\", expect_size=\"18737152\"] \n  43 -> 46 [size =\"18737152\"]\n  43 -> 47 [size =\"18737152\"]\n  44 [size=\"112264533\", alpha=\"0.17\", expect_size=\"33679360\"] \n  45 [size=\"63665493\", alpha=\"0.19\", expect_size=\"19099648\"] \n  46 [size=\"117742933\", alpha=\"0.07\", expect_size=\"35322880\"] \n  46 -> 48 [size =\"35322880\"]\n  47 [size=\"30276267\", alpha=\"0.16\", expect_size=\"9082880\"] \n  47 -> 49 [size =\"9082880\"]\n  48 [size=\"63993173\", alpha=\"0.19\", expect_size=\"19197952\"] \n  48 -> 50 [size =\"19197952\"]\n  49 [size=\"161122987\", alpha=\"0.11\", expect_size=\"48336896\"] \n  50 [size=\"85002240\", alpha=\"0.12\", expect_size=\"25500672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.622.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64146773\", alpha=\"0.00\", expect_size=\"19244032\"] \n  1 -> 2 [size =\"19244032\"]\n  2 [size=\"108499627\", alpha=\"0.05\", expect_size=\"32549888\"] \n  2 -> 3 [size =\"32549888\"]\n  3 [size=\"121651200\", alpha=\"0.01\", expect_size=\"36495360\"] \n  3 -> 4 [size =\"36495360\"]\n  4 [size=\"100922027\", alpha=\"0.15\", expect_size=\"30276608\"] \n  4 -> 5 [size =\"30276608\"]\n  5 [size=\"32372053\", alpha=\"0.16\", expect_size=\"9711616\"] \n  5 -> 6 [size =\"9711616\"]\n  6 [size=\"38963200\", alpha=\"0.17\", expect_size=\"11688960\"] \n  6 -> 7 [size =\"11688960\"]\n  7 [size=\"74813440\", alpha=\"0.05\", expect_size=\"22444032\"] \n  7 -> 8 [size =\"22444032\"]\n  8 [size=\"19712000\", alpha=\"0.08\", expect_size=\"5913600\"] \n  8 -> 9 [size =\"5913600\"]\n  9 [size=\"34297173\", alpha=\"0.10\", expect_size=\"10289152\"] \n  9 -> 10 [size =\"10289152\"]\n  10 [size=\"89965227\", alpha=\"0.01\", expect_size=\"26989568\"] \n  10 -> 11 [size =\"26989568\"]\n  11 [size=\"141253973\", alpha=\"0.12\", expect_size=\"42376192\"] \n  11 -> 12 [size =\"42376192\"]\n  12 [size=\"142199467\", alpha=\"0.15\", expect_size=\"42659840\"] \n  12 -> 13 [size =\"42659840\"]\n  13 [size=\"24418987\", alpha=\"0.06\", expect_size=\"7325696\"] \n  13 -> 14 [size =\"7325696\"]\n  14 [size=\"29696000\", alpha=\"0.18\", expect_size=\"8908800\"] \n  14 -> 15 [size =\"8908800\"]\n  15 [size=\"144493227\", alpha=\"0.17\", expect_size=\"43347968\"] \n  15 -> 16 [size =\"43347968\"]\n  16 [size=\"109509973\", alpha=\"0.15\", expect_size=\"32852992\"] \n  16 -> 17 [size =\"32852992\"]\n  17 [size=\"82503680\", alpha=\"0.02\", expect_size=\"24751104\"] \n  17 -> 18 [size =\"24751104\"]\n  18 [size=\"119924053\", alpha=\"0.09\", expect_size=\"35977216\"] \n  18 -> 19 [size =\"35977216\"]\n  19 [size=\"22640640\", alpha=\"0.13\", expect_size=\"6792192\"] \n  19 -> 20 [size =\"6792192\"]\n  20 [size=\"99423573\", alpha=\"0.02\", expect_size=\"29827072\"] \n  20 -> 21 [size =\"29827072\"]\n  21 [size=\"108475733\", alpha=\"0.16\", expect_size=\"32542720\"] \n  21 -> 22 [size =\"32542720\"]\n  22 [size=\"43233280\", alpha=\"0.02\", expect_size=\"12969984\"] \n  22 -> 23 [size =\"12969984\"]\n  23 [size=\"160075093\", alpha=\"0.01\", expect_size=\"48022528\"] \n  23 -> 24 [size =\"48022528\"]\n  24 [size=\"51657387\", alpha=\"0.11\", expect_size=\"15497216\"] \n  24 -> 25 [size =\"15497216\"]\n  25 [size=\"39502507\", alpha=\"0.02\", expect_size=\"11850752\"] \n  25 -> 26 [size =\"11850752\"]\n  26 [size=\"19360427\", alpha=\"0.17\", expect_size=\"5808128\"] \n  26 -> 27 [size =\"5808128\"]\n  27 [size=\"135215787\", alpha=\"0.19\", expect_size=\"40564736\"] \n  27 -> 28 [size =\"40564736\"]\n  28 [size=\"153637547\", alpha=\"0.01\", expect_size=\"46091264\"] \n  28 -> 29 [size =\"46091264\"]\n  29 [size=\"64109227\", alpha=\"0.05\", expect_size=\"19232768\"] \n  29 -> 30 [size =\"19232768\"]\n  30 [size=\"167557120\", alpha=\"0.18\", expect_size=\"50267136\"] \n  30 -> 31 [size =\"50267136\"]\n  31 [size=\"22623573\", alpha=\"0.07\", expect_size=\"6787072\"] \n  31 -> 32 [size =\"6787072\"]\n  32 [size=\"147838293\", alpha=\"0.12\", expect_size=\"44351488\"] \n  32 -> 33 [size =\"44351488\"]\n  33 [size=\"162365440\", alpha=\"0.18\", expect_size=\"48709632\"] \n  33 -> 34 [size =\"48709632\"]\n  34 [size=\"170383360\", alpha=\"0.05\", expect_size=\"51115008\"] \n  34 -> 35 [size =\"51115008\"]\n  35 [size=\"98051413\", alpha=\"0.09\", expect_size=\"29415424\"] \n  35 -> 36 [size =\"29415424\"]\n  36 [size=\"117558613\", alpha=\"0.04\", expect_size=\"35267584\"] \n  36 -> 37 [size =\"35267584\"]\n  37 [size=\"93098667\", alpha=\"0.08\", expect_size=\"27929600\"] \n  37 -> 38 [size =\"27929600\"]\n  38 [size=\"82015573\", alpha=\"0.04\", expect_size=\"24604672\"] \n  38 -> 39 [size =\"24604672\"]\n  39 [size=\"86541653\", alpha=\"0.01\", expect_size=\"25962496\"] \n  39 -> 40 [size =\"25962496\"]\n  40 [size=\"123504640\", alpha=\"0.09\", expect_size=\"37051392\"] \n  40 -> 41 [size =\"37051392\"]\n  41 [size=\"108110507\", alpha=\"0.08\", expect_size=\"32433152\"] \n  41 -> 42 [size =\"32433152\"]\n  42 [size=\"164136960\", alpha=\"0.10\", expect_size=\"49241088\"] \n  42 -> 43 [size =\"49241088\"]\n  43 [size=\"101737813\", alpha=\"0.11\", expect_size=\"30521344\"] \n  43 -> 44 [size =\"30521344\"]\n  44 [size=\"85142187\", alpha=\"0.16\", expect_size=\"25542656\"] \n  44 -> 45 [size =\"25542656\"]\n  45 [size=\"126569813\", alpha=\"0.04\", expect_size=\"37970944\"] \n  45 -> 46 [size =\"37970944\"]\n  46 [size=\"38475093\", alpha=\"0.12\", expect_size=\"11542528\"] \n  46 -> 47 [size =\"11542528\"]\n  47 [size=\"70171307\", alpha=\"0.15\", expect_size=\"21051392\"] \n  47 -> 48 [size =\"21051392\"]\n  48 [size=\"129406293\", alpha=\"0.15\", expect_size=\"38821888\"] \n  48 -> 49 [size =\"38821888\"]\n  49 [size=\"161341440\", alpha=\"0.01\", expect_size=\"48402432\"] \n  49 -> 50 [size =\"48402432\"]\n  50 [size=\"171144533\", alpha=\"0.06\", expect_size=\"51343360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.623.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164345173\", alpha=\"0.01\", expect_size=\"49303552\"] \n  1 -> 2 [size =\"49303552\"]\n  2 [size=\"34119680\", alpha=\"0.05\", expect_size=\"10235904\"] \n  2 -> 3 [size =\"10235904\"]\n  3 [size=\"37802667\", alpha=\"0.07\", expect_size=\"11340800\"] \n  3 -> 4 [size =\"11340800\"]\n  4 [size=\"121238187\", alpha=\"0.15\", expect_size=\"36371456\"] \n  4 -> 5 [size =\"36371456\"]\n  5 [size=\"32877227\", alpha=\"0.12\", expect_size=\"9863168\"] \n  5 -> 6 [size =\"9863168\"]\n  6 [size=\"40755200\", alpha=\"0.18\", expect_size=\"12226560\"] \n  6 -> 7 [size =\"12226560\"]\n  7 [size=\"111643307\", alpha=\"0.13\", expect_size=\"33492992\"] \n  7 -> 8 [size =\"33492992\"]\n  8 [size=\"116787200\", alpha=\"0.08\", expect_size=\"35036160\"] \n  8 -> 9 [size =\"35036160\"]\n  9 [size=\"80179200\", alpha=\"0.03\", expect_size=\"24053760\"] \n  9 -> 10 [size =\"24053760\"]\n  10 [size=\"69833387\", alpha=\"0.07\", expect_size=\"20950016\"] \n  10 -> 11 [size =\"20950016\"]\n  11 [size=\"34679467\", alpha=\"0.12\", expect_size=\"10403840\"] \n  11 -> 12 [size =\"10403840\"]\n  12 [size=\"41789440\", alpha=\"0.05\", expect_size=\"12536832\"] \n  12 -> 13 [size =\"12536832\"]\n  13 [size=\"77308587\", alpha=\"0.14\", expect_size=\"23192576\"] \n  13 -> 14 [size =\"23192576\"]\n  14 [size=\"135601493\", alpha=\"0.06\", expect_size=\"40680448\"] \n  14 -> 15 [size =\"40680448\"]\n  15 [size=\"98590720\", alpha=\"0.02\", expect_size=\"29577216\"] \n  15 -> 16 [size =\"29577216\"]\n  16 [size=\"37021013\", alpha=\"0.03\", expect_size=\"11106304\"] \n  16 -> 17 [size =\"11106304\"]\n  17 [size=\"19575467\", alpha=\"0.02\", expect_size=\"5872640\"] \n  17 -> 18 [size =\"5872640\"]\n  18 [size=\"118667947\", alpha=\"0.17\", expect_size=\"35600384\"] \n  18 -> 19 [size =\"35600384\"]\n  19 [size=\"27081387\", alpha=\"0.19\", expect_size=\"8124416\"] \n  19 -> 20 [size =\"8124416\"]\n  20 [size=\"48923307\", alpha=\"0.12\", expect_size=\"14676992\"] \n  20 -> 21 [size =\"14676992\"]\n  21 [size=\"101809493\", alpha=\"0.04\", expect_size=\"30542848\"] \n  21 -> 22 [size =\"30542848\"]\n  22 [size=\"41915733\", alpha=\"0.18\", expect_size=\"12574720\"] \n  22 -> 23 [size =\"12574720\"]\n  23 [size=\"81882453\", alpha=\"0.14\", expect_size=\"24564736\"] \n  23 -> 24 [size =\"24564736\"]\n  24 [size=\"33914880\", alpha=\"0.03\", expect_size=\"10174464\"] \n  24 -> 25 [size =\"10174464\"]\n  25 [size=\"78004907\", alpha=\"0.15\", expect_size=\"23401472\"] \n  25 -> 26 [size =\"23401472\"]\n  26 [size=\"97583787\", alpha=\"0.09\", expect_size=\"29275136\"] \n  26 -> 27 [size =\"29275136\"]\n  27 [size=\"124067840\", alpha=\"0.16\", expect_size=\"37220352\"] \n  27 -> 28 [size =\"37220352\"]\n  28 [size=\"139202560\", alpha=\"0.15\", expect_size=\"41760768\"] \n  28 -> 29 [size =\"41760768\"]\n  29 [size=\"113489920\", alpha=\"0.02\", expect_size=\"34046976\"] \n  29 -> 30 [size =\"34046976\"]\n  30 [size=\"107827200\", alpha=\"0.16\", expect_size=\"32348160\"] \n  30 -> 31 [size =\"32348160\"]\n  31 [size=\"46742187\", alpha=\"0.11\", expect_size=\"14022656\"] \n  31 -> 32 [size =\"14022656\"]\n  32 [size=\"77107200\", alpha=\"0.10\", expect_size=\"23132160\"] \n  32 -> 33 [size =\"23132160\"]\n  33 [size=\"58282667\", alpha=\"0.17\", expect_size=\"17484800\"] \n  33 -> 34 [size =\"17484800\"]\n  34 [size=\"167881387\", alpha=\"0.19\", expect_size=\"50364416\"] \n  34 -> 35 [size =\"50364416\"]\n  35 [size=\"37812907\", alpha=\"0.10\", expect_size=\"11343872\"] \n  35 -> 36 [size =\"11343872\"]\n  36 [size=\"155337387\", alpha=\"0.05\", expect_size=\"46601216\"] \n  36 -> 37 [size =\"46601216\"]\n  37 [size=\"71877973\", alpha=\"0.19\", expect_size=\"21563392\"] \n  37 -> 38 [size =\"21563392\"]\n  38 [size=\"38888107\", alpha=\"0.07\", expect_size=\"11666432\"] \n  38 -> 39 [size =\"11666432\"]\n  39 [size=\"155685547\", alpha=\"0.16\", expect_size=\"46705664\"] \n  39 -> 40 [size =\"46705664\"]\n  40 [size=\"170400427\", alpha=\"0.08\", expect_size=\"51120128\"] \n  40 -> 41 [size =\"51120128\"]\n  41 [size=\"135396693\", alpha=\"0.12\", expect_size=\"40619008\"] \n  41 -> 42 [size =\"40619008\"]\n  42 [size=\"67874133\", alpha=\"0.19\", expect_size=\"20362240\"] \n  42 -> 43 [size =\"20362240\"]\n  43 [size=\"149442560\", alpha=\"0.13\", expect_size=\"44832768\"] \n  43 -> 44 [size =\"44832768\"]\n  44 [size=\"125358080\", alpha=\"0.10\", expect_size=\"37607424\"] \n  44 -> 45 [size =\"37607424\"]\n  45 [size=\"113752747\", alpha=\"0.15\", expect_size=\"34125824\"] \n  45 -> 46 [size =\"34125824\"]\n  46 [size=\"38451200\", alpha=\"0.09\", expect_size=\"11535360\"] \n  46 -> 47 [size =\"11535360\"]\n  47 [size=\"76291413\", alpha=\"0.18\", expect_size=\"22887424\"] \n  47 -> 48 [size =\"22887424\"]\n  48 [size=\"72089600\", alpha=\"0.01\", expect_size=\"21626880\"] \n  48 -> 49 [size =\"21626880\"]\n  49 [size=\"127037440\", alpha=\"0.17\", expect_size=\"38111232\"] \n  49 -> 50 [size =\"38111232\"]\n  50 [size=\"93453653\", alpha=\"0.05\", expect_size=\"28036096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.624.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108445013\", alpha=\"0.19\", expect_size=\"32533504\"] \n  1 -> 8 [size =\"32533504\"]\n  1 -> 13 [size =\"32533504\"]\n  1 -> 13 [size =\"32533504\"]\n  2 [size=\"77076480\", alpha=\"0.04\", expect_size=\"23122944\"] \n  2 -> 8 [size =\"23122944\"]\n  2 -> 10 [size =\"23122944\"]\n  2 -> 12 [size =\"23122944\"]\n  2 -> 13 [size =\"23122944\"]\n  2 -> 14 [size =\"23122944\"]\n  3 [size=\"163215360\", alpha=\"0.10\", expect_size=\"48964608\"] \n  3 -> 10 [size =\"48964608\"]\n  3 -> 13 [size =\"48964608\"]\n  3 -> 16 [size =\"48964608\"]\n  4 [size=\"20087467\", alpha=\"0.15\", expect_size=\"6026240\"] \n  4 -> 15 [size =\"6026240\"]\n  4 -> 16 [size =\"6026240\"]\n  4 -> 17 [size =\"6026240\"]\n  5 [size=\"55906987\", alpha=\"0.12\", expect_size=\"16772096\"] \n  5 -> 9 [size =\"16772096\"]\n  5 -> 15 [size =\"16772096\"]\n  5 -> 16 [size =\"16772096\"]\n  5 -> 17 [size =\"16772096\"]\n  6 [size=\"113554773\", alpha=\"0.20\", expect_size=\"34066432\"] \n  6 -> 9 [size =\"34066432\"]\n  6 -> 11 [size =\"34066432\"]\n  6 -> 16 [size =\"34066432\"]\n  6 -> 17 [size =\"34066432\"]\n  7 [size=\"56074240\", alpha=\"0.15\", expect_size=\"16822272\"] \n  7 -> 8 [size =\"16822272\"]\n  7 -> 9 [size =\"16822272\"]\n  7 -> 13 [size =\"16822272\"]\n  8 [size=\"63941973\", alpha=\"0.07\", expect_size=\"19182592\"] \n  8 -> 18 [size =\"19182592\"]\n  8 -> 19 [size =\"19182592\"]\n  9 [size=\"55302827\", alpha=\"0.12\", expect_size=\"16590848\"] \n  10 [size=\"26050560\", alpha=\"0.15\", expect_size=\"7815168\"] \n  11 [size=\"148770133\", alpha=\"0.00\", expect_size=\"44631040\"] \n  11 -> 20 [size =\"44631040\"]\n  12 [size=\"141646507\", alpha=\"0.11\", expect_size=\"42493952\"] \n  13 [size=\"171008000\", alpha=\"0.03\", expect_size=\"51302400\"] \n  14 [size=\"93364907\", alpha=\"0.08\", expect_size=\"28009472\"] \n  14 -> 19 [size =\"28009472\"]\n  15 [size=\"53930667\", alpha=\"0.06\", expect_size=\"16179200\"] \n  16 [size=\"147042987\", alpha=\"0.09\", expect_size=\"44112896\"] \n  17 [size=\"146896213\", alpha=\"0.20\", expect_size=\"44068864\"] \n  17 -> 20 [size =\"44068864\"]\n  18 [size=\"105349120\", alpha=\"0.13\", expect_size=\"31604736\"] \n  18 -> 22 [size =\"31604736\"]\n  18 -> 23 [size =\"31604736\"]\n  18 -> 24 [size =\"31604736\"]\n  19 [size=\"162631680\", alpha=\"0.07\", expect_size=\"48789504\"] \n  19 -> 21 [size =\"48789504\"]\n  19 -> 24 [size =\"48789504\"]\n  20 [size=\"103010987\", alpha=\"0.09\", expect_size=\"30903296\"] \n  20 -> 22 [size =\"30903296\"]\n  20 -> 23 [size =\"30903296\"]\n  20 -> 25 [size =\"30903296\"]\n  21 [size=\"63559680\", alpha=\"0.03\", expect_size=\"19067904\"] \n  21 -> 29 [size =\"19067904\"]\n  22 [size=\"64696320\", alpha=\"0.04\", expect_size=\"19408896\"] \n  22 -> 32 [size =\"19408896\"]\n  23 [size=\"151592960\", alpha=\"0.03\", expect_size=\"45477888\"] \n  23 -> 26 [size =\"45477888\"]\n  23 -> 28 [size =\"45477888\"]\n  23 -> 31 [size =\"45477888\"]\n  24 [size=\"17664000\", alpha=\"0.03\", expect_size=\"5299200\"] \n  24 -> 29 [size =\"5299200\"]\n  24 -> 30 [size =\"5299200\"]\n  24 -> 33 [size =\"5299200\"]\n  25 [size=\"78854827\", alpha=\"0.08\", expect_size=\"23656448\"] \n  25 -> 27 [size =\"23656448\"]\n  25 -> 29 [size =\"23656448\"]\n  25 -> 33 [size =\"23656448\"]\n  25 -> 34 [size =\"23656448\"]\n  26 [size=\"122975573\", alpha=\"0.05\", expect_size=\"36892672\"] \n  26 -> 35 [size =\"36892672\"]\n  26 -> 37 [size =\"36892672\"]\n  26 -> 40 [size =\"36892672\"]\n  27 [size=\"34519040\", alpha=\"0.07\", expect_size=\"10355712\"] \n  27 -> 35 [size =\"10355712\"]\n  27 -> 36 [size =\"10355712\"]\n  27 -> 39 [size =\"10355712\"]\n  28 [size=\"33600853\", alpha=\"0.15\", expect_size=\"10080256\"] \n  28 -> 39 [size =\"10080256\"]\n  28 -> 40 [size =\"10080256\"]\n  29 [size=\"135082667\", alpha=\"0.07\", expect_size=\"40524800\"] \n  29 -> 35 [size =\"40524800\"]\n  29 -> 36 [size =\"40524800\"]\n  29 -> 37 [size =\"40524800\"]\n  29 -> 39 [size =\"40524800\"]\n  30 [size=\"33832960\", alpha=\"0.01\", expect_size=\"10149888\"] \n  30 -> 35 [size =\"10149888\"]\n  30 -> 37 [size =\"10149888\"]\n  30 -> 37 [size =\"10149888\"]\n  30 -> 39 [size =\"10149888\"]\n  31 [size=\"104850773\", alpha=\"0.11\", expect_size=\"31455232\"] \n  31 -> 36 [size =\"31455232\"]\n  31 -> 39 [size =\"31455232\"]\n  32 [size=\"124528640\", alpha=\"0.18\", expect_size=\"37358592\"] \n  32 -> 35 [size =\"37358592\"]\n  32 -> 36 [size =\"37358592\"]\n  32 -> 38 [size =\"37358592\"]\n  32 -> 39 [size =\"37358592\"]\n  33 [size=\"152473600\", alpha=\"0.03\", expect_size=\"45742080\"] \n  33 -> 38 [size =\"45742080\"]\n  33 -> 40 [size =\"45742080\"]\n  34 [size=\"19851947\", alpha=\"0.19\", expect_size=\"5955584\"] \n  34 -> 35 [size =\"5955584\"]\n  34 -> 38 [size =\"5955584\"]\n  35 [size=\"43847680\", alpha=\"0.19\", expect_size=\"13154304\"] \n  35 -> 41 [size =\"13154304\"]\n  35 -> 43 [size =\"13154304\"]\n  36 [size=\"105608533\", alpha=\"0.15\", expect_size=\"31682560\"] \n  36 -> 41 [size =\"31682560\"]\n  36 -> 43 [size =\"31682560\"]\n  36 -> 44 [size =\"31682560\"]\n  37 [size=\"143926613\", alpha=\"0.08\", expect_size=\"43177984\"] \n  37 -> 41 [size =\"43177984\"]\n  37 -> 42 [size =\"43177984\"]\n  37 -> 43 [size =\"43177984\"]\n  37 -> 44 [size =\"43177984\"]\n  38 [size=\"40116907\", alpha=\"0.12\", expect_size=\"12035072\"] \n  39 [size=\"155217920\", alpha=\"0.15\", expect_size=\"46565376\"] \n  39 -> 41 [size =\"46565376\"]\n  40 [size=\"55197013\", alpha=\"0.09\", expect_size=\"16559104\"] \n  40 -> 43 [size =\"16559104\"]\n  41 [size=\"63208107\", alpha=\"0.08\", expect_size=\"18962432\"] \n  41 -> 45 [size =\"18962432\"]\n  41 -> 46 [size =\"18962432\"]\n  41 -> 47 [size =\"18962432\"]\n  41 -> 48 [size =\"18962432\"]\n  41 -> 50 [size =\"18962432\"]\n  42 [size=\"153258667\", alpha=\"0.13\", expect_size=\"45977600\"] \n  42 -> 46 [size =\"45977600\"]\n  42 -> 49 [size =\"45977600\"]\n  42 -> 50 [size =\"45977600\"]\n  43 [size=\"134946133\", alpha=\"0.16\", expect_size=\"40483840\"] \n  43 -> 47 [size =\"40483840\"]\n  43 -> 48 [size =\"40483840\"]\n  43 -> 49 [size =\"40483840\"]\n  43 -> 50 [size =\"40483840\"]\n  44 [size=\"161805653\", alpha=\"0.18\", expect_size=\"48541696\"] \n  44 -> 45 [size =\"48541696\"]\n  44 -> 46 [size =\"48541696\"]\n  44 -> 48 [size =\"48541696\"]\n  45 [size=\"152439467\", alpha=\"0.08\", expect_size=\"45731840\"] \n  46 [size=\"143305387\", alpha=\"0.12\", expect_size=\"42991616\"] \n  47 [size=\"106683733\", alpha=\"0.18\", expect_size=\"32005120\"] \n  48 [size=\"171997867\", alpha=\"0.05\", expect_size=\"51599360\"] \n  49 [size=\"112547840\", alpha=\"0.08\", expect_size=\"33764352\"] \n  50 [size=\"73489067\", alpha=\"0.13\", expect_size=\"22046720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.625.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121821867\", alpha=\"0.14\", expect_size=\"36546560\"] \n  1 -> 45 [size =\"36546560\"]\n  1 -> 47 [size =\"36546560\"]\n  1 -> 48 [size =\"36546560\"]\n  1 -> 49 [size =\"36546560\"]\n  2 [size=\"147019093\", alpha=\"0.17\", expect_size=\"44105728\"] \n  2 -> 45 [size =\"44105728\"]\n  2 -> 47 [size =\"44105728\"]\n  2 -> 48 [size =\"44105728\"]\n  2 -> 49 [size =\"44105728\"]\n  3 [size=\"125498027\", alpha=\"0.09\", expect_size=\"37649408\"] \n  3 -> 45 [size =\"37649408\"]\n  3 -> 48 [size =\"37649408\"]\n  3 -> 49 [size =\"37649408\"]\n  4 [size=\"48889173\", alpha=\"0.16\", expect_size=\"14666752\"] \n  4 -> 45 [size =\"14666752\"]\n  4 -> 47 [size =\"14666752\"]\n  4 -> 48 [size =\"14666752\"]\n  4 -> 49 [size =\"14666752\"]\n  5 [size=\"81384107\", alpha=\"0.17\", expect_size=\"24415232\"] \n  5 -> 45 [size =\"24415232\"]\n  5 -> 48 [size =\"24415232\"]\n  5 -> 48 [size =\"24415232\"]\n  5 -> 49 [size =\"24415232\"]\n  6 [size=\"102577493\", alpha=\"0.01\", expect_size=\"30773248\"] \n  6 -> 45 [size =\"30773248\"]\n  6 -> 47 [size =\"30773248\"]\n  6 -> 49 [size =\"30773248\"]\n  7 [size=\"156559360\", alpha=\"0.10\", expect_size=\"46967808\"] \n  7 -> 45 [size =\"46967808\"]\n  7 -> 46 [size =\"46967808\"]\n  7 -> 47 [size =\"46967808\"]\n  7 -> 49 [size =\"46967808\"]\n  8 [size=\"150770347\", alpha=\"0.19\", expect_size=\"45231104\"] \n  8 -> 45 [size =\"45231104\"]\n  8 -> 49 [size =\"45231104\"]\n  9 [size=\"42373120\", alpha=\"0.08\", expect_size=\"12711936\"] \n  9 -> 45 [size =\"12711936\"]\n  9 -> 46 [size =\"12711936\"]\n  10 [size=\"161437013\", alpha=\"0.05\", expect_size=\"48431104\"] \n  10 -> 45 [size =\"48431104\"]\n  10 -> 47 [size =\"48431104\"]\n  10 -> 48 [size =\"48431104\"]\n  10 -> 49 [size =\"48431104\"]\n  10 -> 50 [size =\"48431104\"]\n  11 [size=\"46585173\", alpha=\"0.13\", expect_size=\"13975552\"] \n  11 -> 45 [size =\"13975552\"]\n  11 -> 47 [size =\"13975552\"]\n  11 -> 48 [size =\"13975552\"]\n  11 -> 49 [size =\"13975552\"]\n  12 [size=\"153593173\", alpha=\"0.20\", expect_size=\"46077952\"] \n  12 -> 45 [size =\"46077952\"]\n  12 -> 47 [size =\"46077952\"]\n  12 -> 49 [size =\"46077952\"]\n  12 -> 50 [size =\"46077952\"]\n  13 [size=\"132867413\", alpha=\"0.08\", expect_size=\"39860224\"] \n  13 -> 45 [size =\"39860224\"]\n  13 -> 47 [size =\"39860224\"]\n  13 -> 49 [size =\"39860224\"]\n  14 [size=\"49684480\", alpha=\"0.05\", expect_size=\"14905344\"] \n  14 -> 45 [size =\"14905344\"]\n  14 -> 48 [size =\"14905344\"]\n  14 -> 49 [size =\"14905344\"]\n  15 [size=\"173506560\", alpha=\"0.16\", expect_size=\"52051968\"] \n  15 -> 45 [size =\"52051968\"]\n  15 -> 47 [size =\"52051968\"]\n  16 [size=\"152425813\", alpha=\"0.18\", expect_size=\"45727744\"] \n  17 [size=\"163222187\", alpha=\"0.18\", expect_size=\"48966656\"] \n  17 -> 45 [size =\"48966656\"]\n  18 [size=\"83387733\", alpha=\"0.10\", expect_size=\"25016320\"] \n  18 -> 48 [size =\"25016320\"]\n  19 [size=\"75745280\", alpha=\"0.09\", expect_size=\"22723584\"] \n  19 -> 45 [size =\"22723584\"]\n  19 -> 47 [size =\"22723584\"]\n  19 -> 49 [size =\"22723584\"]\n  20 [size=\"140752213\", alpha=\"0.16\", expect_size=\"42225664\"] \n  20 -> 47 [size =\"42225664\"]\n  20 -> 49 [size =\"42225664\"]\n  21 [size=\"23848960\", alpha=\"0.17\", expect_size=\"7154688\"] \n  21 -> 48 [size =\"7154688\"]\n  21 -> 50 [size =\"7154688\"]\n  22 [size=\"126354773\", alpha=\"0.14\", expect_size=\"37906432\"] \n  22 -> 45 [size =\"37906432\"]\n  22 -> 50 [size =\"37906432\"]\n  23 [size=\"126283093\", alpha=\"0.05\", expect_size=\"37884928\"] \n  23 -> 47 [size =\"37884928\"]\n  23 -> 49 [size =\"37884928\"]\n  24 [size=\"35696640\", alpha=\"0.00\", expect_size=\"10708992\"] \n  24 -> 46 [size =\"10708992\"]\n  24 -> 47 [size =\"10708992\"]\n  25 [size=\"77916160\", alpha=\"0.03\", expect_size=\"23374848\"] \n  25 -> 49 [size =\"23374848\"]\n  26 [size=\"43240107\", alpha=\"0.17\", expect_size=\"12972032\"] \n  26 -> 45 [size =\"12972032\"]\n  26 -> 48 [size =\"12972032\"]\n  26 -> 50 [size =\"12972032\"]\n  27 [size=\"27764053\", alpha=\"0.09\", expect_size=\"8329216\"] \n  27 -> 48 [size =\"8329216\"]\n  27 -> 49 [size =\"8329216\"]\n  28 [size=\"168656213\", alpha=\"0.17\", expect_size=\"50596864\"] \n  28 -> 47 [size =\"50596864\"]\n  28 -> 48 [size =\"50596864\"]\n  29 [size=\"90828800\", alpha=\"0.09\", expect_size=\"27248640\"] \n  29 -> 48 [size =\"27248640\"]\n  30 [size=\"160761173\", alpha=\"0.19\", expect_size=\"48228352\"] \n  30 -> 45 [size =\"48228352\"]\n  30 -> 47 [size =\"48228352\"]\n  30 -> 48 [size =\"48228352\"]\n  30 -> 49 [size =\"48228352\"]\n  30 -> 50 [size =\"48228352\"]\n  31 [size=\"132143787\", alpha=\"0.13\", expect_size=\"39643136\"] \n  31 -> 50 [size =\"39643136\"]\n  32 [size=\"109318827\", alpha=\"0.04\", expect_size=\"32795648\"] \n  32 -> 45 [size =\"32795648\"]\n  32 -> 48 [size =\"32795648\"]\n  32 -> 49 [size =\"32795648\"]\n  33 [size=\"64552960\", alpha=\"0.09\", expect_size=\"19365888\"] \n  33 -> 45 [size =\"19365888\"]\n  33 -> 48 [size =\"19365888\"]\n  34 [size=\"105867947\", alpha=\"0.19\", expect_size=\"31760384\"] \n  34 -> 45 [size =\"31760384\"]\n  34 -> 49 [size =\"31760384\"]\n  35 [size=\"107393707\", alpha=\"0.09\", expect_size=\"32218112\"] \n  35 -> 45 [size =\"32218112\"]\n  35 -> 47 [size =\"32218112\"]\n  36 [size=\"133034667\", alpha=\"0.15\", expect_size=\"39910400\"] \n  36 -> 45 [size =\"39910400\"]\n  36 -> 47 [size =\"39910400\"]\n  37 [size=\"110609067\", alpha=\"0.01\", expect_size=\"33182720\"] \n  37 -> 47 [size =\"33182720\"]\n  37 -> 47 [size =\"33182720\"]\n  38 [size=\"21913600\", alpha=\"0.14\", expect_size=\"6574080\"] \n  38 -> 45 [size =\"6574080\"]\n  38 -> 47 [size =\"6574080\"]\n  38 -> 50 [size =\"6574080\"]\n  39 [size=\"157528747\", alpha=\"0.16\", expect_size=\"47258624\"] \n  39 -> 47 [size =\"47258624\"]\n  39 -> 47 [size =\"47258624\"]\n  39 -> 48 [size =\"47258624\"]\n  39 -> 49 [size =\"47258624\"]\n  40 [size=\"70495573\", alpha=\"0.12\", expect_size=\"21148672\"] \n  40 -> 50 [size =\"21148672\"]\n  41 [size=\"62064640\", alpha=\"0.10\", expect_size=\"18619392\"] \n  41 -> 45 [size =\"18619392\"]\n  41 -> 50 [size =\"18619392\"]\n  42 [size=\"161344853\", alpha=\"0.01\", expect_size=\"48403456\"] \n  42 -> 45 [size =\"48403456\"]\n  43 [size=\"32600747\", alpha=\"0.07\", expect_size=\"9780224\"] \n  43 -> 45 [size =\"9780224\"]\n  43 -> 49 [size =\"9780224\"]\n  44 [size=\"105792853\", alpha=\"0.14\", expect_size=\"31737856\"] \n  44 -> 45 [size =\"31737856\"]\n  44 -> 47 [size =\"31737856\"]\n  44 -> 49 [size =\"31737856\"]\n  45 [size=\"98563413\", alpha=\"0.09\", expect_size=\"29569024\"] \n  46 [size=\"166939307\", alpha=\"0.08\", expect_size=\"50081792\"] \n  47 [size=\"131304107\", alpha=\"0.08\", expect_size=\"39391232\"] \n  48 [size=\"137400320\", alpha=\"0.07\", expect_size=\"41220096\"] \n  49 [size=\"93859840\", alpha=\"0.15\", expect_size=\"28157952\"] \n  50 [size=\"58951680\", alpha=\"0.02\", expect_size=\"17685504\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.626.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62275584\", alpha=\"0.01\", expect_size=\"31137792\"] \n  1 -> 19 [size =\"31137792\"]\n  1 -> 20 [size =\"31137792\"]\n  1 -> 21 [size =\"31137792\"]\n  1 -> 24 [size =\"31137792\"]\n  1 -> 26 [size =\"31137792\"]\n  2 [size=\"53782528\", alpha=\"0.12\", expect_size=\"26891264\"] \n  2 -> 15 [size =\"26891264\"]\n  2 -> 18 [size =\"26891264\"]\n  2 -> 21 [size =\"26891264\"]\n  2 -> 22 [size =\"26891264\"]\n  3 [size=\"56799232\", alpha=\"0.13\", expect_size=\"28399616\"] \n  3 -> 15 [size =\"28399616\"]\n  3 -> 19 [size =\"28399616\"]\n  3 -> 21 [size =\"28399616\"]\n  3 -> 23 [size =\"28399616\"]\n  3 -> 25 [size =\"28399616\"]\n  4 [size=\"94631936\", alpha=\"0.09\", expect_size=\"47315968\"] \n  4 -> 15 [size =\"47315968\"]\n  4 -> 19 [size =\"47315968\"]\n  4 -> 21 [size =\"47315968\"]\n  5 [size=\"79398912\", alpha=\"0.10\", expect_size=\"39699456\"] \n  5 -> 14 [size =\"39699456\"]\n  5 -> 18 [size =\"39699456\"]\n  5 -> 19 [size =\"39699456\"]\n  5 -> 20 [size =\"39699456\"]\n  5 -> 21 [size =\"39699456\"]\n  5 -> 24 [size =\"39699456\"]\n  6 [size=\"94812160\", alpha=\"0.12\", expect_size=\"47406080\"] \n  6 -> 17 [size =\"47406080\"]\n  6 -> 19 [size =\"47406080\"]\n  6 -> 24 [size =\"47406080\"]\n  7 [size=\"95369216\", alpha=\"0.11\", expect_size=\"47684608\"] \n  7 -> 14 [size =\"47684608\"]\n  7 -> 17 [size =\"47684608\"]\n  7 -> 18 [size =\"47684608\"]\n  7 -> 24 [size =\"47684608\"]\n  8 [size=\"96514048\", alpha=\"0.17\", expect_size=\"48257024\"] \n  8 -> 19 [size =\"48257024\"]\n  8 -> 22 [size =\"48257024\"]\n  8 -> 24 [size =\"48257024\"]\n  9 [size=\"19922944\", alpha=\"0.02\", expect_size=\"9961472\"] \n  9 -> 16 [size =\"9961472\"]\n  9 -> 20 [size =\"9961472\"]\n  9 -> 21 [size =\"9961472\"]\n  9 -> 26 [size =\"9961472\"]\n  10 [size=\"25597952\", alpha=\"0.17\", expect_size=\"12798976\"] \n  10 -> 16 [size =\"12798976\"]\n  10 -> 18 [size =\"12798976\"]\n  10 -> 19 [size =\"12798976\"]\n  10 -> 23 [size =\"12798976\"]\n  11 [size=\"76081152\", alpha=\"0.03\", expect_size=\"38040576\"] \n  12 [size=\"82638848\", alpha=\"0.19\", expect_size=\"41319424\"] \n  12 -> 15 [size =\"41319424\"]\n  12 -> 16 [size =\"41319424\"]\n  12 -> 18 [size =\"41319424\"]\n  12 -> 24 [size =\"41319424\"]\n  12 -> 25 [size =\"41319424\"]\n  13 [size=\"44251136\", alpha=\"0.09\", expect_size=\"22125568\"] \n  13 -> 14 [size =\"22125568\"]\n  13 -> 19 [size =\"22125568\"]\n  13 -> 21 [size =\"22125568\"]\n  13 -> 22 [size =\"22125568\"]\n  13 -> 24 [size =\"22125568\"]\n  13 -> 25 [size =\"22125568\"]\n  14 [size=\"10852352\", alpha=\"0.17\", expect_size=\"5426176\"] \n  14 -> 29 [size =\"5426176\"]\n  14 -> 30 [size =\"5426176\"]\n  14 -> 31 [size =\"5426176\"]\n  14 -> 33 [size =\"5426176\"]\n  14 -> 34 [size =\"5426176\"]\n  14 -> 35 [size =\"5426176\"]\n  14 -> 36 [size =\"5426176\"]\n  14 -> 37 [size =\"5426176\"]\n  14 -> 40 [size =\"5426176\"]\n  14 -> 41 [size =\"5426176\"]\n  15 [size=\"51345408\", alpha=\"0.18\", expect_size=\"25672704\"] \n  15 -> 27 [size =\"25672704\"]\n  15 -> 28 [size =\"25672704\"]\n  15 -> 30 [size =\"25672704\"]\n  15 -> 31 [size =\"25672704\"]\n  15 -> 34 [size =\"25672704\"]\n  15 -> 35 [size =\"25672704\"]\n  15 -> 36 [size =\"25672704\"]\n  16 [size=\"99180544\", alpha=\"0.19\", expect_size=\"49590272\"] \n  16 -> 31 [size =\"49590272\"]\n  16 -> 32 [size =\"49590272\"]\n  16 -> 33 [size =\"49590272\"]\n  16 -> 35 [size =\"49590272\"]\n  16 -> 41 [size =\"49590272\"]\n  17 [size=\"61478912\", alpha=\"0.10\", expect_size=\"30739456\"] \n  17 -> 28 [size =\"30739456\"]\n  17 -> 39 [size =\"30739456\"]\n  17 -> 41 [size =\"30739456\"]\n  18 [size=\"20512768\", alpha=\"0.12\", expect_size=\"10256384\"] \n  18 -> 27 [size =\"10256384\"]\n  18 -> 31 [size =\"10256384\"]\n  18 -> 35 [size =\"10256384\"]\n  18 -> 37 [size =\"10256384\"]\n  18 -> 41 [size =\"10256384\"]\n  19 [size=\"98557952\", alpha=\"0.03\", expect_size=\"49278976\"] \n  19 -> 31 [size =\"49278976\"]\n  19 -> 34 [size =\"49278976\"]\n  19 -> 41 [size =\"49278976\"]\n  20 [size=\"13733888\", alpha=\"0.16\", expect_size=\"6866944\"] \n  20 -> 30 [size =\"6866944\"]\n  20 -> 37 [size =\"6866944\"]\n  20 -> 41 [size =\"6866944\"]\n  21 [size=\"95727616\", alpha=\"0.19\", expect_size=\"47863808\"] \n  21 -> 27 [size =\"47863808\"]\n  21 -> 30 [size =\"47863808\"]\n  21 -> 35 [size =\"47863808\"]\n  21 -> 37 [size =\"47863808\"]\n  21 -> 40 [size =\"47863808\"]\n  22 [size=\"13897728\", alpha=\"0.12\", expect_size=\"6948864\"] \n  22 -> 37 [size =\"6948864\"]\n  22 -> 38 [size =\"6948864\"]\n  22 -> 41 [size =\"6948864\"]\n  23 [size=\"101601280\", alpha=\"0.15\", expect_size=\"50800640\"] \n  23 -> 33 [size =\"50800640\"]\n  23 -> 35 [size =\"50800640\"]\n  23 -> 39 [size =\"50800640\"]\n  23 -> 40 [size =\"50800640\"]\n  24 [size=\"49829888\", alpha=\"0.15\", expect_size=\"24914944\"] \n  24 -> 41 [size =\"24914944\"]\n  25 [size=\"34672640\", alpha=\"0.11\", expect_size=\"17336320\"] \n  25 -> 27 [size =\"17336320\"]\n  25 -> 31 [size =\"17336320\"]\n  25 -> 34 [size =\"17336320\"]\n  26 [size=\"25929728\", alpha=\"0.04\", expect_size=\"12964864\"] \n  26 -> 27 [size =\"12964864\"]\n  26 -> 29 [size =\"12964864\"]\n  26 -> 31 [size =\"12964864\"]\n  26 -> 32 [size =\"12964864\"]\n  26 -> 34 [size =\"12964864\"]\n  26 -> 35 [size =\"12964864\"]\n  26 -> 40 [size =\"12964864\"]\n  27 [size=\"19767296\", alpha=\"0.15\", expect_size=\"9883648\"] \n  27 -> 42 [size =\"9883648\"]\n  27 -> 44 [size =\"9883648\"]\n  27 -> 47 [size =\"9883648\"]\n  27 -> 48 [size =\"9883648\"]\n  27 -> 49 [size =\"9883648\"]\n  28 [size=\"69101568\", alpha=\"0.04\", expect_size=\"34550784\"] \n  29 [size=\"31266816\", alpha=\"0.15\", expect_size=\"15633408\"] \n  30 [size=\"44546048\", alpha=\"0.10\", expect_size=\"22273024\"] \n  30 -> 42 [size =\"22273024\"]\n  30 -> 43 [size =\"22273024\"]\n  30 -> 49 [size =\"22273024\"]\n  31 [size=\"23646208\", alpha=\"0.18\", expect_size=\"11823104\"] \n  31 -> 42 [size =\"11823104\"]\n  31 -> 43 [size =\"11823104\"]\n  31 -> 44 [size =\"11823104\"]\n  31 -> 49 [size =\"11823104\"]\n  32 [size=\"20357120\", alpha=\"0.02\", expect_size=\"10178560\"] \n  32 -> 43 [size =\"10178560\"]\n  32 -> 44 [size =\"10178560\"]\n  32 -> 44 [size =\"10178560\"]\n  32 -> 48 [size =\"10178560\"]\n  33 [size=\"77977600\", alpha=\"0.12\", expect_size=\"38988800\"] \n  33 -> 42 [size =\"38988800\"]\n  33 -> 43 [size =\"38988800\"]\n  33 -> 45 [size =\"38988800\"]\n  33 -> 46 [size =\"38988800\"]\n  33 -> 48 [size =\"38988800\"]\n  34 [size=\"54081536\", alpha=\"0.03\", expect_size=\"27040768\"] \n  34 -> 45 [size =\"27040768\"]\n  34 -> 46 [size =\"27040768\"]\n  34 -> 48 [size =\"27040768\"]\n  34 -> 50 [size =\"27040768\"]\n  35 [size=\"32811008\", alpha=\"0.03\", expect_size=\"16405504\"] \n  35 -> 42 [size =\"16405504\"]\n  35 -> 44 [size =\"16405504\"]\n  35 -> 46 [size =\"16405504\"]\n  35 -> 47 [size =\"16405504\"]\n  35 -> 48 [size =\"16405504\"]\n  35 -> 49 [size =\"16405504\"]\n  35 -> 50 [size =\"16405504\"]\n  36 [size=\"83083264\", alpha=\"0.01\", expect_size=\"41541632\"] \n  36 -> 43 [size =\"41541632\"]\n  36 -> 46 [size =\"41541632\"]\n  36 -> 47 [size =\"41541632\"]\n  36 -> 49 [size =\"41541632\"]\n  37 [size=\"100481024\", alpha=\"0.10\", expect_size=\"50240512\"] \n  37 -> 42 [size =\"50240512\"]\n  37 -> 43 [size =\"50240512\"]\n  37 -> 46 [size =\"50240512\"]\n  38 [size=\"75517952\", alpha=\"0.02\", expect_size=\"37758976\"] \n  38 -> 42 [size =\"37758976\"]\n  38 -> 44 [size =\"37758976\"]\n  38 -> 48 [size =\"37758976\"]\n  39 [size=\"94222336\", alpha=\"0.12\", expect_size=\"47111168\"] \n  39 -> 43 [size =\"47111168\"]\n  39 -> 44 [size =\"47111168\"]\n  39 -> 46 [size =\"47111168\"]\n  39 -> 48 [size =\"47111168\"]\n  40 [size=\"71661568\", alpha=\"0.02\", expect_size=\"35830784\"] \n  40 -> 42 [size =\"35830784\"]\n  40 -> 43 [size =\"35830784\"]\n  40 -> 48 [size =\"35830784\"]\n  40 -> 50 [size =\"35830784\"]\n  41 [size=\"22945792\", alpha=\"0.11\", expect_size=\"11472896\"] \n  41 -> 44 [size =\"11472896\"]\n  41 -> 47 [size =\"11472896\"]\n  41 -> 48 [size =\"11472896\"]\n  41 -> 49 [size =\"11472896\"]\n  42 [size=\"13674496\", alpha=\"0.00\", expect_size=\"6837248\"] \n  43 [size=\"21628928\", alpha=\"0.09\", expect_size=\"10814464\"] \n  44 [size=\"80574464\", alpha=\"0.06\", expect_size=\"40287232\"] \n  45 [size=\"96507904\", alpha=\"0.08\", expect_size=\"48253952\"] \n  46 [size=\"15921152\", alpha=\"0.14\", expect_size=\"7960576\"] \n  47 [size=\"21878784\", alpha=\"0.01\", expect_size=\"10939392\"] \n  48 [size=\"71004160\", alpha=\"0.01\", expect_size=\"35502080\"] \n  49 [size=\"78954496\", alpha=\"0.05\", expect_size=\"39477248\"] \n  50 [size=\"39430144\", alpha=\"0.17\", expect_size=\"19715072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.627.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82307072\", alpha=\"0.07\", expect_size=\"41153536\"] \n  1 -> 10 [size =\"41153536\"]\n  1 -> 11 [size =\"41153536\"]\n  2 [size=\"52668416\", alpha=\"0.17\", expect_size=\"26334208\"] \n  2 -> 6 [size =\"26334208\"]\n  2 -> 7 [size =\"26334208\"]\n  2 -> 11 [size =\"26334208\"]\n  3 [size=\"43167744\", alpha=\"0.12\", expect_size=\"21583872\"] \n  3 -> 7 [size =\"21583872\"]\n  3 -> 8 [size =\"21583872\"]\n  3 -> 11 [size =\"21583872\"]\n  4 [size=\"47374336\", alpha=\"0.13\", expect_size=\"23687168\"] \n  4 -> 7 [size =\"23687168\"]\n  4 -> 8 [size =\"23687168\"]\n  4 -> 9 [size =\"23687168\"]\n  4 -> 10 [size =\"23687168\"]\n  4 -> 11 [size =\"23687168\"]\n  5 [size=\"77105152\", alpha=\"0.16\", expect_size=\"38552576\"] \n  5 -> 7 [size =\"38552576\"]\n  5 -> 9 [size =\"38552576\"]\n  5 -> 10 [size =\"38552576\"]\n  5 -> 10 [size =\"38552576\"]\n  5 -> 11 [size =\"38552576\"]\n  6 [size=\"12492800\", alpha=\"0.20\", expect_size=\"6246400\"] \n  6 -> 12 [size =\"6246400\"]\n  6 -> 14 [size =\"6246400\"]\n  6 -> 17 [size =\"6246400\"]\n  6 -> 18 [size =\"6246400\"]\n  7 [size=\"30582784\", alpha=\"0.13\", expect_size=\"15291392\"] \n  7 -> 12 [size =\"15291392\"]\n  7 -> 14 [size =\"15291392\"]\n  7 -> 17 [size =\"15291392\"]\n  7 -> 18 [size =\"15291392\"]\n  7 -> 19 [size =\"15291392\"]\n  8 [size=\"88489984\", alpha=\"0.01\", expect_size=\"44244992\"] \n  8 -> 13 [size =\"44244992\"]\n  8 -> 14 [size =\"44244992\"]\n  8 -> 15 [size =\"44244992\"]\n  8 -> 17 [size =\"44244992\"]\n  8 -> 18 [size =\"44244992\"]\n  9 [size=\"76288000\", alpha=\"0.20\", expect_size=\"38144000\"] \n  9 -> 12 [size =\"38144000\"]\n  9 -> 14 [size =\"38144000\"]\n  9 -> 16 [size =\"38144000\"]\n  9 -> 17 [size =\"38144000\"]\n  9 -> 18 [size =\"38144000\"]\n  9 -> 20 [size =\"38144000\"]\n  10 [size=\"48240640\", alpha=\"0.01\", expect_size=\"24120320\"] \n  10 -> 12 [size =\"24120320\"]\n  10 -> 14 [size =\"24120320\"]\n  10 -> 17 [size =\"24120320\"]\n  10 -> 17 [size =\"24120320\"]\n  10 -> 18 [size =\"24120320\"]\n  10 -> 19 [size =\"24120320\"]\n  10 -> 20 [size =\"24120320\"]\n  11 [size=\"86331392\", alpha=\"0.11\", expect_size=\"43165696\"] \n  11 -> 12 [size =\"43165696\"]\n  11 -> 14 [size =\"43165696\"]\n  11 -> 18 [size =\"43165696\"]\n  11 -> 19 [size =\"43165696\"]\n  12 [size=\"24141824\", alpha=\"0.00\", expect_size=\"12070912\"] \n  12 -> 21 [size =\"12070912\"]\n  12 -> 22 [size =\"12070912\"]\n  12 -> 23 [size =\"12070912\"]\n  13 [size=\"11405312\", alpha=\"0.12\", expect_size=\"5702656\"] \n  13 -> 22 [size =\"5702656\"]\n  14 [size=\"66967552\", alpha=\"0.06\", expect_size=\"33483776\"] \n  14 -> 21 [size =\"33483776\"]\n  14 -> 22 [size =\"33483776\"]\n  14 -> 23 [size =\"33483776\"]\n  15 [size=\"35104768\", alpha=\"0.02\", expect_size=\"17552384\"] \n  15 -> 21 [size =\"17552384\"]\n  15 -> 22 [size =\"17552384\"]\n  15 -> 23 [size =\"17552384\"]\n  16 [size=\"17960960\", alpha=\"0.09\", expect_size=\"8980480\"] \n  16 -> 21 [size =\"8980480\"]\n  17 [size=\"16179200\", alpha=\"0.05\", expect_size=\"8089600\"] \n  18 [size=\"77643776\", alpha=\"0.06\", expect_size=\"38821888\"] \n  18 -> 21 [size =\"38821888\"]\n  18 -> 22 [size =\"38821888\"]\n  18 -> 24 [size =\"38821888\"]\n  19 [size=\"84238336\", alpha=\"0.10\", expect_size=\"42119168\"] \n  19 -> 22 [size =\"42119168\"]\n  19 -> 22 [size =\"42119168\"]\n  19 -> 23 [size =\"42119168\"]\n  20 [size=\"82567168\", alpha=\"0.01\", expect_size=\"41283584\"] \n  20 -> 22 [size =\"41283584\"]\n  20 -> 23 [size =\"41283584\"]\n  21 [size=\"85026816\", alpha=\"0.06\", expect_size=\"42513408\"] \n  21 -> 25 [size =\"42513408\"]\n  21 -> 26 [size =\"42513408\"]\n  21 -> 27 [size =\"42513408\"]\n  21 -> 28 [size =\"42513408\"]\n  21 -> 30 [size =\"42513408\"]\n  21 -> 31 [size =\"42513408\"]\n  21 -> 32 [size =\"42513408\"]\n  21 -> 33 [size =\"42513408\"]\n  22 [size=\"40667136\", alpha=\"0.01\", expect_size=\"20333568\"] \n  22 -> 25 [size =\"20333568\"]\n  22 -> 26 [size =\"20333568\"]\n  22 -> 27 [size =\"20333568\"]\n  22 -> 28 [size =\"20333568\"]\n  22 -> 30 [size =\"20333568\"]\n  22 -> 32 [size =\"20333568\"]\n  22 -> 33 [size =\"20333568\"]\n  22 -> 33 [size =\"20333568\"]\n  23 [size=\"42416128\", alpha=\"0.02\", expect_size=\"21208064\"] \n  23 -> 25 [size =\"21208064\"]\n  23 -> 27 [size =\"21208064\"]\n  23 -> 27 [size =\"21208064\"]\n  23 -> 28 [size =\"21208064\"]\n  23 -> 29 [size =\"21208064\"]\n  23 -> 31 [size =\"21208064\"]\n  23 -> 32 [size =\"21208064\"]\n  24 [size=\"99469312\", alpha=\"0.11\", expect_size=\"49734656\"] \n  24 -> 25 [size =\"49734656\"]\n  24 -> 28 [size =\"49734656\"]\n  24 -> 29 [size =\"49734656\"]\n  24 -> 30 [size =\"49734656\"]\n  24 -> 31 [size =\"49734656\"]\n  24 -> 31 [size =\"49734656\"]\n  24 -> 32 [size =\"49734656\"]\n  24 -> 33 [size =\"49734656\"]\n  25 [size=\"34686976\", alpha=\"0.14\", expect_size=\"17343488\"] \n  25 -> 37 [size =\"17343488\"]\n  26 [size=\"45015040\", alpha=\"0.18\", expect_size=\"22507520\"] \n  26 -> 37 [size =\"22507520\"]\n  26 -> 40 [size =\"22507520\"]\n  27 [size=\"89327616\", alpha=\"0.06\", expect_size=\"44663808\"] \n  27 -> 35 [size =\"44663808\"]\n  27 -> 37 [size =\"44663808\"]\n  28 [size=\"17930240\", alpha=\"0.11\", expect_size=\"8965120\"] \n  28 -> 36 [size =\"8965120\"]\n  28 -> 41 [size =\"8965120\"]\n  29 [size=\"45592576\", alpha=\"0.09\", expect_size=\"22796288\"] \n  29 -> 34 [size =\"22796288\"]\n  29 -> 37 [size =\"22796288\"]\n  29 -> 38 [size =\"22796288\"]\n  29 -> 41 [size =\"22796288\"]\n  30 [size=\"94359552\", alpha=\"0.16\", expect_size=\"47179776\"] \n  30 -> 35 [size =\"47179776\"]\n  30 -> 36 [size =\"47179776\"]\n  30 -> 38 [size =\"47179776\"]\n  30 -> 41 [size =\"47179776\"]\n  31 [size=\"97245184\", alpha=\"0.18\", expect_size=\"48622592\"] \n  31 -> 35 [size =\"48622592\"]\n  31 -> 36 [size =\"48622592\"]\n  31 -> 37 [size =\"48622592\"]\n  31 -> 38 [size =\"48622592\"]\n  31 -> 40 [size =\"48622592\"]\n  31 -> 41 [size =\"48622592\"]\n  32 [size=\"31700992\", alpha=\"0.04\", expect_size=\"15850496\"] \n  32 -> 36 [size =\"15850496\"]\n  32 -> 37 [size =\"15850496\"]\n  32 -> 38 [size =\"15850496\"]\n  32 -> 39 [size =\"15850496\"]\n  32 -> 41 [size =\"15850496\"]\n  33 [size=\"34283520\", alpha=\"0.09\", expect_size=\"17141760\"] \n  33 -> 37 [size =\"17141760\"]\n  33 -> 38 [size =\"17141760\"]\n  33 -> 39 [size =\"17141760\"]\n  33 -> 40 [size =\"17141760\"]\n  33 -> 41 [size =\"17141760\"]\n  34 [size=\"43302912\", alpha=\"0.07\", expect_size=\"21651456\"] \n  34 -> 42 [size =\"21651456\"]\n  34 -> 45 [size =\"21651456\"]\n  35 [size=\"95645696\", alpha=\"0.10\", expect_size=\"47822848\"] \n  35 -> 42 [size =\"47822848\"]\n  35 -> 43 [size =\"47822848\"]\n  35 -> 44 [size =\"47822848\"]\n  35 -> 45 [size =\"47822848\"]\n  36 [size=\"69193728\", alpha=\"0.14\", expect_size=\"34596864\"] \n  36 -> 42 [size =\"34596864\"]\n  36 -> 43 [size =\"34596864\"]\n  36 -> 44 [size =\"34596864\"]\n  36 -> 45 [size =\"34596864\"]\n  37 [size=\"60323840\", alpha=\"0.20\", expect_size=\"30161920\"] \n  37 -> 42 [size =\"30161920\"]\n  37 -> 43 [size =\"30161920\"]\n  37 -> 44 [size =\"30161920\"]\n  37 -> 45 [size =\"30161920\"]\n  37 -> 46 [size =\"30161920\"]\n  38 [size=\"89133056\", alpha=\"0.19\", expect_size=\"44566528\"] \n  38 -> 42 [size =\"44566528\"]\n  38 -> 43 [size =\"44566528\"]\n  38 -> 44 [size =\"44566528\"]\n  39 [size=\"44881920\", alpha=\"0.15\", expect_size=\"22440960\"] \n  39 -> 44 [size =\"22440960\"]\n  39 -> 45 [size =\"22440960\"]\n  40 [size=\"87748608\", alpha=\"0.06\", expect_size=\"43874304\"] \n  40 -> 42 [size =\"43874304\"]\n  40 -> 43 [size =\"43874304\"]\n  40 -> 44 [size =\"43874304\"]\n  40 -> 45 [size =\"43874304\"]\n  40 -> 46 [size =\"43874304\"]\n  41 [size=\"66742272\", alpha=\"0.12\", expect_size=\"33371136\"] \n  41 -> 42 [size =\"33371136\"]\n  41 -> 44 [size =\"33371136\"]\n  41 -> 45 [size =\"33371136\"]\n  41 -> 46 [size =\"33371136\"]\n  42 [size=\"57710592\", alpha=\"0.05\", expect_size=\"28855296\"] \n  42 -> 47 [size =\"28855296\"]\n  42 -> 48 [size =\"28855296\"]\n  42 -> 49 [size =\"28855296\"]\n  43 [size=\"74311680\", alpha=\"0.05\", expect_size=\"37155840\"] \n  43 -> 47 [size =\"37155840\"]\n  43 -> 49 [size =\"37155840\"]\n  44 [size=\"23093248\", alpha=\"0.03\", expect_size=\"11546624\"] \n  44 -> 47 [size =\"11546624\"]\n  44 -> 49 [size =\"11546624\"]\n  45 [size=\"54906880\", alpha=\"0.07\", expect_size=\"27453440\"] \n  45 -> 47 [size =\"27453440\"]\n  45 -> 49 [size =\"27453440\"]\n  46 [size=\"100005888\", alpha=\"0.18\", expect_size=\"50002944\"] \n  46 -> 47 [size =\"50002944\"]\n  46 -> 48 [size =\"50002944\"]\n  46 -> 49 [size =\"50002944\"]\n  47 [size=\"71491584\", alpha=\"0.06\", expect_size=\"35745792\"] \n  48 [size=\"69431296\", alpha=\"0.15\", expect_size=\"34715648\"] \n  49 [size=\"66613248\", alpha=\"0.12\", expect_size=\"33306624\"] \n  49 -> 50 [size =\"33306624\"]\n  50 [size=\"42416128\", alpha=\"0.06\", expect_size=\"21208064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.628.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47198720\", alpha=\"0.10\", expect_size=\"18879488\"] \n  1 -> 15 [size =\"18879488\"]\n  1 -> 16 [size =\"18879488\"]\n  1 -> 20 [size =\"18879488\"]\n  1 -> 21 [size =\"18879488\"]\n  1 -> 24 [size =\"18879488\"]\n  1 -> 27 [size =\"18879488\"]\n  2 [size=\"30044160\", alpha=\"0.19\", expect_size=\"12017664\"] \n  2 -> 15 [size =\"12017664\"]\n  2 -> 16 [size =\"12017664\"]\n  2 -> 18 [size =\"12017664\"]\n  2 -> 25 [size =\"12017664\"]\n  2 -> 27 [size =\"12017664\"]\n  3 [size=\"76103680\", alpha=\"0.05\", expect_size=\"30441472\"] \n  3 -> 15 [size =\"30441472\"]\n  3 -> 20 [size =\"30441472\"]\n  3 -> 23 [size =\"30441472\"]\n  3 -> 24 [size =\"30441472\"]\n  3 -> 27 [size =\"30441472\"]\n  3 -> 28 [size =\"30441472\"]\n  4 [size=\"25497600\", alpha=\"0.06\", expect_size=\"10199040\"] \n  4 -> 15 [size =\"10199040\"]\n  4 -> 23 [size =\"10199040\"]\n  5 [size=\"67855360\", alpha=\"0.06\", expect_size=\"27142144\"] \n  5 -> 15 [size =\"27142144\"]\n  5 -> 18 [size =\"27142144\"]\n  5 -> 19 [size =\"27142144\"]\n  5 -> 23 [size =\"27142144\"]\n  5 -> 26 [size =\"27142144\"]\n  6 [size=\"77962240\", alpha=\"0.07\", expect_size=\"31184896\"] \n  6 -> 16 [size =\"31184896\"]\n  6 -> 23 [size =\"31184896\"]\n  6 -> 27 [size =\"31184896\"]\n  6 -> 28 [size =\"31184896\"]\n  7 [size=\"98201600\", alpha=\"0.00\", expect_size=\"39280640\"] \n  7 -> 15 [size =\"39280640\"]\n  7 -> 16 [size =\"39280640\"]\n  7 -> 18 [size =\"39280640\"]\n  7 -> 28 [size =\"39280640\"]\n  8 [size=\"112394240\", alpha=\"0.03\", expect_size=\"44957696\"] \n  8 -> 24 [size =\"44957696\"]\n  8 -> 26 [size =\"44957696\"]\n  8 -> 28 [size =\"44957696\"]\n  9 [size=\"129382400\", alpha=\"0.12\", expect_size=\"51752960\"] \n  9 -> 21 [size =\"51752960\"]\n  9 -> 25 [size =\"51752960\"]\n  9 -> 27 [size =\"51752960\"]\n  9 -> 28 [size =\"51752960\"]\n  10 [size=\"70041600\", alpha=\"0.02\", expect_size=\"28016640\"] \n  10 -> 17 [size =\"28016640\"]\n  10 -> 20 [size =\"28016640\"]\n  10 -> 26 [size =\"28016640\"]\n  10 -> 28 [size =\"28016640\"]\n  11 [size=\"107735040\", alpha=\"0.05\", expect_size=\"43094016\"] \n  11 -> 16 [size =\"43094016\"]\n  11 -> 21 [size =\"43094016\"]\n  11 -> 23 [size =\"43094016\"]\n  11 -> 24 [size =\"43094016\"]\n  12 [size=\"50967040\", alpha=\"0.05\", expect_size=\"20386816\"] \n  12 -> 16 [size =\"20386816\"]\n  12 -> 19 [size =\"20386816\"]\n  12 -> 20 [size =\"20386816\"]\n  12 -> 21 [size =\"20386816\"]\n  12 -> 22 [size =\"20386816\"]\n  12 -> 23 [size =\"20386816\"]\n  12 -> 25 [size =\"20386816\"]\n  12 -> 27 [size =\"20386816\"]\n  13 [size=\"43704320\", alpha=\"0.09\", expect_size=\"17481728\"] \n  13 -> 20 [size =\"17481728\"]\n  13 -> 22 [size =\"17481728\"]\n  13 -> 23 [size =\"17481728\"]\n  13 -> 27 [size =\"17481728\"]\n  14 [size=\"74316800\", alpha=\"0.16\", expect_size=\"29726720\"] \n  14 -> 15 [size =\"29726720\"]\n  14 -> 24 [size =\"29726720\"]\n  15 [size=\"107089920\", alpha=\"0.09\", expect_size=\"42835968\"] \n  15 -> 29 [size =\"42835968\"]\n  15 -> 31 [size =\"42835968\"]\n  15 -> 34 [size =\"42835968\"]\n  16 [size=\"23636480\", alpha=\"0.06\", expect_size=\"9454592\"] \n  16 -> 35 [size =\"9454592\"]\n  16 -> 38 [size =\"9454592\"]\n  16 -> 39 [size =\"9454592\"]\n  16 -> 40 [size =\"9454592\"]\n  16 -> 42 [size =\"9454592\"]\n  17 [size=\"62960640\", alpha=\"0.07\", expect_size=\"25184256\"] \n  17 -> 33 [size =\"25184256\"]\n  17 -> 40 [size =\"25184256\"]\n  17 -> 42 [size =\"25184256\"]\n  18 [size=\"63429120\", alpha=\"0.16\", expect_size=\"25371648\"] \n  18 -> 32 [size =\"25371648\"]\n  18 -> 33 [size =\"25371648\"]\n  18 -> 38 [size =\"25371648\"]\n  18 -> 39 [size =\"25371648\"]\n  19 [size=\"79127040\", alpha=\"0.13\", expect_size=\"31650816\"] \n  19 -> 32 [size =\"31650816\"]\n  19 -> 37 [size =\"31650816\"]\n  19 -> 38 [size =\"31650816\"]\n  19 -> 39 [size =\"31650816\"]\n  19 -> 42 [size =\"31650816\"]\n  20 [size=\"31298560\", alpha=\"0.14\", expect_size=\"12519424\"] \n  20 -> 29 [size =\"12519424\"]\n  20 -> 30 [size =\"12519424\"]\n  20 -> 32 [size =\"12519424\"]\n  20 -> 33 [size =\"12519424\"]\n  20 -> 37 [size =\"12519424\"]\n  20 -> 39 [size =\"12519424\"]\n  21 [size=\"40604160\", alpha=\"0.01\", expect_size=\"16241664\"] \n  21 -> 30 [size =\"16241664\"]\n  21 -> 32 [size =\"16241664\"]\n  21 -> 33 [size =\"16241664\"]\n  21 -> 35 [size =\"16241664\"]\n  21 -> 37 [size =\"16241664\"]\n  22 [size=\"68139520\", alpha=\"0.11\", expect_size=\"27255808\"] \n  22 -> 30 [size =\"27255808\"]\n  22 -> 36 [size =\"27255808\"]\n  22 -> 38 [size =\"27255808\"]\n  23 [size=\"98846720\", alpha=\"0.12\", expect_size=\"39538688\"] \n  23 -> 33 [size =\"39538688\"]\n  24 [size=\"32775680\", alpha=\"0.15\", expect_size=\"13110272\"] \n  24 -> 29 [size =\"13110272\"]\n  24 -> 33 [size =\"13110272\"]\n  24 -> 35 [size =\"13110272\"]\n  24 -> 36 [size =\"13110272\"]\n  24 -> 40 [size =\"13110272\"]\n  24 -> 41 [size =\"13110272\"]\n  24 -> 42 [size =\"13110272\"]\n  25 [size=\"127851520\", alpha=\"0.07\", expect_size=\"51140608\"] \n  25 -> 29 [size =\"51140608\"]\n  25 -> 30 [size =\"51140608\"]\n  25 -> 33 [size =\"51140608\"]\n  25 -> 34 [size =\"51140608\"]\n  25 -> 36 [size =\"51140608\"]\n  25 -> 40 [size =\"51140608\"]\n  25 -> 41 [size =\"51140608\"]\n  25 -> 42 [size =\"51140608\"]\n  26 [size=\"62333440\", alpha=\"0.10\", expect_size=\"24933376\"] \n  26 -> 29 [size =\"24933376\"]\n  26 -> 30 [size =\"24933376\"]\n  26 -> 32 [size =\"24933376\"]\n  26 -> 36 [size =\"24933376\"]\n  26 -> 37 [size =\"24933376\"]\n  26 -> 38 [size =\"24933376\"]\n  26 -> 40 [size =\"24933376\"]\n  27 [size=\"95024640\", alpha=\"0.08\", expect_size=\"38009856\"] \n  27 -> 34 [size =\"38009856\"]\n  28 [size=\"20462080\", alpha=\"0.02\", expect_size=\"8184832\"] \n  28 -> 32 [size =\"8184832\"]\n  28 -> 39 [size =\"8184832\"]\n  28 -> 40 [size =\"8184832\"]\n  29 [size=\"115343360\", alpha=\"0.17\", expect_size=\"46137344\"] \n  29 -> 44 [size =\"46137344\"]\n  29 -> 47 [size =\"46137344\"]\n  29 -> 48 [size =\"46137344\"]\n  29 -> 49 [size =\"46137344\"]\n  29 -> 50 [size =\"46137344\"]\n  30 [size=\"71160320\", alpha=\"0.00\", expect_size=\"28464128\"] \n  30 -> 44 [size =\"28464128\"]\n  30 -> 46 [size =\"28464128\"]\n  30 -> 47 [size =\"28464128\"]\n  30 -> 50 [size =\"28464128\"]\n  31 [size=\"35614720\", alpha=\"0.00\", expect_size=\"14245888\"] \n  31 -> 44 [size =\"14245888\"]\n  31 -> 45 [size =\"14245888\"]\n  31 -> 48 [size =\"14245888\"]\n  31 -> 50 [size =\"14245888\"]\n  32 [size=\"42798080\", alpha=\"0.06\", expect_size=\"17119232\"] \n  32 -> 48 [size =\"17119232\"]\n  33 [size=\"109649920\", alpha=\"0.18\", expect_size=\"43859968\"] \n  33 -> 48 [size =\"43859968\"]\n  33 -> 49 [size =\"43859968\"]\n  34 [size=\"63234560\", alpha=\"0.20\", expect_size=\"25293824\"] \n  34 -> 48 [size =\"25293824\"]\n  35 [size=\"33914880\", alpha=\"0.18\", expect_size=\"13565952\"] \n  35 -> 45 [size =\"13565952\"]\n  35 -> 48 [size =\"13565952\"]\n  35 -> 50 [size =\"13565952\"]\n  36 [size=\"76439040\", alpha=\"0.17\", expect_size=\"30575616\"] \n  36 -> 44 [size =\"30575616\"]\n  36 -> 45 [size =\"30575616\"]\n  37 [size=\"19732480\", alpha=\"0.05\", expect_size=\"7892992\"] \n  37 -> 43 [size =\"7892992\"]\n  37 -> 44 [size =\"7892992\"]\n  37 -> 45 [size =\"7892992\"]\n  38 [size=\"66859520\", alpha=\"0.02\", expect_size=\"26743808\"] \n  38 -> 43 [size =\"26743808\"]\n  39 [size=\"81177600\", alpha=\"0.09\", expect_size=\"32471040\"] \n  39 -> 44 [size =\"32471040\"]\n  39 -> 47 [size =\"32471040\"]\n  40 [size=\"60997120\", alpha=\"0.00\", expect_size=\"24398848\"] \n  40 -> 44 [size =\"24398848\"]\n  40 -> 45 [size =\"24398848\"]\n  40 -> 47 [size =\"24398848\"]\n  40 -> 48 [size =\"24398848\"]\n  41 [size=\"63255040\", alpha=\"0.16\", expect_size=\"25302016\"] \n  41 -> 45 [size =\"25302016\"]\n  41 -> 45 [size =\"25302016\"]\n  42 [size=\"64611840\", alpha=\"0.00\", expect_size=\"25844736\"] \n  42 -> 47 [size =\"25844736\"]\n  42 -> 50 [size =\"25844736\"]\n  43 [size=\"102929920\", alpha=\"0.20\", expect_size=\"41171968\"] \n  44 [size=\"90846720\", alpha=\"0.02\", expect_size=\"36338688\"] \n  45 [size=\"89569280\", alpha=\"0.05\", expect_size=\"35827712\"] \n  46 [size=\"75118080\", alpha=\"0.15\", expect_size=\"30047232\"] \n  47 [size=\"58024960\", alpha=\"0.19\", expect_size=\"23209984\"] \n  48 [size=\"88143360\", alpha=\"0.05\", expect_size=\"35257344\"] \n  49 [size=\"97827840\", alpha=\"0.08\", expect_size=\"39131136\"] \n  50 [size=\"35141120\", alpha=\"0.01\", expect_size=\"14056448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.629.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45694976\", alpha=\"0.01\", expect_size=\"22847488\"] \n  1 -> 2 [size =\"22847488\"]\n  2 [size=\"57468928\", alpha=\"0.00\", expect_size=\"28734464\"] \n  2 -> 3 [size =\"28734464\"]\n  3 [size=\"85538816\", alpha=\"0.01\", expect_size=\"42769408\"] \n  3 -> 4 [size =\"42769408\"]\n  4 [size=\"54124544\", alpha=\"0.07\", expect_size=\"27062272\"] \n  4 -> 5 [size =\"27062272\"]\n  5 [size=\"42786816\", alpha=\"0.05\", expect_size=\"21393408\"] \n  5 -> 6 [size =\"21393408\"]\n  6 [size=\"27539456\", alpha=\"0.06\", expect_size=\"13769728\"] \n  6 -> 7 [size =\"13769728\"]\n  7 [size=\"34885632\", alpha=\"0.08\", expect_size=\"17442816\"] \n  7 -> 8 [size =\"17442816\"]\n  8 [size=\"52250624\", alpha=\"0.01\", expect_size=\"26125312\"] \n  8 -> 9 [size =\"26125312\"]\n  9 [size=\"75296768\", alpha=\"0.01\", expect_size=\"37648384\"] \n  9 -> 10 [size =\"37648384\"]\n  10 [size=\"22366208\", alpha=\"0.15\", expect_size=\"11183104\"] \n  10 -> 11 [size =\"11183104\"]\n  11 [size=\"80474112\", alpha=\"0.17\", expect_size=\"40237056\"] \n  11 -> 12 [size =\"40237056\"]\n  12 [size=\"85655552\", alpha=\"0.07\", expect_size=\"42827776\"] \n  12 -> 13 [size =\"42827776\"]\n  13 [size=\"87083008\", alpha=\"0.04\", expect_size=\"43541504\"] \n  13 -> 14 [size =\"43541504\"]\n  14 [size=\"90474496\", alpha=\"0.19\", expect_size=\"45237248\"] \n  14 -> 15 [size =\"45237248\"]\n  15 [size=\"29980672\", alpha=\"0.15\", expect_size=\"14990336\"] \n  15 -> 16 [size =\"14990336\"]\n  16 [size=\"55572480\", alpha=\"0.15\", expect_size=\"27786240\"] \n  16 -> 17 [size =\"27786240\"]\n  17 [size=\"81917952\", alpha=\"0.13\", expect_size=\"40958976\"] \n  17 -> 18 [size =\"40958976\"]\n  18 [size=\"27611136\", alpha=\"0.00\", expect_size=\"13805568\"] \n  18 -> 19 [size =\"13805568\"]\n  19 [size=\"34490368\", alpha=\"0.11\", expect_size=\"17245184\"] \n  19 -> 20 [size =\"17245184\"]\n  20 [size=\"41103360\", alpha=\"0.12\", expect_size=\"20551680\"] \n  20 -> 21 [size =\"20551680\"]\n  21 [size=\"15990784\", alpha=\"0.00\", expect_size=\"7995392\"] \n  21 -> 22 [size =\"7995392\"]\n  22 [size=\"98516992\", alpha=\"0.19\", expect_size=\"49258496\"] \n  22 -> 23 [size =\"49258496\"]\n  23 [size=\"36941824\", alpha=\"0.13\", expect_size=\"18470912\"] \n  23 -> 24 [size =\"18470912\"]\n  24 [size=\"53526528\", alpha=\"0.16\", expect_size=\"26763264\"] \n  24 -> 25 [size =\"26763264\"]\n  25 [size=\"48986112\", alpha=\"0.07\", expect_size=\"24493056\"] \n  25 -> 26 [size =\"24493056\"]\n  26 [size=\"25765888\", alpha=\"0.00\", expect_size=\"12882944\"] \n  26 -> 27 [size =\"12882944\"]\n  27 [size=\"95459328\", alpha=\"0.20\", expect_size=\"47729664\"] \n  27 -> 28 [size =\"47729664\"]\n  28 [size=\"61358080\", alpha=\"0.08\", expect_size=\"30679040\"] \n  28 -> 29 [size =\"30679040\"]\n  29 [size=\"61980672\", alpha=\"0.09\", expect_size=\"30990336\"] \n  29 -> 30 [size =\"30990336\"]\n  30 [size=\"19505152\", alpha=\"0.13\", expect_size=\"9752576\"] \n  30 -> 31 [size =\"9752576\"]\n  31 [size=\"75618304\", alpha=\"0.12\", expect_size=\"37809152\"] \n  31 -> 32 [size =\"37809152\"]\n  32 [size=\"76787712\", alpha=\"0.07\", expect_size=\"38393856\"] \n  32 -> 33 [size =\"38393856\"]\n  33 [size=\"69998592\", alpha=\"0.19\", expect_size=\"34999296\"] \n  33 -> 34 [size =\"34999296\"]\n  34 [size=\"35930112\", alpha=\"0.07\", expect_size=\"17965056\"] \n  34 -> 35 [size =\"17965056\"]\n  35 [size=\"18227200\", alpha=\"0.19\", expect_size=\"9113600\"] \n  35 -> 36 [size =\"9113600\"]\n  36 [size=\"49188864\", alpha=\"0.01\", expect_size=\"24594432\"] \n  36 -> 37 [size =\"24594432\"]\n  37 [size=\"51499008\", alpha=\"0.18\", expect_size=\"25749504\"] \n  37 -> 38 [size =\"25749504\"]\n  38 [size=\"49557504\", alpha=\"0.19\", expect_size=\"24778752\"] \n  38 -> 39 [size =\"24778752\"]\n  39 [size=\"85133312\", alpha=\"0.04\", expect_size=\"42566656\"] \n  39 -> 40 [size =\"42566656\"]\n  40 [size=\"34291712\", alpha=\"0.16\", expect_size=\"17145856\"] \n  40 -> 41 [size =\"17145856\"]\n  41 [size=\"97662976\", alpha=\"0.10\", expect_size=\"48831488\"] \n  41 -> 42 [size =\"48831488\"]\n  42 [size=\"62117888\", alpha=\"0.02\", expect_size=\"31058944\"] \n  42 -> 43 [size =\"31058944\"]\n  43 [size=\"97200128\", alpha=\"0.19\", expect_size=\"48600064\"] \n  43 -> 44 [size =\"48600064\"]\n  44 [size=\"90763264\", alpha=\"0.06\", expect_size=\"45381632\"] \n  44 -> 45 [size =\"45381632\"]\n  45 [size=\"28426240\", alpha=\"0.01\", expect_size=\"14213120\"] \n  45 -> 46 [size =\"14213120\"]\n  46 [size=\"24059904\", alpha=\"0.19\", expect_size=\"12029952\"] \n  46 -> 47 [size =\"12029952\"]\n  47 [size=\"28375040\", alpha=\"0.15\", expect_size=\"14187520\"] \n  47 -> 48 [size =\"14187520\"]\n  48 [size=\"18438144\", alpha=\"0.02\", expect_size=\"9219072\"] \n  48 -> 49 [size =\"9219072\"]\n  49 [size=\"11370496\", alpha=\"0.00\", expect_size=\"5685248\"] \n  49 -> 50 [size =\"5685248\"]\n  50 [size=\"31180800\", alpha=\"0.20\", expect_size=\"15590400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104308053\", alpha=\"0.20\", expect_size=\"31292416\"] \n  1 -> 4 [size =\"31292416\"]\n  2 [size=\"45919573\", alpha=\"0.03\", expect_size=\"13775872\"] \n  2 -> 4 [size =\"13775872\"]\n  2 -> 5 [size =\"13775872\"]\n  3 [size=\"134341973\", alpha=\"0.07\", expect_size=\"40302592\"] \n  4 [size=\"80298667\", alpha=\"0.02\", expect_size=\"24089600\"] \n  4 -> 8 [size =\"24089600\"]\n  5 [size=\"169055573\", alpha=\"0.16\", expect_size=\"50716672\"] \n  5 -> 6 [size =\"50716672\"]\n  5 -> 7 [size =\"50716672\"]\n  6 [size=\"142551040\", alpha=\"0.20\", expect_size=\"42765312\"] \n  6 -> 11 [size =\"42765312\"]\n  7 [size=\"82691413\", alpha=\"0.19\", expect_size=\"24807424\"] \n  8 [size=\"135174827\", alpha=\"0.02\", expect_size=\"40552448\"] \n  8 -> 9 [size =\"40552448\"]\n  8 -> 10 [size =\"40552448\"]\n  9 [size=\"115094187\", alpha=\"0.00\", expect_size=\"34528256\"] \n  9 -> 13 [size =\"34528256\"]\n  10 [size=\"166891520\", alpha=\"0.09\", expect_size=\"50067456\"] \n  10 -> 12 [size =\"50067456\"]\n  10 -> 14 [size =\"50067456\"]\n  11 [size=\"113237333\", alpha=\"0.12\", expect_size=\"33971200\"] \n  11 -> 13 [size =\"33971200\"]\n  12 [size=\"113049600\", alpha=\"0.01\", expect_size=\"33914880\"] \n  13 [size=\"133014187\", alpha=\"0.11\", expect_size=\"39904256\"] \n  13 -> 15 [size =\"39904256\"]\n  14 [size=\"34484907\", alpha=\"0.04\", expect_size=\"10345472\"] \n  14 -> 15 [size =\"10345472\"]\n  14 -> 16 [size =\"10345472\"]\n  15 [size=\"47363413\", alpha=\"0.01\", expect_size=\"14209024\"] \n  15 -> 17 [size =\"14209024\"]\n  15 -> 18 [size =\"14209024\"]\n  15 -> 19 [size =\"14209024\"]\n  16 [size=\"170926080\", alpha=\"0.14\", expect_size=\"51277824\"] \n  17 [size=\"167031467\", alpha=\"0.04\", expect_size=\"50109440\"] \n  17 -> 21 [size =\"50109440\"]\n  17 -> 22 [size =\"50109440\"]\n  18 [size=\"158184107\", alpha=\"0.20\", expect_size=\"47455232\"] \n  18 -> 20 [size =\"47455232\"]\n  18 -> 21 [size =\"47455232\"]\n  18 -> 22 [size =\"47455232\"]\n  19 [size=\"172189013\", alpha=\"0.13\", expect_size=\"51656704\"] \n  19 -> 20 [size =\"51656704\"]\n  20 [size=\"17602560\", alpha=\"0.03\", expect_size=\"5280768\"] \n  20 -> 23 [size =\"5280768\"]\n  20 -> 24 [size =\"5280768\"]\n  21 [size=\"86483627\", alpha=\"0.04\", expect_size=\"25945088\"] \n  21 -> 25 [size =\"25945088\"]\n  22 [size=\"21937493\", alpha=\"0.08\", expect_size=\"6581248\"] \n  23 [size=\"29545813\", alpha=\"0.08\", expect_size=\"8863744\"] \n  23 -> 26 [size =\"8863744\"]\n  23 -> 27 [size =\"8863744\"]\n  24 [size=\"113421653\", alpha=\"0.15\", expect_size=\"34026496\"] \n  25 [size=\"141496320\", alpha=\"0.02\", expect_size=\"42448896\"] \n  26 [size=\"148551680\", alpha=\"0.04\", expect_size=\"44565504\"] \n  26 -> 29 [size =\"44565504\"]\n  27 [size=\"104164693\", alpha=\"0.15\", expect_size=\"31249408\"] \n  27 -> 28 [size =\"31249408\"]\n  28 [size=\"135082667\", alpha=\"0.01\", expect_size=\"40524800\"] \n  28 -> 31 [size =\"40524800\"]\n  29 [size=\"133253120\", alpha=\"0.19\", expect_size=\"39975936\"] \n  29 -> 30 [size =\"39975936\"]\n  30 [size=\"78605653\", alpha=\"0.17\", expect_size=\"23581696\"] \n  30 -> 32 [size =\"23581696\"]\n  31 [size=\"101734400\", alpha=\"0.06\", expect_size=\"30520320\"] \n  31 -> 33 [size =\"30520320\"]\n  31 -> 34 [size =\"30520320\"]\n  32 [size=\"132188160\", alpha=\"0.08\", expect_size=\"39656448\"] \n  32 -> 36 [size =\"39656448\"]\n  33 [size=\"41123840\", alpha=\"0.04\", expect_size=\"12337152\"] \n  33 -> 36 [size =\"12337152\"]\n  33 -> 37 [size =\"12337152\"]\n  34 [size=\"102696960\", alpha=\"0.02\", expect_size=\"30809088\"] \n  34 -> 35 [size =\"30809088\"]\n  35 [size=\"65163947\", alpha=\"0.05\", expect_size=\"19549184\"] \n  35 -> 38 [size =\"19549184\"]\n  35 -> 39 [size =\"19549184\"]\n  36 [size=\"80100693\", alpha=\"0.06\", expect_size=\"24030208\"] \n  36 -> 39 [size =\"24030208\"]\n  36 -> 40 [size =\"24030208\"]\n  37 [size=\"115302400\", alpha=\"0.07\", expect_size=\"34590720\"] \n  37 -> 40 [size =\"34590720\"]\n  38 [size=\"78694400\", alpha=\"0.06\", expect_size=\"23608320\"] \n  38 -> 41 [size =\"23608320\"]\n  39 [size=\"87982080\", alpha=\"0.04\", expect_size=\"26394624\"] \n  39 -> 42 [size =\"26394624\"]\n  40 [size=\"83496960\", alpha=\"0.02\", expect_size=\"25049088\"] \n  40 -> 41 [size =\"25049088\"]\n  41 [size=\"57364480\", alpha=\"0.10\", expect_size=\"17209344\"] \n  41 -> 43 [size =\"17209344\"]\n  42 [size=\"105352533\", alpha=\"0.17\", expect_size=\"31605760\"] \n  42 -> 44 [size =\"31605760\"]\n  42 -> 45 [size =\"31605760\"]\n  43 [size=\"165744640\", alpha=\"0.06\", expect_size=\"49723392\"] \n  44 [size=\"39516160\", alpha=\"0.08\", expect_size=\"11854848\"] \n  44 -> 47 [size =\"11854848\"]\n  45 [size=\"58245120\", alpha=\"0.05\", expect_size=\"17473536\"] \n  45 -> 46 [size =\"17473536\"]\n  46 [size=\"94535680\", alpha=\"0.19\", expect_size=\"28360704\"] \n  47 [size=\"144554667\", alpha=\"0.04\", expect_size=\"43366400\"] \n  47 -> 48 [size =\"43366400\"]\n  47 -> 49 [size =\"43366400\"]\n  47 -> 50 [size =\"43366400\"]\n  48 [size=\"43281067\", alpha=\"0.04\", expect_size=\"12984320\"] \n  49 [size=\"88715947\", alpha=\"0.18\", expect_size=\"26614784\"] \n  50 [size=\"120999253\", alpha=\"0.01\", expect_size=\"36299776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.630.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"37048320\", alpha=\"0.01\", expect_size=\"14819328\"] \n  1 -> 6 [size =\"14819328\"]\n  2 [size=\"76787200\", alpha=\"0.19\", expect_size=\"30714880\"] \n  2 -> 4 [size =\"30714880\"]\n  2 -> 5 [size =\"30714880\"]\n  3 [size=\"44695040\", alpha=\"0.19\", expect_size=\"17878016\"] \n  4 [size=\"115345920\", alpha=\"0.11\", expect_size=\"46138368\"] \n  4 -> 7 [size =\"46138368\"]\n  4 -> 8 [size =\"46138368\"]\n  5 [size=\"107417600\", alpha=\"0.15\", expect_size=\"42967040\"] \n  5 -> 8 [size =\"42967040\"]\n  6 [size=\"60556800\", alpha=\"0.16\", expect_size=\"24222720\"] \n  6 -> 7 [size =\"24222720\"]\n  7 [size=\"56568320\", alpha=\"0.11\", expect_size=\"22627328\"] \n  7 -> 9 [size =\"22627328\"]\n  7 -> 11 [size =\"22627328\"]\n  8 [size=\"30748160\", alpha=\"0.18\", expect_size=\"12299264\"] \n  8 -> 10 [size =\"12299264\"]\n  8 -> 11 [size =\"12299264\"]\n  9 [size=\"74337280\", alpha=\"0.05\", expect_size=\"29734912\"] \n  9 -> 12 [size =\"29734912\"]\n  9 -> 13 [size =\"29734912\"]\n  10 [size=\"29752320\", alpha=\"0.19\", expect_size=\"11900928\"] \n  11 [size=\"97269760\", alpha=\"0.01\", expect_size=\"38907904\"] \n  12 [size=\"104179200\", alpha=\"0.03\", expect_size=\"41671680\"] \n  12 -> 14 [size =\"41671680\"]\n  12 -> 15 [size =\"41671680\"]\n  13 [size=\"96181760\", alpha=\"0.08\", expect_size=\"38472704\"] \n  13 -> 15 [size =\"38472704\"]\n  14 [size=\"87534080\", alpha=\"0.00\", expect_size=\"35013632\"] \n  14 -> 16 [size =\"35013632\"]\n  14 -> 17 [size =\"35013632\"]\n  14 -> 18 [size =\"35013632\"]\n  15 [size=\"37073920\", alpha=\"0.10\", expect_size=\"14829568\"] \n  15 -> 16 [size =\"14829568\"]\n  15 -> 17 [size =\"14829568\"]\n  15 -> 18 [size =\"14829568\"]\n  16 [size=\"127823360\", alpha=\"0.00\", expect_size=\"51129344\"] \n  16 -> 19 [size =\"51129344\"]\n  16 -> 21 [size =\"51129344\"]\n  17 [size=\"105364480\", alpha=\"0.07\", expect_size=\"42145792\"] \n  17 -> 19 [size =\"42145792\"]\n  17 -> 20 [size =\"42145792\"]\n  17 -> 21 [size =\"42145792\"]\n  18 [size=\"53621760\", alpha=\"0.16\", expect_size=\"21448704\"] \n  18 -> 19 [size =\"21448704\"]\n  19 [size=\"40878080\", alpha=\"0.00\", expect_size=\"16351232\"] \n  19 -> 22 [size =\"16351232\"]\n  19 -> 24 [size =\"16351232\"]\n  20 [size=\"67816960\", alpha=\"0.19\", expect_size=\"27126784\"] \n  20 -> 23 [size =\"27126784\"]\n  21 [size=\"59404800\", alpha=\"0.02\", expect_size=\"23761920\"] \n  21 -> 22 [size =\"23761920\"]\n  21 -> 23 [size =\"23761920\"]\n  22 [size=\"66022400\", alpha=\"0.15\", expect_size=\"26408960\"] \n  22 -> 26 [size =\"26408960\"]\n  22 -> 27 [size =\"26408960\"]\n  23 [size=\"82268160\", alpha=\"0.14\", expect_size=\"32907264\"] \n  23 -> 25 [size =\"32907264\"]\n  23 -> 26 [size =\"32907264\"]\n  23 -> 27 [size =\"32907264\"]\n  24 [size=\"13926400\", alpha=\"0.10\", expect_size=\"5570560\"] \n  25 [size=\"14635520\", alpha=\"0.02\", expect_size=\"5854208\"] \n  25 -> 28 [size =\"5854208\"]\n  25 -> 29 [size =\"5854208\"]\n  26 [size=\"73308160\", alpha=\"0.02\", expect_size=\"29323264\"] \n  26 -> 28 [size =\"29323264\"]\n  27 [size=\"75174400\", alpha=\"0.10\", expect_size=\"30069760\"] \n  28 [size=\"117690880\", alpha=\"0.01\", expect_size=\"47076352\"] \n  28 -> 30 [size =\"47076352\"]\n  28 -> 31 [size =\"47076352\"]\n  29 [size=\"91735040\", alpha=\"0.01\", expect_size=\"36694016\"] \n  29 -> 31 [size =\"36694016\"]\n  30 [size=\"93552640\", alpha=\"0.05\", expect_size=\"37421056\"] \n  30 -> 33 [size =\"37421056\"]\n  31 [size=\"87191040\", alpha=\"0.03\", expect_size=\"34876416\"] \n  31 -> 32 [size =\"34876416\"]\n  31 -> 33 [size =\"34876416\"]\n  32 [size=\"96591360\", alpha=\"0.17\", expect_size=\"38636544\"] \n  32 -> 34 [size =\"38636544\"]\n  32 -> 35 [size =\"38636544\"]\n  32 -> 36 [size =\"38636544\"]\n  33 [size=\"67468800\", alpha=\"0.04\", expect_size=\"26987520\"] \n  33 -> 34 [size =\"26987520\"]\n  33 -> 35 [size =\"26987520\"]\n  33 -> 36 [size =\"26987520\"]\n  34 [size=\"31418880\", alpha=\"0.04\", expect_size=\"12567552\"] \n  34 -> 37 [size =\"12567552\"]\n  34 -> 38 [size =\"12567552\"]\n  35 [size=\"90675200\", alpha=\"0.09\", expect_size=\"36270080\"] \n  36 [size=\"103621120\", alpha=\"0.12\", expect_size=\"41448448\"] \n  37 [size=\"117708800\", alpha=\"0.12\", expect_size=\"47083520\"] \n  37 -> 39 [size =\"47083520\"]\n  37 -> 40 [size =\"47083520\"]\n  37 -> 41 [size =\"47083520\"]\n  38 [size=\"58434560\", alpha=\"0.18\", expect_size=\"23373824\"] \n  38 -> 39 [size =\"23373824\"]\n  38 -> 40 [size =\"23373824\"]\n  38 -> 41 [size =\"23373824\"]\n  39 [size=\"61404160\", alpha=\"0.09\", expect_size=\"24561664\"] \n  39 -> 42 [size =\"24561664\"]\n  39 -> 44 [size =\"24561664\"]\n  40 [size=\"69885440\", alpha=\"0.09\", expect_size=\"27954176\"] \n  40 -> 42 [size =\"27954176\"]\n  41 [size=\"100523520\", alpha=\"0.17\", expect_size=\"40209408\"] \n  41 -> 43 [size =\"40209408\"]\n  42 [size=\"119516160\", alpha=\"0.14\", expect_size=\"47806464\"] \n  42 -> 46 [size =\"47806464\"]\n  42 -> 47 [size =\"47806464\"]\n  43 [size=\"99975680\", alpha=\"0.03\", expect_size=\"39990272\"] \n  43 -> 45 [size =\"39990272\"]\n  44 [size=\"124976640\", alpha=\"0.12\", expect_size=\"49990656\"] \n  44 -> 46 [size =\"49990656\"]\n  45 [size=\"33013760\", alpha=\"0.01\", expect_size=\"13205504\"] \n  45 -> 49 [size =\"13205504\"]\n  46 [size=\"83988480\", alpha=\"0.20\", expect_size=\"33595392\"] \n  46 -> 48 [size =\"33595392\"]\n  46 -> 50 [size =\"33595392\"]\n  47 [size=\"38720000\", alpha=\"0.10\", expect_size=\"15488000\"] \n  47 -> 48 [size =\"15488000\"]\n  48 [size=\"107432960\", alpha=\"0.17\", expect_size=\"42973184\"] \n  49 [size=\"94714880\", alpha=\"0.18\", expect_size=\"37885952\"] \n  50 [size=\"28334080\", alpha=\"0.13\", expect_size=\"11333632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.631.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107279360\", alpha=\"0.08\", expect_size=\"42911744\"] \n  1 -> 29 [size =\"42911744\"]\n  1 -> 31 [size =\"42911744\"]\n  1 -> 35 [size =\"42911744\"]\n  1 -> 38 [size =\"42911744\"]\n  1 -> 39 [size =\"42911744\"]\n  1 -> 48 [size =\"42911744\"]\n  1 -> 50 [size =\"42911744\"]\n  2 [size=\"128386560\", alpha=\"0.18\", expect_size=\"51354624\"] \n  2 -> 28 [size =\"51354624\"]\n  2 -> 29 [size =\"51354624\"]\n  2 -> 31 [size =\"51354624\"]\n  2 -> 35 [size =\"51354624\"]\n  2 -> 37 [size =\"51354624\"]\n  2 -> 40 [size =\"51354624\"]\n  2 -> 41 [size =\"51354624\"]\n  2 -> 42 [size =\"51354624\"]\n  2 -> 43 [size =\"51354624\"]\n  2 -> 45 [size =\"51354624\"]\n  2 -> 50 [size =\"51354624\"]\n  3 [size=\"55242240\", alpha=\"0.02\", expect_size=\"22096896\"] \n  3 -> 33 [size =\"22096896\"]\n  3 -> 35 [size =\"22096896\"]\n  3 -> 37 [size =\"22096896\"]\n  3 -> 38 [size =\"22096896\"]\n  3 -> 44 [size =\"22096896\"]\n  4 [size=\"30551040\", alpha=\"0.18\", expect_size=\"12220416\"] \n  4 -> 28 [size =\"12220416\"]\n  4 -> 33 [size =\"12220416\"]\n  4 -> 39 [size =\"12220416\"]\n  4 -> 43 [size =\"12220416\"]\n  4 -> 44 [size =\"12220416\"]\n  4 -> 48 [size =\"12220416\"]\n  4 -> 50 [size =\"12220416\"]\n  5 [size=\"108894720\", alpha=\"0.11\", expect_size=\"43557888\"] \n  5 -> 30 [size =\"43557888\"]\n  5 -> 31 [size =\"43557888\"]\n  5 -> 33 [size =\"43557888\"]\n  5 -> 35 [size =\"43557888\"]\n  5 -> 37 [size =\"43557888\"]\n  5 -> 38 [size =\"43557888\"]\n  5 -> 39 [size =\"43557888\"]\n  5 -> 41 [size =\"43557888\"]\n  5 -> 43 [size =\"43557888\"]\n  5 -> 44 [size =\"43557888\"]\n  5 -> 50 [size =\"43557888\"]\n  6 [size=\"98032640\", alpha=\"0.10\", expect_size=\"39213056\"] \n  6 -> 31 [size =\"39213056\"]\n  6 -> 38 [size =\"39213056\"]\n  6 -> 39 [size =\"39213056\"]\n  6 -> 41 [size =\"39213056\"]\n  6 -> 43 [size =\"39213056\"]\n  6 -> 44 [size =\"39213056\"]\n  6 -> 50 [size =\"39213056\"]\n  7 [size=\"102958080\", alpha=\"0.09\", expect_size=\"41183232\"] \n  7 -> 28 [size =\"41183232\"]\n  7 -> 30 [size =\"41183232\"]\n  7 -> 34 [size =\"41183232\"]\n  7 -> 41 [size =\"41183232\"]\n  7 -> 47 [size =\"41183232\"]\n  7 -> 49 [size =\"41183232\"]\n  7 -> 50 [size =\"41183232\"]\n  8 [size=\"108848640\", alpha=\"0.04\", expect_size=\"43539456\"] \n  8 -> 28 [size =\"43539456\"]\n  8 -> 30 [size =\"43539456\"]\n  8 -> 32 [size =\"43539456\"]\n  8 -> 35 [size =\"43539456\"]\n  8 -> 37 [size =\"43539456\"]\n  8 -> 39 [size =\"43539456\"]\n  8 -> 40 [size =\"43539456\"]\n  8 -> 42 [size =\"43539456\"]\n  8 -> 43 [size =\"43539456\"]\n  8 -> 47 [size =\"43539456\"]\n  8 -> 49 [size =\"43539456\"]\n  9 [size=\"35289600\", alpha=\"0.01\", expect_size=\"14115840\"] \n  9 -> 26 [size =\"14115840\"]\n  9 -> 29 [size =\"14115840\"]\n  9 -> 31 [size =\"14115840\"]\n  9 -> 35 [size =\"14115840\"]\n  9 -> 36 [size =\"14115840\"]\n  9 -> 39 [size =\"14115840\"]\n  9 -> 41 [size =\"14115840\"]\n  9 -> 43 [size =\"14115840\"]\n  10 [size=\"95216640\", alpha=\"0.04\", expect_size=\"38086656\"] \n  10 -> 26 [size =\"38086656\"]\n  10 -> 30 [size =\"38086656\"]\n  10 -> 33 [size =\"38086656\"]\n  10 -> 37 [size =\"38086656\"]\n  10 -> 38 [size =\"38086656\"]\n  10 -> 39 [size =\"38086656\"]\n  10 -> 40 [size =\"38086656\"]\n  10 -> 42 [size =\"38086656\"]\n  10 -> 47 [size =\"38086656\"]\n  10 -> 50 [size =\"38086656\"]\n  11 [size=\"122245120\", alpha=\"0.18\", expect_size=\"48898048\"] \n  11 -> 29 [size =\"48898048\"]\n  11 -> 33 [size =\"48898048\"]\n  11 -> 35 [size =\"48898048\"]\n  11 -> 38 [size =\"48898048\"]\n  11 -> 39 [size =\"48898048\"]\n  11 -> 40 [size =\"48898048\"]\n  11 -> 41 [size =\"48898048\"]\n  11 -> 47 [size =\"48898048\"]\n  11 -> 50 [size =\"48898048\"]\n  12 [size=\"50467840\", alpha=\"0.12\", expect_size=\"20187136\"] \n  12 -> 30 [size =\"20187136\"]\n  12 -> 31 [size =\"20187136\"]\n  12 -> 35 [size =\"20187136\"]\n  12 -> 40 [size =\"20187136\"]\n  12 -> 44 [size =\"20187136\"]\n  12 -> 48 [size =\"20187136\"]\n  13 [size=\"40066560\", alpha=\"0.01\", expect_size=\"16026624\"] \n  13 -> 26 [size =\"16026624\"]\n  13 -> 29 [size =\"16026624\"]\n  13 -> 31 [size =\"16026624\"]\n  13 -> 33 [size =\"16026624\"]\n  13 -> 35 [size =\"16026624\"]\n  13 -> 40 [size =\"16026624\"]\n  13 -> 42 [size =\"16026624\"]\n  13 -> 43 [size =\"16026624\"]\n  13 -> 44 [size =\"16026624\"]\n  13 -> 50 [size =\"16026624\"]\n  14 [size=\"50526720\", alpha=\"0.14\", expect_size=\"20210688\"] \n  14 -> 26 [size =\"20210688\"]\n  14 -> 33 [size =\"20210688\"]\n  14 -> 38 [size =\"20210688\"]\n  14 -> 42 [size =\"20210688\"]\n  14 -> 47 [size =\"20210688\"]\n  14 -> 50 [size =\"20210688\"]\n  15 [size=\"40289280\", alpha=\"0.15\", expect_size=\"16115712\"] \n  15 -> 30 [size =\"16115712\"]\n  15 -> 33 [size =\"16115712\"]\n  15 -> 35 [size =\"16115712\"]\n  15 -> 38 [size =\"16115712\"]\n  15 -> 39 [size =\"16115712\"]\n  15 -> 40 [size =\"16115712\"]\n  15 -> 42 [size =\"16115712\"]\n  15 -> 43 [size =\"16115712\"]\n  15 -> 47 [size =\"16115712\"]\n  16 [size=\"105277440\", alpha=\"0.14\", expect_size=\"42110976\"] \n  16 -> 26 [size =\"42110976\"]\n  16 -> 38 [size =\"42110976\"]\n  16 -> 39 [size =\"42110976\"]\n  16 -> 40 [size =\"42110976\"]\n  16 -> 42 [size =\"42110976\"]\n  16 -> 45 [size =\"42110976\"]\n  16 -> 46 [size =\"42110976\"]\n  16 -> 48 [size =\"42110976\"]\n  17 [size=\"48376320\", alpha=\"0.07\", expect_size=\"19350528\"] \n  17 -> 30 [size =\"19350528\"]\n  17 -> 31 [size =\"19350528\"]\n  17 -> 36 [size =\"19350528\"]\n  17 -> 41 [size =\"19350528\"]\n  17 -> 49 [size =\"19350528\"]\n  17 -> 50 [size =\"19350528\"]\n  18 [size=\"99640320\", alpha=\"0.15\", expect_size=\"39856128\"] \n  18 -> 28 [size =\"39856128\"]\n  18 -> 40 [size =\"39856128\"]\n  18 -> 47 [size =\"39856128\"]\n  18 -> 48 [size =\"39856128\"]\n  19 [size=\"124797440\", alpha=\"0.01\", expect_size=\"49918976\"] \n  19 -> 30 [size =\"49918976\"]\n  19 -> 31 [size =\"49918976\"]\n  19 -> 33 [size =\"49918976\"]\n  19 -> 41 [size =\"49918976\"]\n  19 -> 43 [size =\"49918976\"]\n  19 -> 47 [size =\"49918976\"]\n  19 -> 48 [size =\"49918976\"]\n  20 [size=\"129024000\", alpha=\"0.16\", expect_size=\"51609600\"] \n  20 -> 30 [size =\"51609600\"]\n  20 -> 31 [size =\"51609600\"]\n  20 -> 33 [size =\"51609600\"]\n  20 -> 38 [size =\"51609600\"]\n  20 -> 40 [size =\"51609600\"]\n  20 -> 41 [size =\"51609600\"]\n  20 -> 44 [size =\"51609600\"]\n  20 -> 48 [size =\"51609600\"]\n  21 [size=\"32524800\", alpha=\"0.08\", expect_size=\"13009920\"] \n  21 -> 30 [size =\"13009920\"]\n  21 -> 33 [size =\"13009920\"]\n  21 -> 33 [size =\"13009920\"]\n  21 -> 35 [size =\"13009920\"]\n  21 -> 40 [size =\"13009920\"]\n  21 -> 44 [size =\"13009920\"]\n  21 -> 47 [size =\"13009920\"]\n  21 -> 48 [size =\"13009920\"]\n  21 -> 50 [size =\"13009920\"]\n  22 [size=\"23175680\", alpha=\"0.19\", expect_size=\"9270272\"] \n  22 -> 28 [size =\"9270272\"]\n  22 -> 29 [size =\"9270272\"]\n  22 -> 30 [size =\"9270272\"]\n  22 -> 33 [size =\"9270272\"]\n  22 -> 35 [size =\"9270272\"]\n  22 -> 39 [size =\"9270272\"]\n  22 -> 40 [size =\"9270272\"]\n  22 -> 41 [size =\"9270272\"]\n  22 -> 42 [size =\"9270272\"]\n  22 -> 44 [size =\"9270272\"]\n  22 -> 48 [size =\"9270272\"]\n  22 -> 49 [size =\"9270272\"]\n  23 [size=\"94423040\", alpha=\"0.17\", expect_size=\"37769216\"] \n  23 -> 27 [size =\"37769216\"]\n  23 -> 31 [size =\"37769216\"]\n  23 -> 35 [size =\"37769216\"]\n  23 -> 36 [size =\"37769216\"]\n  23 -> 37 [size =\"37769216\"]\n  23 -> 42 [size =\"37769216\"]\n  23 -> 43 [size =\"37769216\"]\n  23 -> 47 [size =\"37769216\"]\n  23 -> 49 [size =\"37769216\"]\n  23 -> 50 [size =\"37769216\"]\n  24 [size=\"100124160\", alpha=\"0.19\", expect_size=\"40049664\"] \n  24 -> 26 [size =\"40049664\"]\n  24 -> 28 [size =\"40049664\"]\n  24 -> 29 [size =\"40049664\"]\n  24 -> 30 [size =\"40049664\"]\n  24 -> 31 [size =\"40049664\"]\n  24 -> 33 [size =\"40049664\"]\n  24 -> 35 [size =\"40049664\"]\n  24 -> 40 [size =\"40049664\"]\n  24 -> 41 [size =\"40049664\"]\n  24 -> 43 [size =\"40049664\"]\n  24 -> 47 [size =\"40049664\"]\n  24 -> 50 [size =\"40049664\"]\n  25 [size=\"66286080\", alpha=\"0.16\", expect_size=\"26514432\"] \n  25 -> 31 [size =\"26514432\"]\n  25 -> 35 [size =\"26514432\"]\n  25 -> 37 [size =\"26514432\"]\n  25 -> 39 [size =\"26514432\"]\n  25 -> 41 [size =\"26514432\"]\n  25 -> 42 [size =\"26514432\"]\n  25 -> 44 [size =\"26514432\"]\n  25 -> 45 [size =\"26514432\"]\n  25 -> 47 [size =\"26514432\"]\n  26 [size=\"36282880\", alpha=\"0.08\", expect_size=\"14513152\"] \n  27 [size=\"118151680\", alpha=\"0.15\", expect_size=\"47260672\"] \n  28 [size=\"41305600\", alpha=\"0.19\", expect_size=\"16522240\"] \n  29 [size=\"126842880\", alpha=\"0.06\", expect_size=\"50737152\"] \n  30 [size=\"129804800\", alpha=\"0.07\", expect_size=\"51921920\"] \n  31 [size=\"107197440\", alpha=\"0.06\", expect_size=\"42878976\"] \n  32 [size=\"35223040\", alpha=\"0.12\", expect_size=\"14089216\"] \n  33 [size=\"29168640\", alpha=\"0.03\", expect_size=\"11667456\"] \n  34 [size=\"13199360\", alpha=\"0.20\", expect_size=\"5279744\"] \n  35 [size=\"122726400\", alpha=\"0.01\", expect_size=\"49090560\"] \n  36 [size=\"99648000\", alpha=\"0.18\", expect_size=\"39859200\"] \n  37 [size=\"28889600\", alpha=\"0.01\", expect_size=\"11555840\"] \n  38 [size=\"118266880\", alpha=\"0.19\", expect_size=\"47306752\"] \n  39 [size=\"109629440\", alpha=\"0.15\", expect_size=\"43851776\"] \n  40 [size=\"25157120\", alpha=\"0.12\", expect_size=\"10062848\"] \n  41 [size=\"64931840\", alpha=\"0.11\", expect_size=\"25972736\"] \n  42 [size=\"102156800\", alpha=\"0.13\", expect_size=\"40862720\"] \n  43 [size=\"56232960\", alpha=\"0.08\", expect_size=\"22493184\"] \n  44 [size=\"72084480\", alpha=\"0.17\", expect_size=\"28833792\"] \n  45 [size=\"69168640\", alpha=\"0.16\", expect_size=\"27667456\"] \n  46 [size=\"74664960\", alpha=\"0.19\", expect_size=\"29865984\"] \n  47 [size=\"62784000\", alpha=\"0.20\", expect_size=\"25113600\"] \n  48 [size=\"68794880\", alpha=\"0.05\", expect_size=\"27517952\"] \n  49 [size=\"61265920\", alpha=\"0.10\", expect_size=\"24506368\"] \n  50 [size=\"33922560\", alpha=\"0.14\", expect_size=\"13569024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.632.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15621120\", alpha=\"0.20\", expect_size=\"6248448\"] \n  1 -> 2 [size =\"6248448\"]\n  2 [size=\"114700800\", alpha=\"0.07\", expect_size=\"45880320\"] \n  2 -> 3 [size =\"45880320\"]\n  3 [size=\"75932160\", alpha=\"0.00\", expect_size=\"30372864\"] \n  3 -> 4 [size =\"30372864\"]\n  4 [size=\"42910720\", alpha=\"0.01\", expect_size=\"17164288\"] \n  4 -> 5 [size =\"17164288\"]\n  5 [size=\"52643840\", alpha=\"0.19\", expect_size=\"21057536\"] \n  5 -> 6 [size =\"21057536\"]\n  6 [size=\"48043520\", alpha=\"0.06\", expect_size=\"19217408\"] \n  6 -> 7 [size =\"19217408\"]\n  7 [size=\"91169280\", alpha=\"0.12\", expect_size=\"36467712\"] \n  7 -> 8 [size =\"36467712\"]\n  8 [size=\"88634880\", alpha=\"0.07\", expect_size=\"35453952\"] \n  8 -> 9 [size =\"35453952\"]\n  9 [size=\"82145280\", alpha=\"0.09\", expect_size=\"32858112\"] \n  9 -> 10 [size =\"32858112\"]\n  10 [size=\"69844480\", alpha=\"0.05\", expect_size=\"27937792\"] \n  10 -> 11 [size =\"27937792\"]\n  11 [size=\"37913600\", alpha=\"0.10\", expect_size=\"15165440\"] \n  11 -> 12 [size =\"15165440\"]\n  12 [size=\"36861440\", alpha=\"0.15\", expect_size=\"14744576\"] \n  12 -> 13 [size =\"14744576\"]\n  13 [size=\"75256320\", alpha=\"0.03\", expect_size=\"30102528\"] \n  13 -> 14 [size =\"30102528\"]\n  14 [size=\"77025280\", alpha=\"0.07\", expect_size=\"30810112\"] \n  14 -> 15 [size =\"30810112\"]\n  15 [size=\"80404480\", alpha=\"0.09\", expect_size=\"32161792\"] \n  15 -> 16 [size =\"32161792\"]\n  16 [size=\"74001920\", alpha=\"0.14\", expect_size=\"29600768\"] \n  16 -> 17 [size =\"29600768\"]\n  17 [size=\"107217920\", alpha=\"0.11\", expect_size=\"42887168\"] \n  17 -> 18 [size =\"42887168\"]\n  18 [size=\"58314240\", alpha=\"0.14\", expect_size=\"23325696\"] \n  18 -> 19 [size =\"23325696\"]\n  19 [size=\"100897280\", alpha=\"0.11\", expect_size=\"40358912\"] \n  19 -> 20 [size =\"40358912\"]\n  20 [size=\"33863680\", alpha=\"0.13\", expect_size=\"13545472\"] \n  20 -> 21 [size =\"13545472\"]\n  21 [size=\"63490560\", alpha=\"0.15\", expect_size=\"25396224\"] \n  21 -> 22 [size =\"25396224\"]\n  22 [size=\"119779840\", alpha=\"0.14\", expect_size=\"47911936\"] \n  22 -> 23 [size =\"47911936\"]\n  23 [size=\"91166720\", alpha=\"0.03\", expect_size=\"36466688\"] \n  23 -> 24 [size =\"36466688\"]\n  24 [size=\"108369920\", alpha=\"0.18\", expect_size=\"43347968\"] \n  24 -> 25 [size =\"43347968\"]\n  25 [size=\"32711680\", alpha=\"0.20\", expect_size=\"13084672\"] \n  25 -> 26 [size =\"13084672\"]\n  26 [size=\"85952000\", alpha=\"0.07\", expect_size=\"34380800\"] \n  26 -> 27 [size =\"34380800\"]\n  27 [size=\"48622080\", alpha=\"0.07\", expect_size=\"19448832\"] \n  27 -> 28 [size =\"19448832\"]\n  28 [size=\"114378240\", alpha=\"0.01\", expect_size=\"45751296\"] \n  28 -> 29 [size =\"45751296\"]\n  29 [size=\"76692480\", alpha=\"0.06\", expect_size=\"30676992\"] \n  29 -> 30 [size =\"30676992\"]\n  30 [size=\"25943040\", alpha=\"0.01\", expect_size=\"10377216\"] \n  30 -> 31 [size =\"10377216\"]\n  31 [size=\"101340160\", alpha=\"0.20\", expect_size=\"40536064\"] \n  31 -> 32 [size =\"40536064\"]\n  32 [size=\"69475840\", alpha=\"0.03\", expect_size=\"27790336\"] \n  32 -> 33 [size =\"27790336\"]\n  33 [size=\"31941120\", alpha=\"0.16\", expect_size=\"12776448\"] \n  33 -> 34 [size =\"12776448\"]\n  34 [size=\"51563520\", alpha=\"0.01\", expect_size=\"20625408\"] \n  34 -> 35 [size =\"20625408\"]\n  35 [size=\"40184320\", alpha=\"0.16\", expect_size=\"16073728\"] \n  35 -> 36 [size =\"16073728\"]\n  36 [size=\"37340160\", alpha=\"0.02\", expect_size=\"14936064\"] \n  36 -> 37 [size =\"14936064\"]\n  37 [size=\"77972480\", alpha=\"0.04\", expect_size=\"31188992\"] \n  37 -> 38 [size =\"31188992\"]\n  38 [size=\"122176000\", alpha=\"0.14\", expect_size=\"48870400\"] \n  38 -> 39 [size =\"48870400\"]\n  39 [size=\"127518720\", alpha=\"0.19\", expect_size=\"51007488\"] \n  39 -> 40 [size =\"51007488\"]\n  40 [size=\"45076480\", alpha=\"0.07\", expect_size=\"18030592\"] \n  40 -> 41 [size =\"18030592\"]\n  41 [size=\"49548800\", alpha=\"0.03\", expect_size=\"19819520\"] \n  41 -> 42 [size =\"19819520\"]\n  42 [size=\"47782400\", alpha=\"0.18\", expect_size=\"19112960\"] \n  42 -> 43 [size =\"19112960\"]\n  43 [size=\"63528960\", alpha=\"0.06\", expect_size=\"25411584\"] \n  43 -> 44 [size =\"25411584\"]\n  44 [size=\"40977920\", alpha=\"0.10\", expect_size=\"16391168\"] \n  44 -> 45 [size =\"16391168\"]\n  45 [size=\"44047360\", alpha=\"0.18\", expect_size=\"17618944\"] \n  45 -> 46 [size =\"17618944\"]\n  46 [size=\"22067200\", alpha=\"0.17\", expect_size=\"8826880\"] \n  46 -> 47 [size =\"8826880\"]\n  47 [size=\"35939840\", alpha=\"0.03\", expect_size=\"14375936\"] \n  47 -> 48 [size =\"14375936\"]\n  48 [size=\"61806080\", alpha=\"0.06\", expect_size=\"24722432\"] \n  48 -> 49 [size =\"24722432\"]\n  49 [size=\"26913280\", alpha=\"0.00\", expect_size=\"10765312\"] \n  49 -> 50 [size =\"10765312\"]\n  50 [size=\"19048960\", alpha=\"0.16\", expect_size=\"7619584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.633.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93528064\", alpha=\"0.13\", expect_size=\"46764032\"] \n  1 -> 8 [size =\"46764032\"]\n  1 -> 10 [size =\"46764032\"]\n  1 -> 12 [size =\"46764032\"]\n  1 -> 13 [size =\"46764032\"]\n  1 -> 14 [size =\"46764032\"]\n  2 [size=\"53125120\", alpha=\"0.03\", expect_size=\"26562560\"] \n  2 -> 10 [size =\"26562560\"]\n  2 -> 11 [size =\"26562560\"]\n  3 [size=\"35348480\", alpha=\"0.09\", expect_size=\"17674240\"] \n  3 -> 10 [size =\"17674240\"]\n  3 -> 13 [size =\"17674240\"]\n  4 [size=\"13645824\", alpha=\"0.16\", expect_size=\"6822912\"] \n  4 -> 9 [size =\"6822912\"]\n  4 -> 10 [size =\"6822912\"]\n  4 -> 13 [size =\"6822912\"]\n  5 [size=\"21270528\", alpha=\"0.19\", expect_size=\"10635264\"] \n  5 -> 10 [size =\"10635264\"]\n  5 -> 12 [size =\"10635264\"]\n  6 [size=\"72427520\", alpha=\"0.02\", expect_size=\"36213760\"] \n  6 -> 11 [size =\"36213760\"]\n  6 -> 12 [size =\"36213760\"]\n  6 -> 14 [size =\"36213760\"]\n  7 [size=\"31635456\", alpha=\"0.10\", expect_size=\"15817728\"] \n  7 -> 12 [size =\"15817728\"]\n  7 -> 13 [size =\"15817728\"]\n  7 -> 14 [size =\"15817728\"]\n  8 [size=\"34099200\", alpha=\"0.08\", expect_size=\"17049600\"] \n  8 -> 15 [size =\"17049600\"]\n  8 -> 17 [size =\"17049600\"]\n  8 -> 17 [size =\"17049600\"]\n  9 [size=\"14452736\", alpha=\"0.15\", expect_size=\"7226368\"] \n  9 -> 15 [size =\"7226368\"]\n  9 -> 17 [size =\"7226368\"]\n  9 -> 19 [size =\"7226368\"]\n  10 [size=\"19980288\", alpha=\"0.05\", expect_size=\"9990144\"] \n  10 -> 18 [size =\"9990144\"]\n  10 -> 19 [size =\"9990144\"]\n  10 -> 19 [size =\"9990144\"]\n  10 -> 20 [size =\"9990144\"]\n  11 [size=\"103342080\", alpha=\"0.02\", expect_size=\"51671040\"] \n  11 -> 15 [size =\"51671040\"]\n  11 -> 16 [size =\"51671040\"]\n  11 -> 17 [size =\"51671040\"]\n  11 -> 19 [size =\"51671040\"]\n  11 -> 20 [size =\"51671040\"]\n  12 [size=\"68593664\", alpha=\"0.16\", expect_size=\"34296832\"] \n  12 -> 15 [size =\"34296832\"]\n  12 -> 16 [size =\"34296832\"]\n  12 -> 17 [size =\"34296832\"]\n  12 -> 19 [size =\"34296832\"]\n  13 [size=\"84369408\", alpha=\"0.12\", expect_size=\"42184704\"] \n  13 -> 15 [size =\"42184704\"]\n  13 -> 16 [size =\"42184704\"]\n  13 -> 17 [size =\"42184704\"]\n  13 -> 19 [size =\"42184704\"]\n  14 [size=\"32774144\", alpha=\"0.00\", expect_size=\"16387072\"] \n  14 -> 15 [size =\"16387072\"]\n  14 -> 16 [size =\"16387072\"]\n  14 -> 17 [size =\"16387072\"]\n  14 -> 18 [size =\"16387072\"]\n  15 [size=\"15810560\", alpha=\"0.14\", expect_size=\"7905280\"] \n  15 -> 22 [size =\"7905280\"]\n  15 -> 23 [size =\"7905280\"]\n  15 -> 24 [size =\"7905280\"]\n  16 [size=\"104613888\", alpha=\"0.04\", expect_size=\"52306944\"] \n  16 -> 21 [size =\"52306944\"]\n  16 -> 22 [size =\"52306944\"]\n  16 -> 23 [size =\"52306944\"]\n  17 [size=\"19755008\", alpha=\"0.19\", expect_size=\"9877504\"] \n  17 -> 21 [size =\"9877504\"]\n  17 -> 24 [size =\"9877504\"]\n  18 [size=\"65798144\", alpha=\"0.16\", expect_size=\"32899072\"] \n  18 -> 21 [size =\"32899072\"]\n  18 -> 23 [size =\"32899072\"]\n  18 -> 24 [size =\"32899072\"]\n  18 -> 26 [size =\"32899072\"]\n  19 [size=\"11421696\", alpha=\"0.19\", expect_size=\"5710848\"] \n  19 -> 21 [size =\"5710848\"]\n  19 -> 25 [size =\"5710848\"]\n  20 [size=\"83200000\", alpha=\"0.04\", expect_size=\"41600000\"] \n  20 -> 21 [size =\"41600000\"]\n  20 -> 22 [size =\"41600000\"]\n  20 -> 23 [size =\"41600000\"]\n  20 -> 26 [size =\"41600000\"]\n  21 [size=\"12025856\", alpha=\"0.06\", expect_size=\"6012928\"] \n  21 -> 27 [size =\"6012928\"]\n  21 -> 29 [size =\"6012928\"]\n  21 -> 29 [size =\"6012928\"]\n  22 [size=\"22388736\", alpha=\"0.18\", expect_size=\"11194368\"] \n  22 -> 27 [size =\"11194368\"]\n  22 -> 29 [size =\"11194368\"]\n  22 -> 30 [size =\"11194368\"]\n  22 -> 31 [size =\"11194368\"]\n  22 -> 32 [size =\"11194368\"]\n  23 [size=\"95676416\", alpha=\"0.14\", expect_size=\"47838208\"] \n  23 -> 29 [size =\"47838208\"]\n  23 -> 29 [size =\"47838208\"]\n  23 -> 31 [size =\"47838208\"]\n  23 -> 32 [size =\"47838208\"]\n  24 [size=\"58093568\", alpha=\"0.12\", expect_size=\"29046784\"] \n  24 -> 27 [size =\"29046784\"]\n  24 -> 28 [size =\"29046784\"]\n  24 -> 31 [size =\"29046784\"]\n  24 -> 32 [size =\"29046784\"]\n  25 [size=\"59002880\", alpha=\"0.11\", expect_size=\"29501440\"] \n  26 [size=\"28569600\", alpha=\"0.04\", expect_size=\"14284800\"] \n  26 -> 27 [size =\"14284800\"]\n  26 -> 28 [size =\"14284800\"]\n  26 -> 29 [size =\"14284800\"]\n  26 -> 31 [size =\"14284800\"]\n  27 [size=\"46743552\", alpha=\"0.01\", expect_size=\"23371776\"] \n  27 -> 34 [size =\"23371776\"]\n  27 -> 35 [size =\"23371776\"]\n  27 -> 35 [size =\"23371776\"]\n  27 -> 36 [size =\"23371776\"]\n  28 [size=\"42833920\", alpha=\"0.03\", expect_size=\"21416960\"] \n  28 -> 33 [size =\"21416960\"]\n  28 -> 35 [size =\"21416960\"]\n  28 -> 36 [size =\"21416960\"]\n  28 -> 36 [size =\"21416960\"]\n  29 [size=\"24696832\", alpha=\"0.06\", expect_size=\"12348416\"] \n  29 -> 33 [size =\"12348416\"]\n  29 -> 34 [size =\"12348416\"]\n  29 -> 36 [size =\"12348416\"]\n  30 [size=\"21426176\", alpha=\"0.11\", expect_size=\"10713088\"] \n  30 -> 34 [size =\"10713088\"]\n  30 -> 38 [size =\"10713088\"]\n  31 [size=\"40331264\", alpha=\"0.16\", expect_size=\"20165632\"] \n  31 -> 34 [size =\"20165632\"]\n  31 -> 35 [size =\"20165632\"]\n  31 -> 37 [size =\"20165632\"]\n  31 -> 38 [size =\"20165632\"]\n  32 [size=\"70080512\", alpha=\"0.13\", expect_size=\"35040256\"] \n  32 -> 33 [size =\"35040256\"]\n  32 -> 34 [size =\"35040256\"]\n  32 -> 35 [size =\"35040256\"]\n  32 -> 36 [size =\"35040256\"]\n  32 -> 37 [size =\"35040256\"]\n  32 -> 38 [size =\"35040256\"]\n  33 [size=\"58947584\", alpha=\"0.06\", expect_size=\"29473792\"] \n  33 -> 39 [size =\"29473792\"]\n  33 -> 41 [size =\"29473792\"]\n  33 -> 42 [size =\"29473792\"]\n  34 [size=\"31791104\", alpha=\"0.03\", expect_size=\"15895552\"] \n  34 -> 40 [size =\"15895552\"]\n  34 -> 41 [size =\"15895552\"]\n  34 -> 42 [size =\"15895552\"]\n  34 -> 44 [size =\"15895552\"]\n  35 [size=\"86145024\", alpha=\"0.02\", expect_size=\"43072512\"] \n  35 -> 40 [size =\"43072512\"]\n  35 -> 42 [size =\"43072512\"]\n  35 -> 43 [size =\"43072512\"]\n  35 -> 44 [size =\"43072512\"]\n  36 [size=\"44052480\", alpha=\"0.20\", expect_size=\"22026240\"] \n  36 -> 39 [size =\"22026240\"]\n  36 -> 41 [size =\"22026240\"]\n  36 -> 43 [size =\"22026240\"]\n  37 [size=\"61831168\", alpha=\"0.00\", expect_size=\"30915584\"] \n  37 -> 41 [size =\"30915584\"]\n  37 -> 41 [size =\"30915584\"]\n  37 -> 42 [size =\"30915584\"]\n  37 -> 44 [size =\"30915584\"]\n  38 [size=\"66254848\", alpha=\"0.13\", expect_size=\"33127424\"] \n  38 -> 41 [size =\"33127424\"]\n  38 -> 42 [size =\"33127424\"]\n  38 -> 43 [size =\"33127424\"]\n  39 [size=\"80941056\", alpha=\"0.05\", expect_size=\"40470528\"] \n  39 -> 45 [size =\"40470528\"]\n  39 -> 46 [size =\"40470528\"]\n  39 -> 47 [size =\"40470528\"]\n  39 -> 48 [size =\"40470528\"]\n  39 -> 49 [size =\"40470528\"]\n  39 -> 50 [size =\"40470528\"]\n  40 [size=\"15482880\", alpha=\"0.13\", expect_size=\"7741440\"] \n  40 -> 45 [size =\"7741440\"]\n  40 -> 46 [size =\"7741440\"]\n  40 -> 47 [size =\"7741440\"]\n  40 -> 48 [size =\"7741440\"]\n  40 -> 49 [size =\"7741440\"]\n  40 -> 50 [size =\"7741440\"]\n  41 [size=\"68120576\", alpha=\"0.01\", expect_size=\"34060288\"] \n  41 -> 45 [size =\"34060288\"]\n  41 -> 46 [size =\"34060288\"]\n  41 -> 47 [size =\"34060288\"]\n  41 -> 48 [size =\"34060288\"]\n  41 -> 49 [size =\"34060288\"]\n  41 -> 50 [size =\"34060288\"]\n  42 [size=\"48596992\", alpha=\"0.11\", expect_size=\"24298496\"] \n  42 -> 45 [size =\"24298496\"]\n  42 -> 46 [size =\"24298496\"]\n  42 -> 50 [size =\"24298496\"]\n  43 [size=\"15022080\", alpha=\"0.00\", expect_size=\"7511040\"] \n  43 -> 45 [size =\"7511040\"]\n  43 -> 49 [size =\"7511040\"]\n  43 -> 50 [size =\"7511040\"]\n  44 [size=\"41281536\", alpha=\"0.19\", expect_size=\"20640768\"] \n  44 -> 48 [size =\"20640768\"]\n  44 -> 49 [size =\"20640768\"]\n  44 -> 50 [size =\"20640768\"]\n  45 [size=\"55289856\", alpha=\"0.08\", expect_size=\"27644928\"] \n  46 [size=\"62377984\", alpha=\"0.01\", expect_size=\"31188992\"] \n  47 [size=\"62298112\", alpha=\"0.01\", expect_size=\"31149056\"] \n  48 [size=\"64321536\", alpha=\"0.09\", expect_size=\"32160768\"] \n  49 [size=\"29388800\", alpha=\"0.19\", expect_size=\"14694400\"] \n  50 [size=\"52809728\", alpha=\"0.12\", expect_size=\"26404864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.634.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61550080\", alpha=\"0.08\", expect_size=\"24620032\"] \n  1 -> 39 [size =\"24620032\"]\n  1 -> 40 [size =\"24620032\"]\n  1 -> 41 [size =\"24620032\"]\n  1 -> 46 [size =\"24620032\"]\n  1 -> 48 [size =\"24620032\"]\n  1 -> 48 [size =\"24620032\"]\n  1 -> 49 [size =\"24620032\"]\n  2 [size=\"73930240\", alpha=\"0.09\", expect_size=\"29572096\"] \n  2 -> 39 [size =\"29572096\"]\n  2 -> 40 [size =\"29572096\"]\n  2 -> 41 [size =\"29572096\"]\n  2 -> 42 [size =\"29572096\"]\n  2 -> 44 [size =\"29572096\"]\n  2 -> 45 [size =\"29572096\"]\n  2 -> 46 [size =\"29572096\"]\n  2 -> 48 [size =\"29572096\"]\n  3 [size=\"70535680\", alpha=\"0.03\", expect_size=\"28214272\"] \n  3 -> 39 [size =\"28214272\"]\n  3 -> 40 [size =\"28214272\"]\n  3 -> 41 [size =\"28214272\"]\n  3 -> 42 [size =\"28214272\"]\n  3 -> 44 [size =\"28214272\"]\n  3 -> 47 [size =\"28214272\"]\n  3 -> 48 [size =\"28214272\"]\n  3 -> 49 [size =\"28214272\"]\n  4 [size=\"104035840\", alpha=\"0.05\", expect_size=\"41614336\"] \n  4 -> 39 [size =\"41614336\"]\n  4 -> 41 [size =\"41614336\"]\n  4 -> 41 [size =\"41614336\"]\n  4 -> 43 [size =\"41614336\"]\n  4 -> 44 [size =\"41614336\"]\n  5 [size=\"100526080\", alpha=\"0.16\", expect_size=\"40210432\"] \n  5 -> 36 [size =\"40210432\"]\n  5 -> 41 [size =\"40210432\"]\n  5 -> 42 [size =\"40210432\"]\n  5 -> 44 [size =\"40210432\"]\n  5 -> 48 [size =\"40210432\"]\n  5 -> 50 [size =\"40210432\"]\n  6 [size=\"78638080\", alpha=\"0.13\", expect_size=\"31455232\"] \n  6 -> 39 [size =\"31455232\"]\n  6 -> 41 [size =\"31455232\"]\n  6 -> 44 [size =\"31455232\"]\n  6 -> 45 [size =\"31455232\"]\n  6 -> 46 [size =\"31455232\"]\n  6 -> 47 [size =\"31455232\"]\n  7 [size=\"101757440\", alpha=\"0.17\", expect_size=\"40702976\"] \n  7 -> 38 [size =\"40702976\"]\n  7 -> 39 [size =\"40702976\"]\n  7 -> 40 [size =\"40702976\"]\n  7 -> 41 [size =\"40702976\"]\n  7 -> 44 [size =\"40702976\"]\n  7 -> 45 [size =\"40702976\"]\n  7 -> 46 [size =\"40702976\"]\n  7 -> 48 [size =\"40702976\"]\n  8 [size=\"59107840\", alpha=\"0.01\", expect_size=\"23643136\"] \n  8 -> 38 [size =\"23643136\"]\n  8 -> 39 [size =\"23643136\"]\n  8 -> 40 [size =\"23643136\"]\n  8 -> 44 [size =\"23643136\"]\n  8 -> 44 [size =\"23643136\"]\n  8 -> 46 [size =\"23643136\"]\n  8 -> 48 [size =\"23643136\"]\n  8 -> 50 [size =\"23643136\"]\n  9 [size=\"28879360\", alpha=\"0.03\", expect_size=\"11551744\"] \n  9 -> 38 [size =\"11551744\"]\n  9 -> 39 [size =\"11551744\"]\n  9 -> 40 [size =\"11551744\"]\n  9 -> 41 [size =\"11551744\"]\n  9 -> 48 [size =\"11551744\"]\n  9 -> 50 [size =\"11551744\"]\n  10 [size=\"115328000\", alpha=\"0.16\", expect_size=\"46131200\"] \n  10 -> 38 [size =\"46131200\"]\n  10 -> 39 [size =\"46131200\"]\n  10 -> 40 [size =\"46131200\"]\n  10 -> 44 [size =\"46131200\"]\n  10 -> 47 [size =\"46131200\"]\n  10 -> 48 [size =\"46131200\"]\n  11 [size=\"70074880\", alpha=\"0.16\", expect_size=\"28029952\"] \n  11 -> 39 [size =\"28029952\"]\n  11 -> 40 [size =\"28029952\"]\n  11 -> 40 [size =\"28029952\"]\n  11 -> 41 [size =\"28029952\"]\n  11 -> 44 [size =\"28029952\"]\n  11 -> 45 [size =\"28029952\"]\n  11 -> 47 [size =\"28029952\"]\n  11 -> 48 [size =\"28029952\"]\n  11 -> 50 [size =\"28029952\"]\n  12 [size=\"120192000\", alpha=\"0.10\", expect_size=\"48076800\"] \n  12 -> 39 [size =\"48076800\"]\n  12 -> 40 [size =\"48076800\"]\n  12 -> 41 [size =\"48076800\"]\n  12 -> 44 [size =\"48076800\"]\n  12 -> 44 [size =\"48076800\"]\n  12 -> 46 [size =\"48076800\"]\n  12 -> 48 [size =\"48076800\"]\n  12 -> 49 [size =\"48076800\"]\n  13 [size=\"57835520\", alpha=\"0.01\", expect_size=\"23134208\"] \n  13 -> 38 [size =\"23134208\"]\n  13 -> 39 [size =\"23134208\"]\n  13 -> 44 [size =\"23134208\"]\n  13 -> 45 [size =\"23134208\"]\n  13 -> 50 [size =\"23134208\"]\n  14 [size=\"75348480\", alpha=\"0.20\", expect_size=\"30139392\"] \n  14 -> 40 [size =\"30139392\"]\n  14 -> 43 [size =\"30139392\"]\n  14 -> 47 [size =\"30139392\"]\n  15 [size=\"106982400\", alpha=\"0.05\", expect_size=\"42792960\"] \n  15 -> 38 [size =\"42792960\"]\n  15 -> 40 [size =\"42792960\"]\n  15 -> 41 [size =\"42792960\"]\n  15 -> 44 [size =\"42792960\"]\n  15 -> 46 [size =\"42792960\"]\n  15 -> 47 [size =\"42792960\"]\n  16 [size=\"84992000\", alpha=\"0.01\", expect_size=\"33996800\"] \n  16 -> 38 [size =\"33996800\"]\n  16 -> 41 [size =\"33996800\"]\n  16 -> 45 [size =\"33996800\"]\n  16 -> 47 [size =\"33996800\"]\n  17 [size=\"42595840\", alpha=\"0.16\", expect_size=\"17038336\"] \n  17 -> 41 [size =\"17038336\"]\n  17 -> 41 [size =\"17038336\"]\n  17 -> 45 [size =\"17038336\"]\n  17 -> 49 [size =\"17038336\"]\n  17 -> 50 [size =\"17038336\"]\n  18 [size=\"24046080\", alpha=\"0.15\", expect_size=\"9618432\"] \n  18 -> 37 [size =\"9618432\"]\n  18 -> 40 [size =\"9618432\"]\n  18 -> 41 [size =\"9618432\"]\n  18 -> 44 [size =\"9618432\"]\n  18 -> 45 [size =\"9618432\"]\n  18 -> 48 [size =\"9618432\"]\n  19 [size=\"30517760\", alpha=\"0.18\", expect_size=\"12207104\"] \n  19 -> 38 [size =\"12207104\"]\n  19 -> 39 [size =\"12207104\"]\n  19 -> 40 [size =\"12207104\"]\n  19 -> 41 [size =\"12207104\"]\n  19 -> 44 [size =\"12207104\"]\n  19 -> 45 [size =\"12207104\"]\n  19 -> 49 [size =\"12207104\"]\n  19 -> 50 [size =\"12207104\"]\n  20 [size=\"50273280\", alpha=\"0.10\", expect_size=\"20109312\"] \n  20 -> 38 [size =\"20109312\"]\n  20 -> 40 [size =\"20109312\"]\n  20 -> 40 [size =\"20109312\"]\n  20 -> 41 [size =\"20109312\"]\n  20 -> 43 [size =\"20109312\"]\n  20 -> 44 [size =\"20109312\"]\n  20 -> 47 [size =\"20109312\"]\n  20 -> 50 [size =\"20109312\"]\n  21 [size=\"28912640\", alpha=\"0.09\", expect_size=\"11565056\"] \n  21 -> 37 [size =\"11565056\"]\n  21 -> 39 [size =\"11565056\"]\n  21 -> 40 [size =\"11565056\"]\n  21 -> 43 [size =\"11565056\"]\n  21 -> 44 [size =\"11565056\"]\n  21 -> 44 [size =\"11565056\"]\n  21 -> 45 [size =\"11565056\"]\n  22 [size=\"122616320\", alpha=\"0.19\", expect_size=\"49046528\"] \n  22 -> 40 [size =\"49046528\"]\n  22 -> 44 [size =\"49046528\"]\n  22 -> 45 [size =\"49046528\"]\n  22 -> 46 [size =\"49046528\"]\n  22 -> 49 [size =\"49046528\"]\n  23 [size=\"63582720\", alpha=\"0.19\", expect_size=\"25433088\"] \n  23 -> 37 [size =\"25433088\"]\n  23 -> 40 [size =\"25433088\"]\n  23 -> 41 [size =\"25433088\"]\n  23 -> 44 [size =\"25433088\"]\n  23 -> 45 [size =\"25433088\"]\n  23 -> 46 [size =\"25433088\"]\n  24 [size=\"67156480\", alpha=\"0.14\", expect_size=\"26862592\"] \n  24 -> 38 [size =\"26862592\"]\n  24 -> 41 [size =\"26862592\"]\n  24 -> 42 [size =\"26862592\"]\n  24 -> 43 [size =\"26862592\"]\n  24 -> 44 [size =\"26862592\"]\n  24 -> 45 [size =\"26862592\"]\n  24 -> 47 [size =\"26862592\"]\n  24 -> 48 [size =\"26862592\"]\n  24 -> 50 [size =\"26862592\"]\n  25 [size=\"66731520\", alpha=\"0.04\", expect_size=\"26692608\"] \n  25 -> 38 [size =\"26692608\"]\n  25 -> 39 [size =\"26692608\"]\n  25 -> 40 [size =\"26692608\"]\n  25 -> 41 [size =\"26692608\"]\n  25 -> 47 [size =\"26692608\"]\n  25 -> 49 [size =\"26692608\"]\n  25 -> 50 [size =\"26692608\"]\n  26 [size=\"94645760\", alpha=\"0.05\", expect_size=\"37858304\"] \n  26 -> 37 [size =\"37858304\"]\n  26 -> 39 [size =\"37858304\"]\n  26 -> 40 [size =\"37858304\"]\n  26 -> 41 [size =\"37858304\"]\n  26 -> 43 [size =\"37858304\"]\n  26 -> 44 [size =\"37858304\"]\n  26 -> 46 [size =\"37858304\"]\n  26 -> 47 [size =\"37858304\"]\n  26 -> 48 [size =\"37858304\"]\n  26 -> 50 [size =\"37858304\"]\n  27 [size=\"97684480\", alpha=\"0.01\", expect_size=\"39073792\"] \n  27 -> 38 [size =\"39073792\"]\n  27 -> 39 [size =\"39073792\"]\n  27 -> 41 [size =\"39073792\"]\n  27 -> 44 [size =\"39073792\"]\n  27 -> 45 [size =\"39073792\"]\n  27 -> 46 [size =\"39073792\"]\n  27 -> 47 [size =\"39073792\"]\n  27 -> 47 [size =\"39073792\"]\n  27 -> 48 [size =\"39073792\"]\n  27 -> 50 [size =\"39073792\"]\n  28 [size=\"73574400\", alpha=\"0.04\", expect_size=\"29429760\"] \n  28 -> 37 [size =\"29429760\"]\n  28 -> 38 [size =\"29429760\"]\n  28 -> 40 [size =\"29429760\"]\n  28 -> 44 [size =\"29429760\"]\n  28 -> 45 [size =\"29429760\"]\n  28 -> 47 [size =\"29429760\"]\n  28 -> 47 [size =\"29429760\"]\n  28 -> 49 [size =\"29429760\"]\n  28 -> 50 [size =\"29429760\"]\n  29 [size=\"45475840\", alpha=\"0.11\", expect_size=\"18190336\"] \n  29 -> 38 [size =\"18190336\"]\n  29 -> 41 [size =\"18190336\"]\n  29 -> 45 [size =\"18190336\"]\n  29 -> 46 [size =\"18190336\"]\n  29 -> 47 [size =\"18190336\"]\n  29 -> 47 [size =\"18190336\"]\n  29 -> 50 [size =\"18190336\"]\n  30 [size=\"34713600\", alpha=\"0.15\", expect_size=\"13885440\"] \n  30 -> 44 [size =\"13885440\"]\n  30 -> 45 [size =\"13885440\"]\n  30 -> 45 [size =\"13885440\"]\n  30 -> 47 [size =\"13885440\"]\n  30 -> 48 [size =\"13885440\"]\n  30 -> 50 [size =\"13885440\"]\n  31 [size=\"91061760\", alpha=\"0.08\", expect_size=\"36424704\"] \n  31 -> 38 [size =\"36424704\"]\n  31 -> 39 [size =\"36424704\"]\n  31 -> 41 [size =\"36424704\"]\n  31 -> 44 [size =\"36424704\"]\n  31 -> 45 [size =\"36424704\"]\n  31 -> 50 [size =\"36424704\"]\n  32 [size=\"27031040\", alpha=\"0.20\", expect_size=\"10812416\"] \n  32 -> 38 [size =\"10812416\"]\n  32 -> 39 [size =\"10812416\"]\n  32 -> 40 [size =\"10812416\"]\n  32 -> 41 [size =\"10812416\"]\n  32 -> 44 [size =\"10812416\"]\n  32 -> 45 [size =\"10812416\"]\n  32 -> 49 [size =\"10812416\"]\n  33 [size=\"21411840\", alpha=\"0.19\", expect_size=\"8564736\"] \n  33 -> 40 [size =\"8564736\"]\n  33 -> 41 [size =\"8564736\"]\n  33 -> 44 [size =\"8564736\"]\n  33 -> 45 [size =\"8564736\"]\n  33 -> 49 [size =\"8564736\"]\n  33 -> 50 [size =\"8564736\"]\n  34 [size=\"13667840\", alpha=\"0.09\", expect_size=\"5467136\"] \n  34 -> 36 [size =\"5467136\"]\n  34 -> 38 [size =\"5467136\"]\n  34 -> 39 [size =\"5467136\"]\n  34 -> 40 [size =\"5467136\"]\n  34 -> 41 [size =\"5467136\"]\n  34 -> 43 [size =\"5467136\"]\n  34 -> 44 [size =\"5467136\"]\n  34 -> 46 [size =\"5467136\"]\n  34 -> 47 [size =\"5467136\"]\n  34 -> 48 [size =\"5467136\"]\n  35 [size=\"94732800\", alpha=\"0.15\", expect_size=\"37893120\"] \n  35 -> 38 [size =\"37893120\"]\n  35 -> 41 [size =\"37893120\"]\n  35 -> 43 [size =\"37893120\"]\n  35 -> 44 [size =\"37893120\"]\n  35 -> 46 [size =\"37893120\"]\n  35 -> 48 [size =\"37893120\"]\n  36 [size=\"116090880\", alpha=\"0.12\", expect_size=\"46436352\"] \n  37 [size=\"25315840\", alpha=\"0.15\", expect_size=\"10126336\"] \n  38 [size=\"29020160\", alpha=\"0.00\", expect_size=\"11608064\"] \n  39 [size=\"55239680\", alpha=\"0.08\", expect_size=\"22095872\"] \n  40 [size=\"119751680\", alpha=\"0.02\", expect_size=\"47900672\"] \n  41 [size=\"88847360\", alpha=\"0.18\", expect_size=\"35538944\"] \n  42 [size=\"19494400\", alpha=\"0.14\", expect_size=\"7797760\"] \n  43 [size=\"18780160\", alpha=\"0.17\", expect_size=\"7512064\"] \n  44 [size=\"13468160\", alpha=\"0.10\", expect_size=\"5387264\"] \n  45 [size=\"65804800\", alpha=\"0.12\", expect_size=\"26321920\"] \n  46 [size=\"33733120\", alpha=\"0.08\", expect_size=\"13493248\"] \n  47 [size=\"107107840\", alpha=\"0.18\", expect_size=\"42843136\"] \n  48 [size=\"79490560\", alpha=\"0.19\", expect_size=\"31796224\"] \n  49 [size=\"79784960\", alpha=\"0.05\", expect_size=\"31913984\"] \n  50 [size=\"125401600\", alpha=\"0.15\", expect_size=\"50160640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.635.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86007808\", alpha=\"0.09\", expect_size=\"43003904\"] \n  1 -> 18 [size =\"43003904\"]\n  1 -> 19 [size =\"43003904\"]\n  1 -> 25 [size =\"43003904\"]\n  1 -> 27 [size =\"43003904\"]\n  1 -> 29 [size =\"43003904\"]\n  2 [size=\"17096704\", alpha=\"0.14\", expect_size=\"8548352\"] \n  2 -> 18 [size =\"8548352\"]\n  2 -> 19 [size =\"8548352\"]\n  2 -> 21 [size =\"8548352\"]\n  2 -> 25 [size =\"8548352\"]\n  2 -> 27 [size =\"8548352\"]\n  2 -> 28 [size =\"8548352\"]\n  2 -> 29 [size =\"8548352\"]\n  3 [size=\"27238400\", alpha=\"0.16\", expect_size=\"13619200\"] \n  3 -> 17 [size =\"13619200\"]\n  3 -> 19 [size =\"13619200\"]\n  3 -> 24 [size =\"13619200\"]\n  3 -> 27 [size =\"13619200\"]\n  3 -> 27 [size =\"13619200\"]\n  3 -> 28 [size =\"13619200\"]\n  3 -> 29 [size =\"13619200\"]\n  4 [size=\"46682112\", alpha=\"0.13\", expect_size=\"23341056\"] \n  4 -> 18 [size =\"23341056\"]\n  4 -> 19 [size =\"23341056\"]\n  4 -> 20 [size =\"23341056\"]\n  4 -> 23 [size =\"23341056\"]\n  4 -> 24 [size =\"23341056\"]\n  4 -> 27 [size =\"23341056\"]\n  4 -> 28 [size =\"23341056\"]\n  4 -> 29 [size =\"23341056\"]\n  5 [size=\"75669504\", alpha=\"0.14\", expect_size=\"37834752\"] \n  5 -> 18 [size =\"37834752\"]\n  5 -> 19 [size =\"37834752\"]\n  5 -> 20 [size =\"37834752\"]\n  5 -> 23 [size =\"37834752\"]\n  5 -> 25 [size =\"37834752\"]\n  5 -> 27 [size =\"37834752\"]\n  5 -> 28 [size =\"37834752\"]\n  5 -> 29 [size =\"37834752\"]\n  6 [size=\"103032832\", alpha=\"0.18\", expect_size=\"51516416\"] \n  6 -> 18 [size =\"51516416\"]\n  6 -> 19 [size =\"51516416\"]\n  6 -> 25 [size =\"51516416\"]\n  6 -> 27 [size =\"51516416\"]\n  6 -> 28 [size =\"51516416\"]\n  6 -> 29 [size =\"51516416\"]\n  6 -> 30 [size =\"51516416\"]\n  7 [size=\"82933760\", alpha=\"0.09\", expect_size=\"41466880\"] \n  7 -> 18 [size =\"41466880\"]\n  7 -> 19 [size =\"41466880\"]\n  7 -> 23 [size =\"41466880\"]\n  7 -> 24 [size =\"41466880\"]\n  7 -> 25 [size =\"41466880\"]\n  7 -> 27 [size =\"41466880\"]\n  7 -> 28 [size =\"41466880\"]\n  7 -> 29 [size =\"41466880\"]\n  8 [size=\"13905920\", alpha=\"0.01\", expect_size=\"6952960\"] \n  8 -> 18 [size =\"6952960\"]\n  8 -> 24 [size =\"6952960\"]\n  8 -> 25 [size =\"6952960\"]\n  8 -> 29 [size =\"6952960\"]\n  9 [size=\"46292992\", alpha=\"0.17\", expect_size=\"23146496\"] \n  9 -> 18 [size =\"23146496\"]\n  9 -> 22 [size =\"23146496\"]\n  9 -> 23 [size =\"23146496\"]\n  9 -> 24 [size =\"23146496\"]\n  9 -> 28 [size =\"23146496\"]\n  9 -> 29 [size =\"23146496\"]\n  10 [size=\"34316288\", alpha=\"0.07\", expect_size=\"17158144\"] \n  10 -> 18 [size =\"17158144\"]\n  10 -> 24 [size =\"17158144\"]\n  10 -> 25 [size =\"17158144\"]\n  10 -> 29 [size =\"17158144\"]\n  11 [size=\"92968960\", alpha=\"0.16\", expect_size=\"46484480\"] \n  11 -> 18 [size =\"46484480\"]\n  11 -> 23 [size =\"46484480\"]\n  11 -> 24 [size =\"46484480\"]\n  11 -> 25 [size =\"46484480\"]\n  11 -> 27 [size =\"46484480\"]\n  11 -> 28 [size =\"46484480\"]\n  12 [size=\"39587840\", alpha=\"0.09\", expect_size=\"19793920\"] \n  12 -> 19 [size =\"19793920\"]\n  12 -> 23 [size =\"19793920\"]\n  12 -> 24 [size =\"19793920\"]\n  12 -> 25 [size =\"19793920\"]\n  12 -> 26 [size =\"19793920\"]\n  12 -> 27 [size =\"19793920\"]\n  12 -> 28 [size =\"19793920\"]\n  12 -> 29 [size =\"19793920\"]\n  13 [size=\"12089344\", alpha=\"0.11\", expect_size=\"6044672\"] \n  13 -> 18 [size =\"6044672\"]\n  13 -> 19 [size =\"6044672\"]\n  13 -> 20 [size =\"6044672\"]\n  13 -> 24 [size =\"6044672\"]\n  13 -> 28 [size =\"6044672\"]\n  13 -> 29 [size =\"6044672\"]\n  14 [size=\"85612544\", alpha=\"0.16\", expect_size=\"42806272\"] \n  14 -> 18 [size =\"42806272\"]\n  14 -> 19 [size =\"42806272\"]\n  14 -> 24 [size =\"42806272\"]\n  14 -> 24 [size =\"42806272\"]\n  14 -> 25 [size =\"42806272\"]\n  14 -> 27 [size =\"42806272\"]\n  14 -> 29 [size =\"42806272\"]\n  15 [size=\"54667264\", alpha=\"0.18\", expect_size=\"27333632\"] \n  15 -> 18 [size =\"27333632\"]\n  15 -> 19 [size =\"27333632\"]\n  15 -> 23 [size =\"27333632\"]\n  15 -> 27 [size =\"27333632\"]\n  15 -> 29 [size =\"27333632\"]\n  16 [size=\"25497600\", alpha=\"0.06\", expect_size=\"12748800\"] \n  16 -> 18 [size =\"12748800\"]\n  16 -> 23 [size =\"12748800\"]\n  16 -> 25 [size =\"12748800\"]\n  16 -> 27 [size =\"12748800\"]\n  17 [size=\"15777792\", alpha=\"0.09\", expect_size=\"7888896\"] \n  17 -> 34 [size =\"7888896\"]\n  17 -> 36 [size =\"7888896\"]\n  17 -> 40 [size =\"7888896\"]\n  17 -> 41 [size =\"7888896\"]\n  17 -> 44 [size =\"7888896\"]\n  18 [size=\"58068992\", alpha=\"0.11\", expect_size=\"29034496\"] \n  18 -> 32 [size =\"29034496\"]\n  18 -> 34 [size =\"29034496\"]\n  18 -> 37 [size =\"29034496\"]\n  18 -> 38 [size =\"29034496\"]\n  18 -> 39 [size =\"29034496\"]\n  18 -> 40 [size =\"29034496\"]\n  18 -> 41 [size =\"29034496\"]\n  18 -> 43 [size =\"29034496\"]\n  18 -> 44 [size =\"29034496\"]\n  19 [size=\"64256000\", alpha=\"0.01\", expect_size=\"32128000\"] \n  19 -> 32 [size =\"32128000\"]\n  19 -> 34 [size =\"32128000\"]\n  19 -> 36 [size =\"32128000\"]\n  19 -> 37 [size =\"32128000\"]\n  19 -> 38 [size =\"32128000\"]\n  19 -> 39 [size =\"32128000\"]\n  19 -> 40 [size =\"32128000\"]\n  19 -> 44 [size =\"32128000\"]\n  19 -> 44 [size =\"32128000\"]\n  20 [size=\"48627712\", alpha=\"0.01\", expect_size=\"24313856\"] \n  20 -> 33 [size =\"24313856\"]\n  20 -> 37 [size =\"24313856\"]\n  20 -> 38 [size =\"24313856\"]\n  20 -> 39 [size =\"24313856\"]\n  20 -> 40 [size =\"24313856\"]\n  20 -> 41 [size =\"24313856\"]\n  20 -> 44 [size =\"24313856\"]\n  20 -> 45 [size =\"24313856\"]\n  21 [size=\"82350080\", alpha=\"0.16\", expect_size=\"41175040\"] \n  21 -> 33 [size =\"41175040\"]\n  21 -> 34 [size =\"41175040\"]\n  21 -> 35 [size =\"41175040\"]\n  21 -> 37 [size =\"41175040\"]\n  21 -> 38 [size =\"41175040\"]\n  21 -> 40 [size =\"41175040\"]\n  21 -> 41 [size =\"41175040\"]\n  21 -> 42 [size =\"41175040\"]\n  21 -> 44 [size =\"41175040\"]\n  22 [size=\"65648640\", alpha=\"0.13\", expect_size=\"32824320\"] \n  22 -> 34 [size =\"32824320\"]\n  22 -> 35 [size =\"32824320\"]\n  22 -> 37 [size =\"32824320\"]\n  22 -> 38 [size =\"32824320\"]\n  22 -> 39 [size =\"32824320\"]\n  22 -> 40 [size =\"32824320\"]\n  22 -> 41 [size =\"32824320\"]\n  22 -> 45 [size =\"32824320\"]\n  23 [size=\"11948032\", alpha=\"0.14\", expect_size=\"5974016\"] \n  23 -> 36 [size =\"5974016\"]\n  23 -> 37 [size =\"5974016\"]\n  23 -> 39 [size =\"5974016\"]\n  23 -> 40 [size =\"5974016\"]\n  24 [size=\"62695424\", alpha=\"0.02\", expect_size=\"31347712\"] \n  24 -> 31 [size =\"31347712\"]\n  24 -> 32 [size =\"31347712\"]\n  24 -> 33 [size =\"31347712\"]\n  24 -> 34 [size =\"31347712\"]\n  24 -> 37 [size =\"31347712\"]\n  24 -> 39 [size =\"31347712\"]\n  24 -> 40 [size =\"31347712\"]\n  24 -> 42 [size =\"31347712\"]\n  25 [size=\"41607168\", alpha=\"0.04\", expect_size=\"20803584\"] \n  25 -> 33 [size =\"20803584\"]\n  25 -> 37 [size =\"20803584\"]\n  25 -> 38 [size =\"20803584\"]\n  25 -> 39 [size =\"20803584\"]\n  25 -> 40 [size =\"20803584\"]\n  25 -> 44 [size =\"20803584\"]\n  26 [size=\"30089216\", alpha=\"0.06\", expect_size=\"15044608\"] \n  26 -> 32 [size =\"15044608\"]\n  26 -> 33 [size =\"15044608\"]\n  26 -> 34 [size =\"15044608\"]\n  26 -> 36 [size =\"15044608\"]\n  26 -> 37 [size =\"15044608\"]\n  26 -> 38 [size =\"15044608\"]\n  26 -> 39 [size =\"15044608\"]\n  26 -> 40 [size =\"15044608\"]\n  26 -> 42 [size =\"15044608\"]\n  26 -> 43 [size =\"15044608\"]\n  27 [size=\"57913344\", alpha=\"0.03\", expect_size=\"28956672\"] \n  27 -> 32 [size =\"28956672\"]\n  27 -> 33 [size =\"28956672\"]\n  27 -> 34 [size =\"28956672\"]\n  27 -> 36 [size =\"28956672\"]\n  27 -> 37 [size =\"28956672\"]\n  27 -> 38 [size =\"28956672\"]\n  27 -> 39 [size =\"28956672\"]\n  27 -> 40 [size =\"28956672\"]\n  27 -> 43 [size =\"28956672\"]\n  27 -> 44 [size =\"28956672\"]\n  28 [size=\"100532224\", alpha=\"0.00\", expect_size=\"50266112\"] \n  28 -> 32 [size =\"50266112\"]\n  28 -> 34 [size =\"50266112\"]\n  28 -> 36 [size =\"50266112\"]\n  28 -> 36 [size =\"50266112\"]\n  28 -> 37 [size =\"50266112\"]\n  28 -> 38 [size =\"50266112\"]\n  28 -> 39 [size =\"50266112\"]\n  28 -> 44 [size =\"50266112\"]\n  29 [size=\"56553472\", alpha=\"0.06\", expect_size=\"28276736\"] \n  29 -> 32 [size =\"28276736\"]\n  29 -> 33 [size =\"28276736\"]\n  29 -> 35 [size =\"28276736\"]\n  29 -> 37 [size =\"28276736\"]\n  29 -> 38 [size =\"28276736\"]\n  29 -> 39 [size =\"28276736\"]\n  29 -> 44 [size =\"28276736\"]\n  29 -> 44 [size =\"28276736\"]\n  30 [size=\"62472192\", alpha=\"0.16\", expect_size=\"31236096\"] \n  30 -> 32 [size =\"31236096\"]\n  30 -> 38 [size =\"31236096\"]\n  30 -> 39 [size =\"31236096\"]\n  30 -> 40 [size =\"31236096\"]\n  30 -> 41 [size =\"31236096\"]\n  30 -> 42 [size =\"31236096\"]\n  30 -> 44 [size =\"31236096\"]\n  31 [size=\"66271232\", alpha=\"0.04\", expect_size=\"33135616\"] \n  31 -> 46 [size =\"33135616\"]\n  31 -> 50 [size =\"33135616\"]\n  32 [size=\"49102848\", alpha=\"0.18\", expect_size=\"24551424\"] \n  32 -> 46 [size =\"24551424\"]\n  32 -> 47 [size =\"24551424\"]\n  32 -> 48 [size =\"24551424\"]\n  32 -> 49 [size =\"24551424\"]\n  33 [size=\"17575936\", alpha=\"0.12\", expect_size=\"8787968\"] \n  33 -> 46 [size =\"8787968\"]\n  33 -> 48 [size =\"8787968\"]\n  33 -> 49 [size =\"8787968\"]\n  34 [size=\"82814976\", alpha=\"0.02\", expect_size=\"41407488\"] \n  34 -> 46 [size =\"41407488\"]\n  34 -> 49 [size =\"41407488\"]\n  35 [size=\"92276736\", alpha=\"0.02\", expect_size=\"46138368\"] \n  35 -> 46 [size =\"46138368\"]\n  35 -> 48 [size =\"46138368\"]\n  35 -> 49 [size =\"46138368\"]\n  36 [size=\"16771072\", alpha=\"0.05\", expect_size=\"8385536\"] \n  36 -> 50 [size =\"8385536\"]\n  37 [size=\"43220992\", alpha=\"0.08\", expect_size=\"21610496\"] \n  37 -> 46 [size =\"21610496\"]\n  38 [size=\"55328768\", alpha=\"0.02\", expect_size=\"27664384\"] \n  38 -> 47 [size =\"27664384\"]\n  38 -> 49 [size =\"27664384\"]\n  39 [size=\"56516608\", alpha=\"0.08\", expect_size=\"28258304\"] \n  39 -> 48 [size =\"28258304\"]\n  39 -> 49 [size =\"28258304\"]\n  40 [size=\"82593792\", alpha=\"0.01\", expect_size=\"41296896\"] \n  40 -> 46 [size =\"41296896\"]\n  40 -> 48 [size =\"41296896\"]\n  40 -> 50 [size =\"41296896\"]\n  41 [size=\"63019008\", alpha=\"0.10\", expect_size=\"31509504\"] \n  41 -> 46 [size =\"31509504\"]\n  41 -> 48 [size =\"31509504\"]\n  41 -> 50 [size =\"31509504\"]\n  42 [size=\"80277504\", alpha=\"0.10\", expect_size=\"40138752\"] \n  42 -> 46 [size =\"40138752\"]\n  42 -> 50 [size =\"40138752\"]\n  43 [size=\"69099520\", alpha=\"0.11\", expect_size=\"34549760\"] \n  43 -> 46 [size =\"34549760\"]\n  43 -> 49 [size =\"34549760\"]\n  44 [size=\"31088640\", alpha=\"0.03\", expect_size=\"15544320\"] \n  44 -> 46 [size =\"15544320\"]\n  44 -> 49 [size =\"15544320\"]\n  44 -> 50 [size =\"15544320\"]\n  45 [size=\"41375744\", alpha=\"0.01\", expect_size=\"20687872\"] \n  45 -> 46 [size =\"20687872\"]\n  45 -> 49 [size =\"20687872\"]\n  45 -> 50 [size =\"20687872\"]\n  46 [size=\"49768448\", alpha=\"0.04\", expect_size=\"24884224\"] \n  47 [size=\"71280640\", alpha=\"0.16\", expect_size=\"35640320\"] \n  48 [size=\"16832512\", alpha=\"0.08\", expect_size=\"8416256\"] \n  49 [size=\"28381184\", alpha=\"0.09\", expect_size=\"14190592\"] \n  50 [size=\"65325056\", alpha=\"0.02\", expect_size=\"32662528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.636.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31852544\", alpha=\"0.12\", expect_size=\"15926272\"] \n  1 -> 2 [size =\"15926272\"]\n  2 [size=\"46546944\", alpha=\"0.20\", expect_size=\"23273472\"] \n  2 -> 3 [size =\"23273472\"]\n  3 [size=\"44027904\", alpha=\"0.18\", expect_size=\"22013952\"] \n  3 -> 4 [size =\"22013952\"]\n  4 [size=\"47638528\", alpha=\"0.09\", expect_size=\"23819264\"] \n  4 -> 5 [size =\"23819264\"]\n  5 [size=\"12007424\", alpha=\"0.13\", expect_size=\"6003712\"] \n  5 -> 6 [size =\"6003712\"]\n  6 [size=\"94816256\", alpha=\"0.04\", expect_size=\"47408128\"] \n  6 -> 7 [size =\"47408128\"]\n  7 [size=\"97269760\", alpha=\"0.20\", expect_size=\"48634880\"] \n  7 -> 8 [size =\"48634880\"]\n  8 [size=\"87332864\", alpha=\"0.14\", expect_size=\"43666432\"] \n  8 -> 9 [size =\"43666432\"]\n  9 [size=\"36902912\", alpha=\"0.02\", expect_size=\"18451456\"] \n  9 -> 10 [size =\"18451456\"]\n  10 [size=\"88283136\", alpha=\"0.03\", expect_size=\"44141568\"] \n  10 -> 11 [size =\"44141568\"]\n  11 [size=\"98410496\", alpha=\"0.05\", expect_size=\"49205248\"] \n  11 -> 12 [size =\"49205248\"]\n  12 [size=\"60297216\", alpha=\"0.15\", expect_size=\"30148608\"] \n  12 -> 13 [size =\"30148608\"]\n  13 [size=\"58812416\", alpha=\"0.04\", expect_size=\"29406208\"] \n  13 -> 14 [size =\"29406208\"]\n  14 [size=\"51146752\", alpha=\"0.06\", expect_size=\"25573376\"] \n  14 -> 15 [size =\"25573376\"]\n  15 [size=\"94543872\", alpha=\"0.17\", expect_size=\"47271936\"] \n  15 -> 16 [size =\"47271936\"]\n  16 [size=\"59183104\", alpha=\"0.08\", expect_size=\"29591552\"] \n  16 -> 17 [size =\"29591552\"]\n  17 [size=\"77457408\", alpha=\"0.15\", expect_size=\"38728704\"] \n  17 -> 18 [size =\"38728704\"]\n  18 [size=\"75175936\", alpha=\"0.10\", expect_size=\"37587968\"] \n  18 -> 19 [size =\"37587968\"]\n  19 [size=\"45223936\", alpha=\"0.12\", expect_size=\"22611968\"] \n  19 -> 20 [size =\"22611968\"]\n  20 [size=\"55083008\", alpha=\"0.14\", expect_size=\"27541504\"] \n  20 -> 21 [size =\"27541504\"]\n  21 [size=\"69054464\", alpha=\"0.19\", expect_size=\"34527232\"] \n  21 -> 22 [size =\"34527232\"]\n  22 [size=\"92028928\", alpha=\"0.13\", expect_size=\"46014464\"] \n  22 -> 23 [size =\"46014464\"]\n  23 [size=\"66185216\", alpha=\"0.14\", expect_size=\"33092608\"] \n  23 -> 24 [size =\"33092608\"]\n  24 [size=\"84731904\", alpha=\"0.02\", expect_size=\"42365952\"] \n  24 -> 25 [size =\"42365952\"]\n  25 [size=\"19243008\", alpha=\"0.11\", expect_size=\"9621504\"] \n  25 -> 26 [size =\"9621504\"]\n  26 [size=\"97171456\", alpha=\"0.18\", expect_size=\"48585728\"] \n  26 -> 27 [size =\"48585728\"]\n  27 [size=\"42348544\", alpha=\"0.03\", expect_size=\"21174272\"] \n  27 -> 28 [size =\"21174272\"]\n  28 [size=\"17815552\", alpha=\"0.04\", expect_size=\"8907776\"] \n  28 -> 29 [size =\"8907776\"]\n  29 [size=\"62879744\", alpha=\"0.11\", expect_size=\"31439872\"] \n  29 -> 30 [size =\"31439872\"]\n  30 [size=\"25993216\", alpha=\"0.15\", expect_size=\"12996608\"] \n  30 -> 31 [size =\"12996608\"]\n  31 [size=\"89903104\", alpha=\"0.17\", expect_size=\"44951552\"] \n  31 -> 32 [size =\"44951552\"]\n  32 [size=\"87232512\", alpha=\"0.09\", expect_size=\"43616256\"] \n  32 -> 33 [size =\"43616256\"]\n  33 [size=\"54044672\", alpha=\"0.12\", expect_size=\"27022336\"] \n  33 -> 34 [size =\"27022336\"]\n  34 [size=\"23879680\", alpha=\"0.04\", expect_size=\"11939840\"] \n  34 -> 35 [size =\"11939840\"]\n  35 [size=\"33896448\", alpha=\"0.13\", expect_size=\"16948224\"] \n  35 -> 36 [size =\"16948224\"]\n  36 [size=\"85610496\", alpha=\"0.13\", expect_size=\"42805248\"] \n  36 -> 37 [size =\"42805248\"]\n  37 [size=\"74616832\", alpha=\"0.07\", expect_size=\"37308416\"] \n  37 -> 38 [size =\"37308416\"]\n  38 [size=\"87695360\", alpha=\"0.14\", expect_size=\"43847680\"] \n  38 -> 39 [size =\"43847680\"]\n  39 [size=\"12953600\", alpha=\"0.09\", expect_size=\"6476800\"] \n  39 -> 40 [size =\"6476800\"]\n  40 [size=\"65554432\", alpha=\"0.14\", expect_size=\"32777216\"] \n  40 -> 41 [size =\"32777216\"]\n  41 [size=\"40179712\", alpha=\"0.10\", expect_size=\"20089856\"] \n  41 -> 42 [size =\"20089856\"]\n  42 [size=\"24756224\", alpha=\"0.04\", expect_size=\"12378112\"] \n  42 -> 43 [size =\"12378112\"]\n  43 [size=\"69093376\", alpha=\"0.10\", expect_size=\"34546688\"] \n  43 -> 44 [size =\"34546688\"]\n  44 [size=\"32776192\", alpha=\"0.12\", expect_size=\"16388096\"] \n  44 -> 45 [size =\"16388096\"]\n  45 [size=\"50839552\", alpha=\"0.15\", expect_size=\"25419776\"] \n  45 -> 46 [size =\"25419776\"]\n  46 [size=\"18595840\", alpha=\"0.17\", expect_size=\"9297920\"] \n  46 -> 47 [size =\"9297920\"]\n  47 [size=\"79116288\", alpha=\"0.06\", expect_size=\"39558144\"] \n  47 -> 48 [size =\"39558144\"]\n  48 [size=\"16254976\", alpha=\"0.16\", expect_size=\"8127488\"] \n  48 -> 49 [size =\"8127488\"]\n  49 [size=\"83451904\", alpha=\"0.17\", expect_size=\"41725952\"] \n  49 -> 50 [size =\"41725952\"]\n  50 [size=\"32329728\", alpha=\"0.02\", expect_size=\"16164864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.637.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68850347\", alpha=\"0.04\", expect_size=\"20655104\"] \n  1 -> 9 [size =\"20655104\"]\n  1 -> 13 [size =\"20655104\"]\n  2 [size=\"135526400\", alpha=\"0.02\", expect_size=\"40657920\"] \n  2 -> 7 [size =\"40657920\"]\n  2 -> 8 [size =\"40657920\"]\n  2 -> 9 [size =\"40657920\"]\n  2 -> 10 [size =\"40657920\"]\n  2 -> 11 [size =\"40657920\"]\n  3 [size=\"49063253\", alpha=\"0.18\", expect_size=\"14718976\"] \n  3 -> 7 [size =\"14718976\"]\n  3 -> 8 [size =\"14718976\"]\n  3 -> 9 [size =\"14718976\"]\n  3 -> 10 [size =\"14718976\"]\n  3 -> 11 [size =\"14718976\"]\n  4 [size=\"120238080\", alpha=\"0.12\", expect_size=\"36071424\"] \n  4 -> 13 [size =\"36071424\"]\n  5 [size=\"48984747\", alpha=\"0.11\", expect_size=\"14695424\"] \n  5 -> 8 [size =\"14695424\"]\n  5 -> 9 [size =\"14695424\"]\n  5 -> 11 [size =\"14695424\"]\n  5 -> 12 [size =\"14695424\"]\n  5 -> 13 [size =\"14695424\"]\n  6 [size=\"38574080\", alpha=\"0.19\", expect_size=\"11572224\"] \n  6 -> 9 [size =\"11572224\"]\n  6 -> 13 [size =\"11572224\"]\n  7 [size=\"82435413\", alpha=\"0.15\", expect_size=\"24730624\"] \n  7 -> 14 [size =\"24730624\"]\n  7 -> 15 [size =\"24730624\"]\n  8 [size=\"139209387\", alpha=\"0.01\", expect_size=\"41762816\"] \n  8 -> 15 [size =\"41762816\"]\n  8 -> 20 [size =\"41762816\"]\n  9 [size=\"76144640\", alpha=\"0.09\", expect_size=\"22843392\"] \n  9 -> 18 [size =\"22843392\"]\n  10 [size=\"160105813\", alpha=\"0.06\", expect_size=\"48031744\"] \n  11 [size=\"120309760\", alpha=\"0.07\", expect_size=\"36092928\"] \n  11 -> 19 [size =\"36092928\"]\n  12 [size=\"153569280\", alpha=\"0.15\", expect_size=\"46070784\"] \n  12 -> 14 [size =\"46070784\"]\n  12 -> 15 [size =\"46070784\"]\n  12 -> 16 [size =\"46070784\"]\n  13 [size=\"167069013\", alpha=\"0.05\", expect_size=\"50120704\"] \n  13 -> 17 [size =\"50120704\"]\n  14 [size=\"153108480\", alpha=\"0.04\", expect_size=\"45932544\"] \n  14 -> 24 [size =\"45932544\"]\n  15 [size=\"93463893\", alpha=\"0.06\", expect_size=\"28039168\"] \n  15 -> 21 [size =\"28039168\"]\n  15 -> 23 [size =\"28039168\"]\n  15 -> 24 [size =\"28039168\"]\n  16 [size=\"25849173\", alpha=\"0.03\", expect_size=\"7754752\"] \n  16 -> 21 [size =\"7754752\"]\n  16 -> 24 [size =\"7754752\"]\n  16 -> 25 [size =\"7754752\"]\n  16 -> 26 [size =\"7754752\"]\n  17 [size=\"174120960\", alpha=\"0.20\", expect_size=\"52236288\"] \n  17 -> 21 [size =\"52236288\"]\n  17 -> 26 [size =\"52236288\"]\n  18 [size=\"132655787\", alpha=\"0.05\", expect_size=\"39796736\"] \n  18 -> 21 [size =\"39796736\"]\n  18 -> 22 [size =\"39796736\"]\n  18 -> 24 [size =\"39796736\"]\n  18 -> 26 [size =\"39796736\"]\n  19 [size=\"138939733\", alpha=\"0.06\", expect_size=\"41681920\"] \n  19 -> 26 [size =\"41681920\"]\n  20 [size=\"50599253\", alpha=\"0.13\", expect_size=\"15179776\"] \n  20 -> 24 [size =\"15179776\"]\n  20 -> 26 [size =\"15179776\"]\n  21 [size=\"99744427\", alpha=\"0.07\", expect_size=\"29923328\"] \n  21 -> 31 [size =\"29923328\"]\n  22 [size=\"155531947\", alpha=\"0.15\", expect_size=\"46659584\"] \n  22 -> 28 [size =\"46659584\"]\n  22 -> 29 [size =\"46659584\"]\n  22 -> 31 [size =\"46659584\"]\n  23 [size=\"113541120\", alpha=\"0.08\", expect_size=\"34062336\"] \n  23 -> 32 [size =\"34062336\"]\n  23 -> 33 [size =\"34062336\"]\n  24 [size=\"150760107\", alpha=\"0.14\", expect_size=\"45228032\"] \n  24 -> 27 [size =\"45228032\"]\n  24 -> 30 [size =\"45228032\"]\n  24 -> 31 [size =\"45228032\"]\n  24 -> 33 [size =\"45228032\"]\n  25 [size=\"23722667\", alpha=\"0.04\", expect_size=\"7116800\"] \n  25 -> 29 [size =\"7116800\"]\n  25 -> 30 [size =\"7116800\"]\n  25 -> 32 [size =\"7116800\"]\n  25 -> 33 [size =\"7116800\"]\n  26 [size=\"70430720\", alpha=\"0.17\", expect_size=\"21129216\"] \n  26 -> 30 [size =\"21129216\"]\n  26 -> 30 [size =\"21129216\"]\n  26 -> 31 [size =\"21129216\"]\n  26 -> 32 [size =\"21129216\"]\n  27 [size=\"94446933\", alpha=\"0.17\", expect_size=\"28334080\"] \n  27 -> 35 [size =\"28334080\"]\n  27 -> 37 [size =\"28334080\"]\n  27 -> 39 [size =\"28334080\"]\n  28 [size=\"92514987\", alpha=\"0.14\", expect_size=\"27754496\"] \n  28 -> 37 [size =\"27754496\"]\n  29 [size=\"135246507\", alpha=\"0.17\", expect_size=\"40573952\"] \n  29 -> 35 [size =\"40573952\"]\n  29 -> 36 [size =\"40573952\"]\n  29 -> 37 [size =\"40573952\"]\n  29 -> 39 [size =\"40573952\"]\n  30 [size=\"23043413\", alpha=\"0.19\", expect_size=\"6913024\"] \n  30 -> 37 [size =\"6913024\"]\n  30 -> 38 [size =\"6913024\"]\n  30 -> 39 [size =\"6913024\"]\n  31 [size=\"124928000\", alpha=\"0.14\", expect_size=\"37478400\"] \n  31 -> 35 [size =\"37478400\"]\n  31 -> 38 [size =\"37478400\"]\n  32 [size=\"20404907\", alpha=\"0.06\", expect_size=\"6121472\"] \n  32 -> 36 [size =\"6121472\"]\n  32 -> 37 [size =\"6121472\"]\n  32 -> 38 [size =\"6121472\"]\n  32 -> 39 [size =\"6121472\"]\n  33 [size=\"142107307\", alpha=\"0.18\", expect_size=\"42632192\"] \n  33 -> 34 [size =\"42632192\"]\n  33 -> 38 [size =\"42632192\"]\n  33 -> 38 [size =\"42632192\"]\n  33 -> 39 [size =\"42632192\"]\n  34 [size=\"49762987\", alpha=\"0.06\", expect_size=\"14928896\"] \n  34 -> 40 [size =\"14928896\"]\n  34 -> 43 [size =\"14928896\"]\n  34 -> 44 [size =\"14928896\"]\n  34 -> 46 [size =\"14928896\"]\n  34 -> 47 [size =\"14928896\"]\n  35 [size=\"160706560\", alpha=\"0.04\", expect_size=\"48211968\"] \n  35 -> 41 [size =\"48211968\"]\n  35 -> 44 [size =\"48211968\"]\n  35 -> 45 [size =\"48211968\"]\n  35 -> 47 [size =\"48211968\"]\n  35 -> 47 [size =\"48211968\"]\n  36 [size=\"34590720\", alpha=\"0.04\", expect_size=\"10377216\"] \n  36 -> 40 [size =\"10377216\"]\n  36 -> 41 [size =\"10377216\"]\n  36 -> 43 [size =\"10377216\"]\n  36 -> 47 [size =\"10377216\"]\n  37 [size=\"164375893\", alpha=\"0.03\", expect_size=\"49312768\"] \n  37 -> 40 [size =\"49312768\"]\n  37 -> 44 [size =\"49312768\"]\n  37 -> 47 [size =\"49312768\"]\n  38 [size=\"143158613\", alpha=\"0.17\", expect_size=\"42947584\"] \n  38 -> 42 [size =\"42947584\"]\n  38 -> 46 [size =\"42947584\"]\n  39 [size=\"92682240\", alpha=\"0.06\", expect_size=\"27804672\"] \n  39 -> 41 [size =\"27804672\"]\n  39 -> 42 [size =\"27804672\"]\n  39 -> 46 [size =\"27804672\"]\n  40 [size=\"71611733\", alpha=\"0.19\", expect_size=\"21483520\"] \n  40 -> 49 [size =\"21483520\"]\n  40 -> 50 [size =\"21483520\"]\n  41 [size=\"65293653\", alpha=\"0.03\", expect_size=\"19588096\"] \n  41 -> 48 [size =\"19588096\"]\n  41 -> 50 [size =\"19588096\"]\n  42 [size=\"19275093\", alpha=\"0.05\", expect_size=\"5782528\"] \n  42 -> 48 [size =\"5782528\"]\n  42 -> 49 [size =\"5782528\"]\n  42 -> 50 [size =\"5782528\"]\n  43 [size=\"69652480\", alpha=\"0.19\", expect_size=\"20895744\"] \n  43 -> 49 [size =\"20895744\"]\n  43 -> 50 [size =\"20895744\"]\n  44 [size=\"51445760\", alpha=\"0.09\", expect_size=\"15433728\"] \n  44 -> 49 [size =\"15433728\"]\n  45 [size=\"100290560\", alpha=\"0.01\", expect_size=\"30087168\"] \n  45 -> 48 [size =\"30087168\"]\n  45 -> 50 [size =\"30087168\"]\n  46 [size=\"134888107\", alpha=\"0.19\", expect_size=\"40466432\"] \n  47 [size=\"163614720\", alpha=\"0.07\", expect_size=\"49084416\"] \n  47 -> 50 [size =\"49084416\"]\n  48 [size=\"28542293\", alpha=\"0.04\", expect_size=\"8562688\"] \n  49 [size=\"159423147\", alpha=\"0.17\", expect_size=\"47826944\"] \n  50 [size=\"48581973\", alpha=\"0.10\", expect_size=\"14574592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.638.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89358336\", alpha=\"0.18\", expect_size=\"44679168\"] \n  1 -> 41 [size =\"44679168\"]\n  1 -> 47 [size =\"44679168\"]\n  2 [size=\"37574656\", alpha=\"0.17\", expect_size=\"18787328\"] \n  2 -> 34 [size =\"18787328\"]\n  2 -> 35 [size =\"18787328\"]\n  2 -> 36 [size =\"18787328\"]\n  2 -> 38 [size =\"18787328\"]\n  2 -> 41 [size =\"18787328\"]\n  2 -> 45 [size =\"18787328\"]\n  2 -> 50 [size =\"18787328\"]\n  3 [size=\"98887680\", alpha=\"0.15\", expect_size=\"49443840\"] \n  3 -> 36 [size =\"49443840\"]\n  3 -> 38 [size =\"49443840\"]\n  3 -> 39 [size =\"49443840\"]\n  3 -> 41 [size =\"49443840\"]\n  3 -> 41 [size =\"49443840\"]\n  3 -> 46 [size =\"49443840\"]\n  3 -> 50 [size =\"49443840\"]\n  4 [size=\"17401856\", alpha=\"0.04\", expect_size=\"8700928\"] \n  4 -> 35 [size =\"8700928\"]\n  4 -> 36 [size =\"8700928\"]\n  4 -> 49 [size =\"8700928\"]\n  4 -> 50 [size =\"8700928\"]\n  5 [size=\"74919936\", alpha=\"0.05\", expect_size=\"37459968\"] \n  5 -> 35 [size =\"37459968\"]\n  5 -> 37 [size =\"37459968\"]\n  5 -> 43 [size =\"37459968\"]\n  5 -> 47 [size =\"37459968\"]\n  5 -> 48 [size =\"37459968\"]\n  5 -> 50 [size =\"37459968\"]\n  6 [size=\"27502592\", alpha=\"0.19\", expect_size=\"13751296\"] \n  6 -> 35 [size =\"13751296\"]\n  6 -> 41 [size =\"13751296\"]\n  6 -> 46 [size =\"13751296\"]\n  6 -> 48 [size =\"13751296\"]\n  6 -> 50 [size =\"13751296\"]\n  7 [size=\"42864640\", alpha=\"0.09\", expect_size=\"21432320\"] \n  7 -> 36 [size =\"21432320\"]\n  7 -> 41 [size =\"21432320\"]\n  7 -> 49 [size =\"21432320\"]\n  8 [size=\"92964864\", alpha=\"0.08\", expect_size=\"46482432\"] \n  8 -> 35 [size =\"46482432\"]\n  8 -> 46 [size =\"46482432\"]\n  8 -> 47 [size =\"46482432\"]\n  8 -> 49 [size =\"46482432\"]\n  9 [size=\"41588736\", alpha=\"0.18\", expect_size=\"20794368\"] \n  9 -> 34 [size =\"20794368\"]\n  9 -> 47 [size =\"20794368\"]\n  10 [size=\"95232000\", alpha=\"0.09\", expect_size=\"47616000\"] \n  10 -> 40 [size =\"47616000\"]\n  10 -> 47 [size =\"47616000\"]\n  10 -> 49 [size =\"47616000\"]\n  11 [size=\"40904704\", alpha=\"0.10\", expect_size=\"20452352\"] \n  11 -> 34 [size =\"20452352\"]\n  11 -> 36 [size =\"20452352\"]\n  11 -> 42 [size =\"20452352\"]\n  11 -> 44 [size =\"20452352\"]\n  11 -> 47 [size =\"20452352\"]\n  11 -> 49 [size =\"20452352\"]\n  12 [size=\"31547392\", alpha=\"0.11\", expect_size=\"15773696\"] \n  12 -> 34 [size =\"15773696\"]\n  12 -> 36 [size =\"15773696\"]\n  12 -> 38 [size =\"15773696\"]\n  12 -> 42 [size =\"15773696\"]\n  12 -> 45 [size =\"15773696\"]\n  12 -> 46 [size =\"15773696\"]\n  12 -> 47 [size =\"15773696\"]\n  12 -> 49 [size =\"15773696\"]\n  13 [size=\"16048128\", alpha=\"0.16\", expect_size=\"8024064\"] \n  13 -> 34 [size =\"8024064\"]\n  13 -> 36 [size =\"8024064\"]\n  13 -> 38 [size =\"8024064\"]\n  13 -> 40 [size =\"8024064\"]\n  13 -> 41 [size =\"8024064\"]\n  13 -> 45 [size =\"8024064\"]\n  14 [size=\"84838400\", alpha=\"0.09\", expect_size=\"42419200\"] \n  14 -> 34 [size =\"42419200\"]\n  14 -> 35 [size =\"42419200\"]\n  14 -> 40 [size =\"42419200\"]\n  14 -> 47 [size =\"42419200\"]\n  14 -> 49 [size =\"42419200\"]\n  15 [size=\"102545408\", alpha=\"0.18\", expect_size=\"51272704\"] \n  15 -> 38 [size =\"51272704\"]\n  15 -> 44 [size =\"51272704\"]\n  15 -> 46 [size =\"51272704\"]\n  15 -> 50 [size =\"51272704\"]\n  16 [size=\"33880064\", alpha=\"0.14\", expect_size=\"16940032\"] \n  16 -> 38 [size =\"16940032\"]\n  16 -> 41 [size =\"16940032\"]\n  16 -> 42 [size =\"16940032\"]\n  16 -> 44 [size =\"16940032\"]\n  16 -> 46 [size =\"16940032\"]\n  16 -> 47 [size =\"16940032\"]\n  16 -> 49 [size =\"16940032\"]\n  16 -> 50 [size =\"16940032\"]\n  17 [size=\"28413952\", alpha=\"0.19\", expect_size=\"14206976\"] \n  17 -> 38 [size =\"14206976\"]\n  17 -> 41 [size =\"14206976\"]\n  17 -> 45 [size =\"14206976\"]\n  17 -> 46 [size =\"14206976\"]\n  17 -> 49 [size =\"14206976\"]\n  17 -> 50 [size =\"14206976\"]\n  18 [size=\"73050112\", alpha=\"0.05\", expect_size=\"36525056\"] \n  18 -> 34 [size =\"36525056\"]\n  18 -> 40 [size =\"36525056\"]\n  18 -> 41 [size =\"36525056\"]\n  18 -> 44 [size =\"36525056\"]\n  18 -> 46 [size =\"36525056\"]\n  18 -> 48 [size =\"36525056\"]\n  18 -> 49 [size =\"36525056\"]\n  18 -> 50 [size =\"36525056\"]\n  19 [size=\"16246784\", alpha=\"0.09\", expect_size=\"8123392\"] \n  19 -> 36 [size =\"8123392\"]\n  19 -> 40 [size =\"8123392\"]\n  19 -> 41 [size =\"8123392\"]\n  19 -> 45 [size =\"8123392\"]\n  19 -> 49 [size =\"8123392\"]\n  19 -> 50 [size =\"8123392\"]\n  20 [size=\"102850560\", alpha=\"0.20\", expect_size=\"51425280\"] \n  20 -> 38 [size =\"51425280\"]\n  20 -> 46 [size =\"51425280\"]\n  20 -> 47 [size =\"51425280\"]\n  20 -> 48 [size =\"51425280\"]\n  20 -> 49 [size =\"51425280\"]\n  20 -> 50 [size =\"51425280\"]\n  21 [size=\"49756160\", alpha=\"0.07\", expect_size=\"24878080\"] \n  21 -> 35 [size =\"24878080\"]\n  21 -> 47 [size =\"24878080\"]\n  21 -> 49 [size =\"24878080\"]\n  22 [size=\"94605312\", alpha=\"0.19\", expect_size=\"47302656\"] \n  22 -> 34 [size =\"47302656\"]\n  22 -> 49 [size =\"47302656\"]\n  22 -> 49 [size =\"47302656\"]\n  23 [size=\"54075392\", alpha=\"0.11\", expect_size=\"27037696\"] \n  23 -> 38 [size =\"27037696\"]\n  23 -> 40 [size =\"27037696\"]\n  23 -> 46 [size =\"27037696\"]\n  23 -> 47 [size =\"27037696\"]\n  23 -> 49 [size =\"27037696\"]\n  24 [size=\"33421312\", alpha=\"0.04\", expect_size=\"16710656\"] \n  24 -> 34 [size =\"16710656\"]\n  24 -> 38 [size =\"16710656\"]\n  24 -> 41 [size =\"16710656\"]\n  24 -> 46 [size =\"16710656\"]\n  24 -> 50 [size =\"16710656\"]\n  25 [size=\"76920832\", alpha=\"0.10\", expect_size=\"38460416\"] \n  25 -> 44 [size =\"38460416\"]\n  25 -> 45 [size =\"38460416\"]\n  25 -> 47 [size =\"38460416\"]\n  25 -> 49 [size =\"38460416\"]\n  26 [size=\"65835008\", alpha=\"0.01\", expect_size=\"32917504\"] \n  26 -> 38 [size =\"32917504\"]\n  26 -> 41 [size =\"32917504\"]\n  26 -> 50 [size =\"32917504\"]\n  27 [size=\"39714816\", alpha=\"0.18\", expect_size=\"19857408\"] \n  27 -> 40 [size =\"19857408\"]\n  27 -> 41 [size =\"19857408\"]\n  27 -> 46 [size =\"19857408\"]\n  28 [size=\"33554432\", alpha=\"0.12\", expect_size=\"16777216\"] \n  28 -> 34 [size =\"16777216\"]\n  28 -> 35 [size =\"16777216\"]\n  28 -> 40 [size =\"16777216\"]\n  28 -> 42 [size =\"16777216\"]\n  28 -> 44 [size =\"16777216\"]\n  28 -> 48 [size =\"16777216\"]\n  29 [size=\"56942592\", alpha=\"0.13\", expect_size=\"28471296\"] \n  29 -> 34 [size =\"28471296\"]\n  29 -> 35 [size =\"28471296\"]\n  29 -> 36 [size =\"28471296\"]\n  29 -> 38 [size =\"28471296\"]\n  29 -> 40 [size =\"28471296\"]\n  29 -> 46 [size =\"28471296\"]\n  29 -> 47 [size =\"28471296\"]\n  29 -> 48 [size =\"28471296\"]\n  29 -> 49 [size =\"28471296\"]\n  30 [size=\"101462016\", alpha=\"0.12\", expect_size=\"50731008\"] \n  30 -> 38 [size =\"50731008\"]\n  30 -> 42 [size =\"50731008\"]\n  30 -> 44 [size =\"50731008\"]\n  30 -> 49 [size =\"50731008\"]\n  30 -> 50 [size =\"50731008\"]\n  31 [size=\"100061184\", alpha=\"0.18\", expect_size=\"50030592\"] \n  31 -> 36 [size =\"50030592\"]\n  31 -> 38 [size =\"50030592\"]\n  31 -> 46 [size =\"50030592\"]\n  31 -> 49 [size =\"50030592\"]\n  31 -> 50 [size =\"50030592\"]\n  32 [size=\"37242880\", alpha=\"0.08\", expect_size=\"18621440\"] \n  32 -> 38 [size =\"18621440\"]\n  32 -> 43 [size =\"18621440\"]\n  32 -> 50 [size =\"18621440\"]\n  33 [size=\"34469888\", alpha=\"0.19\", expect_size=\"17234944\"] \n  33 -> 38 [size =\"17234944\"]\n  33 -> 40 [size =\"17234944\"]\n  34 [size=\"85774336\", alpha=\"0.06\", expect_size=\"42887168\"] \n  35 [size=\"103702528\", alpha=\"0.12\", expect_size=\"51851264\"] \n  36 [size=\"58314752\", alpha=\"0.04\", expect_size=\"29157376\"] \n  37 [size=\"61001728\", alpha=\"0.19\", expect_size=\"30500864\"] \n  38 [size=\"49772544\", alpha=\"0.07\", expect_size=\"24886272\"] \n  39 [size=\"12734464\", alpha=\"0.17\", expect_size=\"6367232\"] \n  40 [size=\"75364352\", alpha=\"0.06\", expect_size=\"37682176\"] \n  41 [size=\"39292928\", alpha=\"0.04\", expect_size=\"19646464\"] \n  42 [size=\"29313024\", alpha=\"0.19\", expect_size=\"14656512\"] \n  43 [size=\"66484224\", alpha=\"0.04\", expect_size=\"33242112\"] \n  44 [size=\"61999104\", alpha=\"0.14\", expect_size=\"30999552\"] \n  45 [size=\"90212352\", alpha=\"0.17\", expect_size=\"45106176\"] \n  46 [size=\"54439936\", alpha=\"0.12\", expect_size=\"27219968\"] \n  47 [size=\"72448000\", alpha=\"0.14\", expect_size=\"36224000\"] \n  48 [size=\"67794944\", alpha=\"0.00\", expect_size=\"33897472\"] \n  49 [size=\"103047168\", alpha=\"0.17\", expect_size=\"51523584\"] \n  50 [size=\"89591808\", alpha=\"0.12\", expect_size=\"44795904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.639.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77992960\", alpha=\"0.15\", expect_size=\"31197184\"] \n  1 -> 8 [size =\"31197184\"]\n  1 -> 15 [size =\"31197184\"]\n  2 [size=\"60231680\", alpha=\"0.16\", expect_size=\"24092672\"] \n  2 -> 8 [size =\"24092672\"]\n  2 -> 9 [size =\"24092672\"]\n  2 -> 11 [size =\"24092672\"]\n  2 -> 14 [size =\"24092672\"]\n  2 -> 15 [size =\"24092672\"]\n  3 [size=\"32967680\", alpha=\"0.03\", expect_size=\"13187072\"] \n  3 -> 10 [size =\"13187072\"]\n  3 -> 11 [size =\"13187072\"]\n  3 -> 12 [size =\"13187072\"]\n  3 -> 14 [size =\"13187072\"]\n  3 -> 15 [size =\"13187072\"]\n  4 [size=\"38010880\", alpha=\"0.05\", expect_size=\"15204352\"] \n  4 -> 10 [size =\"15204352\"]\n  4 -> 11 [size =\"15204352\"]\n  5 [size=\"129873920\", alpha=\"0.18\", expect_size=\"51949568\"] \n  5 -> 10 [size =\"51949568\"]\n  5 -> 11 [size =\"51949568\"]\n  6 [size=\"27005440\", alpha=\"0.07\", expect_size=\"10802176\"] \n  6 -> 10 [size =\"10802176\"]\n  6 -> 11 [size =\"10802176\"]\n  6 -> 12 [size =\"10802176\"]\n  6 -> 13 [size =\"10802176\"]\n  6 -> 14 [size =\"10802176\"]\n  6 -> 15 [size =\"10802176\"]\n  7 [size=\"42608640\", alpha=\"0.12\", expect_size=\"17043456\"] \n  7 -> 13 [size =\"17043456\"]\n  8 [size=\"75130880\", alpha=\"0.07\", expect_size=\"30052352\"] \n  8 -> 16 [size =\"30052352\"]\n  8 -> 17 [size =\"30052352\"]\n  9 [size=\"45562880\", alpha=\"0.10\", expect_size=\"18225152\"] \n  9 -> 16 [size =\"18225152\"]\n  9 -> 20 [size =\"18225152\"]\n  10 [size=\"77114880\", alpha=\"0.17\", expect_size=\"30845952\"] \n  11 [size=\"127142400\", alpha=\"0.14\", expect_size=\"50856960\"] \n  11 -> 20 [size =\"50856960\"]\n  11 -> 21 [size =\"50856960\"]\n  12 [size=\"97152000\", alpha=\"0.14\", expect_size=\"38860800\"] \n  12 -> 16 [size =\"38860800\"]\n  12 -> 17 [size =\"38860800\"]\n  12 -> 20 [size =\"38860800\"]\n  12 -> 21 [size =\"38860800\"]\n  13 [size=\"72235520\", alpha=\"0.11\", expect_size=\"28894208\"] \n  13 -> 16 [size =\"28894208\"]\n  13 -> 17 [size =\"28894208\"]\n  13 -> 21 [size =\"28894208\"]\n  14 [size=\"87918080\", alpha=\"0.06\", expect_size=\"35167232\"] \n  14 -> 16 [size =\"35167232\"]\n  14 -> 17 [size =\"35167232\"]\n  14 -> 20 [size =\"35167232\"]\n  15 [size=\"118929920\", alpha=\"0.12\", expect_size=\"47571968\"] \n  15 -> 16 [size =\"47571968\"]\n  15 -> 17 [size =\"47571968\"]\n  15 -> 18 [size =\"47571968\"]\n  15 -> 19 [size =\"47571968\"]\n  16 [size=\"104256000\", alpha=\"0.18\", expect_size=\"41702400\"] \n  16 -> 22 [size =\"41702400\"]\n  16 -> 23 [size =\"41702400\"]\n  16 -> 24 [size =\"41702400\"]\n  16 -> 25 [size =\"41702400\"]\n  16 -> 26 [size =\"41702400\"]\n  17 [size=\"28021760\", alpha=\"0.00\", expect_size=\"11208704\"] \n  17 -> 25 [size =\"11208704\"]\n  18 [size=\"98803200\", alpha=\"0.15\", expect_size=\"39521280\"] \n  18 -> 23 [size =\"39521280\"]\n  18 -> 25 [size =\"39521280\"]\n  18 -> 26 [size =\"39521280\"]\n  19 [size=\"20584960\", alpha=\"0.19\", expect_size=\"8233984\"] \n  19 -> 22 [size =\"8233984\"]\n  19 -> 23 [size =\"8233984\"]\n  20 [size=\"81431040\", alpha=\"0.18\", expect_size=\"32572416\"] \n  20 -> 22 [size =\"32572416\"]\n  20 -> 25 [size =\"32572416\"]\n  20 -> 26 [size =\"32572416\"]\n  21 [size=\"61898240\", alpha=\"0.07\", expect_size=\"24759296\"] \n  21 -> 22 [size =\"24759296\"]\n  21 -> 25 [size =\"24759296\"]\n  21 -> 26 [size =\"24759296\"]\n  22 [size=\"28421120\", alpha=\"0.05\", expect_size=\"11368448\"] \n  22 -> 28 [size =\"11368448\"]\n  22 -> 29 [size =\"11368448\"]\n  22 -> 30 [size =\"11368448\"]\n  22 -> 31 [size =\"11368448\"]\n  23 [size=\"111142400\", alpha=\"0.06\", expect_size=\"44456960\"] \n  24 [size=\"57533440\", alpha=\"0.11\", expect_size=\"23013376\"] \n  24 -> 27 [size =\"23013376\"]\n  24 -> 28 [size =\"23013376\"]\n  24 -> 29 [size =\"23013376\"]\n  24 -> 30 [size =\"23013376\"]\n  24 -> 32 [size =\"23013376\"]\n  25 [size=\"90250240\", alpha=\"0.16\", expect_size=\"36100096\"] \n  25 -> 29 [size =\"36100096\"]\n  25 -> 30 [size =\"36100096\"]\n  25 -> 31 [size =\"36100096\"]\n  26 [size=\"43450880\", alpha=\"0.04\", expect_size=\"17380352\"] \n  26 -> 29 [size =\"17380352\"]\n  26 -> 30 [size =\"17380352\"]\n  26 -> 31 [size =\"17380352\"]\n  27 [size=\"29652480\", alpha=\"0.16\", expect_size=\"11860992\"] \n  27 -> 33 [size =\"11860992\"]\n  27 -> 35 [size =\"11860992\"]\n  28 [size=\"30492160\", alpha=\"0.19\", expect_size=\"12196864\"] \n  28 -> 34 [size =\"12196864\"]\n  28 -> 39 [size =\"12196864\"]\n  29 [size=\"120578560\", alpha=\"0.07\", expect_size=\"48231424\"] \n  29 -> 37 [size =\"48231424\"]\n  30 [size=\"116252160\", alpha=\"0.06\", expect_size=\"46500864\"] \n  30 -> 36 [size =\"46500864\"]\n  30 -> 37 [size =\"46500864\"]\n  30 -> 38 [size =\"46500864\"]\n  31 [size=\"103731200\", alpha=\"0.05\", expect_size=\"41492480\"] \n  31 -> 33 [size =\"41492480\"]\n  31 -> 36 [size =\"41492480\"]\n  31 -> 39 [size =\"41492480\"]\n  32 [size=\"29936640\", alpha=\"0.18\", expect_size=\"11974656\"] \n  32 -> 36 [size =\"11974656\"]\n  32 -> 39 [size =\"11974656\"]\n  33 [size=\"59960320\", alpha=\"0.01\", expect_size=\"23984128\"] \n  33 -> 43 [size =\"23984128\"]\n  34 [size=\"95697920\", alpha=\"0.16\", expect_size=\"38279168\"] \n  34 -> 42 [size =\"38279168\"]\n  34 -> 44 [size =\"38279168\"]\n  35 [size=\"44090880\", alpha=\"0.10\", expect_size=\"17636352\"] \n  35 -> 41 [size =\"17636352\"]\n  35 -> 44 [size =\"17636352\"]\n  36 [size=\"21900800\", alpha=\"0.18\", expect_size=\"8760320\"] \n  36 -> 45 [size =\"8760320\"]\n  37 [size=\"43036160\", alpha=\"0.10\", expect_size=\"17214464\"] \n  37 -> 40 [size =\"17214464\"]\n  37 -> 45 [size =\"17214464\"]\n  38 [size=\"19028480\", alpha=\"0.16\", expect_size=\"7611392\"] \n  38 -> 40 [size =\"7611392\"]\n  38 -> 45 [size =\"7611392\"]\n  39 [size=\"129873920\", alpha=\"0.03\", expect_size=\"51949568\"] \n  39 -> 40 [size =\"51949568\"]\n  39 -> 42 [size =\"51949568\"]\n  39 -> 44 [size =\"51949568\"]\n  40 [size=\"54131200\", alpha=\"0.02\", expect_size=\"21652480\"] \n  40 -> 50 [size =\"21652480\"]\n  41 [size=\"91740160\", alpha=\"0.09\", expect_size=\"36696064\"] \n  41 -> 47 [size =\"36696064\"]\n  41 -> 48 [size =\"36696064\"]\n  41 -> 49 [size =\"36696064\"]\n  42 [size=\"120806400\", alpha=\"0.19\", expect_size=\"48322560\"] \n  42 -> 49 [size =\"48322560\"]\n  42 -> 50 [size =\"48322560\"]\n  43 [size=\"107412480\", alpha=\"0.05\", expect_size=\"42964992\"] \n  43 -> 46 [size =\"42964992\"]\n  43 -> 47 [size =\"42964992\"]\n  43 -> 50 [size =\"42964992\"]\n  44 [size=\"110686720\", alpha=\"0.19\", expect_size=\"44274688\"] \n  44 -> 46 [size =\"44274688\"]\n  44 -> 47 [size =\"44274688\"]\n  45 [size=\"87475200\", alpha=\"0.06\", expect_size=\"34990080\"] \n  45 -> 46 [size =\"34990080\"]\n  45 -> 47 [size =\"34990080\"]\n  46 [size=\"25638400\", alpha=\"0.18\", expect_size=\"10255360\"] \n  47 [size=\"16322560\", alpha=\"0.13\", expect_size=\"6529024\"] \n  48 [size=\"74447360\", alpha=\"0.10\", expect_size=\"29778944\"] \n  49 [size=\"49776640\", alpha=\"0.06\", expect_size=\"19910656\"] \n  50 [size=\"67752960\", alpha=\"0.20\", expect_size=\"27101184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104366080\", alpha=\"0.16\", expect_size=\"31309824\"] \n  1 -> 5 [size =\"31309824\"]\n  2 [size=\"114312533\", alpha=\"0.04\", expect_size=\"34293760\"] \n  3 [size=\"32580267\", alpha=\"0.18\", expect_size=\"9774080\"] \n  3 -> 4 [size =\"9774080\"]\n  3 -> 5 [size =\"9774080\"]\n  3 -> 6 [size =\"9774080\"]\n  4 [size=\"60917760\", alpha=\"0.16\", expect_size=\"18275328\"] \n  4 -> 7 [size =\"18275328\"]\n  4 -> 9 [size =\"18275328\"]\n  5 [size=\"147630080\", alpha=\"0.07\", expect_size=\"44289024\"] \n  5 -> 7 [size =\"44289024\"]\n  6 [size=\"117944320\", alpha=\"0.10\", expect_size=\"35383296\"] \n  6 -> 8 [size =\"35383296\"]\n  7 [size=\"139001173\", alpha=\"0.08\", expect_size=\"41700352\"] \n  7 -> 13 [size =\"41700352\"]\n  8 [size=\"73349120\", alpha=\"0.15\", expect_size=\"22004736\"] \n  8 -> 10 [size =\"22004736\"]\n  8 -> 12 [size =\"22004736\"]\n  8 -> 13 [size =\"22004736\"]\n  9 [size=\"147698347\", alpha=\"0.15\", expect_size=\"44309504\"] \n  9 -> 11 [size =\"44309504\"]\n  10 [size=\"134427307\", alpha=\"0.18\", expect_size=\"40328192\"] \n  10 -> 14 [size =\"40328192\"]\n  11 [size=\"127255893\", alpha=\"0.06\", expect_size=\"38176768\"] \n  11 -> 14 [size =\"38176768\"]\n  12 [size=\"96187733\", alpha=\"0.18\", expect_size=\"28856320\"] \n  12 -> 15 [size =\"28856320\"]\n  13 [size=\"128942080\", alpha=\"0.02\", expect_size=\"38682624\"] \n  14 [size=\"115264853\", alpha=\"0.04\", expect_size=\"34579456\"] \n  14 -> 16 [size =\"34579456\"]\n  15 [size=\"81186133\", alpha=\"0.02\", expect_size=\"24355840\"] \n  16 [size=\"133509120\", alpha=\"0.19\", expect_size=\"40052736\"] \n  16 -> 17 [size =\"40052736\"]\n  16 -> 18 [size =\"40052736\"]\n  16 -> 19 [size =\"40052736\"]\n  16 -> 20 [size =\"40052736\"]\n  17 [size=\"56418987\", alpha=\"0.13\", expect_size=\"16925696\"] \n  17 -> 24 [size =\"16925696\"]\n  18 [size=\"120736427\", alpha=\"0.07\", expect_size=\"36220928\"] \n  18 -> 21 [size =\"36220928\"]\n  18 -> 22 [size =\"36220928\"]\n  19 [size=\"80575147\", alpha=\"0.05\", expect_size=\"24172544\"] \n  19 -> 21 [size =\"24172544\"]\n  20 [size=\"37369173\", alpha=\"0.18\", expect_size=\"11210752\"] \n  20 -> 22 [size =\"11210752\"]\n  20 -> 23 [size =\"11210752\"]\n  20 -> 24 [size =\"11210752\"]\n  21 [size=\"25507840\", alpha=\"0.02\", expect_size=\"7652352\"] \n  21 -> 26 [size =\"7652352\"]\n  22 [size=\"73850880\", alpha=\"0.18\", expect_size=\"22155264\"] \n  22 -> 25 [size =\"22155264\"]\n  22 -> 26 [size =\"22155264\"]\n  22 -> 27 [size =\"22155264\"]\n  23 [size=\"58501120\", alpha=\"0.16\", expect_size=\"17550336\"] \n  23 -> 27 [size =\"17550336\"]\n  24 [size=\"76503040\", alpha=\"0.20\", expect_size=\"22950912\"] \n  24 -> 25 [size =\"22950912\"]\n  24 -> 26 [size =\"22950912\"]\n  25 [size=\"109779627\", alpha=\"0.20\", expect_size=\"32933888\"] \n  26 [size=\"124296533\", alpha=\"0.13\", expect_size=\"37288960\"] \n  27 [size=\"116084053\", alpha=\"0.01\", expect_size=\"34825216\"] \n  27 -> 28 [size =\"34825216\"]\n  28 [size=\"60770987\", alpha=\"0.17\", expect_size=\"18231296\"] \n  28 -> 29 [size =\"18231296\"]\n  28 -> 30 [size =\"18231296\"]\n  29 [size=\"116797440\", alpha=\"0.09\", expect_size=\"35039232\"] \n  29 -> 32 [size =\"35039232\"]\n  30 [size=\"155187200\", alpha=\"0.16\", expect_size=\"46556160\"] \n  30 -> 31 [size =\"46556160\"]\n  31 [size=\"137338880\", alpha=\"0.17\", expect_size=\"41201664\"] \n  31 -> 34 [size =\"41201664\"]\n  32 [size=\"150142293\", alpha=\"0.08\", expect_size=\"45042688\"] \n  32 -> 33 [size =\"45042688\"]\n  33 [size=\"133150720\", alpha=\"0.13\", expect_size=\"39945216\"] \n  33 -> 36 [size =\"39945216\"]\n  33 -> 37 [size =\"39945216\"]\n  34 [size=\"101471573\", alpha=\"0.10\", expect_size=\"30441472\"] \n  34 -> 35 [size =\"30441472\"]\n  34 -> 38 [size =\"30441472\"]\n  35 [size=\"98542933\", alpha=\"0.16\", expect_size=\"29562880\"] \n  35 -> 39 [size =\"29562880\"]\n  35 -> 40 [size =\"29562880\"]\n  36 [size=\"97232213\", alpha=\"0.16\", expect_size=\"29169664\"] \n  37 [size=\"40727893\", alpha=\"0.02\", expect_size=\"12218368\"] \n  37 -> 41 [size =\"12218368\"]\n  38 [size=\"50554880\", alpha=\"0.00\", expect_size=\"15166464\"] \n  38 -> 40 [size =\"15166464\"]\n  38 -> 42 [size =\"15166464\"]\n  39 [size=\"25299627\", alpha=\"0.07\", expect_size=\"7589888\"] \n  40 [size=\"95187627\", alpha=\"0.16\", expect_size=\"28556288\"] \n  40 -> 44 [size =\"28556288\"]\n  41 [size=\"62597120\", alpha=\"0.06\", expect_size=\"18779136\"] \n  41 -> 43 [size =\"18779136\"]\n  41 -> 45 [size =\"18779136\"]\n  42 [size=\"37311147\", alpha=\"0.03\", expect_size=\"11193344\"] \n  42 -> 45 [size =\"11193344\"]\n  43 [size=\"98041173\", alpha=\"0.06\", expect_size=\"29412352\"] \n  44 [size=\"41683627\", alpha=\"0.15\", expect_size=\"12505088\"] \n  45 [size=\"123313493\", alpha=\"0.17\", expect_size=\"36994048\"] \n  45 -> 46 [size =\"36994048\"]\n  45 -> 47 [size =\"36994048\"]\n  46 [size=\"92071253\", alpha=\"0.12\", expect_size=\"27621376\"] \n  46 -> 48 [size =\"27621376\"]\n  46 -> 49 [size =\"27621376\"]\n  46 -> 50 [size =\"27621376\"]\n  47 [size=\"63993173\", alpha=\"0.00\", expect_size=\"19197952\"] \n  47 -> 50 [size =\"19197952\"]\n  48 [size=\"78018560\", alpha=\"0.14\", expect_size=\"23405568\"] \n  49 [size=\"80124587\", alpha=\"0.20\", expect_size=\"24037376\"] \n  50 [size=\"133410133\", alpha=\"0.03\", expect_size=\"40023040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.640.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29073920\", alpha=\"0.01\", expect_size=\"11629568\"] \n  1 -> 17 [size =\"11629568\"]\n  1 -> 28 [size =\"11629568\"]\n  2 [size=\"14758400\", alpha=\"0.01\", expect_size=\"5903360\"] \n  2 -> 17 [size =\"5903360\"]\n  2 -> 24 [size =\"5903360\"]\n  2 -> 27 [size =\"5903360\"]\n  3 [size=\"44326400\", alpha=\"0.06\", expect_size=\"17730560\"] \n  3 -> 17 [size =\"17730560\"]\n  3 -> 22 [size =\"17730560\"]\n  3 -> 24 [size =\"17730560\"]\n  3 -> 27 [size =\"17730560\"]\n  4 [size=\"118369280\", alpha=\"0.05\", expect_size=\"47347712\"] \n  4 -> 15 [size =\"47347712\"]\n  4 -> 17 [size =\"47347712\"]\n  4 -> 20 [size =\"47347712\"]\n  4 -> 23 [size =\"47347712\"]\n  4 -> 29 [size =\"47347712\"]\n  5 [size=\"130624000\", alpha=\"0.12\", expect_size=\"52249600\"] \n  5 -> 15 [size =\"52249600\"]\n  5 -> 17 [size =\"52249600\"]\n  5 -> 18 [size =\"52249600\"]\n  5 -> 21 [size =\"52249600\"]\n  5 -> 22 [size =\"52249600\"]\n  5 -> 24 [size =\"52249600\"]\n  6 [size=\"23331840\", alpha=\"0.09\", expect_size=\"9332736\"] \n  6 -> 16 [size =\"9332736\"]\n  6 -> 18 [size =\"9332736\"]\n  6 -> 20 [size =\"9332736\"]\n  6 -> 27 [size =\"9332736\"]\n  6 -> 28 [size =\"9332736\"]\n  6 -> 29 [size =\"9332736\"]\n  7 [size=\"105282560\", alpha=\"0.05\", expect_size=\"42113024\"] \n  7 -> 18 [size =\"42113024\"]\n  7 -> 19 [size =\"42113024\"]\n  7 -> 22 [size =\"42113024\"]\n  7 -> 23 [size =\"42113024\"]\n  7 -> 26 [size =\"42113024\"]\n  8 [size=\"49966080\", alpha=\"0.10\", expect_size=\"19986432\"] \n  8 -> 23 [size =\"19986432\"]\n  8 -> 24 [size =\"19986432\"]\n  9 [size=\"46735360\", alpha=\"0.10\", expect_size=\"18694144\"] \n  9 -> 18 [size =\"18694144\"]\n  9 -> 22 [size =\"18694144\"]\n  9 -> 23 [size =\"18694144\"]\n  10 [size=\"100221440\", alpha=\"0.11\", expect_size=\"40088576\"] \n  10 -> 16 [size =\"40088576\"]\n  10 -> 19 [size =\"40088576\"]\n  10 -> 20 [size =\"40088576\"]\n  10 -> 22 [size =\"40088576\"]\n  10 -> 23 [size =\"40088576\"]\n  10 -> 24 [size =\"40088576\"]\n  10 -> 26 [size =\"40088576\"]\n  11 [size=\"78824960\", alpha=\"0.14\", expect_size=\"31529984\"] \n  11 -> 18 [size =\"31529984\"]\n  11 -> 20 [size =\"31529984\"]\n  11 -> 22 [size =\"31529984\"]\n  11 -> 23 [size =\"31529984\"]\n  11 -> 24 [size =\"31529984\"]\n  12 [size=\"83545600\", alpha=\"0.07\", expect_size=\"33418240\"] \n  12 -> 15 [size =\"33418240\"]\n  12 -> 20 [size =\"33418240\"]\n  12 -> 21 [size =\"33418240\"]\n  12 -> 24 [size =\"33418240\"]\n  12 -> 28 [size =\"33418240\"]\n  12 -> 29 [size =\"33418240\"]\n  13 [size=\"89469440\", alpha=\"0.02\", expect_size=\"35787776\"] \n  13 -> 23 [size =\"35787776\"]\n  14 [size=\"123248640\", alpha=\"0.05\", expect_size=\"49299456\"] \n  14 -> 20 [size =\"49299456\"]\n  14 -> 25 [size =\"49299456\"]\n  14 -> 28 [size =\"49299456\"]\n  15 [size=\"36180480\", alpha=\"0.09\", expect_size=\"14472192\"] \n  15 -> 31 [size =\"14472192\"]\n  15 -> 32 [size =\"14472192\"]\n  15 -> 36 [size =\"14472192\"]\n  15 -> 37 [size =\"14472192\"]\n  16 [size=\"108853760\", alpha=\"0.02\", expect_size=\"43541504\"] \n  16 -> 32 [size =\"43541504\"]\n  16 -> 34 [size =\"43541504\"]\n  16 -> 35 [size =\"43541504\"]\n  16 -> 36 [size =\"43541504\"]\n  16 -> 37 [size =\"43541504\"]\n  16 -> 42 [size =\"43541504\"]\n  17 [size=\"41804800\", alpha=\"0.09\", expect_size=\"16721920\"] \n  17 -> 36 [size =\"16721920\"]\n  17 -> 38 [size =\"16721920\"]\n  17 -> 40 [size =\"16721920\"]\n  18 [size=\"69583360\", alpha=\"0.02\", expect_size=\"27833344\"] \n  18 -> 32 [size =\"27833344\"]\n  18 -> 33 [size =\"27833344\"]\n  18 -> 42 [size =\"27833344\"]\n  19 [size=\"129825280\", alpha=\"0.05\", expect_size=\"51930112\"] \n  19 -> 30 [size =\"51930112\"]\n  19 -> 32 [size =\"51930112\"]\n  19 -> 33 [size =\"51930112\"]\n  19 -> 34 [size =\"51930112\"]\n  19 -> 35 [size =\"51930112\"]\n  19 -> 36 [size =\"51930112\"]\n  19 -> 37 [size =\"51930112\"]\n  19 -> 42 [size =\"51930112\"]\n  20 [size=\"68846080\", alpha=\"0.20\", expect_size=\"27538432\"] \n  20 -> 33 [size =\"27538432\"]\n  20 -> 34 [size =\"27538432\"]\n  20 -> 35 [size =\"27538432\"]\n  20 -> 37 [size =\"27538432\"]\n  20 -> 40 [size =\"27538432\"]\n  20 -> 41 [size =\"27538432\"]\n  21 [size=\"13414400\", alpha=\"0.17\", expect_size=\"5365760\"] \n  21 -> 33 [size =\"5365760\"]\n  21 -> 34 [size =\"5365760\"]\n  21 -> 37 [size =\"5365760\"]\n  21 -> 37 [size =\"5365760\"]\n  22 [size=\"96107520\", alpha=\"0.15\", expect_size=\"38443008\"] \n  22 -> 34 [size =\"38443008\"]\n  22 -> 35 [size =\"38443008\"]\n  23 [size=\"20636160\", alpha=\"0.17\", expect_size=\"8254464\"] \n  23 -> 32 [size =\"8254464\"]\n  23 -> 36 [size =\"8254464\"]\n  23 -> 39 [size =\"8254464\"]\n  24 [size=\"30238720\", alpha=\"0.18\", expect_size=\"12095488\"] \n  24 -> 31 [size =\"12095488\"]\n  24 -> 32 [size =\"12095488\"]\n  24 -> 33 [size =\"12095488\"]\n  24 -> 34 [size =\"12095488\"]\n  24 -> 36 [size =\"12095488\"]\n  24 -> 39 [size =\"12095488\"]\n  24 -> 41 [size =\"12095488\"]\n  25 [size=\"57446400\", alpha=\"0.19\", expect_size=\"22978560\"] \n  25 -> 33 [size =\"22978560\"]\n  25 -> 38 [size =\"22978560\"]\n  25 -> 41 [size =\"22978560\"]\n  25 -> 42 [size =\"22978560\"]\n  26 [size=\"112619520\", alpha=\"0.01\", expect_size=\"45047808\"] \n  26 -> 33 [size =\"45047808\"]\n  26 -> 38 [size =\"45047808\"]\n  26 -> 41 [size =\"45047808\"]\n  27 [size=\"124346880\", alpha=\"0.19\", expect_size=\"49738752\"] \n  27 -> 34 [size =\"49738752\"]\n  27 -> 40 [size =\"49738752\"]\n  27 -> 41 [size =\"49738752\"]\n  28 [size=\"60218880\", alpha=\"0.03\", expect_size=\"24087552\"] \n  28 -> 32 [size =\"24087552\"]\n  28 -> 41 [size =\"24087552\"]\n  29 [size=\"74688000\", alpha=\"0.13\", expect_size=\"29875200\"] \n  29 -> 31 [size =\"29875200\"]\n  29 -> 36 [size =\"29875200\"]\n  29 -> 41 [size =\"29875200\"]\n  30 [size=\"106839040\", alpha=\"0.18\", expect_size=\"42735616\"] \n  30 -> 45 [size =\"42735616\"]\n  30 -> 47 [size =\"42735616\"]\n  30 -> 48 [size =\"42735616\"]\n  30 -> 50 [size =\"42735616\"]\n  31 [size=\"106572800\", alpha=\"0.13\", expect_size=\"42629120\"] \n  31 -> 46 [size =\"42629120\"]\n  32 [size=\"89858560\", alpha=\"0.01\", expect_size=\"35943424\"] \n  32 -> 43 [size =\"35943424\"]\n  33 [size=\"58344960\", alpha=\"0.02\", expect_size=\"23337984\"] \n  33 -> 43 [size =\"23337984\"]\n  33 -> 47 [size =\"23337984\"]\n  34 [size=\"43258880\", alpha=\"0.01\", expect_size=\"17303552\"] \n  34 -> 43 [size =\"17303552\"]\n  34 -> 48 [size =\"17303552\"]\n  34 -> 49 [size =\"17303552\"]\n  35 [size=\"31892480\", alpha=\"0.04\", expect_size=\"12756992\"] \n  35 -> 43 [size =\"12756992\"]\n  35 -> 44 [size =\"12756992\"]\n  35 -> 47 [size =\"12756992\"]\n  36 [size=\"23800320\", alpha=\"0.04\", expect_size=\"9520128\"] \n  36 -> 43 [size =\"9520128\"]\n  36 -> 45 [size =\"9520128\"]\n  37 [size=\"29207040\", alpha=\"0.08\", expect_size=\"11682816\"] \n  38 [size=\"22330880\", alpha=\"0.02\", expect_size=\"8932352\"] \n  38 -> 46 [size =\"8932352\"]\n  39 [size=\"40025600\", alpha=\"0.16\", expect_size=\"16010240\"] \n  39 -> 44 [size =\"16010240\"]\n  40 [size=\"115927040\", alpha=\"0.19\", expect_size=\"46370816\"] \n  40 -> 47 [size =\"46370816\"]\n  41 [size=\"101217280\", alpha=\"0.02\", expect_size=\"40486912\"] \n  41 -> 49 [size =\"40486912\"]\n  42 [size=\"61616640\", alpha=\"0.19\", expect_size=\"24646656\"] \n  42 -> 44 [size =\"24646656\"]\n  42 -> 49 [size =\"24646656\"]\n  43 [size=\"67566080\", alpha=\"0.18\", expect_size=\"27026432\"] \n  44 [size=\"77460480\", alpha=\"0.19\", expect_size=\"30984192\"] \n  45 [size=\"83481600\", alpha=\"0.08\", expect_size=\"33392640\"] \n  46 [size=\"108702720\", alpha=\"0.14\", expect_size=\"43481088\"] \n  47 [size=\"130903040\", alpha=\"0.19\", expect_size=\"52361216\"] \n  48 [size=\"60823040\", alpha=\"0.12\", expect_size=\"24329216\"] \n  49 [size=\"72896000\", alpha=\"0.15\", expect_size=\"29158400\"] \n  50 [size=\"47920640\", alpha=\"0.14\", expect_size=\"19168256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.641.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71133867\", alpha=\"0.18\", expect_size=\"21340160\"] \n  1 -> 2 [size =\"21340160\"]\n  2 [size=\"22050133\", alpha=\"0.12\", expect_size=\"6615040\"] \n  2 -> 3 [size =\"6615040\"]\n  3 [size=\"64826027\", alpha=\"0.10\", expect_size=\"19447808\"] \n  3 -> 4 [size =\"19447808\"]\n  4 [size=\"60252160\", alpha=\"0.14\", expect_size=\"18075648\"] \n  4 -> 5 [size =\"18075648\"]\n  5 [size=\"161044480\", alpha=\"0.11\", expect_size=\"48313344\"] \n  5 -> 6 [size =\"48313344\"]\n  6 [size=\"98017280\", alpha=\"0.01\", expect_size=\"29405184\"] \n  6 -> 7 [size =\"29405184\"]\n  7 [size=\"154770773\", alpha=\"0.16\", expect_size=\"46431232\"] \n  7 -> 8 [size =\"46431232\"]\n  8 [size=\"167301120\", alpha=\"0.11\", expect_size=\"50190336\"] \n  8 -> 9 [size =\"50190336\"]\n  9 [size=\"36399787\", alpha=\"0.10\", expect_size=\"10919936\"] \n  9 -> 10 [size =\"10919936\"]\n  10 [size=\"169745067\", alpha=\"0.04\", expect_size=\"50923520\"] \n  10 -> 11 [size =\"50923520\"]\n  11 [size=\"145981440\", alpha=\"0.03\", expect_size=\"43794432\"] \n  11 -> 12 [size =\"43794432\"]\n  12 [size=\"128276480\", alpha=\"0.14\", expect_size=\"38482944\"] \n  12 -> 13 [size =\"38482944\"]\n  13 [size=\"62248960\", alpha=\"0.17\", expect_size=\"18674688\"] \n  13 -> 14 [size =\"18674688\"]\n  14 [size=\"137700693\", alpha=\"0.16\", expect_size=\"41310208\"] \n  14 -> 15 [size =\"41310208\"]\n  15 [size=\"89292800\", alpha=\"0.18\", expect_size=\"26787840\"] \n  15 -> 16 [size =\"26787840\"]\n  16 [size=\"19551573\", alpha=\"0.04\", expect_size=\"5865472\"] \n  16 -> 17 [size =\"5865472\"]\n  17 [size=\"24753493\", alpha=\"0.15\", expect_size=\"7426048\"] \n  17 -> 18 [size =\"7426048\"]\n  18 [size=\"147322880\", alpha=\"0.09\", expect_size=\"44196864\"] \n  18 -> 19 [size =\"44196864\"]\n  19 [size=\"79697920\", alpha=\"0.03\", expect_size=\"23909376\"] \n  19 -> 20 [size =\"23909376\"]\n  20 [size=\"157231787\", alpha=\"0.06\", expect_size=\"47169536\"] \n  20 -> 21 [size =\"47169536\"]\n  21 [size=\"28446720\", alpha=\"0.16\", expect_size=\"8534016\"] \n  21 -> 22 [size =\"8534016\"]\n  22 [size=\"51391147\", alpha=\"0.07\", expect_size=\"15417344\"] \n  22 -> 23 [size =\"15417344\"]\n  23 [size=\"163051520\", alpha=\"0.03\", expect_size=\"48915456\"] \n  23 -> 24 [size =\"48915456\"]\n  24 [size=\"141062827\", alpha=\"0.05\", expect_size=\"42318848\"] \n  24 -> 25 [size =\"42318848\"]\n  25 [size=\"107854507\", alpha=\"0.05\", expect_size=\"32356352\"] \n  25 -> 26 [size =\"32356352\"]\n  26 [size=\"91777707\", alpha=\"0.16\", expect_size=\"27533312\"] \n  26 -> 27 [size =\"27533312\"]\n  27 [size=\"121801387\", alpha=\"0.04\", expect_size=\"36540416\"] \n  27 -> 28 [size =\"36540416\"]\n  28 [size=\"86056960\", alpha=\"0.11\", expect_size=\"25817088\"] \n  28 -> 29 [size =\"25817088\"]\n  29 [size=\"153323520\", alpha=\"0.20\", expect_size=\"45997056\"] \n  29 -> 30 [size =\"45997056\"]\n  30 [size=\"19988480\", alpha=\"0.09\", expect_size=\"5996544\"] \n  30 -> 31 [size =\"5996544\"]\n  31 [size=\"68239360\", alpha=\"0.14\", expect_size=\"20471808\"] \n  31 -> 32 [size =\"20471808\"]\n  32 [size=\"37164373\", alpha=\"0.13\", expect_size=\"11149312\"] \n  32 -> 33 [size =\"11149312\"]\n  33 [size=\"88623787\", alpha=\"0.18\", expect_size=\"26587136\"] \n  33 -> 34 [size =\"26587136\"]\n  34 [size=\"112680960\", alpha=\"0.18\", expect_size=\"33804288\"] \n  34 -> 35 [size =\"33804288\"]\n  35 [size=\"152115200\", alpha=\"0.07\", expect_size=\"45634560\"] \n  35 -> 36 [size =\"45634560\"]\n  36 [size=\"35925333\", alpha=\"0.17\", expect_size=\"10777600\"] \n  36 -> 37 [size =\"10777600\"]\n  37 [size=\"159221760\", alpha=\"0.07\", expect_size=\"47766528\"] \n  37 -> 38 [size =\"47766528\"]\n  38 [size=\"30163627\", alpha=\"0.14\", expect_size=\"9049088\"] \n  38 -> 39 [size =\"9049088\"]\n  39 [size=\"113141760\", alpha=\"0.09\", expect_size=\"33942528\"] \n  39 -> 40 [size =\"33942528\"]\n  40 [size=\"112520533\", alpha=\"0.02\", expect_size=\"33756160\"] \n  40 -> 41 [size =\"33756160\"]\n  41 [size=\"23272107\", alpha=\"0.16\", expect_size=\"6981632\"] \n  41 -> 42 [size =\"6981632\"]\n  42 [size=\"131198293\", alpha=\"0.14\", expect_size=\"39359488\"] \n  42 -> 43 [size =\"39359488\"]\n  43 [size=\"75240107\", alpha=\"0.11\", expect_size=\"22572032\"] \n  43 -> 44 [size =\"22572032\"]\n  44 [size=\"57456640\", alpha=\"0.04\", expect_size=\"17236992\"] \n  44 -> 45 [size =\"17236992\"]\n  45 [size=\"40789333\", alpha=\"0.08\", expect_size=\"12236800\"] \n  45 -> 46 [size =\"12236800\"]\n  46 [size=\"97061547\", alpha=\"0.01\", expect_size=\"29118464\"] \n  46 -> 47 [size =\"29118464\"]\n  47 [size=\"71065600\", alpha=\"0.08\", expect_size=\"21319680\"] \n  47 -> 48 [size =\"21319680\"]\n  48 [size=\"127361707\", alpha=\"0.04\", expect_size=\"38208512\"] \n  48 -> 49 [size =\"38208512\"]\n  49 [size=\"81233920\", alpha=\"0.16\", expect_size=\"24370176\"] \n  49 -> 50 [size =\"24370176\"]\n  50 [size=\"152186880\", alpha=\"0.09\", expect_size=\"45656064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.642.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43059200\", alpha=\"0.07\", expect_size=\"17223680\"] \n  1 -> 40 [size =\"17223680\"]\n  1 -> 44 [size =\"17223680\"]\n  1 -> 48 [size =\"17223680\"]\n  2 [size=\"18982400\", alpha=\"0.14\", expect_size=\"7592960\"] \n  2 -> 34 [size =\"7592960\"]\n  2 -> 37 [size =\"7592960\"]\n  2 -> 40 [size =\"7592960\"]\n  2 -> 43 [size =\"7592960\"]\n  2 -> 44 [size =\"7592960\"]\n  2 -> 45 [size =\"7592960\"]\n  3 [size=\"57448960\", alpha=\"0.06\", expect_size=\"22979584\"] \n  3 -> 37 [size =\"22979584\"]\n  3 -> 40 [size =\"22979584\"]\n  3 -> 40 [size =\"22979584\"]\n  3 -> 41 [size =\"22979584\"]\n  3 -> 42 [size =\"22979584\"]\n  3 -> 43 [size =\"22979584\"]\n  3 -> 44 [size =\"22979584\"]\n  3 -> 46 [size =\"22979584\"]\n  3 -> 50 [size =\"22979584\"]\n  4 [size=\"114854400\", alpha=\"0.02\", expect_size=\"45941760\"] \n  4 -> 34 [size =\"45941760\"]\n  4 -> 37 [size =\"45941760\"]\n  4 -> 44 [size =\"45941760\"]\n  4 -> 46 [size =\"45941760\"]\n  4 -> 48 [size =\"45941760\"]\n  4 -> 50 [size =\"45941760\"]\n  5 [size=\"25868800\", alpha=\"0.04\", expect_size=\"10347520\"] \n  5 -> 37 [size =\"10347520\"]\n  5 -> 37 [size =\"10347520\"]\n  5 -> 39 [size =\"10347520\"]\n  5 -> 40 [size =\"10347520\"]\n  5 -> 43 [size =\"10347520\"]\n  5 -> 44 [size =\"10347520\"]\n  5 -> 46 [size =\"10347520\"]\n  5 -> 48 [size =\"10347520\"]\n  5 -> 49 [size =\"10347520\"]\n  6 [size=\"46755840\", alpha=\"0.15\", expect_size=\"18702336\"] \n  6 -> 32 [size =\"18702336\"]\n  6 -> 36 [size =\"18702336\"]\n  6 -> 37 [size =\"18702336\"]\n  6 -> 39 [size =\"18702336\"]\n  6 -> 44 [size =\"18702336\"]\n  6 -> 45 [size =\"18702336\"]\n  6 -> 46 [size =\"18702336\"]\n  6 -> 48 [size =\"18702336\"]\n  7 [size=\"61542400\", alpha=\"0.02\", expect_size=\"24616960\"] \n  7 -> 32 [size =\"24616960\"]\n  7 -> 37 [size =\"24616960\"]\n  7 -> 37 [size =\"24616960\"]\n  7 -> 39 [size =\"24616960\"]\n  7 -> 40 [size =\"24616960\"]\n  7 -> 41 [size =\"24616960\"]\n  7 -> 43 [size =\"24616960\"]\n  7 -> 44 [size =\"24616960\"]\n  7 -> 45 [size =\"24616960\"]\n  7 -> 46 [size =\"24616960\"]\n  7 -> 48 [size =\"24616960\"]\n  8 [size=\"110886400\", alpha=\"0.14\", expect_size=\"44354560\"] \n  8 -> 31 [size =\"44354560\"]\n  8 -> 33 [size =\"44354560\"]\n  8 -> 37 [size =\"44354560\"]\n  8 -> 40 [size =\"44354560\"]\n  8 -> 40 [size =\"44354560\"]\n  8 -> 42 [size =\"44354560\"]\n  8 -> 44 [size =\"44354560\"]\n  8 -> 45 [size =\"44354560\"]\n  8 -> 46 [size =\"44354560\"]\n  8 -> 48 [size =\"44354560\"]\n  8 -> 50 [size =\"44354560\"]\n  9 [size=\"70955520\", alpha=\"0.03\", expect_size=\"28382208\"] \n  9 -> 31 [size =\"28382208\"]\n  9 -> 33 [size =\"28382208\"]\n  9 -> 37 [size =\"28382208\"]\n  9 -> 38 [size =\"28382208\"]\n  9 -> 40 [size =\"28382208\"]\n  9 -> 42 [size =\"28382208\"]\n  9 -> 43 [size =\"28382208\"]\n  9 -> 45 [size =\"28382208\"]\n  9 -> 47 [size =\"28382208\"]\n  9 -> 48 [size =\"28382208\"]\n  10 [size=\"117798400\", alpha=\"0.10\", expect_size=\"47119360\"] \n  10 -> 31 [size =\"47119360\"]\n  10 -> 33 [size =\"47119360\"]\n  10 -> 34 [size =\"47119360\"]\n  10 -> 36 [size =\"47119360\"]\n  10 -> 37 [size =\"47119360\"]\n  10 -> 42 [size =\"47119360\"]\n  10 -> 44 [size =\"47119360\"]\n  10 -> 45 [size =\"47119360\"]\n  10 -> 47 [size =\"47119360\"]\n  11 [size=\"85271040\", alpha=\"0.02\", expect_size=\"34108416\"] \n  11 -> 31 [size =\"34108416\"]\n  11 -> 32 [size =\"34108416\"]\n  11 -> 36 [size =\"34108416\"]\n  11 -> 39 [size =\"34108416\"]\n  11 -> 42 [size =\"34108416\"]\n  11 -> 44 [size =\"34108416\"]\n  11 -> 45 [size =\"34108416\"]\n  11 -> 45 [size =\"34108416\"]\n  11 -> 46 [size =\"34108416\"]\n  12 [size=\"128622080\", alpha=\"0.12\", expect_size=\"51448832\"] \n  12 -> 31 [size =\"51448832\"]\n  12 -> 32 [size =\"51448832\"]\n  12 -> 35 [size =\"51448832\"]\n  12 -> 36 [size =\"51448832\"]\n  12 -> 41 [size =\"51448832\"]\n  12 -> 45 [size =\"51448832\"]\n  12 -> 45 [size =\"51448832\"]\n  12 -> 46 [size =\"51448832\"]\n  12 -> 48 [size =\"51448832\"]\n  13 [size=\"91983360\", alpha=\"0.20\", expect_size=\"36793344\"] \n  13 -> 31 [size =\"36793344\"]\n  13 -> 37 [size =\"36793344\"]\n  13 -> 41 [size =\"36793344\"]\n  13 -> 44 [size =\"36793344\"]\n  13 -> 45 [size =\"36793344\"]\n  13 -> 45 [size =\"36793344\"]\n  13 -> 48 [size =\"36793344\"]\n  14 [size=\"127016960\", alpha=\"0.17\", expect_size=\"50806784\"] \n  14 -> 31 [size =\"50806784\"]\n  14 -> 34 [size =\"50806784\"]\n  14 -> 35 [size =\"50806784\"]\n  14 -> 36 [size =\"50806784\"]\n  14 -> 37 [size =\"50806784\"]\n  14 -> 39 [size =\"50806784\"]\n  14 -> 42 [size =\"50806784\"]\n  14 -> 43 [size =\"50806784\"]\n  14 -> 44 [size =\"50806784\"]\n  14 -> 45 [size =\"50806784\"]\n  14 -> 46 [size =\"50806784\"]\n  14 -> 50 [size =\"50806784\"]\n  15 [size=\"20008960\", alpha=\"0.09\", expect_size=\"8003584\"] \n  15 -> 31 [size =\"8003584\"]\n  15 -> 34 [size =\"8003584\"]\n  15 -> 36 [size =\"8003584\"]\n  15 -> 37 [size =\"8003584\"]\n  15 -> 38 [size =\"8003584\"]\n  15 -> 44 [size =\"8003584\"]\n  15 -> 46 [size =\"8003584\"]\n  15 -> 47 [size =\"8003584\"]\n  15 -> 48 [size =\"8003584\"]\n  16 [size=\"45368320\", alpha=\"0.07\", expect_size=\"18147328\"] \n  16 -> 31 [size =\"18147328\"]\n  16 -> 37 [size =\"18147328\"]\n  16 -> 38 [size =\"18147328\"]\n  16 -> 40 [size =\"18147328\"]\n  16 -> 43 [size =\"18147328\"]\n  16 -> 44 [size =\"18147328\"]\n  16 -> 45 [size =\"18147328\"]\n  16 -> 46 [size =\"18147328\"]\n  16 -> 49 [size =\"18147328\"]\n  17 [size=\"130892800\", alpha=\"0.20\", expect_size=\"52357120\"] \n  17 -> 31 [size =\"52357120\"]\n  17 -> 32 [size =\"52357120\"]\n  17 -> 38 [size =\"52357120\"]\n  17 -> 40 [size =\"52357120\"]\n  17 -> 45 [size =\"52357120\"]\n  17 -> 46 [size =\"52357120\"]\n  17 -> 47 [size =\"52357120\"]\n  18 [size=\"22604800\", alpha=\"0.02\", expect_size=\"9041920\"] \n  18 -> 31 [size =\"9041920\"]\n  18 -> 33 [size =\"9041920\"]\n  18 -> 35 [size =\"9041920\"]\n  18 -> 36 [size =\"9041920\"]\n  18 -> 38 [size =\"9041920\"]\n  18 -> 42 [size =\"9041920\"]\n  18 -> 45 [size =\"9041920\"]\n  18 -> 46 [size =\"9041920\"]\n  18 -> 49 [size =\"9041920\"]\n  19 [size=\"107202560\", alpha=\"0.08\", expect_size=\"42881024\"] \n  19 -> 31 [size =\"42881024\"]\n  19 -> 42 [size =\"42881024\"]\n  19 -> 44 [size =\"42881024\"]\n  19 -> 46 [size =\"42881024\"]\n  20 [size=\"123752960\", alpha=\"0.07\", expect_size=\"49501184\"] \n  20 -> 36 [size =\"49501184\"]\n  20 -> 37 [size =\"49501184\"]\n  20 -> 39 [size =\"49501184\"]\n  20 -> 42 [size =\"49501184\"]\n  20 -> 45 [size =\"49501184\"]\n  20 -> 46 [size =\"49501184\"]\n  21 [size=\"67637760\", alpha=\"0.10\", expect_size=\"27055104\"] \n  21 -> 31 [size =\"27055104\"]\n  21 -> 32 [size =\"27055104\"]\n  21 -> 35 [size =\"27055104\"]\n  21 -> 37 [size =\"27055104\"]\n  21 -> 44 [size =\"27055104\"]\n  21 -> 48 [size =\"27055104\"]\n  21 -> 50 [size =\"27055104\"]\n  22 [size=\"81779200\", alpha=\"0.15\", expect_size=\"32711680\"] \n  22 -> 31 [size =\"32711680\"]\n  22 -> 37 [size =\"32711680\"]\n  22 -> 39 [size =\"32711680\"]\n  22 -> 42 [size =\"32711680\"]\n  22 -> 43 [size =\"32711680\"]\n  22 -> 47 [size =\"32711680\"]\n  23 [size=\"34570240\", alpha=\"0.07\", expect_size=\"13828096\"] \n  23 -> 31 [size =\"13828096\"]\n  23 -> 34 [size =\"13828096\"]\n  23 -> 35 [size =\"13828096\"]\n  23 -> 38 [size =\"13828096\"]\n  23 -> 40 [size =\"13828096\"]\n  23 -> 45 [size =\"13828096\"]\n  23 -> 50 [size =\"13828096\"]\n  24 [size=\"32642560\", alpha=\"0.17\", expect_size=\"13057024\"] \n  24 -> 31 [size =\"13057024\"]\n  24 -> 34 [size =\"13057024\"]\n  24 -> 35 [size =\"13057024\"]\n  24 -> 36 [size =\"13057024\"]\n  24 -> 37 [size =\"13057024\"]\n  24 -> 38 [size =\"13057024\"]\n  24 -> 50 [size =\"13057024\"]\n  25 [size=\"17218560\", alpha=\"0.08\", expect_size=\"6887424\"] \n  25 -> 31 [size =\"6887424\"]\n  26 [size=\"71774720\", alpha=\"0.06\", expect_size=\"28709888\"] \n  26 -> 31 [size =\"28709888\"]\n  26 -> 34 [size =\"28709888\"]\n  26 -> 35 [size =\"28709888\"]\n  26 -> 40 [size =\"28709888\"]\n  26 -> 42 [size =\"28709888\"]\n  26 -> 45 [size =\"28709888\"]\n  26 -> 46 [size =\"28709888\"]\n  26 -> 50 [size =\"28709888\"]\n  27 [size=\"112230400\", alpha=\"0.11\", expect_size=\"44892160\"] \n  27 -> 31 [size =\"44892160\"]\n  27 -> 36 [size =\"44892160\"]\n  27 -> 37 [size =\"44892160\"]\n  27 -> 41 [size =\"44892160\"]\n  27 -> 42 [size =\"44892160\"]\n  27 -> 44 [size =\"44892160\"]\n  27 -> 47 [size =\"44892160\"]\n  27 -> 48 [size =\"44892160\"]\n  27 -> 50 [size =\"44892160\"]\n  28 [size=\"110036480\", alpha=\"0.13\", expect_size=\"44014592\"] \n  28 -> 31 [size =\"44014592\"]\n  28 -> 32 [size =\"44014592\"]\n  28 -> 37 [size =\"44014592\"]\n  28 -> 42 [size =\"44014592\"]\n  28 -> 44 [size =\"44014592\"]\n  28 -> 45 [size =\"44014592\"]\n  28 -> 48 [size =\"44014592\"]\n  29 [size=\"124569600\", alpha=\"0.05\", expect_size=\"49827840\"] \n  29 -> 31 [size =\"49827840\"]\n  29 -> 32 [size =\"49827840\"]\n  29 -> 36 [size =\"49827840\"]\n  29 -> 38 [size =\"49827840\"]\n  29 -> 40 [size =\"49827840\"]\n  29 -> 42 [size =\"49827840\"]\n  29 -> 49 [size =\"49827840\"]\n  30 [size=\"53964800\", alpha=\"0.15\", expect_size=\"21585920\"] \n  30 -> 33 [size =\"21585920\"]\n  30 -> 34 [size =\"21585920\"]\n  30 -> 35 [size =\"21585920\"]\n  30 -> 40 [size =\"21585920\"]\n  30 -> 44 [size =\"21585920\"]\n  31 [size=\"93035520\", alpha=\"0.17\", expect_size=\"37214208\"] \n  32 [size=\"35806720\", alpha=\"0.18\", expect_size=\"14322688\"] \n  33 [size=\"124085760\", alpha=\"0.13\", expect_size=\"49634304\"] \n  34 [size=\"48325120\", alpha=\"0.07\", expect_size=\"19330048\"] \n  35 [size=\"28231680\", alpha=\"0.02\", expect_size=\"11292672\"] \n  36 [size=\"76574720\", alpha=\"0.03\", expect_size=\"30629888\"] \n  37 [size=\"109035520\", alpha=\"0.04\", expect_size=\"43614208\"] \n  38 [size=\"56087040\", alpha=\"0.06\", expect_size=\"22434816\"] \n  39 [size=\"15513600\", alpha=\"0.05\", expect_size=\"6205440\"] \n  40 [size=\"45163520\", alpha=\"0.02\", expect_size=\"18065408\"] \n  41 [size=\"13798400\", alpha=\"0.08\", expect_size=\"5519360\"] \n  42 [size=\"111552000\", alpha=\"0.06\", expect_size=\"44620800\"] \n  43 [size=\"100042240\", alpha=\"0.08\", expect_size=\"40016896\"] \n  44 [size=\"58147840\", alpha=\"0.13\", expect_size=\"23259136\"] \n  45 [size=\"99783680\", alpha=\"0.18\", expect_size=\"39913472\"] \n  46 [size=\"113884160\", alpha=\"0.14\", expect_size=\"45553664\"] \n  47 [size=\"14748160\", alpha=\"0.06\", expect_size=\"5899264\"] \n  48 [size=\"38126080\", alpha=\"0.15\", expect_size=\"15250432\"] \n  49 [size=\"75555840\", alpha=\"0.03\", expect_size=\"30222336\"] \n  50 [size=\"103162880\", alpha=\"0.17\", expect_size=\"41265152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.643.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68067328\", alpha=\"0.08\", expect_size=\"34033664\"] \n  2 [size=\"27529216\", alpha=\"0.11\", expect_size=\"13764608\"] \n  2 -> 4 [size =\"13764608\"]\n  3 [size=\"27076608\", alpha=\"0.12\", expect_size=\"13538304\"] \n  3 -> 4 [size =\"13538304\"]\n  4 [size=\"61267968\", alpha=\"0.16\", expect_size=\"30633984\"] \n  4 -> 5 [size =\"30633984\"]\n  4 -> 6 [size =\"30633984\"]\n  5 [size=\"60813312\", alpha=\"0.02\", expect_size=\"30406656\"] \n  5 -> 7 [size =\"30406656\"]\n  5 -> 8 [size =\"30406656\"]\n  6 [size=\"12806144\", alpha=\"0.08\", expect_size=\"6403072\"] \n  6 -> 7 [size =\"6403072\"]\n  7 [size=\"78067712\", alpha=\"0.12\", expect_size=\"39033856\"] \n  7 -> 9 [size =\"39033856\"]\n  7 -> 10 [size =\"39033856\"]\n  8 [size=\"87275520\", alpha=\"0.14\", expect_size=\"43637760\"] \n  8 -> 9 [size =\"43637760\"]\n  8 -> 10 [size =\"43637760\"]\n  9 [size=\"70381568\", alpha=\"0.05\", expect_size=\"35190784\"] \n  9 -> 11 [size =\"35190784\"]\n  9 -> 13 [size =\"35190784\"]\n  9 -> 14 [size =\"35190784\"]\n  10 [size=\"29208576\", alpha=\"0.15\", expect_size=\"14604288\"] \n  10 -> 11 [size =\"14604288\"]\n  10 -> 12 [size =\"14604288\"]\n  10 -> 13 [size =\"14604288\"]\n  10 -> 14 [size =\"14604288\"]\n  11 [size=\"36841472\", alpha=\"0.19\", expect_size=\"18420736\"] \n  11 -> 15 [size =\"18420736\"]\n  12 [size=\"76589056\", alpha=\"0.05\", expect_size=\"38294528\"] \n  13 [size=\"32057344\", alpha=\"0.04\", expect_size=\"16028672\"] \n  14 [size=\"86833152\", alpha=\"0.07\", expect_size=\"43416576\"] \n  14 -> 16 [size =\"43416576\"]\n  15 [size=\"69670912\", alpha=\"0.15\", expect_size=\"34835456\"] \n  15 -> 17 [size =\"34835456\"]\n  15 -> 18 [size =\"34835456\"]\n  16 [size=\"79108096\", alpha=\"0.03\", expect_size=\"39554048\"] \n  16 -> 17 [size =\"39554048\"]\n  17 [size=\"24246272\", alpha=\"0.06\", expect_size=\"12123136\"] \n  18 [size=\"82587648\", alpha=\"0.09\", expect_size=\"41293824\"] \n  18 -> 19 [size =\"41293824\"]\n  18 -> 20 [size =\"41293824\"]\n  19 [size=\"54276096\", alpha=\"0.17\", expect_size=\"27138048\"] \n  20 [size=\"78141440\", alpha=\"0.10\", expect_size=\"39070720\"] \n  20 -> 21 [size =\"39070720\"]\n  21 [size=\"54120448\", alpha=\"0.16\", expect_size=\"27060224\"] \n  21 -> 22 [size =\"27060224\"]\n  21 -> 23 [size =\"27060224\"]\n  22 [size=\"47235072\", alpha=\"0.05\", expect_size=\"23617536\"] \n  22 -> 24 [size =\"23617536\"]\n  22 -> 25 [size =\"23617536\"]\n  22 -> 26 [size =\"23617536\"]\n  23 [size=\"71710720\", alpha=\"0.18\", expect_size=\"35855360\"] \n  23 -> 24 [size =\"35855360\"]\n  23 -> 25 [size =\"35855360\"]\n  23 -> 26 [size =\"35855360\"]\n  24 [size=\"89997312\", alpha=\"0.01\", expect_size=\"44998656\"] \n  24 -> 27 [size =\"44998656\"]\n  25 [size=\"30140416\", alpha=\"0.15\", expect_size=\"15070208\"] \n  25 -> 29 [size =\"15070208\"]\n  26 [size=\"100147200\", alpha=\"0.10\", expect_size=\"50073600\"] \n  26 -> 28 [size =\"50073600\"]\n  26 -> 29 [size =\"50073600\"]\n  27 [size=\"22190080\", alpha=\"0.19\", expect_size=\"11095040\"] \n  27 -> 30 [size =\"11095040\"]\n  27 -> 31 [size =\"11095040\"]\n  28 [size=\"50294784\", alpha=\"0.04\", expect_size=\"25147392\"] \n  28 -> 30 [size =\"25147392\"]\n  28 -> 31 [size =\"25147392\"]\n  29 [size=\"91697152\", alpha=\"0.02\", expect_size=\"45848576\"] \n  29 -> 30 [size =\"45848576\"]\n  29 -> 31 [size =\"45848576\"]\n  30 [size=\"77756416\", alpha=\"0.04\", expect_size=\"38878208\"] \n  30 -> 32 [size =\"38878208\"]\n  31 [size=\"32468992\", alpha=\"0.11\", expect_size=\"16234496\"] \n  31 -> 32 [size =\"16234496\"]\n  32 [size=\"13414400\", alpha=\"0.13\", expect_size=\"6707200\"] \n  32 -> 33 [size =\"6707200\"]\n  33 [size=\"37640192\", alpha=\"0.19\", expect_size=\"18820096\"] \n  33 -> 34 [size =\"18820096\"]\n  34 [size=\"27365376\", alpha=\"0.01\", expect_size=\"13682688\"] \n  34 -> 35 [size =\"13682688\"]\n  34 -> 36 [size =\"13682688\"]\n  34 -> 37 [size =\"13682688\"]\n  35 [size=\"33374208\", alpha=\"0.16\", expect_size=\"16687104\"] \n  35 -> 38 [size =\"16687104\"]\n  35 -> 39 [size =\"16687104\"]\n  36 [size=\"11622400\", alpha=\"0.05\", expect_size=\"5811200\"] \n  36 -> 38 [size =\"5811200\"]\n  36 -> 39 [size =\"5811200\"]\n  37 [size=\"58802176\", alpha=\"0.17\", expect_size=\"29401088\"] \n  37 -> 38 [size =\"29401088\"]\n  37 -> 39 [size =\"29401088\"]\n  38 [size=\"53757952\", alpha=\"0.05\", expect_size=\"26878976\"] \n  38 -> 40 [size =\"26878976\"]\n  38 -> 42 [size =\"26878976\"]\n  39 [size=\"73273344\", alpha=\"0.02\", expect_size=\"36636672\"] \n  39 -> 41 [size =\"36636672\"]\n  39 -> 42 [size =\"36636672\"]\n  40 [size=\"82878464\", alpha=\"0.13\", expect_size=\"41439232\"] \n  40 -> 43 [size =\"41439232\"]\n  40 -> 44 [size =\"41439232\"]\n  41 [size=\"101294080\", alpha=\"0.13\", expect_size=\"50647040\"] \n  41 -> 44 [size =\"50647040\"]\n  41 -> 45 [size =\"50647040\"]\n  42 [size=\"60504064\", alpha=\"0.01\", expect_size=\"30252032\"] \n  42 -> 44 [size =\"30252032\"]\n  42 -> 45 [size =\"30252032\"]\n  43 [size=\"26615808\", alpha=\"0.02\", expect_size=\"13307904\"] \n  43 -> 46 [size =\"13307904\"]\n  43 -> 47 [size =\"13307904\"]\n  44 [size=\"21198848\", alpha=\"0.00\", expect_size=\"10599424\"] \n  44 -> 47 [size =\"10599424\"]\n  45 [size=\"26232832\", alpha=\"0.03\", expect_size=\"13116416\"] \n  45 -> 46 [size =\"13116416\"]\n  45 -> 47 [size =\"13116416\"]\n  46 [size=\"100902912\", alpha=\"0.04\", expect_size=\"50451456\"] \n  46 -> 48 [size =\"50451456\"]\n  46 -> 49 [size =\"50451456\"]\n  47 [size=\"30715904\", alpha=\"0.07\", expect_size=\"15357952\"] \n  47 -> 49 [size =\"15357952\"]\n  48 [size=\"18176000\", alpha=\"0.19\", expect_size=\"9088000\"] \n  48 -> 50 [size =\"9088000\"]\n  49 [size=\"41017344\", alpha=\"0.09\", expect_size=\"20508672\"] \n  49 -> 50 [size =\"20508672\"]\n  50 [size=\"48658432\", alpha=\"0.12\", expect_size=\"24329216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.644.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14702592\", alpha=\"0.18\", expect_size=\"7351296\"] \n  1 -> 2 [size =\"7351296\"]\n  2 [size=\"100769792\", alpha=\"0.09\", expect_size=\"50384896\"] \n  2 -> 3 [size =\"50384896\"]\n  3 [size=\"68335616\", alpha=\"0.01\", expect_size=\"34167808\"] \n  3 -> 4 [size =\"34167808\"]\n  4 [size=\"24557568\", alpha=\"0.09\", expect_size=\"12278784\"] \n  4 -> 5 [size =\"12278784\"]\n  5 [size=\"58335232\", alpha=\"0.07\", expect_size=\"29167616\"] \n  5 -> 6 [size =\"29167616\"]\n  6 [size=\"80883712\", alpha=\"0.14\", expect_size=\"40441856\"] \n  6 -> 7 [size =\"40441856\"]\n  7 [size=\"96825344\", alpha=\"0.12\", expect_size=\"48412672\"] \n  7 -> 8 [size =\"48412672\"]\n  8 [size=\"40065024\", alpha=\"0.11\", expect_size=\"20032512\"] \n  8 -> 9 [size =\"20032512\"]\n  9 [size=\"77611008\", alpha=\"0.02\", expect_size=\"38805504\"] \n  9 -> 10 [size =\"38805504\"]\n  10 [size=\"62490624\", alpha=\"0.10\", expect_size=\"31245312\"] \n  10 -> 11 [size =\"31245312\"]\n  11 [size=\"15820800\", alpha=\"0.13\", expect_size=\"7910400\"] \n  11 -> 12 [size =\"7910400\"]\n  12 [size=\"98480128\", alpha=\"0.02\", expect_size=\"49240064\"] \n  12 -> 13 [size =\"49240064\"]\n  13 [size=\"46981120\", alpha=\"0.18\", expect_size=\"23490560\"] \n  13 -> 14 [size =\"23490560\"]\n  14 [size=\"50434048\", alpha=\"0.18\", expect_size=\"25217024\"] \n  14 -> 15 [size =\"25217024\"]\n  15 [size=\"93571072\", alpha=\"0.08\", expect_size=\"46785536\"] \n  15 -> 16 [size =\"46785536\"]\n  16 [size=\"32008192\", alpha=\"0.02\", expect_size=\"16004096\"] \n  16 -> 17 [size =\"16004096\"]\n  17 [size=\"95991808\", alpha=\"0.07\", expect_size=\"47995904\"] \n  17 -> 18 [size =\"47995904\"]\n  18 [size=\"59607040\", alpha=\"0.10\", expect_size=\"29803520\"] \n  18 -> 19 [size =\"29803520\"]\n  19 [size=\"19124224\", alpha=\"0.17\", expect_size=\"9562112\"] \n  19 -> 20 [size =\"9562112\"]\n  20 [size=\"29915136\", alpha=\"0.07\", expect_size=\"14957568\"] \n  20 -> 21 [size =\"14957568\"]\n  21 [size=\"78491648\", alpha=\"0.18\", expect_size=\"39245824\"] \n  21 -> 22 [size =\"39245824\"]\n  22 [size=\"43857920\", alpha=\"0.08\", expect_size=\"21928960\"] \n  22 -> 23 [size =\"21928960\"]\n  23 [size=\"51988480\", alpha=\"0.10\", expect_size=\"25994240\"] \n  23 -> 24 [size =\"25994240\"]\n  24 [size=\"42041344\", alpha=\"0.15\", expect_size=\"21020672\"] \n  24 -> 25 [size =\"21020672\"]\n  25 [size=\"30418944\", alpha=\"0.11\", expect_size=\"15209472\"] \n  25 -> 26 [size =\"15209472\"]\n  26 [size=\"69632000\", alpha=\"0.01\", expect_size=\"34816000\"] \n  26 -> 27 [size =\"34816000\"]\n  27 [size=\"81090560\", alpha=\"0.10\", expect_size=\"40545280\"] \n  27 -> 28 [size =\"40545280\"]\n  28 [size=\"21860352\", alpha=\"0.05\", expect_size=\"10930176\"] \n  28 -> 29 [size =\"10930176\"]\n  29 [size=\"70287360\", alpha=\"0.14\", expect_size=\"35143680\"] \n  29 -> 30 [size =\"35143680\"]\n  30 [size=\"56627200\", alpha=\"0.14\", expect_size=\"28313600\"] \n  30 -> 31 [size =\"28313600\"]\n  31 [size=\"90009600\", alpha=\"0.15\", expect_size=\"45004800\"] \n  31 -> 32 [size =\"45004800\"]\n  32 [size=\"80275456\", alpha=\"0.15\", expect_size=\"40137728\"] \n  32 -> 33 [size =\"40137728\"]\n  33 [size=\"23343104\", alpha=\"0.03\", expect_size=\"11671552\"] \n  33 -> 34 [size =\"11671552\"]\n  34 [size=\"71432192\", alpha=\"0.19\", expect_size=\"35716096\"] \n  34 -> 35 [size =\"35716096\"]\n  35 [size=\"49872896\", alpha=\"0.12\", expect_size=\"24936448\"] \n  35 -> 36 [size =\"24936448\"]\n  36 [size=\"100884480\", alpha=\"0.11\", expect_size=\"50442240\"] \n  36 -> 37 [size =\"50442240\"]\n  37 [size=\"11755520\", alpha=\"0.07\", expect_size=\"5877760\"] \n  37 -> 38 [size =\"5877760\"]\n  38 [size=\"57567232\", alpha=\"0.14\", expect_size=\"28783616\"] \n  38 -> 39 [size =\"28783616\"]\n  39 [size=\"79157248\", alpha=\"0.02\", expect_size=\"39578624\"] \n  39 -> 40 [size =\"39578624\"]\n  40 [size=\"49278976\", alpha=\"0.15\", expect_size=\"24639488\"] \n  40 -> 41 [size =\"24639488\"]\n  41 [size=\"19943424\", alpha=\"0.02\", expect_size=\"9971712\"] \n  41 -> 42 [size =\"9971712\"]\n  42 [size=\"90853376\", alpha=\"0.17\", expect_size=\"45426688\"] \n  42 -> 43 [size =\"45426688\"]\n  43 [size=\"66889728\", alpha=\"0.20\", expect_size=\"33444864\"] \n  43 -> 44 [size =\"33444864\"]\n  44 [size=\"78923776\", alpha=\"0.09\", expect_size=\"39461888\"] \n  44 -> 45 [size =\"39461888\"]\n  45 [size=\"72527872\", alpha=\"0.03\", expect_size=\"36263936\"] \n  45 -> 46 [size =\"36263936\"]\n  46 [size=\"36421632\", alpha=\"0.10\", expect_size=\"18210816\"] \n  46 -> 47 [size =\"18210816\"]\n  47 [size=\"86497280\", alpha=\"0.11\", expect_size=\"43248640\"] \n  47 -> 48 [size =\"43248640\"]\n  48 [size=\"25147392\", alpha=\"0.15\", expect_size=\"12573696\"] \n  48 -> 49 [size =\"12573696\"]\n  49 [size=\"90238976\", alpha=\"0.12\", expect_size=\"45119488\"] \n  49 -> 50 [size =\"45119488\"]\n  50 [size=\"101668864\", alpha=\"0.18\", expect_size=\"50834432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.645.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17350656\", alpha=\"0.20\", expect_size=\"8675328\"] \n  1 -> 38 [size =\"8675328\"]\n  2 [size=\"46190592\", alpha=\"0.19\", expect_size=\"23095296\"] \n  2 -> 34 [size =\"23095296\"]\n  2 -> 40 [size =\"23095296\"]\n  2 -> 47 [size =\"23095296\"]\n  3 [size=\"77795328\", alpha=\"0.07\", expect_size=\"38897664\"] \n  3 -> 38 [size =\"38897664\"]\n  3 -> 44 [size =\"38897664\"]\n  4 [size=\"89690112\", alpha=\"0.18\", expect_size=\"44845056\"] \n  4 -> 34 [size =\"44845056\"]\n  4 -> 42 [size =\"44845056\"]\n  4 -> 48 [size =\"44845056\"]\n  5 [size=\"63752192\", alpha=\"0.16\", expect_size=\"31876096\"] \n  5 -> 35 [size =\"31876096\"]\n  5 -> 39 [size =\"31876096\"]\n  5 -> 41 [size =\"31876096\"]\n  5 -> 44 [size =\"31876096\"]\n  6 [size=\"93431808\", alpha=\"0.14\", expect_size=\"46715904\"] \n  6 -> 36 [size =\"46715904\"]\n  6 -> 38 [size =\"46715904\"]\n  6 -> 40 [size =\"46715904\"]\n  6 -> 41 [size =\"46715904\"]\n  6 -> 50 [size =\"46715904\"]\n  7 [size=\"91140096\", alpha=\"0.06\", expect_size=\"45570048\"] \n  7 -> 34 [size =\"45570048\"]\n  7 -> 38 [size =\"45570048\"]\n  7 -> 41 [size =\"45570048\"]\n  7 -> 42 [size =\"45570048\"]\n  7 -> 43 [size =\"45570048\"]\n  7 -> 45 [size =\"45570048\"]\n  8 [size=\"16871424\", alpha=\"0.02\", expect_size=\"8435712\"] \n  8 -> 34 [size =\"8435712\"]\n  8 -> 40 [size =\"8435712\"]\n  9 [size=\"35371008\", alpha=\"0.04\", expect_size=\"17685504\"] \n  9 -> 34 [size =\"17685504\"]\n  9 -> 35 [size =\"17685504\"]\n  9 -> 36 [size =\"17685504\"]\n  9 -> 40 [size =\"17685504\"]\n  9 -> 44 [size =\"17685504\"]\n  9 -> 50 [size =\"17685504\"]\n  10 [size=\"84887552\", alpha=\"0.15\", expect_size=\"42443776\"] \n  10 -> 38 [size =\"42443776\"]\n  10 -> 39 [size =\"42443776\"]\n  10 -> 41 [size =\"42443776\"]\n  10 -> 42 [size =\"42443776\"]\n  10 -> 44 [size =\"42443776\"]\n  10 -> 48 [size =\"42443776\"]\n  11 [size=\"104374272\", alpha=\"0.15\", expect_size=\"52187136\"] \n  11 -> 38 [size =\"52187136\"]\n  11 -> 39 [size =\"52187136\"]\n  11 -> 41 [size =\"52187136\"]\n  11 -> 43 [size =\"52187136\"]\n  11 -> 49 [size =\"52187136\"]\n  12 [size=\"102133760\", alpha=\"0.08\", expect_size=\"51066880\"] \n  12 -> 34 [size =\"51066880\"]\n  12 -> 38 [size =\"51066880\"]\n  12 -> 42 [size =\"51066880\"]\n  12 -> 43 [size =\"51066880\"]\n  12 -> 46 [size =\"51066880\"]\n  13 [size=\"98836480\", alpha=\"0.16\", expect_size=\"49418240\"] \n  13 -> 37 [size =\"49418240\"]\n  13 -> 40 [size =\"49418240\"]\n  13 -> 42 [size =\"49418240\"]\n  13 -> 43 [size =\"49418240\"]\n  13 -> 44 [size =\"49418240\"]\n  14 [size=\"38471680\", alpha=\"0.12\", expect_size=\"19235840\"] \n  14 -> 35 [size =\"19235840\"]\n  14 -> 50 [size =\"19235840\"]\n  15 [size=\"30111744\", alpha=\"0.20\", expect_size=\"15055872\"] \n  15 -> 35 [size =\"15055872\"]\n  15 -> 39 [size =\"15055872\"]\n  15 -> 41 [size =\"15055872\"]\n  15 -> 42 [size =\"15055872\"]\n  15 -> 48 [size =\"15055872\"]\n  16 [size=\"12564480\", alpha=\"0.11\", expect_size=\"6282240\"] \n  16 -> 35 [size =\"6282240\"]\n  16 -> 39 [size =\"6282240\"]\n  16 -> 44 [size =\"6282240\"]\n  17 [size=\"79323136\", alpha=\"0.10\", expect_size=\"39661568\"] \n  17 -> 35 [size =\"39661568\"]\n  17 -> 41 [size =\"39661568\"]\n  17 -> 44 [size =\"39661568\"]\n  18 [size=\"14434304\", alpha=\"0.01\", expect_size=\"7217152\"] \n  18 -> 35 [size =\"7217152\"]\n  18 -> 38 [size =\"7217152\"]\n  18 -> 41 [size =\"7217152\"]\n  18 -> 42 [size =\"7217152\"]\n  18 -> 46 [size =\"7217152\"]\n  18 -> 48 [size =\"7217152\"]\n  19 [size=\"24723456\", alpha=\"0.10\", expect_size=\"12361728\"] \n  19 -> 34 [size =\"12361728\"]\n  19 -> 39 [size =\"12361728\"]\n  19 -> 40 [size =\"12361728\"]\n  19 -> 41 [size =\"12361728\"]\n  19 -> 48 [size =\"12361728\"]\n  19 -> 50 [size =\"12361728\"]\n  20 [size=\"44961792\", alpha=\"0.13\", expect_size=\"22480896\"] \n  20 -> 44 [size =\"22480896\"]\n  20 -> 47 [size =\"22480896\"]\n  21 [size=\"21551104\", alpha=\"0.17\", expect_size=\"10775552\"] \n  21 -> 44 [size =\"10775552\"]\n  21 -> 49 [size =\"10775552\"]\n  22 [size=\"94398464\", alpha=\"0.09\", expect_size=\"47199232\"] \n  22 -> 37 [size =\"47199232\"]\n  22 -> 40 [size =\"47199232\"]\n  22 -> 41 [size =\"47199232\"]\n  22 -> 42 [size =\"47199232\"]\n  22 -> 44 [size =\"47199232\"]\n  22 -> 45 [size =\"47199232\"]\n  22 -> 48 [size =\"47199232\"]\n  23 [size=\"39880704\", alpha=\"0.15\", expect_size=\"19940352\"] \n  23 -> 42 [size =\"19940352\"]\n  23 -> 48 [size =\"19940352\"]\n  24 [size=\"22829056\", alpha=\"0.18\", expect_size=\"11414528\"] \n  24 -> 34 [size =\"11414528\"]\n  24 -> 40 [size =\"11414528\"]\n  24 -> 43 [size =\"11414528\"]\n  24 -> 44 [size =\"11414528\"]\n  24 -> 47 [size =\"11414528\"]\n  25 [size=\"81219584\", alpha=\"0.12\", expect_size=\"40609792\"] \n  25 -> 39 [size =\"40609792\"]\n  25 -> 40 [size =\"40609792\"]\n  25 -> 43 [size =\"40609792\"]\n  26 [size=\"79030272\", alpha=\"0.04\", expect_size=\"39515136\"] \n  26 -> 40 [size =\"39515136\"]\n  26 -> 46 [size =\"39515136\"]\n  27 [size=\"34209792\", alpha=\"0.13\", expect_size=\"17104896\"] \n  27 -> 37 [size =\"17104896\"]\n  27 -> 38 [size =\"17104896\"]\n  27 -> 40 [size =\"17104896\"]\n  27 -> 46 [size =\"17104896\"]\n  28 [size=\"81313792\", alpha=\"0.03\", expect_size=\"40656896\"] \n  28 -> 37 [size =\"40656896\"]\n  28 -> 39 [size =\"40656896\"]\n  28 -> 41 [size =\"40656896\"]\n  29 [size=\"84207616\", alpha=\"0.19\", expect_size=\"42103808\"] \n  29 -> 39 [size =\"42103808\"]\n  29 -> 44 [size =\"42103808\"]\n  30 [size=\"36673536\", alpha=\"0.10\", expect_size=\"18336768\"] \n  30 -> 35 [size =\"18336768\"]\n  30 -> 40 [size =\"18336768\"]\n  31 [size=\"96997376\", alpha=\"0.01\", expect_size=\"48498688\"] \n  31 -> 35 [size =\"48498688\"]\n  31 -> 41 [size =\"48498688\"]\n  31 -> 42 [size =\"48498688\"]\n  31 -> 50 [size =\"48498688\"]\n  32 [size=\"83302400\", alpha=\"0.12\", expect_size=\"41651200\"] \n  32 -> 38 [size =\"41651200\"]\n  32 -> 44 [size =\"41651200\"]\n  33 [size=\"31295488\", alpha=\"0.01\", expect_size=\"15647744\"] \n  33 -> 38 [size =\"15647744\"]\n  33 -> 40 [size =\"15647744\"]\n  34 [size=\"102660096\", alpha=\"0.16\", expect_size=\"51330048\"] \n  35 [size=\"93487104\", alpha=\"0.16\", expect_size=\"46743552\"] \n  36 [size=\"57040896\", alpha=\"0.16\", expect_size=\"28520448\"] \n  37 [size=\"76271616\", alpha=\"0.10\", expect_size=\"38135808\"] \n  38 [size=\"43089920\", alpha=\"0.05\", expect_size=\"21544960\"] \n  39 [size=\"58255360\", alpha=\"0.04\", expect_size=\"29127680\"] \n  40 [size=\"52281344\", alpha=\"0.09\", expect_size=\"26140672\"] \n  41 [size=\"99571712\", alpha=\"0.17\", expect_size=\"49785856\"] \n  42 [size=\"10897408\", alpha=\"0.03\", expect_size=\"5448704\"] \n  43 [size=\"66656256\", alpha=\"0.15\", expect_size=\"33328128\"] \n  44 [size=\"72079360\", alpha=\"0.10\", expect_size=\"36039680\"] \n  45 [size=\"55156736\", alpha=\"0.19\", expect_size=\"27578368\"] \n  46 [size=\"35514368\", alpha=\"0.03\", expect_size=\"17757184\"] \n  47 [size=\"15235072\", alpha=\"0.12\", expect_size=\"7617536\"] \n  48 [size=\"63156224\", alpha=\"0.17\", expect_size=\"31578112\"] \n  49 [size=\"88854528\", alpha=\"0.16\", expect_size=\"44427264\"] \n  50 [size=\"12197888\", alpha=\"0.02\", expect_size=\"6098944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.646.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90290176\", alpha=\"0.07\", expect_size=\"45145088\"] \n  1 -> 18 [size =\"45145088\"]\n  1 -> 19 [size =\"45145088\"]\n  1 -> 22 [size =\"45145088\"]\n  1 -> 24 [size =\"45145088\"]\n  1 -> 27 [size =\"45145088\"]\n  1 -> 28 [size =\"45145088\"]\n  1 -> 29 [size =\"45145088\"]\n  1 -> 30 [size =\"45145088\"]\n  1 -> 31 [size =\"45145088\"]\n  1 -> 32 [size =\"45145088\"]\n  2 [size=\"15835136\", alpha=\"0.01\", expect_size=\"7917568\"] \n  2 -> 21 [size =\"7917568\"]\n  2 -> 22 [size =\"7917568\"]\n  2 -> 23 [size =\"7917568\"]\n  2 -> 24 [size =\"7917568\"]\n  2 -> 25 [size =\"7917568\"]\n  2 -> 28 [size =\"7917568\"]\n  2 -> 29 [size =\"7917568\"]\n  2 -> 31 [size =\"7917568\"]\n  2 -> 31 [size =\"7917568\"]\n  3 [size=\"93644800\", alpha=\"0.12\", expect_size=\"46822400\"] \n  3 -> 24 [size =\"46822400\"]\n  3 -> 25 [size =\"46822400\"]\n  3 -> 28 [size =\"46822400\"]\n  3 -> 29 [size =\"46822400\"]\n  3 -> 31 [size =\"46822400\"]\n  4 [size=\"12107776\", alpha=\"0.16\", expect_size=\"6053888\"] \n  4 -> 19 [size =\"6053888\"]\n  4 -> 23 [size =\"6053888\"]\n  4 -> 24 [size =\"6053888\"]\n  4 -> 25 [size =\"6053888\"]\n  4 -> 27 [size =\"6053888\"]\n  4 -> 28 [size =\"6053888\"]\n  4 -> 29 [size =\"6053888\"]\n  4 -> 30 [size =\"6053888\"]\n  4 -> 31 [size =\"6053888\"]\n  4 -> 32 [size =\"6053888\"]\n  5 [size=\"27465728\", alpha=\"0.19\", expect_size=\"13732864\"] \n  5 -> 19 [size =\"13732864\"]\n  5 -> 20 [size =\"13732864\"]\n  5 -> 25 [size =\"13732864\"]\n  5 -> 25 [size =\"13732864\"]\n  5 -> 29 [size =\"13732864\"]\n  5 -> 30 [size =\"13732864\"]\n  5 -> 31 [size =\"13732864\"]\n  5 -> 32 [size =\"13732864\"]\n  6 [size=\"60903424\", alpha=\"0.12\", expect_size=\"30451712\"] \n  6 -> 18 [size =\"30451712\"]\n  6 -> 19 [size =\"30451712\"]\n  6 -> 23 [size =\"30451712\"]\n  6 -> 24 [size =\"30451712\"]\n  6 -> 25 [size =\"30451712\"]\n  6 -> 29 [size =\"30451712\"]\n  6 -> 30 [size =\"30451712\"]\n  6 -> 31 [size =\"30451712\"]\n  7 [size=\"31418368\", alpha=\"0.20\", expect_size=\"15709184\"] \n  7 -> 23 [size =\"15709184\"]\n  7 -> 25 [size =\"15709184\"]\n  7 -> 27 [size =\"15709184\"]\n  7 -> 28 [size =\"15709184\"]\n  7 -> 29 [size =\"15709184\"]\n  7 -> 29 [size =\"15709184\"]\n  7 -> 31 [size =\"15709184\"]\n  7 -> 31 [size =\"15709184\"]\n  8 [size=\"64477184\", alpha=\"0.17\", expect_size=\"32238592\"] \n  8 -> 18 [size =\"32238592\"]\n  8 -> 19 [size =\"32238592\"]\n  8 -> 22 [size =\"32238592\"]\n  8 -> 23 [size =\"32238592\"]\n  8 -> 24 [size =\"32238592\"]\n  8 -> 27 [size =\"32238592\"]\n  8 -> 29 [size =\"32238592\"]\n  8 -> 30 [size =\"32238592\"]\n  9 [size=\"95870976\", alpha=\"0.18\", expect_size=\"47935488\"] \n  9 -> 19 [size =\"47935488\"]\n  9 -> 23 [size =\"47935488\"]\n  9 -> 24 [size =\"47935488\"]\n  9 -> 26 [size =\"47935488\"]\n  9 -> 27 [size =\"47935488\"]\n  9 -> 28 [size =\"47935488\"]\n  9 -> 29 [size =\"47935488\"]\n  9 -> 30 [size =\"47935488\"]\n  10 [size=\"72763392\", alpha=\"0.01\", expect_size=\"36381696\"] \n  10 -> 20 [size =\"36381696\"]\n  10 -> 23 [size =\"36381696\"]\n  10 -> 24 [size =\"36381696\"]\n  10 -> 25 [size =\"36381696\"]\n  10 -> 27 [size =\"36381696\"]\n  10 -> 29 [size =\"36381696\"]\n  10 -> 30 [size =\"36381696\"]\n  11 [size=\"87980032\", alpha=\"0.18\", expect_size=\"43990016\"] \n  11 -> 18 [size =\"43990016\"]\n  11 -> 23 [size =\"43990016\"]\n  11 -> 24 [size =\"43990016\"]\n  11 -> 27 [size =\"43990016\"]\n  11 -> 29 [size =\"43990016\"]\n  11 -> 29 [size =\"43990016\"]\n  12 [size=\"28874752\", alpha=\"0.04\", expect_size=\"14437376\"] \n  12 -> 18 [size =\"14437376\"]\n  12 -> 22 [size =\"14437376\"]\n  12 -> 23 [size =\"14437376\"]\n  12 -> 25 [size =\"14437376\"]\n  12 -> 26 [size =\"14437376\"]\n  12 -> 27 [size =\"14437376\"]\n  12 -> 29 [size =\"14437376\"]\n  12 -> 31 [size =\"14437376\"]\n  13 [size=\"35274752\", alpha=\"0.17\", expect_size=\"17637376\"] \n  13 -> 18 [size =\"17637376\"]\n  13 -> 21 [size =\"17637376\"]\n  13 -> 22 [size =\"17637376\"]\n  13 -> 23 [size =\"17637376\"]\n  13 -> 27 [size =\"17637376\"]\n  13 -> 28 [size =\"17637376\"]\n  13 -> 31 [size =\"17637376\"]\n  14 [size=\"92256256\", alpha=\"0.08\", expect_size=\"46128128\"] \n  14 -> 18 [size =\"46128128\"]\n  14 -> 19 [size =\"46128128\"]\n  14 -> 22 [size =\"46128128\"]\n  14 -> 23 [size =\"46128128\"]\n  14 -> 24 [size =\"46128128\"]\n  14 -> 28 [size =\"46128128\"]\n  14 -> 30 [size =\"46128128\"]\n  14 -> 31 [size =\"46128128\"]\n  15 [size=\"71442432\", alpha=\"0.07\", expect_size=\"35721216\"] \n  15 -> 18 [size =\"35721216\"]\n  15 -> 19 [size =\"35721216\"]\n  15 -> 21 [size =\"35721216\"]\n  15 -> 22 [size =\"35721216\"]\n  15 -> 23 [size =\"35721216\"]\n  15 -> 24 [size =\"35721216\"]\n  15 -> 25 [size =\"35721216\"]\n  15 -> 28 [size =\"35721216\"]\n  15 -> 29 [size =\"35721216\"]\n  15 -> 30 [size =\"35721216\"]\n  16 [size=\"65525760\", alpha=\"0.07\", expect_size=\"32762880\"] \n  16 -> 18 [size =\"32762880\"]\n  16 -> 19 [size =\"32762880\"]\n  16 -> 23 [size =\"32762880\"]\n  16 -> 24 [size =\"32762880\"]\n  16 -> 25 [size =\"32762880\"]\n  16 -> 27 [size =\"32762880\"]\n  16 -> 28 [size =\"32762880\"]\n  16 -> 32 [size =\"32762880\"]\n  17 [size=\"26425344\", alpha=\"0.13\", expect_size=\"13212672\"] \n  17 -> 19 [size =\"13212672\"]\n  17 -> 24 [size =\"13212672\"]\n  17 -> 27 [size =\"13212672\"]\n  17 -> 30 [size =\"13212672\"]\n  17 -> 31 [size =\"13212672\"]\n  18 [size=\"25909248\", alpha=\"0.17\", expect_size=\"12954624\"] \n  18 -> 36 [size =\"12954624\"]\n  18 -> 38 [size =\"12954624\"]\n  18 -> 39 [size =\"12954624\"]\n  18 -> 40 [size =\"12954624\"]\n  18 -> 41 [size =\"12954624\"]\n  19 [size=\"12814336\", alpha=\"0.05\", expect_size=\"6407168\"] \n  19 -> 36 [size =\"6407168\"]\n  19 -> 39 [size =\"6407168\"]\n  19 -> 39 [size =\"6407168\"]\n  19 -> 40 [size =\"6407168\"]\n  19 -> 43 [size =\"6407168\"]\n  20 [size=\"95901696\", alpha=\"0.04\", expect_size=\"47950848\"] \n  20 -> 35 [size =\"47950848\"]\n  20 -> 38 [size =\"47950848\"]\n  20 -> 41 [size =\"47950848\"]\n  21 [size=\"101515264\", alpha=\"0.00\", expect_size=\"50757632\"] \n  21 -> 40 [size =\"50757632\"]\n  21 -> 41 [size =\"50757632\"]\n  21 -> 41 [size =\"50757632\"]\n  21 -> 42 [size =\"50757632\"]\n  22 [size=\"90259456\", alpha=\"0.17\", expect_size=\"45129728\"] \n  22 -> 33 [size =\"45129728\"]\n  22 -> 36 [size =\"45129728\"]\n  22 -> 38 [size =\"45129728\"]\n  22 -> 40 [size =\"45129728\"]\n  22 -> 41 [size =\"45129728\"]\n  22 -> 43 [size =\"45129728\"]\n  23 [size=\"15370240\", alpha=\"0.12\", expect_size=\"7685120\"] \n  23 -> 34 [size =\"7685120\"]\n  23 -> 35 [size =\"7685120\"]\n  23 -> 37 [size =\"7685120\"]\n  23 -> 41 [size =\"7685120\"]\n  23 -> 41 [size =\"7685120\"]\n  23 -> 42 [size =\"7685120\"]\n  24 [size=\"97603584\", alpha=\"0.07\", expect_size=\"48801792\"] \n  24 -> 34 [size =\"48801792\"]\n  24 -> 35 [size =\"48801792\"]\n  24 -> 38 [size =\"48801792\"]\n  24 -> 39 [size =\"48801792\"]\n  24 -> 40 [size =\"48801792\"]\n  24 -> 41 [size =\"48801792\"]\n  24 -> 42 [size =\"48801792\"]\n  24 -> 43 [size =\"48801792\"]\n  25 [size=\"42983424\", alpha=\"0.06\", expect_size=\"21491712\"] \n  25 -> 33 [size =\"21491712\"]\n  25 -> 36 [size =\"21491712\"]\n  25 -> 38 [size =\"21491712\"]\n  25 -> 44 [size =\"21491712\"]\n  26 [size=\"74258432\", alpha=\"0.15\", expect_size=\"37129216\"] \n  26 -> 33 [size =\"37129216\"]\n  26 -> 36 [size =\"37129216\"]\n  26 -> 37 [size =\"37129216\"]\n  26 -> 38 [size =\"37129216\"]\n  26 -> 39 [size =\"37129216\"]\n  26 -> 41 [size =\"37129216\"]\n  26 -> 43 [size =\"37129216\"]\n  27 [size=\"11411456\", alpha=\"0.09\", expect_size=\"5705728\"] \n  27 -> 33 [size =\"5705728\"]\n  27 -> 35 [size =\"5705728\"]\n  27 -> 36 [size =\"5705728\"]\n  27 -> 38 [size =\"5705728\"]\n  27 -> 39 [size =\"5705728\"]\n  27 -> 40 [size =\"5705728\"]\n  27 -> 43 [size =\"5705728\"]\n  28 [size=\"72556544\", alpha=\"0.15\", expect_size=\"36278272\"] \n  28 -> 33 [size =\"36278272\"]\n  28 -> 36 [size =\"36278272\"]\n  28 -> 36 [size =\"36278272\"]\n  28 -> 38 [size =\"36278272\"]\n  28 -> 41 [size =\"36278272\"]\n  28 -> 42 [size =\"36278272\"]\n  28 -> 43 [size =\"36278272\"]\n  29 [size=\"57071616\", alpha=\"0.18\", expect_size=\"28535808\"] \n  29 -> 35 [size =\"28535808\"]\n  29 -> 36 [size =\"28535808\"]\n  29 -> 37 [size =\"28535808\"]\n  29 -> 38 [size =\"28535808\"]\n  29 -> 39 [size =\"28535808\"]\n  29 -> 40 [size =\"28535808\"]\n  29 -> 42 [size =\"28535808\"]\n  29 -> 43 [size =\"28535808\"]\n  30 [size=\"81391616\", alpha=\"0.15\", expect_size=\"40695808\"] \n  30 -> 36 [size =\"40695808\"]\n  30 -> 36 [size =\"40695808\"]\n  30 -> 38 [size =\"40695808\"]\n  30 -> 38 [size =\"40695808\"]\n  30 -> 39 [size =\"40695808\"]\n  30 -> 40 [size =\"40695808\"]\n  30 -> 42 [size =\"40695808\"]\n  30 -> 43 [size =\"40695808\"]\n  31 [size=\"101519360\", alpha=\"0.08\", expect_size=\"50759680\"] \n  31 -> 36 [size =\"50759680\"]\n  31 -> 39 [size =\"50759680\"]\n  31 -> 40 [size =\"50759680\"]\n  31 -> 42 [size =\"50759680\"]\n  31 -> 43 [size =\"50759680\"]\n  32 [size=\"102889472\", alpha=\"0.05\", expect_size=\"51444736\"] \n  32 -> 34 [size =\"51444736\"]\n  32 -> 35 [size =\"51444736\"]\n  32 -> 38 [size =\"51444736\"]\n  32 -> 39 [size =\"51444736\"]\n  32 -> 40 [size =\"51444736\"]\n  32 -> 41 [size =\"51444736\"]\n  32 -> 42 [size =\"51444736\"]\n  32 -> 43 [size =\"51444736\"]\n  33 [size=\"90851328\", alpha=\"0.07\", expect_size=\"45425664\"] \n  33 -> 45 [size =\"45425664\"]\n  33 -> 46 [size =\"45425664\"]\n  33 -> 47 [size =\"45425664\"]\n  33 -> 48 [size =\"45425664\"]\n  33 -> 50 [size =\"45425664\"]\n  34 [size=\"54196224\", alpha=\"0.06\", expect_size=\"27098112\"] \n  34 -> 45 [size =\"27098112\"]\n  34 -> 46 [size =\"27098112\"]\n  34 -> 49 [size =\"27098112\"]\n  34 -> 50 [size =\"27098112\"]\n  35 [size=\"88915968\", alpha=\"0.19\", expect_size=\"44457984\"] \n  35 -> 45 [size =\"44457984\"]\n  35 -> 47 [size =\"44457984\"]\n  35 -> 50 [size =\"44457984\"]\n  36 [size=\"23248896\", alpha=\"0.03\", expect_size=\"11624448\"] \n  36 -> 45 [size =\"11624448\"]\n  36 -> 46 [size =\"11624448\"]\n  36 -> 47 [size =\"11624448\"]\n  36 -> 49 [size =\"11624448\"]\n  37 [size=\"96356352\", alpha=\"0.10\", expect_size=\"48178176\"] \n  37 -> 45 [size =\"48178176\"]\n  37 -> 46 [size =\"48178176\"]\n  37 -> 47 [size =\"48178176\"]\n  37 -> 48 [size =\"48178176\"]\n  37 -> 49 [size =\"48178176\"]\n  38 [size=\"46059520\", alpha=\"0.01\", expect_size=\"23029760\"] \n  38 -> 46 [size =\"23029760\"]\n  38 -> 47 [size =\"23029760\"]\n  38 -> 48 [size =\"23029760\"]\n  38 -> 49 [size =\"23029760\"]\n  38 -> 49 [size =\"23029760\"]\n  38 -> 50 [size =\"23029760\"]\n  39 [size=\"20719616\", alpha=\"0.12\", expect_size=\"10359808\"] \n  39 -> 45 [size =\"10359808\"]\n  39 -> 47 [size =\"10359808\"]\n  39 -> 48 [size =\"10359808\"]\n  39 -> 49 [size =\"10359808\"]\n  39 -> 50 [size =\"10359808\"]\n  40 [size=\"11350016\", alpha=\"0.01\", expect_size=\"5675008\"] \n  40 -> 45 [size =\"5675008\"]\n  40 -> 47 [size =\"5675008\"]\n  40 -> 48 [size =\"5675008\"]\n  40 -> 49 [size =\"5675008\"]\n  40 -> 50 [size =\"5675008\"]\n  41 [size=\"80232448\", alpha=\"0.10\", expect_size=\"40116224\"] \n  41 -> 45 [size =\"40116224\"]\n  41 -> 47 [size =\"40116224\"]\n  41 -> 48 [size =\"40116224\"]\n  41 -> 49 [size =\"40116224\"]\n  41 -> 50 [size =\"40116224\"]\n  42 [size=\"21745664\", alpha=\"0.15\", expect_size=\"10872832\"] \n  42 -> 48 [size =\"10872832\"]\n  42 -> 49 [size =\"10872832\"]\n  42 -> 50 [size =\"10872832\"]\n  43 [size=\"43022336\", alpha=\"0.02\", expect_size=\"21511168\"] \n  43 -> 45 [size =\"21511168\"]\n  43 -> 46 [size =\"21511168\"]\n  43 -> 47 [size =\"21511168\"]\n  43 -> 49 [size =\"21511168\"]\n  43 -> 50 [size =\"21511168\"]\n  44 [size=\"74481664\", alpha=\"0.07\", expect_size=\"37240832\"] \n  44 -> 45 [size =\"37240832\"]\n  44 -> 46 [size =\"37240832\"]\n  44 -> 47 [size =\"37240832\"]\n  44 -> 49 [size =\"37240832\"]\n  44 -> 50 [size =\"37240832\"]\n  45 [size=\"103522304\", alpha=\"0.19\", expect_size=\"51761152\"] \n  46 [size=\"96733184\", alpha=\"0.04\", expect_size=\"48366592\"] \n  47 [size=\"14780416\", alpha=\"0.10\", expect_size=\"7390208\"] \n  48 [size=\"62351360\", alpha=\"0.09\", expect_size=\"31175680\"] \n  49 [size=\"66123776\", alpha=\"0.17\", expect_size=\"33061888\"] \n  50 [size=\"28430336\", alpha=\"0.01\", expect_size=\"14215168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.647.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71491584\", alpha=\"0.03\", expect_size=\"35745792\"] \n  1 -> 3 [size =\"35745792\"]\n  1 -> 6 [size =\"35745792\"]\n  2 [size=\"62898176\", alpha=\"0.11\", expect_size=\"31449088\"] \n  2 -> 4 [size =\"31449088\"]\n  2 -> 5 [size =\"31449088\"]\n  3 [size=\"20592640\", alpha=\"0.12\", expect_size=\"10296320\"] \n  3 -> 7 [size =\"10296320\"]\n  4 [size=\"15153152\", alpha=\"0.01\", expect_size=\"7576576\"] \n  5 [size=\"96356352\", alpha=\"0.17\", expect_size=\"48178176\"] \n  5 -> 8 [size =\"48178176\"]\n  6 [size=\"22216704\", alpha=\"0.09\", expect_size=\"11108352\"] \n  6 -> 8 [size =\"11108352\"]\n  7 [size=\"36143104\", alpha=\"0.14\", expect_size=\"18071552\"] \n  7 -> 9 [size =\"18071552\"]\n  8 [size=\"26810368\", alpha=\"0.12\", expect_size=\"13405184\"] \n  8 -> 10 [size =\"13405184\"]\n  8 -> 11 [size =\"13405184\"]\n  9 [size=\"38316032\", alpha=\"0.16\", expect_size=\"19158016\"] \n  9 -> 12 [size =\"19158016\"]\n  10 [size=\"42514432\", alpha=\"0.02\", expect_size=\"21257216\"] \n  11 [size=\"76433408\", alpha=\"0.06\", expect_size=\"38216704\"] \n  11 -> 12 [size =\"38216704\"]\n  11 -> 13 [size =\"38216704\"]\n  12 [size=\"88614912\", alpha=\"0.05\", expect_size=\"44307456\"] \n  13 [size=\"44490752\", alpha=\"0.10\", expect_size=\"22245376\"] \n  13 -> 14 [size =\"22245376\"]\n  13 -> 15 [size =\"22245376\"]\n  14 [size=\"100313088\", alpha=\"0.02\", expect_size=\"50156544\"] \n  14 -> 17 [size =\"50156544\"]\n  15 [size=\"11909120\", alpha=\"0.00\", expect_size=\"5954560\"] \n  15 -> 16 [size =\"5954560\"]\n  15 -> 18 [size =\"5954560\"]\n  16 [size=\"93476864\", alpha=\"0.03\", expect_size=\"46738432\"] \n  17 [size=\"42465280\", alpha=\"0.05\", expect_size=\"21232640\"] \n  17 -> 19 [size =\"21232640\"]\n  18 [size=\"13756416\", alpha=\"0.07\", expect_size=\"6878208\"] \n  18 -> 19 [size =\"6878208\"]\n  19 [size=\"70479872\", alpha=\"0.09\", expect_size=\"35239936\"] \n  19 -> 20 [size =\"35239936\"]\n  19 -> 21 [size =\"35239936\"]\n  19 -> 22 [size =\"35239936\"]\n  19 -> 23 [size =\"35239936\"]\n  20 [size=\"51435520\", alpha=\"0.10\", expect_size=\"25717760\"] \n  21 [size=\"62760960\", alpha=\"0.04\", expect_size=\"31380480\"] \n  21 -> 24 [size =\"31380480\"]\n  22 [size=\"92178432\", alpha=\"0.08\", expect_size=\"46089216\"] \n  22 -> 25 [size =\"46089216\"]\n  23 [size=\"22573056\", alpha=\"0.16\", expect_size=\"11286528\"] \n  23 -> 25 [size =\"11286528\"]\n  24 [size=\"70795264\", alpha=\"0.04\", expect_size=\"35397632\"] \n  24 -> 26 [size =\"35397632\"]\n  24 -> 27 [size =\"35397632\"]\n  24 -> 29 [size =\"35397632\"]\n  25 [size=\"82024448\", alpha=\"0.10\", expect_size=\"41012224\"] \n  25 -> 28 [size =\"41012224\"]\n  26 [size=\"83001344\", alpha=\"0.19\", expect_size=\"41500672\"] \n  26 -> 33 [size =\"41500672\"]\n  27 [size=\"98441216\", alpha=\"0.13\", expect_size=\"49220608\"] \n  27 -> 32 [size =\"49220608\"]\n  28 [size=\"27897856\", alpha=\"0.11\", expect_size=\"13948928\"] \n  28 -> 30 [size =\"13948928\"]\n  28 -> 32 [size =\"13948928\"]\n  29 [size=\"58941440\", alpha=\"0.14\", expect_size=\"29470720\"] \n  29 -> 30 [size =\"29470720\"]\n  29 -> 31 [size =\"29470720\"]\n  30 [size=\"100218880\", alpha=\"0.05\", expect_size=\"50109440\"] \n  30 -> 35 [size =\"50109440\"]\n  30 -> 37 [size =\"50109440\"]\n  31 [size=\"51476480\", alpha=\"0.09\", expect_size=\"25738240\"] \n  32 [size=\"68091904\", alpha=\"0.10\", expect_size=\"34045952\"] \n  32 -> 36 [size =\"34045952\"]\n  33 [size=\"13740032\", alpha=\"0.18\", expect_size=\"6870016\"] \n  33 -> 34 [size =\"6870016\"]\n  34 [size=\"87267328\", alpha=\"0.05\", expect_size=\"43633664\"] \n  35 [size=\"104603648\", alpha=\"0.12\", expect_size=\"52301824\"] \n  35 -> 38 [size =\"52301824\"]\n  36 [size=\"57247744\", alpha=\"0.17\", expect_size=\"28623872\"] \n  36 -> 38 [size =\"28623872\"]\n  37 [size=\"51300352\", alpha=\"0.09\", expect_size=\"25650176\"] \n  38 [size=\"18049024\", alpha=\"0.02\", expect_size=\"9024512\"] \n  38 -> 39 [size =\"9024512\"]\n  39 [size=\"68190208\", alpha=\"0.07\", expect_size=\"34095104\"] \n  39 -> 40 [size =\"34095104\"]\n  39 -> 41 [size =\"34095104\"]\n  40 [size=\"40810496\", alpha=\"0.01\", expect_size=\"20405248\"] \n  41 [size=\"62312448\", alpha=\"0.06\", expect_size=\"31156224\"] \n  41 -> 42 [size =\"31156224\"]\n  42 [size=\"104269824\", alpha=\"0.08\", expect_size=\"52134912\"] \n  42 -> 43 [size =\"52134912\"]\n  42 -> 44 [size =\"52134912\"]\n  42 -> 45 [size =\"52134912\"]\n  42 -> 46 [size =\"52134912\"]\n  43 [size=\"56070144\", alpha=\"0.13\", expect_size=\"28035072\"] \n  43 -> 47 [size =\"28035072\"]\n  44 [size=\"46092288\", alpha=\"0.11\", expect_size=\"23046144\"] \n  44 -> 47 [size =\"23046144\"]\n  45 [size=\"69791744\", alpha=\"0.03\", expect_size=\"34895872\"] \n  45 -> 48 [size =\"34895872\"]\n  46 [size=\"34222080\", alpha=\"0.12\", expect_size=\"17111040\"] \n  47 [size=\"22376448\", alpha=\"0.18\", expect_size=\"11188224\"] \n  47 -> 50 [size =\"11188224\"]\n  48 [size=\"66230272\", alpha=\"0.09\", expect_size=\"33115136\"] \n  48 -> 49 [size =\"33115136\"]\n  49 [size=\"74690560\", alpha=\"0.10\", expect_size=\"37345280\"] \n  50 [size=\"13377536\", alpha=\"0.09\", expect_size=\"6688768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.648.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50137088\", alpha=\"0.20\", expect_size=\"25068544\"] \n  1 -> 2 [size =\"25068544\"]\n  2 [size=\"100728832\", alpha=\"0.08\", expect_size=\"50364416\"] \n  2 -> 3 [size =\"50364416\"]\n  3 [size=\"100100096\", alpha=\"0.01\", expect_size=\"50050048\"] \n  3 -> 4 [size =\"50050048\"]\n  4 [size=\"79349760\", alpha=\"0.18\", expect_size=\"39674880\"] \n  4 -> 5 [size =\"39674880\"]\n  5 [size=\"76531712\", alpha=\"0.03\", expect_size=\"38265856\"] \n  5 -> 6 [size =\"38265856\"]\n  6 [size=\"68366336\", alpha=\"0.12\", expect_size=\"34183168\"] \n  6 -> 7 [size =\"34183168\"]\n  7 [size=\"90376192\", alpha=\"0.02\", expect_size=\"45188096\"] \n  7 -> 8 [size =\"45188096\"]\n  8 [size=\"103786496\", alpha=\"0.18\", expect_size=\"51893248\"] \n  8 -> 9 [size =\"51893248\"]\n  9 [size=\"42817536\", alpha=\"0.15\", expect_size=\"21408768\"] \n  9 -> 10 [size =\"21408768\"]\n  10 [size=\"40476672\", alpha=\"0.01\", expect_size=\"20238336\"] \n  10 -> 11 [size =\"20238336\"]\n  11 [size=\"58345472\", alpha=\"0.02\", expect_size=\"29172736\"] \n  11 -> 12 [size =\"29172736\"]\n  12 [size=\"58028032\", alpha=\"0.10\", expect_size=\"29014016\"] \n  12 -> 13 [size =\"29014016\"]\n  13 [size=\"97191936\", alpha=\"0.08\", expect_size=\"48595968\"] \n  13 -> 14 [size =\"48595968\"]\n  14 [size=\"103266304\", alpha=\"0.20\", expect_size=\"51633152\"] \n  14 -> 15 [size =\"51633152\"]\n  15 [size=\"95318016\", alpha=\"0.19\", expect_size=\"47659008\"] \n  15 -> 16 [size =\"47659008\"]\n  16 [size=\"15804416\", alpha=\"0.07\", expect_size=\"7902208\"] \n  16 -> 17 [size =\"7902208\"]\n  17 [size=\"72828928\", alpha=\"0.09\", expect_size=\"36414464\"] \n  17 -> 18 [size =\"36414464\"]\n  18 [size=\"82206720\", alpha=\"0.12\", expect_size=\"41103360\"] \n  18 -> 19 [size =\"41103360\"]\n  19 [size=\"73488384\", alpha=\"0.03\", expect_size=\"36744192\"] \n  19 -> 20 [size =\"36744192\"]\n  20 [size=\"48267264\", alpha=\"0.18\", expect_size=\"24133632\"] \n  20 -> 21 [size =\"24133632\"]\n  21 [size=\"50692096\", alpha=\"0.01\", expect_size=\"25346048\"] \n  21 -> 22 [size =\"25346048\"]\n  22 [size=\"61200384\", alpha=\"0.04\", expect_size=\"30600192\"] \n  22 -> 23 [size =\"30600192\"]\n  23 [size=\"13633536\", alpha=\"0.05\", expect_size=\"6816768\"] \n  23 -> 24 [size =\"6816768\"]\n  24 [size=\"52160512\", alpha=\"0.02\", expect_size=\"26080256\"] \n  24 -> 25 [size =\"26080256\"]\n  25 [size=\"52008960\", alpha=\"0.12\", expect_size=\"26004480\"] \n  25 -> 26 [size =\"26004480\"]\n  26 [size=\"47540224\", alpha=\"0.14\", expect_size=\"23770112\"] \n  26 -> 27 [size =\"23770112\"]\n  27 [size=\"80852992\", alpha=\"0.13\", expect_size=\"40426496\"] \n  27 -> 28 [size =\"40426496\"]\n  28 [size=\"27697152\", alpha=\"0.13\", expect_size=\"13848576\"] \n  28 -> 29 [size =\"13848576\"]\n  29 [size=\"86548480\", alpha=\"0.19\", expect_size=\"43274240\"] \n  29 -> 30 [size =\"43274240\"]\n  30 [size=\"99661824\", alpha=\"0.11\", expect_size=\"49830912\"] \n  30 -> 31 [size =\"49830912\"]\n  31 [size=\"89346048\", alpha=\"0.13\", expect_size=\"44673024\"] \n  31 -> 32 [size =\"44673024\"]\n  32 [size=\"95252480\", alpha=\"0.06\", expect_size=\"47626240\"] \n  32 -> 33 [size =\"47626240\"]\n  33 [size=\"18880512\", alpha=\"0.17\", expect_size=\"9440256\"] \n  33 -> 34 [size =\"9440256\"]\n  34 [size=\"44218368\", alpha=\"0.07\", expect_size=\"22109184\"] \n  34 -> 35 [size =\"22109184\"]\n  35 [size=\"51386368\", alpha=\"0.16\", expect_size=\"25693184\"] \n  35 -> 36 [size =\"25693184\"]\n  36 [size=\"12060672\", alpha=\"0.06\", expect_size=\"6030336\"] \n  36 -> 37 [size =\"6030336\"]\n  37 [size=\"78497792\", alpha=\"0.09\", expect_size=\"39248896\"] \n  37 -> 38 [size =\"39248896\"]\n  38 [size=\"47468544\", alpha=\"0.07\", expect_size=\"23734272\"] \n  38 -> 39 [size =\"23734272\"]\n  39 [size=\"12281856\", alpha=\"0.18\", expect_size=\"6140928\"] \n  39 -> 40 [size =\"6140928\"]\n  40 [size=\"99637248\", alpha=\"0.18\", expect_size=\"49818624\"] \n  40 -> 41 [size =\"49818624\"]\n  41 [size=\"56414208\", alpha=\"0.06\", expect_size=\"28207104\"] \n  41 -> 42 [size =\"28207104\"]\n  42 [size=\"24844288\", alpha=\"0.04\", expect_size=\"12422144\"] \n  42 -> 43 [size =\"12422144\"]\n  43 [size=\"52471808\", alpha=\"0.04\", expect_size=\"26235904\"] \n  43 -> 44 [size =\"26235904\"]\n  44 [size=\"37263360\", alpha=\"0.12\", expect_size=\"18631680\"] \n  44 -> 45 [size =\"18631680\"]\n  45 [size=\"71997440\", alpha=\"0.09\", expect_size=\"35998720\"] \n  45 -> 46 [size =\"35998720\"]\n  46 [size=\"52764672\", alpha=\"0.14\", expect_size=\"26382336\"] \n  46 -> 47 [size =\"26382336\"]\n  47 [size=\"79257600\", alpha=\"0.14\", expect_size=\"39628800\"] \n  47 -> 48 [size =\"39628800\"]\n  48 [size=\"25077760\", alpha=\"0.17\", expect_size=\"12538880\"] \n  48 -> 49 [size =\"12538880\"]\n  49 [size=\"56320000\", alpha=\"0.17\", expect_size=\"28160000\"] \n  49 -> 50 [size =\"28160000\"]\n  50 [size=\"47243264\", alpha=\"0.15\", expect_size=\"23621632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.649.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95112533\", alpha=\"0.09\", expect_size=\"28533760\"] \n  1 -> 32 [size =\"28533760\"]\n  1 -> 41 [size =\"28533760\"]\n  1 -> 41 [size =\"28533760\"]\n  1 -> 42 [size =\"28533760\"]\n  1 -> 47 [size =\"28533760\"]\n  1 -> 49 [size =\"28533760\"]\n  1 -> 50 [size =\"28533760\"]\n  2 [size=\"40205653\", alpha=\"0.17\", expect_size=\"12061696\"] \n  2 -> 32 [size =\"12061696\"]\n  2 -> 36 [size =\"12061696\"]\n  2 -> 40 [size =\"12061696\"]\n  2 -> 41 [size =\"12061696\"]\n  2 -> 42 [size =\"12061696\"]\n  2 -> 43 [size =\"12061696\"]\n  2 -> 44 [size =\"12061696\"]\n  2 -> 46 [size =\"12061696\"]\n  2 -> 48 [size =\"12061696\"]\n  2 -> 50 [size =\"12061696\"]\n  3 [size=\"120760320\", alpha=\"0.09\", expect_size=\"36228096\"] \n  3 -> 32 [size =\"36228096\"]\n  3 -> 41 [size =\"36228096\"]\n  3 -> 42 [size =\"36228096\"]\n  3 -> 44 [size =\"36228096\"]\n  3 -> 46 [size =\"36228096\"]\n  3 -> 47 [size =\"36228096\"]\n  3 -> 50 [size =\"36228096\"]\n  4 [size=\"117179733\", alpha=\"0.07\", expect_size=\"35153920\"] \n  4 -> 32 [size =\"35153920\"]\n  4 -> 37 [size =\"35153920\"]\n  4 -> 39 [size =\"35153920\"]\n  4 -> 40 [size =\"35153920\"]\n  4 -> 44 [size =\"35153920\"]\n  4 -> 45 [size =\"35153920\"]\n  4 -> 46 [size =\"35153920\"]\n  4 -> 47 [size =\"35153920\"]\n  4 -> 50 [size =\"35153920\"]\n  5 [size=\"174237013\", alpha=\"0.15\", expect_size=\"52271104\"] \n  5 -> 39 [size =\"52271104\"]\n  5 -> 40 [size =\"52271104\"]\n  5 -> 41 [size =\"52271104\"]\n  5 -> 44 [size =\"52271104\"]\n  5 -> 46 [size =\"52271104\"]\n  5 -> 47 [size =\"52271104\"]\n  5 -> 50 [size =\"52271104\"]\n  6 [size=\"173574827\", alpha=\"0.10\", expect_size=\"52072448\"] \n  6 -> 34 [size =\"52072448\"]\n  6 -> 36 [size =\"52072448\"]\n  6 -> 40 [size =\"52072448\"]\n  6 -> 42 [size =\"52072448\"]\n  6 -> 43 [size =\"52072448\"]\n  6 -> 44 [size =\"52072448\"]\n  6 -> 46 [size =\"52072448\"]\n  6 -> 48 [size =\"52072448\"]\n  7 [size=\"164212053\", alpha=\"0.19\", expect_size=\"49263616\"] \n  7 -> 32 [size =\"49263616\"]\n  7 -> 39 [size =\"49263616\"]\n  7 -> 40 [size =\"49263616\"]\n  7 -> 41 [size =\"49263616\"]\n  7 -> 42 [size =\"49263616\"]\n  7 -> 43 [size =\"49263616\"]\n  7 -> 46 [size =\"49263616\"]\n  7 -> 48 [size =\"49263616\"]\n  7 -> 50 [size =\"49263616\"]\n  8 [size=\"23152640\", alpha=\"0.09\", expect_size=\"6945792\"] \n  8 -> 34 [size =\"6945792\"]\n  8 -> 36 [size =\"6945792\"]\n  8 -> 39 [size =\"6945792\"]\n  8 -> 41 [size =\"6945792\"]\n  8 -> 42 [size =\"6945792\"]\n  8 -> 43 [size =\"6945792\"]\n  8 -> 44 [size =\"6945792\"]\n  8 -> 46 [size =\"6945792\"]\n  8 -> 47 [size =\"6945792\"]\n  9 [size=\"165546667\", alpha=\"0.19\", expect_size=\"49664000\"] \n  9 -> 35 [size =\"49664000\"]\n  9 -> 36 [size =\"49664000\"]\n  9 -> 39 [size =\"49664000\"]\n  9 -> 43 [size =\"49664000\"]\n  9 -> 44 [size =\"49664000\"]\n  9 -> 46 [size =\"49664000\"]\n  9 -> 50 [size =\"49664000\"]\n  10 [size=\"64498347\", alpha=\"0.07\", expect_size=\"19349504\"] \n  10 -> 32 [size =\"19349504\"]\n  10 -> 33 [size =\"19349504\"]\n  10 -> 43 [size =\"19349504\"]\n  10 -> 44 [size =\"19349504\"]\n  10 -> 47 [size =\"19349504\"]\n  10 -> 48 [size =\"19349504\"]\n  11 [size=\"144943787\", alpha=\"0.19\", expect_size=\"43483136\"] \n  11 -> 32 [size =\"43483136\"]\n  11 -> 34 [size =\"43483136\"]\n  11 -> 36 [size =\"43483136\"]\n  11 -> 40 [size =\"43483136\"]\n  11 -> 41 [size =\"43483136\"]\n  11 -> 43 [size =\"43483136\"]\n  11 -> 44 [size =\"43483136\"]\n  11 -> 50 [size =\"43483136\"]\n  12 [size=\"58282667\", alpha=\"0.10\", expect_size=\"17484800\"] \n  12 -> 36 [size =\"17484800\"]\n  12 -> 40 [size =\"17484800\"]\n  12 -> 41 [size =\"17484800\"]\n  12 -> 42 [size =\"17484800\"]\n  12 -> 47 [size =\"17484800\"]\n  13 [size=\"30924800\", alpha=\"0.01\", expect_size=\"9277440\"] \n  13 -> 32 [size =\"9277440\"]\n  13 -> 36 [size =\"9277440\"]\n  13 -> 39 [size =\"9277440\"]\n  13 -> 40 [size =\"9277440\"]\n  13 -> 42 [size =\"9277440\"]\n  13 -> 44 [size =\"9277440\"]\n  13 -> 46 [size =\"9277440\"]\n  13 -> 49 [size =\"9277440\"]\n  14 [size=\"99700053\", alpha=\"0.02\", expect_size=\"29910016\"] \n  14 -> 43 [size =\"29910016\"]\n  14 -> 45 [size =\"29910016\"]\n  14 -> 47 [size =\"29910016\"]\n  14 -> 50 [size =\"29910016\"]\n  15 [size=\"151162880\", alpha=\"0.12\", expect_size=\"45348864\"] \n  15 -> 32 [size =\"45348864\"]\n  15 -> 33 [size =\"45348864\"]\n  15 -> 34 [size =\"45348864\"]\n  15 -> 36 [size =\"45348864\"]\n  15 -> 38 [size =\"45348864\"]\n  15 -> 42 [size =\"45348864\"]\n  15 -> 46 [size =\"45348864\"]\n  15 -> 47 [size =\"45348864\"]\n  15 -> 49 [size =\"45348864\"]\n  16 [size=\"114841600\", alpha=\"0.14\", expect_size=\"34452480\"] \n  16 -> 32 [size =\"34452480\"]\n  16 -> 36 [size =\"34452480\"]\n  16 -> 38 [size =\"34452480\"]\n  16 -> 42 [size =\"34452480\"]\n  16 -> 43 [size =\"34452480\"]\n  16 -> 44 [size =\"34452480\"]\n  16 -> 48 [size =\"34452480\"]\n  17 [size=\"36990293\", alpha=\"0.02\", expect_size=\"11097088\"] \n  17 -> 34 [size =\"11097088\"]\n  17 -> 39 [size =\"11097088\"]\n  17 -> 40 [size =\"11097088\"]\n  17 -> 42 [size =\"11097088\"]\n  18 [size=\"27357867\", alpha=\"0.20\", expect_size=\"8207360\"] \n  18 -> 34 [size =\"8207360\"]\n  18 -> 36 [size =\"8207360\"]\n  18 -> 46 [size =\"8207360\"]\n  18 -> 47 [size =\"8207360\"]\n  18 -> 48 [size =\"8207360\"]\n  19 [size=\"97870507\", alpha=\"0.10\", expect_size=\"29361152\"] \n  19 -> 32 [size =\"29361152\"]\n  19 -> 34 [size =\"29361152\"]\n  19 -> 39 [size =\"29361152\"]\n  19 -> 40 [size =\"29361152\"]\n  19 -> 46 [size =\"29361152\"]\n  19 -> 47 [size =\"29361152\"]\n  19 -> 48 [size =\"29361152\"]\n  20 [size=\"91682133\", alpha=\"0.12\", expect_size=\"27504640\"] \n  20 -> 32 [size =\"27504640\"]\n  20 -> 34 [size =\"27504640\"]\n  20 -> 36 [size =\"27504640\"]\n  20 -> 39 [size =\"27504640\"]\n  20 -> 40 [size =\"27504640\"]\n  20 -> 41 [size =\"27504640\"]\n  20 -> 43 [size =\"27504640\"]\n  20 -> 47 [size =\"27504640\"]\n  20 -> 50 [size =\"27504640\"]\n  21 [size=\"149288960\", alpha=\"0.03\", expect_size=\"44786688\"] \n  21 -> 32 [size =\"44786688\"]\n  21 -> 34 [size =\"44786688\"]\n  21 -> 35 [size =\"44786688\"]\n  21 -> 36 [size =\"44786688\"]\n  21 -> 39 [size =\"44786688\"]\n  21 -> 40 [size =\"44786688\"]\n  21 -> 43 [size =\"44786688\"]\n  21 -> 44 [size =\"44786688\"]\n  21 -> 47 [size =\"44786688\"]\n  21 -> 49 [size =\"44786688\"]\n  22 [size=\"141158400\", alpha=\"0.18\", expect_size=\"42347520\"] \n  22 -> 34 [size =\"42347520\"]\n  22 -> 35 [size =\"42347520\"]\n  22 -> 40 [size =\"42347520\"]\n  22 -> 42 [size =\"42347520\"]\n  22 -> 44 [size =\"42347520\"]\n  22 -> 46 [size =\"42347520\"]\n  23 [size=\"60658347\", alpha=\"0.05\", expect_size=\"18197504\"] \n  23 -> 32 [size =\"18197504\"]\n  23 -> 35 [size =\"18197504\"]\n  23 -> 39 [size =\"18197504\"]\n  23 -> 40 [size =\"18197504\"]\n  23 -> 41 [size =\"18197504\"]\n  23 -> 44 [size =\"18197504\"]\n  23 -> 46 [size =\"18197504\"]\n  24 [size=\"70734507\", alpha=\"0.05\", expect_size=\"21220352\"] \n  24 -> 32 [size =\"21220352\"]\n  24 -> 40 [size =\"21220352\"]\n  24 -> 42 [size =\"21220352\"]\n  24 -> 43 [size =\"21220352\"]\n  24 -> 44 [size =\"21220352\"]\n  24 -> 45 [size =\"21220352\"]\n  24 -> 46 [size =\"21220352\"]\n  24 -> 47 [size =\"21220352\"]\n  24 -> 49 [size =\"21220352\"]\n  24 -> 50 [size =\"21220352\"]\n  25 [size=\"82619733\", alpha=\"0.05\", expect_size=\"24785920\"] \n  25 -> 37 [size =\"24785920\"]\n  25 -> 39 [size =\"24785920\"]\n  25 -> 43 [size =\"24785920\"]\n  25 -> 44 [size =\"24785920\"]\n  25 -> 46 [size =\"24785920\"]\n  25 -> 47 [size =\"24785920\"]\n  25 -> 50 [size =\"24785920\"]\n  26 [size=\"21671253\", alpha=\"0.05\", expect_size=\"6501376\"] \n  26 -> 34 [size =\"6501376\"]\n  26 -> 36 [size =\"6501376\"]\n  26 -> 37 [size =\"6501376\"]\n  26 -> 39 [size =\"6501376\"]\n  26 -> 42 [size =\"6501376\"]\n  26 -> 43 [size =\"6501376\"]\n  26 -> 44 [size =\"6501376\"]\n  26 -> 46 [size =\"6501376\"]\n  26 -> 47 [size =\"6501376\"]\n  26 -> 49 [size =\"6501376\"]\n  26 -> 50 [size =\"6501376\"]\n  27 [size=\"133143893\", alpha=\"0.03\", expect_size=\"39943168\"] \n  27 -> 32 [size =\"39943168\"]\n  27 -> 40 [size =\"39943168\"]\n  27 -> 42 [size =\"39943168\"]\n  27 -> 43 [size =\"39943168\"]\n  27 -> 44 [size =\"39943168\"]\n  27 -> 46 [size =\"39943168\"]\n  27 -> 47 [size =\"39943168\"]\n  28 [size=\"151886507\", alpha=\"0.03\", expect_size=\"45565952\"] \n  28 -> 39 [size =\"45565952\"]\n  28 -> 41 [size =\"45565952\"]\n  28 -> 44 [size =\"45565952\"]\n  28 -> 46 [size =\"45565952\"]\n  28 -> 47 [size =\"45565952\"]\n  28 -> 49 [size =\"45565952\"]\n  28 -> 50 [size =\"45565952\"]\n  29 [size=\"150364160\", alpha=\"0.01\", expect_size=\"45109248\"] \n  29 -> 32 [size =\"45109248\"]\n  29 -> 40 [size =\"45109248\"]\n  29 -> 41 [size =\"45109248\"]\n  29 -> 42 [size =\"45109248\"]\n  29 -> 43 [size =\"45109248\"]\n  29 -> 46 [size =\"45109248\"]\n  29 -> 47 [size =\"45109248\"]\n  30 [size=\"75332267\", alpha=\"0.05\", expect_size=\"22599680\"] \n  30 -> 32 [size =\"22599680\"]\n  30 -> 35 [size =\"22599680\"]\n  30 -> 36 [size =\"22599680\"]\n  30 -> 39 [size =\"22599680\"]\n  30 -> 40 [size =\"22599680\"]\n  30 -> 41 [size =\"22599680\"]\n  30 -> 42 [size =\"22599680\"]\n  30 -> 43 [size =\"22599680\"]\n  30 -> 46 [size =\"22599680\"]\n  31 [size=\"169239893\", alpha=\"0.05\", expect_size=\"50771968\"] \n  31 -> 32 [size =\"50771968\"]\n  31 -> 40 [size =\"50771968\"]\n  31 -> 41 [size =\"50771968\"]\n  31 -> 42 [size =\"50771968\"]\n  31 -> 43 [size =\"50771968\"]\n  31 -> 44 [size =\"50771968\"]\n  31 -> 46 [size =\"50771968\"]\n  31 -> 48 [size =\"50771968\"]\n  31 -> 50 [size =\"50771968\"]\n  32 [size=\"37867520\", alpha=\"0.10\", expect_size=\"11360256\"] \n  33 [size=\"18517333\", alpha=\"0.17\", expect_size=\"5555200\"] \n  34 [size=\"57193813\", alpha=\"0.15\", expect_size=\"17158144\"] \n  35 [size=\"96310613\", alpha=\"0.10\", expect_size=\"28893184\"] \n  36 [size=\"135342080\", alpha=\"0.17\", expect_size=\"40602624\"] \n  37 [size=\"173107200\", alpha=\"0.06\", expect_size=\"51932160\"] \n  38 [size=\"41765547\", alpha=\"0.17\", expect_size=\"12529664\"] \n  39 [size=\"61569707\", alpha=\"0.18\", expect_size=\"18470912\"] \n  40 [size=\"66020693\", alpha=\"0.08\", expect_size=\"19806208\"] \n  41 [size=\"102140587\", alpha=\"0.15\", expect_size=\"30642176\"] \n  42 [size=\"140113920\", alpha=\"0.18\", expect_size=\"42034176\"] \n  43 [size=\"63457280\", alpha=\"0.06\", expect_size=\"19037184\"] \n  44 [size=\"42912427\", alpha=\"0.01\", expect_size=\"12873728\"] \n  45 [size=\"160699733\", alpha=\"0.05\", expect_size=\"48209920\"] \n  46 [size=\"78650027\", alpha=\"0.09\", expect_size=\"23595008\"] \n  47 [size=\"51415040\", alpha=\"0.07\", expect_size=\"15424512\"] \n  48 [size=\"98515627\", alpha=\"0.03\", expect_size=\"29554688\"] \n  49 [size=\"72540160\", alpha=\"0.16\", expect_size=\"21762048\"] \n  50 [size=\"53889707\", alpha=\"0.16\", expect_size=\"16166912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46981120\", alpha=\"0.07\", expect_size=\"14094336\"] \n  1 -> 7 [size =\"14094336\"]\n  1 -> 12 [size =\"14094336\"]\n  2 [size=\"63006720\", alpha=\"0.01\", expect_size=\"18902016\"] \n  2 -> 7 [size =\"18902016\"]\n  2 -> 8 [size =\"18902016\"]\n  2 -> 9 [size =\"18902016\"]\n  2 -> 10 [size =\"18902016\"]\n  2 -> 11 [size =\"18902016\"]\n  2 -> 12 [size =\"18902016\"]\n  3 [size=\"78912853\", alpha=\"0.01\", expect_size=\"23673856\"] \n  3 -> 7 [size =\"23673856\"]\n  3 -> 9 [size =\"23673856\"]\n  3 -> 10 [size =\"23673856\"]\n  3 -> 12 [size =\"23673856\"]\n  4 [size=\"91897173\", alpha=\"0.04\", expect_size=\"27569152\"] \n  4 -> 8 [size =\"27569152\"]\n  4 -> 9 [size =\"27569152\"]\n  4 -> 10 [size =\"27569152\"]\n  5 [size=\"164628480\", alpha=\"0.20\", expect_size=\"49388544\"] \n  5 -> 8 [size =\"49388544\"]\n  5 -> 9 [size =\"49388544\"]\n  5 -> 12 [size =\"49388544\"]\n  6 [size=\"86142293\", alpha=\"0.03\", expect_size=\"25842688\"] \n  6 -> 9 [size =\"25842688\"]\n  6 -> 10 [size =\"25842688\"]\n  6 -> 12 [size =\"25842688\"]\n  7 [size=\"145797120\", alpha=\"0.15\", expect_size=\"43739136\"] \n  7 -> 13 [size =\"43739136\"]\n  7 -> 14 [size =\"43739136\"]\n  7 -> 17 [size =\"43739136\"]\n  7 -> 18 [size =\"43739136\"]\n  8 [size=\"157583360\", alpha=\"0.05\", expect_size=\"47275008\"] \n  8 -> 13 [size =\"47275008\"]\n  8 -> 14 [size =\"47275008\"]\n  8 -> 16 [size =\"47275008\"]\n  8 -> 18 [size =\"47275008\"]\n  9 [size=\"58675200\", alpha=\"0.07\", expect_size=\"17602560\"] \n  9 -> 13 [size =\"17602560\"]\n  9 -> 16 [size =\"17602560\"]\n  9 -> 18 [size =\"17602560\"]\n  10 [size=\"64955733\", alpha=\"0.08\", expect_size=\"19486720\"] \n  10 -> 16 [size =\"19486720\"]\n  10 -> 16 [size =\"19486720\"]\n  10 -> 18 [size =\"19486720\"]\n  11 [size=\"62208000\", alpha=\"0.12\", expect_size=\"18662400\"] \n  11 -> 13 [size =\"18662400\"]\n  11 -> 16 [size =\"18662400\"]\n  11 -> 17 [size =\"18662400\"]\n  11 -> 18 [size =\"18662400\"]\n  12 [size=\"116722347\", alpha=\"0.11\", expect_size=\"35016704\"] \n  12 -> 13 [size =\"35016704\"]\n  12 -> 15 [size =\"35016704\"]\n  12 -> 16 [size =\"35016704\"]\n  12 -> 17 [size =\"35016704\"]\n  13 [size=\"128399360\", alpha=\"0.14\", expect_size=\"38519808\"] \n  13 -> 19 [size =\"38519808\"]\n  13 -> 20 [size =\"38519808\"]\n  13 -> 23 [size =\"38519808\"]\n  13 -> 24 [size =\"38519808\"]\n  14 [size=\"136311467\", alpha=\"0.13\", expect_size=\"40893440\"] \n  14 -> 19 [size =\"40893440\"]\n  14 -> 21 [size =\"40893440\"]\n  14 -> 23 [size =\"40893440\"]\n  14 -> 24 [size =\"40893440\"]\n  15 [size=\"166451200\", alpha=\"0.07\", expect_size=\"49935360\"] \n  15 -> 19 [size =\"49935360\"]\n  15 -> 20 [size =\"49935360\"]\n  15 -> 21 [size =\"49935360\"]\n  15 -> 24 [size =\"49935360\"]\n  16 [size=\"163713707\", alpha=\"0.18\", expect_size=\"49114112\"] \n  16 -> 21 [size =\"49114112\"]\n  17 [size=\"29818880\", alpha=\"0.11\", expect_size=\"8945664\"] \n  17 -> 20 [size =\"8945664\"]\n  17 -> 21 [size =\"8945664\"]\n  18 [size=\"148660907\", alpha=\"0.01\", expect_size=\"44598272\"] \n  18 -> 19 [size =\"44598272\"]\n  18 -> 20 [size =\"44598272\"]\n  18 -> 21 [size =\"44598272\"]\n  18 -> 22 [size =\"44598272\"]\n  19 [size=\"30754133\", alpha=\"0.00\", expect_size=\"9226240\"] \n  19 -> 26 [size =\"9226240\"]\n  19 -> 28 [size =\"9226240\"]\n  20 [size=\"87176533\", alpha=\"0.10\", expect_size=\"26152960\"] \n  20 -> 25 [size =\"26152960\"]\n  20 -> 28 [size =\"26152960\"]\n  20 -> 29 [size =\"26152960\"]\n  21 [size=\"152930987\", alpha=\"0.05\", expect_size=\"45879296\"] \n  21 -> 25 [size =\"45879296\"]\n  21 -> 26 [size =\"45879296\"]\n  21 -> 27 [size =\"45879296\"]\n  21 -> 28 [size =\"45879296\"]\n  22 [size=\"87736320\", alpha=\"0.04\", expect_size=\"26320896\"] \n  22 -> 26 [size =\"26320896\"]\n  22 -> 27 [size =\"26320896\"]\n  22 -> 28 [size =\"26320896\"]\n  22 -> 28 [size =\"26320896\"]\n  23 [size=\"18114560\", alpha=\"0.12\", expect_size=\"5434368\"] \n  23 -> 26 [size =\"5434368\"]\n  23 -> 27 [size =\"5434368\"]\n  23 -> 28 [size =\"5434368\"]\n  24 [size=\"131140267\", alpha=\"0.09\", expect_size=\"39342080\"] \n  24 -> 25 [size =\"39342080\"]\n  24 -> 29 [size =\"39342080\"]\n  24 -> 30 [size =\"39342080\"]\n  25 [size=\"74960213\", alpha=\"0.05\", expect_size=\"22488064\"] \n  25 -> 31 [size =\"22488064\"]\n  25 -> 32 [size =\"22488064\"]\n  25 -> 33 [size =\"22488064\"]\n  25 -> 37 [size =\"22488064\"]\n  26 [size=\"130007040\", alpha=\"0.10\", expect_size=\"39002112\"] \n  26 -> 31 [size =\"39002112\"]\n  26 -> 32 [size =\"39002112\"]\n  26 -> 33 [size =\"39002112\"]\n  26 -> 34 [size =\"39002112\"]\n  27 [size=\"111994880\", alpha=\"0.10\", expect_size=\"33598464\"] \n  27 -> 32 [size =\"33598464\"]\n  27 -> 34 [size =\"33598464\"]\n  28 [size=\"38027947\", alpha=\"0.09\", expect_size=\"11408384\"] \n  28 -> 32 [size =\"11408384\"]\n  28 -> 36 [size =\"11408384\"]\n  29 [size=\"47878827\", alpha=\"0.13\", expect_size=\"14363648\"] \n  29 -> 31 [size =\"14363648\"]\n  29 -> 32 [size =\"14363648\"]\n  29 -> 33 [size =\"14363648\"]\n  29 -> 34 [size =\"14363648\"]\n  29 -> 35 [size =\"14363648\"]\n  29 -> 36 [size =\"14363648\"]\n  30 [size=\"49083733\", alpha=\"0.03\", expect_size=\"14725120\"] \n  30 -> 31 [size =\"14725120\"]\n  30 -> 33 [size =\"14725120\"]\n  30 -> 34 [size =\"14725120\"]\n  31 [size=\"131368960\", alpha=\"0.19\", expect_size=\"39410688\"] \n  31 -> 39 [size =\"39410688\"]\n  31 -> 41 [size =\"39410688\"]\n  31 -> 42 [size =\"39410688\"]\n  31 -> 43 [size =\"39410688\"]\n  32 [size=\"166956373\", alpha=\"0.07\", expect_size=\"50086912\"] \n  32 -> 41 [size =\"50086912\"]\n  33 [size=\"44086613\", alpha=\"0.09\", expect_size=\"13225984\"] \n  33 -> 43 [size =\"13225984\"]\n  34 [size=\"138775893\", alpha=\"0.07\", expect_size=\"41632768\"] \n  34 -> 42 [size =\"41632768\"]\n  35 [size=\"53589333\", alpha=\"0.03\", expect_size=\"16076800\"] \n  35 -> 38 [size =\"16076800\"]\n  35 -> 40 [size =\"16076800\"]\n  35 -> 41 [size =\"16076800\"]\n  35 -> 42 [size =\"16076800\"]\n  36 [size=\"92965547\", alpha=\"0.18\", expect_size=\"27889664\"] \n  36 -> 41 [size =\"27889664\"]\n  36 -> 43 [size =\"27889664\"]\n  37 [size=\"168284160\", alpha=\"0.15\", expect_size=\"50485248\"] \n  37 -> 40 [size =\"50485248\"]\n  37 -> 41 [size =\"50485248\"]\n  38 [size=\"93300053\", alpha=\"0.08\", expect_size=\"27990016\"] \n  38 -> 44 [size =\"27990016\"]\n  38 -> 47 [size =\"27990016\"]\n  38 -> 49 [size =\"27990016\"]\n  38 -> 50 [size =\"27990016\"]\n  39 [size=\"165403307\", alpha=\"0.03\", expect_size=\"49620992\"] \n  39 -> 44 [size =\"49620992\"]\n  39 -> 45 [size =\"49620992\"]\n  39 -> 47 [size =\"49620992\"]\n  39 -> 48 [size =\"49620992\"]\n  39 -> 50 [size =\"49620992\"]\n  40 [size=\"111223467\", alpha=\"0.07\", expect_size=\"33367040\"] \n  40 -> 44 [size =\"33367040\"]\n  40 -> 48 [size =\"33367040\"]\n  40 -> 50 [size =\"33367040\"]\n  41 [size=\"135526400\", alpha=\"0.08\", expect_size=\"40657920\"] \n  41 -> 44 [size =\"40657920\"]\n  41 -> 46 [size =\"40657920\"]\n  41 -> 49 [size =\"40657920\"]\n  41 -> 50 [size =\"40657920\"]\n  42 [size=\"125760853\", alpha=\"0.18\", expect_size=\"37728256\"] \n  42 -> 44 [size =\"37728256\"]\n  42 -> 45 [size =\"37728256\"]\n  42 -> 47 [size =\"37728256\"]\n  42 -> 48 [size =\"37728256\"]\n  42 -> 50 [size =\"37728256\"]\n  43 [size=\"23886507\", alpha=\"0.08\", expect_size=\"7165952\"] \n  43 -> 45 [size =\"7165952\"]\n  43 -> 47 [size =\"7165952\"]\n  43 -> 48 [size =\"7165952\"]\n  43 -> 50 [size =\"7165952\"]\n  44 [size=\"98112853\", alpha=\"0.13\", expect_size=\"29433856\"] \n  45 [size=\"152709120\", alpha=\"0.05\", expect_size=\"45812736\"] \n  46 [size=\"22070613\", alpha=\"0.11\", expect_size=\"6621184\"] \n  47 [size=\"167014400\", alpha=\"0.09\", expect_size=\"50104320\"] \n  48 [size=\"128027307\", alpha=\"0.10\", expect_size=\"38408192\"] \n  49 [size=\"36290560\", alpha=\"0.14\", expect_size=\"10887168\"] \n  50 [size=\"62371840\", alpha=\"0.03\", expect_size=\"18711552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.650.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44916736\", alpha=\"0.06\", expect_size=\"22458368\"] \n  1 -> 2 [size =\"22458368\"]\n  2 [size=\"77731840\", alpha=\"0.12\", expect_size=\"38865920\"] \n  2 -> 3 [size =\"38865920\"]\n  3 [size=\"69316608\", alpha=\"0.11\", expect_size=\"34658304\"] \n  3 -> 4 [size =\"34658304\"]\n  4 [size=\"83501056\", alpha=\"0.07\", expect_size=\"41750528\"] \n  4 -> 5 [size =\"41750528\"]\n  5 [size=\"14929920\", alpha=\"0.15\", expect_size=\"7464960\"] \n  5 -> 6 [size =\"7464960\"]\n  6 [size=\"14606336\", alpha=\"0.05\", expect_size=\"7303168\"] \n  6 -> 7 [size =\"7303168\"]\n  7 [size=\"39106560\", alpha=\"0.01\", expect_size=\"19553280\"] \n  7 -> 8 [size =\"19553280\"]\n  8 [size=\"39686144\", alpha=\"0.15\", expect_size=\"19843072\"] \n  8 -> 9 [size =\"19843072\"]\n  9 [size=\"70066176\", alpha=\"0.10\", expect_size=\"35033088\"] \n  9 -> 10 [size =\"35033088\"]\n  10 [size=\"49315840\", alpha=\"0.04\", expect_size=\"24657920\"] \n  10 -> 11 [size =\"24657920\"]\n  11 [size=\"74358784\", alpha=\"0.01\", expect_size=\"37179392\"] \n  11 -> 12 [size =\"37179392\"]\n  12 [size=\"101488640\", alpha=\"0.03\", expect_size=\"50744320\"] \n  12 -> 13 [size =\"50744320\"]\n  13 [size=\"65796096\", alpha=\"0.02\", expect_size=\"32898048\"] \n  13 -> 14 [size =\"32898048\"]\n  14 [size=\"23357440\", alpha=\"0.10\", expect_size=\"11678720\"] \n  14 -> 15 [size =\"11678720\"]\n  15 [size=\"57556992\", alpha=\"0.14\", expect_size=\"28778496\"] \n  15 -> 16 [size =\"28778496\"]\n  16 [size=\"36286464\", alpha=\"0.09\", expect_size=\"18143232\"] \n  16 -> 17 [size =\"18143232\"]\n  17 [size=\"62189568\", alpha=\"0.04\", expect_size=\"31094784\"] \n  17 -> 18 [size =\"31094784\"]\n  18 [size=\"66324480\", alpha=\"0.19\", expect_size=\"33162240\"] \n  18 -> 19 [size =\"33162240\"]\n  19 [size=\"44908544\", alpha=\"0.12\", expect_size=\"22454272\"] \n  19 -> 20 [size =\"22454272\"]\n  20 [size=\"90660864\", alpha=\"0.15\", expect_size=\"45330432\"] \n  20 -> 21 [size =\"45330432\"]\n  21 [size=\"17121280\", alpha=\"0.06\", expect_size=\"8560640\"] \n  21 -> 22 [size =\"8560640\"]\n  22 [size=\"20719616\", alpha=\"0.10\", expect_size=\"10359808\"] \n  22 -> 23 [size =\"10359808\"]\n  23 [size=\"33779712\", alpha=\"0.08\", expect_size=\"16889856\"] \n  23 -> 24 [size =\"16889856\"]\n  24 [size=\"43689984\", alpha=\"0.01\", expect_size=\"21844992\"] \n  24 -> 25 [size =\"21844992\"]\n  25 [size=\"91314176\", alpha=\"0.14\", expect_size=\"45657088\"] \n  25 -> 26 [size =\"45657088\"]\n  26 [size=\"60743680\", alpha=\"0.09\", expect_size=\"30371840\"] \n  26 -> 27 [size =\"30371840\"]\n  27 [size=\"102041600\", alpha=\"0.10\", expect_size=\"51020800\"] \n  27 -> 28 [size =\"51020800\"]\n  28 [size=\"27207680\", alpha=\"0.17\", expect_size=\"13603840\"] \n  28 -> 29 [size =\"13603840\"]\n  29 [size=\"21755904\", alpha=\"0.16\", expect_size=\"10877952\"] \n  29 -> 30 [size =\"10877952\"]\n  30 [size=\"76113920\", alpha=\"0.04\", expect_size=\"38056960\"] \n  30 -> 31 [size =\"38056960\"]\n  31 [size=\"51867648\", alpha=\"0.05\", expect_size=\"25933824\"] \n  31 -> 32 [size =\"25933824\"]\n  32 [size=\"77824000\", alpha=\"0.06\", expect_size=\"38912000\"] \n  32 -> 33 [size =\"38912000\"]\n  33 [size=\"32485376\", alpha=\"0.18\", expect_size=\"16242688\"] \n  33 -> 34 [size =\"16242688\"]\n  34 [size=\"69056512\", alpha=\"0.13\", expect_size=\"34528256\"] \n  34 -> 35 [size =\"34528256\"]\n  35 [size=\"71809024\", alpha=\"0.18\", expect_size=\"35904512\"] \n  35 -> 36 [size =\"35904512\"]\n  36 [size=\"45189120\", alpha=\"0.09\", expect_size=\"22594560\"] \n  36 -> 37 [size =\"22594560\"]\n  37 [size=\"87689216\", alpha=\"0.10\", expect_size=\"43844608\"] \n  37 -> 38 [size =\"43844608\"]\n  38 [size=\"39188480\", alpha=\"0.03\", expect_size=\"19594240\"] \n  38 -> 39 [size =\"19594240\"]\n  39 [size=\"23259136\", alpha=\"0.04\", expect_size=\"11629568\"] \n  39 -> 40 [size =\"11629568\"]\n  40 [size=\"99479552\", alpha=\"0.01\", expect_size=\"49739776\"] \n  40 -> 41 [size =\"49739776\"]\n  41 [size=\"23570432\", alpha=\"0.00\", expect_size=\"11785216\"] \n  41 -> 42 [size =\"11785216\"]\n  42 [size=\"48144384\", alpha=\"0.02\", expect_size=\"24072192\"] \n  42 -> 43 [size =\"24072192\"]\n  43 [size=\"75464704\", alpha=\"0.08\", expect_size=\"37732352\"] \n  43 -> 44 [size =\"37732352\"]\n  44 [size=\"66469888\", alpha=\"0.01\", expect_size=\"33234944\"] \n  44 -> 45 [size =\"33234944\"]\n  45 [size=\"34031616\", alpha=\"0.11\", expect_size=\"17015808\"] \n  45 -> 46 [size =\"17015808\"]\n  46 [size=\"25223168\", alpha=\"0.12\", expect_size=\"12611584\"] \n  46 -> 47 [size =\"12611584\"]\n  47 [size=\"65847296\", alpha=\"0.12\", expect_size=\"32923648\"] \n  47 -> 48 [size =\"32923648\"]\n  48 [size=\"18864128\", alpha=\"0.16\", expect_size=\"9432064\"] \n  48 -> 49 [size =\"9432064\"]\n  49 [size=\"34484224\", alpha=\"0.02\", expect_size=\"17242112\"] \n  49 -> 50 [size =\"17242112\"]\n  50 [size=\"52760576\", alpha=\"0.02\", expect_size=\"26380288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.651.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56396800\", alpha=\"0.14\", expect_size=\"22558720\"] \n  1 -> 3 [size =\"22558720\"]\n  1 -> 4 [size =\"22558720\"]\n  2 [size=\"27942400\", alpha=\"0.00\", expect_size=\"11176960\"] \n  2 -> 5 [size =\"11176960\"]\n  3 [size=\"106124800\", alpha=\"0.16\", expect_size=\"42449920\"] \n  3 -> 6 [size =\"42449920\"]\n  3 -> 7 [size =\"42449920\"]\n  4 [size=\"109171200\", alpha=\"0.11\", expect_size=\"43668480\"] \n  4 -> 6 [size =\"43668480\"]\n  5 [size=\"17669120\", alpha=\"0.04\", expect_size=\"7067648\"] \n  6 [size=\"41848320\", alpha=\"0.18\", expect_size=\"16739328\"] \n  7 [size=\"45227520\", alpha=\"0.08\", expect_size=\"18091008\"] \n  7 -> 8 [size =\"18091008\"]\n  7 -> 9 [size =\"18091008\"]\n  8 [size=\"31009280\", alpha=\"0.07\", expect_size=\"12403712\"] \n  8 -> 10 [size =\"12403712\"]\n  8 -> 11 [size =\"12403712\"]\n  8 -> 12 [size =\"12403712\"]\n  9 [size=\"123287040\", alpha=\"0.18\", expect_size=\"49314816\"] \n  10 [size=\"60014080\", alpha=\"0.18\", expect_size=\"24005632\"] \n  10 -> 13 [size =\"24005632\"]\n  11 [size=\"124858880\", alpha=\"0.00\", expect_size=\"49943552\"] \n  12 [size=\"92055040\", alpha=\"0.15\", expect_size=\"36822016\"] \n  13 [size=\"94318080\", alpha=\"0.12\", expect_size=\"37727232\"] \n  13 -> 14 [size =\"37727232\"]\n  13 -> 15 [size =\"37727232\"]\n  14 [size=\"68101120\", alpha=\"0.19\", expect_size=\"27240448\"] \n  14 -> 16 [size =\"27240448\"]\n  14 -> 17 [size =\"27240448\"]\n  14 -> 18 [size =\"27240448\"]\n  15 [size=\"14988800\", alpha=\"0.12\", expect_size=\"5995520\"] \n  16 [size=\"39889920\", alpha=\"0.12\", expect_size=\"15955968\"] \n  17 [size=\"27274240\", alpha=\"0.02\", expect_size=\"10909696\"] \n  17 -> 19 [size =\"10909696\"]\n  17 -> 20 [size =\"10909696\"]\n  17 -> 21 [size =\"10909696\"]\n  18 [size=\"73891840\", alpha=\"0.20\", expect_size=\"29556736\"] \n  18 -> 19 [size =\"29556736\"]\n  18 -> 22 [size =\"29556736\"]\n  19 [size=\"116976640\", alpha=\"0.10\", expect_size=\"46790656\"] \n  20 [size=\"104389120\", alpha=\"0.18\", expect_size=\"41755648\"] \n  20 -> 23 [size =\"41755648\"]\n  20 -> 24 [size =\"41755648\"]\n  21 [size=\"90373120\", alpha=\"0.13\", expect_size=\"36149248\"] \n  21 -> 24 [size =\"36149248\"]\n  22 [size=\"93263360\", alpha=\"0.11\", expect_size=\"37305344\"] \n  22 -> 23 [size =\"37305344\"]\n  23 [size=\"65387520\", alpha=\"0.05\", expect_size=\"26155008\"] \n  23 -> 26 [size =\"26155008\"]\n  23 -> 27 [size =\"26155008\"]\n  24 [size=\"20157440\", alpha=\"0.14\", expect_size=\"8062976\"] \n  24 -> 25 [size =\"8062976\"]\n  24 -> 28 [size =\"8062976\"]\n  25 [size=\"130165760\", alpha=\"0.05\", expect_size=\"52066304\"] \n  26 [size=\"81244160\", alpha=\"0.00\", expect_size=\"32497664\"] \n  26 -> 29 [size =\"32497664\"]\n  27 [size=\"33820160\", alpha=\"0.01\", expect_size=\"13528064\"] \n  27 -> 30 [size =\"13528064\"]\n  27 -> 31 [size =\"13528064\"]\n  28 [size=\"44674560\", alpha=\"0.05\", expect_size=\"17869824\"] \n  29 [size=\"44431360\", alpha=\"0.08\", expect_size=\"17772544\"] \n  29 -> 33 [size =\"17772544\"]\n  29 -> 34 [size =\"17772544\"]\n  30 [size=\"105533440\", alpha=\"0.18\", expect_size=\"42213376\"] \n  31 [size=\"95029760\", alpha=\"0.08\", expect_size=\"38011904\"] \n  31 -> 32 [size =\"38011904\"]\n  31 -> 34 [size =\"38011904\"]\n  32 [size=\"56212480\", alpha=\"0.11\", expect_size=\"22484992\"] \n  32 -> 35 [size =\"22484992\"]\n  32 -> 36 [size =\"22484992\"]\n  32 -> 37 [size =\"22484992\"]\n  33 [size=\"121881600\", alpha=\"0.07\", expect_size=\"48752640\"] \n  33 -> 36 [size =\"48752640\"]\n  34 [size=\"31162880\", alpha=\"0.13\", expect_size=\"12465152\"] \n  35 [size=\"116049920\", alpha=\"0.19\", expect_size=\"46419968\"] \n  36 [size=\"27210240\", alpha=\"0.10\", expect_size=\"10884096\"] \n  36 -> 39 [size =\"10884096\"]\n  37 [size=\"29322240\", alpha=\"0.04\", expect_size=\"11728896\"] \n  37 -> 38 [size =\"11728896\"]\n  37 -> 39 [size =\"11728896\"]\n  38 [size=\"36536320\", alpha=\"0.07\", expect_size=\"14614528\"] \n  38 -> 40 [size =\"14614528\"]\n  38 -> 41 [size =\"14614528\"]\n  38 -> 43 [size =\"14614528\"]\n  39 [size=\"66762240\", alpha=\"0.08\", expect_size=\"26704896\"] \n  39 -> 42 [size =\"26704896\"]\n  40 [size=\"112212480\", alpha=\"0.05\", expect_size=\"44884992\"] \n  40 -> 45 [size =\"44884992\"]\n  41 [size=\"101836800\", alpha=\"0.14\", expect_size=\"40734720\"] \n  41 -> 44 [size =\"40734720\"]\n  41 -> 46 [size =\"40734720\"]\n  42 [size=\"29416960\", alpha=\"0.18\", expect_size=\"11766784\"] \n  42 -> 44 [size =\"11766784\"]\n  42 -> 46 [size =\"11766784\"]\n  43 [size=\"91870720\", alpha=\"0.10\", expect_size=\"36748288\"] \n  43 -> 45 [size =\"36748288\"]\n  43 -> 47 [size =\"36748288\"]\n  44 [size=\"16512000\", alpha=\"0.03\", expect_size=\"6604800\"] \n  44 -> 49 [size =\"6604800\"]\n  44 -> 50 [size =\"6604800\"]\n  45 [size=\"94264320\", alpha=\"0.17\", expect_size=\"37705728\"] \n  45 -> 48 [size =\"37705728\"]\n  46 [size=\"91087360\", alpha=\"0.01\", expect_size=\"36434944\"] \n  46 -> 48 [size =\"36434944\"]\n  46 -> 49 [size =\"36434944\"]\n  47 [size=\"33758720\", alpha=\"0.10\", expect_size=\"13503488\"] \n  48 [size=\"54412800\", alpha=\"0.03\", expect_size=\"21765120\"] \n  49 [size=\"95877120\", alpha=\"0.02\", expect_size=\"38350848\"] \n  50 [size=\"26088960\", alpha=\"0.17\", expect_size=\"10435584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.652.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19220480\", alpha=\"0.14\", expect_size=\"7688192\"] \n  1 -> 18 [size =\"7688192\"]\n  1 -> 19 [size =\"7688192\"]\n  1 -> 21 [size =\"7688192\"]\n  1 -> 22 [size =\"7688192\"]\n  1 -> 23 [size =\"7688192\"]\n  1 -> 29 [size =\"7688192\"]\n  1 -> 30 [size =\"7688192\"]\n  2 [size=\"24215040\", alpha=\"0.12\", expect_size=\"9686016\"] \n  2 -> 18 [size =\"9686016\"]\n  2 -> 19 [size =\"9686016\"]\n  2 -> 20 [size =\"9686016\"]\n  2 -> 21 [size =\"9686016\"]\n  2 -> 22 [size =\"9686016\"]\n  2 -> 24 [size =\"9686016\"]\n  2 -> 26 [size =\"9686016\"]\n  2 -> 29 [size =\"9686016\"]\n  3 [size=\"130035200\", alpha=\"0.18\", expect_size=\"52014080\"] \n  3 -> 19 [size =\"52014080\"]\n  3 -> 20 [size =\"52014080\"]\n  4 [size=\"87900160\", alpha=\"0.06\", expect_size=\"35160064\"] \n  4 -> 19 [size =\"35160064\"]\n  4 -> 20 [size =\"35160064\"]\n  5 [size=\"54842880\", alpha=\"0.15\", expect_size=\"21937152\"] \n  5 -> 17 [size =\"21937152\"]\n  5 -> 19 [size =\"21937152\"]\n  5 -> 20 [size =\"21937152\"]\n  5 -> 28 [size =\"21937152\"]\n  5 -> 29 [size =\"21937152\"]\n  5 -> 30 [size =\"21937152\"]\n  6 [size=\"68528640\", alpha=\"0.15\", expect_size=\"27411456\"] \n  6 -> 18 [size =\"27411456\"]\n  6 -> 19 [size =\"27411456\"]\n  6 -> 20 [size =\"27411456\"]\n  6 -> 23 [size =\"27411456\"]\n  6 -> 24 [size =\"27411456\"]\n  6 -> 25 [size =\"27411456\"]\n  6 -> 26 [size =\"27411456\"]\n  6 -> 28 [size =\"27411456\"]\n  6 -> 30 [size =\"27411456\"]\n  6 -> 31 [size =\"27411456\"]\n  7 [size=\"89525760\", alpha=\"0.15\", expect_size=\"35810304\"] \n  7 -> 17 [size =\"35810304\"]\n  7 -> 18 [size =\"35810304\"]\n  7 -> 23 [size =\"35810304\"]\n  7 -> 24 [size =\"35810304\"]\n  7 -> 29 [size =\"35810304\"]\n  7 -> 31 [size =\"35810304\"]\n  8 [size=\"50204160\", alpha=\"0.14\", expect_size=\"20081664\"] \n  8 -> 16 [size =\"20081664\"]\n  8 -> 18 [size =\"20081664\"]\n  8 -> 22 [size =\"20081664\"]\n  8 -> 23 [size =\"20081664\"]\n  8 -> 29 [size =\"20081664\"]\n  8 -> 31 [size =\"20081664\"]\n  9 [size=\"13578240\", alpha=\"0.05\", expect_size=\"5431296\"] \n  9 -> 18 [size =\"5431296\"]\n  9 -> 18 [size =\"5431296\"]\n  9 -> 20 [size =\"5431296\"]\n  9 -> 22 [size =\"5431296\"]\n  9 -> 28 [size =\"5431296\"]\n  9 -> 30 [size =\"5431296\"]\n  10 [size=\"78848000\", alpha=\"0.12\", expect_size=\"31539200\"] \n  10 -> 16 [size =\"31539200\"]\n  10 -> 17 [size =\"31539200\"]\n  10 -> 18 [size =\"31539200\"]\n  10 -> 20 [size =\"31539200\"]\n  10 -> 22 [size =\"31539200\"]\n  10 -> 26 [size =\"31539200\"]\n  11 [size=\"78822400\", alpha=\"0.01\", expect_size=\"31528960\"] \n  11 -> 16 [size =\"31528960\"]\n  11 -> 17 [size =\"31528960\"]\n  11 -> 19 [size =\"31528960\"]\n  11 -> 20 [size =\"31528960\"]\n  11 -> 24 [size =\"31528960\"]\n  11 -> 26 [size =\"31528960\"]\n  11 -> 27 [size =\"31528960\"]\n  11 -> 28 [size =\"31528960\"]\n  11 -> 29 [size =\"31528960\"]\n  12 [size=\"43768320\", alpha=\"0.11\", expect_size=\"17507328\"] \n  12 -> 16 [size =\"17507328\"]\n  12 -> 18 [size =\"17507328\"]\n  12 -> 19 [size =\"17507328\"]\n  12 -> 20 [size =\"17507328\"]\n  12 -> 25 [size =\"17507328\"]\n  12 -> 26 [size =\"17507328\"]\n  12 -> 29 [size =\"17507328\"]\n  12 -> 30 [size =\"17507328\"]\n  13 [size=\"112245760\", alpha=\"0.13\", expect_size=\"44898304\"] \n  13 -> 16 [size =\"44898304\"]\n  13 -> 20 [size =\"44898304\"]\n  13 -> 23 [size =\"44898304\"]\n  13 -> 24 [size =\"44898304\"]\n  13 -> 25 [size =\"44898304\"]\n  13 -> 26 [size =\"44898304\"]\n  13 -> 29 [size =\"44898304\"]\n  13 -> 30 [size =\"44898304\"]\n  14 [size=\"102318080\", alpha=\"0.02\", expect_size=\"40927232\"] \n  14 -> 16 [size =\"40927232\"]\n  14 -> 19 [size =\"40927232\"]\n  14 -> 20 [size =\"40927232\"]\n  14 -> 21 [size =\"40927232\"]\n  14 -> 22 [size =\"40927232\"]\n  14 -> 23 [size =\"40927232\"]\n  14 -> 26 [size =\"40927232\"]\n  14 -> 27 [size =\"40927232\"]\n  14 -> 29 [size =\"40927232\"]\n  14 -> 30 [size =\"40927232\"]\n  15 [size=\"18698240\", alpha=\"0.04\", expect_size=\"7479296\"] \n  15 -> 16 [size =\"7479296\"]\n  15 -> 18 [size =\"7479296\"]\n  15 -> 19 [size =\"7479296\"]\n  15 -> 23 [size =\"7479296\"]\n  15 -> 24 [size =\"7479296\"]\n  15 -> 26 [size =\"7479296\"]\n  15 -> 26 [size =\"7479296\"]\n  15 -> 28 [size =\"7479296\"]\n  15 -> 29 [size =\"7479296\"]\n  15 -> 31 [size =\"7479296\"]\n  16 [size=\"107435520\", alpha=\"0.01\", expect_size=\"42974208\"] \n  16 -> 32 [size =\"42974208\"]\n  16 -> 39 [size =\"42974208\"]\n  16 -> 40 [size =\"42974208\"]\n  16 -> 41 [size =\"42974208\"]\n  16 -> 43 [size =\"42974208\"]\n  16 -> 44 [size =\"42974208\"]\n  17 [size=\"75939840\", alpha=\"0.06\", expect_size=\"30375936\"] \n  17 -> 32 [size =\"30375936\"]\n  17 -> 41 [size =\"30375936\"]\n  17 -> 43 [size =\"30375936\"]\n  17 -> 44 [size =\"30375936\"]\n  18 [size=\"46036480\", alpha=\"0.00\", expect_size=\"18414592\"] \n  18 -> 32 [size =\"18414592\"]\n  18 -> 38 [size =\"18414592\"]\n  18 -> 41 [size =\"18414592\"]\n  18 -> 44 [size =\"18414592\"]\n  19 [size=\"129105920\", alpha=\"0.04\", expect_size=\"51642368\"] \n  19 -> 32 [size =\"51642368\"]\n  19 -> 33 [size =\"51642368\"]\n  19 -> 36 [size =\"51642368\"]\n  19 -> 38 [size =\"51642368\"]\n  19 -> 39 [size =\"51642368\"]\n  19 -> 41 [size =\"51642368\"]\n  19 -> 45 [size =\"51642368\"]\n  20 [size=\"42964480\", alpha=\"0.08\", expect_size=\"17185792\"] \n  20 -> 32 [size =\"17185792\"]\n  20 -> 35 [size =\"17185792\"]\n  20 -> 36 [size =\"17185792\"]\n  20 -> 37 [size =\"17185792\"]\n  20 -> 38 [size =\"17185792\"]\n  20 -> 39 [size =\"17185792\"]\n  20 -> 43 [size =\"17185792\"]\n  20 -> 45 [size =\"17185792\"]\n  21 [size=\"111426560\", alpha=\"0.12\", expect_size=\"44570624\"] \n  21 -> 33 [size =\"44570624\"]\n  21 -> 36 [size =\"44570624\"]\n  21 -> 38 [size =\"44570624\"]\n  21 -> 43 [size =\"44570624\"]\n  21 -> 45 [size =\"44570624\"]\n  22 [size=\"117470720\", alpha=\"0.18\", expect_size=\"46988288\"] \n  22 -> 33 [size =\"46988288\"]\n  22 -> 38 [size =\"46988288\"]\n  22 -> 38 [size =\"46988288\"]\n  23 [size=\"63516160\", alpha=\"0.05\", expect_size=\"25406464\"] \n  23 -> 33 [size =\"25406464\"]\n  23 -> 41 [size =\"25406464\"]\n  23 -> 45 [size =\"25406464\"]\n  24 [size=\"22231040\", alpha=\"0.04\", expect_size=\"8892416\"] \n  24 -> 33 [size =\"8892416\"]\n  24 -> 34 [size =\"8892416\"]\n  24 -> 38 [size =\"8892416\"]\n  24 -> 39 [size =\"8892416\"]\n  24 -> 41 [size =\"8892416\"]\n  24 -> 42 [size =\"8892416\"]\n  24 -> 45 [size =\"8892416\"]\n  25 [size=\"33884160\", alpha=\"0.09\", expect_size=\"13553664\"] \n  25 -> 33 [size =\"13553664\"]\n  25 -> 38 [size =\"13553664\"]\n  25 -> 39 [size =\"13553664\"]\n  25 -> 41 [size =\"13553664\"]\n  25 -> 41 [size =\"13553664\"]\n  25 -> 44 [size =\"13553664\"]\n  25 -> 45 [size =\"13553664\"]\n  26 [size=\"55068160\", alpha=\"0.05\", expect_size=\"22027264\"] \n  26 -> 34 [size =\"22027264\"]\n  26 -> 36 [size =\"22027264\"]\n  26 -> 39 [size =\"22027264\"]\n  26 -> 41 [size =\"22027264\"]\n  26 -> 44 [size =\"22027264\"]\n  27 [size=\"60922880\", alpha=\"0.13\", expect_size=\"24369152\"] \n  27 -> 34 [size =\"24369152\"]\n  27 -> 39 [size =\"24369152\"]\n  27 -> 40 [size =\"24369152\"]\n  27 -> 44 [size =\"24369152\"]\n  27 -> 45 [size =\"24369152\"]\n  28 [size=\"98140160\", alpha=\"0.08\", expect_size=\"39256064\"] \n  28 -> 32 [size =\"39256064\"]\n  28 -> 36 [size =\"39256064\"]\n  28 -> 38 [size =\"39256064\"]\n  28 -> 39 [size =\"39256064\"]\n  28 -> 40 [size =\"39256064\"]\n  28 -> 41 [size =\"39256064\"]\n  28 -> 44 [size =\"39256064\"]\n  28 -> 45 [size =\"39256064\"]\n  29 [size=\"100303360\", alpha=\"0.02\", expect_size=\"40121344\"] \n  29 -> 38 [size =\"40121344\"]\n  29 -> 39 [size =\"40121344\"]\n  29 -> 44 [size =\"40121344\"]\n  29 -> 45 [size =\"40121344\"]\n  30 [size=\"124218880\", alpha=\"0.08\", expect_size=\"49687552\"] \n  30 -> 32 [size =\"49687552\"]\n  30 -> 38 [size =\"49687552\"]\n  30 -> 39 [size =\"49687552\"]\n  30 -> 40 [size =\"49687552\"]\n  30 -> 43 [size =\"49687552\"]\n  30 -> 44 [size =\"49687552\"]\n  30 -> 45 [size =\"49687552\"]\n  31 [size=\"50629120\", alpha=\"0.05\", expect_size=\"20251648\"] \n  31 -> 32 [size =\"20251648\"]\n  31 -> 36 [size =\"20251648\"]\n  31 -> 39 [size =\"20251648\"]\n  31 -> 41 [size =\"20251648\"]\n  31 -> 43 [size =\"20251648\"]\n  31 -> 44 [size =\"20251648\"]\n  32 [size=\"121574400\", alpha=\"0.07\", expect_size=\"48629760\"] \n  32 -> 46 [size =\"48629760\"]\n  32 -> 50 [size =\"48629760\"]\n  33 [size=\"112238080\", alpha=\"0.06\", expect_size=\"44895232\"] \n  33 -> 47 [size =\"44895232\"]\n  33 -> 48 [size =\"44895232\"]\n  33 -> 50 [size =\"44895232\"]\n  34 [size=\"21583360\", alpha=\"0.01\", expect_size=\"8633344\"] \n  34 -> 48 [size =\"8633344\"]\n  34 -> 49 [size =\"8633344\"]\n  34 -> 50 [size =\"8633344\"]\n  35 [size=\"42370560\", alpha=\"0.16\", expect_size=\"16948224\"] \n  36 [size=\"98370560\", alpha=\"0.07\", expect_size=\"39348224\"] \n  37 [size=\"127042560\", alpha=\"0.08\", expect_size=\"50817024\"] \n  37 -> 47 [size =\"50817024\"]\n  37 -> 50 [size =\"50817024\"]\n  38 [size=\"86835200\", alpha=\"0.16\", expect_size=\"34734080\"] \n  38 -> 47 [size =\"34734080\"]\n  39 [size=\"14853120\", alpha=\"0.03\", expect_size=\"5941248\"] \n  39 -> 47 [size =\"5941248\"]\n  39 -> 50 [size =\"5941248\"]\n  40 [size=\"29532160\", alpha=\"0.15\", expect_size=\"11812864\"] \n  40 -> 47 [size =\"11812864\"]\n  41 [size=\"78645760\", alpha=\"0.03\", expect_size=\"31458304\"] \n  41 -> 46 [size =\"31458304\"]\n  41 -> 47 [size =\"31458304\"]\n  42 [size=\"109949440\", alpha=\"0.10\", expect_size=\"43979776\"] \n  42 -> 50 [size =\"43979776\"]\n  43 [size=\"36136960\", alpha=\"0.05\", expect_size=\"14454784\"] \n  43 -> 47 [size =\"14454784\"]\n  44 [size=\"74319360\", alpha=\"0.01\", expect_size=\"29727744\"] \n  44 -> 47 [size =\"29727744\"]\n  44 -> 50 [size =\"29727744\"]\n  45 [size=\"77775360\", alpha=\"0.01\", expect_size=\"31110144\"] \n  45 -> 47 [size =\"31110144\"]\n  45 -> 50 [size =\"31110144\"]\n  46 [size=\"52098560\", alpha=\"0.08\", expect_size=\"20839424\"] \n  47 [size=\"91619840\", alpha=\"0.03\", expect_size=\"36647936\"] \n  48 [size=\"23242240\", alpha=\"0.13\", expect_size=\"9296896\"] \n  49 [size=\"115824640\", alpha=\"0.18\", expect_size=\"46329856\"] \n  50 [size=\"13511680\", alpha=\"0.01\", expect_size=\"5404672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.653.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"160986453\", alpha=\"0.08\", expect_size=\"48295936\"] \n  1 -> 35 [size =\"48295936\"]\n  1 -> 36 [size =\"48295936\"]\n  2 [size=\"81704960\", alpha=\"0.14\", expect_size=\"24511488\"] \n  2 -> 35 [size =\"24511488\"]\n  2 -> 38 [size =\"24511488\"]\n  2 -> 44 [size =\"24511488\"]\n  2 -> 45 [size =\"24511488\"]\n  3 [size=\"111441920\", alpha=\"0.10\", expect_size=\"33432576\"] \n  3 -> 34 [size =\"33432576\"]\n  3 -> 36 [size =\"33432576\"]\n  3 -> 39 [size =\"33432576\"]\n  3 -> 42 [size =\"33432576\"]\n  3 -> 49 [size =\"33432576\"]\n  4 [size=\"163024213\", alpha=\"0.15\", expect_size=\"48907264\"] \n  4 -> 34 [size =\"48907264\"]\n  4 -> 35 [size =\"48907264\"]\n  4 -> 38 [size =\"48907264\"]\n  4 -> 39 [size =\"48907264\"]\n  4 -> 42 [size =\"48907264\"]\n  4 -> 48 [size =\"48907264\"]\n  5 [size=\"162983253\", alpha=\"0.14\", expect_size=\"48894976\"] \n  5 -> 34 [size =\"48894976\"]\n  5 -> 35 [size =\"48894976\"]\n  5 -> 37 [size =\"48894976\"]\n  5 -> 39 [size =\"48894976\"]\n  5 -> 41 [size =\"48894976\"]\n  5 -> 45 [size =\"48894976\"]\n  5 -> 47 [size =\"48894976\"]\n  5 -> 49 [size =\"48894976\"]\n  6 [size=\"112059733\", alpha=\"0.06\", expect_size=\"33617920\"] \n  6 -> 37 [size =\"33617920\"]\n  6 -> 38 [size =\"33617920\"]\n  6 -> 39 [size =\"33617920\"]\n  6 -> 49 [size =\"33617920\"]\n  7 [size=\"18339840\", alpha=\"0.11\", expect_size=\"5501952\"] \n  7 -> 37 [size =\"5501952\"]\n  7 -> 39 [size =\"5501952\"]\n  7 -> 44 [size =\"5501952\"]\n  7 -> 45 [size =\"5501952\"]\n  7 -> 48 [size =\"5501952\"]\n  7 -> 50 [size =\"5501952\"]\n  8 [size=\"95699627\", alpha=\"0.15\", expect_size=\"28709888\"] \n  8 -> 34 [size =\"28709888\"]\n  8 -> 36 [size =\"28709888\"]\n  8 -> 37 [size =\"28709888\"]\n  8 -> 49 [size =\"28709888\"]\n  8 -> 50 [size =\"28709888\"]\n  9 [size=\"113428480\", alpha=\"0.04\", expect_size=\"34028544\"] \n  9 -> 34 [size =\"34028544\"]\n  9 -> 36 [size =\"34028544\"]\n  9 -> 37 [size =\"34028544\"]\n  9 -> 39 [size =\"34028544\"]\n  9 -> 43 [size =\"34028544\"]\n  10 [size=\"142974293\", alpha=\"0.09\", expect_size=\"42892288\"] \n  10 -> 34 [size =\"42892288\"]\n  10 -> 37 [size =\"42892288\"]\n  10 -> 41 [size =\"42892288\"]\n  11 [size=\"34942293\", alpha=\"0.12\", expect_size=\"10482688\"] \n  11 -> 34 [size =\"10482688\"]\n  11 -> 39 [size =\"10482688\"]\n  11 -> 44 [size =\"10482688\"]\n  11 -> 45 [size =\"10482688\"]\n  11 -> 48 [size =\"10482688\"]\n  11 -> 49 [size =\"10482688\"]\n  11 -> 50 [size =\"10482688\"]\n  12 [size=\"100631893\", alpha=\"0.10\", expect_size=\"30189568\"] \n  12 -> 35 [size =\"30189568\"]\n  12 -> 36 [size =\"30189568\"]\n  12 -> 38 [size =\"30189568\"]\n  12 -> 43 [size =\"30189568\"]\n  12 -> 45 [size =\"30189568\"]\n  12 -> 48 [size =\"30189568\"]\n  12 -> 50 [size =\"30189568\"]\n  13 [size=\"50568533\", alpha=\"0.05\", expect_size=\"15170560\"] \n  13 -> 35 [size =\"15170560\"]\n  13 -> 36 [size =\"15170560\"]\n  13 -> 37 [size =\"15170560\"]\n  13 -> 48 [size =\"15170560\"]\n  13 -> 49 [size =\"15170560\"]\n  14 [size=\"130368853\", alpha=\"0.09\", expect_size=\"39110656\"] \n  14 -> 37 [size =\"39110656\"]\n  14 -> 39 [size =\"39110656\"]\n  14 -> 41 [size =\"39110656\"]\n  14 -> 42 [size =\"39110656\"]\n  14 -> 43 [size =\"39110656\"]\n  14 -> 44 [size =\"39110656\"]\n  14 -> 46 [size =\"39110656\"]\n  14 -> 49 [size =\"39110656\"]\n  15 [size=\"88599893\", alpha=\"0.14\", expect_size=\"26579968\"] \n  15 -> 37 [size =\"26579968\"]\n  15 -> 39 [size =\"26579968\"]\n  16 [size=\"43530240\", alpha=\"0.16\", expect_size=\"13059072\"] \n  16 -> 35 [size =\"13059072\"]\n  16 -> 37 [size =\"13059072\"]\n  16 -> 41 [size =\"13059072\"]\n  16 -> 42 [size =\"13059072\"]\n  16 -> 46 [size =\"13059072\"]\n  17 [size=\"89060693\", alpha=\"0.13\", expect_size=\"26718208\"] \n  17 -> 48 [size =\"26718208\"]\n  18 [size=\"18097493\", alpha=\"0.17\", expect_size=\"5429248\"] \n  18 -> 34 [size =\"5429248\"]\n  18 -> 35 [size =\"5429248\"]\n  18 -> 43 [size =\"5429248\"]\n  18 -> 44 [size =\"5429248\"]\n  18 -> 48 [size =\"5429248\"]\n  18 -> 50 [size =\"5429248\"]\n  19 [size=\"138850987\", alpha=\"0.09\", expect_size=\"41655296\"] \n  19 -> 35 [size =\"41655296\"]\n  19 -> 38 [size =\"41655296\"]\n  19 -> 43 [size =\"41655296\"]\n  19 -> 44 [size =\"41655296\"]\n  19 -> 45 [size =\"41655296\"]\n  19 -> 48 [size =\"41655296\"]\n  19 -> 49 [size =\"41655296\"]\n  20 [size=\"167584427\", alpha=\"0.08\", expect_size=\"50275328\"] \n  20 -> 33 [size =\"50275328\"]\n  20 -> 37 [size =\"50275328\"]\n  20 -> 38 [size =\"50275328\"]\n  20 -> 42 [size =\"50275328\"]\n  20 -> 43 [size =\"50275328\"]\n  20 -> 45 [size =\"50275328\"]\n  20 -> 48 [size =\"50275328\"]\n  20 -> 49 [size =\"50275328\"]\n  21 [size=\"81298773\", alpha=\"0.06\", expect_size=\"24389632\"] \n  21 -> 33 [size =\"24389632\"]\n  21 -> 35 [size =\"24389632\"]\n  21 -> 38 [size =\"24389632\"]\n  21 -> 39 [size =\"24389632\"]\n  21 -> 49 [size =\"24389632\"]\n  22 [size=\"174049280\", alpha=\"0.12\", expect_size=\"52214784\"] \n  22 -> 37 [size =\"52214784\"]\n  22 -> 41 [size =\"52214784\"]\n  22 -> 42 [size =\"52214784\"]\n  22 -> 43 [size =\"52214784\"]\n  22 -> 44 [size =\"52214784\"]\n  22 -> 48 [size =\"52214784\"]\n  22 -> 49 [size =\"52214784\"]\n  22 -> 50 [size =\"52214784\"]\n  23 [size=\"97355093\", alpha=\"0.11\", expect_size=\"29206528\"] \n  23 -> 36 [size =\"29206528\"]\n  23 -> 41 [size =\"29206528\"]\n  23 -> 44 [size =\"29206528\"]\n  23 -> 48 [size =\"29206528\"]\n  23 -> 50 [size =\"29206528\"]\n  24 [size=\"138151253\", alpha=\"0.07\", expect_size=\"41445376\"] \n  24 -> 37 [size =\"41445376\"]\n  24 -> 38 [size =\"41445376\"]\n  24 -> 41 [size =\"41445376\"]\n  24 -> 48 [size =\"41445376\"]\n  24 -> 50 [size =\"41445376\"]\n  25 [size=\"55453013\", alpha=\"0.02\", expect_size=\"16635904\"] \n  25 -> 32 [size =\"16635904\"]\n  25 -> 37 [size =\"16635904\"]\n  25 -> 39 [size =\"16635904\"]\n  25 -> 48 [size =\"16635904\"]\n  25 -> 49 [size =\"16635904\"]\n  26 [size=\"162406400\", alpha=\"0.09\", expect_size=\"48721920\"] \n  26 -> 35 [size =\"48721920\"]\n  26 -> 38 [size =\"48721920\"]\n  26 -> 40 [size =\"48721920\"]\n  26 -> 41 [size =\"48721920\"]\n  26 -> 44 [size =\"48721920\"]\n  27 [size=\"132976640\", alpha=\"0.17\", expect_size=\"39892992\"] \n  27 -> 44 [size =\"39892992\"]\n  27 -> 45 [size =\"39892992\"]\n  27 -> 49 [size =\"39892992\"]\n  28 [size=\"77469013\", alpha=\"0.14\", expect_size=\"23240704\"] \n  28 -> 37 [size =\"23240704\"]\n  28 -> 44 [size =\"23240704\"]\n  28 -> 49 [size =\"23240704\"]\n  29 [size=\"52879360\", alpha=\"0.03\", expect_size=\"15863808\"] \n  29 -> 35 [size =\"15863808\"]\n  29 -> 37 [size =\"15863808\"]\n  30 [size=\"120108373\", alpha=\"0.09\", expect_size=\"36032512\"] \n  30 -> 35 [size =\"36032512\"]\n  30 -> 36 [size =\"36032512\"]\n  30 -> 38 [size =\"36032512\"]\n  30 -> 41 [size =\"36032512\"]\n  30 -> 45 [size =\"36032512\"]\n  30 -> 50 [size =\"36032512\"]\n  31 [size=\"28101973\", alpha=\"0.16\", expect_size=\"8430592\"] \n  31 -> 35 [size =\"8430592\"]\n  31 -> 39 [size =\"8430592\"]\n  31 -> 41 [size =\"8430592\"]\n  31 -> 45 [size =\"8430592\"]\n  32 [size=\"77653333\", alpha=\"0.14\", expect_size=\"23296000\"] \n  33 [size=\"18418347\", alpha=\"0.17\", expect_size=\"5525504\"] \n  34 [size=\"101655893\", alpha=\"0.14\", expect_size=\"30496768\"] \n  35 [size=\"158341120\", alpha=\"0.19\", expect_size=\"47502336\"] \n  36 [size=\"19408213\", alpha=\"0.08\", expect_size=\"5822464\"] \n  37 [size=\"94016853\", alpha=\"0.07\", expect_size=\"28205056\"] \n  38 [size=\"68457813\", alpha=\"0.05\", expect_size=\"20537344\"] \n  39 [size=\"20957867\", alpha=\"0.19\", expect_size=\"6287360\"] \n  40 [size=\"47469227\", alpha=\"0.11\", expect_size=\"14240768\"] \n  41 [size=\"116203520\", alpha=\"0.12\", expect_size=\"34861056\"] \n  42 [size=\"87347200\", alpha=\"0.13\", expect_size=\"26204160\"] \n  43 [size=\"44052480\", alpha=\"0.04\", expect_size=\"13215744\"] \n  44 [size=\"19415040\", alpha=\"0.10\", expect_size=\"5824512\"] \n  45 [size=\"126327467\", alpha=\"0.02\", expect_size=\"37898240\"] \n  46 [size=\"121347413\", alpha=\"0.11\", expect_size=\"36404224\"] \n  47 [size=\"30525440\", alpha=\"0.15\", expect_size=\"9157632\"] \n  48 [size=\"82735787\", alpha=\"0.07\", expect_size=\"24820736\"] \n  49 [size=\"121320107\", alpha=\"0.04\", expect_size=\"36396032\"] \n  50 [size=\"110359893\", alpha=\"0.13\", expect_size=\"33107968\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.654.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42634240\", alpha=\"0.08\", expect_size=\"17053696\"] \n  1 -> 2 [size =\"17053696\"]\n  2 [size=\"38999040\", alpha=\"0.01\", expect_size=\"15599616\"] \n  2 -> 3 [size =\"15599616\"]\n  3 [size=\"67796480\", alpha=\"0.01\", expect_size=\"27118592\"] \n  3 -> 4 [size =\"27118592\"]\n  4 [size=\"113710080\", alpha=\"0.06\", expect_size=\"45484032\"] \n  4 -> 5 [size =\"45484032\"]\n  5 [size=\"40460800\", alpha=\"0.12\", expect_size=\"16184320\"] \n  5 -> 6 [size =\"16184320\"]\n  6 [size=\"59665920\", alpha=\"0.04\", expect_size=\"23866368\"] \n  6 -> 7 [size =\"23866368\"]\n  7 [size=\"96693760\", alpha=\"0.11\", expect_size=\"38677504\"] \n  7 -> 8 [size =\"38677504\"]\n  8 [size=\"124746240\", alpha=\"0.03\", expect_size=\"49898496\"] \n  8 -> 9 [size =\"49898496\"]\n  9 [size=\"96947200\", alpha=\"0.13\", expect_size=\"38778880\"] \n  9 -> 10 [size =\"38778880\"]\n  10 [size=\"85186560\", alpha=\"0.06\", expect_size=\"34074624\"] \n  10 -> 11 [size =\"34074624\"]\n  11 [size=\"18268160\", alpha=\"0.13\", expect_size=\"7307264\"] \n  11 -> 12 [size =\"7307264\"]\n  12 [size=\"64401920\", alpha=\"0.04\", expect_size=\"25760768\"] \n  12 -> 13 [size =\"25760768\"]\n  13 [size=\"72133120\", alpha=\"0.16\", expect_size=\"28853248\"] \n  13 -> 14 [size =\"28853248\"]\n  14 [size=\"79513600\", alpha=\"0.08\", expect_size=\"31805440\"] \n  14 -> 15 [size =\"31805440\"]\n  15 [size=\"115921920\", alpha=\"0.01\", expect_size=\"46368768\"] \n  15 -> 16 [size =\"46368768\"]\n  16 [size=\"66050560\", alpha=\"0.02\", expect_size=\"26420224\"] \n  16 -> 17 [size =\"26420224\"]\n  17 [size=\"89827840\", alpha=\"0.16\", expect_size=\"35931136\"] \n  17 -> 18 [size =\"35931136\"]\n  18 [size=\"35683840\", alpha=\"0.14\", expect_size=\"14273536\"] \n  18 -> 19 [size =\"14273536\"]\n  19 [size=\"51914240\", alpha=\"0.02\", expect_size=\"20765696\"] \n  19 -> 20 [size =\"20765696\"]\n  20 [size=\"128811520\", alpha=\"0.03\", expect_size=\"51524608\"] \n  20 -> 21 [size =\"51524608\"]\n  21 [size=\"47075840\", alpha=\"0.09\", expect_size=\"18830336\"] \n  21 -> 22 [size =\"18830336\"]\n  22 [size=\"120883200\", alpha=\"0.20\", expect_size=\"48353280\"] \n  22 -> 23 [size =\"48353280\"]\n  23 [size=\"26429440\", alpha=\"0.20\", expect_size=\"10571776\"] \n  23 -> 24 [size =\"10571776\"]\n  24 [size=\"123258880\", alpha=\"0.16\", expect_size=\"49303552\"] \n  24 -> 25 [size =\"49303552\"]\n  25 [size=\"51256320\", alpha=\"0.18\", expect_size=\"20502528\"] \n  25 -> 26 [size =\"20502528\"]\n  26 [size=\"57036800\", alpha=\"0.07\", expect_size=\"22814720\"] \n  26 -> 27 [size =\"22814720\"]\n  27 [size=\"67594240\", alpha=\"0.11\", expect_size=\"27037696\"] \n  27 -> 28 [size =\"27037696\"]\n  28 [size=\"42659840\", alpha=\"0.13\", expect_size=\"17063936\"] \n  28 -> 29 [size =\"17063936\"]\n  29 [size=\"122833920\", alpha=\"0.10\", expect_size=\"49133568\"] \n  29 -> 30 [size =\"49133568\"]\n  30 [size=\"17712640\", alpha=\"0.19\", expect_size=\"7085056\"] \n  30 -> 31 [size =\"7085056\"]\n  31 [size=\"36953600\", alpha=\"0.08\", expect_size=\"14781440\"] \n  31 -> 32 [size =\"14781440\"]\n  32 [size=\"92116480\", alpha=\"0.07\", expect_size=\"36846592\"] \n  32 -> 33 [size =\"36846592\"]\n  33 [size=\"91130880\", alpha=\"0.15\", expect_size=\"36452352\"] \n  33 -> 34 [size =\"36452352\"]\n  34 [size=\"88688640\", alpha=\"0.15\", expect_size=\"35475456\"] \n  34 -> 35 [size =\"35475456\"]\n  35 [size=\"67425280\", alpha=\"0.12\", expect_size=\"26970112\"] \n  35 -> 36 [size =\"26970112\"]\n  36 [size=\"54699520\", alpha=\"0.18\", expect_size=\"21879808\"] \n  36 -> 37 [size =\"21879808\"]\n  37 [size=\"97067520\", alpha=\"0.17\", expect_size=\"38827008\"] \n  37 -> 38 [size =\"38827008\"]\n  38 [size=\"42191360\", alpha=\"0.00\", expect_size=\"16876544\"] \n  38 -> 39 [size =\"16876544\"]\n  39 [size=\"119672320\", alpha=\"0.10\", expect_size=\"47868928\"] \n  39 -> 40 [size =\"47868928\"]\n  40 [size=\"59463680\", alpha=\"0.19\", expect_size=\"23785472\"] \n  40 -> 41 [size =\"23785472\"]\n  41 [size=\"51607040\", alpha=\"0.14\", expect_size=\"20642816\"] \n  41 -> 42 [size =\"20642816\"]\n  42 [size=\"101265920\", alpha=\"0.07\", expect_size=\"40506368\"] \n  42 -> 43 [size =\"40506368\"]\n  43 [size=\"23808000\", alpha=\"0.03\", expect_size=\"9523200\"] \n  43 -> 44 [size =\"9523200\"]\n  44 [size=\"114186240\", alpha=\"0.17\", expect_size=\"45674496\"] \n  44 -> 45 [size =\"45674496\"]\n  45 [size=\"84915200\", alpha=\"0.17\", expect_size=\"33966080\"] \n  45 -> 46 [size =\"33966080\"]\n  46 [size=\"38814720\", alpha=\"0.05\", expect_size=\"15525888\"] \n  46 -> 47 [size =\"15525888\"]\n  47 [size=\"28825600\", alpha=\"0.03\", expect_size=\"11530240\"] \n  47 -> 48 [size =\"11530240\"]\n  48 [size=\"13703680\", alpha=\"0.05\", expect_size=\"5481472\"] \n  48 -> 49 [size =\"5481472\"]\n  49 [size=\"16030720\", alpha=\"0.06\", expect_size=\"6412288\"] \n  49 -> 50 [size =\"6412288\"]\n  50 [size=\"74608640\", alpha=\"0.07\", expect_size=\"29843456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.655.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36853760\", alpha=\"0.03\", expect_size=\"11056128\"] \n  1 -> 36 [size =\"11056128\"]\n  1 -> 39 [size =\"11056128\"]\n  1 -> 42 [size =\"11056128\"]\n  1 -> 46 [size =\"11056128\"]\n  1 -> 48 [size =\"11056128\"]\n  2 [size=\"142049280\", alpha=\"0.17\", expect_size=\"42614784\"] \n  2 -> 35 [size =\"42614784\"]\n  2 -> 37 [size =\"42614784\"]\n  2 -> 39 [size =\"42614784\"]\n  2 -> 46 [size =\"42614784\"]\n  2 -> 47 [size =\"42614784\"]\n  2 -> 48 [size =\"42614784\"]\n  2 -> 50 [size =\"42614784\"]\n  3 [size=\"67802453\", alpha=\"0.11\", expect_size=\"20340736\"] \n  3 -> 36 [size =\"20340736\"]\n  3 -> 40 [size =\"20340736\"]\n  3 -> 46 [size =\"20340736\"]\n  4 [size=\"29088427\", alpha=\"0.09\", expect_size=\"8726528\"] \n  4 -> 39 [size =\"8726528\"]\n  4 -> 46 [size =\"8726528\"]\n  4 -> 47 [size =\"8726528\"]\n  4 -> 48 [size =\"8726528\"]\n  5 [size=\"79254187\", alpha=\"0.19\", expect_size=\"23776256\"] \n  5 -> 38 [size =\"23776256\"]\n  5 -> 41 [size =\"23776256\"]\n  5 -> 44 [size =\"23776256\"]\n  5 -> 48 [size =\"23776256\"]\n  6 [size=\"42659840\", alpha=\"0.19\", expect_size=\"12797952\"] \n  6 -> 35 [size =\"12797952\"]\n  6 -> 36 [size =\"12797952\"]\n  6 -> 40 [size =\"12797952\"]\n  6 -> 47 [size =\"12797952\"]\n  6 -> 48 [size =\"12797952\"]\n  6 -> 49 [size =\"12797952\"]\n  7 [size=\"64215040\", alpha=\"0.07\", expect_size=\"19264512\"] \n  7 -> 35 [size =\"19264512\"]\n  7 -> 36 [size =\"19264512\"]\n  7 -> 39 [size =\"19264512\"]\n  7 -> 40 [size =\"19264512\"]\n  7 -> 45 [size =\"19264512\"]\n  7 -> 47 [size =\"19264512\"]\n  7 -> 48 [size =\"19264512\"]\n  7 -> 49 [size =\"19264512\"]\n  7 -> 50 [size =\"19264512\"]\n  8 [size=\"172352853\", alpha=\"0.14\", expect_size=\"51705856\"] \n  8 -> 36 [size =\"51705856\"]\n  8 -> 40 [size =\"51705856\"]\n  8 -> 44 [size =\"51705856\"]\n  8 -> 47 [size =\"51705856\"]\n  8 -> 48 [size =\"51705856\"]\n  8 -> 49 [size =\"51705856\"]\n  9 [size=\"88685227\", alpha=\"0.01\", expect_size=\"26605568\"] \n  9 -> 35 [size =\"26605568\"]\n  9 -> 36 [size =\"26605568\"]\n  9 -> 40 [size =\"26605568\"]\n  9 -> 46 [size =\"26605568\"]\n  9 -> 47 [size =\"26605568\"]\n  9 -> 48 [size =\"26605568\"]\n  10 [size=\"26559147\", alpha=\"0.15\", expect_size=\"7967744\"] \n  10 -> 35 [size =\"7967744\"]\n  10 -> 36 [size =\"7967744\"]\n  10 -> 40 [size =\"7967744\"]\n  10 -> 44 [size =\"7967744\"]\n  10 -> 45 [size =\"7967744\"]\n  10 -> 46 [size =\"7967744\"]\n  10 -> 47 [size =\"7967744\"]\n  10 -> 48 [size =\"7967744\"]\n  11 [size=\"99925333\", alpha=\"0.04\", expect_size=\"29977600\"] \n  11 -> 36 [size =\"29977600\"]\n  11 -> 36 [size =\"29977600\"]\n  11 -> 39 [size =\"29977600\"]\n  11 -> 40 [size =\"29977600\"]\n  11 -> 44 [size =\"29977600\"]\n  11 -> 46 [size =\"29977600\"]\n  11 -> 47 [size =\"29977600\"]\n  11 -> 48 [size =\"29977600\"]\n  11 -> 49 [size =\"29977600\"]\n  12 [size=\"124286293\", alpha=\"0.01\", expect_size=\"37285888\"] \n  12 -> 35 [size =\"37285888\"]\n  12 -> 36 [size =\"37285888\"]\n  12 -> 40 [size =\"37285888\"]\n  12 -> 40 [size =\"37285888\"]\n  12 -> 44 [size =\"37285888\"]\n  12 -> 48 [size =\"37285888\"]\n  12 -> 49 [size =\"37285888\"]\n  13 [size=\"102751573\", alpha=\"0.03\", expect_size=\"30825472\"] \n  13 -> 35 [size =\"30825472\"]\n  13 -> 37 [size =\"30825472\"]\n  13 -> 38 [size =\"30825472\"]\n  13 -> 39 [size =\"30825472\"]\n  13 -> 40 [size =\"30825472\"]\n  13 -> 44 [size =\"30825472\"]\n  13 -> 48 [size =\"30825472\"]\n  13 -> 49 [size =\"30825472\"]\n  14 [size=\"31443627\", alpha=\"0.09\", expect_size=\"9433088\"] \n  14 -> 35 [size =\"9433088\"]\n  14 -> 36 [size =\"9433088\"]\n  14 -> 39 [size =\"9433088\"]\n  14 -> 40 [size =\"9433088\"]\n  14 -> 40 [size =\"9433088\"]\n  14 -> 41 [size =\"9433088\"]\n  14 -> 44 [size =\"9433088\"]\n  14 -> 48 [size =\"9433088\"]\n  15 [size=\"101140480\", alpha=\"0.10\", expect_size=\"30342144\"] \n  15 -> 35 [size =\"30342144\"]\n  15 -> 36 [size =\"30342144\"]\n  15 -> 39 [size =\"30342144\"]\n  15 -> 41 [size =\"30342144\"]\n  15 -> 43 [size =\"30342144\"]\n  15 -> 45 [size =\"30342144\"]\n  15 -> 46 [size =\"30342144\"]\n  15 -> 48 [size =\"30342144\"]\n  16 [size=\"91958613\", alpha=\"0.08\", expect_size=\"27587584\"] \n  16 -> 35 [size =\"27587584\"]\n  16 -> 36 [size =\"27587584\"]\n  16 -> 37 [size =\"27587584\"]\n  16 -> 39 [size =\"27587584\"]\n  16 -> 48 [size =\"27587584\"]\n  17 [size=\"82329600\", alpha=\"0.19\", expect_size=\"24698880\"] \n  17 -> 35 [size =\"24698880\"]\n  17 -> 36 [size =\"24698880\"]\n  17 -> 39 [size =\"24698880\"]\n  17 -> 41 [size =\"24698880\"]\n  17 -> 44 [size =\"24698880\"]\n  17 -> 47 [size =\"24698880\"]\n  17 -> 48 [size =\"24698880\"]\n  17 -> 49 [size =\"24698880\"]\n  18 [size=\"139294720\", alpha=\"0.11\", expect_size=\"41788416\"] \n  18 -> 35 [size =\"41788416\"]\n  18 -> 40 [size =\"41788416\"]\n  18 -> 45 [size =\"41788416\"]\n  18 -> 47 [size =\"41788416\"]\n  18 -> 48 [size =\"41788416\"]\n  18 -> 49 [size =\"41788416\"]\n  19 [size=\"90091520\", alpha=\"0.09\", expect_size=\"27027456\"] \n  19 -> 35 [size =\"27027456\"]\n  19 -> 36 [size =\"27027456\"]\n  19 -> 40 [size =\"27027456\"]\n  19 -> 44 [size =\"27027456\"]\n  19 -> 45 [size =\"27027456\"]\n  19 -> 46 [size =\"27027456\"]\n  19 -> 47 [size =\"27027456\"]\n  19 -> 48 [size =\"27027456\"]\n  20 [size=\"98761387\", alpha=\"0.18\", expect_size=\"29628416\"] \n  20 -> 36 [size =\"29628416\"]\n  20 -> 39 [size =\"29628416\"]\n  20 -> 40 [size =\"29628416\"]\n  20 -> 44 [size =\"29628416\"]\n  20 -> 46 [size =\"29628416\"]\n  20 -> 48 [size =\"29628416\"]\n  20 -> 49 [size =\"29628416\"]\n  21 [size=\"60579840\", alpha=\"0.09\", expect_size=\"18173952\"] \n  21 -> 36 [size =\"18173952\"]\n  21 -> 39 [size =\"18173952\"]\n  21 -> 46 [size =\"18173952\"]\n  21 -> 48 [size =\"18173952\"]\n  22 [size=\"88234667\", alpha=\"0.16\", expect_size=\"26470400\"] \n  22 -> 35 [size =\"26470400\"]\n  22 -> 37 [size =\"26470400\"]\n  22 -> 39 [size =\"26470400\"]\n  22 -> 41 [size =\"26470400\"]\n  22 -> 46 [size =\"26470400\"]\n  22 -> 48 [size =\"26470400\"]\n  23 [size=\"94890667\", alpha=\"0.10\", expect_size=\"28467200\"] \n  23 -> 36 [size =\"28467200\"]\n  23 -> 47 [size =\"28467200\"]\n  23 -> 48 [size =\"28467200\"]\n  23 -> 49 [size =\"28467200\"]\n  24 [size=\"114974720\", alpha=\"0.05\", expect_size=\"34492416\"] \n  24 -> 35 [size =\"34492416\"]\n  24 -> 36 [size =\"34492416\"]\n  24 -> 40 [size =\"34492416\"]\n  24 -> 48 [size =\"34492416\"]\n  25 [size=\"28047360\", alpha=\"0.08\", expect_size=\"8414208\"] \n  25 -> 35 [size =\"8414208\"]\n  25 -> 36 [size =\"8414208\"]\n  25 -> 39 [size =\"8414208\"]\n  25 -> 40 [size =\"8414208\"]\n  25 -> 44 [size =\"8414208\"]\n  25 -> 48 [size =\"8414208\"]\n  26 [size=\"105297920\", alpha=\"0.15\", expect_size=\"31589376\"] \n  26 -> 35 [size =\"31589376\"]\n  26 -> 36 [size =\"31589376\"]\n  26 -> 39 [size =\"31589376\"]\n  26 -> 40 [size =\"31589376\"]\n  26 -> 46 [size =\"31589376\"]\n  26 -> 47 [size =\"31589376\"]\n  26 -> 48 [size =\"31589376\"]\n  26 -> 49 [size =\"31589376\"]\n  27 [size=\"167669760\", alpha=\"0.07\", expect_size=\"50300928\"] \n  27 -> 35 [size =\"50300928\"]\n  27 -> 36 [size =\"50300928\"]\n  27 -> 40 [size =\"50300928\"]\n  27 -> 47 [size =\"50300928\"]\n  27 -> 48 [size =\"50300928\"]\n  27 -> 49 [size =\"50300928\"]\n  28 [size=\"159389013\", alpha=\"0.19\", expect_size=\"47816704\"] \n  28 -> 36 [size =\"47816704\"]\n  28 -> 36 [size =\"47816704\"]\n  28 -> 39 [size =\"47816704\"]\n  28 -> 47 [size =\"47816704\"]\n  28 -> 48 [size =\"47816704\"]\n  28 -> 50 [size =\"47816704\"]\n  29 [size=\"90521600\", alpha=\"0.20\", expect_size=\"27156480\"] \n  29 -> 38 [size =\"27156480\"]\n  29 -> 39 [size =\"27156480\"]\n  29 -> 47 [size =\"27156480\"]\n  30 [size=\"157832533\", alpha=\"0.02\", expect_size=\"47349760\"] \n  30 -> 35 [size =\"47349760\"]\n  30 -> 40 [size =\"47349760\"]\n  30 -> 44 [size =\"47349760\"]\n  30 -> 46 [size =\"47349760\"]\n  30 -> 47 [size =\"47349760\"]\n  30 -> 48 [size =\"47349760\"]\n  31 [size=\"138929493\", alpha=\"0.15\", expect_size=\"41678848\"] \n  31 -> 35 [size =\"41678848\"]\n  31 -> 39 [size =\"41678848\"]\n  31 -> 40 [size =\"41678848\"]\n  31 -> 47 [size =\"41678848\"]\n  31 -> 47 [size =\"41678848\"]\n  31 -> 48 [size =\"41678848\"]\n  32 [size=\"53193387\", alpha=\"0.01\", expect_size=\"15958016\"] \n  32 -> 35 [size =\"15958016\"]\n  32 -> 45 [size =\"15958016\"]\n  32 -> 46 [size =\"15958016\"]\n  32 -> 48 [size =\"15958016\"]\n  33 [size=\"25204053\", alpha=\"0.18\", expect_size=\"7561216\"] \n  33 -> 35 [size =\"7561216\"]\n  33 -> 39 [size =\"7561216\"]\n  33 -> 44 [size =\"7561216\"]\n  33 -> 47 [size =\"7561216\"]\n  33 -> 48 [size =\"7561216\"]\n  34 [size=\"105284267\", alpha=\"0.17\", expect_size=\"31585280\"] \n  34 -> 35 [size =\"31585280\"]\n  34 -> 39 [size =\"31585280\"]\n  34 -> 44 [size =\"31585280\"]\n  34 -> 49 [size =\"31585280\"]\n  35 [size=\"147763200\", alpha=\"0.06\", expect_size=\"44328960\"] \n  36 [size=\"57132373\", alpha=\"0.05\", expect_size=\"17139712\"] \n  37 [size=\"173148160\", alpha=\"0.12\", expect_size=\"51944448\"] \n  38 [size=\"70696960\", alpha=\"0.15\", expect_size=\"21209088\"] \n  39 [size=\"61938347\", alpha=\"0.07\", expect_size=\"18581504\"] \n  40 [size=\"60798293\", alpha=\"0.09\", expect_size=\"18239488\"] \n  41 [size=\"76366507\", alpha=\"0.17\", expect_size=\"22909952\"] \n  42 [size=\"33802240\", alpha=\"0.13\", expect_size=\"10140672\"] \n  43 [size=\"39918933\", alpha=\"0.20\", expect_size=\"11975680\"] \n  44 [size=\"22705493\", alpha=\"0.19\", expect_size=\"6811648\"] \n  45 [size=\"153419093\", alpha=\"0.19\", expect_size=\"46025728\"] \n  46 [size=\"43864747\", alpha=\"0.11\", expect_size=\"13159424\"] \n  47 [size=\"83101013\", alpha=\"0.01\", expect_size=\"24930304\"] \n  48 [size=\"21408427\", alpha=\"0.10\", expect_size=\"6422528\"] \n  49 [size=\"137895253\", alpha=\"0.08\", expect_size=\"41368576\"] \n  50 [size=\"33314133\", alpha=\"0.03\", expect_size=\"9994240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.656.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60272640\", alpha=\"0.02\", expect_size=\"30136320\"] \n  1 -> 19 [size =\"30136320\"]\n  1 -> 19 [size =\"30136320\"]\n  1 -> 22 [size =\"30136320\"]\n  1 -> 27 [size =\"30136320\"]\n  1 -> 28 [size =\"30136320\"]\n  2 [size=\"100972544\", alpha=\"0.05\", expect_size=\"50486272\"] \n  2 -> 17 [size =\"50486272\"]\n  2 -> 20 [size =\"50486272\"]\n  2 -> 22 [size =\"50486272\"]\n  2 -> 25 [size =\"50486272\"]\n  2 -> 26 [size =\"50486272\"]\n  2 -> 27 [size =\"50486272\"]\n  2 -> 29 [size =\"50486272\"]\n  3 [size=\"17342464\", alpha=\"0.03\", expect_size=\"8671232\"] \n  3 -> 17 [size =\"8671232\"]\n  3 -> 19 [size =\"8671232\"]\n  3 -> 20 [size =\"8671232\"]\n  3 -> 21 [size =\"8671232\"]\n  3 -> 22 [size =\"8671232\"]\n  3 -> 23 [size =\"8671232\"]\n  3 -> 25 [size =\"8671232\"]\n  3 -> 26 [size =\"8671232\"]\n  3 -> 27 [size =\"8671232\"]\n  3 -> 29 [size =\"8671232\"]\n  4 [size=\"62902272\", alpha=\"0.20\", expect_size=\"31451136\"] \n  4 -> 17 [size =\"31451136\"]\n  4 -> 24 [size =\"31451136\"]\n  4 -> 25 [size =\"31451136\"]\n  4 -> 27 [size =\"31451136\"]\n  4 -> 28 [size =\"31451136\"]\n  4 -> 29 [size =\"31451136\"]\n  5 [size=\"40280064\", alpha=\"0.16\", expect_size=\"20140032\"] \n  5 -> 17 [size =\"20140032\"]\n  5 -> 27 [size =\"20140032\"]\n  6 [size=\"36519936\", alpha=\"0.14\", expect_size=\"18259968\"] \n  6 -> 18 [size =\"18259968\"]\n  6 -> 20 [size =\"18259968\"]\n  6 -> 21 [size =\"18259968\"]\n  6 -> 30 [size =\"18259968\"]\n  7 [size=\"84510720\", alpha=\"0.12\", expect_size=\"42255360\"] \n  7 -> 18 [size =\"42255360\"]\n  7 -> 20 [size =\"42255360\"]\n  7 -> 25 [size =\"42255360\"]\n  7 -> 26 [size =\"42255360\"]\n  8 [size=\"73357312\", alpha=\"0.06\", expect_size=\"36678656\"] \n  9 [size=\"35514368\", alpha=\"0.14\", expect_size=\"17757184\"] \n  9 -> 18 [size =\"17757184\"]\n  9 -> 19 [size =\"17757184\"]\n  9 -> 20 [size =\"17757184\"]\n  10 [size=\"28381184\", alpha=\"0.09\", expect_size=\"14190592\"] \n  10 -> 19 [size =\"14190592\"]\n  10 -> 20 [size =\"14190592\"]\n  10 -> 23 [size =\"14190592\"]\n  10 -> 26 [size =\"14190592\"]\n  10 -> 29 [size =\"14190592\"]\n  11 [size=\"34553856\", alpha=\"0.04\", expect_size=\"17276928\"] \n  11 -> 17 [size =\"17276928\"]\n  11 -> 19 [size =\"17276928\"]\n  11 -> 20 [size =\"17276928\"]\n  11 -> 21 [size =\"17276928\"]\n  11 -> 28 [size =\"17276928\"]\n  12 [size=\"43659264\", alpha=\"0.02\", expect_size=\"21829632\"] \n  12 -> 18 [size =\"21829632\"]\n  12 -> 20 [size =\"21829632\"]\n  12 -> 22 [size =\"21829632\"]\n  12 -> 23 [size =\"21829632\"]\n  12 -> 24 [size =\"21829632\"]\n  13 [size=\"68587520\", alpha=\"0.11\", expect_size=\"34293760\"] \n  13 -> 17 [size =\"34293760\"]\n  13 -> 18 [size =\"34293760\"]\n  13 -> 19 [size =\"34293760\"]\n  13 -> 23 [size =\"34293760\"]\n  13 -> 25 [size =\"34293760\"]\n  14 [size=\"81184768\", alpha=\"0.08\", expect_size=\"40592384\"] \n  14 -> 17 [size =\"40592384\"]\n  14 -> 18 [size =\"40592384\"]\n  14 -> 21 [size =\"40592384\"]\n  14 -> 22 [size =\"40592384\"]\n  14 -> 24 [size =\"40592384\"]\n  14 -> 25 [size =\"40592384\"]\n  14 -> 27 [size =\"40592384\"]\n  14 -> 28 [size =\"40592384\"]\n  15 [size=\"78956544\", alpha=\"0.02\", expect_size=\"39478272\"] \n  15 -> 17 [size =\"39478272\"]\n  15 -> 19 [size =\"39478272\"]\n  15 -> 20 [size =\"39478272\"]\n  15 -> 22 [size =\"39478272\"]\n  15 -> 24 [size =\"39478272\"]\n  15 -> 26 [size =\"39478272\"]\n  16 [size=\"60798976\", alpha=\"0.11\", expect_size=\"30399488\"] \n  16 -> 17 [size =\"30399488\"]\n  16 -> 19 [size =\"30399488\"]\n  16 -> 22 [size =\"30399488\"]\n  16 -> 28 [size =\"30399488\"]\n  17 [size=\"30402560\", alpha=\"0.16\", expect_size=\"15201280\"] \n  17 -> 32 [size =\"15201280\"]\n  17 -> 34 [size =\"15201280\"]\n  17 -> 36 [size =\"15201280\"]\n  17 -> 38 [size =\"15201280\"]\n  17 -> 40 [size =\"15201280\"]\n  17 -> 41 [size =\"15201280\"]\n  18 [size=\"86634496\", alpha=\"0.04\", expect_size=\"43317248\"] \n  18 -> 31 [size =\"43317248\"]\n  18 -> 33 [size =\"43317248\"]\n  18 -> 34 [size =\"43317248\"]\n  18 -> 38 [size =\"43317248\"]\n  18 -> 44 [size =\"43317248\"]\n  19 [size=\"18911232\", alpha=\"0.18\", expect_size=\"9455616\"] \n  19 -> 37 [size =\"9455616\"]\n  19 -> 39 [size =\"9455616\"]\n  19 -> 40 [size =\"9455616\"]\n  19 -> 43 [size =\"9455616\"]\n  19 -> 44 [size =\"9455616\"]\n  19 -> 45 [size =\"9455616\"]\n  20 [size=\"86269952\", alpha=\"0.18\", expect_size=\"43134976\"] \n  20 -> 31 [size =\"43134976\"]\n  20 -> 38 [size =\"43134976\"]\n  20 -> 42 [size =\"43134976\"]\n  20 -> 43 [size =\"43134976\"]\n  20 -> 44 [size =\"43134976\"]\n  21 [size=\"34093056\", alpha=\"0.09\", expect_size=\"17046528\"] \n  21 -> 31 [size =\"17046528\"]\n  21 -> 38 [size =\"17046528\"]\n  21 -> 39 [size =\"17046528\"]\n  21 -> 44 [size =\"17046528\"]\n  22 [size=\"51679232\", alpha=\"0.18\", expect_size=\"25839616\"] \n  22 -> 37 [size =\"25839616\"]\n  22 -> 38 [size =\"25839616\"]\n  22 -> 39 [size =\"25839616\"]\n  22 -> 40 [size =\"25839616\"]\n  22 -> 41 [size =\"25839616\"]\n  22 -> 42 [size =\"25839616\"]\n  23 [size=\"63358976\", alpha=\"0.10\", expect_size=\"31679488\"] \n  23 -> 32 [size =\"31679488\"]\n  23 -> 35 [size =\"31679488\"]\n  23 -> 36 [size =\"31679488\"]\n  23 -> 39 [size =\"31679488\"]\n  23 -> 42 [size =\"31679488\"]\n  23 -> 44 [size =\"31679488\"]\n  24 [size=\"18892800\", alpha=\"0.12\", expect_size=\"9446400\"] \n  24 -> 32 [size =\"9446400\"]\n  24 -> 34 [size =\"9446400\"]\n  24 -> 36 [size =\"9446400\"]\n  24 -> 41 [size =\"9446400\"]\n  24 -> 44 [size =\"9446400\"]\n  25 [size=\"57911296\", alpha=\"0.01\", expect_size=\"28955648\"] \n  25 -> 32 [size =\"28955648\"]\n  25 -> 35 [size =\"28955648\"]\n  25 -> 36 [size =\"28955648\"]\n  25 -> 40 [size =\"28955648\"]\n  25 -> 42 [size =\"28955648\"]\n  26 [size=\"68497408\", alpha=\"0.15\", expect_size=\"34248704\"] \n  26 -> 32 [size =\"34248704\"]\n  26 -> 36 [size =\"34248704\"]\n  26 -> 36 [size =\"34248704\"]\n  26 -> 40 [size =\"34248704\"]\n  26 -> 42 [size =\"34248704\"]\n  26 -> 43 [size =\"34248704\"]\n  26 -> 44 [size =\"34248704\"]\n  27 [size=\"27527168\", alpha=\"0.04\", expect_size=\"13763584\"] \n  27 -> 32 [size =\"13763584\"]\n  27 -> 42 [size =\"13763584\"]\n  27 -> 44 [size =\"13763584\"]\n  28 [size=\"103653376\", alpha=\"0.08\", expect_size=\"51826688\"] \n  28 -> 32 [size =\"51826688\"]\n  28 -> 36 [size =\"51826688\"]\n  28 -> 38 [size =\"51826688\"]\n  28 -> 39 [size =\"51826688\"]\n  28 -> 40 [size =\"51826688\"]\n  28 -> 41 [size =\"51826688\"]\n  28 -> 42 [size =\"51826688\"]\n  28 -> 43 [size =\"51826688\"]\n  29 [size=\"27713536\", alpha=\"0.16\", expect_size=\"13856768\"] \n  29 -> 32 [size =\"13856768\"]\n  29 -> 38 [size =\"13856768\"]\n  29 -> 42 [size =\"13856768\"]\n  30 [size=\"18292736\", alpha=\"0.08\", expect_size=\"9146368\"] \n  30 -> 32 [size =\"9146368\"]\n  30 -> 35 [size =\"9146368\"]\n  30 -> 36 [size =\"9146368\"]\n  30 -> 40 [size =\"9146368\"]\n  30 -> 44 [size =\"9146368\"]\n  30 -> 45 [size =\"9146368\"]\n  31 [size=\"103358464\", alpha=\"0.06\", expect_size=\"51679232\"] \n  31 -> 46 [size =\"51679232\"]\n  31 -> 48 [size =\"51679232\"]\n  32 [size=\"49586176\", alpha=\"0.10\", expect_size=\"24793088\"] \n  33 [size=\"41834496\", alpha=\"0.07\", expect_size=\"20917248\"] \n  33 -> 48 [size =\"20917248\"]\n  33 -> 49 [size =\"20917248\"]\n  34 [size=\"86960128\", alpha=\"0.19\", expect_size=\"43480064\"] \n  34 -> 46 [size =\"43480064\"]\n  34 -> 48 [size =\"43480064\"]\n  34 -> 49 [size =\"43480064\"]\n  35 [size=\"48637952\", alpha=\"0.05\", expect_size=\"24318976\"] \n  35 -> 48 [size =\"24318976\"]\n  35 -> 50 [size =\"24318976\"]\n  36 [size=\"51034112\", alpha=\"0.02\", expect_size=\"25517056\"] \n  37 [size=\"25812992\", alpha=\"0.03\", expect_size=\"12906496\"] \n  37 -> 48 [size =\"12906496\"]\n  37 -> 50 [size =\"12906496\"]\n  38 [size=\"46999552\", alpha=\"0.20\", expect_size=\"23499776\"] \n  38 -> 47 [size =\"23499776\"]\n  39 [size=\"83095552\", alpha=\"0.19\", expect_size=\"41547776\"] \n  39 -> 48 [size =\"41547776\"]\n  40 [size=\"64757760\", alpha=\"0.14\", expect_size=\"32378880\"] \n  40 -> 49 [size =\"32378880\"]\n  41 [size=\"104255488\", alpha=\"0.14\", expect_size=\"52127744\"] \n  41 -> 47 [size =\"52127744\"]\n  41 -> 49 [size =\"52127744\"]\n  42 [size=\"36913152\", alpha=\"0.03\", expect_size=\"18456576\"] \n  42 -> 46 [size =\"18456576\"]\n  42 -> 49 [size =\"18456576\"]\n  43 [size=\"84647936\", alpha=\"0.03\", expect_size=\"42323968\"] \n  43 -> 48 [size =\"42323968\"]\n  43 -> 49 [size =\"42323968\"]\n  44 [size=\"22448128\", alpha=\"0.05\", expect_size=\"11224064\"] \n  44 -> 46 [size =\"11224064\"]\n  44 -> 48 [size =\"11224064\"]\n  44 -> 49 [size =\"11224064\"]\n  45 [size=\"15380480\", alpha=\"0.16\", expect_size=\"7690240\"] \n  45 -> 46 [size =\"7690240\"]\n  45 -> 49 [size =\"7690240\"]\n  45 -> 49 [size =\"7690240\"]\n  45 -> 50 [size =\"7690240\"]\n  46 [size=\"37552128\", alpha=\"0.01\", expect_size=\"18776064\"] \n  47 [size=\"44902400\", alpha=\"0.08\", expect_size=\"22451200\"] \n  48 [size=\"57350144\", alpha=\"0.16\", expect_size=\"28675072\"] \n  49 [size=\"56672256\", alpha=\"0.07\", expect_size=\"28336128\"] \n  50 [size=\"51298304\", alpha=\"0.20\", expect_size=\"25649152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.657.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45226667\", alpha=\"0.11\", expect_size=\"13568000\"] \n  1 -> 5 [size =\"13568000\"]\n  1 -> 6 [size =\"13568000\"]\n  2 [size=\"113172480\", alpha=\"0.03\", expect_size=\"33951744\"] \n  2 -> 4 [size =\"33951744\"]\n  2 -> 6 [size =\"33951744\"]\n  3 [size=\"163822933\", alpha=\"0.08\", expect_size=\"49146880\"] \n  3 -> 6 [size =\"49146880\"]\n  4 [size=\"106728107\", alpha=\"0.05\", expect_size=\"32018432\"] \n  4 -> 7 [size =\"32018432\"]\n  4 -> 8 [size =\"32018432\"]\n  5 [size=\"59637760\", alpha=\"0.19\", expect_size=\"17891328\"] \n  5 -> 9 [size =\"17891328\"]\n  5 -> 10 [size =\"17891328\"]\n  6 [size=\"30146560\", alpha=\"0.09\", expect_size=\"9043968\"] \n  6 -> 8 [size =\"9043968\"]\n  7 [size=\"97191253\", alpha=\"0.04\", expect_size=\"29157376\"] \n  7 -> 12 [size =\"29157376\"]\n  7 -> 13 [size =\"29157376\"]\n  8 [size=\"164427093\", alpha=\"0.01\", expect_size=\"49328128\"] \n  8 -> 11 [size =\"49328128\"]\n  8 -> 12 [size =\"49328128\"]\n  8 -> 13 [size =\"49328128\"]\n  9 [size=\"67751253\", alpha=\"0.05\", expect_size=\"20325376\"] \n  10 [size=\"96351573\", alpha=\"0.07\", expect_size=\"28905472\"] \n  10 -> 11 [size =\"28905472\"]\n  11 [size=\"139113813\", alpha=\"0.07\", expect_size=\"41734144\"] \n  11 -> 14 [size =\"41734144\"]\n  12 [size=\"66430293\", alpha=\"0.02\", expect_size=\"19929088\"] \n  12 -> 14 [size =\"19929088\"]\n  12 -> 15 [size =\"19929088\"]\n  13 [size=\"90497707\", alpha=\"0.19\", expect_size=\"27149312\"] \n  14 [size=\"156818773\", alpha=\"0.07\", expect_size=\"47045632\"] \n  14 -> 17 [size =\"47045632\"]\n  14 -> 18 [size =\"47045632\"]\n  15 [size=\"39768747\", alpha=\"0.04\", expect_size=\"11930624\"] \n  15 -> 16 [size =\"11930624\"]\n  15 -> 17 [size =\"11930624\"]\n  15 -> 18 [size =\"11930624\"]\n  16 [size=\"28975787\", alpha=\"0.01\", expect_size=\"8692736\"] \n  16 -> 19 [size =\"8692736\"]\n  16 -> 21 [size =\"8692736\"]\n  17 [size=\"103454720\", alpha=\"0.00\", expect_size=\"31036416\"] \n  17 -> 20 [size =\"31036416\"]\n  18 [size=\"134144000\", alpha=\"0.02\", expect_size=\"40243200\"] \n  18 -> 21 [size =\"40243200\"]\n  19 [size=\"142694400\", alpha=\"0.08\", expect_size=\"42808320\"] \n  19 -> 22 [size =\"42808320\"]\n  20 [size=\"28115627\", alpha=\"0.15\", expect_size=\"8434688\"] \n  21 [size=\"84432213\", alpha=\"0.06\", expect_size=\"25329664\"] \n  21 -> 22 [size =\"25329664\"]\n  22 [size=\"135871147\", alpha=\"0.08\", expect_size=\"40761344\"] \n  22 -> 23 [size =\"40761344\"]\n  22 -> 24 [size =\"40761344\"]\n  22 -> 25 [size =\"40761344\"]\n  23 [size=\"154528427\", alpha=\"0.10\", expect_size=\"46358528\"] \n  23 -> 27 [size =\"46358528\"]\n  24 [size=\"143752533\", alpha=\"0.03\", expect_size=\"43125760\"] \n  24 -> 26 [size =\"43125760\"]\n  25 [size=\"43591680\", alpha=\"0.01\", expect_size=\"13077504\"] \n  25 -> 26 [size =\"13077504\"]\n  26 [size=\"72854187\", alpha=\"0.01\", expect_size=\"21856256\"] \n  27 [size=\"81104213\", alpha=\"0.11\", expect_size=\"24331264\"] \n  27 -> 28 [size =\"24331264\"]\n  28 [size=\"81739093\", alpha=\"0.20\", expect_size=\"24521728\"] \n  28 -> 29 [size =\"24521728\"]\n  28 -> 30 [size =\"24521728\"]\n  28 -> 31 [size =\"24521728\"]\n  29 [size=\"98539520\", alpha=\"0.15\", expect_size=\"29561856\"] \n  29 -> 33 [size =\"29561856\"]\n  30 [size=\"158177280\", alpha=\"0.20\", expect_size=\"47453184\"] \n  30 -> 32 [size =\"47453184\"]\n  31 [size=\"117254827\", alpha=\"0.00\", expect_size=\"35176448\"] \n  32 [size=\"160812373\", alpha=\"0.07\", expect_size=\"48243712\"] \n  32 -> 34 [size =\"48243712\"]\n  33 [size=\"69966507\", alpha=\"0.03\", expect_size=\"20989952\"] \n  33 -> 34 [size =\"20989952\"]\n  34 [size=\"148360533\", alpha=\"0.17\", expect_size=\"44508160\"] \n  34 -> 35 [size =\"44508160\"]\n  34 -> 36 [size =\"44508160\"]\n  34 -> 37 [size =\"44508160\"]\n  34 -> 38 [size =\"44508160\"]\n  35 [size=\"170670080\", alpha=\"0.13\", expect_size=\"51201024\"] \n  35 -> 39 [size =\"51201024\"]\n  36 [size=\"21777067\", alpha=\"0.12\", expect_size=\"6533120\"] \n  37 [size=\"28924587\", alpha=\"0.01\", expect_size=\"8677376\"] \n  38 [size=\"114541227\", alpha=\"0.04\", expect_size=\"34362368\"] \n  38 -> 39 [size =\"34362368\"]\n  38 -> 40 [size =\"34362368\"]\n  39 [size=\"111011840\", alpha=\"0.04\", expect_size=\"33303552\"] \n  39 -> 41 [size =\"33303552\"]\n  40 [size=\"68608000\", alpha=\"0.05\", expect_size=\"20582400\"] \n  40 -> 42 [size =\"20582400\"]\n  41 [size=\"66208427\", alpha=\"0.15\", expect_size=\"19862528\"] \n  41 -> 43 [size =\"19862528\"]\n  42 [size=\"68167680\", alpha=\"0.20\", expect_size=\"20450304\"] \n  42 -> 44 [size =\"20450304\"]\n  43 [size=\"123439787\", alpha=\"0.02\", expect_size=\"37031936\"] \n  43 -> 45 [size =\"37031936\"]\n  44 [size=\"147759787\", alpha=\"0.20\", expect_size=\"44327936\"] \n  44 -> 45 [size =\"44327936\"]\n  44 -> 46 [size =\"44327936\"]\n  45 [size=\"123187200\", alpha=\"0.01\", expect_size=\"36956160\"] \n  45 -> 47 [size =\"36956160\"]\n  46 [size=\"72014507\", alpha=\"0.10\", expect_size=\"21604352\"] \n  46 -> 47 [size =\"21604352\"]\n  47 [size=\"163027627\", alpha=\"0.07\", expect_size=\"48908288\"] \n  47 -> 48 [size =\"48908288\"]\n  48 [size=\"167635627\", alpha=\"0.11\", expect_size=\"50290688\"] \n  48 -> 49 [size =\"50290688\"]\n  48 -> 50 [size =\"50290688\"]\n  49 [size=\"45219840\", alpha=\"0.07\", expect_size=\"13565952\"] \n  50 [size=\"78284800\", alpha=\"0.20\", expect_size=\"23485440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.658.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113346560\", alpha=\"0.03\", expect_size=\"45338624\"] \n  1 -> 19 [size =\"45338624\"]\n  1 -> 33 [size =\"45338624\"]\n  1 -> 34 [size =\"45338624\"]\n  1 -> 36 [size =\"45338624\"]\n  2 [size=\"77429760\", alpha=\"0.13\", expect_size=\"30971904\"] \n  2 -> 19 [size =\"30971904\"]\n  2 -> 35 [size =\"30971904\"]\n  2 -> 36 [size =\"30971904\"]\n  3 [size=\"25907200\", alpha=\"0.11\", expect_size=\"10362880\"] \n  3 -> 19 [size =\"10362880\"]\n  3 -> 21 [size =\"10362880\"]\n  3 -> 32 [size =\"10362880\"]\n  3 -> 37 [size =\"10362880\"]\n  4 [size=\"42081280\", alpha=\"0.17\", expect_size=\"16832512\"] \n  4 -> 19 [size =\"16832512\"]\n  4 -> 34 [size =\"16832512\"]\n  5 [size=\"51251200\", alpha=\"0.15\", expect_size=\"20500480\"] \n  5 -> 21 [size =\"20500480\"]\n  5 -> 27 [size =\"20500480\"]\n  5 -> 35 [size =\"20500480\"]\n  5 -> 36 [size =\"20500480\"]\n  6 [size=\"23833600\", alpha=\"0.15\", expect_size=\"9533440\"] \n  6 -> 20 [size =\"9533440\"]\n  6 -> 26 [size =\"9533440\"]\n  6 -> 27 [size =\"9533440\"]\n  6 -> 33 [size =\"9533440\"]\n  6 -> 35 [size =\"9533440\"]\n  7 [size=\"61207040\", alpha=\"0.05\", expect_size=\"24482816\"] \n  7 -> 19 [size =\"24482816\"]\n  7 -> 20 [size =\"24482816\"]\n  7 -> 30 [size =\"24482816\"]\n  7 -> 31 [size =\"24482816\"]\n  7 -> 35 [size =\"24482816\"]\n  8 [size=\"16660480\", alpha=\"0.15\", expect_size=\"6664192\"] \n  8 -> 22 [size =\"6664192\"]\n  8 -> 26 [size =\"6664192\"]\n  8 -> 36 [size =\"6664192\"]\n  9 [size=\"81984000\", alpha=\"0.10\", expect_size=\"32793600\"] \n  9 -> 26 [size =\"32793600\"]\n  9 -> 28 [size =\"32793600\"]\n  9 -> 33 [size =\"32793600\"]\n  9 -> 36 [size =\"32793600\"]\n  10 [size=\"95882240\", alpha=\"0.09\", expect_size=\"38352896\"] \n  10 -> 21 [size =\"38352896\"]\n  10 -> 26 [size =\"38352896\"]\n  10 -> 27 [size =\"38352896\"]\n  10 -> 28 [size =\"38352896\"]\n  10 -> 33 [size =\"38352896\"]\n  11 [size=\"89879040\", alpha=\"0.04\", expect_size=\"35951616\"] \n  11 -> 21 [size =\"35951616\"]\n  11 -> 23 [size =\"35951616\"]\n  11 -> 24 [size =\"35951616\"]\n  11 -> 26 [size =\"35951616\"]\n  11 -> 28 [size =\"35951616\"]\n  11 -> 29 [size =\"35951616\"]\n  11 -> 36 [size =\"35951616\"]\n  12 [size=\"105077760\", alpha=\"0.17\", expect_size=\"42031104\"] \n  12 -> 20 [size =\"42031104\"]\n  12 -> 21 [size =\"42031104\"]\n  12 -> 25 [size =\"42031104\"]\n  12 -> 26 [size =\"42031104\"]\n  12 -> 28 [size =\"42031104\"]\n  12 -> 32 [size =\"42031104\"]\n  12 -> 33 [size =\"42031104\"]\n  12 -> 34 [size =\"42031104\"]\n  13 [size=\"65797120\", alpha=\"0.19\", expect_size=\"26318848\"] \n  13 -> 21 [size =\"26318848\"]\n  13 -> 22 [size =\"26318848\"]\n  13 -> 25 [size =\"26318848\"]\n  13 -> 26 [size =\"26318848\"]\n  13 -> 27 [size =\"26318848\"]\n  13 -> 28 [size =\"26318848\"]\n  13 -> 32 [size =\"26318848\"]\n  13 -> 34 [size =\"26318848\"]\n  13 -> 35 [size =\"26318848\"]\n  13 -> 37 [size =\"26318848\"]\n  14 [size=\"14126080\", alpha=\"0.05\", expect_size=\"5650432\"] \n  14 -> 25 [size =\"5650432\"]\n  14 -> 27 [size =\"5650432\"]\n  14 -> 29 [size =\"5650432\"]\n  14 -> 30 [size =\"5650432\"]\n  14 -> 32 [size =\"5650432\"]\n  14 -> 34 [size =\"5650432\"]\n  15 [size=\"115845120\", alpha=\"0.06\", expect_size=\"46338048\"] \n  15 -> 19 [size =\"46338048\"]\n  15 -> 23 [size =\"46338048\"]\n  15 -> 27 [size =\"46338048\"]\n  15 -> 30 [size =\"46338048\"]\n  15 -> 34 [size =\"46338048\"]\n  16 [size=\"88634880\", alpha=\"0.15\", expect_size=\"35453952\"] \n  16 -> 19 [size =\"35453952\"]\n  16 -> 25 [size =\"35453952\"]\n  16 -> 27 [size =\"35453952\"]\n  16 -> 28 [size =\"35453952\"]\n  16 -> 32 [size =\"35453952\"]\n  16 -> 35 [size =\"35453952\"]\n  17 [size=\"60249600\", alpha=\"0.17\", expect_size=\"24099840\"] \n  17 -> 19 [size =\"24099840\"]\n  17 -> 20 [size =\"24099840\"]\n  17 -> 21 [size =\"24099840\"]\n  17 -> 23 [size =\"24099840\"]\n  17 -> 25 [size =\"24099840\"]\n  17 -> 26 [size =\"24099840\"]\n  17 -> 28 [size =\"24099840\"]\n  18 [size=\"89113600\", alpha=\"0.19\", expect_size=\"35645440\"] \n  18 -> 19 [size =\"35645440\"]\n  18 -> 23 [size =\"35645440\"]\n  18 -> 24 [size =\"35645440\"]\n  18 -> 26 [size =\"35645440\"]\n  18 -> 29 [size =\"35645440\"]\n  18 -> 32 [size =\"35645440\"]\n  18 -> 33 [size =\"35645440\"]\n  19 [size=\"59717120\", alpha=\"0.12\", expect_size=\"23886848\"] \n  19 -> 40 [size =\"23886848\"]\n  19 -> 46 [size =\"23886848\"]\n  19 -> 48 [size =\"23886848\"]\n  20 [size=\"117240320\", alpha=\"0.02\", expect_size=\"46896128\"] \n  20 -> 38 [size =\"46896128\"]\n  20 -> 39 [size =\"46896128\"]\n  20 -> 40 [size =\"46896128\"]\n  20 -> 41 [size =\"46896128\"]\n  20 -> 45 [size =\"46896128\"]\n  20 -> 47 [size =\"46896128\"]\n  20 -> 50 [size =\"46896128\"]\n  21 [size=\"51335680\", alpha=\"0.10\", expect_size=\"20534272\"] \n  21 -> 38 [size =\"20534272\"]\n  21 -> 40 [size =\"20534272\"]\n  21 -> 47 [size =\"20534272\"]\n  21 -> 48 [size =\"20534272\"]\n  22 [size=\"76203520\", alpha=\"0.08\", expect_size=\"30481408\"] \n  22 -> 40 [size =\"30481408\"]\n  22 -> 46 [size =\"30481408\"]\n  22 -> 47 [size =\"30481408\"]\n  23 [size=\"59281920\", alpha=\"0.08\", expect_size=\"23712768\"] \n  23 -> 40 [size =\"23712768\"]\n  23 -> 47 [size =\"23712768\"]\n  24 [size=\"56327680\", alpha=\"0.14\", expect_size=\"22531072\"] \n  24 -> 38 [size =\"22531072\"]\n  24 -> 48 [size =\"22531072\"]\n  24 -> 49 [size =\"22531072\"]\n  25 [size=\"85419520\", alpha=\"0.05\", expect_size=\"34167808\"] \n  25 -> 38 [size =\"34167808\"]\n  25 -> 48 [size =\"34167808\"]\n  26 [size=\"120742400\", alpha=\"0.19\", expect_size=\"48296960\"] \n  26 -> 38 [size =\"48296960\"]\n  26 -> 40 [size =\"48296960\"]\n  26 -> 41 [size =\"48296960\"]\n  26 -> 43 [size =\"48296960\"]\n  26 -> 47 [size =\"48296960\"]\n  26 -> 48 [size =\"48296960\"]\n  26 -> 50 [size =\"48296960\"]\n  27 [size=\"89495040\", alpha=\"0.01\", expect_size=\"35798016\"] \n  27 -> 38 [size =\"35798016\"]\n  27 -> 41 [size =\"35798016\"]\n  27 -> 43 [size =\"35798016\"]\n  27 -> 47 [size =\"35798016\"]\n  27 -> 50 [size =\"35798016\"]\n  28 [size=\"71244800\", alpha=\"0.03\", expect_size=\"28497920\"] \n  28 -> 38 [size =\"28497920\"]\n  28 -> 43 [size =\"28497920\"]\n  28 -> 46 [size =\"28497920\"]\n  28 -> 48 [size =\"28497920\"]\n  28 -> 49 [size =\"28497920\"]\n  28 -> 50 [size =\"28497920\"]\n  29 [size=\"64839680\", alpha=\"0.17\", expect_size=\"25935872\"] \n  29 -> 48 [size =\"25935872\"]\n  29 -> 49 [size =\"25935872\"]\n  29 -> 50 [size =\"25935872\"]\n  30 [size=\"17753600\", alpha=\"0.05\", expect_size=\"7101440\"] \n  30 -> 39 [size =\"7101440\"]\n  30 -> 40 [size =\"7101440\"]\n  30 -> 44 [size =\"7101440\"]\n  30 -> 45 [size =\"7101440\"]\n  30 -> 50 [size =\"7101440\"]\n  31 [size=\"31580160\", alpha=\"0.06\", expect_size=\"12632064\"] \n  31 -> 39 [size =\"12632064\"]\n  31 -> 40 [size =\"12632064\"]\n  31 -> 41 [size =\"12632064\"]\n  31 -> 43 [size =\"12632064\"]\n  31 -> 45 [size =\"12632064\"]\n  31 -> 48 [size =\"12632064\"]\n  31 -> 50 [size =\"12632064\"]\n  32 [size=\"88591360\", alpha=\"0.03\", expect_size=\"35436544\"] \n  32 -> 41 [size =\"35436544\"]\n  32 -> 48 [size =\"35436544\"]\n  33 [size=\"17180160\", alpha=\"0.09\", expect_size=\"6872064\"] \n  33 -> 41 [size =\"6872064\"]\n  33 -> 46 [size =\"6872064\"]\n  33 -> 47 [size =\"6872064\"]\n  33 -> 50 [size =\"6872064\"]\n  34 [size=\"66076160\", alpha=\"0.14\", expect_size=\"26430464\"] \n  34 -> 41 [size =\"26430464\"]\n  34 -> 44 [size =\"26430464\"]\n  34 -> 46 [size =\"26430464\"]\n  35 [size=\"28328960\", alpha=\"0.18\", expect_size=\"11331584\"] \n  35 -> 38 [size =\"11331584\"]\n  35 -> 41 [size =\"11331584\"]\n  35 -> 42 [size =\"11331584\"]\n  35 -> 44 [size =\"11331584\"]\n  35 -> 47 [size =\"11331584\"]\n  35 -> 48 [size =\"11331584\"]\n  35 -> 49 [size =\"11331584\"]\n  36 [size=\"60047360\", alpha=\"0.14\", expect_size=\"24018944\"] \n  36 -> 40 [size =\"24018944\"]\n  37 [size=\"53995520\", alpha=\"0.18\", expect_size=\"21598208\"] \n  37 -> 38 [size =\"21598208\"]\n  37 -> 41 [size =\"21598208\"]\n  37 -> 44 [size =\"21598208\"]\n  37 -> 47 [size =\"21598208\"]\n  37 -> 50 [size =\"21598208\"]\n  38 [size=\"58270720\", alpha=\"0.14\", expect_size=\"23308288\"] \n  39 [size=\"76431360\", alpha=\"0.19\", expect_size=\"30572544\"] \n  40 [size=\"59389440\", alpha=\"0.02\", expect_size=\"23755776\"] \n  41 [size=\"89920000\", alpha=\"0.11\", expect_size=\"35968000\"] \n  42 [size=\"126835200\", alpha=\"0.10\", expect_size=\"50734080\"] \n  43 [size=\"26176000\", alpha=\"0.18\", expect_size=\"10470400\"] \n  44 [size=\"76561920\", alpha=\"0.12\", expect_size=\"30624768\"] \n  45 [size=\"43082240\", alpha=\"0.19\", expect_size=\"17232896\"] \n  46 [size=\"28482560\", alpha=\"0.05\", expect_size=\"11393024\"] \n  47 [size=\"108288000\", alpha=\"0.03\", expect_size=\"43315200\"] \n  48 [size=\"93713920\", alpha=\"0.11\", expect_size=\"37485568\"] \n  49 [size=\"60766720\", alpha=\"0.08\", expect_size=\"24306688\"] \n  50 [size=\"56056320\", alpha=\"0.06\", expect_size=\"22422528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.659.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109094400\", alpha=\"0.12\", expect_size=\"43637760\"] \n  1 -> 2 [size =\"43637760\"]\n  2 [size=\"48773120\", alpha=\"0.11\", expect_size=\"19509248\"] \n  2 -> 3 [size =\"19509248\"]\n  3 [size=\"51921920\", alpha=\"0.09\", expect_size=\"20768768\"] \n  3 -> 4 [size =\"20768768\"]\n  4 [size=\"87503360\", alpha=\"0.07\", expect_size=\"35001344\"] \n  4 -> 5 [size =\"35001344\"]\n  5 [size=\"13434880\", alpha=\"0.06\", expect_size=\"5373952\"] \n  5 -> 6 [size =\"5373952\"]\n  6 [size=\"114071040\", alpha=\"0.16\", expect_size=\"45628416\"] \n  6 -> 7 [size =\"45628416\"]\n  7 [size=\"68032000\", alpha=\"0.11\", expect_size=\"27212800\"] \n  7 -> 8 [size =\"27212800\"]\n  8 [size=\"112243200\", alpha=\"0.04\", expect_size=\"44897280\"] \n  8 -> 9 [size =\"44897280\"]\n  9 [size=\"42378240\", alpha=\"0.13\", expect_size=\"16951296\"] \n  9 -> 10 [size =\"16951296\"]\n  10 [size=\"57960960\", alpha=\"0.08\", expect_size=\"23184384\"] \n  10 -> 11 [size =\"23184384\"]\n  11 [size=\"127290880\", alpha=\"0.20\", expect_size=\"50916352\"] \n  11 -> 12 [size =\"50916352\"]\n  12 [size=\"77506560\", alpha=\"0.01\", expect_size=\"31002624\"] \n  12 -> 13 [size =\"31002624\"]\n  13 [size=\"22809600\", alpha=\"0.06\", expect_size=\"9123840\"] \n  13 -> 14 [size =\"9123840\"]\n  14 [size=\"78745600\", alpha=\"0.01\", expect_size=\"31498240\"] \n  14 -> 15 [size =\"31498240\"]\n  15 [size=\"121646080\", alpha=\"0.14\", expect_size=\"48658432\"] \n  15 -> 16 [size =\"48658432\"]\n  16 [size=\"38937600\", alpha=\"0.06\", expect_size=\"15575040\"] \n  16 -> 17 [size =\"15575040\"]\n  17 [size=\"14658560\", alpha=\"0.12\", expect_size=\"5863424\"] \n  17 -> 18 [size =\"5863424\"]\n  18 [size=\"80140800\", alpha=\"0.04\", expect_size=\"32056320\"] \n  18 -> 19 [size =\"32056320\"]\n  19 [size=\"102208000\", alpha=\"0.10\", expect_size=\"40883200\"] \n  19 -> 20 [size =\"40883200\"]\n  20 [size=\"60567040\", alpha=\"0.08\", expect_size=\"24226816\"] \n  20 -> 21 [size =\"24226816\"]\n  21 [size=\"105848320\", alpha=\"0.01\", expect_size=\"42339328\"] \n  21 -> 22 [size =\"42339328\"]\n  22 [size=\"105840640\", alpha=\"0.01\", expect_size=\"42336256\"] \n  22 -> 23 [size =\"42336256\"]\n  23 [size=\"114483200\", alpha=\"0.08\", expect_size=\"45793280\"] \n  23 -> 24 [size =\"45793280\"]\n  24 [size=\"29739520\", alpha=\"0.07\", expect_size=\"11895808\"] \n  24 -> 25 [size =\"11895808\"]\n  25 [size=\"37196800\", alpha=\"0.06\", expect_size=\"14878720\"] \n  25 -> 26 [size =\"14878720\"]\n  26 [size=\"118576640\", alpha=\"0.02\", expect_size=\"47430656\"] \n  26 -> 27 [size =\"47430656\"]\n  27 [size=\"34767360\", alpha=\"0.07\", expect_size=\"13906944\"] \n  27 -> 28 [size =\"13906944\"]\n  28 [size=\"103974400\", alpha=\"0.10\", expect_size=\"41589760\"] \n  28 -> 29 [size =\"41589760\"]\n  29 [size=\"128158720\", alpha=\"0.17\", expect_size=\"51263488\"] \n  29 -> 30 [size =\"51263488\"]\n  30 [size=\"69608960\", alpha=\"0.12\", expect_size=\"27843584\"] \n  30 -> 31 [size =\"27843584\"]\n  31 [size=\"114375680\", alpha=\"0.06\", expect_size=\"45750272\"] \n  31 -> 32 [size =\"45750272\"]\n  32 [size=\"122513920\", alpha=\"0.11\", expect_size=\"49005568\"] \n  32 -> 33 [size =\"49005568\"]\n  33 [size=\"129697280\", alpha=\"0.18\", expect_size=\"51878912\"] \n  33 -> 34 [size =\"51878912\"]\n  34 [size=\"56775680\", alpha=\"0.16\", expect_size=\"22710272\"] \n  34 -> 35 [size =\"22710272\"]\n  35 [size=\"96104960\", alpha=\"0.13\", expect_size=\"38441984\"] \n  35 -> 36 [size =\"38441984\"]\n  36 [size=\"130055680\", alpha=\"0.13\", expect_size=\"52022272\"] \n  36 -> 37 [size =\"52022272\"]\n  37 [size=\"23662080\", alpha=\"0.14\", expect_size=\"9464832\"] \n  37 -> 38 [size =\"9464832\"]\n  38 [size=\"67778560\", alpha=\"0.07\", expect_size=\"27111424\"] \n  38 -> 39 [size =\"27111424\"]\n  39 [size=\"125616640\", alpha=\"0.14\", expect_size=\"50246656\"] \n  39 -> 40 [size =\"50246656\"]\n  40 [size=\"108480000\", alpha=\"0.10\", expect_size=\"43392000\"] \n  40 -> 41 [size =\"43392000\"]\n  41 [size=\"61227520\", alpha=\"0.01\", expect_size=\"24491008\"] \n  41 -> 42 [size =\"24491008\"]\n  42 [size=\"98042880\", alpha=\"0.08\", expect_size=\"39217152\"] \n  42 -> 43 [size =\"39217152\"]\n  43 [size=\"47398400\", alpha=\"0.12\", expect_size=\"18959360\"] \n  43 -> 44 [size =\"18959360\"]\n  44 [size=\"36963840\", alpha=\"0.19\", expect_size=\"14785536\"] \n  44 -> 45 [size =\"14785536\"]\n  45 [size=\"14410240\", alpha=\"0.10\", expect_size=\"5764096\"] \n  45 -> 46 [size =\"5764096\"]\n  46 [size=\"88281600\", alpha=\"0.19\", expect_size=\"35312640\"] \n  46 -> 47 [size =\"35312640\"]\n  47 [size=\"48478720\", alpha=\"0.11\", expect_size=\"19391488\"] \n  47 -> 48 [size =\"19391488\"]\n  48 [size=\"14517760\", alpha=\"0.19\", expect_size=\"5807104\"] \n  48 -> 49 [size =\"5807104\"]\n  49 [size=\"53437440\", alpha=\"0.07\", expect_size=\"21374976\"] \n  49 -> 50 [size =\"21374976\"]\n  50 [size=\"18408960\", alpha=\"0.04\", expect_size=\"7363584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53317120\", alpha=\"0.12\", expect_size=\"21326848\"] \n  1 -> 12 [size =\"21326848\"]\n  2 [size=\"105024000\", alpha=\"0.17\", expect_size=\"42009600\"] \n  2 -> 10 [size =\"42009600\"]\n  3 [size=\"23244800\", alpha=\"0.10\", expect_size=\"9297920\"] \n  3 -> 8 [size =\"9297920\"]\n  4 [size=\"109478400\", alpha=\"0.12\", expect_size=\"43791360\"] \n  4 -> 11 [size =\"43791360\"]\n  5 [size=\"51182080\", alpha=\"0.14\", expect_size=\"20472832\"] \n  5 -> 10 [size =\"20472832\"]\n  5 -> 12 [size =\"20472832\"]\n  6 [size=\"13432320\", alpha=\"0.05\", expect_size=\"5372928\"] \n  6 -> 9 [size =\"5372928\"]\n  6 -> 11 [size =\"5372928\"]\n  6 -> 12 [size =\"5372928\"]\n  7 [size=\"18332160\", alpha=\"0.10\", expect_size=\"7332864\"] \n  7 -> 8 [size =\"7332864\"]\n  7 -> 9 [size =\"7332864\"]\n  7 -> 12 [size =\"7332864\"]\n  8 [size=\"104519680\", alpha=\"0.14\", expect_size=\"41807872\"] \n  9 [size=\"106688000\", alpha=\"0.03\", expect_size=\"42675200\"] \n  10 [size=\"108221440\", alpha=\"0.14\", expect_size=\"43288576\"] \n  10 -> 13 [size =\"43288576\"]\n  10 -> 14 [size =\"43288576\"]\n  10 -> 15 [size =\"43288576\"]\n  10 -> 16 [size =\"43288576\"]\n  11 [size=\"84577280\", alpha=\"0.01\", expect_size=\"33830912\"] \n  11 -> 15 [size =\"33830912\"]\n  12 [size=\"39075840\", alpha=\"0.15\", expect_size=\"15630336\"] \n  12 -> 13 [size =\"15630336\"]\n  12 -> 15 [size =\"15630336\"]\n  12 -> 16 [size =\"15630336\"]\n  13 [size=\"24317440\", alpha=\"0.13\", expect_size=\"9726976\"] \n  13 -> 20 [size =\"9726976\"]\n  13 -> 21 [size =\"9726976\"]\n  14 [size=\"83635200\", alpha=\"0.04\", expect_size=\"33454080\"] \n  14 -> 17 [size =\"33454080\"]\n  14 -> 21 [size =\"33454080\"]\n  15 [size=\"34278400\", alpha=\"0.02\", expect_size=\"13711360\"] \n  15 -> 18 [size =\"13711360\"]\n  16 [size=\"114534400\", alpha=\"0.14\", expect_size=\"45813760\"] \n  16 -> 19 [size =\"45813760\"]\n  16 -> 20 [size =\"45813760\"]\n  17 [size=\"24558080\", alpha=\"0.13\", expect_size=\"9823232\"] \n  17 -> 25 [size =\"9823232\"]\n  17 -> 26 [size =\"9823232\"]\n  18 [size=\"86000640\", alpha=\"0.06\", expect_size=\"34400256\"] \n  18 -> 24 [size =\"34400256\"]\n  18 -> 25 [size =\"34400256\"]\n  18 -> 27 [size =\"34400256\"]\n  19 [size=\"52846080\", alpha=\"0.05\", expect_size=\"21138432\"] \n  19 -> 23 [size =\"21138432\"]\n  20 [size=\"67952640\", alpha=\"0.09\", expect_size=\"27181056\"] \n  20 -> 22 [size =\"27181056\"]\n  20 -> 23 [size =\"27181056\"]\n  20 -> 26 [size =\"27181056\"]\n  20 -> 27 [size =\"27181056\"]\n  21 [size=\"32816640\", alpha=\"0.19\", expect_size=\"13126656\"] \n  22 [size=\"41052160\", alpha=\"0.06\", expect_size=\"16420864\"] \n  23 [size=\"129576960\", alpha=\"0.14\", expect_size=\"51830784\"] \n  24 [size=\"90388480\", alpha=\"0.19\", expect_size=\"36155392\"] \n  24 -> 28 [size =\"36155392\"]\n  24 -> 29 [size =\"36155392\"]\n  24 -> 30 [size =\"36155392\"]\n  24 -> 31 [size =\"36155392\"]\n  25 [size=\"112573440\", alpha=\"0.10\", expect_size=\"45029376\"] \n  25 -> 29 [size =\"45029376\"]\n  25 -> 30 [size =\"45029376\"]\n  26 [size=\"122334720\", alpha=\"0.01\", expect_size=\"48933888\"] \n  26 -> 28 [size =\"48933888\"]\n  26 -> 30 [size =\"48933888\"]\n  26 -> 31 [size =\"48933888\"]\n  27 [size=\"86750720\", alpha=\"0.12\", expect_size=\"34700288\"] \n  27 -> 28 [size =\"34700288\"]\n  27 -> 29 [size =\"34700288\"]\n  28 [size=\"45383680\", alpha=\"0.20\", expect_size=\"18153472\"] \n  28 -> 36 [size =\"18153472\"]\n  29 [size=\"82475520\", alpha=\"0.03\", expect_size=\"32990208\"] \n  29 -> 35 [size =\"32990208\"]\n  29 -> 36 [size =\"32990208\"]\n  30 [size=\"109731840\", alpha=\"0.02\", expect_size=\"43892736\"] \n  30 -> 32 [size =\"43892736\"]\n  30 -> 33 [size =\"43892736\"]\n  30 -> 37 [size =\"43892736\"]\n  31 [size=\"42790400\", alpha=\"0.14\", expect_size=\"17116160\"] \n  31 -> 32 [size =\"17116160\"]\n  31 -> 33 [size =\"17116160\"]\n  31 -> 34 [size =\"17116160\"]\n  31 -> 35 [size =\"17116160\"]\n  32 [size=\"39828480\", alpha=\"0.10\", expect_size=\"15931392\"] \n  32 -> 42 [size =\"15931392\"]\n  32 -> 44 [size =\"15931392\"]\n  33 [size=\"74795520\", alpha=\"0.08\", expect_size=\"29918208\"] \n  33 -> 38 [size =\"29918208\"]\n  33 -> 44 [size =\"29918208\"]\n  34 [size=\"39869440\", alpha=\"0.17\", expect_size=\"15947776\"] \n  34 -> 41 [size =\"15947776\"]\n  35 [size=\"31418880\", alpha=\"0.11\", expect_size=\"12567552\"] \n  35 -> 39 [size =\"12567552\"]\n  35 -> 42 [size =\"12567552\"]\n  36 [size=\"87521280\", alpha=\"0.01\", expect_size=\"35008512\"] \n  36 -> 38 [size =\"35008512\"]\n  36 -> 39 [size =\"35008512\"]\n  36 -> 42 [size =\"35008512\"]\n  36 -> 43 [size =\"35008512\"]\n  37 [size=\"90536960\", alpha=\"0.14\", expect_size=\"36214784\"] \n  37 -> 38 [size =\"36214784\"]\n  37 -> 39 [size =\"36214784\"]\n  37 -> 40 [size =\"36214784\"]\n  37 -> 42 [size =\"36214784\"]\n  37 -> 44 [size =\"36214784\"]\n  38 [size=\"45693440\", alpha=\"0.19\", expect_size=\"18277376\"] \n  38 -> 47 [size =\"18277376\"]\n  39 [size=\"44400640\", alpha=\"0.10\", expect_size=\"17760256\"] \n  39 -> 49 [size =\"17760256\"]\n  40 [size=\"62279680\", alpha=\"0.11\", expect_size=\"24911872\"] \n  40 -> 45 [size =\"24911872\"]\n  40 -> 50 [size =\"24911872\"]\n  41 [size=\"76477440\", alpha=\"0.15\", expect_size=\"30590976\"] \n  41 -> 46 [size =\"30590976\"]\n  41 -> 49 [size =\"30590976\"]\n  42 [size=\"40504320\", alpha=\"0.04\", expect_size=\"16201728\"] \n  42 -> 47 [size =\"16201728\"]\n  42 -> 48 [size =\"16201728\"]\n  42 -> 49 [size =\"16201728\"]\n  42 -> 50 [size =\"16201728\"]\n  43 [size=\"98293760\", alpha=\"0.13\", expect_size=\"39317504\"] \n  43 -> 47 [size =\"39317504\"]\n  43 -> 49 [size =\"39317504\"]\n  43 -> 50 [size =\"39317504\"]\n  44 [size=\"25126400\", alpha=\"0.15\", expect_size=\"10050560\"] \n  44 -> 45 [size =\"10050560\"]\n  45 [size=\"127462400\", alpha=\"0.13\", expect_size=\"50984960\"] \n  46 [size=\"72578560\", alpha=\"0.11\", expect_size=\"29031424\"] \n  47 [size=\"79866880\", alpha=\"0.00\", expect_size=\"31946752\"] \n  48 [size=\"42813440\", alpha=\"0.15\", expect_size=\"17125376\"] \n  49 [size=\"34316800\", alpha=\"0.02\", expect_size=\"13726720\"] \n  50 [size=\"94118400\", alpha=\"0.06\", expect_size=\"37647360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.660.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56860160\", alpha=\"0.13\", expect_size=\"22744064\"] \n  1 -> 9 [size =\"22744064\"]\n  1 -> 10 [size =\"22744064\"]\n  1 -> 11 [size =\"22744064\"]\n  1 -> 13 [size =\"22744064\"]\n  1 -> 14 [size =\"22744064\"]\n  2 [size=\"35284480\", alpha=\"0.09\", expect_size=\"14113792\"] \n  2 -> 10 [size =\"14113792\"]\n  2 -> 10 [size =\"14113792\"]\n  2 -> 11 [size =\"14113792\"]\n  2 -> 12 [size =\"14113792\"]\n  2 -> 13 [size =\"14113792\"]\n  2 -> 14 [size =\"14113792\"]\n  3 [size=\"107834880\", alpha=\"0.15\", expect_size=\"43133952\"] \n  3 -> 10 [size =\"43133952\"]\n  3 -> 11 [size =\"43133952\"]\n  3 -> 12 [size =\"43133952\"]\n  3 -> 13 [size =\"43133952\"]\n  3 -> 14 [size =\"43133952\"]\n  3 -> 14 [size =\"43133952\"]\n  3 -> 15 [size =\"43133952\"]\n  4 [size=\"48000000\", alpha=\"0.01\", expect_size=\"19200000\"] \n  4 -> 10 [size =\"19200000\"]\n  4 -> 15 [size =\"19200000\"]\n  5 [size=\"73551360\", alpha=\"0.08\", expect_size=\"29420544\"] \n  5 -> 10 [size =\"29420544\"]\n  5 -> 12 [size =\"29420544\"]\n  6 [size=\"94008320\", alpha=\"0.19\", expect_size=\"37603328\"] \n  6 -> 9 [size =\"37603328\"]\n  6 -> 10 [size =\"37603328\"]\n  6 -> 12 [size =\"37603328\"]\n  6 -> 15 [size =\"37603328\"]\n  7 [size=\"17625600\", alpha=\"0.09\", expect_size=\"7050240\"] \n  7 -> 12 [size =\"7050240\"]\n  7 -> 14 [size =\"7050240\"]\n  8 [size=\"34539520\", alpha=\"0.05\", expect_size=\"13815808\"] \n  8 -> 9 [size =\"13815808\"]\n  8 -> 10 [size =\"13815808\"]\n  8 -> 11 [size =\"13815808\"]\n  8 -> 13 [size =\"13815808\"]\n  8 -> 14 [size =\"13815808\"]\n  8 -> 15 [size =\"13815808\"]\n  9 [size=\"104655360\", alpha=\"0.07\", expect_size=\"41862144\"] \n  9 -> 17 [size =\"41862144\"]\n  9 -> 19 [size =\"41862144\"]\n  10 [size=\"103697920\", alpha=\"0.17\", expect_size=\"41479168\"] \n  10 -> 16 [size =\"41479168\"]\n  10 -> 17 [size =\"41479168\"]\n  10 -> 19 [size =\"41479168\"]\n  11 [size=\"81228800\", alpha=\"0.16\", expect_size=\"32491520\"] \n  11 -> 17 [size =\"32491520\"]\n  11 -> 18 [size =\"32491520\"]\n  11 -> 19 [size =\"32491520\"]\n  12 [size=\"38402560\", alpha=\"0.12\", expect_size=\"15361024\"] \n  12 -> 19 [size =\"15361024\"]\n  12 -> 20 [size =\"15361024\"]\n  13 [size=\"92177920\", alpha=\"0.15\", expect_size=\"36871168\"] \n  13 -> 16 [size =\"36871168\"]\n  13 -> 18 [size =\"36871168\"]\n  13 -> 19 [size =\"36871168\"]\n  13 -> 20 [size =\"36871168\"]\n  14 [size=\"62932480\", alpha=\"0.12\", expect_size=\"25172992\"] \n  14 -> 18 [size =\"25172992\"]\n  14 -> 19 [size =\"25172992\"]\n  14 -> 20 [size =\"25172992\"]\n  15 [size=\"68933120\", alpha=\"0.03\", expect_size=\"27573248\"] \n  15 -> 19 [size =\"27573248\"]\n  16 [size=\"114142720\", alpha=\"0.11\", expect_size=\"45657088\"] \n  16 -> 21 [size =\"45657088\"]\n  16 -> 23 [size =\"45657088\"]\n  16 -> 24 [size =\"45657088\"]\n  16 -> 25 [size =\"45657088\"]\n  17 [size=\"110871040\", alpha=\"0.18\", expect_size=\"44348416\"] \n  17 -> 21 [size =\"44348416\"]\n  17 -> 22 [size =\"44348416\"]\n  17 -> 24 [size =\"44348416\"]\n  17 -> 25 [size =\"44348416\"]\n  18 [size=\"48499200\", alpha=\"0.20\", expect_size=\"19399680\"] \n  18 -> 21 [size =\"19399680\"]\n  18 -> 22 [size =\"19399680\"]\n  18 -> 23 [size =\"19399680\"]\n  18 -> 25 [size =\"19399680\"]\n  19 [size=\"78645760\", alpha=\"0.05\", expect_size=\"31458304\"] \n  19 -> 21 [size =\"31458304\"]\n  19 -> 22 [size =\"31458304\"]\n  19 -> 23 [size =\"31458304\"]\n  19 -> 24 [size =\"31458304\"]\n  19 -> 25 [size =\"31458304\"]\n  20 [size=\"122677760\", alpha=\"0.10\", expect_size=\"49071104\"] \n  20 -> 21 [size =\"49071104\"]\n  20 -> 22 [size =\"49071104\"]\n  20 -> 25 [size =\"49071104\"]\n  21 [size=\"104704000\", alpha=\"0.02\", expect_size=\"41881600\"] \n  21 -> 28 [size =\"41881600\"]\n  21 -> 31 [size =\"41881600\"]\n  21 -> 32 [size =\"41881600\"]\n  21 -> 34 [size =\"41881600\"]\n  22 [size=\"78389760\", alpha=\"0.18\", expect_size=\"31355904\"] \n  22 -> 27 [size =\"31355904\"]\n  22 -> 29 [size =\"31355904\"]\n  22 -> 30 [size =\"31355904\"]\n  22 -> 32 [size =\"31355904\"]\n  23 [size=\"31953920\", alpha=\"0.10\", expect_size=\"12781568\"] \n  23 -> 26 [size =\"12781568\"]\n  23 -> 27 [size =\"12781568\"]\n  23 -> 28 [size =\"12781568\"]\n  23 -> 29 [size =\"12781568\"]\n  23 -> 32 [size =\"12781568\"]\n  24 [size=\"119544320\", alpha=\"0.08\", expect_size=\"47817728\"] \n  24 -> 27 [size =\"47817728\"]\n  24 -> 28 [size =\"47817728\"]\n  24 -> 29 [size =\"47817728\"]\n  24 -> 30 [size =\"47817728\"]\n  24 -> 32 [size =\"47817728\"]\n  24 -> 34 [size =\"47817728\"]\n  25 [size=\"69488640\", alpha=\"0.17\", expect_size=\"27795456\"] \n  25 -> 26 [size =\"27795456\"]\n  25 -> 27 [size =\"27795456\"]\n  25 -> 28 [size =\"27795456\"]\n  25 -> 29 [size =\"27795456\"]\n  25 -> 30 [size =\"27795456\"]\n  25 -> 32 [size =\"27795456\"]\n  25 -> 33 [size =\"27795456\"]\n  25 -> 34 [size =\"27795456\"]\n  26 [size=\"88798720\", alpha=\"0.19\", expect_size=\"35519488\"] \n  26 -> 35 [size =\"35519488\"]\n  26 -> 41 [size =\"35519488\"]\n  26 -> 41 [size =\"35519488\"]\n  27 [size=\"37877760\", alpha=\"0.02\", expect_size=\"15151104\"] \n  28 [size=\"23912960\", alpha=\"0.08\", expect_size=\"9565184\"] \n  28 -> 39 [size =\"9565184\"]\n  28 -> 40 [size =\"9565184\"]\n  28 -> 42 [size =\"9565184\"]\n  28 -> 43 [size =\"9565184\"]\n  29 [size=\"22064640\", alpha=\"0.10\", expect_size=\"8825856\"] \n  29 -> 36 [size =\"8825856\"]\n  29 -> 37 [size =\"8825856\"]\n  29 -> 38 [size =\"8825856\"]\n  30 [size=\"49676800\", alpha=\"0.07\", expect_size=\"19870720\"] \n  30 -> 35 [size =\"19870720\"]\n  30 -> 37 [size =\"19870720\"]\n  30 -> 40 [size =\"19870720\"]\n  30 -> 42 [size =\"19870720\"]\n  31 [size=\"106393600\", alpha=\"0.16\", expect_size=\"42557440\"] \n  31 -> 37 [size =\"42557440\"]\n  31 -> 37 [size =\"42557440\"]\n  31 -> 38 [size =\"42557440\"]\n  31 -> 40 [size =\"42557440\"]\n  31 -> 41 [size =\"42557440\"]\n  32 [size=\"118000640\", alpha=\"0.09\", expect_size=\"47200256\"] \n  32 -> 35 [size =\"47200256\"]\n  32 -> 36 [size =\"47200256\"]\n  32 -> 37 [size =\"47200256\"]\n  32 -> 41 [size =\"47200256\"]\n  32 -> 41 [size =\"47200256\"]\n  32 -> 42 [size =\"47200256\"]\n  32 -> 43 [size =\"47200256\"]\n  33 [size=\"106677760\", alpha=\"0.16\", expect_size=\"42671104\"] \n  33 -> 36 [size =\"42671104\"]\n  33 -> 37 [size =\"42671104\"]\n  33 -> 41 [size =\"42671104\"]\n  33 -> 41 [size =\"42671104\"]\n  34 [size=\"49187840\", alpha=\"0.11\", expect_size=\"19675136\"] \n  34 -> 36 [size =\"19675136\"]\n  34 -> 37 [size =\"19675136\"]\n  34 -> 41 [size =\"19675136\"]\n  35 [size=\"98391040\", alpha=\"0.15\", expect_size=\"39356416\"] \n  35 -> 44 [size =\"39356416\"]\n  35 -> 46 [size =\"39356416\"]\n  36 [size=\"78804480\", alpha=\"0.17\", expect_size=\"31521792\"] \n  36 -> 45 [size =\"31521792\"]\n  36 -> 46 [size =\"31521792\"]\n  36 -> 49 [size =\"31521792\"]\n  37 [size=\"71329280\", alpha=\"0.15\", expect_size=\"28531712\"] \n  37 -> 45 [size =\"28531712\"]\n  37 -> 47 [size =\"28531712\"]\n  38 [size=\"80486400\", alpha=\"0.19\", expect_size=\"32194560\"] \n  38 -> 46 [size =\"32194560\"]\n  38 -> 48 [size =\"32194560\"]\n  38 -> 49 [size =\"32194560\"]\n  39 [size=\"127708160\", alpha=\"0.15\", expect_size=\"51083264\"] \n  39 -> 47 [size =\"51083264\"]\n  39 -> 48 [size =\"51083264\"]\n  39 -> 49 [size =\"51083264\"]\n  40 [size=\"68615680\", alpha=\"0.09\", expect_size=\"27446272\"] \n  40 -> 44 [size =\"27446272\"]\n  40 -> 47 [size =\"27446272\"]\n  40 -> 49 [size =\"27446272\"]\n  41 [size=\"111761920\", alpha=\"0.18\", expect_size=\"44704768\"] \n  41 -> 44 [size =\"44704768\"]\n  41 -> 45 [size =\"44704768\"]\n  41 -> 46 [size =\"44704768\"]\n  41 -> 47 [size =\"44704768\"]\n  41 -> 49 [size =\"44704768\"]\n  42 [size=\"89346560\", alpha=\"0.19\", expect_size=\"35738624\"] \n  42 -> 44 [size =\"35738624\"]\n  42 -> 45 [size =\"35738624\"]\n  42 -> 47 [size =\"35738624\"]\n  43 [size=\"26664960\", alpha=\"0.02\", expect_size=\"10665984\"] \n  43 -> 45 [size =\"10665984\"]\n  43 -> 48 [size =\"10665984\"]\n  44 [size=\"120750080\", alpha=\"0.04\", expect_size=\"48300032\"] \n  44 -> 50 [size =\"48300032\"]\n  45 [size=\"67537920\", alpha=\"0.15\", expect_size=\"27015168\"] \n  46 [size=\"40816640\", alpha=\"0.19\", expect_size=\"16326656\"] \n  47 [size=\"23662080\", alpha=\"0.08\", expect_size=\"9464832\"] \n  47 -> 50 [size =\"9464832\"]\n  48 [size=\"113835520\", alpha=\"0.18\", expect_size=\"45534208\"] \n  48 -> 50 [size =\"45534208\"]\n  49 [size=\"110804480\", alpha=\"0.10\", expect_size=\"44321792\"] \n  49 -> 50 [size =\"44321792\"]\n  50 [size=\"80102400\", alpha=\"0.07\", expect_size=\"32040960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.661.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35018752\", alpha=\"0.09\", expect_size=\"17509376\"] \n  1 -> 16 [size =\"17509376\"]\n  1 -> 18 [size =\"17509376\"]\n  1 -> 19 [size =\"17509376\"]\n  1 -> 21 [size =\"17509376\"]\n  1 -> 22 [size =\"17509376\"]\n  1 -> 25 [size =\"17509376\"]\n  1 -> 27 [size =\"17509376\"]\n  1 -> 33 [size =\"17509376\"]\n  1 -> 35 [size =\"17509376\"]\n  2 [size=\"29251584\", alpha=\"0.10\", expect_size=\"14625792\"] \n  2 -> 16 [size =\"14625792\"]\n  2 -> 19 [size =\"14625792\"]\n  2 -> 19 [size =\"14625792\"]\n  2 -> 21 [size =\"14625792\"]\n  2 -> 22 [size =\"14625792\"]\n  2 -> 23 [size =\"14625792\"]\n  2 -> 24 [size =\"14625792\"]\n  2 -> 25 [size =\"14625792\"]\n  2 -> 26 [size =\"14625792\"]\n  2 -> 32 [size =\"14625792\"]\n  2 -> 33 [size =\"14625792\"]\n  2 -> 35 [size =\"14625792\"]\n  2 -> 36 [size =\"14625792\"]\n  3 [size=\"67244032\", alpha=\"0.00\", expect_size=\"33622016\"] \n  3 -> 16 [size =\"33622016\"]\n  3 -> 17 [size =\"33622016\"]\n  3 -> 18 [size =\"33622016\"]\n  3 -> 19 [size =\"33622016\"]\n  3 -> 21 [size =\"33622016\"]\n  3 -> 22 [size =\"33622016\"]\n  3 -> 24 [size =\"33622016\"]\n  3 -> 27 [size =\"33622016\"]\n  3 -> 35 [size =\"33622016\"]\n  4 [size=\"23259136\", alpha=\"0.16\", expect_size=\"11629568\"] \n  4 -> 16 [size =\"11629568\"]\n  4 -> 17 [size =\"11629568\"]\n  4 -> 18 [size =\"11629568\"]\n  4 -> 19 [size =\"11629568\"]\n  4 -> 21 [size =\"11629568\"]\n  4 -> 24 [size =\"11629568\"]\n  4 -> 26 [size =\"11629568\"]\n  4 -> 32 [size =\"11629568\"]\n  4 -> 33 [size =\"11629568\"]\n  4 -> 34 [size =\"11629568\"]\n  4 -> 35 [size =\"11629568\"]\n  5 [size=\"63277056\", alpha=\"0.07\", expect_size=\"31638528\"] \n  5 -> 16 [size =\"31638528\"]\n  5 -> 19 [size =\"31638528\"]\n  5 -> 21 [size =\"31638528\"]\n  5 -> 29 [size =\"31638528\"]\n  5 -> 30 [size =\"31638528\"]\n  5 -> 35 [size =\"31638528\"]\n  6 [size=\"31657984\", alpha=\"0.03\", expect_size=\"15828992\"] \n  6 -> 16 [size =\"15828992\"]\n  6 -> 19 [size =\"15828992\"]\n  6 -> 20 [size =\"15828992\"]\n  6 -> 21 [size =\"15828992\"]\n  6 -> 22 [size =\"15828992\"]\n  6 -> 23 [size =\"15828992\"]\n  6 -> 29 [size =\"15828992\"]\n  6 -> 31 [size =\"15828992\"]\n  6 -> 33 [size =\"15828992\"]\n  6 -> 34 [size =\"15828992\"]\n  6 -> 36 [size =\"15828992\"]\n  7 [size=\"76759040\", alpha=\"0.09\", expect_size=\"38379520\"] \n  7 -> 16 [size =\"38379520\"]\n  7 -> 17 [size =\"38379520\"]\n  7 -> 19 [size =\"38379520\"]\n  7 -> 21 [size =\"38379520\"]\n  7 -> 24 [size =\"38379520\"]\n  7 -> 26 [size =\"38379520\"]\n  7 -> 32 [size =\"38379520\"]\n  7 -> 33 [size =\"38379520\"]\n  7 -> 35 [size =\"38379520\"]\n  8 [size=\"92665856\", alpha=\"0.19\", expect_size=\"46332928\"] \n  8 -> 17 [size =\"46332928\"]\n  8 -> 18 [size =\"46332928\"]\n  8 -> 22 [size =\"46332928\"]\n  8 -> 23 [size =\"46332928\"]\n  8 -> 24 [size =\"46332928\"]\n  8 -> 26 [size =\"46332928\"]\n  8 -> 27 [size =\"46332928\"]\n  8 -> 29 [size =\"46332928\"]\n  8 -> 31 [size =\"46332928\"]\n  8 -> 32 [size =\"46332928\"]\n  8 -> 33 [size =\"46332928\"]\n  8 -> 34 [size =\"46332928\"]\n  8 -> 35 [size =\"46332928\"]\n  8 -> 36 [size =\"46332928\"]\n  9 [size=\"30560256\", alpha=\"0.06\", expect_size=\"15280128\"] \n  9 -> 16 [size =\"15280128\"]\n  9 -> 18 [size =\"15280128\"]\n  9 -> 23 [size =\"15280128\"]\n  9 -> 23 [size =\"15280128\"]\n  9 -> 25 [size =\"15280128\"]\n  9 -> 26 [size =\"15280128\"]\n  9 -> 29 [size =\"15280128\"]\n  9 -> 31 [size =\"15280128\"]\n  9 -> 32 [size =\"15280128\"]\n  9 -> 34 [size =\"15280128\"]\n  9 -> 35 [size =\"15280128\"]\n  10 [size=\"90226688\", alpha=\"0.05\", expect_size=\"45113344\"] \n  10 -> 18 [size =\"45113344\"]\n  10 -> 23 [size =\"45113344\"]\n  10 -> 24 [size =\"45113344\"]\n  10 -> 25 [size =\"45113344\"]\n  10 -> 26 [size =\"45113344\"]\n  10 -> 28 [size =\"45113344\"]\n  10 -> 31 [size =\"45113344\"]\n  10 -> 31 [size =\"45113344\"]\n  10 -> 33 [size =\"45113344\"]\n  10 -> 34 [size =\"45113344\"]\n  10 -> 35 [size =\"45113344\"]\n  10 -> 36 [size =\"45113344\"]\n  11 [size=\"67051520\", alpha=\"0.12\", expect_size=\"33525760\"] \n  11 -> 16 [size =\"33525760\"]\n  11 -> 20 [size =\"33525760\"]\n  11 -> 22 [size =\"33525760\"]\n  11 -> 25 [size =\"33525760\"]\n  11 -> 26 [size =\"33525760\"]\n  11 -> 28 [size =\"33525760\"]\n  11 -> 31 [size =\"33525760\"]\n  11 -> 33 [size =\"33525760\"]\n  11 -> 34 [size =\"33525760\"]\n  11 -> 35 [size =\"33525760\"]\n  11 -> 35 [size =\"33525760\"]\n  12 [size=\"14319616\", alpha=\"0.00\", expect_size=\"7159808\"] \n  12 -> 16 [size =\"7159808\"]\n  12 -> 22 [size =\"7159808\"]\n  12 -> 24 [size =\"7159808\"]\n  12 -> 26 [size =\"7159808\"]\n  12 -> 28 [size =\"7159808\"]\n  12 -> 28 [size =\"7159808\"]\n  12 -> 29 [size =\"7159808\"]\n  12 -> 30 [size =\"7159808\"]\n  12 -> 33 [size =\"7159808\"]\n  12 -> 34 [size =\"7159808\"]\n  13 [size=\"60102656\", alpha=\"0.03\", expect_size=\"30051328\"] \n  13 -> 16 [size =\"30051328\"]\n  13 -> 19 [size =\"30051328\"]\n  13 -> 25 [size =\"30051328\"]\n  13 -> 28 [size =\"30051328\"]\n  13 -> 28 [size =\"30051328\"]\n  13 -> 31 [size =\"30051328\"]\n  13 -> 33 [size =\"30051328\"]\n  13 -> 35 [size =\"30051328\"]\n  14 [size=\"61593600\", alpha=\"0.05\", expect_size=\"30796800\"] \n  14 -> 16 [size =\"30796800\"]\n  14 -> 17 [size =\"30796800\"]\n  14 -> 19 [size =\"30796800\"]\n  14 -> 20 [size =\"30796800\"]\n  14 -> 23 [size =\"30796800\"]\n  14 -> 26 [size =\"30796800\"]\n  14 -> 27 [size =\"30796800\"]\n  14 -> 31 [size =\"30796800\"]\n  14 -> 33 [size =\"30796800\"]\n  15 [size=\"41885696\", alpha=\"0.07\", expect_size=\"20942848\"] \n  15 -> 16 [size =\"20942848\"]\n  15 -> 18 [size =\"20942848\"]\n  15 -> 19 [size =\"20942848\"]\n  15 -> 22 [size =\"20942848\"]\n  15 -> 24 [size =\"20942848\"]\n  15 -> 25 [size =\"20942848\"]\n  15 -> 26 [size =\"20942848\"]\n  15 -> 27 [size =\"20942848\"]\n  15 -> 28 [size =\"20942848\"]\n  15 -> 32 [size =\"20942848\"]\n  15 -> 33 [size =\"20942848\"]\n  15 -> 34 [size =\"20942848\"]\n  15 -> 35 [size =\"20942848\"]\n  15 -> 36 [size =\"20942848\"]\n  16 [size=\"73068544\", alpha=\"0.05\", expect_size=\"36534272\"] \n  16 -> 38 [size =\"36534272\"]\n  16 -> 41 [size =\"36534272\"]\n  16 -> 45 [size =\"36534272\"]\n  16 -> 46 [size =\"36534272\"]\n  16 -> 47 [size =\"36534272\"]\n  16 -> 49 [size =\"36534272\"]\n  16 -> 50 [size =\"36534272\"]\n  17 [size=\"88598528\", alpha=\"0.01\", expect_size=\"44299264\"] \n  17 -> 37 [size =\"44299264\"]\n  17 -> 38 [size =\"44299264\"]\n  17 -> 41 [size =\"44299264\"]\n  17 -> 46 [size =\"44299264\"]\n  18 [size=\"35479552\", alpha=\"0.10\", expect_size=\"17739776\"] \n  18 -> 37 [size =\"17739776\"]\n  18 -> 43 [size =\"17739776\"]\n  18 -> 46 [size =\"17739776\"]\n  18 -> 47 [size =\"17739776\"]\n  18 -> 49 [size =\"17739776\"]\n  19 [size=\"32542720\", alpha=\"0.13\", expect_size=\"16271360\"] \n  19 -> 37 [size =\"16271360\"]\n  19 -> 42 [size =\"16271360\"]\n  19 -> 43 [size =\"16271360\"]\n  19 -> 47 [size =\"16271360\"]\n  19 -> 49 [size =\"16271360\"]\n  19 -> 50 [size =\"16271360\"]\n  20 [size=\"62998528\", alpha=\"0.06\", expect_size=\"31499264\"] \n  20 -> 37 [size =\"31499264\"]\n  20 -> 38 [size =\"31499264\"]\n  20 -> 40 [size =\"31499264\"]\n  20 -> 41 [size =\"31499264\"]\n  20 -> 42 [size =\"31499264\"]\n  20 -> 47 [size =\"31499264\"]\n  20 -> 50 [size =\"31499264\"]\n  21 [size=\"86216704\", alpha=\"0.05\", expect_size=\"43108352\"] \n  21 -> 37 [size =\"43108352\"]\n  21 -> 38 [size =\"43108352\"]\n  21 -> 40 [size =\"43108352\"]\n  21 -> 41 [size =\"43108352\"]\n  21 -> 47 [size =\"43108352\"]\n  21 -> 48 [size =\"43108352\"]\n  21 -> 49 [size =\"43108352\"]\n  21 -> 50 [size =\"43108352\"]\n  22 [size=\"49340416\", alpha=\"0.08\", expect_size=\"24670208\"] \n  22 -> 38 [size =\"24670208\"]\n  22 -> 38 [size =\"24670208\"]\n  22 -> 40 [size =\"24670208\"]\n  22 -> 41 [size =\"24670208\"]\n  22 -> 47 [size =\"24670208\"]\n  22 -> 49 [size =\"24670208\"]\n  22 -> 50 [size =\"24670208\"]\n  23 [size=\"50536448\", alpha=\"0.02\", expect_size=\"25268224\"] \n  23 -> 38 [size =\"25268224\"]\n  23 -> 40 [size =\"25268224\"]\n  23 -> 41 [size =\"25268224\"]\n  23 -> 47 [size =\"25268224\"]\n  23 -> 49 [size =\"25268224\"]\n  23 -> 50 [size =\"25268224\"]\n  24 [size=\"66871296\", alpha=\"0.20\", expect_size=\"33435648\"] \n  24 -> 38 [size =\"33435648\"]\n  24 -> 41 [size =\"33435648\"]\n  24 -> 42 [size =\"33435648\"]\n  24 -> 46 [size =\"33435648\"]\n  24 -> 50 [size =\"33435648\"]\n  24 -> 50 [size =\"33435648\"]\n  25 [size=\"89313280\", alpha=\"0.08\", expect_size=\"44656640\"] \n  25 -> 38 [size =\"44656640\"]\n  25 -> 42 [size =\"44656640\"]\n  25 -> 45 [size =\"44656640\"]\n  25 -> 47 [size =\"44656640\"]\n  25 -> 49 [size =\"44656640\"]\n  25 -> 50 [size =\"44656640\"]\n  26 [size=\"28854272\", alpha=\"0.01\", expect_size=\"14427136\"] \n  26 -> 37 [size =\"14427136\"]\n  26 -> 38 [size =\"14427136\"]\n  26 -> 41 [size =\"14427136\"]\n  26 -> 46 [size =\"14427136\"]\n  26 -> 47 [size =\"14427136\"]\n  26 -> 50 [size =\"14427136\"]\n  27 [size=\"51613696\", alpha=\"0.08\", expect_size=\"25806848\"] \n  27 -> 37 [size =\"25806848\"]\n  27 -> 38 [size =\"25806848\"]\n  27 -> 40 [size =\"25806848\"]\n  27 -> 41 [size =\"25806848\"]\n  27 -> 42 [size =\"25806848\"]\n  27 -> 47 [size =\"25806848\"]\n  27 -> 49 [size =\"25806848\"]\n  27 -> 50 [size =\"25806848\"]\n  28 [size=\"55255040\", alpha=\"0.13\", expect_size=\"27627520\"] \n  28 -> 37 [size =\"27627520\"]\n  28 -> 41 [size =\"27627520\"]\n  28 -> 42 [size =\"27627520\"]\n  28 -> 47 [size =\"27627520\"]\n  28 -> 49 [size =\"27627520\"]\n  28 -> 50 [size =\"27627520\"]\n  29 [size=\"100495360\", alpha=\"0.01\", expect_size=\"50247680\"] \n  29 -> 37 [size =\"50247680\"]\n  29 -> 38 [size =\"50247680\"]\n  29 -> 42 [size =\"50247680\"]\n  29 -> 44 [size =\"50247680\"]\n  29 -> 47 [size =\"50247680\"]\n  29 -> 49 [size =\"50247680\"]\n  30 [size=\"67203072\", alpha=\"0.07\", expect_size=\"33601536\"] \n  30 -> 37 [size =\"33601536\"]\n  30 -> 38 [size =\"33601536\"]\n  30 -> 40 [size =\"33601536\"]\n  30 -> 41 [size =\"33601536\"]\n  30 -> 42 [size =\"33601536\"]\n  30 -> 43 [size =\"33601536\"]\n  30 -> 44 [size =\"33601536\"]\n  30 -> 47 [size =\"33601536\"]\n  30 -> 49 [size =\"33601536\"]\n  31 [size=\"97206272\", alpha=\"0.04\", expect_size=\"48603136\"] \n  31 -> 38 [size =\"48603136\"]\n  31 -> 41 [size =\"48603136\"]\n  31 -> 42 [size =\"48603136\"]\n  31 -> 47 [size =\"48603136\"]\n  31 -> 48 [size =\"48603136\"]\n  31 -> 49 [size =\"48603136\"]\n  31 -> 50 [size =\"48603136\"]\n  32 [size=\"26292224\", alpha=\"0.03\", expect_size=\"13146112\"] \n  32 -> 37 [size =\"13146112\"]\n  32 -> 39 [size =\"13146112\"]\n  32 -> 41 [size =\"13146112\"]\n  32 -> 47 [size =\"13146112\"]\n  32 -> 48 [size =\"13146112\"]\n  32 -> 49 [size =\"13146112\"]\n  32 -> 50 [size =\"13146112\"]\n  33 [size=\"61976576\", alpha=\"0.12\", expect_size=\"30988288\"] \n  33 -> 37 [size =\"30988288\"]\n  33 -> 41 [size =\"30988288\"]\n  33 -> 47 [size =\"30988288\"]\n  33 -> 47 [size =\"30988288\"]\n  33 -> 49 [size =\"30988288\"]\n  33 -> 50 [size =\"30988288\"]\n  33 -> 50 [size =\"30988288\"]\n  34 [size=\"72269824\", alpha=\"0.12\", expect_size=\"36134912\"] \n  34 -> 38 [size =\"36134912\"]\n  34 -> 47 [size =\"36134912\"]\n  34 -> 49 [size =\"36134912\"]\n  35 [size=\"69949440\", alpha=\"0.18\", expect_size=\"34974720\"] \n  35 -> 38 [size =\"34974720\"]\n  35 -> 41 [size =\"34974720\"]\n  35 -> 44 [size =\"34974720\"]\n  35 -> 46 [size =\"34974720\"]\n  36 [size=\"13434880\", alpha=\"0.18\", expect_size=\"6717440\"] \n  36 -> 37 [size =\"6717440\"]\n  36 -> 38 [size =\"6717440\"]\n  36 -> 41 [size =\"6717440\"]\n  36 -> 44 [size =\"6717440\"]\n  36 -> 49 [size =\"6717440\"]\n  37 [size=\"18270208\", alpha=\"0.14\", expect_size=\"9135104\"] \n  38 [size=\"56358912\", alpha=\"0.15\", expect_size=\"28179456\"] \n  39 [size=\"21139456\", alpha=\"0.02\", expect_size=\"10569728\"] \n  40 [size=\"27060224\", alpha=\"0.19\", expect_size=\"13530112\"] \n  41 [size=\"59486208\", alpha=\"0.12\", expect_size=\"29743104\"] \n  42 [size=\"80617472\", alpha=\"0.14\", expect_size=\"40308736\"] \n  43 [size=\"94287872\", alpha=\"0.04\", expect_size=\"47143936\"] \n  44 [size=\"55742464\", alpha=\"0.06\", expect_size=\"27871232\"] \n  45 [size=\"16089088\", alpha=\"0.05\", expect_size=\"8044544\"] \n  46 [size=\"101101568\", alpha=\"0.08\", expect_size=\"50550784\"] \n  47 [size=\"90249216\", alpha=\"0.19\", expect_size=\"45124608\"] \n  48 [size=\"61644800\", alpha=\"0.20\", expect_size=\"30822400\"] \n  49 [size=\"40282112\", alpha=\"0.20\", expect_size=\"20141056\"] \n  50 [size=\"48218112\", alpha=\"0.12\", expect_size=\"24109056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.662.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114877440\", alpha=\"0.15\", expect_size=\"45950976\"] \n  1 -> 39 [size =\"45950976\"]\n  1 -> 40 [size =\"45950976\"]\n  1 -> 47 [size =\"45950976\"]\n  1 -> 48 [size =\"45950976\"]\n  1 -> 49 [size =\"45950976\"]\n  2 [size=\"58688000\", alpha=\"0.10\", expect_size=\"23475200\"] \n  2 -> 39 [size =\"23475200\"]\n  2 -> 47 [size =\"23475200\"]\n  2 -> 48 [size =\"23475200\"]\n  2 -> 50 [size =\"23475200\"]\n  3 [size=\"83914240\", alpha=\"0.04\", expect_size=\"33565696\"] \n  3 -> 41 [size =\"33565696\"]\n  3 -> 43 [size =\"33565696\"]\n  3 -> 44 [size =\"33565696\"]\n  4 [size=\"112719360\", alpha=\"0.13\", expect_size=\"45087744\"] \n  4 -> 43 [size =\"45087744\"]\n  4 -> 44 [size =\"45087744\"]\n  4 -> 46 [size =\"45087744\"]\n  5 [size=\"105126400\", alpha=\"0.10\", expect_size=\"42050560\"] \n  5 -> 39 [size =\"42050560\"]\n  5 -> 48 [size =\"42050560\"]\n  5 -> 50 [size =\"42050560\"]\n  6 [size=\"115217920\", alpha=\"0.14\", expect_size=\"46087168\"] \n  6 -> 38 [size =\"46087168\"]\n  6 -> 40 [size =\"46087168\"]\n  6 -> 41 [size =\"46087168\"]\n  6 -> 43 [size =\"46087168\"]\n  6 -> 46 [size =\"46087168\"]\n  6 -> 50 [size =\"46087168\"]\n  7 [size=\"109493760\", alpha=\"0.04\", expect_size=\"43797504\"] \n  7 -> 40 [size =\"43797504\"]\n  7 -> 41 [size =\"43797504\"]\n  7 -> 43 [size =\"43797504\"]\n  7 -> 43 [size =\"43797504\"]\n  7 -> 46 [size =\"43797504\"]\n  7 -> 47 [size =\"43797504\"]\n  7 -> 50 [size =\"43797504\"]\n  8 [size=\"35345920\", alpha=\"0.08\", expect_size=\"14138368\"] \n  8 -> 41 [size =\"14138368\"]\n  8 -> 43 [size =\"14138368\"]\n  8 -> 43 [size =\"14138368\"]\n  8 -> 45 [size =\"14138368\"]\n  8 -> 48 [size =\"14138368\"]\n  8 -> 49 [size =\"14138368\"]\n  8 -> 50 [size =\"14138368\"]\n  9 [size=\"119175680\", alpha=\"0.07\", expect_size=\"47670272\"] \n  9 -> 38 [size =\"47670272\"]\n  9 -> 45 [size =\"47670272\"]\n  9 -> 46 [size =\"47670272\"]\n  9 -> 49 [size =\"47670272\"]\n  9 -> 50 [size =\"47670272\"]\n  10 [size=\"67729920\", alpha=\"0.02\", expect_size=\"27091968\"] \n  10 -> 39 [size =\"27091968\"]\n  10 -> 40 [size =\"27091968\"]\n  10 -> 41 [size =\"27091968\"]\n  10 -> 45 [size =\"27091968\"]\n  11 [size=\"97423360\", alpha=\"0.10\", expect_size=\"38969344\"] \n  11 -> 39 [size =\"38969344\"]\n  11 -> 43 [size =\"38969344\"]\n  12 [size=\"66037760\", alpha=\"0.08\", expect_size=\"26415104\"] \n  12 -> 39 [size =\"26415104\"]\n  12 -> 40 [size =\"26415104\"]\n  12 -> 41 [size =\"26415104\"]\n  12 -> 48 [size =\"26415104\"]\n  12 -> 49 [size =\"26415104\"]\n  13 [size=\"124633600\", alpha=\"0.04\", expect_size=\"49853440\"] \n  13 -> 41 [size =\"49853440\"]\n  13 -> 46 [size =\"49853440\"]\n  14 [size=\"28285440\", alpha=\"0.13\", expect_size=\"11314176\"] \n  14 -> 39 [size =\"11314176\"]\n  14 -> 41 [size =\"11314176\"]\n  14 -> 42 [size =\"11314176\"]\n  14 -> 43 [size =\"11314176\"]\n  14 -> 45 [size =\"11314176\"]\n  14 -> 46 [size =\"11314176\"]\n  14 -> 48 [size =\"11314176\"]\n  15 [size=\"107676160\", alpha=\"0.12\", expect_size=\"43070464\"] \n  15 -> 43 [size =\"43070464\"]\n  15 -> 47 [size =\"43070464\"]\n  15 -> 48 [size =\"43070464\"]\n  16 [size=\"47569920\", alpha=\"0.05\", expect_size=\"19027968\"] \n  16 -> 39 [size =\"19027968\"]\n  16 -> 46 [size =\"19027968\"]\n  16 -> 48 [size =\"19027968\"]\n  16 -> 50 [size =\"19027968\"]\n  17 [size=\"13655040\", alpha=\"0.11\", expect_size=\"5462016\"] \n  17 -> 48 [size =\"5462016\"]\n  18 [size=\"38609920\", alpha=\"0.08\", expect_size=\"15443968\"] \n  18 -> 41 [size =\"15443968\"]\n  19 [size=\"86947840\", alpha=\"0.00\", expect_size=\"34779136\"] \n  19 -> 43 [size =\"34779136\"]\n  19 -> 46 [size =\"34779136\"]\n  20 [size=\"130063360\", alpha=\"0.02\", expect_size=\"52025344\"] \n  20 -> 39 [size =\"52025344\"]\n  20 -> 44 [size =\"52025344\"]\n  21 [size=\"22451200\", alpha=\"0.01\", expect_size=\"8980480\"] \n  21 -> 40 [size =\"8980480\"]\n  21 -> 41 [size =\"8980480\"]\n  21 -> 44 [size =\"8980480\"]\n  21 -> 48 [size =\"8980480\"]\n  22 [size=\"80391680\", alpha=\"0.08\", expect_size=\"32156672\"] \n  22 -> 38 [size =\"32156672\"]\n  22 -> 41 [size =\"32156672\"]\n  22 -> 45 [size =\"32156672\"]\n  22 -> 47 [size =\"32156672\"]\n  22 -> 50 [size =\"32156672\"]\n  23 [size=\"129459200\", alpha=\"0.07\", expect_size=\"51783680\"] \n  23 -> 45 [size =\"51783680\"]\n  24 [size=\"34076160\", alpha=\"0.03\", expect_size=\"13630464\"] \n  24 -> 39 [size =\"13630464\"]\n  24 -> 40 [size =\"13630464\"]\n  24 -> 41 [size =\"13630464\"]\n  24 -> 43 [size =\"13630464\"]\n  24 -> 45 [size =\"13630464\"]\n  24 -> 46 [size =\"13630464\"]\n  25 [size=\"108994560\", alpha=\"0.14\", expect_size=\"43597824\"] \n  25 -> 39 [size =\"43597824\"]\n  25 -> 40 [size =\"43597824\"]\n  25 -> 43 [size =\"43597824\"]\n  25 -> 43 [size =\"43597824\"]\n  25 -> 47 [size =\"43597824\"]\n  26 [size=\"64235520\", alpha=\"0.03\", expect_size=\"25694208\"] \n  26 -> 43 [size =\"25694208\"]\n  26 -> 46 [size =\"25694208\"]\n  27 [size=\"92500480\", alpha=\"0.08\", expect_size=\"37000192\"] \n  27 -> 40 [size =\"37000192\"]\n  27 -> 43 [size =\"37000192\"]\n  27 -> 46 [size =\"37000192\"]\n  27 -> 47 [size =\"37000192\"]\n  28 [size=\"40629760\", alpha=\"0.17\", expect_size=\"16251904\"] \n  28 -> 39 [size =\"16251904\"]\n  28 -> 41 [size =\"16251904\"]\n  28 -> 45 [size =\"16251904\"]\n  28 -> 46 [size =\"16251904\"]\n  28 -> 47 [size =\"16251904\"]\n  29 [size=\"88069120\", alpha=\"0.03\", expect_size=\"35227648\"] \n  29 -> 38 [size =\"35227648\"]\n  29 -> 39 [size =\"35227648\"]\n  29 -> 44 [size =\"35227648\"]\n  29 -> 46 [size =\"35227648\"]\n  29 -> 47 [size =\"35227648\"]\n  29 -> 48 [size =\"35227648\"]\n  30 [size=\"90429440\", alpha=\"0.19\", expect_size=\"36171776\"] \n  30 -> 38 [size =\"36171776\"]\n  30 -> 39 [size =\"36171776\"]\n  30 -> 40 [size =\"36171776\"]\n  30 -> 41 [size =\"36171776\"]\n  30 -> 43 [size =\"36171776\"]\n  30 -> 46 [size =\"36171776\"]\n  31 [size=\"103856640\", alpha=\"0.10\", expect_size=\"41542656\"] \n  31 -> 38 [size =\"41542656\"]\n  31 -> 39 [size =\"41542656\"]\n  31 -> 46 [size =\"41542656\"]\n  31 -> 47 [size =\"41542656\"]\n  31 -> 49 [size =\"41542656\"]\n  31 -> 50 [size =\"41542656\"]\n  32 [size=\"112151040\", alpha=\"0.09\", expect_size=\"44860416\"] \n  32 -> 38 [size =\"44860416\"]\n  32 -> 41 [size =\"44860416\"]\n  32 -> 45 [size =\"44860416\"]\n  32 -> 48 [size =\"44860416\"]\n  32 -> 49 [size =\"44860416\"]\n  33 [size=\"42933760\", alpha=\"0.07\", expect_size=\"17173504\"] \n  33 -> 39 [size =\"17173504\"]\n  33 -> 46 [size =\"17173504\"]\n  33 -> 47 [size =\"17173504\"]\n  34 [size=\"84976640\", alpha=\"0.08\", expect_size=\"33990656\"] \n  34 -> 39 [size =\"33990656\"]\n  34 -> 44 [size =\"33990656\"]\n  34 -> 47 [size =\"33990656\"]\n  35 [size=\"101964800\", alpha=\"0.05\", expect_size=\"40785920\"] \n  35 -> 44 [size =\"40785920\"]\n  35 -> 47 [size =\"40785920\"]\n  35 -> 48 [size =\"40785920\"]\n  36 [size=\"67955200\", alpha=\"0.08\", expect_size=\"27182080\"] \n  36 -> 39 [size =\"27182080\"]\n  36 -> 41 [size =\"27182080\"]\n  36 -> 46 [size =\"27182080\"]\n  36 -> 47 [size =\"27182080\"]\n  37 [size=\"85058560\", alpha=\"0.10\", expect_size=\"34023424\"] \n  37 -> 40 [size =\"34023424\"]\n  37 -> 41 [size =\"34023424\"]\n  37 -> 43 [size =\"34023424\"]\n  37 -> 48 [size =\"34023424\"]\n  38 [size=\"13731840\", alpha=\"0.17\", expect_size=\"5492736\"] \n  39 [size=\"112143360\", alpha=\"0.17\", expect_size=\"44857344\"] \n  40 [size=\"14507520\", alpha=\"0.16\", expect_size=\"5803008\"] \n  41 [size=\"129338880\", alpha=\"0.17\", expect_size=\"51735552\"] \n  42 [size=\"69099520\", alpha=\"0.10\", expect_size=\"27639808\"] \n  43 [size=\"122647040\", alpha=\"0.02\", expect_size=\"49058816\"] \n  44 [size=\"47616000\", alpha=\"0.18\", expect_size=\"19046400\"] \n  45 [size=\"95119360\", alpha=\"0.10\", expect_size=\"38047744\"] \n  46 [size=\"123793920\", alpha=\"0.10\", expect_size=\"49517568\"] \n  47 [size=\"50137600\", alpha=\"0.04\", expect_size=\"20055040\"] \n  48 [size=\"110632960\", alpha=\"0.03\", expect_size=\"44253184\"] \n  49 [size=\"94850560\", alpha=\"0.14\", expect_size=\"37940224\"] \n  50 [size=\"76636160\", alpha=\"0.19\", expect_size=\"30654464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.663.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"24117760\", alpha=\"0.03\", expect_size=\"9647104\"] \n  1 -> 22 [size =\"9647104\"]\n  1 -> 24 [size =\"9647104\"]\n  1 -> 28 [size =\"9647104\"]\n  1 -> 29 [size =\"9647104\"]\n  2 [size=\"81118720\", alpha=\"0.19\", expect_size=\"32447488\"] \n  2 -> 20 [size =\"32447488\"]\n  2 -> 21 [size =\"32447488\"]\n  2 -> 27 [size =\"32447488\"]\n  3 [size=\"94522880\", alpha=\"0.05\", expect_size=\"37809152\"] \n  3 -> 17 [size =\"37809152\"]\n  3 -> 21 [size =\"37809152\"]\n  3 -> 22 [size =\"37809152\"]\n  3 -> 25 [size =\"37809152\"]\n  3 -> 27 [size =\"37809152\"]\n  3 -> 28 [size =\"37809152\"]\n  3 -> 29 [size =\"37809152\"]\n  4 [size=\"44065280\", alpha=\"0.18\", expect_size=\"17626112\"] \n  4 -> 17 [size =\"17626112\"]\n  4 -> 22 [size =\"17626112\"]\n  4 -> 27 [size =\"17626112\"]\n  4 -> 29 [size =\"17626112\"]\n  5 [size=\"111864320\", alpha=\"0.20\", expect_size=\"44745728\"] \n  5 -> 20 [size =\"44745728\"]\n  5 -> 22 [size =\"44745728\"]\n  5 -> 29 [size =\"44745728\"]\n  5 -> 29 [size =\"44745728\"]\n  6 [size=\"74076160\", alpha=\"0.08\", expect_size=\"29630464\"] \n  6 -> 18 [size =\"29630464\"]\n  6 -> 20 [size =\"29630464\"]\n  6 -> 21 [size =\"29630464\"]\n  6 -> 25 [size =\"29630464\"]\n  6 -> 27 [size =\"29630464\"]\n  6 -> 28 [size =\"29630464\"]\n  6 -> 29 [size =\"29630464\"]\n  7 [size=\"83240960\", alpha=\"0.16\", expect_size=\"33296384\"] \n  7 -> 18 [size =\"33296384\"]\n  7 -> 19 [size =\"33296384\"]\n  7 -> 20 [size =\"33296384\"]\n  7 -> 21 [size =\"33296384\"]\n  7 -> 25 [size =\"33296384\"]\n  7 -> 27 [size =\"33296384\"]\n  7 -> 28 [size =\"33296384\"]\n  7 -> 29 [size =\"33296384\"]\n  8 [size=\"53434880\", alpha=\"0.20\", expect_size=\"21373952\"] \n  8 -> 18 [size =\"21373952\"]\n  8 -> 20 [size =\"21373952\"]\n  8 -> 21 [size =\"21373952\"]\n  8 -> 21 [size =\"21373952\"]\n  8 -> 22 [size =\"21373952\"]\n  8 -> 23 [size =\"21373952\"]\n  8 -> 25 [size =\"21373952\"]\n  9 [size=\"15406080\", alpha=\"0.16\", expect_size=\"6162432\"] \n  9 -> 17 [size =\"6162432\"]\n  9 -> 19 [size =\"6162432\"]\n  9 -> 21 [size =\"6162432\"]\n  10 [size=\"66557440\", alpha=\"0.05\", expect_size=\"26622976\"] \n  10 -> 17 [size =\"26622976\"]\n  10 -> 22 [size =\"26622976\"]\n  10 -> 28 [size =\"26622976\"]\n  11 [size=\"129932800\", alpha=\"0.11\", expect_size=\"51973120\"] \n  11 -> 22 [size =\"51973120\"]\n  11 -> 22 [size =\"51973120\"]\n  11 -> 27 [size =\"51973120\"]\n  11 -> 29 [size =\"51973120\"]\n  12 [size=\"28395520\", alpha=\"0.06\", expect_size=\"11358208\"] \n  12 -> 16 [size =\"11358208\"]\n  12 -> 19 [size =\"11358208\"]\n  12 -> 20 [size =\"11358208\"]\n  12 -> 21 [size =\"11358208\"]\n  12 -> 22 [size =\"11358208\"]\n  12 -> 23 [size =\"11358208\"]\n  12 -> 24 [size =\"11358208\"]\n  12 -> 26 [size =\"11358208\"]\n  13 [size=\"20828160\", alpha=\"0.19\", expect_size=\"8331264\"] \n  13 -> 17 [size =\"8331264\"]\n  13 -> 18 [size =\"8331264\"]\n  13 -> 21 [size =\"8331264\"]\n  13 -> 28 [size =\"8331264\"]\n  14 [size=\"48614400\", alpha=\"0.04\", expect_size=\"19445760\"] \n  14 -> 15 [size =\"19445760\"]\n  14 -> 17 [size =\"19445760\"]\n  14 -> 18 [size =\"19445760\"]\n  14 -> 21 [size =\"19445760\"]\n  14 -> 22 [size =\"19445760\"]\n  14 -> 27 [size =\"19445760\"]\n  14 -> 28 [size =\"19445760\"]\n  15 [size=\"35870720\", alpha=\"0.11\", expect_size=\"14348288\"] \n  15 -> 36 [size =\"14348288\"]\n  15 -> 37 [size =\"14348288\"]\n  15 -> 42 [size =\"14348288\"]\n  16 [size=\"34723840\", alpha=\"0.20\", expect_size=\"13889536\"] \n  16 -> 31 [size =\"13889536\"]\n  16 -> 32 [size =\"13889536\"]\n  16 -> 34 [size =\"13889536\"]\n  16 -> 35 [size =\"13889536\"]\n  16 -> 38 [size =\"13889536\"]\n  16 -> 39 [size =\"13889536\"]\n  16 -> 41 [size =\"13889536\"]\n  16 -> 42 [size =\"13889536\"]\n  17 [size=\"83189760\", alpha=\"0.18\", expect_size=\"33275904\"] \n  17 -> 31 [size =\"33275904\"]\n  17 -> 34 [size =\"33275904\"]\n  17 -> 35 [size =\"33275904\"]\n  17 -> 36 [size =\"33275904\"]\n  17 -> 37 [size =\"33275904\"]\n  17 -> 38 [size =\"33275904\"]\n  17 -> 41 [size =\"33275904\"]\n  17 -> 42 [size =\"33275904\"]\n  17 -> 43 [size =\"33275904\"]\n  18 [size=\"57136640\", alpha=\"0.04\", expect_size=\"22854656\"] \n  18 -> 31 [size =\"22854656\"]\n  18 -> 35 [size =\"22854656\"]\n  18 -> 36 [size =\"22854656\"]\n  18 -> 38 [size =\"22854656\"]\n  18 -> 39 [size =\"22854656\"]\n  18 -> 41 [size =\"22854656\"]\n  18 -> 42 [size =\"22854656\"]\n  19 [size=\"55057920\", alpha=\"0.05\", expect_size=\"22023168\"] \n  19 -> 32 [size =\"22023168\"]\n  19 -> 33 [size =\"22023168\"]\n  19 -> 39 [size =\"22023168\"]\n  19 -> 41 [size =\"22023168\"]\n  19 -> 42 [size =\"22023168\"]\n  20 [size=\"30730240\", alpha=\"0.17\", expect_size=\"12292096\"] \n  20 -> 32 [size =\"12292096\"]\n  20 -> 33 [size =\"12292096\"]\n  20 -> 41 [size =\"12292096\"]\n  21 [size=\"60807680\", alpha=\"0.12\", expect_size=\"24323072\"] \n  21 -> 31 [size =\"24323072\"]\n  21 -> 32 [size =\"24323072\"]\n  21 -> 33 [size =\"24323072\"]\n  21 -> 34 [size =\"24323072\"]\n  21 -> 35 [size =\"24323072\"]\n  21 -> 39 [size =\"24323072\"]\n  22 [size=\"128601600\", alpha=\"0.18\", expect_size=\"51440640\"] \n  22 -> 32 [size =\"51440640\"]\n  22 -> 33 [size =\"51440640\"]\n  22 -> 34 [size =\"51440640\"]\n  22 -> 35 [size =\"51440640\"]\n  22 -> 37 [size =\"51440640\"]\n  22 -> 38 [size =\"51440640\"]\n  22 -> 39 [size =\"51440640\"]\n  23 [size=\"43171840\", alpha=\"0.17\", expect_size=\"17268736\"] \n  23 -> 34 [size =\"17268736\"]\n  23 -> 35 [size =\"17268736\"]\n  23 -> 36 [size =\"17268736\"]\n  23 -> 37 [size =\"17268736\"]\n  23 -> 38 [size =\"17268736\"]\n  23 -> 38 [size =\"17268736\"]\n  23 -> 42 [size =\"17268736\"]\n  24 [size=\"35125760\", alpha=\"0.02\", expect_size=\"14050304\"] \n  24 -> 33 [size =\"14050304\"]\n  24 -> 34 [size =\"14050304\"]\n  24 -> 38 [size =\"14050304\"]\n  24 -> 41 [size =\"14050304\"]\n  25 [size=\"56389120\", alpha=\"0.04\", expect_size=\"22555648\"] \n  25 -> 30 [size =\"22555648\"]\n  25 -> 32 [size =\"22555648\"]\n  25 -> 33 [size =\"22555648\"]\n  25 -> 34 [size =\"22555648\"]\n  25 -> 36 [size =\"22555648\"]\n  25 -> 37 [size =\"22555648\"]\n  25 -> 38 [size =\"22555648\"]\n  25 -> 39 [size =\"22555648\"]\n  25 -> 40 [size =\"22555648\"]\n  25 -> 42 [size =\"22555648\"]\n  26 [size=\"122035200\", alpha=\"0.16\", expect_size=\"48814080\"] \n  26 -> 34 [size =\"48814080\"]\n  26 -> 36 [size =\"48814080\"]\n  26 -> 37 [size =\"48814080\"]\n  26 -> 38 [size =\"48814080\"]\n  26 -> 39 [size =\"48814080\"]\n  26 -> 42 [size =\"48814080\"]\n  27 [size=\"121648640\", alpha=\"0.20\", expect_size=\"48659456\"] \n  27 -> 31 [size =\"48659456\"]\n  27 -> 36 [size =\"48659456\"]\n  27 -> 38 [size =\"48659456\"]\n  27 -> 41 [size =\"48659456\"]\n  28 [size=\"110028800\", alpha=\"0.10\", expect_size=\"44011520\"] \n  28 -> 31 [size =\"44011520\"]\n  28 -> 32 [size =\"44011520\"]\n  28 -> 33 [size =\"44011520\"]\n  28 -> 38 [size =\"44011520\"]\n  29 [size=\"14361600\", alpha=\"0.02\", expect_size=\"5744640\"] \n  29 -> 32 [size =\"5744640\"]\n  29 -> 32 [size =\"5744640\"]\n  29 -> 34 [size =\"5744640\"]\n  29 -> 36 [size =\"5744640\"]\n  29 -> 42 [size =\"5744640\"]\n  30 [size=\"42949120\", alpha=\"0.02\", expect_size=\"17179648\"] \n  30 -> 45 [size =\"17179648\"]\n  30 -> 47 [size =\"17179648\"]\n  30 -> 49 [size =\"17179648\"]\n  30 -> 50 [size =\"17179648\"]\n  31 [size=\"27164160\", alpha=\"0.02\", expect_size=\"10865664\"] \n  31 -> 45 [size =\"10865664\"]\n  31 -> 46 [size =\"10865664\"]\n  31 -> 47 [size =\"10865664\"]\n  31 -> 49 [size =\"10865664\"]\n  31 -> 50 [size =\"10865664\"]\n  32 [size=\"95982080\", alpha=\"0.04\", expect_size=\"38392832\"] \n  32 -> 46 [size =\"38392832\"]\n  32 -> 49 [size =\"38392832\"]\n  33 [size=\"81489920\", alpha=\"0.08\", expect_size=\"32595968\"] \n  33 -> 44 [size =\"32595968\"]\n  34 [size=\"65098240\", alpha=\"0.18\", expect_size=\"26039296\"] \n  34 -> 47 [size =\"26039296\"]\n  34 -> 48 [size =\"26039296\"]\n  34 -> 49 [size =\"26039296\"]\n  35 [size=\"77770240\", alpha=\"0.12\", expect_size=\"31108096\"] \n  35 -> 47 [size =\"31108096\"]\n  35 -> 48 [size =\"31108096\"]\n  35 -> 49 [size =\"31108096\"]\n  36 [size=\"100298240\", alpha=\"0.09\", expect_size=\"40119296\"] \n  36 -> 45 [size =\"40119296\"]\n  36 -> 47 [size =\"40119296\"]\n  36 -> 48 [size =\"40119296\"]\n  36 -> 49 [size =\"40119296\"]\n  36 -> 50 [size =\"40119296\"]\n  37 [size=\"75683840\", alpha=\"0.19\", expect_size=\"30273536\"] \n  37 -> 45 [size =\"30273536\"]\n  37 -> 47 [size =\"30273536\"]\n  37 -> 49 [size =\"30273536\"]\n  38 [size=\"74065920\", alpha=\"0.16\", expect_size=\"29626368\"] \n  38 -> 45 [size =\"29626368\"]\n  38 -> 49 [size =\"29626368\"]\n  39 [size=\"17804800\", alpha=\"0.19\", expect_size=\"7121920\"] \n  39 -> 45 [size =\"7121920\"]\n  39 -> 49 [size =\"7121920\"]\n  40 [size=\"27171840\", alpha=\"0.06\", expect_size=\"10868736\"] \n  40 -> 44 [size =\"10868736\"]\n  40 -> 45 [size =\"10868736\"]\n  41 [size=\"37649920\", alpha=\"0.01\", expect_size=\"15059968\"] \n  41 -> 45 [size =\"15059968\"]\n  41 -> 47 [size =\"15059968\"]\n  41 -> 48 [size =\"15059968\"]\n  42 [size=\"48099840\", alpha=\"0.16\", expect_size=\"19239936\"] \n  42 -> 47 [size =\"19239936\"]\n  43 [size=\"73815040\", alpha=\"0.15\", expect_size=\"29526016\"] \n  43 -> 45 [size =\"29526016\"]\n  43 -> 48 [size =\"29526016\"]\n  43 -> 49 [size =\"29526016\"]\n  43 -> 50 [size =\"29526016\"]\n  44 [size=\"122516480\", alpha=\"0.19\", expect_size=\"49006592\"] \n  45 [size=\"111744000\", alpha=\"0.10\", expect_size=\"44697600\"] \n  46 [size=\"64268800\", alpha=\"0.19\", expect_size=\"25707520\"] \n  47 [size=\"119667200\", alpha=\"0.06\", expect_size=\"47866880\"] \n  48 [size=\"112097280\", alpha=\"0.10\", expect_size=\"44838912\"] \n  49 [size=\"85588480\", alpha=\"0.15\", expect_size=\"34235392\"] \n  50 [size=\"82088960\", alpha=\"0.04\", expect_size=\"32835584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.664.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28238507\", alpha=\"0.09\", expect_size=\"8471552\"] \n  1 -> 34 [size =\"8471552\"]\n  1 -> 34 [size =\"8471552\"]\n  1 -> 38 [size =\"8471552\"]\n  1 -> 39 [size =\"8471552\"]\n  1 -> 45 [size =\"8471552\"]\n  1 -> 46 [size =\"8471552\"]\n  1 -> 47 [size =\"8471552\"]\n  1 -> 50 [size =\"8471552\"]\n  2 [size=\"137618773\", alpha=\"0.13\", expect_size=\"41285632\"] \n  2 -> 33 [size =\"41285632\"]\n  2 -> 39 [size =\"41285632\"]\n  2 -> 46 [size =\"41285632\"]\n  2 -> 47 [size =\"41285632\"]\n  2 -> 49 [size =\"41285632\"]\n  3 [size=\"67058347\", alpha=\"0.04\", expect_size=\"20117504\"] \n  3 -> 31 [size =\"20117504\"]\n  3 -> 32 [size =\"20117504\"]\n  3 -> 33 [size =\"20117504\"]\n  3 -> 36 [size =\"20117504\"]\n  3 -> 37 [size =\"20117504\"]\n  3 -> 40 [size =\"20117504\"]\n  3 -> 43 [size =\"20117504\"]\n  3 -> 45 [size =\"20117504\"]\n  3 -> 46 [size =\"20117504\"]\n  4 [size=\"93556053\", alpha=\"0.07\", expect_size=\"28066816\"] \n  4 -> 31 [size =\"28066816\"]\n  4 -> 32 [size =\"28066816\"]\n  4 -> 33 [size =\"28066816\"]\n  4 -> 38 [size =\"28066816\"]\n  4 -> 39 [size =\"28066816\"]\n  4 -> 42 [size =\"28066816\"]\n  4 -> 45 [size =\"28066816\"]\n  4 -> 47 [size =\"28066816\"]\n  4 -> 49 [size =\"28066816\"]\n  5 [size=\"133331627\", alpha=\"0.14\", expect_size=\"39999488\"] \n  5 -> 31 [size =\"39999488\"]\n  5 -> 33 [size =\"39999488\"]\n  5 -> 33 [size =\"39999488\"]\n  5 -> 34 [size =\"39999488\"]\n  5 -> 38 [size =\"39999488\"]\n  5 -> 39 [size =\"39999488\"]\n  5 -> 42 [size =\"39999488\"]\n  5 -> 45 [size =\"39999488\"]\n  5 -> 47 [size =\"39999488\"]\n  5 -> 48 [size =\"39999488\"]\n  6 [size=\"82104320\", alpha=\"0.17\", expect_size=\"24631296\"] \n  6 -> 31 [size =\"24631296\"]\n  6 -> 33 [size =\"24631296\"]\n  6 -> 37 [size =\"24631296\"]\n  6 -> 39 [size =\"24631296\"]\n  6 -> 47 [size =\"24631296\"]\n  7 [size=\"110667093\", alpha=\"0.10\", expect_size=\"33200128\"] \n  7 -> 31 [size =\"33200128\"]\n  7 -> 33 [size =\"33200128\"]\n  7 -> 34 [size =\"33200128\"]\n  7 -> 38 [size =\"33200128\"]\n  7 -> 39 [size =\"33200128\"]\n  7 -> 40 [size =\"33200128\"]\n  7 -> 46 [size =\"33200128\"]\n  7 -> 47 [size =\"33200128\"]\n  8 [size=\"42062507\", alpha=\"0.06\", expect_size=\"12618752\"] \n  8 -> 31 [size =\"12618752\"]\n  8 -> 33 [size =\"12618752\"]\n  8 -> 34 [size =\"12618752\"]\n  8 -> 35 [size =\"12618752\"]\n  8 -> 37 [size =\"12618752\"]\n  8 -> 39 [size =\"12618752\"]\n  8 -> 45 [size =\"12618752\"]\n  8 -> 47 [size =\"12618752\"]\n  8 -> 48 [size =\"12618752\"]\n  8 -> 49 [size =\"12618752\"]\n  9 [size=\"130464427\", alpha=\"0.04\", expect_size=\"39139328\"] \n  9 -> 31 [size =\"39139328\"]\n  9 -> 32 [size =\"39139328\"]\n  9 -> 33 [size =\"39139328\"]\n  9 -> 39 [size =\"39139328\"]\n  9 -> 43 [size =\"39139328\"]\n  9 -> 47 [size =\"39139328\"]\n  10 [size=\"48114347\", alpha=\"0.07\", expect_size=\"14434304\"] \n  10 -> 31 [size =\"14434304\"]\n  10 -> 33 [size =\"14434304\"]\n  10 -> 34 [size =\"14434304\"]\n  10 -> 37 [size =\"14434304\"]\n  10 -> 39 [size =\"14434304\"]\n  10 -> 40 [size =\"14434304\"]\n  10 -> 42 [size =\"14434304\"]\n  10 -> 47 [size =\"14434304\"]\n  11 [size=\"110950400\", alpha=\"0.01\", expect_size=\"33285120\"] \n  11 -> 31 [size =\"33285120\"]\n  11 -> 34 [size =\"33285120\"]\n  11 -> 39 [size =\"33285120\"]\n  11 -> 41 [size =\"33285120\"]\n  11 -> 47 [size =\"33285120\"]\n  12 [size=\"26763947\", alpha=\"0.18\", expect_size=\"8029184\"] \n  12 -> 31 [size =\"8029184\"]\n  12 -> 33 [size =\"8029184\"]\n  12 -> 39 [size =\"8029184\"]\n  12 -> 44 [size =\"8029184\"]\n  12 -> 47 [size =\"8029184\"]\n  12 -> 49 [size =\"8029184\"]\n  13 [size=\"132225707\", alpha=\"0.00\", expect_size=\"39667712\"] \n  13 -> 31 [size =\"39667712\"]\n  13 -> 33 [size =\"39667712\"]\n  13 -> 34 [size =\"39667712\"]\n  13 -> 36 [size =\"39667712\"]\n  13 -> 38 [size =\"39667712\"]\n  13 -> 39 [size =\"39667712\"]\n  13 -> 46 [size =\"39667712\"]\n  13 -> 47 [size =\"39667712\"]\n  13 -> 49 [size =\"39667712\"]\n  13 -> 50 [size =\"39667712\"]\n  14 [size=\"165833387\", alpha=\"0.01\", expect_size=\"49750016\"] \n  14 -> 31 [size =\"49750016\"]\n  14 -> 33 [size =\"49750016\"]\n  14 -> 35 [size =\"49750016\"]\n  14 -> 39 [size =\"49750016\"]\n  14 -> 46 [size =\"49750016\"]\n  14 -> 47 [size =\"49750016\"]\n  14 -> 49 [size =\"49750016\"]\n  15 [size=\"66938880\", alpha=\"0.17\", expect_size=\"20081664\"] \n  15 -> 31 [size =\"20081664\"]\n  15 -> 33 [size =\"20081664\"]\n  15 -> 35 [size =\"20081664\"]\n  15 -> 38 [size =\"20081664\"]\n  15 -> 39 [size =\"20081664\"]\n  15 -> 43 [size =\"20081664\"]\n  15 -> 45 [size =\"20081664\"]\n  15 -> 49 [size =\"20081664\"]\n  16 [size=\"20770133\", alpha=\"0.15\", expect_size=\"6231040\"] \n  16 -> 31 [size =\"6231040\"]\n  16 -> 38 [size =\"6231040\"]\n  16 -> 39 [size =\"6231040\"]\n  16 -> 43 [size =\"6231040\"]\n  16 -> 49 [size =\"6231040\"]\n  16 -> 50 [size =\"6231040\"]\n  17 [size=\"154077867\", alpha=\"0.16\", expect_size=\"46223360\"] \n  17 -> 31 [size =\"46223360\"]\n  17 -> 38 [size =\"46223360\"]\n  17 -> 39 [size =\"46223360\"]\n  17 -> 40 [size =\"46223360\"]\n  17 -> 45 [size =\"46223360\"]\n  17 -> 49 [size =\"46223360\"]\n  18 [size=\"76724907\", alpha=\"0.10\", expect_size=\"23017472\"] \n  18 -> 32 [size =\"23017472\"]\n  18 -> 33 [size =\"23017472\"]\n  18 -> 36 [size =\"23017472\"]\n  18 -> 38 [size =\"23017472\"]\n  18 -> 40 [size =\"23017472\"]\n  18 -> 44 [size =\"23017472\"]\n  18 -> 49 [size =\"23017472\"]\n  19 [size=\"125436587\", alpha=\"0.08\", expect_size=\"37630976\"] \n  19 -> 31 [size =\"37630976\"]\n  19 -> 32 [size =\"37630976\"]\n  19 -> 36 [size =\"37630976\"]\n  19 -> 42 [size =\"37630976\"]\n  19 -> 44 [size =\"37630976\"]\n  20 [size=\"159262720\", alpha=\"0.19\", expect_size=\"47778816\"] \n  20 -> 31 [size =\"47778816\"]\n  20 -> 37 [size =\"47778816\"]\n  20 -> 39 [size =\"47778816\"]\n  20 -> 45 [size =\"47778816\"]\n  20 -> 47 [size =\"47778816\"]\n  20 -> 49 [size =\"47778816\"]\n  21 [size=\"59671893\", alpha=\"0.11\", expect_size=\"17901568\"] \n  21 -> 31 [size =\"17901568\"]\n  21 -> 32 [size =\"17901568\"]\n  21 -> 33 [size =\"17901568\"]\n  21 -> 34 [size =\"17901568\"]\n  21 -> 39 [size =\"17901568\"]\n  21 -> 45 [size =\"17901568\"]\n  21 -> 47 [size =\"17901568\"]\n  21 -> 48 [size =\"17901568\"]\n  21 -> 49 [size =\"17901568\"]\n  22 [size=\"66887680\", alpha=\"0.18\", expect_size=\"20066304\"] \n  22 -> 31 [size =\"20066304\"]\n  22 -> 39 [size =\"20066304\"]\n  22 -> 40 [size =\"20066304\"]\n  22 -> 46 [size =\"20066304\"]\n  22 -> 47 [size =\"20066304\"]\n  23 [size=\"52568747\", alpha=\"0.12\", expect_size=\"15770624\"] \n  23 -> 31 [size =\"15770624\"]\n  23 -> 32 [size =\"15770624\"]\n  23 -> 33 [size =\"15770624\"]\n  23 -> 36 [size =\"15770624\"]\n  23 -> 39 [size =\"15770624\"]\n  23 -> 40 [size =\"15770624\"]\n  23 -> 42 [size =\"15770624\"]\n  23 -> 43 [size =\"15770624\"]\n  23 -> 47 [size =\"15770624\"]\n  24 [size=\"55125333\", alpha=\"0.15\", expect_size=\"16537600\"] \n  24 -> 31 [size =\"16537600\"]\n  24 -> 32 [size =\"16537600\"]\n  24 -> 34 [size =\"16537600\"]\n  24 -> 39 [size =\"16537600\"]\n  24 -> 40 [size =\"16537600\"]\n  24 -> 45 [size =\"16537600\"]\n  24 -> 46 [size =\"16537600\"]\n  24 -> 47 [size =\"16537600\"]\n  24 -> 47 [size =\"16537600\"]\n  24 -> 49 [size =\"16537600\"]\n  24 -> 50 [size =\"16537600\"]\n  25 [size=\"64071680\", alpha=\"0.13\", expect_size=\"19221504\"] \n  25 -> 31 [size =\"19221504\"]\n  25 -> 32 [size =\"19221504\"]\n  25 -> 38 [size =\"19221504\"]\n  25 -> 40 [size =\"19221504\"]\n  25 -> 40 [size =\"19221504\"]\n  25 -> 46 [size =\"19221504\"]\n  25 -> 47 [size =\"19221504\"]\n  25 -> 47 [size =\"19221504\"]\n  26 [size=\"43789653\", alpha=\"0.19\", expect_size=\"13136896\"] \n  26 -> 38 [size =\"13136896\"]\n  26 -> 39 [size =\"13136896\"]\n  26 -> 40 [size =\"13136896\"]\n  26 -> 45 [size =\"13136896\"]\n  27 [size=\"161966080\", alpha=\"0.17\", expect_size=\"48589824\"] \n  27 -> 31 [size =\"48589824\"]\n  27 -> 33 [size =\"48589824\"]\n  27 -> 38 [size =\"48589824\"]\n  27 -> 40 [size =\"48589824\"]\n  27 -> 42 [size =\"48589824\"]\n  27 -> 50 [size =\"48589824\"]\n  28 [size=\"126586880\", alpha=\"0.19\", expect_size=\"37976064\"] \n  28 -> 33 [size =\"37976064\"]\n  28 -> 37 [size =\"37976064\"]\n  28 -> 38 [size =\"37976064\"]\n  28 -> 39 [size =\"37976064\"]\n  28 -> 40 [size =\"37976064\"]\n  28 -> 46 [size =\"37976064\"]\n  28 -> 47 [size =\"37976064\"]\n  29 [size=\"50909867\", alpha=\"0.14\", expect_size=\"15272960\"] \n  29 -> 31 [size =\"15272960\"]\n  29 -> 33 [size =\"15272960\"]\n  29 -> 34 [size =\"15272960\"]\n  29 -> 37 [size =\"15272960\"]\n  29 -> 38 [size =\"15272960\"]\n  29 -> 39 [size =\"15272960\"]\n  29 -> 40 [size =\"15272960\"]\n  29 -> 42 [size =\"15272960\"]\n  29 -> 46 [size =\"15272960\"]\n  29 -> 49 [size =\"15272960\"]\n  30 [size=\"113657173\", alpha=\"0.14\", expect_size=\"34097152\"] \n  30 -> 31 [size =\"34097152\"]\n  30 -> 34 [size =\"34097152\"]\n  30 -> 38 [size =\"34097152\"]\n  30 -> 39 [size =\"34097152\"]\n  30 -> 42 [size =\"34097152\"]\n  30 -> 46 [size =\"34097152\"]\n  31 [size=\"103130453\", alpha=\"0.05\", expect_size=\"30939136\"] \n  32 [size=\"30095360\", alpha=\"0.18\", expect_size=\"9028608\"] \n  33 [size=\"171973973\", alpha=\"0.05\", expect_size=\"51592192\"] \n  34 [size=\"106499413\", alpha=\"0.11\", expect_size=\"31949824\"] \n  35 [size=\"67037867\", alpha=\"0.03\", expect_size=\"20111360\"] \n  36 [size=\"169441280\", alpha=\"0.16\", expect_size=\"50832384\"] \n  37 [size=\"163771733\", alpha=\"0.06\", expect_size=\"49131520\"] \n  38 [size=\"143223467\", alpha=\"0.04\", expect_size=\"42967040\"] \n  39 [size=\"132382720\", alpha=\"0.15\", expect_size=\"39714816\"] \n  40 [size=\"86954667\", alpha=\"0.04\", expect_size=\"26086400\"] \n  41 [size=\"37577387\", alpha=\"0.19\", expect_size=\"11273216\"] \n  42 [size=\"77731840\", alpha=\"0.00\", expect_size=\"23319552\"] \n  43 [size=\"59419307\", alpha=\"0.06\", expect_size=\"17825792\"] \n  44 [size=\"97389227\", alpha=\"0.16\", expect_size=\"29216768\"] \n  45 [size=\"25432747\", alpha=\"0.12\", expect_size=\"7629824\"] \n  46 [size=\"50292053\", alpha=\"0.12\", expect_size=\"15087616\"] \n  47 [size=\"17981440\", alpha=\"0.10\", expect_size=\"5394432\"] \n  48 [size=\"65102507\", alpha=\"0.01\", expect_size=\"19530752\"] \n  49 [size=\"93617493\", alpha=\"0.18\", expect_size=\"28085248\"] \n  50 [size=\"54200320\", alpha=\"0.06\", expect_size=\"16260096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.665.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135461547\", alpha=\"0.09\", expect_size=\"40638464\"] \n  1 -> 4 [size =\"40638464\"]\n  1 -> 6 [size =\"40638464\"]\n  2 [size=\"82565120\", alpha=\"0.16\", expect_size=\"24769536\"] \n  2 -> 5 [size =\"24769536\"]\n  2 -> 6 [size =\"24769536\"]\n  3 [size=\"42011307\", alpha=\"0.18\", expect_size=\"12603392\"] \n  3 -> 4 [size =\"12603392\"]\n  4 [size=\"150213973\", alpha=\"0.16\", expect_size=\"45064192\"] \n  4 -> 8 [size =\"45064192\"]\n  5 [size=\"107697493\", alpha=\"0.12\", expect_size=\"32309248\"] \n  5 -> 7 [size =\"32309248\"]\n  5 -> 8 [size =\"32309248\"]\n  6 [size=\"82162347\", alpha=\"0.14\", expect_size=\"24648704\"] \n  6 -> 7 [size =\"24648704\"]\n  7 [size=\"45417813\", alpha=\"0.10\", expect_size=\"13625344\"] \n  7 -> 9 [size =\"13625344\"]\n  7 -> 10 [size =\"13625344\"]\n  7 -> 11 [size =\"13625344\"]\n  8 [size=\"83104427\", alpha=\"0.07\", expect_size=\"24931328\"] \n  8 -> 9 [size =\"24931328\"]\n  8 -> 11 [size =\"24931328\"]\n  9 [size=\"80472747\", alpha=\"0.12\", expect_size=\"24141824\"] \n  9 -> 13 [size =\"24141824\"]\n  10 [size=\"93044053\", alpha=\"0.17\", expect_size=\"27913216\"] \n  10 -> 14 [size =\"27913216\"]\n  11 [size=\"121924267\", alpha=\"0.10\", expect_size=\"36577280\"] \n  11 -> 12 [size =\"36577280\"]\n  12 [size=\"32088747\", alpha=\"0.05\", expect_size=\"9626624\"] \n  13 [size=\"155791360\", alpha=\"0.01\", expect_size=\"46737408\"] \n  13 -> 15 [size =\"46737408\"]\n  13 -> 16 [size =\"46737408\"]\n  14 [size=\"143530667\", alpha=\"0.07\", expect_size=\"43059200\"] \n  14 -> 15 [size =\"43059200\"]\n  14 -> 16 [size =\"43059200\"]\n  15 [size=\"111295147\", alpha=\"0.16\", expect_size=\"33388544\"] \n  15 -> 17 [size =\"33388544\"]\n  15 -> 18 [size =\"33388544\"]\n  16 [size=\"51483307\", alpha=\"0.10\", expect_size=\"15444992\"] \n  16 -> 17 [size =\"15444992\"]\n  17 [size=\"163365547\", alpha=\"0.02\", expect_size=\"49009664\"] \n  17 -> 20 [size =\"49009664\"]\n  18 [size=\"84049920\", alpha=\"0.11\", expect_size=\"25214976\"] \n  18 -> 19 [size =\"25214976\"]\n  18 -> 20 [size =\"25214976\"]\n  18 -> 21 [size =\"25214976\"]\n  19 [size=\"138823680\", alpha=\"0.14\", expect_size=\"41647104\"] \n  19 -> 22 [size =\"41647104\"]\n  20 [size=\"74769067\", alpha=\"0.06\", expect_size=\"22430720\"] \n  20 -> 22 [size =\"22430720\"]\n  20 -> 23 [size =\"22430720\"]\n  21 [size=\"54760107\", alpha=\"0.13\", expect_size=\"16428032\"] \n  21 -> 23 [size =\"16428032\"]\n  21 -> 24 [size =\"16428032\"]\n  22 [size=\"136676693\", alpha=\"0.09\", expect_size=\"41003008\"] \n  22 -> 25 [size =\"41003008\"]\n  22 -> 26 [size =\"41003008\"]\n  22 -> 27 [size =\"41003008\"]\n  23 [size=\"17558187\", alpha=\"0.07\", expect_size=\"5267456\"] \n  24 [size=\"23244800\", alpha=\"0.03\", expect_size=\"6973440\"] \n  24 -> 26 [size =\"6973440\"]\n  24 -> 27 [size =\"6973440\"]\n  25 [size=\"74963627\", alpha=\"0.10\", expect_size=\"22489088\"] \n  26 [size=\"43506347\", alpha=\"0.05\", expect_size=\"13051904\"] \n  26 -> 29 [size =\"13051904\"]\n  27 [size=\"119364267\", alpha=\"0.04\", expect_size=\"35809280\"] \n  27 -> 28 [size =\"35809280\"]\n  28 [size=\"134690133\", alpha=\"0.11\", expect_size=\"40407040\"] \n  28 -> 30 [size =\"40407040\"]\n  28 -> 31 [size =\"40407040\"]\n  29 [size=\"60439893\", alpha=\"0.06\", expect_size=\"18131968\"] \n  29 -> 32 [size =\"18131968\"]\n  30 [size=\"168567467\", alpha=\"0.10\", expect_size=\"50570240\"] \n  31 [size=\"58040320\", alpha=\"0.08\", expect_size=\"17412096\"] \n  31 -> 33 [size =\"17412096\"]\n  31 -> 35 [size =\"17412096\"]\n  32 [size=\"161423360\", alpha=\"0.08\", expect_size=\"48427008\"] \n  32 -> 34 [size =\"48427008\"]\n  33 [size=\"71946240\", alpha=\"0.06\", expect_size=\"21583872\"] \n  33 -> 37 [size =\"21583872\"]\n  33 -> 38 [size =\"21583872\"]\n  34 [size=\"128720213\", alpha=\"0.19\", expect_size=\"38616064\"] \n  34 -> 38 [size =\"38616064\"]\n  35 [size=\"149910187\", alpha=\"0.04\", expect_size=\"44973056\"] \n  35 -> 36 [size =\"44973056\"]\n  36 [size=\"68450987\", alpha=\"0.14\", expect_size=\"20535296\"] \n  36 -> 41 [size =\"20535296\"]\n  37 [size=\"106325333\", alpha=\"0.02\", expect_size=\"31897600\"] \n  37 -> 39 [size =\"31897600\"]\n  37 -> 40 [size =\"31897600\"]\n  37 -> 41 [size =\"31897600\"]\n  38 [size=\"134181547\", alpha=\"0.19\", expect_size=\"40254464\"] \n  38 -> 39 [size =\"40254464\"]\n  38 -> 40 [size =\"40254464\"]\n  39 [size=\"60364800\", alpha=\"0.11\", expect_size=\"18109440\"] \n  39 -> 42 [size =\"18109440\"]\n  39 -> 43 [size =\"18109440\"]\n  40 [size=\"105161387\", alpha=\"0.11\", expect_size=\"31548416\"] \n  40 -> 42 [size =\"31548416\"]\n  40 -> 43 [size =\"31548416\"]\n  41 [size=\"29569707\", alpha=\"0.15\", expect_size=\"8870912\"] \n  42 [size=\"95317333\", alpha=\"0.14\", expect_size=\"28595200\"] \n  42 -> 44 [size =\"28595200\"]\n  42 -> 45 [size =\"28595200\"]\n  43 [size=\"159737173\", alpha=\"0.14\", expect_size=\"47921152\"] \n  44 [size=\"46568107\", alpha=\"0.14\", expect_size=\"13970432\"] \n  44 -> 46 [size =\"13970432\"]\n  44 -> 47 [size =\"13970432\"]\n  45 [size=\"39154347\", alpha=\"0.01\", expect_size=\"11746304\"] \n  45 -> 46 [size =\"11746304\"]\n  45 -> 47 [size =\"11746304\"]\n  46 [size=\"74031787\", alpha=\"0.12\", expect_size=\"22209536\"] \n  46 -> 48 [size =\"22209536\"]\n  46 -> 49 [size =\"22209536\"]\n  47 [size=\"27921067\", alpha=\"0.15\", expect_size=\"8376320\"] \n  47 -> 49 [size =\"8376320\"]\n  48 [size=\"46711467\", alpha=\"0.14\", expect_size=\"14013440\"] \n  48 -> 50 [size =\"14013440\"]\n  49 [size=\"39693653\", alpha=\"0.18\", expect_size=\"11908096\"] \n  50 [size=\"128215040\", alpha=\"0.01\", expect_size=\"38464512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.666.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98240512\", alpha=\"0.04\", expect_size=\"49120256\"] \n  1 -> 2 [size =\"49120256\"]\n  2 [size=\"36052992\", alpha=\"0.08\", expect_size=\"18026496\"] \n  2 -> 3 [size =\"18026496\"]\n  3 [size=\"59908096\", alpha=\"0.02\", expect_size=\"29954048\"] \n  3 -> 4 [size =\"29954048\"]\n  4 [size=\"23691264\", alpha=\"0.13\", expect_size=\"11845632\"] \n  4 -> 5 [size =\"11845632\"]\n  5 [size=\"43290624\", alpha=\"0.20\", expect_size=\"21645312\"] \n  5 -> 6 [size =\"21645312\"]\n  6 [size=\"12591104\", alpha=\"0.09\", expect_size=\"6295552\"] \n  6 -> 7 [size =\"6295552\"]\n  7 [size=\"11749376\", alpha=\"0.10\", expect_size=\"5874688\"] \n  7 -> 8 [size =\"5874688\"]\n  8 [size=\"101240832\", alpha=\"0.04\", expect_size=\"50620416\"] \n  8 -> 9 [size =\"50620416\"]\n  9 [size=\"17045504\", alpha=\"0.02\", expect_size=\"8522752\"] \n  9 -> 10 [size =\"8522752\"]\n  10 [size=\"90392576\", alpha=\"0.20\", expect_size=\"45196288\"] \n  10 -> 11 [size =\"45196288\"]\n  11 [size=\"85749760\", alpha=\"0.06\", expect_size=\"42874880\"] \n  11 -> 12 [size =\"42874880\"]\n  12 [size=\"11800576\", alpha=\"0.15\", expect_size=\"5900288\"] \n  12 -> 13 [size =\"5900288\"]\n  13 [size=\"50378752\", alpha=\"0.16\", expect_size=\"25189376\"] \n  13 -> 14 [size =\"25189376\"]\n  14 [size=\"60518400\", alpha=\"0.07\", expect_size=\"30259200\"] \n  14 -> 15 [size =\"30259200\"]\n  15 [size=\"27461632\", alpha=\"0.09\", expect_size=\"13730816\"] \n  15 -> 16 [size =\"13730816\"]\n  16 [size=\"25554944\", alpha=\"0.06\", expect_size=\"12777472\"] \n  16 -> 17 [size =\"12777472\"]\n  17 [size=\"69662720\", alpha=\"0.05\", expect_size=\"34831360\"] \n  17 -> 18 [size =\"34831360\"]\n  18 [size=\"22908928\", alpha=\"0.12\", expect_size=\"11454464\"] \n  18 -> 19 [size =\"11454464\"]\n  19 [size=\"40617984\", alpha=\"0.18\", expect_size=\"20308992\"] \n  19 -> 20 [size =\"20308992\"]\n  20 [size=\"49209344\", alpha=\"0.03\", expect_size=\"24604672\"] \n  20 -> 21 [size =\"24604672\"]\n  21 [size=\"47577088\", alpha=\"0.06\", expect_size=\"23788544\"] \n  21 -> 22 [size =\"23788544\"]\n  22 [size=\"74027008\", alpha=\"0.14\", expect_size=\"37013504\"] \n  22 -> 23 [size =\"37013504\"]\n  23 [size=\"50128896\", alpha=\"0.14\", expect_size=\"25064448\"] \n  23 -> 24 [size =\"25064448\"]\n  24 [size=\"31600640\", alpha=\"0.15\", expect_size=\"15800320\"] \n  24 -> 25 [size =\"15800320\"]\n  25 [size=\"64569344\", alpha=\"0.04\", expect_size=\"32284672\"] \n  25 -> 26 [size =\"32284672\"]\n  26 [size=\"11939840\", alpha=\"0.13\", expect_size=\"5969920\"] \n  26 -> 27 [size =\"5969920\"]\n  27 [size=\"39413760\", alpha=\"0.03\", expect_size=\"19706880\"] \n  27 -> 28 [size =\"19706880\"]\n  28 [size=\"63526912\", alpha=\"0.12\", expect_size=\"31763456\"] \n  28 -> 29 [size =\"31763456\"]\n  29 [size=\"25567232\", alpha=\"0.02\", expect_size=\"12783616\"] \n  29 -> 30 [size =\"12783616\"]\n  30 [size=\"16975872\", alpha=\"0.09\", expect_size=\"8487936\"] \n  30 -> 31 [size =\"8487936\"]\n  31 [size=\"29913088\", alpha=\"0.12\", expect_size=\"14956544\"] \n  31 -> 32 [size =\"14956544\"]\n  32 [size=\"57763840\", alpha=\"0.15\", expect_size=\"28881920\"] \n  32 -> 33 [size =\"28881920\"]\n  33 [size=\"31721472\", alpha=\"0.07\", expect_size=\"15860736\"] \n  33 -> 34 [size =\"15860736\"]\n  34 [size=\"95582208\", alpha=\"0.09\", expect_size=\"47791104\"] \n  34 -> 35 [size =\"47791104\"]\n  35 [size=\"73811968\", alpha=\"0.15\", expect_size=\"36905984\"] \n  35 -> 36 [size =\"36905984\"]\n  36 [size=\"93587456\", alpha=\"0.05\", expect_size=\"46793728\"] \n  36 -> 37 [size =\"46793728\"]\n  37 [size=\"62640128\", alpha=\"0.06\", expect_size=\"31320064\"] \n  37 -> 38 [size =\"31320064\"]\n  38 [size=\"76611584\", alpha=\"0.11\", expect_size=\"38305792\"] \n  38 -> 39 [size =\"38305792\"]\n  39 [size=\"37511168\", alpha=\"0.01\", expect_size=\"18755584\"] \n  39 -> 40 [size =\"18755584\"]\n  40 [size=\"46272512\", alpha=\"0.00\", expect_size=\"23136256\"] \n  40 -> 41 [size =\"23136256\"]\n  41 [size=\"88432640\", alpha=\"0.07\", expect_size=\"44216320\"] \n  41 -> 42 [size =\"44216320\"]\n  42 [size=\"50511872\", alpha=\"0.07\", expect_size=\"25255936\"] \n  42 -> 43 [size =\"25255936\"]\n  43 [size=\"28198912\", alpha=\"0.16\", expect_size=\"14099456\"] \n  43 -> 44 [size =\"14099456\"]\n  44 [size=\"61384704\", alpha=\"0.09\", expect_size=\"30692352\"] \n  44 -> 45 [size =\"30692352\"]\n  45 [size=\"11362304\", alpha=\"0.14\", expect_size=\"5681152\"] \n  45 -> 46 [size =\"5681152\"]\n  46 [size=\"83853312\", alpha=\"0.19\", expect_size=\"41926656\"] \n  46 -> 47 [size =\"41926656\"]\n  47 [size=\"10807296\", alpha=\"0.10\", expect_size=\"5403648\"] \n  47 -> 48 [size =\"5403648\"]\n  48 [size=\"40151040\", alpha=\"0.12\", expect_size=\"20075520\"] \n  48 -> 49 [size =\"20075520\"]\n  49 [size=\"89935872\", alpha=\"0.17\", expect_size=\"44967936\"] \n  49 -> 50 [size =\"44967936\"]\n  50 [size=\"95920128\", alpha=\"0.04\", expect_size=\"47960064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.667.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63321600\", alpha=\"0.16\", expect_size=\"25328640\"] \n  1 -> 24 [size =\"25328640\"]\n  1 -> 26 [size =\"25328640\"]\n  1 -> 37 [size =\"25328640\"]\n  1 -> 40 [size =\"25328640\"]\n  1 -> 41 [size =\"25328640\"]\n  1 -> 42 [size =\"25328640\"]\n  2 [size=\"59962880\", alpha=\"0.09\", expect_size=\"23985152\"] \n  2 -> 25 [size =\"23985152\"]\n  2 -> 28 [size =\"23985152\"]\n  2 -> 31 [size =\"23985152\"]\n  2 -> 32 [size =\"23985152\"]\n  2 -> 35 [size =\"23985152\"]\n  2 -> 37 [size =\"23985152\"]\n  2 -> 38 [size =\"23985152\"]\n  2 -> 42 [size =\"23985152\"]\n  3 [size=\"96650240\", alpha=\"0.13\", expect_size=\"38660096\"] \n  3 -> 22 [size =\"38660096\"]\n  3 -> 31 [size =\"38660096\"]\n  3 -> 32 [size =\"38660096\"]\n  3 -> 41 [size =\"38660096\"]\n  4 [size=\"114503680\", alpha=\"0.14\", expect_size=\"45801472\"] \n  4 -> 37 [size =\"45801472\"]\n  5 [size=\"77186560\", alpha=\"0.05\", expect_size=\"30874624\"] \n  5 -> 22 [size =\"30874624\"]\n  5 -> 23 [size =\"30874624\"]\n  5 -> 26 [size =\"30874624\"]\n  5 -> 27 [size =\"30874624\"]\n  5 -> 28 [size =\"30874624\"]\n  5 -> 31 [size =\"30874624\"]\n  5 -> 32 [size =\"30874624\"]\n  5 -> 37 [size =\"30874624\"]\n  5 -> 41 [size =\"30874624\"]\n  5 -> 47 [size =\"30874624\"]\n  6 [size=\"42229760\", alpha=\"0.12\", expect_size=\"16891904\"] \n  6 -> 22 [size =\"16891904\"]\n  6 -> 25 [size =\"16891904\"]\n  6 -> 27 [size =\"16891904\"]\n  6 -> 28 [size =\"16891904\"]\n  6 -> 37 [size =\"16891904\"]\n  7 [size=\"92172800\", alpha=\"0.15\", expect_size=\"36869120\"] \n  7 -> 23 [size =\"36869120\"]\n  7 -> 29 [size =\"36869120\"]\n  7 -> 30 [size =\"36869120\"]\n  7 -> 31 [size =\"36869120\"]\n  7 -> 38 [size =\"36869120\"]\n  8 [size=\"115870720\", alpha=\"0.04\", expect_size=\"46348288\"] \n  8 -> 28 [size =\"46348288\"]\n  8 -> 30 [size =\"46348288\"]\n  8 -> 36 [size =\"46348288\"]\n  8 -> 40 [size =\"46348288\"]\n  8 -> 46 [size =\"46348288\"]\n  9 [size=\"104253440\", alpha=\"0.18\", expect_size=\"41701376\"] \n  9 -> 22 [size =\"41701376\"]\n  9 -> 27 [size =\"41701376\"]\n  9 -> 28 [size =\"41701376\"]\n  9 -> 29 [size =\"41701376\"]\n  9 -> 34 [size =\"41701376\"]\n  9 -> 45 [size =\"41701376\"]\n  9 -> 47 [size =\"41701376\"]\n  10 [size=\"57328640\", alpha=\"0.04\", expect_size=\"22931456\"] \n  10 -> 27 [size =\"22931456\"]\n  10 -> 27 [size =\"22931456\"]\n  10 -> 32 [size =\"22931456\"]\n  10 -> 37 [size =\"22931456\"]\n  10 -> 41 [size =\"22931456\"]\n  10 -> 46 [size =\"22931456\"]\n  11 [size=\"21009920\", alpha=\"0.05\", expect_size=\"8403968\"] \n  11 -> 23 [size =\"8403968\"]\n  11 -> 25 [size =\"8403968\"]\n  11 -> 28 [size =\"8403968\"]\n  11 -> 34 [size =\"8403968\"]\n  11 -> 38 [size =\"8403968\"]\n  11 -> 39 [size =\"8403968\"]\n  11 -> 42 [size =\"8403968\"]\n  11 -> 44 [size =\"8403968\"]\n  12 [size=\"117248000\", alpha=\"0.19\", expect_size=\"46899200\"] \n  12 -> 23 [size =\"46899200\"]\n  12 -> 28 [size =\"46899200\"]\n  12 -> 29 [size =\"46899200\"]\n  12 -> 34 [size =\"46899200\"]\n  12 -> 37 [size =\"46899200\"]\n  13 [size=\"53683200\", alpha=\"0.05\", expect_size=\"21473280\"] \n  13 -> 22 [size =\"21473280\"]\n  13 -> 26 [size =\"21473280\"]\n  13 -> 29 [size =\"21473280\"]\n  13 -> 34 [size =\"21473280\"]\n  13 -> 35 [size =\"21473280\"]\n  13 -> 37 [size =\"21473280\"]\n  13 -> 38 [size =\"21473280\"]\n  13 -> 41 [size =\"21473280\"]\n  13 -> 45 [size =\"21473280\"]\n  13 -> 46 [size =\"21473280\"]\n  14 [size=\"127534080\", alpha=\"0.10\", expect_size=\"51013632\"] \n  14 -> 29 [size =\"51013632\"]\n  14 -> 31 [size =\"51013632\"]\n  14 -> 35 [size =\"51013632\"]\n  14 -> 40 [size =\"51013632\"]\n  14 -> 41 [size =\"51013632\"]\n  14 -> 47 [size =\"51013632\"]\n  15 [size=\"90813440\", alpha=\"0.10\", expect_size=\"36325376\"] \n  15 -> 22 [size =\"36325376\"]\n  15 -> 23 [size =\"36325376\"]\n  15 -> 26 [size =\"36325376\"]\n  15 -> 29 [size =\"36325376\"]\n  15 -> 31 [size =\"36325376\"]\n  15 -> 38 [size =\"36325376\"]\n  15 -> 45 [size =\"36325376\"]\n  16 [size=\"123123200\", alpha=\"0.10\", expect_size=\"49249280\"] \n  16 -> 23 [size =\"49249280\"]\n  16 -> 36 [size =\"49249280\"]\n  16 -> 38 [size =\"49249280\"]\n  16 -> 41 [size =\"49249280\"]\n  17 [size=\"77690880\", alpha=\"0.09\", expect_size=\"31076352\"] \n  17 -> 27 [size =\"31076352\"]\n  17 -> 31 [size =\"31076352\"]\n  17 -> 33 [size =\"31076352\"]\n  17 -> 39 [size =\"31076352\"]\n  18 [size=\"50938880\", alpha=\"0.13\", expect_size=\"20375552\"] \n  18 -> 23 [size =\"20375552\"]\n  18 -> 27 [size =\"20375552\"]\n  18 -> 29 [size =\"20375552\"]\n  18 -> 32 [size =\"20375552\"]\n  18 -> 39 [size =\"20375552\"]\n  18 -> 41 [size =\"20375552\"]\n  18 -> 43 [size =\"20375552\"]\n  18 -> 45 [size =\"20375552\"]\n  19 [size=\"75665920\", alpha=\"0.10\", expect_size=\"30266368\"] \n  19 -> 22 [size =\"30266368\"]\n  19 -> 25 [size =\"30266368\"]\n  19 -> 27 [size =\"30266368\"]\n  19 -> 29 [size =\"30266368\"]\n  19 -> 32 [size =\"30266368\"]\n  19 -> 37 [size =\"30266368\"]\n  19 -> 39 [size =\"30266368\"]\n  19 -> 40 [size =\"30266368\"]\n  19 -> 41 [size =\"30266368\"]\n  20 [size=\"66129920\", alpha=\"0.11\", expect_size=\"26451968\"] \n  20 -> 27 [size =\"26451968\"]\n  20 -> 37 [size =\"26451968\"]\n  20 -> 45 [size =\"26451968\"]\n  20 -> 47 [size =\"26451968\"]\n  21 [size=\"91576320\", alpha=\"0.01\", expect_size=\"36630528\"] \n  21 -> 24 [size =\"36630528\"]\n  21 -> 27 [size =\"36630528\"]\n  21 -> 31 [size =\"36630528\"]\n  21 -> 37 [size =\"36630528\"]\n  21 -> 40 [size =\"36630528\"]\n  21 -> 41 [size =\"36630528\"]\n  22 [size=\"118144000\", alpha=\"0.19\", expect_size=\"47257600\"] \n  22 -> 49 [size =\"47257600\"]\n  22 -> 50 [size =\"47257600\"]\n  23 [size=\"114460160\", alpha=\"0.10\", expect_size=\"45784064\"] \n  24 [size=\"26941440\", alpha=\"0.19\", expect_size=\"10776576\"] \n  25 [size=\"86282240\", alpha=\"0.19\", expect_size=\"34512896\"] \n  26 [size=\"26626560\", alpha=\"0.04\", expect_size=\"10650624\"] \n  27 [size=\"84536320\", alpha=\"0.02\", expect_size=\"33814528\"] \n  28 [size=\"18268160\", alpha=\"0.18\", expect_size=\"7307264\"] \n  28 -> 48 [size =\"7307264\"]\n  28 -> 50 [size =\"7307264\"]\n  29 [size=\"92144640\", alpha=\"0.09\", expect_size=\"36857856\"] \n  29 -> 49 [size =\"36857856\"]\n  30 [size=\"35118080\", alpha=\"0.07\", expect_size=\"14047232\"] \n  30 -> 49 [size =\"14047232\"]\n  31 [size=\"102630400\", alpha=\"0.07\", expect_size=\"41052160\"] \n  31 -> 48 [size =\"41052160\"]\n  31 -> 50 [size =\"41052160\"]\n  32 [size=\"108966400\", alpha=\"0.04\", expect_size=\"43586560\"] \n  32 -> 48 [size =\"43586560\"]\n  33 [size=\"100984320\", alpha=\"0.09\", expect_size=\"40393728\"] \n  33 -> 48 [size =\"40393728\"]\n  33 -> 49 [size =\"40393728\"]\n  34 [size=\"44259840\", alpha=\"0.13\", expect_size=\"17703936\"] \n  34 -> 48 [size =\"17703936\"]\n  34 -> 49 [size =\"17703936\"]\n  35 [size=\"40197120\", alpha=\"0.10\", expect_size=\"16078848\"] \n  35 -> 49 [size =\"16078848\"]\n  35 -> 50 [size =\"16078848\"]\n  36 [size=\"34908160\", alpha=\"0.05\", expect_size=\"13963264\"] \n  36 -> 50 [size =\"13963264\"]\n  37 [size=\"57515520\", alpha=\"0.12\", expect_size=\"23006208\"] \n  37 -> 48 [size =\"23006208\"]\n  37 -> 49 [size =\"23006208\"]\n  37 -> 50 [size =\"23006208\"]\n  38 [size=\"69125120\", alpha=\"0.05\", expect_size=\"27650048\"] \n  38 -> 49 [size =\"27650048\"]\n  38 -> 50 [size =\"27650048\"]\n  39 [size=\"54533120\", alpha=\"0.08\", expect_size=\"21813248\"] \n  40 [size=\"104890880\", alpha=\"0.01\", expect_size=\"41956352\"] \n  40 -> 50 [size =\"41956352\"]\n  41 [size=\"28490240\", alpha=\"0.07\", expect_size=\"11396096\"] \n  41 -> 50 [size =\"11396096\"]\n  42 [size=\"69163520\", alpha=\"0.10\", expect_size=\"27665408\"] \n  42 -> 49 [size =\"27665408\"]\n  43 [size=\"95127040\", alpha=\"0.11\", expect_size=\"38050816\"] \n  44 [size=\"28992000\", alpha=\"0.14\", expect_size=\"11596800\"] \n  44 -> 48 [size =\"11596800\"]\n  45 [size=\"103150080\", alpha=\"0.10\", expect_size=\"41260032\"] \n  46 [size=\"41415680\", alpha=\"0.08\", expect_size=\"16566272\"] \n  46 -> 49 [size =\"16566272\"]\n  46 -> 50 [size =\"16566272\"]\n  47 [size=\"71767040\", alpha=\"0.18\", expect_size=\"28706816\"] \n  47 -> 48 [size =\"28706816\"]\n  47 -> 49 [size =\"28706816\"]\n  48 [size=\"22860800\", alpha=\"0.09\", expect_size=\"9144320\"] \n  49 [size=\"50496000\", alpha=\"0.13\", expect_size=\"20198400\"] \n  50 [size=\"99264000\", alpha=\"0.01\", expect_size=\"39705600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.668.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17068032\", alpha=\"0.06\", expect_size=\"8534016\"] \n  1 -> 11 [size =\"8534016\"]\n  2 [size=\"99842048\", alpha=\"0.07\", expect_size=\"49921024\"] \n  2 -> 8 [size =\"49921024\"]\n  2 -> 9 [size =\"49921024\"]\n  2 -> 10 [size =\"49921024\"]\n  2 -> 13 [size =\"49921024\"]\n  3 [size=\"26363904\", alpha=\"0.17\", expect_size=\"13181952\"] \n  3 -> 10 [size =\"13181952\"]\n  3 -> 11 [size =\"13181952\"]\n  3 -> 12 [size =\"13181952\"]\n  3 -> 13 [size =\"13181952\"]\n  4 [size=\"38596608\", alpha=\"0.16\", expect_size=\"19298304\"] \n  4 -> 9 [size =\"19298304\"]\n  4 -> 10 [size =\"19298304\"]\n  4 -> 11 [size =\"19298304\"]\n  4 -> 13 [size =\"19298304\"]\n  5 [size=\"81637376\", alpha=\"0.07\", expect_size=\"40818688\"] \n  5 -> 9 [size =\"40818688\"]\n  5 -> 10 [size =\"40818688\"]\n  5 -> 12 [size =\"40818688\"]\n  5 -> 13 [size =\"40818688\"]\n  5 -> 14 [size =\"40818688\"]\n  6 [size=\"11288576\", alpha=\"0.03\", expect_size=\"5644288\"] \n  6 -> 9 [size =\"5644288\"]\n  6 -> 10 [size =\"5644288\"]\n  7 [size=\"69056512\", alpha=\"0.11\", expect_size=\"34528256\"] \n  7 -> 9 [size =\"34528256\"]\n  7 -> 14 [size =\"34528256\"]\n  8 [size=\"61108224\", alpha=\"0.09\", expect_size=\"30554112\"] \n  8 -> 15 [size =\"30554112\"]\n  8 -> 20 [size =\"30554112\"]\n  8 -> 21 [size =\"30554112\"]\n  9 [size=\"25284608\", alpha=\"0.00\", expect_size=\"12642304\"] \n  9 -> 15 [size =\"12642304\"]\n  9 -> 16 [size =\"12642304\"]\n  9 -> 17 [size =\"12642304\"]\n  9 -> 18 [size =\"12642304\"]\n  9 -> 19 [size =\"12642304\"]\n  10 [size=\"13477888\", alpha=\"0.13\", expect_size=\"6738944\"] \n  10 -> 16 [size =\"6738944\"]\n  10 -> 18 [size =\"6738944\"]\n  10 -> 19 [size =\"6738944\"]\n  10 -> 21 [size =\"6738944\"]\n  11 [size=\"91844608\", alpha=\"0.10\", expect_size=\"45922304\"] \n  11 -> 15 [size =\"45922304\"]\n  11 -> 16 [size =\"45922304\"]\n  11 -> 17 [size =\"45922304\"]\n  11 -> 18 [size =\"45922304\"]\n  11 -> 19 [size =\"45922304\"]\n  12 [size=\"26210304\", alpha=\"0.03\", expect_size=\"13105152\"] \n  12 -> 18 [size =\"13105152\"]\n  12 -> 19 [size =\"13105152\"]\n  12 -> 20 [size =\"13105152\"]\n  13 [size=\"58683392\", alpha=\"0.02\", expect_size=\"29341696\"] \n  13 -> 15 [size =\"29341696\"]\n  13 -> 17 [size =\"29341696\"]\n  13 -> 18 [size =\"29341696\"]\n  13 -> 20 [size =\"29341696\"]\n  14 [size=\"44468224\", alpha=\"0.15\", expect_size=\"22234112\"] \n  14 -> 20 [size =\"22234112\"]\n  15 [size=\"26955776\", alpha=\"0.11\", expect_size=\"13477888\"] \n  15 -> 24 [size =\"13477888\"]\n  15 -> 25 [size =\"13477888\"]\n  15 -> 25 [size =\"13477888\"]\n  15 -> 27 [size =\"13477888\"]\n  15 -> 28 [size =\"13477888\"]\n  16 [size=\"59625472\", alpha=\"0.17\", expect_size=\"29812736\"] \n  16 -> 25 [size =\"29812736\"]\n  16 -> 27 [size =\"29812736\"]\n  17 [size=\"72726528\", alpha=\"0.00\", expect_size=\"36363264\"] \n  17 -> 23 [size =\"36363264\"]\n  17 -> 28 [size =\"36363264\"]\n  18 [size=\"31807488\", alpha=\"0.12\", expect_size=\"15903744\"] \n  18 -> 22 [size =\"15903744\"]\n  18 -> 23 [size =\"15903744\"]\n  18 -> 26 [size =\"15903744\"]\n  18 -> 28 [size =\"15903744\"]\n  19 [size=\"74006528\", alpha=\"0.00\", expect_size=\"37003264\"] \n  19 -> 23 [size =\"37003264\"]\n  19 -> 23 [size =\"37003264\"]\n  19 -> 26 [size =\"37003264\"]\n  19 -> 28 [size =\"37003264\"]\n  20 [size=\"75085824\", alpha=\"0.13\", expect_size=\"37542912\"] \n  20 -> 22 [size =\"37542912\"]\n  20 -> 25 [size =\"37542912\"]\n  20 -> 26 [size =\"37542912\"]\n  20 -> 27 [size =\"37542912\"]\n  21 [size=\"40058880\", alpha=\"0.08\", expect_size=\"20029440\"] \n  21 -> 22 [size =\"20029440\"]\n  21 -> 23 [size =\"20029440\"]\n  21 -> 25 [size =\"20029440\"]\n  21 -> 27 [size =\"20029440\"]\n  22 [size=\"87648256\", alpha=\"0.01\", expect_size=\"43824128\"] \n  22 -> 29 [size =\"43824128\"]\n  22 -> 33 [size =\"43824128\"]\n  22 -> 34 [size =\"43824128\"]\n  23 [size=\"103124992\", alpha=\"0.18\", expect_size=\"51562496\"] \n  23 -> 29 [size =\"51562496\"]\n  23 -> 30 [size =\"51562496\"]\n  24 [size=\"20418560\", alpha=\"0.00\", expect_size=\"10209280\"] \n  24 -> 32 [size =\"10209280\"]\n  24 -> 35 [size =\"10209280\"]\n  25 [size=\"91541504\", alpha=\"0.18\", expect_size=\"45770752\"] \n  25 -> 30 [size =\"45770752\"]\n  25 -> 34 [size =\"45770752\"]\n  25 -> 35 [size =\"45770752\"]\n  26 [size=\"47048704\", alpha=\"0.16\", expect_size=\"23524352\"] \n  26 -> 29 [size =\"23524352\"]\n  26 -> 30 [size =\"23524352\"]\n  26 -> 31 [size =\"23524352\"]\n  26 -> 35 [size =\"23524352\"]\n  27 [size=\"33302528\", alpha=\"0.06\", expect_size=\"16651264\"] \n  27 -> 29 [size =\"16651264\"]\n  27 -> 30 [size =\"16651264\"]\n  27 -> 34 [size =\"16651264\"]\n  28 [size=\"34488320\", alpha=\"0.08\", expect_size=\"17244160\"] \n  28 -> 29 [size =\"17244160\"]\n  28 -> 34 [size =\"17244160\"]\n  29 [size=\"92325888\", alpha=\"0.12\", expect_size=\"46162944\"] \n  29 -> 37 [size =\"46162944\"]\n  29 -> 38 [size =\"46162944\"]\n  29 -> 39 [size =\"46162944\"]\n  29 -> 40 [size =\"46162944\"]\n  30 [size=\"93184000\", alpha=\"0.17\", expect_size=\"46592000\"] \n  30 -> 37 [size =\"46592000\"]\n  30 -> 38 [size =\"46592000\"]\n  31 [size=\"61175808\", alpha=\"0.19\", expect_size=\"30587904\"] \n  31 -> 36 [size =\"30587904\"]\n  31 -> 39 [size =\"30587904\"]\n  31 -> 40 [size =\"30587904\"]\n  31 -> 41 [size =\"30587904\"]\n  32 [size=\"97259520\", alpha=\"0.04\", expect_size=\"48629760\"] \n  32 -> 38 [size =\"48629760\"]\n  32 -> 39 [size =\"48629760\"]\n  32 -> 40 [size =\"48629760\"]\n  33 [size=\"102045696\", alpha=\"0.20\", expect_size=\"51022848\"] \n  33 -> 37 [size =\"51022848\"]\n  33 -> 38 [size =\"51022848\"]\n  33 -> 39 [size =\"51022848\"]\n  34 [size=\"91414528\", alpha=\"0.03\", expect_size=\"45707264\"] \n  34 -> 37 [size =\"45707264\"]\n  34 -> 38 [size =\"45707264\"]\n  35 [size=\"93476864\", alpha=\"0.09\", expect_size=\"46738432\"] \n  35 -> 37 [size =\"46738432\"]\n  35 -> 39 [size =\"46738432\"]\n  35 -> 40 [size =\"46738432\"]\n  36 [size=\"85012480\", alpha=\"0.06\", expect_size=\"42506240\"] \n  36 -> 44 [size =\"42506240\"]\n  36 -> 48 [size =\"42506240\"]\n  37 [size=\"66826240\", alpha=\"0.16\", expect_size=\"33413120\"] \n  37 -> 43 [size =\"33413120\"]\n  37 -> 44 [size =\"33413120\"]\n  37 -> 47 [size =\"33413120\"]\n  37 -> 48 [size =\"33413120\"]\n  38 [size=\"97486848\", alpha=\"0.10\", expect_size=\"48743424\"] \n  38 -> 47 [size =\"48743424\"]\n  39 [size=\"38879232\", alpha=\"0.18\", expect_size=\"19439616\"] \n  39 -> 44 [size =\"19439616\"]\n  39 -> 45 [size =\"19439616\"]\n  39 -> 47 [size =\"19439616\"]\n  39 -> 48 [size =\"19439616\"]\n  40 [size=\"94543872\", alpha=\"0.20\", expect_size=\"47271936\"] \n  40 -> 42 [size =\"47271936\"]\n  40 -> 44 [size =\"47271936\"]\n  40 -> 46 [size =\"47271936\"]\n  41 [size=\"78733312\", alpha=\"0.08\", expect_size=\"39366656\"] \n  42 [size=\"72804352\", alpha=\"0.12\", expect_size=\"36402176\"] \n  43 [size=\"92483584\", alpha=\"0.16\", expect_size=\"46241792\"] \n  44 [size=\"91596800\", alpha=\"0.02\", expect_size=\"45798400\"] \n  44 -> 49 [size =\"45798400\"]\n  45 [size=\"104130560\", alpha=\"0.05\", expect_size=\"52065280\"] \n  45 -> 49 [size =\"52065280\"]\n  46 [size=\"52183040\", alpha=\"0.16\", expect_size=\"26091520\"] \n  46 -> 49 [size =\"26091520\"]\n  47 [size=\"79263744\", alpha=\"0.11\", expect_size=\"39631872\"] \n  47 -> 49 [size =\"39631872\"]\n  47 -> 50 [size =\"39631872\"]\n  48 [size=\"58875904\", alpha=\"0.12\", expect_size=\"29437952\"] \n  49 [size=\"12337152\", alpha=\"0.10\", expect_size=\"6168576\"] \n  50 [size=\"97544192\", alpha=\"0.06\", expect_size=\"48772096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.669.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60011520\", alpha=\"0.15\", expect_size=\"24004608\"] \n  1 -> 27 [size =\"24004608\"]\n  1 -> 29 [size =\"24004608\"]\n  1 -> 30 [size =\"24004608\"]\n  1 -> 31 [size =\"24004608\"]\n  1 -> 32 [size =\"24004608\"]\n  1 -> 33 [size =\"24004608\"]\n  1 -> 34 [size =\"24004608\"]\n  1 -> 38 [size =\"24004608\"]\n  1 -> 41 [size =\"24004608\"]\n  1 -> 49 [size =\"24004608\"]\n  2 [size=\"94837760\", alpha=\"0.08\", expect_size=\"37935104\"] \n  2 -> 25 [size =\"37935104\"]\n  2 -> 27 [size =\"37935104\"]\n  2 -> 29 [size =\"37935104\"]\n  2 -> 30 [size =\"37935104\"]\n  2 -> 36 [size =\"37935104\"]\n  2 -> 37 [size =\"37935104\"]\n  2 -> 39 [size =\"37935104\"]\n  2 -> 40 [size =\"37935104\"]\n  2 -> 41 [size =\"37935104\"]\n  2 -> 43 [size =\"37935104\"]\n  3 [size=\"33799680\", alpha=\"0.16\", expect_size=\"13519872\"] \n  3 -> 25 [size =\"13519872\"]\n  3 -> 29 [size =\"13519872\"]\n  3 -> 30 [size =\"13519872\"]\n  3 -> 34 [size =\"13519872\"]\n  3 -> 35 [size =\"13519872\"]\n  3 -> 37 [size =\"13519872\"]\n  3 -> 40 [size =\"13519872\"]\n  3 -> 41 [size =\"13519872\"]\n  3 -> 42 [size =\"13519872\"]\n  3 -> 48 [size =\"13519872\"]\n  3 -> 50 [size =\"13519872\"]\n  4 [size=\"103249920\", alpha=\"0.09\", expect_size=\"41299968\"] \n  4 -> 25 [size =\"41299968\"]\n  4 -> 27 [size =\"41299968\"]\n  4 -> 29 [size =\"41299968\"]\n  4 -> 30 [size =\"41299968\"]\n  4 -> 31 [size =\"41299968\"]\n  4 -> 32 [size =\"41299968\"]\n  4 -> 37 [size =\"41299968\"]\n  4 -> 41 [size =\"41299968\"]\n  5 [size=\"30033920\", alpha=\"0.14\", expect_size=\"12013568\"] \n  5 -> 25 [size =\"12013568\"]\n  5 -> 27 [size =\"12013568\"]\n  5 -> 28 [size =\"12013568\"]\n  5 -> 29 [size =\"12013568\"]\n  5 -> 30 [size =\"12013568\"]\n  5 -> 32 [size =\"12013568\"]\n  5 -> 33 [size =\"12013568\"]\n  5 -> 35 [size =\"12013568\"]\n  5 -> 37 [size =\"12013568\"]\n  5 -> 39 [size =\"12013568\"]\n  5 -> 41 [size =\"12013568\"]\n  5 -> 42 [size =\"12013568\"]\n  5 -> 44 [size =\"12013568\"]\n  5 -> 50 [size =\"12013568\"]\n  6 [size=\"50457600\", alpha=\"0.12\", expect_size=\"20183040\"] \n  6 -> 25 [size =\"20183040\"]\n  6 -> 30 [size =\"20183040\"]\n  6 -> 31 [size =\"20183040\"]\n  6 -> 34 [size =\"20183040\"]\n  6 -> 39 [size =\"20183040\"]\n  6 -> 40 [size =\"20183040\"]\n  6 -> 43 [size =\"20183040\"]\n  6 -> 44 [size =\"20183040\"]\n  7 [size=\"58718720\", alpha=\"0.05\", expect_size=\"23487488\"] \n  7 -> 25 [size =\"23487488\"]\n  7 -> 29 [size =\"23487488\"]\n  7 -> 34 [size =\"23487488\"]\n  7 -> 36 [size =\"23487488\"]\n  7 -> 37 [size =\"23487488\"]\n  7 -> 39 [size =\"23487488\"]\n  7 -> 40 [size =\"23487488\"]\n  7 -> 42 [size =\"23487488\"]\n  7 -> 43 [size =\"23487488\"]\n  7 -> 49 [size =\"23487488\"]\n  8 [size=\"40944640\", alpha=\"0.12\", expect_size=\"16377856\"] \n  8 -> 25 [size =\"16377856\"]\n  8 -> 27 [size =\"16377856\"]\n  8 -> 31 [size =\"16377856\"]\n  8 -> 32 [size =\"16377856\"]\n  8 -> 33 [size =\"16377856\"]\n  8 -> 34 [size =\"16377856\"]\n  8 -> 35 [size =\"16377856\"]\n  8 -> 39 [size =\"16377856\"]\n  8 -> 40 [size =\"16377856\"]\n  8 -> 41 [size =\"16377856\"]\n  8 -> 42 [size =\"16377856\"]\n  8 -> 43 [size =\"16377856\"]\n  8 -> 46 [size =\"16377856\"]\n  9 [size=\"15705600\", alpha=\"0.15\", expect_size=\"6282240\"] \n  9 -> 25 [size =\"6282240\"]\n  9 -> 29 [size =\"6282240\"]\n  9 -> 32 [size =\"6282240\"]\n  9 -> 34 [size =\"6282240\"]\n  9 -> 39 [size =\"6282240\"]\n  9 -> 40 [size =\"6282240\"]\n  9 -> 41 [size =\"6282240\"]\n  9 -> 43 [size =\"6282240\"]\n  9 -> 47 [size =\"6282240\"]\n  10 [size=\"29839360\", alpha=\"0.16\", expect_size=\"11935744\"] \n  10 -> 25 [size =\"11935744\"]\n  10 -> 30 [size =\"11935744\"]\n  10 -> 32 [size =\"11935744\"]\n  10 -> 34 [size =\"11935744\"]\n  10 -> 36 [size =\"11935744\"]\n  10 -> 38 [size =\"11935744\"]\n  10 -> 40 [size =\"11935744\"]\n  10 -> 41 [size =\"11935744\"]\n  10 -> 42 [size =\"11935744\"]\n  10 -> 43 [size =\"11935744\"]\n  10 -> 44 [size =\"11935744\"]\n  10 -> 45 [size =\"11935744\"]\n  10 -> 46 [size =\"11935744\"]\n  10 -> 47 [size =\"11935744\"]\n  10 -> 48 [size =\"11935744\"]\n  11 [size=\"81927680\", alpha=\"0.00\", expect_size=\"32771072\"] \n  11 -> 25 [size =\"32771072\"]\n  11 -> 27 [size =\"32771072\"]\n  11 -> 28 [size =\"32771072\"]\n  11 -> 30 [size =\"32771072\"]\n  11 -> 31 [size =\"32771072\"]\n  11 -> 32 [size =\"32771072\"]\n  11 -> 34 [size =\"32771072\"]\n  11 -> 39 [size =\"32771072\"]\n  11 -> 42 [size =\"32771072\"]\n  11 -> 49 [size =\"32771072\"]\n  11 -> 50 [size =\"32771072\"]\n  12 [size=\"50890240\", alpha=\"0.17\", expect_size=\"20356096\"] \n  12 -> 25 [size =\"20356096\"]\n  12 -> 27 [size =\"20356096\"]\n  12 -> 28 [size =\"20356096\"]\n  12 -> 29 [size =\"20356096\"]\n  12 -> 30 [size =\"20356096\"]\n  12 -> 33 [size =\"20356096\"]\n  12 -> 34 [size =\"20356096\"]\n  12 -> 35 [size =\"20356096\"]\n  12 -> 38 [size =\"20356096\"]\n  12 -> 39 [size =\"20356096\"]\n  12 -> 40 [size =\"20356096\"]\n  12 -> 41 [size =\"20356096\"]\n  12 -> 42 [size =\"20356096\"]\n  12 -> 44 [size =\"20356096\"]\n  12 -> 46 [size =\"20356096\"]\n  12 -> 48 [size =\"20356096\"]\n  12 -> 49 [size =\"20356096\"]\n  13 [size=\"99624960\", alpha=\"0.18\", expect_size=\"39849984\"] \n  13 -> 27 [size =\"39849984\"]\n  13 -> 34 [size =\"39849984\"]\n  13 -> 36 [size =\"39849984\"]\n  13 -> 37 [size =\"39849984\"]\n  13 -> 38 [size =\"39849984\"]\n  13 -> 40 [size =\"39849984\"]\n  13 -> 41 [size =\"39849984\"]\n  13 -> 42 [size =\"39849984\"]\n  13 -> 43 [size =\"39849984\"]\n  14 [size=\"77767680\", alpha=\"0.07\", expect_size=\"31107072\"] \n  14 -> 25 [size =\"31107072\"]\n  14 -> 26 [size =\"31107072\"]\n  14 -> 27 [size =\"31107072\"]\n  14 -> 32 [size =\"31107072\"]\n  14 -> 34 [size =\"31107072\"]\n  14 -> 35 [size =\"31107072\"]\n  14 -> 36 [size =\"31107072\"]\n  14 -> 38 [size =\"31107072\"]\n  14 -> 39 [size =\"31107072\"]\n  14 -> 40 [size =\"31107072\"]\n  14 -> 41 [size =\"31107072\"]\n  14 -> 48 [size =\"31107072\"]\n  14 -> 49 [size =\"31107072\"]\n  14 -> 50 [size =\"31107072\"]\n  15 [size=\"129338880\", alpha=\"0.14\", expect_size=\"51735552\"] \n  15 -> 25 [size =\"51735552\"]\n  15 -> 27 [size =\"51735552\"]\n  15 -> 34 [size =\"51735552\"]\n  15 -> 37 [size =\"51735552\"]\n  15 -> 38 [size =\"51735552\"]\n  15 -> 40 [size =\"51735552\"]\n  15 -> 41 [size =\"51735552\"]\n  15 -> 43 [size =\"51735552\"]\n  15 -> 44 [size =\"51735552\"]\n  15 -> 47 [size =\"51735552\"]\n  15 -> 48 [size =\"51735552\"]\n  16 [size=\"93962240\", alpha=\"0.04\", expect_size=\"37584896\"] \n  16 -> 25 [size =\"37584896\"]\n  16 -> 27 [size =\"37584896\"]\n  16 -> 28 [size =\"37584896\"]\n  16 -> 31 [size =\"37584896\"]\n  16 -> 34 [size =\"37584896\"]\n  16 -> 35 [size =\"37584896\"]\n  16 -> 38 [size =\"37584896\"]\n  16 -> 39 [size =\"37584896\"]\n  16 -> 40 [size =\"37584896\"]\n  16 -> 41 [size =\"37584896\"]\n  16 -> 42 [size =\"37584896\"]\n  16 -> 43 [size =\"37584896\"]\n  16 -> 44 [size =\"37584896\"]\n  16 -> 50 [size =\"37584896\"]\n  17 [size=\"49528320\", alpha=\"0.02\", expect_size=\"19811328\"] \n  17 -> 25 [size =\"19811328\"]\n  17 -> 28 [size =\"19811328\"]\n  17 -> 30 [size =\"19811328\"]\n  17 -> 31 [size =\"19811328\"]\n  17 -> 34 [size =\"19811328\"]\n  17 -> 35 [size =\"19811328\"]\n  17 -> 37 [size =\"19811328\"]\n  17 -> 38 [size =\"19811328\"]\n  17 -> 40 [size =\"19811328\"]\n  17 -> 41 [size =\"19811328\"]\n  17 -> 42 [size =\"19811328\"]\n  17 -> 43 [size =\"19811328\"]\n  18 [size=\"77171200\", alpha=\"0.07\", expect_size=\"30868480\"] \n  18 -> 25 [size =\"30868480\"]\n  18 -> 30 [size =\"30868480\"]\n  18 -> 31 [size =\"30868480\"]\n  18 -> 34 [size =\"30868480\"]\n  18 -> 34 [size =\"30868480\"]\n  18 -> 35 [size =\"30868480\"]\n  18 -> 37 [size =\"30868480\"]\n  18 -> 38 [size =\"30868480\"]\n  18 -> 40 [size =\"30868480\"]\n  18 -> 41 [size =\"30868480\"]\n  18 -> 42 [size =\"30868480\"]\n  18 -> 44 [size =\"30868480\"]\n  19 [size=\"27253760\", alpha=\"0.08\", expect_size=\"10901504\"] \n  19 -> 25 [size =\"10901504\"]\n  19 -> 27 [size =\"10901504\"]\n  19 -> 30 [size =\"10901504\"]\n  19 -> 34 [size =\"10901504\"]\n  19 -> 37 [size =\"10901504\"]\n  19 -> 38 [size =\"10901504\"]\n  19 -> 40 [size =\"10901504\"]\n  19 -> 41 [size =\"10901504\"]\n  19 -> 43 [size =\"10901504\"]\n  19 -> 46 [size =\"10901504\"]\n  19 -> 48 [size =\"10901504\"]\n  19 -> 49 [size =\"10901504\"]\n  20 [size=\"113039360\", alpha=\"0.14\", expect_size=\"45215744\"] \n  20 -> 25 [size =\"45215744\"]\n  20 -> 26 [size =\"45215744\"]\n  20 -> 30 [size =\"45215744\"]\n  20 -> 32 [size =\"45215744\"]\n  20 -> 34 [size =\"45215744\"]\n  20 -> 37 [size =\"45215744\"]\n  20 -> 39 [size =\"45215744\"]\n  20 -> 40 [size =\"45215744\"]\n  20 -> 41 [size =\"45215744\"]\n  20 -> 43 [size =\"45215744\"]\n  20 -> 46 [size =\"45215744\"]\n  20 -> 50 [size =\"45215744\"]\n  21 [size=\"91860480\", alpha=\"0.08\", expect_size=\"36744192\"] \n  21 -> 25 [size =\"36744192\"]\n  21 -> 30 [size =\"36744192\"]\n  21 -> 30 [size =\"36744192\"]\n  21 -> 37 [size =\"36744192\"]\n  21 -> 39 [size =\"36744192\"]\n  21 -> 40 [size =\"36744192\"]\n  21 -> 41 [size =\"36744192\"]\n  21 -> 43 [size =\"36744192\"]\n  21 -> 44 [size =\"36744192\"]\n  21 -> 48 [size =\"36744192\"]\n  21 -> 49 [size =\"36744192\"]\n  22 [size=\"94223360\", alpha=\"0.17\", expect_size=\"37689344\"] \n  22 -> 25 [size =\"37689344\"]\n  22 -> 28 [size =\"37689344\"]\n  22 -> 30 [size =\"37689344\"]\n  22 -> 32 [size =\"37689344\"]\n  22 -> 37 [size =\"37689344\"]\n  22 -> 38 [size =\"37689344\"]\n  22 -> 40 [size =\"37689344\"]\n  22 -> 44 [size =\"37689344\"]\n  23 [size=\"76971520\", alpha=\"0.08\", expect_size=\"30788608\"] \n  23 -> 25 [size =\"30788608\"]\n  23 -> 29 [size =\"30788608\"]\n  23 -> 30 [size =\"30788608\"]\n  23 -> 34 [size =\"30788608\"]\n  23 -> 37 [size =\"30788608\"]\n  23 -> 38 [size =\"30788608\"]\n  23 -> 40 [size =\"30788608\"]\n  23 -> 41 [size =\"30788608\"]\n  23 -> 46 [size =\"30788608\"]\n  23 -> 47 [size =\"30788608\"]\n  24 [size=\"64225280\", alpha=\"0.15\", expect_size=\"25690112\"] \n  24 -> 25 [size =\"25690112\"]\n  24 -> 29 [size =\"25690112\"]\n  24 -> 34 [size =\"25690112\"]\n  24 -> 38 [size =\"25690112\"]\n  24 -> 40 [size =\"25690112\"]\n  24 -> 41 [size =\"25690112\"]\n  24 -> 47 [size =\"25690112\"]\n  25 [size=\"105116160\", alpha=\"0.05\", expect_size=\"42046464\"] \n  26 [size=\"71700480\", alpha=\"0.01\", expect_size=\"28680192\"] \n  27 [size=\"98007040\", alpha=\"0.05\", expect_size=\"39202816\"] \n  28 [size=\"109166080\", alpha=\"0.13\", expect_size=\"43666432\"] \n  29 [size=\"34365440\", alpha=\"0.02\", expect_size=\"13746176\"] \n  30 [size=\"81438720\", alpha=\"0.14\", expect_size=\"32575488\"] \n  31 [size=\"47518720\", alpha=\"0.17\", expect_size=\"19007488\"] \n  32 [size=\"97474560\", alpha=\"0.07\", expect_size=\"38989824\"] \n  33 [size=\"77109760\", alpha=\"0.12\", expect_size=\"30843904\"] \n  34 [size=\"125079040\", alpha=\"0.07\", expect_size=\"50031616\"] \n  35 [size=\"95603200\", alpha=\"0.03\", expect_size=\"38241280\"] \n  36 [size=\"123571200\", alpha=\"0.11\", expect_size=\"49428480\"] \n  37 [size=\"128371200\", alpha=\"0.07\", expect_size=\"51348480\"] \n  38 [size=\"37649920\", alpha=\"0.13\", expect_size=\"15059968\"] \n  39 [size=\"115174400\", alpha=\"0.01\", expect_size=\"46069760\"] \n  40 [size=\"127616000\", alpha=\"0.06\", expect_size=\"51046400\"] \n  41 [size=\"91709440\", alpha=\"0.05\", expect_size=\"36683776\"] \n  42 [size=\"76275200\", alpha=\"0.17\", expect_size=\"30510080\"] \n  43 [size=\"119096320\", alpha=\"0.00\", expect_size=\"47638528\"] \n  44 [size=\"70760960\", alpha=\"0.12\", expect_size=\"28304384\"] \n  45 [size=\"113899520\", alpha=\"0.20\", expect_size=\"45559808\"] \n  46 [size=\"128811520\", alpha=\"0.17\", expect_size=\"51524608\"] \n  47 [size=\"78387200\", alpha=\"0.09\", expect_size=\"31354880\"] \n  48 [size=\"117017600\", alpha=\"0.17\", expect_size=\"46807040\"] \n  49 [size=\"72834560\", alpha=\"0.09\", expect_size=\"29133824\"] \n  50 [size=\"77959680\", alpha=\"0.12\", expect_size=\"31183872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49607680\", alpha=\"0.19\", expect_size=\"19843072\"] \n  1 -> 3 [size =\"19843072\"]\n  1 -> 4 [size =\"19843072\"]\n  2 [size=\"23098880\", alpha=\"0.19\", expect_size=\"9239552\"] \n  2 -> 3 [size =\"9239552\"]\n  2 -> 5 [size =\"9239552\"]\n  3 [size=\"89574400\", alpha=\"0.10\", expect_size=\"35829760\"] \n  3 -> 6 [size =\"35829760\"]\n  3 -> 7 [size =\"35829760\"]\n  4 [size=\"22650880\", alpha=\"0.13\", expect_size=\"9060352\"] \n  5 [size=\"69122560\", alpha=\"0.02\", expect_size=\"27649024\"] \n  6 [size=\"129228800\", alpha=\"0.00\", expect_size=\"51691520\"] \n  6 -> 8 [size =\"51691520\"]\n  7 [size=\"71823360\", alpha=\"0.09\", expect_size=\"28729344\"] \n  7 -> 8 [size =\"28729344\"]\n  7 -> 9 [size =\"28729344\"]\n  8 [size=\"81925120\", alpha=\"0.17\", expect_size=\"32770048\"] \n  8 -> 10 [size =\"32770048\"]\n  9 [size=\"83092480\", alpha=\"0.17\", expect_size=\"33236992\"] \n  9 -> 10 [size =\"33236992\"]\n  9 -> 11 [size =\"33236992\"]\n  10 [size=\"107770880\", alpha=\"0.12\", expect_size=\"43108352\"] \n  10 -> 12 [size =\"43108352\"]\n  10 -> 13 [size =\"43108352\"]\n  11 [size=\"41525760\", alpha=\"0.11\", expect_size=\"16610304\"] \n  12 [size=\"38092800\", alpha=\"0.14\", expect_size=\"15237120\"] \n  12 -> 14 [size =\"15237120\"]\n  12 -> 16 [size =\"15237120\"]\n  13 [size=\"31761920\", alpha=\"0.08\", expect_size=\"12704768\"] \n  13 -> 14 [size =\"12704768\"]\n  13 -> 15 [size =\"12704768\"]\n  14 [size=\"93173760\", alpha=\"0.11\", expect_size=\"37269504\"] \n  14 -> 17 [size =\"37269504\"]\n  14 -> 18 [size =\"37269504\"]\n  14 -> 19 [size =\"37269504\"]\n  15 [size=\"51578880\", alpha=\"0.01\", expect_size=\"20631552\"] \n  15 -> 17 [size =\"20631552\"]\n  15 -> 18 [size =\"20631552\"]\n  16 [size=\"64071680\", alpha=\"0.04\", expect_size=\"25628672\"] \n  17 [size=\"66572800\", alpha=\"0.15\", expect_size=\"26629120\"] \n  17 -> 20 [size =\"26629120\"]\n  17 -> 21 [size =\"26629120\"]\n  18 [size=\"121436160\", alpha=\"0.11\", expect_size=\"48574464\"] \n  18 -> 20 [size =\"48574464\"]\n  18 -> 21 [size =\"48574464\"]\n  18 -> 22 [size =\"48574464\"]\n  19 [size=\"101409280\", alpha=\"0.03\", expect_size=\"40563712\"] \n  20 [size=\"86100480\", alpha=\"0.03\", expect_size=\"34440192\"] \n  20 -> 23 [size =\"34440192\"]\n  20 -> 24 [size =\"34440192\"]\n  21 [size=\"39726080\", alpha=\"0.08\", expect_size=\"15890432\"] \n  21 -> 23 [size =\"15890432\"]\n  21 -> 25 [size =\"15890432\"]\n  22 [size=\"103651840\", alpha=\"0.15\", expect_size=\"41460736\"] \n  22 -> 24 [size =\"41460736\"]\n  22 -> 25 [size =\"41460736\"]\n  23 [size=\"69867520\", alpha=\"0.15\", expect_size=\"27947008\"] \n  23 -> 26 [size =\"27947008\"]\n  23 -> 27 [size =\"27947008\"]\n  24 [size=\"114680320\", alpha=\"0.17\", expect_size=\"45872128\"] \n  24 -> 26 [size =\"45872128\"]\n  25 [size=\"64391680\", alpha=\"0.08\", expect_size=\"25756672\"] \n  25 -> 27 [size =\"25756672\"]\n  26 [size=\"70113280\", alpha=\"0.19\", expect_size=\"28045312\"] \n  26 -> 29 [size =\"28045312\"]\n  27 [size=\"92753920\", alpha=\"0.00\", expect_size=\"37101568\"] \n  27 -> 28 [size =\"37101568\"]\n  27 -> 29 [size =\"37101568\"]\n  28 [size=\"60549120\", alpha=\"0.13\", expect_size=\"24219648\"] \n  28 -> 30 [size =\"24219648\"]\n  28 -> 31 [size =\"24219648\"]\n  29 [size=\"125693440\", alpha=\"0.17\", expect_size=\"50277376\"] \n  30 [size=\"27169280\", alpha=\"0.18\", expect_size=\"10867712\"] \n  30 -> 32 [size =\"10867712\"]\n  31 [size=\"42414080\", alpha=\"0.03\", expect_size=\"16965632\"] \n  31 -> 32 [size =\"16965632\"]\n  31 -> 33 [size =\"16965632\"]\n  32 [size=\"89968640\", alpha=\"0.13\", expect_size=\"35987456\"] \n  32 -> 35 [size =\"35987456\"]\n  33 [size=\"61857280\", alpha=\"0.05\", expect_size=\"24742912\"] \n  33 -> 34 [size =\"24742912\"]\n  33 -> 35 [size =\"24742912\"]\n  34 [size=\"34549760\", alpha=\"0.11\", expect_size=\"13819904\"] \n  34 -> 36 [size =\"13819904\"]\n  35 [size=\"17592320\", alpha=\"0.04\", expect_size=\"7036928\"] \n  35 -> 37 [size =\"7036928\"]\n  36 [size=\"66997760\", alpha=\"0.06\", expect_size=\"26799104\"] \n  36 -> 38 [size =\"26799104\"]\n  37 [size=\"62963200\", alpha=\"0.16\", expect_size=\"25185280\"] \n  37 -> 38 [size =\"25185280\"]\n  37 -> 39 [size =\"25185280\"]\n  37 -> 40 [size =\"25185280\"]\n  38 [size=\"64202240\", alpha=\"0.05\", expect_size=\"25680896\"] \n  38 -> 41 [size =\"25680896\"]\n  38 -> 42 [size =\"25680896\"]\n  39 [size=\"21570560\", alpha=\"0.09\", expect_size=\"8628224\"] \n  40 [size=\"123020800\", alpha=\"0.05\", expect_size=\"49208320\"] \n  40 -> 41 [size =\"49208320\"]\n  41 [size=\"109319680\", alpha=\"0.06\", expect_size=\"43727872\"] \n  41 -> 44 [size =\"43727872\"]\n  42 [size=\"126858240\", alpha=\"0.02\", expect_size=\"50743296\"] \n  42 -> 43 [size =\"50743296\"]\n  42 -> 44 [size =\"50743296\"]\n  43 [size=\"82654720\", alpha=\"0.08\", expect_size=\"33061888\"] \n  43 -> 46 [size =\"33061888\"]\n  44 [size=\"113331200\", alpha=\"0.11\", expect_size=\"45332480\"] \n  44 -> 45 [size =\"45332480\"]\n  44 -> 46 [size =\"45332480\"]\n  45 [size=\"63024640\", alpha=\"0.02\", expect_size=\"25209856\"] \n  45 -> 47 [size =\"25209856\"]\n  45 -> 48 [size =\"25209856\"]\n  46 [size=\"88174080\", alpha=\"0.03\", expect_size=\"35269632\"] \n  46 -> 48 [size =\"35269632\"]\n  46 -> 49 [size =\"35269632\"]\n  47 [size=\"121781760\", alpha=\"0.18\", expect_size=\"48712704\"] \n  47 -> 50 [size =\"48712704\"]\n  48 [size=\"99351040\", alpha=\"0.01\", expect_size=\"39740416\"] \n  49 [size=\"129205760\", alpha=\"0.03\", expect_size=\"51682304\"] \n  50 [size=\"63726080\", alpha=\"0.07\", expect_size=\"25490432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.670.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89593173\", alpha=\"0.20\", expect_size=\"26877952\"] \n  1 -> 4 [size =\"26877952\"]\n  2 [size=\"120275627\", alpha=\"0.05\", expect_size=\"36082688\"] \n  3 [size=\"25589760\", alpha=\"0.09\", expect_size=\"7676928\"] \n  3 -> 4 [size =\"7676928\"]\n  3 -> 5 [size =\"7676928\"]\n  3 -> 6 [size =\"7676928\"]\n  4 [size=\"85319680\", alpha=\"0.11\", expect_size=\"25595904\"] \n  4 -> 7 [size =\"25595904\"]\n  5 [size=\"55965013\", alpha=\"0.11\", expect_size=\"16789504\"] \n  6 [size=\"31389013\", alpha=\"0.14\", expect_size=\"9416704\"] \n  6 -> 7 [size =\"9416704\"]\n  7 [size=\"119534933\", alpha=\"0.10\", expect_size=\"35860480\"] \n  7 -> 8 [size =\"35860480\"]\n  7 -> 9 [size =\"35860480\"]\n  7 -> 10 [size =\"35860480\"]\n  7 -> 11 [size =\"35860480\"]\n  8 [size=\"153036800\", alpha=\"0.02\", expect_size=\"45911040\"] \n  9 [size=\"115882667\", alpha=\"0.15\", expect_size=\"34764800\"] \n  9 -> 12 [size =\"34764800\"]\n  10 [size=\"83947520\", alpha=\"0.12\", expect_size=\"25184256\"] \n  10 -> 12 [size =\"25184256\"]\n  11 [size=\"68505600\", alpha=\"0.02\", expect_size=\"20551680\"] \n  11 -> 12 [size =\"20551680\"]\n  12 [size=\"67072000\", alpha=\"0.02\", expect_size=\"20121600\"] \n  12 -> 13 [size =\"20121600\"]\n  13 [size=\"105349120\", alpha=\"0.11\", expect_size=\"31604736\"] \n  13 -> 14 [size =\"31604736\"]\n  13 -> 15 [size =\"31604736\"]\n  13 -> 16 [size =\"31604736\"]\n  14 [size=\"174475947\", alpha=\"0.17\", expect_size=\"52342784\"] \n  14 -> 17 [size =\"52342784\"]\n  15 [size=\"105850880\", alpha=\"0.18\", expect_size=\"31755264\"] \n  16 [size=\"38225920\", alpha=\"0.02\", expect_size=\"11467776\"] \n  17 [size=\"149695147\", alpha=\"0.05\", expect_size=\"44908544\"] \n  17 -> 18 [size =\"44908544\"]\n  17 -> 19 [size =\"44908544\"]\n  17 -> 20 [size =\"44908544\"]\n  18 [size=\"71072427\", alpha=\"0.06\", expect_size=\"21321728\"] \n  19 [size=\"85889707\", alpha=\"0.17\", expect_size=\"25766912\"] \n  20 [size=\"43158187\", alpha=\"0.10\", expect_size=\"12947456\"] \n  20 -> 21 [size =\"12947456\"]\n  20 -> 22 [size =\"12947456\"]\n  21 [size=\"134768640\", alpha=\"0.12\", expect_size=\"40430592\"] \n  21 -> 23 [size =\"40430592\"]\n  21 -> 24 [size =\"40430592\"]\n  21 -> 25 [size =\"40430592\"]\n  21 -> 26 [size =\"40430592\"]\n  22 [size=\"154385067\", alpha=\"0.07\", expect_size=\"46315520\"] \n  22 -> 24 [size =\"46315520\"]\n  22 -> 25 [size =\"46315520\"]\n  23 [size=\"172649813\", alpha=\"0.03\", expect_size=\"51794944\"] \n  23 -> 28 [size =\"51794944\"]\n  23 -> 29 [size =\"51794944\"]\n  24 [size=\"105588053\", alpha=\"0.08\", expect_size=\"31676416\"] \n  24 -> 27 [size =\"31676416\"]\n  25 [size=\"83950933\", alpha=\"0.18\", expect_size=\"25185280\"] \n  25 -> 28 [size =\"25185280\"]\n  25 -> 29 [size =\"25185280\"]\n  26 [size=\"71830187\", alpha=\"0.09\", expect_size=\"21549056\"] \n  26 -> 29 [size =\"21549056\"]\n  27 [size=\"86480213\", alpha=\"0.13\", expect_size=\"25944064\"] \n  27 -> 30 [size =\"25944064\"]\n  28 [size=\"129300480\", alpha=\"0.15\", expect_size=\"38790144\"] \n  28 -> 31 [size =\"38790144\"]\n  29 [size=\"17909760\", alpha=\"0.09\", expect_size=\"5372928\"] \n  29 -> 31 [size =\"5372928\"]\n  29 -> 32 [size =\"5372928\"]\n  30 [size=\"153207467\", alpha=\"0.12\", expect_size=\"45962240\"] \n  30 -> 33 [size =\"45962240\"]\n  30 -> 34 [size =\"45962240\"]\n  31 [size=\"74813440\", alpha=\"0.01\", expect_size=\"22444032\"] \n  31 -> 35 [size =\"22444032\"]\n  32 [size=\"169413973\", alpha=\"0.16\", expect_size=\"50824192\"] \n  32 -> 33 [size =\"50824192\"]\n  32 -> 35 [size =\"50824192\"]\n  33 [size=\"67956053\", alpha=\"0.03\", expect_size=\"20386816\"] \n  33 -> 36 [size =\"20386816\"]\n  33 -> 37 [size =\"20386816\"]\n  33 -> 38 [size =\"20386816\"]\n  34 [size=\"93129387\", alpha=\"0.09\", expect_size=\"27938816\"] \n  35 [size=\"155487573\", alpha=\"0.07\", expect_size=\"46646272\"] \n  35 -> 38 [size =\"46646272\"]\n  36 [size=\"136236373\", alpha=\"0.07\", expect_size=\"40870912\"] \n  36 -> 40 [size =\"40870912\"]\n  37 [size=\"49285120\", alpha=\"0.04\", expect_size=\"14785536\"] \n  37 -> 39 [size =\"14785536\"]\n  38 [size=\"153989120\", alpha=\"0.08\", expect_size=\"46196736\"] \n  38 -> 41 [size =\"46196736\"]\n  39 [size=\"114039467\", alpha=\"0.01\", expect_size=\"34211840\"] \n  39 -> 42 [size =\"34211840\"]\n  40 [size=\"27852800\", alpha=\"0.17\", expect_size=\"8355840\"] \n  41 [size=\"119183360\", alpha=\"0.08\", expect_size=\"35755008\"] \n  42 [size=\"124487680\", alpha=\"0.16\", expect_size=\"37346304\"] \n  42 -> 43 [size =\"37346304\"]\n  42 -> 44 [size =\"37346304\"]\n  42 -> 45 [size =\"37346304\"]\n  42 -> 46 [size =\"37346304\"]\n  43 [size=\"93364907\", alpha=\"0.04\", expect_size=\"28009472\"] \n  43 -> 47 [size =\"28009472\"]\n  44 [size=\"113691307\", alpha=\"0.04\", expect_size=\"34107392\"] \n  44 -> 47 [size =\"34107392\"]\n  44 -> 50 [size =\"34107392\"]\n  45 [size=\"27893760\", alpha=\"0.11\", expect_size=\"8368128\"] \n  45 -> 49 [size =\"8368128\"]\n  45 -> 50 [size =\"8368128\"]\n  46 [size=\"81636693\", alpha=\"0.06\", expect_size=\"24491008\"] \n  46 -> 48 [size =\"24491008\"]\n  46 -> 49 [size =\"24491008\"]\n  46 -> 50 [size =\"24491008\"]\n  47 [size=\"138383360\", alpha=\"0.09\", expect_size=\"41515008\"] \n  48 [size=\"173069653\", alpha=\"0.07\", expect_size=\"51920896\"] \n  49 [size=\"82001920\", alpha=\"0.04\", expect_size=\"24600576\"] \n  50 [size=\"90886827\", alpha=\"0.19\", expect_size=\"27266048\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.671.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70850560\", alpha=\"0.10\", expect_size=\"21255168\"] \n  1 -> 2 [size =\"21255168\"]\n  2 [size=\"80701440\", alpha=\"0.14\", expect_size=\"24210432\"] \n  2 -> 3 [size =\"24210432\"]\n  3 [size=\"161594027\", alpha=\"0.01\", expect_size=\"48478208\"] \n  3 -> 4 [size =\"48478208\"]\n  4 [size=\"102027947\", alpha=\"0.17\", expect_size=\"30608384\"] \n  4 -> 5 [size =\"30608384\"]\n  5 [size=\"47353173\", alpha=\"0.05\", expect_size=\"14205952\"] \n  5 -> 6 [size =\"14205952\"]\n  6 [size=\"147616427\", alpha=\"0.15\", expect_size=\"44284928\"] \n  6 -> 7 [size =\"44284928\"]\n  7 [size=\"135236267\", alpha=\"0.03\", expect_size=\"40570880\"] \n  7 -> 8 [size =\"40570880\"]\n  8 [size=\"104608427\", alpha=\"0.19\", expect_size=\"31382528\"] \n  8 -> 9 [size =\"31382528\"]\n  9 [size=\"163386027\", alpha=\"0.18\", expect_size=\"49015808\"] \n  9 -> 10 [size =\"49015808\"]\n  10 [size=\"99266560\", alpha=\"0.05\", expect_size=\"29779968\"] \n  10 -> 11 [size =\"29779968\"]\n  11 [size=\"159614293\", alpha=\"0.05\", expect_size=\"47884288\"] \n  11 -> 12 [size =\"47884288\"]\n  12 [size=\"78882133\", alpha=\"0.10\", expect_size=\"23664640\"] \n  12 -> 13 [size =\"23664640\"]\n  13 [size=\"30730240\", alpha=\"0.03\", expect_size=\"9219072\"] \n  13 -> 14 [size =\"9219072\"]\n  14 [size=\"35423573\", alpha=\"0.14\", expect_size=\"10627072\"] \n  14 -> 15 [size =\"10627072\"]\n  15 [size=\"166311253\", alpha=\"0.16\", expect_size=\"49893376\"] \n  15 -> 16 [size =\"49893376\"]\n  16 [size=\"47943680\", alpha=\"0.17\", expect_size=\"14383104\"] \n  16 -> 17 [size =\"14383104\"]\n  17 [size=\"165034667\", alpha=\"0.01\", expect_size=\"49510400\"] \n  17 -> 18 [size =\"49510400\"]\n  18 [size=\"30668800\", alpha=\"0.04\", expect_size=\"9200640\"] \n  18 -> 19 [size =\"9200640\"]\n  19 [size=\"25477120\", alpha=\"0.09\", expect_size=\"7643136\"] \n  19 -> 20 [size =\"7643136\"]\n  20 [size=\"168304640\", alpha=\"0.15\", expect_size=\"50491392\"] \n  20 -> 21 [size =\"50491392\"]\n  21 [size=\"47967573\", alpha=\"0.08\", expect_size=\"14390272\"] \n  21 -> 22 [size =\"14390272\"]\n  22 [size=\"87644160\", alpha=\"0.09\", expect_size=\"26293248\"] \n  22 -> 23 [size =\"26293248\"]\n  23 [size=\"167461547\", alpha=\"0.09\", expect_size=\"50238464\"] \n  23 -> 24 [size =\"50238464\"]\n  24 [size=\"32931840\", alpha=\"0.19\", expect_size=\"9879552\"] \n  24 -> 25 [size =\"9879552\"]\n  25 [size=\"143694507\", alpha=\"0.13\", expect_size=\"43108352\"] \n  25 -> 26 [size =\"43108352\"]\n  26 [size=\"109854720\", alpha=\"0.03\", expect_size=\"32956416\"] \n  26 -> 27 [size =\"32956416\"]\n  27 [size=\"88715947\", alpha=\"0.09\", expect_size=\"26614784\"] \n  27 -> 28 [size =\"26614784\"]\n  28 [size=\"96068267\", alpha=\"0.05\", expect_size=\"28820480\"] \n  28 -> 29 [size =\"28820480\"]\n  29 [size=\"125856427\", alpha=\"0.01\", expect_size=\"37756928\"] \n  29 -> 30 [size =\"37756928\"]\n  30 [size=\"38997333\", alpha=\"0.06\", expect_size=\"11699200\"] \n  30 -> 31 [size =\"11699200\"]\n  31 [size=\"158614187\", alpha=\"0.10\", expect_size=\"47584256\"] \n  31 -> 32 [size =\"47584256\"]\n  32 [size=\"66222080\", alpha=\"0.01\", expect_size=\"19866624\"] \n  32 -> 33 [size =\"19866624\"]\n  33 [size=\"139622400\", alpha=\"0.14\", expect_size=\"41886720\"] \n  33 -> 34 [size =\"41886720\"]\n  34 [size=\"51066880\", alpha=\"0.09\", expect_size=\"15320064\"] \n  34 -> 35 [size =\"15320064\"]\n  35 [size=\"42400427\", alpha=\"0.04\", expect_size=\"12720128\"] \n  35 -> 36 [size =\"12720128\"]\n  36 [size=\"143503360\", alpha=\"0.02\", expect_size=\"43051008\"] \n  36 -> 37 [size =\"43051008\"]\n  37 [size=\"169946453\", alpha=\"0.19\", expect_size=\"50983936\"] \n  37 -> 38 [size =\"50983936\"]\n  38 [size=\"82199893\", alpha=\"0.17\", expect_size=\"24659968\"] \n  38 -> 39 [size =\"24659968\"]\n  39 [size=\"124689067\", alpha=\"0.17\", expect_size=\"37406720\"] \n  39 -> 40 [size =\"37406720\"]\n  40 [size=\"128750933\", alpha=\"0.16\", expect_size=\"38625280\"] \n  40 -> 41 [size =\"38625280\"]\n  41 [size=\"18892800\", alpha=\"0.19\", expect_size=\"5667840\"] \n  41 -> 42 [size =\"5667840\"]\n  42 [size=\"94539093\", alpha=\"0.10\", expect_size=\"28361728\"] \n  42 -> 43 [size =\"28361728\"]\n  43 [size=\"102522880\", alpha=\"0.01\", expect_size=\"30756864\"] \n  43 -> 44 [size =\"30756864\"]\n  44 [size=\"56101547\", alpha=\"0.13\", expect_size=\"16830464\"] \n  44 -> 45 [size =\"16830464\"]\n  45 [size=\"130508800\", alpha=\"0.02\", expect_size=\"39152640\"] \n  45 -> 46 [size =\"39152640\"]\n  46 [size=\"160006827\", alpha=\"0.03\", expect_size=\"48002048\"] \n  46 -> 47 [size =\"48002048\"]\n  47 [size=\"17783467\", alpha=\"0.12\", expect_size=\"5335040\"] \n  47 -> 48 [size =\"5335040\"]\n  48 [size=\"165963093\", alpha=\"0.12\", expect_size=\"49788928\"] \n  48 -> 49 [size =\"49788928\"]\n  49 [size=\"145892693\", alpha=\"0.05\", expect_size=\"43767808\"] \n  49 -> 50 [size =\"43767808\"]\n  50 [size=\"122849280\", alpha=\"0.01\", expect_size=\"36854784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.672.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68489216\", alpha=\"0.04\", expect_size=\"34244608\"] \n  1 -> 5 [size =\"34244608\"]\n  1 -> 6 [size =\"34244608\"]\n  1 -> 6 [size =\"34244608\"]\n  2 [size=\"55343104\", alpha=\"0.13\", expect_size=\"27671552\"] \n  3 [size=\"103096320\", alpha=\"0.15\", expect_size=\"51548160\"] \n  3 -> 4 [size =\"51548160\"]\n  3 -> 5 [size =\"51548160\"]\n  3 -> 6 [size =\"51548160\"]\n  4 [size=\"87525376\", alpha=\"0.01\", expect_size=\"43762688\"] \n  4 -> 7 [size =\"43762688\"]\n  4 -> 8 [size =\"43762688\"]\n  5 [size=\"63893504\", alpha=\"0.15\", expect_size=\"31946752\"] \n  5 -> 7 [size =\"31946752\"]\n  5 -> 9 [size =\"31946752\"]\n  6 [size=\"28725248\", alpha=\"0.16\", expect_size=\"14362624\"] \n  6 -> 9 [size =\"14362624\"]\n  7 [size=\"76689408\", alpha=\"0.06\", expect_size=\"38344704\"] \n  7 -> 10 [size =\"38344704\"]\n  7 -> 11 [size =\"38344704\"]\n  8 [size=\"81987584\", alpha=\"0.11\", expect_size=\"40993792\"] \n  8 -> 12 [size =\"40993792\"]\n  9 [size=\"70125568\", alpha=\"0.13\", expect_size=\"35062784\"] \n  9 -> 10 [size =\"35062784\"]\n  10 [size=\"36319232\", alpha=\"0.12\", expect_size=\"18159616\"] \n  10 -> 14 [size =\"18159616\"]\n  10 -> 15 [size =\"18159616\"]\n  11 [size=\"53526528\", alpha=\"0.18\", expect_size=\"26763264\"] \n  11 -> 13 [size =\"26763264\"]\n  11 -> 14 [size =\"26763264\"]\n  11 -> 15 [size =\"26763264\"]\n  12 [size=\"74000384\", alpha=\"0.18\", expect_size=\"37000192\"] \n  12 -> 13 [size =\"37000192\"]\n  12 -> 15 [size =\"37000192\"]\n  13 [size=\"43116544\", alpha=\"0.14\", expect_size=\"21558272\"] \n  13 -> 16 [size =\"21558272\"]\n  14 [size=\"18067456\", alpha=\"0.15\", expect_size=\"9033728\"] \n  14 -> 16 [size =\"9033728\"]\n  14 -> 17 [size =\"9033728\"]\n  15 [size=\"22153216\", alpha=\"0.15\", expect_size=\"11076608\"] \n  15 -> 17 [size =\"11076608\"]\n  16 [size=\"94162944\", alpha=\"0.12\", expect_size=\"47081472\"] \n  16 -> 18 [size =\"47081472\"]\n  16 -> 19 [size =\"47081472\"]\n  16 -> 20 [size =\"47081472\"]\n  17 [size=\"74188800\", alpha=\"0.02\", expect_size=\"37094400\"] \n  17 -> 20 [size =\"37094400\"]\n  18 [size=\"103047168\", alpha=\"0.01\", expect_size=\"51523584\"] \n  18 -> 22 [size =\"51523584\"]\n  19 [size=\"60801024\", alpha=\"0.04\", expect_size=\"30400512\"] \n  19 -> 22 [size =\"30400512\"]\n  20 [size=\"28598272\", alpha=\"0.04\", expect_size=\"14299136\"] \n  20 -> 21 [size =\"14299136\"]\n  20 -> 23 [size =\"14299136\"]\n  21 [size=\"83058688\", alpha=\"0.16\", expect_size=\"41529344\"] \n  21 -> 25 [size =\"41529344\"]\n  21 -> 26 [size =\"41529344\"]\n  22 [size=\"75259904\", alpha=\"0.17\", expect_size=\"37629952\"] \n  22 -> 26 [size =\"37629952\"]\n  23 [size=\"66160640\", alpha=\"0.18\", expect_size=\"33080320\"] \n  23 -> 24 [size =\"33080320\"]\n  23 -> 25 [size =\"33080320\"]\n  24 [size=\"39034880\", alpha=\"0.16\", expect_size=\"19517440\"] \n  24 -> 27 [size =\"19517440\"]\n  24 -> 28 [size =\"19517440\"]\n  25 [size=\"17481728\", alpha=\"0.04\", expect_size=\"8740864\"] \n  25 -> 27 [size =\"8740864\"]\n  26 [size=\"88979456\", alpha=\"0.17\", expect_size=\"44489728\"] \n  27 [size=\"50571264\", alpha=\"0.03\", expect_size=\"25285632\"] \n  27 -> 30 [size =\"25285632\"]\n  28 [size=\"62052352\", alpha=\"0.05\", expect_size=\"31026176\"] \n  28 -> 29 [size =\"31026176\"]\n  28 -> 30 [size =\"31026176\"]\n  29 [size=\"65232896\", alpha=\"0.19\", expect_size=\"32616448\"] \n  29 -> 32 [size =\"32616448\"]\n  30 [size=\"84838400\", alpha=\"0.19\", expect_size=\"42419200\"] \n  30 -> 31 [size =\"42419200\"]\n  31 [size=\"102631424\", alpha=\"0.08\", expect_size=\"51315712\"] \n  31 -> 33 [size =\"51315712\"]\n  31 -> 35 [size =\"51315712\"]\n  32 [size=\"82239488\", alpha=\"0.11\", expect_size=\"41119744\"] \n  32 -> 33 [size =\"41119744\"]\n  32 -> 34 [size =\"41119744\"]\n  32 -> 35 [size =\"41119744\"]\n  33 [size=\"68524032\", alpha=\"0.00\", expect_size=\"34262016\"] \n  33 -> 37 [size =\"34262016\"]\n  34 [size=\"59723776\", alpha=\"0.11\", expect_size=\"29861888\"] \n  34 -> 36 [size =\"29861888\"]\n  34 -> 37 [size =\"29861888\"]\n  35 [size=\"38508544\", alpha=\"0.04\", expect_size=\"19254272\"] \n  35 -> 36 [size =\"19254272\"]\n  36 [size=\"58281984\", alpha=\"0.16\", expect_size=\"29140992\"] \n  36 -> 38 [size =\"29140992\"]\n  36 -> 39 [size =\"29140992\"]\n  37 [size=\"42915840\", alpha=\"0.00\", expect_size=\"21457920\"] \n  37 -> 38 [size =\"21457920\"]\n  38 [size=\"58613760\", alpha=\"0.05\", expect_size=\"29306880\"] \n  38 -> 40 [size =\"29306880\"]\n  38 -> 41 [size =\"29306880\"]\n  39 [size=\"82505728\", alpha=\"0.19\", expect_size=\"41252864\"] \n  39 -> 41 [size =\"41252864\"]\n  39 -> 42 [size =\"41252864\"]\n  40 [size=\"79863808\", alpha=\"0.18\", expect_size=\"39931904\"] \n  40 -> 43 [size =\"39931904\"]\n  40 -> 44 [size =\"39931904\"]\n  40 -> 45 [size =\"39931904\"]\n  41 [size=\"76519424\", alpha=\"0.12\", expect_size=\"38259712\"] \n  41 -> 43 [size =\"38259712\"]\n  41 -> 44 [size =\"38259712\"]\n  41 -> 45 [size =\"38259712\"]\n  42 [size=\"21143552\", alpha=\"0.00\", expect_size=\"10571776\"] \n  42 -> 43 [size =\"10571776\"]\n  42 -> 45 [size =\"10571776\"]\n  43 [size=\"71622656\", alpha=\"0.00\", expect_size=\"35811328\"] \n  43 -> 47 [size =\"35811328\"]\n  44 [size=\"71845888\", alpha=\"0.06\", expect_size=\"35922944\"] \n  44 -> 46 [size =\"35922944\"]\n  45 [size=\"29394944\", alpha=\"0.13\", expect_size=\"14697472\"] \n  45 -> 47 [size =\"14697472\"]\n  45 -> 48 [size =\"14697472\"]\n  46 [size=\"50309120\", alpha=\"0.17\", expect_size=\"25154560\"] \n  46 -> 49 [size =\"25154560\"]\n  47 [size=\"29523968\", alpha=\"0.09\", expect_size=\"14761984\"] \n  48 [size=\"30740480\", alpha=\"0.12\", expect_size=\"15370240\"] \n  48 -> 50 [size =\"15370240\"]\n  49 [size=\"52150272\", alpha=\"0.07\", expect_size=\"26075136\"] \n  50 [size=\"49698816\", alpha=\"0.18\", expect_size=\"24849408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.673.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51496960\", alpha=\"0.14\", expect_size=\"20598784\"] \n  1 -> 38 [size =\"20598784\"]\n  1 -> 40 [size =\"20598784\"]\n  1 -> 41 [size =\"20598784\"]\n  1 -> 46 [size =\"20598784\"]\n  1 -> 49 [size =\"20598784\"]\n  1 -> 50 [size =\"20598784\"]\n  2 [size=\"127267840\", alpha=\"0.16\", expect_size=\"50907136\"] \n  2 -> 38 [size =\"50907136\"]\n  2 -> 39 [size =\"50907136\"]\n  2 -> 40 [size =\"50907136\"]\n  2 -> 41 [size =\"50907136\"]\n  2 -> 46 [size =\"50907136\"]\n  2 -> 49 [size =\"50907136\"]\n  3 [size=\"87390720\", alpha=\"0.08\", expect_size=\"34956288\"] \n  3 -> 37 [size =\"34956288\"]\n  3 -> 38 [size =\"34956288\"]\n  3 -> 41 [size =\"34956288\"]\n  3 -> 46 [size =\"34956288\"]\n  3 -> 47 [size =\"34956288\"]\n  3 -> 49 [size =\"34956288\"]\n  4 [size=\"80611840\", alpha=\"0.07\", expect_size=\"32244736\"] \n  4 -> 39 [size =\"32244736\"]\n  4 -> 41 [size =\"32244736\"]\n  4 -> 46 [size =\"32244736\"]\n  4 -> 49 [size =\"32244736\"]\n  5 [size=\"82982400\", alpha=\"0.03\", expect_size=\"33192960\"] \n  5 -> 40 [size =\"33192960\"]\n  5 -> 46 [size =\"33192960\"]\n  5 -> 46 [size =\"33192960\"]\n  5 -> 47 [size =\"33192960\"]\n  6 [size=\"125240320\", alpha=\"0.19\", expect_size=\"50096128\"] \n  6 -> 46 [size =\"50096128\"]\n  6 -> 47 [size =\"50096128\"]\n  7 [size=\"129876480\", alpha=\"0.18\", expect_size=\"51950592\"] \n  7 -> 37 [size =\"51950592\"]\n  7 -> 44 [size =\"51950592\"]\n  7 -> 47 [size =\"51950592\"]\n  8 [size=\"99778560\", alpha=\"0.09\", expect_size=\"39911424\"] \n  8 -> 37 [size =\"39911424\"]\n  8 -> 43 [size =\"39911424\"]\n  8 -> 44 [size =\"39911424\"]\n  8 -> 48 [size =\"39911424\"]\n  9 [size=\"41000960\", alpha=\"0.10\", expect_size=\"16400384\"] \n  9 -> 37 [size =\"16400384\"]\n  9 -> 39 [size =\"16400384\"]\n  9 -> 40 [size =\"16400384\"]\n  9 -> 46 [size =\"16400384\"]\n  9 -> 47 [size =\"16400384\"]\n  9 -> 50 [size =\"16400384\"]\n  10 [size=\"36295680\", alpha=\"0.09\", expect_size=\"14518272\"] \n  10 -> 39 [size =\"14518272\"]\n  10 -> 39 [size =\"14518272\"]\n  10 -> 40 [size =\"14518272\"]\n  10 -> 50 [size =\"14518272\"]\n  11 [size=\"66408960\", alpha=\"0.05\", expect_size=\"26563584\"] \n  11 -> 38 [size =\"26563584\"]\n  11 -> 39 [size =\"26563584\"]\n  11 -> 41 [size =\"26563584\"]\n  11 -> 43 [size =\"26563584\"]\n  11 -> 48 [size =\"26563584\"]\n  11 -> 49 [size =\"26563584\"]\n  11 -> 50 [size =\"26563584\"]\n  12 [size=\"33361920\", alpha=\"0.09\", expect_size=\"13344768\"] \n  12 -> 38 [size =\"13344768\"]\n  12 -> 39 [size =\"13344768\"]\n  12 -> 43 [size =\"13344768\"]\n  12 -> 49 [size =\"13344768\"]\n  13 [size=\"126080000\", alpha=\"0.04\", expect_size=\"50432000\"] \n  13 -> 39 [size =\"50432000\"]\n  13 -> 46 [size =\"50432000\"]\n  13 -> 47 [size =\"50432000\"]\n  13 -> 50 [size =\"50432000\"]\n  14 [size=\"55918080\", alpha=\"0.07\", expect_size=\"22367232\"] \n  14 -> 37 [size =\"22367232\"]\n  14 -> 38 [size =\"22367232\"]\n  14 -> 45 [size =\"22367232\"]\n  14 -> 46 [size =\"22367232\"]\n  15 [size=\"99404800\", alpha=\"0.18\", expect_size=\"39761920\"] \n  15 -> 39 [size =\"39761920\"]\n  15 -> 40 [size =\"39761920\"]\n  15 -> 46 [size =\"39761920\"]\n  15 -> 47 [size =\"39761920\"]\n  16 [size=\"119828480\", alpha=\"0.10\", expect_size=\"47931392\"] \n  16 -> 40 [size =\"47931392\"]\n  16 -> 47 [size =\"47931392\"]\n  17 [size=\"112934400\", alpha=\"0.16\", expect_size=\"45173760\"] \n  17 -> 48 [size =\"45173760\"]\n  17 -> 50 [size =\"45173760\"]\n  18 [size=\"99266560\", alpha=\"0.09\", expect_size=\"39706624\"] \n  18 -> 39 [size =\"39706624\"]\n  18 -> 49 [size =\"39706624\"]\n  19 [size=\"33546240\", alpha=\"0.11\", expect_size=\"13418496\"] \n  19 -> 38 [size =\"13418496\"]\n  19 -> 47 [size =\"13418496\"]\n  19 -> 49 [size =\"13418496\"]\n  20 [size=\"92986880\", alpha=\"0.17\", expect_size=\"37194752\"] \n  20 -> 46 [size =\"37194752\"]\n  20 -> 49 [size =\"37194752\"]\n  21 [size=\"30405120\", alpha=\"0.09\", expect_size=\"12162048\"] \n  21 -> 43 [size =\"12162048\"]\n  21 -> 44 [size =\"12162048\"]\n  21 -> 47 [size =\"12162048\"]\n  22 [size=\"58252800\", alpha=\"0.00\", expect_size=\"23301120\"] \n  22 -> 37 [size =\"23301120\"]\n  22 -> 40 [size =\"23301120\"]\n  22 -> 42 [size =\"23301120\"]\n  22 -> 43 [size =\"23301120\"]\n  22 -> 46 [size =\"23301120\"]\n  23 [size=\"113113600\", alpha=\"0.04\", expect_size=\"45245440\"] \n  23 -> 38 [size =\"45245440\"]\n  23 -> 39 [size =\"45245440\"]\n  23 -> 43 [size =\"45245440\"]\n  23 -> 45 [size =\"45245440\"]\n  23 -> 46 [size =\"45245440\"]\n  23 -> 47 [size =\"45245440\"]\n  23 -> 49 [size =\"45245440\"]\n  24 [size=\"17433600\", alpha=\"0.19\", expect_size=\"6973440\"] \n  24 -> 38 [size =\"6973440\"]\n  24 -> 39 [size =\"6973440\"]\n  24 -> 40 [size =\"6973440\"]\n  24 -> 42 [size =\"6973440\"]\n  24 -> 46 [size =\"6973440\"]\n  24 -> 47 [size =\"6973440\"]\n  24 -> 48 [size =\"6973440\"]\n  24 -> 49 [size =\"6973440\"]\n  25 [size=\"60354560\", alpha=\"0.06\", expect_size=\"24141824\"] \n  25 -> 38 [size =\"24141824\"]\n  25 -> 40 [size =\"24141824\"]\n  25 -> 42 [size =\"24141824\"]\n  25 -> 45 [size =\"24141824\"]\n  25 -> 46 [size =\"24141824\"]\n  25 -> 49 [size =\"24141824\"]\n  25 -> 50 [size =\"24141824\"]\n  26 [size=\"51223040\", alpha=\"0.13\", expect_size=\"20489216\"] \n  26 -> 38 [size =\"20489216\"]\n  26 -> 44 [size =\"20489216\"]\n  26 -> 45 [size =\"20489216\"]\n  26 -> 46 [size =\"20489216\"]\n  27 [size=\"108884480\", alpha=\"0.19\", expect_size=\"43553792\"] \n  27 -> 37 [size =\"43553792\"]\n  27 -> 38 [size =\"43553792\"]\n  27 -> 39 [size =\"43553792\"]\n  27 -> 43 [size =\"43553792\"]\n  28 [size=\"86648320\", alpha=\"0.19\", expect_size=\"34659328\"] \n  28 -> 38 [size =\"34659328\"]\n  28 -> 39 [size =\"34659328\"]\n  28 -> 39 [size =\"34659328\"]\n  28 -> 40 [size =\"34659328\"]\n  28 -> 43 [size =\"34659328\"]\n  28 -> 48 [size =\"34659328\"]\n  28 -> 50 [size =\"34659328\"]\n  29 [size=\"20654080\", alpha=\"0.05\", expect_size=\"8261632\"] \n  29 -> 37 [size =\"8261632\"]\n  29 -> 38 [size =\"8261632\"]\n  29 -> 48 [size =\"8261632\"]\n  29 -> 50 [size =\"8261632\"]\n  30 [size=\"87104000\", alpha=\"0.14\", expect_size=\"34841600\"] \n  30 -> 38 [size =\"34841600\"]\n  30 -> 39 [size =\"34841600\"]\n  30 -> 49 [size =\"34841600\"]\n  30 -> 50 [size =\"34841600\"]\n  31 [size=\"67758080\", alpha=\"0.13\", expect_size=\"27103232\"] \n  31 -> 37 [size =\"27103232\"]\n  31 -> 39 [size =\"27103232\"]\n  31 -> 44 [size =\"27103232\"]\n  31 -> 47 [size =\"27103232\"]\n  31 -> 49 [size =\"27103232\"]\n  32 [size=\"118973440\", alpha=\"0.14\", expect_size=\"47589376\"] \n  32 -> 38 [size =\"47589376\"]\n  32 -> 39 [size =\"47589376\"]\n  32 -> 40 [size =\"47589376\"]\n  32 -> 49 [size =\"47589376\"]\n  32 -> 50 [size =\"47589376\"]\n  33 [size=\"118978560\", alpha=\"0.15\", expect_size=\"47591424\"] \n  33 -> 37 [size =\"47591424\"]\n  33 -> 38 [size =\"47591424\"]\n  33 -> 39 [size =\"47591424\"]\n  33 -> 40 [size =\"47591424\"]\n  33 -> 43 [size =\"47591424\"]\n  33 -> 46 [size =\"47591424\"]\n  33 -> 50 [size =\"47591424\"]\n  34 [size=\"24099840\", alpha=\"0.04\", expect_size=\"9639936\"] \n  34 -> 38 [size =\"9639936\"]\n  34 -> 41 [size =\"9639936\"]\n  34 -> 46 [size =\"9639936\"]\n  34 -> 47 [size =\"9639936\"]\n  34 -> 48 [size =\"9639936\"]\n  35 [size=\"19804160\", alpha=\"0.07\", expect_size=\"7921664\"] \n  35 -> 38 [size =\"7921664\"]\n  35 -> 41 [size =\"7921664\"]\n  35 -> 43 [size =\"7921664\"]\n  35 -> 45 [size =\"7921664\"]\n  35 -> 46 [size =\"7921664\"]\n  35 -> 47 [size =\"7921664\"]\n  36 [size=\"58004480\", alpha=\"0.08\", expect_size=\"23201792\"] \n  36 -> 38 [size =\"23201792\"]\n  36 -> 39 [size =\"23201792\"]\n  36 -> 41 [size =\"23201792\"]\n  36 -> 46 [size =\"23201792\"]\n  36 -> 49 [size =\"23201792\"]\n  36 -> 50 [size =\"23201792\"]\n  37 [size=\"14904320\", alpha=\"0.05\", expect_size=\"5961728\"] \n  38 [size=\"125242880\", alpha=\"0.18\", expect_size=\"50097152\"] \n  39 [size=\"121794560\", alpha=\"0.14\", expect_size=\"48717824\"] \n  40 [size=\"32458240\", alpha=\"0.03\", expect_size=\"12983296\"] \n  41 [size=\"116349440\", alpha=\"0.16\", expect_size=\"46539776\"] \n  42 [size=\"72878080\", alpha=\"0.16\", expect_size=\"29151232\"] \n  43 [size=\"40266240\", alpha=\"0.13\", expect_size=\"16106496\"] \n  44 [size=\"13521920\", alpha=\"0.11\", expect_size=\"5408768\"] \n  45 [size=\"35461120\", alpha=\"0.17\", expect_size=\"14184448\"] \n  46 [size=\"74411520\", alpha=\"0.09\", expect_size=\"29764608\"] \n  47 [size=\"119139840\", alpha=\"0.18\", expect_size=\"47655936\"] \n  48 [size=\"33541120\", alpha=\"0.18\", expect_size=\"13416448\"] \n  49 [size=\"21739520\", alpha=\"0.01\", expect_size=\"8695808\"] \n  50 [size=\"104176640\", alpha=\"0.16\", expect_size=\"41670656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.674.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101851136\", alpha=\"0.08\", expect_size=\"50925568\"] \n  1 -> 2 [size =\"50925568\"]\n  2 [size=\"33118208\", alpha=\"0.19\", expect_size=\"16559104\"] \n  2 -> 3 [size =\"16559104\"]\n  3 [size=\"21856256\", alpha=\"0.19\", expect_size=\"10928128\"] \n  3 -> 4 [size =\"10928128\"]\n  4 [size=\"37431296\", alpha=\"0.09\", expect_size=\"18715648\"] \n  4 -> 5 [size =\"18715648\"]\n  5 [size=\"69883904\", alpha=\"0.07\", expect_size=\"34941952\"] \n  5 -> 6 [size =\"34941952\"]\n  6 [size=\"45975552\", alpha=\"0.04\", expect_size=\"22987776\"] \n  6 -> 7 [size =\"22987776\"]\n  7 [size=\"17012736\", alpha=\"0.05\", expect_size=\"8506368\"] \n  7 -> 8 [size =\"8506368\"]\n  8 [size=\"24668160\", alpha=\"0.14\", expect_size=\"12334080\"] \n  8 -> 9 [size =\"12334080\"]\n  9 [size=\"76824576\", alpha=\"0.14\", expect_size=\"38412288\"] \n  9 -> 10 [size =\"38412288\"]\n  10 [size=\"31881216\", alpha=\"0.14\", expect_size=\"15940608\"] \n  10 -> 11 [size =\"15940608\"]\n  11 [size=\"28901376\", alpha=\"0.06\", expect_size=\"14450688\"] \n  11 -> 12 [size =\"14450688\"]\n  12 [size=\"65726464\", alpha=\"0.07\", expect_size=\"32863232\"] \n  12 -> 13 [size =\"32863232\"]\n  13 [size=\"62648320\", alpha=\"0.01\", expect_size=\"31324160\"] \n  13 -> 14 [size =\"31324160\"]\n  14 [size=\"59609088\", alpha=\"0.10\", expect_size=\"29804544\"] \n  14 -> 15 [size =\"29804544\"]\n  15 [size=\"102678528\", alpha=\"0.18\", expect_size=\"51339264\"] \n  15 -> 16 [size =\"51339264\"]\n  16 [size=\"43421696\", alpha=\"0.14\", expect_size=\"21710848\"] \n  16 -> 17 [size =\"21710848\"]\n  17 [size=\"61593600\", alpha=\"0.07\", expect_size=\"30796800\"] \n  17 -> 18 [size =\"30796800\"]\n  18 [size=\"84992000\", alpha=\"0.14\", expect_size=\"42496000\"] \n  18 -> 19 [size =\"42496000\"]\n  19 [size=\"55924736\", alpha=\"0.15\", expect_size=\"27962368\"] \n  19 -> 20 [size =\"27962368\"]\n  20 [size=\"27844608\", alpha=\"0.11\", expect_size=\"13922304\"] \n  20 -> 21 [size =\"13922304\"]\n  21 [size=\"92063744\", alpha=\"0.06\", expect_size=\"46031872\"] \n  21 -> 22 [size =\"46031872\"]\n  22 [size=\"24006656\", alpha=\"0.06\", expect_size=\"12003328\"] \n  22 -> 23 [size =\"12003328\"]\n  23 [size=\"55748608\", alpha=\"0.08\", expect_size=\"27874304\"] \n  23 -> 24 [size =\"27874304\"]\n  24 [size=\"58386432\", alpha=\"0.16\", expect_size=\"29193216\"] \n  24 -> 25 [size =\"29193216\"]\n  25 [size=\"12785664\", alpha=\"0.17\", expect_size=\"6392832\"] \n  25 -> 26 [size =\"6392832\"]\n  26 [size=\"95676416\", alpha=\"0.05\", expect_size=\"47838208\"] \n  26 -> 27 [size =\"47838208\"]\n  27 [size=\"66736128\", alpha=\"0.14\", expect_size=\"33368064\"] \n  27 -> 28 [size =\"33368064\"]\n  28 [size=\"97816576\", alpha=\"0.07\", expect_size=\"48908288\"] \n  28 -> 29 [size =\"48908288\"]\n  29 [size=\"69558272\", alpha=\"0.13\", expect_size=\"34779136\"] \n  29 -> 30 [size =\"34779136\"]\n  30 [size=\"47622144\", alpha=\"0.05\", expect_size=\"23811072\"] \n  30 -> 31 [size =\"23811072\"]\n  31 [size=\"99827712\", alpha=\"0.20\", expect_size=\"49913856\"] \n  31 -> 32 [size =\"49913856\"]\n  32 [size=\"34420736\", alpha=\"0.06\", expect_size=\"17210368\"] \n  32 -> 33 [size =\"17210368\"]\n  33 [size=\"62779392\", alpha=\"0.04\", expect_size=\"31389696\"] \n  33 -> 34 [size =\"31389696\"]\n  34 [size=\"101902336\", alpha=\"0.12\", expect_size=\"50951168\"] \n  34 -> 35 [size =\"50951168\"]\n  35 [size=\"84369408\", alpha=\"0.20\", expect_size=\"42184704\"] \n  35 -> 36 [size =\"42184704\"]\n  36 [size=\"69576704\", alpha=\"0.15\", expect_size=\"34788352\"] \n  36 -> 37 [size =\"34788352\"]\n  37 [size=\"93014016\", alpha=\"0.00\", expect_size=\"46507008\"] \n  37 -> 38 [size =\"46507008\"]\n  38 [size=\"66840576\", alpha=\"0.01\", expect_size=\"33420288\"] \n  38 -> 39 [size =\"33420288\"]\n  39 [size=\"99610624\", alpha=\"0.12\", expect_size=\"49805312\"] \n  39 -> 40 [size =\"49805312\"]\n  40 [size=\"68917248\", alpha=\"0.07\", expect_size=\"34458624\"] \n  40 -> 41 [size =\"34458624\"]\n  41 [size=\"90531840\", alpha=\"0.19\", expect_size=\"45265920\"] \n  41 -> 42 [size =\"45265920\"]\n  42 [size=\"88496128\", alpha=\"0.14\", expect_size=\"44248064\"] \n  42 -> 43 [size =\"44248064\"]\n  43 [size=\"23681024\", alpha=\"0.18\", expect_size=\"11840512\"] \n  43 -> 44 [size =\"11840512\"]\n  44 [size=\"42620928\", alpha=\"0.12\", expect_size=\"21310464\"] \n  44 -> 45 [size =\"21310464\"]\n  45 [size=\"100067328\", alpha=\"0.07\", expect_size=\"50033664\"] \n  45 -> 46 [size =\"50033664\"]\n  46 [size=\"99471360\", alpha=\"0.00\", expect_size=\"49735680\"] \n  46 -> 47 [size =\"49735680\"]\n  47 [size=\"73768960\", alpha=\"0.05\", expect_size=\"36884480\"] \n  47 -> 48 [size =\"36884480\"]\n  48 [size=\"74070016\", alpha=\"0.09\", expect_size=\"37035008\"] \n  48 -> 49 [size =\"37035008\"]\n  49 [size=\"80513024\", alpha=\"0.05\", expect_size=\"40256512\"] \n  49 -> 50 [size =\"40256512\"]\n  50 [size=\"44158976\", alpha=\"0.09\", expect_size=\"22079488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.675.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:57 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107489280\", alpha=\"0.00\", expect_size=\"32246784\"] \n  1 -> 4 [size =\"32246784\"]\n  2 [size=\"50107733\", alpha=\"0.06\", expect_size=\"15032320\"] \n  2 -> 4 [size =\"15032320\"]\n  3 [size=\"83316053\", alpha=\"0.05\", expect_size=\"24994816\"] \n  3 -> 5 [size =\"24994816\"]\n  4 [size=\"50752853\", alpha=\"0.02\", expect_size=\"15225856\"] \n  4 -> 6 [size =\"15225856\"]\n  4 -> 7 [size =\"15225856\"]\n  4 -> 8 [size =\"15225856\"]\n  5 [size=\"60218027\", alpha=\"0.18\", expect_size=\"18065408\"] \n  6 [size=\"169144320\", alpha=\"0.01\", expect_size=\"50743296\"] \n  6 -> 9 [size =\"50743296\"]\n  6 -> 11 [size =\"50743296\"]\n  7 [size=\"113588907\", alpha=\"0.09\", expect_size=\"34076672\"] \n  7 -> 9 [size =\"34076672\"]\n  7 -> 11 [size =\"34076672\"]\n  8 [size=\"32098987\", alpha=\"0.17\", expect_size=\"9629696\"] \n  8 -> 9 [size =\"9629696\"]\n  8 -> 10 [size =\"9629696\"]\n  9 [size=\"155446613\", alpha=\"0.12\", expect_size=\"46633984\"] \n  9 -> 13 [size =\"46633984\"]\n  10 [size=\"18298880\", alpha=\"0.14\", expect_size=\"5489664\"] \n  10 -> 14 [size =\"5489664\"]\n  11 [size=\"134577493\", alpha=\"0.09\", expect_size=\"40373248\"] \n  11 -> 12 [size =\"40373248\"]\n  11 -> 13 [size =\"40373248\"]\n  11 -> 14 [size =\"40373248\"]\n  12 [size=\"136287573\", alpha=\"0.09\", expect_size=\"40886272\"] \n  13 [size=\"23528107\", alpha=\"0.13\", expect_size=\"7058432\"] \n  13 -> 15 [size =\"7058432\"]\n  14 [size=\"63136427\", alpha=\"0.17\", expect_size=\"18940928\"] \n  14 -> 16 [size =\"18940928\"]\n  14 -> 17 [size =\"18940928\"]\n  15 [size=\"76769280\", alpha=\"0.16\", expect_size=\"23030784\"] \n  15 -> 18 [size =\"23030784\"]\n  16 [size=\"63692800\", alpha=\"0.10\", expect_size=\"19107840\"] \n  16 -> 18 [size =\"19107840\"]\n  16 -> 19 [size =\"19107840\"]\n  17 [size=\"69584213\", alpha=\"0.06\", expect_size=\"20875264\"] \n  17 -> 18 [size =\"20875264\"]\n  17 -> 19 [size =\"20875264\"]\n  18 [size=\"139246933\", alpha=\"0.19\", expect_size=\"41774080\"] \n  18 -> 22 [size =\"41774080\"]\n  19 [size=\"113059840\", alpha=\"0.03\", expect_size=\"33917952\"] \n  19 -> 20 [size =\"33917952\"]\n  19 -> 21 [size =\"33917952\"]\n  19 -> 22 [size =\"33917952\"]\n  20 [size=\"46308693\", alpha=\"0.17\", expect_size=\"13892608\"] \n  20 -> 23 [size =\"13892608\"]\n  21 [size=\"155706027\", alpha=\"0.04\", expect_size=\"46711808\"] \n  21 -> 24 [size =\"46711808\"]\n  22 [size=\"71038293\", alpha=\"0.14\", expect_size=\"21311488\"] \n  23 [size=\"140100267\", alpha=\"0.13\", expect_size=\"42030080\"] \n  23 -> 26 [size =\"42030080\"]\n  24 [size=\"83391147\", alpha=\"0.16\", expect_size=\"25017344\"] \n  24 -> 25 [size =\"25017344\"]\n  24 -> 26 [size =\"25017344\"]\n  25 [size=\"60757333\", alpha=\"0.05\", expect_size=\"18227200\"] \n  25 -> 28 [size =\"18227200\"]\n  26 [size=\"32689493\", alpha=\"0.13\", expect_size=\"9806848\"] \n  26 -> 27 [size =\"9806848\"]\n  26 -> 28 [size =\"9806848\"]\n  27 [size=\"115053227\", alpha=\"0.13\", expect_size=\"34515968\"] \n  27 -> 29 [size =\"34515968\"]\n  27 -> 30 [size =\"34515968\"]\n  27 -> 31 [size =\"34515968\"]\n  28 [size=\"162553173\", alpha=\"0.15\", expect_size=\"48765952\"] \n  28 -> 29 [size =\"48765952\"]\n  28 -> 30 [size =\"48765952\"]\n  28 -> 31 [size =\"48765952\"]\n  29 [size=\"154781013\", alpha=\"0.14\", expect_size=\"46434304\"] \n  29 -> 32 [size =\"46434304\"]\n  29 -> 33 [size =\"46434304\"]\n  30 [size=\"17541120\", alpha=\"0.14\", expect_size=\"5262336\"] \n  30 -> 32 [size =\"5262336\"]\n  31 [size=\"154740053\", alpha=\"0.08\", expect_size=\"46422016\"] \n  31 -> 33 [size =\"46422016\"]\n  32 [size=\"27248640\", alpha=\"0.17\", expect_size=\"8174592\"] \n  32 -> 34 [size =\"8174592\"]\n  32 -> 35 [size =\"8174592\"]\n  32 -> 36 [size =\"8174592\"]\n  33 [size=\"139560960\", alpha=\"0.08\", expect_size=\"41868288\"] \n  33 -> 34 [size =\"41868288\"]\n  33 -> 36 [size =\"41868288\"]\n  34 [size=\"85654187\", alpha=\"0.04\", expect_size=\"25696256\"] \n  34 -> 37 [size =\"25696256\"]\n  34 -> 38 [size =\"25696256\"]\n  34 -> 39 [size =\"25696256\"]\n  35 [size=\"56091307\", alpha=\"0.08\", expect_size=\"16827392\"] \n  35 -> 37 [size =\"16827392\"]\n  35 -> 38 [size =\"16827392\"]\n  35 -> 39 [size =\"16827392\"]\n  36 [size=\"93624320\", alpha=\"0.17\", expect_size=\"28087296\"] \n  36 -> 38 [size =\"28087296\"]\n  36 -> 39 [size =\"28087296\"]\n  37 [size=\"35345067\", alpha=\"0.13\", expect_size=\"10603520\"] \n  37 -> 40 [size =\"10603520\"]\n  37 -> 42 [size =\"10603520\"]\n  38 [size=\"134659413\", alpha=\"0.05\", expect_size=\"40397824\"] \n  38 -> 41 [size =\"40397824\"]\n  38 -> 42 [size =\"40397824\"]\n  39 [size=\"91613867\", alpha=\"0.09\", expect_size=\"27484160\"] \n  40 [size=\"44182187\", alpha=\"0.16\", expect_size=\"13254656\"] \n  40 -> 43 [size =\"13254656\"]\n  41 [size=\"150476800\", alpha=\"0.01\", expect_size=\"45143040\"] \n  41 -> 43 [size =\"45143040\"]\n  41 -> 44 [size =\"45143040\"]\n  42 [size=\"55739733\", alpha=\"0.13\", expect_size=\"16721920\"] \n  42 -> 43 [size =\"16721920\"]\n  43 [size=\"36068693\", alpha=\"0.01\", expect_size=\"10820608\"] \n  43 -> 45 [size =\"10820608\"]\n  43 -> 46 [size =\"10820608\"]\n  43 -> 47 [size =\"10820608\"]\n  44 [size=\"97515520\", alpha=\"0.16\", expect_size=\"29254656\"] \n  44 -> 45 [size =\"29254656\"]\n  44 -> 46 [size =\"29254656\"]\n  45 [size=\"128460800\", alpha=\"0.18\", expect_size=\"38538240\"] \n  46 [size=\"30911147\", alpha=\"0.01\", expect_size=\"9273344\"] \n  46 -> 48 [size =\"9273344\"]\n  47 [size=\"165655893\", alpha=\"0.17\", expect_size=\"49696768\"] \n  47 -> 48 [size =\"49696768\"]\n  47 -> 49 [size =\"49696768\"]\n  48 [size=\"112947200\", alpha=\"0.11\", expect_size=\"33884160\"] \n  48 -> 50 [size =\"33884160\"]\n  49 [size=\"151842133\", alpha=\"0.02\", expect_size=\"45552640\"] \n  49 -> 50 [size =\"45552640\"]\n  50 [size=\"63354880\", alpha=\"0.14\", expect_size=\"19006464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.676.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97136640\", alpha=\"0.13\", expect_size=\"38854656\"] \n  1 -> 4 [size =\"38854656\"]\n  1 -> 5 [size =\"38854656\"]\n  1 -> 6 [size =\"38854656\"]\n  2 [size=\"84459520\", alpha=\"0.03\", expect_size=\"33783808\"] \n  2 -> 4 [size =\"33783808\"]\n  2 -> 6 [size =\"33783808\"]\n  3 [size=\"37196800\", alpha=\"0.05\", expect_size=\"14878720\"] \n  3 -> 4 [size =\"14878720\"]\n  3 -> 5 [size =\"14878720\"]\n  3 -> 6 [size =\"14878720\"]\n  4 [size=\"73239040\", alpha=\"0.01\", expect_size=\"29295616\"] \n  4 -> 7 [size =\"29295616\"]\n  4 -> 8 [size =\"29295616\"]\n  5 [size=\"62213120\", alpha=\"0.04\", expect_size=\"24885248\"] \n  5 -> 7 [size =\"24885248\"]\n  5 -> 8 [size =\"24885248\"]\n  6 [size=\"37007360\", alpha=\"0.02\", expect_size=\"14802944\"] \n  6 -> 7 [size =\"14802944\"]\n  6 -> 8 [size =\"14802944\"]\n  7 [size=\"119421440\", alpha=\"0.01\", expect_size=\"47768576\"] \n  7 -> 10 [size =\"47768576\"]\n  7 -> 11 [size =\"47768576\"]\n  8 [size=\"19550720\", alpha=\"0.18\", expect_size=\"7820288\"] \n  8 -> 9 [size =\"7820288\"]\n  8 -> 10 [size =\"7820288\"]\n  8 -> 11 [size =\"7820288\"]\n  9 [size=\"29831680\", alpha=\"0.18\", expect_size=\"11932672\"] \n  9 -> 12 [size =\"11932672\"]\n  9 -> 13 [size =\"11932672\"]\n  10 [size=\"102028800\", alpha=\"0.05\", expect_size=\"40811520\"] \n  10 -> 12 [size =\"40811520\"]\n  10 -> 13 [size =\"40811520\"]\n  11 [size=\"65308160\", alpha=\"0.01\", expect_size=\"26123264\"] \n  11 -> 12 [size =\"26123264\"]\n  11 -> 13 [size =\"26123264\"]\n  12 [size=\"25871360\", alpha=\"0.17\", expect_size=\"10348544\"] \n  12 -> 14 [size =\"10348544\"]\n  12 -> 15 [size =\"10348544\"]\n  12 -> 16 [size =\"10348544\"]\n  13 [size=\"43581440\", alpha=\"0.17\", expect_size=\"17432576\"] \n  13 -> 14 [size =\"17432576\"]\n  13 -> 16 [size =\"17432576\"]\n  14 [size=\"75097600\", alpha=\"0.20\", expect_size=\"30039040\"] \n  14 -> 17 [size =\"30039040\"]\n  14 -> 18 [size =\"30039040\"]\n  14 -> 19 [size =\"30039040\"]\n  15 [size=\"79889920\", alpha=\"0.18\", expect_size=\"31955968\"] \n  15 -> 17 [size =\"31955968\"]\n  15 -> 19 [size =\"31955968\"]\n  16 [size=\"102515200\", alpha=\"0.06\", expect_size=\"41006080\"] \n  16 -> 17 [size =\"41006080\"]\n  16 -> 18 [size =\"41006080\"]\n  16 -> 19 [size =\"41006080\"]\n  17 [size=\"112455680\", alpha=\"0.05\", expect_size=\"44982272\"] \n  17 -> 21 [size =\"44982272\"]\n  17 -> 22 [size =\"44982272\"]\n  18 [size=\"120581120\", alpha=\"0.13\", expect_size=\"48232448\"] \n  18 -> 21 [size =\"48232448\"]\n  18 -> 22 [size =\"48232448\"]\n  19 [size=\"110561280\", alpha=\"0.01\", expect_size=\"44224512\"] \n  19 -> 20 [size =\"44224512\"]\n  19 -> 21 [size =\"44224512\"]\n  19 -> 22 [size =\"44224512\"]\n  20 [size=\"99522560\", alpha=\"0.11\", expect_size=\"39809024\"] \n  20 -> 23 [size =\"39809024\"]\n  20 -> 24 [size =\"39809024\"]\n  20 -> 25 [size =\"39809024\"]\n  21 [size=\"129395200\", alpha=\"0.16\", expect_size=\"51758080\"] \n  21 -> 23 [size =\"51758080\"]\n  21 -> 24 [size =\"51758080\"]\n  21 -> 25 [size =\"51758080\"]\n  22 [size=\"14484480\", alpha=\"0.13\", expect_size=\"5793792\"] \n  22 -> 23 [size =\"5793792\"]\n  22 -> 24 [size =\"5793792\"]\n  22 -> 25 [size =\"5793792\"]\n  23 [size=\"112017920\", alpha=\"0.14\", expect_size=\"44807168\"] \n  23 -> 26 [size =\"44807168\"]\n  23 -> 27 [size =\"44807168\"]\n  24 [size=\"94448640\", alpha=\"0.05\", expect_size=\"37779456\"] \n  24 -> 27 [size =\"37779456\"]\n  25 [size=\"91630080\", alpha=\"0.05\", expect_size=\"36652032\"] \n  25 -> 26 [size =\"36652032\"]\n  25 -> 27 [size =\"36652032\"]\n  26 [size=\"79298560\", alpha=\"0.08\", expect_size=\"31719424\"] \n  26 -> 28 [size =\"31719424\"]\n  26 -> 29 [size =\"31719424\"]\n  27 [size=\"115100160\", alpha=\"0.10\", expect_size=\"46040064\"] \n  27 -> 29 [size =\"46040064\"]\n  27 -> 30 [size =\"46040064\"]\n  28 [size=\"25031680\", alpha=\"0.12\", expect_size=\"10012672\"] \n  28 -> 31 [size =\"10012672\"]\n  28 -> 32 [size =\"10012672\"]\n  29 [size=\"104273920\", alpha=\"0.18\", expect_size=\"41709568\"] \n  29 -> 31 [size =\"41709568\"]\n  29 -> 32 [size =\"41709568\"]\n  29 -> 33 [size =\"41709568\"]\n  30 [size=\"108669440\", alpha=\"0.19\", expect_size=\"43467776\"] \n  30 -> 31 [size =\"43467776\"]\n  31 [size=\"57338880\", alpha=\"0.08\", expect_size=\"22935552\"] \n  31 -> 35 [size =\"22935552\"]\n  32 [size=\"34314240\", alpha=\"0.20\", expect_size=\"13725696\"] \n  32 -> 34 [size =\"13725696\"]\n  32 -> 35 [size =\"13725696\"]\n  33 [size=\"110945280\", alpha=\"0.16\", expect_size=\"44378112\"] \n  33 -> 34 [size =\"44378112\"]\n  33 -> 35 [size =\"44378112\"]\n  34 [size=\"75394560\", alpha=\"0.04\", expect_size=\"30157824\"] \n  34 -> 37 [size =\"30157824\"]\n  34 -> 38 [size =\"30157824\"]\n  35 [size=\"105761280\", alpha=\"0.02\", expect_size=\"42304512\"] \n  35 -> 36 [size =\"42304512\"]\n  35 -> 37 [size =\"42304512\"]\n  35 -> 38 [size =\"42304512\"]\n  36 [size=\"15219200\", alpha=\"0.16\", expect_size=\"6087680\"] \n  36 -> 39 [size =\"6087680\"]\n  36 -> 41 [size =\"6087680\"]\n  37 [size=\"63603200\", alpha=\"0.07\", expect_size=\"25441280\"] \n  37 -> 39 [size =\"25441280\"]\n  37 -> 40 [size =\"25441280\"]\n  37 -> 41 [size =\"25441280\"]\n  38 [size=\"121300480\", alpha=\"0.15\", expect_size=\"48520192\"] \n  38 -> 39 [size =\"48520192\"]\n  39 [size=\"76784640\", alpha=\"0.01\", expect_size=\"30713856\"] \n  39 -> 42 [size =\"30713856\"]\n  39 -> 43 [size =\"30713856\"]\n  39 -> 44 [size =\"30713856\"]\n  40 [size=\"64752640\", alpha=\"0.01\", expect_size=\"25901056\"] \n  40 -> 42 [size =\"25901056\"]\n  40 -> 43 [size =\"25901056\"]\n  40 -> 44 [size =\"25901056\"]\n  41 [size=\"56156160\", alpha=\"0.00\", expect_size=\"22462464\"] \n  41 -> 43 [size =\"22462464\"]\n  41 -> 44 [size =\"22462464\"]\n  42 [size=\"103203840\", alpha=\"0.00\", expect_size=\"41281536\"] \n  43 [size=\"100689920\", alpha=\"0.17\", expect_size=\"40275968\"] \n  44 [size=\"79096320\", alpha=\"0.08\", expect_size=\"31638528\"] \n  44 -> 45 [size =\"31638528\"]\n  44 -> 46 [size =\"31638528\"]\n  45 [size=\"100410880\", alpha=\"0.11\", expect_size=\"40164352\"] \n  45 -> 48 [size =\"40164352\"]\n  46 [size=\"113454080\", alpha=\"0.06\", expect_size=\"45381632\"] \n  46 -> 47 [size =\"45381632\"]\n  46 -> 48 [size =\"45381632\"]\n  47 [size=\"89669120\", alpha=\"0.19\", expect_size=\"35867648\"] \n  47 -> 49 [size =\"35867648\"]\n  48 [size=\"128404480\", alpha=\"0.13\", expect_size=\"51361792\"] \n  48 -> 49 [size =\"51361792\"]\n  48 -> 50 [size =\"51361792\"]\n  49 [size=\"101204480\", alpha=\"0.03\", expect_size=\"40481792\"] \n  50 [size=\"105525760\", alpha=\"0.09\", expect_size=\"42210304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.677.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102705152\", alpha=\"0.15\", expect_size=\"51352576\"] \n  1 -> 2 [size =\"51352576\"]\n  2 [size=\"56942592\", alpha=\"0.08\", expect_size=\"28471296\"] \n  2 -> 3 [size =\"28471296\"]\n  3 [size=\"72822784\", alpha=\"0.11\", expect_size=\"36411392\"] \n  3 -> 4 [size =\"36411392\"]\n  4 [size=\"44625920\", alpha=\"0.16\", expect_size=\"22312960\"] \n  4 -> 5 [size =\"22312960\"]\n  5 [size=\"75339776\", alpha=\"0.07\", expect_size=\"37669888\"] \n  5 -> 6 [size =\"37669888\"]\n  6 [size=\"99217408\", alpha=\"0.14\", expect_size=\"49608704\"] \n  6 -> 7 [size =\"49608704\"]\n  7 [size=\"68515840\", alpha=\"0.13\", expect_size=\"34257920\"] \n  7 -> 8 [size =\"34257920\"]\n  8 [size=\"68364288\", alpha=\"0.16\", expect_size=\"34182144\"] \n  8 -> 9 [size =\"34182144\"]\n  9 [size=\"57901056\", alpha=\"0.18\", expect_size=\"28950528\"] \n  9 -> 10 [size =\"28950528\"]\n  10 [size=\"97658880\", alpha=\"0.17\", expect_size=\"48829440\"] \n  10 -> 11 [size =\"48829440\"]\n  11 [size=\"50208768\", alpha=\"0.05\", expect_size=\"25104384\"] \n  11 -> 12 [size =\"25104384\"]\n  12 [size=\"28692480\", alpha=\"0.04\", expect_size=\"14346240\"] \n  12 -> 13 [size =\"14346240\"]\n  13 [size=\"64712704\", alpha=\"0.01\", expect_size=\"32356352\"] \n  13 -> 14 [size =\"32356352\"]\n  14 [size=\"21293056\", alpha=\"0.14\", expect_size=\"10646528\"] \n  14 -> 15 [size =\"10646528\"]\n  15 [size=\"97937408\", alpha=\"0.04\", expect_size=\"48968704\"] \n  15 -> 16 [size =\"48968704\"]\n  16 [size=\"35680256\", alpha=\"0.19\", expect_size=\"17840128\"] \n  16 -> 17 [size =\"17840128\"]\n  17 [size=\"101916672\", alpha=\"0.11\", expect_size=\"50958336\"] \n  17 -> 18 [size =\"50958336\"]\n  18 [size=\"69668864\", alpha=\"0.20\", expect_size=\"34834432\"] \n  18 -> 19 [size =\"34834432\"]\n  19 [size=\"49276928\", alpha=\"0.17\", expect_size=\"24638464\"] \n  19 -> 20 [size =\"24638464\"]\n  20 [size=\"38277120\", alpha=\"0.13\", expect_size=\"19138560\"] \n  20 -> 21 [size =\"19138560\"]\n  21 [size=\"24842240\", alpha=\"0.09\", expect_size=\"12421120\"] \n  21 -> 22 [size =\"12421120\"]\n  22 [size=\"48316416\", alpha=\"0.15\", expect_size=\"24158208\"] \n  22 -> 23 [size =\"24158208\"]\n  23 [size=\"65576960\", alpha=\"0.13\", expect_size=\"32788480\"] \n  23 -> 24 [size =\"32788480\"]\n  24 [size=\"71342080\", alpha=\"0.19\", expect_size=\"35671040\"] \n  24 -> 25 [size =\"35671040\"]\n  25 [size=\"42371072\", alpha=\"0.19\", expect_size=\"21185536\"] \n  25 -> 26 [size =\"21185536\"]\n  26 [size=\"61243392\", alpha=\"0.18\", expect_size=\"30621696\"] \n  26 -> 27 [size =\"30621696\"]\n  27 [size=\"55568384\", alpha=\"0.09\", expect_size=\"27784192\"] \n  27 -> 28 [size =\"27784192\"]\n  28 [size=\"11145216\", alpha=\"0.12\", expect_size=\"5572608\"] \n  28 -> 29 [size =\"5572608\"]\n  29 [size=\"104704000\", alpha=\"0.05\", expect_size=\"52352000\"] \n  29 -> 30 [size =\"52352000\"]\n  30 [size=\"91721728\", alpha=\"0.17\", expect_size=\"45860864\"] \n  30 -> 31 [size =\"45860864\"]\n  31 [size=\"60663808\", alpha=\"0.17\", expect_size=\"30331904\"] \n  31 -> 32 [size =\"30331904\"]\n  32 [size=\"103747584\", alpha=\"0.01\", expect_size=\"51873792\"] \n  32 -> 33 [size =\"51873792\"]\n  33 [size=\"78690304\", alpha=\"0.16\", expect_size=\"39345152\"] \n  33 -> 34 [size =\"39345152\"]\n  34 [size=\"47828992\", alpha=\"0.14\", expect_size=\"23914496\"] \n  34 -> 35 [size =\"23914496\"]\n  35 [size=\"45303808\", alpha=\"0.10\", expect_size=\"22651904\"] \n  35 -> 36 [size =\"22651904\"]\n  36 [size=\"41601024\", alpha=\"0.11\", expect_size=\"20800512\"] \n  36 -> 37 [size =\"20800512\"]\n  37 [size=\"31078400\", alpha=\"0.12\", expect_size=\"15539200\"] \n  37 -> 38 [size =\"15539200\"]\n  38 [size=\"71768064\", alpha=\"0.06\", expect_size=\"35884032\"] \n  38 -> 39 [size =\"35884032\"]\n  39 [size=\"32804864\", alpha=\"0.08\", expect_size=\"16402432\"] \n  39 -> 40 [size =\"16402432\"]\n  40 [size=\"55977984\", alpha=\"0.15\", expect_size=\"27988992\"] \n  40 -> 41 [size =\"27988992\"]\n  41 [size=\"39720960\", alpha=\"0.06\", expect_size=\"19860480\"] \n  41 -> 42 [size =\"19860480\"]\n  42 [size=\"23752704\", alpha=\"0.05\", expect_size=\"11876352\"] \n  42 -> 43 [size =\"11876352\"]\n  43 [size=\"26284032\", alpha=\"0.15\", expect_size=\"13142016\"] \n  43 -> 44 [size =\"13142016\"]\n  44 [size=\"101543936\", alpha=\"0.18\", expect_size=\"50771968\"] \n  44 -> 45 [size =\"50771968\"]\n  45 [size=\"71593984\", alpha=\"0.08\", expect_size=\"35796992\"] \n  45 -> 46 [size =\"35796992\"]\n  46 [size=\"23889920\", alpha=\"0.09\", expect_size=\"11944960\"] \n  46 -> 47 [size =\"11944960\"]\n  47 [size=\"77998080\", alpha=\"0.19\", expect_size=\"38999040\"] \n  47 -> 48 [size =\"38999040\"]\n  48 [size=\"42235904\", alpha=\"0.10\", expect_size=\"21117952\"] \n  48 -> 49 [size =\"21117952\"]\n  49 [size=\"70158336\", alpha=\"0.00\", expect_size=\"35079168\"] \n  49 -> 50 [size =\"35079168\"]\n  50 [size=\"11812864\", alpha=\"0.08\", expect_size=\"5906432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.678.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108714667\", alpha=\"0.09\", expect_size=\"32614400\"] \n  2 [size=\"65713493\", alpha=\"0.13\", expect_size=\"19714048\"] \n  2 -> 4 [size =\"19714048\"]\n  3 [size=\"157204480\", alpha=\"0.08\", expect_size=\"47161344\"] \n  3 -> 4 [size =\"47161344\"]\n  3 -> 5 [size =\"47161344\"]\n  4 [size=\"160580267\", alpha=\"0.05\", expect_size=\"48174080\"] \n  4 -> 6 [size =\"48174080\"]\n  4 -> 7 [size =\"48174080\"]\n  5 [size=\"74315093\", alpha=\"0.06\", expect_size=\"22294528\"] \n  5 -> 7 [size =\"22294528\"]\n  6 [size=\"110557867\", alpha=\"0.09\", expect_size=\"33167360\"] \n  7 [size=\"65174187\", alpha=\"0.09\", expect_size=\"19552256\"] \n  7 -> 8 [size =\"19552256\"]\n  7 -> 9 [size =\"19552256\"]\n  8 [size=\"151285760\", alpha=\"0.03\", expect_size=\"45385728\"] \n  8 -> 11 [size =\"45385728\"]\n  9 [size=\"174202880\", alpha=\"0.02\", expect_size=\"52260864\"] \n  9 -> 10 [size =\"52260864\"]\n  10 [size=\"158177280\", alpha=\"0.02\", expect_size=\"47453184\"] \n  10 -> 12 [size =\"47453184\"]\n  10 -> 13 [size =\"47453184\"]\n  10 -> 14 [size =\"47453184\"]\n  11 [size=\"137840640\", alpha=\"0.20\", expect_size=\"41352192\"] \n  11 -> 12 [size =\"41352192\"]\n  12 [size=\"48005120\", alpha=\"0.01\", expect_size=\"14401536\"] \n  12 -> 15 [size =\"14401536\"]\n  12 -> 16 [size =\"14401536\"]\n  13 [size=\"148063573\", alpha=\"0.03\", expect_size=\"44419072\"] \n  14 [size=\"53210453\", alpha=\"0.13\", expect_size=\"15963136\"] \n  15 [size=\"90920960\", alpha=\"0.11\", expect_size=\"27276288\"] \n  15 -> 17 [size =\"27276288\"]\n  15 -> 19 [size =\"27276288\"]\n  16 [size=\"139659947\", alpha=\"0.05\", expect_size=\"41897984\"] \n  16 -> 18 [size =\"41897984\"]\n  16 -> 19 [size =\"41897984\"]\n  17 [size=\"54217387\", alpha=\"0.03\", expect_size=\"16265216\"] \n  17 -> 20 [size =\"16265216\"]\n  17 -> 21 [size =\"16265216\"]\n  18 [size=\"125620907\", alpha=\"0.01\", expect_size=\"37686272\"] \n  18 -> 20 [size =\"37686272\"]\n  18 -> 21 [size =\"37686272\"]\n  19 [size=\"149657600\", alpha=\"0.08\", expect_size=\"44897280\"] \n  19 -> 20 [size =\"44897280\"]\n  19 -> 21 [size =\"44897280\"]\n  20 [size=\"167198720\", alpha=\"0.14\", expect_size=\"50159616\"] \n  20 -> 23 [size =\"50159616\"]\n  21 [size=\"23026347\", alpha=\"0.11\", expect_size=\"6907904\"] \n  21 -> 22 [size =\"6907904\"]\n  21 -> 23 [size =\"6907904\"]\n  21 -> 24 [size =\"6907904\"]\n  22 [size=\"19732480\", alpha=\"0.15\", expect_size=\"5919744\"] \n  22 -> 26 [size =\"5919744\"]\n  22 -> 27 [size =\"5919744\"]\n  23 [size=\"29784747\", alpha=\"0.16\", expect_size=\"8935424\"] \n  23 -> 26 [size =\"8935424\"]\n  24 [size=\"50776747\", alpha=\"0.16\", expect_size=\"15233024\"] \n  24 -> 25 [size =\"15233024\"]\n  25 [size=\"155139413\", alpha=\"0.02\", expect_size=\"46541824\"] \n  26 [size=\"86121813\", alpha=\"0.01\", expect_size=\"25836544\"] \n  26 -> 28 [size =\"25836544\"]\n  26 -> 29 [size =\"25836544\"]\n  27 [size=\"124160000\", alpha=\"0.06\", expect_size=\"37248000\"] \n  28 [size=\"145827840\", alpha=\"0.07\", expect_size=\"43748352\"] \n  28 -> 30 [size =\"43748352\"]\n  28 -> 32 [size =\"43748352\"]\n  29 [size=\"151804587\", alpha=\"0.09\", expect_size=\"45541376\"] \n  29 -> 31 [size =\"45541376\"]\n  30 [size=\"58798080\", alpha=\"0.08\", expect_size=\"17639424\"] \n  30 -> 34 [size =\"17639424\"]\n  31 [size=\"168639147\", alpha=\"0.03\", expect_size=\"50591744\"] \n  31 -> 33 [size =\"50591744\"]\n  32 [size=\"100710400\", alpha=\"0.02\", expect_size=\"30213120\"] \n  32 -> 33 [size =\"30213120\"]\n  32 -> 34 [size =\"30213120\"]\n  33 [size=\"60538880\", alpha=\"0.17\", expect_size=\"18161664\"] \n  33 -> 36 [size =\"18161664\"]\n  34 [size=\"30566400\", alpha=\"0.17\", expect_size=\"9169920\"] \n  34 -> 35 [size =\"9169920\"]\n  34 -> 36 [size =\"9169920\"]\n  35 [size=\"153900373\", alpha=\"0.06\", expect_size=\"46170112\"] \n  35 -> 38 [size =\"46170112\"]\n  35 -> 39 [size =\"46170112\"]\n  36 [size=\"172806827\", alpha=\"0.11\", expect_size=\"51842048\"] \n  36 -> 37 [size =\"51842048\"]\n  36 -> 38 [size =\"51842048\"]\n  36 -> 39 [size =\"51842048\"]\n  37 [size=\"23080960\", alpha=\"0.20\", expect_size=\"6924288\"] \n  37 -> 42 [size =\"6924288\"]\n  38 [size=\"67000320\", alpha=\"0.03\", expect_size=\"20100096\"] \n  39 [size=\"123801600\", alpha=\"0.03\", expect_size=\"37140480\"] \n  39 -> 40 [size =\"37140480\"]\n  39 -> 41 [size =\"37140480\"]\n  40 [size=\"35638613\", alpha=\"0.02\", expect_size=\"10691584\"] \n  40 -> 44 [size =\"10691584\"]\n  40 -> 44 [size =\"10691584\"]\n  40 -> 45 [size =\"10691584\"]\n  41 [size=\"100498773\", alpha=\"0.01\", expect_size=\"30149632\"] \n  41 -> 43 [size =\"30149632\"]\n  41 -> 45 [size =\"30149632\"]\n  42 [size=\"124180480\", alpha=\"0.01\", expect_size=\"37254144\"] \n  42 -> 43 [size =\"37254144\"]\n  42 -> 44 [size =\"37254144\"]\n  43 [size=\"137209173\", alpha=\"0.03\", expect_size=\"41162752\"] \n  43 -> 47 [size =\"41162752\"]\n  44 [size=\"112889173\", alpha=\"0.09\", expect_size=\"33866752\"] \n  44 -> 46 [size =\"33866752\"]\n  44 -> 47 [size =\"33866752\"]\n  45 [size=\"86958080\", alpha=\"0.12\", expect_size=\"26087424\"] \n  45 -> 46 [size =\"26087424\"]\n  45 -> 48 [size =\"26087424\"]\n  46 [size=\"132864000\", alpha=\"0.04\", expect_size=\"39859200\"] \n  46 -> 50 [size =\"39859200\"]\n  47 [size=\"58214400\", alpha=\"0.09\", expect_size=\"17464320\"] \n  47 -> 49 [size =\"17464320\"]\n  47 -> 50 [size =\"17464320\"]\n  48 [size=\"57040213\", alpha=\"0.11\", expect_size=\"17112064\"] \n  48 -> 49 [size =\"17112064\"]\n  49 [size=\"80206507\", alpha=\"0.10\", expect_size=\"24061952\"] \n  50 [size=\"102604800\", alpha=\"0.14\", expect_size=\"30781440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.679.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65694720\", alpha=\"0.02\", expect_size=\"26277888\"] \n  1 -> 2 [size =\"26277888\"]\n  2 [size=\"45465600\", alpha=\"0.03\", expect_size=\"18186240\"] \n  2 -> 3 [size =\"18186240\"]\n  3 [size=\"55838720\", alpha=\"0.12\", expect_size=\"22335488\"] \n  3 -> 4 [size =\"22335488\"]\n  4 [size=\"123566080\", alpha=\"0.17\", expect_size=\"49426432\"] \n  4 -> 5 [size =\"49426432\"]\n  5 [size=\"21207040\", alpha=\"0.11\", expect_size=\"8482816\"] \n  5 -> 6 [size =\"8482816\"]\n  6 [size=\"61432320\", alpha=\"0.10\", expect_size=\"24572928\"] \n  6 -> 7 [size =\"24572928\"]\n  7 [size=\"85944320\", alpha=\"0.05\", expect_size=\"34377728\"] \n  7 -> 8 [size =\"34377728\"]\n  8 [size=\"129802240\", alpha=\"0.07\", expect_size=\"51920896\"] \n  8 -> 9 [size =\"51920896\"]\n  9 [size=\"114465280\", alpha=\"0.07\", expect_size=\"45786112\"] \n  9 -> 10 [size =\"45786112\"]\n  10 [size=\"84249600\", alpha=\"0.17\", expect_size=\"33699840\"] \n  10 -> 11 [size =\"33699840\"]\n  11 [size=\"36730880\", alpha=\"0.01\", expect_size=\"14692352\"] \n  11 -> 12 [size =\"14692352\"]\n  12 [size=\"47941120\", alpha=\"0.05\", expect_size=\"19176448\"] \n  12 -> 13 [size =\"19176448\"]\n  13 [size=\"63431680\", alpha=\"0.06\", expect_size=\"25372672\"] \n  13 -> 14 [size =\"25372672\"]\n  14 [size=\"14138880\", alpha=\"0.16\", expect_size=\"5655552\"] \n  14 -> 15 [size =\"5655552\"]\n  15 [size=\"112286720\", alpha=\"0.03\", expect_size=\"44914688\"] \n  15 -> 16 [size =\"44914688\"]\n  16 [size=\"59420160\", alpha=\"0.18\", expect_size=\"23768064\"] \n  16 -> 17 [size =\"23768064\"]\n  17 [size=\"117516800\", alpha=\"0.17\", expect_size=\"47006720\"] \n  17 -> 18 [size =\"47006720\"]\n  18 [size=\"29626880\", alpha=\"0.10\", expect_size=\"11850752\"] \n  18 -> 19 [size =\"11850752\"]\n  19 [size=\"69747200\", alpha=\"0.14\", expect_size=\"27898880\"] \n  19 -> 20 [size =\"27898880\"]\n  20 [size=\"113687040\", alpha=\"0.03\", expect_size=\"45474816\"] \n  20 -> 21 [size =\"45474816\"]\n  21 [size=\"95360000\", alpha=\"0.00\", expect_size=\"38144000\"] \n  21 -> 22 [size =\"38144000\"]\n  22 [size=\"99202560\", alpha=\"0.04\", expect_size=\"39681024\"] \n  22 -> 23 [size =\"39681024\"]\n  23 [size=\"129712640\", alpha=\"0.14\", expect_size=\"51885056\"] \n  23 -> 24 [size =\"51885056\"]\n  24 [size=\"44782080\", alpha=\"0.03\", expect_size=\"17912832\"] \n  24 -> 25 [size =\"17912832\"]\n  25 [size=\"24030720\", alpha=\"0.14\", expect_size=\"9612288\"] \n  25 -> 26 [size =\"9612288\"]\n  26 [size=\"43630080\", alpha=\"0.12\", expect_size=\"17452032\"] \n  26 -> 27 [size =\"17452032\"]\n  27 [size=\"32043520\", alpha=\"0.03\", expect_size=\"12817408\"] \n  27 -> 28 [size =\"12817408\"]\n  28 [size=\"129886720\", alpha=\"0.14\", expect_size=\"51954688\"] \n  28 -> 29 [size =\"51954688\"]\n  29 [size=\"72296960\", alpha=\"0.02\", expect_size=\"28918784\"] \n  29 -> 30 [size =\"28918784\"]\n  30 [size=\"36213760\", alpha=\"0.02\", expect_size=\"14485504\"] \n  30 -> 31 [size =\"14485504\"]\n  31 [size=\"51911680\", alpha=\"0.07\", expect_size=\"20764672\"] \n  31 -> 32 [size =\"20764672\"]\n  32 [size=\"54018560\", alpha=\"0.17\", expect_size=\"21607424\"] \n  32 -> 33 [size =\"21607424\"]\n  33 [size=\"74887680\", alpha=\"0.15\", expect_size=\"29955072\"] \n  33 -> 34 [size =\"29955072\"]\n  34 [size=\"39293440\", alpha=\"0.14\", expect_size=\"15717376\"] \n  34 -> 35 [size =\"15717376\"]\n  35 [size=\"57689600\", alpha=\"0.09\", expect_size=\"23075840\"] \n  35 -> 36 [size =\"23075840\"]\n  36 [size=\"20218880\", alpha=\"0.13\", expect_size=\"8087552\"] \n  36 -> 37 [size =\"8087552\"]\n  37 [size=\"93171200\", alpha=\"0.14\", expect_size=\"37268480\"] \n  37 -> 38 [size =\"37268480\"]\n  38 [size=\"113456640\", alpha=\"0.18\", expect_size=\"45382656\"] \n  38 -> 39 [size =\"45382656\"]\n  39 [size=\"79802880\", alpha=\"0.11\", expect_size=\"31921152\"] \n  39 -> 40 [size =\"31921152\"]\n  40 [size=\"93573120\", alpha=\"0.02\", expect_size=\"37429248\"] \n  40 -> 41 [size =\"37429248\"]\n  41 [size=\"107947520\", alpha=\"0.06\", expect_size=\"43179008\"] \n  41 -> 42 [size =\"43179008\"]\n  42 [size=\"28582400\", alpha=\"0.05\", expect_size=\"11432960\"] \n  42 -> 43 [size =\"11432960\"]\n  43 [size=\"126243840\", alpha=\"0.04\", expect_size=\"50497536\"] \n  43 -> 44 [size =\"50497536\"]\n  44 [size=\"97367040\", alpha=\"0.08\", expect_size=\"38946816\"] \n  44 -> 45 [size =\"38946816\"]\n  45 [size=\"60943360\", alpha=\"0.15\", expect_size=\"24377344\"] \n  45 -> 46 [size =\"24377344\"]\n  46 [size=\"116157440\", alpha=\"0.06\", expect_size=\"46462976\"] \n  46 -> 47 [size =\"46462976\"]\n  47 [size=\"73395200\", alpha=\"0.00\", expect_size=\"29358080\"] \n  47 -> 48 [size =\"29358080\"]\n  48 [size=\"37061120\", alpha=\"0.15\", expect_size=\"14824448\"] \n  48 -> 49 [size =\"14824448\"]\n  49 [size=\"23680000\", alpha=\"0.19\", expect_size=\"9472000\"] \n  49 -> 50 [size =\"9472000\"]\n  50 [size=\"89891840\", alpha=\"0.07\", expect_size=\"35956736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100676267\", alpha=\"0.08\", expect_size=\"30202880\"] \n  1 -> 7 [size =\"30202880\"]\n  1 -> 9 [size =\"30202880\"]\n  1 -> 13 [size =\"30202880\"]\n  2 [size=\"60061013\", alpha=\"0.18\", expect_size=\"18018304\"] \n  2 -> 11 [size =\"18018304\"]\n  2 -> 12 [size =\"18018304\"]\n  2 -> 13 [size =\"18018304\"]\n  3 [size=\"72813227\", alpha=\"0.03\", expect_size=\"21843968\"] \n  3 -> 7 [size =\"21843968\"]\n  3 -> 11 [size =\"21843968\"]\n  3 -> 12 [size =\"21843968\"]\n  3 -> 13 [size =\"21843968\"]\n  4 [size=\"107499520\", alpha=\"0.14\", expect_size=\"32249856\"] \n  4 -> 10 [size =\"32249856\"]\n  4 -> 11 [size =\"32249856\"]\n  5 [size=\"78144853\", alpha=\"0.14\", expect_size=\"23443456\"] \n  5 -> 8 [size =\"23443456\"]\n  5 -> 11 [size =\"23443456\"]\n  5 -> 12 [size =\"23443456\"]\n  5 -> 13 [size =\"23443456\"]\n  6 [size=\"46117547\", alpha=\"0.11\", expect_size=\"13835264\"] \n  6 -> 13 [size =\"13835264\"]\n  7 [size=\"32675840\", alpha=\"0.17\", expect_size=\"9802752\"] \n  7 -> 14 [size =\"9802752\"]\n  7 -> 16 [size =\"9802752\"]\n  7 -> 17 [size =\"9802752\"]\n  7 -> 18 [size =\"9802752\"]\n  7 -> 19 [size =\"9802752\"]\n  8 [size=\"64669013\", alpha=\"0.20\", expect_size=\"19400704\"] \n  8 -> 14 [size =\"19400704\"]\n  8 -> 18 [size =\"19400704\"]\n  9 [size=\"41782613\", alpha=\"0.01\", expect_size=\"12534784\"] \n  9 -> 14 [size =\"12534784\"]\n  9 -> 15 [size =\"12534784\"]\n  9 -> 18 [size =\"12534784\"]\n  9 -> 19 [size =\"12534784\"]\n  10 [size=\"144018773\", alpha=\"0.05\", expect_size=\"43205632\"] \n  10 -> 14 [size =\"43205632\"]\n  10 -> 15 [size =\"43205632\"]\n  10 -> 17 [size =\"43205632\"]\n  10 -> 18 [size =\"43205632\"]\n  11 [size=\"27596800\", alpha=\"0.19\", expect_size=\"8279040\"] \n  11 -> 15 [size =\"8279040\"]\n  11 -> 17 [size =\"8279040\"]\n  11 -> 18 [size =\"8279040\"]\n  12 [size=\"92419413\", alpha=\"0.17\", expect_size=\"27725824\"] \n  12 -> 15 [size =\"27725824\"]\n  12 -> 19 [size =\"27725824\"]\n  13 [size=\"75987627\", alpha=\"0.15\", expect_size=\"22796288\"] \n  13 -> 14 [size =\"22796288\"]\n  13 -> 19 [size =\"22796288\"]\n  14 [size=\"100055040\", alpha=\"0.18\", expect_size=\"30016512\"] \n  14 -> 23 [size =\"30016512\"]\n  14 -> 23 [size =\"30016512\"]\n  14 -> 25 [size =\"30016512\"]\n  15 [size=\"49513813\", alpha=\"0.09\", expect_size=\"14854144\"] \n  15 -> 21 [size =\"14854144\"]\n  15 -> 22 [size =\"14854144\"]\n  15 -> 23 [size =\"14854144\"]\n  15 -> 25 [size =\"14854144\"]\n  16 [size=\"162624853\", alpha=\"0.07\", expect_size=\"48787456\"] \n  16 -> 21 [size =\"48787456\"]\n  16 -> 25 [size =\"48787456\"]\n  17 [size=\"91620693\", alpha=\"0.14\", expect_size=\"27486208\"] \n  17 -> 22 [size =\"27486208\"]\n  17 -> 23 [size =\"27486208\"]\n  18 [size=\"66450773\", alpha=\"0.10\", expect_size=\"19935232\"] \n  18 -> 22 [size =\"19935232\"]\n  18 -> 24 [size =\"19935232\"]\n  19 [size=\"65068373\", alpha=\"0.10\", expect_size=\"19520512\"] \n  19 -> 20 [size =\"19520512\"]\n  19 -> 23 [size =\"19520512\"]\n  19 -> 25 [size =\"19520512\"]\n  20 [size=\"69413547\", alpha=\"0.18\", expect_size=\"20824064\"] \n  20 -> 30 [size =\"20824064\"]\n  21 [size=\"110612480\", alpha=\"0.16\", expect_size=\"33183744\"] \n  21 -> 27 [size =\"33183744\"]\n  21 -> 28 [size =\"33183744\"]\n  21 -> 29 [size =\"33183744\"]\n  21 -> 30 [size =\"33183744\"]\n  21 -> 31 [size =\"33183744\"]\n  22 [size=\"102444373\", alpha=\"0.00\", expect_size=\"30733312\"] \n  22 -> 27 [size =\"30733312\"]\n  22 -> 29 [size =\"30733312\"]\n  22 -> 30 [size =\"30733312\"]\n  22 -> 30 [size =\"30733312\"]\n  22 -> 31 [size =\"30733312\"]\n  23 [size=\"77363200\", alpha=\"0.11\", expect_size=\"23208960\"] \n  23 -> 26 [size =\"23208960\"]\n  23 -> 27 [size =\"23208960\"]\n  23 -> 28 [size =\"23208960\"]\n  23 -> 32 [size =\"23208960\"]\n  24 [size=\"41939627\", alpha=\"0.14\", expect_size=\"12581888\"] \n  24 -> 28 [size =\"12581888\"]\n  24 -> 29 [size =\"12581888\"]\n  25 [size=\"22545067\", alpha=\"0.04\", expect_size=\"6763520\"] \n  25 -> 28 [size =\"6763520\"]\n  25 -> 31 [size =\"6763520\"]\n  26 [size=\"90361173\", alpha=\"0.18\", expect_size=\"27108352\"] \n  26 -> 33 [size =\"27108352\"]\n  26 -> 38 [size =\"27108352\"]\n  27 [size=\"148606293\", alpha=\"0.14\", expect_size=\"44581888\"] \n  27 -> 33 [size =\"44581888\"]\n  27 -> 35 [size =\"44581888\"]\n  28 [size=\"104321707\", alpha=\"0.16\", expect_size=\"31296512\"] \n  28 -> 35 [size =\"31296512\"]\n  29 [size=\"23121920\", alpha=\"0.01\", expect_size=\"6936576\"] \n  29 -> 34 [size =\"6936576\"]\n  29 -> 35 [size =\"6936576\"]\n  29 -> 36 [size =\"6936576\"]\n  29 -> 37 [size =\"6936576\"]\n  29 -> 38 [size =\"6936576\"]\n  30 [size=\"99143680\", alpha=\"0.02\", expect_size=\"29743104\"] \n  30 -> 36 [size =\"29743104\"]\n  31 [size=\"81124693\", alpha=\"0.04\", expect_size=\"24337408\"] \n  31 -> 35 [size =\"24337408\"]\n  31 -> 36 [size =\"24337408\"]\n  31 -> 38 [size =\"24337408\"]\n  32 [size=\"52268373\", alpha=\"0.16\", expect_size=\"15680512\"] \n  33 [size=\"55159467\", alpha=\"0.15\", expect_size=\"16547840\"] \n  33 -> 42 [size =\"16547840\"]\n  33 -> 43 [size =\"16547840\"]\n  34 [size=\"145138347\", alpha=\"0.05\", expect_size=\"43541504\"] \n  34 -> 41 [size =\"43541504\"]\n  34 -> 42 [size =\"43541504\"]\n  34 -> 43 [size =\"43541504\"]\n  35 [size=\"97652053\", alpha=\"0.19\", expect_size=\"29295616\"] \n  35 -> 40 [size =\"29295616\"]\n  35 -> 41 [size =\"29295616\"]\n  36 [size=\"130662400\", alpha=\"0.11\", expect_size=\"39198720\"] \n  36 -> 39 [size =\"39198720\"]\n  36 -> 42 [size =\"39198720\"]\n  36 -> 44 [size =\"39198720\"]\n  37 [size=\"115520853\", alpha=\"0.13\", expect_size=\"34656256\"] \n  37 -> 40 [size =\"34656256\"]\n  37 -> 44 [size =\"34656256\"]\n  37 -> 44 [size =\"34656256\"]\n  38 [size=\"67426987\", alpha=\"0.00\", expect_size=\"20228096\"] \n  38 -> 40 [size =\"20228096\"]\n  38 -> 44 [size =\"20228096\"]\n  39 [size=\"33583787\", alpha=\"0.14\", expect_size=\"10075136\"] \n  39 -> 45 [size =\"10075136\"]\n  39 -> 46 [size =\"10075136\"]\n  39 -> 47 [size =\"10075136\"]\n  39 -> 49 [size =\"10075136\"]\n  39 -> 50 [size =\"10075136\"]\n  40 [size=\"38297600\", alpha=\"0.15\", expect_size=\"11489280\"] \n  40 -> 48 [size =\"11489280\"]\n  41 [size=\"50821120\", alpha=\"0.07\", expect_size=\"15246336\"] \n  41 -> 46 [size =\"15246336\"]\n  41 -> 47 [size =\"15246336\"]\n  41 -> 48 [size =\"15246336\"]\n  41 -> 49 [size =\"15246336\"]\n  41 -> 50 [size =\"15246336\"]\n  42 [size=\"81278293\", alpha=\"0.11\", expect_size=\"24383488\"] \n  42 -> 46 [size =\"24383488\"]\n  42 -> 48 [size =\"24383488\"]\n  42 -> 49 [size =\"24383488\"]\n  42 -> 50 [size =\"24383488\"]\n  43 [size=\"47332693\", alpha=\"0.02\", expect_size=\"14199808\"] \n  43 -> 46 [size =\"14199808\"]\n  43 -> 49 [size =\"14199808\"]\n  43 -> 50 [size =\"14199808\"]\n  44 [size=\"164778667\", alpha=\"0.16\", expect_size=\"49433600\"] \n  44 -> 48 [size =\"49433600\"]\n  44 -> 49 [size =\"49433600\"]\n  45 [size=\"44339200\", alpha=\"0.10\", expect_size=\"13301760\"] \n  46 [size=\"32628053\", alpha=\"0.14\", expect_size=\"9788416\"] \n  47 [size=\"117510827\", alpha=\"0.15\", expect_size=\"35253248\"] \n  48 [size=\"58559147\", alpha=\"0.06\", expect_size=\"17567744\"] \n  49 [size=\"62033920\", alpha=\"0.18\", expect_size=\"18610176\"] \n  50 [size=\"18240853\", alpha=\"0.01\", expect_size=\"5472256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.680.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69502293\", alpha=\"0.03\", expect_size=\"20850688\"] \n  1 -> 6 [size =\"20850688\"]\n  1 -> 7 [size =\"20850688\"]\n  2 [size=\"64307200\", alpha=\"0.09\", expect_size=\"19292160\"] \n  2 -> 6 [size =\"19292160\"]\n  2 -> 7 [size =\"19292160\"]\n  2 -> 8 [size =\"19292160\"]\n  2 -> 9 [size =\"19292160\"]\n  3 [size=\"62999893\", alpha=\"0.19\", expect_size=\"18899968\"] \n  3 -> 6 [size =\"18899968\"]\n  3 -> 7 [size =\"18899968\"]\n  3 -> 9 [size =\"18899968\"]\n  4 [size=\"54493867\", alpha=\"0.17\", expect_size=\"16348160\"] \n  4 -> 6 [size =\"16348160\"]\n  4 -> 7 [size =\"16348160\"]\n  4 -> 8 [size =\"16348160\"]\n  5 [size=\"33378987\", alpha=\"0.16\", expect_size=\"10013696\"] \n  5 -> 6 [size =\"10013696\"]\n  5 -> 7 [size =\"10013696\"]\n  6 [size=\"173066240\", alpha=\"0.14\", expect_size=\"51919872\"] \n  6 -> 10 [size =\"51919872\"]\n  6 -> 12 [size =\"51919872\"]\n  7 [size=\"148715520\", alpha=\"0.13\", expect_size=\"44614656\"] \n  7 -> 13 [size =\"44614656\"]\n  7 -> 14 [size =\"44614656\"]\n  7 -> 16 [size =\"44614656\"]\n  8 [size=\"91883520\", alpha=\"0.15\", expect_size=\"27565056\"] \n  8 -> 10 [size =\"27565056\"]\n  8 -> 11 [size =\"27565056\"]\n  8 -> 13 [size =\"27565056\"]\n  8 -> 15 [size =\"27565056\"]\n  8 -> 16 [size =\"27565056\"]\n  9 [size=\"24797867\", alpha=\"0.04\", expect_size=\"7439360\"] \n  9 -> 10 [size =\"7439360\"]\n  9 -> 12 [size =\"7439360\"]\n  9 -> 13 [size =\"7439360\"]\n  9 -> 16 [size =\"7439360\"]\n  9 -> 16 [size =\"7439360\"]\n  10 [size=\"128682667\", alpha=\"0.12\", expect_size=\"38604800\"] \n  10 -> 17 [size =\"38604800\"]\n  10 -> 18 [size =\"38604800\"]\n  10 -> 21 [size =\"38604800\"]\n  10 -> 22 [size =\"38604800\"]\n  10 -> 23 [size =\"38604800\"]\n  10 -> 24 [size =\"38604800\"]\n  11 [size=\"117742933\", alpha=\"0.03\", expect_size=\"35322880\"] \n  11 -> 17 [size =\"35322880\"]\n  11 -> 23 [size =\"35322880\"]\n  11 -> 24 [size =\"35322880\"]\n  12 [size=\"140363093\", alpha=\"0.00\", expect_size=\"42108928\"] \n  12 -> 17 [size =\"42108928\"]\n  12 -> 18 [size =\"42108928\"]\n  12 -> 21 [size =\"42108928\"]\n  12 -> 23 [size =\"42108928\"]\n  12 -> 24 [size =\"42108928\"]\n  12 -> 25 [size =\"42108928\"]\n  13 [size=\"50288640\", alpha=\"0.03\", expect_size=\"15086592\"] \n  13 -> 17 [size =\"15086592\"]\n  13 -> 18 [size =\"15086592\"]\n  13 -> 19 [size =\"15086592\"]\n  13 -> 23 [size =\"15086592\"]\n  13 -> 24 [size =\"15086592\"]\n  13 -> 25 [size =\"15086592\"]\n  14 [size=\"44755627\", alpha=\"0.03\", expect_size=\"13426688\"] \n  14 -> 17 [size =\"13426688\"]\n  14 -> 18 [size =\"13426688\"]\n  14 -> 21 [size =\"13426688\"]\n  14 -> 25 [size =\"13426688\"]\n  15 [size=\"22162773\", alpha=\"0.08\", expect_size=\"6648832\"] \n  15 -> 17 [size =\"6648832\"]\n  15 -> 22 [size =\"6648832\"]\n  15 -> 25 [size =\"6648832\"]\n  16 [size=\"144175787\", alpha=\"0.18\", expect_size=\"43252736\"] \n  16 -> 17 [size =\"43252736\"]\n  16 -> 20 [size =\"43252736\"]\n  16 -> 23 [size =\"43252736\"]\n  16 -> 25 [size =\"43252736\"]\n  17 [size=\"98471253\", alpha=\"0.03\", expect_size=\"29541376\"] \n  17 -> 27 [size =\"29541376\"]\n  18 [size=\"42499413\", alpha=\"0.14\", expect_size=\"12749824\"] \n  18 -> 30 [size =\"12749824\"]\n  18 -> 31 [size =\"12749824\"]\n  19 [size=\"159604053\", alpha=\"0.02\", expect_size=\"47881216\"] \n  19 -> 31 [size =\"47881216\"]\n  19 -> 31 [size =\"47881216\"]\n  20 [size=\"34884267\", alpha=\"0.11\", expect_size=\"10465280\"] \n  20 -> 27 [size =\"10465280\"]\n  20 -> 30 [size =\"10465280\"]\n  20 -> 31 [size =\"10465280\"]\n  21 [size=\"128317440\", alpha=\"0.07\", expect_size=\"38495232\"] \n  21 -> 26 [size =\"38495232\"]\n  21 -> 30 [size =\"38495232\"]\n  21 -> 31 [size =\"38495232\"]\n  22 [size=\"155692373\", alpha=\"0.08\", expect_size=\"46707712\"] \n  22 -> 31 [size =\"46707712\"]\n  23 [size=\"158948693\", alpha=\"0.16\", expect_size=\"47684608\"] \n  23 -> 30 [size =\"47684608\"]\n  23 -> 31 [size =\"47684608\"]\n  24 [size=\"23384747\", alpha=\"0.08\", expect_size=\"7015424\"] \n  24 -> 27 [size =\"7015424\"]\n  24 -> 28 [size =\"7015424\"]\n  24 -> 31 [size =\"7015424\"]\n  25 [size=\"46646613\", alpha=\"0.03\", expect_size=\"13993984\"] \n  25 -> 29 [size =\"13993984\"]\n  26 [size=\"106154667\", alpha=\"0.17\", expect_size=\"31846400\"] \n  26 -> 32 [size =\"31846400\"]\n  26 -> 33 [size =\"31846400\"]\n  26 -> 35 [size =\"31846400\"]\n  26 -> 38 [size =\"31846400\"]\n  27 [size=\"93624320\", alpha=\"0.07\", expect_size=\"28087296\"] \n  27 -> 33 [size =\"28087296\"]\n  27 -> 35 [size =\"28087296\"]\n  27 -> 36 [size =\"28087296\"]\n  27 -> 37 [size =\"28087296\"]\n  27 -> 38 [size =\"28087296\"]\n  28 [size=\"120978773\", alpha=\"0.08\", expect_size=\"36293632\"] \n  28 -> 34 [size =\"36293632\"]\n  28 -> 37 [size =\"36293632\"]\n  28 -> 38 [size =\"36293632\"]\n  29 [size=\"73953280\", alpha=\"0.09\", expect_size=\"22185984\"] \n  29 -> 33 [size =\"22185984\"]\n  29 -> 37 [size =\"22185984\"]\n  29 -> 38 [size =\"22185984\"]\n  30 [size=\"85811200\", alpha=\"0.04\", expect_size=\"25743360\"] \n  30 -> 32 [size =\"25743360\"]\n  30 -> 33 [size =\"25743360\"]\n  30 -> 34 [size =\"25743360\"]\n  30 -> 37 [size =\"25743360\"]\n  30 -> 38 [size =\"25743360\"]\n  30 -> 39 [size =\"25743360\"]\n  31 [size=\"170195627\", alpha=\"0.12\", expect_size=\"51058688\"] \n  31 -> 33 [size =\"51058688\"]\n  31 -> 35 [size =\"51058688\"]\n  31 -> 37 [size =\"51058688\"]\n  31 -> 39 [size =\"51058688\"]\n  32 [size=\"64566613\", alpha=\"0.16\", expect_size=\"19369984\"] \n  32 -> 40 [size =\"19369984\"]\n  32 -> 41 [size =\"19369984\"]\n  32 -> 43 [size =\"19369984\"]\n  33 [size=\"130331307\", alpha=\"0.04\", expect_size=\"39099392\"] \n  33 -> 40 [size =\"39099392\"]\n  33 -> 41 [size =\"39099392\"]\n  33 -> 42 [size =\"39099392\"]\n  33 -> 43 [size =\"39099392\"]\n  34 [size=\"98437120\", alpha=\"0.15\", expect_size=\"29531136\"] \n  34 -> 43 [size =\"29531136\"]\n  35 [size=\"163191467\", alpha=\"0.07\", expect_size=\"48957440\"] \n  35 -> 42 [size =\"48957440\"]\n  35 -> 43 [size =\"48957440\"]\n  36 [size=\"25924267\", alpha=\"0.15\", expect_size=\"7777280\"] \n  36 -> 42 [size =\"7777280\"]\n  37 [size=\"156805120\", alpha=\"0.13\", expect_size=\"47041536\"] \n  37 -> 43 [size =\"47041536\"]\n  38 [size=\"57924267\", alpha=\"0.15\", expect_size=\"17377280\"] \n  39 [size=\"118265173\", alpha=\"0.15\", expect_size=\"35479552\"] \n  39 -> 40 [size =\"35479552\"]\n  39 -> 43 [size =\"35479552\"]\n  40 [size=\"30580053\", alpha=\"0.16\", expect_size=\"9174016\"] \n  40 -> 45 [size =\"9174016\"]\n  40 -> 45 [size =\"9174016\"]\n  40 -> 49 [size =\"9174016\"]\n  41 [size=\"63365120\", alpha=\"0.12\", expect_size=\"19009536\"] \n  41 -> 44 [size =\"19009536\"]\n  41 -> 46 [size =\"19009536\"]\n  41 -> 47 [size =\"19009536\"]\n  42 [size=\"159600640\", alpha=\"0.06\", expect_size=\"47880192\"] \n  42 -> 44 [size =\"47880192\"]\n  42 -> 45 [size =\"47880192\"]\n  42 -> 46 [size =\"47880192\"]\n  42 -> 47 [size =\"47880192\"]\n  43 [size=\"127600640\", alpha=\"0.17\", expect_size=\"38280192\"] \n  43 -> 44 [size =\"38280192\"]\n  43 -> 45 [size =\"38280192\"]\n  43 -> 47 [size =\"38280192\"]\n  43 -> 47 [size =\"38280192\"]\n  43 -> 48 [size =\"38280192\"]\n  44 [size=\"157470720\", alpha=\"0.09\", expect_size=\"47241216\"] \n  44 -> 50 [size =\"47241216\"]\n  45 [size=\"119203840\", alpha=\"0.05\", expect_size=\"35761152\"] \n  45 -> 50 [size =\"35761152\"]\n  46 [size=\"17489920\", alpha=\"0.13\", expect_size=\"5246976\"] \n  46 -> 50 [size =\"5246976\"]\n  47 [size=\"136318293\", alpha=\"0.09\", expect_size=\"40895488\"] \n  47 -> 50 [size =\"40895488\"]\n  48 [size=\"84821333\", alpha=\"0.20\", expect_size=\"25446400\"] \n  48 -> 50 [size =\"25446400\"]\n  49 [size=\"45312000\", alpha=\"0.17\", expect_size=\"13593600\"] \n  49 -> 50 [size =\"13593600\"]\n  50 [size=\"159921493\", alpha=\"0.03\", expect_size=\"47976448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.681.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23708160\", alpha=\"0.13\", expect_size=\"9483264\"] \n  1 -> 34 [size =\"9483264\"]\n  1 -> 36 [size =\"9483264\"]\n  1 -> 37 [size =\"9483264\"]\n  1 -> 47 [size =\"9483264\"]\n  1 -> 50 [size =\"9483264\"]\n  2 [size=\"44748800\", alpha=\"0.17\", expect_size=\"17899520\"] \n  2 -> 34 [size =\"17899520\"]\n  2 -> 35 [size =\"17899520\"]\n  2 -> 37 [size =\"17899520\"]\n  2 -> 41 [size =\"17899520\"]\n  2 -> 44 [size =\"17899520\"]\n  2 -> 50 [size =\"17899520\"]\n  3 [size=\"126592000\", alpha=\"0.03\", expect_size=\"50636800\"] \n  3 -> 36 [size =\"50636800\"]\n  3 -> 38 [size =\"50636800\"]\n  3 -> 39 [size =\"50636800\"]\n  3 -> 42 [size =\"50636800\"]\n  3 -> 50 [size =\"50636800\"]\n  3 -> 50 [size =\"50636800\"]\n  4 [size=\"67133440\", alpha=\"0.12\", expect_size=\"26853376\"] \n  4 -> 34 [size =\"26853376\"]\n  4 -> 35 [size =\"26853376\"]\n  4 -> 38 [size =\"26853376\"]\n  4 -> 39 [size =\"26853376\"]\n  4 -> 42 [size =\"26853376\"]\n  4 -> 50 [size =\"26853376\"]\n  5 [size=\"118169600\", alpha=\"0.11\", expect_size=\"47267840\"] \n  5 -> 34 [size =\"47267840\"]\n  5 -> 36 [size =\"47267840\"]\n  5 -> 39 [size =\"47267840\"]\n  5 -> 40 [size =\"47267840\"]\n  5 -> 43 [size =\"47267840\"]\n  6 [size=\"106542080\", alpha=\"0.16\", expect_size=\"42616832\"] \n  6 -> 34 [size =\"42616832\"]\n  6 -> 36 [size =\"42616832\"]\n  6 -> 37 [size =\"42616832\"]\n  6 -> 43 [size =\"42616832\"]\n  6 -> 45 [size =\"42616832\"]\n  6 -> 50 [size =\"42616832\"]\n  7 [size=\"98595840\", alpha=\"0.05\", expect_size=\"39438336\"] \n  7 -> 34 [size =\"39438336\"]\n  7 -> 36 [size =\"39438336\"]\n  7 -> 38 [size =\"39438336\"]\n  7 -> 39 [size =\"39438336\"]\n  7 -> 41 [size =\"39438336\"]\n  7 -> 43 [size =\"39438336\"]\n  7 -> 44 [size =\"39438336\"]\n  7 -> 45 [size =\"39438336\"]\n  8 [size=\"88432640\", alpha=\"0.09\", expect_size=\"35373056\"] \n  8 -> 39 [size =\"35373056\"]\n  8 -> 43 [size =\"35373056\"]\n  8 -> 44 [size =\"35373056\"]\n  8 -> 46 [size =\"35373056\"]\n  9 [size=\"44500480\", alpha=\"0.14\", expect_size=\"17800192\"] \n  9 -> 35 [size =\"17800192\"]\n  9 -> 36 [size =\"17800192\"]\n  9 -> 39 [size =\"17800192\"]\n  9 -> 41 [size =\"17800192\"]\n  9 -> 45 [size =\"17800192\"]\n  10 [size=\"98273280\", alpha=\"0.06\", expect_size=\"39309312\"] \n  10 -> 35 [size =\"39309312\"]\n  10 -> 50 [size =\"39309312\"]\n  11 [size=\"58931200\", alpha=\"0.15\", expect_size=\"23572480\"] \n  11 -> 36 [size =\"23572480\"]\n  11 -> 37 [size =\"23572480\"]\n  11 -> 39 [size =\"23572480\"]\n  11 -> 41 [size =\"23572480\"]\n  11 -> 42 [size =\"23572480\"]\n  11 -> 44 [size =\"23572480\"]\n  11 -> 46 [size =\"23572480\"]\n  11 -> 50 [size =\"23572480\"]\n  12 [size=\"15695360\", alpha=\"0.03\", expect_size=\"6278144\"] \n  12 -> 34 [size =\"6278144\"]\n  12 -> 35 [size =\"6278144\"]\n  12 -> 38 [size =\"6278144\"]\n  12 -> 41 [size =\"6278144\"]\n  12 -> 42 [size =\"6278144\"]\n  12 -> 45 [size =\"6278144\"]\n  12 -> 47 [size =\"6278144\"]\n  12 -> 50 [size =\"6278144\"]\n  13 [size=\"117501440\", alpha=\"0.08\", expect_size=\"47000576\"] \n  13 -> 38 [size =\"47000576\"]\n  13 -> 42 [size =\"47000576\"]\n  13 -> 43 [size =\"47000576\"]\n  13 -> 45 [size =\"47000576\"]\n  13 -> 47 [size =\"47000576\"]\n  13 -> 49 [size =\"47000576\"]\n  14 [size=\"14689280\", alpha=\"0.04\", expect_size=\"5875712\"] \n  14 -> 42 [size =\"5875712\"]\n  14 -> 42 [size =\"5875712\"]\n  14 -> 44 [size =\"5875712\"]\n  14 -> 45 [size =\"5875712\"]\n  14 -> 47 [size =\"5875712\"]\n  14 -> 49 [size =\"5875712\"]\n  14 -> 50 [size =\"5875712\"]\n  15 [size=\"86282240\", alpha=\"0.06\", expect_size=\"34512896\"] \n  15 -> 34 [size =\"34512896\"]\n  15 -> 36 [size =\"34512896\"]\n  15 -> 38 [size =\"34512896\"]\n  15 -> 42 [size =\"34512896\"]\n  15 -> 45 [size =\"34512896\"]\n  15 -> 47 [size =\"34512896\"]\n  15 -> 50 [size =\"34512896\"]\n  16 [size=\"30515200\", alpha=\"0.00\", expect_size=\"12206080\"] \n  16 -> 35 [size =\"12206080\"]\n  16 -> 38 [size =\"12206080\"]\n  16 -> 40 [size =\"12206080\"]\n  16 -> 45 [size =\"12206080\"]\n  16 -> 45 [size =\"12206080\"]\n  16 -> 49 [size =\"12206080\"]\n  17 [size=\"127413760\", alpha=\"0.03\", expect_size=\"50965504\"] \n  17 -> 34 [size =\"50965504\"]\n  17 -> 36 [size =\"50965504\"]\n  17 -> 45 [size =\"50965504\"]\n  17 -> 49 [size =\"50965504\"]\n  18 [size=\"38679040\", alpha=\"0.16\", expect_size=\"15471616\"] \n  18 -> 36 [size =\"15471616\"]\n  18 -> 38 [size =\"15471616\"]\n  18 -> 42 [size =\"15471616\"]\n  18 -> 43 [size =\"15471616\"]\n  18 -> 47 [size =\"15471616\"]\n  18 -> 50 [size =\"15471616\"]\n  19 [size=\"90926080\", alpha=\"0.02\", expect_size=\"36370432\"] \n  19 -> 34 [size =\"36370432\"]\n  19 -> 39 [size =\"36370432\"]\n  19 -> 48 [size =\"36370432\"]\n  19 -> 50 [size =\"36370432\"]\n  20 [size=\"58135040\", alpha=\"0.04\", expect_size=\"23254016\"] \n  20 -> 35 [size =\"23254016\"]\n  20 -> 36 [size =\"23254016\"]\n  20 -> 39 [size =\"23254016\"]\n  20 -> 41 [size =\"23254016\"]\n  20 -> 42 [size =\"23254016\"]\n  20 -> 47 [size =\"23254016\"]\n  21 [size=\"92252160\", alpha=\"0.07\", expect_size=\"36900864\"] \n  21 -> 34 [size =\"36900864\"]\n  21 -> 39 [size =\"36900864\"]\n  21 -> 41 [size =\"36900864\"]\n  21 -> 42 [size =\"36900864\"]\n  21 -> 45 [size =\"36900864\"]\n  21 -> 47 [size =\"36900864\"]\n  21 -> 50 [size =\"36900864\"]\n  22 [size=\"61491200\", alpha=\"0.15\", expect_size=\"24596480\"] \n  22 -> 34 [size =\"24596480\"]\n  22 -> 41 [size =\"24596480\"]\n  22 -> 41 [size =\"24596480\"]\n  22 -> 43 [size =\"24596480\"]\n  22 -> 45 [size =\"24596480\"]\n  22 -> 46 [size =\"24596480\"]\n  22 -> 47 [size =\"24596480\"]\n  22 -> 48 [size =\"24596480\"]\n  23 [size=\"77301760\", alpha=\"0.03\", expect_size=\"30920704\"] \n  23 -> 34 [size =\"30920704\"]\n  23 -> 35 [size =\"30920704\"]\n  23 -> 47 [size =\"30920704\"]\n  23 -> 50 [size =\"30920704\"]\n  24 [size=\"123537920\", alpha=\"0.00\", expect_size=\"49415168\"] \n  24 -> 34 [size =\"49415168\"]\n  24 -> 35 [size =\"49415168\"]\n  24 -> 38 [size =\"49415168\"]\n  24 -> 41 [size =\"49415168\"]\n  24 -> 45 [size =\"49415168\"]\n  24 -> 47 [size =\"49415168\"]\n  25 [size=\"29288960\", alpha=\"0.15\", expect_size=\"11715584\"] \n  25 -> 34 [size =\"11715584\"]\n  25 -> 35 [size =\"11715584\"]\n  25 -> 39 [size =\"11715584\"]\n  25 -> 44 [size =\"11715584\"]\n  25 -> 47 [size =\"11715584\"]\n  25 -> 47 [size =\"11715584\"]\n  25 -> 49 [size =\"11715584\"]\n  26 [size=\"64046080\", alpha=\"0.06\", expect_size=\"25618432\"] \n  26 -> 35 [size =\"25618432\"]\n  26 -> 43 [size =\"25618432\"]\n  26 -> 47 [size =\"25618432\"]\n  26 -> 50 [size =\"25618432\"]\n  27 [size=\"64491520\", alpha=\"0.11\", expect_size=\"25796608\"] \n  27 -> 35 [size =\"25796608\"]\n  27 -> 36 [size =\"25796608\"]\n  27 -> 39 [size =\"25796608\"]\n  27 -> 47 [size =\"25796608\"]\n  28 [size=\"80496640\", alpha=\"0.09\", expect_size=\"32198656\"] \n  28 -> 35 [size =\"32198656\"]\n  28 -> 41 [size =\"32198656\"]\n  28 -> 43 [size =\"32198656\"]\n  28 -> 45 [size =\"32198656\"]\n  28 -> 47 [size =\"32198656\"]\n  29 [size=\"55104000\", alpha=\"0.12\", expect_size=\"22041600\"] \n  29 -> 34 [size =\"22041600\"]\n  29 -> 35 [size =\"22041600\"]\n  29 -> 43 [size =\"22041600\"]\n  29 -> 47 [size =\"22041600\"]\n  29 -> 50 [size =\"22041600\"]\n  30 [size=\"68203520\", alpha=\"0.09\", expect_size=\"27281408\"] \n  30 -> 34 [size =\"27281408\"]\n  30 -> 35 [size =\"27281408\"]\n  30 -> 36 [size =\"27281408\"]\n  30 -> 38 [size =\"27281408\"]\n  30 -> 46 [size =\"27281408\"]\n  30 -> 50 [size =\"27281408\"]\n  31 [size=\"89620480\", alpha=\"0.15\", expect_size=\"35848192\"] \n  31 -> 34 [size =\"35848192\"]\n  31 -> 37 [size =\"35848192\"]\n  32 [size=\"129958400\", alpha=\"0.01\", expect_size=\"51983360\"] \n  32 -> 34 [size =\"51983360\"]\n  32 -> 35 [size =\"51983360\"]\n  32 -> 42 [size =\"51983360\"]\n  32 -> 45 [size =\"51983360\"]\n  32 -> 47 [size =\"51983360\"]\n  33 [size=\"102888960\", alpha=\"0.04\", expect_size=\"41155584\"] \n  33 -> 34 [size =\"41155584\"]\n  33 -> 35 [size =\"41155584\"]\n  33 -> 45 [size =\"41155584\"]\n  33 -> 45 [size =\"41155584\"]\n  33 -> 47 [size =\"41155584\"]\n  33 -> 50 [size =\"41155584\"]\n  34 [size=\"121904640\", alpha=\"0.08\", expect_size=\"48761856\"] \n  35 [size=\"123064320\", alpha=\"0.04\", expect_size=\"49225728\"] \n  36 [size=\"93465600\", alpha=\"0.04\", expect_size=\"37386240\"] \n  37 [size=\"126548480\", alpha=\"0.02\", expect_size=\"50619392\"] \n  38 [size=\"71869440\", alpha=\"0.05\", expect_size=\"28747776\"] \n  39 [size=\"122726400\", alpha=\"0.01\", expect_size=\"49090560\"] \n  40 [size=\"74577920\", alpha=\"0.05\", expect_size=\"29831168\"] \n  41 [size=\"130560000\", alpha=\"0.02\", expect_size=\"52224000\"] \n  42 [size=\"100567040\", alpha=\"0.07\", expect_size=\"40226816\"] \n  43 [size=\"105152000\", alpha=\"0.04\", expect_size=\"42060800\"] \n  44 [size=\"130744320\", alpha=\"0.19\", expect_size=\"52297728\"] \n  45 [size=\"60963840\", alpha=\"0.16\", expect_size=\"24385536\"] \n  46 [size=\"86950400\", alpha=\"0.03\", expect_size=\"34780160\"] \n  47 [size=\"108149760\", alpha=\"0.18\", expect_size=\"43259904\"] \n  48 [size=\"120903680\", alpha=\"0.04\", expect_size=\"48361472\"] \n  49 [size=\"32821760\", alpha=\"0.18\", expect_size=\"13128704\"] \n  50 [size=\"39690240\", alpha=\"0.01\", expect_size=\"15876096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.682.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94681600\", alpha=\"0.10\", expect_size=\"37872640\"] \n  1 -> 43 [size =\"37872640\"]\n  1 -> 46 [size =\"37872640\"]\n  1 -> 48 [size =\"37872640\"]\n  1 -> 49 [size =\"37872640\"]\n  2 [size=\"96327680\", alpha=\"0.19\", expect_size=\"38531072\"] \n  2 -> 43 [size =\"38531072\"]\n  2 -> 44 [size =\"38531072\"]\n  2 -> 49 [size =\"38531072\"]\n  3 [size=\"21096960\", alpha=\"0.03\", expect_size=\"8438784\"] \n  3 -> 43 [size =\"8438784\"]\n  3 -> 45 [size =\"8438784\"]\n  3 -> 46 [size =\"8438784\"]\n  3 -> 49 [size =\"8438784\"]\n  4 [size=\"104588800\", alpha=\"0.04\", expect_size=\"41835520\"] \n  4 -> 43 [size =\"41835520\"]\n  4 -> 47 [size =\"41835520\"]\n  5 [size=\"56330240\", alpha=\"0.08\", expect_size=\"22532096\"] \n  5 -> 43 [size =\"22532096\"]\n  5 -> 44 [size =\"22532096\"]\n  5 -> 46 [size =\"22532096\"]\n  5 -> 47 [size =\"22532096\"]\n  5 -> 49 [size =\"22532096\"]\n  6 [size=\"108879360\", alpha=\"0.03\", expect_size=\"43551744\"] \n  6 -> 43 [size =\"43551744\"]\n  6 -> 49 [size =\"43551744\"]\n  6 -> 50 [size =\"43551744\"]\n  7 [size=\"114465280\", alpha=\"0.03\", expect_size=\"45786112\"] \n  7 -> 43 [size =\"45786112\"]\n  7 -> 45 [size =\"45786112\"]\n  7 -> 46 [size =\"45786112\"]\n  7 -> 50 [size =\"45786112\"]\n  8 [size=\"115609600\", alpha=\"0.18\", expect_size=\"46243840\"] \n  8 -> 49 [size =\"46243840\"]\n  8 -> 50 [size =\"46243840\"]\n  9 [size=\"33392640\", alpha=\"0.18\", expect_size=\"13357056\"] \n  9 -> 44 [size =\"13357056\"]\n  9 -> 50 [size =\"13357056\"]\n  10 [size=\"52490240\", alpha=\"0.14\", expect_size=\"20996096\"] \n  10 -> 43 [size =\"20996096\"]\n  10 -> 44 [size =\"20996096\"]\n  10 -> 45 [size =\"20996096\"]\n  10 -> 49 [size =\"20996096\"]\n  10 -> 50 [size =\"20996096\"]\n  11 [size=\"51351040\", alpha=\"0.05\", expect_size=\"20540416\"] \n  11 -> 44 [size =\"20540416\"]\n  11 -> 47 [size =\"20540416\"]\n  11 -> 49 [size =\"20540416\"]\n  11 -> 50 [size =\"20540416\"]\n  12 [size=\"110218240\", alpha=\"0.08\", expect_size=\"44087296\"] \n  12 -> 46 [size =\"44087296\"]\n  12 -> 47 [size =\"44087296\"]\n  12 -> 50 [size =\"44087296\"]\n  13 [size=\"104350720\", alpha=\"0.16\", expect_size=\"41740288\"] \n  13 -> 43 [size =\"41740288\"]\n  13 -> 46 [size =\"41740288\"]\n  14 [size=\"121374720\", alpha=\"0.08\", expect_size=\"48549888\"] \n  14 -> 43 [size =\"48549888\"]\n  14 -> 44 [size =\"48549888\"]\n  14 -> 47 [size =\"48549888\"]\n  14 -> 50 [size =\"48549888\"]\n  15 [size=\"27832320\", alpha=\"0.19\", expect_size=\"11132928\"] \n  15 -> 44 [size =\"11132928\"]\n  16 [size=\"73451520\", alpha=\"0.10\", expect_size=\"29380608\"] \n  16 -> 47 [size =\"29380608\"]\n  16 -> 50 [size =\"29380608\"]\n  17 [size=\"90081280\", alpha=\"0.15\", expect_size=\"36032512\"] \n  17 -> 44 [size =\"36032512\"]\n  17 -> 47 [size =\"36032512\"]\n  18 [size=\"107630080\", alpha=\"0.07\", expect_size=\"43052032\"] \n  18 -> 43 [size =\"43052032\"]\n  18 -> 47 [size =\"43052032\"]\n  18 -> 49 [size =\"43052032\"]\n  19 [size=\"95393280\", alpha=\"0.01\", expect_size=\"38157312\"] \n  19 -> 43 [size =\"38157312\"]\n  19 -> 44 [size =\"38157312\"]\n  19 -> 46 [size =\"38157312\"]\n  19 -> 49 [size =\"38157312\"]\n  20 [size=\"83714560\", alpha=\"0.17\", expect_size=\"33485824\"] \n  20 -> 43 [size =\"33485824\"]\n  20 -> 44 [size =\"33485824\"]\n  20 -> 46 [size =\"33485824\"]\n  20 -> 47 [size =\"33485824\"]\n  20 -> 49 [size =\"33485824\"]\n  20 -> 50 [size =\"33485824\"]\n  21 [size=\"46423040\", alpha=\"0.07\", expect_size=\"18569216\"] \n  21 -> 43 [size =\"18569216\"]\n  21 -> 49 [size =\"18569216\"]\n  22 [size=\"78586880\", alpha=\"0.10\", expect_size=\"31434752\"] \n  22 -> 44 [size =\"31434752\"]\n  22 -> 46 [size =\"31434752\"]\n  22 -> 49 [size =\"31434752\"]\n  22 -> 50 [size =\"31434752\"]\n  23 [size=\"124313600\", alpha=\"0.15\", expect_size=\"49725440\"] \n  23 -> 43 [size =\"49725440\"]\n  23 -> 44 [size =\"49725440\"]\n  23 -> 47 [size =\"49725440\"]\n  24 [size=\"102184960\", alpha=\"0.16\", expect_size=\"40873984\"] \n  24 -> 43 [size =\"40873984\"]\n  24 -> 44 [size =\"40873984\"]\n  24 -> 46 [size =\"40873984\"]\n  24 -> 47 [size =\"40873984\"]\n  25 [size=\"33868800\", alpha=\"0.04\", expect_size=\"13547520\"] \n  25 -> 44 [size =\"13547520\"]\n  25 -> 47 [size =\"13547520\"]\n  25 -> 50 [size =\"13547520\"]\n  26 [size=\"25561600\", alpha=\"0.08\", expect_size=\"10224640\"] \n  26 -> 43 [size =\"10224640\"]\n  26 -> 46 [size =\"10224640\"]\n  26 -> 49 [size =\"10224640\"]\n  26 -> 50 [size =\"10224640\"]\n  27 [size=\"86881280\", alpha=\"0.09\", expect_size=\"34752512\"] \n  27 -> 43 [size =\"34752512\"]\n  27 -> 46 [size =\"34752512\"]\n  28 [size=\"57789440\", alpha=\"0.08\", expect_size=\"23115776\"] \n  28 -> 44 [size =\"23115776\"]\n  28 -> 45 [size =\"23115776\"]\n  28 -> 46 [size =\"23115776\"]\n  28 -> 47 [size =\"23115776\"]\n  29 [size=\"99422720\", alpha=\"0.10\", expect_size=\"39769088\"] \n  29 -> 46 [size =\"39769088\"]\n  29 -> 49 [size =\"39769088\"]\n  30 [size=\"106406400\", alpha=\"0.19\", expect_size=\"42562560\"] \n  30 -> 43 [size =\"42562560\"]\n  30 -> 44 [size =\"42562560\"]\n  30 -> 46 [size =\"42562560\"]\n  30 -> 47 [size =\"42562560\"]\n  30 -> 48 [size =\"42562560\"]\n  30 -> 50 [size =\"42562560\"]\n  31 [size=\"88448000\", alpha=\"0.14\", expect_size=\"35379200\"] \n  31 -> 46 [size =\"35379200\"]\n  31 -> 47 [size =\"35379200\"]\n  31 -> 49 [size =\"35379200\"]\n  31 -> 50 [size =\"35379200\"]\n  32 [size=\"127124480\", alpha=\"0.06\", expect_size=\"50849792\"] \n  32 -> 43 [size =\"50849792\"]\n  32 -> 44 [size =\"50849792\"]\n  32 -> 45 [size =\"50849792\"]\n  32 -> 46 [size =\"50849792\"]\n  32 -> 47 [size =\"50849792\"]\n  32 -> 49 [size =\"50849792\"]\n  32 -> 50 [size =\"50849792\"]\n  33 [size=\"69726720\", alpha=\"0.13\", expect_size=\"27890688\"] \n  33 -> 44 [size =\"27890688\"]\n  33 -> 47 [size =\"27890688\"]\n  33 -> 49 [size =\"27890688\"]\n  33 -> 50 [size =\"27890688\"]\n  34 [size=\"42214400\", alpha=\"0.19\", expect_size=\"16885760\"] \n  34 -> 44 [size =\"16885760\"]\n  34 -> 45 [size =\"16885760\"]\n  34 -> 47 [size =\"16885760\"]\n  34 -> 48 [size =\"16885760\"]\n  34 -> 50 [size =\"16885760\"]\n  35 [size=\"18101760\", alpha=\"0.07\", expect_size=\"7240704\"] \n  35 -> 45 [size =\"7240704\"]\n  35 -> 46 [size =\"7240704\"]\n  35 -> 47 [size =\"7240704\"]\n  35 -> 50 [size =\"7240704\"]\n  36 [size=\"40614400\", alpha=\"0.05\", expect_size=\"16245760\"] \n  36 -> 45 [size =\"16245760\"]\n  36 -> 47 [size =\"16245760\"]\n  36 -> 47 [size =\"16245760\"]\n  36 -> 49 [size =\"16245760\"]\n  37 [size=\"87564800\", alpha=\"0.17\", expect_size=\"35025920\"] \n  37 -> 46 [size =\"35025920\"]\n  37 -> 49 [size =\"35025920\"]\n  38 [size=\"24378880\", alpha=\"0.04\", expect_size=\"9751552\"] \n  38 -> 47 [size =\"9751552\"]\n  38 -> 48 [size =\"9751552\"]\n  38 -> 49 [size =\"9751552\"]\n  39 [size=\"71528960\", alpha=\"0.05\", expect_size=\"28611584\"] \n  39 -> 43 [size =\"28611584\"]\n  39 -> 45 [size =\"28611584\"]\n  39 -> 47 [size =\"28611584\"]\n  39 -> 49 [size =\"28611584\"]\n  40 [size=\"13370880\", alpha=\"0.19\", expect_size=\"5348352\"] \n  40 -> 43 [size =\"5348352\"]\n  40 -> 46 [size =\"5348352\"]\n  40 -> 49 [size =\"5348352\"]\n  41 [size=\"125219840\", alpha=\"0.18\", expect_size=\"50087936\"] \n  41 -> 43 [size =\"50087936\"]\n  41 -> 46 [size =\"50087936\"]\n  42 [size=\"91427840\", alpha=\"0.08\", expect_size=\"36571136\"] \n  42 -> 43 [size =\"36571136\"]\n  42 -> 46 [size =\"36571136\"]\n  43 [size=\"127073280\", alpha=\"0.17\", expect_size=\"50829312\"] \n  44 [size=\"87470080\", alpha=\"0.01\", expect_size=\"34988032\"] \n  45 [size=\"80885760\", alpha=\"0.08\", expect_size=\"32354304\"] \n  46 [size=\"122048000\", alpha=\"0.18\", expect_size=\"48819200\"] \n  47 [size=\"35371520\", alpha=\"0.00\", expect_size=\"14148608\"] \n  48 [size=\"15797760\", alpha=\"0.10\", expect_size=\"6319104\"] \n  49 [size=\"39884800\", alpha=\"0.14\", expect_size=\"15953920\"] \n  50 [size=\"71959040\", alpha=\"0.14\", expect_size=\"28783616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.683.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54159360\", alpha=\"0.17\", expect_size=\"21663744\"] \n  1 -> 2 [size =\"21663744\"]\n  2 [size=\"59929600\", alpha=\"0.18\", expect_size=\"23971840\"] \n  2 -> 3 [size =\"23971840\"]\n  3 [size=\"42004480\", alpha=\"0.20\", expect_size=\"16801792\"] \n  3 -> 4 [size =\"16801792\"]\n  4 [size=\"51156480\", alpha=\"0.00\", expect_size=\"20462592\"] \n  4 -> 5 [size =\"20462592\"]\n  5 [size=\"60014080\", alpha=\"0.16\", expect_size=\"24005632\"] \n  5 -> 6 [size =\"24005632\"]\n  6 [size=\"36592640\", alpha=\"0.15\", expect_size=\"14637056\"] \n  6 -> 7 [size =\"14637056\"]\n  7 [size=\"111534080\", alpha=\"0.17\", expect_size=\"44613632\"] \n  7 -> 8 [size =\"44613632\"]\n  8 [size=\"20175360\", alpha=\"0.02\", expect_size=\"8070144\"] \n  8 -> 9 [size =\"8070144\"]\n  9 [size=\"94722560\", alpha=\"0.13\", expect_size=\"37889024\"] \n  9 -> 10 [size =\"37889024\"]\n  10 [size=\"101127680\", alpha=\"0.01\", expect_size=\"40451072\"] \n  10 -> 11 [size =\"40451072\"]\n  11 [size=\"103997440\", alpha=\"0.09\", expect_size=\"41598976\"] \n  11 -> 12 [size =\"41598976\"]\n  12 [size=\"87301120\", alpha=\"0.09\", expect_size=\"34920448\"] \n  12 -> 13 [size =\"34920448\"]\n  13 [size=\"76439040\", alpha=\"0.11\", expect_size=\"30575616\"] \n  13 -> 14 [size =\"30575616\"]\n  14 [size=\"75752960\", alpha=\"0.12\", expect_size=\"30301184\"] \n  14 -> 15 [size =\"30301184\"]\n  15 [size=\"75973120\", alpha=\"0.08\", expect_size=\"30389248\"] \n  15 -> 16 [size =\"30389248\"]\n  16 [size=\"52853760\", alpha=\"0.07\", expect_size=\"21141504\"] \n  16 -> 17 [size =\"21141504\"]\n  17 [size=\"23434240\", alpha=\"0.19\", expect_size=\"9373696\"] \n  17 -> 18 [size =\"9373696\"]\n  18 [size=\"126407680\", alpha=\"0.18\", expect_size=\"50563072\"] \n  18 -> 19 [size =\"50563072\"]\n  19 [size=\"19187200\", alpha=\"0.00\", expect_size=\"7674880\"] \n  19 -> 20 [size =\"7674880\"]\n  20 [size=\"96440320\", alpha=\"0.10\", expect_size=\"38576128\"] \n  20 -> 21 [size =\"38576128\"]\n  21 [size=\"102886400\", alpha=\"0.06\", expect_size=\"41154560\"] \n  21 -> 22 [size =\"41154560\"]\n  22 [size=\"38384640\", alpha=\"0.11\", expect_size=\"15353856\"] \n  22 -> 23 [size =\"15353856\"]\n  23 [size=\"92303360\", alpha=\"0.00\", expect_size=\"36921344\"] \n  23 -> 24 [size =\"36921344\"]\n  24 [size=\"38709760\", alpha=\"0.16\", expect_size=\"15483904\"] \n  24 -> 25 [size =\"15483904\"]\n  25 [size=\"108070400\", alpha=\"0.00\", expect_size=\"43228160\"] \n  25 -> 26 [size =\"43228160\"]\n  26 [size=\"37199360\", alpha=\"0.08\", expect_size=\"14879744\"] \n  26 -> 27 [size =\"14879744\"]\n  27 [size=\"77885440\", alpha=\"0.12\", expect_size=\"31154176\"] \n  27 -> 28 [size =\"31154176\"]\n  28 [size=\"73569280\", alpha=\"0.18\", expect_size=\"29427712\"] \n  28 -> 29 [size =\"29427712\"]\n  29 [size=\"63618560\", alpha=\"0.18\", expect_size=\"25447424\"] \n  29 -> 30 [size =\"25447424\"]\n  30 [size=\"64716800\", alpha=\"0.12\", expect_size=\"25886720\"] \n  30 -> 31 [size =\"25886720\"]\n  31 [size=\"122611200\", alpha=\"0.02\", expect_size=\"49044480\"] \n  31 -> 32 [size =\"49044480\"]\n  32 [size=\"42424320\", alpha=\"0.04\", expect_size=\"16969728\"] \n  32 -> 33 [size =\"16969728\"]\n  33 [size=\"106908160\", alpha=\"0.18\", expect_size=\"42763264\"] \n  33 -> 34 [size =\"42763264\"]\n  34 [size=\"109032960\", alpha=\"0.01\", expect_size=\"43613184\"] \n  34 -> 35 [size =\"43613184\"]\n  35 [size=\"86850560\", alpha=\"0.16\", expect_size=\"34740224\"] \n  35 -> 36 [size =\"34740224\"]\n  36 [size=\"87270400\", alpha=\"0.17\", expect_size=\"34908160\"] \n  36 -> 37 [size =\"34908160\"]\n  37 [size=\"15813120\", alpha=\"0.00\", expect_size=\"6325248\"] \n  37 -> 38 [size =\"6325248\"]\n  38 [size=\"88872960\", alpha=\"0.02\", expect_size=\"35549184\"] \n  38 -> 39 [size =\"35549184\"]\n  39 [size=\"77588480\", alpha=\"0.05\", expect_size=\"31035392\"] \n  39 -> 40 [size =\"31035392\"]\n  40 [size=\"63577600\", alpha=\"0.03\", expect_size=\"25431040\"] \n  40 -> 41 [size =\"25431040\"]\n  41 [size=\"16898560\", alpha=\"0.15\", expect_size=\"6759424\"] \n  41 -> 42 [size =\"6759424\"]\n  42 [size=\"28439040\", alpha=\"0.12\", expect_size=\"11375616\"] \n  42 -> 43 [size =\"11375616\"]\n  43 [size=\"54428160\", alpha=\"0.02\", expect_size=\"21771264\"] \n  43 -> 44 [size =\"21771264\"]\n  44 [size=\"40235520\", alpha=\"0.17\", expect_size=\"16094208\"] \n  44 -> 45 [size =\"16094208\"]\n  45 [size=\"48506880\", alpha=\"0.08\", expect_size=\"19402752\"] \n  45 -> 46 [size =\"19402752\"]\n  46 [size=\"24145920\", alpha=\"0.02\", expect_size=\"9658368\"] \n  46 -> 47 [size =\"9658368\"]\n  47 [size=\"124864000\", alpha=\"0.08\", expect_size=\"49945600\"] \n  47 -> 48 [size =\"49945600\"]\n  48 [size=\"125058560\", alpha=\"0.04\", expect_size=\"50023424\"] \n  48 -> 49 [size =\"50023424\"]\n  49 [size=\"20067840\", alpha=\"0.09\", expect_size=\"8027136\"] \n  49 -> 50 [size =\"8027136\"]\n  50 [size=\"51906560\", alpha=\"0.02\", expect_size=\"20762624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.684.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42183680\", alpha=\"0.11\", expect_size=\"16873472\"] \n  1 -> 14 [size =\"16873472\"]\n  1 -> 21 [size =\"16873472\"]\n  1 -> 25 [size =\"16873472\"]\n  2 [size=\"89041920\", alpha=\"0.15\", expect_size=\"35616768\"] \n  2 -> 19 [size =\"35616768\"]\n  2 -> 20 [size =\"35616768\"]\n  2 -> 21 [size =\"35616768\"]\n  2 -> 23 [size =\"35616768\"]\n  3 [size=\"36449280\", alpha=\"0.15\", expect_size=\"14579712\"] \n  3 -> 18 [size =\"14579712\"]\n  3 -> 19 [size =\"14579712\"]\n  3 -> 20 [size =\"14579712\"]\n  3 -> 21 [size =\"14579712\"]\n  3 -> 23 [size =\"14579712\"]\n  3 -> 24 [size =\"14579712\"]\n  3 -> 27 [size =\"14579712\"]\n  4 [size=\"64130560\", alpha=\"0.07\", expect_size=\"25652224\"] \n  4 -> 13 [size =\"25652224\"]\n  4 -> 15 [size =\"25652224\"]\n  4 -> 16 [size =\"25652224\"]\n  4 -> 19 [size =\"25652224\"]\n  4 -> 21 [size =\"25652224\"]\n  4 -> 22 [size =\"25652224\"]\n  4 -> 23 [size =\"25652224\"]\n  4 -> 24 [size =\"25652224\"]\n  4 -> 26 [size =\"25652224\"]\n  4 -> 28 [size =\"25652224\"]\n  5 [size=\"28999680\", alpha=\"0.08\", expect_size=\"11599872\"] \n  5 -> 16 [size =\"11599872\"]\n  5 -> 17 [size =\"11599872\"]\n  5 -> 18 [size =\"11599872\"]\n  5 -> 21 [size =\"11599872\"]\n  5 -> 23 [size =\"11599872\"]\n  5 -> 24 [size =\"11599872\"]\n  5 -> 26 [size =\"11599872\"]\n  5 -> 28 [size =\"11599872\"]\n  6 [size=\"109084160\", alpha=\"0.09\", expect_size=\"43633664\"] \n  6 -> 16 [size =\"43633664\"]\n  6 -> 19 [size =\"43633664\"]\n  6 -> 20 [size =\"43633664\"]\n  6 -> 21 [size =\"43633664\"]\n  6 -> 24 [size =\"43633664\"]\n  6 -> 24 [size =\"43633664\"]\n  6 -> 26 [size =\"43633664\"]\n  6 -> 27 [size =\"43633664\"]\n  6 -> 28 [size =\"43633664\"]\n  7 [size=\"70865920\", alpha=\"0.11\", expect_size=\"28346368\"] \n  7 -> 14 [size =\"28346368\"]\n  7 -> 15 [size =\"28346368\"]\n  7 -> 20 [size =\"28346368\"]\n  7 -> 21 [size =\"28346368\"]\n  7 -> 24 [size =\"28346368\"]\n  7 -> 26 [size =\"28346368\"]\n  7 -> 27 [size =\"28346368\"]\n  7 -> 28 [size =\"28346368\"]\n  8 [size=\"54174720\", alpha=\"0.00\", expect_size=\"21669888\"] \n  8 -> 20 [size =\"21669888\"]\n  8 -> 24 [size =\"21669888\"]\n  8 -> 26 [size =\"21669888\"]\n  8 -> 27 [size =\"21669888\"]\n  9 [size=\"49871360\", alpha=\"0.16\", expect_size=\"19948544\"] \n  9 -> 18 [size =\"19948544\"]\n  9 -> 20 [size =\"19948544\"]\n  9 -> 22 [size =\"19948544\"]\n  9 -> 23 [size =\"19948544\"]\n  9 -> 25 [size =\"19948544\"]\n  9 -> 27 [size =\"19948544\"]\n  9 -> 28 [size =\"19948544\"]\n  10 [size=\"76195840\", alpha=\"0.04\", expect_size=\"30478336\"] \n  10 -> 14 [size =\"30478336\"]\n  10 -> 15 [size =\"30478336\"]\n  10 -> 18 [size =\"30478336\"]\n  10 -> 19 [size =\"30478336\"]\n  10 -> 21 [size =\"30478336\"]\n  10 -> 22 [size =\"30478336\"]\n  10 -> 23 [size =\"30478336\"]\n  10 -> 27 [size =\"30478336\"]\n  10 -> 28 [size =\"30478336\"]\n  11 [size=\"61708800\", alpha=\"0.16\", expect_size=\"24683520\"] \n  11 -> 14 [size =\"24683520\"]\n  11 -> 15 [size =\"24683520\"]\n  11 -> 18 [size =\"24683520\"]\n  11 -> 19 [size =\"24683520\"]\n  11 -> 22 [size =\"24683520\"]\n  11 -> 22 [size =\"24683520\"]\n  11 -> 23 [size =\"24683520\"]\n  11 -> 26 [size =\"24683520\"]\n  12 [size=\"128773120\", alpha=\"0.12\", expect_size=\"51509248\"] \n  12 -> 14 [size =\"51509248\"]\n  12 -> 18 [size =\"51509248\"]\n  12 -> 19 [size =\"51509248\"]\n  12 -> 22 [size =\"51509248\"]\n  12 -> 22 [size =\"51509248\"]\n  12 -> 26 [size =\"51509248\"]\n  12 -> 27 [size =\"51509248\"]\n  13 [size=\"102197760\", alpha=\"0.01\", expect_size=\"40879104\"] \n  13 -> 29 [size =\"40879104\"]\n  13 -> 37 [size =\"40879104\"]\n  13 -> 40 [size =\"40879104\"]\n  14 [size=\"70008320\", alpha=\"0.08\", expect_size=\"28003328\"] \n  14 -> 33 [size =\"28003328\"]\n  14 -> 34 [size =\"28003328\"]\n  14 -> 35 [size =\"28003328\"]\n  14 -> 37 [size =\"28003328\"]\n  14 -> 41 [size =\"28003328\"]\n  15 [size=\"112870400\", alpha=\"0.16\", expect_size=\"45148160\"] \n  15 -> 29 [size =\"45148160\"]\n  15 -> 31 [size =\"45148160\"]\n  15 -> 35 [size =\"45148160\"]\n  16 [size=\"40043520\", alpha=\"0.09\", expect_size=\"16017408\"] \n  16 -> 29 [size =\"16017408\"]\n  16 -> 30 [size =\"16017408\"]\n  16 -> 35 [size =\"16017408\"]\n  16 -> 38 [size =\"16017408\"]\n  16 -> 42 [size =\"16017408\"]\n  17 [size=\"95974400\", alpha=\"0.07\", expect_size=\"38389760\"] \n  17 -> 29 [size =\"38389760\"]\n  17 -> 30 [size =\"38389760\"]\n  17 -> 35 [size =\"38389760\"]\n  17 -> 38 [size =\"38389760\"]\n  17 -> 39 [size =\"38389760\"]\n  18 [size=\"42490880\", alpha=\"0.18\", expect_size=\"16996352\"] \n  18 -> 29 [size =\"16996352\"]\n  18 -> 35 [size =\"16996352\"]\n  18 -> 35 [size =\"16996352\"]\n  18 -> 37 [size =\"16996352\"]\n  19 [size=\"45204480\", alpha=\"0.01\", expect_size=\"18081792\"] \n  19 -> 30 [size =\"18081792\"]\n  19 -> 35 [size =\"18081792\"]\n  19 -> 36 [size =\"18081792\"]\n  19 -> 37 [size =\"18081792\"]\n  19 -> 38 [size =\"18081792\"]\n  19 -> 39 [size =\"18081792\"]\n  20 [size=\"20989440\", alpha=\"0.17\", expect_size=\"8395776\"] \n  20 -> 31 [size =\"8395776\"]\n  20 -> 33 [size =\"8395776\"]\n  20 -> 38 [size =\"8395776\"]\n  20 -> 39 [size =\"8395776\"]\n  21 [size=\"45255680\", alpha=\"0.18\", expect_size=\"18102272\"] \n  21 -> 29 [size =\"18102272\"]\n  21 -> 31 [size =\"18102272\"]\n  21 -> 33 [size =\"18102272\"]\n  21 -> 34 [size =\"18102272\"]\n  21 -> 35 [size =\"18102272\"]\n  21 -> 38 [size =\"18102272\"]\n  21 -> 39 [size =\"18102272\"]\n  21 -> 41 [size =\"18102272\"]\n  21 -> 42 [size =\"18102272\"]\n  22 [size=\"22284800\", alpha=\"0.11\", expect_size=\"8913920\"] \n  22 -> 32 [size =\"8913920\"]\n  22 -> 37 [size =\"8913920\"]\n  22 -> 40 [size =\"8913920\"]\n  23 [size=\"94023680\", alpha=\"0.09\", expect_size=\"37609472\"] \n  23 -> 31 [size =\"37609472\"]\n  23 -> 33 [size =\"37609472\"]\n  23 -> 34 [size =\"37609472\"]\n  23 -> 38 [size =\"37609472\"]\n  23 -> 39 [size =\"37609472\"]\n  23 -> 40 [size =\"37609472\"]\n  24 [size=\"99601920\", alpha=\"0.15\", expect_size=\"39840768\"] \n  24 -> 29 [size =\"39840768\"]\n  24 -> 30 [size =\"39840768\"]\n  24 -> 31 [size =\"39840768\"]\n  24 -> 33 [size =\"39840768\"]\n  24 -> 42 [size =\"39840768\"]\n  25 [size=\"28774400\", alpha=\"0.04\", expect_size=\"11509760\"] \n  25 -> 33 [size =\"11509760\"]\n  25 -> 37 [size =\"11509760\"]\n  25 -> 38 [size =\"11509760\"]\n  25 -> 42 [size =\"11509760\"]\n  26 [size=\"122214400\", alpha=\"0.09\", expect_size=\"48885760\"] \n  26 -> 31 [size =\"48885760\"]\n  26 -> 33 [size =\"48885760\"]\n  26 -> 35 [size =\"48885760\"]\n  26 -> 37 [size =\"48885760\"]\n  26 -> 38 [size =\"48885760\"]\n  27 [size=\"59609600\", alpha=\"0.04\", expect_size=\"23843840\"] \n  27 -> 32 [size =\"23843840\"]\n  27 -> 37 [size =\"23843840\"]\n  27 -> 39 [size =\"23843840\"]\n  27 -> 40 [size =\"23843840\"]\n  27 -> 41 [size =\"23843840\"]\n  28 [size=\"101729280\", alpha=\"0.06\", expect_size=\"40691712\"] \n  28 -> 38 [size =\"40691712\"]\n  28 -> 41 [size =\"40691712\"]\n  29 [size=\"91033600\", alpha=\"0.14\", expect_size=\"36413440\"] \n  29 -> 43 [size =\"36413440\"]\n  29 -> 44 [size =\"36413440\"]\n  29 -> 48 [size =\"36413440\"]\n  30 [size=\"96698880\", alpha=\"0.13\", expect_size=\"38679552\"] \n  30 -> 44 [size =\"38679552\"]\n  30 -> 46 [size =\"38679552\"]\n  31 [size=\"77706240\", alpha=\"0.00\", expect_size=\"31082496\"] \n  31 -> 45 [size =\"31082496\"]\n  31 -> 48 [size =\"31082496\"]\n  31 -> 50 [size =\"31082496\"]\n  32 [size=\"63137280\", alpha=\"0.07\", expect_size=\"25254912\"] \n  32 -> 47 [size =\"25254912\"]\n  32 -> 49 [size =\"25254912\"]\n  32 -> 50 [size =\"25254912\"]\n  33 [size=\"128924160\", alpha=\"0.09\", expect_size=\"51569664\"] \n  33 -> 49 [size =\"51569664\"]\n  34 [size=\"62484480\", alpha=\"0.00\", expect_size=\"24993792\"] \n  34 -> 44 [size =\"24993792\"]\n  34 -> 48 [size =\"24993792\"]\n  34 -> 49 [size =\"24993792\"]\n  34 -> 50 [size =\"24993792\"]\n  35 [size=\"32803840\", alpha=\"0.09\", expect_size=\"13121536\"] \n  35 -> 47 [size =\"13121536\"]\n  35 -> 49 [size =\"13121536\"]\n  36 [size=\"55779840\", alpha=\"0.02\", expect_size=\"22311936\"] \n  37 [size=\"109424640\", alpha=\"0.09\", expect_size=\"43769856\"] \n  37 -> 44 [size =\"43769856\"]\n  37 -> 46 [size =\"43769856\"]\n  37 -> 48 [size =\"43769856\"]\n  38 [size=\"15569920\", alpha=\"0.01\", expect_size=\"6227968\"] \n  38 -> 44 [size =\"6227968\"]\n  38 -> 46 [size =\"6227968\"]\n  39 [size=\"51215360\", alpha=\"0.18\", expect_size=\"20486144\"] \n  39 -> 44 [size =\"20486144\"]\n  39 -> 45 [size =\"20486144\"]\n  39 -> 47 [size =\"20486144\"]\n  40 [size=\"17192960\", alpha=\"0.17\", expect_size=\"6877184\"] \n  40 -> 48 [size =\"6877184\"]\n  40 -> 49 [size =\"6877184\"]\n  41 [size=\"94558720\", alpha=\"0.01\", expect_size=\"37823488\"] \n  41 -> 49 [size =\"37823488\"]\n  42 [size=\"95987200\", alpha=\"0.07\", expect_size=\"38394880\"] \n  42 -> 44 [size =\"38394880\"]\n  42 -> 47 [size =\"38394880\"]\n  42 -> 48 [size =\"38394880\"]\n  43 [size=\"19179520\", alpha=\"0.06\", expect_size=\"7671808\"] \n  44 [size=\"71193600\", alpha=\"0.01\", expect_size=\"28477440\"] \n  45 [size=\"73000960\", alpha=\"0.17\", expect_size=\"29200384\"] \n  46 [size=\"124367360\", alpha=\"0.13\", expect_size=\"49746944\"] \n  47 [size=\"16302080\", alpha=\"0.16\", expect_size=\"6520832\"] \n  48 [size=\"67599360\", alpha=\"0.14\", expect_size=\"27039744\"] \n  49 [size=\"71715840\", alpha=\"0.06\", expect_size=\"28686336\"] \n  50 [size=\"60748800\", alpha=\"0.11\", expect_size=\"24299520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.685.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15966208\", alpha=\"0.12\", expect_size=\"7983104\"] \n  1 -> 4 [size =\"7983104\"]\n  2 [size=\"55490560\", alpha=\"0.09\", expect_size=\"27745280\"] \n  2 -> 3 [size =\"27745280\"]\n  2 -> 4 [size =\"27745280\"]\n  3 [size=\"93515776\", alpha=\"0.05\", expect_size=\"46757888\"] \n  3 -> 5 [size =\"46757888\"]\n  3 -> 7 [size =\"46757888\"]\n  4 [size=\"103571456\", alpha=\"0.14\", expect_size=\"51785728\"] \n  4 -> 5 [size =\"51785728\"]\n  4 -> 6 [size =\"51785728\"]\n  4 -> 7 [size =\"51785728\"]\n  5 [size=\"57214976\", alpha=\"0.06\", expect_size=\"28607488\"] \n  5 -> 8 [size =\"28607488\"]\n  5 -> 9 [size =\"28607488\"]\n  6 [size=\"13086720\", alpha=\"0.01\", expect_size=\"6543360\"] \n  6 -> 8 [size =\"6543360\"]\n  7 [size=\"98340864\", alpha=\"0.05\", expect_size=\"49170432\"] \n  8 [size=\"27611136\", alpha=\"0.05\", expect_size=\"13805568\"] \n  8 -> 10 [size =\"13805568\"]\n  8 -> 11 [size =\"13805568\"]\n  8 -> 12 [size =\"13805568\"]\n  9 [size=\"57880576\", alpha=\"0.15\", expect_size=\"28940288\"] \n  9 -> 11 [size =\"28940288\"]\n  10 [size=\"48771072\", alpha=\"0.07\", expect_size=\"24385536\"] \n  10 -> 13 [size =\"24385536\"]\n  10 -> 14 [size =\"24385536\"]\n  10 -> 15 [size =\"24385536\"]\n  11 [size=\"77170688\", alpha=\"0.14\", expect_size=\"38585344\"] \n  12 [size=\"39886848\", alpha=\"0.10\", expect_size=\"19943424\"] \n  12 -> 14 [size =\"19943424\"]\n  13 [size=\"81582080\", alpha=\"0.09\", expect_size=\"40791040\"] \n  13 -> 16 [size =\"40791040\"]\n  14 [size=\"103325696\", alpha=\"0.17\", expect_size=\"51662848\"] \n  15 [size=\"75169792\", alpha=\"0.05\", expect_size=\"37584896\"] \n  15 -> 17 [size =\"37584896\"]\n  16 [size=\"104196096\", alpha=\"0.19\", expect_size=\"52098048\"] \n  16 -> 18 [size =\"52098048\"]\n  16 -> 20 [size =\"52098048\"]\n  17 [size=\"12738560\", alpha=\"0.11\", expect_size=\"6369280\"] \n  17 -> 18 [size =\"6369280\"]\n  17 -> 19 [size =\"6369280\"]\n  17 -> 20 [size =\"6369280\"]\n  18 [size=\"34924544\", alpha=\"0.03\", expect_size=\"17462272\"] \n  18 -> 23 [size =\"17462272\"]\n  19 [size=\"59086848\", alpha=\"0.01\", expect_size=\"29543424\"] \n  19 -> 21 [size =\"29543424\"]\n  19 -> 22 [size =\"29543424\"]\n  20 [size=\"34150400\", alpha=\"0.14\", expect_size=\"17075200\"] \n  20 -> 23 [size =\"17075200\"]\n  21 [size=\"67293184\", alpha=\"0.08\", expect_size=\"33646592\"] \n  21 -> 26 [size =\"33646592\"]\n  22 [size=\"40888320\", alpha=\"0.11\", expect_size=\"20444160\"] \n  22 -> 24 [size =\"20444160\"]\n  22 -> 25 [size =\"20444160\"]\n  23 [size=\"87646208\", alpha=\"0.12\", expect_size=\"43823104\"] \n  23 -> 25 [size =\"43823104\"]\n  23 -> 25 [size =\"43823104\"]\n  23 -> 26 [size =\"43823104\"]\n  24 [size=\"36161536\", alpha=\"0.13\", expect_size=\"18080768\"] \n  24 -> 27 [size =\"18080768\"]\n  25 [size=\"21612544\", alpha=\"0.04\", expect_size=\"10806272\"] \n  25 -> 28 [size =\"10806272\"]\n  26 [size=\"44800000\", alpha=\"0.15\", expect_size=\"22400000\"] \n  26 -> 27 [size =\"22400000\"]\n  26 -> 28 [size =\"22400000\"]\n  27 [size=\"37773312\", alpha=\"0.05\", expect_size=\"18886656\"] \n  27 -> 29 [size =\"18886656\"]\n  27 -> 30 [size =\"18886656\"]\n  28 [size=\"88436736\", alpha=\"0.19\", expect_size=\"44218368\"] \n  28 -> 29 [size =\"44218368\"]\n  29 [size=\"103819264\", alpha=\"0.02\", expect_size=\"51909632\"] \n  29 -> 31 [size =\"51909632\"]\n  29 -> 32 [size =\"51909632\"]\n  30 [size=\"14561280\", alpha=\"0.14\", expect_size=\"7280640\"] \n  31 [size=\"80021504\", alpha=\"0.20\", expect_size=\"40010752\"] \n  32 [size=\"22566912\", alpha=\"0.12\", expect_size=\"11283456\"] \n  32 -> 33 [size =\"11283456\"]\n  32 -> 34 [size =\"11283456\"]\n  33 [size=\"75945984\", alpha=\"0.19\", expect_size=\"37972992\"] \n  33 -> 35 [size =\"37972992\"]\n  33 -> 36 [size =\"37972992\"]\n  34 [size=\"40075264\", alpha=\"0.06\", expect_size=\"20037632\"] \n  34 -> 35 [size =\"20037632\"]\n  34 -> 36 [size =\"20037632\"]\n  35 [size=\"102414336\", alpha=\"0.06\", expect_size=\"51207168\"] \n  35 -> 37 [size =\"51207168\"]\n  35 -> 38 [size =\"51207168\"]\n  36 [size=\"26574848\", alpha=\"0.06\", expect_size=\"13287424\"] \n  36 -> 37 [size =\"13287424\"]\n  36 -> 38 [size =\"13287424\"]\n  37 [size=\"98275328\", alpha=\"0.07\", expect_size=\"49137664\"] \n  37 -> 39 [size =\"49137664\"]\n  38 [size=\"27887616\", alpha=\"0.13\", expect_size=\"13943808\"] \n  38 -> 39 [size =\"13943808\"]\n  38 -> 40 [size =\"13943808\"]\n  39 [size=\"21280768\", alpha=\"0.10\", expect_size=\"10640384\"] \n  39 -> 41 [size =\"10640384\"]\n  39 -> 42 [size =\"10640384\"]\n  39 -> 43 [size =\"10640384\"]\n  40 [size=\"31477760\", alpha=\"0.11\", expect_size=\"15738880\"] \n  40 -> 43 [size =\"15738880\"]\n  41 [size=\"96765952\", alpha=\"0.04\", expect_size=\"48382976\"] \n  41 -> 44 [size =\"48382976\"]\n  41 -> 45 [size =\"48382976\"]\n  42 [size=\"95088640\", alpha=\"0.04\", expect_size=\"47544320\"] \n  42 -> 44 [size =\"47544320\"]\n  42 -> 45 [size =\"47544320\"]\n  42 -> 46 [size =\"47544320\"]\n  43 [size=\"55842816\", alpha=\"0.00\", expect_size=\"27921408\"] \n  43 -> 44 [size =\"27921408\"]\n  43 -> 45 [size =\"27921408\"]\n  44 [size=\"50130944\", alpha=\"0.02\", expect_size=\"25065472\"] \n  44 -> 48 [size =\"25065472\"]\n  45 [size=\"76414976\", alpha=\"0.06\", expect_size=\"38207488\"] \n  45 -> 47 [size =\"38207488\"]\n  45 -> 49 [size =\"38207488\"]\n  46 [size=\"10643456\", alpha=\"0.17\", expect_size=\"5321728\"] \n  46 -> 47 [size =\"5321728\"]\n  46 -> 48 [size =\"5321728\"]\n  46 -> 49 [size =\"5321728\"]\n  47 [size=\"40892416\", alpha=\"0.14\", expect_size=\"20446208\"] \n  47 -> 50 [size =\"20446208\"]\n  48 [size=\"75046912\", alpha=\"0.08\", expect_size=\"37523456\"] \n  48 -> 50 [size =\"37523456\"]\n  49 [size=\"43175936\", alpha=\"0.01\", expect_size=\"21587968\"] \n  50 [size=\"88250368\", alpha=\"0.15\", expect_size=\"44125184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.686.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27409920\", alpha=\"0.08\", expect_size=\"10963968\"] \n  1 -> 2 [size =\"10963968\"]\n  2 [size=\"120087040\", alpha=\"0.17\", expect_size=\"48034816\"] \n  2 -> 3 [size =\"48034816\"]\n  3 [size=\"90273280\", alpha=\"0.13\", expect_size=\"36109312\"] \n  3 -> 4 [size =\"36109312\"]\n  4 [size=\"50201600\", alpha=\"0.08\", expect_size=\"20080640\"] \n  4 -> 5 [size =\"20080640\"]\n  5 [size=\"87106560\", alpha=\"0.15\", expect_size=\"34842624\"] \n  5 -> 6 [size =\"34842624\"]\n  6 [size=\"83046400\", alpha=\"0.01\", expect_size=\"33218560\"] \n  6 -> 7 [size =\"33218560\"]\n  7 [size=\"79779840\", alpha=\"0.08\", expect_size=\"31911936\"] \n  7 -> 8 [size =\"31911936\"]\n  8 [size=\"30085120\", alpha=\"0.07\", expect_size=\"12034048\"] \n  8 -> 9 [size =\"12034048\"]\n  9 [size=\"77606400\", alpha=\"0.12\", expect_size=\"31042560\"] \n  9 -> 10 [size =\"31042560\"]\n  10 [size=\"88798720\", alpha=\"0.05\", expect_size=\"35519488\"] \n  10 -> 11 [size =\"35519488\"]\n  11 [size=\"116971520\", alpha=\"0.18\", expect_size=\"46788608\"] \n  11 -> 12 [size =\"46788608\"]\n  12 [size=\"48097280\", alpha=\"0.07\", expect_size=\"19238912\"] \n  12 -> 13 [size =\"19238912\"]\n  13 [size=\"32161280\", alpha=\"0.14\", expect_size=\"12864512\"] \n  13 -> 14 [size =\"12864512\"]\n  14 [size=\"108892160\", alpha=\"0.09\", expect_size=\"43556864\"] \n  14 -> 15 [size =\"43556864\"]\n  15 [size=\"36467200\", alpha=\"0.17\", expect_size=\"14586880\"] \n  15 -> 16 [size =\"14586880\"]\n  16 [size=\"123571200\", alpha=\"0.07\", expect_size=\"49428480\"] \n  16 -> 17 [size =\"49428480\"]\n  17 [size=\"13621760\", alpha=\"0.07\", expect_size=\"5448704\"] \n  17 -> 18 [size =\"5448704\"]\n  18 [size=\"62638080\", alpha=\"0.01\", expect_size=\"25055232\"] \n  18 -> 19 [size =\"25055232\"]\n  19 [size=\"102947840\", alpha=\"0.02\", expect_size=\"41179136\"] \n  19 -> 20 [size =\"41179136\"]\n  20 [size=\"53038080\", alpha=\"0.16\", expect_size=\"21215232\"] \n  20 -> 21 [size =\"21215232\"]\n  21 [size=\"82539520\", alpha=\"0.12\", expect_size=\"33015808\"] \n  21 -> 22 [size =\"33015808\"]\n  22 [size=\"67916800\", alpha=\"0.07\", expect_size=\"27166720\"] \n  22 -> 23 [size =\"27166720\"]\n  23 [size=\"110100480\", alpha=\"0.14\", expect_size=\"44040192\"] \n  23 -> 24 [size =\"44040192\"]\n  24 [size=\"75970560\", alpha=\"0.08\", expect_size=\"30388224\"] \n  24 -> 25 [size =\"30388224\"]\n  25 [size=\"127178240\", alpha=\"0.14\", expect_size=\"50871296\"] \n  25 -> 26 [size =\"50871296\"]\n  26 [size=\"106862080\", alpha=\"0.12\", expect_size=\"42744832\"] \n  26 -> 27 [size =\"42744832\"]\n  27 [size=\"32407040\", alpha=\"0.02\", expect_size=\"12962816\"] \n  27 -> 28 [size =\"12962816\"]\n  28 [size=\"76584960\", alpha=\"0.14\", expect_size=\"30633984\"] \n  28 -> 29 [size =\"30633984\"]\n  29 [size=\"85173760\", alpha=\"0.18\", expect_size=\"34069504\"] \n  29 -> 30 [size =\"34069504\"]\n  30 [size=\"96266240\", alpha=\"0.14\", expect_size=\"38506496\"] \n  30 -> 31 [size =\"38506496\"]\n  31 [size=\"71313920\", alpha=\"0.08\", expect_size=\"28525568\"] \n  31 -> 32 [size =\"28525568\"]\n  32 [size=\"24624640\", alpha=\"0.07\", expect_size=\"9849856\"] \n  32 -> 33 [size =\"9849856\"]\n  33 [size=\"63178240\", alpha=\"0.10\", expect_size=\"25271296\"] \n  33 -> 34 [size =\"25271296\"]\n  34 [size=\"28211200\", alpha=\"0.10\", expect_size=\"11284480\"] \n  34 -> 35 [size =\"11284480\"]\n  35 [size=\"74785280\", alpha=\"0.13\", expect_size=\"29914112\"] \n  35 -> 36 [size =\"29914112\"]\n  36 [size=\"40970240\", alpha=\"0.15\", expect_size=\"16388096\"] \n  36 -> 37 [size =\"16388096\"]\n  37 [size=\"114675200\", alpha=\"0.17\", expect_size=\"45870080\"] \n  37 -> 38 [size =\"45870080\"]\n  38 [size=\"126640640\", alpha=\"0.07\", expect_size=\"50656256\"] \n  38 -> 39 [size =\"50656256\"]\n  39 [size=\"93847040\", alpha=\"0.13\", expect_size=\"37538816\"] \n  39 -> 40 [size =\"37538816\"]\n  40 [size=\"80796160\", alpha=\"0.05\", expect_size=\"32318464\"] \n  40 -> 41 [size =\"32318464\"]\n  41 [size=\"45217280\", alpha=\"0.09\", expect_size=\"18086912\"] \n  41 -> 42 [size =\"18086912\"]\n  42 [size=\"90974720\", alpha=\"0.03\", expect_size=\"36389888\"] \n  42 -> 43 [size =\"36389888\"]\n  43 [size=\"17128960\", alpha=\"0.12\", expect_size=\"6851584\"] \n  43 -> 44 [size =\"6851584\"]\n  44 [size=\"78666240\", alpha=\"0.13\", expect_size=\"31466496\"] \n  44 -> 45 [size =\"31466496\"]\n  45 [size=\"17479680\", alpha=\"0.13\", expect_size=\"6991872\"] \n  45 -> 46 [size =\"6991872\"]\n  46 [size=\"92861440\", alpha=\"0.09\", expect_size=\"37144576\"] \n  46 -> 47 [size =\"37144576\"]\n  47 [size=\"61378560\", alpha=\"0.08\", expect_size=\"24551424\"] \n  47 -> 48 [size =\"24551424\"]\n  48 [size=\"41510400\", alpha=\"0.17\", expect_size=\"16604160\"] \n  48 -> 49 [size =\"16604160\"]\n  49 [size=\"82792960\", alpha=\"0.19\", expect_size=\"33117184\"] \n  49 -> 50 [size =\"33117184\"]\n  50 [size=\"39137280\", alpha=\"0.16\", expect_size=\"15654912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.687.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39293440\", alpha=\"0.17\", expect_size=\"15717376\"] \n  1 -> 37 [size =\"15717376\"]\n  1 -> 38 [size =\"15717376\"]\n  1 -> 39 [size =\"15717376\"]\n  1 -> 41 [size =\"15717376\"]\n  1 -> 45 [size =\"15717376\"]\n  1 -> 45 [size =\"15717376\"]\n  1 -> 46 [size =\"15717376\"]\n  1 -> 49 [size =\"15717376\"]\n  2 [size=\"62497280\", alpha=\"0.08\", expect_size=\"24998912\"] \n  2 -> 36 [size =\"24998912\"]\n  2 -> 37 [size =\"24998912\"]\n  2 -> 38 [size =\"24998912\"]\n  2 -> 40 [size =\"24998912\"]\n  2 -> 44 [size =\"24998912\"]\n  2 -> 45 [size =\"24998912\"]\n  2 -> 46 [size =\"24998912\"]\n  2 -> 49 [size =\"24998912\"]\n  3 [size=\"87288320\", alpha=\"0.05\", expect_size=\"34915328\"] \n  3 -> 37 [size =\"34915328\"]\n  3 -> 38 [size =\"34915328\"]\n  3 -> 39 [size =\"34915328\"]\n  3 -> 40 [size =\"34915328\"]\n  3 -> 41 [size =\"34915328\"]\n  3 -> 44 [size =\"34915328\"]\n  3 -> 46 [size =\"34915328\"]\n  3 -> 48 [size =\"34915328\"]\n  3 -> 49 [size =\"34915328\"]\n  4 [size=\"60549120\", alpha=\"0.15\", expect_size=\"24219648\"] \n  4 -> 37 [size =\"24219648\"]\n  4 -> 38 [size =\"24219648\"]\n  4 -> 39 [size =\"24219648\"]\n  4 -> 40 [size =\"24219648\"]\n  4 -> 43 [size =\"24219648\"]\n  4 -> 44 [size =\"24219648\"]\n  4 -> 48 [size =\"24219648\"]\n  4 -> 48 [size =\"24219648\"]\n  4 -> 49 [size =\"24219648\"]\n  4 -> 50 [size =\"24219648\"]\n  5 [size=\"47541760\", alpha=\"0.14\", expect_size=\"19016704\"] \n  5 -> 37 [size =\"19016704\"]\n  5 -> 38 [size =\"19016704\"]\n  5 -> 39 [size =\"19016704\"]\n  5 -> 40 [size =\"19016704\"]\n  5 -> 44 [size =\"19016704\"]\n  5 -> 44 [size =\"19016704\"]\n  5 -> 46 [size =\"19016704\"]\n  5 -> 48 [size =\"19016704\"]\n  5 -> 49 [size =\"19016704\"]\n  5 -> 50 [size =\"19016704\"]\n  6 [size=\"68085760\", alpha=\"0.15\", expect_size=\"27234304\"] \n  6 -> 37 [size =\"27234304\"]\n  6 -> 38 [size =\"27234304\"]\n  6 -> 39 [size =\"27234304\"]\n  6 -> 40 [size =\"27234304\"]\n  6 -> 44 [size =\"27234304\"]\n  6 -> 45 [size =\"27234304\"]\n  6 -> 47 [size =\"27234304\"]\n  6 -> 49 [size =\"27234304\"]\n  6 -> 49 [size =\"27234304\"]\n  7 [size=\"83507200\", alpha=\"0.14\", expect_size=\"33402880\"] \n  7 -> 37 [size =\"33402880\"]\n  7 -> 38 [size =\"33402880\"]\n  7 -> 40 [size =\"33402880\"]\n  7 -> 40 [size =\"33402880\"]\n  7 -> 41 [size =\"33402880\"]\n  7 -> 43 [size =\"33402880\"]\n  7 -> 44 [size =\"33402880\"]\n  7 -> 49 [size =\"33402880\"]\n  7 -> 50 [size =\"33402880\"]\n  8 [size=\"83517440\", alpha=\"0.04\", expect_size=\"33406976\"] \n  8 -> 38 [size =\"33406976\"]\n  8 -> 38 [size =\"33406976\"]\n  8 -> 44 [size =\"33406976\"]\n  8 -> 45 [size =\"33406976\"]\n  8 -> 48 [size =\"33406976\"]\n  9 [size=\"47267840\", alpha=\"0.07\", expect_size=\"18907136\"] \n  9 -> 38 [size =\"18907136\"]\n  9 -> 44 [size =\"18907136\"]\n  9 -> 44 [size =\"18907136\"]\n  9 -> 45 [size =\"18907136\"]\n  9 -> 47 [size =\"18907136\"]\n  10 [size=\"71605760\", alpha=\"0.04\", expect_size=\"28642304\"] \n  10 -> 36 [size =\"28642304\"]\n  10 -> 41 [size =\"28642304\"]\n  10 -> 44 [size =\"28642304\"]\n  10 -> 45 [size =\"28642304\"]\n  10 -> 46 [size =\"28642304\"]\n  11 [size=\"27399680\", alpha=\"0.10\", expect_size=\"10959872\"] \n  11 -> 36 [size =\"10959872\"]\n  11 -> 37 [size =\"10959872\"]\n  11 -> 38 [size =\"10959872\"]\n  11 -> 44 [size =\"10959872\"]\n  11 -> 45 [size =\"10959872\"]\n  11 -> 46 [size =\"10959872\"]\n  11 -> 49 [size =\"10959872\"]\n  12 [size=\"126968320\", alpha=\"0.05\", expect_size=\"50787328\"] \n  12 -> 36 [size =\"50787328\"]\n  12 -> 41 [size =\"50787328\"]\n  12 -> 44 [size =\"50787328\"]\n  12 -> 44 [size =\"50787328\"]\n  12 -> 45 [size =\"50787328\"]\n  12 -> 48 [size =\"50787328\"]\n  12 -> 49 [size =\"50787328\"]\n  13 [size=\"56880640\", alpha=\"0.10\", expect_size=\"22752256\"] \n  13 -> 37 [size =\"22752256\"]\n  13 -> 38 [size =\"22752256\"]\n  13 -> 39 [size =\"22752256\"]\n  13 -> 41 [size =\"22752256\"]\n  13 -> 44 [size =\"22752256\"]\n  13 -> 45 [size =\"22752256\"]\n  13 -> 46 [size =\"22752256\"]\n  13 -> 49 [size =\"22752256\"]\n  14 [size=\"85788160\", alpha=\"0.03\", expect_size=\"34315264\"] \n  14 -> 40 [size =\"34315264\"]\n  14 -> 43 [size =\"34315264\"]\n  14 -> 45 [size =\"34315264\"]\n  14 -> 46 [size =\"34315264\"]\n  14 -> 47 [size =\"34315264\"]\n  14 -> 48 [size =\"34315264\"]\n  14 -> 49 [size =\"34315264\"]\n  14 -> 50 [size =\"34315264\"]\n  15 [size=\"54133760\", alpha=\"0.15\", expect_size=\"21653504\"] \n  15 -> 36 [size =\"21653504\"]\n  15 -> 37 [size =\"21653504\"]\n  15 -> 38 [size =\"21653504\"]\n  15 -> 41 [size =\"21653504\"]\n  15 -> 43 [size =\"21653504\"]\n  15 -> 45 [size =\"21653504\"]\n  15 -> 46 [size =\"21653504\"]\n  15 -> 48 [size =\"21653504\"]\n  16 [size=\"19998720\", alpha=\"0.15\", expect_size=\"7999488\"] \n  16 -> 40 [size =\"7999488\"]\n  16 -> 41 [size =\"7999488\"]\n  17 [size=\"110632960\", alpha=\"0.11\", expect_size=\"44253184\"] \n  17 -> 37 [size =\"44253184\"]\n  17 -> 40 [size =\"44253184\"]\n  17 -> 41 [size =\"44253184\"]\n  17 -> 43 [size =\"44253184\"]\n  17 -> 45 [size =\"44253184\"]\n  17 -> 46 [size =\"44253184\"]\n  17 -> 50 [size =\"44253184\"]\n  18 [size=\"73722880\", alpha=\"0.09\", expect_size=\"29489152\"] \n  18 -> 37 [size =\"29489152\"]\n  18 -> 38 [size =\"29489152\"]\n  18 -> 40 [size =\"29489152\"]\n  18 -> 41 [size =\"29489152\"]\n  18 -> 46 [size =\"29489152\"]\n  18 -> 48 [size =\"29489152\"]\n  18 -> 50 [size =\"29489152\"]\n  19 [size=\"97425920\", alpha=\"0.13\", expect_size=\"38970368\"] \n  19 -> 36 [size =\"38970368\"]\n  19 -> 38 [size =\"38970368\"]\n  19 -> 40 [size =\"38970368\"]\n  19 -> 41 [size =\"38970368\"]\n  19 -> 44 [size =\"38970368\"]\n  19 -> 48 [size =\"38970368\"]\n  20 [size=\"19507200\", alpha=\"0.12\", expect_size=\"7802880\"] \n  20 -> 37 [size =\"7802880\"]\n  20 -> 38 [size =\"7802880\"]\n  20 -> 40 [size =\"7802880\"]\n  20 -> 41 [size =\"7802880\"]\n  20 -> 43 [size =\"7802880\"]\n  20 -> 44 [size =\"7802880\"]\n  20 -> 48 [size =\"7802880\"]\n  20 -> 50 [size =\"7802880\"]\n  21 [size=\"44001280\", alpha=\"0.16\", expect_size=\"17600512\"] \n  21 -> 37 [size =\"17600512\"]\n  21 -> 38 [size =\"17600512\"]\n  21 -> 44 [size =\"17600512\"]\n  21 -> 46 [size =\"17600512\"]\n  21 -> 49 [size =\"17600512\"]\n  21 -> 50 [size =\"17600512\"]\n  22 [size=\"102904320\", alpha=\"0.08\", expect_size=\"41161728\"] \n  22 -> 37 [size =\"41161728\"]\n  22 -> 39 [size =\"41161728\"]\n  22 -> 44 [size =\"41161728\"]\n  22 -> 46 [size =\"41161728\"]\n  22 -> 48 [size =\"41161728\"]\n  23 [size=\"129648640\", alpha=\"0.12\", expect_size=\"51859456\"] \n  23 -> 37 [size =\"51859456\"]\n  23 -> 38 [size =\"51859456\"]\n  23 -> 39 [size =\"51859456\"]\n  23 -> 41 [size =\"51859456\"]\n  23 -> 44 [size =\"51859456\"]\n  23 -> 45 [size =\"51859456\"]\n  24 [size=\"70781440\", alpha=\"0.05\", expect_size=\"28312576\"] \n  24 -> 36 [size =\"28312576\"]\n  24 -> 37 [size =\"28312576\"]\n  24 -> 39 [size =\"28312576\"]\n  24 -> 41 [size =\"28312576\"]\n  24 -> 42 [size =\"28312576\"]\n  24 -> 44 [size =\"28312576\"]\n  24 -> 49 [size =\"28312576\"]\n  24 -> 50 [size =\"28312576\"]\n  25 [size=\"85647360\", alpha=\"0.04\", expect_size=\"34258944\"] \n  25 -> 37 [size =\"34258944\"]\n  25 -> 38 [size =\"34258944\"]\n  25 -> 39 [size =\"34258944\"]\n  25 -> 40 [size =\"34258944\"]\n  25 -> 44 [size =\"34258944\"]\n  25 -> 46 [size =\"34258944\"]\n  25 -> 47 [size =\"34258944\"]\n  26 [size=\"54453760\", alpha=\"0.12\", expect_size=\"21781504\"] \n  26 -> 36 [size =\"21781504\"]\n  26 -> 37 [size =\"21781504\"]\n  26 -> 38 [size =\"21781504\"]\n  26 -> 39 [size =\"21781504\"]\n  26 -> 40 [size =\"21781504\"]\n  26 -> 44 [size =\"21781504\"]\n  26 -> 48 [size =\"21781504\"]\n  27 [size=\"26629120\", alpha=\"0.12\", expect_size=\"10651648\"] \n  27 -> 37 [size =\"10651648\"]\n  27 -> 37 [size =\"10651648\"]\n  27 -> 38 [size =\"10651648\"]\n  27 -> 40 [size =\"10651648\"]\n  27 -> 40 [size =\"10651648\"]\n  27 -> 41 [size =\"10651648\"]\n  27 -> 46 [size =\"10651648\"]\n  27 -> 50 [size =\"10651648\"]\n  28 [size=\"91289600\", alpha=\"0.03\", expect_size=\"36515840\"] \n  28 -> 38 [size =\"36515840\"]\n  28 -> 40 [size =\"36515840\"]\n  28 -> 41 [size =\"36515840\"]\n  28 -> 45 [size =\"36515840\"]\n  28 -> 49 [size =\"36515840\"]\n  28 -> 50 [size =\"36515840\"]\n  29 [size=\"26900480\", alpha=\"0.01\", expect_size=\"10760192\"] \n  29 -> 38 [size =\"10760192\"]\n  29 -> 40 [size =\"10760192\"]\n  29 -> 41 [size =\"10760192\"]\n  29 -> 44 [size =\"10760192\"]\n  29 -> 45 [size =\"10760192\"]\n  29 -> 46 [size =\"10760192\"]\n  30 [size=\"101081600\", alpha=\"0.08\", expect_size=\"40432640\"] \n  30 -> 37 [size =\"40432640\"]\n  30 -> 38 [size =\"40432640\"]\n  30 -> 40 [size =\"40432640\"]\n  30 -> 41 [size =\"40432640\"]\n  30 -> 45 [size =\"40432640\"]\n  30 -> 47 [size =\"40432640\"]\n  30 -> 49 [size =\"40432640\"]\n  30 -> 50 [size =\"40432640\"]\n  31 [size=\"53248000\", alpha=\"0.18\", expect_size=\"21299200\"] \n  31 -> 37 [size =\"21299200\"]\n  31 -> 38 [size =\"21299200\"]\n  31 -> 45 [size =\"21299200\"]\n  31 -> 47 [size =\"21299200\"]\n  31 -> 50 [size =\"21299200\"]\n  32 [size=\"27548160\", alpha=\"0.08\", expect_size=\"11019264\"] \n  32 -> 36 [size =\"11019264\"]\n  32 -> 38 [size =\"11019264\"]\n  32 -> 41 [size =\"11019264\"]\n  32 -> 43 [size =\"11019264\"]\n  32 -> 45 [size =\"11019264\"]\n  33 [size=\"73372160\", alpha=\"0.04\", expect_size=\"29348864\"] \n  33 -> 36 [size =\"29348864\"]\n  33 -> 38 [size =\"29348864\"]\n  33 -> 40 [size =\"29348864\"]\n  33 -> 41 [size =\"29348864\"]\n  33 -> 45 [size =\"29348864\"]\n  33 -> 46 [size =\"29348864\"]\n  33 -> 48 [size =\"29348864\"]\n  34 [size=\"28979200\", alpha=\"0.13\", expect_size=\"11591680\"] \n  34 -> 36 [size =\"11591680\"]\n  34 -> 37 [size =\"11591680\"]\n  34 -> 38 [size =\"11591680\"]\n  34 -> 39 [size =\"11591680\"]\n  34 -> 40 [size =\"11591680\"]\n  34 -> 41 [size =\"11591680\"]\n  34 -> 44 [size =\"11591680\"]\n  34 -> 45 [size =\"11591680\"]\n  34 -> 46 [size =\"11591680\"]\n  34 -> 48 [size =\"11591680\"]\n  35 [size=\"59773440\", alpha=\"0.09\", expect_size=\"23909376\"] \n  35 -> 37 [size =\"23909376\"]\n  35 -> 37 [size =\"23909376\"]\n  35 -> 38 [size =\"23909376\"]\n  35 -> 41 [size =\"23909376\"]\n  35 -> 43 [size =\"23909376\"]\n  35 -> 45 [size =\"23909376\"]\n  35 -> 46 [size =\"23909376\"]\n  35 -> 50 [size =\"23909376\"]\n  36 [size=\"82227200\", alpha=\"0.06\", expect_size=\"32890880\"] \n  37 [size=\"33354240\", alpha=\"0.20\", expect_size=\"13341696\"] \n  38 [size=\"101524480\", alpha=\"0.04\", expect_size=\"40609792\"] \n  39 [size=\"121216000\", alpha=\"0.02\", expect_size=\"48486400\"] \n  40 [size=\"126594560\", alpha=\"0.01\", expect_size=\"50637824\"] \n  41 [size=\"58191360\", alpha=\"0.06\", expect_size=\"23276544\"] \n  42 [size=\"48266240\", alpha=\"0.05\", expect_size=\"19306496\"] \n  43 [size=\"92718080\", alpha=\"0.05\", expect_size=\"37087232\"] \n  44 [size=\"117355520\", alpha=\"0.14\", expect_size=\"46942208\"] \n  45 [size=\"76894720\", alpha=\"0.16\", expect_size=\"30757888\"] \n  46 [size=\"130332160\", alpha=\"0.04\", expect_size=\"52132864\"] \n  47 [size=\"48629760\", alpha=\"0.15\", expect_size=\"19451904\"] \n  48 [size=\"47278080\", alpha=\"0.19\", expect_size=\"18911232\"] \n  49 [size=\"68928000\", alpha=\"0.06\", expect_size=\"27571200\"] \n  50 [size=\"79936000\", alpha=\"0.07\", expect_size=\"31974400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.688.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41367040\", alpha=\"0.15\", expect_size=\"16546816\"] \n  1 -> 9 [size =\"16546816\"]\n  1 -> 10 [size =\"16546816\"]\n  2 [size=\"39718400\", alpha=\"0.17\", expect_size=\"15887360\"] \n  2 -> 6 [size =\"15887360\"]\n  2 -> 11 [size =\"15887360\"]\n  3 [size=\"45501440\", alpha=\"0.11\", expect_size=\"18200576\"] \n  3 -> 6 [size =\"18200576\"]\n  3 -> 7 [size =\"18200576\"]\n  3 -> 12 [size =\"18200576\"]\n  3 -> 13 [size =\"18200576\"]\n  4 [size=\"71375360\", alpha=\"0.02\", expect_size=\"28550144\"] \n  4 -> 6 [size =\"28550144\"]\n  4 -> 7 [size =\"28550144\"]\n  4 -> 8 [size =\"28550144\"]\n  4 -> 12 [size =\"28550144\"]\n  5 [size=\"41495040\", alpha=\"0.12\", expect_size=\"16598016\"] \n  5 -> 7 [size =\"16598016\"]\n  5 -> 9 [size =\"16598016\"]\n  5 -> 12 [size =\"16598016\"]\n  6 [size=\"52981760\", alpha=\"0.03\", expect_size=\"21192704\"] \n  6 -> 16 [size =\"21192704\"]\n  6 -> 21 [size =\"21192704\"]\n  7 [size=\"37611520\", alpha=\"0.10\", expect_size=\"15044608\"] \n  7 -> 15 [size =\"15044608\"]\n  7 -> 16 [size =\"15044608\"]\n  7 -> 18 [size =\"15044608\"]\n  7 -> 19 [size =\"15044608\"]\n  7 -> 20 [size =\"15044608\"]\n  8 [size=\"86464000\", alpha=\"0.12\", expect_size=\"34585600\"] \n  8 -> 15 [size =\"34585600\"]\n  8 -> 17 [size =\"34585600\"]\n  8 -> 18 [size =\"34585600\"]\n  8 -> 19 [size =\"34585600\"]\n  9 [size=\"80688640\", alpha=\"0.11\", expect_size=\"32275456\"] \n  9 -> 15 [size =\"32275456\"]\n  9 -> 17 [size =\"32275456\"]\n  9 -> 19 [size =\"32275456\"]\n  10 [size=\"105656320\", alpha=\"0.10\", expect_size=\"42262528\"] \n  10 -> 14 [size =\"42262528\"]\n  10 -> 16 [size =\"42262528\"]\n  10 -> 17 [size =\"42262528\"]\n  10 -> 19 [size =\"42262528\"]\n  10 -> 21 [size =\"42262528\"]\n  11 [size=\"105116160\", alpha=\"0.09\", expect_size=\"42046464\"] \n  11 -> 15 [size =\"42046464\"]\n  11 -> 16 [size =\"42046464\"]\n  11 -> 17 [size =\"42046464\"]\n  12 [size=\"77214720\", alpha=\"0.17\", expect_size=\"30885888\"] \n  12 -> 15 [size =\"30885888\"]\n  12 -> 17 [size =\"30885888\"]\n  12 -> 18 [size =\"30885888\"]\n  13 [size=\"57707520\", alpha=\"0.08\", expect_size=\"23083008\"] \n  13 -> 18 [size =\"23083008\"]\n  14 [size=\"125335040\", alpha=\"0.06\", expect_size=\"50134016\"] \n  14 -> 22 [size =\"50134016\"]\n  14 -> 24 [size =\"50134016\"]\n  15 [size=\"18158080\", alpha=\"0.14\", expect_size=\"7263232\"] \n  15 -> 23 [size =\"7263232\"]\n  15 -> 24 [size =\"7263232\"]\n  15 -> 27 [size =\"7263232\"]\n  15 -> 28 [size =\"7263232\"]\n  16 [size=\"88020480\", alpha=\"0.01\", expect_size=\"35208192\"] \n  16 -> 24 [size =\"35208192\"]\n  16 -> 27 [size =\"35208192\"]\n  16 -> 28 [size =\"35208192\"]\n  16 -> 29 [size =\"35208192\"]\n  17 [size=\"106790400\", alpha=\"0.13\", expect_size=\"42716160\"] \n  17 -> 23 [size =\"42716160\"]\n  17 -> 24 [size =\"42716160\"]\n  17 -> 27 [size =\"42716160\"]\n  17 -> 28 [size =\"42716160\"]\n  17 -> 29 [size =\"42716160\"]\n  18 [size=\"50657280\", alpha=\"0.17\", expect_size=\"20262912\"] \n  18 -> 22 [size =\"20262912\"]\n  18 -> 23 [size =\"20262912\"]\n  18 -> 27 [size =\"20262912\"]\n  19 [size=\"122513920\", alpha=\"0.17\", expect_size=\"49005568\"] \n  19 -> 26 [size =\"49005568\"]\n  19 -> 27 [size =\"49005568\"]\n  19 -> 28 [size =\"49005568\"]\n  20 [size=\"68380160\", alpha=\"0.05\", expect_size=\"27352064\"] \n  20 -> 23 [size =\"27352064\"]\n  20 -> 27 [size =\"27352064\"]\n  20 -> 28 [size =\"27352064\"]\n  21 [size=\"126259200\", alpha=\"0.17\", expect_size=\"50503680\"] \n  21 -> 23 [size =\"50503680\"]\n  21 -> 25 [size =\"50503680\"]\n  21 -> 28 [size =\"50503680\"]\n  22 [size=\"59535360\", alpha=\"0.14\", expect_size=\"23814144\"] \n  22 -> 31 [size =\"23814144\"]\n  22 -> 32 [size =\"23814144\"]\n  22 -> 33 [size =\"23814144\"]\n  22 -> 34 [size =\"23814144\"]\n  23 [size=\"43281920\", alpha=\"0.17\", expect_size=\"17312768\"] \n  23 -> 31 [size =\"17312768\"]\n  23 -> 32 [size =\"17312768\"]\n  23 -> 34 [size =\"17312768\"]\n  24 [size=\"89436160\", alpha=\"0.09\", expect_size=\"35774464\"] \n  24 -> 32 [size =\"35774464\"]\n  24 -> 34 [size =\"35774464\"]\n  25 [size=\"125603840\", alpha=\"0.06\", expect_size=\"50241536\"] \n  25 -> 30 [size =\"50241536\"]\n  25 -> 31 [size =\"50241536\"]\n  25 -> 32 [size =\"50241536\"]\n  25 -> 34 [size =\"50241536\"]\n  26 [size=\"90150400\", alpha=\"0.10\", expect_size=\"36060160\"] \n  26 -> 30 [size =\"36060160\"]\n  26 -> 31 [size =\"36060160\"]\n  26 -> 34 [size =\"36060160\"]\n  27 [size=\"97848320\", alpha=\"0.18\", expect_size=\"39139328\"] \n  27 -> 30 [size =\"39139328\"]\n  27 -> 31 [size =\"39139328\"]\n  28 [size=\"54374400\", alpha=\"0.19\", expect_size=\"21749760\"] \n  28 -> 32 [size =\"21749760\"]\n  29 [size=\"34286080\", alpha=\"0.11\", expect_size=\"13714432\"] \n  29 -> 30 [size =\"13714432\"]\n  29 -> 33 [size =\"13714432\"]\n  30 [size=\"17192960\", alpha=\"0.19\", expect_size=\"6877184\"] \n  30 -> 35 [size =\"6877184\"]\n  30 -> 36 [size =\"6877184\"]\n  30 -> 37 [size =\"6877184\"]\n  30 -> 38 [size =\"6877184\"]\n  30 -> 40 [size =\"6877184\"]\n  31 [size=\"45583360\", alpha=\"0.02\", expect_size=\"18233344\"] \n  31 -> 39 [size =\"18233344\"]\n  32 [size=\"29749760\", alpha=\"0.16\", expect_size=\"11899904\"] \n  32 -> 35 [size =\"11899904\"]\n  32 -> 38 [size =\"11899904\"]\n  32 -> 39 [size =\"11899904\"]\n  33 [size=\"114270720\", alpha=\"0.18\", expect_size=\"45708288\"] \n  33 -> 36 [size =\"45708288\"]\n  33 -> 38 [size =\"45708288\"]\n  33 -> 40 [size =\"45708288\"]\n  34 [size=\"95616000\", alpha=\"0.19\", expect_size=\"38246400\"] \n  34 -> 38 [size =\"38246400\"]\n  35 [size=\"32051200\", alpha=\"0.00\", expect_size=\"12820480\"] \n  35 -> 45 [size =\"12820480\"]\n  35 -> 46 [size =\"12820480\"]\n  35 -> 47 [size =\"12820480\"]\n  36 [size=\"69931520\", alpha=\"0.15\", expect_size=\"27972608\"] \n  36 -> 43 [size =\"27972608\"]\n  36 -> 48 [size =\"27972608\"]\n  37 [size=\"13201920\", alpha=\"0.05\", expect_size=\"5280768\"] \n  37 -> 41 [size =\"5280768\"]\n  37 -> 43 [size =\"5280768\"]\n  37 -> 48 [size =\"5280768\"]\n  38 [size=\"122298880\", alpha=\"0.01\", expect_size=\"48919552\"] \n  38 -> 41 [size =\"48919552\"]\n  38 -> 43 [size =\"48919552\"]\n  38 -> 44 [size =\"48919552\"]\n  38 -> 48 [size =\"48919552\"]\n  39 [size=\"116687360\", alpha=\"0.17\", expect_size=\"46674944\"] \n  39 -> 41 [size =\"46674944\"]\n  39 -> 43 [size =\"46674944\"]\n  39 -> 44 [size =\"46674944\"]\n  39 -> 45 [size =\"46674944\"]\n  39 -> 48 [size =\"46674944\"]\n  40 [size=\"63948800\", alpha=\"0.01\", expect_size=\"25579520\"] \n  40 -> 42 [size =\"25579520\"]\n  40 -> 44 [size =\"25579520\"]\n  40 -> 47 [size =\"25579520\"]\n  41 [size=\"56632320\", alpha=\"0.05\", expect_size=\"22652928\"] \n  41 -> 50 [size =\"22652928\"]\n  42 [size=\"68784640\", alpha=\"0.16\", expect_size=\"27513856\"] \n  42 -> 49 [size =\"27513856\"]\n  42 -> 50 [size =\"27513856\"]\n  43 [size=\"46553600\", alpha=\"0.13\", expect_size=\"18621440\"] \n  43 -> 50 [size =\"18621440\"]\n  44 [size=\"34534400\", alpha=\"0.03\", expect_size=\"13813760\"] \n  44 -> 50 [size =\"13813760\"]\n  45 [size=\"26995200\", alpha=\"0.11\", expect_size=\"10798080\"] \n  45 -> 50 [size =\"10798080\"]\n  46 [size=\"28989440\", alpha=\"0.13\", expect_size=\"11595776\"] \n  46 -> 49 [size =\"11595776\"]\n  47 [size=\"115430400\", alpha=\"0.09\", expect_size=\"46172160\"] \n  47 -> 49 [size =\"46172160\"]\n  48 [size=\"26109440\", alpha=\"0.12\", expect_size=\"10443776\"] \n  49 [size=\"34503680\", alpha=\"0.19\", expect_size=\"13801472\"] \n  50 [size=\"14092800\", alpha=\"0.06\", expect_size=\"5637120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.689.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17446912\", alpha=\"0.03\", expect_size=\"8723456\"] \n  1 -> 17 [size =\"8723456\"]\n  1 -> 17 [size =\"8723456\"]\n  1 -> 18 [size =\"8723456\"]\n  1 -> 19 [size =\"8723456\"]\n  1 -> 21 [size =\"8723456\"]\n  1 -> 27 [size =\"8723456\"]\n  1 -> 28 [size =\"8723456\"]\n  1 -> 28 [size =\"8723456\"]\n  1 -> 29 [size =\"8723456\"]\n  2 [size=\"17889280\", alpha=\"0.02\", expect_size=\"8944640\"] \n  2 -> 23 [size =\"8944640\"]\n  2 -> 24 [size =\"8944640\"]\n  2 -> 27 [size =\"8944640\"]\n  2 -> 28 [size =\"8944640\"]\n  2 -> 29 [size =\"8944640\"]\n  3 [size=\"36354048\", alpha=\"0.14\", expect_size=\"18177024\"] \n  3 -> 17 [size =\"18177024\"]\n  3 -> 18 [size =\"18177024\"]\n  3 -> 23 [size =\"18177024\"]\n  3 -> 24 [size =\"18177024\"]\n  3 -> 27 [size =\"18177024\"]\n  3 -> 28 [size =\"18177024\"]\n  3 -> 29 [size =\"18177024\"]\n  4 [size=\"50917376\", alpha=\"0.19\", expect_size=\"25458688\"] \n  4 -> 17 [size =\"25458688\"]\n  4 -> 23 [size =\"25458688\"]\n  4 -> 23 [size =\"25458688\"]\n  4 -> 27 [size =\"25458688\"]\n  4 -> 28 [size =\"25458688\"]\n  4 -> 29 [size =\"25458688\"]\n  4 -> 29 [size =\"25458688\"]\n  5 [size=\"97779712\", alpha=\"0.06\", expect_size=\"48889856\"] \n  5 -> 17 [size =\"48889856\"]\n  5 -> 21 [size =\"48889856\"]\n  5 -> 23 [size =\"48889856\"]\n  5 -> 24 [size =\"48889856\"]\n  6 [size=\"48386048\", alpha=\"0.20\", expect_size=\"24193024\"] \n  6 -> 17 [size =\"24193024\"]\n  6 -> 25 [size =\"24193024\"]\n  6 -> 26 [size =\"24193024\"]\n  6 -> 27 [size =\"24193024\"]\n  6 -> 28 [size =\"24193024\"]\n  7 [size=\"103155712\", alpha=\"0.16\", expect_size=\"51577856\"] \n  7 -> 15 [size =\"51577856\"]\n  7 -> 18 [size =\"51577856\"]\n  7 -> 21 [size =\"51577856\"]\n  7 -> 23 [size =\"51577856\"]\n  7 -> 24 [size =\"51577856\"]\n  7 -> 28 [size =\"51577856\"]\n  8 [size=\"19826688\", alpha=\"0.09\", expect_size=\"9913344\"] \n  8 -> 18 [size =\"9913344\"]\n  8 -> 21 [size =\"9913344\"]\n  8 -> 23 [size =\"9913344\"]\n  8 -> 24 [size =\"9913344\"]\n  8 -> 27 [size =\"9913344\"]\n  8 -> 28 [size =\"9913344\"]\n  8 -> 29 [size =\"9913344\"]\n  9 [size=\"75329536\", alpha=\"0.08\", expect_size=\"37664768\"] \n  9 -> 15 [size =\"37664768\"]\n  9 -> 18 [size =\"37664768\"]\n  9 -> 20 [size =\"37664768\"]\n  9 -> 23 [size =\"37664768\"]\n  10 [size=\"103421952\", alpha=\"0.07\", expect_size=\"51710976\"] \n  10 -> 17 [size =\"51710976\"]\n  10 -> 19 [size =\"51710976\"]\n  10 -> 20 [size =\"51710976\"]\n  10 -> 21 [size =\"51710976\"]\n  10 -> 23 [size =\"51710976\"]\n  10 -> 27 [size =\"51710976\"]\n  10 -> 28 [size =\"51710976\"]\n  10 -> 29 [size =\"51710976\"]\n  11 [size=\"15407104\", alpha=\"0.03\", expect_size=\"7703552\"] \n  11 -> 17 [size =\"7703552\"]\n  11 -> 19 [size =\"7703552\"]\n  11 -> 20 [size =\"7703552\"]\n  11 -> 23 [size =\"7703552\"]\n  11 -> 24 [size =\"7703552\"]\n  11 -> 26 [size =\"7703552\"]\n  11 -> 27 [size =\"7703552\"]\n  11 -> 28 [size =\"7703552\"]\n  12 [size=\"31055872\", alpha=\"0.09\", expect_size=\"15527936\"] \n  12 -> 17 [size =\"15527936\"]\n  12 -> 19 [size =\"15527936\"]\n  12 -> 20 [size =\"15527936\"]\n  12 -> 21 [size =\"15527936\"]\n  12 -> 22 [size =\"15527936\"]\n  12 -> 23 [size =\"15527936\"]\n  12 -> 24 [size =\"15527936\"]\n  12 -> 28 [size =\"15527936\"]\n  12 -> 29 [size =\"15527936\"]\n  13 [size=\"41080832\", alpha=\"0.10\", expect_size=\"20540416\"] \n  13 -> 17 [size =\"20540416\"]\n  13 -> 19 [size =\"20540416\"]\n  13 -> 21 [size =\"20540416\"]\n  13 -> 21 [size =\"20540416\"]\n  13 -> 23 [size =\"20540416\"]\n  13 -> 24 [size =\"20540416\"]\n  13 -> 24 [size =\"20540416\"]\n  13 -> 28 [size =\"20540416\"]\n  13 -> 29 [size =\"20540416\"]\n  14 [size=\"14870528\", alpha=\"0.05\", expect_size=\"7435264\"] \n  14 -> 16 [size =\"7435264\"]\n  14 -> 17 [size =\"7435264\"]\n  14 -> 19 [size =\"7435264\"]\n  14 -> 20 [size =\"7435264\"]\n  14 -> 21 [size =\"7435264\"]\n  14 -> 24 [size =\"7435264\"]\n  14 -> 27 [size =\"7435264\"]\n  14 -> 28 [size =\"7435264\"]\n  14 -> 29 [size =\"7435264\"]\n  15 [size=\"103438336\", alpha=\"0.05\", expect_size=\"51719168\"] \n  15 -> 30 [size =\"51719168\"]\n  15 -> 38 [size =\"51719168\"]\n  15 -> 39 [size =\"51719168\"]\n  15 -> 40 [size =\"51719168\"]\n  15 -> 41 [size =\"51719168\"]\n  15 -> 42 [size =\"51719168\"]\n  15 -> 45 [size =\"51719168\"]\n  16 [size=\"36446208\", alpha=\"0.03\", expect_size=\"18223104\"] \n  16 -> 36 [size =\"18223104\"]\n  16 -> 38 [size =\"18223104\"]\n  16 -> 39 [size =\"18223104\"]\n  16 -> 40 [size =\"18223104\"]\n  16 -> 41 [size =\"18223104\"]\n  17 [size=\"35256320\", alpha=\"0.14\", expect_size=\"17628160\"] \n  17 -> 33 [size =\"17628160\"]\n  17 -> 34 [size =\"17628160\"]\n  17 -> 36 [size =\"17628160\"]\n  17 -> 38 [size =\"17628160\"]\n  17 -> 39 [size =\"17628160\"]\n  17 -> 40 [size =\"17628160\"]\n  17 -> 41 [size =\"17628160\"]\n  17 -> 42 [size =\"17628160\"]\n  17 -> 43 [size =\"17628160\"]\n  18 [size=\"17158144\", alpha=\"0.06\", expect_size=\"8579072\"] \n  18 -> 33 [size =\"8579072\"]\n  18 -> 38 [size =\"8579072\"]\n  18 -> 39 [size =\"8579072\"]\n  18 -> 40 [size =\"8579072\"]\n  18 -> 41 [size =\"8579072\"]\n  18 -> 42 [size =\"8579072\"]\n  18 -> 43 [size =\"8579072\"]\n  18 -> 44 [size =\"8579072\"]\n  19 [size=\"58406912\", alpha=\"0.01\", expect_size=\"29203456\"] \n  19 -> 32 [size =\"29203456\"]\n  19 -> 33 [size =\"29203456\"]\n  19 -> 36 [size =\"29203456\"]\n  19 -> 38 [size =\"29203456\"]\n  19 -> 40 [size =\"29203456\"]\n  19 -> 41 [size =\"29203456\"]\n  19 -> 42 [size =\"29203456\"]\n  20 [size=\"96722944\", alpha=\"0.11\", expect_size=\"48361472\"] \n  20 -> 40 [size =\"48361472\"]\n  20 -> 41 [size =\"48361472\"]\n  20 -> 42 [size =\"48361472\"]\n  21 [size=\"33816576\", alpha=\"0.02\", expect_size=\"16908288\"] \n  21 -> 32 [size =\"16908288\"]\n  21 -> 35 [size =\"16908288\"]\n  21 -> 41 [size =\"16908288\"]\n  21 -> 43 [size =\"16908288\"]\n  21 -> 45 [size =\"16908288\"]\n  22 [size=\"45998080\", alpha=\"0.15\", expect_size=\"22999040\"] \n  22 -> 33 [size =\"22999040\"]\n  22 -> 36 [size =\"22999040\"]\n  22 -> 37 [size =\"22999040\"]\n  22 -> 41 [size =\"22999040\"]\n  22 -> 42 [size =\"22999040\"]\n  22 -> 43 [size =\"22999040\"]\n  23 [size=\"90568704\", alpha=\"0.13\", expect_size=\"45284352\"] \n  23 -> 35 [size =\"45284352\"]\n  23 -> 36 [size =\"45284352\"]\n  23 -> 38 [size =\"45284352\"]\n  23 -> 39 [size =\"45284352\"]\n  23 -> 41 [size =\"45284352\"]\n  23 -> 42 [size =\"45284352\"]\n  23 -> 45 [size =\"45284352\"]\n  24 [size=\"44593152\", alpha=\"0.00\", expect_size=\"22296576\"] \n  24 -> 36 [size =\"22296576\"]\n  24 -> 40 [size =\"22296576\"]\n  24 -> 41 [size =\"22296576\"]\n  24 -> 42 [size =\"22296576\"]\n  25 [size=\"69132288\", alpha=\"0.06\", expect_size=\"34566144\"] \n  25 -> 33 [size =\"34566144\"]\n  25 -> 39 [size =\"34566144\"]\n  25 -> 40 [size =\"34566144\"]\n  25 -> 42 [size =\"34566144\"]\n  26 [size=\"94588928\", alpha=\"0.19\", expect_size=\"47294464\"] \n  26 -> 31 [size =\"47294464\"]\n  26 -> 33 [size =\"47294464\"]\n  26 -> 37 [size =\"47294464\"]\n  26 -> 38 [size =\"47294464\"]\n  26 -> 40 [size =\"47294464\"]\n  26 -> 41 [size =\"47294464\"]\n  27 [size=\"13416448\", alpha=\"0.13\", expect_size=\"6708224\"] \n  27 -> 30 [size =\"6708224\"]\n  27 -> 34 [size =\"6708224\"]\n  27 -> 38 [size =\"6708224\"]\n  27 -> 41 [size =\"6708224\"]\n  27 -> 42 [size =\"6708224\"]\n  27 -> 43 [size =\"6708224\"]\n  28 [size=\"79650816\", alpha=\"0.08\", expect_size=\"39825408\"] \n  28 -> 33 [size =\"39825408\"]\n  28 -> 42 [size =\"39825408\"]\n  28 -> 43 [size =\"39825408\"]\n  29 [size=\"14272512\", alpha=\"0.17\", expect_size=\"7136256\"] \n  29 -> 33 [size =\"7136256\"]\n  29 -> 34 [size =\"7136256\"]\n  29 -> 35 [size =\"7136256\"]\n  29 -> 36 [size =\"7136256\"]\n  29 -> 39 [size =\"7136256\"]\n  29 -> 40 [size =\"7136256\"]\n  29 -> 41 [size =\"7136256\"]\n  29 -> 42 [size =\"7136256\"]\n  29 -> 45 [size =\"7136256\"]\n  30 [size=\"17170432\", alpha=\"0.05\", expect_size=\"8585216\"] \n  30 -> 48 [size =\"8585216\"]\n  30 -> 50 [size =\"8585216\"]\n  31 [size=\"66836480\", alpha=\"0.15\", expect_size=\"33418240\"] \n  31 -> 46 [size =\"33418240\"]\n  31 -> 48 [size =\"33418240\"]\n  31 -> 50 [size =\"33418240\"]\n  32 [size=\"75862016\", alpha=\"0.09\", expect_size=\"37931008\"] \n  32 -> 46 [size =\"37931008\"]\n  32 -> 48 [size =\"37931008\"]\n  32 -> 50 [size =\"37931008\"]\n  33 [size=\"51654656\", alpha=\"0.09\", expect_size=\"25827328\"] \n  33 -> 48 [size =\"25827328\"]\n  33 -> 48 [size =\"25827328\"]\n  33 -> 50 [size =\"25827328\"]\n  34 [size=\"20082688\", alpha=\"0.11\", expect_size=\"10041344\"] \n  34 -> 48 [size =\"10041344\"]\n  34 -> 50 [size =\"10041344\"]\n  35 [size=\"21577728\", alpha=\"0.12\", expect_size=\"10788864\"] \n  35 -> 46 [size =\"10788864\"]\n  35 -> 48 [size =\"10788864\"]\n  35 -> 50 [size =\"10788864\"]\n  36 [size=\"49065984\", alpha=\"0.18\", expect_size=\"24532992\"] \n  37 [size=\"46073856\", alpha=\"0.10\", expect_size=\"23036928\"] \n  37 -> 50 [size =\"23036928\"]\n  38 [size=\"10903552\", alpha=\"0.04\", expect_size=\"5451776\"] \n  38 -> 46 [size =\"5451776\"]\n  38 -> 49 [size =\"5451776\"]\n  38 -> 50 [size =\"5451776\"]\n  39 [size=\"47265792\", alpha=\"0.07\", expect_size=\"23632896\"] \n  39 -> 46 [size =\"23632896\"]\n  39 -> 49 [size =\"23632896\"]\n  40 [size=\"31262720\", alpha=\"0.09\", expect_size=\"15631360\"] \n  40 -> 46 [size =\"15631360\"]\n  40 -> 49 [size =\"15631360\"]\n  40 -> 50 [size =\"15631360\"]\n  41 [size=\"55832576\", alpha=\"0.15\", expect_size=\"27916288\"] \n  42 [size=\"31522816\", alpha=\"0.10\", expect_size=\"15761408\"] \n  42 -> 48 [size =\"15761408\"]\n  42 -> 49 [size =\"15761408\"]\n  42 -> 50 [size =\"15761408\"]\n  43 [size=\"73279488\", alpha=\"0.01\", expect_size=\"36639744\"] \n  43 -> 50 [size =\"36639744\"]\n  44 [size=\"22951936\", alpha=\"0.19\", expect_size=\"11475968\"] \n  44 -> 48 [size =\"11475968\"]\n  44 -> 50 [size =\"11475968\"]\n  45 [size=\"73672704\", alpha=\"0.10\", expect_size=\"36836352\"] \n  45 -> 47 [size =\"36836352\"]\n  45 -> 50 [size =\"36836352\"]\n  46 [size=\"35278848\", alpha=\"0.19\", expect_size=\"17639424\"] \n  47 [size=\"28102656\", alpha=\"0.08\", expect_size=\"14051328\"] \n  48 [size=\"76916736\", alpha=\"0.12\", expect_size=\"38458368\"] \n  49 [size=\"94019584\", alpha=\"0.16\", expect_size=\"47009792\"] \n  50 [size=\"32962560\", alpha=\"0.03\", expect_size=\"16481280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28387840\", alpha=\"0.08\", expect_size=\"11355136\"] \n  1 -> 8 [size =\"11355136\"]\n  1 -> 9 [size =\"11355136\"]\n  1 -> 10 [size =\"11355136\"]\n  1 -> 12 [size =\"11355136\"]\n  2 [size=\"81809920\", alpha=\"0.20\", expect_size=\"32723968\"] \n  2 -> 7 [size =\"32723968\"]\n  2 -> 9 [size =\"32723968\"]\n  2 -> 12 [size =\"32723968\"]\n  2 -> 12 [size =\"32723968\"]\n  2 -> 13 [size =\"32723968\"]\n  3 [size=\"50959360\", alpha=\"0.10\", expect_size=\"20383744\"] \n  3 -> 7 [size =\"20383744\"]\n  3 -> 9 [size =\"20383744\"]\n  3 -> 13 [size =\"20383744\"]\n  4 [size=\"23065600\", alpha=\"0.20\", expect_size=\"9226240\"] \n  4 -> 8 [size =\"9226240\"]\n  4 -> 13 [size =\"9226240\"]\n  4 -> 13 [size =\"9226240\"]\n  5 [size=\"14433280\", alpha=\"0.12\", expect_size=\"5773312\"] \n  5 -> 8 [size =\"5773312\"]\n  5 -> 9 [size =\"5773312\"]\n  5 -> 10 [size =\"5773312\"]\n  6 [size=\"60526080\", alpha=\"0.20\", expect_size=\"24210432\"] \n  6 -> 7 [size =\"24210432\"]\n  6 -> 11 [size =\"24210432\"]\n  7 [size=\"129902080\", alpha=\"0.10\", expect_size=\"51960832\"] \n  7 -> 17 [size =\"51960832\"]\n  7 -> 19 [size =\"51960832\"]\n  8 [size=\"59973120\", alpha=\"0.17\", expect_size=\"23989248\"] \n  8 -> 14 [size =\"23989248\"]\n  8 -> 15 [size =\"23989248\"]\n  8 -> 17 [size =\"23989248\"]\n  9 [size=\"21688320\", alpha=\"0.01\", expect_size=\"8675328\"] \n  9 -> 14 [size =\"8675328\"]\n  9 -> 16 [size =\"8675328\"]\n  9 -> 18 [size =\"8675328\"]\n  10 [size=\"23098880\", alpha=\"0.10\", expect_size=\"9239552\"] \n  10 -> 14 [size =\"9239552\"]\n  10 -> 18 [size =\"9239552\"]\n  11 [size=\"63508480\", alpha=\"0.16\", expect_size=\"25403392\"] \n  11 -> 14 [size =\"25403392\"]\n  11 -> 15 [size =\"25403392\"]\n  11 -> 19 [size =\"25403392\"]\n  11 -> 20 [size =\"25403392\"]\n  12 [size=\"113328640\", alpha=\"0.10\", expect_size=\"45331456\"] \n  12 -> 17 [size =\"45331456\"]\n  12 -> 18 [size =\"45331456\"]\n  12 -> 19 [size =\"45331456\"]\n  13 [size=\"111987200\", alpha=\"0.17\", expect_size=\"44794880\"] \n  13 -> 17 [size =\"44794880\"]\n  14 [size=\"53432320\", alpha=\"0.16\", expect_size=\"21372928\"] \n  14 -> 21 [size =\"21372928\"]\n  14 -> 24 [size =\"21372928\"]\n  15 [size=\"51916800\", alpha=\"0.19\", expect_size=\"20766720\"] \n  15 -> 23 [size =\"20766720\"]\n  15 -> 24 [size =\"20766720\"]\n  15 -> 25 [size =\"20766720\"]\n  15 -> 26 [size =\"20766720\"]\n  16 [size=\"123443200\", alpha=\"0.06\", expect_size=\"49377280\"] \n  16 -> 21 [size =\"49377280\"]\n  16 -> 23 [size =\"49377280\"]\n  16 -> 26 [size =\"49377280\"]\n  17 [size=\"121653760\", alpha=\"0.11\", expect_size=\"48661504\"] \n  17 -> 21 [size =\"48661504\"]\n  17 -> 22 [size =\"48661504\"]\n  17 -> 23 [size =\"48661504\"]\n  17 -> 24 [size =\"48661504\"]\n  17 -> 25 [size =\"48661504\"]\n  18 [size=\"62412800\", alpha=\"0.10\", expect_size=\"24965120\"] \n  18 -> 21 [size =\"24965120\"]\n  18 -> 23 [size =\"24965120\"]\n  18 -> 24 [size =\"24965120\"]\n  18 -> 26 [size =\"24965120\"]\n  19 [size=\"45875200\", alpha=\"0.05\", expect_size=\"18350080\"] \n  19 -> 21 [size =\"18350080\"]\n  19 -> 22 [size =\"18350080\"]\n  19 -> 26 [size =\"18350080\"]\n  20 [size=\"49305600\", alpha=\"0.18\", expect_size=\"19722240\"] \n  20 -> 26 [size =\"19722240\"]\n  21 [size=\"105515520\", alpha=\"0.13\", expect_size=\"42206208\"] \n  21 -> 27 [size =\"42206208\"]\n  21 -> 32 [size =\"42206208\"]\n  22 [size=\"84410880\", alpha=\"0.20\", expect_size=\"33764352\"] \n  22 -> 27 [size =\"33764352\"]\n  22 -> 28 [size =\"33764352\"]\n  22 -> 32 [size =\"33764352\"]\n  23 [size=\"25774080\", alpha=\"0.13\", expect_size=\"10309632\"] \n  23 -> 27 [size =\"10309632\"]\n  23 -> 28 [size =\"10309632\"]\n  23 -> 29 [size =\"10309632\"]\n  23 -> 30 [size =\"10309632\"]\n  23 -> 31 [size =\"10309632\"]\n  23 -> 32 [size =\"10309632\"]\n  24 [size=\"124925440\", alpha=\"0.08\", expect_size=\"49970176\"] \n  24 -> 28 [size =\"49970176\"]\n  24 -> 29 [size =\"49970176\"]\n  24 -> 30 [size =\"49970176\"]\n  24 -> 32 [size =\"49970176\"]\n  25 [size=\"102469120\", alpha=\"0.03\", expect_size=\"40987648\"] \n  25 -> 28 [size =\"40987648\"]\n  26 [size=\"96519680\", alpha=\"0.06\", expect_size=\"38607872\"] \n  26 -> 29 [size =\"38607872\"]\n  26 -> 30 [size =\"38607872\"]\n  26 -> 31 [size =\"38607872\"]\n  26 -> 32 [size =\"38607872\"]\n  27 [size=\"16337920\", alpha=\"0.09\", expect_size=\"6535168\"] \n  27 -> 34 [size =\"6535168\"]\n  27 -> 34 [size =\"6535168\"]\n  27 -> 35 [size =\"6535168\"]\n  27 -> 36 [size =\"6535168\"]\n  27 -> 39 [size =\"6535168\"]\n  28 [size=\"78433280\", alpha=\"0.20\", expect_size=\"31373312\"] \n  28 -> 33 [size =\"31373312\"]\n  28 -> 37 [size =\"31373312\"]\n  28 -> 38 [size =\"31373312\"]\n  28 -> 39 [size =\"31373312\"]\n  29 [size=\"17600000\", alpha=\"0.12\", expect_size=\"7040000\"] \n  29 -> 33 [size =\"7040000\"]\n  29 -> 35 [size =\"7040000\"]\n  29 -> 36 [size =\"7040000\"]\n  29 -> 37 [size =\"7040000\"]\n  30 [size=\"49945600\", alpha=\"0.06\", expect_size=\"19978240\"] \n  30 -> 35 [size =\"19978240\"]\n  30 -> 37 [size =\"19978240\"]\n  31 [size=\"38069760\", alpha=\"0.09\", expect_size=\"15227904\"] \n  31 -> 34 [size =\"15227904\"]\n  31 -> 36 [size =\"15227904\"]\n  31 -> 37 [size =\"15227904\"]\n  31 -> 39 [size =\"15227904\"]\n  32 [size=\"115228160\", alpha=\"0.08\", expect_size=\"46091264\"] \n  32 -> 33 [size =\"46091264\"]\n  32 -> 34 [size =\"46091264\"]\n  32 -> 39 [size =\"46091264\"]\n  33 [size=\"114186240\", alpha=\"0.05\", expect_size=\"45674496\"] \n  33 -> 42 [size =\"45674496\"]\n  34 [size=\"72803840\", alpha=\"0.08\", expect_size=\"29121536\"] \n  34 -> 40 [size =\"29121536\"]\n  34 -> 42 [size =\"29121536\"]\n  34 -> 45 [size =\"29121536\"]\n  35 [size=\"118999040\", alpha=\"0.17\", expect_size=\"47599616\"] \n  35 -> 41 [size =\"47599616\"]\n  36 [size=\"18173440\", alpha=\"0.06\", expect_size=\"7269376\"] \n  36 -> 42 [size =\"7269376\"]\n  36 -> 45 [size =\"7269376\"]\n  37 [size=\"53675520\", alpha=\"0.13\", expect_size=\"21470208\"] \n  37 -> 42 [size =\"21470208\"]\n  37 -> 43 [size =\"21470208\"]\n  37 -> 44 [size =\"21470208\"]\n  37 -> 45 [size =\"21470208\"]\n  38 [size=\"106373120\", alpha=\"0.08\", expect_size=\"42549248\"] \n  38 -> 41 [size =\"42549248\"]\n  38 -> 42 [size =\"42549248\"]\n  38 -> 43 [size =\"42549248\"]\n  39 [size=\"105169920\", alpha=\"0.09\", expect_size=\"42067968\"] \n  39 -> 41 [size =\"42067968\"]\n  39 -> 44 [size =\"42067968\"]\n  39 -> 45 [size =\"42067968\"]\n  40 [size=\"58647040\", alpha=\"0.16\", expect_size=\"23458816\"] \n  40 -> 46 [size =\"23458816\"]\n  41 [size=\"94766080\", alpha=\"0.18\", expect_size=\"37906432\"] \n  41 -> 46 [size =\"37906432\"]\n  41 -> 47 [size =\"37906432\"]\n  41 -> 48 [size =\"37906432\"]\n  41 -> 49 [size =\"37906432\"]\n  42 [size=\"27996160\", alpha=\"0.13\", expect_size=\"11198464\"] \n  42 -> 47 [size =\"11198464\"]\n  42 -> 49 [size =\"11198464\"]\n  43 [size=\"76526080\", alpha=\"0.10\", expect_size=\"30610432\"] \n  43 -> 48 [size =\"30610432\"]\n  43 -> 49 [size =\"30610432\"]\n  43 -> 50 [size =\"30610432\"]\n  44 [size=\"103308800\", alpha=\"0.05\", expect_size=\"41323520\"] \n  44 -> 48 [size =\"41323520\"]\n  44 -> 50 [size =\"41323520\"]\n  45 [size=\"30707200\", alpha=\"0.16\", expect_size=\"12282880\"] \n  45 -> 47 [size =\"12282880\"]\n  45 -> 48 [size =\"12282880\"]\n  45 -> 49 [size =\"12282880\"]\n  46 [size=\"15493120\", alpha=\"0.01\", expect_size=\"6197248\"] \n  47 [size=\"50042880\", alpha=\"0.07\", expect_size=\"20017152\"] \n  48 [size=\"124935680\", alpha=\"0.04\", expect_size=\"49974272\"] \n  49 [size=\"53555200\", alpha=\"0.01\", expect_size=\"21422080\"] \n  50 [size=\"104596480\", alpha=\"0.05\", expect_size=\"41838592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.690.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127480320\", alpha=\"0.00\", expect_size=\"50992128\"] \n  1 -> 2 [size =\"50992128\"]\n  2 [size=\"57011200\", alpha=\"0.16\", expect_size=\"22804480\"] \n  2 -> 3 [size =\"22804480\"]\n  3 [size=\"65963520\", alpha=\"0.03\", expect_size=\"26385408\"] \n  3 -> 4 [size =\"26385408\"]\n  4 [size=\"112481280\", alpha=\"0.06\", expect_size=\"44992512\"] \n  4 -> 5 [size =\"44992512\"]\n  5 [size=\"102264320\", alpha=\"0.10\", expect_size=\"40905728\"] \n  5 -> 6 [size =\"40905728\"]\n  6 [size=\"58204160\", alpha=\"0.19\", expect_size=\"23281664\"] \n  6 -> 7 [size =\"23281664\"]\n  7 [size=\"119659520\", alpha=\"0.17\", expect_size=\"47863808\"] \n  7 -> 8 [size =\"47863808\"]\n  8 [size=\"37603840\", alpha=\"0.13\", expect_size=\"15041536\"] \n  8 -> 9 [size =\"15041536\"]\n  9 [size=\"77552640\", alpha=\"0.03\", expect_size=\"31021056\"] \n  9 -> 10 [size =\"31021056\"]\n  10 [size=\"43056640\", alpha=\"0.04\", expect_size=\"17222656\"] \n  10 -> 11 [size =\"17222656\"]\n  11 [size=\"30950400\", alpha=\"0.16\", expect_size=\"12380160\"] \n  11 -> 12 [size =\"12380160\"]\n  12 [size=\"32007680\", alpha=\"0.14\", expect_size=\"12803072\"] \n  12 -> 13 [size =\"12803072\"]\n  13 [size=\"125793280\", alpha=\"0.03\", expect_size=\"50317312\"] \n  13 -> 14 [size =\"50317312\"]\n  14 [size=\"24942080\", alpha=\"0.09\", expect_size=\"9976832\"] \n  14 -> 15 [size =\"9976832\"]\n  15 [size=\"61391360\", alpha=\"0.05\", expect_size=\"24556544\"] \n  15 -> 16 [size =\"24556544\"]\n  16 [size=\"121553920\", alpha=\"0.10\", expect_size=\"48621568\"] \n  16 -> 17 [size =\"48621568\"]\n  17 [size=\"116083200\", alpha=\"0.06\", expect_size=\"46433280\"] \n  17 -> 18 [size =\"46433280\"]\n  18 [size=\"99271680\", alpha=\"0.10\", expect_size=\"39708672\"] \n  18 -> 19 [size =\"39708672\"]\n  19 [size=\"55971840\", alpha=\"0.02\", expect_size=\"22388736\"] \n  19 -> 20 [size =\"22388736\"]\n  20 [size=\"73344000\", alpha=\"0.20\", expect_size=\"29337600\"] \n  20 -> 21 [size =\"29337600\"]\n  21 [size=\"98094080\", alpha=\"0.16\", expect_size=\"39237632\"] \n  21 -> 22 [size =\"39237632\"]\n  22 [size=\"74383360\", alpha=\"0.00\", expect_size=\"29753344\"] \n  22 -> 23 [size =\"29753344\"]\n  23 [size=\"39741440\", alpha=\"0.13\", expect_size=\"15896576\"] \n  23 -> 24 [size =\"15896576\"]\n  24 [size=\"58050560\", alpha=\"0.03\", expect_size=\"23220224\"] \n  24 -> 25 [size =\"23220224\"]\n  25 [size=\"114073600\", alpha=\"0.08\", expect_size=\"45629440\"] \n  25 -> 26 [size =\"45629440\"]\n  26 [size=\"27663360\", alpha=\"0.01\", expect_size=\"11065344\"] \n  26 -> 27 [size =\"11065344\"]\n  27 [size=\"84218880\", alpha=\"0.12\", expect_size=\"33687552\"] \n  27 -> 28 [size =\"33687552\"]\n  28 [size=\"117818880\", alpha=\"0.07\", expect_size=\"47127552\"] \n  28 -> 29 [size =\"47127552\"]\n  29 [size=\"56893440\", alpha=\"0.13\", expect_size=\"22757376\"] \n  29 -> 30 [size =\"22757376\"]\n  30 [size=\"70556160\", alpha=\"0.04\", expect_size=\"28222464\"] \n  30 -> 31 [size =\"28222464\"]\n  31 [size=\"68203520\", alpha=\"0.18\", expect_size=\"27281408\"] \n  31 -> 32 [size =\"27281408\"]\n  32 [size=\"46241280\", alpha=\"0.15\", expect_size=\"18496512\"] \n  32 -> 33 [size =\"18496512\"]\n  33 [size=\"48581120\", alpha=\"0.11\", expect_size=\"19432448\"] \n  33 -> 34 [size =\"19432448\"]\n  34 [size=\"128076800\", alpha=\"0.09\", expect_size=\"51230720\"] \n  34 -> 35 [size =\"51230720\"]\n  35 [size=\"30210560\", alpha=\"0.16\", expect_size=\"12084224\"] \n  35 -> 36 [size =\"12084224\"]\n  36 [size=\"80069120\", alpha=\"0.00\", expect_size=\"32027648\"] \n  36 -> 37 [size =\"32027648\"]\n  37 [size=\"86819840\", alpha=\"0.03\", expect_size=\"34727936\"] \n  37 -> 38 [size =\"34727936\"]\n  38 [size=\"39055360\", alpha=\"0.20\", expect_size=\"15622144\"] \n  38 -> 39 [size =\"15622144\"]\n  39 [size=\"79234560\", alpha=\"0.04\", expect_size=\"31693824\"] \n  39 -> 40 [size =\"31693824\"]\n  40 [size=\"35873280\", alpha=\"0.18\", expect_size=\"14349312\"] \n  40 -> 41 [size =\"14349312\"]\n  41 [size=\"56888320\", alpha=\"0.07\", expect_size=\"22755328\"] \n  41 -> 42 [size =\"22755328\"]\n  42 [size=\"42160640\", alpha=\"0.06\", expect_size=\"16864256\"] \n  42 -> 43 [size =\"16864256\"]\n  43 [size=\"128552960\", alpha=\"0.10\", expect_size=\"51421184\"] \n  43 -> 44 [size =\"51421184\"]\n  44 [size=\"74862080\", alpha=\"0.01\", expect_size=\"29944832\"] \n  44 -> 45 [size =\"29944832\"]\n  45 [size=\"128855040\", alpha=\"0.10\", expect_size=\"51542016\"] \n  45 -> 46 [size =\"51542016\"]\n  46 [size=\"102886400\", alpha=\"0.00\", expect_size=\"41154560\"] \n  46 -> 47 [size =\"41154560\"]\n  47 [size=\"105402880\", alpha=\"0.03\", expect_size=\"42161152\"] \n  47 -> 48 [size =\"42161152\"]\n  48 [size=\"121415680\", alpha=\"0.04\", expect_size=\"48566272\"] \n  48 -> 49 [size =\"48566272\"]\n  49 [size=\"119132160\", alpha=\"0.12\", expect_size=\"47652864\"] \n  49 -> 50 [size =\"47652864\"]\n  50 [size=\"23449600\", alpha=\"0.10\", expect_size=\"9379840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.691.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79992320\", alpha=\"0.06\", expect_size=\"31996928\"] \n  1 -> 10 [size =\"31996928\"]\n  1 -> 11 [size =\"31996928\"]\n  2 [size=\"35576320\", alpha=\"0.13\", expect_size=\"14230528\"] \n  2 -> 9 [size =\"14230528\"]\n  2 -> 12 [size =\"14230528\"]\n  3 [size=\"97633280\", alpha=\"0.03\", expect_size=\"39053312\"] \n  3 -> 8 [size =\"39053312\"]\n  3 -> 9 [size =\"39053312\"]\n  3 -> 12 [size =\"39053312\"]\n  3 -> 13 [size =\"39053312\"]\n  4 [size=\"80394240\", alpha=\"0.11\", expect_size=\"32157696\"] \n  4 -> 10 [size =\"32157696\"]\n  4 -> 12 [size =\"32157696\"]\n  4 -> 13 [size =\"32157696\"]\n  5 [size=\"32440320\", alpha=\"0.06\", expect_size=\"12976128\"] \n  5 -> 13 [size =\"12976128\"]\n  6 [size=\"19200000\", alpha=\"0.00\", expect_size=\"7680000\"] \n  6 -> 12 [size =\"7680000\"]\n  7 [size=\"125242880\", alpha=\"0.01\", expect_size=\"50097152\"] \n  7 -> 8 [size =\"50097152\"]\n  7 -> 10 [size =\"50097152\"]\n  8 [size=\"70425600\", alpha=\"0.16\", expect_size=\"28170240\"] \n  8 -> 18 [size =\"28170240\"]\n  9 [size=\"120614400\", alpha=\"0.03\", expect_size=\"48245760\"] \n  10 [size=\"39331840\", alpha=\"0.15\", expect_size=\"15732736\"] \n  10 -> 14 [size =\"15732736\"]\n  11 [size=\"128939520\", alpha=\"0.04\", expect_size=\"51575808\"] \n  11 -> 15 [size =\"51575808\"]\n  11 -> 17 [size =\"51575808\"]\n  12 [size=\"47902720\", alpha=\"0.00\", expect_size=\"19161088\"] \n  12 -> 15 [size =\"19161088\"]\n  12 -> 16 [size =\"19161088\"]\n  12 -> 18 [size =\"19161088\"]\n  13 [size=\"122990080\", alpha=\"0.16\", expect_size=\"49196032\"] \n  13 -> 15 [size =\"49196032\"]\n  13 -> 17 [size =\"49196032\"]\n  14 [size=\"22999040\", alpha=\"0.07\", expect_size=\"9199616\"] \n  14 -> 23 [size =\"9199616\"]\n  14 -> 24 [size =\"9199616\"]\n  15 [size=\"87856640\", alpha=\"0.11\", expect_size=\"35142656\"] \n  15 -> 21 [size =\"35142656\"]\n  15 -> 22 [size =\"35142656\"]\n  16 [size=\"122524160\", alpha=\"0.06\", expect_size=\"49009664\"] \n  16 -> 19 [size =\"49009664\"]\n  16 -> 20 [size =\"49009664\"]\n  16 -> 22 [size =\"49009664\"]\n  17 [size=\"124485120\", alpha=\"0.00\", expect_size=\"49794048\"] \n  17 -> 23 [size =\"49794048\"]\n  17 -> 24 [size =\"49794048\"]\n  18 [size=\"13281280\", alpha=\"0.18\", expect_size=\"5312512\"] \n  19 [size=\"106234880\", alpha=\"0.18\", expect_size=\"42493952\"] \n  19 -> 26 [size =\"42493952\"]\n  19 -> 29 [size =\"42493952\"]\n  20 [size=\"122183680\", alpha=\"0.12\", expect_size=\"48873472\"] \n  20 -> 25 [size =\"48873472\"]\n  20 -> 28 [size =\"48873472\"]\n  20 -> 29 [size =\"48873472\"]\n  21 [size=\"92032000\", alpha=\"0.17\", expect_size=\"36812800\"] \n  22 [size=\"114283520\", alpha=\"0.06\", expect_size=\"45713408\"] \n  22 -> 26 [size =\"45713408\"]\n  22 -> 30 [size =\"45713408\"]\n  23 [size=\"116106240\", alpha=\"0.09\", expect_size=\"46442496\"] \n  23 -> 26 [size =\"46442496\"]\n  23 -> 30 [size =\"46442496\"]\n  24 [size=\"91553280\", alpha=\"0.04\", expect_size=\"36621312\"] \n  24 -> 25 [size =\"36621312\"]\n  24 -> 27 [size =\"36621312\"]\n  24 -> 29 [size =\"36621312\"]\n  24 -> 30 [size =\"36621312\"]\n  25 [size=\"15416320\", alpha=\"0.02\", expect_size=\"6166528\"] \n  25 -> 36 [size =\"6166528\"]\n  26 [size=\"81364480\", alpha=\"0.01\", expect_size=\"32545792\"] \n  26 -> 33 [size =\"32545792\"]\n  26 -> 34 [size =\"32545792\"]\n  27 [size=\"115141120\", alpha=\"0.19\", expect_size=\"46056448\"] \n  27 -> 31 [size =\"46056448\"]\n  27 -> 32 [size =\"46056448\"]\n  27 -> 35 [size =\"46056448\"]\n  27 -> 37 [size =\"46056448\"]\n  28 [size=\"115950080\", alpha=\"0.07\", expect_size=\"46380032\"] \n  28 -> 31 [size =\"46380032\"]\n  29 [size=\"101706240\", alpha=\"0.13\", expect_size=\"40682496\"] \n  29 -> 35 [size =\"40682496\"]\n  29 -> 37 [size =\"40682496\"]\n  30 [size=\"88816640\", alpha=\"0.03\", expect_size=\"35526656\"] \n  30 -> 36 [size =\"35526656\"]\n  31 [size=\"39577600\", alpha=\"0.13\", expect_size=\"15831040\"] \n  31 -> 39 [size =\"15831040\"]\n  31 -> 43 [size =\"15831040\"]\n  32 [size=\"20874240\", alpha=\"0.09\", expect_size=\"8349696\"] \n  32 -> 43 [size =\"8349696\"]\n  33 [size=\"55178240\", alpha=\"0.04\", expect_size=\"22071296\"] \n  33 -> 39 [size =\"22071296\"]\n  33 -> 40 [size =\"22071296\"]\n  33 -> 43 [size =\"22071296\"]\n  33 -> 44 [size =\"22071296\"]\n  34 [size=\"109048320\", alpha=\"0.00\", expect_size=\"43619328\"] \n  34 -> 38 [size =\"43619328\"]\n  34 -> 42 [size =\"43619328\"]\n  35 [size=\"13847040\", alpha=\"0.09\", expect_size=\"5538816\"] \n  35 -> 38 [size =\"5538816\"]\n  35 -> 42 [size =\"5538816\"]\n  36 [size=\"24839680\", alpha=\"0.17\", expect_size=\"9935872\"] \n  36 -> 41 [size =\"9935872\"]\n  36 -> 42 [size =\"9935872\"]\n  37 [size=\"30151680\", alpha=\"0.03\", expect_size=\"12060672\"] \n  37 -> 39 [size =\"12060672\"]\n  37 -> 40 [size =\"12060672\"]\n  38 [size=\"23959040\", alpha=\"0.09\", expect_size=\"9583616\"] \n  38 -> 45 [size =\"9583616\"]\n  38 -> 49 [size =\"9583616\"]\n  39 [size=\"63577600\", alpha=\"0.12\", expect_size=\"25431040\"] \n  39 -> 47 [size =\"25431040\"]\n  39 -> 50 [size =\"25431040\"]\n  40 [size=\"20590080\", alpha=\"0.12\", expect_size=\"8236032\"] \n  40 -> 46 [size =\"8236032\"]\n  40 -> 47 [size =\"8236032\"]\n  40 -> 50 [size =\"8236032\"]\n  41 [size=\"39183360\", alpha=\"0.06\", expect_size=\"15673344\"] \n  41 -> 47 [size =\"15673344\"]\n  41 -> 47 [size =\"15673344\"]\n  41 -> 48 [size =\"15673344\"]\n  42 [size=\"117230080\", alpha=\"0.18\", expect_size=\"46892032\"] \n  42 -> 45 [size =\"46892032\"]\n  42 -> 48 [size =\"46892032\"]\n  43 [size=\"53593600\", alpha=\"0.06\", expect_size=\"21437440\"] \n  43 -> 45 [size =\"21437440\"]\n  44 [size=\"76129280\", alpha=\"0.08\", expect_size=\"30451712\"] \n  44 -> 50 [size =\"30451712\"]\n  45 [size=\"76761600\", alpha=\"0.11\", expect_size=\"30704640\"] \n  46 [size=\"130245120\", alpha=\"0.05\", expect_size=\"52098048\"] \n  47 [size=\"110064640\", alpha=\"0.16\", expect_size=\"44025856\"] \n  48 [size=\"127600640\", alpha=\"0.05\", expect_size=\"51040256\"] \n  49 [size=\"65062400\", alpha=\"0.08\", expect_size=\"26024960\"] \n  50 [size=\"15582720\", alpha=\"0.05\", expect_size=\"6233088\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.692.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134792533\", alpha=\"0.14\", expect_size=\"40437760\"] \n  1 -> 37 [size =\"40437760\"]\n  1 -> 45 [size =\"40437760\"]\n  1 -> 47 [size =\"40437760\"]\n  2 [size=\"115582293\", alpha=\"0.07\", expect_size=\"34674688\"] \n  2 -> 41 [size =\"34674688\"]\n  2 -> 48 [size =\"34674688\"]\n  2 -> 49 [size =\"34674688\"]\n  3 [size=\"124412587\", alpha=\"0.07\", expect_size=\"37323776\"] \n  3 -> 38 [size =\"37323776\"]\n  3 -> 40 [size =\"37323776\"]\n  3 -> 41 [size =\"37323776\"]\n  3 -> 48 [size =\"37323776\"]\n  3 -> 49 [size =\"37323776\"]\n  4 [size=\"98706773\", alpha=\"0.15\", expect_size=\"29612032\"] \n  4 -> 48 [size =\"29612032\"]\n  4 -> 49 [size =\"29612032\"]\n  5 [size=\"49291947\", alpha=\"0.00\", expect_size=\"14787584\"] \n  5 -> 40 [size =\"14787584\"]\n  5 -> 43 [size =\"14787584\"]\n  5 -> 49 [size =\"14787584\"]\n  6 [size=\"33508693\", alpha=\"0.18\", expect_size=\"10052608\"] \n  6 -> 37 [size =\"10052608\"]\n  6 -> 48 [size =\"10052608\"]\n  6 -> 49 [size =\"10052608\"]\n  7 [size=\"145227093\", alpha=\"0.14\", expect_size=\"43568128\"] \n  7 -> 37 [size =\"43568128\"]\n  7 -> 38 [size =\"43568128\"]\n  7 -> 42 [size =\"43568128\"]\n  7 -> 49 [size =\"43568128\"]\n  8 [size=\"143039147\", alpha=\"0.10\", expect_size=\"42911744\"] \n  8 -> 45 [size =\"42911744\"]\n  8 -> 47 [size =\"42911744\"]\n  8 -> 49 [size =\"42911744\"]\n  8 -> 50 [size =\"42911744\"]\n  9 [size=\"76550827\", alpha=\"0.15\", expect_size=\"22965248\"] \n  9 -> 40 [size =\"22965248\"]\n  9 -> 46 [size =\"22965248\"]\n  9 -> 47 [size =\"22965248\"]\n  10 [size=\"115066880\", alpha=\"0.14\", expect_size=\"34520064\"] \n  10 -> 40 [size =\"34520064\"]\n  10 -> 43 [size =\"34520064\"]\n  10 -> 45 [size =\"34520064\"]\n  10 -> 46 [size =\"34520064\"]\n  10 -> 47 [size =\"34520064\"]\n  10 -> 49 [size =\"34520064\"]\n  11 [size=\"154931200\", alpha=\"0.04\", expect_size=\"46479360\"] \n  11 -> 40 [size =\"46479360\"]\n  11 -> 41 [size =\"46479360\"]\n  11 -> 47 [size =\"46479360\"]\n  11 -> 48 [size =\"46479360\"]\n  11 -> 49 [size =\"46479360\"]\n  12 [size=\"104823467\", alpha=\"0.11\", expect_size=\"31447040\"] \n  12 -> 38 [size =\"31447040\"]\n  12 -> 40 [size =\"31447040\"]\n  12 -> 47 [size =\"31447040\"]\n  12 -> 48 [size =\"31447040\"]\n  13 [size=\"160314027\", alpha=\"0.13\", expect_size=\"48094208\"] \n  13 -> 47 [size =\"48094208\"]\n  13 -> 48 [size =\"48094208\"]\n  13 -> 49 [size =\"48094208\"]\n  14 [size=\"55872853\", alpha=\"0.06\", expect_size=\"16761856\"] \n  14 -> 41 [size =\"16761856\"]\n  14 -> 42 [size =\"16761856\"]\n  14 -> 47 [size =\"16761856\"]\n  15 [size=\"173086720\", alpha=\"0.10\", expect_size=\"51926016\"] \n  15 -> 47 [size =\"51926016\"]\n  16 [size=\"19275093\", alpha=\"0.09\", expect_size=\"5782528\"] \n  16 -> 45 [size =\"5782528\"]\n  16 -> 47 [size =\"5782528\"]\n  16 -> 49 [size =\"5782528\"]\n  17 [size=\"157952000\", alpha=\"0.15\", expect_size=\"47385600\"] \n  17 -> 40 [size =\"47385600\"]\n  17 -> 43 [size =\"47385600\"]\n  17 -> 45 [size =\"47385600\"]\n  17 -> 47 [size =\"47385600\"]\n  18 [size=\"112305493\", alpha=\"0.19\", expect_size=\"33691648\"] \n  18 -> 36 [size =\"33691648\"]\n  18 -> 37 [size =\"33691648\"]\n  18 -> 41 [size =\"33691648\"]\n  18 -> 45 [size =\"33691648\"]\n  18 -> 47 [size =\"33691648\"]\n  18 -> 48 [size =\"33691648\"]\n  19 [size=\"31771307\", alpha=\"0.02\", expect_size=\"9531392\"] \n  19 -> 45 [size =\"9531392\"]\n  19 -> 47 [size =\"9531392\"]\n  20 [size=\"150995627\", alpha=\"0.14\", expect_size=\"45298688\"] \n  20 -> 38 [size =\"45298688\"]\n  20 -> 42 [size =\"45298688\"]\n  20 -> 47 [size =\"45298688\"]\n  20 -> 49 [size =\"45298688\"]\n  21 [size=\"105198933\", alpha=\"0.02\", expect_size=\"31559680\"] \n  21 -> 38 [size =\"31559680\"]\n  21 -> 47 [size =\"31559680\"]\n  21 -> 48 [size =\"31559680\"]\n  22 [size=\"136693760\", alpha=\"0.01\", expect_size=\"41008128\"] \n  22 -> 39 [size =\"41008128\"]\n  22 -> 41 [size =\"41008128\"]\n  22 -> 48 [size =\"41008128\"]\n  23 [size=\"63740587\", alpha=\"0.15\", expect_size=\"19122176\"] \n  23 -> 37 [size =\"19122176\"]\n  23 -> 39 [size =\"19122176\"]\n  23 -> 45 [size =\"19122176\"]\n  23 -> 48 [size =\"19122176\"]\n  24 [size=\"166778880\", alpha=\"0.18\", expect_size=\"50033664\"] \n  24 -> 38 [size =\"50033664\"]\n  25 [size=\"55227733\", alpha=\"0.06\", expect_size=\"16568320\"] \n  25 -> 36 [size =\"16568320\"]\n  25 -> 39 [size =\"16568320\"]\n  25 -> 42 [size =\"16568320\"]\n  25 -> 43 [size =\"16568320\"]\n  25 -> 44 [size =\"16568320\"]\n  25 -> 45 [size =\"16568320\"]\n  26 [size=\"132867413\", alpha=\"0.16\", expect_size=\"39860224\"] \n  26 -> 42 [size =\"39860224\"]\n  26 -> 43 [size =\"39860224\"]\n  26 -> 48 [size =\"39860224\"]\n  27 [size=\"46520320\", alpha=\"0.02\", expect_size=\"13956096\"] \n  27 -> 41 [size =\"13956096\"]\n  27 -> 43 [size =\"13956096\"]\n  27 -> 45 [size =\"13956096\"]\n  27 -> 49 [size =\"13956096\"]\n  28 [size=\"168157867\", alpha=\"0.04\", expect_size=\"50447360\"] \n  28 -> 36 [size =\"50447360\"]\n  28 -> 37 [size =\"50447360\"]\n  28 -> 40 [size =\"50447360\"]\n  28 -> 41 [size =\"50447360\"]\n  28 -> 43 [size =\"50447360\"]\n  28 -> 45 [size =\"50447360\"]\n  28 -> 50 [size =\"50447360\"]\n  29 [size=\"163522560\", alpha=\"0.13\", expect_size=\"49056768\"] \n  29 -> 41 [size =\"49056768\"]\n  29 -> 47 [size =\"49056768\"]\n  29 -> 48 [size =\"49056768\"]\n  29 -> 50 [size =\"49056768\"]\n  30 [size=\"21032960\", alpha=\"0.15\", expect_size=\"6309888\"] \n  30 -> 41 [size =\"6309888\"]\n  30 -> 45 [size =\"6309888\"]\n  30 -> 46 [size =\"6309888\"]\n  31 [size=\"133031253\", alpha=\"0.15\", expect_size=\"39909376\"] \n  31 -> 40 [size =\"39909376\"]\n  31 -> 41 [size =\"39909376\"]\n  31 -> 43 [size =\"39909376\"]\n  31 -> 45 [size =\"39909376\"]\n  31 -> 48 [size =\"39909376\"]\n  32 [size=\"144971093\", alpha=\"0.05\", expect_size=\"43491328\"] \n  32 -> 37 [size =\"43491328\"]\n  32 -> 41 [size =\"43491328\"]\n  32 -> 45 [size =\"43491328\"]\n  32 -> 48 [size =\"43491328\"]\n  32 -> 49 [size =\"43491328\"]\n  33 [size=\"154961920\", alpha=\"0.14\", expect_size=\"46488576\"] \n  33 -> 41 [size =\"46488576\"]\n  33 -> 45 [size =\"46488576\"]\n  34 [size=\"112653653\", alpha=\"0.07\", expect_size=\"33796096\"] \n  34 -> 40 [size =\"33796096\"]\n  34 -> 45 [size =\"33796096\"]\n  34 -> 47 [size =\"33796096\"]\n  34 -> 49 [size =\"33796096\"]\n  34 -> 50 [size =\"33796096\"]\n  35 [size=\"99273387\", alpha=\"0.00\", expect_size=\"29782016\"] \n  35 -> 45 [size =\"29782016\"]\n  35 -> 45 [size =\"29782016\"]\n  35 -> 47 [size =\"29782016\"]\n  35 -> 48 [size =\"29782016\"]\n  35 -> 49 [size =\"29782016\"]\n  36 [size=\"146643627\", alpha=\"0.14\", expect_size=\"43993088\"] \n  37 [size=\"113510400\", alpha=\"0.05\", expect_size=\"34053120\"] \n  38 [size=\"127624533\", alpha=\"0.09\", expect_size=\"38287360\"] \n  39 [size=\"157269333\", alpha=\"0.14\", expect_size=\"47180800\"] \n  40 [size=\"104229547\", alpha=\"0.16\", expect_size=\"31268864\"] \n  41 [size=\"66099200\", alpha=\"0.10\", expect_size=\"19829760\"] \n  42 [size=\"23050240\", alpha=\"0.18\", expect_size=\"6915072\"] \n  43 [size=\"62433280\", alpha=\"0.13\", expect_size=\"18729984\"] \n  44 [size=\"169796267\", alpha=\"0.06\", expect_size=\"50938880\"] \n  45 [size=\"68966400\", alpha=\"0.05\", expect_size=\"20689920\"] \n  46 [size=\"72843947\", alpha=\"0.17\", expect_size=\"21853184\"] \n  47 [size=\"25937920\", alpha=\"0.14\", expect_size=\"7781376\"] \n  48 [size=\"68727467\", alpha=\"0.10\", expect_size=\"20618240\"] \n  49 [size=\"138758827\", alpha=\"0.04\", expect_size=\"41627648\"] \n  50 [size=\"93044053\", alpha=\"0.19\", expect_size=\"27913216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.693.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22848000\", alpha=\"0.18\", expect_size=\"9139200\"] \n  1 -> 2 [size =\"9139200\"]\n  2 [size=\"35742720\", alpha=\"0.01\", expect_size=\"14297088\"] \n  2 -> 3 [size =\"14297088\"]\n  3 [size=\"87562240\", alpha=\"0.11\", expect_size=\"35024896\"] \n  3 -> 4 [size =\"35024896\"]\n  4 [size=\"79810560\", alpha=\"0.08\", expect_size=\"31924224\"] \n  4 -> 5 [size =\"31924224\"]\n  5 [size=\"91617280\", alpha=\"0.11\", expect_size=\"36646912\"] \n  5 -> 6 [size =\"36646912\"]\n  6 [size=\"59709440\", alpha=\"0.16\", expect_size=\"23883776\"] \n  6 -> 7 [size =\"23883776\"]\n  7 [size=\"93312000\", alpha=\"0.17\", expect_size=\"37324800\"] \n  7 -> 8 [size =\"37324800\"]\n  8 [size=\"101570560\", alpha=\"0.15\", expect_size=\"40628224\"] \n  8 -> 9 [size =\"40628224\"]\n  9 [size=\"102103040\", alpha=\"0.16\", expect_size=\"40841216\"] \n  9 -> 10 [size =\"40841216\"]\n  10 [size=\"57530880\", alpha=\"0.20\", expect_size=\"23012352\"] \n  10 -> 11 [size =\"23012352\"]\n  11 [size=\"52894720\", alpha=\"0.12\", expect_size=\"21157888\"] \n  11 -> 12 [size =\"21157888\"]\n  12 [size=\"39354880\", alpha=\"0.06\", expect_size=\"15741952\"] \n  12 -> 13 [size =\"15741952\"]\n  13 [size=\"43381760\", alpha=\"0.05\", expect_size=\"17352704\"] \n  13 -> 14 [size =\"17352704\"]\n  14 [size=\"107064320\", alpha=\"0.09\", expect_size=\"42825728\"] \n  14 -> 15 [size =\"42825728\"]\n  15 [size=\"33838080\", alpha=\"0.19\", expect_size=\"13535232\"] \n  15 -> 16 [size =\"13535232\"]\n  16 [size=\"100810240\", alpha=\"0.16\", expect_size=\"40324096\"] \n  16 -> 17 [size =\"40324096\"]\n  17 [size=\"79475200\", alpha=\"0.20\", expect_size=\"31790080\"] \n  17 -> 18 [size =\"31790080\"]\n  18 [size=\"62776320\", alpha=\"0.17\", expect_size=\"25110528\"] \n  18 -> 19 [size =\"25110528\"]\n  19 [size=\"31462400\", alpha=\"0.03\", expect_size=\"12584960\"] \n  19 -> 20 [size =\"12584960\"]\n  20 [size=\"124899840\", alpha=\"0.08\", expect_size=\"49959936\"] \n  20 -> 21 [size =\"49959936\"]\n  21 [size=\"121981440\", alpha=\"0.14\", expect_size=\"48792576\"] \n  21 -> 22 [size =\"48792576\"]\n  22 [size=\"75939840\", alpha=\"0.04\", expect_size=\"30375936\"] \n  22 -> 23 [size =\"30375936\"]\n  23 [size=\"108733440\", alpha=\"0.06\", expect_size=\"43493376\"] \n  23 -> 24 [size =\"43493376\"]\n  24 [size=\"18309120\", alpha=\"0.20\", expect_size=\"7323648\"] \n  24 -> 25 [size =\"7323648\"]\n  25 [size=\"68756480\", alpha=\"0.07\", expect_size=\"27502592\"] \n  25 -> 26 [size =\"27502592\"]\n  26 [size=\"61491200\", alpha=\"0.02\", expect_size=\"24596480\"] \n  26 -> 27 [size =\"24596480\"]\n  27 [size=\"39439360\", alpha=\"0.11\", expect_size=\"15775744\"] \n  27 -> 28 [size =\"15775744\"]\n  28 [size=\"38492160\", alpha=\"0.14\", expect_size=\"15396864\"] \n  28 -> 29 [size =\"15396864\"]\n  29 [size=\"18086400\", alpha=\"0.13\", expect_size=\"7234560\"] \n  29 -> 30 [size =\"7234560\"]\n  30 [size=\"37360640\", alpha=\"0.19\", expect_size=\"14944256\"] \n  30 -> 31 [size =\"14944256\"]\n  31 [size=\"82432000\", alpha=\"0.12\", expect_size=\"32972800\"] \n  31 -> 32 [size =\"32972800\"]\n  32 [size=\"45076480\", alpha=\"0.09\", expect_size=\"18030592\"] \n  32 -> 33 [size =\"18030592\"]\n  33 [size=\"65894400\", alpha=\"0.12\", expect_size=\"26357760\"] \n  33 -> 34 [size =\"26357760\"]\n  34 [size=\"101378560\", alpha=\"0.10\", expect_size=\"40551424\"] \n  34 -> 35 [size =\"40551424\"]\n  35 [size=\"100270080\", alpha=\"0.12\", expect_size=\"40108032\"] \n  35 -> 36 [size =\"40108032\"]\n  36 [size=\"23109120\", alpha=\"0.09\", expect_size=\"9243648\"] \n  36 -> 37 [size =\"9243648\"]\n  37 [size=\"34470400\", alpha=\"0.17\", expect_size=\"13788160\"] \n  37 -> 38 [size =\"13788160\"]\n  38 [size=\"96591360\", alpha=\"0.14\", expect_size=\"38636544\"] \n  38 -> 39 [size =\"38636544\"]\n  39 [size=\"62005760\", alpha=\"0.14\", expect_size=\"24802304\"] \n  39 -> 40 [size =\"24802304\"]\n  40 [size=\"19712000\", alpha=\"0.12\", expect_size=\"7884800\"] \n  40 -> 41 [size =\"7884800\"]\n  41 [size=\"14136320\", alpha=\"0.09\", expect_size=\"5654528\"] \n  41 -> 42 [size =\"5654528\"]\n  42 [size=\"85063680\", alpha=\"0.17\", expect_size=\"34025472\"] \n  42 -> 43 [size =\"34025472\"]\n  43 [size=\"22814720\", alpha=\"0.01\", expect_size=\"9125888\"] \n  43 -> 44 [size =\"9125888\"]\n  44 [size=\"93596160\", alpha=\"0.06\", expect_size=\"37438464\"] \n  44 -> 45 [size =\"37438464\"]\n  45 [size=\"37473280\", alpha=\"0.00\", expect_size=\"14989312\"] \n  45 -> 46 [size =\"14989312\"]\n  46 [size=\"111101440\", alpha=\"0.03\", expect_size=\"44440576\"] \n  46 -> 47 [size =\"44440576\"]\n  47 [size=\"48296960\", alpha=\"0.09\", expect_size=\"19318784\"] \n  47 -> 48 [size =\"19318784\"]\n  48 [size=\"33387520\", alpha=\"0.01\", expect_size=\"13355008\"] \n  48 -> 49 [size =\"13355008\"]\n  49 [size=\"116047360\", alpha=\"0.13\", expect_size=\"46418944\"] \n  49 -> 50 [size =\"46418944\"]\n  50 [size=\"78699520\", alpha=\"0.09\", expect_size=\"31479808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.694.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73945088\", alpha=\"0.05\", expect_size=\"36972544\"] \n  1 -> 3 [size =\"36972544\"]\n  1 -> 4 [size =\"36972544\"]\n  2 [size=\"41388032\", alpha=\"0.01\", expect_size=\"20694016\"] \n  2 -> 3 [size =\"20694016\"]\n  2 -> 4 [size =\"20694016\"]\n  2 -> 5 [size =\"20694016\"]\n  3 [size=\"87539712\", alpha=\"0.14\", expect_size=\"43769856\"] \n  3 -> 8 [size =\"43769856\"]\n  4 [size=\"56807424\", alpha=\"0.11\", expect_size=\"28403712\"] \n  4 -> 6 [size =\"28403712\"]\n  4 -> 7 [size =\"28403712\"]\n  5 [size=\"86611968\", alpha=\"0.04\", expect_size=\"43305984\"] \n  5 -> 7 [size =\"43305984\"]\n  6 [size=\"91303936\", alpha=\"0.02\", expect_size=\"45651968\"] \n  6 -> 9 [size =\"45651968\"]\n  6 -> 10 [size =\"45651968\"]\n  7 [size=\"17786880\", alpha=\"0.04\", expect_size=\"8893440\"] \n  7 -> 9 [size =\"8893440\"]\n  8 [size=\"45391872\", alpha=\"0.00\", expect_size=\"22695936\"] \n  8 -> 10 [size =\"22695936\"]\n  9 [size=\"30439424\", alpha=\"0.13\", expect_size=\"15219712\"] \n  9 -> 11 [size =\"15219712\"]\n  9 -> 12 [size =\"15219712\"]\n  9 -> 13 [size =\"15219712\"]\n  10 [size=\"65773568\", alpha=\"0.07\", expect_size=\"32886784\"] \n  10 -> 11 [size =\"32886784\"]\n  10 -> 12 [size =\"32886784\"]\n  11 [size=\"65476608\", alpha=\"0.15\", expect_size=\"32738304\"] \n  11 -> 14 [size =\"32738304\"]\n  11 -> 15 [size =\"32738304\"]\n  11 -> 16 [size =\"32738304\"]\n  12 [size=\"88965120\", alpha=\"0.00\", expect_size=\"44482560\"] \n  12 -> 16 [size =\"44482560\"]\n  13 [size=\"91363328\", alpha=\"0.11\", expect_size=\"45681664\"] \n  13 -> 15 [size =\"45681664\"]\n  14 [size=\"60925952\", alpha=\"0.13\", expect_size=\"30462976\"] \n  14 -> 17 [size =\"30462976\"]\n  14 -> 18 [size =\"30462976\"]\n  15 [size=\"16963584\", alpha=\"0.07\", expect_size=\"8481792\"] \n  15 -> 18 [size =\"8481792\"]\n  16 [size=\"35721216\", alpha=\"0.14\", expect_size=\"17860608\"] \n  16 -> 17 [size =\"17860608\"]\n  17 [size=\"43862016\", alpha=\"0.15\", expect_size=\"21931008\"] \n  17 -> 19 [size =\"21931008\"]\n  17 -> 21 [size =\"21931008\"]\n  18 [size=\"63385600\", alpha=\"0.04\", expect_size=\"31692800\"] \n  18 -> 19 [size =\"31692800\"]\n  18 -> 20 [size =\"31692800\"]\n  18 -> 21 [size =\"31692800\"]\n  19 [size=\"64790528\", alpha=\"0.06\", expect_size=\"32395264\"] \n  19 -> 23 [size =\"32395264\"]\n  20 [size=\"31375360\", alpha=\"0.07\", expect_size=\"15687680\"] \n  20 -> 23 [size =\"15687680\"]\n  21 [size=\"65099776\", alpha=\"0.03\", expect_size=\"32549888\"] \n  21 -> 22 [size =\"32549888\"]\n  22 [size=\"40867840\", alpha=\"0.04\", expect_size=\"20433920\"] \n  23 [size=\"41293824\", alpha=\"0.02\", expect_size=\"20646912\"] \n  23 -> 24 [size =\"20646912\"]\n  23 -> 25 [size =\"20646912\"]\n  24 [size=\"93327360\", alpha=\"0.10\", expect_size=\"46663680\"] \n  24 -> 27 [size =\"46663680\"]\n  25 [size=\"62625792\", alpha=\"0.14\", expect_size=\"31312896\"] \n  25 -> 26 [size =\"31312896\"]\n  26 [size=\"96100352\", alpha=\"0.15\", expect_size=\"48050176\"] \n  26 -> 28 [size =\"48050176\"]\n  26 -> 29 [size =\"48050176\"]\n  26 -> 30 [size =\"48050176\"]\n  27 [size=\"66549760\", alpha=\"0.17\", expect_size=\"33274880\"] \n  27 -> 28 [size =\"33274880\"]\n  27 -> 30 [size =\"33274880\"]\n  28 [size=\"41084928\", alpha=\"0.07\", expect_size=\"20542464\"] \n  28 -> 31 [size =\"20542464\"]\n  28 -> 32 [size =\"20542464\"]\n  29 [size=\"58345472\", alpha=\"0.02\", expect_size=\"29172736\"] \n  29 -> 32 [size =\"29172736\"]\n  29 -> 33 [size =\"29172736\"]\n  30 [size=\"85929984\", alpha=\"0.07\", expect_size=\"42964992\"] \n  30 -> 33 [size =\"42964992\"]\n  31 [size=\"26793984\", alpha=\"0.05\", expect_size=\"13396992\"] \n  31 -> 34 [size =\"13396992\"]\n  31 -> 36 [size =\"13396992\"]\n  32 [size=\"38766592\", alpha=\"0.19\", expect_size=\"19383296\"] \n  32 -> 34 [size =\"19383296\"]\n  32 -> 35 [size =\"19383296\"]\n  32 -> 36 [size =\"19383296\"]\n  33 [size=\"58382336\", alpha=\"0.11\", expect_size=\"29191168\"] \n  33 -> 35 [size =\"29191168\"]\n  34 [size=\"68321280\", alpha=\"0.13\", expect_size=\"34160640\"] \n  34 -> 37 [size =\"34160640\"]\n  35 [size=\"20537344\", alpha=\"0.16\", expect_size=\"10268672\"] \n  35 -> 37 [size =\"10268672\"]\n  35 -> 38 [size =\"10268672\"]\n  35 -> 39 [size =\"10268672\"]\n  36 [size=\"85528576\", alpha=\"0.05\", expect_size=\"42764288\"] \n  37 [size=\"60997632\", alpha=\"0.01\", expect_size=\"30498816\"] \n  37 -> 40 [size =\"30498816\"]\n  37 -> 41 [size =\"30498816\"]\n  38 [size=\"48621568\", alpha=\"0.08\", expect_size=\"24310784\"] \n  38 -> 40 [size =\"24310784\"]\n  39 [size=\"83306496\", alpha=\"0.06\", expect_size=\"41653248\"] \n  39 -> 40 [size =\"41653248\"]\n  39 -> 41 [size =\"41653248\"]\n  40 [size=\"90634240\", alpha=\"0.09\", expect_size=\"45317120\"] \n  40 -> 42 [size =\"45317120\"]\n  40 -> 43 [size =\"45317120\"]\n  40 -> 44 [size =\"45317120\"]\n  41 [size=\"31518720\", alpha=\"0.04\", expect_size=\"15759360\"] \n  41 -> 43 [size =\"15759360\"]\n  41 -> 44 [size =\"15759360\"]\n  42 [size=\"55324672\", alpha=\"0.05\", expect_size=\"27662336\"] \n  43 [size=\"51787776\", alpha=\"0.12\", expect_size=\"25893888\"] \n  44 [size=\"101789696\", alpha=\"0.17\", expect_size=\"50894848\"] \n  44 -> 45 [size =\"50894848\"]\n  44 -> 46 [size =\"50894848\"]\n  44 -> 47 [size =\"50894848\"]\n  45 [size=\"67022848\", alpha=\"0.13\", expect_size=\"33511424\"] \n  45 -> 49 [size =\"33511424\"]\n  46 [size=\"48343040\", alpha=\"0.08\", expect_size=\"24171520\"] \n  46 -> 48 [size =\"24171520\"]\n  46 -> 50 [size =\"24171520\"]\n  47 [size=\"70985728\", alpha=\"0.14\", expect_size=\"35492864\"] \n  48 [size=\"73955328\", alpha=\"0.07\", expect_size=\"36977664\"] \n  49 [size=\"15783936\", alpha=\"0.09\", expect_size=\"7891968\"] \n  50 [size=\"45148160\", alpha=\"0.08\", expect_size=\"22574080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.695.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59764053\", alpha=\"0.10\", expect_size=\"17929216\"] \n  1 -> 25 [size =\"17929216\"]\n  1 -> 28 [size =\"17929216\"]\n  1 -> 32 [size =\"17929216\"]\n  1 -> 36 [size =\"17929216\"]\n  1 -> 39 [size =\"17929216\"]\n  1 -> 40 [size =\"17929216\"]\n  1 -> 44 [size =\"17929216\"]\n  1 -> 46 [size =\"17929216\"]\n  1 -> 47 [size =\"17929216\"]\n  1 -> 49 [size =\"17929216\"]\n  2 [size=\"69058560\", alpha=\"0.16\", expect_size=\"20717568\"] \n  2 -> 25 [size =\"20717568\"]\n  2 -> 39 [size =\"20717568\"]\n  2 -> 42 [size =\"20717568\"]\n  2 -> 46 [size =\"20717568\"]\n  2 -> 50 [size =\"20717568\"]\n  3 [size=\"132324693\", alpha=\"0.09\", expect_size=\"39697408\"] \n  3 -> 27 [size =\"39697408\"]\n  3 -> 33 [size =\"39697408\"]\n  3 -> 34 [size =\"39697408\"]\n  3 -> 43 [size =\"39697408\"]\n  3 -> 44 [size =\"39697408\"]\n  3 -> 50 [size =\"39697408\"]\n  4 [size=\"116592640\", alpha=\"0.05\", expect_size=\"34977792\"] \n  4 -> 27 [size =\"34977792\"]\n  4 -> 28 [size =\"34977792\"]\n  4 -> 32 [size =\"34977792\"]\n  4 -> 34 [size =\"34977792\"]\n  4 -> 35 [size =\"34977792\"]\n  4 -> 36 [size =\"34977792\"]\n  4 -> 37 [size =\"34977792\"]\n  4 -> 38 [size =\"34977792\"]\n  4 -> 40 [size =\"34977792\"]\n  4 -> 41 [size =\"34977792\"]\n  4 -> 44 [size =\"34977792\"]\n  4 -> 47 [size =\"34977792\"]\n  4 -> 50 [size =\"34977792\"]\n  5 [size=\"113783467\", alpha=\"0.17\", expect_size=\"34135040\"] \n  5 -> 27 [size =\"34135040\"]\n  5 -> 28 [size =\"34135040\"]\n  5 -> 32 [size =\"34135040\"]\n  5 -> 36 [size =\"34135040\"]\n  5 -> 40 [size =\"34135040\"]\n  5 -> 41 [size =\"34135040\"]\n  5 -> 43 [size =\"34135040\"]\n  5 -> 46 [size =\"34135040\"]\n  5 -> 47 [size =\"34135040\"]\n  5 -> 48 [size =\"34135040\"]\n  5 -> 49 [size =\"34135040\"]\n  5 -> 50 [size =\"34135040\"]\n  6 [size=\"133498880\", alpha=\"0.10\", expect_size=\"40049664\"] \n  6 -> 25 [size =\"40049664\"]\n  6 -> 27 [size =\"40049664\"]\n  6 -> 28 [size =\"40049664\"]\n  6 -> 33 [size =\"40049664\"]\n  6 -> 37 [size =\"40049664\"]\n  6 -> 44 [size =\"40049664\"]\n  6 -> 45 [size =\"40049664\"]\n  6 -> 47 [size =\"40049664\"]\n  6 -> 48 [size =\"40049664\"]\n  6 -> 49 [size =\"40049664\"]\n  6 -> 50 [size =\"40049664\"]\n  7 [size=\"21845333\", alpha=\"0.15\", expect_size=\"6553600\"] \n  7 -> 25 [size =\"6553600\"]\n  7 -> 26 [size =\"6553600\"]\n  7 -> 27 [size =\"6553600\"]\n  7 -> 28 [size =\"6553600\"]\n  7 -> 29 [size =\"6553600\"]\n  7 -> 32 [size =\"6553600\"]\n  7 -> 36 [size =\"6553600\"]\n  7 -> 37 [size =\"6553600\"]\n  7 -> 40 [size =\"6553600\"]\n  7 -> 42 [size =\"6553600\"]\n  7 -> 44 [size =\"6553600\"]\n  7 -> 46 [size =\"6553600\"]\n  7 -> 47 [size =\"6553600\"]\n  8 [size=\"96136533\", alpha=\"0.05\", expect_size=\"28840960\"] \n  8 -> 28 [size =\"28840960\"]\n  8 -> 35 [size =\"28840960\"]\n  8 -> 38 [size =\"28840960\"]\n  8 -> 41 [size =\"28840960\"]\n  8 -> 46 [size =\"28840960\"]\n  8 -> 47 [size =\"28840960\"]\n  9 [size=\"168816640\", alpha=\"0.13\", expect_size=\"50644992\"] \n  9 -> 25 [size =\"50644992\"]\n  9 -> 27 [size =\"50644992\"]\n  9 -> 32 [size =\"50644992\"]\n  9 -> 35 [size =\"50644992\"]\n  9 -> 37 [size =\"50644992\"]\n  9 -> 41 [size =\"50644992\"]\n  9 -> 45 [size =\"50644992\"]\n  9 -> 46 [size =\"50644992\"]\n  9 -> 47 [size =\"50644992\"]\n  10 [size=\"134772053\", alpha=\"0.14\", expect_size=\"40431616\"] \n  10 -> 27 [size =\"40431616\"]\n  10 -> 34 [size =\"40431616\"]\n  10 -> 35 [size =\"40431616\"]\n  10 -> 36 [size =\"40431616\"]\n  10 -> 38 [size =\"40431616\"]\n  10 -> 41 [size =\"40431616\"]\n  10 -> 46 [size =\"40431616\"]\n  11 [size=\"116155733\", alpha=\"0.18\", expect_size=\"34846720\"] \n  11 -> 25 [size =\"34846720\"]\n  11 -> 30 [size =\"34846720\"]\n  11 -> 34 [size =\"34846720\"]\n  11 -> 41 [size =\"34846720\"]\n  11 -> 45 [size =\"34846720\"]\n  11 -> 46 [size =\"34846720\"]\n  12 [size=\"40434347\", alpha=\"0.07\", expect_size=\"12130304\"] \n  12 -> 27 [size =\"12130304\"]\n  12 -> 28 [size =\"12130304\"]\n  12 -> 35 [size =\"12130304\"]\n  12 -> 40 [size =\"12130304\"]\n  12 -> 41 [size =\"12130304\"]\n  12 -> 42 [size =\"12130304\"]\n  12 -> 43 [size =\"12130304\"]\n  12 -> 44 [size =\"12130304\"]\n  13 [size=\"166130347\", alpha=\"0.16\", expect_size=\"49839104\"] \n  13 -> 25 [size =\"49839104\"]\n  13 -> 28 [size =\"49839104\"]\n  13 -> 31 [size =\"49839104\"]\n  13 -> 33 [size =\"49839104\"]\n  13 -> 34 [size =\"49839104\"]\n  13 -> 35 [size =\"49839104\"]\n  13 -> 40 [size =\"49839104\"]\n  13 -> 42 [size =\"49839104\"]\n  13 -> 43 [size =\"49839104\"]\n  13 -> 50 [size =\"49839104\"]\n  14 [size=\"75834027\", alpha=\"0.09\", expect_size=\"22750208\"] \n  14 -> 25 [size =\"22750208\"]\n  14 -> 28 [size =\"22750208\"]\n  14 -> 32 [size =\"22750208\"]\n  14 -> 35 [size =\"22750208\"]\n  14 -> 37 [size =\"22750208\"]\n  14 -> 38 [size =\"22750208\"]\n  14 -> 39 [size =\"22750208\"]\n  14 -> 40 [size =\"22750208\"]\n  14 -> 42 [size =\"22750208\"]\n  14 -> 49 [size =\"22750208\"]\n  14 -> 50 [size =\"22750208\"]\n  15 [size=\"116278613\", alpha=\"0.04\", expect_size=\"34883584\"] \n  15 -> 27 [size =\"34883584\"]\n  15 -> 28 [size =\"34883584\"]\n  15 -> 32 [size =\"34883584\"]\n  15 -> 33 [size =\"34883584\"]\n  15 -> 35 [size =\"34883584\"]\n  15 -> 36 [size =\"34883584\"]\n  15 -> 41 [size =\"34883584\"]\n  15 -> 42 [size =\"34883584\"]\n  15 -> 46 [size =\"34883584\"]\n  15 -> 47 [size =\"34883584\"]\n  16 [size=\"89712640\", alpha=\"0.12\", expect_size=\"26913792\"] \n  16 -> 26 [size =\"26913792\"]\n  16 -> 27 [size =\"26913792\"]\n  16 -> 35 [size =\"26913792\"]\n  16 -> 36 [size =\"26913792\"]\n  16 -> 38 [size =\"26913792\"]\n  16 -> 41 [size =\"26913792\"]\n  16 -> 44 [size =\"26913792\"]\n  16 -> 46 [size =\"26913792\"]\n  16 -> 50 [size =\"26913792\"]\n  17 [size=\"167028053\", alpha=\"0.09\", expect_size=\"50108416\"] \n  17 -> 32 [size =\"50108416\"]\n  17 -> 34 [size =\"50108416\"]\n  17 -> 35 [size =\"50108416\"]\n  17 -> 36 [size =\"50108416\"]\n  17 -> 40 [size =\"50108416\"]\n  17 -> 48 [size =\"50108416\"]\n  18 [size=\"124170240\", alpha=\"0.19\", expect_size=\"37251072\"] \n  18 -> 28 [size =\"37251072\"]\n  18 -> 35 [size =\"37251072\"]\n  18 -> 35 [size =\"37251072\"]\n  18 -> 36 [size =\"37251072\"]\n  18 -> 38 [size =\"37251072\"]\n  18 -> 40 [size =\"37251072\"]\n  18 -> 44 [size =\"37251072\"]\n  18 -> 46 [size =\"37251072\"]\n  18 -> 47 [size =\"37251072\"]\n  19 [size=\"166382933\", alpha=\"0.10\", expect_size=\"49914880\"] \n  19 -> 25 [size =\"49914880\"]\n  19 -> 27 [size =\"49914880\"]\n  19 -> 28 [size =\"49914880\"]\n  19 -> 35 [size =\"49914880\"]\n  19 -> 36 [size =\"49914880\"]\n  19 -> 43 [size =\"49914880\"]\n  19 -> 46 [size =\"49914880\"]\n  20 [size=\"114128213\", alpha=\"0.05\", expect_size=\"34238464\"] \n  20 -> 27 [size =\"34238464\"]\n  20 -> 29 [size =\"34238464\"]\n  20 -> 33 [size =\"34238464\"]\n  20 -> 34 [size =\"34238464\"]\n  20 -> 36 [size =\"34238464\"]\n  20 -> 37 [size =\"34238464\"]\n  20 -> 40 [size =\"34238464\"]\n  20 -> 45 [size =\"34238464\"]\n  20 -> 47 [size =\"34238464\"]\n  20 -> 49 [size =\"34238464\"]\n  20 -> 50 [size =\"34238464\"]\n  21 [size=\"66727253\", alpha=\"0.06\", expect_size=\"20018176\"] \n  21 -> 24 [size =\"20018176\"]\n  21 -> 27 [size =\"20018176\"]\n  21 -> 29 [size =\"20018176\"]\n  21 -> 33 [size =\"20018176\"]\n  21 -> 36 [size =\"20018176\"]\n  21 -> 38 [size =\"20018176\"]\n  21 -> 40 [size =\"20018176\"]\n  21 -> 41 [size =\"20018176\"]\n  21 -> 42 [size =\"20018176\"]\n  21 -> 44 [size =\"20018176\"]\n  21 -> 47 [size =\"20018176\"]\n  21 -> 50 [size =\"20018176\"]\n  22 [size=\"48889173\", alpha=\"0.13\", expect_size=\"14666752\"] \n  22 -> 29 [size =\"14666752\"]\n  22 -> 40 [size =\"14666752\"]\n  22 -> 44 [size =\"14666752\"]\n  22 -> 45 [size =\"14666752\"]\n  22 -> 46 [size =\"14666752\"]\n  22 -> 47 [size =\"14666752\"]\n  23 [size=\"100365653\", alpha=\"0.14\", expect_size=\"30109696\"] \n  23 -> 24 [size =\"30109696\"]\n  23 -> 25 [size =\"30109696\"]\n  23 -> 30 [size =\"30109696\"]\n  23 -> 32 [size =\"30109696\"]\n  23 -> 36 [size =\"30109696\"]\n  23 -> 40 [size =\"30109696\"]\n  23 -> 42 [size =\"30109696\"]\n  23 -> 43 [size =\"30109696\"]\n  23 -> 44 [size =\"30109696\"]\n  23 -> 45 [size =\"30109696\"]\n  23 -> 46 [size =\"30109696\"]\n  23 -> 47 [size =\"30109696\"]\n  24 [size=\"66771627\", alpha=\"0.09\", expect_size=\"20031488\"] \n  25 [size=\"134010880\", alpha=\"0.15\", expect_size=\"40203264\"] \n  26 [size=\"168236373\", alpha=\"0.17\", expect_size=\"50470912\"] \n  27 [size=\"104830293\", alpha=\"0.19\", expect_size=\"31449088\"] \n  28 [size=\"18274987\", alpha=\"0.10\", expect_size=\"5482496\"] \n  29 [size=\"164420267\", alpha=\"0.02\", expect_size=\"49326080\"] \n  30 [size=\"84486827\", alpha=\"0.08\", expect_size=\"25346048\"] \n  31 [size=\"124013227\", alpha=\"0.06\", expect_size=\"37203968\"] \n  32 [size=\"168004267\", alpha=\"0.08\", expect_size=\"50401280\"] \n  33 [size=\"110759253\", alpha=\"0.08\", expect_size=\"33227776\"] \n  34 [size=\"67126613\", alpha=\"0.16\", expect_size=\"20137984\"] \n  35 [size=\"136226133\", alpha=\"0.16\", expect_size=\"40867840\"] \n  36 [size=\"99792213\", alpha=\"0.06\", expect_size=\"29937664\"] \n  37 [size=\"73850880\", alpha=\"0.15\", expect_size=\"22155264\"] \n  38 [size=\"62778027\", alpha=\"0.17\", expect_size=\"18833408\"] \n  39 [size=\"145227093\", alpha=\"0.18\", expect_size=\"43568128\"] \n  40 [size=\"157975893\", alpha=\"0.11\", expect_size=\"47392768\"] \n  41 [size=\"61026987\", alpha=\"0.11\", expect_size=\"18308096\"] \n  42 [size=\"110353067\", alpha=\"0.15\", expect_size=\"33105920\"] \n  43 [size=\"171625813\", alpha=\"0.09\", expect_size=\"51487744\"] \n  44 [size=\"78929920\", alpha=\"0.09\", expect_size=\"23678976\"] \n  45 [size=\"47909547\", alpha=\"0.05\", expect_size=\"14372864\"] \n  46 [size=\"20087467\", alpha=\"0.19\", expect_size=\"6026240\"] \n  47 [size=\"67696640\", alpha=\"0.05\", expect_size=\"20308992\"] \n  48 [size=\"25722880\", alpha=\"0.10\", expect_size=\"7716864\"] \n  49 [size=\"158143147\", alpha=\"0.15\", expect_size=\"47442944\"] \n  50 [size=\"142015147\", alpha=\"0.08\", expect_size=\"42604544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.696.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40564736\", alpha=\"0.09\", expect_size=\"20282368\"] \n  1 -> 3 [size =\"20282368\"]\n  1 -> 4 [size =\"20282368\"]\n  1 -> 5 [size =\"20282368\"]\n  2 [size=\"70670336\", alpha=\"0.19\", expect_size=\"35335168\"] \n  2 -> 3 [size =\"35335168\"]\n  2 -> 4 [size =\"35335168\"]\n  2 -> 5 [size =\"35335168\"]\n  3 [size=\"79648768\", alpha=\"0.19\", expect_size=\"39824384\"] \n  3 -> 6 [size =\"39824384\"]\n  4 [size=\"91668480\", alpha=\"0.10\", expect_size=\"45834240\"] \n  4 -> 6 [size =\"45834240\"]\n  4 -> 7 [size =\"45834240\"]\n  5 [size=\"20828160\", alpha=\"0.17\", expect_size=\"10414080\"] \n  5 -> 6 [size =\"10414080\"]\n  5 -> 7 [size =\"10414080\"]\n  6 [size=\"99172352\", alpha=\"0.13\", expect_size=\"49586176\"] \n  6 -> 9 [size =\"49586176\"]\n  6 -> 10 [size =\"49586176\"]\n  7 [size=\"67557376\", alpha=\"0.10\", expect_size=\"33778688\"] \n  7 -> 8 [size =\"33778688\"]\n  7 -> 9 [size =\"33778688\"]\n  7 -> 10 [size =\"33778688\"]\n  8 [size=\"32741376\", alpha=\"0.09\", expect_size=\"16370688\"] \n  8 -> 11 [size =\"16370688\"]\n  9 [size=\"74883072\", alpha=\"0.01\", expect_size=\"37441536\"] \n  9 -> 11 [size =\"37441536\"]\n  10 [size=\"47753216\", alpha=\"0.16\", expect_size=\"23876608\"] \n  10 -> 12 [size =\"23876608\"]\n  10 -> 13 [size =\"23876608\"]\n  11 [size=\"73158656\", alpha=\"0.19\", expect_size=\"36579328\"] \n  11 -> 14 [size =\"36579328\"]\n  11 -> 15 [size =\"36579328\"]\n  11 -> 16 [size =\"36579328\"]\n  12 [size=\"22677504\", alpha=\"0.04\", expect_size=\"11338752\"] \n  13 [size=\"17268736\", alpha=\"0.12\", expect_size=\"8634368\"] \n  14 [size=\"13285376\", alpha=\"0.19\", expect_size=\"6642688\"] \n  14 -> 18 [size =\"6642688\"]\n  14 -> 19 [size =\"6642688\"]\n  15 [size=\"60067840\", alpha=\"0.01\", expect_size=\"30033920\"] \n  15 -> 18 [size =\"30033920\"]\n  15 -> 19 [size =\"30033920\"]\n  16 [size=\"47775744\", alpha=\"0.00\", expect_size=\"23887872\"] \n  16 -> 17 [size =\"23887872\"]\n  16 -> 18 [size =\"23887872\"]\n  16 -> 19 [size =\"23887872\"]\n  17 [size=\"13709312\", alpha=\"0.07\", expect_size=\"6854656\"] \n  17 -> 20 [size =\"6854656\"]\n  17 -> 21 [size =\"6854656\"]\n  18 [size=\"58986496\", alpha=\"0.03\", expect_size=\"29493248\"] \n  18 -> 20 [size =\"29493248\"]\n  18 -> 21 [size =\"29493248\"]\n  19 [size=\"99858432\", alpha=\"0.17\", expect_size=\"49929216\"] \n  19 -> 20 [size =\"49929216\"]\n  19 -> 21 [size =\"49929216\"]\n  20 [size=\"102483968\", alpha=\"0.14\", expect_size=\"51241984\"] \n  20 -> 22 [size =\"51241984\"]\n  20 -> 23 [size =\"51241984\"]\n  20 -> 24 [size =\"51241984\"]\n  21 [size=\"82956288\", alpha=\"0.18\", expect_size=\"41478144\"] \n  21 -> 22 [size =\"41478144\"]\n  21 -> 23 [size =\"41478144\"]\n  21 -> 24 [size =\"41478144\"]\n  22 [size=\"79605760\", alpha=\"0.14\", expect_size=\"39802880\"] \n  22 -> 26 [size =\"39802880\"]\n  22 -> 27 [size =\"39802880\"]\n  23 [size=\"99018752\", alpha=\"0.05\", expect_size=\"49509376\"] \n  23 -> 26 [size =\"49509376\"]\n  23 -> 27 [size =\"49509376\"]\n  24 [size=\"59973632\", alpha=\"0.13\", expect_size=\"29986816\"] \n  24 -> 25 [size =\"29986816\"]\n  24 -> 26 [size =\"29986816\"]\n  24 -> 27 [size =\"29986816\"]\n  25 [size=\"56072192\", alpha=\"0.04\", expect_size=\"28036096\"] \n  25 -> 28 [size =\"28036096\"]\n  25 -> 29 [size =\"28036096\"]\n  26 [size=\"59768832\", alpha=\"0.13\", expect_size=\"29884416\"] \n  26 -> 28 [size =\"29884416\"]\n  27 [size=\"60413952\", alpha=\"0.14\", expect_size=\"30206976\"] \n  27 -> 28 [size =\"30206976\"]\n  27 -> 29 [size =\"30206976\"]\n  28 [size=\"94824448\", alpha=\"0.00\", expect_size=\"47412224\"] \n  28 -> 30 [size =\"47412224\"]\n  28 -> 31 [size =\"47412224\"]\n  28 -> 32 [size =\"47412224\"]\n  29 [size=\"16361472\", alpha=\"0.00\", expect_size=\"8180736\"] \n  29 -> 30 [size =\"8180736\"]\n  29 -> 31 [size =\"8180736\"]\n  29 -> 32 [size =\"8180736\"]\n  30 [size=\"95170560\", alpha=\"0.08\", expect_size=\"47585280\"] \n  30 -> 34 [size =\"47585280\"]\n  31 [size=\"66721792\", alpha=\"0.09\", expect_size=\"33360896\"] \n  31 -> 33 [size =\"33360896\"]\n  32 [size=\"55468032\", alpha=\"0.12\", expect_size=\"27734016\"] \n  32 -> 34 [size =\"27734016\"]\n  33 [size=\"27217920\", alpha=\"0.17\", expect_size=\"13608960\"] \n  33 -> 36 [size =\"13608960\"]\n  33 -> 37 [size =\"13608960\"]\n  34 [size=\"51140608\", alpha=\"0.03\", expect_size=\"25570304\"] \n  34 -> 35 [size =\"25570304\"]\n  34 -> 37 [size =\"25570304\"]\n  35 [size=\"19673088\", alpha=\"0.19\", expect_size=\"9836544\"] \n  35 -> 38 [size =\"9836544\"]\n  35 -> 39 [size =\"9836544\"]\n  36 [size=\"37531648\", alpha=\"0.02\", expect_size=\"18765824\"] \n  36 -> 39 [size =\"18765824\"]\n  36 -> 40 [size =\"18765824\"]\n  37 [size=\"99033088\", alpha=\"0.07\", expect_size=\"49516544\"] \n  37 -> 38 [size =\"49516544\"]\n  37 -> 39 [size =\"49516544\"]\n  38 [size=\"72503296\", alpha=\"0.02\", expect_size=\"36251648\"] \n  38 -> 42 [size =\"36251648\"]\n  39 [size=\"74575872\", alpha=\"0.16\", expect_size=\"37287936\"] \n  39 -> 42 [size =\"37287936\"]\n  39 -> 43 [size =\"37287936\"]\n  40 [size=\"75272192\", alpha=\"0.09\", expect_size=\"37636096\"] \n  40 -> 41 [size =\"37636096\"]\n  40 -> 42 [size =\"37636096\"]\n  40 -> 43 [size =\"37636096\"]\n  41 [size=\"17491968\", alpha=\"0.18\", expect_size=\"8745984\"] \n  41 -> 44 [size =\"8745984\"]\n  41 -> 45 [size =\"8745984\"]\n  42 [size=\"58279936\", alpha=\"0.01\", expect_size=\"29139968\"] \n  42 -> 44 [size =\"29139968\"]\n  43 [size=\"21086208\", alpha=\"0.03\", expect_size=\"10543104\"] \n  43 -> 44 [size =\"10543104\"]\n  43 -> 45 [size =\"10543104\"]\n  44 [size=\"101437440\", alpha=\"0.16\", expect_size=\"50718720\"] \n  44 -> 46 [size =\"50718720\"]\n  44 -> 47 [size =\"50718720\"]\n  44 -> 48 [size =\"50718720\"]\n  45 [size=\"19019776\", alpha=\"0.18\", expect_size=\"9509888\"] \n  45 -> 46 [size =\"9509888\"]\n  45 -> 47 [size =\"9509888\"]\n  45 -> 48 [size =\"9509888\"]\n  46 [size=\"12161024\", alpha=\"0.11\", expect_size=\"6080512\"] \n  46 -> 49 [size =\"6080512\"]\n  46 -> 50 [size =\"6080512\"]\n  47 [size=\"23775232\", alpha=\"0.14\", expect_size=\"11887616\"] \n  47 -> 49 [size =\"11887616\"]\n  48 [size=\"57094144\", alpha=\"0.15\", expect_size=\"28547072\"] \n  48 -> 49 [size =\"28547072\"]\n  48 -> 50 [size =\"28547072\"]\n  49 [size=\"66242560\", alpha=\"0.17\", expect_size=\"33121280\"] \n  50 [size=\"46223360\", alpha=\"0.18\", expect_size=\"23111680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.697.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"11612160\", alpha=\"0.08\", expect_size=\"5806080\"] \n  1 -> 2 [size =\"5806080\"]\n  2 [size=\"17596416\", alpha=\"0.17\", expect_size=\"8798208\"] \n  2 -> 3 [size =\"8798208\"]\n  3 [size=\"85106688\", alpha=\"0.14\", expect_size=\"42553344\"] \n  3 -> 4 [size =\"42553344\"]\n  4 [size=\"92071936\", alpha=\"0.19\", expect_size=\"46035968\"] \n  4 -> 5 [size =\"46035968\"]\n  5 [size=\"49172480\", alpha=\"0.14\", expect_size=\"24586240\"] \n  5 -> 6 [size =\"24586240\"]\n  6 [size=\"51290112\", alpha=\"0.14\", expect_size=\"25645056\"] \n  6 -> 7 [size =\"25645056\"]\n  7 [size=\"43503616\", alpha=\"0.12\", expect_size=\"21751808\"] \n  7 -> 8 [size =\"21751808\"]\n  8 [size=\"17793024\", alpha=\"0.07\", expect_size=\"8896512\"] \n  8 -> 9 [size =\"8896512\"]\n  9 [size=\"16701440\", alpha=\"0.03\", expect_size=\"8350720\"] \n  9 -> 10 [size =\"8350720\"]\n  10 [size=\"29378560\", alpha=\"0.06\", expect_size=\"14689280\"] \n  10 -> 11 [size =\"14689280\"]\n  11 [size=\"11175936\", alpha=\"0.05\", expect_size=\"5587968\"] \n  11 -> 12 [size =\"5587968\"]\n  12 [size=\"49053696\", alpha=\"0.14\", expect_size=\"24526848\"] \n  12 -> 13 [size =\"24526848\"]\n  13 [size=\"32845824\", alpha=\"0.10\", expect_size=\"16422912\"] \n  13 -> 14 [size =\"16422912\"]\n  14 [size=\"99584000\", alpha=\"0.17\", expect_size=\"49792000\"] \n  14 -> 15 [size =\"49792000\"]\n  15 [size=\"96866304\", alpha=\"0.15\", expect_size=\"48433152\"] \n  15 -> 16 [size =\"48433152\"]\n  16 [size=\"70602752\", alpha=\"0.20\", expect_size=\"35301376\"] \n  16 -> 17 [size =\"35301376\"]\n  17 [size=\"41519104\", alpha=\"0.01\", expect_size=\"20759552\"] \n  17 -> 18 [size =\"20759552\"]\n  18 [size=\"100392960\", alpha=\"0.09\", expect_size=\"50196480\"] \n  18 -> 19 [size =\"50196480\"]\n  19 [size=\"38602752\", alpha=\"0.01\", expect_size=\"19301376\"] \n  19 -> 20 [size =\"19301376\"]\n  20 [size=\"53620736\", alpha=\"0.11\", expect_size=\"26810368\"] \n  20 -> 21 [size =\"26810368\"]\n  21 [size=\"80424960\", alpha=\"0.02\", expect_size=\"40212480\"] \n  21 -> 22 [size =\"40212480\"]\n  22 [size=\"103589888\", alpha=\"0.13\", expect_size=\"51794944\"] \n  22 -> 23 [size =\"51794944\"]\n  23 [size=\"76650496\", alpha=\"0.01\", expect_size=\"38325248\"] \n  23 -> 24 [size =\"38325248\"]\n  24 [size=\"30625792\", alpha=\"0.06\", expect_size=\"15312896\"] \n  24 -> 25 [size =\"15312896\"]\n  25 [size=\"15896576\", alpha=\"0.19\", expect_size=\"7948288\"] \n  25 -> 26 [size =\"7948288\"]\n  26 [size=\"86646784\", alpha=\"0.01\", expect_size=\"43323392\"] \n  26 -> 27 [size =\"43323392\"]\n  27 [size=\"85907456\", alpha=\"0.09\", expect_size=\"42953728\"] \n  27 -> 28 [size =\"42953728\"]\n  28 [size=\"91559936\", alpha=\"0.19\", expect_size=\"45779968\"] \n  28 -> 29 [size =\"45779968\"]\n  29 [size=\"37584896\", alpha=\"0.11\", expect_size=\"18792448\"] \n  29 -> 30 [size =\"18792448\"]\n  30 [size=\"44634112\", alpha=\"0.07\", expect_size=\"22317056\"] \n  30 -> 31 [size =\"22317056\"]\n  31 [size=\"98809856\", alpha=\"0.02\", expect_size=\"49404928\"] \n  31 -> 32 [size =\"49404928\"]\n  32 [size=\"12494848\", alpha=\"0.06\", expect_size=\"6247424\"] \n  32 -> 33 [size =\"6247424\"]\n  33 [size=\"75917312\", alpha=\"0.15\", expect_size=\"37958656\"] \n  33 -> 34 [size =\"37958656\"]\n  34 [size=\"80580608\", alpha=\"0.02\", expect_size=\"40290304\"] \n  34 -> 35 [size =\"40290304\"]\n  35 [size=\"13701120\", alpha=\"0.08\", expect_size=\"6850560\"] \n  35 -> 36 [size =\"6850560\"]\n  36 [size=\"102707200\", alpha=\"0.07\", expect_size=\"51353600\"] \n  36 -> 37 [size =\"51353600\"]\n  37 [size=\"10921984\", alpha=\"0.12\", expect_size=\"5460992\"] \n  37 -> 38 [size =\"5460992\"]\n  38 [size=\"54472704\", alpha=\"0.16\", expect_size=\"27236352\"] \n  38 -> 39 [size =\"27236352\"]\n  39 [size=\"51927040\", alpha=\"0.06\", expect_size=\"25963520\"] \n  39 -> 40 [size =\"25963520\"]\n  40 [size=\"103874560\", alpha=\"0.05\", expect_size=\"51937280\"] \n  40 -> 41 [size =\"51937280\"]\n  41 [size=\"40462336\", alpha=\"0.19\", expect_size=\"20231168\"] \n  41 -> 42 [size =\"20231168\"]\n  42 [size=\"51126272\", alpha=\"0.13\", expect_size=\"25563136\"] \n  42 -> 43 [size =\"25563136\"]\n  43 [size=\"80062464\", alpha=\"0.01\", expect_size=\"40031232\"] \n  43 -> 44 [size =\"40031232\"]\n  44 [size=\"55261184\", alpha=\"0.13\", expect_size=\"27630592\"] \n  44 -> 45 [size =\"27630592\"]\n  45 [size=\"65820672\", alpha=\"0.06\", expect_size=\"32910336\"] \n  45 -> 46 [size =\"32910336\"]\n  46 [size=\"103751680\", alpha=\"0.16\", expect_size=\"51875840\"] \n  46 -> 47 [size =\"51875840\"]\n  47 [size=\"40429568\", alpha=\"0.01\", expect_size=\"20214784\"] \n  47 -> 48 [size =\"20214784\"]\n  48 [size=\"95627264\", alpha=\"0.04\", expect_size=\"47813632\"] \n  48 -> 49 [size =\"47813632\"]\n  49 [size=\"76142592\", alpha=\"0.12\", expect_size=\"38071296\"] \n  49 -> 50 [size =\"38071296\"]\n  50 [size=\"104462336\", alpha=\"0.08\", expect_size=\"52231168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.698.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19083264\", alpha=\"0.03\", expect_size=\"9541632\"] \n  1 -> 36 [size =\"9541632\"]\n  1 -> 39 [size =\"9541632\"]\n  1 -> 42 [size =\"9541632\"]\n  1 -> 43 [size =\"9541632\"]\n  1 -> 47 [size =\"9541632\"]\n  1 -> 49 [size =\"9541632\"]\n  1 -> 50 [size =\"9541632\"]\n  2 [size=\"25616384\", alpha=\"0.01\", expect_size=\"12808192\"] \n  2 -> 37 [size =\"12808192\"]\n  2 -> 39 [size =\"12808192\"]\n  2 -> 41 [size =\"12808192\"]\n  2 -> 42 [size =\"12808192\"]\n  2 -> 43 [size =\"12808192\"]\n  2 -> 46 [size =\"12808192\"]\n  2 -> 49 [size =\"12808192\"]\n  3 [size=\"64446464\", alpha=\"0.10\", expect_size=\"32223232\"] \n  3 -> 39 [size =\"32223232\"]\n  3 -> 42 [size =\"32223232\"]\n  3 -> 43 [size =\"32223232\"]\n  3 -> 49 [size =\"32223232\"]\n  4 [size=\"21018624\", alpha=\"0.02\", expect_size=\"10509312\"] \n  4 -> 38 [size =\"10509312\"]\n  4 -> 39 [size =\"10509312\"]\n  4 -> 41 [size =\"10509312\"]\n  4 -> 43 [size =\"10509312\"]\n  4 -> 46 [size =\"10509312\"]\n  4 -> 47 [size =\"10509312\"]\n  4 -> 49 [size =\"10509312\"]\n  5 [size=\"64618496\", alpha=\"0.19\", expect_size=\"32309248\"] \n  5 -> 35 [size =\"32309248\"]\n  5 -> 36 [size =\"32309248\"]\n  5 -> 38 [size =\"32309248\"]\n  5 -> 39 [size =\"32309248\"]\n  5 -> 41 [size =\"32309248\"]\n  5 -> 43 [size =\"32309248\"]\n  5 -> 44 [size =\"32309248\"]\n  5 -> 46 [size =\"32309248\"]\n  5 -> 47 [size =\"32309248\"]\n  5 -> 49 [size =\"32309248\"]\n  6 [size=\"42266624\", alpha=\"0.19\", expect_size=\"21133312\"] \n  6 -> 38 [size =\"21133312\"]\n  6 -> 39 [size =\"21133312\"]\n  6 -> 41 [size =\"21133312\"]\n  6 -> 42 [size =\"21133312\"]\n  6 -> 45 [size =\"21133312\"]\n  6 -> 47 [size =\"21133312\"]\n  6 -> 49 [size =\"21133312\"]\n  7 [size=\"102737920\", alpha=\"0.09\", expect_size=\"51368960\"] \n  7 -> 36 [size =\"51368960\"]\n  7 -> 38 [size =\"51368960\"]\n  7 -> 39 [size =\"51368960\"]\n  7 -> 41 [size =\"51368960\"]\n  7 -> 43 [size =\"51368960\"]\n  7 -> 45 [size =\"51368960\"]\n  7 -> 47 [size =\"51368960\"]\n  7 -> 48 [size =\"51368960\"]\n  7 -> 49 [size =\"51368960\"]\n  8 [size=\"33591296\", alpha=\"0.03\", expect_size=\"16795648\"] \n  8 -> 36 [size =\"16795648\"]\n  8 -> 38 [size =\"16795648\"]\n  8 -> 39 [size =\"16795648\"]\n  8 -> 41 [size =\"16795648\"]\n  8 -> 45 [size =\"16795648\"]\n  8 -> 47 [size =\"16795648\"]\n  8 -> 48 [size =\"16795648\"]\n  8 -> 49 [size =\"16795648\"]\n  9 [size=\"80470016\", alpha=\"0.05\", expect_size=\"40235008\"] \n  9 -> 35 [size =\"40235008\"]\n  9 -> 38 [size =\"40235008\"]\n  9 -> 41 [size =\"40235008\"]\n  9 -> 41 [size =\"40235008\"]\n  9 -> 42 [size =\"40235008\"]\n  9 -> 43 [size =\"40235008\"]\n  9 -> 47 [size =\"40235008\"]\n  10 [size=\"72089600\", alpha=\"0.19\", expect_size=\"36044800\"] \n  10 -> 35 [size =\"36044800\"]\n  10 -> 41 [size =\"36044800\"]\n  10 -> 41 [size =\"36044800\"]\n  11 [size=\"59242496\", alpha=\"0.01\", expect_size=\"29621248\"] \n  11 -> 35 [size =\"29621248\"]\n  11 -> 37 [size =\"29621248\"]\n  11 -> 39 [size =\"29621248\"]\n  11 -> 41 [size =\"29621248\"]\n  11 -> 47 [size =\"29621248\"]\n  12 [size=\"71243776\", alpha=\"0.13\", expect_size=\"35621888\"] \n  12 -> 35 [size =\"35621888\"]\n  12 -> 36 [size =\"35621888\"]\n  12 -> 37 [size =\"35621888\"]\n  12 -> 38 [size =\"35621888\"]\n  12 -> 39 [size =\"35621888\"]\n  12 -> 41 [size =\"35621888\"]\n  12 -> 42 [size =\"35621888\"]\n  12 -> 47 [size =\"35621888\"]\n  12 -> 48 [size =\"35621888\"]\n  12 -> 49 [size =\"35621888\"]\n  13 [size=\"78280704\", alpha=\"0.03\", expect_size=\"39140352\"] \n  13 -> 38 [size =\"39140352\"]\n  13 -> 39 [size =\"39140352\"]\n  13 -> 41 [size =\"39140352\"]\n  13 -> 42 [size =\"39140352\"]\n  13 -> 47 [size =\"39140352\"]\n  13 -> 48 [size =\"39140352\"]\n  14 [size=\"30060544\", alpha=\"0.04\", expect_size=\"15030272\"] \n  14 -> 35 [size =\"15030272\"]\n  14 -> 36 [size =\"15030272\"]\n  14 -> 37 [size =\"15030272\"]\n  14 -> 38 [size =\"15030272\"]\n  14 -> 41 [size =\"15030272\"]\n  14 -> 43 [size =\"15030272\"]\n  14 -> 46 [size =\"15030272\"]\n  14 -> 47 [size =\"15030272\"]\n  14 -> 48 [size =\"15030272\"]\n  15 [size=\"37179392\", alpha=\"0.15\", expect_size=\"18589696\"] \n  15 -> 35 [size =\"18589696\"]\n  15 -> 37 [size =\"18589696\"]\n  15 -> 38 [size =\"18589696\"]\n  15 -> 39 [size =\"18589696\"]\n  15 -> 40 [size =\"18589696\"]\n  15 -> 41 [size =\"18589696\"]\n  15 -> 42 [size =\"18589696\"]\n  15 -> 43 [size =\"18589696\"]\n  15 -> 46 [size =\"18589696\"]\n  15 -> 47 [size =\"18589696\"]\n  15 -> 49 [size =\"18589696\"]\n  16 [size=\"30582784\", alpha=\"0.06\", expect_size=\"15291392\"] \n  16 -> 35 [size =\"15291392\"]\n  16 -> 36 [size =\"15291392\"]\n  16 -> 38 [size =\"15291392\"]\n  16 -> 39 [size =\"15291392\"]\n  16 -> 40 [size =\"15291392\"]\n  16 -> 42 [size =\"15291392\"]\n  16 -> 43 [size =\"15291392\"]\n  16 -> 43 [size =\"15291392\"]\n  16 -> 44 [size =\"15291392\"]\n  16 -> 47 [size =\"15291392\"]\n  17 [size=\"28135424\", alpha=\"0.10\", expect_size=\"14067712\"] \n  17 -> 35 [size =\"14067712\"]\n  17 -> 36 [size =\"14067712\"]\n  17 -> 41 [size =\"14067712\"]\n  17 -> 43 [size =\"14067712\"]\n  17 -> 46 [size =\"14067712\"]\n  17 -> 47 [size =\"14067712\"]\n  17 -> 48 [size =\"14067712\"]\n  17 -> 49 [size =\"14067712\"]\n  18 [size=\"71411712\", alpha=\"0.08\", expect_size=\"35705856\"] \n  18 -> 35 [size =\"35705856\"]\n  18 -> 36 [size =\"35705856\"]\n  18 -> 38 [size =\"35705856\"]\n  18 -> 41 [size =\"35705856\"]\n  18 -> 43 [size =\"35705856\"]\n  18 -> 44 [size =\"35705856\"]\n  18 -> 45 [size =\"35705856\"]\n  18 -> 47 [size =\"35705856\"]\n  18 -> 48 [size =\"35705856\"]\n  18 -> 49 [size =\"35705856\"]\n  19 [size=\"86665216\", alpha=\"0.13\", expect_size=\"43332608\"] \n  19 -> 35 [size =\"43332608\"]\n  19 -> 36 [size =\"43332608\"]\n  19 -> 37 [size =\"43332608\"]\n  19 -> 38 [size =\"43332608\"]\n  19 -> 39 [size =\"43332608\"]\n  19 -> 43 [size =\"43332608\"]\n  19 -> 46 [size =\"43332608\"]\n  19 -> 47 [size =\"43332608\"]\n  19 -> 48 [size =\"43332608\"]\n  19 -> 49 [size =\"43332608\"]\n  20 [size=\"15357952\", alpha=\"0.03\", expect_size=\"7678976\"] \n  20 -> 44 [size =\"7678976\"]\n  20 -> 45 [size =\"7678976\"]\n  20 -> 46 [size =\"7678976\"]\n  20 -> 47 [size =\"7678976\"]\n  20 -> 48 [size =\"7678976\"]\n  20 -> 49 [size =\"7678976\"]\n  21 [size=\"103153664\", alpha=\"0.15\", expect_size=\"51576832\"] \n  21 -> 36 [size =\"51576832\"]\n  21 -> 37 [size =\"51576832\"]\n  21 -> 44 [size =\"51576832\"]\n  21 -> 45 [size =\"51576832\"]\n  21 -> 47 [size =\"51576832\"]\n  21 -> 48 [size =\"51576832\"]\n  21 -> 49 [size =\"51576832\"]\n  22 [size=\"13012992\", alpha=\"0.09\", expect_size=\"6506496\"] \n  22 -> 36 [size =\"6506496\"]\n  22 -> 37 [size =\"6506496\"]\n  22 -> 40 [size =\"6506496\"]\n  22 -> 41 [size =\"6506496\"]\n  22 -> 47 [size =\"6506496\"]\n  22 -> 49 [size =\"6506496\"]\n  22 -> 49 [size =\"6506496\"]\n  23 [size=\"75194368\", alpha=\"0.16\", expect_size=\"37597184\"] \n  23 -> 36 [size =\"37597184\"]\n  23 -> 41 [size =\"37597184\"]\n  23 -> 42 [size =\"37597184\"]\n  23 -> 43 [size =\"37597184\"]\n  23 -> 45 [size =\"37597184\"]\n  23 -> 47 [size =\"37597184\"]\n  23 -> 50 [size =\"37597184\"]\n  24 [size=\"87937024\", alpha=\"0.04\", expect_size=\"43968512\"] \n  24 -> 35 [size =\"43968512\"]\n  24 -> 36 [size =\"43968512\"]\n  24 -> 38 [size =\"43968512\"]\n  24 -> 41 [size =\"43968512\"]\n  24 -> 42 [size =\"43968512\"]\n  24 -> 43 [size =\"43968512\"]\n  24 -> 47 [size =\"43968512\"]\n  24 -> 50 [size =\"43968512\"]\n  25 [size=\"11954176\", alpha=\"0.04\", expect_size=\"5977088\"] \n  25 -> 36 [size =\"5977088\"]\n  25 -> 36 [size =\"5977088\"]\n  25 -> 38 [size =\"5977088\"]\n  25 -> 39 [size =\"5977088\"]\n  25 -> 41 [size =\"5977088\"]\n  25 -> 45 [size =\"5977088\"]\n  25 -> 47 [size =\"5977088\"]\n  26 [size=\"83312640\", alpha=\"0.11\", expect_size=\"41656320\"] \n  26 -> 38 [size =\"41656320\"]\n  26 -> 41 [size =\"41656320\"]\n  26 -> 45 [size =\"41656320\"]\n  26 -> 46 [size =\"41656320\"]\n  26 -> 47 [size =\"41656320\"]\n  26 -> 49 [size =\"41656320\"]\n  27 [size=\"18307072\", alpha=\"0.17\", expect_size=\"9153536\"] \n  27 -> 37 [size =\"9153536\"]\n  27 -> 41 [size =\"9153536\"]\n  27 -> 42 [size =\"9153536\"]\n  27 -> 43 [size =\"9153536\"]\n  28 [size=\"66385920\", alpha=\"0.08\", expect_size=\"33192960\"] \n  28 -> 36 [size =\"33192960\"]\n  28 -> 38 [size =\"33192960\"]\n  28 -> 39 [size =\"33192960\"]\n  28 -> 41 [size =\"33192960\"]\n  28 -> 42 [size =\"33192960\"]\n  28 -> 43 [size =\"33192960\"]\n  28 -> 47 [size =\"33192960\"]\n  29 [size=\"103268352\", alpha=\"0.14\", expect_size=\"51634176\"] \n  29 -> 36 [size =\"51634176\"]\n  29 -> 40 [size =\"51634176\"]\n  29 -> 41 [size =\"51634176\"]\n  29 -> 41 [size =\"51634176\"]\n  29 -> 42 [size =\"51634176\"]\n  29 -> 43 [size =\"51634176\"]\n  29 -> 45 [size =\"51634176\"]\n  29 -> 47 [size =\"51634176\"]\n  29 -> 49 [size =\"51634176\"]\n  30 [size=\"70764544\", alpha=\"0.13\", expect_size=\"35382272\"] \n  30 -> 36 [size =\"35382272\"]\n  30 -> 41 [size =\"35382272\"]\n  30 -> 42 [size =\"35382272\"]\n  30 -> 45 [size =\"35382272\"]\n  30 -> 47 [size =\"35382272\"]\n  30 -> 48 [size =\"35382272\"]\n  31 [size=\"84547584\", alpha=\"0.03\", expect_size=\"42273792\"] \n  31 -> 36 [size =\"42273792\"]\n  31 -> 39 [size =\"42273792\"]\n  31 -> 40 [size =\"42273792\"]\n  31 -> 41 [size =\"42273792\"]\n  31 -> 47 [size =\"42273792\"]\n  31 -> 48 [size =\"42273792\"]\n  32 [size=\"58839040\", alpha=\"0.05\", expect_size=\"29419520\"] \n  32 -> 36 [size =\"29419520\"]\n  32 -> 38 [size =\"29419520\"]\n  32 -> 39 [size =\"29419520\"]\n  32 -> 42 [size =\"29419520\"]\n  32 -> 43 [size =\"29419520\"]\n  32 -> 47 [size =\"29419520\"]\n  32 -> 48 [size =\"29419520\"]\n  32 -> 49 [size =\"29419520\"]\n  32 -> 50 [size =\"29419520\"]\n  33 [size=\"103147520\", alpha=\"0.02\", expect_size=\"51573760\"] \n  33 -> 39 [size =\"51573760\"]\n  33 -> 42 [size =\"51573760\"]\n  33 -> 47 [size =\"51573760\"]\n  34 [size=\"82688000\", alpha=\"0.02\", expect_size=\"41344000\"] \n  34 -> 35 [size =\"41344000\"]\n  34 -> 36 [size =\"41344000\"]\n  34 -> 37 [size =\"41344000\"]\n  34 -> 39 [size =\"41344000\"]\n  34 -> 41 [size =\"41344000\"]\n  34 -> 42 [size =\"41344000\"]\n  34 -> 45 [size =\"41344000\"]\n  34 -> 46 [size =\"41344000\"]\n  34 -> 47 [size =\"41344000\"]\n  34 -> 49 [size =\"41344000\"]\n  35 [size=\"102367232\", alpha=\"0.09\", expect_size=\"51183616\"] \n  36 [size=\"27574272\", alpha=\"0.20\", expect_size=\"13787136\"] \n  37 [size=\"78831616\", alpha=\"0.14\", expect_size=\"39415808\"] \n  38 [size=\"65280000\", alpha=\"0.01\", expect_size=\"32640000\"] \n  39 [size=\"104398848\", alpha=\"0.05\", expect_size=\"52199424\"] \n  40 [size=\"77426688\", alpha=\"0.09\", expect_size=\"38713344\"] \n  41 [size=\"45971456\", alpha=\"0.13\", expect_size=\"22985728\"] \n  42 [size=\"58789888\", alpha=\"0.18\", expect_size=\"29394944\"] \n  43 [size=\"82266112\", alpha=\"0.17\", expect_size=\"41133056\"] \n  44 [size=\"89829376\", alpha=\"0.11\", expect_size=\"44914688\"] \n  45 [size=\"101052416\", alpha=\"0.07\", expect_size=\"50526208\"] \n  46 [size=\"48261120\", alpha=\"0.17\", expect_size=\"24130560\"] \n  47 [size=\"45924352\", alpha=\"0.09\", expect_size=\"22962176\"] \n  48 [size=\"17321984\", alpha=\"0.13\", expect_size=\"8660992\"] \n  49 [size=\"23384064\", alpha=\"0.17\", expect_size=\"11692032\"] \n  50 [size=\"45914112\", alpha=\"0.14\", expect_size=\"22957056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.699.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75644928\", alpha=\"0.20\", expect_size=\"37822464\"] \n  1 -> 42 [size =\"37822464\"]\n  1 -> 45 [size =\"37822464\"]\n  1 -> 48 [size =\"37822464\"]\n  1 -> 50 [size =\"37822464\"]\n  2 [size=\"66633728\", alpha=\"0.13\", expect_size=\"33316864\"] \n  2 -> 43 [size =\"33316864\"]\n  2 -> 45 [size =\"33316864\"]\n  2 -> 46 [size =\"33316864\"]\n  2 -> 49 [size =\"33316864\"]\n  2 -> 50 [size =\"33316864\"]\n  3 [size=\"74143744\", alpha=\"0.00\", expect_size=\"37071872\"] \n  3 -> 41 [size =\"37071872\"]\n  3 -> 42 [size =\"37071872\"]\n  3 -> 44 [size =\"37071872\"]\n  3 -> 45 [size =\"37071872\"]\n  3 -> 47 [size =\"37071872\"]\n  3 -> 48 [size =\"37071872\"]\n  3 -> 49 [size =\"37071872\"]\n  3 -> 50 [size =\"37071872\"]\n  4 [size=\"50663424\", alpha=\"0.03\", expect_size=\"25331712\"] \n  4 -> 45 [size =\"25331712\"]\n  4 -> 46 [size =\"25331712\"]\n  4 -> 47 [size =\"25331712\"]\n  4 -> 48 [size =\"25331712\"]\n  4 -> 49 [size =\"25331712\"]\n  4 -> 50 [size =\"25331712\"]\n  5 [size=\"14778368\", alpha=\"0.16\", expect_size=\"7389184\"] \n  5 -> 41 [size =\"7389184\"]\n  5 -> 45 [size =\"7389184\"]\n  5 -> 48 [size =\"7389184\"]\n  5 -> 49 [size =\"7389184\"]\n  5 -> 50 [size =\"7389184\"]\n  5 -> 50 [size =\"7389184\"]\n  6 [size=\"43706368\", alpha=\"0.16\", expect_size=\"21853184\"] \n  6 -> 45 [size =\"21853184\"]\n  6 -> 45 [size =\"21853184\"]\n  6 -> 48 [size =\"21853184\"]\n  7 [size=\"20555776\", alpha=\"0.07\", expect_size=\"10277888\"] \n  7 -> 45 [size =\"10277888\"]\n  7 -> 48 [size =\"10277888\"]\n  7 -> 49 [size =\"10277888\"]\n  8 [size=\"54728704\", alpha=\"0.02\", expect_size=\"27364352\"] \n  8 -> 43 [size =\"27364352\"]\n  8 -> 45 [size =\"27364352\"]\n  8 -> 48 [size =\"27364352\"]\n  8 -> 49 [size =\"27364352\"]\n  9 [size=\"70850560\", alpha=\"0.18\", expect_size=\"35425280\"] \n  9 -> 42 [size =\"35425280\"]\n  9 -> 43 [size =\"35425280\"]\n  9 -> 46 [size =\"35425280\"]\n  9 -> 48 [size =\"35425280\"]\n  9 -> 49 [size =\"35425280\"]\n  9 -> 50 [size =\"35425280\"]\n  10 [size=\"34572288\", alpha=\"0.16\", expect_size=\"17286144\"] \n  10 -> 45 [size =\"17286144\"]\n  10 -> 46 [size =\"17286144\"]\n  10 -> 48 [size =\"17286144\"]\n  10 -> 49 [size =\"17286144\"]\n  10 -> 50 [size =\"17286144\"]\n  11 [size=\"99266560\", alpha=\"0.01\", expect_size=\"49633280\"] \n  11 -> 42 [size =\"49633280\"]\n  11 -> 48 [size =\"49633280\"]\n  11 -> 49 [size =\"49633280\"]\n  11 -> 50 [size =\"49633280\"]\n  11 -> 50 [size =\"49633280\"]\n  12 [size=\"98312192\", alpha=\"0.08\", expect_size=\"49156096\"] \n  12 -> 42 [size =\"49156096\"]\n  12 -> 45 [size =\"49156096\"]\n  12 -> 46 [size =\"49156096\"]\n  12 -> 47 [size =\"49156096\"]\n  12 -> 49 [size =\"49156096\"]\n  12 -> 50 [size =\"49156096\"]\n  13 [size=\"66062336\", alpha=\"0.00\", expect_size=\"33031168\"] \n  13 -> 42 [size =\"33031168\"]\n  13 -> 49 [size =\"33031168\"]\n  13 -> 50 [size =\"33031168\"]\n  14 [size=\"66097152\", alpha=\"0.17\", expect_size=\"33048576\"] \n  14 -> 48 [size =\"33048576\"]\n  14 -> 49 [size =\"33048576\"]\n  14 -> 50 [size =\"33048576\"]\n  15 [size=\"82128896\", alpha=\"0.07\", expect_size=\"41064448\"] \n  15 -> 42 [size =\"41064448\"]\n  15 -> 45 [size =\"41064448\"]\n  15 -> 47 [size =\"41064448\"]\n  15 -> 48 [size =\"41064448\"]\n  15 -> 49 [size =\"41064448\"]\n  15 -> 50 [size =\"41064448\"]\n  16 [size=\"61589504\", alpha=\"0.15\", expect_size=\"30794752\"] \n  16 -> 42 [size =\"30794752\"]\n  16 -> 48 [size =\"30794752\"]\n  16 -> 49 [size =\"30794752\"]\n  16 -> 50 [size =\"30794752\"]\n  17 [size=\"41263104\", alpha=\"0.01\", expect_size=\"20631552\"] \n  17 -> 42 [size =\"20631552\"]\n  17 -> 45 [size =\"20631552\"]\n  17 -> 46 [size =\"20631552\"]\n  17 -> 48 [size =\"20631552\"]\n  18 [size=\"74137600\", alpha=\"0.17\", expect_size=\"37068800\"] \n  18 -> 42 [size =\"37068800\"]\n  18 -> 45 [size =\"37068800\"]\n  18 -> 46 [size =\"37068800\"]\n  18 -> 47 [size =\"37068800\"]\n  18 -> 48 [size =\"37068800\"]\n  18 -> 50 [size =\"37068800\"]\n  19 [size=\"83683328\", alpha=\"0.10\", expect_size=\"41841664\"] \n  19 -> 45 [size =\"41841664\"]\n  19 -> 45 [size =\"41841664\"]\n  19 -> 48 [size =\"41841664\"]\n  19 -> 49 [size =\"41841664\"]\n  20 [size=\"74842112\", alpha=\"0.14\", expect_size=\"37421056\"] \n  20 -> 43 [size =\"37421056\"]\n  20 -> 45 [size =\"37421056\"]\n  21 [size=\"56356864\", alpha=\"0.12\", expect_size=\"28178432\"] \n  21 -> 42 [size =\"28178432\"]\n  21 -> 45 [size =\"28178432\"]\n  21 -> 49 [size =\"28178432\"]\n  21 -> 50 [size =\"28178432\"]\n  22 [size=\"61343744\", alpha=\"0.01\", expect_size=\"30671872\"] \n  22 -> 42 [size =\"30671872\"]\n  22 -> 45 [size =\"30671872\"]\n  22 -> 46 [size =\"30671872\"]\n  22 -> 49 [size =\"30671872\"]\n  22 -> 50 [size =\"30671872\"]\n  23 [size=\"97372160\", alpha=\"0.04\", expect_size=\"48686080\"] \n  23 -> 42 [size =\"48686080\"]\n  23 -> 43 [size =\"48686080\"]\n  23 -> 48 [size =\"48686080\"]\n  23 -> 50 [size =\"48686080\"]\n  24 [size=\"99117056\", alpha=\"0.16\", expect_size=\"49558528\"] \n  24 -> 43 [size =\"49558528\"]\n  24 -> 45 [size =\"49558528\"]\n  24 -> 49 [size =\"49558528\"]\n  25 [size=\"86890496\", alpha=\"0.08\", expect_size=\"43445248\"] \n  25 -> 42 [size =\"43445248\"]\n  25 -> 45 [size =\"43445248\"]\n  25 -> 46 [size =\"43445248\"]\n  25 -> 48 [size =\"43445248\"]\n  25 -> 49 [size =\"43445248\"]\n  25 -> 50 [size =\"43445248\"]\n  26 [size=\"24446976\", alpha=\"0.08\", expect_size=\"12223488\"] \n  26 -> 42 [size =\"12223488\"]\n  26 -> 50 [size =\"12223488\"]\n  27 [size=\"96612352\", alpha=\"0.09\", expect_size=\"48306176\"] \n  27 -> 48 [size =\"48306176\"]\n  27 -> 50 [size =\"48306176\"]\n  28 [size=\"101646336\", alpha=\"0.00\", expect_size=\"50823168\"] \n  28 -> 41 [size =\"50823168\"]\n  28 -> 42 [size =\"50823168\"]\n  28 -> 45 [size =\"50823168\"]\n  28 -> 46 [size =\"50823168\"]\n  28 -> 50 [size =\"50823168\"]\n  29 [size=\"89593856\", alpha=\"0.04\", expect_size=\"44796928\"] \n  29 -> 41 [size =\"44796928\"]\n  29 -> 42 [size =\"44796928\"]\n  29 -> 45 [size =\"44796928\"]\n  29 -> 49 [size =\"44796928\"]\n  29 -> 50 [size =\"44796928\"]\n  30 [size=\"42620928\", alpha=\"0.13\", expect_size=\"21310464\"] \n  30 -> 41 [size =\"21310464\"]\n  30 -> 42 [size =\"21310464\"]\n  30 -> 45 [size =\"21310464\"]\n  30 -> 46 [size =\"21310464\"]\n  30 -> 47 [size =\"21310464\"]\n  30 -> 48 [size =\"21310464\"]\n  30 -> 49 [size =\"21310464\"]\n  31 [size=\"13742080\", alpha=\"0.01\", expect_size=\"6871040\"] \n  31 -> 42 [size =\"6871040\"]\n  31 -> 42 [size =\"6871040\"]\n  31 -> 49 [size =\"6871040\"]\n  32 [size=\"68112384\", alpha=\"0.07\", expect_size=\"34056192\"] \n  32 -> 42 [size =\"34056192\"]\n  32 -> 48 [size =\"34056192\"]\n  32 -> 49 [size =\"34056192\"]\n  33 [size=\"73142272\", alpha=\"0.05\", expect_size=\"36571136\"] \n  33 -> 42 [size =\"36571136\"]\n  33 -> 46 [size =\"36571136\"]\n  33 -> 48 [size =\"36571136\"]\n  33 -> 49 [size =\"36571136\"]\n  34 [size=\"92487680\", alpha=\"0.15\", expect_size=\"46243840\"] \n  34 -> 41 [size =\"46243840\"]\n  34 -> 48 [size =\"46243840\"]\n  34 -> 48 [size =\"46243840\"]\n  34 -> 49 [size =\"46243840\"]\n  35 [size=\"71958528\", alpha=\"0.00\", expect_size=\"35979264\"] \n  35 -> 42 [size =\"35979264\"]\n  35 -> 45 [size =\"35979264\"]\n  35 -> 46 [size =\"35979264\"]\n  35 -> 48 [size =\"35979264\"]\n  36 [size=\"15847424\", alpha=\"0.16\", expect_size=\"7923712\"] \n  36 -> 41 [size =\"7923712\"]\n  36 -> 42 [size =\"7923712\"]\n  36 -> 43 [size =\"7923712\"]\n  36 -> 45 [size =\"7923712\"]\n  36 -> 49 [size =\"7923712\"]\n  37 [size=\"51750912\", alpha=\"0.18\", expect_size=\"25875456\"] \n  37 -> 45 [size =\"25875456\"]\n  37 -> 46 [size =\"25875456\"]\n  37 -> 48 [size =\"25875456\"]\n  37 -> 49 [size =\"25875456\"]\n  37 -> 50 [size =\"25875456\"]\n  38 [size=\"95363072\", alpha=\"0.14\", expect_size=\"47681536\"] \n  38 -> 43 [size =\"47681536\"]\n  38 -> 45 [size =\"47681536\"]\n  38 -> 46 [size =\"47681536\"]\n  38 -> 49 [size =\"47681536\"]\n  39 [size=\"96559104\", alpha=\"0.06\", expect_size=\"48279552\"] \n  39 -> 42 [size =\"48279552\"]\n  39 -> 45 [size =\"48279552\"]\n  39 -> 46 [size =\"48279552\"]\n  39 -> 50 [size =\"48279552\"]\n  40 [size=\"21334016\", alpha=\"0.11\", expect_size=\"10667008\"] \n  40 -> 42 [size =\"10667008\"]\n  40 -> 45 [size =\"10667008\"]\n  40 -> 48 [size =\"10667008\"]\n  40 -> 50 [size =\"10667008\"]\n  41 [size=\"82518016\", alpha=\"0.06\", expect_size=\"41259008\"] \n  42 [size=\"85778432\", alpha=\"0.11\", expect_size=\"42889216\"] \n  43 [size=\"24571904\", alpha=\"0.15\", expect_size=\"12285952\"] \n  44 [size=\"48846848\", alpha=\"0.18\", expect_size=\"24423424\"] \n  45 [size=\"25473024\", alpha=\"0.17\", expect_size=\"12736512\"] \n  46 [size=\"26093568\", alpha=\"0.19\", expect_size=\"13046784\"] \n  47 [size=\"101814272\", alpha=\"0.19\", expect_size=\"50907136\"] \n  48 [size=\"94668800\", alpha=\"0.19\", expect_size=\"47334400\"] \n  49 [size=\"68311040\", alpha=\"0.15\", expect_size=\"34155520\"] \n  50 [size=\"95938560\", alpha=\"0.18\", expect_size=\"47969280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129216000\", alpha=\"0.19\", expect_size=\"51686400\"] \n  1 -> 29 [size =\"51686400\"]\n  1 -> 30 [size =\"51686400\"]\n  1 -> 33 [size =\"51686400\"]\n  1 -> 36 [size =\"51686400\"]\n  1 -> 42 [size =\"51686400\"]\n  2 [size=\"35632640\", alpha=\"0.15\", expect_size=\"14253056\"] \n  2 -> 22 [size =\"14253056\"]\n  2 -> 24 [size =\"14253056\"]\n  2 -> 31 [size =\"14253056\"]\n  2 -> 41 [size =\"14253056\"]\n  3 [size=\"55242240\", alpha=\"0.10\", expect_size=\"22096896\"] \n  3 -> 24 [size =\"22096896\"]\n  3 -> 26 [size =\"22096896\"]\n  3 -> 28 [size =\"22096896\"]\n  3 -> 31 [size =\"22096896\"]\n  3 -> 32 [size =\"22096896\"]\n  3 -> 34 [size =\"22096896\"]\n  3 -> 35 [size =\"22096896\"]\n  3 -> 39 [size =\"22096896\"]\n  3 -> 41 [size =\"22096896\"]\n  4 [size=\"123200000\", alpha=\"0.18\", expect_size=\"49280000\"] \n  4 -> 27 [size =\"49280000\"]\n  4 -> 28 [size =\"49280000\"]\n  4 -> 29 [size =\"49280000\"]\n  4 -> 30 [size =\"49280000\"]\n  4 -> 31 [size =\"49280000\"]\n  4 -> 33 [size =\"49280000\"]\n  4 -> 42 [size =\"49280000\"]\n  5 [size=\"114385920\", alpha=\"0.17\", expect_size=\"45754368\"] \n  5 -> 24 [size =\"45754368\"]\n  5 -> 27 [size =\"45754368\"]\n  5 -> 30 [size =\"45754368\"]\n  5 -> 32 [size =\"45754368\"]\n  5 -> 33 [size =\"45754368\"]\n  5 -> 34 [size =\"45754368\"]\n  5 -> 41 [size =\"45754368\"]\n  5 -> 42 [size =\"45754368\"]\n  6 [size=\"15854080\", alpha=\"0.11\", expect_size=\"6341632\"] \n  6 -> 26 [size =\"6341632\"]\n  6 -> 30 [size =\"6341632\"]\n  6 -> 30 [size =\"6341632\"]\n  6 -> 31 [size =\"6341632\"]\n  6 -> 38 [size =\"6341632\"]\n  6 -> 39 [size =\"6341632\"]\n  6 -> 42 [size =\"6341632\"]\n  7 [size=\"122475520\", alpha=\"0.18\", expect_size=\"48990208\"] \n  7 -> 22 [size =\"48990208\"]\n  7 -> 25 [size =\"48990208\"]\n  7 -> 26 [size =\"48990208\"]\n  7 -> 27 [size =\"48990208\"]\n  7 -> 29 [size =\"48990208\"]\n  7 -> 36 [size =\"48990208\"]\n  7 -> 39 [size =\"48990208\"]\n  8 [size=\"61749760\", alpha=\"0.00\", expect_size=\"24699904\"] \n  8 -> 25 [size =\"24699904\"]\n  8 -> 28 [size =\"24699904\"]\n  8 -> 29 [size =\"24699904\"]\n  8 -> 32 [size =\"24699904\"]\n  8 -> 33 [size =\"24699904\"]\n  8 -> 34 [size =\"24699904\"]\n  8 -> 36 [size =\"24699904\"]\n  9 [size=\"69373440\", alpha=\"0.10\", expect_size=\"27749376\"] \n  9 -> 25 [size =\"27749376\"]\n  9 -> 26 [size =\"27749376\"]\n  9 -> 27 [size =\"27749376\"]\n  9 -> 34 [size =\"27749376\"]\n  9 -> 36 [size =\"27749376\"]\n  9 -> 37 [size =\"27749376\"]\n  9 -> 39 [size =\"27749376\"]\n  9 -> 41 [size =\"27749376\"]\n  10 [size=\"23436800\", alpha=\"0.09\", expect_size=\"9374720\"] \n  10 -> 23 [size =\"9374720\"]\n  10 -> 24 [size =\"9374720\"]\n  10 -> 25 [size =\"9374720\"]\n  10 -> 27 [size =\"9374720\"]\n  10 -> 31 [size =\"9374720\"]\n  10 -> 36 [size =\"9374720\"]\n  10 -> 42 [size =\"9374720\"]\n  11 [size=\"119229440\", alpha=\"0.13\", expect_size=\"47691776\"] \n  11 -> 24 [size =\"47691776\"]\n  11 -> 25 [size =\"47691776\"]\n  11 -> 25 [size =\"47691776\"]\n  11 -> 31 [size =\"47691776\"]\n  11 -> 31 [size =\"47691776\"]\n  11 -> 32 [size =\"47691776\"]\n  11 -> 35 [size =\"47691776\"]\n  11 -> 41 [size =\"47691776\"]\n  11 -> 42 [size =\"47691776\"]\n  12 [size=\"114874880\", alpha=\"0.19\", expect_size=\"45949952\"] \n  12 -> 26 [size =\"45949952\"]\n  12 -> 32 [size =\"45949952\"]\n  12 -> 35 [size =\"45949952\"]\n  12 -> 36 [size =\"45949952\"]\n  12 -> 42 [size =\"45949952\"]\n  13 [size=\"86545920\", alpha=\"0.14\", expect_size=\"34618368\"] \n  13 -> 25 [size =\"34618368\"]\n  13 -> 30 [size =\"34618368\"]\n  13 -> 36 [size =\"34618368\"]\n  13 -> 40 [size =\"34618368\"]\n  13 -> 41 [size =\"34618368\"]\n  13 -> 42 [size =\"34618368\"]\n  14 [size=\"29890560\", alpha=\"0.16\", expect_size=\"11956224\"] \n  14 -> 24 [size =\"11956224\"]\n  14 -> 26 [size =\"11956224\"]\n  14 -> 27 [size =\"11956224\"]\n  14 -> 32 [size =\"11956224\"]\n  14 -> 34 [size =\"11956224\"]\n  14 -> 35 [size =\"11956224\"]\n  14 -> 39 [size =\"11956224\"]\n  15 [size=\"15275520\", alpha=\"0.06\", expect_size=\"6110208\"] \n  15 -> 25 [size =\"6110208\"]\n  15 -> 26 [size =\"6110208\"]\n  15 -> 29 [size =\"6110208\"]\n  15 -> 32 [size =\"6110208\"]\n  15 -> 36 [size =\"6110208\"]\n  15 -> 39 [size =\"6110208\"]\n  15 -> 42 [size =\"6110208\"]\n  16 [size=\"113364480\", alpha=\"0.14\", expect_size=\"45345792\"] \n  16 -> 29 [size =\"45345792\"]\n  16 -> 30 [size =\"45345792\"]\n  16 -> 32 [size =\"45345792\"]\n  16 -> 36 [size =\"45345792\"]\n  16 -> 39 [size =\"45345792\"]\n  16 -> 41 [size =\"45345792\"]\n  16 -> 42 [size =\"45345792\"]\n  17 [size=\"61130240\", alpha=\"0.14\", expect_size=\"24452096\"] \n  17 -> 26 [size =\"24452096\"]\n  17 -> 28 [size =\"24452096\"]\n  17 -> 29 [size =\"24452096\"]\n  17 -> 30 [size =\"24452096\"]\n  17 -> 32 [size =\"24452096\"]\n  17 -> 34 [size =\"24452096\"]\n  17 -> 42 [size =\"24452096\"]\n  18 [size=\"49925120\", alpha=\"0.05\", expect_size=\"19970048\"] \n  18 -> 25 [size =\"19970048\"]\n  18 -> 26 [size =\"19970048\"]\n  18 -> 36 [size =\"19970048\"]\n  19 [size=\"50534400\", alpha=\"0.06\", expect_size=\"20213760\"] \n  19 -> 25 [size =\"20213760\"]\n  19 -> 29 [size =\"20213760\"]\n  19 -> 31 [size =\"20213760\"]\n  19 -> 33 [size =\"20213760\"]\n  19 -> 34 [size =\"20213760\"]\n  19 -> 35 [size =\"20213760\"]\n  19 -> 41 [size =\"20213760\"]\n  19 -> 42 [size =\"20213760\"]\n  20 [size=\"110991360\", alpha=\"0.05\", expect_size=\"44396544\"] \n  20 -> 28 [size =\"44396544\"]\n  20 -> 30 [size =\"44396544\"]\n  20 -> 31 [size =\"44396544\"]\n  20 -> 36 [size =\"44396544\"]\n  20 -> 41 [size =\"44396544\"]\n  21 [size=\"48870400\", alpha=\"0.05\", expect_size=\"19548160\"] \n  21 -> 22 [size =\"19548160\"]\n  21 -> 25 [size =\"19548160\"]\n  21 -> 26 [size =\"19548160\"]\n  21 -> 27 [size =\"19548160\"]\n  21 -> 28 [size =\"19548160\"]\n  21 -> 29 [size =\"19548160\"]\n  21 -> 34 [size =\"19548160\"]\n  21 -> 36 [size =\"19548160\"]\n  22 [size=\"128363520\", alpha=\"0.08\", expect_size=\"51345408\"] \n  22 -> 43 [size =\"51345408\"]\n  22 -> 44 [size =\"51345408\"]\n  22 -> 45 [size =\"51345408\"]\n  22 -> 48 [size =\"51345408\"]\n  22 -> 49 [size =\"51345408\"]\n  23 [size=\"121651200\", alpha=\"0.18\", expect_size=\"48660480\"] \n  23 -> 45 [size =\"48660480\"]\n  23 -> 48 [size =\"48660480\"]\n  23 -> 49 [size =\"48660480\"]\n  24 [size=\"86581760\", alpha=\"0.07\", expect_size=\"34632704\"] \n  24 -> 44 [size =\"34632704\"]\n  24 -> 45 [size =\"34632704\"]\n  24 -> 48 [size =\"34632704\"]\n  24 -> 49 [size =\"34632704\"]\n  25 [size=\"61127680\", alpha=\"0.12\", expect_size=\"24451072\"] \n  25 -> 43 [size =\"24451072\"]\n  25 -> 44 [size =\"24451072\"]\n  25 -> 48 [size =\"24451072\"]\n  25 -> 50 [size =\"24451072\"]\n  26 [size=\"94446080\", alpha=\"0.19\", expect_size=\"37778432\"] \n  26 -> 43 [size =\"37778432\"]\n  26 -> 44 [size =\"37778432\"]\n  26 -> 48 [size =\"37778432\"]\n  27 [size=\"60938240\", alpha=\"0.04\", expect_size=\"24375296\"] \n  27 -> 43 [size =\"24375296\"]\n  27 -> 44 [size =\"24375296\"]\n  27 -> 46 [size =\"24375296\"]\n  28 [size=\"24212480\", alpha=\"0.17\", expect_size=\"9684992\"] \n  28 -> 44 [size =\"9684992\"]\n  28 -> 46 [size =\"9684992\"]\n  29 [size=\"54440960\", alpha=\"0.20\", expect_size=\"21776384\"] \n  30 [size=\"89827840\", alpha=\"0.04\", expect_size=\"35931136\"] \n  30 -> 43 [size =\"35931136\"]\n  30 -> 44 [size =\"35931136\"]\n  30 -> 45 [size =\"35931136\"]\n  30 -> 48 [size =\"35931136\"]\n  31 [size=\"122099200\", alpha=\"0.07\", expect_size=\"48839680\"] \n  31 -> 47 [size =\"48839680\"]\n  31 -> 49 [size =\"48839680\"]\n  31 -> 50 [size =\"48839680\"]\n  32 [size=\"31436800\", alpha=\"0.07\", expect_size=\"12574720\"] \n  32 -> 49 [size =\"12574720\"]\n  33 [size=\"76295680\", alpha=\"0.19\", expect_size=\"30518272\"] \n  33 -> 45 [size =\"30518272\"]\n  33 -> 49 [size =\"30518272\"]\n  34 [size=\"62883840\", alpha=\"0.14\", expect_size=\"25153536\"] \n  34 -> 45 [size =\"25153536\"]\n  34 -> 46 [size =\"25153536\"]\n  34 -> 48 [size =\"25153536\"]\n  34 -> 49 [size =\"25153536\"]\n  35 [size=\"101294080\", alpha=\"0.09\", expect_size=\"40517632\"] \n  35 -> 43 [size =\"40517632\"]\n  35 -> 45 [size =\"40517632\"]\n  35 -> 49 [size =\"40517632\"]\n  36 [size=\"56880640\", alpha=\"0.02\", expect_size=\"22752256\"] \n  36 -> 43 [size =\"22752256\"]\n  36 -> 47 [size =\"22752256\"]\n  36 -> 50 [size =\"22752256\"]\n  37 [size=\"50355200\", alpha=\"0.02\", expect_size=\"20142080\"] \n  37 -> 43 [size =\"20142080\"]\n  37 -> 44 [size =\"20142080\"]\n  37 -> 45 [size =\"20142080\"]\n  37 -> 48 [size =\"20142080\"]\n  38 [size=\"73121280\", alpha=\"0.09\", expect_size=\"29248512\"] \n  38 -> 43 [size =\"29248512\"]\n  38 -> 48 [size =\"29248512\"]\n  39 [size=\"55861760\", alpha=\"0.02\", expect_size=\"22344704\"] \n  39 -> 44 [size =\"22344704\"]\n  39 -> 48 [size =\"22344704\"]\n  39 -> 49 [size =\"22344704\"]\n  40 [size=\"54842880\", alpha=\"0.12\", expect_size=\"21937152\"] \n  40 -> 44 [size =\"21937152\"]\n  40 -> 48 [size =\"21937152\"]\n  40 -> 49 [size =\"21937152\"]\n  41 [size=\"80391680\", alpha=\"0.08\", expect_size=\"32156672\"] \n  41 -> 43 [size =\"32156672\"]\n  41 -> 44 [size =\"32156672\"]\n  41 -> 47 [size =\"32156672\"]\n  41 -> 48 [size =\"32156672\"]\n  41 -> 49 [size =\"32156672\"]\n  42 [size=\"120673280\", alpha=\"0.03\", expect_size=\"48269312\"] \n  42 -> 43 [size =\"48269312\"]\n  42 -> 45 [size =\"48269312\"]\n  42 -> 46 [size =\"48269312\"]\n  42 -> 48 [size =\"48269312\"]\n  42 -> 49 [size =\"48269312\"]\n  43 [size=\"41523200\", alpha=\"0.17\", expect_size=\"16609280\"] \n  44 [size=\"34344960\", alpha=\"0.03\", expect_size=\"13737984\"] \n  45 [size=\"115927040\", alpha=\"0.17\", expect_size=\"46370816\"] \n  46 [size=\"52508160\", alpha=\"0.05\", expect_size=\"21003264\"] \n  47 [size=\"62310400\", alpha=\"0.02\", expect_size=\"24924160\"] \n  48 [size=\"75397120\", alpha=\"0.20\", expect_size=\"30158848\"] \n  49 [size=\"128581120\", alpha=\"0.05\", expect_size=\"51432448\"] \n  50 [size=\"23367680\", alpha=\"0.03\", expect_size=\"9347072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60037120\", alpha=\"0.03\", expect_size=\"18011136\"] \n  2 [size=\"73512960\", alpha=\"0.19\", expect_size=\"22053888\"] \n  2 -> 3 [size =\"22053888\"]\n  2 -> 4 [size =\"22053888\"]\n  3 [size=\"37638827\", alpha=\"0.01\", expect_size=\"11291648\"] \n  3 -> 5 [size =\"11291648\"]\n  3 -> 7 [size =\"11291648\"]\n  4 [size=\"131768320\", alpha=\"0.01\", expect_size=\"39530496\"] \n  4 -> 6 [size =\"39530496\"]\n  4 -> 7 [size =\"39530496\"]\n  5 [size=\"122910720\", alpha=\"0.19\", expect_size=\"36873216\"] \n  5 -> 8 [size =\"36873216\"]\n  5 -> 9 [size =\"36873216\"]\n  6 [size=\"89019733\", alpha=\"0.18\", expect_size=\"26705920\"] \n  6 -> 8 [size =\"26705920\"]\n  7 [size=\"128259413\", alpha=\"0.07\", expect_size=\"38477824\"] \n  8 [size=\"36515840\", alpha=\"0.19\", expect_size=\"10954752\"] \n  8 -> 10 [size =\"10954752\"]\n  8 -> 11 [size =\"10954752\"]\n  8 -> 12 [size =\"10954752\"]\n  9 [size=\"164939093\", alpha=\"0.07\", expect_size=\"49481728\"] \n  9 -> 11 [size =\"49481728\"]\n  9 -> 12 [size =\"49481728\"]\n  10 [size=\"106366293\", alpha=\"0.13\", expect_size=\"31909888\"] \n  10 -> 13 [size =\"31909888\"]\n  10 -> 15 [size =\"31909888\"]\n  11 [size=\"54981973\", alpha=\"0.14\", expect_size=\"16494592\"] \n  11 -> 15 [size =\"16494592\"]\n  12 [size=\"80906240\", alpha=\"0.13\", expect_size=\"24271872\"] \n  12 -> 14 [size =\"24271872\"]\n  13 [size=\"70536533\", alpha=\"0.17\", expect_size=\"21160960\"] \n  13 -> 17 [size =\"21160960\"]\n  14 [size=\"79045973\", alpha=\"0.03\", expect_size=\"23713792\"] \n  15 [size=\"88695467\", alpha=\"0.16\", expect_size=\"26608640\"] \n  15 -> 16 [size =\"26608640\"]\n  16 [size=\"80541013\", alpha=\"0.12\", expect_size=\"24162304\"] \n  16 -> 19 [size =\"24162304\"]\n  17 [size=\"63088640\", alpha=\"0.08\", expect_size=\"18926592\"] \n  17 -> 18 [size =\"18926592\"]\n  17 -> 19 [size =\"18926592\"]\n  17 -> 20 [size =\"18926592\"]\n  18 [size=\"116616533\", alpha=\"0.15\", expect_size=\"34984960\"] \n  18 -> 21 [size =\"34984960\"]\n  18 -> 22 [size =\"34984960\"]\n  19 [size=\"107912533\", alpha=\"0.16\", expect_size=\"32373760\"] \n  20 [size=\"159232000\", alpha=\"0.06\", expect_size=\"47769600\"] \n  20 -> 21 [size =\"47769600\"]\n  21 [size=\"104973653\", alpha=\"0.00\", expect_size=\"31492096\"] \n  21 -> 23 [size =\"31492096\"]\n  21 -> 24 [size =\"31492096\"]\n  22 [size=\"56019627\", alpha=\"0.02\", expect_size=\"16805888\"] \n  22 -> 23 [size =\"16805888\"]\n  23 [size=\"159597227\", alpha=\"0.07\", expect_size=\"47879168\"] \n  24 [size=\"139656533\", alpha=\"0.06\", expect_size=\"41896960\"] \n  24 -> 25 [size =\"41896960\"]\n  24 -> 26 [size =\"41896960\"]\n  25 [size=\"166905173\", alpha=\"0.18\", expect_size=\"50071552\"] \n  25 -> 27 [size =\"50071552\"]\n  26 [size=\"133956267\", alpha=\"0.19\", expect_size=\"40186880\"] \n  26 -> 28 [size =\"40186880\"]\n  27 [size=\"68935680\", alpha=\"0.15\", expect_size=\"20680704\"] \n  27 -> 29 [size =\"20680704\"]\n  27 -> 30 [size =\"20680704\"]\n  28 [size=\"133068800\", alpha=\"0.13\", expect_size=\"39920640\"] \n  28 -> 29 [size =\"39920640\"]\n  29 [size=\"90067627\", alpha=\"0.10\", expect_size=\"27020288\"] \n  29 -> 32 [size =\"27020288\"]\n  30 [size=\"61446827\", alpha=\"0.18\", expect_size=\"18434048\"] \n  30 -> 31 [size =\"18434048\"]\n  30 -> 32 [size =\"18434048\"]\n  30 -> 33 [size =\"18434048\"]\n  31 [size=\"106079573\", alpha=\"0.10\", expect_size=\"31823872\"] \n  32 [size=\"109247147\", alpha=\"0.11\", expect_size=\"32774144\"] \n  32 -> 34 [size =\"32774144\"]\n  32 -> 36 [size =\"32774144\"]\n  33 [size=\"126979413\", alpha=\"0.19\", expect_size=\"38093824\"] \n  33 -> 34 [size =\"38093824\"]\n  33 -> 35 [size =\"38093824\"]\n  34 [size=\"22159360\", alpha=\"0.14\", expect_size=\"6647808\"] \n  35 [size=\"66368853\", alpha=\"0.19\", expect_size=\"19910656\"] \n  35 -> 38 [size =\"19910656\"]\n  35 -> 39 [size =\"19910656\"]\n  36 [size=\"50462720\", alpha=\"0.11\", expect_size=\"15138816\"] \n  36 -> 37 [size =\"15138816\"]\n  36 -> 39 [size =\"15138816\"]\n  37 [size=\"45991253\", alpha=\"0.10\", expect_size=\"13797376\"] \n  37 -> 40 [size =\"13797376\"]\n  38 [size=\"163741013\", alpha=\"0.01\", expect_size=\"49122304\"] \n  38 -> 41 [size =\"49122304\"]\n  39 [size=\"108175360\", alpha=\"0.03\", expect_size=\"32452608\"] \n  39 -> 40 [size =\"32452608\"]\n  40 [size=\"26760533\", alpha=\"0.03\", expect_size=\"8028160\"] \n  40 -> 42 [size =\"8028160\"]\n  40 -> 43 [size =\"8028160\"]\n  40 -> 44 [size =\"8028160\"]\n  41 [size=\"165676373\", alpha=\"0.15\", expect_size=\"49702912\"] \n  41 -> 42 [size =\"49702912\"]\n  41 -> 43 [size =\"49702912\"]\n  42 [size=\"90569387\", alpha=\"0.11\", expect_size=\"27170816\"] \n  42 -> 45 [size =\"27170816\"]\n  42 -> 46 [size =\"27170816\"]\n  43 [size=\"22159360\", alpha=\"0.06\", expect_size=\"6647808\"] \n  43 -> 46 [size =\"6647808\"]\n  44 [size=\"170792960\", alpha=\"0.16\", expect_size=\"51237888\"] \n  45 [size=\"126180693\", alpha=\"0.05\", expect_size=\"37854208\"] \n  45 -> 47 [size =\"37854208\"]\n  45 -> 48 [size =\"37854208\"]\n  46 [size=\"116831573\", alpha=\"0.09\", expect_size=\"35049472\"] \n  46 -> 47 [size =\"35049472\"]\n  47 [size=\"48527360\", alpha=\"0.19\", expect_size=\"14558208\"] \n  48 [size=\"124163413\", alpha=\"0.05\", expect_size=\"37249024\"] \n  48 -> 49 [size =\"37249024\"]\n  48 -> 50 [size =\"37249024\"]\n  49 [size=\"128310613\", alpha=\"0.19\", expect_size=\"38493184\"] \n  50 [size=\"151412053\", alpha=\"0.19\", expect_size=\"45423616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.700.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40110080\", alpha=\"0.15\", expect_size=\"20055040\"] \n  1 -> 7 [size =\"20055040\"]\n  2 [size=\"25952256\", alpha=\"0.01\", expect_size=\"12976128\"] \n  2 -> 6 [size =\"12976128\"]\n  3 [size=\"95256576\", alpha=\"0.18\", expect_size=\"47628288\"] \n  3 -> 6 [size =\"47628288\"]\n  3 -> 8 [size =\"47628288\"]\n  3 -> 9 [size =\"47628288\"]\n  4 [size=\"88446976\", alpha=\"0.15\", expect_size=\"44223488\"] \n  4 -> 7 [size =\"44223488\"]\n  4 -> 8 [size =\"44223488\"]\n  5 [size=\"49463296\", alpha=\"0.15\", expect_size=\"24731648\"] \n  5 -> 7 [size =\"24731648\"]\n  5 -> 8 [size =\"24731648\"]\n  6 [size=\"38516736\", alpha=\"0.12\", expect_size=\"19258368\"] \n  6 -> 10 [size =\"19258368\"]\n  6 -> 11 [size =\"19258368\"]\n  6 -> 12 [size =\"19258368\"]\n  6 -> 13 [size =\"19258368\"]\n  6 -> 14 [size =\"19258368\"]\n  6 -> 15 [size =\"19258368\"]\n  7 [size=\"61771776\", alpha=\"0.08\", expect_size=\"30885888\"] \n  7 -> 11 [size =\"30885888\"]\n  7 -> 13 [size =\"30885888\"]\n  8 [size=\"100173824\", alpha=\"0.08\", expect_size=\"50086912\"] \n  8 -> 10 [size =\"50086912\"]\n  8 -> 14 [size =\"50086912\"]\n  8 -> 15 [size =\"50086912\"]\n  9 [size=\"34172928\", alpha=\"0.16\", expect_size=\"17086464\"] \n  9 -> 10 [size =\"17086464\"]\n  9 -> 11 [size =\"17086464\"]\n  9 -> 13 [size =\"17086464\"]\n  9 -> 15 [size =\"17086464\"]\n  10 [size=\"85356544\", alpha=\"0.01\", expect_size=\"42678272\"] \n  10 -> 16 [size =\"42678272\"]\n  10 -> 17 [size =\"42678272\"]\n  10 -> 20 [size =\"42678272\"]\n  11 [size=\"65761280\", alpha=\"0.11\", expect_size=\"32880640\"] \n  11 -> 16 [size =\"32880640\"]\n  11 -> 20 [size =\"32880640\"]\n  12 [size=\"42889216\", alpha=\"0.07\", expect_size=\"21444608\"] \n  12 -> 16 [size =\"21444608\"]\n  12 -> 17 [size =\"21444608\"]\n  12 -> 19 [size =\"21444608\"]\n  12 -> 20 [size =\"21444608\"]\n  12 -> 21 [size =\"21444608\"]\n  12 -> 23 [size =\"21444608\"]\n  13 [size=\"46503936\", alpha=\"0.10\", expect_size=\"23251968\"] \n  13 -> 20 [size =\"23251968\"]\n  14 [size=\"36308992\", alpha=\"0.13\", expect_size=\"18154496\"] \n  14 -> 16 [size =\"18154496\"]\n  14 -> 17 [size =\"18154496\"]\n  14 -> 22 [size =\"18154496\"]\n  15 [size=\"14129152\", alpha=\"0.08\", expect_size=\"7064576\"] \n  15 -> 16 [size =\"7064576\"]\n  15 -> 17 [size =\"7064576\"]\n  15 -> 18 [size =\"7064576\"]\n  15 -> 19 [size =\"7064576\"]\n  16 [size=\"82755584\", alpha=\"0.20\", expect_size=\"41377792\"] \n  16 -> 27 [size =\"41377792\"]\n  17 [size=\"42967040\", alpha=\"0.12\", expect_size=\"21483520\"] \n  17 -> 25 [size =\"21483520\"]\n  17 -> 27 [size =\"21483520\"]\n  17 -> 28 [size =\"21483520\"]\n  18 [size=\"81264640\", alpha=\"0.07\", expect_size=\"40632320\"] \n  18 -> 25 [size =\"40632320\"]\n  18 -> 27 [size =\"40632320\"]\n  18 -> 29 [size =\"40632320\"]\n  19 [size=\"26705920\", alpha=\"0.19\", expect_size=\"13352960\"] \n  19 -> 26 [size =\"13352960\"]\n  19 -> 29 [size =\"13352960\"]\n  20 [size=\"100800512\", alpha=\"0.13\", expect_size=\"50400256\"] \n  20 -> 24 [size =\"50400256\"]\n  20 -> 28 [size =\"50400256\"]\n  21 [size=\"104558592\", alpha=\"0.13\", expect_size=\"52279296\"] \n  21 -> 24 [size =\"52279296\"]\n  22 [size=\"63676416\", alpha=\"0.16\", expect_size=\"31838208\"] \n  23 [size=\"96651264\", alpha=\"0.17\", expect_size=\"48325632\"] \n  23 -> 24 [size =\"48325632\"]\n  23 -> 25 [size =\"48325632\"]\n  23 -> 27 [size =\"48325632\"]\n  23 -> 29 [size =\"48325632\"]\n  24 [size=\"50044928\", alpha=\"0.15\", expect_size=\"25022464\"] \n  24 -> 30 [size =\"25022464\"]\n  24 -> 36 [size =\"25022464\"]\n  25 [size=\"14919680\", alpha=\"0.01\", expect_size=\"7459840\"] \n  25 -> 30 [size =\"7459840\"]\n  25 -> 32 [size =\"7459840\"]\n  25 -> 35 [size =\"7459840\"]\n  25 -> 36 [size =\"7459840\"]\n  26 [size=\"52475904\", alpha=\"0.13\", expect_size=\"26237952\"] \n  26 -> 30 [size =\"26237952\"]\n  26 -> 35 [size =\"26237952\"]\n  26 -> 36 [size =\"26237952\"]\n  27 [size=\"50313216\", alpha=\"0.16\", expect_size=\"25156608\"] \n  27 -> 31 [size =\"25156608\"]\n  27 -> 32 [size =\"25156608\"]\n  27 -> 35 [size =\"25156608\"]\n  28 [size=\"11790336\", alpha=\"0.18\", expect_size=\"5895168\"] \n  28 -> 30 [size =\"5895168\"]\n  28 -> 32 [size =\"5895168\"]\n  28 -> 33 [size =\"5895168\"]\n  28 -> 34 [size =\"5895168\"]\n  28 -> 36 [size =\"5895168\"]\n  29 [size=\"42522624\", alpha=\"0.05\", expect_size=\"21261312\"] \n  29 -> 31 [size =\"21261312\"]\n  29 -> 33 [size =\"21261312\"]\n  29 -> 34 [size =\"21261312\"]\n  29 -> 35 [size =\"21261312\"]\n  29 -> 36 [size =\"21261312\"]\n  30 [size=\"38176768\", alpha=\"0.07\", expect_size=\"19088384\"] \n  30 -> 39 [size =\"19088384\"]\n  30 -> 40 [size =\"19088384\"]\n  30 -> 41 [size =\"19088384\"]\n  31 [size=\"98555904\", alpha=\"0.02\", expect_size=\"49277952\"] \n  31 -> 39 [size =\"49277952\"]\n  32 [size=\"64536576\", alpha=\"0.03\", expect_size=\"32268288\"] \n  32 -> 37 [size =\"32268288\"]\n  32 -> 38 [size =\"32268288\"]\n  32 -> 39 [size =\"32268288\"]\n  32 -> 40 [size =\"32268288\"]\n  33 [size=\"45963264\", alpha=\"0.12\", expect_size=\"22981632\"] \n  33 -> 37 [size =\"22981632\"]\n  33 -> 38 [size =\"22981632\"]\n  33 -> 40 [size =\"22981632\"]\n  34 [size=\"33234944\", alpha=\"0.06\", expect_size=\"16617472\"] \n  34 -> 37 [size =\"16617472\"]\n  34 -> 38 [size =\"16617472\"]\n  34 -> 39 [size =\"16617472\"]\n  34 -> 41 [size =\"16617472\"]\n  35 [size=\"104312832\", alpha=\"0.02\", expect_size=\"52156416\"] \n  35 -> 39 [size =\"52156416\"]\n  36 [size=\"15063040\", alpha=\"0.12\", expect_size=\"7531520\"] \n  36 -> 40 [size =\"7531520\"]\n  37 [size=\"76630016\", alpha=\"0.09\", expect_size=\"38315008\"] \n  37 -> 42 [size =\"38315008\"]\n  37 -> 46 [size =\"38315008\"]\n  38 [size=\"57190400\", alpha=\"0.02\", expect_size=\"28595200\"] \n  38 -> 46 [size =\"28595200\"]\n  39 [size=\"46428160\", alpha=\"0.18\", expect_size=\"23214080\"] \n  39 -> 43 [size =\"23214080\"]\n  39 -> 46 [size =\"23214080\"]\n  40 [size=\"68036608\", alpha=\"0.13\", expect_size=\"34018304\"] \n  40 -> 42 [size =\"34018304\"]\n  41 [size=\"102510592\", alpha=\"0.08\", expect_size=\"51255296\"] \n  41 -> 44 [size =\"51255296\"]\n  41 -> 45 [size =\"51255296\"]\n  42 [size=\"16388096\", alpha=\"0.14\", expect_size=\"8194048\"] \n  42 -> 47 [size =\"8194048\"]\n  42 -> 48 [size =\"8194048\"]\n  42 -> 49 [size =\"8194048\"]\n  43 [size=\"30816256\", alpha=\"0.18\", expect_size=\"15408128\"] \n  43 -> 49 [size =\"15408128\"]\n  44 [size=\"87439360\", alpha=\"0.11\", expect_size=\"43719680\"] \n  44 -> 47 [size =\"43719680\"]\n  44 -> 48 [size =\"43719680\"]\n  44 -> 49 [size =\"43719680\"]\n  45 [size=\"23343104\", alpha=\"0.05\", expect_size=\"11671552\"] \n  46 [size=\"30912512\", alpha=\"0.07\", expect_size=\"15456256\"] \n  46 -> 47 [size =\"15456256\"]\n  46 -> 48 [size =\"15456256\"]\n  46 -> 50 [size =\"15456256\"]\n  47 [size=\"88047616\", alpha=\"0.19\", expect_size=\"44023808\"] \n  48 [size=\"38490112\", alpha=\"0.10\", expect_size=\"19245056\"] \n  49 [size=\"47388672\", alpha=\"0.08\", expect_size=\"23694336\"] \n  50 [size=\"36593664\", alpha=\"0.12\", expect_size=\"18296832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.701.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60848640\", alpha=\"0.11\", expect_size=\"24339456\"] \n  1 -> 9 [size =\"24339456\"]\n  1 -> 10 [size =\"24339456\"]\n  1 -> 11 [size =\"24339456\"]\n  1 -> 12 [size =\"24339456\"]\n  1 -> 13 [size =\"24339456\"]\n  2 [size=\"81904640\", alpha=\"0.18\", expect_size=\"32761856\"] \n  2 -> 9 [size =\"32761856\"]\n  2 -> 12 [size =\"32761856\"]\n  2 -> 13 [size =\"32761856\"]\n  2 -> 14 [size =\"32761856\"]\n  3 [size=\"15918080\", alpha=\"0.00\", expect_size=\"6367232\"] \n  3 -> 7 [size =\"6367232\"]\n  3 -> 8 [size =\"6367232\"]\n  3 -> 11 [size =\"6367232\"]\n  3 -> 13 [size =\"6367232\"]\n  3 -> 14 [size =\"6367232\"]\n  4 [size=\"63057920\", alpha=\"0.19\", expect_size=\"25223168\"] \n  4 -> 7 [size =\"25223168\"]\n  4 -> 8 [size =\"25223168\"]\n  4 -> 9 [size =\"25223168\"]\n  4 -> 11 [size =\"25223168\"]\n  4 -> 12 [size =\"25223168\"]\n  5 [size=\"120857600\", alpha=\"0.04\", expect_size=\"48343040\"] \n  5 -> 8 [size =\"48343040\"]\n  5 -> 9 [size =\"48343040\"]\n  6 [size=\"69025280\", alpha=\"0.11\", expect_size=\"27610112\"] \n  6 -> 14 [size =\"27610112\"]\n  7 [size=\"13529600\", alpha=\"0.16\", expect_size=\"5411840\"] \n  7 -> 17 [size =\"5411840\"]\n  7 -> 18 [size =\"5411840\"]\n  8 [size=\"76853760\", alpha=\"0.03\", expect_size=\"30741504\"] \n  8 -> 18 [size =\"30741504\"]\n  8 -> 18 [size =\"30741504\"]\n  8 -> 22 [size =\"30741504\"]\n  9 [size=\"58416640\", alpha=\"0.14\", expect_size=\"23366656\"] \n  9 -> 16 [size =\"23366656\"]\n  9 -> 18 [size =\"23366656\"]\n  9 -> 22 [size =\"23366656\"]\n  10 [size=\"85898240\", alpha=\"0.19\", expect_size=\"34359296\"] \n  10 -> 16 [size =\"34359296\"]\n  10 -> 17 [size =\"34359296\"]\n  10 -> 18 [size =\"34359296\"]\n  10 -> 19 [size =\"34359296\"]\n  11 [size=\"126791680\", alpha=\"0.09\", expect_size=\"50716672\"] \n  11 -> 17 [size =\"50716672\"]\n  11 -> 20 [size =\"50716672\"]\n  12 [size=\"73484800\", alpha=\"0.18\", expect_size=\"29393920\"] \n  12 -> 16 [size =\"29393920\"]\n  12 -> 17 [size =\"29393920\"]\n  12 -> 19 [size =\"29393920\"]\n  12 -> 22 [size =\"29393920\"]\n  13 [size=\"60352000\", alpha=\"0.14\", expect_size=\"24140800\"] \n  13 -> 15 [size =\"24140800\"]\n  13 -> 16 [size =\"24140800\"]\n  13 -> 21 [size =\"24140800\"]\n  14 [size=\"63032320\", alpha=\"0.19\", expect_size=\"25212928\"] \n  14 -> 15 [size =\"25212928\"]\n  14 -> 16 [size =\"25212928\"]\n  14 -> 19 [size =\"25212928\"]\n  14 -> 20 [size =\"25212928\"]\n  14 -> 22 [size =\"25212928\"]\n  15 [size=\"56962560\", alpha=\"0.19\", expect_size=\"22785024\"] \n  15 -> 23 [size =\"22785024\"]\n  16 [size=\"78115840\", alpha=\"0.14\", expect_size=\"31246336\"] \n  16 -> 25 [size =\"31246336\"]\n  16 -> 27 [size =\"31246336\"]\n  16 -> 28 [size =\"31246336\"]\n  17 [size=\"24056320\", alpha=\"0.13\", expect_size=\"9622528\"] \n  17 -> 25 [size =\"9622528\"]\n  17 -> 28 [size =\"9622528\"]\n  17 -> 29 [size =\"9622528\"]\n  18 [size=\"118914560\", alpha=\"0.07\", expect_size=\"47565824\"] \n  19 [size=\"17515520\", alpha=\"0.19\", expect_size=\"7006208\"] \n  19 -> 24 [size =\"7006208\"]\n  19 -> 26 [size =\"7006208\"]\n  19 -> 27 [size =\"7006208\"]\n  19 -> 29 [size =\"7006208\"]\n  20 [size=\"97203200\", alpha=\"0.10\", expect_size=\"38881280\"] \n  20 -> 26 [size =\"38881280\"]\n  20 -> 27 [size =\"38881280\"]\n  20 -> 28 [size =\"38881280\"]\n  20 -> 29 [size =\"38881280\"]\n  21 [size=\"91955200\", alpha=\"0.10\", expect_size=\"36782080\"] \n  21 -> 29 [size =\"36782080\"]\n  22 [size=\"25807360\", alpha=\"0.01\", expect_size=\"10322944\"] \n  22 -> 26 [size =\"10322944\"]\n  22 -> 28 [size =\"10322944\"]\n  22 -> 29 [size =\"10322944\"]\n  23 [size=\"14760960\", alpha=\"0.13\", expect_size=\"5904384\"] \n  23 -> 31 [size =\"5904384\"]\n  24 [size=\"100239360\", alpha=\"0.13\", expect_size=\"40095744\"] \n  25 [size=\"92935680\", alpha=\"0.12\", expect_size=\"37174272\"] \n  25 -> 30 [size =\"37174272\"]\n  26 [size=\"88314880\", alpha=\"0.20\", expect_size=\"35325952\"] \n  26 -> 30 [size =\"35325952\"]\n  26 -> 31 [size =\"35325952\"]\n  26 -> 32 [size =\"35325952\"]\n  26 -> 33 [size =\"35325952\"]\n  27 [size=\"55132160\", alpha=\"0.08\", expect_size=\"22052864\"] \n  27 -> 32 [size =\"22052864\"]\n  27 -> 33 [size =\"22052864\"]\n  27 -> 34 [size =\"22052864\"]\n  28 [size=\"14469120\", alpha=\"0.07\", expect_size=\"5787648\"] \n  28 -> 34 [size =\"5787648\"]\n  29 [size=\"54635520\", alpha=\"0.13\", expect_size=\"21854208\"] \n  29 -> 31 [size =\"21854208\"]\n  30 [size=\"46658560\", alpha=\"0.12\", expect_size=\"18663424\"] \n  30 -> 35 [size =\"18663424\"]\n  30 -> 40 [size =\"18663424\"]\n  30 -> 43 [size =\"18663424\"]\n  31 [size=\"106741760\", alpha=\"0.10\", expect_size=\"42696704\"] \n  31 -> 42 [size =\"42696704\"]\n  31 -> 43 [size =\"42696704\"]\n  32 [size=\"46696960\", alpha=\"0.19\", expect_size=\"18678784\"] \n  32 -> 36 [size =\"18678784\"]\n  32 -> 37 [size =\"18678784\"]\n  32 -> 39 [size =\"18678784\"]\n  32 -> 40 [size =\"18678784\"]\n  32 -> 41 [size =\"18678784\"]\n  33 [size=\"53291520\", alpha=\"0.15\", expect_size=\"21316608\"] \n  33 -> 35 [size =\"21316608\"]\n  33 -> 39 [size =\"21316608\"]\n  33 -> 42 [size =\"21316608\"]\n  34 [size=\"129333760\", alpha=\"0.20\", expect_size=\"51733504\"] \n  34 -> 35 [size =\"51733504\"]\n  34 -> 36 [size =\"51733504\"]\n  34 -> 38 [size =\"51733504\"]\n  34 -> 41 [size =\"51733504\"]\n  34 -> 43 [size =\"51733504\"]\n  35 [size=\"88844800\", alpha=\"0.12\", expect_size=\"35537920\"] \n  35 -> 48 [size =\"35537920\"]\n  35 -> 49 [size =\"35537920\"]\n  36 [size=\"39580160\", alpha=\"0.16\", expect_size=\"15832064\"] \n  36 -> 44 [size =\"15832064\"]\n  36 -> 45 [size =\"15832064\"]\n  36 -> 46 [size =\"15832064\"]\n  36 -> 49 [size =\"15832064\"]\n  37 [size=\"37455360\", alpha=\"0.01\", expect_size=\"14982144\"] \n  37 -> 45 [size =\"14982144\"]\n  37 -> 45 [size =\"14982144\"]\n  37 -> 46 [size =\"14982144\"]\n  37 -> 47 [size =\"14982144\"]\n  37 -> 49 [size =\"14982144\"]\n  38 [size=\"82897920\", alpha=\"0.04\", expect_size=\"33159168\"] \n  38 -> 45 [size =\"33159168\"]\n  38 -> 46 [size =\"33159168\"]\n  38 -> 47 [size =\"33159168\"]\n  38 -> 49 [size =\"33159168\"]\n  39 [size=\"121689600\", alpha=\"0.08\", expect_size=\"48675840\"] \n  39 -> 45 [size =\"48675840\"]\n  39 -> 49 [size =\"48675840\"]\n  40 [size=\"81177600\", alpha=\"0.06\", expect_size=\"32471040\"] \n  40 -> 47 [size =\"32471040\"]\n  40 -> 48 [size =\"32471040\"]\n  40 -> 49 [size =\"32471040\"]\n  41 [size=\"34152960\", alpha=\"0.17\", expect_size=\"13661184\"] \n  41 -> 44 [size =\"13661184\"]\n  41 -> 48 [size =\"13661184\"]\n  42 [size=\"94305280\", alpha=\"0.11\", expect_size=\"37722112\"] \n  42 -> 46 [size =\"37722112\"]\n  43 [size=\"86077440\", alpha=\"0.05\", expect_size=\"34430976\"] \n  43 -> 44 [size =\"34430976\"]\n  43 -> 46 [size =\"34430976\"]\n  43 -> 48 [size =\"34430976\"]\n  44 [size=\"56719360\", alpha=\"0.14\", expect_size=\"22687744\"] \n  44 -> 50 [size =\"22687744\"]\n  45 [size=\"56156160\", alpha=\"0.16\", expect_size=\"22462464\"] \n  46 [size=\"128243200\", alpha=\"0.11\", expect_size=\"51297280\"] \n  47 [size=\"102062080\", alpha=\"0.13\", expect_size=\"40824832\"] \n  47 -> 50 [size =\"40824832\"]\n  48 [size=\"106524160\", alpha=\"0.15\", expect_size=\"42609664\"] \n  48 -> 50 [size =\"42609664\"]\n  49 [size=\"129474560\", alpha=\"0.05\", expect_size=\"51789824\"] \n  49 -> 50 [size =\"51789824\"]\n  50 [size=\"57359360\", alpha=\"0.20\", expect_size=\"22943744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.702.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78080000\", alpha=\"0.02\", expect_size=\"31232000\"] \n  1 -> 2 [size =\"31232000\"]\n  2 [size=\"28480000\", alpha=\"0.16\", expect_size=\"11392000\"] \n  2 -> 3 [size =\"11392000\"]\n  3 [size=\"86822400\", alpha=\"0.13\", expect_size=\"34728960\"] \n  3 -> 4 [size =\"34728960\"]\n  4 [size=\"84817920\", alpha=\"0.11\", expect_size=\"33927168\"] \n  4 -> 5 [size =\"33927168\"]\n  5 [size=\"30033920\", alpha=\"0.19\", expect_size=\"12013568\"] \n  5 -> 6 [size =\"12013568\"]\n  6 [size=\"113827840\", alpha=\"0.06\", expect_size=\"45531136\"] \n  6 -> 7 [size =\"45531136\"]\n  7 [size=\"79820800\", alpha=\"0.03\", expect_size=\"31928320\"] \n  7 -> 8 [size =\"31928320\"]\n  8 [size=\"122757120\", alpha=\"0.08\", expect_size=\"49102848\"] \n  8 -> 9 [size =\"49102848\"]\n  9 [size=\"79418880\", alpha=\"0.04\", expect_size=\"31767552\"] \n  9 -> 10 [size =\"31767552\"]\n  10 [size=\"63928320\", alpha=\"0.18\", expect_size=\"25571328\"] \n  10 -> 11 [size =\"25571328\"]\n  11 [size=\"60003840\", alpha=\"0.03\", expect_size=\"24001536\"] \n  11 -> 12 [size =\"24001536\"]\n  12 [size=\"71255040\", alpha=\"0.12\", expect_size=\"28502016\"] \n  12 -> 13 [size =\"28502016\"]\n  13 [size=\"48721920\", alpha=\"0.19\", expect_size=\"19488768\"] \n  13 -> 14 [size =\"19488768\"]\n  14 [size=\"123253760\", alpha=\"0.10\", expect_size=\"49301504\"] \n  14 -> 15 [size =\"49301504\"]\n  15 [size=\"69296640\", alpha=\"0.07\", expect_size=\"27718656\"] \n  15 -> 16 [size =\"27718656\"]\n  16 [size=\"64936960\", alpha=\"0.02\", expect_size=\"25974784\"] \n  16 -> 17 [size =\"25974784\"]\n  17 [size=\"101184000\", alpha=\"0.14\", expect_size=\"40473600\"] \n  17 -> 18 [size =\"40473600\"]\n  18 [size=\"120465920\", alpha=\"0.05\", expect_size=\"48186368\"] \n  18 -> 19 [size =\"48186368\"]\n  19 [size=\"52277760\", alpha=\"0.03\", expect_size=\"20911104\"] \n  19 -> 20 [size =\"20911104\"]\n  20 [size=\"73722880\", alpha=\"0.08\", expect_size=\"29489152\"] \n  20 -> 21 [size =\"29489152\"]\n  21 [size=\"60323840\", alpha=\"0.03\", expect_size=\"24129536\"] \n  21 -> 22 [size =\"24129536\"]\n  22 [size=\"76904960\", alpha=\"0.01\", expect_size=\"30761984\"] \n  22 -> 23 [size =\"30761984\"]\n  23 [size=\"29772800\", alpha=\"0.11\", expect_size=\"11909120\"] \n  23 -> 24 [size =\"11909120\"]\n  24 [size=\"26337280\", alpha=\"0.14\", expect_size=\"10534912\"] \n  24 -> 25 [size =\"10534912\"]\n  25 [size=\"84654080\", alpha=\"0.19\", expect_size=\"33861632\"] \n  25 -> 26 [size =\"33861632\"]\n  26 [size=\"124520960\", alpha=\"0.02\", expect_size=\"49808384\"] \n  26 -> 27 [size =\"49808384\"]\n  27 [size=\"18301440\", alpha=\"0.15\", expect_size=\"7320576\"] \n  27 -> 28 [size =\"7320576\"]\n  28 [size=\"102338560\", alpha=\"0.08\", expect_size=\"40935424\"] \n  28 -> 29 [size =\"40935424\"]\n  29 [size=\"130603520\", alpha=\"0.11\", expect_size=\"52241408\"] \n  29 -> 30 [size =\"52241408\"]\n  30 [size=\"32588800\", alpha=\"0.04\", expect_size=\"13035520\"] \n  30 -> 31 [size =\"13035520\"]\n  31 [size=\"77678080\", alpha=\"0.04\", expect_size=\"31071232\"] \n  31 -> 32 [size =\"31071232\"]\n  32 [size=\"94914560\", alpha=\"0.14\", expect_size=\"37965824\"] \n  32 -> 33 [size =\"37965824\"]\n  33 [size=\"99671040\", alpha=\"0.10\", expect_size=\"39868416\"] \n  33 -> 34 [size =\"39868416\"]\n  34 [size=\"47697920\", alpha=\"0.05\", expect_size=\"19079168\"] \n  34 -> 35 [size =\"19079168\"]\n  35 [size=\"128675840\", alpha=\"0.09\", expect_size=\"51470336\"] \n  35 -> 36 [size =\"51470336\"]\n  36 [size=\"123599360\", alpha=\"0.02\", expect_size=\"49439744\"] \n  36 -> 37 [size =\"49439744\"]\n  37 [size=\"15226880\", alpha=\"0.10\", expect_size=\"6090752\"] \n  37 -> 38 [size =\"6090752\"]\n  38 [size=\"106204160\", alpha=\"0.16\", expect_size=\"42481664\"] \n  38 -> 39 [size =\"42481664\"]\n  39 [size=\"34319360\", alpha=\"0.09\", expect_size=\"13727744\"] \n  39 -> 40 [size =\"13727744\"]\n  40 [size=\"101813760\", alpha=\"0.12\", expect_size=\"40725504\"] \n  40 -> 41 [size =\"40725504\"]\n  41 [size=\"123584000\", alpha=\"0.04\", expect_size=\"49433600\"] \n  41 -> 42 [size =\"49433600\"]\n  42 [size=\"28559360\", alpha=\"0.06\", expect_size=\"11423744\"] \n  42 -> 43 [size =\"11423744\"]\n  43 [size=\"110817280\", alpha=\"0.10\", expect_size=\"44326912\"] \n  43 -> 44 [size =\"44326912\"]\n  44 [size=\"52083200\", alpha=\"0.17\", expect_size=\"20833280\"] \n  44 -> 45 [size =\"20833280\"]\n  45 [size=\"80468480\", alpha=\"0.17\", expect_size=\"32187392\"] \n  45 -> 46 [size =\"32187392\"]\n  46 [size=\"16232960\", alpha=\"0.15\", expect_size=\"6493184\"] \n  46 -> 47 [size =\"6493184\"]\n  47 [size=\"29173760\", alpha=\"0.13\", expect_size=\"11669504\"] \n  47 -> 48 [size =\"11669504\"]\n  48 [size=\"89405440\", alpha=\"0.08\", expect_size=\"35762176\"] \n  48 -> 49 [size =\"35762176\"]\n  49 [size=\"68354560\", alpha=\"0.02\", expect_size=\"27341824\"] \n  49 -> 50 [size =\"27341824\"]\n  50 [size=\"123164160\", alpha=\"0.19\", expect_size=\"49265664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.703.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67993600\", alpha=\"0.04\", expect_size=\"27197440\"] \n  1 -> 23 [size =\"27197440\"]\n  1 -> 24 [size =\"27197440\"]\n  1 -> 28 [size =\"27197440\"]\n  1 -> 29 [size =\"27197440\"]\n  1 -> 32 [size =\"27197440\"]\n  1 -> 33 [size =\"27197440\"]\n  1 -> 34 [size =\"27197440\"]\n  1 -> 35 [size =\"27197440\"]\n  2 [size=\"15741440\", alpha=\"0.16\", expect_size=\"6296576\"] \n  2 -> 21 [size =\"6296576\"]\n  2 -> 23 [size =\"6296576\"]\n  2 -> 24 [size =\"6296576\"]\n  2 -> 25 [size =\"6296576\"]\n  2 -> 26 [size =\"6296576\"]\n  2 -> 28 [size =\"6296576\"]\n  2 -> 29 [size =\"6296576\"]\n  2 -> 30 [size =\"6296576\"]\n  2 -> 33 [size =\"6296576\"]\n  2 -> 34 [size =\"6296576\"]\n  3 [size=\"22645760\", alpha=\"0.01\", expect_size=\"9058304\"] \n  3 -> 18 [size =\"9058304\"]\n  3 -> 21 [size =\"9058304\"]\n  3 -> 23 [size =\"9058304\"]\n  3 -> 24 [size =\"9058304\"]\n  3 -> 25 [size =\"9058304\"]\n  3 -> 28 [size =\"9058304\"]\n  3 -> 29 [size =\"9058304\"]\n  3 -> 33 [size =\"9058304\"]\n  3 -> 34 [size =\"9058304\"]\n  3 -> 34 [size =\"9058304\"]\n  3 -> 36 [size =\"9058304\"]\n  4 [size=\"23703040\", alpha=\"0.03\", expect_size=\"9481216\"] \n  4 -> 18 [size =\"9481216\"]\n  4 -> 23 [size =\"9481216\"]\n  4 -> 23 [size =\"9481216\"]\n  4 -> 28 [size =\"9481216\"]\n  4 -> 29 [size =\"9481216\"]\n  5 [size=\"41684480\", alpha=\"0.10\", expect_size=\"16673792\"] \n  5 -> 18 [size =\"16673792\"]\n  5 -> 19 [size =\"16673792\"]\n  5 -> 21 [size =\"16673792\"]\n  5 -> 24 [size =\"16673792\"]\n  5 -> 25 [size =\"16673792\"]\n  5 -> 26 [size =\"16673792\"]\n  5 -> 28 [size =\"16673792\"]\n  5 -> 29 [size =\"16673792\"]\n  5 -> 34 [size =\"16673792\"]\n  5 -> 36 [size =\"16673792\"]\n  6 [size=\"23475200\", alpha=\"0.15\", expect_size=\"9390080\"] \n  6 -> 18 [size =\"9390080\"]\n  6 -> 19 [size =\"9390080\"]\n  6 -> 21 [size =\"9390080\"]\n  6 -> 23 [size =\"9390080\"]\n  6 -> 24 [size =\"9390080\"]\n  6 -> 26 [size =\"9390080\"]\n  6 -> 28 [size =\"9390080\"]\n  6 -> 33 [size =\"9390080\"]\n  6 -> 34 [size =\"9390080\"]\n  7 [size=\"69870080\", alpha=\"0.13\", expect_size=\"27948032\"] \n  7 -> 18 [size =\"27948032\"]\n  7 -> 21 [size =\"27948032\"]\n  7 -> 22 [size =\"27948032\"]\n  7 -> 23 [size =\"27948032\"]\n  7 -> 24 [size =\"27948032\"]\n  7 -> 28 [size =\"27948032\"]\n  7 -> 28 [size =\"27948032\"]\n  7 -> 34 [size =\"27948032\"]\n  7 -> 36 [size =\"27948032\"]\n  8 [size=\"65940480\", alpha=\"0.14\", expect_size=\"26376192\"] \n  8 -> 18 [size =\"26376192\"]\n  8 -> 19 [size =\"26376192\"]\n  8 -> 21 [size =\"26376192\"]\n  8 -> 24 [size =\"26376192\"]\n  8 -> 27 [size =\"26376192\"]\n  8 -> 28 [size =\"26376192\"]\n  8 -> 31 [size =\"26376192\"]\n  8 -> 34 [size =\"26376192\"]\n  9 [size=\"91089920\", alpha=\"0.03\", expect_size=\"36435968\"] \n  9 -> 18 [size =\"36435968\"]\n  9 -> 24 [size =\"36435968\"]\n  9 -> 25 [size =\"36435968\"]\n  9 -> 33 [size =\"36435968\"]\n  9 -> 34 [size =\"36435968\"]\n  10 [size=\"63618560\", alpha=\"0.05\", expect_size=\"25447424\"] \n  10 -> 18 [size =\"25447424\"]\n  10 -> 20 [size =\"25447424\"]\n  10 -> 23 [size =\"25447424\"]\n  10 -> 24 [size =\"25447424\"]\n  10 -> 33 [size =\"25447424\"]\n  11 [size=\"100451840\", alpha=\"0.12\", expect_size=\"40180736\"] \n  11 -> 23 [size =\"40180736\"]\n  11 -> 24 [size =\"40180736\"]\n  11 -> 26 [size =\"40180736\"]\n  11 -> 28 [size =\"40180736\"]\n  11 -> 29 [size =\"40180736\"]\n  11 -> 36 [size =\"40180736\"]\n  12 [size=\"126405120\", alpha=\"0.05\", expect_size=\"50562048\"] \n  12 -> 19 [size =\"50562048\"]\n  12 -> 21 [size =\"50562048\"]\n  12 -> 24 [size =\"50562048\"]\n  12 -> 25 [size =\"50562048\"]\n  12 -> 26 [size =\"50562048\"]\n  12 -> 29 [size =\"50562048\"]\n  12 -> 32 [size =\"50562048\"]\n  12 -> 34 [size =\"50562048\"]\n  12 -> 36 [size =\"50562048\"]\n  13 [size=\"104867840\", alpha=\"0.19\", expect_size=\"41947136\"] \n  13 -> 18 [size =\"41947136\"]\n  13 -> 19 [size =\"41947136\"]\n  13 -> 24 [size =\"41947136\"]\n  13 -> 25 [size =\"41947136\"]\n  13 -> 29 [size =\"41947136\"]\n  13 -> 36 [size =\"41947136\"]\n  14 [size=\"112675840\", alpha=\"0.19\", expect_size=\"45070336\"] \n  14 -> 18 [size =\"45070336\"]\n  14 -> 19 [size =\"45070336\"]\n  14 -> 22 [size =\"45070336\"]\n  14 -> 24 [size =\"45070336\"]\n  14 -> 25 [size =\"45070336\"]\n  14 -> 28 [size =\"45070336\"]\n  14 -> 33 [size =\"45070336\"]\n  14 -> 36 [size =\"45070336\"]\n  15 [size=\"130280960\", alpha=\"0.18\", expect_size=\"52112384\"] \n  15 -> 19 [size =\"52112384\"]\n  15 -> 19 [size =\"52112384\"]\n  15 -> 23 [size =\"52112384\"]\n  15 -> 24 [size =\"52112384\"]\n  15 -> 26 [size =\"52112384\"]\n  15 -> 28 [size =\"52112384\"]\n  15 -> 33 [size =\"52112384\"]\n  15 -> 36 [size =\"52112384\"]\n  16 [size=\"68615680\", alpha=\"0.12\", expect_size=\"27446272\"] \n  16 -> 18 [size =\"27446272\"]\n  16 -> 23 [size =\"27446272\"]\n  16 -> 24 [size =\"27446272\"]\n  16 -> 25 [size =\"27446272\"]\n  16 -> 28 [size =\"27446272\"]\n  16 -> 28 [size =\"27446272\"]\n  16 -> 29 [size =\"27446272\"]\n  16 -> 33 [size =\"27446272\"]\n  16 -> 34 [size =\"27446272\"]\n  16 -> 36 [size =\"27446272\"]\n  17 [size=\"36600320\", alpha=\"0.01\", expect_size=\"14640128\"] \n  17 -> 18 [size =\"14640128\"]\n  17 -> 23 [size =\"14640128\"]\n  17 -> 28 [size =\"14640128\"]\n  17 -> 29 [size =\"14640128\"]\n  17 -> 33 [size =\"14640128\"]\n  17 -> 34 [size =\"14640128\"]\n  18 [size=\"114782720\", alpha=\"0.07\", expect_size=\"45913088\"] \n  18 -> 39 [size =\"45913088\"]\n  18 -> 41 [size =\"45913088\"]\n  18 -> 43 [size =\"45913088\"]\n  18 -> 44 [size =\"45913088\"]\n  18 -> 45 [size =\"45913088\"]\n  18 -> 46 [size =\"45913088\"]\n  19 [size=\"79644160\", alpha=\"0.03\", expect_size=\"31857664\"] \n  19 -> 37 [size =\"31857664\"]\n  19 -> 38 [size =\"31857664\"]\n  19 -> 39 [size =\"31857664\"]\n  19 -> 41 [size =\"31857664\"]\n  19 -> 43 [size =\"31857664\"]\n  19 -> 44 [size =\"31857664\"]\n  19 -> 45 [size =\"31857664\"]\n  20 [size=\"94878720\", alpha=\"0.18\", expect_size=\"37951488\"] \n  20 -> 38 [size =\"37951488\"]\n  20 -> 43 [size =\"37951488\"]\n  20 -> 44 [size =\"37951488\"]\n  20 -> 45 [size =\"37951488\"]\n  20 -> 47 [size =\"37951488\"]\n  21 [size=\"123417600\", alpha=\"0.03\", expect_size=\"49367040\"] \n  21 -> 37 [size =\"49367040\"]\n  21 -> 38 [size =\"49367040\"]\n  21 -> 39 [size =\"49367040\"]\n  21 -> 44 [size =\"49367040\"]\n  21 -> 47 [size =\"49367040\"]\n  22 [size=\"76802560\", alpha=\"0.08\", expect_size=\"30721024\"] \n  22 -> 37 [size =\"30721024\"]\n  22 -> 38 [size =\"30721024\"]\n  22 -> 40 [size =\"30721024\"]\n  22 -> 42 [size =\"30721024\"]\n  22 -> 44 [size =\"30721024\"]\n  22 -> 46 [size =\"30721024\"]\n  22 -> 47 [size =\"30721024\"]\n  23 [size=\"103360000\", alpha=\"0.15\", expect_size=\"41344000\"] \n  23 -> 37 [size =\"41344000\"]\n  23 -> 38 [size =\"41344000\"]\n  23 -> 41 [size =\"41344000\"]\n  23 -> 42 [size =\"41344000\"]\n  24 [size=\"97264640\", alpha=\"0.03\", expect_size=\"38905856\"] \n  24 -> 38 [size =\"38905856\"]\n  24 -> 39 [size =\"38905856\"]\n  25 [size=\"88962560\", alpha=\"0.17\", expect_size=\"35585024\"] \n  25 -> 43 [size =\"35585024\"]\n  26 [size=\"77122560\", alpha=\"0.12\", expect_size=\"30849024\"] \n  26 -> 41 [size =\"30849024\"]\n  26 -> 43 [size =\"30849024\"]\n  26 -> 46 [size =\"30849024\"]\n  27 [size=\"28769280\", alpha=\"0.16\", expect_size=\"11507712\"] \n  27 -> 37 [size =\"11507712\"]\n  27 -> 44 [size =\"11507712\"]\n  27 -> 45 [size =\"11507712\"]\n  27 -> 46 [size =\"11507712\"]\n  28 [size=\"32801280\", alpha=\"0.10\", expect_size=\"13120512\"] \n  28 -> 41 [size =\"13120512\"]\n  29 [size=\"75258880\", alpha=\"0.17\", expect_size=\"30103552\"] \n  29 -> 41 [size =\"30103552\"]\n  29 -> 42 [size =\"30103552\"]\n  29 -> 44 [size =\"30103552\"]\n  30 [size=\"91294720\", alpha=\"0.13\", expect_size=\"36517888\"] \n  30 -> 38 [size =\"36517888\"]\n  30 -> 39 [size =\"36517888\"]\n  30 -> 41 [size =\"36517888\"]\n  30 -> 44 [size =\"36517888\"]\n  30 -> 46 [size =\"36517888\"]\n  31 [size=\"80048640\", alpha=\"0.03\", expect_size=\"32019456\"] \n  31 -> 37 [size =\"32019456\"]\n  31 -> 41 [size =\"32019456\"]\n  31 -> 41 [size =\"32019456\"]\n  31 -> 44 [size =\"32019456\"]\n  31 -> 46 [size =\"32019456\"]\n  31 -> 47 [size =\"32019456\"]\n  32 [size=\"96404480\", alpha=\"0.13\", expect_size=\"38561792\"] \n  32 -> 37 [size =\"38561792\"]\n  32 -> 38 [size =\"38561792\"]\n  32 -> 44 [size =\"38561792\"]\n  32 -> 44 [size =\"38561792\"]\n  32 -> 47 [size =\"38561792\"]\n  33 [size=\"25039360\", alpha=\"0.18\", expect_size=\"10015744\"] \n  33 -> 37 [size =\"10015744\"]\n  33 -> 38 [size =\"10015744\"]\n  33 -> 41 [size =\"10015744\"]\n  33 -> 44 [size =\"10015744\"]\n  33 -> 46 [size =\"10015744\"]\n  33 -> 47 [size =\"10015744\"]\n  34 [size=\"111418880\", alpha=\"0.20\", expect_size=\"44567552\"] \n  34 -> 37 [size =\"44567552\"]\n  34 -> 38 [size =\"44567552\"]\n  34 -> 41 [size =\"44567552\"]\n  34 -> 44 [size =\"44567552\"]\n  34 -> 45 [size =\"44567552\"]\n  34 -> 46 [size =\"44567552\"]\n  34 -> 47 [size =\"44567552\"]\n  35 [size=\"130211840\", alpha=\"0.01\", expect_size=\"52084736\"] \n  35 -> 37 [size =\"52084736\"]\n  35 -> 41 [size =\"52084736\"]\n  35 -> 41 [size =\"52084736\"]\n  35 -> 44 [size =\"52084736\"]\n  35 -> 46 [size =\"52084736\"]\n  36 [size=\"109998080\", alpha=\"0.13\", expect_size=\"43999232\"] \n  36 -> 38 [size =\"43999232\"]\n  36 -> 41 [size =\"43999232\"]\n  36 -> 45 [size =\"43999232\"]\n  37 [size=\"61143040\", alpha=\"0.08\", expect_size=\"24457216\"] \n  37 -> 48 [size =\"24457216\"]\n  37 -> 49 [size =\"24457216\"]\n  37 -> 50 [size =\"24457216\"]\n  38 [size=\"40414720\", alpha=\"0.00\", expect_size=\"16165888\"] \n  38 -> 48 [size =\"16165888\"]\n  38 -> 50 [size =\"16165888\"]\n  39 [size=\"100646400\", alpha=\"0.04\", expect_size=\"40258560\"] \n  39 -> 48 [size =\"40258560\"]\n  40 [size=\"83893760\", alpha=\"0.02\", expect_size=\"33557504\"] \n  40 -> 50 [size =\"33557504\"]\n  41 [size=\"40668160\", alpha=\"0.18\", expect_size=\"16267264\"] \n  41 -> 48 [size =\"16267264\"]\n  41 -> 49 [size =\"16267264\"]\n  42 [size=\"58319360\", alpha=\"0.05\", expect_size=\"23327744\"] \n  42 -> 49 [size =\"23327744\"]\n  43 [size=\"14213120\", alpha=\"0.08\", expect_size=\"5685248\"] \n  44 [size=\"118074880\", alpha=\"0.04\", expect_size=\"47229952\"] \n  44 -> 48 [size =\"47229952\"]\n  44 -> 49 [size =\"47229952\"]\n  44 -> 50 [size =\"47229952\"]\n  45 [size=\"115586560\", alpha=\"0.14\", expect_size=\"46234624\"] \n  45 -> 48 [size =\"46234624\"]\n  45 -> 49 [size =\"46234624\"]\n  46 [size=\"123916800\", alpha=\"0.14\", expect_size=\"49566720\"] \n  46 -> 49 [size =\"49566720\"]\n  47 [size=\"80614400\", alpha=\"0.17\", expect_size=\"32245760\"] \n  47 -> 48 [size =\"32245760\"]\n  47 -> 50 [size =\"32245760\"]\n  48 [size=\"127134720\", alpha=\"0.04\", expect_size=\"50853888\"] \n  49 [size=\"129228800\", alpha=\"0.01\", expect_size=\"51691520\"] \n  50 [size=\"35468800\", alpha=\"0.11\", expect_size=\"14187520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.704.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76331520\", alpha=\"0.19\", expect_size=\"30532608\"] \n  1 -> 2 [size =\"30532608\"]\n  2 [size=\"123289600\", alpha=\"0.01\", expect_size=\"49315840\"] \n  2 -> 3 [size =\"49315840\"]\n  3 [size=\"54894080\", alpha=\"0.04\", expect_size=\"21957632\"] \n  3 -> 4 [size =\"21957632\"]\n  4 [size=\"97697280\", alpha=\"0.11\", expect_size=\"39078912\"] \n  4 -> 5 [size =\"39078912\"]\n  5 [size=\"21058560\", alpha=\"0.13\", expect_size=\"8423424\"] \n  5 -> 6 [size =\"8423424\"]\n  6 [size=\"57292800\", alpha=\"0.02\", expect_size=\"22917120\"] \n  6 -> 7 [size =\"22917120\"]\n  7 [size=\"28341760\", alpha=\"0.05\", expect_size=\"11336704\"] \n  7 -> 8 [size =\"11336704\"]\n  8 [size=\"116561920\", alpha=\"0.19\", expect_size=\"46624768\"] \n  8 -> 9 [size =\"46624768\"]\n  9 [size=\"13294080\", alpha=\"0.13\", expect_size=\"5317632\"] \n  9 -> 10 [size =\"5317632\"]\n  10 [size=\"96181760\", alpha=\"0.17\", expect_size=\"38472704\"] \n  10 -> 11 [size =\"38472704\"]\n  11 [size=\"46397440\", alpha=\"0.07\", expect_size=\"18558976\"] \n  11 -> 12 [size =\"18558976\"]\n  12 [size=\"38033920\", alpha=\"0.02\", expect_size=\"15213568\"] \n  12 -> 13 [size =\"15213568\"]\n  13 [size=\"46054400\", alpha=\"0.12\", expect_size=\"18421760\"] \n  13 -> 14 [size =\"18421760\"]\n  14 [size=\"67445760\", alpha=\"0.10\", expect_size=\"26978304\"] \n  14 -> 15 [size =\"26978304\"]\n  15 [size=\"16325120\", alpha=\"0.04\", expect_size=\"6530048\"] \n  15 -> 16 [size =\"6530048\"]\n  16 [size=\"95897600\", alpha=\"0.19\", expect_size=\"38359040\"] \n  16 -> 17 [size =\"38359040\"]\n  17 [size=\"106785280\", alpha=\"0.17\", expect_size=\"42714112\"] \n  17 -> 18 [size =\"42714112\"]\n  18 [size=\"18009600\", alpha=\"0.02\", expect_size=\"7203840\"] \n  18 -> 19 [size =\"7203840\"]\n  19 [size=\"130877440\", alpha=\"0.17\", expect_size=\"52350976\"] \n  19 -> 20 [size =\"52350976\"]\n  20 [size=\"88302080\", alpha=\"0.04\", expect_size=\"35320832\"] \n  20 -> 21 [size =\"35320832\"]\n  21 [size=\"68211200\", alpha=\"0.02\", expect_size=\"27284480\"] \n  21 -> 22 [size =\"27284480\"]\n  22 [size=\"111493120\", alpha=\"0.19\", expect_size=\"44597248\"] \n  22 -> 23 [size =\"44597248\"]\n  23 [size=\"123735040\", alpha=\"0.03\", expect_size=\"49494016\"] \n  23 -> 24 [size =\"49494016\"]\n  24 [size=\"76712960\", alpha=\"0.01\", expect_size=\"30685184\"] \n  24 -> 25 [size =\"30685184\"]\n  25 [size=\"20185600\", alpha=\"0.00\", expect_size=\"8074240\"] \n  25 -> 26 [size =\"8074240\"]\n  26 [size=\"41886720\", alpha=\"0.07\", expect_size=\"16754688\"] \n  26 -> 27 [size =\"16754688\"]\n  27 [size=\"33369600\", alpha=\"0.16\", expect_size=\"13347840\"] \n  27 -> 28 [size =\"13347840\"]\n  28 [size=\"17922560\", alpha=\"0.03\", expect_size=\"7169024\"] \n  28 -> 29 [size =\"7169024\"]\n  29 [size=\"31221760\", alpha=\"0.10\", expect_size=\"12488704\"] \n  29 -> 30 [size =\"12488704\"]\n  30 [size=\"14528000\", alpha=\"0.12\", expect_size=\"5811200\"] \n  30 -> 31 [size =\"5811200\"]\n  31 [size=\"40409600\", alpha=\"0.18\", expect_size=\"16163840\"] \n  31 -> 32 [size =\"16163840\"]\n  32 [size=\"54126080\", alpha=\"0.09\", expect_size=\"21650432\"] \n  32 -> 33 [size =\"21650432\"]\n  33 [size=\"47900160\", alpha=\"0.06\", expect_size=\"19160064\"] \n  33 -> 34 [size =\"19160064\"]\n  34 [size=\"63513600\", alpha=\"0.12\", expect_size=\"25405440\"] \n  34 -> 35 [size =\"25405440\"]\n  35 [size=\"67599360\", alpha=\"0.18\", expect_size=\"27039744\"] \n  35 -> 36 [size =\"27039744\"]\n  36 [size=\"68103680\", alpha=\"0.18\", expect_size=\"27241472\"] \n  36 -> 37 [size =\"27241472\"]\n  37 [size=\"109217280\", alpha=\"0.15\", expect_size=\"43686912\"] \n  37 -> 38 [size =\"43686912\"]\n  38 [size=\"88209920\", alpha=\"0.12\", expect_size=\"35283968\"] \n  38 -> 39 [size =\"35283968\"]\n  39 [size=\"108538880\", alpha=\"0.09\", expect_size=\"43415552\"] \n  39 -> 40 [size =\"43415552\"]\n  40 [size=\"52426240\", alpha=\"0.19\", expect_size=\"20970496\"] \n  40 -> 41 [size =\"20970496\"]\n  41 [size=\"120911360\", alpha=\"0.18\", expect_size=\"48364544\"] \n  41 -> 42 [size =\"48364544\"]\n  42 [size=\"111357440\", alpha=\"0.14\", expect_size=\"44542976\"] \n  42 -> 43 [size =\"44542976\"]\n  43 [size=\"48696320\", alpha=\"0.08\", expect_size=\"19478528\"] \n  43 -> 44 [size =\"19478528\"]\n  44 [size=\"83837440\", alpha=\"0.14\", expect_size=\"33534976\"] \n  44 -> 45 [size =\"33534976\"]\n  45 [size=\"35189760\", alpha=\"0.00\", expect_size=\"14075904\"] \n  45 -> 46 [size =\"14075904\"]\n  46 [size=\"23938560\", alpha=\"0.12\", expect_size=\"9575424\"] \n  46 -> 47 [size =\"9575424\"]\n  47 [size=\"14914560\", alpha=\"0.07\", expect_size=\"5965824\"] \n  47 -> 48 [size =\"5965824\"]\n  48 [size=\"101793280\", alpha=\"0.02\", expect_size=\"40717312\"] \n  48 -> 49 [size =\"40717312\"]\n  49 [size=\"53550080\", alpha=\"0.01\", expect_size=\"21420032\"] \n  49 -> 50 [size =\"21420032\"]\n  50 [size=\"105922560\", alpha=\"0.00\", expect_size=\"42369024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.705.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36427776\", alpha=\"0.12\", expect_size=\"18213888\"] \n  1 -> 2 [size =\"18213888\"]\n  2 [size=\"18235392\", alpha=\"0.04\", expect_size=\"9117696\"] \n  2 -> 3 [size =\"9117696\"]\n  3 [size=\"101554176\", alpha=\"0.14\", expect_size=\"50777088\"] \n  3 -> 4 [size =\"50777088\"]\n  4 [size=\"12138496\", alpha=\"0.06\", expect_size=\"6069248\"] \n  4 -> 5 [size =\"6069248\"]\n  5 [size=\"83603456\", alpha=\"0.15\", expect_size=\"41801728\"] \n  5 -> 6 [size =\"41801728\"]\n  6 [size=\"22722560\", alpha=\"0.19\", expect_size=\"11361280\"] \n  6 -> 7 [size =\"11361280\"]\n  7 [size=\"25069568\", alpha=\"0.00\", expect_size=\"12534784\"] \n  7 -> 8 [size =\"12534784\"]\n  8 [size=\"90003456\", alpha=\"0.09\", expect_size=\"45001728\"] \n  8 -> 9 [size =\"45001728\"]\n  9 [size=\"77543424\", alpha=\"0.16\", expect_size=\"38771712\"] \n  9 -> 10 [size =\"38771712\"]\n  10 [size=\"64888832\", alpha=\"0.05\", expect_size=\"32444416\"] \n  10 -> 11 [size =\"32444416\"]\n  11 [size=\"77000704\", alpha=\"0.03\", expect_size=\"38500352\"] \n  11 -> 12 [size =\"38500352\"]\n  12 [size=\"38184960\", alpha=\"0.10\", expect_size=\"19092480\"] \n  12 -> 13 [size =\"19092480\"]\n  13 [size=\"55891968\", alpha=\"0.01\", expect_size=\"27945984\"] \n  13 -> 14 [size =\"27945984\"]\n  14 [size=\"26918912\", alpha=\"0.13\", expect_size=\"13459456\"] \n  14 -> 15 [size =\"13459456\"]\n  15 [size=\"56317952\", alpha=\"0.09\", expect_size=\"28158976\"] \n  15 -> 16 [size =\"28158976\"]\n  16 [size=\"33486848\", alpha=\"0.13\", expect_size=\"16743424\"] \n  16 -> 17 [size =\"16743424\"]\n  17 [size=\"29372416\", alpha=\"0.09\", expect_size=\"14686208\"] \n  17 -> 18 [size =\"14686208\"]\n  18 [size=\"29708288\", alpha=\"0.11\", expect_size=\"14854144\"] \n  18 -> 19 [size =\"14854144\"]\n  19 [size=\"70230016\", alpha=\"0.03\", expect_size=\"35115008\"] \n  19 -> 20 [size =\"35115008\"]\n  20 [size=\"52510720\", alpha=\"0.06\", expect_size=\"26255360\"] \n  20 -> 21 [size =\"26255360\"]\n  21 [size=\"74524672\", alpha=\"0.14\", expect_size=\"37262336\"] \n  21 -> 22 [size =\"37262336\"]\n  22 [size=\"88434688\", alpha=\"0.04\", expect_size=\"44217344\"] \n  22 -> 23 [size =\"44217344\"]\n  23 [size=\"41787392\", alpha=\"0.14\", expect_size=\"20893696\"] \n  23 -> 24 [size =\"20893696\"]\n  24 [size=\"46262272\", alpha=\"0.03\", expect_size=\"23131136\"] \n  24 -> 25 [size =\"23131136\"]\n  25 [size=\"12527616\", alpha=\"0.08\", expect_size=\"6263808\"] \n  25 -> 26 [size =\"6263808\"]\n  26 [size=\"54075392\", alpha=\"0.16\", expect_size=\"27037696\"] \n  26 -> 27 [size =\"27037696\"]\n  27 [size=\"20748288\", alpha=\"0.07\", expect_size=\"10374144\"] \n  27 -> 28 [size =\"10374144\"]\n  28 [size=\"65171456\", alpha=\"0.15\", expect_size=\"32585728\"] \n  28 -> 29 [size =\"32585728\"]\n  29 [size=\"21538816\", alpha=\"0.16\", expect_size=\"10769408\"] \n  29 -> 30 [size =\"10769408\"]\n  30 [size=\"35979264\", alpha=\"0.10\", expect_size=\"17989632\"] \n  30 -> 31 [size =\"17989632\"]\n  31 [size=\"63891456\", alpha=\"0.17\", expect_size=\"31945728\"] \n  31 -> 32 [size =\"31945728\"]\n  32 [size=\"36843520\", alpha=\"0.11\", expect_size=\"18421760\"] \n  32 -> 33 [size =\"18421760\"]\n  33 [size=\"56958976\", alpha=\"0.14\", expect_size=\"28479488\"] \n  33 -> 34 [size =\"28479488\"]\n  34 [size=\"26564608\", alpha=\"0.00\", expect_size=\"13282304\"] \n  34 -> 35 [size =\"13282304\"]\n  35 [size=\"41682944\", alpha=\"0.17\", expect_size=\"20841472\"] \n  35 -> 36 [size =\"20841472\"]\n  36 [size=\"81063936\", alpha=\"0.18\", expect_size=\"40531968\"] \n  36 -> 37 [size =\"40531968\"]\n  37 [size=\"62570496\", alpha=\"0.03\", expect_size=\"31285248\"] \n  37 -> 38 [size =\"31285248\"]\n  38 [size=\"95158272\", alpha=\"0.12\", expect_size=\"47579136\"] \n  38 -> 39 [size =\"47579136\"]\n  39 [size=\"69605376\", alpha=\"0.14\", expect_size=\"34802688\"] \n  39 -> 40 [size =\"34802688\"]\n  40 [size=\"52969472\", alpha=\"0.04\", expect_size=\"26484736\"] \n  40 -> 41 [size =\"26484736\"]\n  41 [size=\"99653632\", alpha=\"0.09\", expect_size=\"49826816\"] \n  41 -> 42 [size =\"49826816\"]\n  42 [size=\"87429120\", alpha=\"0.09\", expect_size=\"43714560\"] \n  42 -> 43 [size =\"43714560\"]\n  43 [size=\"43995136\", alpha=\"0.17\", expect_size=\"21997568\"] \n  43 -> 44 [size =\"21997568\"]\n  44 [size=\"14759936\", alpha=\"0.12\", expect_size=\"7379968\"] \n  44 -> 45 [size =\"7379968\"]\n  45 [size=\"16158720\", alpha=\"0.07\", expect_size=\"8079360\"] \n  45 -> 46 [size =\"8079360\"]\n  46 [size=\"94027776\", alpha=\"0.12\", expect_size=\"47013888\"] \n  46 -> 47 [size =\"47013888\"]\n  47 [size=\"82622464\", alpha=\"0.19\", expect_size=\"41311232\"] \n  47 -> 48 [size =\"41311232\"]\n  48 [size=\"95207424\", alpha=\"0.17\", expect_size=\"47603712\"] \n  48 -> 49 [size =\"47603712\"]\n  49 [size=\"56629248\", alpha=\"0.18\", expect_size=\"28314624\"] \n  49 -> 50 [size =\"28314624\"]\n  50 [size=\"26640384\", alpha=\"0.05\", expect_size=\"13320192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.706.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79491072\", alpha=\"0.14\", expect_size=\"39745536\"] \n  1 -> 23 [size =\"39745536\"]\n  1 -> 23 [size =\"39745536\"]\n  1 -> 24 [size =\"39745536\"]\n  1 -> 25 [size =\"39745536\"]\n  1 -> 26 [size =\"39745536\"]\n  1 -> 30 [size =\"39745536\"]\n  1 -> 33 [size =\"39745536\"]\n  1 -> 34 [size =\"39745536\"]\n  1 -> 36 [size =\"39745536\"]\n  1 -> 37 [size =\"39745536\"]\n  1 -> 37 [size =\"39745536\"]\n  1 -> 38 [size =\"39745536\"]\n  1 -> 39 [size =\"39745536\"]\n  1 -> 41 [size =\"39745536\"]\n  2 [size=\"46735360\", alpha=\"0.19\", expect_size=\"23367680\"] \n  2 -> 22 [size =\"23367680\"]\n  2 -> 23 [size =\"23367680\"]\n  2 -> 24 [size =\"23367680\"]\n  2 -> 27 [size =\"23367680\"]\n  2 -> 29 [size =\"23367680\"]\n  2 -> 30 [size =\"23367680\"]\n  2 -> 31 [size =\"23367680\"]\n  2 -> 34 [size =\"23367680\"]\n  2 -> 36 [size =\"23367680\"]\n  2 -> 37 [size =\"23367680\"]\n  2 -> 38 [size =\"23367680\"]\n  2 -> 39 [size =\"23367680\"]\n  2 -> 40 [size =\"23367680\"]\n  2 -> 41 [size =\"23367680\"]\n  2 -> 42 [size =\"23367680\"]\n  3 [size=\"88156160\", alpha=\"0.04\", expect_size=\"44078080\"] \n  3 -> 23 [size =\"44078080\"]\n  3 -> 24 [size =\"44078080\"]\n  3 -> 24 [size =\"44078080\"]\n  3 -> 27 [size =\"44078080\"]\n  3 -> 28 [size =\"44078080\"]\n  3 -> 29 [size =\"44078080\"]\n  3 -> 31 [size =\"44078080\"]\n  3 -> 34 [size =\"44078080\"]\n  3 -> 36 [size =\"44078080\"]\n  3 -> 37 [size =\"44078080\"]\n  3 -> 38 [size =\"44078080\"]\n  3 -> 39 [size =\"44078080\"]\n  3 -> 41 [size =\"44078080\"]\n  3 -> 42 [size =\"44078080\"]\n  4 [size=\"102133760\", alpha=\"0.19\", expect_size=\"51066880\"] \n  4 -> 24 [size =\"51066880\"]\n  4 -> 25 [size =\"51066880\"]\n  4 -> 27 [size =\"51066880\"]\n  4 -> 28 [size =\"51066880\"]\n  4 -> 29 [size =\"51066880\"]\n  4 -> 32 [size =\"51066880\"]\n  4 -> 34 [size =\"51066880\"]\n  4 -> 36 [size =\"51066880\"]\n  4 -> 37 [size =\"51066880\"]\n  4 -> 38 [size =\"51066880\"]\n  4 -> 39 [size =\"51066880\"]\n  4 -> 39 [size =\"51066880\"]\n  4 -> 40 [size =\"51066880\"]\n  4 -> 41 [size =\"51066880\"]\n  4 -> 42 [size =\"51066880\"]\n  5 [size=\"95756288\", alpha=\"0.01\", expect_size=\"47878144\"] \n  5 -> 22 [size =\"47878144\"]\n  5 -> 23 [size =\"47878144\"]\n  5 -> 25 [size =\"47878144\"]\n  5 -> 27 [size =\"47878144\"]\n  5 -> 32 [size =\"47878144\"]\n  5 -> 35 [size =\"47878144\"]\n  5 -> 36 [size =\"47878144\"]\n  5 -> 38 [size =\"47878144\"]\n  5 -> 39 [size =\"47878144\"]\n  5 -> 41 [size =\"47878144\"]\n  6 [size=\"23007232\", alpha=\"0.02\", expect_size=\"11503616\"] \n  6 -> 22 [size =\"11503616\"]\n  6 -> 25 [size =\"11503616\"]\n  6 -> 25 [size =\"11503616\"]\n  6 -> 26 [size =\"11503616\"]\n  6 -> 27 [size =\"11503616\"]\n  6 -> 31 [size =\"11503616\"]\n  6 -> 37 [size =\"11503616\"]\n  6 -> 38 [size =\"11503616\"]\n  6 -> 41 [size =\"11503616\"]\n  6 -> 42 [size =\"11503616\"]\n  7 [size=\"15157248\", alpha=\"0.13\", expect_size=\"7578624\"] \n  7 -> 22 [size =\"7578624\"]\n  7 -> 25 [size =\"7578624\"]\n  7 -> 32 [size =\"7578624\"]\n  7 -> 34 [size =\"7578624\"]\n  7 -> 36 [size =\"7578624\"]\n  7 -> 41 [size =\"7578624\"]\n  7 -> 42 [size =\"7578624\"]\n  8 [size=\"60987392\", alpha=\"0.02\", expect_size=\"30493696\"] \n  8 -> 22 [size =\"30493696\"]\n  8 -> 24 [size =\"30493696\"]\n  8 -> 33 [size =\"30493696\"]\n  8 -> 34 [size =\"30493696\"]\n  8 -> 35 [size =\"30493696\"]\n  8 -> 36 [size =\"30493696\"]\n  8 -> 41 [size =\"30493696\"]\n  8 -> 42 [size =\"30493696\"]\n  9 [size=\"92489728\", alpha=\"0.13\", expect_size=\"46244864\"] \n  9 -> 22 [size =\"46244864\"]\n  9 -> 23 [size =\"46244864\"]\n  9 -> 24 [size =\"46244864\"]\n  9 -> 25 [size =\"46244864\"]\n  9 -> 28 [size =\"46244864\"]\n  9 -> 29 [size =\"46244864\"]\n  9 -> 31 [size =\"46244864\"]\n  9 -> 33 [size =\"46244864\"]\n  9 -> 36 [size =\"46244864\"]\n  9 -> 39 [size =\"46244864\"]\n  9 -> 41 [size =\"46244864\"]\n  10 [size=\"40488960\", alpha=\"0.12\", expect_size=\"20244480\"] \n  10 -> 22 [size =\"20244480\"]\n  10 -> 23 [size =\"20244480\"]\n  10 -> 25 [size =\"20244480\"]\n  10 -> 29 [size =\"20244480\"]\n  10 -> 33 [size =\"20244480\"]\n  10 -> 36 [size =\"20244480\"]\n  10 -> 37 [size =\"20244480\"]\n  10 -> 41 [size =\"20244480\"]\n  11 [size=\"80789504\", alpha=\"0.04\", expect_size=\"40394752\"] \n  11 -> 22 [size =\"40394752\"]\n  11 -> 27 [size =\"40394752\"]\n  11 -> 28 [size =\"40394752\"]\n  11 -> 31 [size =\"40394752\"]\n  11 -> 33 [size =\"40394752\"]\n  11 -> 36 [size =\"40394752\"]\n  11 -> 39 [size =\"40394752\"]\n  12 [size=\"51156992\", alpha=\"0.10\", expect_size=\"25578496\"] \n  12 -> 22 [size =\"25578496\"]\n  12 -> 24 [size =\"25578496\"]\n  12 -> 27 [size =\"25578496\"]\n  12 -> 29 [size =\"25578496\"]\n  12 -> 31 [size =\"25578496\"]\n  12 -> 33 [size =\"25578496\"]\n  12 -> 36 [size =\"25578496\"]\n  12 -> 39 [size =\"25578496\"]\n  12 -> 41 [size =\"25578496\"]\n  13 [size=\"46536704\", alpha=\"0.02\", expect_size=\"23268352\"] \n  13 -> 22 [size =\"23268352\"]\n  13 -> 23 [size =\"23268352\"]\n  13 -> 24 [size =\"23268352\"]\n  13 -> 25 [size =\"23268352\"]\n  13 -> 26 [size =\"23268352\"]\n  13 -> 28 [size =\"23268352\"]\n  13 -> 31 [size =\"23268352\"]\n  13 -> 33 [size =\"23268352\"]\n  13 -> 34 [size =\"23268352\"]\n  13 -> 36 [size =\"23268352\"]\n  13 -> 38 [size =\"23268352\"]\n  13 -> 41 [size =\"23268352\"]\n  13 -> 42 [size =\"23268352\"]\n  13 -> 43 [size =\"23268352\"]\n  14 [size=\"64663552\", alpha=\"0.00\", expect_size=\"32331776\"] \n  14 -> 22 [size =\"32331776\"]\n  14 -> 26 [size =\"32331776\"]\n  14 -> 27 [size =\"32331776\"]\n  14 -> 28 [size =\"32331776\"]\n  14 -> 31 [size =\"32331776\"]\n  14 -> 33 [size =\"32331776\"]\n  14 -> 34 [size =\"32331776\"]\n  14 -> 36 [size =\"32331776\"]\n  14 -> 38 [size =\"32331776\"]\n  14 -> 39 [size =\"32331776\"]\n  14 -> 41 [size =\"32331776\"]\n  15 [size=\"57872384\", alpha=\"0.07\", expect_size=\"28936192\"] \n  15 -> 22 [size =\"28936192\"]\n  15 -> 24 [size =\"28936192\"]\n  15 -> 27 [size =\"28936192\"]\n  15 -> 30 [size =\"28936192\"]\n  15 -> 33 [size =\"28936192\"]\n  15 -> 33 [size =\"28936192\"]\n  15 -> 34 [size =\"28936192\"]\n  15 -> 36 [size =\"28936192\"]\n  15 -> 38 [size =\"28936192\"]\n  15 -> 41 [size =\"28936192\"]\n  15 -> 42 [size =\"28936192\"]\n  16 [size=\"62801920\", alpha=\"0.08\", expect_size=\"31400960\"] \n  16 -> 22 [size =\"31400960\"]\n  16 -> 23 [size =\"31400960\"]\n  16 -> 24 [size =\"31400960\"]\n  16 -> 26 [size =\"31400960\"]\n  16 -> 27 [size =\"31400960\"]\n  16 -> 30 [size =\"31400960\"]\n  16 -> 34 [size =\"31400960\"]\n  16 -> 36 [size =\"31400960\"]\n  16 -> 38 [size =\"31400960\"]\n  16 -> 41 [size =\"31400960\"]\n  17 [size=\"74199040\", alpha=\"0.12\", expect_size=\"37099520\"] \n  17 -> 24 [size =\"37099520\"]\n  17 -> 25 [size =\"37099520\"]\n  17 -> 27 [size =\"37099520\"]\n  17 -> 28 [size =\"37099520\"]\n  17 -> 31 [size =\"37099520\"]\n  17 -> 33 [size =\"37099520\"]\n  17 -> 38 [size =\"37099520\"]\n  17 -> 41 [size =\"37099520\"]\n  18 [size=\"42700800\", alpha=\"0.18\", expect_size=\"21350400\"] \n  18 -> 24 [size =\"21350400\"]\n  18 -> 25 [size =\"21350400\"]\n  18 -> 27 [size =\"21350400\"]\n  18 -> 28 [size =\"21350400\"]\n  18 -> 31 [size =\"21350400\"]\n  18 -> 33 [size =\"21350400\"]\n  18 -> 34 [size =\"21350400\"]\n  18 -> 36 [size =\"21350400\"]\n  18 -> 37 [size =\"21350400\"]\n  18 -> 41 [size =\"21350400\"]\n  19 [size=\"50159616\", alpha=\"0.13\", expect_size=\"25079808\"] \n  19 -> 25 [size =\"25079808\"]\n  19 -> 25 [size =\"25079808\"]\n  19 -> 27 [size =\"25079808\"]\n  19 -> 31 [size =\"25079808\"]\n  19 -> 33 [size =\"25079808\"]\n  19 -> 34 [size =\"25079808\"]\n  19 -> 38 [size =\"25079808\"]\n  19 -> 39 [size =\"25079808\"]\n  19 -> 41 [size =\"25079808\"]\n  20 [size=\"17395712\", alpha=\"0.05\", expect_size=\"8697856\"] \n  20 -> 22 [size =\"8697856\"]\n  20 -> 23 [size =\"8697856\"]\n  20 -> 24 [size =\"8697856\"]\n  20 -> 25 [size =\"8697856\"]\n  20 -> 27 [size =\"8697856\"]\n  20 -> 30 [size =\"8697856\"]\n  20 -> 31 [size =\"8697856\"]\n  20 -> 33 [size =\"8697856\"]\n  20 -> 34 [size =\"8697856\"]\n  20 -> 36 [size =\"8697856\"]\n  20 -> 38 [size =\"8697856\"]\n  20 -> 39 [size =\"8697856\"]\n  20 -> 42 [size =\"8697856\"]\n  21 [size=\"76173312\", alpha=\"0.12\", expect_size=\"38086656\"] \n  21 -> 22 [size =\"38086656\"]\n  21 -> 23 [size =\"38086656\"]\n  21 -> 24 [size =\"38086656\"]\n  21 -> 25 [size =\"38086656\"]\n  21 -> 28 [size =\"38086656\"]\n  21 -> 29 [size =\"38086656\"]\n  21 -> 33 [size =\"38086656\"]\n  21 -> 34 [size =\"38086656\"]\n  21 -> 35 [size =\"38086656\"]\n  21 -> 36 [size =\"38086656\"]\n  21 -> 37 [size =\"38086656\"]\n  21 -> 39 [size =\"38086656\"]\n  21 -> 41 [size =\"38086656\"]\n  21 -> 42 [size =\"38086656\"]\n  22 [size=\"94191616\", alpha=\"0.07\", expect_size=\"47095808\"] \n  22 -> 44 [size =\"47095808\"]\n  22 -> 45 [size =\"47095808\"]\n  22 -> 46 [size =\"47095808\"]\n  22 -> 47 [size =\"47095808\"]\n  22 -> 48 [size =\"47095808\"]\n  22 -> 49 [size =\"47095808\"]\n  22 -> 50 [size =\"47095808\"]\n  23 [size=\"45289472\", alpha=\"0.18\", expect_size=\"22644736\"] \n  23 -> 44 [size =\"22644736\"]\n  23 -> 47 [size =\"22644736\"]\n  23 -> 48 [size =\"22644736\"]\n  23 -> 49 [size =\"22644736\"]\n  24 [size=\"56383488\", alpha=\"0.09\", expect_size=\"28191744\"] \n  24 -> 44 [size =\"28191744\"]\n  24 -> 47 [size =\"28191744\"]\n  24 -> 48 [size =\"28191744\"]\n  24 -> 49 [size =\"28191744\"]\n  24 -> 50 [size =\"28191744\"]\n  25 [size=\"57872384\", alpha=\"0.18\", expect_size=\"28936192\"] \n  25 -> 44 [size =\"28936192\"]\n  25 -> 45 [size =\"28936192\"]\n  25 -> 47 [size =\"28936192\"]\n  25 -> 48 [size =\"28936192\"]\n  25 -> 49 [size =\"28936192\"]\n  25 -> 50 [size =\"28936192\"]\n  26 [size=\"90429440\", alpha=\"0.09\", expect_size=\"45214720\"] \n  26 -> 44 [size =\"45214720\"]\n  26 -> 45 [size =\"45214720\"]\n  26 -> 47 [size =\"45214720\"]\n  26 -> 48 [size =\"45214720\"]\n  27 [size=\"33875968\", alpha=\"0.02\", expect_size=\"16937984\"] \n  27 -> 44 [size =\"16937984\"]\n  27 -> 45 [size =\"16937984\"]\n  27 -> 47 [size =\"16937984\"]\n  27 -> 48 [size =\"16937984\"]\n  27 -> 50 [size =\"16937984\"]\n  28 [size=\"90036224\", alpha=\"0.05\", expect_size=\"45018112\"] \n  28 -> 44 [size =\"45018112\"]\n  28 -> 47 [size =\"45018112\"]\n  28 -> 47 [size =\"45018112\"]\n  28 -> 48 [size =\"45018112\"]\n  28 -> 49 [size =\"45018112\"]\n  28 -> 50 [size =\"45018112\"]\n  29 [size=\"81950720\", alpha=\"0.05\", expect_size=\"40975360\"] \n  29 -> 44 [size =\"40975360\"]\n  29 -> 47 [size =\"40975360\"]\n  29 -> 48 [size =\"40975360\"]\n  29 -> 48 [size =\"40975360\"]\n  29 -> 50 [size =\"40975360\"]\n  30 [size=\"46573568\", alpha=\"0.12\", expect_size=\"23286784\"] \n  30 -> 44 [size =\"23286784\"]\n  30 -> 47 [size =\"23286784\"]\n  30 -> 49 [size =\"23286784\"]\n  31 [size=\"70356992\", alpha=\"0.14\", expect_size=\"35178496\"] \n  31 -> 44 [size =\"35178496\"]\n  31 -> 47 [size =\"35178496\"]\n  31 -> 49 [size =\"35178496\"]\n  32 [size=\"33560576\", alpha=\"0.05\", expect_size=\"16780288\"] \n  32 -> 45 [size =\"16780288\"]\n  32 -> 46 [size =\"16780288\"]\n  32 -> 47 [size =\"16780288\"]\n  32 -> 48 [size =\"16780288\"]\n  32 -> 49 [size =\"16780288\"]\n  33 [size=\"66807808\", alpha=\"0.03\", expect_size=\"33403904\"] \n  33 -> 44 [size =\"33403904\"]\n  33 -> 45 [size =\"33403904\"]\n  33 -> 46 [size =\"33403904\"]\n  33 -> 47 [size =\"33403904\"]\n  33 -> 48 [size =\"33403904\"]\n  33 -> 49 [size =\"33403904\"]\n  34 [size=\"59027456\", alpha=\"0.12\", expect_size=\"29513728\"] \n  34 -> 47 [size =\"29513728\"]\n  34 -> 48 [size =\"29513728\"]\n  35 [size=\"101865472\", alpha=\"0.12\", expect_size=\"50932736\"] \n  35 -> 44 [size =\"50932736\"]\n  35 -> 47 [size =\"50932736\"]\n  36 [size=\"91854848\", alpha=\"0.02\", expect_size=\"45927424\"] \n  36 -> 44 [size =\"45927424\"]\n  36 -> 47 [size =\"45927424\"]\n  36 -> 48 [size =\"45927424\"]\n  37 [size=\"41512960\", alpha=\"0.06\", expect_size=\"20756480\"] \n  37 -> 44 [size =\"20756480\"]\n  37 -> 47 [size =\"20756480\"]\n  37 -> 48 [size =\"20756480\"]\n  37 -> 49 [size =\"20756480\"]\n  38 [size=\"49887232\", alpha=\"0.17\", expect_size=\"24943616\"] \n  38 -> 44 [size =\"24943616\"]\n  38 -> 46 [size =\"24943616\"]\n  38 -> 48 [size =\"24943616\"]\n  38 -> 49 [size =\"24943616\"]\n  39 [size=\"73109504\", alpha=\"0.17\", expect_size=\"36554752\"] \n  39 -> 49 [size =\"36554752\"]\n  40 [size=\"98813952\", alpha=\"0.18\", expect_size=\"49406976\"] \n  41 [size=\"62629888\", alpha=\"0.12\", expect_size=\"31314944\"] \n  41 -> 44 [size =\"31314944\"]\n  41 -> 48 [size =\"31314944\"]\n  41 -> 49 [size =\"31314944\"]\n  41 -> 50 [size =\"31314944\"]\n  42 [size=\"34865152\", alpha=\"0.05\", expect_size=\"17432576\"] \n  42 -> 44 [size =\"17432576\"]\n  42 -> 47 [size =\"17432576\"]\n  42 -> 48 [size =\"17432576\"]\n  42 -> 49 [size =\"17432576\"]\n  43 [size=\"56190976\", alpha=\"0.05\", expect_size=\"28095488\"] \n  43 -> 45 [size =\"28095488\"]\n  43 -> 46 [size =\"28095488\"]\n  43 -> 47 [size =\"28095488\"]\n  43 -> 48 [size =\"28095488\"]\n  43 -> 49 [size =\"28095488\"]\n  44 [size=\"68284416\", alpha=\"0.15\", expect_size=\"34142208\"] \n  45 [size=\"30955520\", alpha=\"0.14\", expect_size=\"15477760\"] \n  46 [size=\"85962752\", alpha=\"0.11\", expect_size=\"42981376\"] \n  47 [size=\"96878592\", alpha=\"0.12\", expect_size=\"48439296\"] \n  48 [size=\"33048576\", alpha=\"0.11\", expect_size=\"16524288\"] \n  49 [size=\"21059584\", alpha=\"0.04\", expect_size=\"10529792\"] \n  50 [size=\"100589568\", alpha=\"0.06\", expect_size=\"50294784\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.707.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86108160\", alpha=\"0.02\", expect_size=\"25832448\"] \n  1 -> 19 [size =\"25832448\"]\n  1 -> 27 [size =\"25832448\"]\n  2 [size=\"156091733\", alpha=\"0.20\", expect_size=\"46827520\"] \n  2 -> 15 [size =\"46827520\"]\n  2 -> 18 [size =\"46827520\"]\n  2 -> 20 [size =\"46827520\"]\n  2 -> 23 [size =\"46827520\"]\n  2 -> 26 [size =\"46827520\"]\n  2 -> 27 [size =\"46827520\"]\n  3 [size=\"41908907\", alpha=\"0.16\", expect_size=\"12572672\"] \n  3 -> 15 [size =\"12572672\"]\n  3 -> 16 [size =\"12572672\"]\n  3 -> 20 [size =\"12572672\"]\n  3 -> 22 [size =\"12572672\"]\n  3 -> 26 [size =\"12572672\"]\n  3 -> 27 [size =\"12572672\"]\n  4 [size=\"96570027\", alpha=\"0.07\", expect_size=\"28971008\"] \n  4 -> 15 [size =\"28971008\"]\n  4 -> 16 [size =\"28971008\"]\n  4 -> 20 [size =\"28971008\"]\n  4 -> 22 [size =\"28971008\"]\n  4 -> 27 [size =\"28971008\"]\n  4 -> 27 [size =\"28971008\"]\n  5 [size=\"126668800\", alpha=\"0.11\", expect_size=\"38000640\"] \n  5 -> 14 [size =\"38000640\"]\n  5 -> 15 [size =\"38000640\"]\n  5 -> 19 [size =\"38000640\"]\n  5 -> 20 [size =\"38000640\"]\n  5 -> 22 [size =\"38000640\"]\n  5 -> 27 [size =\"38000640\"]\n  6 [size=\"156235093\", alpha=\"0.03\", expect_size=\"46870528\"] \n  6 -> 15 [size =\"46870528\"]\n  6 -> 17 [size =\"46870528\"]\n  6 -> 20 [size =\"46870528\"]\n  7 [size=\"112476160\", alpha=\"0.10\", expect_size=\"33742848\"] \n  7 -> 15 [size =\"33742848\"]\n  7 -> 19 [size =\"33742848\"]\n  7 -> 25 [size =\"33742848\"]\n  8 [size=\"140724907\", alpha=\"0.06\", expect_size=\"42217472\"] \n  8 -> 17 [size =\"42217472\"]\n  8 -> 18 [size =\"42217472\"]\n  8 -> 19 [size =\"42217472\"]\n  8 -> 20 [size =\"42217472\"]\n  8 -> 21 [size =\"42217472\"]\n  8 -> 22 [size =\"42217472\"]\n  8 -> 25 [size =\"42217472\"]\n  8 -> 27 [size =\"42217472\"]\n  9 [size=\"159631360\", alpha=\"0.11\", expect_size=\"47889408\"] \n  9 -> 17 [size =\"47889408\"]\n  9 -> 18 [size =\"47889408\"]\n  9 -> 19 [size =\"47889408\"]\n  9 -> 20 [size =\"47889408\"]\n  9 -> 21 [size =\"47889408\"]\n  9 -> 22 [size =\"47889408\"]\n  9 -> 25 [size =\"47889408\"]\n  10 [size=\"23668053\", alpha=\"0.02\", expect_size=\"7100416\"] \n  10 -> 14 [size =\"7100416\"]\n  10 -> 16 [size =\"7100416\"]\n  10 -> 17 [size =\"7100416\"]\n  10 -> 18 [size =\"7100416\"]\n  10 -> 19 [size =\"7100416\"]\n  10 -> 22 [size =\"7100416\"]\n  10 -> 25 [size =\"7100416\"]\n  11 [size=\"82640213\", alpha=\"0.05\", expect_size=\"24792064\"] \n  11 -> 16 [size =\"24792064\"]\n  11 -> 17 [size =\"24792064\"]\n  11 -> 17 [size =\"24792064\"]\n  11 -> 19 [size =\"24792064\"]\n  11 -> 24 [size =\"24792064\"]\n  11 -> 25 [size =\"24792064\"]\n  11 -> 25 [size =\"24792064\"]\n  11 -> 26 [size =\"24792064\"]\n  12 [size=\"100027733\", alpha=\"0.06\", expect_size=\"30008320\"] \n  12 -> 20 [size =\"30008320\"]\n  12 -> 26 [size =\"30008320\"]\n  13 [size=\"99679573\", alpha=\"0.16\", expect_size=\"29903872\"] \n  13 -> 15 [size =\"29903872\"]\n  13 -> 26 [size =\"29903872\"]\n  14 [size=\"65136640\", alpha=\"0.05\", expect_size=\"19540992\"] \n  14 -> 28 [size =\"19540992\"]\n  14 -> 30 [size =\"19540992\"]\n  14 -> 32 [size =\"19540992\"]\n  14 -> 33 [size =\"19540992\"]\n  14 -> 35 [size =\"19540992\"]\n  14 -> 39 [size =\"19540992\"]\n  15 [size=\"117179733\", alpha=\"0.06\", expect_size=\"35153920\"] \n  15 -> 30 [size =\"35153920\"]\n  15 -> 33 [size =\"35153920\"]\n  15 -> 37 [size =\"35153920\"]\n  16 [size=\"43076267\", alpha=\"0.12\", expect_size=\"12922880\"] \n  16 -> 32 [size =\"12922880\"]\n  16 -> 33 [size =\"12922880\"]\n  16 -> 34 [size =\"12922880\"]\n  16 -> 36 [size =\"12922880\"]\n  16 -> 37 [size =\"12922880\"]\n  16 -> 39 [size =\"12922880\"]\n  17 [size=\"69754880\", alpha=\"0.10\", expect_size=\"20926464\"] \n  17 -> 34 [size =\"20926464\"]\n  17 -> 35 [size =\"20926464\"]\n  17 -> 37 [size =\"20926464\"]\n  18 [size=\"149674667\", alpha=\"0.10\", expect_size=\"44902400\"] \n  18 -> 29 [size =\"44902400\"]\n  18 -> 35 [size =\"44902400\"]\n  18 -> 37 [size =\"44902400\"]\n  19 [size=\"35816107\", alpha=\"0.16\", expect_size=\"10744832\"] \n  19 -> 30 [size =\"10744832\"]\n  19 -> 34 [size =\"10744832\"]\n  19 -> 35 [size =\"10744832\"]\n  19 -> 36 [size =\"10744832\"]\n  19 -> 37 [size =\"10744832\"]\n  20 [size=\"125265920\", alpha=\"0.07\", expect_size=\"37579776\"] \n  20 -> 30 [size =\"37579776\"]\n  20 -> 32 [size =\"37579776\"]\n  20 -> 33 [size =\"37579776\"]\n  20 -> 34 [size =\"37579776\"]\n  20 -> 37 [size =\"37579776\"]\n  20 -> 41 [size =\"37579776\"]\n  21 [size=\"141591893\", alpha=\"0.08\", expect_size=\"42477568\"] \n  21 -> 30 [size =\"42477568\"]\n  21 -> 34 [size =\"42477568\"]\n  21 -> 35 [size =\"42477568\"]\n  21 -> 36 [size =\"42477568\"]\n  21 -> 37 [size =\"42477568\"]\n  21 -> 39 [size =\"42477568\"]\n  21 -> 40 [size =\"42477568\"]\n  22 [size=\"21179733\", alpha=\"0.06\", expect_size=\"6353920\"] \n  22 -> 30 [size =\"6353920\"]\n  22 -> 32 [size =\"6353920\"]\n  22 -> 34 [size =\"6353920\"]\n  22 -> 36 [size =\"6353920\"]\n  22 -> 39 [size =\"6353920\"]\n  23 [size=\"68314453\", alpha=\"0.07\", expect_size=\"20494336\"] \n  23 -> 30 [size =\"20494336\"]\n  23 -> 36 [size =\"20494336\"]\n  23 -> 38 [size =\"20494336\"]\n  23 -> 39 [size =\"20494336\"]\n  23 -> 39 [size =\"20494336\"]\n  24 [size=\"39837013\", alpha=\"0.18\", expect_size=\"11951104\"] \n  24 -> 28 [size =\"11951104\"]\n  24 -> 29 [size =\"11951104\"]\n  24 -> 31 [size =\"11951104\"]\n  24 -> 33 [size =\"11951104\"]\n  24 -> 36 [size =\"11951104\"]\n  24 -> 38 [size =\"11951104\"]\n  25 [size=\"76605440\", alpha=\"0.03\", expect_size=\"22981632\"] \n  25 -> 28 [size =\"22981632\"]\n  25 -> 30 [size =\"22981632\"]\n  25 -> 33 [size =\"22981632\"]\n  25 -> 35 [size =\"22981632\"]\n  25 -> 38 [size =\"22981632\"]\n  25 -> 40 [size =\"22981632\"]\n  25 -> 41 [size =\"22981632\"]\n  25 -> 42 [size =\"22981632\"]\n  26 [size=\"126661973\", alpha=\"0.06\", expect_size=\"37998592\"] \n  26 -> 28 [size =\"37998592\"]\n  26 -> 33 [size =\"37998592\"]\n  26 -> 35 [size =\"37998592\"]\n  26 -> 36 [size =\"37998592\"]\n  26 -> 42 [size =\"37998592\"]\n  27 [size=\"61791573\", alpha=\"0.00\", expect_size=\"18537472\"] \n  27 -> 30 [size =\"18537472\"]\n  27 -> 32 [size =\"18537472\"]\n  27 -> 33 [size =\"18537472\"]\n  27 -> 35 [size =\"18537472\"]\n  27 -> 36 [size =\"18537472\"]\n  27 -> 41 [size =\"18537472\"]\n  28 [size=\"140424533\", alpha=\"0.11\", expect_size=\"42127360\"] \n  28 -> 45 [size =\"42127360\"]\n  28 -> 47 [size =\"42127360\"]\n  28 -> 48 [size =\"42127360\"]\n  28 -> 49 [size =\"42127360\"]\n  28 -> 50 [size =\"42127360\"]\n  29 [size=\"62163627\", alpha=\"0.19\", expect_size=\"18649088\"] \n  29 -> 43 [size =\"18649088\"]\n  29 -> 44 [size =\"18649088\"]\n  29 -> 46 [size =\"18649088\"]\n  29 -> 47 [size =\"18649088\"]\n  29 -> 50 [size =\"18649088\"]\n  30 [size=\"28644693\", alpha=\"0.08\", expect_size=\"8593408\"] \n  30 -> 44 [size =\"8593408\"]\n  30 -> 47 [size =\"8593408\"]\n  30 -> 48 [size =\"8593408\"]\n  30 -> 50 [size =\"8593408\"]\n  31 [size=\"86466560\", alpha=\"0.06\", expect_size=\"25939968\"] \n  31 -> 43 [size =\"25939968\"]\n  31 -> 44 [size =\"25939968\"]\n  31 -> 45 [size =\"25939968\"]\n  31 -> 47 [size =\"25939968\"]\n  32 [size=\"146974720\", alpha=\"0.14\", expect_size=\"44092416\"] \n  32 -> 43 [size =\"44092416\"]\n  32 -> 45 [size =\"44092416\"]\n  33 [size=\"34218667\", alpha=\"0.13\", expect_size=\"10265600\"] \n  33 -> 43 [size =\"10265600\"]\n  33 -> 44 [size =\"10265600\"]\n  33 -> 45 [size =\"10265600\"]\n  33 -> 47 [size =\"10265600\"]\n  33 -> 48 [size =\"10265600\"]\n  34 [size=\"87197013\", alpha=\"0.17\", expect_size=\"26159104\"] \n  34 -> 45 [size =\"26159104\"]\n  34 -> 47 [size =\"26159104\"]\n  34 -> 48 [size =\"26159104\"]\n  34 -> 50 [size =\"26159104\"]\n  35 [size=\"70434133\", alpha=\"0.14\", expect_size=\"21130240\"] \n  35 -> 44 [size =\"21130240\"]\n  35 -> 47 [size =\"21130240\"]\n  35 -> 50 [size =\"21130240\"]\n  36 [size=\"93129387\", alpha=\"0.15\", expect_size=\"27938816\"] \n  36 -> 44 [size =\"27938816\"]\n  36 -> 46 [size =\"27938816\"]\n  36 -> 47 [size =\"27938816\"]\n  36 -> 48 [size =\"27938816\"]\n  37 [size=\"136755200\", alpha=\"0.02\", expect_size=\"41026560\"] \n  37 -> 48 [size =\"41026560\"]\n  38 [size=\"139025067\", alpha=\"0.06\", expect_size=\"41707520\"] \n  38 -> 43 [size =\"41707520\"]\n  38 -> 46 [size =\"41707520\"]\n  38 -> 50 [size =\"41707520\"]\n  39 [size=\"65904640\", alpha=\"0.12\", expect_size=\"19771392\"] \n  39 -> 43 [size =\"19771392\"]\n  39 -> 47 [size =\"19771392\"]\n  39 -> 50 [size =\"19771392\"]\n  40 [size=\"59552427\", alpha=\"0.12\", expect_size=\"17865728\"] \n  40 -> 43 [size =\"17865728\"]\n  40 -> 44 [size =\"17865728\"]\n  40 -> 48 [size =\"17865728\"]\n  40 -> 50 [size =\"17865728\"]\n  41 [size=\"126163627\", alpha=\"0.08\", expect_size=\"37849088\"] \n  41 -> 48 [size =\"37849088\"]\n  42 [size=\"173612373\", alpha=\"0.04\", expect_size=\"52083712\"] \n  42 -> 45 [size =\"52083712\"]\n  42 -> 46 [size =\"52083712\"]\n  42 -> 50 [size =\"52083712\"]\n  43 [size=\"127170560\", alpha=\"0.07\", expect_size=\"38151168\"] \n  44 [size=\"69038080\", alpha=\"0.13\", expect_size=\"20711424\"] \n  45 [size=\"46878720\", alpha=\"0.06\", expect_size=\"14063616\"] \n  46 [size=\"160395947\", alpha=\"0.13\", expect_size=\"48118784\"] \n  47 [size=\"120613547\", alpha=\"0.05\", expect_size=\"36184064\"] \n  48 [size=\"137103360\", alpha=\"0.14\", expect_size=\"41131008\"] \n  49 [size=\"27487573\", alpha=\"0.08\", expect_size=\"8246272\"] \n  50 [size=\"124689067\", alpha=\"0.03\", expect_size=\"37406720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.708.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47507456\", alpha=\"0.10\", expect_size=\"23753728\"] \n  1 -> 2 [size =\"23753728\"]\n  2 [size=\"95987712\", alpha=\"0.19\", expect_size=\"47993856\"] \n  2 -> 3 [size =\"47993856\"]\n  3 [size=\"72042496\", alpha=\"0.12\", expect_size=\"36021248\"] \n  3 -> 4 [size =\"36021248\"]\n  4 [size=\"33617920\", alpha=\"0.19\", expect_size=\"16808960\"] \n  4 -> 5 [size =\"16808960\"]\n  5 [size=\"28418048\", alpha=\"0.07\", expect_size=\"14209024\"] \n  5 -> 6 [size =\"14209024\"]\n  6 [size=\"24614912\", alpha=\"0.08\", expect_size=\"12307456\"] \n  6 -> 7 [size =\"12307456\"]\n  7 [size=\"99342336\", alpha=\"0.02\", expect_size=\"49671168\"] \n  7 -> 8 [size =\"49671168\"]\n  8 [size=\"95426560\", alpha=\"0.13\", expect_size=\"47713280\"] \n  8 -> 9 [size =\"47713280\"]\n  9 [size=\"52119552\", alpha=\"0.02\", expect_size=\"26059776\"] \n  9 -> 10 [size =\"26059776\"]\n  10 [size=\"32389120\", alpha=\"0.03\", expect_size=\"16194560\"] \n  10 -> 11 [size =\"16194560\"]\n  11 [size=\"51853312\", alpha=\"0.13\", expect_size=\"25926656\"] \n  11 -> 12 [size =\"25926656\"]\n  12 [size=\"97609728\", alpha=\"0.16\", expect_size=\"48804864\"] \n  12 -> 13 [size =\"48804864\"]\n  13 [size=\"93212672\", alpha=\"0.18\", expect_size=\"46606336\"] \n  13 -> 14 [size =\"46606336\"]\n  14 [size=\"57612288\", alpha=\"0.09\", expect_size=\"28806144\"] \n  14 -> 15 [size =\"28806144\"]\n  15 [size=\"50737152\", alpha=\"0.20\", expect_size=\"25368576\"] \n  15 -> 16 [size =\"25368576\"]\n  16 [size=\"86009856\", alpha=\"0.08\", expect_size=\"43004928\"] \n  16 -> 17 [size =\"43004928\"]\n  17 [size=\"28923904\", alpha=\"0.14\", expect_size=\"14461952\"] \n  17 -> 18 [size =\"14461952\"]\n  18 [size=\"37967872\", alpha=\"0.09\", expect_size=\"18983936\"] \n  18 -> 19 [size =\"18983936\"]\n  19 [size=\"98725888\", alpha=\"0.07\", expect_size=\"49362944\"] \n  19 -> 20 [size =\"49362944\"]\n  20 [size=\"13328384\", alpha=\"0.19\", expect_size=\"6664192\"] \n  20 -> 21 [size =\"6664192\"]\n  21 [size=\"28989440\", alpha=\"0.18\", expect_size=\"14494720\"] \n  21 -> 22 [size =\"14494720\"]\n  22 [size=\"91183104\", alpha=\"0.15\", expect_size=\"45591552\"] \n  22 -> 23 [size =\"45591552\"]\n  23 [size=\"73877504\", alpha=\"0.06\", expect_size=\"36938752\"] \n  23 -> 24 [size =\"36938752\"]\n  24 [size=\"65222656\", alpha=\"0.01\", expect_size=\"32611328\"] \n  24 -> 25 [size =\"32611328\"]\n  25 [size=\"11098112\", alpha=\"0.01\", expect_size=\"5549056\"] \n  25 -> 26 [size =\"5549056\"]\n  26 [size=\"10737664\", alpha=\"0.03\", expect_size=\"5368832\"] \n  26 -> 27 [size =\"5368832\"]\n  27 [size=\"50821120\", alpha=\"0.04\", expect_size=\"25410560\"] \n  27 -> 28 [size =\"25410560\"]\n  28 [size=\"21250048\", alpha=\"0.03\", expect_size=\"10625024\"] \n  28 -> 29 [size =\"10625024\"]\n  29 [size=\"64626688\", alpha=\"0.11\", expect_size=\"32313344\"] \n  29 -> 30 [size =\"32313344\"]\n  30 [size=\"98009088\", alpha=\"0.04\", expect_size=\"49004544\"] \n  30 -> 31 [size =\"49004544\"]\n  31 [size=\"91430912\", alpha=\"0.05\", expect_size=\"45715456\"] \n  31 -> 32 [size =\"45715456\"]\n  32 [size=\"81915904\", alpha=\"0.05\", expect_size=\"40957952\"] \n  32 -> 33 [size =\"40957952\"]\n  33 [size=\"60592128\", alpha=\"0.02\", expect_size=\"30296064\"] \n  33 -> 34 [size =\"30296064\"]\n  34 [size=\"89018368\", alpha=\"0.09\", expect_size=\"44509184\"] \n  34 -> 35 [size =\"44509184\"]\n  35 [size=\"95956992\", alpha=\"0.05\", expect_size=\"47978496\"] \n  35 -> 36 [size =\"47978496\"]\n  36 [size=\"99338240\", alpha=\"0.17\", expect_size=\"49669120\"] \n  36 -> 37 [size =\"49669120\"]\n  37 [size=\"18921472\", alpha=\"0.13\", expect_size=\"9460736\"] \n  37 -> 38 [size =\"9460736\"]\n  38 [size=\"37935104\", alpha=\"0.14\", expect_size=\"18967552\"] \n  38 -> 39 [size =\"18967552\"]\n  39 [size=\"52578304\", alpha=\"0.14\", expect_size=\"26289152\"] \n  39 -> 40 [size =\"26289152\"]\n  40 [size=\"104484864\", alpha=\"0.15\", expect_size=\"52242432\"] \n  40 -> 41 [size =\"52242432\"]\n  41 [size=\"26814464\", alpha=\"0.00\", expect_size=\"13407232\"] \n  41 -> 42 [size =\"13407232\"]\n  42 [size=\"49680384\", alpha=\"0.02\", expect_size=\"24840192\"] \n  42 -> 43 [size =\"24840192\"]\n  43 [size=\"71462912\", alpha=\"0.17\", expect_size=\"35731456\"] \n  43 -> 44 [size =\"35731456\"]\n  44 [size=\"80515072\", alpha=\"0.04\", expect_size=\"40257536\"] \n  44 -> 45 [size =\"40257536\"]\n  45 [size=\"29593600\", alpha=\"0.11\", expect_size=\"14796800\"] \n  45 -> 46 [size =\"14796800\"]\n  46 [size=\"53323776\", alpha=\"0.18\", expect_size=\"26661888\"] \n  46 -> 47 [size =\"26661888\"]\n  47 [size=\"38483968\", alpha=\"0.14\", expect_size=\"19241984\"] \n  47 -> 48 [size =\"19241984\"]\n  48 [size=\"97888256\", alpha=\"0.12\", expect_size=\"48944128\"] \n  48 -> 49 [size =\"48944128\"]\n  49 [size=\"70270976\", alpha=\"0.01\", expect_size=\"35135488\"] \n  49 -> 50 [size =\"35135488\"]\n  50 [size=\"43878400\", alpha=\"0.09\", expect_size=\"21939200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.709.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121105067\", alpha=\"0.00\", expect_size=\"36331520\"] \n  1 -> 20 [size =\"36331520\"]\n  1 -> 22 [size =\"36331520\"]\n  1 -> 22 [size =\"36331520\"]\n  1 -> 25 [size =\"36331520\"]\n  1 -> 27 [size =\"36331520\"]\n  1 -> 29 [size =\"36331520\"]\n  1 -> 30 [size =\"36331520\"]\n  1 -> 31 [size =\"36331520\"]\n  1 -> 32 [size =\"36331520\"]\n  1 -> 35 [size =\"36331520\"]\n  1 -> 36 [size =\"36331520\"]\n  2 [size=\"105359360\", alpha=\"0.16\", expect_size=\"31607808\"] \n  2 -> 17 [size =\"31607808\"]\n  2 -> 20 [size =\"31607808\"]\n  2 -> 25 [size =\"31607808\"]\n  2 -> 26 [size =\"31607808\"]\n  2 -> 27 [size =\"31607808\"]\n  2 -> 28 [size =\"31607808\"]\n  2 -> 33 [size =\"31607808\"]\n  2 -> 36 [size =\"31607808\"]\n  3 [size=\"71171413\", alpha=\"0.13\", expect_size=\"21351424\"] \n  3 -> 22 [size =\"21351424\"]\n  3 -> 23 [size =\"21351424\"]\n  3 -> 25 [size =\"21351424\"]\n  3 -> 27 [size =\"21351424\"]\n  3 -> 27 [size =\"21351424\"]\n  3 -> 32 [size =\"21351424\"]\n  3 -> 37 [size =\"21351424\"]\n  4 [size=\"157696000\", alpha=\"0.18\", expect_size=\"47308800\"] \n  4 -> 17 [size =\"47308800\"]\n  4 -> 20 [size =\"47308800\"]\n  4 -> 24 [size =\"47308800\"]\n  4 -> 25 [size =\"47308800\"]\n  4 -> 26 [size =\"47308800\"]\n  4 -> 27 [size =\"47308800\"]\n  4 -> 28 [size =\"47308800\"]\n  4 -> 30 [size =\"47308800\"]\n  4 -> 31 [size =\"47308800\"]\n  4 -> 32 [size =\"47308800\"]\n  4 -> 35 [size =\"47308800\"]\n  4 -> 37 [size =\"47308800\"]\n  5 [size=\"45236907\", alpha=\"0.13\", expect_size=\"13571072\"] \n  5 -> 18 [size =\"13571072\"]\n  5 -> 20 [size =\"13571072\"]\n  5 -> 22 [size =\"13571072\"]\n  5 -> 25 [size =\"13571072\"]\n  5 -> 32 [size =\"13571072\"]\n  5 -> 34 [size =\"13571072\"]\n  5 -> 35 [size =\"13571072\"]\n  6 [size=\"144950613\", alpha=\"0.01\", expect_size=\"43485184\"] \n  6 -> 19 [size =\"43485184\"]\n  6 -> 25 [size =\"43485184\"]\n  6 -> 28 [size =\"43485184\"]\n  6 -> 36 [size =\"43485184\"]\n  6 -> 37 [size =\"43485184\"]\n  7 [size=\"79957333\", alpha=\"0.18\", expect_size=\"23987200\"] \n  7 -> 18 [size =\"23987200\"]\n  7 -> 22 [size =\"23987200\"]\n  7 -> 23 [size =\"23987200\"]\n  7 -> 25 [size =\"23987200\"]\n  7 -> 28 [size =\"23987200\"]\n  7 -> 30 [size =\"23987200\"]\n  7 -> 31 [size =\"23987200\"]\n  7 -> 32 [size =\"23987200\"]\n  7 -> 36 [size =\"23987200\"]\n  7 -> 37 [size =\"23987200\"]\n  8 [size=\"165259947\", alpha=\"0.07\", expect_size=\"49577984\"] \n  8 -> 23 [size =\"49577984\"]\n  8 -> 28 [size =\"49577984\"]\n  8 -> 30 [size =\"49577984\"]\n  8 -> 35 [size =\"49577984\"]\n  8 -> 36 [size =\"49577984\"]\n  8 -> 37 [size =\"49577984\"]\n  9 [size=\"29122560\", alpha=\"0.01\", expect_size=\"8736768\"] \n  9 -> 18 [size =\"8736768\"]\n  9 -> 20 [size =\"8736768\"]\n  9 -> 23 [size =\"8736768\"]\n  9 -> 26 [size =\"8736768\"]\n  9 -> 28 [size =\"8736768\"]\n  9 -> 29 [size =\"8736768\"]\n  9 -> 30 [size =\"8736768\"]\n  9 -> 35 [size =\"8736768\"]\n  9 -> 37 [size =\"8736768\"]\n  10 [size=\"104328533\", alpha=\"0.00\", expect_size=\"31298560\"] \n  10 -> 18 [size =\"31298560\"]\n  10 -> 21 [size =\"31298560\"]\n  10 -> 25 [size =\"31298560\"]\n  10 -> 28 [size =\"31298560\"]\n  10 -> 31 [size =\"31298560\"]\n  10 -> 32 [size =\"31298560\"]\n  10 -> 33 [size =\"31298560\"]\n  10 -> 35 [size =\"31298560\"]\n  10 -> 37 [size =\"31298560\"]\n  11 [size=\"64976213\", alpha=\"0.04\", expect_size=\"19492864\"] \n  11 -> 17 [size =\"19492864\"]\n  11 -> 20 [size =\"19492864\"]\n  11 -> 21 [size =\"19492864\"]\n  11 -> 23 [size =\"19492864\"]\n  11 -> 24 [size =\"19492864\"]\n  11 -> 28 [size =\"19492864\"]\n  11 -> 31 [size =\"19492864\"]\n  11 -> 35 [size =\"19492864\"]\n  11 -> 36 [size =\"19492864\"]\n  11 -> 37 [size =\"19492864\"]\n  12 [size=\"67966293\", alpha=\"0.15\", expect_size=\"20389888\"] \n  12 -> 18 [size =\"20389888\"]\n  12 -> 20 [size =\"20389888\"]\n  12 -> 21 [size =\"20389888\"]\n  12 -> 27 [size =\"20389888\"]\n  12 -> 30 [size =\"20389888\"]\n  12 -> 36 [size =\"20389888\"]\n  12 -> 37 [size =\"20389888\"]\n  13 [size=\"35474773\", alpha=\"0.19\", expect_size=\"10642432\"] \n  13 -> 18 [size =\"10642432\"]\n  13 -> 21 [size =\"10642432\"]\n  13 -> 22 [size =\"10642432\"]\n  13 -> 25 [size =\"10642432\"]\n  13 -> 27 [size =\"10642432\"]\n  13 -> 30 [size =\"10642432\"]\n  13 -> 32 [size =\"10642432\"]\n  13 -> 34 [size =\"10642432\"]\n  13 -> 37 [size =\"10642432\"]\n  14 [size=\"141568000\", alpha=\"0.04\", expect_size=\"42470400\"] \n  14 -> 17 [size =\"42470400\"]\n  14 -> 18 [size =\"42470400\"]\n  14 -> 21 [size =\"42470400\"]\n  14 -> 22 [size =\"42470400\"]\n  14 -> 25 [size =\"42470400\"]\n  14 -> 27 [size =\"42470400\"]\n  14 -> 30 [size =\"42470400\"]\n  14 -> 32 [size =\"42470400\"]\n  14 -> 34 [size =\"42470400\"]\n  14 -> 35 [size =\"42470400\"]\n  15 [size=\"124357973\", alpha=\"0.12\", expect_size=\"37307392\"] \n  15 -> 20 [size =\"37307392\"]\n  15 -> 22 [size =\"37307392\"]\n  15 -> 23 [size =\"37307392\"]\n  15 -> 27 [size =\"37307392\"]\n  15 -> 28 [size =\"37307392\"]\n  15 -> 30 [size =\"37307392\"]\n  15 -> 30 [size =\"37307392\"]\n  16 [size=\"69768533\", alpha=\"0.03\", expect_size=\"20930560\"] \n  16 -> 19 [size =\"20930560\"]\n  16 -> 20 [size =\"20930560\"]\n  16 -> 22 [size =\"20930560\"]\n  16 -> 23 [size =\"20930560\"]\n  16 -> 24 [size =\"20930560\"]\n  16 -> 27 [size =\"20930560\"]\n  16 -> 28 [size =\"20930560\"]\n  16 -> 30 [size =\"20930560\"]\n  16 -> 31 [size =\"20930560\"]\n  16 -> 32 [size =\"20930560\"]\n  16 -> 37 [size =\"20930560\"]\n  17 [size=\"81182720\", alpha=\"0.02\", expect_size=\"24354816\"] \n  17 -> 38 [size =\"24354816\"]\n  17 -> 43 [size =\"24354816\"]\n  17 -> 47 [size =\"24354816\"]\n  17 -> 48 [size =\"24354816\"]\n  18 [size=\"67584000\", alpha=\"0.06\", expect_size=\"20275200\"] \n  18 -> 38 [size =\"20275200\"]\n  18 -> 39 [size =\"20275200\"]\n  18 -> 45 [size =\"20275200\"]\n  19 [size=\"124467200\", alpha=\"0.12\", expect_size=\"37340160\"] \n  19 -> 44 [size =\"37340160\"]\n  19 -> 45 [size =\"37340160\"]\n  19 -> 46 [size =\"37340160\"]\n  19 -> 47 [size =\"37340160\"]\n  19 -> 48 [size =\"37340160\"]\n  19 -> 50 [size =\"37340160\"]\n  20 [size=\"134526293\", alpha=\"0.09\", expect_size=\"40357888\"] \n  20 -> 42 [size =\"40357888\"]\n  20 -> 44 [size =\"40357888\"]\n  21 [size=\"137236480\", alpha=\"0.20\", expect_size=\"41170944\"] \n  21 -> 42 [size =\"41170944\"]\n  22 [size=\"167946240\", alpha=\"0.01\", expect_size=\"50383872\"] \n  22 -> 38 [size =\"50383872\"]\n  22 -> 39 [size =\"50383872\"]\n  22 -> 42 [size =\"50383872\"]\n  22 -> 44 [size =\"50383872\"]\n  22 -> 45 [size =\"50383872\"]\n  22 -> 48 [size =\"50383872\"]\n  23 [size=\"130686293\", alpha=\"0.10\", expect_size=\"39205888\"] \n  23 -> 42 [size =\"39205888\"]\n  23 -> 43 [size =\"39205888\"]\n  23 -> 48 [size =\"39205888\"]\n  23 -> 50 [size =\"39205888\"]\n  24 [size=\"125009920\", alpha=\"0.16\", expect_size=\"37502976\"] \n  24 -> 39 [size =\"37502976\"]\n  24 -> 42 [size =\"37502976\"]\n  24 -> 44 [size =\"37502976\"]\n  24 -> 50 [size =\"37502976\"]\n  25 [size=\"153746773\", alpha=\"0.06\", expect_size=\"46124032\"] \n  25 -> 38 [size =\"46124032\"]\n  25 -> 42 [size =\"46124032\"]\n  25 -> 43 [size =\"46124032\"]\n  25 -> 44 [size =\"46124032\"]\n  25 -> 47 [size =\"46124032\"]\n  25 -> 48 [size =\"46124032\"]\n  26 [size=\"92986027\", alpha=\"0.12\", expect_size=\"27895808\"] \n  26 -> 43 [size =\"27895808\"]\n  26 -> 47 [size =\"27895808\"]\n  26 -> 48 [size =\"27895808\"]\n  27 [size=\"117415253\", alpha=\"0.06\", expect_size=\"35224576\"] \n  27 -> 44 [size =\"35224576\"]\n  27 -> 45 [size =\"35224576\"]\n  28 [size=\"130723840\", alpha=\"0.19\", expect_size=\"39217152\"] \n  28 -> 43 [size =\"39217152\"]\n  28 -> 44 [size =\"39217152\"]\n  28 -> 45 [size =\"39217152\"]\n  28 -> 48 [size =\"39217152\"]\n  29 [size=\"20906667\", alpha=\"0.13\", expect_size=\"6272000\"] \n  29 -> 44 [size =\"6272000\"]\n  29 -> 45 [size =\"6272000\"]\n  29 -> 45 [size =\"6272000\"]\n  29 -> 46 [size =\"6272000\"]\n  29 -> 48 [size =\"6272000\"]\n  29 -> 50 [size =\"6272000\"]\n  30 [size=\"114445653\", alpha=\"0.18\", expect_size=\"34333696\"] \n  30 -> 44 [size =\"34333696\"]\n  30 -> 45 [size =\"34333696\"]\n  30 -> 48 [size =\"34333696\"]\n  30 -> 49 [size =\"34333696\"]\n  31 [size=\"29463893\", alpha=\"0.10\", expect_size=\"8839168\"] \n  31 -> 39 [size =\"8839168\"]\n  31 -> 42 [size =\"8839168\"]\n  31 -> 43 [size =\"8839168\"]\n  31 -> 44 [size =\"8839168\"]\n  31 -> 45 [size =\"8839168\"]\n  31 -> 47 [size =\"8839168\"]\n  31 -> 48 [size =\"8839168\"]\n  31 -> 50 [size =\"8839168\"]\n  32 [size=\"26876587\", alpha=\"0.07\", expect_size=\"8062976\"] \n  32 -> 42 [size =\"8062976\"]\n  32 -> 43 [size =\"8062976\"]\n  32 -> 43 [size =\"8062976\"]\n  32 -> 44 [size =\"8062976\"]\n  32 -> 45 [size =\"8062976\"]\n  32 -> 50 [size =\"8062976\"]\n  33 [size=\"37280427\", alpha=\"0.08\", expect_size=\"11184128\"] \n  33 -> 40 [size =\"11184128\"]\n  33 -> 45 [size =\"11184128\"]\n  33 -> 48 [size =\"11184128\"]\n  34 [size=\"114370560\", alpha=\"0.03\", expect_size=\"34311168\"] \n  34 -> 48 [size =\"34311168\"]\n  34 -> 50 [size =\"34311168\"]\n  35 [size=\"83800747\", alpha=\"0.13\", expect_size=\"25140224\"] \n  35 -> 44 [size =\"25140224\"]\n  35 -> 45 [size =\"25140224\"]\n  35 -> 48 [size =\"25140224\"]\n  35 -> 50 [size =\"25140224\"]\n  36 [size=\"130614613\", alpha=\"0.09\", expect_size=\"39184384\"] \n  36 -> 41 [size =\"39184384\"]\n  36 -> 45 [size =\"39184384\"]\n  36 -> 47 [size =\"39184384\"]\n  36 -> 50 [size =\"39184384\"]\n  37 [size=\"67717120\", alpha=\"0.13\", expect_size=\"20315136\"] \n  37 -> 47 [size =\"20315136\"]\n  37 -> 50 [size =\"20315136\"]\n  38 [size=\"114875733\", alpha=\"0.04\", expect_size=\"34462720\"] \n  39 [size=\"105304747\", alpha=\"0.08\", expect_size=\"31591424\"] \n  40 [size=\"50647040\", alpha=\"0.07\", expect_size=\"15194112\"] \n  41 [size=\"37761707\", alpha=\"0.01\", expect_size=\"11328512\"] \n  42 [size=\"114148693\", alpha=\"0.15\", expect_size=\"34244608\"] \n  43 [size=\"173015040\", alpha=\"0.02\", expect_size=\"51904512\"] \n  44 [size=\"75072853\", alpha=\"0.04\", expect_size=\"22521856\"] \n  45 [size=\"101707093\", alpha=\"0.03\", expect_size=\"30512128\"] \n  46 [size=\"45226667\", alpha=\"0.11\", expect_size=\"13568000\"] \n  47 [size=\"115210240\", alpha=\"0.12\", expect_size=\"34563072\"] \n  48 [size=\"60798293\", alpha=\"0.08\", expect_size=\"18239488\"] \n  49 [size=\"89381547\", alpha=\"0.04\", expect_size=\"26814464\"] \n  50 [size=\"150667947\", alpha=\"0.12\", expect_size=\"45200384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151278933\", alpha=\"0.18\", expect_size=\"45383680\"] \n  1 -> 4 [size =\"45383680\"]\n  1 -> 5 [size =\"45383680\"]\n  2 [size=\"61832533\", alpha=\"0.06\", expect_size=\"18549760\"] \n  3 [size=\"171567787\", alpha=\"0.13\", expect_size=\"51470336\"] \n  3 -> 4 [size =\"51470336\"]\n  3 -> 5 [size =\"51470336\"]\n  3 -> 6 [size =\"51470336\"]\n  4 [size=\"82281813\", alpha=\"0.09\", expect_size=\"24684544\"] \n  4 -> 8 [size =\"24684544\"]\n  5 [size=\"167277227\", alpha=\"0.14\", expect_size=\"50183168\"] \n  5 -> 9 [size =\"50183168\"]\n  6 [size=\"43960320\", alpha=\"0.15\", expect_size=\"13188096\"] \n  6 -> 7 [size =\"13188096\"]\n  6 -> 8 [size =\"13188096\"]\n  7 [size=\"98744320\", alpha=\"0.04\", expect_size=\"29623296\"] \n  7 -> 11 [size =\"29623296\"]\n  8 [size=\"134301013\", alpha=\"0.17\", expect_size=\"40290304\"] \n  8 -> 10 [size =\"40290304\"]\n  9 [size=\"21439147\", alpha=\"0.02\", expect_size=\"6431744\"] \n  9 -> 10 [size =\"6431744\"]\n  9 -> 11 [size =\"6431744\"]\n  10 [size=\"121398613\", alpha=\"0.04\", expect_size=\"36419584\"] \n  10 -> 12 [size =\"36419584\"]\n  11 [size=\"88896853\", alpha=\"0.13\", expect_size=\"26669056\"] \n  11 -> 13 [size =\"26669056\"]\n  12 [size=\"69621760\", alpha=\"0.00\", expect_size=\"20886528\"] \n  12 -> 14 [size =\"20886528\"]\n  12 -> 15 [size =\"20886528\"]\n  13 [size=\"119647573\", alpha=\"0.17\", expect_size=\"35894272\"] \n  13 -> 14 [size =\"35894272\"]\n  13 -> 15 [size =\"35894272\"]\n  14 [size=\"62877013\", alpha=\"0.10\", expect_size=\"18863104\"] \n  14 -> 16 [size =\"18863104\"]\n  14 -> 18 [size =\"18863104\"]\n  15 [size=\"135823360\", alpha=\"0.12\", expect_size=\"40747008\"] \n  15 -> 17 [size =\"40747008\"]\n  16 [size=\"89924267\", alpha=\"0.12\", expect_size=\"26977280\"] \n  16 -> 20 [size =\"26977280\"]\n  17 [size=\"46902613\", alpha=\"0.15\", expect_size=\"14070784\"] \n  17 -> 19 [size =\"14070784\"]\n  18 [size=\"75451733\", alpha=\"0.14\", expect_size=\"22635520\"] \n  18 -> 20 [size =\"22635520\"]\n  19 [size=\"55173120\", alpha=\"0.17\", expect_size=\"16551936\"] \n  19 -> 21 [size =\"16551936\"]\n  19 -> 22 [size =\"16551936\"]\n  20 [size=\"69949440\", alpha=\"0.14\", expect_size=\"20984832\"] \n  20 -> 21 [size =\"20984832\"]\n  20 -> 22 [size =\"20984832\"]\n  21 [size=\"104557227\", alpha=\"0.08\", expect_size=\"31367168\"] \n  21 -> 23 [size =\"31367168\"]\n  22 [size=\"46015147\", alpha=\"0.07\", expect_size=\"13804544\"] \n  22 -> 23 [size =\"13804544\"]\n  22 -> 24 [size =\"13804544\"]\n  23 [size=\"48909653\", alpha=\"0.07\", expect_size=\"14672896\"] \n  23 -> 25 [size =\"14672896\"]\n  23 -> 26 [size =\"14672896\"]\n  24 [size=\"28931413\", alpha=\"0.14\", expect_size=\"8679424\"] \n  25 [size=\"110844587\", alpha=\"0.01\", expect_size=\"33253376\"] \n  25 -> 28 [size =\"33253376\"]\n  26 [size=\"50380800\", alpha=\"0.11\", expect_size=\"15114240\"] \n  26 -> 27 [size =\"15114240\"]\n  26 -> 28 [size =\"15114240\"]\n  27 [size=\"144575147\", alpha=\"0.11\", expect_size=\"43372544\"] \n  27 -> 29 [size =\"43372544\"]\n  27 -> 30 [size =\"43372544\"]\n  27 -> 31 [size =\"43372544\"]\n  28 [size=\"107113813\", alpha=\"0.06\", expect_size=\"32134144\"] \n  28 -> 29 [size =\"32134144\"]\n  28 -> 30 [size =\"32134144\"]\n  29 [size=\"61160107\", alpha=\"0.02\", expect_size=\"18348032\"] \n  29 -> 34 [size =\"18348032\"]\n  30 [size=\"33665707\", alpha=\"0.11\", expect_size=\"10099712\"] \n  30 -> 33 [size =\"10099712\"]\n  31 [size=\"140499627\", alpha=\"0.09\", expect_size=\"42149888\"] \n  31 -> 32 [size =\"42149888\"]\n  32 [size=\"43612160\", alpha=\"0.14\", expect_size=\"13083648\"] \n  32 -> 35 [size =\"13083648\"]\n  32 -> 36 [size =\"13083648\"]\n  33 [size=\"101928960\", alpha=\"0.11\", expect_size=\"30578688\"] \n  34 [size=\"154972160\", alpha=\"0.15\", expect_size=\"46491648\"] \n  35 [size=\"110267733\", alpha=\"0.13\", expect_size=\"33080320\"] \n  36 [size=\"117609813\", alpha=\"0.01\", expect_size=\"35282944\"] \n  36 -> 37 [size =\"35282944\"]\n  36 -> 38 [size =\"35282944\"]\n  37 [size=\"46206293\", alpha=\"0.12\", expect_size=\"13861888\"] \n  37 -> 40 [size =\"13861888\"]\n  38 [size=\"134608213\", alpha=\"0.11\", expect_size=\"40382464\"] \n  38 -> 39 [size =\"40382464\"]\n  39 [size=\"27784533\", alpha=\"0.14\", expect_size=\"8335360\"] \n  39 -> 41 [size =\"8335360\"]\n  39 -> 43 [size =\"8335360\"]\n  40 [size=\"44270933\", alpha=\"0.04\", expect_size=\"13281280\"] \n  40 -> 41 [size =\"13281280\"]\n  40 -> 42 [size =\"13281280\"]\n  41 [size=\"130713600\", alpha=\"0.06\", expect_size=\"39214080\"] \n  42 [size=\"43953493\", alpha=\"0.11\", expect_size=\"13186048\"] \n  42 -> 45 [size =\"13186048\"]\n  42 -> 46 [size =\"13186048\"]\n  43 [size=\"150712320\", alpha=\"0.20\", expect_size=\"45213696\"] \n  43 -> 44 [size =\"45213696\"]\n  44 [size=\"81302187\", alpha=\"0.10\", expect_size=\"24390656\"] \n  45 [size=\"38417067\", alpha=\"0.12\", expect_size=\"11525120\"] \n  45 -> 47 [size =\"11525120\"]\n  46 [size=\"140404053\", alpha=\"0.19\", expect_size=\"42121216\"] \n  46 -> 47 [size =\"42121216\"]\n  46 -> 48 [size =\"42121216\"]\n  47 [size=\"145134933\", alpha=\"0.01\", expect_size=\"43540480\"] \n  47 -> 49 [size =\"43540480\"]\n  48 [size=\"82042880\", alpha=\"0.15\", expect_size=\"24612864\"] \n  48 -> 49 [size =\"24612864\"]\n  48 -> 50 [size =\"24612864\"]\n  49 [size=\"166389760\", alpha=\"0.15\", expect_size=\"49916928\"] \n  50 [size=\"121303040\", alpha=\"0.16\", expect_size=\"36390912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.710.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121835520\", alpha=\"0.17\", expect_size=\"36550656\"] \n  1 -> 4 [size =\"36550656\"]\n  1 -> 6 [size =\"36550656\"]\n  2 [size=\"126952107\", alpha=\"0.06\", expect_size=\"38085632\"] \n  2 -> 5 [size =\"38085632\"]\n  3 [size=\"116667733\", alpha=\"0.13\", expect_size=\"35000320\"] \n  4 [size=\"57033387\", alpha=\"0.09\", expect_size=\"17110016\"] \n  4 -> 8 [size =\"17110016\"]\n  4 -> 10 [size =\"17110016\"]\n  5 [size=\"120739840\", alpha=\"0.05\", expect_size=\"36221952\"] \n  5 -> 7 [size =\"36221952\"]\n  5 -> 9 [size =\"36221952\"]\n  5 -> 10 [size =\"36221952\"]\n  6 [size=\"85043200\", alpha=\"0.00\", expect_size=\"25512960\"] \n  6 -> 7 [size =\"25512960\"]\n  6 -> 8 [size =\"25512960\"]\n  6 -> 9 [size =\"25512960\"]\n  6 -> 10 [size =\"25512960\"]\n  7 [size=\"169738240\", alpha=\"0.06\", expect_size=\"50921472\"] \n  8 [size=\"114524160\", alpha=\"0.16\", expect_size=\"34357248\"] \n  9 [size=\"68765013\", alpha=\"0.10\", expect_size=\"20629504\"] \n  9 -> 11 [size =\"20629504\"]\n  9 -> 12 [size =\"20629504\"]\n  10 [size=\"38833493\", alpha=\"0.01\", expect_size=\"11650048\"] \n  10 -> 12 [size =\"11650048\"]\n  10 -> 13 [size =\"11650048\"]\n  11 [size=\"161385813\", alpha=\"0.15\", expect_size=\"48415744\"] \n  11 -> 16 [size =\"48415744\"]\n  12 [size=\"137386667\", alpha=\"0.04\", expect_size=\"41216000\"] \n  12 -> 14 [size =\"41216000\"]\n  12 -> 15 [size =\"41216000\"]\n  13 [size=\"29426347\", alpha=\"0.12\", expect_size=\"8827904\"] \n  13 -> 14 [size =\"8827904\"]\n  13 -> 15 [size =\"8827904\"]\n  13 -> 16 [size =\"8827904\"]\n  14 [size=\"131710293\", alpha=\"0.00\", expect_size=\"39513088\"] \n  14 -> 17 [size =\"39513088\"]\n  14 -> 19 [size =\"39513088\"]\n  15 [size=\"44810240\", alpha=\"0.15\", expect_size=\"13443072\"] \n  15 -> 18 [size =\"13443072\"]\n  16 [size=\"81018880\", alpha=\"0.07\", expect_size=\"24305664\"] \n  16 -> 17 [size =\"24305664\"]\n  16 -> 20 [size =\"24305664\"]\n  17 [size=\"84466347\", alpha=\"0.18\", expect_size=\"25339904\"] \n  17 -> 21 [size =\"25339904\"]\n  17 -> 22 [size =\"25339904\"]\n  18 [size=\"130679467\", alpha=\"0.17\", expect_size=\"39203840\"] \n  18 -> 22 [size =\"39203840\"]\n  19 [size=\"98249387\", alpha=\"0.05\", expect_size=\"29474816\"] \n  19 -> 21 [size =\"29474816\"]\n  20 [size=\"172963840\", alpha=\"0.11\", expect_size=\"51889152\"] \n  20 -> 21 [size =\"51889152\"]\n  20 -> 22 [size =\"51889152\"]\n  21 [size=\"24371200\", alpha=\"0.10\", expect_size=\"7311360\"] \n  21 -> 23 [size =\"7311360\"]\n  21 -> 24 [size =\"7311360\"]\n  21 -> 25 [size =\"7311360\"]\n  22 [size=\"139745280\", alpha=\"0.03\", expect_size=\"41923584\"] \n  22 -> 23 [size =\"41923584\"]\n  22 -> 24 [size =\"41923584\"]\n  22 -> 25 [size =\"41923584\"]\n  23 [size=\"173858133\", alpha=\"0.08\", expect_size=\"52157440\"] \n  23 -> 26 [size =\"52157440\"]\n  23 -> 27 [size =\"52157440\"]\n  24 [size=\"109192533\", alpha=\"0.19\", expect_size=\"32757760\"] \n  24 -> 26 [size =\"32757760\"]\n  25 [size=\"112612693\", alpha=\"0.02\", expect_size=\"33783808\"] \n  25 -> 27 [size =\"33783808\"]\n  26 [size=\"76035413\", alpha=\"0.14\", expect_size=\"22810624\"] \n  26 -> 28 [size =\"22810624\"]\n  26 -> 30 [size =\"22810624\"]\n  27 [size=\"132744533\", alpha=\"0.06\", expect_size=\"39823360\"] \n  27 -> 28 [size =\"39823360\"]\n  27 -> 29 [size =\"39823360\"]\n  27 -> 30 [size =\"39823360\"]\n  28 [size=\"117831680\", alpha=\"0.10\", expect_size=\"35349504\"] \n  28 -> 31 [size =\"35349504\"]\n  28 -> 32 [size =\"35349504\"]\n  29 [size=\"93197653\", alpha=\"0.00\", expect_size=\"27959296\"] \n  29 -> 31 [size =\"27959296\"]\n  29 -> 32 [size =\"27959296\"]\n  29 -> 33 [size =\"27959296\"]\n  30 [size=\"135205547\", alpha=\"0.14\", expect_size=\"40561664\"] \n  31 [size=\"64327680\", alpha=\"0.05\", expect_size=\"19298304\"] \n  32 [size=\"142209707\", alpha=\"0.12\", expect_size=\"42662912\"] \n  32 -> 35 [size =\"42662912\"]\n  33 [size=\"163758080\", alpha=\"0.20\", expect_size=\"49127424\"] \n  33 -> 34 [size =\"49127424\"]\n  34 [size=\"70881280\", alpha=\"0.03\", expect_size=\"21264384\"] \n  34 -> 36 [size =\"21264384\"]\n  34 -> 37 [size =\"21264384\"]\n  34 -> 38 [size =\"21264384\"]\n  35 [size=\"60429653\", alpha=\"0.09\", expect_size=\"18128896\"] \n  35 -> 37 [size =\"18128896\"]\n  35 -> 38 [size =\"18128896\"]\n  36 [size=\"78376960\", alpha=\"0.03\", expect_size=\"23513088\"] \n  36 -> 39 [size =\"23513088\"]\n  36 -> 40 [size =\"23513088\"]\n  37 [size=\"35007147\", alpha=\"0.06\", expect_size=\"10502144\"] \n  37 -> 39 [size =\"10502144\"]\n  38 [size=\"82585600\", alpha=\"0.03\", expect_size=\"24775680\"] \n  38 -> 41 [size =\"24775680\"]\n  39 [size=\"160870400\", alpha=\"0.11\", expect_size=\"48261120\"] \n  39 -> 43 [size =\"48261120\"]\n  40 [size=\"163867307\", alpha=\"0.18\", expect_size=\"49160192\"] \n  40 -> 42 [size =\"49160192\"]\n  40 -> 43 [size =\"49160192\"]\n  40 -> 44 [size =\"49160192\"]\n  40 -> 45 [size =\"49160192\"]\n  41 [size=\"112930133\", alpha=\"0.06\", expect_size=\"33879040\"] \n  41 -> 42 [size =\"33879040\"]\n  41 -> 44 [size =\"33879040\"]\n  41 -> 45 [size =\"33879040\"]\n  42 [size=\"151978667\", alpha=\"0.10\", expect_size=\"45593600\"] \n  42 -> 46 [size =\"45593600\"]\n  42 -> 47 [size =\"45593600\"]\n  43 [size=\"86340267\", alpha=\"0.13\", expect_size=\"25902080\"] \n  43 -> 47 [size =\"25902080\"]\n  44 [size=\"85258240\", alpha=\"0.08\", expect_size=\"25577472\"] \n  45 [size=\"105683627\", alpha=\"0.16\", expect_size=\"31705088\"] \n  45 -> 46 [size =\"31705088\"]\n  45 -> 47 [size =\"31705088\"]\n  45 -> 48 [size =\"31705088\"]\n  46 [size=\"17657173\", alpha=\"0.10\", expect_size=\"5297152\"] \n  47 [size=\"42014720\", alpha=\"0.20\", expect_size=\"12604416\"] \n  47 -> 49 [size =\"12604416\"]\n  47 -> 50 [size =\"12604416\"]\n  48 [size=\"88459947\", alpha=\"0.02\", expect_size=\"26537984\"] \n  48 -> 49 [size =\"26537984\"]\n  49 [size=\"112906240\", alpha=\"0.14\", expect_size=\"33871872\"] \n  50 [size=\"38847147\", alpha=\"0.01\", expect_size=\"11654144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.711.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26009600\", alpha=\"0.12\", expect_size=\"13004800\"] \n  1 -> 6 [size =\"13004800\"]\n  2 [size=\"77651968\", alpha=\"0.07\", expect_size=\"38825984\"] \n  2 -> 4 [size =\"38825984\"]\n  2 -> 5 [size =\"38825984\"]\n  3 [size=\"67141632\", alpha=\"0.06\", expect_size=\"33570816\"] \n  3 -> 5 [size =\"33570816\"]\n  3 -> 6 [size =\"33570816\"]\n  4 [size=\"69259264\", alpha=\"0.19\", expect_size=\"34629632\"] \n  4 -> 7 [size =\"34629632\"]\n  4 -> 8 [size =\"34629632\"]\n  4 -> 9 [size =\"34629632\"]\n  5 [size=\"69076992\", alpha=\"0.18\", expect_size=\"34538496\"] \n  5 -> 8 [size =\"34538496\"]\n  5 -> 9 [size =\"34538496\"]\n  6 [size=\"62507008\", alpha=\"0.16\", expect_size=\"31253504\"] \n  6 -> 8 [size =\"31253504\"]\n  7 [size=\"14581760\", alpha=\"0.16\", expect_size=\"7290880\"] \n  7 -> 10 [size =\"7290880\"]\n  7 -> 11 [size =\"7290880\"]\n  8 [size=\"30375936\", alpha=\"0.02\", expect_size=\"15187968\"] \n  8 -> 11 [size =\"15187968\"]\n  8 -> 12 [size =\"15187968\"]\n  9 [size=\"28635136\", alpha=\"0.19\", expect_size=\"14317568\"] \n  9 -> 10 [size =\"14317568\"]\n  10 [size=\"28342272\", alpha=\"0.13\", expect_size=\"14171136\"] \n  10 -> 13 [size =\"14171136\"]\n  11 [size=\"34168832\", alpha=\"0.20\", expect_size=\"17084416\"] \n  11 -> 13 [size =\"17084416\"]\n  11 -> 14 [size =\"17084416\"]\n  12 [size=\"89696256\", alpha=\"0.17\", expect_size=\"44848128\"] \n  13 [size=\"26193920\", alpha=\"0.10\", expect_size=\"13096960\"] \n  13 -> 15 [size =\"13096960\"]\n  14 [size=\"56297472\", alpha=\"0.06\", expect_size=\"28148736\"] \n  14 -> 15 [size =\"28148736\"]\n  14 -> 16 [size =\"28148736\"]\n  14 -> 17 [size =\"28148736\"]\n  15 [size=\"53628928\", alpha=\"0.13\", expect_size=\"26814464\"] \n  15 -> 19 [size =\"26814464\"]\n  16 [size=\"46354432\", alpha=\"0.08\", expect_size=\"23177216\"] \n  16 -> 18 [size =\"23177216\"]\n  17 [size=\"28819456\", alpha=\"0.09\", expect_size=\"14409728\"] \n  17 -> 18 [size =\"14409728\"]\n  18 [size=\"11481088\", alpha=\"0.03\", expect_size=\"5740544\"] \n  18 -> 20 [size =\"5740544\"]\n  18 -> 21 [size =\"5740544\"]\n  19 [size=\"23037952\", alpha=\"0.16\", expect_size=\"11518976\"] \n  19 -> 20 [size =\"11518976\"]\n  20 [size=\"19298304\", alpha=\"0.02\", expect_size=\"9649152\"] \n  20 -> 23 [size =\"9649152\"]\n  21 [size=\"80400384\", alpha=\"0.10\", expect_size=\"40200192\"] \n  21 -> 22 [size =\"40200192\"]\n  21 -> 23 [size =\"40200192\"]\n  22 [size=\"78710784\", alpha=\"0.13\", expect_size=\"39355392\"] \n  22 -> 24 [size =\"39355392\"]\n  23 [size=\"64305152\", alpha=\"0.09\", expect_size=\"32152576\"] \n  23 -> 24 [size =\"32152576\"]\n  23 -> 25 [size =\"32152576\"]\n  24 [size=\"17958912\", alpha=\"0.16\", expect_size=\"8979456\"] \n  24 -> 26 [size =\"8979456\"]\n  24 -> 27 [size =\"8979456\"]\n  24 -> 28 [size =\"8979456\"]\n  25 [size=\"44519424\", alpha=\"0.16\", expect_size=\"22259712\"] \n  25 -> 26 [size =\"22259712\"]\n  25 -> 27 [size =\"22259712\"]\n  25 -> 28 [size =\"22259712\"]\n  26 [size=\"11542528\", alpha=\"0.07\", expect_size=\"5771264\"] \n  26 -> 29 [size =\"5771264\"]\n  26 -> 30 [size =\"5771264\"]\n  27 [size=\"51472384\", alpha=\"0.19\", expect_size=\"25736192\"] \n  27 -> 29 [size =\"25736192\"]\n  27 -> 30 [size =\"25736192\"]\n  28 [size=\"92145664\", alpha=\"0.15\", expect_size=\"46072832\"] \n  28 -> 30 [size =\"46072832\"]\n  29 [size=\"13121536\", alpha=\"0.15\", expect_size=\"6560768\"] \n  30 [size=\"88858624\", alpha=\"0.18\", expect_size=\"44429312\"] \n  30 -> 31 [size =\"44429312\"]\n  30 -> 32 [size =\"44429312\"]\n  30 -> 33 [size =\"44429312\"]\n  31 [size=\"96323584\", alpha=\"0.07\", expect_size=\"48161792\"] \n  31 -> 34 [size =\"48161792\"]\n  31 -> 35 [size =\"48161792\"]\n  31 -> 36 [size =\"48161792\"]\n  32 [size=\"51042304\", alpha=\"0.13\", expect_size=\"25521152\"] \n  32 -> 34 [size =\"25521152\"]\n  32 -> 35 [size =\"25521152\"]\n  33 [size=\"20180992\", alpha=\"0.01\", expect_size=\"10090496\"] \n  33 -> 34 [size =\"10090496\"]\n  33 -> 35 [size =\"10090496\"]\n  33 -> 36 [size =\"10090496\"]\n  34 [size=\"60397568\", alpha=\"0.20\", expect_size=\"30198784\"] \n  34 -> 38 [size =\"30198784\"]\n  35 [size=\"41719808\", alpha=\"0.08\", expect_size=\"20859904\"] \n  35 -> 37 [size =\"20859904\"]\n  36 [size=\"22740992\", alpha=\"0.03\", expect_size=\"11370496\"] \n  36 -> 38 [size =\"11370496\"]\n  36 -> 39 [size =\"11370496\"]\n  37 [size=\"55484416\", alpha=\"0.02\", expect_size=\"27742208\"] \n  37 -> 40 [size =\"27742208\"]\n  37 -> 41 [size =\"27742208\"]\n  38 [size=\"49674240\", alpha=\"0.01\", expect_size=\"24837120\"] \n  38 -> 40 [size =\"24837120\"]\n  38 -> 41 [size =\"24837120\"]\n  38 -> 42 [size =\"24837120\"]\n  39 [size=\"25204736\", alpha=\"0.03\", expect_size=\"12602368\"] \n  39 -> 40 [size =\"12602368\"]\n  40 [size=\"94593024\", alpha=\"0.07\", expect_size=\"47296512\"] \n  41 [size=\"86958080\", alpha=\"0.06\", expect_size=\"43479040\"] \n  41 -> 45 [size =\"43479040\"]\n  42 [size=\"25978880\", alpha=\"0.19\", expect_size=\"12989440\"] \n  42 -> 43 [size =\"12989440\"]\n  42 -> 44 [size =\"12989440\"]\n  43 [size=\"85241856\", alpha=\"0.04\", expect_size=\"42620928\"] \n  43 -> 47 [size =\"42620928\"]\n  44 [size=\"91711488\", alpha=\"0.10\", expect_size=\"45855744\"] \n  44 -> 48 [size =\"45855744\"]\n  45 [size=\"91197440\", alpha=\"0.03\", expect_size=\"45598720\"] \n  45 -> 46 [size =\"45598720\"]\n  45 -> 47 [size =\"45598720\"]\n  45 -> 48 [size =\"45598720\"]\n  46 [size=\"32477184\", alpha=\"0.17\", expect_size=\"16238592\"] \n  46 -> 49 [size =\"16238592\"]\n  46 -> 50 [size =\"16238592\"]\n  47 [size=\"45791232\", alpha=\"0.19\", expect_size=\"22895616\"] \n  47 -> 50 [size =\"22895616\"]\n  48 [size=\"55099392\", alpha=\"0.19\", expect_size=\"27549696\"] \n  48 -> 49 [size =\"27549696\"]\n  49 [size=\"61399040\", alpha=\"0.19\", expect_size=\"30699520\"] \n  50 [size=\"77244416\", alpha=\"0.16\", expect_size=\"38622208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.712.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84107264\", alpha=\"0.14\", expect_size=\"42053632\"] \n  1 -> 11 [size =\"42053632\"]\n  1 -> 21 [size =\"42053632\"]\n  1 -> 23 [size =\"42053632\"]\n  1 -> 24 [size =\"42053632\"]\n  1 -> 31 [size =\"42053632\"]\n  2 [size=\"89337856\", alpha=\"0.07\", expect_size=\"44668928\"] \n  2 -> 12 [size =\"44668928\"]\n  2 -> 14 [size =\"44668928\"]\n  2 -> 15 [size =\"44668928\"]\n  2 -> 17 [size =\"44668928\"]\n  2 -> 20 [size =\"44668928\"]\n  2 -> 26 [size =\"44668928\"]\n  3 [size=\"81698816\", alpha=\"0.16\", expect_size=\"40849408\"] \n  3 -> 14 [size =\"40849408\"]\n  3 -> 16 [size =\"40849408\"]\n  3 -> 20 [size =\"40849408\"]\n  3 -> 26 [size =\"40849408\"]\n  3 -> 29 [size =\"40849408\"]\n  4 [size=\"12922880\", alpha=\"0.09\", expect_size=\"6461440\"] \n  4 -> 11 [size =\"6461440\"]\n  4 -> 15 [size =\"6461440\"]\n  4 -> 16 [size =\"6461440\"]\n  4 -> 17 [size =\"6461440\"]\n  4 -> 18 [size =\"6461440\"]\n  4 -> 19 [size =\"6461440\"]\n  4 -> 25 [size =\"6461440\"]\n  4 -> 31 [size =\"6461440\"]\n  5 [size=\"59203584\", alpha=\"0.19\", expect_size=\"29601792\"] \n  5 -> 14 [size =\"29601792\"]\n  5 -> 17 [size =\"29601792\"]\n  5 -> 23 [size =\"29601792\"]\n  5 -> 24 [size =\"29601792\"]\n  6 [size=\"58363904\", alpha=\"0.04\", expect_size=\"29181952\"] \n  6 -> 11 [size =\"29181952\"]\n  6 -> 17 [size =\"29181952\"]\n  6 -> 18 [size =\"29181952\"]\n  6 -> 19 [size =\"29181952\"]\n  6 -> 24 [size =\"29181952\"]\n  6 -> 26 [size =\"29181952\"]\n  6 -> 28 [size =\"29181952\"]\n  6 -> 29 [size =\"29181952\"]\n  6 -> 30 [size =\"29181952\"]\n  7 [size=\"23666688\", alpha=\"0.16\", expect_size=\"11833344\"] \n  7 -> 13 [size =\"11833344\"]\n  7 -> 14 [size =\"11833344\"]\n  7 -> 19 [size =\"11833344\"]\n  7 -> 21 [size =\"11833344\"]\n  7 -> 27 [size =\"11833344\"]\n  7 -> 29 [size =\"11833344\"]\n  7 -> 30 [size =\"11833344\"]\n  7 -> 31 [size =\"11833344\"]\n  8 [size=\"18507776\", alpha=\"0.05\", expect_size=\"9253888\"] \n  8 -> 11 [size =\"9253888\"]\n  8 -> 12 [size =\"9253888\"]\n  8 -> 14 [size =\"9253888\"]\n  8 -> 19 [size =\"9253888\"]\n  8 -> 24 [size =\"9253888\"]\n  8 -> 26 [size =\"9253888\"]\n  8 -> 27 [size =\"9253888\"]\n  8 -> 28 [size =\"9253888\"]\n  8 -> 29 [size =\"9253888\"]\n  8 -> 31 [size =\"9253888\"]\n  9 [size=\"42399744\", alpha=\"0.15\", expect_size=\"21199872\"] \n  9 -> 11 [size =\"21199872\"]\n  9 -> 12 [size =\"21199872\"]\n  9 -> 18 [size =\"21199872\"]\n  9 -> 21 [size =\"21199872\"]\n  9 -> 23 [size =\"21199872\"]\n  9 -> 24 [size =\"21199872\"]\n  9 -> 28 [size =\"21199872\"]\n  9 -> 28 [size =\"21199872\"]\n  9 -> 30 [size =\"21199872\"]\n  9 -> 31 [size =\"21199872\"]\n  10 [size=\"63141888\", alpha=\"0.06\", expect_size=\"31570944\"] \n  10 -> 22 [size =\"31570944\"]\n  10 -> 26 [size =\"31570944\"]\n  10 -> 29 [size =\"31570944\"]\n  11 [size=\"70346752\", alpha=\"0.13\", expect_size=\"35173376\"] \n  11 -> 33 [size =\"35173376\"]\n  12 [size=\"44017664\", alpha=\"0.15\", expect_size=\"22008832\"] \n  12 -> 33 [size =\"22008832\"]\n  12 -> 34 [size =\"22008832\"]\n  12 -> 39 [size =\"22008832\"]\n  13 [size=\"76546048\", alpha=\"0.18\", expect_size=\"38273024\"] \n  13 -> 33 [size =\"38273024\"]\n  13 -> 35 [size =\"38273024\"]\n  13 -> 36 [size =\"38273024\"]\n  13 -> 38 [size =\"38273024\"]\n  14 [size=\"57071616\", alpha=\"0.05\", expect_size=\"28535808\"] \n  14 -> 33 [size =\"28535808\"]\n  14 -> 34 [size =\"28535808\"]\n  14 -> 38 [size =\"28535808\"]\n  14 -> 40 [size =\"28535808\"]\n  14 -> 45 [size =\"28535808\"]\n  14 -> 46 [size =\"28535808\"]\n  15 [size=\"97411072\", alpha=\"0.09\", expect_size=\"48705536\"] \n  15 -> 33 [size =\"48705536\"]\n  15 -> 34 [size =\"48705536\"]\n  15 -> 38 [size =\"48705536\"]\n  15 -> 46 [size =\"48705536\"]\n  16 [size=\"93802496\", alpha=\"0.09\", expect_size=\"46901248\"] \n  16 -> 34 [size =\"46901248\"]\n  16 -> 37 [size =\"46901248\"]\n  16 -> 40 [size =\"46901248\"]\n  17 [size=\"19550208\", alpha=\"0.12\", expect_size=\"9775104\"] \n  17 -> 43 [size =\"9775104\"]\n  18 [size=\"95614976\", alpha=\"0.14\", expect_size=\"47807488\"] \n  18 -> 35 [size =\"47807488\"]\n  18 -> 36 [size =\"47807488\"]\n  18 -> 37 [size =\"47807488\"]\n  18 -> 40 [size =\"47807488\"]\n  18 -> 42 [size =\"47807488\"]\n  19 [size=\"23312384\", alpha=\"0.13\", expect_size=\"11656192\"] \n  19 -> 33 [size =\"11656192\"]\n  19 -> 37 [size =\"11656192\"]\n  19 -> 38 [size =\"11656192\"]\n  19 -> 39 [size =\"11656192\"]\n  19 -> 40 [size =\"11656192\"]\n  19 -> 41 [size =\"11656192\"]\n  19 -> 42 [size =\"11656192\"]\n  20 [size=\"92454912\", alpha=\"0.10\", expect_size=\"46227456\"] \n  20 -> 32 [size =\"46227456\"]\n  20 -> 35 [size =\"46227456\"]\n  20 -> 36 [size =\"46227456\"]\n  20 -> 39 [size =\"46227456\"]\n  20 -> 41 [size =\"46227456\"]\n  20 -> 44 [size =\"46227456\"]\n  21 [size=\"25948160\", alpha=\"0.03\", expect_size=\"12974080\"] \n  21 -> 35 [size =\"12974080\"]\n  21 -> 39 [size =\"12974080\"]\n  22 [size=\"85940224\", alpha=\"0.13\", expect_size=\"42970112\"] \n  22 -> 32 [size =\"42970112\"]\n  22 -> 36 [size =\"42970112\"]\n  22 -> 39 [size =\"42970112\"]\n  22 -> 42 [size =\"42970112\"]\n  23 [size=\"63105024\", alpha=\"0.18\", expect_size=\"31552512\"] \n  23 -> 32 [size =\"31552512\"]\n  23 -> 33 [size =\"31552512\"]\n  23 -> 39 [size =\"31552512\"]\n  23 -> 40 [size =\"31552512\"]\n  23 -> 42 [size =\"31552512\"]\n  23 -> 45 [size =\"31552512\"]\n  24 [size=\"53602304\", alpha=\"0.03\", expect_size=\"26801152\"] \n  24 -> 35 [size =\"26801152\"]\n  24 -> 38 [size =\"26801152\"]\n  24 -> 39 [size =\"26801152\"]\n  24 -> 42 [size =\"26801152\"]\n  25 [size=\"75708416\", alpha=\"0.18\", expect_size=\"37854208\"] \n  25 -> 34 [size =\"37854208\"]\n  25 -> 35 [size =\"37854208\"]\n  25 -> 38 [size =\"37854208\"]\n  25 -> 39 [size =\"37854208\"]\n  25 -> 42 [size =\"37854208\"]\n  25 -> 45 [size =\"37854208\"]\n  26 [size=\"25387008\", alpha=\"0.04\", expect_size=\"12693504\"] \n  26 -> 32 [size =\"12693504\"]\n  27 [size=\"69425152\", alpha=\"0.13\", expect_size=\"34712576\"] \n  27 -> 32 [size =\"34712576\"]\n  27 -> 39 [size =\"34712576\"]\n  28 [size=\"31584256\", alpha=\"0.03\", expect_size=\"15792128\"] \n  28 -> 32 [size =\"15792128\"]\n  28 -> 40 [size =\"15792128\"]\n  28 -> 41 [size =\"15792128\"]\n  28 -> 42 [size =\"15792128\"]\n  28 -> 45 [size =\"15792128\"]\n  29 [size=\"98611200\", alpha=\"0.20\", expect_size=\"49305600\"] \n  29 -> 32 [size =\"49305600\"]\n  29 -> 33 [size =\"49305600\"]\n  29 -> 40 [size =\"49305600\"]\n  29 -> 41 [size =\"49305600\"]\n  30 [size=\"65273856\", alpha=\"0.08\", expect_size=\"32636928\"] \n  30 -> 34 [size =\"32636928\"]\n  30 -> 35 [size =\"32636928\"]\n  30 -> 39 [size =\"32636928\"]\n  30 -> 42 [size =\"32636928\"]\n  31 [size=\"19341312\", alpha=\"0.09\", expect_size=\"9670656\"] \n  31 -> 39 [size =\"9670656\"]\n  31 -> 40 [size =\"9670656\"]\n  31 -> 41 [size =\"9670656\"]\n  31 -> 42 [size =\"9670656\"]\n  32 [size=\"34435072\", alpha=\"0.17\", expect_size=\"17217536\"] \n  32 -> 49 [size =\"17217536\"]\n  33 [size=\"95039488\", alpha=\"0.19\", expect_size=\"47519744\"] \n  34 [size=\"83621888\", alpha=\"0.11\", expect_size=\"41810944\"] \n  34 -> 48 [size =\"41810944\"]\n  34 -> 49 [size =\"41810944\"]\n  35 [size=\"96993280\", alpha=\"0.01\", expect_size=\"48496640\"] \n  35 -> 47 [size =\"48496640\"]\n  36 [size=\"89497600\", alpha=\"0.09\", expect_size=\"44748800\"] \n  36 -> 47 [size =\"44748800\"]\n  37 [size=\"14645248\", alpha=\"0.18\", expect_size=\"7322624\"] \n  37 -> 47 [size =\"7322624\"]\n  38 [size=\"74360832\", alpha=\"0.06\", expect_size=\"37180416\"] \n  38 -> 47 [size =\"37180416\"]\n  38 -> 48 [size =\"37180416\"]\n  39 [size=\"87922688\", alpha=\"0.17\", expect_size=\"43961344\"] \n  39 -> 48 [size =\"43961344\"]\n  40 [size=\"87246848\", alpha=\"0.05\", expect_size=\"43623424\"] \n  41 [size=\"30617600\", alpha=\"0.16\", expect_size=\"15308800\"] \n  42 [size=\"72269824\", alpha=\"0.03\", expect_size=\"36134912\"] \n  43 [size=\"56989696\", alpha=\"0.02\", expect_size=\"28494848\"] \n  43 -> 47 [size =\"28494848\"]\n  44 [size=\"50841600\", alpha=\"0.09\", expect_size=\"25420800\"] \n  44 -> 47 [size =\"25420800\"]\n  45 [size=\"100411392\", alpha=\"0.10\", expect_size=\"50205696\"] \n  45 -> 47 [size =\"50205696\"]\n  46 [size=\"103882752\", alpha=\"0.15\", expect_size=\"51941376\"] \n  46 -> 48 [size =\"51941376\"]\n  46 -> 50 [size =\"51941376\"]\n  47 [size=\"50198528\", alpha=\"0.12\", expect_size=\"25099264\"] \n  48 [size=\"42799104\", alpha=\"0.13\", expect_size=\"21399552\"] \n  49 [size=\"72437760\", alpha=\"0.13\", expect_size=\"36218880\"] \n  50 [size=\"57575424\", alpha=\"0.05\", expect_size=\"28787712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.713.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73752576\", alpha=\"0.13\", expect_size=\"36876288\"] \n  1 -> 42 [size =\"36876288\"]\n  1 -> 43 [size =\"36876288\"]\n  1 -> 44 [size =\"36876288\"]\n  1 -> 47 [size =\"36876288\"]\n  2 [size=\"37369856\", alpha=\"0.09\", expect_size=\"18684928\"] \n  2 -> 42 [size =\"18684928\"]\n  2 -> 43 [size =\"18684928\"]\n  2 -> 44 [size =\"18684928\"]\n  2 -> 48 [size =\"18684928\"]\n  3 [size=\"79984640\", alpha=\"0.15\", expect_size=\"39992320\"] \n  3 -> 43 [size =\"39992320\"]\n  3 -> 43 [size =\"39992320\"]\n  3 -> 44 [size =\"39992320\"]\n  3 -> 46 [size =\"39992320\"]\n  3 -> 49 [size =\"39992320\"]\n  4 [size=\"54702080\", alpha=\"0.13\", expect_size=\"27351040\"] \n  4 -> 42 [size =\"27351040\"]\n  4 -> 43 [size =\"27351040\"]\n  4 -> 44 [size =\"27351040\"]\n  4 -> 48 [size =\"27351040\"]\n  5 [size=\"40865792\", alpha=\"0.08\", expect_size=\"20432896\"] \n  5 -> 42 [size =\"20432896\"]\n  5 -> 43 [size =\"20432896\"]\n  5 -> 47 [size =\"20432896\"]\n  6 [size=\"35504128\", alpha=\"0.07\", expect_size=\"17752064\"] \n  6 -> 42 [size =\"17752064\"]\n  6 -> 43 [size =\"17752064\"]\n  6 -> 44 [size =\"17752064\"]\n  6 -> 47 [size =\"17752064\"]\n  6 -> 49 [size =\"17752064\"]\n  7 [size=\"24537088\", alpha=\"0.01\", expect_size=\"12268544\"] \n  7 -> 42 [size =\"12268544\"]\n  7 -> 43 [size =\"12268544\"]\n  7 -> 46 [size =\"12268544\"]\n  7 -> 47 [size =\"12268544\"]\n  7 -> 49 [size =\"12268544\"]\n  8 [size=\"46266368\", alpha=\"0.11\", expect_size=\"23133184\"] \n  8 -> 43 [size =\"23133184\"]\n  8 -> 45 [size =\"23133184\"]\n  8 -> 46 [size =\"23133184\"]\n  9 [size=\"61011968\", alpha=\"0.11\", expect_size=\"30505984\"] \n  9 -> 42 [size =\"30505984\"]\n  9 -> 45 [size =\"30505984\"]\n  9 -> 46 [size =\"30505984\"]\n  10 [size=\"16992256\", alpha=\"0.09\", expect_size=\"8496128\"] \n  10 -> 42 [size =\"8496128\"]\n  10 -> 43 [size =\"8496128\"]\n  10 -> 45 [size =\"8496128\"]\n  10 -> 46 [size =\"8496128\"]\n  10 -> 49 [size =\"8496128\"]\n  11 [size=\"41166848\", alpha=\"0.14\", expect_size=\"20583424\"] \n  11 -> 43 [size =\"20583424\"]\n  11 -> 46 [size =\"20583424\"]\n  11 -> 48 [size =\"20583424\"]\n  12 [size=\"102332416\", alpha=\"0.13\", expect_size=\"51166208\"] \n  12 -> 42 [size =\"51166208\"]\n  12 -> 45 [size =\"51166208\"]\n  12 -> 46 [size =\"51166208\"]\n  13 [size=\"48115712\", alpha=\"0.03\", expect_size=\"24057856\"] \n  13 -> 43 [size =\"24057856\"]\n  13 -> 46 [size =\"24057856\"]\n  13 -> 46 [size =\"24057856\"]\n  14 [size=\"26730496\", alpha=\"0.05\", expect_size=\"13365248\"] \n  14 -> 43 [size =\"13365248\"]\n  14 -> 46 [size =\"13365248\"]\n  14 -> 48 [size =\"13365248\"]\n  15 [size=\"86114304\", alpha=\"0.02\", expect_size=\"43057152\"] \n  15 -> 42 [size =\"43057152\"]\n  15 -> 43 [size =\"43057152\"]\n  15 -> 45 [size =\"43057152\"]\n  15 -> 46 [size =\"43057152\"]\n  16 [size=\"27553792\", alpha=\"0.19\", expect_size=\"13776896\"] \n  16 -> 43 [size =\"13776896\"]\n  16 -> 43 [size =\"13776896\"]\n  16 -> 45 [size =\"13776896\"]\n  16 -> 46 [size =\"13776896\"]\n  16 -> 47 [size =\"13776896\"]\n  17 [size=\"58814464\", alpha=\"0.16\", expect_size=\"29407232\"] \n  17 -> 42 [size =\"29407232\"]\n  17 -> 43 [size =\"29407232\"]\n  17 -> 44 [size =\"29407232\"]\n  17 -> 46 [size =\"29407232\"]\n  17 -> 48 [size =\"29407232\"]\n  18 [size=\"63150080\", alpha=\"0.01\", expect_size=\"31575040\"] \n  18 -> 46 [size =\"31575040\"]\n  18 -> 47 [size =\"31575040\"]\n  18 -> 48 [size =\"31575040\"]\n  19 [size=\"20193280\", alpha=\"0.04\", expect_size=\"10096640\"] \n  19 -> 43 [size =\"10096640\"]\n  19 -> 46 [size =\"10096640\"]\n  19 -> 49 [size =\"10096640\"]\n  20 [size=\"69763072\", alpha=\"0.03\", expect_size=\"34881536\"] \n  20 -> 42 [size =\"34881536\"]\n  20 -> 43 [size =\"34881536\"]\n  20 -> 46 [size =\"34881536\"]\n  21 [size=\"19077120\", alpha=\"0.16\", expect_size=\"9538560\"] \n  21 -> 42 [size =\"9538560\"]\n  21 -> 43 [size =\"9538560\"]\n  21 -> 44 [size =\"9538560\"]\n  21 -> 46 [size =\"9538560\"]\n  22 [size=\"83345408\", alpha=\"0.15\", expect_size=\"41672704\"] \n  22 -> 42 [size =\"41672704\"]\n  22 -> 43 [size =\"41672704\"]\n  22 -> 44 [size =\"41672704\"]\n  22 -> 45 [size =\"41672704\"]\n  22 -> 46 [size =\"41672704\"]\n  23 [size=\"48064512\", alpha=\"0.08\", expect_size=\"24032256\"] \n  23 -> 42 [size =\"24032256\"]\n  23 -> 43 [size =\"24032256\"]\n  23 -> 44 [size =\"24032256\"]\n  23 -> 45 [size =\"24032256\"]\n  23 -> 46 [size =\"24032256\"]\n  24 [size=\"61552640\", alpha=\"0.11\", expect_size=\"30776320\"] \n  24 -> 42 [size =\"30776320\"]\n  24 -> 44 [size =\"30776320\"]\n  24 -> 46 [size =\"30776320\"]\n  24 -> 49 [size =\"30776320\"]\n  25 [size=\"84463616\", alpha=\"0.00\", expect_size=\"42231808\"] \n  25 -> 42 [size =\"42231808\"]\n  25 -> 43 [size =\"42231808\"]\n  25 -> 46 [size =\"42231808\"]\n  26 [size=\"93339648\", alpha=\"0.15\", expect_size=\"46669824\"] \n  26 -> 42 [size =\"46669824\"]\n  26 -> 43 [size =\"46669824\"]\n  26 -> 45 [size =\"46669824\"]\n  26 -> 46 [size =\"46669824\"]\n  26 -> 47 [size =\"46669824\"]\n  26 -> 49 [size =\"46669824\"]\n  27 [size=\"88444928\", alpha=\"0.12\", expect_size=\"44222464\"] \n  27 -> 43 [size =\"44222464\"]\n  27 -> 44 [size =\"44222464\"]\n  27 -> 45 [size =\"44222464\"]\n  27 -> 46 [size =\"44222464\"]\n  28 [size=\"67414016\", alpha=\"0.17\", expect_size=\"33707008\"] \n  28 -> 44 [size =\"33707008\"]\n  28 -> 45 [size =\"33707008\"]\n  28 -> 46 [size =\"33707008\"]\n  28 -> 46 [size =\"33707008\"]\n  29 [size=\"72271872\", alpha=\"0.13\", expect_size=\"36135936\"] \n  29 -> 42 [size =\"36135936\"]\n  29 -> 45 [size =\"36135936\"]\n  29 -> 46 [size =\"36135936\"]\n  30 [size=\"89960448\", alpha=\"0.10\", expect_size=\"44980224\"] \n  30 -> 42 [size =\"44980224\"]\n  30 -> 44 [size =\"44980224\"]\n  30 -> 45 [size =\"44980224\"]\n  30 -> 46 [size =\"44980224\"]\n  30 -> 47 [size =\"44980224\"]\n  31 [size=\"11206656\", alpha=\"0.14\", expect_size=\"5603328\"] \n  31 -> 42 [size =\"5603328\"]\n  31 -> 44 [size =\"5603328\"]\n  31 -> 45 [size =\"5603328\"]\n  31 -> 46 [size =\"5603328\"]\n  32 [size=\"88023040\", alpha=\"0.17\", expect_size=\"44011520\"] \n  32 -> 42 [size =\"44011520\"]\n  32 -> 43 [size =\"44011520\"]\n  32 -> 44 [size =\"44011520\"]\n  32 -> 45 [size =\"44011520\"]\n  32 -> 46 [size =\"44011520\"]\n  32 -> 47 [size =\"44011520\"]\n  33 [size=\"64180224\", alpha=\"0.08\", expect_size=\"32090112\"] \n  33 -> 42 [size =\"32090112\"]\n  33 -> 43 [size =\"32090112\"]\n  33 -> 44 [size =\"32090112\"]\n  33 -> 45 [size =\"32090112\"]\n  33 -> 46 [size =\"32090112\"]\n  33 -> 50 [size =\"32090112\"]\n  34 [size=\"103546880\", alpha=\"0.03\", expect_size=\"51773440\"] \n  34 -> 42 [size =\"51773440\"]\n  34 -> 43 [size =\"51773440\"]\n  34 -> 44 [size =\"51773440\"]\n  34 -> 45 [size =\"51773440\"]\n  34 -> 48 [size =\"51773440\"]\n  35 [size=\"61599744\", alpha=\"0.13\", expect_size=\"30799872\"] \n  35 -> 45 [size =\"30799872\"]\n  36 [size=\"63088640\", alpha=\"0.07\", expect_size=\"31544320\"] \n  36 -> 45 [size =\"31544320\"]\n  36 -> 47 [size =\"31544320\"]\n  36 -> 48 [size =\"31544320\"]\n  36 -> 49 [size =\"31544320\"]\n  37 [size=\"38666240\", alpha=\"0.12\", expect_size=\"19333120\"] \n  37 -> 42 [size =\"19333120\"]\n  37 -> 43 [size =\"19333120\"]\n  38 [size=\"96753664\", alpha=\"0.08\", expect_size=\"48376832\"] \n  38 -> 42 [size =\"48376832\"]\n  38 -> 43 [size =\"48376832\"]\n  38 -> 46 [size =\"48376832\"]\n  38 -> 47 [size =\"48376832\"]\n  39 [size=\"84389888\", alpha=\"0.05\", expect_size=\"42194944\"] \n  39 -> 42 [size =\"42194944\"]\n  39 -> 44 [size =\"42194944\"]\n  39 -> 46 [size =\"42194944\"]\n  39 -> 47 [size =\"42194944\"]\n  40 [size=\"52103168\", alpha=\"0.15\", expect_size=\"26051584\"] \n  40 -> 42 [size =\"26051584\"]\n  40 -> 45 [size =\"26051584\"]\n  41 [size=\"100771840\", alpha=\"0.07\", expect_size=\"50385920\"] \n  41 -> 42 [size =\"50385920\"]\n  41 -> 46 [size =\"50385920\"]\n  41 -> 47 [size =\"50385920\"]\n  42 [size=\"72333312\", alpha=\"0.15\", expect_size=\"36166656\"] \n  43 [size=\"58636288\", alpha=\"0.10\", expect_size=\"29318144\"] \n  44 [size=\"97312768\", alpha=\"0.17\", expect_size=\"48656384\"] \n  45 [size=\"15863808\", alpha=\"0.19\", expect_size=\"7931904\"] \n  46 [size=\"78663680\", alpha=\"0.18\", expect_size=\"39331840\"] \n  47 [size=\"19664896\", alpha=\"0.14\", expect_size=\"9832448\"] \n  48 [size=\"75941888\", alpha=\"0.02\", expect_size=\"37970944\"] \n  49 [size=\"17041408\", alpha=\"0.03\", expect_size=\"8520704\"] \n  50 [size=\"41416704\", alpha=\"0.01\", expect_size=\"20708352\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.714.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112844800\", alpha=\"0.06\", expect_size=\"45137920\"] \n  1 -> 7 [size =\"45137920\"]\n  1 -> 8 [size =\"45137920\"]\n  1 -> 9 [size =\"45137920\"]\n  1 -> 10 [size =\"45137920\"]\n  1 -> 11 [size =\"45137920\"]\n  1 -> 12 [size =\"45137920\"]\n  2 [size=\"47357440\", alpha=\"0.15\", expect_size=\"18942976\"] \n  2 -> 7 [size =\"18942976\"]\n  2 -> 8 [size =\"18942976\"]\n  2 -> 9 [size =\"18942976\"]\n  2 -> 10 [size =\"18942976\"]\n  3 [size=\"107847680\", alpha=\"0.05\", expect_size=\"43139072\"] \n  3 -> 7 [size =\"43139072\"]\n  3 -> 8 [size =\"43139072\"]\n  3 -> 9 [size =\"43139072\"]\n  3 -> 12 [size =\"43139072\"]\n  4 [size=\"106496000\", alpha=\"0.03\", expect_size=\"42598400\"] \n  4 -> 9 [size =\"42598400\"]\n  4 -> 10 [size =\"42598400\"]\n  4 -> 11 [size =\"42598400\"]\n  4 -> 12 [size =\"42598400\"]\n  5 [size=\"106498560\", alpha=\"0.09\", expect_size=\"42599424\"] \n  5 -> 7 [size =\"42599424\"]\n  5 -> 9 [size =\"42599424\"]\n  5 -> 10 [size =\"42599424\"]\n  5 -> 11 [size =\"42599424\"]\n  5 -> 12 [size =\"42599424\"]\n  6 [size=\"86187520\", alpha=\"0.20\", expect_size=\"34475008\"] \n  6 -> 7 [size =\"34475008\"]\n  6 -> 8 [size =\"34475008\"]\n  6 -> 9 [size =\"34475008\"]\n  6 -> 10 [size =\"34475008\"]\n  6 -> 11 [size =\"34475008\"]\n  6 -> 12 [size =\"34475008\"]\n  7 [size=\"125542400\", alpha=\"0.04\", expect_size=\"50216960\"] \n  7 -> 13 [size =\"50216960\"]\n  7 -> 14 [size =\"50216960\"]\n  8 [size=\"36096000\", alpha=\"0.07\", expect_size=\"14438400\"] \n  8 -> 13 [size =\"14438400\"]\n  8 -> 14 [size =\"14438400\"]\n  8 -> 15 [size =\"14438400\"]\n  8 -> 16 [size =\"14438400\"]\n  8 -> 18 [size =\"14438400\"]\n  9 [size=\"45808640\", alpha=\"0.04\", expect_size=\"18323456\"] \n  9 -> 13 [size =\"18323456\"]\n  9 -> 15 [size =\"18323456\"]\n  9 -> 18 [size =\"18323456\"]\n  10 [size=\"47705600\", alpha=\"0.18\", expect_size=\"19082240\"] \n  10 -> 13 [size =\"19082240\"]\n  10 -> 14 [size =\"19082240\"]\n  10 -> 16 [size =\"19082240\"]\n  10 -> 17 [size =\"19082240\"]\n  10 -> 18 [size =\"19082240\"]\n  11 [size=\"108490240\", alpha=\"0.11\", expect_size=\"43396096\"] \n  11 -> 13 [size =\"43396096\"]\n  11 -> 18 [size =\"43396096\"]\n  12 [size=\"24949760\", alpha=\"0.09\", expect_size=\"9979904\"] \n  12 -> 13 [size =\"9979904\"]\n  12 -> 18 [size =\"9979904\"]\n  13 [size=\"111290880\", alpha=\"0.14\", expect_size=\"44516352\"] \n  13 -> 19 [size =\"44516352\"]\n  13 -> 20 [size =\"44516352\"]\n  13 -> 22 [size =\"44516352\"]\n  13 -> 23 [size =\"44516352\"]\n  13 -> 24 [size =\"44516352\"]\n  13 -> 25 [size =\"44516352\"]\n  14 [size=\"21788160\", alpha=\"0.09\", expect_size=\"8715264\"] \n  14 -> 19 [size =\"8715264\"]\n  14 -> 20 [size =\"8715264\"]\n  14 -> 24 [size =\"8715264\"]\n  15 [size=\"39818240\", alpha=\"0.18\", expect_size=\"15927296\"] \n  15 -> 19 [size =\"15927296\"]\n  15 -> 20 [size =\"15927296\"]\n  15 -> 22 [size =\"15927296\"]\n  15 -> 25 [size =\"15927296\"]\n  16 [size=\"92728320\", alpha=\"0.02\", expect_size=\"37091328\"] \n  16 -> 19 [size =\"37091328\"]\n  16 -> 20 [size =\"37091328\"]\n  16 -> 22 [size =\"37091328\"]\n  16 -> 23 [size =\"37091328\"]\n  16 -> 24 [size =\"37091328\"]\n  16 -> 25 [size =\"37091328\"]\n  17 [size=\"92628480\", alpha=\"0.02\", expect_size=\"37051392\"] \n  17 -> 19 [size =\"37051392\"]\n  17 -> 21 [size =\"37051392\"]\n  17 -> 22 [size =\"37051392\"]\n  17 -> 23 [size =\"37051392\"]\n  17 -> 24 [size =\"37051392\"]\n  18 [size=\"116743680\", alpha=\"0.16\", expect_size=\"46697472\"] \n  18 -> 19 [size =\"46697472\"]\n  18 -> 20 [size =\"46697472\"]\n  18 -> 21 [size =\"46697472\"]\n  18 -> 22 [size =\"46697472\"]\n  18 -> 23 [size =\"46697472\"]\n  18 -> 25 [size =\"46697472\"]\n  19 [size=\"40857600\", alpha=\"0.16\", expect_size=\"16343040\"] \n  19 -> 26 [size =\"16343040\"]\n  19 -> 27 [size =\"16343040\"]\n  19 -> 30 [size =\"16343040\"]\n  19 -> 31 [size =\"16343040\"]\n  20 [size=\"65909760\", alpha=\"0.20\", expect_size=\"26363904\"] \n  20 -> 26 [size =\"26363904\"]\n  20 -> 27 [size =\"26363904\"]\n  20 -> 29 [size =\"26363904\"]\n  20 -> 30 [size =\"26363904\"]\n  20 -> 31 [size =\"26363904\"]\n  21 [size=\"51307520\", alpha=\"0.01\", expect_size=\"20523008\"] \n  21 -> 28 [size =\"20523008\"]\n  21 -> 29 [size =\"20523008\"]\n  21 -> 29 [size =\"20523008\"]\n  21 -> 30 [size =\"20523008\"]\n  21 -> 31 [size =\"20523008\"]\n  22 [size=\"117171200\", alpha=\"0.07\", expect_size=\"46868480\"] \n  22 -> 26 [size =\"46868480\"]\n  22 -> 28 [size =\"46868480\"]\n  22 -> 30 [size =\"46868480\"]\n  23 [size=\"52986880\", alpha=\"0.10\", expect_size=\"21194752\"] \n  23 -> 26 [size =\"21194752\"]\n  23 -> 27 [size =\"21194752\"]\n  23 -> 29 [size =\"21194752\"]\n  23 -> 30 [size =\"21194752\"]\n  23 -> 31 [size =\"21194752\"]\n  24 [size=\"20029440\", alpha=\"0.09\", expect_size=\"8011776\"] \n  24 -> 26 [size =\"8011776\"]\n  24 -> 30 [size =\"8011776\"]\n  24 -> 31 [size =\"8011776\"]\n  25 [size=\"73615360\", alpha=\"0.03\", expect_size=\"29446144\"] \n  25 -> 26 [size =\"29446144\"]\n  25 -> 29 [size =\"29446144\"]\n  25 -> 30 [size =\"29446144\"]\n  26 [size=\"59901440\", alpha=\"0.10\", expect_size=\"23960576\"] \n  26 -> 33 [size =\"23960576\"]\n  26 -> 36 [size =\"23960576\"]\n  27 [size=\"72637440\", alpha=\"0.16\", expect_size=\"29054976\"] \n  27 -> 33 [size =\"29054976\"]\n  27 -> 34 [size =\"29054976\"]\n  28 [size=\"87283200\", alpha=\"0.05\", expect_size=\"34913280\"] \n  28 -> 32 [size =\"34913280\"]\n  28 -> 33 [size =\"34913280\"]\n  28 -> 34 [size =\"34913280\"]\n  28 -> 37 [size =\"34913280\"]\n  29 [size=\"66278400\", alpha=\"0.00\", expect_size=\"26511360\"] \n  29 -> 32 [size =\"26511360\"]\n  29 -> 33 [size =\"26511360\"]\n  29 -> 34 [size =\"26511360\"]\n  29 -> 35 [size =\"26511360\"]\n  29 -> 36 [size =\"26511360\"]\n  29 -> 37 [size =\"26511360\"]\n  30 [size=\"41940480\", alpha=\"0.02\", expect_size=\"16776192\"] \n  30 -> 32 [size =\"16776192\"]\n  30 -> 35 [size =\"16776192\"]\n  30 -> 36 [size =\"16776192\"]\n  31 [size=\"40770560\", alpha=\"0.19\", expect_size=\"16308224\"] \n  31 -> 32 [size =\"16308224\"]\n  31 -> 34 [size =\"16308224\"]\n  31 -> 35 [size =\"16308224\"]\n  31 -> 36 [size =\"16308224\"]\n  32 [size=\"44538880\", alpha=\"0.18\", expect_size=\"17815552\"] \n  32 -> 38 [size =\"17815552\"]\n  32 -> 39 [size =\"17815552\"]\n  32 -> 43 [size =\"17815552\"]\n  32 -> 44 [size =\"17815552\"]\n  33 [size=\"87503360\", alpha=\"0.14\", expect_size=\"35001344\"] \n  33 -> 38 [size =\"35001344\"]\n  33 -> 39 [size =\"35001344\"]\n  33 -> 42 [size =\"35001344\"]\n  33 -> 44 [size =\"35001344\"]\n  34 [size=\"28472320\", alpha=\"0.12\", expect_size=\"11388928\"] \n  34 -> 38 [size =\"11388928\"]\n  34 -> 41 [size =\"11388928\"]\n  34 -> 43 [size =\"11388928\"]\n  34 -> 44 [size =\"11388928\"]\n  35 [size=\"78801920\", alpha=\"0.14\", expect_size=\"31520768\"] \n  35 -> 38 [size =\"31520768\"]\n  35 -> 39 [size =\"31520768\"]\n  35 -> 41 [size =\"31520768\"]\n  35 -> 42 [size =\"31520768\"]\n  35 -> 43 [size =\"31520768\"]\n  36 [size=\"95956480\", alpha=\"0.09\", expect_size=\"38382592\"] \n  36 -> 38 [size =\"38382592\"]\n  36 -> 39 [size =\"38382592\"]\n  36 -> 40 [size =\"38382592\"]\n  36 -> 42 [size =\"38382592\"]\n  37 [size=\"35051520\", alpha=\"0.18\", expect_size=\"14020608\"] \n  37 -> 38 [size =\"14020608\"]\n  37 -> 39 [size =\"14020608\"]\n  37 -> 42 [size =\"14020608\"]\n  37 -> 43 [size =\"14020608\"]\n  38 [size=\"126489600\", alpha=\"0.05\", expect_size=\"50595840\"] \n  38 -> 45 [size =\"50595840\"]\n  38 -> 46 [size =\"50595840\"]\n  38 -> 47 [size =\"50595840\"]\n  38 -> 48 [size =\"50595840\"]\n  39 [size=\"39365120\", alpha=\"0.16\", expect_size=\"15746048\"] \n  39 -> 45 [size =\"15746048\"]\n  39 -> 46 [size =\"15746048\"]\n  39 -> 47 [size =\"15746048\"]\n  39 -> 48 [size =\"15746048\"]\n  39 -> 50 [size =\"15746048\"]\n  40 [size=\"42309120\", alpha=\"0.16\", expect_size=\"16923648\"] \n  40 -> 45 [size =\"16923648\"]\n  40 -> 46 [size =\"16923648\"]\n  40 -> 47 [size =\"16923648\"]\n  40 -> 49 [size =\"16923648\"]\n  40 -> 50 [size =\"16923648\"]\n  41 [size=\"51957760\", alpha=\"0.03\", expect_size=\"20783104\"] \n  41 -> 46 [size =\"20783104\"]\n  41 -> 46 [size =\"20783104\"]\n  41 -> 47 [size =\"20783104\"]\n  42 [size=\"45729280\", alpha=\"0.07\", expect_size=\"18291712\"] \n  42 -> 48 [size =\"18291712\"]\n  42 -> 49 [size =\"18291712\"]\n  42 -> 50 [size =\"18291712\"]\n  43 [size=\"35468800\", alpha=\"0.18\", expect_size=\"14187520\"] \n  43 -> 48 [size =\"14187520\"]\n  43 -> 50 [size =\"14187520\"]\n  43 -> 50 [size =\"14187520\"]\n  44 [size=\"119357440\", alpha=\"0.10\", expect_size=\"47742976\"] \n  44 -> 46 [size =\"47742976\"]\n  44 -> 48 [size =\"47742976\"]\n  44 -> 50 [size =\"47742976\"]\n  45 [size=\"70149120\", alpha=\"0.13\", expect_size=\"28059648\"] \n  46 [size=\"32522240\", alpha=\"0.03\", expect_size=\"13008896\"] \n  47 [size=\"86097920\", alpha=\"0.04\", expect_size=\"34439168\"] \n  48 [size=\"74467840\", alpha=\"0.17\", expect_size=\"29787136\"] \n  49 [size=\"101268480\", alpha=\"0.19\", expect_size=\"40507392\"] \n  50 [size=\"76288000\", alpha=\"0.06\", expect_size=\"30515200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.715.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66624000\", alpha=\"0.06\", expect_size=\"26649600\"] \n  1 -> 10 [size =\"26649600\"]\n  2 [size=\"26163200\", alpha=\"0.07\", expect_size=\"10465280\"] \n  2 -> 10 [size =\"10465280\"]\n  2 -> 11 [size =\"10465280\"]\n  3 [size=\"105361920\", alpha=\"0.02\", expect_size=\"42144768\"] \n  3 -> 14 [size =\"42144768\"]\n  4 [size=\"109248000\", alpha=\"0.19\", expect_size=\"43699200\"] \n  4 -> 11 [size =\"43699200\"]\n  4 -> 12 [size =\"43699200\"]\n  4 -> 14 [size =\"43699200\"]\n  5 [size=\"122831360\", alpha=\"0.17\", expect_size=\"49132544\"] \n  5 -> 14 [size =\"49132544\"]\n  6 [size=\"113881600\", alpha=\"0.19\", expect_size=\"45552640\"] \n  6 -> 10 [size =\"45552640\"]\n  6 -> 11 [size =\"45552640\"]\n  6 -> 15 [size =\"45552640\"]\n  7 [size=\"56028160\", alpha=\"0.08\", expect_size=\"22411264\"] \n  7 -> 11 [size =\"22411264\"]\n  7 -> 13 [size =\"22411264\"]\n  8 [size=\"108925440\", alpha=\"0.05\", expect_size=\"43570176\"] \n  8 -> 10 [size =\"43570176\"]\n  8 -> 14 [size =\"43570176\"]\n  8 -> 15 [size =\"43570176\"]\n  9 [size=\"38958080\", alpha=\"0.15\", expect_size=\"15583232\"] \n  9 -> 10 [size =\"15583232\"]\n  9 -> 11 [size =\"15583232\"]\n  9 -> 13 [size =\"15583232\"]\n  9 -> 14 [size =\"15583232\"]\n  10 [size=\"84072960\", alpha=\"0.03\", expect_size=\"33629184\"] \n  10 -> 18 [size =\"33629184\"]\n  10 -> 22 [size =\"33629184\"]\n  11 [size=\"96286720\", alpha=\"0.10\", expect_size=\"38514688\"] \n  11 -> 16 [size =\"38514688\"]\n  11 -> 17 [size =\"38514688\"]\n  11 -> 18 [size =\"38514688\"]\n  11 -> 20 [size =\"38514688\"]\n  11 -> 21 [size =\"38514688\"]\n  11 -> 22 [size =\"38514688\"]\n  11 -> 23 [size =\"38514688\"]\n  12 [size=\"14763520\", alpha=\"0.04\", expect_size=\"5905408\"] \n  12 -> 18 [size =\"5905408\"]\n  12 -> 19 [size =\"5905408\"]\n  12 -> 22 [size =\"5905408\"]\n  12 -> 24 [size =\"5905408\"]\n  13 [size=\"54126080\", alpha=\"0.18\", expect_size=\"21650432\"] \n  13 -> 17 [size =\"21650432\"]\n  13 -> 21 [size =\"21650432\"]\n  14 [size=\"66247680\", alpha=\"0.20\", expect_size=\"26499072\"] \n  14 -> 16 [size =\"26499072\"]\n  14 -> 17 [size =\"26499072\"]\n  14 -> 20 [size =\"26499072\"]\n  14 -> 21 [size =\"26499072\"]\n  14 -> 24 [size =\"26499072\"]\n  15 [size=\"63293440\", alpha=\"0.01\", expect_size=\"25317376\"] \n  15 -> 17 [size =\"25317376\"]\n  15 -> 19 [size =\"25317376\"]\n  15 -> 20 [size =\"25317376\"]\n  15 -> 22 [size =\"25317376\"]\n  16 [size=\"45936640\", alpha=\"0.14\", expect_size=\"18374656\"] \n  16 -> 25 [size =\"18374656\"]\n  16 -> 28 [size =\"18374656\"]\n  16 -> 30 [size =\"18374656\"]\n  17 [size=\"40839680\", alpha=\"0.02\", expect_size=\"16335872\"] \n  17 -> 25 [size =\"16335872\"]\n  17 -> 26 [size =\"16335872\"]\n  17 -> 29 [size =\"16335872\"]\n  18 [size=\"86717440\", alpha=\"0.01\", expect_size=\"34686976\"] \n  18 -> 26 [size =\"34686976\"]\n  19 [size=\"117199360\", alpha=\"0.17\", expect_size=\"46879744\"] \n  19 -> 26 [size =\"46879744\"]\n  20 [size=\"88268800\", alpha=\"0.16\", expect_size=\"35307520\"] \n  20 -> 26 [size =\"35307520\"]\n  21 [size=\"104924160\", alpha=\"0.05\", expect_size=\"41969664\"] \n  21 -> 30 [size =\"41969664\"]\n  22 [size=\"45130240\", alpha=\"0.16\", expect_size=\"18052096\"] \n  22 -> 25 [size =\"18052096\"]\n  22 -> 26 [size =\"18052096\"]\n  22 -> 27 [size =\"18052096\"]\n  22 -> 30 [size =\"18052096\"]\n  23 [size=\"67983360\", alpha=\"0.02\", expect_size=\"27193344\"] \n  23 -> 26 [size =\"27193344\"]\n  23 -> 27 [size =\"27193344\"]\n  23 -> 27 [size =\"27193344\"]\n  23 -> 30 [size =\"27193344\"]\n  24 [size=\"53591040\", alpha=\"0.04\", expect_size=\"21436416\"] \n  24 -> 27 [size =\"21436416\"]\n  24 -> 27 [size =\"21436416\"]\n  24 -> 30 [size =\"21436416\"]\n  25 [size=\"53373440\", alpha=\"0.06\", expect_size=\"21349376\"] \n  25 -> 31 [size =\"21349376\"]\n  25 -> 34 [size =\"21349376\"]\n  25 -> 35 [size =\"21349376\"]\n  25 -> 36 [size =\"21349376\"]\n  26 [size=\"57592320\", alpha=\"0.04\", expect_size=\"23036928\"] \n  26 -> 31 [size =\"23036928\"]\n  27 [size=\"24355840\", alpha=\"0.10\", expect_size=\"9742336\"] \n  27 -> 32 [size =\"9742336\"]\n  27 -> 34 [size =\"9742336\"]\n  28 [size=\"38942720\", alpha=\"0.11\", expect_size=\"15577088\"] \n  28 -> 31 [size =\"15577088\"]\n  28 -> 32 [size =\"15577088\"]\n  28 -> 34 [size =\"15577088\"]\n  28 -> 35 [size =\"15577088\"]\n  29 [size=\"44894720\", alpha=\"0.18\", expect_size=\"17957888\"] \n  29 -> 32 [size =\"17957888\"]\n  29 -> 33 [size =\"17957888\"]\n  30 [size=\"27765760\", alpha=\"0.16\", expect_size=\"11106304\"] \n  30 -> 31 [size =\"11106304\"]\n  30 -> 32 [size =\"11106304\"]\n  30 -> 34 [size =\"11106304\"]\n  31 [size=\"124876800\", alpha=\"0.08\", expect_size=\"49950720\"] \n  31 -> 38 [size =\"49950720\"]\n  32 [size=\"35857920\", alpha=\"0.01\", expect_size=\"14343168\"] \n  32 -> 37 [size =\"14343168\"]\n  33 [size=\"127654400\", alpha=\"0.00\", expect_size=\"51061760\"] \n  34 [size=\"20664320\", alpha=\"0.09\", expect_size=\"8265728\"] \n  34 -> 37 [size =\"8265728\"]\n  35 [size=\"46960640\", alpha=\"0.06\", expect_size=\"18784256\"] \n  35 -> 39 [size =\"18784256\"]\n  35 -> 40 [size =\"18784256\"]\n  36 [size=\"80337920\", alpha=\"0.09\", expect_size=\"32135168\"] \n  37 [size=\"103605760\", alpha=\"0.16\", expect_size=\"41442304\"] \n  37 -> 41 [size =\"41442304\"]\n  37 -> 42 [size =\"41442304\"]\n  37 -> 44 [size =\"41442304\"]\n  38 [size=\"41722880\", alpha=\"0.16\", expect_size=\"16689152\"] \n  38 -> 41 [size =\"16689152\"]\n  38 -> 43 [size =\"16689152\"]\n  38 -> 45 [size =\"16689152\"]\n  38 -> 46 [size =\"16689152\"]\n  39 [size=\"108474880\", alpha=\"0.13\", expect_size=\"43389952\"] \n  39 -> 42 [size =\"43389952\"]\n  39 -> 45 [size =\"43389952\"]\n  40 [size=\"93780480\", alpha=\"0.03\", expect_size=\"37512192\"] \n  40 -> 43 [size =\"37512192\"]\n  41 [size=\"68613120\", alpha=\"0.09\", expect_size=\"27445248\"] \n  42 [size=\"116144640\", alpha=\"0.00\", expect_size=\"46457856\"] \n  42 -> 47 [size =\"46457856\"]\n  42 -> 48 [size =\"46457856\"]\n  42 -> 50 [size =\"46457856\"]\n  43 [size=\"120074240\", alpha=\"0.01\", expect_size=\"48029696\"] \n  44 [size=\"121418240\", alpha=\"0.08\", expect_size=\"48567296\"] \n  45 [size=\"55357440\", alpha=\"0.03\", expect_size=\"22142976\"] \n  45 -> 47 [size =\"22142976\"]\n  45 -> 49 [size =\"22142976\"]\n  46 [size=\"90040320\", alpha=\"0.04\", expect_size=\"36016128\"] \n  46 -> 47 [size =\"36016128\"]\n  47 [size=\"22369280\", alpha=\"0.08\", expect_size=\"8947712\"] \n  48 [size=\"116011520\", alpha=\"0.16\", expect_size=\"46404608\"] \n  49 [size=\"90680320\", alpha=\"0.09\", expect_size=\"36272128\"] \n  50 [size=\"50472960\", alpha=\"0.05\", expect_size=\"20189184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.716.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129190400\", alpha=\"0.05\", expect_size=\"51676160\"] \n  1 -> 45 [size =\"51676160\"]\n  2 [size=\"84738560\", alpha=\"0.04\", expect_size=\"33895424\"] \n  2 -> 38 [size =\"33895424\"]\n  2 -> 39 [size =\"33895424\"]\n  2 -> 40 [size =\"33895424\"]\n  2 -> 46 [size =\"33895424\"]\n  2 -> 47 [size =\"33895424\"]\n  2 -> 48 [size =\"33895424\"]\n  3 [size=\"20948480\", alpha=\"0.07\", expect_size=\"8379392\"] \n  3 -> 38 [size =\"8379392\"]\n  3 -> 39 [size =\"8379392\"]\n  3 -> 48 [size =\"8379392\"]\n  4 [size=\"64619520\", alpha=\"0.09\", expect_size=\"25847808\"] \n  4 -> 41 [size =\"25847808\"]\n  4 -> 47 [size =\"25847808\"]\n  5 [size=\"44712960\", alpha=\"0.09\", expect_size=\"17885184\"] \n  5 -> 38 [size =\"17885184\"]\n  6 [size=\"112985600\", alpha=\"0.06\", expect_size=\"45194240\"] \n  6 -> 36 [size =\"45194240\"]\n  6 -> 38 [size =\"45194240\"]\n  6 -> 39 [size =\"45194240\"]\n  6 -> 41 [size =\"45194240\"]\n  6 -> 43 [size =\"45194240\"]\n  6 -> 47 [size =\"45194240\"]\n  7 [size=\"22379520\", alpha=\"0.15\", expect_size=\"8951808\"] \n  7 -> 35 [size =\"8951808\"]\n  7 -> 41 [size =\"8951808\"]\n  7 -> 43 [size =\"8951808\"]\n  7 -> 44 [size =\"8951808\"]\n  7 -> 45 [size =\"8951808\"]\n  7 -> 48 [size =\"8951808\"]\n  8 [size=\"83993600\", alpha=\"0.18\", expect_size=\"33597440\"] \n  8 -> 38 [size =\"33597440\"]\n  8 -> 41 [size =\"33597440\"]\n  8 -> 44 [size =\"33597440\"]\n  8 -> 44 [size =\"33597440\"]\n  9 [size=\"106122240\", alpha=\"0.12\", expect_size=\"42448896\"] \n  9 -> 38 [size =\"42448896\"]\n  9 -> 39 [size =\"42448896\"]\n  9 -> 41 [size =\"42448896\"]\n  9 -> 44 [size =\"42448896\"]\n  9 -> 48 [size =\"42448896\"]\n  10 [size=\"65704960\", alpha=\"0.03\", expect_size=\"26281984\"] \n  10 -> 35 [size =\"26281984\"]\n  10 -> 38 [size =\"26281984\"]\n  10 -> 47 [size =\"26281984\"]\n  11 [size=\"34316800\", alpha=\"0.06\", expect_size=\"13726720\"] \n  11 -> 38 [size =\"13726720\"]\n  11 -> 41 [size =\"13726720\"]\n  11 -> 44 [size =\"13726720\"]\n  12 [size=\"63982080\", alpha=\"0.08\", expect_size=\"25592832\"] \n  12 -> 41 [size =\"25592832\"]\n  12 -> 43 [size =\"25592832\"]\n  12 -> 45 [size =\"25592832\"]\n  12 -> 50 [size =\"25592832\"]\n  13 [size=\"86947840\", alpha=\"0.09\", expect_size=\"34779136\"] \n  13 -> 38 [size =\"34779136\"]\n  13 -> 39 [size =\"34779136\"]\n  13 -> 45 [size =\"34779136\"]\n  13 -> 48 [size =\"34779136\"]\n  14 [size=\"125765120\", alpha=\"0.09\", expect_size=\"50306048\"] \n  14 -> 36 [size =\"50306048\"]\n  14 -> 38 [size =\"50306048\"]\n  14 -> 39 [size =\"50306048\"]\n  14 -> 45 [size =\"50306048\"]\n  14 -> 48 [size =\"50306048\"]\n  15 [size=\"59532800\", alpha=\"0.11\", expect_size=\"23813120\"] \n  15 -> 39 [size =\"23813120\"]\n  15 -> 40 [size =\"23813120\"]\n  15 -> 45 [size =\"23813120\"]\n  15 -> 47 [size =\"23813120\"]\n  16 [size=\"114677760\", alpha=\"0.11\", expect_size=\"45871104\"] \n  16 -> 40 [size =\"45871104\"]\n  16 -> 41 [size =\"45871104\"]\n  16 -> 43 [size =\"45871104\"]\n  16 -> 44 [size =\"45871104\"]\n  16 -> 46 [size =\"45871104\"]\n  16 -> 47 [size =\"45871104\"]\n  16 -> 50 [size =\"45871104\"]\n  17 [size=\"32138240\", alpha=\"0.14\", expect_size=\"12855296\"] \n  17 -> 38 [size =\"12855296\"]\n  17 -> 39 [size =\"12855296\"]\n  17 -> 41 [size =\"12855296\"]\n  17 -> 44 [size =\"12855296\"]\n  17 -> 48 [size =\"12855296\"]\n  18 [size=\"121835520\", alpha=\"0.07\", expect_size=\"48734208\"] \n  18 -> 39 [size =\"48734208\"]\n  18 -> 41 [size =\"48734208\"]\n  18 -> 44 [size =\"48734208\"]\n  18 -> 45 [size =\"48734208\"]\n  18 -> 46 [size =\"48734208\"]\n  18 -> 48 [size =\"48734208\"]\n  18 -> 49 [size =\"48734208\"]\n  19 [size=\"112110080\", alpha=\"0.13\", expect_size=\"44844032\"] \n  19 -> 38 [size =\"44844032\"]\n  19 -> 46 [size =\"44844032\"]\n  19 -> 47 [size =\"44844032\"]\n  19 -> 48 [size =\"44844032\"]\n  20 [size=\"62138880\", alpha=\"0.16\", expect_size=\"24855552\"] \n  20 -> 35 [size =\"24855552\"]\n  20 -> 38 [size =\"24855552\"]\n  20 -> 44 [size =\"24855552\"]\n  20 -> 46 [size =\"24855552\"]\n  20 -> 48 [size =\"24855552\"]\n  21 [size=\"81361920\", alpha=\"0.19\", expect_size=\"32544768\"] \n  21 -> 39 [size =\"32544768\"]\n  21 -> 41 [size =\"32544768\"]\n  21 -> 45 [size =\"32544768\"]\n  21 -> 47 [size =\"32544768\"]\n  21 -> 48 [size =\"32544768\"]\n  22 [size=\"116743680\", alpha=\"0.14\", expect_size=\"46697472\"] \n  22 -> 39 [size =\"46697472\"]\n  22 -> 41 [size =\"46697472\"]\n  22 -> 45 [size =\"46697472\"]\n  22 -> 47 [size =\"46697472\"]\n  22 -> 48 [size =\"46697472\"]\n  23 [size=\"47016960\", alpha=\"0.11\", expect_size=\"18806784\"] \n  23 -> 39 [size =\"18806784\"]\n  23 -> 40 [size =\"18806784\"]\n  23 -> 47 [size =\"18806784\"]\n  24 [size=\"97848320\", alpha=\"0.16\", expect_size=\"39139328\"] \n  24 -> 37 [size =\"39139328\"]\n  24 -> 39 [size =\"39139328\"]\n  24 -> 44 [size =\"39139328\"]\n  25 [size=\"31206400\", alpha=\"0.06\", expect_size=\"12482560\"] \n  25 -> 44 [size =\"12482560\"]\n  25 -> 47 [size =\"12482560\"]\n  26 [size=\"94891520\", alpha=\"0.14\", expect_size=\"37956608\"] \n  26 -> 44 [size =\"37956608\"]\n  26 -> 45 [size =\"37956608\"]\n  26 -> 47 [size =\"37956608\"]\n  27 [size=\"41592320\", alpha=\"0.03\", expect_size=\"16636928\"] \n  27 -> 35 [size =\"16636928\"]\n  27 -> 38 [size =\"16636928\"]\n  27 -> 39 [size =\"16636928\"]\n  27 -> 47 [size =\"16636928\"]\n  28 [size=\"123763200\", alpha=\"0.04\", expect_size=\"49505280\"] \n  28 -> 35 [size =\"49505280\"]\n  28 -> 45 [size =\"49505280\"]\n  28 -> 48 [size =\"49505280\"]\n  29 [size=\"46059520\", alpha=\"0.01\", expect_size=\"18423808\"] \n  29 -> 39 [size =\"18423808\"]\n  29 -> 41 [size =\"18423808\"]\n  29 -> 44 [size =\"18423808\"]\n  29 -> 45 [size =\"18423808\"]\n  30 [size=\"121745920\", alpha=\"0.06\", expect_size=\"48698368\"] \n  30 -> 39 [size =\"48698368\"]\n  30 -> 48 [size =\"48698368\"]\n  31 [size=\"98787840\", alpha=\"0.16\", expect_size=\"39515136\"] \n  31 -> 38 [size =\"39515136\"]\n  31 -> 48 [size =\"39515136\"]\n  32 [size=\"93268480\", alpha=\"0.14\", expect_size=\"37307392\"] \n  32 -> 41 [size =\"37307392\"]\n  32 -> 42 [size =\"37307392\"]\n  32 -> 46 [size =\"37307392\"]\n  32 -> 47 [size =\"37307392\"]\n  33 [size=\"58859520\", alpha=\"0.04\", expect_size=\"23543808\"] \n  33 -> 48 [size =\"23543808\"]\n  34 [size=\"121369600\", alpha=\"0.14\", expect_size=\"48547840\"] \n  34 -> 39 [size =\"48547840\"]\n  34 -> 47 [size =\"48547840\"]\n  35 [size=\"96378880\", alpha=\"0.11\", expect_size=\"38551552\"] \n  36 [size=\"15493120\", alpha=\"0.06\", expect_size=\"6197248\"] \n  37 [size=\"96560640\", alpha=\"0.04\", expect_size=\"38624256\"] \n  38 [size=\"112924160\", alpha=\"0.00\", expect_size=\"45169664\"] \n  39 [size=\"17505280\", alpha=\"0.13\", expect_size=\"7002112\"] \n  40 [size=\"21286400\", alpha=\"0.15\", expect_size=\"8514560\"] \n  41 [size=\"58900480\", alpha=\"0.08\", expect_size=\"23560192\"] \n  42 [size=\"33594880\", alpha=\"0.18\", expect_size=\"13437952\"] \n  43 [size=\"114211840\", alpha=\"0.15\", expect_size=\"45684736\"] \n  44 [size=\"20697600\", alpha=\"0.05\", expect_size=\"8279040\"] \n  45 [size=\"101639680\", alpha=\"0.19\", expect_size=\"40655872\"] \n  46 [size=\"49574400\", alpha=\"0.07\", expect_size=\"19829760\"] \n  47 [size=\"84037120\", alpha=\"0.19\", expect_size=\"33614848\"] \n  48 [size=\"106096640\", alpha=\"0.10\", expect_size=\"42438656\"] \n  49 [size=\"106519040\", alpha=\"0.07\", expect_size=\"42607616\"] \n  50 [size=\"66342400\", alpha=\"0.02\", expect_size=\"26536960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.717.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18925568\", alpha=\"0.02\", expect_size=\"9462784\"] \n  1 -> 31 [size =\"9462784\"]\n  1 -> 35 [size =\"9462784\"]\n  1 -> 36 [size =\"9462784\"]\n  1 -> 36 [size =\"9462784\"]\n  1 -> 37 [size =\"9462784\"]\n  1 -> 40 [size =\"9462784\"]\n  1 -> 42 [size =\"9462784\"]\n  1 -> 43 [size =\"9462784\"]\n  2 [size=\"62308352\", alpha=\"0.16\", expect_size=\"31154176\"] \n  2 -> 31 [size =\"31154176\"]\n  2 -> 34 [size =\"31154176\"]\n  2 -> 36 [size =\"31154176\"]\n  2 -> 37 [size =\"31154176\"]\n  2 -> 37 [size =\"31154176\"]\n  2 -> 39 [size =\"31154176\"]\n  2 -> 40 [size =\"31154176\"]\n  2 -> 43 [size =\"31154176\"]\n  3 [size=\"27277312\", alpha=\"0.17\", expect_size=\"13638656\"] \n  3 -> 32 [size =\"13638656\"]\n  3 -> 33 [size =\"13638656\"]\n  3 -> 34 [size =\"13638656\"]\n  3 -> 36 [size =\"13638656\"]\n  3 -> 40 [size =\"13638656\"]\n  3 -> 42 [size =\"13638656\"]\n  3 -> 46 [size =\"13638656\"]\n  3 -> 47 [size =\"13638656\"]\n  3 -> 49 [size =\"13638656\"]\n  4 [size=\"82323456\", alpha=\"0.01\", expect_size=\"41161728\"] \n  4 -> 30 [size =\"41161728\"]\n  4 -> 35 [size =\"41161728\"]\n  4 -> 36 [size =\"41161728\"]\n  4 -> 36 [size =\"41161728\"]\n  4 -> 38 [size =\"41161728\"]\n  4 -> 40 [size =\"41161728\"]\n  4 -> 42 [size =\"41161728\"]\n  4 -> 43 [size =\"41161728\"]\n  4 -> 44 [size =\"41161728\"]\n  4 -> 48 [size =\"41161728\"]\n  4 -> 49 [size =\"41161728\"]\n  5 [size=\"81479680\", alpha=\"0.07\", expect_size=\"40739840\"] \n  5 -> 32 [size =\"40739840\"]\n  5 -> 36 [size =\"40739840\"]\n  5 -> 37 [size =\"40739840\"]\n  5 -> 39 [size =\"40739840\"]\n  5 -> 40 [size =\"40739840\"]\n  5 -> 40 [size =\"40739840\"]\n  5 -> 42 [size =\"40739840\"]\n  5 -> 43 [size =\"40739840\"]\n  5 -> 44 [size =\"40739840\"]\n  5 -> 49 [size =\"40739840\"]\n  6 [size=\"46051328\", alpha=\"0.13\", expect_size=\"23025664\"] \n  6 -> 30 [size =\"23025664\"]\n  6 -> 32 [size =\"23025664\"]\n  6 -> 33 [size =\"23025664\"]\n  6 -> 35 [size =\"23025664\"]\n  6 -> 37 [size =\"23025664\"]\n  6 -> 39 [size =\"23025664\"]\n  6 -> 40 [size =\"23025664\"]\n  6 -> 41 [size =\"23025664\"]\n  6 -> 42 [size =\"23025664\"]\n  6 -> 44 [size =\"23025664\"]\n  7 [size=\"31776768\", alpha=\"0.13\", expect_size=\"15888384\"] \n  7 -> 33 [size =\"15888384\"]\n  7 -> 34 [size =\"15888384\"]\n  7 -> 37 [size =\"15888384\"]\n  7 -> 39 [size =\"15888384\"]\n  7 -> 40 [size =\"15888384\"]\n  7 -> 42 [size =\"15888384\"]\n  7 -> 47 [size =\"15888384\"]\n  7 -> 48 [size =\"15888384\"]\n  8 [size=\"43159552\", alpha=\"0.08\", expect_size=\"21579776\"] \n  8 -> 34 [size =\"21579776\"]\n  8 -> 36 [size =\"21579776\"]\n  8 -> 37 [size =\"21579776\"]\n  8 -> 39 [size =\"21579776\"]\n  8 -> 40 [size =\"21579776\"]\n  8 -> 42 [size =\"21579776\"]\n  8 -> 44 [size =\"21579776\"]\n  8 -> 47 [size =\"21579776\"]\n  8 -> 48 [size =\"21579776\"]\n  9 [size=\"30500864\", alpha=\"0.15\", expect_size=\"15250432\"] \n  9 -> 30 [size =\"15250432\"]\n  9 -> 33 [size =\"15250432\"]\n  9 -> 34 [size =\"15250432\"]\n  9 -> 40 [size =\"15250432\"]\n  9 -> 40 [size =\"15250432\"]\n  9 -> 41 [size =\"15250432\"]\n  9 -> 42 [size =\"15250432\"]\n  9 -> 43 [size =\"15250432\"]\n  9 -> 44 [size =\"15250432\"]\n  9 -> 46 [size =\"15250432\"]\n  9 -> 47 [size =\"15250432\"]\n  10 [size=\"17920000\", alpha=\"0.01\", expect_size=\"8960000\"] \n  10 -> 32 [size =\"8960000\"]\n  10 -> 33 [size =\"8960000\"]\n  10 -> 34 [size =\"8960000\"]\n  10 -> 35 [size =\"8960000\"]\n  10 -> 36 [size =\"8960000\"]\n  10 -> 39 [size =\"8960000\"]\n  10 -> 40 [size =\"8960000\"]\n  10 -> 42 [size =\"8960000\"]\n  10 -> 43 [size =\"8960000\"]\n  10 -> 44 [size =\"8960000\"]\n  10 -> 47 [size =\"8960000\"]\n  10 -> 49 [size =\"8960000\"]\n  11 [size=\"70907904\", alpha=\"0.17\", expect_size=\"35453952\"] \n  11 -> 30 [size =\"35453952\"]\n  11 -> 33 [size =\"35453952\"]\n  11 -> 36 [size =\"35453952\"]\n  11 -> 38 [size =\"35453952\"]\n  11 -> 40 [size =\"35453952\"]\n  11 -> 42 [size =\"35453952\"]\n  11 -> 43 [size =\"35453952\"]\n  11 -> 44 [size =\"35453952\"]\n  11 -> 45 [size =\"35453952\"]\n  11 -> 47 [size =\"35453952\"]\n  11 -> 50 [size =\"35453952\"]\n  12 [size=\"82348032\", alpha=\"0.04\", expect_size=\"41174016\"] \n  12 -> 30 [size =\"41174016\"]\n  12 -> 31 [size =\"41174016\"]\n  12 -> 33 [size =\"41174016\"]\n  12 -> 35 [size =\"41174016\"]\n  12 -> 39 [size =\"41174016\"]\n  12 -> 40 [size =\"41174016\"]\n  12 -> 42 [size =\"41174016\"]\n  12 -> 43 [size =\"41174016\"]\n  12 -> 44 [size =\"41174016\"]\n  12 -> 46 [size =\"41174016\"]\n  12 -> 47 [size =\"41174016\"]\n  13 [size=\"62216192\", alpha=\"0.17\", expect_size=\"31108096\"] \n  13 -> 30 [size =\"31108096\"]\n  13 -> 33 [size =\"31108096\"]\n  13 -> 36 [size =\"31108096\"]\n  13 -> 40 [size =\"31108096\"]\n  13 -> 42 [size =\"31108096\"]\n  13 -> 44 [size =\"31108096\"]\n  13 -> 48 [size =\"31108096\"]\n  14 [size=\"48087040\", alpha=\"0.14\", expect_size=\"24043520\"] \n  14 -> 30 [size =\"24043520\"]\n  14 -> 33 [size =\"24043520\"]\n  14 -> 36 [size =\"24043520\"]\n  14 -> 39 [size =\"24043520\"]\n  14 -> 40 [size =\"24043520\"]\n  14 -> 42 [size =\"24043520\"]\n  14 -> 44 [size =\"24043520\"]\n  14 -> 47 [size =\"24043520\"]\n  14 -> 48 [size =\"24043520\"]\n  15 [size=\"52307968\", alpha=\"0.14\", expect_size=\"26153984\"] \n  15 -> 31 [size =\"26153984\"]\n  15 -> 36 [size =\"26153984\"]\n  15 -> 37 [size =\"26153984\"]\n  15 -> 40 [size =\"26153984\"]\n  15 -> 42 [size =\"26153984\"]\n  15 -> 43 [size =\"26153984\"]\n  15 -> 47 [size =\"26153984\"]\n  15 -> 47 [size =\"26153984\"]\n  16 [size=\"83798016\", alpha=\"0.02\", expect_size=\"41899008\"] \n  16 -> 30 [size =\"41899008\"]\n  16 -> 35 [size =\"41899008\"]\n  16 -> 36 [size =\"41899008\"]\n  16 -> 37 [size =\"41899008\"]\n  16 -> 38 [size =\"41899008\"]\n  16 -> 48 [size =\"41899008\"]\n  16 -> 49 [size =\"41899008\"]\n  16 -> 50 [size =\"41899008\"]\n  17 [size=\"48635904\", alpha=\"0.17\", expect_size=\"24317952\"] \n  17 -> 30 [size =\"24317952\"]\n  17 -> 36 [size =\"24317952\"]\n  17 -> 37 [size =\"24317952\"]\n  17 -> 39 [size =\"24317952\"]\n  17 -> 42 [size =\"24317952\"]\n  17 -> 44 [size =\"24317952\"]\n  17 -> 46 [size =\"24317952\"]\n  18 [size=\"17475584\", alpha=\"0.19\", expect_size=\"8737792\"] \n  18 -> 30 [size =\"8737792\"]\n  18 -> 38 [size =\"8737792\"]\n  18 -> 39 [size =\"8737792\"]\n  18 -> 42 [size =\"8737792\"]\n  18 -> 44 [size =\"8737792\"]\n  18 -> 48 [size =\"8737792\"]\n  19 [size=\"53370880\", alpha=\"0.13\", expect_size=\"26685440\"] \n  19 -> 31 [size =\"26685440\"]\n  19 -> 39 [size =\"26685440\"]\n  19 -> 41 [size =\"26685440\"]\n  19 -> 43 [size =\"26685440\"]\n  19 -> 44 [size =\"26685440\"]\n  19 -> 49 [size =\"26685440\"]\n  19 -> 50 [size =\"26685440\"]\n  20 [size=\"31291392\", alpha=\"0.01\", expect_size=\"15645696\"] \n  20 -> 31 [size =\"15645696\"]\n  20 -> 32 [size =\"15645696\"]\n  20 -> 37 [size =\"15645696\"]\n  20 -> 39 [size =\"15645696\"]\n  20 -> 42 [size =\"15645696\"]\n  20 -> 43 [size =\"15645696\"]\n  20 -> 44 [size =\"15645696\"]\n  20 -> 46 [size =\"15645696\"]\n  20 -> 48 [size =\"15645696\"]\n  20 -> 49 [size =\"15645696\"]\n  20 -> 50 [size =\"15645696\"]\n  21 [size=\"37859328\", alpha=\"0.11\", expect_size=\"18929664\"] \n  21 -> 31 [size =\"18929664\"]\n  21 -> 32 [size =\"18929664\"]\n  21 -> 33 [size =\"18929664\"]\n  21 -> 42 [size =\"18929664\"]\n  21 -> 43 [size =\"18929664\"]\n  21 -> 43 [size =\"18929664\"]\n  21 -> 44 [size =\"18929664\"]\n  21 -> 46 [size =\"18929664\"]\n  22 [size=\"23418880\", alpha=\"0.11\", expect_size=\"11709440\"] \n  22 -> 30 [size =\"11709440\"]\n  22 -> 36 [size =\"11709440\"]\n  22 -> 39 [size =\"11709440\"]\n  22 -> 40 [size =\"11709440\"]\n  22 -> 44 [size =\"11709440\"]\n  22 -> 46 [size =\"11709440\"]\n  22 -> 49 [size =\"11709440\"]\n  23 [size=\"40228864\", alpha=\"0.15\", expect_size=\"20114432\"] \n  23 -> 32 [size =\"20114432\"]\n  23 -> 33 [size =\"20114432\"]\n  23 -> 34 [size =\"20114432\"]\n  23 -> 36 [size =\"20114432\"]\n  23 -> 39 [size =\"20114432\"]\n  23 -> 42 [size =\"20114432\"]\n  23 -> 43 [size =\"20114432\"]\n  23 -> 46 [size =\"20114432\"]\n  23 -> 50 [size =\"20114432\"]\n  24 [size=\"27912192\", alpha=\"0.15\", expect_size=\"13956096\"] \n  24 -> 30 [size =\"13956096\"]\n  24 -> 32 [size =\"13956096\"]\n  24 -> 36 [size =\"13956096\"]\n  24 -> 36 [size =\"13956096\"]\n  24 -> 39 [size =\"13956096\"]\n  24 -> 40 [size =\"13956096\"]\n  24 -> 42 [size =\"13956096\"]\n  24 -> 46 [size =\"13956096\"]\n  24 -> 47 [size =\"13956096\"]\n  25 [size=\"91725824\", alpha=\"0.09\", expect_size=\"45862912\"] \n  25 -> 31 [size =\"45862912\"]\n  25 -> 32 [size =\"45862912\"]\n  25 -> 35 [size =\"45862912\"]\n  25 -> 36 [size =\"45862912\"]\n  25 -> 39 [size =\"45862912\"]\n  25 -> 42 [size =\"45862912\"]\n  25 -> 44 [size =\"45862912\"]\n  25 -> 46 [size =\"45862912\"]\n  25 -> 47 [size =\"45862912\"]\n  25 -> 48 [size =\"45862912\"]\n  25 -> 49 [size =\"45862912\"]\n  26 [size=\"63416320\", alpha=\"0.11\", expect_size=\"31708160\"] \n  26 -> 34 [size =\"31708160\"]\n  26 -> 36 [size =\"31708160\"]\n  26 -> 40 [size =\"31708160\"]\n  26 -> 42 [size =\"31708160\"]\n  26 -> 46 [size =\"31708160\"]\n  26 -> 47 [size =\"31708160\"]\n  26 -> 49 [size =\"31708160\"]\n  27 [size=\"72337408\", alpha=\"0.18\", expect_size=\"36168704\"] \n  27 -> 32 [size =\"36168704\"]\n  27 -> 33 [size =\"36168704\"]\n  27 -> 34 [size =\"36168704\"]\n  27 -> 36 [size =\"36168704\"]\n  27 -> 37 [size =\"36168704\"]\n  27 -> 39 [size =\"36168704\"]\n  27 -> 40 [size =\"36168704\"]\n  27 -> 42 [size =\"36168704\"]\n  27 -> 46 [size =\"36168704\"]\n  27 -> 47 [size =\"36168704\"]\n  27 -> 48 [size =\"36168704\"]\n  27 -> 49 [size =\"36168704\"]\n  28 [size=\"58286080\", alpha=\"0.12\", expect_size=\"29143040\"] \n  28 -> 30 [size =\"29143040\"]\n  28 -> 32 [size =\"29143040\"]\n  28 -> 36 [size =\"29143040\"]\n  28 -> 39 [size =\"29143040\"]\n  28 -> 40 [size =\"29143040\"]\n  28 -> 42 [size =\"29143040\"]\n  28 -> 43 [size =\"29143040\"]\n  28 -> 46 [size =\"29143040\"]\n  28 -> 47 [size =\"29143040\"]\n  28 -> 48 [size =\"29143040\"]\n  29 [size=\"54009856\", alpha=\"0.09\", expect_size=\"27004928\"] \n  29 -> 31 [size =\"27004928\"]\n  29 -> 33 [size =\"27004928\"]\n  29 -> 34 [size =\"27004928\"]\n  29 -> 36 [size =\"27004928\"]\n  29 -> 37 [size =\"27004928\"]\n  29 -> 40 [size =\"27004928\"]\n  29 -> 43 [size =\"27004928\"]\n  29 -> 48 [size =\"27004928\"]\n  30 [size=\"20570112\", alpha=\"0.09\", expect_size=\"10285056\"] \n  31 [size=\"24461312\", alpha=\"0.01\", expect_size=\"12230656\"] \n  32 [size=\"74119168\", alpha=\"0.08\", expect_size=\"37059584\"] \n  33 [size=\"32628736\", alpha=\"0.06\", expect_size=\"16314368\"] \n  34 [size=\"11149312\", alpha=\"0.13\", expect_size=\"5574656\"] \n  35 [size=\"81522688\", alpha=\"0.08\", expect_size=\"40761344\"] \n  36 [size=\"31627264\", alpha=\"0.18\", expect_size=\"15813632\"] \n  37 [size=\"85774336\", alpha=\"0.17\", expect_size=\"42887168\"] \n  38 [size=\"76511232\", alpha=\"0.17\", expect_size=\"38255616\"] \n  39 [size=\"36513792\", alpha=\"0.07\", expect_size=\"18256896\"] \n  40 [size=\"80171008\", alpha=\"0.00\", expect_size=\"40085504\"] \n  41 [size=\"26173440\", alpha=\"0.20\", expect_size=\"13086720\"] \n  42 [size=\"29317120\", alpha=\"0.02\", expect_size=\"14658560\"] \n  43 [size=\"67092480\", alpha=\"0.11\", expect_size=\"33546240\"] \n  44 [size=\"96858112\", alpha=\"0.03\", expect_size=\"48429056\"] \n  45 [size=\"61847552\", alpha=\"0.13\", expect_size=\"30923776\"] \n  46 [size=\"98254848\", alpha=\"0.13\", expect_size=\"49127424\"] \n  47 [size=\"90650624\", alpha=\"0.07\", expect_size=\"45325312\"] \n  48 [size=\"77187072\", alpha=\"0.11\", expect_size=\"38593536\"] \n  49 [size=\"64854016\", alpha=\"0.04\", expect_size=\"32427008\"] \n  50 [size=\"96536576\", alpha=\"0.20\", expect_size=\"48268288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.718.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114908160\", alpha=\"0.12\", expect_size=\"45963264\"] \n  1 -> 5 [size =\"45963264\"]\n  1 -> 6 [size =\"45963264\"]\n  1 -> 8 [size =\"45963264\"]\n  1 -> 9 [size =\"45963264\"]\n  2 [size=\"26321920\", alpha=\"0.15\", expect_size=\"10528768\"] \n  2 -> 8 [size =\"10528768\"]\n  2 -> 9 [size =\"10528768\"]\n  3 [size=\"124736000\", alpha=\"0.18\", expect_size=\"49894400\"] \n  3 -> 6 [size =\"49894400\"]\n  3 -> 7 [size =\"49894400\"]\n  3 -> 10 [size =\"49894400\"]\n  4 [size=\"105674240\", alpha=\"0.17\", expect_size=\"42269696\"] \n  4 -> 5 [size =\"42269696\"]\n  4 -> 10 [size =\"42269696\"]\n  5 [size=\"115671040\", alpha=\"0.12\", expect_size=\"46268416\"] \n  5 -> 14 [size =\"46268416\"]\n  5 -> 16 [size =\"46268416\"]\n  6 [size=\"80092160\", alpha=\"0.03\", expect_size=\"32036864\"] \n  6 -> 14 [size =\"32036864\"]\n  7 [size=\"82437120\", alpha=\"0.04\", expect_size=\"32974848\"] \n  7 -> 11 [size =\"32974848\"]\n  7 -> 15 [size =\"32974848\"]\n  8 [size=\"28915200\", alpha=\"0.12\", expect_size=\"11566080\"] \n  9 [size=\"110945280\", alpha=\"0.02\", expect_size=\"44378112\"] \n  9 -> 12 [size =\"44378112\"]\n  9 -> 13 [size =\"44378112\"]\n  9 -> 14 [size =\"44378112\"]\n  9 -> 16 [size =\"44378112\"]\n  9 -> 17 [size =\"44378112\"]\n  10 [size=\"50949120\", alpha=\"0.19\", expect_size=\"20379648\"] \n  10 -> 12 [size =\"20379648\"]\n  10 -> 17 [size =\"20379648\"]\n  11 [size=\"26122240\", alpha=\"0.07\", expect_size=\"10448896\"] \n  11 -> 21 [size =\"10448896\"]\n  12 [size=\"95203840\", alpha=\"0.20\", expect_size=\"38081536\"] \n  12 -> 19 [size =\"38081536\"]\n  13 [size=\"64069120\", alpha=\"0.14\", expect_size=\"25627648\"] \n  13 -> 23 [size =\"25627648\"]\n  14 [size=\"52974080\", alpha=\"0.13\", expect_size=\"21189632\"] \n  14 -> 18 [size =\"21189632\"]\n  14 -> 22 [size =\"21189632\"]\n  15 [size=\"37734400\", alpha=\"0.14\", expect_size=\"15093760\"] \n  16 [size=\"107202560\", alpha=\"0.11\", expect_size=\"42881024\"] \n  16 -> 20 [size =\"42881024\"]\n  17 [size=\"122775040\", alpha=\"0.10\", expect_size=\"49110016\"] \n  17 -> 21 [size =\"49110016\"]\n  18 [size=\"29212160\", alpha=\"0.10\", expect_size=\"11684864\"] \n  18 -> 25 [size =\"11684864\"]\n  19 [size=\"99343360\", alpha=\"0.18\", expect_size=\"39737344\"] \n  19 -> 26 [size =\"39737344\"]\n  19 -> 29 [size =\"39737344\"]\n  20 [size=\"109242880\", alpha=\"0.07\", expect_size=\"43697152\"] \n  20 -> 24 [size =\"43697152\"]\n  20 -> 26 [size =\"43697152\"]\n  20 -> 29 [size =\"43697152\"]\n  21 [size=\"104634880\", alpha=\"0.13\", expect_size=\"41853952\"] \n  21 -> 25 [size =\"41853952\"]\n  21 -> 28 [size =\"41853952\"]\n  21 -> 29 [size =\"41853952\"]\n  22 [size=\"25674240\", alpha=\"0.01\", expect_size=\"10269696\"] \n  23 [size=\"23280640\", alpha=\"0.09\", expect_size=\"9312256\"] \n  23 -> 27 [size =\"9312256\"]\n  24 [size=\"103234560\", alpha=\"0.12\", expect_size=\"41293824\"] \n  25 [size=\"59655680\", alpha=\"0.13\", expect_size=\"23862272\"] \n  26 [size=\"25267200\", alpha=\"0.04\", expect_size=\"10106880\"] \n  26 -> 32 [size =\"10106880\"]\n  26 -> 33 [size =\"10106880\"]\n  27 [size=\"90237440\", alpha=\"0.08\", expect_size=\"36094976\"] \n  27 -> 30 [size =\"36094976\"]\n  27 -> 33 [size =\"36094976\"]\n  28 [size=\"31992320\", alpha=\"0.14\", expect_size=\"12796928\"] \n  28 -> 31 [size =\"12796928\"]\n  28 -> 32 [size =\"12796928\"]\n  29 [size=\"89013760\", alpha=\"0.17\", expect_size=\"35605504\"] \n  29 -> 31 [size =\"35605504\"]\n  29 -> 32 [size =\"35605504\"]\n  29 -> 34 [size =\"35605504\"]\n  29 -> 35 [size =\"35605504\"]\n  30 [size=\"74821120\", alpha=\"0.07\", expect_size=\"29928448\"] \n  30 -> 37 [size =\"29928448\"]\n  30 -> 40 [size =\"29928448\"]\n  31 [size=\"113873920\", alpha=\"0.18\", expect_size=\"45549568\"] \n  31 -> 37 [size =\"45549568\"]\n  31 -> 38 [size =\"45549568\"]\n  32 [size=\"72048640\", alpha=\"0.04\", expect_size=\"28819456\"] \n  32 -> 38 [size =\"28819456\"]\n  32 -> 39 [size =\"28819456\"]\n  32 -> 40 [size =\"28819456\"]\n  33 [size=\"80524800\", alpha=\"0.18\", expect_size=\"32209920\"] \n  33 -> 36 [size =\"32209920\"]\n  33 -> 39 [size =\"32209920\"]\n  34 [size=\"15001600\", alpha=\"0.19\", expect_size=\"6000640\"] \n  34 -> 36 [size =\"6000640\"]\n  35 [size=\"86010880\", alpha=\"0.04\", expect_size=\"34404352\"] \n  35 -> 36 [size =\"34404352\"]\n  35 -> 37 [size =\"34404352\"]\n  35 -> 38 [size =\"34404352\"]\n  35 -> 40 [size =\"34404352\"]\n  36 [size=\"42227200\", alpha=\"0.05\", expect_size=\"16890880\"] \n  36 -> 45 [size =\"16890880\"]\n  36 -> 46 [size =\"16890880\"]\n  37 [size=\"68600320\", alpha=\"0.04\", expect_size=\"27440128\"] \n  37 -> 41 [size =\"27440128\"]\n  37 -> 43 [size =\"27440128\"]\n  37 -> 46 [size =\"27440128\"]\n  37 -> 48 [size =\"27440128\"]\n  38 [size=\"116497920\", alpha=\"0.07\", expect_size=\"46599168\"] \n  38 -> 41 [size =\"46599168\"]\n  38 -> 42 [size =\"46599168\"]\n  38 -> 45 [size =\"46599168\"]\n  38 -> 48 [size =\"46599168\"]\n  39 [size=\"83763200\", alpha=\"0.04\", expect_size=\"33505280\"] \n  39 -> 43 [size =\"33505280\"]\n  39 -> 47 [size =\"33505280\"]\n  39 -> 48 [size =\"33505280\"]\n  40 [size=\"68239360\", alpha=\"0.17\", expect_size=\"27295744\"] \n  40 -> 44 [size =\"27295744\"]\n  40 -> 46 [size =\"27295744\"]\n  41 [size=\"107768320\", alpha=\"0.05\", expect_size=\"43107328\"] \n  41 -> 49 [size =\"43107328\"]\n  41 -> 50 [size =\"43107328\"]\n  42 [size=\"97400320\", alpha=\"0.16\", expect_size=\"38960128\"] \n  42 -> 50 [size =\"38960128\"]\n  43 [size=\"119234560\", alpha=\"0.09\", expect_size=\"47693824\"] \n  44 [size=\"106268160\", alpha=\"0.17\", expect_size=\"42507264\"] \n  44 -> 49 [size =\"42507264\"]\n  45 [size=\"98368000\", alpha=\"0.13\", expect_size=\"39347200\"] \n  46 [size=\"120163840\", alpha=\"0.10\", expect_size=\"48065536\"] \n  46 -> 49 [size =\"48065536\"]\n  46 -> 50 [size =\"48065536\"]\n  47 [size=\"29818880\", alpha=\"0.01\", expect_size=\"11927552\"] \n  48 [size=\"54973440\", alpha=\"0.16\", expect_size=\"21989376\"] \n  49 [size=\"93767680\", alpha=\"0.03\", expect_size=\"37507072\"] \n  50 [size=\"114470400\", alpha=\"0.20\", expect_size=\"45788160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.719.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94754816\", alpha=\"0.08\", expect_size=\"47377408\"] \n  1 -> 10 [size =\"47377408\"]\n  1 -> 12 [size =\"47377408\"]\n  1 -> 13 [size =\"47377408\"]\n  1 -> 14 [size =\"47377408\"]\n  2 [size=\"48269312\", alpha=\"0.05\", expect_size=\"24134656\"] \n  2 -> 13 [size =\"24134656\"]\n  2 -> 14 [size =\"24134656\"]\n  3 [size=\"30158848\", alpha=\"0.01\", expect_size=\"15079424\"] \n  3 -> 11 [size =\"15079424\"]\n  3 -> 12 [size =\"15079424\"]\n  3 -> 13 [size =\"15079424\"]\n  4 [size=\"97456128\", alpha=\"0.15\", expect_size=\"48728064\"] \n  4 -> 9 [size =\"48728064\"]\n  4 -> 11 [size =\"48728064\"]\n  4 -> 13 [size =\"48728064\"]\n  4 -> 14 [size =\"48728064\"]\n  5 [size=\"57688064\", alpha=\"0.19\", expect_size=\"28844032\"] \n  6 [size=\"40011776\", alpha=\"0.16\", expect_size=\"20005888\"] \n  6 -> 8 [size =\"20005888\"]\n  7 [size=\"60485632\", alpha=\"0.12\", expect_size=\"30242816\"] \n  7 -> 12 [size =\"30242816\"]\n  8 [size=\"86808576\", alpha=\"0.07\", expect_size=\"43404288\"] \n  8 -> 18 [size =\"43404288\"]\n  9 [size=\"59351040\", alpha=\"0.08\", expect_size=\"29675520\"] \n  9 -> 16 [size =\"29675520\"]\n  9 -> 17 [size =\"29675520\"]\n  9 -> 18 [size =\"29675520\"]\n  9 -> 20 [size =\"29675520\"]\n  10 [size=\"92555264\", alpha=\"0.04\", expect_size=\"46277632\"] \n  10 -> 16 [size =\"46277632\"]\n  10 -> 17 [size =\"46277632\"]\n  10 -> 20 [size =\"46277632\"]\n  10 -> 20 [size =\"46277632\"]\n  11 [size=\"41639936\", alpha=\"0.14\", expect_size=\"20819968\"] \n  11 -> 15 [size =\"20819968\"]\n  11 -> 17 [size =\"20819968\"]\n  11 -> 18 [size =\"20819968\"]\n  12 [size=\"77586432\", alpha=\"0.12\", expect_size=\"38793216\"] \n  12 -> 19 [size =\"38793216\"]\n  13 [size=\"100564992\", alpha=\"0.09\", expect_size=\"50282496\"] \n  13 -> 15 [size =\"50282496\"]\n  13 -> 18 [size =\"50282496\"]\n  14 [size=\"10973184\", alpha=\"0.03\", expect_size=\"5486592\"] \n  14 -> 15 [size =\"5486592\"]\n  15 [size=\"83068928\", alpha=\"0.12\", expect_size=\"41534464\"] \n  15 -> 24 [size =\"41534464\"]\n  15 -> 26 [size =\"41534464\"]\n  16 [size=\"80121856\", alpha=\"0.02\", expect_size=\"40060928\"] \n  16 -> 21 [size =\"40060928\"]\n  16 -> 22 [size =\"40060928\"]\n  16 -> 26 [size =\"40060928\"]\n  17 [size=\"59695104\", alpha=\"0.11\", expect_size=\"29847552\"] \n  17 -> 21 [size =\"29847552\"]\n  17 -> 24 [size =\"29847552\"]\n  17 -> 25 [size =\"29847552\"]\n  18 [size=\"23836672\", alpha=\"0.08\", expect_size=\"11918336\"] \n  18 -> 21 [size =\"11918336\"]\n  18 -> 22 [size =\"11918336\"]\n  18 -> 25 [size =\"11918336\"]\n  18 -> 26 [size =\"11918336\"]\n  19 [size=\"57298944\", alpha=\"0.11\", expect_size=\"28649472\"] \n  19 -> 23 [size =\"28649472\"]\n  19 -> 24 [size =\"28649472\"]\n  19 -> 25 [size =\"28649472\"]\n  20 [size=\"95930368\", alpha=\"0.02\", expect_size=\"47965184\"] \n  20 -> 26 [size =\"47965184\"]\n  21 [size=\"18634752\", alpha=\"0.11\", expect_size=\"9317376\"] \n  21 -> 28 [size =\"9317376\"]\n  21 -> 31 [size =\"9317376\"]\n  22 [size=\"85317632\", alpha=\"0.08\", expect_size=\"42658816\"] \n  22 -> 27 [size =\"42658816\"]\n  22 -> 28 [size =\"42658816\"]\n  22 -> 29 [size =\"42658816\"]\n  22 -> 31 [size =\"42658816\"]\n  22 -> 32 [size =\"42658816\"]\n  23 [size=\"48816128\", alpha=\"0.10\", expect_size=\"24408064\"] \n  23 -> 27 [size =\"24408064\"]\n  23 -> 28 [size =\"24408064\"]\n  23 -> 30 [size =\"24408064\"]\n  23 -> 31 [size =\"24408064\"]\n  23 -> 32 [size =\"24408064\"]\n  24 [size=\"93081600\", alpha=\"0.09\", expect_size=\"46540800\"] \n  24 -> 29 [size =\"46540800\"]\n  24 -> 30 [size =\"46540800\"]\n  24 -> 32 [size =\"46540800\"]\n  25 [size=\"10842112\", alpha=\"0.19\", expect_size=\"5421056\"] \n  25 -> 30 [size =\"5421056\"]\n  26 [size=\"66752512\", alpha=\"0.15\", expect_size=\"33376256\"] \n  26 -> 28 [size =\"33376256\"]\n  26 -> 30 [size =\"33376256\"]\n  27 [size=\"76433408\", alpha=\"0.02\", expect_size=\"38216704\"] \n  27 -> 33 [size =\"38216704\"]\n  28 [size=\"34990080\", alpha=\"0.04\", expect_size=\"17495040\"] \n  28 -> 35 [size =\"17495040\"]\n  28 -> 37 [size =\"17495040\"]\n  29 [size=\"72945664\", alpha=\"0.18\", expect_size=\"36472832\"] \n  29 -> 34 [size =\"36472832\"]\n  30 [size=\"29431808\", alpha=\"0.08\", expect_size=\"14715904\"] \n  30 -> 36 [size =\"14715904\"]\n  30 -> 37 [size =\"14715904\"]\n  30 -> 38 [size =\"14715904\"]\n  31 [size=\"39098368\", alpha=\"0.05\", expect_size=\"19549184\"] \n  31 -> 34 [size =\"19549184\"]\n  32 [size=\"91842560\", alpha=\"0.17\", expect_size=\"45921280\"] \n  32 -> 33 [size =\"45921280\"]\n  32 -> 34 [size =\"45921280\"]\n  32 -> 35 [size =\"45921280\"]\n  33 [size=\"36702208\", alpha=\"0.07\", expect_size=\"18351104\"] \n  33 -> 39 [size =\"18351104\"]\n  33 -> 41 [size =\"18351104\"]\n  34 [size=\"82100224\", alpha=\"0.18\", expect_size=\"41050112\"] \n  34 -> 41 [size =\"41050112\"]\n  34 -> 44 [size =\"41050112\"]\n  35 [size=\"31887360\", alpha=\"0.03\", expect_size=\"15943680\"] \n  35 -> 42 [size =\"15943680\"]\n  35 -> 43 [size =\"15943680\"]\n  36 [size=\"27639808\", alpha=\"0.04\", expect_size=\"13819904\"] \n  36 -> 40 [size =\"13819904\"]\n  36 -> 43 [size =\"13819904\"]\n  36 -> 45 [size =\"13819904\"]\n  37 [size=\"98885632\", alpha=\"0.15\", expect_size=\"49442816\"] \n  37 -> 40 [size =\"49442816\"]\n  37 -> 43 [size =\"49442816\"]\n  37 -> 44 [size =\"49442816\"]\n  38 [size=\"12509184\", alpha=\"0.09\", expect_size=\"6254592\"] \n  38 -> 39 [size =\"6254592\"]\n  38 -> 41 [size =\"6254592\"]\n  38 -> 44 [size =\"6254592\"]\n  39 [size=\"33579008\", alpha=\"0.13\", expect_size=\"16789504\"] \n  39 -> 50 [size =\"16789504\"]\n  40 [size=\"22218752\", alpha=\"0.15\", expect_size=\"11109376\"] \n  41 [size=\"60502016\", alpha=\"0.19\", expect_size=\"30251008\"] \n  42 [size=\"85207040\", alpha=\"0.18\", expect_size=\"42603520\"] \n  42 -> 47 [size =\"42603520\"]\n  42 -> 49 [size =\"42603520\"]\n  43 [size=\"69068800\", alpha=\"0.06\", expect_size=\"34534400\"] \n  43 -> 47 [size =\"34534400\"]\n  43 -> 48 [size =\"34534400\"]\n  44 [size=\"102162432\", alpha=\"0.11\", expect_size=\"51081216\"] \n  44 -> 46 [size =\"51081216\"]\n  44 -> 47 [size =\"51081216\"]\n  45 [size=\"90607616\", alpha=\"0.16\", expect_size=\"45303808\"] \n  45 -> 47 [size =\"45303808\"]\n  46 [size=\"12615680\", alpha=\"0.14\", expect_size=\"6307840\"] \n  47 [size=\"32198656\", alpha=\"0.05\", expect_size=\"16099328\"] \n  48 [size=\"104192000\", alpha=\"0.01\", expect_size=\"52096000\"] \n  49 [size=\"53207040\", alpha=\"0.11\", expect_size=\"26603520\"] \n  50 [size=\"20428800\", alpha=\"0.04\", expect_size=\"10214400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101515947\", alpha=\"0.10\", expect_size=\"30454784\"] \n  1 -> 2 [size =\"30454784\"]\n  2 [size=\"75236693\", alpha=\"0.05\", expect_size=\"22571008\"] \n  2 -> 3 [size =\"22571008\"]\n  3 [size=\"55272107\", alpha=\"0.03\", expect_size=\"16581632\"] \n  3 -> 4 [size =\"16581632\"]\n  4 [size=\"144732160\", alpha=\"0.07\", expect_size=\"43419648\"] \n  4 -> 5 [size =\"43419648\"]\n  5 [size=\"158115840\", alpha=\"0.14\", expect_size=\"47434752\"] \n  5 -> 6 [size =\"47434752\"]\n  6 [size=\"29143040\", alpha=\"0.04\", expect_size=\"8742912\"] \n  6 -> 7 [size =\"8742912\"]\n  7 [size=\"154927787\", alpha=\"0.03\", expect_size=\"46478336\"] \n  7 -> 8 [size =\"46478336\"]\n  8 [size=\"101434027\", alpha=\"0.13\", expect_size=\"30430208\"] \n  8 -> 9 [size =\"30430208\"]\n  9 [size=\"142151680\", alpha=\"0.20\", expect_size=\"42645504\"] \n  9 -> 10 [size =\"42645504\"]\n  10 [size=\"42345813\", alpha=\"0.09\", expect_size=\"12703744\"] \n  10 -> 11 [size =\"12703744\"]\n  11 [size=\"122193920\", alpha=\"0.08\", expect_size=\"36658176\"] \n  11 -> 12 [size =\"36658176\"]\n  12 [size=\"41908907\", alpha=\"0.19\", expect_size=\"12572672\"] \n  12 -> 13 [size =\"12572672\"]\n  13 [size=\"82452480\", alpha=\"0.06\", expect_size=\"24735744\"] \n  13 -> 14 [size =\"24735744\"]\n  14 [size=\"107683840\", alpha=\"0.09\", expect_size=\"32305152\"] \n  14 -> 15 [size =\"32305152\"]\n  15 [size=\"161491627\", alpha=\"0.10\", expect_size=\"48447488\"] \n  15 -> 16 [size =\"48447488\"]\n  16 [size=\"110540800\", alpha=\"0.13\", expect_size=\"33162240\"] \n  16 -> 17 [size =\"33162240\"]\n  17 [size=\"138117120\", alpha=\"0.00\", expect_size=\"41435136\"] \n  17 -> 18 [size =\"41435136\"]\n  18 [size=\"160573440\", alpha=\"0.10\", expect_size=\"48172032\"] \n  18 -> 19 [size =\"48172032\"]\n  19 [size=\"108738560\", alpha=\"0.09\", expect_size=\"32621568\"] \n  19 -> 20 [size =\"32621568\"]\n  20 [size=\"104939520\", alpha=\"0.10\", expect_size=\"31481856\"] \n  20 -> 21 [size =\"31481856\"]\n  21 [size=\"19916800\", alpha=\"0.01\", expect_size=\"5975040\"] \n  21 -> 22 [size =\"5975040\"]\n  22 [size=\"82452480\", alpha=\"0.00\", expect_size=\"24735744\"] \n  22 -> 23 [size =\"24735744\"]\n  23 [size=\"78482773\", alpha=\"0.04\", expect_size=\"23544832\"] \n  23 -> 24 [size =\"23544832\"]\n  24 [size=\"127593813\", alpha=\"0.03\", expect_size=\"38278144\"] \n  24 -> 25 [size =\"38278144\"]\n  25 [size=\"40017920\", alpha=\"0.01\", expect_size=\"12005376\"] \n  25 -> 26 [size =\"12005376\"]\n  26 [size=\"122340693\", alpha=\"0.00\", expect_size=\"36702208\"] \n  26 -> 27 [size =\"36702208\"]\n  27 [size=\"70628693\", alpha=\"0.17\", expect_size=\"21188608\"] \n  27 -> 28 [size =\"21188608\"]\n  28 [size=\"70959787\", alpha=\"0.04\", expect_size=\"21287936\"] \n  28 -> 29 [size =\"21287936\"]\n  29 [size=\"149411840\", alpha=\"0.07\", expect_size=\"44823552\"] \n  29 -> 30 [size =\"44823552\"]\n  30 [size=\"65262933\", alpha=\"0.13\", expect_size=\"19578880\"] \n  30 -> 31 [size =\"19578880\"]\n  31 [size=\"143875413\", alpha=\"0.13\", expect_size=\"43162624\"] \n  31 -> 32 [size =\"43162624\"]\n  32 [size=\"154719573\", alpha=\"0.15\", expect_size=\"46415872\"] \n  32 -> 33 [size =\"46415872\"]\n  33 [size=\"155559253\", alpha=\"0.06\", expect_size=\"46667776\"] \n  33 -> 34 [size =\"46667776\"]\n  34 [size=\"26903893\", alpha=\"0.09\", expect_size=\"8071168\"] \n  34 -> 35 [size =\"8071168\"]\n  35 [size=\"53302613\", alpha=\"0.09\", expect_size=\"15990784\"] \n  35 -> 36 [size =\"15990784\"]\n  36 [size=\"60818773\", alpha=\"0.02\", expect_size=\"18245632\"] \n  36 -> 37 [size =\"18245632\"]\n  37 [size=\"61122560\", alpha=\"0.10\", expect_size=\"18336768\"] \n  37 -> 38 [size =\"18336768\"]\n  38 [size=\"34375680\", alpha=\"0.16\", expect_size=\"10312704\"] \n  38 -> 39 [size =\"10312704\"]\n  39 [size=\"64546133\", alpha=\"0.14\", expect_size=\"19363840\"] \n  39 -> 40 [size =\"19363840\"]\n  40 [size=\"119022933\", alpha=\"0.03\", expect_size=\"35706880\"] \n  40 -> 41 [size =\"35706880\"]\n  41 [size=\"65385813\", alpha=\"0.12\", expect_size=\"19615744\"] \n  41 -> 42 [size =\"19615744\"]\n  42 [size=\"165649067\", alpha=\"0.09\", expect_size=\"49694720\"] \n  42 -> 43 [size =\"49694720\"]\n  43 [size=\"129672533\", alpha=\"0.14\", expect_size=\"38901760\"] \n  43 -> 44 [size =\"38901760\"]\n  44 [size=\"22439253\", alpha=\"0.13\", expect_size=\"6731776\"] \n  44 -> 45 [size =\"6731776\"]\n  45 [size=\"91436373\", alpha=\"0.15\", expect_size=\"27430912\"] \n  45 -> 46 [size =\"27430912\"]\n  46 [size=\"166109867\", alpha=\"0.11\", expect_size=\"49832960\"] \n  46 -> 47 [size =\"49832960\"]\n  47 [size=\"24951467\", alpha=\"0.13\", expect_size=\"7485440\"] \n  47 -> 48 [size =\"7485440\"]\n  48 [size=\"103181653\", alpha=\"0.02\", expect_size=\"30954496\"] \n  48 -> 49 [size =\"30954496\"]\n  49 [size=\"72038400\", alpha=\"0.07\", expect_size=\"21611520\"] \n  49 -> 50 [size =\"21611520\"]\n  50 [size=\"22777173\", alpha=\"0.19\", expect_size=\"6833152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.720.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58787840\", alpha=\"0.08\", expect_size=\"29393920\"] \n  1 -> 8 [size =\"29393920\"]\n  2 [size=\"32544768\", alpha=\"0.07\", expect_size=\"16272384\"] \n  2 -> 9 [size =\"16272384\"]\n  2 -> 11 [size =\"16272384\"]\n  2 -> 12 [size =\"16272384\"]\n  3 [size=\"76851200\", alpha=\"0.08\", expect_size=\"38425600\"] \n  3 -> 8 [size =\"38425600\"]\n  3 -> 9 [size =\"38425600\"]\n  3 -> 12 [size =\"38425600\"]\n  4 [size=\"54276096\", alpha=\"0.02\", expect_size=\"27138048\"] \n  4 -> 8 [size =\"27138048\"]\n  4 -> 10 [size =\"27138048\"]\n  4 -> 13 [size =\"27138048\"]\n  5 [size=\"25731072\", alpha=\"0.18\", expect_size=\"12865536\"] \n  5 -> 7 [size =\"12865536\"]\n  5 -> 9 [size =\"12865536\"]\n  5 -> 11 [size =\"12865536\"]\n  5 -> 12 [size =\"12865536\"]\n  6 [size=\"64743424\", alpha=\"0.05\", expect_size=\"32371712\"] \n  6 -> 8 [size =\"32371712\"]\n  6 -> 11 [size =\"32371712\"]\n  7 [size=\"55115776\", alpha=\"0.16\", expect_size=\"27557888\"] \n  8 [size=\"54300672\", alpha=\"0.06\", expect_size=\"27150336\"] \n  8 -> 14 [size =\"27150336\"]\n  8 -> 20 [size =\"27150336\"]\n  9 [size=\"10903552\", alpha=\"0.10\", expect_size=\"5451776\"] \n  9 -> 15 [size =\"5451776\"]\n  9 -> 20 [size =\"5451776\"]\n  10 [size=\"79382528\", alpha=\"0.09\", expect_size=\"39691264\"] \n  10 -> 19 [size =\"39691264\"]\n  10 -> 20 [size =\"39691264\"]\n  11 [size=\"37582848\", alpha=\"0.03\", expect_size=\"18791424\"] \n  11 -> 16 [size =\"18791424\"]\n  11 -> 17 [size =\"18791424\"]\n  11 -> 18 [size =\"18791424\"]\n  11 -> 19 [size =\"18791424\"]\n  12 [size=\"76027904\", alpha=\"0.08\", expect_size=\"38013952\"] \n  12 -> 16 [size =\"38013952\"]\n  12 -> 18 [size =\"38013952\"]\n  12 -> 18 [size =\"38013952\"]\n  12 -> 19 [size =\"38013952\"]\n  12 -> 20 [size =\"38013952\"]\n  13 [size=\"15226880\", alpha=\"0.13\", expect_size=\"7613440\"] \n  13 -> 17 [size =\"7613440\"]\n  13 -> 19 [size =\"7613440\"]\n  13 -> 20 [size =\"7613440\"]\n  14 [size=\"55226368\", alpha=\"0.15\", expect_size=\"27613184\"] \n  15 [size=\"64583680\", alpha=\"0.16\", expect_size=\"32291840\"] \n  15 -> 21 [size =\"32291840\"]\n  16 [size=\"53983232\", alpha=\"0.06\", expect_size=\"26991616\"] \n  17 [size=\"78284800\", alpha=\"0.13\", expect_size=\"39142400\"] \n  17 -> 22 [size =\"39142400\"]\n  17 -> 24 [size =\"39142400\"]\n  17 -> 25 [size =\"39142400\"]\n  18 [size=\"61569024\", alpha=\"0.15\", expect_size=\"30784512\"] \n  18 -> 21 [size =\"30784512\"]\n  18 -> 24 [size =\"30784512\"]\n  18 -> 25 [size =\"30784512\"]\n  18 -> 26 [size =\"30784512\"]\n  19 [size=\"87713792\", alpha=\"0.15\", expect_size=\"43856896\"] \n  19 -> 24 [size =\"43856896\"]\n  19 -> 24 [size =\"43856896\"]\n  19 -> 25 [size =\"43856896\"]\n  19 -> 26 [size =\"43856896\"]\n  20 [size=\"38215680\", alpha=\"0.13\", expect_size=\"19107840\"] \n  20 -> 22 [size =\"19107840\"]\n  20 -> 23 [size =\"19107840\"]\n  21 [size=\"82882560\", alpha=\"0.01\", expect_size=\"41441280\"] \n  21 -> 27 [size =\"41441280\"]\n  21 -> 28 [size =\"41441280\"]\n  21 -> 29 [size =\"41441280\"]\n  21 -> 31 [size =\"41441280\"]\n  22 [size=\"99248128\", alpha=\"0.13\", expect_size=\"49624064\"] \n  22 -> 28 [size =\"49624064\"]\n  22 -> 29 [size =\"49624064\"]\n  22 -> 29 [size =\"49624064\"]\n  23 [size=\"41578496\", alpha=\"0.20\", expect_size=\"20789248\"] \n  23 -> 27 [size =\"20789248\"]\n  23 -> 30 [size =\"20789248\"]\n  23 -> 33 [size =\"20789248\"]\n  24 [size=\"10606592\", alpha=\"0.15\", expect_size=\"5303296\"] \n  24 -> 27 [size =\"5303296\"]\n  24 -> 30 [size =\"5303296\"]\n  25 [size=\"79257600\", alpha=\"0.14\", expect_size=\"39628800\"] \n  25 -> 28 [size =\"39628800\"]\n  25 -> 30 [size =\"39628800\"]\n  25 -> 31 [size =\"39628800\"]\n  25 -> 33 [size =\"39628800\"]\n  26 [size=\"61503488\", alpha=\"0.05\", expect_size=\"30751744\"] \n  26 -> 28 [size =\"30751744\"]\n  26 -> 29 [size =\"30751744\"]\n  26 -> 30 [size =\"30751744\"]\n  26 -> 31 [size =\"30751744\"]\n  26 -> 32 [size =\"30751744\"]\n  27 [size=\"89454592\", alpha=\"0.05\", expect_size=\"44727296\"] \n  27 -> 34 [size =\"44727296\"]\n  27 -> 38 [size =\"44727296\"]\n  27 -> 39 [size =\"44727296\"]\n  28 [size=\"57747456\", alpha=\"0.14\", expect_size=\"28873728\"] \n  28 -> 35 [size =\"28873728\"]\n  29 [size=\"35131392\", alpha=\"0.04\", expect_size=\"17565696\"] \n  29 -> 34 [size =\"17565696\"]\n  29 -> 35 [size =\"17565696\"]\n  30 [size=\"12736512\", alpha=\"0.08\", expect_size=\"6368256\"] \n  30 -> 34 [size =\"6368256\"]\n  30 -> 38 [size =\"6368256\"]\n  30 -> 40 [size =\"6368256\"]\n  31 [size=\"73125888\", alpha=\"0.17\", expect_size=\"36562944\"] \n  31 -> 34 [size =\"36562944\"]\n  31 -> 35 [size =\"36562944\"]\n  31 -> 36 [size =\"36562944\"]\n  31 -> 38 [size =\"36562944\"]\n  31 -> 40 [size =\"36562944\"]\n  32 [size=\"75862016\", alpha=\"0.01\", expect_size=\"37931008\"] \n  32 -> 36 [size =\"37931008\"]\n  32 -> 37 [size =\"37931008\"]\n  32 -> 40 [size =\"37931008\"]\n  33 [size=\"43003904\", alpha=\"0.05\", expect_size=\"21501952\"] \n  33 -> 35 [size =\"21501952\"]\n  33 -> 40 [size =\"21501952\"]\n  34 [size=\"40916992\", alpha=\"0.20\", expect_size=\"20458496\"] \n  34 -> 41 [size =\"20458496\"]\n  34 -> 44 [size =\"20458496\"]\n  35 [size=\"19021824\", alpha=\"0.05\", expect_size=\"9510912\"] \n  35 -> 41 [size =\"9510912\"]\n  35 -> 44 [size =\"9510912\"]\n  36 [size=\"86935552\", alpha=\"0.20\", expect_size=\"43467776\"] \n  36 -> 44 [size =\"43467776\"]\n  36 -> 45 [size =\"43467776\"]\n  37 [size=\"15800320\", alpha=\"0.09\", expect_size=\"7900160\"] \n  37 -> 41 [size =\"7900160\"]\n  37 -> 42 [size =\"7900160\"]\n  37 -> 43 [size =\"7900160\"]\n  37 -> 45 [size =\"7900160\"]\n  37 -> 47 [size =\"7900160\"]\n  38 [size=\"38991872\", alpha=\"0.09\", expect_size=\"19495936\"] \n  38 -> 41 [size =\"19495936\"]\n  38 -> 43 [size =\"19495936\"]\n  38 -> 45 [size =\"19495936\"]\n  39 [size=\"11581440\", alpha=\"0.05\", expect_size=\"5790720\"] \n  39 -> 44 [size =\"5790720\"]\n  39 -> 46 [size =\"5790720\"]\n  40 [size=\"28360704\", alpha=\"0.07\", expect_size=\"14180352\"] \n  40 -> 41 [size =\"14180352\"]\n  41 [size=\"63852544\", alpha=\"0.05\", expect_size=\"31926272\"] \n  41 -> 49 [size =\"31926272\"]\n  42 [size=\"50786304\", alpha=\"0.01\", expect_size=\"25393152\"] \n  42 -> 48 [size =\"25393152\"]\n  43 [size=\"54706176\", alpha=\"0.04\", expect_size=\"27353088\"] \n  43 -> 50 [size =\"27353088\"]\n  44 [size=\"80355328\", alpha=\"0.07\", expect_size=\"40177664\"] \n  44 -> 49 [size =\"40177664\"]\n  45 [size=\"78098432\", alpha=\"0.05\", expect_size=\"39049216\"] \n  46 [size=\"102039552\", alpha=\"0.13\", expect_size=\"51019776\"] \n  47 [size=\"101300224\", alpha=\"0.18\", expect_size=\"50650112\"] \n  48 [size=\"49311744\", alpha=\"0.13\", expect_size=\"24655872\"] \n  49 [size=\"91527168\", alpha=\"0.14\", expect_size=\"45763584\"] \n  50 [size=\"22065152\", alpha=\"0.15\", expect_size=\"11032576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.721.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41428480\", alpha=\"0.19\", expect_size=\"16571392\"] \n  1 -> 2 [size =\"16571392\"]\n  2 [size=\"16015360\", alpha=\"0.17\", expect_size=\"6406144\"] \n  2 -> 3 [size =\"6406144\"]\n  3 [size=\"40345600\", alpha=\"0.12\", expect_size=\"16138240\"] \n  3 -> 4 [size =\"16138240\"]\n  4 [size=\"39964160\", alpha=\"0.19\", expect_size=\"15985664\"] \n  4 -> 5 [size =\"15985664\"]\n  5 [size=\"59563520\", alpha=\"0.15\", expect_size=\"23825408\"] \n  5 -> 6 [size =\"23825408\"]\n  6 [size=\"59924480\", alpha=\"0.08\", expect_size=\"23969792\"] \n  6 -> 7 [size =\"23969792\"]\n  7 [size=\"85980160\", alpha=\"0.13\", expect_size=\"34392064\"] \n  7 -> 8 [size =\"34392064\"]\n  8 [size=\"96350720\", alpha=\"0.10\", expect_size=\"38540288\"] \n  8 -> 9 [size =\"38540288\"]\n  9 [size=\"108523520\", alpha=\"0.19\", expect_size=\"43409408\"] \n  9 -> 10 [size =\"43409408\"]\n  10 [size=\"85158400\", alpha=\"0.19\", expect_size=\"34063360\"] \n  10 -> 11 [size =\"34063360\"]\n  11 [size=\"54481920\", alpha=\"0.14\", expect_size=\"21792768\"] \n  11 -> 12 [size =\"21792768\"]\n  12 [size=\"45969920\", alpha=\"0.16\", expect_size=\"18387968\"] \n  12 -> 13 [size =\"18387968\"]\n  13 [size=\"30072320\", alpha=\"0.05\", expect_size=\"12028928\"] \n  13 -> 14 [size =\"12028928\"]\n  14 [size=\"102791680\", alpha=\"0.06\", expect_size=\"41116672\"] \n  14 -> 15 [size =\"41116672\"]\n  15 [size=\"95147520\", alpha=\"0.05\", expect_size=\"38059008\"] \n  15 -> 16 [size =\"38059008\"]\n  16 [size=\"67151360\", alpha=\"0.05\", expect_size=\"26860544\"] \n  16 -> 17 [size =\"26860544\"]\n  17 [size=\"114749440\", alpha=\"0.09\", expect_size=\"45899776\"] \n  17 -> 18 [size =\"45899776\"]\n  18 [size=\"74997760\", alpha=\"0.14\", expect_size=\"29999104\"] \n  18 -> 19 [size =\"29999104\"]\n  19 [size=\"131041280\", alpha=\"0.20\", expect_size=\"52416512\"] \n  19 -> 20 [size =\"52416512\"]\n  20 [size=\"127188480\", alpha=\"0.13\", expect_size=\"50875392\"] \n  20 -> 21 [size =\"50875392\"]\n  21 [size=\"120634880\", alpha=\"0.10\", expect_size=\"48253952\"] \n  21 -> 22 [size =\"48253952\"]\n  22 [size=\"87413760\", alpha=\"0.08\", expect_size=\"34965504\"] \n  22 -> 23 [size =\"34965504\"]\n  23 [size=\"63582720\", alpha=\"0.10\", expect_size=\"25433088\"] \n  23 -> 24 [size =\"25433088\"]\n  24 [size=\"93790720\", alpha=\"0.17\", expect_size=\"37516288\"] \n  24 -> 25 [size =\"37516288\"]\n  25 [size=\"127920640\", alpha=\"0.12\", expect_size=\"51168256\"] \n  25 -> 26 [size =\"51168256\"]\n  26 [size=\"40693760\", alpha=\"0.15\", expect_size=\"16277504\"] \n  26 -> 27 [size =\"16277504\"]\n  27 [size=\"71324160\", alpha=\"0.11\", expect_size=\"28529664\"] \n  27 -> 28 [size =\"28529664\"]\n  28 [size=\"121940480\", alpha=\"0.20\", expect_size=\"48776192\"] \n  28 -> 29 [size =\"48776192\"]\n  29 [size=\"85373440\", alpha=\"0.05\", expect_size=\"34149376\"] \n  29 -> 30 [size =\"34149376\"]\n  30 [size=\"84864000\", alpha=\"0.03\", expect_size=\"33945600\"] \n  30 -> 31 [size =\"33945600\"]\n  31 [size=\"40785920\", alpha=\"0.08\", expect_size=\"16314368\"] \n  31 -> 32 [size =\"16314368\"]\n  32 [size=\"99427840\", alpha=\"0.18\", expect_size=\"39771136\"] \n  32 -> 33 [size =\"39771136\"]\n  33 [size=\"27770880\", alpha=\"0.12\", expect_size=\"11108352\"] \n  33 -> 34 [size =\"11108352\"]\n  34 [size=\"88983040\", alpha=\"0.20\", expect_size=\"35593216\"] \n  34 -> 35 [size =\"35593216\"]\n  35 [size=\"73991680\", alpha=\"0.02\", expect_size=\"29596672\"] \n  35 -> 36 [size =\"29596672\"]\n  36 [size=\"29255680\", alpha=\"0.14\", expect_size=\"11702272\"] \n  36 -> 37 [size =\"11702272\"]\n  37 [size=\"119557120\", alpha=\"0.03\", expect_size=\"47822848\"] \n  37 -> 38 [size =\"47822848\"]\n  38 [size=\"63874560\", alpha=\"0.02\", expect_size=\"25549824\"] \n  38 -> 39 [size =\"25549824\"]\n  39 [size=\"63418880\", alpha=\"0.01\", expect_size=\"25367552\"] \n  39 -> 40 [size =\"25367552\"]\n  40 [size=\"95639040\", alpha=\"0.20\", expect_size=\"38255616\"] \n  40 -> 41 [size =\"38255616\"]\n  41 [size=\"114626560\", alpha=\"0.16\", expect_size=\"45850624\"] \n  41 -> 42 [size =\"45850624\"]\n  42 [size=\"43788800\", alpha=\"0.06\", expect_size=\"17515520\"] \n  42 -> 43 [size =\"17515520\"]\n  43 [size=\"33958400\", alpha=\"0.04\", expect_size=\"13583360\"] \n  43 -> 44 [size =\"13583360\"]\n  44 [size=\"102100480\", alpha=\"0.15\", expect_size=\"40840192\"] \n  44 -> 45 [size =\"40840192\"]\n  45 [size=\"101969920\", alpha=\"0.06\", expect_size=\"40787968\"] \n  45 -> 46 [size =\"40787968\"]\n  46 [size=\"115609600\", alpha=\"0.02\", expect_size=\"46243840\"] \n  46 -> 47 [size =\"46243840\"]\n  47 [size=\"79098880\", alpha=\"0.08\", expect_size=\"31639552\"] \n  47 -> 48 [size =\"31639552\"]\n  48 [size=\"94077440\", alpha=\"0.12\", expect_size=\"37630976\"] \n  48 -> 49 [size =\"37630976\"]\n  49 [size=\"104478720\", alpha=\"0.08\", expect_size=\"41791488\"] \n  49 -> 50 [size =\"41791488\"]\n  50 [size=\"110272000\", alpha=\"0.17\", expect_size=\"44108800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.722.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68063232\", alpha=\"0.19\", expect_size=\"34031616\"] \n  1 -> 30 [size =\"34031616\"]\n  1 -> 31 [size =\"34031616\"]\n  1 -> 32 [size =\"34031616\"]\n  1 -> 36 [size =\"34031616\"]\n  1 -> 37 [size =\"34031616\"]\n  1 -> 37 [size =\"34031616\"]\n  1 -> 38 [size =\"34031616\"]\n  1 -> 40 [size =\"34031616\"]\n  1 -> 41 [size =\"34031616\"]\n  1 -> 45 [size =\"34031616\"]\n  1 -> 46 [size =\"34031616\"]\n  2 [size=\"81317888\", alpha=\"0.05\", expect_size=\"40658944\"] \n  2 -> 30 [size =\"40658944\"]\n  2 -> 31 [size =\"40658944\"]\n  2 -> 32 [size =\"40658944\"]\n  2 -> 34 [size =\"40658944\"]\n  2 -> 36 [size =\"40658944\"]\n  2 -> 37 [size =\"40658944\"]\n  2 -> 38 [size =\"40658944\"]\n  2 -> 41 [size =\"40658944\"]\n  2 -> 44 [size =\"40658944\"]\n  2 -> 45 [size =\"40658944\"]\n  2 -> 47 [size =\"40658944\"]\n  2 -> 50 [size =\"40658944\"]\n  3 [size=\"78895104\", alpha=\"0.09\", expect_size=\"39447552\"] \n  3 -> 30 [size =\"39447552\"]\n  3 -> 32 [size =\"39447552\"]\n  3 -> 33 [size =\"39447552\"]\n  3 -> 36 [size =\"39447552\"]\n  3 -> 38 [size =\"39447552\"]\n  3 -> 41 [size =\"39447552\"]\n  3 -> 44 [size =\"39447552\"]\n  3 -> 45 [size =\"39447552\"]\n  3 -> 47 [size =\"39447552\"]\n  3 -> 48 [size =\"39447552\"]\n  3 -> 49 [size =\"39447552\"]\n  3 -> 50 [size =\"39447552\"]\n  4 [size=\"92678144\", alpha=\"0.01\", expect_size=\"46339072\"] \n  4 -> 30 [size =\"46339072\"]\n  4 -> 34 [size =\"46339072\"]\n  4 -> 36 [size =\"46339072\"]\n  4 -> 44 [size =\"46339072\"]\n  4 -> 45 [size =\"46339072\"]\n  4 -> 47 [size =\"46339072\"]\n  4 -> 49 [size =\"46339072\"]\n  4 -> 50 [size =\"46339072\"]\n  5 [size=\"72542208\", alpha=\"0.13\", expect_size=\"36271104\"] \n  5 -> 30 [size =\"36271104\"]\n  5 -> 31 [size =\"36271104\"]\n  5 -> 34 [size =\"36271104\"]\n  5 -> 35 [size =\"36271104\"]\n  5 -> 38 [size =\"36271104\"]\n  5 -> 40 [size =\"36271104\"]\n  5 -> 47 [size =\"36271104\"]\n  5 -> 49 [size =\"36271104\"]\n  5 -> 50 [size =\"36271104\"]\n  6 [size=\"58333184\", alpha=\"0.15\", expect_size=\"29166592\"] \n  6 -> 34 [size =\"29166592\"]\n  6 -> 44 [size =\"29166592\"]\n  6 -> 45 [size =\"29166592\"]\n  6 -> 47 [size =\"29166592\"]\n  6 -> 50 [size =\"29166592\"]\n  7 [size=\"98686976\", alpha=\"0.04\", expect_size=\"49343488\"] \n  7 -> 32 [size =\"49343488\"]\n  7 -> 33 [size =\"49343488\"]\n  7 -> 36 [size =\"49343488\"]\n  7 -> 38 [size =\"49343488\"]\n  7 -> 46 [size =\"49343488\"]\n  7 -> 47 [size =\"49343488\"]\n  7 -> 49 [size =\"49343488\"]\n  7 -> 50 [size =\"49343488\"]\n  8 [size=\"61485056\", alpha=\"0.13\", expect_size=\"30742528\"] \n  8 -> 30 [size =\"30742528\"]\n  8 -> 36 [size =\"30742528\"]\n  8 -> 37 [size =\"30742528\"]\n  8 -> 38 [size =\"30742528\"]\n  8 -> 42 [size =\"30742528\"]\n  8 -> 46 [size =\"30742528\"]\n  8 -> 47 [size =\"30742528\"]\n  9 [size=\"37838848\", alpha=\"0.03\", expect_size=\"18919424\"] \n  9 -> 33 [size =\"18919424\"]\n  9 -> 34 [size =\"18919424\"]\n  9 -> 36 [size =\"18919424\"]\n  9 -> 42 [size =\"18919424\"]\n  9 -> 48 [size =\"18919424\"]\n  9 -> 50 [size =\"18919424\"]\n  10 [size=\"28780544\", alpha=\"0.11\", expect_size=\"14390272\"] \n  10 -> 32 [size =\"14390272\"]\n  10 -> 36 [size =\"14390272\"]\n  10 -> 38 [size =\"14390272\"]\n  10 -> 39 [size =\"14390272\"]\n  10 -> 40 [size =\"14390272\"]\n  10 -> 44 [size =\"14390272\"]\n  10 -> 45 [size =\"14390272\"]\n  10 -> 47 [size =\"14390272\"]\n  10 -> 50 [size =\"14390272\"]\n  11 [size=\"93722624\", alpha=\"0.11\", expect_size=\"46861312\"] \n  11 -> 32 [size =\"46861312\"]\n  11 -> 33 [size =\"46861312\"]\n  11 -> 36 [size =\"46861312\"]\n  11 -> 38 [size =\"46861312\"]\n  11 -> 41 [size =\"46861312\"]\n  11 -> 44 [size =\"46861312\"]\n  11 -> 47 [size =\"46861312\"]\n  11 -> 50 [size =\"46861312\"]\n  12 [size=\"89634816\", alpha=\"0.19\", expect_size=\"44817408\"] \n  12 -> 30 [size =\"44817408\"]\n  12 -> 31 [size =\"44817408\"]\n  12 -> 32 [size =\"44817408\"]\n  12 -> 33 [size =\"44817408\"]\n  12 -> 34 [size =\"44817408\"]\n  12 -> 35 [size =\"44817408\"]\n  12 -> 36 [size =\"44817408\"]\n  12 -> 38 [size =\"44817408\"]\n  12 -> 41 [size =\"44817408\"]\n  12 -> 44 [size =\"44817408\"]\n  12 -> 47 [size =\"44817408\"]\n  12 -> 48 [size =\"44817408\"]\n  12 -> 49 [size =\"44817408\"]\n  12 -> 50 [size =\"44817408\"]\n  13 [size=\"17082368\", alpha=\"0.20\", expect_size=\"8541184\"] \n  13 -> 30 [size =\"8541184\"]\n  13 -> 32 [size =\"8541184\"]\n  13 -> 32 [size =\"8541184\"]\n  13 -> 33 [size =\"8541184\"]\n  13 -> 34 [size =\"8541184\"]\n  13 -> 35 [size =\"8541184\"]\n  13 -> 36 [size =\"8541184\"]\n  13 -> 37 [size =\"8541184\"]\n  13 -> 40 [size =\"8541184\"]\n  13 -> 46 [size =\"8541184\"]\n  13 -> 49 [size =\"8541184\"]\n  13 -> 50 [size =\"8541184\"]\n  14 [size=\"58431488\", alpha=\"0.16\", expect_size=\"29215744\"] \n  14 -> 30 [size =\"29215744\"]\n  14 -> 31 [size =\"29215744\"]\n  14 -> 32 [size =\"29215744\"]\n  14 -> 34 [size =\"29215744\"]\n  14 -> 34 [size =\"29215744\"]\n  14 -> 35 [size =\"29215744\"]\n  14 -> 36 [size =\"29215744\"]\n  14 -> 43 [size =\"29215744\"]\n  14 -> 45 [size =\"29215744\"]\n  14 -> 46 [size =\"29215744\"]\n  14 -> 47 [size =\"29215744\"]\n  14 -> 50 [size =\"29215744\"]\n  15 [size=\"63563776\", alpha=\"0.08\", expect_size=\"31781888\"] \n  15 -> 30 [size =\"31781888\"]\n  15 -> 31 [size =\"31781888\"]\n  15 -> 32 [size =\"31781888\"]\n  15 -> 33 [size =\"31781888\"]\n  15 -> 34 [size =\"31781888\"]\n  15 -> 36 [size =\"31781888\"]\n  15 -> 40 [size =\"31781888\"]\n  15 -> 41 [size =\"31781888\"]\n  15 -> 43 [size =\"31781888\"]\n  15 -> 45 [size =\"31781888\"]\n  15 -> 47 [size =\"31781888\"]\n  15 -> 49 [size =\"31781888\"]\n  15 -> 50 [size =\"31781888\"]\n  16 [size=\"29605888\", alpha=\"0.04\", expect_size=\"14802944\"] \n  16 -> 30 [size =\"14802944\"]\n  16 -> 31 [size =\"14802944\"]\n  16 -> 32 [size =\"14802944\"]\n  16 -> 33 [size =\"14802944\"]\n  16 -> 34 [size =\"14802944\"]\n  16 -> 36 [size =\"14802944\"]\n  16 -> 37 [size =\"14802944\"]\n  16 -> 38 [size =\"14802944\"]\n  16 -> 44 [size =\"14802944\"]\n  16 -> 46 [size =\"14802944\"]\n  16 -> 49 [size =\"14802944\"]\n  17 [size=\"98914304\", alpha=\"0.10\", expect_size=\"49457152\"] \n  17 -> 31 [size =\"49457152\"]\n  17 -> 32 [size =\"49457152\"]\n  17 -> 32 [size =\"49457152\"]\n  17 -> 35 [size =\"49457152\"]\n  17 -> 36 [size =\"49457152\"]\n  17 -> 44 [size =\"49457152\"]\n  17 -> 49 [size =\"49457152\"]\n  17 -> 50 [size =\"49457152\"]\n  18 [size=\"21944320\", alpha=\"0.18\", expect_size=\"10972160\"] \n  18 -> 30 [size =\"10972160\"]\n  18 -> 31 [size =\"10972160\"]\n  18 -> 33 [size =\"10972160\"]\n  18 -> 36 [size =\"10972160\"]\n  18 -> 40 [size =\"10972160\"]\n  18 -> 41 [size =\"10972160\"]\n  18 -> 44 [size =\"10972160\"]\n  18 -> 46 [size =\"10972160\"]\n  18 -> 47 [size =\"10972160\"]\n  19 [size=\"83959808\", alpha=\"0.10\", expect_size=\"41979904\"] \n  19 -> 30 [size =\"41979904\"]\n  19 -> 31 [size =\"41979904\"]\n  19 -> 33 [size =\"41979904\"]\n  19 -> 35 [size =\"41979904\"]\n  19 -> 38 [size =\"41979904\"]\n  19 -> 41 [size =\"41979904\"]\n  19 -> 43 [size =\"41979904\"]\n  19 -> 44 [size =\"41979904\"]\n  19 -> 45 [size =\"41979904\"]\n  19 -> 47 [size =\"41979904\"]\n  19 -> 49 [size =\"41979904\"]\n  20 [size=\"100155392\", alpha=\"0.01\", expect_size=\"50077696\"] \n  20 -> 31 [size =\"50077696\"]\n  20 -> 34 [size =\"50077696\"]\n  20 -> 41 [size =\"50077696\"]\n  20 -> 44 [size =\"50077696\"]\n  20 -> 46 [size =\"50077696\"]\n  20 -> 47 [size =\"50077696\"]\n  21 [size=\"58114048\", alpha=\"0.04\", expect_size=\"29057024\"] \n  21 -> 31 [size =\"29057024\"]\n  21 -> 33 [size =\"29057024\"]\n  21 -> 34 [size =\"29057024\"]\n  21 -> 48 [size =\"29057024\"]\n  21 -> 49 [size =\"29057024\"]\n  22 [size=\"13529088\", alpha=\"0.01\", expect_size=\"6764544\"] \n  22 -> 30 [size =\"6764544\"]\n  22 -> 33 [size =\"6764544\"]\n  22 -> 34 [size =\"6764544\"]\n  22 -> 36 [size =\"6764544\"]\n  22 -> 37 [size =\"6764544\"]\n  22 -> 43 [size =\"6764544\"]\n  22 -> 46 [size =\"6764544\"]\n  22 -> 49 [size =\"6764544\"]\n  23 [size=\"104337408\", alpha=\"0.14\", expect_size=\"52168704\"] \n  23 -> 33 [size =\"52168704\"]\n  23 -> 35 [size =\"52168704\"]\n  23 -> 39 [size =\"52168704\"]\n  23 -> 41 [size =\"52168704\"]\n  23 -> 44 [size =\"52168704\"]\n  23 -> 45 [size =\"52168704\"]\n  23 -> 46 [size =\"52168704\"]\n  23 -> 47 [size =\"52168704\"]\n  23 -> 49 [size =\"52168704\"]\n  23 -> 50 [size =\"52168704\"]\n  24 [size=\"103606272\", alpha=\"0.03\", expect_size=\"51803136\"] \n  24 -> 30 [size =\"51803136\"]\n  24 -> 31 [size =\"51803136\"]\n  24 -> 32 [size =\"51803136\"]\n  24 -> 36 [size =\"51803136\"]\n  24 -> 37 [size =\"51803136\"]\n  24 -> 38 [size =\"51803136\"]\n  24 -> 39 [size =\"51803136\"]\n  24 -> 40 [size =\"51803136\"]\n  24 -> 47 [size =\"51803136\"]\n  24 -> 48 [size =\"51803136\"]\n  24 -> 49 [size =\"51803136\"]\n  25 [size=\"84948992\", alpha=\"0.06\", expect_size=\"42474496\"] \n  25 -> 30 [size =\"42474496\"]\n  25 -> 31 [size =\"42474496\"]\n  25 -> 32 [size =\"42474496\"]\n  25 -> 36 [size =\"42474496\"]\n  25 -> 37 [size =\"42474496\"]\n  25 -> 38 [size =\"42474496\"]\n  25 -> 40 [size =\"42474496\"]\n  25 -> 40 [size =\"42474496\"]\n  25 -> 42 [size =\"42474496\"]\n  25 -> 45 [size =\"42474496\"]\n  25 -> 49 [size =\"42474496\"]\n  25 -> 50 [size =\"42474496\"]\n  26 [size=\"29339648\", alpha=\"0.19\", expect_size=\"14669824\"] \n  26 -> 30 [size =\"14669824\"]\n  26 -> 31 [size =\"14669824\"]\n  26 -> 36 [size =\"14669824\"]\n  26 -> 36 [size =\"14669824\"]\n  26 -> 37 [size =\"14669824\"]\n  26 -> 38 [size =\"14669824\"]\n  26 -> 39 [size =\"14669824\"]\n  26 -> 42 [size =\"14669824\"]\n  26 -> 44 [size =\"14669824\"]\n  26 -> 46 [size =\"14669824\"]\n  26 -> 49 [size =\"14669824\"]\n  26 -> 50 [size =\"14669824\"]\n  27 [size=\"50448384\", alpha=\"0.11\", expect_size=\"25224192\"] \n  27 -> 31 [size =\"25224192\"]\n  27 -> 31 [size =\"25224192\"]\n  27 -> 34 [size =\"25224192\"]\n  27 -> 37 [size =\"25224192\"]\n  27 -> 38 [size =\"25224192\"]\n  27 -> 38 [size =\"25224192\"]\n  27 -> 44 [size =\"25224192\"]\n  27 -> 45 [size =\"25224192\"]\n  27 -> 49 [size =\"25224192\"]\n  27 -> 50 [size =\"25224192\"]\n  28 [size=\"98230272\", alpha=\"0.13\", expect_size=\"49115136\"] \n  28 -> 30 [size =\"49115136\"]\n  28 -> 31 [size =\"49115136\"]\n  28 -> 34 [size =\"49115136\"]\n  28 -> 35 [size =\"49115136\"]\n  28 -> 38 [size =\"49115136\"]\n  28 -> 40 [size =\"49115136\"]\n  28 -> 44 [size =\"49115136\"]\n  28 -> 45 [size =\"49115136\"]\n  28 -> 46 [size =\"49115136\"]\n  28 -> 47 [size =\"49115136\"]\n  28 -> 48 [size =\"49115136\"]\n  28 -> 49 [size =\"49115136\"]\n  28 -> 50 [size =\"49115136\"]\n  29 [size=\"87521280\", alpha=\"0.02\", expect_size=\"43760640\"] \n  29 -> 30 [size =\"43760640\"]\n  29 -> 31 [size =\"43760640\"]\n  29 -> 32 [size =\"43760640\"]\n  29 -> 34 [size =\"43760640\"]\n  29 -> 35 [size =\"43760640\"]\n  29 -> 37 [size =\"43760640\"]\n  29 -> 38 [size =\"43760640\"]\n  29 -> 40 [size =\"43760640\"]\n  29 -> 41 [size =\"43760640\"]\n  29 -> 45 [size =\"43760640\"]\n  29 -> 50 [size =\"43760640\"]\n  30 [size=\"41222144\", alpha=\"0.14\", expect_size=\"20611072\"] \n  31 [size=\"44752896\", alpha=\"0.03\", expect_size=\"22376448\"] \n  32 [size=\"61319168\", alpha=\"0.10\", expect_size=\"30659584\"] \n  33 [size=\"67387392\", alpha=\"0.18\", expect_size=\"33693696\"] \n  34 [size=\"36990976\", alpha=\"0.16\", expect_size=\"18495488\"] \n  35 [size=\"52326400\", alpha=\"0.06\", expect_size=\"26163200\"] \n  36 [size=\"81080320\", alpha=\"0.19\", expect_size=\"40540160\"] \n  37 [size=\"76728320\", alpha=\"0.11\", expect_size=\"38364160\"] \n  38 [size=\"33103872\", alpha=\"0.06\", expect_size=\"16551936\"] \n  39 [size=\"95576064\", alpha=\"0.16\", expect_size=\"47788032\"] \n  40 [size=\"102754304\", alpha=\"0.05\", expect_size=\"51377152\"] \n  41 [size=\"72935424\", alpha=\"0.04\", expect_size=\"36467712\"] \n  42 [size=\"89358336\", alpha=\"0.04\", expect_size=\"44679168\"] \n  43 [size=\"42426368\", alpha=\"0.04\", expect_size=\"21213184\"] \n  44 [size=\"33112064\", alpha=\"0.04\", expect_size=\"16556032\"] \n  45 [size=\"14989312\", alpha=\"0.19\", expect_size=\"7494656\"] \n  46 [size=\"41136128\", alpha=\"0.18\", expect_size=\"20568064\"] \n  47 [size=\"36304896\", alpha=\"0.06\", expect_size=\"18152448\"] \n  48 [size=\"88922112\", alpha=\"0.12\", expect_size=\"44461056\"] \n  49 [size=\"21702656\", alpha=\"0.15\", expect_size=\"10851328\"] \n  50 [size=\"96868352\", alpha=\"0.04\", expect_size=\"48434176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.723.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67446784\", alpha=\"0.07\", expect_size=\"33723392\"] \n  1 -> 4 [size =\"33723392\"]\n  2 [size=\"22996992\", alpha=\"0.11\", expect_size=\"11498496\"] \n  2 -> 3 [size =\"11498496\"]\n  2 -> 4 [size =\"11498496\"]\n  3 [size=\"93302784\", alpha=\"0.16\", expect_size=\"46651392\"] \n  3 -> 5 [size =\"46651392\"]\n  4 [size=\"103184384\", alpha=\"0.00\", expect_size=\"51592192\"] \n  4 -> 5 [size =\"51592192\"]\n  4 -> 6 [size =\"51592192\"]\n  5 [size=\"67280896\", alpha=\"0.04\", expect_size=\"33640448\"] \n  5 -> 7 [size =\"33640448\"]\n  5 -> 8 [size =\"33640448\"]\n  5 -> 9 [size =\"33640448\"]\n  6 [size=\"82812928\", alpha=\"0.11\", expect_size=\"41406464\"] \n  6 -> 7 [size =\"41406464\"]\n  7 [size=\"102541312\", alpha=\"0.15\", expect_size=\"51270656\"] \n  7 -> 11 [size =\"51270656\"]\n  7 -> 12 [size =\"51270656\"]\n  8 [size=\"19933184\", alpha=\"0.19\", expect_size=\"9966592\"] \n  8 -> 10 [size =\"9966592\"]\n  8 -> 11 [size =\"9966592\"]\n  9 [size=\"23937024\", alpha=\"0.10\", expect_size=\"11968512\"] \n  9 -> 11 [size =\"11968512\"]\n  9 -> 12 [size =\"11968512\"]\n  10 [size=\"44453888\", alpha=\"0.01\", expect_size=\"22226944\"] \n  10 -> 13 [size =\"22226944\"]\n  11 [size=\"83435520\", alpha=\"0.08\", expect_size=\"41717760\"] \n  11 -> 13 [size =\"41717760\"]\n  12 [size=\"23603200\", alpha=\"0.02\", expect_size=\"11801600\"] \n  12 -> 13 [size =\"11801600\"]\n  12 -> 14 [size =\"11801600\"]\n  13 [size=\"75114496\", alpha=\"0.19\", expect_size=\"37557248\"] \n  13 -> 15 [size =\"37557248\"]\n  14 [size=\"56084480\", alpha=\"0.16\", expect_size=\"28042240\"] \n  14 -> 15 [size =\"28042240\"]\n  14 -> 16 [size =\"28042240\"]\n  15 [size=\"58068992\", alpha=\"0.10\", expect_size=\"29034496\"] \n  15 -> 17 [size =\"29034496\"]\n  15 -> 18 [size =\"29034496\"]\n  15 -> 19 [size =\"29034496\"]\n  16 [size=\"78987264\", alpha=\"0.01\", expect_size=\"39493632\"] \n  16 -> 17 [size =\"39493632\"]\n  16 -> 19 [size =\"39493632\"]\n  17 [size=\"38150144\", alpha=\"0.00\", expect_size=\"19075072\"] \n  17 -> 20 [size =\"19075072\"]\n  17 -> 21 [size =\"19075072\"]\n  18 [size=\"16752640\", alpha=\"0.03\", expect_size=\"8376320\"] \n  18 -> 20 [size =\"8376320\"]\n  18 -> 21 [size =\"8376320\"]\n  19 [size=\"104230912\", alpha=\"0.07\", expect_size=\"52115456\"] \n  19 -> 20 [size =\"52115456\"]\n  19 -> 21 [size =\"52115456\"]\n  20 [size=\"54900736\", alpha=\"0.01\", expect_size=\"27450368\"] \n  20 -> 22 [size =\"27450368\"]\n  20 -> 23 [size =\"27450368\"]\n  21 [size=\"61841408\", alpha=\"0.08\", expect_size=\"30920704\"] \n  21 -> 22 [size =\"30920704\"]\n  21 -> 23 [size =\"30920704\"]\n  22 [size=\"97282048\", alpha=\"0.17\", expect_size=\"48641024\"] \n  22 -> 24 [size =\"48641024\"]\n  22 -> 25 [size =\"48641024\"]\n  23 [size=\"13010944\", alpha=\"0.04\", expect_size=\"6505472\"] \n  23 -> 24 [size =\"6505472\"]\n  24 [size=\"103026688\", alpha=\"0.11\", expect_size=\"51513344\"] \n  24 -> 27 [size =\"51513344\"]\n  25 [size=\"85911552\", alpha=\"0.09\", expect_size=\"42955776\"] \n  25 -> 26 [size =\"42955776\"]\n  25 -> 27 [size =\"42955776\"]\n  26 [size=\"39905280\", alpha=\"0.03\", expect_size=\"19952640\"] \n  26 -> 28 [size =\"19952640\"]\n  26 -> 29 [size =\"19952640\"]\n  27 [size=\"42987520\", alpha=\"0.16\", expect_size=\"21493760\"] \n  27 -> 29 [size =\"21493760\"]\n  28 [size=\"44503040\", alpha=\"0.12\", expect_size=\"22251520\"] \n  28 -> 30 [size =\"22251520\"]\n  28 -> 31 [size =\"22251520\"]\n  29 [size=\"60043264\", alpha=\"0.10\", expect_size=\"30021632\"] \n  29 -> 31 [size =\"30021632\"]\n  30 [size=\"90773504\", alpha=\"0.15\", expect_size=\"45386752\"] \n  30 -> 32 [size =\"45386752\"]\n  30 -> 33 [size =\"45386752\"]\n  31 [size=\"96028672\", alpha=\"0.16\", expect_size=\"48014336\"] \n  31 -> 32 [size =\"48014336\"]\n  31 -> 33 [size =\"48014336\"]\n  32 [size=\"38400000\", alpha=\"0.00\", expect_size=\"19200000\"] \n  32 -> 34 [size =\"19200000\"]\n  32 -> 35 [size =\"19200000\"]\n  33 [size=\"24770560\", alpha=\"0.17\", expect_size=\"12385280\"] \n  33 -> 34 [size =\"12385280\"]\n  33 -> 35 [size =\"12385280\"]\n  34 [size=\"43585536\", alpha=\"0.04\", expect_size=\"21792768\"] \n  34 -> 36 [size =\"21792768\"]\n  34 -> 37 [size =\"21792768\"]\n  35 [size=\"93173760\", alpha=\"0.02\", expect_size=\"46586880\"] \n  35 -> 36 [size =\"46586880\"]\n  35 -> 37 [size =\"46586880\"]\n  36 [size=\"41586688\", alpha=\"0.13\", expect_size=\"20793344\"] \n  36 -> 38 [size =\"20793344\"]\n  36 -> 39 [size =\"20793344\"]\n  36 -> 40 [size =\"20793344\"]\n  37 [size=\"55521280\", alpha=\"0.11\", expect_size=\"27760640\"] \n  37 -> 38 [size =\"27760640\"]\n  37 -> 39 [size =\"27760640\"]\n  37 -> 40 [size =\"27760640\"]\n  38 [size=\"38293504\", alpha=\"0.10\", expect_size=\"19146752\"] \n  39 [size=\"93722624\", alpha=\"0.08\", expect_size=\"46861312\"] \n  39 -> 42 [size =\"46861312\"]\n  40 [size=\"46516224\", alpha=\"0.16\", expect_size=\"23258112\"] \n  40 -> 41 [size =\"23258112\"]\n  41 [size=\"25016320\", alpha=\"0.15\", expect_size=\"12508160\"] \n  41 -> 43 [size =\"12508160\"]\n  41 -> 44 [size =\"12508160\"]\n  41 -> 45 [size =\"12508160\"]\n  42 [size=\"102174720\", alpha=\"0.13\", expect_size=\"51087360\"] \n  42 -> 43 [size =\"51087360\"]\n  42 -> 44 [size =\"51087360\"]\n  42 -> 45 [size =\"51087360\"]\n  43 [size=\"102361088\", alpha=\"0.11\", expect_size=\"51180544\"] \n  43 -> 46 [size =\"51180544\"]\n  43 -> 47 [size =\"51180544\"]\n  44 [size=\"90210304\", alpha=\"0.08\", expect_size=\"45105152\"] \n  44 -> 46 [size =\"45105152\"]\n  44 -> 47 [size =\"45105152\"]\n  44 -> 48 [size =\"45105152\"]\n  45 [size=\"16945152\", alpha=\"0.02\", expect_size=\"8472576\"] \n  45 -> 47 [size =\"8472576\"]\n  46 [size=\"24524800\", alpha=\"0.02\", expect_size=\"12262400\"] \n  46 -> 49 [size =\"12262400\"]\n  47 [size=\"87078912\", alpha=\"0.08\", expect_size=\"43539456\"] \n  48 [size=\"43530240\", alpha=\"0.02\", expect_size=\"21765120\"] \n  48 -> 50 [size =\"21765120\"]\n  49 [size=\"88887296\", alpha=\"0.07\", expect_size=\"44443648\"] \n  50 [size=\"33783808\", alpha=\"0.08\", expect_size=\"16891904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.724.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94643200\", alpha=\"0.08\", expect_size=\"37857280\"] \n  1 -> 20 [size =\"37857280\"]\n  1 -> 21 [size =\"37857280\"]\n  1 -> 22 [size =\"37857280\"]\n  1 -> 24 [size =\"37857280\"]\n  1 -> 27 [size =\"37857280\"]\n  1 -> 30 [size =\"37857280\"]\n  1 -> 30 [size =\"37857280\"]\n  1 -> 31 [size =\"37857280\"]\n  2 [size=\"61393920\", alpha=\"0.07\", expect_size=\"24557568\"] \n  2 -> 20 [size =\"24557568\"]\n  2 -> 22 [size =\"24557568\"]\n  2 -> 22 [size =\"24557568\"]\n  2 -> 24 [size =\"24557568\"]\n  2 -> 26 [size =\"24557568\"]\n  2 -> 30 [size =\"24557568\"]\n  2 -> 31 [size =\"24557568\"]\n  3 [size=\"127964160\", alpha=\"0.18\", expect_size=\"51185664\"] \n  3 -> 20 [size =\"51185664\"]\n  3 -> 21 [size =\"51185664\"]\n  3 -> 22 [size =\"51185664\"]\n  3 -> 26 [size =\"51185664\"]\n  3 -> 27 [size =\"51185664\"]\n  3 -> 29 [size =\"51185664\"]\n  3 -> 31 [size =\"51185664\"]\n  4 [size=\"102607360\", alpha=\"0.09\", expect_size=\"41042944\"] \n  4 -> 21 [size =\"41042944\"]\n  4 -> 22 [size =\"41042944\"]\n  4 -> 22 [size =\"41042944\"]\n  4 -> 26 [size =\"41042944\"]\n  4 -> 27 [size =\"41042944\"]\n  4 -> 30 [size =\"41042944\"]\n  4 -> 31 [size =\"41042944\"]\n  5 [size=\"55982080\", alpha=\"0.12\", expect_size=\"22392832\"] \n  5 -> 20 [size =\"22392832\"]\n  5 -> 21 [size =\"22392832\"]\n  5 -> 22 [size =\"22392832\"]\n  5 -> 26 [size =\"22392832\"]\n  5 -> 27 [size =\"22392832\"]\n  5 -> 31 [size =\"22392832\"]\n  5 -> 31 [size =\"22392832\"]\n  6 [size=\"57738240\", alpha=\"0.10\", expect_size=\"23095296\"] \n  6 -> 20 [size =\"23095296\"]\n  6 -> 21 [size =\"23095296\"]\n  6 -> 22 [size =\"23095296\"]\n  6 -> 24 [size =\"23095296\"]\n  6 -> 26 [size =\"23095296\"]\n  6 -> 27 [size =\"23095296\"]\n  6 -> 29 [size =\"23095296\"]\n  6 -> 31 [size =\"23095296\"]\n  7 [size=\"71144960\", alpha=\"0.06\", expect_size=\"28457984\"] \n  7 -> 20 [size =\"28457984\"]\n  7 -> 23 [size =\"28457984\"]\n  7 -> 24 [size =\"28457984\"]\n  7 -> 26 [size =\"28457984\"]\n  7 -> 27 [size =\"28457984\"]\n  7 -> 30 [size =\"28457984\"]\n  7 -> 31 [size =\"28457984\"]\n  8 [size=\"80417280\", alpha=\"0.18\", expect_size=\"32166912\"] \n  8 -> 20 [size =\"32166912\"]\n  8 -> 23 [size =\"32166912\"]\n  8 -> 24 [size =\"32166912\"]\n  8 -> 26 [size =\"32166912\"]\n  8 -> 27 [size =\"32166912\"]\n  8 -> 31 [size =\"32166912\"]\n  9 [size=\"17592320\", alpha=\"0.00\", expect_size=\"7036928\"] \n  9 -> 20 [size =\"7036928\"]\n  9 -> 21 [size =\"7036928\"]\n  9 -> 23 [size =\"7036928\"]\n  9 -> 24 [size =\"7036928\"]\n  9 -> 27 [size =\"7036928\"]\n  9 -> 28 [size =\"7036928\"]\n  9 -> 29 [size =\"7036928\"]\n  9 -> 31 [size =\"7036928\"]\n  10 [size=\"113922560\", alpha=\"0.07\", expect_size=\"45569024\"] \n  10 -> 20 [size =\"45569024\"]\n  10 -> 21 [size =\"45569024\"]\n  10 -> 22 [size =\"45569024\"]\n  10 -> 25 [size =\"45569024\"]\n  10 -> 27 [size =\"45569024\"]\n  10 -> 30 [size =\"45569024\"]\n  10 -> 31 [size =\"45569024\"]\n  10 -> 31 [size =\"45569024\"]\n  11 [size=\"25917440\", alpha=\"0.09\", expect_size=\"10366976\"] \n  11 -> 20 [size =\"10366976\"]\n  11 -> 21 [size =\"10366976\"]\n  11 -> 22 [size =\"10366976\"]\n  11 -> 26 [size =\"10366976\"]\n  11 -> 27 [size =\"10366976\"]\n  11 -> 30 [size =\"10366976\"]\n  12 [size=\"70709760\", alpha=\"0.08\", expect_size=\"28283904\"] \n  12 -> 20 [size =\"28283904\"]\n  12 -> 21 [size =\"28283904\"]\n  12 -> 23 [size =\"28283904\"]\n  12 -> 24 [size =\"28283904\"]\n  12 -> 26 [size =\"28283904\"]\n  12 -> 27 [size =\"28283904\"]\n  12 -> 30 [size =\"28283904\"]\n  13 [size=\"114378240\", alpha=\"0.09\", expect_size=\"45751296\"] \n  13 -> 20 [size =\"45751296\"]\n  13 -> 21 [size =\"45751296\"]\n  13 -> 22 [size =\"45751296\"]\n  13 -> 26 [size =\"45751296\"]\n  13 -> 30 [size =\"45751296\"]\n  13 -> 31 [size =\"45751296\"]\n  14 [size=\"104642560\", alpha=\"0.11\", expect_size=\"41857024\"] \n  14 -> 20 [size =\"41857024\"]\n  14 -> 21 [size =\"41857024\"]\n  14 -> 22 [size =\"41857024\"]\n  14 -> 26 [size =\"41857024\"]\n  14 -> 27 [size =\"41857024\"]\n  14 -> 31 [size =\"41857024\"]\n  15 [size=\"39764480\", alpha=\"0.12\", expect_size=\"15905792\"] \n  15 -> 21 [size =\"15905792\"]\n  15 -> 21 [size =\"15905792\"]\n  15 -> 29 [size =\"15905792\"]\n  16 [size=\"109373440\", alpha=\"0.17\", expect_size=\"43749376\"] \n  16 -> 21 [size =\"43749376\"]\n  16 -> 22 [size =\"43749376\"]\n  16 -> 24 [size =\"43749376\"]\n  16 -> 30 [size =\"43749376\"]\n  17 [size=\"51002880\", alpha=\"0.18\", expect_size=\"20401152\"] \n  17 -> 22 [size =\"20401152\"]\n  17 -> 22 [size =\"20401152\"]\n  17 -> 23 [size =\"20401152\"]\n  17 -> 24 [size =\"20401152\"]\n  17 -> 26 [size =\"20401152\"]\n  17 -> 27 [size =\"20401152\"]\n  17 -> 29 [size =\"20401152\"]\n  17 -> 30 [size =\"20401152\"]\n  17 -> 31 [size =\"20401152\"]\n  18 [size=\"87075840\", alpha=\"0.00\", expect_size=\"34830336\"] \n  18 -> 21 [size =\"34830336\"]\n  18 -> 22 [size =\"34830336\"]\n  18 -> 24 [size =\"34830336\"]\n  18 -> 25 [size =\"34830336\"]\n  18 -> 26 [size =\"34830336\"]\n  18 -> 27 [size =\"34830336\"]\n  18 -> 30 [size =\"34830336\"]\n  18 -> 30 [size =\"34830336\"]\n  18 -> 31 [size =\"34830336\"]\n  19 [size=\"76907520\", alpha=\"0.09\", expect_size=\"30763008\"] \n  19 -> 20 [size =\"30763008\"]\n  19 -> 21 [size =\"30763008\"]\n  19 -> 22 [size =\"30763008\"]\n  19 -> 23 [size =\"30763008\"]\n  19 -> 27 [size =\"30763008\"]\n  19 -> 27 [size =\"30763008\"]\n  19 -> 30 [size =\"30763008\"]\n  20 [size=\"77260800\", alpha=\"0.05\", expect_size=\"30904320\"] \n  20 -> 32 [size =\"30904320\"]\n  20 -> 34 [size =\"30904320\"]\n  20 -> 39 [size =\"30904320\"]\n  20 -> 40 [size =\"30904320\"]\n  20 -> 42 [size =\"30904320\"]\n  20 -> 43 [size =\"30904320\"]\n  21 [size=\"115683840\", alpha=\"0.14\", expect_size=\"46273536\"] \n  21 -> 34 [size =\"46273536\"]\n  21 -> 36 [size =\"46273536\"]\n  21 -> 40 [size =\"46273536\"]\n  21 -> 42 [size =\"46273536\"]\n  22 [size=\"52188160\", alpha=\"0.12\", expect_size=\"20875264\"] \n  22 -> 32 [size =\"20875264\"]\n  22 -> 34 [size =\"20875264\"]\n  22 -> 36 [size =\"20875264\"]\n  22 -> 40 [size =\"20875264\"]\n  23 [size=\"100666880\", alpha=\"0.10\", expect_size=\"40266752\"] \n  23 -> 34 [size =\"40266752\"]\n  23 -> 34 [size =\"40266752\"]\n  23 -> 36 [size =\"40266752\"]\n  23 -> 38 [size =\"40266752\"]\n  23 -> 41 [size =\"40266752\"]\n  23 -> 43 [size =\"40266752\"]\n  24 [size=\"33651200\", alpha=\"0.02\", expect_size=\"13460480\"] \n  24 -> 35 [size =\"13460480\"]\n  24 -> 36 [size =\"13460480\"]\n  24 -> 36 [size =\"13460480\"]\n  24 -> 38 [size =\"13460480\"]\n  24 -> 40 [size =\"13460480\"]\n  24 -> 41 [size =\"13460480\"]\n  24 -> 42 [size =\"13460480\"]\n  25 [size=\"99517440\", alpha=\"0.02\", expect_size=\"39806976\"] \n  25 -> 32 [size =\"39806976\"]\n  25 -> 33 [size =\"39806976\"]\n  25 -> 36 [size =\"39806976\"]\n  25 -> 38 [size =\"39806976\"]\n  25 -> 39 [size =\"39806976\"]\n  25 -> 40 [size =\"39806976\"]\n  25 -> 42 [size =\"39806976\"]\n  26 [size=\"55252480\", alpha=\"0.09\", expect_size=\"22100992\"] \n  26 -> 32 [size =\"22100992\"]\n  26 -> 34 [size =\"22100992\"]\n  26 -> 36 [size =\"22100992\"]\n  26 -> 37 [size =\"22100992\"]\n  26 -> 39 [size =\"22100992\"]\n  26 -> 40 [size =\"22100992\"]\n  26 -> 41 [size =\"22100992\"]\n  26 -> 42 [size =\"22100992\"]\n  27 [size=\"37667840\", alpha=\"0.06\", expect_size=\"15067136\"] \n  27 -> 33 [size =\"15067136\"]\n  27 -> 34 [size =\"15067136\"]\n  27 -> 35 [size =\"15067136\"]\n  27 -> 36 [size =\"15067136\"]\n  27 -> 39 [size =\"15067136\"]\n  27 -> 40 [size =\"15067136\"]\n  27 -> 42 [size =\"15067136\"]\n  27 -> 42 [size =\"15067136\"]\n  28 [size=\"23216640\", alpha=\"0.15\", expect_size=\"9286656\"] \n  28 -> 32 [size =\"9286656\"]\n  28 -> 34 [size =\"9286656\"]\n  28 -> 36 [size =\"9286656\"]\n  28 -> 36 [size =\"9286656\"]\n  28 -> 38 [size =\"9286656\"]\n  28 -> 40 [size =\"9286656\"]\n  28 -> 42 [size =\"9286656\"]\n  29 [size=\"24089600\", alpha=\"0.04\", expect_size=\"9635840\"] \n  29 -> 32 [size =\"9635840\"]\n  29 -> 33 [size =\"9635840\"]\n  29 -> 34 [size =\"9635840\"]\n  29 -> 38 [size =\"9635840\"]\n  29 -> 40 [size =\"9635840\"]\n  29 -> 40 [size =\"9635840\"]\n  29 -> 42 [size =\"9635840\"]\n  30 [size=\"77964800\", alpha=\"0.10\", expect_size=\"31185920\"] \n  30 -> 33 [size =\"31185920\"]\n  30 -> 34 [size =\"31185920\"]\n  30 -> 38 [size =\"31185920\"]\n  30 -> 42 [size =\"31185920\"]\n  30 -> 43 [size =\"31185920\"]\n  31 [size=\"106892800\", alpha=\"0.19\", expect_size=\"42757120\"] \n  31 -> 32 [size =\"42757120\"]\n  31 -> 36 [size =\"42757120\"]\n  31 -> 40 [size =\"42757120\"]\n  31 -> 42 [size =\"42757120\"]\n  32 [size=\"74449920\", alpha=\"0.17\", expect_size=\"29779968\"] \n  32 -> 45 [size =\"29779968\"]\n  32 -> 47 [size =\"29779968\"]\n  32 -> 48 [size =\"29779968\"]\n  32 -> 49 [size =\"29779968\"]\n  32 -> 50 [size =\"29779968\"]\n  33 [size=\"28922880\", alpha=\"0.13\", expect_size=\"11569152\"] \n  33 -> 45 [size =\"11569152\"]\n  33 -> 47 [size =\"11569152\"]\n  33 -> 48 [size =\"11569152\"]\n  33 -> 50 [size =\"11569152\"]\n  34 [size=\"85168640\", alpha=\"0.04\", expect_size=\"34067456\"] \n  34 -> 44 [size =\"34067456\"]\n  34 -> 47 [size =\"34067456\"]\n  34 -> 48 [size =\"34067456\"]\n  34 -> 49 [size =\"34067456\"]\n  35 [size=\"96757760\", alpha=\"0.19\", expect_size=\"38703104\"] \n  35 -> 44 [size =\"38703104\"]\n  35 -> 45 [size =\"38703104\"]\n  35 -> 47 [size =\"38703104\"]\n  35 -> 49 [size =\"38703104\"]\n  36 [size=\"106570240\", alpha=\"0.11\", expect_size=\"42628096\"] \n  36 -> 45 [size =\"42628096\"]\n  36 -> 47 [size =\"42628096\"]\n  36 -> 49 [size =\"42628096\"]\n  37 [size=\"41269760\", alpha=\"0.09\", expect_size=\"16507904\"] \n  37 -> 44 [size =\"16507904\"]\n  37 -> 47 [size =\"16507904\"]\n  38 [size=\"76864000\", alpha=\"0.20\", expect_size=\"30745600\"] \n  38 -> 45 [size =\"30745600\"]\n  38 -> 46 [size =\"30745600\"]\n  38 -> 47 [size =\"30745600\"]\n  38 -> 49 [size =\"30745600\"]\n  39 [size=\"44730880\", alpha=\"0.02\", expect_size=\"17892352\"] \n  39 -> 47 [size =\"17892352\"]\n  40 [size=\"67322880\", alpha=\"0.14\", expect_size=\"26929152\"] \n  40 -> 45 [size =\"26929152\"]\n  40 -> 47 [size =\"26929152\"]\n  40 -> 48 [size =\"26929152\"]\n  41 [size=\"127490560\", alpha=\"0.04\", expect_size=\"50996224\"] \n  41 -> 44 [size =\"50996224\"]\n  41 -> 48 [size =\"50996224\"]\n  41 -> 49 [size =\"50996224\"]\n  42 [size=\"120084480\", alpha=\"0.00\", expect_size=\"48033792\"] \n  42 -> 45 [size =\"48033792\"]\n  42 -> 48 [size =\"48033792\"]\n  42 -> 49 [size =\"48033792\"]\n  43 [size=\"102704640\", alpha=\"0.12\", expect_size=\"41081856\"] \n  43 -> 45 [size =\"41081856\"]\n  43 -> 49 [size =\"41081856\"]\n  43 -> 49 [size =\"41081856\"]\n  44 [size=\"58659840\", alpha=\"0.07\", expect_size=\"23463936\"] \n  45 [size=\"79482880\", alpha=\"0.16\", expect_size=\"31793152\"] \n  46 [size=\"73876480\", alpha=\"0.13\", expect_size=\"29550592\"] \n  47 [size=\"20134400\", alpha=\"0.14\", expect_size=\"8053760\"] \n  48 [size=\"74122240\", alpha=\"0.16\", expect_size=\"29648896\"] \n  49 [size=\"73881600\", alpha=\"0.01\", expect_size=\"29552640\"] \n  50 [size=\"83210240\", alpha=\"0.16\", expect_size=\"33284096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.725.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"26936320\", alpha=\"0.11\", expect_size=\"10774528\"] \n  1 -> 2 [size =\"10774528\"]\n  2 [size=\"15971840\", alpha=\"0.16\", expect_size=\"6388736\"] \n  2 -> 3 [size =\"6388736\"]\n  3 [size=\"79800320\", alpha=\"0.03\", expect_size=\"31920128\"] \n  3 -> 4 [size =\"31920128\"]\n  4 [size=\"107860480\", alpha=\"0.18\", expect_size=\"43144192\"] \n  4 -> 5 [size =\"43144192\"]\n  5 [size=\"81282560\", alpha=\"0.11\", expect_size=\"32513024\"] \n  5 -> 6 [size =\"32513024\"]\n  6 [size=\"42708480\", alpha=\"0.16\", expect_size=\"17083392\"] \n  6 -> 7 [size =\"17083392\"]\n  7 [size=\"16706560\", alpha=\"0.13\", expect_size=\"6682624\"] \n  7 -> 8 [size =\"6682624\"]\n  8 [size=\"55019520\", alpha=\"0.06\", expect_size=\"22007808\"] \n  8 -> 9 [size =\"22007808\"]\n  9 [size=\"120076800\", alpha=\"0.02\", expect_size=\"48030720\"] \n  9 -> 10 [size =\"48030720\"]\n  10 [size=\"111633920\", alpha=\"0.19\", expect_size=\"44653568\"] \n  10 -> 11 [size =\"44653568\"]\n  11 [size=\"42485760\", alpha=\"0.14\", expect_size=\"16994304\"] \n  11 -> 12 [size =\"16994304\"]\n  12 [size=\"105912320\", alpha=\"0.15\", expect_size=\"42364928\"] \n  12 -> 13 [size =\"42364928\"]\n  13 [size=\"84003840\", alpha=\"0.16\", expect_size=\"33601536\"] \n  13 -> 14 [size =\"33601536\"]\n  14 [size=\"99601920\", alpha=\"0.10\", expect_size=\"39840768\"] \n  14 -> 15 [size =\"39840768\"]\n  15 [size=\"85688320\", alpha=\"0.18\", expect_size=\"34275328\"] \n  15 -> 16 [size =\"34275328\"]\n  16 [size=\"33968640\", alpha=\"0.12\", expect_size=\"13587456\"] \n  16 -> 17 [size =\"13587456\"]\n  17 [size=\"130772480\", alpha=\"0.13\", expect_size=\"52308992\"] \n  17 -> 18 [size =\"52308992\"]\n  18 [size=\"88519680\", alpha=\"0.10\", expect_size=\"35407872\"] \n  18 -> 19 [size =\"35407872\"]\n  19 [size=\"125086720\", alpha=\"0.10\", expect_size=\"50034688\"] \n  19 -> 20 [size =\"50034688\"]\n  20 [size=\"17766400\", alpha=\"0.19\", expect_size=\"7106560\"] \n  20 -> 21 [size =\"7106560\"]\n  21 [size=\"14023680\", alpha=\"0.10\", expect_size=\"5609472\"] \n  21 -> 22 [size =\"5609472\"]\n  22 [size=\"99005440\", alpha=\"0.01\", expect_size=\"39602176\"] \n  22 -> 23 [size =\"39602176\"]\n  23 [size=\"68940800\", alpha=\"0.04\", expect_size=\"27576320\"] \n  23 -> 24 [size =\"27576320\"]\n  24 [size=\"48176640\", alpha=\"0.02\", expect_size=\"19270656\"] \n  24 -> 25 [size =\"19270656\"]\n  25 [size=\"105446400\", alpha=\"0.13\", expect_size=\"42178560\"] \n  25 -> 26 [size =\"42178560\"]\n  26 [size=\"93237760\", alpha=\"0.08\", expect_size=\"37295104\"] \n  26 -> 27 [size =\"37295104\"]\n  27 [size=\"48207360\", alpha=\"0.04\", expect_size=\"19282944\"] \n  27 -> 28 [size =\"19282944\"]\n  28 [size=\"125201920\", alpha=\"0.07\", expect_size=\"50080768\"] \n  28 -> 29 [size =\"50080768\"]\n  29 [size=\"65722880\", alpha=\"0.08\", expect_size=\"26289152\"] \n  29 -> 30 [size =\"26289152\"]\n  30 [size=\"126389760\", alpha=\"0.06\", expect_size=\"50555904\"] \n  30 -> 31 [size =\"50555904\"]\n  31 [size=\"119380480\", alpha=\"0.09\", expect_size=\"47752192\"] \n  31 -> 32 [size =\"47752192\"]\n  32 [size=\"58524160\", alpha=\"0.07\", expect_size=\"23409664\"] \n  32 -> 33 [size =\"23409664\"]\n  33 [size=\"64652800\", alpha=\"0.18\", expect_size=\"25861120\"] \n  33 -> 34 [size =\"25861120\"]\n  34 [size=\"86494720\", alpha=\"0.03\", expect_size=\"34597888\"] \n  34 -> 35 [size =\"34597888\"]\n  35 [size=\"100840960\", alpha=\"0.01\", expect_size=\"40336384\"] \n  35 -> 36 [size =\"40336384\"]\n  36 [size=\"57902080\", alpha=\"0.02\", expect_size=\"23160832\"] \n  36 -> 37 [size =\"23160832\"]\n  37 [size=\"105246720\", alpha=\"0.03\", expect_size=\"42098688\"] \n  37 -> 38 [size =\"42098688\"]\n  38 [size=\"128512000\", alpha=\"0.17\", expect_size=\"51404800\"] \n  38 -> 39 [size =\"51404800\"]\n  39 [size=\"51645440\", alpha=\"0.10\", expect_size=\"20658176\"] \n  39 -> 40 [size =\"20658176\"]\n  40 [size=\"99584000\", alpha=\"0.03\", expect_size=\"39833600\"] \n  40 -> 41 [size =\"39833600\"]\n  41 [size=\"16962560\", alpha=\"0.17\", expect_size=\"6785024\"] \n  41 -> 42 [size =\"6785024\"]\n  42 [size=\"69086720\", alpha=\"0.05\", expect_size=\"27634688\"] \n  42 -> 43 [size =\"27634688\"]\n  43 [size=\"112837120\", alpha=\"0.03\", expect_size=\"45134848\"] \n  43 -> 44 [size =\"45134848\"]\n  44 [size=\"101145600\", alpha=\"0.07\", expect_size=\"40458240\"] \n  44 -> 45 [size =\"40458240\"]\n  45 [size=\"120506880\", alpha=\"0.06\", expect_size=\"48202752\"] \n  45 -> 46 [size =\"48202752\"]\n  46 [size=\"125544960\", alpha=\"0.19\", expect_size=\"50217984\"] \n  46 -> 47 [size =\"50217984\"]\n  47 [size=\"19151360\", alpha=\"0.18\", expect_size=\"7660544\"] \n  47 -> 48 [size =\"7660544\"]\n  48 [size=\"36963840\", alpha=\"0.16\", expect_size=\"14785536\"] \n  48 -> 49 [size =\"14785536\"]\n  49 [size=\"18462720\", alpha=\"0.03\", expect_size=\"7385088\"] \n  49 -> 50 [size =\"7385088\"]\n  50 [size=\"75627520\", alpha=\"0.09\", expect_size=\"30251008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.726.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76316160\", alpha=\"0.19\", expect_size=\"30526464\"] \n  1 -> 29 [size =\"30526464\"]\n  1 -> 30 [size =\"30526464\"]\n  1 -> 32 [size =\"30526464\"]\n  1 -> 37 [size =\"30526464\"]\n  1 -> 38 [size =\"30526464\"]\n  1 -> 39 [size =\"30526464\"]\n  1 -> 40 [size =\"30526464\"]\n  1 -> 42 [size =\"30526464\"]\n  1 -> 43 [size =\"30526464\"]\n  1 -> 48 [size =\"30526464\"]\n  1 -> 50 [size =\"30526464\"]\n  2 [size=\"74718720\", alpha=\"0.12\", expect_size=\"29887488\"] \n  2 -> 29 [size =\"29887488\"]\n  2 -> 30 [size =\"29887488\"]\n  2 -> 31 [size =\"29887488\"]\n  2 -> 35 [size =\"29887488\"]\n  2 -> 36 [size =\"29887488\"]\n  2 -> 37 [size =\"29887488\"]\n  2 -> 42 [size =\"29887488\"]\n  2 -> 43 [size =\"29887488\"]\n  2 -> 48 [size =\"29887488\"]\n  2 -> 50 [size =\"29887488\"]\n  3 [size=\"33707520\", alpha=\"0.10\", expect_size=\"13483008\"] \n  3 -> 30 [size =\"13483008\"]\n  3 -> 31 [size =\"13483008\"]\n  3 -> 33 [size =\"13483008\"]\n  3 -> 36 [size =\"13483008\"]\n  3 -> 37 [size =\"13483008\"]\n  3 -> 39 [size =\"13483008\"]\n  3 -> 41 [size =\"13483008\"]\n  3 -> 44 [size =\"13483008\"]\n  3 -> 48 [size =\"13483008\"]\n  4 [size=\"92462080\", alpha=\"0.19\", expect_size=\"36984832\"] \n  4 -> 29 [size =\"36984832\"]\n  4 -> 30 [size =\"36984832\"]\n  4 -> 31 [size =\"36984832\"]\n  4 -> 37 [size =\"36984832\"]\n  4 -> 38 [size =\"36984832\"]\n  4 -> 39 [size =\"36984832\"]\n  4 -> 40 [size =\"36984832\"]\n  4 -> 42 [size =\"36984832\"]\n  4 -> 47 [size =\"36984832\"]\n  4 -> 48 [size =\"36984832\"]\n  5 [size=\"83630080\", alpha=\"0.12\", expect_size=\"33452032\"] \n  5 -> 30 [size =\"33452032\"]\n  5 -> 31 [size =\"33452032\"]\n  5 -> 34 [size =\"33452032\"]\n  5 -> 35 [size =\"33452032\"]\n  5 -> 38 [size =\"33452032\"]\n  5 -> 39 [size =\"33452032\"]\n  5 -> 41 [size =\"33452032\"]\n  5 -> 46 [size =\"33452032\"]\n  5 -> 49 [size =\"33452032\"]\n  6 [size=\"87367680\", alpha=\"0.01\", expect_size=\"34947072\"] \n  6 -> 29 [size =\"34947072\"]\n  6 -> 34 [size =\"34947072\"]\n  6 -> 37 [size =\"34947072\"]\n  6 -> 38 [size =\"34947072\"]\n  6 -> 38 [size =\"34947072\"]\n  6 -> 39 [size =\"34947072\"]\n  7 [size=\"74792960\", alpha=\"0.06\", expect_size=\"29917184\"] \n  7 -> 29 [size =\"29917184\"]\n  7 -> 34 [size =\"29917184\"]\n  7 -> 37 [size =\"29917184\"]\n  7 -> 38 [size =\"29917184\"]\n  7 -> 39 [size =\"29917184\"]\n  7 -> 46 [size =\"29917184\"]\n  7 -> 50 [size =\"29917184\"]\n  8 [size=\"74444800\", alpha=\"0.10\", expect_size=\"29777920\"] \n  8 -> 29 [size =\"29777920\"]\n  8 -> 32 [size =\"29777920\"]\n  8 -> 34 [size =\"29777920\"]\n  8 -> 35 [size =\"29777920\"]\n  8 -> 36 [size =\"29777920\"]\n  8 -> 38 [size =\"29777920\"]\n  8 -> 46 [size =\"29777920\"]\n  9 [size=\"128709120\", alpha=\"0.19\", expect_size=\"51483648\"] \n  9 -> 29 [size =\"51483648\"]\n  9 -> 32 [size =\"51483648\"]\n  9 -> 33 [size =\"51483648\"]\n  9 -> 34 [size =\"51483648\"]\n  9 -> 36 [size =\"51483648\"]\n  9 -> 38 [size =\"51483648\"]\n  9 -> 40 [size =\"51483648\"]\n  9 -> 44 [size =\"51483648\"]\n  9 -> 45 [size =\"51483648\"]\n  9 -> 50 [size =\"51483648\"]\n  10 [size=\"97827840\", alpha=\"0.04\", expect_size=\"39131136\"] \n  10 -> 29 [size =\"39131136\"]\n  10 -> 30 [size =\"39131136\"]\n  10 -> 31 [size =\"39131136\"]\n  10 -> 32 [size =\"39131136\"]\n  10 -> 33 [size =\"39131136\"]\n  10 -> 34 [size =\"39131136\"]\n  10 -> 38 [size =\"39131136\"]\n  10 -> 40 [size =\"39131136\"]\n  10 -> 44 [size =\"39131136\"]\n  10 -> 45 [size =\"39131136\"]\n  10 -> 50 [size =\"39131136\"]\n  11 [size=\"97203200\", alpha=\"0.04\", expect_size=\"38881280\"] \n  11 -> 34 [size =\"38881280\"]\n  11 -> 35 [size =\"38881280\"]\n  11 -> 37 [size =\"38881280\"]\n  11 -> 38 [size =\"38881280\"]\n  11 -> 41 [size =\"38881280\"]\n  11 -> 42 [size =\"38881280\"]\n  11 -> 46 [size =\"38881280\"]\n  11 -> 50 [size =\"38881280\"]\n  12 [size=\"89095680\", alpha=\"0.11\", expect_size=\"35638272\"] \n  12 -> 31 [size =\"35638272\"]\n  12 -> 32 [size =\"35638272\"]\n  12 -> 35 [size =\"35638272\"]\n  12 -> 39 [size =\"35638272\"]\n  12 -> 42 [size =\"35638272\"]\n  12 -> 43 [size =\"35638272\"]\n  12 -> 46 [size =\"35638272\"]\n  12 -> 49 [size =\"35638272\"]\n  12 -> 50 [size =\"35638272\"]\n  13 [size=\"41244160\", alpha=\"0.05\", expect_size=\"16497664\"] \n  13 -> 31 [size =\"16497664\"]\n  13 -> 33 [size =\"16497664\"]\n  13 -> 35 [size =\"16497664\"]\n  13 -> 38 [size =\"16497664\"]\n  13 -> 40 [size =\"16497664\"]\n  13 -> 44 [size =\"16497664\"]\n  13 -> 46 [size =\"16497664\"]\n  13 -> 48 [size =\"16497664\"]\n  13 -> 50 [size =\"16497664\"]\n  14 [size=\"102307840\", alpha=\"0.06\", expect_size=\"40923136\"] \n  14 -> 29 [size =\"40923136\"]\n  14 -> 30 [size =\"40923136\"]\n  14 -> 32 [size =\"40923136\"]\n  14 -> 37 [size =\"40923136\"]\n  14 -> 38 [size =\"40923136\"]\n  14 -> 39 [size =\"40923136\"]\n  14 -> 40 [size =\"40923136\"]\n  14 -> 42 [size =\"40923136\"]\n  14 -> 44 [size =\"40923136\"]\n  14 -> 46 [size =\"40923136\"]\n  15 [size=\"99164160\", alpha=\"0.02\", expect_size=\"39665664\"] \n  15 -> 30 [size =\"39665664\"]\n  15 -> 35 [size =\"39665664\"]\n  15 -> 37 [size =\"39665664\"]\n  15 -> 38 [size =\"39665664\"]\n  15 -> 42 [size =\"39665664\"]\n  15 -> 43 [size =\"39665664\"]\n  15 -> 45 [size =\"39665664\"]\n  15 -> 46 [size =\"39665664\"]\n  15 -> 48 [size =\"39665664\"]\n  15 -> 50 [size =\"39665664\"]\n  16 [size=\"51886080\", alpha=\"0.09\", expect_size=\"20754432\"] \n  16 -> 31 [size =\"20754432\"]\n  16 -> 33 [size =\"20754432\"]\n  16 -> 34 [size =\"20754432\"]\n  16 -> 39 [size =\"20754432\"]\n  16 -> 40 [size =\"20754432\"]\n  16 -> 41 [size =\"20754432\"]\n  16 -> 42 [size =\"20754432\"]\n  16 -> 46 [size =\"20754432\"]\n  17 [size=\"56271360\", alpha=\"0.14\", expect_size=\"22508544\"] \n  17 -> 32 [size =\"22508544\"]\n  17 -> 33 [size =\"22508544\"]\n  17 -> 37 [size =\"22508544\"]\n  17 -> 39 [size =\"22508544\"]\n  17 -> 41 [size =\"22508544\"]\n  17 -> 46 [size =\"22508544\"]\n  17 -> 48 [size =\"22508544\"]\n  18 [size=\"93698560\", alpha=\"0.09\", expect_size=\"37479424\"] \n  18 -> 37 [size =\"37479424\"]\n  18 -> 38 [size =\"37479424\"]\n  18 -> 39 [size =\"37479424\"]\n  18 -> 41 [size =\"37479424\"]\n  18 -> 46 [size =\"37479424\"]\n  19 [size=\"35292160\", alpha=\"0.13\", expect_size=\"14116864\"] \n  19 -> 29 [size =\"14116864\"]\n  19 -> 30 [size =\"14116864\"]\n  19 -> 32 [size =\"14116864\"]\n  19 -> 34 [size =\"14116864\"]\n  19 -> 35 [size =\"14116864\"]\n  19 -> 36 [size =\"14116864\"]\n  19 -> 37 [size =\"14116864\"]\n  19 -> 42 [size =\"14116864\"]\n  19 -> 43 [size =\"14116864\"]\n  19 -> 44 [size =\"14116864\"]\n  19 -> 46 [size =\"14116864\"]\n  19 -> 47 [size =\"14116864\"]\n  19 -> 50 [size =\"14116864\"]\n  20 [size=\"26882560\", alpha=\"0.03\", expect_size=\"10753024\"] \n  20 -> 29 [size =\"10753024\"]\n  20 -> 33 [size =\"10753024\"]\n  20 -> 34 [size =\"10753024\"]\n  20 -> 42 [size =\"10753024\"]\n  20 -> 43 [size =\"10753024\"]\n  20 -> 46 [size =\"10753024\"]\n  21 [size=\"48455680\", alpha=\"0.03\", expect_size=\"19382272\"] \n  21 -> 29 [size =\"19382272\"]\n  21 -> 32 [size =\"19382272\"]\n  21 -> 36 [size =\"19382272\"]\n  21 -> 42 [size =\"19382272\"]\n  21 -> 44 [size =\"19382272\"]\n  21 -> 50 [size =\"19382272\"]\n  22 [size=\"74644480\", alpha=\"0.14\", expect_size=\"29857792\"] \n  22 -> 29 [size =\"29857792\"]\n  22 -> 33 [size =\"29857792\"]\n  22 -> 34 [size =\"29857792\"]\n  22 -> 36 [size =\"29857792\"]\n  22 -> 38 [size =\"29857792\"]\n  22 -> 39 [size =\"29857792\"]\n  22 -> 40 [size =\"29857792\"]\n  22 -> 41 [size =\"29857792\"]\n  22 -> 42 [size =\"29857792\"]\n  22 -> 43 [size =\"29857792\"]\n  22 -> 44 [size =\"29857792\"]\n  22 -> 45 [size =\"29857792\"]\n  22 -> 50 [size =\"29857792\"]\n  23 [size=\"21713920\", alpha=\"0.08\", expect_size=\"8685568\"] \n  23 -> 34 [size =\"8685568\"]\n  23 -> 36 [size =\"8685568\"]\n  23 -> 38 [size =\"8685568\"]\n  23 -> 39 [size =\"8685568\"]\n  23 -> 40 [size =\"8685568\"]\n  23 -> 42 [size =\"8685568\"]\n  23 -> 43 [size =\"8685568\"]\n  23 -> 44 [size =\"8685568\"]\n  23 -> 48 [size =\"8685568\"]\n  23 -> 50 [size =\"8685568\"]\n  24 [size=\"53163520\", alpha=\"0.16\", expect_size=\"21265408\"] \n  24 -> 29 [size =\"21265408\"]\n  24 -> 35 [size =\"21265408\"]\n  24 -> 38 [size =\"21265408\"]\n  24 -> 39 [size =\"21265408\"]\n  24 -> 41 [size =\"21265408\"]\n  24 -> 42 [size =\"21265408\"]\n  24 -> 43 [size =\"21265408\"]\n  24 -> 44 [size =\"21265408\"]\n  24 -> 45 [size =\"21265408\"]\n  24 -> 46 [size =\"21265408\"]\n  24 -> 48 [size =\"21265408\"]\n  24 -> 49 [size =\"21265408\"]\n  25 [size=\"88166400\", alpha=\"0.16\", expect_size=\"35266560\"] \n  25 -> 34 [size =\"35266560\"]\n  25 -> 35 [size =\"35266560\"]\n  25 -> 39 [size =\"35266560\"]\n  25 -> 39 [size =\"35266560\"]\n  25 -> 41 [size =\"35266560\"]\n  25 -> 43 [size =\"35266560\"]\n  25 -> 44 [size =\"35266560\"]\n  25 -> 44 [size =\"35266560\"]\n  25 -> 45 [size =\"35266560\"]\n  25 -> 46 [size =\"35266560\"]\n  25 -> 48 [size =\"35266560\"]\n  25 -> 50 [size =\"35266560\"]\n  26 [size=\"99243520\", alpha=\"0.08\", expect_size=\"39697408\"] \n  26 -> 29 [size =\"39697408\"]\n  26 -> 32 [size =\"39697408\"]\n  26 -> 33 [size =\"39697408\"]\n  26 -> 34 [size =\"39697408\"]\n  26 -> 35 [size =\"39697408\"]\n  26 -> 36 [size =\"39697408\"]\n  26 -> 40 [size =\"39697408\"]\n  26 -> 41 [size =\"39697408\"]\n  26 -> 44 [size =\"39697408\"]\n  26 -> 46 [size =\"39697408\"]\n  26 -> 48 [size =\"39697408\"]\n  26 -> 50 [size =\"39697408\"]\n  27 [size=\"36364800\", alpha=\"0.11\", expect_size=\"14545920\"] \n  27 -> 29 [size =\"14545920\"]\n  27 -> 30 [size =\"14545920\"]\n  27 -> 35 [size =\"14545920\"]\n  27 -> 37 [size =\"14545920\"]\n  27 -> 40 [size =\"14545920\"]\n  27 -> 41 [size =\"14545920\"]\n  27 -> 44 [size =\"14545920\"]\n  27 -> 45 [size =\"14545920\"]\n  27 -> 46 [size =\"14545920\"]\n  27 -> 48 [size =\"14545920\"]\n  27 -> 48 [size =\"14545920\"]\n  28 [size=\"119034880\", alpha=\"0.04\", expect_size=\"47613952\"] \n  28 -> 29 [size =\"47613952\"]\n  28 -> 30 [size =\"47613952\"]\n  28 -> 31 [size =\"47613952\"]\n  28 -> 32 [size =\"47613952\"]\n  28 -> 33 [size =\"47613952\"]\n  28 -> 34 [size =\"47613952\"]\n  28 -> 35 [size =\"47613952\"]\n  28 -> 37 [size =\"47613952\"]\n  28 -> 39 [size =\"47613952\"]\n  28 -> 40 [size =\"47613952\"]\n  28 -> 42 [size =\"47613952\"]\n  28 -> 43 [size =\"47613952\"]\n  28 -> 44 [size =\"47613952\"]\n  28 -> 48 [size =\"47613952\"]\n  29 [size=\"52807680\", alpha=\"0.17\", expect_size=\"21123072\"] \n  30 [size=\"129492480\", alpha=\"0.04\", expect_size=\"51796992\"] \n  31 [size=\"27463680\", alpha=\"0.06\", expect_size=\"10985472\"] \n  32 [size=\"45862400\", alpha=\"0.00\", expect_size=\"18344960\"] \n  33 [size=\"128337920\", alpha=\"0.19\", expect_size=\"51335168\"] \n  34 [size=\"59563520\", alpha=\"0.13\", expect_size=\"23825408\"] \n  35 [size=\"36856320\", alpha=\"0.02\", expect_size=\"14742528\"] \n  36 [size=\"130744320\", alpha=\"0.18\", expect_size=\"52297728\"] \n  37 [size=\"61591040\", alpha=\"0.00\", expect_size=\"24636416\"] \n  38 [size=\"127014400\", alpha=\"0.17\", expect_size=\"50805760\"] \n  39 [size=\"34462720\", alpha=\"0.17\", expect_size=\"13785088\"] \n  40 [size=\"17500160\", alpha=\"0.19\", expect_size=\"7000064\"] \n  41 [size=\"42885120\", alpha=\"0.08\", expect_size=\"17154048\"] \n  42 [size=\"76751360\", alpha=\"0.07\", expect_size=\"30700544\"] \n  43 [size=\"77122560\", alpha=\"0.07\", expect_size=\"30849024\"] \n  44 [size=\"72135680\", alpha=\"0.14\", expect_size=\"28854272\"] \n  45 [size=\"33029120\", alpha=\"0.14\", expect_size=\"13211648\"] \n  46 [size=\"45862400\", alpha=\"0.08\", expect_size=\"18344960\"] \n  47 [size=\"31447040\", alpha=\"0.07\", expect_size=\"12578816\"] \n  48 [size=\"32952320\", alpha=\"0.03\", expect_size=\"13180928\"] \n  49 [size=\"130972160\", alpha=\"0.06\", expect_size=\"52388864\"] \n  50 [size=\"111764480\", alpha=\"0.09\", expect_size=\"44705792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.727.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63105707\", alpha=\"0.11\", expect_size=\"18931712\"] \n  1 -> 7 [size =\"18931712\"]\n  1 -> 8 [size =\"18931712\"]\n  1 -> 9 [size =\"18931712\"]\n  1 -> 11 [size =\"18931712\"]\n  2 [size=\"96395947\", alpha=\"0.12\", expect_size=\"28918784\"] \n  2 -> 10 [size =\"28918784\"]\n  2 -> 11 [size =\"28918784\"]\n  2 -> 14 [size =\"28918784\"]\n  2 -> 15 [size =\"28918784\"]\n  3 [size=\"31191040\", alpha=\"0.19\", expect_size=\"9357312\"] \n  3 -> 10 [size =\"9357312\"]\n  3 -> 12 [size =\"9357312\"]\n  3 -> 13 [size =\"9357312\"]\n  4 [size=\"122105173\", alpha=\"0.07\", expect_size=\"36631552\"] \n  4 -> 7 [size =\"36631552\"]\n  4 -> 9 [size =\"36631552\"]\n  4 -> 14 [size =\"36631552\"]\n  5 [size=\"45151573\", alpha=\"0.15\", expect_size=\"13545472\"] \n  5 -> 8 [size =\"13545472\"]\n  5 -> 9 [size =\"13545472\"]\n  6 [size=\"138868053\", alpha=\"0.19\", expect_size=\"41660416\"] \n  6 -> 7 [size =\"41660416\"]\n  6 -> 8 [size =\"41660416\"]\n  6 -> 15 [size =\"41660416\"]\n  7 [size=\"160686080\", alpha=\"0.12\", expect_size=\"48205824\"] \n  7 -> 17 [size =\"48205824\"]\n  7 -> 23 [size =\"48205824\"]\n  8 [size=\"152500907\", alpha=\"0.02\", expect_size=\"45750272\"] \n  8 -> 20 [size =\"45750272\"]\n  9 [size=\"124603733\", alpha=\"0.05\", expect_size=\"37381120\"] \n  9 -> 17 [size =\"37381120\"]\n  10 [size=\"93358080\", alpha=\"0.07\", expect_size=\"28007424\"] \n  10 -> 18 [size =\"28007424\"]\n  10 -> 23 [size =\"28007424\"]\n  11 [size=\"122719573\", alpha=\"0.14\", expect_size=\"36815872\"] \n  11 -> 17 [size =\"36815872\"]\n  11 -> 18 [size =\"36815872\"]\n  11 -> 21 [size =\"36815872\"]\n  12 [size=\"50237440\", alpha=\"0.11\", expect_size=\"15071232\"] \n  12 -> 18 [size =\"15071232\"]\n  12 -> 21 [size =\"15071232\"]\n  12 -> 23 [size =\"15071232\"]\n  13 [size=\"141445120\", alpha=\"0.15\", expect_size=\"42433536\"] \n  13 -> 18 [size =\"42433536\"]\n  13 -> 20 [size =\"42433536\"]\n  14 [size=\"136082773\", alpha=\"0.01\", expect_size=\"40824832\"] \n  14 -> 16 [size =\"40824832\"]\n  14 -> 17 [size =\"40824832\"]\n  14 -> 18 [size =\"40824832\"]\n  14 -> 19 [size =\"40824832\"]\n  14 -> 20 [size =\"40824832\"]\n  14 -> 22 [size =\"40824832\"]\n  15 [size=\"36201813\", alpha=\"0.08\", expect_size=\"10860544\"] \n  15 -> 16 [size =\"10860544\"]\n  15 -> 22 [size =\"10860544\"]\n  16 [size=\"150674773\", alpha=\"0.02\", expect_size=\"45202432\"] \n  16 -> 25 [size =\"45202432\"]\n  16 -> 26 [size =\"45202432\"]\n  16 -> 27 [size =\"45202432\"]\n  17 [size=\"145851733\", alpha=\"0.04\", expect_size=\"43755520\"] \n  17 -> 26 [size =\"43755520\"]\n  17 -> 27 [size =\"43755520\"]\n  18 [size=\"86217387\", alpha=\"0.19\", expect_size=\"25865216\"] \n  19 [size=\"100887893\", alpha=\"0.06\", expect_size=\"30266368\"] \n  19 -> 24 [size =\"30266368\"]\n  20 [size=\"144063147\", alpha=\"0.13\", expect_size=\"43218944\"] \n  20 -> 25 [size =\"43218944\"]\n  21 [size=\"38406827\", alpha=\"0.06\", expect_size=\"11522048\"] \n  21 -> 25 [size =\"11522048\"]\n  21 -> 26 [size =\"11522048\"]\n  22 [size=\"151012693\", alpha=\"0.09\", expect_size=\"45303808\"] \n  22 -> 24 [size =\"45303808\"]\n  23 [size=\"80636587\", alpha=\"0.13\", expect_size=\"24190976\"] \n  23 -> 24 [size =\"24190976\"]\n  23 -> 27 [size =\"24190976\"]\n  24 [size=\"45076480\", alpha=\"0.11\", expect_size=\"13522944\"] \n  24 -> 34 [size =\"13522944\"]\n  25 [size=\"51309227\", alpha=\"0.12\", expect_size=\"15392768\"] \n  25 -> 29 [size =\"15392768\"]\n  25 -> 30 [size =\"15392768\"]\n  25 -> 32 [size =\"15392768\"]\n  25 -> 36 [size =\"15392768\"]\n  26 [size=\"112612693\", alpha=\"0.09\", expect_size=\"33783808\"] \n  26 -> 28 [size =\"33783808\"]\n  26 -> 31 [size =\"33783808\"]\n  26 -> 33 [size =\"33783808\"]\n  26 -> 34 [size =\"33783808\"]\n  27 [size=\"127784960\", alpha=\"0.04\", expect_size=\"38335488\"] \n  27 -> 28 [size =\"38335488\"]\n  27 -> 31 [size =\"38335488\"]\n  27 -> 33 [size =\"38335488\"]\n  27 -> 35 [size =\"38335488\"]\n  28 [size=\"160969387\", alpha=\"0.16\", expect_size=\"48290816\"] \n  28 -> 39 [size =\"48290816\"]\n  28 -> 43 [size =\"48290816\"]\n  28 -> 45 [size =\"48290816\"]\n  28 -> 46 [size =\"48290816\"]\n  29 [size=\"151982080\", alpha=\"0.02\", expect_size=\"45594624\"] \n  29 -> 38 [size =\"45594624\"]\n  29 -> 39 [size =\"45594624\"]\n  29 -> 43 [size =\"45594624\"]\n  29 -> 44 [size =\"45594624\"]\n  29 -> 45 [size =\"45594624\"]\n  29 -> 46 [size =\"45594624\"]\n  30 [size=\"44875093\", alpha=\"0.17\", expect_size=\"13462528\"] \n  30 -> 40 [size =\"13462528\"]\n  30 -> 46 [size =\"13462528\"]\n  31 [size=\"149145600\", alpha=\"0.06\", expect_size=\"44743680\"] \n  31 -> 41 [size =\"44743680\"]\n  31 -> 44 [size =\"44743680\"]\n  31 -> 46 [size =\"44743680\"]\n  32 [size=\"38570667\", alpha=\"0.19\", expect_size=\"11571200\"] \n  33 [size=\"106639360\", alpha=\"0.07\", expect_size=\"31991808\"] \n  33 -> 39 [size =\"31991808\"]\n  34 [size=\"52493653\", alpha=\"0.11\", expect_size=\"15748096\"] \n  34 -> 38 [size =\"15748096\"]\n  34 -> 39 [size =\"15748096\"]\n  34 -> 41 [size =\"15748096\"]\n  34 -> 42 [size =\"15748096\"]\n  34 -> 43 [size =\"15748096\"]\n  34 -> 45 [size =\"15748096\"]\n  35 [size=\"138059093\", alpha=\"0.17\", expect_size=\"41417728\"] \n  35 -> 37 [size =\"41417728\"]\n  35 -> 43 [size =\"41417728\"]\n  35 -> 45 [size =\"41417728\"]\n  36 [size=\"76431360\", alpha=\"0.00\", expect_size=\"22929408\"] \n  36 -> 37 [size =\"22929408\"]\n  36 -> 38 [size =\"22929408\"]\n  36 -> 41 [size =\"22929408\"]\n  36 -> 43 [size =\"22929408\"]\n  36 -> 45 [size =\"22929408\"]\n  37 [size=\"146295467\", alpha=\"0.20\", expect_size=\"43888640\"] \n  37 -> 48 [size =\"43888640\"]\n  37 -> 49 [size =\"43888640\"]\n  38 [size=\"19002027\", alpha=\"0.08\", expect_size=\"5700608\"] \n  38 -> 48 [size =\"5700608\"]\n  39 [size=\"144151893\", alpha=\"0.07\", expect_size=\"43245568\"] \n  39 -> 48 [size =\"43245568\"]\n  40 [size=\"157013333\", alpha=\"0.02\", expect_size=\"47104000\"] \n  40 -> 48 [size =\"47104000\"]\n  41 [size=\"133471573\", alpha=\"0.19\", expect_size=\"40041472\"] \n  41 -> 47 [size =\"40041472\"]\n  41 -> 48 [size =\"40041472\"]\n  41 -> 49 [size =\"40041472\"]\n  42 [size=\"21483520\", alpha=\"0.14\", expect_size=\"6445056\"] \n  43 [size=\"168383147\", alpha=\"0.16\", expect_size=\"50514944\"] \n  43 -> 49 [size =\"50514944\"]\n  44 [size=\"68997120\", alpha=\"0.02\", expect_size=\"20699136\"] \n  45 [size=\"156504747\", alpha=\"0.12\", expect_size=\"46951424\"] \n  45 -> 49 [size =\"46951424\"]\n  46 [size=\"135065600\", alpha=\"0.15\", expect_size=\"40519680\"] \n  46 -> 47 [size =\"40519680\"]\n  46 -> 49 [size =\"40519680\"]\n  47 [size=\"137874773\", alpha=\"0.11\", expect_size=\"41362432\"] \n  47 -> 50 [size =\"41362432\"]\n  48 [size=\"136024747\", alpha=\"0.06\", expect_size=\"40807424\"] \n  49 [size=\"40977067\", alpha=\"0.18\", expect_size=\"12293120\"] \n  49 -> 50 [size =\"12293120\"]\n  50 [size=\"93422933\", alpha=\"0.13\", expect_size=\"28026880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.728.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"109255680\", alpha=\"0.13\", expect_size=\"43702272\"] \n  1 -> 4 [size =\"43702272\"]\n  2 [size=\"14010880\", alpha=\"0.08\", expect_size=\"5604352\"] \n  2 -> 4 [size =\"5604352\"]\n  2 -> 6 [size =\"5604352\"]\n  3 [size=\"51176960\", alpha=\"0.06\", expect_size=\"20470784\"] \n  3 -> 5 [size =\"20470784\"]\n  3 -> 6 [size =\"20470784\"]\n  4 [size=\"128440320\", alpha=\"0.20\", expect_size=\"51376128\"] \n  4 -> 8 [size =\"51376128\"]\n  4 -> 9 [size =\"51376128\"]\n  5 [size=\"86837760\", alpha=\"0.06\", expect_size=\"34735104\"] \n  5 -> 7 [size =\"34735104\"]\n  6 [size=\"47623680\", alpha=\"0.01\", expect_size=\"19049472\"] \n  6 -> 9 [size =\"19049472\"]\n  7 [size=\"79994880\", alpha=\"0.02\", expect_size=\"31997952\"] \n  7 -> 11 [size =\"31997952\"]\n  8 [size=\"86502400\", alpha=\"0.15\", expect_size=\"34600960\"] \n  8 -> 10 [size =\"34600960\"]\n  8 -> 11 [size =\"34600960\"]\n  9 [size=\"107696640\", alpha=\"0.08\", expect_size=\"43078656\"] \n  9 -> 10 [size =\"43078656\"]\n  10 [size=\"27991040\", alpha=\"0.01\", expect_size=\"11196416\"] \n  10 -> 12 [size =\"11196416\"]\n  11 [size=\"49530880\", alpha=\"0.20\", expect_size=\"19812352\"] \n  11 -> 13 [size =\"19812352\"]\n  11 -> 14 [size =\"19812352\"]\n  12 [size=\"123343360\", alpha=\"0.03\", expect_size=\"49337344\"] \n  12 -> 16 [size =\"49337344\"]\n  13 [size=\"54717440\", alpha=\"0.12\", expect_size=\"21886976\"] \n  14 [size=\"89359360\", alpha=\"0.11\", expect_size=\"35743744\"] \n  14 -> 15 [size =\"35743744\"]\n  15 [size=\"86960640\", alpha=\"0.05\", expect_size=\"34784256\"] \n  15 -> 17 [size =\"34784256\"]\n  15 -> 19 [size =\"34784256\"]\n  16 [size=\"122027520\", alpha=\"0.07\", expect_size=\"48811008\"] \n  16 -> 18 [size =\"48811008\"]\n  17 [size=\"130096640\", alpha=\"0.17\", expect_size=\"52038656\"] \n  17 -> 20 [size =\"52038656\"]\n  18 [size=\"26263040\", alpha=\"0.03\", expect_size=\"10505216\"] \n  19 [size=\"115010560\", alpha=\"0.01\", expect_size=\"46004224\"] \n  19 -> 20 [size =\"46004224\"]\n  19 -> 21 [size =\"46004224\"]\n  20 [size=\"42455040\", alpha=\"0.03\", expect_size=\"16982016\"] \n  20 -> 23 [size =\"16982016\"]\n  21 [size=\"45721600\", alpha=\"0.00\", expect_size=\"18288640\"] \n  21 -> 22 [size =\"18288640\"]\n  22 [size=\"42808320\", alpha=\"0.18\", expect_size=\"17123328\"] \n  22 -> 24 [size =\"17123328\"]\n  22 -> 25 [size =\"17123328\"]\n  23 [size=\"57953280\", alpha=\"0.03\", expect_size=\"23181312\"] \n  24 [size=\"130967040\", alpha=\"0.07\", expect_size=\"52386816\"] \n  24 -> 27 [size =\"52386816\"]\n  25 [size=\"79705600\", alpha=\"0.03\", expect_size=\"31882240\"] \n  25 -> 26 [size =\"31882240\"]\n  26 [size=\"110236160\", alpha=\"0.05\", expect_size=\"44094464\"] \n  26 -> 28 [size =\"44094464\"]\n  26 -> 30 [size =\"44094464\"]\n  27 [size=\"34547200\", alpha=\"0.19\", expect_size=\"13818880\"] \n  27 -> 29 [size =\"13818880\"]\n  28 [size=\"17500160\", alpha=\"0.05\", expect_size=\"7000064\"] \n  29 [size=\"38054400\", alpha=\"0.07\", expect_size=\"15221760\"] \n  29 -> 31 [size =\"15221760\"]\n  29 -> 32 [size =\"15221760\"]\n  30 [size=\"45012480\", alpha=\"0.12\", expect_size=\"18004992\"] \n  30 -> 33 [size =\"18004992\"]\n  31 [size=\"60641280\", alpha=\"0.03\", expect_size=\"24256512\"] \n  31 -> 35 [size =\"24256512\"]\n  32 [size=\"63129600\", alpha=\"0.12\", expect_size=\"25251840\"] \n  33 [size=\"53381120\", alpha=\"0.09\", expect_size=\"21352448\"] \n  33 -> 34 [size =\"21352448\"]\n  34 [size=\"69470720\", alpha=\"0.18\", expect_size=\"27788288\"] \n  34 -> 36 [size =\"27788288\"]\n  34 -> 38 [size =\"27788288\"]\n  35 [size=\"108764160\", alpha=\"0.00\", expect_size=\"43505664\"] \n  35 -> 37 [size =\"43505664\"]\n  36 [size=\"127032320\", alpha=\"0.01\", expect_size=\"50812928\"] \n  36 -> 40 [size =\"50812928\"]\n  36 -> 41 [size =\"50812928\"]\n  37 [size=\"40826880\", alpha=\"0.01\", expect_size=\"16330752\"] \n  38 [size=\"35002880\", alpha=\"0.03\", expect_size=\"14001152\"] \n  38 -> 39 [size =\"14001152\"]\n  38 -> 41 [size =\"14001152\"]\n  39 [size=\"64990720\", alpha=\"0.03\", expect_size=\"25996288\"] \n  39 -> 43 [size =\"25996288\"]\n  40 [size=\"107415040\", alpha=\"0.08\", expect_size=\"42966016\"] \n  40 -> 42 [size =\"42966016\"]\n  41 [size=\"59200000\", alpha=\"0.18\", expect_size=\"23680000\"] \n  41 -> 42 [size =\"23680000\"]\n  42 [size=\"74734080\", alpha=\"0.14\", expect_size=\"29893632\"] \n  43 [size=\"28321280\", alpha=\"0.17\", expect_size=\"11328512\"] \n  43 -> 44 [size =\"11328512\"]\n  43 -> 45 [size =\"11328512\"]\n  44 [size=\"79539200\", alpha=\"0.20\", expect_size=\"31815680\"] \n  44 -> 47 [size =\"31815680\"]\n  44 -> 48 [size =\"31815680\"]\n  45 [size=\"68712960\", alpha=\"0.14\", expect_size=\"27485184\"] \n  45 -> 46 [size =\"27485184\"]\n  46 [size=\"69690880\", alpha=\"0.05\", expect_size=\"27876352\"] \n  47 [size=\"73438720\", alpha=\"0.19\", expect_size=\"29375488\"] \n  47 -> 49 [size =\"29375488\"]\n  48 [size=\"78976000\", alpha=\"0.14\", expect_size=\"31590400\"] \n  48 -> 50 [size =\"31590400\"]\n  49 [size=\"99463680\", alpha=\"0.13\", expect_size=\"39785472\"] \n  50 [size=\"118842880\", alpha=\"0.18\", expect_size=\"47537152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.729.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14254080\", alpha=\"0.13\", expect_size=\"7127040\"] \n  1 -> 3 [size =\"7127040\"]\n  1 -> 4 [size =\"7127040\"]\n  2 [size=\"94269440\", alpha=\"0.18\", expect_size=\"47134720\"] \n  2 -> 4 [size =\"47134720\"]\n  3 [size=\"104161280\", alpha=\"0.14\", expect_size=\"52080640\"] \n  3 -> 5 [size =\"52080640\"]\n  3 -> 7 [size =\"52080640\"]\n  4 [size=\"48136192\", alpha=\"0.11\", expect_size=\"24068096\"] \n  4 -> 5 [size =\"24068096\"]\n  4 -> 6 [size =\"24068096\"]\n  5 [size=\"44568576\", alpha=\"0.18\", expect_size=\"22284288\"] \n  5 -> 8 [size =\"22284288\"]\n  5 -> 9 [size =\"22284288\"]\n  5 -> 10 [size =\"22284288\"]\n  6 [size=\"91613184\", alpha=\"0.08\", expect_size=\"45806592\"] \n  6 -> 8 [size =\"45806592\"]\n  6 -> 9 [size =\"45806592\"]\n  7 [size=\"18683904\", alpha=\"0.11\", expect_size=\"9341952\"] \n  8 [size=\"60485632\", alpha=\"0.12\", expect_size=\"30242816\"] \n  8 -> 11 [size =\"30242816\"]\n  8 -> 12 [size =\"30242816\"]\n  9 [size=\"66263040\", alpha=\"0.07\", expect_size=\"33131520\"] \n  9 -> 12 [size =\"33131520\"]\n  10 [size=\"22888448\", alpha=\"0.16\", expect_size=\"11444224\"] \n  11 [size=\"29433856\", alpha=\"0.01\", expect_size=\"14716928\"] \n  11 -> 13 [size =\"14716928\"]\n  12 [size=\"88694784\", alpha=\"0.16\", expect_size=\"44347392\"] \n  12 -> 14 [size =\"44347392\"]\n  13 [size=\"79251456\", alpha=\"0.19\", expect_size=\"39625728\"] \n  13 -> 15 [size =\"39625728\"]\n  13 -> 16 [size =\"39625728\"]\n  14 [size=\"50933760\", alpha=\"0.11\", expect_size=\"25466880\"] \n  14 -> 15 [size =\"25466880\"]\n  14 -> 16 [size =\"25466880\"]\n  15 [size=\"103344128\", alpha=\"0.03\", expect_size=\"51672064\"] \n  15 -> 17 [size =\"51672064\"]\n  15 -> 18 [size =\"51672064\"]\n  16 [size=\"94564352\", alpha=\"0.03\", expect_size=\"47282176\"] \n  16 -> 18 [size =\"47282176\"]\n  17 [size=\"39798784\", alpha=\"0.14\", expect_size=\"19899392\"] \n  17 -> 20 [size =\"19899392\"]\n  17 -> 21 [size =\"19899392\"]\n  18 [size=\"93566976\", alpha=\"0.12\", expect_size=\"46783488\"] \n  18 -> 19 [size =\"46783488\"]\n  18 -> 21 [size =\"46783488\"]\n  19 [size=\"58097664\", alpha=\"0.03\", expect_size=\"29048832\"] \n  19 -> 22 [size =\"29048832\"]\n  19 -> 23 [size =\"29048832\"]\n  20 [size=\"90875904\", alpha=\"0.14\", expect_size=\"45437952\"] \n  20 -> 22 [size =\"45437952\"]\n  21 [size=\"73291776\", alpha=\"0.06\", expect_size=\"36645888\"] \n  21 -> 22 [size =\"36645888\"]\n  21 -> 23 [size =\"36645888\"]\n  22 [size=\"79990784\", alpha=\"0.16\", expect_size=\"39995392\"] \n  22 -> 24 [size =\"39995392\"]\n  22 -> 25 [size =\"39995392\"]\n  22 -> 26 [size =\"39995392\"]\n  23 [size=\"63160320\", alpha=\"0.06\", expect_size=\"31580160\"] \n  23 -> 26 [size =\"31580160\"]\n  24 [size=\"57180160\", alpha=\"0.03\", expect_size=\"28590080\"] \n  24 -> 28 [size =\"28590080\"]\n  25 [size=\"12507136\", alpha=\"0.08\", expect_size=\"6253568\"] \n  25 -> 28 [size =\"6253568\"]\n  26 [size=\"27052032\", alpha=\"0.10\", expect_size=\"13526016\"] \n  26 -> 27 [size =\"13526016\"]\n  27 [size=\"41066496\", alpha=\"0.14\", expect_size=\"20533248\"] \n  27 -> 29 [size =\"20533248\"]\n  27 -> 30 [size =\"20533248\"]\n  28 [size=\"14653440\", alpha=\"0.08\", expect_size=\"7326720\"] \n  28 -> 29 [size =\"7326720\"]\n  29 [size=\"69285888\", alpha=\"0.15\", expect_size=\"34642944\"] \n  29 -> 32 [size =\"34642944\"]\n  30 [size=\"81600512\", alpha=\"0.04\", expect_size=\"40800256\"] \n  30 -> 31 [size =\"40800256\"]\n  31 [size=\"52813824\", alpha=\"0.16\", expect_size=\"26406912\"] \n  31 -> 33 [size =\"26406912\"]\n  32 [size=\"81068032\", alpha=\"0.06\", expect_size=\"40534016\"] \n  32 -> 33 [size =\"40534016\"]\n  32 -> 34 [size =\"40534016\"]\n  33 [size=\"61407232\", alpha=\"0.10\", expect_size=\"30703616\"] \n  33 -> 35 [size =\"30703616\"]\n  34 [size=\"87502848\", alpha=\"0.03\", expect_size=\"43751424\"] \n  34 -> 35 [size =\"43751424\"]\n  34 -> 36 [size =\"43751424\"]\n  35 [size=\"102639616\", alpha=\"0.15\", expect_size=\"51319808\"] \n  35 -> 37 [size =\"51319808\"]\n  35 -> 38 [size =\"51319808\"]\n  35 -> 39 [size =\"51319808\"]\n  36 [size=\"46524416\", alpha=\"0.05\", expect_size=\"23262208\"] \n  36 -> 37 [size =\"23262208\"]\n  36 -> 39 [size =\"23262208\"]\n  37 [size=\"94662656\", alpha=\"0.01\", expect_size=\"47331328\"] \n  37 -> 40 [size =\"47331328\"]\n  37 -> 41 [size =\"47331328\"]\n  38 [size=\"66506752\", alpha=\"0.15\", expect_size=\"33253376\"] \n  38 -> 40 [size =\"33253376\"]\n  38 -> 41 [size =\"33253376\"]\n  38 -> 42 [size =\"33253376\"]\n  39 [size=\"12058624\", alpha=\"0.19\", expect_size=\"6029312\"] \n  39 -> 42 [size =\"6029312\"]\n  40 [size=\"81465344\", alpha=\"0.00\", expect_size=\"40732672\"] \n  40 -> 43 [size =\"40732672\"]\n  40 -> 45 [size =\"40732672\"]\n  41 [size=\"98390016\", alpha=\"0.15\", expect_size=\"49195008\"] \n  41 -> 43 [size =\"49195008\"]\n  41 -> 44 [size =\"49195008\"]\n  42 [size=\"81778688\", alpha=\"0.04\", expect_size=\"40889344\"] \n  42 -> 44 [size =\"40889344\"]\n  43 [size=\"15474688\", alpha=\"0.04\", expect_size=\"7737344\"] \n  44 [size=\"62613504\", alpha=\"0.14\", expect_size=\"31306752\"] \n  44 -> 46 [size =\"31306752\"]\n  45 [size=\"74899456\", alpha=\"0.05\", expect_size=\"37449728\"] \n  45 -> 47 [size =\"37449728\"]\n  46 [size=\"50821120\", alpha=\"0.19\", expect_size=\"25410560\"] \n  46 -> 48 [size =\"25410560\"]\n  46 -> 49 [size =\"25410560\"]\n  47 [size=\"74461184\", alpha=\"0.20\", expect_size=\"37230592\"] \n  47 -> 48 [size =\"37230592\"]\n  47 -> 49 [size =\"37230592\"]\n  48 [size=\"80756736\", alpha=\"0.01\", expect_size=\"40378368\"] \n  48 -> 50 [size =\"40378368\"]\n  49 [size=\"58419200\", alpha=\"0.15\", expect_size=\"29209600\"] \n  49 -> 50 [size =\"29209600\"]\n  50 [size=\"55062528\", alpha=\"0.04\", expect_size=\"27531264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34723840\", alpha=\"0.10\", expect_size=\"17361920\"] \n  1 -> 43 [size =\"17361920\"]\n  1 -> 45 [size =\"17361920\"]\n  1 -> 46 [size =\"17361920\"]\n  1 -> 48 [size =\"17361920\"]\n  1 -> 49 [size =\"17361920\"]\n  1 -> 50 [size =\"17361920\"]\n  2 [size=\"67684352\", alpha=\"0.04\", expect_size=\"33842176\"] \n  2 -> 42 [size =\"33842176\"]\n  2 -> 43 [size =\"33842176\"]\n  2 -> 46 [size =\"33842176\"]\n  2 -> 48 [size =\"33842176\"]\n  2 -> 49 [size =\"33842176\"]\n  3 [size=\"65052672\", alpha=\"0.00\", expect_size=\"32526336\"] \n  3 -> 41 [size =\"32526336\"]\n  3 -> 46 [size =\"32526336\"]\n  3 -> 46 [size =\"32526336\"]\n  3 -> 48 [size =\"32526336\"]\n  3 -> 49 [size =\"32526336\"]\n  4 [size=\"93808640\", alpha=\"0.18\", expect_size=\"46904320\"] \n  4 -> 41 [size =\"46904320\"]\n  4 -> 46 [size =\"46904320\"]\n  4 -> 49 [size =\"46904320\"]\n  4 -> 50 [size =\"46904320\"]\n  5 [size=\"82182144\", alpha=\"0.09\", expect_size=\"41091072\"] \n  5 -> 45 [size =\"41091072\"]\n  5 -> 46 [size =\"41091072\"]\n  5 -> 48 [size =\"41091072\"]\n  5 -> 49 [size =\"41091072\"]\n  6 [size=\"29861888\", alpha=\"0.06\", expect_size=\"14930944\"] \n  6 -> 43 [size =\"14930944\"]\n  6 -> 48 [size =\"14930944\"]\n  6 -> 49 [size =\"14930944\"]\n  6 -> 50 [size =\"14930944\"]\n  7 [size=\"19712000\", alpha=\"0.15\", expect_size=\"9856000\"] \n  7 -> 43 [size =\"9856000\"]\n  7 -> 46 [size =\"9856000\"]\n  7 -> 48 [size =\"9856000\"]\n  7 -> 50 [size =\"9856000\"]\n  8 [size=\"93493248\", alpha=\"0.07\", expect_size=\"46746624\"] \n  8 -> 42 [size =\"46746624\"]\n  8 -> 43 [size =\"46746624\"]\n  8 -> 46 [size =\"46746624\"]\n  8 -> 48 [size =\"46746624\"]\n  8 -> 50 [size =\"46746624\"]\n  9 [size=\"74471424\", alpha=\"0.05\", expect_size=\"37235712\"] \n  9 -> 46 [size =\"37235712\"]\n  9 -> 48 [size =\"37235712\"]\n  9 -> 50 [size =\"37235712\"]\n  10 [size=\"97232896\", alpha=\"0.20\", expect_size=\"48616448\"] \n  10 -> 42 [size =\"48616448\"]\n  10 -> 44 [size =\"48616448\"]\n  10 -> 46 [size =\"48616448\"]\n  10 -> 47 [size =\"48616448\"]\n  10 -> 48 [size =\"48616448\"]\n  10 -> 49 [size =\"48616448\"]\n  10 -> 50 [size =\"48616448\"]\n  11 [size=\"48324608\", alpha=\"0.04\", expect_size=\"24162304\"] \n  11 -> 41 [size =\"24162304\"]\n  11 -> 42 [size =\"24162304\"]\n  11 -> 43 [size =\"24162304\"]\n  11 -> 44 [size =\"24162304\"]\n  11 -> 47 [size =\"24162304\"]\n  11 -> 48 [size =\"24162304\"]\n  12 [size=\"94218240\", alpha=\"0.01\", expect_size=\"47109120\"] \n  12 -> 41 [size =\"47109120\"]\n  12 -> 42 [size =\"47109120\"]\n  12 -> 46 [size =\"47109120\"]\n  12 -> 49 [size =\"47109120\"]\n  13 [size=\"19234816\", alpha=\"0.02\", expect_size=\"9617408\"] \n  13 -> 43 [size =\"9617408\"]\n  13 -> 47 [size =\"9617408\"]\n  13 -> 50 [size =\"9617408\"]\n  14 [size=\"19380224\", alpha=\"0.10\", expect_size=\"9690112\"] \n  14 -> 50 [size =\"9690112\"]\n  15 [size=\"10631168\", alpha=\"0.10\", expect_size=\"5315584\"] \n  15 -> 46 [size =\"5315584\"]\n  16 [size=\"54259712\", alpha=\"0.11\", expect_size=\"27129856\"] \n  16 -> 41 [size =\"27129856\"]\n  16 -> 43 [size =\"27129856\"]\n  16 -> 46 [size =\"27129856\"]\n  16 -> 48 [size =\"27129856\"]\n  17 [size=\"81577984\", alpha=\"0.13\", expect_size=\"40788992\"] \n  17 -> 42 [size =\"40788992\"]\n  17 -> 43 [size =\"40788992\"]\n  17 -> 46 [size =\"40788992\"]\n  17 -> 48 [size =\"40788992\"]\n  18 [size=\"56918016\", alpha=\"0.17\", expect_size=\"28459008\"] \n  18 -> 44 [size =\"28459008\"]\n  18 -> 46 [size =\"28459008\"]\n  18 -> 46 [size =\"28459008\"]\n  18 -> 47 [size =\"28459008\"]\n  18 -> 50 [size =\"28459008\"]\n  19 [size=\"88236032\", alpha=\"0.13\", expect_size=\"44118016\"] \n  19 -> 43 [size =\"44118016\"]\n  19 -> 44 [size =\"44118016\"]\n  19 -> 46 [size =\"44118016\"]\n  19 -> 47 [size =\"44118016\"]\n  20 [size=\"17836032\", alpha=\"0.11\", expect_size=\"8918016\"] \n  20 -> 41 [size =\"8918016\"]\n  20 -> 43 [size =\"8918016\"]\n  20 -> 47 [size =\"8918016\"]\n  20 -> 49 [size =\"8918016\"]\n  21 [size=\"16605184\", alpha=\"0.15\", expect_size=\"8302592\"] \n  21 -> 49 [size =\"8302592\"]\n  21 -> 50 [size =\"8302592\"]\n  22 [size=\"37550080\", alpha=\"0.10\", expect_size=\"18775040\"] \n  22 -> 41 [size =\"18775040\"]\n  22 -> 43 [size =\"18775040\"]\n  22 -> 46 [size =\"18775040\"]\n  22 -> 47 [size =\"18775040\"]\n  22 -> 48 [size =\"18775040\"]\n  22 -> 49 [size =\"18775040\"]\n  22 -> 50 [size =\"18775040\"]\n  23 [size=\"43534336\", alpha=\"0.17\", expect_size=\"21767168\"] \n  23 -> 41 [size =\"21767168\"]\n  23 -> 43 [size =\"21767168\"]\n  23 -> 46 [size =\"21767168\"]\n  23 -> 47 [size =\"21767168\"]\n  23 -> 49 [size =\"21767168\"]\n  23 -> 50 [size =\"21767168\"]\n  24 [size=\"52269056\", alpha=\"0.02\", expect_size=\"26134528\"] \n  24 -> 43 [size =\"26134528\"]\n  24 -> 46 [size =\"26134528\"]\n  24 -> 46 [size =\"26134528\"]\n  24 -> 48 [size =\"26134528\"]\n  24 -> 49 [size =\"26134528\"]\n  24 -> 50 [size =\"26134528\"]\n  25 [size=\"98848768\", alpha=\"0.02\", expect_size=\"49424384\"] \n  25 -> 43 [size =\"49424384\"]\n  25 -> 45 [size =\"49424384\"]\n  25 -> 46 [size =\"49424384\"]\n  25 -> 49 [size =\"49424384\"]\n  25 -> 50 [size =\"49424384\"]\n  26 [size=\"53426176\", alpha=\"0.06\", expect_size=\"26713088\"] \n  26 -> 42 [size =\"26713088\"]\n  26 -> 43 [size =\"26713088\"]\n  26 -> 46 [size =\"26713088\"]\n  26 -> 47 [size =\"26713088\"]\n  26 -> 48 [size =\"26713088\"]\n  26 -> 50 [size =\"26713088\"]\n  27 [size=\"10618880\", alpha=\"0.12\", expect_size=\"5309440\"] \n  27 -> 43 [size =\"5309440\"]\n  27 -> 43 [size =\"5309440\"]\n  27 -> 46 [size =\"5309440\"]\n  27 -> 48 [size =\"5309440\"]\n  27 -> 49 [size =\"5309440\"]\n  28 [size=\"70600704\", alpha=\"0.15\", expect_size=\"35300352\"] \n  28 -> 43 [size =\"35300352\"]\n  28 -> 46 [size =\"35300352\"]\n  28 -> 46 [size =\"35300352\"]\n  28 -> 48 [size =\"35300352\"]\n  29 [size=\"57528320\", alpha=\"0.12\", expect_size=\"28764160\"] \n  29 -> 46 [size =\"28764160\"]\n  29 -> 46 [size =\"28764160\"]\n  30 [size=\"24801280\", alpha=\"0.08\", expect_size=\"12400640\"] \n  30 -> 43 [size =\"12400640\"]\n  30 -> 46 [size =\"12400640\"]\n  30 -> 48 [size =\"12400640\"]\n  30 -> 49 [size =\"12400640\"]\n  31 [size=\"78073856\", alpha=\"0.11\", expect_size=\"39036928\"] \n  31 -> 41 [size =\"39036928\"]\n  31 -> 43 [size =\"39036928\"]\n  31 -> 46 [size =\"39036928\"]\n  31 -> 48 [size =\"39036928\"]\n  32 [size=\"52842496\", alpha=\"0.13\", expect_size=\"26421248\"] \n  32 -> 41 [size =\"26421248\"]\n  32 -> 46 [size =\"26421248\"]\n  32 -> 47 [size =\"26421248\"]\n  32 -> 50 [size =\"26421248\"]\n  33 [size=\"100677632\", alpha=\"0.16\", expect_size=\"50338816\"] \n  33 -> 42 [size =\"50338816\"]\n  33 -> 43 [size =\"50338816\"]\n  33 -> 46 [size =\"50338816\"]\n  33 -> 47 [size =\"50338816\"]\n  33 -> 49 [size =\"50338816\"]\n  33 -> 50 [size =\"50338816\"]\n  34 [size=\"87406592\", alpha=\"0.01\", expect_size=\"43703296\"] \n  34 -> 41 [size =\"43703296\"]\n  34 -> 42 [size =\"43703296\"]\n  34 -> 46 [size =\"43703296\"]\n  34 -> 47 [size =\"43703296\"]\n  34 -> 48 [size =\"43703296\"]\n  34 -> 49 [size =\"43703296\"]\n  34 -> 50 [size =\"43703296\"]\n  35 [size=\"96348160\", alpha=\"0.06\", expect_size=\"48174080\"] \n  35 -> 43 [size =\"48174080\"]\n  35 -> 46 [size =\"48174080\"]\n  35 -> 49 [size =\"48174080\"]\n  35 -> 50 [size =\"48174080\"]\n  36 [size=\"104833024\", alpha=\"0.00\", expect_size=\"52416512\"] \n  36 -> 50 [size =\"52416512\"]\n  37 [size=\"37863424\", alpha=\"0.10\", expect_size=\"18931712\"] \n  37 -> 43 [size =\"18931712\"]\n  37 -> 48 [size =\"18931712\"]\n  37 -> 49 [size =\"18931712\"]\n  37 -> 50 [size =\"18931712\"]\n  38 [size=\"93413376\", alpha=\"0.09\", expect_size=\"46706688\"] \n  38 -> 43 [size =\"46706688\"]\n  38 -> 45 [size =\"46706688\"]\n  38 -> 46 [size =\"46706688\"]\n  38 -> 47 [size =\"46706688\"]\n  38 -> 48 [size =\"46706688\"]\n  38 -> 49 [size =\"46706688\"]\n  38 -> 50 [size =\"46706688\"]\n  39 [size=\"71372800\", alpha=\"0.05\", expect_size=\"35686400\"] \n  39 -> 48 [size =\"35686400\"]\n  39 -> 49 [size =\"35686400\"]\n  39 -> 50 [size =\"35686400\"]\n  40 [size=\"35733504\", alpha=\"0.02\", expect_size=\"17866752\"] \n  40 -> 43 [size =\"17866752\"]\n  40 -> 48 [size =\"17866752\"]\n  40 -> 50 [size =\"17866752\"]\n  41 [size=\"73240576\", alpha=\"0.00\", expect_size=\"36620288\"] \n  42 [size=\"32991232\", alpha=\"0.05\", expect_size=\"16495616\"] \n  43 [size=\"93089792\", alpha=\"0.16\", expect_size=\"46544896\"] \n  44 [size=\"73545728\", alpha=\"0.16\", expect_size=\"36772864\"] \n  45 [size=\"77627392\", alpha=\"0.15\", expect_size=\"38813696\"] \n  46 [size=\"11104256\", alpha=\"0.03\", expect_size=\"5552128\"] \n  47 [size=\"12126208\", alpha=\"0.11\", expect_size=\"6063104\"] \n  48 [size=\"57413632\", alpha=\"0.12\", expect_size=\"28706816\"] \n  49 [size=\"99031040\", alpha=\"0.02\", expect_size=\"49515520\"] \n  50 [size=\"25980928\", alpha=\"0.16\", expect_size=\"12990464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.730.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167533227\", alpha=\"0.08\", expect_size=\"50259968\"] \n  1 -> 36 [size =\"50259968\"]\n  1 -> 42 [size =\"50259968\"]\n  1 -> 45 [size =\"50259968\"]\n  1 -> 47 [size =\"50259968\"]\n  1 -> 48 [size =\"50259968\"]\n  2 [size=\"62358187\", alpha=\"0.19\", expect_size=\"18707456\"] \n  2 -> 48 [size =\"18707456\"]\n  2 -> 50 [size =\"18707456\"]\n  3 [size=\"114114560\", alpha=\"0.12\", expect_size=\"34234368\"] \n  3 -> 36 [size =\"34234368\"]\n  3 -> 37 [size =\"34234368\"]\n  3 -> 41 [size =\"34234368\"]\n  3 -> 42 [size =\"34234368\"]\n  3 -> 43 [size =\"34234368\"]\n  3 -> 46 [size =\"34234368\"]\n  3 -> 47 [size =\"34234368\"]\n  4 [size=\"168936107\", alpha=\"0.08\", expect_size=\"50680832\"] \n  4 -> 41 [size =\"50680832\"]\n  4 -> 47 [size =\"50680832\"]\n  5 [size=\"21367467\", alpha=\"0.01\", expect_size=\"6410240\"] \n  5 -> 40 [size =\"6410240\"]\n  5 -> 41 [size =\"6410240\"]\n  5 -> 43 [size =\"6410240\"]\n  5 -> 45 [size =\"6410240\"]\n  5 -> 47 [size =\"6410240\"]\n  6 [size=\"133317973\", alpha=\"0.06\", expect_size=\"39995392\"] \n  6 -> 41 [size =\"39995392\"]\n  6 -> 43 [size =\"39995392\"]\n  7 [size=\"32119467\", alpha=\"0.18\", expect_size=\"9635840\"] \n  7 -> 37 [size =\"9635840\"]\n  7 -> 40 [size =\"9635840\"]\n  7 -> 44 [size =\"9635840\"]\n  7 -> 47 [size =\"9635840\"]\n  8 [size=\"171339093\", alpha=\"0.16\", expect_size=\"51401728\"] \n  9 [size=\"118903467\", alpha=\"0.13\", expect_size=\"35671040\"] \n  10 [size=\"50903040\", alpha=\"0.05\", expect_size=\"15270912\"] \n  10 -> 37 [size =\"15270912\"]\n  10 -> 45 [size =\"15270912\"]\n  10 -> 47 [size =\"15270912\"]\n  11 [size=\"97351680\", alpha=\"0.07\", expect_size=\"29205504\"] \n  11 -> 36 [size =\"29205504\"]\n  11 -> 40 [size =\"29205504\"]\n  11 -> 45 [size =\"29205504\"]\n  11 -> 47 [size =\"29205504\"]\n  11 -> 48 [size =\"29205504\"]\n  11 -> 50 [size =\"29205504\"]\n  12 [size=\"160044373\", alpha=\"0.11\", expect_size=\"48013312\"] \n  12 -> 36 [size =\"48013312\"]\n  12 -> 40 [size =\"48013312\"]\n  12 -> 45 [size =\"48013312\"]\n  12 -> 50 [size =\"48013312\"]\n  13 [size=\"151941120\", alpha=\"0.19\", expect_size=\"45582336\"] \n  13 -> 43 [size =\"45582336\"]\n  14 [size=\"86807893\", alpha=\"0.14\", expect_size=\"26042368\"] \n  14 -> 36 [size =\"26042368\"]\n  14 -> 37 [size =\"26042368\"]\n  15 [size=\"146333013\", alpha=\"0.13\", expect_size=\"43899904\"] \n  15 -> 37 [size =\"43899904\"]\n  15 -> 45 [size =\"43899904\"]\n  16 [size=\"152794453\", alpha=\"0.11\", expect_size=\"45838336\"] \n  16 -> 40 [size =\"45838336\"]\n  16 -> 41 [size =\"45838336\"]\n  16 -> 43 [size =\"45838336\"]\n  17 [size=\"45632853\", alpha=\"0.04\", expect_size=\"13689856\"] \n  17 -> 41 [size =\"13689856\"]\n  17 -> 43 [size =\"13689856\"]\n  17 -> 45 [size =\"13689856\"]\n  17 -> 46 [size =\"13689856\"]\n  17 -> 47 [size =\"13689856\"]\n  17 -> 48 [size =\"13689856\"]\n  18 [size=\"33669120\", alpha=\"0.06\", expect_size=\"10100736\"] \n  18 -> 36 [size =\"10100736\"]\n  18 -> 42 [size =\"10100736\"]\n  18 -> 47 [size =\"10100736\"]\n  18 -> 49 [size =\"10100736\"]\n  19 [size=\"162696533\", alpha=\"0.11\", expect_size=\"48808960\"] \n  19 -> 36 [size =\"48808960\"]\n  19 -> 42 [size =\"48808960\"]\n  19 -> 44 [size =\"48808960\"]\n  19 -> 45 [size =\"48808960\"]\n  19 -> 50 [size =\"48808960\"]\n  20 [size=\"107055787\", alpha=\"0.19\", expect_size=\"32116736\"] \n  20 -> 36 [size =\"32116736\"]\n  20 -> 40 [size =\"32116736\"]\n  21 [size=\"148398080\", alpha=\"0.06\", expect_size=\"44519424\"] \n  21 -> 36 [size =\"44519424\"]\n  21 -> 41 [size =\"44519424\"]\n  22 [size=\"47336107\", alpha=\"0.18\", expect_size=\"14200832\"] \n  22 -> 36 [size =\"14200832\"]\n  22 -> 43 [size =\"14200832\"]\n  22 -> 45 [size =\"14200832\"]\n  22 -> 48 [size =\"14200832\"]\n  23 [size=\"136789333\", alpha=\"0.03\", expect_size=\"41036800\"] \n  23 -> 38 [size =\"41036800\"]\n  24 [size=\"129583787\", alpha=\"0.08\", expect_size=\"38875136\"] \n  24 -> 36 [size =\"38875136\"]\n  24 -> 40 [size =\"38875136\"]\n  24 -> 41 [size =\"38875136\"]\n  24 -> 42 [size =\"38875136\"]\n  24 -> 50 [size =\"38875136\"]\n  25 [size=\"80281600\", alpha=\"0.12\", expect_size=\"24084480\"] \n  25 -> 36 [size =\"24084480\"]\n  25 -> 37 [size =\"24084480\"]\n  25 -> 42 [size =\"24084480\"]\n  25 -> 42 [size =\"24084480\"]\n  25 -> 45 [size =\"24084480\"]\n  26 [size=\"25439573\", alpha=\"0.12\", expect_size=\"7631872\"] \n  26 -> 36 [size =\"7631872\"]\n  26 -> 44 [size =\"7631872\"]\n  26 -> 45 [size =\"7631872\"]\n  26 -> 46 [size =\"7631872\"]\n  26 -> 47 [size =\"7631872\"]\n  26 -> 48 [size =\"7631872\"]\n  26 -> 50 [size =\"7631872\"]\n  27 [size=\"113448960\", alpha=\"0.13\", expect_size=\"34034688\"] \n  27 -> 43 [size =\"34034688\"]\n  27 -> 45 [size =\"34034688\"]\n  27 -> 46 [size =\"34034688\"]\n  28 [size=\"147336533\", alpha=\"0.14\", expect_size=\"44200960\"] \n  28 -> 40 [size =\"44200960\"]\n  28 -> 41 [size =\"44200960\"]\n  28 -> 43 [size =\"44200960\"]\n  28 -> 45 [size =\"44200960\"]\n  28 -> 46 [size =\"44200960\"]\n  29 [size=\"33549653\", alpha=\"0.08\", expect_size=\"10064896\"] \n  29 -> 37 [size =\"10064896\"]\n  29 -> 40 [size =\"10064896\"]\n  29 -> 41 [size =\"10064896\"]\n  29 -> 43 [size =\"10064896\"]\n  29 -> 45 [size =\"10064896\"]\n  30 [size=\"117975040\", alpha=\"0.06\", expect_size=\"35392512\"] \n  30 -> 40 [size =\"35392512\"]\n  30 -> 41 [size =\"35392512\"]\n  30 -> 43 [size =\"35392512\"]\n  30 -> 46 [size =\"35392512\"]\n  30 -> 50 [size =\"35392512\"]\n  31 [size=\"107335680\", alpha=\"0.14\", expect_size=\"32200704\"] \n  31 -> 36 [size =\"32200704\"]\n  31 -> 41 [size =\"32200704\"]\n  31 -> 46 [size =\"32200704\"]\n  31 -> 50 [size =\"32200704\"]\n  32 [size=\"151688533\", alpha=\"0.00\", expect_size=\"45506560\"] \n  32 -> 36 [size =\"45506560\"]\n  32 -> 37 [size =\"45506560\"]\n  32 -> 43 [size =\"45506560\"]\n  32 -> 46 [size =\"45506560\"]\n  32 -> 48 [size =\"45506560\"]\n  33 [size=\"138632533\", alpha=\"0.04\", expect_size=\"41589760\"] \n  33 -> 36 [size =\"41589760\"]\n  33 -> 40 [size =\"41589760\"]\n  33 -> 45 [size =\"41589760\"]\n  33 -> 47 [size =\"41589760\"]\n  33 -> 48 [size =\"41589760\"]\n  34 [size=\"164809387\", alpha=\"0.16\", expect_size=\"49442816\"] \n  34 -> 36 [size =\"49442816\"]\n  34 -> 38 [size =\"49442816\"]\n  34 -> 39 [size =\"49442816\"]\n  34 -> 40 [size =\"49442816\"]\n  34 -> 44 [size =\"49442816\"]\n  34 -> 48 [size =\"49442816\"]\n  35 [size=\"67106133\", alpha=\"0.05\", expect_size=\"20131840\"] \n  35 -> 36 [size =\"20131840\"]\n  35 -> 40 [size =\"20131840\"]\n  35 -> 42 [size =\"20131840\"]\n  35 -> 45 [size =\"20131840\"]\n  35 -> 48 [size =\"20131840\"]\n  36 [size=\"163990187\", alpha=\"0.11\", expect_size=\"49197056\"] \n  37 [size=\"99444053\", alpha=\"0.20\", expect_size=\"29833216\"] \n  38 [size=\"45397333\", alpha=\"0.11\", expect_size=\"13619200\"] \n  39 [size=\"155716267\", alpha=\"0.01\", expect_size=\"46714880\"] \n  40 [size=\"59972267\", alpha=\"0.03\", expect_size=\"17991680\"] \n  41 [size=\"106161493\", alpha=\"0.01\", expect_size=\"31848448\"] \n  42 [size=\"59589973\", alpha=\"0.03\", expect_size=\"17876992\"] \n  43 [size=\"62829227\", alpha=\"0.19\", expect_size=\"18848768\"] \n  44 [size=\"93061120\", alpha=\"0.11\", expect_size=\"27918336\"] \n  45 [size=\"62327467\", alpha=\"0.10\", expect_size=\"18698240\"] \n  46 [size=\"99495253\", alpha=\"0.10\", expect_size=\"29848576\"] \n  47 [size=\"25303040\", alpha=\"0.02\", expect_size=\"7590912\"] \n  48 [size=\"25204053\", alpha=\"0.11\", expect_size=\"7561216\"] \n  49 [size=\"115384320\", alpha=\"0.02\", expect_size=\"34615296\"] \n  50 [size=\"126501547\", alpha=\"0.06\", expect_size=\"37950464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.731.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56883200\", alpha=\"0.07\", expect_size=\"17064960\"] \n  1 -> 4 [size =\"17064960\"]\n  1 -> 6 [size =\"17064960\"]\n  2 [size=\"133198507\", alpha=\"0.06\", expect_size=\"39959552\"] \n  2 -> 4 [size =\"39959552\"]\n  2 -> 5 [size =\"39959552\"]\n  3 [size=\"109120853\", alpha=\"0.17\", expect_size=\"32736256\"] \n  3 -> 4 [size =\"32736256\"]\n  4 [size=\"74417493\", alpha=\"0.14\", expect_size=\"22325248\"] \n  4 -> 8 [size =\"22325248\"]\n  4 -> 9 [size =\"22325248\"]\n  5 [size=\"172823893\", alpha=\"0.18\", expect_size=\"51847168\"] \n  5 -> 7 [size =\"51847168\"]\n  5 -> 8 [size =\"51847168\"]\n  5 -> 9 [size =\"51847168\"]\n  6 [size=\"58248533\", alpha=\"0.17\", expect_size=\"17474560\"] \n  6 -> 7 [size =\"17474560\"]\n  6 -> 9 [size =\"17474560\"]\n  7 [size=\"65215147\", alpha=\"0.08\", expect_size=\"19564544\"] \n  7 -> 11 [size =\"19564544\"]\n  8 [size=\"161416533\", alpha=\"0.09\", expect_size=\"48424960\"] \n  9 [size=\"159836160\", alpha=\"0.17\", expect_size=\"47950848\"] \n  9 -> 10 [size =\"47950848\"]\n  9 -> 11 [size =\"47950848\"]\n  10 [size=\"146254507\", alpha=\"0.13\", expect_size=\"43876352\"] \n  10 -> 12 [size =\"43876352\"]\n  10 -> 13 [size =\"43876352\"]\n  11 [size=\"170376533\", alpha=\"0.19\", expect_size=\"51112960\"] \n  11 -> 12 [size =\"51112960\"]\n  11 -> 13 [size =\"51112960\"]\n  12 [size=\"66955947\", alpha=\"0.09\", expect_size=\"20086784\"] \n  12 -> 15 [size =\"20086784\"]\n  12 -> 16 [size =\"20086784\"]\n  13 [size=\"113223680\", alpha=\"0.03\", expect_size=\"33967104\"] \n  13 -> 14 [size =\"33967104\"]\n  13 -> 16 [size =\"33967104\"]\n  14 [size=\"89494187\", alpha=\"0.16\", expect_size=\"26848256\"] \n  14 -> 17 [size =\"26848256\"]\n  14 -> 18 [size =\"26848256\"]\n  14 -> 19 [size =\"26848256\"]\n  15 [size=\"40038400\", alpha=\"0.20\", expect_size=\"12011520\"] \n  15 -> 17 [size =\"12011520\"]\n  15 -> 18 [size =\"12011520\"]\n  16 [size=\"28101973\", alpha=\"0.19\", expect_size=\"8430592\"] \n  16 -> 17 [size =\"8430592\"]\n  17 [size=\"163645440\", alpha=\"0.12\", expect_size=\"49093632\"] \n  17 -> 20 [size =\"49093632\"]\n  18 [size=\"72700587\", alpha=\"0.12\", expect_size=\"21810176\"] \n  18 -> 20 [size =\"21810176\"]\n  18 -> 21 [size =\"21810176\"]\n  19 [size=\"145530880\", alpha=\"0.11\", expect_size=\"43659264\"] \n  19 -> 20 [size =\"43659264\"]\n  20 [size=\"122668373\", alpha=\"0.17\", expect_size=\"36800512\"] \n  20 -> 22 [size =\"36800512\"]\n  20 -> 23 [size =\"36800512\"]\n  20 -> 24 [size =\"36800512\"]\n  21 [size=\"68959573\", alpha=\"0.07\", expect_size=\"20687872\"] \n  21 -> 22 [size =\"20687872\"]\n  21 -> 23 [size =\"20687872\"]\n  21 -> 24 [size =\"20687872\"]\n  22 [size=\"58583040\", alpha=\"0.12\", expect_size=\"17574912\"] \n  22 -> 26 [size =\"17574912\"]\n  23 [size=\"132181333\", alpha=\"0.08\", expect_size=\"39654400\"] \n  23 -> 27 [size =\"39654400\"]\n  24 [size=\"153490773\", alpha=\"0.12\", expect_size=\"46047232\"] \n  24 -> 25 [size =\"46047232\"]\n  24 -> 26 [size =\"46047232\"]\n  24 -> 27 [size =\"46047232\"]\n  25 [size=\"119350613\", alpha=\"0.16\", expect_size=\"35805184\"] \n  25 -> 28 [size =\"35805184\"]\n  25 -> 29 [size =\"35805184\"]\n  25 -> 30 [size =\"35805184\"]\n  26 [size=\"118384640\", alpha=\"0.04\", expect_size=\"35515392\"] \n  26 -> 30 [size =\"35515392\"]\n  27 [size=\"108434773\", alpha=\"0.19\", expect_size=\"32530432\"] \n  27 -> 29 [size =\"32530432\"]\n  28 [size=\"47257600\", alpha=\"0.12\", expect_size=\"14177280\"] \n  28 -> 31 [size =\"14177280\"]\n  28 -> 32 [size =\"14177280\"]\n  29 [size=\"138390187\", alpha=\"0.04\", expect_size=\"41517056\"] \n  29 -> 31 [size =\"41517056\"]\n  30 [size=\"69891413\", alpha=\"0.11\", expect_size=\"20967424\"] \n  30 -> 32 [size =\"20967424\"]\n  31 [size=\"42400427\", alpha=\"0.18\", expect_size=\"12720128\"] \n  31 -> 33 [size =\"12720128\"]\n  31 -> 34 [size =\"12720128\"]\n  32 [size=\"95334400\", alpha=\"0.12\", expect_size=\"28600320\"] \n  32 -> 33 [size =\"28600320\"]\n  32 -> 34 [size =\"28600320\"]\n  33 [size=\"29835947\", alpha=\"0.17\", expect_size=\"8950784\"] \n  33 -> 35 [size =\"8950784\"]\n  33 -> 36 [size =\"8950784\"]\n  34 [size=\"94839467\", alpha=\"0.12\", expect_size=\"28451840\"] \n  34 -> 35 [size =\"28451840\"]\n  34 -> 37 [size =\"28451840\"]\n  35 [size=\"32720213\", alpha=\"0.10\", expect_size=\"9816064\"] \n  35 -> 38 [size =\"9816064\"]\n  35 -> 39 [size =\"9816064\"]\n  36 [size=\"156105387\", alpha=\"0.08\", expect_size=\"46831616\"] \n  36 -> 39 [size =\"46831616\"]\n  37 [size=\"33914880\", alpha=\"0.06\", expect_size=\"10174464\"] \n  37 -> 39 [size =\"10174464\"]\n  38 [size=\"28456960\", alpha=\"0.10\", expect_size=\"8537088\"] \n  38 -> 40 [size =\"8537088\"]\n  39 [size=\"126385493\", alpha=\"0.11\", expect_size=\"37915648\"] \n  39 -> 40 [size =\"37915648\"]\n  39 -> 41 [size =\"37915648\"]\n  40 [size=\"155487573\", alpha=\"0.05\", expect_size=\"46646272\"] \n  40 -> 42 [size =\"46646272\"]\n  40 -> 43 [size =\"46646272\"]\n  40 -> 44 [size =\"46646272\"]\n  41 [size=\"87261867\", alpha=\"0.06\", expect_size=\"26178560\"] \n  41 -> 42 [size =\"26178560\"]\n  41 -> 43 [size =\"26178560\"]\n  42 [size=\"74601813\", alpha=\"0.12\", expect_size=\"22380544\"] \n  42 -> 45 [size =\"22380544\"]\n  43 [size=\"166997333\", alpha=\"0.13\", expect_size=\"50099200\"] \n  44 [size=\"145616213\", alpha=\"0.10\", expect_size=\"43684864\"] \n  44 -> 45 [size =\"43684864\"]\n  44 -> 46 [size =\"43684864\"]\n  45 [size=\"82483200\", alpha=\"0.01\", expect_size=\"24744960\"] \n  45 -> 47 [size =\"24744960\"]\n  45 -> 48 [size =\"24744960\"]\n  45 -> 49 [size =\"24744960\"]\n  46 [size=\"157446827\", alpha=\"0.05\", expect_size=\"47234048\"] \n  46 -> 47 [size =\"47234048\"]\n  46 -> 48 [size =\"47234048\"]\n  47 [size=\"66560000\", alpha=\"0.00\", expect_size=\"19968000\"] \n  48 [size=\"113281707\", alpha=\"0.19\", expect_size=\"33984512\"] \n  49 [size=\"38266880\", alpha=\"0.13\", expect_size=\"11480064\"] \n  49 -> 50 [size =\"11480064\"]\n  50 [size=\"126853120\", alpha=\"0.14\", expect_size=\"38055936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.732.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122313387\", alpha=\"0.13\", expect_size=\"36694016\"] \n  1 -> 38 [size =\"36694016\"]\n  1 -> 42 [size =\"36694016\"]\n  1 -> 48 [size =\"36694016\"]\n  1 -> 50 [size =\"36694016\"]\n  2 [size=\"123006293\", alpha=\"0.03\", expect_size=\"36901888\"] \n  2 -> 37 [size =\"36901888\"]\n  2 -> 38 [size =\"36901888\"]\n  2 -> 41 [size =\"36901888\"]\n  2 -> 48 [size =\"36901888\"]\n  2 -> 50 [size =\"36901888\"]\n  3 [size=\"149466453\", alpha=\"0.03\", expect_size=\"44839936\"] \n  3 -> 36 [size =\"44839936\"]\n  3 -> 37 [size =\"44839936\"]\n  3 -> 38 [size =\"44839936\"]\n  3 -> 39 [size =\"44839936\"]\n  3 -> 42 [size =\"44839936\"]\n  3 -> 50 [size =\"44839936\"]\n  4 [size=\"35396267\", alpha=\"0.12\", expect_size=\"10618880\"] \n  4 -> 35 [size =\"10618880\"]\n  4 -> 36 [size =\"10618880\"]\n  4 -> 37 [size =\"10618880\"]\n  4 -> 38 [size =\"10618880\"]\n  4 -> 42 [size =\"10618880\"]\n  4 -> 48 [size =\"10618880\"]\n  4 -> 50 [size =\"10618880\"]\n  5 [size=\"95392427\", alpha=\"0.16\", expect_size=\"28617728\"] \n  5 -> 36 [size =\"28617728\"]\n  5 -> 38 [size =\"28617728\"]\n  5 -> 41 [size =\"28617728\"]\n  5 -> 42 [size =\"28617728\"]\n  5 -> 48 [size =\"28617728\"]\n  5 -> 50 [size =\"28617728\"]\n  6 [size=\"143114240\", alpha=\"0.20\", expect_size=\"42934272\"] \n  6 -> 37 [size =\"42934272\"]\n  6 -> 38 [size =\"42934272\"]\n  6 -> 40 [size =\"42934272\"]\n  6 -> 42 [size =\"42934272\"]\n  6 -> 44 [size =\"42934272\"]\n  6 -> 46 [size =\"42934272\"]\n  6 -> 47 [size =\"42934272\"]\n  6 -> 48 [size =\"42934272\"]\n  7 [size=\"157306880\", alpha=\"0.05\", expect_size=\"47192064\"] \n  7 -> 38 [size =\"47192064\"]\n  7 -> 39 [size =\"47192064\"]\n  7 -> 42 [size =\"47192064\"]\n  8 [size=\"170168320\", alpha=\"0.05\", expect_size=\"51050496\"] \n  8 -> 35 [size =\"51050496\"]\n  8 -> 38 [size =\"51050496\"]\n  8 -> 40 [size =\"51050496\"]\n  8 -> 41 [size =\"51050496\"]\n  8 -> 50 [size =\"51050496\"]\n  9 [size=\"173820587\", alpha=\"0.01\", expect_size=\"52146176\"] \n  9 -> 36 [size =\"52146176\"]\n  9 -> 37 [size =\"52146176\"]\n  9 -> 38 [size =\"52146176\"]\n  9 -> 40 [size =\"52146176\"]\n  10 [size=\"171687253\", alpha=\"0.12\", expect_size=\"51506176\"] \n  10 -> 40 [size =\"51506176\"]\n  10 -> 41 [size =\"51506176\"]\n  10 -> 44 [size =\"51506176\"]\n  11 [size=\"85288960\", alpha=\"0.19\", expect_size=\"25586688\"] \n  11 -> 35 [size =\"25586688\"]\n  11 -> 37 [size =\"25586688\"]\n  11 -> 38 [size =\"25586688\"]\n  11 -> 40 [size =\"25586688\"]\n  11 -> 42 [size =\"25586688\"]\n  11 -> 46 [size =\"25586688\"]\n  12 [size=\"28433067\", alpha=\"0.13\", expect_size=\"8529920\"] \n  12 -> 35 [size =\"8529920\"]\n  12 -> 37 [size =\"8529920\"]\n  12 -> 38 [size =\"8529920\"]\n  13 [size=\"49394347\", alpha=\"0.07\", expect_size=\"14818304\"] \n  13 -> 36 [size =\"14818304\"]\n  13 -> 37 [size =\"14818304\"]\n  13 -> 38 [size =\"14818304\"]\n  13 -> 42 [size =\"14818304\"]\n  13 -> 48 [size =\"14818304\"]\n  14 [size=\"69775360\", alpha=\"0.14\", expect_size=\"20932608\"] \n  14 -> 38 [size =\"20932608\"]\n  14 -> 41 [size =\"20932608\"]\n  14 -> 42 [size =\"20932608\"]\n  14 -> 49 [size =\"20932608\"]\n  15 [size=\"162983253\", alpha=\"0.10\", expect_size=\"48894976\"] \n  15 -> 36 [size =\"48894976\"]\n  15 -> 38 [size =\"48894976\"]\n  15 -> 39 [size =\"48894976\"]\n  15 -> 41 [size =\"48894976\"]\n  15 -> 42 [size =\"48894976\"]\n  15 -> 44 [size =\"48894976\"]\n  15 -> 48 [size =\"48894976\"]\n  15 -> 50 [size =\"48894976\"]\n  16 [size=\"127774720\", alpha=\"0.14\", expect_size=\"38332416\"] \n  16 -> 41 [size =\"38332416\"]\n  16 -> 42 [size =\"38332416\"]\n  16 -> 44 [size =\"38332416\"]\n  17 [size=\"124081493\", alpha=\"0.12\", expect_size=\"37224448\"] \n  17 -> 37 [size =\"37224448\"]\n  17 -> 40 [size =\"37224448\"]\n  17 -> 44 [size =\"37224448\"]\n  17 -> 48 [size =\"37224448\"]\n  18 [size=\"163068587\", alpha=\"0.11\", expect_size=\"48920576\"] \n  18 -> 41 [size =\"48920576\"]\n  18 -> 45 [size =\"48920576\"]\n  19 [size=\"45540693\", alpha=\"0.02\", expect_size=\"13662208\"] \n  19 -> 40 [size =\"13662208\"]\n  19 -> 41 [size =\"13662208\"]\n  19 -> 48 [size =\"13662208\"]\n  19 -> 50 [size =\"13662208\"]\n  20 [size=\"50964480\", alpha=\"0.20\", expect_size=\"15289344\"] \n  20 -> 36 [size =\"15289344\"]\n  20 -> 40 [size =\"15289344\"]\n  20 -> 43 [size =\"15289344\"]\n  20 -> 47 [size =\"15289344\"]\n  20 -> 48 [size =\"15289344\"]\n  21 [size=\"143431680\", alpha=\"0.11\", expect_size=\"43029504\"] \n  21 -> 37 [size =\"43029504\"]\n  21 -> 38 [size =\"43029504\"]\n  21 -> 39 [size =\"43029504\"]\n  21 -> 40 [size =\"43029504\"]\n  22 [size=\"138202453\", alpha=\"0.15\", expect_size=\"41460736\"] \n  22 -> 35 [size =\"41460736\"]\n  22 -> 40 [size =\"41460736\"]\n  23 [size=\"79441920\", alpha=\"0.16\", expect_size=\"23832576\"] \n  23 -> 35 [size =\"23832576\"]\n  23 -> 36 [size =\"23832576\"]\n  23 -> 40 [size =\"23832576\"]\n  23 -> 42 [size =\"23832576\"]\n  23 -> 44 [size =\"23832576\"]\n  24 [size=\"135365973\", alpha=\"0.19\", expect_size=\"40609792\"] \n  24 -> 35 [size =\"40609792\"]\n  24 -> 36 [size =\"40609792\"]\n  24 -> 40 [size =\"40609792\"]\n  24 -> 48 [size =\"40609792\"]\n  24 -> 50 [size =\"40609792\"]\n  25 [size=\"88002560\", alpha=\"0.12\", expect_size=\"26400768\"] \n  25 -> 42 [size =\"26400768\"]\n  25 -> 48 [size =\"26400768\"]\n  25 -> 50 [size =\"26400768\"]\n  26 [size=\"168024747\", alpha=\"0.02\", expect_size=\"50407424\"] \n  26 -> 36 [size =\"50407424\"]\n  26 -> 37 [size =\"50407424\"]\n  26 -> 40 [size =\"50407424\"]\n  26 -> 41 [size =\"50407424\"]\n  26 -> 50 [size =\"50407424\"]\n  27 [size=\"120459947\", alpha=\"0.09\", expect_size=\"36137984\"] \n  27 -> 36 [size =\"36137984\"]\n  27 -> 37 [size =\"36137984\"]\n  27 -> 38 [size =\"36137984\"]\n  27 -> 40 [size =\"36137984\"]\n  27 -> 41 [size =\"36137984\"]\n  27 -> 50 [size =\"36137984\"]\n  28 [size=\"54285653\", alpha=\"0.15\", expect_size=\"16285696\"] \n  28 -> 36 [size =\"16285696\"]\n  28 -> 37 [size =\"16285696\"]\n  28 -> 38 [size =\"16285696\"]\n  28 -> 42 [size =\"16285696\"]\n  28 -> 46 [size =\"16285696\"]\n  28 -> 50 [size =\"16285696\"]\n  29 [size=\"143800320\", alpha=\"0.01\", expect_size=\"43140096\"] \n  29 -> 36 [size =\"43140096\"]\n  29 -> 41 [size =\"43140096\"]\n  29 -> 46 [size =\"43140096\"]\n  30 [size=\"163164160\", alpha=\"0.07\", expect_size=\"48949248\"] \n  30 -> 36 [size =\"48949248\"]\n  30 -> 48 [size =\"48949248\"]\n  30 -> 50 [size =\"48949248\"]\n  31 [size=\"162590720\", alpha=\"0.01\", expect_size=\"48777216\"] \n  31 -> 36 [size =\"48777216\"]\n  31 -> 40 [size =\"48777216\"]\n  31 -> 41 [size =\"48777216\"]\n  31 -> 42 [size =\"48777216\"]\n  31 -> 44 [size =\"48777216\"]\n  31 -> 45 [size =\"48777216\"]\n  32 [size=\"89637547\", alpha=\"0.17\", expect_size=\"26891264\"] \n  32 -> 35 [size =\"26891264\"]\n  32 -> 37 [size =\"26891264\"]\n  32 -> 50 [size =\"26891264\"]\n  33 [size=\"49831253\", alpha=\"0.17\", expect_size=\"14949376\"] \n  33 -> 36 [size =\"14949376\"]\n  33 -> 41 [size =\"14949376\"]\n  33 -> 50 [size =\"14949376\"]\n  34 [size=\"17875627\", alpha=\"0.04\", expect_size=\"5362688\"] \n  34 -> 35 [size =\"5362688\"]\n  34 -> 36 [size =\"5362688\"]\n  34 -> 37 [size =\"5362688\"]\n  34 -> 40 [size =\"5362688\"]\n  34 -> 42 [size =\"5362688\"]\n  34 -> 50 [size =\"5362688\"]\n  35 [size=\"168983893\", alpha=\"0.09\", expect_size=\"50695168\"] \n  36 [size=\"109209600\", alpha=\"0.08\", expect_size=\"32762880\"] \n  37 [size=\"121480533\", alpha=\"0.01\", expect_size=\"36444160\"] \n  38 [size=\"31054507\", alpha=\"0.12\", expect_size=\"9316352\"] \n  39 [size=\"147906560\", alpha=\"0.07\", expect_size=\"44371968\"] \n  40 [size=\"156525227\", alpha=\"0.06\", expect_size=\"46957568\"] \n  41 [size=\"53835093\", alpha=\"0.01\", expect_size=\"16150528\"] \n  42 [size=\"64938667\", alpha=\"0.11\", expect_size=\"19481600\"] \n  43 [size=\"43502933\", alpha=\"0.09\", expect_size=\"13050880\"] \n  44 [size=\"21449387\", alpha=\"0.02\", expect_size=\"6434816\"] \n  45 [size=\"51083947\", alpha=\"0.05\", expect_size=\"15325184\"] \n  46 [size=\"120620373\", alpha=\"0.06\", expect_size=\"36186112\"] \n  47 [size=\"25794560\", alpha=\"0.00\", expect_size=\"7738368\"] \n  48 [size=\"30491307\", alpha=\"0.19\", expect_size=\"9147392\"] \n  49 [size=\"123023360\", alpha=\"0.15\", expect_size=\"36907008\"] \n  50 [size=\"174172160\", alpha=\"0.08\", expect_size=\"52251648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.733.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99102720\", alpha=\"0.02\", expect_size=\"29730816\"] \n  1 -> 18 [size =\"29730816\"]\n  1 -> 20 [size =\"29730816\"]\n  1 -> 22 [size =\"29730816\"]\n  1 -> 24 [size =\"29730816\"]\n  1 -> 26 [size =\"29730816\"]\n  1 -> 31 [size =\"29730816\"]\n  1 -> 32 [size =\"29730816\"]\n  1 -> 33 [size =\"29730816\"]\n  1 -> 34 [size =\"29730816\"]\n  2 [size=\"156122453\", alpha=\"0.09\", expect_size=\"46836736\"] \n  2 -> 20 [size =\"46836736\"]\n  2 -> 28 [size =\"46836736\"]\n  2 -> 30 [size =\"46836736\"]\n  2 -> 33 [size =\"46836736\"]\n  3 [size=\"80087040\", alpha=\"0.19\", expect_size=\"24026112\"] \n  3 -> 18 [size =\"24026112\"]\n  3 -> 21 [size =\"24026112\"]\n  3 -> 26 [size =\"24026112\"]\n  3 -> 30 [size =\"24026112\"]\n  3 -> 31 [size =\"24026112\"]\n  3 -> 33 [size =\"24026112\"]\n  3 -> 34 [size =\"24026112\"]\n  4 [size=\"40328533\", alpha=\"0.20\", expect_size=\"12098560\"] \n  4 -> 18 [size =\"12098560\"]\n  4 -> 22 [size =\"12098560\"]\n  4 -> 29 [size =\"12098560\"]\n  4 -> 31 [size =\"12098560\"]\n  4 -> 32 [size =\"12098560\"]\n  4 -> 33 [size =\"12098560\"]\n  4 -> 34 [size =\"12098560\"]\n  5 [size=\"132010667\", alpha=\"0.07\", expect_size=\"39603200\"] \n  5 -> 19 [size =\"39603200\"]\n  5 -> 22 [size =\"39603200\"]\n  5 -> 23 [size =\"39603200\"]\n  5 -> 24 [size =\"39603200\"]\n  5 -> 31 [size =\"39603200\"]\n  5 -> 33 [size =\"39603200\"]\n  5 -> 34 [size =\"39603200\"]\n  6 [size=\"29105493\", alpha=\"0.01\", expect_size=\"8731648\"] \n  6 -> 26 [size =\"8731648\"]\n  6 -> 31 [size =\"8731648\"]\n  6 -> 32 [size =\"8731648\"]\n  6 -> 33 [size =\"8731648\"]\n  6 -> 34 [size =\"8731648\"]\n  7 [size=\"94296747\", alpha=\"0.14\", expect_size=\"28289024\"] \n  7 -> 18 [size =\"28289024\"]\n  7 -> 26 [size =\"28289024\"]\n  7 -> 30 [size =\"28289024\"]\n  7 -> 32 [size =\"28289024\"]\n  7 -> 33 [size =\"28289024\"]\n  8 [size=\"87732907\", alpha=\"0.08\", expect_size=\"26319872\"] \n  8 -> 22 [size =\"26319872\"]\n  8 -> 26 [size =\"26319872\"]\n  8 -> 27 [size =\"26319872\"]\n  8 -> 29 [size =\"26319872\"]\n  8 -> 30 [size =\"26319872\"]\n  8 -> 32 [size =\"26319872\"]\n  9 [size=\"165625173\", alpha=\"0.12\", expect_size=\"49687552\"] \n  9 -> 26 [size =\"49687552\"]\n  9 -> 28 [size =\"49687552\"]\n  9 -> 30 [size =\"49687552\"]\n  9 -> 32 [size =\"49687552\"]\n  10 [size=\"112049493\", alpha=\"0.08\", expect_size=\"33614848\"] \n  10 -> 18 [size =\"33614848\"]\n  10 -> 25 [size =\"33614848\"]\n  10 -> 28 [size =\"33614848\"]\n  10 -> 30 [size =\"33614848\"]\n  10 -> 34 [size =\"33614848\"]\n  11 [size=\"75977387\", alpha=\"0.18\", expect_size=\"22793216\"] \n  11 -> 22 [size =\"22793216\"]\n  11 -> 27 [size =\"22793216\"]\n  11 -> 28 [size =\"22793216\"]\n  11 -> 32 [size =\"22793216\"]\n  11 -> 34 [size =\"22793216\"]\n  12 [size=\"93470720\", alpha=\"0.02\", expect_size=\"28041216\"] \n  12 -> 26 [size =\"28041216\"]\n  12 -> 27 [size =\"28041216\"]\n  12 -> 30 [size =\"28041216\"]\n  12 -> 31 [size =\"28041216\"]\n  13 [size=\"164020907\", alpha=\"0.15\", expect_size=\"49206272\"] \n  13 -> 18 [size =\"49206272\"]\n  13 -> 22 [size =\"49206272\"]\n  13 -> 24 [size =\"49206272\"]\n  13 -> 26 [size =\"49206272\"]\n  13 -> 27 [size =\"49206272\"]\n  13 -> 28 [size =\"49206272\"]\n  13 -> 29 [size =\"49206272\"]\n  13 -> 31 [size =\"49206272\"]\n  14 [size=\"153944747\", alpha=\"0.19\", expect_size=\"46183424\"] \n  14 -> 19 [size =\"46183424\"]\n  14 -> 23 [size =\"46183424\"]\n  14 -> 24 [size =\"46183424\"]\n  14 -> 26 [size =\"46183424\"]\n  14 -> 32 [size =\"46183424\"]\n  15 [size=\"150254933\", alpha=\"0.12\", expect_size=\"45076480\"] \n  15 -> 32 [size =\"45076480\"]\n  16 [size=\"44096853\", alpha=\"0.18\", expect_size=\"13229056\"] \n  16 -> 26 [size =\"13229056\"]\n  17 [size=\"49012053\", alpha=\"0.01\", expect_size=\"14703616\"] \n  17 -> 22 [size =\"14703616\"]\n  17 -> 24 [size =\"14703616\"]\n  17 -> 34 [size =\"14703616\"]\n  18 [size=\"160737280\", alpha=\"0.05\", expect_size=\"48221184\"] \n  18 -> 35 [size =\"48221184\"]\n  18 -> 43 [size =\"48221184\"]\n  18 -> 46 [size =\"48221184\"]\n  19 [size=\"68044800\", alpha=\"0.10\", expect_size=\"20413440\"] \n  19 -> 36 [size =\"20413440\"]\n  19 -> 38 [size =\"20413440\"]\n  19 -> 45 [size =\"20413440\"]\n  19 -> 47 [size =\"20413440\"]\n  19 -> 50 [size =\"20413440\"]\n  20 [size=\"163218773\", alpha=\"0.10\", expect_size=\"48965632\"] \n  20 -> 36 [size =\"48965632\"]\n  20 -> 40 [size =\"48965632\"]\n  21 [size=\"65993387\", alpha=\"0.20\", expect_size=\"19798016\"] \n  21 -> 35 [size =\"19798016\"]\n  21 -> 42 [size =\"19798016\"]\n  21 -> 48 [size =\"19798016\"]\n  22 [size=\"48442027\", alpha=\"0.08\", expect_size=\"14532608\"] \n  22 -> 37 [size =\"14532608\"]\n  22 -> 42 [size =\"14532608\"]\n  22 -> 48 [size =\"14532608\"]\n  22 -> 50 [size =\"14532608\"]\n  23 [size=\"66024107\", alpha=\"0.03\", expect_size=\"19807232\"] \n  23 -> 36 [size =\"19807232\"]\n  23 -> 38 [size =\"19807232\"]\n  23 -> 39 [size =\"19807232\"]\n  23 -> 42 [size =\"19807232\"]\n  23 -> 43 [size =\"19807232\"]\n  23 -> 46 [size =\"19807232\"]\n  23 -> 47 [size =\"19807232\"]\n  23 -> 48 [size =\"19807232\"]\n  24 [size=\"28347733\", alpha=\"0.02\", expect_size=\"8504320\"] \n  24 -> 35 [size =\"8504320\"]\n  24 -> 37 [size =\"8504320\"]\n  24 -> 43 [size =\"8504320\"]\n  24 -> 47 [size =\"8504320\"]\n  24 -> 50 [size =\"8504320\"]\n  25 [size=\"21572267\", alpha=\"0.15\", expect_size=\"6471680\"] \n  25 -> 35 [size =\"6471680\"]\n  25 -> 36 [size =\"6471680\"]\n  25 -> 37 [size =\"6471680\"]\n  25 -> 39 [size =\"6471680\"]\n  25 -> 40 [size =\"6471680\"]\n  25 -> 41 [size =\"6471680\"]\n  25 -> 42 [size =\"6471680\"]\n  25 -> 46 [size =\"6471680\"]\n  25 -> 47 [size =\"6471680\"]\n  25 -> 50 [size =\"6471680\"]\n  26 [size=\"115428693\", alpha=\"0.10\", expect_size=\"34628608\"] \n  26 -> 39 [size =\"34628608\"]\n  26 -> 41 [size =\"34628608\"]\n  26 -> 42 [size =\"34628608\"]\n  26 -> 43 [size =\"34628608\"]\n  26 -> 47 [size =\"34628608\"]\n  26 -> 48 [size =\"34628608\"]\n  26 -> 50 [size =\"34628608\"]\n  27 [size=\"99317760\", alpha=\"0.15\", expect_size=\"29795328\"] \n  27 -> 36 [size =\"29795328\"]\n  27 -> 38 [size =\"29795328\"]\n  27 -> 39 [size =\"29795328\"]\n  27 -> 42 [size =\"29795328\"]\n  27 -> 46 [size =\"29795328\"]\n  27 -> 47 [size =\"29795328\"]\n  27 -> 48 [size =\"29795328\"]\n  27 -> 49 [size =\"29795328\"]\n  28 [size=\"107479040\", alpha=\"0.08\", expect_size=\"32243712\"] \n  28 -> 36 [size =\"32243712\"]\n  28 -> 39 [size =\"32243712\"]\n  28 -> 39 [size =\"32243712\"]\n  28 -> 40 [size =\"32243712\"]\n  28 -> 46 [size =\"32243712\"]\n  28 -> 48 [size =\"32243712\"]\n  28 -> 49 [size =\"32243712\"]\n  29 [size=\"149043200\", alpha=\"0.00\", expect_size=\"44712960\"] \n  29 -> 35 [size =\"44712960\"]\n  29 -> 39 [size =\"44712960\"]\n  29 -> 46 [size =\"44712960\"]\n  29 -> 47 [size =\"44712960\"]\n  29 -> 48 [size =\"44712960\"]\n  29 -> 49 [size =\"44712960\"]\n  30 [size=\"68031147\", alpha=\"0.05\", expect_size=\"20409344\"] \n  30 -> 37 [size =\"20409344\"]\n  30 -> 38 [size =\"20409344\"]\n  30 -> 40 [size =\"20409344\"]\n  30 -> 42 [size =\"20409344\"]\n  30 -> 43 [size =\"20409344\"]\n  30 -> 47 [size =\"20409344\"]\n  30 -> 48 [size =\"20409344\"]\n  30 -> 50 [size =\"20409344\"]\n  31 [size=\"142861653\", alpha=\"0.16\", expect_size=\"42858496\"] \n  31 -> 36 [size =\"42858496\"]\n  31 -> 38 [size =\"42858496\"]\n  31 -> 40 [size =\"42858496\"]\n  31 -> 43 [size =\"42858496\"]\n  31 -> 48 [size =\"42858496\"]\n  32 [size=\"140598613\", alpha=\"0.18\", expect_size=\"42179584\"] \n  32 -> 36 [size =\"42179584\"]\n  32 -> 38 [size =\"42179584\"]\n  32 -> 41 [size =\"42179584\"]\n  32 -> 42 [size =\"42179584\"]\n  32 -> 43 [size =\"42179584\"]\n  32 -> 44 [size =\"42179584\"]\n  33 [size=\"42598400\", alpha=\"0.18\", expect_size=\"12779520\"] \n  33 -> 36 [size =\"12779520\"]\n  33 -> 43 [size =\"12779520\"]\n  33 -> 47 [size =\"12779520\"]\n  33 -> 50 [size =\"12779520\"]\n  34 [size=\"68761600\", alpha=\"0.15\", expect_size=\"20628480\"] \n  34 -> 36 [size =\"20628480\"]\n  34 -> 37 [size =\"20628480\"]\n  34 -> 39 [size =\"20628480\"]\n  34 -> 40 [size =\"20628480\"]\n  34 -> 41 [size =\"20628480\"]\n  34 -> 43 [size =\"20628480\"]\n  34 -> 46 [size =\"20628480\"]\n  34 -> 47 [size =\"20628480\"]\n  35 [size=\"84660907\", alpha=\"0.09\", expect_size=\"25398272\"] \n  36 [size=\"47537493\", alpha=\"0.07\", expect_size=\"14261248\"] \n  37 [size=\"126317227\", alpha=\"0.09\", expect_size=\"37895168\"] \n  38 [size=\"83247787\", alpha=\"0.09\", expect_size=\"24974336\"] \n  39 [size=\"145868800\", alpha=\"0.15\", expect_size=\"43760640\"] \n  40 [size=\"147763200\", alpha=\"0.20\", expect_size=\"44328960\"] \n  41 [size=\"26214400\", alpha=\"0.11\", expect_size=\"7864320\"] \n  42 [size=\"154299733\", alpha=\"0.06\", expect_size=\"46289920\"] \n  43 [size=\"136157867\", alpha=\"0.07\", expect_size=\"40847360\"] \n  44 [size=\"118333440\", alpha=\"0.09\", expect_size=\"35500032\"] \n  45 [size=\"80011947\", alpha=\"0.12\", expect_size=\"24003584\"] \n  46 [size=\"153975467\", alpha=\"0.08\", expect_size=\"46192640\"] \n  47 [size=\"52268373\", alpha=\"0.14\", expect_size=\"15680512\"] \n  48 [size=\"121006080\", alpha=\"0.11\", expect_size=\"36301824\"] \n  49 [size=\"31593813\", alpha=\"0.05\", expect_size=\"9478144\"] \n  50 [size=\"149169493\", alpha=\"0.06\", expect_size=\"44750848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.734.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79708160\", alpha=\"0.08\", expect_size=\"31883264\"] \n  2 [size=\"33879040\", alpha=\"0.17\", expect_size=\"13551616\"] \n  2 -> 3 [size =\"13551616\"]\n  2 -> 4 [size =\"13551616\"]\n  2 -> 5 [size =\"13551616\"]\n  3 [size=\"61614080\", alpha=\"0.07\", expect_size=\"24645632\"] \n  3 -> 6 [size =\"24645632\"]\n  4 [size=\"119096320\", alpha=\"0.14\", expect_size=\"47638528\"] \n  4 -> 7 [size =\"47638528\"]\n  5 [size=\"19944960\", alpha=\"0.15\", expect_size=\"7977984\"] \n  6 [size=\"91174400\", alpha=\"0.07\", expect_size=\"36469760\"] \n  7 [size=\"99153920\", alpha=\"0.12\", expect_size=\"39661568\"] \n  7 -> 8 [size =\"39661568\"]\n  8 [size=\"34053120\", alpha=\"0.01\", expect_size=\"13621248\"] \n  8 -> 9 [size =\"13621248\"]\n  8 -> 10 [size =\"13621248\"]\n  8 -> 11 [size =\"13621248\"]\n  8 -> 12 [size =\"13621248\"]\n  9 [size=\"51481600\", alpha=\"0.08\", expect_size=\"20592640\"] \n  9 -> 13 [size =\"20592640\"]\n  10 [size=\"105838080\", alpha=\"0.02\", expect_size=\"42335232\"] \n  11 [size=\"58357760\", alpha=\"0.11\", expect_size=\"23343104\"] \n  12 [size=\"106344960\", alpha=\"0.18\", expect_size=\"42537984\"] \n  12 -> 13 [size =\"42537984\"]\n  13 [size=\"86794240\", alpha=\"0.13\", expect_size=\"34717696\"] \n  13 -> 14 [size =\"34717696\"]\n  13 -> 15 [size =\"34717696\"]\n  13 -> 16 [size =\"34717696\"]\n  14 [size=\"126348800\", alpha=\"0.19\", expect_size=\"50539520\"] \n  14 -> 19 [size =\"50539520\"]\n  15 [size=\"92382720\", alpha=\"0.04\", expect_size=\"36953088\"] \n  15 -> 17 [size =\"36953088\"]\n  16 [size=\"64788480\", alpha=\"0.05\", expect_size=\"25915392\"] \n  16 -> 18 [size =\"25915392\"]\n  17 [size=\"103383040\", alpha=\"0.09\", expect_size=\"41353216\"] \n  17 -> 22 [size =\"41353216\"]\n  18 [size=\"54899200\", alpha=\"0.09\", expect_size=\"21959680\"] \n  18 -> 20 [size =\"21959680\"]\n  18 -> 21 [size =\"21959680\"]\n  19 [size=\"60979200\", alpha=\"0.20\", expect_size=\"24391680\"] \n  19 -> 20 [size =\"24391680\"]\n  19 -> 21 [size =\"24391680\"]\n  19 -> 22 [size =\"24391680\"]\n  20 [size=\"109196800\", alpha=\"0.03\", expect_size=\"43678720\"] \n  21 [size=\"119736320\", alpha=\"0.17\", expect_size=\"47894528\"] \n  21 -> 23 [size =\"47894528\"]\n  22 [size=\"66385920\", alpha=\"0.15\", expect_size=\"26554368\"] \n  23 [size=\"52846080\", alpha=\"0.01\", expect_size=\"21138432\"] \n  23 -> 24 [size =\"21138432\"]\n  23 -> 25 [size =\"21138432\"]\n  24 [size=\"126807040\", alpha=\"0.05\", expect_size=\"50722816\"] \n  24 -> 27 [size =\"50722816\"]\n  25 [size=\"123691520\", alpha=\"0.10\", expect_size=\"49476608\"] \n  25 -> 26 [size =\"49476608\"]\n  26 [size=\"28976640\", alpha=\"0.08\", expect_size=\"11590656\"] \n  26 -> 29 [size =\"11590656\"]\n  27 [size=\"56896000\", alpha=\"0.01\", expect_size=\"22758400\"] \n  27 -> 28 [size =\"22758400\"]\n  28 [size=\"109606400\", alpha=\"0.18\", expect_size=\"43842560\"] \n  28 -> 30 [size =\"43842560\"]\n  28 -> 32 [size =\"43842560\"]\n  29 [size=\"45946880\", alpha=\"0.01\", expect_size=\"18378752\"] \n  29 -> 31 [size =\"18378752\"]\n  30 [size=\"43671040\", alpha=\"0.19\", expect_size=\"17468416\"] \n  31 [size=\"58979840\", alpha=\"0.06\", expect_size=\"23591936\"] \n  32 [size=\"40514560\", alpha=\"0.08\", expect_size=\"16205824\"] \n  32 -> 33 [size =\"16205824\"]\n  32 -> 34 [size =\"16205824\"]\n  33 [size=\"127014400\", alpha=\"0.03\", expect_size=\"50805760\"] \n  33 -> 35 [size =\"50805760\"]\n  34 [size=\"131054080\", alpha=\"0.17\", expect_size=\"52421632\"] \n  35 [size=\"40660480\", alpha=\"0.04\", expect_size=\"16264192\"] \n  35 -> 36 [size =\"16264192\"]\n  35 -> 37 [size =\"16264192\"]\n  35 -> 38 [size =\"16264192\"]\n  36 [size=\"98603520\", alpha=\"0.00\", expect_size=\"39441408\"] \n  37 [size=\"29056000\", alpha=\"0.12\", expect_size=\"11622400\"] \n  37 -> 39 [size =\"11622400\"]\n  38 [size=\"36029440\", alpha=\"0.10\", expect_size=\"14411776\"] \n  38 -> 40 [size =\"14411776\"]\n  39 [size=\"22510080\", alpha=\"0.17\", expect_size=\"9004032\"] \n  39 -> 41 [size =\"9004032\"]\n  39 -> 42 [size =\"9004032\"]\n  40 [size=\"26872320\", alpha=\"0.20\", expect_size=\"10748928\"] \n  41 [size=\"23882240\", alpha=\"0.01\", expect_size=\"9552896\"] \n  41 -> 43 [size =\"9552896\"]\n  41 -> 44 [size =\"9552896\"]\n  41 -> 45 [size =\"9552896\"]\n  42 [size=\"58790400\", alpha=\"0.11\", expect_size=\"23516160\"] \n  43 [size=\"106872320\", alpha=\"0.08\", expect_size=\"42748928\"] \n  44 [size=\"123850240\", alpha=\"0.04\", expect_size=\"49540096\"] \n  44 -> 46 [size =\"49540096\"]\n  44 -> 47 [size =\"49540096\"]\n  44 -> 48 [size =\"49540096\"]\n  45 [size=\"105008640\", alpha=\"0.19\", expect_size=\"42003456\"] \n  45 -> 46 [size =\"42003456\"]\n  46 [size=\"129617920\", alpha=\"0.16\", expect_size=\"51847168\"] \n  47 [size=\"13437440\", alpha=\"0.01\", expect_size=\"5374976\"] \n  47 -> 49 [size =\"5374976\"]\n  48 [size=\"82664960\", alpha=\"0.02\", expect_size=\"33065984\"] \n  48 -> 49 [size =\"33065984\"]\n  48 -> 50 [size =\"33065984\"]\n  49 [size=\"25205760\", alpha=\"0.09\", expect_size=\"10082304\"] \n  50 [size=\"124856320\", alpha=\"0.01\", expect_size=\"49942528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.735.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98037760\", alpha=\"0.04\", expect_size=\"39215104\"] \n  1 -> 3 [size =\"39215104\"]\n  1 -> 4 [size =\"39215104\"]\n  1 -> 5 [size =\"39215104\"]\n  1 -> 6 [size =\"39215104\"]\n  2 [size=\"117286400\", alpha=\"0.15\", expect_size=\"46914560\"] \n  2 -> 4 [size =\"46914560\"]\n  2 -> 6 [size =\"46914560\"]\n  3 [size=\"42137600\", alpha=\"0.08\", expect_size=\"16855040\"] \n  3 -> 7 [size =\"16855040\"]\n  3 -> 8 [size =\"16855040\"]\n  4 [size=\"82995200\", alpha=\"0.06\", expect_size=\"33198080\"] \n  4 -> 7 [size =\"33198080\"]\n  4 -> 8 [size =\"33198080\"]\n  5 [size=\"22476800\", alpha=\"0.01\", expect_size=\"8990720\"] \n  5 -> 7 [size =\"8990720\"]\n  6 [size=\"22638080\", alpha=\"0.09\", expect_size=\"9055232\"] \n  6 -> 7 [size =\"9055232\"]\n  6 -> 8 [size =\"9055232\"]\n  7 [size=\"102699520\", alpha=\"0.03\", expect_size=\"41079808\"] \n  7 -> 9 [size =\"41079808\"]\n  7 -> 10 [size =\"41079808\"]\n  8 [size=\"113697280\", alpha=\"0.12\", expect_size=\"45478912\"] \n  8 -> 9 [size =\"45478912\"]\n  9 [size=\"49338880\", alpha=\"0.09\", expect_size=\"19735552\"] \n  9 -> 12 [size =\"19735552\"]\n  9 -> 13 [size =\"19735552\"]\n  10 [size=\"96012800\", alpha=\"0.18\", expect_size=\"38405120\"] \n  10 -> 11 [size =\"38405120\"]\n  10 -> 12 [size =\"38405120\"]\n  10 -> 13 [size =\"38405120\"]\n  11 [size=\"76733440\", alpha=\"0.08\", expect_size=\"30693376\"] \n  11 -> 14 [size =\"30693376\"]\n  12 [size=\"101905920\", alpha=\"0.11\", expect_size=\"40762368\"] \n  12 -> 14 [size =\"40762368\"]\n  13 [size=\"74938880\", alpha=\"0.13\", expect_size=\"29975552\"] \n  13 -> 14 [size =\"29975552\"]\n  14 [size=\"120432640\", alpha=\"0.19\", expect_size=\"48173056\"] \n  14 -> 15 [size =\"48173056\"]\n  14 -> 16 [size =\"48173056\"]\n  15 [size=\"40071680\", alpha=\"0.11\", expect_size=\"16028672\"] \n  15 -> 17 [size =\"16028672\"]\n  16 [size=\"47866880\", alpha=\"0.10\", expect_size=\"19146752\"] \n  16 -> 17 [size =\"19146752\"]\n  16 -> 18 [size =\"19146752\"]\n  17 [size=\"103887360\", alpha=\"0.14\", expect_size=\"41554944\"] \n  17 -> 19 [size =\"41554944\"]\n  17 -> 20 [size =\"41554944\"]\n  17 -> 21 [size =\"41554944\"]\n  18 [size=\"123665920\", alpha=\"0.13\", expect_size=\"49466368\"] \n  18 -> 19 [size =\"49466368\"]\n  18 -> 20 [size =\"49466368\"]\n  18 -> 21 [size =\"49466368\"]\n  19 [size=\"73932800\", alpha=\"0.04\", expect_size=\"29573120\"] \n  19 -> 22 [size =\"29573120\"]\n  19 -> 23 [size =\"29573120\"]\n  20 [size=\"127380480\", alpha=\"0.11\", expect_size=\"50952192\"] \n  20 -> 22 [size =\"50952192\"]\n  20 -> 23 [size =\"50952192\"]\n  21 [size=\"116910080\", alpha=\"0.13\", expect_size=\"46764032\"] \n  21 -> 23 [size =\"46764032\"]\n  22 [size=\"44787200\", alpha=\"0.13\", expect_size=\"17914880\"] \n  22 -> 24 [size =\"17914880\"]\n  22 -> 25 [size =\"17914880\"]\n  22 -> 26 [size =\"17914880\"]\n  23 [size=\"107568640\", alpha=\"0.18\", expect_size=\"43027456\"] \n  23 -> 24 [size =\"43027456\"]\n  23 -> 26 [size =\"43027456\"]\n  24 [size=\"65059840\", alpha=\"0.14\", expect_size=\"26023936\"] \n  24 -> 27 [size =\"26023936\"]\n  25 [size=\"59637760\", alpha=\"0.12\", expect_size=\"23855104\"] \n  25 -> 27 [size =\"23855104\"]\n  26 [size=\"127083520\", alpha=\"0.12\", expect_size=\"50833408\"] \n  26 -> 27 [size =\"50833408\"]\n  27 [size=\"70453760\", alpha=\"0.07\", expect_size=\"28181504\"] \n  27 -> 28 [size =\"28181504\"]\n  27 -> 29 [size =\"28181504\"]\n  27 -> 30 [size =\"28181504\"]\n  28 [size=\"36362240\", alpha=\"0.19\", expect_size=\"14544896\"] \n  28 -> 31 [size =\"14544896\"]\n  28 -> 32 [size =\"14544896\"]\n  29 [size=\"114237440\", alpha=\"0.17\", expect_size=\"45694976\"] \n  29 -> 31 [size =\"45694976\"]\n  29 -> 32 [size =\"45694976\"]\n  30 [size=\"18140160\", alpha=\"0.09\", expect_size=\"7256064\"] \n  30 -> 31 [size =\"7256064\"]\n  31 [size=\"85288960\", alpha=\"0.12\", expect_size=\"34115584\"] \n  31 -> 33 [size =\"34115584\"]\n  32 [size=\"46722560\", alpha=\"0.10\", expect_size=\"18689024\"] \n  32 -> 33 [size =\"18689024\"]\n  32 -> 34 [size =\"18689024\"]\n  33 [size=\"124582400\", alpha=\"0.19\", expect_size=\"49832960\"] \n  33 -> 35 [size =\"49832960\"]\n  33 -> 36 [size =\"49832960\"]\n  33 -> 37 [size =\"49832960\"]\n  34 [size=\"111971840\", alpha=\"0.05\", expect_size=\"44788736\"] \n  34 -> 35 [size =\"44788736\"]\n  34 -> 36 [size =\"44788736\"]\n  34 -> 37 [size =\"44788736\"]\n  35 [size=\"78778880\", alpha=\"0.17\", expect_size=\"31511552\"] \n  35 -> 38 [size =\"31511552\"]\n  35 -> 39 [size =\"31511552\"]\n  36 [size=\"34378240\", alpha=\"0.14\", expect_size=\"13751296\"] \n  36 -> 38 [size =\"13751296\"]\n  36 -> 39 [size =\"13751296\"]\n  36 -> 40 [size =\"13751296\"]\n  36 -> 41 [size =\"13751296\"]\n  37 [size=\"106263040\", alpha=\"0.06\", expect_size=\"42505216\"] \n  37 -> 38 [size =\"42505216\"]\n  37 -> 39 [size =\"42505216\"]\n  38 [size=\"30133760\", alpha=\"0.18\", expect_size=\"12053504\"] \n  38 -> 43 [size =\"12053504\"]\n  39 [size=\"24545280\", alpha=\"0.19\", expect_size=\"9818112\"] \n  40 [size=\"125731840\", alpha=\"0.00\", expect_size=\"50292736\"] \n  40 -> 43 [size =\"50292736\"]\n  41 [size=\"62704640\", alpha=\"0.19\", expect_size=\"25081856\"] \n  41 -> 42 [size =\"25081856\"]\n  41 -> 43 [size =\"25081856\"]\n  42 [size=\"17057280\", alpha=\"0.03\", expect_size=\"6822912\"] \n  42 -> 44 [size =\"6822912\"]\n  42 -> 45 [size =\"6822912\"]\n  42 -> 46 [size =\"6822912\"]\n  42 -> 47 [size =\"6822912\"]\n  43 [size=\"77591040\", alpha=\"0.03\", expect_size=\"31036416\"] \n  43 -> 44 [size =\"31036416\"]\n  43 -> 45 [size =\"31036416\"]\n  43 -> 46 [size =\"31036416\"]\n  43 -> 47 [size =\"31036416\"]\n  44 [size=\"70205440\", alpha=\"0.11\", expect_size=\"28082176\"] \n  45 [size=\"102233600\", alpha=\"0.08\", expect_size=\"40893440\"] \n  45 -> 48 [size =\"40893440\"]\n  45 -> 49 [size =\"40893440\"]\n  46 [size=\"82672640\", alpha=\"0.04\", expect_size=\"33069056\"] \n  46 -> 48 [size =\"33069056\"]\n  47 [size=\"46282240\", alpha=\"0.10\", expect_size=\"18512896\"] \n  47 -> 49 [size =\"18512896\"]\n  48 [size=\"83847680\", alpha=\"0.19\", expect_size=\"33539072\"] \n  48 -> 50 [size =\"33539072\"]\n  49 [size=\"69995520\", alpha=\"0.06\", expect_size=\"27998208\"] \n  50 [size=\"65551360\", alpha=\"0.14\", expect_size=\"26220544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.736.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60556800\", alpha=\"0.08\", expect_size=\"24222720\"] \n  1 -> 11 [size =\"24222720\"]\n  1 -> 12 [size =\"24222720\"]\n  2 [size=\"18867200\", alpha=\"0.08\", expect_size=\"7546880\"] \n  2 -> 11 [size =\"7546880\"]\n  3 [size=\"128852480\", alpha=\"0.18\", expect_size=\"51540992\"] \n  3 -> 11 [size =\"51540992\"]\n  3 -> 12 [size =\"51540992\"]\n  4 [size=\"40015360\", alpha=\"0.19\", expect_size=\"16006144\"] \n  4 -> 13 [size =\"16006144\"]\n  4 -> 14 [size =\"16006144\"]\n  5 [size=\"108441600\", alpha=\"0.19\", expect_size=\"43376640\"] \n  5 -> 10 [size =\"43376640\"]\n  5 -> 14 [size =\"43376640\"]\n  6 [size=\"109601280\", alpha=\"0.13\", expect_size=\"43840512\"] \n  6 -> 10 [size =\"43840512\"]\n  7 [size=\"84805120\", alpha=\"0.09\", expect_size=\"33922048\"] \n  8 [size=\"47214080\", alpha=\"0.15\", expect_size=\"18885632\"] \n  8 -> 12 [size =\"18885632\"]\n  9 [size=\"57226240\", alpha=\"0.17\", expect_size=\"22890496\"] \n  9 -> 10 [size =\"22890496\"]\n  9 -> 11 [size =\"22890496\"]\n  10 [size=\"108431360\", alpha=\"0.06\", expect_size=\"43372544\"] \n  11 [size=\"23362560\", alpha=\"0.00\", expect_size=\"9345024\"] \n  11 -> 15 [size =\"9345024\"]\n  11 -> 16 [size =\"9345024\"]\n  11 -> 18 [size =\"9345024\"]\n  12 [size=\"71019520\", alpha=\"0.00\", expect_size=\"28407808\"] \n  12 -> 16 [size =\"28407808\"]\n  12 -> 17 [size =\"28407808\"]\n  13 [size=\"120796160\", alpha=\"0.05\", expect_size=\"48318464\"] \n  14 [size=\"109624320\", alpha=\"0.00\", expect_size=\"43849728\"] \n  14 -> 17 [size =\"43849728\"]\n  14 -> 18 [size =\"43849728\"]\n  15 [size=\"104742400\", alpha=\"0.17\", expect_size=\"41896960\"] \n  15 -> 22 [size =\"41896960\"]\n  15 -> 24 [size =\"41896960\"]\n  15 -> 27 [size =\"41896960\"]\n  15 -> 28 [size =\"41896960\"]\n  16 [size=\"96299520\", alpha=\"0.19\", expect_size=\"38519808\"] \n  16 -> 23 [size =\"38519808\"]\n  16 -> 24 [size =\"38519808\"]\n  16 -> 27 [size =\"38519808\"]\n  17 [size=\"55994880\", alpha=\"0.14\", expect_size=\"22397952\"] \n  17 -> 20 [size =\"22397952\"]\n  17 -> 26 [size =\"22397952\"]\n  17 -> 28 [size =\"22397952\"]\n  18 [size=\"111953920\", alpha=\"0.07\", expect_size=\"44781568\"] \n  18 -> 19 [size =\"44781568\"]\n  18 -> 21 [size =\"44781568\"]\n  18 -> 22 [size =\"44781568\"]\n  18 -> 23 [size =\"44781568\"]\n  18 -> 25 [size =\"44781568\"]\n  18 -> 26 [size =\"44781568\"]\n  19 [size=\"79639040\", alpha=\"0.20\", expect_size=\"31855616\"] \n  19 -> 32 [size =\"31855616\"]\n  20 [size=\"59878400\", alpha=\"0.13\", expect_size=\"23951360\"] \n  20 -> 29 [size =\"23951360\"]\n  20 -> 31 [size =\"23951360\"]\n  21 [size=\"97722880\", alpha=\"0.14\", expect_size=\"39089152\"] \n  22 [size=\"100088320\", alpha=\"0.16\", expect_size=\"40035328\"] \n  22 -> 31 [size =\"40035328\"]\n  23 [size=\"102417920\", alpha=\"0.18\", expect_size=\"40967168\"] \n  24 [size=\"130777600\", alpha=\"0.04\", expect_size=\"52311040\"] \n  24 -> 29 [size =\"52311040\"]\n  25 [size=\"131020800\", alpha=\"0.07\", expect_size=\"52408320\"] \n  25 -> 32 [size =\"52408320\"]\n  26 [size=\"114657280\", alpha=\"0.06\", expect_size=\"45862912\"] \n  26 -> 30 [size =\"45862912\"]\n  26 -> 31 [size =\"45862912\"]\n  26 -> 32 [size =\"45862912\"]\n  27 [size=\"107059200\", alpha=\"0.17\", expect_size=\"42823680\"] \n  27 -> 32 [size =\"42823680\"]\n  28 [size=\"71106560\", alpha=\"0.14\", expect_size=\"28442624\"] \n  28 -> 29 [size =\"28442624\"]\n  28 -> 32 [size =\"28442624\"]\n  29 [size=\"115064320\", alpha=\"0.18\", expect_size=\"46025728\"] \n  29 -> 34 [size =\"46025728\"]\n  30 [size=\"113484800\", alpha=\"0.19\", expect_size=\"45393920\"] \n  30 -> 36 [size =\"45393920\"]\n  30 -> 37 [size =\"45393920\"]\n  31 [size=\"71577600\", alpha=\"0.01\", expect_size=\"28631040\"] \n  31 -> 33 [size =\"28631040\"]\n  31 -> 35 [size =\"28631040\"]\n  31 -> 38 [size =\"28631040\"]\n  32 [size=\"36797440\", alpha=\"0.13\", expect_size=\"14718976\"] \n  32 -> 33 [size =\"14718976\"]\n  32 -> 34 [size =\"14718976\"]\n  32 -> 35 [size =\"14718976\"]\n  32 -> 37 [size =\"14718976\"]\n  33 [size=\"14904320\", alpha=\"0.03\", expect_size=\"5961728\"] \n  33 -> 39 [size =\"5961728\"]\n  34 [size=\"121643520\", alpha=\"0.10\", expect_size=\"48657408\"] \n  34 -> 39 [size =\"48657408\"]\n  34 -> 40 [size =\"48657408\"]\n  35 [size=\"30031360\", alpha=\"0.12\", expect_size=\"12012544\"] \n  36 [size=\"71334400\", alpha=\"0.08\", expect_size=\"28533760\"] \n  36 -> 41 [size =\"28533760\"]\n  37 [size=\"106117120\", alpha=\"0.12\", expect_size=\"42446848\"] \n  37 -> 40 [size =\"42446848\"]\n  38 [size=\"88112640\", alpha=\"0.12\", expect_size=\"35245056\"] \n  38 -> 40 [size =\"35245056\"]\n  39 [size=\"51430400\", alpha=\"0.04\", expect_size=\"20572160\"] \n  39 -> 46 [size =\"20572160\"]\n  39 -> 47 [size =\"20572160\"]\n  40 [size=\"40189440\", alpha=\"0.03\", expect_size=\"16075776\"] \n  40 -> 42 [size =\"16075776\"]\n  41 [size=\"31751680\", alpha=\"0.17\", expect_size=\"12700672\"] \n  41 -> 43 [size =\"12700672\"]\n  41 -> 44 [size =\"12700672\"]\n  41 -> 45 [size =\"12700672\"]\n  42 [size=\"36372480\", alpha=\"0.06\", expect_size=\"14548992\"] \n  42 -> 49 [size =\"14548992\"]\n  43 [size=\"111964160\", alpha=\"0.10\", expect_size=\"44785664\"] \n  44 [size=\"130288640\", alpha=\"0.13\", expect_size=\"52115456\"] \n  44 -> 48 [size =\"52115456\"]\n  45 [size=\"69898240\", alpha=\"0.17\", expect_size=\"27959296\"] \n  45 -> 49 [size =\"27959296\"]\n  46 [size=\"22428160\", alpha=\"0.18\", expect_size=\"8971264\"] \n  46 -> 50 [size =\"8971264\"]\n  47 [size=\"71073280\", alpha=\"0.15\", expect_size=\"28429312\"] \n  48 [size=\"22794240\", alpha=\"0.01\", expect_size=\"9117696\"] \n  49 [size=\"94402560\", alpha=\"0.05\", expect_size=\"37761024\"] \n  50 [size=\"116503040\", alpha=\"0.06\", expect_size=\"46601216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.737.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59834880\", alpha=\"0.04\", expect_size=\"23933952\"] \n  1 -> 8 [size =\"23933952\"]\n  2 [size=\"99832320\", alpha=\"0.02\", expect_size=\"39932928\"] \n  2 -> 5 [size =\"39932928\"]\n  2 -> 6 [size =\"39932928\"]\n  3 [size=\"120916480\", alpha=\"0.12\", expect_size=\"48366592\"] \n  3 -> 7 [size =\"48366592\"]\n  4 [size=\"65502720\", alpha=\"0.12\", expect_size=\"26201088\"] \n  4 -> 5 [size =\"26201088\"]\n  4 -> 7 [size =\"26201088\"]\n  5 [size=\"85713920\", alpha=\"0.16\", expect_size=\"34285568\"] \n  5 -> 12 [size =\"34285568\"]\n  5 -> 15 [size =\"34285568\"]\n  6 [size=\"93908480\", alpha=\"0.11\", expect_size=\"37563392\"] \n  6 -> 10 [size =\"37563392\"]\n  6 -> 11 [size =\"37563392\"]\n  6 -> 13 [size =\"37563392\"]\n  7 [size=\"24271360\", alpha=\"0.19\", expect_size=\"9708544\"] \n  7 -> 10 [size =\"9708544\"]\n  7 -> 11 [size =\"9708544\"]\n  7 -> 14 [size =\"9708544\"]\n  7 -> 15 [size =\"9708544\"]\n  8 [size=\"86451200\", alpha=\"0.02\", expect_size=\"34580480\"] \n  8 -> 9 [size =\"34580480\"]\n  8 -> 14 [size =\"34580480\"]\n  8 -> 14 [size =\"34580480\"]\n  8 -> 15 [size =\"34580480\"]\n  8 -> 16 [size =\"34580480\"]\n  9 [size=\"96035840\", alpha=\"0.14\", expect_size=\"38414336\"] \n  9 -> 21 [size =\"38414336\"]\n  9 -> 22 [size =\"38414336\"]\n  10 [size=\"93496320\", alpha=\"0.09\", expect_size=\"37398528\"] \n  10 -> 17 [size =\"37398528\"]\n  10 -> 19 [size =\"37398528\"]\n  11 [size=\"103301120\", alpha=\"0.01\", expect_size=\"41320448\"] \n  11 -> 18 [size =\"41320448\"]\n  11 -> 19 [size =\"41320448\"]\n  11 -> 22 [size =\"41320448\"]\n  12 [size=\"129697280\", alpha=\"0.08\", expect_size=\"51878912\"] \n  12 -> 22 [size =\"51878912\"]\n  12 -> 23 [size =\"51878912\"]\n  13 [size=\"24691200\", alpha=\"0.06\", expect_size=\"9876480\"] \n  13 -> 17 [size =\"9876480\"]\n  13 -> 18 [size =\"9876480\"]\n  13 -> 20 [size =\"9876480\"]\n  13 -> 23 [size =\"9876480\"]\n  14 [size=\"94504960\", alpha=\"0.08\", expect_size=\"37801984\"] \n  14 -> 17 [size =\"37801984\"]\n  14 -> 18 [size =\"37801984\"]\n  14 -> 19 [size =\"37801984\"]\n  14 -> 22 [size =\"37801984\"]\n  14 -> 23 [size =\"37801984\"]\n  15 [size=\"46702080\", alpha=\"0.17\", expect_size=\"18680832\"] \n  16 [size=\"20300800\", alpha=\"0.13\", expect_size=\"8120320\"] \n  16 -> 18 [size =\"8120320\"]\n  17 [size=\"84771840\", alpha=\"0.03\", expect_size=\"33908736\"] \n  17 -> 24 [size =\"33908736\"]\n  17 -> 25 [size =\"33908736\"]\n  17 -> 27 [size =\"33908736\"]\n  17 -> 30 [size =\"33908736\"]\n  17 -> 33 [size =\"33908736\"]\n  18 [size=\"80179200\", alpha=\"0.14\", expect_size=\"32071680\"] \n  18 -> 25 [size =\"32071680\"]\n  18 -> 30 [size =\"32071680\"]\n  18 -> 31 [size =\"32071680\"]\n  18 -> 32 [size =\"32071680\"]\n  18 -> 33 [size =\"32071680\"]\n  19 [size=\"91837440\", alpha=\"0.19\", expect_size=\"36734976\"] \n  19 -> 25 [size =\"36734976\"]\n  19 -> 26 [size =\"36734976\"]\n  19 -> 28 [size =\"36734976\"]\n  19 -> 30 [size =\"36734976\"]\n  19 -> 31 [size =\"36734976\"]\n  19 -> 33 [size =\"36734976\"]\n  20 [size=\"54041600\", alpha=\"0.11\", expect_size=\"21616640\"] \n  20 -> 26 [size =\"21616640\"]\n  20 -> 30 [size =\"21616640\"]\n  21 [size=\"107205120\", alpha=\"0.12\", expect_size=\"42882048\"] \n  21 -> 24 [size =\"42882048\"]\n  21 -> 25 [size =\"42882048\"]\n  21 -> 28 [size =\"42882048\"]\n  21 -> 29 [size =\"42882048\"]\n  21 -> 30 [size =\"42882048\"]\n  21 -> 31 [size =\"42882048\"]\n  21 -> 33 [size =\"42882048\"]\n  22 [size=\"110522880\", alpha=\"0.07\", expect_size=\"44209152\"] \n  22 -> 28 [size =\"44209152\"]\n  22 -> 29 [size =\"44209152\"]\n  22 -> 31 [size =\"44209152\"]\n  22 -> 32 [size =\"44209152\"]\n  23 [size=\"38179840\", alpha=\"0.20\", expect_size=\"15271936\"] \n  23 -> 24 [size =\"15271936\"]\n  23 -> 25 [size =\"15271936\"]\n  23 -> 26 [size =\"15271936\"]\n  23 -> 28 [size =\"15271936\"]\n  24 [size=\"73082880\", alpha=\"0.02\", expect_size=\"29233152\"] \n  24 -> 35 [size =\"29233152\"]\n  24 -> 36 [size =\"29233152\"]\n  24 -> 38 [size =\"29233152\"]\n  25 [size=\"122749440\", alpha=\"0.17\", expect_size=\"49099776\"] \n  25 -> 36 [size =\"49099776\"]\n  26 [size=\"105118720\", alpha=\"0.05\", expect_size=\"42047488\"] \n  26 -> 34 [size =\"42047488\"]\n  26 -> 35 [size =\"42047488\"]\n  26 -> 38 [size =\"42047488\"]\n  26 -> 39 [size =\"42047488\"]\n  27 [size=\"63045120\", alpha=\"0.15\", expect_size=\"25218048\"] \n  27 -> 34 [size =\"25218048\"]\n  27 -> 35 [size =\"25218048\"]\n  27 -> 38 [size =\"25218048\"]\n  27 -> 39 [size =\"25218048\"]\n  28 [size=\"82027520\", alpha=\"0.17\", expect_size=\"32811008\"] \n  28 -> 34 [size =\"32811008\"]\n  28 -> 35 [size =\"32811008\"]\n  28 -> 37 [size =\"32811008\"]\n  28 -> 38 [size =\"32811008\"]\n  28 -> 39 [size =\"32811008\"]\n  29 [size=\"47196160\", alpha=\"0.14\", expect_size=\"18878464\"] \n  29 -> 35 [size =\"18878464\"]\n  29 -> 37 [size =\"18878464\"]\n  30 [size=\"40486400\", alpha=\"0.04\", expect_size=\"16194560\"] \n  30 -> 35 [size =\"16194560\"]\n  30 -> 36 [size =\"16194560\"]\n  30 -> 37 [size =\"16194560\"]\n  30 -> 38 [size =\"16194560\"]\n  31 [size=\"106846720\", alpha=\"0.10\", expect_size=\"42738688\"] \n  31 -> 34 [size =\"42738688\"]\n  31 -> 37 [size =\"42738688\"]\n  31 -> 39 [size =\"42738688\"]\n  32 [size=\"57072640\", alpha=\"0.15\", expect_size=\"22829056\"] \n  32 -> 34 [size =\"22829056\"]\n  32 -> 37 [size =\"22829056\"]\n  32 -> 39 [size =\"22829056\"]\n  33 [size=\"95859200\", alpha=\"0.02\", expect_size=\"38343680\"] \n  33 -> 34 [size =\"38343680\"]\n  33 -> 36 [size =\"38343680\"]\n  33 -> 37 [size =\"38343680\"]\n  33 -> 39 [size =\"38343680\"]\n  34 [size=\"95086080\", alpha=\"0.03\", expect_size=\"38034432\"] \n  34 -> 41 [size =\"38034432\"]\n  34 -> 45 [size =\"38034432\"]\n  34 -> 47 [size =\"38034432\"]\n  35 [size=\"107151360\", alpha=\"0.10\", expect_size=\"42860544\"] \n  35 -> 41 [size =\"42860544\"]\n  35 -> 42 [size =\"42860544\"]\n  35 -> 44 [size =\"42860544\"]\n  35 -> 46 [size =\"42860544\"]\n  35 -> 47 [size =\"42860544\"]\n  36 [size=\"86699520\", alpha=\"0.18\", expect_size=\"34679808\"] \n  36 -> 40 [size =\"34679808\"]\n  36 -> 41 [size =\"34679808\"]\n  36 -> 42 [size =\"34679808\"]\n  36 -> 46 [size =\"34679808\"]\n  37 [size=\"114526720\", alpha=\"0.18\", expect_size=\"45810688\"] \n  37 -> 40 [size =\"45810688\"]\n  37 -> 42 [size =\"45810688\"]\n  37 -> 46 [size =\"45810688\"]\n  37 -> 47 [size =\"45810688\"]\n  38 [size=\"83837440\", alpha=\"0.09\", expect_size=\"33534976\"] \n  38 -> 40 [size =\"33534976\"]\n  38 -> 41 [size =\"33534976\"]\n  38 -> 46 [size =\"33534976\"]\n  39 [size=\"67975680\", alpha=\"0.14\", expect_size=\"27190272\"] \n  39 -> 42 [size =\"27190272\"]\n  39 -> 43 [size =\"27190272\"]\n  39 -> 47 [size =\"27190272\"]\n  40 [size=\"31907840\", alpha=\"0.06\", expect_size=\"12763136\"] \n  40 -> 50 [size =\"12763136\"]\n  41 [size=\"56020480\", alpha=\"0.14\", expect_size=\"22408192\"] \n  41 -> 49 [size =\"22408192\"]\n  42 [size=\"112547840\", alpha=\"0.18\", expect_size=\"45019136\"] \n  43 [size=\"82152960\", alpha=\"0.06\", expect_size=\"32861184\"] \n  43 -> 48 [size =\"32861184\"]\n  44 [size=\"94384640\", alpha=\"0.05\", expect_size=\"37753856\"] \n  44 -> 48 [size =\"37753856\"]\n  44 -> 49 [size =\"37753856\"]\n  45 [size=\"112675840\", alpha=\"0.02\", expect_size=\"45070336\"] \n  45 -> 48 [size =\"45070336\"]\n  46 [size=\"52659200\", alpha=\"0.15\", expect_size=\"21063680\"] \n  46 -> 48 [size =\"21063680\"]\n  47 [size=\"39495680\", alpha=\"0.16\", expect_size=\"15798272\"] \n  47 -> 48 [size =\"15798272\"]\n  47 -> 50 [size =\"15798272\"]\n  48 [size=\"26885120\", alpha=\"0.09\", expect_size=\"10754048\"] \n  49 [size=\"81899520\", alpha=\"0.08\", expect_size=\"32759808\"] \n  50 [size=\"47342080\", alpha=\"0.11\", expect_size=\"18936832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.738.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60119040\", alpha=\"0.08\", expect_size=\"30059520\"] \n  1 -> 4 [size =\"30059520\"]\n  2 [size=\"32915456\", alpha=\"0.10\", expect_size=\"16457728\"] \n  2 -> 5 [size =\"16457728\"]\n  3 [size=\"94631936\", alpha=\"0.05\", expect_size=\"47315968\"] \n  3 -> 4 [size =\"47315968\"]\n  4 [size=\"34623488\", alpha=\"0.13\", expect_size=\"17311744\"] \n  4 -> 6 [size =\"17311744\"]\n  4 -> 7 [size =\"17311744\"]\n  5 [size=\"15398912\", alpha=\"0.20\", expect_size=\"7699456\"] \n  5 -> 8 [size =\"7699456\"]\n  6 [size=\"45451264\", alpha=\"0.13\", expect_size=\"22725632\"] \n  6 -> 9 [size =\"22725632\"]\n  6 -> 10 [size =\"22725632\"]\n  7 [size=\"92856320\", alpha=\"0.18\", expect_size=\"46428160\"] \n  8 [size=\"50722816\", alpha=\"0.02\", expect_size=\"25361408\"] \n  8 -> 9 [size =\"25361408\"]\n  9 [size=\"87613440\", alpha=\"0.01\", expect_size=\"43806720\"] \n  10 [size=\"37181440\", alpha=\"0.19\", expect_size=\"18590720\"] \n  10 -> 11 [size =\"18590720\"]\n  10 -> 12 [size =\"18590720\"]\n  11 [size=\"60975104\", alpha=\"0.13\", expect_size=\"30487552\"] \n  11 -> 13 [size =\"30487552\"]\n  11 -> 14 [size =\"30487552\"]\n  12 [size=\"100415488\", alpha=\"0.03\", expect_size=\"50207744\"] \n  13 [size=\"53561344\", alpha=\"0.15\", expect_size=\"26780672\"] \n  13 -> 16 [size =\"26780672\"]\n  13 -> 17 [size =\"26780672\"]\n  14 [size=\"75941888\", alpha=\"0.05\", expect_size=\"37970944\"] \n  14 -> 15 [size =\"37970944\"]\n  15 [size=\"42211328\", alpha=\"0.19\", expect_size=\"21105664\"] \n  15 -> 18 [size =\"21105664\"]\n  15 -> 20 [size =\"21105664\"]\n  16 [size=\"40962048\", alpha=\"0.13\", expect_size=\"20481024\"] \n  16 -> 19 [size =\"20481024\"]\n  17 [size=\"102969344\", alpha=\"0.12\", expect_size=\"51484672\"] \n  17 -> 18 [size =\"51484672\"]\n  17 -> 20 [size =\"51484672\"]\n  18 [size=\"93175808\", alpha=\"0.13\", expect_size=\"46587904\"] \n  19 [size=\"103114752\", alpha=\"0.01\", expect_size=\"51557376\"] \n  19 -> 21 [size =\"51557376\"]\n  19 -> 22 [size =\"51557376\"]\n  19 -> 23 [size =\"51557376\"]\n  20 [size=\"13932544\", alpha=\"0.09\", expect_size=\"6966272\"] \n  20 -> 22 [size =\"6966272\"]\n  21 [size=\"10801152\", alpha=\"0.08\", expect_size=\"5400576\"] \n  22 [size=\"71243776\", alpha=\"0.12\", expect_size=\"35621888\"] \n  22 -> 24 [size =\"35621888\"]\n  23 [size=\"84021248\", alpha=\"0.13\", expect_size=\"42010624\"] \n  23 -> 25 [size =\"42010624\"]\n  24 [size=\"62205952\", alpha=\"0.19\", expect_size=\"31102976\"] \n  25 [size=\"86142976\", alpha=\"0.07\", expect_size=\"43071488\"] \n  25 -> 26 [size =\"43071488\"]\n  25 -> 27 [size =\"43071488\"]\n  26 [size=\"81948672\", alpha=\"0.01\", expect_size=\"40974336\"] \n  26 -> 29 [size =\"40974336\"]\n  26 -> 30 [size =\"40974336\"]\n  27 [size=\"48523264\", alpha=\"0.14\", expect_size=\"24261632\"] \n  27 -> 28 [size =\"24261632\"]\n  28 [size=\"102983680\", alpha=\"0.14\", expect_size=\"51491840\"] \n  29 [size=\"71139328\", alpha=\"0.12\", expect_size=\"35569664\"] \n  29 -> 31 [size =\"35569664\"]\n  30 [size=\"77555712\", alpha=\"0.14\", expect_size=\"38777856\"] \n  30 -> 32 [size =\"38777856\"]\n  31 [size=\"27998208\", alpha=\"0.08\", expect_size=\"13999104\"] \n  31 -> 33 [size =\"13999104\"]\n  32 [size=\"66476032\", alpha=\"0.00\", expect_size=\"33238016\"] \n  32 -> 34 [size =\"33238016\"]\n  33 [size=\"26675200\", alpha=\"0.02\", expect_size=\"13337600\"] \n  33 -> 35 [size =\"13337600\"]\n  33 -> 36 [size =\"13337600\"]\n  34 [size=\"87113728\", alpha=\"0.18\", expect_size=\"43556864\"] \n  35 [size=\"83187712\", alpha=\"0.20\", expect_size=\"41593856\"] \n  36 [size=\"19806208\", alpha=\"0.09\", expect_size=\"9903104\"] \n  36 -> 37 [size =\"9903104\"]\n  36 -> 38 [size =\"9903104\"]\n  37 [size=\"26314752\", alpha=\"0.17\", expect_size=\"13157376\"] \n  37 -> 39 [size =\"13157376\"]\n  38 [size=\"90707968\", alpha=\"0.03\", expect_size=\"45353984\"] \n  38 -> 40 [size =\"45353984\"]\n  38 -> 41 [size =\"45353984\"]\n  39 [size=\"64485376\", alpha=\"0.08\", expect_size=\"32242688\"] \n  39 -> 42 [size =\"32242688\"]\n  39 -> 43 [size =\"32242688\"]\n  40 [size=\"24772608\", alpha=\"0.15\", expect_size=\"12386304\"] \n  41 [size=\"92641280\", alpha=\"0.01\", expect_size=\"46320640\"] \n  42 [size=\"35463168\", alpha=\"0.00\", expect_size=\"17731584\"] \n  42 -> 44 [size =\"17731584\"]\n  43 [size=\"37543936\", alpha=\"0.15\", expect_size=\"18771968\"] \n  43 -> 45 [size =\"18771968\"]\n  44 [size=\"47587328\", alpha=\"0.01\", expect_size=\"23793664\"] \n  44 -> 46 [size =\"23793664\"]\n  44 -> 47 [size =\"23793664\"]\n  45 [size=\"36675584\", alpha=\"0.02\", expect_size=\"18337792\"] \n  45 -> 48 [size =\"18337792\"]\n  46 [size=\"36538368\", alpha=\"0.19\", expect_size=\"18269184\"] \n  46 -> 49 [size =\"18269184\"]\n  46 -> 50 [size =\"18269184\"]\n  47 [size=\"77651968\", alpha=\"0.04\", expect_size=\"38825984\"] \n  47 -> 49 [size =\"38825984\"]\n  48 [size=\"63756288\", alpha=\"0.09\", expect_size=\"31878144\"] \n  48 -> 50 [size =\"31878144\"]\n  49 [size=\"77541376\", alpha=\"0.06\", expect_size=\"38770688\"] \n  50 [size=\"22898688\", alpha=\"0.18\", expect_size=\"11449344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.739.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119782400\", alpha=\"0.14\", expect_size=\"47912960\"] \n  1 -> 25 [size =\"47912960\"]\n  1 -> 31 [size =\"47912960\"]\n  1 -> 36 [size =\"47912960\"]\n  1 -> 38 [size =\"47912960\"]\n  1 -> 43 [size =\"47912960\"]\n  1 -> 47 [size =\"47912960\"]\n  1 -> 49 [size =\"47912960\"]\n  2 [size=\"44165120\", alpha=\"0.05\", expect_size=\"17666048\"] \n  2 -> 21 [size =\"17666048\"]\n  2 -> 22 [size =\"17666048\"]\n  2 -> 31 [size =\"17666048\"]\n  2 -> 35 [size =\"17666048\"]\n  2 -> 36 [size =\"17666048\"]\n  2 -> 38 [size =\"17666048\"]\n  2 -> 41 [size =\"17666048\"]\n  2 -> 48 [size =\"17666048\"]\n  2 -> 49 [size =\"17666048\"]\n  3 [size=\"26908160\", alpha=\"0.05\", expect_size=\"10763264\"] \n  3 -> 21 [size =\"10763264\"]\n  3 -> 23 [size =\"10763264\"]\n  3 -> 25 [size =\"10763264\"]\n  3 -> 31 [size =\"10763264\"]\n  3 -> 36 [size =\"10763264\"]\n  3 -> 37 [size =\"10763264\"]\n  3 -> 41 [size =\"10763264\"]\n  3 -> 43 [size =\"10763264\"]\n  4 [size=\"58127360\", alpha=\"0.06\", expect_size=\"23250944\"] \n  4 -> 27 [size =\"23250944\"]\n  4 -> 31 [size =\"23250944\"]\n  4 -> 34 [size =\"23250944\"]\n  4 -> 38 [size =\"23250944\"]\n  4 -> 40 [size =\"23250944\"]\n  4 -> 43 [size =\"23250944\"]\n  4 -> 46 [size =\"23250944\"]\n  4 -> 48 [size =\"23250944\"]\n  5 [size=\"57832960\", alpha=\"0.16\", expect_size=\"23133184\"] \n  5 -> 21 [size =\"23133184\"]\n  5 -> 24 [size =\"23133184\"]\n  5 -> 25 [size =\"23133184\"]\n  5 -> 27 [size =\"23133184\"]\n  5 -> 29 [size =\"23133184\"]\n  5 -> 32 [size =\"23133184\"]\n  5 -> 33 [size =\"23133184\"]\n  5 -> 41 [size =\"23133184\"]\n  5 -> 42 [size =\"23133184\"]\n  5 -> 45 [size =\"23133184\"]\n  5 -> 48 [size =\"23133184\"]\n  5 -> 49 [size =\"23133184\"]\n  5 -> 50 [size =\"23133184\"]\n  6 [size=\"13109760\", alpha=\"0.05\", expect_size=\"5243904\"] \n  6 -> 20 [size =\"5243904\"]\n  6 -> 21 [size =\"5243904\"]\n  6 -> 23 [size =\"5243904\"]\n  6 -> 25 [size =\"5243904\"]\n  6 -> 27 [size =\"5243904\"]\n  6 -> 32 [size =\"5243904\"]\n  6 -> 33 [size =\"5243904\"]\n  6 -> 48 [size =\"5243904\"]\n  6 -> 49 [size =\"5243904\"]\n  6 -> 50 [size =\"5243904\"]\n  7 [size=\"60736000\", alpha=\"0.12\", expect_size=\"24294400\"] \n  7 -> 20 [size =\"24294400\"]\n  7 -> 21 [size =\"24294400\"]\n  7 -> 22 [size =\"24294400\"]\n  7 -> 23 [size =\"24294400\"]\n  7 -> 29 [size =\"24294400\"]\n  7 -> 32 [size =\"24294400\"]\n  7 -> 39 [size =\"24294400\"]\n  7 -> 45 [size =\"24294400\"]\n  7 -> 48 [size =\"24294400\"]\n  8 [size=\"91944960\", alpha=\"0.19\", expect_size=\"36777984\"] \n  8 -> 19 [size =\"36777984\"]\n  8 -> 27 [size =\"36777984\"]\n  8 -> 29 [size =\"36777984\"]\n  8 -> 31 [size =\"36777984\"]\n  8 -> 32 [size =\"36777984\"]\n  8 -> 32 [size =\"36777984\"]\n  8 -> 34 [size =\"36777984\"]\n  8 -> 39 [size =\"36777984\"]\n  8 -> 41 [size =\"36777984\"]\n  8 -> 43 [size =\"36777984\"]\n  9 [size=\"64148480\", alpha=\"0.07\", expect_size=\"25659392\"] \n  9 -> 21 [size =\"25659392\"]\n  9 -> 22 [size =\"25659392\"]\n  9 -> 28 [size =\"25659392\"]\n  9 -> 36 [size =\"25659392\"]\n  9 -> 41 [size =\"25659392\"]\n  9 -> 42 [size =\"25659392\"]\n  9 -> 43 [size =\"25659392\"]\n  10 [size=\"116472320\", alpha=\"0.08\", expect_size=\"46588928\"] \n  10 -> 20 [size =\"46588928\"]\n  10 -> 22 [size =\"46588928\"]\n  10 -> 36 [size =\"46588928\"]\n  10 -> 38 [size =\"46588928\"]\n  10 -> 39 [size =\"46588928\"]\n  10 -> 41 [size =\"46588928\"]\n  10 -> 48 [size =\"46588928\"]\n  10 -> 50 [size =\"46588928\"]\n  11 [size=\"85063680\", alpha=\"0.15\", expect_size=\"34025472\"] \n  11 -> 22 [size =\"34025472\"]\n  11 -> 29 [size =\"34025472\"]\n  11 -> 31 [size =\"34025472\"]\n  11 -> 33 [size =\"34025472\"]\n  11 -> 36 [size =\"34025472\"]\n  11 -> 38 [size =\"34025472\"]\n  11 -> 41 [size =\"34025472\"]\n  11 -> 42 [size =\"34025472\"]\n  11 -> 49 [size =\"34025472\"]\n  11 -> 50 [size =\"34025472\"]\n  12 [size=\"51430400\", alpha=\"0.10\", expect_size=\"20572160\"] \n  12 -> 19 [size =\"20572160\"]\n  12 -> 23 [size =\"20572160\"]\n  12 -> 25 [size =\"20572160\"]\n  12 -> 29 [size =\"20572160\"]\n  12 -> 31 [size =\"20572160\"]\n  12 -> 36 [size =\"20572160\"]\n  12 -> 44 [size =\"20572160\"]\n  12 -> 45 [size =\"20572160\"]\n  12 -> 47 [size =\"20572160\"]\n  12 -> 49 [size =\"20572160\"]\n  12 -> 50 [size =\"20572160\"]\n  13 [size=\"82524160\", alpha=\"0.08\", expect_size=\"33009664\"] \n  13 -> 27 [size =\"33009664\"]\n  13 -> 29 [size =\"33009664\"]\n  13 -> 47 [size =\"33009664\"]\n  13 -> 49 [size =\"33009664\"]\n  13 -> 50 [size =\"33009664\"]\n  14 [size=\"113438720\", alpha=\"0.07\", expect_size=\"45375488\"] \n  14 -> 22 [size =\"45375488\"]\n  14 -> 23 [size =\"45375488\"]\n  14 -> 25 [size =\"45375488\"]\n  14 -> 29 [size =\"45375488\"]\n  14 -> 32 [size =\"45375488\"]\n  14 -> 40 [size =\"45375488\"]\n  14 -> 41 [size =\"45375488\"]\n  14 -> 42 [size =\"45375488\"]\n  14 -> 49 [size =\"45375488\"]\n  14 -> 50 [size =\"45375488\"]\n  15 [size=\"32924160\", alpha=\"0.12\", expect_size=\"13169664\"] \n  15 -> 23 [size =\"13169664\"]\n  15 -> 25 [size =\"13169664\"]\n  15 -> 27 [size =\"13169664\"]\n  15 -> 44 [size =\"13169664\"]\n  15 -> 47 [size =\"13169664\"]\n  15 -> 49 [size =\"13169664\"]\n  16 [size=\"129520640\", alpha=\"0.10\", expect_size=\"51808256\"] \n  16 -> 21 [size =\"51808256\"]\n  16 -> 30 [size =\"51808256\"]\n  16 -> 38 [size =\"51808256\"]\n  16 -> 41 [size =\"51808256\"]\n  16 -> 50 [size =\"51808256\"]\n  17 [size=\"40204800\", alpha=\"0.13\", expect_size=\"16081920\"] \n  17 -> 19 [size =\"16081920\"]\n  17 -> 27 [size =\"16081920\"]\n  17 -> 29 [size =\"16081920\"]\n  17 -> 31 [size =\"16081920\"]\n  17 -> 38 [size =\"16081920\"]\n  17 -> 39 [size =\"16081920\"]\n  17 -> 43 [size =\"16081920\"]\n  17 -> 45 [size =\"16081920\"]\n  17 -> 47 [size =\"16081920\"]\n  17 -> 50 [size =\"16081920\"]\n  18 [size=\"109598720\", alpha=\"0.17\", expect_size=\"43839488\"] \n  18 -> 21 [size =\"43839488\"]\n  18 -> 25 [size =\"43839488\"]\n  18 -> 26 [size =\"43839488\"]\n  18 -> 29 [size =\"43839488\"]\n  18 -> 31 [size =\"43839488\"]\n  18 -> 35 [size =\"43839488\"]\n  18 -> 38 [size =\"43839488\"]\n  18 -> 42 [size =\"43839488\"]\n  18 -> 43 [size =\"43839488\"]\n  18 -> 45 [size =\"43839488\"]\n  18 -> 46 [size =\"43839488\"]\n  18 -> 47 [size =\"43839488\"]\n  19 [size=\"105415680\", alpha=\"0.13\", expect_size=\"42166272\"] \n  20 [size=\"26603520\", alpha=\"0.13\", expect_size=\"10641408\"] \n  21 [size=\"74127360\", alpha=\"0.11\", expect_size=\"29650944\"] \n  22 [size=\"46243840\", alpha=\"0.15\", expect_size=\"18497536\"] \n  23 [size=\"102640640\", alpha=\"0.00\", expect_size=\"41056256\"] \n  24 [size=\"31080960\", alpha=\"0.14\", expect_size=\"12432384\"] \n  25 [size=\"73077760\", alpha=\"0.15\", expect_size=\"29231104\"] \n  26 [size=\"26152960\", alpha=\"0.16\", expect_size=\"10461184\"] \n  27 [size=\"84956160\", alpha=\"0.05\", expect_size=\"33982464\"] \n  28 [size=\"42823680\", alpha=\"0.07\", expect_size=\"17129472\"] \n  29 [size=\"25303040\", alpha=\"0.18\", expect_size=\"10121216\"] \n  30 [size=\"101747200\", alpha=\"0.07\", expect_size=\"40698880\"] \n  31 [size=\"60712960\", alpha=\"0.08\", expect_size=\"24285184\"] \n  32 [size=\"126840320\", alpha=\"0.15\", expect_size=\"50736128\"] \n  33 [size=\"95262720\", alpha=\"0.14\", expect_size=\"38105088\"] \n  34 [size=\"97743360\", alpha=\"0.10\", expect_size=\"39097344\"] \n  35 [size=\"61337600\", alpha=\"0.10\", expect_size=\"24535040\"] \n  36 [size=\"30776320\", alpha=\"0.09\", expect_size=\"12310528\"] \n  37 [size=\"124024320\", alpha=\"0.13\", expect_size=\"49609728\"] \n  38 [size=\"34821120\", alpha=\"0.13\", expect_size=\"13928448\"] \n  39 [size=\"77934080\", alpha=\"0.09\", expect_size=\"31173632\"] \n  40 [size=\"68472320\", alpha=\"0.07\", expect_size=\"27388928\"] \n  41 [size=\"109808640\", alpha=\"0.15\", expect_size=\"43923456\"] \n  42 [size=\"37967360\", alpha=\"0.09\", expect_size=\"15186944\"] \n  43 [size=\"127203840\", alpha=\"0.18\", expect_size=\"50881536\"] \n  44 [size=\"93043200\", alpha=\"0.11\", expect_size=\"37217280\"] \n  45 [size=\"35816960\", alpha=\"0.13\", expect_size=\"14326784\"] \n  46 [size=\"93306880\", alpha=\"0.18\", expect_size=\"37322752\"] \n  47 [size=\"28039680\", alpha=\"0.15\", expect_size=\"11215872\"] \n  48 [size=\"103040000\", alpha=\"0.16\", expect_size=\"41216000\"] \n  49 [size=\"60907520\", alpha=\"0.00\", expect_size=\"24363008\"] \n  50 [size=\"111915520\", alpha=\"0.19\", expect_size=\"44766208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72983893\", alpha=\"0.01\", expect_size=\"21895168\"] \n  1 -> 18 [size =\"21895168\"]\n  1 -> 21 [size =\"21895168\"]\n  1 -> 25 [size =\"21895168\"]\n  1 -> 26 [size =\"21895168\"]\n  2 [size=\"63634773\", alpha=\"0.04\", expect_size=\"19090432\"] \n  2 -> 16 [size =\"19090432\"]\n  2 -> 25 [size =\"19090432\"]\n  2 -> 25 [size =\"19090432\"]\n  2 -> 26 [size =\"19090432\"]\n  3 [size=\"98894507\", alpha=\"0.04\", expect_size=\"29668352\"] \n  3 -> 22 [size =\"29668352\"]\n  3 -> 23 [size =\"29668352\"]\n  3 -> 26 [size =\"29668352\"]\n  3 -> 26 [size =\"29668352\"]\n  4 [size=\"97221973\", alpha=\"0.09\", expect_size=\"29166592\"] \n  4 -> 16 [size =\"29166592\"]\n  4 -> 19 [size =\"29166592\"]\n  4 -> 20 [size =\"29166592\"]\n  4 -> 22 [size =\"29166592\"]\n  5 [size=\"146520747\", alpha=\"0.18\", expect_size=\"43956224\"] \n  5 -> 18 [size =\"43956224\"]\n  5 -> 19 [size =\"43956224\"]\n  5 -> 22 [size =\"43956224\"]\n  5 -> 22 [size =\"43956224\"]\n  6 [size=\"112868693\", alpha=\"0.04\", expect_size=\"33860608\"] \n  6 -> 17 [size =\"33860608\"]\n  6 -> 18 [size =\"33860608\"]\n  6 -> 22 [size =\"33860608\"]\n  6 -> 23 [size =\"33860608\"]\n  6 -> 24 [size =\"33860608\"]\n  6 -> 25 [size =\"33860608\"]\n  7 [size=\"117463040\", alpha=\"0.13\", expect_size=\"35238912\"] \n  7 -> 16 [size =\"35238912\"]\n  7 -> 18 [size =\"35238912\"]\n  7 -> 24 [size =\"35238912\"]\n  7 -> 25 [size =\"35238912\"]\n  8 [size=\"61422933\", alpha=\"0.03\", expect_size=\"18426880\"] \n  8 -> 16 [size =\"18426880\"]\n  8 -> 19 [size =\"18426880\"]\n  8 -> 23 [size =\"18426880\"]\n  8 -> 24 [size =\"18426880\"]\n  8 -> 25 [size =\"18426880\"]\n  8 -> 26 [size =\"18426880\"]\n  9 [size=\"162973013\", alpha=\"0.13\", expect_size=\"48891904\"] \n  9 -> 21 [size =\"48891904\"]\n  10 [size=\"75844267\", alpha=\"0.20\", expect_size=\"22753280\"] \n  10 -> 16 [size =\"22753280\"]\n  10 -> 18 [size =\"22753280\"]\n  10 -> 22 [size =\"22753280\"]\n  11 [size=\"55528107\", alpha=\"0.11\", expect_size=\"16658432\"] \n  11 -> 16 [size =\"16658432\"]\n  11 -> 17 [size =\"16658432\"]\n  11 -> 18 [size =\"16658432\"]\n  11 -> 21 [size =\"16658432\"]\n  11 -> 22 [size =\"16658432\"]\n  11 -> 23 [size =\"16658432\"]\n  12 [size=\"64706560\", alpha=\"0.04\", expect_size=\"19411968\"] \n  12 -> 16 [size =\"19411968\"]\n  12 -> 17 [size =\"19411968\"]\n  12 -> 18 [size =\"19411968\"]\n  12 -> 19 [size =\"19411968\"]\n  12 -> 22 [size =\"19411968\"]\n  12 -> 23 [size =\"19411968\"]\n  13 [size=\"94969173\", alpha=\"0.19\", expect_size=\"28490752\"] \n  13 -> 16 [size =\"28490752\"]\n  13 -> 19 [size =\"28490752\"]\n  13 -> 24 [size =\"28490752\"]\n  14 [size=\"125890560\", alpha=\"0.03\", expect_size=\"37767168\"] \n  14 -> 15 [size =\"37767168\"]\n  14 -> 21 [size =\"37767168\"]\n  14 -> 25 [size =\"37767168\"]\n  14 -> 26 [size =\"37767168\"]\n  15 [size=\"37212160\", alpha=\"0.18\", expect_size=\"11163648\"] \n  15 -> 28 [size =\"11163648\"]\n  15 -> 29 [size =\"11163648\"]\n  15 -> 32 [size =\"11163648\"]\n  15 -> 34 [size =\"11163648\"]\n  15 -> 35 [size =\"11163648\"]\n  15 -> 38 [size =\"11163648\"]\n  16 [size=\"22258347\", alpha=\"0.13\", expect_size=\"6677504\"] \n  16 -> 28 [size =\"6677504\"]\n  16 -> 30 [size =\"6677504\"]\n  16 -> 34 [size =\"6677504\"]\n  16 -> 34 [size =\"6677504\"]\n  16 -> 37 [size =\"6677504\"]\n  16 -> 38 [size =\"6677504\"]\n  17 [size=\"51701760\", alpha=\"0.15\", expect_size=\"15510528\"] \n  17 -> 28 [size =\"15510528\"]\n  17 -> 34 [size =\"15510528\"]\n  17 -> 38 [size =\"15510528\"]\n  18 [size=\"157614080\", alpha=\"0.17\", expect_size=\"47284224\"] \n  18 -> 28 [size =\"47284224\"]\n  18 -> 30 [size =\"47284224\"]\n  18 -> 33 [size =\"47284224\"]\n  18 -> 38 [size =\"47284224\"]\n  19 [size=\"26999467\", alpha=\"0.18\", expect_size=\"8099840\"] \n  19 -> 27 [size =\"8099840\"]\n  19 -> 30 [size =\"8099840\"]\n  20 [size=\"125897387\", alpha=\"0.05\", expect_size=\"37769216\"] \n  20 -> 28 [size =\"37769216\"]\n  20 -> 30 [size =\"37769216\"]\n  21 [size=\"124221440\", alpha=\"0.19\", expect_size=\"37266432\"] \n  21 -> 27 [size =\"37266432\"]\n  21 -> 30 [size =\"37266432\"]\n  21 -> 36 [size =\"37266432\"]\n  21 -> 38 [size =\"37266432\"]\n  22 [size=\"51155627\", alpha=\"0.19\", expect_size=\"15346688\"] \n  22 -> 30 [size =\"15346688\"]\n  22 -> 33 [size =\"15346688\"]\n  23 [size=\"86237867\", alpha=\"0.09\", expect_size=\"25871360\"] \n  23 -> 27 [size =\"25871360\"]\n  23 -> 28 [size =\"25871360\"]\n  23 -> 29 [size =\"25871360\"]\n  23 -> 36 [size =\"25871360\"]\n  24 [size=\"74926080\", alpha=\"0.10\", expect_size=\"22477824\"] \n  24 -> 30 [size =\"22477824\"]\n  24 -> 34 [size =\"22477824\"]\n  24 -> 38 [size =\"22477824\"]\n  25 [size=\"101553493\", alpha=\"0.07\", expect_size=\"30466048\"] \n  25 -> 27 [size =\"30466048\"]\n  25 -> 29 [size =\"30466048\"]\n  25 -> 30 [size =\"30466048\"]\n  25 -> 31 [size =\"30466048\"]\n  25 -> 34 [size =\"30466048\"]\n  25 -> 35 [size =\"30466048\"]\n  25 -> 37 [size =\"30466048\"]\n  26 [size=\"86043307\", alpha=\"0.16\", expect_size=\"25812992\"] \n  26 -> 27 [size =\"25812992\"]\n  26 -> 28 [size =\"25812992\"]\n  26 -> 34 [size =\"25812992\"]\n  26 -> 36 [size =\"25812992\"]\n  26 -> 38 [size =\"25812992\"]\n  27 [size=\"29723307\", alpha=\"0.17\", expect_size=\"8916992\"] \n  27 -> 40 [size =\"8916992\"]\n  27 -> 47 [size =\"8916992\"]\n  27 -> 49 [size =\"8916992\"]\n  27 -> 50 [size =\"8916992\"]\n  28 [size=\"149507413\", alpha=\"0.05\", expect_size=\"44852224\"] \n  28 -> 39 [size =\"44852224\"]\n  28 -> 41 [size =\"44852224\"]\n  28 -> 43 [size =\"44852224\"]\n  28 -> 45 [size =\"44852224\"]\n  28 -> 46 [size =\"44852224\"]\n  28 -> 50 [size =\"44852224\"]\n  29 [size=\"126938453\", alpha=\"0.10\", expect_size=\"38081536\"] \n  29 -> 41 [size =\"38081536\"]\n  29 -> 41 [size =\"38081536\"]\n  29 -> 46 [size =\"38081536\"]\n  29 -> 49 [size =\"38081536\"]\n  29 -> 50 [size =\"38081536\"]\n  30 [size=\"111233707\", alpha=\"0.03\", expect_size=\"33370112\"] \n  30 -> 41 [size =\"33370112\"]\n  30 -> 43 [size =\"33370112\"]\n  30 -> 47 [size =\"33370112\"]\n  30 -> 48 [size =\"33370112\"]\n  30 -> 50 [size =\"33370112\"]\n  31 [size=\"150667947\", alpha=\"0.02\", expect_size=\"45200384\"] \n  31 -> 39 [size =\"45200384\"]\n  31 -> 40 [size =\"45200384\"]\n  31 -> 42 [size =\"45200384\"]\n  31 -> 48 [size =\"45200384\"]\n  31 -> 50 [size =\"45200384\"]\n  32 [size=\"143462400\", alpha=\"0.06\", expect_size=\"43038720\"] \n  32 -> 40 [size =\"43038720\"]\n  32 -> 42 [size =\"43038720\"]\n  32 -> 47 [size =\"43038720\"]\n  32 -> 48 [size =\"43038720\"]\n  33 [size=\"135782400\", alpha=\"0.19\", expect_size=\"40734720\"] \n  33 -> 40 [size =\"40734720\"]\n  33 -> 43 [size =\"40734720\"]\n  33 -> 50 [size =\"40734720\"]\n  34 [size=\"51759787\", alpha=\"0.07\", expect_size=\"15527936\"] \n  34 -> 41 [size =\"15527936\"]\n  34 -> 42 [size =\"15527936\"]\n  34 -> 43 [size =\"15527936\"]\n  34 -> 44 [size =\"15527936\"]\n  35 [size=\"128426667\", alpha=\"0.17\", expect_size=\"38528000\"] \n  35 -> 39 [size =\"38528000\"]\n  35 -> 46 [size =\"38528000\"]\n  35 -> 48 [size =\"38528000\"]\n  36 [size=\"22978560\", alpha=\"0.08\", expect_size=\"6893568\"] \n  36 -> 40 [size =\"6893568\"]\n  36 -> 41 [size =\"6893568\"]\n  36 -> 48 [size =\"6893568\"]\n  37 [size=\"145377280\", alpha=\"0.03\", expect_size=\"43613184\"] \n  37 -> 48 [size =\"43613184\"]\n  38 [size=\"123750400\", alpha=\"0.16\", expect_size=\"37125120\"] \n  38 -> 39 [size =\"37125120\"]\n  38 -> 40 [size =\"37125120\"]\n  38 -> 41 [size =\"37125120\"]\n  38 -> 49 [size =\"37125120\"]\n  39 [size=\"159337813\", alpha=\"0.10\", expect_size=\"47801344\"] \n  40 [size=\"83063467\", alpha=\"0.18\", expect_size=\"24919040\"] \n  41 [size=\"110578347\", alpha=\"0.20\", expect_size=\"33173504\"] \n  42 [size=\"122651307\", alpha=\"0.06\", expect_size=\"36795392\"] \n  43 [size=\"166512640\", alpha=\"0.00\", expect_size=\"49953792\"] \n  44 [size=\"162375680\", alpha=\"0.02\", expect_size=\"48712704\"] \n  45 [size=\"61361493\", alpha=\"0.15\", expect_size=\"18408448\"] \n  46 [size=\"40499200\", alpha=\"0.16\", expect_size=\"12149760\"] \n  47 [size=\"104567467\", alpha=\"0.19\", expect_size=\"31370240\"] \n  48 [size=\"130512213\", alpha=\"0.19\", expect_size=\"39153664\"] \n  49 [size=\"101184853\", alpha=\"0.12\", expect_size=\"30355456\"] \n  50 [size=\"26112000\", alpha=\"0.18\", expect_size=\"7833600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.740.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29706240\", alpha=\"0.14\", expect_size=\"8911872\"] \n  1 -> 8 [size =\"8911872\"]\n  2 [size=\"136567467\", alpha=\"0.07\", expect_size=\"40970240\"] \n  3 [size=\"120630613\", alpha=\"0.10\", expect_size=\"36189184\"] \n  3 -> 6 [size =\"36189184\"]\n  4 [size=\"60166827\", alpha=\"0.11\", expect_size=\"18050048\"] \n  4 -> 7 [size =\"18050048\"]\n  5 [size=\"133795840\", alpha=\"0.08\", expect_size=\"40138752\"] \n  5 -> 7 [size =\"40138752\"]\n  5 -> 8 [size =\"40138752\"]\n  6 [size=\"41413973\", alpha=\"0.07\", expect_size=\"12424192\"] \n  6 -> 9 [size =\"12424192\"]\n  6 -> 10 [size =\"12424192\"]\n  7 [size=\"44066133\", alpha=\"0.10\", expect_size=\"13219840\"] \n  7 -> 10 [size =\"13219840\"]\n  8 [size=\"129832960\", alpha=\"0.11\", expect_size=\"38949888\"] \n  8 -> 9 [size =\"38949888\"]\n  8 -> 11 [size =\"38949888\"]\n  9 [size=\"130710187\", alpha=\"0.02\", expect_size=\"39213056\"] \n  9 -> 12 [size =\"39213056\"]\n  9 -> 13 [size =\"39213056\"]\n  9 -> 14 [size =\"39213056\"]\n  10 [size=\"83551573\", alpha=\"0.09\", expect_size=\"25065472\"] \n  10 -> 14 [size =\"25065472\"]\n  10 -> 15 [size =\"25065472\"]\n  10 -> 17 [size =\"25065472\"]\n  10 -> 19 [size =\"25065472\"]\n  10 -> 21 [size =\"25065472\"]\n  11 [size=\"118528000\", alpha=\"0.15\", expect_size=\"35558400\"] \n  11 -> 12 [size =\"35558400\"]\n  11 -> 13 [size =\"35558400\"]\n  11 -> 16 [size =\"35558400\"]\n  11 -> 18 [size =\"35558400\"]\n  11 -> 19 [size =\"35558400\"]\n  11 -> 20 [size =\"35558400\"]\n  11 -> 21 [size =\"35558400\"]\n  12 [size=\"71154347\", alpha=\"0.13\", expect_size=\"21346304\"] \n  12 -> 25 [size =\"21346304\"]\n  12 -> 26 [size =\"21346304\"]\n  13 [size=\"126914560\", alpha=\"0.17\", expect_size=\"38074368\"] \n  13 -> 28 [size =\"38074368\"]\n  14 [size=\"51298987\", alpha=\"0.18\", expect_size=\"15389696\"] \n  14 -> 22 [size =\"15389696\"]\n  14 -> 24 [size =\"15389696\"]\n  15 [size=\"135823360\", alpha=\"0.07\", expect_size=\"40747008\"] \n  15 -> 22 [size =\"40747008\"]\n  15 -> 24 [size =\"40747008\"]\n  15 -> 25 [size =\"40747008\"]\n  15 -> 26 [size =\"40747008\"]\n  15 -> 27 [size =\"40747008\"]\n  16 [size=\"41035093\", alpha=\"0.05\", expect_size=\"12310528\"] \n  16 -> 26 [size =\"12310528\"]\n  17 [size=\"93948587\", alpha=\"0.05\", expect_size=\"28184576\"] \n  17 -> 22 [size =\"28184576\"]\n  17 -> 23 [size =\"28184576\"]\n  17 -> 24 [size =\"28184576\"]\n  17 -> 26 [size =\"28184576\"]\n  18 [size=\"170233173\", alpha=\"0.11\", expect_size=\"51069952\"] \n  18 -> 22 [size =\"51069952\"]\n  19 [size=\"98058240\", alpha=\"0.16\", expect_size=\"29417472\"] \n  19 -> 22 [size =\"29417472\"]\n  19 -> 23 [size =\"29417472\"]\n  20 [size=\"116858880\", alpha=\"0.11\", expect_size=\"35057664\"] \n  20 -> 26 [size =\"35057664\"]\n  21 [size=\"33119573\", alpha=\"0.06\", expect_size=\"9935872\"] \n  21 -> 27 [size =\"9935872\"]\n  22 [size=\"149818027\", alpha=\"0.17\", expect_size=\"44945408\"] \n  22 -> 29 [size =\"44945408\"]\n  22 -> 32 [size =\"44945408\"]\n  22 -> 33 [size =\"44945408\"]\n  22 -> 34 [size =\"44945408\"]\n  22 -> 35 [size =\"44945408\"]\n  23 [size=\"95546027\", alpha=\"0.01\", expect_size=\"28663808\"] \n  23 -> 31 [size =\"28663808\"]\n  23 -> 34 [size =\"28663808\"]\n  23 -> 35 [size =\"28663808\"]\n  24 [size=\"68389547\", alpha=\"0.10\", expect_size=\"20516864\"] \n  24 -> 30 [size =\"20516864\"]\n  24 -> 33 [size =\"20516864\"]\n  24 -> 36 [size =\"20516864\"]\n  25 [size=\"49868800\", alpha=\"0.15\", expect_size=\"14960640\"] \n  25 -> 32 [size =\"14960640\"]\n  25 -> 33 [size =\"14960640\"]\n  25 -> 34 [size =\"14960640\"]\n  25 -> 35 [size =\"14960640\"]\n  26 [size=\"106830507\", alpha=\"0.02\", expect_size=\"32049152\"] \n  26 -> 34 [size =\"32049152\"]\n  26 -> 36 [size =\"32049152\"]\n  27 [size=\"149067093\", alpha=\"0.13\", expect_size=\"44720128\"] \n  27 -> 32 [size =\"44720128\"]\n  27 -> 36 [size =\"44720128\"]\n  28 [size=\"33515520\", alpha=\"0.17\", expect_size=\"10054656\"] \n  28 -> 29 [size =\"10054656\"]\n  28 -> 30 [size =\"10054656\"]\n  28 -> 33 [size =\"10054656\"]\n  28 -> 35 [size =\"10054656\"]\n  29 [size=\"119364267\", alpha=\"0.17\", expect_size=\"35809280\"] \n  29 -> 39 [size =\"35809280\"]\n  29 -> 39 [size =\"35809280\"]\n  29 -> 42 [size =\"35809280\"]\n  30 [size=\"91426133\", alpha=\"0.04\", expect_size=\"27427840\"] \n  30 -> 39 [size =\"27427840\"]\n  30 -> 41 [size =\"27427840\"]\n  31 [size=\"174738773\", alpha=\"0.05\", expect_size=\"52421632\"] \n  31 -> 41 [size =\"52421632\"]\n  31 -> 42 [size =\"52421632\"]\n  32 [size=\"66966187\", alpha=\"0.12\", expect_size=\"20089856\"] \n  32 -> 38 [size =\"20089856\"]\n  32 -> 40 [size =\"20089856\"]\n  33 [size=\"44482560\", alpha=\"0.14\", expect_size=\"13344768\"] \n  33 -> 40 [size =\"13344768\"]\n  34 [size=\"53159253\", alpha=\"0.19\", expect_size=\"15947776\"] \n  34 -> 37 [size =\"15947776\"]\n  35 [size=\"135690240\", alpha=\"0.20\", expect_size=\"40707072\"] \n  35 -> 39 [size =\"40707072\"]\n  35 -> 41 [size =\"40707072\"]\n  35 -> 42 [size =\"40707072\"]\n  36 [size=\"93822293\", alpha=\"0.03\", expect_size=\"28146688\"] \n  36 -> 38 [size =\"28146688\"]\n  36 -> 39 [size =\"28146688\"]\n  36 -> 40 [size =\"28146688\"]\n  37 [size=\"108782933\", alpha=\"0.17\", expect_size=\"32634880\"] \n  37 -> 43 [size =\"32634880\"]\n  37 -> 44 [size =\"32634880\"]\n  37 -> 45 [size =\"32634880\"]\n  38 [size=\"49875627\", alpha=\"0.10\", expect_size=\"14962688\"] \n  38 -> 44 [size =\"14962688\"]\n  38 -> 47 [size =\"14962688\"]\n  39 [size=\"29457067\", alpha=\"0.13\", expect_size=\"8837120\"] \n  39 -> 43 [size =\"8837120\"]\n  39 -> 45 [size =\"8837120\"]\n  39 -> 46 [size =\"8837120\"]\n  40 [size=\"160768000\", alpha=\"0.08\", expect_size=\"48230400\"] \n  40 -> 43 [size =\"48230400\"]\n  40 -> 47 [size =\"48230400\"]\n  41 [size=\"38027947\", alpha=\"0.06\", expect_size=\"11408384\"] \n  41 -> 46 [size =\"11408384\"]\n  42 [size=\"76861440\", alpha=\"0.00\", expect_size=\"23058432\"] \n  42 -> 45 [size =\"23058432\"]\n  42 -> 46 [size =\"23058432\"]\n  43 [size=\"173660160\", alpha=\"0.05\", expect_size=\"52098048\"] \n  43 -> 48 [size =\"52098048\"]\n  43 -> 49 [size =\"52098048\"]\n  44 [size=\"123299840\", alpha=\"0.16\", expect_size=\"36989952\"] \n  44 -> 49 [size =\"36989952\"]\n  45 [size=\"116886187\", alpha=\"0.11\", expect_size=\"35065856\"] \n  45 -> 48 [size =\"35065856\"]\n  45 -> 49 [size =\"35065856\"]\n  45 -> 50 [size =\"35065856\"]\n  46 [size=\"115483307\", alpha=\"0.17\", expect_size=\"34644992\"] \n  46 -> 50 [size =\"34644992\"]\n  47 [size=\"142653440\", alpha=\"0.00\", expect_size=\"42796032\"] \n  48 [size=\"117585920\", alpha=\"0.05\", expect_size=\"35275776\"] \n  49 [size=\"35747840\", alpha=\"0.03\", expect_size=\"10724352\"] \n  50 [size=\"135014400\", alpha=\"0.11\", expect_size=\"40504320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.741.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52695040\", alpha=\"0.16\", expect_size=\"21078016\"] \n  1 -> 14 [size =\"21078016\"]\n  2 [size=\"75066880\", alpha=\"0.00\", expect_size=\"30026752\"] \n  2 -> 13 [size =\"30026752\"]\n  3 [size=\"53314560\", alpha=\"0.01\", expect_size=\"21325824\"] \n  3 -> 9 [size =\"21325824\"]\n  3 -> 10 [size =\"21325824\"]\n  4 [size=\"19184640\", alpha=\"0.08\", expect_size=\"7673856\"] \n  4 -> 15 [size =\"7673856\"]\n  5 [size=\"35125760\", alpha=\"0.08\", expect_size=\"14050304\"] \n  5 -> 14 [size =\"14050304\"]\n  5 -> 15 [size =\"14050304\"]\n  6 [size=\"30228480\", alpha=\"0.18\", expect_size=\"12091392\"] \n  6 -> 8 [size =\"12091392\"]\n  7 [size=\"103091200\", alpha=\"0.14\", expect_size=\"41236480\"] \n  7 -> 9 [size =\"41236480\"]\n  7 -> 11 [size =\"41236480\"]\n  7 -> 12 [size =\"41236480\"]\n  7 -> 15 [size =\"41236480\"]\n  8 [size=\"27402240\", alpha=\"0.04\", expect_size=\"10960896\"] \n  8 -> 16 [size =\"10960896\"]\n  8 -> 17 [size =\"10960896\"]\n  8 -> 18 [size =\"10960896\"]\n  8 -> 20 [size =\"10960896\"]\n  9 [size=\"13762560\", alpha=\"0.07\", expect_size=\"5505024\"] \n  9 -> 17 [size =\"5505024\"]\n  9 -> 19 [size =\"5505024\"]\n  9 -> 21 [size =\"5505024\"]\n  9 -> 22 [size =\"5505024\"]\n  10 [size=\"66741760\", alpha=\"0.10\", expect_size=\"26696704\"] \n  10 -> 16 [size =\"26696704\"]\n  10 -> 20 [size =\"26696704\"]\n  10 -> 22 [size =\"26696704\"]\n  11 [size=\"59842560\", alpha=\"0.15\", expect_size=\"23937024\"] \n  11 -> 16 [size =\"23937024\"]\n  11 -> 18 [size =\"23937024\"]\n  11 -> 20 [size =\"23937024\"]\n  11 -> 22 [size =\"23937024\"]\n  12 [size=\"35960320\", alpha=\"0.16\", expect_size=\"14384128\"] \n  13 [size=\"38538240\", alpha=\"0.18\", expect_size=\"15415296\"] \n  13 -> 17 [size =\"15415296\"]\n  13 -> 19 [size =\"15415296\"]\n  14 [size=\"43522560\", alpha=\"0.01\", expect_size=\"17409024\"] \n  14 -> 18 [size =\"17409024\"]\n  15 [size=\"89157120\", alpha=\"0.18\", expect_size=\"35662848\"] \n  15 -> 16 [size =\"35662848\"]\n  15 -> 19 [size =\"35662848\"]\n  15 -> 20 [size =\"35662848\"]\n  16 [size=\"17871360\", alpha=\"0.01\", expect_size=\"7148544\"] \n  16 -> 25 [size =\"7148544\"]\n  17 [size=\"121379840\", alpha=\"0.12\", expect_size=\"48551936\"] \n  18 [size=\"85637120\", alpha=\"0.01\", expect_size=\"34254848\"] \n  18 -> 24 [size =\"34254848\"]\n  18 -> 27 [size =\"34254848\"]\n  19 [size=\"109294080\", alpha=\"0.03\", expect_size=\"43717632\"] \n  19 -> 24 [size =\"43717632\"]\n  20 [size=\"31498240\", alpha=\"0.17\", expect_size=\"12599296\"] \n  20 -> 23 [size =\"12599296\"]\n  21 [size=\"90193920\", alpha=\"0.18\", expect_size=\"36077568\"] \n  21 -> 25 [size =\"36077568\"]\n  22 [size=\"60656640\", alpha=\"0.10\", expect_size=\"24262656\"] \n  22 -> 26 [size =\"24262656\"]\n  22 -> 27 [size =\"24262656\"]\n  23 [size=\"38845440\", alpha=\"0.08\", expect_size=\"15538176\"] \n  23 -> 31 [size =\"15538176\"]\n  24 [size=\"26670080\", alpha=\"0.07\", expect_size=\"10668032\"] \n  24 -> 28 [size =\"10668032\"]\n  25 [size=\"34019840\", alpha=\"0.11\", expect_size=\"13607936\"] \n  25 -> 28 [size =\"13607936\"]\n  25 -> 31 [size =\"13607936\"]\n  26 [size=\"24473600\", alpha=\"0.17\", expect_size=\"9789440\"] \n  26 -> 28 [size =\"9789440\"]\n  26 -> 29 [size =\"9789440\"]\n  26 -> 33 [size =\"9789440\"]\n  27 [size=\"29255680\", alpha=\"0.18\", expect_size=\"11702272\"] \n  27 -> 30 [size =\"11702272\"]\n  27 -> 32 [size =\"11702272\"]\n  28 [size=\"101457920\", alpha=\"0.02\", expect_size=\"40583168\"] \n  28 -> 35 [size =\"40583168\"]\n  28 -> 37 [size =\"40583168\"]\n  28 -> 38 [size =\"40583168\"]\n  29 [size=\"109890560\", alpha=\"0.05\", expect_size=\"43956224\"] \n  29 -> 38 [size =\"43956224\"]\n  29 -> 39 [size =\"43956224\"]\n  29 -> 40 [size =\"43956224\"]\n  30 [size=\"126817280\", alpha=\"0.18\", expect_size=\"50726912\"] \n  30 -> 34 [size =\"50726912\"]\n  30 -> 39 [size =\"50726912\"]\n  31 [size=\"110215680\", alpha=\"0.19\", expect_size=\"44086272\"] \n  31 -> 36 [size =\"44086272\"]\n  31 -> 39 [size =\"44086272\"]\n  31 -> 40 [size =\"44086272\"]\n  32 [size=\"99673600\", alpha=\"0.04\", expect_size=\"39869440\"] \n  32 -> 34 [size =\"39869440\"]\n  33 [size=\"39191040\", alpha=\"0.13\", expect_size=\"15676416\"] \n  33 -> 34 [size =\"15676416\"]\n  33 -> 35 [size =\"15676416\"]\n  33 -> 36 [size =\"15676416\"]\n  33 -> 37 [size =\"15676416\"]\n  34 [size=\"86937600\", alpha=\"0.07\", expect_size=\"34775040\"] \n  34 -> 44 [size =\"34775040\"]\n  35 [size=\"131031040\", alpha=\"0.14\", expect_size=\"52412416\"] \n  35 -> 42 [size =\"52412416\"]\n  36 [size=\"75525120\", alpha=\"0.02\", expect_size=\"30210048\"] \n  36 -> 42 [size =\"30210048\"]\n  36 -> 45 [size =\"30210048\"]\n  37 [size=\"55505920\", alpha=\"0.08\", expect_size=\"22202368\"] \n  37 -> 43 [size =\"22202368\"]\n  37 -> 44 [size =\"22202368\"]\n  37 -> 45 [size =\"22202368\"]\n  38 [size=\"42995200\", alpha=\"0.07\", expect_size=\"17198080\"] \n  39 [size=\"52288000\", alpha=\"0.02\", expect_size=\"20915200\"] \n  39 -> 41 [size =\"20915200\"]\n  39 -> 45 [size =\"20915200\"]\n  40 [size=\"84047360\", alpha=\"0.19\", expect_size=\"33618944\"] \n  40 -> 43 [size =\"33618944\"]\n  41 [size=\"73937920\", alpha=\"0.10\", expect_size=\"29575168\"] \n  41 -> 46 [size =\"29575168\"]\n  41 -> 48 [size =\"29575168\"]\n  41 -> 49 [size =\"29575168\"]\n  41 -> 50 [size =\"29575168\"]\n  42 [size=\"68702720\", alpha=\"0.10\", expect_size=\"27481088\"] \n  42 -> 46 [size =\"27481088\"]\n  42 -> 49 [size =\"27481088\"]\n  42 -> 50 [size =\"27481088\"]\n  43 [size=\"91192320\", alpha=\"0.13\", expect_size=\"36476928\"] \n  43 -> 46 [size =\"36476928\"]\n  43 -> 47 [size =\"36476928\"]\n  44 [size=\"48875520\", alpha=\"0.19\", expect_size=\"19550208\"] \n  45 [size=\"90135040\", alpha=\"0.08\", expect_size=\"36054016\"] \n  45 -> 49 [size =\"36054016\"]\n  46 [size=\"55088640\", alpha=\"0.19\", expect_size=\"22035456\"] \n  47 [size=\"66472960\", alpha=\"0.13\", expect_size=\"26589184\"] \n  48 [size=\"114590720\", alpha=\"0.02\", expect_size=\"45836288\"] \n  49 [size=\"36049920\", alpha=\"0.08\", expect_size=\"14419968\"] \n  50 [size=\"44999680\", alpha=\"0.12\", expect_size=\"17999872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.742.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118174720\", alpha=\"0.01\", expect_size=\"47269888\"] \n  1 -> 2 [size =\"47269888\"]\n  2 [size=\"94865920\", alpha=\"0.13\", expect_size=\"37946368\"] \n  2 -> 3 [size =\"37946368\"]\n  3 [size=\"75594240\", alpha=\"0.02\", expect_size=\"30237696\"] \n  3 -> 4 [size =\"30237696\"]\n  4 [size=\"120652800\", alpha=\"0.16\", expect_size=\"48261120\"] \n  4 -> 5 [size =\"48261120\"]\n  5 [size=\"14653440\", alpha=\"0.14\", expect_size=\"5861376\"] \n  5 -> 6 [size =\"5861376\"]\n  6 [size=\"118533120\", alpha=\"0.14\", expect_size=\"47413248\"] \n  6 -> 7 [size =\"47413248\"]\n  7 [size=\"90055680\", alpha=\"0.13\", expect_size=\"36022272\"] \n  7 -> 8 [size =\"36022272\"]\n  8 [size=\"111150080\", alpha=\"0.19\", expect_size=\"44460032\"] \n  8 -> 9 [size =\"44460032\"]\n  9 [size=\"57564160\", alpha=\"0.12\", expect_size=\"23025664\"] \n  9 -> 10 [size =\"23025664\"]\n  10 [size=\"121932800\", alpha=\"0.07\", expect_size=\"48773120\"] \n  10 -> 11 [size =\"48773120\"]\n  11 [size=\"74378240\", alpha=\"0.08\", expect_size=\"29751296\"] \n  11 -> 12 [size =\"29751296\"]\n  12 [size=\"81676800\", alpha=\"0.17\", expect_size=\"32670720\"] \n  12 -> 13 [size =\"32670720\"]\n  13 [size=\"39562240\", alpha=\"0.20\", expect_size=\"15824896\"] \n  13 -> 14 [size =\"15824896\"]\n  14 [size=\"52190720\", alpha=\"0.18\", expect_size=\"20876288\"] \n  14 -> 15 [size =\"20876288\"]\n  15 [size=\"28764160\", alpha=\"0.05\", expect_size=\"11505664\"] \n  15 -> 16 [size =\"11505664\"]\n  16 [size=\"113164800\", alpha=\"0.19\", expect_size=\"45265920\"] \n  16 -> 17 [size =\"45265920\"]\n  17 [size=\"79815680\", alpha=\"0.09\", expect_size=\"31926272\"] \n  17 -> 18 [size =\"31926272\"]\n  18 [size=\"40744960\", alpha=\"0.02\", expect_size=\"16297984\"] \n  18 -> 19 [size =\"16297984\"]\n  19 [size=\"37588480\", alpha=\"0.10\", expect_size=\"15035392\"] \n  19 -> 20 [size =\"15035392\"]\n  20 [size=\"109150720\", alpha=\"0.12\", expect_size=\"43660288\"] \n  20 -> 21 [size =\"43660288\"]\n  21 [size=\"29655040\", alpha=\"0.12\", expect_size=\"11862016\"] \n  21 -> 22 [size =\"11862016\"]\n  22 [size=\"74979840\", alpha=\"0.05\", expect_size=\"29991936\"] \n  22 -> 23 [size =\"29991936\"]\n  23 [size=\"55923200\", alpha=\"0.09\", expect_size=\"22369280\"] \n  23 -> 24 [size =\"22369280\"]\n  24 [size=\"54195200\", alpha=\"0.12\", expect_size=\"21678080\"] \n  24 -> 25 [size =\"21678080\"]\n  25 [size=\"41582080\", alpha=\"0.14\", expect_size=\"16632832\"] \n  25 -> 26 [size =\"16632832\"]\n  26 [size=\"73917440\", alpha=\"0.15\", expect_size=\"29566976\"] \n  26 -> 27 [size =\"29566976\"]\n  27 [size=\"67719680\", alpha=\"0.08\", expect_size=\"27087872\"] \n  27 -> 28 [size =\"27087872\"]\n  28 [size=\"120412160\", alpha=\"0.19\", expect_size=\"48164864\"] \n  28 -> 29 [size =\"48164864\"]\n  29 [size=\"131046400\", alpha=\"0.16\", expect_size=\"52418560\"] \n  29 -> 30 [size =\"52418560\"]\n  30 [size=\"72673280\", alpha=\"0.13\", expect_size=\"29069312\"] \n  30 -> 31 [size =\"29069312\"]\n  31 [size=\"25356800\", alpha=\"0.19\", expect_size=\"10142720\"] \n  31 -> 32 [size =\"10142720\"]\n  32 [size=\"94164480\", alpha=\"0.17\", expect_size=\"37665792\"] \n  32 -> 33 [size =\"37665792\"]\n  33 [size=\"124930560\", alpha=\"0.20\", expect_size=\"49972224\"] \n  33 -> 34 [size =\"49972224\"]\n  34 [size=\"62172160\", alpha=\"0.09\", expect_size=\"24868864\"] \n  34 -> 35 [size =\"24868864\"]\n  35 [size=\"13440000\", alpha=\"0.01\", expect_size=\"5376000\"] \n  35 -> 36 [size =\"5376000\"]\n  36 [size=\"98245120\", alpha=\"0.10\", expect_size=\"39298048\"] \n  36 -> 37 [size =\"39298048\"]\n  37 [size=\"68121600\", alpha=\"0.10\", expect_size=\"27248640\"] \n  37 -> 38 [size =\"27248640\"]\n  38 [size=\"117982720\", alpha=\"0.15\", expect_size=\"47193088\"] \n  38 -> 39 [size =\"47193088\"]\n  39 [size=\"109944320\", alpha=\"0.04\", expect_size=\"43977728\"] \n  39 -> 40 [size =\"43977728\"]\n  40 [size=\"88465920\", alpha=\"0.10\", expect_size=\"35386368\"] \n  40 -> 41 [size =\"35386368\"]\n  41 [size=\"44410880\", alpha=\"0.18\", expect_size=\"17764352\"] \n  41 -> 42 [size =\"17764352\"]\n  42 [size=\"39050240\", alpha=\"0.16\", expect_size=\"15620096\"] \n  42 -> 43 [size =\"15620096\"]\n  43 [size=\"22988800\", alpha=\"0.02\", expect_size=\"9195520\"] \n  43 -> 44 [size =\"9195520\"]\n  44 [size=\"22681600\", alpha=\"0.15\", expect_size=\"9072640\"] \n  44 -> 45 [size =\"9072640\"]\n  45 [size=\"77217280\", alpha=\"0.13\", expect_size=\"30886912\"] \n  45 -> 46 [size =\"30886912\"]\n  46 [size=\"84288000\", alpha=\"0.01\", expect_size=\"33715200\"] \n  46 -> 47 [size =\"33715200\"]\n  47 [size=\"25984000\", alpha=\"0.18\", expect_size=\"10393600\"] \n  47 -> 48 [size =\"10393600\"]\n  48 [size=\"86983680\", alpha=\"0.14\", expect_size=\"34793472\"] \n  48 -> 49 [size =\"34793472\"]\n  49 [size=\"58992640\", alpha=\"0.09\", expect_size=\"23597056\"] \n  49 -> 50 [size =\"23597056\"]\n  50 [size=\"84459520\", alpha=\"0.15\", expect_size=\"33783808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.743.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89480533\", alpha=\"0.00\", expect_size=\"26844160\"] \n  1 -> 7 [size =\"26844160\"]\n  2 [size=\"32808960\", alpha=\"0.03\", expect_size=\"9842688\"] \n  2 -> 6 [size =\"9842688\"]\n  3 [size=\"106949973\", alpha=\"0.03\", expect_size=\"32084992\"] \n  3 -> 5 [size =\"32084992\"]\n  3 -> 6 [size =\"32084992\"]\n  4 [size=\"78650027\", alpha=\"0.08\", expect_size=\"23595008\"] \n  4 -> 7 [size =\"23595008\"]\n  5 [size=\"169506133\", alpha=\"0.19\", expect_size=\"50851840\"] \n  5 -> 9 [size =\"50851840\"]\n  6 [size=\"143141547\", alpha=\"0.13\", expect_size=\"42942464\"] \n  6 -> 8 [size =\"42942464\"]\n  6 -> 10 [size =\"42942464\"]\n  7 [size=\"70509227\", alpha=\"0.16\", expect_size=\"21152768\"] \n  7 -> 10 [size =\"21152768\"]\n  8 [size=\"160334507\", alpha=\"0.03\", expect_size=\"48100352\"] \n  8 -> 11 [size =\"48100352\"]\n  8 -> 12 [size =\"48100352\"]\n  8 -> 14 [size =\"48100352\"]\n  9 [size=\"111438507\", alpha=\"0.18\", expect_size=\"33431552\"] \n  9 -> 12 [size =\"33431552\"]\n  9 -> 13 [size =\"33431552\"]\n  10 [size=\"162856960\", alpha=\"0.14\", expect_size=\"48857088\"] \n  10 -> 12 [size =\"48857088\"]\n  10 -> 13 [size =\"48857088\"]\n  10 -> 14 [size =\"48857088\"]\n  11 [size=\"105000960\", alpha=\"0.05\", expect_size=\"31500288\"] \n  12 [size=\"105680213\", alpha=\"0.09\", expect_size=\"31704064\"] \n  12 -> 15 [size =\"31704064\"]\n  13 [size=\"131362133\", alpha=\"0.16\", expect_size=\"39408640\"] \n  13 -> 16 [size =\"39408640\"]\n  13 -> 17 [size =\"39408640\"]\n  14 [size=\"153685333\", alpha=\"0.18\", expect_size=\"46105600\"] \n  14 -> 15 [size =\"46105600\"]\n  14 -> 17 [size =\"46105600\"]\n  15 [size=\"63102293\", alpha=\"0.19\", expect_size=\"18930688\"] \n  15 -> 19 [size =\"18930688\"]\n  16 [size=\"58303147\", alpha=\"0.18\", expect_size=\"17490944\"] \n  16 -> 20 [size =\"17490944\"]\n  17 [size=\"162887680\", alpha=\"0.10\", expect_size=\"48866304\"] \n  17 -> 18 [size =\"48866304\"]\n  18 [size=\"131188053\", alpha=\"0.14\", expect_size=\"39356416\"] \n  19 [size=\"154426027\", alpha=\"0.11\", expect_size=\"46327808\"] \n  19 -> 21 [size =\"46327808\"]\n  19 -> 22 [size =\"46327808\"]\n  19 -> 23 [size =\"46327808\"]\n  20 [size=\"137588053\", alpha=\"0.17\", expect_size=\"41276416\"] \n  21 [size=\"87350613\", alpha=\"0.13\", expect_size=\"26205184\"] \n  22 [size=\"124634453\", alpha=\"0.10\", expect_size=\"37390336\"] \n  22 -> 24 [size =\"37390336\"]\n  23 [size=\"41277440\", alpha=\"0.18\", expect_size=\"12383232\"] \n  24 [size=\"166359040\", alpha=\"0.15\", expect_size=\"49907712\"] \n  24 -> 25 [size =\"49907712\"]\n  24 -> 26 [size =\"49907712\"]\n  24 -> 27 [size =\"49907712\"]\n  25 [size=\"150350507\", alpha=\"0.10\", expect_size=\"45105152\"] \n  25 -> 28 [size =\"45105152\"]\n  26 [size=\"141612373\", alpha=\"0.02\", expect_size=\"42483712\"] \n  26 -> 29 [size =\"42483712\"]\n  27 [size=\"128798720\", alpha=\"0.01\", expect_size=\"38639616\"] \n  27 -> 30 [size =\"38639616\"]\n  28 [size=\"50568533\", alpha=\"0.17\", expect_size=\"15170560\"] \n  28 -> 32 [size =\"15170560\"]\n  29 [size=\"158822400\", alpha=\"0.06\", expect_size=\"47646720\"] \n  29 -> 31 [size =\"47646720\"]\n  30 [size=\"89248427\", alpha=\"0.13\", expect_size=\"26774528\"] \n  30 -> 31 [size =\"26774528\"]\n  30 -> 32 [size =\"26774528\"]\n  31 [size=\"67723947\", alpha=\"0.11\", expect_size=\"20317184\"] \n  31 -> 33 [size =\"20317184\"]\n  31 -> 34 [size =\"20317184\"]\n  32 [size=\"166253227\", alpha=\"0.00\", expect_size=\"49875968\"] \n  32 -> 33 [size =\"49875968\"]\n  32 -> 34 [size =\"49875968\"]\n  32 -> 35 [size =\"49875968\"]\n  33 [size=\"85599573\", alpha=\"0.04\", expect_size=\"25679872\"] \n  33 -> 37 [size =\"25679872\"]\n  33 -> 38 [size =\"25679872\"]\n  34 [size=\"72526507\", alpha=\"0.05\", expect_size=\"21757952\"] \n  34 -> 36 [size =\"21757952\"]\n  35 [size=\"30917973\", alpha=\"0.12\", expect_size=\"9275392\"] \n  36 [size=\"112810667\", alpha=\"0.04\", expect_size=\"33843200\"] \n  36 -> 40 [size =\"33843200\"]\n  37 [size=\"129297067\", alpha=\"0.15\", expect_size=\"38789120\"] \n  37 -> 40 [size =\"38789120\"]\n  37 -> 41 [size =\"38789120\"]\n  38 [size=\"133410133\", alpha=\"0.00\", expect_size=\"40023040\"] \n  38 -> 39 [size =\"40023040\"]\n  38 -> 40 [size =\"40023040\"]\n  38 -> 41 [size =\"40023040\"]\n  39 [size=\"110725120\", alpha=\"0.03\", expect_size=\"33217536\"] \n  40 [size=\"155207680\", alpha=\"0.00\", expect_size=\"46562304\"] \n  40 -> 43 [size =\"46562304\"]\n  41 [size=\"97662293\", alpha=\"0.07\", expect_size=\"29298688\"] \n  41 -> 42 [size =\"29298688\"]\n  42 [size=\"25617067\", alpha=\"0.08\", expect_size=\"7685120\"] \n  42 -> 44 [size =\"7685120\"]\n  43 [size=\"27282773\", alpha=\"0.11\", expect_size=\"8184832\"] \n  43 -> 44 [size =\"8184832\"]\n  43 -> 45 [size =\"8184832\"]\n  44 [size=\"59255467\", alpha=\"0.13\", expect_size=\"17776640\"] \n  44 -> 46 [size =\"17776640\"]\n  44 -> 48 [size =\"17776640\"]\n  45 [size=\"100468053\", alpha=\"0.12\", expect_size=\"30140416\"] \n  45 -> 46 [size =\"30140416\"]\n  45 -> 47 [size =\"30140416\"]\n  45 -> 48 [size =\"30140416\"]\n  46 [size=\"39253333\", alpha=\"0.07\", expect_size=\"11776000\"] \n  46 -> 49 [size =\"11776000\"]\n  47 [size=\"73728000\", alpha=\"0.16\", expect_size=\"22118400\"] \n  48 [size=\"34737493\", alpha=\"0.10\", expect_size=\"10421248\"] \n  48 -> 49 [size =\"10421248\"]\n  48 -> 50 [size =\"10421248\"]\n  49 [size=\"35990187\", alpha=\"0.01\", expect_size=\"10797056\"] \n  50 [size=\"57156267\", alpha=\"0.01\", expect_size=\"17146880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.744.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75986944\", alpha=\"0.18\", expect_size=\"37993472\"] \n  1 -> 3 [size =\"37993472\"]\n  1 -> 4 [size =\"37993472\"]\n  1 -> 5 [size =\"37993472\"]\n  2 [size=\"11798528\", alpha=\"0.01\", expect_size=\"5899264\"] \n  2 -> 3 [size =\"5899264\"]\n  2 -> 5 [size =\"5899264\"]\n  3 [size=\"82495488\", alpha=\"0.01\", expect_size=\"41247744\"] \n  4 [size=\"74518528\", alpha=\"0.18\", expect_size=\"37259264\"] \n  4 -> 7 [size =\"37259264\"]\n  5 [size=\"21082112\", alpha=\"0.09\", expect_size=\"10541056\"] \n  5 -> 6 [size =\"10541056\"]\n  5 -> 7 [size =\"10541056\"]\n  6 [size=\"65933312\", alpha=\"0.04\", expect_size=\"32966656\"] \n  6 -> 8 [size =\"32966656\"]\n  6 -> 9 [size =\"32966656\"]\n  7 [size=\"35420160\", alpha=\"0.11\", expect_size=\"17710080\"] \n  7 -> 8 [size =\"17710080\"]\n  7 -> 10 [size =\"17710080\"]\n  8 [size=\"36042752\", alpha=\"0.18\", expect_size=\"18021376\"] \n  8 -> 11 [size =\"18021376\"]\n  8 -> 12 [size =\"18021376\"]\n  8 -> 13 [size =\"18021376\"]\n  9 [size=\"17422336\", alpha=\"0.01\", expect_size=\"8711168\"] \n  9 -> 11 [size =\"8711168\"]\n  10 [size=\"31762432\", alpha=\"0.08\", expect_size=\"15881216\"] \n  10 -> 11 [size =\"15881216\"]\n  10 -> 12 [size =\"15881216\"]\n  10 -> 13 [size =\"15881216\"]\n  11 [size=\"92045312\", alpha=\"0.01\", expect_size=\"46022656\"] \n  11 -> 15 [size =\"46022656\"]\n  12 [size=\"81989632\", alpha=\"0.06\", expect_size=\"40994816\"] \n  12 -> 14 [size =\"40994816\"]\n  13 [size=\"86450176\", alpha=\"0.11\", expect_size=\"43225088\"] \n  13 -> 14 [size =\"43225088\"]\n  13 -> 15 [size =\"43225088\"]\n  14 [size=\"89753600\", alpha=\"0.00\", expect_size=\"44876800\"] \n  14 -> 16 [size =\"44876800\"]\n  15 [size=\"80650240\", alpha=\"0.20\", expect_size=\"40325120\"] \n  15 -> 16 [size =\"40325120\"]\n  15 -> 17 [size =\"40325120\"]\n  16 [size=\"30011392\", alpha=\"0.06\", expect_size=\"15005696\"] \n  16 -> 18 [size =\"15005696\"]\n  16 -> 19 [size =\"15005696\"]\n  17 [size=\"47249408\", alpha=\"0.08\", expect_size=\"23624704\"] \n  17 -> 18 [size =\"23624704\"]\n  17 -> 19 [size =\"23624704\"]\n  17 -> 20 [size =\"23624704\"]\n  18 [size=\"98750464\", alpha=\"0.19\", expect_size=\"49375232\"] \n  18 -> 21 [size =\"49375232\"]\n  18 -> 22 [size =\"49375232\"]\n  18 -> 23 [size =\"49375232\"]\n  19 [size=\"88207360\", alpha=\"0.18\", expect_size=\"44103680\"] \n  19 -> 21 [size =\"44103680\"]\n  19 -> 22 [size =\"44103680\"]\n  20 [size=\"91201536\", alpha=\"0.13\", expect_size=\"45600768\"] \n  20 -> 21 [size =\"45600768\"]\n  20 -> 22 [size =\"45600768\"]\n  21 [size=\"34856960\", alpha=\"0.01\", expect_size=\"17428480\"] \n  21 -> 24 [size =\"17428480\"]\n  22 [size=\"37771264\", alpha=\"0.10\", expect_size=\"18885632\"] \n  22 -> 24 [size =\"18885632\"]\n  22 -> 25 [size =\"18885632\"]\n  22 -> 26 [size =\"18885632\"]\n  23 [size=\"66254848\", alpha=\"0.15\", expect_size=\"33127424\"] \n  24 [size=\"26081280\", alpha=\"0.13\", expect_size=\"13040640\"] \n  25 [size=\"26411008\", alpha=\"0.13\", expect_size=\"13205504\"] \n  25 -> 28 [size =\"13205504\"]\n  26 [size=\"26107904\", alpha=\"0.05\", expect_size=\"13053952\"] \n  26 -> 27 [size =\"13053952\"]\n  27 [size=\"56057856\", alpha=\"0.02\", expect_size=\"28028928\"] \n  27 -> 29 [size =\"28028928\"]\n  27 -> 30 [size =\"28028928\"]\n  28 [size=\"94087168\", alpha=\"0.05\", expect_size=\"47043584\"] \n  28 -> 29 [size =\"47043584\"]\n  28 -> 30 [size =\"47043584\"]\n  29 [size=\"91068416\", alpha=\"0.09\", expect_size=\"45534208\"] \n  29 -> 31 [size =\"45534208\"]\n  30 [size=\"79745024\", alpha=\"0.17\", expect_size=\"39872512\"] \n  30 -> 31 [size =\"39872512\"]\n  30 -> 32 [size =\"39872512\"]\n  31 [size=\"44482560\", alpha=\"0.03\", expect_size=\"22241280\"] \n  31 -> 33 [size =\"22241280\"]\n  31 -> 34 [size =\"22241280\"]\n  32 [size=\"50780160\", alpha=\"0.04\", expect_size=\"25390080\"] \n  32 -> 33 [size =\"25390080\"]\n  32 -> 34 [size =\"25390080\"]\n  33 [size=\"99952640\", alpha=\"0.01\", expect_size=\"49976320\"] \n  33 -> 35 [size =\"49976320\"]\n  33 -> 36 [size =\"49976320\"]\n  33 -> 37 [size =\"49976320\"]\n  34 [size=\"75268096\", alpha=\"0.15\", expect_size=\"37634048\"] \n  34 -> 35 [size =\"37634048\"]\n  34 -> 36 [size =\"37634048\"]\n  35 [size=\"40759296\", alpha=\"0.04\", expect_size=\"20379648\"] \n  35 -> 39 [size =\"20379648\"]\n  35 -> 39 [size =\"20379648\"]\n  36 [size=\"101396480\", alpha=\"0.17\", expect_size=\"50698240\"] \n  37 [size=\"29509632\", alpha=\"0.18\", expect_size=\"14754816\"] \n  37 -> 38 [size =\"14754816\"]\n  37 -> 39 [size =\"14754816\"]\n  38 [size=\"38782976\", alpha=\"0.17\", expect_size=\"19391488\"] \n  38 -> 40 [size =\"19391488\"]\n  38 -> 41 [size =\"19391488\"]\n  39 [size=\"60399616\", alpha=\"0.13\", expect_size=\"30199808\"] \n  39 -> 40 [size =\"30199808\"]\n  39 -> 41 [size =\"30199808\"]\n  40 [size=\"101296128\", alpha=\"0.06\", expect_size=\"50648064\"] \n  40 -> 42 [size =\"50648064\"]\n  40 -> 43 [size =\"50648064\"]\n  41 [size=\"88379392\", alpha=\"0.04\", expect_size=\"44189696\"] \n  41 -> 42 [size =\"44189696\"]\n  41 -> 43 [size =\"44189696\"]\n  42 [size=\"103211008\", alpha=\"0.08\", expect_size=\"51605504\"] \n  42 -> 45 [size =\"51605504\"]\n  42 -> 46 [size =\"51605504\"]\n  43 [size=\"28551168\", alpha=\"0.04\", expect_size=\"14275584\"] \n  43 -> 44 [size =\"14275584\"]\n  43 -> 45 [size =\"14275584\"]\n  43 -> 46 [size =\"14275584\"]\n  44 [size=\"34740224\", alpha=\"0.03\", expect_size=\"17370112\"] \n  44 -> 47 [size =\"17370112\"]\n  44 -> 48 [size =\"17370112\"]\n  45 [size=\"12300288\", alpha=\"0.06\", expect_size=\"6150144\"] \n  45 -> 48 [size =\"6150144\"]\n  46 [size=\"31395840\", alpha=\"0.11\", expect_size=\"15697920\"] \n  46 -> 47 [size =\"15697920\"]\n  46 -> 48 [size =\"15697920\"]\n  47 [size=\"17182720\", alpha=\"0.07\", expect_size=\"8591360\"] \n  47 -> 49 [size =\"8591360\"]\n  48 [size=\"100796416\", alpha=\"0.20\", expect_size=\"50398208\"] \n  48 -> 50 [size =\"50398208\"]\n  49 [size=\"87388160\", alpha=\"0.10\", expect_size=\"43694080\"] \n  50 [size=\"54677504\", alpha=\"0.15\", expect_size=\"27338752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.745.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19423232\", alpha=\"0.12\", expect_size=\"9711616\"] \n  1 -> 2 [size =\"9711616\"]\n  2 [size=\"22177792\", alpha=\"0.11\", expect_size=\"11088896\"] \n  2 -> 3 [size =\"11088896\"]\n  3 [size=\"43411456\", alpha=\"0.14\", expect_size=\"21705728\"] \n  3 -> 4 [size =\"21705728\"]\n  4 [size=\"38965248\", alpha=\"0.13\", expect_size=\"19482624\"] \n  4 -> 5 [size =\"19482624\"]\n  5 [size=\"22577152\", alpha=\"0.02\", expect_size=\"11288576\"] \n  5 -> 6 [size =\"11288576\"]\n  6 [size=\"72667136\", alpha=\"0.19\", expect_size=\"36333568\"] \n  6 -> 7 [size =\"36333568\"]\n  7 [size=\"33069056\", alpha=\"0.12\", expect_size=\"16534528\"] \n  7 -> 8 [size =\"16534528\"]\n  8 [size=\"81702912\", alpha=\"0.02\", expect_size=\"40851456\"] \n  8 -> 9 [size =\"40851456\"]\n  9 [size=\"15470592\", alpha=\"0.17\", expect_size=\"7735296\"] \n  9 -> 10 [size =\"7735296\"]\n  10 [size=\"68835328\", alpha=\"0.16\", expect_size=\"34417664\"] \n  10 -> 11 [size =\"34417664\"]\n  11 [size=\"48791552\", alpha=\"0.11\", expect_size=\"24395776\"] \n  11 -> 12 [size =\"24395776\"]\n  12 [size=\"104654848\", alpha=\"0.08\", expect_size=\"52327424\"] \n  12 -> 13 [size =\"52327424\"]\n  13 [size=\"63801344\", alpha=\"0.14\", expect_size=\"31900672\"] \n  13 -> 14 [size =\"31900672\"]\n  14 [size=\"37703680\", alpha=\"0.14\", expect_size=\"18851840\"] \n  14 -> 15 [size =\"18851840\"]\n  15 [size=\"97759232\", alpha=\"0.10\", expect_size=\"48879616\"] \n  15 -> 16 [size =\"48879616\"]\n  16 [size=\"11710464\", alpha=\"0.02\", expect_size=\"5855232\"] \n  16 -> 17 [size =\"5855232\"]\n  17 [size=\"101978112\", alpha=\"0.15\", expect_size=\"50989056\"] \n  17 -> 18 [size =\"50989056\"]\n  18 [size=\"65335296\", alpha=\"0.08\", expect_size=\"32667648\"] \n  18 -> 19 [size =\"32667648\"]\n  19 [size=\"74405888\", alpha=\"0.09\", expect_size=\"37202944\"] \n  19 -> 20 [size =\"37202944\"]\n  20 [size=\"61626368\", alpha=\"0.17\", expect_size=\"30813184\"] \n  20 -> 21 [size =\"30813184\"]\n  21 [size=\"43788288\", alpha=\"0.08\", expect_size=\"21894144\"] \n  21 -> 22 [size =\"21894144\"]\n  22 [size=\"94502912\", alpha=\"0.01\", expect_size=\"47251456\"] \n  22 -> 23 [size =\"47251456\"]\n  23 [size=\"37388288\", alpha=\"0.01\", expect_size=\"18694144\"] \n  23 -> 24 [size =\"18694144\"]\n  24 [size=\"104660992\", alpha=\"0.07\", expect_size=\"52330496\"] \n  24 -> 25 [size =\"52330496\"]\n  25 [size=\"75008000\", alpha=\"0.16\", expect_size=\"37504000\"] \n  25 -> 26 [size =\"37504000\"]\n  26 [size=\"28407808\", alpha=\"0.18\", expect_size=\"14203904\"] \n  26 -> 27 [size =\"14203904\"]\n  27 [size=\"37814272\", alpha=\"0.05\", expect_size=\"18907136\"] \n  27 -> 28 [size =\"18907136\"]\n  28 [size=\"16369664\", alpha=\"0.06\", expect_size=\"8184832\"] \n  28 -> 29 [size =\"8184832\"]\n  29 [size=\"54525952\", alpha=\"0.09\", expect_size=\"27262976\"] \n  29 -> 30 [size =\"27262976\"]\n  30 [size=\"95768576\", alpha=\"0.04\", expect_size=\"47884288\"] \n  30 -> 31 [size =\"47884288\"]\n  31 [size=\"83847168\", alpha=\"0.08\", expect_size=\"41923584\"] \n  31 -> 32 [size =\"41923584\"]\n  32 [size=\"27703296\", alpha=\"0.11\", expect_size=\"13851648\"] \n  32 -> 33 [size =\"13851648\"]\n  33 [size=\"33398784\", alpha=\"0.05\", expect_size=\"16699392\"] \n  33 -> 34 [size =\"16699392\"]\n  34 [size=\"39491584\", alpha=\"0.06\", expect_size=\"19745792\"] \n  34 -> 35 [size =\"19745792\"]\n  35 [size=\"74463232\", alpha=\"0.04\", expect_size=\"37231616\"] \n  35 -> 36 [size =\"37231616\"]\n  36 [size=\"56031232\", alpha=\"0.04\", expect_size=\"28015616\"] \n  36 -> 37 [size =\"28015616\"]\n  37 [size=\"46379008\", alpha=\"0.02\", expect_size=\"23189504\"] \n  37 -> 38 [size =\"23189504\"]\n  38 [size=\"68093952\", alpha=\"0.12\", expect_size=\"34046976\"] \n  38 -> 39 [size =\"34046976\"]\n  39 [size=\"98019328\", alpha=\"0.16\", expect_size=\"49009664\"] \n  39 -> 40 [size =\"49009664\"]\n  40 [size=\"46770176\", alpha=\"0.10\", expect_size=\"23385088\"] \n  40 -> 41 [size =\"23385088\"]\n  41 [size=\"67069952\", alpha=\"0.12\", expect_size=\"33534976\"] \n  41 -> 42 [size =\"33534976\"]\n  42 [size=\"102852608\", alpha=\"0.11\", expect_size=\"51426304\"] \n  42 -> 43 [size =\"51426304\"]\n  43 [size=\"59543552\", alpha=\"0.16\", expect_size=\"29771776\"] \n  43 -> 44 [size =\"29771776\"]\n  44 [size=\"84834304\", alpha=\"0.01\", expect_size=\"42417152\"] \n  44 -> 45 [size =\"42417152\"]\n  45 [size=\"17197056\", alpha=\"0.20\", expect_size=\"8598528\"] \n  45 -> 46 [size =\"8598528\"]\n  46 [size=\"38281216\", alpha=\"0.02\", expect_size=\"19140608\"] \n  46 -> 47 [size =\"19140608\"]\n  47 [size=\"54937600\", alpha=\"0.10\", expect_size=\"27468800\"] \n  47 -> 48 [size =\"27468800\"]\n  48 [size=\"64290816\", alpha=\"0.20\", expect_size=\"32145408\"] \n  48 -> 49 [size =\"32145408\"]\n  49 [size=\"26820608\", alpha=\"0.19\", expect_size=\"13410304\"] \n  49 -> 50 [size =\"13410304\"]\n  50 [size=\"100816896\", alpha=\"0.16\", expect_size=\"50408448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.746.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39799467\", alpha=\"0.05\", expect_size=\"11939840\"] \n  1 -> 2 [size =\"11939840\"]\n  2 [size=\"138946560\", alpha=\"0.18\", expect_size=\"41683968\"] \n  2 -> 3 [size =\"41683968\"]\n  3 [size=\"84510720\", alpha=\"0.13\", expect_size=\"25353216\"] \n  3 -> 4 [size =\"25353216\"]\n  4 [size=\"118995627\", alpha=\"0.08\", expect_size=\"35698688\"] \n  4 -> 5 [size =\"35698688\"]\n  5 [size=\"144954027\", alpha=\"0.01\", expect_size=\"43486208\"] \n  5 -> 6 [size =\"43486208\"]\n  6 [size=\"117637120\", alpha=\"0.17\", expect_size=\"35291136\"] \n  6 -> 7 [size =\"35291136\"]\n  7 [size=\"31887360\", alpha=\"0.16\", expect_size=\"9566208\"] \n  7 -> 8 [size =\"9566208\"]\n  8 [size=\"132334933\", alpha=\"0.11\", expect_size=\"39700480\"] \n  8 -> 9 [size =\"39700480\"]\n  9 [size=\"151080960\", alpha=\"0.12\", expect_size=\"45324288\"] \n  9 -> 10 [size =\"45324288\"]\n  10 [size=\"113008640\", alpha=\"0.02\", expect_size=\"33902592\"] \n  10 -> 11 [size =\"33902592\"]\n  11 [size=\"42376533\", alpha=\"0.01\", expect_size=\"12712960\"] \n  11 -> 12 [size =\"12712960\"]\n  12 [size=\"82875733\", alpha=\"0.06\", expect_size=\"24862720\"] \n  12 -> 13 [size =\"24862720\"]\n  13 [size=\"68584107\", alpha=\"0.12\", expect_size=\"20575232\"] \n  13 -> 14 [size =\"20575232\"]\n  14 [size=\"168830293\", alpha=\"0.09\", expect_size=\"50649088\"] \n  14 -> 15 [size =\"50649088\"]\n  15 [size=\"71488853\", alpha=\"0.17\", expect_size=\"21446656\"] \n  15 -> 16 [size =\"21446656\"]\n  16 [size=\"82271573\", alpha=\"0.10\", expect_size=\"24681472\"] \n  16 -> 17 [size =\"24681472\"]\n  17 [size=\"55746560\", alpha=\"0.01\", expect_size=\"16723968\"] \n  17 -> 18 [size =\"16723968\"]\n  18 [size=\"23251627\", alpha=\"0.20\", expect_size=\"6975488\"] \n  18 -> 19 [size =\"6975488\"]\n  19 [size=\"112213333\", alpha=\"0.06\", expect_size=\"33664000\"] \n  19 -> 20 [size =\"33664000\"]\n  20 [size=\"47936853\", alpha=\"0.02\", expect_size=\"14381056\"] \n  20 -> 21 [size =\"14381056\"]\n  21 [size=\"60791467\", alpha=\"0.01\", expect_size=\"18237440\"] \n  21 -> 22 [size =\"18237440\"]\n  22 [size=\"70570667\", alpha=\"0.16\", expect_size=\"21171200\"] \n  22 -> 23 [size =\"21171200\"]\n  23 [size=\"114445653\", alpha=\"0.19\", expect_size=\"34333696\"] \n  23 -> 24 [size =\"34333696\"]\n  24 [size=\"47837867\", alpha=\"0.14\", expect_size=\"14351360\"] \n  24 -> 25 [size =\"14351360\"]\n  25 [size=\"120149333\", alpha=\"0.06\", expect_size=\"36044800\"] \n  25 -> 26 [size =\"36044800\"]\n  26 [size=\"97945600\", alpha=\"0.11\", expect_size=\"29383680\"] \n  26 -> 27 [size =\"29383680\"]\n  27 [size=\"19189760\", alpha=\"0.18\", expect_size=\"5756928\"] \n  27 -> 28 [size =\"5756928\"]\n  28 [size=\"30221653\", alpha=\"0.19\", expect_size=\"9066496\"] \n  28 -> 29 [size =\"9066496\"]\n  29 [size=\"26381653\", alpha=\"0.17\", expect_size=\"7914496\"] \n  29 -> 30 [size =\"7914496\"]\n  30 [size=\"75086507\", alpha=\"0.08\", expect_size=\"22525952\"] \n  30 -> 31 [size =\"22525952\"]\n  31 [size=\"93218133\", alpha=\"0.01\", expect_size=\"27965440\"] \n  31 -> 32 [size =\"27965440\"]\n  32 [size=\"103103147\", alpha=\"0.03\", expect_size=\"30930944\"] \n  32 -> 33 [size =\"30930944\"]\n  33 [size=\"68925440\", alpha=\"0.11\", expect_size=\"20677632\"] \n  33 -> 34 [size =\"20677632\"]\n  34 [size=\"57719467\", alpha=\"0.19\", expect_size=\"17315840\"] \n  34 -> 35 [size =\"17315840\"]\n  35 [size=\"171011413\", alpha=\"0.13\", expect_size=\"51303424\"] \n  35 -> 36 [size =\"51303424\"]\n  36 [size=\"64413013\", alpha=\"0.16\", expect_size=\"19323904\"] \n  36 -> 37 [size =\"19323904\"]\n  37 [size=\"152668160\", alpha=\"0.04\", expect_size=\"45800448\"] \n  37 -> 38 [size =\"45800448\"]\n  38 [size=\"135611733\", alpha=\"0.12\", expect_size=\"40683520\"] \n  38 -> 39 [size =\"40683520\"]\n  39 [size=\"128109227\", alpha=\"0.12\", expect_size=\"38432768\"] \n  39 -> 40 [size =\"38432768\"]\n  40 [size=\"106478933\", alpha=\"0.16\", expect_size=\"31943680\"] \n  40 -> 41 [size =\"31943680\"]\n  41 [size=\"166256640\", alpha=\"0.06\", expect_size=\"49876992\"] \n  41 -> 42 [size =\"49876992\"]\n  42 [size=\"17769813\", alpha=\"0.03\", expect_size=\"5330944\"] \n  42 -> 43 [size =\"5330944\"]\n  43 [size=\"40994133\", alpha=\"0.11\", expect_size=\"12298240\"] \n  43 -> 44 [size =\"12298240\"]\n  44 [size=\"129747627\", alpha=\"0.04\", expect_size=\"38924288\"] \n  44 -> 45 [size =\"38924288\"]\n  45 [size=\"120821760\", alpha=\"0.10\", expect_size=\"36246528\"] \n  45 -> 46 [size =\"36246528\"]\n  46 [size=\"68225707\", alpha=\"0.06\", expect_size=\"20467712\"] \n  46 -> 47 [size =\"20467712\"]\n  47 [size=\"36758187\", alpha=\"0.02\", expect_size=\"11027456\"] \n  47 -> 48 [size =\"11027456\"]\n  48 [size=\"64689493\", alpha=\"0.20\", expect_size=\"19406848\"] \n  48 -> 49 [size =\"19406848\"]\n  49 [size=\"157794987\", alpha=\"0.19\", expect_size=\"47338496\"] \n  49 -> 50 [size =\"47338496\"]\n  50 [size=\"96245760\", alpha=\"0.05\", expect_size=\"28873728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.747.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97021952\", alpha=\"0.19\", expect_size=\"48510976\"] \n  1 -> 11 [size =\"48510976\"]\n  1 -> 12 [size =\"48510976\"]\n  1 -> 13 [size =\"48510976\"]\n  2 [size=\"100386816\", alpha=\"0.16\", expect_size=\"50193408\"] \n  2 -> 9 [size =\"50193408\"]\n  2 -> 10 [size =\"50193408\"]\n  2 -> 12 [size =\"50193408\"]\n  3 [size=\"30658560\", alpha=\"0.15\", expect_size=\"15329280\"] \n  3 -> 11 [size =\"15329280\"]\n  3 -> 12 [size =\"15329280\"]\n  3 -> 13 [size =\"15329280\"]\n  4 [size=\"59019264\", alpha=\"0.16\", expect_size=\"29509632\"] \n  4 -> 11 [size =\"29509632\"]\n  4 -> 12 [size =\"29509632\"]\n  4 -> 13 [size =\"29509632\"]\n  5 [size=\"83216384\", alpha=\"0.09\", expect_size=\"41608192\"] \n  5 -> 9 [size =\"41608192\"]\n  5 -> 12 [size =\"41608192\"]\n  5 -> 13 [size =\"41608192\"]\n  6 [size=\"77520896\", alpha=\"0.11\", expect_size=\"38760448\"] \n  6 -> 12 [size =\"38760448\"]\n  6 -> 13 [size =\"38760448\"]\n  7 [size=\"96120832\", alpha=\"0.12\", expect_size=\"48060416\"] \n  7 -> 12 [size =\"48060416\"]\n  7 -> 13 [size =\"48060416\"]\n  8 [size=\"88487936\", alpha=\"0.09\", expect_size=\"44243968\"] \n  8 -> 12 [size =\"44243968\"]\n  9 [size=\"96036864\", alpha=\"0.18\", expect_size=\"48018432\"] \n  9 -> 14 [size =\"48018432\"]\n  9 -> 16 [size =\"48018432\"]\n  9 -> 18 [size =\"48018432\"]\n  10 [size=\"44972032\", alpha=\"0.09\", expect_size=\"22486016\"] \n  10 -> 14 [size =\"22486016\"]\n  10 -> 15 [size =\"22486016\"]\n  11 [size=\"79521792\", alpha=\"0.10\", expect_size=\"39760896\"] \n  11 -> 15 [size =\"39760896\"]\n  11 -> 15 [size =\"39760896\"]\n  11 -> 16 [size =\"39760896\"]\n  11 -> 17 [size =\"39760896\"]\n  11 -> 18 [size =\"39760896\"]\n  12 [size=\"73730048\", alpha=\"0.02\", expect_size=\"36865024\"] \n  12 -> 14 [size =\"36865024\"]\n  12 -> 15 [size =\"36865024\"]\n  12 -> 16 [size =\"36865024\"]\n  12 -> 17 [size =\"36865024\"]\n  12 -> 18 [size =\"36865024\"]\n  13 [size=\"54614016\", alpha=\"0.11\", expect_size=\"27307008\"] \n  13 -> 14 [size =\"27307008\"]\n  13 -> 15 [size =\"27307008\"]\n  13 -> 18 [size =\"27307008\"]\n  14 [size=\"32460800\", alpha=\"0.12\", expect_size=\"16230400\"] \n  14 -> 19 [size =\"16230400\"]\n  14 -> 20 [size =\"16230400\"]\n  14 -> 21 [size =\"16230400\"]\n  14 -> 22 [size =\"16230400\"]\n  15 [size=\"14843904\", alpha=\"0.11\", expect_size=\"7421952\"] \n  15 -> 19 [size =\"7421952\"]\n  15 -> 21 [size =\"7421952\"]\n  15 -> 22 [size =\"7421952\"]\n  15 -> 23 [size =\"7421952\"]\n  16 [size=\"56064000\", alpha=\"0.12\", expect_size=\"28032000\"] \n  16 -> 20 [size =\"28032000\"]\n  16 -> 22 [size =\"28032000\"]\n  16 -> 23 [size =\"28032000\"]\n  17 [size=\"15091712\", alpha=\"0.12\", expect_size=\"7545856\"] \n  17 -> 19 [size =\"7545856\"]\n  17 -> 20 [size =\"7545856\"]\n  17 -> 21 [size =\"7545856\"]\n  17 -> 22 [size =\"7545856\"]\n  17 -> 23 [size =\"7545856\"]\n  17 -> 24 [size =\"7545856\"]\n  18 [size=\"70158336\", alpha=\"0.06\", expect_size=\"35079168\"] \n  18 -> 19 [size =\"35079168\"]\n  18 -> 20 [size =\"35079168\"]\n  18 -> 21 [size =\"35079168\"]\n  18 -> 22 [size =\"35079168\"]\n  18 -> 23 [size =\"35079168\"]\n  19 [size=\"19386368\", alpha=\"0.03\", expect_size=\"9693184\"] \n  19 -> 25 [size =\"9693184\"]\n  19 -> 27 [size =\"9693184\"]\n  19 -> 28 [size =\"9693184\"]\n  20 [size=\"104577024\", alpha=\"0.19\", expect_size=\"52288512\"] \n  20 -> 25 [size =\"52288512\"]\n  20 -> 26 [size =\"52288512\"]\n  20 -> 27 [size =\"52288512\"]\n  21 [size=\"54939648\", alpha=\"0.14\", expect_size=\"27469824\"] \n  21 -> 25 [size =\"27469824\"]\n  21 -> 26 [size =\"27469824\"]\n  21 -> 27 [size =\"27469824\"]\n  21 -> 28 [size =\"27469824\"]\n  21 -> 29 [size =\"27469824\"]\n  21 -> 30 [size =\"27469824\"]\n  22 [size=\"101642240\", alpha=\"0.07\", expect_size=\"50821120\"] \n  22 -> 25 [size =\"50821120\"]\n  22 -> 26 [size =\"50821120\"]\n  22 -> 27 [size =\"50821120\"]\n  23 [size=\"14686208\", alpha=\"0.05\", expect_size=\"7343104\"] \n  23 -> 25 [size =\"7343104\"]\n  23 -> 27 [size =\"7343104\"]\n  23 -> 27 [size =\"7343104\"]\n  24 [size=\"66889728\", alpha=\"0.13\", expect_size=\"33444864\"] \n  24 -> 25 [size =\"33444864\"]\n  24 -> 26 [size =\"33444864\"]\n  24 -> 28 [size =\"33444864\"]\n  25 [size=\"30623744\", alpha=\"0.16\", expect_size=\"15311872\"] \n  25 -> 31 [size =\"15311872\"]\n  25 -> 35 [size =\"15311872\"]\n  25 -> 36 [size =\"15311872\"]\n  25 -> 37 [size =\"15311872\"]\n  26 [size=\"81104896\", alpha=\"0.14\", expect_size=\"40552448\"] \n  26 -> 31 [size =\"40552448\"]\n  26 -> 32 [size =\"40552448\"]\n  26 -> 34 [size =\"40552448\"]\n  26 -> 36 [size =\"40552448\"]\n  26 -> 37 [size =\"40552448\"]\n  27 [size=\"43307008\", alpha=\"0.10\", expect_size=\"21653504\"] \n  27 -> 31 [size =\"21653504\"]\n  27 -> 32 [size =\"21653504\"]\n  27 -> 33 [size =\"21653504\"]\n  27 -> 34 [size =\"21653504\"]\n  27 -> 35 [size =\"21653504\"]\n  27 -> 38 [size =\"21653504\"]\n  28 [size=\"100177920\", alpha=\"0.02\", expect_size=\"50088960\"] \n  28 -> 31 [size =\"50088960\"]\n  28 -> 32 [size =\"50088960\"]\n  28 -> 33 [size =\"50088960\"]\n  28 -> 35 [size =\"50088960\"]\n  28 -> 35 [size =\"50088960\"]\n  28 -> 36 [size =\"50088960\"]\n  28 -> 37 [size =\"50088960\"]\n  29 [size=\"34234368\", alpha=\"0.13\", expect_size=\"17117184\"] \n  29 -> 35 [size =\"17117184\"]\n  30 [size=\"48517120\", alpha=\"0.11\", expect_size=\"24258560\"] \n  30 -> 31 [size =\"24258560\"]\n  30 -> 32 [size =\"24258560\"]\n  30 -> 35 [size =\"24258560\"]\n  30 -> 36 [size =\"24258560\"]\n  30 -> 37 [size =\"24258560\"]\n  31 [size=\"44429312\", alpha=\"0.03\", expect_size=\"22214656\"] \n  31 -> 39 [size =\"22214656\"]\n  31 -> 41 [size =\"22214656\"]\n  31 -> 42 [size =\"22214656\"]\n  31 -> 44 [size =\"22214656\"]\n  32 [size=\"14137344\", alpha=\"0.09\", expect_size=\"7068672\"] \n  32 -> 39 [size =\"7068672\"]\n  32 -> 41 [size =\"7068672\"]\n  32 -> 44 [size =\"7068672\"]\n  32 -> 44 [size =\"7068672\"]\n  33 [size=\"47540224\", alpha=\"0.04\", expect_size=\"23770112\"] \n  33 -> 39 [size =\"23770112\"]\n  33 -> 40 [size =\"23770112\"]\n  33 -> 41 [size =\"23770112\"]\n  33 -> 42 [size =\"23770112\"]\n  33 -> 43 [size =\"23770112\"]\n  33 -> 45 [size =\"23770112\"]\n  34 [size=\"70443008\", alpha=\"0.04\", expect_size=\"35221504\"] \n  34 -> 39 [size =\"35221504\"]\n  34 -> 42 [size =\"35221504\"]\n  34 -> 43 [size =\"35221504\"]\n  34 -> 44 [size =\"35221504\"]\n  34 -> 45 [size =\"35221504\"]\n  35 [size=\"37007360\", alpha=\"0.05\", expect_size=\"18503680\"] \n  35 -> 39 [size =\"18503680\"]\n  35 -> 40 [size =\"18503680\"]\n  35 -> 44 [size =\"18503680\"]\n  35 -> 44 [size =\"18503680\"]\n  36 [size=\"19961856\", alpha=\"0.15\", expect_size=\"9980928\"] \n  36 -> 39 [size =\"9980928\"]\n  36 -> 41 [size =\"9980928\"]\n  36 -> 43 [size =\"9980928\"]\n  36 -> 45 [size =\"9980928\"]\n  37 [size=\"86345728\", alpha=\"0.06\", expect_size=\"43172864\"] \n  37 -> 40 [size =\"43172864\"]\n  37 -> 42 [size =\"43172864\"]\n  37 -> 45 [size =\"43172864\"]\n  38 [size=\"38678528\", alpha=\"0.10\", expect_size=\"19339264\"] \n  38 -> 39 [size =\"19339264\"]\n  38 -> 40 [size =\"19339264\"]\n  38 -> 42 [size =\"19339264\"]\n  38 -> 44 [size =\"19339264\"]\n  39 [size=\"49336320\", alpha=\"0.16\", expect_size=\"24668160\"] \n  39 -> 48 [size =\"24668160\"]\n  39 -> 49 [size =\"24668160\"]\n  39 -> 50 [size =\"24668160\"]\n  40 [size=\"15124480\", alpha=\"0.02\", expect_size=\"7562240\"] \n  40 -> 46 [size =\"7562240\"]\n  40 -> 49 [size =\"7562240\"]\n  40 -> 50 [size =\"7562240\"]\n  41 [size=\"64903168\", alpha=\"0.18\", expect_size=\"32451584\"] \n  41 -> 46 [size =\"32451584\"]\n  41 -> 47 [size =\"32451584\"]\n  41 -> 49 [size =\"32451584\"]\n  42 [size=\"78966784\", alpha=\"0.12\", expect_size=\"39483392\"] \n  42 -> 47 [size =\"39483392\"]\n  42 -> 48 [size =\"39483392\"]\n  42 -> 49 [size =\"39483392\"]\n  43 [size=\"26189824\", alpha=\"0.08\", expect_size=\"13094912\"] \n  43 -> 46 [size =\"13094912\"]\n  43 -> 48 [size =\"13094912\"]\n  43 -> 49 [size =\"13094912\"]\n  44 [size=\"45072384\", alpha=\"0.15\", expect_size=\"22536192\"] \n  44 -> 49 [size =\"22536192\"]\n  44 -> 50 [size =\"22536192\"]\n  45 [size=\"63219712\", alpha=\"0.07\", expect_size=\"31609856\"] \n  45 -> 50 [size =\"31609856\"]\n  46 [size=\"84987904\", alpha=\"0.14\", expect_size=\"42493952\"] \n  47 [size=\"61589504\", alpha=\"0.07\", expect_size=\"30794752\"] \n  48 [size=\"92002304\", alpha=\"0.20\", expect_size=\"46001152\"] \n  49 [size=\"47153152\", alpha=\"0.18\", expect_size=\"23576576\"] \n  50 [size=\"30318592\", alpha=\"0.03\", expect_size=\"15159296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.748.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20928000\", alpha=\"0.05\", expect_size=\"8371200\"] \n  1 -> 38 [size =\"8371200\"]\n  1 -> 41 [size =\"8371200\"]\n  1 -> 41 [size =\"8371200\"]\n  1 -> 46 [size =\"8371200\"]\n  1 -> 48 [size =\"8371200\"]\n  1 -> 49 [size =\"8371200\"]\n  1 -> 50 [size =\"8371200\"]\n  2 [size=\"86929920\", alpha=\"0.15\", expect_size=\"34771968\"] \n  2 -> 38 [size =\"34771968\"]\n  2 -> 39 [size =\"34771968\"]\n  2 -> 41 [size =\"34771968\"]\n  2 -> 42 [size =\"34771968\"]\n  2 -> 43 [size =\"34771968\"]\n  2 -> 44 [size =\"34771968\"]\n  2 -> 45 [size =\"34771968\"]\n  2 -> 46 [size =\"34771968\"]\n  2 -> 48 [size =\"34771968\"]\n  2 -> 49 [size =\"34771968\"]\n  2 -> 50 [size =\"34771968\"]\n  3 [size=\"53575680\", alpha=\"0.20\", expect_size=\"21430272\"] \n  3 -> 38 [size =\"21430272\"]\n  3 -> 40 [size =\"21430272\"]\n  3 -> 41 [size =\"21430272\"]\n  3 -> 43 [size =\"21430272\"]\n  3 -> 44 [size =\"21430272\"]\n  3 -> 46 [size =\"21430272\"]\n  3 -> 48 [size =\"21430272\"]\n  4 [size=\"66150400\", alpha=\"0.09\", expect_size=\"26460160\"] \n  4 -> 38 [size =\"26460160\"]\n  4 -> 42 [size =\"26460160\"]\n  4 -> 46 [size =\"26460160\"]\n  4 -> 48 [size =\"26460160\"]\n  4 -> 49 [size =\"26460160\"]\n  4 -> 50 [size =\"26460160\"]\n  5 [size=\"95912960\", alpha=\"0.16\", expect_size=\"38365184\"] \n  5 -> 38 [size =\"38365184\"]\n  5 -> 41 [size =\"38365184\"]\n  5 -> 46 [size =\"38365184\"]\n  5 -> 48 [size =\"38365184\"]\n  5 -> 49 [size =\"38365184\"]\n  5 -> 50 [size =\"38365184\"]\n  6 [size=\"51187200\", alpha=\"0.06\", expect_size=\"20474880\"] \n  6 -> 38 [size =\"20474880\"]\n  6 -> 41 [size =\"20474880\"]\n  6 -> 42 [size =\"20474880\"]\n  6 -> 44 [size =\"20474880\"]\n  6 -> 45 [size =\"20474880\"]\n  6 -> 46 [size =\"20474880\"]\n  6 -> 48 [size =\"20474880\"]\n  6 -> 50 [size =\"20474880\"]\n  7 [size=\"13847040\", alpha=\"0.11\", expect_size=\"5538816\"] \n  7 -> 39 [size =\"5538816\"]\n  7 -> 41 [size =\"5538816\"]\n  7 -> 42 [size =\"5538816\"]\n  7 -> 44 [size =\"5538816\"]\n  7 -> 45 [size =\"5538816\"]\n  7 -> 46 [size =\"5538816\"]\n  7 -> 48 [size =\"5538816\"]\n  8 [size=\"112842240\", alpha=\"0.01\", expect_size=\"45136896\"] \n  8 -> 38 [size =\"45136896\"]\n  8 -> 39 [size =\"45136896\"]\n  8 -> 41 [size =\"45136896\"]\n  8 -> 46 [size =\"45136896\"]\n  8 -> 47 [size =\"45136896\"]\n  8 -> 48 [size =\"45136896\"]\n  8 -> 48 [size =\"45136896\"]\n  8 -> 49 [size =\"45136896\"]\n  9 [size=\"20456960\", alpha=\"0.08\", expect_size=\"8182784\"] \n  9 -> 38 [size =\"8182784\"]\n  9 -> 41 [size =\"8182784\"]\n  9 -> 44 [size =\"8182784\"]\n  9 -> 46 [size =\"8182784\"]\n  9 -> 49 [size =\"8182784\"]\n  9 -> 50 [size =\"8182784\"]\n  10 [size=\"48273920\", alpha=\"0.07\", expect_size=\"19309568\"] \n  10 -> 40 [size =\"19309568\"]\n  10 -> 41 [size =\"19309568\"]\n  10 -> 44 [size =\"19309568\"]\n  10 -> 45 [size =\"19309568\"]\n  10 -> 46 [size =\"19309568\"]\n  10 -> 48 [size =\"19309568\"]\n  10 -> 49 [size =\"19309568\"]\n  10 -> 50 [size =\"19309568\"]\n  11 [size=\"27573760\", alpha=\"0.15\", expect_size=\"11029504\"] \n  11 -> 41 [size =\"11029504\"]\n  11 -> 43 [size =\"11029504\"]\n  11 -> 45 [size =\"11029504\"]\n  11 -> 46 [size =\"11029504\"]\n  11 -> 46 [size =\"11029504\"]\n  11 -> 48 [size =\"11029504\"]\n  11 -> 49 [size =\"11029504\"]\n  11 -> 50 [size =\"11029504\"]\n  12 [size=\"59097600\", alpha=\"0.08\", expect_size=\"23639040\"] \n  12 -> 41 [size =\"23639040\"]\n  12 -> 44 [size =\"23639040\"]\n  12 -> 45 [size =\"23639040\"]\n  12 -> 46 [size =\"23639040\"]\n  12 -> 47 [size =\"23639040\"]\n  12 -> 48 [size =\"23639040\"]\n  12 -> 49 [size =\"23639040\"]\n  12 -> 50 [size =\"23639040\"]\n  13 [size=\"30620160\", alpha=\"0.04\", expect_size=\"12248064\"] \n  13 -> 40 [size =\"12248064\"]\n  13 -> 41 [size =\"12248064\"]\n  13 -> 42 [size =\"12248064\"]\n  13 -> 46 [size =\"12248064\"]\n  13 -> 49 [size =\"12248064\"]\n  14 [size=\"27770880\", alpha=\"0.20\", expect_size=\"11108352\"] \n  14 -> 40 [size =\"11108352\"]\n  14 -> 41 [size =\"11108352\"]\n  14 -> 46 [size =\"11108352\"]\n  14 -> 46 [size =\"11108352\"]\n  14 -> 48 [size =\"11108352\"]\n  14 -> 49 [size =\"11108352\"]\n  14 -> 50 [size =\"11108352\"]\n  15 [size=\"82419200\", alpha=\"0.07\", expect_size=\"32967680\"] \n  15 -> 40 [size =\"32967680\"]\n  15 -> 41 [size =\"32967680\"]\n  15 -> 44 [size =\"32967680\"]\n  15 -> 46 [size =\"32967680\"]\n  15 -> 50 [size =\"32967680\"]\n  16 [size=\"61501440\", alpha=\"0.11\", expect_size=\"24600576\"] \n  16 -> 40 [size =\"24600576\"]\n  16 -> 41 [size =\"24600576\"]\n  16 -> 42 [size =\"24600576\"]\n  16 -> 45 [size =\"24600576\"]\n  16 -> 46 [size =\"24600576\"]\n  16 -> 47 [size =\"24600576\"]\n  16 -> 49 [size =\"24600576\"]\n  16 -> 50 [size =\"24600576\"]\n  17 [size=\"98539520\", alpha=\"0.18\", expect_size=\"39415808\"] \n  17 -> 40 [size =\"39415808\"]\n  17 -> 41 [size =\"39415808\"]\n  17 -> 42 [size =\"39415808\"]\n  17 -> 44 [size =\"39415808\"]\n  17 -> 46 [size =\"39415808\"]\n  17 -> 48 [size =\"39415808\"]\n  17 -> 50 [size =\"39415808\"]\n  17 -> 50 [size =\"39415808\"]\n  18 [size=\"47042560\", alpha=\"0.03\", expect_size=\"18817024\"] \n  18 -> 39 [size =\"18817024\"]\n  18 -> 40 [size =\"18817024\"]\n  18 -> 41 [size =\"18817024\"]\n  18 -> 43 [size =\"18817024\"]\n  18 -> 44 [size =\"18817024\"]\n  18 -> 47 [size =\"18817024\"]\n  18 -> 50 [size =\"18817024\"]\n  19 [size=\"50071040\", alpha=\"0.06\", expect_size=\"20028416\"] \n  19 -> 39 [size =\"20028416\"]\n  19 -> 40 [size =\"20028416\"]\n  19 -> 42 [size =\"20028416\"]\n  19 -> 43 [size =\"20028416\"]\n  19 -> 44 [size =\"20028416\"]\n  19 -> 46 [size =\"20028416\"]\n  19 -> 48 [size =\"20028416\"]\n  19 -> 49 [size =\"20028416\"]\n  19 -> 50 [size =\"20028416\"]\n  20 [size=\"95782400\", alpha=\"0.07\", expect_size=\"38312960\"] \n  20 -> 39 [size =\"38312960\"]\n  20 -> 40 [size =\"38312960\"]\n  20 -> 44 [size =\"38312960\"]\n  20 -> 46 [size =\"38312960\"]\n  20 -> 48 [size =\"38312960\"]\n  20 -> 50 [size =\"38312960\"]\n  21 [size=\"18693120\", alpha=\"0.10\", expect_size=\"7477248\"] \n  21 -> 38 [size =\"7477248\"]\n  21 -> 39 [size =\"7477248\"]\n  21 -> 40 [size =\"7477248\"]\n  21 -> 41 [size =\"7477248\"]\n  21 -> 42 [size =\"7477248\"]\n  21 -> 44 [size =\"7477248\"]\n  21 -> 46 [size =\"7477248\"]\n  21 -> 48 [size =\"7477248\"]\n  21 -> 50 [size =\"7477248\"]\n  22 [size=\"107642880\", alpha=\"0.06\", expect_size=\"43057152\"] \n  22 -> 38 [size =\"43057152\"]\n  22 -> 39 [size =\"43057152\"]\n  22 -> 40 [size =\"43057152\"]\n  22 -> 42 [size =\"43057152\"]\n  22 -> 44 [size =\"43057152\"]\n  22 -> 44 [size =\"43057152\"]\n  22 -> 46 [size =\"43057152\"]\n  22 -> 47 [size =\"43057152\"]\n  22 -> 48 [size =\"43057152\"]\n  22 -> 49 [size =\"43057152\"]\n  22 -> 50 [size =\"43057152\"]\n  23 [size=\"38781440\", alpha=\"0.08\", expect_size=\"15512576\"] \n  23 -> 38 [size =\"15512576\"]\n  23 -> 40 [size =\"15512576\"]\n  23 -> 40 [size =\"15512576\"]\n  23 -> 41 [size =\"15512576\"]\n  23 -> 43 [size =\"15512576\"]\n  23 -> 44 [size =\"15512576\"]\n  23 -> 46 [size =\"15512576\"]\n  23 -> 48 [size =\"15512576\"]\n  23 -> 50 [size =\"15512576\"]\n  24 [size=\"62456320\", alpha=\"0.19\", expect_size=\"24982528\"] \n  24 -> 37 [size =\"24982528\"]\n  24 -> 38 [size =\"24982528\"]\n  24 -> 40 [size =\"24982528\"]\n  24 -> 41 [size =\"24982528\"]\n  24 -> 43 [size =\"24982528\"]\n  24 -> 44 [size =\"24982528\"]\n  24 -> 48 [size =\"24982528\"]\n  24 -> 48 [size =\"24982528\"]\n  24 -> 49 [size =\"24982528\"]\n  24 -> 50 [size =\"24982528\"]\n  25 [size=\"62440960\", alpha=\"0.05\", expect_size=\"24976384\"] \n  25 -> 38 [size =\"24976384\"]\n  25 -> 38 [size =\"24976384\"]\n  25 -> 39 [size =\"24976384\"]\n  25 -> 40 [size =\"24976384\"]\n  25 -> 43 [size =\"24976384\"]\n  25 -> 44 [size =\"24976384\"]\n  25 -> 45 [size =\"24976384\"]\n  25 -> 46 [size =\"24976384\"]\n  25 -> 47 [size =\"24976384\"]\n  25 -> 48 [size =\"24976384\"]\n  25 -> 49 [size =\"24976384\"]\n  25 -> 50 [size =\"24976384\"]\n  26 [size=\"105776640\", alpha=\"0.17\", expect_size=\"42310656\"] \n  26 -> 38 [size =\"42310656\"]\n  26 -> 40 [size =\"42310656\"]\n  26 -> 41 [size =\"42310656\"]\n  26 -> 44 [size =\"42310656\"]\n  26 -> 45 [size =\"42310656\"]\n  26 -> 46 [size =\"42310656\"]\n  26 -> 47 [size =\"42310656\"]\n  26 -> 48 [size =\"42310656\"]\n  26 -> 49 [size =\"42310656\"]\n  26 -> 50 [size =\"42310656\"]\n  27 [size=\"49927680\", alpha=\"0.09\", expect_size=\"19971072\"] \n  27 -> 38 [size =\"19971072\"]\n  27 -> 40 [size =\"19971072\"]\n  27 -> 43 [size =\"19971072\"]\n  27 -> 44 [size =\"19971072\"]\n  27 -> 45 [size =\"19971072\"]\n  27 -> 46 [size =\"19971072\"]\n  27 -> 47 [size =\"19971072\"]\n  27 -> 49 [size =\"19971072\"]\n  27 -> 50 [size =\"19971072\"]\n  27 -> 50 [size =\"19971072\"]\n  28 [size=\"35663360\", alpha=\"0.17\", expect_size=\"14265344\"] \n  28 -> 38 [size =\"14265344\"]\n  28 -> 39 [size =\"14265344\"]\n  28 -> 40 [size =\"14265344\"]\n  28 -> 42 [size =\"14265344\"]\n  28 -> 43 [size =\"14265344\"]\n  28 -> 44 [size =\"14265344\"]\n  28 -> 46 [size =\"14265344\"]\n  28 -> 47 [size =\"14265344\"]\n  28 -> 50 [size =\"14265344\"]\n  29 [size=\"54213120\", alpha=\"0.08\", expect_size=\"21685248\"] \n  29 -> 38 [size =\"21685248\"]\n  29 -> 40 [size =\"21685248\"]\n  29 -> 40 [size =\"21685248\"]\n  29 -> 41 [size =\"21685248\"]\n  29 -> 44 [size =\"21685248\"]\n  29 -> 44 [size =\"21685248\"]\n  29 -> 45 [size =\"21685248\"]\n  29 -> 46 [size =\"21685248\"]\n  29 -> 49 [size =\"21685248\"]\n  29 -> 50 [size =\"21685248\"]\n  30 [size=\"86855680\", alpha=\"0.04\", expect_size=\"34742272\"] \n  30 -> 38 [size =\"34742272\"]\n  30 -> 40 [size =\"34742272\"]\n  30 -> 41 [size =\"34742272\"]\n  30 -> 43 [size =\"34742272\"]\n  30 -> 44 [size =\"34742272\"]\n  30 -> 45 [size =\"34742272\"]\n  30 -> 46 [size =\"34742272\"]\n  30 -> 46 [size =\"34742272\"]\n  30 -> 48 [size =\"34742272\"]\n  30 -> 50 [size =\"34742272\"]\n  31 [size=\"129216000\", alpha=\"0.02\", expect_size=\"51686400\"] \n  31 -> 38 [size =\"51686400\"]\n  31 -> 40 [size =\"51686400\"]\n  31 -> 42 [size =\"51686400\"]\n  31 -> 45 [size =\"51686400\"]\n  31 -> 47 [size =\"51686400\"]\n  31 -> 48 [size =\"51686400\"]\n  32 [size=\"71155200\", alpha=\"0.08\", expect_size=\"28462080\"] \n  32 -> 38 [size =\"28462080\"]\n  32 -> 40 [size =\"28462080\"]\n  32 -> 46 [size =\"28462080\"]\n  32 -> 47 [size =\"28462080\"]\n  32 -> 48 [size =\"28462080\"]\n  32 -> 50 [size =\"28462080\"]\n  33 [size=\"104460800\", alpha=\"0.18\", expect_size=\"41784320\"] \n  33 -> 38 [size =\"41784320\"]\n  33 -> 46 [size =\"41784320\"]\n  33 -> 48 [size =\"41784320\"]\n  33 -> 50 [size =\"41784320\"]\n  34 [size=\"33671680\", alpha=\"0.10\", expect_size=\"13468672\"] \n  34 -> 38 [size =\"13468672\"]\n  34 -> 40 [size =\"13468672\"]\n  34 -> 41 [size =\"13468672\"]\n  34 -> 43 [size =\"13468672\"]\n  34 -> 45 [size =\"13468672\"]\n  35 [size=\"29795840\", alpha=\"0.13\", expect_size=\"11918336\"] \n  35 -> 38 [size =\"11918336\"]\n  35 -> 39 [size =\"11918336\"]\n  35 -> 40 [size =\"11918336\"]\n  35 -> 42 [size =\"11918336\"]\n  35 -> 44 [size =\"11918336\"]\n  35 -> 48 [size =\"11918336\"]\n  35 -> 49 [size =\"11918336\"]\n  35 -> 50 [size =\"11918336\"]\n  36 [size=\"57674240\", alpha=\"0.05\", expect_size=\"23069696\"] \n  36 -> 38 [size =\"23069696\"]\n  36 -> 40 [size =\"23069696\"]\n  36 -> 41 [size =\"23069696\"]\n  36 -> 42 [size =\"23069696\"]\n  36 -> 48 [size =\"23069696\"]\n  36 -> 48 [size =\"23069696\"]\n  36 -> 50 [size =\"23069696\"]\n  37 [size=\"37427200\", alpha=\"0.11\", expect_size=\"14970880\"] \n  38 [size=\"87756800\", alpha=\"0.03\", expect_size=\"35102720\"] \n  39 [size=\"72473600\", alpha=\"0.01\", expect_size=\"28989440\"] \n  40 [size=\"116892160\", alpha=\"0.14\", expect_size=\"46756864\"] \n  41 [size=\"20252160\", alpha=\"0.07\", expect_size=\"8100864\"] \n  42 [size=\"32949760\", alpha=\"0.16\", expect_size=\"13179904\"] \n  43 [size=\"83013120\", alpha=\"0.10\", expect_size=\"33205248\"] \n  44 [size=\"69987840\", alpha=\"0.12\", expect_size=\"27995136\"] \n  45 [size=\"126504960\", alpha=\"0.02\", expect_size=\"50601984\"] \n  46 [size=\"85949440\", alpha=\"0.08\", expect_size=\"34379776\"] \n  47 [size=\"114677760\", alpha=\"0.00\", expect_size=\"45871104\"] \n  48 [size=\"62195200\", alpha=\"0.16\", expect_size=\"24878080\"] \n  49 [size=\"80407040\", alpha=\"0.19\", expect_size=\"32162816\"] \n  50 [size=\"88312320\", alpha=\"0.15\", expect_size=\"35324928\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.749.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66670080\", alpha=\"0.20\", expect_size=\"26668032\"] \n  1 -> 8 [size =\"26668032\"]\n  1 -> 10 [size =\"26668032\"]\n  1 -> 11 [size =\"26668032\"]\n  1 -> 12 [size =\"26668032\"]\n  2 [size=\"104355840\", alpha=\"0.11\", expect_size=\"41742336\"] \n  2 -> 8 [size =\"41742336\"]\n  2 -> 10 [size =\"41742336\"]\n  2 -> 12 [size =\"41742336\"]\n  2 -> 13 [size =\"41742336\"]\n  2 -> 14 [size =\"41742336\"]\n  3 [size=\"34961920\", alpha=\"0.04\", expect_size=\"13984768\"] \n  3 -> 8 [size =\"13984768\"]\n  3 -> 9 [size =\"13984768\"]\n  3 -> 11 [size =\"13984768\"]\n  3 -> 12 [size =\"13984768\"]\n  4 [size=\"54566400\", alpha=\"0.13\", expect_size=\"21826560\"] \n  4 -> 8 [size =\"21826560\"]\n  4 -> 10 [size =\"21826560\"]\n  4 -> 11 [size =\"21826560\"]\n  4 -> 12 [size =\"21826560\"]\n  5 [size=\"89909760\", alpha=\"0.09\", expect_size=\"35963904\"] \n  5 -> 8 [size =\"35963904\"]\n  5 -> 9 [size =\"35963904\"]\n  5 -> 10 [size =\"35963904\"]\n  5 -> 11 [size =\"35963904\"]\n  5 -> 12 [size =\"35963904\"]\n  6 [size=\"23447040\", alpha=\"0.10\", expect_size=\"9378816\"] \n  6 -> 8 [size =\"9378816\"]\n  6 -> 10 [size =\"9378816\"]\n  6 -> 11 [size =\"9378816\"]\n  6 -> 11 [size =\"9378816\"]\n  6 -> 12 [size =\"9378816\"]\n  7 [size=\"69913600\", alpha=\"0.11\", expect_size=\"27965440\"] \n  7 -> 8 [size =\"27965440\"]\n  7 -> 9 [size =\"27965440\"]\n  7 -> 11 [size =\"27965440\"]\n  7 -> 12 [size =\"27965440\"]\n  8 [size=\"122237440\", alpha=\"0.05\", expect_size=\"48894976\"] \n  8 -> 16 [size =\"48894976\"]\n  8 -> 19 [size =\"48894976\"]\n  9 [size=\"80954880\", alpha=\"0.16\", expect_size=\"32381952\"] \n  9 -> 21 [size =\"32381952\"]\n  10 [size=\"37829120\", alpha=\"0.03\", expect_size=\"15131648\"] \n  10 -> 16 [size =\"15131648\"]\n  10 -> 18 [size =\"15131648\"]\n  10 -> 20 [size =\"15131648\"]\n  10 -> 21 [size =\"15131648\"]\n  11 [size=\"78812160\", alpha=\"0.12\", expect_size=\"31524864\"] \n  11 -> 16 [size =\"31524864\"]\n  11 -> 20 [size =\"31524864\"]\n  11 -> 20 [size =\"31524864\"]\n  11 -> 21 [size =\"31524864\"]\n  12 [size=\"78003200\", alpha=\"0.04\", expect_size=\"31201280\"] \n  12 -> 15 [size =\"31201280\"]\n  12 -> 16 [size =\"31201280\"]\n  12 -> 17 [size =\"31201280\"]\n  12 -> 19 [size =\"31201280\"]\n  12 -> 20 [size =\"31201280\"]\n  12 -> 21 [size =\"31201280\"]\n  13 [size=\"26647040\", alpha=\"0.10\", expect_size=\"10658816\"] \n  13 -> 15 [size =\"10658816\"]\n  13 -> 16 [size =\"10658816\"]\n  13 -> 17 [size =\"10658816\"]\n  13 -> 18 [size =\"10658816\"]\n  13 -> 19 [size =\"10658816\"]\n  13 -> 20 [size =\"10658816\"]\n  13 -> 21 [size =\"10658816\"]\n  14 [size=\"48245760\", alpha=\"0.11\", expect_size=\"19298304\"] \n  14 -> 16 [size =\"19298304\"]\n  14 -> 20 [size =\"19298304\"]\n  14 -> 21 [size =\"19298304\"]\n  15 [size=\"123046400\", alpha=\"0.00\", expect_size=\"49218560\"] \n  15 -> 22 [size =\"49218560\"]\n  15 -> 23 [size =\"49218560\"]\n  15 -> 26 [size =\"49218560\"]\n  16 [size=\"59888640\", alpha=\"0.05\", expect_size=\"23955456\"] \n  16 -> 22 [size =\"23955456\"]\n  16 -> 25 [size =\"23955456\"]\n  16 -> 27 [size =\"23955456\"]\n  17 [size=\"116362240\", alpha=\"0.15\", expect_size=\"46544896\"] \n  17 -> 22 [size =\"46544896\"]\n  17 -> 24 [size =\"46544896\"]\n  17 -> 25 [size =\"46544896\"]\n  17 -> 27 [size =\"46544896\"]\n  17 -> 28 [size =\"46544896\"]\n  18 [size=\"65131520\", alpha=\"0.01\", expect_size=\"26052608\"] \n  18 -> 22 [size =\"26052608\"]\n  18 -> 23 [size =\"26052608\"]\n  18 -> 25 [size =\"26052608\"]\n  18 -> 27 [size =\"26052608\"]\n  19 [size=\"93432320\", alpha=\"0.01\", expect_size=\"37372928\"] \n  19 -> 23 [size =\"37372928\"]\n  19 -> 24 [size =\"37372928\"]\n  19 -> 28 [size =\"37372928\"]\n  20 [size=\"68170240\", alpha=\"0.12\", expect_size=\"27268096\"] \n  20 -> 22 [size =\"27268096\"]\n  20 -> 23 [size =\"27268096\"]\n  20 -> 24 [size =\"27268096\"]\n  20 -> 26 [size =\"27268096\"]\n  20 -> 28 [size =\"27268096\"]\n  21 [size=\"88000000\", alpha=\"0.12\", expect_size=\"35200000\"] \n  21 -> 22 [size =\"35200000\"]\n  21 -> 23 [size =\"35200000\"]\n  21 -> 24 [size =\"35200000\"]\n  21 -> 26 [size =\"35200000\"]\n  21 -> 28 [size =\"35200000\"]\n  22 [size=\"43120640\", alpha=\"0.07\", expect_size=\"17248256\"] \n  22 -> 30 [size =\"17248256\"]\n  22 -> 34 [size =\"17248256\"]\n  22 -> 35 [size =\"17248256\"]\n  23 [size=\"68933120\", alpha=\"0.07\", expect_size=\"27573248\"] \n  23 -> 30 [size =\"27573248\"]\n  23 -> 31 [size =\"27573248\"]\n  23 -> 34 [size =\"27573248\"]\n  23 -> 35 [size =\"27573248\"]\n  24 [size=\"128240640\", alpha=\"0.13\", expect_size=\"51296256\"] \n  24 -> 30 [size =\"51296256\"]\n  24 -> 33 [size =\"51296256\"]\n  24 -> 35 [size =\"51296256\"]\n  24 -> 35 [size =\"51296256\"]\n  25 [size=\"74618880\", alpha=\"0.12\", expect_size=\"29847552\"] \n  25 -> 30 [size =\"29847552\"]\n  25 -> 35 [size =\"29847552\"]\n  26 [size=\"75008000\", alpha=\"0.13\", expect_size=\"30003200\"] \n  26 -> 29 [size =\"30003200\"]\n  26 -> 32 [size =\"30003200\"]\n  27 [size=\"103014400\", alpha=\"0.04\", expect_size=\"41205760\"] \n  27 -> 29 [size =\"41205760\"]\n  27 -> 32 [size =\"41205760\"]\n  27 -> 33 [size =\"41205760\"]\n  27 -> 35 [size =\"41205760\"]\n  28 [size=\"72880640\", alpha=\"0.13\", expect_size=\"29152256\"] \n  28 -> 30 [size =\"29152256\"]\n  28 -> 31 [size =\"29152256\"]\n  28 -> 32 [size =\"29152256\"]\n  28 -> 34 [size =\"29152256\"]\n  29 [size=\"79431680\", alpha=\"0.14\", expect_size=\"31772672\"] \n  29 -> 37 [size =\"31772672\"]\n  29 -> 39 [size =\"31772672\"]\n  29 -> 41 [size =\"31772672\"]\n  30 [size=\"83921920\", alpha=\"0.19\", expect_size=\"33568768\"] \n  30 -> 36 [size =\"33568768\"]\n  30 -> 38 [size =\"33568768\"]\n  30 -> 39 [size =\"33568768\"]\n  30 -> 40 [size =\"33568768\"]\n  30 -> 41 [size =\"33568768\"]\n  31 [size=\"35317760\", alpha=\"0.15\", expect_size=\"14127104\"] \n  31 -> 37 [size =\"14127104\"]\n  31 -> 39 [size =\"14127104\"]\n  31 -> 39 [size =\"14127104\"]\n  31 -> 41 [size =\"14127104\"]\n  31 -> 42 [size =\"14127104\"]\n  32 [size=\"105152000\", alpha=\"0.02\", expect_size=\"42060800\"] \n  32 -> 38 [size =\"42060800\"]\n  32 -> 40 [size =\"42060800\"]\n  32 -> 41 [size =\"42060800\"]\n  32 -> 41 [size =\"42060800\"]\n  33 [size=\"30773760\", alpha=\"0.11\", expect_size=\"12309504\"] \n  33 -> 36 [size =\"12309504\"]\n  33 -> 41 [size =\"12309504\"]\n  33 -> 42 [size =\"12309504\"]\n  34 [size=\"69975040\", alpha=\"0.06\", expect_size=\"27990016\"] \n  34 -> 38 [size =\"27990016\"]\n  34 -> 39 [size =\"27990016\"]\n  34 -> 42 [size =\"27990016\"]\n  35 [size=\"28280320\", alpha=\"0.00\", expect_size=\"11312128\"] \n  35 -> 37 [size =\"11312128\"]\n  35 -> 39 [size =\"11312128\"]\n  35 -> 40 [size =\"11312128\"]\n  35 -> 41 [size =\"11312128\"]\n  36 [size=\"100464640\", alpha=\"0.02\", expect_size=\"40185856\"] \n  36 -> 48 [size =\"40185856\"]\n  37 [size=\"60935680\", alpha=\"0.02\", expect_size=\"24374272\"] \n  37 -> 43 [size =\"24374272\"]\n  37 -> 48 [size =\"24374272\"]\n  38 [size=\"84464640\", alpha=\"0.10\", expect_size=\"33785856\"] \n  38 -> 44 [size =\"33785856\"]\n  38 -> 46 [size =\"33785856\"]\n  38 -> 48 [size =\"33785856\"]\n  39 [size=\"44252160\", alpha=\"0.12\", expect_size=\"17700864\"] \n  39 -> 43 [size =\"17700864\"]\n  39 -> 45 [size =\"17700864\"]\n  39 -> 46 [size =\"17700864\"]\n  39 -> 47 [size =\"17700864\"]\n  40 [size=\"126113280\", alpha=\"0.03\", expect_size=\"50445312\"] \n  40 -> 43 [size =\"50445312\"]\n  40 -> 44 [size =\"50445312\"]\n  40 -> 46 [size =\"50445312\"]\n  40 -> 47 [size =\"50445312\"]\n  40 -> 48 [size =\"50445312\"]\n  41 [size=\"118837760\", alpha=\"0.07\", expect_size=\"47535104\"] \n  41 -> 43 [size =\"47535104\"]\n  41 -> 45 [size =\"47535104\"]\n  41 -> 46 [size =\"47535104\"]\n  41 -> 47 [size =\"47535104\"]\n  41 -> 48 [size =\"47535104\"]\n  42 [size=\"88135680\", alpha=\"0.15\", expect_size=\"35254272\"] \n  42 -> 43 [size =\"35254272\"]\n  42 -> 46 [size =\"35254272\"]\n  42 -> 47 [size =\"35254272\"]\n  42 -> 47 [size =\"35254272\"]\n  42 -> 48 [size =\"35254272\"]\n  43 [size=\"98900480\", alpha=\"0.14\", expect_size=\"39560192\"] \n  43 -> 49 [size =\"39560192\"]\n  44 [size=\"46709760\", alpha=\"0.12\", expect_size=\"18683904\"] \n  44 -> 49 [size =\"18683904\"]\n  45 [size=\"84669440\", alpha=\"0.00\", expect_size=\"33867776\"] \n  45 -> 49 [size =\"33867776\"]\n  46 [size=\"86789120\", alpha=\"0.19\", expect_size=\"34715648\"] \n  46 -> 49 [size =\"34715648\"]\n  47 [size=\"99852800\", alpha=\"0.13\", expect_size=\"39941120\"] \n  47 -> 49 [size =\"39941120\"]\n  47 -> 50 [size =\"39941120\"]\n  48 [size=\"109150720\", alpha=\"0.17\", expect_size=\"43660288\"] \n  48 -> 50 [size =\"43660288\"]\n  49 [size=\"48750080\", alpha=\"0.13\", expect_size=\"19500032\"] \n  50 [size=\"116935680\", alpha=\"0.00\", expect_size=\"46774272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87242752\", alpha=\"0.17\", expect_size=\"43621376\"] \n  1 -> 4 [size =\"43621376\"]\n  2 [size=\"24936448\", alpha=\"0.11\", expect_size=\"12468224\"] \n  2 -> 3 [size =\"12468224\"]\n  2 -> 5 [size =\"12468224\"]\n  3 [size=\"65642496\", alpha=\"0.04\", expect_size=\"32821248\"] \n  3 -> 6 [size =\"32821248\"]\n  3 -> 7 [size =\"32821248\"]\n  4 [size=\"94326784\", alpha=\"0.17\", expect_size=\"47163392\"] \n  5 [size=\"91504640\", alpha=\"0.01\", expect_size=\"45752320\"] \n  5 -> 8 [size =\"45752320\"]\n  6 [size=\"43628544\", alpha=\"0.09\", expect_size=\"21814272\"] \n  7 [size=\"72337408\", alpha=\"0.20\", expect_size=\"36168704\"] \n  7 -> 9 [size =\"36168704\"]\n  7 -> 10 [size =\"36168704\"]\n  7 -> 11 [size =\"36168704\"]\n  8 [size=\"28497920\", alpha=\"0.02\", expect_size=\"14248960\"] \n  8 -> 11 [size =\"14248960\"]\n  9 [size=\"97595392\", alpha=\"0.06\", expect_size=\"48797696\"] \n  9 -> 12 [size =\"48797696\"]\n  10 [size=\"75868160\", alpha=\"0.15\", expect_size=\"37934080\"] \n  11 [size=\"66066432\", alpha=\"0.16\", expect_size=\"33033216\"] \n  11 -> 13 [size =\"33033216\"]\n  12 [size=\"54257664\", alpha=\"0.11\", expect_size=\"27128832\"] \n  13 [size=\"104284160\", alpha=\"0.14\", expect_size=\"52142080\"] \n  13 -> 14 [size =\"52142080\"]\n  13 -> 15 [size =\"52142080\"]\n  14 [size=\"27860992\", alpha=\"0.00\", expect_size=\"13930496\"] \n  14 -> 16 [size =\"13930496\"]\n  14 -> 17 [size =\"13930496\"]\n  15 [size=\"11565056\", alpha=\"0.17\", expect_size=\"5782528\"] \n  16 [size=\"16596992\", alpha=\"0.19\", expect_size=\"8298496\"] \n  16 -> 19 [size =\"8298496\"]\n  17 [size=\"58415104\", alpha=\"0.09\", expect_size=\"29207552\"] \n  17 -> 18 [size =\"29207552\"]\n  18 [size=\"57235456\", alpha=\"0.08\", expect_size=\"28617728\"] \n  19 [size=\"67397632\", alpha=\"0.16\", expect_size=\"33698816\"] \n  19 -> 20 [size =\"33698816\"]\n  19 -> 21 [size =\"33698816\"]\n  20 [size=\"96020480\", alpha=\"0.19\", expect_size=\"48010240\"] \n  20 -> 22 [size =\"48010240\"]\n  20 -> 23 [size =\"48010240\"]\n  21 [size=\"72255488\", alpha=\"0.19\", expect_size=\"36127744\"] \n  22 [size=\"54093824\", alpha=\"0.01\", expect_size=\"27046912\"] \n  23 [size=\"13295616\", alpha=\"0.16\", expect_size=\"6647808\"] \n  23 -> 24 [size =\"6647808\"]\n  23 -> 25 [size =\"6647808\"]\n  23 -> 26 [size =\"6647808\"]\n  24 [size=\"79798272\", alpha=\"0.08\", expect_size=\"39899136\"] \n  24 -> 27 [size =\"39899136\"]\n  24 -> 28 [size =\"39899136\"]\n  25 [size=\"80756736\", alpha=\"0.17\", expect_size=\"40378368\"] \n  25 -> 27 [size =\"40378368\"]\n  25 -> 29 [size =\"40378368\"]\n  26 [size=\"65038336\", alpha=\"0.13\", expect_size=\"32519168\"] \n  27 [size=\"59854848\", alpha=\"0.03\", expect_size=\"29927424\"] \n  27 -> 30 [size =\"29927424\"]\n  27 -> 31 [size =\"29927424\"]\n  28 [size=\"100229120\", alpha=\"0.16\", expect_size=\"50114560\"] \n  28 -> 32 [size =\"50114560\"]\n  29 [size=\"45570048\", alpha=\"0.08\", expect_size=\"22785024\"] \n  30 [size=\"25014272\", alpha=\"0.14\", expect_size=\"12507136\"] \n  30 -> 34 [size =\"12507136\"]\n  31 [size=\"20301824\", alpha=\"0.11\", expect_size=\"10150912\"] \n  31 -> 33 [size =\"10150912\"]\n  32 [size=\"13817856\", alpha=\"0.18\", expect_size=\"6908928\"] \n  33 [size=\"20013056\", alpha=\"0.04\", expect_size=\"10006528\"] \n  33 -> 35 [size =\"10006528\"]\n  33 -> 36 [size =\"10006528\"]\n  33 -> 37 [size =\"10006528\"]\n  34 [size=\"94046208\", alpha=\"0.14\", expect_size=\"47023104\"] \n  35 [size=\"36642816\", alpha=\"0.05\", expect_size=\"18321408\"] \n  35 -> 39 [size =\"18321408\"]\n  36 [size=\"23195648\", alpha=\"0.16\", expect_size=\"11597824\"] \n  36 -> 38 [size =\"11597824\"]\n  37 [size=\"86847488\", alpha=\"0.18\", expect_size=\"43423744\"] \n  38 [size=\"100708352\", alpha=\"0.10\", expect_size=\"50354176\"] \n  38 -> 40 [size =\"50354176\"]\n  38 -> 41 [size =\"50354176\"]\n  39 [size=\"82792448\", alpha=\"0.14\", expect_size=\"41396224\"] \n  40 [size=\"25835520\", alpha=\"0.16\", expect_size=\"12917760\"] \n  40 -> 44 [size =\"12917760\"]\n  41 [size=\"89593856\", alpha=\"0.11\", expect_size=\"44796928\"] \n  41 -> 42 [size =\"44796928\"]\n  41 -> 43 [size =\"44796928\"]\n  42 [size=\"46536704\", alpha=\"0.15\", expect_size=\"23268352\"] \n  42 -> 45 [size =\"23268352\"]\n  42 -> 46 [size =\"23268352\"]\n  43 [size=\"34805760\", alpha=\"0.00\", expect_size=\"17402880\"] \n  43 -> 46 [size =\"17402880\"]\n  44 [size=\"53831680\", alpha=\"0.20\", expect_size=\"26915840\"] \n  44 -> 47 [size =\"26915840\"]\n  45 [size=\"26617856\", alpha=\"0.14\", expect_size=\"13308928\"] \n  45 -> 48 [size =\"13308928\"]\n  45 -> 49 [size =\"13308928\"]\n  46 [size=\"48619520\", alpha=\"0.00\", expect_size=\"24309760\"] \n  47 [size=\"31574016\", alpha=\"0.17\", expect_size=\"15787008\"] \n  47 -> 48 [size =\"15787008\"]\n  47 -> 49 [size =\"15787008\"]\n  48 [size=\"23412736\", alpha=\"0.12\", expect_size=\"11706368\"] \n  49 [size=\"70887424\", alpha=\"0.15\", expect_size=\"35443712\"] \n  49 -> 50 [size =\"35443712\"]\n  50 [size=\"42166272\", alpha=\"0.01\", expect_size=\"21083136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.750.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72445440\", alpha=\"0.02\", expect_size=\"28978176\"] \n  1 -> 14 [size =\"28978176\"]\n  1 -> 16 [size =\"28978176\"]\n  1 -> 20 [size =\"28978176\"]\n  1 -> 23 [size =\"28978176\"]\n  1 -> 26 [size =\"28978176\"]\n  1 -> 27 [size =\"28978176\"]\n  1 -> 28 [size =\"28978176\"]\n  1 -> 29 [size =\"28978176\"]\n  1 -> 32 [size =\"28978176\"]\n  2 [size=\"64808960\", alpha=\"0.02\", expect_size=\"25923584\"] \n  2 -> 14 [size =\"25923584\"]\n  2 -> 17 [size =\"25923584\"]\n  2 -> 20 [size =\"25923584\"]\n  2 -> 23 [size =\"25923584\"]\n  2 -> 25 [size =\"25923584\"]\n  2 -> 26 [size =\"25923584\"]\n  2 -> 28 [size =\"25923584\"]\n  2 -> 29 [size =\"25923584\"]\n  3 [size=\"73648640\", alpha=\"0.18\", expect_size=\"29459456\"] \n  3 -> 16 [size =\"29459456\"]\n  3 -> 23 [size =\"29459456\"]\n  3 -> 26 [size =\"29459456\"]\n  3 -> 28 [size =\"29459456\"]\n  3 -> 32 [size =\"29459456\"]\n  4 [size=\"92121600\", alpha=\"0.14\", expect_size=\"36848640\"] \n  4 -> 14 [size =\"36848640\"]\n  4 -> 17 [size =\"36848640\"]\n  4 -> 19 [size =\"36848640\"]\n  4 -> 20 [size =\"36848640\"]\n  4 -> 21 [size =\"36848640\"]\n  4 -> 22 [size =\"36848640\"]\n  4 -> 24 [size =\"36848640\"]\n  4 -> 25 [size =\"36848640\"]\n  5 [size=\"77813760\", alpha=\"0.19\", expect_size=\"31125504\"] \n  5 -> 15 [size =\"31125504\"]\n  5 -> 17 [size =\"31125504\"]\n  5 -> 18 [size =\"31125504\"]\n  5 -> 21 [size =\"31125504\"]\n  5 -> 24 [size =\"31125504\"]\n  5 -> 28 [size =\"31125504\"]\n  5 -> 29 [size =\"31125504\"]\n  5 -> 35 [size =\"31125504\"]\n  6 [size=\"67458560\", alpha=\"0.11\", expect_size=\"26983424\"] \n  6 -> 16 [size =\"26983424\"]\n  6 -> 17 [size =\"26983424\"]\n  6 -> 20 [size =\"26983424\"]\n  6 -> 24 [size =\"26983424\"]\n  6 -> 28 [size =\"26983424\"]\n  6 -> 29 [size =\"26983424\"]\n  6 -> 32 [size =\"26983424\"]\n  6 -> 35 [size =\"26983424\"]\n  7 [size=\"116221440\", alpha=\"0.14\", expect_size=\"46488576\"] \n  7 -> 16 [size =\"46488576\"]\n  7 -> 17 [size =\"46488576\"]\n  7 -> 22 [size =\"46488576\"]\n  7 -> 23 [size =\"46488576\"]\n  7 -> 24 [size =\"46488576\"]\n  7 -> 25 [size =\"46488576\"]\n  7 -> 30 [size =\"46488576\"]\n  7 -> 35 [size =\"46488576\"]\n  8 [size=\"65287680\", alpha=\"0.18\", expect_size=\"26115072\"] \n  8 -> 14 [size =\"26115072\"]\n  8 -> 17 [size =\"26115072\"]\n  8 -> 19 [size =\"26115072\"]\n  8 -> 20 [size =\"26115072\"]\n  8 -> 21 [size =\"26115072\"]\n  8 -> 22 [size =\"26115072\"]\n  8 -> 24 [size =\"26115072\"]\n  8 -> 31 [size =\"26115072\"]\n  8 -> 35 [size =\"26115072\"]\n  9 [size=\"102417920\", alpha=\"0.01\", expect_size=\"40967168\"] \n  9 -> 14 [size =\"40967168\"]\n  9 -> 16 [size =\"40967168\"]\n  9 -> 19 [size =\"40967168\"]\n  9 -> 20 [size =\"40967168\"]\n  9 -> 24 [size =\"40967168\"]\n  9 -> 25 [size =\"40967168\"]\n  9 -> 28 [size =\"40967168\"]\n  9 -> 32 [size =\"40967168\"]\n  9 -> 34 [size =\"40967168\"]\n  9 -> 35 [size =\"40967168\"]\n  10 [size=\"30753280\", alpha=\"0.07\", expect_size=\"12301312\"] \n  10 -> 16 [size =\"12301312\"]\n  10 -> 19 [size =\"12301312\"]\n  10 -> 20 [size =\"12301312\"]\n  10 -> 21 [size =\"12301312\"]\n  10 -> 23 [size =\"12301312\"]\n  10 -> 26 [size =\"12301312\"]\n  10 -> 27 [size =\"12301312\"]\n  10 -> 28 [size =\"12301312\"]\n  10 -> 30 [size =\"12301312\"]\n  10 -> 32 [size =\"12301312\"]\n  10 -> 35 [size =\"12301312\"]\n  11 [size=\"52925440\", alpha=\"0.17\", expect_size=\"21170176\"] \n  11 -> 14 [size =\"21170176\"]\n  11 -> 16 [size =\"21170176\"]\n  11 -> 17 [size =\"21170176\"]\n  11 -> 19 [size =\"21170176\"]\n  11 -> 24 [size =\"21170176\"]\n  11 -> 31 [size =\"21170176\"]\n  11 -> 35 [size =\"21170176\"]\n  12 [size=\"65474560\", alpha=\"0.18\", expect_size=\"26189824\"] \n  12 -> 16 [size =\"26189824\"]\n  12 -> 19 [size =\"26189824\"]\n  12 -> 21 [size =\"26189824\"]\n  12 -> 23 [size =\"26189824\"]\n  12 -> 27 [size =\"26189824\"]\n  12 -> 32 [size =\"26189824\"]\n  12 -> 33 [size =\"26189824\"]\n  13 [size=\"80015360\", alpha=\"0.20\", expect_size=\"32006144\"] \n  13 -> 14 [size =\"32006144\"]\n  13 -> 19 [size =\"32006144\"]\n  13 -> 20 [size =\"32006144\"]\n  13 -> 21 [size =\"32006144\"]\n  13 -> 23 [size =\"32006144\"]\n  13 -> 24 [size =\"32006144\"]\n  13 -> 25 [size =\"32006144\"]\n  13 -> 29 [size =\"32006144\"]\n  13 -> 31 [size =\"32006144\"]\n  13 -> 32 [size =\"32006144\"]\n  14 [size=\"68771840\", alpha=\"0.13\", expect_size=\"27508736\"] \n  14 -> 37 [size =\"27508736\"]\n  14 -> 44 [size =\"27508736\"]\n  15 [size=\"34145280\", alpha=\"0.11\", expect_size=\"13658112\"] \n  15 -> 44 [size =\"13658112\"]\n  16 [size=\"26222080\", alpha=\"0.17\", expect_size=\"10488832\"] \n  16 -> 42 [size =\"10488832\"]\n  16 -> 45 [size =\"10488832\"]\n  17 [size=\"93532160\", alpha=\"0.03\", expect_size=\"37412864\"] \n  17 -> 37 [size =\"37412864\"]\n  17 -> 46 [size =\"37412864\"]\n  18 [size=\"57917440\", alpha=\"0.12\", expect_size=\"23166976\"] \n  18 -> 42 [size =\"23166976\"]\n  18 -> 45 [size =\"23166976\"]\n  19 [size=\"46520320\", alpha=\"0.13\", expect_size=\"18608128\"] \n  19 -> 38 [size =\"18608128\"]\n  19 -> 40 [size =\"18608128\"]\n  19 -> 44 [size =\"18608128\"]\n  19 -> 45 [size =\"18608128\"]\n  20 [size=\"52280320\", alpha=\"0.13\", expect_size=\"20912128\"] \n  20 -> 44 [size =\"20912128\"]\n  20 -> 45 [size =\"20912128\"]\n  21 [size=\"90739200\", alpha=\"0.04\", expect_size=\"36295680\"] \n  21 -> 36 [size =\"36295680\"]\n  21 -> 40 [size =\"36295680\"]\n  22 [size=\"71329280\", alpha=\"0.03\", expect_size=\"28531712\"] \n  22 -> 36 [size =\"28531712\"]\n  22 -> 40 [size =\"28531712\"]\n  22 -> 46 [size =\"28531712\"]\n  23 [size=\"59632640\", alpha=\"0.13\", expect_size=\"23853056\"] \n  23 -> 37 [size =\"23853056\"]\n  23 -> 40 [size =\"23853056\"]\n  23 -> 46 [size =\"23853056\"]\n  24 [size=\"59453440\", alpha=\"0.16\", expect_size=\"23781376\"] \n  24 -> 36 [size =\"23781376\"]\n  24 -> 40 [size =\"23781376\"]\n  24 -> 42 [size =\"23781376\"]\n  24 -> 44 [size =\"23781376\"]\n  24 -> 45 [size =\"23781376\"]\n  24 -> 46 [size =\"23781376\"]\n  25 [size=\"20198400\", alpha=\"0.10\", expect_size=\"8079360\"] \n  25 -> 39 [size =\"8079360\"]\n  25 -> 45 [size =\"8079360\"]\n  26 [size=\"84784640\", alpha=\"0.13\", expect_size=\"33913856\"] \n  26 -> 36 [size =\"33913856\"]\n  26 -> 45 [size =\"33913856\"]\n  27 [size=\"66329600\", alpha=\"0.14\", expect_size=\"26531840\"] \n  27 -> 36 [size =\"26531840\"]\n  27 -> 37 [size =\"26531840\"]\n  27 -> 39 [size =\"26531840\"]\n  27 -> 40 [size =\"26531840\"]\n  27 -> 44 [size =\"26531840\"]\n  27 -> 45 [size =\"26531840\"]\n  27 -> 46 [size =\"26531840\"]\n  28 [size=\"86827520\", alpha=\"0.04\", expect_size=\"34731008\"] \n  28 -> 36 [size =\"34731008\"]\n  28 -> 41 [size =\"34731008\"]\n  28 -> 46 [size =\"34731008\"]\n  29 [size=\"36725760\", alpha=\"0.08\", expect_size=\"14690304\"] \n  29 -> 36 [size =\"14690304\"]\n  29 -> 40 [size =\"14690304\"]\n  29 -> 41 [size =\"14690304\"]\n  29 -> 43 [size =\"14690304\"]\n  29 -> 45 [size =\"14690304\"]\n  29 -> 46 [size =\"14690304\"]\n  30 [size=\"110888960\", alpha=\"0.16\", expect_size=\"44355584\"] \n  30 -> 36 [size =\"44355584\"]\n  30 -> 40 [size =\"44355584\"]\n  30 -> 45 [size =\"44355584\"]\n  30 -> 46 [size =\"44355584\"]\n  31 [size=\"70625280\", alpha=\"0.11\", expect_size=\"28250112\"] \n  31 -> 40 [size =\"28250112\"]\n  31 -> 43 [size =\"28250112\"]\n  31 -> 45 [size =\"28250112\"]\n  31 -> 46 [size =\"28250112\"]\n  32 [size=\"93232640\", alpha=\"0.14\", expect_size=\"37293056\"] \n  32 -> 37 [size =\"37293056\"]\n  32 -> 41 [size =\"37293056\"]\n  32 -> 45 [size =\"37293056\"]\n  32 -> 46 [size =\"37293056\"]\n  33 [size=\"112453120\", alpha=\"0.09\", expect_size=\"44981248\"] \n  33 -> 36 [size =\"44981248\"]\n  33 -> 39 [size =\"44981248\"]\n  33 -> 41 [size =\"44981248\"]\n  33 -> 45 [size =\"44981248\"]\n  34 [size=\"70865920\", alpha=\"0.13\", expect_size=\"28346368\"] \n  34 -> 36 [size =\"28346368\"]\n  34 -> 37 [size =\"28346368\"]\n  34 -> 40 [size =\"28346368\"]\n  34 -> 44 [size =\"28346368\"]\n  35 [size=\"47485440\", alpha=\"0.01\", expect_size=\"18994176\"] \n  35 -> 36 [size =\"18994176\"]\n  35 -> 42 [size =\"18994176\"]\n  35 -> 44 [size =\"18994176\"]\n  36 [size=\"107018240\", alpha=\"0.11\", expect_size=\"42807296\"] \n  36 -> 50 [size =\"42807296\"]\n  37 [size=\"67888640\", alpha=\"0.14\", expect_size=\"27155456\"] \n  37 -> 50 [size =\"27155456\"]\n  38 [size=\"33210880\", alpha=\"0.05\", expect_size=\"13284352\"] \n  38 -> 50 [size =\"13284352\"]\n  39 [size=\"55170560\", alpha=\"0.02\", expect_size=\"22068224\"] \n  40 [size=\"105113600\", alpha=\"0.06\", expect_size=\"42045440\"] \n  41 [size=\"82723840\", alpha=\"0.02\", expect_size=\"33089536\"] \n  41 -> 48 [size =\"33089536\"]\n  41 -> 50 [size =\"33089536\"]\n  42 [size=\"27814400\", alpha=\"0.09\", expect_size=\"11125760\"] \n  42 -> 47 [size =\"11125760\"]\n  43 [size=\"110725120\", alpha=\"0.03\", expect_size=\"44290048\"] \n  43 -> 49 [size =\"44290048\"]\n  44 [size=\"44469760\", alpha=\"0.05\", expect_size=\"17787904\"] \n  44 -> 48 [size =\"17787904\"]\n  44 -> 50 [size =\"17787904\"]\n  45 [size=\"120642560\", alpha=\"0.09\", expect_size=\"48257024\"] \n  45 -> 48 [size =\"48257024\"]\n  46 [size=\"124354560\", alpha=\"0.05\", expect_size=\"49741824\"] \n  47 [size=\"68723200\", alpha=\"0.09\", expect_size=\"27489280\"] \n  48 [size=\"34176000\", alpha=\"0.06\", expect_size=\"13670400\"] \n  49 [size=\"65520640\", alpha=\"0.07\", expect_size=\"26208256\"] \n  50 [size=\"78210560\", alpha=\"0.05\", expect_size=\"31284224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.751.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126254080\", alpha=\"0.00\", expect_size=\"50501632\"] \n  1 -> 2 [size =\"50501632\"]\n  2 [size=\"112550400\", alpha=\"0.17\", expect_size=\"45020160\"] \n  2 -> 3 [size =\"45020160\"]\n  3 [size=\"92858880\", alpha=\"0.05\", expect_size=\"37143552\"] \n  3 -> 4 [size =\"37143552\"]\n  4 [size=\"58887680\", alpha=\"0.07\", expect_size=\"23555072\"] \n  4 -> 5 [size =\"23555072\"]\n  5 [size=\"105364480\", alpha=\"0.05\", expect_size=\"42145792\"] \n  5 -> 6 [size =\"42145792\"]\n  6 [size=\"126545920\", alpha=\"0.06\", expect_size=\"50618368\"] \n  6 -> 7 [size =\"50618368\"]\n  7 [size=\"77890560\", alpha=\"0.18\", expect_size=\"31156224\"] \n  7 -> 8 [size =\"31156224\"]\n  8 [size=\"34250240\", alpha=\"0.18\", expect_size=\"13700096\"] \n  8 -> 9 [size =\"13700096\"]\n  9 [size=\"97546240\", alpha=\"0.01\", expect_size=\"39018496\"] \n  9 -> 10 [size =\"39018496\"]\n  10 [size=\"101762560\", alpha=\"0.08\", expect_size=\"40705024\"] \n  10 -> 11 [size =\"40705024\"]\n  11 [size=\"34370560\", alpha=\"0.09\", expect_size=\"13748224\"] \n  11 -> 12 [size =\"13748224\"]\n  12 [size=\"36008960\", alpha=\"0.02\", expect_size=\"14403584\"] \n  12 -> 13 [size =\"14403584\"]\n  13 [size=\"18641920\", alpha=\"0.15\", expect_size=\"7456768\"] \n  13 -> 14 [size =\"7456768\"]\n  14 [size=\"45283840\", alpha=\"0.11\", expect_size=\"18113536\"] \n  14 -> 15 [size =\"18113536\"]\n  15 [size=\"86138880\", alpha=\"0.09\", expect_size=\"34455552\"] \n  15 -> 16 [size =\"34455552\"]\n  16 [size=\"116395520\", alpha=\"0.05\", expect_size=\"46558208\"] \n  16 -> 17 [size =\"46558208\"]\n  17 [size=\"31411200\", alpha=\"0.06\", expect_size=\"12564480\"] \n  17 -> 18 [size =\"12564480\"]\n  18 [size=\"19020800\", alpha=\"0.02\", expect_size=\"7608320\"] \n  18 -> 19 [size =\"7608320\"]\n  19 [size=\"127216640\", alpha=\"0.04\", expect_size=\"50886656\"] \n  19 -> 20 [size =\"50886656\"]\n  20 [size=\"17047040\", alpha=\"0.19\", expect_size=\"6818816\"] \n  20 -> 21 [size =\"6818816\"]\n  21 [size=\"66214400\", alpha=\"0.14\", expect_size=\"26485760\"] \n  21 -> 22 [size =\"26485760\"]\n  22 [size=\"116441600\", alpha=\"0.05\", expect_size=\"46576640\"] \n  22 -> 23 [size =\"46576640\"]\n  23 [size=\"130752000\", alpha=\"0.10\", expect_size=\"52300800\"] \n  23 -> 24 [size =\"52300800\"]\n  24 [size=\"103395840\", alpha=\"0.03\", expect_size=\"41358336\"] \n  24 -> 25 [size =\"41358336\"]\n  25 [size=\"48965120\", alpha=\"0.11\", expect_size=\"19586048\"] \n  25 -> 26 [size =\"19586048\"]\n  26 [size=\"104954880\", alpha=\"0.18\", expect_size=\"41981952\"] \n  26 -> 27 [size =\"41981952\"]\n  27 [size=\"16384000\", alpha=\"0.17\", expect_size=\"6553600\"] \n  27 -> 28 [size =\"6553600\"]\n  28 [size=\"48839680\", alpha=\"0.19\", expect_size=\"19535872\"] \n  28 -> 29 [size =\"19535872\"]\n  29 [size=\"62049280\", alpha=\"0.16\", expect_size=\"24819712\"] \n  29 -> 30 [size =\"24819712\"]\n  30 [size=\"84103680\", alpha=\"0.07\", expect_size=\"33641472\"] \n  30 -> 31 [size =\"33641472\"]\n  31 [size=\"78714880\", alpha=\"0.02\", expect_size=\"31485952\"] \n  31 -> 32 [size =\"31485952\"]\n  32 [size=\"41064960\", alpha=\"0.01\", expect_size=\"16425984\"] \n  32 -> 33 [size =\"16425984\"]\n  33 [size=\"70599680\", alpha=\"0.01\", expect_size=\"28239872\"] \n  33 -> 34 [size =\"28239872\"]\n  34 [size=\"129105920\", alpha=\"0.06\", expect_size=\"51642368\"] \n  34 -> 35 [size =\"51642368\"]\n  35 [size=\"26439680\", alpha=\"0.04\", expect_size=\"10575872\"] \n  35 -> 36 [size =\"10575872\"]\n  36 [size=\"90782720\", alpha=\"0.19\", expect_size=\"36313088\"] \n  36 -> 37 [size =\"36313088\"]\n  37 [size=\"81681920\", alpha=\"0.18\", expect_size=\"32672768\"] \n  37 -> 38 [size =\"32672768\"]\n  38 [size=\"63923200\", alpha=\"0.17\", expect_size=\"25569280\"] \n  38 -> 39 [size =\"25569280\"]\n  39 [size=\"58649600\", alpha=\"0.16\", expect_size=\"23459840\"] \n  39 -> 40 [size =\"23459840\"]\n  40 [size=\"32337920\", alpha=\"0.15\", expect_size=\"12935168\"] \n  40 -> 41 [size =\"12935168\"]\n  41 [size=\"73646080\", alpha=\"0.03\", expect_size=\"29458432\"] \n  41 -> 42 [size =\"29458432\"]\n  42 [size=\"85872640\", alpha=\"0.09\", expect_size=\"34349056\"] \n  42 -> 43 [size =\"34349056\"]\n  43 [size=\"91919360\", alpha=\"0.15\", expect_size=\"36767744\"] \n  43 -> 44 [size =\"36767744\"]\n  44 [size=\"97323520\", alpha=\"0.16\", expect_size=\"38929408\"] \n  44 -> 45 [size =\"38929408\"]\n  45 [size=\"16299520\", alpha=\"0.03\", expect_size=\"6519808\"] \n  45 -> 46 [size =\"6519808\"]\n  46 [size=\"39843840\", alpha=\"0.06\", expect_size=\"15937536\"] \n  46 -> 47 [size =\"15937536\"]\n  47 [size=\"35317760\", alpha=\"0.10\", expect_size=\"14127104\"] \n  47 -> 48 [size =\"14127104\"]\n  48 [size=\"21025280\", alpha=\"0.19\", expect_size=\"8410112\"] \n  48 -> 49 [size =\"8410112\"]\n  49 [size=\"120847360\", alpha=\"0.17\", expect_size=\"48338944\"] \n  49 -> 50 [size =\"48338944\"]\n  50 [size=\"94999040\", alpha=\"0.06\", expect_size=\"37999616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.752.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78953813\", alpha=\"0.01\", expect_size=\"23686144\"] \n  1 -> 37 [size =\"23686144\"]\n  1 -> 38 [size =\"23686144\"]\n  1 -> 39 [size =\"23686144\"]\n  1 -> 42 [size =\"23686144\"]\n  1 -> 44 [size =\"23686144\"]\n  1 -> 49 [size =\"23686144\"]\n  1 -> 50 [size =\"23686144\"]\n  2 [size=\"25262080\", alpha=\"0.10\", expect_size=\"7578624\"] \n  2 -> 37 [size =\"7578624\"]\n  2 -> 38 [size =\"7578624\"]\n  2 -> 39 [size =\"7578624\"]\n  2 -> 43 [size =\"7578624\"]\n  2 -> 47 [size =\"7578624\"]\n  2 -> 48 [size =\"7578624\"]\n  3 [size=\"127133013\", alpha=\"0.11\", expect_size=\"38139904\"] \n  3 -> 37 [size =\"38139904\"]\n  3 -> 38 [size =\"38139904\"]\n  3 -> 39 [size =\"38139904\"]\n  3 -> 47 [size =\"38139904\"]\n  3 -> 48 [size =\"38139904\"]\n  3 -> 49 [size =\"38139904\"]\n  4 [size=\"52578987\", alpha=\"0.11\", expect_size=\"15773696\"] \n  4 -> 37 [size =\"15773696\"]\n  4 -> 38 [size =\"15773696\"]\n  4 -> 44 [size =\"15773696\"]\n  4 -> 47 [size =\"15773696\"]\n  4 -> 48 [size =\"15773696\"]\n  5 [size=\"33365333\", alpha=\"0.16\", expect_size=\"10009600\"] \n  5 -> 37 [size =\"10009600\"]\n  5 -> 38 [size =\"10009600\"]\n  5 -> 39 [size =\"10009600\"]\n  5 -> 43 [size =\"10009600\"]\n  5 -> 44 [size =\"10009600\"]\n  5 -> 48 [size =\"10009600\"]\n  5 -> 49 [size =\"10009600\"]\n  6 [size=\"130672640\", alpha=\"0.02\", expect_size=\"39201792\"] \n  6 -> 37 [size =\"39201792\"]\n  6 -> 38 [size =\"39201792\"]\n  6 -> 41 [size =\"39201792\"]\n  6 -> 42 [size =\"39201792\"]\n  6 -> 45 [size =\"39201792\"]\n  6 -> 48 [size =\"39201792\"]\n  7 [size=\"141800107\", alpha=\"0.16\", expect_size=\"42540032\"] \n  7 -> 37 [size =\"42540032\"]\n  7 -> 39 [size =\"42540032\"]\n  7 -> 42 [size =\"42540032\"]\n  7 -> 49 [size =\"42540032\"]\n  8 [size=\"82575360\", alpha=\"0.16\", expect_size=\"24772608\"] \n  8 -> 37 [size =\"24772608\"]\n  8 -> 38 [size =\"24772608\"]\n  8 -> 39 [size =\"24772608\"]\n  8 -> 42 [size =\"24772608\"]\n  8 -> 47 [size =\"24772608\"]\n  9 [size=\"151695360\", alpha=\"0.18\", expect_size=\"45508608\"] \n  9 -> 36 [size =\"45508608\"]\n  9 -> 37 [size =\"45508608\"]\n  9 -> 38 [size =\"45508608\"]\n  9 -> 39 [size =\"45508608\"]\n  9 -> 48 [size =\"45508608\"]\n  10 [size=\"132447573\", alpha=\"0.16\", expect_size=\"39734272\"] \n  10 -> 36 [size =\"39734272\"]\n  10 -> 37 [size =\"39734272\"]\n  10 -> 38 [size =\"39734272\"]\n  10 -> 39 [size =\"39734272\"]\n  10 -> 43 [size =\"39734272\"]\n  10 -> 50 [size =\"39734272\"]\n  11 [size=\"32529067\", alpha=\"0.14\", expect_size=\"9758720\"] \n  11 -> 37 [size =\"9758720\"]\n  11 -> 37 [size =\"9758720\"]\n  11 -> 38 [size =\"9758720\"]\n  11 -> 42 [size =\"9758720\"]\n  11 -> 44 [size =\"9758720\"]\n  11 -> 46 [size =\"9758720\"]\n  12 [size=\"38389760\", alpha=\"0.07\", expect_size=\"11516928\"] \n  12 -> 37 [size =\"11516928\"]\n  12 -> 38 [size =\"11516928\"]\n  12 -> 38 [size =\"11516928\"]\n  12 -> 42 [size =\"11516928\"]\n  12 -> 44 [size =\"11516928\"]\n  12 -> 46 [size =\"11516928\"]\n  12 -> 48 [size =\"11516928\"]\n  13 [size=\"116834987\", alpha=\"0.01\", expect_size=\"35050496\"] \n  13 -> 37 [size =\"35050496\"]\n  13 -> 44 [size =\"35050496\"]\n  13 -> 47 [size =\"35050496\"]\n  13 -> 48 [size =\"35050496\"]\n  14 [size=\"49814187\", alpha=\"0.05\", expect_size=\"14944256\"] \n  14 -> 36 [size =\"14944256\"]\n  14 -> 37 [size =\"14944256\"]\n  14 -> 38 [size =\"14944256\"]\n  14 -> 47 [size =\"14944256\"]\n  14 -> 48 [size =\"14944256\"]\n  15 [size=\"132474880\", alpha=\"0.13\", expect_size=\"39742464\"] \n  15 -> 38 [size =\"39742464\"]\n  15 -> 39 [size =\"39742464\"]\n  15 -> 42 [size =\"39742464\"]\n  15 -> 48 [size =\"39742464\"]\n  15 -> 50 [size =\"39742464\"]\n  16 [size=\"102871040\", alpha=\"0.09\", expect_size=\"30861312\"] \n  16 -> 38 [size =\"30861312\"]\n  16 -> 39 [size =\"30861312\"]\n  16 -> 47 [size =\"30861312\"]\n  16 -> 49 [size =\"30861312\"]\n  16 -> 50 [size =\"30861312\"]\n  17 [size=\"116101120\", alpha=\"0.03\", expect_size=\"34830336\"] \n  17 -> 39 [size =\"34830336\"]\n  17 -> 41 [size =\"34830336\"]\n  17 -> 46 [size =\"34830336\"]\n  18 [size=\"81875627\", alpha=\"0.18\", expect_size=\"24562688\"] \n  18 -> 37 [size =\"24562688\"]\n  18 -> 39 [size =\"24562688\"]\n  18 -> 41 [size =\"24562688\"]\n  18 -> 43 [size =\"24562688\"]\n  18 -> 44 [size =\"24562688\"]\n  18 -> 49 [size =\"24562688\"]\n  19 [size=\"47861760\", alpha=\"0.13\", expect_size=\"14358528\"] \n  19 -> 37 [size =\"14358528\"]\n  19 -> 41 [size =\"14358528\"]\n  19 -> 44 [size =\"14358528\"]\n  20 [size=\"30262613\", alpha=\"0.10\", expect_size=\"9078784\"] \n  20 -> 37 [size =\"9078784\"]\n  20 -> 38 [size =\"9078784\"]\n  20 -> 44 [size =\"9078784\"]\n  20 -> 46 [size =\"9078784\"]\n  20 -> 48 [size =\"9078784\"]\n  21 [size=\"153804800\", alpha=\"0.15\", expect_size=\"46141440\"] \n  21 -> 39 [size =\"46141440\"]\n  21 -> 43 [size =\"46141440\"]\n  21 -> 46 [size =\"46141440\"]\n  21 -> 47 [size =\"46141440\"]\n  21 -> 50 [size =\"46141440\"]\n  22 [size=\"108117333\", alpha=\"0.00\", expect_size=\"32435200\"] \n  22 -> 37 [size =\"32435200\"]\n  22 -> 39 [size =\"32435200\"]\n  22 -> 44 [size =\"32435200\"]\n  22 -> 48 [size =\"32435200\"]\n  23 [size=\"161187840\", alpha=\"0.20\", expect_size=\"48356352\"] \n  23 -> 36 [size =\"48356352\"]\n  23 -> 39 [size =\"48356352\"]\n  23 -> 42 [size =\"48356352\"]\n  23 -> 43 [size =\"48356352\"]\n  23 -> 48 [size =\"48356352\"]\n  24 [size=\"168506027\", alpha=\"0.04\", expect_size=\"50551808\"] \n  24 -> 36 [size =\"50551808\"]\n  24 -> 44 [size =\"50551808\"]\n  24 -> 47 [size =\"50551808\"]\n  24 -> 48 [size =\"50551808\"]\n  25 [size=\"50868907\", alpha=\"0.10\", expect_size=\"15260672\"] \n  25 -> 37 [size =\"15260672\"]\n  25 -> 38 [size =\"15260672\"]\n  25 -> 41 [size =\"15260672\"]\n  25 -> 43 [size =\"15260672\"]\n  25 -> 44 [size =\"15260672\"]\n  25 -> 46 [size =\"15260672\"]\n  25 -> 48 [size =\"15260672\"]\n  25 -> 49 [size =\"15260672\"]\n  26 [size=\"155620693\", alpha=\"0.10\", expect_size=\"46686208\"] \n  26 -> 38 [size =\"46686208\"]\n  26 -> 38 [size =\"46686208\"]\n  26 -> 39 [size =\"46686208\"]\n  26 -> 42 [size =\"46686208\"]\n  26 -> 44 [size =\"46686208\"]\n  26 -> 47 [size =\"46686208\"]\n  26 -> 48 [size =\"46686208\"]\n  26 -> 49 [size =\"46686208\"]\n  27 [size=\"67478187\", alpha=\"0.06\", expect_size=\"20243456\"] \n  27 -> 37 [size =\"20243456\"]\n  27 -> 38 [size =\"20243456\"]\n  27 -> 39 [size =\"20243456\"]\n  27 -> 43 [size =\"20243456\"]\n  27 -> 44 [size =\"20243456\"]\n  27 -> 47 [size =\"20243456\"]\n  27 -> 49 [size =\"20243456\"]\n  28 [size=\"87278933\", alpha=\"0.11\", expect_size=\"26183680\"] \n  28 -> 36 [size =\"26183680\"]\n  28 -> 38 [size =\"26183680\"]\n  28 -> 39 [size =\"26183680\"]\n  28 -> 44 [size =\"26183680\"]\n  28 -> 48 [size =\"26183680\"]\n  29 [size=\"73833813\", alpha=\"0.12\", expect_size=\"22150144\"] \n  29 -> 39 [size =\"22150144\"]\n  29 -> 42 [size =\"22150144\"]\n  29 -> 48 [size =\"22150144\"]\n  30 [size=\"21391360\", alpha=\"0.08\", expect_size=\"6417408\"] \n  30 -> 49 [size =\"6417408\"]\n  31 [size=\"100631893\", alpha=\"0.06\", expect_size=\"30189568\"] \n  31 -> 38 [size =\"30189568\"]\n  31 -> 44 [size =\"30189568\"]\n  31 -> 47 [size =\"30189568\"]\n  31 -> 48 [size =\"30189568\"]\n  32 [size=\"58463573\", alpha=\"0.07\", expect_size=\"17539072\"] \n  32 -> 37 [size =\"17539072\"]\n  32 -> 38 [size =\"17539072\"]\n  32 -> 40 [size =\"17539072\"]\n  32 -> 41 [size =\"17539072\"]\n  32 -> 44 [size =\"17539072\"]\n  33 [size=\"59955200\", alpha=\"0.00\", expect_size=\"17986560\"] \n  34 [size=\"57483947\", alpha=\"0.18\", expect_size=\"17245184\"] \n  34 -> 37 [size =\"17245184\"]\n  34 -> 41 [size =\"17245184\"]\n  34 -> 48 [size =\"17245184\"]\n  35 [size=\"86152533\", alpha=\"0.10\", expect_size=\"25845760\"] \n  35 -> 38 [size =\"25845760\"]\n  35 -> 47 [size =\"25845760\"]\n  36 [size=\"161846613\", alpha=\"0.13\", expect_size=\"48553984\"] \n  37 [size=\"83196587\", alpha=\"0.08\", expect_size=\"24958976\"] \n  38 [size=\"131809280\", alpha=\"0.12\", expect_size=\"39542784\"] \n  39 [size=\"58217813\", alpha=\"0.20\", expect_size=\"17465344\"] \n  40 [size=\"153924267\", alpha=\"0.09\", expect_size=\"46177280\"] \n  41 [size=\"62044160\", alpha=\"0.15\", expect_size=\"18613248\"] \n  42 [size=\"112199680\", alpha=\"0.13\", expect_size=\"33659904\"] \n  43 [size=\"168028160\", alpha=\"0.10\", expect_size=\"50408448\"] \n  44 [size=\"171591680\", alpha=\"0.05\", expect_size=\"51477504\"] \n  45 [size=\"155238400\", alpha=\"0.05\", expect_size=\"46571520\"] \n  46 [size=\"76677120\", alpha=\"0.02\", expect_size=\"23003136\"] \n  47 [size=\"21302613\", alpha=\"0.06\", expect_size=\"6390784\"] \n  48 [size=\"87743147\", alpha=\"0.18\", expect_size=\"26322944\"] \n  49 [size=\"25821867\", alpha=\"0.18\", expect_size=\"7746560\"] \n  50 [size=\"23217493\", alpha=\"0.18\", expect_size=\"6965248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.753.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42962944\", alpha=\"0.14\", expect_size=\"21481472\"] \n  1 -> 17 [size =\"21481472\"]\n  1 -> 18 [size =\"21481472\"]\n  1 -> 19 [size =\"21481472\"]\n  1 -> 21 [size =\"21481472\"]\n  1 -> 24 [size =\"21481472\"]\n  1 -> 25 [size =\"21481472\"]\n  1 -> 26 [size =\"21481472\"]\n  1 -> 27 [size =\"21481472\"]\n  1 -> 28 [size =\"21481472\"]\n  1 -> 30 [size =\"21481472\"]\n  1 -> 31 [size =\"21481472\"]\n  2 [size=\"94437376\", alpha=\"0.19\", expect_size=\"47218688\"] \n  2 -> 17 [size =\"47218688\"]\n  2 -> 18 [size =\"47218688\"]\n  2 -> 26 [size =\"47218688\"]\n  2 -> 28 [size =\"47218688\"]\n  3 [size=\"20791296\", alpha=\"0.08\", expect_size=\"10395648\"] \n  3 -> 17 [size =\"10395648\"]\n  3 -> 18 [size =\"10395648\"]\n  3 -> 19 [size =\"10395648\"]\n  3 -> 20 [size =\"10395648\"]\n  3 -> 24 [size =\"10395648\"]\n  3 -> 26 [size =\"10395648\"]\n  3 -> 27 [size =\"10395648\"]\n  3 -> 28 [size =\"10395648\"]\n  3 -> 30 [size =\"10395648\"]\n  4 [size=\"75524096\", alpha=\"0.06\", expect_size=\"37762048\"] \n  4 -> 17 [size =\"37762048\"]\n  4 -> 18 [size =\"37762048\"]\n  4 -> 19 [size =\"37762048\"]\n  4 -> 20 [size =\"37762048\"]\n  4 -> 25 [size =\"37762048\"]\n  4 -> 26 [size =\"37762048\"]\n  4 -> 28 [size =\"37762048\"]\n  4 -> 28 [size =\"37762048\"]\n  4 -> 29 [size =\"37762048\"]\n  4 -> 30 [size =\"37762048\"]\n  4 -> 31 [size =\"37762048\"]\n  5 [size=\"45080576\", alpha=\"0.07\", expect_size=\"22540288\"] \n  5 -> 17 [size =\"22540288\"]\n  5 -> 18 [size =\"22540288\"]\n  5 -> 20 [size =\"22540288\"]\n  5 -> 25 [size =\"22540288\"]\n  5 -> 26 [size =\"22540288\"]\n  5 -> 27 [size =\"22540288\"]\n  5 -> 28 [size =\"22540288\"]\n  5 -> 29 [size =\"22540288\"]\n  5 -> 30 [size =\"22540288\"]\n  5 -> 31 [size =\"22540288\"]\n  6 [size=\"65374208\", alpha=\"0.12\", expect_size=\"32687104\"] \n  6 -> 17 [size =\"32687104\"]\n  6 -> 18 [size =\"32687104\"]\n  6 -> 19 [size =\"32687104\"]\n  6 -> 21 [size =\"32687104\"]\n  6 -> 24 [size =\"32687104\"]\n  6 -> 27 [size =\"32687104\"]\n  6 -> 28 [size =\"32687104\"]\n  6 -> 29 [size =\"32687104\"]\n  6 -> 30 [size =\"32687104\"]\n  6 -> 31 [size =\"32687104\"]\n  7 [size=\"95913984\", alpha=\"0.20\", expect_size=\"47956992\"] \n  7 -> 17 [size =\"47956992\"]\n  7 -> 18 [size =\"47956992\"]\n  7 -> 19 [size =\"47956992\"]\n  7 -> 22 [size =\"47956992\"]\n  7 -> 24 [size =\"47956992\"]\n  7 -> 25 [size =\"47956992\"]\n  7 -> 28 [size =\"47956992\"]\n  8 [size=\"33028096\", alpha=\"0.07\", expect_size=\"16514048\"] \n  8 -> 17 [size =\"16514048\"]\n  8 -> 18 [size =\"16514048\"]\n  8 -> 19 [size =\"16514048\"]\n  8 -> 20 [size =\"16514048\"]\n  8 -> 25 [size =\"16514048\"]\n  8 -> 28 [size =\"16514048\"]\n  8 -> 28 [size =\"16514048\"]\n  9 [size=\"28059648\", alpha=\"0.14\", expect_size=\"14029824\"] \n  9 -> 17 [size =\"14029824\"]\n  9 -> 18 [size =\"14029824\"]\n  9 -> 19 [size =\"14029824\"]\n  9 -> 22 [size =\"14029824\"]\n  9 -> 25 [size =\"14029824\"]\n  9 -> 26 [size =\"14029824\"]\n  9 -> 29 [size =\"14029824\"]\n  10 [size=\"25829376\", alpha=\"0.10\", expect_size=\"12914688\"] \n  10 -> 17 [size =\"12914688\"]\n  10 -> 18 [size =\"12914688\"]\n  10 -> 19 [size =\"12914688\"]\n  10 -> 25 [size =\"12914688\"]\n  10 -> 26 [size =\"12914688\"]\n  10 -> 27 [size =\"12914688\"]\n  10 -> 29 [size =\"12914688\"]\n  10 -> 30 [size =\"12914688\"]\n  11 [size=\"62537728\", alpha=\"0.05\", expect_size=\"31268864\"] \n  11 -> 17 [size =\"31268864\"]\n  11 -> 18 [size =\"31268864\"]\n  11 -> 25 [size =\"31268864\"]\n  11 -> 27 [size =\"31268864\"]\n  11 -> 29 [size =\"31268864\"]\n  11 -> 30 [size =\"31268864\"]\n  12 [size=\"35768320\", alpha=\"0.17\", expect_size=\"17884160\"] \n  12 -> 23 [size =\"17884160\"]\n  12 -> 24 [size =\"17884160\"]\n  12 -> 25 [size =\"17884160\"]\n  12 -> 26 [size =\"17884160\"]\n  12 -> 28 [size =\"17884160\"]\n  12 -> 29 [size =\"17884160\"]\n  13 [size=\"32892928\", alpha=\"0.01\", expect_size=\"16446464\"] \n  13 -> 17 [size =\"16446464\"]\n  13 -> 23 [size =\"16446464\"]\n  13 -> 24 [size =\"16446464\"]\n  13 -> 26 [size =\"16446464\"]\n  13 -> 28 [size =\"16446464\"]\n  13 -> 29 [size =\"16446464\"]\n  14 [size=\"72253440\", alpha=\"0.13\", expect_size=\"36126720\"] \n  14 -> 17 [size =\"36126720\"]\n  14 -> 25 [size =\"36126720\"]\n  14 -> 27 [size =\"36126720\"]\n  14 -> 28 [size =\"36126720\"]\n  14 -> 30 [size =\"36126720\"]\n  15 [size=\"100734976\", alpha=\"0.03\", expect_size=\"50367488\"] \n  15 -> 17 [size =\"50367488\"]\n  15 -> 25 [size =\"50367488\"]\n  15 -> 30 [size =\"50367488\"]\n  16 [size=\"40718336\", alpha=\"0.04\", expect_size=\"20359168\"] \n  16 -> 17 [size =\"20359168\"]\n  16 -> 18 [size =\"20359168\"]\n  16 -> 19 [size =\"20359168\"]\n  16 -> 21 [size =\"20359168\"]\n  16 -> 24 [size =\"20359168\"]\n  16 -> 25 [size =\"20359168\"]\n  16 -> 26 [size =\"20359168\"]\n  16 -> 28 [size =\"20359168\"]\n  16 -> 29 [size =\"20359168\"]\n  16 -> 30 [size =\"20359168\"]\n  17 [size=\"98455552\", alpha=\"0.05\", expect_size=\"49227776\"] \n  17 -> 33 [size =\"49227776\"]\n  17 -> 35 [size =\"49227776\"]\n  17 -> 36 [size =\"49227776\"]\n  17 -> 39 [size =\"49227776\"]\n  17 -> 40 [size =\"49227776\"]\n  17 -> 41 [size =\"49227776\"]\n  17 -> 42 [size =\"49227776\"]\n  17 -> 44 [size =\"49227776\"]\n  17 -> 46 [size =\"49227776\"]\n  18 [size=\"97767424\", alpha=\"0.15\", expect_size=\"48883712\"] \n  18 -> 32 [size =\"48883712\"]\n  18 -> 34 [size =\"48883712\"]\n  18 -> 39 [size =\"48883712\"]\n  18 -> 41 [size =\"48883712\"]\n  18 -> 42 [size =\"48883712\"]\n  18 -> 43 [size =\"48883712\"]\n  18 -> 44 [size =\"48883712\"]\n  19 [size=\"37056512\", alpha=\"0.18\", expect_size=\"18528256\"] \n  19 -> 33 [size =\"18528256\"]\n  19 -> 34 [size =\"18528256\"]\n  19 -> 36 [size =\"18528256\"]\n  19 -> 37 [size =\"18528256\"]\n  19 -> 39 [size =\"18528256\"]\n  19 -> 40 [size =\"18528256\"]\n  20 [size=\"103753728\", alpha=\"0.14\", expect_size=\"51876864\"] \n  20 -> 39 [size =\"51876864\"]\n  20 -> 40 [size =\"51876864\"]\n  20 -> 41 [size =\"51876864\"]\n  20 -> 42 [size =\"51876864\"]\n  20 -> 44 [size =\"51876864\"]\n  21 [size=\"57460736\", alpha=\"0.17\", expect_size=\"28730368\"] \n  21 -> 32 [size =\"28730368\"]\n  21 -> 35 [size =\"28730368\"]\n  21 -> 36 [size =\"28730368\"]\n  21 -> 37 [size =\"28730368\"]\n  21 -> 39 [size =\"28730368\"]\n  21 -> 40 [size =\"28730368\"]\n  21 -> 41 [size =\"28730368\"]\n  21 -> 42 [size =\"28730368\"]\n  21 -> 43 [size =\"28730368\"]\n  21 -> 44 [size =\"28730368\"]\n  22 [size=\"78796800\", alpha=\"0.18\", expect_size=\"39398400\"] \n  22 -> 32 [size =\"39398400\"]\n  22 -> 35 [size =\"39398400\"]\n  22 -> 39 [size =\"39398400\"]\n  22 -> 40 [size =\"39398400\"]\n  22 -> 41 [size =\"39398400\"]\n  22 -> 42 [size =\"39398400\"]\n  22 -> 45 [size =\"39398400\"]\n  23 [size=\"64198656\", alpha=\"0.01\", expect_size=\"32099328\"] \n  23 -> 36 [size =\"32099328\"]\n  23 -> 39 [size =\"32099328\"]\n  23 -> 40 [size =\"32099328\"]\n  23 -> 41 [size =\"32099328\"]\n  23 -> 45 [size =\"32099328\"]\n  24 [size=\"69945344\", alpha=\"0.17\", expect_size=\"34972672\"] \n  24 -> 32 [size =\"34972672\"]\n  24 -> 36 [size =\"34972672\"]\n  24 -> 38 [size =\"34972672\"]\n  24 -> 41 [size =\"34972672\"]\n  24 -> 45 [size =\"34972672\"]\n  25 [size=\"36421632\", alpha=\"0.01\", expect_size=\"18210816\"] \n  25 -> 32 [size =\"18210816\"]\n  25 -> 33 [size =\"18210816\"]\n  25 -> 34 [size =\"18210816\"]\n  25 -> 35 [size =\"18210816\"]\n  25 -> 36 [size =\"18210816\"]\n  25 -> 37 [size =\"18210816\"]\n  25 -> 38 [size =\"18210816\"]\n  25 -> 39 [size =\"18210816\"]\n  25 -> 40 [size =\"18210816\"]\n  25 -> 45 [size =\"18210816\"]\n  26 [size=\"52172800\", alpha=\"0.17\", expect_size=\"26086400\"] \n  26 -> 32 [size =\"26086400\"]\n  26 -> 34 [size =\"26086400\"]\n  26 -> 35 [size =\"26086400\"]\n  26 -> 35 [size =\"26086400\"]\n  26 -> 37 [size =\"26086400\"]\n  26 -> 38 [size =\"26086400\"]\n  26 -> 39 [size =\"26086400\"]\n  26 -> 40 [size =\"26086400\"]\n  26 -> 40 [size =\"26086400\"]\n  26 -> 41 [size =\"26086400\"]\n  26 -> 42 [size =\"26086400\"]\n  26 -> 43 [size =\"26086400\"]\n  27 [size=\"69726208\", alpha=\"0.11\", expect_size=\"34863104\"] \n  27 -> 32 [size =\"34863104\"]\n  27 -> 33 [size =\"34863104\"]\n  27 -> 34 [size =\"34863104\"]\n  27 -> 36 [size =\"34863104\"]\n  27 -> 40 [size =\"34863104\"]\n  27 -> 41 [size =\"34863104\"]\n  27 -> 43 [size =\"34863104\"]\n  28 [size=\"91166720\", alpha=\"0.09\", expect_size=\"45583360\"] \n  28 -> 32 [size =\"45583360\"]\n  28 -> 33 [size =\"45583360\"]\n  28 -> 34 [size =\"45583360\"]\n  28 -> 37 [size =\"45583360\"]\n  28 -> 40 [size =\"45583360\"]\n  28 -> 43 [size =\"45583360\"]\n  28 -> 45 [size =\"45583360\"]\n  29 [size=\"65359872\", alpha=\"0.12\", expect_size=\"32679936\"] \n  29 -> 33 [size =\"32679936\"]\n  29 -> 36 [size =\"32679936\"]\n  29 -> 37 [size =\"32679936\"]\n  29 -> 38 [size =\"32679936\"]\n  29 -> 39 [size =\"32679936\"]\n  29 -> 40 [size =\"32679936\"]\n  29 -> 41 [size =\"32679936\"]\n  29 -> 42 [size =\"32679936\"]\n  29 -> 43 [size =\"32679936\"]\n  29 -> 44 [size =\"32679936\"]\n  30 [size=\"57724928\", alpha=\"0.17\", expect_size=\"28862464\"] \n  30 -> 32 [size =\"28862464\"]\n  30 -> 36 [size =\"28862464\"]\n  30 -> 37 [size =\"28862464\"]\n  30 -> 38 [size =\"28862464\"]\n  30 -> 39 [size =\"28862464\"]\n  30 -> 42 [size =\"28862464\"]\n  30 -> 46 [size =\"28862464\"]\n  31 [size=\"31264768\", alpha=\"0.14\", expect_size=\"15632384\"] \n  31 -> 35 [size =\"15632384\"]\n  31 -> 37 [size =\"15632384\"]\n  31 -> 38 [size =\"15632384\"]\n  31 -> 39 [size =\"15632384\"]\n  31 -> 41 [size =\"15632384\"]\n  31 -> 42 [size =\"15632384\"]\n  31 -> 44 [size =\"15632384\"]\n  32 [size=\"18456576\", alpha=\"0.15\", expect_size=\"9228288\"] \n  32 -> 48 [size =\"9228288\"]\n  33 [size=\"103254016\", alpha=\"0.02\", expect_size=\"51627008\"] \n  33 -> 47 [size =\"51627008\"]\n  33 -> 49 [size =\"51627008\"]\n  34 [size=\"12851200\", alpha=\"0.02\", expect_size=\"6425600\"] \n  34 -> 47 [size =\"6425600\"]\n  35 [size=\"95399936\", alpha=\"0.01\", expect_size=\"47699968\"] \n  35 -> 47 [size =\"47699968\"]\n  35 -> 49 [size =\"47699968\"]\n  36 [size=\"102381568\", alpha=\"0.06\", expect_size=\"51190784\"] \n  36 -> 47 [size =\"51190784\"]\n  36 -> 48 [size =\"51190784\"]\n  37 [size=\"88686592\", alpha=\"0.10\", expect_size=\"44343296\"] \n  37 -> 47 [size =\"44343296\"]\n  37 -> 48 [size =\"44343296\"]\n  37 -> 49 [size =\"44343296\"]\n  38 [size=\"45371392\", alpha=\"0.12\", expect_size=\"22685696\"] \n  38 -> 47 [size =\"22685696\"]\n  38 -> 48 [size =\"22685696\"]\n  38 -> 49 [size =\"22685696\"]\n  38 -> 50 [size =\"22685696\"]\n  39 [size=\"89352192\", alpha=\"0.00\", expect_size=\"44676096\"] \n  39 -> 47 [size =\"44676096\"]\n  39 -> 48 [size =\"44676096\"]\n  40 [size=\"49461248\", alpha=\"0.08\", expect_size=\"24730624\"] \n  40 -> 49 [size =\"24730624\"]\n  41 [size=\"35414016\", alpha=\"0.06\", expect_size=\"17707008\"] \n  41 -> 47 [size =\"17707008\"]\n  41 -> 49 [size =\"17707008\"]\n  42 [size=\"99262464\", alpha=\"0.18\", expect_size=\"49631232\"] \n  42 -> 47 [size =\"49631232\"]\n  42 -> 49 [size =\"49631232\"]\n  43 [size=\"77545472\", alpha=\"0.01\", expect_size=\"38772736\"] \n  43 -> 48 [size =\"38772736\"]\n  43 -> 49 [size =\"38772736\"]\n  44 [size=\"87044096\", alpha=\"0.18\", expect_size=\"43522048\"] \n  44 -> 47 [size =\"43522048\"]\n  44 -> 48 [size =\"43522048\"]\n  44 -> 49 [size =\"43522048\"]\n  45 [size=\"95156224\", alpha=\"0.19\", expect_size=\"47578112\"] \n  45 -> 48 [size =\"47578112\"]\n  45 -> 49 [size =\"47578112\"]\n  45 -> 50 [size =\"47578112\"]\n  46 [size=\"97757184\", alpha=\"0.10\", expect_size=\"48878592\"] \n  46 -> 49 [size =\"48878592\"]\n  46 -> 49 [size =\"48878592\"]\n  47 [size=\"30707712\", alpha=\"0.13\", expect_size=\"15353856\"] \n  48 [size=\"76353536\", alpha=\"0.13\", expect_size=\"38176768\"] \n  49 [size=\"38858752\", alpha=\"0.05\", expect_size=\"19429376\"] \n  50 [size=\"39168000\", alpha=\"0.07\", expect_size=\"19584000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.754.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40239104\", alpha=\"0.10\", expect_size=\"20119552\"] \n  1 -> 4 [size =\"20119552\"]\n  1 -> 5 [size =\"20119552\"]\n  2 [size=\"95033344\", alpha=\"0.07\", expect_size=\"47516672\"] \n  2 -> 5 [size =\"47516672\"]\n  2 -> 5 [size =\"47516672\"]\n  3 [size=\"69138432\", alpha=\"0.09\", expect_size=\"34569216\"] \n  4 [size=\"24766464\", alpha=\"0.14\", expect_size=\"12383232\"] \n  4 -> 6 [size =\"12383232\"]\n  4 -> 8 [size =\"12383232\"]\n  5 [size=\"72941568\", alpha=\"0.15\", expect_size=\"36470784\"] \n  5 -> 6 [size =\"36470784\"]\n  5 -> 7 [size =\"36470784\"]\n  5 -> 8 [size =\"36470784\"]\n  6 [size=\"34877440\", alpha=\"0.17\", expect_size=\"17438720\"] \n  6 -> 9 [size =\"17438720\"]\n  6 -> 10 [size =\"17438720\"]\n  6 -> 11 [size =\"17438720\"]\n  7 [size=\"66715648\", alpha=\"0.09\", expect_size=\"33357824\"] \n  7 -> 10 [size =\"33357824\"]\n  7 -> 11 [size =\"33357824\"]\n  8 [size=\"100556800\", alpha=\"0.17\", expect_size=\"50278400\"] \n  8 -> 10 [size =\"50278400\"]\n  8 -> 11 [size =\"50278400\"]\n  9 [size=\"57602048\", alpha=\"0.19\", expect_size=\"28801024\"] \n  9 -> 13 [size =\"28801024\"]\n  10 [size=\"64452608\", alpha=\"0.03\", expect_size=\"32226304\"] \n  10 -> 12 [size =\"32226304\"]\n  11 [size=\"45619200\", alpha=\"0.07\", expect_size=\"22809600\"] \n  11 -> 12 [size =\"22809600\"]\n  11 -> 13 [size =\"22809600\"]\n  12 [size=\"94277632\", alpha=\"0.20\", expect_size=\"47138816\"] \n  12 -> 14 [size =\"47138816\"]\n  12 -> 15 [size =\"47138816\"]\n  12 -> 16 [size =\"47138816\"]\n  13 [size=\"30660608\", alpha=\"0.10\", expect_size=\"15330304\"] \n  13 -> 15 [size =\"15330304\"]\n  13 -> 16 [size =\"15330304\"]\n  14 [size=\"71452672\", alpha=\"0.19\", expect_size=\"35726336\"] \n  14 -> 19 [size =\"35726336\"]\n  15 [size=\"42055680\", alpha=\"0.01\", expect_size=\"21027840\"] \n  15 -> 17 [size =\"21027840\"]\n  15 -> 19 [size =\"21027840\"]\n  16 [size=\"19761152\", alpha=\"0.16\", expect_size=\"9880576\"] \n  16 -> 18 [size =\"9880576\"]\n  16 -> 19 [size =\"9880576\"]\n  17 [size=\"97820672\", alpha=\"0.17\", expect_size=\"48910336\"] \n  17 -> 20 [size =\"48910336\"]\n  17 -> 21 [size =\"48910336\"]\n  18 [size=\"47462400\", alpha=\"0.08\", expect_size=\"23731200\"] \n  18 -> 20 [size =\"23731200\"]\n  19 [size=\"33589248\", alpha=\"0.02\", expect_size=\"16794624\"] \n  19 -> 20 [size =\"16794624\"]\n  20 [size=\"27373568\", alpha=\"0.19\", expect_size=\"13686784\"] \n  20 -> 22 [size =\"13686784\"]\n  20 -> 23 [size =\"13686784\"]\n  21 [size=\"41400320\", alpha=\"0.01\", expect_size=\"20700160\"] \n  21 -> 22 [size =\"20700160\"]\n  21 -> 23 [size =\"20700160\"]\n  22 [size=\"74196992\", alpha=\"0.02\", expect_size=\"37098496\"] \n  22 -> 24 [size =\"37098496\"]\n  22 -> 25 [size =\"37098496\"]\n  23 [size=\"72527872\", alpha=\"0.15\", expect_size=\"36263936\"] \n  23 -> 24 [size =\"36263936\"]\n  23 -> 25 [size =\"36263936\"]\n  24 [size=\"26568704\", alpha=\"0.11\", expect_size=\"13284352\"] \n  24 -> 26 [size =\"13284352\"]\n  24 -> 27 [size =\"13284352\"]\n  25 [size=\"21688320\", alpha=\"0.00\", expect_size=\"10844160\"] \n  25 -> 26 [size =\"10844160\"]\n  25 -> 27 [size =\"10844160\"]\n  25 -> 28 [size =\"10844160\"]\n  26 [size=\"26118144\", alpha=\"0.15\", expect_size=\"13059072\"] \n  26 -> 29 [size =\"13059072\"]\n  26 -> 30 [size =\"13059072\"]\n  27 [size=\"101513216\", alpha=\"0.01\", expect_size=\"50756608\"] \n  27 -> 29 [size =\"50756608\"]\n  27 -> 30 [size =\"50756608\"]\n  28 [size=\"87451648\", alpha=\"0.07\", expect_size=\"43725824\"] \n  28 -> 30 [size =\"43725824\"]\n  29 [size=\"32346112\", alpha=\"0.02\", expect_size=\"16173056\"] \n  29 -> 31 [size =\"16173056\"]\n  29 -> 32 [size =\"16173056\"]\n  29 -> 33 [size =\"16173056\"]\n  30 [size=\"42807296\", alpha=\"0.09\", expect_size=\"21403648\"] \n  30 -> 31 [size =\"21403648\"]\n  30 -> 32 [size =\"21403648\"]\n  30 -> 33 [size =\"21403648\"]\n  31 [size=\"36257792\", alpha=\"0.03\", expect_size=\"18128896\"] \n  31 -> 35 [size =\"18128896\"]\n  32 [size=\"42448896\", alpha=\"0.16\", expect_size=\"21224448\"] \n  33 [size=\"51558400\", alpha=\"0.12\", expect_size=\"25779200\"] \n  33 -> 34 [size =\"25779200\"]\n  33 -> 35 [size =\"25779200\"]\n  34 [size=\"27869184\", alpha=\"0.01\", expect_size=\"13934592\"] \n  34 -> 36 [size =\"13934592\"]\n  34 -> 37 [size =\"13934592\"]\n  34 -> 38 [size =\"13934592\"]\n  35 [size=\"80031744\", alpha=\"0.17\", expect_size=\"40015872\"] \n  35 -> 37 [size =\"40015872\"]\n  36 [size=\"81760256\", alpha=\"0.15\", expect_size=\"40880128\"] \n  36 -> 40 [size =\"40880128\"]\n  37 [size=\"57446400\", alpha=\"0.12\", expect_size=\"28723200\"] \n  37 -> 39 [size =\"28723200\"]\n  37 -> 40 [size =\"28723200\"]\n  38 [size=\"63322112\", alpha=\"0.16\", expect_size=\"31661056\"] \n  38 -> 39 [size =\"31661056\"]\n  39 [size=\"95086592\", alpha=\"0.05\", expect_size=\"47543296\"] \n  39 -> 41 [size =\"47543296\"]\n  39 -> 42 [size =\"47543296\"]\n  40 [size=\"11114496\", alpha=\"0.18\", expect_size=\"5557248\"] \n  40 -> 42 [size =\"5557248\"]\n  41 [size=\"54120448\", alpha=\"0.17\", expect_size=\"27060224\"] \n  41 -> 43 [size =\"27060224\"]\n  41 -> 44 [size =\"27060224\"]\n  42 [size=\"70492160\", alpha=\"0.10\", expect_size=\"35246080\"] \n  42 -> 43 [size =\"35246080\"]\n  43 [size=\"49651712\", alpha=\"0.16\", expect_size=\"24825856\"] \n  43 -> 45 [size =\"24825856\"]\n  43 -> 46 [size =\"24825856\"]\n  44 [size=\"11778048\", alpha=\"0.06\", expect_size=\"5889024\"] \n  44 -> 45 [size =\"5889024\"]\n  44 -> 46 [size =\"5889024\"]\n  45 [size=\"17836032\", alpha=\"0.17\", expect_size=\"8918016\"] \n  45 -> 47 [size =\"8918016\"]\n  46 [size=\"99397632\", alpha=\"0.12\", expect_size=\"49698816\"] \n  46 -> 47 [size =\"49698816\"]\n  46 -> 48 [size =\"49698816\"]\n  47 [size=\"76996608\", alpha=\"0.07\", expect_size=\"38498304\"] \n  47 -> 49 [size =\"38498304\"]\n  47 -> 50 [size =\"38498304\"]\n  48 [size=\"37965824\", alpha=\"0.18\", expect_size=\"18982912\"] \n  48 -> 50 [size =\"18982912\"]\n  49 [size=\"19286016\", alpha=\"0.13\", expect_size=\"9643008\"] \n  50 [size=\"44058624\", alpha=\"0.15\", expect_size=\"22029312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.755.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44169216\", alpha=\"0.11\", expect_size=\"22084608\"] \n  1 -> 17 [size =\"22084608\"]\n  1 -> 21 [size =\"22084608\"]\n  1 -> 30 [size =\"22084608\"]\n  2 [size=\"32245760\", alpha=\"0.10\", expect_size=\"16122880\"] \n  2 -> 17 [size =\"16122880\"]\n  2 -> 24 [size =\"16122880\"]\n  3 [size=\"93683712\", alpha=\"0.19\", expect_size=\"46841856\"] \n  3 -> 20 [size =\"46841856\"]\n  3 -> 21 [size =\"46841856\"]\n  3 -> 22 [size =\"46841856\"]\n  3 -> 24 [size =\"46841856\"]\n  3 -> 26 [size =\"46841856\"]\n  3 -> 27 [size =\"46841856\"]\n  3 -> 28 [size =\"46841856\"]\n  4 [size=\"79239168\", alpha=\"0.12\", expect_size=\"39619584\"] \n  4 -> 20 [size =\"39619584\"]\n  4 -> 23 [size =\"39619584\"]\n  4 -> 25 [size =\"39619584\"]\n  4 -> 26 [size =\"39619584\"]\n  4 -> 26 [size =\"39619584\"]\n  4 -> 27 [size =\"39619584\"]\n  4 -> 29 [size =\"39619584\"]\n  5 [size=\"38660096\", alpha=\"0.13\", expect_size=\"19330048\"] \n  5 -> 18 [size =\"19330048\"]\n  5 -> 20 [size =\"19330048\"]\n  5 -> 25 [size =\"19330048\"]\n  5 -> 27 [size =\"19330048\"]\n  5 -> 30 [size =\"19330048\"]\n  6 [size=\"49920000\", alpha=\"0.14\", expect_size=\"24960000\"] \n  6 -> 20 [size =\"24960000\"]\n  6 -> 20 [size =\"24960000\"]\n  6 -> 22 [size =\"24960000\"]\n  6 -> 26 [size =\"24960000\"]\n  6 -> 27 [size =\"24960000\"]\n  6 -> 28 [size =\"24960000\"]\n  6 -> 29 [size =\"24960000\"]\n  7 [size=\"54599680\", alpha=\"0.07\", expect_size=\"27299840\"] \n  7 -> 19 [size =\"27299840\"]\n  7 -> 30 [size =\"27299840\"]\n  8 [size=\"66342912\", alpha=\"0.04\", expect_size=\"33171456\"] \n  8 -> 17 [size =\"33171456\"]\n  8 -> 20 [size =\"33171456\"]\n  9 [size=\"98347008\", alpha=\"0.13\", expect_size=\"49173504\"] \n  9 -> 18 [size =\"49173504\"]\n  9 -> 22 [size =\"49173504\"]\n  9 -> 24 [size =\"49173504\"]\n  9 -> 28 [size =\"49173504\"]\n  9 -> 30 [size =\"49173504\"]\n  10 [size=\"72022016\", alpha=\"0.01\", expect_size=\"36011008\"] \n  10 -> 22 [size =\"36011008\"]\n  10 -> 24 [size =\"36011008\"]\n  10 -> 24 [size =\"36011008\"]\n  10 -> 28 [size =\"36011008\"]\n  11 [size=\"70537216\", alpha=\"0.07\", expect_size=\"35268608\"] \n  11 -> 26 [size =\"35268608\"]\n  11 -> 30 [size =\"35268608\"]\n  12 [size=\"26898432\", alpha=\"0.03\", expect_size=\"13449216\"] \n  12 -> 17 [size =\"13449216\"]\n  12 -> 26 [size =\"13449216\"]\n  12 -> 29 [size =\"13449216\"]\n  13 [size=\"73955328\", alpha=\"0.14\", expect_size=\"36977664\"] \n  13 -> 17 [size =\"36977664\"]\n  13 -> 22 [size =\"36977664\"]\n  13 -> 24 [size =\"36977664\"]\n  13 -> 26 [size =\"36977664\"]\n  14 [size=\"68616192\", alpha=\"0.10\", expect_size=\"34308096\"] \n  14 -> 20 [size =\"34308096\"]\n  14 -> 21 [size =\"34308096\"]\n  15 [size=\"28581888\", alpha=\"0.19\", expect_size=\"14290944\"] \n  15 -> 21 [size =\"14290944\"]\n  15 -> 22 [size =\"14290944\"]\n  15 -> 29 [size =\"14290944\"]\n  16 [size=\"89374720\", alpha=\"0.13\", expect_size=\"44687360\"] \n  16 -> 17 [size =\"44687360\"]\n  16 -> 20 [size =\"44687360\"]\n  16 -> 24 [size =\"44687360\"]\n  16 -> 25 [size =\"44687360\"]\n  16 -> 26 [size =\"44687360\"]\n  16 -> 28 [size =\"44687360\"]\n  17 [size=\"62982144\", alpha=\"0.16\", expect_size=\"31491072\"] \n  17 -> 31 [size =\"31491072\"]\n  17 -> 36 [size =\"31491072\"]\n  17 -> 39 [size =\"31491072\"]\n  18 [size=\"96915456\", alpha=\"0.11\", expect_size=\"48457728\"] \n  18 -> 31 [size =\"48457728\"]\n  18 -> 33 [size =\"48457728\"]\n  18 -> 35 [size =\"48457728\"]\n  18 -> 42 [size =\"48457728\"]\n  19 [size=\"21145600\", alpha=\"0.03\", expect_size=\"10572800\"] \n  19 -> 33 [size =\"10572800\"]\n  19 -> 38 [size =\"10572800\"]\n  19 -> 39 [size =\"10572800\"]\n  19 -> 41 [size =\"10572800\"]\n  19 -> 42 [size =\"10572800\"]\n  20 [size=\"83259392\", alpha=\"0.04\", expect_size=\"41629696\"] \n  20 -> 32 [size =\"41629696\"]\n  20 -> 34 [size =\"41629696\"]\n  20 -> 37 [size =\"41629696\"]\n  20 -> 41 [size =\"41629696\"]\n  21 [size=\"86444032\", alpha=\"0.12\", expect_size=\"43222016\"] \n  21 -> 32 [size =\"43222016\"]\n  21 -> 35 [size =\"43222016\"]\n  21 -> 39 [size =\"43222016\"]\n  21 -> 41 [size =\"43222016\"]\n  21 -> 43 [size =\"43222016\"]\n  22 [size=\"26732544\", alpha=\"0.06\", expect_size=\"13366272\"] \n  22 -> 34 [size =\"13366272\"]\n  22 -> 35 [size =\"13366272\"]\n  22 -> 36 [size =\"13366272\"]\n  22 -> 39 [size =\"13366272\"]\n  22 -> 41 [size =\"13366272\"]\n  23 [size=\"40138752\", alpha=\"0.16\", expect_size=\"20069376\"] \n  23 -> 31 [size =\"20069376\"]\n  23 -> 33 [size =\"20069376\"]\n  23 -> 34 [size =\"20069376\"]\n  23 -> 36 [size =\"20069376\"]\n  23 -> 39 [size =\"20069376\"]\n  23 -> 41 [size =\"20069376\"]\n  24 [size=\"12179456\", alpha=\"0.02\", expect_size=\"6089728\"] \n  24 -> 32 [size =\"6089728\"]\n  24 -> 35 [size =\"6089728\"]\n  24 -> 38 [size =\"6089728\"]\n  24 -> 43 [size =\"6089728\"]\n  25 [size=\"61530112\", alpha=\"0.13\", expect_size=\"30765056\"] \n  25 -> 33 [size =\"30765056\"]\n  25 -> 34 [size =\"30765056\"]\n  25 -> 35 [size =\"30765056\"]\n  25 -> 38 [size =\"30765056\"]\n  25 -> 40 [size =\"30765056\"]\n  25 -> 42 [size =\"30765056\"]\n  26 [size=\"57559040\", alpha=\"0.13\", expect_size=\"28779520\"] \n  26 -> 31 [size =\"28779520\"]\n  26 -> 33 [size =\"28779520\"]\n  26 -> 38 [size =\"28779520\"]\n  26 -> 41 [size =\"28779520\"]\n  26 -> 43 [size =\"28779520\"]\n  27 [size=\"22618112\", alpha=\"0.02\", expect_size=\"11309056\"] \n  27 -> 32 [size =\"11309056\"]\n  27 -> 34 [size =\"11309056\"]\n  27 -> 35 [size =\"11309056\"]\n  27 -> 42 [size =\"11309056\"]\n  27 -> 43 [size =\"11309056\"]\n  28 [size=\"96493568\", alpha=\"0.03\", expect_size=\"48246784\"] \n  28 -> 32 [size =\"48246784\"]\n  28 -> 35 [size =\"48246784\"]\n  28 -> 36 [size =\"48246784\"]\n  28 -> 37 [size =\"48246784\"]\n  28 -> 38 [size =\"48246784\"]\n  28 -> 39 [size =\"48246784\"]\n  29 [size=\"53927936\", alpha=\"0.02\", expect_size=\"26963968\"] \n  29 -> 34 [size =\"26963968\"]\n  29 -> 38 [size =\"26963968\"]\n  29 -> 39 [size =\"26963968\"]\n  30 [size=\"65734656\", alpha=\"0.15\", expect_size=\"32867328\"] \n  30 -> 32 [size =\"32867328\"]\n  30 -> 38 [size =\"32867328\"]\n  30 -> 42 [size =\"32867328\"]\n  30 -> 43 [size =\"32867328\"]\n  31 [size=\"84113408\", alpha=\"0.20\", expect_size=\"42056704\"] \n  31 -> 47 [size =\"42056704\"]\n  31 -> 49 [size =\"42056704\"]\n  32 [size=\"48379904\", alpha=\"0.09\", expect_size=\"24189952\"] \n  32 -> 44 [size =\"24189952\"]\n  32 -> 48 [size =\"24189952\"]\n  32 -> 49 [size =\"24189952\"]\n  33 [size=\"74665984\", alpha=\"0.11\", expect_size=\"37332992\"] \n  33 -> 45 [size =\"37332992\"]\n  34 [size=\"57425920\", alpha=\"0.05\", expect_size=\"28712960\"] \n  34 -> 45 [size =\"28712960\"]\n  35 [size=\"65417216\", alpha=\"0.04\", expect_size=\"32708608\"] \n  35 -> 44 [size =\"32708608\"]\n  35 -> 45 [size =\"32708608\"]\n  35 -> 48 [size =\"32708608\"]\n  36 [size=\"32444416\", alpha=\"0.19\", expect_size=\"16222208\"] \n  36 -> 45 [size =\"16222208\"]\n  37 [size=\"92309504\", alpha=\"0.05\", expect_size=\"46154752\"] \n  37 -> 45 [size =\"46154752\"]\n  37 -> 50 [size =\"46154752\"]\n  38 [size=\"100384768\", alpha=\"0.09\", expect_size=\"50192384\"] \n  38 -> 44 [size =\"50192384\"]\n  39 [size=\"18159616\", alpha=\"0.16\", expect_size=\"9079808\"] \n  39 -> 44 [size =\"9079808\"]\n  39 -> 46 [size =\"9079808\"]\n  40 [size=\"27867136\", alpha=\"0.18\", expect_size=\"13933568\"] \n  40 -> 47 [size =\"13933568\"]\n  40 -> 48 [size =\"13933568\"]\n  41 [size=\"96673792\", alpha=\"0.17\", expect_size=\"48336896\"] \n  42 [size=\"95885312\", alpha=\"0.18\", expect_size=\"47942656\"] \n  42 -> 47 [size =\"47942656\"]\n  43 [size=\"41920512\", alpha=\"0.06\", expect_size=\"20960256\"] \n  43 -> 44 [size =\"20960256\"]\n  43 -> 49 [size =\"20960256\"]\n  44 [size=\"92616704\", alpha=\"0.15\", expect_size=\"46308352\"] \n  45 [size=\"22992896\", alpha=\"0.14\", expect_size=\"11496448\"] \n  46 [size=\"39888896\", alpha=\"0.03\", expect_size=\"19944448\"] \n  47 [size=\"33447936\", alpha=\"0.15\", expect_size=\"16723968\"] \n  48 [size=\"56172544\", alpha=\"0.05\", expect_size=\"28086272\"] \n  49 [size=\"100118528\", alpha=\"0.04\", expect_size=\"50059264\"] \n  50 [size=\"81577984\", alpha=\"0.15\", expect_size=\"40788992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.756.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93911040\", alpha=\"0.05\", expect_size=\"28173312\"] \n  1 -> 34 [size =\"28173312\"]\n  1 -> 36 [size =\"28173312\"]\n  1 -> 37 [size =\"28173312\"]\n  1 -> 38 [size =\"28173312\"]\n  1 -> 42 [size =\"28173312\"]\n  1 -> 47 [size =\"28173312\"]\n  1 -> 50 [size =\"28173312\"]\n  2 [size=\"140380160\", alpha=\"0.17\", expect_size=\"42114048\"] \n  2 -> 37 [size =\"42114048\"]\n  2 -> 41 [size =\"42114048\"]\n  2 -> 49 [size =\"42114048\"]\n  2 -> 50 [size =\"42114048\"]\n  3 [size=\"157989547\", alpha=\"0.18\", expect_size=\"47396864\"] \n  3 -> 33 [size =\"47396864\"]\n  3 -> 35 [size =\"47396864\"]\n  3 -> 36 [size =\"47396864\"]\n  3 -> 37 [size =\"47396864\"]\n  3 -> 38 [size =\"47396864\"]\n  3 -> 40 [size =\"47396864\"]\n  3 -> 49 [size =\"47396864\"]\n  4 [size=\"158201173\", alpha=\"0.07\", expect_size=\"47460352\"] \n  4 -> 35 [size =\"47460352\"]\n  4 -> 36 [size =\"47460352\"]\n  4 -> 38 [size =\"47460352\"]\n  4 -> 46 [size =\"47460352\"]\n  4 -> 48 [size =\"47460352\"]\n  4 -> 49 [size =\"47460352\"]\n  4 -> 50 [size =\"47460352\"]\n  5 [size=\"145452373\", alpha=\"0.13\", expect_size=\"43635712\"] \n  5 -> 33 [size =\"43635712\"]\n  5 -> 35 [size =\"43635712\"]\n  5 -> 46 [size =\"43635712\"]\n  5 -> 46 [size =\"43635712\"]\n  5 -> 50 [size =\"43635712\"]\n  6 [size=\"171158187\", alpha=\"0.05\", expect_size=\"51347456\"] \n  6 -> 33 [size =\"51347456\"]\n  6 -> 35 [size =\"51347456\"]\n  6 -> 37 [size =\"51347456\"]\n  6 -> 38 [size =\"51347456\"]\n  6 -> 39 [size =\"51347456\"]\n  6 -> 42 [size =\"51347456\"]\n  6 -> 44 [size =\"51347456\"]\n  6 -> 46 [size =\"51347456\"]\n  6 -> 50 [size =\"51347456\"]\n  7 [size=\"69833387\", alpha=\"0.08\", expect_size=\"20950016\"] \n  7 -> 33 [size =\"20950016\"]\n  7 -> 34 [size =\"20950016\"]\n  7 -> 35 [size =\"20950016\"]\n  7 -> 36 [size =\"20950016\"]\n  7 -> 37 [size =\"20950016\"]\n  7 -> 38 [size =\"20950016\"]\n  7 -> 39 [size =\"20950016\"]\n  7 -> 40 [size =\"20950016\"]\n  7 -> 42 [size =\"20950016\"]\n  7 -> 50 [size =\"20950016\"]\n  8 [size=\"161375573\", alpha=\"0.01\", expect_size=\"48412672\"] \n  8 -> 33 [size =\"48412672\"]\n  8 -> 36 [size =\"48412672\"]\n  8 -> 37 [size =\"48412672\"]\n  8 -> 40 [size =\"48412672\"]\n  8 -> 48 [size =\"48412672\"]\n  8 -> 50 [size =\"48412672\"]\n  9 [size=\"50370560\", alpha=\"0.03\", expect_size=\"15111168\"] \n  9 -> 33 [size =\"15111168\"]\n  9 -> 35 [size =\"15111168\"]\n  9 -> 38 [size =\"15111168\"]\n  9 -> 39 [size =\"15111168\"]\n  9 -> 40 [size =\"15111168\"]\n  9 -> 44 [size =\"15111168\"]\n  9 -> 46 [size =\"15111168\"]\n  9 -> 48 [size =\"15111168\"]\n  9 -> 49 [size =\"15111168\"]\n  10 [size=\"132567040\", alpha=\"0.12\", expect_size=\"39770112\"] \n  10 -> 33 [size =\"39770112\"]\n  10 -> 39 [size =\"39770112\"]\n  10 -> 40 [size =\"39770112\"]\n  10 -> 45 [size =\"39770112\"]\n  10 -> 46 [size =\"39770112\"]\n  10 -> 47 [size =\"39770112\"]\n  10 -> 48 [size =\"39770112\"]\n  10 -> 50 [size =\"39770112\"]\n  11 [size=\"26388480\", alpha=\"0.14\", expect_size=\"7916544\"] \n  11 -> 34 [size =\"7916544\"]\n  11 -> 36 [size =\"7916544\"]\n  11 -> 39 [size =\"7916544\"]\n  11 -> 40 [size =\"7916544\"]\n  11 -> 43 [size =\"7916544\"]\n  11 -> 47 [size =\"7916544\"]\n  11 -> 50 [size =\"7916544\"]\n  12 [size=\"62737067\", alpha=\"0.19\", expect_size=\"18821120\"] \n  12 -> 35 [size =\"18821120\"]\n  12 -> 36 [size =\"18821120\"]\n  12 -> 37 [size =\"18821120\"]\n  12 -> 39 [size =\"18821120\"]\n  12 -> 43 [size =\"18821120\"]\n  12 -> 46 [size =\"18821120\"]\n  12 -> 50 [size =\"18821120\"]\n  13 [size=\"35645440\", alpha=\"0.13\", expect_size=\"10693632\"] \n  13 -> 35 [size =\"10693632\"]\n  13 -> 37 [size =\"10693632\"]\n  13 -> 39 [size =\"10693632\"]\n  14 [size=\"21302613\", alpha=\"0.08\", expect_size=\"6390784\"] \n  14 -> 35 [size =\"6390784\"]\n  14 -> 36 [size =\"6390784\"]\n  14 -> 37 [size =\"6390784\"]\n  14 -> 38 [size =\"6390784\"]\n  14 -> 40 [size =\"6390784\"]\n  14 -> 47 [size =\"6390784\"]\n  14 -> 50 [size =\"6390784\"]\n  15 [size=\"75048960\", alpha=\"0.08\", expect_size=\"22514688\"] \n  15 -> 33 [size =\"22514688\"]\n  15 -> 37 [size =\"22514688\"]\n  15 -> 39 [size =\"22514688\"]\n  15 -> 49 [size =\"22514688\"]\n  16 [size=\"23606613\", alpha=\"0.09\", expect_size=\"7081984\"] \n  16 -> 33 [size =\"7081984\"]\n  16 -> 36 [size =\"7081984\"]\n  16 -> 37 [size =\"7081984\"]\n  16 -> 38 [size =\"7081984\"]\n  16 -> 39 [size =\"7081984\"]\n  16 -> 40 [size =\"7081984\"]\n  16 -> 46 [size =\"7081984\"]\n  17 [size=\"63634773\", alpha=\"0.06\", expect_size=\"19090432\"] \n  17 -> 33 [size =\"19090432\"]\n  17 -> 39 [size =\"19090432\"]\n  17 -> 42 [size =\"19090432\"]\n  17 -> 44 [size =\"19090432\"]\n  17 -> 48 [size =\"19090432\"]\n  17 -> 49 [size =\"19090432\"]\n  18 [size=\"124685653\", alpha=\"0.12\", expect_size=\"37405696\"] \n  18 -> 37 [size =\"37405696\"]\n  18 -> 38 [size =\"37405696\"]\n  18 -> 39 [size =\"37405696\"]\n  18 -> 42 [size =\"37405696\"]\n  18 -> 46 [size =\"37405696\"]\n  18 -> 50 [size =\"37405696\"]\n  19 [size=\"135383040\", alpha=\"0.14\", expect_size=\"40614912\"] \n  19 -> 33 [size =\"40614912\"]\n  19 -> 36 [size =\"40614912\"]\n  19 -> 37 [size =\"40614912\"]\n  19 -> 42 [size =\"40614912\"]\n  19 -> 46 [size =\"40614912\"]\n  19 -> 49 [size =\"40614912\"]\n  19 -> 50 [size =\"40614912\"]\n  20 [size=\"156842667\", alpha=\"0.13\", expect_size=\"47052800\"] \n  20 -> 35 [size =\"47052800\"]\n  20 -> 36 [size =\"47052800\"]\n  20 -> 37 [size =\"47052800\"]\n  20 -> 39 [size =\"47052800\"]\n  20 -> 41 [size =\"47052800\"]\n  20 -> 42 [size =\"47052800\"]\n  20 -> 46 [size =\"47052800\"]\n  20 -> 47 [size =\"47052800\"]\n  20 -> 48 [size =\"47052800\"]\n  20 -> 49 [size =\"47052800\"]\n  20 -> 50 [size =\"47052800\"]\n  21 [size=\"90395307\", alpha=\"0.01\", expect_size=\"27118592\"] \n  21 -> 36 [size =\"27118592\"]\n  21 -> 40 [size =\"27118592\"]\n  21 -> 41 [size =\"27118592\"]\n  21 -> 46 [size =\"27118592\"]\n  21 -> 47 [size =\"27118592\"]\n  21 -> 50 [size =\"27118592\"]\n  22 [size=\"44148053\", alpha=\"0.04\", expect_size=\"13244416\"] \n  22 -> 38 [size =\"13244416\"]\n  22 -> 39 [size =\"13244416\"]\n  22 -> 40 [size =\"13244416\"]\n  23 [size=\"39471787\", alpha=\"0.06\", expect_size=\"11841536\"] \n  23 -> 33 [size =\"11841536\"]\n  23 -> 35 [size =\"11841536\"]\n  23 -> 39 [size =\"11841536\"]\n  23 -> 40 [size =\"11841536\"]\n  23 -> 43 [size =\"11841536\"]\n  23 -> 46 [size =\"11841536\"]\n  24 [size=\"140752213\", alpha=\"0.05\", expect_size=\"42225664\"] \n  24 -> 32 [size =\"42225664\"]\n  24 -> 33 [size =\"42225664\"]\n  24 -> 35 [size =\"42225664\"]\n  24 -> 39 [size =\"42225664\"]\n  24 -> 41 [size =\"42225664\"]\n  24 -> 45 [size =\"42225664\"]\n  25 [size=\"45875200\", alpha=\"0.01\", expect_size=\"13762560\"] \n  25 -> 34 [size =\"13762560\"]\n  25 -> 36 [size =\"13762560\"]\n  25 -> 44 [size =\"13762560\"]\n  25 -> 50 [size =\"13762560\"]\n  26 [size=\"108813653\", alpha=\"0.16\", expect_size=\"32644096\"] \n  26 -> 36 [size =\"32644096\"]\n  26 -> 37 [size =\"32644096\"]\n  26 -> 39 [size =\"32644096\"]\n  26 -> 42 [size =\"32644096\"]\n  26 -> 44 [size =\"32644096\"]\n  26 -> 50 [size =\"32644096\"]\n  27 [size=\"20882773\", alpha=\"0.18\", expect_size=\"6264832\"] \n  27 -> 35 [size =\"6264832\"]\n  27 -> 36 [size =\"6264832\"]\n  27 -> 38 [size =\"6264832\"]\n  27 -> 39 [size =\"6264832\"]\n  27 -> 50 [size =\"6264832\"]\n  28 [size=\"65280000\", alpha=\"0.18\", expect_size=\"19584000\"] \n  28 -> 33 [size =\"19584000\"]\n  28 -> 34 [size =\"19584000\"]\n  28 -> 35 [size =\"19584000\"]\n  28 -> 36 [size =\"19584000\"]\n  28 -> 40 [size =\"19584000\"]\n  28 -> 44 [size =\"19584000\"]\n  28 -> 47 [size =\"19584000\"]\n  28 -> 49 [size =\"19584000\"]\n  29 [size=\"162228907\", alpha=\"0.02\", expect_size=\"48668672\"] \n  29 -> 36 [size =\"48668672\"]\n  29 -> 40 [size =\"48668672\"]\n  29 -> 45 [size =\"48668672\"]\n  29 -> 46 [size =\"48668672\"]\n  29 -> 49 [size =\"48668672\"]\n  30 [size=\"118708907\", alpha=\"0.01\", expect_size=\"35612672\"] \n  30 -> 35 [size =\"35612672\"]\n  30 -> 37 [size =\"35612672\"]\n  30 -> 39 [size =\"35612672\"]\n  30 -> 46 [size =\"35612672\"]\n  30 -> 48 [size =\"35612672\"]\n  30 -> 50 [size =\"35612672\"]\n  31 [size=\"61545813\", alpha=\"0.01\", expect_size=\"18463744\"] \n  31 -> 37 [size =\"18463744\"]\n  31 -> 38 [size =\"18463744\"]\n  31 -> 39 [size =\"18463744\"]\n  31 -> 40 [size =\"18463744\"]\n  31 -> 41 [size =\"18463744\"]\n  31 -> 48 [size =\"18463744\"]\n  31 -> 49 [size =\"18463744\"]\n  32 [size=\"67170987\", alpha=\"0.07\", expect_size=\"20151296\"] \n  33 [size=\"101208747\", alpha=\"0.15\", expect_size=\"30362624\"] \n  34 [size=\"146885973\", alpha=\"0.04\", expect_size=\"44065792\"] \n  35 [size=\"30361600\", alpha=\"0.00\", expect_size=\"9108480\"] \n  36 [size=\"36901547\", alpha=\"0.17\", expect_size=\"11070464\"] \n  37 [size=\"162897920\", alpha=\"0.19\", expect_size=\"48869376\"] \n  38 [size=\"146138453\", alpha=\"0.16\", expect_size=\"43841536\"] \n  39 [size=\"130525867\", alpha=\"0.07\", expect_size=\"39157760\"] \n  40 [size=\"148954453\", alpha=\"0.16\", expect_size=\"44686336\"] \n  41 [size=\"159228587\", alpha=\"0.14\", expect_size=\"47768576\"] \n  42 [size=\"170267307\", alpha=\"0.16\", expect_size=\"51080192\"] \n  43 [size=\"70041600\", alpha=\"0.00\", expect_size=\"21012480\"] \n  44 [size=\"34013867\", alpha=\"0.00\", expect_size=\"10204160\"] \n  45 [size=\"66013867\", alpha=\"0.04\", expect_size=\"19804160\"] \n  46 [size=\"66327893\", alpha=\"0.19\", expect_size=\"19898368\"] \n  47 [size=\"41089707\", alpha=\"0.15\", expect_size=\"12326912\"] \n  48 [size=\"36461227\", alpha=\"0.17\", expect_size=\"10938368\"] \n  49 [size=\"159648427\", alpha=\"0.17\", expect_size=\"47894528\"] \n  50 [size=\"56705707\", alpha=\"0.10\", expect_size=\"17011712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.757.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29221547\", alpha=\"0.00\", expect_size=\"8766464\"] \n  1 -> 2 [size =\"8766464\"]\n  2 [size=\"77404160\", alpha=\"0.17\", expect_size=\"23221248\"] \n  2 -> 3 [size =\"23221248\"]\n  3 [size=\"84019200\", alpha=\"0.17\", expect_size=\"25205760\"] \n  3 -> 4 [size =\"25205760\"]\n  4 [size=\"58910720\", alpha=\"0.00\", expect_size=\"17673216\"] \n  4 -> 5 [size =\"17673216\"]\n  5 [size=\"59279360\", alpha=\"0.16\", expect_size=\"17783808\"] \n  5 -> 6 [size =\"17783808\"]\n  6 [size=\"102693547\", alpha=\"0.06\", expect_size=\"30808064\"] \n  6 -> 7 [size =\"30808064\"]\n  7 [size=\"144909653\", alpha=\"0.16\", expect_size=\"43472896\"] \n  7 -> 8 [size =\"43472896\"]\n  8 [size=\"84930560\", alpha=\"0.00\", expect_size=\"25479168\"] \n  8 -> 9 [size =\"25479168\"]\n  9 [size=\"35058347\", alpha=\"0.01\", expect_size=\"10517504\"] \n  9 -> 10 [size =\"10517504\"]\n  10 [size=\"131952640\", alpha=\"0.02\", expect_size=\"39585792\"] \n  10 -> 11 [size =\"39585792\"]\n  11 [size=\"140738560\", alpha=\"0.13\", expect_size=\"42221568\"] \n  11 -> 12 [size =\"42221568\"]\n  12 [size=\"143994880\", alpha=\"0.17\", expect_size=\"43198464\"] \n  12 -> 13 [size =\"43198464\"]\n  13 [size=\"117548373\", alpha=\"0.14\", expect_size=\"35264512\"] \n  13 -> 14 [size =\"35264512\"]\n  14 [size=\"94109013\", alpha=\"0.18\", expect_size=\"28232704\"] \n  14 -> 15 [size =\"28232704\"]\n  15 [size=\"97447253\", alpha=\"0.04\", expect_size=\"29234176\"] \n  15 -> 16 [size =\"29234176\"]\n  16 [size=\"63962453\", alpha=\"0.02\", expect_size=\"19188736\"] \n  16 -> 17 [size =\"19188736\"]\n  17 [size=\"108178773\", alpha=\"0.10\", expect_size=\"32453632\"] \n  17 -> 18 [size =\"32453632\"]\n  18 [size=\"74417493\", alpha=\"0.19\", expect_size=\"22325248\"] \n  18 -> 19 [size =\"22325248\"]\n  19 [size=\"76769280\", alpha=\"0.07\", expect_size=\"23030784\"] \n  19 -> 20 [size =\"23030784\"]\n  20 [size=\"84541440\", alpha=\"0.04\", expect_size=\"25362432\"] \n  20 -> 21 [size =\"25362432\"]\n  21 [size=\"100075520\", alpha=\"0.03\", expect_size=\"30022656\"] \n  21 -> 22 [size =\"30022656\"]\n  22 [size=\"42912427\", alpha=\"0.10\", expect_size=\"12873728\"] \n  22 -> 23 [size =\"12873728\"]\n  23 [size=\"18404693\", alpha=\"0.04\", expect_size=\"5521408\"] \n  23 -> 24 [size =\"5521408\"]\n  24 [size=\"127767893\", alpha=\"0.05\", expect_size=\"38330368\"] \n  24 -> 25 [size =\"38330368\"]\n  25 [size=\"115701760\", alpha=\"0.10\", expect_size=\"34710528\"] \n  25 -> 26 [size =\"34710528\"]\n  26 [size=\"144384000\", alpha=\"0.06\", expect_size=\"43315200\"] \n  26 -> 27 [size =\"43315200\"]\n  27 [size=\"156245333\", alpha=\"0.19\", expect_size=\"46873600\"] \n  27 -> 28 [size =\"46873600\"]\n  28 [size=\"81510400\", alpha=\"0.00\", expect_size=\"24453120\"] \n  28 -> 29 [size =\"24453120\"]\n  29 [size=\"75847680\", alpha=\"0.04\", expect_size=\"22754304\"] \n  29 -> 30 [size =\"22754304\"]\n  30 [size=\"130095787\", alpha=\"0.01\", expect_size=\"39028736\"] \n  30 -> 31 [size =\"39028736\"]\n  31 [size=\"163454293\", alpha=\"0.15\", expect_size=\"49036288\"] \n  31 -> 32 [size =\"49036288\"]\n  32 [size=\"30382080\", alpha=\"0.05\", expect_size=\"9114624\"] \n  32 -> 33 [size =\"9114624\"]\n  33 [size=\"105383253\", alpha=\"0.07\", expect_size=\"31614976\"] \n  33 -> 34 [size =\"31614976\"]\n  34 [size=\"140427947\", alpha=\"0.19\", expect_size=\"42128384\"] \n  34 -> 35 [size =\"42128384\"]\n  35 [size=\"19664213\", alpha=\"0.02\", expect_size=\"5899264\"] \n  35 -> 36 [size =\"5899264\"]\n  36 [size=\"99474773\", alpha=\"0.10\", expect_size=\"29842432\"] \n  36 -> 37 [size =\"29842432\"]\n  37 [size=\"150500693\", alpha=\"0.10\", expect_size=\"45150208\"] \n  37 -> 38 [size =\"45150208\"]\n  38 [size=\"142892373\", alpha=\"0.17\", expect_size=\"42867712\"] \n  38 -> 39 [size =\"42867712\"]\n  39 [size=\"144114347\", alpha=\"0.11\", expect_size=\"43234304\"] \n  39 -> 40 [size =\"43234304\"]\n  40 [size=\"171741867\", alpha=\"0.14\", expect_size=\"51522560\"] \n  40 -> 41 [size =\"51522560\"]\n  41 [size=\"25681920\", alpha=\"0.08\", expect_size=\"7704576\"] \n  41 -> 42 [size =\"7704576\"]\n  42 [size=\"143776427\", alpha=\"0.05\", expect_size=\"43132928\"] \n  42 -> 43 [size =\"43132928\"]\n  43 [size=\"23394987\", alpha=\"0.01\", expect_size=\"7018496\"] \n  43 -> 44 [size =\"7018496\"]\n  44 [size=\"79185920\", alpha=\"0.12\", expect_size=\"23755776\"] \n  44 -> 45 [size =\"23755776\"]\n  45 [size=\"73209173\", alpha=\"0.16\", expect_size=\"21962752\"] \n  45 -> 46 [size =\"21962752\"]\n  46 [size=\"85435733\", alpha=\"0.15\", expect_size=\"25630720\"] \n  46 -> 47 [size =\"25630720\"]\n  47 [size=\"162358613\", alpha=\"0.13\", expect_size=\"48707584\"] \n  47 -> 48 [size =\"48707584\"]\n  48 [size=\"80107520\", alpha=\"0.18\", expect_size=\"24032256\"] \n  48 -> 49 [size =\"24032256\"]\n  49 [size=\"52910080\", alpha=\"0.11\", expect_size=\"15873024\"] \n  49 -> 50 [size =\"15873024\"]\n  50 [size=\"140062720\", alpha=\"0.18\", expect_size=\"42018816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.758.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54175744\", alpha=\"0.04\", expect_size=\"27087872\"] \n  1 -> 15 [size =\"27087872\"]\n  1 -> 17 [size =\"27087872\"]\n  1 -> 22 [size =\"27087872\"]\n  1 -> 24 [size =\"27087872\"]\n  1 -> 25 [size =\"27087872\"]\n  1 -> 26 [size =\"27087872\"]\n  1 -> 27 [size =\"27087872\"]\n  2 [size=\"10766336\", alpha=\"0.00\", expect_size=\"5383168\"] \n  2 -> 17 [size =\"5383168\"]\n  2 -> 18 [size =\"5383168\"]\n  2 -> 21 [size =\"5383168\"]\n  2 -> 26 [size =\"5383168\"]\n  3 [size=\"99303424\", alpha=\"0.17\", expect_size=\"49651712\"] \n  3 -> 17 [size =\"49651712\"]\n  3 -> 18 [size =\"49651712\"]\n  3 -> 20 [size =\"49651712\"]\n  3 -> 21 [size =\"49651712\"]\n  3 -> 24 [size =\"49651712\"]\n  4 [size=\"61687808\", alpha=\"0.17\", expect_size=\"30843904\"] \n  4 -> 15 [size =\"30843904\"]\n  4 -> 17 [size =\"30843904\"]\n  4 -> 18 [size =\"30843904\"]\n  4 -> 21 [size =\"30843904\"]\n  4 -> 24 [size =\"30843904\"]\n  5 [size=\"47513600\", alpha=\"0.06\", expect_size=\"23756800\"] \n  5 -> 16 [size =\"23756800\"]\n  5 -> 17 [size =\"23756800\"]\n  5 -> 18 [size =\"23756800\"]\n  5 -> 19 [size =\"23756800\"]\n  5 -> 21 [size =\"23756800\"]\n  5 -> 27 [size =\"23756800\"]\n  5 -> 28 [size =\"23756800\"]\n  6 [size=\"94861312\", alpha=\"0.11\", expect_size=\"47430656\"] \n  6 -> 15 [size =\"47430656\"]\n  6 -> 17 [size =\"47430656\"]\n  6 -> 21 [size =\"47430656\"]\n  6 -> 24 [size =\"47430656\"]\n  6 -> 28 [size =\"47430656\"]\n  7 [size=\"28487680\", alpha=\"0.15\", expect_size=\"14243840\"] \n  7 -> 15 [size =\"14243840\"]\n  7 -> 16 [size =\"14243840\"]\n  7 -> 17 [size =\"14243840\"]\n  7 -> 23 [size =\"14243840\"]\n  7 -> 25 [size =\"14243840\"]\n  7 -> 26 [size =\"14243840\"]\n  7 -> 28 [size =\"14243840\"]\n  8 [size=\"102561792\", alpha=\"0.08\", expect_size=\"51280896\"] \n  8 -> 15 [size =\"51280896\"]\n  8 -> 16 [size =\"51280896\"]\n  8 -> 18 [size =\"51280896\"]\n  8 -> 23 [size =\"51280896\"]\n  8 -> 25 [size =\"51280896\"]\n  8 -> 27 [size =\"51280896\"]\n  8 -> 28 [size =\"51280896\"]\n  9 [size=\"57284608\", alpha=\"0.17\", expect_size=\"28642304\"] \n  9 -> 18 [size =\"28642304\"]\n  9 -> 25 [size =\"28642304\"]\n  9 -> 27 [size =\"28642304\"]\n  9 -> 28 [size =\"28642304\"]\n  10 [size=\"92514304\", alpha=\"0.01\", expect_size=\"46257152\"] \n  10 -> 15 [size =\"46257152\"]\n  10 -> 18 [size =\"46257152\"]\n  10 -> 21 [size =\"46257152\"]\n  10 -> 24 [size =\"46257152\"]\n  10 -> 25 [size =\"46257152\"]\n  10 -> 26 [size =\"46257152\"]\n  10 -> 27 [size =\"46257152\"]\n  10 -> 28 [size =\"46257152\"]\n  11 [size=\"36583424\", alpha=\"0.04\", expect_size=\"18291712\"] \n  11 -> 17 [size =\"18291712\"]\n  11 -> 21 [size =\"18291712\"]\n  11 -> 23 [size =\"18291712\"]\n  11 -> 25 [size =\"18291712\"]\n  11 -> 26 [size =\"18291712\"]\n  11 -> 28 [size =\"18291712\"]\n  12 [size=\"56082432\", alpha=\"0.17\", expect_size=\"28041216\"] \n  12 -> 16 [size =\"28041216\"]\n  12 -> 23 [size =\"28041216\"]\n  12 -> 24 [size =\"28041216\"]\n  12 -> 25 [size =\"28041216\"]\n  12 -> 26 [size =\"28041216\"]\n  13 [size=\"57044992\", alpha=\"0.17\", expect_size=\"28522496\"] \n  13 -> 15 [size =\"28522496\"]\n  13 -> 17 [size =\"28522496\"]\n  13 -> 18 [size =\"28522496\"]\n  13 -> 21 [size =\"28522496\"]\n  13 -> 24 [size =\"28522496\"]\n  13 -> 25 [size =\"28522496\"]\n  13 -> 26 [size =\"28522496\"]\n  14 [size=\"43413504\", alpha=\"0.13\", expect_size=\"21706752\"] \n  14 -> 15 [size =\"21706752\"]\n  14 -> 17 [size =\"21706752\"]\n  14 -> 21 [size =\"21706752\"]\n  14 -> 24 [size =\"21706752\"]\n  14 -> 25 [size =\"21706752\"]\n  14 -> 26 [size =\"21706752\"]\n  14 -> 26 [size =\"21706752\"]\n  14 -> 28 [size =\"21706752\"]\n  15 [size=\"28196864\", alpha=\"0.13\", expect_size=\"14098432\"] \n  15 -> 29 [size =\"14098432\"]\n  15 -> 34 [size =\"14098432\"]\n  15 -> 37 [size =\"14098432\"]\n  15 -> 41 [size =\"14098432\"]\n  16 [size=\"57446400\", alpha=\"0.06\", expect_size=\"28723200\"] \n  16 -> 29 [size =\"28723200\"]\n  16 -> 31 [size =\"28723200\"]\n  16 -> 32 [size =\"28723200\"]\n  16 -> 36 [size =\"28723200\"]\n  16 -> 37 [size =\"28723200\"]\n  16 -> 41 [size =\"28723200\"]\n  17 [size=\"15319040\", alpha=\"0.13\", expect_size=\"7659520\"] \n  17 -> 29 [size =\"7659520\"]\n  17 -> 32 [size =\"7659520\"]\n  17 -> 34 [size =\"7659520\"]\n  17 -> 36 [size =\"7659520\"]\n  17 -> 37 [size =\"7659520\"]\n  17 -> 38 [size =\"7659520\"]\n  17 -> 39 [size =\"7659520\"]\n  17 -> 40 [size =\"7659520\"]\n  17 -> 41 [size =\"7659520\"]\n  18 [size=\"85780480\", alpha=\"0.14\", expect_size=\"42890240\"] \n  18 -> 29 [size =\"42890240\"]\n  18 -> 30 [size =\"42890240\"]\n  18 -> 32 [size =\"42890240\"]\n  18 -> 36 [size =\"42890240\"]\n  18 -> 37 [size =\"42890240\"]\n  18 -> 38 [size =\"42890240\"]\n  18 -> 41 [size =\"42890240\"]\n  19 [size=\"27402240\", alpha=\"0.13\", expect_size=\"13701120\"] \n  19 -> 29 [size =\"13701120\"]\n  19 -> 31 [size =\"13701120\"]\n  19 -> 32 [size =\"13701120\"]\n  19 -> 33 [size =\"13701120\"]\n  20 [size=\"14911488\", alpha=\"0.02\", expect_size=\"7455744\"] \n  20 -> 33 [size =\"7455744\"]\n  20 -> 38 [size =\"7455744\"]\n  20 -> 41 [size =\"7455744\"]\n  21 [size=\"20688896\", alpha=\"0.00\", expect_size=\"10344448\"] \n  21 -> 29 [size =\"10344448\"]\n  21 -> 31 [size =\"10344448\"]\n  21 -> 32 [size =\"10344448\"]\n  21 -> 35 [size =\"10344448\"]\n  21 -> 36 [size =\"10344448\"]\n  21 -> 39 [size =\"10344448\"]\n  21 -> 42 [size =\"10344448\"]\n  22 [size=\"41658368\", alpha=\"0.18\", expect_size=\"20829184\"] \n  22 -> 31 [size =\"20829184\"]\n  22 -> 32 [size =\"20829184\"]\n  22 -> 32 [size =\"20829184\"]\n  22 -> 35 [size =\"20829184\"]\n  22 -> 36 [size =\"20829184\"]\n  22 -> 37 [size =\"20829184\"]\n  22 -> 39 [size =\"20829184\"]\n  22 -> 41 [size =\"20829184\"]\n  23 [size=\"25884672\", alpha=\"0.15\", expect_size=\"12942336\"] \n  23 -> 29 [size =\"12942336\"]\n  23 -> 37 [size =\"12942336\"]\n  23 -> 39 [size =\"12942336\"]\n  24 [size=\"13553664\", alpha=\"0.03\", expect_size=\"6776832\"] \n  24 -> 29 [size =\"6776832\"]\n  24 -> 31 [size =\"6776832\"]\n  24 -> 32 [size =\"6776832\"]\n  24 -> 35 [size =\"6776832\"]\n  24 -> 37 [size =\"6776832\"]\n  24 -> 39 [size =\"6776832\"]\n  24 -> 40 [size =\"6776832\"]\n  24 -> 41 [size =\"6776832\"]\n  25 [size=\"74164224\", alpha=\"0.19\", expect_size=\"37082112\"] \n  25 -> 29 [size =\"37082112\"]\n  25 -> 31 [size =\"37082112\"]\n  25 -> 35 [size =\"37082112\"]\n  25 -> 36 [size =\"37082112\"]\n  25 -> 37 [size =\"37082112\"]\n  25 -> 41 [size =\"37082112\"]\n  26 [size=\"42790912\", alpha=\"0.12\", expect_size=\"21395456\"] \n  26 -> 29 [size =\"21395456\"]\n  26 -> 30 [size =\"21395456\"]\n  26 -> 31 [size =\"21395456\"]\n  26 -> 32 [size =\"21395456\"]\n  26 -> 35 [size =\"21395456\"]\n  26 -> 38 [size =\"21395456\"]\n  26 -> 40 [size =\"21395456\"]\n  26 -> 41 [size =\"21395456\"]\n  26 -> 42 [size =\"21395456\"]\n  27 [size=\"69128192\", alpha=\"0.10\", expect_size=\"34564096\"] \n  27 -> 30 [size =\"34564096\"]\n  27 -> 31 [size =\"34564096\"]\n  27 -> 31 [size =\"34564096\"]\n  27 -> 34 [size =\"34564096\"]\n  27 -> 35 [size =\"34564096\"]\n  27 -> 36 [size =\"34564096\"]\n  27 -> 38 [size =\"34564096\"]\n  27 -> 40 [size =\"34564096\"]\n  28 [size=\"37545984\", alpha=\"0.07\", expect_size=\"18772992\"] \n  28 -> 31 [size =\"18772992\"]\n  28 -> 34 [size =\"18772992\"]\n  28 -> 36 [size =\"18772992\"]\n  28 -> 37 [size =\"18772992\"]\n  28 -> 41 [size =\"18772992\"]\n  29 [size=\"103393280\", alpha=\"0.13\", expect_size=\"51696640\"] \n  29 -> 44 [size =\"51696640\"]\n  29 -> 46 [size =\"51696640\"]\n  29 -> 47 [size =\"51696640\"]\n  29 -> 48 [size =\"51696640\"]\n  30 [size=\"71854080\", alpha=\"0.18\", expect_size=\"35927040\"] \n  30 -> 43 [size =\"35927040\"]\n  30 -> 44 [size =\"35927040\"]\n  30 -> 46 [size =\"35927040\"]\n  30 -> 47 [size =\"35927040\"]\n  30 -> 48 [size =\"35927040\"]\n  31 [size=\"81991680\", alpha=\"0.07\", expect_size=\"40995840\"] \n  31 -> 43 [size =\"40995840\"]\n  31 -> 44 [size =\"40995840\"]\n  31 -> 46 [size =\"40995840\"]\n  31 -> 50 [size =\"40995840\"]\n  32 [size=\"83126272\", alpha=\"0.07\", expect_size=\"41563136\"] \n  32 -> 43 [size =\"41563136\"]\n  32 -> 46 [size =\"41563136\"]\n  33 [size=\"75538432\", alpha=\"0.16\", expect_size=\"37769216\"] \n  33 -> 43 [size =\"37769216\"]\n  33 -> 46 [size =\"37769216\"]\n  33 -> 47 [size =\"37769216\"]\n  33 -> 48 [size =\"37769216\"]\n  34 [size=\"53673984\", alpha=\"0.12\", expect_size=\"26836992\"] \n  35 [size=\"68737024\", alpha=\"0.12\", expect_size=\"34368512\"] \n  35 -> 43 [size =\"34368512\"]\n  35 -> 44 [size =\"34368512\"]\n  35 -> 45 [size =\"34368512\"]\n  35 -> 47 [size =\"34368512\"]\n  35 -> 49 [size =\"34368512\"]\n  36 [size=\"63385600\", alpha=\"0.02\", expect_size=\"31692800\"] \n  36 -> 43 [size =\"31692800\"]\n  37 [size=\"27623424\", alpha=\"0.13\", expect_size=\"13811712\"] \n  37 -> 43 [size =\"13811712\"]\n  37 -> 47 [size =\"13811712\"]\n  37 -> 49 [size =\"13811712\"]\n  38 [size=\"73826304\", alpha=\"0.00\", expect_size=\"36913152\"] \n  38 -> 43 [size =\"36913152\"]\n  38 -> 47 [size =\"36913152\"]\n  38 -> 49 [size =\"36913152\"]\n  38 -> 50 [size =\"36913152\"]\n  39 [size=\"10956800\", alpha=\"0.11\", expect_size=\"5478400\"] \n  39 -> 43 [size =\"5478400\"]\n  39 -> 47 [size =\"5478400\"]\n  39 -> 48 [size =\"5478400\"]\n  39 -> 49 [size =\"5478400\"]\n  40 [size=\"74555392\", alpha=\"0.02\", expect_size=\"37277696\"] \n  40 -> 44 [size =\"37277696\"]\n  40 -> 46 [size =\"37277696\"]\n  40 -> 47 [size =\"37277696\"]\n  40 -> 48 [size =\"37277696\"]\n  40 -> 49 [size =\"37277696\"]\n  41 [size=\"63541248\", alpha=\"0.16\", expect_size=\"31770624\"] \n  41 -> 44 [size =\"31770624\"]\n  41 -> 46 [size =\"31770624\"]\n  41 -> 48 [size =\"31770624\"]\n  41 -> 50 [size =\"31770624\"]\n  42 [size=\"98383872\", alpha=\"0.16\", expect_size=\"49191936\"] \n  42 -> 43 [size =\"49191936\"]\n  42 -> 46 [size =\"49191936\"]\n  42 -> 48 [size =\"49191936\"]\n  42 -> 49 [size =\"49191936\"]\n  43 [size=\"35936256\", alpha=\"0.19\", expect_size=\"17968128\"] \n  44 [size=\"17129472\", alpha=\"0.03\", expect_size=\"8564736\"] \n  45 [size=\"74897408\", alpha=\"0.01\", expect_size=\"37448704\"] \n  46 [size=\"38205440\", alpha=\"0.05\", expect_size=\"19102720\"] \n  47 [size=\"48388096\", alpha=\"0.02\", expect_size=\"24194048\"] \n  48 [size=\"15906816\", alpha=\"0.05\", expect_size=\"7953408\"] \n  49 [size=\"16060416\", alpha=\"0.07\", expect_size=\"8030208\"] \n  50 [size=\"65763328\", alpha=\"0.03\", expect_size=\"32881664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.759.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48501760\", alpha=\"0.17\", expect_size=\"19400704\"] \n  1 -> 30 [size =\"19400704\"]\n  1 -> 31 [size =\"19400704\"]\n  1 -> 32 [size =\"19400704\"]\n  1 -> 39 [size =\"19400704\"]\n  1 -> 40 [size =\"19400704\"]\n  1 -> 42 [size =\"19400704\"]\n  1 -> 43 [size =\"19400704\"]\n  1 -> 47 [size =\"19400704\"]\n  1 -> 47 [size =\"19400704\"]\n  2 [size=\"84367360\", alpha=\"0.02\", expect_size=\"33746944\"] \n  2 -> 28 [size =\"33746944\"]\n  2 -> 29 [size =\"33746944\"]\n  2 -> 33 [size =\"33746944\"]\n  2 -> 34 [size =\"33746944\"]\n  2 -> 35 [size =\"33746944\"]\n  2 -> 38 [size =\"33746944\"]\n  2 -> 40 [size =\"33746944\"]\n  2 -> 41 [size =\"33746944\"]\n  2 -> 42 [size =\"33746944\"]\n  2 -> 47 [size =\"33746944\"]\n  3 [size=\"39475200\", alpha=\"0.09\", expect_size=\"15790080\"] \n  3 -> 27 [size =\"15790080\"]\n  3 -> 33 [size =\"15790080\"]\n  3 -> 33 [size =\"15790080\"]\n  3 -> 34 [size =\"15790080\"]\n  3 -> 42 [size =\"15790080\"]\n  3 -> 47 [size =\"15790080\"]\n  4 [size=\"114874880\", alpha=\"0.03\", expect_size=\"45949952\"] \n  4 -> 27 [size =\"45949952\"]\n  4 -> 28 [size =\"45949952\"]\n  4 -> 29 [size =\"45949952\"]\n  4 -> 33 [size =\"45949952\"]\n  4 -> 34 [size =\"45949952\"]\n  4 -> 35 [size =\"45949952\"]\n  4 -> 39 [size =\"45949952\"]\n  4 -> 40 [size =\"45949952\"]\n  4 -> 43 [size =\"45949952\"]\n  4 -> 45 [size =\"45949952\"]\n  4 -> 47 [size =\"45949952\"]\n  4 -> 49 [size =\"45949952\"]\n  5 [size=\"102661120\", alpha=\"0.15\", expect_size=\"41064448\"] \n  5 -> 26 [size =\"41064448\"]\n  5 -> 28 [size =\"41064448\"]\n  5 -> 32 [size =\"41064448\"]\n  5 -> 33 [size =\"41064448\"]\n  5 -> 34 [size =\"41064448\"]\n  5 -> 39 [size =\"41064448\"]\n  5 -> 39 [size =\"41064448\"]\n  5 -> 40 [size =\"41064448\"]\n  5 -> 42 [size =\"41064448\"]\n  5 -> 43 [size =\"41064448\"]\n  5 -> 46 [size =\"41064448\"]\n  6 [size=\"78896640\", alpha=\"0.14\", expect_size=\"31558656\"] \n  6 -> 27 [size =\"31558656\"]\n  6 -> 28 [size =\"31558656\"]\n  6 -> 33 [size =\"31558656\"]\n  6 -> 35 [size =\"31558656\"]\n  6 -> 39 [size =\"31558656\"]\n  6 -> 42 [size =\"31558656\"]\n  6 -> 43 [size =\"31558656\"]\n  6 -> 47 [size =\"31558656\"]\n  7 [size=\"43904000\", alpha=\"0.12\", expect_size=\"17561600\"] \n  7 -> 28 [size =\"17561600\"]\n  7 -> 31 [size =\"17561600\"]\n  7 -> 32 [size =\"17561600\"]\n  7 -> 34 [size =\"17561600\"]\n  7 -> 43 [size =\"17561600\"]\n  7 -> 47 [size =\"17561600\"]\n  7 -> 48 [size =\"17561600\"]\n  7 -> 50 [size =\"17561600\"]\n  8 [size=\"87953920\", alpha=\"0.09\", expect_size=\"35181568\"] \n  8 -> 25 [size =\"35181568\"]\n  8 -> 31 [size =\"35181568\"]\n  8 -> 34 [size =\"35181568\"]\n  8 -> 37 [size =\"35181568\"]\n  8 -> 45 [size =\"35181568\"]\n  8 -> 47 [size =\"35181568\"]\n  9 [size=\"126269440\", alpha=\"0.14\", expect_size=\"50507776\"] \n  9 -> 31 [size =\"50507776\"]\n  9 -> 31 [size =\"50507776\"]\n  9 -> 34 [size =\"50507776\"]\n  9 -> 39 [size =\"50507776\"]\n  9 -> 42 [size =\"50507776\"]\n  9 -> 45 [size =\"50507776\"]\n  9 -> 47 [size =\"50507776\"]\n  10 [size=\"25472000\", alpha=\"0.16\", expect_size=\"10188800\"] \n  10 -> 27 [size =\"10188800\"]\n  10 -> 29 [size =\"10188800\"]\n  10 -> 31 [size =\"10188800\"]\n  10 -> 33 [size =\"10188800\"]\n  10 -> 34 [size =\"10188800\"]\n  10 -> 35 [size =\"10188800\"]\n  10 -> 39 [size =\"10188800\"]\n  10 -> 42 [size =\"10188800\"]\n  10 -> 43 [size =\"10188800\"]\n  10 -> 47 [size =\"10188800\"]\n  11 [size=\"120038400\", alpha=\"0.07\", expect_size=\"48015360\"] \n  11 -> 25 [size =\"48015360\"]\n  11 -> 28 [size =\"48015360\"]\n  11 -> 29 [size =\"48015360\"]\n  11 -> 31 [size =\"48015360\"]\n  11 -> 35 [size =\"48015360\"]\n  11 -> 36 [size =\"48015360\"]\n  11 -> 37 [size =\"48015360\"]\n  11 -> 41 [size =\"48015360\"]\n  11 -> 43 [size =\"48015360\"]\n  11 -> 45 [size =\"48015360\"]\n  11 -> 50 [size =\"48015360\"]\n  12 [size=\"100382720\", alpha=\"0.15\", expect_size=\"40153088\"] \n  12 -> 28 [size =\"40153088\"]\n  12 -> 29 [size =\"40153088\"]\n  12 -> 39 [size =\"40153088\"]\n  12 -> 42 [size =\"40153088\"]\n  12 -> 43 [size =\"40153088\"]\n  12 -> 46 [size =\"40153088\"]\n  12 -> 47 [size =\"40153088\"]\n  12 -> 50 [size =\"40153088\"]\n  13 [size=\"111680000\", alpha=\"0.19\", expect_size=\"44672000\"] \n  13 -> 27 [size =\"44672000\"]\n  13 -> 33 [size =\"44672000\"]\n  13 -> 36 [size =\"44672000\"]\n  13 -> 40 [size =\"44672000\"]\n  13 -> 41 [size =\"44672000\"]\n  13 -> 42 [size =\"44672000\"]\n  13 -> 43 [size =\"44672000\"]\n  13 -> 44 [size =\"44672000\"]\n  13 -> 45 [size =\"44672000\"]\n  13 -> 46 [size =\"44672000\"]\n  13 -> 47 [size =\"44672000\"]\n  13 -> 49 [size =\"44672000\"]\n  14 [size=\"48368640\", alpha=\"0.12\", expect_size=\"19347456\"] \n  14 -> 26 [size =\"19347456\"]\n  14 -> 29 [size =\"19347456\"]\n  14 -> 34 [size =\"19347456\"]\n  14 -> 35 [size =\"19347456\"]\n  14 -> 41 [size =\"19347456\"]\n  14 -> 42 [size =\"19347456\"]\n  14 -> 43 [size =\"19347456\"]\n  14 -> 44 [size =\"19347456\"]\n  14 -> 47 [size =\"19347456\"]\n  14 -> 50 [size =\"19347456\"]\n  15 [size=\"66045440\", alpha=\"0.07\", expect_size=\"26418176\"] \n  15 -> 31 [size =\"26418176\"]\n  15 -> 33 [size =\"26418176\"]\n  15 -> 35 [size =\"26418176\"]\n  15 -> 37 [size =\"26418176\"]\n  15 -> 40 [size =\"26418176\"]\n  15 -> 41 [size =\"26418176\"]\n  15 -> 42 [size =\"26418176\"]\n  15 -> 43 [size =\"26418176\"]\n  15 -> 45 [size =\"26418176\"]\n  16 [size=\"37724160\", alpha=\"0.11\", expect_size=\"15089664\"] \n  16 -> 29 [size =\"15089664\"]\n  16 -> 33 [size =\"15089664\"]\n  16 -> 35 [size =\"15089664\"]\n  16 -> 37 [size =\"15089664\"]\n  16 -> 38 [size =\"15089664\"]\n  16 -> 40 [size =\"15089664\"]\n  16 -> 41 [size =\"15089664\"]\n  16 -> 43 [size =\"15089664\"]\n  16 -> 46 [size =\"15089664\"]\n  17 [size=\"122987520\", alpha=\"0.04\", expect_size=\"49195008\"] \n  17 -> 29 [size =\"49195008\"]\n  17 -> 33 [size =\"49195008\"]\n  17 -> 34 [size =\"49195008\"]\n  17 -> 35 [size =\"49195008\"]\n  17 -> 38 [size =\"49195008\"]\n  17 -> 41 [size =\"49195008\"]\n  17 -> 42 [size =\"49195008\"]\n  17 -> 44 [size =\"49195008\"]\n  17 -> 45 [size =\"49195008\"]\n  17 -> 46 [size =\"49195008\"]\n  17 -> 49 [size =\"49195008\"]\n  18 [size=\"76060160\", alpha=\"0.19\", expect_size=\"30424064\"] \n  18 -> 25 [size =\"30424064\"]\n  18 -> 33 [size =\"30424064\"]\n  18 -> 35 [size =\"30424064\"]\n  18 -> 41 [size =\"30424064\"]\n  18 -> 43 [size =\"30424064\"]\n  18 -> 45 [size =\"30424064\"]\n  18 -> 46 [size =\"30424064\"]\n  18 -> 47 [size =\"30424064\"]\n  19 [size=\"128074240\", alpha=\"0.04\", expect_size=\"51229696\"] \n  19 -> 25 [size =\"51229696\"]\n  19 -> 28 [size =\"51229696\"]\n  19 -> 29 [size =\"51229696\"]\n  19 -> 33 [size =\"51229696\"]\n  19 -> 34 [size =\"51229696\"]\n  19 -> 35 [size =\"51229696\"]\n  19 -> 37 [size =\"51229696\"]\n  19 -> 39 [size =\"51229696\"]\n  19 -> 40 [size =\"51229696\"]\n  19 -> 41 [size =\"51229696\"]\n  19 -> 42 [size =\"51229696\"]\n  19 -> 43 [size =\"51229696\"]\n  19 -> 45 [size =\"51229696\"]\n  19 -> 50 [size =\"51229696\"]\n  20 [size=\"91333120\", alpha=\"0.06\", expect_size=\"36533248\"] \n  20 -> 25 [size =\"36533248\"]\n  20 -> 29 [size =\"36533248\"]\n  20 -> 32 [size =\"36533248\"]\n  20 -> 33 [size =\"36533248\"]\n  20 -> 37 [size =\"36533248\"]\n  20 -> 39 [size =\"36533248\"]\n  20 -> 43 [size =\"36533248\"]\n  20 -> 47 [size =\"36533248\"]\n  21 [size=\"65333760\", alpha=\"0.14\", expect_size=\"26133504\"] \n  21 -> 31 [size =\"26133504\"]\n  21 -> 32 [size =\"26133504\"]\n  21 -> 33 [size =\"26133504\"]\n  21 -> 34 [size =\"26133504\"]\n  21 -> 38 [size =\"26133504\"]\n  21 -> 42 [size =\"26133504\"]\n  21 -> 43 [size =\"26133504\"]\n  21 -> 45 [size =\"26133504\"]\n  21 -> 47 [size =\"26133504\"]\n  22 [size=\"104053760\", alpha=\"0.15\", expect_size=\"41621504\"] \n  22 -> 33 [size =\"41621504\"]\n  22 -> 34 [size =\"41621504\"]\n  22 -> 35 [size =\"41621504\"]\n  22 -> 37 [size =\"41621504\"]\n  22 -> 38 [size =\"41621504\"]\n  22 -> 45 [size =\"41621504\"]\n  23 [size=\"75520000\", alpha=\"0.19\", expect_size=\"30208000\"] \n  23 -> 25 [size =\"30208000\"]\n  23 -> 29 [size =\"30208000\"]\n  23 -> 32 [size =\"30208000\"]\n  23 -> 34 [size =\"30208000\"]\n  23 -> 35 [size =\"30208000\"]\n  23 -> 37 [size =\"30208000\"]\n  23 -> 38 [size =\"30208000\"]\n  23 -> 41 [size =\"30208000\"]\n  23 -> 42 [size =\"30208000\"]\n  23 -> 48 [size =\"30208000\"]\n  24 [size=\"68334080\", alpha=\"0.01\", expect_size=\"27333632\"] \n  24 -> 26 [size =\"27333632\"]\n  24 -> 32 [size =\"27333632\"]\n  24 -> 34 [size =\"27333632\"]\n  24 -> 34 [size =\"27333632\"]\n  24 -> 35 [size =\"27333632\"]\n  24 -> 40 [size =\"27333632\"]\n  24 -> 41 [size =\"27333632\"]\n  24 -> 42 [size =\"27333632\"]\n  24 -> 47 [size =\"27333632\"]\n  25 [size=\"21012480\", alpha=\"0.18\", expect_size=\"8404992\"] \n  26 [size=\"63334400\", alpha=\"0.06\", expect_size=\"25333760\"] \n  27 [size=\"129093120\", alpha=\"0.20\", expect_size=\"51637248\"] \n  28 [size=\"37355520\", alpha=\"0.06\", expect_size=\"14942208\"] \n  29 [size=\"29286400\", alpha=\"0.11\", expect_size=\"11714560\"] \n  30 [size=\"53847040\", alpha=\"0.19\", expect_size=\"21538816\"] \n  31 [size=\"90775040\", alpha=\"0.04\", expect_size=\"36310016\"] \n  32 [size=\"57497600\", alpha=\"0.05\", expect_size=\"22999040\"] \n  33 [size=\"25280000\", alpha=\"0.02\", expect_size=\"10112000\"] \n  34 [size=\"20490240\", alpha=\"0.05\", expect_size=\"8196096\"] \n  35 [size=\"26928640\", alpha=\"0.17\", expect_size=\"10771456\"] \n  36 [size=\"16192000\", alpha=\"0.13\", expect_size=\"6476800\"] \n  37 [size=\"54064640\", alpha=\"0.08\", expect_size=\"21625856\"] \n  38 [size=\"53383680\", alpha=\"0.13\", expect_size=\"21353472\"] \n  39 [size=\"88995840\", alpha=\"0.18\", expect_size=\"35598336\"] \n  40 [size=\"38136320\", alpha=\"0.17\", expect_size=\"15254528\"] \n  41 [size=\"31134720\", alpha=\"0.04\", expect_size=\"12453888\"] \n  42 [size=\"56960000\", alpha=\"0.06\", expect_size=\"22784000\"] \n  43 [size=\"84920320\", alpha=\"0.19\", expect_size=\"33968128\"] \n  44 [size=\"95628800\", alpha=\"0.02\", expect_size=\"38251520\"] \n  45 [size=\"124341760\", alpha=\"0.06\", expect_size=\"49736704\"] \n  46 [size=\"106040320\", alpha=\"0.18\", expect_size=\"42416128\"] \n  47 [size=\"65336320\", alpha=\"0.10\", expect_size=\"26134528\"] \n  48 [size=\"112112640\", alpha=\"0.06\", expect_size=\"44845056\"] \n  49 [size=\"73397760\", alpha=\"0.05\", expect_size=\"29359104\"] \n  50 [size=\"64158720\", alpha=\"0.11\", expect_size=\"25663488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108462080\", alpha=\"0.02\", expect_size=\"32538624\"] \n  1 -> 37 [size =\"32538624\"]\n  1 -> 38 [size =\"32538624\"]\n  2 [size=\"86401707\", alpha=\"0.20\", expect_size=\"25920512\"] \n  2 -> 39 [size =\"25920512\"]\n  3 [size=\"83551573\", alpha=\"0.11\", expect_size=\"25065472\"] \n  3 -> 40 [size =\"25065472\"]\n  3 -> 43 [size =\"25065472\"]\n  3 -> 46 [size =\"25065472\"]\n  4 [size=\"153586347\", alpha=\"0.15\", expect_size=\"46075904\"] \n  4 -> 43 [size =\"46075904\"]\n  4 -> 46 [size =\"46075904\"]\n  5 [size=\"131191467\", alpha=\"0.01\", expect_size=\"39357440\"] \n  5 -> 40 [size =\"39357440\"]\n  5 -> 44 [size =\"39357440\"]\n  5 -> 48 [size =\"39357440\"]\n  6 [size=\"65860267\", alpha=\"0.06\", expect_size=\"19758080\"] \n  6 -> 42 [size =\"19758080\"]\n  6 -> 45 [size =\"19758080\"]\n  6 -> 47 [size =\"19758080\"]\n  7 [size=\"104342187\", alpha=\"0.19\", expect_size=\"31302656\"] \n  7 -> 46 [size =\"31302656\"]\n  7 -> 50 [size =\"31302656\"]\n  8 [size=\"38075733\", alpha=\"0.15\", expect_size=\"11422720\"] \n  8 -> 39 [size =\"11422720\"]\n  8 -> 44 [size =\"11422720\"]\n  8 -> 46 [size =\"11422720\"]\n  9 [size=\"90828800\", alpha=\"0.07\", expect_size=\"27248640\"] \n  9 -> 39 [size =\"27248640\"]\n  9 -> 40 [size =\"27248640\"]\n  9 -> 44 [size =\"27248640\"]\n  10 [size=\"149275307\", alpha=\"0.04\", expect_size=\"44782592\"] \n  10 -> 40 [size =\"44782592\"]\n  10 -> 41 [size =\"44782592\"]\n  10 -> 46 [size =\"44782592\"]\n  11 [size=\"144104107\", alpha=\"0.08\", expect_size=\"43231232\"] \n  11 -> 36 [size =\"43231232\"]\n  11 -> 37 [size =\"43231232\"]\n  11 -> 39 [size =\"43231232\"]\n  11 -> 45 [size =\"43231232\"]\n  12 [size=\"159600640\", alpha=\"0.18\", expect_size=\"47880192\"] \n  12 -> 37 [size =\"47880192\"]\n  12 -> 38 [size =\"47880192\"]\n  12 -> 40 [size =\"47880192\"]\n  12 -> 44 [size =\"47880192\"]\n  12 -> 45 [size =\"47880192\"]\n  12 -> 46 [size =\"47880192\"]\n  13 [size=\"157231787\", alpha=\"0.19\", expect_size=\"47169536\"] \n  13 -> 37 [size =\"47169536\"]\n  13 -> 38 [size =\"47169536\"]\n  13 -> 39 [size =\"47169536\"]\n  13 -> 40 [size =\"47169536\"]\n  13 -> 41 [size =\"47169536\"]\n  13 -> 48 [size =\"47169536\"]\n  14 [size=\"89463467\", alpha=\"0.05\", expect_size=\"26839040\"] \n  14 -> 40 [size =\"26839040\"]\n  14 -> 45 [size =\"26839040\"]\n  14 -> 48 [size =\"26839040\"]\n  15 [size=\"47052800\", alpha=\"0.01\", expect_size=\"14115840\"] \n  15 -> 37 [size =\"14115840\"]\n  15 -> 38 [size =\"14115840\"]\n  16 [size=\"57480533\", alpha=\"0.05\", expect_size=\"17244160\"] \n  16 -> 37 [size =\"17244160\"]\n  16 -> 38 [size =\"17244160\"]\n  16 -> 42 [size =\"17244160\"]\n  17 [size=\"101058560\", alpha=\"0.03\", expect_size=\"30317568\"] \n  17 -> 37 [size =\"30317568\"]\n  17 -> 43 [size =\"30317568\"]\n  17 -> 44 [size =\"30317568\"]\n  17 -> 45 [size =\"30317568\"]\n  17 -> 48 [size =\"30317568\"]\n  18 [size=\"97061547\", alpha=\"0.06\", expect_size=\"29118464\"] \n  18 -> 43 [size =\"29118464\"]\n  18 -> 50 [size =\"29118464\"]\n  19 [size=\"54514347\", alpha=\"0.15\", expect_size=\"16354304\"] \n  19 -> 38 [size =\"16354304\"]\n  19 -> 40 [size =\"16354304\"]\n  19 -> 41 [size =\"16354304\"]\n  19 -> 43 [size =\"16354304\"]\n  19 -> 46 [size =\"16354304\"]\n  20 [size=\"107076267\", alpha=\"0.08\", expect_size=\"32122880\"] \n  20 -> 38 [size =\"32122880\"]\n  20 -> 40 [size =\"32122880\"]\n  20 -> 44 [size =\"32122880\"]\n  20 -> 47 [size =\"32122880\"]\n  21 [size=\"141820587\", alpha=\"0.12\", expect_size=\"42546176\"] \n  21 -> 37 [size =\"42546176\"]\n  21 -> 39 [size =\"42546176\"]\n  22 [size=\"44397227\", alpha=\"0.05\", expect_size=\"13319168\"] \n  22 -> 37 [size =\"13319168\"]\n  22 -> 44 [size =\"13319168\"]\n  22 -> 46 [size =\"13319168\"]\n  23 [size=\"27559253\", alpha=\"0.07\", expect_size=\"8267776\"] \n  23 -> 40 [size =\"8267776\"]\n  23 -> 46 [size =\"8267776\"]\n  24 [size=\"174752427\", alpha=\"0.05\", expect_size=\"52425728\"] \n  24 -> 43 [size =\"52425728\"]\n  24 -> 46 [size =\"52425728\"]\n  24 -> 48 [size =\"52425728\"]\n  25 [size=\"57029973\", alpha=\"0.18\", expect_size=\"17108992\"] \n  25 -> 41 [size =\"17108992\"]\n  25 -> 43 [size =\"17108992\"]\n  25 -> 46 [size =\"17108992\"]\n  25 -> 48 [size =\"17108992\"]\n  26 [size=\"63757653\", alpha=\"0.18\", expect_size=\"19127296\"] \n  26 -> 37 [size =\"19127296\"]\n  26 -> 43 [size =\"19127296\"]\n  26 -> 47 [size =\"19127296\"]\n  27 [size=\"101543253\", alpha=\"0.08\", expect_size=\"30462976\"] \n  27 -> 37 [size =\"30462976\"]\n  27 -> 39 [size =\"30462976\"]\n  27 -> 41 [size =\"30462976\"]\n  27 -> 42 [size =\"30462976\"]\n  27 -> 43 [size =\"30462976\"]\n  27 -> 46 [size =\"30462976\"]\n  27 -> 47 [size =\"30462976\"]\n  28 [size=\"127941973\", alpha=\"0.01\", expect_size=\"38382592\"] \n  28 -> 37 [size =\"38382592\"]\n  28 -> 40 [size =\"38382592\"]\n  28 -> 42 [size =\"38382592\"]\n  28 -> 43 [size =\"38382592\"]\n  28 -> 44 [size =\"38382592\"]\n  28 -> 46 [size =\"38382592\"]\n  28 -> 49 [size =\"38382592\"]\n  28 -> 50 [size =\"38382592\"]\n  29 [size=\"173151573\", alpha=\"0.03\", expect_size=\"51945472\"] \n  29 -> 37 [size =\"51945472\"]\n  29 -> 38 [size =\"51945472\"]\n  29 -> 40 [size =\"51945472\"]\n  29 -> 41 [size =\"51945472\"]\n  29 -> 42 [size =\"51945472\"]\n  29 -> 43 [size =\"51945472\"]\n  29 -> 44 [size =\"51945472\"]\n  29 -> 48 [size =\"51945472\"]\n  30 [size=\"137325227\", alpha=\"0.02\", expect_size=\"41197568\"] \n  30 -> 37 [size =\"41197568\"]\n  30 -> 38 [size =\"41197568\"]\n  30 -> 40 [size =\"41197568\"]\n  30 -> 42 [size =\"41197568\"]\n  30 -> 43 [size =\"41197568\"]\n  30 -> 43 [size =\"41197568\"]\n  30 -> 44 [size =\"41197568\"]\n  30 -> 48 [size =\"41197568\"]\n  31 [size=\"43649707\", alpha=\"0.18\", expect_size=\"13094912\"] \n  31 -> 44 [size =\"13094912\"]\n  31 -> 47 [size =\"13094912\"]\n  31 -> 48 [size =\"13094912\"]\n  32 [size=\"140407467\", alpha=\"0.11\", expect_size=\"42122240\"] \n  32 -> 38 [size =\"42122240\"]\n  32 -> 41 [size =\"42122240\"]\n  32 -> 42 [size =\"42122240\"]\n  32 -> 43 [size =\"42122240\"]\n  32 -> 46 [size =\"42122240\"]\n  32 -> 47 [size =\"42122240\"]\n  32 -> 50 [size =\"42122240\"]\n  33 [size=\"24664747\", alpha=\"0.02\", expect_size=\"7399424\"] \n  33 -> 39 [size =\"7399424\"]\n  33 -> 41 [size =\"7399424\"]\n  33 -> 43 [size =\"7399424\"]\n  33 -> 46 [size =\"7399424\"]\n  33 -> 47 [size =\"7399424\"]\n  33 -> 48 [size =\"7399424\"]\n  34 [size=\"77066240\", alpha=\"0.02\", expect_size=\"23119872\"] \n  34 -> 37 [size =\"23119872\"]\n  34 -> 38 [size =\"23119872\"]\n  34 -> 41 [size =\"23119872\"]\n  34 -> 44 [size =\"23119872\"]\n  34 -> 45 [size =\"23119872\"]\n  34 -> 48 [size =\"23119872\"]\n  35 [size=\"119152640\", alpha=\"0.06\", expect_size=\"35745792\"] \n  35 -> 37 [size =\"35745792\"]\n  35 -> 43 [size =\"35745792\"]\n  36 [size=\"107352747\", alpha=\"0.15\", expect_size=\"32205824\"] \n  37 [size=\"90053973\", alpha=\"0.15\", expect_size=\"27016192\"] \n  38 [size=\"154125653\", alpha=\"0.04\", expect_size=\"46237696\"] \n  39 [size=\"162880853\", alpha=\"0.19\", expect_size=\"48864256\"] \n  40 [size=\"32389120\", alpha=\"0.05\", expect_size=\"9716736\"] \n  41 [size=\"51739307\", alpha=\"0.06\", expect_size=\"15521792\"] \n  42 [size=\"32986453\", alpha=\"0.11\", expect_size=\"9895936\"] \n  43 [size=\"118254933\", alpha=\"0.18\", expect_size=\"35476480\"] \n  44 [size=\"132737707\", alpha=\"0.04\", expect_size=\"39821312\"] \n  45 [size=\"148415147\", alpha=\"0.15\", expect_size=\"44524544\"] \n  46 [size=\"37580800\", alpha=\"0.13\", expect_size=\"11274240\"] \n  47 [size=\"154818560\", alpha=\"0.01\", expect_size=\"46445568\"] \n  48 [size=\"111848107\", alpha=\"0.03\", expect_size=\"33554432\"] \n  49 [size=\"145544533\", alpha=\"0.05\", expect_size=\"43663360\"] \n  50 [size=\"135659520\", alpha=\"0.02\", expect_size=\"40697856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.760.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23099392\", alpha=\"0.10\", expect_size=\"11549696\"] \n  1 -> 18 [size =\"11549696\"]\n  1 -> 19 [size =\"11549696\"]\n  1 -> 24 [size =\"11549696\"]\n  1 -> 26 [size =\"11549696\"]\n  1 -> 30 [size =\"11549696\"]\n  2 [size=\"55668736\", alpha=\"0.09\", expect_size=\"27834368\"] \n  2 -> 17 [size =\"27834368\"]\n  2 -> 21 [size =\"27834368\"]\n  2 -> 22 [size =\"27834368\"]\n  2 -> 30 [size =\"27834368\"]\n  3 [size=\"103847936\", alpha=\"0.07\", expect_size=\"51923968\"] \n  3 -> 16 [size =\"51923968\"]\n  3 -> 19 [size =\"51923968\"]\n  3 -> 21 [size =\"51923968\"]\n  3 -> 23 [size =\"51923968\"]\n  3 -> 29 [size =\"51923968\"]\n  4 [size=\"39028736\", alpha=\"0.13\", expect_size=\"19514368\"] \n  4 -> 25 [size =\"19514368\"]\n  4 -> 29 [size =\"19514368\"]\n  5 [size=\"38959104\", alpha=\"0.16\", expect_size=\"19479552\"] \n  5 -> 17 [size =\"19479552\"]\n  5 -> 19 [size =\"19479552\"]\n  5 -> 25 [size =\"19479552\"]\n  5 -> 29 [size =\"19479552\"]\n  6 [size=\"77017088\", alpha=\"0.12\", expect_size=\"38508544\"] \n  6 -> 16 [size =\"38508544\"]\n  6 -> 17 [size =\"38508544\"]\n  6 -> 19 [size =\"38508544\"]\n  6 -> 22 [size =\"38508544\"]\n  7 [size=\"30025728\", alpha=\"0.08\", expect_size=\"15012864\"] \n  7 -> 16 [size =\"15012864\"]\n  7 -> 17 [size =\"15012864\"]\n  7 -> 19 [size =\"15012864\"]\n  7 -> 21 [size =\"15012864\"]\n  7 -> 28 [size =\"15012864\"]\n  7 -> 29 [size =\"15012864\"]\n  8 [size=\"93061120\", alpha=\"0.07\", expect_size=\"46530560\"] \n  8 -> 16 [size =\"46530560\"]\n  8 -> 17 [size =\"46530560\"]\n  9 [size=\"54091776\", alpha=\"0.09\", expect_size=\"27045888\"] \n  9 -> 16 [size =\"27045888\"]\n  9 -> 17 [size =\"27045888\"]\n  9 -> 24 [size =\"27045888\"]\n  9 -> 27 [size =\"27045888\"]\n  9 -> 29 [size =\"27045888\"]\n  10 [size=\"22564864\", alpha=\"0.03\", expect_size=\"11282432\"] \n  10 -> 21 [size =\"11282432\"]\n  11 [size=\"23394304\", alpha=\"0.09\", expect_size=\"11697152\"] \n  11 -> 23 [size =\"11697152\"]\n  11 -> 25 [size =\"11697152\"]\n  11 -> 28 [size =\"11697152\"]\n  11 -> 29 [size =\"11697152\"]\n  12 [size=\"71792640\", alpha=\"0.01\", expect_size=\"35896320\"] \n  12 -> 16 [size =\"35896320\"]\n  12 -> 17 [size =\"35896320\"]\n  12 -> 18 [size =\"35896320\"]\n  12 -> 21 [size =\"35896320\"]\n  12 -> 24 [size =\"35896320\"]\n  12 -> 26 [size =\"35896320\"]\n  12 -> 29 [size =\"35896320\"]\n  13 [size=\"18468864\", alpha=\"0.08\", expect_size=\"9234432\"] \n  13 -> 30 [size =\"9234432\"]\n  14 [size=\"52807680\", alpha=\"0.13\", expect_size=\"26403840\"] \n  14 -> 19 [size =\"26403840\"]\n  14 -> 21 [size =\"26403840\"]\n  14 -> 22 [size =\"26403840\"]\n  14 -> 30 [size =\"26403840\"]\n  15 [size=\"18749440\", alpha=\"0.10\", expect_size=\"9374720\"] \n  15 -> 17 [size =\"9374720\"]\n  15 -> 19 [size =\"9374720\"]\n  15 -> 20 [size =\"9374720\"]\n  15 -> 21 [size =\"9374720\"]\n  15 -> 22 [size =\"9374720\"]\n  15 -> 23 [size =\"9374720\"]\n  15 -> 26 [size =\"9374720\"]\n  15 -> 30 [size =\"9374720\"]\n  16 [size=\"92256256\", alpha=\"0.09\", expect_size=\"46128128\"] \n  16 -> 31 [size =\"46128128\"]\n  16 -> 33 [size =\"46128128\"]\n  16 -> 37 [size =\"46128128\"]\n  16 -> 41 [size =\"46128128\"]\n  16 -> 43 [size =\"46128128\"]\n  17 [size=\"52467712\", alpha=\"0.14\", expect_size=\"26233856\"] \n  17 -> 31 [size =\"26233856\"]\n  17 -> 33 [size =\"26233856\"]\n  17 -> 43 [size =\"26233856\"]\n  17 -> 44 [size =\"26233856\"]\n  18 [size=\"90130432\", alpha=\"0.16\", expect_size=\"45065216\"] \n  18 -> 33 [size =\"45065216\"]\n  18 -> 36 [size =\"45065216\"]\n  18 -> 40 [size =\"45065216\"]\n  18 -> 41 [size =\"45065216\"]\n  18 -> 44 [size =\"45065216\"]\n  19 [size=\"30138368\", alpha=\"0.07\", expect_size=\"15069184\"] \n  19 -> 34 [size =\"15069184\"]\n  19 -> 35 [size =\"15069184\"]\n  19 -> 38 [size =\"15069184\"]\n  19 -> 39 [size =\"15069184\"]\n  19 -> 40 [size =\"15069184\"]\n  19 -> 41 [size =\"15069184\"]\n  20 [size=\"72994816\", alpha=\"0.08\", expect_size=\"36497408\"] \n  20 -> 32 [size =\"36497408\"]\n  20 -> 33 [size =\"36497408\"]\n  20 -> 35 [size =\"36497408\"]\n  20 -> 38 [size =\"36497408\"]\n  20 -> 41 [size =\"36497408\"]\n  21 [size=\"88276992\", alpha=\"0.13\", expect_size=\"44138496\"] \n  21 -> 31 [size =\"44138496\"]\n  21 -> 33 [size =\"44138496\"]\n  21 -> 35 [size =\"44138496\"]\n  21 -> 36 [size =\"44138496\"]\n  21 -> 45 [size =\"44138496\"]\n  22 [size=\"34310144\", alpha=\"0.07\", expect_size=\"17155072\"] \n  22 -> 31 [size =\"17155072\"]\n  22 -> 34 [size =\"17155072\"]\n  22 -> 35 [size =\"17155072\"]\n  22 -> 45 [size =\"17155072\"]\n  23 [size=\"40687616\", alpha=\"0.00\", expect_size=\"20343808\"] \n  23 -> 31 [size =\"20343808\"]\n  23 -> 35 [size =\"20343808\"]\n  23 -> 43 [size =\"20343808\"]\n  23 -> 45 [size =\"20343808\"]\n  24 [size=\"79857664\", alpha=\"0.20\", expect_size=\"39928832\"] \n  24 -> 32 [size =\"39928832\"]\n  24 -> 34 [size =\"39928832\"]\n  24 -> 40 [size =\"39928832\"]\n  24 -> 45 [size =\"39928832\"]\n  25 [size=\"46612480\", alpha=\"0.06\", expect_size=\"23306240\"] \n  25 -> 31 [size =\"23306240\"]\n  25 -> 32 [size =\"23306240\"]\n  25 -> 34 [size =\"23306240\"]\n  25 -> 35 [size =\"23306240\"]\n  25 -> 37 [size =\"23306240\"]\n  25 -> 42 [size =\"23306240\"]\n  25 -> 43 [size =\"23306240\"]\n  25 -> 45 [size =\"23306240\"]\n  26 [size=\"93460480\", alpha=\"0.05\", expect_size=\"46730240\"] \n  26 -> 32 [size =\"46730240\"]\n  26 -> 34 [size =\"46730240\"]\n  26 -> 37 [size =\"46730240\"]\n  26 -> 38 [size =\"46730240\"]\n  26 -> 39 [size =\"46730240\"]\n  26 -> 40 [size =\"46730240\"]\n  26 -> 43 [size =\"46730240\"]\n  26 -> 45 [size =\"46730240\"]\n  27 [size=\"43640832\", alpha=\"0.09\", expect_size=\"21820416\"] \n  27 -> 34 [size =\"21820416\"]\n  27 -> 37 [size =\"21820416\"]\n  27 -> 45 [size =\"21820416\"]\n  28 [size=\"16896000\", alpha=\"0.11\", expect_size=\"8448000\"] \n  28 -> 32 [size =\"8448000\"]\n  28 -> 33 [size =\"8448000\"]\n  28 -> 34 [size =\"8448000\"]\n  28 -> 40 [size =\"8448000\"]\n  29 [size=\"92473344\", alpha=\"0.02\", expect_size=\"46236672\"] \n  29 -> 33 [size =\"46236672\"]\n  29 -> 35 [size =\"46236672\"]\n  29 -> 36 [size =\"46236672\"]\n  29 -> 37 [size =\"46236672\"]\n  29 -> 38 [size =\"46236672\"]\n  29 -> 39 [size =\"46236672\"]\n  29 -> 40 [size =\"46236672\"]\n  29 -> 44 [size =\"46236672\"]\n  30 [size=\"30339072\", alpha=\"0.15\", expect_size=\"15169536\"] \n  30 -> 37 [size =\"15169536\"]\n  30 -> 38 [size =\"15169536\"]\n  30 -> 40 [size =\"15169536\"]\n  30 -> 41 [size =\"15169536\"]\n  30 -> 44 [size =\"15169536\"]\n  31 [size=\"70135808\", alpha=\"0.11\", expect_size=\"35067904\"] \n  31 -> 49 [size =\"35067904\"]\n  32 [size=\"35735552\", alpha=\"0.20\", expect_size=\"17867776\"] \n  32 -> 46 [size =\"17867776\"]\n  33 [size=\"66697216\", alpha=\"0.11\", expect_size=\"33348608\"] \n  33 -> 50 [size =\"33348608\"]\n  34 [size=\"67635200\", alpha=\"0.10\", expect_size=\"33817600\"] \n  34 -> 48 [size =\"33817600\"]\n  34 -> 49 [size =\"33817600\"]\n  34 -> 50 [size =\"33817600\"]\n  35 [size=\"67096576\", alpha=\"0.12\", expect_size=\"33548288\"] \n  35 -> 46 [size =\"33548288\"]\n  35 -> 47 [size =\"33548288\"]\n  35 -> 48 [size =\"33548288\"]\n  35 -> 50 [size =\"33548288\"]\n  36 [size=\"93556736\", alpha=\"0.10\", expect_size=\"46778368\"] \n  36 -> 46 [size =\"46778368\"]\n  36 -> 49 [size =\"46778368\"]\n  37 [size=\"24801280\", alpha=\"0.18\", expect_size=\"12400640\"] \n  38 [size=\"69117952\", alpha=\"0.02\", expect_size=\"34558976\"] \n  38 -> 49 [size =\"34558976\"]\n  39 [size=\"25968640\", alpha=\"0.11\", expect_size=\"12984320\"] \n  39 -> 46 [size =\"12984320\"]\n  39 -> 48 [size =\"12984320\"]\n  39 -> 49 [size =\"12984320\"]\n  40 [size=\"33327104\", alpha=\"0.13\", expect_size=\"16663552\"] \n  40 -> 46 [size =\"16663552\"]\n  40 -> 50 [size =\"16663552\"]\n  41 [size=\"103276544\", alpha=\"0.11\", expect_size=\"51638272\"] \n  41 -> 46 [size =\"51638272\"]\n  41 -> 48 [size =\"51638272\"]\n  42 [size=\"59981824\", alpha=\"0.15\", expect_size=\"29990912\"] \n  43 [size=\"59123712\", alpha=\"0.05\", expect_size=\"29561856\"] \n  43 -> 48 [size =\"29561856\"]\n  43 -> 50 [size =\"29561856\"]\n  44 [size=\"14313472\", alpha=\"0.09\", expect_size=\"7156736\"] \n  44 -> 46 [size =\"7156736\"]\n  45 [size=\"62246912\", alpha=\"0.02\", expect_size=\"31123456\"] \n  45 -> 47 [size =\"31123456\"]\n  46 [size=\"22444032\", alpha=\"0.11\", expect_size=\"11222016\"] \n  47 [size=\"71047168\", alpha=\"0.08\", expect_size=\"35523584\"] \n  48 [size=\"61298688\", alpha=\"0.06\", expect_size=\"30649344\"] \n  49 [size=\"72843264\", alpha=\"0.02\", expect_size=\"36421632\"] \n  50 [size=\"30961664\", alpha=\"0.02\", expect_size=\"15480832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.761.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21138773\", alpha=\"0.14\", expect_size=\"6341632\"] \n  1 -> 4 [size =\"6341632\"]\n  1 -> 5 [size =\"6341632\"]\n  1 -> 6 [size =\"6341632\"]\n  2 [size=\"34205013\", alpha=\"0.07\", expect_size=\"10261504\"] \n  2 -> 4 [size =\"10261504\"]\n  3 [size=\"68778667\", alpha=\"0.15\", expect_size=\"20633600\"] \n  3 -> 6 [size =\"20633600\"]\n  4 [size=\"117872640\", alpha=\"0.13\", expect_size=\"35361792\"] \n  4 -> 7 [size =\"35361792\"]\n  4 -> 8 [size =\"35361792\"]\n  5 [size=\"99150507\", alpha=\"0.20\", expect_size=\"29745152\"] \n  5 -> 8 [size =\"29745152\"]\n  6 [size=\"122255360\", alpha=\"0.04\", expect_size=\"36676608\"] \n  7 [size=\"80155307\", alpha=\"0.19\", expect_size=\"24046592\"] \n  8 [size=\"96071680\", alpha=\"0.12\", expect_size=\"28821504\"] \n  8 -> 9 [size =\"28821504\"]\n  8 -> 10 [size =\"28821504\"]\n  9 [size=\"121658027\", alpha=\"0.06\", expect_size=\"36497408\"] \n  9 -> 11 [size =\"36497408\"]\n  9 -> 12 [size =\"36497408\"]\n  10 [size=\"51466240\", alpha=\"0.04\", expect_size=\"15439872\"] \n  10 -> 11 [size =\"15439872\"]\n  10 -> 12 [size =\"15439872\"]\n  11 [size=\"155238400\", alpha=\"0.16\", expect_size=\"46571520\"] \n  11 -> 13 [size =\"46571520\"]\n  11 -> 14 [size =\"46571520\"]\n  12 [size=\"104922453\", alpha=\"0.05\", expect_size=\"31476736\"] \n  12 -> 14 [size =\"31476736\"]\n  13 [size=\"159989760\", alpha=\"0.05\", expect_size=\"47996928\"] \n  13 -> 15 [size =\"47996928\"]\n  13 -> 16 [size =\"47996928\"]\n  13 -> 17 [size =\"47996928\"]\n  14 [size=\"119934293\", alpha=\"0.18\", expect_size=\"35980288\"] \n  14 -> 15 [size =\"35980288\"]\n  14 -> 16 [size =\"35980288\"]\n  14 -> 17 [size =\"35980288\"]\n  15 [size=\"68666027\", alpha=\"0.09\", expect_size=\"20599808\"] \n  15 -> 18 [size =\"20599808\"]\n  15 -> 19 [size =\"20599808\"]\n  16 [size=\"66222080\", alpha=\"0.09\", expect_size=\"19866624\"] \n  16 -> 18 [size =\"19866624\"]\n  16 -> 19 [size =\"19866624\"]\n  16 -> 20 [size =\"19866624\"]\n  17 [size=\"95965867\", alpha=\"0.01\", expect_size=\"28789760\"] \n  17 -> 18 [size =\"28789760\"]\n  17 -> 19 [size =\"28789760\"]\n  18 [size=\"85852160\", alpha=\"0.03\", expect_size=\"25755648\"] \n  18 -> 21 [size =\"25755648\"]\n  18 -> 22 [size =\"25755648\"]\n  19 [size=\"23326720\", alpha=\"0.13\", expect_size=\"6998016\"] \n  19 -> 21 [size =\"6998016\"]\n  20 [size=\"72550400\", alpha=\"0.16\", expect_size=\"21765120\"] \n  20 -> 21 [size =\"21765120\"]\n  20 -> 22 [size =\"21765120\"]\n  20 -> 23 [size =\"21765120\"]\n  21 [size=\"101468160\", alpha=\"0.19\", expect_size=\"30440448\"] \n  21 -> 25 [size =\"30440448\"]\n  22 [size=\"69495467\", alpha=\"0.05\", expect_size=\"20848640\"] \n  22 -> 24 [size =\"20848640\"]\n  23 [size=\"112698027\", alpha=\"0.17\", expect_size=\"33809408\"] \n  23 -> 24 [size =\"33809408\"]\n  24 [size=\"154859520\", alpha=\"0.02\", expect_size=\"46457856\"] \n  24 -> 27 [size =\"46457856\"]\n  24 -> 28 [size =\"46457856\"]\n  25 [size=\"142946987\", alpha=\"0.17\", expect_size=\"42884096\"] \n  25 -> 26 [size =\"42884096\"]\n  25 -> 28 [size =\"42884096\"]\n  26 [size=\"55470080\", alpha=\"0.06\", expect_size=\"16641024\"] \n  26 -> 29 [size =\"16641024\"]\n  26 -> 30 [size =\"16641024\"]\n  26 -> 31 [size =\"16641024\"]\n  27 [size=\"128242347\", alpha=\"0.02\", expect_size=\"38472704\"] \n  27 -> 29 [size =\"38472704\"]\n  28 [size=\"135707307\", alpha=\"0.09\", expect_size=\"40712192\"] \n  28 -> 31 [size =\"40712192\"]\n  29 [size=\"157265920\", alpha=\"0.09\", expect_size=\"47179776\"] \n  29 -> 32 [size =\"47179776\"]\n  29 -> 33 [size =\"47179776\"]\n  30 [size=\"98874027\", alpha=\"0.13\", expect_size=\"29662208\"] \n  30 -> 33 [size =\"29662208\"]\n  31 [size=\"64392533\", alpha=\"0.15\", expect_size=\"19317760\"] \n  31 -> 32 [size =\"19317760\"]\n  32 [size=\"57483947\", alpha=\"0.07\", expect_size=\"17245184\"] \n  33 [size=\"94883840\", alpha=\"0.18\", expect_size=\"28465152\"] \n  33 -> 34 [size =\"28465152\"]\n  33 -> 35 [size =\"28465152\"]\n  34 [size=\"70608213\", alpha=\"0.02\", expect_size=\"21182464\"] \n  34 -> 36 [size =\"21182464\"]\n  34 -> 37 [size =\"21182464\"]\n  34 -> 38 [size =\"21182464\"]\n  35 [size=\"85053440\", alpha=\"0.13\", expect_size=\"25516032\"] \n  35 -> 36 [size =\"25516032\"]\n  35 -> 37 [size =\"25516032\"]\n  36 [size=\"62607360\", alpha=\"0.09\", expect_size=\"18782208\"] \n  36 -> 39 [size =\"18782208\"]\n  36 -> 40 [size =\"18782208\"]\n  37 [size=\"108055893\", alpha=\"0.16\", expect_size=\"32416768\"] \n  37 -> 40 [size =\"32416768\"]\n  37 -> 41 [size =\"32416768\"]\n  38 [size=\"126784853\", alpha=\"0.11\", expect_size=\"38035456\"] \n  38 -> 40 [size =\"38035456\"]\n  38 -> 41 [size =\"38035456\"]\n  39 [size=\"40110080\", alpha=\"0.08\", expect_size=\"12033024\"] \n  39 -> 43 [size =\"12033024\"]\n  40 [size=\"109499733\", alpha=\"0.11\", expect_size=\"32849920\"] \n  40 -> 42 [size =\"32849920\"]\n  41 [size=\"54367573\", alpha=\"0.04\", expect_size=\"16310272\"] \n  41 -> 42 [size =\"16310272\"]\n  41 -> 43 [size =\"16310272\"]\n  41 -> 44 [size =\"16310272\"]\n  42 [size=\"169772373\", alpha=\"0.05\", expect_size=\"50931712\"] \n  42 -> 46 [size =\"50931712\"]\n  43 [size=\"71297707\", alpha=\"0.17\", expect_size=\"21389312\"] \n  43 -> 45 [size =\"21389312\"]\n  43 -> 47 [size =\"21389312\"]\n  44 [size=\"58746880\", alpha=\"0.07\", expect_size=\"17624064\"] \n  44 -> 45 [size =\"17624064\"]\n  44 -> 46 [size =\"17624064\"]\n  44 -> 47 [size =\"17624064\"]\n  45 [size=\"77291520\", alpha=\"0.13\", expect_size=\"23187456\"] \n  45 -> 49 [size =\"23187456\"]\n  46 [size=\"20838400\", alpha=\"0.04\", expect_size=\"6251520\"] \n  46 -> 50 [size =\"6251520\"]\n  47 [size=\"95419733\", alpha=\"0.09\", expect_size=\"28625920\"] \n  47 -> 48 [size =\"28625920\"]\n  48 [size=\"64948907\", alpha=\"0.09\", expect_size=\"19484672\"] \n  49 [size=\"155098453\", alpha=\"0.06\", expect_size=\"46529536\"] \n  50 [size=\"57146027\", alpha=\"0.14\", expect_size=\"17143808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.762.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90515456\", alpha=\"0.06\", expect_size=\"45257728\"] \n  2 [size=\"58902528\", alpha=\"0.16\", expect_size=\"29451264\"] \n  2 -> 4 [size =\"29451264\"]\n  2 -> 6 [size =\"29451264\"]\n  3 [size=\"84637696\", alpha=\"0.03\", expect_size=\"42318848\"] \n  3 -> 5 [size =\"42318848\"]\n  4 [size=\"41066496\", alpha=\"0.18\", expect_size=\"20533248\"] \n  4 -> 7 [size =\"20533248\"]\n  5 [size=\"97425408\", alpha=\"0.06\", expect_size=\"48712704\"] \n  5 -> 8 [size =\"48712704\"]\n  6 [size=\"30076928\", alpha=\"0.19\", expect_size=\"15038464\"] \n  7 [size=\"25665536\", alpha=\"0.06\", expect_size=\"12832768\"] \n  7 -> 10 [size =\"12832768\"]\n  8 [size=\"51050496\", alpha=\"0.16\", expect_size=\"25525248\"] \n  8 -> 9 [size =\"25525248\"]\n  8 -> 10 [size =\"25525248\"]\n  9 [size=\"47583232\", alpha=\"0.20\", expect_size=\"23791616\"] \n  9 -> 12 [size =\"23791616\"]\n  10 [size=\"44787712\", alpha=\"0.18\", expect_size=\"22393856\"] \n  10 -> 11 [size =\"22393856\"]\n  11 [size=\"96022528\", alpha=\"0.03\", expect_size=\"48011264\"] \n  11 -> 13 [size =\"48011264\"]\n  11 -> 14 [size =\"48011264\"]\n  11 -> 15 [size =\"48011264\"]\n  12 [size=\"28499968\", alpha=\"0.17\", expect_size=\"14249984\"] \n  12 -> 13 [size =\"14249984\"]\n  12 -> 15 [size =\"14249984\"]\n  13 [size=\"104398848\", alpha=\"0.16\", expect_size=\"52199424\"] \n  13 -> 16 [size =\"52199424\"]\n  13 -> 19 [size =\"52199424\"]\n  14 [size=\"22317056\", alpha=\"0.01\", expect_size=\"11158528\"] \n  15 [size=\"12754944\", alpha=\"0.01\", expect_size=\"6377472\"] \n  15 -> 17 [size =\"6377472\"]\n  15 -> 18 [size =\"6377472\"]\n  15 -> 19 [size =\"6377472\"]\n  16 [size=\"42285056\", alpha=\"0.07\", expect_size=\"21142528\"] \n  17 [size=\"38279168\", alpha=\"0.07\", expect_size=\"19139584\"] \n  17 -> 20 [size =\"19139584\"]\n  17 -> 21 [size =\"19139584\"]\n  17 -> 22 [size =\"19139584\"]\n  18 [size=\"67848192\", alpha=\"0.18\", expect_size=\"33924096\"] \n  18 -> 20 [size =\"33924096\"]\n  18 -> 21 [size =\"33924096\"]\n  19 [size=\"49160192\", alpha=\"0.08\", expect_size=\"24580096\"] \n  20 [size=\"48564224\", alpha=\"0.09\", expect_size=\"24282112\"] \n  20 -> 23 [size =\"24282112\"]\n  20 -> 24 [size =\"24282112\"]\n  21 [size=\"38285312\", alpha=\"0.07\", expect_size=\"19142656\"] \n  22 [size=\"52127744\", alpha=\"0.16\", expect_size=\"26063872\"] \n  22 -> 24 [size =\"26063872\"]\n  23 [size=\"39380992\", alpha=\"0.20\", expect_size=\"19690496\"] \n  23 -> 25 [size =\"19690496\"]\n  24 [size=\"18251776\", alpha=\"0.10\", expect_size=\"9125888\"] \n  24 -> 26 [size =\"9125888\"]\n  25 [size=\"23771136\", alpha=\"0.19\", expect_size=\"11885568\"] \n  25 -> 27 [size =\"11885568\"]\n  25 -> 29 [size =\"11885568\"]\n  26 [size=\"26675200\", alpha=\"0.12\", expect_size=\"13337600\"] \n  26 -> 27 [size =\"13337600\"]\n  26 -> 28 [size =\"13337600\"]\n  26 -> 29 [size =\"13337600\"]\n  27 [size=\"61677568\", alpha=\"0.08\", expect_size=\"30838784\"] \n  28 [size=\"96370688\", alpha=\"0.13\", expect_size=\"48185344\"] \n  28 -> 31 [size =\"48185344\"]\n  29 [size=\"85882880\", alpha=\"0.06\", expect_size=\"42941440\"] \n  29 -> 30 [size =\"42941440\"]\n  30 [size=\"30826496\", alpha=\"0.06\", expect_size=\"15413248\"] \n  30 -> 32 [size =\"15413248\"]\n  30 -> 33 [size =\"15413248\"]\n  30 -> 34 [size =\"15413248\"]\n  30 -> 35 [size =\"15413248\"]\n  31 [size=\"75075584\", alpha=\"0.04\", expect_size=\"37537792\"] \n  32 [size=\"15546368\", alpha=\"0.06\", expect_size=\"7773184\"] \n  33 [size=\"89397248\", alpha=\"0.08\", expect_size=\"44698624\"] \n  34 [size=\"87668736\", alpha=\"0.12\", expect_size=\"43834368\"] \n  35 [size=\"40939520\", alpha=\"0.17\", expect_size=\"20469760\"] \n  35 -> 36 [size =\"20469760\"]\n  36 [size=\"36153344\", alpha=\"0.08\", expect_size=\"18076672\"] \n  36 -> 37 [size =\"18076672\"]\n  36 -> 38 [size =\"18076672\"]\n  37 [size=\"92901376\", alpha=\"0.06\", expect_size=\"46450688\"] \n  37 -> 39 [size =\"46450688\"]\n  37 -> 40 [size =\"46450688\"]\n  37 -> 42 [size =\"46450688\"]\n  38 [size=\"37619712\", alpha=\"0.16\", expect_size=\"18809856\"] \n  38 -> 40 [size =\"18809856\"]\n  38 -> 41 [size =\"18809856\"]\n  39 [size=\"99618816\", alpha=\"0.13\", expect_size=\"49809408\"] \n  39 -> 44 [size =\"49809408\"]\n  40 [size=\"32882688\", alpha=\"0.19\", expect_size=\"16441344\"] \n  40 -> 43 [size =\"16441344\"]\n  40 -> 44 [size =\"16441344\"]\n  41 [size=\"60456960\", alpha=\"0.11\", expect_size=\"30228480\"] \n  42 [size=\"79136768\", alpha=\"0.12\", expect_size=\"39568384\"] \n  42 -> 43 [size =\"39568384\"]\n  42 -> 45 [size =\"39568384\"]\n  43 [size=\"12564480\", alpha=\"0.18\", expect_size=\"6282240\"] \n  43 -> 46 [size =\"6282240\"]\n  43 -> 48 [size =\"6282240\"]\n  44 [size=\"49029120\", alpha=\"0.07\", expect_size=\"24514560\"] \n  44 -> 48 [size =\"24514560\"]\n  44 -> 49 [size =\"24514560\"]\n  45 [size=\"11614208\", alpha=\"0.18\", expect_size=\"5807104\"] \n  45 -> 46 [size =\"5807104\"]\n  45 -> 47 [size =\"5807104\"]\n  45 -> 49 [size =\"5807104\"]\n  46 [size=\"91340800\", alpha=\"0.12\", expect_size=\"45670400\"] \n  46 -> 50 [size =\"45670400\"]\n  47 [size=\"36888576\", alpha=\"0.18\", expect_size=\"18444288\"] \n  48 [size=\"64796672\", alpha=\"0.02\", expect_size=\"32398336\"] \n  49 [size=\"43685888\", alpha=\"0.01\", expect_size=\"21842944\"] \n  49 -> 50 [size =\"21842944\"]\n  50 [size=\"12230656\", alpha=\"0.05\", expect_size=\"6115328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.763.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60389376\", alpha=\"0.15\", expect_size=\"30194688\"] \n  1 -> 32 [size =\"30194688\"]\n  1 -> 36 [size =\"30194688\"]\n  1 -> 37 [size =\"30194688\"]\n  1 -> 40 [size =\"30194688\"]\n  1 -> 43 [size =\"30194688\"]\n  1 -> 44 [size =\"30194688\"]\n  1 -> 45 [size =\"30194688\"]\n  1 -> 47 [size =\"30194688\"]\n  1 -> 50 [size =\"30194688\"]\n  2 [size=\"19683328\", alpha=\"0.05\", expect_size=\"9841664\"] \n  2 -> 32 [size =\"9841664\"]\n  2 -> 35 [size =\"9841664\"]\n  2 -> 37 [size =\"9841664\"]\n  2 -> 45 [size =\"9841664\"]\n  2 -> 48 [size =\"9841664\"]\n  2 -> 49 [size =\"9841664\"]\n  2 -> 50 [size =\"9841664\"]\n  3 [size=\"55799808\", alpha=\"0.01\", expect_size=\"27899904\"] \n  3 -> 35 [size =\"27899904\"]\n  3 -> 37 [size =\"27899904\"]\n  3 -> 43 [size =\"27899904\"]\n  3 -> 45 [size =\"27899904\"]\n  4 [size=\"41486336\", alpha=\"0.02\", expect_size=\"20743168\"] \n  4 -> 33 [size =\"20743168\"]\n  4 -> 34 [size =\"20743168\"]\n  4 -> 40 [size =\"20743168\"]\n  4 -> 42 [size =\"20743168\"]\n  4 -> 45 [size =\"20743168\"]\n  4 -> 46 [size =\"20743168\"]\n  4 -> 48 [size =\"20743168\"]\n  5 [size=\"75991040\", alpha=\"0.18\", expect_size=\"37995520\"] \n  5 -> 32 [size =\"37995520\"]\n  5 -> 34 [size =\"37995520\"]\n  5 -> 36 [size =\"37995520\"]\n  5 -> 40 [size =\"37995520\"]\n  5 -> 43 [size =\"37995520\"]\n  5 -> 45 [size =\"37995520\"]\n  5 -> 46 [size =\"37995520\"]\n  5 -> 47 [size =\"37995520\"]\n  5 -> 50 [size =\"37995520\"]\n  6 [size=\"100018176\", alpha=\"0.04\", expect_size=\"50009088\"] \n  6 -> 38 [size =\"50009088\"]\n  6 -> 40 [size =\"50009088\"]\n  6 -> 42 [size =\"50009088\"]\n  6 -> 45 [size =\"50009088\"]\n  6 -> 50 [size =\"50009088\"]\n  7 [size=\"50821120\", alpha=\"0.19\", expect_size=\"25410560\"] \n  7 -> 34 [size =\"25410560\"]\n  7 -> 45 [size =\"25410560\"]\n  7 -> 47 [size =\"25410560\"]\n  8 [size=\"104153088\", alpha=\"0.15\", expect_size=\"52076544\"] \n  8 -> 32 [size =\"52076544\"]\n  8 -> 42 [size =\"52076544\"]\n  8 -> 45 [size =\"52076544\"]\n  8 -> 46 [size =\"52076544\"]\n  8 -> 50 [size =\"52076544\"]\n  9 [size=\"45264896\", alpha=\"0.01\", expect_size=\"22632448\"] \n  9 -> 32 [size =\"22632448\"]\n  9 -> 35 [size =\"22632448\"]\n  9 -> 39 [size =\"22632448\"]\n  9 -> 43 [size =\"22632448\"]\n  9 -> 46 [size =\"22632448\"]\n  9 -> 49 [size =\"22632448\"]\n  9 -> 50 [size =\"22632448\"]\n  10 [size=\"53393408\", alpha=\"0.07\", expect_size=\"26696704\"] \n  10 -> 34 [size =\"26696704\"]\n  10 -> 40 [size =\"26696704\"]\n  10 -> 41 [size =\"26696704\"]\n  10 -> 45 [size =\"26696704\"]\n  10 -> 47 [size =\"26696704\"]\n  10 -> 50 [size =\"26696704\"]\n  10 -> 50 [size =\"26696704\"]\n  11 [size=\"102836224\", alpha=\"0.16\", expect_size=\"51418112\"] \n  11 -> 33 [size =\"51418112\"]\n  11 -> 34 [size =\"51418112\"]\n  11 -> 36 [size =\"51418112\"]\n  11 -> 37 [size =\"51418112\"]\n  11 -> 41 [size =\"51418112\"]\n  11 -> 42 [size =\"51418112\"]\n  11 -> 47 [size =\"51418112\"]\n  11 -> 48 [size =\"51418112\"]\n  12 [size=\"78770176\", alpha=\"0.10\", expect_size=\"39385088\"] \n  12 -> 34 [size =\"39385088\"]\n  12 -> 36 [size =\"39385088\"]\n  12 -> 37 [size =\"39385088\"]\n  12 -> 37 [size =\"39385088\"]\n  12 -> 40 [size =\"39385088\"]\n  12 -> 45 [size =\"39385088\"]\n  12 -> 47 [size =\"39385088\"]\n  12 -> 50 [size =\"39385088\"]\n  13 [size=\"103051264\", alpha=\"0.09\", expect_size=\"51525632\"] \n  13 -> 34 [size =\"51525632\"]\n  13 -> 40 [size =\"51525632\"]\n  13 -> 46 [size =\"51525632\"]\n  13 -> 49 [size =\"51525632\"]\n  13 -> 50 [size =\"51525632\"]\n  14 [size=\"13953024\", alpha=\"0.04\", expect_size=\"6976512\"] \n  14 -> 34 [size =\"6976512\"]\n  14 -> 35 [size =\"6976512\"]\n  14 -> 40 [size =\"6976512\"]\n  14 -> 41 [size =\"6976512\"]\n  14 -> 45 [size =\"6976512\"]\n  14 -> 46 [size =\"6976512\"]\n  14 -> 48 [size =\"6976512\"]\n  15 [size=\"25704448\", alpha=\"0.02\", expect_size=\"12852224\"] \n  15 -> 32 [size =\"12852224\"]\n  15 -> 34 [size =\"12852224\"]\n  15 -> 36 [size =\"12852224\"]\n  15 -> 38 [size =\"12852224\"]\n  15 -> 39 [size =\"12852224\"]\n  15 -> 40 [size =\"12852224\"]\n  15 -> 46 [size =\"12852224\"]\n  15 -> 47 [size =\"12852224\"]\n  15 -> 49 [size =\"12852224\"]\n  15 -> 50 [size =\"12852224\"]\n  16 [size=\"16707584\", alpha=\"0.01\", expect_size=\"8353792\"] \n  16 -> 32 [size =\"8353792\"]\n  16 -> 34 [size =\"8353792\"]\n  16 -> 36 [size =\"8353792\"]\n  16 -> 41 [size =\"8353792\"]\n  16 -> 42 [size =\"8353792\"]\n  16 -> 43 [size =\"8353792\"]\n  16 -> 46 [size =\"8353792\"]\n  16 -> 48 [size =\"8353792\"]\n  16 -> 49 [size =\"8353792\"]\n  16 -> 50 [size =\"8353792\"]\n  17 [size=\"34787328\", alpha=\"0.10\", expect_size=\"17393664\"] \n  17 -> 34 [size =\"17393664\"]\n  17 -> 34 [size =\"17393664\"]\n  17 -> 36 [size =\"17393664\"]\n  17 -> 37 [size =\"17393664\"]\n  17 -> 39 [size =\"17393664\"]\n  17 -> 41 [size =\"17393664\"]\n  17 -> 43 [size =\"17393664\"]\n  17 -> 44 [size =\"17393664\"]\n  17 -> 45 [size =\"17393664\"]\n  18 [size=\"29317120\", alpha=\"0.15\", expect_size=\"14658560\"] \n  18 -> 35 [size =\"14658560\"]\n  18 -> 36 [size =\"14658560\"]\n  18 -> 36 [size =\"14658560\"]\n  18 -> 48 [size =\"14658560\"]\n  18 -> 50 [size =\"14658560\"]\n  19 [size=\"102158336\", alpha=\"0.17\", expect_size=\"51079168\"] \n  19 -> 35 [size =\"51079168\"]\n  19 -> 37 [size =\"51079168\"]\n  19 -> 38 [size =\"51079168\"]\n  19 -> 48 [size =\"51079168\"]\n  20 [size=\"11712512\", alpha=\"0.10\", expect_size=\"5856256\"] \n  20 -> 37 [size =\"5856256\"]\n  20 -> 38 [size =\"5856256\"]\n  20 -> 44 [size =\"5856256\"]\n  20 -> 47 [size =\"5856256\"]\n  20 -> 48 [size =\"5856256\"]\n  20 -> 50 [size =\"5856256\"]\n  21 [size=\"45830144\", alpha=\"0.14\", expect_size=\"22915072\"] \n  21 -> 37 [size =\"22915072\"]\n  21 -> 44 [size =\"22915072\"]\n  21 -> 46 [size =\"22915072\"]\n  21 -> 48 [size =\"22915072\"]\n  22 [size=\"26511360\", alpha=\"0.00\", expect_size=\"13255680\"] \n  22 -> 37 [size =\"13255680\"]\n  22 -> 38 [size =\"13255680\"]\n  22 -> 40 [size =\"13255680\"]\n  22 -> 43 [size =\"13255680\"]\n  22 -> 48 [size =\"13255680\"]\n  22 -> 50 [size =\"13255680\"]\n  23 [size=\"71745536\", alpha=\"0.16\", expect_size=\"35872768\"] \n  23 -> 33 [size =\"35872768\"]\n  23 -> 35 [size =\"35872768\"]\n  23 -> 37 [size =\"35872768\"]\n  23 -> 40 [size =\"35872768\"]\n  23 -> 45 [size =\"35872768\"]\n  23 -> 46 [size =\"35872768\"]\n  23 -> 48 [size =\"35872768\"]\n  23 -> 50 [size =\"35872768\"]\n  24 [size=\"17797120\", alpha=\"0.18\", expect_size=\"8898560\"] \n  24 -> 33 [size =\"8898560\"]\n  24 -> 35 [size =\"8898560\"]\n  24 -> 36 [size =\"8898560\"]\n  24 -> 37 [size =\"8898560\"]\n  24 -> 40 [size =\"8898560\"]\n  24 -> 41 [size =\"8898560\"]\n  24 -> 43 [size =\"8898560\"]\n  24 -> 46 [size =\"8898560\"]\n  24 -> 48 [size =\"8898560\"]\n  25 [size=\"37353472\", alpha=\"0.14\", expect_size=\"18676736\"] \n  25 -> 33 [size =\"18676736\"]\n  25 -> 35 [size =\"18676736\"]\n  25 -> 36 [size =\"18676736\"]\n  25 -> 38 [size =\"18676736\"]\n  25 -> 40 [size =\"18676736\"]\n  25 -> 41 [size =\"18676736\"]\n  25 -> 43 [size =\"18676736\"]\n  25 -> 48 [size =\"18676736\"]\n  25 -> 48 [size =\"18676736\"]\n  26 [size=\"47994880\", alpha=\"0.09\", expect_size=\"23997440\"] \n  26 -> 38 [size =\"23997440\"]\n  26 -> 41 [size =\"23997440\"]\n  26 -> 43 [size =\"23997440\"]\n  26 -> 46 [size =\"23997440\"]\n  26 -> 47 [size =\"23997440\"]\n  26 -> 48 [size =\"23997440\"]\n  27 [size=\"53809152\", alpha=\"0.13\", expect_size=\"26904576\"] \n  27 -> 34 [size =\"26904576\"]\n  27 -> 35 [size =\"26904576\"]\n  27 -> 37 [size =\"26904576\"]\n  27 -> 47 [size =\"26904576\"]\n  27 -> 50 [size =\"26904576\"]\n  28 [size=\"98963456\", alpha=\"0.16\", expect_size=\"49481728\"] \n  28 -> 33 [size =\"49481728\"]\n  28 -> 34 [size =\"49481728\"]\n  28 -> 37 [size =\"49481728\"]\n  28 -> 43 [size =\"49481728\"]\n  28 -> 45 [size =\"49481728\"]\n  28 -> 47 [size =\"49481728\"]\n  28 -> 50 [size =\"49481728\"]\n  29 [size=\"77367296\", alpha=\"0.07\", expect_size=\"38683648\"] \n  29 -> 32 [size =\"38683648\"]\n  29 -> 34 [size =\"38683648\"]\n  29 -> 43 [size =\"38683648\"]\n  29 -> 44 [size =\"38683648\"]\n  29 -> 45 [size =\"38683648\"]\n  29 -> 50 [size =\"38683648\"]\n  30 [size=\"61136896\", alpha=\"0.07\", expect_size=\"30568448\"] \n  30 -> 32 [size =\"30568448\"]\n  30 -> 37 [size =\"30568448\"]\n  30 -> 38 [size =\"30568448\"]\n  30 -> 40 [size =\"30568448\"]\n  30 -> 43 [size =\"30568448\"]\n  30 -> 44 [size =\"30568448\"]\n  30 -> 45 [size =\"30568448\"]\n  30 -> 46 [size =\"30568448\"]\n  31 [size=\"14155776\", alpha=\"0.06\", expect_size=\"7077888\"] \n  31 -> 34 [size =\"7077888\"]\n  31 -> 35 [size =\"7077888\"]\n  31 -> 37 [size =\"7077888\"]\n  31 -> 40 [size =\"7077888\"]\n  31 -> 43 [size =\"7077888\"]\n  31 -> 45 [size =\"7077888\"]\n  31 -> 45 [size =\"7077888\"]\n  31 -> 46 [size =\"7077888\"]\n  32 [size=\"80697344\", alpha=\"0.00\", expect_size=\"40348672\"] \n  33 [size=\"81219584\", alpha=\"0.14\", expect_size=\"40609792\"] \n  34 [size=\"61038592\", alpha=\"0.08\", expect_size=\"30519296\"] \n  35 [size=\"51154944\", alpha=\"0.06\", expect_size=\"25577472\"] \n  36 [size=\"22704128\", alpha=\"0.04\", expect_size=\"11352064\"] \n  37 [size=\"65220608\", alpha=\"0.08\", expect_size=\"32610304\"] \n  38 [size=\"30294016\", alpha=\"0.16\", expect_size=\"15147008\"] \n  39 [size=\"11593728\", alpha=\"0.04\", expect_size=\"5796864\"] \n  40 [size=\"43902976\", alpha=\"0.11\", expect_size=\"21951488\"] \n  41 [size=\"75759616\", alpha=\"0.07\", expect_size=\"37879808\"] \n  42 [size=\"10766336\", alpha=\"0.05\", expect_size=\"5383168\"] \n  43 [size=\"11587584\", alpha=\"0.17\", expect_size=\"5793792\"] \n  44 [size=\"76412928\", alpha=\"0.10\", expect_size=\"38206464\"] \n  45 [size=\"19972096\", alpha=\"0.09\", expect_size=\"9986048\"] \n  46 [size=\"46225408\", alpha=\"0.15\", expect_size=\"23112704\"] \n  47 [size=\"67022848\", alpha=\"0.11\", expect_size=\"33511424\"] \n  48 [size=\"12298240\", alpha=\"0.06\", expect_size=\"6149120\"] \n  49 [size=\"89626624\", alpha=\"0.15\", expect_size=\"44813312\"] \n  50 [size=\"13195264\", alpha=\"0.14\", expect_size=\"6597632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.764.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23013376\", alpha=\"0.02\", expect_size=\"11506688\"] \n  1 -> 37 [size =\"11506688\"]\n  1 -> 47 [size =\"11506688\"]\n  2 [size=\"61204480\", alpha=\"0.07\", expect_size=\"30602240\"] \n  2 -> 30 [size =\"30602240\"]\n  2 -> 33 [size =\"30602240\"]\n  2 -> 41 [size =\"30602240\"]\n  2 -> 43 [size =\"30602240\"]\n  2 -> 44 [size =\"30602240\"]\n  2 -> 45 [size =\"30602240\"]\n  3 [size=\"18892800\", alpha=\"0.01\", expect_size=\"9446400\"] \n  3 -> 32 [size =\"9446400\"]\n  3 -> 33 [size =\"9446400\"]\n  3 -> 38 [size =\"9446400\"]\n  3 -> 41 [size =\"9446400\"]\n  3 -> 43 [size =\"9446400\"]\n  3 -> 45 [size =\"9446400\"]\n  4 [size=\"24619008\", alpha=\"0.14\", expect_size=\"12309504\"] \n  4 -> 33 [size =\"12309504\"]\n  4 -> 35 [size =\"12309504\"]\n  4 -> 36 [size =\"12309504\"]\n  4 -> 37 [size =\"12309504\"]\n  4 -> 43 [size =\"12309504\"]\n  4 -> 45 [size =\"12309504\"]\n  5 [size=\"74113024\", alpha=\"0.15\", expect_size=\"37056512\"] \n  5 -> 38 [size =\"37056512\"]\n  5 -> 43 [size =\"37056512\"]\n  5 -> 45 [size =\"37056512\"]\n  5 -> 46 [size =\"37056512\"]\n  5 -> 48 [size =\"37056512\"]\n  6 [size=\"102352896\", alpha=\"0.00\", expect_size=\"51176448\"] \n  6 -> 32 [size =\"51176448\"]\n  6 -> 36 [size =\"51176448\"]\n  6 -> 41 [size =\"51176448\"]\n  6 -> 45 [size =\"51176448\"]\n  6 -> 46 [size =\"51176448\"]\n  7 [size=\"64040960\", alpha=\"0.17\", expect_size=\"32020480\"] \n  7 -> 30 [size =\"32020480\"]\n  7 -> 31 [size =\"32020480\"]\n  7 -> 41 [size =\"32020480\"]\n  7 -> 45 [size =\"32020480\"]\n  8 [size=\"79294464\", alpha=\"0.14\", expect_size=\"39647232\"] \n  8 -> 30 [size =\"39647232\"]\n  8 -> 31 [size =\"39647232\"]\n  8 -> 33 [size =\"39647232\"]\n  8 -> 44 [size =\"39647232\"]\n  8 -> 46 [size =\"39647232\"]\n  9 [size=\"84205568\", alpha=\"0.14\", expect_size=\"42102784\"] \n  9 -> 31 [size =\"42102784\"]\n  9 -> 31 [size =\"42102784\"]\n  9 -> 33 [size =\"42102784\"]\n  9 -> 44 [size =\"42102784\"]\n  9 -> 46 [size =\"42102784\"]\n  10 [size=\"64651264\", alpha=\"0.15\", expect_size=\"32325632\"] \n  10 -> 31 [size =\"32325632\"]\n  10 -> 33 [size =\"32325632\"]\n  10 -> 35 [size =\"32325632\"]\n  10 -> 37 [size =\"32325632\"]\n  10 -> 43 [size =\"32325632\"]\n  10 -> 46 [size =\"32325632\"]\n  11 [size=\"50333696\", alpha=\"0.17\", expect_size=\"25166848\"] \n  11 -> 31 [size =\"25166848\"]\n  11 -> 39 [size =\"25166848\"]\n  11 -> 40 [size =\"25166848\"]\n  11 -> 41 [size =\"25166848\"]\n  11 -> 43 [size =\"25166848\"]\n  12 [size=\"60803072\", alpha=\"0.05\", expect_size=\"30401536\"] \n  12 -> 30 [size =\"30401536\"]\n  12 -> 31 [size =\"30401536\"]\n  12 -> 32 [size =\"30401536\"]\n  12 -> 34 [size =\"30401536\"]\n  12 -> 37 [size =\"30401536\"]\n  12 -> 39 [size =\"30401536\"]\n  12 -> 41 [size =\"30401536\"]\n  13 [size=\"93345792\", alpha=\"0.17\", expect_size=\"46672896\"] \n  13 -> 30 [size =\"46672896\"]\n  13 -> 34 [size =\"46672896\"]\n  13 -> 39 [size =\"46672896\"]\n  13 -> 40 [size =\"46672896\"]\n  13 -> 41 [size =\"46672896\"]\n  13 -> 44 [size =\"46672896\"]\n  13 -> 48 [size =\"46672896\"]\n  14 [size=\"100128768\", alpha=\"0.09\", expect_size=\"50064384\"] \n  14 -> 30 [size =\"50064384\"]\n  14 -> 31 [size =\"50064384\"]\n  14 -> 32 [size =\"50064384\"]\n  14 -> 33 [size =\"50064384\"]\n  14 -> 38 [size =\"50064384\"]\n  14 -> 40 [size =\"50064384\"]\n  14 -> 48 [size =\"50064384\"]\n  15 [size=\"74139648\", alpha=\"0.05\", expect_size=\"37069824\"] \n  15 -> 30 [size =\"37069824\"]\n  15 -> 36 [size =\"37069824\"]\n  15 -> 41 [size =\"37069824\"]\n  15 -> 48 [size =\"37069824\"]\n  16 [size=\"51857408\", alpha=\"0.02\", expect_size=\"25928704\"] \n  16 -> 30 [size =\"25928704\"]\n  16 -> 32 [size =\"25928704\"]\n  16 -> 42 [size =\"25928704\"]\n  16 -> 45 [size =\"25928704\"]\n  16 -> 47 [size =\"25928704\"]\n  16 -> 48 [size =\"25928704\"]\n  17 [size=\"52860928\", alpha=\"0.12\", expect_size=\"26430464\"] \n  17 -> 30 [size =\"26430464\"]\n  17 -> 34 [size =\"26430464\"]\n  17 -> 36 [size =\"26430464\"]\n  17 -> 40 [size =\"26430464\"]\n  17 -> 42 [size =\"26430464\"]\n  17 -> 47 [size =\"26430464\"]\n  18 [size=\"37978112\", alpha=\"0.07\", expect_size=\"18989056\"] \n  18 -> 32 [size =\"18989056\"]\n  18 -> 36 [size =\"18989056\"]\n  18 -> 41 [size =\"18989056\"]\n  18 -> 43 [size =\"18989056\"]\n  18 -> 45 [size =\"18989056\"]\n  18 -> 46 [size =\"18989056\"]\n  18 -> 47 [size =\"18989056\"]\n  19 [size=\"11960320\", alpha=\"0.06\", expect_size=\"5980160\"] \n  19 -> 30 [size =\"5980160\"]\n  19 -> 32 [size =\"5980160\"]\n  19 -> 35 [size =\"5980160\"]\n  19 -> 45 [size =\"5980160\"]\n  19 -> 46 [size =\"5980160\"]\n  19 -> 47 [size =\"5980160\"]\n  19 -> 47 [size =\"5980160\"]\n  20 [size=\"79861760\", alpha=\"0.14\", expect_size=\"39930880\"] \n  20 -> 30 [size =\"39930880\"]\n  20 -> 32 [size =\"39930880\"]\n  20 -> 36 [size =\"39930880\"]\n  20 -> 38 [size =\"39930880\"]\n  20 -> 39 [size =\"39930880\"]\n  20 -> 44 [size =\"39930880\"]\n  21 [size=\"56741888\", alpha=\"0.05\", expect_size=\"28370944\"] \n  21 -> 30 [size =\"28370944\"]\n  21 -> 37 [size =\"28370944\"]\n  21 -> 39 [size =\"28370944\"]\n  21 -> 40 [size =\"28370944\"]\n  21 -> 41 [size =\"28370944\"]\n  21 -> 43 [size =\"28370944\"]\n  22 [size=\"40476672\", alpha=\"0.06\", expect_size=\"20238336\"] \n  22 -> 30 [size =\"20238336\"]\n  22 -> 32 [size =\"20238336\"]\n  22 -> 35 [size =\"20238336\"]\n  22 -> 36 [size =\"20238336\"]\n  22 -> 40 [size =\"20238336\"]\n  23 [size=\"62388224\", alpha=\"0.09\", expect_size=\"31194112\"] \n  23 -> 30 [size =\"31194112\"]\n  23 -> 32 [size =\"31194112\"]\n  23 -> 33 [size =\"31194112\"]\n  23 -> 40 [size =\"31194112\"]\n  23 -> 43 [size =\"31194112\"]\n  23 -> 44 [size =\"31194112\"]\n  23 -> 45 [size =\"31194112\"]\n  24 [size=\"48107520\", alpha=\"0.15\", expect_size=\"24053760\"] \n  24 -> 32 [size =\"24053760\"]\n  24 -> 36 [size =\"24053760\"]\n  24 -> 40 [size =\"24053760\"]\n  24 -> 44 [size =\"24053760\"]\n  24 -> 45 [size =\"24053760\"]\n  24 -> 46 [size =\"24053760\"]\n  24 -> 49 [size =\"24053760\"]\n  25 [size=\"88506368\", alpha=\"0.15\", expect_size=\"44253184\"] \n  25 -> 41 [size =\"44253184\"]\n  25 -> 44 [size =\"44253184\"]\n  25 -> 45 [size =\"44253184\"]\n  25 -> 48 [size =\"44253184\"]\n  25 -> 50 [size =\"44253184\"]\n  26 [size=\"17764352\", alpha=\"0.14\", expect_size=\"8882176\"] \n  26 -> 30 [size =\"8882176\"]\n  26 -> 32 [size =\"8882176\"]\n  26 -> 40 [size =\"8882176\"]\n  26 -> 41 [size =\"8882176\"]\n  26 -> 44 [size =\"8882176\"]\n  26 -> 45 [size =\"8882176\"]\n  27 [size=\"25577472\", alpha=\"0.05\", expect_size=\"12788736\"] \n  27 -> 31 [size =\"12788736\"]\n  27 -> 34 [size =\"12788736\"]\n  27 -> 35 [size =\"12788736\"]\n  27 -> 38 [size =\"12788736\"]\n  27 -> 41 [size =\"12788736\"]\n  27 -> 42 [size =\"12788736\"]\n  28 [size=\"82649088\", alpha=\"0.10\", expect_size=\"41324544\"] \n  28 -> 31 [size =\"41324544\"]\n  28 -> 33 [size =\"41324544\"]\n  28 -> 43 [size =\"41324544\"]\n  29 [size=\"21555200\", alpha=\"0.10\", expect_size=\"10777600\"] \n  29 -> 31 [size =\"10777600\"]\n  29 -> 32 [size =\"10777600\"]\n  29 -> 33 [size =\"10777600\"]\n  29 -> 44 [size =\"10777600\"]\n  30 [size=\"49459200\", alpha=\"0.03\", expect_size=\"24729600\"] \n  31 [size=\"20770816\", alpha=\"0.03\", expect_size=\"10385408\"] \n  32 [size=\"42391552\", alpha=\"0.15\", expect_size=\"21195776\"] \n  33 [size=\"70666240\", alpha=\"0.03\", expect_size=\"35333120\"] \n  34 [size=\"19636224\", alpha=\"0.11\", expect_size=\"9818112\"] \n  35 [size=\"92176384\", alpha=\"0.13\", expect_size=\"46088192\"] \n  36 [size=\"68802560\", alpha=\"0.03\", expect_size=\"34401280\"] \n  37 [size=\"41381888\", alpha=\"0.02\", expect_size=\"20690944\"] \n  38 [size=\"63469568\", alpha=\"0.07\", expect_size=\"31734784\"] \n  39 [size=\"15130624\", alpha=\"0.12\", expect_size=\"7565312\"] \n  40 [size=\"64458752\", alpha=\"0.12\", expect_size=\"32229376\"] \n  41 [size=\"76873728\", alpha=\"0.02\", expect_size=\"38436864\"] \n  42 [size=\"92227584\", alpha=\"0.18\", expect_size=\"46113792\"] \n  43 [size=\"66461696\", alpha=\"0.05\", expect_size=\"33230848\"] \n  44 [size=\"82440192\", alpha=\"0.20\", expect_size=\"41220096\"] \n  45 [size=\"41060352\", alpha=\"0.11\", expect_size=\"20530176\"] \n  46 [size=\"100349952\", alpha=\"0.04\", expect_size=\"50174976\"] \n  47 [size=\"18567168\", alpha=\"0.01\", expect_size=\"9283584\"] \n  48 [size=\"26828800\", alpha=\"0.12\", expect_size=\"13414400\"] \n  49 [size=\"58259456\", alpha=\"0.06\", expect_size=\"29129728\"] \n  50 [size=\"19959808\", alpha=\"0.09\", expect_size=\"9979904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.765.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62177280\", alpha=\"0.19\", expect_size=\"18653184\"] \n  1 -> 7 [size =\"18653184\"]\n  1 -> 8 [size =\"18653184\"]\n  2 [size=\"77243733\", alpha=\"0.03\", expect_size=\"23173120\"] \n  2 -> 6 [size =\"23173120\"]\n  2 -> 7 [size =\"23173120\"]\n  2 -> 8 [size =\"23173120\"]\n  2 -> 10 [size =\"23173120\"]\n  2 -> 11 [size =\"23173120\"]\n  2 -> 12 [size =\"23173120\"]\n  3 [size=\"133737813\", alpha=\"0.10\", expect_size=\"40121344\"] \n  3 -> 10 [size =\"40121344\"]\n  3 -> 12 [size =\"40121344\"]\n  4 [size=\"130109440\", alpha=\"0.14\", expect_size=\"39032832\"] \n  4 -> 8 [size =\"39032832\"]\n  4 -> 9 [size =\"39032832\"]\n  4 -> 10 [size =\"39032832\"]\n  4 -> 11 [size =\"39032832\"]\n  5 [size=\"116135253\", alpha=\"0.09\", expect_size=\"34840576\"] \n  5 -> 6 [size =\"34840576\"]\n  5 -> 9 [size =\"34840576\"]\n  5 -> 10 [size =\"34840576\"]\n  6 [size=\"128116053\", alpha=\"0.14\", expect_size=\"38434816\"] \n  6 -> 13 [size =\"38434816\"]\n  7 [size=\"148005547\", alpha=\"0.04\", expect_size=\"44401664\"] \n  7 -> 13 [size =\"44401664\"]\n  7 -> 15 [size =\"44401664\"]\n  7 -> 16 [size =\"44401664\"]\n  8 [size=\"37539840\", alpha=\"0.17\", expect_size=\"11261952\"] \n  8 -> 13 [size =\"11261952\"]\n  8 -> 14 [size =\"11261952\"]\n  8 -> 15 [size =\"11261952\"]\n  8 -> 16 [size =\"11261952\"]\n  8 -> 17 [size =\"11261952\"]\n  9 [size=\"153507840\", alpha=\"0.07\", expect_size=\"46052352\"] \n  10 [size=\"71451307\", alpha=\"0.06\", expect_size=\"21435392\"] \n  10 -> 14 [size =\"21435392\"]\n  10 -> 17 [size =\"21435392\"]\n  10 -> 19 [size =\"21435392\"]\n  11 [size=\"102789120\", alpha=\"0.08\", expect_size=\"30836736\"] \n  11 -> 13 [size =\"30836736\"]\n  11 -> 15 [size =\"30836736\"]\n  12 [size=\"98488320\", alpha=\"0.14\", expect_size=\"29546496\"] \n  12 -> 13 [size =\"29546496\"]\n  12 -> 14 [size =\"29546496\"]\n  12 -> 15 [size =\"29546496\"]\n  12 -> 18 [size =\"29546496\"]\n  13 [size=\"123108693\", alpha=\"0.07\", expect_size=\"36932608\"] \n  13 -> 23 [size =\"36932608\"]\n  14 [size=\"44625920\", alpha=\"0.13\", expect_size=\"13387776\"] \n  15 [size=\"156491093\", alpha=\"0.08\", expect_size=\"46947328\"] \n  15 -> 20 [size =\"46947328\"]\n  15 -> 21 [size =\"46947328\"]\n  15 -> 23 [size =\"46947328\"]\n  15 -> 24 [size =\"46947328\"]\n  16 [size=\"73181867\", alpha=\"0.02\", expect_size=\"21954560\"] \n  16 -> 21 [size =\"21954560\"]\n  16 -> 21 [size =\"21954560\"]\n  16 -> 22 [size =\"21954560\"]\n  16 -> 24 [size =\"21954560\"]\n  17 [size=\"25934507\", alpha=\"0.20\", expect_size=\"7780352\"] \n  17 -> 21 [size =\"7780352\"]\n  17 -> 23 [size =\"7780352\"]\n  18 [size=\"57466880\", alpha=\"0.03\", expect_size=\"17240064\"] \n  18 -> 23 [size =\"17240064\"]\n  19 [size=\"37775360\", alpha=\"0.10\", expect_size=\"11332608\"] \n  20 [size=\"93395627\", alpha=\"0.00\", expect_size=\"28018688\"] \n  20 -> 25 [size =\"28018688\"]\n  20 -> 28 [size =\"28018688\"]\n  20 -> 29 [size =\"28018688\"]\n  21 [size=\"138734933\", alpha=\"0.16\", expect_size=\"41620480\"] \n  21 -> 26 [size =\"41620480\"]\n  22 [size=\"41018027\", alpha=\"0.19\", expect_size=\"12305408\"] \n  22 -> 25 [size =\"12305408\"]\n  22 -> 27 [size =\"12305408\"]\n  22 -> 29 [size =\"12305408\"]\n  23 [size=\"152118613\", alpha=\"0.17\", expect_size=\"45635584\"] \n  23 -> 25 [size =\"45635584\"]\n  23 -> 27 [size =\"45635584\"]\n  23 -> 30 [size =\"45635584\"]\n  24 [size=\"47172267\", alpha=\"0.09\", expect_size=\"14151680\"] \n  24 -> 29 [size =\"14151680\"]\n  25 [size=\"151934293\", alpha=\"0.13\", expect_size=\"45580288\"] \n  25 -> 31 [size =\"45580288\"]\n  25 -> 33 [size =\"45580288\"]\n  26 [size=\"59549013\", alpha=\"0.12\", expect_size=\"17864704\"] \n  26 -> 33 [size =\"17864704\"]\n  26 -> 34 [size =\"17864704\"]\n  27 [size=\"74287787\", alpha=\"0.08\", expect_size=\"22286336\"] \n  27 -> 32 [size =\"22286336\"]\n  27 -> 36 [size =\"22286336\"]\n  28 [size=\"73622187\", alpha=\"0.06\", expect_size=\"22086656\"] \n  28 -> 31 [size =\"22086656\"]\n  28 -> 33 [size =\"22086656\"]\n  28 -> 34 [size =\"22086656\"]\n  28 -> 35 [size =\"22086656\"]\n  28 -> 36 [size =\"22086656\"]\n  29 [size=\"97092267\", alpha=\"0.01\", expect_size=\"29127680\"] \n  29 -> 32 [size =\"29127680\"]\n  29 -> 33 [size =\"29127680\"]\n  29 -> 35 [size =\"29127680\"]\n  29 -> 36 [size =\"29127680\"]\n  30 [size=\"20718933\", alpha=\"0.03\", expect_size=\"6215680\"] \n  30 -> 34 [size =\"6215680\"]\n  31 [size=\"21476693\", alpha=\"0.16\", expect_size=\"6443008\"] \n  31 -> 37 [size =\"6443008\"]\n  31 -> 40 [size =\"6443008\"]\n  31 -> 40 [size =\"6443008\"]\n  31 -> 41 [size =\"6443008\"]\n  32 [size=\"144069973\", alpha=\"0.19\", expect_size=\"43220992\"] \n  32 -> 38 [size =\"43220992\"]\n  32 -> 39 [size =\"43220992\"]\n  32 -> 40 [size =\"43220992\"]\n  32 -> 41 [size =\"43220992\"]\n  33 [size=\"133693440\", alpha=\"0.16\", expect_size=\"40108032\"] \n  33 -> 37 [size =\"40108032\"]\n  33 -> 38 [size =\"40108032\"]\n  33 -> 41 [size =\"40108032\"]\n  34 [size=\"106612053\", alpha=\"0.16\", expect_size=\"31983616\"] \n  34 -> 38 [size =\"31983616\"]\n  34 -> 41 [size =\"31983616\"]\n  35 [size=\"18176000\", alpha=\"0.14\", expect_size=\"5452800\"] \n  35 -> 39 [size =\"5452800\"]\n  36 [size=\"124334080\", alpha=\"0.19\", expect_size=\"37300224\"] \n  36 -> 37 [size =\"37300224\"]\n  36 -> 38 [size =\"37300224\"]\n  36 -> 40 [size =\"37300224\"]\n  37 [size=\"63866880\", alpha=\"0.05\", expect_size=\"19160064\"] \n  37 -> 44 [size =\"19160064\"]\n  38 [size=\"124593493\", alpha=\"0.16\", expect_size=\"37378048\"] \n  38 -> 42 [size =\"37378048\"]\n  38 -> 46 [size =\"37378048\"]\n  38 -> 48 [size =\"37378048\"]\n  39 [size=\"169287680\", alpha=\"0.10\", expect_size=\"50786304\"] \n  39 -> 42 [size =\"50786304\"]\n  39 -> 43 [size =\"50786304\"]\n  39 -> 45 [size =\"50786304\"]\n  39 -> 48 [size =\"50786304\"]\n  39 -> 49 [size =\"50786304\"]\n  40 [size=\"19411627\", alpha=\"0.13\", expect_size=\"5823488\"] \n  40 -> 43 [size =\"5823488\"]\n  40 -> 46 [size =\"5823488\"]\n  40 -> 49 [size =\"5823488\"]\n  41 [size=\"43516587\", alpha=\"0.12\", expect_size=\"13054976\"] \n  41 -> 43 [size =\"13054976\"]\n  41 -> 47 [size =\"13054976\"]\n  42 [size=\"169625600\", alpha=\"0.13\", expect_size=\"50887680\"] \n  43 [size=\"164184747\", alpha=\"0.12\", expect_size=\"49255424\"] \n  44 [size=\"132826453\", alpha=\"0.15\", expect_size=\"39847936\"] \n  45 [size=\"102696960\", alpha=\"0.15\", expect_size=\"30809088\"] \n  46 [size=\"55534933\", alpha=\"0.20\", expect_size=\"16660480\"] \n  46 -> 50 [size =\"16660480\"]\n  47 [size=\"47042560\", alpha=\"0.12\", expect_size=\"14112768\"] \n  48 [size=\"85681493\", alpha=\"0.11\", expect_size=\"25704448\"] \n  48 -> 50 [size =\"25704448\"]\n  49 [size=\"54152533\", alpha=\"0.01\", expect_size=\"16245760\"] \n  49 -> 50 [size =\"16245760\"]\n  50 [size=\"130044587\", alpha=\"0.11\", expect_size=\"39013376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.766.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41209173\", alpha=\"0.10\", expect_size=\"12362752\"] \n  1 -> 6 [size =\"12362752\"]\n  1 -> 7 [size =\"12362752\"]\n  2 [size=\"32208213\", alpha=\"0.07\", expect_size=\"9662464\"] \n  2 -> 5 [size =\"9662464\"]\n  2 -> 7 [size =\"9662464\"]\n  2 -> 8 [size =\"9662464\"]\n  3 [size=\"52903253\", alpha=\"0.14\", expect_size=\"15870976\"] \n  3 -> 5 [size =\"15870976\"]\n  3 -> 6 [size =\"15870976\"]\n  4 [size=\"119743147\", alpha=\"0.12\", expect_size=\"35922944\"] \n  4 -> 6 [size =\"35922944\"]\n  5 [size=\"49889280\", alpha=\"0.06\", expect_size=\"14966784\"] \n  5 -> 9 [size =\"14966784\"]\n  6 [size=\"149896533\", alpha=\"0.06\", expect_size=\"44968960\"] \n  6 -> 11 [size =\"44968960\"]\n  7 [size=\"124573013\", alpha=\"0.03\", expect_size=\"37371904\"] \n  7 -> 10 [size =\"37371904\"]\n  7 -> 12 [size =\"37371904\"]\n  8 [size=\"32658773\", alpha=\"0.13\", expect_size=\"9797632\"] \n  8 -> 11 [size =\"9797632\"]\n  9 [size=\"80626347\", alpha=\"0.05\", expect_size=\"24187904\"] \n  9 -> 15 [size =\"24187904\"]\n  9 -> 16 [size =\"24187904\"]\n  10 [size=\"47619413\", alpha=\"0.04\", expect_size=\"14285824\"] \n  10 -> 13 [size =\"14285824\"]\n  10 -> 15 [size =\"14285824\"]\n  11 [size=\"147036160\", alpha=\"0.13\", expect_size=\"44110848\"] \n  11 -> 13 [size =\"44110848\"]\n  12 [size=\"71587840\", alpha=\"0.06\", expect_size=\"21476352\"] \n  12 -> 14 [size =\"21476352\"]\n  13 [size=\"125812053\", alpha=\"0.09\", expect_size=\"37743616\"] \n  13 -> 19 [size =\"37743616\"]\n  13 -> 20 [size =\"37743616\"]\n  14 [size=\"78479360\", alpha=\"0.12\", expect_size=\"23543808\"] \n  14 -> 19 [size =\"23543808\"]\n  15 [size=\"173294933\", alpha=\"0.03\", expect_size=\"51988480\"] \n  15 -> 17 [size =\"51988480\"]\n  15 -> 18 [size =\"51988480\"]\n  15 -> 20 [size =\"51988480\"]\n  16 [size=\"64525653\", alpha=\"0.14\", expect_size=\"19357696\"] \n  17 [size=\"112479573\", alpha=\"0.01\", expect_size=\"33743872\"] \n  17 -> 22 [size =\"33743872\"]\n  18 [size=\"135594667\", alpha=\"0.06\", expect_size=\"40678400\"] \n  18 -> 21 [size =\"40678400\"]\n  18 -> 22 [size =\"40678400\"]\n  19 [size=\"83039573\", alpha=\"0.09\", expect_size=\"24911872\"] \n  20 [size=\"125252267\", alpha=\"0.06\", expect_size=\"37575680\"] \n  21 [size=\"155364693\", alpha=\"0.06\", expect_size=\"46609408\"] \n  21 -> 24 [size =\"46609408\"]\n  21 -> 25 [size =\"46609408\"]\n  21 -> 26 [size =\"46609408\"]\n  22 [size=\"103683413\", alpha=\"0.08\", expect_size=\"31105024\"] \n  22 -> 23 [size =\"31105024\"]\n  22 -> 25 [size =\"31105024\"]\n  23 [size=\"153555627\", alpha=\"0.14\", expect_size=\"46066688\"] \n  23 -> 28 [size =\"46066688\"]\n  24 [size=\"67973120\", alpha=\"0.14\", expect_size=\"20391936\"] \n  24 -> 27 [size =\"20391936\"]\n  25 [size=\"159163733\", alpha=\"0.17\", expect_size=\"47749120\"] \n  25 -> 28 [size =\"47749120\"]\n  25 -> 29 [size =\"47749120\"]\n  26 [size=\"25210880\", alpha=\"0.18\", expect_size=\"7563264\"] \n  26 -> 28 [size =\"7563264\"]\n  27 [size=\"132427093\", alpha=\"0.11\", expect_size=\"39728128\"] \n  28 [size=\"142342827\", alpha=\"0.07\", expect_size=\"42702848\"] \n  28 -> 30 [size =\"42702848\"]\n  28 -> 31 [size =\"42702848\"]\n  29 [size=\"30197760\", alpha=\"0.11\", expect_size=\"9059328\"] \n  29 -> 30 [size =\"9059328\"]\n  29 -> 31 [size =\"9059328\"]\n  30 [size=\"102406827\", alpha=\"0.19\", expect_size=\"30722048\"] \n  30 -> 32 [size =\"30722048\"]\n  30 -> 34 [size =\"30722048\"]\n  30 -> 35 [size =\"30722048\"]\n  31 [size=\"150749867\", alpha=\"0.03\", expect_size=\"45224960\"] \n  31 -> 32 [size =\"45224960\"]\n  31 -> 33 [size =\"45224960\"]\n  31 -> 35 [size =\"45224960\"]\n  32 [size=\"41680213\", alpha=\"0.14\", expect_size=\"12504064\"] \n  33 [size=\"104499200\", alpha=\"0.19\", expect_size=\"31349760\"] \n  33 -> 36 [size =\"31349760\"]\n  33 -> 37 [size =\"31349760\"]\n  34 [size=\"60067840\", alpha=\"0.12\", expect_size=\"18020352\"] \n  34 -> 37 [size =\"18020352\"]\n  34 -> 38 [size =\"18020352\"]\n  35 [size=\"167936000\", alpha=\"0.04\", expect_size=\"50380800\"] \n  35 -> 36 [size =\"50380800\"]\n  35 -> 38 [size =\"50380800\"]\n  36 [size=\"145950720\", alpha=\"0.03\", expect_size=\"43785216\"] \n  36 -> 40 [size =\"43785216\"]\n  37 [size=\"126528853\", alpha=\"0.13\", expect_size=\"37958656\"] \n  37 -> 39 [size =\"37958656\"]\n  37 -> 41 [size =\"37958656\"]\n  38 [size=\"59487573\", alpha=\"0.19\", expect_size=\"17846272\"] \n  38 -> 39 [size =\"17846272\"]\n  38 -> 40 [size =\"17846272\"]\n  39 [size=\"117292373\", alpha=\"0.13\", expect_size=\"35187712\"] \n  39 -> 43 [size =\"35187712\"]\n  39 -> 44 [size =\"35187712\"]\n  40 [size=\"48527360\", alpha=\"0.00\", expect_size=\"14558208\"] \n  40 -> 42 [size =\"14558208\"]\n  41 [size=\"40622080\", alpha=\"0.05\", expect_size=\"12186624\"] \n  41 -> 44 [size =\"12186624\"]\n  42 [size=\"65850027\", alpha=\"0.01\", expect_size=\"19755008\"] \n  42 -> 46 [size =\"19755008\"]\n  42 -> 47 [size =\"19755008\"]\n  42 -> 48 [size =\"19755008\"]\n  43 [size=\"21043200\", alpha=\"0.15\", expect_size=\"6312960\"] \n  43 -> 45 [size =\"6312960\"]\n  43 -> 46 [size =\"6312960\"]\n  43 -> 48 [size =\"6312960\"]\n  44 [size=\"171820373\", alpha=\"0.14\", expect_size=\"51546112\"] \n  44 -> 45 [size =\"51546112\"]\n  45 [size=\"107332267\", alpha=\"0.12\", expect_size=\"32199680\"] \n  46 [size=\"140680533\", alpha=\"0.11\", expect_size=\"42204160\"] \n  46 -> 49 [size =\"42204160\"]\n  47 [size=\"161634987\", alpha=\"0.04\", expect_size=\"48490496\"] \n  48 [size=\"107909120\", alpha=\"0.14\", expect_size=\"32372736\"] \n  48 -> 49 [size =\"32372736\"]\n  48 -> 50 [size =\"32372736\"]\n  49 [size=\"97628160\", alpha=\"0.05\", expect_size=\"29288448\"] \n  50 [size=\"39065600\", alpha=\"0.06\", expect_size=\"11719680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.767.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166539947\", alpha=\"0.14\", expect_size=\"49961984\"] \n  1 -> 32 [size =\"49961984\"]\n  1 -> 34 [size =\"49961984\"]\n  1 -> 35 [size =\"49961984\"]\n  1 -> 36 [size =\"49961984\"]\n  1 -> 38 [size =\"49961984\"]\n  1 -> 39 [size =\"49961984\"]\n  1 -> 40 [size =\"49961984\"]\n  1 -> 41 [size =\"49961984\"]\n  1 -> 44 [size =\"49961984\"]\n  1 -> 47 [size =\"49961984\"]\n  1 -> 48 [size =\"49961984\"]\n  1 -> 49 [size =\"49961984\"]\n  1 -> 50 [size =\"49961984\"]\n  2 [size=\"74294613\", alpha=\"0.12\", expect_size=\"22288384\"] \n  2 -> 31 [size =\"22288384\"]\n  2 -> 35 [size =\"22288384\"]\n  2 -> 36 [size =\"22288384\"]\n  2 -> 38 [size =\"22288384\"]\n  2 -> 40 [size =\"22288384\"]\n  2 -> 42 [size =\"22288384\"]\n  2 -> 43 [size =\"22288384\"]\n  2 -> 44 [size =\"22288384\"]\n  2 -> 45 [size =\"22288384\"]\n  2 -> 47 [size =\"22288384\"]\n  3 [size=\"83636907\", alpha=\"0.03\", expect_size=\"25091072\"] \n  3 -> 34 [size =\"25091072\"]\n  3 -> 35 [size =\"25091072\"]\n  3 -> 36 [size =\"25091072\"]\n  3 -> 37 [size =\"25091072\"]\n  3 -> 38 [size =\"25091072\"]\n  3 -> 39 [size =\"25091072\"]\n  3 -> 40 [size =\"25091072\"]\n  3 -> 42 [size =\"25091072\"]\n  3 -> 45 [size =\"25091072\"]\n  3 -> 47 [size =\"25091072\"]\n  4 [size=\"36256427\", alpha=\"0.01\", expect_size=\"10876928\"] \n  4 -> 32 [size =\"10876928\"]\n  4 -> 33 [size =\"10876928\"]\n  4 -> 35 [size =\"10876928\"]\n  4 -> 38 [size =\"10876928\"]\n  4 -> 40 [size =\"10876928\"]\n  4 -> 42 [size =\"10876928\"]\n  4 -> 44 [size =\"10876928\"]\n  4 -> 46 [size =\"10876928\"]\n  4 -> 47 [size =\"10876928\"]\n  4 -> 48 [size =\"10876928\"]\n  5 [size=\"36618240\", alpha=\"0.07\", expect_size=\"10985472\"] \n  5 -> 36 [size =\"10985472\"]\n  5 -> 37 [size =\"10985472\"]\n  5 -> 38 [size =\"10985472\"]\n  5 -> 38 [size =\"10985472\"]\n  5 -> 42 [size =\"10985472\"]\n  5 -> 46 [size =\"10985472\"]\n  5 -> 47 [size =\"10985472\"]\n  5 -> 48 [size =\"10985472\"]\n  5 -> 50 [size =\"10985472\"]\n  6 [size=\"26344107\", alpha=\"0.20\", expect_size=\"7903232\"] \n  6 -> 33 [size =\"7903232\"]\n  6 -> 36 [size =\"7903232\"]\n  6 -> 39 [size =\"7903232\"]\n  6 -> 40 [size =\"7903232\"]\n  6 -> 41 [size =\"7903232\"]\n  6 -> 45 [size =\"7903232\"]\n  6 -> 46 [size =\"7903232\"]\n  6 -> 47 [size =\"7903232\"]\n  6 -> 48 [size =\"7903232\"]\n  7 [size=\"95856640\", alpha=\"0.01\", expect_size=\"28756992\"] \n  7 -> 31 [size =\"28756992\"]\n  7 -> 35 [size =\"28756992\"]\n  7 -> 37 [size =\"28756992\"]\n  7 -> 38 [size =\"28756992\"]\n  7 -> 39 [size =\"28756992\"]\n  7 -> 40 [size =\"28756992\"]\n  7 -> 42 [size =\"28756992\"]\n  7 -> 45 [size =\"28756992\"]\n  7 -> 46 [size =\"28756992\"]\n  7 -> 47 [size =\"28756992\"]\n  7 -> 48 [size =\"28756992\"]\n  7 -> 49 [size =\"28756992\"]\n  8 [size=\"88524800\", alpha=\"0.02\", expect_size=\"26557440\"] \n  8 -> 31 [size =\"26557440\"]\n  8 -> 32 [size =\"26557440\"]\n  8 -> 35 [size =\"26557440\"]\n  8 -> 36 [size =\"26557440\"]\n  8 -> 38 [size =\"26557440\"]\n  8 -> 40 [size =\"26557440\"]\n  8 -> 42 [size =\"26557440\"]\n  8 -> 44 [size =\"26557440\"]\n  8 -> 45 [size =\"26557440\"]\n  8 -> 46 [size =\"26557440\"]\n  8 -> 47 [size =\"26557440\"]\n  8 -> 48 [size =\"26557440\"]\n  8 -> 50 [size =\"26557440\"]\n  9 [size=\"22927360\", alpha=\"0.15\", expect_size=\"6878208\"] \n  9 -> 31 [size =\"6878208\"]\n  9 -> 33 [size =\"6878208\"]\n  9 -> 40 [size =\"6878208\"]\n  9 -> 42 [size =\"6878208\"]\n  9 -> 44 [size =\"6878208\"]\n  9 -> 45 [size =\"6878208\"]\n  9 -> 46 [size =\"6878208\"]\n  9 -> 47 [size =\"6878208\"]\n  9 -> 50 [size =\"6878208\"]\n  10 [size=\"167004160\", alpha=\"0.19\", expect_size=\"50101248\"] \n  10 -> 32 [size =\"50101248\"]\n  10 -> 33 [size =\"50101248\"]\n  10 -> 34 [size =\"50101248\"]\n  10 -> 36 [size =\"50101248\"]\n  10 -> 37 [size =\"50101248\"]\n  10 -> 39 [size =\"50101248\"]\n  10 -> 42 [size =\"50101248\"]\n  10 -> 43 [size =\"50101248\"]\n  10 -> 44 [size =\"50101248\"]\n  10 -> 47 [size =\"50101248\"]\n  11 [size=\"60876800\", alpha=\"0.09\", expect_size=\"18263040\"] \n  11 -> 33 [size =\"18263040\"]\n  11 -> 34 [size =\"18263040\"]\n  11 -> 37 [size =\"18263040\"]\n  11 -> 39 [size =\"18263040\"]\n  11 -> 42 [size =\"18263040\"]\n  11 -> 46 [size =\"18263040\"]\n  11 -> 47 [size =\"18263040\"]\n  12 [size=\"173076480\", alpha=\"0.10\", expect_size=\"51922944\"] \n  12 -> 32 [size =\"51922944\"]\n  12 -> 34 [size =\"51922944\"]\n  12 -> 37 [size =\"51922944\"]\n  12 -> 39 [size =\"51922944\"]\n  12 -> 40 [size =\"51922944\"]\n  12 -> 44 [size =\"51922944\"]\n  12 -> 46 [size =\"51922944\"]\n  12 -> 47 [size =\"51922944\"]\n  13 [size=\"112189440\", alpha=\"0.13\", expect_size=\"33656832\"] \n  13 -> 32 [size =\"33656832\"]\n  13 -> 33 [size =\"33656832\"]\n  13 -> 34 [size =\"33656832\"]\n  13 -> 35 [size =\"33656832\"]\n  13 -> 37 [size =\"33656832\"]\n  13 -> 39 [size =\"33656832\"]\n  13 -> 40 [size =\"33656832\"]\n  13 -> 42 [size =\"33656832\"]\n  13 -> 43 [size =\"33656832\"]\n  13 -> 46 [size =\"33656832\"]\n  14 [size=\"132037973\", alpha=\"0.02\", expect_size=\"39611392\"] \n  14 -> 31 [size =\"39611392\"]\n  14 -> 32 [size =\"39611392\"]\n  14 -> 34 [size =\"39611392\"]\n  14 -> 36 [size =\"39611392\"]\n  14 -> 37 [size =\"39611392\"]\n  14 -> 40 [size =\"39611392\"]\n  14 -> 42 [size =\"39611392\"]\n  14 -> 43 [size =\"39611392\"]\n  14 -> 47 [size =\"39611392\"]\n  14 -> 48 [size =\"39611392\"]\n  15 [size=\"137127253\", alpha=\"0.14\", expect_size=\"41138176\"] \n  15 -> 32 [size =\"41138176\"]\n  15 -> 34 [size =\"41138176\"]\n  15 -> 34 [size =\"41138176\"]\n  15 -> 35 [size =\"41138176\"]\n  15 -> 37 [size =\"41138176\"]\n  15 -> 40 [size =\"41138176\"]\n  15 -> 41 [size =\"41138176\"]\n  15 -> 44 [size =\"41138176\"]\n  16 [size=\"34925227\", alpha=\"0.04\", expect_size=\"10477568\"] \n  16 -> 31 [size =\"10477568\"]\n  16 -> 35 [size =\"10477568\"]\n  16 -> 36 [size =\"10477568\"]\n  16 -> 37 [size =\"10477568\"]\n  16 -> 37 [size =\"10477568\"]\n  16 -> 38 [size =\"10477568\"]\n  16 -> 40 [size =\"10477568\"]\n  16 -> 44 [size =\"10477568\"]\n  16 -> 46 [size =\"10477568\"]\n  16 -> 47 [size =\"10477568\"]\n  16 -> 50 [size =\"10477568\"]\n  17 [size=\"31447040\", alpha=\"0.01\", expect_size=\"9434112\"] \n  17 -> 34 [size =\"9434112\"]\n  17 -> 36 [size =\"9434112\"]\n  17 -> 38 [size =\"9434112\"]\n  17 -> 39 [size =\"9434112\"]\n  17 -> 40 [size =\"9434112\"]\n  17 -> 45 [size =\"9434112\"]\n  18 [size=\"40079360\", alpha=\"0.03\", expect_size=\"12023808\"] \n  18 -> 35 [size =\"12023808\"]\n  18 -> 36 [size =\"12023808\"]\n  18 -> 37 [size =\"12023808\"]\n  18 -> 38 [size =\"12023808\"]\n  18 -> 40 [size =\"12023808\"]\n  18 -> 44 [size =\"12023808\"]\n  18 -> 48 [size =\"12023808\"]\n  19 [size=\"55057067\", alpha=\"0.05\", expect_size=\"16517120\"] \n  19 -> 35 [size =\"16517120\"]\n  19 -> 40 [size =\"16517120\"]\n  19 -> 43 [size =\"16517120\"]\n  19 -> 44 [size =\"16517120\"]\n  19 -> 45 [size =\"16517120\"]\n  19 -> 49 [size =\"16517120\"]\n  19 -> 50 [size =\"16517120\"]\n  20 [size=\"18735787\", alpha=\"0.07\", expect_size=\"5620736\"] \n  20 -> 32 [size =\"5620736\"]\n  20 -> 33 [size =\"5620736\"]\n  20 -> 38 [size =\"5620736\"]\n  20 -> 42 [size =\"5620736\"]\n  20 -> 45 [size =\"5620736\"]\n  20 -> 46 [size =\"5620736\"]\n  21 [size=\"168765440\", alpha=\"0.08\", expect_size=\"50629632\"] \n  21 -> 32 [size =\"50629632\"]\n  21 -> 33 [size =\"50629632\"]\n  21 -> 34 [size =\"50629632\"]\n  21 -> 44 [size =\"50629632\"]\n  21 -> 49 [size =\"50629632\"]\n  22 [size=\"81633280\", alpha=\"0.16\", expect_size=\"24489984\"] \n  22 -> 31 [size =\"24489984\"]\n  22 -> 34 [size =\"24489984\"]\n  22 -> 39 [size =\"24489984\"]\n  22 -> 40 [size =\"24489984\"]\n  22 -> 41 [size =\"24489984\"]\n  22 -> 42 [size =\"24489984\"]\n  22 -> 43 [size =\"24489984\"]\n  22 -> 44 [size =\"24489984\"]\n  22 -> 46 [size =\"24489984\"]\n  22 -> 47 [size =\"24489984\"]\n  23 [size=\"162696533\", alpha=\"0.13\", expect_size=\"48808960\"] \n  23 -> 31 [size =\"48808960\"]\n  23 -> 34 [size =\"48808960\"]\n  23 -> 35 [size =\"48808960\"]\n  23 -> 37 [size =\"48808960\"]\n  23 -> 38 [size =\"48808960\"]\n  23 -> 40 [size =\"48808960\"]\n  23 -> 41 [size =\"48808960\"]\n  23 -> 46 [size =\"48808960\"]\n  23 -> 47 [size =\"48808960\"]\n  23 -> 48 [size =\"48808960\"]\n  24 [size=\"105840640\", alpha=\"0.12\", expect_size=\"31752192\"] \n  24 -> 38 [size =\"31752192\"]\n  24 -> 39 [size =\"31752192\"]\n  24 -> 40 [size =\"31752192\"]\n  24 -> 45 [size =\"31752192\"]\n  24 -> 46 [size =\"31752192\"]\n  24 -> 47 [size =\"31752192\"]\n  24 -> 48 [size =\"31752192\"]\n  25 [size=\"125364907\", alpha=\"0.13\", expect_size=\"37609472\"] \n  25 -> 33 [size =\"37609472\"]\n  25 -> 34 [size =\"37609472\"]\n  25 -> 35 [size =\"37609472\"]\n  25 -> 38 [size =\"37609472\"]\n  25 -> 40 [size =\"37609472\"]\n  25 -> 41 [size =\"37609472\"]\n  25 -> 45 [size =\"37609472\"]\n  25 -> 46 [size =\"37609472\"]\n  25 -> 48 [size =\"37609472\"]\n  25 -> 50 [size =\"37609472\"]\n  26 [size=\"78557867\", alpha=\"0.15\", expect_size=\"23567360\"] \n  26 -> 32 [size =\"23567360\"]\n  26 -> 34 [size =\"23567360\"]\n  26 -> 35 [size =\"23567360\"]\n  26 -> 39 [size =\"23567360\"]\n  26 -> 41 [size =\"23567360\"]\n  26 -> 44 [size =\"23567360\"]\n  26 -> 46 [size =\"23567360\"]\n  26 -> 46 [size =\"23567360\"]\n  26 -> 48 [size =\"23567360\"]\n  26 -> 49 [size =\"23567360\"]\n  27 [size=\"108806827\", alpha=\"0.08\", expect_size=\"32642048\"] \n  27 -> 35 [size =\"32642048\"]\n  27 -> 39 [size =\"32642048\"]\n  27 -> 41 [size =\"32642048\"]\n  27 -> 42 [size =\"32642048\"]\n  27 -> 45 [size =\"32642048\"]\n  27 -> 47 [size =\"32642048\"]\n  28 [size=\"114735787\", alpha=\"0.09\", expect_size=\"34420736\"] \n  28 -> 33 [size =\"34420736\"]\n  28 -> 34 [size =\"34420736\"]\n  28 -> 36 [size =\"34420736\"]\n  28 -> 39 [size =\"34420736\"]\n  28 -> 41 [size =\"34420736\"]\n  28 -> 42 [size =\"34420736\"]\n  28 -> 44 [size =\"34420736\"]\n  28 -> 45 [size =\"34420736\"]\n  28 -> 46 [size =\"34420736\"]\n  28 -> 47 [size =\"34420736\"]\n  29 [size=\"140062720\", alpha=\"0.11\", expect_size=\"42018816\"] \n  29 -> 33 [size =\"42018816\"]\n  29 -> 34 [size =\"42018816\"]\n  29 -> 35 [size =\"42018816\"]\n  29 -> 38 [size =\"42018816\"]\n  29 -> 39 [size =\"42018816\"]\n  29 -> 40 [size =\"42018816\"]\n  29 -> 41 [size =\"42018816\"]\n  29 -> 44 [size =\"42018816\"]\n  29 -> 45 [size =\"42018816\"]\n  29 -> 46 [size =\"42018816\"]\n  29 -> 50 [size =\"42018816\"]\n  30 [size=\"25965227\", alpha=\"0.12\", expect_size=\"7789568\"] \n  30 -> 34 [size =\"7789568\"]\n  30 -> 37 [size =\"7789568\"]\n  30 -> 38 [size =\"7789568\"]\n  30 -> 41 [size =\"7789568\"]\n  30 -> 44 [size =\"7789568\"]\n  30 -> 47 [size =\"7789568\"]\n  31 [size=\"83845120\", alpha=\"0.19\", expect_size=\"25153536\"] \n  32 [size=\"148196693\", alpha=\"0.05\", expect_size=\"44459008\"] \n  33 [size=\"118551893\", alpha=\"0.04\", expect_size=\"35565568\"] \n  34 [size=\"61074773\", alpha=\"0.17\", expect_size=\"18322432\"] \n  35 [size=\"151831893\", alpha=\"0.05\", expect_size=\"45549568\"] \n  36 [size=\"95395840\", alpha=\"0.16\", expect_size=\"28618752\"] \n  37 [size=\"57924267\", alpha=\"0.08\", expect_size=\"17377280\"] \n  38 [size=\"117794133\", alpha=\"0.03\", expect_size=\"35338240\"] \n  39 [size=\"31491413\", alpha=\"0.03\", expect_size=\"9447424\"] \n  40 [size=\"119036587\", alpha=\"0.03\", expect_size=\"35710976\"] \n  41 [size=\"58105173\", alpha=\"0.02\", expect_size=\"17431552\"] \n  42 [size=\"49384107\", alpha=\"0.10\", expect_size=\"14815232\"] \n  43 [size=\"91190613\", alpha=\"0.16\", expect_size=\"27357184\"] \n  44 [size=\"120951467\", alpha=\"0.13\", expect_size=\"36285440\"] \n  45 [size=\"95941973\", alpha=\"0.04\", expect_size=\"28782592\"] \n  46 [size=\"135819947\", alpha=\"0.02\", expect_size=\"40745984\"] \n  47 [size=\"100747947\", alpha=\"0.12\", expect_size=\"30224384\"] \n  48 [size=\"161983147\", alpha=\"0.15\", expect_size=\"48594944\"] \n  49 [size=\"27559253\", alpha=\"0.13\", expect_size=\"8267776\"] \n  50 [size=\"49633280\", alpha=\"0.13\", expect_size=\"14889984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.768.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38924288\", alpha=\"0.13\", expect_size=\"19462144\"] \n  1 -> 2 [size =\"19462144\"]\n  2 [size=\"82194432\", alpha=\"0.04\", expect_size=\"41097216\"] \n  2 -> 3 [size =\"41097216\"]\n  3 [size=\"86992896\", alpha=\"0.04\", expect_size=\"43496448\"] \n  3 -> 4 [size =\"43496448\"]\n  4 [size=\"35061760\", alpha=\"0.00\", expect_size=\"17530880\"] \n  4 -> 5 [size =\"17530880\"]\n  5 [size=\"68030464\", alpha=\"0.17\", expect_size=\"34015232\"] \n  5 -> 6 [size =\"34015232\"]\n  6 [size=\"18882560\", alpha=\"0.11\", expect_size=\"9441280\"] \n  6 -> 7 [size =\"9441280\"]\n  7 [size=\"44111872\", alpha=\"0.04\", expect_size=\"22055936\"] \n  7 -> 8 [size =\"22055936\"]\n  8 [size=\"49364992\", alpha=\"0.07\", expect_size=\"24682496\"] \n  8 -> 9 [size =\"24682496\"]\n  9 [size=\"81324032\", alpha=\"0.11\", expect_size=\"40662016\"] \n  9 -> 10 [size =\"40662016\"]\n  10 [size=\"18069504\", alpha=\"0.08\", expect_size=\"9034752\"] \n  10 -> 11 [size =\"9034752\"]\n  11 [size=\"83955712\", alpha=\"0.06\", expect_size=\"41977856\"] \n  11 -> 12 [size =\"41977856\"]\n  12 [size=\"50208768\", alpha=\"0.09\", expect_size=\"25104384\"] \n  12 -> 13 [size =\"25104384\"]\n  13 [size=\"70344704\", alpha=\"0.11\", expect_size=\"35172352\"] \n  13 -> 14 [size =\"35172352\"]\n  14 [size=\"89606144\", alpha=\"0.04\", expect_size=\"44803072\"] \n  14 -> 15 [size =\"44803072\"]\n  15 [size=\"90847232\", alpha=\"0.02\", expect_size=\"45423616\"] \n  15 -> 16 [size =\"45423616\"]\n  16 [size=\"78788608\", alpha=\"0.15\", expect_size=\"39394304\"] \n  16 -> 17 [size =\"39394304\"]\n  17 [size=\"34516992\", alpha=\"0.19\", expect_size=\"17258496\"] \n  17 -> 18 [size =\"17258496\"]\n  18 [size=\"55042048\", alpha=\"0.16\", expect_size=\"27521024\"] \n  18 -> 19 [size =\"27521024\"]\n  19 [size=\"87445504\", alpha=\"0.19\", expect_size=\"43722752\"] \n  19 -> 20 [size =\"43722752\"]\n  20 [size=\"46852096\", alpha=\"0.02\", expect_size=\"23426048\"] \n  20 -> 21 [size =\"23426048\"]\n  21 [size=\"82409472\", alpha=\"0.10\", expect_size=\"41204736\"] \n  21 -> 22 [size =\"41204736\"]\n  22 [size=\"18417664\", alpha=\"0.14\", expect_size=\"9208832\"] \n  22 -> 23 [size =\"9208832\"]\n  23 [size=\"61456384\", alpha=\"0.14\", expect_size=\"30728192\"] \n  23 -> 24 [size =\"30728192\"]\n  24 [size=\"17969152\", alpha=\"0.20\", expect_size=\"8984576\"] \n  24 -> 25 [size =\"8984576\"]\n  25 [size=\"36409344\", alpha=\"0.17\", expect_size=\"18204672\"] \n  25 -> 26 [size =\"18204672\"]\n  26 [size=\"43571200\", alpha=\"0.17\", expect_size=\"21785600\"] \n  26 -> 27 [size =\"21785600\"]\n  27 [size=\"21106688\", alpha=\"0.03\", expect_size=\"10553344\"] \n  27 -> 28 [size =\"10553344\"]\n  28 [size=\"16986112\", alpha=\"0.18\", expect_size=\"8493056\"] \n  28 -> 29 [size =\"8493056\"]\n  29 [size=\"92841984\", alpha=\"0.08\", expect_size=\"46420992\"] \n  29 -> 30 [size =\"46420992\"]\n  30 [size=\"87158784\", alpha=\"0.19\", expect_size=\"43579392\"] \n  30 -> 31 [size =\"43579392\"]\n  31 [size=\"94414848\", alpha=\"0.06\", expect_size=\"47207424\"] \n  31 -> 32 [size =\"47207424\"]\n  32 [size=\"48676864\", alpha=\"0.01\", expect_size=\"24338432\"] \n  32 -> 33 [size =\"24338432\"]\n  33 [size=\"21655552\", alpha=\"0.09\", expect_size=\"10827776\"] \n  33 -> 34 [size =\"10827776\"]\n  34 [size=\"89858048\", alpha=\"0.14\", expect_size=\"44929024\"] \n  34 -> 35 [size =\"44929024\"]\n  35 [size=\"89118720\", alpha=\"0.16\", expect_size=\"44559360\"] \n  35 -> 36 [size =\"44559360\"]\n  36 [size=\"76980224\", alpha=\"0.12\", expect_size=\"38490112\"] \n  36 -> 37 [size =\"38490112\"]\n  37 [size=\"61841408\", alpha=\"0.14\", expect_size=\"30920704\"] \n  37 -> 38 [size =\"30920704\"]\n  38 [size=\"77330432\", alpha=\"0.05\", expect_size=\"38665216\"] \n  38 -> 39 [size =\"38665216\"]\n  39 [size=\"67954688\", alpha=\"0.12\", expect_size=\"33977344\"] \n  39 -> 40 [size =\"33977344\"]\n  40 [size=\"104554496\", alpha=\"0.07\", expect_size=\"52277248\"] \n  40 -> 41 [size =\"52277248\"]\n  41 [size=\"100341760\", alpha=\"0.17\", expect_size=\"50170880\"] \n  41 -> 42 [size =\"50170880\"]\n  42 [size=\"34414592\", alpha=\"0.08\", expect_size=\"17207296\"] \n  42 -> 43 [size =\"17207296\"]\n  43 [size=\"40869888\", alpha=\"0.11\", expect_size=\"20434944\"] \n  43 -> 44 [size =\"20434944\"]\n  44 [size=\"85194752\", alpha=\"0.15\", expect_size=\"42597376\"] \n  44 -> 45 [size =\"42597376\"]\n  45 [size=\"57765888\", alpha=\"0.05\", expect_size=\"28882944\"] \n  45 -> 46 [size =\"28882944\"]\n  46 [size=\"38946816\", alpha=\"0.01\", expect_size=\"19473408\"] \n  46 -> 47 [size =\"19473408\"]\n  47 [size=\"97040384\", alpha=\"0.00\", expect_size=\"48520192\"] \n  47 -> 48 [size =\"48520192\"]\n  48 [size=\"67336192\", alpha=\"0.01\", expect_size=\"33668096\"] \n  48 -> 49 [size =\"33668096\"]\n  49 [size=\"88760320\", alpha=\"0.18\", expect_size=\"44380160\"] \n  49 -> 50 [size =\"44380160\"]\n  50 [size=\"49530880\", alpha=\"0.12\", expect_size=\"24765440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.769.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66355200\", alpha=\"0.00\", expect_size=\"26542080\"] \n  1 -> 14 [size =\"26542080\"]\n  1 -> 16 [size =\"26542080\"]\n  1 -> 18 [size =\"26542080\"]\n  1 -> 19 [size =\"26542080\"]\n  1 -> 21 [size =\"26542080\"]\n  1 -> 22 [size =\"26542080\"]\n  1 -> 23 [size =\"26542080\"]\n  2 [size=\"47948800\", alpha=\"0.19\", expect_size=\"19179520\"] \n  2 -> 13 [size =\"19179520\"]\n  2 -> 14 [size =\"19179520\"]\n  2 -> 16 [size =\"19179520\"]\n  2 -> 18 [size =\"19179520\"]\n  2 -> 19 [size =\"19179520\"]\n  2 -> 21 [size =\"19179520\"]\n  2 -> 22 [size =\"19179520\"]\n  2 -> 23 [size =\"19179520\"]\n  3 [size=\"32806400\", alpha=\"0.02\", expect_size=\"13122560\"] \n  3 -> 13 [size =\"13122560\"]\n  3 -> 14 [size =\"13122560\"]\n  3 -> 15 [size =\"13122560\"]\n  3 -> 18 [size =\"13122560\"]\n  3 -> 21 [size =\"13122560\"]\n  3 -> 22 [size =\"13122560\"]\n  3 -> 22 [size =\"13122560\"]\n  3 -> 24 [size =\"13122560\"]\n  4 [size=\"41771520\", alpha=\"0.08\", expect_size=\"16708608\"] \n  4 -> 12 [size =\"16708608\"]\n  4 -> 14 [size =\"16708608\"]\n  4 -> 15 [size =\"16708608\"]\n  4 -> 16 [size =\"16708608\"]\n  4 -> 18 [size =\"16708608\"]\n  4 -> 19 [size =\"16708608\"]\n  4 -> 23 [size =\"16708608\"]\n  4 -> 24 [size =\"16708608\"]\n  4 -> 25 [size =\"16708608\"]\n  5 [size=\"81633280\", alpha=\"0.05\", expect_size=\"32653312\"] \n  5 -> 12 [size =\"32653312\"]\n  5 -> 13 [size =\"32653312\"]\n  5 -> 14 [size =\"32653312\"]\n  5 -> 16 [size =\"32653312\"]\n  5 -> 18 [size =\"32653312\"]\n  5 -> 19 [size =\"32653312\"]\n  5 -> 21 [size =\"32653312\"]\n  5 -> 22 [size =\"32653312\"]\n  5 -> 23 [size =\"32653312\"]\n  5 -> 24 [size =\"32653312\"]\n  6 [size=\"28485120\", alpha=\"0.11\", expect_size=\"11394048\"] \n  6 -> 12 [size =\"11394048\"]\n  6 -> 15 [size =\"11394048\"]\n  6 -> 22 [size =\"11394048\"]\n  6 -> 23 [size =\"11394048\"]\n  6 -> 24 [size =\"11394048\"]\n  7 [size=\"115996160\", alpha=\"0.11\", expect_size=\"46398464\"] \n  7 -> 12 [size =\"46398464\"]\n  7 -> 14 [size =\"46398464\"]\n  7 -> 15 [size =\"46398464\"]\n  7 -> 16 [size =\"46398464\"]\n  7 -> 17 [size =\"46398464\"]\n  7 -> 22 [size =\"46398464\"]\n  7 -> 23 [size =\"46398464\"]\n  7 -> 24 [size =\"46398464\"]\n  8 [size=\"15411200\", alpha=\"0.18\", expect_size=\"6164480\"] \n  8 -> 12 [size =\"6164480\"]\n  8 -> 13 [size =\"6164480\"]\n  8 -> 15 [size =\"6164480\"]\n  8 -> 16 [size =\"6164480\"]\n  8 -> 18 [size =\"6164480\"]\n  8 -> 20 [size =\"6164480\"]\n  8 -> 22 [size =\"6164480\"]\n  8 -> 23 [size =\"6164480\"]\n  8 -> 24 [size =\"6164480\"]\n  9 [size=\"30484480\", alpha=\"0.11\", expect_size=\"12193792\"] \n  9 -> 12 [size =\"12193792\"]\n  9 -> 14 [size =\"12193792\"]\n  9 -> 15 [size =\"12193792\"]\n  9 -> 16 [size =\"12193792\"]\n  9 -> 18 [size =\"12193792\"]\n  9 -> 22 [size =\"12193792\"]\n  9 -> 23 [size =\"12193792\"]\n  9 -> 24 [size =\"12193792\"]\n  9 -> 24 [size =\"12193792\"]\n  10 [size=\"44561920\", alpha=\"0.14\", expect_size=\"17824768\"] \n  10 -> 14 [size =\"17824768\"]\n  10 -> 15 [size =\"17824768\"]\n  10 -> 15 [size =\"17824768\"]\n  10 -> 16 [size =\"17824768\"]\n  10 -> 17 [size =\"17824768\"]\n  10 -> 18 [size =\"17824768\"]\n  10 -> 19 [size =\"17824768\"]\n  10 -> 21 [size =\"17824768\"]\n  10 -> 24 [size =\"17824768\"]\n  11 [size=\"17858560\", alpha=\"0.09\", expect_size=\"7143424\"] \n  11 -> 12 [size =\"7143424\"]\n  11 -> 18 [size =\"7143424\"]\n  11 -> 19 [size =\"7143424\"]\n  11 -> 22 [size =\"7143424\"]\n  11 -> 25 [size =\"7143424\"]\n  12 [size=\"19568640\", alpha=\"0.02\", expect_size=\"7827456\"] \n  12 -> 27 [size =\"7827456\"]\n  12 -> 28 [size =\"7827456\"]\n  12 -> 29 [size =\"7827456\"]\n  12 -> 30 [size =\"7827456\"]\n  12 -> 31 [size =\"7827456\"]\n  12 -> 34 [size =\"7827456\"]\n  12 -> 36 [size =\"7827456\"]\n  13 [size=\"15185920\", alpha=\"0.17\", expect_size=\"6074368\"] \n  13 -> 28 [size =\"6074368\"]\n  13 -> 29 [size =\"6074368\"]\n  13 -> 31 [size =\"6074368\"]\n  14 [size=\"26019840\", alpha=\"0.19\", expect_size=\"10407936\"] \n  14 -> 27 [size =\"10407936\"]\n  14 -> 28 [size =\"10407936\"]\n  14 -> 30 [size =\"10407936\"]\n  14 -> 33 [size =\"10407936\"]\n  14 -> 35 [size =\"10407936\"]\n  15 [size=\"75302400\", alpha=\"0.01\", expect_size=\"30120960\"] \n  15 -> 26 [size =\"30120960\"]\n  15 -> 30 [size =\"30120960\"]\n  15 -> 31 [size =\"30120960\"]\n  15 -> 33 [size =\"30120960\"]\n  15 -> 34 [size =\"30120960\"]\n  16 [size=\"106416640\", alpha=\"0.07\", expect_size=\"42566656\"] \n  16 -> 26 [size =\"42566656\"]\n  16 -> 30 [size =\"42566656\"]\n  16 -> 31 [size =\"42566656\"]\n  16 -> 32 [size =\"42566656\"]\n  16 -> 33 [size =\"42566656\"]\n  16 -> 36 [size =\"42566656\"]\n  17 [size=\"54904320\", alpha=\"0.16\", expect_size=\"21961728\"] \n  17 -> 26 [size =\"21961728\"]\n  17 -> 28 [size =\"21961728\"]\n  17 -> 30 [size =\"21961728\"]\n  17 -> 31 [size =\"21961728\"]\n  17 -> 32 [size =\"21961728\"]\n  17 -> 34 [size =\"21961728\"]\n  17 -> 35 [size =\"21961728\"]\n  18 [size=\"118919680\", alpha=\"0.04\", expect_size=\"47567872\"] \n  18 -> 29 [size =\"47567872\"]\n  18 -> 30 [size =\"47567872\"]\n  18 -> 30 [size =\"47567872\"]\n  18 -> 34 [size =\"47567872\"]\n  18 -> 36 [size =\"47567872\"]\n  19 [size=\"106705920\", alpha=\"0.18\", expect_size=\"42682368\"] \n  19 -> 27 [size =\"42682368\"]\n  19 -> 28 [size =\"42682368\"]\n  19 -> 29 [size =\"42682368\"]\n  19 -> 31 [size =\"42682368\"]\n  19 -> 34 [size =\"42682368\"]\n  19 -> 35 [size =\"42682368\"]\n  20 [size=\"54599680\", alpha=\"0.02\", expect_size=\"21839872\"] \n  20 -> 31 [size =\"21839872\"]\n  20 -> 33 [size =\"21839872\"]\n  20 -> 34 [size =\"21839872\"]\n  20 -> 35 [size =\"21839872\"]\n  21 [size=\"21145600\", alpha=\"0.14\", expect_size=\"8458240\"] \n  21 -> 28 [size =\"8458240\"]\n  21 -> 30 [size =\"8458240\"]\n  21 -> 31 [size =\"8458240\"]\n  21 -> 33 [size =\"8458240\"]\n  21 -> 35 [size =\"8458240\"]\n  21 -> 36 [size =\"8458240\"]\n  22 [size=\"75502080\", alpha=\"0.13\", expect_size=\"30200832\"] \n  22 -> 27 [size =\"30200832\"]\n  22 -> 29 [size =\"30200832\"]\n  22 -> 30 [size =\"30200832\"]\n  22 -> 31 [size =\"30200832\"]\n  22 -> 33 [size =\"30200832\"]\n  22 -> 35 [size =\"30200832\"]\n  22 -> 36 [size =\"30200832\"]\n  23 [size=\"87697920\", alpha=\"0.15\", expect_size=\"35079168\"] \n  23 -> 27 [size =\"35079168\"]\n  23 -> 30 [size =\"35079168\"]\n  23 -> 30 [size =\"35079168\"]\n  23 -> 31 [size =\"35079168\"]\n  23 -> 33 [size =\"35079168\"]\n  23 -> 36 [size =\"35079168\"]\n  23 -> 36 [size =\"35079168\"]\n  24 [size=\"72427520\", alpha=\"0.02\", expect_size=\"28971008\"] \n  24 -> 26 [size =\"28971008\"]\n  24 -> 27 [size =\"28971008\"]\n  24 -> 30 [size =\"28971008\"]\n  24 -> 31 [size =\"28971008\"]\n  24 -> 36 [size =\"28971008\"]\n  24 -> 36 [size =\"28971008\"]\n  25 [size=\"67609600\", alpha=\"0.01\", expect_size=\"27043840\"] \n  25 -> 30 [size =\"27043840\"]\n  25 -> 31 [size =\"27043840\"]\n  25 -> 33 [size =\"27043840\"]\n  25 -> 34 [size =\"27043840\"]\n  25 -> 35 [size =\"27043840\"]\n  25 -> 36 [size =\"27043840\"]\n  26 [size=\"76282880\", alpha=\"0.02\", expect_size=\"30513152\"] \n  26 -> 37 [size =\"30513152\"]\n  26 -> 38 [size =\"30513152\"]\n  26 -> 40 [size =\"30513152\"]\n  26 -> 41 [size =\"30513152\"]\n  26 -> 43 [size =\"30513152\"]\n  26 -> 44 [size =\"30513152\"]\n  26 -> 45 [size =\"30513152\"]\n  26 -> 47 [size =\"30513152\"]\n  26 -> 49 [size =\"30513152\"]\n  27 [size=\"119078400\", alpha=\"0.00\", expect_size=\"47631360\"] \n  27 -> 37 [size =\"47631360\"]\n  27 -> 40 [size =\"47631360\"]\n  27 -> 44 [size =\"47631360\"]\n  27 -> 47 [size =\"47631360\"]\n  27 -> 49 [size =\"47631360\"]\n  28 [size=\"95626240\", alpha=\"0.19\", expect_size=\"38250496\"] \n  28 -> 38 [size =\"38250496\"]\n  28 -> 40 [size =\"38250496\"]\n  28 -> 41 [size =\"38250496\"]\n  28 -> 43 [size =\"38250496\"]\n  28 -> 49 [size =\"38250496\"]\n  29 [size=\"116633600\", alpha=\"0.01\", expect_size=\"46653440\"] \n  29 -> 39 [size =\"46653440\"]\n  29 -> 41 [size =\"46653440\"]\n  29 -> 41 [size =\"46653440\"]\n  29 -> 43 [size =\"46653440\"]\n  29 -> 44 [size =\"46653440\"]\n  29 -> 47 [size =\"46653440\"]\n  29 -> 49 [size =\"46653440\"]\n  30 [size=\"103488000\", alpha=\"0.09\", expect_size=\"41395200\"] \n  30 -> 39 [size =\"41395200\"]\n  30 -> 40 [size =\"41395200\"]\n  30 -> 42 [size =\"41395200\"]\n  30 -> 43 [size =\"41395200\"]\n  30 -> 44 [size =\"41395200\"]\n  30 -> 47 [size =\"41395200\"]\n  30 -> 48 [size =\"41395200\"]\n  31 [size=\"112704000\", alpha=\"0.17\", expect_size=\"45081600\"] \n  31 -> 38 [size =\"45081600\"]\n  31 -> 39 [size =\"45081600\"]\n  31 -> 46 [size =\"45081600\"]\n  31 -> 47 [size =\"45081600\"]\n  31 -> 48 [size =\"45081600\"]\n  31 -> 50 [size =\"45081600\"]\n  32 [size=\"79564800\", alpha=\"0.06\", expect_size=\"31825920\"] \n  32 -> 38 [size =\"31825920\"]\n  32 -> 40 [size =\"31825920\"]\n  32 -> 41 [size =\"31825920\"]\n  32 -> 44 [size =\"31825920\"]\n  32 -> 45 [size =\"31825920\"]\n  32 -> 47 [size =\"31825920\"]\n  32 -> 50 [size =\"31825920\"]\n  33 [size=\"38914560\", alpha=\"0.15\", expect_size=\"15565824\"] \n  33 -> 37 [size =\"15565824\"]\n  33 -> 38 [size =\"15565824\"]\n  33 -> 40 [size =\"15565824\"]\n  33 -> 41 [size =\"15565824\"]\n  33 -> 43 [size =\"15565824\"]\n  33 -> 44 [size =\"15565824\"]\n  33 -> 47 [size =\"15565824\"]\n  33 -> 49 [size =\"15565824\"]\n  33 -> 50 [size =\"15565824\"]\n  34 [size=\"128417280\", alpha=\"0.07\", expect_size=\"51366912\"] \n  34 -> 37 [size =\"51366912\"]\n  34 -> 38 [size =\"51366912\"]\n  34 -> 39 [size =\"51366912\"]\n  34 -> 41 [size =\"51366912\"]\n  34 -> 43 [size =\"51366912\"]\n  34 -> 44 [size =\"51366912\"]\n  34 -> 47 [size =\"51366912\"]\n  34 -> 50 [size =\"51366912\"]\n  35 [size=\"22848000\", alpha=\"0.09\", expect_size=\"9139200\"] \n  35 -> 39 [size =\"9139200\"]\n  35 -> 41 [size =\"9139200\"]\n  35 -> 44 [size =\"9139200\"]\n  35 -> 50 [size =\"9139200\"]\n  36 [size=\"26659840\", alpha=\"0.07\", expect_size=\"10663936\"] \n  36 -> 40 [size =\"10663936\"]\n  36 -> 43 [size =\"10663936\"]\n  36 -> 44 [size =\"10663936\"]\n  36 -> 46 [size =\"10663936\"]\n  36 -> 47 [size =\"10663936\"]\n  36 -> 48 [size =\"10663936\"]\n  36 -> 49 [size =\"10663936\"]\n  37 [size=\"37268480\", alpha=\"0.13\", expect_size=\"14907392\"] \n  38 [size=\"39600640\", alpha=\"0.16\", expect_size=\"15840256\"] \n  39 [size=\"35962880\", alpha=\"0.15\", expect_size=\"14385152\"] \n  40 [size=\"43727360\", alpha=\"0.01\", expect_size=\"17490944\"] \n  41 [size=\"94356480\", alpha=\"0.08\", expect_size=\"37742592\"] \n  42 [size=\"74631680\", alpha=\"0.06\", expect_size=\"29852672\"] \n  43 [size=\"108986880\", alpha=\"0.17\", expect_size=\"43594752\"] \n  44 [size=\"81533440\", alpha=\"0.17\", expect_size=\"32613376\"] \n  45 [size=\"123153920\", alpha=\"0.07\", expect_size=\"49261568\"] \n  46 [size=\"60108800\", alpha=\"0.08\", expect_size=\"24043520\"] \n  47 [size=\"103677440\", alpha=\"0.06\", expect_size=\"41470976\"] \n  48 [size=\"59727360\", alpha=\"0.19\", expect_size=\"23890944\"] \n  49 [size=\"34071040\", alpha=\"0.09\", expect_size=\"13628416\"] \n  50 [size=\"120309760\", alpha=\"0.14\", expect_size=\"48123904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89808213\", alpha=\"0.05\", expect_size=\"26942464\"] \n  1 -> 24 [size =\"26942464\"]\n  1 -> 25 [size =\"26942464\"]\n  1 -> 26 [size =\"26942464\"]\n  2 [size=\"106690560\", alpha=\"0.04\", expect_size=\"32007168\"] \n  2 -> 16 [size =\"32007168\"]\n  2 -> 17 [size =\"32007168\"]\n  2 -> 25 [size =\"32007168\"]\n  2 -> 28 [size =\"32007168\"]\n  3 [size=\"108550827\", alpha=\"0.12\", expect_size=\"32565248\"] \n  3 -> 16 [size =\"32565248\"]\n  3 -> 17 [size =\"32565248\"]\n  3 -> 18 [size =\"32565248\"]\n  3 -> 21 [size =\"32565248\"]\n  3 -> 25 [size =\"32565248\"]\n  4 [size=\"68362240\", alpha=\"0.14\", expect_size=\"20508672\"] \n  4 -> 16 [size =\"20508672\"]\n  4 -> 17 [size =\"20508672\"]\n  4 -> 21 [size =\"20508672\"]\n  4 -> 22 [size =\"20508672\"]\n  4 -> 23 [size =\"20508672\"]\n  4 -> 25 [size =\"20508672\"]\n  5 [size=\"161795413\", alpha=\"0.11\", expect_size=\"48538624\"] \n  5 -> 16 [size =\"48538624\"]\n  5 -> 21 [size =\"48538624\"]\n  5 -> 25 [size =\"48538624\"]\n  5 -> 28 [size =\"48538624\"]\n  5 -> 29 [size =\"48538624\"]\n  6 [size=\"109803520\", alpha=\"0.01\", expect_size=\"32941056\"] \n  6 -> 18 [size =\"32941056\"]\n  6 -> 22 [size =\"32941056\"]\n  6 -> 27 [size =\"32941056\"]\n  6 -> 28 [size =\"32941056\"]\n  7 [size=\"153449813\", alpha=\"0.11\", expect_size=\"46034944\"] \n  7 -> 17 [size =\"46034944\"]\n  7 -> 18 [size =\"46034944\"]\n  7 -> 21 [size =\"46034944\"]\n  7 -> 22 [size =\"46034944\"]\n  7 -> 29 [size =\"46034944\"]\n  8 [size=\"44229973\", alpha=\"0.07\", expect_size=\"13268992\"] \n  8 -> 16 [size =\"13268992\"]\n  8 -> 22 [size =\"13268992\"]\n  8 -> 24 [size =\"13268992\"]\n  8 -> 25 [size =\"13268992\"]\n  8 -> 26 [size =\"13268992\"]\n  8 -> 28 [size =\"13268992\"]\n  9 [size=\"174533973\", alpha=\"0.07\", expect_size=\"52360192\"] \n  9 -> 16 [size =\"52360192\"]\n  9 -> 17 [size =\"52360192\"]\n  9 -> 20 [size =\"52360192\"]\n  9 -> 26 [size =\"52360192\"]\n  9 -> 29 [size =\"52360192\"]\n  10 [size=\"111670613\", alpha=\"0.00\", expect_size=\"33501184\"] \n  10 -> 20 [size =\"33501184\"]\n  10 -> 23 [size =\"33501184\"]\n  11 [size=\"158262613\", alpha=\"0.18\", expect_size=\"47478784\"] \n  11 -> 19 [size =\"47478784\"]\n  11 -> 22 [size =\"47478784\"]\n  11 -> 26 [size =\"47478784\"]\n  11 -> 28 [size =\"47478784\"]\n  12 [size=\"37167787\", alpha=\"0.18\", expect_size=\"11150336\"] \n  12 -> 19 [size =\"11150336\"]\n  12 -> 21 [size =\"11150336\"]\n  12 -> 23 [size =\"11150336\"]\n  12 -> 26 [size =\"11150336\"]\n  12 -> 28 [size =\"11150336\"]\n  13 [size=\"69734400\", alpha=\"0.12\", expect_size=\"20920320\"] \n  13 -> 16 [size =\"20920320\"]\n  13 -> 17 [size =\"20920320\"]\n  14 [size=\"166024533\", alpha=\"0.16\", expect_size=\"49807360\"] \n  14 -> 18 [size =\"49807360\"]\n  14 -> 21 [size =\"49807360\"]\n  14 -> 23 [size =\"49807360\"]\n  15 [size=\"119323307\", alpha=\"0.02\", expect_size=\"35796992\"] \n  15 -> 16 [size =\"35796992\"]\n  15 -> 17 [size =\"35796992\"]\n  15 -> 26 [size =\"35796992\"]\n  16 [size=\"52473173\", alpha=\"0.06\", expect_size=\"15741952\"] \n  16 -> 30 [size =\"15741952\"]\n  16 -> 36 [size =\"15741952\"]\n  16 -> 37 [size =\"15741952\"]\n  16 -> 44 [size =\"15741952\"]\n  17 [size=\"56439467\", alpha=\"0.13\", expect_size=\"16931840\"] \n  17 -> 36 [size =\"16931840\"]\n  17 -> 44 [size =\"16931840\"]\n  18 [size=\"145397760\", alpha=\"0.10\", expect_size=\"43619328\"] \n  18 -> 30 [size =\"43619328\"]\n  18 -> 31 [size =\"43619328\"]\n  18 -> 32 [size =\"43619328\"]\n  18 -> 33 [size =\"43619328\"]\n  18 -> 34 [size =\"43619328\"]\n  18 -> 35 [size =\"43619328\"]\n  18 -> 37 [size =\"43619328\"]\n  18 -> 39 [size =\"43619328\"]\n  18 -> 40 [size =\"43619328\"]\n  18 -> 44 [size =\"43619328\"]\n  19 [size=\"44642987\", alpha=\"0.19\", expect_size=\"13392896\"] \n  19 -> 31 [size =\"13392896\"]\n  19 -> 33 [size =\"13392896\"]\n  19 -> 34 [size =\"13392896\"]\n  19 -> 37 [size =\"13392896\"]\n  20 [size=\"98764800\", alpha=\"0.13\", expect_size=\"29629440\"] \n  20 -> 30 [size =\"29629440\"]\n  20 -> 33 [size =\"29629440\"]\n  20 -> 39 [size =\"29629440\"]\n  20 -> 41 [size =\"29629440\"]\n  20 -> 43 [size =\"29629440\"]\n  20 -> 44 [size =\"29629440\"]\n  21 [size=\"102382933\", alpha=\"0.17\", expect_size=\"30714880\"] \n  21 -> 30 [size =\"30714880\"]\n  21 -> 33 [size =\"30714880\"]\n  22 [size=\"86149120\", alpha=\"0.12\", expect_size=\"25844736\"] \n  22 -> 33 [size =\"25844736\"]\n  22 -> 36 [size =\"25844736\"]\n  22 -> 37 [size =\"25844736\"]\n  22 -> 40 [size =\"25844736\"]\n  23 [size=\"73632427\", alpha=\"0.19\", expect_size=\"22089728\"] \n  23 -> 32 [size =\"22089728\"]\n  23 -> 36 [size =\"22089728\"]\n  23 -> 37 [size =\"22089728\"]\n  24 [size=\"168062293\", alpha=\"0.12\", expect_size=\"50418688\"] \n  24 -> 30 [size =\"50418688\"]\n  24 -> 31 [size =\"50418688\"]\n  24 -> 32 [size =\"50418688\"]\n  24 -> 33 [size =\"50418688\"]\n  24 -> 34 [size =\"50418688\"]\n  24 -> 39 [size =\"50418688\"]\n  24 -> 40 [size =\"50418688\"]\n  25 [size=\"135871147\", alpha=\"0.03\", expect_size=\"40761344\"] \n  25 -> 32 [size =\"40761344\"]\n  25 -> 40 [size =\"40761344\"]\n  26 [size=\"154391893\", alpha=\"0.06\", expect_size=\"46317568\"] \n  26 -> 32 [size =\"46317568\"]\n  26 -> 44 [size =\"46317568\"]\n  27 [size=\"43987627\", alpha=\"0.07\", expect_size=\"13196288\"] \n  27 -> 35 [size =\"13196288\"]\n  28 [size=\"146394453\", alpha=\"0.11\", expect_size=\"43918336\"] \n  28 -> 30 [size =\"43918336\"]\n  28 -> 34 [size =\"43918336\"]\n  28 -> 37 [size =\"43918336\"]\n  28 -> 42 [size =\"43918336\"]\n  29 [size=\"69741227\", alpha=\"0.15\", expect_size=\"20922368\"] \n  29 -> 30 [size =\"20922368\"]\n  29 -> 31 [size =\"20922368\"]\n  29 -> 32 [size =\"20922368\"]\n  29 -> 33 [size =\"20922368\"]\n  29 -> 38 [size =\"20922368\"]\n  29 -> 40 [size =\"20922368\"]\n  30 [size=\"61723307\", alpha=\"0.10\", expect_size=\"18516992\"] \n  30 -> 47 [size =\"18516992\"]\n  31 [size=\"167567360\", alpha=\"0.04\", expect_size=\"50270208\"] \n  31 -> 48 [size =\"50270208\"]\n  31 -> 50 [size =\"50270208\"]\n  32 [size=\"145039360\", alpha=\"0.00\", expect_size=\"43511808\"] \n  32 -> 47 [size =\"43511808\"]\n  32 -> 48 [size =\"43511808\"]\n  33 [size=\"83350187\", alpha=\"0.03\", expect_size=\"25005056\"] \n  33 -> 45 [size =\"25005056\"]\n  33 -> 47 [size =\"25005056\"]\n  33 -> 49 [size =\"25005056\"]\n  33 -> 50 [size =\"25005056\"]\n  34 [size=\"73577813\", alpha=\"0.05\", expect_size=\"22073344\"] \n  34 -> 49 [size =\"22073344\"]\n  35 [size=\"166608213\", alpha=\"0.20\", expect_size=\"49982464\"] \n  36 [size=\"34904747\", alpha=\"0.19\", expect_size=\"10471424\"] \n  36 -> 47 [size =\"10471424\"]\n  36 -> 49 [size =\"10471424\"]\n  37 [size=\"85364053\", alpha=\"0.03\", expect_size=\"25609216\"] \n  37 -> 49 [size =\"25609216\"]\n  37 -> 50 [size =\"25609216\"]\n  38 [size=\"139393707\", alpha=\"0.03\", expect_size=\"41818112\"] \n  38 -> 50 [size =\"41818112\"]\n  39 [size=\"66461013\", alpha=\"0.07\", expect_size=\"19938304\"] \n  39 -> 49 [size =\"19938304\"]\n  40 [size=\"23623680\", alpha=\"0.01\", expect_size=\"7087104\"] \n  40 -> 46 [size =\"7087104\"]\n  40 -> 47 [size =\"7087104\"]\n  40 -> 48 [size =\"7087104\"]\n  40 -> 49 [size =\"7087104\"]\n  41 [size=\"105076053\", alpha=\"0.06\", expect_size=\"31522816\"] \n  41 -> 47 [size =\"31522816\"]\n  41 -> 48 [size =\"31522816\"]\n  42 [size=\"137038507\", alpha=\"0.20\", expect_size=\"41111552\"] \n  42 -> 46 [size =\"41111552\"]\n  42 -> 50 [size =\"41111552\"]\n  43 [size=\"139199147\", alpha=\"0.01\", expect_size=\"41759744\"] \n  43 -> 50 [size =\"41759744\"]\n  44 [size=\"163816107\", alpha=\"0.01\", expect_size=\"49144832\"] \n  44 -> 47 [size =\"49144832\"]\n  44 -> 48 [size =\"49144832\"]\n  44 -> 50 [size =\"49144832\"]\n  45 [size=\"44871680\", alpha=\"0.16\", expect_size=\"13461504\"] \n  46 [size=\"41492480\", alpha=\"0.08\", expect_size=\"12447744\"] \n  47 [size=\"31395840\", alpha=\"0.04\", expect_size=\"9418752\"] \n  48 [size=\"53548373\", alpha=\"0.16\", expect_size=\"16064512\"] \n  49 [size=\"78585173\", alpha=\"0.15\", expect_size=\"23575552\"] \n  50 [size=\"133679787\", alpha=\"0.19\", expect_size=\"40103936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.770.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56507733\", alpha=\"0.04\", expect_size=\"16952320\"] \n  1 -> 10 [size =\"16952320\"]\n  1 -> 11 [size =\"16952320\"]\n  1 -> 13 [size =\"16952320\"]\n  2 [size=\"30788267\", alpha=\"0.07\", expect_size=\"9236480\"] \n  2 -> 9 [size =\"9236480\"]\n  2 -> 11 [size =\"9236480\"]\n  2 -> 13 [size =\"9236480\"]\n  3 [size=\"27600213\", alpha=\"0.09\", expect_size=\"8280064\"] \n  3 -> 9 [size =\"8280064\"]\n  3 -> 11 [size =\"8280064\"]\n  3 -> 12 [size =\"8280064\"]\n  4 [size=\"117227520\", alpha=\"0.19\", expect_size=\"35168256\"] \n  4 -> 11 [size =\"35168256\"]\n  4 -> 12 [size =\"35168256\"]\n  4 -> 13 [size =\"35168256\"]\n  5 [size=\"162778453\", alpha=\"0.05\", expect_size=\"48833536\"] \n  6 [size=\"122668373\", alpha=\"0.19\", expect_size=\"36800512\"] \n  6 -> 10 [size =\"36800512\"]\n  6 -> 13 [size =\"36800512\"]\n  7 [size=\"61921280\", alpha=\"0.16\", expect_size=\"18576384\"] \n  7 -> 8 [size =\"18576384\"]\n  7 -> 11 [size =\"18576384\"]\n  8 [size=\"68116480\", alpha=\"0.13\", expect_size=\"20434944\"] \n  8 -> 15 [size =\"20434944\"]\n  8 -> 16 [size =\"20434944\"]\n  8 -> 18 [size =\"20434944\"]\n  9 [size=\"115701760\", alpha=\"0.01\", expect_size=\"34710528\"] \n  9 -> 15 [size =\"34710528\"]\n  9 -> 17 [size =\"34710528\"]\n  9 -> 18 [size =\"34710528\"]\n  10 [size=\"86801067\", alpha=\"0.16\", expect_size=\"26040320\"] \n  10 -> 15 [size =\"26040320\"]\n  10 -> 16 [size =\"26040320\"]\n  10 -> 17 [size =\"26040320\"]\n  10 -> 18 [size =\"26040320\"]\n  11 [size=\"146834773\", alpha=\"0.18\", expect_size=\"44050432\"] \n  11 -> 14 [size =\"44050432\"]\n  11 -> 15 [size =\"44050432\"]\n  11 -> 16 [size =\"44050432\"]\n  12 [size=\"18097493\", alpha=\"0.16\", expect_size=\"5429248\"] \n  12 -> 16 [size =\"5429248\"]\n  12 -> 17 [size =\"5429248\"]\n  12 -> 19 [size =\"5429248\"]\n  13 [size=\"71785813\", alpha=\"0.03\", expect_size=\"21535744\"] \n  13 -> 15 [size =\"21535744\"]\n  13 -> 16 [size =\"21535744\"]\n  13 -> 19 [size =\"21535744\"]\n  14 [size=\"140670293\", alpha=\"0.06\", expect_size=\"42201088\"] \n  14 -> 21 [size =\"42201088\"]\n  14 -> 25 [size =\"42201088\"]\n  15 [size=\"132293973\", alpha=\"0.19\", expect_size=\"39688192\"] \n  15 -> 20 [size =\"39688192\"]\n  15 -> 21 [size =\"39688192\"]\n  15 -> 23 [size =\"39688192\"]\n  15 -> 25 [size =\"39688192\"]\n  16 [size=\"174619307\", alpha=\"0.19\", expect_size=\"52385792\"] \n  16 -> 20 [size =\"52385792\"]\n  16 -> 21 [size =\"52385792\"]\n  16 -> 23 [size =\"52385792\"]\n  16 -> 25 [size =\"52385792\"]\n  17 [size=\"169533440\", alpha=\"0.04\", expect_size=\"50860032\"] \n  17 -> 21 [size =\"50860032\"]\n  17 -> 22 [size =\"50860032\"]\n  17 -> 23 [size =\"50860032\"]\n  17 -> 24 [size =\"50860032\"]\n  17 -> 25 [size =\"50860032\"]\n  18 [size=\"141185707\", alpha=\"0.20\", expect_size=\"42355712\"] \n  18 -> 23 [size =\"42355712\"]\n  19 [size=\"86633813\", alpha=\"0.00\", expect_size=\"25990144\"] \n  19 -> 20 [size =\"25990144\"]\n  19 -> 21 [size =\"25990144\"]\n  19 -> 22 [size =\"25990144\"]\n  19 -> 23 [size =\"25990144\"]\n  19 -> 24 [size =\"25990144\"]\n  20 [size=\"96662187\", alpha=\"0.04\", expect_size=\"28998656\"] \n  20 -> 26 [size =\"28998656\"]\n  20 -> 27 [size =\"28998656\"]\n  20 -> 29 [size =\"28998656\"]\n  20 -> 30 [size =\"28998656\"]\n  20 -> 30 [size =\"28998656\"]\n  21 [size=\"64617813\", alpha=\"0.14\", expect_size=\"19385344\"] \n  21 -> 26 [size =\"19385344\"]\n  21 -> 27 [size =\"19385344\"]\n  21 -> 28 [size =\"19385344\"]\n  21 -> 30 [size =\"19385344\"]\n  22 [size=\"52589227\", alpha=\"0.05\", expect_size=\"15776768\"] \n  22 -> 26 [size =\"15776768\"]\n  22 -> 27 [size =\"15776768\"]\n  22 -> 28 [size =\"15776768\"]\n  22 -> 32 [size =\"15776768\"]\n  23 [size=\"23022933\", alpha=\"0.17\", expect_size=\"6906880\"] \n  23 -> 26 [size =\"6906880\"]\n  23 -> 27 [size =\"6906880\"]\n  23 -> 28 [size =\"6906880\"]\n  23 -> 29 [size =\"6906880\"]\n  23 -> 30 [size =\"6906880\"]\n  23 -> 32 [size =\"6906880\"]\n  24 [size=\"45315413\", alpha=\"0.02\", expect_size=\"13594624\"] \n  24 -> 26 [size =\"13594624\"]\n  24 -> 27 [size =\"13594624\"]\n  24 -> 29 [size =\"13594624\"]\n  24 -> 30 [size =\"13594624\"]\n  24 -> 32 [size =\"13594624\"]\n  25 [size=\"89849173\", alpha=\"0.05\", expect_size=\"26954752\"] \n  25 -> 26 [size =\"26954752\"]\n  25 -> 27 [size =\"26954752\"]\n  25 -> 28 [size =\"26954752\"]\n  25 -> 29 [size =\"26954752\"]\n  25 -> 30 [size =\"26954752\"]\n  25 -> 31 [size =\"26954752\"]\n  26 [size=\"81087147\", alpha=\"0.02\", expect_size=\"24326144\"] \n  26 -> 34 [size =\"24326144\"]\n  26 -> 35 [size =\"24326144\"]\n  26 -> 38 [size =\"24326144\"]\n  26 -> 38 [size =\"24326144\"]\n  27 [size=\"70601387\", alpha=\"0.04\", expect_size=\"21180416\"] \n  27 -> 33 [size =\"21180416\"]\n  27 -> 34 [size =\"21180416\"]\n  27 -> 37 [size =\"21180416\"]\n  27 -> 38 [size =\"21180416\"]\n  28 [size=\"102888107\", alpha=\"0.13\", expect_size=\"30866432\"] \n  28 -> 33 [size =\"30866432\"]\n  28 -> 34 [size =\"30866432\"]\n  28 -> 35 [size =\"30866432\"]\n  28 -> 36 [size =\"30866432\"]\n  28 -> 37 [size =\"30866432\"]\n  29 [size=\"99252907\", alpha=\"0.14\", expect_size=\"29775872\"] \n  29 -> 33 [size =\"29775872\"]\n  29 -> 34 [size =\"29775872\"]\n  29 -> 35 [size =\"29775872\"]\n  29 -> 36 [size =\"29775872\"]\n  29 -> 37 [size =\"29775872\"]\n  30 [size=\"100515840\", alpha=\"0.04\", expect_size=\"30154752\"] \n  30 -> 33 [size =\"30154752\"]\n  30 -> 34 [size =\"30154752\"]\n  30 -> 36 [size =\"30154752\"]\n  30 -> 37 [size =\"30154752\"]\n  31 [size=\"135215787\", alpha=\"0.11\", expect_size=\"40564736\"] \n  31 -> 34 [size =\"40564736\"]\n  31 -> 34 [size =\"40564736\"]\n  31 -> 35 [size =\"40564736\"]\n  31 -> 38 [size =\"40564736\"]\n  32 [size=\"85104640\", alpha=\"0.18\", expect_size=\"25531392\"] \n  32 -> 35 [size =\"25531392\"]\n  32 -> 36 [size =\"25531392\"]\n  32 -> 37 [size =\"25531392\"]\n  32 -> 38 [size =\"25531392\"]\n  33 [size=\"120780800\", alpha=\"0.11\", expect_size=\"36234240\"] \n  33 -> 39 [size =\"36234240\"]\n  33 -> 41 [size =\"36234240\"]\n  33 -> 45 [size =\"36234240\"]\n  34 [size=\"95081813\", alpha=\"0.00\", expect_size=\"28524544\"] \n  34 -> 40 [size =\"28524544\"]\n  34 -> 41 [size =\"28524544\"]\n  34 -> 43 [size =\"28524544\"]\n  34 -> 44 [size =\"28524544\"]\n  34 -> 45 [size =\"28524544\"]\n  35 [size=\"107762347\", alpha=\"0.04\", expect_size=\"32328704\"] \n  35 -> 41 [size =\"32328704\"]\n  35 -> 42 [size =\"32328704\"]\n  35 -> 44 [size =\"32328704\"]\n  35 -> 44 [size =\"32328704\"]\n  35 -> 45 [size =\"32328704\"]\n  36 [size=\"146838187\", alpha=\"0.08\", expect_size=\"44051456\"] \n  36 -> 42 [size =\"44051456\"]\n  36 -> 43 [size =\"44051456\"]\n  36 -> 45 [size =\"44051456\"]\n  37 [size=\"160215040\", alpha=\"0.11\", expect_size=\"48064512\"] \n  37 -> 40 [size =\"48064512\"]\n  37 -> 41 [size =\"48064512\"]\n  37 -> 43 [size =\"48064512\"]\n  37 -> 44 [size =\"48064512\"]\n  37 -> 45 [size =\"48064512\"]\n  38 [size=\"35058347\", alpha=\"0.10\", expect_size=\"10517504\"] \n  38 -> 41 [size =\"10517504\"]\n  38 -> 43 [size =\"10517504\"]\n  38 -> 44 [size =\"10517504\"]\n  38 -> 45 [size =\"10517504\"]\n  39 [size=\"136577707\", alpha=\"0.18\", expect_size=\"40973312\"] \n  39 -> 46 [size =\"40973312\"]\n  39 -> 48 [size =\"40973312\"]\n  39 -> 49 [size =\"40973312\"]\n  39 -> 50 [size =\"40973312\"]\n  40 [size=\"91142827\", alpha=\"0.15\", expect_size=\"27342848\"] \n  40 -> 49 [size =\"27342848\"]\n  40 -> 50 [size =\"27342848\"]\n  41 [size=\"125368320\", alpha=\"0.19\", expect_size=\"37610496\"] \n  41 -> 49 [size =\"37610496\"]\n  41 -> 50 [size =\"37610496\"]\n  42 [size=\"54036480\", alpha=\"0.07\", expect_size=\"16210944\"] \n  42 -> 50 [size =\"16210944\"]\n  43 [size=\"35058347\", alpha=\"0.16\", expect_size=\"10517504\"] \n  43 -> 47 [size =\"10517504\"]\n  43 -> 49 [size =\"10517504\"]\n  43 -> 50 [size =\"10517504\"]\n  44 [size=\"122750293\", alpha=\"0.09\", expect_size=\"36825088\"] \n  44 -> 46 [size =\"36825088\"]\n  44 -> 49 [size =\"36825088\"]\n  45 [size=\"125733547\", alpha=\"0.10\", expect_size=\"37720064\"] \n  45 -> 49 [size =\"37720064\"]\n  45 -> 50 [size =\"37720064\"]\n  46 [size=\"158825813\", alpha=\"0.00\", expect_size=\"47647744\"] \n  47 [size=\"64600747\", alpha=\"0.17\", expect_size=\"19380224\"] \n  48 [size=\"152398507\", alpha=\"0.04\", expect_size=\"45719552\"] \n  49 [size=\"74076160\", alpha=\"0.02\", expect_size=\"22222848\"] \n  50 [size=\"56077653\", alpha=\"0.10\", expect_size=\"16823296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.771.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115985920\", alpha=\"0.14\", expect_size=\"46394368\"] \n  1 -> 7 [size =\"46394368\"]\n  1 -> 8 [size =\"46394368\"]\n  1 -> 11 [size =\"46394368\"]\n  1 -> 12 [size =\"46394368\"]\n  1 -> 13 [size =\"46394368\"]\n  2 [size=\"63106560\", alpha=\"0.19\", expect_size=\"25242624\"] \n  2 -> 8 [size =\"25242624\"]\n  2 -> 11 [size =\"25242624\"]\n  2 -> 13 [size =\"25242624\"]\n  3 [size=\"79861760\", alpha=\"0.06\", expect_size=\"31944704\"] \n  3 -> 10 [size =\"31944704\"]\n  4 [size=\"93841920\", alpha=\"0.16\", expect_size=\"37536768\"] \n  4 -> 7 [size =\"37536768\"]\n  4 -> 9 [size =\"37536768\"]\n  5 [size=\"83194880\", alpha=\"0.14\", expect_size=\"33277952\"] \n  5 -> 10 [size =\"33277952\"]\n  5 -> 11 [size =\"33277952\"]\n  5 -> 13 [size =\"33277952\"]\n  6 [size=\"65162240\", alpha=\"0.19\", expect_size=\"26064896\"] \n  6 -> 10 [size =\"26064896\"]\n  6 -> 11 [size =\"26064896\"]\n  6 -> 12 [size =\"26064896\"]\n  7 [size=\"41154560\", alpha=\"0.11\", expect_size=\"16461824\"] \n  7 -> 18 [size =\"16461824\"]\n  7 -> 20 [size =\"16461824\"]\n  8 [size=\"71101440\", alpha=\"0.12\", expect_size=\"28440576\"] \n  8 -> 15 [size =\"28440576\"]\n  8 -> 16 [size =\"28440576\"]\n  8 -> 20 [size =\"28440576\"]\n  9 [size=\"28175360\", alpha=\"0.13\", expect_size=\"11270144\"] \n  9 -> 15 [size =\"11270144\"]\n  9 -> 17 [size =\"11270144\"]\n  9 -> 19 [size =\"11270144\"]\n  9 -> 20 [size =\"11270144\"]\n  10 [size=\"109928960\", alpha=\"0.12\", expect_size=\"43971584\"] \n  10 -> 14 [size =\"43971584\"]\n  10 -> 15 [size =\"43971584\"]\n  10 -> 16 [size =\"43971584\"]\n  10 -> 18 [size =\"43971584\"]\n  10 -> 20 [size =\"43971584\"]\n  11 [size=\"107801600\", alpha=\"0.19\", expect_size=\"43120640\"] \n  11 -> 14 [size =\"43120640\"]\n  11 -> 20 [size =\"43120640\"]\n  12 [size=\"73886720\", alpha=\"0.13\", expect_size=\"29554688\"] \n  12 -> 17 [size =\"29554688\"]\n  12 -> 19 [size =\"29554688\"]\n  13 [size=\"69063680\", alpha=\"0.18\", expect_size=\"27625472\"] \n  13 -> 16 [size =\"27625472\"]\n  13 -> 18 [size =\"27625472\"]\n  14 [size=\"106575360\", alpha=\"0.09\", expect_size=\"42630144\"] \n  14 -> 21 [size =\"42630144\"]\n  14 -> 22 [size =\"42630144\"]\n  14 -> 25 [size =\"42630144\"]\n  14 -> 26 [size =\"42630144\"]\n  15 [size=\"81843200\", alpha=\"0.15\", expect_size=\"32737280\"] \n  15 -> 21 [size =\"32737280\"]\n  15 -> 22 [size =\"32737280\"]\n  15 -> 25 [size =\"32737280\"]\n  16 [size=\"46269440\", alpha=\"0.04\", expect_size=\"18507776\"] \n  16 -> 21 [size =\"18507776\"]\n  17 [size=\"40906240\", alpha=\"0.18\", expect_size=\"16362496\"] \n  17 -> 21 [size =\"16362496\"]\n  17 -> 22 [size =\"16362496\"]\n  17 -> 23 [size =\"16362496\"]\n  17 -> 25 [size =\"16362496\"]\n  18 [size=\"104430080\", alpha=\"0.19\", expect_size=\"41772032\"] \n  18 -> 22 [size =\"41772032\"]\n  18 -> 25 [size =\"41772032\"]\n  19 [size=\"56680960\", alpha=\"0.18\", expect_size=\"22672384\"] \n  19 -> 21 [size =\"22672384\"]\n  19 -> 25 [size =\"22672384\"]\n  20 [size=\"15859200\", alpha=\"0.19\", expect_size=\"6343680\"] \n  20 -> 22 [size =\"6343680\"]\n  20 -> 24 [size =\"6343680\"]\n  21 [size=\"88773120\", alpha=\"0.18\", expect_size=\"35509248\"] \n  21 -> 28 [size =\"35509248\"]\n  21 -> 30 [size =\"35509248\"]\n  21 -> 32 [size =\"35509248\"]\n  22 [size=\"80089600\", alpha=\"0.05\", expect_size=\"32035840\"] \n  22 -> 27 [size =\"32035840\"]\n  22 -> 28 [size =\"32035840\"]\n  22 -> 32 [size =\"32035840\"]\n  22 -> 33 [size =\"32035840\"]\n  23 [size=\"36636160\", alpha=\"0.03\", expect_size=\"14654464\"] \n  23 -> 27 [size =\"14654464\"]\n  23 -> 30 [size =\"14654464\"]\n  23 -> 33 [size =\"14654464\"]\n  24 [size=\"24586240\", alpha=\"0.15\", expect_size=\"9834496\"] \n  24 -> 32 [size =\"9834496\"]\n  24 -> 33 [size =\"9834496\"]\n  25 [size=\"77271040\", alpha=\"0.19\", expect_size=\"30908416\"] \n  25 -> 28 [size =\"30908416\"]\n  25 -> 29 [size =\"30908416\"]\n  25 -> 31 [size =\"30908416\"]\n  25 -> 32 [size =\"30908416\"]\n  26 [size=\"46801920\", alpha=\"0.12\", expect_size=\"18720768\"] \n  26 -> 29 [size =\"18720768\"]\n  26 -> 31 [size =\"18720768\"]\n  26 -> 33 [size =\"18720768\"]\n  27 [size=\"72842240\", alpha=\"0.09\", expect_size=\"29136896\"] \n  27 -> 37 [size =\"29136896\"]\n  28 [size=\"63518720\", alpha=\"0.17\", expect_size=\"25407488\"] \n  28 -> 34 [size =\"25407488\"]\n  28 -> 38 [size =\"25407488\"]\n  28 -> 39 [size =\"25407488\"]\n  29 [size=\"59934720\", alpha=\"0.07\", expect_size=\"23973888\"] \n  29 -> 34 [size =\"23973888\"]\n  30 [size=\"47214080\", alpha=\"0.13\", expect_size=\"18885632\"] \n  30 -> 34 [size =\"18885632\"]\n  30 -> 35 [size =\"18885632\"]\n  31 [size=\"41167360\", alpha=\"0.15\", expect_size=\"16466944\"] \n  31 -> 34 [size =\"16466944\"]\n  31 -> 39 [size =\"16466944\"]\n  32 [size=\"26705920\", alpha=\"0.08\", expect_size=\"10682368\"] \n  32 -> 34 [size =\"10682368\"]\n  32 -> 35 [size =\"10682368\"]\n  32 -> 36 [size =\"10682368\"]\n  32 -> 39 [size =\"10682368\"]\n  33 [size=\"53834240\", alpha=\"0.10\", expect_size=\"21533696\"] \n  33 -> 38 [size =\"21533696\"]\n  34 [size=\"71339520\", alpha=\"0.08\", expect_size=\"28535808\"] \n  34 -> 41 [size =\"28535808\"]\n  34 -> 44 [size =\"28535808\"]\n  35 [size=\"41991680\", alpha=\"0.18\", expect_size=\"16796672\"] \n  35 -> 43 [size =\"16796672\"]\n  35 -> 44 [size =\"16796672\"]\n  35 -> 45 [size =\"16796672\"]\n  35 -> 46 [size =\"16796672\"]\n  36 [size=\"35880960\", alpha=\"0.13\", expect_size=\"14352384\"] \n  36 -> 43 [size =\"14352384\"]\n  36 -> 45 [size =\"14352384\"]\n  36 -> 46 [size =\"14352384\"]\n  37 [size=\"105062400\", alpha=\"0.13\", expect_size=\"42024960\"] \n  37 -> 41 [size =\"42024960\"]\n  37 -> 43 [size =\"42024960\"]\n  37 -> 44 [size =\"42024960\"]\n  37 -> 45 [size =\"42024960\"]\n  37 -> 46 [size =\"42024960\"]\n  38 [size=\"41653760\", alpha=\"0.09\", expect_size=\"16661504\"] \n  38 -> 44 [size =\"16661504\"]\n  38 -> 46 [size =\"16661504\"]\n  39 [size=\"21619200\", alpha=\"0.11\", expect_size=\"8647680\"] \n  39 -> 40 [size =\"8647680\"]\n  39 -> 42 [size =\"8647680\"]\n  39 -> 45 [size =\"8647680\"]\n  40 [size=\"60024320\", alpha=\"0.15\", expect_size=\"24009728\"] \n  40 -> 47 [size =\"24009728\"]\n  40 -> 48 [size =\"24009728\"]\n  41 [size=\"17768960\", alpha=\"0.11\", expect_size=\"7107584\"] \n  42 [size=\"107504640\", alpha=\"0.18\", expect_size=\"43001856\"] \n  42 -> 50 [size =\"43001856\"]\n  43 [size=\"36124160\", alpha=\"0.10\", expect_size=\"14449664\"] \n  43 -> 49 [size =\"14449664\"]\n  43 -> 50 [size =\"14449664\"]\n  44 [size=\"95511040\", alpha=\"0.03\", expect_size=\"38204416\"] \n  44 -> 47 [size =\"38204416\"]\n  44 -> 48 [size =\"38204416\"]\n  45 [size=\"25236480\", alpha=\"0.08\", expect_size=\"10094592\"] \n  45 -> 50 [size =\"10094592\"]\n  46 [size=\"129971200\", alpha=\"0.18\", expect_size=\"51988480\"] \n  46 -> 48 [size =\"51988480\"]\n  47 [size=\"88985600\", alpha=\"0.18\", expect_size=\"35594240\"] \n  48 [size=\"48040960\", alpha=\"0.07\", expect_size=\"19216384\"] \n  49 [size=\"98462720\", alpha=\"0.03\", expect_size=\"39385088\"] \n  50 [size=\"47900160\", alpha=\"0.06\", expect_size=\"19160064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.772.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128566613\", alpha=\"0.11\", expect_size=\"38569984\"] \n  1 -> 4 [size =\"38569984\"]\n  2 [size=\"118831787\", alpha=\"0.17\", expect_size=\"35649536\"] \n  2 -> 3 [size =\"35649536\"]\n  3 [size=\"34833067\", alpha=\"0.03\", expect_size=\"10449920\"] \n  3 -> 5 [size =\"10449920\"]\n  4 [size=\"106035200\", alpha=\"0.09\", expect_size=\"31810560\"] \n  4 -> 6 [size =\"31810560\"]\n  5 [size=\"19712000\", alpha=\"0.13\", expect_size=\"5913600\"] \n  5 -> 7 [size =\"5913600\"]\n  6 [size=\"27245227\", alpha=\"0.06\", expect_size=\"8173568\"] \n  6 -> 8 [size =\"8173568\"]\n  7 [size=\"114752853\", alpha=\"0.05\", expect_size=\"34425856\"] \n  8 [size=\"69594453\", alpha=\"0.05\", expect_size=\"20878336\"] \n  8 -> 9 [size =\"20878336\"]\n  8 -> 10 [size =\"20878336\"]\n  9 [size=\"154641067\", alpha=\"0.18\", expect_size=\"46392320\"] \n  9 -> 11 [size =\"46392320\"]\n  9 -> 12 [size =\"46392320\"]\n  10 [size=\"21777067\", alpha=\"0.06\", expect_size=\"6533120\"] \n  11 [size=\"113537707\", alpha=\"0.04\", expect_size=\"34061312\"] \n  11 -> 15 [size =\"34061312\"]\n  12 [size=\"45574827\", alpha=\"0.12\", expect_size=\"13672448\"] \n  12 -> 13 [size =\"13672448\"]\n  12 -> 14 [size =\"13672448\"]\n  13 [size=\"25197227\", alpha=\"0.03\", expect_size=\"7559168\"] \n  13 -> 17 [size =\"7559168\"]\n  14 [size=\"52428800\", alpha=\"0.17\", expect_size=\"15728640\"] \n  14 -> 16 [size =\"15728640\"]\n  14 -> 18 [size =\"15728640\"]\n  15 [size=\"121227947\", alpha=\"0.01\", expect_size=\"36368384\"] \n  15 -> 17 [size =\"36368384\"]\n  16 [size=\"62313813\", alpha=\"0.07\", expect_size=\"18694144\"] \n  17 [size=\"109301760\", alpha=\"0.11\", expect_size=\"32790528\"] \n  17 -> 19 [size =\"32790528\"]\n  17 -> 20 [size =\"32790528\"]\n  17 -> 21 [size =\"32790528\"]\n  18 [size=\"150357333\", alpha=\"0.00\", expect_size=\"45107200\"] \n  18 -> 20 [size =\"45107200\"]\n  19 [size=\"32498347\", alpha=\"0.10\", expect_size=\"9749504\"] \n  19 -> 23 [size =\"9749504\"]\n  20 [size=\"19042987\", alpha=\"0.13\", expect_size=\"5712896\"] \n  20 -> 22 [size =\"5712896\"]\n  20 -> 23 [size =\"5712896\"]\n  21 [size=\"69986987\", alpha=\"0.11\", expect_size=\"20996096\"] \n  21 -> 24 [size =\"20996096\"]\n  22 [size=\"100922027\", alpha=\"0.01\", expect_size=\"30276608\"] \n  22 -> 25 [size =\"30276608\"]\n  23 [size=\"37720747\", alpha=\"0.14\", expect_size=\"11316224\"] \n  24 [size=\"60593493\", alpha=\"0.18\", expect_size=\"18178048\"] \n  24 -> 25 [size =\"18178048\"]\n  24 -> 26 [size =\"18178048\"]\n  24 -> 27 [size =\"18178048\"]\n  25 [size=\"40666453\", alpha=\"0.02\", expect_size=\"12199936\"] \n  26 [size=\"51640320\", alpha=\"0.07\", expect_size=\"15492096\"] \n  26 -> 28 [size =\"15492096\"]\n  27 [size=\"103386453\", alpha=\"0.05\", expect_size=\"31015936\"] \n  27 -> 29 [size =\"31015936\"]\n  28 [size=\"33522347\", alpha=\"0.09\", expect_size=\"10056704\"] \n  28 -> 32 [size =\"10056704\"]\n  29 [size=\"35345067\", alpha=\"0.11\", expect_size=\"10603520\"] \n  29 -> 30 [size =\"10603520\"]\n  29 -> 31 [size =\"10603520\"]\n  30 [size=\"113039360\", alpha=\"0.13\", expect_size=\"33911808\"] \n  30 -> 34 [size =\"33911808\"]\n  31 [size=\"59907413\", alpha=\"0.08\", expect_size=\"17972224\"] \n  31 -> 35 [size =\"17972224\"]\n  32 [size=\"144325973\", alpha=\"0.06\", expect_size=\"43297792\"] \n  32 -> 33 [size =\"43297792\"]\n  33 [size=\"153088000\", alpha=\"0.05\", expect_size=\"45926400\"] \n  34 [size=\"103543467\", alpha=\"0.09\", expect_size=\"31063040\"] \n  34 -> 37 [size =\"31063040\"]\n  35 [size=\"84258133\", alpha=\"0.06\", expect_size=\"25277440\"] \n  35 -> 36 [size =\"25277440\"]\n  36 [size=\"97467733\", alpha=\"0.08\", expect_size=\"29240320\"] \n  36 -> 38 [size =\"29240320\"]\n  36 -> 39 [size =\"29240320\"]\n  36 -> 40 [size =\"29240320\"]\n  37 [size=\"152944640\", alpha=\"0.02\", expect_size=\"45883392\"] \n  38 [size=\"33389227\", alpha=\"0.13\", expect_size=\"10016768\"] \n  38 -> 41 [size =\"10016768\"]\n  38 -> 42 [size =\"10016768\"]\n  39 [size=\"105499307\", alpha=\"0.06\", expect_size=\"31649792\"] \n  40 [size=\"34577067\", alpha=\"0.19\", expect_size=\"10373120\"] \n  41 [size=\"139499520\", alpha=\"0.19\", expect_size=\"41849856\"] \n  41 -> 44 [size =\"41849856\"]\n  42 [size=\"44472320\", alpha=\"0.10\", expect_size=\"13341696\"] \n  42 -> 43 [size =\"13341696\"]\n  42 -> 45 [size =\"13341696\"]\n  43 [size=\"92166827\", alpha=\"0.03\", expect_size=\"27650048\"] \n  43 -> 47 [size =\"27650048\"]\n  44 [size=\"133021013\", alpha=\"0.01\", expect_size=\"39906304\"] \n  44 -> 46 [size =\"39906304\"]\n  44 -> 47 [size =\"39906304\"]\n  45 [size=\"44701013\", alpha=\"0.03\", expect_size=\"13410304\"] \n  46 [size=\"88248320\", alpha=\"0.08\", expect_size=\"26474496\"] \n  46 -> 48 [size =\"26474496\"]\n  47 [size=\"151210667\", alpha=\"0.05\", expect_size=\"45363200\"] \n  47 -> 49 [size =\"45363200\"]\n  47 -> 50 [size =\"45363200\"]\n  48 [size=\"168137387\", alpha=\"0.04\", expect_size=\"50441216\"] \n  49 [size=\"114616320\", alpha=\"0.05\", expect_size=\"34384896\"] \n  50 [size=\"162966187\", alpha=\"0.18\", expect_size=\"48889856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.773.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49557504\", alpha=\"0.08\", expect_size=\"24778752\"] \n  1 -> 20 [size =\"24778752\"]\n  1 -> 22 [size =\"24778752\"]\n  1 -> 31 [size =\"24778752\"]\n  2 [size=\"24094720\", alpha=\"0.13\", expect_size=\"12047360\"] \n  2 -> 20 [size =\"12047360\"]\n  2 -> 21 [size =\"12047360\"]\n  2 -> 25 [size =\"12047360\"]\n  2 -> 28 [size =\"12047360\"]\n  3 [size=\"79319040\", alpha=\"0.16\", expect_size=\"39659520\"] \n  3 -> 21 [size =\"39659520\"]\n  3 -> 23 [size =\"39659520\"]\n  3 -> 25 [size =\"39659520\"]\n  3 -> 31 [size =\"39659520\"]\n  4 [size=\"71028736\", alpha=\"0.02\", expect_size=\"35514368\"] \n  4 -> 20 [size =\"35514368\"]\n  4 -> 21 [size =\"35514368\"]\n  4 -> 22 [size =\"35514368\"]\n  4 -> 24 [size =\"35514368\"]\n  5 [size=\"11948032\", alpha=\"0.06\", expect_size=\"5974016\"] \n  5 -> 21 [size =\"5974016\"]\n  5 -> 23 [size =\"5974016\"]\n  5 -> 28 [size =\"5974016\"]\n  5 -> 30 [size =\"5974016\"]\n  6 [size=\"95784960\", alpha=\"0.10\", expect_size=\"47892480\"] \n  6 -> 20 [size =\"47892480\"]\n  6 -> 30 [size =\"47892480\"]\n  7 [size=\"102031360\", alpha=\"0.07\", expect_size=\"51015680\"] \n  7 -> 20 [size =\"51015680\"]\n  7 -> 21 [size =\"51015680\"]\n  7 -> 26 [size =\"51015680\"]\n  7 -> 27 [size =\"51015680\"]\n  7 -> 30 [size =\"51015680\"]\n  8 [size=\"88375296\", alpha=\"0.09\", expect_size=\"44187648\"] \n  8 -> 21 [size =\"44187648\"]\n  8 -> 22 [size =\"44187648\"]\n  8 -> 26 [size =\"44187648\"]\n  8 -> 28 [size =\"44187648\"]\n  8 -> 31 [size =\"44187648\"]\n  9 [size=\"91103232\", alpha=\"0.09\", expect_size=\"45551616\"] \n  9 -> 21 [size =\"45551616\"]\n  9 -> 27 [size =\"45551616\"]\n  9 -> 28 [size =\"45551616\"]\n  10 [size=\"89284608\", alpha=\"0.11\", expect_size=\"44642304\"] \n  10 -> 21 [size =\"44642304\"]\n  10 -> 22 [size =\"44642304\"]\n  10 -> 23 [size =\"44642304\"]\n  10 -> 28 [size =\"44642304\"]\n  10 -> 30 [size =\"44642304\"]\n  11 [size=\"73046016\", alpha=\"0.11\", expect_size=\"36523008\"] \n  11 -> 20 [size =\"36523008\"]\n  11 -> 25 [size =\"36523008\"]\n  11 -> 31 [size =\"36523008\"]\n  12 [size=\"15951872\", alpha=\"0.12\", expect_size=\"7975936\"] \n  12 -> 20 [size =\"7975936\"]\n  12 -> 21 [size =\"7975936\"]\n  12 -> 28 [size =\"7975936\"]\n  12 -> 31 [size =\"7975936\"]\n  13 [size=\"75524096\", alpha=\"0.13\", expect_size=\"37762048\"] \n  13 -> 20 [size =\"37762048\"]\n  13 -> 27 [size =\"37762048\"]\n  13 -> 28 [size =\"37762048\"]\n  13 -> 31 [size =\"37762048\"]\n  14 [size=\"55875584\", alpha=\"0.03\", expect_size=\"27937792\"] \n  14 -> 21 [size =\"27937792\"]\n  14 -> 25 [size =\"27937792\"]\n  15 [size=\"63657984\", alpha=\"0.08\", expect_size=\"31828992\"] \n  15 -> 30 [size =\"31828992\"]\n  16 [size=\"91512832\", alpha=\"0.14\", expect_size=\"45756416\"] \n  16 -> 31 [size =\"45756416\"]\n  17 [size=\"42471424\", alpha=\"0.12\", expect_size=\"21235712\"] \n  17 -> 21 [size =\"21235712\"]\n  17 -> 27 [size =\"21235712\"]\n  17 -> 29 [size =\"21235712\"]\n  17 -> 31 [size =\"21235712\"]\n  18 [size=\"76390400\", alpha=\"0.03\", expect_size=\"38195200\"] \n  18 -> 27 [size =\"38195200\"]\n  18 -> 28 [size =\"38195200\"]\n  18 -> 31 [size =\"38195200\"]\n  19 [size=\"23203840\", alpha=\"0.16\", expect_size=\"11601920\"] \n  19 -> 20 [size =\"11601920\"]\n  19 -> 31 [size =\"11601920\"]\n  19 -> 31 [size =\"11601920\"]\n  20 [size=\"66363392\", alpha=\"0.15\", expect_size=\"33181696\"] \n  20 -> 32 [size =\"33181696\"]\n  20 -> 35 [size =\"33181696\"]\n  20 -> 36 [size =\"33181696\"]\n  20 -> 42 [size =\"33181696\"]\n  21 [size=\"22016000\", alpha=\"0.03\", expect_size=\"11008000\"] \n  21 -> 32 [size =\"11008000\"]\n  21 -> 34 [size =\"11008000\"]\n  21 -> 36 [size =\"11008000\"]\n  21 -> 37 [size =\"11008000\"]\n  21 -> 38 [size =\"11008000\"]\n  21 -> 42 [size =\"11008000\"]\n  22 [size=\"72321024\", alpha=\"0.13\", expect_size=\"36160512\"] \n  22 -> 36 [size =\"36160512\"]\n  23 [size=\"35489792\", alpha=\"0.18\", expect_size=\"17744896\"] \n  23 -> 35 [size =\"17744896\"]\n  23 -> 38 [size =\"17744896\"]\n  24 [size=\"97781760\", alpha=\"0.16\", expect_size=\"48890880\"] \n  24 -> 34 [size =\"48890880\"]\n  25 [size=\"19154944\", alpha=\"0.14\", expect_size=\"9577472\"] \n  25 -> 38 [size =\"9577472\"]\n  25 -> 42 [size =\"9577472\"]\n  26 [size=\"54775808\", alpha=\"0.10\", expect_size=\"27387904\"] \n  26 -> 32 [size =\"27387904\"]\n  26 -> 34 [size =\"27387904\"]\n  26 -> 35 [size =\"27387904\"]\n  26 -> 36 [size =\"27387904\"]\n  26 -> 37 [size =\"27387904\"]\n  26 -> 38 [size =\"27387904\"]\n  27 [size=\"28710912\", alpha=\"0.05\", expect_size=\"14355456\"] \n  27 -> 33 [size =\"14355456\"]\n  27 -> 34 [size =\"14355456\"]\n  27 -> 35 [size =\"14355456\"]\n  27 -> 37 [size =\"14355456\"]\n  27 -> 41 [size =\"14355456\"]\n  27 -> 42 [size =\"14355456\"]\n  28 [size=\"85776384\", alpha=\"0.18\", expect_size=\"42888192\"] \n  28 -> 34 [size =\"42888192\"]\n  28 -> 38 [size =\"42888192\"]\n  28 -> 41 [size =\"42888192\"]\n  29 [size=\"97816576\", alpha=\"0.07\", expect_size=\"48908288\"] \n  29 -> 34 [size =\"48908288\"]\n  29 -> 41 [size =\"48908288\"]\n  29 -> 42 [size =\"48908288\"]\n  30 [size=\"79872000\", alpha=\"0.12\", expect_size=\"39936000\"] \n  30 -> 32 [size =\"39936000\"]\n  30 -> 38 [size =\"39936000\"]\n  30 -> 39 [size =\"39936000\"]\n  30 -> 42 [size =\"39936000\"]\n  31 [size=\"57950208\", alpha=\"0.12\", expect_size=\"28975104\"] \n  31 -> 33 [size =\"28975104\"]\n  31 -> 35 [size =\"28975104\"]\n  31 -> 36 [size =\"28975104\"]\n  31 -> 38 [size =\"28975104\"]\n  31 -> 39 [size =\"28975104\"]\n  31 -> 40 [size =\"28975104\"]\n  31 -> 42 [size =\"28975104\"]\n  32 [size=\"71129088\", alpha=\"0.12\", expect_size=\"35564544\"] \n  32 -> 43 [size =\"35564544\"]\n  32 -> 45 [size =\"35564544\"]\n  32 -> 49 [size =\"35564544\"]\n  33 [size=\"38643712\", alpha=\"0.06\", expect_size=\"19321856\"] \n  33 -> 43 [size =\"19321856\"]\n  33 -> 47 [size =\"19321856\"]\n  33 -> 48 [size =\"19321856\"]\n  34 [size=\"29327360\", alpha=\"0.09\", expect_size=\"14663680\"] \n  34 -> 44 [size =\"14663680\"]\n  34 -> 46 [size =\"14663680\"]\n  34 -> 47 [size =\"14663680\"]\n  34 -> 48 [size =\"14663680\"]\n  34 -> 49 [size =\"14663680\"]\n  34 -> 50 [size =\"14663680\"]\n  35 [size=\"103727104\", alpha=\"0.04\", expect_size=\"51863552\"] \n  35 -> 48 [size =\"51863552\"]\n  36 [size=\"74561536\", alpha=\"0.16\", expect_size=\"37280768\"] \n  36 -> 50 [size =\"37280768\"]\n  37 [size=\"27129856\", alpha=\"0.15\", expect_size=\"13564928\"] \n  37 -> 43 [size =\"13564928\"]\n  37 -> 48 [size =\"13564928\"]\n  37 -> 50 [size =\"13564928\"]\n  38 [size=\"52979712\", alpha=\"0.08\", expect_size=\"26489856\"] \n  38 -> 43 [size =\"26489856\"]\n  38 -> 47 [size =\"26489856\"]\n  39 [size=\"41256960\", alpha=\"0.04\", expect_size=\"20628480\"] \n  39 -> 49 [size =\"20628480\"]\n  40 [size=\"72581120\", alpha=\"0.11\", expect_size=\"36290560\"] \n  40 -> 43 [size =\"36290560\"]\n  40 -> 47 [size =\"36290560\"]\n  40 -> 48 [size =\"36290560\"]\n  40 -> 49 [size =\"36290560\"]\n  41 [size=\"37007360\", alpha=\"0.01\", expect_size=\"18503680\"] \n  41 -> 43 [size =\"18503680\"]\n  41 -> 44 [size =\"18503680\"]\n  41 -> 45 [size =\"18503680\"]\n  42 [size=\"91467776\", alpha=\"0.04\", expect_size=\"45733888\"] \n  42 -> 43 [size =\"45733888\"]\n  42 -> 44 [size =\"45733888\"]\n  42 -> 46 [size =\"45733888\"]\n  42 -> 47 [size =\"45733888\"]\n  43 [size=\"52686848\", alpha=\"0.12\", expect_size=\"26343424\"] \n  44 [size=\"80074752\", alpha=\"0.19\", expect_size=\"40037376\"] \n  45 [size=\"30279680\", alpha=\"0.07\", expect_size=\"15139840\"] \n  46 [size=\"50845696\", alpha=\"0.05\", expect_size=\"25422848\"] \n  47 [size=\"34058240\", alpha=\"0.07\", expect_size=\"17029120\"] \n  48 [size=\"11902976\", alpha=\"0.05\", expect_size=\"5951488\"] \n  49 [size=\"50284544\", alpha=\"0.01\", expect_size=\"25142272\"] \n  50 [size=\"67551232\", alpha=\"0.12\", expect_size=\"33775616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.774.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88867840\", alpha=\"0.02\", expect_size=\"35547136\"] \n  1 -> 2 [size =\"35547136\"]\n  2 [size=\"76546560\", alpha=\"0.19\", expect_size=\"30618624\"] \n  2 -> 3 [size =\"30618624\"]\n  3 [size=\"53793280\", alpha=\"0.06\", expect_size=\"21517312\"] \n  3 -> 4 [size =\"21517312\"]\n  4 [size=\"120604160\", alpha=\"0.10\", expect_size=\"48241664\"] \n  4 -> 5 [size =\"48241664\"]\n  5 [size=\"34298880\", alpha=\"0.18\", expect_size=\"13719552\"] \n  5 -> 6 [size =\"13719552\"]\n  6 [size=\"62840320\", alpha=\"0.15\", expect_size=\"25136128\"] \n  6 -> 7 [size =\"25136128\"]\n  7 [size=\"105948160\", alpha=\"0.06\", expect_size=\"42379264\"] \n  7 -> 8 [size =\"42379264\"]\n  8 [size=\"67466240\", alpha=\"0.15\", expect_size=\"26986496\"] \n  8 -> 9 [size =\"26986496\"]\n  9 [size=\"100203520\", alpha=\"0.04\", expect_size=\"40081408\"] \n  9 -> 10 [size =\"40081408\"]\n  10 [size=\"75496960\", alpha=\"0.08\", expect_size=\"30198784\"] \n  10 -> 11 [size =\"30198784\"]\n  11 [size=\"14858240\", alpha=\"0.02\", expect_size=\"5943296\"] \n  11 -> 12 [size =\"5943296\"]\n  12 [size=\"25661440\", alpha=\"0.20\", expect_size=\"10264576\"] \n  12 -> 13 [size =\"10264576\"]\n  13 [size=\"17492480\", alpha=\"0.06\", expect_size=\"6996992\"] \n  13 -> 14 [size =\"6996992\"]\n  14 [size=\"50905600\", alpha=\"0.00\", expect_size=\"20362240\"] \n  14 -> 15 [size =\"20362240\"]\n  15 [size=\"110269440\", alpha=\"0.03\", expect_size=\"44107776\"] \n  15 -> 16 [size =\"44107776\"]\n  16 [size=\"99407360\", alpha=\"0.00\", expect_size=\"39762944\"] \n  16 -> 17 [size =\"39762944\"]\n  17 [size=\"71726080\", alpha=\"0.18\", expect_size=\"28690432\"] \n  17 -> 18 [size =\"28690432\"]\n  18 [size=\"109511680\", alpha=\"0.20\", expect_size=\"43804672\"] \n  18 -> 19 [size =\"43804672\"]\n  19 [size=\"81364480\", alpha=\"0.02\", expect_size=\"32545792\"] \n  19 -> 20 [size =\"32545792\"]\n  20 [size=\"105779200\", alpha=\"0.03\", expect_size=\"42311680\"] \n  20 -> 21 [size =\"42311680\"]\n  21 [size=\"36080640\", alpha=\"0.16\", expect_size=\"14432256\"] \n  21 -> 22 [size =\"14432256\"]\n  22 [size=\"50641920\", alpha=\"0.20\", expect_size=\"20256768\"] \n  22 -> 23 [size =\"20256768\"]\n  23 [size=\"48993280\", alpha=\"0.11\", expect_size=\"19597312\"] \n  23 -> 24 [size =\"19597312\"]\n  24 [size=\"86876160\", alpha=\"0.20\", expect_size=\"34750464\"] \n  24 -> 25 [size =\"34750464\"]\n  25 [size=\"87114240\", alpha=\"0.12\", expect_size=\"34845696\"] \n  25 -> 26 [size =\"34845696\"]\n  26 [size=\"103298560\", alpha=\"0.13\", expect_size=\"41319424\"] \n  26 -> 27 [size =\"41319424\"]\n  27 [size=\"105259520\", alpha=\"0.10\", expect_size=\"42103808\"] \n  27 -> 28 [size =\"42103808\"]\n  28 [size=\"91550720\", alpha=\"0.16\", expect_size=\"36620288\"] \n  28 -> 29 [size =\"36620288\"]\n  29 [size=\"91281920\", alpha=\"0.17\", expect_size=\"36512768\"] \n  29 -> 30 [size =\"36512768\"]\n  30 [size=\"104970240\", alpha=\"0.08\", expect_size=\"41988096\"] \n  30 -> 31 [size =\"41988096\"]\n  31 [size=\"120547840\", alpha=\"0.20\", expect_size=\"48219136\"] \n  31 -> 32 [size =\"48219136\"]\n  32 [size=\"95808000\", alpha=\"0.14\", expect_size=\"38323200\"] \n  32 -> 33 [size =\"38323200\"]\n  33 [size=\"94192640\", alpha=\"0.08\", expect_size=\"37677056\"] \n  33 -> 34 [size =\"37677056\"]\n  34 [size=\"38425600\", alpha=\"0.09\", expect_size=\"15370240\"] \n  34 -> 35 [size =\"15370240\"]\n  35 [size=\"36001280\", alpha=\"0.07\", expect_size=\"14400512\"] \n  35 -> 36 [size =\"14400512\"]\n  36 [size=\"108119040\", alpha=\"0.19\", expect_size=\"43247616\"] \n  36 -> 37 [size =\"43247616\"]\n  37 [size=\"68577280\", alpha=\"0.01\", expect_size=\"27430912\"] \n  37 -> 38 [size =\"27430912\"]\n  38 [size=\"128189440\", alpha=\"0.19\", expect_size=\"51275776\"] \n  38 -> 39 [size =\"51275776\"]\n  39 [size=\"105382400\", alpha=\"0.09\", expect_size=\"42152960\"] \n  39 -> 40 [size =\"42152960\"]\n  40 [size=\"87252480\", alpha=\"0.15\", expect_size=\"34900992\"] \n  40 -> 41 [size =\"34900992\"]\n  41 [size=\"18229760\", alpha=\"0.04\", expect_size=\"7291904\"] \n  41 -> 42 [size =\"7291904\"]\n  42 [size=\"18027520\", alpha=\"0.20\", expect_size=\"7211008\"] \n  42 -> 43 [size =\"7211008\"]\n  43 [size=\"99200000\", alpha=\"0.02\", expect_size=\"39680000\"] \n  43 -> 44 [size =\"39680000\"]\n  44 [size=\"30208000\", alpha=\"0.16\", expect_size=\"12083200\"] \n  44 -> 45 [size =\"12083200\"]\n  45 [size=\"84776960\", alpha=\"0.03\", expect_size=\"33910784\"] \n  45 -> 46 [size =\"33910784\"]\n  46 [size=\"124147200\", alpha=\"0.06\", expect_size=\"49658880\"] \n  46 -> 47 [size =\"49658880\"]\n  47 [size=\"116651520\", alpha=\"0.04\", expect_size=\"46660608\"] \n  47 -> 48 [size =\"46660608\"]\n  48 [size=\"120913920\", alpha=\"0.15\", expect_size=\"48365568\"] \n  48 -> 49 [size =\"48365568\"]\n  49 [size=\"115371520\", alpha=\"0.19\", expect_size=\"46148608\"] \n  49 -> 50 [size =\"46148608\"]\n  50 [size=\"50319360\", alpha=\"0.19\", expect_size=\"20127744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.775.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89384960\", alpha=\"0.06\", expect_size=\"35753984\"] \n  1 -> 3 [size =\"35753984\"]\n  2 [size=\"116736000\", alpha=\"0.05\", expect_size=\"46694400\"] \n  2 -> 4 [size =\"46694400\"]\n  3 [size=\"116654080\", alpha=\"0.05\", expect_size=\"46661632\"] \n  3 -> 5 [size =\"46661632\"]\n  3 -> 6 [size =\"46661632\"]\n  4 [size=\"125957120\", alpha=\"0.13\", expect_size=\"50382848\"] \n  5 [size=\"58915840\", alpha=\"0.15\", expect_size=\"23566336\"] \n  6 [size=\"77148160\", alpha=\"0.12\", expect_size=\"30859264\"] \n  6 -> 7 [size =\"30859264\"]\n  6 -> 8 [size =\"30859264\"]\n  7 [size=\"57036800\", alpha=\"0.12\", expect_size=\"22814720\"] \n  7 -> 9 [size =\"22814720\"]\n  7 -> 10 [size =\"22814720\"]\n  8 [size=\"89280000\", alpha=\"0.10\", expect_size=\"35712000\"] \n  9 [size=\"13281280\", alpha=\"0.18\", expect_size=\"5312512\"] \n  9 -> 11 [size =\"5312512\"]\n  9 -> 12 [size =\"5312512\"]\n  10 [size=\"101783040\", alpha=\"0.10\", expect_size=\"40713216\"] \n  11 [size=\"49994240\", alpha=\"0.14\", expect_size=\"19997696\"] \n  11 -> 14 [size =\"19997696\"]\n  12 [size=\"84520960\", alpha=\"0.10\", expect_size=\"33808384\"] \n  12 -> 13 [size =\"33808384\"]\n  12 -> 15 [size =\"33808384\"]\n  13 [size=\"114698240\", alpha=\"0.14\", expect_size=\"45879296\"] \n  13 -> 17 [size =\"45879296\"]\n  14 [size=\"25016320\", alpha=\"0.13\", expect_size=\"10006528\"] \n  15 [size=\"102446080\", alpha=\"0.17\", expect_size=\"40978432\"] \n  15 -> 16 [size =\"40978432\"]\n  15 -> 18 [size =\"40978432\"]\n  16 [size=\"75020800\", alpha=\"0.10\", expect_size=\"30008320\"] \n  16 -> 20 [size =\"30008320\"]\n  17 [size=\"28997120\", alpha=\"0.08\", expect_size=\"11598848\"] \n  18 [size=\"97848320\", alpha=\"0.00\", expect_size=\"39139328\"] \n  18 -> 19 [size =\"39139328\"]\n  19 [size=\"37130240\", alpha=\"0.12\", expect_size=\"14852096\"] \n  19 -> 23 [size =\"14852096\"]\n  20 [size=\"26723840\", alpha=\"0.20\", expect_size=\"10689536\"] \n  20 -> 21 [size =\"10689536\"]\n  20 -> 22 [size =\"10689536\"]\n  21 [size=\"84131840\", alpha=\"0.00\", expect_size=\"33652736\"] \n  21 -> 25 [size =\"33652736\"]\n  22 [size=\"47828480\", alpha=\"0.19\", expect_size=\"19131392\"] \n  22 -> 24 [size =\"19131392\"]\n  23 [size=\"104481280\", alpha=\"0.14\", expect_size=\"41792512\"] \n  23 -> 24 [size =\"41792512\"]\n  24 [size=\"70400000\", alpha=\"0.09\", expect_size=\"28160000\"] \n  24 -> 26 [size =\"28160000\"]\n  24 -> 27 [size =\"28160000\"]\n  25 [size=\"28833280\", alpha=\"0.11\", expect_size=\"11533312\"] \n  25 -> 28 [size =\"11533312\"]\n  26 [size=\"13580800\", alpha=\"0.05\", expect_size=\"5432320\"] \n  26 -> 29 [size =\"5432320\"]\n  26 -> 30 [size =\"5432320\"]\n  27 [size=\"70666240\", alpha=\"0.06\", expect_size=\"28266496\"] \n  27 -> 31 [size =\"28266496\"]\n  28 [size=\"117926400\", alpha=\"0.19\", expect_size=\"47170560\"] \n  28 -> 29 [size =\"47170560\"]\n  29 [size=\"120427520\", alpha=\"0.13\", expect_size=\"48171008\"] \n  29 -> 32 [size =\"48171008\"]\n  29 -> 33 [size =\"48171008\"]\n  30 [size=\"75870720\", alpha=\"0.02\", expect_size=\"30348288\"] \n  30 -> 32 [size =\"30348288\"]\n  31 [size=\"75860480\", alpha=\"0.17\", expect_size=\"30344192\"] \n  31 -> 33 [size =\"30344192\"]\n  32 [size=\"78709760\", alpha=\"0.04\", expect_size=\"31483904\"] \n  32 -> 34 [size =\"31483904\"]\n  32 -> 36 [size =\"31483904\"]\n  33 [size=\"70085120\", alpha=\"0.08\", expect_size=\"28034048\"] \n  33 -> 35 [size =\"28034048\"]\n  34 [size=\"35571200\", alpha=\"0.15\", expect_size=\"14228480\"] \n  35 [size=\"88017920\", alpha=\"0.16\", expect_size=\"35207168\"] \n  35 -> 37 [size =\"35207168\"]\n  36 [size=\"37301760\", alpha=\"0.08\", expect_size=\"14920704\"] \n  36 -> 38 [size =\"14920704\"]\n  37 [size=\"65436160\", alpha=\"0.03\", expect_size=\"26174464\"] \n  37 -> 39 [size =\"26174464\"]\n  37 -> 40 [size =\"26174464\"]\n  38 [size=\"98380800\", alpha=\"0.12\", expect_size=\"39352320\"] \n  38 -> 41 [size =\"39352320\"]\n  39 [size=\"94346240\", alpha=\"0.05\", expect_size=\"37738496\"] \n  40 [size=\"53509120\", alpha=\"0.01\", expect_size=\"21403648\"] \n  40 -> 42 [size =\"21403648\"]\n  40 -> 43 [size =\"21403648\"]\n  41 [size=\"64547840\", alpha=\"0.08\", expect_size=\"25819136\"] \n  41 -> 42 [size =\"25819136\"]\n  41 -> 44 [size =\"25819136\"]\n  42 [size=\"46382080\", alpha=\"0.02\", expect_size=\"18552832\"] \n  42 -> 47 [size =\"18552832\"]\n  43 [size=\"70428160\", alpha=\"0.11\", expect_size=\"28171264\"] \n  43 -> 46 [size =\"28171264\"]\n  44 [size=\"120314880\", alpha=\"0.09\", expect_size=\"48125952\"] \n  44 -> 45 [size =\"48125952\"]\n  45 [size=\"89984000\", alpha=\"0.11\", expect_size=\"35993600\"] \n  45 -> 50 [size =\"35993600\"]\n  46 [size=\"68774400\", alpha=\"0.12\", expect_size=\"27509760\"] \n  46 -> 48 [size =\"27509760\"]\n  47 [size=\"118602240\", alpha=\"0.03\", expect_size=\"47440896\"] \n  47 -> 49 [size =\"47440896\"]\n  48 [size=\"19430400\", alpha=\"0.12\", expect_size=\"7772160\"] \n  49 [size=\"91927040\", alpha=\"0.19\", expect_size=\"36770816\"] \n  50 [size=\"124185600\", alpha=\"0.17\", expect_size=\"49674240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.776.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15447040\", alpha=\"0.17\", expect_size=\"6178816\"] \n  1 -> 2 [size =\"6178816\"]\n  2 [size=\"38707200\", alpha=\"0.01\", expect_size=\"15482880\"] \n  2 -> 3 [size =\"15482880\"]\n  3 [size=\"122839040\", alpha=\"0.14\", expect_size=\"49135616\"] \n  3 -> 4 [size =\"49135616\"]\n  4 [size=\"54819840\", alpha=\"0.17\", expect_size=\"21927936\"] \n  4 -> 5 [size =\"21927936\"]\n  5 [size=\"120463360\", alpha=\"0.18\", expect_size=\"48185344\"] \n  5 -> 6 [size =\"48185344\"]\n  6 [size=\"38758400\", alpha=\"0.06\", expect_size=\"15503360\"] \n  6 -> 7 [size =\"15503360\"]\n  7 [size=\"82534400\", alpha=\"0.12\", expect_size=\"33013760\"] \n  7 -> 8 [size =\"33013760\"]\n  8 [size=\"25118720\", alpha=\"0.08\", expect_size=\"10047488\"] \n  8 -> 9 [size =\"10047488\"]\n  9 [size=\"50629120\", alpha=\"0.14\", expect_size=\"20251648\"] \n  9 -> 10 [size =\"20251648\"]\n  10 [size=\"116725760\", alpha=\"0.05\", expect_size=\"46690304\"] \n  10 -> 11 [size =\"46690304\"]\n  11 [size=\"119004160\", alpha=\"0.02\", expect_size=\"47601664\"] \n  11 -> 12 [size =\"47601664\"]\n  12 [size=\"99000320\", alpha=\"0.12\", expect_size=\"39600128\"] \n  12 -> 13 [size =\"39600128\"]\n  13 [size=\"107701760\", alpha=\"0.07\", expect_size=\"43080704\"] \n  13 -> 14 [size =\"43080704\"]\n  14 [size=\"71206400\", alpha=\"0.14\", expect_size=\"28482560\"] \n  14 -> 15 [size =\"28482560\"]\n  15 [size=\"53836800\", alpha=\"0.18\", expect_size=\"21534720\"] \n  15 -> 16 [size =\"21534720\"]\n  16 [size=\"42618880\", alpha=\"0.09\", expect_size=\"17047552\"] \n  16 -> 17 [size =\"17047552\"]\n  17 [size=\"76436480\", alpha=\"0.15\", expect_size=\"30574592\"] \n  17 -> 18 [size =\"30574592\"]\n  18 [size=\"26923520\", alpha=\"0.03\", expect_size=\"10769408\"] \n  18 -> 19 [size =\"10769408\"]\n  19 [size=\"73930240\", alpha=\"0.11\", expect_size=\"29572096\"] \n  19 -> 20 [size =\"29572096\"]\n  20 [size=\"35799040\", alpha=\"0.12\", expect_size=\"14319616\"] \n  20 -> 21 [size =\"14319616\"]\n  21 [size=\"65996800\", alpha=\"0.13\", expect_size=\"26398720\"] \n  21 -> 22 [size =\"26398720\"]\n  22 [size=\"80353280\", alpha=\"0.18\", expect_size=\"32141312\"] \n  22 -> 23 [size =\"32141312\"]\n  23 [size=\"33477120\", alpha=\"0.02\", expect_size=\"13390848\"] \n  23 -> 24 [size =\"13390848\"]\n  24 [size=\"77665280\", alpha=\"0.14\", expect_size=\"31066112\"] \n  24 -> 25 [size =\"31066112\"]\n  25 [size=\"45079040\", alpha=\"0.03\", expect_size=\"18031616\"] \n  25 -> 26 [size =\"18031616\"]\n  26 [size=\"34122240\", alpha=\"0.17\", expect_size=\"13648896\"] \n  26 -> 27 [size =\"13648896\"]\n  27 [size=\"86773760\", alpha=\"0.02\", expect_size=\"34709504\"] \n  27 -> 28 [size =\"34709504\"]\n  28 [size=\"58460160\", alpha=\"0.10\", expect_size=\"23384064\"] \n  28 -> 29 [size =\"23384064\"]\n  29 [size=\"74897920\", alpha=\"0.04\", expect_size=\"29959168\"] \n  29 -> 30 [size =\"29959168\"]\n  30 [size=\"20943360\", alpha=\"0.15\", expect_size=\"8377344\"] \n  30 -> 31 [size =\"8377344\"]\n  31 [size=\"89625600\", alpha=\"0.05\", expect_size=\"35850240\"] \n  31 -> 32 [size =\"35850240\"]\n  32 [size=\"47357440\", alpha=\"0.09\", expect_size=\"18942976\"] \n  32 -> 33 [size =\"18942976\"]\n  33 [size=\"37706240\", alpha=\"0.09\", expect_size=\"15082496\"] \n  33 -> 34 [size =\"15082496\"]\n  34 [size=\"52436480\", alpha=\"0.19\", expect_size=\"20974592\"] \n  34 -> 35 [size =\"20974592\"]\n  35 [size=\"15298560\", alpha=\"0.16\", expect_size=\"6119424\"] \n  35 -> 36 [size =\"6119424\"]\n  36 [size=\"33651200\", alpha=\"0.17\", expect_size=\"13460480\"] \n  36 -> 37 [size =\"13460480\"]\n  37 [size=\"15178240\", alpha=\"0.10\", expect_size=\"6071296\"] \n  37 -> 38 [size =\"6071296\"]\n  38 [size=\"29312000\", alpha=\"0.05\", expect_size=\"11724800\"] \n  38 -> 39 [size =\"11724800\"]\n  39 [size=\"88066560\", alpha=\"0.10\", expect_size=\"35226624\"] \n  39 -> 40 [size =\"35226624\"]\n  40 [size=\"110993920\", alpha=\"0.19\", expect_size=\"44397568\"] \n  40 -> 41 [size =\"44397568\"]\n  41 [size=\"83758080\", alpha=\"0.17\", expect_size=\"33503232\"] \n  41 -> 42 [size =\"33503232\"]\n  42 [size=\"112250880\", alpha=\"0.07\", expect_size=\"44900352\"] \n  42 -> 43 [size =\"44900352\"]\n  43 [size=\"46440960\", alpha=\"0.19\", expect_size=\"18576384\"] \n  43 -> 44 [size =\"18576384\"]\n  44 [size=\"98887680\", alpha=\"0.03\", expect_size=\"39555072\"] \n  44 -> 45 [size =\"39555072\"]\n  45 [size=\"91765760\", alpha=\"0.12\", expect_size=\"36706304\"] \n  45 -> 46 [size =\"36706304\"]\n  46 [size=\"65804800\", alpha=\"0.05\", expect_size=\"26321920\"] \n  46 -> 47 [size =\"26321920\"]\n  47 [size=\"50516480\", alpha=\"0.11\", expect_size=\"20206592\"] \n  47 -> 48 [size =\"20206592\"]\n  48 [size=\"109235200\", alpha=\"0.04\", expect_size=\"43694080\"] \n  48 -> 49 [size =\"43694080\"]\n  49 [size=\"19845120\", alpha=\"0.07\", expect_size=\"7938048\"] \n  49 -> 50 [size =\"7938048\"]\n  50 [size=\"79104000\", alpha=\"0.12\", expect_size=\"31641600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.777.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"158057813\", alpha=\"0.16\", expect_size=\"47417344\"] \n  1 -> 15 [size =\"47417344\"]\n  1 -> 16 [size =\"47417344\"]\n  1 -> 18 [size =\"47417344\"]\n  1 -> 21 [size =\"47417344\"]\n  1 -> 22 [size =\"47417344\"]\n  1 -> 23 [size =\"47417344\"]\n  2 [size=\"19575467\", alpha=\"0.06\", expect_size=\"5872640\"] \n  2 -> 15 [size =\"5872640\"]\n  2 -> 16 [size =\"5872640\"]\n  2 -> 18 [size =\"5872640\"]\n  2 -> 22 [size =\"5872640\"]\n  2 -> 22 [size =\"5872640\"]\n  2 -> 23 [size =\"5872640\"]\n  2 -> 24 [size =\"5872640\"]\n  3 [size=\"67133440\", alpha=\"0.10\", expect_size=\"20140032\"] \n  3 -> 15 [size =\"20140032\"]\n  3 -> 16 [size =\"20140032\"]\n  3 -> 17 [size =\"20140032\"]\n  3 -> 18 [size =\"20140032\"]\n  3 -> 20 [size =\"20140032\"]\n  3 -> 21 [size =\"20140032\"]\n  3 -> 22 [size =\"20140032\"]\n  3 -> 24 [size =\"20140032\"]\n  4 [size=\"28214613\", alpha=\"0.15\", expect_size=\"8464384\"] \n  4 -> 14 [size =\"8464384\"]\n  4 -> 15 [size =\"8464384\"]\n  4 -> 18 [size =\"8464384\"]\n  4 -> 19 [size =\"8464384\"]\n  4 -> 21 [size =\"8464384\"]\n  4 -> 23 [size =\"8464384\"]\n  4 -> 24 [size =\"8464384\"]\n  4 -> 24 [size =\"8464384\"]\n  5 [size=\"93480960\", alpha=\"0.17\", expect_size=\"28044288\"] \n  5 -> 17 [size =\"28044288\"]\n  5 -> 22 [size =\"28044288\"]\n  5 -> 24 [size =\"28044288\"]\n  6 [size=\"130126507\", alpha=\"0.19\", expect_size=\"39037952\"] \n  6 -> 24 [size =\"39037952\"]\n  7 [size=\"35314347\", alpha=\"0.04\", expect_size=\"10594304\"] \n  7 -> 18 [size =\"10594304\"]\n  7 -> 19 [size =\"10594304\"]\n  7 -> 23 [size =\"10594304\"]\n  8 [size=\"125119147\", alpha=\"0.00\", expect_size=\"37535744\"] \n  8 -> 24 [size =\"37535744\"]\n  9 [size=\"36877653\", alpha=\"0.08\", expect_size=\"11063296\"] \n  9 -> 21 [size =\"11063296\"]\n  9 -> 23 [size =\"11063296\"]\n  10 [size=\"92330667\", alpha=\"0.08\", expect_size=\"27699200\"] \n  10 -> 17 [size =\"27699200\"]\n  10 -> 19 [size =\"27699200\"]\n  10 -> 20 [size =\"27699200\"]\n  10 -> 23 [size =\"27699200\"]\n  10 -> 24 [size =\"27699200\"]\n  11 [size=\"154368000\", alpha=\"0.14\", expect_size=\"46310400\"] \n  11 -> 15 [size =\"46310400\"]\n  11 -> 17 [size =\"46310400\"]\n  11 -> 18 [size =\"46310400\"]\n  11 -> 20 [size =\"46310400\"]\n  11 -> 24 [size =\"46310400\"]\n  12 [size=\"121303040\", alpha=\"0.14\", expect_size=\"36390912\"] \n  12 -> 14 [size =\"36390912\"]\n  12 -> 15 [size =\"36390912\"]\n  12 -> 16 [size =\"36390912\"]\n  12 -> 18 [size =\"36390912\"]\n  12 -> 21 [size =\"36390912\"]\n  12 -> 23 [size =\"36390912\"]\n  13 [size=\"171072853\", alpha=\"0.11\", expect_size=\"51321856\"] \n  13 -> 15 [size =\"51321856\"]\n  13 -> 15 [size =\"51321856\"]\n  13 -> 16 [size =\"51321856\"]\n  13 -> 22 [size =\"51321856\"]\n  13 -> 23 [size =\"51321856\"]\n  13 -> 24 [size =\"51321856\"]\n  14 [size=\"94242133\", alpha=\"0.11\", expect_size=\"28272640\"] \n  14 -> 28 [size =\"28272640\"]\n  14 -> 29 [size =\"28272640\"]\n  14 -> 30 [size =\"28272640\"]\n  14 -> 36 [size =\"28272640\"]\n  14 -> 36 [size =\"28272640\"]\n  14 -> 37 [size =\"28272640\"]\n  14 -> 42 [size =\"28272640\"]\n  14 -> 42 [size =\"28272640\"]\n  14 -> 43 [size =\"28272640\"]\n  15 [size=\"58149547\", alpha=\"0.07\", expect_size=\"17444864\"] \n  15 -> 26 [size =\"17444864\"]\n  15 -> 29 [size =\"17444864\"]\n  15 -> 30 [size =\"17444864\"]\n  15 -> 36 [size =\"17444864\"]\n  15 -> 37 [size =\"17444864\"]\n  15 -> 40 [size =\"17444864\"]\n  15 -> 41 [size =\"17444864\"]\n  15 -> 43 [size =\"17444864\"]\n  16 [size=\"35246080\", alpha=\"0.06\", expect_size=\"10573824\"] \n  16 -> 27 [size =\"10573824\"]\n  16 -> 30 [size =\"10573824\"]\n  16 -> 31 [size =\"10573824\"]\n  16 -> 33 [size =\"10573824\"]\n  16 -> 37 [size =\"10573824\"]\n  16 -> 40 [size =\"10573824\"]\n  16 -> 41 [size =\"10573824\"]\n  16 -> 43 [size =\"10573824\"]\n  17 [size=\"24309760\", alpha=\"0.04\", expect_size=\"7292928\"] \n  17 -> 27 [size =\"7292928\"]\n  17 -> 31 [size =\"7292928\"]\n  17 -> 31 [size =\"7292928\"]\n  17 -> 32 [size =\"7292928\"]\n  17 -> 33 [size =\"7292928\"]\n  17 -> 37 [size =\"7292928\"]\n  17 -> 41 [size =\"7292928\"]\n  18 [size=\"58262187\", alpha=\"0.08\", expect_size=\"17478656\"] \n  18 -> 27 [size =\"17478656\"]\n  18 -> 28 [size =\"17478656\"]\n  18 -> 29 [size =\"17478656\"]\n  18 -> 30 [size =\"17478656\"]\n  18 -> 31 [size =\"17478656\"]\n  18 -> 34 [size =\"17478656\"]\n  18 -> 35 [size =\"17478656\"]\n  18 -> 36 [size =\"17478656\"]\n  18 -> 37 [size =\"17478656\"]\n  18 -> 39 [size =\"17478656\"]\n  18 -> 40 [size =\"17478656\"]\n  18 -> 41 [size =\"17478656\"]\n  18 -> 43 [size =\"17478656\"]\n  19 [size=\"62050987\", alpha=\"0.13\", expect_size=\"18615296\"] \n  19 -> 31 [size =\"18615296\"]\n  19 -> 33 [size =\"18615296\"]\n  19 -> 35 [size =\"18615296\"]\n  19 -> 36 [size =\"18615296\"]\n  19 -> 38 [size =\"18615296\"]\n  19 -> 39 [size =\"18615296\"]\n  19 -> 42 [size =\"18615296\"]\n  20 [size=\"127150080\", alpha=\"0.19\", expect_size=\"38145024\"] \n  20 -> 25 [size =\"38145024\"]\n  20 -> 26 [size =\"38145024\"]\n  20 -> 27 [size =\"38145024\"]\n  20 -> 30 [size =\"38145024\"]\n  20 -> 31 [size =\"38145024\"]\n  20 -> 35 [size =\"38145024\"]\n  20 -> 36 [size =\"38145024\"]\n  20 -> 37 [size =\"38145024\"]\n  20 -> 38 [size =\"38145024\"]\n  20 -> 40 [size =\"38145024\"]\n  20 -> 43 [size =\"38145024\"]\n  21 [size=\"34874027\", alpha=\"0.03\", expect_size=\"10462208\"] \n  21 -> 27 [size =\"10462208\"]\n  21 -> 29 [size =\"10462208\"]\n  21 -> 30 [size =\"10462208\"]\n  21 -> 31 [size =\"10462208\"]\n  21 -> 33 [size =\"10462208\"]\n  21 -> 34 [size =\"10462208\"]\n  21 -> 35 [size =\"10462208\"]\n  21 -> 36 [size =\"10462208\"]\n  21 -> 39 [size =\"10462208\"]\n  21 -> 40 [size =\"10462208\"]\n  21 -> 41 [size =\"10462208\"]\n  22 [size=\"143329280\", alpha=\"0.07\", expect_size=\"42998784\"] \n  22 -> 29 [size =\"42998784\"]\n  22 -> 29 [size =\"42998784\"]\n  22 -> 35 [size =\"42998784\"]\n  22 -> 36 [size =\"42998784\"]\n  22 -> 39 [size =\"42998784\"]\n  22 -> 40 [size =\"42998784\"]\n  22 -> 41 [size =\"42998784\"]\n  22 -> 42 [size =\"42998784\"]\n  23 [size=\"99024213\", alpha=\"0.18\", expect_size=\"29707264\"] \n  23 -> 26 [size =\"29707264\"]\n  23 -> 33 [size =\"29707264\"]\n  23 -> 34 [size =\"29707264\"]\n  23 -> 35 [size =\"29707264\"]\n  23 -> 40 [size =\"29707264\"]\n  23 -> 42 [size =\"29707264\"]\n  23 -> 43 [size =\"29707264\"]\n  24 [size=\"31993173\", alpha=\"0.10\", expect_size=\"9597952\"] \n  24 -> 27 [size =\"9597952\"]\n  24 -> 30 [size =\"9597952\"]\n  24 -> 31 [size =\"9597952\"]\n  24 -> 33 [size =\"9597952\"]\n  24 -> 36 [size =\"9597952\"]\n  24 -> 39 [size =\"9597952\"]\n  24 -> 40 [size =\"9597952\"]\n  24 -> 42 [size =\"9597952\"]\n  25 [size=\"114667520\", alpha=\"0.12\", expect_size=\"34400256\"] \n  25 -> 44 [size =\"34400256\"]\n  25 -> 47 [size =\"34400256\"]\n  26 [size=\"172110507\", alpha=\"0.08\", expect_size=\"51633152\"] \n  26 -> 44 [size =\"51633152\"]\n  26 -> 50 [size =\"51633152\"]\n  27 [size=\"63337813\", alpha=\"0.06\", expect_size=\"19001344\"] \n  27 -> 44 [size =\"19001344\"]\n  27 -> 48 [size =\"19001344\"]\n  28 [size=\"91665067\", alpha=\"0.18\", expect_size=\"27499520\"] \n  28 -> 44 [size =\"27499520\"]\n  28 -> 47 [size =\"27499520\"]\n  28 -> 49 [size =\"27499520\"]\n  28 -> 50 [size =\"27499520\"]\n  29 [size=\"155746987\", alpha=\"0.13\", expect_size=\"46724096\"] \n  29 -> 44 [size =\"46724096\"]\n  29 -> 46 [size =\"46724096\"]\n  29 -> 47 [size =\"46724096\"]\n  30 [size=\"97880747\", alpha=\"0.17\", expect_size=\"29364224\"] \n  30 -> 44 [size =\"29364224\"]\n  30 -> 47 [size =\"29364224\"]\n  30 -> 48 [size =\"29364224\"]\n  30 -> 49 [size =\"29364224\"]\n  31 [size=\"88968533\", alpha=\"0.18\", expect_size=\"26690560\"] \n  31 -> 46 [size =\"26690560\"]\n  32 [size=\"112308907\", alpha=\"0.13\", expect_size=\"33692672\"] \n  32 -> 44 [size =\"33692672\"]\n  32 -> 45 [size =\"33692672\"]\n  32 -> 46 [size =\"33692672\"]\n  32 -> 47 [size =\"33692672\"]\n  32 -> 49 [size =\"33692672\"]\n  33 [size=\"170001067\", alpha=\"0.07\", expect_size=\"51000320\"] \n  33 -> 44 [size =\"51000320\"]\n  33 -> 46 [size =\"51000320\"]\n  33 -> 46 [size =\"51000320\"]\n  33 -> 49 [size =\"51000320\"]\n  34 [size=\"154419200\", alpha=\"0.11\", expect_size=\"46325760\"] \n  34 -> 44 [size =\"46325760\"]\n  34 -> 46 [size =\"46325760\"]\n  34 -> 49 [size =\"46325760\"]\n  35 [size=\"76305067\", alpha=\"0.20\", expect_size=\"22891520\"] \n  35 -> 46 [size =\"22891520\"]\n  35 -> 48 [size =\"22891520\"]\n  35 -> 49 [size =\"22891520\"]\n  36 [size=\"168949760\", alpha=\"0.11\", expect_size=\"50684928\"] \n  36 -> 44 [size =\"50684928\"]\n  36 -> 45 [size =\"50684928\"]\n  36 -> 48 [size =\"50684928\"]\n  37 [size=\"73147733\", alpha=\"0.03\", expect_size=\"21944320\"] \n  37 -> 44 [size =\"21944320\"]\n  37 -> 46 [size =\"21944320\"]\n  37 -> 49 [size =\"21944320\"]\n  38 [size=\"121306453\", alpha=\"0.00\", expect_size=\"36391936\"] \n  38 -> 46 [size =\"36391936\"]\n  38 -> 49 [size =\"36391936\"]\n  39 [size=\"106506240\", alpha=\"0.03\", expect_size=\"31951872\"] \n  39 -> 49 [size =\"31951872\"]\n  40 [size=\"48141653\", alpha=\"0.00\", expect_size=\"14442496\"] \n  40 -> 49 [size =\"14442496\"]\n  40 -> 50 [size =\"14442496\"]\n  41 [size=\"21077333\", alpha=\"0.20\", expect_size=\"6323200\"] \n  41 -> 47 [size =\"6323200\"]\n  41 -> 49 [size =\"6323200\"]\n  42 [size=\"162201600\", alpha=\"0.15\", expect_size=\"48660480\"] \n  42 -> 44 [size =\"48660480\"]\n  42 -> 47 [size =\"48660480\"]\n  42 -> 49 [size =\"48660480\"]\n  43 [size=\"103488853\", alpha=\"0.00\", expect_size=\"31046656\"] \n  43 -> 47 [size =\"31046656\"]\n  43 -> 47 [size =\"31046656\"]\n  44 [size=\"155818667\", alpha=\"0.08\", expect_size=\"46745600\"] \n  45 [size=\"81387520\", alpha=\"0.08\", expect_size=\"24416256\"] \n  46 [size=\"78155093\", alpha=\"0.07\", expect_size=\"23446528\"] \n  47 [size=\"163891200\", alpha=\"0.12\", expect_size=\"49167360\"] \n  48 [size=\"30859947\", alpha=\"0.07\", expect_size=\"9257984\"] \n  49 [size=\"34420053\", alpha=\"0.19\", expect_size=\"10326016\"] \n  50 [size=\"61863253\", alpha=\"0.02\", expect_size=\"18558976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.778.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45076480\", alpha=\"0.01\", expect_size=\"22538240\"] \n  1 -> 5 [size =\"22538240\"]\n  2 [size=\"65775616\", alpha=\"0.10\", expect_size=\"32887808\"] \n  2 -> 5 [size =\"32887808\"]\n  3 [size=\"68159488\", alpha=\"0.03\", expect_size=\"34079744\"] \n  3 -> 4 [size =\"34079744\"]\n  3 -> 5 [size =\"34079744\"]\n  3 -> 6 [size =\"34079744\"]\n  3 -> 7 [size =\"34079744\"]\n  4 [size=\"24000512\", alpha=\"0.16\", expect_size=\"12000256\"] \n  5 [size=\"90470400\", alpha=\"0.07\", expect_size=\"45235200\"] \n  6 [size=\"82094080\", alpha=\"0.18\", expect_size=\"41047040\"] \n  7 [size=\"59443200\", alpha=\"0.08\", expect_size=\"29721600\"] \n  7 -> 8 [size =\"29721600\"]\n  8 [size=\"21792768\", alpha=\"0.08\", expect_size=\"10896384\"] \n  8 -> 9 [size =\"10896384\"]\n  8 -> 10 [size =\"10896384\"]\n  8 -> 11 [size =\"10896384\"]\n  9 [size=\"100286464\", alpha=\"0.14\", expect_size=\"50143232\"] \n  9 -> 12 [size =\"50143232\"]\n  9 -> 14 [size =\"50143232\"]\n  10 [size=\"68976640\", alpha=\"0.08\", expect_size=\"34488320\"] \n  10 -> 12 [size =\"34488320\"]\n  10 -> 13 [size =\"34488320\"]\n  11 [size=\"54073344\", alpha=\"0.13\", expect_size=\"27036672\"] \n  11 -> 12 [size =\"27036672\"]\n  11 -> 14 [size =\"27036672\"]\n  12 [size=\"57339904\", alpha=\"0.13\", expect_size=\"28669952\"] \n  12 -> 16 [size =\"28669952\"]\n  12 -> 17 [size =\"28669952\"]\n  13 [size=\"11358208\", alpha=\"0.17\", expect_size=\"5679104\"] \n  13 -> 15 [size =\"5679104\"]\n  13 -> 16 [size =\"5679104\"]\n  13 -> 17 [size =\"5679104\"]\n  14 [size=\"24143872\", alpha=\"0.15\", expect_size=\"12071936\"] \n  14 -> 16 [size =\"12071936\"]\n  14 -> 17 [size =\"12071936\"]\n  15 [size=\"99598336\", alpha=\"0.08\", expect_size=\"49799168\"] \n  15 -> 18 [size =\"49799168\"]\n  16 [size=\"39884800\", alpha=\"0.03\", expect_size=\"19942400\"] \n  16 -> 18 [size =\"19942400\"]\n  16 -> 19 [size =\"19942400\"]\n  16 -> 20 [size =\"19942400\"]\n  17 [size=\"30451712\", alpha=\"0.12\", expect_size=\"15225856\"] \n  17 -> 18 [size =\"15225856\"]\n  17 -> 19 [size =\"15225856\"]\n  18 [size=\"69126144\", alpha=\"0.14\", expect_size=\"34563072\"] \n  18 -> 21 [size =\"34563072\"]\n  18 -> 22 [size =\"34563072\"]\n  18 -> 23 [size =\"34563072\"]\n  19 [size=\"11872256\", alpha=\"0.10\", expect_size=\"5936128\"] \n  19 -> 23 [size =\"5936128\"]\n  20 [size=\"78399488\", alpha=\"0.04\", expect_size=\"39199744\"] \n  20 -> 22 [size =\"39199744\"]\n  20 -> 23 [size =\"39199744\"]\n  21 [size=\"21024768\", alpha=\"0.06\", expect_size=\"10512384\"] \n  21 -> 25 [size =\"10512384\"]\n  21 -> 25 [size =\"10512384\"]\n  21 -> 26 [size =\"10512384\"]\n  22 [size=\"80472064\", alpha=\"0.19\", expect_size=\"40236032\"] \n  23 [size=\"48928768\", alpha=\"0.05\", expect_size=\"24464384\"] \n  23 -> 24 [size =\"24464384\"]\n  23 -> 25 [size =\"24464384\"]\n  23 -> 26 [size =\"24464384\"]\n  24 [size=\"33593344\", alpha=\"0.13\", expect_size=\"16796672\"] \n  24 -> 27 [size =\"16796672\"]\n  24 -> 28 [size =\"16796672\"]\n  24 -> 29 [size =\"16796672\"]\n  25 [size=\"104273920\", alpha=\"0.18\", expect_size=\"52136960\"] \n  25 -> 27 [size =\"52136960\"]\n  25 -> 29 [size =\"52136960\"]\n  25 -> 30 [size =\"52136960\"]\n  26 [size=\"46798848\", alpha=\"0.19\", expect_size=\"23399424\"] \n  26 -> 27 [size =\"23399424\"]\n  26 -> 29 [size =\"23399424\"]\n  26 -> 30 [size =\"23399424\"]\n  27 [size=\"59744256\", alpha=\"0.10\", expect_size=\"29872128\"] \n  27 -> 31 [size =\"29872128\"]\n  27 -> 32 [size =\"29872128\"]\n  28 [size=\"22063104\", alpha=\"0.03\", expect_size=\"11031552\"] \n  28 -> 31 [size =\"11031552\"]\n  28 -> 32 [size =\"11031552\"]\n  29 [size=\"88432640\", alpha=\"0.16\", expect_size=\"44216320\"] \n  29 -> 31 [size =\"44216320\"]\n  29 -> 32 [size =\"44216320\"]\n  30 [size=\"39757824\", alpha=\"0.00\", expect_size=\"19878912\"] \n  30 -> 31 [size =\"19878912\"]\n  30 -> 33 [size =\"19878912\"]\n  31 [size=\"58535936\", alpha=\"0.14\", expect_size=\"29267968\"] \n  31 -> 34 [size =\"29267968\"]\n  31 -> 36 [size =\"29267968\"]\n  32 [size=\"84987904\", alpha=\"0.18\", expect_size=\"42493952\"] \n  32 -> 34 [size =\"42493952\"]\n  32 -> 35 [size =\"42493952\"]\n  32 -> 36 [size =\"42493952\"]\n  33 [size=\"80031744\", alpha=\"0.02\", expect_size=\"40015872\"] \n  33 -> 34 [size =\"40015872\"]\n  33 -> 36 [size =\"40015872\"]\n  34 [size=\"101343232\", alpha=\"0.09\", expect_size=\"50671616\"] \n  34 -> 37 [size =\"50671616\"]\n  35 [size=\"68065280\", alpha=\"0.15\", expect_size=\"34032640\"] \n  35 -> 37 [size =\"34032640\"]\n  36 [size=\"60184576\", alpha=\"0.07\", expect_size=\"30092288\"] \n  36 -> 37 [size =\"30092288\"]\n  36 -> 38 [size =\"30092288\"]\n  37 [size=\"54937600\", alpha=\"0.04\", expect_size=\"27468800\"] \n  37 -> 39 [size =\"27468800\"]\n  37 -> 41 [size =\"27468800\"]\n  38 [size=\"101279744\", alpha=\"0.12\", expect_size=\"50639872\"] \n  38 -> 39 [size =\"50639872\"]\n  38 -> 40 [size =\"50639872\"]\n  38 -> 41 [size =\"50639872\"]\n  39 [size=\"21780480\", alpha=\"0.02\", expect_size=\"10890240\"] \n  39 -> 43 [size =\"10890240\"]\n  39 -> 44 [size =\"10890240\"]\n  39 -> 45 [size =\"10890240\"]\n  40 [size=\"94982144\", alpha=\"0.05\", expect_size=\"47491072\"] \n  40 -> 42 [size =\"47491072\"]\n  40 -> 43 [size =\"47491072\"]\n  40 -> 44 [size =\"47491072\"]\n  40 -> 45 [size =\"47491072\"]\n  41 [size=\"96260096\", alpha=\"0.11\", expect_size=\"48130048\"] \n  41 -> 44 [size =\"48130048\"]\n  41 -> 45 [size =\"48130048\"]\n  42 [size=\"69201920\", alpha=\"0.11\", expect_size=\"34600960\"] \n  42 -> 46 [size =\"34600960\"]\n  42 -> 47 [size =\"34600960\"]\n  42 -> 48 [size =\"34600960\"]\n  43 [size=\"60665856\", alpha=\"0.20\", expect_size=\"30332928\"] \n  43 -> 46 [size =\"30332928\"]\n  44 [size=\"71524352\", alpha=\"0.13\", expect_size=\"35762176\"] \n  44 -> 46 [size =\"35762176\"]\n  44 -> 48 [size =\"35762176\"]\n  45 [size=\"21065728\", alpha=\"0.07\", expect_size=\"10532864\"] \n  45 -> 46 [size =\"10532864\"]\n  45 -> 48 [size =\"10532864\"]\n  46 [size=\"92774400\", alpha=\"0.08\", expect_size=\"46387200\"] \n  46 -> 49 [size =\"46387200\"]\n  46 -> 50 [size =\"46387200\"]\n  47 [size=\"32937984\", alpha=\"0.20\", expect_size=\"16468992\"] \n  47 -> 50 [size =\"16468992\"]\n  48 [size=\"50262016\", alpha=\"0.14\", expect_size=\"25131008\"] \n  48 -> 49 [size =\"25131008\"]\n  49 [size=\"14649344\", alpha=\"0.04\", expect_size=\"7324672\"] \n  50 [size=\"21856256\", alpha=\"0.01\", expect_size=\"10928128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.779.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38295040\", alpha=\"0.13\", expect_size=\"15318016\"] \n  1 -> 45 [size =\"15318016\"]\n  1 -> 46 [size =\"15318016\"]\n  1 -> 50 [size =\"15318016\"]\n  2 [size=\"32437760\", alpha=\"0.14\", expect_size=\"12975104\"] \n  2 -> 43 [size =\"12975104\"]\n  2 -> 45 [size =\"12975104\"]\n  2 -> 46 [size =\"12975104\"]\n  2 -> 47 [size =\"12975104\"]\n  2 -> 50 [size =\"12975104\"]\n  3 [size=\"102302720\", alpha=\"0.17\", expect_size=\"40921088\"] \n  3 -> 44 [size =\"40921088\"]\n  3 -> 45 [size =\"40921088\"]\n  3 -> 46 [size =\"40921088\"]\n  3 -> 49 [size =\"40921088\"]\n  3 -> 50 [size =\"40921088\"]\n  4 [size=\"73236480\", alpha=\"0.16\", expect_size=\"29294592\"] \n  4 -> 45 [size =\"29294592\"]\n  4 -> 46 [size =\"29294592\"]\n  4 -> 50 [size =\"29294592\"]\n  5 [size=\"122385920\", alpha=\"0.14\", expect_size=\"48954368\"] \n  5 -> 43 [size =\"48954368\"]\n  5 -> 49 [size =\"48954368\"]\n  5 -> 50 [size =\"48954368\"]\n  6 [size=\"120058880\", alpha=\"0.17\", expect_size=\"48023552\"] \n  6 -> 47 [size =\"48023552\"]\n  6 -> 49 [size =\"48023552\"]\n  7 [size=\"41994240\", alpha=\"0.09\", expect_size=\"16797696\"] \n  7 -> 45 [size =\"16797696\"]\n  7 -> 46 [size =\"16797696\"]\n  7 -> 49 [size =\"16797696\"]\n  8 [size=\"56862720\", alpha=\"0.12\", expect_size=\"22745088\"] \n  8 -> 46 [size =\"22745088\"]\n  8 -> 49 [size =\"22745088\"]\n  8 -> 49 [size =\"22745088\"]\n  8 -> 50 [size =\"22745088\"]\n  9 [size=\"82032640\", alpha=\"0.10\", expect_size=\"32813056\"] \n  9 -> 43 [size =\"32813056\"]\n  9 -> 44 [size =\"32813056\"]\n  9 -> 46 [size =\"32813056\"]\n  9 -> 49 [size =\"32813056\"]\n  10 [size=\"13294080\", alpha=\"0.06\", expect_size=\"5317632\"] \n  10 -> 45 [size =\"5317632\"]\n  10 -> 46 [size =\"5317632\"]\n  10 -> 49 [size =\"5317632\"]\n  10 -> 49 [size =\"5317632\"]\n  11 [size=\"41978880\", alpha=\"0.10\", expect_size=\"16791552\"] \n  11 -> 43 [size =\"16791552\"]\n  11 -> 47 [size =\"16791552\"]\n  11 -> 49 [size =\"16791552\"]\n  12 [size=\"116884480\", alpha=\"0.04\", expect_size=\"46753792\"] \n  12 -> 43 [size =\"46753792\"]\n  12 -> 45 [size =\"46753792\"]\n  12 -> 49 [size =\"46753792\"]\n  13 [size=\"81420800\", alpha=\"0.07\", expect_size=\"32568320\"] \n  13 -> 43 [size =\"32568320\"]\n  13 -> 45 [size =\"32568320\"]\n  13 -> 46 [size =\"32568320\"]\n  13 -> 49 [size =\"32568320\"]\n  13 -> 50 [size =\"32568320\"]\n  14 [size=\"64962560\", alpha=\"0.20\", expect_size=\"25985024\"] \n  14 -> 43 [size =\"25985024\"]\n  14 -> 44 [size =\"25985024\"]\n  14 -> 45 [size =\"25985024\"]\n  14 -> 48 [size =\"25985024\"]\n  14 -> 49 [size =\"25985024\"]\n  14 -> 50 [size =\"25985024\"]\n  15 [size=\"39413760\", alpha=\"0.02\", expect_size=\"15765504\"] \n  15 -> 45 [size =\"15765504\"]\n  15 -> 46 [size =\"15765504\"]\n  16 [size=\"124234240\", alpha=\"0.15\", expect_size=\"49693696\"] \n  16 -> 45 [size =\"49693696\"]\n  16 -> 50 [size =\"49693696\"]\n  17 [size=\"109429760\", alpha=\"0.18\", expect_size=\"43771904\"] \n  18 [size=\"43064320\", alpha=\"0.01\", expect_size=\"17225728\"] \n  18 -> 45 [size =\"17225728\"]\n  18 -> 48 [size =\"17225728\"]\n  18 -> 50 [size =\"17225728\"]\n  19 [size=\"115770880\", alpha=\"0.07\", expect_size=\"46308352\"] \n  19 -> 49 [size =\"46308352\"]\n  20 [size=\"58035200\", alpha=\"0.05\", expect_size=\"23214080\"] \n  20 -> 45 [size =\"23214080\"]\n  20 -> 46 [size =\"23214080\"]\n  21 [size=\"93332480\", alpha=\"0.07\", expect_size=\"37332992\"] \n  21 -> 45 [size =\"37332992\"]\n  21 -> 46 [size =\"37332992\"]\n  21 -> 49 [size =\"37332992\"]\n  22 [size=\"31649280\", alpha=\"0.13\", expect_size=\"12659712\"] \n  22 -> 45 [size =\"12659712\"]\n  22 -> 47 [size =\"12659712\"]\n  22 -> 50 [size =\"12659712\"]\n  23 [size=\"56954880\", alpha=\"0.13\", expect_size=\"22781952\"] \n  23 -> 43 [size =\"22781952\"]\n  23 -> 45 [size =\"22781952\"]\n  23 -> 50 [size =\"22781952\"]\n  24 [size=\"101050880\", alpha=\"0.04\", expect_size=\"40420352\"] \n  24 -> 45 [size =\"40420352\"]\n  24 -> 46 [size =\"40420352\"]\n  24 -> 49 [size =\"40420352\"]\n  25 [size=\"100531200\", alpha=\"0.13\", expect_size=\"40212480\"] \n  25 -> 43 [size =\"40212480\"]\n  25 -> 44 [size =\"40212480\"]\n  25 -> 49 [size =\"40212480\"]\n  26 [size=\"113587200\", alpha=\"0.01\", expect_size=\"45434880\"] \n  26 -> 43 [size =\"45434880\"]\n  26 -> 45 [size =\"45434880\"]\n  26 -> 46 [size =\"45434880\"]\n  26 -> 47 [size =\"45434880\"]\n  27 [size=\"83548160\", alpha=\"0.13\", expect_size=\"33419264\"] \n  27 -> 43 [size =\"33419264\"]\n  27 -> 45 [size =\"33419264\"]\n  27 -> 46 [size =\"33419264\"]\n  28 [size=\"71969280\", alpha=\"0.13\", expect_size=\"28787712\"] \n  28 -> 43 [size =\"28787712\"]\n  28 -> 50 [size =\"28787712\"]\n  29 [size=\"77539840\", alpha=\"0.04\", expect_size=\"31015936\"] \n  29 -> 43 [size =\"31015936\"]\n  29 -> 44 [size =\"31015936\"]\n  29 -> 45 [size =\"31015936\"]\n  29 -> 47 [size =\"31015936\"]\n  29 -> 49 [size =\"31015936\"]\n  30 [size=\"120816640\", alpha=\"0.16\", expect_size=\"48326656\"] \n  30 -> 43 [size =\"48326656\"]\n  30 -> 45 [size =\"48326656\"]\n  30 -> 46 [size =\"48326656\"]\n  30 -> 49 [size =\"48326656\"]\n  30 -> 49 [size =\"48326656\"]\n  31 [size=\"33684480\", alpha=\"0.12\", expect_size=\"13473792\"] \n  31 -> 43 [size =\"13473792\"]\n  31 -> 46 [size =\"13473792\"]\n  31 -> 49 [size =\"13473792\"]\n  32 [size=\"77263360\", alpha=\"0.06\", expect_size=\"30905344\"] \n  32 -> 49 [size =\"30905344\"]\n  33 [size=\"34954240\", alpha=\"0.12\", expect_size=\"13981696\"] \n  33 -> 44 [size =\"13981696\"]\n  33 -> 47 [size =\"13981696\"]\n  33 -> 49 [size =\"13981696\"]\n  34 [size=\"113920000\", alpha=\"0.06\", expect_size=\"45568000\"] \n  34 -> 45 [size =\"45568000\"]\n  34 -> 46 [size =\"45568000\"]\n  35 [size=\"20395520\", alpha=\"0.05\", expect_size=\"8158208\"] \n  35 -> 43 [size =\"8158208\"]\n  35 -> 45 [size =\"8158208\"]\n  35 -> 49 [size =\"8158208\"]\n  35 -> 50 [size =\"8158208\"]\n  36 [size=\"99591680\", alpha=\"0.02\", expect_size=\"39836672\"] \n  36 -> 45 [size =\"39836672\"]\n  36 -> 49 [size =\"39836672\"]\n  36 -> 50 [size =\"39836672\"]\n  37 [size=\"104568320\", alpha=\"0.16\", expect_size=\"41827328\"] \n  37 -> 43 [size =\"41827328\"]\n  37 -> 45 [size =\"41827328\"]\n  37 -> 46 [size =\"41827328\"]\n  37 -> 49 [size =\"41827328\"]\n  38 [size=\"64212480\", alpha=\"0.15\", expect_size=\"25684992\"] \n  38 -> 43 [size =\"25684992\"]\n  38 -> 44 [size =\"25684992\"]\n  38 -> 46 [size =\"25684992\"]\n  38 -> 49 [size =\"25684992\"]\n  38 -> 50 [size =\"25684992\"]\n  39 [size=\"22282240\", alpha=\"0.12\", expect_size=\"8912896\"] \n  39 -> 43 [size =\"8912896\"]\n  39 -> 45 [size =\"8912896\"]\n  39 -> 49 [size =\"8912896\"]\n  40 [size=\"47703040\", alpha=\"0.16\", expect_size=\"19081216\"] \n  40 -> 43 [size =\"19081216\"]\n  40 -> 45 [size =\"19081216\"]\n  40 -> 46 [size =\"19081216\"]\n  41 [size=\"22699520\", alpha=\"0.13\", expect_size=\"9079808\"] \n  41 -> 45 [size =\"9079808\"]\n  41 -> 46 [size =\"9079808\"]\n  42 [size=\"94108160\", alpha=\"0.14\", expect_size=\"37643264\"] \n  42 -> 44 [size =\"37643264\"]\n  42 -> 46 [size =\"37643264\"]\n  42 -> 50 [size =\"37643264\"]\n  43 [size=\"129781760\", alpha=\"0.02\", expect_size=\"51912704\"] \n  44 [size=\"80066560\", alpha=\"0.06\", expect_size=\"32026624\"] \n  45 [size=\"114782720\", alpha=\"0.04\", expect_size=\"45913088\"] \n  46 [size=\"24312320\", alpha=\"0.19\", expect_size=\"9724928\"] \n  47 [size=\"37747200\", alpha=\"0.05\", expect_size=\"15098880\"] \n  48 [size=\"15482880\", alpha=\"0.02\", expect_size=\"6193152\"] \n  49 [size=\"105438720\", alpha=\"0.10\", expect_size=\"42175488\"] \n  50 [size=\"56389120\", alpha=\"0.16\", expect_size=\"22555648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110758400\", alpha=\"0.09\", expect_size=\"44303360\"] \n  1 -> 20 [size =\"44303360\"]\n  1 -> 21 [size =\"44303360\"]\n  2 [size=\"90616320\", alpha=\"0.07\", expect_size=\"36246528\"] \n  2 -> 16 [size =\"36246528\"]\n  2 -> 19 [size =\"36246528\"]\n  2 -> 20 [size =\"36246528\"]\n  2 -> 21 [size =\"36246528\"]\n  2 -> 22 [size =\"36246528\"]\n  3 [size=\"24629760\", alpha=\"0.08\", expect_size=\"9851904\"] \n  3 -> 15 [size =\"9851904\"]\n  3 -> 18 [size =\"9851904\"]\n  3 -> 21 [size =\"9851904\"]\n  4 [size=\"122419200\", alpha=\"0.12\", expect_size=\"48967680\"] \n  4 -> 14 [size =\"48967680\"]\n  4 -> 15 [size =\"48967680\"]\n  4 -> 22 [size =\"48967680\"]\n  5 [size=\"46159360\", alpha=\"0.09\", expect_size=\"18463744\"] \n  5 -> 15 [size =\"18463744\"]\n  5 -> 15 [size =\"18463744\"]\n  5 -> 19 [size =\"18463744\"]\n  6 [size=\"61457920\", alpha=\"0.03\", expect_size=\"24583168\"] \n  6 -> 15 [size =\"24583168\"]\n  6 -> 19 [size =\"24583168\"]\n  6 -> 24 [size =\"24583168\"]\n  7 [size=\"44838400\", alpha=\"0.10\", expect_size=\"17935360\"] \n  7 -> 18 [size =\"17935360\"]\n  7 -> 19 [size =\"17935360\"]\n  7 -> 23 [size =\"17935360\"]\n  8 [size=\"87088640\", alpha=\"0.05\", expect_size=\"34835456\"] \n  8 -> 14 [size =\"34835456\"]\n  8 -> 17 [size =\"34835456\"]\n  8 -> 19 [size =\"34835456\"]\n  9 [size=\"34513920\", alpha=\"0.11\", expect_size=\"13805568\"] \n  9 -> 14 [size =\"13805568\"]\n  9 -> 15 [size =\"13805568\"]\n  10 [size=\"71823360\", alpha=\"0.07\", expect_size=\"28729344\"] \n  10 -> 15 [size =\"28729344\"]\n  10 -> 16 [size =\"28729344\"]\n  10 -> 17 [size =\"28729344\"]\n  10 -> 24 [size =\"28729344\"]\n  11 [size=\"123187200\", alpha=\"0.13\", expect_size=\"49274880\"] \n  11 -> 14 [size =\"49274880\"]\n  12 [size=\"58403840\", alpha=\"0.06\", expect_size=\"23361536\"] \n  12 -> 19 [size =\"23361536\"]\n  13 [size=\"102617600\", alpha=\"0.16\", expect_size=\"41047040\"] \n  13 -> 18 [size =\"41047040\"]\n  14 [size=\"33354240\", alpha=\"0.10\", expect_size=\"13341696\"] \n  14 -> 27 [size =\"13341696\"]\n  14 -> 30 [size =\"13341696\"]\n  14 -> 33 [size =\"13341696\"]\n  14 -> 35 [size =\"13341696\"]\n  14 -> 36 [size =\"13341696\"]\n  14 -> 39 [size =\"13341696\"]\n  15 [size=\"106488320\", alpha=\"0.17\", expect_size=\"42595328\"] \n  15 -> 28 [size =\"42595328\"]\n  15 -> 32 [size =\"42595328\"]\n  15 -> 35 [size =\"42595328\"]\n  15 -> 39 [size =\"42595328\"]\n  15 -> 41 [size =\"42595328\"]\n  16 [size=\"42626560\", alpha=\"0.13\", expect_size=\"17050624\"] \n  16 -> 26 [size =\"17050624\"]\n  16 -> 28 [size =\"17050624\"]\n  16 -> 34 [size =\"17050624\"]\n  16 -> 35 [size =\"17050624\"]\n  17 [size=\"58007040\", alpha=\"0.05\", expect_size=\"23202816\"] \n  17 -> 26 [size =\"23202816\"]\n  17 -> 29 [size =\"23202816\"]\n  17 -> 30 [size =\"23202816\"]\n  17 -> 34 [size =\"23202816\"]\n  17 -> 39 [size =\"23202816\"]\n  18 [size=\"119457280\", alpha=\"0.11\", expect_size=\"47782912\"] \n  18 -> 25 [size =\"47782912\"]\n  18 -> 28 [size =\"47782912\"]\n  18 -> 31 [size =\"47782912\"]\n  18 -> 33 [size =\"47782912\"]\n  18 -> 34 [size =\"47782912\"]\n  18 -> 37 [size =\"47782912\"]\n  18 -> 40 [size =\"47782912\"]\n  19 [size=\"30497280\", alpha=\"0.12\", expect_size=\"12198912\"] \n  19 -> 27 [size =\"12198912\"]\n  19 -> 28 [size =\"12198912\"]\n  19 -> 31 [size =\"12198912\"]\n  19 -> 33 [size =\"12198912\"]\n  19 -> 37 [size =\"12198912\"]\n  20 [size=\"97832960\", alpha=\"0.15\", expect_size=\"39133184\"] \n  20 -> 27 [size =\"39133184\"]\n  20 -> 28 [size =\"39133184\"]\n  20 -> 31 [size =\"39133184\"]\n  20 -> 33 [size =\"39133184\"]\n  20 -> 34 [size =\"39133184\"]\n  20 -> 37 [size =\"39133184\"]\n  20 -> 38 [size =\"39133184\"]\n  21 [size=\"21637120\", alpha=\"0.15\", expect_size=\"8654848\"] \n  21 -> 26 [size =\"8654848\"]\n  21 -> 33 [size =\"8654848\"]\n  21 -> 35 [size =\"8654848\"]\n  21 -> 40 [size =\"8654848\"]\n  21 -> 41 [size =\"8654848\"]\n  22 [size=\"100495360\", alpha=\"0.09\", expect_size=\"40198144\"] \n  22 -> 26 [size =\"40198144\"]\n  22 -> 30 [size =\"40198144\"]\n  22 -> 31 [size =\"40198144\"]\n  22 -> 36 [size =\"40198144\"]\n  22 -> 39 [size =\"40198144\"]\n  22 -> 40 [size =\"40198144\"]\n  22 -> 41 [size =\"40198144\"]\n  23 [size=\"18152960\", alpha=\"0.04\", expect_size=\"7261184\"] \n  23 -> 28 [size =\"7261184\"]\n  23 -> 30 [size =\"7261184\"]\n  23 -> 31 [size =\"7261184\"]\n  23 -> 38 [size =\"7261184\"]\n  23 -> 40 [size =\"7261184\"]\n  23 -> 40 [size =\"7261184\"]\n  23 -> 41 [size =\"7261184\"]\n  24 [size=\"113059840\", alpha=\"0.18\", expect_size=\"45223936\"] \n  24 -> 29 [size =\"45223936\"]\n  24 -> 30 [size =\"45223936\"]\n  24 -> 35 [size =\"45223936\"]\n  24 -> 39 [size =\"45223936\"]\n  24 -> 41 [size =\"45223936\"]\n  25 [size=\"51886080\", alpha=\"0.17\", expect_size=\"20754432\"] \n  25 -> 43 [size =\"20754432\"]\n  25 -> 50 [size =\"20754432\"]\n  26 [size=\"31956480\", alpha=\"0.04\", expect_size=\"12782592\"] \n  26 -> 42 [size =\"12782592\"]\n  26 -> 49 [size =\"12782592\"]\n  27 [size=\"109186560\", alpha=\"0.17\", expect_size=\"43674624\"] \n  28 [size=\"20533760\", alpha=\"0.03\", expect_size=\"8213504\"] \n  28 -> 44 [size =\"8213504\"]\n  28 -> 47 [size =\"8213504\"]\n  29 [size=\"82823680\", alpha=\"0.12\", expect_size=\"33129472\"] \n  29 -> 45 [size =\"33129472\"]\n  29 -> 48 [size =\"33129472\"]\n  29 -> 49 [size =\"33129472\"]\n  30 [size=\"34513920\", alpha=\"0.11\", expect_size=\"13805568\"] \n  30 -> 50 [size =\"13805568\"]\n  31 [size=\"124935680\", alpha=\"0.08\", expect_size=\"49974272\"] \n  31 -> 47 [size =\"49974272\"]\n  32 [size=\"97848320\", alpha=\"0.14\", expect_size=\"39139328\"] \n  32 -> 43 [size =\"39139328\"]\n  32 -> 47 [size =\"39139328\"]\n  32 -> 48 [size =\"39139328\"]\n  33 [size=\"30758400\", alpha=\"0.14\", expect_size=\"12303360\"] \n  33 -> 42 [size =\"12303360\"]\n  33 -> 43 [size =\"12303360\"]\n  33 -> 47 [size =\"12303360\"]\n  33 -> 48 [size =\"12303360\"]\n  33 -> 49 [size =\"12303360\"]\n  34 [size=\"53153280\", alpha=\"0.18\", expect_size=\"21261312\"] \n  34 -> 44 [size =\"21261312\"]\n  34 -> 46 [size =\"21261312\"]\n  34 -> 47 [size =\"21261312\"]\n  34 -> 49 [size =\"21261312\"]\n  34 -> 50 [size =\"21261312\"]\n  35 [size=\"38420480\", alpha=\"0.18\", expect_size=\"15368192\"] \n  35 -> 42 [size =\"15368192\"]\n  35 -> 44 [size =\"15368192\"]\n  35 -> 47 [size =\"15368192\"]\n  35 -> 50 [size =\"15368192\"]\n  35 -> 50 [size =\"15368192\"]\n  36 [size=\"19609600\", alpha=\"0.03\", expect_size=\"7843840\"] \n  36 -> 47 [size =\"7843840\"]\n  37 [size=\"45071360\", alpha=\"0.15\", expect_size=\"18028544\"] \n  37 -> 42 [size =\"18028544\"]\n  37 -> 49 [size =\"18028544\"]\n  38 [size=\"28577280\", alpha=\"0.06\", expect_size=\"11430912\"] \n  38 -> 42 [size =\"11430912\"]\n  38 -> 50 [size =\"11430912\"]\n  39 [size=\"44106240\", alpha=\"0.19\", expect_size=\"17642496\"] \n  39 -> 42 [size =\"17642496\"]\n  39 -> 50 [size =\"17642496\"]\n  40 [size=\"113064960\", alpha=\"0.07\", expect_size=\"45225984\"] \n  40 -> 42 [size =\"45225984\"]\n  41 [size=\"58245120\", alpha=\"0.16\", expect_size=\"23298048\"] \n  41 -> 42 [size =\"23298048\"]\n  41 -> 45 [size =\"23298048\"]\n  41 -> 47 [size =\"23298048\"]\n  41 -> 50 [size =\"23298048\"]\n  42 [size=\"107686400\", alpha=\"0.00\", expect_size=\"43074560\"] \n  43 [size=\"70760960\", alpha=\"0.05\", expect_size=\"28304384\"] \n  44 [size=\"36976640\", alpha=\"0.07\", expect_size=\"14790656\"] \n  45 [size=\"26583040\", alpha=\"0.15\", expect_size=\"10633216\"] \n  46 [size=\"14999040\", alpha=\"0.07\", expect_size=\"5999616\"] \n  47 [size=\"31741440\", alpha=\"0.15\", expect_size=\"12696576\"] \n  48 [size=\"121712640\", alpha=\"0.04\", expect_size=\"48685056\"] \n  49 [size=\"37370880\", alpha=\"0.05\", expect_size=\"14948352\"] \n  50 [size=\"32038400\", alpha=\"0.09\", expect_size=\"12815360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.780.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12134400\", alpha=\"0.11\", expect_size=\"6067200\"] \n  1 -> 2 [size =\"6067200\"]\n  2 [size=\"44136448\", alpha=\"0.13\", expect_size=\"22068224\"] \n  2 -> 3 [size =\"22068224\"]\n  3 [size=\"97953792\", alpha=\"0.07\", expect_size=\"48976896\"] \n  3 -> 4 [size =\"48976896\"]\n  4 [size=\"68696064\", alpha=\"0.09\", expect_size=\"34348032\"] \n  4 -> 5 [size =\"34348032\"]\n  5 [size=\"39837696\", alpha=\"0.18\", expect_size=\"19918848\"] \n  5 -> 6 [size =\"19918848\"]\n  6 [size=\"40859648\", alpha=\"0.19\", expect_size=\"20429824\"] \n  6 -> 7 [size =\"20429824\"]\n  7 [size=\"85075968\", alpha=\"0.07\", expect_size=\"42537984\"] \n  7 -> 8 [size =\"42537984\"]\n  8 [size=\"18550784\", alpha=\"0.01\", expect_size=\"9275392\"] \n  8 -> 9 [size =\"9275392\"]\n  9 [size=\"86212608\", alpha=\"0.04\", expect_size=\"43106304\"] \n  9 -> 10 [size =\"43106304\"]\n  10 [size=\"15278080\", alpha=\"0.06\", expect_size=\"7639040\"] \n  10 -> 11 [size =\"7639040\"]\n  11 [size=\"40378368\", alpha=\"0.15\", expect_size=\"20189184\"] \n  11 -> 12 [size =\"20189184\"]\n  12 [size=\"90097664\", alpha=\"0.17\", expect_size=\"45048832\"] \n  12 -> 13 [size =\"45048832\"]\n  13 [size=\"54859776\", alpha=\"0.08\", expect_size=\"27429888\"] \n  13 -> 14 [size =\"27429888\"]\n  14 [size=\"86151168\", alpha=\"0.12\", expect_size=\"43075584\"] \n  14 -> 15 [size =\"43075584\"]\n  15 [size=\"34377728\", alpha=\"0.10\", expect_size=\"17188864\"] \n  15 -> 16 [size =\"17188864\"]\n  16 [size=\"23871488\", alpha=\"0.11\", expect_size=\"11935744\"] \n  16 -> 17 [size =\"11935744\"]\n  17 [size=\"17256448\", alpha=\"0.02\", expect_size=\"8628224\"] \n  17 -> 18 [size =\"8628224\"]\n  18 [size=\"49008640\", alpha=\"0.11\", expect_size=\"24504320\"] \n  18 -> 19 [size =\"24504320\"]\n  19 [size=\"56025088\", alpha=\"0.14\", expect_size=\"28012544\"] \n  19 -> 20 [size =\"28012544\"]\n  20 [size=\"76720128\", alpha=\"0.14\", expect_size=\"38360064\"] \n  20 -> 21 [size =\"38360064\"]\n  21 [size=\"104695808\", alpha=\"0.14\", expect_size=\"52347904\"] \n  21 -> 22 [size =\"52347904\"]\n  22 [size=\"82010112\", alpha=\"0.01\", expect_size=\"41005056\"] \n  22 -> 23 [size =\"41005056\"]\n  23 [size=\"66134016\", alpha=\"0.07\", expect_size=\"33067008\"] \n  23 -> 24 [size =\"33067008\"]\n  24 [size=\"104146944\", alpha=\"0.05\", expect_size=\"52073472\"] \n  24 -> 25 [size =\"52073472\"]\n  25 [size=\"66127872\", alpha=\"0.09\", expect_size=\"33063936\"] \n  25 -> 26 [size =\"33063936\"]\n  26 [size=\"17338368\", alpha=\"0.20\", expect_size=\"8669184\"] \n  26 -> 27 [size =\"8669184\"]\n  27 [size=\"70381568\", alpha=\"0.06\", expect_size=\"35190784\"] \n  27 -> 28 [size =\"35190784\"]\n  28 [size=\"81903616\", alpha=\"0.14\", expect_size=\"40951808\"] \n  28 -> 29 [size =\"40951808\"]\n  29 [size=\"38547456\", alpha=\"0.19\", expect_size=\"19273728\"] \n  29 -> 30 [size =\"19273728\"]\n  30 [size=\"104812544\", alpha=\"0.04\", expect_size=\"52406272\"] \n  30 -> 31 [size =\"52406272\"]\n  31 [size=\"75208704\", alpha=\"0.15\", expect_size=\"37604352\"] \n  31 -> 32 [size =\"37604352\"]\n  32 [size=\"45762560\", alpha=\"0.04\", expect_size=\"22881280\"] \n  32 -> 33 [size =\"22881280\"]\n  33 [size=\"50122752\", alpha=\"0.02\", expect_size=\"25061376\"] \n  33 -> 34 [size =\"25061376\"]\n  34 [size=\"81387520\", alpha=\"0.16\", expect_size=\"40693760\"] \n  34 -> 35 [size =\"40693760\"]\n  35 [size=\"103393280\", alpha=\"0.15\", expect_size=\"51696640\"] \n  35 -> 36 [size =\"51696640\"]\n  36 [size=\"51124224\", alpha=\"0.17\", expect_size=\"25562112\"] \n  36 -> 37 [size =\"25562112\"]\n  37 [size=\"49328128\", alpha=\"0.20\", expect_size=\"24664064\"] \n  37 -> 38 [size =\"24664064\"]\n  38 [size=\"78219264\", alpha=\"0.11\", expect_size=\"39109632\"] \n  38 -> 39 [size =\"39109632\"]\n  39 [size=\"51496960\", alpha=\"0.12\", expect_size=\"25748480\"] \n  39 -> 40 [size =\"25748480\"]\n  40 [size=\"44886016\", alpha=\"0.07\", expect_size=\"22443008\"] \n  40 -> 41 [size =\"22443008\"]\n  41 [size=\"63180800\", alpha=\"0.03\", expect_size=\"31590400\"] \n  41 -> 42 [size =\"31590400\"]\n  42 [size=\"41904128\", alpha=\"0.13\", expect_size=\"20952064\"] \n  42 -> 43 [size =\"20952064\"]\n  43 [size=\"60665856\", alpha=\"0.15\", expect_size=\"30332928\"] \n  43 -> 44 [size =\"30332928\"]\n  44 [size=\"69472256\", alpha=\"0.17\", expect_size=\"34736128\"] \n  44 -> 45 [size =\"34736128\"]\n  45 [size=\"49618944\", alpha=\"0.10\", expect_size=\"24809472\"] \n  45 -> 46 [size =\"24809472\"]\n  46 [size=\"24997888\", alpha=\"0.06\", expect_size=\"12498944\"] \n  46 -> 47 [size =\"12498944\"]\n  47 [size=\"103366656\", alpha=\"0.13\", expect_size=\"51683328\"] \n  47 -> 48 [size =\"51683328\"]\n  48 [size=\"102756352\", alpha=\"0.16\", expect_size=\"51378176\"] \n  48 -> 49 [size =\"51378176\"]\n  49 [size=\"61687808\", alpha=\"0.05\", expect_size=\"30843904\"] \n  49 -> 50 [size =\"30843904\"]\n  50 [size=\"25702400\", alpha=\"0.14\", expect_size=\"12851200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.781.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169758720\", alpha=\"0.18\", expect_size=\"50927616\"] \n  1 -> 10 [size =\"50927616\"]\n  1 -> 12 [size =\"50927616\"]\n  1 -> 12 [size =\"50927616\"]\n  2 [size=\"118995627\", alpha=\"0.20\", expect_size=\"35698688\"] \n  2 -> 9 [size =\"35698688\"]\n  2 -> 10 [size =\"35698688\"]\n  2 -> 11 [size =\"35698688\"]\n  3 [size=\"77018453\", alpha=\"0.09\", expect_size=\"23105536\"] \n  3 -> 7 [size =\"23105536\"]\n  3 -> 8 [size =\"23105536\"]\n  4 [size=\"166372693\", alpha=\"0.10\", expect_size=\"49911808\"] \n  4 -> 11 [size =\"49911808\"]\n  5 [size=\"19667627\", alpha=\"0.05\", expect_size=\"5900288\"] \n  5 -> 11 [size =\"5900288\"]\n  6 [size=\"69550080\", alpha=\"0.10\", expect_size=\"20865024\"] \n  6 -> 7 [size =\"20865024\"]\n  6 -> 9 [size =\"20865024\"]\n  6 -> 12 [size =\"20865024\"]\n  7 [size=\"79499947\", alpha=\"0.07\", expect_size=\"23849984\"] \n  7 -> 19 [size =\"23849984\"]\n  8 [size=\"131095893\", alpha=\"0.11\", expect_size=\"39328768\"] \n  8 -> 15 [size =\"39328768\"]\n  9 [size=\"34983253\", alpha=\"0.10\", expect_size=\"10494976\"] \n  9 -> 13 [size =\"10494976\"]\n  9 -> 14 [size =\"10494976\"]\n  9 -> 17 [size =\"10494976\"]\n  9 -> 18 [size =\"10494976\"]\n  10 [size=\"92139520\", alpha=\"0.14\", expect_size=\"27641856\"] \n  10 -> 14 [size =\"27641856\"]\n  10 -> 19 [size =\"27641856\"]\n  11 [size=\"150401707\", alpha=\"0.14\", expect_size=\"45120512\"] \n  11 -> 14 [size =\"45120512\"]\n  11 -> 16 [size =\"45120512\"]\n  12 [size=\"132744533\", alpha=\"0.08\", expect_size=\"39823360\"] \n  12 -> 17 [size =\"39823360\"]\n  12 -> 18 [size =\"39823360\"]\n  13 [size=\"129293653\", alpha=\"0.07\", expect_size=\"38788096\"] \n  14 [size=\"39778987\", alpha=\"0.05\", expect_size=\"11933696\"] \n  14 -> 20 [size =\"11933696\"]\n  14 -> 21 [size =\"11933696\"]\n  14 -> 24 [size =\"11933696\"]\n  14 -> 25 [size =\"11933696\"]\n  14 -> 26 [size =\"11933696\"]\n  15 [size=\"119176533\", alpha=\"0.02\", expect_size=\"35752960\"] \n  15 -> 20 [size =\"35752960\"]\n  15 -> 25 [size =\"35752960\"]\n  15 -> 26 [size =\"35752960\"]\n  16 [size=\"155136000\", alpha=\"0.13\", expect_size=\"46540800\"] \n  16 -> 22 [size =\"46540800\"]\n  16 -> 23 [size =\"46540800\"]\n  17 [size=\"78080000\", alpha=\"0.14\", expect_size=\"23424000\"] \n  17 -> 22 [size =\"23424000\"]\n  17 -> 23 [size =\"23424000\"]\n  18 [size=\"133597867\", alpha=\"0.01\", expect_size=\"40079360\"] \n  18 -> 22 [size =\"40079360\"]\n  18 -> 23 [size =\"40079360\"]\n  18 -> 24 [size =\"40079360\"]\n  18 -> 26 [size =\"40079360\"]\n  19 [size=\"65979733\", alpha=\"0.06\", expect_size=\"19793920\"] \n  19 -> 20 [size =\"19793920\"]\n  19 -> 22 [size =\"19793920\"]\n  20 [size=\"148128427\", alpha=\"0.01\", expect_size=\"44438528\"] \n  20 -> 29 [size =\"44438528\"]\n  20 -> 30 [size =\"44438528\"]\n  21 [size=\"100389547\", alpha=\"0.16\", expect_size=\"30116864\"] \n  21 -> 27 [size =\"30116864\"]\n  21 -> 28 [size =\"30116864\"]\n  21 -> 30 [size =\"30116864\"]\n  21 -> 31 [size =\"30116864\"]\n  21 -> 32 [size =\"30116864\"]\n  22 [size=\"50957653\", alpha=\"0.04\", expect_size=\"15287296\"] \n  22 -> 27 [size =\"15287296\"]\n  22 -> 28 [size =\"15287296\"]\n  22 -> 30 [size =\"15287296\"]\n  22 -> 31 [size =\"15287296\"]\n  23 [size=\"114220373\", alpha=\"0.20\", expect_size=\"34266112\"] \n  23 -> 27 [size =\"34266112\"]\n  24 [size=\"168205653\", alpha=\"0.14\", expect_size=\"50461696\"] \n  25 [size=\"47991467\", alpha=\"0.09\", expect_size=\"14397440\"] \n  26 [size=\"62310400\", alpha=\"0.10\", expect_size=\"18693120\"] \n  26 -> 30 [size =\"18693120\"]\n  27 [size=\"161880747\", alpha=\"0.19\", expect_size=\"48564224\"] \n  27 -> 34 [size =\"48564224\"]\n  27 -> 37 [size =\"48564224\"]\n  28 [size=\"116022613\", alpha=\"0.03\", expect_size=\"34806784\"] \n  28 -> 37 [size =\"34806784\"]\n  29 [size=\"121569280\", alpha=\"0.09\", expect_size=\"36470784\"] \n  29 -> 36 [size =\"36470784\"]\n  30 [size=\"165509120\", alpha=\"0.04\", expect_size=\"49652736\"] \n  30 -> 33 [size =\"49652736\"]\n  30 -> 34 [size =\"49652736\"]\n  30 -> 35 [size =\"49652736\"]\n  30 -> 36 [size =\"49652736\"]\n  30 -> 37 [size =\"49652736\"]\n  31 [size=\"18036053\", alpha=\"0.17\", expect_size=\"5410816\"] \n  31 -> 39 [size =\"5410816\"]\n  32 [size=\"146012160\", alpha=\"0.04\", expect_size=\"43803648\"] \n  32 -> 34 [size =\"43803648\"]\n  32 -> 35 [size =\"43803648\"]\n  32 -> 38 [size =\"43803648\"]\n  33 [size=\"21807787\", alpha=\"0.05\", expect_size=\"6542336\"] \n  33 -> 40 [size =\"6542336\"]\n  34 [size=\"19544747\", alpha=\"0.09\", expect_size=\"5863424\"] \n  34 -> 41 [size =\"5863424\"]\n  34 -> 42 [size =\"5863424\"]\n  34 -> 43 [size =\"5863424\"]\n  34 -> 44 [size =\"5863424\"]\n  35 [size=\"130829653\", alpha=\"0.06\", expect_size=\"39248896\"] \n  35 -> 42 [size =\"39248896\"]\n  35 -> 45 [size =\"39248896\"]\n  36 [size=\"43287893\", alpha=\"0.00\", expect_size=\"12986368\"] \n  37 [size=\"123559253\", alpha=\"0.02\", expect_size=\"37067776\"] \n  37 -> 40 [size =\"37067776\"]\n  37 -> 43 [size =\"37067776\"]\n  38 [size=\"119101440\", alpha=\"0.19\", expect_size=\"35730432\"] \n  38 -> 40 [size =\"35730432\"]\n  38 -> 41 [size =\"35730432\"]\n  38 -> 42 [size =\"35730432\"]\n  39 [size=\"143534080\", alpha=\"0.02\", expect_size=\"43060224\"] \n  39 -> 40 [size =\"43060224\"]\n  39 -> 43 [size =\"43060224\"]\n  39 -> 44 [size =\"43060224\"]\n  40 [size=\"57077760\", alpha=\"0.02\", expect_size=\"17123328\"] \n  40 -> 47 [size =\"17123328\"]\n  40 -> 48 [size =\"17123328\"]\n  41 [size=\"91692373\", alpha=\"0.12\", expect_size=\"27507712\"] \n  41 -> 48 [size =\"27507712\"]\n  42 [size=\"65727147\", alpha=\"0.07\", expect_size=\"19718144\"] \n  42 -> 46 [size =\"19718144\"]\n  43 [size=\"94453760\", alpha=\"0.14\", expect_size=\"28336128\"] \n  43 -> 46 [size =\"28336128\"]\n  43 -> 48 [size =\"28336128\"]\n  44 [size=\"132403200\", alpha=\"0.20\", expect_size=\"39720960\"] \n  44 -> 46 [size =\"39720960\"]\n  44 -> 47 [size =\"39720960\"]\n  44 -> 50 [size =\"39720960\"]\n  45 [size=\"44591787\", alpha=\"0.09\", expect_size=\"13377536\"] \n  45 -> 49 [size =\"13377536\"]\n  45 -> 50 [size =\"13377536\"]\n  45 -> 50 [size =\"13377536\"]\n  46 [size=\"90009600\", alpha=\"0.05\", expect_size=\"27002880\"] \n  47 [size=\"91743573\", alpha=\"0.19\", expect_size=\"27523072\"] \n  48 [size=\"110397440\", alpha=\"0.05\", expect_size=\"33119232\"] \n  49 [size=\"104813227\", alpha=\"0.05\", expect_size=\"31443968\"] \n  50 [size=\"123487573\", alpha=\"0.04\", expect_size=\"37046272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.782.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81623040\", alpha=\"0.05\", expect_size=\"24486912\"] \n  1 -> 2 [size =\"24486912\"]\n  2 [size=\"103447893\", alpha=\"0.15\", expect_size=\"31034368\"] \n  2 -> 3 [size =\"31034368\"]\n  3 [size=\"20609707\", alpha=\"0.04\", expect_size=\"6182912\"] \n  3 -> 4 [size =\"6182912\"]\n  4 [size=\"105977173\", alpha=\"0.16\", expect_size=\"31793152\"] \n  4 -> 5 [size =\"31793152\"]\n  5 [size=\"23650987\", alpha=\"0.08\", expect_size=\"7095296\"] \n  5 -> 6 [size =\"7095296\"]\n  6 [size=\"34498560\", alpha=\"0.09\", expect_size=\"10349568\"] \n  6 -> 7 [size =\"10349568\"]\n  7 [size=\"29020160\", alpha=\"0.12\", expect_size=\"8706048\"] \n  7 -> 8 [size =\"8706048\"]\n  8 [size=\"48489813\", alpha=\"0.15\", expect_size=\"14546944\"] \n  8 -> 9 [size =\"14546944\"]\n  9 [size=\"70990507\", alpha=\"0.15\", expect_size=\"21297152\"] \n  9 -> 10 [size =\"21297152\"]\n  10 [size=\"71584427\", alpha=\"0.04\", expect_size=\"21475328\"] \n  10 -> 11 [size =\"21475328\"]\n  11 [size=\"37546667\", alpha=\"0.17\", expect_size=\"11264000\"] \n  11 -> 12 [size =\"11264000\"]\n  12 [size=\"76711253\", alpha=\"0.12\", expect_size=\"23013376\"] \n  12 -> 13 [size =\"23013376\"]\n  13 [size=\"37823147\", alpha=\"0.03\", expect_size=\"11346944\"] \n  13 -> 14 [size =\"11346944\"]\n  14 [size=\"72888320\", alpha=\"0.11\", expect_size=\"21866496\"] \n  14 -> 15 [size =\"21866496\"]\n  15 [size=\"39430827\", alpha=\"0.01\", expect_size=\"11829248\"] \n  15 -> 16 [size =\"11829248\"]\n  16 [size=\"98621440\", alpha=\"0.08\", expect_size=\"29586432\"] \n  16 -> 17 [size =\"29586432\"]\n  17 [size=\"169209173\", alpha=\"0.10\", expect_size=\"50762752\"] \n  17 -> 18 [size =\"50762752\"]\n  18 [size=\"106932907\", alpha=\"0.06\", expect_size=\"32079872\"] \n  18 -> 19 [size =\"32079872\"]\n  19 [size=\"64959147\", alpha=\"0.07\", expect_size=\"19487744\"] \n  19 -> 20 [size =\"19487744\"]\n  20 [size=\"22456320\", alpha=\"0.10\", expect_size=\"6736896\"] \n  20 -> 21 [size =\"6736896\"]\n  21 [size=\"55289173\", alpha=\"0.01\", expect_size=\"16586752\"] \n  21 -> 22 [size =\"16586752\"]\n  22 [size=\"32508587\", alpha=\"0.03\", expect_size=\"9752576\"] \n  22 -> 23 [size =\"9752576\"]\n  23 [size=\"124600320\", alpha=\"0.06\", expect_size=\"37380096\"] \n  23 -> 24 [size =\"37380096\"]\n  24 [size=\"147008853\", alpha=\"0.19\", expect_size=\"44102656\"] \n  24 -> 25 [size =\"44102656\"]\n  25 [size=\"78537387\", alpha=\"0.14\", expect_size=\"23561216\"] \n  25 -> 26 [size =\"23561216\"]\n  26 [size=\"89531733\", alpha=\"0.11\", expect_size=\"26859520\"] \n  26 -> 27 [size =\"26859520\"]\n  27 [size=\"151282347\", alpha=\"0.09\", expect_size=\"45384704\"] \n  27 -> 28 [size =\"45384704\"]\n  28 [size=\"72082773\", alpha=\"0.11\", expect_size=\"21624832\"] \n  28 -> 29 [size =\"21624832\"]\n  29 [size=\"117981867\", alpha=\"0.20\", expect_size=\"35394560\"] \n  29 -> 30 [size =\"35394560\"]\n  30 [size=\"17950720\", alpha=\"0.15\", expect_size=\"5385216\"] \n  30 -> 31 [size =\"5385216\"]\n  31 [size=\"98372267\", alpha=\"0.14\", expect_size=\"29511680\"] \n  31 -> 32 [size =\"29511680\"]\n  32 [size=\"108817067\", alpha=\"0.19\", expect_size=\"32645120\"] \n  32 -> 33 [size =\"32645120\"]\n  33 [size=\"135266987\", alpha=\"0.08\", expect_size=\"40580096\"] \n  33 -> 34 [size =\"40580096\"]\n  34 [size=\"23562240\", alpha=\"0.03\", expect_size=\"7068672\"] \n  34 -> 35 [size =\"7068672\"]\n  35 [size=\"19496960\", alpha=\"0.02\", expect_size=\"5849088\"] \n  35 -> 36 [size =\"5849088\"]\n  36 [size=\"129242453\", alpha=\"0.10\", expect_size=\"38772736\"] \n  36 -> 37 [size =\"38772736\"]\n  37 [size=\"55251627\", alpha=\"0.18\", expect_size=\"16575488\"] \n  37 -> 38 [size =\"16575488\"]\n  38 [size=\"123648000\", alpha=\"0.17\", expect_size=\"37094400\"] \n  38 -> 39 [size =\"37094400\"]\n  39 [size=\"50872320\", alpha=\"0.02\", expect_size=\"15261696\"] \n  39 -> 40 [size =\"15261696\"]\n  40 [size=\"47728640\", alpha=\"0.08\", expect_size=\"14318592\"] \n  40 -> 41 [size =\"14318592\"]\n  41 [size=\"168321707\", alpha=\"0.19\", expect_size=\"50496512\"] \n  41 -> 42 [size =\"50496512\"]\n  42 [size=\"118152533\", alpha=\"0.12\", expect_size=\"35445760\"] \n  42 -> 43 [size =\"35445760\"]\n  43 [size=\"113742507\", alpha=\"0.18\", expect_size=\"34122752\"] \n  43 -> 44 [size =\"34122752\"]\n  44 [size=\"18155520\", alpha=\"0.01\", expect_size=\"5446656\"] \n  44 -> 45 [size =\"5446656\"]\n  45 [size=\"44090027\", alpha=\"0.11\", expect_size=\"13227008\"] \n  45 -> 46 [size =\"13227008\"]\n  46 [size=\"56217600\", alpha=\"0.11\", expect_size=\"16865280\"] \n  46 -> 47 [size =\"16865280\"]\n  47 [size=\"135686827\", alpha=\"0.07\", expect_size=\"40706048\"] \n  47 -> 48 [size =\"40706048\"]\n  48 [size=\"119654400\", alpha=\"0.11\", expect_size=\"35896320\"] \n  48 -> 49 [size =\"35896320\"]\n  49 [size=\"97583787\", alpha=\"0.07\", expect_size=\"29275136\"] \n  49 -> 50 [size =\"29275136\"]\n  50 [size=\"116957867\", alpha=\"0.04\", expect_size=\"35087360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.783.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95833600\", alpha=\"0.09\", expect_size=\"38333440\"] \n  1 -> 6 [size =\"38333440\"]\n  1 -> 10 [size =\"38333440\"]\n  2 [size=\"49236480\", alpha=\"0.14\", expect_size=\"19694592\"] \n  2 -> 8 [size =\"19694592\"]\n  2 -> 9 [size =\"19694592\"]\n  3 [size=\"114641920\", alpha=\"0.03\", expect_size=\"45856768\"] \n  3 -> 8 [size =\"45856768\"]\n  3 -> 10 [size =\"45856768\"]\n  4 [size=\"74734080\", alpha=\"0.13\", expect_size=\"29893632\"] \n  4 -> 7 [size =\"29893632\"]\n  4 -> 10 [size =\"29893632\"]\n  5 [size=\"110489600\", alpha=\"0.11\", expect_size=\"44195840\"] \n  5 -> 7 [size =\"44195840\"]\n  5 -> 9 [size =\"44195840\"]\n  6 [size=\"112404480\", alpha=\"0.19\", expect_size=\"44961792\"] \n  6 -> 11 [size =\"44961792\"]\n  6 -> 14 [size =\"44961792\"]\n  7 [size=\"44293120\", alpha=\"0.05\", expect_size=\"17717248\"] \n  7 -> 14 [size =\"17717248\"]\n  7 -> 15 [size =\"17717248\"]\n  7 -> 16 [size =\"17717248\"]\n  7 -> 17 [size =\"17717248\"]\n  8 [size=\"14794240\", alpha=\"0.08\", expect_size=\"5917696\"] \n  8 -> 13 [size =\"5917696\"]\n  8 -> 14 [size =\"5917696\"]\n  8 -> 16 [size =\"5917696\"]\n  9 [size=\"20436480\", alpha=\"0.03\", expect_size=\"8174592\"] \n  9 -> 11 [size =\"8174592\"]\n  9 -> 12 [size =\"8174592\"]\n  9 -> 15 [size =\"8174592\"]\n  10 [size=\"33088000\", alpha=\"0.16\", expect_size=\"13235200\"] \n  10 -> 11 [size =\"13235200\"]\n  10 -> 13 [size =\"13235200\"]\n  11 [size=\"99107840\", alpha=\"0.02\", expect_size=\"39643136\"] \n  11 -> 19 [size =\"39643136\"]\n  11 -> 20 [size =\"39643136\"]\n  11 -> 21 [size =\"39643136\"]\n  11 -> 22 [size =\"39643136\"]\n  12 [size=\"32627200\", alpha=\"0.19\", expect_size=\"13050880\"] \n  12 -> 19 [size =\"13050880\"]\n  12 -> 20 [size =\"13050880\"]\n  12 -> 21 [size =\"13050880\"]\n  12 -> 22 [size =\"13050880\"]\n  13 [size=\"114961920\", alpha=\"0.05\", expect_size=\"45984768\"] \n  13 -> 19 [size =\"45984768\"]\n  13 -> 21 [size =\"45984768\"]\n  13 -> 22 [size =\"45984768\"]\n  13 -> 22 [size =\"45984768\"]\n  13 -> 24 [size =\"45984768\"]\n  14 [size=\"17354240\", alpha=\"0.19\", expect_size=\"6941696\"] \n  14 -> 23 [size =\"6941696\"]\n  14 -> 25 [size =\"6941696\"]\n  15 [size=\"96430080\", alpha=\"0.10\", expect_size=\"38572032\"] \n  16 [size=\"44712960\", alpha=\"0.00\", expect_size=\"17885184\"] \n  16 -> 18 [size =\"17885184\"]\n  17 [size=\"39191040\", alpha=\"0.18\", expect_size=\"15676416\"] \n  17 -> 19 [size =\"15676416\"]\n  17 -> 22 [size =\"15676416\"]\n  18 [size=\"69160960\", alpha=\"0.15\", expect_size=\"27664384\"] \n  18 -> 27 [size =\"27664384\"]\n  18 -> 28 [size =\"27664384\"]\n  19 [size=\"117603840\", alpha=\"0.04\", expect_size=\"47041536\"] \n  19 -> 28 [size =\"47041536\"]\n  19 -> 29 [size =\"47041536\"]\n  19 -> 30 [size =\"47041536\"]\n  20 [size=\"17390080\", alpha=\"0.02\", expect_size=\"6956032\"] \n  20 -> 27 [size =\"6956032\"]\n  20 -> 28 [size =\"6956032\"]\n  20 -> 29 [size =\"6956032\"]\n  21 [size=\"109102080\", alpha=\"0.14\", expect_size=\"43640832\"] \n  22 [size=\"122772480\", alpha=\"0.12\", expect_size=\"49108992\"] \n  22 -> 26 [size =\"49108992\"]\n  22 -> 28 [size =\"49108992\"]\n  22 -> 30 [size =\"49108992\"]\n  23 [size=\"116912640\", alpha=\"0.07\", expect_size=\"46765056\"] \n  23 -> 27 [size =\"46765056\"]\n  23 -> 28 [size =\"46765056\"]\n  24 [size=\"27878400\", alpha=\"0.13\", expect_size=\"11151360\"] \n  24 -> 29 [size =\"11151360\"]\n  25 [size=\"19543040\", alpha=\"0.15\", expect_size=\"7817216\"] \n  26 [size=\"81397760\", alpha=\"0.15\", expect_size=\"32559104\"] \n  26 -> 32 [size =\"32559104\"]\n  26 -> 33 [size =\"32559104\"]\n  26 -> 33 [size =\"32559104\"]\n  26 -> 35 [size =\"32559104\"]\n  27 [size=\"82836480\", alpha=\"0.19\", expect_size=\"33134592\"] \n  27 -> 35 [size =\"33134592\"]\n  28 [size=\"71354880\", alpha=\"0.04\", expect_size=\"28541952\"] \n  28 -> 31 [size =\"28541952\"]\n  28 -> 35 [size =\"28541952\"]\n  29 [size=\"39900160\", alpha=\"0.10\", expect_size=\"15960064\"] \n  29 -> 32 [size =\"15960064\"]\n  29 -> 34 [size =\"15960064\"]\n  30 [size=\"63457280\", alpha=\"0.19\", expect_size=\"25382912\"] \n  30 -> 31 [size =\"25382912\"]\n  30 -> 32 [size =\"25382912\"]\n  30 -> 33 [size =\"25382912\"]\n  30 -> 36 [size =\"25382912\"]\n  31 [size=\"74974720\", alpha=\"0.03\", expect_size=\"29989888\"] \n  31 -> 37 [size =\"29989888\"]\n  31 -> 38 [size =\"29989888\"]\n  31 -> 43 [size =\"29989888\"]\n  32 [size=\"39216640\", alpha=\"0.10\", expect_size=\"15686656\"] \n  32 -> 37 [size =\"15686656\"]\n  32 -> 38 [size =\"15686656\"]\n  32 -> 40 [size =\"15686656\"]\n  32 -> 41 [size =\"15686656\"]\n  32 -> 43 [size =\"15686656\"]\n  33 [size=\"110277120\", alpha=\"0.15\", expect_size=\"44110848\"] \n  33 -> 37 [size =\"44110848\"]\n  33 -> 39 [size =\"44110848\"]\n  33 -> 40 [size =\"44110848\"]\n  34 [size=\"35799040\", alpha=\"0.20\", expect_size=\"14319616\"] \n  34 -> 38 [size =\"14319616\"]\n  34 -> 39 [size =\"14319616\"]\n  34 -> 41 [size =\"14319616\"]\n  34 -> 43 [size =\"14319616\"]\n  35 [size=\"113341440\", alpha=\"0.19\", expect_size=\"45336576\"] \n  35 -> 39 [size =\"45336576\"]\n  35 -> 42 [size =\"45336576\"]\n  35 -> 43 [size =\"45336576\"]\n  36 [size=\"86389760\", alpha=\"0.04\", expect_size=\"34555904\"] \n  36 -> 37 [size =\"34555904\"]\n  36 -> 38 [size =\"34555904\"]\n  36 -> 41 [size =\"34555904\"]\n  37 [size=\"54243840\", alpha=\"0.13\", expect_size=\"21697536\"] \n  37 -> 48 [size =\"21697536\"]\n  38 [size=\"48094720\", alpha=\"0.11\", expect_size=\"19237888\"] \n  38 -> 47 [size =\"19237888\"]\n  38 -> 48 [size =\"19237888\"]\n  38 -> 49 [size =\"19237888\"]\n  39 [size=\"69629440\", alpha=\"0.08\", expect_size=\"27851776\"] \n  39 -> 48 [size =\"27851776\"]\n  39 -> 49 [size =\"27851776\"]\n  39 -> 50 [size =\"27851776\"]\n  40 [size=\"126177280\", alpha=\"0.05\", expect_size=\"50470912\"] \n  40 -> 44 [size =\"50470912\"]\n  40 -> 46 [size =\"50470912\"]\n  40 -> 49 [size =\"50470912\"]\n  41 [size=\"119756800\", alpha=\"0.18\", expect_size=\"47902720\"] \n  41 -> 44 [size =\"47902720\"]\n  42 [size=\"18406400\", alpha=\"0.10\", expect_size=\"7362560\"] \n  42 -> 46 [size =\"7362560\"]\n  42 -> 48 [size =\"7362560\"]\n  43 [size=\"77575680\", alpha=\"0.20\", expect_size=\"31030272\"] \n  43 -> 45 [size =\"31030272\"]\n  43 -> 49 [size =\"31030272\"]\n  44 [size=\"45224960\", alpha=\"0.12\", expect_size=\"18089984\"] \n  45 [size=\"43568640\", alpha=\"0.05\", expect_size=\"17427456\"] \n  46 [size=\"37964800\", alpha=\"0.10\", expect_size=\"15185920\"] \n  47 [size=\"60021760\", alpha=\"0.06\", expect_size=\"24008704\"] \n  48 [size=\"17856000\", alpha=\"0.12\", expect_size=\"7142400\"] \n  49 [size=\"85491200\", alpha=\"0.03\", expect_size=\"34196480\"] \n  50 [size=\"13532160\", alpha=\"0.03\", expect_size=\"5412864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.784.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23521280\", alpha=\"0.10\", expect_size=\"11760640\"] \n  1 -> 12 [size =\"11760640\"]\n  2 [size=\"99330048\", alpha=\"0.12\", expect_size=\"49665024\"] \n  2 -> 11 [size =\"49665024\"]\n  2 -> 14 [size =\"49665024\"]\n  3 [size=\"84545536\", alpha=\"0.14\", expect_size=\"42272768\"] \n  3 -> 12 [size =\"42272768\"]\n  3 -> 14 [size =\"42272768\"]\n  4 [size=\"59150336\", alpha=\"0.01\", expect_size=\"29575168\"] \n  4 -> 9 [size =\"29575168\"]\n  4 -> 10 [size =\"29575168\"]\n  4 -> 14 [size =\"29575168\"]\n  5 [size=\"54831104\", alpha=\"0.04\", expect_size=\"27415552\"] \n  5 -> 10 [size =\"27415552\"]\n  5 -> 13 [size =\"27415552\"]\n  6 [size=\"51851264\", alpha=\"0.08\", expect_size=\"25925632\"] \n  6 -> 10 [size =\"25925632\"]\n  7 [size=\"93267968\", alpha=\"0.05\", expect_size=\"46633984\"] \n  8 [size=\"95199232\", alpha=\"0.10\", expect_size=\"47599616\"] \n  8 -> 11 [size =\"47599616\"]\n  9 [size=\"82472960\", alpha=\"0.05\", expect_size=\"41236480\"] \n  9 -> 16 [size =\"41236480\"]\n  9 -> 21 [size =\"41236480\"]\n  10 [size=\"23048192\", alpha=\"0.02\", expect_size=\"11524096\"] \n  10 -> 18 [size =\"11524096\"]\n  10 -> 20 [size =\"11524096\"]\n  10 -> 21 [size =\"11524096\"]\n  11 [size=\"102078464\", alpha=\"0.08\", expect_size=\"51039232\"] \n  11 -> 15 [size =\"51039232\"]\n  11 -> 17 [size =\"51039232\"]\n  11 -> 21 [size =\"51039232\"]\n  12 [size=\"54331392\", alpha=\"0.01\", expect_size=\"27165696\"] \n  13 [size=\"18546688\", alpha=\"0.07\", expect_size=\"9273344\"] \n  13 -> 16 [size =\"9273344\"]\n  14 [size=\"84129792\", alpha=\"0.18\", expect_size=\"42064896\"] \n  14 -> 16 [size =\"42064896\"]\n  14 -> 18 [size =\"42064896\"]\n  14 -> 19 [size =\"42064896\"]\n  15 [size=\"88641536\", alpha=\"0.17\", expect_size=\"44320768\"] \n  16 [size=\"10940416\", alpha=\"0.08\", expect_size=\"5470208\"] \n  17 [size=\"50141184\", alpha=\"0.11\", expect_size=\"25070592\"] \n  18 [size=\"73168896\", alpha=\"0.03\", expect_size=\"36584448\"] \n  18 -> 22 [size =\"36584448\"]\n  18 -> 25 [size =\"36584448\"]\n  18 -> 26 [size =\"36584448\"]\n  18 -> 27 [size =\"36584448\"]\n  19 [size=\"27713536\", alpha=\"0.02\", expect_size=\"13856768\"] \n  19 -> 23 [size =\"13856768\"]\n  19 -> 25 [size =\"13856768\"]\n  19 -> 26 [size =\"13856768\"]\n  19 -> 27 [size =\"13856768\"]\n  20 [size=\"51412992\", alpha=\"0.01\", expect_size=\"25706496\"] \n  20 -> 22 [size =\"25706496\"]\n  20 -> 23 [size =\"25706496\"]\n  20 -> 25 [size =\"25706496\"]\n  20 -> 26 [size =\"25706496\"]\n  21 [size=\"62224384\", alpha=\"0.02\", expect_size=\"31112192\"] \n  21 -> 22 [size =\"31112192\"]\n  21 -> 23 [size =\"31112192\"]\n  21 -> 24 [size =\"31112192\"]\n  22 [size=\"101412864\", alpha=\"0.03\", expect_size=\"50706432\"] \n  22 -> 28 [size =\"50706432\"]\n  22 -> 30 [size =\"50706432\"]\n  22 -> 31 [size =\"50706432\"]\n  22 -> 35 [size =\"50706432\"]\n  23 [size=\"104388608\", alpha=\"0.19\", expect_size=\"52194304\"] \n  23 -> 32 [size =\"52194304\"]\n  23 -> 33 [size =\"52194304\"]\n  24 [size=\"43902976\", alpha=\"0.05\", expect_size=\"21951488\"] \n  24 -> 31 [size =\"21951488\"]\n  24 -> 32 [size =\"21951488\"]\n  24 -> 34 [size =\"21951488\"]\n  25 [size=\"33564672\", alpha=\"0.01\", expect_size=\"16782336\"] \n  25 -> 34 [size =\"16782336\"]\n  26 [size=\"18214912\", alpha=\"0.05\", expect_size=\"9107456\"] \n  26 -> 28 [size =\"9107456\"]\n  26 -> 29 [size =\"9107456\"]\n  26 -> 31 [size =\"9107456\"]\n  26 -> 33 [size =\"9107456\"]\n  26 -> 35 [size =\"9107456\"]\n  27 [size=\"55343104\", alpha=\"0.07\", expect_size=\"27671552\"] \n  27 -> 28 [size =\"27671552\"]\n  28 [size=\"12298240\", alpha=\"0.07\", expect_size=\"6149120\"] \n  28 -> 39 [size =\"6149120\"]\n  28 -> 40 [size =\"6149120\"]\n  28 -> 41 [size =\"6149120\"]\n  28 -> 43 [size =\"6149120\"]\n  29 [size=\"26062848\", alpha=\"0.02\", expect_size=\"13031424\"] \n  29 -> 36 [size =\"13031424\"]\n  29 -> 37 [size =\"13031424\"]\n  29 -> 41 [size =\"13031424\"]\n  29 -> 43 [size =\"13031424\"]\n  30 [size=\"36796416\", alpha=\"0.20\", expect_size=\"18398208\"] \n  30 -> 36 [size =\"18398208\"]\n  30 -> 41 [size =\"18398208\"]\n  30 -> 42 [size =\"18398208\"]\n  31 [size=\"41267200\", alpha=\"0.17\", expect_size=\"20633600\"] \n  32 [size=\"52506624\", alpha=\"0.04\", expect_size=\"26253312\"] \n  32 -> 38 [size =\"26253312\"]\n  33 [size=\"64991232\", alpha=\"0.12\", expect_size=\"32495616\"] \n  33 -> 38 [size =\"32495616\"]\n  33 -> 39 [size =\"32495616\"]\n  34 [size=\"58406912\", alpha=\"0.16\", expect_size=\"29203456\"] \n  34 -> 39 [size =\"29203456\"]\n  34 -> 40 [size =\"29203456\"]\n  34 -> 42 [size =\"29203456\"]\n  35 [size=\"81424384\", alpha=\"0.16\", expect_size=\"40712192\"] \n  35 -> 37 [size =\"40712192\"]\n  35 -> 38 [size =\"40712192\"]\n  35 -> 39 [size =\"40712192\"]\n  35 -> 42 [size =\"40712192\"]\n  36 [size=\"84013056\", alpha=\"0.17\", expect_size=\"42006528\"] \n  36 -> 45 [size =\"42006528\"]\n  36 -> 48 [size =\"42006528\"]\n  36 -> 49 [size =\"42006528\"]\n  36 -> 50 [size =\"42006528\"]\n  37 [size=\"13168640\", alpha=\"0.06\", expect_size=\"6584320\"] \n  37 -> 45 [size =\"6584320\"]\n  37 -> 47 [size =\"6584320\"]\n  37 -> 48 [size =\"6584320\"]\n  38 [size=\"46047232\", alpha=\"0.08\", expect_size=\"23023616\"] \n  38 -> 44 [size =\"23023616\"]\n  38 -> 45 [size =\"23023616\"]\n  39 [size=\"78618624\", alpha=\"0.14\", expect_size=\"39309312\"] \n  39 -> 44 [size =\"39309312\"]\n  39 -> 50 [size =\"39309312\"]\n  40 [size=\"88500224\", alpha=\"0.08\", expect_size=\"44250112\"] \n  40 -> 46 [size =\"44250112\"]\n  41 [size=\"88256512\", alpha=\"0.14\", expect_size=\"44128256\"] \n  41 -> 48 [size =\"44128256\"]\n  41 -> 49 [size =\"44128256\"]\n  42 [size=\"75106304\", alpha=\"0.19\", expect_size=\"37553152\"] \n  42 -> 44 [size =\"37553152\"]\n  43 [size=\"92901376\", alpha=\"0.03\", expect_size=\"46450688\"] \n  43 -> 44 [size =\"46450688\"]\n  43 -> 47 [size =\"46450688\"]\n  43 -> 48 [size =\"46450688\"]\n  43 -> 49 [size =\"46450688\"]\n  44 [size=\"55330816\", alpha=\"0.15\", expect_size=\"27665408\"] \n  45 [size=\"36036608\", alpha=\"0.12\", expect_size=\"18018304\"] \n  46 [size=\"18804736\", alpha=\"0.10\", expect_size=\"9402368\"] \n  47 [size=\"98463744\", alpha=\"0.18\", expect_size=\"49231872\"] \n  48 [size=\"31553536\", alpha=\"0.06\", expect_size=\"15776768\"] \n  49 [size=\"69500928\", alpha=\"0.18\", expect_size=\"34750464\"] \n  50 [size=\"40792064\", alpha=\"0.15\", expect_size=\"20396032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.785.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52062208\", alpha=\"0.02\", expect_size=\"26031104\"] \n  1 -> 4 [size =\"26031104\"]\n  1 -> 5 [size =\"26031104\"]\n  2 [size=\"85274624\", alpha=\"0.16\", expect_size=\"42637312\"] \n  2 -> 5 [size =\"42637312\"]\n  3 [size=\"46637056\", alpha=\"0.11\", expect_size=\"23318528\"] \n  3 -> 4 [size =\"23318528\"]\n  3 -> 5 [size =\"23318528\"]\n  4 [size=\"24143872\", alpha=\"0.05\", expect_size=\"12071936\"] \n  4 -> 7 [size =\"12071936\"]\n  4 -> 9 [size =\"12071936\"]\n  5 [size=\"35151872\", alpha=\"0.08\", expect_size=\"17575936\"] \n  5 -> 6 [size =\"17575936\"]\n  5 -> 7 [size =\"17575936\"]\n  5 -> 8 [size =\"17575936\"]\n  5 -> 9 [size =\"17575936\"]\n  6 [size=\"19988480\", alpha=\"0.15\", expect_size=\"9994240\"] \n  6 -> 10 [size =\"9994240\"]\n  7 [size=\"48906240\", alpha=\"0.20\", expect_size=\"24453120\"] \n  8 [size=\"87885824\", alpha=\"0.19\", expect_size=\"43942912\"] \n  8 -> 10 [size =\"43942912\"]\n  8 -> 12 [size =\"43942912\"]\n  9 [size=\"82364416\", alpha=\"0.17\", expect_size=\"41182208\"] \n  9 -> 11 [size =\"41182208\"]\n  10 [size=\"64641024\", alpha=\"0.14\", expect_size=\"32320512\"] \n  10 -> 13 [size =\"32320512\"]\n  11 [size=\"70434816\", alpha=\"0.10\", expect_size=\"35217408\"] \n  11 -> 13 [size =\"35217408\"]\n  11 -> 14 [size =\"35217408\"]\n  12 [size=\"79224832\", alpha=\"0.07\", expect_size=\"39612416\"] \n  12 -> 13 [size =\"39612416\"]\n  12 -> 14 [size =\"39612416\"]\n  13 [size=\"60340224\", alpha=\"0.04\", expect_size=\"30170112\"] \n  13 -> 15 [size =\"30170112\"]\n  13 -> 16 [size =\"30170112\"]\n  14 [size=\"19918848\", alpha=\"0.06\", expect_size=\"9959424\"] \n  14 -> 15 [size =\"9959424\"]\n  14 -> 16 [size =\"9959424\"]\n  15 [size=\"41762816\", alpha=\"0.19\", expect_size=\"20881408\"] \n  15 -> 17 [size =\"20881408\"]\n  15 -> 18 [size =\"20881408\"]\n  15 -> 19 [size =\"20881408\"]\n  16 [size=\"81766400\", alpha=\"0.03\", expect_size=\"40883200\"] \n  16 -> 17 [size =\"40883200\"]\n  16 -> 18 [size =\"40883200\"]\n  16 -> 19 [size =\"40883200\"]\n  17 [size=\"58941440\", alpha=\"0.18\", expect_size=\"29470720\"] \n  17 -> 21 [size =\"29470720\"]\n  18 [size=\"57718784\", alpha=\"0.17\", expect_size=\"28859392\"] \n  18 -> 20 [size =\"28859392\"]\n  19 [size=\"52862976\", alpha=\"0.13\", expect_size=\"26431488\"] \n  19 -> 20 [size =\"26431488\"]\n  20 [size=\"37621760\", alpha=\"0.13\", expect_size=\"18810880\"] \n  20 -> 22 [size =\"18810880\"]\n  20 -> 23 [size =\"18810880\"]\n  21 [size=\"11169792\", alpha=\"0.01\", expect_size=\"5584896\"] \n  21 -> 22 [size =\"5584896\"]\n  22 [size=\"59916288\", alpha=\"0.05\", expect_size=\"29958144\"] \n  22 -> 25 [size =\"29958144\"]\n  23 [size=\"94349312\", alpha=\"0.16\", expect_size=\"47174656\"] \n  23 -> 24 [size =\"47174656\"]\n  23 -> 25 [size =\"47174656\"]\n  24 [size=\"19468288\", alpha=\"0.11\", expect_size=\"9734144\"] \n  24 -> 27 [size =\"9734144\"]\n  24 -> 29 [size =\"9734144\"]\n  25 [size=\"47484928\", alpha=\"0.11\", expect_size=\"23742464\"] \n  25 -> 26 [size =\"23742464\"]\n  25 -> 27 [size =\"23742464\"]\n  25 -> 28 [size =\"23742464\"]\n  26 [size=\"44777472\", alpha=\"0.12\", expect_size=\"22388736\"] \n  26 -> 30 [size =\"22388736\"]\n  26 -> 32 [size =\"22388736\"]\n  26 -> 33 [size =\"22388736\"]\n  27 [size=\"59772928\", alpha=\"0.02\", expect_size=\"29886464\"] \n  27 -> 30 [size =\"29886464\"]\n  27 -> 31 [size =\"29886464\"]\n  27 -> 32 [size =\"29886464\"]\n  27 -> 33 [size =\"29886464\"]\n  28 [size=\"51200000\", alpha=\"0.09\", expect_size=\"25600000\"] \n  28 -> 31 [size =\"25600000\"]\n  28 -> 32 [size =\"25600000\"]\n  28 -> 33 [size =\"25600000\"]\n  29 [size=\"34836480\", alpha=\"0.10\", expect_size=\"17418240\"] \n  29 -> 30 [size =\"17418240\"]\n  29 -> 32 [size =\"17418240\"]\n  29 -> 33 [size =\"17418240\"]\n  30 [size=\"98254848\", alpha=\"0.03\", expect_size=\"49127424\"] \n  30 -> 35 [size =\"49127424\"]\n  30 -> 36 [size =\"49127424\"]\n  31 [size=\"63993856\", alpha=\"0.09\", expect_size=\"31996928\"] \n  31 -> 35 [size =\"31996928\"]\n  31 -> 36 [size =\"31996928\"]\n  31 -> 37 [size =\"31996928\"]\n  32 [size=\"68003840\", alpha=\"0.09\", expect_size=\"34001920\"] \n  32 -> 34 [size =\"34001920\"]\n  32 -> 35 [size =\"34001920\"]\n  33 [size=\"90699776\", alpha=\"0.00\", expect_size=\"45349888\"] \n  33 -> 35 [size =\"45349888\"]\n  34 [size=\"73865216\", alpha=\"0.13\", expect_size=\"36932608\"] \n  34 -> 39 [size =\"36932608\"]\n  34 -> 40 [size =\"36932608\"]\n  35 [size=\"31156224\", alpha=\"0.12\", expect_size=\"15578112\"] \n  35 -> 39 [size =\"15578112\"]\n  35 -> 40 [size =\"15578112\"]\n  35 -> 41 [size =\"15578112\"]\n  36 [size=\"81612800\", alpha=\"0.07\", expect_size=\"40806400\"] \n  36 -> 38 [size =\"40806400\"]\n  37 [size=\"45996032\", alpha=\"0.12\", expect_size=\"22998016\"] \n  37 -> 40 [size =\"22998016\"]\n  37 -> 41 [size =\"22998016\"]\n  38 [size=\"57098240\", alpha=\"0.07\", expect_size=\"28549120\"] \n  38 -> 42 [size =\"28549120\"]\n  38 -> 43 [size =\"28549120\"]\n  39 [size=\"97951744\", alpha=\"0.11\", expect_size=\"48975872\"] \n  39 -> 42 [size =\"48975872\"]\n  39 -> 43 [size =\"48975872\"]\n  40 [size=\"51689472\", alpha=\"0.00\", expect_size=\"25844736\"] \n  40 -> 42 [size =\"25844736\"]\n  40 -> 43 [size =\"25844736\"]\n  41 [size=\"66840576\", alpha=\"0.10\", expect_size=\"33420288\"] \n  41 -> 42 [size =\"33420288\"]\n  41 -> 43 [size =\"33420288\"]\n  41 -> 44 [size =\"33420288\"]\n  42 [size=\"14612480\", alpha=\"0.10\", expect_size=\"7306240\"] \n  42 -> 45 [size =\"7306240\"]\n  43 [size=\"58114048\", alpha=\"0.08\", expect_size=\"29057024\"] \n  43 -> 45 [size =\"29057024\"]\n  44 [size=\"58460160\", alpha=\"0.08\", expect_size=\"29230080\"] \n  44 -> 45 [size =\"29230080\"]\n  45 [size=\"25083904\", alpha=\"0.16\", expect_size=\"12541952\"] \n  45 -> 46 [size =\"12541952\"]\n  45 -> 47 [size =\"12541952\"]\n  45 -> 48 [size =\"12541952\"]\n  45 -> 49 [size =\"12541952\"]\n  46 [size=\"83632128\", alpha=\"0.11\", expect_size=\"41816064\"] \n  47 [size=\"22278144\", alpha=\"0.16\", expect_size=\"11139072\"] \n  47 -> 50 [size =\"11139072\"]\n  48 [size=\"78215168\", alpha=\"0.10\", expect_size=\"39107584\"] \n  49 [size=\"15566848\", alpha=\"0.10\", expect_size=\"7783424\"] \n  49 -> 50 [size =\"7783424\"]\n  50 [size=\"65449984\", alpha=\"0.07\", expect_size=\"32724992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.786.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95473664\", alpha=\"0.01\", expect_size=\"47736832\"] \n  1 -> 4 [size =\"47736832\"]\n  1 -> 6 [size =\"47736832\"]\n  2 [size=\"89964544\", alpha=\"0.10\", expect_size=\"44982272\"] \n  2 -> 5 [size =\"44982272\"]\n  3 [size=\"13891584\", alpha=\"0.17\", expect_size=\"6945792\"] \n  3 -> 4 [size =\"6945792\"]\n  3 -> 5 [size =\"6945792\"]\n  4 [size=\"104335360\", alpha=\"0.08\", expect_size=\"52167680\"] \n  4 -> 8 [size =\"52167680\"]\n  5 [size=\"52011008\", alpha=\"0.12\", expect_size=\"26005504\"] \n  5 -> 7 [size =\"26005504\"]\n  5 -> 8 [size =\"26005504\"]\n  6 [size=\"75548672\", alpha=\"0.08\", expect_size=\"37774336\"] \n  7 [size=\"30803968\", alpha=\"0.18\", expect_size=\"15401984\"] \n  7 -> 10 [size =\"15401984\"]\n  7 -> 11 [size =\"15401984\"]\n  8 [size=\"56078336\", alpha=\"0.08\", expect_size=\"28039168\"] \n  8 -> 9 [size =\"28039168\"]\n  8 -> 11 [size =\"28039168\"]\n  9 [size=\"37081088\", alpha=\"0.13\", expect_size=\"18540544\"] \n  9 -> 12 [size =\"18540544\"]\n  10 [size=\"45971456\", alpha=\"0.15\", expect_size=\"22985728\"] \n  10 -> 12 [size =\"22985728\"]\n  10 -> 13 [size =\"22985728\"]\n  11 [size=\"68929536\", alpha=\"0.01\", expect_size=\"34464768\"] \n  12 [size=\"73547776\", alpha=\"0.17\", expect_size=\"36773888\"] \n  12 -> 14 [size =\"36773888\"]\n  12 -> 15 [size =\"36773888\"]\n  13 [size=\"26327040\", alpha=\"0.02\", expect_size=\"13163520\"] \n  14 [size=\"14004224\", alpha=\"0.04\", expect_size=\"7002112\"] \n  14 -> 16 [size =\"7002112\"]\n  14 -> 17 [size =\"7002112\"]\n  15 [size=\"50817024\", alpha=\"0.18\", expect_size=\"25408512\"] \n  16 [size=\"12574720\", alpha=\"0.19\", expect_size=\"6287360\"] \n  16 -> 18 [size =\"6287360\"]\n  16 -> 20 [size =\"6287360\"]\n  17 [size=\"51873792\", alpha=\"0.16\", expect_size=\"25936896\"] \n  17 -> 18 [size =\"25936896\"]\n  17 -> 19 [size =\"25936896\"]\n  18 [size=\"42416128\", alpha=\"0.08\", expect_size=\"21208064\"] \n  19 [size=\"79839232\", alpha=\"0.00\", expect_size=\"39919616\"] \n  19 -> 21 [size =\"39919616\"]\n  20 [size=\"46284800\", alpha=\"0.09\", expect_size=\"23142400\"] \n  20 -> 22 [size =\"23142400\"]\n  20 -> 23 [size =\"23142400\"]\n  21 [size=\"24451072\", alpha=\"0.16\", expect_size=\"12225536\"] \n  21 -> 24 [size =\"12225536\"]\n  21 -> 25 [size =\"12225536\"]\n  21 -> 26 [size =\"12225536\"]\n  22 [size=\"26955776\", alpha=\"0.20\", expect_size=\"13477888\"] \n  23 [size=\"10991616\", alpha=\"0.04\", expect_size=\"5495808\"] \n  23 -> 24 [size =\"5495808\"]\n  23 -> 26 [size =\"5495808\"]\n  24 [size=\"21399552\", alpha=\"0.09\", expect_size=\"10699776\"] \n  25 [size=\"39370752\", alpha=\"0.02\", expect_size=\"19685376\"] \n  25 -> 28 [size =\"19685376\"]\n  26 [size=\"32172032\", alpha=\"0.09\", expect_size=\"16086016\"] \n  26 -> 27 [size =\"16086016\"]\n  26 -> 28 [size =\"16086016\"]\n  27 [size=\"26636288\", alpha=\"0.00\", expect_size=\"13318144\"] \n  27 -> 29 [size =\"13318144\"]\n  27 -> 30 [size =\"13318144\"]\n  28 [size=\"101664768\", alpha=\"0.01\", expect_size=\"50832384\"] \n  28 -> 29 [size =\"50832384\"]\n  29 [size=\"43034624\", alpha=\"0.08\", expect_size=\"21517312\"] \n  29 -> 32 [size =\"21517312\"]\n  29 -> 33 [size =\"21517312\"]\n  30 [size=\"43091968\", alpha=\"0.02\", expect_size=\"21545984\"] \n  30 -> 31 [size =\"21545984\"]\n  31 [size=\"85460992\", alpha=\"0.09\", expect_size=\"42730496\"] \n  31 -> 34 [size =\"42730496\"]\n  32 [size=\"66387968\", alpha=\"0.09\", expect_size=\"33193984\"] \n  32 -> 34 [size =\"33193984\"]\n  32 -> 35 [size =\"33193984\"]\n  33 [size=\"65353728\", alpha=\"0.12\", expect_size=\"32676864\"] \n  34 [size=\"85766144\", alpha=\"0.16\", expect_size=\"42883072\"] \n  34 -> 37 [size =\"42883072\"]\n  34 -> 38 [size =\"42883072\"]\n  35 [size=\"32731136\", alpha=\"0.08\", expect_size=\"16365568\"] \n  35 -> 36 [size =\"16365568\"]\n  35 -> 37 [size =\"16365568\"]\n  35 -> 38 [size =\"16365568\"]\n  36 [size=\"42149888\", alpha=\"0.01\", expect_size=\"21074944\"] \n  37 [size=\"84713472\", alpha=\"0.03\", expect_size=\"42356736\"] \n  38 [size=\"86366208\", alpha=\"0.12\", expect_size=\"43183104\"] \n  38 -> 39 [size =\"43183104\"]\n  38 -> 40 [size =\"43183104\"]\n  39 [size=\"92706816\", alpha=\"0.15\", expect_size=\"46353408\"] \n  39 -> 41 [size =\"46353408\"]\n  39 -> 42 [size =\"46353408\"]\n  40 [size=\"35954688\", alpha=\"0.06\", expect_size=\"17977344\"] \n  41 [size=\"45969408\", alpha=\"0.19\", expect_size=\"22984704\"] \n  41 -> 43 [size =\"22984704\"]\n  42 [size=\"86824960\", alpha=\"0.17\", expect_size=\"43412480\"] \n  42 -> 43 [size =\"43412480\"]\n  42 -> 44 [size =\"43412480\"]\n  43 [size=\"32841728\", alpha=\"0.14\", expect_size=\"16420864\"] \n  43 -> 45 [size =\"16420864\"]\n  43 -> 46 [size =\"16420864\"]\n  43 -> 47 [size =\"16420864\"]\n  44 [size=\"88604672\", alpha=\"0.14\", expect_size=\"44302336\"] \n  44 -> 45 [size =\"44302336\"]\n  44 -> 46 [size =\"44302336\"]\n  44 -> 47 [size =\"44302336\"]\n  45 [size=\"68890624\", alpha=\"0.20\", expect_size=\"34445312\"] \n  45 -> 48 [size =\"34445312\"]\n  45 -> 49 [size =\"34445312\"]\n  46 [size=\"14032896\", alpha=\"0.10\", expect_size=\"7016448\"] \n  46 -> 49 [size =\"7016448\"]\n  47 [size=\"20492288\", alpha=\"0.04\", expect_size=\"10246144\"] \n  47 -> 48 [size =\"10246144\"]\n  48 [size=\"35287040\", alpha=\"0.17\", expect_size=\"17643520\"] \n  49 [size=\"90349568\", alpha=\"0.17\", expect_size=\"45174784\"] \n  49 -> 50 [size =\"45174784\"]\n  50 [size=\"66289664\", alpha=\"0.04\", expect_size=\"33144832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.787.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21452800\", alpha=\"0.10\", expect_size=\"8581120\"] \n  1 -> 17 [size =\"8581120\"]\n  1 -> 23 [size =\"8581120\"]\n  1 -> 24 [size =\"8581120\"]\n  1 -> 25 [size =\"8581120\"]\n  1 -> 27 [size =\"8581120\"]\n  1 -> 29 [size =\"8581120\"]\n  1 -> 35 [size =\"8581120\"]\n  2 [size=\"61409280\", alpha=\"0.10\", expect_size=\"24563712\"] \n  2 -> 17 [size =\"24563712\"]\n  2 -> 19 [size =\"24563712\"]\n  2 -> 20 [size =\"24563712\"]\n  2 -> 27 [size =\"24563712\"]\n  2 -> 35 [size =\"24563712\"]\n  3 [size=\"131054080\", alpha=\"0.11\", expect_size=\"52421632\"] \n  3 -> 19 [size =\"52421632\"]\n  3 -> 20 [size =\"52421632\"]\n  3 -> 25 [size =\"52421632\"]\n  3 -> 31 [size =\"52421632\"]\n  3 -> 35 [size =\"52421632\"]\n  4 [size=\"83601920\", alpha=\"0.19\", expect_size=\"33440768\"] \n  4 -> 29 [size =\"33440768\"]\n  4 -> 33 [size =\"33440768\"]\n  5 [size=\"25873920\", alpha=\"0.04\", expect_size=\"10349568\"] \n  5 -> 17 [size =\"10349568\"]\n  5 -> 21 [size =\"10349568\"]\n  5 -> 28 [size =\"10349568\"]\n  5 -> 29 [size =\"10349568\"]\n  5 -> 33 [size =\"10349568\"]\n  6 [size=\"65576960\", alpha=\"0.10\", expect_size=\"26230784\"] \n  6 -> 17 [size =\"26230784\"]\n  6 -> 18 [size =\"26230784\"]\n  6 -> 30 [size =\"26230784\"]\n  6 -> 33 [size =\"26230784\"]\n  7 [size=\"32010240\", alpha=\"0.16\", expect_size=\"12804096\"] \n  7 -> 17 [size =\"12804096\"]\n  7 -> 19 [size =\"12804096\"]\n  7 -> 27 [size =\"12804096\"]\n  7 -> 28 [size =\"12804096\"]\n  7 -> 29 [size =\"12804096\"]\n  7 -> 33 [size =\"12804096\"]\n  8 [size=\"102696960\", alpha=\"0.08\", expect_size=\"41078784\"] \n  8 -> 19 [size =\"41078784\"]\n  8 -> 25 [size =\"41078784\"]\n  8 -> 33 [size =\"41078784\"]\n  8 -> 35 [size =\"41078784\"]\n  9 [size=\"126458880\", alpha=\"0.14\", expect_size=\"50583552\"] \n  9 -> 17 [size =\"50583552\"]\n  9 -> 22 [size =\"50583552\"]\n  9 -> 28 [size =\"50583552\"]\n  9 -> 32 [size =\"50583552\"]\n  9 -> 33 [size =\"50583552\"]\n  10 [size=\"69509120\", alpha=\"0.15\", expect_size=\"27803648\"] \n  10 -> 16 [size =\"27803648\"]\n  10 -> 18 [size =\"27803648\"]\n  10 -> 19 [size =\"27803648\"]\n  11 [size=\"104084480\", alpha=\"0.19\", expect_size=\"41633792\"] \n  11 -> 18 [size =\"41633792\"]\n  11 -> 19 [size =\"41633792\"]\n  11 -> 20 [size =\"41633792\"]\n  11 -> 23 [size =\"41633792\"]\n  11 -> 26 [size =\"41633792\"]\n  12 [size=\"45818880\", alpha=\"0.12\", expect_size=\"18327552\"] \n  12 -> 20 [size =\"18327552\"]\n  12 -> 21 [size =\"18327552\"]\n  12 -> 24 [size =\"18327552\"]\n  12 -> 29 [size =\"18327552\"]\n  12 -> 33 [size =\"18327552\"]\n  12 -> 35 [size =\"18327552\"]\n  13 [size=\"105397760\", alpha=\"0.14\", expect_size=\"42159104\"] \n  13 -> 16 [size =\"42159104\"]\n  13 -> 19 [size =\"42159104\"]\n  13 -> 20 [size =\"42159104\"]\n  13 -> 21 [size =\"42159104\"]\n  13 -> 29 [size =\"42159104\"]\n  13 -> 33 [size =\"42159104\"]\n  13 -> 35 [size =\"42159104\"]\n  14 [size=\"50206720\", alpha=\"0.19\", expect_size=\"20082688\"] \n  14 -> 17 [size =\"20082688\"]\n  14 -> 19 [size =\"20082688\"]\n  14 -> 20 [size =\"20082688\"]\n  14 -> 22 [size =\"20082688\"]\n  14 -> 25 [size =\"20082688\"]\n  14 -> 28 [size =\"20082688\"]\n  14 -> 32 [size =\"20082688\"]\n  14 -> 33 [size =\"20082688\"]\n  14 -> 35 [size =\"20082688\"]\n  15 [size=\"45109760\", alpha=\"0.12\", expect_size=\"18043904\"] \n  15 -> 17 [size =\"18043904\"]\n  15 -> 18 [size =\"18043904\"]\n  15 -> 19 [size =\"18043904\"]\n  15 -> 21 [size =\"18043904\"]\n  15 -> 25 [size =\"18043904\"]\n  15 -> 27 [size =\"18043904\"]\n  15 -> 34 [size =\"18043904\"]\n  15 -> 35 [size =\"18043904\"]\n  16 [size=\"70126080\", alpha=\"0.09\", expect_size=\"28050432\"] \n  16 -> 36 [size =\"28050432\"]\n  17 [size=\"130040320\", alpha=\"0.05\", expect_size=\"52016128\"] \n  17 -> 36 [size =\"52016128\"]\n  17 -> 39 [size =\"52016128\"]\n  18 [size=\"106416640\", alpha=\"0.13\", expect_size=\"42566656\"] \n  18 -> 36 [size =\"42566656\"]\n  18 -> 37 [size =\"42566656\"]\n  18 -> 41 [size =\"42566656\"]\n  19 [size=\"38561280\", alpha=\"0.13\", expect_size=\"15424512\"] \n  19 -> 37 [size =\"15424512\"]\n  19 -> 39 [size =\"15424512\"]\n  19 -> 40 [size =\"15424512\"]\n  19 -> 41 [size =\"15424512\"]\n  20 [size=\"123875840\", alpha=\"0.10\", expect_size=\"49550336\"] \n  20 -> 36 [size =\"49550336\"]\n  20 -> 39 [size =\"49550336\"]\n  20 -> 40 [size =\"49550336\"]\n  21 [size=\"97064960\", alpha=\"0.08\", expect_size=\"38825984\"] \n  21 -> 36 [size =\"38825984\"]\n  21 -> 39 [size =\"38825984\"]\n  21 -> 40 [size =\"38825984\"]\n  22 [size=\"92584960\", alpha=\"0.14\", expect_size=\"37033984\"] \n  22 -> 38 [size =\"37033984\"]\n  22 -> 39 [size =\"37033984\"]\n  22 -> 40 [size =\"37033984\"]\n  23 [size=\"45002240\", alpha=\"0.00\", expect_size=\"18000896\"] \n  23 -> 37 [size =\"18000896\"]\n  23 -> 39 [size =\"18000896\"]\n  23 -> 40 [size =\"18000896\"]\n  23 -> 41 [size =\"18000896\"]\n  24 [size=\"125862400\", alpha=\"0.18\", expect_size=\"50344960\"] \n  24 -> 42 [size =\"50344960\"]\n  25 [size=\"121597440\", alpha=\"0.19\", expect_size=\"48638976\"] \n  25 -> 38 [size =\"48638976\"]\n  25 -> 41 [size =\"48638976\"]\n  25 -> 43 [size =\"48638976\"]\n  26 [size=\"72317440\", alpha=\"0.08\", expect_size=\"28926976\"] \n  27 [size=\"127165440\", alpha=\"0.01\", expect_size=\"50866176\"] \n  27 -> 38 [size =\"50866176\"]\n  28 [size=\"38650880\", alpha=\"0.08\", expect_size=\"15460352\"] \n  28 -> 37 [size =\"15460352\"]\n  28 -> 39 [size =\"15460352\"]\n  28 -> 41 [size =\"15460352\"]\n  28 -> 43 [size =\"15460352\"]\n  29 [size=\"116628480\", alpha=\"0.15\", expect_size=\"46651392\"] \n  29 -> 37 [size =\"46651392\"]\n  29 -> 41 [size =\"46651392\"]\n  30 [size=\"75197440\", alpha=\"0.12\", expect_size=\"30078976\"] \n  30 -> 37 [size =\"30078976\"]\n  30 -> 38 [size =\"30078976\"]\n  30 -> 40 [size =\"30078976\"]\n  30 -> 41 [size =\"30078976\"]\n  31 [size=\"14044160\", alpha=\"0.03\", expect_size=\"5617664\"] \n  31 -> 38 [size =\"5617664\"]\n  31 -> 42 [size =\"5617664\"]\n  32 [size=\"59484160\", alpha=\"0.01\", expect_size=\"23793664\"] \n  33 [size=\"23889920\", alpha=\"0.14\", expect_size=\"9555968\"] \n  33 -> 37 [size =\"9555968\"]\n  33 -> 38 [size =\"9555968\"]\n  34 [size=\"25208320\", alpha=\"0.13\", expect_size=\"10083328\"] \n  34 -> 38 [size =\"10083328\"]\n  34 -> 39 [size =\"10083328\"]\n  35 [size=\"15976960\", alpha=\"0.18\", expect_size=\"6390784\"] \n  36 [size=\"126924800\", alpha=\"0.12\", expect_size=\"50769920\"] \n  36 -> 45 [size =\"50769920\"]\n  36 -> 48 [size =\"50769920\"]\n  36 -> 49 [size =\"50769920\"]\n  37 [size=\"56629760\", alpha=\"0.07\", expect_size=\"22651904\"] \n  37 -> 48 [size =\"22651904\"]\n  37 -> 50 [size =\"22651904\"]\n  38 [size=\"59924480\", alpha=\"0.17\", expect_size=\"23969792\"] \n  38 -> 45 [size =\"23969792\"]\n  38 -> 48 [size =\"23969792\"]\n  38 -> 50 [size =\"23969792\"]\n  39 [size=\"108436480\", alpha=\"0.11\", expect_size=\"43374592\"] \n  39 -> 44 [size =\"43374592\"]\n  39 -> 45 [size =\"43374592\"]\n  39 -> 47 [size =\"43374592\"]\n  39 -> 49 [size =\"43374592\"]\n  40 [size=\"79590400\", alpha=\"0.04\", expect_size=\"31836160\"] \n  40 -> 45 [size =\"31836160\"]\n  41 [size=\"29788160\", alpha=\"0.12\", expect_size=\"11915264\"] \n  41 -> 44 [size =\"11915264\"]\n  41 -> 49 [size =\"11915264\"]\n  42 [size=\"50007040\", alpha=\"0.13\", expect_size=\"20002816\"] \n  42 -> 46 [size =\"20002816\"]\n  42 -> 48 [size =\"20002816\"]\n  42 -> 49 [size =\"20002816\"]\n  42 -> 50 [size =\"20002816\"]\n  43 [size=\"54996480\", alpha=\"0.19\", expect_size=\"21998592\"] \n  43 -> 48 [size =\"21998592\"]\n  43 -> 49 [size =\"21998592\"]\n  43 -> 50 [size =\"21998592\"]\n  44 [size=\"19082240\", alpha=\"0.05\", expect_size=\"7632896\"] \n  45 [size=\"97331200\", alpha=\"0.08\", expect_size=\"38932480\"] \n  46 [size=\"85818880\", alpha=\"0.02\", expect_size=\"34327552\"] \n  47 [size=\"41564160\", alpha=\"0.15\", expect_size=\"16625664\"] \n  48 [size=\"81500160\", alpha=\"0.13\", expect_size=\"32600064\"] \n  49 [size=\"63011840\", alpha=\"0.08\", expect_size=\"25204736\"] \n  50 [size=\"129512960\", alpha=\"0.14\", expect_size=\"51805184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.788.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164959573\", alpha=\"0.15\", expect_size=\"49487872\"] \n  1 -> 18 [size =\"49487872\"]\n  1 -> 23 [size =\"49487872\"]\n  1 -> 29 [size =\"49487872\"]\n  2 [size=\"174458880\", alpha=\"0.03\", expect_size=\"52337664\"] \n  2 -> 29 [size =\"52337664\"]\n  3 [size=\"98788693\", alpha=\"0.17\", expect_size=\"29636608\"] \n  3 -> 18 [size =\"29636608\"]\n  3 -> 21 [size =\"29636608\"]\n  3 -> 27 [size =\"29636608\"]\n  3 -> 28 [size =\"29636608\"]\n  3 -> 29 [size =\"29636608\"]\n  4 [size=\"127402667\", alpha=\"0.17\", expect_size=\"38220800\"] \n  4 -> 21 [size =\"38220800\"]\n  4 -> 24 [size =\"38220800\"]\n  4 -> 26 [size =\"38220800\"]\n  5 [size=\"169837227\", alpha=\"0.02\", expect_size=\"50951168\"] \n  5 -> 20 [size =\"50951168\"]\n  5 -> 27 [size =\"50951168\"]\n  5 -> 28 [size =\"50951168\"]\n  6 [size=\"137823573\", alpha=\"0.12\", expect_size=\"41347072\"] \n  6 -> 21 [size =\"41347072\"]\n  6 -> 26 [size =\"41347072\"]\n  6 -> 28 [size =\"41347072\"]\n  6 -> 29 [size =\"41347072\"]\n  7 [size=\"105847467\", alpha=\"0.05\", expect_size=\"31754240\"] \n  7 -> 18 [size =\"31754240\"]\n  7 -> 23 [size =\"31754240\"]\n  7 -> 24 [size =\"31754240\"]\n  8 [size=\"129665707\", alpha=\"0.16\", expect_size=\"38899712\"] \n  8 -> 22 [size =\"38899712\"]\n  8 -> 26 [size =\"38899712\"]\n  9 [size=\"39536640\", alpha=\"0.19\", expect_size=\"11860992\"] \n  9 -> 21 [size =\"11860992\"]\n  9 -> 22 [size =\"11860992\"]\n  10 [size=\"154811733\", alpha=\"0.02\", expect_size=\"46443520\"] \n  10 -> 21 [size =\"46443520\"]\n  10 -> 26 [size =\"46443520\"]\n  10 -> 27 [size =\"46443520\"]\n  10 -> 28 [size =\"46443520\"]\n  11 [size=\"65488213\", alpha=\"0.05\", expect_size=\"19646464\"] \n  11 -> 19 [size =\"19646464\"]\n  11 -> 23 [size =\"19646464\"]\n  11 -> 25 [size =\"19646464\"]\n  11 -> 29 [size =\"19646464\"]\n  12 [size=\"22510933\", alpha=\"0.10\", expect_size=\"6753280\"] \n  12 -> 19 [size =\"6753280\"]\n  12 -> 27 [size =\"6753280\"]\n  12 -> 29 [size =\"6753280\"]\n  13 [size=\"49708373\", alpha=\"0.18\", expect_size=\"14912512\"] \n  13 -> 18 [size =\"14912512\"]\n  13 -> 21 [size =\"14912512\"]\n  13 -> 24 [size =\"14912512\"]\n  13 -> 25 [size =\"14912512\"]\n  13 -> 29 [size =\"14912512\"]\n  14 [size=\"23459840\", alpha=\"0.03\", expect_size=\"7037952\"] \n  14 -> 18 [size =\"7037952\"]\n  14 -> 21 [size =\"7037952\"]\n  14 -> 29 [size =\"7037952\"]\n  15 [size=\"160976213\", alpha=\"0.16\", expect_size=\"48292864\"] \n  15 -> 19 [size =\"48292864\"]\n  15 -> 25 [size =\"48292864\"]\n  15 -> 27 [size =\"48292864\"]\n  15 -> 29 [size =\"48292864\"]\n  16 [size=\"18899627\", alpha=\"0.17\", expect_size=\"5669888\"] \n  16 -> 24 [size =\"5669888\"]\n  16 -> 26 [size =\"5669888\"]\n  16 -> 29 [size =\"5669888\"]\n  17 [size=\"115548160\", alpha=\"0.17\", expect_size=\"34664448\"] \n  17 -> 26 [size =\"34664448\"]\n  17 -> 29 [size =\"34664448\"]\n  18 [size=\"155972267\", alpha=\"0.04\", expect_size=\"46791680\"] \n  18 -> 33 [size =\"46791680\"]\n  18 -> 35 [size =\"46791680\"]\n  18 -> 37 [size =\"46791680\"]\n  18 -> 38 [size =\"46791680\"]\n  18 -> 39 [size =\"46791680\"]\n  19 [size=\"126679040\", alpha=\"0.16\", expect_size=\"38003712\"] \n  19 -> 31 [size =\"38003712\"]\n  19 -> 33 [size =\"38003712\"]\n  20 [size=\"119309653\", alpha=\"0.12\", expect_size=\"35792896\"] \n  20 -> 31 [size =\"35792896\"]\n  20 -> 36 [size =\"35792896\"]\n  21 [size=\"136256853\", alpha=\"0.06\", expect_size=\"40877056\"] \n  21 -> 32 [size =\"40877056\"]\n  21 -> 39 [size =\"40877056\"]\n  22 [size=\"173765973\", alpha=\"0.00\", expect_size=\"52129792\"] \n  22 -> 30 [size =\"52129792\"]\n  22 -> 31 [size =\"52129792\"]\n  22 -> 35 [size =\"52129792\"]\n  23 [size=\"92573013\", alpha=\"0.05\", expect_size=\"27771904\"] \n  23 -> 30 [size =\"27771904\"]\n  23 -> 34 [size =\"27771904\"]\n  23 -> 35 [size =\"27771904\"]\n  23 -> 36 [size =\"27771904\"]\n  23 -> 40 [size =\"27771904\"]\n  24 [size=\"76219733\", alpha=\"0.04\", expect_size=\"22865920\"] \n  24 -> 31 [size =\"22865920\"]\n  24 -> 34 [size =\"22865920\"]\n  24 -> 37 [size =\"22865920\"]\n  25 [size=\"100939093\", alpha=\"0.02\", expect_size=\"30281728\"] \n  25 -> 31 [size =\"30281728\"]\n  25 -> 34 [size =\"30281728\"]\n  26 [size=\"70021120\", alpha=\"0.15\", expect_size=\"21006336\"] \n  26 -> 31 [size =\"21006336\"]\n  26 -> 34 [size =\"21006336\"]\n  26 -> 35 [size =\"21006336\"]\n  27 [size=\"43267413\", alpha=\"0.20\", expect_size=\"12980224\"] \n  27 -> 30 [size =\"12980224\"]\n  27 -> 33 [size =\"12980224\"]\n  27 -> 34 [size =\"12980224\"]\n  27 -> 36 [size =\"12980224\"]\n  27 -> 37 [size =\"12980224\"]\n  27 -> 38 [size =\"12980224\"]\n  27 -> 39 [size =\"12980224\"]\n  28 [size=\"20551680\", alpha=\"0.19\", expect_size=\"6165504\"] \n  28 -> 30 [size =\"6165504\"]\n  28 -> 32 [size =\"6165504\"]\n  28 -> 33 [size =\"6165504\"]\n  28 -> 34 [size =\"6165504\"]\n  28 -> 35 [size =\"6165504\"]\n  28 -> 39 [size =\"6165504\"]\n  29 [size=\"49595733\", alpha=\"0.00\", expect_size=\"14878720\"] \n  29 -> 30 [size =\"14878720\"]\n  29 -> 35 [size =\"14878720\"]\n  29 -> 38 [size =\"14878720\"]\n  29 -> 40 [size =\"14878720\"]\n  30 [size=\"17766400\", alpha=\"0.20\", expect_size=\"5329920\"] \n  30 -> 42 [size =\"5329920\"]\n  30 -> 43 [size =\"5329920\"]\n  30 -> 46 [size =\"5329920\"]\n  30 -> 48 [size =\"5329920\"]\n  31 [size=\"109141333\", alpha=\"0.05\", expect_size=\"32742400\"] \n  31 -> 41 [size =\"32742400\"]\n  31 -> 42 [size =\"32742400\"]\n  31 -> 48 [size =\"32742400\"]\n  31 -> 49 [size =\"32742400\"]\n  32 [size=\"156631040\", alpha=\"0.11\", expect_size=\"46989312\"] \n  32 -> 41 [size =\"46989312\"]\n  32 -> 42 [size =\"46989312\"]\n  32 -> 46 [size =\"46989312\"]\n  32 -> 47 [size =\"46989312\"]\n  33 [size=\"159935147\", alpha=\"0.01\", expect_size=\"47980544\"] \n  33 -> 43 [size =\"47980544\"]\n  33 -> 44 [size =\"47980544\"]\n  33 -> 46 [size =\"47980544\"]\n  33 -> 48 [size =\"47980544\"]\n  34 [size=\"43076267\", alpha=\"0.12\", expect_size=\"12922880\"] \n  34 -> 43 [size =\"12922880\"]\n  34 -> 47 [size =\"12922880\"]\n  35 [size=\"73274027\", alpha=\"0.01\", expect_size=\"21982208\"] \n  35 -> 42 [size =\"21982208\"]\n  35 -> 43 [size =\"21982208\"]\n  35 -> 44 [size =\"21982208\"]\n  35 -> 50 [size =\"21982208\"]\n  36 [size=\"88316587\", alpha=\"0.10\", expect_size=\"26494976\"] \n  36 -> 42 [size =\"26494976\"]\n  36 -> 43 [size =\"26494976\"]\n  36 -> 44 [size =\"26494976\"]\n  36 -> 45 [size =\"26494976\"]\n  37 [size=\"51261440\", alpha=\"0.11\", expect_size=\"15378432\"] \n  38 [size=\"50483200\", alpha=\"0.11\", expect_size=\"15144960\"] \n  38 -> 41 [size =\"15144960\"]\n  38 -> 42 [size =\"15144960\"]\n  38 -> 45 [size =\"15144960\"]\n  38 -> 47 [size =\"15144960\"]\n  38 -> 48 [size =\"15144960\"]\n  39 [size=\"40888320\", alpha=\"0.04\", expect_size=\"12266496\"] \n  39 -> 41 [size =\"12266496\"]\n  39 -> 42 [size =\"12266496\"]\n  39 -> 43 [size =\"12266496\"]\n  39 -> 47 [size =\"12266496\"]\n  39 -> 48 [size =\"12266496\"]\n  40 [size=\"44533760\", alpha=\"0.10\", expect_size=\"13360128\"] \n  40 -> 41 [size =\"13360128\"]\n  40 -> 43 [size =\"13360128\"]\n  40 -> 47 [size =\"13360128\"]\n  40 -> 47 [size =\"13360128\"]\n  41 [size=\"41472000\", alpha=\"0.11\", expect_size=\"12441600\"] \n  42 [size=\"79714987\", alpha=\"0.12\", expect_size=\"23914496\"] \n  43 [size=\"164304213\", alpha=\"0.03\", expect_size=\"49291264\"] \n  44 [size=\"170181973\", alpha=\"0.01\", expect_size=\"51054592\"] \n  45 [size=\"103335253\", alpha=\"0.10\", expect_size=\"31000576\"] \n  46 [size=\"107267413\", alpha=\"0.05\", expect_size=\"32180224\"] \n  47 [size=\"26118827\", alpha=\"0.04\", expect_size=\"7835648\"] \n  48 [size=\"115247787\", alpha=\"0.03\", expect_size=\"34574336\"] \n  49 [size=\"41294507\", alpha=\"0.06\", expect_size=\"12388352\"] \n  50 [size=\"70748160\", alpha=\"0.09\", expect_size=\"21224448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.789.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65916928\", alpha=\"0.07\", expect_size=\"32958464\"] \n  1 -> 11 [size =\"32958464\"]\n  1 -> 12 [size =\"32958464\"]\n  1 -> 15 [size =\"32958464\"]\n  1 -> 16 [size =\"32958464\"]\n  2 [size=\"13793280\", alpha=\"0.03\", expect_size=\"6896640\"] \n  2 -> 11 [size =\"6896640\"]\n  2 -> 15 [size =\"6896640\"]\n  2 -> 16 [size =\"6896640\"]\n  3 [size=\"38936576\", alpha=\"0.16\", expect_size=\"19468288\"] \n  3 -> 14 [size =\"19468288\"]\n  3 -> 15 [size =\"19468288\"]\n  4 [size=\"88891392\", alpha=\"0.20\", expect_size=\"44445696\"] \n  4 -> 11 [size =\"44445696\"]\n  4 -> 13 [size =\"44445696\"]\n  4 -> 15 [size =\"44445696\"]\n  5 [size=\"18749440\", alpha=\"0.04\", expect_size=\"9374720\"] \n  5 -> 11 [size =\"9374720\"]\n  5 -> 12 [size =\"9374720\"]\n  5 -> 13 [size =\"9374720\"]\n  6 [size=\"101648384\", alpha=\"0.04\", expect_size=\"50824192\"] \n  6 -> 12 [size =\"50824192\"]\n  6 -> 15 [size =\"50824192\"]\n  6 -> 16 [size =\"50824192\"]\n  7 [size=\"73723904\", alpha=\"0.04\", expect_size=\"36861952\"] \n  7 -> 11 [size =\"36861952\"]\n  7 -> 12 [size =\"36861952\"]\n  7 -> 13 [size =\"36861952\"]\n  7 -> 14 [size =\"36861952\"]\n  7 -> 15 [size =\"36861952\"]\n  7 -> 16 [size =\"36861952\"]\n  8 [size=\"88158208\", alpha=\"0.04\", expect_size=\"44079104\"] \n  8 -> 11 [size =\"44079104\"]\n  8 -> 12 [size =\"44079104\"]\n  8 -> 14 [size =\"44079104\"]\n  8 -> 15 [size =\"44079104\"]\n  8 -> 15 [size =\"44079104\"]\n  8 -> 16 [size =\"44079104\"]\n  9 [size=\"83343360\", alpha=\"0.19\", expect_size=\"41671680\"] \n  9 -> 13 [size =\"41671680\"]\n  9 -> 15 [size =\"41671680\"]\n  9 -> 16 [size =\"41671680\"]\n  10 [size=\"42899456\", alpha=\"0.10\", expect_size=\"21449728\"] \n  10 -> 14 [size =\"21449728\"]\n  11 [size=\"85143552\", alpha=\"0.07\", expect_size=\"42571776\"] \n  11 -> 18 [size =\"42571776\"]\n  11 -> 18 [size =\"42571776\"]\n  11 -> 20 [size =\"42571776\"]\n  11 -> 21 [size =\"42571776\"]\n  11 -> 22 [size =\"42571776\"]\n  11 -> 23 [size =\"42571776\"]\n  12 [size=\"22927360\", alpha=\"0.12\", expect_size=\"11463680\"] \n  12 -> 18 [size =\"11463680\"]\n  12 -> 21 [size =\"11463680\"]\n  12 -> 23 [size =\"11463680\"]\n  13 [size=\"35553280\", alpha=\"0.07\", expect_size=\"17776640\"] \n  13 -> 20 [size =\"17776640\"]\n  13 -> 21 [size =\"17776640\"]\n  13 -> 24 [size =\"17776640\"]\n  14 [size=\"15843328\", alpha=\"0.10\", expect_size=\"7921664\"] \n  14 -> 19 [size =\"7921664\"]\n  14 -> 21 [size =\"7921664\"]\n  15 [size=\"13965312\", alpha=\"0.04\", expect_size=\"6982656\"] \n  15 -> 18 [size =\"6982656\"]\n  15 -> 19 [size =\"6982656\"]\n  15 -> 20 [size =\"6982656\"]\n  15 -> 22 [size =\"6982656\"]\n  16 [size=\"34652160\", alpha=\"0.19\", expect_size=\"17326080\"] \n  16 -> 17 [size =\"17326080\"]\n  16 -> 18 [size =\"17326080\"]\n  16 -> 20 [size =\"17326080\"]\n  16 -> 22 [size =\"17326080\"]\n  16 -> 23 [size =\"17326080\"]\n  17 [size=\"54622208\", alpha=\"0.14\", expect_size=\"27311104\"] \n  17 -> 25 [size =\"27311104\"]\n  17 -> 27 [size =\"27311104\"]\n  18 [size=\"73410560\", alpha=\"0.18\", expect_size=\"36705280\"] \n  18 -> 25 [size =\"36705280\"]\n  18 -> 27 [size =\"36705280\"]\n  18 -> 29 [size =\"36705280\"]\n  18 -> 30 [size =\"36705280\"]\n  18 -> 31 [size =\"36705280\"]\n  19 [size=\"90226688\", alpha=\"0.13\", expect_size=\"45113344\"] \n  19 -> 25 [size =\"45113344\"]\n  19 -> 29 [size =\"45113344\"]\n  19 -> 30 [size =\"45113344\"]\n  19 -> 30 [size =\"45113344\"]\n  19 -> 31 [size =\"45113344\"]\n  20 [size=\"84232192\", alpha=\"0.04\", expect_size=\"42116096\"] \n  20 -> 25 [size =\"42116096\"]\n  20 -> 26 [size =\"42116096\"]\n  20 -> 27 [size =\"42116096\"]\n  20 -> 29 [size =\"42116096\"]\n  20 -> 30 [size =\"42116096\"]\n  20 -> 31 [size =\"42116096\"]\n  21 [size=\"37705728\", alpha=\"0.06\", expect_size=\"18852864\"] \n  21 -> 27 [size =\"18852864\"]\n  21 -> 29 [size =\"18852864\"]\n  21 -> 30 [size =\"18852864\"]\n  21 -> 31 [size =\"18852864\"]\n  22 [size=\"71782400\", alpha=\"0.09\", expect_size=\"35891200\"] \n  22 -> 25 [size =\"35891200\"]\n  22 -> 28 [size =\"35891200\"]\n  22 -> 29 [size =\"35891200\"]\n  22 -> 30 [size =\"35891200\"]\n  22 -> 31 [size =\"35891200\"]\n  23 [size=\"33523712\", alpha=\"0.19\", expect_size=\"16761856\"] \n  23 -> 25 [size =\"16761856\"]\n  23 -> 27 [size =\"16761856\"]\n  23 -> 28 [size =\"16761856\"]\n  23 -> 29 [size =\"16761856\"]\n  23 -> 31 [size =\"16761856\"]\n  24 [size=\"65236992\", alpha=\"0.04\", expect_size=\"32618496\"] \n  24 -> 25 [size =\"32618496\"]\n  24 -> 27 [size =\"32618496\"]\n  24 -> 30 [size =\"32618496\"]\n  24 -> 31 [size =\"32618496\"]\n  25 [size=\"18765824\", alpha=\"0.12\", expect_size=\"9382912\"] \n  25 -> 32 [size =\"9382912\"]\n  25 -> 33 [size =\"9382912\"]\n  25 -> 38 [size =\"9382912\"]\n  25 -> 38 [size =\"9382912\"]\n  26 [size=\"35287040\", alpha=\"0.19\", expect_size=\"17643520\"] \n  26 -> 32 [size =\"17643520\"]\n  26 -> 38 [size =\"17643520\"]\n  27 [size=\"29507584\", alpha=\"0.19\", expect_size=\"14753792\"] \n  27 -> 34 [size =\"14753792\"]\n  27 -> 35 [size =\"14753792\"]\n  27 -> 39 [size =\"14753792\"]\n  28 [size=\"93933568\", alpha=\"0.16\", expect_size=\"46966784\"] \n  28 -> 37 [size =\"46966784\"]\n  29 [size=\"86196224\", alpha=\"0.08\", expect_size=\"43098112\"] \n  29 -> 34 [size =\"43098112\"]\n  29 -> 38 [size =\"43098112\"]\n  29 -> 40 [size =\"43098112\"]\n  30 [size=\"53094400\", alpha=\"0.07\", expect_size=\"26547200\"] \n  30 -> 34 [size =\"26547200\"]\n  30 -> 36 [size =\"26547200\"]\n  30 -> 37 [size =\"26547200\"]\n  30 -> 38 [size =\"26547200\"]\n  31 [size=\"70598656\", alpha=\"0.02\", expect_size=\"35299328\"] \n  31 -> 32 [size =\"35299328\"]\n  31 -> 34 [size =\"35299328\"]\n  31 -> 36 [size =\"35299328\"]\n  31 -> 38 [size =\"35299328\"]\n  32 [size=\"99772416\", alpha=\"0.20\", expect_size=\"49886208\"] \n  32 -> 41 [size =\"49886208\"]\n  32 -> 42 [size =\"49886208\"]\n  32 -> 43 [size =\"49886208\"]\n  32 -> 44 [size =\"49886208\"]\n  32 -> 46 [size =\"49886208\"]\n  33 [size=\"49549312\", alpha=\"0.02\", expect_size=\"24774656\"] \n  33 -> 41 [size =\"24774656\"]\n  33 -> 42 [size =\"24774656\"]\n  33 -> 44 [size =\"24774656\"]\n  33 -> 44 [size =\"24774656\"]\n  33 -> 45 [size =\"24774656\"]\n  34 [size=\"42756096\", alpha=\"0.06\", expect_size=\"21378048\"] \n  34 -> 41 [size =\"21378048\"]\n  34 -> 44 [size =\"21378048\"]\n  35 [size=\"63426560\", alpha=\"0.11\", expect_size=\"31713280\"] \n  35 -> 41 [size =\"31713280\"]\n  35 -> 42 [size =\"31713280\"]\n  35 -> 44 [size =\"31713280\"]\n  36 [size=\"25456640\", alpha=\"0.01\", expect_size=\"12728320\"] \n  36 -> 41 [size =\"12728320\"]\n  36 -> 42 [size =\"12728320\"]\n  36 -> 43 [size =\"12728320\"]\n  36 -> 44 [size =\"12728320\"]\n  36 -> 45 [size =\"12728320\"]\n  36 -> 47 [size =\"12728320\"]\n  37 [size=\"20006912\", alpha=\"0.00\", expect_size=\"10003456\"] \n  37 -> 41 [size =\"10003456\"]\n  37 -> 42 [size =\"10003456\"]\n  37 -> 43 [size =\"10003456\"]\n  38 [size=\"15945728\", alpha=\"0.13\", expect_size=\"7972864\"] \n  38 -> 41 [size =\"7972864\"]\n  38 -> 43 [size =\"7972864\"]\n  38 -> 43 [size =\"7972864\"]\n  39 [size=\"90947584\", alpha=\"0.02\", expect_size=\"45473792\"] \n  39 -> 41 [size =\"45473792\"]\n  39 -> 42 [size =\"45473792\"]\n  39 -> 43 [size =\"45473792\"]\n  39 -> 44 [size =\"45473792\"]\n  40 [size=\"34756608\", alpha=\"0.07\", expect_size=\"17378304\"] \n  40 -> 42 [size =\"17378304\"]\n  40 -> 43 [size =\"17378304\"]\n  40 -> 43 [size =\"17378304\"]\n  40 -> 44 [size =\"17378304\"]\n  40 -> 45 [size =\"17378304\"]\n  41 [size=\"68528128\", alpha=\"0.18\", expect_size=\"34264064\"] \n  41 -> 49 [size =\"34264064\"]\n  42 [size=\"78180352\", alpha=\"0.02\", expect_size=\"39090176\"] \n  42 -> 48 [size =\"39090176\"]\n  42 -> 49 [size =\"39090176\"]\n  42 -> 50 [size =\"39090176\"]\n  43 [size=\"76150784\", alpha=\"0.10\", expect_size=\"38075392\"] \n  43 -> 50 [size =\"38075392\"]\n  44 [size=\"87513088\", alpha=\"0.11\", expect_size=\"43756544\"] \n  44 -> 49 [size =\"43756544\"]\n  44 -> 50 [size =\"43756544\"]\n  45 [size=\"23250944\", alpha=\"0.13\", expect_size=\"11625472\"] \n  45 -> 49 [size =\"11625472\"]\n  45 -> 50 [size =\"11625472\"]\n  46 [size=\"75589632\", alpha=\"0.00\", expect_size=\"37794816\"] \n  47 [size=\"79951872\", alpha=\"0.11\", expect_size=\"39975936\"] \n  47 -> 48 [size =\"39975936\"]\n  48 [size=\"80476160\", alpha=\"0.00\", expect_size=\"40238080\"] \n  49 [size=\"45717504\", alpha=\"0.06\", expect_size=\"22858752\"] \n  50 [size=\"55416832\", alpha=\"0.20\", expect_size=\"27708416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81199104\", alpha=\"0.12\", expect_size=\"40599552\"] \n  1 -> 13 [size =\"40599552\"]\n  2 [size=\"41799680\", alpha=\"0.11\", expect_size=\"20899840\"] \n  3 [size=\"73359360\", alpha=\"0.13\", expect_size=\"36679680\"] \n  3 -> 8 [size =\"36679680\"]\n  4 [size=\"94013440\", alpha=\"0.15\", expect_size=\"47006720\"] \n  4 -> 9 [size =\"47006720\"]\n  4 -> 10 [size =\"47006720\"]\n  5 [size=\"55422976\", alpha=\"0.04\", expect_size=\"27711488\"] \n  5 -> 8 [size =\"27711488\"]\n  5 -> 9 [size =\"27711488\"]\n  6 [size=\"43028480\", alpha=\"0.02\", expect_size=\"21514240\"] \n  6 -> 11 [size =\"21514240\"]\n  6 -> 12 [size =\"21514240\"]\n  7 [size=\"30216192\", alpha=\"0.08\", expect_size=\"15108096\"] \n  7 -> 12 [size =\"15108096\"]\n  8 [size=\"76691456\", alpha=\"0.18\", expect_size=\"38345728\"] \n  8 -> 16 [size =\"38345728\"]\n  8 -> 17 [size =\"38345728\"]\n  9 [size=\"23980032\", alpha=\"0.10\", expect_size=\"11990016\"] \n  9 -> 18 [size =\"11990016\"]\n  9 -> 19 [size =\"11990016\"]\n  10 [size=\"42661888\", alpha=\"0.14\", expect_size=\"21330944\"] \n  10 -> 17 [size =\"21330944\"]\n  11 [size=\"66228224\", alpha=\"0.15\", expect_size=\"33114112\"] \n  11 -> 14 [size =\"33114112\"]\n  11 -> 16 [size =\"33114112\"]\n  12 [size=\"30361600\", alpha=\"0.19\", expect_size=\"15180800\"] \n  12 -> 14 [size =\"15180800\"]\n  12 -> 15 [size =\"15180800\"]\n  12 -> 18 [size =\"15180800\"]\n  13 [size=\"80795648\", alpha=\"0.20\", expect_size=\"40397824\"] \n  13 -> 14 [size =\"40397824\"]\n  13 -> 16 [size =\"40397824\"]\n  14 [size=\"47650816\", alpha=\"0.07\", expect_size=\"23825408\"] \n  14 -> 22 [size =\"23825408\"]\n  14 -> 23 [size =\"23825408\"]\n  15 [size=\"23156736\", alpha=\"0.02\", expect_size=\"11578368\"] \n  16 [size=\"40468480\", alpha=\"0.02\", expect_size=\"20234240\"] \n  16 -> 21 [size =\"20234240\"]\n  16 -> 22 [size =\"20234240\"]\n  16 -> 24 [size =\"20234240\"]\n  16 -> 25 [size =\"20234240\"]\n  16 -> 26 [size =\"20234240\"]\n  17 [size=\"49618944\", alpha=\"0.15\", expect_size=\"24809472\"] \n  17 -> 20 [size =\"24809472\"]\n  17 -> 24 [size =\"24809472\"]\n  18 [size=\"85544960\", alpha=\"0.02\", expect_size=\"42772480\"] \n  18 -> 20 [size =\"42772480\"]\n  18 -> 25 [size =\"42772480\"]\n  18 -> 26 [size =\"42772480\"]\n  19 [size=\"77748224\", alpha=\"0.16\", expect_size=\"38874112\"] \n  19 -> 20 [size =\"38874112\"]\n  19 -> 21 [size =\"38874112\"]\n  20 [size=\"30326784\", alpha=\"0.16\", expect_size=\"15163392\"] \n  20 -> 28 [size =\"15163392\"]\n  20 -> 29 [size =\"15163392\"]\n  21 [size=\"94111744\", alpha=\"0.10\", expect_size=\"47055872\"] \n  21 -> 28 [size =\"47055872\"]\n  21 -> 30 [size =\"47055872\"]\n  22 [size=\"68323328\", alpha=\"0.11\", expect_size=\"34161664\"] \n  22 -> 29 [size =\"34161664\"]\n  23 [size=\"63637504\", alpha=\"0.06\", expect_size=\"31818752\"] \n  23 -> 27 [size =\"31818752\"]\n  23 -> 31 [size =\"31818752\"]\n  23 -> 32 [size =\"31818752\"]\n  24 [size=\"63582208\", alpha=\"0.18\", expect_size=\"31791104\"] \n  24 -> 29 [size =\"31791104\"]\n  25 [size=\"97208320\", alpha=\"0.20\", expect_size=\"48604160\"] \n  25 -> 28 [size =\"48604160\"]\n  25 -> 32 [size =\"48604160\"]\n  26 [size=\"13152256\", alpha=\"0.09\", expect_size=\"6576128\"] \n  26 -> 30 [size =\"6576128\"]\n  26 -> 32 [size =\"6576128\"]\n  27 [size=\"23177216\", alpha=\"0.01\", expect_size=\"11588608\"] \n  27 -> 33 [size =\"11588608\"]\n  27 -> 35 [size =\"11588608\"]\n  27 -> 38 [size =\"11588608\"]\n  28 [size=\"95174656\", alpha=\"0.08\", expect_size=\"47587328\"] \n  29 [size=\"103571456\", alpha=\"0.18\", expect_size=\"51785728\"] \n  29 -> 35 [size =\"51785728\"]\n  30 [size=\"85397504\", alpha=\"0.15\", expect_size=\"42698752\"] \n  30 -> 37 [size =\"42698752\"]\n  31 [size=\"65220608\", alpha=\"0.03\", expect_size=\"32610304\"] \n  31 -> 33 [size =\"32610304\"]\n  31 -> 35 [size =\"32610304\"]\n  31 -> 36 [size =\"32610304\"]\n  31 -> 37 [size =\"32610304\"]\n  32 [size=\"19384320\", alpha=\"0.15\", expect_size=\"9692160\"] \n  32 -> 34 [size =\"9692160\"]\n  32 -> 36 [size =\"9692160\"]\n  33 [size=\"73576448\", alpha=\"0.03\", expect_size=\"36788224\"] \n  33 -> 40 [size =\"36788224\"]\n  33 -> 43 [size =\"36788224\"]\n  34 [size=\"101926912\", alpha=\"0.18\", expect_size=\"50963456\"] \n  34 -> 41 [size =\"50963456\"]\n  34 -> 43 [size =\"50963456\"]\n  34 -> 44 [size =\"50963456\"]\n  35 [size=\"93591552\", alpha=\"0.16\", expect_size=\"46795776\"] \n  35 -> 39 [size =\"46795776\"]\n  35 -> 42 [size =\"46795776\"]\n  36 [size=\"93509632\", alpha=\"0.01\", expect_size=\"46754816\"] \n  37 [size=\"39854080\", alpha=\"0.13\", expect_size=\"19927040\"] \n  37 -> 41 [size =\"19927040\"]\n  38 [size=\"46727168\", alpha=\"0.02\", expect_size=\"23363584\"] \n  38 -> 39 [size =\"23363584\"]\n  38 -> 41 [size =\"23363584\"]\n  38 -> 42 [size =\"23363584\"]\n  38 -> 43 [size =\"23363584\"]\n  39 [size=\"85964800\", alpha=\"0.05\", expect_size=\"42982400\"] \n  39 -> 45 [size =\"42982400\"]\n  39 -> 48 [size =\"42982400\"]\n  40 [size=\"76687360\", alpha=\"0.12\", expect_size=\"38343680\"] \n  40 -> 47 [size =\"38343680\"]\n  41 [size=\"51073024\", alpha=\"0.17\", expect_size=\"25536512\"] \n  41 -> 46 [size =\"25536512\"]\n  41 -> 48 [size =\"25536512\"]\n  41 -> 49 [size =\"25536512\"]\n  42 [size=\"64866304\", alpha=\"0.14\", expect_size=\"32433152\"] \n  42 -> 50 [size =\"32433152\"]\n  43 [size=\"43573248\", alpha=\"0.02\", expect_size=\"21786624\"] \n  43 -> 45 [size =\"21786624\"]\n  43 -> 46 [size =\"21786624\"]\n  44 [size=\"57503744\", alpha=\"0.01\", expect_size=\"28751872\"] \n  44 -> 46 [size =\"28751872\"]\n  44 -> 49 [size =\"28751872\"]\n  44 -> 50 [size =\"28751872\"]\n  45 [size=\"49453056\", alpha=\"0.19\", expect_size=\"24726528\"] \n  46 [size=\"32096256\", alpha=\"0.18\", expect_size=\"16048128\"] \n  47 [size=\"35416064\", alpha=\"0.19\", expect_size=\"17708032\"] \n  48 [size=\"98543616\", alpha=\"0.18\", expect_size=\"49271808\"] \n  49 [size=\"13426688\", alpha=\"0.17\", expect_size=\"6713344\"] \n  50 [size=\"36073472\", alpha=\"0.12\", expect_size=\"18036736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.790.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"153190400\", alpha=\"0.13\", expect_size=\"45957120\"] \n  1 -> 40 [size =\"45957120\"]\n  1 -> 45 [size =\"45957120\"]\n  1 -> 46 [size =\"45957120\"]\n  2 [size=\"97887573\", alpha=\"0.04\", expect_size=\"29366272\"] \n  2 -> 38 [size =\"29366272\"]\n  2 -> 40 [size =\"29366272\"]\n  2 -> 43 [size =\"29366272\"]\n  2 -> 44 [size =\"29366272\"]\n  2 -> 47 [size =\"29366272\"]\n  2 -> 49 [size =\"29366272\"]\n  3 [size=\"90470400\", alpha=\"0.01\", expect_size=\"27141120\"] \n  3 -> 39 [size =\"27141120\"]\n  3 -> 40 [size =\"27141120\"]\n  3 -> 43 [size =\"27141120\"]\n  3 -> 44 [size =\"27141120\"]\n  4 [size=\"26306560\", alpha=\"0.18\", expect_size=\"7891968\"] \n  4 -> 40 [size =\"7891968\"]\n  4 -> 40 [size =\"7891968\"]\n  4 -> 49 [size =\"7891968\"]\n  5 [size=\"52609707\", alpha=\"0.04\", expect_size=\"15782912\"] \n  5 -> 40 [size =\"15782912\"]\n  6 [size=\"48725333\", alpha=\"0.18\", expect_size=\"14617600\"] \n  6 -> 35 [size =\"14617600\"]\n  6 -> 40 [size =\"14617600\"]\n  6 -> 42 [size =\"14617600\"]\n  6 -> 43 [size =\"14617600\"]\n  6 -> 49 [size =\"14617600\"]\n  7 [size=\"66348373\", alpha=\"0.07\", expect_size=\"19904512\"] \n  7 -> 40 [size =\"19904512\"]\n  7 -> 45 [size =\"19904512\"]\n  7 -> 49 [size =\"19904512\"]\n  8 [size=\"18176000\", alpha=\"0.03\", expect_size=\"5452800\"] \n  8 -> 38 [size =\"5452800\"]\n  8 -> 39 [size =\"5452800\"]\n  8 -> 46 [size =\"5452800\"]\n  9 [size=\"42953387\", alpha=\"0.10\", expect_size=\"12886016\"] \n  9 -> 43 [size =\"12886016\"]\n  9 -> 46 [size =\"12886016\"]\n  9 -> 50 [size =\"12886016\"]\n  10 [size=\"74369707\", alpha=\"0.04\", expect_size=\"22310912\"] \n  10 -> 43 [size =\"22310912\"]\n  11 [size=\"46414507\", alpha=\"0.18\", expect_size=\"13924352\"] \n  11 -> 38 [size =\"13924352\"]\n  11 -> 45 [size =\"13924352\"]\n  12 [size=\"152347307\", alpha=\"0.01\", expect_size=\"45704192\"] \n  12 -> 39 [size =\"45704192\"]\n  12 -> 46 [size =\"45704192\"]\n  12 -> 49 [size =\"45704192\"]\n  13 [size=\"23060480\", alpha=\"0.11\", expect_size=\"6918144\"] \n  13 -> 35 [size =\"6918144\"]\n  13 -> 37 [size =\"6918144\"]\n  13 -> 38 [size =\"6918144\"]\n  13 -> 39 [size =\"6918144\"]\n  13 -> 43 [size =\"6918144\"]\n  13 -> 44 [size =\"6918144\"]\n  13 -> 46 [size =\"6918144\"]\n  13 -> 47 [size =\"6918144\"]\n  14 [size=\"31689387\", alpha=\"0.10\", expect_size=\"9506816\"] \n  14 -> 39 [size =\"9506816\"]\n  14 -> 40 [size =\"9506816\"]\n  14 -> 42 [size =\"9506816\"]\n  14 -> 44 [size =\"9506816\"]\n  14 -> 45 [size =\"9506816\"]\n  14 -> 46 [size =\"9506816\"]\n  14 -> 46 [size =\"9506816\"]\n  15 [size=\"174219947\", alpha=\"0.04\", expect_size=\"52265984\"] \n  15 -> 39 [size =\"52265984\"]\n  15 -> 41 [size =\"52265984\"]\n  15 -> 43 [size =\"52265984\"]\n  15 -> 44 [size =\"52265984\"]\n  15 -> 45 [size =\"52265984\"]\n  15 -> 46 [size =\"52265984\"]\n  15 -> 49 [size =\"52265984\"]\n  15 -> 50 [size =\"52265984\"]\n  16 [size=\"47691093\", alpha=\"0.02\", expect_size=\"14307328\"] \n  16 -> 39 [size =\"14307328\"]\n  16 -> 41 [size =\"14307328\"]\n  16 -> 45 [size =\"14307328\"]\n  16 -> 47 [size =\"14307328\"]\n  17 [size=\"34044587\", alpha=\"0.18\", expect_size=\"10213376\"] \n  17 -> 37 [size =\"10213376\"]\n  17 -> 39 [size =\"10213376\"]\n  17 -> 40 [size =\"10213376\"]\n  17 -> 45 [size =\"10213376\"]\n  17 -> 49 [size =\"10213376\"]\n  17 -> 50 [size =\"10213376\"]\n  18 [size=\"92883627\", alpha=\"0.02\", expect_size=\"27865088\"] \n  18 -> 39 [size =\"27865088\"]\n  18 -> 42 [size =\"27865088\"]\n  18 -> 45 [size =\"27865088\"]\n  18 -> 46 [size =\"27865088\"]\n  18 -> 49 [size =\"27865088\"]\n  19 [size=\"113602560\", alpha=\"0.03\", expect_size=\"34080768\"] \n  19 -> 39 [size =\"34080768\"]\n  19 -> 42 [size =\"34080768\"]\n  20 [size=\"36805973\", alpha=\"0.12\", expect_size=\"11041792\"] \n  20 -> 37 [size =\"11041792\"]\n  20 -> 39 [size =\"11041792\"]\n  20 -> 40 [size =\"11041792\"]\n  20 -> 44 [size =\"11041792\"]\n  20 -> 47 [size =\"11041792\"]\n  21 [size=\"64815787\", alpha=\"0.17\", expect_size=\"19444736\"] \n  21 -> 39 [size =\"19444736\"]\n  21 -> 42 [size =\"19444736\"]\n  21 -> 44 [size =\"19444736\"]\n  21 -> 45 [size =\"19444736\"]\n  21 -> 49 [size =\"19444736\"]\n  22 [size=\"47568213\", alpha=\"0.13\", expect_size=\"14270464\"] \n  22 -> 36 [size =\"14270464\"]\n  22 -> 37 [size =\"14270464\"]\n  22 -> 42 [size =\"14270464\"]\n  22 -> 45 [size =\"14270464\"]\n  22 -> 46 [size =\"14270464\"]\n  22 -> 49 [size =\"14270464\"]\n  22 -> 50 [size =\"14270464\"]\n  23 [size=\"57105067\", alpha=\"0.18\", expect_size=\"17131520\"] \n  23 -> 39 [size =\"17131520\"]\n  23 -> 42 [size =\"17131520\"]\n  23 -> 43 [size =\"17131520\"]\n  23 -> 46 [size =\"17131520\"]\n  24 [size=\"146967893\", alpha=\"0.04\", expect_size=\"44090368\"] \n  24 -> 41 [size =\"44090368\"]\n  24 -> 42 [size =\"44090368\"]\n  24 -> 43 [size =\"44090368\"]\n  24 -> 46 [size =\"44090368\"]\n  25 [size=\"69632000\", alpha=\"0.14\", expect_size=\"20889600\"] \n  25 -> 42 [size =\"20889600\"]\n  25 -> 43 [size =\"20889600\"]\n  25 -> 46 [size =\"20889600\"]\n  25 -> 49 [size =\"20889600\"]\n  25 -> 50 [size =\"20889600\"]\n  26 [size=\"104103253\", alpha=\"0.09\", expect_size=\"31230976\"] \n  26 -> 44 [size =\"31230976\"]\n  27 [size=\"117637120\", alpha=\"0.10\", expect_size=\"35291136\"] \n  27 -> 40 [size =\"35291136\"]\n  27 -> 41 [size =\"35291136\"]\n  27 -> 44 [size =\"35291136\"]\n  28 [size=\"104099840\", alpha=\"0.10\", expect_size=\"31229952\"] \n  28 -> 40 [size =\"31229952\"]\n  28 -> 41 [size =\"31229952\"]\n  28 -> 46 [size =\"31229952\"]\n  28 -> 50 [size =\"31229952\"]\n  29 [size=\"117411840\", alpha=\"0.14\", expect_size=\"35223552\"] \n  29 -> 40 [size =\"35223552\"]\n  29 -> 43 [size =\"35223552\"]\n  29 -> 45 [size =\"35223552\"]\n  29 -> 46 [size =\"35223552\"]\n  29 -> 49 [size =\"35223552\"]\n  30 [size=\"144817493\", alpha=\"0.06\", expect_size=\"43445248\"] \n  30 -> 43 [size =\"43445248\"]\n  30 -> 45 [size =\"43445248\"]\n  30 -> 49 [size =\"43445248\"]\n  31 [size=\"79301973\", alpha=\"0.01\", expect_size=\"23790592\"] \n  31 -> 37 [size =\"23790592\"]\n  31 -> 41 [size =\"23790592\"]\n  31 -> 42 [size =\"23790592\"]\n  31 -> 43 [size =\"23790592\"]\n  31 -> 49 [size =\"23790592\"]\n  31 -> 50 [size =\"23790592\"]\n  32 [size=\"56586240\", alpha=\"0.13\", expect_size=\"16975872\"] \n  32 -> 40 [size =\"16975872\"]\n  32 -> 41 [size =\"16975872\"]\n  32 -> 44 [size =\"16975872\"]\n  32 -> 49 [size =\"16975872\"]\n  32 -> 50 [size =\"16975872\"]\n  33 [size=\"157078187\", alpha=\"0.06\", expect_size=\"47123456\"] \n  33 -> 38 [size =\"47123456\"]\n  33 -> 39 [size =\"47123456\"]\n  33 -> 41 [size =\"47123456\"]\n  33 -> 44 [size =\"47123456\"]\n  33 -> 45 [size =\"47123456\"]\n  33 -> 46 [size =\"47123456\"]\n  33 -> 47 [size =\"47123456\"]\n  33 -> 48 [size =\"47123456\"]\n  34 [size=\"139205973\", alpha=\"0.00\", expect_size=\"41761792\"] \n  34 -> 36 [size =\"41761792\"]\n  34 -> 41 [size =\"41761792\"]\n  34 -> 42 [size =\"41761792\"]\n  34 -> 43 [size =\"41761792\"]\n  34 -> 49 [size =\"41761792\"]\n  35 [size=\"169086293\", alpha=\"0.15\", expect_size=\"50725888\"] \n  36 [size=\"124562773\", alpha=\"0.13\", expect_size=\"37368832\"] \n  37 [size=\"36887893\", alpha=\"0.14\", expect_size=\"11066368\"] \n  38 [size=\"112220160\", alpha=\"0.04\", expect_size=\"33666048\"] \n  39 [size=\"36689920\", alpha=\"0.06\", expect_size=\"11006976\"] \n  40 [size=\"150353920\", alpha=\"0.11\", expect_size=\"45106176\"] \n  41 [size=\"38236160\", alpha=\"0.02\", expect_size=\"11470848\"] \n  42 [size=\"43857920\", alpha=\"0.16\", expect_size=\"13157376\"] \n  43 [size=\"144800427\", alpha=\"0.16\", expect_size=\"43440128\"] \n  44 [size=\"32081920\", alpha=\"0.12\", expect_size=\"9624576\"] \n  45 [size=\"34488320\", alpha=\"0.15\", expect_size=\"10346496\"] \n  46 [size=\"151480320\", alpha=\"0.09\", expect_size=\"45444096\"] \n  47 [size=\"98699947\", alpha=\"0.15\", expect_size=\"29609984\"] \n  48 [size=\"50008747\", alpha=\"0.13\", expect_size=\"15002624\"] \n  49 [size=\"80810667\", alpha=\"0.03\", expect_size=\"24243200\"] \n  50 [size=\"129952427\", alpha=\"0.10\", expect_size=\"38985728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.791.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"142493013\", alpha=\"0.03\", expect_size=\"42747904\"] \n  1 -> 4 [size =\"42747904\"]\n  2 [size=\"34505387\", alpha=\"0.00\", expect_size=\"10351616\"] \n  2 -> 4 [size =\"10351616\"]\n  2 -> 5 [size =\"10351616\"]\n  3 [size=\"130420053\", alpha=\"0.03\", expect_size=\"39126016\"] \n  3 -> 5 [size =\"39126016\"]\n  4 [size=\"112657067\", alpha=\"0.13\", expect_size=\"33797120\"] \n  4 -> 6 [size =\"33797120\"]\n  4 -> 7 [size =\"33797120\"]\n  5 [size=\"90197333\", alpha=\"0.12\", expect_size=\"27059200\"] \n  5 -> 7 [size =\"27059200\"]\n  6 [size=\"152804693\", alpha=\"0.14\", expect_size=\"45841408\"] \n  6 -> 8 [size =\"45841408\"]\n  6 -> 9 [size =\"45841408\"]\n  7 [size=\"103550293\", alpha=\"0.01\", expect_size=\"31065088\"] \n  7 -> 8 [size =\"31065088\"]\n  7 -> 9 [size =\"31065088\"]\n  7 -> 10 [size =\"31065088\"]\n  8 [size=\"142530560\", alpha=\"0.16\", expect_size=\"42759168\"] \n  8 -> 12 [size =\"42759168\"]\n  9 [size=\"85917013\", alpha=\"0.01\", expect_size=\"25775104\"] \n  9 -> 11 [size =\"25775104\"]\n  9 -> 12 [size =\"25775104\"]\n  10 [size=\"127665493\", alpha=\"0.20\", expect_size=\"38299648\"] \n  10 -> 11 [size =\"38299648\"]\n  11 [size=\"41304747\", alpha=\"0.05\", expect_size=\"12391424\"] \n  12 [size=\"64518827\", alpha=\"0.07\", expect_size=\"19355648\"] \n  12 -> 13 [size =\"19355648\"]\n  12 -> 14 [size =\"19355648\"]\n  12 -> 15 [size =\"19355648\"]\n  13 [size=\"64822613\", alpha=\"0.18\", expect_size=\"19446784\"] \n  14 [size=\"91084800\", alpha=\"0.11\", expect_size=\"27325440\"] \n  14 -> 16 [size =\"27325440\"]\n  15 [size=\"34512213\", alpha=\"0.05\", expect_size=\"10353664\"] \n  15 -> 16 [size =\"10353664\"]\n  15 -> 17 [size =\"10353664\"]\n  16 [size=\"128795307\", alpha=\"0.05\", expect_size=\"38638592\"] \n  17 [size=\"78772907\", alpha=\"0.06\", expect_size=\"23631872\"] \n  17 -> 18 [size =\"23631872\"]\n  17 -> 19 [size =\"23631872\"]\n  18 [size=\"89914027\", alpha=\"0.08\", expect_size=\"26974208\"] \n  18 -> 21 [size =\"26974208\"]\n  19 [size=\"56582827\", alpha=\"0.11\", expect_size=\"16974848\"] \n  19 -> 20 [size =\"16974848\"]\n  19 -> 21 [size =\"16974848\"]\n  20 [size=\"60989440\", alpha=\"0.20\", expect_size=\"18296832\"] \n  20 -> 22 [size =\"18296832\"]\n  21 [size=\"60781227\", alpha=\"0.04\", expect_size=\"18234368\"] \n  21 -> 23 [size =\"18234368\"]\n  21 -> 24 [size =\"18234368\"]\n  22 [size=\"102212267\", alpha=\"0.10\", expect_size=\"30663680\"] \n  22 -> 25 [size =\"30663680\"]\n  23 [size=\"159832747\", alpha=\"0.11\", expect_size=\"47949824\"] \n  23 -> 26 [size =\"47949824\"]\n  24 [size=\"141144747\", alpha=\"0.03\", expect_size=\"42343424\"] \n  24 -> 25 [size =\"42343424\"]\n  24 -> 26 [size =\"42343424\"]\n  25 [size=\"70222507\", alpha=\"0.05\", expect_size=\"21066752\"] \n  25 -> 27 [size =\"21066752\"]\n  25 -> 28 [size =\"21066752\"]\n  26 [size=\"111766187\", alpha=\"0.04\", expect_size=\"33529856\"] \n  26 -> 28 [size =\"33529856\"]\n  27 [size=\"151678293\", alpha=\"0.15\", expect_size=\"45503488\"] \n  27 -> 29 [size =\"45503488\"]\n  28 [size=\"45489493\", alpha=\"0.01\", expect_size=\"13646848\"] \n  28 -> 29 [size =\"13646848\"]\n  28 -> 30 [size =\"13646848\"]\n  29 [size=\"110731947\", alpha=\"0.15\", expect_size=\"33219584\"] \n  29 -> 31 [size =\"33219584\"]\n  30 [size=\"43772587\", alpha=\"0.04\", expect_size=\"13131776\"] \n  30 -> 32 [size =\"13131776\"]\n  31 [size=\"41164800\", alpha=\"0.16\", expect_size=\"12349440\"] \n  31 -> 33 [size =\"12349440\"]\n  31 -> 35 [size =\"12349440\"]\n  32 [size=\"70642347\", alpha=\"0.13\", expect_size=\"21192704\"] \n  32 -> 34 [size =\"21192704\"]\n  32 -> 35 [size =\"21192704\"]\n  33 [size=\"149234347\", alpha=\"0.17\", expect_size=\"44770304\"] \n  33 -> 36 [size =\"44770304\"]\n  33 -> 37 [size =\"44770304\"]\n  34 [size=\"75318613\", alpha=\"0.10\", expect_size=\"22595584\"] \n  34 -> 36 [size =\"22595584\"]\n  35 [size=\"101362347\", alpha=\"0.06\", expect_size=\"30408704\"] \n  35 -> 37 [size =\"30408704\"]\n  35 -> 38 [size =\"30408704\"]\n  36 [size=\"142800213\", alpha=\"0.15\", expect_size=\"42840064\"] \n  37 [size=\"20391253\", alpha=\"0.12\", expect_size=\"6117376\"] \n  37 -> 39 [size =\"6117376\"]\n  37 -> 40 [size =\"6117376\"]\n  38 [size=\"134782293\", alpha=\"0.19\", expect_size=\"40434688\"] \n  38 -> 39 [size =\"40434688\"]\n  39 [size=\"139175253\", alpha=\"0.10\", expect_size=\"41752576\"] \n  39 -> 42 [size =\"41752576\"]\n  40 [size=\"102007467\", alpha=\"0.07\", expect_size=\"30602240\"] \n  40 -> 41 [size =\"30602240\"]\n  40 -> 42 [size =\"30602240\"]\n  41 [size=\"133474987\", alpha=\"0.10\", expect_size=\"40042496\"] \n  41 -> 44 [size =\"40042496\"]\n  42 [size=\"100116480\", alpha=\"0.03\", expect_size=\"30034944\"] \n  42 -> 43 [size =\"30034944\"]\n  42 -> 44 [size =\"30034944\"]\n  43 [size=\"48977920\", alpha=\"0.14\", expect_size=\"14693376\"] \n  43 -> 45 [size =\"14693376\"]\n  44 [size=\"27405653\", alpha=\"0.01\", expect_size=\"8221696\"] \n  44 -> 46 [size =\"8221696\"]\n  45 [size=\"109015040\", alpha=\"0.15\", expect_size=\"32704512\"] \n  45 -> 48 [size =\"32704512\"]\n  45 -> 49 [size =\"32704512\"]\n  46 [size=\"153552213\", alpha=\"0.01\", expect_size=\"46065664\"] \n  46 -> 47 [size =\"46065664\"]\n  46 -> 48 [size =\"46065664\"]\n  47 [size=\"115056640\", alpha=\"0.04\", expect_size=\"34516992\"] \n  47 -> 50 [size =\"34516992\"]\n  48 [size=\"54824960\", alpha=\"0.10\", expect_size=\"16447488\"] \n  49 [size=\"45294933\", alpha=\"0.08\", expect_size=\"13588480\"] \n  50 [size=\"125573120\", alpha=\"0.10\", expect_size=\"37671936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.792.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65122304\", alpha=\"0.18\", expect_size=\"32561152\"] \n  1 -> 20 [size =\"32561152\"]\n  1 -> 22 [size =\"32561152\"]\n  1 -> 23 [size =\"32561152\"]\n  1 -> 25 [size =\"32561152\"]\n  1 -> 26 [size =\"32561152\"]\n  1 -> 27 [size =\"32561152\"]\n  1 -> 28 [size =\"32561152\"]\n  1 -> 32 [size =\"32561152\"]\n  1 -> 34 [size =\"32561152\"]\n  1 -> 35 [size =\"32561152\"]\n  1 -> 37 [size =\"32561152\"]\n  1 -> 41 [size =\"32561152\"]\n  1 -> 42 [size =\"32561152\"]\n  1 -> 43 [size =\"32561152\"]\n  1 -> 44 [size =\"32561152\"]\n  1 -> 49 [size =\"32561152\"]\n  2 [size=\"95537152\", alpha=\"0.17\", expect_size=\"47768576\"] \n  2 -> 20 [size =\"47768576\"]\n  2 -> 21 [size =\"47768576\"]\n  2 -> 22 [size =\"47768576\"]\n  2 -> 24 [size =\"47768576\"]\n  2 -> 25 [size =\"47768576\"]\n  2 -> 26 [size =\"47768576\"]\n  2 -> 27 [size =\"47768576\"]\n  2 -> 29 [size =\"47768576\"]\n  2 -> 33 [size =\"47768576\"]\n  2 -> 34 [size =\"47768576\"]\n  2 -> 35 [size =\"47768576\"]\n  2 -> 40 [size =\"47768576\"]\n  2 -> 42 [size =\"47768576\"]\n  2 -> 43 [size =\"47768576\"]\n  2 -> 46 [size =\"47768576\"]\n  2 -> 49 [size =\"47768576\"]\n  3 [size=\"28809216\", alpha=\"0.12\", expect_size=\"14404608\"] \n  3 -> 20 [size =\"14404608\"]\n  3 -> 21 [size =\"14404608\"]\n  3 -> 22 [size =\"14404608\"]\n  3 -> 24 [size =\"14404608\"]\n  3 -> 29 [size =\"14404608\"]\n  3 -> 34 [size =\"14404608\"]\n  3 -> 35 [size =\"14404608\"]\n  3 -> 36 [size =\"14404608\"]\n  3 -> 37 [size =\"14404608\"]\n  3 -> 43 [size =\"14404608\"]\n  3 -> 46 [size =\"14404608\"]\n  3 -> 47 [size =\"14404608\"]\n  3 -> 48 [size =\"14404608\"]\n  3 -> 49 [size =\"14404608\"]\n  3 -> 50 [size =\"14404608\"]\n  4 [size=\"30644224\", alpha=\"0.13\", expect_size=\"15322112\"] \n  4 -> 22 [size =\"15322112\"]\n  4 -> 23 [size =\"15322112\"]\n  4 -> 25 [size =\"15322112\"]\n  4 -> 27 [size =\"15322112\"]\n  4 -> 31 [size =\"15322112\"]\n  4 -> 34 [size =\"15322112\"]\n  4 -> 35 [size =\"15322112\"]\n  4 -> 37 [size =\"15322112\"]\n  4 -> 48 [size =\"15322112\"]\n  5 [size=\"29528064\", alpha=\"0.09\", expect_size=\"14764032\"] \n  5 -> 20 [size =\"14764032\"]\n  5 -> 22 [size =\"14764032\"]\n  5 -> 26 [size =\"14764032\"]\n  5 -> 29 [size =\"14764032\"]\n  5 -> 31 [size =\"14764032\"]\n  5 -> 32 [size =\"14764032\"]\n  5 -> 34 [size =\"14764032\"]\n  5 -> 35 [size =\"14764032\"]\n  5 -> 37 [size =\"14764032\"]\n  5 -> 39 [size =\"14764032\"]\n  5 -> 41 [size =\"14764032\"]\n  5 -> 44 [size =\"14764032\"]\n  5 -> 46 [size =\"14764032\"]\n  5 -> 49 [size =\"14764032\"]\n  5 -> 50 [size =\"14764032\"]\n  6 [size=\"35993600\", alpha=\"0.12\", expect_size=\"17996800\"] \n  6 -> 22 [size =\"17996800\"]\n  6 -> 23 [size =\"17996800\"]\n  6 -> 25 [size =\"17996800\"]\n  6 -> 26 [size =\"17996800\"]\n  6 -> 30 [size =\"17996800\"]\n  6 -> 34 [size =\"17996800\"]\n  6 -> 34 [size =\"17996800\"]\n  6 -> 36 [size =\"17996800\"]\n  6 -> 38 [size =\"17996800\"]\n  6 -> 39 [size =\"17996800\"]\n  6 -> 40 [size =\"17996800\"]\n  6 -> 41 [size =\"17996800\"]\n  6 -> 46 [size =\"17996800\"]\n  6 -> 50 [size =\"17996800\"]\n  7 [size=\"21604352\", alpha=\"0.04\", expect_size=\"10802176\"] \n  7 -> 20 [size =\"10802176\"]\n  7 -> 21 [size =\"10802176\"]\n  7 -> 25 [size =\"10802176\"]\n  7 -> 26 [size =\"10802176\"]\n  7 -> 27 [size =\"10802176\"]\n  7 -> 29 [size =\"10802176\"]\n  7 -> 30 [size =\"10802176\"]\n  7 -> 32 [size =\"10802176\"]\n  7 -> 37 [size =\"10802176\"]\n  7 -> 39 [size =\"10802176\"]\n  7 -> 41 [size =\"10802176\"]\n  7 -> 41 [size =\"10802176\"]\n  7 -> 42 [size =\"10802176\"]\n  7 -> 43 [size =\"10802176\"]\n  7 -> 46 [size =\"10802176\"]\n  7 -> 49 [size =\"10802176\"]\n  7 -> 50 [size =\"10802176\"]\n  8 [size=\"11454464\", alpha=\"0.01\", expect_size=\"5727232\"] \n  8 -> 22 [size =\"5727232\"]\n  8 -> 23 [size =\"5727232\"]\n  8 -> 26 [size =\"5727232\"]\n  8 -> 26 [size =\"5727232\"]\n  8 -> 27 [size =\"5727232\"]\n  8 -> 30 [size =\"5727232\"]\n  8 -> 32 [size =\"5727232\"]\n  8 -> 34 [size =\"5727232\"]\n  8 -> 35 [size =\"5727232\"]\n  8 -> 36 [size =\"5727232\"]\n  8 -> 37 [size =\"5727232\"]\n  8 -> 39 [size =\"5727232\"]\n  8 -> 43 [size =\"5727232\"]\n  8 -> 45 [size =\"5727232\"]\n  8 -> 46 [size =\"5727232\"]\n  8 -> 49 [size =\"5727232\"]\n  8 -> 50 [size =\"5727232\"]\n  9 [size=\"13017088\", alpha=\"0.08\", expect_size=\"6508544\"] \n  9 -> 22 [size =\"6508544\"]\n  9 -> 25 [size =\"6508544\"]\n  9 -> 26 [size =\"6508544\"]\n  9 -> 27 [size =\"6508544\"]\n  9 -> 28 [size =\"6508544\"]\n  9 -> 34 [size =\"6508544\"]\n  9 -> 35 [size =\"6508544\"]\n  9 -> 39 [size =\"6508544\"]\n  9 -> 40 [size =\"6508544\"]\n  9 -> 43 [size =\"6508544\"]\n  9 -> 44 [size =\"6508544\"]\n  9 -> 46 [size =\"6508544\"]\n  9 -> 49 [size =\"6508544\"]\n  9 -> 50 [size =\"6508544\"]\n  10 [size=\"24465408\", alpha=\"0.10\", expect_size=\"12232704\"] \n  10 -> 20 [size =\"12232704\"]\n  10 -> 25 [size =\"12232704\"]\n  10 -> 26 [size =\"12232704\"]\n  10 -> 27 [size =\"12232704\"]\n  10 -> 28 [size =\"12232704\"]\n  10 -> 29 [size =\"12232704\"]\n  10 -> 34 [size =\"12232704\"]\n  10 -> 35 [size =\"12232704\"]\n  10 -> 39 [size =\"12232704\"]\n  10 -> 43 [size =\"12232704\"]\n  10 -> 46 [size =\"12232704\"]\n  10 -> 49 [size =\"12232704\"]\n  10 -> 50 [size =\"12232704\"]\n  10 -> 50 [size =\"12232704\"]\n  11 [size=\"69847040\", alpha=\"0.10\", expect_size=\"34923520\"] \n  11 -> 24 [size =\"34923520\"]\n  11 -> 25 [size =\"34923520\"]\n  11 -> 34 [size =\"34923520\"]\n  11 -> 35 [size =\"34923520\"]\n  11 -> 37 [size =\"34923520\"]\n  11 -> 39 [size =\"34923520\"]\n  11 -> 41 [size =\"34923520\"]\n  11 -> 43 [size =\"34923520\"]\n  11 -> 46 [size =\"34923520\"]\n  11 -> 50 [size =\"34923520\"]\n  12 [size=\"62027776\", alpha=\"0.13\", expect_size=\"31013888\"] \n  12 -> 20 [size =\"31013888\"]\n  12 -> 22 [size =\"31013888\"]\n  12 -> 25 [size =\"31013888\"]\n  12 -> 27 [size =\"31013888\"]\n  12 -> 28 [size =\"31013888\"]\n  12 -> 30 [size =\"31013888\"]\n  12 -> 35 [size =\"31013888\"]\n  12 -> 39 [size =\"31013888\"]\n  12 -> 43 [size =\"31013888\"]\n  12 -> 46 [size =\"31013888\"]\n  12 -> 48 [size =\"31013888\"]\n  12 -> 50 [size =\"31013888\"]\n  13 [size=\"49483776\", alpha=\"0.20\", expect_size=\"24741888\"] \n  13 -> 21 [size =\"24741888\"]\n  13 -> 22 [size =\"24741888\"]\n  13 -> 23 [size =\"24741888\"]\n  13 -> 25 [size =\"24741888\"]\n  13 -> 27 [size =\"24741888\"]\n  13 -> 28 [size =\"24741888\"]\n  13 -> 29 [size =\"24741888\"]\n  13 -> 33 [size =\"24741888\"]\n  13 -> 34 [size =\"24741888\"]\n  13 -> 35 [size =\"24741888\"]\n  13 -> 37 [size =\"24741888\"]\n  13 -> 38 [size =\"24741888\"]\n  13 -> 39 [size =\"24741888\"]\n  13 -> 43 [size =\"24741888\"]\n  13 -> 45 [size =\"24741888\"]\n  13 -> 47 [size =\"24741888\"]\n  13 -> 48 [size =\"24741888\"]\n  13 -> 49 [size =\"24741888\"]\n  13 -> 50 [size =\"24741888\"]\n  14 [size=\"12054528\", alpha=\"0.11\", expect_size=\"6027264\"] \n  14 -> 23 [size =\"6027264\"]\n  14 -> 25 [size =\"6027264\"]\n  14 -> 26 [size =\"6027264\"]\n  14 -> 27 [size =\"6027264\"]\n  14 -> 27 [size =\"6027264\"]\n  14 -> 29 [size =\"6027264\"]\n  14 -> 30 [size =\"6027264\"]\n  14 -> 32 [size =\"6027264\"]\n  14 -> 34 [size =\"6027264\"]\n  14 -> 35 [size =\"6027264\"]\n  14 -> 37 [size =\"6027264\"]\n  14 -> 38 [size =\"6027264\"]\n  14 -> 43 [size =\"6027264\"]\n  14 -> 44 [size =\"6027264\"]\n  14 -> 46 [size =\"6027264\"]\n  14 -> 47 [size =\"6027264\"]\n  14 -> 48 [size =\"6027264\"]\n  14 -> 49 [size =\"6027264\"]\n  15 [size=\"71127040\", alpha=\"0.12\", expect_size=\"35563520\"] \n  15 -> 21 [size =\"35563520\"]\n  15 -> 22 [size =\"35563520\"]\n  15 -> 23 [size =\"35563520\"]\n  15 -> 24 [size =\"35563520\"]\n  15 -> 25 [size =\"35563520\"]\n  15 -> 27 [size =\"35563520\"]\n  15 -> 29 [size =\"35563520\"]\n  15 -> 32 [size =\"35563520\"]\n  15 -> 34 [size =\"35563520\"]\n  15 -> 35 [size =\"35563520\"]\n  15 -> 37 [size =\"35563520\"]\n  15 -> 42 [size =\"35563520\"]\n  15 -> 44 [size =\"35563520\"]\n  15 -> 46 [size =\"35563520\"]\n  15 -> 49 [size =\"35563520\"]\n  16 [size=\"17995776\", alpha=\"0.05\", expect_size=\"8997888\"] \n  16 -> 22 [size =\"8997888\"]\n  16 -> 22 [size =\"8997888\"]\n  16 -> 23 [size =\"8997888\"]\n  16 -> 25 [size =\"8997888\"]\n  16 -> 27 [size =\"8997888\"]\n  16 -> 27 [size =\"8997888\"]\n  16 -> 29 [size =\"8997888\"]\n  16 -> 31 [size =\"8997888\"]\n  16 -> 32 [size =\"8997888\"]\n  16 -> 35 [size =\"8997888\"]\n  16 -> 37 [size =\"8997888\"]\n  16 -> 39 [size =\"8997888\"]\n  16 -> 40 [size =\"8997888\"]\n  16 -> 43 [size =\"8997888\"]\n  16 -> 46 [size =\"8997888\"]\n  16 -> 49 [size =\"8997888\"]\n  17 [size=\"72581120\", alpha=\"0.16\", expect_size=\"36290560\"] \n  17 -> 21 [size =\"36290560\"]\n  17 -> 25 [size =\"36290560\"]\n  17 -> 27 [size =\"36290560\"]\n  17 -> 28 [size =\"36290560\"]\n  17 -> 31 [size =\"36290560\"]\n  17 -> 32 [size =\"36290560\"]\n  17 -> 34 [size =\"36290560\"]\n  17 -> 35 [size =\"36290560\"]\n  17 -> 37 [size =\"36290560\"]\n  17 -> 39 [size =\"36290560\"]\n  17 -> 43 [size =\"36290560\"]\n  17 -> 49 [size =\"36290560\"]\n  18 [size=\"92065792\", alpha=\"0.09\", expect_size=\"46032896\"] \n  18 -> 22 [size =\"46032896\"]\n  18 -> 25 [size =\"46032896\"]\n  18 -> 27 [size =\"46032896\"]\n  18 -> 29 [size =\"46032896\"]\n  18 -> 34 [size =\"46032896\"]\n  18 -> 35 [size =\"46032896\"]\n  18 -> 37 [size =\"46032896\"]\n  18 -> 41 [size =\"46032896\"]\n  18 -> 44 [size =\"46032896\"]\n  18 -> 45 [size =\"46032896\"]\n  18 -> 46 [size =\"46032896\"]\n  18 -> 49 [size =\"46032896\"]\n  19 [size=\"99039232\", alpha=\"0.07\", expect_size=\"49519616\"] \n  19 -> 22 [size =\"49519616\"]\n  19 -> 23 [size =\"49519616\"]\n  19 -> 25 [size =\"49519616\"]\n  19 -> 27 [size =\"49519616\"]\n  19 -> 28 [size =\"49519616\"]\n  19 -> 34 [size =\"49519616\"]\n  19 -> 35 [size =\"49519616\"]\n  19 -> 37 [size =\"49519616\"]\n  19 -> 39 [size =\"49519616\"]\n  19 -> 42 [size =\"49519616\"]\n  19 -> 43 [size =\"49519616\"]\n  19 -> 47 [size =\"49519616\"]\n  19 -> 49 [size =\"49519616\"]\n  19 -> 50 [size =\"49519616\"]\n  20 [size=\"43479040\", alpha=\"0.05\", expect_size=\"21739520\"] \n  21 [size=\"92194816\", alpha=\"0.14\", expect_size=\"46097408\"] \n  22 [size=\"46415872\", alpha=\"0.02\", expect_size=\"23207936\"] \n  23 [size=\"12093440\", alpha=\"0.13\", expect_size=\"6046720\"] \n  24 [size=\"11526144\", alpha=\"0.09\", expect_size=\"5763072\"] \n  25 [size=\"63051776\", alpha=\"0.09\", expect_size=\"31525888\"] \n  26 [size=\"25962496\", alpha=\"0.14\", expect_size=\"12981248\"] \n  27 [size=\"50563072\", alpha=\"0.02\", expect_size=\"25281536\"] \n  28 [size=\"33781760\", alpha=\"0.10\", expect_size=\"16890880\"] \n  29 [size=\"74475520\", alpha=\"0.18\", expect_size=\"37237760\"] \n  30 [size=\"10934272\", alpha=\"0.09\", expect_size=\"5467136\"] \n  31 [size=\"32501760\", alpha=\"0.13\", expect_size=\"16250880\"] \n  32 [size=\"99444736\", alpha=\"0.08\", expect_size=\"49722368\"] \n  33 [size=\"13699072\", alpha=\"0.11\", expect_size=\"6849536\"] \n  34 [size=\"76703744\", alpha=\"0.14\", expect_size=\"38351872\"] \n  35 [size=\"25503744\", alpha=\"0.11\", expect_size=\"12751872\"] \n  36 [size=\"67889152\", alpha=\"0.09\", expect_size=\"33944576\"] \n  37 [size=\"40622080\", alpha=\"0.20\", expect_size=\"20311040\"] \n  38 [size=\"49192960\", alpha=\"0.08\", expect_size=\"24596480\"] \n  39 [size=\"94574592\", alpha=\"0.15\", expect_size=\"47287296\"] \n  40 [size=\"84926464\", alpha=\"0.09\", expect_size=\"42463232\"] \n  41 [size=\"34226176\", alpha=\"0.00\", expect_size=\"17113088\"] \n  42 [size=\"96208896\", alpha=\"0.19\", expect_size=\"48104448\"] \n  43 [size=\"39301120\", alpha=\"0.19\", expect_size=\"19650560\"] \n  44 [size=\"91246592\", alpha=\"0.18\", expect_size=\"45623296\"] \n  45 [size=\"64872448\", alpha=\"0.09\", expect_size=\"32436224\"] \n  46 [size=\"20817920\", alpha=\"0.03\", expect_size=\"10408960\"] \n  47 [size=\"60968960\", alpha=\"0.05\", expect_size=\"30484480\"] \n  48 [size=\"58677248\", alpha=\"0.13\", expect_size=\"29338624\"] \n  49 [size=\"95524864\", alpha=\"0.14\", expect_size=\"47762432\"] \n  50 [size=\"71321600\", alpha=\"0.15\", expect_size=\"35660800\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.793.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92771840\", alpha=\"0.05\", expect_size=\"37108736\"] \n  1 -> 5 [size =\"37108736\"]\n  2 [size=\"80970240\", alpha=\"0.19\", expect_size=\"32388096\"] \n  2 -> 3 [size =\"32388096\"]\n  2 -> 4 [size =\"32388096\"]\n  3 [size=\"47966720\", alpha=\"0.16\", expect_size=\"19186688\"] \n  3 -> 6 [size =\"19186688\"]\n  3 -> 7 [size =\"19186688\"]\n  4 [size=\"30259200\", alpha=\"0.12\", expect_size=\"12103680\"] \n  4 -> 7 [size =\"12103680\"]\n  5 [size=\"52344320\", alpha=\"0.08\", expect_size=\"20937728\"] \n  6 [size=\"93214720\", alpha=\"0.17\", expect_size=\"37285888\"] \n  6 -> 9 [size =\"37285888\"]\n  6 -> 10 [size =\"37285888\"]\n  7 [size=\"70743040\", alpha=\"0.19\", expect_size=\"28297216\"] \n  7 -> 8 [size =\"28297216\"]\n  8 [size=\"16788480\", alpha=\"0.04\", expect_size=\"6715392\"] \n  8 -> 13 [size =\"6715392\"]\n  9 [size=\"39347200\", alpha=\"0.00\", expect_size=\"15738880\"] \n  9 -> 11 [size =\"15738880\"]\n  10 [size=\"75466240\", alpha=\"0.18\", expect_size=\"30186496\"] \n  10 -> 12 [size =\"30186496\"]\n  10 -> 13 [size =\"30186496\"]\n  11 [size=\"48471040\", alpha=\"0.11\", expect_size=\"19388416\"] \n  11 -> 15 [size =\"19388416\"]\n  12 [size=\"79444480\", alpha=\"0.01\", expect_size=\"31777792\"] \n  12 -> 14 [size =\"31777792\"]\n  13 [size=\"74490880\", alpha=\"0.03\", expect_size=\"29796352\"] \n  13 -> 15 [size =\"29796352\"]\n  14 [size=\"49625600\", alpha=\"0.12\", expect_size=\"19850240\"] \n  14 -> 17 [size =\"19850240\"]\n  15 [size=\"120189440\", alpha=\"0.13\", expect_size=\"48075776\"] \n  15 -> 16 [size =\"48075776\"]\n  15 -> 18 [size =\"48075776\"]\n  16 [size=\"47697920\", alpha=\"0.11\", expect_size=\"19079168\"] \n  16 -> 19 [size =\"19079168\"]\n  16 -> 20 [size =\"19079168\"]\n  17 [size=\"29401600\", alpha=\"0.20\", expect_size=\"11760640\"] \n  18 [size=\"25830400\", alpha=\"0.16\", expect_size=\"10332160\"] \n  18 -> 20 [size =\"10332160\"]\n  19 [size=\"49648640\", alpha=\"0.01\", expect_size=\"19859456\"] \n  19 -> 21 [size =\"19859456\"]\n  19 -> 23 [size =\"19859456\"]\n  20 [size=\"50250240\", alpha=\"0.08\", expect_size=\"20100096\"] \n  20 -> 22 [size =\"20100096\"]\n  21 [size=\"39690240\", alpha=\"0.08\", expect_size=\"15876096\"] \n  21 -> 24 [size =\"15876096\"]\n  21 -> 25 [size =\"15876096\"]\n  22 [size=\"101762560\", alpha=\"0.19\", expect_size=\"40705024\"] \n  22 -> 26 [size =\"40705024\"]\n  23 [size=\"109168640\", alpha=\"0.16\", expect_size=\"43667456\"] \n  24 [size=\"128486400\", alpha=\"0.17\", expect_size=\"51394560\"] \n  25 [size=\"79777280\", alpha=\"0.04\", expect_size=\"31910912\"] \n  25 -> 28 [size =\"31910912\"]\n  26 [size=\"38517760\", alpha=\"0.04\", expect_size=\"15407104\"] \n  26 -> 27 [size =\"15407104\"]\n  27 [size=\"104355840\", alpha=\"0.14\", expect_size=\"41742336\"] \n  27 -> 29 [size =\"41742336\"]\n  28 [size=\"103720960\", alpha=\"0.05\", expect_size=\"41488384\"] \n  28 -> 30 [size =\"41488384\"]\n  28 -> 31 [size =\"41488384\"]\n  29 [size=\"78712320\", alpha=\"0.00\", expect_size=\"31484928\"] \n  29 -> 32 [size =\"31484928\"]\n  30 [size=\"86338560\", alpha=\"0.06\", expect_size=\"34535424\"] \n  30 -> 33 [size =\"34535424\"]\n  31 [size=\"13849600\", alpha=\"0.18\", expect_size=\"5539840\"] \n  32 [size=\"58877440\", alpha=\"0.01\", expect_size=\"23550976\"] \n  32 -> 35 [size =\"23550976\"]\n  33 [size=\"53358080\", alpha=\"0.15\", expect_size=\"21343232\"] \n  33 -> 34 [size =\"21343232\"]\n  34 [size=\"32148480\", alpha=\"0.15\", expect_size=\"12859392\"] \n  34 -> 36 [size =\"12859392\"]\n  35 [size=\"130370560\", alpha=\"0.13\", expect_size=\"52148224\"] \n  35 -> 37 [size =\"52148224\"]\n  36 [size=\"33364480\", alpha=\"0.16\", expect_size=\"13345792\"] \n  36 -> 38 [size =\"13345792\"]\n  36 -> 39 [size =\"13345792\"]\n  37 [size=\"57172480\", alpha=\"0.03\", expect_size=\"22868992\"] \n  38 [size=\"23500800\", alpha=\"0.12\", expect_size=\"9400320\"] \n  38 -> 41 [size =\"9400320\"]\n  38 -> 42 [size =\"9400320\"]\n  39 [size=\"54000640\", alpha=\"0.06\", expect_size=\"21600256\"] \n  39 -> 40 [size =\"21600256\"]\n  40 [size=\"56944640\", alpha=\"0.08\", expect_size=\"22777856\"] \n  40 -> 43 [size =\"22777856\"]\n  41 [size=\"94691840\", alpha=\"0.13\", expect_size=\"37876736\"] \n  41 -> 44 [size =\"37876736\"]\n  42 [size=\"84643840\", alpha=\"0.14\", expect_size=\"33857536\"] \n  43 [size=\"93140480\", alpha=\"0.11\", expect_size=\"37256192\"] \n  44 [size=\"63600640\", alpha=\"0.08\", expect_size=\"25440256\"] \n  44 -> 45 [size =\"25440256\"]\n  44 -> 46 [size =\"25440256\"]\n  45 [size=\"32547840\", alpha=\"0.15\", expect_size=\"13019136\"] \n  46 [size=\"107059200\", alpha=\"0.08\", expect_size=\"42823680\"] \n  46 -> 47 [size =\"42823680\"]\n  46 -> 48 [size =\"42823680\"]\n  46 -> 49 [size =\"42823680\"]\n  47 [size=\"85800960\", alpha=\"0.15\", expect_size=\"34320384\"] \n  47 -> 50 [size =\"34320384\"]\n  48 [size=\"103034880\", alpha=\"0.18\", expect_size=\"41213952\"] \n  49 [size=\"53516800\", alpha=\"0.12\", expect_size=\"21406720\"] \n  50 [size=\"91760640\", alpha=\"0.19\", expect_size=\"36704256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.794.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47139840\", alpha=\"0.13\", expect_size=\"18855936\"] \n  1 -> 34 [size =\"18855936\"]\n  1 -> 37 [size =\"18855936\"]\n  1 -> 42 [size =\"18855936\"]\n  1 -> 46 [size =\"18855936\"]\n  1 -> 47 [size =\"18855936\"]\n  2 [size=\"46515200\", alpha=\"0.11\", expect_size=\"18606080\"] \n  2 -> 36 [size =\"18606080\"]\n  2 -> 40 [size =\"18606080\"]\n  2 -> 41 [size =\"18606080\"]\n  2 -> 44 [size =\"18606080\"]\n  2 -> 46 [size =\"18606080\"]\n  2 -> 47 [size =\"18606080\"]\n  3 [size=\"62000640\", alpha=\"0.13\", expect_size=\"24800256\"] \n  3 -> 39 [size =\"24800256\"]\n  3 -> 40 [size =\"24800256\"]\n  3 -> 42 [size =\"24800256\"]\n  3 -> 44 [size =\"24800256\"]\n  3 -> 45 [size =\"24800256\"]\n  3 -> 49 [size =\"24800256\"]\n  4 [size=\"114449920\", alpha=\"0.17\", expect_size=\"45779968\"] \n  4 -> 34 [size =\"45779968\"]\n  4 -> 36 [size =\"45779968\"]\n  4 -> 42 [size =\"45779968\"]\n  4 -> 43 [size =\"45779968\"]\n  4 -> 47 [size =\"45779968\"]\n  5 [size=\"32637440\", alpha=\"0.03\", expect_size=\"13054976\"] \n  5 -> 35 [size =\"13054976\"]\n  5 -> 43 [size =\"13054976\"]\n  5 -> 47 [size =\"13054976\"]\n  5 -> 50 [size =\"13054976\"]\n  6 [size=\"110312960\", alpha=\"0.14\", expect_size=\"44125184\"] \n  6 -> 34 [size =\"44125184\"]\n  6 -> 40 [size =\"44125184\"]\n  6 -> 47 [size =\"44125184\"]\n  6 -> 49 [size =\"44125184\"]\n  7 [size=\"119631360\", alpha=\"0.00\", expect_size=\"47852544\"] \n  7 -> 40 [size =\"47852544\"]\n  7 -> 42 [size =\"47852544\"]\n  7 -> 47 [size =\"47852544\"]\n  7 -> 48 [size =\"47852544\"]\n  7 -> 49 [size =\"47852544\"]\n  8 [size=\"70837760\", alpha=\"0.20\", expect_size=\"28335104\"] \n  8 -> 35 [size =\"28335104\"]\n  8 -> 39 [size =\"28335104\"]\n  8 -> 49 [size =\"28335104\"]\n  8 -> 50 [size =\"28335104\"]\n  9 [size=\"55470080\", alpha=\"0.15\", expect_size=\"22188032\"] \n  9 -> 39 [size =\"22188032\"]\n  9 -> 49 [size =\"22188032\"]\n  9 -> 49 [size =\"22188032\"]\n  10 [size=\"118684160\", alpha=\"0.06\", expect_size=\"47473664\"] \n  10 -> 34 [size =\"47473664\"]\n  10 -> 43 [size =\"47473664\"]\n  10 -> 46 [size =\"47473664\"]\n  10 -> 47 [size =\"47473664\"]\n  10 -> 48 [size =\"47473664\"]\n  11 [size=\"16179200\", alpha=\"0.02\", expect_size=\"6471680\"] \n  11 -> 43 [size =\"6471680\"]\n  11 -> 49 [size =\"6471680\"]\n  11 -> 50 [size =\"6471680\"]\n  12 [size=\"92935680\", alpha=\"0.13\", expect_size=\"37174272\"] \n  12 -> 34 [size =\"37174272\"]\n  12 -> 35 [size =\"37174272\"]\n  12 -> 44 [size =\"37174272\"]\n  12 -> 45 [size =\"37174272\"]\n  12 -> 50 [size =\"37174272\"]\n  13 [size=\"39150080\", alpha=\"0.17\", expect_size=\"15660032\"] \n  13 -> 35 [size =\"15660032\"]\n  13 -> 35 [size =\"15660032\"]\n  13 -> 39 [size =\"15660032\"]\n  13 -> 40 [size =\"15660032\"]\n  13 -> 47 [size =\"15660032\"]\n  13 -> 49 [size =\"15660032\"]\n  14 [size=\"114355200\", alpha=\"0.20\", expect_size=\"45742080\"] \n  14 -> 35 [size =\"45742080\"]\n  14 -> 40 [size =\"45742080\"]\n  14 -> 49 [size =\"45742080\"]\n  15 [size=\"94138880\", alpha=\"0.08\", expect_size=\"37655552\"] \n  15 -> 36 [size =\"37655552\"]\n  15 -> 39 [size =\"37655552\"]\n  15 -> 40 [size =\"37655552\"]\n  15 -> 42 [size =\"37655552\"]\n  15 -> 48 [size =\"37655552\"]\n  15 -> 49 [size =\"37655552\"]\n  15 -> 50 [size =\"37655552\"]\n  16 [size=\"112803840\", alpha=\"0.16\", expect_size=\"45121536\"] \n  16 -> 36 [size =\"45121536\"]\n  16 -> 39 [size =\"45121536\"]\n  16 -> 40 [size =\"45121536\"]\n  16 -> 41 [size =\"45121536\"]\n  16 -> 45 [size =\"45121536\"]\n  16 -> 47 [size =\"45121536\"]\n  16 -> 49 [size =\"45121536\"]\n  17 [size=\"79741440\", alpha=\"0.12\", expect_size=\"31896576\"] \n  17 -> 40 [size =\"31896576\"]\n  17 -> 42 [size =\"31896576\"]\n  17 -> 45 [size =\"31896576\"]\n  17 -> 47 [size =\"31896576\"]\n  18 [size=\"81006080\", alpha=\"0.12\", expect_size=\"32402432\"] \n  18 -> 39 [size =\"32402432\"]\n  18 -> 42 [size =\"32402432\"]\n  18 -> 45 [size =\"32402432\"]\n  18 -> 49 [size =\"32402432\"]\n  18 -> 50 [size =\"32402432\"]\n  19 [size=\"78999040\", alpha=\"0.16\", expect_size=\"31599616\"] \n  19 -> 40 [size =\"31599616\"]\n  19 -> 41 [size =\"31599616\"]\n  19 -> 42 [size =\"31599616\"]\n  19 -> 48 [size =\"31599616\"]\n  20 [size=\"52103680\", alpha=\"0.03\", expect_size=\"20841472\"] \n  20 -> 34 [size =\"20841472\"]\n  20 -> 38 [size =\"20841472\"]\n  20 -> 40 [size =\"20841472\"]\n  20 -> 45 [size =\"20841472\"]\n  20 -> 46 [size =\"20841472\"]\n  21 [size=\"88545280\", alpha=\"0.16\", expect_size=\"35418112\"] \n  21 -> 35 [size =\"35418112\"]\n  21 -> 43 [size =\"35418112\"]\n  21 -> 46 [size =\"35418112\"]\n  21 -> 48 [size =\"35418112\"]\n  21 -> 50 [size =\"35418112\"]\n  22 [size=\"98731520\", alpha=\"0.15\", expect_size=\"39492608\"] \n  22 -> 34 [size =\"39492608\"]\n  22 -> 35 [size =\"39492608\"]\n  22 -> 39 [size =\"39492608\"]\n  22 -> 42 [size =\"39492608\"]\n  22 -> 44 [size =\"39492608\"]\n  22 -> 45 [size =\"39492608\"]\n  22 -> 46 [size =\"39492608\"]\n  22 -> 49 [size =\"39492608\"]\n  22 -> 50 [size =\"39492608\"]\n  23 [size=\"57431040\", alpha=\"0.02\", expect_size=\"22972416\"] \n  23 -> 34 [size =\"22972416\"]\n  23 -> 39 [size =\"22972416\"]\n  23 -> 40 [size =\"22972416\"]\n  23 -> 44 [size =\"22972416\"]\n  23 -> 48 [size =\"22972416\"]\n  23 -> 49 [size =\"22972416\"]\n  24 [size=\"39040000\", alpha=\"0.06\", expect_size=\"15616000\"] \n  24 -> 36 [size =\"15616000\"]\n  24 -> 39 [size =\"15616000\"]\n  24 -> 40 [size =\"15616000\"]\n  24 -> 45 [size =\"15616000\"]\n  24 -> 48 [size =\"15616000\"]\n  25 [size=\"38914560\", alpha=\"0.13\", expect_size=\"15565824\"] \n  25 -> 37 [size =\"15565824\"]\n  25 -> 41 [size =\"15565824\"]\n  25 -> 42 [size =\"15565824\"]\n  25 -> 45 [size =\"15565824\"]\n  26 [size=\"85601280\", alpha=\"0.17\", expect_size=\"34240512\"] \n  26 -> 50 [size =\"34240512\"]\n  27 [size=\"64307200\", alpha=\"0.19\", expect_size=\"25722880\"] \n  27 -> 42 [size =\"25722880\"]\n  27 -> 47 [size =\"25722880\"]\n  27 -> 48 [size =\"25722880\"]\n  27 -> 50 [size =\"25722880\"]\n  28 [size=\"16501760\", alpha=\"0.11\", expect_size=\"6600704\"] \n  28 -> 35 [size =\"6600704\"]\n  28 -> 36 [size =\"6600704\"]\n  28 -> 42 [size =\"6600704\"]\n  28 -> 45 [size =\"6600704\"]\n  28 -> 50 [size =\"6600704\"]\n  29 [size=\"89489920\", alpha=\"0.10\", expect_size=\"35795968\"] \n  29 -> 36 [size =\"35795968\"]\n  29 -> 39 [size =\"35795968\"]\n  29 -> 45 [size =\"35795968\"]\n  30 [size=\"64972800\", alpha=\"0.07\", expect_size=\"25989120\"] \n  30 -> 40 [size =\"25989120\"]\n  30 -> 42 [size =\"25989120\"]\n  30 -> 45 [size =\"25989120\"]\n  30 -> 46 [size =\"25989120\"]\n  30 -> 47 [size =\"25989120\"]\n  30 -> 48 [size =\"25989120\"]\n  30 -> 50 [size =\"25989120\"]\n  31 [size=\"83069440\", alpha=\"0.04\", expect_size=\"33227776\"] \n  31 -> 40 [size =\"33227776\"]\n  31 -> 42 [size =\"33227776\"]\n  31 -> 44 [size =\"33227776\"]\n  31 -> 46 [size =\"33227776\"]\n  31 -> 50 [size =\"33227776\"]\n  32 [size=\"59845120\", alpha=\"0.15\", expect_size=\"23938048\"] \n  32 -> 35 [size =\"23938048\"]\n  32 -> 42 [size =\"23938048\"]\n  32 -> 46 [size =\"23938048\"]\n  33 [size=\"28712960\", alpha=\"0.10\", expect_size=\"11485184\"] \n  33 -> 35 [size =\"11485184\"]\n  33 -> 37 [size =\"11485184\"]\n  33 -> 38 [size =\"11485184\"]\n  33 -> 39 [size =\"11485184\"]\n  33 -> 40 [size =\"11485184\"]\n  33 -> 43 [size =\"11485184\"]\n  33 -> 44 [size =\"11485184\"]\n  33 -> 47 [size =\"11485184\"]\n  33 -> 49 [size =\"11485184\"]\n  34 [size=\"38563840\", alpha=\"0.03\", expect_size=\"15425536\"] \n  35 [size=\"72780800\", alpha=\"0.09\", expect_size=\"29112320\"] \n  36 [size=\"32931840\", alpha=\"0.12\", expect_size=\"13172736\"] \n  37 [size=\"16217600\", alpha=\"0.07\", expect_size=\"6487040\"] \n  38 [size=\"129169920\", alpha=\"0.13\", expect_size=\"51667968\"] \n  39 [size=\"75619840\", alpha=\"0.10\", expect_size=\"30247936\"] \n  40 [size=\"15900160\", alpha=\"0.13\", expect_size=\"6360064\"] \n  41 [size=\"55587840\", alpha=\"0.10\", expect_size=\"22235136\"] \n  42 [size=\"79792640\", alpha=\"0.01\", expect_size=\"31917056\"] \n  43 [size=\"50378240\", alpha=\"0.20\", expect_size=\"20151296\"] \n  44 [size=\"111357440\", alpha=\"0.02\", expect_size=\"44542976\"] \n  45 [size=\"128046080\", alpha=\"0.10\", expect_size=\"51218432\"] \n  46 [size=\"63513600\", alpha=\"0.09\", expect_size=\"25405440\"] \n  47 [size=\"17459200\", alpha=\"0.18\", expect_size=\"6983680\"] \n  48 [size=\"56519680\", alpha=\"0.07\", expect_size=\"22607872\"] \n  49 [size=\"130624000\", alpha=\"0.08\", expect_size=\"52249600\"] \n  50 [size=\"69742080\", alpha=\"0.19\", expect_size=\"27896832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.795.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79561387\", alpha=\"0.00\", expect_size=\"23868416\"] \n  1 -> 33 [size =\"23868416\"]\n  1 -> 35 [size =\"23868416\"]\n  1 -> 36 [size =\"23868416\"]\n  1 -> 41 [size =\"23868416\"]\n  1 -> 43 [size =\"23868416\"]\n  1 -> 48 [size =\"23868416\"]\n  2 [size=\"131672747\", alpha=\"0.03\", expect_size=\"39501824\"] \n  2 -> 34 [size =\"39501824\"]\n  2 -> 35 [size =\"39501824\"]\n  2 -> 36 [size =\"39501824\"]\n  2 -> 37 [size =\"39501824\"]\n  2 -> 41 [size =\"39501824\"]\n  2 -> 43 [size =\"39501824\"]\n  2 -> 44 [size =\"39501824\"]\n  2 -> 47 [size =\"39501824\"]\n  2 -> 49 [size =\"39501824\"]\n  2 -> 50 [size =\"39501824\"]\n  3 [size=\"21712213\", alpha=\"0.03\", expect_size=\"6513664\"] \n  3 -> 33 [size =\"6513664\"]\n  3 -> 35 [size =\"6513664\"]\n  3 -> 36 [size =\"6513664\"]\n  3 -> 37 [size =\"6513664\"]\n  3 -> 41 [size =\"6513664\"]\n  3 -> 46 [size =\"6513664\"]\n  3 -> 48 [size =\"6513664\"]\n  3 -> 49 [size =\"6513664\"]\n  3 -> 49 [size =\"6513664\"]\n  4 [size=\"46527147\", alpha=\"0.09\", expect_size=\"13958144\"] \n  4 -> 34 [size =\"13958144\"]\n  4 -> 35 [size =\"13958144\"]\n  4 -> 36 [size =\"13958144\"]\n  4 -> 37 [size =\"13958144\"]\n  4 -> 38 [size =\"13958144\"]\n  4 -> 44 [size =\"13958144\"]\n  4 -> 45 [size =\"13958144\"]\n  4 -> 46 [size =\"13958144\"]\n  4 -> 47 [size =\"13958144\"]\n  4 -> 49 [size =\"13958144\"]\n  5 [size=\"41226240\", alpha=\"0.00\", expect_size=\"12367872\"] \n  5 -> 32 [size =\"12367872\"]\n  5 -> 34 [size =\"12367872\"]\n  5 -> 35 [size =\"12367872\"]\n  5 -> 36 [size =\"12367872\"]\n  5 -> 37 [size =\"12367872\"]\n  5 -> 38 [size =\"12367872\"]\n  5 -> 41 [size =\"12367872\"]\n  5 -> 48 [size =\"12367872\"]\n  6 [size=\"73352533\", alpha=\"0.11\", expect_size=\"22005760\"] \n  6 -> 33 [size =\"22005760\"]\n  6 -> 34 [size =\"22005760\"]\n  6 -> 35 [size =\"22005760\"]\n  6 -> 36 [size =\"22005760\"]\n  6 -> 38 [size =\"22005760\"]\n  6 -> 38 [size =\"22005760\"]\n  6 -> 40 [size =\"22005760\"]\n  6 -> 43 [size =\"22005760\"]\n  6 -> 46 [size =\"22005760\"]\n  7 [size=\"25497600\", alpha=\"0.08\", expect_size=\"7649280\"] \n  7 -> 32 [size =\"7649280\"]\n  7 -> 33 [size =\"7649280\"]\n  7 -> 34 [size =\"7649280\"]\n  7 -> 35 [size =\"7649280\"]\n  7 -> 36 [size =\"7649280\"]\n  7 -> 38 [size =\"7649280\"]\n  7 -> 40 [size =\"7649280\"]\n  7 -> 41 [size =\"7649280\"]\n  7 -> 48 [size =\"7649280\"]\n  7 -> 50 [size =\"7649280\"]\n  8 [size=\"54517760\", alpha=\"0.19\", expect_size=\"16355328\"] \n  8 -> 33 [size =\"16355328\"]\n  8 -> 34 [size =\"16355328\"]\n  8 -> 35 [size =\"16355328\"]\n  8 -> 36 [size =\"16355328\"]\n  8 -> 36 [size =\"16355328\"]\n  8 -> 37 [size =\"16355328\"]\n  8 -> 38 [size =\"16355328\"]\n  8 -> 41 [size =\"16355328\"]\n  8 -> 42 [size =\"16355328\"]\n  8 -> 44 [size =\"16355328\"]\n  8 -> 45 [size =\"16355328\"]\n  9 [size=\"140673707\", alpha=\"0.09\", expect_size=\"42202112\"] \n  9 -> 32 [size =\"42202112\"]\n  9 -> 34 [size =\"42202112\"]\n  9 -> 36 [size =\"42202112\"]\n  9 -> 37 [size =\"42202112\"]\n  9 -> 38 [size =\"42202112\"]\n  9 -> 44 [size =\"42202112\"]\n  9 -> 45 [size =\"42202112\"]\n  9 -> 48 [size =\"42202112\"]\n  9 -> 49 [size =\"42202112\"]\n  10 [size=\"21899947\", alpha=\"0.14\", expect_size=\"6569984\"] \n  10 -> 32 [size =\"6569984\"]\n  10 -> 34 [size =\"6569984\"]\n  10 -> 37 [size =\"6569984\"]\n  10 -> 44 [size =\"6569984\"]\n  10 -> 45 [size =\"6569984\"]\n  10 -> 47 [size =\"6569984\"]\n  11 [size=\"172602027\", alpha=\"0.13\", expect_size=\"51780608\"] \n  11 -> 32 [size =\"51780608\"]\n  11 -> 33 [size =\"51780608\"]\n  11 -> 36 [size =\"51780608\"]\n  11 -> 37 [size =\"51780608\"]\n  11 -> 45 [size =\"51780608\"]\n  12 [size=\"18425173\", alpha=\"0.18\", expect_size=\"5527552\"] \n  12 -> 32 [size =\"5527552\"]\n  12 -> 33 [size =\"5527552\"]\n  12 -> 34 [size =\"5527552\"]\n  12 -> 37 [size =\"5527552\"]\n  12 -> 43 [size =\"5527552\"]\n  12 -> 45 [size =\"5527552\"]\n  12 -> 47 [size =\"5527552\"]\n  12 -> 48 [size =\"5527552\"]\n  13 [size=\"39703893\", alpha=\"0.06\", expect_size=\"11911168\"] \n  13 -> 33 [size =\"11911168\"]\n  13 -> 33 [size =\"11911168\"]\n  13 -> 34 [size =\"11911168\"]\n  13 -> 36 [size =\"11911168\"]\n  13 -> 37 [size =\"11911168\"]\n  13 -> 38 [size =\"11911168\"]\n  13 -> 44 [size =\"11911168\"]\n  13 -> 45 [size =\"11911168\"]\n  13 -> 46 [size =\"11911168\"]\n  13 -> 48 [size =\"11911168\"]\n  13 -> 49 [size =\"11911168\"]\n  14 [size=\"64518827\", alpha=\"0.05\", expect_size=\"19355648\"] \n  14 -> 33 [size =\"19355648\"]\n  14 -> 36 [size =\"19355648\"]\n  14 -> 38 [size =\"19355648\"]\n  14 -> 41 [size =\"19355648\"]\n  14 -> 43 [size =\"19355648\"]\n  14 -> 44 [size =\"19355648\"]\n  15 [size=\"132724053\", alpha=\"0.01\", expect_size=\"39817216\"] \n  15 -> 33 [size =\"39817216\"]\n  15 -> 35 [size =\"39817216\"]\n  15 -> 38 [size =\"39817216\"]\n  15 -> 44 [size =\"39817216\"]\n  15 -> 45 [size =\"39817216\"]\n  15 -> 49 [size =\"39817216\"]\n  16 [size=\"136359253\", alpha=\"0.07\", expect_size=\"40907776\"] \n  16 -> 33 [size =\"40907776\"]\n  16 -> 36 [size =\"40907776\"]\n  16 -> 38 [size =\"40907776\"]\n  16 -> 44 [size =\"40907776\"]\n  16 -> 45 [size =\"40907776\"]\n  16 -> 47 [size =\"40907776\"]\n  17 [size=\"64836267\", alpha=\"0.15\", expect_size=\"19450880\"] \n  17 -> 34 [size =\"19450880\"]\n  17 -> 36 [size =\"19450880\"]\n  17 -> 38 [size =\"19450880\"]\n  17 -> 41 [size =\"19450880\"]\n  17 -> 43 [size =\"19450880\"]\n  17 -> 44 [size =\"19450880\"]\n  17 -> 50 [size =\"19450880\"]\n  18 [size=\"130648747\", alpha=\"0.05\", expect_size=\"39194624\"] \n  18 -> 32 [size =\"39194624\"]\n  18 -> 36 [size =\"39194624\"]\n  18 -> 37 [size =\"39194624\"]\n  18 -> 38 [size =\"39194624\"]\n  18 -> 39 [size =\"39194624\"]\n  18 -> 40 [size =\"39194624\"]\n  18 -> 41 [size =\"39194624\"]\n  18 -> 43 [size =\"39194624\"]\n  18 -> 44 [size =\"39194624\"]\n  18 -> 50 [size =\"39194624\"]\n  19 [size=\"121832107\", alpha=\"0.16\", expect_size=\"36549632\"] \n  19 -> 32 [size =\"36549632\"]\n  19 -> 33 [size =\"36549632\"]\n  19 -> 34 [size =\"36549632\"]\n  19 -> 35 [size =\"36549632\"]\n  19 -> 38 [size =\"36549632\"]\n  19 -> 41 [size =\"36549632\"]\n  19 -> 42 [size =\"36549632\"]\n  19 -> 43 [size =\"36549632\"]\n  19 -> 44 [size =\"36549632\"]\n  19 -> 45 [size =\"36549632\"]\n  19 -> 46 [size =\"36549632\"]\n  19 -> 47 [size =\"36549632\"]\n  19 -> 49 [size =\"36549632\"]\n  20 [size=\"36843520\", alpha=\"0.08\", expect_size=\"11053056\"] \n  20 -> 34 [size =\"11053056\"]\n  20 -> 35 [size =\"11053056\"]\n  20 -> 43 [size =\"11053056\"]\n  20 -> 45 [size =\"11053056\"]\n  20 -> 49 [size =\"11053056\"]\n  20 -> 50 [size =\"11053056\"]\n  21 [size=\"149084160\", alpha=\"0.08\", expect_size=\"44725248\"] \n  21 -> 35 [size =\"44725248\"]\n  21 -> 37 [size =\"44725248\"]\n  21 -> 38 [size =\"44725248\"]\n  21 -> 41 [size =\"44725248\"]\n  21 -> 43 [size =\"44725248\"]\n  21 -> 45 [size =\"44725248\"]\n  21 -> 49 [size =\"44725248\"]\n  22 [size=\"91129173\", alpha=\"0.02\", expect_size=\"27338752\"] \n  22 -> 35 [size =\"27338752\"]\n  22 -> 36 [size =\"27338752\"]\n  22 -> 39 [size =\"27338752\"]\n  22 -> 40 [size =\"27338752\"]\n  22 -> 41 [size =\"27338752\"]\n  22 -> 43 [size =\"27338752\"]\n  22 -> 46 [size =\"27338752\"]\n  22 -> 47 [size =\"27338752\"]\n  22 -> 48 [size =\"27338752\"]\n  22 -> 49 [size =\"27338752\"]\n  23 [size=\"78158507\", alpha=\"0.17\", expect_size=\"23447552\"] \n  23 -> 32 [size =\"23447552\"]\n  23 -> 34 [size =\"23447552\"]\n  23 -> 35 [size =\"23447552\"]\n  23 -> 37 [size =\"23447552\"]\n  23 -> 38 [size =\"23447552\"]\n  23 -> 41 [size =\"23447552\"]\n  23 -> 43 [size =\"23447552\"]\n  23 -> 44 [size =\"23447552\"]\n  23 -> 46 [size =\"23447552\"]\n  23 -> 48 [size =\"23447552\"]\n  24 [size=\"122446507\", alpha=\"0.16\", expect_size=\"36733952\"] \n  24 -> 32 [size =\"36733952\"]\n  24 -> 33 [size =\"36733952\"]\n  24 -> 35 [size =\"36733952\"]\n  24 -> 37 [size =\"36733952\"]\n  24 -> 41 [size =\"36733952\"]\n  24 -> 43 [size =\"36733952\"]\n  24 -> 43 [size =\"36733952\"]\n  24 -> 44 [size =\"36733952\"]\n  24 -> 48 [size =\"36733952\"]\n  24 -> 48 [size =\"36733952\"]\n  24 -> 49 [size =\"36733952\"]\n  24 -> 50 [size =\"36733952\"]\n  25 [size=\"160139947\", alpha=\"0.17\", expect_size=\"48041984\"] \n  25 -> 33 [size =\"48041984\"]\n  25 -> 34 [size =\"48041984\"]\n  25 -> 35 [size =\"48041984\"]\n  25 -> 37 [size =\"48041984\"]\n  25 -> 40 [size =\"48041984\"]\n  25 -> 43 [size =\"48041984\"]\n  25 -> 47 [size =\"48041984\"]\n  25 -> 48 [size =\"48041984\"]\n  25 -> 50 [size =\"48041984\"]\n  26 [size=\"169048747\", alpha=\"0.06\", expect_size=\"50714624\"] \n  26 -> 34 [size =\"50714624\"]\n  26 -> 35 [size =\"50714624\"]\n  26 -> 36 [size =\"50714624\"]\n  26 -> 38 [size =\"50714624\"]\n  26 -> 41 [size =\"50714624\"]\n  26 -> 43 [size =\"50714624\"]\n  26 -> 50 [size =\"50714624\"]\n  27 [size=\"69645653\", alpha=\"0.16\", expect_size=\"20893696\"] \n  27 -> 32 [size =\"20893696\"]\n  27 -> 34 [size =\"20893696\"]\n  27 -> 35 [size =\"20893696\"]\n  27 -> 41 [size =\"20893696\"]\n  27 -> 43 [size =\"20893696\"]\n  27 -> 43 [size =\"20893696\"]\n  27 -> 44 [size =\"20893696\"]\n  27 -> 45 [size =\"20893696\"]\n  28 [size=\"30863360\", alpha=\"0.10\", expect_size=\"9259008\"] \n  28 -> 34 [size =\"9259008\"]\n  28 -> 34 [size =\"9259008\"]\n  28 -> 35 [size =\"9259008\"]\n  28 -> 36 [size =\"9259008\"]\n  28 -> 37 [size =\"9259008\"]\n  28 -> 39 [size =\"9259008\"]\n  28 -> 40 [size =\"9259008\"]\n  28 -> 41 [size =\"9259008\"]\n  28 -> 43 [size =\"9259008\"]\n  28 -> 48 [size =\"9259008\"]\n  29 [size=\"68420267\", alpha=\"0.00\", expect_size=\"20526080\"] \n  29 -> 33 [size =\"20526080\"]\n  29 -> 34 [size =\"20526080\"]\n  29 -> 35 [size =\"20526080\"]\n  29 -> 37 [size =\"20526080\"]\n  29 -> 37 [size =\"20526080\"]\n  29 -> 40 [size =\"20526080\"]\n  29 -> 41 [size =\"20526080\"]\n  29 -> 43 [size =\"20526080\"]\n  29 -> 46 [size =\"20526080\"]\n  29 -> 47 [size =\"20526080\"]\n  29 -> 49 [size =\"20526080\"]\n  29 -> 50 [size =\"20526080\"]\n  30 [size=\"37925547\", alpha=\"0.11\", expect_size=\"11377664\"] \n  30 -> 32 [size =\"11377664\"]\n  30 -> 33 [size =\"11377664\"]\n  30 -> 34 [size =\"11377664\"]\n  30 -> 35 [size =\"11377664\"]\n  30 -> 36 [size =\"11377664\"]\n  30 -> 37 [size =\"11377664\"]\n  30 -> 38 [size =\"11377664\"]\n  30 -> 41 [size =\"11377664\"]\n  30 -> 43 [size =\"11377664\"]\n  30 -> 46 [size =\"11377664\"]\n  30 -> 49 [size =\"11377664\"]\n  31 [size=\"101324800\", alpha=\"0.01\", expect_size=\"30397440\"] \n  31 -> 33 [size =\"30397440\"]\n  31 -> 34 [size =\"30397440\"]\n  31 -> 36 [size =\"30397440\"]\n  31 -> 38 [size =\"30397440\"]\n  31 -> 39 [size =\"30397440\"]\n  31 -> 41 [size =\"30397440\"]\n  31 -> 43 [size =\"30397440\"]\n  31 -> 46 [size =\"30397440\"]\n  32 [size=\"163416747\", alpha=\"0.12\", expect_size=\"49025024\"] \n  33 [size=\"23825067\", alpha=\"0.05\", expect_size=\"7147520\"] \n  34 [size=\"158648320\", alpha=\"0.05\", expect_size=\"47594496\"] \n  35 [size=\"125081600\", alpha=\"0.19\", expect_size=\"37524480\"] \n  36 [size=\"104161280\", alpha=\"0.08\", expect_size=\"31248384\"] \n  37 [size=\"151763627\", alpha=\"0.03\", expect_size=\"45529088\"] \n  38 [size=\"118626987\", alpha=\"0.12\", expect_size=\"35588096\"] \n  39 [size=\"41792853\", alpha=\"0.15\", expect_size=\"12537856\"] \n  40 [size=\"44462080\", alpha=\"0.00\", expect_size=\"13338624\"] \n  41 [size=\"131061760\", alpha=\"0.02\", expect_size=\"39318528\"] \n  42 [size=\"142144853\", alpha=\"0.14\", expect_size=\"42643456\"] \n  43 [size=\"78656853\", alpha=\"0.13\", expect_size=\"23597056\"] \n  44 [size=\"120122027\", alpha=\"0.05\", expect_size=\"36036608\"] \n  45 [size=\"156293120\", alpha=\"0.16\", expect_size=\"46887936\"] \n  46 [size=\"145138347\", alpha=\"0.06\", expect_size=\"43541504\"] \n  47 [size=\"48254293\", alpha=\"0.02\", expect_size=\"14476288\"] \n  48 [size=\"70287360\", alpha=\"0.00\", expect_size=\"21086208\"] \n  49 [size=\"167127040\", alpha=\"0.05\", expect_size=\"50138112\"] \n  50 [size=\"128559787\", alpha=\"0.12\", expect_size=\"38567936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.796.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77701120\", alpha=\"0.00\", expect_size=\"23310336\"] \n  1 -> 16 [size =\"23310336\"]\n  1 -> 22 [size =\"23310336\"]\n  1 -> 23 [size =\"23310336\"]\n  1 -> 28 [size =\"23310336\"]\n  2 [size=\"51978240\", alpha=\"0.01\", expect_size=\"15593472\"] \n  2 -> 18 [size =\"15593472\"]\n  2 -> 19 [size =\"15593472\"]\n  2 -> 25 [size =\"15593472\"]\n  2 -> 29 [size =\"15593472\"]\n  3 [size=\"44137813\", alpha=\"0.15\", expect_size=\"13241344\"] \n  3 -> 16 [size =\"13241344\"]\n  3 -> 26 [size =\"13241344\"]\n  4 [size=\"100618240\", alpha=\"0.05\", expect_size=\"30185472\"] \n  4 -> 16 [size =\"30185472\"]\n  4 -> 17 [size =\"30185472\"]\n  4 -> 19 [size =\"30185472\"]\n  4 -> 22 [size =\"30185472\"]\n  4 -> 29 [size =\"30185472\"]\n  5 [size=\"155286187\", alpha=\"0.14\", expect_size=\"46585856\"] \n  5 -> 16 [size =\"46585856\"]\n  5 -> 17 [size =\"46585856\"]\n  5 -> 19 [size =\"46585856\"]\n  5 -> 21 [size =\"46585856\"]\n  5 -> 22 [size =\"46585856\"]\n  6 [size=\"152268800\", alpha=\"0.10\", expect_size=\"45680640\"] \n  6 -> 15 [size =\"45680640\"]\n  6 -> 21 [size =\"45680640\"]\n  7 [size=\"144889173\", alpha=\"0.19\", expect_size=\"43466752\"] \n  7 -> 15 [size =\"43466752\"]\n  7 -> 17 [size =\"43466752\"]\n  7 -> 23 [size =\"43466752\"]\n  7 -> 26 [size =\"43466752\"]\n  7 -> 29 [size =\"43466752\"]\n  8 [size=\"78230187\", alpha=\"0.09\", expect_size=\"23469056\"] \n  8 -> 15 [size =\"23469056\"]\n  8 -> 17 [size =\"23469056\"]\n  8 -> 27 [size =\"23469056\"]\n  9 [size=\"37263360\", alpha=\"0.06\", expect_size=\"11179008\"] \n  9 -> 15 [size =\"11179008\"]\n  9 -> 23 [size =\"11179008\"]\n  9 -> 25 [size =\"11179008\"]\n  9 -> 27 [size =\"11179008\"]\n  10 [size=\"110834347\", alpha=\"0.06\", expect_size=\"33250304\"] \n  10 -> 17 [size =\"33250304\"]\n  10 -> 22 [size =\"33250304\"]\n  10 -> 23 [size =\"33250304\"]\n  10 -> 24 [size =\"33250304\"]\n  10 -> 26 [size =\"33250304\"]\n  10 -> 27 [size =\"33250304\"]\n  11 [size=\"40816640\", alpha=\"0.10\", expect_size=\"12244992\"] \n  11 -> 16 [size =\"12244992\"]\n  11 -> 19 [size =\"12244992\"]\n  11 -> 28 [size =\"12244992\"]\n  11 -> 29 [size =\"12244992\"]\n  12 [size=\"41502720\", alpha=\"0.02\", expect_size=\"12450816\"] \n  12 -> 15 [size =\"12450816\"]\n  12 -> 16 [size =\"12450816\"]\n  12 -> 20 [size =\"12450816\"]\n  12 -> 24 [size =\"12450816\"]\n  12 -> 27 [size =\"12450816\"]\n  13 [size=\"46107307\", alpha=\"0.12\", expect_size=\"13832192\"] \n  13 -> 19 [size =\"13832192\"]\n  13 -> 26 [size =\"13832192\"]\n  13 -> 27 [size =\"13832192\"]\n  14 [size=\"165044907\", alpha=\"0.05\", expect_size=\"49513472\"] \n  14 -> 16 [size =\"49513472\"]\n  14 -> 20 [size =\"49513472\"]\n  14 -> 22 [size =\"49513472\"]\n  14 -> 26 [size =\"49513472\"]\n  14 -> 27 [size =\"49513472\"]\n  14 -> 29 [size =\"49513472\"]\n  15 [size=\"44124160\", alpha=\"0.13\", expect_size=\"13237248\"] \n  15 -> 33 [size =\"13237248\"]\n  15 -> 40 [size =\"13237248\"]\n  15 -> 42 [size =\"13237248\"]\n  16 [size=\"153016320\", alpha=\"0.06\", expect_size=\"45904896\"] \n  16 -> 34 [size =\"45904896\"]\n  16 -> 40 [size =\"45904896\"]\n  16 -> 42 [size =\"45904896\"]\n  16 -> 43 [size =\"45904896\"]\n  17 [size=\"72444587\", alpha=\"0.16\", expect_size=\"21733376\"] \n  17 -> 38 [size =\"21733376\"]\n  17 -> 40 [size =\"21733376\"]\n  17 -> 42 [size =\"21733376\"]\n  17 -> 43 [size =\"21733376\"]\n  18 [size=\"62638080\", alpha=\"0.10\", expect_size=\"18791424\"] \n  18 -> 30 [size =\"18791424\"]\n  18 -> 34 [size =\"18791424\"]\n  18 -> 38 [size =\"18791424\"]\n  18 -> 42 [size =\"18791424\"]\n  18 -> 43 [size =\"18791424\"]\n  19 [size=\"133495467\", alpha=\"0.02\", expect_size=\"40048640\"] \n  19 -> 38 [size =\"40048640\"]\n  19 -> 39 [size =\"40048640\"]\n  19 -> 43 [size =\"40048640\"]\n  19 -> 44 [size =\"40048640\"]\n  19 -> 45 [size =\"40048640\"]\n  20 [size=\"26525013\", alpha=\"0.11\", expect_size=\"7957504\"] \n  20 -> 37 [size =\"7957504\"]\n  20 -> 41 [size =\"7957504\"]\n  20 -> 43 [size =\"7957504\"]\n  20 -> 44 [size =\"7957504\"]\n  21 [size=\"76584960\", alpha=\"0.07\", expect_size=\"22975488\"] \n  21 -> 32 [size =\"22975488\"]\n  21 -> 35 [size =\"22975488\"]\n  21 -> 40 [size =\"22975488\"]\n  21 -> 44 [size =\"22975488\"]\n  22 [size=\"152685227\", alpha=\"0.07\", expect_size=\"45805568\"] \n  22 -> 32 [size =\"45805568\"]\n  22 -> 40 [size =\"45805568\"]\n  22 -> 45 [size =\"45805568\"]\n  23 [size=\"171403947\", alpha=\"0.11\", expect_size=\"51421184\"] \n  23 -> 32 [size =\"51421184\"]\n  23 -> 33 [size =\"51421184\"]\n  23 -> 44 [size =\"51421184\"]\n  23 -> 45 [size =\"51421184\"]\n  24 [size=\"112257707\", alpha=\"0.06\", expect_size=\"33677312\"] \n  24 -> 33 [size =\"33677312\"]\n  24 -> 34 [size =\"33677312\"]\n  24 -> 45 [size =\"33677312\"]\n  24 -> 45 [size =\"33677312\"]\n  25 [size=\"152145920\", alpha=\"0.17\", expect_size=\"45643776\"] \n  25 -> 32 [size =\"45643776\"]\n  25 -> 33 [size =\"45643776\"]\n  25 -> 34 [size =\"45643776\"]\n  26 [size=\"94184107\", alpha=\"0.07\", expect_size=\"28255232\"] \n  26 -> 33 [size =\"28255232\"]\n  26 -> 33 [size =\"28255232\"]\n  26 -> 34 [size =\"28255232\"]\n  26 -> 42 [size =\"28255232\"]\n  27 [size=\"144452267\", alpha=\"0.12\", expect_size=\"43335680\"] \n  27 -> 30 [size =\"43335680\"]\n  27 -> 33 [size =\"43335680\"]\n  27 -> 36 [size =\"43335680\"]\n  27 -> 44 [size =\"43335680\"]\n  27 -> 45 [size =\"43335680\"]\n  28 [size=\"111052800\", alpha=\"0.05\", expect_size=\"33315840\"] \n  28 -> 31 [size =\"33315840\"]\n  28 -> 33 [size =\"33315840\"]\n  28 -> 42 [size =\"33315840\"]\n  28 -> 44 [size =\"33315840\"]\n  29 [size=\"28962133\", alpha=\"0.00\", expect_size=\"8688640\"] \n  29 -> 34 [size =\"8688640\"]\n  29 -> 39 [size =\"8688640\"]\n  29 -> 42 [size =\"8688640\"]\n  29 -> 43 [size =\"8688640\"]\n  30 [size=\"47557973\", alpha=\"0.08\", expect_size=\"14267392\"] \n  30 -> 48 [size =\"14267392\"]\n  30 -> 49 [size =\"14267392\"]\n  31 [size=\"132270080\", alpha=\"0.18\", expect_size=\"39681024\"] \n  31 -> 48 [size =\"39681024\"]\n  32 [size=\"28757333\", alpha=\"0.12\", expect_size=\"8627200\"] \n  32 -> 46 [size =\"8627200\"]\n  32 -> 50 [size =\"8627200\"]\n  33 [size=\"86087680\", alpha=\"0.09\", expect_size=\"25826304\"] \n  33 -> 46 [size =\"25826304\"]\n  33 -> 48 [size =\"25826304\"]\n  33 -> 50 [size =\"25826304\"]\n  34 [size=\"173643093\", alpha=\"0.04\", expect_size=\"52092928\"] \n  34 -> 46 [size =\"52092928\"]\n  35 [size=\"59992747\", alpha=\"0.04\", expect_size=\"17997824\"] \n  36 [size=\"40232960\", alpha=\"0.00\", expect_size=\"12069888\"] \n  36 -> 46 [size =\"12069888\"]\n  37 [size=\"91873280\", alpha=\"0.04\", expect_size=\"27561984\"] \n  38 [size=\"27750400\", alpha=\"0.13\", expect_size=\"8325120\"] \n  38 -> 46 [size =\"8325120\"]\n  38 -> 49 [size =\"8325120\"]\n  38 -> 50 [size =\"8325120\"]\n  39 [size=\"65911467\", alpha=\"0.17\", expect_size=\"19773440\"] \n  39 -> 49 [size =\"19773440\"]\n  40 [size=\"68860587\", alpha=\"0.02\", expect_size=\"20658176\"] \n  40 -> 46 [size =\"20658176\"]\n  41 [size=\"129955840\", alpha=\"0.14\", expect_size=\"38986752\"] \n  42 [size=\"115254613\", alpha=\"0.04\", expect_size=\"34576384\"] \n  42 -> 46 [size =\"34576384\"]\n  42 -> 47 [size =\"34576384\"]\n  42 -> 50 [size =\"34576384\"]\n  43 [size=\"48783360\", alpha=\"0.13\", expect_size=\"14635008\"] \n  43 -> 47 [size =\"14635008\"]\n  44 [size=\"116459520\", alpha=\"0.15\", expect_size=\"34937856\"] \n  44 -> 50 [size =\"34937856\"]\n  45 [size=\"151282347\", alpha=\"0.13\", expect_size=\"45384704\"] \n  45 -> 47 [size =\"45384704\"]\n  46 [size=\"22620160\", alpha=\"0.02\", expect_size=\"6786048\"] \n  47 [size=\"23296000\", alpha=\"0.06\", expect_size=\"6988800\"] \n  48 [size=\"50991787\", alpha=\"0.03\", expect_size=\"15297536\"] \n  49 [size=\"150876160\", alpha=\"0.00\", expect_size=\"45262848\"] \n  50 [size=\"124392107\", alpha=\"0.02\", expect_size=\"37317632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.797.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25817600\", alpha=\"0.05\", expect_size=\"10327040\"] \n  1 -> 27 [size =\"10327040\"]\n  1 -> 29 [size =\"10327040\"]\n  1 -> 34 [size =\"10327040\"]\n  1 -> 36 [size =\"10327040\"]\n  1 -> 39 [size =\"10327040\"]\n  1 -> 40 [size =\"10327040\"]\n  1 -> 45 [size =\"10327040\"]\n  1 -> 48 [size =\"10327040\"]\n  1 -> 49 [size =\"10327040\"]\n  1 -> 50 [size =\"10327040\"]\n  2 [size=\"26324480\", alpha=\"0.16\", expect_size=\"10529792\"] \n  2 -> 27 [size =\"10529792\"]\n  2 -> 36 [size =\"10529792\"]\n  2 -> 39 [size =\"10529792\"]\n  2 -> 45 [size =\"10529792\"]\n  2 -> 49 [size =\"10529792\"]\n  2 -> 50 [size =\"10529792\"]\n  3 [size=\"101808640\", alpha=\"0.14\", expect_size=\"40723456\"] \n  3 -> 27 [size =\"40723456\"]\n  3 -> 36 [size =\"40723456\"]\n  3 -> 38 [size =\"40723456\"]\n  3 -> 39 [size =\"40723456\"]\n  3 -> 41 [size =\"40723456\"]\n  3 -> 44 [size =\"40723456\"]\n  3 -> 47 [size =\"40723456\"]\n  3 -> 49 [size =\"40723456\"]\n  3 -> 50 [size =\"40723456\"]\n  4 [size=\"111680000\", alpha=\"0.03\", expect_size=\"44672000\"] \n  4 -> 27 [size =\"44672000\"]\n  4 -> 28 [size =\"44672000\"]\n  4 -> 34 [size =\"44672000\"]\n  4 -> 36 [size =\"44672000\"]\n  4 -> 38 [size =\"44672000\"]\n  4 -> 41 [size =\"44672000\"]\n  4 -> 42 [size =\"44672000\"]\n  4 -> 44 [size =\"44672000\"]\n  4 -> 47 [size =\"44672000\"]\n  4 -> 50 [size =\"44672000\"]\n  5 [size=\"27381760\", alpha=\"0.15\", expect_size=\"10952704\"] \n  5 -> 27 [size =\"10952704\"]\n  5 -> 36 [size =\"10952704\"]\n  5 -> 38 [size =\"10952704\"]\n  5 -> 41 [size =\"10952704\"]\n  5 -> 42 [size =\"10952704\"]\n  5 -> 43 [size =\"10952704\"]\n  5 -> 44 [size =\"10952704\"]\n  5 -> 50 [size =\"10952704\"]\n  6 [size=\"121177600\", alpha=\"0.14\", expect_size=\"48471040\"] \n  6 -> 34 [size =\"48471040\"]\n  6 -> 36 [size =\"48471040\"]\n  6 -> 37 [size =\"48471040\"]\n  6 -> 40 [size =\"48471040\"]\n  6 -> 41 [size =\"48471040\"]\n  6 -> 42 [size =\"48471040\"]\n  6 -> 43 [size =\"48471040\"]\n  6 -> 44 [size =\"48471040\"]\n  6 -> 46 [size =\"48471040\"]\n  7 [size=\"112716800\", alpha=\"0.15\", expect_size=\"45086720\"] \n  7 -> 27 [size =\"45086720\"]\n  7 -> 28 [size =\"45086720\"]\n  7 -> 34 [size =\"45086720\"]\n  7 -> 36 [size =\"45086720\"]\n  7 -> 42 [size =\"45086720\"]\n  7 -> 42 [size =\"45086720\"]\n  7 -> 44 [size =\"45086720\"]\n  7 -> 45 [size =\"45086720\"]\n  7 -> 46 [size =\"45086720\"]\n  7 -> 48 [size =\"45086720\"]\n  7 -> 49 [size =\"45086720\"]\n  7 -> 50 [size =\"45086720\"]\n  8 [size=\"39531520\", alpha=\"0.17\", expect_size=\"15812608\"] \n  8 -> 28 [size =\"15812608\"]\n  8 -> 38 [size =\"15812608\"]\n  8 -> 45 [size =\"15812608\"]\n  8 -> 46 [size =\"15812608\"]\n  8 -> 47 [size =\"15812608\"]\n  8 -> 48 [size =\"15812608\"]\n  8 -> 49 [size =\"15812608\"]\n  9 [size=\"86986240\", alpha=\"0.07\", expect_size=\"34794496\"] \n  9 -> 28 [size =\"34794496\"]\n  9 -> 36 [size =\"34794496\"]\n  9 -> 38 [size =\"34794496\"]\n  9 -> 39 [size =\"34794496\"]\n  9 -> 40 [size =\"34794496\"]\n  9 -> 41 [size =\"34794496\"]\n  9 -> 44 [size =\"34794496\"]\n  9 -> 45 [size =\"34794496\"]\n  9 -> 46 [size =\"34794496\"]\n  9 -> 48 [size =\"34794496\"]\n  9 -> 49 [size =\"34794496\"]\n  9 -> 50 [size =\"34794496\"]\n  10 [size=\"105966080\", alpha=\"0.10\", expect_size=\"42386432\"] \n  10 -> 28 [size =\"42386432\"]\n  10 -> 40 [size =\"42386432\"]\n  10 -> 41 [size =\"42386432\"]\n  10 -> 43 [size =\"42386432\"]\n  10 -> 45 [size =\"42386432\"]\n  11 [size=\"59962880\", alpha=\"0.14\", expect_size=\"23985152\"] \n  11 -> 28 [size =\"23985152\"]\n  11 -> 34 [size =\"23985152\"]\n  11 -> 38 [size =\"23985152\"]\n  11 -> 42 [size =\"23985152\"]\n  11 -> 45 [size =\"23985152\"]\n  11 -> 46 [size =\"23985152\"]\n  11 -> 47 [size =\"23985152\"]\n  11 -> 48 [size =\"23985152\"]\n  11 -> 49 [size =\"23985152\"]\n  11 -> 50 [size =\"23985152\"]\n  12 [size=\"90078720\", alpha=\"0.09\", expect_size=\"36031488\"] \n  12 -> 28 [size =\"36031488\"]\n  12 -> 42 [size =\"36031488\"]\n  12 -> 44 [size =\"36031488\"]\n  12 -> 45 [size =\"36031488\"]\n  12 -> 47 [size =\"36031488\"]\n  12 -> 48 [size =\"36031488\"]\n  12 -> 49 [size =\"36031488\"]\n  12 -> 50 [size =\"36031488\"]\n  13 [size=\"68200960\", alpha=\"0.13\", expect_size=\"27280384\"] \n  13 -> 28 [size =\"27280384\"]\n  13 -> 32 [size =\"27280384\"]\n  13 -> 34 [size =\"27280384\"]\n  13 -> 36 [size =\"27280384\"]\n  13 -> 39 [size =\"27280384\"]\n  13 -> 40 [size =\"27280384\"]\n  13 -> 41 [size =\"27280384\"]\n  13 -> 42 [size =\"27280384\"]\n  13 -> 44 [size =\"27280384\"]\n  13 -> 45 [size =\"27280384\"]\n  13 -> 50 [size =\"27280384\"]\n  14 [size=\"32176640\", alpha=\"0.14\", expect_size=\"12870656\"] \n  14 -> 28 [size =\"12870656\"]\n  14 -> 35 [size =\"12870656\"]\n  14 -> 36 [size =\"12870656\"]\n  14 -> 36 [size =\"12870656\"]\n  14 -> 39 [size =\"12870656\"]\n  14 -> 40 [size =\"12870656\"]\n  14 -> 41 [size =\"12870656\"]\n  14 -> 42 [size =\"12870656\"]\n  14 -> 44 [size =\"12870656\"]\n  14 -> 45 [size =\"12870656\"]\n  14 -> 46 [size =\"12870656\"]\n  14 -> 49 [size =\"12870656\"]\n  15 [size=\"48632320\", alpha=\"0.08\", expect_size=\"19452928\"] \n  15 -> 27 [size =\"19452928\"]\n  15 -> 28 [size =\"19452928\"]\n  15 -> 36 [size =\"19452928\"]\n  15 -> 38 [size =\"19452928\"]\n  15 -> 39 [size =\"19452928\"]\n  15 -> 40 [size =\"19452928\"]\n  15 -> 42 [size =\"19452928\"]\n  15 -> 45 [size =\"19452928\"]\n  15 -> 50 [size =\"19452928\"]\n  16 [size=\"18928640\", alpha=\"0.19\", expect_size=\"7571456\"] \n  16 -> 28 [size =\"7571456\"]\n  16 -> 39 [size =\"7571456\"]\n  16 -> 40 [size =\"7571456\"]\n  16 -> 42 [size =\"7571456\"]\n  16 -> 44 [size =\"7571456\"]\n  16 -> 45 [size =\"7571456\"]\n  16 -> 49 [size =\"7571456\"]\n  17 [size=\"100467200\", alpha=\"0.02\", expect_size=\"40186880\"] \n  17 -> 28 [size =\"40186880\"]\n  17 -> 37 [size =\"40186880\"]\n  17 -> 41 [size =\"40186880\"]\n  17 -> 46 [size =\"40186880\"]\n  18 [size=\"68418560\", alpha=\"0.20\", expect_size=\"27367424\"] \n  18 -> 27 [size =\"27367424\"]\n  18 -> 31 [size =\"27367424\"]\n  18 -> 36 [size =\"27367424\"]\n  18 -> 38 [size =\"27367424\"]\n  18 -> 39 [size =\"27367424\"]\n  18 -> 41 [size =\"27367424\"]\n  18 -> 42 [size =\"27367424\"]\n  18 -> 45 [size =\"27367424\"]\n  18 -> 46 [size =\"27367424\"]\n  18 -> 47 [size =\"27367424\"]\n  18 -> 49 [size =\"27367424\"]\n  18 -> 50 [size =\"27367424\"]\n  19 [size=\"51906560\", alpha=\"0.17\", expect_size=\"20762624\"] \n  19 -> 27 [size =\"20762624\"]\n  19 -> 33 [size =\"20762624\"]\n  19 -> 45 [size =\"20762624\"]\n  19 -> 46 [size =\"20762624\"]\n  19 -> 47 [size =\"20762624\"]\n  19 -> 50 [size =\"20762624\"]\n  20 [size=\"90713600\", alpha=\"0.18\", expect_size=\"36285440\"] \n  20 -> 34 [size =\"36285440\"]\n  20 -> 38 [size =\"36285440\"]\n  20 -> 41 [size =\"36285440\"]\n  20 -> 45 [size =\"36285440\"]\n  20 -> 46 [size =\"36285440\"]\n  20 -> 47 [size =\"36285440\"]\n  20 -> 48 [size =\"36285440\"]\n  20 -> 50 [size =\"36285440\"]\n  21 [size=\"33738240\", alpha=\"0.02\", expect_size=\"13495296\"] \n  21 -> 29 [size =\"13495296\"]\n  21 -> 34 [size =\"13495296\"]\n  21 -> 40 [size =\"13495296\"]\n  21 -> 41 [size =\"13495296\"]\n  22 [size=\"118231040\", alpha=\"0.08\", expect_size=\"47292416\"] \n  22 -> 28 [size =\"47292416\"]\n  22 -> 40 [size =\"47292416\"]\n  22 -> 40 [size =\"47292416\"]\n  22 -> 42 [size =\"47292416\"]\n  22 -> 44 [size =\"47292416\"]\n  22 -> 48 [size =\"47292416\"]\n  22 -> 50 [size =\"47292416\"]\n  23 [size=\"53079040\", alpha=\"0.09\", expect_size=\"21231616\"] \n  23 -> 28 [size =\"21231616\"]\n  23 -> 39 [size =\"21231616\"]\n  23 -> 40 [size =\"21231616\"]\n  23 -> 41 [size =\"21231616\"]\n  23 -> 42 [size =\"21231616\"]\n  23 -> 44 [size =\"21231616\"]\n  23 -> 50 [size =\"21231616\"]\n  24 [size=\"130035200\", alpha=\"0.06\", expect_size=\"52014080\"] \n  24 -> 31 [size =\"52014080\"]\n  24 -> 33 [size =\"52014080\"]\n  24 -> 37 [size =\"52014080\"]\n  24 -> 39 [size =\"52014080\"]\n  24 -> 40 [size =\"52014080\"]\n  24 -> 41 [size =\"52014080\"]\n  24 -> 42 [size =\"52014080\"]\n  24 -> 45 [size =\"52014080\"]\n  25 [size=\"96819200\", alpha=\"0.06\", expect_size=\"38727680\"] \n  25 -> 29 [size =\"38727680\"]\n  25 -> 30 [size =\"38727680\"]\n  25 -> 31 [size =\"38727680\"]\n  25 -> 34 [size =\"38727680\"]\n  25 -> 40 [size =\"38727680\"]\n  25 -> 41 [size =\"38727680\"]\n  25 -> 42 [size =\"38727680\"]\n  25 -> 45 [size =\"38727680\"]\n  25 -> 47 [size =\"38727680\"]\n  25 -> 50 [size =\"38727680\"]\n  26 [size=\"23395840\", alpha=\"0.05\", expect_size=\"9358336\"] \n  26 -> 27 [size =\"9358336\"]\n  26 -> 28 [size =\"9358336\"]\n  26 -> 34 [size =\"9358336\"]\n  26 -> 36 [size =\"9358336\"]\n  26 -> 38 [size =\"9358336\"]\n  26 -> 40 [size =\"9358336\"]\n  26 -> 43 [size =\"9358336\"]\n  26 -> 45 [size =\"9358336\"]\n  26 -> 46 [size =\"9358336\"]\n  26 -> 47 [size =\"9358336\"]\n  26 -> 48 [size =\"9358336\"]\n  26 -> 49 [size =\"9358336\"]\n  27 [size=\"19481600\", alpha=\"0.00\", expect_size=\"7792640\"] \n  28 [size=\"28400640\", alpha=\"0.20\", expect_size=\"11360256\"] \n  29 [size=\"26936320\", alpha=\"0.12\", expect_size=\"10774528\"] \n  30 [size=\"126865920\", alpha=\"0.00\", expect_size=\"50746368\"] \n  31 [size=\"117501440\", alpha=\"0.16\", expect_size=\"47000576\"] \n  32 [size=\"129515520\", alpha=\"0.05\", expect_size=\"51806208\"] \n  33 [size=\"58163200\", alpha=\"0.03\", expect_size=\"23265280\"] \n  34 [size=\"110110720\", alpha=\"0.05\", expect_size=\"44044288\"] \n  35 [size=\"30039040\", alpha=\"0.12\", expect_size=\"12015616\"] \n  36 [size=\"68152320\", alpha=\"0.01\", expect_size=\"27260928\"] \n  37 [size=\"96596480\", alpha=\"0.04\", expect_size=\"38638592\"] \n  38 [size=\"97013760\", alpha=\"0.17\", expect_size=\"38805504\"] \n  39 [size=\"95831040\", alpha=\"0.17\", expect_size=\"38332416\"] \n  40 [size=\"48962560\", alpha=\"0.09\", expect_size=\"19585024\"] \n  41 [size=\"49269760\", alpha=\"0.05\", expect_size=\"19707904\"] \n  42 [size=\"25643520\", alpha=\"0.19\", expect_size=\"10257408\"] \n  43 [size=\"55057920\", alpha=\"0.19\", expect_size=\"22023168\"] \n  44 [size=\"74641920\", alpha=\"0.20\", expect_size=\"29856768\"] \n  45 [size=\"103464960\", alpha=\"0.15\", expect_size=\"41385984\"] \n  46 [size=\"59092480\", alpha=\"0.11\", expect_size=\"23636992\"] \n  47 [size=\"65310720\", alpha=\"0.08\", expect_size=\"26124288\"] \n  48 [size=\"91514880\", alpha=\"0.08\", expect_size=\"36605952\"] \n  49 [size=\"75051520\", alpha=\"0.11\", expect_size=\"30020608\"] \n  50 [size=\"54720000\", alpha=\"0.12\", expect_size=\"21888000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.798.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77568000\", alpha=\"0.12\", expect_size=\"38784000\"] \n  1 -> 36 [size =\"38784000\"]\n  1 -> 37 [size =\"38784000\"]\n  1 -> 41 [size =\"38784000\"]\n  1 -> 44 [size =\"38784000\"]\n  1 -> 48 [size =\"38784000\"]\n  2 [size=\"62484480\", alpha=\"0.18\", expect_size=\"31242240\"] \n  2 -> 37 [size =\"31242240\"]\n  2 -> 39 [size =\"31242240\"]\n  2 -> 41 [size =\"31242240\"]\n  2 -> 42 [size =\"31242240\"]\n  2 -> 48 [size =\"31242240\"]\n  3 [size=\"91611136\", alpha=\"0.14\", expect_size=\"45805568\"] \n  3 -> 37 [size =\"45805568\"]\n  3 -> 42 [size =\"45805568\"]\n  3 -> 48 [size =\"45805568\"]\n  4 [size=\"72345600\", alpha=\"0.05\", expect_size=\"36172800\"] \n  4 -> 39 [size =\"36172800\"]\n  4 -> 44 [size =\"36172800\"]\n  4 -> 48 [size =\"36172800\"]\n  5 [size=\"67061760\", alpha=\"0.12\", expect_size=\"33530880\"] \n  5 -> 36 [size =\"33530880\"]\n  5 -> 37 [size =\"33530880\"]\n  5 -> 39 [size =\"33530880\"]\n  5 -> 41 [size =\"33530880\"]\n  5 -> 48 [size =\"33530880\"]\n  6 [size=\"99102720\", alpha=\"0.00\", expect_size=\"49551360\"] \n  6 -> 37 [size =\"49551360\"]\n  6 -> 39 [size =\"49551360\"]\n  6 -> 41 [size =\"49551360\"]\n  6 -> 45 [size =\"49551360\"]\n  6 -> 48 [size =\"49551360\"]\n  6 -> 49 [size =\"49551360\"]\n  6 -> 50 [size =\"49551360\"]\n  7 [size=\"103194624\", alpha=\"0.13\", expect_size=\"51597312\"] \n  7 -> 39 [size =\"51597312\"]\n  7 -> 39 [size =\"51597312\"]\n  7 -> 41 [size =\"51597312\"]\n  7 -> 48 [size =\"51597312\"]\n  7 -> 48 [size =\"51597312\"]\n  7 -> 49 [size =\"51597312\"]\n  7 -> 50 [size =\"51597312\"]\n  8 [size=\"53731328\", alpha=\"0.16\", expect_size=\"26865664\"] \n  8 -> 36 [size =\"26865664\"]\n  8 -> 37 [size =\"26865664\"]\n  8 -> 38 [size =\"26865664\"]\n  8 -> 42 [size =\"26865664\"]\n  8 -> 48 [size =\"26865664\"]\n  9 [size=\"61100032\", alpha=\"0.00\", expect_size=\"30550016\"] \n  9 -> 39 [size =\"30550016\"]\n  9 -> 48 [size =\"30550016\"]\n  10 [size=\"95770624\", alpha=\"0.18\", expect_size=\"47885312\"] \n  10 -> 36 [size =\"47885312\"]\n  10 -> 39 [size =\"47885312\"]\n  10 -> 45 [size =\"47885312\"]\n  10 -> 50 [size =\"47885312\"]\n  11 [size=\"89561088\", alpha=\"0.15\", expect_size=\"44780544\"] \n  11 -> 36 [size =\"44780544\"]\n  11 -> 38 [size =\"44780544\"]\n  11 -> 39 [size =\"44780544\"]\n  11 -> 44 [size =\"44780544\"]\n  11 -> 49 [size =\"44780544\"]\n  11 -> 50 [size =\"44780544\"]\n  12 [size=\"53805056\", alpha=\"0.14\", expect_size=\"26902528\"] \n  12 -> 42 [size =\"26902528\"]\n  12 -> 44 [size =\"26902528\"]\n  12 -> 45 [size =\"26902528\"]\n  12 -> 47 [size =\"26902528\"]\n  12 -> 50 [size =\"26902528\"]\n  12 -> 50 [size =\"26902528\"]\n  13 [size=\"44562432\", alpha=\"0.01\", expect_size=\"22281216\"] \n  13 -> 36 [size =\"22281216\"]\n  13 -> 49 [size =\"22281216\"]\n  13 -> 50 [size =\"22281216\"]\n  14 [size=\"17254400\", alpha=\"0.19\", expect_size=\"8627200\"] \n  14 -> 42 [size =\"8627200\"]\n  14 -> 45 [size =\"8627200\"]\n  15 [size=\"39880704\", alpha=\"0.10\", expect_size=\"19940352\"] \n  15 -> 37 [size =\"19940352\"]\n  15 -> 42 [size =\"19940352\"]\n  15 -> 48 [size =\"19940352\"]\n  16 [size=\"97224704\", alpha=\"0.20\", expect_size=\"48612352\"] \n  16 -> 36 [size =\"48612352\"]\n  16 -> 37 [size =\"48612352\"]\n  16 -> 38 [size =\"48612352\"]\n  16 -> 41 [size =\"48612352\"]\n  16 -> 42 [size =\"48612352\"]\n  16 -> 46 [size =\"48612352\"]\n  17 [size=\"98232320\", alpha=\"0.04\", expect_size=\"49116160\"] \n  17 -> 50 [size =\"49116160\"]\n  18 [size=\"63234048\", alpha=\"0.11\", expect_size=\"31617024\"] \n  18 -> 37 [size =\"31617024\"]\n  18 -> 41 [size =\"31617024\"]\n  18 -> 44 [size =\"31617024\"]\n  18 -> 47 [size =\"31617024\"]\n  19 [size=\"45600768\", alpha=\"0.16\", expect_size=\"22800384\"] \n  19 -> 41 [size =\"22800384\"]\n  20 [size=\"46331904\", alpha=\"0.12\", expect_size=\"23165952\"] \n  20 -> 41 [size =\"23165952\"]\n  20 -> 50 [size =\"23165952\"]\n  21 [size=\"37980160\", alpha=\"0.02\", expect_size=\"18990080\"] \n  21 -> 39 [size =\"18990080\"]\n  21 -> 41 [size =\"18990080\"]\n  21 -> 43 [size =\"18990080\"]\n  21 -> 45 [size =\"18990080\"]\n  21 -> 47 [size =\"18990080\"]\n  21 -> 50 [size =\"18990080\"]\n  22 [size=\"14358528\", alpha=\"0.03\", expect_size=\"7179264\"] \n  22 -> 39 [size =\"7179264\"]\n  22 -> 41 [size =\"7179264\"]\n  22 -> 43 [size =\"7179264\"]\n  22 -> 48 [size =\"7179264\"]\n  22 -> 50 [size =\"7179264\"]\n  23 [size=\"80574464\", alpha=\"0.02\", expect_size=\"40287232\"] \n  23 -> 37 [size =\"40287232\"]\n  23 -> 38 [size =\"40287232\"]\n  23 -> 41 [size =\"40287232\"]\n  23 -> 48 [size =\"40287232\"]\n  24 [size=\"87535616\", alpha=\"0.13\", expect_size=\"43767808\"] \n  24 -> 37 [size =\"43767808\"]\n  24 -> 38 [size =\"43767808\"]\n  24 -> 48 [size =\"43767808\"]\n  25 [size=\"81881088\", alpha=\"0.17\", expect_size=\"40940544\"] \n  25 -> 37 [size =\"40940544\"]\n  25 -> 38 [size =\"40940544\"]\n  25 -> 39 [size =\"40940544\"]\n  25 -> 41 [size =\"40940544\"]\n  25 -> 45 [size =\"40940544\"]\n  26 [size=\"36165632\", alpha=\"0.19\", expect_size=\"18082816\"] \n  26 -> 37 [size =\"18082816\"]\n  26 -> 38 [size =\"18082816\"]\n  26 -> 39 [size =\"18082816\"]\n  26 -> 41 [size =\"18082816\"]\n  26 -> 43 [size =\"18082816\"]\n  26 -> 45 [size =\"18082816\"]\n  27 [size=\"35004416\", alpha=\"0.01\", expect_size=\"17502208\"] \n  27 -> 37 [size =\"17502208\"]\n  27 -> 39 [size =\"17502208\"]\n  27 -> 39 [size =\"17502208\"]\n  27 -> 45 [size =\"17502208\"]\n  27 -> 48 [size =\"17502208\"]\n  28 [size=\"53932032\", alpha=\"0.12\", expect_size=\"26966016\"] \n  28 -> 37 [size =\"26966016\"]\n  28 -> 41 [size =\"26966016\"]\n  28 -> 44 [size =\"26966016\"]\n  28 -> 45 [size =\"26966016\"]\n  29 [size=\"12996608\", alpha=\"0.14\", expect_size=\"6498304\"] \n  29 -> 37 [size =\"6498304\"]\n  29 -> 38 [size =\"6498304\"]\n  29 -> 39 [size =\"6498304\"]\n  29 -> 48 [size =\"6498304\"]\n  29 -> 50 [size =\"6498304\"]\n  30 [size=\"89430016\", alpha=\"0.14\", expect_size=\"44715008\"] \n  30 -> 36 [size =\"44715008\"]\n  30 -> 39 [size =\"44715008\"]\n  30 -> 40 [size =\"44715008\"]\n  30 -> 41 [size =\"44715008\"]\n  30 -> 47 [size =\"44715008\"]\n  30 -> 49 [size =\"44715008\"]\n  30 -> 50 [size =\"44715008\"]\n  31 [size=\"52330496\", alpha=\"0.10\", expect_size=\"26165248\"] \n  31 -> 36 [size =\"26165248\"]\n  31 -> 41 [size =\"26165248\"]\n  31 -> 45 [size =\"26165248\"]\n  31 -> 48 [size =\"26165248\"]\n  31 -> 50 [size =\"26165248\"]\n  32 [size=\"63152128\", alpha=\"0.16\", expect_size=\"31576064\"] \n  32 -> 39 [size =\"31576064\"]\n  32 -> 41 [size =\"31576064\"]\n  32 -> 45 [size =\"31576064\"]\n  32 -> 48 [size =\"31576064\"]\n  33 [size=\"79525888\", alpha=\"0.09\", expect_size=\"39762944\"] \n  33 -> 36 [size =\"39762944\"]\n  33 -> 41 [size =\"39762944\"]\n  33 -> 45 [size =\"39762944\"]\n  33 -> 48 [size =\"39762944\"]\n  33 -> 49 [size =\"39762944\"]\n  34 [size=\"88203264\", alpha=\"0.04\", expect_size=\"44101632\"] \n  34 -> 36 [size =\"44101632\"]\n  34 -> 39 [size =\"44101632\"]\n  34 -> 41 [size =\"44101632\"]\n  34 -> 43 [size =\"44101632\"]\n  34 -> 48 [size =\"44101632\"]\n  34 -> 50 [size =\"44101632\"]\n  35 [size=\"56676352\", alpha=\"0.04\", expect_size=\"28338176\"] \n  35 -> 36 [size =\"28338176\"]\n  35 -> 37 [size =\"28338176\"]\n  35 -> 39 [size =\"28338176\"]\n  35 -> 41 [size =\"28338176\"]\n  35 -> 42 [size =\"28338176\"]\n  35 -> 44 [size =\"28338176\"]\n  35 -> 48 [size =\"28338176\"]\n  36 [size=\"41521152\", alpha=\"0.03\", expect_size=\"20760576\"] \n  37 [size=\"36978688\", alpha=\"0.01\", expect_size=\"18489344\"] \n  38 [size=\"41392128\", alpha=\"0.10\", expect_size=\"20696064\"] \n  39 [size=\"98004992\", alpha=\"0.06\", expect_size=\"49002496\"] \n  40 [size=\"68689920\", alpha=\"0.10\", expect_size=\"34344960\"] \n  41 [size=\"38733824\", alpha=\"0.20\", expect_size=\"19366912\"] \n  42 [size=\"87212032\", alpha=\"0.10\", expect_size=\"43606016\"] \n  43 [size=\"68702208\", alpha=\"0.16\", expect_size=\"34351104\"] \n  44 [size=\"17283072\", alpha=\"0.17\", expect_size=\"8641536\"] \n  45 [size=\"34095104\", alpha=\"0.14\", expect_size=\"17047552\"] \n  46 [size=\"54163456\", alpha=\"0.17\", expect_size=\"27081728\"] \n  47 [size=\"69853184\", alpha=\"0.04\", expect_size=\"34926592\"] \n  48 [size=\"74545152\", alpha=\"0.01\", expect_size=\"37272576\"] \n  49 [size=\"26611712\", alpha=\"0.18\", expect_size=\"13305856\"] \n  50 [size=\"55543808\", alpha=\"0.12\", expect_size=\"27771904\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.799.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90188800\", alpha=\"0.07\", expect_size=\"36075520\"] \n  1 -> 2 [size =\"36075520\"]\n  2 [size=\"35279360\", alpha=\"0.03\", expect_size=\"14111744\"] \n  2 -> 3 [size =\"14111744\"]\n  3 [size=\"67289600\", alpha=\"0.06\", expect_size=\"26915840\"] \n  3 -> 4 [size =\"26915840\"]\n  4 [size=\"30978560\", alpha=\"0.07\", expect_size=\"12391424\"] \n  4 -> 5 [size =\"12391424\"]\n  5 [size=\"126812160\", alpha=\"0.04\", expect_size=\"50724864\"] \n  5 -> 6 [size =\"50724864\"]\n  6 [size=\"102095360\", alpha=\"0.00\", expect_size=\"40838144\"] \n  6 -> 7 [size =\"40838144\"]\n  7 [size=\"97853440\", alpha=\"0.07\", expect_size=\"39141376\"] \n  7 -> 8 [size =\"39141376\"]\n  8 [size=\"39467520\", alpha=\"0.12\", expect_size=\"15787008\"] \n  8 -> 9 [size =\"15787008\"]\n  9 [size=\"59937280\", alpha=\"0.20\", expect_size=\"23974912\"] \n  9 -> 10 [size =\"23974912\"]\n  10 [size=\"20756480\", alpha=\"0.17\", expect_size=\"8302592\"] \n  10 -> 11 [size =\"8302592\"]\n  11 [size=\"82810880\", alpha=\"0.06\", expect_size=\"33124352\"] \n  11 -> 12 [size =\"33124352\"]\n  12 [size=\"123760640\", alpha=\"0.10\", expect_size=\"49504256\"] \n  12 -> 13 [size =\"49504256\"]\n  13 [size=\"26078720\", alpha=\"0.12\", expect_size=\"10431488\"] \n  13 -> 14 [size =\"10431488\"]\n  14 [size=\"62269440\", alpha=\"0.15\", expect_size=\"24907776\"] \n  14 -> 15 [size =\"24907776\"]\n  15 [size=\"101928960\", alpha=\"0.15\", expect_size=\"40771584\"] \n  15 -> 16 [size =\"40771584\"]\n  16 [size=\"123404800\", alpha=\"0.09\", expect_size=\"49361920\"] \n  16 -> 17 [size =\"49361920\"]\n  17 [size=\"125875200\", alpha=\"0.10\", expect_size=\"50350080\"] \n  17 -> 18 [size =\"50350080\"]\n  18 [size=\"46958080\", alpha=\"0.10\", expect_size=\"18783232\"] \n  18 -> 19 [size =\"18783232\"]\n  19 [size=\"120212480\", alpha=\"0.07\", expect_size=\"48084992\"] \n  19 -> 20 [size =\"48084992\"]\n  20 [size=\"119562240\", alpha=\"0.11\", expect_size=\"47824896\"] \n  20 -> 21 [size =\"47824896\"]\n  21 [size=\"100285440\", alpha=\"0.08\", expect_size=\"40114176\"] \n  21 -> 22 [size =\"40114176\"]\n  22 [size=\"18534400\", alpha=\"0.09\", expect_size=\"7413760\"] \n  22 -> 23 [size =\"7413760\"]\n  23 [size=\"75074560\", alpha=\"0.18\", expect_size=\"30029824\"] \n  23 -> 24 [size =\"30029824\"]\n  24 [size=\"28961280\", alpha=\"0.11\", expect_size=\"11584512\"] \n  24 -> 25 [size =\"11584512\"]\n  25 [size=\"120048640\", alpha=\"0.03\", expect_size=\"48019456\"] \n  25 -> 26 [size =\"48019456\"]\n  26 [size=\"88076800\", alpha=\"0.10\", expect_size=\"35230720\"] \n  26 -> 27 [size =\"35230720\"]\n  27 [size=\"25433600\", alpha=\"0.12\", expect_size=\"10173440\"] \n  27 -> 28 [size =\"10173440\"]\n  28 [size=\"82570240\", alpha=\"0.18\", expect_size=\"33028096\"] \n  28 -> 29 [size =\"33028096\"]\n  29 [size=\"24151040\", alpha=\"0.12\", expect_size=\"9660416\"] \n  29 -> 30 [size =\"9660416\"]\n  30 [size=\"68224000\", alpha=\"0.07\", expect_size=\"27289600\"] \n  30 -> 31 [size =\"27289600\"]\n  31 [size=\"16514560\", alpha=\"0.14\", expect_size=\"6605824\"] \n  31 -> 32 [size =\"6605824\"]\n  32 [size=\"64071680\", alpha=\"0.00\", expect_size=\"25628672\"] \n  32 -> 33 [size =\"25628672\"]\n  33 [size=\"115102720\", alpha=\"0.08\", expect_size=\"46041088\"] \n  33 -> 34 [size =\"46041088\"]\n  34 [size=\"105825280\", alpha=\"0.04\", expect_size=\"42330112\"] \n  34 -> 35 [size =\"42330112\"]\n  35 [size=\"54115840\", alpha=\"0.16\", expect_size=\"21646336\"] \n  35 -> 36 [size =\"21646336\"]\n  36 [size=\"73679360\", alpha=\"0.06\", expect_size=\"29471744\"] \n  36 -> 37 [size =\"29471744\"]\n  37 [size=\"17574400\", alpha=\"0.15\", expect_size=\"7029760\"] \n  37 -> 38 [size =\"7029760\"]\n  38 [size=\"88514560\", alpha=\"0.10\", expect_size=\"35405824\"] \n  38 -> 39 [size =\"35405824\"]\n  39 [size=\"76930560\", alpha=\"0.03\", expect_size=\"30772224\"] \n  39 -> 40 [size =\"30772224\"]\n  40 [size=\"29652480\", alpha=\"0.15\", expect_size=\"11860992\"] \n  40 -> 41 [size =\"11860992\"]\n  41 [size=\"72296960\", alpha=\"0.01\", expect_size=\"28918784\"] \n  41 -> 42 [size =\"28918784\"]\n  42 [size=\"38635520\", alpha=\"0.07\", expect_size=\"15454208\"] \n  42 -> 43 [size =\"15454208\"]\n  43 [size=\"39324160\", alpha=\"0.05\", expect_size=\"15729664\"] \n  43 -> 44 [size =\"15729664\"]\n  44 [size=\"87334400\", alpha=\"0.05\", expect_size=\"34933760\"] \n  44 -> 45 [size =\"34933760\"]\n  45 [size=\"113866240\", alpha=\"0.03\", expect_size=\"45546496\"] \n  45 -> 46 [size =\"45546496\"]\n  46 [size=\"89774080\", alpha=\"0.14\", expect_size=\"35909632\"] \n  46 -> 47 [size =\"35909632\"]\n  47 [size=\"125358080\", alpha=\"0.07\", expect_size=\"50143232\"] \n  47 -> 48 [size =\"50143232\"]\n  48 [size=\"97461760\", alpha=\"0.12\", expect_size=\"38984704\"] \n  48 -> 49 [size =\"38984704\"]\n  49 [size=\"39933440\", alpha=\"0.18\", expect_size=\"15973376\"] \n  49 -> 50 [size =\"15973376\"]\n  50 [size=\"59878400\", alpha=\"0.14\", expect_size=\"23951360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107154773\", alpha=\"0.18\", expect_size=\"32146432\"] \n  1 -> 12 [size =\"32146432\"]\n  1 -> 15 [size =\"32146432\"]\n  1 -> 18 [size =\"32146432\"]\n  1 -> 25 [size =\"32146432\"]\n  2 [size=\"74294613\", alpha=\"0.01\", expect_size=\"22288384\"] \n  2 -> 11 [size =\"22288384\"]\n  2 -> 14 [size =\"22288384\"]\n  2 -> 18 [size =\"22288384\"]\n  2 -> 19 [size =\"22288384\"]\n  2 -> 20 [size =\"22288384\"]\n  2 -> 24 [size =\"22288384\"]\n  2 -> 25 [size =\"22288384\"]\n  2 -> 26 [size =\"22288384\"]\n  2 -> 27 [size =\"22288384\"]\n  2 -> 28 [size =\"22288384\"]\n  3 [size=\"140318720\", alpha=\"0.15\", expect_size=\"42095616\"] \n  3 -> 19 [size =\"42095616\"]\n  3 -> 20 [size =\"42095616\"]\n  3 -> 23 [size =\"42095616\"]\n  3 -> 26 [size =\"42095616\"]\n  4 [size=\"125699413\", alpha=\"0.16\", expect_size=\"37709824\"] \n  4 -> 11 [size =\"37709824\"]\n  4 -> 13 [size =\"37709824\"]\n  4 -> 14 [size =\"37709824\"]\n  4 -> 17 [size =\"37709824\"]\n  4 -> 18 [size =\"37709824\"]\n  4 -> 19 [size =\"37709824\"]\n  4 -> 20 [size =\"37709824\"]\n  4 -> 24 [size =\"37709824\"]\n  4 -> 28 [size =\"37709824\"]\n  5 [size=\"153559040\", alpha=\"0.18\", expect_size=\"46067712\"] \n  5 -> 10 [size =\"46067712\"]\n  5 -> 12 [size =\"46067712\"]\n  5 -> 13 [size =\"46067712\"]\n  5 -> 17 [size =\"46067712\"]\n  5 -> 18 [size =\"46067712\"]\n  5 -> 20 [size =\"46067712\"]\n  5 -> 21 [size =\"46067712\"]\n  5 -> 23 [size =\"46067712\"]\n  5 -> 28 [size =\"46067712\"]\n  6 [size=\"137297920\", alpha=\"0.01\", expect_size=\"41189376\"] \n  6 -> 10 [size =\"41189376\"]\n  6 -> 14 [size =\"41189376\"]\n  6 -> 17 [size =\"41189376\"]\n  6 -> 19 [size =\"41189376\"]\n  6 -> 21 [size =\"41189376\"]\n  6 -> 23 [size =\"41189376\"]\n  6 -> 24 [size =\"41189376\"]\n  7 [size=\"156525227\", alpha=\"0.18\", expect_size=\"46957568\"] \n  7 -> 12 [size =\"46957568\"]\n  7 -> 13 [size =\"46957568\"]\n  7 -> 26 [size =\"46957568\"]\n  7 -> 28 [size =\"46957568\"]\n  8 [size=\"101345280\", alpha=\"0.08\", expect_size=\"30403584\"] \n  8 -> 10 [size =\"30403584\"]\n  8 -> 14 [size =\"30403584\"]\n  8 -> 15 [size =\"30403584\"]\n  8 -> 19 [size =\"30403584\"]\n  8 -> 21 [size =\"30403584\"]\n  8 -> 22 [size =\"30403584\"]\n  8 -> 26 [size =\"30403584\"]\n  9 [size=\"54811307\", alpha=\"0.17\", expect_size=\"16443392\"] \n  9 -> 16 [size =\"16443392\"]\n  9 -> 21 [size =\"16443392\"]\n  9 -> 23 [size =\"16443392\"]\n  10 [size=\"78161920\", alpha=\"0.05\", expect_size=\"23448576\"] \n  10 -> 34 [size =\"23448576\"]\n  10 -> 36 [size =\"23448576\"]\n  10 -> 37 [size =\"23448576\"]\n  10 -> 39 [size =\"23448576\"]\n  10 -> 41 [size =\"23448576\"]\n  11 [size=\"19449173\", alpha=\"0.13\", expect_size=\"5834752\"] \n  11 -> 37 [size =\"5834752\"]\n  11 -> 40 [size =\"5834752\"]\n  12 [size=\"163467947\", alpha=\"0.01\", expect_size=\"49040384\"] \n  12 -> 36 [size =\"49040384\"]\n  12 -> 38 [size =\"49040384\"]\n  12 -> 39 [size =\"49040384\"]\n  12 -> 40 [size =\"49040384\"]\n  12 -> 41 [size =\"49040384\"]\n  13 [size=\"168140800\", alpha=\"0.08\", expect_size=\"50442240\"] \n  13 -> 36 [size =\"50442240\"]\n  13 -> 37 [size =\"50442240\"]\n  13 -> 39 [size =\"50442240\"]\n  13 -> 40 [size =\"50442240\"]\n  13 -> 41 [size =\"50442240\"]\n  14 [size=\"127197867\", alpha=\"0.15\", expect_size=\"38159360\"] \n  14 -> 32 [size =\"38159360\"]\n  14 -> 36 [size =\"38159360\"]\n  14 -> 38 [size =\"38159360\"]\n  14 -> 39 [size =\"38159360\"]\n  14 -> 40 [size =\"38159360\"]\n  15 [size=\"92962133\", alpha=\"0.02\", expect_size=\"27888640\"] \n  15 -> 30 [size =\"27888640\"]\n  15 -> 39 [size =\"27888640\"]\n  15 -> 40 [size =\"27888640\"]\n  16 [size=\"79616000\", alpha=\"0.16\", expect_size=\"23884800\"] \n  16 -> 40 [size =\"23884800\"]\n  17 [size=\"86231040\", alpha=\"0.09\", expect_size=\"25869312\"] \n  17 -> 31 [size =\"25869312\"]\n  17 -> 34 [size =\"25869312\"]\n  17 -> 35 [size =\"25869312\"]\n  17 -> 37 [size =\"25869312\"]\n  17 -> 38 [size =\"25869312\"]\n  17 -> 40 [size =\"25869312\"]\n  18 [size=\"67225600\", alpha=\"0.08\", expect_size=\"20167680\"] \n  18 -> 32 [size =\"20167680\"]\n  18 -> 35 [size =\"20167680\"]\n  18 -> 37 [size =\"20167680\"]\n  19 [size=\"126515200\", alpha=\"0.11\", expect_size=\"37954560\"] \n  19 -> 29 [size =\"37954560\"]\n  19 -> 32 [size =\"37954560\"]\n  19 -> 37 [size =\"37954560\"]\n  19 -> 38 [size =\"37954560\"]\n  20 [size=\"99795627\", alpha=\"0.09\", expect_size=\"29938688\"] \n  20 -> 32 [size =\"29938688\"]\n  20 -> 33 [size =\"29938688\"]\n  20 -> 37 [size =\"29938688\"]\n  20 -> 38 [size =\"29938688\"]\n  21 [size=\"138987520\", alpha=\"0.20\", expect_size=\"41696256\"] \n  21 -> 35 [size =\"41696256\"]\n  21 -> 38 [size =\"41696256\"]\n  22 [size=\"84858880\", alpha=\"0.17\", expect_size=\"25457664\"] \n  22 -> 32 [size =\"25457664\"]\n  22 -> 37 [size =\"25457664\"]\n  23 [size=\"89419093\", alpha=\"0.10\", expect_size=\"26825728\"] \n  23 -> 32 [size =\"26825728\"]\n  23 -> 34 [size =\"26825728\"]\n  23 -> 41 [size =\"26825728\"]\n  24 [size=\"148439040\", alpha=\"0.17\", expect_size=\"44531712\"] \n  24 -> 30 [size =\"44531712\"]\n  24 -> 32 [size =\"44531712\"]\n  24 -> 34 [size =\"44531712\"]\n  24 -> 35 [size =\"44531712\"]\n  24 -> 38 [size =\"44531712\"]\n  24 -> 40 [size =\"44531712\"]\n  24 -> 41 [size =\"44531712\"]\n  25 [size=\"107178667\", alpha=\"0.01\", expect_size=\"32153600\"] \n  25 -> 34 [size =\"32153600\"]\n  25 -> 35 [size =\"32153600\"]\n  25 -> 39 [size =\"32153600\"]\n  26 [size=\"123125760\", alpha=\"0.20\", expect_size=\"36937728\"] \n  26 -> 34 [size =\"36937728\"]\n  26 -> 40 [size =\"36937728\"]\n  27 [size=\"92869973\", alpha=\"0.17\", expect_size=\"27860992\"] \n  27 -> 32 [size =\"27860992\"]\n  27 -> 34 [size =\"27860992\"]\n  27 -> 37 [size =\"27860992\"]\n  27 -> 38 [size =\"27860992\"]\n  27 -> 41 [size =\"27860992\"]\n  28 [size=\"165218987\", alpha=\"0.04\", expect_size=\"49565696\"] \n  28 -> 30 [size =\"49565696\"]\n  28 -> 34 [size =\"49565696\"]\n  28 -> 37 [size =\"49565696\"]\n  29 [size=\"69379413\", alpha=\"0.17\", expect_size=\"20813824\"] \n  29 -> 42 [size =\"20813824\"]\n  29 -> 43 [size =\"20813824\"]\n  29 -> 45 [size =\"20813824\"]\n  29 -> 46 [size =\"20813824\"]\n  30 [size=\"153995947\", alpha=\"0.17\", expect_size=\"46198784\"] \n  30 -> 43 [size =\"46198784\"]\n  30 -> 45 [size =\"46198784\"]\n  30 -> 45 [size =\"46198784\"]\n  30 -> 46 [size =\"46198784\"]\n  30 -> 48 [size =\"46198784\"]\n  31 [size=\"71205547\", alpha=\"0.17\", expect_size=\"21361664\"] \n  31 -> 46 [size =\"21361664\"]\n  31 -> 47 [size =\"21361664\"]\n  32 [size=\"67976533\", alpha=\"0.16\", expect_size=\"20392960\"] \n  32 -> 43 [size =\"20392960\"]\n  32 -> 44 [size =\"20392960\"]\n  33 [size=\"43847680\", alpha=\"0.14\", expect_size=\"13154304\"] \n  33 -> 47 [size =\"13154304\"]\n  33 -> 48 [size =\"13154304\"]\n  33 -> 49 [size =\"13154304\"]\n  34 [size=\"121661440\", alpha=\"0.06\", expect_size=\"36498432\"] \n  34 -> 44 [size =\"36498432\"]\n  34 -> 46 [size =\"36498432\"]\n  34 -> 47 [size =\"36498432\"]\n  34 -> 50 [size =\"36498432\"]\n  35 [size=\"95071573\", alpha=\"0.08\", expect_size=\"28521472\"] \n  35 -> 42 [size =\"28521472\"]\n  35 -> 43 [size =\"28521472\"]\n  35 -> 44 [size =\"28521472\"]\n  35 -> 46 [size =\"28521472\"]\n  36 [size=\"100154027\", alpha=\"0.17\", expect_size=\"30046208\"] \n  36 -> 44 [size =\"30046208\"]\n  36 -> 45 [size =\"30046208\"]\n  36 -> 49 [size =\"30046208\"]\n  37 [size=\"99457707\", alpha=\"0.16\", expect_size=\"29837312\"] \n  37 -> 42 [size =\"29837312\"]\n  37 -> 44 [size =\"29837312\"]\n  37 -> 48 [size =\"29837312\"]\n  38 [size=\"74734933\", alpha=\"0.00\", expect_size=\"22420480\"] \n  38 -> 42 [size =\"22420480\"]\n  38 -> 43 [size =\"22420480\"]\n  38 -> 47 [size =\"22420480\"]\n  39 [size=\"109864960\", alpha=\"0.19\", expect_size=\"32959488\"] \n  39 -> 43 [size =\"32959488\"]\n  39 -> 47 [size =\"32959488\"]\n  40 [size=\"84889600\", alpha=\"0.07\", expect_size=\"25466880\"] \n  40 -> 42 [size =\"25466880\"]\n  40 -> 44 [size =\"25466880\"]\n  40 -> 45 [size =\"25466880\"]\n  40 -> 48 [size =\"25466880\"]\n  40 -> 49 [size =\"25466880\"]\n  41 [size=\"60504747\", alpha=\"0.12\", expect_size=\"18151424\"] \n  41 -> 45 [size =\"18151424\"]\n  42 [size=\"38683307\", alpha=\"0.05\", expect_size=\"11604992\"] \n  43 [size=\"165420373\", alpha=\"0.07\", expect_size=\"49626112\"] \n  44 [size=\"119517867\", alpha=\"0.05\", expect_size=\"35855360\"] \n  45 [size=\"167994027\", alpha=\"0.16\", expect_size=\"50398208\"] \n  46 [size=\"71758507\", alpha=\"0.19\", expect_size=\"21527552\"] \n  47 [size=\"50237440\", alpha=\"0.12\", expect_size=\"15071232\"] \n  48 [size=\"172192427\", alpha=\"0.04\", expect_size=\"51657728\"] \n  49 [size=\"172793173\", alpha=\"0.03\", expect_size=\"51837952\"] \n  50 [size=\"161088853\", alpha=\"0.19\", expect_size=\"48326656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38602240\", alpha=\"0.14\", expect_size=\"15440896\"] \n  1 -> 19 [size =\"15440896\"]\n  1 -> 27 [size =\"15440896\"]\n  1 -> 31 [size =\"15440896\"]\n  1 -> 33 [size =\"15440896\"]\n  1 -> 34 [size =\"15440896\"]\n  2 [size=\"118735360\", alpha=\"0.17\", expect_size=\"47494144\"] \n  2 -> 21 [size =\"47494144\"]\n  2 -> 31 [size =\"47494144\"]\n  2 -> 31 [size =\"47494144\"]\n  2 -> 33 [size =\"47494144\"]\n  2 -> 34 [size =\"47494144\"]\n  2 -> 36 [size =\"47494144\"]\n  3 [size=\"38384640\", alpha=\"0.13\", expect_size=\"15353856\"] \n  3 -> 21 [size =\"15353856\"]\n  3 -> 29 [size =\"15353856\"]\n  3 -> 30 [size =\"15353856\"]\n  3 -> 31 [size =\"15353856\"]\n  3 -> 34 [size =\"15353856\"]\n  4 [size=\"74362880\", alpha=\"0.13\", expect_size=\"29745152\"] \n  4 -> 21 [size =\"29745152\"]\n  4 -> 28 [size =\"29745152\"]\n  4 -> 30 [size =\"29745152\"]\n  4 -> 31 [size =\"29745152\"]\n  4 -> 33 [size =\"29745152\"]\n  4 -> 35 [size =\"29745152\"]\n  5 [size=\"126376960\", alpha=\"0.08\", expect_size=\"50550784\"] \n  5 -> 24 [size =\"50550784\"]\n  5 -> 31 [size =\"50550784\"]\n  5 -> 33 [size =\"50550784\"]\n  6 [size=\"40709120\", alpha=\"0.02\", expect_size=\"16283648\"] \n  6 -> 22 [size =\"16283648\"]\n  6 -> 23 [size =\"16283648\"]\n  6 -> 34 [size =\"16283648\"]\n  6 -> 36 [size =\"16283648\"]\n  7 [size=\"54481920\", alpha=\"0.02\", expect_size=\"21792768\"] \n  7 -> 23 [size =\"21792768\"]\n  7 -> 25 [size =\"21792768\"]\n  7 -> 28 [size =\"21792768\"]\n  7 -> 31 [size =\"21792768\"]\n  7 -> 32 [size =\"21792768\"]\n  7 -> 35 [size =\"21792768\"]\n  8 [size=\"65459200\", alpha=\"0.02\", expect_size=\"26183680\"] \n  8 -> 19 [size =\"26183680\"]\n  8 -> 20 [size =\"26183680\"]\n  8 -> 23 [size =\"26183680\"]\n  8 -> 30 [size =\"26183680\"]\n  8 -> 32 [size =\"26183680\"]\n  8 -> 36 [size =\"26183680\"]\n  9 [size=\"76057600\", alpha=\"0.16\", expect_size=\"30423040\"] \n  9 -> 21 [size =\"30423040\"]\n  9 -> 22 [size =\"30423040\"]\n  9 -> 26 [size =\"30423040\"]\n  9 -> 28 [size =\"30423040\"]\n  9 -> 29 [size =\"30423040\"]\n  9 -> 34 [size =\"30423040\"]\n  9 -> 35 [size =\"30423040\"]\n  10 [size=\"18073600\", alpha=\"0.12\", expect_size=\"7229440\"] \n  10 -> 22 [size =\"7229440\"]\n  10 -> 23 [size =\"7229440\"]\n  10 -> 25 [size =\"7229440\"]\n  10 -> 28 [size =\"7229440\"]\n  10 -> 30 [size =\"7229440\"]\n  11 [size=\"17530880\", alpha=\"0.13\", expect_size=\"7012352\"] \n  11 -> 19 [size =\"7012352\"]\n  11 -> 20 [size =\"7012352\"]\n  11 -> 22 [size =\"7012352\"]\n  11 -> 28 [size =\"7012352\"]\n  11 -> 30 [size =\"7012352\"]\n  11 -> 32 [size =\"7012352\"]\n  11 -> 33 [size =\"7012352\"]\n  12 [size=\"100052480\", alpha=\"0.20\", expect_size=\"40020992\"] \n  12 -> 19 [size =\"40020992\"]\n  12 -> 22 [size =\"40020992\"]\n  12 -> 23 [size =\"40020992\"]\n  12 -> 27 [size =\"40020992\"]\n  12 -> 28 [size =\"40020992\"]\n  12 -> 31 [size =\"40020992\"]\n  13 [size=\"83251200\", alpha=\"0.02\", expect_size=\"33300480\"] \n  13 -> 19 [size =\"33300480\"]\n  13 -> 28 [size =\"33300480\"]\n  13 -> 33 [size =\"33300480\"]\n  13 -> 34 [size =\"33300480\"]\n  14 [size=\"42270720\", alpha=\"0.05\", expect_size=\"16908288\"] \n  14 -> 19 [size =\"16908288\"]\n  14 -> 20 [size =\"16908288\"]\n  14 -> 21 [size =\"16908288\"]\n  14 -> 22 [size =\"16908288\"]\n  14 -> 25 [size =\"16908288\"]\n  14 -> 30 [size =\"16908288\"]\n  14 -> 33 [size =\"16908288\"]\n  14 -> 35 [size =\"16908288\"]\n  14 -> 36 [size =\"16908288\"]\n  15 [size=\"118484480\", alpha=\"0.05\", expect_size=\"47393792\"] \n  15 -> 19 [size =\"47393792\"]\n  15 -> 20 [size =\"47393792\"]\n  15 -> 21 [size =\"47393792\"]\n  15 -> 25 [size =\"47393792\"]\n  15 -> 28 [size =\"47393792\"]\n  15 -> 29 [size =\"47393792\"]\n  15 -> 30 [size =\"47393792\"]\n  15 -> 33 [size =\"47393792\"]\n  15 -> 35 [size =\"47393792\"]\n  15 -> 36 [size =\"47393792\"]\n  16 [size=\"48865280\", alpha=\"0.06\", expect_size=\"19546112\"] \n  16 -> 19 [size =\"19546112\"]\n  16 -> 20 [size =\"19546112\"]\n  16 -> 22 [size =\"19546112\"]\n  16 -> 30 [size =\"19546112\"]\n  16 -> 33 [size =\"19546112\"]\n  16 -> 34 [size =\"19546112\"]\n  16 -> 35 [size =\"19546112\"]\n  17 [size=\"62612480\", alpha=\"0.18\", expect_size=\"25044992\"] \n  17 -> 19 [size =\"25044992\"]\n  17 -> 20 [size =\"25044992\"]\n  17 -> 22 [size =\"25044992\"]\n  17 -> 28 [size =\"25044992\"]\n  17 -> 33 [size =\"25044992\"]\n  17 -> 34 [size =\"25044992\"]\n  17 -> 36 [size =\"25044992\"]\n  18 [size=\"72291840\", alpha=\"0.19\", expect_size=\"28916736\"] \n  18 -> 19 [size =\"28916736\"]\n  18 -> 20 [size =\"28916736\"]\n  18 -> 26 [size =\"28916736\"]\n  18 -> 27 [size =\"28916736\"]\n  18 -> 28 [size =\"28916736\"]\n  18 -> 30 [size =\"28916736\"]\n  18 -> 34 [size =\"28916736\"]\n  19 [size=\"86763520\", alpha=\"0.10\", expect_size=\"34705408\"] \n  19 -> 42 [size =\"34705408\"]\n  19 -> 43 [size =\"34705408\"]\n  19 -> 46 [size =\"34705408\"]\n  19 -> 47 [size =\"34705408\"]\n  20 [size=\"65776640\", alpha=\"0.16\", expect_size=\"26310656\"] \n  20 -> 37 [size =\"26310656\"]\n  20 -> 39 [size =\"26310656\"]\n  20 -> 41 [size =\"26310656\"]\n  20 -> 42 [size =\"26310656\"]\n  20 -> 43 [size =\"26310656\"]\n  20 -> 46 [size =\"26310656\"]\n  20 -> 50 [size =\"26310656\"]\n  21 [size=\"17192960\", alpha=\"0.06\", expect_size=\"6877184\"] \n  21 -> 37 [size =\"6877184\"]\n  21 -> 38 [size =\"6877184\"]\n  21 -> 39 [size =\"6877184\"]\n  21 -> 42 [size =\"6877184\"]\n  21 -> 44 [size =\"6877184\"]\n  21 -> 45 [size =\"6877184\"]\n  21 -> 46 [size =\"6877184\"]\n  21 -> 48 [size =\"6877184\"]\n  22 [size=\"94120960\", alpha=\"0.15\", expect_size=\"37648384\"] \n  22 -> 38 [size =\"37648384\"]\n  22 -> 39 [size =\"37648384\"]\n  22 -> 42 [size =\"37648384\"]\n  22 -> 46 [size =\"37648384\"]\n  22 -> 47 [size =\"37648384\"]\n  23 [size=\"92856320\", alpha=\"0.07\", expect_size=\"37142528\"] \n  23 -> 37 [size =\"37142528\"]\n  23 -> 39 [size =\"37142528\"]\n  23 -> 41 [size =\"37142528\"]\n  23 -> 42 [size =\"37142528\"]\n  23 -> 44 [size =\"37142528\"]\n  23 -> 50 [size =\"37142528\"]\n  24 [size=\"107568640\", alpha=\"0.10\", expect_size=\"43027456\"] \n  24 -> 39 [size =\"43027456\"]\n  24 -> 41 [size =\"43027456\"]\n  24 -> 44 [size =\"43027456\"]\n  25 [size=\"20067840\", alpha=\"0.12\", expect_size=\"8027136\"] \n  25 -> 37 [size =\"8027136\"]\n  25 -> 42 [size =\"8027136\"]\n  25 -> 45 [size =\"8027136\"]\n  25 -> 46 [size =\"8027136\"]\n  26 [size=\"51281920\", alpha=\"0.19\", expect_size=\"20512768\"] \n  26 -> 37 [size =\"20512768\"]\n  26 -> 45 [size =\"20512768\"]\n  26 -> 46 [size =\"20512768\"]\n  26 -> 46 [size =\"20512768\"]\n  26 -> 50 [size =\"20512768\"]\n  27 [size=\"89213440\", alpha=\"0.13\", expect_size=\"35685376\"] \n  27 -> 38 [size =\"35685376\"]\n  27 -> 40 [size =\"35685376\"]\n  27 -> 41 [size =\"35685376\"]\n  27 -> 42 [size =\"35685376\"]\n  27 -> 44 [size =\"35685376\"]\n  27 -> 45 [size =\"35685376\"]\n  27 -> 49 [size =\"35685376\"]\n  27 -> 50 [size =\"35685376\"]\n  28 [size=\"77596160\", alpha=\"0.16\", expect_size=\"31038464\"] \n  28 -> 37 [size =\"31038464\"]\n  28 -> 38 [size =\"31038464\"]\n  28 -> 41 [size =\"31038464\"]\n  28 -> 42 [size =\"31038464\"]\n  28 -> 49 [size =\"31038464\"]\n  28 -> 50 [size =\"31038464\"]\n  29 [size=\"71188480\", alpha=\"0.09\", expect_size=\"28475392\"] \n  29 -> 39 [size =\"28475392\"]\n  29 -> 42 [size =\"28475392\"]\n  29 -> 45 [size =\"28475392\"]\n  29 -> 46 [size =\"28475392\"]\n  29 -> 50 [size =\"28475392\"]\n  30 [size=\"129840640\", alpha=\"0.03\", expect_size=\"51936256\"] \n  30 -> 38 [size =\"51936256\"]\n  30 -> 39 [size =\"51936256\"]\n  30 -> 40 [size =\"51936256\"]\n  30 -> 42 [size =\"51936256\"]\n  30 -> 43 [size =\"51936256\"]\n  30 -> 45 [size =\"51936256\"]\n  30 -> 48 [size =\"51936256\"]\n  30 -> 50 [size =\"51936256\"]\n  31 [size=\"106086400\", alpha=\"0.18\", expect_size=\"42434560\"] \n  31 -> 39 [size =\"42434560\"]\n  31 -> 41 [size =\"42434560\"]\n  31 -> 44 [size =\"42434560\"]\n  31 -> 46 [size =\"42434560\"]\n  31 -> 50 [size =\"42434560\"]\n  32 [size=\"25423360\", alpha=\"0.08\", expect_size=\"10169344\"] \n  32 -> 37 [size =\"10169344\"]\n  32 -> 44 [size =\"10169344\"]\n  32 -> 46 [size =\"10169344\"]\n  32 -> 50 [size =\"10169344\"]\n  33 [size=\"111444480\", alpha=\"0.09\", expect_size=\"44577792\"] \n  33 -> 37 [size =\"44577792\"]\n  33 -> 38 [size =\"44577792\"]\n  33 -> 39 [size =\"44577792\"]\n  33 -> 43 [size =\"44577792\"]\n  33 -> 44 [size =\"44577792\"]\n  33 -> 45 [size =\"44577792\"]\n  33 -> 46 [size =\"44577792\"]\n  33 -> 50 [size =\"44577792\"]\n  34 [size=\"35535360\", alpha=\"0.16\", expect_size=\"14214144\"] \n  34 -> 37 [size =\"14214144\"]\n  34 -> 40 [size =\"14214144\"]\n  34 -> 41 [size =\"14214144\"]\n  34 -> 42 [size =\"14214144\"]\n  34 -> 45 [size =\"14214144\"]\n  34 -> 50 [size =\"14214144\"]\n  35 [size=\"94881280\", alpha=\"0.00\", expect_size=\"37952512\"] \n  35 -> 38 [size =\"37952512\"]\n  35 -> 40 [size =\"37952512\"]\n  36 [size=\"48855040\", alpha=\"0.11\", expect_size=\"19542016\"] \n  36 -> 37 [size =\"19542016\"]\n  36 -> 39 [size =\"19542016\"]\n  37 [size=\"43033600\", alpha=\"0.10\", expect_size=\"17213440\"] \n  38 [size=\"118784000\", alpha=\"0.19\", expect_size=\"47513600\"] \n  39 [size=\"92536320\", alpha=\"0.00\", expect_size=\"37014528\"] \n  40 [size=\"27238400\", alpha=\"0.10\", expect_size=\"10895360\"] \n  41 [size=\"45821440\", alpha=\"0.01\", expect_size=\"18328576\"] \n  42 [size=\"34752000\", alpha=\"0.06\", expect_size=\"13900800\"] \n  43 [size=\"80970240\", alpha=\"0.04\", expect_size=\"32388096\"] \n  44 [size=\"18695680\", alpha=\"0.19\", expect_size=\"7478272\"] \n  45 [size=\"113018880\", alpha=\"0.14\", expect_size=\"45207552\"] \n  46 [size=\"115427840\", alpha=\"0.16\", expect_size=\"46171136\"] \n  47 [size=\"61675520\", alpha=\"0.11\", expect_size=\"24670208\"] \n  48 [size=\"119242240\", alpha=\"0.17\", expect_size=\"47696896\"] \n  49 [size=\"111377920\", alpha=\"0.12\", expect_size=\"44551168\"] \n  50 [size=\"111741440\", alpha=\"0.08\", expect_size=\"44696576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.800.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121822720\", alpha=\"0.17\", expect_size=\"48729088\"] \n  1 -> 33 [size =\"48729088\"]\n  1 -> 34 [size =\"48729088\"]\n  1 -> 43 [size =\"48729088\"]\n  1 -> 44 [size =\"48729088\"]\n  1 -> 46 [size =\"48729088\"]\n  1 -> 48 [size =\"48729088\"]\n  2 [size=\"64386560\", alpha=\"0.12\", expect_size=\"25754624\"] \n  2 -> 34 [size =\"25754624\"]\n  2 -> 36 [size =\"25754624\"]\n  2 -> 42 [size =\"25754624\"]\n  2 -> 43 [size =\"25754624\"]\n  2 -> 46 [size =\"25754624\"]\n  2 -> 48 [size =\"25754624\"]\n  3 [size=\"22824960\", alpha=\"0.15\", expect_size=\"9129984\"] \n  3 -> 33 [size =\"9129984\"]\n  3 -> 39 [size =\"9129984\"]\n  3 -> 40 [size =\"9129984\"]\n  3 -> 41 [size =\"9129984\"]\n  3 -> 42 [size =\"9129984\"]\n  3 -> 43 [size =\"9129984\"]\n  3 -> 48 [size =\"9129984\"]\n  3 -> 50 [size =\"9129984\"]\n  4 [size=\"49008640\", alpha=\"0.09\", expect_size=\"19603456\"] \n  4 -> 32 [size =\"19603456\"]\n  4 -> 33 [size =\"19603456\"]\n  4 -> 34 [size =\"19603456\"]\n  4 -> 35 [size =\"19603456\"]\n  4 -> 36 [size =\"19603456\"]\n  4 -> 39 [size =\"19603456\"]\n  4 -> 40 [size =\"19603456\"]\n  4 -> 41 [size =\"19603456\"]\n  4 -> 46 [size =\"19603456\"]\n  4 -> 48 [size =\"19603456\"]\n  4 -> 50 [size =\"19603456\"]\n  5 [size=\"80097280\", alpha=\"0.17\", expect_size=\"32038912\"] \n  5 -> 32 [size =\"32038912\"]\n  5 -> 33 [size =\"32038912\"]\n  5 -> 34 [size =\"32038912\"]\n  5 -> 35 [size =\"32038912\"]\n  5 -> 37 [size =\"32038912\"]\n  5 -> 39 [size =\"32038912\"]\n  5 -> 48 [size =\"32038912\"]\n  5 -> 50 [size =\"32038912\"]\n  6 [size=\"71966720\", alpha=\"0.13\", expect_size=\"28786688\"] \n  6 -> 32 [size =\"28786688\"]\n  6 -> 33 [size =\"28786688\"]\n  6 -> 34 [size =\"28786688\"]\n  6 -> 35 [size =\"28786688\"]\n  6 -> 37 [size =\"28786688\"]\n  6 -> 38 [size =\"28786688\"]\n  6 -> 39 [size =\"28786688\"]\n  6 -> 40 [size =\"28786688\"]\n  6 -> 42 [size =\"28786688\"]\n  6 -> 43 [size =\"28786688\"]\n  6 -> 48 [size =\"28786688\"]\n  6 -> 50 [size =\"28786688\"]\n  7 [size=\"45649920\", alpha=\"0.19\", expect_size=\"18259968\"] \n  7 -> 32 [size =\"18259968\"]\n  7 -> 39 [size =\"18259968\"]\n  7 -> 42 [size =\"18259968\"]\n  7 -> 43 [size =\"18259968\"]\n  7 -> 44 [size =\"18259968\"]\n  7 -> 45 [size =\"18259968\"]\n  7 -> 46 [size =\"18259968\"]\n  7 -> 48 [size =\"18259968\"]\n  7 -> 50 [size =\"18259968\"]\n  8 [size=\"124968960\", alpha=\"0.15\", expect_size=\"49987584\"] \n  8 -> 32 [size =\"49987584\"]\n  8 -> 33 [size =\"49987584\"]\n  8 -> 34 [size =\"49987584\"]\n  8 -> 39 [size =\"49987584\"]\n  8 -> 40 [size =\"49987584\"]\n  8 -> 42 [size =\"49987584\"]\n  8 -> 43 [size =\"49987584\"]\n  8 -> 45 [size =\"49987584\"]\n  8 -> 48 [size =\"49987584\"]\n  8 -> 50 [size =\"49987584\"]\n  9 [size=\"58268160\", alpha=\"0.08\", expect_size=\"23307264\"] \n  9 -> 32 [size =\"23307264\"]\n  9 -> 33 [size =\"23307264\"]\n  9 -> 34 [size =\"23307264\"]\n  9 -> 35 [size =\"23307264\"]\n  9 -> 39 [size =\"23307264\"]\n  9 -> 40 [size =\"23307264\"]\n  9 -> 41 [size =\"23307264\"]\n  9 -> 42 [size =\"23307264\"]\n  9 -> 43 [size =\"23307264\"]\n  9 -> 44 [size =\"23307264\"]\n  9 -> 47 [size =\"23307264\"]\n  9 -> 48 [size =\"23307264\"]\n  9 -> 50 [size =\"23307264\"]\n  10 [size=\"33024000\", alpha=\"0.15\", expect_size=\"13209600\"] \n  10 -> 32 [size =\"13209600\"]\n  10 -> 33 [size =\"13209600\"]\n  10 -> 34 [size =\"13209600\"]\n  10 -> 39 [size =\"13209600\"]\n  10 -> 40 [size =\"13209600\"]\n  10 -> 40 [size =\"13209600\"]\n  10 -> 42 [size =\"13209600\"]\n  10 -> 44 [size =\"13209600\"]\n  10 -> 48 [size =\"13209600\"]\n  11 [size=\"102548480\", alpha=\"0.17\", expect_size=\"41019392\"] \n  11 -> 32 [size =\"41019392\"]\n  11 -> 33 [size =\"41019392\"]\n  11 -> 36 [size =\"41019392\"]\n  11 -> 39 [size =\"41019392\"]\n  11 -> 40 [size =\"41019392\"]\n  11 -> 42 [size =\"41019392\"]\n  11 -> 43 [size =\"41019392\"]\n  11 -> 48 [size =\"41019392\"]\n  12 [size=\"86115840\", alpha=\"0.15\", expect_size=\"34446336\"] \n  12 -> 32 [size =\"34446336\"]\n  12 -> 33 [size =\"34446336\"]\n  12 -> 34 [size =\"34446336\"]\n  12 -> 37 [size =\"34446336\"]\n  12 -> 39 [size =\"34446336\"]\n  12 -> 41 [size =\"34446336\"]\n  12 -> 42 [size =\"34446336\"]\n  12 -> 43 [size =\"34446336\"]\n  12 -> 44 [size =\"34446336\"]\n  12 -> 48 [size =\"34446336\"]\n  12 -> 50 [size =\"34446336\"]\n  13 [size=\"37319680\", alpha=\"0.19\", expect_size=\"14927872\"] \n  13 -> 32 [size =\"14927872\"]\n  13 -> 33 [size =\"14927872\"]\n  13 -> 34 [size =\"14927872\"]\n  13 -> 35 [size =\"14927872\"]\n  13 -> 38 [size =\"14927872\"]\n  13 -> 39 [size =\"14927872\"]\n  13 -> 43 [size =\"14927872\"]\n  13 -> 44 [size =\"14927872\"]\n  13 -> 48 [size =\"14927872\"]\n  13 -> 48 [size =\"14927872\"]\n  13 -> 50 [size =\"14927872\"]\n  14 [size=\"126208000\", alpha=\"0.19\", expect_size=\"50483200\"] \n  14 -> 32 [size =\"50483200\"]\n  14 -> 33 [size =\"50483200\"]\n  14 -> 34 [size =\"50483200\"]\n  14 -> 40 [size =\"50483200\"]\n  14 -> 43 [size =\"50483200\"]\n  14 -> 44 [size =\"50483200\"]\n  14 -> 48 [size =\"50483200\"]\n  15 [size=\"61655040\", alpha=\"0.07\", expect_size=\"24662016\"] \n  15 -> 32 [size =\"24662016\"]\n  15 -> 33 [size =\"24662016\"]\n  15 -> 39 [size =\"24662016\"]\n  15 -> 40 [size =\"24662016\"]\n  15 -> 41 [size =\"24662016\"]\n  15 -> 42 [size =\"24662016\"]\n  15 -> 43 [size =\"24662016\"]\n  15 -> 44 [size =\"24662016\"]\n  15 -> 46 [size =\"24662016\"]\n  15 -> 48 [size =\"24662016\"]\n  15 -> 49 [size =\"24662016\"]\n  16 [size=\"42905600\", alpha=\"0.02\", expect_size=\"17162240\"] \n  16 -> 33 [size =\"17162240\"]\n  16 -> 33 [size =\"17162240\"]\n  16 -> 35 [size =\"17162240\"]\n  16 -> 39 [size =\"17162240\"]\n  16 -> 42 [size =\"17162240\"]\n  16 -> 43 [size =\"17162240\"]\n  16 -> 43 [size =\"17162240\"]\n  16 -> 44 [size =\"17162240\"]\n  16 -> 46 [size =\"17162240\"]\n  16 -> 47 [size =\"17162240\"]\n  16 -> 48 [size =\"17162240\"]\n  17 [size=\"121489920\", alpha=\"0.10\", expect_size=\"48595968\"] \n  17 -> 32 [size =\"48595968\"]\n  17 -> 33 [size =\"48595968\"]\n  17 -> 35 [size =\"48595968\"]\n  17 -> 36 [size =\"48595968\"]\n  17 -> 37 [size =\"48595968\"]\n  17 -> 39 [size =\"48595968\"]\n  17 -> 40 [size =\"48595968\"]\n  17 -> 41 [size =\"48595968\"]\n  17 -> 42 [size =\"48595968\"]\n  17 -> 44 [size =\"48595968\"]\n  17 -> 48 [size =\"48595968\"]\n  17 -> 50 [size =\"48595968\"]\n  18 [size=\"115573760\", alpha=\"0.06\", expect_size=\"46229504\"] \n  18 -> 32 [size =\"46229504\"]\n  18 -> 36 [size =\"46229504\"]\n  18 -> 39 [size =\"46229504\"]\n  18 -> 40 [size =\"46229504\"]\n  18 -> 44 [size =\"46229504\"]\n  19 [size=\"85038080\", alpha=\"0.17\", expect_size=\"34015232\"] \n  19 -> 32 [size =\"34015232\"]\n  19 -> 34 [size =\"34015232\"]\n  19 -> 35 [size =\"34015232\"]\n  19 -> 39 [size =\"34015232\"]\n  19 -> 40 [size =\"34015232\"]\n  19 -> 41 [size =\"34015232\"]\n  19 -> 43 [size =\"34015232\"]\n  19 -> 44 [size =\"34015232\"]\n  19 -> 47 [size =\"34015232\"]\n  20 [size=\"131048960\", alpha=\"0.12\", expect_size=\"52419584\"] \n  20 -> 32 [size =\"52419584\"]\n  20 -> 33 [size =\"52419584\"]\n  20 -> 34 [size =\"52419584\"]\n  20 -> 42 [size =\"52419584\"]\n  20 -> 44 [size =\"52419584\"]\n  21 [size=\"99036160\", alpha=\"0.06\", expect_size=\"39614464\"] \n  21 -> 32 [size =\"39614464\"]\n  21 -> 33 [size =\"39614464\"]\n  21 -> 34 [size =\"39614464\"]\n  21 -> 36 [size =\"39614464\"]\n  21 -> 37 [size =\"39614464\"]\n  21 -> 39 [size =\"39614464\"]\n  21 -> 40 [size =\"39614464\"]\n  21 -> 41 [size =\"39614464\"]\n  21 -> 44 [size =\"39614464\"]\n  21 -> 48 [size =\"39614464\"]\n  21 -> 50 [size =\"39614464\"]\n  22 [size=\"81177600\", alpha=\"0.08\", expect_size=\"32471040\"] \n  22 -> 33 [size =\"32471040\"]\n  22 -> 34 [size =\"32471040\"]\n  22 -> 40 [size =\"32471040\"]\n  22 -> 41 [size =\"32471040\"]\n  22 -> 42 [size =\"32471040\"]\n  22 -> 43 [size =\"32471040\"]\n  22 -> 44 [size =\"32471040\"]\n  22 -> 48 [size =\"32471040\"]\n  22 -> 50 [size =\"32471040\"]\n  23 [size=\"51205120\", alpha=\"0.12\", expect_size=\"20482048\"] \n  23 -> 32 [size =\"20482048\"]\n  23 -> 39 [size =\"20482048\"]\n  23 -> 40 [size =\"20482048\"]\n  23 -> 43 [size =\"20482048\"]\n  23 -> 44 [size =\"20482048\"]\n  23 -> 50 [size =\"20482048\"]\n  24 [size=\"46251520\", alpha=\"0.02\", expect_size=\"18500608\"] \n  24 -> 32 [size =\"18500608\"]\n  24 -> 33 [size =\"18500608\"]\n  24 -> 39 [size =\"18500608\"]\n  24 -> 40 [size =\"18500608\"]\n  24 -> 42 [size =\"18500608\"]\n  24 -> 43 [size =\"18500608\"]\n  24 -> 44 [size =\"18500608\"]\n  24 -> 49 [size =\"18500608\"]\n  24 -> 50 [size =\"18500608\"]\n  25 [size=\"38085120\", alpha=\"0.04\", expect_size=\"15234048\"] \n  25 -> 34 [size =\"15234048\"]\n  25 -> 35 [size =\"15234048\"]\n  25 -> 40 [size =\"15234048\"]\n  25 -> 41 [size =\"15234048\"]\n  25 -> 42 [size =\"15234048\"]\n  25 -> 44 [size =\"15234048\"]\n  25 -> 44 [size =\"15234048\"]\n  25 -> 47 [size =\"15234048\"]\n  25 -> 50 [size =\"15234048\"]\n  26 [size=\"78891520\", alpha=\"0.15\", expect_size=\"31556608\"] \n  26 -> 32 [size =\"31556608\"]\n  26 -> 34 [size =\"31556608\"]\n  26 -> 35 [size =\"31556608\"]\n  26 -> 37 [size =\"31556608\"]\n  26 -> 39 [size =\"31556608\"]\n  26 -> 42 [size =\"31556608\"]\n  26 -> 44 [size =\"31556608\"]\n  27 [size=\"89753600\", alpha=\"0.12\", expect_size=\"35901440\"] \n  27 -> 34 [size =\"35901440\"]\n  27 -> 34 [size =\"35901440\"]\n  27 -> 36 [size =\"35901440\"]\n  27 -> 39 [size =\"35901440\"]\n  27 -> 39 [size =\"35901440\"]\n  27 -> 48 [size =\"35901440\"]\n  28 [size=\"33489920\", alpha=\"0.08\", expect_size=\"13395968\"] \n  28 -> 33 [size =\"13395968\"]\n  28 -> 34 [size =\"13395968\"]\n  28 -> 41 [size =\"13395968\"]\n  28 -> 42 [size =\"13395968\"]\n  28 -> 43 [size =\"13395968\"]\n  28 -> 47 [size =\"13395968\"]\n  29 [size=\"69864960\", alpha=\"0.12\", expect_size=\"27945984\"] \n  29 -> 32 [size =\"27945984\"]\n  29 -> 34 [size =\"27945984\"]\n  29 -> 35 [size =\"27945984\"]\n  29 -> 39 [size =\"27945984\"]\n  29 -> 41 [size =\"27945984\"]\n  29 -> 42 [size =\"27945984\"]\n  29 -> 43 [size =\"27945984\"]\n  29 -> 46 [size =\"27945984\"]\n  29 -> 47 [size =\"27945984\"]\n  29 -> 48 [size =\"27945984\"]\n  30 [size=\"50442240\", alpha=\"0.19\", expect_size=\"20176896\"] \n  30 -> 32 [size =\"20176896\"]\n  30 -> 34 [size =\"20176896\"]\n  30 -> 35 [size =\"20176896\"]\n  30 -> 36 [size =\"20176896\"]\n  30 -> 39 [size =\"20176896\"]\n  30 -> 44 [size =\"20176896\"]\n  30 -> 46 [size =\"20176896\"]\n  30 -> 48 [size =\"20176896\"]\n  30 -> 50 [size =\"20176896\"]\n  31 [size=\"120962560\", alpha=\"0.01\", expect_size=\"48385024\"] \n  31 -> 32 [size =\"48385024\"]\n  31 -> 34 [size =\"48385024\"]\n  31 -> 35 [size =\"48385024\"]\n  31 -> 46 [size =\"48385024\"]\n  32 [size=\"36247040\", alpha=\"0.15\", expect_size=\"14498816\"] \n  33 [size=\"83504640\", alpha=\"0.14\", expect_size=\"33401856\"] \n  34 [size=\"36528640\", alpha=\"0.12\", expect_size=\"14611456\"] \n  35 [size=\"49180160\", alpha=\"0.18\", expect_size=\"19672064\"] \n  36 [size=\"70489600\", alpha=\"0.09\", expect_size=\"28195840\"] \n  37 [size=\"41349120\", alpha=\"0.18\", expect_size=\"16539648\"] \n  38 [size=\"112268800\", alpha=\"0.05\", expect_size=\"44907520\"] \n  39 [size=\"41218560\", alpha=\"0.04\", expect_size=\"16487424\"] \n  40 [size=\"109294080\", alpha=\"0.03\", expect_size=\"43717632\"] \n  41 [size=\"100477440\", alpha=\"0.16\", expect_size=\"40190976\"] \n  42 [size=\"104215040\", alpha=\"0.02\", expect_size=\"41686016\"] \n  43 [size=\"75553280\", alpha=\"0.13\", expect_size=\"30221312\"] \n  44 [size=\"38704640\", alpha=\"0.10\", expect_size=\"15481856\"] \n  45 [size=\"106769920\", alpha=\"0.12\", expect_size=\"42707968\"] \n  46 [size=\"92372480\", alpha=\"0.04\", expect_size=\"36948992\"] \n  47 [size=\"25305600\", alpha=\"0.10\", expect_size=\"10122240\"] \n  48 [size=\"13957120\", alpha=\"0.19\", expect_size=\"5582848\"] \n  49 [size=\"42826240\", alpha=\"0.18\", expect_size=\"17130496\"] \n  50 [size=\"65884160\", alpha=\"0.03\", expect_size=\"26353664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.801.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13346816\", alpha=\"0.15\", expect_size=\"6673408\"] \n  1 -> 32 [size =\"6673408\"]\n  1 -> 35 [size =\"6673408\"]\n  1 -> 37 [size =\"6673408\"]\n  1 -> 44 [size =\"6673408\"]\n  1 -> 48 [size =\"6673408\"]\n  1 -> 49 [size =\"6673408\"]\n  2 [size=\"46383104\", alpha=\"0.04\", expect_size=\"23191552\"] \n  2 -> 33 [size =\"23191552\"]\n  2 -> 35 [size =\"23191552\"]\n  2 -> 37 [size =\"23191552\"]\n  2 -> 41 [size =\"23191552\"]\n  2 -> 46 [size =\"23191552\"]\n  3 [size=\"29184000\", alpha=\"0.06\", expect_size=\"14592000\"] \n  3 -> 33 [size =\"14592000\"]\n  3 -> 37 [size =\"14592000\"]\n  3 -> 37 [size =\"14592000\"]\n  3 -> 41 [size =\"14592000\"]\n  3 -> 43 [size =\"14592000\"]\n  3 -> 46 [size =\"14592000\"]\n  3 -> 49 [size =\"14592000\"]\n  3 -> 50 [size =\"14592000\"]\n  4 [size=\"23109632\", alpha=\"0.11\", expect_size=\"11554816\"] \n  4 -> 32 [size =\"11554816\"]\n  4 -> 33 [size =\"11554816\"]\n  4 -> 35 [size =\"11554816\"]\n  4 -> 36 [size =\"11554816\"]\n  4 -> 43 [size =\"11554816\"]\n  4 -> 49 [size =\"11554816\"]\n  5 [size=\"63117312\", alpha=\"0.04\", expect_size=\"31558656\"] \n  5 -> 31 [size =\"31558656\"]\n  5 -> 33 [size =\"31558656\"]\n  5 -> 34 [size =\"31558656\"]\n  5 -> 35 [size =\"31558656\"]\n  5 -> 37 [size =\"31558656\"]\n  5 -> 40 [size =\"31558656\"]\n  5 -> 50 [size =\"31558656\"]\n  6 [size=\"13815808\", alpha=\"0.20\", expect_size=\"6907904\"] \n  6 -> 33 [size =\"6907904\"]\n  6 -> 35 [size =\"6907904\"]\n  6 -> 40 [size =\"6907904\"]\n  6 -> 41 [size =\"6907904\"]\n  6 -> 42 [size =\"6907904\"]\n  6 -> 43 [size =\"6907904\"]\n  6 -> 44 [size =\"6907904\"]\n  6 -> 46 [size =\"6907904\"]\n  6 -> 50 [size =\"6907904\"]\n  7 [size=\"98232320\", alpha=\"0.17\", expect_size=\"49116160\"] \n  7 -> 37 [size =\"49116160\"]\n  7 -> 41 [size =\"49116160\"]\n  7 -> 42 [size =\"49116160\"]\n  7 -> 44 [size =\"49116160\"]\n  7 -> 48 [size =\"49116160\"]\n  7 -> 50 [size =\"49116160\"]\n  8 [size=\"29485056\", alpha=\"0.04\", expect_size=\"14742528\"] \n  8 -> 33 [size =\"14742528\"]\n  8 -> 41 [size =\"14742528\"]\n  8 -> 42 [size =\"14742528\"]\n  8 -> 45 [size =\"14742528\"]\n  8 -> 48 [size =\"14742528\"]\n  9 [size=\"87404544\", alpha=\"0.12\", expect_size=\"43702272\"] \n  9 -> 36 [size =\"43702272\"]\n  9 -> 42 [size =\"43702272\"]\n  9 -> 48 [size =\"43702272\"]\n  9 -> 49 [size =\"43702272\"]\n  10 [size=\"39876608\", alpha=\"0.13\", expect_size=\"19938304\"] \n  10 -> 31 [size =\"19938304\"]\n  10 -> 35 [size =\"19938304\"]\n  10 -> 41 [size =\"19938304\"]\n  10 -> 42 [size =\"19938304\"]\n  10 -> 44 [size =\"19938304\"]\n  10 -> 46 [size =\"19938304\"]\n  10 -> 48 [size =\"19938304\"]\n  10 -> 49 [size =\"19938304\"]\n  11 [size=\"79339520\", alpha=\"0.08\", expect_size=\"39669760\"] \n  11 -> 32 [size =\"39669760\"]\n  11 -> 34 [size =\"39669760\"]\n  11 -> 36 [size =\"39669760\"]\n  11 -> 41 [size =\"39669760\"]\n  11 -> 42 [size =\"39669760\"]\n  11 -> 44 [size =\"39669760\"]\n  11 -> 46 [size =\"39669760\"]\n  11 -> 48 [size =\"39669760\"]\n  11 -> 49 [size =\"39669760\"]\n  12 [size=\"54034432\", alpha=\"0.01\", expect_size=\"27017216\"] \n  12 -> 33 [size =\"27017216\"]\n  12 -> 36 [size =\"27017216\"]\n  12 -> 41 [size =\"27017216\"]\n  12 -> 42 [size =\"27017216\"]\n  12 -> 44 [size =\"27017216\"]\n  12 -> 44 [size =\"27017216\"]\n  12 -> 46 [size =\"27017216\"]\n  12 -> 48 [size =\"27017216\"]\n  12 -> 49 [size =\"27017216\"]\n  13 [size=\"71030784\", alpha=\"0.18\", expect_size=\"35515392\"] \n  13 -> 33 [size =\"35515392\"]\n  13 -> 44 [size =\"35515392\"]\n  13 -> 46 [size =\"35515392\"]\n  13 -> 48 [size =\"35515392\"]\n  13 -> 49 [size =\"35515392\"]\n  13 -> 50 [size =\"35515392\"]\n  14 [size=\"97157120\", alpha=\"0.14\", expect_size=\"48578560\"] \n  14 -> 33 [size =\"48578560\"]\n  14 -> 37 [size =\"48578560\"]\n  14 -> 44 [size =\"48578560\"]\n  14 -> 47 [size =\"48578560\"]\n  14 -> 48 [size =\"48578560\"]\n  14 -> 50 [size =\"48578560\"]\n  15 [size=\"55785472\", alpha=\"0.11\", expect_size=\"27892736\"] \n  15 -> 32 [size =\"27892736\"]\n  15 -> 35 [size =\"27892736\"]\n  15 -> 36 [size =\"27892736\"]\n  15 -> 42 [size =\"27892736\"]\n  15 -> 44 [size =\"27892736\"]\n  15 -> 48 [size =\"27892736\"]\n  16 [size=\"75661312\", alpha=\"0.14\", expect_size=\"37830656\"] \n  16 -> 32 [size =\"37830656\"]\n  16 -> 33 [size =\"37830656\"]\n  16 -> 34 [size =\"37830656\"]\n  16 -> 35 [size =\"37830656\"]\n  16 -> 40 [size =\"37830656\"]\n  16 -> 44 [size =\"37830656\"]\n  16 -> 48 [size =\"37830656\"]\n  16 -> 50 [size =\"37830656\"]\n  17 [size=\"75425792\", alpha=\"0.05\", expect_size=\"37712896\"] \n  17 -> 31 [size =\"37712896\"]\n  17 -> 32 [size =\"37712896\"]\n  17 -> 33 [size =\"37712896\"]\n  17 -> 35 [size =\"37712896\"]\n  17 -> 37 [size =\"37712896\"]\n  17 -> 43 [size =\"37712896\"]\n  17 -> 44 [size =\"37712896\"]\n  17 -> 46 [size =\"37712896\"]\n  17 -> 48 [size =\"37712896\"]\n  17 -> 49 [size =\"37712896\"]\n  17 -> 50 [size =\"37712896\"]\n  18 [size=\"62656512\", alpha=\"0.10\", expect_size=\"31328256\"] \n  18 -> 32 [size =\"31328256\"]\n  18 -> 33 [size =\"31328256\"]\n  18 -> 35 [size =\"31328256\"]\n  18 -> 35 [size =\"31328256\"]\n  18 -> 37 [size =\"31328256\"]\n  18 -> 41 [size =\"31328256\"]\n  18 -> 49 [size =\"31328256\"]\n  18 -> 50 [size =\"31328256\"]\n  19 [size=\"82558976\", alpha=\"0.08\", expect_size=\"41279488\"] \n  19 -> 32 [size =\"41279488\"]\n  19 -> 35 [size =\"41279488\"]\n  19 -> 36 [size =\"41279488\"]\n  19 -> 37 [size =\"41279488\"]\n  19 -> 37 [size =\"41279488\"]\n  19 -> 41 [size =\"41279488\"]\n  19 -> 42 [size =\"41279488\"]\n  19 -> 49 [size =\"41279488\"]\n  19 -> 50 [size =\"41279488\"]\n  20 [size=\"43730944\", alpha=\"0.19\", expect_size=\"21865472\"] \n  20 -> 32 [size =\"21865472\"]\n  20 -> 34 [size =\"21865472\"]\n  20 -> 35 [size =\"21865472\"]\n  20 -> 37 [size =\"21865472\"]\n  20 -> 41 [size =\"21865472\"]\n  20 -> 41 [size =\"21865472\"]\n  20 -> 45 [size =\"21865472\"]\n  20 -> 46 [size =\"21865472\"]\n  20 -> 48 [size =\"21865472\"]\n  20 -> 49 [size =\"21865472\"]\n  20 -> 50 [size =\"21865472\"]\n  21 [size=\"104757248\", alpha=\"0.10\", expect_size=\"52378624\"] \n  21 -> 32 [size =\"52378624\"]\n  21 -> 33 [size =\"52378624\"]\n  21 -> 34 [size =\"52378624\"]\n  21 -> 41 [size =\"52378624\"]\n  21 -> 41 [size =\"52378624\"]\n  21 -> 44 [size =\"52378624\"]\n  21 -> 45 [size =\"52378624\"]\n  21 -> 46 [size =\"52378624\"]\n  21 -> 48 [size =\"52378624\"]\n  21 -> 49 [size =\"52378624\"]\n  21 -> 50 [size =\"52378624\"]\n  22 [size=\"49094656\", alpha=\"0.08\", expect_size=\"24547328\"] \n  22 -> 33 [size =\"24547328\"]\n  22 -> 41 [size =\"24547328\"]\n  22 -> 42 [size =\"24547328\"]\n  22 -> 44 [size =\"24547328\"]\n  22 -> 46 [size =\"24547328\"]\n  22 -> 47 [size =\"24547328\"]\n  22 -> 48 [size =\"24547328\"]\n  22 -> 49 [size =\"24547328\"]\n  22 -> 50 [size =\"24547328\"]\n  23 [size=\"52269056\", alpha=\"0.11\", expect_size=\"26134528\"] \n  23 -> 31 [size =\"26134528\"]\n  23 -> 32 [size =\"26134528\"]\n  23 -> 33 [size =\"26134528\"]\n  23 -> 34 [size =\"26134528\"]\n  23 -> 35 [size =\"26134528\"]\n  23 -> 37 [size =\"26134528\"]\n  23 -> 39 [size =\"26134528\"]\n  23 -> 41 [size =\"26134528\"]\n  23 -> 48 [size =\"26134528\"]\n  23 -> 49 [size =\"26134528\"]\n  23 -> 50 [size =\"26134528\"]\n  24 [size=\"44713984\", alpha=\"0.16\", expect_size=\"22356992\"] \n  24 -> 33 [size =\"22356992\"]\n  24 -> 35 [size =\"22356992\"]\n  24 -> 41 [size =\"22356992\"]\n  24 -> 42 [size =\"22356992\"]\n  24 -> 45 [size =\"22356992\"]\n  24 -> 49 [size =\"22356992\"]\n  24 -> 50 [size =\"22356992\"]\n  25 [size=\"16523264\", alpha=\"0.12\", expect_size=\"8261632\"] \n  25 -> 32 [size =\"8261632\"]\n  25 -> 35 [size =\"8261632\"]\n  25 -> 43 [size =\"8261632\"]\n  25 -> 44 [size =\"8261632\"]\n  25 -> 46 [size =\"8261632\"]\n  25 -> 50 [size =\"8261632\"]\n  25 -> 50 [size =\"8261632\"]\n  26 [size=\"67760128\", alpha=\"0.09\", expect_size=\"33880064\"] \n  26 -> 32 [size =\"33880064\"]\n  26 -> 33 [size =\"33880064\"]\n  26 -> 35 [size =\"33880064\"]\n  26 -> 37 [size =\"33880064\"]\n  26 -> 41 [size =\"33880064\"]\n  26 -> 42 [size =\"33880064\"]\n  26 -> 43 [size =\"33880064\"]\n  26 -> 44 [size =\"33880064\"]\n  26 -> 46 [size =\"33880064\"]\n  26 -> 49 [size =\"33880064\"]\n  26 -> 50 [size =\"33880064\"]\n  27 [size=\"37963776\", alpha=\"0.04\", expect_size=\"18981888\"] \n  27 -> 33 [size =\"18981888\"]\n  27 -> 34 [size =\"18981888\"]\n  27 -> 42 [size =\"18981888\"]\n  27 -> 43 [size =\"18981888\"]\n  27 -> 44 [size =\"18981888\"]\n  27 -> 46 [size =\"18981888\"]\n  27 -> 48 [size =\"18981888\"]\n  27 -> 49 [size =\"18981888\"]\n  27 -> 50 [size =\"18981888\"]\n  28 [size=\"60076032\", alpha=\"0.04\", expect_size=\"30038016\"] \n  28 -> 32 [size =\"30038016\"]\n  28 -> 34 [size =\"30038016\"]\n  28 -> 35 [size =\"30038016\"]\n  28 -> 37 [size =\"30038016\"]\n  28 -> 43 [size =\"30038016\"]\n  28 -> 44 [size =\"30038016\"]\n  28 -> 46 [size =\"30038016\"]\n  28 -> 48 [size =\"30038016\"]\n  28 -> 49 [size =\"30038016\"]\n  28 -> 50 [size =\"30038016\"]\n  29 [size=\"12093440\", alpha=\"0.20\", expect_size=\"6046720\"] \n  29 -> 33 [size =\"6046720\"]\n  29 -> 34 [size =\"6046720\"]\n  29 -> 37 [size =\"6046720\"]\n  29 -> 42 [size =\"6046720\"]\n  29 -> 43 [size =\"6046720\"]\n  29 -> 44 [size =\"6046720\"]\n  29 -> 48 [size =\"6046720\"]\n  29 -> 48 [size =\"6046720\"]\n  30 [size=\"52185088\", alpha=\"0.02\", expect_size=\"26092544\"] \n  30 -> 35 [size =\"26092544\"]\n  30 -> 36 [size =\"26092544\"]\n  30 -> 37 [size =\"26092544\"]\n  30 -> 38 [size =\"26092544\"]\n  30 -> 44 [size =\"26092544\"]\n  30 -> 45 [size =\"26092544\"]\n  30 -> 48 [size =\"26092544\"]\n  30 -> 50 [size =\"26092544\"]\n  31 [size=\"46292992\", alpha=\"0.19\", expect_size=\"23146496\"] \n  32 [size=\"91650048\", alpha=\"0.05\", expect_size=\"45825024\"] \n  33 [size=\"35414016\", alpha=\"0.03\", expect_size=\"17707008\"] \n  34 [size=\"85024768\", alpha=\"0.01\", expect_size=\"42512384\"] \n  35 [size=\"64362496\", alpha=\"0.07\", expect_size=\"32181248\"] \n  36 [size=\"26062848\", alpha=\"0.08\", expect_size=\"13031424\"] \n  37 [size=\"67827712\", alpha=\"0.02\", expect_size=\"33913856\"] \n  38 [size=\"88662016\", alpha=\"0.08\", expect_size=\"44331008\"] \n  39 [size=\"13191168\", alpha=\"0.08\", expect_size=\"6595584\"] \n  40 [size=\"12707840\", alpha=\"0.16\", expect_size=\"6353920\"] \n  41 [size=\"22231040\", alpha=\"0.04\", expect_size=\"11115520\"] \n  42 [size=\"16246784\", alpha=\"0.19\", expect_size=\"8123392\"] \n  43 [size=\"38301696\", alpha=\"0.04\", expect_size=\"19150848\"] \n  44 [size=\"54571008\", alpha=\"0.16\", expect_size=\"27285504\"] \n  45 [size=\"57356288\", alpha=\"0.09\", expect_size=\"28678144\"] \n  46 [size=\"91959296\", alpha=\"0.15\", expect_size=\"45979648\"] \n  47 [size=\"34813952\", alpha=\"0.06\", expect_size=\"17406976\"] \n  48 [size=\"45230080\", alpha=\"0.08\", expect_size=\"22615040\"] \n  49 [size=\"81006592\", alpha=\"0.10\", expect_size=\"40503296\"] \n  50 [size=\"25479168\", alpha=\"0.01\", expect_size=\"12739584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.802.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87877120\", alpha=\"0.02\", expect_size=\"35150848\"] \n  1 -> 30 [size =\"35150848\"]\n  1 -> 31 [size =\"35150848\"]\n  1 -> 32 [size =\"35150848\"]\n  1 -> 35 [size =\"35150848\"]\n  1 -> 36 [size =\"35150848\"]\n  1 -> 39 [size =\"35150848\"]\n  1 -> 43 [size =\"35150848\"]\n  1 -> 45 [size =\"35150848\"]\n  1 -> 47 [size =\"35150848\"]\n  2 [size=\"50836480\", alpha=\"0.05\", expect_size=\"20334592\"] \n  2 -> 28 [size =\"20334592\"]\n  2 -> 34 [size =\"20334592\"]\n  2 -> 35 [size =\"20334592\"]\n  2 -> 36 [size =\"20334592\"]\n  2 -> 41 [size =\"20334592\"]\n  2 -> 44 [size =\"20334592\"]\n  3 [size=\"108226560\", alpha=\"0.06\", expect_size=\"43290624\"] \n  3 -> 30 [size =\"43290624\"]\n  3 -> 36 [size =\"43290624\"]\n  3 -> 40 [size =\"43290624\"]\n  3 -> 47 [size =\"43290624\"]\n  3 -> 48 [size =\"43290624\"]\n  4 [size=\"66675200\", alpha=\"0.03\", expect_size=\"26670080\"] \n  4 -> 35 [size =\"26670080\"]\n  4 -> 36 [size =\"26670080\"]\n  4 -> 38 [size =\"26670080\"]\n  4 -> 41 [size =\"26670080\"]\n  4 -> 46 [size =\"26670080\"]\n  5 [size=\"76410880\", alpha=\"0.11\", expect_size=\"30564352\"] \n  5 -> 28 [size =\"30564352\"]\n  5 -> 29 [size =\"30564352\"]\n  5 -> 36 [size =\"30564352\"]\n  5 -> 41 [size =\"30564352\"]\n  5 -> 42 [size =\"30564352\"]\n  5 -> 43 [size =\"30564352\"]\n  6 [size=\"20006400\", alpha=\"0.06\", expect_size=\"8002560\"] \n  6 -> 28 [size =\"8002560\"]\n  6 -> 33 [size =\"8002560\"]\n  6 -> 36 [size =\"8002560\"]\n  6 -> 44 [size =\"8002560\"]\n  6 -> 46 [size =\"8002560\"]\n  6 -> 48 [size =\"8002560\"]\n  6 -> 50 [size =\"8002560\"]\n  7 [size=\"21114880\", alpha=\"0.15\", expect_size=\"8445952\"] \n  7 -> 28 [size =\"8445952\"]\n  7 -> 30 [size =\"8445952\"]\n  7 -> 31 [size =\"8445952\"]\n  7 -> 33 [size =\"8445952\"]\n  7 -> 36 [size =\"8445952\"]\n  7 -> 40 [size =\"8445952\"]\n  7 -> 45 [size =\"8445952\"]\n  7 -> 46 [size =\"8445952\"]\n  8 [size=\"123445760\", alpha=\"0.03\", expect_size=\"49378304\"] \n  8 -> 26 [size =\"49378304\"]\n  8 -> 28 [size =\"49378304\"]\n  8 -> 30 [size =\"49378304\"]\n  8 -> 31 [size =\"49378304\"]\n  8 -> 33 [size =\"49378304\"]\n  8 -> 34 [size =\"49378304\"]\n  8 -> 36 [size =\"49378304\"]\n  8 -> 40 [size =\"49378304\"]\n  8 -> 41 [size =\"49378304\"]\n  8 -> 43 [size =\"49378304\"]\n  8 -> 46 [size =\"49378304\"]\n  9 [size=\"39587840\", alpha=\"0.15\", expect_size=\"15835136\"] \n  9 -> 30 [size =\"15835136\"]\n  9 -> 31 [size =\"15835136\"]\n  9 -> 33 [size =\"15835136\"]\n  9 -> 34 [size =\"15835136\"]\n  9 -> 36 [size =\"15835136\"]\n  9 -> 41 [size =\"15835136\"]\n  9 -> 43 [size =\"15835136\"]\n  9 -> 44 [size =\"15835136\"]\n  10 [size=\"63444480\", alpha=\"0.01\", expect_size=\"25377792\"] \n  10 -> 30 [size =\"25377792\"]\n  10 -> 31 [size =\"25377792\"]\n  10 -> 34 [size =\"25377792\"]\n  10 -> 36 [size =\"25377792\"]\n  10 -> 36 [size =\"25377792\"]\n  10 -> 40 [size =\"25377792\"]\n  10 -> 47 [size =\"25377792\"]\n  10 -> 50 [size =\"25377792\"]\n  11 [size=\"32954880\", alpha=\"0.19\", expect_size=\"13181952\"] \n  11 -> 30 [size =\"13181952\"]\n  11 -> 31 [size =\"13181952\"]\n  11 -> 35 [size =\"13181952\"]\n  11 -> 50 [size =\"13181952\"]\n  12 [size=\"44357120\", alpha=\"0.06\", expect_size=\"17742848\"] \n  12 -> 26 [size =\"17742848\"]\n  12 -> 27 [size =\"17742848\"]\n  12 -> 28 [size =\"17742848\"]\n  12 -> 31 [size =\"17742848\"]\n  12 -> 35 [size =\"17742848\"]\n  12 -> 36 [size =\"17742848\"]\n  12 -> 40 [size =\"17742848\"]\n  12 -> 45 [size =\"17742848\"]\n  12 -> 47 [size =\"17742848\"]\n  13 [size=\"75765760\", alpha=\"0.07\", expect_size=\"30306304\"] \n  13 -> 26 [size =\"30306304\"]\n  13 -> 28 [size =\"30306304\"]\n  13 -> 36 [size =\"30306304\"]\n  13 -> 40 [size =\"30306304\"]\n  13 -> 41 [size =\"30306304\"]\n  13 -> 47 [size =\"30306304\"]\n  13 -> 50 [size =\"30306304\"]\n  14 [size=\"110118400\", alpha=\"0.18\", expect_size=\"44047360\"] \n  14 -> 28 [size =\"44047360\"]\n  14 -> 30 [size =\"44047360\"]\n  14 -> 33 [size =\"44047360\"]\n  14 -> 46 [size =\"44047360\"]\n  14 -> 47 [size =\"44047360\"]\n  14 -> 47 [size =\"44047360\"]\n  15 [size=\"128965120\", alpha=\"0.03\", expect_size=\"51586048\"] \n  15 -> 28 [size =\"51586048\"]\n  15 -> 31 [size =\"51586048\"]\n  15 -> 44 [size =\"51586048\"]\n  15 -> 46 [size =\"51586048\"]\n  15 -> 47 [size =\"51586048\"]\n  15 -> 50 [size =\"51586048\"]\n  16 [size=\"77957120\", alpha=\"0.04\", expect_size=\"31182848\"] \n  16 -> 31 [size =\"31182848\"]\n  16 -> 40 [size =\"31182848\"]\n  16 -> 47 [size =\"31182848\"]\n  17 [size=\"114992640\", alpha=\"0.07\", expect_size=\"45997056\"] \n  17 -> 28 [size =\"45997056\"]\n  17 -> 31 [size =\"45997056\"]\n  17 -> 33 [size =\"45997056\"]\n  17 -> 36 [size =\"45997056\"]\n  17 -> 47 [size =\"45997056\"]\n  17 -> 50 [size =\"45997056\"]\n  18 [size=\"86914560\", alpha=\"0.11\", expect_size=\"34765824\"] \n  18 -> 32 [size =\"34765824\"]\n  18 -> 37 [size =\"34765824\"]\n  18 -> 46 [size =\"34765824\"]\n  18 -> 50 [size =\"34765824\"]\n  19 [size=\"105776640\", alpha=\"0.18\", expect_size=\"42310656\"] \n  19 -> 34 [size =\"42310656\"]\n  20 [size=\"77762560\", alpha=\"0.02\", expect_size=\"31105024\"] \n  20 -> 28 [size =\"31105024\"]\n  20 -> 30 [size =\"31105024\"]\n  20 -> 37 [size =\"31105024\"]\n  20 -> 41 [size =\"31105024\"]\n  21 [size=\"81971200\", alpha=\"0.20\", expect_size=\"32788480\"] \n  21 -> 29 [size =\"32788480\"]\n  21 -> 30 [size =\"32788480\"]\n  21 -> 33 [size =\"32788480\"]\n  21 -> 37 [size =\"32788480\"]\n  21 -> 39 [size =\"32788480\"]\n  21 -> 40 [size =\"32788480\"]\n  21 -> 43 [size =\"32788480\"]\n  21 -> 45 [size =\"32788480\"]\n  21 -> 46 [size =\"32788480\"]\n  21 -> 49 [size =\"32788480\"]\n  21 -> 50 [size =\"32788480\"]\n  22 [size=\"74595840\", alpha=\"0.04\", expect_size=\"29838336\"] \n  22 -> 28 [size =\"29838336\"]\n  22 -> 31 [size =\"29838336\"]\n  22 -> 42 [size =\"29838336\"]\n  22 -> 43 [size =\"29838336\"]\n  22 -> 46 [size =\"29838336\"]\n  22 -> 47 [size =\"29838336\"]\n  22 -> 49 [size =\"29838336\"]\n  23 [size=\"107712000\", alpha=\"0.03\", expect_size=\"43084800\"] \n  23 -> 30 [size =\"43084800\"]\n  23 -> 33 [size =\"43084800\"]\n  23 -> 34 [size =\"43084800\"]\n  23 -> 40 [size =\"43084800\"]\n  23 -> 42 [size =\"43084800\"]\n  24 [size=\"29127680\", alpha=\"0.13\", expect_size=\"11651072\"] \n  24 -> 26 [size =\"11651072\"]\n  24 -> 30 [size =\"11651072\"]\n  24 -> 31 [size =\"11651072\"]\n  24 -> 34 [size =\"11651072\"]\n  24 -> 40 [size =\"11651072\"]\n  24 -> 43 [size =\"11651072\"]\n  24 -> 47 [size =\"11651072\"]\n  24 -> 48 [size =\"11651072\"]\n  25 [size=\"19079680\", alpha=\"0.12\", expect_size=\"7631872\"] \n  25 -> 28 [size =\"7631872\"]\n  25 -> 30 [size =\"7631872\"]\n  25 -> 31 [size =\"7631872\"]\n  25 -> 36 [size =\"7631872\"]\n  25 -> 41 [size =\"7631872\"]\n  25 -> 46 [size =\"7631872\"]\n  25 -> 47 [size =\"7631872\"]\n  26 [size=\"39406080\", alpha=\"0.13\", expect_size=\"15762432\"] \n  27 [size=\"62548480\", alpha=\"0.15\", expect_size=\"25019392\"] \n  28 [size=\"103851520\", alpha=\"0.16\", expect_size=\"41540608\"] \n  29 [size=\"52088320\", alpha=\"0.02\", expect_size=\"20835328\"] \n  30 [size=\"37821440\", alpha=\"0.16\", expect_size=\"15128576\"] \n  31 [size=\"51517440\", alpha=\"0.13\", expect_size=\"20606976\"] \n  32 [size=\"49978880\", alpha=\"0.16\", expect_size=\"19991552\"] \n  33 [size=\"70937600\", alpha=\"0.09\", expect_size=\"28375040\"] \n  34 [size=\"91553280\", alpha=\"0.19\", expect_size=\"36621312\"] \n  35 [size=\"47426560\", alpha=\"0.08\", expect_size=\"18970624\"] \n  36 [size=\"119828480\", alpha=\"0.09\", expect_size=\"47931392\"] \n  37 [size=\"79728640\", alpha=\"0.07\", expect_size=\"31891456\"] \n  38 [size=\"53102080\", alpha=\"0.17\", expect_size=\"21240832\"] \n  39 [size=\"32320000\", alpha=\"0.03\", expect_size=\"12928000\"] \n  40 [size=\"43868160\", alpha=\"0.19\", expect_size=\"17547264\"] \n  41 [size=\"20116480\", alpha=\"0.08\", expect_size=\"8046592\"] \n  42 [size=\"98882560\", alpha=\"0.07\", expect_size=\"39553024\"] \n  43 [size=\"75486720\", alpha=\"0.02\", expect_size=\"30194688\"] \n  44 [size=\"130552320\", alpha=\"0.20\", expect_size=\"52220928\"] \n  45 [size=\"125160960\", alpha=\"0.18\", expect_size=\"50064384\"] \n  46 [size=\"57205760\", alpha=\"0.02\", expect_size=\"22882304\"] \n  47 [size=\"109509120\", alpha=\"0.13\", expect_size=\"43803648\"] \n  48 [size=\"30056960\", alpha=\"0.00\", expect_size=\"12022784\"] \n  49 [size=\"128591360\", alpha=\"0.14\", expect_size=\"51436544\"] \n  50 [size=\"25920000\", alpha=\"0.11\", expect_size=\"10368000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.803.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19924480\", alpha=\"0.09\", expect_size=\"7969792\"] \n  1 -> 2 [size =\"7969792\"]\n  2 [size=\"98081280\", alpha=\"0.03\", expect_size=\"39232512\"] \n  2 -> 3 [size =\"39232512\"]\n  3 [size=\"52372480\", alpha=\"0.07\", expect_size=\"20948992\"] \n  3 -> 4 [size =\"20948992\"]\n  4 [size=\"45345280\", alpha=\"0.06\", expect_size=\"18138112\"] \n  4 -> 5 [size =\"18138112\"]\n  5 [size=\"36953600\", alpha=\"0.10\", expect_size=\"14781440\"] \n  5 -> 6 [size =\"14781440\"]\n  6 [size=\"92295680\", alpha=\"0.09\", expect_size=\"36918272\"] \n  6 -> 7 [size =\"36918272\"]\n  7 [size=\"37127680\", alpha=\"0.06\", expect_size=\"14851072\"] \n  7 -> 8 [size =\"14851072\"]\n  8 [size=\"125867520\", alpha=\"0.19\", expect_size=\"50347008\"] \n  8 -> 9 [size =\"50347008\"]\n  9 [size=\"23577600\", alpha=\"0.03\", expect_size=\"9431040\"] \n  9 -> 10 [size =\"9431040\"]\n  10 [size=\"59676160\", alpha=\"0.08\", expect_size=\"23870464\"] \n  10 -> 11 [size =\"23870464\"]\n  11 [size=\"84695040\", alpha=\"0.07\", expect_size=\"33878016\"] \n  11 -> 12 [size =\"33878016\"]\n  12 [size=\"22110720\", alpha=\"0.09\", expect_size=\"8844288\"] \n  12 -> 13 [size =\"8844288\"]\n  13 [size=\"37890560\", alpha=\"0.04\", expect_size=\"15156224\"] \n  13 -> 14 [size =\"15156224\"]\n  14 [size=\"77468160\", alpha=\"0.11\", expect_size=\"30987264\"] \n  14 -> 15 [size =\"30987264\"]\n  15 [size=\"112386560\", alpha=\"0.09\", expect_size=\"44954624\"] \n  15 -> 16 [size =\"44954624\"]\n  16 [size=\"52682240\", alpha=\"0.09\", expect_size=\"21072896\"] \n  16 -> 17 [size =\"21072896\"]\n  17 [size=\"105902080\", alpha=\"0.08\", expect_size=\"42360832\"] \n  17 -> 18 [size =\"42360832\"]\n  18 [size=\"26071040\", alpha=\"0.01\", expect_size=\"10428416\"] \n  18 -> 19 [size =\"10428416\"]\n  19 [size=\"22571520\", alpha=\"0.04\", expect_size=\"9028608\"] \n  19 -> 20 [size =\"9028608\"]\n  20 [size=\"38348800\", alpha=\"0.16\", expect_size=\"15339520\"] \n  20 -> 21 [size =\"15339520\"]\n  21 [size=\"83176960\", alpha=\"0.09\", expect_size=\"33270784\"] \n  21 -> 22 [size =\"33270784\"]\n  22 [size=\"122580480\", alpha=\"0.16\", expect_size=\"49032192\"] \n  22 -> 23 [size =\"49032192\"]\n  23 [size=\"58851840\", alpha=\"0.10\", expect_size=\"23540736\"] \n  23 -> 24 [size =\"23540736\"]\n  24 [size=\"85120000\", alpha=\"0.09\", expect_size=\"34048000\"] \n  24 -> 25 [size =\"34048000\"]\n  25 [size=\"29880320\", alpha=\"0.13\", expect_size=\"11952128\"] \n  25 -> 26 [size =\"11952128\"]\n  26 [size=\"83340800\", alpha=\"0.09\", expect_size=\"33336320\"] \n  26 -> 27 [size =\"33336320\"]\n  27 [size=\"18444800\", alpha=\"0.10\", expect_size=\"7377920\"] \n  27 -> 28 [size =\"7377920\"]\n  28 [size=\"62789120\", alpha=\"0.10\", expect_size=\"25115648\"] \n  28 -> 29 [size =\"25115648\"]\n  29 [size=\"67381760\", alpha=\"0.12\", expect_size=\"26952704\"] \n  29 -> 30 [size =\"26952704\"]\n  30 [size=\"90874880\", alpha=\"0.02\", expect_size=\"36349952\"] \n  30 -> 31 [size =\"36349952\"]\n  31 [size=\"65377280\", alpha=\"0.04\", expect_size=\"26150912\"] \n  31 -> 32 [size =\"26150912\"]\n  32 [size=\"115668480\", alpha=\"0.07\", expect_size=\"46267392\"] \n  32 -> 33 [size =\"46267392\"]\n  33 [size=\"90795520\", alpha=\"0.15\", expect_size=\"36318208\"] \n  33 -> 34 [size =\"36318208\"]\n  34 [size=\"30028800\", alpha=\"0.13\", expect_size=\"12011520\"] \n  34 -> 35 [size =\"12011520\"]\n  35 [size=\"83566080\", alpha=\"0.08\", expect_size=\"33426432\"] \n  35 -> 36 [size =\"33426432\"]\n  36 [size=\"39331840\", alpha=\"0.10\", expect_size=\"15732736\"] \n  36 -> 37 [size =\"15732736\"]\n  37 [size=\"94476800\", alpha=\"0.08\", expect_size=\"37790720\"] \n  37 -> 38 [size =\"37790720\"]\n  38 [size=\"37094400\", alpha=\"0.08\", expect_size=\"14837760\"] \n  38 -> 39 [size =\"14837760\"]\n  39 [size=\"97912320\", alpha=\"0.10\", expect_size=\"39164928\"] \n  39 -> 40 [size =\"39164928\"]\n  40 [size=\"51473920\", alpha=\"0.16\", expect_size=\"20589568\"] \n  40 -> 41 [size =\"20589568\"]\n  41 [size=\"62307840\", alpha=\"0.13\", expect_size=\"24923136\"] \n  41 -> 42 [size =\"24923136\"]\n  42 [size=\"84042240\", alpha=\"0.10\", expect_size=\"33616896\"] \n  42 -> 43 [size =\"33616896\"]\n  43 [size=\"125680640\", alpha=\"0.14\", expect_size=\"50272256\"] \n  43 -> 44 [size =\"50272256\"]\n  44 [size=\"94041600\", alpha=\"0.10\", expect_size=\"37616640\"] \n  44 -> 45 [size =\"37616640\"]\n  45 [size=\"53491200\", alpha=\"0.09\", expect_size=\"21396480\"] \n  45 -> 46 [size =\"21396480\"]\n  46 [size=\"103308800\", alpha=\"0.00\", expect_size=\"41323520\"] \n  46 -> 47 [size =\"41323520\"]\n  47 [size=\"47139840\", alpha=\"0.12\", expect_size=\"18855936\"] \n  47 -> 48 [size =\"18855936\"]\n  48 [size=\"95746560\", alpha=\"0.12\", expect_size=\"38298624\"] \n  48 -> 49 [size =\"38298624\"]\n  49 [size=\"26165760\", alpha=\"0.02\", expect_size=\"10466304\"] \n  49 -> 50 [size =\"10466304\"]\n  50 [size=\"83793920\", alpha=\"0.05\", expect_size=\"33517568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.804.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75228160\", alpha=\"0.17\", expect_size=\"30091264\"] \n  1 -> 7 [size =\"30091264\"]\n  1 -> 9 [size =\"30091264\"]\n  1 -> 11 [size =\"30091264\"]\n  1 -> 12 [size =\"30091264\"]\n  2 [size=\"24870400\", alpha=\"0.07\", expect_size=\"9948160\"] \n  3 [size=\"13196800\", alpha=\"0.06\", expect_size=\"5278720\"] \n  3 -> 10 [size =\"5278720\"]\n  4 [size=\"26426880\", alpha=\"0.19\", expect_size=\"10570752\"] \n  4 -> 7 [size =\"10570752\"]\n  4 -> 8 [size =\"10570752\"]\n  4 -> 10 [size =\"10570752\"]\n  5 [size=\"113879040\", alpha=\"0.01\", expect_size=\"45551616\"] \n  5 -> 11 [size =\"45551616\"]\n  6 [size=\"62213120\", alpha=\"0.11\", expect_size=\"24885248\"] \n  6 -> 12 [size =\"24885248\"]\n  7 [size=\"79098880\", alpha=\"0.03\", expect_size=\"31639552\"] \n  7 -> 16 [size =\"31639552\"]\n  8 [size=\"92999680\", alpha=\"0.07\", expect_size=\"37199872\"] \n  8 -> 13 [size =\"37199872\"]\n  8 -> 15 [size =\"37199872\"]\n  8 -> 16 [size =\"37199872\"]\n  8 -> 19 [size =\"37199872\"]\n  9 [size=\"21396480\", alpha=\"0.00\", expect_size=\"8558592\"] \n  9 -> 18 [size =\"8558592\"]\n  10 [size=\"119518720\", alpha=\"0.06\", expect_size=\"47807488\"] \n  11 [size=\"113052160\", alpha=\"0.04\", expect_size=\"45220864\"] \n  11 -> 13 [size =\"45220864\"]\n  12 [size=\"92725760\", alpha=\"0.08\", expect_size=\"37090304\"] \n  12 -> 13 [size =\"37090304\"]\n  12 -> 14 [size =\"37090304\"]\n  12 -> 16 [size =\"37090304\"]\n  12 -> 17 [size =\"37090304\"]\n  13 [size=\"17845760\", alpha=\"0.09\", expect_size=\"7138304\"] \n  13 -> 20 [size =\"7138304\"]\n  13 -> 25 [size =\"7138304\"]\n  14 [size=\"52303360\", alpha=\"0.05\", expect_size=\"20921344\"] \n  14 -> 25 [size =\"20921344\"]\n  14 -> 26 [size =\"20921344\"]\n  15 [size=\"47470080\", alpha=\"0.13\", expect_size=\"18988032\"] \n  15 -> 22 [size =\"18988032\"]\n  15 -> 23 [size =\"18988032\"]\n  15 -> 24 [size =\"18988032\"]\n  16 [size=\"55792640\", alpha=\"0.15\", expect_size=\"22317056\"] \n  16 -> 20 [size =\"22317056\"]\n  16 -> 22 [size =\"22317056\"]\n  16 -> 23 [size =\"22317056\"]\n  16 -> 24 [size =\"22317056\"]\n  16 -> 25 [size =\"22317056\"]\n  17 [size=\"123494400\", alpha=\"0.17\", expect_size=\"49397760\"] \n  17 -> 23 [size =\"49397760\"]\n  17 -> 24 [size =\"49397760\"]\n  17 -> 25 [size =\"49397760\"]\n  18 [size=\"20715520\", alpha=\"0.11\", expect_size=\"8286208\"] \n  18 -> 20 [size =\"8286208\"]\n  18 -> 22 [size =\"8286208\"]\n  19 [size=\"60167680\", alpha=\"0.02\", expect_size=\"24067072\"] \n  19 -> 20 [size =\"24067072\"]\n  19 -> 21 [size =\"24067072\"]\n  19 -> 22 [size =\"24067072\"]\n  19 -> 24 [size =\"24067072\"]\n  20 [size=\"61995520\", alpha=\"0.17\", expect_size=\"24798208\"] \n  20 -> 29 [size =\"24798208\"]\n  20 -> 31 [size =\"24798208\"]\n  20 -> 32 [size =\"24798208\"]\n  21 [size=\"97546240\", alpha=\"0.02\", expect_size=\"39018496\"] \n  22 [size=\"120125440\", alpha=\"0.09\", expect_size=\"48050176\"] \n  22 -> 27 [size =\"48050176\"]\n  22 -> 29 [size =\"48050176\"]\n  23 [size=\"46458880\", alpha=\"0.17\", expect_size=\"18583552\"] \n  23 -> 27 [size =\"18583552\"]\n  23 -> 30 [size =\"18583552\"]\n  24 [size=\"101788160\", alpha=\"0.06\", expect_size=\"40715264\"] \n  24 -> 28 [size =\"40715264\"]\n  24 -> 29 [size =\"40715264\"]\n  24 -> 31 [size =\"40715264\"]\n  24 -> 33 [size =\"40715264\"]\n  25 [size=\"14832640\", alpha=\"0.13\", expect_size=\"5933056\"] \n  25 -> 28 [size =\"5933056\"]\n  25 -> 29 [size =\"5933056\"]\n  25 -> 30 [size =\"5933056\"]\n  26 [size=\"89195520\", alpha=\"0.08\", expect_size=\"35678208\"] \n  26 -> 32 [size =\"35678208\"]\n  27 [size=\"60398080\", alpha=\"0.14\", expect_size=\"24159232\"] \n  27 -> 38 [size =\"24159232\"]\n  28 [size=\"42826240\", alpha=\"0.14\", expect_size=\"17130496\"] \n  28 -> 34 [size =\"17130496\"]\n  28 -> 37 [size =\"17130496\"]\n  28 -> 38 [size =\"17130496\"]\n  29 [size=\"107292160\", alpha=\"0.15\", expect_size=\"42916864\"] \n  29 -> 37 [size =\"42916864\"]\n  29 -> 38 [size =\"42916864\"]\n  30 [size=\"117329920\", alpha=\"0.14\", expect_size=\"46931968\"] \n  30 -> 38 [size =\"46931968\"]\n  30 -> 39 [size =\"46931968\"]\n  31 [size=\"96729600\", alpha=\"0.10\", expect_size=\"38691840\"] \n  31 -> 34 [size =\"38691840\"]\n  32 [size=\"107612160\", alpha=\"0.20\", expect_size=\"43044864\"] \n  32 -> 35 [size =\"43044864\"]\n  32 -> 36 [size =\"43044864\"]\n  33 [size=\"43773440\", alpha=\"0.10\", expect_size=\"17509376\"] \n  33 -> 35 [size =\"17509376\"]\n  33 -> 37 [size =\"17509376\"]\n  33 -> 38 [size =\"17509376\"]\n  33 -> 39 [size =\"17509376\"]\n  34 [size=\"23275520\", alpha=\"0.07\", expect_size=\"9310208\"] \n  35 [size=\"59432960\", alpha=\"0.10\", expect_size=\"23773184\"] \n  35 -> 43 [size =\"23773184\"]\n  36 [size=\"17093120\", alpha=\"0.01\", expect_size=\"6837248\"] \n  36 -> 45 [size =\"6837248\"]\n  37 [size=\"63324160\", alpha=\"0.09\", expect_size=\"25329664\"] \n  37 -> 40 [size =\"25329664\"]\n  37 -> 41 [size =\"25329664\"]\n  37 -> 44 [size =\"25329664\"]\n  37 -> 45 [size =\"25329664\"]\n  38 [size=\"28198400\", alpha=\"0.20\", expect_size=\"11279360\"] \n  38 -> 42 [size =\"11279360\"]\n  39 [size=\"109565440\", alpha=\"0.18\", expect_size=\"43826176\"] \n  39 -> 40 [size =\"43826176\"]\n  39 -> 44 [size =\"43826176\"]\n  39 -> 45 [size =\"43826176\"]\n  40 [size=\"79790080\", alpha=\"0.04\", expect_size=\"31916032\"] \n  40 -> 46 [size =\"31916032\"]\n  40 -> 48 [size =\"31916032\"]\n  40 -> 49 [size =\"31916032\"]\n  40 -> 50 [size =\"31916032\"]\n  41 [size=\"45283840\", alpha=\"0.05\", expect_size=\"18113536\"] \n  42 [size=\"105991680\", alpha=\"0.04\", expect_size=\"42396672\"] \n  43 [size=\"105602560\", alpha=\"0.08\", expect_size=\"42241024\"] \n  43 -> 47 [size =\"42241024\"]\n  43 -> 49 [size =\"42241024\"]\n  43 -> 50 [size =\"42241024\"]\n  44 [size=\"48855040\", alpha=\"0.08\", expect_size=\"19542016\"] \n  44 -> 47 [size =\"19542016\"]\n  44 -> 48 [size =\"19542016\"]\n  45 [size=\"92915200\", alpha=\"0.08\", expect_size=\"37166080\"] \n  45 -> 48 [size =\"37166080\"]\n  46 [size=\"36213760\", alpha=\"0.01\", expect_size=\"14485504\"] \n  47 [size=\"39403520\", alpha=\"0.01\", expect_size=\"15761408\"] \n  48 [size=\"94912000\", alpha=\"0.07\", expect_size=\"37964800\"] \n  49 [size=\"92380160\", alpha=\"0.09\", expect_size=\"36952064\"] \n  50 [size=\"78873600\", alpha=\"0.08\", expect_size=\"31549440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.805.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48701440\", alpha=\"0.00\", expect_size=\"14610432\"] \n  1 -> 16 [size =\"14610432\"]\n  1 -> 18 [size =\"14610432\"]\n  1 -> 23 [size =\"14610432\"]\n  2 [size=\"101399893\", alpha=\"0.01\", expect_size=\"30419968\"] \n  2 -> 16 [size =\"30419968\"]\n  2 -> 17 [size =\"30419968\"]\n  2 -> 18 [size =\"30419968\"]\n  2 -> 20 [size =\"30419968\"]\n  2 -> 23 [size =\"30419968\"]\n  3 [size=\"150312960\", alpha=\"0.10\", expect_size=\"45093888\"] \n  3 -> 16 [size =\"45093888\"]\n  3 -> 17 [size =\"45093888\"]\n  3 -> 19 [size =\"45093888\"]\n  3 -> 20 [size =\"45093888\"]\n  3 -> 23 [size =\"45093888\"]\n  4 [size=\"169448107\", alpha=\"0.00\", expect_size=\"50834432\"] \n  4 -> 16 [size =\"50834432\"]\n  4 -> 17 [size =\"50834432\"]\n  4 -> 18 [size =\"50834432\"]\n  4 -> 19 [size =\"50834432\"]\n  4 -> 20 [size =\"50834432\"]\n  4 -> 21 [size =\"50834432\"]\n  4 -> 23 [size =\"50834432\"]\n  5 [size=\"120040107\", alpha=\"0.04\", expect_size=\"36012032\"] \n  5 -> 15 [size =\"36012032\"]\n  5 -> 16 [size =\"36012032\"]\n  5 -> 18 [size =\"36012032\"]\n  5 -> 19 [size =\"36012032\"]\n  5 -> 21 [size =\"36012032\"]\n  5 -> 23 [size =\"36012032\"]\n  6 [size=\"61317120\", alpha=\"0.19\", expect_size=\"18395136\"] \n  6 -> 16 [size =\"18395136\"]\n  6 -> 16 [size =\"18395136\"]\n  6 -> 19 [size =\"18395136\"]\n  6 -> 23 [size =\"18395136\"]\n  7 [size=\"170236587\", alpha=\"0.12\", expect_size=\"51070976\"] \n  7 -> 14 [size =\"51070976\"]\n  7 -> 16 [size =\"51070976\"]\n  7 -> 17 [size =\"51070976\"]\n  7 -> 19 [size =\"51070976\"]\n  7 -> 22 [size =\"51070976\"]\n  7 -> 23 [size =\"51070976\"]\n  8 [size=\"100273493\", alpha=\"0.20\", expect_size=\"30082048\"] \n  8 -> 17 [size =\"30082048\"]\n  8 -> 19 [size =\"30082048\"]\n  8 -> 20 [size =\"30082048\"]\n  8 -> 21 [size =\"30082048\"]\n  8 -> 23 [size =\"30082048\"]\n  9 [size=\"144285013\", alpha=\"0.08\", expect_size=\"43285504\"] \n  9 -> 17 [size =\"43285504\"]\n  9 -> 19 [size =\"43285504\"]\n  9 -> 21 [size =\"43285504\"]\n  9 -> 23 [size =\"43285504\"]\n  10 [size=\"53162667\", alpha=\"0.07\", expect_size=\"15948800\"] \n  10 -> 14 [size =\"15948800\"]\n  10 -> 16 [size =\"15948800\"]\n  10 -> 17 [size =\"15948800\"]\n  10 -> 19 [size =\"15948800\"]\n  10 -> 20 [size =\"15948800\"]\n  10 -> 21 [size =\"15948800\"]\n  11 [size=\"24705707\", alpha=\"0.10\", expect_size=\"7411712\"] \n  11 -> 15 [size =\"7411712\"]\n  11 -> 16 [size =\"7411712\"]\n  11 -> 18 [size =\"7411712\"]\n  11 -> 19 [size =\"7411712\"]\n  11 -> 20 [size =\"7411712\"]\n  12 [size=\"25538560\", alpha=\"0.13\", expect_size=\"7661568\"] \n  12 -> 14 [size =\"7661568\"]\n  12 -> 15 [size =\"7661568\"]\n  12 -> 16 [size =\"7661568\"]\n  12 -> 17 [size =\"7661568\"]\n  12 -> 20 [size =\"7661568\"]\n  12 -> 23 [size =\"7661568\"]\n  13 [size=\"34385920\", alpha=\"0.01\", expect_size=\"10315776\"] \n  13 -> 14 [size =\"10315776\"]\n  13 -> 15 [size =\"10315776\"]\n  13 -> 16 [size =\"10315776\"]\n  13 -> 18 [size =\"10315776\"]\n  13 -> 19 [size =\"10315776\"]\n  13 -> 21 [size =\"10315776\"]\n  14 [size=\"110363307\", alpha=\"0.01\", expect_size=\"33108992\"] \n  14 -> 24 [size =\"33108992\"]\n  14 -> 25 [size =\"33108992\"]\n  14 -> 26 [size =\"33108992\"]\n  14 -> 27 [size =\"33108992\"]\n  14 -> 30 [size =\"33108992\"]\n  14 -> 31 [size =\"33108992\"]\n  14 -> 34 [size =\"33108992\"]\n  14 -> 35 [size =\"33108992\"]\n  15 [size=\"111687680\", alpha=\"0.04\", expect_size=\"33506304\"] \n  15 -> 24 [size =\"33506304\"]\n  15 -> 26 [size =\"33506304\"]\n  15 -> 27 [size =\"33506304\"]\n  15 -> 30 [size =\"33506304\"]\n  15 -> 31 [size =\"33506304\"]\n  15 -> 33 [size =\"33506304\"]\n  15 -> 34 [size =\"33506304\"]\n  15 -> 35 [size =\"33506304\"]\n  15 -> 37 [size =\"33506304\"]\n  15 -> 40 [size =\"33506304\"]\n  15 -> 43 [size =\"33506304\"]\n  15 -> 44 [size =\"33506304\"]\n  16 [size=\"139253760\", alpha=\"0.14\", expect_size=\"41776128\"] \n  16 -> 24 [size =\"41776128\"]\n  16 -> 27 [size =\"41776128\"]\n  16 -> 33 [size =\"41776128\"]\n  16 -> 34 [size =\"41776128\"]\n  16 -> 35 [size =\"41776128\"]\n  16 -> 37 [size =\"41776128\"]\n  16 -> 38 [size =\"41776128\"]\n  16 -> 41 [size =\"41776128\"]\n  17 [size=\"134560427\", alpha=\"0.17\", expect_size=\"40368128\"] \n  17 -> 24 [size =\"40368128\"]\n  17 -> 26 [size =\"40368128\"]\n  17 -> 27 [size =\"40368128\"]\n  17 -> 28 [size =\"40368128\"]\n  17 -> 29 [size =\"40368128\"]\n  17 -> 32 [size =\"40368128\"]\n  17 -> 33 [size =\"40368128\"]\n  17 -> 34 [size =\"40368128\"]\n  17 -> 35 [size =\"40368128\"]\n  17 -> 38 [size =\"40368128\"]\n  17 -> 39 [size =\"40368128\"]\n  17 -> 40 [size =\"40368128\"]\n  17 -> 41 [size =\"40368128\"]\n  17 -> 43 [size =\"40368128\"]\n  17 -> 44 [size =\"40368128\"]\n  18 [size=\"68177920\", alpha=\"0.06\", expect_size=\"20453376\"] \n  18 -> 24 [size =\"20453376\"]\n  18 -> 26 [size =\"20453376\"]\n  18 -> 27 [size =\"20453376\"]\n  18 -> 28 [size =\"20453376\"]\n  18 -> 29 [size =\"20453376\"]\n  18 -> 30 [size =\"20453376\"]\n  18 -> 32 [size =\"20453376\"]\n  18 -> 33 [size =\"20453376\"]\n  18 -> 35 [size =\"20453376\"]\n  18 -> 38 [size =\"20453376\"]\n  18 -> 40 [size =\"20453376\"]\n  18 -> 40 [size =\"20453376\"]\n  19 [size=\"64768000\", alpha=\"0.02\", expect_size=\"19430400\"] \n  19 -> 24 [size =\"19430400\"]\n  19 -> 25 [size =\"19430400\"]\n  19 -> 27 [size =\"19430400\"]\n  19 -> 28 [size =\"19430400\"]\n  19 -> 29 [size =\"19430400\"]\n  19 -> 31 [size =\"19430400\"]\n  19 -> 32 [size =\"19430400\"]\n  19 -> 33 [size =\"19430400\"]\n  19 -> 37 [size =\"19430400\"]\n  19 -> 38 [size =\"19430400\"]\n  19 -> 40 [size =\"19430400\"]\n  19 -> 42 [size =\"19430400\"]\n  19 -> 43 [size =\"19430400\"]\n  19 -> 44 [size =\"19430400\"]\n  20 [size=\"130573653\", alpha=\"0.03\", expect_size=\"39172096\"] \n  20 -> 27 [size =\"39172096\"]\n  20 -> 28 [size =\"39172096\"]\n  20 -> 32 [size =\"39172096\"]\n  20 -> 33 [size =\"39172096\"]\n  20 -> 34 [size =\"39172096\"]\n  20 -> 37 [size =\"39172096\"]\n  20 -> 40 [size =\"39172096\"]\n  20 -> 44 [size =\"39172096\"]\n  21 [size=\"30757547\", alpha=\"0.07\", expect_size=\"9227264\"] \n  21 -> 24 [size =\"9227264\"]\n  21 -> 25 [size =\"9227264\"]\n  21 -> 27 [size =\"9227264\"]\n  21 -> 28 [size =\"9227264\"]\n  21 -> 32 [size =\"9227264\"]\n  21 -> 33 [size =\"9227264\"]\n  21 -> 34 [size =\"9227264\"]\n  21 -> 36 [size =\"9227264\"]\n  21 -> 37 [size =\"9227264\"]\n  21 -> 38 [size =\"9227264\"]\n  21 -> 41 [size =\"9227264\"]\n  21 -> 44 [size =\"9227264\"]\n  22 [size=\"110496427\", alpha=\"0.02\", expect_size=\"33148928\"] \n  22 -> 24 [size =\"33148928\"]\n  22 -> 26 [size =\"33148928\"]\n  22 -> 28 [size =\"33148928\"]\n  22 -> 28 [size =\"33148928\"]\n  22 -> 30 [size =\"33148928\"]\n  22 -> 32 [size =\"33148928\"]\n  22 -> 35 [size =\"33148928\"]\n  22 -> 36 [size =\"33148928\"]\n  22 -> 38 [size =\"33148928\"]\n  22 -> 40 [size =\"33148928\"]\n  22 -> 43 [size =\"33148928\"]\n  23 [size=\"54285653\", alpha=\"0.14\", expect_size=\"16285696\"] \n  23 -> 24 [size =\"16285696\"]\n  23 -> 26 [size =\"16285696\"]\n  23 -> 30 [size =\"16285696\"]\n  23 -> 32 [size =\"16285696\"]\n  23 -> 33 [size =\"16285696\"]\n  23 -> 34 [size =\"16285696\"]\n  23 -> 35 [size =\"16285696\"]\n  23 -> 36 [size =\"16285696\"]\n  23 -> 38 [size =\"16285696\"]\n  23 -> 39 [size =\"16285696\"]\n  23 -> 40 [size =\"16285696\"]\n  23 -> 41 [size =\"16285696\"]\n  23 -> 43 [size =\"16285696\"]\n  24 [size=\"64341333\", alpha=\"0.05\", expect_size=\"19302400\"] \n  24 -> 46 [size =\"19302400\"]\n  24 -> 48 [size =\"19302400\"]\n  24 -> 49 [size =\"19302400\"]\n  24 -> 50 [size =\"19302400\"]\n  25 [size=\"71482027\", alpha=\"0.09\", expect_size=\"21444608\"] \n  25 -> 46 [size =\"21444608\"]\n  25 -> 49 [size =\"21444608\"]\n  25 -> 49 [size =\"21444608\"]\n  25 -> 50 [size =\"21444608\"]\n  26 [size=\"100416853\", alpha=\"0.19\", expect_size=\"30125056\"] \n  26 -> 46 [size =\"30125056\"]\n  26 -> 47 [size =\"30125056\"]\n  26 -> 50 [size =\"30125056\"]\n  27 [size=\"50029227\", alpha=\"0.08\", expect_size=\"15008768\"] \n  27 -> 46 [size =\"15008768\"]\n  27 -> 47 [size =\"15008768\"]\n  27 -> 49 [size =\"15008768\"]\n  27 -> 50 [size =\"15008768\"]\n  28 [size=\"23965013\", alpha=\"0.08\", expect_size=\"7189504\"] \n  28 -> 46 [size =\"7189504\"]\n  28 -> 48 [size =\"7189504\"]\n  29 [size=\"72523093\", alpha=\"0.04\", expect_size=\"21756928\"] \n  29 -> 46 [size =\"21756928\"]\n  29 -> 47 [size =\"21756928\"]\n  29 -> 48 [size =\"21756928\"]\n  29 -> 50 [size =\"21756928\"]\n  30 [size=\"89552213\", alpha=\"0.04\", expect_size=\"26865664\"] \n  30 -> 46 [size =\"26865664\"]\n  30 -> 47 [size =\"26865664\"]\n  30 -> 48 [size =\"26865664\"]\n  30 -> 50 [size =\"26865664\"]\n  31 [size=\"109363200\", alpha=\"0.06\", expect_size=\"32808960\"] \n  31 -> 46 [size =\"32808960\"]\n  31 -> 50 [size =\"32808960\"]\n  32 [size=\"163181227\", alpha=\"0.08\", expect_size=\"48954368\"] \n  32 -> 46 [size =\"48954368\"]\n  32 -> 50 [size =\"48954368\"]\n  33 [size=\"20360533\", alpha=\"0.13\", expect_size=\"6108160\"] \n  33 -> 45 [size =\"6108160\"]\n  33 -> 46 [size =\"6108160\"]\n  33 -> 47 [size =\"6108160\"]\n  33 -> 50 [size =\"6108160\"]\n  34 [size=\"128310613\", alpha=\"0.09\", expect_size=\"38493184\"] \n  34 -> 46 [size =\"38493184\"]\n  34 -> 46 [size =\"38493184\"]\n  34 -> 47 [size =\"38493184\"]\n  34 -> 48 [size =\"38493184\"]\n  34 -> 50 [size =\"38493184\"]\n  35 [size=\"167147520\", alpha=\"0.17\", expect_size=\"50144256\"] \n  35 -> 45 [size =\"50144256\"]\n  35 -> 47 [size =\"50144256\"]\n  35 -> 48 [size =\"50144256\"]\n  35 -> 49 [size =\"50144256\"]\n  35 -> 50 [size =\"50144256\"]\n  36 [size=\"82148693\", alpha=\"0.01\", expect_size=\"24644608\"] \n  36 -> 46 [size =\"24644608\"]\n  36 -> 47 [size =\"24644608\"]\n  36 -> 48 [size =\"24644608\"]\n  36 -> 49 [size =\"24644608\"]\n  36 -> 50 [size =\"24644608\"]\n  37 [size=\"74451627\", alpha=\"0.20\", expect_size=\"22335488\"] \n  37 -> 46 [size =\"22335488\"]\n  37 -> 47 [size =\"22335488\"]\n  37 -> 50 [size =\"22335488\"]\n  38 [size=\"139523413\", alpha=\"0.05\", expect_size=\"41857024\"] \n  38 -> 48 [size =\"41857024\"]\n  38 -> 49 [size =\"41857024\"]\n  39 [size=\"45598720\", alpha=\"0.16\", expect_size=\"13679616\"] \n  39 -> 49 [size =\"13679616\"]\n  39 -> 50 [size =\"13679616\"]\n  40 [size=\"76772693\", alpha=\"0.02\", expect_size=\"23031808\"] \n  40 -> 46 [size =\"23031808\"]\n  40 -> 48 [size =\"23031808\"]\n  40 -> 50 [size =\"23031808\"]\n  41 [size=\"111441920\", alpha=\"0.09\", expect_size=\"33432576\"] \n  41 -> 46 [size =\"33432576\"]\n  41 -> 47 [size =\"33432576\"]\n  41 -> 48 [size =\"33432576\"]\n  41 -> 49 [size =\"33432576\"]\n  41 -> 50 [size =\"33432576\"]\n  42 [size=\"156839253\", alpha=\"0.08\", expect_size=\"47051776\"] \n  42 -> 46 [size =\"47051776\"]\n  42 -> 47 [size =\"47051776\"]\n  42 -> 49 [size =\"47051776\"]\n  43 [size=\"63740587\", alpha=\"0.12\", expect_size=\"19122176\"] \n  43 -> 46 [size =\"19122176\"]\n  43 -> 47 [size =\"19122176\"]\n  43 -> 48 [size =\"19122176\"]\n  43 -> 49 [size =\"19122176\"]\n  44 [size=\"163631787\", alpha=\"0.02\", expect_size=\"49089536\"] \n  44 -> 46 [size =\"49089536\"]\n  44 -> 49 [size =\"49089536\"]\n  45 [size=\"77540693\", alpha=\"0.18\", expect_size=\"23262208\"] \n  46 [size=\"56968533\", alpha=\"0.05\", expect_size=\"17090560\"] \n  47 [size=\"66402987\", alpha=\"0.16\", expect_size=\"19920896\"] \n  48 [size=\"65645227\", alpha=\"0.09\", expect_size=\"19693568\"] \n  49 [size=\"105400320\", alpha=\"0.08\", expect_size=\"31620096\"] \n  50 [size=\"75666773\", alpha=\"0.16\", expect_size=\"22700032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.806.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"45278720\", alpha=\"0.19\", expect_size=\"18111488\"] \n  1 -> 2 [size =\"18111488\"]\n  2 [size=\"32186880\", alpha=\"0.00\", expect_size=\"12874752\"] \n  2 -> 3 [size =\"12874752\"]\n  3 [size=\"32145920\", alpha=\"0.18\", expect_size=\"12858368\"] \n  3 -> 4 [size =\"12858368\"]\n  4 [size=\"33187840\", alpha=\"0.11\", expect_size=\"13275136\"] \n  4 -> 5 [size =\"13275136\"]\n  5 [size=\"50841600\", alpha=\"0.06\", expect_size=\"20336640\"] \n  5 -> 6 [size =\"20336640\"]\n  6 [size=\"123159040\", alpha=\"0.02\", expect_size=\"49263616\"] \n  6 -> 7 [size =\"49263616\"]\n  7 [size=\"45921280\", alpha=\"0.14\", expect_size=\"18368512\"] \n  7 -> 8 [size =\"18368512\"]\n  8 [size=\"54963200\", alpha=\"0.10\", expect_size=\"21985280\"] \n  8 -> 9 [size =\"21985280\"]\n  9 [size=\"39531520\", alpha=\"0.16\", expect_size=\"15812608\"] \n  9 -> 10 [size =\"15812608\"]\n  10 [size=\"16532480\", alpha=\"0.05\", expect_size=\"6612992\"] \n  10 -> 11 [size =\"6612992\"]\n  11 [size=\"60951040\", alpha=\"0.17\", expect_size=\"24380416\"] \n  11 -> 12 [size =\"24380416\"]\n  12 [size=\"57039360\", alpha=\"0.08\", expect_size=\"22815744\"] \n  12 -> 13 [size =\"22815744\"]\n  13 [size=\"59148800\", alpha=\"0.16\", expect_size=\"23659520\"] \n  13 -> 14 [size =\"23659520\"]\n  14 [size=\"47784960\", alpha=\"0.04\", expect_size=\"19113984\"] \n  14 -> 15 [size =\"19113984\"]\n  15 [size=\"115448320\", alpha=\"0.11\", expect_size=\"46179328\"] \n  15 -> 16 [size =\"46179328\"]\n  16 [size=\"32793600\", alpha=\"0.10\", expect_size=\"13117440\"] \n  16 -> 17 [size =\"13117440\"]\n  17 [size=\"46062080\", alpha=\"0.02\", expect_size=\"18424832\"] \n  17 -> 18 [size =\"18424832\"]\n  18 [size=\"125944320\", alpha=\"0.15\", expect_size=\"50377728\"] \n  18 -> 19 [size =\"50377728\"]\n  19 [size=\"66124800\", alpha=\"0.12\", expect_size=\"26449920\"] \n  19 -> 20 [size =\"26449920\"]\n  20 [size=\"40204800\", alpha=\"0.01\", expect_size=\"16081920\"] \n  20 -> 21 [size =\"16081920\"]\n  21 [size=\"68881920\", alpha=\"0.16\", expect_size=\"27552768\"] \n  21 -> 22 [size =\"27552768\"]\n  22 [size=\"51921920\", alpha=\"0.14\", expect_size=\"20768768\"] \n  22 -> 23 [size =\"20768768\"]\n  23 [size=\"96524800\", alpha=\"0.16\", expect_size=\"38609920\"] \n  23 -> 24 [size =\"38609920\"]\n  24 [size=\"73884160\", alpha=\"0.01\", expect_size=\"29553664\"] \n  24 -> 25 [size =\"29553664\"]\n  25 [size=\"95365120\", alpha=\"0.12\", expect_size=\"38146048\"] \n  25 -> 26 [size =\"38146048\"]\n  26 [size=\"42027520\", alpha=\"0.02\", expect_size=\"16811008\"] \n  26 -> 27 [size =\"16811008\"]\n  27 [size=\"98152960\", alpha=\"0.17\", expect_size=\"39261184\"] \n  27 -> 28 [size =\"39261184\"]\n  28 [size=\"109283840\", alpha=\"0.20\", expect_size=\"43713536\"] \n  28 -> 29 [size =\"43713536\"]\n  29 [size=\"82480640\", alpha=\"0.07\", expect_size=\"32992256\"] \n  29 -> 30 [size =\"32992256\"]\n  30 [size=\"33856000\", alpha=\"0.14\", expect_size=\"13542400\"] \n  30 -> 31 [size =\"13542400\"]\n  31 [size=\"41290240\", alpha=\"0.10\", expect_size=\"16516096\"] \n  31 -> 32 [size =\"16516096\"]\n  32 [size=\"18995200\", alpha=\"0.13\", expect_size=\"7598080\"] \n  32 -> 33 [size =\"7598080\"]\n  33 [size=\"104017920\", alpha=\"0.04\", expect_size=\"41607168\"] \n  33 -> 34 [size =\"41607168\"]\n  34 [size=\"79464960\", alpha=\"0.01\", expect_size=\"31785984\"] \n  34 -> 35 [size =\"31785984\"]\n  35 [size=\"83384320\", alpha=\"0.15\", expect_size=\"33353728\"] \n  35 -> 36 [size =\"33353728\"]\n  36 [size=\"35545600\", alpha=\"0.13\", expect_size=\"14218240\"] \n  36 -> 37 [size =\"14218240\"]\n  37 [size=\"46005760\", alpha=\"0.16\", expect_size=\"18402304\"] \n  37 -> 38 [size =\"18402304\"]\n  38 [size=\"29614080\", alpha=\"0.18\", expect_size=\"11845632\"] \n  38 -> 39 [size =\"11845632\"]\n  39 [size=\"28226560\", alpha=\"0.09\", expect_size=\"11290624\"] \n  39 -> 40 [size =\"11290624\"]\n  40 [size=\"68267520\", alpha=\"0.05\", expect_size=\"27307008\"] \n  40 -> 41 [size =\"27307008\"]\n  41 [size=\"35205120\", alpha=\"0.11\", expect_size=\"14082048\"] \n  41 -> 42 [size =\"14082048\"]\n  42 [size=\"94845440\", alpha=\"0.03\", expect_size=\"37938176\"] \n  42 -> 43 [size =\"37938176\"]\n  43 [size=\"55196160\", alpha=\"0.09\", expect_size=\"22078464\"] \n  43 -> 44 [size =\"22078464\"]\n  44 [size=\"80261120\", alpha=\"0.05\", expect_size=\"32104448\"] \n  44 -> 45 [size =\"32104448\"]\n  45 [size=\"86755840\", alpha=\"0.15\", expect_size=\"34702336\"] \n  45 -> 46 [size =\"34702336\"]\n  46 [size=\"59056640\", alpha=\"0.10\", expect_size=\"23622656\"] \n  46 -> 47 [size =\"23622656\"]\n  47 [size=\"16855040\", alpha=\"0.20\", expect_size=\"6742016\"] \n  47 -> 48 [size =\"6742016\"]\n  48 [size=\"111070720\", alpha=\"0.06\", expect_size=\"44428288\"] \n  48 -> 49 [size =\"44428288\"]\n  49 [size=\"100646400\", alpha=\"0.03\", expect_size=\"40258560\"] \n  49 -> 50 [size =\"40258560\"]\n  50 [size=\"38604800\", alpha=\"0.05\", expect_size=\"15441920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.807.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27975680\", alpha=\"0.13\", expect_size=\"13987840\"] \n  1 -> 3 [size =\"13987840\"]\n  1 -> 4 [size =\"13987840\"]\n  2 [size=\"104312832\", alpha=\"0.06\", expect_size=\"52156416\"] \n  2 -> 3 [size =\"52156416\"]\n  2 -> 4 [size =\"52156416\"]\n  3 [size=\"81997824\", alpha=\"0.01\", expect_size=\"40998912\"] \n  3 -> 5 [size =\"40998912\"]\n  4 [size=\"46292992\", alpha=\"0.09\", expect_size=\"23146496\"] \n  4 -> 5 [size =\"23146496\"]\n  5 [size=\"61102080\", alpha=\"0.17\", expect_size=\"30551040\"] \n  5 -> 6 [size =\"30551040\"]\n  6 [size=\"63395840\", alpha=\"0.12\", expect_size=\"31697920\"] \n  6 -> 7 [size =\"31697920\"]\n  6 -> 8 [size =\"31697920\"]\n  7 [size=\"97095680\", alpha=\"0.19\", expect_size=\"48547840\"] \n  7 -> 9 [size =\"48547840\"]\n  8 [size=\"56377344\", alpha=\"0.13\", expect_size=\"28188672\"] \n  8 -> 9 [size =\"28188672\"]\n  9 [size=\"51447808\", alpha=\"0.00\", expect_size=\"25723904\"] \n  9 -> 10 [size =\"25723904\"]\n  9 -> 11 [size =\"25723904\"]\n  10 [size=\"22743040\", alpha=\"0.19\", expect_size=\"11371520\"] \n  10 -> 12 [size =\"11371520\"]\n  10 -> 13 [size =\"11371520\"]\n  10 -> 14 [size =\"11371520\"]\n  11 [size=\"96897024\", alpha=\"0.05\", expect_size=\"48448512\"] \n  11 -> 12 [size =\"48448512\"]\n  11 -> 13 [size =\"48448512\"]\n  12 [size=\"62959616\", alpha=\"0.04\", expect_size=\"31479808\"] \n  12 -> 16 [size =\"31479808\"]\n  13 [size=\"92729344\", alpha=\"0.07\", expect_size=\"46364672\"] \n  13 -> 15 [size =\"46364672\"]\n  14 [size=\"98185216\", alpha=\"0.18\", expect_size=\"49092608\"] \n  14 -> 15 [size =\"49092608\"]\n  15 [size=\"44331008\", alpha=\"0.11\", expect_size=\"22165504\"] \n  15 -> 17 [size =\"22165504\"]\n  16 [size=\"31625216\", alpha=\"0.12\", expect_size=\"15812608\"] \n  16 -> 17 [size =\"15812608\"]\n  16 -> 18 [size =\"15812608\"]\n  17 [size=\"86421504\", alpha=\"0.02\", expect_size=\"43210752\"] \n  17 -> 20 [size =\"43210752\"]\n  18 [size=\"83118080\", alpha=\"0.13\", expect_size=\"41559040\"] \n  18 -> 19 [size =\"41559040\"]\n  18 -> 20 [size =\"41559040\"]\n  19 [size=\"49190912\", alpha=\"0.01\", expect_size=\"24595456\"] \n  19 -> 23 [size =\"24595456\"]\n  20 [size=\"51228672\", alpha=\"0.08\", expect_size=\"25614336\"] \n  20 -> 21 [size =\"25614336\"]\n  20 -> 22 [size =\"25614336\"]\n  20 -> 23 [size =\"25614336\"]\n  21 [size=\"46567424\", alpha=\"0.19\", expect_size=\"23283712\"] \n  22 [size=\"68874240\", alpha=\"0.10\", expect_size=\"34437120\"] \n  22 -> 24 [size =\"34437120\"]\n  23 [size=\"86200320\", alpha=\"0.16\", expect_size=\"43100160\"] \n  24 [size=\"26150912\", alpha=\"0.09\", expect_size=\"13075456\"] \n  24 -> 25 [size =\"13075456\"]\n  24 -> 26 [size =\"13075456\"]\n  24 -> 27 [size =\"13075456\"]\n  25 [size=\"16523264\", alpha=\"0.14\", expect_size=\"8261632\"] \n  25 -> 28 [size =\"8261632\"]\n  25 -> 30 [size =\"8261632\"]\n  25 -> 30 [size =\"8261632\"]\n  25 -> 31 [size =\"8261632\"]\n  26 [size=\"66695168\", alpha=\"0.09\", expect_size=\"33347584\"] \n  26 -> 29 [size =\"33347584\"]\n  26 -> 31 [size =\"33347584\"]\n  27 [size=\"30296064\", alpha=\"0.03\", expect_size=\"15148032\"] \n  27 -> 28 [size =\"15148032\"]\n  27 -> 29 [size =\"15148032\"]\n  27 -> 30 [size =\"15148032\"]\n  27 -> 31 [size =\"15148032\"]\n  28 [size=\"38918144\", alpha=\"0.06\", expect_size=\"19459072\"] \n  28 -> 32 [size =\"19459072\"]\n  28 -> 34 [size =\"19459072\"]\n  28 -> 35 [size =\"19459072\"]\n  29 [size=\"100806656\", alpha=\"0.18\", expect_size=\"50403328\"] \n  29 -> 33 [size =\"50403328\"]\n  29 -> 34 [size =\"50403328\"]\n  29 -> 35 [size =\"50403328\"]\n  30 [size=\"12664832\", alpha=\"0.13\", expect_size=\"6332416\"] \n  30 -> 34 [size =\"6332416\"]\n  30 -> 35 [size =\"6332416\"]\n  31 [size=\"52576256\", alpha=\"0.06\", expect_size=\"26288128\"] \n  31 -> 34 [size =\"26288128\"]\n  31 -> 35 [size =\"26288128\"]\n  32 [size=\"49289216\", alpha=\"0.11\", expect_size=\"24644608\"] \n  32 -> 36 [size =\"24644608\"]\n  33 [size=\"96632832\", alpha=\"0.12\", expect_size=\"48316416\"] \n  33 -> 36 [size =\"48316416\"]\n  34 [size=\"77373440\", alpha=\"0.12\", expect_size=\"38686720\"] \n  34 -> 36 [size =\"38686720\"]\n  35 [size=\"27320320\", alpha=\"0.20\", expect_size=\"13660160\"] \n  35 -> 36 [size =\"13660160\"]\n  35 -> 37 [size =\"13660160\"]\n  36 [size=\"91463680\", alpha=\"0.12\", expect_size=\"45731840\"] \n  36 -> 38 [size =\"45731840\"]\n  36 -> 39 [size =\"45731840\"]\n  36 -> 40 [size =\"45731840\"]\n  37 [size=\"39598080\", alpha=\"0.20\", expect_size=\"19799040\"] \n  37 -> 38 [size =\"19799040\"]\n  37 -> 39 [size =\"19799040\"]\n  37 -> 40 [size =\"19799040\"]\n  38 [size=\"52707328\", alpha=\"0.03\", expect_size=\"26353664\"] \n  38 -> 41 [size =\"26353664\"]\n  38 -> 42 [size =\"26353664\"]\n  38 -> 44 [size =\"26353664\"]\n  39 [size=\"82309120\", alpha=\"0.15\", expect_size=\"41154560\"] \n  39 -> 41 [size =\"41154560\"]\n  39 -> 42 [size =\"41154560\"]\n  39 -> 44 [size =\"41154560\"]\n  40 [size=\"74999808\", alpha=\"0.15\", expect_size=\"37499904\"] \n  40 -> 41 [size =\"37499904\"]\n  40 -> 43 [size =\"37499904\"]\n  41 [size=\"43034624\", alpha=\"0.03\", expect_size=\"21517312\"] \n  41 -> 45 [size =\"21517312\"]\n  41 -> 46 [size =\"21517312\"]\n  41 -> 47 [size =\"21517312\"]\n  41 -> 48 [size =\"21517312\"]\n  42 [size=\"72826880\", alpha=\"0.03\", expect_size=\"36413440\"] \n  42 -> 45 [size =\"36413440\"]\n  42 -> 46 [size =\"36413440\"]\n  42 -> 48 [size =\"36413440\"]\n  43 [size=\"28110848\", alpha=\"0.19\", expect_size=\"14055424\"] \n  43 -> 45 [size =\"14055424\"]\n  43 -> 46 [size =\"14055424\"]\n  44 [size=\"85497856\", alpha=\"0.19\", expect_size=\"42748928\"] \n  44 -> 45 [size =\"42748928\"]\n  44 -> 46 [size =\"42748928\"]\n  44 -> 47 [size =\"42748928\"]\n  45 [size=\"49577984\", alpha=\"0.20\", expect_size=\"24788992\"] \n  45 -> 50 [size =\"24788992\"]\n  46 [size=\"48568320\", alpha=\"0.12\", expect_size=\"24284160\"] \n  46 -> 49 [size =\"24284160\"]\n  46 -> 50 [size =\"24284160\"]\n  47 [size=\"103608320\", alpha=\"0.09\", expect_size=\"51804160\"] \n  47 -> 50 [size =\"51804160\"]\n  48 [size=\"101890048\", alpha=\"0.12\", expect_size=\"50945024\"] \n  48 -> 49 [size =\"50945024\"]\n  48 -> 50 [size =\"50945024\"]\n  49 [size=\"21676032\", alpha=\"0.14\", expect_size=\"10838016\"] \n  50 [size=\"90415104\", alpha=\"0.17\", expect_size=\"45207552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.808.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38889472\", alpha=\"0.03\", expect_size=\"19444736\"] \n  1 -> 16 [size =\"19444736\"]\n  1 -> 19 [size =\"19444736\"]\n  1 -> 20 [size =\"19444736\"]\n  1 -> 21 [size =\"19444736\"]\n  1 -> 25 [size =\"19444736\"]\n  2 [size=\"86157312\", alpha=\"0.01\", expect_size=\"43078656\"] \n  2 -> 15 [size =\"43078656\"]\n  2 -> 16 [size =\"43078656\"]\n  2 -> 17 [size =\"43078656\"]\n  2 -> 21 [size =\"43078656\"]\n  2 -> 22 [size =\"43078656\"]\n  2 -> 23 [size =\"43078656\"]\n  2 -> 24 [size =\"43078656\"]\n  3 [size=\"95361024\", alpha=\"0.08\", expect_size=\"47680512\"] \n  3 -> 20 [size =\"47680512\"]\n  3 -> 21 [size =\"47680512\"]\n  3 -> 22 [size =\"47680512\"]\n  3 -> 23 [size =\"47680512\"]\n  4 [size=\"36415488\", alpha=\"0.15\", expect_size=\"18207744\"] \n  4 -> 16 [size =\"18207744\"]\n  4 -> 17 [size =\"18207744\"]\n  4 -> 20 [size =\"18207744\"]\n  4 -> 21 [size =\"18207744\"]\n  4 -> 22 [size =\"18207744\"]\n  4 -> 23 [size =\"18207744\"]\n  4 -> 25 [size =\"18207744\"]\n  5 [size=\"80285696\", alpha=\"0.07\", expect_size=\"40142848\"] \n  5 -> 16 [size =\"40142848\"]\n  5 -> 17 [size =\"40142848\"]\n  5 -> 20 [size =\"40142848\"]\n  5 -> 21 [size =\"40142848\"]\n  5 -> 23 [size =\"40142848\"]\n  5 -> 24 [size =\"40142848\"]\n  5 -> 25 [size =\"40142848\"]\n  5 -> 27 [size =\"40142848\"]\n  6 [size=\"81049600\", alpha=\"0.06\", expect_size=\"40524800\"] \n  6 -> 14 [size =\"40524800\"]\n  6 -> 17 [size =\"40524800\"]\n  6 -> 20 [size =\"40524800\"]\n  6 -> 21 [size =\"40524800\"]\n  6 -> 23 [size =\"40524800\"]\n  6 -> 24 [size =\"40524800\"]\n  6 -> 25 [size =\"40524800\"]\n  6 -> 26 [size =\"40524800\"]\n  6 -> 27 [size =\"40524800\"]\n  7 [size=\"28057600\", alpha=\"0.19\", expect_size=\"14028800\"] \n  7 -> 17 [size =\"14028800\"]\n  7 -> 20 [size =\"14028800\"]\n  7 -> 21 [size =\"14028800\"]\n  7 -> 22 [size =\"14028800\"]\n  7 -> 23 [size =\"14028800\"]\n  7 -> 24 [size =\"14028800\"]\n  8 [size=\"95467520\", alpha=\"0.03\", expect_size=\"47733760\"] \n  8 -> 16 [size =\"47733760\"]\n  8 -> 20 [size =\"47733760\"]\n  8 -> 22 [size =\"47733760\"]\n  8 -> 23 [size =\"47733760\"]\n  8 -> 24 [size =\"47733760\"]\n  8 -> 25 [size =\"47733760\"]\n  9 [size=\"91631616\", alpha=\"0.02\", expect_size=\"45815808\"] \n  9 -> 16 [size =\"45815808\"]\n  9 -> 17 [size =\"45815808\"]\n  9 -> 20 [size =\"45815808\"]\n  9 -> 21 [size =\"45815808\"]\n  9 -> 22 [size =\"45815808\"]\n  9 -> 23 [size =\"45815808\"]\n  9 -> 24 [size =\"45815808\"]\n  9 -> 26 [size =\"45815808\"]\n  10 [size=\"98336768\", alpha=\"0.08\", expect_size=\"49168384\"] \n  10 -> 16 [size =\"49168384\"]\n  10 -> 17 [size =\"49168384\"]\n  10 -> 18 [size =\"49168384\"]\n  10 -> 21 [size =\"49168384\"]\n  10 -> 22 [size =\"49168384\"]\n  10 -> 23 [size =\"49168384\"]\n  10 -> 25 [size =\"49168384\"]\n  11 [size=\"73787392\", alpha=\"0.07\", expect_size=\"36893696\"] \n  11 -> 16 [size =\"36893696\"]\n  11 -> 17 [size =\"36893696\"]\n  11 -> 19 [size =\"36893696\"]\n  11 -> 20 [size =\"36893696\"]\n  11 -> 21 [size =\"36893696\"]\n  11 -> 22 [size =\"36893696\"]\n  11 -> 23 [size =\"36893696\"]\n  11 -> 24 [size =\"36893696\"]\n  11 -> 25 [size =\"36893696\"]\n  11 -> 27 [size =\"36893696\"]\n  12 [size=\"89980928\", alpha=\"0.06\", expect_size=\"44990464\"] \n  12 -> 14 [size =\"44990464\"]\n  12 -> 17 [size =\"44990464\"]\n  12 -> 20 [size =\"44990464\"]\n  12 -> 21 [size =\"44990464\"]\n  12 -> 23 [size =\"44990464\"]\n  12 -> 24 [size =\"44990464\"]\n  12 -> 25 [size =\"44990464\"]\n  13 [size=\"96065536\", alpha=\"0.04\", expect_size=\"48032768\"] \n  13 -> 17 [size =\"48032768\"]\n  13 -> 20 [size =\"48032768\"]\n  13 -> 25 [size =\"48032768\"]\n  14 [size=\"38598656\", alpha=\"0.03\", expect_size=\"19299328\"] \n  14 -> 29 [size =\"19299328\"]\n  14 -> 30 [size =\"19299328\"]\n  14 -> 31 [size =\"19299328\"]\n  14 -> 32 [size =\"19299328\"]\n  14 -> 34 [size =\"19299328\"]\n  14 -> 35 [size =\"19299328\"]\n  14 -> 36 [size =\"19299328\"]\n  14 -> 37 [size =\"19299328\"]\n  14 -> 39 [size =\"19299328\"]\n  14 -> 40 [size =\"19299328\"]\n  15 [size=\"16549888\", alpha=\"0.07\", expect_size=\"8274944\"] \n  15 -> 29 [size =\"8274944\"]\n  15 -> 30 [size =\"8274944\"]\n  15 -> 33 [size =\"8274944\"]\n  15 -> 34 [size =\"8274944\"]\n  15 -> 36 [size =\"8274944\"]\n  15 -> 38 [size =\"8274944\"]\n  15 -> 39 [size =\"8274944\"]\n  15 -> 40 [size =\"8274944\"]\n  16 [size=\"48146432\", alpha=\"0.05\", expect_size=\"24073216\"] \n  16 -> 29 [size =\"24073216\"]\n  16 -> 30 [size =\"24073216\"]\n  16 -> 32 [size =\"24073216\"]\n  16 -> 36 [size =\"24073216\"]\n  16 -> 36 [size =\"24073216\"]\n  16 -> 37 [size =\"24073216\"]\n  16 -> 40 [size =\"24073216\"]\n  16 -> 40 [size =\"24073216\"]\n  17 [size=\"76060672\", alpha=\"0.13\", expect_size=\"38030336\"] \n  17 -> 28 [size =\"38030336\"]\n  17 -> 29 [size =\"38030336\"]\n  17 -> 30 [size =\"38030336\"]\n  17 -> 35 [size =\"38030336\"]\n  17 -> 37 [size =\"38030336\"]\n  17 -> 39 [size =\"38030336\"]\n  17 -> 40 [size =\"38030336\"]\n  17 -> 41 [size =\"38030336\"]\n  18 [size=\"71870464\", alpha=\"0.17\", expect_size=\"35935232\"] \n  18 -> 29 [size =\"35935232\"]\n  18 -> 34 [size =\"35935232\"]\n  18 -> 38 [size =\"35935232\"]\n  18 -> 39 [size =\"35935232\"]\n  18 -> 40 [size =\"35935232\"]\n  18 -> 41 [size =\"35935232\"]\n  19 [size=\"86122496\", alpha=\"0.01\", expect_size=\"43061248\"] \n  19 -> 30 [size =\"43061248\"]\n  19 -> 36 [size =\"43061248\"]\n  19 -> 39 [size =\"43061248\"]\n  19 -> 39 [size =\"43061248\"]\n  20 [size=\"96839680\", alpha=\"0.08\", expect_size=\"48419840\"] \n  20 -> 28 [size =\"48419840\"]\n  20 -> 29 [size =\"48419840\"]\n  20 -> 34 [size =\"48419840\"]\n  20 -> 35 [size =\"48419840\"]\n  20 -> 39 [size =\"48419840\"]\n  20 -> 40 [size =\"48419840\"]\n  21 [size=\"37883904\", alpha=\"0.02\", expect_size=\"18941952\"] \n  21 -> 28 [size =\"18941952\"]\n  21 -> 29 [size =\"18941952\"]\n  21 -> 30 [size =\"18941952\"]\n  21 -> 31 [size =\"18941952\"]\n  21 -> 34 [size =\"18941952\"]\n  21 -> 35 [size =\"18941952\"]\n  21 -> 37 [size =\"18941952\"]\n  21 -> 39 [size =\"18941952\"]\n  22 [size=\"69998592\", alpha=\"0.11\", expect_size=\"34999296\"] \n  22 -> 28 [size =\"34999296\"]\n  22 -> 29 [size =\"34999296\"]\n  22 -> 30 [size =\"34999296\"]\n  22 -> 31 [size =\"34999296\"]\n  22 -> 34 [size =\"34999296\"]\n  22 -> 35 [size =\"34999296\"]\n  22 -> 37 [size =\"34999296\"]\n  22 -> 39 [size =\"34999296\"]\n  22 -> 40 [size =\"34999296\"]\n  23 [size=\"98965504\", alpha=\"0.19\", expect_size=\"49482752\"] \n  23 -> 28 [size =\"49482752\"]\n  23 -> 29 [size =\"49482752\"]\n  23 -> 30 [size =\"49482752\"]\n  23 -> 31 [size =\"49482752\"]\n  23 -> 33 [size =\"49482752\"]\n  23 -> 34 [size =\"49482752\"]\n  23 -> 35 [size =\"49482752\"]\n  23 -> 36 [size =\"49482752\"]\n  23 -> 37 [size =\"49482752\"]\n  23 -> 38 [size =\"49482752\"]\n  23 -> 39 [size =\"49482752\"]\n  23 -> 40 [size =\"49482752\"]\n  24 [size=\"23201792\", alpha=\"0.12\", expect_size=\"11600896\"] \n  24 -> 28 [size =\"11600896\"]\n  24 -> 29 [size =\"11600896\"]\n  24 -> 30 [size =\"11600896\"]\n  24 -> 34 [size =\"11600896\"]\n  24 -> 36 [size =\"11600896\"]\n  24 -> 37 [size =\"11600896\"]\n  24 -> 39 [size =\"11600896\"]\n  24 -> 40 [size =\"11600896\"]\n  25 [size=\"35016704\", alpha=\"0.19\", expect_size=\"17508352\"] \n  25 -> 28 [size =\"17508352\"]\n  25 -> 29 [size =\"17508352\"]\n  25 -> 30 [size =\"17508352\"]\n  25 -> 31 [size =\"17508352\"]\n  25 -> 32 [size =\"17508352\"]\n  25 -> 34 [size =\"17508352\"]\n  25 -> 36 [size =\"17508352\"]\n  25 -> 37 [size =\"17508352\"]\n  25 -> 40 [size =\"17508352\"]\n  26 [size=\"67624960\", alpha=\"0.02\", expect_size=\"33812480\"] \n  26 -> 28 [size =\"33812480\"]\n  26 -> 29 [size =\"33812480\"]\n  26 -> 30 [size =\"33812480\"]\n  26 -> 31 [size =\"33812480\"]\n  26 -> 34 [size =\"33812480\"]\n  26 -> 35 [size =\"33812480\"]\n  26 -> 36 [size =\"33812480\"]\n  26 -> 37 [size =\"33812480\"]\n  26 -> 40 [size =\"33812480\"]\n  27 [size=\"93167616\", alpha=\"0.08\", expect_size=\"46583808\"] \n  27 -> 30 [size =\"46583808\"]\n  27 -> 31 [size =\"46583808\"]\n  27 -> 34 [size =\"46583808\"]\n  27 -> 36 [size =\"46583808\"]\n  27 -> 37 [size =\"46583808\"]\n  27 -> 38 [size =\"46583808\"]\n  27 -> 40 [size =\"46583808\"]\n  28 [size=\"59789312\", alpha=\"0.13\", expect_size=\"29894656\"] \n  28 -> 42 [size =\"29894656\"]\n  28 -> 44 [size =\"29894656\"]\n  28 -> 49 [size =\"29894656\"]\n  29 [size=\"47745024\", alpha=\"0.14\", expect_size=\"23872512\"] \n  29 -> 44 [size =\"23872512\"]\n  29 -> 47 [size =\"23872512\"]\n  29 -> 49 [size =\"23872512\"]\n  30 [size=\"52152320\", alpha=\"0.15\", expect_size=\"26076160\"] \n  30 -> 43 [size =\"26076160\"]\n  30 -> 44 [size =\"26076160\"]\n  30 -> 45 [size =\"26076160\"]\n  30 -> 49 [size =\"26076160\"]\n  31 [size=\"91412480\", alpha=\"0.08\", expect_size=\"45706240\"] \n  31 -> 44 [size =\"45706240\"]\n  31 -> 44 [size =\"45706240\"]\n  31 -> 45 [size =\"45706240\"]\n  31 -> 48 [size =\"45706240\"]\n  31 -> 49 [size =\"45706240\"]\n  32 [size=\"99561472\", alpha=\"0.19\", expect_size=\"49780736\"] \n  32 -> 45 [size =\"49780736\"]\n  32 -> 49 [size =\"49780736\"]\n  32 -> 50 [size =\"49780736\"]\n  33 [size=\"57896960\", alpha=\"0.07\", expect_size=\"28948480\"] \n  33 -> 44 [size =\"28948480\"]\n  33 -> 45 [size =\"28948480\"]\n  33 -> 50 [size =\"28948480\"]\n  34 [size=\"51296256\", alpha=\"0.02\", expect_size=\"25648128\"] \n  34 -> 44 [size =\"25648128\"]\n  34 -> 45 [size =\"25648128\"]\n  34 -> 46 [size =\"25648128\"]\n  34 -> 49 [size =\"25648128\"]\n  35 [size=\"11317248\", alpha=\"0.18\", expect_size=\"5658624\"] \n  35 -> 43 [size =\"5658624\"]\n  35 -> 44 [size =\"5658624\"]\n  35 -> 45 [size =\"5658624\"]\n  35 -> 46 [size =\"5658624\"]\n  35 -> 49 [size =\"5658624\"]\n  36 [size=\"102133760\", alpha=\"0.02\", expect_size=\"51066880\"] \n  36 -> 44 [size =\"51066880\"]\n  36 -> 46 [size =\"51066880\"]\n  36 -> 49 [size =\"51066880\"]\n  37 [size=\"16822272\", alpha=\"0.19\", expect_size=\"8411136\"] \n  37 -> 49 [size =\"8411136\"]\n  37 -> 50 [size =\"8411136\"]\n  38 [size=\"56070144\", alpha=\"0.10\", expect_size=\"28035072\"] \n  38 -> 45 [size =\"28035072\"]\n  38 -> 46 [size =\"28035072\"]\n  38 -> 49 [size =\"28035072\"]\n  39 [size=\"21743616\", alpha=\"0.17\", expect_size=\"10871808\"] \n  39 -> 42 [size =\"10871808\"]\n  39 -> 44 [size =\"10871808\"]\n  39 -> 45 [size =\"10871808\"]\n  39 -> 50 [size =\"10871808\"]\n  40 [size=\"89364480\", alpha=\"0.02\", expect_size=\"44682240\"] \n  40 -> 44 [size =\"44682240\"]\n  40 -> 45 [size =\"44682240\"]\n  40 -> 49 [size =\"44682240\"]\n  41 [size=\"63666176\", alpha=\"0.13\", expect_size=\"31833088\"] \n  41 -> 43 [size =\"31833088\"]\n  41 -> 45 [size =\"31833088\"]\n  41 -> 49 [size =\"31833088\"]\n  41 -> 50 [size =\"31833088\"]\n  42 [size=\"102324224\", alpha=\"0.16\", expect_size=\"51162112\"] \n  43 [size=\"96088064\", alpha=\"0.19\", expect_size=\"48044032\"] \n  44 [size=\"36169728\", alpha=\"0.04\", expect_size=\"18084864\"] \n  45 [size=\"45053952\", alpha=\"0.14\", expect_size=\"22526976\"] \n  46 [size=\"34433024\", alpha=\"0.16\", expect_size=\"17216512\"] \n  47 [size=\"41971712\", alpha=\"0.16\", expect_size=\"20985856\"] \n  48 [size=\"38871040\", alpha=\"0.06\", expect_size=\"19435520\"] \n  49 [size=\"86519808\", alpha=\"0.04\", expect_size=\"43259904\"] \n  50 [size=\"71811072\", alpha=\"0.11\", expect_size=\"35905536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.809.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75240107\", alpha=\"0.13\", expect_size=\"22572032\"] \n  1 -> 40 [size =\"22572032\"]\n  1 -> 41 [size =\"22572032\"]\n  1 -> 42 [size =\"22572032\"]\n  1 -> 44 [size =\"22572032\"]\n  1 -> 46 [size =\"22572032\"]\n  2 [size=\"160160427\", alpha=\"0.18\", expect_size=\"48048128\"] \n  2 -> 40 [size =\"48048128\"]\n  2 -> 41 [size =\"48048128\"]\n  2 -> 42 [size =\"48048128\"]\n  2 -> 45 [size =\"48048128\"]\n  2 -> 49 [size =\"48048128\"]\n  3 [size=\"108458667\", alpha=\"0.18\", expect_size=\"32537600\"] \n  3 -> 41 [size =\"32537600\"]\n  3 -> 42 [size =\"32537600\"]\n  3 -> 45 [size =\"32537600\"]\n  3 -> 49 [size =\"32537600\"]\n  3 -> 50 [size =\"32537600\"]\n  4 [size=\"129976320\", alpha=\"0.08\", expect_size=\"38992896\"] \n  4 -> 41 [size =\"38992896\"]\n  4 -> 45 [size =\"38992896\"]\n  4 -> 46 [size =\"38992896\"]\n  4 -> 48 [size =\"38992896\"]\n  4 -> 50 [size =\"38992896\"]\n  5 [size=\"161068373\", alpha=\"0.02\", expect_size=\"48320512\"] \n  5 -> 40 [size =\"48320512\"]\n  5 -> 42 [size =\"48320512\"]\n  5 -> 43 [size =\"48320512\"]\n  5 -> 46 [size =\"48320512\"]\n  6 [size=\"56982187\", alpha=\"0.11\", expect_size=\"17094656\"] \n  6 -> 44 [size =\"17094656\"]\n  6 -> 45 [size =\"17094656\"]\n  6 -> 46 [size =\"17094656\"]\n  6 -> 50 [size =\"17094656\"]\n  7 [size=\"107574613\", alpha=\"0.02\", expect_size=\"32272384\"] \n  7 -> 45 [size =\"32272384\"]\n  8 [size=\"115254613\", alpha=\"0.07\", expect_size=\"34576384\"] \n  8 -> 43 [size =\"34576384\"]\n  8 -> 45 [size =\"34576384\"]\n  8 -> 50 [size =\"34576384\"]\n  9 [size=\"119756800\", alpha=\"0.01\", expect_size=\"35927040\"] \n  9 -> 43 [size =\"35927040\"]\n  9 -> 44 [size =\"35927040\"]\n  9 -> 45 [size =\"35927040\"]\n  9 -> 46 [size =\"35927040\"]\n  9 -> 49 [size =\"35927040\"]\n  10 [size=\"65856853\", alpha=\"0.17\", expect_size=\"19757056\"] \n  10 -> 44 [size =\"19757056\"]\n  10 -> 46 [size =\"19757056\"]\n  10 -> 49 [size =\"19757056\"]\n  11 [size=\"69348693\", alpha=\"0.04\", expect_size=\"20804608\"] \n  11 -> 48 [size =\"20804608\"]\n  11 -> 49 [size =\"20804608\"]\n  12 [size=\"174745600\", alpha=\"0.02\", expect_size=\"52423680\"] \n  12 -> 41 [size =\"52423680\"]\n  12 -> 42 [size =\"52423680\"]\n  12 -> 43 [size =\"52423680\"]\n  12 -> 44 [size =\"52423680\"]\n  12 -> 49 [size =\"52423680\"]\n  13 [size=\"157911040\", alpha=\"0.07\", expect_size=\"47373312\"] \n  13 -> 44 [size =\"47373312\"]\n  13 -> 45 [size =\"47373312\"]\n  13 -> 47 [size =\"47373312\"]\n  13 -> 49 [size =\"47373312\"]\n  14 [size=\"145216853\", alpha=\"0.10\", expect_size=\"43565056\"] \n  14 -> 41 [size =\"43565056\"]\n  14 -> 49 [size =\"43565056\"]\n  15 [size=\"47575040\", alpha=\"0.14\", expect_size=\"14272512\"] \n  15 -> 40 [size =\"14272512\"]\n  15 -> 44 [size =\"14272512\"]\n  16 [size=\"63856640\", alpha=\"0.19\", expect_size=\"19156992\"] \n  16 -> 41 [size =\"19156992\"]\n  16 -> 44 [size =\"19156992\"]\n  16 -> 45 [size =\"19156992\"]\n  16 -> 47 [size =\"19156992\"]\n  17 [size=\"153791147\", alpha=\"0.17\", expect_size=\"46137344\"] \n  17 -> 41 [size =\"46137344\"]\n  17 -> 42 [size =\"46137344\"]\n  17 -> 43 [size =\"46137344\"]\n  17 -> 44 [size =\"46137344\"]\n  17 -> 45 [size =\"46137344\"]\n  17 -> 49 [size =\"46137344\"]\n  18 [size=\"168229547\", alpha=\"0.05\", expect_size=\"50468864\"] \n  18 -> 40 [size =\"50468864\"]\n  18 -> 41 [size =\"50468864\"]\n  18 -> 43 [size =\"50468864\"]\n  18 -> 44 [size =\"50468864\"]\n  18 -> 49 [size =\"50468864\"]\n  19 [size=\"67324587\", alpha=\"0.06\", expect_size=\"20197376\"] \n  19 -> 43 [size =\"20197376\"]\n  19 -> 49 [size =\"20197376\"]\n  20 [size=\"74164907\", alpha=\"0.02\", expect_size=\"22249472\"] \n  20 -> 47 [size =\"22249472\"]\n  20 -> 49 [size =\"22249472\"]\n  21 [size=\"47462400\", alpha=\"0.07\", expect_size=\"14238720\"] \n  21 -> 42 [size =\"14238720\"]\n  21 -> 44 [size =\"14238720\"]\n  21 -> 48 [size =\"14238720\"]\n  22 [size=\"80339627\", alpha=\"0.09\", expect_size=\"24101888\"] \n  22 -> 41 [size =\"24101888\"]\n  22 -> 45 [size =\"24101888\"]\n  22 -> 46 [size =\"24101888\"]\n  23 [size=\"96235520\", alpha=\"0.03\", expect_size=\"28870656\"] \n  23 -> 40 [size =\"28870656\"]\n  23 -> 45 [size =\"28870656\"]\n  24 [size=\"148616533\", alpha=\"0.11\", expect_size=\"44584960\"] \n  24 -> 42 [size =\"44584960\"]\n  24 -> 48 [size =\"44584960\"]\n  24 -> 50 [size =\"44584960\"]\n  25 [size=\"73840640\", alpha=\"0.18\", expect_size=\"22152192\"] \n  25 -> 40 [size =\"22152192\"]\n  25 -> 42 [size =\"22152192\"]\n  25 -> 49 [size =\"22152192\"]\n  26 [size=\"27880107\", alpha=\"0.09\", expect_size=\"8364032\"] \n  27 [size=\"173598720\", alpha=\"0.12\", expect_size=\"52079616\"] \n  27 -> 42 [size =\"52079616\"]\n  27 -> 46 [size =\"52079616\"]\n  28 [size=\"146537813\", alpha=\"0.07\", expect_size=\"43961344\"] \n  28 -> 49 [size =\"43961344\"]\n  29 [size=\"26989227\", alpha=\"0.16\", expect_size=\"8096768\"] \n  29 -> 41 [size =\"8096768\"]\n  29 -> 42 [size =\"8096768\"]\n  29 -> 44 [size =\"8096768\"]\n  29 -> 45 [size =\"8096768\"]\n  29 -> 46 [size =\"8096768\"]\n  29 -> 50 [size =\"8096768\"]\n  30 [size=\"70888107\", alpha=\"0.10\", expect_size=\"21266432\"] \n  30 -> 41 [size =\"21266432\"]\n  30 -> 44 [size =\"21266432\"]\n  30 -> 49 [size =\"21266432\"]\n  31 [size=\"90077867\", alpha=\"0.12\", expect_size=\"27023360\"] \n  31 -> 39 [size =\"27023360\"]\n  31 -> 41 [size =\"27023360\"]\n  31 -> 44 [size =\"27023360\"]\n  31 -> 48 [size =\"27023360\"]\n  31 -> 49 [size =\"27023360\"]\n  31 -> 50 [size =\"27023360\"]\n  32 [size=\"142325760\", alpha=\"0.13\", expect_size=\"42697728\"] \n  32 -> 41 [size =\"42697728\"]\n  32 -> 41 [size =\"42697728\"]\n  32 -> 46 [size =\"42697728\"]\n  33 [size=\"55739733\", alpha=\"0.12\", expect_size=\"16721920\"] \n  33 -> 44 [size =\"16721920\"]\n  33 -> 46 [size =\"16721920\"]\n  34 [size=\"78595413\", alpha=\"0.07\", expect_size=\"23578624\"] \n  34 -> 42 [size =\"23578624\"]\n  34 -> 46 [size =\"23578624\"]\n  34 -> 47 [size =\"23578624\"]\n  35 [size=\"166109867\", alpha=\"0.06\", expect_size=\"49832960\"] \n  35 -> 46 [size =\"49832960\"]\n  35 -> 48 [size =\"49832960\"]\n  36 [size=\"147295573\", alpha=\"0.11\", expect_size=\"44188672\"] \n  36 -> 45 [size =\"44188672\"]\n  37 [size=\"61672107\", alpha=\"0.13\", expect_size=\"18501632\"] \n  37 -> 40 [size =\"18501632\"]\n  37 -> 41 [size =\"18501632\"]\n  37 -> 44 [size =\"18501632\"]\n  37 -> 47 [size =\"18501632\"]\n  38 [size=\"156617387\", alpha=\"0.15\", expect_size=\"46985216\"] \n  38 -> 40 [size =\"46985216\"]\n  38 -> 41 [size =\"46985216\"]\n  38 -> 42 [size =\"46985216\"]\n  38 -> 44 [size =\"46985216\"]\n  38 -> 45 [size =\"46985216\"]\n  38 -> 48 [size =\"46985216\"]\n  38 -> 49 [size =\"46985216\"]\n  39 [size=\"58060800\", alpha=\"0.03\", expect_size=\"17418240\"] \n  40 [size=\"25565867\", alpha=\"0.18\", expect_size=\"7669760\"] \n  41 [size=\"107516587\", alpha=\"0.16\", expect_size=\"32254976\"] \n  42 [size=\"41216000\", alpha=\"0.03\", expect_size=\"12364800\"] \n  43 [size=\"141216427\", alpha=\"0.00\", expect_size=\"42364928\"] \n  44 [size=\"76096853\", alpha=\"0.14\", expect_size=\"22829056\"] \n  45 [size=\"130887680\", alpha=\"0.14\", expect_size=\"39266304\"] \n  46 [size=\"21111467\", alpha=\"0.16\", expect_size=\"6333440\"] \n  47 [size=\"107728213\", alpha=\"0.18\", expect_size=\"32318464\"] \n  48 [size=\"55197013\", alpha=\"0.17\", expect_size=\"16559104\"] \n  49 [size=\"171550720\", alpha=\"0.16\", expect_size=\"51465216\"] \n  50 [size=\"34785280\", alpha=\"0.02\", expect_size=\"10435584\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84062720\", alpha=\"0.09\", expect_size=\"33625088\"] \n  1 -> 35 [size =\"33625088\"]\n  1 -> 42 [size =\"33625088\"]\n  2 [size=\"29872640\", alpha=\"0.19\", expect_size=\"11949056\"] \n  2 -> 34 [size =\"11949056\"]\n  2 -> 41 [size =\"11949056\"]\n  2 -> 42 [size =\"11949056\"]\n  2 -> 43 [size =\"11949056\"]\n  2 -> 44 [size =\"11949056\"]\n  3 [size=\"127490560\", alpha=\"0.13\", expect_size=\"50996224\"] \n  3 -> 34 [size =\"50996224\"]\n  3 -> 40 [size =\"50996224\"]\n  3 -> 41 [size =\"50996224\"]\n  3 -> 42 [size =\"50996224\"]\n  3 -> 43 [size =\"50996224\"]\n  3 -> 44 [size =\"50996224\"]\n  3 -> 46 [size =\"50996224\"]\n  4 [size=\"69460480\", alpha=\"0.05\", expect_size=\"27784192\"] \n  4 -> 35 [size =\"27784192\"]\n  4 -> 42 [size =\"27784192\"]\n  4 -> 43 [size =\"27784192\"]\n  4 -> 46 [size =\"27784192\"]\n  4 -> 49 [size =\"27784192\"]\n  5 [size=\"28546560\", alpha=\"0.07\", expect_size=\"11418624\"] \n  5 -> 34 [size =\"11418624\"]\n  5 -> 38 [size =\"11418624\"]\n  5 -> 42 [size =\"11418624\"]\n  5 -> 46 [size =\"11418624\"]\n  6 [size=\"124029440\", alpha=\"0.18\", expect_size=\"49611776\"] \n  6 -> 37 [size =\"49611776\"]\n  6 -> 40 [size =\"49611776\"]\n  6 -> 44 [size =\"49611776\"]\n  6 -> 46 [size =\"49611776\"]\n  6 -> 48 [size =\"49611776\"]\n  7 [size=\"44208640\", alpha=\"0.10\", expect_size=\"17683456\"] \n  7 -> 36 [size =\"17683456\"]\n  7 -> 40 [size =\"17683456\"]\n  7 -> 44 [size =\"17683456\"]\n  8 [size=\"51712000\", alpha=\"0.00\", expect_size=\"20684800\"] \n  8 -> 40 [size =\"20684800\"]\n  8 -> 46 [size =\"20684800\"]\n  9 [size=\"18521600\", alpha=\"0.05\", expect_size=\"7408640\"] \n  9 -> 41 [size =\"7408640\"]\n  9 -> 42 [size =\"7408640\"]\n  10 [size=\"125690880\", alpha=\"0.14\", expect_size=\"50276352\"] \n  10 -> 37 [size =\"50276352\"]\n  10 -> 38 [size =\"50276352\"]\n  10 -> 40 [size =\"50276352\"]\n  10 -> 41 [size =\"50276352\"]\n  10 -> 44 [size =\"50276352\"]\n  11 [size=\"77719040\", alpha=\"0.01\", expect_size=\"31087616\"] \n  11 -> 34 [size =\"31087616\"]\n  11 -> 41 [size =\"31087616\"]\n  11 -> 42 [size =\"31087616\"]\n  11 -> 44 [size =\"31087616\"]\n  11 -> 46 [size =\"31087616\"]\n  11 -> 47 [size =\"31087616\"]\n  12 [size=\"128857600\", alpha=\"0.14\", expect_size=\"51543040\"] \n  12 -> 33 [size =\"51543040\"]\n  12 -> 34 [size =\"51543040\"]\n  12 -> 40 [size =\"51543040\"]\n  12 -> 41 [size =\"51543040\"]\n  12 -> 44 [size =\"51543040\"]\n  12 -> 46 [size =\"51543040\"]\n  12 -> 47 [size =\"51543040\"]\n  13 [size=\"120483840\", alpha=\"0.12\", expect_size=\"48193536\"] \n  13 -> 33 [size =\"48193536\"]\n  13 -> 37 [size =\"48193536\"]\n  13 -> 40 [size =\"48193536\"]\n  13 -> 41 [size =\"48193536\"]\n  13 -> 45 [size =\"48193536\"]\n  13 -> 47 [size =\"48193536\"]\n  13 -> 48 [size =\"48193536\"]\n  14 [size=\"79982080\", alpha=\"0.08\", expect_size=\"31992832\"] \n  14 -> 36 [size =\"31992832\"]\n  14 -> 37 [size =\"31992832\"]\n  14 -> 39 [size =\"31992832\"]\n  14 -> 41 [size =\"31992832\"]\n  14 -> 44 [size =\"31992832\"]\n  14 -> 45 [size =\"31992832\"]\n  15 [size=\"108285440\", alpha=\"0.06\", expect_size=\"43314176\"] \n  15 -> 41 [size =\"43314176\"]\n  15 -> 45 [size =\"43314176\"]\n  16 [size=\"34332160\", alpha=\"0.18\", expect_size=\"13732864\"] \n  16 -> 35 [size =\"13732864\"]\n  16 -> 42 [size =\"13732864\"]\n  16 -> 44 [size =\"13732864\"]\n  16 -> 49 [size =\"13732864\"]\n  17 [size=\"20766720\", alpha=\"0.17\", expect_size=\"8306688\"] \n  17 -> 33 [size =\"8306688\"]\n  17 -> 34 [size =\"8306688\"]\n  17 -> 35 [size =\"8306688\"]\n  17 -> 42 [size =\"8306688\"]\n  17 -> 43 [size =\"8306688\"]\n  17 -> 48 [size =\"8306688\"]\n  18 [size=\"78681600\", alpha=\"0.16\", expect_size=\"31472640\"] \n  18 -> 40 [size =\"31472640\"]\n  18 -> 46 [size =\"31472640\"]\n  19 [size=\"79779840\", alpha=\"0.04\", expect_size=\"31911936\"] \n  19 -> 34 [size =\"31911936\"]\n  19 -> 44 [size =\"31911936\"]\n  20 [size=\"108615680\", alpha=\"0.20\", expect_size=\"43446272\"] \n  20 -> 35 [size =\"43446272\"]\n  20 -> 42 [size =\"43446272\"]\n  20 -> 43 [size =\"43446272\"]\n  21 [size=\"74721280\", alpha=\"0.07\", expect_size=\"29888512\"] \n  21 -> 34 [size =\"29888512\"]\n  21 -> 35 [size =\"29888512\"]\n  21 -> 42 [size =\"29888512\"]\n  21 -> 46 [size =\"29888512\"]\n  21 -> 49 [size =\"29888512\"]\n  22 [size=\"83072000\", alpha=\"0.18\", expect_size=\"33228800\"] \n  22 -> 33 [size =\"33228800\"]\n  22 -> 34 [size =\"33228800\"]\n  22 -> 40 [size =\"33228800\"]\n  22 -> 46 [size =\"33228800\"]\n  22 -> 49 [size =\"33228800\"]\n  23 [size=\"46543360\", alpha=\"0.08\", expect_size=\"18617344\"] \n  23 -> 34 [size =\"18617344\"]\n  23 -> 35 [size =\"18617344\"]\n  23 -> 38 [size =\"18617344\"]\n  23 -> 42 [size =\"18617344\"]\n  23 -> 43 [size =\"18617344\"]\n  23 -> 46 [size =\"18617344\"]\n  23 -> 50 [size =\"18617344\"]\n  24 [size=\"114529280\", alpha=\"0.07\", expect_size=\"45811712\"] \n  24 -> 33 [size =\"45811712\"]\n  24 -> 37 [size =\"45811712\"]\n  24 -> 41 [size =\"45811712\"]\n  24 -> 44 [size =\"45811712\"]\n  25 [size=\"43865600\", alpha=\"0.09\", expect_size=\"17546240\"] \n  25 -> 34 [size =\"17546240\"]\n  25 -> 37 [size =\"17546240\"]\n  25 -> 41 [size =\"17546240\"]\n  25 -> 43 [size =\"17546240\"]\n  25 -> 48 [size =\"17546240\"]\n  25 -> 50 [size =\"17546240\"]\n  26 [size=\"77319680\", alpha=\"0.10\", expect_size=\"30927872\"] \n  26 -> 34 [size =\"30927872\"]\n  26 -> 37 [size =\"30927872\"]\n  26 -> 41 [size =\"30927872\"]\n  26 -> 46 [size =\"30927872\"]\n  27 [size=\"66434560\", alpha=\"0.16\", expect_size=\"26573824\"] \n  27 -> 37 [size =\"26573824\"]\n  27 -> 41 [size =\"26573824\"]\n  27 -> 42 [size =\"26573824\"]\n  28 [size=\"51238400\", alpha=\"0.09\", expect_size=\"20495360\"] \n  28 -> 34 [size =\"20495360\"]\n  28 -> 42 [size =\"20495360\"]\n  29 [size=\"25175040\", alpha=\"0.03\", expect_size=\"10070016\"] \n  29 -> 33 [size =\"10070016\"]\n  29 -> 35 [size =\"10070016\"]\n  29 -> 41 [size =\"10070016\"]\n  29 -> 42 [size =\"10070016\"]\n  29 -> 44 [size =\"10070016\"]\n  29 -> 50 [size =\"10070016\"]\n  30 [size=\"49863680\", alpha=\"0.15\", expect_size=\"19945472\"] \n  30 -> 33 [size =\"19945472\"]\n  30 -> 34 [size =\"19945472\"]\n  30 -> 40 [size =\"19945472\"]\n  30 -> 41 [size =\"19945472\"]\n  30 -> 42 [size =\"19945472\"]\n  30 -> 47 [size =\"19945472\"]\n  31 [size=\"48657920\", alpha=\"0.19\", expect_size=\"19463168\"] \n  31 -> 33 [size =\"19463168\"]\n  31 -> 44 [size =\"19463168\"]\n  31 -> 46 [size =\"19463168\"]\n  32 [size=\"92515840\", alpha=\"0.02\", expect_size=\"37006336\"] \n  32 -> 33 [size =\"37006336\"]\n  32 -> 43 [size =\"37006336\"]\n  32 -> 44 [size =\"37006336\"]\n  32 -> 46 [size =\"37006336\"]\n  33 [size=\"80235520\", alpha=\"0.04\", expect_size=\"32094208\"] \n  34 [size=\"126202880\", alpha=\"0.16\", expect_size=\"50481152\"] \n  35 [size=\"50841600\", alpha=\"0.05\", expect_size=\"20336640\"] \n  36 [size=\"105520640\", alpha=\"0.18\", expect_size=\"42208256\"] \n  37 [size=\"47267840\", alpha=\"0.12\", expect_size=\"18907136\"] \n  38 [size=\"25154560\", alpha=\"0.17\", expect_size=\"10061824\"] \n  39 [size=\"77785600\", alpha=\"0.13\", expect_size=\"31114240\"] \n  40 [size=\"92608000\", alpha=\"0.05\", expect_size=\"37043200\"] \n  41 [size=\"64243200\", alpha=\"0.08\", expect_size=\"25697280\"] \n  42 [size=\"57303040\", alpha=\"0.03\", expect_size=\"22921216\"] \n  43 [size=\"69575680\", alpha=\"0.03\", expect_size=\"27830272\"] \n  44 [size=\"90475520\", alpha=\"0.01\", expect_size=\"36190208\"] \n  45 [size=\"68910080\", alpha=\"0.04\", expect_size=\"27564032\"] \n  46 [size=\"100062720\", alpha=\"0.18\", expect_size=\"40025088\"] \n  47 [size=\"87191040\", alpha=\"0.00\", expect_size=\"34876416\"] \n  48 [size=\"37957120\", alpha=\"0.10\", expect_size=\"15182848\"] \n  49 [size=\"17937920\", alpha=\"0.01\", expect_size=\"7175168\"] \n  50 [size=\"93803520\", alpha=\"0.18\", expect_size=\"37521408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.810.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151876267\", alpha=\"0.10\", expect_size=\"45562880\"] \n  1 -> 10 [size =\"45562880\"]\n  1 -> 11 [size =\"45562880\"]\n  1 -> 17 [size =\"45562880\"]\n  2 [size=\"48332800\", alpha=\"0.19\", expect_size=\"14499840\"] \n  2 -> 9 [size =\"14499840\"]\n  2 -> 14 [size =\"14499840\"]\n  2 -> 15 [size =\"14499840\"]\n  2 -> 17 [size =\"14499840\"]\n  3 [size=\"103526400\", alpha=\"0.10\", expect_size=\"31057920\"] \n  3 -> 11 [size =\"31057920\"]\n  3 -> 12 [size =\"31057920\"]\n  3 -> 13 [size =\"31057920\"]\n  3 -> 15 [size =\"31057920\"]\n  3 -> 19 [size =\"31057920\"]\n  4 [size=\"159924907\", alpha=\"0.10\", expect_size=\"47977472\"] \n  4 -> 11 [size =\"47977472\"]\n  4 -> 14 [size =\"47977472\"]\n  4 -> 17 [size =\"47977472\"]\n  4 -> 19 [size =\"47977472\"]\n  5 [size=\"141888853\", alpha=\"0.18\", expect_size=\"42566656\"] \n  5 -> 9 [size =\"42566656\"]\n  5 -> 15 [size =\"42566656\"]\n  6 [size=\"53790720\", alpha=\"0.10\", expect_size=\"16137216\"] \n  6 -> 8 [size =\"16137216\"]\n  6 -> 10 [size =\"16137216\"]\n  6 -> 14 [size =\"16137216\"]\n  6 -> 16 [size =\"16137216\"]\n  6 -> 18 [size =\"16137216\"]\n  7 [size=\"77185707\", alpha=\"0.07\", expect_size=\"23155712\"] \n  7 -> 10 [size =\"23155712\"]\n  7 -> 11 [size =\"23155712\"]\n  7 -> 12 [size =\"23155712\"]\n  7 -> 17 [size =\"23155712\"]\n  8 [size=\"110008320\", alpha=\"0.05\", expect_size=\"33002496\"] \n  8 -> 23 [size =\"33002496\"]\n  8 -> 27 [size =\"33002496\"]\n  8 -> 30 [size =\"33002496\"]\n  9 [size=\"89361067\", alpha=\"0.05\", expect_size=\"26808320\"] \n  9 -> 24 [size =\"26808320\"]\n  9 -> 25 [size =\"26808320\"]\n  9 -> 26 [size =\"26808320\"]\n  9 -> 29 [size =\"26808320\"]\n  10 [size=\"144745813\", alpha=\"0.06\", expect_size=\"43423744\"] \n  10 -> 26 [size =\"43423744\"]\n  10 -> 29 [size =\"43423744\"]\n  10 -> 33 [size =\"43423744\"]\n  11 [size=\"72802987\", alpha=\"0.08\", expect_size=\"21840896\"] \n  11 -> 26 [size =\"21840896\"]\n  11 -> 29 [size =\"21840896\"]\n  11 -> 32 [size =\"21840896\"]\n  11 -> 33 [size =\"21840896\"]\n  12 [size=\"149596160\", alpha=\"0.06\", expect_size=\"44878848\"] \n  12 -> 24 [size =\"44878848\"]\n  12 -> 25 [size =\"44878848\"]\n  12 -> 26 [size =\"44878848\"]\n  12 -> 30 [size =\"44878848\"]\n  12 -> 33 [size =\"44878848\"]\n  13 [size=\"140844373\", alpha=\"0.06\", expect_size=\"42253312\"] \n  13 -> 21 [size =\"42253312\"]\n  13 -> 23 [size =\"42253312\"]\n  13 -> 24 [size =\"42253312\"]\n  13 -> 30 [size =\"42253312\"]\n  14 [size=\"60624213\", alpha=\"0.08\", expect_size=\"18187264\"] \n  14 -> 20 [size =\"18187264\"]\n  14 -> 21 [size =\"18187264\"]\n  14 -> 28 [size =\"18187264\"]\n  14 -> 30 [size =\"18187264\"]\n  14 -> 32 [size =\"18187264\"]\n  15 [size=\"135379627\", alpha=\"0.01\", expect_size=\"40613888\"] \n  15 -> 22 [size =\"40613888\"]\n  15 -> 24 [size =\"40613888\"]\n  15 -> 25 [size =\"40613888\"]\n  15 -> 30 [size =\"40613888\"]\n  16 [size=\"120538453\", alpha=\"0.11\", expect_size=\"36161536\"] \n  16 -> 21 [size =\"36161536\"]\n  16 -> 24 [size =\"36161536\"]\n  16 -> 25 [size =\"36161536\"]\n  16 -> 27 [size =\"36161536\"]\n  17 [size=\"43386880\", alpha=\"0.19\", expect_size=\"13016064\"] \n  17 -> 20 [size =\"13016064\"]\n  17 -> 24 [size =\"13016064\"]\n  17 -> 25 [size =\"13016064\"]\n  17 -> 32 [size =\"13016064\"]\n  18 [size=\"95525547\", alpha=\"0.18\", expect_size=\"28657664\"] \n  18 -> 23 [size =\"28657664\"]\n  18 -> 31 [size =\"28657664\"]\n  19 [size=\"134174720\", alpha=\"0.20\", expect_size=\"40252416\"] \n  20 [size=\"173892267\", alpha=\"0.11\", expect_size=\"52167680\"] \n  20 -> 35 [size =\"52167680\"]\n  20 -> 40 [size =\"52167680\"]\n  21 [size=\"59948373\", alpha=\"0.20\", expect_size=\"17984512\"] \n  21 -> 35 [size =\"17984512\"]\n  21 -> 37 [size =\"17984512\"]\n  21 -> 38 [size =\"17984512\"]\n  21 -> 40 [size =\"17984512\"]\n  22 [size=\"122002773\", alpha=\"0.12\", expect_size=\"36600832\"] \n  22 -> 35 [size =\"36600832\"]\n  22 -> 38 [size =\"36600832\"]\n  22 -> 39 [size =\"36600832\"]\n  22 -> 40 [size =\"36600832\"]\n  23 [size=\"169472000\", alpha=\"0.16\", expect_size=\"50841600\"] \n  23 -> 34 [size =\"50841600\"]\n  23 -> 40 [size =\"50841600\"]\n  24 [size=\"59876693\", alpha=\"0.17\", expect_size=\"17963008\"] \n  24 -> 34 [size =\"17963008\"]\n  24 -> 39 [size =\"17963008\"]\n  25 [size=\"125067947\", alpha=\"0.15\", expect_size=\"37520384\"] \n  25 -> 34 [size =\"37520384\"]\n  25 -> 35 [size =\"37520384\"]\n  25 -> 40 [size =\"37520384\"]\n  26 [size=\"129850027\", alpha=\"0.17\", expect_size=\"38955008\"] \n  26 -> 38 [size =\"38955008\"]\n  27 [size=\"59627520\", alpha=\"0.07\", expect_size=\"17888256\"] \n  27 -> 34 [size =\"17888256\"]\n  27 -> 36 [size =\"17888256\"]\n  27 -> 37 [size =\"17888256\"]\n  27 -> 38 [size =\"17888256\"]\n  27 -> 40 [size =\"17888256\"]\n  28 [size=\"50302293\", alpha=\"0.08\", expect_size=\"15090688\"] \n  28 -> 36 [size =\"15090688\"]\n  28 -> 39 [size =\"15090688\"]\n  28 -> 40 [size =\"15090688\"]\n  29 [size=\"33051307\", alpha=\"0.18\", expect_size=\"9915392\"] \n  29 -> 36 [size =\"9915392\"]\n  29 -> 39 [size =\"9915392\"]\n  30 [size=\"31272960\", alpha=\"0.05\", expect_size=\"9381888\"] \n  30 -> 34 [size =\"9381888\"]\n  30 -> 35 [size =\"9381888\"]\n  30 -> 38 [size =\"9381888\"]\n  30 -> 39 [size =\"9381888\"]\n  31 [size=\"120040107\", alpha=\"0.19\", expect_size=\"36012032\"] \n  31 -> 37 [size =\"36012032\"]\n  32 [size=\"119183360\", alpha=\"0.09\", expect_size=\"35755008\"] \n  32 -> 34 [size =\"35755008\"]\n  32 -> 36 [size =\"35755008\"]\n  32 -> 37 [size =\"35755008\"]\n  32 -> 39 [size =\"35755008\"]\n  33 [size=\"59562667\", alpha=\"0.16\", expect_size=\"17868800\"] \n  34 [size=\"27228160\", alpha=\"0.07\", expect_size=\"8168448\"] \n  34 -> 42 [size =\"8168448\"]\n  34 -> 44 [size =\"8168448\"]\n  34 -> 49 [size =\"8168448\"]\n  35 [size=\"164628480\", alpha=\"0.14\", expect_size=\"49388544\"] \n  35 -> 41 [size =\"49388544\"]\n  35 -> 43 [size =\"49388544\"]\n  35 -> 45 [size =\"49388544\"]\n  35 -> 47 [size =\"49388544\"]\n  35 -> 49 [size =\"49388544\"]\n  36 [size=\"124320427\", alpha=\"0.14\", expect_size=\"37296128\"] \n  36 -> 48 [size =\"37296128\"]\n  37 [size=\"99911680\", alpha=\"0.17\", expect_size=\"29973504\"] \n  37 -> 41 [size =\"29973504\"]\n  37 -> 50 [size =\"29973504\"]\n  38 [size=\"151104853\", alpha=\"0.10\", expect_size=\"45331456\"] \n  38 -> 42 [size =\"45331456\"]\n  38 -> 46 [size =\"45331456\"]\n  38 -> 47 [size =\"45331456\"]\n  38 -> 48 [size =\"45331456\"]\n  38 -> 50 [size =\"45331456\"]\n  39 [size=\"55866027\", alpha=\"0.18\", expect_size=\"16759808\"] \n  39 -> 43 [size =\"16759808\"]\n  39 -> 47 [size =\"16759808\"]\n  40 [size=\"43362987\", alpha=\"0.06\", expect_size=\"13008896\"] \n  40 -> 45 [size =\"13008896\"]\n  40 -> 47 [size =\"13008896\"]\n  41 [size=\"83589120\", alpha=\"0.19\", expect_size=\"25076736\"] \n  42 [size=\"74577920\", alpha=\"0.05\", expect_size=\"22373376\"] \n  43 [size=\"148456107\", alpha=\"0.11\", expect_size=\"44536832\"] \n  44 [size=\"114022400\", alpha=\"0.02\", expect_size=\"34206720\"] \n  45 [size=\"171714560\", alpha=\"0.07\", expect_size=\"51514368\"] \n  46 [size=\"124859733\", alpha=\"0.06\", expect_size=\"37457920\"] \n  47 [size=\"76526933\", alpha=\"0.11\", expect_size=\"22958080\"] \n  48 [size=\"52626773\", alpha=\"0.19\", expect_size=\"15788032\"] \n  49 [size=\"131205120\", alpha=\"0.10\", expect_size=\"39361536\"] \n  50 [size=\"114394453\", alpha=\"0.02\", expect_size=\"34318336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.811.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38795264\", alpha=\"0.09\", expect_size=\"19397632\"] \n  2 [size=\"44668928\", alpha=\"0.12\", expect_size=\"22334464\"] \n  2 -> 9 [size =\"22334464\"]\n  2 -> 12 [size =\"22334464\"]\n  2 -> 14 [size =\"22334464\"]\n  2 -> 15 [size =\"22334464\"]\n  3 [size=\"46202880\", alpha=\"0.17\", expect_size=\"23101440\"] \n  3 -> 14 [size =\"23101440\"]\n  3 -> 15 [size =\"23101440\"]\n  4 [size=\"86650880\", alpha=\"0.04\", expect_size=\"43325440\"] \n  4 -> 9 [size =\"43325440\"]\n  4 -> 11 [size =\"43325440\"]\n  4 -> 14 [size =\"43325440\"]\n  5 [size=\"91713536\", alpha=\"0.18\", expect_size=\"45856768\"] \n  5 -> 15 [size =\"45856768\"]\n  6 [size=\"67497984\", alpha=\"0.15\", expect_size=\"33748992\"] \n  6 -> 10 [size =\"33748992\"]\n  6 -> 11 [size =\"33748992\"]\n  6 -> 15 [size =\"33748992\"]\n  6 -> 16 [size =\"33748992\"]\n  7 [size=\"103606272\", alpha=\"0.18\", expect_size=\"51803136\"] \n  7 -> 10 [size =\"51803136\"]\n  7 -> 11 [size =\"51803136\"]\n  7 -> 12 [size =\"51803136\"]\n  8 [size=\"63303680\", alpha=\"0.13\", expect_size=\"31651840\"] \n  8 -> 11 [size =\"31651840\"]\n  8 -> 13 [size =\"31651840\"]\n  8 -> 14 [size =\"31651840\"]\n  8 -> 16 [size =\"31651840\"]\n  9 [size=\"32507904\", alpha=\"0.16\", expect_size=\"16253952\"] \n  10 [size=\"23568384\", alpha=\"0.13\", expect_size=\"11784192\"] \n  10 -> 18 [size =\"11784192\"]\n  10 -> 19 [size =\"11784192\"]\n  11 [size=\"77549568\", alpha=\"0.04\", expect_size=\"38774784\"] \n  12 [size=\"26212352\", alpha=\"0.20\", expect_size=\"13106176\"] \n  13 [size=\"81422336\", alpha=\"0.00\", expect_size=\"40711168\"] \n  13 -> 17 [size =\"40711168\"]\n  14 [size=\"65249280\", alpha=\"0.00\", expect_size=\"32624640\"] \n  14 -> 18 [size =\"32624640\"]\n  14 -> 20 [size =\"32624640\"]\n  15 [size=\"85807104\", alpha=\"0.13\", expect_size=\"42903552\"] \n  15 -> 17 [size =\"42903552\"]\n  15 -> 19 [size =\"42903552\"]\n  15 -> 20 [size =\"42903552\"]\n  16 [size=\"76537856\", alpha=\"0.09\", expect_size=\"38268928\"] \n  16 -> 18 [size =\"38268928\"]\n  17 [size=\"55259136\", alpha=\"0.06\", expect_size=\"27629568\"] \n  17 -> 24 [size =\"27629568\"]\n  18 [size=\"47005696\", alpha=\"0.02\", expect_size=\"23502848\"] \n  19 [size=\"12361728\", alpha=\"0.20\", expect_size=\"6180864\"] \n  19 -> 21 [size =\"6180864\"]\n  20 [size=\"87130112\", alpha=\"0.03\", expect_size=\"43565056\"] \n  20 -> 22 [size =\"43565056\"]\n  20 -> 23 [size =\"43565056\"]\n  20 -> 24 [size =\"43565056\"]\n  21 [size=\"52082688\", alpha=\"0.13\", expect_size=\"26041344\"] \n  21 -> 25 [size =\"26041344\"]\n  21 -> 26 [size =\"26041344\"]\n  21 -> 29 [size =\"26041344\"]\n  21 -> 33 [size =\"26041344\"]\n  22 [size=\"70922240\", alpha=\"0.09\", expect_size=\"35461120\"] \n  22 -> 25 [size =\"35461120\"]\n  22 -> 27 [size =\"35461120\"]\n  22 -> 29 [size =\"35461120\"]\n  22 -> 31 [size =\"35461120\"]\n  22 -> 32 [size =\"35461120\"]\n  23 [size=\"70625280\", alpha=\"0.14\", expect_size=\"35312640\"] \n  23 -> 26 [size =\"35312640\"]\n  23 -> 27 [size =\"35312640\"]\n  23 -> 30 [size =\"35312640\"]\n  23 -> 32 [size =\"35312640\"]\n  24 [size=\"72431616\", alpha=\"0.14\", expect_size=\"36215808\"] \n  24 -> 28 [size =\"36215808\"]\n  24 -> 30 [size =\"36215808\"]\n  24 -> 31 [size =\"36215808\"]\n  24 -> 33 [size =\"36215808\"]\n  25 [size=\"73519104\", alpha=\"0.12\", expect_size=\"36759552\"] \n  25 -> 35 [size =\"36759552\"]\n  26 [size=\"38699008\", alpha=\"0.02\", expect_size=\"19349504\"] \n  26 -> 34 [size =\"19349504\"]\n  27 [size=\"82364416\", alpha=\"0.11\", expect_size=\"41182208\"] \n  27 -> 34 [size =\"41182208\"]\n  28 [size=\"14919680\", alpha=\"0.12\", expect_size=\"7459840\"] \n  28 -> 37 [size =\"7459840\"]\n  29 [size=\"23769088\", alpha=\"0.17\", expect_size=\"11884544\"] \n  29 -> 38 [size =\"11884544\"]\n  30 [size=\"21876736\", alpha=\"0.05\", expect_size=\"10938368\"] \n  30 -> 36 [size =\"10938368\"]\n  30 -> 38 [size =\"10938368\"]\n  31 [size=\"36626432\", alpha=\"0.08\", expect_size=\"18313216\"] \n  31 -> 34 [size =\"18313216\"]\n  31 -> 37 [size =\"18313216\"]\n  32 [size=\"96325632\", alpha=\"0.14\", expect_size=\"48162816\"] \n  32 -> 37 [size =\"48162816\"]\n  33 [size=\"46415872\", alpha=\"0.14\", expect_size=\"23207936\"] \n  33 -> 37 [size =\"23207936\"]\n  34 [size=\"16990208\", alpha=\"0.07\", expect_size=\"8495104\"] \n  34 -> 39 [size =\"8495104\"]\n  34 -> 41 [size =\"8495104\"]\n  34 -> 44 [size =\"8495104\"]\n  34 -> 45 [size =\"8495104\"]\n  34 -> 46 [size =\"8495104\"]\n  34 -> 47 [size =\"8495104\"]\n  35 [size=\"84211712\", alpha=\"0.15\", expect_size=\"42105856\"] \n  35 -> 40 [size =\"42105856\"]\n  35 -> 42 [size =\"42105856\"]\n  35 -> 43 [size =\"42105856\"]\n  36 [size=\"46196736\", alpha=\"0.17\", expect_size=\"23098368\"] \n  36 -> 42 [size =\"23098368\"]\n  36 -> 44 [size =\"23098368\"]\n  36 -> 46 [size =\"23098368\"]\n  37 [size=\"54325248\", alpha=\"0.09\", expect_size=\"27162624\"] \n  38 [size=\"12978176\", alpha=\"0.08\", expect_size=\"6489088\"] \n  38 -> 42 [size =\"6489088\"]\n  38 -> 43 [size =\"6489088\"]\n  38 -> 44 [size =\"6489088\"]\n  38 -> 47 [size =\"6489088\"]\n  39 [size=\"69345280\", alpha=\"0.08\", expect_size=\"34672640\"] \n  40 [size=\"56705024\", alpha=\"0.05\", expect_size=\"28352512\"] \n  40 -> 49 [size =\"28352512\"]\n  41 [size=\"82513920\", alpha=\"0.10\", expect_size=\"41256960\"] \n  42 [size=\"25092096\", alpha=\"0.07\", expect_size=\"12546048\"] \n  42 -> 49 [size =\"12546048\"]\n  42 -> 50 [size =\"12546048\"]\n  43 [size=\"88909824\", alpha=\"0.18\", expect_size=\"44454912\"] \n  43 -> 48 [size =\"44454912\"]\n  44 [size=\"61790208\", alpha=\"0.02\", expect_size=\"30895104\"] \n  44 -> 48 [size =\"30895104\"]\n  45 [size=\"92870656\", alpha=\"0.19\", expect_size=\"46435328\"] \n  45 -> 48 [size =\"46435328\"]\n  46 [size=\"68726784\", alpha=\"0.02\", expect_size=\"34363392\"] \n  46 -> 48 [size =\"34363392\"]\n  46 -> 50 [size =\"34363392\"]\n  47 [size=\"55414784\", alpha=\"0.20\", expect_size=\"27707392\"] \n  48 [size=\"97708032\", alpha=\"0.19\", expect_size=\"48854016\"] \n  49 [size=\"43382784\", alpha=\"0.01\", expect_size=\"21691392\"] \n  50 [size=\"83060736\", alpha=\"0.05\", expect_size=\"41530368\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.812.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125655040\", alpha=\"0.06\", expect_size=\"37696512\"] \n  1 -> 33 [size =\"37696512\"]\n  1 -> 42 [size =\"37696512\"]\n  1 -> 44 [size =\"37696512\"]\n  2 [size=\"54835200\", alpha=\"0.03\", expect_size=\"16450560\"] \n  2 -> 34 [size =\"16450560\"]\n  2 -> 37 [size =\"16450560\"]\n  3 [size=\"83179520\", alpha=\"0.20\", expect_size=\"24953856\"] \n  3 -> 39 [size =\"24953856\"]\n  3 -> 45 [size =\"24953856\"]\n  4 [size=\"47998293\", alpha=\"0.04\", expect_size=\"14399488\"] \n  4 -> 32 [size =\"14399488\"]\n  4 -> 37 [size =\"14399488\"]\n  4 -> 38 [size =\"14399488\"]\n  4 -> 39 [size =\"14399488\"]\n  4 -> 43 [size =\"14399488\"]\n  4 -> 47 [size =\"14399488\"]\n  5 [size=\"75864747\", alpha=\"0.04\", expect_size=\"22759424\"] \n  5 -> 34 [size =\"22759424\"]\n  5 -> 41 [size =\"22759424\"]\n  5 -> 44 [size =\"22759424\"]\n  5 -> 47 [size =\"22759424\"]\n  6 [size=\"150685013\", alpha=\"0.01\", expect_size=\"45205504\"] \n  6 -> 36 [size =\"45205504\"]\n  6 -> 38 [size =\"45205504\"]\n  6 -> 42 [size =\"45205504\"]\n  6 -> 44 [size =\"45205504\"]\n  6 -> 47 [size =\"45205504\"]\n  7 [size=\"99082240\", alpha=\"0.06\", expect_size=\"29724672\"] \n  7 -> 32 [size =\"29724672\"]\n  7 -> 33 [size =\"29724672\"]\n  7 -> 34 [size =\"29724672\"]\n  7 -> 36 [size =\"29724672\"]\n  7 -> 40 [size =\"29724672\"]\n  7 -> 42 [size =\"29724672\"]\n  7 -> 47 [size =\"29724672\"]\n  7 -> 49 [size =\"29724672\"]\n  8 [size=\"74451627\", alpha=\"0.15\", expect_size=\"22335488\"] \n  8 -> 35 [size =\"22335488\"]\n  8 -> 36 [size =\"22335488\"]\n  8 -> 39 [size =\"22335488\"]\n  8 -> 40 [size =\"22335488\"]\n  8 -> 42 [size =\"22335488\"]\n  8 -> 46 [size =\"22335488\"]\n  8 -> 49 [size =\"22335488\"]\n  8 -> 50 [size =\"22335488\"]\n  9 [size=\"84336640\", alpha=\"0.12\", expect_size=\"25300992\"] \n  9 -> 32 [size =\"25300992\"]\n  9 -> 39 [size =\"25300992\"]\n  10 [size=\"129092267\", alpha=\"0.01\", expect_size=\"38727680\"] \n  10 -> 33 [size =\"38727680\"]\n  10 -> 39 [size =\"38727680\"]\n  10 -> 41 [size =\"38727680\"]\n  10 -> 43 [size =\"38727680\"]\n  10 -> 46 [size =\"38727680\"]\n  11 [size=\"51066880\", alpha=\"0.17\", expect_size=\"15320064\"] \n  11 -> 39 [size =\"15320064\"]\n  11 -> 39 [size =\"15320064\"]\n  11 -> 42 [size =\"15320064\"]\n  11 -> 43 [size =\"15320064\"]\n  11 -> 44 [size =\"15320064\"]\n  11 -> 46 [size =\"15320064\"]\n  11 -> 48 [size =\"15320064\"]\n  12 [size=\"94829227\", alpha=\"0.19\", expect_size=\"28448768\"] \n  12 -> 34 [size =\"28448768\"]\n  12 -> 40 [size =\"28448768\"]\n  12 -> 43 [size =\"28448768\"]\n  12 -> 50 [size =\"28448768\"]\n  13 [size=\"121234773\", alpha=\"0.04\", expect_size=\"36370432\"] \n  13 -> 36 [size =\"36370432\"]\n  13 -> 37 [size =\"36370432\"]\n  13 -> 40 [size =\"36370432\"]\n  13 -> 50 [size =\"36370432\"]\n  14 [size=\"118388053\", alpha=\"0.06\", expect_size=\"35516416\"] \n  14 -> 32 [size =\"35516416\"]\n  14 -> 36 [size =\"35516416\"]\n  14 -> 40 [size =\"35516416\"]\n  14 -> 50 [size =\"35516416\"]\n  15 [size=\"149350400\", alpha=\"0.05\", expect_size=\"44805120\"] \n  15 -> 40 [size =\"44805120\"]\n  15 -> 47 [size =\"44805120\"]\n  16 [size=\"23801173\", alpha=\"0.13\", expect_size=\"7140352\"] \n  16 -> 33 [size =\"7140352\"]\n  16 -> 37 [size =\"7140352\"]\n  16 -> 40 [size =\"7140352\"]\n  16 -> 47 [size =\"7140352\"]\n  17 [size=\"32204800\", alpha=\"0.17\", expect_size=\"9661440\"] \n  17 -> 32 [size =\"9661440\"]\n  17 -> 33 [size =\"9661440\"]\n  17 -> 36 [size =\"9661440\"]\n  17 -> 38 [size =\"9661440\"]\n  17 -> 42 [size =\"9661440\"]\n  18 [size=\"82800640\", alpha=\"0.04\", expect_size=\"24840192\"] \n  18 -> 32 [size =\"24840192\"]\n  18 -> 34 [size =\"24840192\"]\n  18 -> 36 [size =\"24840192\"]\n  18 -> 39 [size =\"24840192\"]\n  18 -> 40 [size =\"24840192\"]\n  18 -> 47 [size =\"24840192\"]\n  19 [size=\"43520000\", alpha=\"0.08\", expect_size=\"13056000\"] \n  19 -> 38 [size =\"13056000\"]\n  19 -> 47 [size =\"13056000\"]\n  20 [size=\"140741973\", alpha=\"0.20\", expect_size=\"42222592\"] \n  20 -> 32 [size =\"42222592\"]\n  20 -> 39 [size =\"42222592\"]\n  20 -> 41 [size =\"42222592\"]\n  20 -> 47 [size =\"42222592\"]\n  20 -> 48 [size =\"42222592\"]\n  21 [size=\"150063787\", alpha=\"0.05\", expect_size=\"45019136\"] \n  21 -> 39 [size =\"45019136\"]\n  21 -> 41 [size =\"45019136\"]\n  21 -> 46 [size =\"45019136\"]\n  21 -> 47 [size =\"45019136\"]\n  21 -> 48 [size =\"45019136\"]\n  22 [size=\"128621227\", alpha=\"0.14\", expect_size=\"38586368\"] \n  22 -> 32 [size =\"38586368\"]\n  22 -> 33 [size =\"38586368\"]\n  22 -> 41 [size =\"38586368\"]\n  23 [size=\"117285547\", alpha=\"0.13\", expect_size=\"35185664\"] \n  23 -> 37 [size =\"35185664\"]\n  23 -> 38 [size =\"35185664\"]\n  23 -> 42 [size =\"35185664\"]\n  23 -> 43 [size =\"35185664\"]\n  23 -> 47 [size =\"35185664\"]\n  24 [size=\"144848213\", alpha=\"0.15\", expect_size=\"43454464\"] \n  24 -> 32 [size =\"43454464\"]\n  24 -> 34 [size =\"43454464\"]\n  24 -> 36 [size =\"43454464\"]\n  24 -> 37 [size =\"43454464\"]\n  24 -> 38 [size =\"43454464\"]\n  24 -> 39 [size =\"43454464\"]\n  24 -> 42 [size =\"43454464\"]\n  24 -> 43 [size =\"43454464\"]\n  24 -> 47 [size =\"43454464\"]\n  25 [size=\"32153600\", alpha=\"0.04\", expect_size=\"9646080\"] \n  25 -> 34 [size =\"9646080\"]\n  25 -> 34 [size =\"9646080\"]\n  25 -> 38 [size =\"9646080\"]\n  25 -> 39 [size =\"9646080\"]\n  25 -> 43 [size =\"9646080\"]\n  26 [size=\"69143893\", alpha=\"0.11\", expect_size=\"20743168\"] \n  26 -> 33 [size =\"20743168\"]\n  26 -> 38 [size =\"20743168\"]\n  26 -> 39 [size =\"20743168\"]\n  26 -> 39 [size =\"20743168\"]\n  26 -> 40 [size =\"20743168\"]\n  27 [size=\"167635627\", alpha=\"0.07\", expect_size=\"50290688\"] \n  27 -> 34 [size =\"50290688\"]\n  27 -> 37 [size =\"50290688\"]\n  27 -> 43 [size =\"50290688\"]\n  27 -> 45 [size =\"50290688\"]\n  27 -> 47 [size =\"50290688\"]\n  27 -> 48 [size =\"50290688\"]\n  28 [size=\"147008853\", alpha=\"0.11\", expect_size=\"44102656\"] \n  28 -> 36 [size =\"44102656\"]\n  28 -> 37 [size =\"44102656\"]\n  28 -> 38 [size =\"44102656\"]\n  28 -> 39 [size =\"44102656\"]\n  29 [size=\"17612800\", alpha=\"0.04\", expect_size=\"5283840\"] \n  29 -> 37 [size =\"5283840\"]\n  29 -> 40 [size =\"5283840\"]\n  29 -> 42 [size =\"5283840\"]\n  29 -> 47 [size =\"5283840\"]\n  30 [size=\"82421760\", alpha=\"0.11\", expect_size=\"24726528\"] \n  30 -> 33 [size =\"24726528\"]\n  30 -> 37 [size =\"24726528\"]\n  30 -> 39 [size =\"24726528\"]\n  30 -> 40 [size =\"24726528\"]\n  30 -> 46 [size =\"24726528\"]\n  30 -> 47 [size =\"24726528\"]\n  31 [size=\"78926507\", alpha=\"0.02\", expect_size=\"23677952\"] \n  31 -> 32 [size =\"23677952\"]\n  31 -> 34 [size =\"23677952\"]\n  31 -> 35 [size =\"23677952\"]\n  31 -> 36 [size =\"23677952\"]\n  31 -> 38 [size =\"23677952\"]\n  31 -> 41 [size =\"23677952\"]\n  31 -> 42 [size =\"23677952\"]\n  32 [size=\"115298987\", alpha=\"0.03\", expect_size=\"34589696\"] \n  33 [size=\"71615147\", alpha=\"0.17\", expect_size=\"21484544\"] \n  34 [size=\"170868053\", alpha=\"0.03\", expect_size=\"51260416\"] \n  35 [size=\"129003520\", alpha=\"0.07\", expect_size=\"38701056\"] \n  36 [size=\"161703253\", alpha=\"0.12\", expect_size=\"48510976\"] \n  37 [size=\"87599787\", alpha=\"0.18\", expect_size=\"26279936\"] \n  38 [size=\"145588907\", alpha=\"0.12\", expect_size=\"43676672\"] \n  39 [size=\"78076587\", alpha=\"0.10\", expect_size=\"23422976\"] \n  40 [size=\"109202773\", alpha=\"0.04\", expect_size=\"32760832\"] \n  41 [size=\"36017493\", alpha=\"0.14\", expect_size=\"10805248\"] \n  42 [size=\"49401173\", alpha=\"0.19\", expect_size=\"14820352\"] \n  43 [size=\"69420373\", alpha=\"0.16\", expect_size=\"20826112\"] \n  44 [size=\"42550613\", alpha=\"0.10\", expect_size=\"12765184\"] \n  45 [size=\"69700267\", alpha=\"0.05\", expect_size=\"20910080\"] \n  46 [size=\"125467307\", alpha=\"0.07\", expect_size=\"37640192\"] \n  47 [size=\"58883413\", alpha=\"0.08\", expect_size=\"17665024\"] \n  48 [size=\"41973760\", alpha=\"0.06\", expect_size=\"12592128\"] \n  49 [size=\"140062720\", alpha=\"0.03\", expect_size=\"42018816\"] \n  50 [size=\"64617813\", alpha=\"0.09\", expect_size=\"19385344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.813.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75279360\", alpha=\"0.10\", expect_size=\"30111744\"] \n  1 -> 6 [size =\"30111744\"]\n  1 -> 7 [size =\"30111744\"]\n  1 -> 9 [size =\"30111744\"]\n  1 -> 11 [size =\"30111744\"]\n  2 [size=\"14983680\", alpha=\"0.16\", expect_size=\"5993472\"] \n  2 -> 6 [size =\"5993472\"]\n  2 -> 9 [size =\"5993472\"]\n  2 -> 10 [size =\"5993472\"]\n  2 -> 11 [size =\"5993472\"]\n  3 [size=\"54650880\", alpha=\"0.01\", expect_size=\"21860352\"] \n  3 -> 6 [size =\"21860352\"]\n  3 -> 7 [size =\"21860352\"]\n  3 -> 8 [size =\"21860352\"]\n  3 -> 9 [size =\"21860352\"]\n  3 -> 10 [size =\"21860352\"]\n  3 -> 11 [size =\"21860352\"]\n  4 [size=\"57080320\", alpha=\"0.17\", expect_size=\"22832128\"] \n  4 -> 7 [size =\"22832128\"]\n  4 -> 8 [size =\"22832128\"]\n  4 -> 9 [size =\"22832128\"]\n  4 -> 10 [size =\"22832128\"]\n  5 [size=\"91005440\", alpha=\"0.04\", expect_size=\"36402176\"] \n  5 -> 6 [size =\"36402176\"]\n  5 -> 7 [size =\"36402176\"]\n  5 -> 9 [size =\"36402176\"]\n  5 -> 11 [size =\"36402176\"]\n  6 [size=\"24972800\", alpha=\"0.04\", expect_size=\"9989120\"] \n  6 -> 12 [size =\"9989120\"]\n  6 -> 14 [size =\"9989120\"]\n  6 -> 15 [size =\"9989120\"]\n  6 -> 17 [size =\"9989120\"]\n  6 -> 18 [size =\"9989120\"]\n  7 [size=\"112184320\", alpha=\"0.06\", expect_size=\"44873728\"] \n  7 -> 12 [size =\"44873728\"]\n  7 -> 13 [size =\"44873728\"]\n  7 -> 14 [size =\"44873728\"]\n  7 -> 17 [size =\"44873728\"]\n  7 -> 18 [size =\"44873728\"]\n  8 [size=\"111193600\", alpha=\"0.09\", expect_size=\"44477440\"] \n  8 -> 12 [size =\"44477440\"]\n  8 -> 16 [size =\"44477440\"]\n  8 -> 17 [size =\"44477440\"]\n  8 -> 18 [size =\"44477440\"]\n  8 -> 18 [size =\"44477440\"]\n  9 [size=\"32005120\", alpha=\"0.18\", expect_size=\"12802048\"] \n  9 -> 12 [size =\"12802048\"]\n  9 -> 15 [size =\"12802048\"]\n  9 -> 17 [size =\"12802048\"]\n  10 [size=\"108039680\", alpha=\"0.04\", expect_size=\"43215872\"] \n  10 -> 12 [size =\"43215872\"]\n  10 -> 17 [size =\"43215872\"]\n  10 -> 18 [size =\"43215872\"]\n  10 -> 19 [size =\"43215872\"]\n  11 [size=\"20241920\", alpha=\"0.12\", expect_size=\"8096768\"] \n  11 -> 12 [size =\"8096768\"]\n  12 [size=\"78999040\", alpha=\"0.20\", expect_size=\"31599616\"] \n  12 -> 20 [size =\"31599616\"]\n  12 -> 21 [size =\"31599616\"]\n  12 -> 22 [size =\"31599616\"]\n  12 -> 23 [size =\"31599616\"]\n  12 -> 25 [size =\"31599616\"]\n  13 [size=\"55052800\", alpha=\"0.17\", expect_size=\"22021120\"] \n  13 -> 20 [size =\"22021120\"]\n  13 -> 21 [size =\"22021120\"]\n  13 -> 22 [size =\"22021120\"]\n  13 -> 25 [size =\"22021120\"]\n  14 [size=\"62225920\", alpha=\"0.13\", expect_size=\"24890368\"] \n  14 -> 20 [size =\"24890368\"]\n  14 -> 23 [size =\"24890368\"]\n  15 [size=\"47121920\", alpha=\"0.20\", expect_size=\"18848768\"] \n  15 -> 22 [size =\"18848768\"]\n  15 -> 23 [size =\"18848768\"]\n  15 -> 25 [size =\"18848768\"]\n  16 [size=\"73192960\", alpha=\"0.05\", expect_size=\"29277184\"] \n  16 -> 22 [size =\"29277184\"]\n  16 -> 24 [size =\"29277184\"]\n  16 -> 25 [size =\"29277184\"]\n  17 [size=\"96924160\", alpha=\"0.17\", expect_size=\"38769664\"] \n  17 -> 22 [size =\"38769664\"]\n  17 -> 25 [size =\"38769664\"]\n  17 -> 25 [size =\"38769664\"]\n  18 [size=\"13624320\", alpha=\"0.03\", expect_size=\"5449728\"] \n  18 -> 21 [size =\"5449728\"]\n  18 -> 24 [size =\"5449728\"]\n  18 -> 25 [size =\"5449728\"]\n  19 [size=\"66677760\", alpha=\"0.05\", expect_size=\"26671104\"] \n  19 -> 23 [size =\"26671104\"]\n  19 -> 25 [size =\"26671104\"]\n  20 [size=\"53936640\", alpha=\"0.20\", expect_size=\"21574656\"] \n  20 -> 26 [size =\"21574656\"]\n  20 -> 28 [size =\"21574656\"]\n  20 -> 31 [size =\"21574656\"]\n  21 [size=\"74639360\", alpha=\"0.06\", expect_size=\"29855744\"] \n  21 -> 26 [size =\"29855744\"]\n  21 -> 28 [size =\"29855744\"]\n  21 -> 30 [size =\"29855744\"]\n  21 -> 31 [size =\"29855744\"]\n  22 [size=\"26147840\", alpha=\"0.12\", expect_size=\"10459136\"] \n  22 -> 26 [size =\"10459136\"]\n  22 -> 27 [size =\"10459136\"]\n  22 -> 28 [size =\"10459136\"]\n  22 -> 30 [size =\"10459136\"]\n  22 -> 31 [size =\"10459136\"]\n  22 -> 32 [size =\"10459136\"]\n  23 [size=\"25679360\", alpha=\"0.05\", expect_size=\"10271744\"] \n  23 -> 26 [size =\"10271744\"]\n  23 -> 27 [size =\"10271744\"]\n  23 -> 29 [size =\"10271744\"]\n  23 -> 30 [size =\"10271744\"]\n  23 -> 31 [size =\"10271744\"]\n  23 -> 32 [size =\"10271744\"]\n  24 [size=\"127439360\", alpha=\"0.05\", expect_size=\"50975744\"] \n  24 -> 27 [size =\"50975744\"]\n  24 -> 30 [size =\"50975744\"]\n  24 -> 31 [size =\"50975744\"]\n  24 -> 32 [size =\"50975744\"]\n  25 [size=\"84400640\", alpha=\"0.19\", expect_size=\"33760256\"] \n  25 -> 26 [size =\"33760256\"]\n  25 -> 28 [size =\"33760256\"]\n  25 -> 29 [size =\"33760256\"]\n  25 -> 31 [size =\"33760256\"]\n  26 [size=\"82122240\", alpha=\"0.15\", expect_size=\"32848896\"] \n  26 -> 34 [size =\"32848896\"]\n  26 -> 37 [size =\"32848896\"]\n  27 [size=\"110668800\", alpha=\"0.07\", expect_size=\"44267520\"] \n  27 -> 33 [size =\"44267520\"]\n  27 -> 34 [size =\"44267520\"]\n  27 -> 35 [size =\"44267520\"]\n  27 -> 36 [size =\"44267520\"]\n  27 -> 38 [size =\"44267520\"]\n  28 [size=\"94208000\", alpha=\"0.16\", expect_size=\"37683200\"] \n  29 [size=\"111887360\", alpha=\"0.09\", expect_size=\"44754944\"] \n  29 -> 35 [size =\"44754944\"]\n  29 -> 36 [size =\"44754944\"]\n  29 -> 39 [size =\"44754944\"]\n  30 [size=\"21184000\", alpha=\"0.17\", expect_size=\"8473600\"] \n  30 -> 36 [size =\"8473600\"]\n  30 -> 37 [size =\"8473600\"]\n  31 [size=\"20014080\", alpha=\"0.07\", expect_size=\"8005632\"] \n  31 -> 33 [size =\"8005632\"]\n  31 -> 34 [size =\"8005632\"]\n  31 -> 35 [size =\"8005632\"]\n  31 -> 36 [size =\"8005632\"]\n  31 -> 37 [size =\"8005632\"]\n  31 -> 39 [size =\"8005632\"]\n  32 [size=\"52582400\", alpha=\"0.08\", expect_size=\"21032960\"] \n  32 -> 34 [size =\"21032960\"]\n  32 -> 35 [size =\"21032960\"]\n  32 -> 37 [size =\"21032960\"]\n  33 [size=\"120765440\", alpha=\"0.16\", expect_size=\"48306176\"] \n  33 -> 43 [size =\"48306176\"]\n  33 -> 43 [size =\"48306176\"]\n  33 -> 44 [size =\"48306176\"]\n  33 -> 45 [size =\"48306176\"]\n  34 [size=\"30179840\", alpha=\"0.12\", expect_size=\"12071936\"] \n  34 -> 40 [size =\"12071936\"]\n  34 -> 42 [size =\"12071936\"]\n  34 -> 44 [size =\"12071936\"]\n  34 -> 45 [size =\"12071936\"]\n  35 [size=\"60730880\", alpha=\"0.14\", expect_size=\"24292352\"] \n  35 -> 43 [size =\"24292352\"]\n  35 -> 45 [size =\"24292352\"]\n  36 [size=\"54389760\", alpha=\"0.06\", expect_size=\"21755904\"] \n  36 -> 43 [size =\"21755904\"]\n  36 -> 45 [size =\"21755904\"]\n  37 [size=\"23019520\", alpha=\"0.13\", expect_size=\"9207808\"] \n  37 -> 42 [size =\"9207808\"]\n  37 -> 44 [size =\"9207808\"]\n  37 -> 45 [size =\"9207808\"]\n  38 [size=\"65702400\", alpha=\"0.20\", expect_size=\"26280960\"] \n  38 -> 41 [size =\"26280960\"]\n  38 -> 42 [size =\"26280960\"]\n  38 -> 43 [size =\"26280960\"]\n  38 -> 44 [size =\"26280960\"]\n  38 -> 45 [size =\"26280960\"]\n  39 [size=\"44595200\", alpha=\"0.15\", expect_size=\"17838080\"] \n  39 -> 41 [size =\"17838080\"]\n  39 -> 43 [size =\"17838080\"]\n  39 -> 44 [size =\"17838080\"]\n  39 -> 44 [size =\"17838080\"]\n  40 [size=\"96563200\", alpha=\"0.18\", expect_size=\"38625280\"] \n  40 -> 47 [size =\"38625280\"]\n  40 -> 49 [size =\"38625280\"]\n  41 [size=\"80609280\", alpha=\"0.11\", expect_size=\"32243712\"] \n  41 -> 49 [size =\"32243712\"]\n  42 [size=\"121835520\", alpha=\"0.06\", expect_size=\"48734208\"] \n  42 -> 46 [size =\"48734208\"]\n  42 -> 48 [size =\"48734208\"]\n  42 -> 50 [size =\"48734208\"]\n  43 [size=\"50206720\", alpha=\"0.03\", expect_size=\"20082688\"] \n  43 -> 48 [size =\"20082688\"]\n  43 -> 49 [size =\"20082688\"]\n  44 [size=\"25633280\", alpha=\"0.20\", expect_size=\"10253312\"] \n  44 -> 46 [size =\"10253312\"]\n  44 -> 48 [size =\"10253312\"]\n  44 -> 49 [size =\"10253312\"]\n  45 [size=\"97239040\", alpha=\"0.09\", expect_size=\"38895616\"] \n  45 -> 48 [size =\"38895616\"]\n  45 -> 49 [size =\"38895616\"]\n  45 -> 49 [size =\"38895616\"]\n  46 [size=\"63106560\", alpha=\"0.09\", expect_size=\"25242624\"] \n  47 [size=\"101283840\", alpha=\"0.06\", expect_size=\"40513536\"] \n  48 [size=\"59668480\", alpha=\"0.17\", expect_size=\"23867392\"] \n  49 [size=\"56737280\", alpha=\"0.05\", expect_size=\"22694912\"] \n  50 [size=\"28101120\", alpha=\"0.14\", expect_size=\"11240448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.814.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22871040\", alpha=\"0.07\", expect_size=\"9148416\"] \n  1 -> 7 [size =\"9148416\"]\n  1 -> 8 [size =\"9148416\"]\n  1 -> 12 [size =\"9148416\"]\n  2 [size=\"37826560\", alpha=\"0.07\", expect_size=\"15130624\"] \n  2 -> 7 [size =\"15130624\"]\n  2 -> 9 [size =\"15130624\"]\n  2 -> 11 [size =\"15130624\"]\n  2 -> 12 [size =\"15130624\"]\n  3 [size=\"46778880\", alpha=\"0.08\", expect_size=\"18711552\"] \n  3 -> 8 [size =\"18711552\"]\n  4 [size=\"31779840\", alpha=\"0.16\", expect_size=\"12711936\"] \n  4 -> 8 [size =\"12711936\"]\n  4 -> 9 [size =\"12711936\"]\n  5 [size=\"125524480\", alpha=\"0.17\", expect_size=\"50209792\"] \n  5 -> 8 [size =\"50209792\"]\n  5 -> 10 [size =\"50209792\"]\n  5 -> 11 [size =\"50209792\"]\n  6 [size=\"38942720\", alpha=\"0.15\", expect_size=\"15577088\"] \n  6 -> 7 [size =\"15577088\"]\n  6 -> 12 [size =\"15577088\"]\n  7 [size=\"13977600\", alpha=\"0.19\", expect_size=\"5591040\"] \n  7 -> 13 [size =\"5591040\"]\n  7 -> 14 [size =\"5591040\"]\n  7 -> 17 [size =\"5591040\"]\n  8 [size=\"74291200\", alpha=\"0.02\", expect_size=\"29716480\"] \n  8 -> 13 [size =\"29716480\"]\n  8 -> 16 [size =\"29716480\"]\n  9 [size=\"121021440\", alpha=\"0.03\", expect_size=\"48408576\"] \n  9 -> 13 [size =\"48408576\"]\n  9 -> 16 [size =\"48408576\"]\n  9 -> 18 [size =\"48408576\"]\n  10 [size=\"75991040\", alpha=\"0.09\", expect_size=\"30396416\"] \n  10 -> 14 [size =\"30396416\"]\n  11 [size=\"33144320\", alpha=\"0.20\", expect_size=\"13257728\"] \n  11 -> 15 [size =\"13257728\"]\n  12 [size=\"73054720\", alpha=\"0.18\", expect_size=\"29221888\"] \n  13 [size=\"112440320\", alpha=\"0.06\", expect_size=\"44976128\"] \n  13 -> 23 [size =\"44976128\"]\n  14 [size=\"41623040\", alpha=\"0.10\", expect_size=\"16649216\"] \n  14 -> 20 [size =\"16649216\"]\n  14 -> 21 [size =\"16649216\"]\n  14 -> 22 [size =\"16649216\"]\n  15 [size=\"18432000\", alpha=\"0.03\", expect_size=\"7372800\"] \n  15 -> 20 [size =\"7372800\"]\n  15 -> 22 [size =\"7372800\"]\n  15 -> 23 [size =\"7372800\"]\n  16 [size=\"117655040\", alpha=\"0.16\", expect_size=\"47062016\"] \n  16 -> 19 [size =\"47062016\"]\n  16 -> 22 [size =\"47062016\"]\n  16 -> 23 [size =\"47062016\"]\n  16 -> 24 [size =\"47062016\"]\n  17 [size=\"89080320\", alpha=\"0.16\", expect_size=\"35632128\"] \n  18 [size=\"84085760\", alpha=\"0.03\", expect_size=\"33634304\"] \n  18 -> 19 [size =\"33634304\"]\n  18 -> 21 [size =\"33634304\"]\n  18 -> 24 [size =\"33634304\"]\n  19 [size=\"97387520\", alpha=\"0.12\", expect_size=\"38955008\"] \n  19 -> 28 [size =\"38955008\"]\n  19 -> 29 [size =\"38955008\"]\n  20 [size=\"112225280\", alpha=\"0.00\", expect_size=\"44890112\"] \n  21 [size=\"49955840\", alpha=\"0.11\", expect_size=\"19982336\"] \n  21 -> 30 [size =\"19982336\"]\n  22 [size=\"48770560\", alpha=\"0.06\", expect_size=\"19508224\"] \n  22 -> 27 [size =\"19508224\"]\n  22 -> 28 [size =\"19508224\"]\n  22 -> 30 [size =\"19508224\"]\n  23 [size=\"35978240\", alpha=\"0.06\", expect_size=\"14391296\"] \n  23 -> 26 [size =\"14391296\"]\n  23 -> 29 [size =\"14391296\"]\n  24 [size=\"73361920\", alpha=\"0.10\", expect_size=\"29344768\"] \n  24 -> 25 [size =\"29344768\"]\n  24 -> 26 [size =\"29344768\"]\n  24 -> 27 [size =\"29344768\"]\n  24 -> 29 [size =\"29344768\"]\n  24 -> 30 [size =\"29344768\"]\n  25 [size=\"16061440\", alpha=\"0.12\", expect_size=\"6424576\"] \n  25 -> 32 [size =\"6424576\"]\n  25 -> 33 [size =\"6424576\"]\n  25 -> 36 [size =\"6424576\"]\n  26 [size=\"32921600\", alpha=\"0.19\", expect_size=\"13168640\"] \n  26 -> 31 [size =\"13168640\"]\n  26 -> 32 [size =\"13168640\"]\n  26 -> 33 [size =\"13168640\"]\n  26 -> 35 [size =\"13168640\"]\n  26 -> 36 [size =\"13168640\"]\n  26 -> 37 [size =\"13168640\"]\n  27 [size=\"127907840\", alpha=\"0.07\", expect_size=\"51163136\"] \n  27 -> 32 [size =\"51163136\"]\n  27 -> 36 [size =\"51163136\"]\n  27 -> 37 [size =\"51163136\"]\n  28 [size=\"102771200\", alpha=\"0.04\", expect_size=\"41108480\"] \n  28 -> 34 [size =\"41108480\"]\n  29 [size=\"119475200\", alpha=\"0.20\", expect_size=\"47790080\"] \n  29 -> 31 [size =\"47790080\"]\n  29 -> 32 [size =\"47790080\"]\n  29 -> 34 [size =\"47790080\"]\n  29 -> 36 [size =\"47790080\"]\n  29 -> 37 [size =\"47790080\"]\n  30 [size=\"69808640\", alpha=\"0.06\", expect_size=\"27923456\"] \n  30 -> 33 [size =\"27923456\"]\n  30 -> 37 [size =\"27923456\"]\n  31 [size=\"72409600\", alpha=\"0.16\", expect_size=\"28963840\"] \n  31 -> 39 [size =\"28963840\"]\n  31 -> 40 [size =\"28963840\"]\n  31 -> 43 [size =\"28963840\"]\n  32 [size=\"19077120\", alpha=\"0.16\", expect_size=\"7630848\"] \n  32 -> 38 [size =\"7630848\"]\n  32 -> 41 [size =\"7630848\"]\n  33 [size=\"52495360\", alpha=\"0.13\", expect_size=\"20998144\"] \n  33 -> 39 [size =\"20998144\"]\n  34 [size=\"88373760\", alpha=\"0.15\", expect_size=\"35349504\"] \n  34 -> 38 [size =\"35349504\"]\n  34 -> 41 [size =\"35349504\"]\n  34 -> 42 [size =\"35349504\"]\n  35 [size=\"27420160\", alpha=\"0.18\", expect_size=\"10968064\"] \n  35 -> 42 [size =\"10968064\"]\n  36 [size=\"100016640\", alpha=\"0.18\", expect_size=\"40006656\"] \n  37 [size=\"96071680\", alpha=\"0.11\", expect_size=\"38428672\"] \n  37 -> 42 [size =\"38428672\"]\n  38 [size=\"16455680\", alpha=\"0.17\", expect_size=\"6582272\"] \n  38 -> 44 [size =\"6582272\"]\n  38 -> 45 [size =\"6582272\"]\n  38 -> 48 [size =\"6582272\"]\n  39 [size=\"40320000\", alpha=\"0.16\", expect_size=\"16128000\"] \n  39 -> 49 [size =\"16128000\"]\n  40 [size=\"39646720\", alpha=\"0.12\", expect_size=\"15858688\"] \n  40 -> 45 [size =\"15858688\"]\n  40 -> 47 [size =\"15858688\"]\n  40 -> 48 [size =\"15858688\"]\n  40 -> 49 [size =\"15858688\"]\n  41 [size=\"77324800\", alpha=\"0.15\", expect_size=\"30929920\"] \n  41 -> 44 [size =\"30929920\"]\n  41 -> 45 [size =\"30929920\"]\n  41 -> 49 [size =\"30929920\"]\n  42 [size=\"55429120\", alpha=\"0.04\", expect_size=\"22171648\"] \n  42 -> 44 [size =\"22171648\"]\n  42 -> 46 [size =\"22171648\"]\n  42 -> 47 [size =\"22171648\"]\n  42 -> 49 [size =\"22171648\"]\n  43 [size=\"33909760\", alpha=\"0.16\", expect_size=\"13563904\"] \n  43 -> 44 [size =\"13563904\"]\n  43 -> 45 [size =\"13563904\"]\n  44 [size=\"112097280\", alpha=\"0.19\", expect_size=\"44838912\"] \n  45 [size=\"82583040\", alpha=\"0.02\", expect_size=\"33033216\"] \n  46 [size=\"68654080\", alpha=\"0.09\", expect_size=\"27461632\"] \n  46 -> 50 [size =\"27461632\"]\n  47 [size=\"56898560\", alpha=\"0.15\", expect_size=\"22759424\"] \n  47 -> 50 [size =\"22759424\"]\n  48 [size=\"123292160\", alpha=\"0.16\", expect_size=\"49316864\"] \n  48 -> 50 [size =\"49316864\"]\n  49 [size=\"102878720\", alpha=\"0.16\", expect_size=\"41151488\"] \n  50 [size=\"79946240\", alpha=\"0.05\", expect_size=\"31978496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.815.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76694187\", alpha=\"0.04\", expect_size=\"23008256\"] \n  1 -> 16 [size =\"23008256\"]\n  1 -> 17 [size =\"23008256\"]\n  1 -> 19 [size =\"23008256\"]\n  1 -> 21 [size =\"23008256\"]\n  1 -> 22 [size =\"23008256\"]\n  1 -> 26 [size =\"23008256\"]\n  1 -> 27 [size =\"23008256\"]\n  2 [size=\"163915093\", alpha=\"0.05\", expect_size=\"49174528\"] \n  2 -> 16 [size =\"49174528\"]\n  2 -> 17 [size =\"49174528\"]\n  2 -> 18 [size =\"49174528\"]\n  2 -> 20 [size =\"49174528\"]\n  2 -> 21 [size =\"49174528\"]\n  2 -> 22 [size =\"49174528\"]\n  2 -> 25 [size =\"49174528\"]\n  2 -> 27 [size =\"49174528\"]\n  3 [size=\"22258347\", alpha=\"0.10\", expect_size=\"6677504\"] \n  3 -> 18 [size =\"6677504\"]\n  3 -> 21 [size =\"6677504\"]\n  3 -> 22 [size =\"6677504\"]\n  3 -> 24 [size =\"6677504\"]\n  3 -> 26 [size =\"6677504\"]\n  3 -> 30 [size =\"6677504\"]\n  3 -> 31 [size =\"6677504\"]\n  4 [size=\"95754240\", alpha=\"0.14\", expect_size=\"28726272\"] \n  4 -> 18 [size =\"28726272\"]\n  4 -> 19 [size =\"28726272\"]\n  4 -> 23 [size =\"28726272\"]\n  4 -> 26 [size =\"28726272\"]\n  4 -> 29 [size =\"28726272\"]\n  4 -> 31 [size =\"28726272\"]\n  5 [size=\"140120747\", alpha=\"0.11\", expect_size=\"42036224\"] \n  5 -> 16 [size =\"42036224\"]\n  5 -> 19 [size =\"42036224\"]\n  5 -> 20 [size =\"42036224\"]\n  5 -> 21 [size =\"42036224\"]\n  5 -> 23 [size =\"42036224\"]\n  5 -> 25 [size =\"42036224\"]\n  5 -> 26 [size =\"42036224\"]\n  5 -> 27 [size =\"42036224\"]\n  5 -> 31 [size =\"42036224\"]\n  6 [size=\"97785173\", alpha=\"0.01\", expect_size=\"29335552\"] \n  6 -> 19 [size =\"29335552\"]\n  6 -> 19 [size =\"29335552\"]\n  6 -> 20 [size =\"29335552\"]\n  6 -> 21 [size =\"29335552\"]\n  6 -> 25 [size =\"29335552\"]\n  6 -> 26 [size =\"29335552\"]\n  7 [size=\"20927147\", alpha=\"0.13\", expect_size=\"6278144\"] \n  7 -> 18 [size =\"6278144\"]\n  7 -> 19 [size =\"6278144\"]\n  7 -> 22 [size =\"6278144\"]\n  7 -> 24 [size =\"6278144\"]\n  7 -> 26 [size =\"6278144\"]\n  7 -> 31 [size =\"6278144\"]\n  8 [size=\"112814080\", alpha=\"0.18\", expect_size=\"33844224\"] \n  8 -> 17 [size =\"33844224\"]\n  8 -> 18 [size =\"33844224\"]\n  8 -> 24 [size =\"33844224\"]\n  8 -> 25 [size =\"33844224\"]\n  8 -> 26 [size =\"33844224\"]\n  8 -> 28 [size =\"33844224\"]\n  8 -> 31 [size =\"33844224\"]\n  9 [size=\"40942933\", alpha=\"0.15\", expect_size=\"12282880\"] \n  9 -> 23 [size =\"12282880\"]\n  9 -> 25 [size =\"12282880\"]\n  9 -> 26 [size =\"12282880\"]\n  10 [size=\"133137067\", alpha=\"0.14\", expect_size=\"39941120\"] \n  10 -> 17 [size =\"39941120\"]\n  10 -> 20 [size =\"39941120\"]\n  10 -> 21 [size =\"39941120\"]\n  10 -> 22 [size =\"39941120\"]\n  10 -> 27 [size =\"39941120\"]\n  10 -> 30 [size =\"39941120\"]\n  11 [size=\"88886613\", alpha=\"0.06\", expect_size=\"26665984\"] \n  11 -> 17 [size =\"26665984\"]\n  11 -> 20 [size =\"26665984\"]\n  11 -> 22 [size =\"26665984\"]\n  11 -> 22 [size =\"26665984\"]\n  11 -> 25 [size =\"26665984\"]\n  12 [size=\"123883520\", alpha=\"0.00\", expect_size=\"37165056\"] \n  12 -> 17 [size =\"37165056\"]\n  12 -> 19 [size =\"37165056\"]\n  12 -> 20 [size =\"37165056\"]\n  12 -> 25 [size =\"37165056\"]\n  12 -> 27 [size =\"37165056\"]\n  13 [size=\"162546347\", alpha=\"0.03\", expect_size=\"48763904\"] \n  13 -> 17 [size =\"48763904\"]\n  13 -> 20 [size =\"48763904\"]\n  13 -> 21 [size =\"48763904\"]\n  13 -> 22 [size =\"48763904\"]\n  13 -> 24 [size =\"48763904\"]\n  13 -> 27 [size =\"48763904\"]\n  13 -> 30 [size =\"48763904\"]\n  14 [size=\"84609707\", alpha=\"0.10\", expect_size=\"25382912\"] \n  14 -> 16 [size =\"25382912\"]\n  14 -> 17 [size =\"25382912\"]\n  14 -> 19 [size =\"25382912\"]\n  14 -> 22 [size =\"25382912\"]\n  14 -> 23 [size =\"25382912\"]\n  14 -> 27 [size =\"25382912\"]\n  14 -> 30 [size =\"25382912\"]\n  15 [size=\"36706987\", alpha=\"0.18\", expect_size=\"11012096\"] \n  15 -> 16 [size =\"11012096\"]\n  15 -> 17 [size =\"11012096\"]\n  15 -> 25 [size =\"11012096\"]\n  15 -> 27 [size =\"11012096\"]\n  16 [size=\"120630613\", alpha=\"0.07\", expect_size=\"36189184\"] \n  16 -> 32 [size =\"36189184\"]\n  16 -> 33 [size =\"36189184\"]\n  16 -> 36 [size =\"36189184\"]\n  16 -> 40 [size =\"36189184\"]\n  17 [size=\"128174080\", alpha=\"0.08\", expect_size=\"38452224\"] \n  17 -> 38 [size =\"38452224\"]\n  17 -> 40 [size =\"38452224\"]\n  18 [size=\"75004587\", alpha=\"0.01\", expect_size=\"22501376\"] \n  18 -> 35 [size =\"22501376\"]\n  18 -> 37 [size =\"22501376\"]\n  18 -> 44 [size =\"22501376\"]\n  18 -> 45 [size =\"22501376\"]\n  19 [size=\"55937707\", alpha=\"0.12\", expect_size=\"16781312\"] \n  19 -> 33 [size =\"16781312\"]\n  19 -> 35 [size =\"16781312\"]\n  19 -> 36 [size =\"16781312\"]\n  19 -> 37 [size =\"16781312\"]\n  19 -> 43 [size =\"16781312\"]\n  19 -> 45 [size =\"16781312\"]\n  20 [size=\"170294613\", alpha=\"0.03\", expect_size=\"51088384\"] \n  20 -> 33 [size =\"51088384\"]\n  20 -> 39 [size =\"51088384\"]\n  20 -> 40 [size =\"51088384\"]\n  20 -> 42 [size =\"51088384\"]\n  21 [size=\"126822400\", alpha=\"0.02\", expect_size=\"38046720\"] \n  21 -> 32 [size =\"38046720\"]\n  21 -> 33 [size =\"38046720\"]\n  21 -> 36 [size =\"38046720\"]\n  21 -> 40 [size =\"38046720\"]\n  21 -> 45 [size =\"38046720\"]\n  21 -> 47 [size =\"38046720\"]\n  22 [size=\"170502827\", alpha=\"0.19\", expect_size=\"51150848\"] \n  22 -> 34 [size =\"51150848\"]\n  22 -> 36 [size =\"51150848\"]\n  22 -> 42 [size =\"51150848\"]\n  22 -> 44 [size =\"51150848\"]\n  22 -> 45 [size =\"51150848\"]\n  23 [size=\"173421227\", alpha=\"0.16\", expect_size=\"52026368\"] \n  23 -> 34 [size =\"52026368\"]\n  23 -> 35 [size =\"52026368\"]\n  23 -> 37 [size =\"52026368\"]\n  23 -> 40 [size =\"52026368\"]\n  23 -> 41 [size =\"52026368\"]\n  23 -> 43 [size =\"52026368\"]\n  23 -> 46 [size =\"52026368\"]\n  24 [size=\"43267413\", alpha=\"0.04\", expect_size=\"12980224\"] \n  24 -> 33 [size =\"12980224\"]\n  24 -> 34 [size =\"12980224\"]\n  24 -> 46 [size =\"12980224\"]\n  25 [size=\"118753280\", alpha=\"0.07\", expect_size=\"35625984\"] \n  25 -> 32 [size =\"35625984\"]\n  25 -> 34 [size =\"35625984\"]\n  25 -> 37 [size =\"35625984\"]\n  26 [size=\"102512640\", alpha=\"0.00\", expect_size=\"30753792\"] \n  26 -> 33 [size =\"30753792\"]\n  26 -> 34 [size =\"30753792\"]\n  26 -> 35 [size =\"30753792\"]\n  26 -> 45 [size =\"30753792\"]\n  27 [size=\"154641067\", alpha=\"0.14\", expect_size=\"46392320\"] \n  27 -> 34 [size =\"46392320\"]\n  27 -> 34 [size =\"46392320\"]\n  27 -> 37 [size =\"46392320\"]\n  27 -> 40 [size =\"46392320\"]\n  27 -> 42 [size =\"46392320\"]\n  27 -> 44 [size =\"46392320\"]\n  27 -> 45 [size =\"46392320\"]\n  27 -> 46 [size =\"46392320\"]\n  28 [size=\"60108800\", alpha=\"0.20\", expect_size=\"18032640\"] \n  28 -> 32 [size =\"18032640\"]\n  28 -> 35 [size =\"18032640\"]\n  28 -> 37 [size =\"18032640\"]\n  28 -> 40 [size =\"18032640\"]\n  28 -> 42 [size =\"18032640\"]\n  28 -> 45 [size =\"18032640\"]\n  28 -> 45 [size =\"18032640\"]\n  28 -> 46 [size =\"18032640\"]\n  29 [size=\"69167787\", alpha=\"0.09\", expect_size=\"20750336\"] \n  29 -> 33 [size =\"20750336\"]\n  29 -> 36 [size =\"20750336\"]\n  29 -> 37 [size =\"20750336\"]\n  29 -> 42 [size =\"20750336\"]\n  29 -> 44 [size =\"20750336\"]\n  29 -> 45 [size =\"20750336\"]\n  30 [size=\"166843733\", alpha=\"0.12\", expect_size=\"50053120\"] \n  30 -> 36 [size =\"50053120\"]\n  30 -> 36 [size =\"50053120\"]\n  30 -> 44 [size =\"50053120\"]\n  31 [size=\"35000320\", alpha=\"0.05\", expect_size=\"10500096\"] \n  31 -> 35 [size =\"10500096\"]\n  31 -> 36 [size =\"10500096\"]\n  32 [size=\"47435093\", alpha=\"0.11\", expect_size=\"14230528\"] \n  32 -> 48 [size =\"14230528\"]\n  33 [size=\"36010667\", alpha=\"0.16\", expect_size=\"10803200\"] \n  33 -> 48 [size =\"10803200\"]\n  34 [size=\"162798933\", alpha=\"0.09\", expect_size=\"48839680\"] \n  34 -> 48 [size =\"48839680\"]\n  34 -> 49 [size =\"48839680\"]\n  35 [size=\"34222080\", alpha=\"0.05\", expect_size=\"10266624\"] \n  36 [size=\"87497387\", alpha=\"0.13\", expect_size=\"26249216\"] \n  36 -> 48 [size =\"26249216\"]\n  37 [size=\"88364373\", alpha=\"0.16\", expect_size=\"26509312\"] \n  37 -> 48 [size =\"26509312\"]\n  37 -> 50 [size =\"26509312\"]\n  38 [size=\"40277333\", alpha=\"0.06\", expect_size=\"12083200\"] \n  38 -> 50 [size =\"12083200\"]\n  39 [size=\"38570667\", alpha=\"0.01\", expect_size=\"11571200\"] \n  40 [size=\"106714453\", alpha=\"0.16\", expect_size=\"32014336\"] \n  40 -> 48 [size =\"32014336\"]\n  41 [size=\"45803520\", alpha=\"0.04\", expect_size=\"13741056\"] \n  42 [size=\"84527787\", alpha=\"0.12\", expect_size=\"25358336\"] \n  42 -> 48 [size =\"25358336\"]\n  42 -> 50 [size =\"25358336\"]\n  43 [size=\"172018347\", alpha=\"0.20\", expect_size=\"51605504\"] \n  43 -> 48 [size =\"51605504\"]\n  44 [size=\"138762240\", alpha=\"0.11\", expect_size=\"41628672\"] \n  45 [size=\"51906560\", alpha=\"0.14\", expect_size=\"15571968\"] \n  45 -> 48 [size =\"15571968\"]\n  46 [size=\"87958187\", alpha=\"0.09\", expect_size=\"26387456\"] \n  47 [size=\"35508907\", alpha=\"0.01\", expect_size=\"10652672\"] \n  47 -> 48 [size =\"10652672\"]\n  47 -> 50 [size =\"10652672\"]\n  48 [size=\"162536107\", alpha=\"0.19\", expect_size=\"48760832\"] \n  49 [size=\"54715733\", alpha=\"0.03\", expect_size=\"16414720\"] \n  50 [size=\"65085440\", alpha=\"0.06\", expect_size=\"19525632\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.816.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"114997760\", alpha=\"0.10\", expect_size=\"45999104\"] \n  1 -> 20 [size =\"45999104\"]\n  1 -> 21 [size =\"45999104\"]\n  1 -> 26 [size =\"45999104\"]\n  1 -> 28 [size =\"45999104\"]\n  1 -> 33 [size =\"45999104\"]\n  2 [size=\"66255360\", alpha=\"0.17\", expect_size=\"26502144\"] \n  2 -> 20 [size =\"26502144\"]\n  2 -> 21 [size =\"26502144\"]\n  2 -> 22 [size =\"26502144\"]\n  2 -> 28 [size =\"26502144\"]\n  2 -> 30 [size =\"26502144\"]\n  2 -> 33 [size =\"26502144\"]\n  2 -> 37 [size =\"26502144\"]\n  3 [size=\"121927680\", alpha=\"0.20\", expect_size=\"48771072\"] \n  3 -> 22 [size =\"48771072\"]\n  3 -> 23 [size =\"48771072\"]\n  3 -> 27 [size =\"48771072\"]\n  3 -> 29 [size =\"48771072\"]\n  3 -> 37 [size =\"48771072\"]\n  4 [size=\"109381120\", alpha=\"0.06\", expect_size=\"43752448\"] \n  4 -> 20 [size =\"43752448\"]\n  4 -> 30 [size =\"43752448\"]\n  4 -> 31 [size =\"43752448\"]\n  4 -> 33 [size =\"43752448\"]\n  4 -> 37 [size =\"43752448\"]\n  5 [size=\"27937280\", alpha=\"0.09\", expect_size=\"11174912\"] \n  5 -> 21 [size =\"11174912\"]\n  5 -> 26 [size =\"11174912\"]\n  5 -> 32 [size =\"11174912\"]\n  5 -> 34 [size =\"11174912\"]\n  6 [size=\"123235840\", alpha=\"0.12\", expect_size=\"49294336\"] \n  6 -> 20 [size =\"49294336\"]\n  6 -> 21 [size =\"49294336\"]\n  6 -> 23 [size =\"49294336\"]\n  6 -> 27 [size =\"49294336\"]\n  6 -> 31 [size =\"49294336\"]\n  6 -> 37 [size =\"49294336\"]\n  7 [size=\"33515520\", alpha=\"0.07\", expect_size=\"13406208\"] \n  7 -> 21 [size =\"13406208\"]\n  7 -> 21 [size =\"13406208\"]\n  7 -> 22 [size =\"13406208\"]\n  7 -> 25 [size =\"13406208\"]\n  7 -> 27 [size =\"13406208\"]\n  7 -> 28 [size =\"13406208\"]\n  7 -> 30 [size =\"13406208\"]\n  8 [size=\"29780480\", alpha=\"0.12\", expect_size=\"11912192\"] \n  8 -> 21 [size =\"11912192\"]\n  8 -> 26 [size =\"11912192\"]\n  8 -> 27 [size =\"11912192\"]\n  8 -> 28 [size =\"11912192\"]\n  8 -> 32 [size =\"11912192\"]\n  8 -> 37 [size =\"11912192\"]\n  9 [size=\"47818240\", alpha=\"0.04\", expect_size=\"19127296\"] \n  9 -> 28 [size =\"19127296\"]\n  9 -> 30 [size =\"19127296\"]\n  9 -> 32 [size =\"19127296\"]\n  9 -> 33 [size =\"19127296\"]\n  10 [size=\"70750720\", alpha=\"0.00\", expect_size=\"28300288\"] \n  10 -> 22 [size =\"28300288\"]\n  10 -> 26 [size =\"28300288\"]\n  10 -> 28 [size =\"28300288\"]\n  10 -> 30 [size =\"28300288\"]\n  10 -> 31 [size =\"28300288\"]\n  10 -> 35 [size =\"28300288\"]\n  11 [size=\"24488960\", alpha=\"0.15\", expect_size=\"9795584\"] \n  11 -> 20 [size =\"9795584\"]\n  11 -> 26 [size =\"9795584\"]\n  11 -> 27 [size =\"9795584\"]\n  11 -> 28 [size =\"9795584\"]\n  11 -> 29 [size =\"9795584\"]\n  11 -> 35 [size =\"9795584\"]\n  12 [size=\"83804160\", alpha=\"0.06\", expect_size=\"33521664\"] \n  12 -> 23 [size =\"33521664\"]\n  12 -> 27 [size =\"33521664\"]\n  12 -> 29 [size =\"33521664\"]\n  12 -> 35 [size =\"33521664\"]\n  13 [size=\"67315200\", alpha=\"0.07\", expect_size=\"26926080\"] \n  13 -> 30 [size =\"26926080\"]\n  13 -> 32 [size =\"26926080\"]\n  13 -> 35 [size =\"26926080\"]\n  13 -> 37 [size =\"26926080\"]\n  14 [size=\"65853440\", alpha=\"0.09\", expect_size=\"26341376\"] \n  14 -> 22 [size =\"26341376\"]\n  14 -> 23 [size =\"26341376\"]\n  14 -> 26 [size =\"26341376\"]\n  14 -> 28 [size =\"26341376\"]\n  14 -> 32 [size =\"26341376\"]\n  15 [size=\"101509120\", alpha=\"0.12\", expect_size=\"40603648\"] \n  15 -> 21 [size =\"40603648\"]\n  15 -> 22 [size =\"40603648\"]\n  15 -> 32 [size =\"40603648\"]\n  15 -> 35 [size =\"40603648\"]\n  16 [size=\"37690880\", alpha=\"0.09\", expect_size=\"15076352\"] \n  16 -> 22 [size =\"15076352\"]\n  16 -> 26 [size =\"15076352\"]\n  16 -> 35 [size =\"15076352\"]\n  17 [size=\"107927040\", alpha=\"0.18\", expect_size=\"43170816\"] \n  17 -> 25 [size =\"43170816\"]\n  17 -> 26 [size =\"43170816\"]\n  17 -> 30 [size =\"43170816\"]\n  17 -> 36 [size =\"43170816\"]\n  17 -> 38 [size =\"43170816\"]\n  18 [size=\"28710400\", alpha=\"0.20\", expect_size=\"11484160\"] \n  18 -> 20 [size =\"11484160\"]\n  18 -> 22 [size =\"11484160\"]\n  18 -> 24 [size =\"11484160\"]\n  18 -> 25 [size =\"11484160\"]\n  18 -> 26 [size =\"11484160\"]\n  18 -> 28 [size =\"11484160\"]\n  18 -> 29 [size =\"11484160\"]\n  18 -> 32 [size =\"11484160\"]\n  18 -> 37 [size =\"11484160\"]\n  19 [size=\"99491840\", alpha=\"0.17\", expect_size=\"39796736\"] \n  19 -> 20 [size =\"39796736\"]\n  19 -> 21 [size =\"39796736\"]\n  19 -> 26 [size =\"39796736\"]\n  19 -> 28 [size =\"39796736\"]\n  19 -> 30 [size =\"39796736\"]\n  20 [size=\"125035520\", alpha=\"0.10\", expect_size=\"50014208\"] \n  20 -> 50 [size =\"50014208\"]\n  21 [size=\"127902720\", alpha=\"0.00\", expect_size=\"51161088\"] \n  21 -> 48 [size =\"51161088\"]\n  21 -> 50 [size =\"51161088\"]\n  22 [size=\"101217280\", alpha=\"0.20\", expect_size=\"40486912\"] \n  22 -> 44 [size =\"40486912\"]\n  22 -> 48 [size =\"40486912\"]\n  23 [size=\"18718720\", alpha=\"0.18\", expect_size=\"7487488\"] \n  23 -> 46 [size =\"7487488\"]\n  24 [size=\"60805120\", alpha=\"0.12\", expect_size=\"24322048\"] \n  24 -> 50 [size =\"24322048\"]\n  25 [size=\"115776000\", alpha=\"0.09\", expect_size=\"46310400\"] \n  25 -> 44 [size =\"46310400\"]\n  25 -> 47 [size =\"46310400\"]\n  25 -> 48 [size =\"46310400\"]\n  26 [size=\"70763520\", alpha=\"0.04\", expect_size=\"28305408\"] \n  26 -> 43 [size =\"28305408\"]\n  26 -> 48 [size =\"28305408\"]\n  26 -> 50 [size =\"28305408\"]\n  27 [size=\"125498880\", alpha=\"0.03\", expect_size=\"50199552\"] \n  27 -> 39 [size =\"50199552\"]\n  27 -> 41 [size =\"50199552\"]\n  27 -> 47 [size =\"50199552\"]\n  27 -> 50 [size =\"50199552\"]\n  28 [size=\"114301440\", alpha=\"0.05\", expect_size=\"45720576\"] \n  28 -> 46 [size =\"45720576\"]\n  29 [size=\"112652800\", alpha=\"0.13\", expect_size=\"45061120\"] \n  29 -> 42 [size =\"45061120\"]\n  29 -> 46 [size =\"45061120\"]\n  30 [size=\"93749760\", alpha=\"0.10\", expect_size=\"37499904\"] \n  30 -> 46 [size =\"37499904\"]\n  30 -> 47 [size =\"37499904\"]\n  30 -> 48 [size =\"37499904\"]\n  31 [size=\"34813440\", alpha=\"0.09\", expect_size=\"13925376\"] \n  31 -> 45 [size =\"13925376\"]\n  31 -> 47 [size =\"13925376\"]\n  32 [size=\"37734400\", alpha=\"0.01\", expect_size=\"15093760\"] \n  32 -> 45 [size =\"15093760\"]\n  32 -> 47 [size =\"15093760\"]\n  32 -> 48 [size =\"15093760\"]\n  33 [size=\"37696000\", alpha=\"0.01\", expect_size=\"15078400\"] \n  33 -> 45 [size =\"15078400\"]\n  33 -> 48 [size =\"15078400\"]\n  33 -> 48 [size =\"15078400\"]\n  34 [size=\"25553920\", alpha=\"0.11\", expect_size=\"10221568\"] \n  34 -> 43 [size =\"10221568\"]\n  34 -> 46 [size =\"10221568\"]\n  35 [size=\"97584640\", alpha=\"0.15\", expect_size=\"39033856\"] \n  35 -> 46 [size =\"39033856\"]\n  35 -> 50 [size =\"39033856\"]\n  36 [size=\"32691200\", alpha=\"0.04\", expect_size=\"13076480\"] \n  36 -> 40 [size =\"13076480\"]\n  37 [size=\"58967040\", alpha=\"0.08\", expect_size=\"23586816\"] \n  37 -> 48 [size =\"23586816\"]\n  37 -> 50 [size =\"23586816\"]\n  38 [size=\"78858240\", alpha=\"0.16\", expect_size=\"31543296\"] \n  38 -> 44 [size =\"31543296\"]\n  38 -> 46 [size =\"31543296\"]\n  38 -> 49 [size =\"31543296\"]\n  39 [size=\"109038080\", alpha=\"0.18\", expect_size=\"43615232\"] \n  40 [size=\"66252800\", alpha=\"0.19\", expect_size=\"26501120\"] \n  41 [size=\"126118400\", alpha=\"0.19\", expect_size=\"50447360\"] \n  42 [size=\"64081920\", alpha=\"0.15\", expect_size=\"25632768\"] \n  43 [size=\"68807680\", alpha=\"0.11\", expect_size=\"27523072\"] \n  44 [size=\"76541440\", alpha=\"0.15\", expect_size=\"30616576\"] \n  45 [size=\"22067200\", alpha=\"0.17\", expect_size=\"8826880\"] \n  46 [size=\"111749120\", alpha=\"0.09\", expect_size=\"44699648\"] \n  47 [size=\"16279040\", alpha=\"0.19\", expect_size=\"6511616\"] \n  48 [size=\"66408960\", alpha=\"0.07\", expect_size=\"26563584\"] \n  49 [size=\"41812480\", alpha=\"0.12\", expect_size=\"16724992\"] \n  50 [size=\"28874240\", alpha=\"0.10\", expect_size=\"11549696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.817.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35413333\", alpha=\"0.03\", expect_size=\"10624000\"] \n  1 -> 13 [size =\"10624000\"]\n  1 -> 15 [size =\"10624000\"]\n  1 -> 16 [size =\"10624000\"]\n  1 -> 19 [size =\"10624000\"]\n  1 -> 23 [size =\"10624000\"]\n  1 -> 26 [size =\"10624000\"]\n  2 [size=\"113865387\", alpha=\"0.02\", expect_size=\"34159616\"] \n  2 -> 11 [size =\"34159616\"]\n  2 -> 12 [size =\"34159616\"]\n  2 -> 15 [size =\"34159616\"]\n  2 -> 18 [size =\"34159616\"]\n  2 -> 20 [size =\"34159616\"]\n  2 -> 23 [size =\"34159616\"]\n  2 -> 24 [size =\"34159616\"]\n  2 -> 25 [size =\"34159616\"]\n  2 -> 26 [size =\"34159616\"]\n  3 [size=\"28532053\", alpha=\"0.02\", expect_size=\"8559616\"] \n  3 -> 11 [size =\"8559616\"]\n  3 -> 13 [size =\"8559616\"]\n  3 -> 14 [size =\"8559616\"]\n  3 -> 16 [size =\"8559616\"]\n  3 -> 18 [size =\"8559616\"]\n  3 -> 19 [size =\"8559616\"]\n  3 -> 23 [size =\"8559616\"]\n  3 -> 26 [size =\"8559616\"]\n  4 [size=\"50063360\", alpha=\"0.01\", expect_size=\"15019008\"] \n  4 -> 16 [size =\"15019008\"]\n  4 -> 17 [size =\"15019008\"]\n  4 -> 18 [size =\"15019008\"]\n  4 -> 19 [size =\"15019008\"]\n  4 -> 22 [size =\"15019008\"]\n  4 -> 24 [size =\"15019008\"]\n  4 -> 25 [size =\"15019008\"]\n  5 [size=\"18906453\", alpha=\"0.06\", expect_size=\"5671936\"] \n  5 -> 13 [size =\"5671936\"]\n  5 -> 16 [size =\"5671936\"]\n  5 -> 18 [size =\"5671936\"]\n  5 -> 22 [size =\"5671936\"]\n  5 -> 23 [size =\"5671936\"]\n  5 -> 25 [size =\"5671936\"]\n  5 -> 25 [size =\"5671936\"]\n  5 -> 26 [size =\"5671936\"]\n  6 [size=\"42874880\", alpha=\"0.05\", expect_size=\"12862464\"] \n  6 -> 13 [size =\"12862464\"]\n  6 -> 16 [size =\"12862464\"]\n  6 -> 22 [size =\"12862464\"]\n  6 -> 25 [size =\"12862464\"]\n  6 -> 26 [size =\"12862464\"]\n  7 [size=\"70557013\", alpha=\"0.02\", expect_size=\"21167104\"] \n  7 -> 13 [size =\"21167104\"]\n  7 -> 14 [size =\"21167104\"]\n  7 -> 15 [size =\"21167104\"]\n  7 -> 16 [size =\"21167104\"]\n  7 -> 17 [size =\"21167104\"]\n  7 -> 18 [size =\"21167104\"]\n  7 -> 21 [size =\"21167104\"]\n  7 -> 22 [size =\"21167104\"]\n  7 -> 24 [size =\"21167104\"]\n  7 -> 25 [size =\"21167104\"]\n  7 -> 26 [size =\"21167104\"]\n  8 [size=\"100601173\", alpha=\"0.13\", expect_size=\"30180352\"] \n  8 -> 13 [size =\"30180352\"]\n  8 -> 15 [size =\"30180352\"]\n  8 -> 16 [size =\"30180352\"]\n  8 -> 18 [size =\"30180352\"]\n  8 -> 19 [size =\"30180352\"]\n  8 -> 21 [size =\"30180352\"]\n  8 -> 22 [size =\"30180352\"]\n  8 -> 23 [size =\"30180352\"]\n  8 -> 24 [size =\"30180352\"]\n  8 -> 26 [size =\"30180352\"]\n  9 [size=\"100126720\", alpha=\"0.04\", expect_size=\"30038016\"] \n  9 -> 13 [size =\"30038016\"]\n  9 -> 16 [size =\"30038016\"]\n  9 -> 16 [size =\"30038016\"]\n  9 -> 18 [size =\"30038016\"]\n  9 -> 19 [size =\"30038016\"]\n  9 -> 23 [size =\"30038016\"]\n  9 -> 25 [size =\"30038016\"]\n  9 -> 26 [size =\"30038016\"]\n  10 [size=\"103396693\", alpha=\"0.18\", expect_size=\"31019008\"] \n  10 -> 13 [size =\"31019008\"]\n  10 -> 19 [size =\"31019008\"]\n  10 -> 23 [size =\"31019008\"]\n  10 -> 26 [size =\"31019008\"]\n  11 [size=\"24818347\", alpha=\"0.17\", expect_size=\"7445504\"] \n  11 -> 32 [size =\"7445504\"]\n  11 -> 35 [size =\"7445504\"]\n  11 -> 37 [size =\"7445504\"]\n  11 -> 41 [size =\"7445504\"]\n  11 -> 42 [size =\"7445504\"]\n  12 [size=\"51275093\", alpha=\"0.16\", expect_size=\"15382528\"] \n  12 -> 28 [size =\"15382528\"]\n  12 -> 29 [size =\"15382528\"]\n  12 -> 30 [size =\"15382528\"]\n  12 -> 38 [size =\"15382528\"]\n  12 -> 40 [size =\"15382528\"]\n  12 -> 42 [size =\"15382528\"]\n  13 [size=\"64873813\", alpha=\"0.02\", expect_size=\"19462144\"] \n  13 -> 28 [size =\"19462144\"]\n  13 -> 29 [size =\"19462144\"]\n  13 -> 30 [size =\"19462144\"]\n  13 -> 32 [size =\"19462144\"]\n  13 -> 36 [size =\"19462144\"]\n  13 -> 37 [size =\"19462144\"]\n  13 -> 39 [size =\"19462144\"]\n  13 -> 40 [size =\"19462144\"]\n  14 [size=\"82507093\", alpha=\"0.18\", expect_size=\"24752128\"] \n  14 -> 28 [size =\"24752128\"]\n  14 -> 29 [size =\"24752128\"]\n  14 -> 33 [size =\"24752128\"]\n  14 -> 36 [size =\"24752128\"]\n  14 -> 36 [size =\"24752128\"]\n  14 -> 37 [size =\"24752128\"]\n  15 [size=\"88302933\", alpha=\"0.17\", expect_size=\"26490880\"] \n  15 -> 27 [size =\"26490880\"]\n  15 -> 29 [size =\"26490880\"]\n  15 -> 30 [size =\"26490880\"]\n  15 -> 31 [size =\"26490880\"]\n  15 -> 32 [size =\"26490880\"]\n  15 -> 36 [size =\"26490880\"]\n  15 -> 38 [size =\"26490880\"]\n  16 [size=\"137079467\", alpha=\"0.12\", expect_size=\"41123840\"] \n  16 -> 27 [size =\"41123840\"]\n  16 -> 28 [size =\"41123840\"]\n  16 -> 29 [size =\"41123840\"]\n  16 -> 30 [size =\"41123840\"]\n  16 -> 31 [size =\"41123840\"]\n  16 -> 32 [size =\"41123840\"]\n  16 -> 33 [size =\"41123840\"]\n  16 -> 35 [size =\"41123840\"]\n  16 -> 36 [size =\"41123840\"]\n  16 -> 37 [size =\"41123840\"]\n  16 -> 38 [size =\"41123840\"]\n  16 -> 40 [size =\"41123840\"]\n  17 [size=\"22173013\", alpha=\"0.03\", expect_size=\"6651904\"] \n  17 -> 29 [size =\"6651904\"]\n  17 -> 32 [size =\"6651904\"]\n  17 -> 34 [size =\"6651904\"]\n  17 -> 35 [size =\"6651904\"]\n  17 -> 36 [size =\"6651904\"]\n  17 -> 37 [size =\"6651904\"]\n  17 -> 40 [size =\"6651904\"]\n  18 [size=\"35679573\", alpha=\"0.13\", expect_size=\"10703872\"] \n  18 -> 29 [size =\"10703872\"]\n  18 -> 35 [size =\"10703872\"]\n  18 -> 36 [size =\"10703872\"]\n  18 -> 37 [size =\"10703872\"]\n  18 -> 40 [size =\"10703872\"]\n  18 -> 42 [size =\"10703872\"]\n  19 [size=\"140663467\", alpha=\"0.20\", expect_size=\"42199040\"] \n  19 -> 28 [size =\"42199040\"]\n  19 -> 29 [size =\"42199040\"]\n  19 -> 32 [size =\"42199040\"]\n  19 -> 33 [size =\"42199040\"]\n  19 -> 34 [size =\"42199040\"]\n  19 -> 36 [size =\"42199040\"]\n  19 -> 37 [size =\"42199040\"]\n  19 -> 39 [size =\"42199040\"]\n  20 [size=\"171984213\", alpha=\"0.19\", expect_size=\"51595264\"] \n  20 -> 29 [size =\"51595264\"]\n  20 -> 30 [size =\"51595264\"]\n  20 -> 31 [size =\"51595264\"]\n  20 -> 33 [size =\"51595264\"]\n  20 -> 35 [size =\"51595264\"]\n  20 -> 36 [size =\"51595264\"]\n  20 -> 37 [size =\"51595264\"]\n  20 -> 38 [size =\"51595264\"]\n  20 -> 39 [size =\"51595264\"]\n  20 -> 40 [size =\"51595264\"]\n  21 [size=\"157463893\", alpha=\"0.00\", expect_size=\"47239168\"] \n  21 -> 31 [size =\"47239168\"]\n  21 -> 33 [size =\"47239168\"]\n  21 -> 35 [size =\"47239168\"]\n  21 -> 36 [size =\"47239168\"]\n  21 -> 37 [size =\"47239168\"]\n  21 -> 39 [size =\"47239168\"]\n  21 -> 40 [size =\"47239168\"]\n  22 [size=\"133358933\", alpha=\"0.14\", expect_size=\"40007680\"] \n  22 -> 29 [size =\"40007680\"]\n  22 -> 32 [size =\"40007680\"]\n  22 -> 33 [size =\"40007680\"]\n  22 -> 35 [size =\"40007680\"]\n  22 -> 36 [size =\"40007680\"]\n  22 -> 37 [size =\"40007680\"]\n  22 -> 38 [size =\"40007680\"]\n  22 -> 40 [size =\"40007680\"]\n  22 -> 42 [size =\"40007680\"]\n  23 [size=\"103720960\", alpha=\"0.09\", expect_size=\"31116288\"] \n  23 -> 27 [size =\"31116288\"]\n  23 -> 28 [size =\"31116288\"]\n  23 -> 29 [size =\"31116288\"]\n  23 -> 31 [size =\"31116288\"]\n  23 -> 32 [size =\"31116288\"]\n  23 -> 33 [size =\"31116288\"]\n  23 -> 34 [size =\"31116288\"]\n  23 -> 35 [size =\"31116288\"]\n  23 -> 36 [size =\"31116288\"]\n  23 -> 37 [size =\"31116288\"]\n  23 -> 38 [size =\"31116288\"]\n  23 -> 40 [size =\"31116288\"]\n  24 [size=\"121890133\", alpha=\"0.08\", expect_size=\"36567040\"] \n  24 -> 28 [size =\"36567040\"]\n  24 -> 29 [size =\"36567040\"]\n  24 -> 31 [size =\"36567040\"]\n  24 -> 32 [size =\"36567040\"]\n  24 -> 32 [size =\"36567040\"]\n  24 -> 33 [size =\"36567040\"]\n  24 -> 35 [size =\"36567040\"]\n  24 -> 37 [size =\"36567040\"]\n  24 -> 38 [size =\"36567040\"]\n  24 -> 39 [size =\"36567040\"]\n  24 -> 40 [size =\"36567040\"]\n  24 -> 40 [size =\"36567040\"]\n  25 [size=\"104939520\", alpha=\"0.08\", expect_size=\"31481856\"] \n  25 -> 27 [size =\"31481856\"]\n  25 -> 28 [size =\"31481856\"]\n  25 -> 31 [size =\"31481856\"]\n  25 -> 32 [size =\"31481856\"]\n  25 -> 35 [size =\"31481856\"]\n  25 -> 36 [size =\"31481856\"]\n  25 -> 37 [size =\"31481856\"]\n  25 -> 37 [size =\"31481856\"]\n  25 -> 38 [size =\"31481856\"]\n  25 -> 40 [size =\"31481856\"]\n  25 -> 42 [size =\"31481856\"]\n  26 [size=\"84421973\", alpha=\"0.10\", expect_size=\"25326592\"] \n  26 -> 29 [size =\"25326592\"]\n  26 -> 31 [size =\"25326592\"]\n  26 -> 32 [size =\"25326592\"]\n  26 -> 32 [size =\"25326592\"]\n  26 -> 37 [size =\"25326592\"]\n  26 -> 38 [size =\"25326592\"]\n  26 -> 39 [size =\"25326592\"]\n  26 -> 40 [size =\"25326592\"]\n  27 [size=\"21152427\", alpha=\"0.20\", expect_size=\"6345728\"] \n  27 -> 43 [size =\"6345728\"]\n  27 -> 48 [size =\"6345728\"]\n  27 -> 49 [size =\"6345728\"]\n  28 [size=\"45469013\", alpha=\"0.20\", expect_size=\"13640704\"] \n  28 -> 48 [size =\"13640704\"]\n  28 -> 49 [size =\"13640704\"]\n  29 [size=\"148968107\", alpha=\"0.10\", expect_size=\"44690432\"] \n  29 -> 43 [size =\"44690432\"]\n  29 -> 44 [size =\"44690432\"]\n  29 -> 47 [size =\"44690432\"]\n  29 -> 48 [size =\"44690432\"]\n  29 -> 50 [size =\"44690432\"]\n  30 [size=\"146380800\", alpha=\"0.11\", expect_size=\"43914240\"] \n  30 -> 43 [size =\"43914240\"]\n  30 -> 44 [size =\"43914240\"]\n  30 -> 48 [size =\"43914240\"]\n  30 -> 48 [size =\"43914240\"]\n  31 [size=\"136936107\", alpha=\"0.14\", expect_size=\"41080832\"] \n  31 -> 43 [size =\"41080832\"]\n  31 -> 44 [size =\"41080832\"]\n  31 -> 47 [size =\"41080832\"]\n  31 -> 48 [size =\"41080832\"]\n  31 -> 49 [size =\"41080832\"]\n  32 [size=\"138571093\", alpha=\"0.00\", expect_size=\"41571328\"] \n  32 -> 43 [size =\"41571328\"]\n  32 -> 46 [size =\"41571328\"]\n  32 -> 48 [size =\"41571328\"]\n  32 -> 49 [size =\"41571328\"]\n  32 -> 50 [size =\"41571328\"]\n  33 [size=\"90391893\", alpha=\"0.13\", expect_size=\"27117568\"] \n  33 -> 43 [size =\"27117568\"]\n  33 -> 44 [size =\"27117568\"]\n  33 -> 46 [size =\"27117568\"]\n  33 -> 47 [size =\"27117568\"]\n  33 -> 48 [size =\"27117568\"]\n  34 [size=\"160744107\", alpha=\"0.14\", expect_size=\"48223232\"] \n  34 -> 43 [size =\"48223232\"]\n  34 -> 44 [size =\"48223232\"]\n  34 -> 48 [size =\"48223232\"]\n  35 [size=\"67642027\", alpha=\"0.04\", expect_size=\"20292608\"] \n  35 -> 43 [size =\"20292608\"]\n  35 -> 44 [size =\"20292608\"]\n  35 -> 45 [size =\"20292608\"]\n  35 -> 48 [size =\"20292608\"]\n  35 -> 49 [size =\"20292608\"]\n  35 -> 50 [size =\"20292608\"]\n  36 [size=\"127092053\", alpha=\"0.09\", expect_size=\"38127616\"] \n  36 -> 43 [size =\"38127616\"]\n  36 -> 44 [size =\"38127616\"]\n  36 -> 45 [size =\"38127616\"]\n  36 -> 46 [size =\"38127616\"]\n  36 -> 47 [size =\"38127616\"]\n  36 -> 48 [size =\"38127616\"]\n  37 [size=\"49923413\", alpha=\"0.15\", expect_size=\"14977024\"] \n  37 -> 43 [size =\"14977024\"]\n  37 -> 44 [size =\"14977024\"]\n  37 -> 45 [size =\"14977024\"]\n  37 -> 48 [size =\"14977024\"]\n  38 [size=\"46496427\", alpha=\"0.03\", expect_size=\"13948928\"] \n  38 -> 43 [size =\"13948928\"]\n  38 -> 45 [size =\"13948928\"]\n  38 -> 48 [size =\"13948928\"]\n  38 -> 48 [size =\"13948928\"]\n  38 -> 50 [size =\"13948928\"]\n  39 [size=\"42663253\", alpha=\"0.06\", expect_size=\"12798976\"] \n  39 -> 43 [size =\"12798976\"]\n  39 -> 44 [size =\"12798976\"]\n  39 -> 49 [size =\"12798976\"]\n  39 -> 50 [size =\"12798976\"]\n  40 [size=\"121067520\", alpha=\"0.10\", expect_size=\"36320256\"] \n  40 -> 43 [size =\"36320256\"]\n  40 -> 44 [size =\"36320256\"]\n  40 -> 46 [size =\"36320256\"]\n  40 -> 49 [size =\"36320256\"]\n  41 [size=\"53063680\", alpha=\"0.11\", expect_size=\"15919104\"] \n  41 -> 43 [size =\"15919104\"]\n  41 -> 44 [size =\"15919104\"]\n  41 -> 47 [size =\"15919104\"]\n  41 -> 48 [size =\"15919104\"]\n  41 -> 49 [size =\"15919104\"]\n  41 -> 50 [size =\"15919104\"]\n  42 [size=\"160563200\", alpha=\"0.07\", expect_size=\"48168960\"] \n  42 -> 46 [size =\"48168960\"]\n  42 -> 49 [size =\"48168960\"]\n  43 [size=\"162798933\", alpha=\"0.14\", expect_size=\"48839680\"] \n  44 [size=\"107171840\", alpha=\"0.14\", expect_size=\"32151552\"] \n  45 [size=\"58705920\", alpha=\"0.05\", expect_size=\"17611776\"] \n  46 [size=\"88238080\", alpha=\"0.05\", expect_size=\"26471424\"] \n  47 [size=\"158085120\", alpha=\"0.05\", expect_size=\"47425536\"] \n  48 [size=\"115660800\", alpha=\"0.09\", expect_size=\"34698240\"] \n  49 [size=\"136451413\", alpha=\"0.09\", expect_size=\"40935424\"] \n  50 [size=\"29081600\", alpha=\"0.06\", expect_size=\"8724480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.818.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69982720\", alpha=\"0.18\", expect_size=\"27993088\"] \n  1 -> 18 [size =\"27993088\"]\n  1 -> 22 [size =\"27993088\"]\n  2 [size=\"37032960\", alpha=\"0.05\", expect_size=\"14813184\"] \n  2 -> 15 [size =\"14813184\"]\n  2 -> 16 [size =\"14813184\"]\n  2 -> 19 [size =\"14813184\"]\n  2 -> 22 [size =\"14813184\"]\n  3 [size=\"23608320\", alpha=\"0.08\", expect_size=\"9443328\"] \n  3 -> 14 [size =\"9443328\"]\n  3 -> 15 [size =\"9443328\"]\n  3 -> 16 [size =\"9443328\"]\n  3 -> 18 [size =\"9443328\"]\n  3 -> 19 [size =\"9443328\"]\n  3 -> 21 [size =\"9443328\"]\n  3 -> 24 [size =\"9443328\"]\n  4 [size=\"108697600\", alpha=\"0.09\", expect_size=\"43479040\"] \n  4 -> 15 [size =\"43479040\"]\n  4 -> 16 [size =\"43479040\"]\n  4 -> 18 [size =\"43479040\"]\n  4 -> 23 [size =\"43479040\"]\n  5 [size=\"115932160\", alpha=\"0.14\", expect_size=\"46372864\"] \n  5 -> 13 [size =\"46372864\"]\n  5 -> 15 [size =\"46372864\"]\n  5 -> 16 [size =\"46372864\"]\n  5 -> 18 [size =\"46372864\"]\n  5 -> 22 [size =\"46372864\"]\n  5 -> 23 [size =\"46372864\"]\n  5 -> 26 [size =\"46372864\"]\n  6 [size=\"129210880\", alpha=\"0.18\", expect_size=\"51684352\"] \n  6 -> 15 [size =\"51684352\"]\n  6 -> 16 [size =\"51684352\"]\n  6 -> 17 [size =\"51684352\"]\n  6 -> 18 [size =\"51684352\"]\n  6 -> 23 [size =\"51684352\"]\n  6 -> 25 [size =\"51684352\"]\n  7 [size=\"100618240\", alpha=\"0.11\", expect_size=\"40247296\"] \n  7 -> 14 [size =\"40247296\"]\n  7 -> 16 [size =\"40247296\"]\n  7 -> 17 [size =\"40247296\"]\n  7 -> 19 [size =\"40247296\"]\n  7 -> 23 [size =\"40247296\"]\n  8 [size=\"70371840\", alpha=\"0.01\", expect_size=\"28148736\"] \n  8 -> 20 [size =\"28148736\"]\n  8 -> 25 [size =\"28148736\"]\n  9 [size=\"37685760\", alpha=\"0.09\", expect_size=\"15074304\"] \n  9 -> 15 [size =\"15074304\"]\n  9 -> 17 [size =\"15074304\"]\n  9 -> 23 [size =\"15074304\"]\n  9 -> 24 [size =\"15074304\"]\n  10 [size=\"65630720\", alpha=\"0.15\", expect_size=\"26252288\"] \n  10 -> 17 [size =\"26252288\"]\n  10 -> 22 [size =\"26252288\"]\n  10 -> 25 [size =\"26252288\"]\n  10 -> 26 [size =\"26252288\"]\n  11 [size=\"82137600\", alpha=\"0.03\", expect_size=\"32855040\"] \n  11 -> 17 [size =\"32855040\"]\n  11 -> 22 [size =\"32855040\"]\n  11 -> 23 [size =\"32855040\"]\n  11 -> 25 [size =\"32855040\"]\n  11 -> 26 [size =\"32855040\"]\n  12 [size=\"69099520\", alpha=\"0.14\", expect_size=\"27639808\"] \n  12 -> 17 [size =\"27639808\"]\n  13 [size=\"99174400\", alpha=\"0.07\", expect_size=\"39669760\"] \n  13 -> 28 [size =\"39669760\"]\n  13 -> 30 [size =\"39669760\"]\n  13 -> 31 [size =\"39669760\"]\n  13 -> 37 [size =\"39669760\"]\n  13 -> 39 [size =\"39669760\"]\n  14 [size=\"30031360\", alpha=\"0.02\", expect_size=\"12012544\"] \n  14 -> 28 [size =\"12012544\"]\n  14 -> 32 [size =\"12012544\"]\n  14 -> 33 [size =\"12012544\"]\n  14 -> 37 [size =\"12012544\"]\n  15 [size=\"83737600\", alpha=\"0.02\", expect_size=\"33495040\"] \n  15 -> 28 [size =\"33495040\"]\n  15 -> 37 [size =\"33495040\"]\n  16 [size=\"47854080\", alpha=\"0.10\", expect_size=\"19141632\"] \n  16 -> 28 [size =\"19141632\"]\n  16 -> 31 [size =\"19141632\"]\n  16 -> 36 [size =\"19141632\"]\n  16 -> 37 [size =\"19141632\"]\n  17 [size=\"33387520\", alpha=\"0.06\", expect_size=\"13355008\"] \n  17 -> 28 [size =\"13355008\"]\n  18 [size=\"97656320\", alpha=\"0.04\", expect_size=\"39062528\"] \n  18 -> 27 [size =\"39062528\"]\n  18 -> 28 [size =\"39062528\"]\n  18 -> 30 [size =\"39062528\"]\n  19 [size=\"104558080\", alpha=\"0.03\", expect_size=\"41823232\"] \n  19 -> 27 [size =\"41823232\"]\n  19 -> 31 [size =\"41823232\"]\n  19 -> 32 [size =\"41823232\"]\n  19 -> 34 [size =\"41823232\"]\n  19 -> 35 [size =\"41823232\"]\n  20 [size=\"37514240\", alpha=\"0.11\", expect_size=\"15005696\"] \n  20 -> 32 [size =\"15005696\"]\n  20 -> 38 [size =\"15005696\"]\n  20 -> 39 [size =\"15005696\"]\n  21 [size=\"125516800\", alpha=\"0.09\", expect_size=\"50206720\"] \n  21 -> 32 [size =\"50206720\"]\n  21 -> 35 [size =\"50206720\"]\n  21 -> 36 [size =\"50206720\"]\n  22 [size=\"22576640\", alpha=\"0.11\", expect_size=\"9030656\"] \n  22 -> 28 [size =\"9030656\"]\n  22 -> 29 [size =\"9030656\"]\n  23 [size=\"105628160\", alpha=\"0.15\", expect_size=\"42251264\"] \n  23 -> 30 [size =\"42251264\"]\n  23 -> 33 [size =\"42251264\"]\n  23 -> 34 [size =\"42251264\"]\n  23 -> 36 [size =\"42251264\"]\n  24 [size=\"26920960\", alpha=\"0.15\", expect_size=\"10768384\"] \n  24 -> 37 [size =\"10768384\"]\n  25 [size=\"38008320\", alpha=\"0.12\", expect_size=\"15203328\"] \n  25 -> 31 [size =\"15203328\"]\n  25 -> 32 [size =\"15203328\"]\n  26 [size=\"49966080\", alpha=\"0.09\", expect_size=\"19986432\"] \n  26 -> 29 [size =\"19986432\"]\n  26 -> 31 [size =\"19986432\"]\n  26 -> 36 [size =\"19986432\"]\n  26 -> 39 [size =\"19986432\"]\n  27 [size=\"106119680\", alpha=\"0.01\", expect_size=\"42447872\"] \n  27 -> 40 [size =\"42447872\"]\n  27 -> 44 [size =\"42447872\"]\n  27 -> 50 [size =\"42447872\"]\n  28 [size=\"20848640\", alpha=\"0.03\", expect_size=\"8339456\"] \n  28 -> 44 [size =\"8339456\"]\n  28 -> 44 [size =\"8339456\"]\n  28 -> 46 [size =\"8339456\"]\n  28 -> 48 [size =\"8339456\"]\n  28 -> 50 [size =\"8339456\"]\n  29 [size=\"44718080\", alpha=\"0.09\", expect_size=\"17887232\"] \n  29 -> 40 [size =\"17887232\"]\n  29 -> 44 [size =\"17887232\"]\n  29 -> 46 [size =\"17887232\"]\n  29 -> 48 [size =\"17887232\"]\n  29 -> 50 [size =\"17887232\"]\n  30 [size=\"63354880\", alpha=\"0.03\", expect_size=\"25341952\"] \n  30 -> 42 [size =\"25341952\"]\n  30 -> 45 [size =\"25341952\"]\n  30 -> 46 [size =\"25341952\"]\n  30 -> 50 [size =\"25341952\"]\n  31 [size=\"130685440\", alpha=\"0.10\", expect_size=\"52274176\"] \n  31 -> 43 [size =\"52274176\"]\n  31 -> 49 [size =\"52274176\"]\n  31 -> 50 [size =\"52274176\"]\n  32 [size=\"67660800\", alpha=\"0.06\", expect_size=\"27064320\"] \n  32 -> 41 [size =\"27064320\"]\n  32 -> 48 [size =\"27064320\"]\n  33 [size=\"16168960\", alpha=\"0.16\", expect_size=\"6467584\"] \n  33 -> 44 [size =\"6467584\"]\n  33 -> 48 [size =\"6467584\"]\n  34 [size=\"104680960\", alpha=\"0.09\", expect_size=\"41872384\"] \n  34 -> 48 [size =\"41872384\"]\n  35 [size=\"74890240\", alpha=\"0.15\", expect_size=\"29956096\"] \n  35 -> 46 [size =\"29956096\"]\n  36 [size=\"29624320\", alpha=\"0.06\", expect_size=\"11849728\"] \n  36 -> 40 [size =\"11849728\"]\n  36 -> 49 [size =\"11849728\"]\n  37 [size=\"84992000\", alpha=\"0.01\", expect_size=\"33996800\"] \n  37 -> 40 [size =\"33996800\"]\n  37 -> 44 [size =\"33996800\"]\n  37 -> 47 [size =\"33996800\"]\n  37 -> 49 [size =\"33996800\"]\n  37 -> 50 [size =\"33996800\"]\n  38 [size=\"92572160\", alpha=\"0.10\", expect_size=\"37028864\"] \n  38 -> 40 [size =\"37028864\"]\n  38 -> 48 [size =\"37028864\"]\n  39 [size=\"109634560\", alpha=\"0.14\", expect_size=\"43853824\"] \n  39 -> 40 [size =\"43853824\"]\n  39 -> 41 [size =\"43853824\"]\n  39 -> 46 [size =\"43853824\"]\n  40 [size=\"42790400\", alpha=\"0.03\", expect_size=\"17116160\"] \n  41 [size=\"62530560\", alpha=\"0.10\", expect_size=\"25012224\"] \n  42 [size=\"119925760\", alpha=\"0.20\", expect_size=\"47970304\"] \n  43 [size=\"35036160\", alpha=\"0.05\", expect_size=\"14014464\"] \n  44 [size=\"129861120\", alpha=\"0.12\", expect_size=\"51944448\"] \n  45 [size=\"67430400\", alpha=\"0.03\", expect_size=\"26972160\"] \n  46 [size=\"36336640\", alpha=\"0.01\", expect_size=\"14534656\"] \n  47 [size=\"71331840\", alpha=\"0.15\", expect_size=\"28532736\"] \n  48 [size=\"74734080\", alpha=\"0.10\", expect_size=\"29893632\"] \n  49 [size=\"13125120\", alpha=\"0.10\", expect_size=\"5250048\"] \n  50 [size=\"95925760\", alpha=\"0.19\", expect_size=\"38370304\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.819.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97634304\", alpha=\"0.19\", expect_size=\"48817152\"] \n  1 -> 12 [size =\"48817152\"]\n  1 -> 13 [size =\"48817152\"]\n  1 -> 15 [size =\"48817152\"]\n  2 [size=\"30824448\", alpha=\"0.15\", expect_size=\"15412224\"] \n  2 -> 13 [size =\"15412224\"]\n  2 -> 14 [size =\"15412224\"]\n  2 -> 15 [size =\"15412224\"]\n  3 [size=\"45723648\", alpha=\"0.01\", expect_size=\"22861824\"] \n  3 -> 11 [size =\"22861824\"]\n  3 -> 14 [size =\"22861824\"]\n  4 [size=\"65312768\", alpha=\"0.00\", expect_size=\"32656384\"] \n  4 -> 11 [size =\"32656384\"]\n  4 -> 12 [size =\"32656384\"]\n  4 -> 14 [size =\"32656384\"]\n  5 [size=\"56193024\", alpha=\"0.01\", expect_size=\"28096512\"] \n  5 -> 13 [size =\"28096512\"]\n  5 -> 14 [size =\"28096512\"]\n  6 [size=\"10698752\", alpha=\"0.07\", expect_size=\"5349376\"] \n  6 -> 13 [size =\"5349376\"]\n  6 -> 15 [size =\"5349376\"]\n  7 [size=\"52709376\", alpha=\"0.02\", expect_size=\"26354688\"] \n  7 -> 11 [size =\"26354688\"]\n  7 -> 13 [size =\"26354688\"]\n  8 [size=\"72878080\", alpha=\"0.07\", expect_size=\"36439040\"] \n  8 -> 11 [size =\"36439040\"]\n  8 -> 13 [size =\"36439040\"]\n  8 -> 15 [size =\"36439040\"]\n  9 [size=\"65232896\", alpha=\"0.14\", expect_size=\"32616448\"] \n  9 -> 13 [size =\"32616448\"]\n  9 -> 14 [size =\"32616448\"]\n  9 -> 15 [size =\"32616448\"]\n  10 [size=\"95641600\", alpha=\"0.00\", expect_size=\"47820800\"] \n  10 -> 14 [size =\"47820800\"]\n  10 -> 15 [size =\"47820800\"]\n  11 [size=\"66072576\", alpha=\"0.02\", expect_size=\"33036288\"] \n  11 -> 16 [size =\"33036288\"]\n  11 -> 22 [size =\"33036288\"]\n  12 [size=\"61483008\", alpha=\"0.00\", expect_size=\"30741504\"] \n  12 -> 17 [size =\"30741504\"]\n  12 -> 20 [size =\"30741504\"]\n  12 -> 23 [size =\"30741504\"]\n  13 [size=\"37224448\", alpha=\"0.05\", expect_size=\"18612224\"] \n  13 -> 16 [size =\"18612224\"]\n  13 -> 17 [size =\"18612224\"]\n  13 -> 18 [size =\"18612224\"]\n  13 -> 21 [size =\"18612224\"]\n  14 [size=\"40445952\", alpha=\"0.11\", expect_size=\"20222976\"] \n  14 -> 16 [size =\"20222976\"]\n  14 -> 19 [size =\"20222976\"]\n  14 -> 20 [size =\"20222976\"]\n  14 -> 21 [size =\"20222976\"]\n  14 -> 24 [size =\"20222976\"]\n  15 [size=\"42072064\", alpha=\"0.14\", expect_size=\"21036032\"] \n  15 -> 16 [size =\"21036032\"]\n  15 -> 19 [size =\"21036032\"]\n  16 [size=\"45912064\", alpha=\"0.13\", expect_size=\"22956032\"] \n  16 -> 26 [size =\"22956032\"]\n  16 -> 27 [size =\"22956032\"]\n  17 [size=\"78141440\", alpha=\"0.11\", expect_size=\"39070720\"] \n  17 -> 25 [size =\"39070720\"]\n  17 -> 27 [size =\"39070720\"]\n  18 [size=\"85630976\", alpha=\"0.08\", expect_size=\"42815488\"] \n  18 -> 25 [size =\"42815488\"]\n  18 -> 29 [size =\"42815488\"]\n  19 [size=\"25409536\", alpha=\"0.10\", expect_size=\"12704768\"] \n  19 -> 29 [size =\"12704768\"]\n  20 [size=\"92516352\", alpha=\"0.15\", expect_size=\"46258176\"] \n  20 -> 25 [size =\"46258176\"]\n  20 -> 26 [size =\"46258176\"]\n  21 [size=\"92780544\", alpha=\"0.18\", expect_size=\"46390272\"] \n  21 -> 25 [size =\"46390272\"]\n  21 -> 26 [size =\"46390272\"]\n  21 -> 27 [size =\"46390272\"]\n  22 [size=\"103106560\", alpha=\"0.05\", expect_size=\"51553280\"] \n  22 -> 25 [size =\"51553280\"]\n  23 [size=\"10786816\", alpha=\"0.00\", expect_size=\"5393408\"] \n  23 -> 26 [size =\"5393408\"]\n  24 [size=\"34834432\", alpha=\"0.07\", expect_size=\"17417216\"] \n  24 -> 28 [size =\"17417216\"]\n  25 [size=\"87750656\", alpha=\"0.03\", expect_size=\"43875328\"] \n  26 [size=\"59994112\", alpha=\"0.19\", expect_size=\"29997056\"] \n  26 -> 32 [size =\"29997056\"]\n  26 -> 33 [size =\"29997056\"]\n  27 [size=\"26705920\", alpha=\"0.05\", expect_size=\"13352960\"] \n  27 -> 32 [size =\"13352960\"]\n  27 -> 34 [size =\"13352960\"]\n  28 [size=\"77445120\", alpha=\"0.03\", expect_size=\"38722560\"] \n  28 -> 30 [size =\"38722560\"]\n  28 -> 31 [size =\"38722560\"]\n  28 -> 33 [size =\"38722560\"]\n  29 [size=\"19046400\", alpha=\"0.13\", expect_size=\"9523200\"] \n  29 -> 33 [size =\"9523200\"]\n  30 [size=\"66633728\", alpha=\"0.01\", expect_size=\"33316864\"] \n  30 -> 36 [size =\"33316864\"]\n  30 -> 37 [size =\"33316864\"]\n  31 [size=\"41922560\", alpha=\"0.01\", expect_size=\"20961280\"] \n  31 -> 36 [size =\"20961280\"]\n  31 -> 37 [size =\"20961280\"]\n  32 [size=\"32057344\", alpha=\"0.12\", expect_size=\"16028672\"] \n  32 -> 35 [size =\"16028672\"]\n  32 -> 36 [size =\"16028672\"]\n  32 -> 39 [size =\"16028672\"]\n  33 [size=\"57378816\", alpha=\"0.08\", expect_size=\"28689408\"] \n  33 -> 37 [size =\"28689408\"]\n  33 -> 38 [size =\"28689408\"]\n  34 [size=\"58755072\", alpha=\"0.11\", expect_size=\"29377536\"] \n  34 -> 37 [size =\"29377536\"]\n  34 -> 39 [size =\"29377536\"]\n  35 [size=\"91013120\", alpha=\"0.00\", expect_size=\"45506560\"] \n  35 -> 40 [size =\"45506560\"]\n  35 -> 41 [size =\"45506560\"]\n  35 -> 42 [size =\"45506560\"]\n  35 -> 43 [size =\"45506560\"]\n  36 [size=\"11118592\", alpha=\"0.17\", expect_size=\"5559296\"] \n  36 -> 40 [size =\"5559296\"]\n  37 [size=\"102400000\", alpha=\"0.08\", expect_size=\"51200000\"] \n  37 -> 40 [size =\"51200000\"]\n  37 -> 41 [size =\"51200000\"]\n  37 -> 42 [size =\"51200000\"]\n  37 -> 43 [size =\"51200000\"]\n  38 [size=\"29595648\", alpha=\"0.16\", expect_size=\"14797824\"] \n  38 -> 40 [size =\"14797824\"]\n  38 -> 41 [size =\"14797824\"]\n  39 [size=\"43841536\", alpha=\"0.06\", expect_size=\"21920768\"] \n  40 [size=\"11143168\", alpha=\"0.14\", expect_size=\"5571584\"] \n  40 -> 46 [size =\"5571584\"]\n  40 -> 47 [size =\"5571584\"]\n  40 -> 48 [size =\"5571584\"]\n  41 [size=\"16658432\", alpha=\"0.19\", expect_size=\"8329216\"] \n  41 -> 48 [size =\"8329216\"]\n  42 [size=\"21600256\", alpha=\"0.04\", expect_size=\"10800128\"] \n  42 -> 44 [size =\"10800128\"]\n  42 -> 45 [size =\"10800128\"]\n  42 -> 46 [size =\"10800128\"]\n  42 -> 48 [size =\"10800128\"]\n  43 [size=\"76969984\", alpha=\"0.08\", expect_size=\"38484992\"] \n  43 -> 45 [size =\"38484992\"]\n  43 -> 46 [size =\"38484992\"]\n  44 [size=\"20762624\", alpha=\"0.18\", expect_size=\"10381312\"] \n  45 [size=\"71684096\", alpha=\"0.05\", expect_size=\"35842048\"] \n  45 -> 50 [size =\"35842048\"]\n  46 [size=\"72572928\", alpha=\"0.02\", expect_size=\"36286464\"] \n  47 [size=\"58863616\", alpha=\"0.02\", expect_size=\"29431808\"] \n  47 -> 50 [size =\"29431808\"]\n  48 [size=\"98205696\", alpha=\"0.16\", expect_size=\"49102848\"] \n  48 -> 49 [size =\"49102848\"]\n  48 -> 50 [size =\"49102848\"]\n  49 [size=\"77008896\", alpha=\"0.13\", expect_size=\"38504448\"] \n  50 [size=\"104568832\", alpha=\"0.01\", expect_size=\"52284416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17885184\", alpha=\"0.03\", expect_size=\"8942592\"] \n  1 -> 8 [size =\"8942592\"]\n  1 -> 13 [size =\"8942592\"]\n  1 -> 14 [size =\"8942592\"]\n  2 [size=\"38703104\", alpha=\"0.17\", expect_size=\"19351552\"] \n  3 [size=\"68173824\", alpha=\"0.05\", expect_size=\"34086912\"] \n  3 -> 8 [size =\"34086912\"]\n  3 -> 10 [size =\"34086912\"]\n  3 -> 12 [size =\"34086912\"]\n  4 [size=\"54433792\", alpha=\"0.04\", expect_size=\"27216896\"] \n  4 -> 8 [size =\"27216896\"]\n  5 [size=\"48695296\", alpha=\"0.08\", expect_size=\"24347648\"] \n  5 -> 11 [size =\"24347648\"]\n  5 -> 13 [size =\"24347648\"]\n  5 -> 15 [size =\"24347648\"]\n  6 [size=\"63860736\", alpha=\"0.19\", expect_size=\"31930368\"] \n  6 -> 8 [size =\"31930368\"]\n  6 -> 15 [size =\"31930368\"]\n  7 [size=\"101181440\", alpha=\"0.19\", expect_size=\"50590720\"] \n  7 -> 8 [size =\"50590720\"]\n  7 -> 9 [size =\"50590720\"]\n  7 -> 15 [size =\"50590720\"]\n  8 [size=\"17766400\", alpha=\"0.12\", expect_size=\"8883200\"] \n  8 -> 16 [size =\"8883200\"]\n  8 -> 17 [size =\"8883200\"]\n  8 -> 18 [size =\"8883200\"]\n  9 [size=\"104484864\", alpha=\"0.02\", expect_size=\"52242432\"] \n  9 -> 16 [size =\"52242432\"]\n  9 -> 17 [size =\"52242432\"]\n  9 -> 19 [size =\"52242432\"]\n  10 [size=\"85690368\", alpha=\"0.09\", expect_size=\"42845184\"] \n  11 [size=\"87408640\", alpha=\"0.20\", expect_size=\"43704320\"] \n  11 -> 16 [size =\"43704320\"]\n  11 -> 18 [size =\"43704320\"]\n  12 [size=\"103884800\", alpha=\"0.02\", expect_size=\"51942400\"] \n  12 -> 16 [size =\"51942400\"]\n  12 -> 19 [size =\"51942400\"]\n  13 [size=\"88999936\", alpha=\"0.18\", expect_size=\"44499968\"] \n  13 -> 16 [size =\"44499968\"]\n  13 -> 17 [size =\"44499968\"]\n  13 -> 18 [size =\"44499968\"]\n  14 [size=\"16785408\", alpha=\"0.19\", expect_size=\"8392704\"] \n  14 -> 16 [size =\"8392704\"]\n  14 -> 17 [size =\"8392704\"]\n  14 -> 18 [size =\"8392704\"]\n  14 -> 20 [size =\"8392704\"]\n  15 [size=\"36302848\", alpha=\"0.20\", expect_size=\"18151424\"] \n  15 -> 17 [size =\"18151424\"]\n  15 -> 18 [size =\"18151424\"]\n  15 -> 20 [size =\"18151424\"]\n  16 [size=\"73508864\", alpha=\"0.17\", expect_size=\"36754432\"] \n  16 -> 24 [size =\"36754432\"]\n  16 -> 25 [size =\"36754432\"]\n  17 [size=\"70201344\", alpha=\"0.03\", expect_size=\"35100672\"] \n  17 -> 22 [size =\"35100672\"]\n  17 -> 25 [size =\"35100672\"]\n  18 [size=\"63188992\", alpha=\"0.03\", expect_size=\"31594496\"] \n  18 -> 22 [size =\"31594496\"]\n  19 [size=\"26339328\", alpha=\"0.08\", expect_size=\"13169664\"] \n  19 -> 23 [size =\"13169664\"]\n  20 [size=\"36384768\", alpha=\"0.03\", expect_size=\"18192384\"] \n  20 -> 21 [size =\"18192384\"]\n  20 -> 22 [size =\"18192384\"]\n  20 -> 23 [size =\"18192384\"]\n  20 -> 25 [size =\"18192384\"]\n  20 -> 26 [size =\"18192384\"]\n  21 [size=\"78491648\", alpha=\"0.01\", expect_size=\"39245824\"] \n  21 -> 27 [size =\"39245824\"]\n  21 -> 31 [size =\"39245824\"]\n  22 [size=\"78417920\", alpha=\"0.04\", expect_size=\"39208960\"] \n  22 -> 31 [size =\"39208960\"]\n  22 -> 31 [size =\"39208960\"]\n  22 -> 32 [size =\"39208960\"]\n  22 -> 34 [size =\"39208960\"]\n  23 [size=\"90085376\", alpha=\"0.20\", expect_size=\"45042688\"] \n  23 -> 28 [size =\"45042688\"]\n  23 -> 29 [size =\"45042688\"]\n  23 -> 31 [size =\"45042688\"]\n  23 -> 32 [size =\"45042688\"]\n  23 -> 33 [size =\"45042688\"]\n  23 -> 34 [size =\"45042688\"]\n  24 [size=\"82728960\", alpha=\"0.05\", expect_size=\"41364480\"] \n  24 -> 29 [size =\"41364480\"]\n  25 [size=\"75970560\", alpha=\"0.18\", expect_size=\"37985280\"] \n  25 -> 27 [size =\"37985280\"]\n  25 -> 28 [size =\"37985280\"]\n  25 -> 29 [size =\"37985280\"]\n  25 -> 30 [size =\"37985280\"]\n  25 -> 32 [size =\"37985280\"]\n  26 [size=\"75524096\", alpha=\"0.02\", expect_size=\"37762048\"] \n  26 -> 27 [size =\"37762048\"]\n  26 -> 29 [size =\"37762048\"]\n  26 -> 34 [size =\"37762048\"]\n  27 [size=\"61960192\", alpha=\"0.06\", expect_size=\"30980096\"] \n  27 -> 37 [size =\"30980096\"]\n  27 -> 38 [size =\"30980096\"]\n  27 -> 41 [size =\"30980096\"]\n  28 [size=\"78024704\", alpha=\"0.11\", expect_size=\"39012352\"] \n  29 [size=\"94451712\", alpha=\"0.16\", expect_size=\"47225856\"] \n  29 -> 35 [size =\"47225856\"]\n  29 -> 36 [size =\"47225856\"]\n  29 -> 39 [size =\"47225856\"]\n  30 [size=\"36225024\", alpha=\"0.17\", expect_size=\"18112512\"] \n  30 -> 35 [size =\"18112512\"]\n  30 -> 38 [size =\"18112512\"]\n  30 -> 40 [size =\"18112512\"]\n  31 [size=\"52623360\", alpha=\"0.14\", expect_size=\"26311680\"] \n  31 -> 37 [size =\"26311680\"]\n  31 -> 38 [size =\"26311680\"]\n  31 -> 39 [size =\"26311680\"]\n  31 -> 40 [size =\"26311680\"]\n  32 [size=\"56674304\", alpha=\"0.11\", expect_size=\"28337152\"] \n  32 -> 36 [size =\"28337152\"]\n  32 -> 37 [size =\"28337152\"]\n  32 -> 38 [size =\"28337152\"]\n  32 -> 39 [size =\"28337152\"]\n  33 [size=\"76599296\", alpha=\"0.05\", expect_size=\"38299648\"] \n  33 -> 37 [size =\"38299648\"]\n  33 -> 39 [size =\"38299648\"]\n  33 -> 41 [size =\"38299648\"]\n  34 [size=\"75712512\", alpha=\"0.20\", expect_size=\"37856256\"] \n  34 -> 37 [size =\"37856256\"]\n  34 -> 41 [size =\"37856256\"]\n  35 [size=\"97966080\", alpha=\"0.00\", expect_size=\"48983040\"] \n  35 -> 43 [size =\"48983040\"]\n  35 -> 45 [size =\"48983040\"]\n  35 -> 47 [size =\"48983040\"]\n  36 [size=\"87197696\", alpha=\"0.14\", expect_size=\"43598848\"] \n  36 -> 42 [size =\"43598848\"]\n  36 -> 44 [size =\"43598848\"]\n  36 -> 47 [size =\"43598848\"]\n  37 [size=\"96782336\", alpha=\"0.00\", expect_size=\"48391168\"] \n  37 -> 42 [size =\"48391168\"]\n  37 -> 44 [size =\"48391168\"]\n  37 -> 45 [size =\"48391168\"]\n  37 -> 47 [size =\"48391168\"]\n  38 [size=\"28672000\", alpha=\"0.18\", expect_size=\"14336000\"] \n  38 -> 45 [size =\"14336000\"]\n  38 -> 46 [size =\"14336000\"]\n  39 [size=\"78895104\", alpha=\"0.19\", expect_size=\"39447552\"] \n  39 -> 43 [size =\"39447552\"]\n  39 -> 45 [size =\"39447552\"]\n  40 [size=\"58331136\", alpha=\"0.06\", expect_size=\"29165568\"] \n  41 [size=\"42188800\", alpha=\"0.06\", expect_size=\"21094400\"] \n  41 -> 43 [size =\"21094400\"]\n  41 -> 45 [size =\"21094400\"]\n  42 [size=\"13019136\", alpha=\"0.02\", expect_size=\"6509568\"] \n  42 -> 48 [size =\"6509568\"]\n  43 [size=\"64223232\", alpha=\"0.14\", expect_size=\"32111616\"] \n  43 -> 48 [size =\"32111616\"]\n  43 -> 50 [size =\"32111616\"]\n  44 [size=\"85573632\", alpha=\"0.01\", expect_size=\"42786816\"] \n  44 -> 49 [size =\"42786816\"]\n  44 -> 50 [size =\"42786816\"]\n  45 [size=\"83367936\", alpha=\"0.03\", expect_size=\"41683968\"] \n  45 -> 50 [size =\"41683968\"]\n  46 [size=\"83429376\", alpha=\"0.18\", expect_size=\"41714688\"] \n  47 [size=\"54405120\", alpha=\"0.04\", expect_size=\"27202560\"] \n  48 [size=\"56014848\", alpha=\"0.04\", expect_size=\"28007424\"] \n  49 [size=\"46589952\", alpha=\"0.03\", expect_size=\"23294976\"] \n  50 [size=\"41984000\", alpha=\"0.06\", expect_size=\"20992000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.820.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"48243200\", alpha=\"0.12\", expect_size=\"19297280\"] \n  1 -> 8 [size =\"19297280\"]\n  1 -> 9 [size =\"19297280\"]\n  1 -> 11 [size =\"19297280\"]\n  1 -> 12 [size =\"19297280\"]\n  2 [size=\"45565440\", alpha=\"0.10\", expect_size=\"18226176\"] \n  2 -> 6 [size =\"18226176\"]\n  2 -> 8 [size =\"18226176\"]\n  2 -> 10 [size =\"18226176\"]\n  2 -> 12 [size =\"18226176\"]\n  3 [size=\"39744000\", alpha=\"0.12\", expect_size=\"15897600\"] \n  3 -> 7 [size =\"15897600\"]\n  3 -> 8 [size =\"15897600\"]\n  3 -> 9 [size =\"15897600\"]\n  4 [size=\"79383040\", alpha=\"0.02\", expect_size=\"31753216\"] \n  4 -> 9 [size =\"31753216\"]\n  4 -> 12 [size =\"31753216\"]\n  5 [size=\"91018240\", alpha=\"0.11\", expect_size=\"36407296\"] \n  5 -> 6 [size =\"36407296\"]\n  5 -> 10 [size =\"36407296\"]\n  6 [size=\"46205440\", alpha=\"0.18\", expect_size=\"18482176\"] \n  6 -> 13 [size =\"18482176\"]\n  6 -> 14 [size =\"18482176\"]\n  6 -> 15 [size =\"18482176\"]\n  6 -> 16 [size =\"18482176\"]\n  7 [size=\"43489280\", alpha=\"0.01\", expect_size=\"17395712\"] \n  7 -> 13 [size =\"17395712\"]\n  7 -> 16 [size =\"17395712\"]\n  8 [size=\"36951040\", alpha=\"0.05\", expect_size=\"14780416\"] \n  8 -> 13 [size =\"14780416\"]\n  8 -> 14 [size =\"14780416\"]\n  8 -> 16 [size =\"14780416\"]\n  8 -> 19 [size =\"14780416\"]\n  9 [size=\"108536320\", alpha=\"0.03\", expect_size=\"43414528\"] \n  10 [size=\"15943680\", alpha=\"0.20\", expect_size=\"6377472\"] \n  11 [size=\"119644160\", alpha=\"0.02\", expect_size=\"47857664\"] \n  11 -> 14 [size =\"47857664\"]\n  11 -> 15 [size =\"47857664\"]\n  11 -> 18 [size =\"47857664\"]\n  12 [size=\"75097600\", alpha=\"0.02\", expect_size=\"30039040\"] \n  12 -> 14 [size =\"30039040\"]\n  12 -> 16 [size =\"30039040\"]\n  12 -> 17 [size =\"30039040\"]\n  12 -> 18 [size =\"30039040\"]\n  12 -> 19 [size =\"30039040\"]\n  13 [size=\"17543680\", alpha=\"0.18\", expect_size=\"7017472\"] \n  13 -> 21 [size =\"7017472\"]\n  13 -> 22 [size =\"7017472\"]\n  13 -> 24 [size =\"7017472\"]\n  13 -> 26 [size =\"7017472\"]\n  14 [size=\"87375360\", alpha=\"0.07\", expect_size=\"34950144\"] \n  14 -> 21 [size =\"34950144\"]\n  14 -> 25 [size =\"34950144\"]\n  14 -> 26 [size =\"34950144\"]\n  14 -> 27 [size =\"34950144\"]\n  15 [size=\"102074880\", alpha=\"0.09\", expect_size=\"40829952\"] \n  15 -> 22 [size =\"40829952\"]\n  15 -> 25 [size =\"40829952\"]\n  15 -> 27 [size =\"40829952\"]\n  16 [size=\"48424960\", alpha=\"0.08\", expect_size=\"19369984\"] \n  16 -> 23 [size =\"19369984\"]\n  16 -> 25 [size =\"19369984\"]\n  16 -> 26 [size =\"19369984\"]\n  17 [size=\"35898880\", alpha=\"0.05\", expect_size=\"14359552\"] \n  17 -> 20 [size =\"14359552\"]\n  17 -> 26 [size =\"14359552\"]\n  18 [size=\"43988480\", alpha=\"0.13\", expect_size=\"17595392\"] \n  18 -> 20 [size =\"17595392\"]\n  18 -> 22 [size =\"17595392\"]\n  18 -> 23 [size =\"17595392\"]\n  19 [size=\"72051200\", alpha=\"0.12\", expect_size=\"28820480\"] \n  19 -> 20 [size =\"28820480\"]\n  19 -> 23 [size =\"28820480\"]\n  19 -> 25 [size =\"28820480\"]\n  19 -> 27 [size =\"28820480\"]\n  20 [size=\"90580480\", alpha=\"0.05\", expect_size=\"36232192\"] \n  20 -> 30 [size =\"36232192\"]\n  20 -> 31 [size =\"36232192\"]\n  21 [size=\"89344000\", alpha=\"0.05\", expect_size=\"35737600\"] \n  21 -> 28 [size =\"35737600\"]\n  22 [size=\"99023360\", alpha=\"0.10\", expect_size=\"39609344\"] \n  22 -> 28 [size =\"39609344\"]\n  22 -> 30 [size =\"39609344\"]\n  23 [size=\"110842880\", alpha=\"0.20\", expect_size=\"44337152\"] \n  23 -> 32 [size =\"44337152\"]\n  24 [size=\"98237440\", alpha=\"0.01\", expect_size=\"39294976\"] \n  24 -> 30 [size =\"39294976\"]\n  24 -> 32 [size =\"39294976\"]\n  25 [size=\"22888960\", alpha=\"0.15\", expect_size=\"9155584\"] \n  25 -> 31 [size =\"9155584\"]\n  26 [size=\"76597760\", alpha=\"0.14\", expect_size=\"30639104\"] \n  26 -> 28 [size =\"30639104\"]\n  26 -> 30 [size =\"30639104\"]\n  26 -> 31 [size =\"30639104\"]\n  26 -> 32 [size =\"30639104\"]\n  27 [size=\"125959680\", alpha=\"0.19\", expect_size=\"50383872\"] \n  27 -> 29 [size =\"50383872\"]\n  27 -> 30 [size =\"50383872\"]\n  27 -> 31 [size =\"50383872\"]\n  28 [size=\"38563840\", alpha=\"0.08\", expect_size=\"15425536\"] \n  28 -> 33 [size =\"15425536\"]\n  28 -> 35 [size =\"15425536\"]\n  28 -> 38 [size =\"15425536\"]\n  29 [size=\"115842560\", alpha=\"0.13\", expect_size=\"46337024\"] \n  29 -> 33 [size =\"46337024\"]\n  29 -> 39 [size =\"46337024\"]\n  29 -> 40 [size =\"46337024\"]\n  30 [size=\"65802240\", alpha=\"0.19\", expect_size=\"26320896\"] \n  30 -> 34 [size =\"26320896\"]\n  30 -> 36 [size =\"26320896\"]\n  30 -> 39 [size =\"26320896\"]\n  31 [size=\"96555520\", alpha=\"0.03\", expect_size=\"38622208\"] \n  31 -> 37 [size =\"38622208\"]\n  32 [size=\"125276160\", alpha=\"0.17\", expect_size=\"50110464\"] \n  32 -> 33 [size =\"50110464\"]\n  32 -> 35 [size =\"50110464\"]\n  32 -> 36 [size =\"50110464\"]\n  33 [size=\"66457600\", alpha=\"0.12\", expect_size=\"26583040\"] \n  33 -> 41 [size =\"26583040\"]\n  33 -> 45 [size =\"26583040\"]\n  33 -> 46 [size =\"26583040\"]\n  34 [size=\"64704000\", alpha=\"0.19\", expect_size=\"25881600\"] \n  34 -> 45 [size =\"25881600\"]\n  34 -> 46 [size =\"25881600\"]\n  35 [size=\"68321280\", alpha=\"0.02\", expect_size=\"27328512\"] \n  35 -> 45 [size =\"27328512\"]\n  35 -> 46 [size =\"27328512\"]\n  35 -> 47 [size =\"27328512\"]\n  35 -> 48 [size =\"27328512\"]\n  36 [size=\"37263360\", alpha=\"0.10\", expect_size=\"14905344\"] \n  36 -> 46 [size =\"14905344\"]\n  36 -> 47 [size =\"14905344\"]\n  36 -> 48 [size =\"14905344\"]\n  37 [size=\"122588160\", alpha=\"0.03\", expect_size=\"49035264\"] \n  37 -> 48 [size =\"49035264\"]\n  38 [size=\"118753280\", alpha=\"0.00\", expect_size=\"47501312\"] \n  38 -> 42 [size =\"47501312\"]\n  38 -> 45 [size =\"47501312\"]\n  38 -> 46 [size =\"47501312\"]\n  39 [size=\"49602560\", alpha=\"0.08\", expect_size=\"19841024\"] \n  39 -> 43 [size =\"19841024\"]\n  40 [size=\"128529920\", alpha=\"0.09\", expect_size=\"51411968\"] \n  40 -> 43 [size =\"51411968\"]\n  40 -> 44 [size =\"51411968\"]\n  41 [size=\"122442240\", alpha=\"0.03\", expect_size=\"48976896\"] \n  41 -> 49 [size =\"48976896\"]\n  42 [size=\"19916800\", alpha=\"0.11\", expect_size=\"7966720\"] \n  43 [size=\"118871040\", alpha=\"0.16\", expect_size=\"47548416\"] \n  44 [size=\"69849600\", alpha=\"0.15\", expect_size=\"27939840\"] \n  44 -> 49 [size =\"27939840\"]\n  44 -> 50 [size =\"27939840\"]\n  45 [size=\"65090560\", alpha=\"0.16\", expect_size=\"26036224\"] \n  45 -> 50 [size =\"26036224\"]\n  46 [size=\"75596800\", alpha=\"0.08\", expect_size=\"30238720\"] \n  46 -> 50 [size =\"30238720\"]\n  47 [size=\"18721280\", alpha=\"0.19\", expect_size=\"7488512\"] \n  47 -> 49 [size =\"7488512\"]\n  48 [size=\"35225600\", alpha=\"0.14\", expect_size=\"14090240\"] \n  48 -> 49 [size =\"14090240\"]\n  49 [size=\"38026240\", alpha=\"0.06\", expect_size=\"15210496\"] \n  50 [size=\"86067200\", alpha=\"0.08\", expect_size=\"34426880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.821.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101015552\", alpha=\"0.04\", expect_size=\"50507776\"] \n  2 [size=\"54269952\", alpha=\"0.19\", expect_size=\"27134976\"] \n  2 -> 7 [size =\"27134976\"]\n  3 [size=\"92405760\", alpha=\"0.15\", expect_size=\"46202880\"] \n  3 -> 5 [size =\"46202880\"]\n  3 -> 6 [size =\"46202880\"]\n  3 -> 7 [size =\"46202880\"]\n  3 -> 8 [size =\"46202880\"]\n  4 [size=\"83365888\", alpha=\"0.13\", expect_size=\"41682944\"] \n  4 -> 7 [size =\"41682944\"]\n  4 -> 8 [size =\"41682944\"]\n  5 [size=\"72941568\", alpha=\"0.06\", expect_size=\"36470784\"] \n  5 -> 9 [size =\"36470784\"]\n  5 -> 10 [size =\"36470784\"]\n  5 -> 11 [size =\"36470784\"]\n  6 [size=\"78944256\", alpha=\"0.10\", expect_size=\"39472128\"] \n  6 -> 9 [size =\"39472128\"]\n  6 -> 10 [size =\"39472128\"]\n  6 -> 11 [size =\"39472128\"]\n  7 [size=\"84551680\", alpha=\"0.08\", expect_size=\"42275840\"] \n  7 -> 9 [size =\"42275840\"]\n  8 [size=\"15456256\", alpha=\"0.00\", expect_size=\"7728128\"] \n  8 -> 10 [size =\"7728128\"]\n  8 -> 11 [size =\"7728128\"]\n  9 [size=\"93581312\", alpha=\"0.15\", expect_size=\"46790656\"] \n  10 [size=\"67221504\", alpha=\"0.17\", expect_size=\"33610752\"] \n  11 [size=\"54462464\", alpha=\"0.03\", expect_size=\"27231232\"] \n  11 -> 12 [size =\"27231232\"]\n  12 [size=\"74729472\", alpha=\"0.14\", expect_size=\"37364736\"] \n  12 -> 13 [size =\"37364736\"]\n  13 [size=\"68790272\", alpha=\"0.18\", expect_size=\"34395136\"] \n  13 -> 14 [size =\"34395136\"]\n  13 -> 15 [size =\"34395136\"]\n  14 [size=\"45131776\", alpha=\"0.05\", expect_size=\"22565888\"] \n  14 -> 16 [size =\"22565888\"]\n  15 [size=\"12011520\", alpha=\"0.10\", expect_size=\"6005760\"] \n  16 [size=\"38727680\", alpha=\"0.18\", expect_size=\"19363840\"] \n  16 -> 17 [size =\"19363840\"]\n  16 -> 18 [size =\"19363840\"]\n  16 -> 19 [size =\"19363840\"]\n  16 -> 20 [size =\"19363840\"]\n  17 [size=\"85325824\", alpha=\"0.05\", expect_size=\"42662912\"] \n  17 -> 21 [size =\"42662912\"]\n  17 -> 24 [size =\"42662912\"]\n  18 [size=\"29497344\", alpha=\"0.05\", expect_size=\"14748672\"] \n  18 -> 22 [size =\"14748672\"]\n  18 -> 23 [size =\"14748672\"]\n  18 -> 24 [size =\"14748672\"]\n  19 [size=\"30842880\", alpha=\"0.07\", expect_size=\"15421440\"] \n  19 -> 21 [size =\"15421440\"]\n  19 -> 22 [size =\"15421440\"]\n  19 -> 23 [size =\"15421440\"]\n  20 [size=\"99883008\", alpha=\"0.09\", expect_size=\"49941504\"] \n  20 -> 21 [size =\"49941504\"]\n  20 -> 22 [size =\"49941504\"]\n  21 [size=\"84013056\", alpha=\"0.10\", expect_size=\"42006528\"] \n  21 -> 26 [size =\"42006528\"]\n  22 [size=\"98062336\", alpha=\"0.20\", expect_size=\"49031168\"] \n  22 -> 26 [size =\"49031168\"]\n  23 [size=\"68413440\", alpha=\"0.07\", expect_size=\"34206720\"] \n  23 -> 25 [size =\"34206720\"]\n  24 [size=\"57069568\", alpha=\"0.10\", expect_size=\"28534784\"] \n  24 -> 25 [size =\"28534784\"]\n  25 [size=\"78747648\", alpha=\"0.07\", expect_size=\"39373824\"] \n  25 -> 28 [size =\"39373824\"]\n  25 -> 29 [size =\"39373824\"]\n  26 [size=\"33122304\", alpha=\"0.17\", expect_size=\"16561152\"] \n  26 -> 27 [size =\"16561152\"]\n  26 -> 29 [size =\"16561152\"]\n  27 [size=\"22839296\", alpha=\"0.04\", expect_size=\"11419648\"] \n  27 -> 30 [size =\"11419648\"]\n  27 -> 31 [size =\"11419648\"]\n  27 -> 32 [size =\"11419648\"]\n  28 [size=\"45504512\", alpha=\"0.11\", expect_size=\"22752256\"] \n  28 -> 31 [size =\"22752256\"]\n  29 [size=\"67878912\", alpha=\"0.16\", expect_size=\"33939456\"] \n  29 -> 31 [size =\"33939456\"]\n  30 [size=\"101609472\", alpha=\"0.13\", expect_size=\"50804736\"] \n  30 -> 35 [size =\"50804736\"]\n  31 [size=\"48969728\", alpha=\"0.20\", expect_size=\"24484864\"] \n  31 -> 35 [size =\"24484864\"]\n  32 [size=\"94861312\", alpha=\"0.20\", expect_size=\"47430656\"] \n  32 -> 33 [size =\"47430656\"]\n  32 -> 34 [size =\"47430656\"]\n  32 -> 35 [size =\"47430656\"]\n  33 [size=\"94326784\", alpha=\"0.12\", expect_size=\"47163392\"] \n  33 -> 36 [size =\"47163392\"]\n  34 [size=\"34914304\", alpha=\"0.12\", expect_size=\"17457152\"] \n  35 [size=\"83879936\", alpha=\"0.12\", expect_size=\"41939968\"] \n  36 [size=\"20563968\", alpha=\"0.18\", expect_size=\"10281984\"] \n  36 -> 37 [size =\"10281984\"]\n  36 -> 38 [size =\"10281984\"]\n  36 -> 39 [size =\"10281984\"]\n  37 [size=\"102168576\", alpha=\"0.20\", expect_size=\"51084288\"] \n  37 -> 41 [size =\"51084288\"]\n  37 -> 42 [size =\"51084288\"]\n  38 [size=\"25274368\", alpha=\"0.06\", expect_size=\"12637184\"] \n  38 -> 40 [size =\"12637184\"]\n  39 [size=\"77967360\", alpha=\"0.16\", expect_size=\"38983680\"] \n  39 -> 40 [size =\"38983680\"]\n  40 [size=\"60231680\", alpha=\"0.05\", expect_size=\"30115840\"] \n  40 -> 43 [size =\"30115840\"]\n  40 -> 46 [size =\"30115840\"]\n  41 [size=\"28801024\", alpha=\"0.10\", expect_size=\"14400512\"] \n  41 -> 43 [size =\"14400512\"]\n  41 -> 44 [size =\"14400512\"]\n  41 -> 45 [size =\"14400512\"]\n  41 -> 46 [size =\"14400512\"]\n  42 [size=\"27654144\", alpha=\"0.13\", expect_size=\"13827072\"] \n  42 -> 44 [size =\"13827072\"]\n  42 -> 45 [size =\"13827072\"]\n  43 [size=\"26664960\", alpha=\"0.09\", expect_size=\"13332480\"] \n  43 -> 47 [size =\"13332480\"]\n  44 [size=\"84137984\", alpha=\"0.14\", expect_size=\"42068992\"] \n  44 -> 47 [size =\"42068992\"]\n  45 [size=\"45977600\", alpha=\"0.14\", expect_size=\"22988800\"] \n  46 [size=\"102451200\", alpha=\"0.19\", expect_size=\"51225600\"] \n  46 -> 47 [size =\"51225600\"]\n  47 [size=\"93061120\", alpha=\"0.07\", expect_size=\"46530560\"] \n  47 -> 48 [size =\"46530560\"]\n  47 -> 49 [size =\"46530560\"]\n  47 -> 50 [size =\"46530560\"]\n  48 [size=\"92645376\", alpha=\"0.01\", expect_size=\"46322688\"] \n  49 [size=\"25847808\", alpha=\"0.08\", expect_size=\"12923904\"] \n  50 [size=\"101769216\", alpha=\"0.15\", expect_size=\"50884608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.822.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77039616\", alpha=\"0.13\", expect_size=\"38519808\"] \n  1 -> 22 [size =\"38519808\"]\n  1 -> 27 [size =\"38519808\"]\n  1 -> 29 [size =\"38519808\"]\n  1 -> 30 [size =\"38519808\"]\n  1 -> 41 [size =\"38519808\"]\n  1 -> 43 [size =\"38519808\"]\n  1 -> 44 [size =\"38519808\"]\n  2 [size=\"84381696\", alpha=\"0.01\", expect_size=\"42190848\"] \n  2 -> 26 [size =\"42190848\"]\n  2 -> 29 [size =\"42190848\"]\n  2 -> 31 [size =\"42190848\"]\n  2 -> 34 [size =\"42190848\"]\n  2 -> 37 [size =\"42190848\"]\n  2 -> 38 [size =\"42190848\"]\n  2 -> 39 [size =\"42190848\"]\n  2 -> 41 [size =\"42190848\"]\n  2 -> 42 [size =\"42190848\"]\n  2 -> 43 [size =\"42190848\"]\n  3 [size=\"99088384\", alpha=\"0.19\", expect_size=\"49544192\"] \n  3 -> 22 [size =\"49544192\"]\n  3 -> 25 [size =\"49544192\"]\n  3 -> 27 [size =\"49544192\"]\n  3 -> 32 [size =\"49544192\"]\n  3 -> 37 [size =\"49544192\"]\n  3 -> 38 [size =\"49544192\"]\n  3 -> 39 [size =\"49544192\"]\n  3 -> 41 [size =\"49544192\"]\n  3 -> 42 [size =\"49544192\"]\n  4 [size=\"22966272\", alpha=\"0.04\", expect_size=\"11483136\"] \n  4 -> 23 [size =\"11483136\"]\n  4 -> 27 [size =\"11483136\"]\n  4 -> 34 [size =\"11483136\"]\n  4 -> 40 [size =\"11483136\"]\n  4 -> 41 [size =\"11483136\"]\n  4 -> 42 [size =\"11483136\"]\n  5 [size=\"71061504\", alpha=\"0.03\", expect_size=\"35530752\"] \n  5 -> 25 [size =\"35530752\"]\n  5 -> 27 [size =\"35530752\"]\n  5 -> 34 [size =\"35530752\"]\n  5 -> 37 [size =\"35530752\"]\n  5 -> 40 [size =\"35530752\"]\n  5 -> 42 [size =\"35530752\"]\n  5 -> 43 [size =\"35530752\"]\n  6 [size=\"81575936\", alpha=\"0.19\", expect_size=\"40787968\"] \n  6 -> 21 [size =\"40787968\"]\n  6 -> 22 [size =\"40787968\"]\n  6 -> 23 [size =\"40787968\"]\n  6 -> 25 [size =\"40787968\"]\n  6 -> 27 [size =\"40787968\"]\n  6 -> 32 [size =\"40787968\"]\n  6 -> 34 [size =\"40787968\"]\n  7 [size=\"88379392\", alpha=\"0.16\", expect_size=\"44189696\"] \n  7 -> 29 [size =\"44189696\"]\n  7 -> 31 [size =\"44189696\"]\n  7 -> 33 [size =\"44189696\"]\n  7 -> 36 [size =\"44189696\"]\n  7 -> 38 [size =\"44189696\"]\n  7 -> 44 [size =\"44189696\"]\n  8 [size=\"95281152\", alpha=\"0.12\", expect_size=\"47640576\"] \n  8 -> 21 [size =\"47640576\"]\n  8 -> 22 [size =\"47640576\"]\n  8 -> 23 [size =\"47640576\"]\n  8 -> 26 [size =\"47640576\"]\n  8 -> 31 [size =\"47640576\"]\n  8 -> 37 [size =\"47640576\"]\n  8 -> 38 [size =\"47640576\"]\n  8 -> 41 [size =\"47640576\"]\n  9 [size=\"23943168\", alpha=\"0.10\", expect_size=\"11971584\"] \n  9 -> 21 [size =\"11971584\"]\n  9 -> 23 [size =\"11971584\"]\n  9 -> 23 [size =\"11971584\"]\n  9 -> 39 [size =\"11971584\"]\n  10 [size=\"93851648\", alpha=\"0.15\", expect_size=\"46925824\"] \n  10 -> 22 [size =\"46925824\"]\n  10 -> 23 [size =\"46925824\"]\n  10 -> 30 [size =\"46925824\"]\n  10 -> 35 [size =\"46925824\"]\n  10 -> 39 [size =\"46925824\"]\n  10 -> 40 [size =\"46925824\"]\n  10 -> 42 [size =\"46925824\"]\n  11 [size=\"22056960\", alpha=\"0.14\", expect_size=\"11028480\"] \n  11 -> 21 [size =\"11028480\"]\n  11 -> 24 [size =\"11028480\"]\n  11 -> 31 [size =\"11028480\"]\n  11 -> 33 [size =\"11028480\"]\n  11 -> 34 [size =\"11028480\"]\n  11 -> 40 [size =\"11028480\"]\n  11 -> 41 [size =\"11028480\"]\n  11 -> 42 [size =\"11028480\"]\n  11 -> 44 [size =\"11028480\"]\n  12 [size=\"83607552\", alpha=\"0.15\", expect_size=\"41803776\"] \n  12 -> 21 [size =\"41803776\"]\n  12 -> 23 [size =\"41803776\"]\n  12 -> 24 [size =\"41803776\"]\n  12 -> 25 [size =\"41803776\"]\n  12 -> 27 [size =\"41803776\"]\n  12 -> 29 [size =\"41803776\"]\n  12 -> 30 [size =\"41803776\"]\n  12 -> 31 [size =\"41803776\"]\n  12 -> 33 [size =\"41803776\"]\n  12 -> 35 [size =\"41803776\"]\n  12 -> 38 [size =\"41803776\"]\n  12 -> 44 [size =\"41803776\"]\n  13 [size=\"86013952\", alpha=\"0.09\", expect_size=\"43006976\"] \n  13 -> 21 [size =\"43006976\"]\n  13 -> 22 [size =\"43006976\"]\n  13 -> 26 [size =\"43006976\"]\n  13 -> 27 [size =\"43006976\"]\n  13 -> 30 [size =\"43006976\"]\n  13 -> 31 [size =\"43006976\"]\n  13 -> 35 [size =\"43006976\"]\n  13 -> 37 [size =\"43006976\"]\n  13 -> 38 [size =\"43006976\"]\n  13 -> 39 [size =\"43006976\"]\n  13 -> 40 [size =\"43006976\"]\n  14 [size=\"79372288\", alpha=\"0.13\", expect_size=\"39686144\"] \n  14 -> 22 [size =\"39686144\"]\n  14 -> 24 [size =\"39686144\"]\n  14 -> 27 [size =\"39686144\"]\n  14 -> 30 [size =\"39686144\"]\n  14 -> 38 [size =\"39686144\"]\n  14 -> 40 [size =\"39686144\"]\n  14 -> 42 [size =\"39686144\"]\n  15 [size=\"98299904\", alpha=\"0.10\", expect_size=\"49149952\"] \n  15 -> 23 [size =\"49149952\"]\n  15 -> 24 [size =\"49149952\"]\n  15 -> 27 [size =\"49149952\"]\n  15 -> 31 [size =\"49149952\"]\n  15 -> 32 [size =\"49149952\"]\n  15 -> 35 [size =\"49149952\"]\n  15 -> 38 [size =\"49149952\"]\n  15 -> 42 [size =\"49149952\"]\n  15 -> 43 [size =\"49149952\"]\n  15 -> 45 [size =\"49149952\"]\n  16 [size=\"16105472\", alpha=\"0.06\", expect_size=\"8052736\"] \n  16 -> 21 [size =\"8052736\"]\n  16 -> 25 [size =\"8052736\"]\n  16 -> 26 [size =\"8052736\"]\n  16 -> 31 [size =\"8052736\"]\n  16 -> 34 [size =\"8052736\"]\n  16 -> 35 [size =\"8052736\"]\n  16 -> 36 [size =\"8052736\"]\n  16 -> 38 [size =\"8052736\"]\n  16 -> 44 [size =\"8052736\"]\n  16 -> 45 [size =\"8052736\"]\n  17 [size=\"12544000\", alpha=\"0.03\", expect_size=\"6272000\"] \n  17 -> 22 [size =\"6272000\"]\n  17 -> 24 [size =\"6272000\"]\n  17 -> 38 [size =\"6272000\"]\n  17 -> 41 [size =\"6272000\"]\n  17 -> 42 [size =\"6272000\"]\n  17 -> 44 [size =\"6272000\"]\n  18 [size=\"86163456\", alpha=\"0.20\", expect_size=\"43081728\"] \n  18 -> 22 [size =\"43081728\"]\n  18 -> 23 [size =\"43081728\"]\n  18 -> 24 [size =\"43081728\"]\n  18 -> 29 [size =\"43081728\"]\n  18 -> 30 [size =\"43081728\"]\n  18 -> 35 [size =\"43081728\"]\n  18 -> 36 [size =\"43081728\"]\n  18 -> 38 [size =\"43081728\"]\n  18 -> 41 [size =\"43081728\"]\n  18 -> 42 [size =\"43081728\"]\n  18 -> 44 [size =\"43081728\"]\n  18 -> 45 [size =\"43081728\"]\n  19 [size=\"49823744\", alpha=\"0.19\", expect_size=\"24911872\"] \n  19 -> 22 [size =\"24911872\"]\n  19 -> 23 [size =\"24911872\"]\n  19 -> 24 [size =\"24911872\"]\n  19 -> 26 [size =\"24911872\"]\n  19 -> 27 [size =\"24911872\"]\n  19 -> 29 [size =\"24911872\"]\n  19 -> 32 [size =\"24911872\"]\n  19 -> 35 [size =\"24911872\"]\n  19 -> 38 [size =\"24911872\"]\n  19 -> 41 [size =\"24911872\"]\n  19 -> 42 [size =\"24911872\"]\n  19 -> 43 [size =\"24911872\"]\n  19 -> 44 [size =\"24911872\"]\n  19 -> 45 [size =\"24911872\"]\n  20 [size=\"95105024\", alpha=\"0.01\", expect_size=\"47552512\"] \n  20 -> 21 [size =\"47552512\"]\n  20 -> 22 [size =\"47552512\"]\n  20 -> 23 [size =\"47552512\"]\n  20 -> 27 [size =\"47552512\"]\n  20 -> 28 [size =\"47552512\"]\n  20 -> 29 [size =\"47552512\"]\n  20 -> 31 [size =\"47552512\"]\n  20 -> 33 [size =\"47552512\"]\n  20 -> 41 [size =\"47552512\"]\n  21 [size=\"70928384\", alpha=\"0.16\", expect_size=\"35464192\"] \n  21 -> 48 [size =\"35464192\"]\n  21 -> 49 [size =\"35464192\"]\n  22 [size=\"42702848\", alpha=\"0.07\", expect_size=\"21351424\"] \n  22 -> 47 [size =\"21351424\"]\n  22 -> 49 [size =\"21351424\"]\n  23 [size=\"20740096\", alpha=\"0.17\", expect_size=\"10370048\"] \n  23 -> 49 [size =\"10370048\"]\n  24 [size=\"61904896\", alpha=\"0.10\", expect_size=\"30952448\"] \n  24 -> 47 [size =\"30952448\"]\n  24 -> 49 [size =\"30952448\"]\n  25 [size=\"30377984\", alpha=\"0.15\", expect_size=\"15188992\"] \n  25 -> 49 [size =\"15188992\"]\n  26 [size=\"77283328\", alpha=\"0.16\", expect_size=\"38641664\"] \n  26 -> 48 [size =\"38641664\"]\n  26 -> 50 [size =\"38641664\"]\n  27 [size=\"104112128\", alpha=\"0.13\", expect_size=\"52056064\"] \n  27 -> 48 [size =\"52056064\"]\n  27 -> 49 [size =\"52056064\"]\n  27 -> 50 [size =\"52056064\"]\n  28 [size=\"24756224\", alpha=\"0.08\", expect_size=\"12378112\"] \n  28 -> 49 [size =\"12378112\"]\n  29 [size=\"24012800\", alpha=\"0.06\", expect_size=\"12006400\"] \n  29 -> 48 [size =\"12006400\"]\n  29 -> 49 [size =\"12006400\"]\n  29 -> 50 [size =\"12006400\"]\n  30 [size=\"19955712\", alpha=\"0.01\", expect_size=\"9977856\"] \n  30 -> 48 [size =\"9977856\"]\n  30 -> 49 [size =\"9977856\"]\n  31 [size=\"22736896\", alpha=\"0.19\", expect_size=\"11368448\"] \n  31 -> 47 [size =\"11368448\"]\n  31 -> 48 [size =\"11368448\"]\n  31 -> 50 [size =\"11368448\"]\n  32 [size=\"98914304\", alpha=\"0.13\", expect_size=\"49457152\"] \n  32 -> 48 [size =\"49457152\"]\n  33 [size=\"39268352\", alpha=\"0.02\", expect_size=\"19634176\"] \n  33 -> 50 [size =\"19634176\"]\n  34 [size=\"26777600\", alpha=\"0.07\", expect_size=\"13388800\"] \n  34 -> 48 [size =\"13388800\"]\n  34 -> 50 [size =\"13388800\"]\n  35 [size=\"73920512\", alpha=\"0.09\", expect_size=\"36960256\"] \n  35 -> 46 [size =\"36960256\"]\n  35 -> 47 [size =\"36960256\"]\n  35 -> 48 [size =\"36960256\"]\n  35 -> 50 [size =\"36960256\"]\n  36 [size=\"52531200\", alpha=\"0.13\", expect_size=\"26265600\"] \n  37 [size=\"33697792\", alpha=\"0.18\", expect_size=\"16848896\"] \n  37 -> 46 [size =\"16848896\"]\n  37 -> 47 [size =\"16848896\"]\n  37 -> 48 [size =\"16848896\"]\n  38 [size=\"95320064\", alpha=\"0.18\", expect_size=\"47660032\"] \n  38 -> 47 [size =\"47660032\"]\n  38 -> 49 [size =\"47660032\"]\n  39 [size=\"39075840\", alpha=\"0.07\", expect_size=\"19537920\"] \n  39 -> 47 [size =\"19537920\"]\n  39 -> 48 [size =\"19537920\"]\n  39 -> 50 [size =\"19537920\"]\n  40 [size=\"67168256\", alpha=\"0.13\", expect_size=\"33584128\"] \n  40 -> 46 [size =\"33584128\"]\n  40 -> 47 [size =\"33584128\"]\n  40 -> 50 [size =\"33584128\"]\n  41 [size=\"74217472\", alpha=\"0.13\", expect_size=\"37108736\"] \n  41 -> 47 [size =\"37108736\"]\n  41 -> 49 [size =\"37108736\"]\n  41 -> 50 [size =\"37108736\"]\n  42 [size=\"71798784\", alpha=\"0.19\", expect_size=\"35899392\"] \n  42 -> 46 [size =\"35899392\"]\n  42 -> 50 [size =\"35899392\"]\n  43 [size=\"38662144\", alpha=\"0.07\", expect_size=\"19331072\"] \n  43 -> 48 [size =\"19331072\"]\n  43 -> 49 [size =\"19331072\"]\n  44 [size=\"50337792\", alpha=\"0.07\", expect_size=\"25168896\"] \n  44 -> 47 [size =\"25168896\"]\n  45 [size=\"81342464\", alpha=\"0.10\", expect_size=\"40671232\"] \n  45 -> 46 [size =\"40671232\"]\n  45 -> 47 [size =\"40671232\"]\n  46 [size=\"30746624\", alpha=\"0.08\", expect_size=\"15373312\"] \n  47 [size=\"92919808\", alpha=\"0.06\", expect_size=\"46459904\"] \n  48 [size=\"81172480\", alpha=\"0.06\", expect_size=\"40586240\"] \n  49 [size=\"71188480\", alpha=\"0.10\", expect_size=\"35594240\"] \n  50 [size=\"102303744\", alpha=\"0.15\", expect_size=\"51151872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.823.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18960384\", alpha=\"0.15\", expect_size=\"9480192\"] \n  1 -> 3 [size =\"9480192\"]\n  1 -> 4 [size =\"9480192\"]\n  1 -> 5 [size =\"9480192\"]\n  2 [size=\"57888768\", alpha=\"0.05\", expect_size=\"28944384\"] \n  3 [size=\"58714112\", alpha=\"0.12\", expect_size=\"29357056\"] \n  3 -> 8 [size =\"29357056\"]\n  4 [size=\"65226752\", alpha=\"0.19\", expect_size=\"32613376\"] \n  4 -> 7 [size =\"32613376\"]\n  5 [size=\"26097664\", alpha=\"0.06\", expect_size=\"13048832\"] \n  5 -> 6 [size =\"13048832\"]\n  5 -> 8 [size =\"13048832\"]\n  6 [size=\"103432192\", alpha=\"0.06\", expect_size=\"51716096\"] \n  7 [size=\"23177216\", alpha=\"0.18\", expect_size=\"11588608\"] \n  7 -> 9 [size =\"11588608\"]\n  8 [size=\"40130560\", alpha=\"0.16\", expect_size=\"20065280\"] \n  8 -> 10 [size =\"20065280\"]\n  9 [size=\"70649856\", alpha=\"0.07\", expect_size=\"35324928\"] \n  9 -> 11 [size =\"35324928\"]\n  9 -> 13 [size =\"35324928\"]\n  10 [size=\"87857152\", alpha=\"0.09\", expect_size=\"43928576\"] \n  10 -> 12 [size =\"43928576\"]\n  11 [size=\"49774592\", alpha=\"0.08\", expect_size=\"24887296\"] \n  11 -> 14 [size =\"24887296\"]\n  11 -> 15 [size =\"24887296\"]\n  12 [size=\"27398144\", alpha=\"0.14\", expect_size=\"13699072\"] \n  12 -> 16 [size =\"13699072\"]\n  13 [size=\"52903936\", alpha=\"0.04\", expect_size=\"26451968\"] \n  14 [size=\"17412096\", alpha=\"0.16\", expect_size=\"8706048\"] \n  14 -> 17 [size =\"8706048\"]\n  14 -> 18 [size =\"8706048\"]\n  15 [size=\"11991040\", alpha=\"0.04\", expect_size=\"5995520\"] \n  15 -> 19 [size =\"5995520\"]\n  16 [size=\"38514688\", alpha=\"0.04\", expect_size=\"19257344\"] \n  16 -> 17 [size =\"19257344\"]\n  16 -> 18 [size =\"19257344\"]\n  17 [size=\"64718848\", alpha=\"0.07\", expect_size=\"32359424\"] \n  18 [size=\"52979712\", alpha=\"0.04\", expect_size=\"26489856\"] \n  18 -> 20 [size =\"26489856\"]\n  18 -> 21 [size =\"26489856\"]\n  19 [size=\"33927168\", alpha=\"0.05\", expect_size=\"16963584\"] \n  20 [size=\"66424832\", alpha=\"0.19\", expect_size=\"33212416\"] \n  20 -> 22 [size =\"33212416\"]\n  20 -> 23 [size =\"33212416\"]\n  21 [size=\"16052224\", alpha=\"0.14\", expect_size=\"8026112\"] \n  22 [size=\"51800064\", alpha=\"0.00\", expect_size=\"25900032\"] \n  22 -> 25 [size =\"25900032\"]\n  23 [size=\"24530944\", alpha=\"0.16\", expect_size=\"12265472\"] \n  23 -> 24 [size =\"12265472\"]\n  23 -> 26 [size =\"12265472\"]\n  24 [size=\"44754944\", alpha=\"0.03\", expect_size=\"22377472\"] \n  24 -> 28 [size =\"22377472\"]\n  25 [size=\"25278464\", alpha=\"0.14\", expect_size=\"12639232\"] \n  26 [size=\"45158400\", alpha=\"0.04\", expect_size=\"22579200\"] \n  26 -> 27 [size =\"22579200\"]\n  26 -> 28 [size =\"22579200\"]\n  27 [size=\"65312768\", alpha=\"0.17\", expect_size=\"32656384\"] \n  27 -> 29 [size =\"32656384\"]\n  27 -> 30 [size =\"32656384\"]\n  28 [size=\"97742848\", alpha=\"0.17\", expect_size=\"48871424\"] \n  28 -> 31 [size =\"48871424\"]\n  29 [size=\"23783424\", alpha=\"0.09\", expect_size=\"11891712\"] \n  29 -> 32 [size =\"11891712\"]\n  29 -> 34 [size =\"11891712\"]\n  30 [size=\"48326656\", alpha=\"0.17\", expect_size=\"24163328\"] \n  31 [size=\"43298816\", alpha=\"0.14\", expect_size=\"21649408\"] \n  31 -> 33 [size =\"21649408\"]\n  31 -> 34 [size =\"21649408\"]\n  32 [size=\"17170432\", alpha=\"0.15\", expect_size=\"8585216\"] \n  33 [size=\"17348608\", alpha=\"0.04\", expect_size=\"8674304\"] \n  33 -> 35 [size =\"8674304\"]\n  33 -> 36 [size =\"8674304\"]\n  34 [size=\"92061696\", alpha=\"0.15\", expect_size=\"46030848\"] \n  34 -> 35 [size =\"46030848\"]\n  34 -> 36 [size =\"46030848\"]\n  35 [size=\"12935168\", alpha=\"0.06\", expect_size=\"6467584\"] \n  35 -> 37 [size =\"6467584\"]\n  35 -> 38 [size =\"6467584\"]\n  36 [size=\"78700544\", alpha=\"0.03\", expect_size=\"39350272\"] \n  37 [size=\"99186688\", alpha=\"0.12\", expect_size=\"49593344\"] \n  37 -> 39 [size =\"49593344\"]\n  38 [size=\"87087104\", alpha=\"0.10\", expect_size=\"43543552\"] \n  38 -> 40 [size =\"43543552\"]\n  38 -> 41 [size =\"43543552\"]\n  39 [size=\"72050688\", alpha=\"0.12\", expect_size=\"36025344\"] \n  39 -> 42 [size =\"36025344\"]\n  40 [size=\"19869696\", alpha=\"0.07\", expect_size=\"9934848\"] \n  40 -> 43 [size =\"9934848\"]\n  41 [size=\"102285312\", alpha=\"0.03\", expect_size=\"51142656\"] \n  42 [size=\"75474944\", alpha=\"0.07\", expect_size=\"37737472\"] \n  42 -> 44 [size =\"37737472\"]\n  42 -> 45 [size =\"37737472\"]\n  42 -> 46 [size =\"37737472\"]\n  43 [size=\"50724864\", alpha=\"0.14\", expect_size=\"25362432\"] \n  44 [size=\"70453248\", alpha=\"0.09\", expect_size=\"35226624\"] \n  44 -> 47 [size =\"35226624\"]\n  45 [size=\"47216640\", alpha=\"0.07\", expect_size=\"23608320\"] \n  45 -> 48 [size =\"23608320\"]\n  46 [size=\"76894208\", alpha=\"0.12\", expect_size=\"38447104\"] \n  46 -> 47 [size =\"38447104\"]\n  47 [size=\"93143040\", alpha=\"0.09\", expect_size=\"46571520\"] \n  47 -> 49 [size =\"46571520\"]\n  47 -> 50 [size =\"46571520\"]\n  48 [size=\"55826432\", alpha=\"0.04\", expect_size=\"27913216\"] \n  49 [size=\"101810176\", alpha=\"0.02\", expect_size=\"50905088\"] \n  50 [size=\"65794048\", alpha=\"0.08\", expect_size=\"32897024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.824.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103555072\", alpha=\"0.11\", expect_size=\"51777536\"] \n  1 -> 16 [size =\"51777536\"]\n  1 -> 20 [size =\"51777536\"]\n  1 -> 21 [size =\"51777536\"]\n  1 -> 24 [size =\"51777536\"]\n  1 -> 25 [size =\"51777536\"]\n  1 -> 28 [size =\"51777536\"]\n  1 -> 30 [size =\"51777536\"]\n  1 -> 34 [size =\"51777536\"]\n  1 -> 36 [size =\"51777536\"]\n  2 [size=\"79149056\", alpha=\"0.05\", expect_size=\"39574528\"] \n  2 -> 21 [size =\"39574528\"]\n  2 -> 23 [size =\"39574528\"]\n  2 -> 24 [size =\"39574528\"]\n  2 -> 25 [size =\"39574528\"]\n  2 -> 28 [size =\"39574528\"]\n  2 -> 31 [size =\"39574528\"]\n  2 -> 33 [size =\"39574528\"]\n  2 -> 34 [size =\"39574528\"]\n  2 -> 35 [size =\"39574528\"]\n  3 [size=\"36714496\", alpha=\"0.02\", expect_size=\"18357248\"] \n  3 -> 19 [size =\"18357248\"]\n  3 -> 21 [size =\"18357248\"]\n  3 -> 22 [size =\"18357248\"]\n  3 -> 27 [size =\"18357248\"]\n  3 -> 28 [size =\"18357248\"]\n  3 -> 29 [size =\"18357248\"]\n  3 -> 30 [size =\"18357248\"]\n  3 -> 33 [size =\"18357248\"]\n  4 [size=\"80109568\", alpha=\"0.03\", expect_size=\"40054784\"] \n  4 -> 16 [size =\"40054784\"]\n  4 -> 21 [size =\"40054784\"]\n  4 -> 24 [size =\"40054784\"]\n  4 -> 33 [size =\"40054784\"]\n  4 -> 34 [size =\"40054784\"]\n  5 [size=\"103022592\", alpha=\"0.14\", expect_size=\"51511296\"] \n  5 -> 16 [size =\"51511296\"]\n  5 -> 27 [size =\"51511296\"]\n  5 -> 31 [size =\"51511296\"]\n  5 -> 33 [size =\"51511296\"]\n  5 -> 34 [size =\"51511296\"]\n  5 -> 36 [size =\"51511296\"]\n  6 [size=\"12967936\", alpha=\"0.05\", expect_size=\"6483968\"] \n  6 -> 21 [size =\"6483968\"]\n  6 -> 25 [size =\"6483968\"]\n  6 -> 31 [size =\"6483968\"]\n  6 -> 33 [size =\"6483968\"]\n  7 [size=\"14487552\", alpha=\"0.05\", expect_size=\"7243776\"] \n  7 -> 18 [size =\"7243776\"]\n  7 -> 20 [size =\"7243776\"]\n  7 -> 25 [size =\"7243776\"]\n  7 -> 28 [size =\"7243776\"]\n  7 -> 29 [size =\"7243776\"]\n  7 -> 30 [size =\"7243776\"]\n  7 -> 32 [size =\"7243776\"]\n  7 -> 33 [size =\"7243776\"]\n  7 -> 34 [size =\"7243776\"]\n  7 -> 36 [size =\"7243776\"]\n  8 [size=\"87578624\", alpha=\"0.09\", expect_size=\"43789312\"] \n  8 -> 20 [size =\"43789312\"]\n  8 -> 21 [size =\"43789312\"]\n  8 -> 28 [size =\"43789312\"]\n  8 -> 29 [size =\"43789312\"]\n  8 -> 30 [size =\"43789312\"]\n  8 -> 33 [size =\"43789312\"]\n  8 -> 34 [size =\"43789312\"]\n  8 -> 35 [size =\"43789312\"]\n  9 [size=\"50542592\", alpha=\"0.05\", expect_size=\"25271296\"] \n  9 -> 21 [size =\"25271296\"]\n  9 -> 24 [size =\"25271296\"]\n  9 -> 25 [size =\"25271296\"]\n  9 -> 26 [size =\"25271296\"]\n  9 -> 28 [size =\"25271296\"]\n  9 -> 29 [size =\"25271296\"]\n  9 -> 30 [size =\"25271296\"]\n  9 -> 31 [size =\"25271296\"]\n  10 [size=\"43247616\", alpha=\"0.03\", expect_size=\"21623808\"] \n  10 -> 16 [size =\"21623808\"]\n  10 -> 24 [size =\"21623808\"]\n  10 -> 25 [size =\"21623808\"]\n  10 -> 34 [size =\"21623808\"]\n  10 -> 36 [size =\"21623808\"]\n  11 [size=\"38488064\", alpha=\"0.07\", expect_size=\"19244032\"] \n  11 -> 16 [size =\"19244032\"]\n  11 -> 17 [size =\"19244032\"]\n  11 -> 25 [size =\"19244032\"]\n  11 -> 27 [size =\"19244032\"]\n  11 -> 29 [size =\"19244032\"]\n  11 -> 30 [size =\"19244032\"]\n  11 -> 34 [size =\"19244032\"]\n  12 [size=\"89006080\", alpha=\"0.02\", expect_size=\"44503040\"] \n  12 -> 16 [size =\"44503040\"]\n  12 -> 17 [size =\"44503040\"]\n  12 -> 21 [size =\"44503040\"]\n  12 -> 23 [size =\"44503040\"]\n  12 -> 24 [size =\"44503040\"]\n  12 -> 25 [size =\"44503040\"]\n  12 -> 27 [size =\"44503040\"]\n  12 -> 28 [size =\"44503040\"]\n  12 -> 29 [size =\"44503040\"]\n  12 -> 30 [size =\"44503040\"]\n  12 -> 33 [size =\"44503040\"]\n  12 -> 34 [size =\"44503040\"]\n  12 -> 35 [size =\"44503040\"]\n  12 -> 36 [size =\"44503040\"]\n  13 [size=\"17981440\", alpha=\"0.06\", expect_size=\"8990720\"] \n  13 -> 16 [size =\"8990720\"]\n  13 -> 17 [size =\"8990720\"]\n  13 -> 23 [size =\"8990720\"]\n  13 -> 24 [size =\"8990720\"]\n  13 -> 24 [size =\"8990720\"]\n  13 -> 25 [size =\"8990720\"]\n  13 -> 28 [size =\"8990720\"]\n  13 -> 30 [size =\"8990720\"]\n  13 -> 32 [size =\"8990720\"]\n  13 -> 33 [size =\"8990720\"]\n  13 -> 34 [size =\"8990720\"]\n  13 -> 36 [size =\"8990720\"]\n  14 [size=\"25278464\", alpha=\"0.15\", expect_size=\"12639232\"] \n  14 -> 16 [size =\"12639232\"]\n  14 -> 17 [size =\"12639232\"]\n  14 -> 23 [size =\"12639232\"]\n  14 -> 24 [size =\"12639232\"]\n  14 -> 28 [size =\"12639232\"]\n  14 -> 29 [size =\"12639232\"]\n  14 -> 32 [size =\"12639232\"]\n  14 -> 34 [size =\"12639232\"]\n  15 [size=\"41076736\", alpha=\"0.06\", expect_size=\"20538368\"] \n  15 -> 17 [size =\"20538368\"]\n  15 -> 21 [size =\"20538368\"]\n  15 -> 23 [size =\"20538368\"]\n  15 -> 24 [size =\"20538368\"]\n  15 -> 28 [size =\"20538368\"]\n  15 -> 30 [size =\"20538368\"]\n  15 -> 33 [size =\"20538368\"]\n  15 -> 36 [size =\"20538368\"]\n  16 [size=\"11530240\", alpha=\"0.15\", expect_size=\"5765120\"] \n  16 -> 39 [size =\"5765120\"]\n  16 -> 44 [size =\"5765120\"]\n  16 -> 46 [size =\"5765120\"]\n  16 -> 47 [size =\"5765120\"]\n  16 -> 49 [size =\"5765120\"]\n  17 [size=\"35409920\", alpha=\"0.19\", expect_size=\"17704960\"] \n  17 -> 37 [size =\"17704960\"]\n  17 -> 39 [size =\"17704960\"]\n  17 -> 43 [size =\"17704960\"]\n  17 -> 45 [size =\"17704960\"]\n  17 -> 46 [size =\"17704960\"]\n  17 -> 47 [size =\"17704960\"]\n  17 -> 49 [size =\"17704960\"]\n  18 [size=\"60571648\", alpha=\"0.04\", expect_size=\"30285824\"] \n  18 -> 45 [size =\"30285824\"]\n  18 -> 46 [size =\"30285824\"]\n  18 -> 47 [size =\"30285824\"]\n  18 -> 49 [size =\"30285824\"]\n  18 -> 50 [size =\"30285824\"]\n  19 [size=\"103692288\", alpha=\"0.11\", expect_size=\"51846144\"] \n  19 -> 40 [size =\"51846144\"]\n  19 -> 45 [size =\"51846144\"]\n  19 -> 46 [size =\"51846144\"]\n  19 -> 48 [size =\"51846144\"]\n  19 -> 49 [size =\"51846144\"]\n  20 [size=\"31893504\", alpha=\"0.08\", expect_size=\"15946752\"] \n  20 -> 39 [size =\"15946752\"]\n  20 -> 45 [size =\"15946752\"]\n  20 -> 46 [size =\"15946752\"]\n  20 -> 49 [size =\"15946752\"]\n  21 [size=\"46698496\", alpha=\"0.06\", expect_size=\"23349248\"] \n  21 -> 38 [size =\"23349248\"]\n  21 -> 39 [size =\"23349248\"]\n  21 -> 48 [size =\"23349248\"]\n  21 -> 49 [size =\"23349248\"]\n  21 -> 50 [size =\"23349248\"]\n  22 [size=\"79898624\", alpha=\"0.18\", expect_size=\"39949312\"] \n  22 -> 41 [size =\"39949312\"]\n  22 -> 44 [size =\"39949312\"]\n  22 -> 46 [size =\"39949312\"]\n  22 -> 47 [size =\"39949312\"]\n  22 -> 49 [size =\"39949312\"]\n  23 [size=\"89362432\", alpha=\"0.15\", expect_size=\"44681216\"] \n  23 -> 37 [size =\"44681216\"]\n  23 -> 39 [size =\"44681216\"]\n  23 -> 42 [size =\"44681216\"]\n  23 -> 50 [size =\"44681216\"]\n  24 [size=\"24201216\", alpha=\"0.07\", expect_size=\"12100608\"] \n  24 -> 37 [size =\"12100608\"]\n  24 -> 38 [size =\"12100608\"]\n  24 -> 39 [size =\"12100608\"]\n  24 -> 43 [size =\"12100608\"]\n  24 -> 44 [size =\"12100608\"]\n  25 [size=\"94910464\", alpha=\"0.19\", expect_size=\"47455232\"] \n  25 -> 37 [size =\"47455232\"]\n  25 -> 38 [size =\"47455232\"]\n  25 -> 44 [size =\"47455232\"]\n  25 -> 45 [size =\"47455232\"]\n  25 -> 46 [size =\"47455232\"]\n  26 [size=\"29816832\", alpha=\"0.12\", expect_size=\"14908416\"] \n  26 -> 37 [size =\"14908416\"]\n  26 -> 38 [size =\"14908416\"]\n  26 -> 44 [size =\"14908416\"]\n  26 -> 45 [size =\"14908416\"]\n  26 -> 46 [size =\"14908416\"]\n  26 -> 49 [size =\"14908416\"]\n  27 [size=\"100495360\", alpha=\"0.05\", expect_size=\"50247680\"] \n  27 -> 37 [size =\"50247680\"]\n  27 -> 38 [size =\"50247680\"]\n  27 -> 39 [size =\"50247680\"]\n  27 -> 49 [size =\"50247680\"]\n  28 [size=\"94806016\", alpha=\"0.14\", expect_size=\"47403008\"] \n  28 -> 37 [size =\"47403008\"]\n  28 -> 38 [size =\"47403008\"]\n  28 -> 44 [size =\"47403008\"]\n  28 -> 50 [size =\"47403008\"]\n  29 [size=\"18866176\", alpha=\"0.13\", expect_size=\"9433088\"] \n  29 -> 37 [size =\"9433088\"]\n  29 -> 38 [size =\"9433088\"]\n  29 -> 39 [size =\"9433088\"]\n  29 -> 46 [size =\"9433088\"]\n  29 -> 49 [size =\"9433088\"]\n  30 [size=\"69482496\", alpha=\"0.18\", expect_size=\"34741248\"] \n  30 -> 37 [size =\"34741248\"]\n  30 -> 38 [size =\"34741248\"]\n  30 -> 39 [size =\"34741248\"]\n  30 -> 47 [size =\"34741248\"]\n  31 [size=\"14659584\", alpha=\"0.08\", expect_size=\"7329792\"] \n  31 -> 38 [size =\"7329792\"]\n  31 -> 38 [size =\"7329792\"]\n  31 -> 39 [size =\"7329792\"]\n  31 -> 45 [size =\"7329792\"]\n  31 -> 46 [size =\"7329792\"]\n  31 -> 47 [size =\"7329792\"]\n  31 -> 49 [size =\"7329792\"]\n  32 [size=\"41836544\", alpha=\"0.16\", expect_size=\"20918272\"] \n  32 -> 37 [size =\"20918272\"]\n  32 -> 38 [size =\"20918272\"]\n  32 -> 39 [size =\"20918272\"]\n  32 -> 43 [size =\"20918272\"]\n  32 -> 47 [size =\"20918272\"]\n  32 -> 47 [size =\"20918272\"]\n  33 [size=\"30932992\", alpha=\"0.05\", expect_size=\"15466496\"] \n  33 -> 37 [size =\"15466496\"]\n  33 -> 38 [size =\"15466496\"]\n  33 -> 39 [size =\"15466496\"]\n  33 -> 43 [size =\"15466496\"]\n  33 -> 45 [size =\"15466496\"]\n  33 -> 46 [size =\"15466496\"]\n  33 -> 47 [size =\"15466496\"]\n  33 -> 50 [size =\"15466496\"]\n  34 [size=\"102553600\", alpha=\"0.17\", expect_size=\"51276800\"] \n  34 -> 37 [size =\"51276800\"]\n  34 -> 38 [size =\"51276800\"]\n  34 -> 39 [size =\"51276800\"]\n  34 -> 42 [size =\"51276800\"]\n  34 -> 43 [size =\"51276800\"]\n  34 -> 47 [size =\"51276800\"]\n  34 -> 47 [size =\"51276800\"]\n  35 [size=\"43204608\", alpha=\"0.16\", expect_size=\"21602304\"] \n  35 -> 38 [size =\"21602304\"]\n  35 -> 38 [size =\"21602304\"]\n  35 -> 39 [size =\"21602304\"]\n  35 -> 40 [size =\"21602304\"]\n  35 -> 43 [size =\"21602304\"]\n  35 -> 49 [size =\"21602304\"]\n  36 [size=\"39796736\", alpha=\"0.15\", expect_size=\"19898368\"] \n  36 -> 39 [size =\"19898368\"]\n  36 -> 46 [size =\"19898368\"]\n  37 [size=\"94814208\", alpha=\"0.20\", expect_size=\"47407104\"] \n  38 [size=\"23515136\", alpha=\"0.14\", expect_size=\"11757568\"] \n  39 [size=\"91740160\", alpha=\"0.09\", expect_size=\"45870080\"] \n  40 [size=\"56428544\", alpha=\"0.08\", expect_size=\"28214272\"] \n  41 [size=\"44718080\", alpha=\"0.15\", expect_size=\"22359040\"] \n  42 [size=\"84606976\", alpha=\"0.17\", expect_size=\"42303488\"] \n  43 [size=\"65878016\", alpha=\"0.15\", expect_size=\"32939008\"] \n  44 [size=\"90396672\", alpha=\"0.16\", expect_size=\"45198336\"] \n  45 [size=\"78585856\", alpha=\"0.15\", expect_size=\"39292928\"] \n  46 [size=\"61036544\", alpha=\"0.19\", expect_size=\"30518272\"] \n  47 [size=\"38793216\", alpha=\"0.01\", expect_size=\"19396608\"] \n  48 [size=\"36780032\", alpha=\"0.01\", expect_size=\"18390016\"] \n  49 [size=\"10713088\", alpha=\"0.03\", expect_size=\"5356544\"] \n  50 [size=\"53798912\", alpha=\"0.17\", expect_size=\"26899456\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.825.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125877760\", alpha=\"0.16\", expect_size=\"50351104\"] \n  1 -> 2 [size =\"50351104\"]\n  2 [size=\"18762240\", alpha=\"0.01\", expect_size=\"7504896\"] \n  2 -> 3 [size =\"7504896\"]\n  3 [size=\"102351360\", alpha=\"0.07\", expect_size=\"40940544\"] \n  3 -> 4 [size =\"40940544\"]\n  4 [size=\"104599040\", alpha=\"0.19\", expect_size=\"41839616\"] \n  4 -> 5 [size =\"41839616\"]\n  5 [size=\"78141440\", alpha=\"0.01\", expect_size=\"31256576\"] \n  5 -> 6 [size =\"31256576\"]\n  6 [size=\"125329920\", alpha=\"0.13\", expect_size=\"50131968\"] \n  6 -> 7 [size =\"50131968\"]\n  7 [size=\"48320000\", alpha=\"0.12\", expect_size=\"19328000\"] \n  7 -> 8 [size =\"19328000\"]\n  8 [size=\"82718720\", alpha=\"0.10\", expect_size=\"33087488\"] \n  8 -> 9 [size =\"33087488\"]\n  9 [size=\"121489920\", alpha=\"0.10\", expect_size=\"48595968\"] \n  9 -> 10 [size =\"48595968\"]\n  10 [size=\"30033920\", alpha=\"0.04\", expect_size=\"12013568\"] \n  10 -> 11 [size =\"12013568\"]\n  11 [size=\"104734720\", alpha=\"0.17\", expect_size=\"41893888\"] \n  11 -> 12 [size =\"41893888\"]\n  12 [size=\"78712320\", alpha=\"0.20\", expect_size=\"31484928\"] \n  12 -> 13 [size =\"31484928\"]\n  13 [size=\"84648960\", alpha=\"0.10\", expect_size=\"33859584\"] \n  13 -> 14 [size =\"33859584\"]\n  14 [size=\"127116800\", alpha=\"0.17\", expect_size=\"50846720\"] \n  14 -> 15 [size =\"50846720\"]\n  15 [size=\"119193600\", alpha=\"0.17\", expect_size=\"47677440\"] \n  15 -> 16 [size =\"47677440\"]\n  16 [size=\"126254080\", alpha=\"0.20\", expect_size=\"50501632\"] \n  16 -> 17 [size =\"50501632\"]\n  17 [size=\"86515200\", alpha=\"0.13\", expect_size=\"34606080\"] \n  17 -> 18 [size =\"34606080\"]\n  18 [size=\"42165760\", alpha=\"0.01\", expect_size=\"16866304\"] \n  18 -> 19 [size =\"16866304\"]\n  19 [size=\"99417600\", alpha=\"0.14\", expect_size=\"39767040\"] \n  19 -> 20 [size =\"39767040\"]\n  20 [size=\"40017920\", alpha=\"0.01\", expect_size=\"16007168\"] \n  20 -> 21 [size =\"16007168\"]\n  21 [size=\"66229760\", alpha=\"0.08\", expect_size=\"26491904\"] \n  21 -> 22 [size =\"26491904\"]\n  22 [size=\"47915520\", alpha=\"0.15\", expect_size=\"19166208\"] \n  22 -> 23 [size =\"19166208\"]\n  23 [size=\"44974080\", alpha=\"0.17\", expect_size=\"17989632\"] \n  23 -> 24 [size =\"17989632\"]\n  24 [size=\"101644800\", alpha=\"0.15\", expect_size=\"40657920\"] \n  24 -> 25 [size =\"40657920\"]\n  25 [size=\"84052480\", alpha=\"0.04\", expect_size=\"33620992\"] \n  25 -> 26 [size =\"33620992\"]\n  26 [size=\"63951360\", alpha=\"0.13\", expect_size=\"25580544\"] \n  26 -> 27 [size =\"25580544\"]\n  27 [size=\"61447680\", alpha=\"0.07\", expect_size=\"24579072\"] \n  27 -> 28 [size =\"24579072\"]\n  28 [size=\"18483200\", alpha=\"0.12\", expect_size=\"7393280\"] \n  28 -> 29 [size =\"7393280\"]\n  29 [size=\"21688320\", alpha=\"0.17\", expect_size=\"8675328\"] \n  29 -> 30 [size =\"8675328\"]\n  30 [size=\"103580160\", alpha=\"0.04\", expect_size=\"41432064\"] \n  30 -> 31 [size =\"41432064\"]\n  31 [size=\"110464000\", alpha=\"0.06\", expect_size=\"44185600\"] \n  31 -> 32 [size =\"44185600\"]\n  32 [size=\"37145600\", alpha=\"0.20\", expect_size=\"14858240\"] \n  32 -> 33 [size =\"14858240\"]\n  33 [size=\"125209600\", alpha=\"0.06\", expect_size=\"50083840\"] \n  33 -> 34 [size =\"50083840\"]\n  34 [size=\"110008320\", alpha=\"0.11\", expect_size=\"44003328\"] \n  34 -> 35 [size =\"44003328\"]\n  35 [size=\"83036160\", alpha=\"0.14\", expect_size=\"33214464\"] \n  35 -> 36 [size =\"33214464\"]\n  36 [size=\"109327360\", alpha=\"0.17\", expect_size=\"43730944\"] \n  36 -> 37 [size =\"43730944\"]\n  37 [size=\"65175040\", alpha=\"0.11\", expect_size=\"26070016\"] \n  37 -> 38 [size =\"26070016\"]\n  38 [size=\"103754240\", alpha=\"0.11\", expect_size=\"41501696\"] \n  38 -> 39 [size =\"41501696\"]\n  39 [size=\"58752000\", alpha=\"0.05\", expect_size=\"23500800\"] \n  39 -> 40 [size =\"23500800\"]\n  40 [size=\"38551040\", alpha=\"0.04\", expect_size=\"15420416\"] \n  40 -> 41 [size =\"15420416\"]\n  41 [size=\"60072960\", alpha=\"0.12\", expect_size=\"24029184\"] \n  41 -> 42 [size =\"24029184\"]\n  42 [size=\"96988160\", alpha=\"0.06\", expect_size=\"38795264\"] \n  42 -> 43 [size =\"38795264\"]\n  43 [size=\"96934400\", alpha=\"0.05\", expect_size=\"38773760\"] \n  43 -> 44 [size =\"38773760\"]\n  44 [size=\"13491200\", alpha=\"0.20\", expect_size=\"5396480\"] \n  44 -> 45 [size =\"5396480\"]\n  45 [size=\"78632960\", alpha=\"0.06\", expect_size=\"31453184\"] \n  45 -> 46 [size =\"31453184\"]\n  46 [size=\"44559360\", alpha=\"0.01\", expect_size=\"17823744\"] \n  46 -> 47 [size =\"17823744\"]\n  47 [size=\"24417280\", alpha=\"0.04\", expect_size=\"9766912\"] \n  47 -> 48 [size =\"9766912\"]\n  48 [size=\"91614720\", alpha=\"0.08\", expect_size=\"36645888\"] \n  48 -> 49 [size =\"36645888\"]\n  49 [size=\"39283200\", alpha=\"0.13\", expect_size=\"15713280\"] \n  49 -> 50 [size =\"15713280\"]\n  50 [size=\"71700480\", alpha=\"0.14\", expect_size=\"28680192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.826.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90852693\", alpha=\"0.05\", expect_size=\"27255808\"] \n  1 -> 13 [size =\"27255808\"]\n  2 [size=\"52292267\", alpha=\"0.13\", expect_size=\"15687680\"] \n  2 -> 9 [size =\"15687680\"]\n  2 -> 13 [size =\"15687680\"]\n  3 [size=\"116462933\", alpha=\"0.16\", expect_size=\"34938880\"] \n  3 -> 14 [size =\"34938880\"]\n  3 -> 15 [size =\"34938880\"]\n  4 [size=\"133608107\", alpha=\"0.02\", expect_size=\"40082432\"] \n  4 -> 9 [size =\"40082432\"]\n  4 -> 10 [size =\"40082432\"]\n  4 -> 14 [size =\"40082432\"]\n  4 -> 15 [size =\"40082432\"]\n  5 [size=\"23040000\", alpha=\"0.20\", expect_size=\"6912000\"] \n  5 -> 9 [size =\"6912000\"]\n  5 -> 10 [size =\"6912000\"]\n  5 -> 13 [size =\"6912000\"]\n  5 -> 14 [size =\"6912000\"]\n  5 -> 15 [size =\"6912000\"]\n  6 [size=\"55562240\", alpha=\"0.03\", expect_size=\"16668672\"] \n  6 -> 9 [size =\"16668672\"]\n  6 -> 10 [size =\"16668672\"]\n  6 -> 12 [size =\"16668672\"]\n  6 -> 14 [size =\"16668672\"]\n  6 -> 15 [size =\"16668672\"]\n  7 [size=\"62262613\", alpha=\"0.04\", expect_size=\"18678784\"] \n  7 -> 10 [size =\"18678784\"]\n  7 -> 11 [size =\"18678784\"]\n  7 -> 12 [size =\"18678784\"]\n  7 -> 13 [size =\"18678784\"]\n  7 -> 14 [size =\"18678784\"]\n  8 [size=\"93050880\", alpha=\"0.03\", expect_size=\"27915264\"] \n  8 -> 12 [size =\"27915264\"]\n  8 -> 13 [size =\"27915264\"]\n  8 -> 15 [size =\"27915264\"]\n  9 [size=\"24862720\", alpha=\"0.09\", expect_size=\"7458816\"] \n  9 -> 16 [size =\"7458816\"]\n  9 -> 21 [size =\"7458816\"]\n  9 -> 22 [size =\"7458816\"]\n  10 [size=\"170632533\", alpha=\"0.12\", expect_size=\"51189760\"] \n  10 -> 17 [size =\"51189760\"]\n  10 -> 18 [size =\"51189760\"]\n  11 [size=\"79950507\", alpha=\"0.14\", expect_size=\"23985152\"] \n  11 -> 16 [size =\"23985152\"]\n  12 [size=\"117845333\", alpha=\"0.01\", expect_size=\"35353600\"] \n  12 -> 19 [size =\"35353600\"]\n  12 -> 22 [size =\"35353600\"]\n  13 [size=\"61143040\", alpha=\"0.07\", expect_size=\"18342912\"] \n  13 -> 16 [size =\"18342912\"]\n  13 -> 18 [size =\"18342912\"]\n  14 [size=\"26333867\", alpha=\"0.03\", expect_size=\"7900160\"] \n  14 -> 18 [size =\"7900160\"]\n  14 -> 19 [size =\"7900160\"]\n  14 -> 20 [size =\"7900160\"]\n  14 -> 22 [size =\"7900160\"]\n  15 [size=\"38260053\", alpha=\"0.18\", expect_size=\"11478016\"] \n  15 -> 18 [size =\"11478016\"]\n  15 -> 20 [size =\"11478016\"]\n  15 -> 21 [size =\"11478016\"]\n  15 -> 22 [size =\"11478016\"]\n  16 [size=\"36700160\", alpha=\"0.13\", expect_size=\"11010048\"] \n  16 -> 26 [size =\"11010048\"]\n  16 -> 27 [size =\"11010048\"]\n  17 [size=\"61689173\", alpha=\"0.07\", expect_size=\"18506752\"] \n  17 -> 26 [size =\"18506752\"]\n  17 -> 27 [size =\"18506752\"]\n  18 [size=\"92340907\", alpha=\"0.13\", expect_size=\"27702272\"] \n  18 -> 24 [size =\"27702272\"]\n  18 -> 26 [size =\"27702272\"]\n  18 -> 28 [size =\"27702272\"]\n  19 [size=\"118667947\", alpha=\"0.12\", expect_size=\"35600384\"] \n  19 -> 24 [size =\"35600384\"]\n  19 -> 28 [size =\"35600384\"]\n  20 [size=\"29160107\", alpha=\"0.20\", expect_size=\"8748032\"] \n  20 -> 25 [size =\"8748032\"]\n  20 -> 27 [size =\"8748032\"]\n  21 [size=\"123392000\", alpha=\"0.16\", expect_size=\"37017600\"] \n  21 -> 25 [size =\"37017600\"]\n  21 -> 26 [size =\"37017600\"]\n  21 -> 27 [size =\"37017600\"]\n  22 [size=\"78066347\", alpha=\"0.18\", expect_size=\"23419904\"] \n  22 -> 23 [size =\"23419904\"]\n  22 -> 24 [size =\"23419904\"]\n  22 -> 25 [size =\"23419904\"]\n  22 -> 26 [size =\"23419904\"]\n  22 -> 27 [size =\"23419904\"]\n  23 [size=\"85995520\", alpha=\"0.12\", expect_size=\"25798656\"] \n  24 [size=\"143332693\", alpha=\"0.00\", expect_size=\"42999808\"] \n  24 -> 29 [size =\"42999808\"]\n  24 -> 30 [size =\"42999808\"]\n  24 -> 32 [size =\"42999808\"]\n  24 -> 33 [size =\"42999808\"]\n  24 -> 35 [size =\"42999808\"]\n  24 -> 36 [size =\"42999808\"]\n  25 [size=\"168222720\", alpha=\"0.10\", expect_size=\"50466816\"] \n  25 -> 30 [size =\"50466816\"]\n  25 -> 33 [size =\"50466816\"]\n  26 [size=\"154296320\", alpha=\"0.04\", expect_size=\"46288896\"] \n  26 -> 30 [size =\"46288896\"]\n  26 -> 31 [size =\"46288896\"]\n  26 -> 33 [size =\"46288896\"]\n  26 -> 36 [size =\"46288896\"]\n  27 [size=\"97648640\", alpha=\"0.04\", expect_size=\"29294592\"] \n  27 -> 30 [size =\"29294592\"]\n  27 -> 31 [size =\"29294592\"]\n  27 -> 35 [size =\"29294592\"]\n  28 [size=\"150865920\", alpha=\"0.13\", expect_size=\"45259776\"] \n  28 -> 29 [size =\"45259776\"]\n  28 -> 31 [size =\"45259776\"]\n  28 -> 34 [size =\"45259776\"]\n  29 [size=\"94283093\", alpha=\"0.04\", expect_size=\"28284928\"] \n  29 -> 37 [size =\"28284928\"]\n  29 -> 38 [size =\"28284928\"]\n  29 -> 39 [size =\"28284928\"]\n  29 -> 41 [size =\"28284928\"]\n  29 -> 42 [size =\"28284928\"]\n  30 [size=\"31450453\", alpha=\"0.14\", expect_size=\"9435136\"] \n  30 -> 40 [size =\"9435136\"]\n  30 -> 41 [size =\"9435136\"]\n  30 -> 42 [size =\"9435136\"]\n  31 [size=\"27856213\", alpha=\"0.11\", expect_size=\"8356864\"] \n  31 -> 37 [size =\"8356864\"]\n  31 -> 38 [size =\"8356864\"]\n  31 -> 40 [size =\"8356864\"]\n  31 -> 42 [size =\"8356864\"]\n  32 [size=\"156869973\", alpha=\"0.02\", expect_size=\"47060992\"] \n  32 -> 39 [size =\"47060992\"]\n  32 -> 41 [size =\"47060992\"]\n  32 -> 42 [size =\"47060992\"]\n  33 [size=\"138741760\", alpha=\"0.18\", expect_size=\"41622528\"] \n  33 -> 38 [size =\"41622528\"]\n  33 -> 39 [size =\"41622528\"]\n  33 -> 41 [size =\"41622528\"]\n  34 [size=\"72458240\", alpha=\"0.15\", expect_size=\"21737472\"] \n  34 -> 40 [size =\"21737472\"]\n  35 [size=\"74151253\", alpha=\"0.15\", expect_size=\"22245376\"] \n  35 -> 37 [size =\"22245376\"]\n  35 -> 39 [size =\"22245376\"]\n  35 -> 41 [size =\"22245376\"]\n  36 [size=\"149387947\", alpha=\"0.18\", expect_size=\"44816384\"] \n  36 -> 37 [size =\"44816384\"]\n  36 -> 39 [size =\"44816384\"]\n  37 [size=\"21681493\", alpha=\"0.06\", expect_size=\"6504448\"] \n  37 -> 43 [size =\"6504448\"]\n  38 [size=\"50391040\", alpha=\"0.03\", expect_size=\"15117312\"] \n  38 -> 44 [size =\"15117312\"]\n  39 [size=\"153811627\", alpha=\"0.14\", expect_size=\"46143488\"] \n  39 -> 43 [size =\"46143488\"]\n  39 -> 44 [size =\"46143488\"]\n  39 -> 47 [size =\"46143488\"]\n  40 [size=\"24753493\", alpha=\"0.06\", expect_size=\"7426048\"] \n  40 -> 45 [size =\"7426048\"]\n  40 -> 46 [size =\"7426048\"]\n  40 -> 47 [size =\"7426048\"]\n  41 [size=\"130949120\", alpha=\"0.11\", expect_size=\"39284736\"] \n  41 -> 43 [size =\"39284736\"]\n  41 -> 45 [size =\"39284736\"]\n  42 [size=\"63016960\", alpha=\"0.04\", expect_size=\"18905088\"] \n  42 -> 45 [size =\"18905088\"]\n  43 [size=\"78615893\", alpha=\"0.06\", expect_size=\"23584768\"] \n  43 -> 50 [size =\"23584768\"]\n  44 [size=\"64122880\", alpha=\"0.04\", expect_size=\"19236864\"] \n  44 -> 48 [size =\"19236864\"]\n  45 [size=\"28402347\", alpha=\"0.00\", expect_size=\"8520704\"] \n  45 -> 50 [size =\"8520704\"]\n  46 [size=\"149521067\", alpha=\"0.15\", expect_size=\"44856320\"] \n  46 -> 48 [size =\"44856320\"]\n  46 -> 49 [size =\"44856320\"]\n  47 [size=\"132140373\", alpha=\"0.19\", expect_size=\"39642112\"] \n  47 -> 50 [size =\"39642112\"]\n  48 [size=\"20466347\", alpha=\"0.01\", expect_size=\"6139904\"] \n  49 [size=\"46656853\", alpha=\"0.12\", expect_size=\"13997056\"] \n  50 [size=\"154613760\", alpha=\"0.05\", expect_size=\"46384128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.827.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42144427\", alpha=\"0.01\", expect_size=\"12643328\"] \n  1 -> 2 [size =\"12643328\"]\n  2 [size=\"55715840\", alpha=\"0.19\", expect_size=\"16714752\"] \n  2 -> 3 [size =\"16714752\"]\n  3 [size=\"147213653\", alpha=\"0.14\", expect_size=\"44164096\"] \n  3 -> 4 [size =\"44164096\"]\n  4 [size=\"61323947\", alpha=\"0.17\", expect_size=\"18397184\"] \n  4 -> 5 [size =\"18397184\"]\n  5 [size=\"139533653\", alpha=\"0.00\", expect_size=\"41860096\"] \n  5 -> 6 [size =\"41860096\"]\n  6 [size=\"94842880\", alpha=\"0.06\", expect_size=\"28452864\"] \n  6 -> 7 [size =\"28452864\"]\n  7 [size=\"88674987\", alpha=\"0.08\", expect_size=\"26602496\"] \n  7 -> 8 [size =\"26602496\"]\n  8 [size=\"60344320\", alpha=\"0.05\", expect_size=\"18103296\"] \n  8 -> 9 [size =\"18103296\"]\n  9 [size=\"115906560\", alpha=\"0.04\", expect_size=\"34771968\"] \n  9 -> 10 [size =\"34771968\"]\n  10 [size=\"42827093\", alpha=\"0.03\", expect_size=\"12848128\"] \n  10 -> 11 [size =\"12848128\"]\n  11 [size=\"26460160\", alpha=\"0.17\", expect_size=\"7938048\"] \n  11 -> 12 [size =\"7938048\"]\n  12 [size=\"33809067\", alpha=\"0.08\", expect_size=\"10142720\"] \n  12 -> 13 [size =\"10142720\"]\n  13 [size=\"25330347\", alpha=\"0.17\", expect_size=\"7599104\"] \n  13 -> 14 [size =\"7599104\"]\n  14 [size=\"137021440\", alpha=\"0.14\", expect_size=\"41106432\"] \n  14 -> 15 [size =\"41106432\"]\n  15 [size=\"111144960\", alpha=\"0.05\", expect_size=\"33343488\"] \n  15 -> 16 [size =\"33343488\"]\n  16 [size=\"114725547\", alpha=\"0.15\", expect_size=\"34417664\"] \n  16 -> 17 [size =\"34417664\"]\n  17 [size=\"159368533\", alpha=\"0.19\", expect_size=\"47810560\"] \n  17 -> 18 [size =\"47810560\"]\n  18 [size=\"68478293\", alpha=\"0.04\", expect_size=\"20543488\"] \n  18 -> 19 [size =\"20543488\"]\n  19 [size=\"109499733\", alpha=\"0.04\", expect_size=\"32849920\"] \n  19 -> 20 [size =\"32849920\"]\n  20 [size=\"140332373\", alpha=\"0.17\", expect_size=\"42099712\"] \n  20 -> 21 [size =\"42099712\"]\n  21 [size=\"164474880\", alpha=\"0.13\", expect_size=\"49342464\"] \n  21 -> 22 [size =\"49342464\"]\n  22 [size=\"141390507\", alpha=\"0.13\", expect_size=\"42417152\"] \n  22 -> 23 [size =\"42417152\"]\n  23 [size=\"46479360\", alpha=\"0.10\", expect_size=\"13943808\"] \n  23 -> 24 [size =\"13943808\"]\n  24 [size=\"21316267\", alpha=\"0.13\", expect_size=\"6394880\"] \n  24 -> 25 [size =\"6394880\"]\n  25 [size=\"129716907\", alpha=\"0.11\", expect_size=\"38915072\"] \n  25 -> 26 [size =\"38915072\"]\n  26 [size=\"168533333\", alpha=\"0.19\", expect_size=\"50560000\"] \n  26 -> 27 [size =\"50560000\"]\n  27 [size=\"127351467\", alpha=\"0.16\", expect_size=\"38205440\"] \n  27 -> 28 [size =\"38205440\"]\n  28 [size=\"122221227\", alpha=\"0.18\", expect_size=\"36666368\"] \n  28 -> 29 [size =\"36666368\"]\n  29 [size=\"153436160\", alpha=\"0.13\", expect_size=\"46030848\"] \n  29 -> 30 [size =\"46030848\"]\n  30 [size=\"30692693\", alpha=\"0.12\", expect_size=\"9207808\"] \n  30 -> 31 [size =\"9207808\"]\n  31 [size=\"163792213\", alpha=\"0.11\", expect_size=\"49137664\"] \n  31 -> 32 [size =\"49137664\"]\n  32 [size=\"105547093\", alpha=\"0.12\", expect_size=\"31664128\"] \n  32 -> 33 [size =\"31664128\"]\n  33 [size=\"51479893\", alpha=\"0.15\", expect_size=\"15443968\"] \n  33 -> 34 [size =\"15443968\"]\n  34 [size=\"131331413\", alpha=\"0.12\", expect_size=\"39399424\"] \n  34 -> 35 [size =\"39399424\"]\n  35 [size=\"74379947\", alpha=\"0.02\", expect_size=\"22313984\"] \n  35 -> 36 [size =\"22313984\"]\n  36 [size=\"159969280\", alpha=\"0.04\", expect_size=\"47990784\"] \n  36 -> 37 [size =\"47990784\"]\n  37 [size=\"150900053\", alpha=\"0.04\", expect_size=\"45270016\"] \n  37 -> 38 [size =\"45270016\"]\n  38 [size=\"118364160\", alpha=\"0.10\", expect_size=\"35509248\"] \n  38 -> 39 [size =\"35509248\"]\n  39 [size=\"105236480\", alpha=\"0.08\", expect_size=\"31570944\"] \n  39 -> 40 [size =\"31570944\"]\n  40 [size=\"52660907\", alpha=\"0.02\", expect_size=\"15798272\"] \n  40 -> 41 [size =\"15798272\"]\n  41 [size=\"143274667\", alpha=\"0.15\", expect_size=\"42982400\"] \n  41 -> 42 [size =\"42982400\"]\n  42 [size=\"71492267\", alpha=\"0.03\", expect_size=\"21447680\"] \n  42 -> 43 [size =\"21447680\"]\n  43 [size=\"168222720\", alpha=\"0.15\", expect_size=\"50466816\"] \n  43 -> 44 [size =\"50466816\"]\n  44 [size=\"126743893\", alpha=\"0.07\", expect_size=\"38023168\"] \n  44 -> 45 [size =\"38023168\"]\n  45 [size=\"66611200\", alpha=\"0.14\", expect_size=\"19983360\"] \n  45 -> 46 [size =\"19983360\"]\n  46 [size=\"81489920\", alpha=\"0.20\", expect_size=\"24446976\"] \n  46 -> 47 [size =\"24446976\"]\n  47 [size=\"111342933\", alpha=\"0.19\", expect_size=\"33402880\"] \n  47 -> 48 [size =\"33402880\"]\n  48 [size=\"140782933\", alpha=\"0.12\", expect_size=\"42234880\"] \n  48 -> 49 [size =\"42234880\"]\n  49 [size=\"63528960\", alpha=\"0.03\", expect_size=\"19058688\"] \n  49 -> 50 [size =\"19058688\"]\n  50 [size=\"128887467\", alpha=\"0.15\", expect_size=\"38666240\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.828.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12517376\", alpha=\"0.08\", expect_size=\"6258688\"] \n  1 -> 13 [size =\"6258688\"]\n  1 -> 14 [size =\"6258688\"]\n  1 -> 15 [size =\"6258688\"]\n  1 -> 17 [size =\"6258688\"]\n  1 -> 18 [size =\"6258688\"]\n  1 -> 22 [size =\"6258688\"]\n  1 -> 23 [size =\"6258688\"]\n  1 -> 26 [size =\"6258688\"]\n  2 [size=\"57225216\", alpha=\"0.06\", expect_size=\"28612608\"] \n  2 -> 12 [size =\"28612608\"]\n  2 -> 17 [size =\"28612608\"]\n  2 -> 18 [size =\"28612608\"]\n  2 -> 26 [size =\"28612608\"]\n  3 [size=\"60729344\", alpha=\"0.18\", expect_size=\"30364672\"] \n  3 -> 12 [size =\"30364672\"]\n  3 -> 13 [size =\"30364672\"]\n  3 -> 15 [size =\"30364672\"]\n  3 -> 17 [size =\"30364672\"]\n  3 -> 18 [size =\"30364672\"]\n  3 -> 21 [size =\"30364672\"]\n  3 -> 23 [size =\"30364672\"]\n  3 -> 26 [size =\"30364672\"]\n  4 [size=\"18905088\", alpha=\"0.14\", expect_size=\"9452544\"] \n  4 -> 12 [size =\"9452544\"]\n  4 -> 13 [size =\"9452544\"]\n  4 -> 18 [size =\"9452544\"]\n  4 -> 23 [size =\"9452544\"]\n  4 -> 24 [size =\"9452544\"]\n  4 -> 26 [size =\"9452544\"]\n  4 -> 27 [size =\"9452544\"]\n  5 [size=\"63510528\", alpha=\"0.08\", expect_size=\"31755264\"] \n  5 -> 14 [size =\"31755264\"]\n  5 -> 17 [size =\"31755264\"]\n  5 -> 18 [size =\"31755264\"]\n  5 -> 19 [size =\"31755264\"]\n  5 -> 23 [size =\"31755264\"]\n  5 -> 24 [size =\"31755264\"]\n  5 -> 25 [size =\"31755264\"]\n  6 [size=\"95401984\", alpha=\"0.00\", expect_size=\"47700992\"] \n  6 -> 12 [size =\"47700992\"]\n  6 -> 17 [size =\"47700992\"]\n  6 -> 19 [size =\"47700992\"]\n  6 -> 24 [size =\"47700992\"]\n  6 -> 25 [size =\"47700992\"]\n  7 [size=\"20002816\", alpha=\"0.01\", expect_size=\"10001408\"] \n  7 -> 13 [size =\"10001408\"]\n  7 -> 16 [size =\"10001408\"]\n  7 -> 20 [size =\"10001408\"]\n  7 -> 25 [size =\"10001408\"]\n  8 [size=\"42311680\", alpha=\"0.03\", expect_size=\"21155840\"] \n  8 -> 13 [size =\"21155840\"]\n  8 -> 15 [size =\"21155840\"]\n  8 -> 16 [size =\"21155840\"]\n  8 -> 17 [size =\"21155840\"]\n  8 -> 24 [size =\"21155840\"]\n  8 -> 25 [size =\"21155840\"]\n  8 -> 27 [size =\"21155840\"]\n  9 [size=\"62769152\", alpha=\"0.09\", expect_size=\"31384576\"] \n  9 -> 14 [size =\"31384576\"]\n  9 -> 15 [size =\"31384576\"]\n  9 -> 19 [size =\"31384576\"]\n  10 [size=\"28102656\", alpha=\"0.16\", expect_size=\"14051328\"] \n  10 -> 14 [size =\"14051328\"]\n  10 -> 24 [size =\"14051328\"]\n  11 [size=\"84525056\", alpha=\"0.05\", expect_size=\"42262528\"] \n  11 -> 12 [size =\"42262528\"]\n  11 -> 14 [size =\"42262528\"]\n  11 -> 15 [size =\"42262528\"]\n  12 [size=\"27877376\", alpha=\"0.06\", expect_size=\"13938688\"] \n  12 -> 30 [size =\"13938688\"]\n  12 -> 33 [size =\"13938688\"]\n  13 [size=\"55218176\", alpha=\"0.03\", expect_size=\"27609088\"] \n  13 -> 28 [size =\"27609088\"]\n  13 -> 29 [size =\"27609088\"]\n  13 -> 31 [size =\"27609088\"]\n  14 [size=\"45789184\", alpha=\"0.15\", expect_size=\"22894592\"] \n  14 -> 28 [size =\"22894592\"]\n  14 -> 35 [size =\"22894592\"]\n  15 [size=\"16431104\", alpha=\"0.11\", expect_size=\"8215552\"] \n  15 -> 30 [size =\"8215552\"]\n  15 -> 33 [size =\"8215552\"]\n  15 -> 35 [size =\"8215552\"]\n  16 [size=\"53022720\", alpha=\"0.06\", expect_size=\"26511360\"] \n  16 -> 33 [size =\"26511360\"]\n  17 [size=\"53731328\", alpha=\"0.14\", expect_size=\"26865664\"] \n  17 -> 30 [size =\"26865664\"]\n  17 -> 37 [size =\"26865664\"]\n  18 [size=\"59346944\", alpha=\"0.07\", expect_size=\"29673472\"] \n  18 -> 28 [size =\"29673472\"]\n  18 -> 30 [size =\"29673472\"]\n  18 -> 32 [size =\"29673472\"]\n  18 -> 35 [size =\"29673472\"]\n  18 -> 37 [size =\"29673472\"]\n  19 [size=\"74684416\", alpha=\"0.15\", expect_size=\"37342208\"] \n  19 -> 34 [size =\"37342208\"]\n  19 -> 37 [size =\"37342208\"]\n  20 [size=\"20684800\", alpha=\"0.06\", expect_size=\"10342400\"] \n  20 -> 29 [size =\"10342400\"]\n  20 -> 31 [size =\"10342400\"]\n  20 -> 32 [size =\"10342400\"]\n  20 -> 36 [size =\"10342400\"]\n  20 -> 37 [size =\"10342400\"]\n  21 [size=\"95516672\", alpha=\"0.18\", expect_size=\"47758336\"] \n  21 -> 37 [size =\"47758336\"]\n  22 [size=\"26390528\", alpha=\"0.20\", expect_size=\"13195264\"] \n  22 -> 30 [size =\"13195264\"]\n  22 -> 31 [size =\"13195264\"]\n  22 -> 37 [size =\"13195264\"]\n  23 [size=\"55183360\", alpha=\"0.12\", expect_size=\"27591680\"] \n  23 -> 30 [size =\"27591680\"]\n  23 -> 31 [size =\"27591680\"]\n  23 -> 37 [size =\"27591680\"]\n  24 [size=\"69537792\", alpha=\"0.06\", expect_size=\"34768896\"] \n  24 -> 32 [size =\"34768896\"]\n  24 -> 34 [size =\"34768896\"]\n  24 -> 35 [size =\"34768896\"]\n  24 -> 37 [size =\"34768896\"]\n  25 [size=\"47513600\", alpha=\"0.11\", expect_size=\"23756800\"] \n  25 -> 29 [size =\"23756800\"]\n  25 -> 30 [size =\"23756800\"]\n  26 [size=\"97468416\", alpha=\"0.14\", expect_size=\"48734208\"] \n  26 -> 28 [size =\"48734208\"]\n  26 -> 29 [size =\"48734208\"]\n  26 -> 33 [size =\"48734208\"]\n  27 [size=\"32098304\", alpha=\"0.19\", expect_size=\"16049152\"] \n  27 -> 35 [size =\"16049152\"]\n  28 [size=\"97030144\", alpha=\"0.11\", expect_size=\"48515072\"] \n  28 -> 42 [size =\"48515072\"]\n  28 -> 43 [size =\"48515072\"]\n  28 -> 46 [size =\"48515072\"]\n  28 -> 49 [size =\"48515072\"]\n  29 [size=\"37511168\", alpha=\"0.14\", expect_size=\"18755584\"] \n  29 -> 40 [size =\"18755584\"]\n  29 -> 46 [size =\"18755584\"]\n  30 [size=\"14628864\", alpha=\"0.01\", expect_size=\"7314432\"] \n  30 -> 40 [size =\"7314432\"]\n  30 -> 42 [size =\"7314432\"]\n  30 -> 48 [size =\"7314432\"]\n  31 [size=\"44662784\", alpha=\"0.04\", expect_size=\"22331392\"] \n  31 -> 40 [size =\"22331392\"]\n  32 [size=\"35276800\", alpha=\"0.10\", expect_size=\"17638400\"] \n  32 -> 38 [size =\"17638400\"]\n  32 -> 40 [size =\"17638400\"]\n  32 -> 41 [size =\"17638400\"]\n  32 -> 42 [size =\"17638400\"]\n  32 -> 44 [size =\"17638400\"]\n  32 -> 46 [size =\"17638400\"]\n  32 -> 48 [size =\"17638400\"]\n  33 [size=\"33210368\", alpha=\"0.06\", expect_size=\"16605184\"] \n  33 -> 39 [size =\"16605184\"]\n  33 -> 43 [size =\"16605184\"]\n  33 -> 44 [size =\"16605184\"]\n  33 -> 47 [size =\"16605184\"]\n  34 [size=\"88707072\", alpha=\"0.09\", expect_size=\"44353536\"] \n  34 -> 41 [size =\"44353536\"]\n  34 -> 43 [size =\"44353536\"]\n  34 -> 49 [size =\"44353536\"]\n  35 [size=\"21440512\", alpha=\"0.13\", expect_size=\"10720256\"] \n  35 -> 41 [size =\"10720256\"]\n  35 -> 46 [size =\"10720256\"]\n  35 -> 49 [size =\"10720256\"]\n  36 [size=\"73183232\", alpha=\"0.06\", expect_size=\"36591616\"] \n  36 -> 42 [size =\"36591616\"]\n  36 -> 43 [size =\"36591616\"]\n  36 -> 44 [size =\"36591616\"]\n  37 [size=\"45735936\", alpha=\"0.09\", expect_size=\"22867968\"] \n  37 -> 41 [size =\"22867968\"]\n  37 -> 45 [size =\"22867968\"]\n  38 [size=\"42987520\", alpha=\"0.02\", expect_size=\"21493760\"] \n  38 -> 50 [size =\"21493760\"]\n  39 [size=\"96765952\", alpha=\"0.09\", expect_size=\"48382976\"] \n  39 -> 50 [size =\"48382976\"]\n  40 [size=\"70612992\", alpha=\"0.17\", expect_size=\"35306496\"] \n  40 -> 50 [size =\"35306496\"]\n  41 [size=\"76517376\", alpha=\"0.04\", expect_size=\"38258688\"] \n  42 [size=\"94150656\", alpha=\"0.14\", expect_size=\"47075328\"] \n  43 [size=\"46532608\", alpha=\"0.14\", expect_size=\"23266304\"] \n  44 [size=\"72769536\", alpha=\"0.06\", expect_size=\"36384768\"] \n  45 [size=\"19421184\", alpha=\"0.06\", expect_size=\"9710592\"] \n  45 -> 50 [size =\"9710592\"]\n  46 [size=\"81178624\", alpha=\"0.04\", expect_size=\"40589312\"] \n  46 -> 50 [size =\"40589312\"]\n  47 [size=\"17467392\", alpha=\"0.07\", expect_size=\"8733696\"] \n  48 [size=\"60274688\", alpha=\"0.08\", expect_size=\"30137344\"] \n  49 [size=\"69720064\", alpha=\"0.15\", expect_size=\"34860032\"] \n  50 [size=\"15634432\", alpha=\"0.03\", expect_size=\"7817216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.829.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69314560\", alpha=\"0.18\", expect_size=\"34657280\"] \n  1 -> 2 [size =\"34657280\"]\n  2 [size=\"60170240\", alpha=\"0.14\", expect_size=\"30085120\"] \n  2 -> 3 [size =\"30085120\"]\n  3 [size=\"13529088\", alpha=\"0.15\", expect_size=\"6764544\"] \n  3 -> 4 [size =\"6764544\"]\n  4 [size=\"44900352\", alpha=\"0.07\", expect_size=\"22450176\"] \n  4 -> 5 [size =\"22450176\"]\n  5 [size=\"74246144\", alpha=\"0.15\", expect_size=\"37123072\"] \n  5 -> 6 [size =\"37123072\"]\n  6 [size=\"103694336\", alpha=\"0.01\", expect_size=\"51847168\"] \n  6 -> 7 [size =\"51847168\"]\n  7 [size=\"56834048\", alpha=\"0.20\", expect_size=\"28417024\"] \n  7 -> 8 [size =\"28417024\"]\n  8 [size=\"76097536\", alpha=\"0.16\", expect_size=\"38048768\"] \n  8 -> 9 [size =\"38048768\"]\n  9 [size=\"61577216\", alpha=\"0.03\", expect_size=\"30788608\"] \n  9 -> 10 [size =\"30788608\"]\n  10 [size=\"49391616\", alpha=\"0.01\", expect_size=\"24695808\"] \n  10 -> 11 [size =\"24695808\"]\n  11 [size=\"50262016\", alpha=\"0.01\", expect_size=\"25131008\"] \n  11 -> 12 [size =\"25131008\"]\n  12 [size=\"39204864\", alpha=\"0.07\", expect_size=\"19602432\"] \n  12 -> 13 [size =\"19602432\"]\n  13 [size=\"11612160\", alpha=\"0.07\", expect_size=\"5806080\"] \n  13 -> 14 [size =\"5806080\"]\n  14 [size=\"83509248\", alpha=\"0.12\", expect_size=\"41754624\"] \n  14 -> 15 [size =\"41754624\"]\n  15 [size=\"23191552\", alpha=\"0.08\", expect_size=\"11595776\"] \n  15 -> 16 [size =\"11595776\"]\n  16 [size=\"92438528\", alpha=\"0.17\", expect_size=\"46219264\"] \n  16 -> 17 [size =\"46219264\"]\n  17 [size=\"98613248\", alpha=\"0.17\", expect_size=\"49306624\"] \n  17 -> 18 [size =\"49306624\"]\n  18 [size=\"98437120\", alpha=\"0.04\", expect_size=\"49218560\"] \n  18 -> 19 [size =\"49218560\"]\n  19 [size=\"77780992\", alpha=\"0.19\", expect_size=\"38890496\"] \n  19 -> 20 [size =\"38890496\"]\n  20 [size=\"90011648\", alpha=\"0.12\", expect_size=\"45005824\"] \n  20 -> 21 [size =\"45005824\"]\n  21 [size=\"95727616\", alpha=\"0.18\", expect_size=\"47863808\"] \n  21 -> 22 [size =\"47863808\"]\n  22 [size=\"98263040\", alpha=\"0.14\", expect_size=\"49131520\"] \n  22 -> 23 [size =\"49131520\"]\n  23 [size=\"34617344\", alpha=\"0.11\", expect_size=\"17308672\"] \n  23 -> 24 [size =\"17308672\"]\n  24 [size=\"69410816\", alpha=\"0.15\", expect_size=\"34705408\"] \n  24 -> 25 [size =\"34705408\"]\n  25 [size=\"29677568\", alpha=\"0.13\", expect_size=\"14838784\"] \n  25 -> 26 [size =\"14838784\"]\n  26 [size=\"68626432\", alpha=\"0.10\", expect_size=\"34313216\"] \n  26 -> 27 [size =\"34313216\"]\n  27 [size=\"52852736\", alpha=\"0.18\", expect_size=\"26426368\"] \n  27 -> 28 [size =\"26426368\"]\n  28 [size=\"36380672\", alpha=\"0.19\", expect_size=\"18190336\"] \n  28 -> 29 [size =\"18190336\"]\n  29 [size=\"54747136\", alpha=\"0.11\", expect_size=\"27373568\"] \n  29 -> 30 [size =\"27373568\"]\n  30 [size=\"48951296\", alpha=\"0.11\", expect_size=\"24475648\"] \n  30 -> 31 [size =\"24475648\"]\n  31 [size=\"11456512\", alpha=\"0.00\", expect_size=\"5728256\"] \n  31 -> 32 [size =\"5728256\"]\n  32 [size=\"95465472\", alpha=\"0.15\", expect_size=\"47732736\"] \n  32 -> 33 [size =\"47732736\"]\n  33 [size=\"67549184\", alpha=\"0.10\", expect_size=\"33774592\"] \n  33 -> 34 [size =\"33774592\"]\n  34 [size=\"25120768\", alpha=\"0.00\", expect_size=\"12560384\"] \n  34 -> 35 [size =\"12560384\"]\n  35 [size=\"96972800\", alpha=\"0.14\", expect_size=\"48486400\"] \n  35 -> 36 [size =\"48486400\"]\n  36 [size=\"63746048\", alpha=\"0.04\", expect_size=\"31873024\"] \n  36 -> 37 [size =\"31873024\"]\n  37 [size=\"18653184\", alpha=\"0.13\", expect_size=\"9326592\"] \n  37 -> 38 [size =\"9326592\"]\n  38 [size=\"102414336\", alpha=\"0.01\", expect_size=\"51207168\"] \n  38 -> 39 [size =\"51207168\"]\n  39 [size=\"97525760\", alpha=\"0.03\", expect_size=\"48762880\"] \n  39 -> 40 [size =\"48762880\"]\n  40 [size=\"55078912\", alpha=\"0.02\", expect_size=\"27539456\"] \n  40 -> 41 [size =\"27539456\"]\n  41 [size=\"13981696\", alpha=\"0.20\", expect_size=\"6990848\"] \n  41 -> 42 [size =\"6990848\"]\n  42 [size=\"14010368\", alpha=\"0.15\", expect_size=\"7005184\"] \n  42 -> 43 [size =\"7005184\"]\n  43 [size=\"83884032\", alpha=\"0.16\", expect_size=\"41942016\"] \n  43 -> 44 [size =\"41942016\"]\n  44 [size=\"35989504\", alpha=\"0.09\", expect_size=\"17994752\"] \n  44 -> 45 [size =\"17994752\"]\n  45 [size=\"37718016\", alpha=\"0.07\", expect_size=\"18859008\"] \n  45 -> 46 [size =\"18859008\"]\n  46 [size=\"101779456\", alpha=\"0.16\", expect_size=\"50889728\"] \n  46 -> 47 [size =\"50889728\"]\n  47 [size=\"27011072\", alpha=\"0.15\", expect_size=\"13505536\"] \n  47 -> 48 [size =\"13505536\"]\n  48 [size=\"90284032\", alpha=\"0.19\", expect_size=\"45142016\"] \n  48 -> 49 [size =\"45142016\"]\n  49 [size=\"96436224\", alpha=\"0.13\", expect_size=\"48218112\"] \n  49 -> 50 [size =\"48218112\"]\n  50 [size=\"18391040\", alpha=\"0.14\", expect_size=\"9195520\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39247872\", alpha=\"0.13\", expect_size=\"19623936\"] \n  1 -> 31 [size =\"19623936\"]\n  1 -> 36 [size =\"19623936\"]\n  1 -> 38 [size =\"19623936\"]\n  1 -> 40 [size =\"19623936\"]\n  1 -> 43 [size =\"19623936\"]\n  1 -> 46 [size =\"19623936\"]\n  1 -> 47 [size =\"19623936\"]\n  1 -> 48 [size =\"19623936\"]\n  1 -> 49 [size =\"19623936\"]\n  2 [size=\"59250688\", alpha=\"0.12\", expect_size=\"29625344\"] \n  2 -> 37 [size =\"29625344\"]\n  2 -> 40 [size =\"29625344\"]\n  2 -> 44 [size =\"29625344\"]\n  2 -> 46 [size =\"29625344\"]\n  2 -> 47 [size =\"29625344\"]\n  3 [size=\"27598848\", alpha=\"0.14\", expect_size=\"13799424\"] \n  3 -> 32 [size =\"13799424\"]\n  3 -> 34 [size =\"13799424\"]\n  3 -> 38 [size =\"13799424\"]\n  3 -> 47 [size =\"13799424\"]\n  4 [size=\"21168128\", alpha=\"0.09\", expect_size=\"10584064\"] \n  4 -> 34 [size =\"10584064\"]\n  4 -> 36 [size =\"10584064\"]\n  4 -> 39 [size =\"10584064\"]\n  4 -> 41 [size =\"10584064\"]\n  4 -> 43 [size =\"10584064\"]\n  4 -> 46 [size =\"10584064\"]\n  4 -> 47 [size =\"10584064\"]\n  4 -> 49 [size =\"10584064\"]\n  5 [size=\"65511424\", alpha=\"0.02\", expect_size=\"32755712\"] \n  5 -> 31 [size =\"32755712\"]\n  5 -> 32 [size =\"32755712\"]\n  5 -> 34 [size =\"32755712\"]\n  5 -> 35 [size =\"32755712\"]\n  5 -> 39 [size =\"32755712\"]\n  5 -> 41 [size =\"32755712\"]\n  5 -> 43 [size =\"32755712\"]\n  5 -> 45 [size =\"32755712\"]\n  5 -> 48 [size =\"32755712\"]\n  5 -> 49 [size =\"32755712\"]\n  6 [size=\"55844864\", alpha=\"0.00\", expect_size=\"27922432\"] \n  6 -> 31 [size =\"27922432\"]\n  6 -> 39 [size =\"27922432\"]\n  6 -> 41 [size =\"27922432\"]\n  6 -> 47 [size =\"27922432\"]\n  6 -> 48 [size =\"27922432\"]\n  7 [size=\"60827648\", alpha=\"0.16\", expect_size=\"30413824\"] \n  7 -> 36 [size =\"30413824\"]\n  7 -> 38 [size =\"30413824\"]\n  7 -> 39 [size =\"30413824\"]\n  7 -> 41 [size =\"30413824\"]\n  7 -> 46 [size =\"30413824\"]\n  7 -> 47 [size =\"30413824\"]\n  8 [size=\"84914176\", alpha=\"0.08\", expect_size=\"42457088\"] \n  8 -> 33 [size =\"42457088\"]\n  8 -> 36 [size =\"42457088\"]\n  8 -> 38 [size =\"42457088\"]\n  8 -> 39 [size =\"42457088\"]\n  8 -> 43 [size =\"42457088\"]\n  8 -> 46 [size =\"42457088\"]\n  9 [size=\"91447296\", alpha=\"0.12\", expect_size=\"45723648\"] \n  9 -> 32 [size =\"45723648\"]\n  9 -> 33 [size =\"45723648\"]\n  9 -> 34 [size =\"45723648\"]\n  9 -> 37 [size =\"45723648\"]\n  9 -> 39 [size =\"45723648\"]\n  9 -> 43 [size =\"45723648\"]\n  9 -> 46 [size =\"45723648\"]\n  9 -> 49 [size =\"45723648\"]\n  10 [size=\"74469376\", alpha=\"0.20\", expect_size=\"37234688\"] \n  10 -> 33 [size =\"37234688\"]\n  10 -> 37 [size =\"37234688\"]\n  10 -> 46 [size =\"37234688\"]\n  10 -> 47 [size =\"37234688\"]\n  10 -> 48 [size =\"37234688\"]\n  11 [size=\"49946624\", alpha=\"0.12\", expect_size=\"24973312\"] \n  11 -> 33 [size =\"24973312\"]\n  11 -> 34 [size =\"24973312\"]\n  11 -> 36 [size =\"24973312\"]\n  11 -> 38 [size =\"24973312\"]\n  11 -> 41 [size =\"24973312\"]\n  11 -> 47 [size =\"24973312\"]\n  11 -> 48 [size =\"24973312\"]\n  12 [size=\"18159616\", alpha=\"0.03\", expect_size=\"9079808\"] \n  12 -> 33 [size =\"9079808\"]\n  12 -> 34 [size =\"9079808\"]\n  12 -> 39 [size =\"9079808\"]\n  12 -> 41 [size =\"9079808\"]\n  12 -> 46 [size =\"9079808\"]\n  12 -> 49 [size =\"9079808\"]\n  13 [size=\"74926080\", alpha=\"0.18\", expect_size=\"37463040\"] \n  13 -> 34 [size =\"37463040\"]\n  13 -> 36 [size =\"37463040\"]\n  13 -> 38 [size =\"37463040\"]\n  13 -> 41 [size =\"37463040\"]\n  13 -> 46 [size =\"37463040\"]\n  13 -> 48 [size =\"37463040\"]\n  13 -> 49 [size =\"37463040\"]\n  14 [size=\"45254656\", alpha=\"0.06\", expect_size=\"22627328\"] \n  14 -> 34 [size =\"22627328\"]\n  14 -> 36 [size =\"22627328\"]\n  14 -> 41 [size =\"22627328\"]\n  14 -> 41 [size =\"22627328\"]\n  14 -> 45 [size =\"22627328\"]\n  14 -> 46 [size =\"22627328\"]\n  14 -> 49 [size =\"22627328\"]\n  15 [size=\"86446080\", alpha=\"0.10\", expect_size=\"43223040\"] \n  15 -> 35 [size =\"43223040\"]\n  15 -> 37 [size =\"43223040\"]\n  15 -> 38 [size =\"43223040\"]\n  15 -> 41 [size =\"43223040\"]\n  15 -> 43 [size =\"43223040\"]\n  15 -> 44 [size =\"43223040\"]\n  15 -> 47 [size =\"43223040\"]\n  15 -> 48 [size =\"43223040\"]\n  15 -> 49 [size =\"43223040\"]\n  16 [size=\"94662656\", alpha=\"0.08\", expect_size=\"47331328\"] \n  16 -> 33 [size =\"47331328\"]\n  16 -> 36 [size =\"47331328\"]\n  16 -> 39 [size =\"47331328\"]\n  16 -> 41 [size =\"47331328\"]\n  16 -> 46 [size =\"47331328\"]\n  16 -> 48 [size =\"47331328\"]\n  17 [size=\"96323584\", alpha=\"0.01\", expect_size=\"48161792\"] \n  17 -> 38 [size =\"48161792\"]\n  17 -> 39 [size =\"48161792\"]\n  17 -> 41 [size =\"48161792\"]\n  17 -> 41 [size =\"48161792\"]\n  17 -> 43 [size =\"48161792\"]\n  17 -> 46 [size =\"48161792\"]\n  17 -> 48 [size =\"48161792\"]\n  18 [size=\"76001280\", alpha=\"0.07\", expect_size=\"38000640\"] \n  18 -> 35 [size =\"38000640\"]\n  18 -> 41 [size =\"38000640\"]\n  18 -> 43 [size =\"38000640\"]\n  19 [size=\"19904512\", alpha=\"0.01\", expect_size=\"9952256\"] \n  19 -> 31 [size =\"9952256\"]\n  19 -> 32 [size =\"9952256\"]\n  19 -> 38 [size =\"9952256\"]\n  19 -> 40 [size =\"9952256\"]\n  19 -> 43 [size =\"9952256\"]\n  19 -> 47 [size =\"9952256\"]\n  20 [size=\"75526144\", alpha=\"0.05\", expect_size=\"37763072\"] \n  20 -> 33 [size =\"37763072\"]\n  20 -> 34 [size =\"37763072\"]\n  20 -> 38 [size =\"37763072\"]\n  20 -> 40 [size =\"37763072\"]\n  20 -> 41 [size =\"37763072\"]\n  20 -> 43 [size =\"37763072\"]\n  20 -> 47 [size =\"37763072\"]\n  20 -> 49 [size =\"37763072\"]\n  21 [size=\"74199040\", alpha=\"0.15\", expect_size=\"37099520\"] \n  21 -> 33 [size =\"37099520\"]\n  21 -> 38 [size =\"37099520\"]\n  21 -> 40 [size =\"37099520\"]\n  21 -> 43 [size =\"37099520\"]\n  21 -> 46 [size =\"37099520\"]\n  21 -> 48 [size =\"37099520\"]\n  21 -> 49 [size =\"37099520\"]\n  21 -> 49 [size =\"37099520\"]\n  22 [size=\"38160384\", alpha=\"0.16\", expect_size=\"19080192\"] \n  22 -> 31 [size =\"19080192\"]\n  22 -> 35 [size =\"19080192\"]\n  22 -> 38 [size =\"19080192\"]\n  22 -> 39 [size =\"19080192\"]\n  22 -> 43 [size =\"19080192\"]\n  22 -> 46 [size =\"19080192\"]\n  23 [size=\"54579200\", alpha=\"0.00\", expect_size=\"27289600\"] \n  23 -> 43 [size =\"27289600\"]\n  23 -> 45 [size =\"27289600\"]\n  24 [size=\"44122112\", alpha=\"0.07\", expect_size=\"22061056\"] \n  24 -> 37 [size =\"22061056\"]\n  24 -> 38 [size =\"22061056\"]\n  24 -> 41 [size =\"22061056\"]\n  24 -> 43 [size =\"22061056\"]\n  24 -> 50 [size =\"22061056\"]\n  25 [size=\"73148416\", alpha=\"0.05\", expect_size=\"36574208\"] \n  25 -> 32 [size =\"36574208\"]\n  25 -> 36 [size =\"36574208\"]\n  25 -> 40 [size =\"36574208\"]\n  25 -> 45 [size =\"36574208\"]\n  25 -> 47 [size =\"36574208\"]\n  26 [size=\"27357184\", alpha=\"0.13\", expect_size=\"13678592\"] \n  26 -> 35 [size =\"13678592\"]\n  26 -> 39 [size =\"13678592\"]\n  27 [size=\"64634880\", alpha=\"0.11\", expect_size=\"32317440\"] \n  27 -> 36 [size =\"32317440\"]\n  27 -> 41 [size =\"32317440\"]\n  27 -> 42 [size =\"32317440\"]\n  28 [size=\"69844992\", alpha=\"0.05\", expect_size=\"34922496\"] \n  28 -> 35 [size =\"34922496\"]\n  28 -> 39 [size =\"34922496\"]\n  28 -> 41 [size =\"34922496\"]\n  28 -> 45 [size =\"34922496\"]\n  28 -> 49 [size =\"34922496\"]\n  29 [size=\"103550976\", alpha=\"0.17\", expect_size=\"51775488\"] \n  29 -> 41 [size =\"51775488\"]\n  29 -> 43 [size =\"51775488\"]\n  29 -> 46 [size =\"51775488\"]\n  29 -> 47 [size =\"51775488\"]\n  29 -> 48 [size =\"51775488\"]\n  30 [size=\"12957696\", alpha=\"0.02\", expect_size=\"6478848\"] \n  30 -> 32 [size =\"6478848\"]\n  30 -> 39 [size =\"6478848\"]\n  30 -> 40 [size =\"6478848\"]\n  30 -> 41 [size =\"6478848\"]\n  30 -> 48 [size =\"6478848\"]\n  31 [size=\"36476928\", alpha=\"0.15\", expect_size=\"18238464\"] \n  32 [size=\"14129152\", alpha=\"0.10\", expect_size=\"7064576\"] \n  33 [size=\"89053184\", alpha=\"0.18\", expect_size=\"44526592\"] \n  34 [size=\"89616384\", alpha=\"0.14\", expect_size=\"44808192\"] \n  35 [size=\"26507264\", alpha=\"0.06\", expect_size=\"13253632\"] \n  36 [size=\"49119232\", alpha=\"0.16\", expect_size=\"24559616\"] \n  37 [size=\"14073856\", alpha=\"0.04\", expect_size=\"7036928\"] \n  38 [size=\"66080768\", alpha=\"0.06\", expect_size=\"33040384\"] \n  39 [size=\"90828800\", alpha=\"0.10\", expect_size=\"45414400\"] \n  40 [size=\"74907648\", alpha=\"0.08\", expect_size=\"37453824\"] \n  41 [size=\"82300928\", alpha=\"0.19\", expect_size=\"41150464\"] \n  42 [size=\"58097664\", alpha=\"0.16\", expect_size=\"29048832\"] \n  43 [size=\"104347648\", alpha=\"0.03\", expect_size=\"52173824\"] \n  44 [size=\"96747520\", alpha=\"0.17\", expect_size=\"48373760\"] \n  45 [size=\"70066176\", alpha=\"0.03\", expect_size=\"35033088\"] \n  46 [size=\"100268032\", alpha=\"0.14\", expect_size=\"50134016\"] \n  47 [size=\"82784256\", alpha=\"0.16\", expect_size=\"41392128\"] \n  48 [size=\"103456768\", alpha=\"0.10\", expect_size=\"51728384\"] \n  49 [size=\"39057408\", alpha=\"0.04\", expect_size=\"19528704\"] \n  50 [size=\"87746560\", alpha=\"0.19\", expect_size=\"43873280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.830.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66198187\", alpha=\"0.10\", expect_size=\"19859456\"] \n  1 -> 2 [size =\"19859456\"]\n  2 [size=\"114244267\", alpha=\"0.06\", expect_size=\"34273280\"] \n  2 -> 3 [size =\"34273280\"]\n  3 [size=\"29494613\", alpha=\"0.05\", expect_size=\"8848384\"] \n  3 -> 4 [size =\"8848384\"]\n  4 [size=\"110390613\", alpha=\"0.11\", expect_size=\"33117184\"] \n  4 -> 5 [size =\"33117184\"]\n  5 [size=\"64713387\", alpha=\"0.05\", expect_size=\"19414016\"] \n  5 -> 6 [size =\"19414016\"]\n  6 [size=\"41256960\", alpha=\"0.07\", expect_size=\"12377088\"] \n  6 -> 7 [size =\"12377088\"]\n  7 [size=\"161454080\", alpha=\"0.14\", expect_size=\"48436224\"] \n  7 -> 8 [size =\"48436224\"]\n  8 [size=\"25231360\", alpha=\"0.03\", expect_size=\"7569408\"] \n  8 -> 9 [size =\"7569408\"]\n  9 [size=\"116148907\", alpha=\"0.13\", expect_size=\"34844672\"] \n  9 -> 10 [size =\"34844672\"]\n  10 [size=\"119463253\", alpha=\"0.06\", expect_size=\"35838976\"] \n  10 -> 11 [size =\"35838976\"]\n  11 [size=\"47807147\", alpha=\"0.02\", expect_size=\"14342144\"] \n  11 -> 12 [size =\"14342144\"]\n  12 [size=\"130276693\", alpha=\"0.09\", expect_size=\"39083008\"] \n  12 -> 13 [size =\"39083008\"]\n  13 [size=\"20971520\", alpha=\"0.19\", expect_size=\"6291456\"] \n  13 -> 14 [size =\"6291456\"]\n  14 [size=\"59603627\", alpha=\"0.15\", expect_size=\"17881088\"] \n  14 -> 15 [size =\"17881088\"]\n  15 [size=\"149265067\", alpha=\"0.02\", expect_size=\"44779520\"] \n  15 -> 16 [size =\"44779520\"]\n  16 [size=\"34635093\", alpha=\"0.16\", expect_size=\"10390528\"] \n  16 -> 17 [size =\"10390528\"]\n  17 [size=\"92743680\", alpha=\"0.10\", expect_size=\"27823104\"] \n  17 -> 18 [size =\"27823104\"]\n  18 [size=\"41734827\", alpha=\"0.00\", expect_size=\"12520448\"] \n  18 -> 19 [size =\"12520448\"]\n  19 [size=\"65484800\", alpha=\"0.17\", expect_size=\"19645440\"] \n  19 -> 20 [size =\"19645440\"]\n  20 [size=\"170700800\", alpha=\"0.00\", expect_size=\"51210240\"] \n  20 -> 21 [size =\"51210240\"]\n  21 [size=\"59098453\", alpha=\"0.09\", expect_size=\"17729536\"] \n  21 -> 22 [size =\"17729536\"]\n  22 [size=\"72174933\", alpha=\"0.11\", expect_size=\"21652480\"] \n  22 -> 23 [size =\"21652480\"]\n  23 [size=\"141359787\", alpha=\"0.14\", expect_size=\"42407936\"] \n  23 -> 24 [size =\"42407936\"]\n  24 [size=\"133174613\", alpha=\"0.09\", expect_size=\"39952384\"] \n  24 -> 25 [size =\"39952384\"]\n  25 [size=\"91695787\", alpha=\"0.10\", expect_size=\"27508736\"] \n  25 -> 26 [size =\"27508736\"]\n  26 [size=\"105048747\", alpha=\"0.13\", expect_size=\"31514624\"] \n  26 -> 27 [size =\"31514624\"]\n  27 [size=\"77076480\", alpha=\"0.15\", expect_size=\"23122944\"] \n  27 -> 28 [size =\"23122944\"]\n  28 [size=\"159085227\", alpha=\"0.19\", expect_size=\"47725568\"] \n  28 -> 29 [size =\"47725568\"]\n  29 [size=\"159525547\", alpha=\"0.14\", expect_size=\"47857664\"] \n  29 -> 30 [size =\"47857664\"]\n  30 [size=\"138270720\", alpha=\"0.03\", expect_size=\"41481216\"] \n  30 -> 31 [size =\"41481216\"]\n  31 [size=\"140335787\", alpha=\"0.15\", expect_size=\"42100736\"] \n  31 -> 32 [size =\"42100736\"]\n  32 [size=\"57149440\", alpha=\"0.02\", expect_size=\"17144832\"] \n  32 -> 33 [size =\"17144832\"]\n  33 [size=\"142772907\", alpha=\"0.10\", expect_size=\"42831872\"] \n  33 -> 34 [size =\"42831872\"]\n  34 [size=\"94655147\", alpha=\"0.02\", expect_size=\"28396544\"] \n  34 -> 35 [size =\"28396544\"]\n  35 [size=\"162996907\", alpha=\"0.12\", expect_size=\"48899072\"] \n  35 -> 36 [size =\"48899072\"]\n  36 [size=\"80459093\", alpha=\"0.03\", expect_size=\"24137728\"] \n  36 -> 37 [size =\"24137728\"]\n  37 [size=\"28112213\", alpha=\"0.04\", expect_size=\"8433664\"] \n  37 -> 38 [size =\"8433664\"]\n  38 [size=\"149940907\", alpha=\"0.09\", expect_size=\"44982272\"] \n  38 -> 39 [size =\"44982272\"]\n  39 [size=\"139127467\", alpha=\"0.19\", expect_size=\"41738240\"] \n  39 -> 40 [size =\"41738240\"]\n  40 [size=\"94347947\", alpha=\"0.09\", expect_size=\"28304384\"] \n  40 -> 41 [size =\"28304384\"]\n  41 [size=\"117585920\", alpha=\"0.04\", expect_size=\"35275776\"] \n  41 -> 42 [size =\"35275776\"]\n  42 [size=\"81896107\", alpha=\"0.06\", expect_size=\"24568832\"] \n  42 -> 43 [size =\"24568832\"]\n  43 [size=\"100075520\", alpha=\"0.04\", expect_size=\"30022656\"] \n  43 -> 44 [size =\"30022656\"]\n  44 [size=\"18339840\", alpha=\"0.16\", expect_size=\"5501952\"] \n  44 -> 45 [size =\"5501952\"]\n  45 [size=\"36099413\", alpha=\"0.18\", expect_size=\"10829824\"] \n  45 -> 46 [size =\"10829824\"]\n  46 [size=\"127863467\", alpha=\"0.12\", expect_size=\"38359040\"] \n  46 -> 47 [size =\"38359040\"]\n  47 [size=\"153501013\", alpha=\"0.12\", expect_size=\"46050304\"] \n  47 -> 48 [size =\"46050304\"]\n  48 [size=\"30996480\", alpha=\"0.11\", expect_size=\"9298944\"] \n  48 -> 49 [size =\"9298944\"]\n  49 [size=\"99181227\", alpha=\"0.08\", expect_size=\"29754368\"] \n  49 -> 50 [size =\"29754368\"]\n  50 [size=\"91497813\", alpha=\"0.20\", expect_size=\"27449344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.831.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88453120\", alpha=\"0.00\", expect_size=\"35381248\"] \n  1 -> 18 [size =\"35381248\"]\n  1 -> 19 [size =\"35381248\"]\n  1 -> 25 [size =\"35381248\"]\n  1 -> 26 [size =\"35381248\"]\n  1 -> 32 [size =\"35381248\"]\n  2 [size=\"127308800\", alpha=\"0.03\", expect_size=\"50923520\"] \n  2 -> 19 [size =\"50923520\"]\n  2 -> 19 [size =\"50923520\"]\n  2 -> 20 [size =\"50923520\"]\n  2 -> 22 [size =\"50923520\"]\n  2 -> 25 [size =\"50923520\"]\n  2 -> 28 [size =\"50923520\"]\n  2 -> 29 [size =\"50923520\"]\n  2 -> 31 [size =\"50923520\"]\n  3 [size=\"55552000\", alpha=\"0.13\", expect_size=\"22220800\"] \n  3 -> 20 [size =\"22220800\"]\n  3 -> 21 [size =\"22220800\"]\n  3 -> 22 [size =\"22220800\"]\n  3 -> 23 [size =\"22220800\"]\n  3 -> 25 [size =\"22220800\"]\n  3 -> 29 [size =\"22220800\"]\n  3 -> 31 [size =\"22220800\"]\n  3 -> 31 [size =\"22220800\"]\n  3 -> 32 [size =\"22220800\"]\n  4 [size=\"44613120\", alpha=\"0.17\", expect_size=\"17845248\"] \n  4 -> 21 [size =\"17845248\"]\n  4 -> 23 [size =\"17845248\"]\n  4 -> 25 [size =\"17845248\"]\n  4 -> 27 [size =\"17845248\"]\n  4 -> 28 [size =\"17845248\"]\n  4 -> 30 [size =\"17845248\"]\n  5 [size=\"127011840\", alpha=\"0.02\", expect_size=\"50804736\"] \n  5 -> 19 [size =\"50804736\"]\n  5 -> 25 [size =\"50804736\"]\n  5 -> 31 [size =\"50804736\"]\n  6 [size=\"16294400\", alpha=\"0.18\", expect_size=\"6517760\"] \n  6 -> 23 [size =\"6517760\"]\n  6 -> 29 [size =\"6517760\"]\n  7 [size=\"64384000\", alpha=\"0.10\", expect_size=\"25753600\"] \n  7 -> 24 [size =\"25753600\"]\n  7 -> 26 [size =\"25753600\"]\n  7 -> 27 [size =\"25753600\"]\n  8 [size=\"122017280\", alpha=\"0.01\", expect_size=\"48806912\"] \n  8 -> 19 [size =\"48806912\"]\n  8 -> 22 [size =\"48806912\"]\n  8 -> 29 [size =\"48806912\"]\n  9 [size=\"109831680\", alpha=\"0.04\", expect_size=\"43932672\"] \n  9 -> 18 [size =\"43932672\"]\n  9 -> 22 [size =\"43932672\"]\n  9 -> 24 [size =\"43932672\"]\n  9 -> 26 [size =\"43932672\"]\n  9 -> 32 [size =\"43932672\"]\n  10 [size=\"83279360\", alpha=\"0.20\", expect_size=\"33311744\"] \n  10 -> 18 [size =\"33311744\"]\n  10 -> 22 [size =\"33311744\"]\n  10 -> 23 [size =\"33311744\"]\n  10 -> 24 [size =\"33311744\"]\n  10 -> 25 [size =\"33311744\"]\n  10 -> 29 [size =\"33311744\"]\n  10 -> 31 [size =\"33311744\"]\n  10 -> 32 [size =\"33311744\"]\n  11 [size=\"36907520\", alpha=\"0.11\", expect_size=\"14763008\"] \n  11 -> 22 [size =\"14763008\"]\n  11 -> 23 [size =\"14763008\"]\n  11 -> 25 [size =\"14763008\"]\n  11 -> 29 [size =\"14763008\"]\n  11 -> 31 [size =\"14763008\"]\n  12 [size=\"37219840\", alpha=\"0.14\", expect_size=\"14887936\"] \n  12 -> 22 [size =\"14887936\"]\n  12 -> 23 [size =\"14887936\"]\n  12 -> 24 [size =\"14887936\"]\n  12 -> 25 [size =\"14887936\"]\n  12 -> 26 [size =\"14887936\"]\n  12 -> 28 [size =\"14887936\"]\n  12 -> 29 [size =\"14887936\"]\n  13 [size=\"52689920\", alpha=\"0.07\", expect_size=\"21075968\"] \n  13 -> 19 [size =\"21075968\"]\n  13 -> 21 [size =\"21075968\"]\n  13 -> 23 [size =\"21075968\"]\n  13 -> 26 [size =\"21075968\"]\n  13 -> 29 [size =\"21075968\"]\n  13 -> 31 [size =\"21075968\"]\n  14 [size=\"130186240\", alpha=\"0.08\", expect_size=\"52074496\"] \n  14 -> 18 [size =\"52074496\"]\n  14 -> 21 [size =\"52074496\"]\n  14 -> 25 [size =\"52074496\"]\n  14 -> 28 [size =\"52074496\"]\n  14 -> 29 [size =\"52074496\"]\n  15 [size=\"110443520\", alpha=\"0.06\", expect_size=\"44177408\"] \n  15 -> 19 [size =\"44177408\"]\n  15 -> 23 [size =\"44177408\"]\n  15 -> 25 [size =\"44177408\"]\n  15 -> 31 [size =\"44177408\"]\n  16 [size=\"124134400\", alpha=\"0.14\", expect_size=\"49653760\"] \n  16 -> 21 [size =\"49653760\"]\n  16 -> 22 [size =\"49653760\"]\n  16 -> 23 [size =\"49653760\"]\n  16 -> 26 [size =\"49653760\"]\n  16 -> 28 [size =\"49653760\"]\n  17 [size=\"113336320\", alpha=\"0.18\", expect_size=\"45334528\"] \n  17 -> 26 [size =\"45334528\"]\n  17 -> 30 [size =\"45334528\"]\n  17 -> 31 [size =\"45334528\"]\n  18 [size=\"53038080\", alpha=\"0.15\", expect_size=\"21215232\"] \n  18 -> 34 [size =\"21215232\"]\n  18 -> 36 [size =\"21215232\"]\n  18 -> 42 [size =\"21215232\"]\n  18 -> 43 [size =\"21215232\"]\n  18 -> 44 [size =\"21215232\"]\n  19 [size=\"59013120\", alpha=\"0.10\", expect_size=\"23605248\"] \n  19 -> 33 [size =\"23605248\"]\n  19 -> 35 [size =\"23605248\"]\n  19 -> 36 [size =\"23605248\"]\n  19 -> 38 [size =\"23605248\"]\n  19 -> 43 [size =\"23605248\"]\n  19 -> 47 [size =\"23605248\"]\n  19 -> 49 [size =\"23605248\"]\n  20 [size=\"82754560\", alpha=\"0.15\", expect_size=\"33101824\"] \n  20 -> 33 [size =\"33101824\"]\n  20 -> 35 [size =\"33101824\"]\n  20 -> 36 [size =\"33101824\"]\n  20 -> 38 [size =\"33101824\"]\n  20 -> 40 [size =\"33101824\"]\n  20 -> 41 [size =\"33101824\"]\n  20 -> 47 [size =\"33101824\"]\n  20 -> 49 [size =\"33101824\"]\n  21 [size=\"81825280\", alpha=\"0.14\", expect_size=\"32730112\"] \n  21 -> 33 [size =\"32730112\"]\n  21 -> 34 [size =\"32730112\"]\n  21 -> 37 [size =\"32730112\"]\n  21 -> 42 [size =\"32730112\"]\n  21 -> 44 [size =\"32730112\"]\n  21 -> 49 [size =\"32730112\"]\n  22 [size=\"29847040\", alpha=\"0.12\", expect_size=\"11938816\"] \n  22 -> 36 [size =\"11938816\"]\n  22 -> 40 [size =\"11938816\"]\n  22 -> 41 [size =\"11938816\"]\n  22 -> 43 [size =\"11938816\"]\n  22 -> 44 [size =\"11938816\"]\n  22 -> 47 [size =\"11938816\"]\n  22 -> 48 [size =\"11938816\"]\n  22 -> 49 [size =\"11938816\"]\n  23 [size=\"111631360\", alpha=\"0.17\", expect_size=\"44652544\"] \n  23 -> 35 [size =\"44652544\"]\n  23 -> 36 [size =\"44652544\"]\n  23 -> 38 [size =\"44652544\"]\n  23 -> 49 [size =\"44652544\"]\n  24 [size=\"36080640\", alpha=\"0.07\", expect_size=\"14432256\"] \n  24 -> 34 [size =\"14432256\"]\n  24 -> 36 [size =\"14432256\"]\n  24 -> 41 [size =\"14432256\"]\n  24 -> 43 [size =\"14432256\"]\n  24 -> 44 [size =\"14432256\"]\n  24 -> 49 [size =\"14432256\"]\n  25 [size=\"82211840\", alpha=\"0.17\", expect_size=\"32884736\"] \n  25 -> 34 [size =\"32884736\"]\n  25 -> 40 [size =\"32884736\"]\n  25 -> 44 [size =\"32884736\"]\n  25 -> 49 [size =\"32884736\"]\n  26 [size=\"118141440\", alpha=\"0.07\", expect_size=\"47256576\"] \n  26 -> 34 [size =\"47256576\"]\n  26 -> 39 [size =\"47256576\"]\n  26 -> 40 [size =\"47256576\"]\n  26 -> 41 [size =\"47256576\"]\n  26 -> 43 [size =\"47256576\"]\n  26 -> 44 [size =\"47256576\"]\n  26 -> 46 [size =\"47256576\"]\n  26 -> 47 [size =\"47256576\"]\n  26 -> 48 [size =\"47256576\"]\n  26 -> 49 [size =\"47256576\"]\n  27 [size=\"84352000\", alpha=\"0.06\", expect_size=\"33740800\"] \n  27 -> 34 [size =\"33740800\"]\n  27 -> 36 [size =\"33740800\"]\n  27 -> 41 [size =\"33740800\"]\n  27 -> 42 [size =\"33740800\"]\n  27 -> 45 [size =\"33740800\"]\n  27 -> 49 [size =\"33740800\"]\n  28 [size=\"74444800\", alpha=\"0.03\", expect_size=\"29777920\"] \n  28 -> 35 [size =\"29777920\"]\n  28 -> 40 [size =\"29777920\"]\n  28 -> 41 [size =\"29777920\"]\n  28 -> 42 [size =\"29777920\"]\n  29 [size=\"42224640\", alpha=\"0.17\", expect_size=\"16889856\"] \n  29 -> 34 [size =\"16889856\"]\n  29 -> 35 [size =\"16889856\"]\n  29 -> 38 [size =\"16889856\"]\n  29 -> 39 [size =\"16889856\"]\n  29 -> 40 [size =\"16889856\"]\n  29 -> 42 [size =\"16889856\"]\n  29 -> 47 [size =\"16889856\"]\n  30 [size=\"99409920\", alpha=\"0.03\", expect_size=\"39763968\"] \n  30 -> 34 [size =\"39763968\"]\n  30 -> 35 [size =\"39763968\"]\n  30 -> 42 [size =\"39763968\"]\n  30 -> 43 [size =\"39763968\"]\n  30 -> 44 [size =\"39763968\"]\n  30 -> 45 [size =\"39763968\"]\n  30 -> 47 [size =\"39763968\"]\n  31 [size=\"72163840\", alpha=\"0.12\", expect_size=\"28865536\"] \n  31 -> 35 [size =\"28865536\"]\n  31 -> 35 [size =\"28865536\"]\n  31 -> 41 [size =\"28865536\"]\n  31 -> 43 [size =\"28865536\"]\n  31 -> 47 [size =\"28865536\"]\n  31 -> 48 [size =\"28865536\"]\n  32 [size=\"35832320\", alpha=\"0.06\", expect_size=\"14332928\"] \n  32 -> 35 [size =\"14332928\"]\n  32 -> 36 [size =\"14332928\"]\n  32 -> 39 [size =\"14332928\"]\n  32 -> 41 [size =\"14332928\"]\n  32 -> 43 [size =\"14332928\"]\n  32 -> 44 [size =\"14332928\"]\n  32 -> 47 [size =\"14332928\"]\n  33 [size=\"104619520\", alpha=\"0.07\", expect_size=\"41847808\"] \n  33 -> 50 [size =\"41847808\"]\n  34 [size=\"85043200\", alpha=\"0.07\", expect_size=\"34017280\"] \n  35 [size=\"126571520\", alpha=\"0.04\", expect_size=\"50628608\"] \n  35 -> 50 [size =\"50628608\"]\n  36 [size=\"107182080\", alpha=\"0.20\", expect_size=\"42872832\"] \n  37 [size=\"30062080\", alpha=\"0.12\", expect_size=\"12024832\"] \n  37 -> 50 [size =\"12024832\"]\n  38 [size=\"64450560\", alpha=\"0.12\", expect_size=\"25780224\"] \n  39 [size=\"83333120\", alpha=\"0.19\", expect_size=\"33333248\"] \n  40 [size=\"65466880\", alpha=\"0.18\", expect_size=\"26186752\"] \n  40 -> 50 [size =\"26186752\"]\n  41 [size=\"81031680\", alpha=\"0.09\", expect_size=\"32412672\"] \n  42 [size=\"35860480\", alpha=\"0.02\", expect_size=\"14344192\"] \n  43 [size=\"72030720\", alpha=\"0.12\", expect_size=\"28812288\"] \n  44 [size=\"111162880\", alpha=\"0.06\", expect_size=\"44465152\"] \n  45 [size=\"34408960\", alpha=\"0.12\", expect_size=\"13763584\"] \n  46 [size=\"57072640\", alpha=\"0.16\", expect_size=\"22829056\"] \n  47 [size=\"54246400\", alpha=\"0.12\", expect_size=\"21698560\"] \n  48 [size=\"126169600\", alpha=\"0.18\", expect_size=\"50467840\"] \n  49 [size=\"76835840\", alpha=\"0.09\", expect_size=\"30734336\"] \n  50 [size=\"70123520\", alpha=\"0.15\", expect_size=\"28049408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.832.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64498347\", alpha=\"0.20\", expect_size=\"19349504\"] \n  1 -> 13 [size =\"19349504\"]\n  2 [size=\"168133973\", alpha=\"0.10\", expect_size=\"50440192\"] \n  2 -> 12 [size =\"50440192\"]\n  2 -> 15 [size =\"50440192\"]\n  3 [size=\"135447893\", alpha=\"0.09\", expect_size=\"40634368\"] \n  3 -> 11 [size =\"40634368\"]\n  3 -> 12 [size =\"40634368\"]\n  4 [size=\"17547947\", alpha=\"0.11\", expect_size=\"5264384\"] \n  5 [size=\"19787093\", alpha=\"0.19\", expect_size=\"5936128\"] \n  5 -> 13 [size =\"5936128\"]\n  6 [size=\"87545173\", alpha=\"0.14\", expect_size=\"26263552\"] \n  6 -> 13 [size =\"26263552\"]\n  6 -> 14 [size =\"26263552\"]\n  6 -> 15 [size =\"26263552\"]\n  7 [size=\"86466560\", alpha=\"0.08\", expect_size=\"25939968\"] \n  8 [size=\"163693227\", alpha=\"0.15\", expect_size=\"49107968\"] \n  8 -> 10 [size =\"49107968\"]\n  8 -> 13 [size =\"49107968\"]\n  8 -> 14 [size =\"49107968\"]\n  9 [size=\"68570453\", alpha=\"0.15\", expect_size=\"20571136\"] \n  9 -> 10 [size =\"20571136\"]\n  9 -> 15 [size =\"20571136\"]\n  10 [size=\"148418560\", alpha=\"0.16\", expect_size=\"44525568\"] \n  10 -> 16 [size =\"44525568\"]\n  10 -> 20 [size =\"44525568\"]\n  11 [size=\"29392213\", alpha=\"0.13\", expect_size=\"8817664\"] \n  11 -> 16 [size =\"8817664\"]\n  11 -> 18 [size =\"8817664\"]\n  11 -> 19 [size =\"8817664\"]\n  11 -> 21 [size =\"8817664\"]\n  12 [size=\"27487573\", alpha=\"0.11\", expect_size=\"8246272\"] \n  13 [size=\"108008107\", alpha=\"0.17\", expect_size=\"32402432\"] \n  13 -> 16 [size =\"32402432\"]\n  13 -> 17 [size =\"32402432\"]\n  14 [size=\"19681280\", alpha=\"0.14\", expect_size=\"5904384\"] \n  14 -> 17 [size =\"5904384\"]\n  14 -> 18 [size =\"5904384\"]\n  14 -> 21 [size =\"5904384\"]\n  15 [size=\"106045440\", alpha=\"0.01\", expect_size=\"31813632\"] \n  15 -> 17 [size =\"31813632\"]\n  15 -> 21 [size =\"31813632\"]\n  16 [size=\"96430080\", alpha=\"0.18\", expect_size=\"28929024\"] \n  17 [size=\"52855467\", alpha=\"0.08\", expect_size=\"15856640\"] \n  17 -> 22 [size =\"15856640\"]\n  18 [size=\"112042667\", alpha=\"0.18\", expect_size=\"33612800\"] \n  18 -> 22 [size =\"33612800\"]\n  18 -> 25 [size =\"33612800\"]\n  19 [size=\"69034667\", alpha=\"0.12\", expect_size=\"20710400\"] \n  19 -> 22 [size =\"20710400\"]\n  19 -> 24 [size =\"20710400\"]\n  20 [size=\"26664960\", alpha=\"0.11\", expect_size=\"7999488\"] \n  20 -> 25 [size =\"7999488\"]\n  21 [size=\"150224213\", alpha=\"0.17\", expect_size=\"45067264\"] \n  21 -> 23 [size =\"45067264\"]\n  21 -> 25 [size =\"45067264\"]\n  21 -> 26 [size =\"45067264\"]\n  22 [size=\"96829440\", alpha=\"0.01\", expect_size=\"29048832\"] \n  22 -> 27 [size =\"29048832\"]\n  22 -> 30 [size =\"29048832\"]\n  23 [size=\"22391467\", alpha=\"0.00\", expect_size=\"6717440\"] \n  23 -> 27 [size =\"6717440\"]\n  23 -> 30 [size =\"6717440\"]\n  24 [size=\"156149760\", alpha=\"0.19\", expect_size=\"46844928\"] \n  25 [size=\"108216320\", alpha=\"0.19\", expect_size=\"32464896\"] \n  25 -> 28 [size =\"32464896\"]\n  25 -> 29 [size =\"32464896\"]\n  25 -> 30 [size =\"32464896\"]\n  26 [size=\"112749227\", alpha=\"0.07\", expect_size=\"33824768\"] \n  26 -> 28 [size =\"33824768\"]\n  27 [size=\"97501867\", alpha=\"0.05\", expect_size=\"29250560\"] \n  27 -> 32 [size =\"29250560\"]\n  27 -> 34 [size =\"29250560\"]\n  27 -> 36 [size =\"29250560\"]\n  27 -> 37 [size =\"29250560\"]\n  28 [size=\"160317440\", alpha=\"0.00\", expect_size=\"48095232\"] \n  28 -> 31 [size =\"48095232\"]\n  28 -> 33 [size =\"48095232\"]\n  28 -> 35 [size =\"48095232\"]\n  28 -> 36 [size =\"48095232\"]\n  28 -> 37 [size =\"48095232\"]\n  29 [size=\"142424747\", alpha=\"0.03\", expect_size=\"42727424\"] \n  29 -> 32 [size =\"42727424\"]\n  29 -> 34 [size =\"42727424\"]\n  30 [size=\"82479787\", alpha=\"0.02\", expect_size=\"24743936\"] \n  31 [size=\"172892160\", alpha=\"0.02\", expect_size=\"51867648\"] \n  31 -> 39 [size =\"51867648\"]\n  31 -> 40 [size =\"51867648\"]\n  32 [size=\"146111147\", alpha=\"0.04\", expect_size=\"43833344\"] \n  33 [size=\"152794453\", alpha=\"0.17\", expect_size=\"45838336\"] \n  33 -> 39 [size =\"45838336\"]\n  33 -> 42 [size =\"45838336\"]\n  34 [size=\"153630720\", alpha=\"0.11\", expect_size=\"46089216\"] \n  34 -> 42 [size =\"46089216\"]\n  35 [size=\"148695040\", alpha=\"0.16\", expect_size=\"44608512\"] \n  35 -> 38 [size =\"44608512\"]\n  35 -> 41 [size =\"44608512\"]\n  36 [size=\"140298240\", alpha=\"0.11\", expect_size=\"42089472\"] \n  36 -> 38 [size =\"42089472\"]\n  36 -> 40 [size =\"42089472\"]\n  36 -> 41 [size =\"42089472\"]\n  36 -> 42 [size =\"42089472\"]\n  37 [size=\"41226240\", alpha=\"0.10\", expect_size=\"12367872\"] \n  37 -> 39 [size =\"12367872\"]\n  37 -> 41 [size =\"12367872\"]\n  37 -> 41 [size =\"12367872\"]\n  38 [size=\"77755733\", alpha=\"0.01\", expect_size=\"23326720\"] \n  38 -> 43 [size =\"23326720\"]\n  38 -> 44 [size =\"23326720\"]\n  38 -> 46 [size =\"23326720\"]\n  39 [size=\"81537707\", alpha=\"0.19\", expect_size=\"24461312\"] \n  40 [size=\"103662933\", alpha=\"0.18\", expect_size=\"31098880\"] \n  41 [size=\"117787307\", alpha=\"0.14\", expect_size=\"35336192\"] \n  41 -> 45 [size =\"35336192\"]\n  41 -> 46 [size =\"35336192\"]\n  41 -> 47 [size =\"35336192\"]\n  42 [size=\"135833600\", alpha=\"0.01\", expect_size=\"40750080\"] \n  42 -> 44 [size =\"40750080\"]\n  42 -> 45 [size =\"40750080\"]\n  43 [size=\"167809707\", alpha=\"0.07\", expect_size=\"50342912\"] \n  44 [size=\"146961067\", alpha=\"0.12\", expect_size=\"44088320\"] \n  44 -> 48 [size =\"44088320\"]\n  44 -> 50 [size =\"44088320\"]\n  45 [size=\"75499520\", alpha=\"0.07\", expect_size=\"22649856\"] \n  45 -> 48 [size =\"22649856\"]\n  45 -> 50 [size =\"22649856\"]\n  46 [size=\"41994240\", alpha=\"0.15\", expect_size=\"12598272\"] \n  46 -> 49 [size =\"12598272\"]\n  47 [size=\"125402453\", alpha=\"0.14\", expect_size=\"37620736\"] \n  47 -> 49 [size =\"37620736\"]\n  47 -> 50 [size =\"37620736\"]\n  48 [size=\"46530560\", alpha=\"0.10\", expect_size=\"13959168\"] \n  49 [size=\"57234773\", alpha=\"0.02\", expect_size=\"17170432\"] \n  50 [size=\"51790507\", alpha=\"0.03\", expect_size=\"15537152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.833.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20621312\", alpha=\"0.13\", expect_size=\"10310656\"] \n  1 -> 3 [size =\"10310656\"]\n  1 -> 4 [size =\"10310656\"]\n  2 [size=\"94093312\", alpha=\"0.12\", expect_size=\"47046656\"] \n  2 -> 3 [size =\"47046656\"]\n  2 -> 4 [size =\"47046656\"]\n  2 -> 5 [size =\"47046656\"]\n  3 [size=\"86673408\", alpha=\"0.20\", expect_size=\"43336704\"] \n  3 -> 6 [size =\"43336704\"]\n  3 -> 8 [size =\"43336704\"]\n  4 [size=\"23224320\", alpha=\"0.13\", expect_size=\"11612160\"] \n  4 -> 6 [size =\"11612160\"]\n  4 -> 7 [size =\"11612160\"]\n  5 [size=\"22771712\", alpha=\"0.00\", expect_size=\"11385856\"] \n  5 -> 7 [size =\"11385856\"]\n  6 [size=\"64571392\", alpha=\"0.13\", expect_size=\"32285696\"] \n  7 [size=\"50089984\", alpha=\"0.01\", expect_size=\"25044992\"] \n  7 -> 9 [size =\"25044992\"]\n  7 -> 10 [size =\"25044992\"]\n  7 -> 11 [size =\"25044992\"]\n  8 [size=\"78630912\", alpha=\"0.10\", expect_size=\"39315456\"] \n  9 [size=\"29935616\", alpha=\"0.13\", expect_size=\"14967808\"] \n  9 -> 12 [size =\"14967808\"]\n  9 -> 13 [size =\"14967808\"]\n  10 [size=\"72740864\", alpha=\"0.06\", expect_size=\"36370432\"] \n  10 -> 12 [size =\"36370432\"]\n  11 [size=\"42321920\", alpha=\"0.01\", expect_size=\"21160960\"] \n  12 [size=\"104765440\", alpha=\"0.17\", expect_size=\"52382720\"] \n  12 -> 14 [size =\"52382720\"]\n  13 [size=\"68823040\", alpha=\"0.00\", expect_size=\"34411520\"] \n  13 -> 14 [size =\"34411520\"]\n  13 -> 15 [size =\"34411520\"]\n  14 [size=\"66551808\", alpha=\"0.07\", expect_size=\"33275904\"] \n  14 -> 17 [size =\"33275904\"]\n  15 [size=\"33206272\", alpha=\"0.12\", expect_size=\"16603136\"] \n  15 -> 16 [size =\"16603136\"]\n  15 -> 17 [size =\"16603136\"]\n  16 [size=\"34347008\", alpha=\"0.06\", expect_size=\"17173504\"] \n  17 [size=\"95598592\", alpha=\"0.18\", expect_size=\"47799296\"] \n  17 -> 18 [size =\"47799296\"]\n  17 -> 19 [size =\"47799296\"]\n  17 -> 20 [size =\"47799296\"]\n  18 [size=\"98752512\", alpha=\"0.16\", expect_size=\"49376256\"] \n  19 [size=\"50798592\", alpha=\"0.07\", expect_size=\"25399296\"] \n  19 -> 21 [size =\"25399296\"]\n  19 -> 22 [size =\"25399296\"]\n  20 [size=\"19216384\", alpha=\"0.05\", expect_size=\"9608192\"] \n  20 -> 23 [size =\"9608192\"]\n  21 [size=\"49223680\", alpha=\"0.06\", expect_size=\"24611840\"] \n  21 -> 25 [size =\"24611840\"]\n  21 -> 26 [size =\"24611840\"]\n  22 [size=\"52852736\", alpha=\"0.04\", expect_size=\"26426368\"] \n  22 -> 24 [size =\"26426368\"]\n  23 [size=\"38608896\", alpha=\"0.18\", expect_size=\"19304448\"] \n  23 -> 24 [size =\"19304448\"]\n  24 [size=\"39008256\", alpha=\"0.16\", expect_size=\"19504128\"] \n  24 -> 27 [size =\"19504128\"]\n  24 -> 28 [size =\"19504128\"]\n  25 [size=\"73150464\", alpha=\"0.15\", expect_size=\"36575232\"] \n  25 -> 27 [size =\"36575232\"]\n  25 -> 28 [size =\"36575232\"]\n  26 [size=\"35366912\", alpha=\"0.06\", expect_size=\"17683456\"] \n  27 [size=\"61415424\", alpha=\"0.06\", expect_size=\"30707712\"] \n  27 -> 30 [size =\"30707712\"]\n  28 [size=\"53174272\", alpha=\"0.00\", expect_size=\"26587136\"] \n  28 -> 29 [size =\"26587136\"]\n  28 -> 30 [size =\"26587136\"]\n  29 [size=\"34328576\", alpha=\"0.18\", expect_size=\"17164288\"] \n  30 [size=\"66977792\", alpha=\"0.09\", expect_size=\"33488896\"] \n  30 -> 31 [size =\"33488896\"]\n  30 -> 32 [size =\"33488896\"]\n  31 [size=\"92008448\", alpha=\"0.08\", expect_size=\"46004224\"] \n  32 [size=\"25186304\", alpha=\"0.06\", expect_size=\"12593152\"] \n  32 -> 33 [size =\"12593152\"]\n  32 -> 34 [size =\"12593152\"]\n  33 [size=\"44490752\", alpha=\"0.16\", expect_size=\"22245376\"] \n  33 -> 35 [size =\"22245376\"]\n  33 -> 36 [size =\"22245376\"]\n  34 [size=\"37365760\", alpha=\"0.18\", expect_size=\"18682880\"] \n  34 -> 35 [size =\"18682880\"]\n  35 [size=\"16551936\", alpha=\"0.05\", expect_size=\"8275968\"] \n  35 -> 37 [size =\"8275968\"]\n  35 -> 38 [size =\"8275968\"]\n  35 -> 39 [size =\"8275968\"]\n  36 [size=\"88707072\", alpha=\"0.18\", expect_size=\"44353536\"] \n  36 -> 39 [size =\"44353536\"]\n  37 [size=\"24803328\", alpha=\"0.08\", expect_size=\"12401664\"] \n  38 [size=\"53188608\", alpha=\"0.17\", expect_size=\"26594304\"] \n  38 -> 41 [size =\"26594304\"]\n  39 [size=\"53264384\", alpha=\"0.14\", expect_size=\"26632192\"] \n  39 -> 40 [size =\"26632192\"]\n  40 [size=\"44480512\", alpha=\"0.13\", expect_size=\"22240256\"] \n  40 -> 43 [size =\"22240256\"]\n  41 [size=\"89094144\", alpha=\"0.01\", expect_size=\"44547072\"] \n  41 -> 42 [size =\"44547072\"]\n  41 -> 43 [size =\"44547072\"]\n  42 [size=\"30197760\", alpha=\"0.17\", expect_size=\"15098880\"] \n  42 -> 44 [size =\"15098880\"]\n  43 [size=\"56444928\", alpha=\"0.20\", expect_size=\"28222464\"] \n  43 -> 44 [size =\"28222464\"]\n  43 -> 45 [size =\"28222464\"]\n  44 [size=\"37431296\", alpha=\"0.08\", expect_size=\"18715648\"] \n  44 -> 47 [size =\"18715648\"]\n  44 -> 48 [size =\"18715648\"]\n  45 [size=\"29220864\", alpha=\"0.10\", expect_size=\"14610432\"] \n  45 -> 46 [size =\"14610432\"]\n  45 -> 47 [size =\"14610432\"]\n  46 [size=\"54538240\", alpha=\"0.17\", expect_size=\"27269120\"] \n  46 -> 50 [size =\"27269120\"]\n  47 [size=\"42872832\", alpha=\"0.15\", expect_size=\"21436416\"] \n  48 [size=\"79337472\", alpha=\"0.02\", expect_size=\"39668736\"] \n  48 -> 49 [size =\"39668736\"]\n  48 -> 50 [size =\"39668736\"]\n  49 [size=\"63457280\", alpha=\"0.14\", expect_size=\"31728640\"] \n  50 [size=\"35545088\", alpha=\"0.18\", expect_size=\"17772544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.834.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38526293\", alpha=\"0.03\", expect_size=\"11557888\"] \n  1 -> 10 [size =\"11557888\"]\n  1 -> 11 [size =\"11557888\"]\n  2 [size=\"26705920\", alpha=\"0.10\", expect_size=\"8011776\"] \n  2 -> 11 [size =\"8011776\"]\n  3 [size=\"30610773\", alpha=\"0.10\", expect_size=\"9183232\"] \n  4 [size=\"59579733\", alpha=\"0.07\", expect_size=\"17873920\"] \n  4 -> 11 [size =\"17873920\"]\n  4 -> 12 [size =\"17873920\"]\n  5 [size=\"131560107\", alpha=\"0.18\", expect_size=\"39468032\"] \n  6 [size=\"152244907\", alpha=\"0.01\", expect_size=\"45673472\"] \n  7 [size=\"129587200\", alpha=\"0.13\", expect_size=\"38876160\"] \n  8 [size=\"156665173\", alpha=\"0.13\", expect_size=\"46999552\"] \n  8 -> 12 [size =\"46999552\"]\n  9 [size=\"173131093\", alpha=\"0.07\", expect_size=\"51939328\"] \n  10 [size=\"77151573\", alpha=\"0.02\", expect_size=\"23145472\"] \n  10 -> 15 [size =\"23145472\"]\n  11 [size=\"71478613\", alpha=\"0.00\", expect_size=\"21443584\"] \n  11 -> 14 [size =\"21443584\"]\n  11 -> 15 [size =\"21443584\"]\n  12 [size=\"92576427\", alpha=\"0.12\", expect_size=\"27772928\"] \n  12 -> 13 [size =\"27772928\"]\n  12 -> 16 [size =\"27772928\"]\n  13 [size=\"167587840\", alpha=\"0.13\", expect_size=\"50276352\"] \n  13 -> 19 [size =\"50276352\"]\n  14 [size=\"87985493\", alpha=\"0.12\", expect_size=\"26395648\"] \n  14 -> 19 [size =\"26395648\"]\n  15 [size=\"140950187\", alpha=\"0.15\", expect_size=\"42285056\"] \n  15 -> 18 [size =\"42285056\"]\n  16 [size=\"128563200\", alpha=\"0.11\", expect_size=\"38568960\"] \n  16 -> 17 [size =\"38568960\"]\n  16 -> 18 [size =\"38568960\"]\n  16 -> 19 [size =\"38568960\"]\n  17 [size=\"137922560\", alpha=\"0.08\", expect_size=\"41376768\"] \n  17 -> 20 [size =\"41376768\"]\n  17 -> 21 [size =\"41376768\"]\n  17 -> 22 [size =\"41376768\"]\n  17 -> 25 [size =\"41376768\"]\n  18 [size=\"79503360\", alpha=\"0.04\", expect_size=\"23851008\"] \n  18 -> 20 [size =\"23851008\"]\n  18 -> 22 [size =\"23851008\"]\n  18 -> 27 [size =\"23851008\"]\n  19 [size=\"21350400\", alpha=\"0.20\", expect_size=\"6405120\"] \n  19 -> 23 [size =\"6405120\"]\n  19 -> 24 [size =\"6405120\"]\n  19 -> 26 [size =\"6405120\"]\n  20 [size=\"79441920\", alpha=\"0.19\", expect_size=\"23832576\"] \n  20 -> 31 [size =\"23832576\"]\n  20 -> 32 [size =\"23832576\"]\n  21 [size=\"95617707\", alpha=\"0.01\", expect_size=\"28685312\"] \n  21 -> 28 [size =\"28685312\"]\n  21 -> 29 [size =\"28685312\"]\n  21 -> 31 [size =\"28685312\"]\n  21 -> 32 [size =\"28685312\"]\n  22 [size=\"97764693\", alpha=\"0.04\", expect_size=\"29329408\"] \n  22 -> 31 [size =\"29329408\"]\n  22 -> 32 [size =\"29329408\"]\n  22 -> 33 [size =\"29329408\"]\n  23 [size=\"32378880\", alpha=\"0.09\", expect_size=\"9713664\"] \n  23 -> 28 [size =\"9713664\"]\n  23 -> 30 [size =\"9713664\"]\n  23 -> 32 [size =\"9713664\"]\n  23 -> 33 [size =\"9713664\"]\n  24 [size=\"131621547\", alpha=\"0.19\", expect_size=\"39486464\"] \n  24 -> 28 [size =\"39486464\"]\n  24 -> 29 [size =\"39486464\"]\n  24 -> 32 [size =\"39486464\"]\n  24 -> 33 [size =\"39486464\"]\n  25 [size=\"71652693\", alpha=\"0.04\", expect_size=\"21495808\"] \n  25 -> 28 [size =\"21495808\"]\n  25 -> 33 [size =\"21495808\"]\n  26 [size=\"33594027\", alpha=\"0.06\", expect_size=\"10078208\"] \n  26 -> 28 [size =\"10078208\"]\n  26 -> 30 [size =\"10078208\"]\n  26 -> 31 [size =\"10078208\"]\n  27 [size=\"118913707\", alpha=\"0.02\", expect_size=\"35674112\"] \n  27 -> 29 [size =\"35674112\"]\n  27 -> 31 [size =\"35674112\"]\n  28 [size=\"24548693\", alpha=\"0.16\", expect_size=\"7364608\"] \n  29 [size=\"52763307\", alpha=\"0.09\", expect_size=\"15828992\"] \n  30 [size=\"49967787\", alpha=\"0.11\", expect_size=\"14990336\"] \n  31 [size=\"41970347\", alpha=\"0.19\", expect_size=\"12591104\"] \n  31 -> 34 [size =\"12591104\"]\n  31 -> 35 [size =\"12591104\"]\n  32 [size=\"49831253\", alpha=\"0.16\", expect_size=\"14949376\"] \n  32 -> 34 [size =\"14949376\"]\n  32 -> 37 [size =\"14949376\"]\n  33 [size=\"82780160\", alpha=\"0.13\", expect_size=\"24834048\"] \n  33 -> 34 [size =\"24834048\"]\n  33 -> 36 [size =\"24834048\"]\n  33 -> 37 [size =\"24834048\"]\n  34 [size=\"153951573\", alpha=\"0.19\", expect_size=\"46185472\"] \n  34 -> 39 [size =\"46185472\"]\n  34 -> 40 [size =\"46185472\"]\n  34 -> 43 [size =\"46185472\"]\n  34 -> 44 [size =\"46185472\"]\n  35 [size=\"148165973\", alpha=\"0.20\", expect_size=\"44449792\"] \n  35 -> 38 [size =\"44449792\"]\n  35 -> 39 [size =\"44449792\"]\n  35 -> 40 [size =\"44449792\"]\n  35 -> 42 [size =\"44449792\"]\n  35 -> 45 [size =\"44449792\"]\n  36 [size=\"22220800\", alpha=\"0.15\", expect_size=\"6666240\"] \n  36 -> 38 [size =\"6666240\"]\n  36 -> 43 [size =\"6666240\"]\n  36 -> 44 [size =\"6666240\"]\n  37 [size=\"68174507\", alpha=\"0.06\", expect_size=\"20452352\"] \n  37 -> 38 [size =\"20452352\"]\n  37 -> 41 [size =\"20452352\"]\n  37 -> 44 [size =\"20452352\"]\n  37 -> 45 [size =\"20452352\"]\n  38 [size=\"83572053\", alpha=\"0.05\", expect_size=\"25071616\"] \n  38 -> 47 [size =\"25071616\"]\n  38 -> 50 [size =\"25071616\"]\n  39 [size=\"50315947\", alpha=\"0.04\", expect_size=\"15094784\"] \n  39 -> 46 [size =\"15094784\"]\n  39 -> 47 [size =\"15094784\"]\n  39 -> 48 [size =\"15094784\"]\n  39 -> 50 [size =\"15094784\"]\n  40 [size=\"124064427\", alpha=\"0.11\", expect_size=\"37219328\"] \n  40 -> 46 [size =\"37219328\"]\n  40 -> 47 [size =\"37219328\"]\n  40 -> 48 [size =\"37219328\"]\n  40 -> 50 [size =\"37219328\"]\n  41 [size=\"49920000\", alpha=\"0.08\", expect_size=\"14976000\"] \n  41 -> 48 [size =\"14976000\"]\n  42 [size=\"39171413\", alpha=\"0.15\", expect_size=\"11751424\"] \n  42 -> 48 [size =\"11751424\"]\n  42 -> 49 [size =\"11751424\"]\n  42 -> 50 [size =\"11751424\"]\n  43 [size=\"166922240\", alpha=\"0.05\", expect_size=\"50076672\"] \n  43 -> 47 [size =\"50076672\"]\n  43 -> 49 [size =\"50076672\"]\n  44 [size=\"111424853\", alpha=\"0.08\", expect_size=\"33427456\"] \n  44 -> 49 [size =\"33427456\"]\n  45 [size=\"100474880\", alpha=\"0.19\", expect_size=\"30142464\"] \n  45 -> 49 [size =\"30142464\"]\n  46 [size=\"100263253\", alpha=\"0.11\", expect_size=\"30078976\"] \n  47 [size=\"64590507\", alpha=\"0.17\", expect_size=\"19377152\"] \n  48 [size=\"113902933\", alpha=\"0.03\", expect_size=\"34170880\"] \n  49 [size=\"152948053\", alpha=\"0.14\", expect_size=\"45884416\"] \n  50 [size=\"28310187\", alpha=\"0.09\", expect_size=\"8493056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.835.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"30457856\", alpha=\"0.12\", expect_size=\"15228928\"] \n  1 -> 32 [size =\"15228928\"]\n  1 -> 37 [size =\"15228928\"]\n  2 [size=\"41947136\", alpha=\"0.07\", expect_size=\"20973568\"] \n  2 -> 27 [size =\"20973568\"]\n  2 -> 29 [size =\"20973568\"]\n  2 -> 31 [size =\"20973568\"]\n  2 -> 43 [size =\"20973568\"]\n  2 -> 46 [size =\"20973568\"]\n  2 -> 49 [size =\"20973568\"]\n  3 [size=\"17778688\", alpha=\"0.09\", expect_size=\"8889344\"] \n  3 -> 34 [size =\"8889344\"]\n  3 -> 37 [size =\"8889344\"]\n  3 -> 41 [size =\"8889344\"]\n  3 -> 43 [size =\"8889344\"]\n  3 -> 45 [size =\"8889344\"]\n  4 [size=\"53966848\", alpha=\"0.14\", expect_size=\"26983424\"] \n  4 -> 26 [size =\"26983424\"]\n  4 -> 27 [size =\"26983424\"]\n  4 -> 46 [size =\"26983424\"]\n  4 -> 47 [size =\"26983424\"]\n  4 -> 49 [size =\"26983424\"]\n  4 -> 50 [size =\"26983424\"]\n  5 [size=\"101412864\", alpha=\"0.08\", expect_size=\"50706432\"] \n  5 -> 29 [size =\"50706432\"]\n  5 -> 31 [size =\"50706432\"]\n  5 -> 37 [size =\"50706432\"]\n  5 -> 42 [size =\"50706432\"]\n  5 -> 43 [size =\"50706432\"]\n  5 -> 46 [size =\"50706432\"]\n  6 [size=\"12988416\", alpha=\"0.16\", expect_size=\"6494208\"] \n  6 -> 26 [size =\"6494208\"]\n  6 -> 29 [size =\"6494208\"]\n  6 -> 31 [size =\"6494208\"]\n  6 -> 37 [size =\"6494208\"]\n  6 -> 42 [size =\"6494208\"]\n  6 -> 45 [size =\"6494208\"]\n  6 -> 49 [size =\"6494208\"]\n  7 [size=\"103567360\", alpha=\"0.11\", expect_size=\"51783680\"] \n  7 -> 29 [size =\"51783680\"]\n  7 -> 31 [size =\"51783680\"]\n  7 -> 33 [size =\"51783680\"]\n  7 -> 37 [size =\"51783680\"]\n  7 -> 41 [size =\"51783680\"]\n  7 -> 44 [size =\"51783680\"]\n  8 [size=\"73650176\", alpha=\"0.05\", expect_size=\"36825088\"] \n  8 -> 31 [size =\"36825088\"]\n  8 -> 36 [size =\"36825088\"]\n  8 -> 37 [size =\"36825088\"]\n  8 -> 40 [size =\"36825088\"]\n  8 -> 41 [size =\"36825088\"]\n  8 -> 49 [size =\"36825088\"]\n  9 [size=\"56350720\", alpha=\"0.01\", expect_size=\"28175360\"] \n  9 -> 36 [size =\"28175360\"]\n  9 -> 41 [size =\"28175360\"]\n  9 -> 45 [size =\"28175360\"]\n  9 -> 49 [size =\"28175360\"]\n  9 -> 50 [size =\"28175360\"]\n  10 [size=\"35452928\", alpha=\"0.04\", expect_size=\"17726464\"] \n  10 -> 26 [size =\"17726464\"]\n  10 -> 30 [size =\"17726464\"]\n  10 -> 41 [size =\"17726464\"]\n  10 -> 42 [size =\"17726464\"]\n  10 -> 44 [size =\"17726464\"]\n  11 [size=\"19359744\", alpha=\"0.17\", expect_size=\"9679872\"] \n  11 -> 30 [size =\"9679872\"]\n  11 -> 31 [size =\"9679872\"]\n  11 -> 36 [size =\"9679872\"]\n  11 -> 40 [size =\"9679872\"]\n  11 -> 41 [size =\"9679872\"]\n  11 -> 42 [size =\"9679872\"]\n  11 -> 44 [size =\"9679872\"]\n  11 -> 49 [size =\"9679872\"]\n  11 -> 50 [size =\"9679872\"]\n  12 [size=\"76834816\", alpha=\"0.15\", expect_size=\"38417408\"] \n  12 -> 33 [size =\"38417408\"]\n  12 -> 41 [size =\"38417408\"]\n  12 -> 43 [size =\"38417408\"]\n  12 -> 48 [size =\"38417408\"]\n  12 -> 49 [size =\"38417408\"]\n  13 [size=\"13215744\", alpha=\"0.01\", expect_size=\"6607872\"] \n  13 -> 37 [size =\"6607872\"]\n  13 -> 41 [size =\"6607872\"]\n  13 -> 43 [size =\"6607872\"]\n  13 -> 45 [size =\"6607872\"]\n  13 -> 46 [size =\"6607872\"]\n  13 -> 49 [size =\"6607872\"]\n  14 [size=\"54032384\", alpha=\"0.08\", expect_size=\"27016192\"] \n  14 -> 35 [size =\"27016192\"]\n  14 -> 36 [size =\"27016192\"]\n  14 -> 39 [size =\"27016192\"]\n  14 -> 40 [size =\"27016192\"]\n  14 -> 41 [size =\"27016192\"]\n  14 -> 43 [size =\"27016192\"]\n  14 -> 45 [size =\"27016192\"]\n  14 -> 47 [size =\"27016192\"]\n  15 [size=\"23599104\", alpha=\"0.08\", expect_size=\"11799552\"] \n  15 -> 30 [size =\"11799552\"]\n  15 -> 32 [size =\"11799552\"]\n  15 -> 36 [size =\"11799552\"]\n  15 -> 38 [size =\"11799552\"]\n  15 -> 40 [size =\"11799552\"]\n  15 -> 45 [size =\"11799552\"]\n  15 -> 50 [size =\"11799552\"]\n  16 [size=\"62658560\", alpha=\"0.12\", expect_size=\"31329280\"] \n  16 -> 26 [size =\"31329280\"]\n  16 -> 36 [size =\"31329280\"]\n  16 -> 40 [size =\"31329280\"]\n  16 -> 42 [size =\"31329280\"]\n  16 -> 43 [size =\"31329280\"]\n  16 -> 45 [size =\"31329280\"]\n  16 -> 46 [size =\"31329280\"]\n  17 [size=\"45322240\", alpha=\"0.08\", expect_size=\"22661120\"] \n  17 -> 29 [size =\"22661120\"]\n  17 -> 32 [size =\"22661120\"]\n  17 -> 34 [size =\"22661120\"]\n  17 -> 47 [size =\"22661120\"]\n  17 -> 49 [size =\"22661120\"]\n  18 [size=\"97292288\", alpha=\"0.05\", expect_size=\"48646144\"] \n  18 -> 29 [size =\"48646144\"]\n  18 -> 37 [size =\"48646144\"]\n  18 -> 43 [size =\"48646144\"]\n  18 -> 46 [size =\"48646144\"]\n  19 [size=\"26513408\", alpha=\"0.07\", expect_size=\"13256704\"] \n  19 -> 31 [size =\"13256704\"]\n  19 -> 33 [size =\"13256704\"]\n  19 -> 39 [size =\"13256704\"]\n  19 -> 43 [size =\"13256704\"]\n  19 -> 44 [size =\"13256704\"]\n  19 -> 47 [size =\"13256704\"]\n  19 -> 49 [size =\"13256704\"]\n  20 [size=\"31326208\", alpha=\"0.10\", expect_size=\"15663104\"] \n  20 -> 36 [size =\"15663104\"]\n  20 -> 40 [size =\"15663104\"]\n  20 -> 41 [size =\"15663104\"]\n  20 -> 43 [size =\"15663104\"]\n  20 -> 46 [size =\"15663104\"]\n  21 [size=\"49354752\", alpha=\"0.16\", expect_size=\"24677376\"] \n  21 -> 36 [size =\"24677376\"]\n  21 -> 37 [size =\"24677376\"]\n  21 -> 39 [size =\"24677376\"]\n  21 -> 49 [size =\"24677376\"]\n  22 [size=\"35823616\", alpha=\"0.10\", expect_size=\"17911808\"] \n  22 -> 26 [size =\"17911808\"]\n  22 -> 36 [size =\"17911808\"]\n  22 -> 48 [size =\"17911808\"]\n  23 [size=\"11757568\", alpha=\"0.05\", expect_size=\"5878784\"] \n  23 -> 36 [size =\"5878784\"]\n  23 -> 43 [size =\"5878784\"]\n  23 -> 44 [size =\"5878784\"]\n  23 -> 49 [size =\"5878784\"]\n  24 [size=\"16551936\", alpha=\"0.09\", expect_size=\"8275968\"] \n  24 -> 28 [size =\"8275968\"]\n  24 -> 33 [size =\"8275968\"]\n  24 -> 36 [size =\"8275968\"]\n  24 -> 41 [size =\"8275968\"]\n  24 -> 42 [size =\"8275968\"]\n  24 -> 45 [size =\"8275968\"]\n  24 -> 46 [size =\"8275968\"]\n  24 -> 49 [size =\"8275968\"]\n  25 [size=\"55736320\", alpha=\"0.12\", expect_size=\"27868160\"] \n  25 -> 37 [size =\"27868160\"]\n  25 -> 41 [size =\"27868160\"]\n  25 -> 43 [size =\"27868160\"]\n  25 -> 45 [size =\"27868160\"]\n  25 -> 46 [size =\"27868160\"]\n  26 [size=\"95537152\", alpha=\"0.16\", expect_size=\"47768576\"] \n  27 [size=\"55934976\", alpha=\"0.00\", expect_size=\"27967488\"] \n  28 [size=\"95533056\", alpha=\"0.17\", expect_size=\"47766528\"] \n  29 [size=\"24008704\", alpha=\"0.04\", expect_size=\"12004352\"] \n  30 [size=\"57380864\", alpha=\"0.16\", expect_size=\"28690432\"] \n  31 [size=\"102658048\", alpha=\"0.10\", expect_size=\"51329024\"] \n  32 [size=\"85440512\", alpha=\"0.18\", expect_size=\"42720256\"] \n  33 [size=\"37193728\", alpha=\"0.07\", expect_size=\"18596864\"] \n  34 [size=\"59582464\", alpha=\"0.05\", expect_size=\"29791232\"] \n  35 [size=\"101718016\", alpha=\"0.05\", expect_size=\"50859008\"] \n  36 [size=\"65785856\", alpha=\"0.17\", expect_size=\"32892928\"] \n  37 [size=\"48662528\", alpha=\"0.16\", expect_size=\"24331264\"] \n  38 [size=\"49053696\", alpha=\"0.14\", expect_size=\"24526848\"] \n  39 [size=\"35758080\", alpha=\"0.14\", expect_size=\"17879040\"] \n  40 [size=\"54638592\", alpha=\"0.20\", expect_size=\"27319296\"] \n  41 [size=\"36290560\", alpha=\"0.13\", expect_size=\"18145280\"] \n  42 [size=\"83961856\", alpha=\"0.12\", expect_size=\"41980928\"] \n  43 [size=\"75257856\", alpha=\"0.11\", expect_size=\"37628928\"] \n  44 [size=\"12912640\", alpha=\"0.12\", expect_size=\"6456320\"] \n  45 [size=\"34842624\", alpha=\"0.02\", expect_size=\"17421312\"] \n  46 [size=\"59793408\", alpha=\"0.10\", expect_size=\"29896704\"] \n  47 [size=\"45561856\", alpha=\"0.08\", expect_size=\"22780928\"] \n  48 [size=\"26990592\", alpha=\"0.03\", expect_size=\"13495296\"] \n  49 [size=\"90884096\", alpha=\"0.02\", expect_size=\"45442048\"] \n  50 [size=\"64528384\", alpha=\"0.10\", expect_size=\"32264192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.836.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87117824\", alpha=\"0.19\", expect_size=\"43558912\"] \n  1 -> 41 [size =\"43558912\"]\n  1 -> 43 [size =\"43558912\"]\n  1 -> 45 [size =\"43558912\"]\n  2 [size=\"83075072\", alpha=\"0.08\", expect_size=\"41537536\"] \n  2 -> 43 [size =\"41537536\"]\n  2 -> 45 [size =\"41537536\"]\n  2 -> 48 [size =\"41537536\"]\n  3 [size=\"27598848\", alpha=\"0.19\", expect_size=\"13799424\"] \n  3 -> 41 [size =\"13799424\"]\n  3 -> 43 [size =\"13799424\"]\n  3 -> 44 [size =\"13799424\"]\n  3 -> 48 [size =\"13799424\"]\n  4 [size=\"36562944\", alpha=\"0.05\", expect_size=\"18281472\"] \n  4 -> 41 [size =\"18281472\"]\n  4 -> 43 [size =\"18281472\"]\n  4 -> 44 [size =\"18281472\"]\n  4 -> 45 [size =\"18281472\"]\n  4 -> 49 [size =\"18281472\"]\n  5 [size=\"98908160\", alpha=\"0.05\", expect_size=\"49454080\"] \n  5 -> 43 [size =\"49454080\"]\n  5 -> 47 [size =\"49454080\"]\n  6 [size=\"61773824\", alpha=\"0.03\", expect_size=\"30886912\"] \n  6 -> 43 [size =\"30886912\"]\n  6 -> 49 [size =\"30886912\"]\n  7 [size=\"21557248\", alpha=\"0.19\", expect_size=\"10778624\"] \n  7 -> 43 [size =\"10778624\"]\n  7 -> 44 [size =\"10778624\"]\n  7 -> 48 [size =\"10778624\"]\n  7 -> 49 [size =\"10778624\"]\n  8 [size=\"94976000\", alpha=\"0.14\", expect_size=\"47488000\"] \n  8 -> 45 [size =\"47488000\"]\n  8 -> 48 [size =\"47488000\"]\n  8 -> 48 [size =\"47488000\"]\n  8 -> 49 [size =\"47488000\"]\n  9 [size=\"94124032\", alpha=\"0.14\", expect_size=\"47062016\"] \n  9 -> 48 [size =\"47062016\"]\n  9 -> 49 [size =\"47062016\"]\n  10 [size=\"92530688\", alpha=\"0.11\", expect_size=\"46265344\"] \n  10 -> 45 [size =\"46265344\"]\n  10 -> 49 [size =\"46265344\"]\n  11 [size=\"59633664\", alpha=\"0.07\", expect_size=\"29816832\"] \n  11 -> 43 [size =\"29816832\"]\n  11 -> 49 [size =\"29816832\"]\n  12 [size=\"56997888\", alpha=\"0.10\", expect_size=\"28498944\"] \n  12 -> 43 [size =\"28498944\"]\n  12 -> 49 [size =\"28498944\"]\n  13 [size=\"95690752\", alpha=\"0.09\", expect_size=\"47845376\"] \n  13 -> 43 [size =\"47845376\"]\n  13 -> 48 [size =\"47845376\"]\n  13 -> 49 [size =\"47845376\"]\n  14 [size=\"90443776\", alpha=\"0.12\", expect_size=\"45221888\"] \n  14 -> 49 [size =\"45221888\"]\n  15 [size=\"21811200\", alpha=\"0.00\", expect_size=\"10905600\"] \n  15 -> 43 [size =\"10905600\"]\n  15 -> 44 [size =\"10905600\"]\n  16 [size=\"47030272\", alpha=\"0.01\", expect_size=\"23515136\"] \n  16 -> 42 [size =\"23515136\"]\n  16 -> 45 [size =\"23515136\"]\n  16 -> 46 [size =\"23515136\"]\n  17 [size=\"59136000\", alpha=\"0.10\", expect_size=\"29568000\"] \n  17 -> 40 [size =\"29568000\"]\n  17 -> 45 [size =\"29568000\"]\n  17 -> 49 [size =\"29568000\"]\n  18 [size=\"53702656\", alpha=\"0.05\", expect_size=\"26851328\"] \n  18 -> 45 [size =\"26851328\"]\n  18 -> 48 [size =\"26851328\"]\n  19 [size=\"24641536\", alpha=\"0.05\", expect_size=\"12320768\"] \n  19 -> 41 [size =\"12320768\"]\n  19 -> 43 [size =\"12320768\"]\n  19 -> 44 [size =\"12320768\"]\n  19 -> 48 [size =\"12320768\"]\n  20 [size=\"92243968\", alpha=\"0.11\", expect_size=\"46121984\"] \n  20 -> 41 [size =\"46121984\"]\n  20 -> 43 [size =\"46121984\"]\n  20 -> 48 [size =\"46121984\"]\n  21 [size=\"51589120\", alpha=\"0.14\", expect_size=\"25794560\"] \n  21 -> 48 [size =\"25794560\"]\n  21 -> 49 [size =\"25794560\"]\n  22 [size=\"86538240\", alpha=\"0.13\", expect_size=\"43269120\"] \n  22 -> 44 [size =\"43269120\"]\n  22 -> 45 [size =\"43269120\"]\n  22 -> 48 [size =\"43269120\"]\n  22 -> 49 [size =\"43269120\"]\n  23 [size=\"36999168\", alpha=\"0.14\", expect_size=\"18499584\"] \n  23 -> 44 [size =\"18499584\"]\n  23 -> 45 [size =\"18499584\"]\n  23 -> 48 [size =\"18499584\"]\n  23 -> 49 [size =\"18499584\"]\n  24 [size=\"78845952\", alpha=\"0.02\", expect_size=\"39422976\"] \n  24 -> 43 [size =\"39422976\"]\n  24 -> 45 [size =\"39422976\"]\n  24 -> 46 [size =\"39422976\"]\n  24 -> 47 [size =\"39422976\"]\n  25 [size=\"41314304\", alpha=\"0.08\", expect_size=\"20657152\"] \n  25 -> 41 [size =\"20657152\"]\n  25 -> 44 [size =\"20657152\"]\n  25 -> 45 [size =\"20657152\"]\n  26 [size=\"43032576\", alpha=\"0.05\", expect_size=\"21516288\"] \n  26 -> 45 [size =\"21516288\"]\n  26 -> 48 [size =\"21516288\"]\n  27 [size=\"47896576\", alpha=\"0.05\", expect_size=\"23948288\"] \n  27 -> 40 [size =\"23948288\"]\n  27 -> 44 [size =\"23948288\"]\n  27 -> 45 [size =\"23948288\"]\n  27 -> 49 [size =\"23948288\"]\n  28 [size=\"93681664\", alpha=\"0.02\", expect_size=\"46840832\"] \n  28 -> 41 [size =\"46840832\"]\n  28 -> 45 [size =\"46840832\"]\n  28 -> 46 [size =\"46840832\"]\n  28 -> 49 [size =\"46840832\"]\n  29 [size=\"22900736\", alpha=\"0.17\", expect_size=\"11450368\"] \n  29 -> 40 [size =\"11450368\"]\n  29 -> 44 [size =\"11450368\"]\n  29 -> 45 [size =\"11450368\"]\n  29 -> 46 [size =\"11450368\"]\n  30 [size=\"44822528\", alpha=\"0.09\", expect_size=\"22411264\"] \n  30 -> 41 [size =\"22411264\"]\n  30 -> 44 [size =\"22411264\"]\n  30 -> 45 [size =\"22411264\"]\n  31 [size=\"98254848\", alpha=\"0.12\", expect_size=\"49127424\"] \n  31 -> 41 [size =\"49127424\"]\n  31 -> 44 [size =\"49127424\"]\n  32 [size=\"71090176\", alpha=\"0.05\", expect_size=\"35545088\"] \n  32 -> 44 [size =\"35545088\"]\n  32 -> 44 [size =\"35545088\"]\n  32 -> 45 [size =\"35545088\"]\n  33 [size=\"35917824\", alpha=\"0.16\", expect_size=\"17958912\"] \n  33 -> 41 [size =\"17958912\"]\n  33 -> 43 [size =\"17958912\"]\n  33 -> 44 [size =\"17958912\"]\n  34 [size=\"104226816\", alpha=\"0.03\", expect_size=\"52113408\"] \n  34 -> 44 [size =\"52113408\"]\n  35 [size=\"18976768\", alpha=\"0.14\", expect_size=\"9488384\"] \n  35 -> 43 [size =\"9488384\"]\n  35 -> 45 [size =\"9488384\"]\n  35 -> 50 [size =\"9488384\"]\n  36 [size=\"57337856\", alpha=\"0.11\", expect_size=\"28668928\"] \n  36 -> 42 [size =\"28668928\"]\n  37 [size=\"81852416\", alpha=\"0.20\", expect_size=\"40926208\"] \n  37 -> 49 [size =\"40926208\"]\n  38 [size=\"103596032\", alpha=\"0.17\", expect_size=\"51798016\"] \n  38 -> 40 [size =\"51798016\"]\n  38 -> 43 [size =\"51798016\"]\n  38 -> 49 [size =\"51798016\"]\n  39 [size=\"18315264\", alpha=\"0.17\", expect_size=\"9157632\"] \n  39 -> 49 [size =\"9157632\"]\n  40 [size=\"98394112\", alpha=\"0.15\", expect_size=\"49197056\"] \n  41 [size=\"48388096\", alpha=\"0.01\", expect_size=\"24194048\"] \n  42 [size=\"11821056\", alpha=\"0.04\", expect_size=\"5910528\"] \n  43 [size=\"35203072\", alpha=\"0.12\", expect_size=\"17601536\"] \n  44 [size=\"14999552\", alpha=\"0.14\", expect_size=\"7499776\"] \n  45 [size=\"31168512\", alpha=\"0.03\", expect_size=\"15584256\"] \n  46 [size=\"95033344\", alpha=\"0.20\", expect_size=\"47516672\"] \n  47 [size=\"54396928\", alpha=\"0.03\", expect_size=\"27198464\"] \n  48 [size=\"52279296\", alpha=\"0.05\", expect_size=\"26139648\"] \n  49 [size=\"37531648\", alpha=\"0.09\", expect_size=\"18765824\"] \n  50 [size=\"24305664\", alpha=\"0.01\", expect_size=\"12152832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.837.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61173760\", alpha=\"0.14\", expect_size=\"18352128\"] \n  1 -> 2 [size =\"18352128\"]\n  2 [size=\"117179733\", alpha=\"0.18\", expect_size=\"35153920\"] \n  2 -> 3 [size =\"35153920\"]\n  3 [size=\"63726933\", alpha=\"0.06\", expect_size=\"19118080\"] \n  3 -> 4 [size =\"19118080\"]\n  4 [size=\"128614400\", alpha=\"0.17\", expect_size=\"38584320\"] \n  4 -> 5 [size =\"38584320\"]\n  5 [size=\"126115840\", alpha=\"0.17\", expect_size=\"37834752\"] \n  5 -> 6 [size =\"37834752\"]\n  6 [size=\"114739200\", alpha=\"0.01\", expect_size=\"34421760\"] \n  6 -> 7 [size =\"34421760\"]\n  7 [size=\"155173547\", alpha=\"0.01\", expect_size=\"46552064\"] \n  7 -> 8 [size =\"46552064\"]\n  8 [size=\"139103573\", alpha=\"0.14\", expect_size=\"41731072\"] \n  8 -> 9 [size =\"41731072\"]\n  9 [size=\"117544960\", alpha=\"0.04\", expect_size=\"35263488\"] \n  9 -> 10 [size =\"35263488\"]\n  10 [size=\"149381120\", alpha=\"0.16\", expect_size=\"44814336\"] \n  10 -> 11 [size =\"44814336\"]\n  11 [size=\"169396907\", alpha=\"0.04\", expect_size=\"50819072\"] \n  11 -> 12 [size =\"50819072\"]\n  12 [size=\"118350507\", alpha=\"0.14\", expect_size=\"35505152\"] \n  12 -> 13 [size =\"35505152\"]\n  13 [size=\"103690240\", alpha=\"0.01\", expect_size=\"31107072\"] \n  13 -> 14 [size =\"31107072\"]\n  14 [size=\"149104640\", alpha=\"0.08\", expect_size=\"44731392\"] \n  14 -> 15 [size =\"44731392\"]\n  15 [size=\"127877120\", alpha=\"0.15\", expect_size=\"38363136\"] \n  15 -> 16 [size =\"38363136\"]\n  16 [size=\"105943040\", alpha=\"0.08\", expect_size=\"31782912\"] \n  16 -> 17 [size =\"31782912\"]\n  17 [size=\"116838400\", alpha=\"0.08\", expect_size=\"35051520\"] \n  17 -> 18 [size =\"35051520\"]\n  18 [size=\"128344747\", alpha=\"0.14\", expect_size=\"38503424\"] \n  18 -> 19 [size =\"38503424\"]\n  19 [size=\"78107307\", alpha=\"0.04\", expect_size=\"23432192\"] \n  19 -> 20 [size =\"23432192\"]\n  20 [size=\"111527253\", alpha=\"0.20\", expect_size=\"33458176\"] \n  20 -> 21 [size =\"33458176\"]\n  21 [size=\"83449173\", alpha=\"0.02\", expect_size=\"25034752\"] \n  21 -> 22 [size =\"25034752\"]\n  22 [size=\"114722133\", alpha=\"0.16\", expect_size=\"34416640\"] \n  22 -> 23 [size =\"34416640\"]\n  23 [size=\"70891520\", alpha=\"0.16\", expect_size=\"21267456\"] \n  23 -> 24 [size =\"21267456\"]\n  24 [size=\"80155307\", alpha=\"0.10\", expect_size=\"24046592\"] \n  24 -> 25 [size =\"24046592\"]\n  25 [size=\"143813973\", alpha=\"0.18\", expect_size=\"43144192\"] \n  25 -> 26 [size =\"43144192\"]\n  26 [size=\"102727680\", alpha=\"0.19\", expect_size=\"30818304\"] \n  26 -> 27 [size =\"30818304\"]\n  27 [size=\"166266880\", alpha=\"0.17\", expect_size=\"49880064\"] \n  27 -> 28 [size =\"49880064\"]\n  28 [size=\"72478720\", alpha=\"0.10\", expect_size=\"21743616\"] \n  28 -> 29 [size =\"21743616\"]\n  29 [size=\"26139307\", alpha=\"0.17\", expect_size=\"7841792\"] \n  29 -> 30 [size =\"7841792\"]\n  30 [size=\"56026453\", alpha=\"0.20\", expect_size=\"16807936\"] \n  30 -> 31 [size =\"16807936\"]\n  31 [size=\"55043413\", alpha=\"0.02\", expect_size=\"16513024\"] \n  31 -> 32 [size =\"16513024\"]\n  32 [size=\"66894507\", alpha=\"0.17\", expect_size=\"20068352\"] \n  32 -> 33 [size =\"20068352\"]\n  33 [size=\"33993387\", alpha=\"0.03\", expect_size=\"10198016\"] \n  33 -> 34 [size =\"10198016\"]\n  34 [size=\"159883947\", alpha=\"0.06\", expect_size=\"47965184\"] \n  34 -> 35 [size =\"47965184\"]\n  35 [size=\"83841707\", alpha=\"0.03\", expect_size=\"25152512\"] \n  35 -> 36 [size =\"25152512\"]\n  36 [size=\"71796053\", alpha=\"0.11\", expect_size=\"21538816\"] \n  36 -> 37 [size =\"21538816\"]\n  37 [size=\"63726933\", alpha=\"0.12\", expect_size=\"19118080\"] \n  37 -> 38 [size =\"19118080\"]\n  38 [size=\"40041813\", alpha=\"0.07\", expect_size=\"12012544\"] \n  38 -> 39 [size =\"12012544\"]\n  39 [size=\"122371413\", alpha=\"0.09\", expect_size=\"36711424\"] \n  39 -> 40 [size =\"36711424\"]\n  40 [size=\"96215040\", alpha=\"0.04\", expect_size=\"28864512\"] \n  40 -> 41 [size =\"28864512\"]\n  41 [size=\"93480960\", alpha=\"0.07\", expect_size=\"28044288\"] \n  41 -> 42 [size =\"28044288\"]\n  42 [size=\"108803413\", alpha=\"0.02\", expect_size=\"32641024\"] \n  42 -> 43 [size =\"32641024\"]\n  43 [size=\"85770240\", alpha=\"0.04\", expect_size=\"25731072\"] \n  43 -> 44 [size =\"25731072\"]\n  44 [size=\"110605653\", alpha=\"0.14\", expect_size=\"33181696\"] \n  44 -> 45 [size =\"33181696\"]\n  45 [size=\"157648213\", alpha=\"0.20\", expect_size=\"47294464\"] \n  45 -> 46 [size =\"47294464\"]\n  46 [size=\"22732800\", alpha=\"0.17\", expect_size=\"6819840\"] \n  46 -> 47 [size =\"6819840\"]\n  47 [size=\"108895573\", alpha=\"0.13\", expect_size=\"32668672\"] \n  47 -> 48 [size =\"32668672\"]\n  48 [size=\"43642880\", alpha=\"0.16\", expect_size=\"13092864\"] \n  48 -> 49 [size =\"13092864\"]\n  49 [size=\"95133013\", alpha=\"0.20\", expect_size=\"28539904\"] \n  49 -> 50 [size =\"28539904\"]\n  50 [size=\"166710613\", alpha=\"0.08\", expect_size=\"50013184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.838.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120217600\", alpha=\"0.10\", expect_size=\"48087040\"] \n  1 -> 11 [size =\"48087040\"]\n  1 -> 13 [size =\"48087040\"]\n  1 -> 14 [size =\"48087040\"]\n  1 -> 14 [size =\"48087040\"]\n  2 [size=\"63782400\", alpha=\"0.20\", expect_size=\"25512960\"] \n  2 -> 11 [size =\"25512960\"]\n  2 -> 13 [size =\"25512960\"]\n  3 [size=\"120478720\", alpha=\"0.00\", expect_size=\"48191488\"] \n  3 -> 10 [size =\"48191488\"]\n  3 -> 13 [size =\"48191488\"]\n  4 [size=\"25935360\", alpha=\"0.16\", expect_size=\"10374144\"] \n  4 -> 9 [size =\"10374144\"]\n  4 -> 10 [size =\"10374144\"]\n  4 -> 11 [size =\"10374144\"]\n  4 -> 14 [size =\"10374144\"]\n  5 [size=\"62248960\", alpha=\"0.05\", expect_size=\"24899584\"] \n  5 -> 9 [size =\"24899584\"]\n  5 -> 11 [size =\"24899584\"]\n  6 [size=\"59287040\", alpha=\"0.12\", expect_size=\"23714816\"] \n  6 -> 9 [size =\"23714816\"]\n  6 -> 10 [size =\"23714816\"]\n  6 -> 12 [size =\"23714816\"]\n  6 -> 14 [size =\"23714816\"]\n  7 [size=\"41328640\", alpha=\"0.02\", expect_size=\"16531456\"] \n  7 -> 8 [size =\"16531456\"]\n  7 -> 11 [size =\"16531456\"]\n  7 -> 13 [size =\"16531456\"]\n  7 -> 14 [size =\"16531456\"]\n  8 [size=\"29765120\", alpha=\"0.18\", expect_size=\"11906048\"] \n  8 -> 15 [size =\"11906048\"]\n  8 -> 16 [size =\"11906048\"]\n  8 -> 20 [size =\"11906048\"]\n  9 [size=\"124925440\", alpha=\"0.19\", expect_size=\"49970176\"] \n  9 -> 17 [size =\"49970176\"]\n  9 -> 18 [size =\"49970176\"]\n  9 -> 19 [size =\"49970176\"]\n  10 [size=\"90910720\", alpha=\"0.10\", expect_size=\"36364288\"] \n  10 -> 16 [size =\"36364288\"]\n  10 -> 18 [size =\"36364288\"]\n  10 -> 19 [size =\"36364288\"]\n  11 [size=\"102013440\", alpha=\"0.07\", expect_size=\"40805376\"] \n  11 -> 16 [size =\"40805376\"]\n  11 -> 17 [size =\"40805376\"]\n  11 -> 19 [size =\"40805376\"]\n  12 [size=\"41492480\", alpha=\"0.12\", expect_size=\"16596992\"] \n  12 -> 15 [size =\"16596992\"]\n  12 -> 16 [size =\"16596992\"]\n  12 -> 18 [size =\"16596992\"]\n  12 -> 21 [size =\"16596992\"]\n  13 [size=\"39759360\", alpha=\"0.17\", expect_size=\"15903744\"] \n  13 -> 17 [size =\"15903744\"]\n  13 -> 19 [size =\"15903744\"]\n  14 [size=\"39769600\", alpha=\"0.04\", expect_size=\"15907840\"] \n  14 -> 17 [size =\"15907840\"]\n  14 -> 18 [size =\"15907840\"]\n  15 [size=\"14190080\", alpha=\"0.17\", expect_size=\"5676032\"] \n  15 -> 22 [size =\"5676032\"]\n  16 [size=\"45166080\", alpha=\"0.11\", expect_size=\"18066432\"] \n  16 -> 22 [size =\"18066432\"]\n  16 -> 25 [size =\"18066432\"]\n  17 [size=\"118269440\", alpha=\"0.06\", expect_size=\"47307776\"] \n  17 -> 23 [size =\"47307776\"]\n  17 -> 24 [size =\"47307776\"]\n  17 -> 26 [size =\"47307776\"]\n  17 -> 27 [size =\"47307776\"]\n  18 [size=\"129912320\", alpha=\"0.02\", expect_size=\"51964928\"] \n  18 -> 25 [size =\"51964928\"]\n  18 -> 27 [size =\"51964928\"]\n  19 [size=\"116605440\", alpha=\"0.09\", expect_size=\"46642176\"] \n  19 -> 27 [size =\"46642176\"]\n  20 [size=\"113210880\", alpha=\"0.09\", expect_size=\"45284352\"] \n  20 -> 25 [size =\"45284352\"]\n  21 [size=\"56947200\", alpha=\"0.07\", expect_size=\"22778880\"] \n  21 -> 24 [size =\"22778880\"]\n  22 [size=\"96317440\", alpha=\"0.14\", expect_size=\"38526976\"] \n  22 -> 28 [size =\"38526976\"]\n  22 -> 32 [size =\"38526976\"]\n  22 -> 33 [size =\"38526976\"]\n  23 [size=\"49402880\", alpha=\"0.19\", expect_size=\"19761152\"] \n  23 -> 28 [size =\"19761152\"]\n  23 -> 30 [size =\"19761152\"]\n  23 -> 32 [size =\"19761152\"]\n  24 [size=\"33149440\", alpha=\"0.06\", expect_size=\"13259776\"] \n  24 -> 29 [size =\"13259776\"]\n  24 -> 30 [size =\"13259776\"]\n  24 -> 32 [size =\"13259776\"]\n  24 -> 34 [size =\"13259776\"]\n  25 [size=\"53821440\", alpha=\"0.01\", expect_size=\"21528576\"] \n  25 -> 31 [size =\"21528576\"]\n  25 -> 33 [size =\"21528576\"]\n  26 [size=\"34260480\", alpha=\"0.04\", expect_size=\"13704192\"] \n  26 -> 31 [size =\"13704192\"]\n  26 -> 33 [size =\"13704192\"]\n  27 [size=\"96524800\", alpha=\"0.12\", expect_size=\"38609920\"] \n  27 -> 28 [size =\"38609920\"]\n  27 -> 32 [size =\"38609920\"]\n  27 -> 33 [size =\"38609920\"]\n  27 -> 34 [size =\"38609920\"]\n  28 [size=\"14512640\", alpha=\"0.03\", expect_size=\"5805056\"] \n  29 [size=\"28454400\", alpha=\"0.13\", expect_size=\"11381760\"] \n  29 -> 38 [size =\"11381760\"]\n  29 -> 40 [size =\"11381760\"]\n  30 [size=\"82416640\", alpha=\"0.16\", expect_size=\"32966656\"] \n  30 -> 35 [size =\"32966656\"]\n  30 -> 37 [size =\"32966656\"]\n  30 -> 41 [size =\"32966656\"]\n  31 [size=\"17894400\", alpha=\"0.14\", expect_size=\"7157760\"] \n  31 -> 40 [size =\"7157760\"]\n  31 -> 41 [size =\"7157760\"]\n  32 [size=\"59962880\", alpha=\"0.17\", expect_size=\"23985152\"] \n  32 -> 36 [size =\"23985152\"]\n  32 -> 37 [size =\"23985152\"]\n  32 -> 40 [size =\"23985152\"]\n  33 [size=\"23370240\", alpha=\"0.04\", expect_size=\"9348096\"] \n  33 -> 40 [size =\"9348096\"]\n  33 -> 41 [size =\"9348096\"]\n  34 [size=\"15488000\", alpha=\"0.16\", expect_size=\"6195200\"] \n  34 -> 36 [size =\"6195200\"]\n  34 -> 37 [size =\"6195200\"]\n  34 -> 38 [size =\"6195200\"]\n  34 -> 39 [size =\"6195200\"]\n  35 [size=\"49146880\", alpha=\"0.08\", expect_size=\"19658752\"] \n  35 -> 42 [size =\"19658752\"]\n  35 -> 47 [size =\"19658752\"]\n  35 -> 48 [size =\"19658752\"]\n  36 [size=\"55526400\", alpha=\"0.06\", expect_size=\"22210560\"] \n  36 -> 47 [size =\"22210560\"]\n  37 [size=\"80803840\", alpha=\"0.01\", expect_size=\"32321536\"] \n  37 -> 44 [size =\"32321536\"]\n  38 [size=\"35240960\", alpha=\"0.16\", expect_size=\"14096384\"] \n  38 -> 42 [size =\"14096384\"]\n  38 -> 45 [size =\"14096384\"]\n  38 -> 46 [size =\"14096384\"]\n  39 [size=\"53457920\", alpha=\"0.09\", expect_size=\"21383168\"] \n  39 -> 43 [size =\"21383168\"]\n  39 -> 46 [size =\"21383168\"]\n  40 [size=\"129313280\", alpha=\"0.18\", expect_size=\"51725312\"] \n  40 -> 45 [size =\"51725312\"]\n  41 [size=\"104678400\", alpha=\"0.15\", expect_size=\"41871360\"] \n  41 -> 42 [size =\"41871360\"]\n  41 -> 47 [size =\"41871360\"]\n  42 [size=\"68459520\", alpha=\"0.07\", expect_size=\"27383808\"] \n  43 [size=\"49049600\", alpha=\"0.04\", expect_size=\"19619840\"] \n  44 [size=\"73095680\", alpha=\"0.05\", expect_size=\"29238272\"] \n  44 -> 49 [size =\"29238272\"]\n  45 [size=\"49300480\", alpha=\"0.12\", expect_size=\"19720192\"] \n  45 -> 49 [size =\"19720192\"]\n  46 [size=\"96714240\", alpha=\"0.04\", expect_size=\"38685696\"] \n  46 -> 49 [size =\"38685696\"]\n  46 -> 50 [size =\"38685696\"]\n  47 [size=\"129428480\", alpha=\"0.09\", expect_size=\"51771392\"] \n  47 -> 49 [size =\"51771392\"]\n  47 -> 50 [size =\"51771392\"]\n  48 [size=\"16680960\", alpha=\"0.15\", expect_size=\"6672384\"] \n  48 -> 50 [size =\"6672384\"]\n  49 [size=\"111206400\", alpha=\"0.03\", expect_size=\"44482560\"] \n  50 [size=\"44643840\", alpha=\"0.03\", expect_size=\"17857536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.839.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104102400\", alpha=\"0.11\", expect_size=\"41640960\"] \n  1 -> 2 [size =\"41640960\"]\n  2 [size=\"125025280\", alpha=\"0.04\", expect_size=\"50010112\"] \n  2 -> 3 [size =\"50010112\"]\n  3 [size=\"76615680\", alpha=\"0.08\", expect_size=\"30646272\"] \n  3 -> 4 [size =\"30646272\"]\n  4 [size=\"111726080\", alpha=\"0.09\", expect_size=\"44690432\"] \n  4 -> 5 [size =\"44690432\"]\n  5 [size=\"88832000\", alpha=\"0.13\", expect_size=\"35532800\"] \n  5 -> 6 [size =\"35532800\"]\n  6 [size=\"33845760\", alpha=\"0.19\", expect_size=\"13538304\"] \n  6 -> 7 [size =\"13538304\"]\n  7 [size=\"129656320\", alpha=\"0.15\", expect_size=\"51862528\"] \n  7 -> 8 [size =\"51862528\"]\n  8 [size=\"46789120\", alpha=\"0.07\", expect_size=\"18715648\"] \n  8 -> 9 [size =\"18715648\"]\n  9 [size=\"91031040\", alpha=\"0.07\", expect_size=\"36412416\"] \n  9 -> 10 [size =\"36412416\"]\n  10 [size=\"98316800\", alpha=\"0.19\", expect_size=\"39326720\"] \n  10 -> 11 [size =\"39326720\"]\n  11 [size=\"71208960\", alpha=\"0.13\", expect_size=\"28483584\"] \n  11 -> 12 [size =\"28483584\"]\n  12 [size=\"17930240\", alpha=\"0.19\", expect_size=\"7172096\"] \n  12 -> 13 [size =\"7172096\"]\n  13 [size=\"43151360\", alpha=\"0.19\", expect_size=\"17260544\"] \n  13 -> 14 [size =\"17260544\"]\n  14 [size=\"89932800\", alpha=\"0.05\", expect_size=\"35973120\"] \n  14 -> 15 [size =\"35973120\"]\n  15 [size=\"26158080\", alpha=\"0.09\", expect_size=\"10463232\"] \n  15 -> 16 [size =\"10463232\"]\n  16 [size=\"103557120\", alpha=\"0.03\", expect_size=\"41422848\"] \n  16 -> 17 [size =\"41422848\"]\n  17 [size=\"98142720\", alpha=\"0.20\", expect_size=\"39257088\"] \n  17 -> 18 [size =\"39257088\"]\n  18 [size=\"71575040\", alpha=\"0.01\", expect_size=\"28630016\"] \n  18 -> 19 [size =\"28630016\"]\n  19 [size=\"113239040\", alpha=\"0.18\", expect_size=\"45295616\"] \n  19 -> 20 [size =\"45295616\"]\n  20 [size=\"34206720\", alpha=\"0.19\", expect_size=\"13682688\"] \n  20 -> 21 [size =\"13682688\"]\n  21 [size=\"28305920\", alpha=\"0.14\", expect_size=\"11322368\"] \n  21 -> 22 [size =\"11322368\"]\n  22 [size=\"103572480\", alpha=\"0.09\", expect_size=\"41428992\"] \n  22 -> 23 [size =\"41428992\"]\n  23 [size=\"99770880\", alpha=\"0.15\", expect_size=\"39908352\"] \n  23 -> 24 [size =\"39908352\"]\n  24 [size=\"95713280\", alpha=\"0.17\", expect_size=\"38285312\"] \n  24 -> 25 [size =\"38285312\"]\n  25 [size=\"124426240\", alpha=\"0.12\", expect_size=\"49770496\"] \n  25 -> 26 [size =\"49770496\"]\n  26 [size=\"57902080\", alpha=\"0.10\", expect_size=\"23160832\"] \n  26 -> 27 [size =\"23160832\"]\n  27 [size=\"72739840\", alpha=\"0.09\", expect_size=\"29095936\"] \n  27 -> 28 [size =\"29095936\"]\n  28 [size=\"72737280\", alpha=\"0.12\", expect_size=\"29094912\"] \n  28 -> 29 [size =\"29094912\"]\n  29 [size=\"80798720\", alpha=\"0.10\", expect_size=\"32319488\"] \n  29 -> 30 [size =\"32319488\"]\n  30 [size=\"71902720\", alpha=\"0.01\", expect_size=\"28761088\"] \n  30 -> 31 [size =\"28761088\"]\n  31 [size=\"64586240\", alpha=\"0.03\", expect_size=\"25834496\"] \n  31 -> 32 [size =\"25834496\"]\n  32 [size=\"31877120\", alpha=\"0.05\", expect_size=\"12750848\"] \n  32 -> 33 [size =\"12750848\"]\n  33 [size=\"85701120\", alpha=\"0.13\", expect_size=\"34280448\"] \n  33 -> 34 [size =\"34280448\"]\n  34 [size=\"53632000\", alpha=\"0.13\", expect_size=\"21452800\"] \n  34 -> 35 [size =\"21452800\"]\n  35 [size=\"34296320\", alpha=\"0.16\", expect_size=\"13718528\"] \n  35 -> 36 [size =\"13718528\"]\n  36 [size=\"103413760\", alpha=\"0.14\", expect_size=\"41365504\"] \n  36 -> 37 [size =\"41365504\"]\n  37 [size=\"45800960\", alpha=\"0.06\", expect_size=\"18320384\"] \n  37 -> 38 [size =\"18320384\"]\n  38 [size=\"95971840\", alpha=\"0.08\", expect_size=\"38388736\"] \n  38 -> 39 [size =\"38388736\"]\n  39 [size=\"51678720\", alpha=\"0.08\", expect_size=\"20671488\"] \n  39 -> 40 [size =\"20671488\"]\n  40 [size=\"108812800\", alpha=\"0.10\", expect_size=\"43525120\"] \n  40 -> 41 [size =\"43525120\"]\n  41 [size=\"116656640\", alpha=\"0.16\", expect_size=\"46662656\"] \n  41 -> 42 [size =\"46662656\"]\n  42 [size=\"15342080\", alpha=\"0.17\", expect_size=\"6136832\"] \n  42 -> 43 [size =\"6136832\"]\n  43 [size=\"45632000\", alpha=\"0.12\", expect_size=\"18252800\"] \n  43 -> 44 [size =\"18252800\"]\n  44 [size=\"119600640\", alpha=\"0.02\", expect_size=\"47840256\"] \n  44 -> 45 [size =\"47840256\"]\n  45 [size=\"78146560\", alpha=\"0.10\", expect_size=\"31258624\"] \n  45 -> 46 [size =\"31258624\"]\n  46 [size=\"52285440\", alpha=\"0.06\", expect_size=\"20914176\"] \n  46 -> 47 [size =\"20914176\"]\n  47 [size=\"14507520\", alpha=\"0.12\", expect_size=\"5803008\"] \n  47 -> 48 [size =\"5803008\"]\n  48 [size=\"49845760\", alpha=\"0.08\", expect_size=\"19938304\"] \n  48 -> 49 [size =\"19938304\"]\n  49 [size=\"98805760\", alpha=\"0.16\", expect_size=\"39522304\"] \n  49 -> 50 [size =\"39522304\"]\n  50 [size=\"25587200\", alpha=\"0.13\", expect_size=\"10234880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36827136\", alpha=\"0.09\", expect_size=\"18413568\"] \n  1 -> 23 [size =\"18413568\"]\n  1 -> 25 [size =\"18413568\"]\n  1 -> 30 [size =\"18413568\"]\n  1 -> 31 [size =\"18413568\"]\n  1 -> 33 [size =\"18413568\"]\n  2 [size=\"84666368\", alpha=\"0.16\", expect_size=\"42333184\"] \n  2 -> 33 [size =\"42333184\"]\n  2 -> 34 [size =\"42333184\"]\n  2 -> 37 [size =\"42333184\"]\n  3 [size=\"47720448\", alpha=\"0.19\", expect_size=\"23860224\"] \n  3 -> 23 [size =\"23860224\"]\n  3 -> 34 [size =\"23860224\"]\n  4 [size=\"79677440\", alpha=\"0.02\", expect_size=\"39838720\"] \n  4 -> 22 [size =\"39838720\"]\n  4 -> 24 [size =\"39838720\"]\n  4 -> 25 [size =\"39838720\"]\n  4 -> 30 [size =\"39838720\"]\n  4 -> 31 [size =\"39838720\"]\n  4 -> 34 [size =\"39838720\"]\n  5 [size=\"71014400\", alpha=\"0.11\", expect_size=\"35507200\"] \n  5 -> 21 [size =\"35507200\"]\n  5 -> 28 [size =\"35507200\"]\n  5 -> 30 [size =\"35507200\"]\n  5 -> 32 [size =\"35507200\"]\n  5 -> 33 [size =\"35507200\"]\n  6 [size=\"37376000\", alpha=\"0.14\", expect_size=\"18688000\"] \n  6 -> 23 [size =\"18688000\"]\n  6 -> 26 [size =\"18688000\"]\n  6 -> 28 [size =\"18688000\"]\n  6 -> 30 [size =\"18688000\"]\n  6 -> 33 [size =\"18688000\"]\n  7 [size=\"37947392\", alpha=\"0.11\", expect_size=\"18973696\"] \n  7 -> 26 [size =\"18973696\"]\n  7 -> 28 [size =\"18973696\"]\n  7 -> 29 [size =\"18973696\"]\n  7 -> 30 [size =\"18973696\"]\n  7 -> 31 [size =\"18973696\"]\n  7 -> 32 [size =\"18973696\"]\n  7 -> 36 [size =\"18973696\"]\n  8 [size=\"84885504\", alpha=\"0.06\", expect_size=\"42442752\"] \n  8 -> 26 [size =\"42442752\"]\n  8 -> 28 [size =\"42442752\"]\n  8 -> 31 [size =\"42442752\"]\n  8 -> 33 [size =\"42442752\"]\n  8 -> 34 [size =\"42442752\"]\n  9 [size=\"67772416\", alpha=\"0.17\", expect_size=\"33886208\"] \n  9 -> 27 [size =\"33886208\"]\n  9 -> 28 [size =\"33886208\"]\n  9 -> 38 [size =\"33886208\"]\n  10 [size=\"103106560\", alpha=\"0.18\", expect_size=\"51553280\"] \n  10 -> 21 [size =\"51553280\"]\n  10 -> 25 [size =\"51553280\"]\n  10 -> 26 [size =\"51553280\"]\n  10 -> 30 [size =\"51553280\"]\n  10 -> 31 [size =\"51553280\"]\n  10 -> 32 [size =\"51553280\"]\n  10 -> 35 [size =\"51553280\"]\n  11 [size=\"48228352\", alpha=\"0.19\", expect_size=\"24114176\"] \n  11 -> 21 [size =\"24114176\"]\n  11 -> 23 [size =\"24114176\"]\n  11 -> 27 [size =\"24114176\"]\n  11 -> 33 [size =\"24114176\"]\n  12 [size=\"92438528\", alpha=\"0.13\", expect_size=\"46219264\"] \n  12 -> 21 [size =\"46219264\"]\n  12 -> 26 [size =\"46219264\"]\n  12 -> 27 [size =\"46219264\"]\n  12 -> 28 [size =\"46219264\"]\n  12 -> 34 [size =\"46219264\"]\n  13 [size=\"73979904\", alpha=\"0.17\", expect_size=\"36989952\"] \n  13 -> 21 [size =\"36989952\"]\n  13 -> 27 [size =\"36989952\"]\n  13 -> 29 [size =\"36989952\"]\n  13 -> 35 [size =\"36989952\"]\n  13 -> 38 [size =\"36989952\"]\n  14 [size=\"69388288\", alpha=\"0.09\", expect_size=\"34694144\"] \n  14 -> 29 [size =\"34694144\"]\n  14 -> 31 [size =\"34694144\"]\n  14 -> 35 [size =\"34694144\"]\n  14 -> 38 [size =\"34694144\"]\n  15 [size=\"77254656\", alpha=\"0.18\", expect_size=\"38627328\"] \n  15 -> 26 [size =\"38627328\"]\n  15 -> 28 [size =\"38627328\"]\n  15 -> 29 [size =\"38627328\"]\n  15 -> 33 [size =\"38627328\"]\n  15 -> 36 [size =\"38627328\"]\n  16 [size=\"32843776\", alpha=\"0.05\", expect_size=\"16421888\"] \n  16 -> 22 [size =\"16421888\"]\n  16 -> 25 [size =\"16421888\"]\n  16 -> 26 [size =\"16421888\"]\n  16 -> 29 [size =\"16421888\"]\n  16 -> 30 [size =\"16421888\"]\n  16 -> 33 [size =\"16421888\"]\n  16 -> 38 [size =\"16421888\"]\n  17 [size=\"99102720\", alpha=\"0.19\", expect_size=\"49551360\"] \n  17 -> 22 [size =\"49551360\"]\n  17 -> 29 [size =\"49551360\"]\n  17 -> 33 [size =\"49551360\"]\n  17 -> 34 [size =\"49551360\"]\n  18 [size=\"57497600\", alpha=\"0.07\", expect_size=\"28748800\"] \n  18 -> 26 [size =\"28748800\"]\n  18 -> 27 [size =\"28748800\"]\n  18 -> 28 [size =\"28748800\"]\n  18 -> 30 [size =\"28748800\"]\n  18 -> 31 [size =\"28748800\"]\n  18 -> 32 [size =\"28748800\"]\n  18 -> 33 [size =\"28748800\"]\n  19 [size=\"86814720\", alpha=\"0.03\", expect_size=\"43407360\"] \n  19 -> 25 [size =\"43407360\"]\n  19 -> 26 [size =\"43407360\"]\n  19 -> 28 [size =\"43407360\"]\n  19 -> 29 [size =\"43407360\"]\n  19 -> 30 [size =\"43407360\"]\n  19 -> 34 [size =\"43407360\"]\n  19 -> 35 [size =\"43407360\"]\n  20 [size=\"72161280\", alpha=\"0.01\", expect_size=\"36080640\"] \n  20 -> 24 [size =\"36080640\"]\n  20 -> 25 [size =\"36080640\"]\n  20 -> 34 [size =\"36080640\"]\n  21 [size=\"64405504\", alpha=\"0.06\", expect_size=\"32202752\"] \n  21 -> 41 [size =\"32202752\"]\n  21 -> 42 [size =\"32202752\"]\n  21 -> 49 [size =\"32202752\"]\n  21 -> 50 [size =\"32202752\"]\n  22 [size=\"60340224\", alpha=\"0.05\", expect_size=\"30170112\"] \n  22 -> 39 [size =\"30170112\"]\n  22 -> 40 [size =\"30170112\"]\n  22 -> 42 [size =\"30170112\"]\n  22 -> 47 [size =\"30170112\"]\n  22 -> 50 [size =\"30170112\"]\n  23 [size=\"28037120\", alpha=\"0.13\", expect_size=\"14018560\"] \n  23 -> 39 [size =\"14018560\"]\n  23 -> 47 [size =\"14018560\"]\n  23 -> 49 [size =\"14018560\"]\n  23 -> 50 [size =\"14018560\"]\n  24 [size=\"16052224\", alpha=\"0.15\", expect_size=\"8026112\"] \n  24 -> 47 [size =\"8026112\"]\n  24 -> 49 [size =\"8026112\"]\n  25 [size=\"56219648\", alpha=\"0.10\", expect_size=\"28109824\"] \n  25 -> 40 [size =\"28109824\"]\n  25 -> 45 [size =\"28109824\"]\n  25 -> 46 [size =\"28109824\"]\n  25 -> 49 [size =\"28109824\"]\n  26 [size=\"45903872\", alpha=\"0.11\", expect_size=\"22951936\"] \n  26 -> 44 [size =\"22951936\"]\n  26 -> 45 [size =\"22951936\"]\n  26 -> 49 [size =\"22951936\"]\n  27 [size=\"69441536\", alpha=\"0.18\", expect_size=\"34720768\"] \n  27 -> 47 [size =\"34720768\"]\n  27 -> 49 [size =\"34720768\"]\n  27 -> 50 [size =\"34720768\"]\n  28 [size=\"65699840\", alpha=\"0.00\", expect_size=\"32849920\"] \n  28 -> 39 [size =\"32849920\"]\n  28 -> 43 [size =\"32849920\"]\n  28 -> 44 [size =\"32849920\"]\n  28 -> 47 [size =\"32849920\"]\n  28 -> 48 [size =\"32849920\"]\n  29 [size=\"98631680\", alpha=\"0.15\", expect_size=\"49315840\"] \n  29 -> 44 [size =\"49315840\"]\n  30 [size=\"18651136\", alpha=\"0.09\", expect_size=\"9325568\"] \n  30 -> 44 [size =\"9325568\"]\n  30 -> 48 [size =\"9325568\"]\n  30 -> 49 [size =\"9325568\"]\n  31 [size=\"25708544\", alpha=\"0.11\", expect_size=\"12854272\"] \n  31 -> 39 [size =\"12854272\"]\n  31 -> 48 [size =\"12854272\"]\n  31 -> 50 [size =\"12854272\"]\n  32 [size=\"51777536\", alpha=\"0.11\", expect_size=\"25888768\"] \n  32 -> 46 [size =\"25888768\"]\n  32 -> 47 [size =\"25888768\"]\n  32 -> 50 [size =\"25888768\"]\n  33 [size=\"76668928\", alpha=\"0.04\", expect_size=\"38334464\"] \n  33 -> 42 [size =\"38334464\"]\n  33 -> 44 [size =\"38334464\"]\n  33 -> 50 [size =\"38334464\"]\n  34 [size=\"43245568\", alpha=\"0.09\", expect_size=\"21622784\"] \n  34 -> 39 [size =\"21622784\"]\n  34 -> 40 [size =\"21622784\"]\n  34 -> 42 [size =\"21622784\"]\n  34 -> 44 [size =\"21622784\"]\n  35 [size=\"20699136\", alpha=\"0.09\", expect_size=\"10349568\"] \n  35 -> 40 [size =\"10349568\"]\n  35 -> 40 [size =\"10349568\"]\n  35 -> 45 [size =\"10349568\"]\n  36 [size=\"69562368\", alpha=\"0.13\", expect_size=\"34781184\"] \n  36 -> 42 [size =\"34781184\"]\n  36 -> 44 [size =\"34781184\"]\n  36 -> 46 [size =\"34781184\"]\n  37 [size=\"27979776\", alpha=\"0.16\", expect_size=\"13989888\"] \n  37 -> 39 [size =\"13989888\"]\n  37 -> 42 [size =\"13989888\"]\n  37 -> 46 [size =\"13989888\"]\n  37 -> 47 [size =\"13989888\"]\n  37 -> 49 [size =\"13989888\"]\n  37 -> 50 [size =\"13989888\"]\n  38 [size=\"17786880\", alpha=\"0.10\", expect_size=\"8893440\"] \n  38 -> 40 [size =\"8893440\"]\n  38 -> 42 [size =\"8893440\"]\n  38 -> 45 [size =\"8893440\"]\n  38 -> 48 [size =\"8893440\"]\n  38 -> 49 [size =\"8893440\"]\n  38 -> 50 [size =\"8893440\"]\n  39 [size=\"19015680\", alpha=\"0.19\", expect_size=\"9507840\"] \n  40 [size=\"88950784\", alpha=\"0.01\", expect_size=\"44475392\"] \n  41 [size=\"37099520\", alpha=\"0.15\", expect_size=\"18549760\"] \n  42 [size=\"89952256\", alpha=\"0.19\", expect_size=\"44976128\"] \n  43 [size=\"46344192\", alpha=\"0.08\", expect_size=\"23172096\"] \n  44 [size=\"64143360\", alpha=\"0.17\", expect_size=\"32071680\"] \n  45 [size=\"13510656\", alpha=\"0.16\", expect_size=\"6755328\"] \n  46 [size=\"55586816\", alpha=\"0.02\", expect_size=\"27793408\"] \n  47 [size=\"23990272\", alpha=\"0.01\", expect_size=\"11995136\"] \n  48 [size=\"101705728\", alpha=\"0.12\", expect_size=\"50852864\"] \n  49 [size=\"52631552\", alpha=\"0.01\", expect_size=\"26315776\"] \n  50 [size=\"47470592\", alpha=\"0.12\", expect_size=\"23735296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.840.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"63703040\", alpha=\"0.08\", expect_size=\"25481216\"] \n  1 -> 5 [size =\"25481216\"]\n  2 [size=\"21603840\", alpha=\"0.12\", expect_size=\"8641536\"] \n  2 -> 4 [size =\"8641536\"]\n  3 [size=\"76213760\", alpha=\"0.11\", expect_size=\"30485504\"] \n  3 -> 6 [size =\"30485504\"]\n  4 [size=\"127132160\", alpha=\"0.06\", expect_size=\"50852864\"] \n  5 [size=\"94292480\", alpha=\"0.10\", expect_size=\"37716992\"] \n  5 -> 7 [size =\"37716992\"]\n  5 -> 8 [size =\"37716992\"]\n  6 [size=\"78251520\", alpha=\"0.01\", expect_size=\"31300608\"] \n  7 [size=\"77708800\", alpha=\"0.14\", expect_size=\"31083520\"] \n  7 -> 9 [size =\"31083520\"]\n  8 [size=\"95260160\", alpha=\"0.05\", expect_size=\"38104064\"] \n  8 -> 10 [size =\"38104064\"]\n  8 -> 11 [size =\"38104064\"]\n  9 [size=\"21306880\", alpha=\"0.03\", expect_size=\"8522752\"] \n  9 -> 13 [size =\"8522752\"]\n  10 [size=\"32826880\", alpha=\"0.16\", expect_size=\"13130752\"] \n  11 [size=\"101849600\", alpha=\"0.10\", expect_size=\"40739840\"] \n  11 -> 12 [size =\"40739840\"]\n  11 -> 13 [size =\"40739840\"]\n  12 [size=\"28131840\", alpha=\"0.07\", expect_size=\"11252736\"] \n  12 -> 15 [size =\"11252736\"]\n  13 [size=\"100216320\", alpha=\"0.19\", expect_size=\"40086528\"] \n  13 -> 14 [size =\"40086528\"]\n  13 -> 16 [size =\"40086528\"]\n  14 [size=\"48056320\", alpha=\"0.07\", expect_size=\"19222528\"] \n  14 -> 17 [size =\"19222528\"]\n  14 -> 18 [size =\"19222528\"]\n  14 -> 19 [size =\"19222528\"]\n  15 [size=\"80622080\", alpha=\"0.14\", expect_size=\"32248832\"] \n  15 -> 19 [size =\"32248832\"]\n  16 [size=\"23040000\", alpha=\"0.10\", expect_size=\"9216000\"] \n  16 -> 17 [size =\"9216000\"]\n  17 [size=\"29035520\", alpha=\"0.11\", expect_size=\"11614208\"] \n  18 [size=\"109240320\", alpha=\"0.13\", expect_size=\"43696128\"] \n  18 -> 20 [size =\"43696128\"]\n  18 -> 21 [size =\"43696128\"]\n  19 [size=\"21473280\", alpha=\"0.09\", expect_size=\"8589312\"] \n  20 [size=\"36961280\", alpha=\"0.19\", expect_size=\"14784512\"] \n  20 -> 22 [size =\"14784512\"]\n  21 [size=\"130803200\", alpha=\"0.18\", expect_size=\"52321280\"] \n  21 -> 23 [size =\"52321280\"]\n  21 -> 24 [size =\"52321280\"]\n  22 [size=\"71767040\", alpha=\"0.18\", expect_size=\"28706816\"] \n  22 -> 25 [size =\"28706816\"]\n  23 [size=\"115781120\", alpha=\"0.09\", expect_size=\"46312448\"] \n  23 -> 25 [size =\"46312448\"]\n  24 [size=\"109701120\", alpha=\"0.19\", expect_size=\"43880448\"] \n  24 -> 26 [size =\"43880448\"]\n  25 [size=\"32020480\", alpha=\"0.03\", expect_size=\"12808192\"] \n  25 -> 27 [size =\"12808192\"]\n  25 -> 28 [size =\"12808192\"]\n  26 [size=\"113735680\", alpha=\"0.18\", expect_size=\"45494272\"] \n  27 [size=\"53670400\", alpha=\"0.04\", expect_size=\"21468160\"] \n  27 -> 30 [size =\"21468160\"]\n  27 -> 31 [size =\"21468160\"]\n  28 [size=\"119987200\", alpha=\"0.04\", expect_size=\"47994880\"] \n  28 -> 29 [size =\"47994880\"]\n  29 [size=\"79541760\", alpha=\"0.06\", expect_size=\"31816704\"] \n  29 -> 32 [size =\"31816704\"]\n  29 -> 33 [size =\"31816704\"]\n  30 [size=\"13859840\", alpha=\"0.11\", expect_size=\"5543936\"] \n  30 -> 33 [size =\"5543936\"]\n  31 [size=\"126430720\", alpha=\"0.10\", expect_size=\"50572288\"] \n  32 [size=\"113960960\", alpha=\"0.13\", expect_size=\"45584384\"] \n  32 -> 34 [size =\"45584384\"]\n  32 -> 36 [size =\"45584384\"]\n  33 [size=\"102914560\", alpha=\"0.10\", expect_size=\"41165824\"] \n  33 -> 35 [size =\"41165824\"]\n  34 [size=\"38430720\", alpha=\"0.13\", expect_size=\"15372288\"] \n  34 -> 38 [size =\"15372288\"]\n  35 [size=\"34536960\", alpha=\"0.07\", expect_size=\"13814784\"] \n  35 -> 37 [size =\"13814784\"]\n  35 -> 38 [size =\"13814784\"]\n  35 -> 39 [size =\"13814784\"]\n  36 [size=\"54456320\", alpha=\"0.03\", expect_size=\"21782528\"] \n  37 [size=\"45368320\", alpha=\"0.02\", expect_size=\"18147328\"] \n  38 [size=\"71877120\", alpha=\"0.17\", expect_size=\"28750848\"] \n  38 -> 40 [size =\"28750848\"]\n  38 -> 41 [size =\"28750848\"]\n  39 [size=\"98170880\", alpha=\"0.14\", expect_size=\"39268352\"] \n  39 -> 41 [size =\"39268352\"]\n  40 [size=\"14487040\", alpha=\"0.14\", expect_size=\"5794816\"] \n  40 -> 42 [size =\"5794816\"]\n  40 -> 43 [size =\"5794816\"]\n  41 [size=\"76477440\", alpha=\"0.15\", expect_size=\"30590976\"] \n  41 -> 44 [size =\"30590976\"]\n  42 [size=\"18990080\", alpha=\"0.05\", expect_size=\"7596032\"] \n  42 -> 46 [size =\"7596032\"]\n  43 [size=\"92981760\", alpha=\"0.13\", expect_size=\"37192704\"] \n  43 -> 46 [size =\"37192704\"]\n  43 -> 47 [size =\"37192704\"]\n  44 [size=\"31669760\", alpha=\"0.17\", expect_size=\"12667904\"] \n  44 -> 45 [size =\"12667904\"]\n  44 -> 47 [size =\"12667904\"]\n  45 [size=\"105932800\", alpha=\"0.05\", expect_size=\"42373120\"] \n  45 -> 49 [size =\"42373120\"]\n  45 -> 50 [size =\"42373120\"]\n  46 [size=\"29393920\", alpha=\"0.09\", expect_size=\"11757568\"] \n  46 -> 48 [size =\"11757568\"]\n  47 [size=\"47915520\", alpha=\"0.01\", expect_size=\"19166208\"] \n  48 [size=\"59461120\", alpha=\"0.10\", expect_size=\"23784448\"] \n  49 [size=\"42204160\", alpha=\"0.11\", expect_size=\"16881664\"] \n  50 [size=\"122472960\", alpha=\"0.12\", expect_size=\"48989184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.841.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"112501760\", alpha=\"0.16\", expect_size=\"45000704\"] \n  1 -> 42 [size =\"45000704\"]\n  1 -> 47 [size =\"45000704\"]\n  1 -> 48 [size =\"45000704\"]\n  1 -> 49 [size =\"45000704\"]\n  1 -> 50 [size =\"45000704\"]\n  2 [size=\"128972800\", alpha=\"0.17\", expect_size=\"51589120\"] \n  2 -> 42 [size =\"51589120\"]\n  2 -> 43 [size =\"51589120\"]\n  2 -> 44 [size =\"51589120\"]\n  2 -> 49 [size =\"51589120\"]\n  3 [size=\"100625920\", alpha=\"0.11\", expect_size=\"40250368\"] \n  3 -> 43 [size =\"40250368\"]\n  3 -> 45 [size =\"40250368\"]\n  3 -> 49 [size =\"40250368\"]\n  4 [size=\"60528640\", alpha=\"0.16\", expect_size=\"24211456\"] \n  4 -> 43 [size =\"24211456\"]\n  4 -> 45 [size =\"24211456\"]\n  4 -> 47 [size =\"24211456\"]\n  4 -> 49 [size =\"24211456\"]\n  5 [size=\"55687680\", alpha=\"0.12\", expect_size=\"22275072\"] \n  5 -> 45 [size =\"22275072\"]\n  5 -> 49 [size =\"22275072\"]\n  6 [size=\"36177920\", alpha=\"0.15\", expect_size=\"14471168\"] \n  6 -> 42 [size =\"14471168\"]\n  6 -> 43 [size =\"14471168\"]\n  6 -> 45 [size =\"14471168\"]\n  6 -> 46 [size =\"14471168\"]\n  6 -> 48 [size =\"14471168\"]\n  7 [size=\"113628160\", alpha=\"0.20\", expect_size=\"45451264\"] \n  7 -> 42 [size =\"45451264\"]\n  7 -> 43 [size =\"45451264\"]\n  7 -> 45 [size =\"45451264\"]\n  7 -> 48 [size =\"45451264\"]\n  7 -> 49 [size =\"45451264\"]\n  7 -> 50 [size =\"45451264\"]\n  8 [size=\"86218240\", alpha=\"0.00\", expect_size=\"34487296\"] \n  8 -> 42 [size =\"34487296\"]\n  8 -> 43 [size =\"34487296\"]\n  8 -> 44 [size =\"34487296\"]\n  8 -> 49 [size =\"34487296\"]\n  8 -> 49 [size =\"34487296\"]\n  8 -> 50 [size =\"34487296\"]\n  9 [size=\"131036160\", alpha=\"0.13\", expect_size=\"52414464\"] \n  9 -> 42 [size =\"52414464\"]\n  9 -> 43 [size =\"52414464\"]\n  9 -> 45 [size =\"52414464\"]\n  9 -> 49 [size =\"52414464\"]\n  9 -> 50 [size =\"52414464\"]\n  10 [size=\"16235520\", alpha=\"0.12\", expect_size=\"6494208\"] \n  10 -> 42 [size =\"6494208\"]\n  10 -> 43 [size =\"6494208\"]\n  10 -> 47 [size =\"6494208\"]\n  11 [size=\"108920320\", alpha=\"0.12\", expect_size=\"43568128\"] \n  11 -> 42 [size =\"43568128\"]\n  11 -> 43 [size =\"43568128\"]\n  11 -> 47 [size =\"43568128\"]\n  11 -> 50 [size =\"43568128\"]\n  12 [size=\"87290880\", alpha=\"0.17\", expect_size=\"34916352\"] \n  12 -> 43 [size =\"34916352\"]\n  12 -> 43 [size =\"34916352\"]\n  12 -> 45 [size =\"34916352\"]\n  13 [size=\"71413760\", alpha=\"0.03\", expect_size=\"28565504\"] \n  13 -> 43 [size =\"28565504\"]\n  13 -> 45 [size =\"28565504\"]\n  13 -> 45 [size =\"28565504\"]\n  13 -> 50 [size =\"28565504\"]\n  14 [size=\"17784320\", alpha=\"0.07\", expect_size=\"7113728\"] \n  14 -> 43 [size =\"7113728\"]\n  14 -> 48 [size =\"7113728\"]\n  14 -> 49 [size =\"7113728\"]\n  15 [size=\"111938560\", alpha=\"0.17\", expect_size=\"44775424\"] \n  15 -> 42 [size =\"44775424\"]\n  15 -> 43 [size =\"44775424\"]\n  15 -> 48 [size =\"44775424\"]\n  15 -> 49 [size =\"44775424\"]\n  16 [size=\"63895040\", alpha=\"0.07\", expect_size=\"25558016\"] \n  16 -> 43 [size =\"25558016\"]\n  16 -> 43 [size =\"25558016\"]\n  16 -> 44 [size =\"25558016\"]\n  16 -> 45 [size =\"25558016\"]\n  16 -> 49 [size =\"25558016\"]\n  16 -> 50 [size =\"25558016\"]\n  17 [size=\"35379200\", alpha=\"0.06\", expect_size=\"14151680\"] \n  17 -> 43 [size =\"14151680\"]\n  17 -> 47 [size =\"14151680\"]\n  17 -> 50 [size =\"14151680\"]\n  18 [size=\"33582080\", alpha=\"0.18\", expect_size=\"13432832\"] \n  18 -> 42 [size =\"13432832\"]\n  18 -> 43 [size =\"13432832\"]\n  18 -> 45 [size =\"13432832\"]\n  18 -> 50 [size =\"13432832\"]\n  19 [size=\"33868800\", alpha=\"0.07\", expect_size=\"13547520\"] \n  19 -> 50 [size =\"13547520\"]\n  20 [size=\"112030720\", alpha=\"0.08\", expect_size=\"44812288\"] \n  20 -> 42 [size =\"44812288\"]\n  20 -> 43 [size =\"44812288\"]\n  20 -> 44 [size =\"44812288\"]\n  20 -> 49 [size =\"44812288\"]\n  20 -> 50 [size =\"44812288\"]\n  21 [size=\"65244160\", alpha=\"0.05\", expect_size=\"26097664\"] \n  21 -> 45 [size =\"26097664\"]\n  21 -> 46 [size =\"26097664\"]\n  21 -> 49 [size =\"26097664\"]\n  21 -> 49 [size =\"26097664\"]\n  22 [size=\"19294720\", alpha=\"0.02\", expect_size=\"7717888\"] \n  22 -> 44 [size =\"7717888\"]\n  22 -> 49 [size =\"7717888\"]\n  22 -> 50 [size =\"7717888\"]\n  23 [size=\"117360640\", alpha=\"0.13\", expect_size=\"46944256\"] \n  23 -> 42 [size =\"46944256\"]\n  23 -> 43 [size =\"46944256\"]\n  23 -> 44 [size =\"46944256\"]\n  23 -> 48 [size =\"46944256\"]\n  23 -> 50 [size =\"46944256\"]\n  24 [size=\"17495040\", alpha=\"0.13\", expect_size=\"6998016\"] \n  24 -> 42 [size =\"6998016\"]\n  24 -> 45 [size =\"6998016\"]\n  24 -> 49 [size =\"6998016\"]\n  24 -> 50 [size =\"6998016\"]\n  25 [size=\"56870400\", alpha=\"0.00\", expect_size=\"22748160\"] \n  25 -> 43 [size =\"22748160\"]\n  25 -> 45 [size =\"22748160\"]\n  25 -> 50 [size =\"22748160\"]\n  25 -> 50 [size =\"22748160\"]\n  26 [size=\"39902720\", alpha=\"0.11\", expect_size=\"15961088\"] \n  26 -> 44 [size =\"15961088\"]\n  26 -> 45 [size =\"15961088\"]\n  26 -> 49 [size =\"15961088\"]\n  26 -> 50 [size =\"15961088\"]\n  27 [size=\"79308800\", alpha=\"0.19\", expect_size=\"31723520\"] \n  27 -> 43 [size =\"31723520\"]\n  27 -> 45 [size =\"31723520\"]\n  27 -> 50 [size =\"31723520\"]\n  28 [size=\"117647360\", alpha=\"0.19\", expect_size=\"47058944\"] \n  28 -> 45 [size =\"47058944\"]\n  28 -> 49 [size =\"47058944\"]\n  29 [size=\"106298880\", alpha=\"0.20\", expect_size=\"42519552\"] \n  29 -> 42 [size =\"42519552\"]\n  29 -> 45 [size =\"42519552\"]\n  29 -> 49 [size =\"42519552\"]\n  29 -> 50 [size =\"42519552\"]\n  30 [size=\"31086080\", alpha=\"0.01\", expect_size=\"12434432\"] \n  30 -> 43 [size =\"12434432\"]\n  30 -> 45 [size =\"12434432\"]\n  30 -> 47 [size =\"12434432\"]\n  30 -> 50 [size =\"12434432\"]\n  31 [size=\"76106240\", alpha=\"0.18\", expect_size=\"30442496\"] \n  31 -> 42 [size =\"30442496\"]\n  31 -> 43 [size =\"30442496\"]\n  31 -> 44 [size =\"30442496\"]\n  31 -> 47 [size =\"30442496\"]\n  31 -> 49 [size =\"30442496\"]\n  31 -> 50 [size =\"30442496\"]\n  32 [size=\"104824320\", alpha=\"0.07\", expect_size=\"41929728\"] \n  32 -> 42 [size =\"41929728\"]\n  32 -> 43 [size =\"41929728\"]\n  32 -> 49 [size =\"41929728\"]\n  33 [size=\"115148800\", alpha=\"0.07\", expect_size=\"46059520\"] \n  33 -> 42 [size =\"46059520\"]\n  33 -> 43 [size =\"46059520\"]\n  33 -> 48 [size =\"46059520\"]\n  33 -> 49 [size =\"46059520\"]\n  34 [size=\"76628480\", alpha=\"0.07\", expect_size=\"30651392\"] \n  35 [size=\"36692480\", alpha=\"0.04\", expect_size=\"14676992\"] \n  35 -> 43 [size =\"14676992\"]\n  36 [size=\"37918720\", alpha=\"0.10\", expect_size=\"15167488\"] \n  36 -> 45 [size =\"15167488\"]\n  37 [size=\"103380480\", alpha=\"0.20\", expect_size=\"41352192\"] \n  37 -> 42 [size =\"41352192\"]\n  37 -> 45 [size =\"41352192\"]\n  37 -> 48 [size =\"41352192\"]\n  38 [size=\"97671680\", alpha=\"0.13\", expect_size=\"39068672\"] \n  38 -> 45 [size =\"39068672\"]\n  38 -> 47 [size =\"39068672\"]\n  38 -> 50 [size =\"39068672\"]\n  39 [size=\"93905920\", alpha=\"0.09\", expect_size=\"37562368\"] \n  39 -> 42 [size =\"37562368\"]\n  39 -> 44 [size =\"37562368\"]\n  39 -> 45 [size =\"37562368\"]\n  39 -> 50 [size =\"37562368\"]\n  40 [size=\"92044800\", alpha=\"0.02\", expect_size=\"36817920\"] \n  40 -> 42 [size =\"36817920\"]\n  40 -> 45 [size =\"36817920\"]\n  40 -> 48 [size =\"36817920\"]\n  40 -> 50 [size =\"36817920\"]\n  41 [size=\"95219200\", alpha=\"0.04\", expect_size=\"38087680\"] \n  41 -> 42 [size =\"38087680\"]\n  41 -> 44 [size =\"38087680\"]\n  41 -> 45 [size =\"38087680\"]\n  41 -> 48 [size =\"38087680\"]\n  42 [size=\"81280000\", alpha=\"0.08\", expect_size=\"32512000\"] \n  43 [size=\"124405760\", alpha=\"0.08\", expect_size=\"49762304\"] \n  44 [size=\"46983680\", alpha=\"0.10\", expect_size=\"18793472\"] \n  45 [size=\"89612800\", alpha=\"0.19\", expect_size=\"35845120\"] \n  46 [size=\"115202560\", alpha=\"0.12\", expect_size=\"46081024\"] \n  47 [size=\"56573440\", alpha=\"0.17\", expect_size=\"22629376\"] \n  48 [size=\"53962240\", alpha=\"0.20\", expect_size=\"21584896\"] \n  49 [size=\"127848960\", alpha=\"0.18\", expect_size=\"51139584\"] \n  50 [size=\"63068160\", alpha=\"0.19\", expect_size=\"25227264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.842.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125178880\", alpha=\"0.14\", expect_size=\"50071552\"] \n  1 -> 31 [size =\"50071552\"]\n  1 -> 36 [size =\"50071552\"]\n  1 -> 40 [size =\"50071552\"]\n  1 -> 43 [size =\"50071552\"]\n  1 -> 44 [size =\"50071552\"]\n  1 -> 45 [size =\"50071552\"]\n  1 -> 46 [size =\"50071552\"]\n  2 [size=\"63413760\", alpha=\"0.09\", expect_size=\"25365504\"] \n  2 -> 36 [size =\"25365504\"]\n  2 -> 38 [size =\"25365504\"]\n  2 -> 41 [size =\"25365504\"]\n  2 -> 45 [size =\"25365504\"]\n  2 -> 46 [size =\"25365504\"]\n  3 [size=\"55104000\", alpha=\"0.11\", expect_size=\"22041600\"] \n  3 -> 32 [size =\"22041600\"]\n  3 -> 36 [size =\"22041600\"]\n  3 -> 42 [size =\"22041600\"]\n  3 -> 45 [size =\"22041600\"]\n  3 -> 46 [size =\"22041600\"]\n  3 -> 48 [size =\"22041600\"]\n  4 [size=\"99166720\", alpha=\"0.18\", expect_size=\"39666688\"] \n  4 -> 37 [size =\"39666688\"]\n  4 -> 40 [size =\"39666688\"]\n  4 -> 42 [size =\"39666688\"]\n  4 -> 45 [size =\"39666688\"]\n  4 -> 46 [size =\"39666688\"]\n  4 -> 48 [size =\"39666688\"]\n  5 [size=\"54238720\", alpha=\"0.09\", expect_size=\"21695488\"] \n  5 -> 37 [size =\"21695488\"]\n  5 -> 39 [size =\"21695488\"]\n  5 -> 41 [size =\"21695488\"]\n  5 -> 42 [size =\"21695488\"]\n  5 -> 45 [size =\"21695488\"]\n  5 -> 46 [size =\"21695488\"]\n  6 [size=\"40186880\", alpha=\"0.12\", expect_size=\"16074752\"] \n  6 -> 39 [size =\"16074752\"]\n  6 -> 41 [size =\"16074752\"]\n  6 -> 42 [size =\"16074752\"]\n  6 -> 42 [size =\"16074752\"]\n  6 -> 43 [size =\"16074752\"]\n  6 -> 44 [size =\"16074752\"]\n  6 -> 46 [size =\"16074752\"]\n  6 -> 47 [size =\"16074752\"]\n  7 [size=\"72491520\", alpha=\"0.18\", expect_size=\"28996608\"] \n  7 -> 33 [size =\"28996608\"]\n  7 -> 43 [size =\"28996608\"]\n  7 -> 44 [size =\"28996608\"]\n  8 [size=\"56742400\", alpha=\"0.09\", expect_size=\"22696960\"] \n  8 -> 32 [size =\"22696960\"]\n  8 -> 37 [size =\"22696960\"]\n  8 -> 40 [size =\"22696960\"]\n  8 -> 41 [size =\"22696960\"]\n  8 -> 44 [size =\"22696960\"]\n  8 -> 45 [size =\"22696960\"]\n  8 -> 48 [size =\"22696960\"]\n  9 [size=\"63682560\", alpha=\"0.17\", expect_size=\"25473024\"] \n  9 -> 32 [size =\"25473024\"]\n  9 -> 41 [size =\"25473024\"]\n  9 -> 44 [size =\"25473024\"]\n  9 -> 46 [size =\"25473024\"]\n  9 -> 47 [size =\"25473024\"]\n  10 [size=\"32650240\", alpha=\"0.00\", expect_size=\"13060096\"] \n  10 -> 32 [size =\"13060096\"]\n  10 -> 38 [size =\"13060096\"]\n  10 -> 41 [size =\"13060096\"]\n  10 -> 46 [size =\"13060096\"]\n  10 -> 47 [size =\"13060096\"]\n  11 [size=\"105098240\", alpha=\"0.03\", expect_size=\"42039296\"] \n  11 -> 31 [size =\"42039296\"]\n  11 -> 32 [size =\"42039296\"]\n  11 -> 38 [size =\"42039296\"]\n  11 -> 40 [size =\"42039296\"]\n  11 -> 46 [size =\"42039296\"]\n  12 [size=\"68234240\", alpha=\"0.02\", expect_size=\"27293696\"] \n  12 -> 32 [size =\"27293696\"]\n  12 -> 39 [size =\"27293696\"]\n  12 -> 41 [size =\"27293696\"]\n  12 -> 47 [size =\"27293696\"]\n  12 -> 48 [size =\"27293696\"]\n  13 [size=\"122360320\", alpha=\"0.12\", expect_size=\"48944128\"] \n  13 -> 31 [size =\"48944128\"]\n  13 -> 32 [size =\"48944128\"]\n  13 -> 38 [size =\"48944128\"]\n  13 -> 41 [size =\"48944128\"]\n  13 -> 42 [size =\"48944128\"]\n  13 -> 46 [size =\"48944128\"]\n  13 -> 47 [size =\"48944128\"]\n  14 [size=\"71439360\", alpha=\"0.12\", expect_size=\"28575744\"] \n  14 -> 32 [size =\"28575744\"]\n  14 -> 32 [size =\"28575744\"]\n  14 -> 33 [size =\"28575744\"]\n  14 -> 42 [size =\"28575744\"]\n  14 -> 42 [size =\"28575744\"]\n  14 -> 43 [size =\"28575744\"]\n  14 -> 45 [size =\"28575744\"]\n  14 -> 47 [size =\"28575744\"]\n  14 -> 48 [size =\"28575744\"]\n  15 [size=\"60413440\", alpha=\"0.11\", expect_size=\"24165376\"] \n  15 -> 31 [size =\"24165376\"]\n  15 -> 32 [size =\"24165376\"]\n  15 -> 41 [size =\"24165376\"]\n  15 -> 42 [size =\"24165376\"]\n  15 -> 47 [size =\"24165376\"]\n  16 [size=\"114880000\", alpha=\"0.18\", expect_size=\"45952000\"] \n  16 -> 31 [size =\"45952000\"]\n  16 -> 35 [size =\"45952000\"]\n  16 -> 42 [size =\"45952000\"]\n  16 -> 43 [size =\"45952000\"]\n  16 -> 44 [size =\"45952000\"]\n  16 -> 47 [size =\"45952000\"]\n  17 [size=\"66385920\", alpha=\"0.00\", expect_size=\"26554368\"] \n  17 -> 31 [size =\"26554368\"]\n  17 -> 32 [size =\"26554368\"]\n  17 -> 36 [size =\"26554368\"]\n  17 -> 39 [size =\"26554368\"]\n  17 -> 41 [size =\"26554368\"]\n  17 -> 42 [size =\"26554368\"]\n  17 -> 44 [size =\"26554368\"]\n  17 -> 48 [size =\"26554368\"]\n  18 [size=\"54438400\", alpha=\"0.11\", expect_size=\"21775360\"] \n  18 -> 31 [size =\"21775360\"]\n  18 -> 39 [size =\"21775360\"]\n  18 -> 41 [size =\"21775360\"]\n  18 -> 42 [size =\"21775360\"]\n  18 -> 44 [size =\"21775360\"]\n  18 -> 46 [size =\"21775360\"]\n  18 -> 47 [size =\"21775360\"]\n  18 -> 49 [size =\"21775360\"]\n  19 [size=\"109998080\", alpha=\"0.09\", expect_size=\"43999232\"] \n  19 -> 31 [size =\"43999232\"]\n  19 -> 34 [size =\"43999232\"]\n  19 -> 39 [size =\"43999232\"]\n  19 -> 42 [size =\"43999232\"]\n  19 -> 44 [size =\"43999232\"]\n  19 -> 50 [size =\"43999232\"]\n  20 [size=\"93422080\", alpha=\"0.14\", expect_size=\"37368832\"] \n  20 -> 31 [size =\"37368832\"]\n  20 -> 38 [size =\"37368832\"]\n  20 -> 40 [size =\"37368832\"]\n  20 -> 41 [size =\"37368832\"]\n  20 -> 43 [size =\"37368832\"]\n  20 -> 44 [size =\"37368832\"]\n  20 -> 46 [size =\"37368832\"]\n  21 [size=\"95692800\", alpha=\"0.18\", expect_size=\"38277120\"] \n  21 -> 37 [size =\"38277120\"]\n  21 -> 39 [size =\"38277120\"]\n  21 -> 44 [size =\"38277120\"]\n  21 -> 46 [size =\"38277120\"]\n  22 [size=\"115645440\", alpha=\"0.11\", expect_size=\"46258176\"] \n  22 -> 31 [size =\"46258176\"]\n  22 -> 33 [size =\"46258176\"]\n  22 -> 36 [size =\"46258176\"]\n  22 -> 39 [size =\"46258176\"]\n  22 -> 40 [size =\"46258176\"]\n  22 -> 42 [size =\"46258176\"]\n  22 -> 43 [size =\"46258176\"]\n  22 -> 44 [size =\"46258176\"]\n  22 -> 48 [size =\"46258176\"]\n  22 -> 50 [size =\"46258176\"]\n  23 [size=\"129223680\", alpha=\"0.11\", expect_size=\"51689472\"] \n  23 -> 31 [size =\"51689472\"]\n  23 -> 32 [size =\"51689472\"]\n  23 -> 36 [size =\"51689472\"]\n  23 -> 40 [size =\"51689472\"]\n  23 -> 42 [size =\"51689472\"]\n  23 -> 43 [size =\"51689472\"]\n  23 -> 43 [size =\"51689472\"]\n  23 -> 45 [size =\"51689472\"]\n  24 [size=\"83240960\", alpha=\"0.05\", expect_size=\"33296384\"] \n  24 -> 31 [size =\"33296384\"]\n  24 -> 39 [size =\"33296384\"]\n  24 -> 41 [size =\"33296384\"]\n  24 -> 43 [size =\"33296384\"]\n  24 -> 44 [size =\"33296384\"]\n  24 -> 45 [size =\"33296384\"]\n  24 -> 46 [size =\"33296384\"]\n  24 -> 47 [size =\"33296384\"]\n  25 [size=\"35758080\", alpha=\"0.07\", expect_size=\"14303232\"] \n  25 -> 32 [size =\"14303232\"]\n  25 -> 40 [size =\"14303232\"]\n  25 -> 41 [size =\"14303232\"]\n  25 -> 43 [size =\"14303232\"]\n  25 -> 45 [size =\"14303232\"]\n  25 -> 47 [size =\"14303232\"]\n  26 [size=\"99957760\", alpha=\"0.13\", expect_size=\"39983104\"] \n  26 -> 38 [size =\"39983104\"]\n  26 -> 39 [size =\"39983104\"]\n  26 -> 40 [size =\"39983104\"]\n  26 -> 41 [size =\"39983104\"]\n  26 -> 43 [size =\"39983104\"]\n  26 -> 44 [size =\"39983104\"]\n  26 -> 45 [size =\"39983104\"]\n  26 -> 46 [size =\"39983104\"]\n  26 -> 47 [size =\"39983104\"]\n  26 -> 48 [size =\"39983104\"]\n  27 [size=\"89896960\", alpha=\"0.09\", expect_size=\"35958784\"] \n  27 -> 31 [size =\"35958784\"]\n  27 -> 38 [size =\"35958784\"]\n  27 -> 41 [size =\"35958784\"]\n  27 -> 41 [size =\"35958784\"]\n  27 -> 42 [size =\"35958784\"]\n  27 -> 43 [size =\"35958784\"]\n  27 -> 44 [size =\"35958784\"]\n  27 -> 45 [size =\"35958784\"]\n  27 -> 47 [size =\"35958784\"]\n  27 -> 49 [size =\"35958784\"]\n  28 [size=\"92421120\", alpha=\"0.13\", expect_size=\"36968448\"] \n  28 -> 31 [size =\"36968448\"]\n  28 -> 38 [size =\"36968448\"]\n  28 -> 39 [size =\"36968448\"]\n  28 -> 43 [size =\"36968448\"]\n  28 -> 46 [size =\"36968448\"]\n  29 [size=\"41469440\", alpha=\"0.05\", expect_size=\"16587776\"] \n  29 -> 31 [size =\"16587776\"]\n  29 -> 39 [size =\"16587776\"]\n  29 -> 41 [size =\"16587776\"]\n  29 -> 43 [size =\"16587776\"]\n  29 -> 45 [size =\"16587776\"]\n  30 [size=\"91955200\", alpha=\"0.00\", expect_size=\"36782080\"] \n  30 -> 31 [size =\"36782080\"]\n  30 -> 33 [size =\"36782080\"]\n  30 -> 43 [size =\"36782080\"]\n  30 -> 43 [size =\"36782080\"]\n  31 [size=\"55557120\", alpha=\"0.11\", expect_size=\"22222848\"] \n  32 [size=\"44346880\", alpha=\"0.12\", expect_size=\"17738752\"] \n  33 [size=\"108631040\", alpha=\"0.10\", expect_size=\"43452416\"] \n  34 [size=\"54481920\", alpha=\"0.19\", expect_size=\"21792768\"] \n  35 [size=\"85923840\", alpha=\"0.16\", expect_size=\"34369536\"] \n  36 [size=\"126128640\", alpha=\"0.10\", expect_size=\"50451456\"] \n  37 [size=\"84208640\", alpha=\"0.13\", expect_size=\"33683456\"] \n  38 [size=\"19550720\", alpha=\"0.03\", expect_size=\"7820288\"] \n  39 [size=\"93760000\", alpha=\"0.10\", expect_size=\"37504000\"] \n  40 [size=\"121477120\", alpha=\"0.10\", expect_size=\"48590848\"] \n  41 [size=\"122252800\", alpha=\"0.04\", expect_size=\"48901120\"] \n  42 [size=\"70110720\", alpha=\"0.16\", expect_size=\"28044288\"] \n  43 [size=\"20180480\", alpha=\"0.07\", expect_size=\"8072192\"] \n  44 [size=\"81715200\", alpha=\"0.10\", expect_size=\"32686080\"] \n  45 [size=\"77120000\", alpha=\"0.17\", expect_size=\"30848000\"] \n  46 [size=\"53698560\", alpha=\"0.19\", expect_size=\"21479424\"] \n  47 [size=\"113228800\", alpha=\"0.13\", expect_size=\"45291520\"] \n  48 [size=\"73057280\", alpha=\"0.01\", expect_size=\"29222912\"] \n  49 [size=\"92482560\", alpha=\"0.14\", expect_size=\"36993024\"] \n  50 [size=\"32468480\", alpha=\"0.01\", expect_size=\"12987392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.843.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54976512\", alpha=\"0.02\", expect_size=\"27488256\"] \n  1 -> 10 [size =\"27488256\"]\n  1 -> 15 [size =\"27488256\"]\n  1 -> 16 [size =\"27488256\"]\n  2 [size=\"16033792\", alpha=\"0.00\", expect_size=\"8016896\"] \n  2 -> 13 [size =\"8016896\"]\n  2 -> 14 [size =\"8016896\"]\n  2 -> 15 [size =\"8016896\"]\n  2 -> 16 [size =\"8016896\"]\n  3 [size=\"89620480\", alpha=\"0.07\", expect_size=\"44810240\"] \n  3 -> 12 [size =\"44810240\"]\n  3 -> 14 [size =\"44810240\"]\n  4 [size=\"82792448\", alpha=\"0.08\", expect_size=\"41396224\"] \n  4 -> 9 [size =\"41396224\"]\n  5 [size=\"72579072\", alpha=\"0.16\", expect_size=\"36289536\"] \n  5 -> 9 [size =\"36289536\"]\n  5 -> 14 [size =\"36289536\"]\n  6 [size=\"22192128\", alpha=\"0.09\", expect_size=\"11096064\"] \n  6 -> 9 [size =\"11096064\"]\n  6 -> 11 [size =\"11096064\"]\n  6 -> 13 [size =\"11096064\"]\n  6 -> 15 [size =\"11096064\"]\n  7 [size=\"44705792\", alpha=\"0.01\", expect_size=\"22352896\"] \n  7 -> 9 [size =\"22352896\"]\n  8 [size=\"39796736\", alpha=\"0.19\", expect_size=\"19898368\"] \n  8 -> 9 [size =\"19898368\"]\n  8 -> 15 [size =\"19898368\"]\n  9 [size=\"34488320\", alpha=\"0.05\", expect_size=\"17244160\"] \n  10 [size=\"87298048\", alpha=\"0.18\", expect_size=\"43649024\"] \n  10 -> 19 [size =\"43649024\"]\n  10 -> 20 [size =\"43649024\"]\n  11 [size=\"45172736\", alpha=\"0.01\", expect_size=\"22586368\"] \n  11 -> 17 [size =\"22586368\"]\n  12 [size=\"53938176\", alpha=\"0.17\", expect_size=\"26969088\"] \n  13 [size=\"55506944\", alpha=\"0.05\", expect_size=\"27753472\"] \n  13 -> 18 [size =\"27753472\"]\n  13 -> 20 [size =\"27753472\"]\n  14 [size=\"86898688\", alpha=\"0.10\", expect_size=\"43449344\"] \n  14 -> 18 [size =\"43449344\"]\n  14 -> 19 [size =\"43449344\"]\n  14 -> 21 [size =\"43449344\"]\n  15 [size=\"32313344\", alpha=\"0.04\", expect_size=\"16156672\"] \n  15 -> 17 [size =\"16156672\"]\n  16 [size=\"14843904\", alpha=\"0.15\", expect_size=\"7421952\"] \n  16 -> 20 [size =\"7421952\"]\n  16 -> 21 [size =\"7421952\"]\n  17 [size=\"56545280\", alpha=\"0.10\", expect_size=\"28272640\"] \n  17 -> 25 [size =\"28272640\"]\n  17 -> 26 [size =\"28272640\"]\n  17 -> 27 [size =\"28272640\"]\n  18 [size=\"62101504\", alpha=\"0.10\", expect_size=\"31050752\"] \n  18 -> 22 [size =\"31050752\"]\n  18 -> 25 [size =\"31050752\"]\n  19 [size=\"56221696\", alpha=\"0.12\", expect_size=\"28110848\"] \n  19 -> 24 [size =\"28110848\"]\n  20 [size=\"77977600\", alpha=\"0.00\", expect_size=\"38988800\"] \n  20 -> 22 [size =\"38988800\"]\n  20 -> 23 [size =\"38988800\"]\n  20 -> 24 [size =\"38988800\"]\n  20 -> 26 [size =\"38988800\"]\n  21 [size=\"68700160\", alpha=\"0.19\", expect_size=\"34350080\"] \n  21 -> 22 [size =\"34350080\"]\n  21 -> 23 [size =\"34350080\"]\n  21 -> 24 [size =\"34350080\"]\n  21 -> 25 [size =\"34350080\"]\n  21 -> 26 [size =\"34350080\"]\n  22 [size=\"75294720\", alpha=\"0.18\", expect_size=\"37647360\"] \n  22 -> 30 [size =\"37647360\"]\n  22 -> 33 [size =\"37647360\"]\n  23 [size=\"62482432\", alpha=\"0.14\", expect_size=\"31241216\"] \n  23 -> 29 [size =\"31241216\"]\n  23 -> 30 [size =\"31241216\"]\n  23 -> 31 [size =\"31241216\"]\n  23 -> 32 [size =\"31241216\"]\n  24 [size=\"84713472\", alpha=\"0.06\", expect_size=\"42356736\"] \n  24 -> 29 [size =\"42356736\"]\n  24 -> 30 [size =\"42356736\"]\n  24 -> 31 [size =\"42356736\"]\n  25 [size=\"37425152\", alpha=\"0.10\", expect_size=\"18712576\"] \n  26 [size=\"58370048\", alpha=\"0.17\", expect_size=\"29185024\"] \n  26 -> 32 [size =\"29185024\"]\n  26 -> 34 [size =\"29185024\"]\n  27 [size=\"33576960\", alpha=\"0.12\", expect_size=\"16788480\"] \n  27 -> 28 [size =\"16788480\"]\n  27 -> 30 [size =\"16788480\"]\n  28 [size=\"80736256\", alpha=\"0.12\", expect_size=\"40368128\"] \n  28 -> 39 [size =\"40368128\"]\n  29 [size=\"34418688\", alpha=\"0.18\", expect_size=\"17209344\"] \n  29 -> 35 [size =\"17209344\"]\n  29 -> 37 [size =\"17209344\"]\n  30 [size=\"88868864\", alpha=\"0.00\", expect_size=\"44434432\"] \n  30 -> 36 [size =\"44434432\"]\n  30 -> 37 [size =\"44434432\"]\n  30 -> 39 [size =\"44434432\"]\n  31 [size=\"90425344\", alpha=\"0.09\", expect_size=\"45212672\"] \n  31 -> 36 [size =\"45212672\"]\n  32 [size=\"83578880\", alpha=\"0.08\", expect_size=\"41789440\"] \n  32 -> 35 [size =\"41789440\"]\n  32 -> 36 [size =\"41789440\"]\n  32 -> 39 [size =\"41789440\"]\n  33 [size=\"73879552\", alpha=\"0.16\", expect_size=\"36939776\"] \n  33 -> 37 [size =\"36939776\"]\n  33 -> 38 [size =\"36939776\"]\n  34 [size=\"46090240\", alpha=\"0.00\", expect_size=\"23045120\"] \n  34 -> 36 [size =\"23045120\"]\n  34 -> 37 [size =\"23045120\"]\n  34 -> 38 [size =\"23045120\"]\n  34 -> 39 [size =\"23045120\"]\n  34 -> 40 [size =\"23045120\"]\n  35 [size=\"72519680\", alpha=\"0.09\", expect_size=\"36259840\"] \n  35 -> 43 [size =\"36259840\"]\n  35 -> 44 [size =\"36259840\"]\n  36 [size=\"26515456\", alpha=\"0.19\", expect_size=\"13257728\"] \n  36 -> 43 [size =\"13257728\"]\n  36 -> 44 [size =\"13257728\"]\n  36 -> 46 [size =\"13257728\"]\n  37 [size=\"14159872\", alpha=\"0.18\", expect_size=\"7079936\"] \n  37 -> 42 [size =\"7079936\"]\n  37 -> 43 [size =\"7079936\"]\n  37 -> 44 [size =\"7079936\"]\n  37 -> 46 [size =\"7079936\"]\n  38 [size=\"69670912\", alpha=\"0.09\", expect_size=\"34835456\"] \n  38 -> 42 [size =\"34835456\"]\n  38 -> 43 [size =\"34835456\"]\n  38 -> 45 [size =\"34835456\"]\n  38 -> 46 [size =\"34835456\"]\n  38 -> 47 [size =\"34835456\"]\n  39 [size=\"33619968\", alpha=\"0.09\", expect_size=\"16809984\"] \n  39 -> 41 [size =\"16809984\"]\n  39 -> 42 [size =\"16809984\"]\n  39 -> 45 [size =\"16809984\"]\n  39 -> 46 [size =\"16809984\"]\n  39 -> 47 [size =\"16809984\"]\n  40 [size=\"24381440\", alpha=\"0.04\", expect_size=\"12190720\"] \n  40 -> 41 [size =\"12190720\"]\n  40 -> 45 [size =\"12190720\"]\n  40 -> 45 [size =\"12190720\"]\n  41 [size=\"24395776\", alpha=\"0.10\", expect_size=\"12197888\"] \n  41 -> 48 [size =\"12197888\"]\n  42 [size=\"68354048\", alpha=\"0.11\", expect_size=\"34177024\"] \n  43 [size=\"10962944\", alpha=\"0.03\", expect_size=\"5481472\"] \n  43 -> 50 [size =\"5481472\"]\n  44 [size=\"85989376\", alpha=\"0.10\", expect_size=\"42994688\"] \n  44 -> 48 [size =\"42994688\"]\n  45 [size=\"86732800\", alpha=\"0.03\", expect_size=\"43366400\"] \n  45 -> 49 [size =\"43366400\"]\n  45 -> 50 [size =\"43366400\"]\n  46 [size=\"35020800\", alpha=\"0.06\", expect_size=\"17510400\"] \n  46 -> 49 [size =\"17510400\"]\n  47 [size=\"29583360\", alpha=\"0.14\", expect_size=\"14791680\"] \n  47 -> 48 [size =\"14791680\"]\n  47 -> 49 [size =\"14791680\"]\n  48 [size=\"22112256\", alpha=\"0.17\", expect_size=\"11056128\"] \n  49 [size=\"64221184\", alpha=\"0.05\", expect_size=\"32110592\"] \n  50 [size=\"12906496\", alpha=\"0.10\", expect_size=\"6453248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.844.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"122314240\", alpha=\"0.16\", expect_size=\"48925696\"] \n  1 -> 20 [size =\"48925696\"]\n  1 -> 23 [size =\"48925696\"]\n  1 -> 28 [size =\"48925696\"]\n  1 -> 35 [size =\"48925696\"]\n  1 -> 37 [size =\"48925696\"]\n  1 -> 38 [size =\"48925696\"]\n  1 -> 39 [size =\"48925696\"]\n  1 -> 42 [size =\"48925696\"]\n  1 -> 44 [size =\"48925696\"]\n  2 [size=\"117450240\", alpha=\"0.11\", expect_size=\"46980096\"] \n  2 -> 22 [size =\"46980096\"]\n  2 -> 23 [size =\"46980096\"]\n  2 -> 24 [size =\"46980096\"]\n  2 -> 28 [size =\"46980096\"]\n  2 -> 29 [size =\"46980096\"]\n  2 -> 31 [size =\"46980096\"]\n  2 -> 32 [size =\"46980096\"]\n  2 -> 35 [size =\"46980096\"]\n  2 -> 37 [size =\"46980096\"]\n  2 -> 38 [size =\"46980096\"]\n  2 -> 39 [size =\"46980096\"]\n  2 -> 40 [size =\"46980096\"]\n  2 -> 41 [size =\"46980096\"]\n  2 -> 42 [size =\"46980096\"]\n  2 -> 44 [size =\"46980096\"]\n  3 [size=\"51706880\", alpha=\"0.17\", expect_size=\"20682752\"] \n  3 -> 20 [size =\"20682752\"]\n  3 -> 27 [size =\"20682752\"]\n  3 -> 28 [size =\"20682752\"]\n  3 -> 28 [size =\"20682752\"]\n  3 -> 29 [size =\"20682752\"]\n  3 -> 30 [size =\"20682752\"]\n  3 -> 31 [size =\"20682752\"]\n  3 -> 35 [size =\"20682752\"]\n  3 -> 37 [size =\"20682752\"]\n  3 -> 38 [size =\"20682752\"]\n  3 -> 39 [size =\"20682752\"]\n  3 -> 43 [size =\"20682752\"]\n  4 [size=\"23096320\", alpha=\"0.06\", expect_size=\"9238528\"] \n  4 -> 21 [size =\"9238528\"]\n  4 -> 22 [size =\"9238528\"]\n  4 -> 25 [size =\"9238528\"]\n  4 -> 27 [size =\"9238528\"]\n  4 -> 28 [size =\"9238528\"]\n  4 -> 31 [size =\"9238528\"]\n  4 -> 31 [size =\"9238528\"]\n  4 -> 35 [size =\"9238528\"]\n  4 -> 36 [size =\"9238528\"]\n  4 -> 39 [size =\"9238528\"]\n  4 -> 39 [size =\"9238528\"]\n  4 -> 43 [size =\"9238528\"]\n  5 [size=\"45649920\", alpha=\"0.15\", expect_size=\"18259968\"] \n  5 -> 22 [size =\"18259968\"]\n  5 -> 23 [size =\"18259968\"]\n  5 -> 25 [size =\"18259968\"]\n  5 -> 27 [size =\"18259968\"]\n  5 -> 28 [size =\"18259968\"]\n  5 -> 31 [size =\"18259968\"]\n  5 -> 32 [size =\"18259968\"]\n  5 -> 34 [size =\"18259968\"]\n  5 -> 35 [size =\"18259968\"]\n  5 -> 38 [size =\"18259968\"]\n  5 -> 39 [size =\"18259968\"]\n  5 -> 40 [size =\"18259968\"]\n  5 -> 41 [size =\"18259968\"]\n  5 -> 42 [size =\"18259968\"]\n  5 -> 43 [size =\"18259968\"]\n  5 -> 44 [size =\"18259968\"]\n  6 [size=\"87690240\", alpha=\"0.06\", expect_size=\"35076096\"] \n  6 -> 23 [size =\"35076096\"]\n  6 -> 25 [size =\"35076096\"]\n  6 -> 26 [size =\"35076096\"]\n  6 -> 28 [size =\"35076096\"]\n  6 -> 31 [size =\"35076096\"]\n  6 -> 33 [size =\"35076096\"]\n  6 -> 35 [size =\"35076096\"]\n  6 -> 39 [size =\"35076096\"]\n  6 -> 40 [size =\"35076096\"]\n  6 -> 42 [size =\"35076096\"]\n  6 -> 43 [size =\"35076096\"]\n  6 -> 44 [size =\"35076096\"]\n  7 [size=\"49725440\", alpha=\"0.07\", expect_size=\"19890176\"] \n  7 -> 22 [size =\"19890176\"]\n  7 -> 25 [size =\"19890176\"]\n  7 -> 31 [size =\"19890176\"]\n  7 -> 32 [size =\"19890176\"]\n  7 -> 35 [size =\"19890176\"]\n  7 -> 37 [size =\"19890176\"]\n  7 -> 39 [size =\"19890176\"]\n  7 -> 39 [size =\"19890176\"]\n  7 -> 40 [size =\"19890176\"]\n  7 -> 41 [size =\"19890176\"]\n  7 -> 42 [size =\"19890176\"]\n  7 -> 44 [size =\"19890176\"]\n  8 [size=\"66106880\", alpha=\"0.15\", expect_size=\"26442752\"] \n  8 -> 20 [size =\"26442752\"]\n  8 -> 22 [size =\"26442752\"]\n  8 -> 25 [size =\"26442752\"]\n  8 -> 26 [size =\"26442752\"]\n  8 -> 27 [size =\"26442752\"]\n  8 -> 29 [size =\"26442752\"]\n  8 -> 30 [size =\"26442752\"]\n  8 -> 31 [size =\"26442752\"]\n  8 -> 32 [size =\"26442752\"]\n  8 -> 34 [size =\"26442752\"]\n  8 -> 38 [size =\"26442752\"]\n  8 -> 39 [size =\"26442752\"]\n  8 -> 40 [size =\"26442752\"]\n  8 -> 41 [size =\"26442752\"]\n  8 -> 42 [size =\"26442752\"]\n  9 [size=\"86597120\", alpha=\"0.08\", expect_size=\"34638848\"] \n  9 -> 21 [size =\"34638848\"]\n  9 -> 22 [size =\"34638848\"]\n  9 -> 24 [size =\"34638848\"]\n  9 -> 25 [size =\"34638848\"]\n  9 -> 27 [size =\"34638848\"]\n  9 -> 29 [size =\"34638848\"]\n  9 -> 31 [size =\"34638848\"]\n  9 -> 32 [size =\"34638848\"]\n  9 -> 33 [size =\"34638848\"]\n  9 -> 38 [size =\"34638848\"]\n  9 -> 38 [size =\"34638848\"]\n  9 -> 40 [size =\"34638848\"]\n  9 -> 40 [size =\"34638848\"]\n  9 -> 42 [size =\"34638848\"]\n  9 -> 43 [size =\"34638848\"]\n  9 -> 44 [size =\"34638848\"]\n  10 [size=\"96243200\", alpha=\"0.13\", expect_size=\"38497280\"] \n  10 -> 22 [size =\"38497280\"]\n  10 -> 22 [size =\"38497280\"]\n  10 -> 24 [size =\"38497280\"]\n  10 -> 27 [size =\"38497280\"]\n  10 -> 32 [size =\"38497280\"]\n  10 -> 35 [size =\"38497280\"]\n  10 -> 38 [size =\"38497280\"]\n  10 -> 39 [size =\"38497280\"]\n  10 -> 40 [size =\"38497280\"]\n  10 -> 42 [size =\"38497280\"]\n  10 -> 43 [size =\"38497280\"]\n  10 -> 44 [size =\"38497280\"]\n  11 [size=\"114631680\", alpha=\"0.02\", expect_size=\"45852672\"] \n  11 -> 21 [size =\"45852672\"]\n  11 -> 22 [size =\"45852672\"]\n  11 -> 23 [size =\"45852672\"]\n  11 -> 27 [size =\"45852672\"]\n  11 -> 28 [size =\"45852672\"]\n  11 -> 29 [size =\"45852672\"]\n  11 -> 31 [size =\"45852672\"]\n  11 -> 32 [size =\"45852672\"]\n  11 -> 34 [size =\"45852672\"]\n  11 -> 35 [size =\"45852672\"]\n  11 -> 37 [size =\"45852672\"]\n  11 -> 38 [size =\"45852672\"]\n  11 -> 39 [size =\"45852672\"]\n  11 -> 40 [size =\"45852672\"]\n  11 -> 42 [size =\"45852672\"]\n  11 -> 43 [size =\"45852672\"]\n  11 -> 44 [size =\"45852672\"]\n  12 [size=\"91514880\", alpha=\"0.04\", expect_size=\"36605952\"] \n  12 -> 21 [size =\"36605952\"]\n  12 -> 22 [size =\"36605952\"]\n  12 -> 27 [size =\"36605952\"]\n  12 -> 27 [size =\"36605952\"]\n  12 -> 28 [size =\"36605952\"]\n  12 -> 31 [size =\"36605952\"]\n  12 -> 32 [size =\"36605952\"]\n  12 -> 36 [size =\"36605952\"]\n  12 -> 37 [size =\"36605952\"]\n  12 -> 38 [size =\"36605952\"]\n  12 -> 39 [size =\"36605952\"]\n  12 -> 42 [size =\"36605952\"]\n  12 -> 44 [size =\"36605952\"]\n  13 [size=\"40921600\", alpha=\"0.06\", expect_size=\"16368640\"] \n  13 -> 20 [size =\"16368640\"]\n  13 -> 22 [size =\"16368640\"]\n  13 -> 25 [size =\"16368640\"]\n  13 -> 26 [size =\"16368640\"]\n  13 -> 28 [size =\"16368640\"]\n  13 -> 29 [size =\"16368640\"]\n  13 -> 38 [size =\"16368640\"]\n  13 -> 39 [size =\"16368640\"]\n  13 -> 41 [size =\"16368640\"]\n  13 -> 42 [size =\"16368640\"]\n  13 -> 43 [size =\"16368640\"]\n  14 [size=\"25461760\", alpha=\"0.18\", expect_size=\"10184704\"] \n  14 -> 20 [size =\"10184704\"]\n  14 -> 22 [size =\"10184704\"]\n  14 -> 23 [size =\"10184704\"]\n  14 -> 24 [size =\"10184704\"]\n  14 -> 25 [size =\"10184704\"]\n  14 -> 27 [size =\"10184704\"]\n  14 -> 28 [size =\"10184704\"]\n  14 -> 31 [size =\"10184704\"]\n  14 -> 32 [size =\"10184704\"]\n  14 -> 35 [size =\"10184704\"]\n  14 -> 38 [size =\"10184704\"]\n  14 -> 39 [size =\"10184704\"]\n  14 -> 42 [size =\"10184704\"]\n  15 [size=\"61475840\", alpha=\"0.02\", expect_size=\"24590336\"] \n  15 -> 20 [size =\"24590336\"]\n  15 -> 21 [size =\"24590336\"]\n  15 -> 22 [size =\"24590336\"]\n  15 -> 23 [size =\"24590336\"]\n  15 -> 24 [size =\"24590336\"]\n  15 -> 25 [size =\"24590336\"]\n  15 -> 27 [size =\"24590336\"]\n  15 -> 28 [size =\"24590336\"]\n  15 -> 29 [size =\"24590336\"]\n  15 -> 31 [size =\"24590336\"]\n  15 -> 34 [size =\"24590336\"]\n  15 -> 35 [size =\"24590336\"]\n  15 -> 38 [size =\"24590336\"]\n  15 -> 39 [size =\"24590336\"]\n  15 -> 41 [size =\"24590336\"]\n  15 -> 42 [size =\"24590336\"]\n  15 -> 43 [size =\"24590336\"]\n  16 [size=\"34923520\", alpha=\"0.16\", expect_size=\"13969408\"] \n  16 -> 20 [size =\"13969408\"]\n  16 -> 21 [size =\"13969408\"]\n  16 -> 22 [size =\"13969408\"]\n  16 -> 23 [size =\"13969408\"]\n  16 -> 24 [size =\"13969408\"]\n  16 -> 28 [size =\"13969408\"]\n  16 -> 29 [size =\"13969408\"]\n  16 -> 38 [size =\"13969408\"]\n  16 -> 39 [size =\"13969408\"]\n  16 -> 42 [size =\"13969408\"]\n  17 [size=\"67816960\", alpha=\"0.00\", expect_size=\"27126784\"] \n  17 -> 20 [size =\"27126784\"]\n  17 -> 21 [size =\"27126784\"]\n  17 -> 23 [size =\"27126784\"]\n  17 -> 23 [size =\"27126784\"]\n  17 -> 24 [size =\"27126784\"]\n  17 -> 25 [size =\"27126784\"]\n  17 -> 28 [size =\"27126784\"]\n  17 -> 29 [size =\"27126784\"]\n  17 -> 31 [size =\"27126784\"]\n  17 -> 32 [size =\"27126784\"]\n  17 -> 35 [size =\"27126784\"]\n  17 -> 37 [size =\"27126784\"]\n  17 -> 38 [size =\"27126784\"]\n  17 -> 40 [size =\"27126784\"]\n  17 -> 42 [size =\"27126784\"]\n  17 -> 43 [size =\"27126784\"]\n  17 -> 44 [size =\"27126784\"]\n  18 [size=\"107650560\", alpha=\"0.18\", expect_size=\"43060224\"] \n  18 -> 21 [size =\"43060224\"]\n  18 -> 21 [size =\"43060224\"]\n  18 -> 23 [size =\"43060224\"]\n  18 -> 24 [size =\"43060224\"]\n  18 -> 25 [size =\"43060224\"]\n  18 -> 27 [size =\"43060224\"]\n  18 -> 28 [size =\"43060224\"]\n  18 -> 29 [size =\"43060224\"]\n  18 -> 31 [size =\"43060224\"]\n  18 -> 34 [size =\"43060224\"]\n  18 -> 35 [size =\"43060224\"]\n  18 -> 38 [size =\"43060224\"]\n  18 -> 39 [size =\"43060224\"]\n  18 -> 42 [size =\"43060224\"]\n  18 -> 44 [size =\"43060224\"]\n  19 [size=\"77905920\", alpha=\"0.02\", expect_size=\"31162368\"] \n  19 -> 22 [size =\"31162368\"]\n  19 -> 23 [size =\"31162368\"]\n  19 -> 24 [size =\"31162368\"]\n  19 -> 25 [size =\"31162368\"]\n  19 -> 26 [size =\"31162368\"]\n  19 -> 27 [size =\"31162368\"]\n  19 -> 28 [size =\"31162368\"]\n  19 -> 31 [size =\"31162368\"]\n  19 -> 34 [size =\"31162368\"]\n  19 -> 34 [size =\"31162368\"]\n  19 -> 37 [size =\"31162368\"]\n  19 -> 41 [size =\"31162368\"]\n  19 -> 42 [size =\"31162368\"]\n  19 -> 43 [size =\"31162368\"]\n  20 [size=\"124766720\", alpha=\"0.08\", expect_size=\"49906688\"] \n  20 -> 46 [size =\"49906688\"]\n  20 -> 48 [size =\"49906688\"]\n  20 -> 49 [size =\"49906688\"]\n  21 [size=\"84559360\", alpha=\"0.12\", expect_size=\"33823744\"] \n  21 -> 46 [size =\"33823744\"]\n  21 -> 48 [size =\"33823744\"]\n  21 -> 49 [size =\"33823744\"]\n  22 [size=\"93688320\", alpha=\"0.14\", expect_size=\"37475328\"] \n  22 -> 46 [size =\"37475328\"]\n  22 -> 48 [size =\"37475328\"]\n  23 [size=\"118453760\", alpha=\"0.03\", expect_size=\"47381504\"] \n  23 -> 48 [size =\"47381504\"]\n  23 -> 49 [size =\"47381504\"]\n  24 [size=\"36894720\", alpha=\"0.14\", expect_size=\"14757888\"] \n  24 -> 46 [size =\"14757888\"]\n  24 -> 48 [size =\"14757888\"]\n  24 -> 49 [size =\"14757888\"]\n  24 -> 50 [size =\"14757888\"]\n  25 [size=\"26677760\", alpha=\"0.10\", expect_size=\"10671104\"] \n  25 -> 46 [size =\"10671104\"]\n  25 -> 48 [size =\"10671104\"]\n  25 -> 50 [size =\"10671104\"]\n  26 [size=\"37429760\", alpha=\"0.18\", expect_size=\"14971904\"] \n  26 -> 45 [size =\"14971904\"]\n  26 -> 46 [size =\"14971904\"]\n  26 -> 48 [size =\"14971904\"]\n  26 -> 49 [size =\"14971904\"]\n  27 [size=\"15621120\", alpha=\"0.13\", expect_size=\"6248448\"] \n  27 -> 46 [size =\"6248448\"]\n  27 -> 48 [size =\"6248448\"]\n  27 -> 48 [size =\"6248448\"]\n  28 [size=\"16885760\", alpha=\"0.17\", expect_size=\"6754304\"] \n  28 -> 46 [size =\"6754304\"]\n  28 -> 48 [size =\"6754304\"]\n  29 [size=\"120919040\", alpha=\"0.13\", expect_size=\"48367616\"] \n  29 -> 50 [size =\"48367616\"]\n  30 [size=\"13731840\", alpha=\"0.03\", expect_size=\"5492736\"] \n  30 -> 45 [size =\"5492736\"]\n  30 -> 46 [size =\"5492736\"]\n  30 -> 49 [size =\"5492736\"]\n  30 -> 50 [size =\"5492736\"]\n  31 [size=\"59768320\", alpha=\"0.11\", expect_size=\"23907328\"] \n  31 -> 47 [size =\"23907328\"]\n  31 -> 49 [size =\"23907328\"]\n  31 -> 49 [size =\"23907328\"]\n  31 -> 50 [size =\"23907328\"]\n  32 [size=\"14341120\", alpha=\"0.12\", expect_size=\"5736448\"] \n  32 -> 47 [size =\"5736448\"]\n  32 -> 48 [size =\"5736448\"]\n  32 -> 49 [size =\"5736448\"]\n  32 -> 50 [size =\"5736448\"]\n  33 [size=\"99760640\", alpha=\"0.17\", expect_size=\"39904256\"] \n  33 -> 46 [size =\"39904256\"]\n  33 -> 49 [size =\"39904256\"]\n  33 -> 49 [size =\"39904256\"]\n  34 [size=\"118699520\", alpha=\"0.05\", expect_size=\"47479808\"] \n  34 -> 45 [size =\"47479808\"]\n  34 -> 46 [size =\"47479808\"]\n  34 -> 50 [size =\"47479808\"]\n  35 [size=\"81144320\", alpha=\"0.01\", expect_size=\"32457728\"] \n  35 -> 49 [size =\"32457728\"]\n  36 [size=\"19640320\", alpha=\"0.00\", expect_size=\"7856128\"] \n  36 -> 49 [size =\"7856128\"]\n  37 [size=\"126735360\", alpha=\"0.09\", expect_size=\"50694144\"] \n  37 -> 45 [size =\"50694144\"]\n  38 [size=\"85160960\", alpha=\"0.14\", expect_size=\"34064384\"] \n  38 -> 45 [size =\"34064384\"]\n  39 [size=\"65876480\", alpha=\"0.10\", expect_size=\"26350592\"] \n  39 -> 47 [size =\"26350592\"]\n  39 -> 48 [size =\"26350592\"]\n  40 [size=\"24412160\", alpha=\"0.05\", expect_size=\"9764864\"] \n  40 -> 48 [size =\"9764864\"]\n  40 -> 48 [size =\"9764864\"]\n  40 -> 49 [size =\"9764864\"]\n  41 [size=\"43906560\", alpha=\"0.11\", expect_size=\"17562624\"] \n  41 -> 48 [size =\"17562624\"]\n  41 -> 49 [size =\"17562624\"]\n  42 [size=\"107919360\", alpha=\"0.12\", expect_size=\"43167744\"] \n  42 -> 49 [size =\"43167744\"]\n  42 -> 50 [size =\"43167744\"]\n  43 [size=\"58926080\", alpha=\"0.10\", expect_size=\"23570432\"] \n  43 -> 45 [size =\"23570432\"]\n  43 -> 46 [size =\"23570432\"]\n  43 -> 49 [size =\"23570432\"]\n  44 [size=\"42713600\", alpha=\"0.13\", expect_size=\"17085440\"] \n  44 -> 47 [size =\"17085440\"]\n  45 [size=\"71633920\", alpha=\"0.18\", expect_size=\"28653568\"] \n  46 [size=\"76088320\", alpha=\"0.07\", expect_size=\"30435328\"] \n  47 [size=\"77898240\", alpha=\"0.16\", expect_size=\"31159296\"] \n  48 [size=\"13808640\", alpha=\"0.06\", expect_size=\"5523456\"] \n  49 [size=\"96327680\", alpha=\"0.14\", expect_size=\"38531072\"] \n  50 [size=\"36359680\", alpha=\"0.02\", expect_size=\"14543872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.845.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93107200\", alpha=\"0.12\", expect_size=\"37242880\"] \n  1 -> 10 [size =\"37242880\"]\n  1 -> 12 [size =\"37242880\"]\n  1 -> 15 [size =\"37242880\"]\n  2 [size=\"94292480\", alpha=\"0.14\", expect_size=\"37716992\"] \n  2 -> 10 [size =\"37716992\"]\n  2 -> 14 [size =\"37716992\"]\n  2 -> 15 [size =\"37716992\"]\n  3 [size=\"105510400\", alpha=\"0.01\", expect_size=\"42204160\"] \n  3 -> 10 [size =\"42204160\"]\n  3 -> 15 [size =\"42204160\"]\n  4 [size=\"48194560\", alpha=\"0.01\", expect_size=\"19277824\"] \n  4 -> 10 [size =\"19277824\"]\n  4 -> 14 [size =\"19277824\"]\n  5 [size=\"62254080\", alpha=\"0.02\", expect_size=\"24901632\"] \n  5 -> 10 [size =\"24901632\"]\n  5 -> 12 [size =\"24901632\"]\n  5 -> 13 [size =\"24901632\"]\n  5 -> 14 [size =\"24901632\"]\n  6 [size=\"80560640\", alpha=\"0.16\", expect_size=\"32224256\"] \n  6 -> 13 [size =\"32224256\"]\n  6 -> 14 [size =\"32224256\"]\n  6 -> 15 [size =\"32224256\"]\n  6 -> 16 [size =\"32224256\"]\n  7 [size=\"90713600\", alpha=\"0.08\", expect_size=\"36285440\"] \n  7 -> 11 [size =\"36285440\"]\n  7 -> 12 [size =\"36285440\"]\n  7 -> 13 [size =\"36285440\"]\n  7 -> 14 [size =\"36285440\"]\n  7 -> 15 [size =\"36285440\"]\n  8 [size=\"73702400\", alpha=\"0.04\", expect_size=\"29480960\"] \n  8 -> 10 [size =\"29480960\"]\n  8 -> 13 [size =\"29480960\"]\n  8 -> 13 [size =\"29480960\"]\n  8 -> 15 [size =\"29480960\"]\n  9 [size=\"24855040\", alpha=\"0.15\", expect_size=\"9942016\"] \n  9 -> 10 [size =\"9942016\"]\n  9 -> 14 [size =\"9942016\"]\n  10 [size=\"58316800\", alpha=\"0.07\", expect_size=\"23326720\"] \n  10 -> 17 [size =\"23326720\"]\n  10 -> 20 [size =\"23326720\"]\n  10 -> 21 [size =\"23326720\"]\n  11 [size=\"84188160\", alpha=\"0.17\", expect_size=\"33675264\"] \n  11 -> 18 [size =\"33675264\"]\n  11 -> 20 [size =\"33675264\"]\n  11 -> 21 [size =\"33675264\"]\n  12 [size=\"38604800\", alpha=\"0.04\", expect_size=\"15441920\"] \n  12 -> 17 [size =\"15441920\"]\n  12 -> 18 [size =\"15441920\"]\n  12 -> 20 [size =\"15441920\"]\n  12 -> 21 [size =\"15441920\"]\n  13 [size=\"121569280\", alpha=\"0.18\", expect_size=\"48627712\"] \n  13 -> 17 [size =\"48627712\"]\n  13 -> 19 [size =\"48627712\"]\n  13 -> 20 [size =\"48627712\"]\n  14 [size=\"125665280\", alpha=\"0.08\", expect_size=\"50266112\"] \n  14 -> 17 [size =\"50266112\"]\n  15 [size=\"130385920\", alpha=\"0.06\", expect_size=\"52154368\"] \n  15 -> 17 [size =\"52154368\"]\n  15 -> 20 [size =\"52154368\"]\n  16 [size=\"23239680\", alpha=\"0.04\", expect_size=\"9295872\"] \n  16 -> 17 [size =\"9295872\"]\n  16 -> 20 [size =\"9295872\"]\n  16 -> 21 [size =\"9295872\"]\n  17 [size=\"119749120\", alpha=\"0.04\", expect_size=\"47899648\"] \n  17 -> 23 [size =\"47899648\"]\n  17 -> 24 [size =\"47899648\"]\n  17 -> 27 [size =\"47899648\"]\n  17 -> 28 [size =\"47899648\"]\n  17 -> 28 [size =\"47899648\"]\n  18 [size=\"46627840\", alpha=\"0.03\", expect_size=\"18651136\"] \n  18 -> 24 [size =\"18651136\"]\n  18 -> 25 [size =\"18651136\"]\n  18 -> 27 [size =\"18651136\"]\n  18 -> 28 [size =\"18651136\"]\n  19 [size=\"68213760\", alpha=\"0.06\", expect_size=\"27285504\"] \n  19 -> 22 [size =\"27285504\"]\n  19 -> 23 [size =\"27285504\"]\n  19 -> 24 [size =\"27285504\"]\n  19 -> 28 [size =\"27285504\"]\n  20 [size=\"38123520\", alpha=\"0.15\", expect_size=\"15249408\"] \n  20 -> 23 [size =\"15249408\"]\n  20 -> 24 [size =\"15249408\"]\n  20 -> 25 [size =\"15249408\"]\n  20 -> 27 [size =\"15249408\"]\n  21 [size=\"79022080\", alpha=\"0.17\", expect_size=\"31608832\"] \n  21 -> 25 [size =\"31608832\"]\n  21 -> 26 [size =\"31608832\"]\n  21 -> 27 [size =\"31608832\"]\n  21 -> 27 [size =\"31608832\"]\n  21 -> 28 [size =\"31608832\"]\n  22 [size=\"59850240\", alpha=\"0.12\", expect_size=\"23940096\"] \n  22 -> 30 [size =\"23940096\"]\n  22 -> 30 [size =\"23940096\"]\n  22 -> 31 [size =\"23940096\"]\n  22 -> 32 [size =\"23940096\"]\n  22 -> 33 [size =\"23940096\"]\n  23 [size=\"85560320\", alpha=\"0.04\", expect_size=\"34224128\"] \n  23 -> 29 [size =\"34224128\"]\n  23 -> 31 [size =\"34224128\"]\n  24 [size=\"74350080\", alpha=\"0.01\", expect_size=\"29740032\"] \n  24 -> 30 [size =\"29740032\"]\n  24 -> 31 [size =\"29740032\"]\n  24 -> 32 [size =\"29740032\"]\n  25 [size=\"123205120\", alpha=\"0.07\", expect_size=\"49282048\"] \n  25 -> 31 [size =\"49282048\"]\n  25 -> 31 [size =\"49282048\"]\n  25 -> 32 [size =\"49282048\"]\n  26 [size=\"43220480\", alpha=\"0.04\", expect_size=\"17288192\"] \n  26 -> 29 [size =\"17288192\"]\n  26 -> 33 [size =\"17288192\"]\n  27 [size=\"68869120\", alpha=\"0.14\", expect_size=\"27547648\"] \n  27 -> 30 [size =\"27547648\"]\n  27 -> 31 [size =\"27547648\"]\n  27 -> 32 [size =\"27547648\"]\n  27 -> 33 [size =\"27547648\"]\n  28 [size=\"94379520\", alpha=\"0.15\", expect_size=\"37751808\"] \n  28 -> 29 [size =\"37751808\"]\n  28 -> 30 [size =\"37751808\"]\n  28 -> 31 [size =\"37751808\"]\n  29 [size=\"110343680\", alpha=\"0.17\", expect_size=\"44137472\"] \n  29 -> 36 [size =\"44137472\"]\n  29 -> 37 [size =\"44137472\"]\n  29 -> 38 [size =\"44137472\"]\n  30 [size=\"29255680\", alpha=\"0.07\", expect_size=\"11702272\"] \n  30 -> 37 [size =\"11702272\"]\n  30 -> 38 [size =\"11702272\"]\n  31 [size=\"115624960\", alpha=\"0.10\", expect_size=\"46249984\"] \n  31 -> 34 [size =\"46249984\"]\n  31 -> 37 [size =\"46249984\"]\n  32 [size=\"95554560\", alpha=\"0.16\", expect_size=\"38221824\"] \n  32 -> 34 [size =\"38221824\"]\n  32 -> 35 [size =\"38221824\"]\n  32 -> 37 [size =\"38221824\"]\n  32 -> 38 [size =\"38221824\"]\n  33 [size=\"50234880\", alpha=\"0.01\", expect_size=\"20093952\"] \n  33 -> 34 [size =\"20093952\"]\n  33 -> 35 [size =\"20093952\"]\n  33 -> 38 [size =\"20093952\"]\n  34 [size=\"72069120\", alpha=\"0.05\", expect_size=\"28827648\"] \n  34 -> 41 [size =\"28827648\"]\n  35 [size=\"78179840\", alpha=\"0.09\", expect_size=\"31271936\"] \n  35 -> 40 [size =\"31271936\"]\n  35 -> 41 [size =\"31271936\"]\n  35 -> 43 [size =\"31271936\"]\n  36 [size=\"117721600\", alpha=\"0.15\", expect_size=\"47088640\"] \n  36 -> 39 [size =\"47088640\"]\n  36 -> 40 [size =\"47088640\"]\n  36 -> 41 [size =\"47088640\"]\n  36 -> 42 [size =\"47088640\"]\n  36 -> 43 [size =\"47088640\"]\n  36 -> 44 [size =\"47088640\"]\n  37 [size=\"22210560\", alpha=\"0.18\", expect_size=\"8884224\"] \n  37 -> 39 [size =\"8884224\"]\n  37 -> 40 [size =\"8884224\"]\n  37 -> 43 [size =\"8884224\"]\n  37 -> 44 [size =\"8884224\"]\n  37 -> 45 [size =\"8884224\"]\n  38 [size=\"105187840\", alpha=\"0.08\", expect_size=\"42075136\"] \n  38 -> 41 [size =\"42075136\"]\n  38 -> 43 [size =\"42075136\"]\n  38 -> 44 [size =\"42075136\"]\n  39 [size=\"73354240\", alpha=\"0.07\", expect_size=\"29341696\"] \n  39 -> 47 [size =\"29341696\"]\n  40 [size=\"56422400\", alpha=\"0.10\", expect_size=\"22568960\"] \n  40 -> 46 [size =\"22568960\"]\n  40 -> 48 [size =\"22568960\"]\n  41 [size=\"99604480\", alpha=\"0.04\", expect_size=\"39841792\"] \n  41 -> 46 [size =\"39841792\"]\n  41 -> 49 [size =\"39841792\"]\n  41 -> 50 [size =\"39841792\"]\n  42 [size=\"38049280\", alpha=\"0.06\", expect_size=\"15219712\"] \n  42 -> 48 [size =\"15219712\"]\n  42 -> 50 [size =\"15219712\"]\n  43 [size=\"15221760\", alpha=\"0.00\", expect_size=\"6088704\"] \n  43 -> 48 [size =\"6088704\"]\n  43 -> 49 [size =\"6088704\"]\n  43 -> 50 [size =\"6088704\"]\n  44 [size=\"21621760\", alpha=\"0.05\", expect_size=\"8648704\"] \n  44 -> 46 [size =\"8648704\"]\n  44 -> 48 [size =\"8648704\"]\n  44 -> 49 [size =\"8648704\"]\n  45 [size=\"51842560\", alpha=\"0.08\", expect_size=\"20737024\"] \n  45 -> 46 [size =\"20737024\"]\n  45 -> 47 [size =\"20737024\"]\n  45 -> 49 [size =\"20737024\"]\n  46 [size=\"105200640\", alpha=\"0.17\", expect_size=\"42080256\"] \n  47 [size=\"73863680\", alpha=\"0.15\", expect_size=\"29545472\"] \n  48 [size=\"64478720\", alpha=\"0.07\", expect_size=\"25791488\"] \n  49 [size=\"110563840\", alpha=\"0.15\", expect_size=\"44225536\"] \n  50 [size=\"31298560\", alpha=\"0.06\", expect_size=\"12519424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.846.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"25636864\", alpha=\"0.07\", expect_size=\"12818432\"] \n  1 -> 21 [size =\"12818432\"]\n  1 -> 28 [size =\"12818432\"]\n  2 [size=\"87867392\", alpha=\"0.03\", expect_size=\"43933696\"] \n  2 -> 17 [size =\"43933696\"]\n  2 -> 21 [size =\"43933696\"]\n  2 -> 22 [size =\"43933696\"]\n  3 [size=\"71372800\", alpha=\"0.04\", expect_size=\"35686400\"] \n  3 -> 21 [size =\"35686400\"]\n  3 -> 22 [size =\"35686400\"]\n  4 [size=\"40880128\", alpha=\"0.03\", expect_size=\"20440064\"] \n  4 -> 18 [size =\"20440064\"]\n  4 -> 23 [size =\"20440064\"]\n  4 -> 26 [size =\"20440064\"]\n  4 -> 29 [size =\"20440064\"]\n  5 [size=\"96958464\", alpha=\"0.18\", expect_size=\"48479232\"] \n  5 -> 16 [size =\"48479232\"]\n  5 -> 18 [size =\"48479232\"]\n  5 -> 20 [size =\"48479232\"]\n  5 -> 22 [size =\"48479232\"]\n  5 -> 24 [size =\"48479232\"]\n  5 -> 26 [size =\"48479232\"]\n  6 [size=\"94081024\", alpha=\"0.11\", expect_size=\"47040512\"] \n  6 -> 18 [size =\"47040512\"]\n  6 -> 18 [size =\"47040512\"]\n  6 -> 19 [size =\"47040512\"]\n  6 -> 20 [size =\"47040512\"]\n  6 -> 24 [size =\"47040512\"]\n  7 [size=\"59942912\", alpha=\"0.18\", expect_size=\"29971456\"] \n  7 -> 24 [size =\"29971456\"]\n  7 -> 28 [size =\"29971456\"]\n  8 [size=\"39647232\", alpha=\"0.09\", expect_size=\"19823616\"] \n  8 -> 16 [size =\"19823616\"]\n  8 -> 20 [size =\"19823616\"]\n  8 -> 22 [size =\"19823616\"]\n  9 [size=\"67504128\", alpha=\"0.14\", expect_size=\"33752064\"] \n  9 -> 18 [size =\"33752064\"]\n  9 -> 21 [size =\"33752064\"]\n  9 -> 22 [size =\"33752064\"]\n  9 -> 27 [size =\"33752064\"]\n  9 -> 28 [size =\"33752064\"]\n  10 [size=\"22929408\", alpha=\"0.11\", expect_size=\"11464704\"] \n  10 -> 17 [size =\"11464704\"]\n  10 -> 23 [size =\"11464704\"]\n  11 [size=\"42930176\", alpha=\"0.15\", expect_size=\"21465088\"] \n  11 -> 16 [size =\"21465088\"]\n  11 -> 18 [size =\"21465088\"]\n  11 -> 20 [size =\"21465088\"]\n  11 -> 23 [size =\"21465088\"]\n  12 [size=\"74598400\", alpha=\"0.01\", expect_size=\"37299200\"] \n  12 -> 18 [size =\"37299200\"]\n  12 -> 25 [size =\"37299200\"]\n  12 -> 29 [size =\"37299200\"]\n  13 [size=\"91049984\", alpha=\"0.12\", expect_size=\"45524992\"] \n  13 -> 24 [size =\"45524992\"]\n  14 [size=\"15566848\", alpha=\"0.18\", expect_size=\"7783424\"] \n  14 -> 16 [size =\"7783424\"]\n  14 -> 22 [size =\"7783424\"]\n  14 -> 23 [size =\"7783424\"]\n  14 -> 27 [size =\"7783424\"]\n  15 [size=\"27537408\", alpha=\"0.05\", expect_size=\"13768704\"] \n  15 -> 22 [size =\"13768704\"]\n  15 -> 27 [size =\"13768704\"]\n  16 [size=\"20023296\", alpha=\"0.16\", expect_size=\"10011648\"] \n  16 -> 31 [size =\"10011648\"]\n  16 -> 34 [size =\"10011648\"]\n  16 -> 35 [size =\"10011648\"]\n  16 -> 42 [size =\"10011648\"]\n  16 -> 45 [size =\"10011648\"]\n  16 -> 47 [size =\"10011648\"]\n  17 [size=\"71542784\", alpha=\"0.03\", expect_size=\"35771392\"] \n  17 -> 32 [size =\"35771392\"]\n  17 -> 33 [size =\"35771392\"]\n  17 -> 34 [size =\"35771392\"]\n  17 -> 39 [size =\"35771392\"]\n  17 -> 47 [size =\"35771392\"]\n  18 [size=\"61181952\", alpha=\"0.15\", expect_size=\"30590976\"] \n  18 -> 30 [size =\"30590976\"]\n  18 -> 36 [size =\"30590976\"]\n  18 -> 39 [size =\"30590976\"]\n  18 -> 40 [size =\"30590976\"]\n  18 -> 44 [size =\"30590976\"]\n  19 [size=\"101971968\", alpha=\"0.19\", expect_size=\"50985984\"] \n  19 -> 34 [size =\"50985984\"]\n  19 -> 41 [size =\"50985984\"]\n  19 -> 42 [size =\"50985984\"]\n  19 -> 44 [size =\"50985984\"]\n  19 -> 45 [size =\"50985984\"]\n  19 -> 46 [size =\"50985984\"]\n  20 [size=\"73816064\", alpha=\"0.11\", expect_size=\"36908032\"] \n  20 -> 34 [size =\"36908032\"]\n  20 -> 38 [size =\"36908032\"]\n  20 -> 40 [size =\"36908032\"]\n  20 -> 42 [size =\"36908032\"]\n  20 -> 43 [size =\"36908032\"]\n  20 -> 44 [size =\"36908032\"]\n  20 -> 47 [size =\"36908032\"]\n  21 [size=\"33673216\", alpha=\"0.06\", expect_size=\"16836608\"] \n  21 -> 38 [size =\"16836608\"]\n  21 -> 40 [size =\"16836608\"]\n  21 -> 44 [size =\"16836608\"]\n  22 [size=\"11939840\", alpha=\"0.18\", expect_size=\"5969920\"] \n  22 -> 33 [size =\"5969920\"]\n  22 -> 34 [size =\"5969920\"]\n  22 -> 37 [size =\"5969920\"]\n  22 -> 41 [size =\"5969920\"]\n  22 -> 43 [size =\"5969920\"]\n  22 -> 44 [size =\"5969920\"]\n  23 [size=\"18741248\", alpha=\"0.03\", expect_size=\"9370624\"] \n  23 -> 37 [size =\"9370624\"]\n  23 -> 41 [size =\"9370624\"]\n  23 -> 43 [size =\"9370624\"]\n  23 -> 44 [size =\"9370624\"]\n  24 [size=\"75325440\", alpha=\"0.14\", expect_size=\"37662720\"] \n  24 -> 38 [size =\"37662720\"]\n  24 -> 39 [size =\"37662720\"]\n  24 -> 40 [size =\"37662720\"]\n  24 -> 43 [size =\"37662720\"]\n  24 -> 45 [size =\"37662720\"]\n  25 [size=\"64413696\", alpha=\"0.03\", expect_size=\"32206848\"] \n  25 -> 32 [size =\"32206848\"]\n  25 -> 33 [size =\"32206848\"]\n  25 -> 38 [size =\"32206848\"]\n  25 -> 39 [size =\"32206848\"]\n  25 -> 40 [size =\"32206848\"]\n  25 -> 42 [size =\"32206848\"]\n  25 -> 44 [size =\"32206848\"]\n  25 -> 45 [size =\"32206848\"]\n  26 [size=\"86294528\", alpha=\"0.10\", expect_size=\"43147264\"] \n  26 -> 30 [size =\"43147264\"]\n  26 -> 38 [size =\"43147264\"]\n  26 -> 39 [size =\"43147264\"]\n  26 -> 41 [size =\"43147264\"]\n  27 [size=\"69163008\", alpha=\"0.08\", expect_size=\"34581504\"] \n  27 -> 30 [size =\"34581504\"]\n  27 -> 31 [size =\"34581504\"]\n  27 -> 41 [size =\"34581504\"]\n  27 -> 45 [size =\"34581504\"]\n  27 -> 47 [size =\"34581504\"]\n  28 [size=\"84475904\", alpha=\"0.11\", expect_size=\"42237952\"] \n  28 -> 30 [size =\"42237952\"]\n  28 -> 33 [size =\"42237952\"]\n  28 -> 34 [size =\"42237952\"]\n  28 -> 35 [size =\"42237952\"]\n  28 -> 37 [size =\"42237952\"]\n  28 -> 39 [size =\"42237952\"]\n  28 -> 41 [size =\"42237952\"]\n  28 -> 47 [size =\"42237952\"]\n  29 [size=\"63213568\", alpha=\"0.07\", expect_size=\"31606784\"] \n  29 -> 39 [size =\"31606784\"]\n  29 -> 43 [size =\"31606784\"]\n  29 -> 45 [size =\"31606784\"]\n  29 -> 47 [size =\"31606784\"]\n  30 [size=\"59185152\", alpha=\"0.05\", expect_size=\"29592576\"] \n  30 -> 48 [size =\"29592576\"]\n  31 [size=\"17608704\", alpha=\"0.11\", expect_size=\"8804352\"] \n  32 [size=\"48013312\", alpha=\"0.10\", expect_size=\"24006656\"] \n  32 -> 48 [size =\"24006656\"]\n  33 [size=\"39030784\", alpha=\"0.06\", expect_size=\"19515392\"] \n  33 -> 48 [size =\"19515392\"]\n  34 [size=\"51556352\", alpha=\"0.03\", expect_size=\"25778176\"] \n  35 [size=\"21608448\", alpha=\"0.03\", expect_size=\"10804224\"] \n  36 [size=\"35661824\", alpha=\"0.06\", expect_size=\"17830912\"] \n  37 [size=\"82941952\", alpha=\"0.02\", expect_size=\"41470976\"] \n  37 -> 48 [size =\"41470976\"]\n  37 -> 49 [size =\"41470976\"]\n  38 [size=\"24164352\", alpha=\"0.08\", expect_size=\"12082176\"] \n  38 -> 48 [size =\"12082176\"]\n  39 [size=\"77232128\", alpha=\"0.14\", expect_size=\"38616064\"] \n  39 -> 48 [size =\"38616064\"]\n  40 [size=\"16050176\", alpha=\"0.13\", expect_size=\"8025088\"] \n  40 -> 49 [size =\"8025088\"]\n  41 [size=\"41805824\", alpha=\"0.17\", expect_size=\"20902912\"] \n  41 -> 48 [size =\"20902912\"]\n  42 [size=\"92571648\", alpha=\"0.01\", expect_size=\"46285824\"] \n  42 -> 48 [size =\"46285824\"]\n  43 [size=\"43716608\", alpha=\"0.07\", expect_size=\"21858304\"] \n  44 [size=\"70178816\", alpha=\"0.07\", expect_size=\"35089408\"] \n  45 [size=\"82667520\", alpha=\"0.19\", expect_size=\"41333760\"] \n  46 [size=\"98234368\", alpha=\"0.06\", expect_size=\"49117184\"] \n  46 -> 50 [size =\"49117184\"]\n  47 [size=\"32047104\", alpha=\"0.06\", expect_size=\"16023552\"] \n  48 [size=\"39534592\", alpha=\"0.01\", expect_size=\"19767296\"] \n  49 [size=\"77023232\", alpha=\"0.08\", expect_size=\"38511616\"] \n  50 [size=\"47255552\", alpha=\"0.05\", expect_size=\"23627776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.847.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21691733\", alpha=\"0.01\", expect_size=\"6507520\"] \n  1 -> 19 [size =\"6507520\"]\n  1 -> 22 [size =\"6507520\"]\n  1 -> 22 [size =\"6507520\"]\n  1 -> 24 [size =\"6507520\"]\n  2 [size=\"160279893\", alpha=\"0.07\", expect_size=\"48083968\"] \n  2 -> 20 [size =\"48083968\"]\n  2 -> 24 [size =\"48083968\"]\n  2 -> 27 [size =\"48083968\"]\n  2 -> 28 [size =\"48083968\"]\n  3 [size=\"42912427\", alpha=\"0.10\", expect_size=\"12873728\"] \n  3 -> 21 [size =\"12873728\"]\n  3 -> 23 [size =\"12873728\"]\n  3 -> 24 [size =\"12873728\"]\n  4 [size=\"83978240\", alpha=\"0.11\", expect_size=\"25193472\"] \n  4 -> 23 [size =\"25193472\"]\n  4 -> 24 [size =\"25193472\"]\n  5 [size=\"60924587\", alpha=\"0.16\", expect_size=\"18277376\"] \n  5 -> 18 [size =\"18277376\"]\n  5 -> 19 [size =\"18277376\"]\n  5 -> 23 [size =\"18277376\"]\n  6 [size=\"49821013\", alpha=\"0.03\", expect_size=\"14946304\"] \n  6 -> 22 [size =\"14946304\"]\n  6 -> 23 [size =\"14946304\"]\n  6 -> 23 [size =\"14946304\"]\n  6 -> 24 [size =\"14946304\"]\n  6 -> 27 [size =\"14946304\"]\n  6 -> 28 [size =\"14946304\"]\n  7 [size=\"84346880\", alpha=\"0.17\", expect_size=\"25304064\"] \n  7 -> 19 [size =\"25304064\"]\n  7 -> 21 [size =\"25304064\"]\n  7 -> 22 [size =\"25304064\"]\n  7 -> 24 [size =\"25304064\"]\n  7 -> 26 [size =\"25304064\"]\n  7 -> 28 [size =\"25304064\"]\n  8 [size=\"58712747\", alpha=\"0.06\", expect_size=\"17613824\"] \n  8 -> 15 [size =\"17613824\"]\n  8 -> 18 [size =\"17613824\"]\n  8 -> 19 [size =\"17613824\"]\n  8 -> 22 [size =\"17613824\"]\n  8 -> 23 [size =\"17613824\"]\n  8 -> 28 [size =\"17613824\"]\n  9 [size=\"61934933\", alpha=\"0.18\", expect_size=\"18580480\"] \n  9 -> 15 [size =\"18580480\"]\n  9 -> 17 [size =\"18580480\"]\n  9 -> 20 [size =\"18580480\"]\n  9 -> 25 [size =\"18580480\"]\n  9 -> 28 [size =\"18580480\"]\n  9 -> 29 [size =\"18580480\"]\n  10 [size=\"100147200\", alpha=\"0.08\", expect_size=\"30044160\"] \n  10 -> 25 [size =\"30044160\"]\n  10 -> 26 [size =\"30044160\"]\n  10 -> 27 [size =\"30044160\"]\n  10 -> 28 [size =\"30044160\"]\n  11 [size=\"155241813\", alpha=\"0.11\", expect_size=\"46572544\"] \n  11 -> 20 [size =\"46572544\"]\n  11 -> 21 [size =\"46572544\"]\n  11 -> 23 [size =\"46572544\"]\n  11 -> 24 [size =\"46572544\"]\n  11 -> 28 [size =\"46572544\"]\n  12 [size=\"163935573\", alpha=\"0.19\", expect_size=\"49180672\"] \n  12 -> 20 [size =\"49180672\"]\n  12 -> 22 [size =\"49180672\"]\n  12 -> 27 [size =\"49180672\"]\n  13 [size=\"60245333\", alpha=\"0.06\", expect_size=\"18073600\"] \n  13 -> 15 [size =\"18073600\"]\n  13 -> 16 [size =\"18073600\"]\n  13 -> 19 [size =\"18073600\"]\n  13 -> 20 [size =\"18073600\"]\n  13 -> 22 [size =\"18073600\"]\n  13 -> 23 [size =\"18073600\"]\n  13 -> 24 [size =\"18073600\"]\n  14 [size=\"138758827\", alpha=\"0.11\", expect_size=\"41627648\"] \n  14 -> 18 [size =\"41627648\"]\n  14 -> 20 [size =\"41627648\"]\n  14 -> 22 [size =\"41627648\"]\n  15 [size=\"66662400\", alpha=\"0.08\", expect_size=\"19998720\"] \n  15 -> 34 [size =\"19998720\"]\n  15 -> 36 [size =\"19998720\"]\n  15 -> 39 [size =\"19998720\"]\n  15 -> 41 [size =\"19998720\"]\n  15 -> 42 [size =\"19998720\"]\n  16 [size=\"35416747\", alpha=\"0.03\", expect_size=\"10625024\"] \n  16 -> 30 [size =\"10625024\"]\n  16 -> 31 [size =\"10625024\"]\n  16 -> 36 [size =\"10625024\"]\n  16 -> 43 [size =\"10625024\"]\n  17 [size=\"58647893\", alpha=\"0.04\", expect_size=\"17594368\"] \n  17 -> 36 [size =\"17594368\"]\n  17 -> 37 [size =\"17594368\"]\n  17 -> 39 [size =\"17594368\"]\n  17 -> 43 [size =\"17594368\"]\n  18 [size=\"33675947\", alpha=\"0.15\", expect_size=\"10102784\"] \n  18 -> 37 [size =\"10102784\"]\n  18 -> 38 [size =\"10102784\"]\n  18 -> 39 [size =\"10102784\"]\n  18 -> 41 [size =\"10102784\"]\n  18 -> 42 [size =\"10102784\"]\n  18 -> 43 [size =\"10102784\"]\n  19 [size=\"82940587\", alpha=\"0.01\", expect_size=\"24882176\"] \n  19 -> 33 [size =\"24882176\"]\n  19 -> 36 [size =\"24882176\"]\n  19 -> 37 [size =\"24882176\"]\n  19 -> 38 [size =\"24882176\"]\n  19 -> 40 [size =\"24882176\"]\n  19 -> 41 [size =\"24882176\"]\n  20 [size=\"70591147\", alpha=\"0.02\", expect_size=\"21177344\"] \n  20 -> 30 [size =\"21177344\"]\n  20 -> 37 [size =\"21177344\"]\n  20 -> 41 [size =\"21177344\"]\n  21 [size=\"133038080\", alpha=\"0.03\", expect_size=\"39911424\"] \n  21 -> 31 [size =\"39911424\"]\n  22 [size=\"59207680\", alpha=\"0.03\", expect_size=\"17762304\"] \n  22 -> 36 [size =\"17762304\"]\n  22 -> 37 [size =\"17762304\"]\n  22 -> 39 [size =\"17762304\"]\n  22 -> 40 [size =\"17762304\"]\n  22 -> 42 [size =\"17762304\"]\n  23 [size=\"49797120\", alpha=\"0.06\", expect_size=\"14939136\"] \n  23 -> 36 [size =\"14939136\"]\n  23 -> 38 [size =\"14939136\"]\n  23 -> 42 [size =\"14939136\"]\n  24 [size=\"94958933\", alpha=\"0.17\", expect_size=\"28487680\"] \n  24 -> 30 [size =\"28487680\"]\n  24 -> 35 [size =\"28487680\"]\n  24 -> 36 [size =\"28487680\"]\n  24 -> 38 [size =\"28487680\"]\n  24 -> 39 [size =\"28487680\"]\n  24 -> 41 [size =\"28487680\"]\n  24 -> 43 [size =\"28487680\"]\n  25 [size=\"24186880\", alpha=\"0.14\", expect_size=\"7256064\"] \n  25 -> 31 [size =\"7256064\"]\n  25 -> 33 [size =\"7256064\"]\n  25 -> 35 [size =\"7256064\"]\n  25 -> 37 [size =\"7256064\"]\n  25 -> 38 [size =\"7256064\"]\n  25 -> 40 [size =\"7256064\"]\n  25 -> 43 [size =\"7256064\"]\n  26 [size=\"90265600\", alpha=\"0.15\", expect_size=\"27079680\"] \n  26 -> 30 [size =\"27079680\"]\n  26 -> 31 [size =\"27079680\"]\n  26 -> 32 [size =\"27079680\"]\n  26 -> 34 [size =\"27079680\"]\n  26 -> 38 [size =\"27079680\"]\n  27 [size=\"113015467\", alpha=\"0.04\", expect_size=\"33904640\"] \n  27 -> 31 [size =\"33904640\"]\n  27 -> 34 [size =\"33904640\"]\n  27 -> 37 [size =\"33904640\"]\n  27 -> 38 [size =\"33904640\"]\n  27 -> 39 [size =\"33904640\"]\n  27 -> 40 [size =\"33904640\"]\n  28 [size=\"148056747\", alpha=\"0.19\", expect_size=\"44417024\"] \n  28 -> 30 [size =\"44417024\"]\n  28 -> 31 [size =\"44417024\"]\n  28 -> 33 [size =\"44417024\"]\n  28 -> 36 [size =\"44417024\"]\n  28 -> 38 [size =\"44417024\"]\n  28 -> 41 [size =\"44417024\"]\n  29 [size=\"108052480\", alpha=\"0.19\", expect_size=\"32415744\"] \n  29 -> 30 [size =\"32415744\"]\n  29 -> 32 [size =\"32415744\"]\n  29 -> 36 [size =\"32415744\"]\n  29 -> 37 [size =\"32415744\"]\n  29 -> 38 [size =\"32415744\"]\n  29 -> 40 [size =\"32415744\"]\n  29 -> 41 [size =\"32415744\"]\n  29 -> 43 [size =\"32415744\"]\n  30 [size=\"115210240\", alpha=\"0.10\", expect_size=\"34563072\"] \n  30 -> 44 [size =\"34563072\"]\n  30 -> 46 [size =\"34563072\"]\n  30 -> 47 [size =\"34563072\"]\n  30 -> 49 [size =\"34563072\"]\n  31 [size=\"129280000\", alpha=\"0.18\", expect_size=\"38784000\"] \n  31 -> 44 [size =\"38784000\"]\n  31 -> 46 [size =\"38784000\"]\n  31 -> 48 [size =\"38784000\"]\n  31 -> 49 [size =\"38784000\"]\n  31 -> 50 [size =\"38784000\"]\n  32 [size=\"154477227\", alpha=\"0.05\", expect_size=\"46343168\"] \n  32 -> 46 [size =\"46343168\"]\n  32 -> 47 [size =\"46343168\"]\n  32 -> 49 [size =\"46343168\"]\n  33 [size=\"19039573\", alpha=\"0.17\", expect_size=\"5711872\"] \n  33 -> 44 [size =\"5711872\"]\n  33 -> 49 [size =\"5711872\"]\n  34 [size=\"62972587\", alpha=\"0.05\", expect_size=\"18891776\"] \n  34 -> 45 [size =\"18891776\"]\n  34 -> 47 [size =\"18891776\"]\n  34 -> 49 [size =\"18891776\"]\n  34 -> 50 [size =\"18891776\"]\n  35 [size=\"38212267\", alpha=\"0.19\", expect_size=\"11463680\"] \n  35 -> 48 [size =\"11463680\"]\n  36 [size=\"145496747\", alpha=\"0.16\", expect_size=\"43649024\"] \n  36 -> 44 [size =\"43649024\"]\n  36 -> 48 [size =\"43649024\"]\n  36 -> 50 [size =\"43649024\"]\n  37 [size=\"102594560\", alpha=\"0.17\", expect_size=\"30778368\"] \n  37 -> 44 [size =\"30778368\"]\n  37 -> 46 [size =\"30778368\"]\n  37 -> 47 [size =\"30778368\"]\n  37 -> 48 [size =\"30778368\"]\n  37 -> 49 [size =\"30778368\"]\n  37 -> 50 [size =\"30778368\"]\n  38 [size=\"133669547\", alpha=\"0.01\", expect_size=\"40100864\"] \n  38 -> 44 [size =\"40100864\"]\n  38 -> 47 [size =\"40100864\"]\n  38 -> 48 [size =\"40100864\"]\n  38 -> 50 [size =\"40100864\"]\n  39 [size=\"122668373\", alpha=\"0.13\", expect_size=\"36800512\"] \n  39 -> 45 [size =\"36800512\"]\n  39 -> 50 [size =\"36800512\"]\n  40 [size=\"114053120\", alpha=\"0.12\", expect_size=\"34215936\"] \n  40 -> 50 [size =\"34215936\"]\n  40 -> 50 [size =\"34215936\"]\n  41 [size=\"33208320\", alpha=\"0.05\", expect_size=\"9962496\"] \n  41 -> 50 [size =\"9962496\"]\n  42 [size=\"17899520\", alpha=\"0.04\", expect_size=\"5369856\"] \n  42 -> 44 [size =\"5369856\"]\n  42 -> 47 [size =\"5369856\"]\n  42 -> 49 [size =\"5369856\"]\n  43 [size=\"57303040\", alpha=\"0.07\", expect_size=\"17190912\"] \n  43 -> 44 [size =\"17190912\"]\n  43 -> 46 [size =\"17190912\"]\n  43 -> 47 [size =\"17190912\"]\n  43 -> 49 [size =\"17190912\"]\n  44 [size=\"36901547\", alpha=\"0.19\", expect_size=\"11070464\"] \n  45 [size=\"77981013\", alpha=\"0.13\", expect_size=\"23394304\"] \n  46 [size=\"72444587\", alpha=\"0.16\", expect_size=\"21733376\"] \n  47 [size=\"38229333\", alpha=\"0.11\", expect_size=\"11468800\"] \n  48 [size=\"173803520\", alpha=\"0.02\", expect_size=\"52141056\"] \n  49 [size=\"23507627\", alpha=\"0.05\", expect_size=\"7052288\"] \n  50 [size=\"124665173\", alpha=\"0.01\", expect_size=\"37399552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.848.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"118423040\", alpha=\"0.16\", expect_size=\"47369216\"] \n  1 -> 22 [size =\"47369216\"]\n  1 -> 26 [size =\"47369216\"]\n  1 -> 28 [size =\"47369216\"]\n  2 [size=\"130521600\", alpha=\"0.00\", expect_size=\"52208640\"] \n  2 -> 22 [size =\"52208640\"]\n  2 -> 26 [size =\"52208640\"]\n  2 -> 27 [size =\"52208640\"]\n  3 [size=\"93015040\", alpha=\"0.06\", expect_size=\"37206016\"] \n  3 -> 27 [size =\"37206016\"]\n  3 -> 28 [size =\"37206016\"]\n  4 [size=\"74728960\", alpha=\"0.19\", expect_size=\"29891584\"] \n  4 -> 22 [size =\"29891584\"]\n  4 -> 23 [size =\"29891584\"]\n  4 -> 27 [size =\"29891584\"]\n  4 -> 29 [size =\"29891584\"]\n  5 [size=\"87974400\", alpha=\"0.04\", expect_size=\"35189760\"] \n  5 -> 22 [size =\"35189760\"]\n  5 -> 23 [size =\"35189760\"]\n  5 -> 28 [size =\"35189760\"]\n  5 -> 29 [size =\"35189760\"]\n  6 [size=\"74877440\", alpha=\"0.15\", expect_size=\"29950976\"] \n  6 -> 22 [size =\"29950976\"]\n  6 -> 25 [size =\"29950976\"]\n  6 -> 29 [size =\"29950976\"]\n  7 [size=\"51333120\", alpha=\"0.06\", expect_size=\"20533248\"] \n  7 -> 23 [size =\"20533248\"]\n  7 -> 24 [size =\"20533248\"]\n  7 -> 28 [size =\"20533248\"]\n  7 -> 29 [size =\"20533248\"]\n  8 [size=\"97208320\", alpha=\"0.04\", expect_size=\"38883328\"] \n  8 -> 24 [size =\"38883328\"]\n  8 -> 27 [size =\"38883328\"]\n  8 -> 28 [size =\"38883328\"]\n  9 [size=\"126192640\", alpha=\"0.13\", expect_size=\"50477056\"] \n  9 -> 23 [size =\"50477056\"]\n  9 -> 24 [size =\"50477056\"]\n  10 [size=\"121274880\", alpha=\"0.05\", expect_size=\"48509952\"] \n  10 -> 28 [size =\"48509952\"]\n  11 [size=\"119982080\", alpha=\"0.16\", expect_size=\"47992832\"] \n  11 -> 22 [size =\"47992832\"]\n  12 [size=\"93532160\", alpha=\"0.07\", expect_size=\"37412864\"] \n  12 -> 25 [size =\"37412864\"]\n  12 -> 27 [size =\"37412864\"]\n  12 -> 28 [size =\"37412864\"]\n  13 [size=\"94540800\", alpha=\"0.10\", expect_size=\"37816320\"] \n  13 -> 28 [size =\"37816320\"]\n  14 [size=\"129960960\", alpha=\"0.15\", expect_size=\"51984384\"] \n  14 -> 28 [size =\"51984384\"]\n  15 [size=\"125176320\", alpha=\"0.03\", expect_size=\"50070528\"] \n  15 -> 27 [size =\"50070528\"]\n  15 -> 28 [size =\"50070528\"]\n  16 [size=\"29212160\", alpha=\"0.00\", expect_size=\"11684864\"] \n  16 -> 27 [size =\"11684864\"]\n  17 [size=\"118295040\", alpha=\"0.17\", expect_size=\"47318016\"] \n  17 -> 22 [size =\"47318016\"]\n  17 -> 23 [size =\"47318016\"]\n  17 -> 24 [size =\"47318016\"]\n  17 -> 29 [size =\"47318016\"]\n  18 [size=\"35686400\", alpha=\"0.15\", expect_size=\"14274560\"] \n  18 -> 22 [size =\"14274560\"]\n  18 -> 23 [size =\"14274560\"]\n  19 [size=\"59735040\", alpha=\"0.14\", expect_size=\"23894016\"] \n  19 -> 23 [size =\"23894016\"]\n  19 -> 27 [size =\"23894016\"]\n  20 [size=\"18864640\", alpha=\"0.14\", expect_size=\"7545856\"] \n  20 -> 22 [size =\"7545856\"]\n  21 [size=\"46558720\", alpha=\"0.11\", expect_size=\"18623488\"] \n  21 -> 25 [size =\"18623488\"]\n  21 -> 29 [size =\"18623488\"]\n  22 [size=\"24181760\", alpha=\"0.09\", expect_size=\"9672704\"] \n  22 -> 30 [size =\"9672704\"]\n  22 -> 36 [size =\"9672704\"]\n  22 -> 42 [size =\"9672704\"]\n  22 -> 45 [size =\"9672704\"]\n  23 [size=\"63244800\", alpha=\"0.00\", expect_size=\"25297920\"] \n  23 -> 30 [size =\"25297920\"]\n  23 -> 34 [size =\"25297920\"]\n  23 -> 41 [size =\"25297920\"]\n  23 -> 42 [size =\"25297920\"]\n  23 -> 44 [size =\"25297920\"]\n  24 [size=\"122472960\", alpha=\"0.02\", expect_size=\"48989184\"] \n  24 -> 34 [size =\"48989184\"]\n  24 -> 34 [size =\"48989184\"]\n  24 -> 40 [size =\"48989184\"]\n  24 -> 43 [size =\"48989184\"]\n  24 -> 44 [size =\"48989184\"]\n  25 [size=\"92766720\", alpha=\"0.16\", expect_size=\"37106688\"] \n  25 -> 31 [size =\"37106688\"]\n  25 -> 33 [size =\"37106688\"]\n  25 -> 39 [size =\"37106688\"]\n  25 -> 44 [size =\"37106688\"]\n  26 [size=\"110044160\", alpha=\"0.01\", expect_size=\"44017664\"] \n  26 -> 33 [size =\"44017664\"]\n  26 -> 37 [size =\"44017664\"]\n  26 -> 38 [size =\"44017664\"]\n  26 -> 45 [size =\"44017664\"]\n  27 [size=\"111795200\", alpha=\"0.12\", expect_size=\"44718080\"] \n  27 -> 38 [size =\"44718080\"]\n  27 -> 39 [size =\"44718080\"]\n  27 -> 40 [size =\"44718080\"]\n  27 -> 41 [size =\"44718080\"]\n  27 -> 42 [size =\"44718080\"]\n  27 -> 43 [size =\"44718080\"]\n  27 -> 45 [size =\"44718080\"]\n  28 [size=\"92180480\", alpha=\"0.18\", expect_size=\"36872192\"] \n  28 -> 30 [size =\"36872192\"]\n  28 -> 32 [size =\"36872192\"]\n  28 -> 35 [size =\"36872192\"]\n  28 -> 38 [size =\"36872192\"]\n  28 -> 39 [size =\"36872192\"]\n  28 -> 42 [size =\"36872192\"]\n  28 -> 43 [size =\"36872192\"]\n  29 [size=\"65479680\", alpha=\"0.02\", expect_size=\"26191872\"] \n  29 -> 30 [size =\"26191872\"]\n  29 -> 31 [size =\"26191872\"]\n  29 -> 33 [size =\"26191872\"]\n  29 -> 35 [size =\"26191872\"]\n  29 -> 40 [size =\"26191872\"]\n  29 -> 41 [size =\"26191872\"]\n  30 [size=\"29788160\", alpha=\"0.05\", expect_size=\"11915264\"] \n  30 -> 50 [size =\"11915264\"]\n  31 [size=\"111162880\", alpha=\"0.07\", expect_size=\"44465152\"] \n  31 -> 48 [size =\"44465152\"]\n  31 -> 49 [size =\"44465152\"]\n  32 [size=\"61027840\", alpha=\"0.01\", expect_size=\"24411136\"] \n  32 -> 48 [size =\"24411136\"]\n  32 -> 49 [size =\"24411136\"]\n  32 -> 50 [size =\"24411136\"]\n  33 [size=\"114759680\", alpha=\"0.10\", expect_size=\"45903872\"] \n  33 -> 46 [size =\"45903872\"]\n  34 [size=\"116339200\", alpha=\"0.18\", expect_size=\"46535680\"] \n  34 -> 50 [size =\"46535680\"]\n  35 [size=\"127390720\", alpha=\"0.06\", expect_size=\"50956288\"] \n  35 -> 46 [size =\"50956288\"]\n  35 -> 50 [size =\"50956288\"]\n  36 [size=\"104816640\", alpha=\"0.16\", expect_size=\"41926656\"] \n  36 -> 47 [size =\"41926656\"]\n  37 [size=\"110389760\", alpha=\"0.04\", expect_size=\"44155904\"] \n  37 -> 48 [size =\"44155904\"]\n  37 -> 50 [size =\"44155904\"]\n  38 [size=\"64371200\", alpha=\"0.16\", expect_size=\"25748480\"] \n  38 -> 46 [size =\"25748480\"]\n  38 -> 48 [size =\"25748480\"]\n  39 [size=\"50867200\", alpha=\"0.15\", expect_size=\"20346880\"] \n  39 -> 49 [size =\"20346880\"]\n  39 -> 50 [size =\"20346880\"]\n  40 [size=\"64998400\", alpha=\"0.16\", expect_size=\"25999360\"] \n  40 -> 49 [size =\"25999360\"]\n  41 [size=\"96967680\", alpha=\"0.02\", expect_size=\"38787072\"] \n  41 -> 49 [size =\"38787072\"]\n  42 [size=\"17725440\", alpha=\"0.11\", expect_size=\"7090176\"] \n  42 -> 47 [size =\"7090176\"]\n  43 [size=\"25661440\", alpha=\"0.07\", expect_size=\"10264576\"] \n  43 -> 46 [size =\"10264576\"]\n  43 -> 48 [size =\"10264576\"]\n  44 [size=\"84244480\", alpha=\"0.03\", expect_size=\"33697792\"] \n  44 -> 46 [size =\"33697792\"]\n  44 -> 47 [size =\"33697792\"]\n  44 -> 48 [size =\"33697792\"]\n  44 -> 50 [size =\"33697792\"]\n  45 [size=\"74401280\", alpha=\"0.11\", expect_size=\"29760512\"] \n  45 -> 46 [size =\"29760512\"]\n  45 -> 48 [size =\"29760512\"]\n  45 -> 49 [size =\"29760512\"]\n  45 -> 50 [size =\"29760512\"]\n  46 [size=\"108203520\", alpha=\"0.17\", expect_size=\"43281408\"] \n  47 [size=\"83786240\", alpha=\"0.18\", expect_size=\"33514496\"] \n  48 [size=\"106344960\", alpha=\"0.14\", expect_size=\"42537984\"] \n  49 [size=\"80494080\", alpha=\"0.18\", expect_size=\"32197632\"] \n  50 [size=\"52856320\", alpha=\"0.05\", expect_size=\"21142528\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.849.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54900736\", alpha=\"0.11\", expect_size=\"27450368\"] \n  1 -> 2 [size =\"27450368\"]\n  2 [size=\"76705792\", alpha=\"0.16\", expect_size=\"38352896\"] \n  2 -> 3 [size =\"38352896\"]\n  3 [size=\"45867008\", alpha=\"0.18\", expect_size=\"22933504\"] \n  3 -> 4 [size =\"22933504\"]\n  4 [size=\"12437504\", alpha=\"0.16\", expect_size=\"6218752\"] \n  4 -> 5 [size =\"6218752\"]\n  5 [size=\"42760192\", alpha=\"0.18\", expect_size=\"21380096\"] \n  5 -> 6 [size =\"21380096\"]\n  6 [size=\"85338112\", alpha=\"0.20\", expect_size=\"42669056\"] \n  6 -> 7 [size =\"42669056\"]\n  7 [size=\"80607232\", alpha=\"0.14\", expect_size=\"40303616\"] \n  7 -> 8 [size =\"40303616\"]\n  8 [size=\"45582336\", alpha=\"0.09\", expect_size=\"22791168\"] \n  8 -> 9 [size =\"22791168\"]\n  9 [size=\"20406272\", alpha=\"0.08\", expect_size=\"10203136\"] \n  9 -> 10 [size =\"10203136\"]\n  10 [size=\"31150080\", alpha=\"0.16\", expect_size=\"15575040\"] \n  10 -> 11 [size =\"15575040\"]\n  11 [size=\"96204800\", alpha=\"0.14\", expect_size=\"48102400\"] \n  11 -> 12 [size =\"48102400\"]\n  12 [size=\"54329344\", alpha=\"0.14\", expect_size=\"27164672\"] \n  12 -> 13 [size =\"27164672\"]\n  13 [size=\"37281792\", alpha=\"0.10\", expect_size=\"18640896\"] \n  13 -> 14 [size =\"18640896\"]\n  14 [size=\"29681664\", alpha=\"0.18\", expect_size=\"14840832\"] \n  14 -> 15 [size =\"14840832\"]\n  15 [size=\"11892736\", alpha=\"0.05\", expect_size=\"5946368\"] \n  15 -> 16 [size =\"5946368\"]\n  16 [size=\"96018432\", alpha=\"0.06\", expect_size=\"48009216\"] \n  16 -> 17 [size =\"48009216\"]\n  17 [size=\"95092736\", alpha=\"0.14\", expect_size=\"47546368\"] \n  17 -> 18 [size =\"47546368\"]\n  18 [size=\"68927488\", alpha=\"0.01\", expect_size=\"34463744\"] \n  18 -> 19 [size =\"34463744\"]\n  19 [size=\"17235968\", alpha=\"0.10\", expect_size=\"8617984\"] \n  19 -> 20 [size =\"8617984\"]\n  20 [size=\"56283136\", alpha=\"0.12\", expect_size=\"28141568\"] \n  20 -> 21 [size =\"28141568\"]\n  21 [size=\"37892096\", alpha=\"0.04\", expect_size=\"18946048\"] \n  21 -> 22 [size =\"18946048\"]\n  22 [size=\"10821632\", alpha=\"0.09\", expect_size=\"5410816\"] \n  22 -> 23 [size =\"5410816\"]\n  23 [size=\"75583488\", alpha=\"0.02\", expect_size=\"37791744\"] \n  23 -> 24 [size =\"37791744\"]\n  24 [size=\"30605312\", alpha=\"0.16\", expect_size=\"15302656\"] \n  24 -> 25 [size =\"15302656\"]\n  25 [size=\"22784000\", alpha=\"0.16\", expect_size=\"11392000\"] \n  25 -> 26 [size =\"11392000\"]\n  26 [size=\"47581184\", alpha=\"0.12\", expect_size=\"23790592\"] \n  26 -> 27 [size =\"23790592\"]\n  27 [size=\"77950976\", alpha=\"0.03\", expect_size=\"38975488\"] \n  27 -> 28 [size =\"38975488\"]\n  28 [size=\"47781888\", alpha=\"0.01\", expect_size=\"23890944\"] \n  28 -> 29 [size =\"23890944\"]\n  29 [size=\"51126272\", alpha=\"0.02\", expect_size=\"25563136\"] \n  29 -> 30 [size =\"25563136\"]\n  30 [size=\"99622912\", alpha=\"0.06\", expect_size=\"49811456\"] \n  30 -> 31 [size =\"49811456\"]\n  31 [size=\"63242240\", alpha=\"0.09\", expect_size=\"31621120\"] \n  31 -> 32 [size =\"31621120\"]\n  32 [size=\"80775168\", alpha=\"0.02\", expect_size=\"40387584\"] \n  32 -> 33 [size =\"40387584\"]\n  33 [size=\"29696000\", alpha=\"0.20\", expect_size=\"14848000\"] \n  33 -> 34 [size =\"14848000\"]\n  34 [size=\"39761920\", alpha=\"0.02\", expect_size=\"19880960\"] \n  34 -> 35 [size =\"19880960\"]\n  35 [size=\"18552832\", alpha=\"0.04\", expect_size=\"9276416\"] \n  35 -> 36 [size =\"9276416\"]\n  36 [size=\"92715008\", alpha=\"0.05\", expect_size=\"46357504\"] \n  36 -> 37 [size =\"46357504\"]\n  37 [size=\"53985280\", alpha=\"0.03\", expect_size=\"26992640\"] \n  37 -> 38 [size =\"26992640\"]\n  38 [size=\"66861056\", alpha=\"0.14\", expect_size=\"33430528\"] \n  38 -> 39 [size =\"33430528\"]\n  39 [size=\"72067072\", alpha=\"0.06\", expect_size=\"36033536\"] \n  39 -> 40 [size =\"36033536\"]\n  40 [size=\"79525888\", alpha=\"0.08\", expect_size=\"39762944\"] \n  40 -> 41 [size =\"39762944\"]\n  41 [size=\"15529984\", alpha=\"0.16\", expect_size=\"7764992\"] \n  41 -> 42 [size =\"7764992\"]\n  42 [size=\"60172288\", alpha=\"0.04\", expect_size=\"30086144\"] \n  42 -> 43 [size =\"30086144\"]\n  43 [size=\"68550656\", alpha=\"0.05\", expect_size=\"34275328\"] \n  43 -> 44 [size =\"34275328\"]\n  44 [size=\"67467264\", alpha=\"0.11\", expect_size=\"33733632\"] \n  44 -> 45 [size =\"33733632\"]\n  45 [size=\"76115968\", alpha=\"0.20\", expect_size=\"38057984\"] \n  45 -> 46 [size =\"38057984\"]\n  46 [size=\"95905792\", alpha=\"0.16\", expect_size=\"47952896\"] \n  46 -> 47 [size =\"47952896\"]\n  47 [size=\"23625728\", alpha=\"0.07\", expect_size=\"11812864\"] \n  47 -> 48 [size =\"11812864\"]\n  48 [size=\"38258688\", alpha=\"0.05\", expect_size=\"19129344\"] \n  48 -> 49 [size =\"19129344\"]\n  49 [size=\"103870464\", alpha=\"0.12\", expect_size=\"51935232\"] \n  49 -> 50 [size =\"51935232\"]\n  50 [size=\"38471680\", alpha=\"0.18\", expect_size=\"19235840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86002347\", alpha=\"0.09\", expect_size=\"25800704\"] \n  1 -> 2 [size =\"25800704\"]\n  2 [size=\"103683413\", alpha=\"0.04\", expect_size=\"31105024\"] \n  2 -> 3 [size =\"31105024\"]\n  3 [size=\"78919680\", alpha=\"0.14\", expect_size=\"23675904\"] \n  3 -> 4 [size =\"23675904\"]\n  4 [size=\"76267520\", alpha=\"0.08\", expect_size=\"22880256\"] \n  4 -> 5 [size =\"22880256\"]\n  5 [size=\"47588693\", alpha=\"0.02\", expect_size=\"14276608\"] \n  5 -> 6 [size =\"14276608\"]\n  6 [size=\"163293867\", alpha=\"0.04\", expect_size=\"48988160\"] \n  6 -> 7 [size =\"48988160\"]\n  7 [size=\"44055893\", alpha=\"0.05\", expect_size=\"13216768\"] \n  7 -> 8 [size =\"13216768\"]\n  8 [size=\"91781120\", alpha=\"0.01\", expect_size=\"27534336\"] \n  8 -> 9 [size =\"27534336\"]\n  9 [size=\"66000213\", alpha=\"0.09\", expect_size=\"19800064\"] \n  9 -> 10 [size =\"19800064\"]\n  10 [size=\"127754240\", alpha=\"0.17\", expect_size=\"38326272\"] \n  10 -> 11 [size =\"38326272\"]\n  11 [size=\"58350933\", alpha=\"0.12\", expect_size=\"17505280\"] \n  11 -> 12 [size =\"17505280\"]\n  12 [size=\"129365333\", alpha=\"0.03\", expect_size=\"38809600\"] \n  12 -> 13 [size =\"38809600\"]\n  13 [size=\"159320747\", alpha=\"0.08\", expect_size=\"47796224\"] \n  13 -> 14 [size =\"47796224\"]\n  14 [size=\"108608853\", alpha=\"0.12\", expect_size=\"32582656\"] \n  14 -> 15 [size =\"32582656\"]\n  15 [size=\"167946240\", alpha=\"0.14\", expect_size=\"50383872\"] \n  15 -> 16 [size =\"50383872\"]\n  16 [size=\"25941333\", alpha=\"0.00\", expect_size=\"7782400\"] \n  16 -> 17 [size =\"7782400\"]\n  17 [size=\"60992853\", alpha=\"0.08\", expect_size=\"18297856\"] \n  17 -> 18 [size =\"18297856\"]\n  18 [size=\"101686613\", alpha=\"0.11\", expect_size=\"30505984\"] \n  18 -> 19 [size =\"30505984\"]\n  19 [size=\"111701333\", alpha=\"0.02\", expect_size=\"33510400\"] \n  19 -> 20 [size =\"33510400\"]\n  20 [size=\"21722453\", alpha=\"0.09\", expect_size=\"6516736\"] \n  20 -> 21 [size =\"6516736\"]\n  21 [size=\"154108587\", alpha=\"0.05\", expect_size=\"46232576\"] \n  21 -> 22 [size =\"46232576\"]\n  22 [size=\"89995947\", alpha=\"0.11\", expect_size=\"26998784\"] \n  22 -> 23 [size =\"26998784\"]\n  23 [size=\"110926507\", alpha=\"0.06\", expect_size=\"33277952\"] \n  23 -> 24 [size =\"33277952\"]\n  24 [size=\"172386987\", alpha=\"0.08\", expect_size=\"51716096\"] \n  24 -> 25 [size =\"51716096\"]\n  25 [size=\"110380373\", alpha=\"0.13\", expect_size=\"33114112\"] \n  25 -> 26 [size =\"33114112\"]\n  26 [size=\"59299840\", alpha=\"0.18\", expect_size=\"17789952\"] \n  26 -> 27 [size =\"17789952\"]\n  27 [size=\"59924480\", alpha=\"0.05\", expect_size=\"17977344\"] \n  27 -> 28 [size =\"17977344\"]\n  28 [size=\"119722667\", alpha=\"0.02\", expect_size=\"35916800\"] \n  28 -> 29 [size =\"35916800\"]\n  29 [size=\"46646613\", alpha=\"0.05\", expect_size=\"13993984\"] \n  29 -> 30 [size =\"13993984\"]\n  30 [size=\"65938773\", alpha=\"0.03\", expect_size=\"19781632\"] \n  30 -> 31 [size =\"19781632\"]\n  31 [size=\"139373227\", alpha=\"0.05\", expect_size=\"41811968\"] \n  31 -> 32 [size =\"41811968\"]\n  32 [size=\"20910080\", alpha=\"0.02\", expect_size=\"6273024\"] \n  32 -> 33 [size =\"6273024\"]\n  33 [size=\"111329280\", alpha=\"0.17\", expect_size=\"33398784\"] \n  33 -> 34 [size =\"33398784\"]\n  34 [size=\"157501440\", alpha=\"0.03\", expect_size=\"47250432\"] \n  34 -> 35 [size =\"47250432\"]\n  35 [size=\"60934827\", alpha=\"0.08\", expect_size=\"18280448\"] \n  35 -> 36 [size =\"18280448\"]\n  36 [size=\"166307840\", alpha=\"0.15\", expect_size=\"49892352\"] \n  36 -> 37 [size =\"49892352\"]\n  37 [size=\"147585707\", alpha=\"0.07\", expect_size=\"44275712\"] \n  37 -> 38 [size =\"44275712\"]\n  38 [size=\"31344640\", alpha=\"0.10\", expect_size=\"9403392\"] \n  38 -> 39 [size =\"9403392\"]\n  39 [size=\"49186133\", alpha=\"0.04\", expect_size=\"14755840\"] \n  39 -> 40 [size =\"14755840\"]\n  40 [size=\"92340907\", alpha=\"0.20\", expect_size=\"27702272\"] \n  40 -> 41 [size =\"27702272\"]\n  41 [size=\"113807360\", alpha=\"0.12\", expect_size=\"34142208\"] \n  41 -> 42 [size =\"34142208\"]\n  42 [size=\"154460160\", alpha=\"0.14\", expect_size=\"46338048\"] \n  42 -> 43 [size =\"46338048\"]\n  43 [size=\"168898560\", alpha=\"0.08\", expect_size=\"50669568\"] \n  43 -> 44 [size =\"50669568\"]\n  44 [size=\"141690880\", alpha=\"0.01\", expect_size=\"42507264\"] \n  44 -> 45 [size =\"42507264\"]\n  45 [size=\"163966293\", alpha=\"0.06\", expect_size=\"49189888\"] \n  45 -> 46 [size =\"49189888\"]\n  46 [size=\"71628800\", alpha=\"0.17\", expect_size=\"21488640\"] \n  46 -> 47 [size =\"21488640\"]\n  47 [size=\"30429867\", alpha=\"0.13\", expect_size=\"9128960\"] \n  47 -> 48 [size =\"9128960\"]\n  48 [size=\"83886080\", alpha=\"0.02\", expect_size=\"25165824\"] \n  48 -> 49 [size =\"25165824\"]\n  49 [size=\"158924800\", alpha=\"0.15\", expect_size=\"47677440\"] \n  49 -> 50 [size =\"47677440\"]\n  50 [size=\"35201707\", alpha=\"0.14\", expect_size=\"10560512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.850.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78331904\", alpha=\"0.05\", expect_size=\"39165952\"] \n  1 -> 2 [size =\"39165952\"]\n  2 [size=\"44773376\", alpha=\"0.19\", expect_size=\"22386688\"] \n  2 -> 3 [size =\"22386688\"]\n  3 [size=\"58107904\", alpha=\"0.09\", expect_size=\"29053952\"] \n  3 -> 4 [size =\"29053952\"]\n  4 [size=\"43225088\", alpha=\"0.02\", expect_size=\"21612544\"] \n  4 -> 5 [size =\"21612544\"]\n  5 [size=\"18395136\", alpha=\"0.01\", expect_size=\"9197568\"] \n  5 -> 6 [size =\"9197568\"]\n  6 [size=\"19300352\", alpha=\"0.18\", expect_size=\"9650176\"] \n  6 -> 7 [size =\"9650176\"]\n  7 [size=\"41314304\", alpha=\"0.01\", expect_size=\"20657152\"] \n  7 -> 8 [size =\"20657152\"]\n  8 [size=\"49330176\", alpha=\"0.20\", expect_size=\"24665088\"] \n  8 -> 9 [size =\"24665088\"]\n  9 [size=\"96102400\", alpha=\"0.13\", expect_size=\"48051200\"] \n  9 -> 10 [size =\"48051200\"]\n  10 [size=\"30007296\", alpha=\"0.06\", expect_size=\"15003648\"] \n  10 -> 11 [size =\"15003648\"]\n  11 [size=\"102316032\", alpha=\"0.12\", expect_size=\"51158016\"] \n  11 -> 12 [size =\"51158016\"]\n  12 [size=\"31223808\", alpha=\"0.13\", expect_size=\"15611904\"] \n  12 -> 13 [size =\"15611904\"]\n  13 [size=\"28821504\", alpha=\"0.11\", expect_size=\"14410752\"] \n  13 -> 14 [size =\"14410752\"]\n  14 [size=\"73332736\", alpha=\"0.13\", expect_size=\"36666368\"] \n  14 -> 15 [size =\"36666368\"]\n  15 [size=\"82980864\", alpha=\"0.12\", expect_size=\"41490432\"] \n  15 -> 16 [size =\"41490432\"]\n  16 [size=\"85469184\", alpha=\"0.13\", expect_size=\"42734592\"] \n  16 -> 17 [size =\"42734592\"]\n  17 [size=\"77101056\", alpha=\"0.08\", expect_size=\"38550528\"] \n  17 -> 18 [size =\"38550528\"]\n  18 [size=\"81018880\", alpha=\"0.11\", expect_size=\"40509440\"] \n  18 -> 19 [size =\"40509440\"]\n  19 [size=\"80359424\", alpha=\"0.18\", expect_size=\"40179712\"] \n  19 -> 20 [size =\"40179712\"]\n  20 [size=\"48302080\", alpha=\"0.06\", expect_size=\"24151040\"] \n  20 -> 21 [size =\"24151040\"]\n  21 [size=\"75382784\", alpha=\"0.09\", expect_size=\"37691392\"] \n  21 -> 22 [size =\"37691392\"]\n  22 [size=\"35387392\", alpha=\"0.18\", expect_size=\"17693696\"] \n  22 -> 23 [size =\"17693696\"]\n  23 [size=\"99043328\", alpha=\"0.18\", expect_size=\"49521664\"] \n  23 -> 24 [size =\"49521664\"]\n  24 [size=\"57411584\", alpha=\"0.05\", expect_size=\"28705792\"] \n  24 -> 25 [size =\"28705792\"]\n  25 [size=\"22579200\", alpha=\"0.13\", expect_size=\"11289600\"] \n  25 -> 26 [size =\"11289600\"]\n  26 [size=\"80474112\", alpha=\"0.03\", expect_size=\"40237056\"] \n  26 -> 27 [size =\"40237056\"]\n  27 [size=\"46303232\", alpha=\"0.20\", expect_size=\"23151616\"] \n  27 -> 28 [size =\"23151616\"]\n  28 [size=\"82415616\", alpha=\"0.05\", expect_size=\"41207808\"] \n  28 -> 29 [size =\"41207808\"]\n  29 [size=\"41533440\", alpha=\"0.08\", expect_size=\"20766720\"] \n  29 -> 30 [size =\"20766720\"]\n  30 [size=\"34408448\", alpha=\"0.15\", expect_size=\"17204224\"] \n  30 -> 31 [size =\"17204224\"]\n  31 [size=\"64874496\", alpha=\"0.02\", expect_size=\"32437248\"] \n  31 -> 32 [size =\"32437248\"]\n  32 [size=\"12032000\", alpha=\"0.13\", expect_size=\"6016000\"] \n  32 -> 33 [size =\"6016000\"]\n  33 [size=\"98916352\", alpha=\"0.08\", expect_size=\"49458176\"] \n  33 -> 34 [size =\"49458176\"]\n  34 [size=\"90034176\", alpha=\"0.16\", expect_size=\"45017088\"] \n  34 -> 35 [size =\"45017088\"]\n  35 [size=\"18124800\", alpha=\"0.00\", expect_size=\"9062400\"] \n  35 -> 36 [size =\"9062400\"]\n  36 [size=\"79845376\", alpha=\"0.20\", expect_size=\"39922688\"] \n  36 -> 37 [size =\"39922688\"]\n  37 [size=\"95264768\", alpha=\"0.13\", expect_size=\"47632384\"] \n  37 -> 38 [size =\"47632384\"]\n  38 [size=\"95213568\", alpha=\"0.02\", expect_size=\"47606784\"] \n  38 -> 39 [size =\"47606784\"]\n  39 [size=\"24164352\", alpha=\"0.05\", expect_size=\"12082176\"] \n  39 -> 40 [size =\"12082176\"]\n  40 [size=\"62107648\", alpha=\"0.17\", expect_size=\"31053824\"] \n  40 -> 41 [size =\"31053824\"]\n  41 [size=\"39821312\", alpha=\"0.02\", expect_size=\"19910656\"] \n  41 -> 42 [size =\"19910656\"]\n  42 [size=\"49137664\", alpha=\"0.12\", expect_size=\"24568832\"] \n  42 -> 43 [size =\"24568832\"]\n  43 [size=\"16422912\", alpha=\"0.02\", expect_size=\"8211456\"] \n  43 -> 44 [size =\"8211456\"]\n  44 [size=\"54384640\", alpha=\"0.01\", expect_size=\"27192320\"] \n  44 -> 45 [size =\"27192320\"]\n  45 [size=\"37126144\", alpha=\"0.03\", expect_size=\"18563072\"] \n  45 -> 46 [size =\"18563072\"]\n  46 [size=\"37144576\", alpha=\"0.19\", expect_size=\"18572288\"] \n  46 -> 47 [size =\"18572288\"]\n  47 [size=\"35053568\", alpha=\"0.03\", expect_size=\"17526784\"] \n  47 -> 48 [size =\"17526784\"]\n  48 [size=\"97466368\", alpha=\"0.03\", expect_size=\"48733184\"] \n  48 -> 49 [size =\"48733184\"]\n  49 [size=\"11804672\", alpha=\"0.09\", expect_size=\"5902336\"] \n  49 -> 50 [size =\"5902336\"]\n  50 [size=\"36683776\", alpha=\"0.20\", expect_size=\"18341888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.851.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"71618560\", alpha=\"0.19\", expect_size=\"28647424\"] \n  1 -> 13 [size =\"28647424\"]\n  1 -> 14 [size =\"28647424\"]\n  1 -> 16 [size =\"28647424\"]\n  1 -> 17 [size =\"28647424\"]\n  2 [size=\"103275520\", alpha=\"0.00\", expect_size=\"41310208\"] \n  2 -> 11 [size =\"41310208\"]\n  2 -> 13 [size =\"41310208\"]\n  2 -> 17 [size =\"41310208\"]\n  3 [size=\"99560960\", alpha=\"0.04\", expect_size=\"39824384\"] \n  3 -> 13 [size =\"39824384\"]\n  4 [size=\"111193600\", alpha=\"0.04\", expect_size=\"44477440\"] \n  4 -> 10 [size =\"44477440\"]\n  4 -> 14 [size =\"44477440\"]\n  4 -> 15 [size =\"44477440\"]\n  5 [size=\"39357440\", alpha=\"0.07\", expect_size=\"15742976\"] \n  5 -> 11 [size =\"15742976\"]\n  5 -> 14 [size =\"15742976\"]\n  5 -> 15 [size =\"15742976\"]\n  5 -> 16 [size =\"15742976\"]\n  6 [size=\"130204160\", alpha=\"0.02\", expect_size=\"52081664\"] \n  6 -> 12 [size =\"52081664\"]\n  7 [size=\"76646400\", alpha=\"0.13\", expect_size=\"30658560\"] \n  8 [size=\"82245120\", alpha=\"0.17\", expect_size=\"32898048\"] \n  8 -> 10 [size =\"32898048\"]\n  8 -> 11 [size =\"32898048\"]\n  8 -> 13 [size =\"32898048\"]\n  8 -> 14 [size =\"32898048\"]\n  9 [size=\"14359040\", alpha=\"0.17\", expect_size=\"5743616\"] \n  9 -> 10 [size =\"5743616\"]\n  9 -> 11 [size =\"5743616\"]\n  9 -> 13 [size =\"5743616\"]\n  9 -> 15 [size =\"5743616\"]\n  9 -> 16 [size =\"5743616\"]\n  10 [size=\"27077120\", alpha=\"0.15\", expect_size=\"10830848\"] \n  10 -> 21 [size =\"10830848\"]\n  10 -> 24 [size =\"10830848\"]\n  10 -> 26 [size =\"10830848\"]\n  10 -> 30 [size =\"10830848\"]\n  10 -> 31 [size =\"10830848\"]\n  10 -> 34 [size =\"10830848\"]\n  11 [size=\"75292160\", alpha=\"0.03\", expect_size=\"30116864\"] \n  11 -> 18 [size =\"30116864\"]\n  11 -> 19 [size =\"30116864\"]\n  11 -> 22 [size =\"30116864\"]\n  11 -> 23 [size =\"30116864\"]\n  11 -> 33 [size =\"30116864\"]\n  12 [size=\"68308480\", alpha=\"0.10\", expect_size=\"27323392\"] \n  12 -> 18 [size =\"27323392\"]\n  12 -> 19 [size =\"27323392\"]\n  12 -> 22 [size =\"27323392\"]\n  12 -> 23 [size =\"27323392\"]\n  12 -> 24 [size =\"27323392\"]\n  12 -> 25 [size =\"27323392\"]\n  12 -> 26 [size =\"27323392\"]\n  12 -> 28 [size =\"27323392\"]\n  12 -> 32 [size =\"27323392\"]\n  12 -> 35 [size =\"27323392\"]\n  12 -> 36 [size =\"27323392\"]\n  13 [size=\"70103040\", alpha=\"0.13\", expect_size=\"28041216\"] \n  13 -> 18 [size =\"28041216\"]\n  13 -> 22 [size =\"28041216\"]\n  13 -> 23 [size =\"28041216\"]\n  13 -> 28 [size =\"28041216\"]\n  13 -> 29 [size =\"28041216\"]\n  13 -> 30 [size =\"28041216\"]\n  13 -> 32 [size =\"28041216\"]\n  14 [size=\"94464000\", alpha=\"0.07\", expect_size=\"37785600\"] \n  14 -> 21 [size =\"37785600\"]\n  14 -> 25 [size =\"37785600\"]\n  14 -> 28 [size =\"37785600\"]\n  14 -> 31 [size =\"37785600\"]\n  14 -> 33 [size =\"37785600\"]\n  14 -> 35 [size =\"37785600\"]\n  15 [size=\"119866880\", alpha=\"0.16\", expect_size=\"47946752\"] \n  15 -> 21 [size =\"47946752\"]\n  15 -> 28 [size =\"47946752\"]\n  15 -> 30 [size =\"47946752\"]\n  15 -> 33 [size =\"47946752\"]\n  15 -> 34 [size =\"47946752\"]\n  15 -> 35 [size =\"47946752\"]\n  15 -> 36 [size =\"47946752\"]\n  16 [size=\"42462720\", alpha=\"0.12\", expect_size=\"16985088\"] \n  16 -> 21 [size =\"16985088\"]\n  16 -> 27 [size =\"16985088\"]\n  16 -> 32 [size =\"16985088\"]\n  16 -> 34 [size =\"16985088\"]\n  16 -> 35 [size =\"16985088\"]\n  16 -> 36 [size =\"16985088\"]\n  17 [size=\"51704320\", alpha=\"0.03\", expect_size=\"20681728\"] \n  17 -> 20 [size =\"20681728\"]\n  17 -> 24 [size =\"20681728\"]\n  17 -> 25 [size =\"20681728\"]\n  17 -> 37 [size =\"20681728\"]\n  18 [size=\"13342720\", alpha=\"0.17\", expect_size=\"5337088\"] \n  18 -> 40 [size =\"5337088\"]\n  19 [size=\"116433920\", alpha=\"0.13\", expect_size=\"46573568\"] \n  19 -> 38 [size =\"46573568\"]\n  19 -> 45 [size =\"46573568\"]\n  19 -> 50 [size =\"46573568\"]\n  20 [size=\"98280960\", alpha=\"0.10\", expect_size=\"39312384\"] \n  20 -> 40 [size =\"39312384\"]\n  20 -> 42 [size =\"39312384\"]\n  20 -> 44 [size =\"39312384\"]\n  20 -> 48 [size =\"39312384\"]\n  21 [size=\"67878400\", alpha=\"0.17\", expect_size=\"27151360\"] \n  21 -> 40 [size =\"27151360\"]\n  21 -> 43 [size =\"27151360\"]\n  21 -> 44 [size =\"27151360\"]\n  21 -> 46 [size =\"27151360\"]\n  21 -> 47 [size =\"27151360\"]\n  22 [size=\"84587520\", alpha=\"0.19\", expect_size=\"33835008\"] \n  22 -> 47 [size =\"33835008\"]\n  22 -> 50 [size =\"33835008\"]\n  23 [size=\"24919040\", alpha=\"0.16\", expect_size=\"9967616\"] \n  23 -> 41 [size =\"9967616\"]\n  23 -> 43 [size =\"9967616\"]\n  23 -> 44 [size =\"9967616\"]\n  24 [size=\"99827200\", alpha=\"0.09\", expect_size=\"39930880\"] \n  24 -> 38 [size =\"39930880\"]\n  24 -> 43 [size =\"39930880\"]\n  24 -> 48 [size =\"39930880\"]\n  24 -> 50 [size =\"39930880\"]\n  25 [size=\"20674560\", alpha=\"0.07\", expect_size=\"8269824\"] \n  25 -> 41 [size =\"8269824\"]\n  25 -> 43 [size =\"8269824\"]\n  25 -> 47 [size =\"8269824\"]\n  25 -> 48 [size =\"8269824\"]\n  26 [size=\"116334080\", alpha=\"0.05\", expect_size=\"46533632\"] \n  26 -> 47 [size =\"46533632\"]\n  27 [size=\"70461440\", alpha=\"0.14\", expect_size=\"28184576\"] \n  27 -> 41 [size =\"28184576\"]\n  27 -> 43 [size =\"28184576\"]\n  28 [size=\"88622080\", alpha=\"0.14\", expect_size=\"35448832\"] \n  28 -> 40 [size =\"35448832\"]\n  28 -> 43 [size =\"35448832\"]\n  29 [size=\"70837760\", alpha=\"0.14\", expect_size=\"28335104\"] \n  29 -> 46 [size =\"28335104\"]\n  29 -> 49 [size =\"28335104\"]\n  30 [size=\"29806080\", alpha=\"0.17\", expect_size=\"11922432\"] \n  30 -> 40 [size =\"11922432\"]\n  30 -> 42 [size =\"11922432\"]\n  30 -> 49 [size =\"11922432\"]\n  31 [size=\"88949760\", alpha=\"0.11\", expect_size=\"35579904\"] \n  31 -> 42 [size =\"35579904\"]\n  31 -> 43 [size =\"35579904\"]\n  31 -> 47 [size =\"35579904\"]\n  31 -> 48 [size =\"35579904\"]\n  32 [size=\"70853120\", alpha=\"0.14\", expect_size=\"28341248\"] \n  32 -> 38 [size =\"28341248\"]\n  32 -> 42 [size =\"28341248\"]\n  32 -> 47 [size =\"28341248\"]\n  32 -> 48 [size =\"28341248\"]\n  32 -> 50 [size =\"28341248\"]\n  33 [size=\"65687040\", alpha=\"0.06\", expect_size=\"26274816\"] \n  33 -> 38 [size =\"26274816\"]\n  33 -> 43 [size =\"26274816\"]\n  33 -> 48 [size =\"26274816\"]\n  33 -> 49 [size =\"26274816\"]\n  33 -> 50 [size =\"26274816\"]\n  34 [size=\"41940480\", alpha=\"0.12\", expect_size=\"16776192\"] \n  34 -> 38 [size =\"16776192\"]\n  34 -> 44 [size =\"16776192\"]\n  34 -> 46 [size =\"16776192\"]\n  35 [size=\"97702400\", alpha=\"0.16\", expect_size=\"39080960\"] \n  35 -> 38 [size =\"39080960\"]\n  35 -> 39 [size =\"39080960\"]\n  35 -> 40 [size =\"39080960\"]\n  35 -> 44 [size =\"39080960\"]\n  35 -> 48 [size =\"39080960\"]\n  36 [size=\"23293440\", alpha=\"0.06\", expect_size=\"9317376\"] \n  36 -> 40 [size =\"9317376\"]\n  36 -> 41 [size =\"9317376\"]\n  36 -> 43 [size =\"9317376\"]\n  36 -> 44 [size =\"9317376\"]\n  37 [size=\"53777920\", alpha=\"0.02\", expect_size=\"21511168\"] \n  37 -> 40 [size =\"21511168\"]\n  37 -> 42 [size =\"21511168\"]\n  37 -> 44 [size =\"21511168\"]\n  37 -> 44 [size =\"21511168\"]\n  37 -> 49 [size =\"21511168\"]\n  37 -> 50 [size =\"21511168\"]\n  38 [size=\"16765440\", alpha=\"0.18\", expect_size=\"6706176\"] \n  39 [size=\"99361280\", alpha=\"0.11\", expect_size=\"39744512\"] \n  40 [size=\"66887680\", alpha=\"0.19\", expect_size=\"26755072\"] \n  41 [size=\"51281920\", alpha=\"0.16\", expect_size=\"20512768\"] \n  42 [size=\"114728960\", alpha=\"0.05\", expect_size=\"45891584\"] \n  43 [size=\"76505600\", alpha=\"0.16\", expect_size=\"30602240\"] \n  44 [size=\"111567360\", alpha=\"0.02\", expect_size=\"44626944\"] \n  45 [size=\"65346560\", alpha=\"0.10\", expect_size=\"26138624\"] \n  46 [size=\"44602880\", alpha=\"0.14\", expect_size=\"17841152\"] \n  47 [size=\"78694400\", alpha=\"0.09\", expect_size=\"31477760\"] \n  48 [size=\"88256000\", alpha=\"0.16\", expect_size=\"35302400\"] \n  49 [size=\"73523200\", alpha=\"0.13\", expect_size=\"29409280\"] \n  50 [size=\"19857920\", alpha=\"0.13\", expect_size=\"7943168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.852.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18408107\", alpha=\"0.07\", expect_size=\"5522432\"] \n  1 -> 40 [size =\"5522432\"]\n  1 -> 41 [size =\"5522432\"]\n  1 -> 42 [size =\"5522432\"]\n  1 -> 43 [size =\"5522432\"]\n  1 -> 46 [size =\"5522432\"]\n  1 -> 49 [size =\"5522432\"]\n  1 -> 50 [size =\"5522432\"]\n  2 [size=\"150599680\", alpha=\"0.07\", expect_size=\"45179904\"] \n  2 -> 41 [size =\"45179904\"]\n  2 -> 42 [size =\"45179904\"]\n  2 -> 45 [size =\"45179904\"]\n  2 -> 46 [size =\"45179904\"]\n  2 -> 46 [size =\"45179904\"]\n  2 -> 47 [size =\"45179904\"]\n  3 [size=\"91392000\", alpha=\"0.05\", expect_size=\"27417600\"] \n  3 -> 41 [size =\"27417600\"]\n  3 -> 46 [size =\"27417600\"]\n  3 -> 48 [size =\"27417600\"]\n  3 -> 49 [size =\"27417600\"]\n  3 -> 50 [size =\"27417600\"]\n  4 [size=\"170420907\", alpha=\"0.19\", expect_size=\"51126272\"] \n  4 -> 40 [size =\"51126272\"]\n  4 -> 41 [size =\"51126272\"]\n  4 -> 42 [size =\"51126272\"]\n  4 -> 45 [size =\"51126272\"]\n  4 -> 46 [size =\"51126272\"]\n  4 -> 49 [size =\"51126272\"]\n  5 [size=\"46830933\", alpha=\"0.02\", expect_size=\"14049280\"] \n  5 -> 41 [size =\"14049280\"]\n  5 -> 43 [size =\"14049280\"]\n  5 -> 45 [size =\"14049280\"]\n  5 -> 46 [size =\"14049280\"]\n  5 -> 46 [size =\"14049280\"]\n  6 [size=\"20916907\", alpha=\"0.17\", expect_size=\"6275072\"] \n  6 -> 43 [size =\"6275072\"]\n  6 -> 46 [size =\"6275072\"]\n  6 -> 48 [size =\"6275072\"]\n  7 [size=\"89654613\", alpha=\"0.19\", expect_size=\"26896384\"] \n  7 -> 41 [size =\"26896384\"]\n  7 -> 44 [size =\"26896384\"]\n  7 -> 46 [size =\"26896384\"]\n  7 -> 47 [size =\"26896384\"]\n  8 [size=\"64989867\", alpha=\"0.11\", expect_size=\"19496960\"] \n  8 -> 41 [size =\"19496960\"]\n  8 -> 42 [size =\"19496960\"]\n  8 -> 45 [size =\"19496960\"]\n  8 -> 46 [size =\"19496960\"]\n  8 -> 50 [size =\"19496960\"]\n  9 [size=\"117445973\", alpha=\"0.05\", expect_size=\"35233792\"] \n  9 -> 41 [size =\"35233792\"]\n  9 -> 45 [size =\"35233792\"]\n  9 -> 46 [size =\"35233792\"]\n  9 -> 48 [size =\"35233792\"]\n  9 -> 50 [size =\"35233792\"]\n  10 [size=\"89204053\", alpha=\"0.01\", expect_size=\"26761216\"] \n  10 -> 41 [size =\"26761216\"]\n  10 -> 43 [size =\"26761216\"]\n  10 -> 44 [size =\"26761216\"]\n  10 -> 45 [size =\"26761216\"]\n  10 -> 47 [size =\"26761216\"]\n  11 [size=\"148667733\", alpha=\"0.12\", expect_size=\"44600320\"] \n  11 -> 41 [size =\"44600320\"]\n  11 -> 44 [size =\"44600320\"]\n  11 -> 45 [size =\"44600320\"]\n  12 [size=\"49732267\", alpha=\"0.16\", expect_size=\"14919680\"] \n  12 -> 41 [size =\"14919680\"]\n  12 -> 43 [size =\"14919680\"]\n  12 -> 44 [size =\"14919680\"]\n  12 -> 46 [size =\"14919680\"]\n  12 -> 47 [size =\"14919680\"]\n  12 -> 49 [size =\"14919680\"]\n  13 [size=\"106796373\", alpha=\"0.20\", expect_size=\"32038912\"] \n  13 -> 40 [size =\"32038912\"]\n  13 -> 44 [size =\"32038912\"]\n  13 -> 44 [size =\"32038912\"]\n  13 -> 49 [size =\"32038912\"]\n  13 -> 50 [size =\"32038912\"]\n  14 [size=\"148008960\", alpha=\"0.10\", expect_size=\"44402688\"] \n  14 -> 40 [size =\"44402688\"]\n  14 -> 44 [size =\"44402688\"]\n  14 -> 45 [size =\"44402688\"]\n  14 -> 50 [size =\"44402688\"]\n  15 [size=\"139731627\", alpha=\"0.03\", expect_size=\"41919488\"] \n  15 -> 40 [size =\"41919488\"]\n  15 -> 43 [size =\"41919488\"]\n  16 [size=\"155566080\", alpha=\"0.18\", expect_size=\"46669824\"] \n  16 -> 46 [size =\"46669824\"]\n  16 -> 48 [size =\"46669824\"]\n  16 -> 50 [size =\"46669824\"]\n  17 [size=\"129501867\", alpha=\"0.02\", expect_size=\"38850560\"] \n  17 -> 41 [size =\"38850560\"]\n  17 -> 43 [size =\"38850560\"]\n  17 -> 46 [size =\"38850560\"]\n  18 [size=\"124125867\", alpha=\"0.05\", expect_size=\"37237760\"] \n  18 -> 40 [size =\"37237760\"]\n  18 -> 43 [size =\"37237760\"]\n  18 -> 44 [size =\"37237760\"]\n  18 -> 45 [size =\"37237760\"]\n  18 -> 46 [size =\"37237760\"]\n  18 -> 49 [size =\"37237760\"]\n  19 [size=\"56572587\", alpha=\"0.11\", expect_size=\"16971776\"] \n  19 -> 40 [size =\"16971776\"]\n  19 -> 41 [size =\"16971776\"]\n  19 -> 43 [size =\"16971776\"]\n  19 -> 46 [size =\"16971776\"]\n  19 -> 46 [size =\"16971776\"]\n  19 -> 48 [size =\"16971776\"]\n  20 [size=\"92183893\", alpha=\"0.03\", expect_size=\"27655168\"] \n  20 -> 43 [size =\"27655168\"]\n  20 -> 47 [size =\"27655168\"]\n  21 [size=\"101102933\", alpha=\"0.15\", expect_size=\"30330880\"] \n  21 -> 41 [size =\"30330880\"]\n  21 -> 44 [size =\"30330880\"]\n  21 -> 46 [size =\"30330880\"]\n  21 -> 49 [size =\"30330880\"]\n  22 [size=\"40133973\", alpha=\"0.04\", expect_size=\"12040192\"] \n  22 -> 40 [size =\"12040192\"]\n  22 -> 41 [size =\"12040192\"]\n  22 -> 45 [size =\"12040192\"]\n  22 -> 46 [size =\"12040192\"]\n  23 [size=\"163283627\", alpha=\"0.03\", expect_size=\"48985088\"] \n  23 -> 41 [size =\"48985088\"]\n  23 -> 42 [size =\"48985088\"]\n  23 -> 43 [size =\"48985088\"]\n  23 -> 45 [size =\"48985088\"]\n  23 -> 46 [size =\"48985088\"]\n  23 -> 47 [size =\"48985088\"]\n  23 -> 50 [size =\"48985088\"]\n  24 [size=\"159607467\", alpha=\"0.01\", expect_size=\"47882240\"] \n  24 -> 40 [size =\"47882240\"]\n  24 -> 41 [size =\"47882240\"]\n  24 -> 43 [size =\"47882240\"]\n  24 -> 45 [size =\"47882240\"]\n  24 -> 46 [size =\"47882240\"]\n  24 -> 49 [size =\"47882240\"]\n  24 -> 50 [size =\"47882240\"]\n  25 [size=\"80384000\", alpha=\"0.02\", expect_size=\"24115200\"] \n  25 -> 40 [size =\"24115200\"]\n  25 -> 42 [size =\"24115200\"]\n  25 -> 44 [size =\"24115200\"]\n  25 -> 50 [size =\"24115200\"]\n  26 [size=\"102912000\", alpha=\"0.05\", expect_size=\"30873600\"] \n  26 -> 40 [size =\"30873600\"]\n  26 -> 44 [size =\"30873600\"]\n  26 -> 46 [size =\"30873600\"]\n  26 -> 50 [size =\"30873600\"]\n  27 [size=\"85275307\", alpha=\"0.16\", expect_size=\"25582592\"] \n  27 -> 43 [size =\"25582592\"]\n  27 -> 45 [size =\"25582592\"]\n  27 -> 46 [size =\"25582592\"]\n  27 -> 49 [size =\"25582592\"]\n  27 -> 50 [size =\"25582592\"]\n  28 [size=\"99659093\", alpha=\"0.13\", expect_size=\"29897728\"] \n  28 -> 41 [size =\"29897728\"]\n  28 -> 43 [size =\"29897728\"]\n  28 -> 45 [size =\"29897728\"]\n  29 [size=\"138195627\", alpha=\"0.03\", expect_size=\"41458688\"] \n  29 -> 40 [size =\"41458688\"]\n  29 -> 41 [size =\"41458688\"]\n  29 -> 42 [size =\"41458688\"]\n  29 -> 43 [size =\"41458688\"]\n  29 -> 44 [size =\"41458688\"]\n  29 -> 46 [size =\"41458688\"]\n  30 [size=\"64703147\", alpha=\"0.03\", expect_size=\"19410944\"] \n  30 -> 40 [size =\"19410944\"]\n  30 -> 41 [size =\"19410944\"]\n  30 -> 44 [size =\"19410944\"]\n  30 -> 47 [size =\"19410944\"]\n  30 -> 48 [size =\"19410944\"]\n  31 [size=\"86347093\", alpha=\"0.18\", expect_size=\"25904128\"] \n  31 -> 40 [size =\"25904128\"]\n  31 -> 42 [size =\"25904128\"]\n  31 -> 45 [size =\"25904128\"]\n  31 -> 50 [size =\"25904128\"]\n  32 [size=\"46766080\", alpha=\"0.18\", expect_size=\"14029824\"] \n  32 -> 41 [size =\"14029824\"]\n  33 [size=\"79090347\", alpha=\"0.10\", expect_size=\"23727104\"] \n  33 -> 42 [size =\"23727104\"]\n  33 -> 43 [size =\"23727104\"]\n  34 [size=\"99949227\", alpha=\"0.18\", expect_size=\"29984768\"] \n  34 -> 41 [size =\"29984768\"]\n  34 -> 42 [size =\"29984768\"]\n  34 -> 44 [size =\"29984768\"]\n  34 -> 46 [size =\"29984768\"]\n  35 [size=\"105000960\", alpha=\"0.01\", expect_size=\"31500288\"] \n  35 -> 46 [size =\"31500288\"]\n  35 -> 49 [size =\"31500288\"]\n  35 -> 50 [size =\"31500288\"]\n  36 [size=\"123603627\", alpha=\"0.02\", expect_size=\"37081088\"] \n  36 -> 41 [size =\"37081088\"]\n  36 -> 43 [size =\"37081088\"]\n  36 -> 48 [size =\"37081088\"]\n  37 [size=\"159197867\", alpha=\"0.18\", expect_size=\"47759360\"] \n  37 -> 41 [size =\"47759360\"]\n  37 -> 43 [size =\"47759360\"]\n  37 -> 44 [size =\"47759360\"]\n  37 -> 48 [size =\"47759360\"]\n  37 -> 50 [size =\"47759360\"]\n  38 [size=\"126675627\", alpha=\"0.06\", expect_size=\"38002688\"] \n  38 -> 40 [size =\"38002688\"]\n  38 -> 41 [size =\"38002688\"]\n  38 -> 42 [size =\"38002688\"]\n  38 -> 43 [size =\"38002688\"]\n  38 -> 44 [size =\"38002688\"]\n  38 -> 50 [size =\"38002688\"]\n  39 [size=\"73557333\", alpha=\"0.00\", expect_size=\"22067200\"] \n  39 -> 41 [size =\"22067200\"]\n  39 -> 41 [size =\"22067200\"]\n  39 -> 42 [size =\"22067200\"]\n  39 -> 44 [size =\"22067200\"]\n  39 -> 46 [size =\"22067200\"]\n  39 -> 49 [size =\"22067200\"]\n  40 [size=\"99809280\", alpha=\"0.04\", expect_size=\"29942784\"] \n  41 [size=\"119876267\", alpha=\"0.18\", expect_size=\"35962880\"] \n  42 [size=\"107663360\", alpha=\"0.14\", expect_size=\"32299008\"] \n  43 [size=\"95433387\", alpha=\"0.10\", expect_size=\"28630016\"] \n  44 [size=\"172503040\", alpha=\"0.03\", expect_size=\"51750912\"] \n  45 [size=\"154839040\", alpha=\"0.05\", expect_size=\"46451712\"] \n  46 [size=\"164693333\", alpha=\"0.17\", expect_size=\"49408000\"] \n  47 [size=\"25589760\", alpha=\"0.18\", expect_size=\"7676928\"] \n  48 [size=\"164130133\", alpha=\"0.09\", expect_size=\"49239040\"] \n  49 [size=\"57815040\", alpha=\"0.16\", expect_size=\"17344512\"] \n  50 [size=\"60317013\", alpha=\"0.09\", expect_size=\"18095104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.853.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54497280\", alpha=\"0.18\", expect_size=\"16349184\"] \n  1 -> 19 [size =\"16349184\"]\n  1 -> 22 [size =\"16349184\"]\n  1 -> 24 [size =\"16349184\"]\n  1 -> 24 [size =\"16349184\"]\n  1 -> 25 [size =\"16349184\"]\n  1 -> 29 [size =\"16349184\"]\n  1 -> 30 [size =\"16349184\"]\n  1 -> 32 [size =\"16349184\"]\n  2 [size=\"88016213\", alpha=\"0.07\", expect_size=\"26404864\"] \n  2 -> 21 [size =\"26404864\"]\n  2 -> 22 [size =\"26404864\"]\n  2 -> 23 [size =\"26404864\"]\n  2 -> 25 [size =\"26404864\"]\n  2 -> 26 [size =\"26404864\"]\n  2 -> 27 [size =\"26404864\"]\n  2 -> 28 [size =\"26404864\"]\n  2 -> 29 [size =\"26404864\"]\n  2 -> 31 [size =\"26404864\"]\n  2 -> 32 [size =\"26404864\"]\n  3 [size=\"60832427\", alpha=\"0.16\", expect_size=\"18249728\"] \n  3 -> 16 [size =\"18249728\"]\n  3 -> 17 [size =\"18249728\"]\n  3 -> 22 [size =\"18249728\"]\n  3 -> 23 [size =\"18249728\"]\n  3 -> 25 [size =\"18249728\"]\n  3 -> 28 [size =\"18249728\"]\n  3 -> 29 [size =\"18249728\"]\n  3 -> 30 [size =\"18249728\"]\n  3 -> 31 [size =\"18249728\"]\n  3 -> 32 [size =\"18249728\"]\n  4 [size=\"103123627\", alpha=\"0.01\", expect_size=\"30937088\"] \n  4 -> 17 [size =\"30937088\"]\n  4 -> 18 [size =\"30937088\"]\n  4 -> 19 [size =\"30937088\"]\n  4 -> 20 [size =\"30937088\"]\n  4 -> 22 [size =\"30937088\"]\n  4 -> 25 [size =\"30937088\"]\n  4 -> 30 [size =\"30937088\"]\n  4 -> 31 [size =\"30937088\"]\n  4 -> 32 [size =\"30937088\"]\n  4 -> 32 [size =\"30937088\"]\n  4 -> 33 [size =\"30937088\"]\n  5 [size=\"89221120\", alpha=\"0.12\", expect_size=\"26766336\"] \n  5 -> 20 [size =\"26766336\"]\n  5 -> 21 [size =\"26766336\"]\n  5 -> 22 [size =\"26766336\"]\n  5 -> 24 [size =\"26766336\"]\n  5 -> 25 [size =\"26766336\"]\n  5 -> 26 [size =\"26766336\"]\n  5 -> 30 [size =\"26766336\"]\n  5 -> 32 [size =\"26766336\"]\n  5 -> 32 [size =\"26766336\"]\n  6 [size=\"119497387\", alpha=\"0.16\", expect_size=\"35849216\"] \n  6 -> 17 [size =\"35849216\"]\n  6 -> 22 [size =\"35849216\"]\n  6 -> 24 [size =\"35849216\"]\n  6 -> 25 [size =\"35849216\"]\n  6 -> 26 [size =\"35849216\"]\n  6 -> 27 [size =\"35849216\"]\n  6 -> 28 [size =\"35849216\"]\n  6 -> 32 [size =\"35849216\"]\n  7 [size=\"74117120\", alpha=\"0.12\", expect_size=\"22235136\"] \n  7 -> 17 [size =\"22235136\"]\n  7 -> 18 [size =\"22235136\"]\n  7 -> 22 [size =\"22235136\"]\n  7 -> 23 [size =\"22235136\"]\n  7 -> 24 [size =\"22235136\"]\n  7 -> 26 [size =\"22235136\"]\n  7 -> 27 [size =\"22235136\"]\n  7 -> 28 [size =\"22235136\"]\n  7 -> 30 [size =\"22235136\"]\n  7 -> 31 [size =\"22235136\"]\n  7 -> 32 [size =\"22235136\"]\n  8 [size=\"19886080\", alpha=\"0.13\", expect_size=\"5965824\"] \n  8 -> 22 [size =\"5965824\"]\n  8 -> 24 [size =\"5965824\"]\n  8 -> 25 [size =\"5965824\"]\n  8 -> 26 [size =\"5965824\"]\n  8 -> 29 [size =\"5965824\"]\n  8 -> 32 [size =\"5965824\"]\n  9 [size=\"158201173\", alpha=\"0.16\", expect_size=\"47460352\"] \n  9 -> 20 [size =\"47460352\"]\n  9 -> 22 [size =\"47460352\"]\n  9 -> 25 [size =\"47460352\"]\n  9 -> 26 [size =\"47460352\"]\n  9 -> 28 [size =\"47460352\"]\n  9 -> 29 [size =\"47460352\"]\n  9 -> 32 [size =\"47460352\"]\n  10 [size=\"86381227\", alpha=\"0.18\", expect_size=\"25914368\"] \n  10 -> 19 [size =\"25914368\"]\n  10 -> 21 [size =\"25914368\"]\n  10 -> 22 [size =\"25914368\"]\n  10 -> 23 [size =\"25914368\"]\n  10 -> 24 [size =\"25914368\"]\n  10 -> 25 [size =\"25914368\"]\n  10 -> 26 [size =\"25914368\"]\n  10 -> 27 [size =\"25914368\"]\n  10 -> 29 [size =\"25914368\"]\n  10 -> 30 [size =\"25914368\"]\n  10 -> 31 [size =\"25914368\"]\n  10 -> 32 [size =\"25914368\"]\n  11 [size=\"37840213\", alpha=\"0.14\", expect_size=\"11352064\"] \n  11 -> 21 [size =\"11352064\"]\n  11 -> 25 [size =\"11352064\"]\n  11 -> 26 [size =\"11352064\"]\n  11 -> 28 [size =\"11352064\"]\n  11 -> 29 [size =\"11352064\"]\n  11 -> 30 [size =\"11352064\"]\n  11 -> 31 [size =\"11352064\"]\n  11 -> 33 [size =\"11352064\"]\n  12 [size=\"20107947\", alpha=\"0.16\", expect_size=\"6032384\"] \n  12 -> 19 [size =\"6032384\"]\n  12 -> 21 [size =\"6032384\"]\n  12 -> 24 [size =\"6032384\"]\n  12 -> 25 [size =\"6032384\"]\n  12 -> 26 [size =\"6032384\"]\n  12 -> 29 [size =\"6032384\"]\n  12 -> 30 [size =\"6032384\"]\n  12 -> 31 [size =\"6032384\"]\n  13 [size=\"76175360\", alpha=\"0.11\", expect_size=\"22852608\"] \n  13 -> 18 [size =\"22852608\"]\n  13 -> 19 [size =\"22852608\"]\n  13 -> 20 [size =\"22852608\"]\n  13 -> 21 [size =\"22852608\"]\n  13 -> 22 [size =\"22852608\"]\n  13 -> 25 [size =\"22852608\"]\n  13 -> 26 [size =\"22852608\"]\n  13 -> 27 [size =\"22852608\"]\n  13 -> 31 [size =\"22852608\"]\n  14 [size=\"46987947\", alpha=\"0.05\", expect_size=\"14096384\"] \n  14 -> 17 [size =\"14096384\"]\n  14 -> 20 [size =\"14096384\"]\n  14 -> 22 [size =\"14096384\"]\n  14 -> 23 [size =\"14096384\"]\n  14 -> 24 [size =\"14096384\"]\n  14 -> 27 [size =\"14096384\"]\n  14 -> 29 [size =\"14096384\"]\n  14 -> 30 [size =\"14096384\"]\n  14 -> 31 [size =\"14096384\"]\n  15 [size=\"55913813\", alpha=\"0.05\", expect_size=\"16774144\"] \n  15 -> 20 [size =\"16774144\"]\n  15 -> 22 [size =\"16774144\"]\n  15 -> 23 [size =\"16774144\"]\n  15 -> 24 [size =\"16774144\"]\n  15 -> 25 [size =\"16774144\"]\n  15 -> 26 [size =\"16774144\"]\n  15 -> 30 [size =\"16774144\"]\n  15 -> 31 [size =\"16774144\"]\n  15 -> 32 [size =\"16774144\"]\n  16 [size=\"153412267\", alpha=\"0.07\", expect_size=\"46023680\"] \n  16 -> 36 [size =\"46023680\"]\n  16 -> 39 [size =\"46023680\"]\n  16 -> 40 [size =\"46023680\"]\n  16 -> 42 [size =\"46023680\"]\n  16 -> 42 [size =\"46023680\"]\n  17 [size=\"121750187\", alpha=\"0.18\", expect_size=\"36525056\"] \n  17 -> 34 [size =\"36525056\"]\n  17 -> 36 [size =\"36525056\"]\n  17 -> 38 [size =\"36525056\"]\n  17 -> 39 [size =\"36525056\"]\n  17 -> 40 [size =\"36525056\"]\n  17 -> 42 [size =\"36525056\"]\n  18 [size=\"58340693\", alpha=\"0.09\", expect_size=\"17502208\"] \n  18 -> 36 [size =\"17502208\"]\n  18 -> 36 [size =\"17502208\"]\n  18 -> 39 [size =\"17502208\"]\n  19 [size=\"162126507\", alpha=\"0.00\", expect_size=\"48637952\"] \n  19 -> 36 [size =\"48637952\"]\n  19 -> 38 [size =\"48637952\"]\n  19 -> 42 [size =\"48637952\"]\n  20 [size=\"132939093\", alpha=\"0.05\", expect_size=\"39881728\"] \n  20 -> 39 [size =\"39881728\"]\n  20 -> 41 [size =\"39881728\"]\n  20 -> 42 [size =\"39881728\"]\n  21 [size=\"120579413\", alpha=\"0.16\", expect_size=\"36173824\"] \n  21 -> 39 [size =\"36173824\"]\n  21 -> 41 [size =\"36173824\"]\n  22 [size=\"74100053\", alpha=\"0.15\", expect_size=\"22230016\"] \n  22 -> 35 [size =\"22230016\"]\n  22 -> 36 [size =\"22230016\"]\n  22 -> 39 [size =\"22230016\"]\n  22 -> 41 [size =\"22230016\"]\n  23 [size=\"39437653\", alpha=\"0.19\", expect_size=\"11831296\"] \n  23 -> 35 [size =\"11831296\"]\n  23 -> 36 [size =\"11831296\"]\n  23 -> 38 [size =\"11831296\"]\n  23 -> 39 [size =\"11831296\"]\n  23 -> 41 [size =\"11831296\"]\n  23 -> 42 [size =\"11831296\"]\n  24 [size=\"128948907\", alpha=\"0.15\", expect_size=\"38684672\"] \n  24 -> 35 [size =\"38684672\"]\n  24 -> 36 [size =\"38684672\"]\n  24 -> 37 [size =\"38684672\"]\n  24 -> 38 [size =\"38684672\"]\n  24 -> 41 [size =\"38684672\"]\n  24 -> 42 [size =\"38684672\"]\n  25 [size=\"165297493\", alpha=\"0.19\", expect_size=\"49589248\"] \n  25 -> 34 [size =\"49589248\"]\n  25 -> 36 [size =\"49589248\"]\n  25 -> 38 [size =\"49589248\"]\n  25 -> 38 [size =\"49589248\"]\n  25 -> 41 [size =\"49589248\"]\n  26 [size=\"50848427\", alpha=\"0.17\", expect_size=\"15254528\"] \n  26 -> 34 [size =\"15254528\"]\n  26 -> 36 [size =\"15254528\"]\n  26 -> 38 [size =\"15254528\"]\n  26 -> 39 [size =\"15254528\"]\n  26 -> 40 [size =\"15254528\"]\n  26 -> 41 [size =\"15254528\"]\n  26 -> 42 [size =\"15254528\"]\n  27 [size=\"108305067\", alpha=\"0.01\", expect_size=\"32491520\"] \n  27 -> 35 [size =\"32491520\"]\n  27 -> 36 [size =\"32491520\"]\n  27 -> 39 [size =\"32491520\"]\n  27 -> 41 [size =\"32491520\"]\n  27 -> 42 [size =\"32491520\"]\n  28 [size=\"92129280\", alpha=\"0.06\", expect_size=\"27638784\"] \n  28 -> 36 [size =\"27638784\"]\n  28 -> 36 [size =\"27638784\"]\n  28 -> 38 [size =\"27638784\"]\n  28 -> 39 [size =\"27638784\"]\n  28 -> 41 [size =\"27638784\"]\n  29 [size=\"160965973\", alpha=\"0.09\", expect_size=\"48289792\"] \n  29 -> 34 [size =\"48289792\"]\n  29 -> 35 [size =\"48289792\"]\n  29 -> 36 [size =\"48289792\"]\n  29 -> 39 [size =\"48289792\"]\n  29 -> 41 [size =\"48289792\"]\n  30 [size=\"161628160\", alpha=\"0.01\", expect_size=\"48488448\"] \n  30 -> 34 [size =\"48488448\"]\n  30 -> 35 [size =\"48488448\"]\n  30 -> 38 [size =\"48488448\"]\n  30 -> 39 [size =\"48488448\"]\n  30 -> 41 [size =\"48488448\"]\n  31 [size=\"47117653\", alpha=\"0.15\", expect_size=\"14135296\"] \n  31 -> 35 [size =\"14135296\"]\n  31 -> 38 [size =\"14135296\"]\n  31 -> 39 [size =\"14135296\"]\n  31 -> 39 [size =\"14135296\"]\n  31 -> 41 [size =\"14135296\"]\n  32 [size=\"169021440\", alpha=\"0.10\", expect_size=\"50706432\"] \n  32 -> 37 [size =\"50706432\"]\n  32 -> 38 [size =\"50706432\"]\n  32 -> 39 [size =\"50706432\"]\n  32 -> 41 [size =\"50706432\"]\n  33 [size=\"126027093\", alpha=\"0.12\", expect_size=\"37808128\"] \n  33 -> 39 [size =\"37808128\"]\n  33 -> 40 [size =\"37808128\"]\n  33 -> 41 [size =\"37808128\"]\n  33 -> 41 [size =\"37808128\"]\n  33 -> 42 [size =\"37808128\"]\n  34 [size=\"118780587\", alpha=\"0.18\", expect_size=\"35634176\"] \n  34 -> 43 [size =\"35634176\"]\n  34 -> 47 [size =\"35634176\"]\n  34 -> 49 [size =\"35634176\"]\n  35 [size=\"75639467\", alpha=\"0.09\", expect_size=\"22691840\"] \n  35 -> 45 [size =\"22691840\"]\n  35 -> 47 [size =\"22691840\"]\n  36 [size=\"68355413\", alpha=\"0.17\", expect_size=\"20506624\"] \n  36 -> 45 [size =\"20506624\"]\n  36 -> 46 [size =\"20506624\"]\n  36 -> 47 [size =\"20506624\"]\n  36 -> 48 [size =\"20506624\"]\n  37 [size=\"41659733\", alpha=\"0.18\", expect_size=\"12497920\"] \n  37 -> 44 [size =\"12497920\"]\n  37 -> 45 [size =\"12497920\"]\n  37 -> 46 [size =\"12497920\"]\n  37 -> 47 [size =\"12497920\"]\n  38 [size=\"52196693\", alpha=\"0.04\", expect_size=\"15659008\"] \n  38 -> 46 [size =\"15659008\"]\n  38 -> 47 [size =\"15659008\"]\n  38 -> 49 [size =\"15659008\"]\n  39 [size=\"102379520\", alpha=\"0.09\", expect_size=\"30713856\"] \n  39 -> 44 [size =\"30713856\"]\n  40 [size=\"18360320\", alpha=\"0.09\", expect_size=\"5508096\"] \n  40 -> 45 [size =\"5508096\"]\n  40 -> 50 [size =\"5508096\"]\n  41 [size=\"26337280\", alpha=\"0.01\", expect_size=\"7901184\"] \n  41 -> 46 [size =\"7901184\"]\n  41 -> 47 [size =\"7901184\"]\n  41 -> 48 [size =\"7901184\"]\n  41 -> 49 [size =\"7901184\"]\n  41 -> 50 [size =\"7901184\"]\n  42 [size=\"146674347\", alpha=\"0.01\", expect_size=\"44002304\"] \n  42 -> 46 [size =\"44002304\"]\n  42 -> 47 [size =\"44002304\"]\n  42 -> 48 [size =\"44002304\"]\n  42 -> 50 [size =\"44002304\"]\n  43 [size=\"67430400\", alpha=\"0.04\", expect_size=\"20229120\"] \n  44 [size=\"161877333\", alpha=\"0.01\", expect_size=\"48563200\"] \n  45 [size=\"144960853\", alpha=\"0.16\", expect_size=\"43488256\"] \n  46 [size=\"55115093\", alpha=\"0.16\", expect_size=\"16534528\"] \n  47 [size=\"28282880\", alpha=\"0.08\", expect_size=\"8484864\"] \n  48 [size=\"168731307\", alpha=\"0.09\", expect_size=\"50619392\"] \n  49 [size=\"45475840\", alpha=\"0.08\", expect_size=\"13642752\"] \n  50 [size=\"117739520\", alpha=\"0.05\", expect_size=\"35321856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.854.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19435520\", alpha=\"0.17\", expect_size=\"9717760\"] \n  1 -> 2 [size =\"9717760\"]\n  2 [size=\"44482560\", alpha=\"0.18\", expect_size=\"22241280\"] \n  2 -> 3 [size =\"22241280\"]\n  3 [size=\"42018816\", alpha=\"0.09\", expect_size=\"21009408\"] \n  3 -> 4 [size =\"21009408\"]\n  4 [size=\"49577984\", alpha=\"0.20\", expect_size=\"24788992\"] \n  4 -> 5 [size =\"24788992\"]\n  5 [size=\"81733632\", alpha=\"0.05\", expect_size=\"40866816\"] \n  5 -> 6 [size =\"40866816\"]\n  6 [size=\"50880512\", alpha=\"0.05\", expect_size=\"25440256\"] \n  6 -> 7 [size =\"25440256\"]\n  7 [size=\"30435328\", alpha=\"0.19\", expect_size=\"15217664\"] \n  7 -> 8 [size =\"15217664\"]\n  8 [size=\"12546048\", alpha=\"0.05\", expect_size=\"6273024\"] \n  8 -> 9 [size =\"6273024\"]\n  9 [size=\"53051392\", alpha=\"0.13\", expect_size=\"26525696\"] \n  9 -> 10 [size =\"26525696\"]\n  10 [size=\"91500544\", alpha=\"0.14\", expect_size=\"45750272\"] \n  10 -> 11 [size =\"45750272\"]\n  11 [size=\"83621888\", alpha=\"0.19\", expect_size=\"41810944\"] \n  11 -> 12 [size =\"41810944\"]\n  12 [size=\"67315712\", alpha=\"0.09\", expect_size=\"33657856\"] \n  12 -> 13 [size =\"33657856\"]\n  13 [size=\"56709120\", alpha=\"0.19\", expect_size=\"28354560\"] \n  13 -> 14 [size =\"28354560\"]\n  14 [size=\"98576384\", alpha=\"0.12\", expect_size=\"49288192\"] \n  14 -> 15 [size =\"49288192\"]\n  15 [size=\"98226176\", alpha=\"0.00\", expect_size=\"49113088\"] \n  15 -> 16 [size =\"49113088\"]\n  16 [size=\"28598272\", alpha=\"0.15\", expect_size=\"14299136\"] \n  16 -> 17 [size =\"14299136\"]\n  17 [size=\"52553728\", alpha=\"0.17\", expect_size=\"26276864\"] \n  17 -> 18 [size =\"26276864\"]\n  18 [size=\"46209024\", alpha=\"0.02\", expect_size=\"23104512\"] \n  18 -> 19 [size =\"23104512\"]\n  19 [size=\"67549184\", alpha=\"0.13\", expect_size=\"33774592\"] \n  19 -> 20 [size =\"33774592\"]\n  20 [size=\"36014080\", alpha=\"0.06\", expect_size=\"18007040\"] \n  20 -> 21 [size =\"18007040\"]\n  21 [size=\"99862528\", alpha=\"0.01\", expect_size=\"49931264\"] \n  21 -> 22 [size =\"49931264\"]\n  22 [size=\"92882944\", alpha=\"0.04\", expect_size=\"46441472\"] \n  22 -> 23 [size =\"46441472\"]\n  23 [size=\"41033728\", alpha=\"0.13\", expect_size=\"20516864\"] \n  23 -> 24 [size =\"20516864\"]\n  24 [size=\"34985984\", alpha=\"0.11\", expect_size=\"17492992\"] \n  24 -> 25 [size =\"17492992\"]\n  25 [size=\"93124608\", alpha=\"0.03\", expect_size=\"46562304\"] \n  25 -> 26 [size =\"46562304\"]\n  26 [size=\"94810112\", alpha=\"0.05\", expect_size=\"47405056\"] \n  26 -> 27 [size =\"47405056\"]\n  27 [size=\"70688768\", alpha=\"0.10\", expect_size=\"35344384\"] \n  27 -> 28 [size =\"35344384\"]\n  28 [size=\"54990848\", alpha=\"0.16\", expect_size=\"27495424\"] \n  28 -> 29 [size =\"27495424\"]\n  29 [size=\"62515200\", alpha=\"0.11\", expect_size=\"31257600\"] \n  29 -> 30 [size =\"31257600\"]\n  30 [size=\"27596800\", alpha=\"0.03\", expect_size=\"13798400\"] \n  30 -> 31 [size =\"13798400\"]\n  31 [size=\"56223744\", alpha=\"0.10\", expect_size=\"28111872\"] \n  31 -> 32 [size =\"28111872\"]\n  32 [size=\"62973952\", alpha=\"0.10\", expect_size=\"31486976\"] \n  32 -> 33 [size =\"31486976\"]\n  33 [size=\"81842176\", alpha=\"0.19\", expect_size=\"40921088\"] \n  33 -> 34 [size =\"40921088\"]\n  34 [size=\"49995776\", alpha=\"0.07\", expect_size=\"24997888\"] \n  34 -> 35 [size =\"24997888\"]\n  35 [size=\"100896768\", alpha=\"0.14\", expect_size=\"50448384\"] \n  35 -> 36 [size =\"50448384\"]\n  36 [size=\"22677504\", alpha=\"0.05\", expect_size=\"11338752\"] \n  36 -> 37 [size =\"11338752\"]\n  37 [size=\"44482560\", alpha=\"0.04\", expect_size=\"22241280\"] \n  37 -> 38 [size =\"22241280\"]\n  38 [size=\"91885568\", alpha=\"0.11\", expect_size=\"45942784\"] \n  38 -> 39 [size =\"45942784\"]\n  39 [size=\"72581120\", alpha=\"0.10\", expect_size=\"36290560\"] \n  39 -> 40 [size =\"36290560\"]\n  40 [size=\"29130752\", alpha=\"0.15\", expect_size=\"14565376\"] \n  40 -> 41 [size =\"14565376\"]\n  41 [size=\"42555392\", alpha=\"0.18\", expect_size=\"21277696\"] \n  41 -> 42 [size =\"21277696\"]\n  42 [size=\"91617280\", alpha=\"0.19\", expect_size=\"45808640\"] \n  42 -> 43 [size =\"45808640\"]\n  43 [size=\"44406784\", alpha=\"0.06\", expect_size=\"22203392\"] \n  43 -> 44 [size =\"22203392\"]\n  44 [size=\"41517056\", alpha=\"0.19\", expect_size=\"20758528\"] \n  44 -> 45 [size =\"20758528\"]\n  45 [size=\"76668928\", alpha=\"0.09\", expect_size=\"38334464\"] \n  45 -> 46 [size =\"38334464\"]\n  46 [size=\"48859136\", alpha=\"0.17\", expect_size=\"24429568\"] \n  46 -> 47 [size =\"24429568\"]\n  47 [size=\"70576128\", alpha=\"0.18\", expect_size=\"35288064\"] \n  47 -> 48 [size =\"35288064\"]\n  48 [size=\"89518080\", alpha=\"0.08\", expect_size=\"44759040\"] \n  48 -> 49 [size =\"44759040\"]\n  49 [size=\"47034368\", alpha=\"0.09\", expect_size=\"23517184\"] \n  49 -> 50 [size =\"23517184\"]\n  50 [size=\"94562304\", alpha=\"0.14\", expect_size=\"47281152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.855.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69150720\", alpha=\"0.07\", expect_size=\"27660288\"] \n  1 -> 17 [size =\"27660288\"]\n  1 -> 21 [size =\"27660288\"]\n  1 -> 22 [size =\"27660288\"]\n  1 -> 26 [size =\"27660288\"]\n  1 -> 29 [size =\"27660288\"]\n  1 -> 30 [size =\"27660288\"]\n  1 -> 32 [size =\"27660288\"]\n  2 [size=\"28771840\", alpha=\"0.14\", expect_size=\"11508736\"] \n  2 -> 17 [size =\"11508736\"]\n  2 -> 18 [size =\"11508736\"]\n  2 -> 23 [size =\"11508736\"]\n  2 -> 25 [size =\"11508736\"]\n  2 -> 28 [size =\"11508736\"]\n  2 -> 29 [size =\"11508736\"]\n  2 -> 30 [size =\"11508736\"]\n  2 -> 32 [size =\"11508736\"]\n  3 [size=\"109657600\", alpha=\"0.19\", expect_size=\"43863040\"] \n  3 -> 18 [size =\"43863040\"]\n  3 -> 30 [size =\"43863040\"]\n  3 -> 31 [size =\"43863040\"]\n  4 [size=\"102461440\", alpha=\"0.08\", expect_size=\"40984576\"] \n  4 -> 17 [size =\"40984576\"]\n  4 -> 22 [size =\"40984576\"]\n  4 -> 26 [size =\"40984576\"]\n  4 -> 28 [size =\"40984576\"]\n  5 [size=\"35461120\", alpha=\"0.18\", expect_size=\"14184448\"] \n  5 -> 22 [size =\"14184448\"]\n  5 -> 24 [size =\"14184448\"]\n  5 -> 26 [size =\"14184448\"]\n  5 -> 28 [size =\"14184448\"]\n  5 -> 29 [size =\"14184448\"]\n  5 -> 30 [size =\"14184448\"]\n  6 [size=\"107975680\", alpha=\"0.11\", expect_size=\"43190272\"] \n  6 -> 19 [size =\"43190272\"]\n  6 -> 20 [size =\"43190272\"]\n  6 -> 22 [size =\"43190272\"]\n  6 -> 24 [size =\"43190272\"]\n  6 -> 25 [size =\"43190272\"]\n  6 -> 29 [size =\"43190272\"]\n  6 -> 32 [size =\"43190272\"]\n  7 [size=\"93455360\", alpha=\"0.11\", expect_size=\"37382144\"] \n  7 -> 19 [size =\"37382144\"]\n  7 -> 23 [size =\"37382144\"]\n  7 -> 27 [size =\"37382144\"]\n  7 -> 30 [size =\"37382144\"]\n  7 -> 32 [size =\"37382144\"]\n  8 [size=\"65502720\", alpha=\"0.19\", expect_size=\"26201088\"] \n  8 -> 17 [size =\"26201088\"]\n  8 -> 22 [size =\"26201088\"]\n  8 -> 25 [size =\"26201088\"]\n  8 -> 29 [size =\"26201088\"]\n  9 [size=\"45969920\", alpha=\"0.06\", expect_size=\"18387968\"] \n  9 -> 19 [size =\"18387968\"]\n  9 -> 22 [size =\"18387968\"]\n  9 -> 24 [size =\"18387968\"]\n  9 -> 30 [size =\"18387968\"]\n  10 [size=\"43540480\", alpha=\"0.02\", expect_size=\"17416192\"] \n  10 -> 22 [size =\"17416192\"]\n  10 -> 27 [size =\"17416192\"]\n  10 -> 28 [size =\"17416192\"]\n  10 -> 31 [size =\"17416192\"]\n  11 [size=\"99550720\", alpha=\"0.06\", expect_size=\"39820288\"] \n  11 -> 27 [size =\"39820288\"]\n  11 -> 29 [size =\"39820288\"]\n  12 [size=\"21096960\", alpha=\"0.02\", expect_size=\"8438784\"] \n  12 -> 18 [size =\"8438784\"]\n  12 -> 21 [size =\"8438784\"]\n  12 -> 22 [size =\"8438784\"]\n  12 -> 26 [size =\"8438784\"]\n  12 -> 32 [size =\"8438784\"]\n  13 [size=\"103618560\", alpha=\"0.11\", expect_size=\"41447424\"] \n  13 -> 26 [size =\"41447424\"]\n  13 -> 27 [size =\"41447424\"]\n  13 -> 31 [size =\"41447424\"]\n  14 [size=\"94771200\", alpha=\"0.03\", expect_size=\"37908480\"] \n  14 -> 17 [size =\"37908480\"]\n  14 -> 25 [size =\"37908480\"]\n  14 -> 26 [size =\"37908480\"]\n  14 -> 28 [size =\"37908480\"]\n  14 -> 30 [size =\"37908480\"]\n  15 [size=\"24202240\", alpha=\"0.06\", expect_size=\"9680896\"] \n  15 -> 17 [size =\"9680896\"]\n  15 -> 28 [size =\"9680896\"]\n  15 -> 29 [size =\"9680896\"]\n  15 -> 31 [size =\"9680896\"]\n  16 [size=\"130462720\", alpha=\"0.13\", expect_size=\"52185088\"] \n  16 -> 17 [size =\"52185088\"]\n  16 -> 18 [size =\"52185088\"]\n  16 -> 19 [size =\"52185088\"]\n  16 -> 26 [size =\"52185088\"]\n  16 -> 29 [size =\"52185088\"]\n  17 [size=\"74488320\", alpha=\"0.14\", expect_size=\"29795328\"] \n  17 -> 36 [size =\"29795328\"]\n  17 -> 41 [size =\"29795328\"]\n  17 -> 45 [size =\"29795328\"]\n  18 [size=\"18728960\", alpha=\"0.12\", expect_size=\"7491584\"] \n  18 -> 36 [size =\"7491584\"]\n  18 -> 37 [size =\"7491584\"]\n  18 -> 40 [size =\"7491584\"]\n  18 -> 43 [size =\"7491584\"]\n  18 -> 45 [size =\"7491584\"]\n  19 [size=\"13598720\", alpha=\"0.19\", expect_size=\"5439488\"] \n  19 -> 35 [size =\"5439488\"]\n  19 -> 41 [size =\"5439488\"]\n  19 -> 43 [size =\"5439488\"]\n  19 -> 46 [size =\"5439488\"]\n  20 [size=\"48537600\", alpha=\"0.03\", expect_size=\"19415040\"] \n  20 -> 38 [size =\"19415040\"]\n  20 -> 39 [size =\"19415040\"]\n  20 -> 40 [size =\"19415040\"]\n  20 -> 41 [size =\"19415040\"]\n  20 -> 43 [size =\"19415040\"]\n  21 [size=\"62374400\", alpha=\"0.16\", expect_size=\"24949760\"] \n  21 -> 39 [size =\"24949760\"]\n  21 -> 41 [size =\"24949760\"]\n  21 -> 42 [size =\"24949760\"]\n  21 -> 46 [size =\"24949760\"]\n  22 [size=\"96332800\", alpha=\"0.12\", expect_size=\"38533120\"] \n  22 -> 42 [size =\"38533120\"]\n  22 -> 46 [size =\"38533120\"]\n  23 [size=\"106956800\", alpha=\"0.04\", expect_size=\"42782720\"] \n  23 -> 37 [size =\"42782720\"]\n  23 -> 39 [size =\"42782720\"]\n  24 [size=\"51891200\", alpha=\"0.12\", expect_size=\"20756480\"] \n  24 -> 36 [size =\"20756480\"]\n  24 -> 42 [size =\"20756480\"]\n  25 [size=\"71815680\", alpha=\"0.03\", expect_size=\"28726272\"] \n  25 -> 40 [size =\"28726272\"]\n  25 -> 43 [size =\"28726272\"]\n  25 -> 46 [size =\"28726272\"]\n  26 [size=\"104363520\", alpha=\"0.11\", expect_size=\"41745408\"] \n  26 -> 36 [size =\"41745408\"]\n  26 -> 37 [size =\"41745408\"]\n  26 -> 40 [size =\"41745408\"]\n  26 -> 41 [size =\"41745408\"]\n  26 -> 44 [size =\"41745408\"]\n  26 -> 46 [size =\"41745408\"]\n  27 [size=\"65269760\", alpha=\"0.12\", expect_size=\"26107904\"] \n  27 -> 34 [size =\"26107904\"]\n  27 -> 36 [size =\"26107904\"]\n  27 -> 45 [size =\"26107904\"]\n  27 -> 46 [size =\"26107904\"]\n  28 [size=\"29550080\", alpha=\"0.02\", expect_size=\"11820032\"] \n  28 -> 35 [size =\"11820032\"]\n  28 -> 36 [size =\"11820032\"]\n  28 -> 38 [size =\"11820032\"]\n  28 -> 40 [size =\"11820032\"]\n  28 -> 45 [size =\"11820032\"]\n  28 -> 46 [size =\"11820032\"]\n  29 [size=\"99297280\", alpha=\"0.17\", expect_size=\"39718912\"] \n  29 -> 38 [size =\"39718912\"]\n  29 -> 40 [size =\"39718912\"]\n  29 -> 41 [size =\"39718912\"]\n  29 -> 42 [size =\"39718912\"]\n  29 -> 44 [size =\"39718912\"]\n  29 -> 45 [size =\"39718912\"]\n  29 -> 47 [size =\"39718912\"]\n  30 [size=\"91077120\", alpha=\"0.18\", expect_size=\"36430848\"] \n  30 -> 36 [size =\"36430848\"]\n  30 -> 41 [size =\"36430848\"]\n  30 -> 44 [size =\"36430848\"]\n  31 [size=\"105925120\", alpha=\"0.14\", expect_size=\"42370048\"] \n  31 -> 33 [size =\"42370048\"]\n  31 -> 35 [size =\"42370048\"]\n  31 -> 40 [size =\"42370048\"]\n  31 -> 45 [size =\"42370048\"]\n  32 [size=\"81925120\", alpha=\"0.10\", expect_size=\"32770048\"] \n  32 -> 39 [size =\"32770048\"]\n  32 -> 41 [size =\"32770048\"]\n  32 -> 45 [size =\"32770048\"]\n  32 -> 45 [size =\"32770048\"]\n  32 -> 46 [size =\"32770048\"]\n  33 [size=\"34744320\", alpha=\"0.02\", expect_size=\"13897728\"] \n  33 -> 49 [size =\"13897728\"]\n  34 [size=\"60930560\", alpha=\"0.08\", expect_size=\"24372224\"] \n  34 -> 49 [size =\"24372224\"]\n  35 [size=\"13913600\", alpha=\"0.16\", expect_size=\"5565440\"] \n  35 -> 49 [size =\"5565440\"]\n  35 -> 50 [size =\"5565440\"]\n  36 [size=\"34012160\", alpha=\"0.04\", expect_size=\"13604864\"] \n  36 -> 50 [size =\"13604864\"]\n  37 [size=\"98129920\", alpha=\"0.02\", expect_size=\"39251968\"] \n  37 -> 48 [size =\"39251968\"]\n  38 [size=\"50688000\", alpha=\"0.01\", expect_size=\"20275200\"] \n  38 -> 48 [size =\"20275200\"]\n  39 [size=\"62044160\", alpha=\"0.20\", expect_size=\"24817664\"] \n  39 -> 48 [size =\"24817664\"]\n  40 [size=\"47104000\", alpha=\"0.05\", expect_size=\"18841600\"] \n  40 -> 48 [size =\"18841600\"]\n  41 [size=\"36295680\", alpha=\"0.19\", expect_size=\"14518272\"] \n  41 -> 49 [size =\"14518272\"]\n  42 [size=\"116067840\", alpha=\"0.06\", expect_size=\"46427136\"] \n  42 -> 50 [size =\"46427136\"]\n  43 [size=\"58478080\", alpha=\"0.10\", expect_size=\"23391232\"] \n  43 -> 48 [size =\"23391232\"]\n  44 [size=\"72007680\", alpha=\"0.20\", expect_size=\"28803072\"] \n  45 [size=\"120355840\", alpha=\"0.20\", expect_size=\"48142336\"] \n  46 [size=\"96655360\", alpha=\"0.15\", expect_size=\"38662144\"] \n  46 -> 48 [size =\"38662144\"]\n  47 [size=\"118261760\", alpha=\"0.20\", expect_size=\"47304704\"] \n  48 [size=\"128596480\", alpha=\"0.07\", expect_size=\"51438592\"] \n  49 [size=\"15319040\", alpha=\"0.09\", expect_size=\"6127616\"] \n  50 [size=\"14848000\", alpha=\"0.03\", expect_size=\"5939200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.856.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91794773\", alpha=\"0.01\", expect_size=\"27538432\"] \n  1 -> 2 [size =\"27538432\"]\n  2 [size=\"23166293\", alpha=\"0.10\", expect_size=\"6949888\"] \n  2 -> 3 [size =\"6949888\"]\n  3 [size=\"160884053\", alpha=\"0.07\", expect_size=\"48265216\"] \n  3 -> 4 [size =\"48265216\"]\n  4 [size=\"150128640\", alpha=\"0.17\", expect_size=\"45038592\"] \n  4 -> 5 [size =\"45038592\"]\n  5 [size=\"169321813\", alpha=\"0.05\", expect_size=\"50796544\"] \n  5 -> 6 [size =\"50796544\"]\n  6 [size=\"48264533\", alpha=\"0.06\", expect_size=\"14479360\"] \n  6 -> 7 [size =\"14479360\"]\n  7 [size=\"92211200\", alpha=\"0.04\", expect_size=\"27663360\"] \n  7 -> 8 [size =\"27663360\"]\n  8 [size=\"35423573\", alpha=\"0.08\", expect_size=\"10627072\"] \n  8 -> 9 [size =\"10627072\"]\n  9 [size=\"91347627\", alpha=\"0.13\", expect_size=\"27404288\"] \n  9 -> 10 [size =\"27404288\"]\n  10 [size=\"38440960\", alpha=\"0.12\", expect_size=\"11532288\"] \n  10 -> 11 [size =\"11532288\"]\n  11 [size=\"106943147\", alpha=\"0.00\", expect_size=\"32082944\"] \n  11 -> 12 [size =\"32082944\"]\n  12 [size=\"115022507\", alpha=\"0.14\", expect_size=\"34506752\"] \n  12 -> 13 [size =\"34506752\"]\n  13 [size=\"38949547\", alpha=\"0.13\", expect_size=\"11684864\"] \n  13 -> 14 [size =\"11684864\"]\n  14 [size=\"92136107\", alpha=\"0.01\", expect_size=\"27640832\"] \n  14 -> 15 [size =\"27640832\"]\n  15 [size=\"66290347\", alpha=\"0.10\", expect_size=\"19887104\"] \n  15 -> 16 [size =\"19887104\"]\n  16 [size=\"106144427\", alpha=\"0.09\", expect_size=\"31843328\"] \n  16 -> 17 [size =\"31843328\"]\n  17 [size=\"149531307\", alpha=\"0.11\", expect_size=\"44859392\"] \n  17 -> 18 [size =\"44859392\"]\n  18 [size=\"24081067\", alpha=\"0.13\", expect_size=\"7224320\"] \n  18 -> 19 [size =\"7224320\"]\n  19 [size=\"84616533\", alpha=\"0.11\", expect_size=\"25384960\"] \n  19 -> 20 [size =\"25384960\"]\n  20 [size=\"33177600\", alpha=\"0.06\", expect_size=\"9953280\"] \n  20 -> 21 [size =\"9953280\"]\n  21 [size=\"124470613\", alpha=\"0.11\", expect_size=\"37341184\"] \n  21 -> 22 [size =\"37341184\"]\n  22 [size=\"125385387\", alpha=\"0.17\", expect_size=\"37615616\"] \n  22 -> 23 [size =\"37615616\"]\n  23 [size=\"74796373\", alpha=\"0.00\", expect_size=\"22438912\"] \n  23 -> 24 [size =\"22438912\"]\n  24 [size=\"17547947\", alpha=\"0.01\", expect_size=\"5264384\"] \n  24 -> 25 [size =\"5264384\"]\n  25 [size=\"21630293\", alpha=\"0.01\", expect_size=\"6489088\"] \n  25 -> 26 [size =\"6489088\"]\n  26 [size=\"104028160\", alpha=\"0.05\", expect_size=\"31208448\"] \n  26 -> 27 [size =\"31208448\"]\n  27 [size=\"19797333\", alpha=\"0.18\", expect_size=\"5939200\"] \n  27 -> 28 [size =\"5939200\"]\n  28 [size=\"107973973\", alpha=\"0.14\", expect_size=\"32392192\"] \n  28 -> 29 [size =\"32392192\"]\n  29 [size=\"51022507\", alpha=\"0.19\", expect_size=\"15306752\"] \n  29 -> 30 [size =\"15306752\"]\n  30 [size=\"136471893\", alpha=\"0.07\", expect_size=\"40941568\"] \n  30 -> 31 [size =\"40941568\"]\n  31 [size=\"28398933\", alpha=\"0.06\", expect_size=\"8519680\"] \n  31 -> 32 [size =\"8519680\"]\n  32 [size=\"115691520\", alpha=\"0.18\", expect_size=\"34707456\"] \n  32 -> 33 [size =\"34707456\"]\n  33 [size=\"89470293\", alpha=\"0.12\", expect_size=\"26841088\"] \n  33 -> 34 [size =\"26841088\"]\n  34 [size=\"93139627\", alpha=\"0.16\", expect_size=\"27941888\"] \n  34 -> 35 [size =\"27941888\"]\n  35 [size=\"102072320\", alpha=\"0.05\", expect_size=\"30621696\"] \n  35 -> 36 [size =\"30621696\"]\n  36 [size=\"110824107\", alpha=\"0.07\", expect_size=\"33247232\"] \n  36 -> 37 [size =\"33247232\"]\n  37 [size=\"150190080\", alpha=\"0.05\", expect_size=\"45057024\"] \n  37 -> 38 [size =\"45057024\"]\n  38 [size=\"137618773\", alpha=\"0.04\", expect_size=\"41285632\"] \n  38 -> 39 [size =\"41285632\"]\n  39 [size=\"91054080\", alpha=\"0.11\", expect_size=\"27316224\"] \n  39 -> 40 [size =\"27316224\"]\n  40 [size=\"84377600\", alpha=\"0.00\", expect_size=\"25313280\"] \n  40 -> 41 [size =\"25313280\"]\n  41 [size=\"138547200\", alpha=\"0.03\", expect_size=\"41564160\"] \n  41 -> 42 [size =\"41564160\"]\n  42 [size=\"28467200\", alpha=\"0.00\", expect_size=\"8540160\"] \n  42 -> 43 [size =\"8540160\"]\n  43 [size=\"166253227\", alpha=\"0.04\", expect_size=\"49875968\"] \n  43 -> 44 [size =\"49875968\"]\n  44 [size=\"101522773\", alpha=\"0.08\", expect_size=\"30456832\"] \n  44 -> 45 [size =\"30456832\"]\n  45 [size=\"66225493\", alpha=\"0.13\", expect_size=\"19867648\"] \n  45 -> 46 [size =\"19867648\"]\n  46 [size=\"109172053\", alpha=\"0.08\", expect_size=\"32751616\"] \n  46 -> 47 [size =\"32751616\"]\n  47 [size=\"161751040\", alpha=\"0.04\", expect_size=\"48525312\"] \n  47 -> 48 [size =\"48525312\"]\n  48 [size=\"41441280\", alpha=\"0.11\", expect_size=\"12432384\"] \n  48 -> 49 [size =\"12432384\"]\n  49 [size=\"69423787\", alpha=\"0.03\", expect_size=\"20827136\"] \n  49 -> 50 [size =\"20827136\"]\n  50 [size=\"155555840\", alpha=\"0.10\", expect_size=\"46666752\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.857.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133109760\", alpha=\"0.15\", expect_size=\"39932928\"] \n  1 -> 2 [size =\"39932928\"]\n  2 [size=\"50773333\", alpha=\"0.14\", expect_size=\"15232000\"] \n  2 -> 3 [size =\"15232000\"]\n  3 [size=\"26101760\", alpha=\"0.09\", expect_size=\"7830528\"] \n  3 -> 4 [size =\"7830528\"]\n  4 [size=\"46202880\", alpha=\"0.04\", expect_size=\"13860864\"] \n  4 -> 5 [size =\"13860864\"]\n  5 [size=\"52128427\", alpha=\"0.09\", expect_size=\"15638528\"] \n  5 -> 6 [size =\"15638528\"]\n  6 [size=\"19032747\", alpha=\"0.06\", expect_size=\"5709824\"] \n  6 -> 7 [size =\"5709824\"]\n  7 [size=\"107898880\", alpha=\"0.03\", expect_size=\"32369664\"] \n  7 -> 8 [size =\"32369664\"]\n  8 [size=\"44871680\", alpha=\"0.12\", expect_size=\"13461504\"] \n  8 -> 9 [size =\"13461504\"]\n  9 [size=\"143213227\", alpha=\"0.03\", expect_size=\"42963968\"] \n  9 -> 10 [size =\"42963968\"]\n  10 [size=\"42690560\", alpha=\"0.17\", expect_size=\"12807168\"] \n  10 -> 11 [size =\"12807168\"]\n  11 [size=\"125989547\", alpha=\"0.14\", expect_size=\"37796864\"] \n  11 -> 12 [size =\"37796864\"]\n  12 [size=\"89292800\", alpha=\"0.12\", expect_size=\"26787840\"] \n  12 -> 13 [size =\"26787840\"]\n  13 [size=\"43124053\", alpha=\"0.03\", expect_size=\"12937216\"] \n  13 -> 14 [size =\"12937216\"]\n  14 [size=\"112049493\", alpha=\"0.17\", expect_size=\"33614848\"] \n  14 -> 15 [size =\"33614848\"]\n  15 [size=\"142032213\", alpha=\"0.02\", expect_size=\"42609664\"] \n  15 -> 16 [size =\"42609664\"]\n  16 [size=\"59146240\", alpha=\"0.12\", expect_size=\"17743872\"] \n  16 -> 17 [size =\"17743872\"]\n  17 [size=\"107441493\", alpha=\"0.05\", expect_size=\"32232448\"] \n  17 -> 18 [size =\"32232448\"]\n  18 [size=\"132956160\", alpha=\"0.16\", expect_size=\"39886848\"] \n  18 -> 19 [size =\"39886848\"]\n  19 [size=\"70703787\", alpha=\"0.05\", expect_size=\"21211136\"] \n  19 -> 20 [size =\"21211136\"]\n  20 [size=\"93211307\", alpha=\"0.10\", expect_size=\"27963392\"] \n  20 -> 21 [size =\"27963392\"]\n  21 [size=\"67925333\", alpha=\"0.10\", expect_size=\"20377600\"] \n  21 -> 22 [size =\"20377600\"]\n  22 [size=\"22108160\", alpha=\"0.13\", expect_size=\"6632448\"] \n  22 -> 23 [size =\"6632448\"]\n  23 [size=\"113298773\", alpha=\"0.19\", expect_size=\"33989632\"] \n  23 -> 24 [size =\"33989632\"]\n  24 [size=\"139933013\", alpha=\"0.07\", expect_size=\"41979904\"] \n  24 -> 25 [size =\"41979904\"]\n  25 [size=\"113926827\", alpha=\"0.00\", expect_size=\"34178048\"] \n  25 -> 26 [size =\"34178048\"]\n  26 [size=\"126460587\", alpha=\"0.14\", expect_size=\"37938176\"] \n  26 -> 27 [size =\"37938176\"]\n  27 [size=\"65082027\", alpha=\"0.18\", expect_size=\"19524608\"] \n  27 -> 28 [size =\"19524608\"]\n  28 [size=\"101348693\", alpha=\"0.07\", expect_size=\"30404608\"] \n  28 -> 29 [size =\"30404608\"]\n  29 [size=\"68331520\", alpha=\"0.11\", expect_size=\"20499456\"] \n  29 -> 30 [size =\"20499456\"]\n  30 [size=\"106513067\", alpha=\"0.18\", expect_size=\"31953920\"] \n  30 -> 31 [size =\"31953920\"]\n  31 [size=\"26722987\", alpha=\"0.20\", expect_size=\"8016896\"] \n  31 -> 32 [size =\"8016896\"]\n  32 [size=\"101891413\", alpha=\"0.10\", expect_size=\"30567424\"] \n  32 -> 33 [size =\"30567424\"]\n  33 [size=\"50735787\", alpha=\"0.04\", expect_size=\"15220736\"] \n  33 -> 34 [size =\"15220736\"]\n  34 [size=\"39174827\", alpha=\"0.09\", expect_size=\"11752448\"] \n  34 -> 35 [size =\"11752448\"]\n  35 [size=\"95938560\", alpha=\"0.11\", expect_size=\"28781568\"] \n  35 -> 36 [size =\"28781568\"]\n  36 [size=\"98392747\", alpha=\"0.18\", expect_size=\"29517824\"] \n  36 -> 37 [size =\"29517824\"]\n  37 [size=\"48093867\", alpha=\"0.16\", expect_size=\"14428160\"] \n  37 -> 38 [size =\"14428160\"]\n  38 [size=\"35471360\", alpha=\"0.09\", expect_size=\"10641408\"] \n  38 -> 39 [size =\"10641408\"]\n  39 [size=\"87917227\", alpha=\"0.09\", expect_size=\"26375168\"] \n  39 -> 40 [size =\"26375168\"]\n  40 [size=\"173885440\", alpha=\"0.18\", expect_size=\"52165632\"] \n  40 -> 41 [size =\"52165632\"]\n  41 [size=\"161303893\", alpha=\"0.14\", expect_size=\"48391168\"] \n  41 -> 42 [size =\"48391168\"]\n  42 [size=\"158689280\", alpha=\"0.10\", expect_size=\"47606784\"] \n  42 -> 43 [size =\"47606784\"]\n  43 [size=\"80571733\", alpha=\"0.19\", expect_size=\"24171520\"] \n  43 -> 44 [size =\"24171520\"]\n  44 [size=\"109885440\", alpha=\"0.03\", expect_size=\"32965632\"] \n  44 -> 45 [size =\"32965632\"]\n  45 [size=\"26637653\", alpha=\"0.19\", expect_size=\"7991296\"] \n  45 -> 46 [size =\"7991296\"]\n  46 [size=\"112667307\", alpha=\"0.09\", expect_size=\"33800192\"] \n  46 -> 47 [size =\"33800192\"]\n  47 [size=\"95074987\", alpha=\"0.06\", expect_size=\"28522496\"] \n  47 -> 48 [size =\"28522496\"]\n  48 [size=\"63825920\", alpha=\"0.13\", expect_size=\"19147776\"] \n  48 -> 49 [size =\"19147776\"]\n  49 [size=\"134403413\", alpha=\"0.06\", expect_size=\"40321024\"] \n  49 -> 50 [size =\"40321024\"]\n  50 [size=\"45465600\", alpha=\"0.11\", expect_size=\"13639680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.858.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29388800\", alpha=\"0.10\", expect_size=\"8816640\"] \n  1 -> 19 [size =\"8816640\"]\n  1 -> 22 [size =\"8816640\"]\n  1 -> 23 [size =\"8816640\"]\n  1 -> 24 [size =\"8816640\"]\n  1 -> 25 [size =\"8816640\"]\n  1 -> 26 [size =\"8816640\"]\n  1 -> 27 [size =\"8816640\"]\n  1 -> 28 [size =\"8816640\"]\n  1 -> 29 [size =\"8816640\"]\n  1 -> 30 [size =\"8816640\"]\n  1 -> 33 [size =\"8816640\"]\n  1 -> 35 [size =\"8816640\"]\n  2 [size=\"158832640\", alpha=\"0.14\", expect_size=\"47649792\"] \n  2 -> 18 [size =\"47649792\"]\n  2 -> 22 [size =\"47649792\"]\n  2 -> 23 [size =\"47649792\"]\n  2 -> 26 [size =\"47649792\"]\n  2 -> 27 [size =\"47649792\"]\n  2 -> 29 [size =\"47649792\"]\n  2 -> 30 [size =\"47649792\"]\n  2 -> 31 [size =\"47649792\"]\n  2 -> 35 [size =\"47649792\"]\n  3 [size=\"154354347\", alpha=\"0.17\", expect_size=\"46306304\"] \n  3 -> 17 [size =\"46306304\"]\n  3 -> 19 [size =\"46306304\"]\n  3 -> 21 [size =\"46306304\"]\n  3 -> 23 [size =\"46306304\"]\n  3 -> 26 [size =\"46306304\"]\n  3 -> 35 [size =\"46306304\"]\n  4 [size=\"105891840\", alpha=\"0.13\", expect_size=\"31767552\"] \n  4 -> 17 [size =\"31767552\"]\n  4 -> 18 [size =\"31767552\"]\n  4 -> 22 [size =\"31767552\"]\n  4 -> 24 [size =\"31767552\"]\n  4 -> 25 [size =\"31767552\"]\n  4 -> 26 [size =\"31767552\"]\n  4 -> 29 [size =\"31767552\"]\n  4 -> 31 [size =\"31767552\"]\n  4 -> 34 [size =\"31767552\"]\n  4 -> 35 [size =\"31767552\"]\n  5 [size=\"60276053\", alpha=\"0.11\", expect_size=\"18082816\"] \n  5 -> 18 [size =\"18082816\"]\n  5 -> 19 [size =\"18082816\"]\n  5 -> 22 [size =\"18082816\"]\n  5 -> 23 [size =\"18082816\"]\n  5 -> 24 [size =\"18082816\"]\n  5 -> 25 [size =\"18082816\"]\n  5 -> 26 [size =\"18082816\"]\n  5 -> 28 [size =\"18082816\"]\n  5 -> 30 [size =\"18082816\"]\n  5 -> 31 [size =\"18082816\"]\n  5 -> 32 [size =\"18082816\"]\n  5 -> 33 [size =\"18082816\"]\n  5 -> 34 [size =\"18082816\"]\n  6 [size=\"138123947\", alpha=\"0.17\", expect_size=\"41437184\"] \n  6 -> 18 [size =\"41437184\"]\n  6 -> 19 [size =\"41437184\"]\n  6 -> 24 [size =\"41437184\"]\n  6 -> 25 [size =\"41437184\"]\n  6 -> 26 [size =\"41437184\"]\n  6 -> 27 [size =\"41437184\"]\n  6 -> 31 [size =\"41437184\"]\n  6 -> 34 [size =\"41437184\"]\n  7 [size=\"78578347\", alpha=\"0.18\", expect_size=\"23573504\"] \n  7 -> 19 [size =\"23573504\"]\n  7 -> 23 [size =\"23573504\"]\n  7 -> 24 [size =\"23573504\"]\n  7 -> 25 [size =\"23573504\"]\n  7 -> 27 [size =\"23573504\"]\n  7 -> 27 [size =\"23573504\"]\n  7 -> 29 [size =\"23573504\"]\n  7 -> 31 [size =\"23573504\"]\n  7 -> 32 [size =\"23573504\"]\n  8 [size=\"144704853\", alpha=\"0.02\", expect_size=\"43411456\"] \n  8 -> 19 [size =\"43411456\"]\n  8 -> 24 [size =\"43411456\"]\n  8 -> 27 [size =\"43411456\"]\n  8 -> 29 [size =\"43411456\"]\n  8 -> 35 [size =\"43411456\"]\n  9 [size=\"67938987\", alpha=\"0.20\", expect_size=\"20381696\"] \n  9 -> 18 [size =\"20381696\"]\n  9 -> 22 [size =\"20381696\"]\n  9 -> 24 [size =\"20381696\"]\n  9 -> 28 [size =\"20381696\"]\n  9 -> 29 [size =\"20381696\"]\n  9 -> 30 [size =\"20381696\"]\n  10 [size=\"166618453\", alpha=\"0.02\", expect_size=\"49985536\"] \n  10 -> 18 [size =\"49985536\"]\n  10 -> 21 [size =\"49985536\"]\n  10 -> 22 [size =\"49985536\"]\n  10 -> 28 [size =\"49985536\"]\n  10 -> 31 [size =\"49985536\"]\n  10 -> 32 [size =\"49985536\"]\n  10 -> 35 [size =\"49985536\"]\n  11 [size=\"149763413\", alpha=\"0.02\", expect_size=\"44929024\"] \n  11 -> 17 [size =\"44929024\"]\n  11 -> 18 [size =\"44929024\"]\n  11 -> 19 [size =\"44929024\"]\n  11 -> 22 [size =\"44929024\"]\n  11 -> 26 [size =\"44929024\"]\n  11 -> 28 [size =\"44929024\"]\n  11 -> 29 [size =\"44929024\"]\n  11 -> 32 [size =\"44929024\"]\n  11 -> 35 [size =\"44929024\"]\n  12 [size=\"70816427\", alpha=\"0.15\", expect_size=\"21244928\"] \n  12 -> 17 [size =\"21244928\"]\n  12 -> 18 [size =\"21244928\"]\n  12 -> 22 [size =\"21244928\"]\n  12 -> 23 [size =\"21244928\"]\n  12 -> 25 [size =\"21244928\"]\n  12 -> 29 [size =\"21244928\"]\n  12 -> 32 [size =\"21244928\"]\n  13 [size=\"24282453\", alpha=\"0.13\", expect_size=\"7284736\"] \n  13 -> 18 [size =\"7284736\"]\n  13 -> 20 [size =\"7284736\"]\n  13 -> 21 [size =\"7284736\"]\n  13 -> 22 [size =\"7284736\"]\n  13 -> 25 [size =\"7284736\"]\n  13 -> 29 [size =\"7284736\"]\n  13 -> 31 [size =\"7284736\"]\n  13 -> 35 [size =\"7284736\"]\n  14 [size=\"154668373\", alpha=\"0.05\", expect_size=\"46400512\"] \n  14 -> 18 [size =\"46400512\"]\n  14 -> 19 [size =\"46400512\"]\n  14 -> 22 [size =\"46400512\"]\n  14 -> 24 [size =\"46400512\"]\n  14 -> 25 [size =\"46400512\"]\n  14 -> 27 [size =\"46400512\"]\n  14 -> 29 [size =\"46400512\"]\n  14 -> 31 [size =\"46400512\"]\n  14 -> 32 [size =\"46400512\"]\n  14 -> 35 [size =\"46400512\"]\n  15 [size=\"100427093\", alpha=\"0.08\", expect_size=\"30128128\"] \n  15 -> 18 [size =\"30128128\"]\n  15 -> 19 [size =\"30128128\"]\n  15 -> 21 [size =\"30128128\"]\n  15 -> 24 [size =\"30128128\"]\n  15 -> 26 [size =\"30128128\"]\n  15 -> 27 [size =\"30128128\"]\n  15 -> 29 [size =\"30128128\"]\n  15 -> 31 [size =\"30128128\"]\n  15 -> 32 [size =\"30128128\"]\n  15 -> 33 [size =\"30128128\"]\n  15 -> 34 [size =\"30128128\"]\n  15 -> 35 [size =\"30128128\"]\n  16 [size=\"30470827\", alpha=\"0.15\", expect_size=\"9141248\"] \n  16 -> 19 [size =\"9141248\"]\n  16 -> 24 [size =\"9141248\"]\n  16 -> 26 [size =\"9141248\"]\n  16 -> 27 [size =\"9141248\"]\n  16 -> 28 [size =\"9141248\"]\n  16 -> 31 [size =\"9141248\"]\n  16 -> 34 [size =\"9141248\"]\n  17 [size=\"163450880\", alpha=\"0.20\", expect_size=\"49035264\"] \n  17 -> 39 [size =\"49035264\"]\n  17 -> 43 [size =\"49035264\"]\n  18 [size=\"147524267\", alpha=\"0.13\", expect_size=\"44257280\"] \n  18 -> 36 [size =\"44257280\"]\n  18 -> 39 [size =\"44257280\"]\n  18 -> 40 [size =\"44257280\"]\n  18 -> 43 [size =\"44257280\"]\n  19 [size=\"166768640\", alpha=\"0.17\", expect_size=\"50030592\"] \n  19 -> 36 [size =\"50030592\"]\n  19 -> 39 [size =\"50030592\"]\n  19 -> 40 [size =\"50030592\"]\n  20 [size=\"164229120\", alpha=\"0.18\", expect_size=\"49268736\"] \n  20 -> 39 [size =\"49268736\"]\n  20 -> 43 [size =\"49268736\"]\n  20 -> 44 [size =\"49268736\"]\n  21 [size=\"25664853\", alpha=\"0.00\", expect_size=\"7699456\"] \n  21 -> 39 [size =\"7699456\"]\n  21 -> 44 [size =\"7699456\"]\n  22 [size=\"43332267\", alpha=\"0.00\", expect_size=\"12999680\"] \n  22 -> 38 [size =\"12999680\"]\n  22 -> 39 [size =\"12999680\"]\n  22 -> 43 [size =\"12999680\"]\n  22 -> 44 [size =\"12999680\"]\n  23 [size=\"160460800\", alpha=\"0.18\", expect_size=\"48138240\"] \n  24 [size=\"106321920\", alpha=\"0.07\", expect_size=\"31896576\"] \n  24 -> 37 [size =\"31896576\"]\n  24 -> 40 [size =\"31896576\"]\n  24 -> 44 [size =\"31896576\"]\n  25 [size=\"143588693\", alpha=\"0.02\", expect_size=\"43076608\"] \n  25 -> 36 [size =\"43076608\"]\n  25 -> 39 [size =\"43076608\"]\n  25 -> 40 [size =\"43076608\"]\n  25 -> 44 [size =\"43076608\"]\n  26 [size=\"53039787\", alpha=\"0.11\", expect_size=\"15911936\"] \n  26 -> 36 [size =\"15911936\"]\n  26 -> 37 [size =\"15911936\"]\n  26 -> 38 [size =\"15911936\"]\n  26 -> 40 [size =\"15911936\"]\n  26 -> 41 [size =\"15911936\"]\n  26 -> 43 [size =\"15911936\"]\n  27 [size=\"170171733\", alpha=\"0.09\", expect_size=\"51051520\"] \n  27 -> 38 [size =\"51051520\"]\n  27 -> 41 [size =\"51051520\"]\n  27 -> 44 [size =\"51051520\"]\n  28 [size=\"168908800\", alpha=\"0.03\", expect_size=\"50672640\"] \n  28 -> 36 [size =\"50672640\"]\n  28 -> 40 [size =\"50672640\"]\n  28 -> 41 [size =\"50672640\"]\n  28 -> 43 [size =\"50672640\"]\n  28 -> 44 [size =\"50672640\"]\n  29 [size=\"111445333\", alpha=\"0.03\", expect_size=\"33433600\"] \n  29 -> 41 [size =\"33433600\"]\n  29 -> 43 [size =\"33433600\"]\n  29 -> 44 [size =\"33433600\"]\n  30 [size=\"86968320\", alpha=\"0.02\", expect_size=\"26090496\"] \n  30 -> 41 [size =\"26090496\"]\n  31 [size=\"69065387\", alpha=\"0.18\", expect_size=\"20719616\"] \n  31 -> 40 [size =\"20719616\"]\n  31 -> 42 [size =\"20719616\"]\n  31 -> 43 [size =\"20719616\"]\n  31 -> 44 [size =\"20719616\"]\n  32 [size=\"69652480\", alpha=\"0.00\", expect_size=\"20895744\"] \n  32 -> 43 [size =\"20895744\"]\n  32 -> 44 [size =\"20895744\"]\n  33 [size=\"72802987\", alpha=\"0.04\", expect_size=\"21840896\"] \n  33 -> 36 [size =\"21840896\"]\n  33 -> 39 [size =\"21840896\"]\n  33 -> 41 [size =\"21840896\"]\n  33 -> 43 [size =\"21840896\"]\n  34 [size=\"58105173\", alpha=\"0.05\", expect_size=\"17431552\"] \n  34 -> 37 [size =\"17431552\"]\n  34 -> 43 [size =\"17431552\"]\n  35 [size=\"113978027\", alpha=\"0.16\", expect_size=\"34193408\"] \n  35 -> 37 [size =\"34193408\"]\n  35 -> 39 [size =\"34193408\"]\n  35 -> 41 [size =\"34193408\"]\n  36 [size=\"125938347\", alpha=\"0.10\", expect_size=\"37781504\"] \n  36 -> 45 [size =\"37781504\"]\n  36 -> 50 [size =\"37781504\"]\n  37 [size=\"57350827\", alpha=\"0.01\", expect_size=\"17205248\"] \n  37 -> 45 [size =\"17205248\"]\n  37 -> 47 [size =\"17205248\"]\n  37 -> 48 [size =\"17205248\"]\n  37 -> 49 [size =\"17205248\"]\n  38 [size=\"126603947\", alpha=\"0.10\", expect_size=\"37981184\"] \n  38 -> 46 [size =\"37981184\"]\n  38 -> 47 [size =\"37981184\"]\n  38 -> 49 [size =\"37981184\"]\n  38 -> 49 [size =\"37981184\"]\n  39 [size=\"146356907\", alpha=\"0.17\", expect_size=\"43907072\"] \n  39 -> 45 [size =\"43907072\"]\n  39 -> 46 [size =\"43907072\"]\n  39 -> 47 [size =\"43907072\"]\n  39 -> 49 [size =\"43907072\"]\n  40 [size=\"167072427\", alpha=\"0.03\", expect_size=\"50121728\"] \n  40 -> 46 [size =\"50121728\"]\n  40 -> 47 [size =\"50121728\"]\n  40 -> 49 [size =\"50121728\"]\n  41 [size=\"23319893\", alpha=\"0.10\", expect_size=\"6995968\"] \n  41 -> 45 [size =\"6995968\"]\n  41 -> 47 [size =\"6995968\"]\n  42 [size=\"161959253\", alpha=\"0.00\", expect_size=\"48587776\"] \n  42 -> 45 [size =\"48587776\"]\n  42 -> 46 [size =\"48587776\"]\n  42 -> 48 [size =\"48587776\"]\n  43 [size=\"164478293\", alpha=\"0.09\", expect_size=\"49343488\"] \n  43 -> 45 [size =\"49343488\"]\n  43 -> 46 [size =\"49343488\"]\n  43 -> 48 [size =\"49343488\"]\n  43 -> 50 [size =\"49343488\"]\n  44 [size=\"37679787\", alpha=\"0.08\", expect_size=\"11303936\"] \n  44 -> 47 [size =\"11303936\"]\n  44 -> 49 [size =\"11303936\"]\n  44 -> 50 [size =\"11303936\"]\n  45 [size=\"76052480\", alpha=\"0.04\", expect_size=\"22815744\"] \n  46 [size=\"47967573\", alpha=\"0.05\", expect_size=\"14390272\"] \n  47 [size=\"123712853\", alpha=\"0.04\", expect_size=\"37113856\"] \n  48 [size=\"134693547\", alpha=\"0.03\", expect_size=\"40408064\"] \n  49 [size=\"53667840\", alpha=\"0.14\", expect_size=\"16100352\"] \n  50 [size=\"29934933\", alpha=\"0.14\", expect_size=\"8980480\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.859.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56664064\", alpha=\"0.07\", expect_size=\"28332032\"] \n  1 -> 13 [size =\"28332032\"]\n  2 [size=\"47271936\", alpha=\"0.03\", expect_size=\"23635968\"] \n  2 -> 11 [size =\"23635968\"]\n  2 -> 12 [size =\"23635968\"]\n  3 [size=\"73373696\", alpha=\"0.11\", expect_size=\"36686848\"] \n  3 -> 11 [size =\"36686848\"]\n  3 -> 13 [size =\"36686848\"]\n  4 [size=\"70514688\", alpha=\"0.09\", expect_size=\"35257344\"] \n  4 -> 12 [size =\"35257344\"]\n  5 [size=\"66314240\", alpha=\"0.09\", expect_size=\"33157120\"] \n  5 -> 10 [size =\"33157120\"]\n  5 -> 11 [size =\"33157120\"]\n  5 -> 12 [size =\"33157120\"]\n  5 -> 13 [size =\"33157120\"]\n  6 [size=\"85514240\", alpha=\"0.17\", expect_size=\"42757120\"] \n  6 -> 11 [size =\"42757120\"]\n  6 -> 11 [size =\"42757120\"]\n  6 -> 12 [size =\"42757120\"]\n  7 [size=\"83009536\", alpha=\"0.00\", expect_size=\"41504768\"] \n  7 -> 11 [size =\"41504768\"]\n  8 [size=\"58322944\", alpha=\"0.04\", expect_size=\"29161472\"] \n  8 -> 11 [size =\"29161472\"]\n  8 -> 13 [size =\"29161472\"]\n  9 [size=\"43610112\", alpha=\"0.19\", expect_size=\"21805056\"] \n  9 -> 12 [size =\"21805056\"]\n  9 -> 13 [size =\"21805056\"]\n  10 [size=\"93908992\", alpha=\"0.18\", expect_size=\"46954496\"] \n  10 -> 14 [size =\"46954496\"]\n  10 -> 15 [size =\"46954496\"]\n  10 -> 16 [size =\"46954496\"]\n  10 -> 17 [size =\"46954496\"]\n  10 -> 19 [size =\"46954496\"]\n  11 [size=\"67485696\", alpha=\"0.13\", expect_size=\"33742848\"] \n  11 -> 14 [size =\"33742848\"]\n  11 -> 15 [size =\"33742848\"]\n  11 -> 16 [size =\"33742848\"]\n  11 -> 17 [size =\"33742848\"]\n  11 -> 20 [size =\"33742848\"]\n  11 -> 21 [size =\"33742848\"]\n  12 [size=\"102715392\", alpha=\"0.17\", expect_size=\"51357696\"] \n  12 -> 14 [size =\"51357696\"]\n  12 -> 15 [size =\"51357696\"]\n  12 -> 17 [size =\"51357696\"]\n  12 -> 18 [size =\"51357696\"]\n  13 [size=\"20742144\", alpha=\"0.09\", expect_size=\"10371072\"] \n  13 -> 14 [size =\"10371072\"]\n  13 -> 15 [size =\"10371072\"]\n  13 -> 16 [size =\"10371072\"]\n  13 -> 19 [size =\"10371072\"]\n  14 [size=\"74930176\", alpha=\"0.13\", expect_size=\"37465088\"] \n  14 -> 22 [size =\"37465088\"]\n  14 -> 25 [size =\"37465088\"]\n  14 -> 26 [size =\"37465088\"]\n  14 -> 28 [size =\"37465088\"]\n  15 [size=\"22220800\", alpha=\"0.12\", expect_size=\"11110400\"] \n  15 -> 22 [size =\"11110400\"]\n  15 -> 24 [size =\"11110400\"]\n  15 -> 25 [size =\"11110400\"]\n  15 -> 27 [size =\"11110400\"]\n  15 -> 28 [size =\"11110400\"]\n  16 [size=\"65046528\", alpha=\"0.12\", expect_size=\"32523264\"] \n  16 -> 22 [size =\"32523264\"]\n  16 -> 24 [size =\"32523264\"]\n  16 -> 25 [size =\"32523264\"]\n  16 -> 27 [size =\"32523264\"]\n  16 -> 28 [size =\"32523264\"]\n  17 [size=\"51632128\", alpha=\"0.03\", expect_size=\"25816064\"] \n  17 -> 22 [size =\"25816064\"]\n  17 -> 24 [size =\"25816064\"]\n  17 -> 25 [size =\"25816064\"]\n  17 -> 27 [size =\"25816064\"]\n  17 -> 28 [size =\"25816064\"]\n  18 [size=\"52891648\", alpha=\"0.00\", expect_size=\"26445824\"] \n  18 -> 22 [size =\"26445824\"]\n  18 -> 23 [size =\"26445824\"]\n  18 -> 24 [size =\"26445824\"]\n  18 -> 25 [size =\"26445824\"]\n  18 -> 26 [size =\"26445824\"]\n  18 -> 28 [size =\"26445824\"]\n  19 [size=\"73273344\", alpha=\"0.00\", expect_size=\"36636672\"] \n  19 -> 24 [size =\"36636672\"]\n  19 -> 25 [size =\"36636672\"]\n  19 -> 28 [size =\"36636672\"]\n  20 [size=\"69171200\", alpha=\"0.19\", expect_size=\"34585600\"] \n  20 -> 22 [size =\"34585600\"]\n  20 -> 24 [size =\"34585600\"]\n  20 -> 25 [size =\"34585600\"]\n  20 -> 27 [size =\"34585600\"]\n  20 -> 28 [size =\"34585600\"]\n  21 [size=\"58939392\", alpha=\"0.08\", expect_size=\"29469696\"] \n  21 -> 22 [size =\"29469696\"]\n  21 -> 24 [size =\"29469696\"]\n  21 -> 28 [size =\"29469696\"]\n  22 [size=\"24508416\", alpha=\"0.04\", expect_size=\"12254208\"] \n  22 -> 30 [size =\"12254208\"]\n  22 -> 31 [size =\"12254208\"]\n  22 -> 34 [size =\"12254208\"]\n  22 -> 35 [size =\"12254208\"]\n  22 -> 36 [size =\"12254208\"]\n  22 -> 38 [size =\"12254208\"]\n  23 [size=\"12279808\", alpha=\"0.14\", expect_size=\"6139904\"] \n  23 -> 29 [size =\"6139904\"]\n  23 -> 30 [size =\"6139904\"]\n  23 -> 34 [size =\"6139904\"]\n  24 [size=\"53356544\", alpha=\"0.16\", expect_size=\"26678272\"] \n  24 -> 29 [size =\"26678272\"]\n  24 -> 30 [size =\"26678272\"]\n  24 -> 31 [size =\"26678272\"]\n  24 -> 34 [size =\"26678272\"]\n  25 [size=\"20504576\", alpha=\"0.11\", expect_size=\"10252288\"] \n  25 -> 29 [size =\"10252288\"]\n  25 -> 30 [size =\"10252288\"]\n  25 -> 33 [size =\"10252288\"]\n  25 -> 34 [size =\"10252288\"]\n  25 -> 35 [size =\"10252288\"]\n  26 [size=\"78819328\", alpha=\"0.01\", expect_size=\"39409664\"] \n  26 -> 29 [size =\"39409664\"]\n  26 -> 30 [size =\"39409664\"]\n  26 -> 31 [size =\"39409664\"]\n  26 -> 32 [size =\"39409664\"]\n  26 -> 33 [size =\"39409664\"]\n  26 -> 34 [size =\"39409664\"]\n  26 -> 35 [size =\"39409664\"]\n  27 [size=\"41885696\", alpha=\"0.06\", expect_size=\"20942848\"] \n  27 -> 29 [size =\"20942848\"]\n  27 -> 33 [size =\"20942848\"]\n  27 -> 34 [size =\"20942848\"]\n  27 -> 35 [size =\"20942848\"]\n  27 -> 38 [size =\"20942848\"]\n  28 [size=\"58152960\", alpha=\"0.02\", expect_size=\"29076480\"] \n  28 -> 29 [size =\"29076480\"]\n  28 -> 30 [size =\"29076480\"]\n  28 -> 34 [size =\"29076480\"]\n  28 -> 35 [size =\"29076480\"]\n  28 -> 36 [size =\"29076480\"]\n  28 -> 37 [size =\"29076480\"]\n  29 [size=\"59258880\", alpha=\"0.05\", expect_size=\"29629440\"] \n  29 -> 39 [size =\"29629440\"]\n  29 -> 43 [size =\"29629440\"]\n  29 -> 46 [size =\"29629440\"]\n  30 [size=\"60172288\", alpha=\"0.05\", expect_size=\"30086144\"] \n  30 -> 39 [size =\"30086144\"]\n  30 -> 40 [size =\"30086144\"]\n  30 -> 42 [size =\"30086144\"]\n  30 -> 46 [size =\"30086144\"]\n  30 -> 48 [size =\"30086144\"]\n  31 [size=\"55638016\", alpha=\"0.18\", expect_size=\"27819008\"] \n  31 -> 39 [size =\"27819008\"]\n  31 -> 44 [size =\"27819008\"]\n  31 -> 45 [size =\"27819008\"]\n  31 -> 46 [size =\"27819008\"]\n  32 [size=\"91834368\", alpha=\"0.10\", expect_size=\"45917184\"] \n  32 -> 40 [size =\"45917184\"]\n  32 -> 41 [size =\"45917184\"]\n  32 -> 42 [size =\"45917184\"]\n  32 -> 43 [size =\"45917184\"]\n  32 -> 45 [size =\"45917184\"]\n  32 -> 46 [size =\"45917184\"]\n  32 -> 47 [size =\"45917184\"]\n  33 [size=\"16805888\", alpha=\"0.04\", expect_size=\"8402944\"] \n  33 -> 41 [size =\"8402944\"]\n  33 -> 43 [size =\"8402944\"]\n  33 -> 46 [size =\"8402944\"]\n  34 [size=\"82184192\", alpha=\"0.12\", expect_size=\"41092096\"] \n  34 -> 42 [size =\"41092096\"]\n  34 -> 44 [size =\"41092096\"]\n  34 -> 46 [size =\"41092096\"]\n  34 -> 48 [size =\"41092096\"]\n  35 [size=\"64882688\", alpha=\"0.02\", expect_size=\"32441344\"] \n  35 -> 39 [size =\"32441344\"]\n  35 -> 40 [size =\"32441344\"]\n  35 -> 44 [size =\"32441344\"]\n  35 -> 47 [size =\"32441344\"]\n  35 -> 48 [size =\"32441344\"]\n  36 [size=\"20731904\", alpha=\"0.04\", expect_size=\"10365952\"] \n  36 -> 39 [size =\"10365952\"]\n  36 -> 40 [size =\"10365952\"]\n  36 -> 41 [size =\"10365952\"]\n  36 -> 43 [size =\"10365952\"]\n  36 -> 46 [size =\"10365952\"]\n  36 -> 48 [size =\"10365952\"]\n  37 [size=\"24764416\", alpha=\"0.15\", expect_size=\"12382208\"] \n  37 -> 39 [size =\"12382208\"]\n  37 -> 40 [size =\"12382208\"]\n  37 -> 41 [size =\"12382208\"]\n  37 -> 43 [size =\"12382208\"]\n  37 -> 46 [size =\"12382208\"]\n  37 -> 47 [size =\"12382208\"]\n  38 [size=\"55132160\", alpha=\"0.15\", expect_size=\"27566080\"] \n  38 -> 40 [size =\"27566080\"]\n  38 -> 41 [size =\"27566080\"]\n  38 -> 42 [size =\"27566080\"]\n  38 -> 43 [size =\"27566080\"]\n  38 -> 45 [size =\"27566080\"]\n  38 -> 46 [size =\"27566080\"]\n  38 -> 47 [size =\"27566080\"]\n  39 [size=\"65300480\", alpha=\"0.07\", expect_size=\"32650240\"] \n  39 -> 49 [size =\"32650240\"]\n  40 [size=\"88397824\", alpha=\"0.13\", expect_size=\"44198912\"] \n  40 -> 50 [size =\"44198912\"]\n  41 [size=\"19101696\", alpha=\"0.09\", expect_size=\"9550848\"] \n  42 [size=\"103159808\", alpha=\"0.07\", expect_size=\"51579904\"] \n  42 -> 49 [size =\"51579904\"]\n  43 [size=\"55312384\", alpha=\"0.06\", expect_size=\"27656192\"] \n  43 -> 49 [size =\"27656192\"]\n  44 [size=\"74565632\", alpha=\"0.14\", expect_size=\"37282816\"] \n  44 -> 49 [size =\"37282816\"]\n  45 [size=\"36614144\", alpha=\"0.04\", expect_size=\"18307072\"] \n  45 -> 49 [size =\"18307072\"]\n  45 -> 50 [size =\"18307072\"]\n  46 [size=\"47572992\", alpha=\"0.09\", expect_size=\"23786496\"] \n  46 -> 49 [size =\"23786496\"]\n  47 [size=\"67627008\", alpha=\"0.00\", expect_size=\"33813504\"] \n  47 -> 49 [size =\"33813504\"]\n  48 [size=\"43556864\", alpha=\"0.02\", expect_size=\"21778432\"] \n  48 -> 49 [size =\"21778432\"]\n  48 -> 50 [size =\"21778432\"]\n  49 [size=\"17766400\", alpha=\"0.14\", expect_size=\"8883200\"] \n  50 [size=\"53045248\", alpha=\"0.16\", expect_size=\"26522624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79730688\", alpha=\"0.14\", expect_size=\"39865344\"] \n  1 -> 2 [size =\"39865344\"]\n  2 [size=\"82874368\", alpha=\"0.19\", expect_size=\"41437184\"] \n  2 -> 3 [size =\"41437184\"]\n  3 [size=\"65869824\", alpha=\"0.17\", expect_size=\"32934912\"] \n  3 -> 4 [size =\"32934912\"]\n  4 [size=\"83886080\", alpha=\"0.06\", expect_size=\"41943040\"] \n  4 -> 5 [size =\"41943040\"]\n  5 [size=\"60018688\", alpha=\"0.18\", expect_size=\"30009344\"] \n  5 -> 6 [size =\"30009344\"]\n  6 [size=\"89395200\", alpha=\"0.17\", expect_size=\"44697600\"] \n  6 -> 7 [size =\"44697600\"]\n  7 [size=\"93818880\", alpha=\"0.06\", expect_size=\"46909440\"] \n  7 -> 8 [size =\"46909440\"]\n  8 [size=\"73670656\", alpha=\"0.18\", expect_size=\"36835328\"] \n  8 -> 9 [size =\"36835328\"]\n  9 [size=\"38979584\", alpha=\"0.11\", expect_size=\"19489792\"] \n  9 -> 10 [size =\"19489792\"]\n  10 [size=\"50399232\", alpha=\"0.15\", expect_size=\"25199616\"] \n  10 -> 11 [size =\"25199616\"]\n  11 [size=\"68239360\", alpha=\"0.09\", expect_size=\"34119680\"] \n  11 -> 12 [size =\"34119680\"]\n  12 [size=\"40759296\", alpha=\"0.15\", expect_size=\"20379648\"] \n  12 -> 13 [size =\"20379648\"]\n  13 [size=\"34076672\", alpha=\"0.13\", expect_size=\"17038336\"] \n  13 -> 14 [size =\"17038336\"]\n  14 [size=\"18393088\", alpha=\"0.04\", expect_size=\"9196544\"] \n  14 -> 15 [size =\"9196544\"]\n  15 [size=\"46424064\", alpha=\"0.12\", expect_size=\"23212032\"] \n  15 -> 16 [size =\"23212032\"]\n  16 [size=\"36182016\", alpha=\"0.11\", expect_size=\"18091008\"] \n  16 -> 17 [size =\"18091008\"]\n  17 [size=\"21098496\", alpha=\"0.01\", expect_size=\"10549248\"] \n  17 -> 18 [size =\"10549248\"]\n  18 [size=\"51101696\", alpha=\"0.06\", expect_size=\"25550848\"] \n  18 -> 19 [size =\"25550848\"]\n  19 [size=\"41451520\", alpha=\"0.01\", expect_size=\"20725760\"] \n  19 -> 20 [size =\"20725760\"]\n  20 [size=\"91555840\", alpha=\"0.00\", expect_size=\"45777920\"] \n  20 -> 21 [size =\"45777920\"]\n  21 [size=\"68407296\", alpha=\"0.15\", expect_size=\"34203648\"] \n  21 -> 22 [size =\"34203648\"]\n  22 [size=\"18853888\", alpha=\"0.04\", expect_size=\"9426944\"] \n  22 -> 23 [size =\"9426944\"]\n  23 [size=\"89116672\", alpha=\"0.05\", expect_size=\"44558336\"] \n  23 -> 24 [size =\"44558336\"]\n  24 [size=\"58052608\", alpha=\"0.02\", expect_size=\"29026304\"] \n  24 -> 25 [size =\"29026304\"]\n  25 [size=\"77465600\", alpha=\"0.10\", expect_size=\"38732800\"] \n  25 -> 26 [size =\"38732800\"]\n  26 [size=\"37500928\", alpha=\"0.14\", expect_size=\"18750464\"] \n  26 -> 27 [size =\"18750464\"]\n  27 [size=\"90445824\", alpha=\"0.15\", expect_size=\"45222912\"] \n  27 -> 28 [size =\"45222912\"]\n  28 [size=\"94537728\", alpha=\"0.10\", expect_size=\"47268864\"] \n  28 -> 29 [size =\"47268864\"]\n  29 [size=\"26677248\", alpha=\"0.12\", expect_size=\"13338624\"] \n  29 -> 30 [size =\"13338624\"]\n  30 [size=\"30345216\", alpha=\"0.01\", expect_size=\"15172608\"] \n  30 -> 31 [size =\"15172608\"]\n  31 [size=\"31821824\", alpha=\"0.03\", expect_size=\"15910912\"] \n  31 -> 32 [size =\"15910912\"]\n  32 [size=\"100352000\", alpha=\"0.11\", expect_size=\"50176000\"] \n  32 -> 33 [size =\"50176000\"]\n  33 [size=\"25212928\", alpha=\"0.05\", expect_size=\"12606464\"] \n  33 -> 34 [size =\"12606464\"]\n  34 [size=\"50528256\", alpha=\"0.20\", expect_size=\"25264128\"] \n  34 -> 35 [size =\"25264128\"]\n  35 [size=\"60958720\", alpha=\"0.02\", expect_size=\"30479360\"] \n  35 -> 36 [size =\"30479360\"]\n  36 [size=\"11663360\", alpha=\"0.10\", expect_size=\"5831680\"] \n  36 -> 37 [size =\"5831680\"]\n  37 [size=\"75929600\", alpha=\"0.00\", expect_size=\"37964800\"] \n  37 -> 38 [size =\"37964800\"]\n  38 [size=\"53970944\", alpha=\"0.19\", expect_size=\"26985472\"] \n  38 -> 39 [size =\"26985472\"]\n  39 [size=\"103346176\", alpha=\"0.05\", expect_size=\"51673088\"] \n  39 -> 40 [size =\"51673088\"]\n  40 [size=\"63807488\", alpha=\"0.07\", expect_size=\"31903744\"] \n  40 -> 41 [size =\"31903744\"]\n  41 [size=\"69640192\", alpha=\"0.02\", expect_size=\"34820096\"] \n  41 -> 42 [size =\"34820096\"]\n  42 [size=\"84228096\", alpha=\"0.19\", expect_size=\"42114048\"] \n  42 -> 43 [size =\"42114048\"]\n  43 [size=\"43474944\", alpha=\"0.12\", expect_size=\"21737472\"] \n  43 -> 44 [size =\"21737472\"]\n  44 [size=\"65341440\", alpha=\"0.16\", expect_size=\"32670720\"] \n  44 -> 45 [size =\"32670720\"]\n  45 [size=\"63367168\", alpha=\"0.13\", expect_size=\"31683584\"] \n  45 -> 46 [size =\"31683584\"]\n  46 [size=\"73490432\", alpha=\"0.17\", expect_size=\"36745216\"] \n  46 -> 47 [size =\"36745216\"]\n  47 [size=\"27037696\", alpha=\"0.17\", expect_size=\"13518848\"] \n  47 -> 48 [size =\"13518848\"]\n  48 [size=\"28991488\", alpha=\"0.15\", expect_size=\"14495744\"] \n  48 -> 49 [size =\"14495744\"]\n  49 [size=\"25597952\", alpha=\"0.16\", expect_size=\"12798976\"] \n  49 -> 50 [size =\"12798976\"]\n  50 [size=\"47822848\", alpha=\"0.02\", expect_size=\"23911424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.860.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54934187\", alpha=\"0.08\", expect_size=\"16480256\"] \n  1 -> 5 [size =\"16480256\"]\n  2 [size=\"33553067\", alpha=\"0.04\", expect_size=\"10065920\"] \n  2 -> 6 [size =\"10065920\"]\n  2 -> 7 [size =\"10065920\"]\n  3 [size=\"131123200\", alpha=\"0.04\", expect_size=\"39336960\"] \n  3 -> 4 [size =\"39336960\"]\n  3 -> 6 [size =\"39336960\"]\n  3 -> 7 [size =\"39336960\"]\n  4 [size=\"170154667\", alpha=\"0.04\", expect_size=\"51046400\"] \n  4 -> 9 [size =\"51046400\"]\n  5 [size=\"167188480\", alpha=\"0.15\", expect_size=\"50156544\"] \n  5 -> 8 [size =\"50156544\"]\n  5 -> 10 [size =\"50156544\"]\n  6 [size=\"164328107\", alpha=\"0.08\", expect_size=\"49298432\"] \n  6 -> 9 [size =\"49298432\"]\n  7 [size=\"134270293\", alpha=\"0.17\", expect_size=\"40281088\"] \n  7 -> 10 [size =\"40281088\"]\n  7 -> 11 [size =\"40281088\"]\n  8 [size=\"146124800\", alpha=\"0.08\", expect_size=\"43837440\"] \n  8 -> 14 [size =\"43837440\"]\n  9 [size=\"131051520\", alpha=\"0.07\", expect_size=\"39315456\"] \n  9 -> 12 [size =\"39315456\"]\n  9 -> 14 [size =\"39315456\"]\n  10 [size=\"172690773\", alpha=\"0.06\", expect_size=\"51807232\"] \n  10 -> 13 [size =\"51807232\"]\n  11 [size=\"171653120\", alpha=\"0.03\", expect_size=\"51495936\"] \n  12 [size=\"78636373\", alpha=\"0.04\", expect_size=\"23590912\"] \n  12 -> 15 [size =\"23590912\"]\n  12 -> 16 [size =\"23590912\"]\n  12 -> 17 [size =\"23590912\"]\n  13 [size=\"109018453\", alpha=\"0.00\", expect_size=\"32705536\"] \n  13 -> 15 [size =\"32705536\"]\n  14 [size=\"143414613\", alpha=\"0.08\", expect_size=\"43024384\"] \n  14 -> 16 [size =\"43024384\"]\n  15 [size=\"172110507\", alpha=\"0.17\", expect_size=\"51633152\"] \n  15 -> 18 [size =\"51633152\"]\n  15 -> 19 [size =\"51633152\"]\n  15 -> 21 [size =\"51633152\"]\n  16 [size=\"131539627\", alpha=\"0.03\", expect_size=\"39461888\"] \n  17 [size=\"39331840\", alpha=\"0.06\", expect_size=\"11799552\"] \n  17 -> 20 [size =\"11799552\"]\n  17 -> 21 [size =\"11799552\"]\n  18 [size=\"173670400\", alpha=\"0.06\", expect_size=\"52101120\"] \n  18 -> 22 [size =\"52101120\"]\n  18 -> 23 [size =\"52101120\"]\n  19 [size=\"78469120\", alpha=\"0.07\", expect_size=\"23540736\"] \n  20 [size=\"129795413\", alpha=\"0.19\", expect_size=\"38938624\"] \n  21 [size=\"22343680\", alpha=\"0.16\", expect_size=\"6703104\"] \n  22 [size=\"44561067\", alpha=\"0.15\", expect_size=\"13368320\"] \n  22 -> 24 [size =\"13368320\"]\n  23 [size=\"75895467\", alpha=\"0.08\", expect_size=\"22768640\"] \n  24 [size=\"77612373\", alpha=\"0.01\", expect_size=\"23283712\"] \n  24 -> 25 [size =\"23283712\"]\n  24 -> 26 [size =\"23283712\"]\n  24 -> 27 [size =\"23283712\"]\n  24 -> 28 [size =\"23283712\"]\n  25 [size=\"141868373\", alpha=\"0.13\", expect_size=\"42560512\"] \n  25 -> 31 [size =\"42560512\"]\n  26 [size=\"117968213\", alpha=\"0.03\", expect_size=\"35390464\"] \n  26 -> 30 [size =\"35390464\"]\n  27 [size=\"138581333\", alpha=\"0.09\", expect_size=\"41574400\"] \n  27 -> 29 [size =\"41574400\"]\n  28 [size=\"26562560\", alpha=\"0.10\", expect_size=\"7968768\"] \n  28 -> 31 [size =\"7968768\"]\n  29 [size=\"73028267\", alpha=\"0.06\", expect_size=\"21908480\"] \n  29 -> 33 [size =\"21908480\"]\n  30 [size=\"129259520\", alpha=\"0.02\", expect_size=\"38777856\"] \n  30 -> 32 [size =\"38777856\"]\n  30 -> 34 [size =\"38777856\"]\n  31 [size=\"123272533\", alpha=\"0.18\", expect_size=\"36981760\"] \n  31 -> 33 [size =\"36981760\"]\n  31 -> 35 [size =\"36981760\"]\n  32 [size=\"92532053\", alpha=\"0.01\", expect_size=\"27759616\"] \n  32 -> 36 [size =\"27759616\"]\n  33 [size=\"53111467\", alpha=\"0.16\", expect_size=\"15933440\"] \n  34 [size=\"118664533\", alpha=\"0.07\", expect_size=\"35599360\"] \n  35 [size=\"127296853\", alpha=\"0.17\", expect_size=\"38189056\"] \n  36 [size=\"71430827\", alpha=\"0.02\", expect_size=\"21429248\"] \n  36 -> 37 [size =\"21429248\"]\n  36 -> 38 [size =\"21429248\"]\n  36 -> 39 [size =\"21429248\"]\n  36 -> 40 [size =\"21429248\"]\n  37 [size=\"97921707\", alpha=\"0.10\", expect_size=\"29376512\"] \n  37 -> 41 [size =\"29376512\"]\n  38 [size=\"166280533\", alpha=\"0.18\", expect_size=\"49884160\"] \n  38 -> 42 [size =\"49884160\"]\n  39 [size=\"90586453\", alpha=\"0.13\", expect_size=\"27175936\"] \n  40 [size=\"141701120\", alpha=\"0.03\", expect_size=\"42510336\"] \n  40 -> 41 [size =\"42510336\"]\n  41 [size=\"160266240\", alpha=\"0.14\", expect_size=\"48079872\"] \n  41 -> 43 [size =\"48079872\"]\n  41 -> 44 [size =\"48079872\"]\n  42 [size=\"143175680\", alpha=\"0.07\", expect_size=\"42952704\"] \n  42 -> 45 [size =\"42952704\"]\n  43 [size=\"151589547\", alpha=\"0.09\", expect_size=\"45476864\"] \n  43 -> 46 [size =\"45476864\"]\n  43 -> 49 [size =\"45476864\"]\n  44 [size=\"119770453\", alpha=\"0.18\", expect_size=\"35931136\"] \n  44 -> 47 [size =\"35931136\"]\n  44 -> 49 [size =\"35931136\"]\n  45 [size=\"173653333\", alpha=\"0.02\", expect_size=\"52096000\"] \n  45 -> 47 [size =\"52096000\"]\n  45 -> 48 [size =\"52096000\"]\n  46 [size=\"153306453\", alpha=\"0.20\", expect_size=\"45991936\"] \n  47 [size=\"172789760\", alpha=\"0.13\", expect_size=\"51836928\"] \n  47 -> 50 [size =\"51836928\"]\n  48 [size=\"96679253\", alpha=\"0.07\", expect_size=\"29003776\"] \n  49 [size=\"81162240\", alpha=\"0.08\", expect_size=\"24348672\"] \n  50 [size=\"29955413\", alpha=\"0.03\", expect_size=\"8986624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.861.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166164480\", alpha=\"0.13\", expect_size=\"49849344\"] \n  1 -> 34 [size =\"49849344\"]\n  1 -> 35 [size =\"49849344\"]\n  1 -> 37 [size =\"49849344\"]\n  1 -> 43 [size =\"49849344\"]\n  2 [size=\"66467840\", alpha=\"0.13\", expect_size=\"19940352\"] \n  2 -> 29 [size =\"19940352\"]\n  2 -> 33 [size =\"19940352\"]\n  2 -> 41 [size =\"19940352\"]\n  2 -> 45 [size =\"19940352\"]\n  3 [size=\"168055467\", alpha=\"0.08\", expect_size=\"50416640\"] \n  3 -> 39 [size =\"50416640\"]\n  3 -> 40 [size =\"50416640\"]\n  3 -> 49 [size =\"50416640\"]\n  4 [size=\"76165120\", alpha=\"0.07\", expect_size=\"22849536\"] \n  4 -> 30 [size =\"22849536\"]\n  4 -> 36 [size =\"22849536\"]\n  4 -> 47 [size =\"22849536\"]\n  5 [size=\"99218773\", alpha=\"0.17\", expect_size=\"29765632\"] \n  5 -> 30 [size =\"29765632\"]\n  5 -> 34 [size =\"29765632\"]\n  5 -> 35 [size =\"29765632\"]\n  5 -> 36 [size =\"29765632\"]\n  5 -> 38 [size =\"29765632\"]\n  5 -> 39 [size =\"29765632\"]\n  5 -> 42 [size =\"29765632\"]\n  5 -> 43 [size =\"29765632\"]\n  5 -> 48 [size =\"29765632\"]\n  6 [size=\"58368000\", alpha=\"0.04\", expect_size=\"17510400\"] \n  6 -> 33 [size =\"17510400\"]\n  6 -> 36 [size =\"17510400\"]\n  6 -> 44 [size =\"17510400\"]\n  7 [size=\"133737813\", alpha=\"0.12\", expect_size=\"40121344\"] \n  8 [size=\"89159680\", alpha=\"0.03\", expect_size=\"26747904\"] \n  8 -> 37 [size =\"26747904\"]\n  8 -> 41 [size =\"26747904\"]\n  8 -> 42 [size =\"26747904\"]\n  8 -> 43 [size =\"26747904\"]\n  8 -> 49 [size =\"26747904\"]\n  8 -> 50 [size =\"26747904\"]\n  9 [size=\"155835733\", alpha=\"0.17\", expect_size=\"46750720\"] \n  9 -> 30 [size =\"46750720\"]\n  9 -> 40 [size =\"46750720\"]\n  9 -> 43 [size =\"46750720\"]\n  9 -> 44 [size =\"46750720\"]\n  9 -> 50 [size =\"46750720\"]\n  9 -> 50 [size =\"46750720\"]\n  10 [size=\"106670080\", alpha=\"0.02\", expect_size=\"32001024\"] \n  10 -> 26 [size =\"32001024\"]\n  10 -> 30 [size =\"32001024\"]\n  10 -> 32 [size =\"32001024\"]\n  10 -> 40 [size =\"32001024\"]\n  10 -> 41 [size =\"32001024\"]\n  10 -> 44 [size =\"32001024\"]\n  10 -> 46 [size =\"32001024\"]\n  10 -> 50 [size =\"32001024\"]\n  11 [size=\"76100267\", alpha=\"0.19\", expect_size=\"22830080\"] \n  11 -> 35 [size =\"22830080\"]\n  11 -> 39 [size =\"22830080\"]\n  11 -> 41 [size =\"22830080\"]\n  11 -> 43 [size =\"22830080\"]\n  11 -> 44 [size =\"22830080\"]\n  11 -> 46 [size =\"22830080\"]\n  11 -> 46 [size =\"22830080\"]\n  11 -> 50 [size =\"22830080\"]\n  12 [size=\"24835413\", alpha=\"0.12\", expect_size=\"7450624\"] \n  12 -> 34 [size =\"7450624\"]\n  12 -> 35 [size =\"7450624\"]\n  12 -> 36 [size =\"7450624\"]\n  12 -> 39 [size =\"7450624\"]\n  12 -> 43 [size =\"7450624\"]\n  12 -> 48 [size =\"7450624\"]\n  12 -> 50 [size =\"7450624\"]\n  13 [size=\"128935253\", alpha=\"0.06\", expect_size=\"38680576\"] \n  13 -> 45 [size =\"38680576\"]\n  13 -> 46 [size =\"38680576\"]\n  13 -> 47 [size =\"38680576\"]\n  14 [size=\"37495467\", alpha=\"0.10\", expect_size=\"11248640\"] \n  14 -> 35 [size =\"11248640\"]\n  14 -> 39 [size =\"11248640\"]\n  14 -> 42 [size =\"11248640\"]\n  14 -> 44 [size =\"11248640\"]\n  14 -> 45 [size =\"11248640\"]\n  14 -> 46 [size =\"11248640\"]\n  15 [size=\"94545920\", alpha=\"0.18\", expect_size=\"28363776\"] \n  15 -> 30 [size =\"28363776\"]\n  15 -> 35 [size =\"28363776\"]\n  15 -> 39 [size =\"28363776\"]\n  15 -> 42 [size =\"28363776\"]\n  15 -> 43 [size =\"28363776\"]\n  15 -> 45 [size =\"28363776\"]\n  15 -> 47 [size =\"28363776\"]\n  15 -> 48 [size =\"28363776\"]\n  16 [size=\"70908587\", alpha=\"0.12\", expect_size=\"21272576\"] \n  16 -> 33 [size =\"21272576\"]\n  16 -> 35 [size =\"21272576\"]\n  16 -> 36 [size =\"21272576\"]\n  16 -> 37 [size =\"21272576\"]\n  16 -> 41 [size =\"21272576\"]\n  16 -> 42 [size =\"21272576\"]\n  16 -> 43 [size =\"21272576\"]\n  16 -> 45 [size =\"21272576\"]\n  16 -> 47 [size =\"21272576\"]\n  17 [size=\"106100053\", alpha=\"0.15\", expect_size=\"31830016\"] \n  17 -> 26 [size =\"31830016\"]\n  17 -> 35 [size =\"31830016\"]\n  17 -> 39 [size =\"31830016\"]\n  17 -> 40 [size =\"31830016\"]\n  17 -> 42 [size =\"31830016\"]\n  17 -> 43 [size =\"31830016\"]\n  17 -> 45 [size =\"31830016\"]\n  17 -> 46 [size =\"31830016\"]\n  18 [size=\"41328640\", alpha=\"0.11\", expect_size=\"12398592\"] \n  18 -> 27 [size =\"12398592\"]\n  18 -> 28 [size =\"12398592\"]\n  18 -> 35 [size =\"12398592\"]\n  18 -> 39 [size =\"12398592\"]\n  18 -> 40 [size =\"12398592\"]\n  18 -> 43 [size =\"12398592\"]\n  18 -> 44 [size =\"12398592\"]\n  19 [size=\"67150507\", alpha=\"0.06\", expect_size=\"20145152\"] \n  19 -> 28 [size =\"20145152\"]\n  19 -> 34 [size =\"20145152\"]\n  19 -> 35 [size =\"20145152\"]\n  19 -> 37 [size =\"20145152\"]\n  19 -> 39 [size =\"20145152\"]\n  19 -> 47 [size =\"20145152\"]\n  19 -> 49 [size =\"20145152\"]\n  20 [size=\"43762347\", alpha=\"0.19\", expect_size=\"13128704\"] \n  20 -> 26 [size =\"13128704\"]\n  20 -> 31 [size =\"13128704\"]\n  20 -> 35 [size =\"13128704\"]\n  20 -> 36 [size =\"13128704\"]\n  21 [size=\"63238827\", alpha=\"0.11\", expect_size=\"18971648\"] \n  21 -> 33 [size =\"18971648\"]\n  21 -> 35 [size =\"18971648\"]\n  21 -> 46 [size =\"18971648\"]\n  22 [size=\"52411733\", alpha=\"0.09\", expect_size=\"15723520\"] \n  22 -> 33 [size =\"15723520\"]\n  22 -> 35 [size =\"15723520\"]\n  22 -> 36 [size =\"15723520\"]\n  22 -> 43 [size =\"15723520\"]\n  22 -> 48 [size =\"15723520\"]\n  23 [size=\"144892587\", alpha=\"0.06\", expect_size=\"43467776\"] \n  23 -> 30 [size =\"43467776\"]\n  23 -> 31 [size =\"43467776\"]\n  23 -> 33 [size =\"43467776\"]\n  23 -> 35 [size =\"43467776\"]\n  23 -> 36 [size =\"43467776\"]\n  23 -> 37 [size =\"43467776\"]\n  23 -> 39 [size =\"43467776\"]\n  23 -> 40 [size =\"43467776\"]\n  23 -> 48 [size =\"43467776\"]\n  24 [size=\"33430187\", alpha=\"0.11\", expect_size=\"10029056\"] \n  24 -> 35 [size =\"10029056\"]\n  24 -> 37 [size =\"10029056\"]\n  24 -> 40 [size =\"10029056\"]\n  24 -> 50 [size =\"10029056\"]\n  25 [size=\"114848427\", alpha=\"0.06\", expect_size=\"34454528\"] \n  25 -> 33 [size =\"34454528\"]\n  25 -> 36 [size =\"34454528\"]\n  25 -> 37 [size =\"34454528\"]\n  25 -> 39 [size =\"34454528\"]\n  25 -> 42 [size =\"34454528\"]\n  25 -> 43 [size =\"34454528\"]\n  26 [size=\"101959680\", alpha=\"0.07\", expect_size=\"30587904\"] \n  27 [size=\"41861120\", alpha=\"0.02\", expect_size=\"12558336\"] \n  28 [size=\"163201707\", alpha=\"0.06\", expect_size=\"48960512\"] \n  29 [size=\"88845653\", alpha=\"0.08\", expect_size=\"26653696\"] \n  30 [size=\"135758507\", alpha=\"0.01\", expect_size=\"40727552\"] \n  31 [size=\"127781547\", alpha=\"0.02\", expect_size=\"38334464\"] \n  32 [size=\"56316587\", alpha=\"0.03\", expect_size=\"16894976\"] \n  33 [size=\"127641600\", alpha=\"0.19\", expect_size=\"38292480\"] \n  34 [size=\"20486827\", alpha=\"0.17\", expect_size=\"6146048\"] \n  35 [size=\"108107093\", alpha=\"0.06\", expect_size=\"32432128\"] \n  36 [size=\"157682347\", alpha=\"0.00\", expect_size=\"47304704\"] \n  37 [size=\"52814507\", alpha=\"0.07\", expect_size=\"15844352\"] \n  38 [size=\"67051520\", alpha=\"0.16\", expect_size=\"20115456\"] \n  39 [size=\"114797227\", alpha=\"0.11\", expect_size=\"34439168\"] \n  40 [size=\"19834880\", alpha=\"0.10\", expect_size=\"5950464\"] \n  41 [size=\"28651520\", alpha=\"0.15\", expect_size=\"8595456\"] \n  42 [size=\"42584747\", alpha=\"0.04\", expect_size=\"12775424\"] \n  43 [size=\"68993707\", alpha=\"0.09\", expect_size=\"20698112\"] \n  44 [size=\"62054400\", alpha=\"0.17\", expect_size=\"18616320\"] \n  45 [size=\"41786027\", alpha=\"0.16\", expect_size=\"12535808\"] \n  46 [size=\"85261653\", alpha=\"0.07\", expect_size=\"25578496\"] \n  47 [size=\"88627200\", alpha=\"0.00\", expect_size=\"26588160\"] \n  48 [size=\"140509867\", alpha=\"0.13\", expect_size=\"42152960\"] \n  49 [size=\"107475627\", alpha=\"0.14\", expect_size=\"32242688\"] \n  50 [size=\"39205547\", alpha=\"0.10\", expect_size=\"11761664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.862.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42704896\", alpha=\"0.10\", expect_size=\"21352448\"] \n  1 -> 2 [size =\"21352448\"]\n  2 [size=\"90468352\", alpha=\"0.15\", expect_size=\"45234176\"] \n  2 -> 3 [size =\"45234176\"]\n  3 [size=\"56285184\", alpha=\"0.18\", expect_size=\"28142592\"] \n  3 -> 4 [size =\"28142592\"]\n  4 [size=\"61437952\", alpha=\"0.16\", expect_size=\"30718976\"] \n  4 -> 5 [size =\"30718976\"]\n  5 [size=\"65941504\", alpha=\"0.15\", expect_size=\"32970752\"] \n  5 -> 6 [size =\"32970752\"]\n  6 [size=\"18743296\", alpha=\"0.20\", expect_size=\"9371648\"] \n  6 -> 7 [size =\"9371648\"]\n  7 [size=\"102187008\", alpha=\"0.06\", expect_size=\"51093504\"] \n  7 -> 8 [size =\"51093504\"]\n  8 [size=\"79857664\", alpha=\"0.15\", expect_size=\"39928832\"] \n  8 -> 9 [size =\"39928832\"]\n  9 [size=\"60987392\", alpha=\"0.05\", expect_size=\"30493696\"] \n  9 -> 10 [size =\"30493696\"]\n  10 [size=\"73150464\", alpha=\"0.01\", expect_size=\"36575232\"] \n  10 -> 11 [size =\"36575232\"]\n  11 [size=\"94486528\", alpha=\"0.15\", expect_size=\"47243264\"] \n  11 -> 12 [size =\"47243264\"]\n  12 [size=\"47392768\", alpha=\"0.03\", expect_size=\"23696384\"] \n  12 -> 13 [size =\"23696384\"]\n  13 [size=\"22024192\", alpha=\"0.07\", expect_size=\"11012096\"] \n  13 -> 14 [size =\"11012096\"]\n  14 [size=\"13627392\", alpha=\"0.16\", expect_size=\"6813696\"] \n  14 -> 15 [size =\"6813696\"]\n  15 [size=\"90540032\", alpha=\"0.01\", expect_size=\"45270016\"] \n  15 -> 16 [size =\"45270016\"]\n  16 [size=\"69124096\", alpha=\"0.14\", expect_size=\"34562048\"] \n  16 -> 17 [size =\"34562048\"]\n  17 [size=\"68024320\", alpha=\"0.10\", expect_size=\"34012160\"] \n  17 -> 18 [size =\"34012160\"]\n  18 [size=\"94134272\", alpha=\"0.08\", expect_size=\"47067136\"] \n  18 -> 19 [size =\"47067136\"]\n  19 [size=\"72189952\", alpha=\"0.17\", expect_size=\"36094976\"] \n  19 -> 20 [size =\"36094976\"]\n  20 [size=\"97454080\", alpha=\"0.12\", expect_size=\"48727040\"] \n  20 -> 21 [size =\"48727040\"]\n  21 [size=\"103503872\", alpha=\"0.13\", expect_size=\"51751936\"] \n  21 -> 22 [size =\"51751936\"]\n  22 [size=\"80232448\", alpha=\"0.12\", expect_size=\"40116224\"] \n  22 -> 23 [size =\"40116224\"]\n  23 [size=\"94521344\", alpha=\"0.00\", expect_size=\"47260672\"] \n  23 -> 24 [size =\"47260672\"]\n  24 [size=\"34248704\", alpha=\"0.19\", expect_size=\"17124352\"] \n  24 -> 25 [size =\"17124352\"]\n  25 [size=\"13594624\", alpha=\"0.10\", expect_size=\"6797312\"] \n  25 -> 26 [size =\"6797312\"]\n  26 [size=\"17905664\", alpha=\"0.03\", expect_size=\"8952832\"] \n  26 -> 27 [size =\"8952832\"]\n  27 [size=\"84025344\", alpha=\"0.15\", expect_size=\"42012672\"] \n  27 -> 28 [size =\"42012672\"]\n  28 [size=\"37064704\", alpha=\"0.01\", expect_size=\"18532352\"] \n  28 -> 29 [size =\"18532352\"]\n  29 [size=\"74246144\", alpha=\"0.19\", expect_size=\"37123072\"] \n  29 -> 30 [size =\"37123072\"]\n  30 [size=\"59934720\", alpha=\"0.09\", expect_size=\"29967360\"] \n  30 -> 31 [size =\"29967360\"]\n  31 [size=\"20928512\", alpha=\"0.18\", expect_size=\"10464256\"] \n  31 -> 32 [size =\"10464256\"]\n  32 [size=\"83816448\", alpha=\"0.14\", expect_size=\"41908224\"] \n  32 -> 33 [size =\"41908224\"]\n  33 [size=\"45469696\", alpha=\"0.13\", expect_size=\"22734848\"] \n  33 -> 34 [size =\"22734848\"]\n  34 [size=\"46057472\", alpha=\"0.12\", expect_size=\"23028736\"] \n  34 -> 35 [size =\"23028736\"]\n  35 [size=\"42162176\", alpha=\"0.09\", expect_size=\"21081088\"] \n  35 -> 36 [size =\"21081088\"]\n  36 [size=\"89241600\", alpha=\"0.17\", expect_size=\"44620800\"] \n  36 -> 37 [size =\"44620800\"]\n  37 [size=\"101183488\", alpha=\"0.18\", expect_size=\"50591744\"] \n  37 -> 38 [size =\"50591744\"]\n  38 [size=\"75317248\", alpha=\"0.17\", expect_size=\"37658624\"] \n  38 -> 39 [size =\"37658624\"]\n  39 [size=\"81014784\", alpha=\"0.09\", expect_size=\"40507392\"] \n  39 -> 40 [size =\"40507392\"]\n  40 [size=\"74409984\", alpha=\"0.19\", expect_size=\"37204992\"] \n  40 -> 41 [size =\"37204992\"]\n  41 [size=\"23791616\", alpha=\"0.09\", expect_size=\"11895808\"] \n  41 -> 42 [size =\"11895808\"]\n  42 [size=\"13166592\", alpha=\"0.14\", expect_size=\"6583296\"] \n  42 -> 43 [size =\"6583296\"]\n  43 [size=\"79437824\", alpha=\"0.16\", expect_size=\"39718912\"] \n  43 -> 44 [size =\"39718912\"]\n  44 [size=\"45402112\", alpha=\"0.04\", expect_size=\"22701056\"] \n  44 -> 45 [size =\"22701056\"]\n  45 [size=\"102948864\", alpha=\"0.12\", expect_size=\"51474432\"] \n  45 -> 46 [size =\"51474432\"]\n  46 [size=\"49014784\", alpha=\"0.02\", expect_size=\"24507392\"] \n  46 -> 47 [size =\"24507392\"]\n  47 [size=\"36614144\", alpha=\"0.07\", expect_size=\"18307072\"] \n  47 -> 48 [size =\"18307072\"]\n  48 [size=\"28913664\", alpha=\"0.18\", expect_size=\"14456832\"] \n  48 -> 49 [size =\"14456832\"]\n  49 [size=\"15190016\", alpha=\"0.03\", expect_size=\"7595008\"] \n  49 -> 50 [size =\"7595008\"]\n  50 [size=\"57147392\", alpha=\"0.18\", expect_size=\"28573696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.863.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93673472\", alpha=\"0.09\", expect_size=\"46836736\"] \n  1 -> 3 [size =\"46836736\"]\n  1 -> 4 [size =\"46836736\"]\n  2 [size=\"28166144\", alpha=\"0.15\", expect_size=\"14083072\"] \n  2 -> 3 [size =\"14083072\"]\n  2 -> 4 [size =\"14083072\"]\n  3 [size=\"64143360\", alpha=\"0.07\", expect_size=\"32071680\"] \n  3 -> 5 [size =\"32071680\"]\n  3 -> 6 [size =\"32071680\"]\n  4 [size=\"70273024\", alpha=\"0.16\", expect_size=\"35136512\"] \n  4 -> 6 [size =\"35136512\"]\n  5 [size=\"85295104\", alpha=\"0.04\", expect_size=\"42647552\"] \n  5 -> 7 [size =\"42647552\"]\n  5 -> 8 [size =\"42647552\"]\n  6 [size=\"104042496\", alpha=\"0.01\", expect_size=\"52021248\"] \n  6 -> 9 [size =\"52021248\"]\n  7 [size=\"27033600\", alpha=\"0.10\", expect_size=\"13516800\"] \n  8 [size=\"29515776\", alpha=\"0.02\", expect_size=\"14757888\"] \n  8 -> 11 [size =\"14757888\"]\n  9 [size=\"76023808\", alpha=\"0.04\", expect_size=\"38011904\"] \n  9 -> 10 [size =\"38011904\"]\n  10 [size=\"59516928\", alpha=\"0.01\", expect_size=\"29758464\"] \n  10 -> 12 [size =\"29758464\"]\n  10 -> 13 [size =\"29758464\"]\n  11 [size=\"63127552\", alpha=\"0.20\", expect_size=\"31563776\"] \n  12 [size=\"11397120\", alpha=\"0.01\", expect_size=\"5698560\"] \n  12 -> 14 [size =\"5698560\"]\n  13 [size=\"80539648\", alpha=\"0.16\", expect_size=\"40269824\"] \n  13 -> 14 [size =\"40269824\"]\n  13 -> 15 [size =\"40269824\"]\n  14 [size=\"18173952\", alpha=\"0.15\", expect_size=\"9086976\"] \n  14 -> 18 [size =\"9086976\"]\n  15 [size=\"93714432\", alpha=\"0.06\", expect_size=\"46857216\"] \n  15 -> 16 [size =\"46857216\"]\n  15 -> 17 [size =\"46857216\"]\n  15 -> 18 [size =\"46857216\"]\n  16 [size=\"19603456\", alpha=\"0.19\", expect_size=\"9801728\"] \n  17 [size=\"25403392\", alpha=\"0.03\", expect_size=\"12701696\"] \n  17 -> 19 [size =\"12701696\"]\n  17 -> 20 [size =\"12701696\"]\n  18 [size=\"74838016\", alpha=\"0.03\", expect_size=\"37419008\"] \n  18 -> 20 [size =\"37419008\"]\n  19 [size=\"84340736\", alpha=\"0.09\", expect_size=\"42170368\"] \n  19 -> 21 [size =\"42170368\"]\n  19 -> 23 [size =\"42170368\"]\n  20 [size=\"101828608\", alpha=\"0.14\", expect_size=\"50914304\"] \n  20 -> 21 [size =\"50914304\"]\n  20 -> 22 [size =\"50914304\"]\n  21 [size=\"13746176\", alpha=\"0.17\", expect_size=\"6873088\"] \n  21 -> 24 [size =\"6873088\"]\n  22 [size=\"11708416\", alpha=\"0.04\", expect_size=\"5854208\"] \n  22 -> 24 [size =\"5854208\"]\n  22 -> 25 [size =\"5854208\"]\n  23 [size=\"18745344\", alpha=\"0.02\", expect_size=\"9372672\"] \n  23 -> 24 [size =\"9372672\"]\n  24 [size=\"95524864\", alpha=\"0.12\", expect_size=\"47762432\"] \n  24 -> 27 [size =\"47762432\"]\n  25 [size=\"73062400\", alpha=\"0.19\", expect_size=\"36531200\"] \n  25 -> 26 [size =\"36531200\"]\n  25 -> 27 [size =\"36531200\"]\n  26 [size=\"101566464\", alpha=\"0.05\", expect_size=\"50783232\"] \n  26 -> 28 [size =\"50783232\"]\n  26 -> 30 [size =\"50783232\"]\n  27 [size=\"96620544\", alpha=\"0.15\", expect_size=\"48310272\"] \n  27 -> 28 [size =\"48310272\"]\n  27 -> 29 [size =\"48310272\"]\n  27 -> 30 [size =\"48310272\"]\n  28 [size=\"15521792\", alpha=\"0.09\", expect_size=\"7760896\"] \n  28 -> 31 [size =\"7760896\"]\n  28 -> 33 [size =\"7760896\"]\n  29 [size=\"31723520\", alpha=\"0.16\", expect_size=\"15861760\"] \n  29 -> 31 [size =\"15861760\"]\n  29 -> 32 [size =\"15861760\"]\n  29 -> 33 [size =\"15861760\"]\n  30 [size=\"74127360\", alpha=\"0.14\", expect_size=\"37063680\"] \n  31 [size=\"46661632\", alpha=\"0.04\", expect_size=\"23330816\"] \n  31 -> 34 [size =\"23330816\"]\n  32 [size=\"32512000\", alpha=\"0.13\", expect_size=\"16256000\"] \n  32 -> 35 [size =\"16256000\"]\n  33 [size=\"49360896\", alpha=\"0.17\", expect_size=\"24680448\"] \n  34 [size=\"56496128\", alpha=\"0.03\", expect_size=\"28248064\"] \n  34 -> 36 [size =\"28248064\"]\n  34 -> 37 [size =\"28248064\"]\n  35 [size=\"19333120\", alpha=\"0.07\", expect_size=\"9666560\"] \n  35 -> 37 [size =\"9666560\"]\n  36 [size=\"12681216\", alpha=\"0.12\", expect_size=\"6340608\"] \n  36 -> 39 [size =\"6340608\"]\n  37 [size=\"35725312\", alpha=\"0.01\", expect_size=\"17862656\"] \n  37 -> 38 [size =\"17862656\"]\n  38 [size=\"10645504\", alpha=\"0.03\", expect_size=\"5322752\"] \n  38 -> 40 [size =\"5322752\"]\n  38 -> 41 [size =\"5322752\"]\n  39 [size=\"50839552\", alpha=\"0.01\", expect_size=\"25419776\"] \n  39 -> 40 [size =\"25419776\"]\n  39 -> 41 [size =\"25419776\"]\n  39 -> 42 [size =\"25419776\"]\n  40 [size=\"33105920\", alpha=\"0.19\", expect_size=\"16552960\"] \n  40 -> 45 [size =\"16552960\"]\n  41 [size=\"100845568\", alpha=\"0.17\", expect_size=\"50422784\"] \n  41 -> 43 [size =\"50422784\"]\n  41 -> 44 [size =\"50422784\"]\n  41 -> 45 [size =\"50422784\"]\n  42 [size=\"23586816\", alpha=\"0.15\", expect_size=\"11793408\"] \n  42 -> 43 [size =\"11793408\"]\n  43 [size=\"85358592\", alpha=\"0.15\", expect_size=\"42679296\"] \n  43 -> 46 [size =\"42679296\"]\n  43 -> 48 [size =\"42679296\"]\n  44 [size=\"73097216\", alpha=\"0.13\", expect_size=\"36548608\"] \n  44 -> 46 [size =\"36548608\"]\n  45 [size=\"88864768\", alpha=\"0.04\", expect_size=\"44432384\"] \n  45 -> 47 [size =\"44432384\"]\n  46 [size=\"27148288\", alpha=\"0.15\", expect_size=\"13574144\"] \n  46 -> 49 [size =\"13574144\"]\n  46 -> 50 [size =\"13574144\"]\n  47 [size=\"85811200\", alpha=\"0.04\", expect_size=\"42905600\"] \n  47 -> 49 [size =\"42905600\"]\n  47 -> 50 [size =\"42905600\"]\n  48 [size=\"91027456\", alpha=\"0.14\", expect_size=\"45513728\"] \n  48 -> 49 [size =\"45513728\"]\n  49 [size=\"12777472\", alpha=\"0.08\", expect_size=\"6388736\"] \n  50 [size=\"19292160\", alpha=\"0.16\", expect_size=\"9646080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.864.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140680533\", alpha=\"0.16\", expect_size=\"42204160\"] \n  1 -> 2 [size =\"42204160\"]\n  2 [size=\"111994880\", alpha=\"0.09\", expect_size=\"33598464\"] \n  2 -> 3 [size =\"33598464\"]\n  3 [size=\"42018133\", alpha=\"0.08\", expect_size=\"12605440\"] \n  3 -> 4 [size =\"12605440\"]\n  4 [size=\"108793173\", alpha=\"0.15\", expect_size=\"32637952\"] \n  4 -> 5 [size =\"32637952\"]\n  5 [size=\"163942400\", alpha=\"0.08\", expect_size=\"49182720\"] \n  5 -> 6 [size =\"49182720\"]\n  6 [size=\"19619840\", alpha=\"0.13\", expect_size=\"5885952\"] \n  6 -> 7 [size =\"5885952\"]\n  7 [size=\"84070400\", alpha=\"0.14\", expect_size=\"25221120\"] \n  7 -> 8 [size =\"25221120\"]\n  8 [size=\"103929173\", alpha=\"0.02\", expect_size=\"31178752\"] \n  8 -> 9 [size =\"31178752\"]\n  9 [size=\"145814187\", alpha=\"0.10\", expect_size=\"43744256\"] \n  9 -> 10 [size =\"43744256\"]\n  10 [size=\"56381440\", alpha=\"0.04\", expect_size=\"16914432\"] \n  10 -> 11 [size =\"16914432\"]\n  11 [size=\"24719360\", alpha=\"0.03\", expect_size=\"7415808\"] \n  11 -> 12 [size =\"7415808\"]\n  12 [size=\"148541440\", alpha=\"0.15\", expect_size=\"44562432\"] \n  12 -> 13 [size =\"44562432\"]\n  13 [size=\"59176960\", alpha=\"0.20\", expect_size=\"17753088\"] \n  13 -> 14 [size =\"17753088\"]\n  14 [size=\"120340480\", alpha=\"0.04\", expect_size=\"36102144\"] \n  14 -> 15 [size =\"36102144\"]\n  15 [size=\"81182720\", alpha=\"0.03\", expect_size=\"24354816\"] \n  15 -> 16 [size =\"24354816\"]\n  16 [size=\"140431360\", alpha=\"0.13\", expect_size=\"42129408\"] \n  16 -> 17 [size =\"42129408\"]\n  17 [size=\"84019200\", alpha=\"0.13\", expect_size=\"25205760\"] \n  17 -> 18 [size =\"25205760\"]\n  18 [size=\"36754773\", alpha=\"0.01\", expect_size=\"11026432\"] \n  18 -> 19 [size =\"11026432\"]\n  19 [size=\"53428907\", alpha=\"0.12\", expect_size=\"16028672\"] \n  19 -> 20 [size =\"16028672\"]\n  20 [size=\"129962667\", alpha=\"0.15\", expect_size=\"38988800\"] \n  20 -> 21 [size =\"38988800\"]\n  21 [size=\"164334933\", alpha=\"0.13\", expect_size=\"49300480\"] \n  21 -> 22 [size =\"49300480\"]\n  22 [size=\"27630933\", alpha=\"0.03\", expect_size=\"8289280\"] \n  22 -> 23 [size =\"8289280\"]\n  23 [size=\"143138133\", alpha=\"0.16\", expect_size=\"42941440\"] \n  23 -> 24 [size =\"42941440\"]\n  24 [size=\"141076480\", alpha=\"0.01\", expect_size=\"42322944\"] \n  24 -> 25 [size =\"42322944\"]\n  25 [size=\"172960427\", alpha=\"0.05\", expect_size=\"51888128\"] \n  25 -> 26 [size =\"51888128\"]\n  26 [size=\"42250240\", alpha=\"0.09\", expect_size=\"12675072\"] \n  26 -> 27 [size =\"12675072\"]\n  27 [size=\"147261440\", alpha=\"0.01\", expect_size=\"44178432\"] \n  27 -> 28 [size =\"44178432\"]\n  28 [size=\"89907200\", alpha=\"0.04\", expect_size=\"26972160\"] \n  28 -> 29 [size =\"26972160\"]\n  29 [size=\"98263040\", alpha=\"0.04\", expect_size=\"29478912\"] \n  29 -> 30 [size =\"29478912\"]\n  30 [size=\"35556693\", alpha=\"0.08\", expect_size=\"10667008\"] \n  30 -> 31 [size =\"10667008\"]\n  31 [size=\"150016000\", alpha=\"0.14\", expect_size=\"45004800\"] \n  31 -> 32 [size =\"45004800\"]\n  32 [size=\"92989440\", alpha=\"0.16\", expect_size=\"27896832\"] \n  32 -> 33 [size =\"27896832\"]\n  33 [size=\"116282027\", alpha=\"0.04\", expect_size=\"34884608\"] \n  33 -> 34 [size =\"34884608\"]\n  34 [size=\"87152640\", alpha=\"0.04\", expect_size=\"26145792\"] \n  34 -> 35 [size =\"26145792\"]\n  35 [size=\"96921600\", alpha=\"0.13\", expect_size=\"29076480\"] \n  35 -> 36 [size =\"29076480\"]\n  36 [size=\"134765227\", alpha=\"0.17\", expect_size=\"40429568\"] \n  36 -> 37 [size =\"40429568\"]\n  37 [size=\"45544107\", alpha=\"0.10\", expect_size=\"13663232\"] \n  37 -> 38 [size =\"13663232\"]\n  38 [size=\"53142187\", alpha=\"0.05\", expect_size=\"15942656\"] \n  38 -> 39 [size =\"15942656\"]\n  39 [size=\"86725973\", alpha=\"0.05\", expect_size=\"26017792\"] \n  39 -> 40 [size =\"26017792\"]\n  40 [size=\"117346987\", alpha=\"0.19\", expect_size=\"35204096\"] \n  40 -> 41 [size =\"35204096\"]\n  41 [size=\"26624000\", alpha=\"0.12\", expect_size=\"7987200\"] \n  41 -> 42 [size =\"7987200\"]\n  42 [size=\"136379733\", alpha=\"0.06\", expect_size=\"40913920\"] \n  42 -> 43 [size =\"40913920\"]\n  43 [size=\"105816747\", alpha=\"0.16\", expect_size=\"31745024\"] \n  43 -> 44 [size =\"31745024\"]\n  44 [size=\"133928960\", alpha=\"0.01\", expect_size=\"40178688\"] \n  44 -> 45 [size =\"40178688\"]\n  45 [size=\"166287360\", alpha=\"0.07\", expect_size=\"49886208\"] \n  45 -> 46 [size =\"49886208\"]\n  46 [size=\"109322240\", alpha=\"0.15\", expect_size=\"32796672\"] \n  46 -> 47 [size =\"32796672\"]\n  47 [size=\"85985280\", alpha=\"0.01\", expect_size=\"25795584\"] \n  47 -> 48 [size =\"25795584\"]\n  48 [size=\"162822827\", alpha=\"0.15\", expect_size=\"48846848\"] \n  48 -> 49 [size =\"48846848\"]\n  49 [size=\"44537173\", alpha=\"0.20\", expect_size=\"13361152\"] \n  49 -> 50 [size =\"13361152\"]\n  50 [size=\"81657173\", alpha=\"0.07\", expect_size=\"24497152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.865.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61591040\", alpha=\"0.10\", expect_size=\"24636416\"] \n  1 -> 9 [size =\"24636416\"]\n  1 -> 12 [size =\"24636416\"]\n  2 [size=\"93340160\", alpha=\"0.06\", expect_size=\"37336064\"] \n  2 -> 12 [size =\"37336064\"]\n  3 [size=\"127173120\", alpha=\"0.16\", expect_size=\"50869248\"] \n  3 -> 7 [size =\"50869248\"]\n  3 -> 9 [size =\"50869248\"]\n  3 -> 10 [size =\"50869248\"]\n  4 [size=\"118287360\", alpha=\"0.11\", expect_size=\"47314944\"] \n  4 -> 9 [size =\"47314944\"]\n  4 -> 12 [size =\"47314944\"]\n  5 [size=\"53130240\", alpha=\"0.05\", expect_size=\"21252096\"] \n  5 -> 8 [size =\"21252096\"]\n  5 -> 12 [size =\"21252096\"]\n  6 [size=\"66234880\", alpha=\"0.11\", expect_size=\"26493952\"] \n  6 -> 7 [size =\"26493952\"]\n  6 -> 8 [size =\"26493952\"]\n  6 -> 11 [size =\"26493952\"]\n  6 -> 12 [size =\"26493952\"]\n  7 [size=\"82560000\", alpha=\"0.13\", expect_size=\"33024000\"] \n  7 -> 13 [size =\"33024000\"]\n  7 -> 14 [size =\"33024000\"]\n  7 -> 17 [size =\"33024000\"]\n  7 -> 18 [size =\"33024000\"]\n  7 -> 19 [size =\"33024000\"]\n  8 [size=\"26680320\", alpha=\"0.15\", expect_size=\"10672128\"] \n  8 -> 17 [size =\"10672128\"]\n  9 [size=\"40565760\", alpha=\"0.03\", expect_size=\"16226304\"] \n  9 -> 13 [size =\"16226304\"]\n  9 -> 14 [size =\"16226304\"]\n  9 -> 15 [size =\"16226304\"]\n  9 -> 17 [size =\"16226304\"]\n  10 [size=\"117852160\", alpha=\"0.14\", expect_size=\"47140864\"] \n  10 -> 13 [size =\"47140864\"]\n  10 -> 14 [size =\"47140864\"]\n  10 -> 15 [size =\"47140864\"]\n  10 -> 16 [size =\"47140864\"]\n  10 -> 19 [size =\"47140864\"]\n  11 [size=\"121694720\", alpha=\"0.02\", expect_size=\"48677888\"] \n  11 -> 15 [size =\"48677888\"]\n  11 -> 19 [size =\"48677888\"]\n  12 [size=\"63521280\", alpha=\"0.11\", expect_size=\"25408512\"] \n  12 -> 13 [size =\"25408512\"]\n  13 [size=\"97927680\", alpha=\"0.13\", expect_size=\"39171072\"] \n  13 -> 22 [size =\"39171072\"]\n  13 -> 23 [size =\"39171072\"]\n  14 [size=\"76702720\", alpha=\"0.08\", expect_size=\"30681088\"] \n  14 -> 20 [size =\"30681088\"]\n  14 -> 24 [size =\"30681088\"]\n  15 [size=\"22343680\", alpha=\"0.10\", expect_size=\"8937472\"] \n  15 -> 22 [size =\"8937472\"]\n  15 -> 24 [size =\"8937472\"]\n  16 [size=\"50091520\", alpha=\"0.12\", expect_size=\"20036608\"] \n  16 -> 20 [size =\"20036608\"]\n  16 -> 22 [size =\"20036608\"]\n  16 -> 25 [size =\"20036608\"]\n  17 [size=\"112320000\", alpha=\"0.09\", expect_size=\"44928000\"] \n  17 -> 20 [size =\"44928000\"]\n  17 -> 21 [size =\"44928000\"]\n  17 -> 22 [size =\"44928000\"]\n  18 [size=\"68142080\", alpha=\"0.12\", expect_size=\"27256832\"] \n  18 -> 20 [size =\"27256832\"]\n  18 -> 21 [size =\"27256832\"]\n  18 -> 22 [size =\"27256832\"]\n  19 [size=\"41105920\", alpha=\"0.11\", expect_size=\"16442368\"] \n  19 -> 21 [size =\"16442368\"]\n  19 -> 24 [size =\"16442368\"]\n  20 [size=\"58296320\", alpha=\"0.03\", expect_size=\"23318528\"] \n  20 -> 26 [size =\"23318528\"]\n  20 -> 27 [size =\"23318528\"]\n  20 -> 28 [size =\"23318528\"]\n  20 -> 29 [size =\"23318528\"]\n  20 -> 30 [size =\"23318528\"]\n  21 [size=\"22743040\", alpha=\"0.03\", expect_size=\"9097216\"] \n  21 -> 26 [size =\"9097216\"]\n  21 -> 27 [size =\"9097216\"]\n  22 [size=\"33200640\", alpha=\"0.16\", expect_size=\"13280256\"] \n  22 -> 27 [size =\"13280256\"]\n  23 [size=\"96488960\", alpha=\"0.08\", expect_size=\"38595584\"] \n  24 [size=\"52508160\", alpha=\"0.19\", expect_size=\"21003264\"] \n  24 -> 31 [size =\"21003264\"]\n  25 [size=\"98375680\", alpha=\"0.16\", expect_size=\"39350272\"] \n  25 -> 26 [size =\"39350272\"]\n  25 -> 28 [size =\"39350272\"]\n  25 -> 32 [size =\"39350272\"]\n  26 [size=\"38873600\", alpha=\"0.02\", expect_size=\"15549440\"] \n  26 -> 33 [size =\"15549440\"]\n  26 -> 34 [size =\"15549440\"]\n  27 [size=\"111016960\", alpha=\"0.00\", expect_size=\"44406784\"] \n  27 -> 34 [size =\"44406784\"]\n  27 -> 36 [size =\"44406784\"]\n  27 -> 39 [size =\"44406784\"]\n  28 [size=\"49044480\", alpha=\"0.01\", expect_size=\"19617792\"] \n  28 -> 34 [size =\"19617792\"]\n  28 -> 39 [size =\"19617792\"]\n  28 -> 39 [size =\"19617792\"]\n  29 [size=\"118353920\", alpha=\"0.06\", expect_size=\"47341568\"] \n  29 -> 36 [size =\"47341568\"]\n  29 -> 38 [size =\"47341568\"]\n  30 [size=\"68039680\", alpha=\"0.08\", expect_size=\"27215872\"] \n  30 -> 34 [size =\"27215872\"]\n  30 -> 35 [size =\"27215872\"]\n  30 -> 37 [size =\"27215872\"]\n  30 -> 38 [size =\"27215872\"]\n  31 [size=\"85199360\", alpha=\"0.09\", expect_size=\"34079744\"] \n  31 -> 38 [size =\"34079744\"]\n  32 [size=\"100349440\", alpha=\"0.19\", expect_size=\"40139776\"] \n  32 -> 38 [size =\"40139776\"]\n  33 [size=\"75760640\", alpha=\"0.03\", expect_size=\"30304256\"] \n  33 -> 42 [size =\"30304256\"]\n  33 -> 44 [size =\"30304256\"]\n  33 -> 45 [size =\"30304256\"]\n  34 [size=\"125504000\", alpha=\"0.18\", expect_size=\"50201600\"] \n  34 -> 41 [size =\"50201600\"]\n  34 -> 42 [size =\"50201600\"]\n  34 -> 43 [size =\"50201600\"]\n  34 -> 45 [size =\"50201600\"]\n  35 [size=\"118824960\", alpha=\"0.14\", expect_size=\"47529984\"] \n  35 -> 40 [size =\"47529984\"]\n  35 -> 41 [size =\"47529984\"]\n  35 -> 42 [size =\"47529984\"]\n  36 [size=\"95754240\", alpha=\"0.17\", expect_size=\"38301696\"] \n  36 -> 40 [size =\"38301696\"]\n  37 [size=\"109414400\", alpha=\"0.17\", expect_size=\"43765760\"] \n  37 -> 41 [size =\"43765760\"]\n  38 [size=\"111301120\", alpha=\"0.05\", expect_size=\"44520448\"] \n  38 -> 40 [size =\"44520448\"]\n  38 -> 41 [size =\"44520448\"]\n  38 -> 43 [size =\"44520448\"]\n  38 -> 44 [size =\"44520448\"]\n  38 -> 45 [size =\"44520448\"]\n  38 -> 46 [size =\"44520448\"]\n  39 [size=\"114987520\", alpha=\"0.19\", expect_size=\"45995008\"] \n  39 -> 41 [size =\"45995008\"]\n  39 -> 43 [size =\"45995008\"]\n  39 -> 43 [size =\"45995008\"]\n  40 [size=\"29967360\", alpha=\"0.00\", expect_size=\"11986944\"] \n  40 -> 48 [size =\"11986944\"]\n  40 -> 49 [size =\"11986944\"]\n  41 [size=\"78952960\", alpha=\"0.03\", expect_size=\"31581184\"] \n  42 [size=\"16640000\", alpha=\"0.09\", expect_size=\"6656000\"] \n  42 -> 49 [size =\"6656000\"]\n  42 -> 50 [size =\"6656000\"]\n  43 [size=\"129369600\", alpha=\"0.10\", expect_size=\"51747840\"] \n  43 -> 50 [size =\"51747840\"]\n  44 [size=\"30108160\", alpha=\"0.17\", expect_size=\"12043264\"] \n  44 -> 47 [size =\"12043264\"]\n  45 [size=\"18375680\", alpha=\"0.18\", expect_size=\"7350272\"] \n  45 -> 50 [size =\"7350272\"]\n  46 [size=\"103413760\", alpha=\"0.04\", expect_size=\"41365504\"] \n  46 -> 48 [size =\"41365504\"]\n  47 [size=\"86277120\", alpha=\"0.07\", expect_size=\"34510848\"] \n  48 [size=\"66176000\", alpha=\"0.16\", expect_size=\"26470400\"] \n  49 [size=\"98147840\", alpha=\"0.02\", expect_size=\"39259136\"] \n  50 [size=\"92229120\", alpha=\"0.18\", expect_size=\"36891648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.866.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"33122304\", alpha=\"0.13\", expect_size=\"16561152\"] \n  1 -> 2 [size =\"16561152\"]\n  2 [size=\"92821504\", alpha=\"0.14\", expect_size=\"46410752\"] \n  2 -> 3 [size =\"46410752\"]\n  3 [size=\"90677248\", alpha=\"0.09\", expect_size=\"45338624\"] \n  3 -> 4 [size =\"45338624\"]\n  4 [size=\"71903232\", alpha=\"0.06\", expect_size=\"35951616\"] \n  4 -> 5 [size =\"35951616\"]\n  5 [size=\"87228416\", alpha=\"0.02\", expect_size=\"43614208\"] \n  5 -> 6 [size =\"43614208\"]\n  6 [size=\"103913472\", alpha=\"0.19\", expect_size=\"51956736\"] \n  6 -> 7 [size =\"51956736\"]\n  7 [size=\"99280896\", alpha=\"0.16\", expect_size=\"49640448\"] \n  7 -> 8 [size =\"49640448\"]\n  8 [size=\"52981760\", alpha=\"0.13\", expect_size=\"26490880\"] \n  8 -> 9 [size =\"26490880\"]\n  9 [size=\"77395968\", alpha=\"0.19\", expect_size=\"38697984\"] \n  9 -> 10 [size =\"38697984\"]\n  10 [size=\"55427072\", alpha=\"0.03\", expect_size=\"27713536\"] \n  10 -> 11 [size =\"27713536\"]\n  11 [size=\"47259648\", alpha=\"0.07\", expect_size=\"23629824\"] \n  11 -> 12 [size =\"23629824\"]\n  12 [size=\"11986944\", alpha=\"0.04\", expect_size=\"5993472\"] \n  12 -> 13 [size =\"5993472\"]\n  13 [size=\"77854720\", alpha=\"0.11\", expect_size=\"38927360\"] \n  13 -> 14 [size =\"38927360\"]\n  14 [size=\"25694208\", alpha=\"0.13\", expect_size=\"12847104\"] \n  14 -> 15 [size =\"12847104\"]\n  15 [size=\"52645888\", alpha=\"0.07\", expect_size=\"26322944\"] \n  15 -> 16 [size =\"26322944\"]\n  16 [size=\"62054400\", alpha=\"0.16\", expect_size=\"31027200\"] \n  16 -> 17 [size =\"31027200\"]\n  17 [size=\"56211456\", alpha=\"0.10\", expect_size=\"28105728\"] \n  17 -> 18 [size =\"28105728\"]\n  18 [size=\"36786176\", alpha=\"0.11\", expect_size=\"18393088\"] \n  18 -> 19 [size =\"18393088\"]\n  19 [size=\"97994752\", alpha=\"0.06\", expect_size=\"48997376\"] \n  19 -> 20 [size =\"48997376\"]\n  20 [size=\"92915712\", alpha=\"0.19\", expect_size=\"46457856\"] \n  20 -> 21 [size =\"46457856\"]\n  21 [size=\"13189120\", alpha=\"0.16\", expect_size=\"6594560\"] \n  21 -> 22 [size =\"6594560\"]\n  22 [size=\"45019136\", alpha=\"0.11\", expect_size=\"22509568\"] \n  22 -> 23 [size =\"22509568\"]\n  23 [size=\"63766528\", alpha=\"0.03\", expect_size=\"31883264\"] \n  23 -> 24 [size =\"31883264\"]\n  24 [size=\"21491712\", alpha=\"0.08\", expect_size=\"10745856\"] \n  24 -> 25 [size =\"10745856\"]\n  25 [size=\"80799744\", alpha=\"0.09\", expect_size=\"40399872\"] \n  25 -> 26 [size =\"40399872\"]\n  26 [size=\"21145600\", alpha=\"0.10\", expect_size=\"10572800\"] \n  26 -> 27 [size =\"10572800\"]\n  27 [size=\"95608832\", alpha=\"0.10\", expect_size=\"47804416\"] \n  27 -> 28 [size =\"47804416\"]\n  28 [size=\"49321984\", alpha=\"0.19\", expect_size=\"24660992\"] \n  28 -> 29 [size =\"24660992\"]\n  29 [size=\"101167104\", alpha=\"0.01\", expect_size=\"50583552\"] \n  29 -> 30 [size =\"50583552\"]\n  30 [size=\"34871296\", alpha=\"0.14\", expect_size=\"17435648\"] \n  30 -> 31 [size =\"17435648\"]\n  31 [size=\"28284928\", alpha=\"0.14\", expect_size=\"14142464\"] \n  31 -> 32 [size =\"14142464\"]\n  32 [size=\"104048640\", alpha=\"0.15\", expect_size=\"52024320\"] \n  32 -> 33 [size =\"52024320\"]\n  33 [size=\"61380608\", alpha=\"0.10\", expect_size=\"30690304\"] \n  33 -> 34 [size =\"30690304\"]\n  34 [size=\"74848256\", alpha=\"0.08\", expect_size=\"37424128\"] \n  34 -> 35 [size =\"37424128\"]\n  35 [size=\"17123328\", alpha=\"0.15\", expect_size=\"8561664\"] \n  35 -> 36 [size =\"8561664\"]\n  36 [size=\"59320320\", alpha=\"0.13\", expect_size=\"29660160\"] \n  36 -> 37 [size =\"29660160\"]\n  37 [size=\"11757568\", alpha=\"0.01\", expect_size=\"5878784\"] \n  37 -> 38 [size =\"5878784\"]\n  38 [size=\"57600000\", alpha=\"0.14\", expect_size=\"28800000\"] \n  38 -> 39 [size =\"28800000\"]\n  39 [size=\"50599936\", alpha=\"0.06\", expect_size=\"25299968\"] \n  39 -> 40 [size =\"25299968\"]\n  40 [size=\"57671680\", alpha=\"0.15\", expect_size=\"28835840\"] \n  40 -> 41 [size =\"28835840\"]\n  41 [size=\"29382656\", alpha=\"0.05\", expect_size=\"14691328\"] \n  41 -> 42 [size =\"14691328\"]\n  42 [size=\"96880640\", alpha=\"0.02\", expect_size=\"48440320\"] \n  42 -> 43 [size =\"48440320\"]\n  43 [size=\"72925184\", alpha=\"0.10\", expect_size=\"36462592\"] \n  43 -> 44 [size =\"36462592\"]\n  44 [size=\"24883200\", alpha=\"0.01\", expect_size=\"12441600\"] \n  44 -> 45 [size =\"12441600\"]\n  45 [size=\"62339072\", alpha=\"0.07\", expect_size=\"31169536\"] \n  45 -> 46 [size =\"31169536\"]\n  46 [size=\"38707200\", alpha=\"0.15\", expect_size=\"19353600\"] \n  46 -> 47 [size =\"19353600\"]\n  47 [size=\"99930112\", alpha=\"0.01\", expect_size=\"49965056\"] \n  47 -> 48 [size =\"49965056\"]\n  48 [size=\"102991872\", alpha=\"0.15\", expect_size=\"51495936\"] \n  48 -> 49 [size =\"51495936\"]\n  49 [size=\"74194944\", alpha=\"0.08\", expect_size=\"37097472\"] \n  49 -> 50 [size =\"37097472\"]\n  50 [size=\"101048320\", alpha=\"0.07\", expect_size=\"50524160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.867.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29655040\", alpha=\"0.08\", expect_size=\"8896512\"] \n  1 -> 27 [size =\"8896512\"]\n  1 -> 29 [size =\"8896512\"]\n  1 -> 31 [size =\"8896512\"]\n  1 -> 38 [size =\"8896512\"]\n  1 -> 39 [size =\"8896512\"]\n  1 -> 45 [size =\"8896512\"]\n  1 -> 47 [size =\"8896512\"]\n  1 -> 50 [size =\"8896512\"]\n  2 [size=\"168748373\", alpha=\"0.04\", expect_size=\"50624512\"] \n  2 -> 25 [size =\"50624512\"]\n  2 -> 27 [size =\"50624512\"]\n  2 -> 30 [size =\"50624512\"]\n  2 -> 31 [size =\"50624512\"]\n  2 -> 35 [size =\"50624512\"]\n  2 -> 36 [size =\"50624512\"]\n  2 -> 43 [size =\"50624512\"]\n  2 -> 44 [size =\"50624512\"]\n  2 -> 46 [size =\"50624512\"]\n  2 -> 47 [size =\"50624512\"]\n  3 [size=\"36952747\", alpha=\"0.01\", expect_size=\"11085824\"] \n  3 -> 27 [size =\"11085824\"]\n  3 -> 36 [size =\"11085824\"]\n  3 -> 37 [size =\"11085824\"]\n  3 -> 38 [size =\"11085824\"]\n  3 -> 39 [size =\"11085824\"]\n  3 -> 43 [size =\"11085824\"]\n  3 -> 45 [size =\"11085824\"]\n  3 -> 46 [size =\"11085824\"]\n  3 -> 47 [size =\"11085824\"]\n  4 [size=\"145933653\", alpha=\"0.10\", expect_size=\"43780096\"] \n  4 -> 27 [size =\"43780096\"]\n  4 -> 38 [size =\"43780096\"]\n  4 -> 39 [size =\"43780096\"]\n  4 -> 44 [size =\"43780096\"]\n  4 -> 45 [size =\"43780096\"]\n  4 -> 46 [size =\"43780096\"]\n  4 -> 49 [size =\"43780096\"]\n  4 -> 50 [size =\"43780096\"]\n  5 [size=\"162201600\", alpha=\"0.11\", expect_size=\"48660480\"] \n  5 -> 34 [size =\"48660480\"]\n  5 -> 38 [size =\"48660480\"]\n  5 -> 39 [size =\"48660480\"]\n  5 -> 40 [size =\"48660480\"]\n  5 -> 41 [size =\"48660480\"]\n  5 -> 42 [size =\"48660480\"]\n  5 -> 44 [size =\"48660480\"]\n  5 -> 45 [size =\"48660480\"]\n  5 -> 46 [size =\"48660480\"]\n  5 -> 47 [size =\"48660480\"]\n  5 -> 49 [size =\"48660480\"]\n  5 -> 50 [size =\"48660480\"]\n  6 [size=\"164191573\", alpha=\"0.13\", expect_size=\"49257472\"] \n  6 -> 27 [size =\"49257472\"]\n  6 -> 28 [size =\"49257472\"]\n  6 -> 31 [size =\"49257472\"]\n  6 -> 34 [size =\"49257472\"]\n  6 -> 42 [size =\"49257472\"]\n  6 -> 44 [size =\"49257472\"]\n  6 -> 46 [size =\"49257472\"]\n  6 -> 49 [size =\"49257472\"]\n  6 -> 50 [size =\"49257472\"]\n  7 [size=\"113377280\", alpha=\"0.11\", expect_size=\"34013184\"] \n  7 -> 25 [size =\"34013184\"]\n  7 -> 27 [size =\"34013184\"]\n  7 -> 32 [size =\"34013184\"]\n  7 -> 34 [size =\"34013184\"]\n  7 -> 35 [size =\"34013184\"]\n  7 -> 36 [size =\"34013184\"]\n  7 -> 37 [size =\"34013184\"]\n  7 -> 38 [size =\"34013184\"]\n  7 -> 39 [size =\"34013184\"]\n  7 -> 40 [size =\"34013184\"]\n  7 -> 50 [size =\"34013184\"]\n  8 [size=\"82309120\", alpha=\"0.19\", expect_size=\"24692736\"] \n  8 -> 27 [size =\"24692736\"]\n  8 -> 29 [size =\"24692736\"]\n  8 -> 31 [size =\"24692736\"]\n  8 -> 37 [size =\"24692736\"]\n  8 -> 39 [size =\"24692736\"]\n  8 -> 47 [size =\"24692736\"]\n  8 -> 50 [size =\"24692736\"]\n  9 [size=\"159170560\", alpha=\"0.09\", expect_size=\"47751168\"] \n  9 -> 25 [size =\"47751168\"]\n  9 -> 28 [size =\"47751168\"]\n  9 -> 29 [size =\"47751168\"]\n  9 -> 31 [size =\"47751168\"]\n  9 -> 36 [size =\"47751168\"]\n  9 -> 37 [size =\"47751168\"]\n  9 -> 39 [size =\"47751168\"]\n  9 -> 45 [size =\"47751168\"]\n  9 -> 48 [size =\"47751168\"]\n  9 -> 49 [size =\"47751168\"]\n  9 -> 50 [size =\"47751168\"]\n  10 [size=\"70707200\", alpha=\"0.11\", expect_size=\"21212160\"] \n  10 -> 25 [size =\"21212160\"]\n  10 -> 29 [size =\"21212160\"]\n  10 -> 29 [size =\"21212160\"]\n  10 -> 33 [size =\"21212160\"]\n  10 -> 41 [size =\"21212160\"]\n  10 -> 47 [size =\"21212160\"]\n  10 -> 49 [size =\"21212160\"]\n  10 -> 50 [size =\"21212160\"]\n  11 [size=\"112254293\", alpha=\"0.04\", expect_size=\"33676288\"] \n  11 -> 25 [size =\"33676288\"]\n  11 -> 26 [size =\"33676288\"]\n  11 -> 27 [size =\"33676288\"]\n  11 -> 28 [size =\"33676288\"]\n  11 -> 29 [size =\"33676288\"]\n  11 -> 32 [size =\"33676288\"]\n  11 -> 43 [size =\"33676288\"]\n  11 -> 49 [size =\"33676288\"]\n  12 [size=\"172721493\", alpha=\"0.04\", expect_size=\"51816448\"] \n  12 -> 25 [size =\"51816448\"]\n  12 -> 37 [size =\"51816448\"]\n  12 -> 46 [size =\"51816448\"]\n  13 [size=\"47633067\", alpha=\"0.08\", expect_size=\"14289920\"] \n  13 -> 25 [size =\"14289920\"]\n  13 -> 36 [size =\"14289920\"]\n  13 -> 37 [size =\"14289920\"]\n  13 -> 41 [size =\"14289920\"]\n  13 -> 42 [size =\"14289920\"]\n  13 -> 45 [size =\"14289920\"]\n  13 -> 46 [size =\"14289920\"]\n  13 -> 49 [size =\"14289920\"]\n  13 -> 50 [size =\"14289920\"]\n  14 [size=\"53217280\", alpha=\"0.19\", expect_size=\"15965184\"] \n  14 -> 31 [size =\"15965184\"]\n  14 -> 33 [size =\"15965184\"]\n  14 -> 34 [size =\"15965184\"]\n  14 -> 36 [size =\"15965184\"]\n  14 -> 37 [size =\"15965184\"]\n  14 -> 38 [size =\"15965184\"]\n  14 -> 43 [size =\"15965184\"]\n  14 -> 44 [size =\"15965184\"]\n  14 -> 46 [size =\"15965184\"]\n  14 -> 47 [size =\"15965184\"]\n  14 -> 49 [size =\"15965184\"]\n  14 -> 50 [size =\"15965184\"]\n  15 [size=\"129993387\", alpha=\"0.18\", expect_size=\"38998016\"] \n  15 -> 34 [size =\"38998016\"]\n  15 -> 37 [size =\"38998016\"]\n  15 -> 38 [size =\"38998016\"]\n  15 -> 39 [size =\"38998016\"]\n  15 -> 45 [size =\"38998016\"]\n  15 -> 46 [size =\"38998016\"]\n  15 -> 47 [size =\"38998016\"]\n  15 -> 49 [size =\"38998016\"]\n  15 -> 50 [size =\"38998016\"]\n  16 [size=\"56726187\", alpha=\"0.18\", expect_size=\"17017856\"] \n  16 -> 37 [size =\"17017856\"]\n  16 -> 37 [size =\"17017856\"]\n  16 -> 38 [size =\"17017856\"]\n  16 -> 42 [size =\"17017856\"]\n  16 -> 43 [size =\"17017856\"]\n  16 -> 46 [size =\"17017856\"]\n  16 -> 47 [size =\"17017856\"]\n  16 -> 48 [size =\"17017856\"]\n  16 -> 49 [size =\"17017856\"]\n  16 -> 50 [size =\"17017856\"]\n  17 [size=\"162478080\", alpha=\"0.14\", expect_size=\"48743424\"] \n  17 -> 28 [size =\"48743424\"]\n  17 -> 34 [size =\"48743424\"]\n  17 -> 37 [size =\"48743424\"]\n  17 -> 38 [size =\"48743424\"]\n  17 -> 39 [size =\"48743424\"]\n  17 -> 40 [size =\"48743424\"]\n  17 -> 42 [size =\"48743424\"]\n  17 -> 43 [size =\"48743424\"]\n  17 -> 44 [size =\"48743424\"]\n  17 -> 46 [size =\"48743424\"]\n  17 -> 47 [size =\"48743424\"]\n  17 -> 49 [size =\"48743424\"]\n  17 -> 50 [size =\"48743424\"]\n  18 [size=\"88558933\", alpha=\"0.05\", expect_size=\"26567680\"] \n  18 -> 28 [size =\"26567680\"]\n  18 -> 32 [size =\"26567680\"]\n  18 -> 34 [size =\"26567680\"]\n  18 -> 37 [size =\"26567680\"]\n  18 -> 38 [size =\"26567680\"]\n  18 -> 39 [size =\"26567680\"]\n  18 -> 42 [size =\"26567680\"]\n  19 [size=\"76871680\", alpha=\"0.07\", expect_size=\"23061504\"] \n  19 -> 27 [size =\"23061504\"]\n  19 -> 28 [size =\"23061504\"]\n  19 -> 29 [size =\"23061504\"]\n  19 -> 34 [size =\"23061504\"]\n  19 -> 35 [size =\"23061504\"]\n  19 -> 39 [size =\"23061504\"]\n  19 -> 40 [size =\"23061504\"]\n  19 -> 42 [size =\"23061504\"]\n  19 -> 50 [size =\"23061504\"]\n  20 [size=\"151333547\", alpha=\"0.18\", expect_size=\"45400064\"] \n  20 -> 32 [size =\"45400064\"]\n  20 -> 34 [size =\"45400064\"]\n  20 -> 35 [size =\"45400064\"]\n  20 -> 37 [size =\"45400064\"]\n  20 -> 39 [size =\"45400064\"]\n  20 -> 41 [size =\"45400064\"]\n  20 -> 47 [size =\"45400064\"]\n  20 -> 48 [size =\"45400064\"]\n  21 [size=\"80302080\", alpha=\"0.11\", expect_size=\"24090624\"] \n  21 -> 27 [size =\"24090624\"]\n  21 -> 28 [size =\"24090624\"]\n  21 -> 31 [size =\"24090624\"]\n  21 -> 34 [size =\"24090624\"]\n  21 -> 38 [size =\"24090624\"]\n  21 -> 39 [size =\"24090624\"]\n  21 -> 44 [size =\"24090624\"]\n  21 -> 50 [size =\"24090624\"]\n  22 [size=\"111616000\", alpha=\"0.02\", expect_size=\"33484800\"] \n  22 -> 27 [size =\"33484800\"]\n  22 -> 30 [size =\"33484800\"]\n  22 -> 31 [size =\"33484800\"]\n  22 -> 34 [size =\"33484800\"]\n  22 -> 36 [size =\"33484800\"]\n  22 -> 38 [size =\"33484800\"]\n  22 -> 39 [size =\"33484800\"]\n  22 -> 40 [size =\"33484800\"]\n  22 -> 41 [size =\"33484800\"]\n  22 -> 44 [size =\"33484800\"]\n  22 -> 45 [size =\"33484800\"]\n  22 -> 48 [size =\"33484800\"]\n  23 [size=\"141581653\", alpha=\"0.17\", expect_size=\"42474496\"] \n  23 -> 29 [size =\"42474496\"]\n  23 -> 30 [size =\"42474496\"]\n  23 -> 31 [size =\"42474496\"]\n  23 -> 36 [size =\"42474496\"]\n  23 -> 38 [size =\"42474496\"]\n  23 -> 41 [size =\"42474496\"]\n  23 -> 42 [size =\"42474496\"]\n  23 -> 44 [size =\"42474496\"]\n  23 -> 45 [size =\"42474496\"]\n  23 -> 46 [size =\"42474496\"]\n  23 -> 49 [size =\"42474496\"]\n  24 [size=\"49179307\", alpha=\"0.07\", expect_size=\"14753792\"] \n  24 -> 29 [size =\"14753792\"]\n  24 -> 39 [size =\"14753792\"]\n  24 -> 41 [size =\"14753792\"]\n  24 -> 44 [size =\"14753792\"]\n  24 -> 45 [size =\"14753792\"]\n  24 -> 48 [size =\"14753792\"]\n  24 -> 49 [size =\"14753792\"]\n  25 [size=\"42489173\", alpha=\"0.16\", expect_size=\"12746752\"] \n  26 [size=\"23101440\", alpha=\"0.04\", expect_size=\"6930432\"] \n  27 [size=\"164553387\", alpha=\"0.04\", expect_size=\"49366016\"] \n  28 [size=\"118708907\", alpha=\"0.12\", expect_size=\"35612672\"] \n  29 [size=\"154122240\", alpha=\"0.18\", expect_size=\"46236672\"] \n  30 [size=\"51657387\", alpha=\"0.11\", expect_size=\"15497216\"] \n  31 [size=\"35747840\", alpha=\"0.16\", expect_size=\"10724352\"] \n  32 [size=\"118568960\", alpha=\"0.00\", expect_size=\"35570688\"] \n  33 [size=\"136830293\", alpha=\"0.09\", expect_size=\"41049088\"] \n  34 [size=\"110011733\", alpha=\"0.02\", expect_size=\"33003520\"] \n  35 [size=\"166567253\", alpha=\"0.09\", expect_size=\"49970176\"] \n  36 [size=\"136652800\", alpha=\"0.02\", expect_size=\"40995840\"] \n  37 [size=\"166987093\", alpha=\"0.13\", expect_size=\"50096128\"] \n  38 [size=\"38901760\", alpha=\"0.12\", expect_size=\"11670528\"] \n  39 [size=\"131805867\", alpha=\"0.20\", expect_size=\"39541760\"] \n  40 [size=\"115534507\", alpha=\"0.04\", expect_size=\"34660352\"] \n  41 [size=\"43318613\", alpha=\"0.17\", expect_size=\"12995584\"] \n  42 [size=\"167229440\", alpha=\"0.01\", expect_size=\"50168832\"] \n  43 [size=\"170649600\", alpha=\"0.01\", expect_size=\"51194880\"] \n  44 [size=\"83739307\", alpha=\"0.05\", expect_size=\"25121792\"] \n  45 [size=\"99525973\", alpha=\"0.13\", expect_size=\"29857792\"] \n  46 [size=\"173247147\", alpha=\"0.01\", expect_size=\"51974144\"] \n  47 [size=\"29576533\", alpha=\"0.07\", expect_size=\"8872960\"] \n  48 [size=\"128092160\", alpha=\"0.07\", expect_size=\"38427648\"] \n  49 [size=\"68020907\", alpha=\"0.04\", expect_size=\"20406272\"] \n  50 [size=\"66044587\", alpha=\"0.06\", expect_size=\"19813376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.868.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81879040\", alpha=\"0.14\", expect_size=\"40939520\"] \n  1 -> 20 [size =\"40939520\"]\n  1 -> 22 [size =\"40939520\"]\n  1 -> 24 [size =\"40939520\"]\n  1 -> 26 [size =\"40939520\"]\n  1 -> 27 [size =\"40939520\"]\n  1 -> 28 [size =\"40939520\"]\n  1 -> 29 [size =\"40939520\"]\n  1 -> 31 [size =\"40939520\"]\n  2 [size=\"85932032\", alpha=\"0.08\", expect_size=\"42966016\"] \n  2 -> 26 [size =\"42966016\"]\n  2 -> 27 [size =\"42966016\"]\n  2 -> 28 [size =\"42966016\"]\n  2 -> 31 [size =\"42966016\"]\n  3 [size=\"16150528\", alpha=\"0.07\", expect_size=\"8075264\"] \n  3 -> 24 [size =\"8075264\"]\n  3 -> 26 [size =\"8075264\"]\n  3 -> 30 [size =\"8075264\"]\n  3 -> 31 [size =\"8075264\"]\n  4 [size=\"66953216\", alpha=\"0.17\", expect_size=\"33476608\"] \n  4 -> 18 [size =\"33476608\"]\n  4 -> 20 [size =\"33476608\"]\n  4 -> 23 [size =\"33476608\"]\n  4 -> 24 [size =\"33476608\"]\n  4 -> 27 [size =\"33476608\"]\n  4 -> 31 [size =\"33476608\"]\n  5 [size=\"95942656\", alpha=\"0.09\", expect_size=\"47971328\"] \n  5 -> 20 [size =\"47971328\"]\n  5 -> 22 [size =\"47971328\"]\n  5 -> 23 [size =\"47971328\"]\n  5 -> 27 [size =\"47971328\"]\n  5 -> 29 [size =\"47971328\"]\n  5 -> 31 [size =\"47971328\"]\n  5 -> 32 [size =\"47971328\"]\n  6 [size=\"11046912\", alpha=\"0.09\", expect_size=\"5523456\"] \n  6 -> 22 [size =\"5523456\"]\n  6 -> 24 [size =\"5523456\"]\n  6 -> 26 [size =\"5523456\"]\n  6 -> 27 [size =\"5523456\"]\n  6 -> 28 [size =\"5523456\"]\n  6 -> 29 [size =\"5523456\"]\n  6 -> 30 [size =\"5523456\"]\n  6 -> 31 [size =\"5523456\"]\n  6 -> 32 [size =\"5523456\"]\n  7 [size=\"99942400\", alpha=\"0.10\", expect_size=\"49971200\"] \n  7 -> 20 [size =\"49971200\"]\n  7 -> 24 [size =\"49971200\"]\n  7 -> 27 [size =\"49971200\"]\n  7 -> 28 [size =\"49971200\"]\n  7 -> 29 [size =\"49971200\"]\n  7 -> 31 [size =\"49971200\"]\n  8 [size=\"48183296\", alpha=\"0.11\", expect_size=\"24091648\"] \n  8 -> 24 [size =\"24091648\"]\n  8 -> 31 [size =\"24091648\"]\n  9 [size=\"74405888\", alpha=\"0.06\", expect_size=\"37202944\"] \n  9 -> 20 [size =\"37202944\"]\n  9 -> 22 [size =\"37202944\"]\n  9 -> 23 [size =\"37202944\"]\n  9 -> 24 [size =\"37202944\"]\n  9 -> 29 [size =\"37202944\"]\n  9 -> 31 [size =\"37202944\"]\n  10 [size=\"55181312\", alpha=\"0.10\", expect_size=\"27590656\"] \n  10 -> 20 [size =\"27590656\"]\n  10 -> 21 [size =\"27590656\"]\n  10 -> 22 [size =\"27590656\"]\n  10 -> 24 [size =\"27590656\"]\n  10 -> 25 [size =\"27590656\"]\n  10 -> 26 [size =\"27590656\"]\n  10 -> 28 [size =\"27590656\"]\n  10 -> 31 [size =\"27590656\"]\n  11 [size=\"83179520\", alpha=\"0.08\", expect_size=\"41589760\"] \n  11 -> 22 [size =\"41589760\"]\n  11 -> 24 [size =\"41589760\"]\n  11 -> 26 [size =\"41589760\"]\n  11 -> 28 [size =\"41589760\"]\n  11 -> 29 [size =\"41589760\"]\n  11 -> 30 [size =\"41589760\"]\n  11 -> 31 [size =\"41589760\"]\n  11 -> 31 [size =\"41589760\"]\n  12 [size=\"56815616\", alpha=\"0.03\", expect_size=\"28407808\"] \n  12 -> 19 [size =\"28407808\"]\n  12 -> 21 [size =\"28407808\"]\n  12 -> 22 [size =\"28407808\"]\n  12 -> 24 [size =\"28407808\"]\n  12 -> 28 [size =\"28407808\"]\n  13 [size=\"94593024\", alpha=\"0.06\", expect_size=\"47296512\"] \n  13 -> 22 [size =\"47296512\"]\n  13 -> 24 [size =\"47296512\"]\n  13 -> 28 [size =\"47296512\"]\n  13 -> 29 [size =\"47296512\"]\n  13 -> 31 [size =\"47296512\"]\n  14 [size=\"34064384\", alpha=\"0.05\", expect_size=\"17032192\"] \n  14 -> 20 [size =\"17032192\"]\n  14 -> 21 [size =\"17032192\"]\n  14 -> 22 [size =\"17032192\"]\n  14 -> 24 [size =\"17032192\"]\n  14 -> 27 [size =\"17032192\"]\n  14 -> 29 [size =\"17032192\"]\n  14 -> 31 [size =\"17032192\"]\n  15 [size=\"20119552\", alpha=\"0.04\", expect_size=\"10059776\"] \n  15 -> 19 [size =\"10059776\"]\n  15 -> 20 [size =\"10059776\"]\n  15 -> 21 [size =\"10059776\"]\n  15 -> 22 [size =\"10059776\"]\n  15 -> 23 [size =\"10059776\"]\n  15 -> 24 [size =\"10059776\"]\n  15 -> 27 [size =\"10059776\"]\n  16 [size=\"60309504\", alpha=\"0.20\", expect_size=\"30154752\"] \n  16 -> 21 [size =\"30154752\"]\n  16 -> 22 [size =\"30154752\"]\n  16 -> 26 [size =\"30154752\"]\n  16 -> 28 [size =\"30154752\"]\n  16 -> 30 [size =\"30154752\"]\n  17 [size=\"101668864\", alpha=\"0.13\", expect_size=\"50834432\"] \n  17 -> 22 [size =\"50834432\"]\n  17 -> 25 [size =\"50834432\"]\n  17 -> 28 [size =\"50834432\"]\n  17 -> 32 [size =\"50834432\"]\n  18 [size=\"54566912\", alpha=\"0.10\", expect_size=\"27283456\"] \n  18 -> 35 [size =\"27283456\"]\n  18 -> 36 [size =\"27283456\"]\n  18 -> 39 [size =\"27283456\"]\n  18 -> 40 [size =\"27283456\"]\n  18 -> 44 [size =\"27283456\"]\n  19 [size=\"11595776\", alpha=\"0.10\", expect_size=\"5797888\"] \n  19 -> 35 [size =\"5797888\"]\n  19 -> 36 [size =\"5797888\"]\n  19 -> 39 [size =\"5797888\"]\n  19 -> 40 [size =\"5797888\"]\n  19 -> 42 [size =\"5797888\"]\n  19 -> 43 [size =\"5797888\"]\n  20 [size=\"41670656\", alpha=\"0.01\", expect_size=\"20835328\"] \n  20 -> 33 [size =\"20835328\"]\n  20 -> 36 [size =\"20835328\"]\n  20 -> 37 [size =\"20835328\"]\n  20 -> 39 [size =\"20835328\"]\n  20 -> 40 [size =\"20835328\"]\n  20 -> 44 [size =\"20835328\"]\n  21 [size=\"89655296\", alpha=\"0.08\", expect_size=\"44827648\"] \n  21 -> 33 [size =\"44827648\"]\n  21 -> 36 [size =\"44827648\"]\n  21 -> 37 [size =\"44827648\"]\n  21 -> 40 [size =\"44827648\"]\n  21 -> 40 [size =\"44827648\"]\n  21 -> 42 [size =\"44827648\"]\n  22 [size=\"34926592\", alpha=\"0.11\", expect_size=\"17463296\"] \n  22 -> 33 [size =\"17463296\"]\n  22 -> 34 [size =\"17463296\"]\n  22 -> 36 [size =\"17463296\"]\n  22 -> 38 [size =\"17463296\"]\n  22 -> 40 [size =\"17463296\"]\n  22 -> 43 [size =\"17463296\"]\n  23 [size=\"50436096\", alpha=\"0.15\", expect_size=\"25218048\"] \n  23 -> 35 [size =\"25218048\"]\n  23 -> 36 [size =\"25218048\"]\n  23 -> 40 [size =\"25218048\"]\n  23 -> 42 [size =\"25218048\"]\n  23 -> 43 [size =\"25218048\"]\n  24 [size=\"80240640\", alpha=\"0.11\", expect_size=\"40120320\"] \n  24 -> 33 [size =\"40120320\"]\n  24 -> 36 [size =\"40120320\"]\n  24 -> 37 [size =\"40120320\"]\n  24 -> 39 [size =\"40120320\"]\n  24 -> 43 [size =\"40120320\"]\n  24 -> 44 [size =\"40120320\"]\n  25 [size=\"102107136\", alpha=\"0.05\", expect_size=\"51053568\"] \n  25 -> 33 [size =\"51053568\"]\n  25 -> 34 [size =\"51053568\"]\n  25 -> 38 [size =\"51053568\"]\n  25 -> 39 [size =\"51053568\"]\n  25 -> 44 [size =\"51053568\"]\n  25 -> 44 [size =\"51053568\"]\n  26 [size=\"27314176\", alpha=\"0.19\", expect_size=\"13657088\"] \n  26 -> 33 [size =\"13657088\"]\n  26 -> 34 [size =\"13657088\"]\n  26 -> 38 [size =\"13657088\"]\n  26 -> 40 [size =\"13657088\"]\n  26 -> 42 [size =\"13657088\"]\n  26 -> 44 [size =\"13657088\"]\n  27 [size=\"25274368\", alpha=\"0.12\", expect_size=\"12637184\"] \n  27 -> 33 [size =\"12637184\"]\n  27 -> 36 [size =\"12637184\"]\n  27 -> 37 [size =\"12637184\"]\n  27 -> 39 [size =\"12637184\"]\n  27 -> 40 [size =\"12637184\"]\n  27 -> 42 [size =\"12637184\"]\n  28 [size=\"86771712\", alpha=\"0.14\", expect_size=\"43385856\"] \n  28 -> 33 [size =\"43385856\"]\n  28 -> 36 [size =\"43385856\"]\n  28 -> 37 [size =\"43385856\"]\n  28 -> 38 [size =\"43385856\"]\n  28 -> 41 [size =\"43385856\"]\n  28 -> 42 [size =\"43385856\"]\n  28 -> 43 [size =\"43385856\"]\n  28 -> 44 [size =\"43385856\"]\n  29 [size=\"38971392\", alpha=\"0.08\", expect_size=\"19485696\"] \n  29 -> 33 [size =\"19485696\"]\n  29 -> 36 [size =\"19485696\"]\n  29 -> 37 [size =\"19485696\"]\n  29 -> 38 [size =\"19485696\"]\n  29 -> 41 [size =\"19485696\"]\n  29 -> 43 [size =\"19485696\"]\n  30 [size=\"84656128\", alpha=\"0.12\", expect_size=\"42328064\"] \n  30 -> 33 [size =\"42328064\"]\n  30 -> 36 [size =\"42328064\"]\n  30 -> 38 [size =\"42328064\"]\n  31 [size=\"91109376\", alpha=\"0.12\", expect_size=\"45554688\"] \n  31 -> 34 [size =\"45554688\"]\n  31 -> 36 [size =\"45554688\"]\n  31 -> 38 [size =\"45554688\"]\n  31 -> 42 [size =\"45554688\"]\n  31 -> 43 [size =\"45554688\"]\n  32 [size=\"35356672\", alpha=\"0.01\", expect_size=\"17678336\"] \n  32 -> 33 [size =\"17678336\"]\n  32 -> 36 [size =\"17678336\"]\n  32 -> 37 [size =\"17678336\"]\n  32 -> 38 [size =\"17678336\"]\n  32 -> 40 [size =\"17678336\"]\n  32 -> 42 [size =\"17678336\"]\n  32 -> 43 [size =\"17678336\"]\n  33 [size=\"87218176\", alpha=\"0.09\", expect_size=\"43609088\"] \n  33 -> 46 [size =\"43609088\"]\n  33 -> 49 [size =\"43609088\"]\n  34 [size=\"63614976\", alpha=\"0.01\", expect_size=\"31807488\"] \n  34 -> 47 [size =\"31807488\"]\n  34 -> 49 [size =\"31807488\"]\n  35 [size=\"21014528\", alpha=\"0.15\", expect_size=\"10507264\"] \n  35 -> 45 [size =\"10507264\"]\n  35 -> 47 [size =\"10507264\"]\n  35 -> 49 [size =\"10507264\"]\n  36 [size=\"44875776\", alpha=\"0.20\", expect_size=\"22437888\"] \n  36 -> 45 [size =\"22437888\"]\n  36 -> 49 [size =\"22437888\"]\n  36 -> 50 [size =\"22437888\"]\n  37 [size=\"41385984\", alpha=\"0.04\", expect_size=\"20692992\"] \n  37 -> 45 [size =\"20692992\"]\n  37 -> 46 [size =\"20692992\"]\n  37 -> 49 [size =\"20692992\"]\n  38 [size=\"100007936\", alpha=\"0.18\", expect_size=\"50003968\"] \n  38 -> 46 [size =\"50003968\"]\n  39 [size=\"69693440\", alpha=\"0.11\", expect_size=\"34846720\"] \n  39 -> 46 [size =\"34846720\"]\n  40 [size=\"14366720\", alpha=\"0.12\", expect_size=\"7183360\"] \n  40 -> 46 [size =\"7183360\"]\n  40 -> 48 [size =\"7183360\"]\n  41 [size=\"73093120\", alpha=\"0.09\", expect_size=\"36546560\"] \n  41 -> 46 [size =\"36546560\"]\n  41 -> 48 [size =\"36546560\"]\n  42 [size=\"35452928\", alpha=\"0.11\", expect_size=\"17726464\"] \n  42 -> 46 [size =\"17726464\"]\n  42 -> 48 [size =\"17726464\"]\n  42 -> 49 [size =\"17726464\"]\n  43 [size=\"42149888\", alpha=\"0.02\", expect_size=\"21074944\"] \n  43 -> 46 [size =\"21074944\"]\n  44 [size=\"82919424\", alpha=\"0.07\", expect_size=\"41459712\"] \n  44 -> 46 [size =\"41459712\"]\n  45 [size=\"86966272\", alpha=\"0.12\", expect_size=\"43483136\"] \n  46 [size=\"63928320\", alpha=\"0.01\", expect_size=\"31964160\"] \n  47 [size=\"63627264\", alpha=\"0.12\", expect_size=\"31813632\"] \n  48 [size=\"82876416\", alpha=\"0.00\", expect_size=\"41438208\"] \n  49 [size=\"71387136\", alpha=\"0.14\", expect_size=\"35693568\"] \n  50 [size=\"30271488\", alpha=\"0.04\", expect_size=\"15135744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.869.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113269760\", alpha=\"0.01\", expect_size=\"45307904\"] \n  1 -> 7 [size =\"45307904\"]\n  1 -> 8 [size =\"45307904\"]\n  1 -> 9 [size =\"45307904\"]\n  1 -> 10 [size =\"45307904\"]\n  1 -> 11 [size =\"45307904\"]\n  1 -> 13 [size =\"45307904\"]\n  2 [size=\"127303680\", alpha=\"0.04\", expect_size=\"50921472\"] \n  2 -> 7 [size =\"50921472\"]\n  2 -> 8 [size =\"50921472\"]\n  2 -> 12 [size =\"50921472\"]\n  3 [size=\"59205120\", alpha=\"0.15\", expect_size=\"23682048\"] \n  3 -> 8 [size =\"23682048\"]\n  3 -> 11 [size =\"23682048\"]\n  3 -> 13 [size =\"23682048\"]\n  4 [size=\"71449600\", alpha=\"0.16\", expect_size=\"28579840\"] \n  4 -> 9 [size =\"28579840\"]\n  4 -> 13 [size =\"28579840\"]\n  5 [size=\"119790080\", alpha=\"0.07\", expect_size=\"47916032\"] \n  5 -> 7 [size =\"47916032\"]\n  5 -> 9 [size =\"47916032\"]\n  5 -> 12 [size =\"47916032\"]\n  6 [size=\"60569600\", alpha=\"0.17\", expect_size=\"24227840\"] \n  6 -> 12 [size =\"24227840\"]\n  7 [size=\"42129920\", alpha=\"0.07\", expect_size=\"16851968\"] \n  7 -> 15 [size =\"16851968\"]\n  7 -> 19 [size =\"16851968\"]\n  8 [size=\"24934400\", alpha=\"0.07\", expect_size=\"9973760\"] \n  8 -> 19 [size =\"9973760\"]\n  9 [size=\"15114240\", alpha=\"0.16\", expect_size=\"6045696\"] \n  9 -> 14 [size =\"6045696\"]\n  9 -> 16 [size =\"6045696\"]\n  9 -> 17 [size =\"6045696\"]\n  9 -> 19 [size =\"6045696\"]\n  9 -> 20 [size =\"6045696\"]\n  10 [size=\"29365760\", alpha=\"0.14\", expect_size=\"11746304\"] \n  10 -> 16 [size =\"11746304\"]\n  10 -> 17 [size =\"11746304\"]\n  10 -> 18 [size =\"11746304\"]\n  10 -> 20 [size =\"11746304\"]\n  11 [size=\"74782720\", alpha=\"0.06\", expect_size=\"29913088\"] \n  11 -> 17 [size =\"29913088\"]\n  12 [size=\"83453440\", alpha=\"0.19\", expect_size=\"33381376\"] \n  12 -> 14 [size =\"33381376\"]\n  12 -> 16 [size =\"33381376\"]\n  13 [size=\"106490880\", alpha=\"0.14\", expect_size=\"42596352\"] \n  13 -> 17 [size =\"42596352\"]\n  13 -> 20 [size =\"42596352\"]\n  14 [size=\"78264320\", alpha=\"0.10\", expect_size=\"31305728\"] \n  14 -> 22 [size =\"31305728\"]\n  14 -> 24 [size =\"31305728\"]\n  14 -> 25 [size =\"31305728\"]\n  14 -> 26 [size =\"31305728\"]\n  15 [size=\"57018880\", alpha=\"0.01\", expect_size=\"22807552\"] \n  15 -> 23 [size =\"22807552\"]\n  15 -> 25 [size =\"22807552\"]\n  16 [size=\"97328640\", alpha=\"0.19\", expect_size=\"38931456\"] \n  16 -> 21 [size =\"38931456\"]\n  16 -> 25 [size =\"38931456\"]\n  16 -> 26 [size =\"38931456\"]\n  17 [size=\"78883840\", alpha=\"0.18\", expect_size=\"31553536\"] \n  17 -> 24 [size =\"31553536\"]\n  17 -> 26 [size =\"31553536\"]\n  18 [size=\"119549440\", alpha=\"0.08\", expect_size=\"47819776\"] \n  19 [size=\"43325440\", alpha=\"0.15\", expect_size=\"17330176\"] \n  19 -> 22 [size =\"17330176\"]\n  19 -> 26 [size =\"17330176\"]\n  20 [size=\"18068480\", alpha=\"0.18\", expect_size=\"7227392\"] \n  20 -> 24 [size =\"7227392\"]\n  21 [size=\"103324160\", alpha=\"0.18\", expect_size=\"41329664\"] \n  21 -> 29 [size =\"41329664\"]\n  21 -> 30 [size =\"41329664\"]\n  21 -> 31 [size =\"41329664\"]\n  22 [size=\"19015680\", alpha=\"0.18\", expect_size=\"7606272\"] \n  22 -> 27 [size =\"7606272\"]\n  23 [size=\"129664000\", alpha=\"0.05\", expect_size=\"51865600\"] \n  23 -> 27 [size =\"51865600\"]\n  23 -> 28 [size =\"51865600\"]\n  23 -> 29 [size =\"51865600\"]\n  23 -> 30 [size =\"51865600\"]\n  23 -> 31 [size =\"51865600\"]\n  24 [size=\"94184960\", alpha=\"0.03\", expect_size=\"37673984\"] \n  24 -> 27 [size =\"37673984\"]\n  24 -> 29 [size =\"37673984\"]\n  24 -> 30 [size =\"37673984\"]\n  24 -> 31 [size =\"37673984\"]\n  24 -> 32 [size =\"37673984\"]\n  25 [size=\"35125760\", alpha=\"0.18\", expect_size=\"14050304\"] \n  25 -> 28 [size =\"14050304\"]\n  25 -> 31 [size =\"14050304\"]\n  26 [size=\"38842880\", alpha=\"0.02\", expect_size=\"15537152\"] \n  26 -> 29 [size =\"15537152\"]\n  26 -> 32 [size =\"15537152\"]\n  27 [size=\"35811840\", alpha=\"0.10\", expect_size=\"14324736\"] \n  27 -> 33 [size =\"14324736\"]\n  28 [size=\"22760960\", alpha=\"0.00\", expect_size=\"9104384\"] \n  28 -> 33 [size =\"9104384\"]\n  28 -> 36 [size =\"9104384\"]\n  28 -> 37 [size =\"9104384\"]\n  28 -> 38 [size =\"9104384\"]\n  29 [size=\"71795200\", alpha=\"0.11\", expect_size=\"28718080\"] \n  29 -> 33 [size =\"28718080\"]\n  29 -> 38 [size =\"28718080\"]\n  30 [size=\"40238080\", alpha=\"0.05\", expect_size=\"16095232\"] \n  30 -> 34 [size =\"16095232\"]\n  30 -> 38 [size =\"16095232\"]\n  31 [size=\"28116480\", alpha=\"0.09\", expect_size=\"11246592\"] \n  31 -> 34 [size =\"11246592\"]\n  31 -> 36 [size =\"11246592\"]\n  31 -> 39 [size =\"11246592\"]\n  32 [size=\"17628160\", alpha=\"0.04\", expect_size=\"7051264\"] \n  32 -> 35 [size =\"7051264\"]\n  32 -> 36 [size =\"7051264\"]\n  32 -> 39 [size =\"7051264\"]\n  33 [size=\"122967040\", alpha=\"0.16\", expect_size=\"49186816\"] \n  33 -> 40 [size =\"49186816\"]\n  33 -> 45 [size =\"49186816\"]\n  33 -> 46 [size =\"49186816\"]\n  34 [size=\"36341760\", alpha=\"0.19\", expect_size=\"14536704\"] \n  34 -> 40 [size =\"14536704\"]\n  34 -> 41 [size =\"14536704\"]\n  34 -> 42 [size =\"14536704\"]\n  34 -> 44 [size =\"14536704\"]\n  35 [size=\"52019200\", alpha=\"0.09\", expect_size=\"20807680\"] \n  35 -> 42 [size =\"20807680\"]\n  35 -> 43 [size =\"20807680\"]\n  35 -> 46 [size =\"20807680\"]\n  36 [size=\"40760320\", alpha=\"0.14\", expect_size=\"16304128\"] \n  36 -> 44 [size =\"16304128\"]\n  36 -> 45 [size =\"16304128\"]\n  37 [size=\"50022400\", alpha=\"0.09\", expect_size=\"20008960\"] \n  37 -> 41 [size =\"20008960\"]\n  37 -> 45 [size =\"20008960\"]\n  37 -> 46 [size =\"20008960\"]\n  38 [size=\"108828160\", alpha=\"0.03\", expect_size=\"43531264\"] \n  38 -> 40 [size =\"43531264\"]\n  39 [size=\"111047680\", alpha=\"0.02\", expect_size=\"44419072\"] \n  39 -> 40 [size =\"44419072\"]\n  39 -> 45 [size =\"44419072\"]\n  40 [size=\"58685440\", alpha=\"0.01\", expect_size=\"23474176\"] \n  41 [size=\"85967360\", alpha=\"0.16\", expect_size=\"34386944\"] \n  41 -> 47 [size =\"34386944\"]\n  41 -> 48 [size =\"34386944\"]\n  41 -> 49 [size =\"34386944\"]\n  42 [size=\"18641920\", alpha=\"0.12\", expect_size=\"7456768\"] \n  42 -> 50 [size =\"7456768\"]\n  43 [size=\"45020160\", alpha=\"0.08\", expect_size=\"18008064\"] \n  43 -> 47 [size =\"18008064\"]\n  44 [size=\"22558720\", alpha=\"0.18\", expect_size=\"9023488\"] \n  44 -> 48 [size =\"9023488\"]\n  44 -> 49 [size =\"9023488\"]\n  45 [size=\"16414720\", alpha=\"0.11\", expect_size=\"6565888\"] \n  45 -> 48 [size =\"6565888\"]\n  45 -> 49 [size =\"6565888\"]\n  46 [size=\"70502400\", alpha=\"0.08\", expect_size=\"28200960\"] \n  46 -> 48 [size =\"28200960\"]\n  46 -> 50 [size =\"28200960\"]\n  47 [size=\"33113600\", alpha=\"0.10\", expect_size=\"13245440\"] \n  48 [size=\"87992320\", alpha=\"0.13\", expect_size=\"35196928\"] \n  49 [size=\"105651200\", alpha=\"0.06\", expect_size=\"42260480\"] \n  50 [size=\"116313600\", alpha=\"0.03\", expect_size=\"46525440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88693760\", alpha=\"0.09\", expect_size=\"35477504\"] \n  1 -> 18 [size =\"35477504\"]\n  1 -> 20 [size =\"35477504\"]\n  1 -> 22 [size =\"35477504\"]\n  1 -> 23 [size =\"35477504\"]\n  1 -> 24 [size =\"35477504\"]\n  1 -> 26 [size =\"35477504\"]\n  1 -> 27 [size =\"35477504\"]\n  1 -> 31 [size =\"35477504\"]\n  2 [size=\"68303360\", alpha=\"0.08\", expect_size=\"27321344\"] \n  2 -> 18 [size =\"27321344\"]\n  2 -> 22 [size =\"27321344\"]\n  2 -> 23 [size =\"27321344\"]\n  2 -> 23 [size =\"27321344\"]\n  2 -> 26 [size =\"27321344\"]\n  2 -> 27 [size =\"27321344\"]\n  2 -> 28 [size =\"27321344\"]\n  2 -> 31 [size =\"27321344\"]\n  3 [size=\"103772160\", alpha=\"0.03\", expect_size=\"41508864\"] \n  3 -> 18 [size =\"41508864\"]\n  3 -> 21 [size =\"41508864\"]\n  3 -> 23 [size =\"41508864\"]\n  3 -> 31 [size =\"41508864\"]\n  3 -> 32 [size =\"41508864\"]\n  4 [size=\"55480320\", alpha=\"0.08\", expect_size=\"22192128\"] \n  4 -> 18 [size =\"22192128\"]\n  4 -> 22 [size =\"22192128\"]\n  4 -> 23 [size =\"22192128\"]\n  4 -> 27 [size =\"22192128\"]\n  4 -> 31 [size =\"22192128\"]\n  4 -> 32 [size =\"22192128\"]\n  5 [size=\"77998080\", alpha=\"0.09\", expect_size=\"31199232\"] \n  5 -> 18 [size =\"31199232\"]\n  5 -> 22 [size =\"31199232\"]\n  5 -> 27 [size =\"31199232\"]\n  5 -> 30 [size =\"31199232\"]\n  5 -> 31 [size =\"31199232\"]\n  5 -> 32 [size =\"31199232\"]\n  6 [size=\"110376960\", alpha=\"0.12\", expect_size=\"44150784\"] \n  6 -> 18 [size =\"44150784\"]\n  6 -> 21 [size =\"44150784\"]\n  6 -> 27 [size =\"44150784\"]\n  6 -> 29 [size =\"44150784\"]\n  6 -> 30 [size =\"44150784\"]\n  6 -> 31 [size =\"44150784\"]\n  6 -> 32 [size =\"44150784\"]\n  7 [size=\"121871360\", alpha=\"0.03\", expect_size=\"48748544\"] \n  7 -> 19 [size =\"48748544\"]\n  7 -> 20 [size =\"48748544\"]\n  7 -> 26 [size =\"48748544\"]\n  7 -> 27 [size =\"48748544\"]\n  7 -> 28 [size =\"48748544\"]\n  7 -> 29 [size =\"48748544\"]\n  7 -> 30 [size =\"48748544\"]\n  7 -> 32 [size =\"48748544\"]\n  8 [size=\"43545600\", alpha=\"0.06\", expect_size=\"17418240\"] \n  8 -> 18 [size =\"17418240\"]\n  8 -> 19 [size =\"17418240\"]\n  8 -> 24 [size =\"17418240\"]\n  8 -> 32 [size =\"17418240\"]\n  9 [size=\"113559040\", alpha=\"0.14\", expect_size=\"45423616\"] \n  9 -> 18 [size =\"45423616\"]\n  9 -> 22 [size =\"45423616\"]\n  9 -> 30 [size =\"45423616\"]\n  9 -> 31 [size =\"45423616\"]\n  9 -> 32 [size =\"45423616\"]\n  10 [size=\"86213120\", alpha=\"0.18\", expect_size=\"34485248\"] \n  10 -> 18 [size =\"34485248\"]\n  10 -> 22 [size =\"34485248\"]\n  10 -> 23 [size =\"34485248\"]\n  10 -> 26 [size =\"34485248\"]\n  10 -> 32 [size =\"34485248\"]\n  11 [size=\"109665280\", alpha=\"0.04\", expect_size=\"43866112\"] \n  11 -> 18 [size =\"43866112\"]\n  11 -> 22 [size =\"43866112\"]\n  11 -> 24 [size =\"43866112\"]\n  11 -> 27 [size =\"43866112\"]\n  11 -> 30 [size =\"43866112\"]\n  11 -> 31 [size =\"43866112\"]\n  12 [size=\"44925440\", alpha=\"0.17\", expect_size=\"17970176\"] \n  12 -> 18 [size =\"17970176\"]\n  12 -> 20 [size =\"17970176\"]\n  12 -> 24 [size =\"17970176\"]\n  12 -> 25 [size =\"17970176\"]\n  12 -> 27 [size =\"17970176\"]\n  12 -> 30 [size =\"17970176\"]\n  12 -> 31 [size =\"17970176\"]\n  12 -> 32 [size =\"17970176\"]\n  13 [size=\"92298240\", alpha=\"0.15\", expect_size=\"36919296\"] \n  13 -> 22 [size =\"36919296\"]\n  13 -> 27 [size =\"36919296\"]\n  13 -> 30 [size =\"36919296\"]\n  13 -> 31 [size =\"36919296\"]\n  14 [size=\"108810240\", alpha=\"0.06\", expect_size=\"43524096\"] \n  14 -> 19 [size =\"43524096\"]\n  14 -> 21 [size =\"43524096\"]\n  14 -> 22 [size =\"43524096\"]\n  14 -> 23 [size =\"43524096\"]\n  15 [size=\"37811200\", alpha=\"0.18\", expect_size=\"15124480\"] \n  15 -> 19 [size =\"15124480\"]\n  15 -> 22 [size =\"15124480\"]\n  15 -> 22 [size =\"15124480\"]\n  15 -> 23 [size =\"15124480\"]\n  16 [size=\"90114560\", alpha=\"0.11\", expect_size=\"36045824\"] \n  16 -> 19 [size =\"36045824\"]\n  16 -> 21 [size =\"36045824\"]\n  16 -> 23 [size =\"36045824\"]\n  16 -> 24 [size =\"36045824\"]\n  16 -> 25 [size =\"36045824\"]\n  16 -> 31 [size =\"36045824\"]\n  16 -> 32 [size =\"36045824\"]\n  17 [size=\"44771840\", alpha=\"0.06\", expect_size=\"17908736\"] \n  17 -> 23 [size =\"17908736\"]\n  17 -> 26 [size =\"17908736\"]\n  17 -> 31 [size =\"17908736\"]\n  17 -> 32 [size =\"17908736\"]\n  18 [size=\"64266240\", alpha=\"0.18\", expect_size=\"25706496\"] \n  18 -> 33 [size =\"25706496\"]\n  18 -> 38 [size =\"25706496\"]\n  18 -> 39 [size =\"25706496\"]\n  18 -> 40 [size =\"25706496\"]\n  19 [size=\"97205760\", alpha=\"0.12\", expect_size=\"38882304\"] \n  19 -> 40 [size =\"38882304\"]\n  19 -> 41 [size =\"38882304\"]\n  19 -> 44 [size =\"38882304\"]\n  20 [size=\"59043840\", alpha=\"0.17\", expect_size=\"23617536\"] \n  20 -> 37 [size =\"23617536\"]\n  20 -> 38 [size =\"23617536\"]\n  20 -> 39 [size =\"23617536\"]\n  20 -> 40 [size =\"23617536\"]\n  20 -> 41 [size =\"23617536\"]\n  20 -> 44 [size =\"23617536\"]\n  21 [size=\"48453120\", alpha=\"0.16\", expect_size=\"19381248\"] \n  21 -> 35 [size =\"19381248\"]\n  21 -> 38 [size =\"19381248\"]\n  21 -> 41 [size =\"19381248\"]\n  21 -> 42 [size =\"19381248\"]\n  22 [size=\"72366080\", alpha=\"0.03\", expect_size=\"28946432\"] \n  22 -> 33 [size =\"28946432\"]\n  22 -> 40 [size =\"28946432\"]\n  22 -> 44 [size =\"28946432\"]\n  23 [size=\"53350400\", alpha=\"0.06\", expect_size=\"21340160\"] \n  23 -> 39 [size =\"21340160\"]\n  23 -> 42 [size =\"21340160\"]\n  23 -> 44 [size =\"21340160\"]\n  24 [size=\"25026560\", alpha=\"0.16\", expect_size=\"10010624\"] \n  24 -> 34 [size =\"10010624\"]\n  24 -> 39 [size =\"10010624\"]\n  24 -> 41 [size =\"10010624\"]\n  25 [size=\"59310080\", alpha=\"0.17\", expect_size=\"23724032\"] \n  25 -> 37 [size =\"23724032\"]\n  25 -> 39 [size =\"23724032\"]\n  25 -> 41 [size =\"23724032\"]\n  25 -> 42 [size =\"23724032\"]\n  25 -> 44 [size =\"23724032\"]\n  26 [size=\"47833600\", alpha=\"0.15\", expect_size=\"19133440\"] \n  26 -> 33 [size =\"19133440\"]\n  26 -> 40 [size =\"19133440\"]\n  26 -> 41 [size =\"19133440\"]\n  26 -> 42 [size =\"19133440\"]\n  27 [size=\"110960640\", alpha=\"0.11\", expect_size=\"44384256\"] \n  27 -> 33 [size =\"44384256\"]\n  27 -> 34 [size =\"44384256\"]\n  27 -> 37 [size =\"44384256\"]\n  27 -> 39 [size =\"44384256\"]\n  27 -> 41 [size =\"44384256\"]\n  27 -> 42 [size =\"44384256\"]\n  28 [size=\"30274560\", alpha=\"0.12\", expect_size=\"12109824\"] \n  28 -> 39 [size =\"12109824\"]\n  28 -> 40 [size =\"12109824\"]\n  28 -> 41 [size =\"12109824\"]\n  28 -> 42 [size =\"12109824\"]\n  29 [size=\"15989760\", alpha=\"0.10\", expect_size=\"6395904\"] \n  29 -> 36 [size =\"6395904\"]\n  29 -> 37 [size =\"6395904\"]\n  29 -> 39 [size =\"6395904\"]\n  29 -> 41 [size =\"6395904\"]\n  29 -> 42 [size =\"6395904\"]\n  30 [size=\"86597120\", alpha=\"0.01\", expect_size=\"34638848\"] \n  30 -> 33 [size =\"34638848\"]\n  30 -> 34 [size =\"34638848\"]\n  30 -> 37 [size =\"34638848\"]\n  30 -> 38 [size =\"34638848\"]\n  30 -> 39 [size =\"34638848\"]\n  30 -> 42 [size =\"34638848\"]\n  31 [size=\"70981120\", alpha=\"0.08\", expect_size=\"28392448\"] \n  31 -> 33 [size =\"28392448\"]\n  31 -> 38 [size =\"28392448\"]\n  31 -> 39 [size =\"28392448\"]\n  31 -> 40 [size =\"28392448\"]\n  31 -> 41 [size =\"28392448\"]\n  31 -> 42 [size =\"28392448\"]\n  31 -> 44 [size =\"28392448\"]\n  32 [size=\"44728320\", alpha=\"0.00\", expect_size=\"17891328\"] \n  32 -> 33 [size =\"17891328\"]\n  32 -> 34 [size =\"17891328\"]\n  32 -> 36 [size =\"17891328\"]\n  32 -> 38 [size =\"17891328\"]\n  32 -> 39 [size =\"17891328\"]\n  32 -> 40 [size =\"17891328\"]\n  32 -> 41 [size =\"17891328\"]\n  32 -> 42 [size =\"17891328\"]\n  32 -> 43 [size =\"17891328\"]\n  32 -> 44 [size =\"17891328\"]\n  33 [size=\"63034880\", alpha=\"0.06\", expect_size=\"25213952\"] \n  33 -> 47 [size =\"25213952\"]\n  33 -> 48 [size =\"25213952\"]\n  33 -> 49 [size =\"25213952\"]\n  34 [size=\"98603520\", alpha=\"0.08\", expect_size=\"39441408\"] \n  34 -> 49 [size =\"39441408\"]\n  34 -> 50 [size =\"39441408\"]\n  35 [size=\"75845120\", alpha=\"0.14\", expect_size=\"30338048\"] \n  35 -> 47 [size =\"30338048\"]\n  35 -> 50 [size =\"30338048\"]\n  36 [size=\"59650560\", alpha=\"0.14\", expect_size=\"23860224\"] \n  36 -> 46 [size =\"23860224\"]\n  36 -> 50 [size =\"23860224\"]\n  37 [size=\"29329920\", alpha=\"0.18\", expect_size=\"11731968\"] \n  37 -> 47 [size =\"11731968\"]\n  37 -> 48 [size =\"11731968\"]\n  37 -> 49 [size =\"11731968\"]\n  38 [size=\"93647360\", alpha=\"0.12\", expect_size=\"37458944\"] \n  38 -> 46 [size =\"37458944\"]\n  38 -> 47 [size =\"37458944\"]\n  38 -> 49 [size =\"37458944\"]\n  39 [size=\"47114240\", alpha=\"0.19\", expect_size=\"18845696\"] \n  39 -> 46 [size =\"18845696\"]\n  39 -> 47 [size =\"18845696\"]\n  39 -> 48 [size =\"18845696\"]\n  39 -> 49 [size =\"18845696\"]\n  40 [size=\"108144640\", alpha=\"0.15\", expect_size=\"43257856\"] \n  40 -> 45 [size =\"43257856\"]\n  40 -> 49 [size =\"43257856\"]\n  41 [size=\"113917440\", alpha=\"0.16\", expect_size=\"45566976\"] \n  41 -> 47 [size =\"45566976\"]\n  41 -> 49 [size =\"45566976\"]\n  41 -> 50 [size =\"45566976\"]\n  42 [size=\"43028480\", alpha=\"0.08\", expect_size=\"17211392\"] \n  42 -> 45 [size =\"17211392\"]\n  42 -> 47 [size =\"17211392\"]\n  42 -> 49 [size =\"17211392\"]\n  42 -> 50 [size =\"17211392\"]\n  43 [size=\"45263360\", alpha=\"0.06\", expect_size=\"18105344\"] \n  43 -> 47 [size =\"18105344\"]\n  43 -> 49 [size =\"18105344\"]\n  43 -> 50 [size =\"18105344\"]\n  43 -> 50 [size =\"18105344\"]\n  44 [size=\"81845760\", alpha=\"0.06\", expect_size=\"32738304\"] \n  44 -> 47 [size =\"32738304\"]\n  44 -> 50 [size =\"32738304\"]\n  45 [size=\"130519040\", alpha=\"0.14\", expect_size=\"52207616\"] \n  46 [size=\"98019840\", alpha=\"0.08\", expect_size=\"39207936\"] \n  47 [size=\"61360640\", alpha=\"0.19\", expect_size=\"24544256\"] \n  48 [size=\"52200960\", alpha=\"0.12\", expect_size=\"20880384\"] \n  49 [size=\"121707520\", alpha=\"0.06\", expect_size=\"48683008\"] \n  50 [size=\"118044160\", alpha=\"0.13\", expect_size=\"47217664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.870.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131990187\", alpha=\"0.16\", expect_size=\"39597056\"] \n  1 -> 7 [size =\"39597056\"]\n  1 -> 8 [size =\"39597056\"]\n  2 [size=\"88357547\", alpha=\"0.17\", expect_size=\"26507264\"] \n  3 [size=\"123630933\", alpha=\"0.10\", expect_size=\"37089280\"] \n  3 -> 10 [size =\"37089280\"]\n  4 [size=\"45765973\", alpha=\"0.11\", expect_size=\"13729792\"] \n  4 -> 6 [size =\"13729792\"]\n  4 -> 7 [size =\"13729792\"]\n  4 -> 9 [size =\"13729792\"]\n  4 -> 10 [size =\"13729792\"]\n  5 [size=\"116998827\", alpha=\"0.13\", expect_size=\"35099648\"] \n  5 -> 7 [size =\"35099648\"]\n  5 -> 8 [size =\"35099648\"]\n  5 -> 10 [size =\"35099648\"]\n  6 [size=\"79220053\", alpha=\"0.03\", expect_size=\"23766016\"] \n  6 -> 12 [size =\"23766016\"]\n  6 -> 15 [size =\"23766016\"]\n  6 -> 16 [size =\"23766016\"]\n  6 -> 17 [size =\"23766016\"]\n  6 -> 18 [size =\"23766016\"]\n  7 [size=\"142503253\", alpha=\"0.04\", expect_size=\"42750976\"] \n  7 -> 15 [size =\"42750976\"]\n  8 [size=\"56026453\", alpha=\"0.09\", expect_size=\"16807936\"] \n  8 -> 12 [size =\"16807936\"]\n  8 -> 13 [size =\"16807936\"]\n  8 -> 14 [size =\"16807936\"]\n  9 [size=\"39246507\", alpha=\"0.09\", expect_size=\"11773952\"] \n  9 -> 11 [size =\"11773952\"]\n  9 -> 13 [size =\"11773952\"]\n  9 -> 17 [size =\"11773952\"]\n  10 [size=\"84340053\", alpha=\"0.18\", expect_size=\"25302016\"] \n  10 -> 11 [size =\"25302016\"]\n  10 -> 14 [size =\"25302016\"]\n  10 -> 15 [size =\"25302016\"]\n  10 -> 17 [size =\"25302016\"]\n  11 [size=\"77533867\", alpha=\"0.10\", expect_size=\"23260160\"] \n  11 -> 22 [size =\"23260160\"]\n  11 -> 23 [size =\"23260160\"]\n  12 [size=\"44185600\", alpha=\"0.06\", expect_size=\"13255680\"] \n  12 -> 21 [size =\"13255680\"]\n  12 -> 22 [size =\"13255680\"]\n  13 [size=\"23668053\", alpha=\"0.18\", expect_size=\"7100416\"] \n  13 -> 20 [size =\"7100416\"]\n  14 [size=\"105137493\", alpha=\"0.01\", expect_size=\"31541248\"] \n  14 -> 23 [size =\"31541248\"]\n  15 [size=\"33280000\", alpha=\"0.16\", expect_size=\"9984000\"] \n  15 -> 19 [size =\"9984000\"]\n  15 -> 22 [size =\"9984000\"]\n  16 [size=\"133584213\", alpha=\"0.02\", expect_size=\"40075264\"] \n  16 -> 19 [size =\"40075264\"]\n  16 -> 22 [size =\"40075264\"]\n  17 [size=\"158368427\", alpha=\"0.12\", expect_size=\"47510528\"] \n  18 [size=\"35474773\", alpha=\"0.07\", expect_size=\"10642432\"] \n  18 -> 23 [size =\"10642432\"]\n  19 [size=\"107827200\", alpha=\"0.04\", expect_size=\"32348160\"] \n  19 -> 25 [size =\"32348160\"]\n  19 -> 26 [size =\"32348160\"]\n  19 -> 29 [size =\"32348160\"]\n  19 -> 31 [size =\"32348160\"]\n  20 [size=\"20845227\", alpha=\"0.03\", expect_size=\"6253568\"] \n  20 -> 25 [size =\"6253568\"]\n  20 -> 26 [size =\"6253568\"]\n  20 -> 29 [size =\"6253568\"]\n  21 [size=\"165515947\", alpha=\"0.17\", expect_size=\"49654784\"] \n  21 -> 24 [size =\"49654784\"]\n  21 -> 25 [size =\"49654784\"]\n  21 -> 26 [size =\"49654784\"]\n  21 -> 27 [size =\"49654784\"]\n  21 -> 28 [size =\"49654784\"]\n  21 -> 30 [size =\"49654784\"]\n  22 [size=\"88364373\", alpha=\"0.20\", expect_size=\"26509312\"] \n  22 -> 28 [size =\"26509312\"]\n  22 -> 29 [size =\"26509312\"]\n  23 [size=\"136338773\", alpha=\"0.16\", expect_size=\"40901632\"] \n  23 -> 24 [size =\"40901632\"]\n  23 -> 30 [size =\"40901632\"]\n  23 -> 32 [size =\"40901632\"]\n  24 [size=\"124528640\", alpha=\"0.16\", expect_size=\"37358592\"] \n  24 -> 33 [size =\"37358592\"]\n  24 -> 36 [size =\"37358592\"]\n  24 -> 37 [size =\"37358592\"]\n  25 [size=\"134539947\", alpha=\"0.09\", expect_size=\"40361984\"] \n  25 -> 37 [size =\"40361984\"]\n  26 [size=\"103867733\", alpha=\"0.10\", expect_size=\"31160320\"] \n  26 -> 33 [size =\"31160320\"]\n  26 -> 34 [size =\"31160320\"]\n  26 -> 35 [size =\"31160320\"]\n  26 -> 37 [size =\"31160320\"]\n  26 -> 38 [size =\"31160320\"]\n  27 [size=\"119586133\", alpha=\"0.06\", expect_size=\"35875840\"] \n  28 [size=\"59934720\", alpha=\"0.08\", expect_size=\"17980416\"] \n  28 -> 36 [size =\"17980416\"]\n  28 -> 37 [size =\"17980416\"]\n  29 [size=\"117387947\", alpha=\"0.12\", expect_size=\"35216384\"] \n  29 -> 33 [size =\"35216384\"]\n  29 -> 34 [size =\"35216384\"]\n  29 -> 36 [size =\"35216384\"]\n  30 [size=\"145626453\", alpha=\"0.04\", expect_size=\"43687936\"] \n  30 -> 34 [size =\"43687936\"]\n  30 -> 35 [size =\"43687936\"]\n  31 [size=\"169130667\", alpha=\"0.05\", expect_size=\"50739200\"] \n  31 -> 34 [size =\"50739200\"]\n  31 -> 38 [size =\"50739200\"]\n  32 [size=\"145134933\", alpha=\"0.08\", expect_size=\"43540480\"] \n  32 -> 33 [size =\"43540480\"]\n  32 -> 34 [size =\"43540480\"]\n  33 [size=\"144517120\", alpha=\"0.13\", expect_size=\"43355136\"] \n  33 -> 40 [size =\"43355136\"]\n  33 -> 41 [size =\"43355136\"]\n  34 [size=\"116152320\", alpha=\"0.08\", expect_size=\"34845696\"] \n  34 -> 42 [size =\"34845696\"]\n  35 [size=\"88330240\", alpha=\"0.06\", expect_size=\"26499072\"] \n  35 -> 39 [size =\"26499072\"]\n  36 [size=\"160573440\", alpha=\"0.18\", expect_size=\"48172032\"] \n  36 -> 41 [size =\"48172032\"]\n  36 -> 43 [size =\"48172032\"]\n  37 [size=\"80059733\", alpha=\"0.09\", expect_size=\"24017920\"] \n  37 -> 40 [size =\"24017920\"]\n  37 -> 41 [size =\"24017920\"]\n  37 -> 42 [size =\"24017920\"]\n  37 -> 43 [size =\"24017920\"]\n  38 [size=\"129099093\", alpha=\"0.01\", expect_size=\"38729728\"] \n  38 -> 39 [size =\"38729728\"]\n  38 -> 40 [size =\"38729728\"]\n  38 -> 42 [size =\"38729728\"]\n  38 -> 43 [size =\"38729728\"]\n  39 [size=\"31679147\", alpha=\"0.05\", expect_size=\"9503744\"] \n  39 -> 44 [size =\"9503744\"]\n  39 -> 47 [size =\"9503744\"]\n  39 -> 48 [size =\"9503744\"]\n  39 -> 49 [size =\"9503744\"]\n  40 [size=\"124139520\", alpha=\"0.10\", expect_size=\"37241856\"] \n  40 -> 44 [size =\"37241856\"]\n  40 -> 46 [size =\"37241856\"]\n  40 -> 48 [size =\"37241856\"]\n  40 -> 49 [size =\"37241856\"]\n  41 [size=\"158774613\", alpha=\"0.13\", expect_size=\"47632384\"] \n  41 -> 46 [size =\"47632384\"]\n  42 [size=\"38355627\", alpha=\"0.06\", expect_size=\"11506688\"] \n  42 -> 44 [size =\"11506688\"]\n  42 -> 45 [size =\"11506688\"]\n  42 -> 49 [size =\"11506688\"]\n  43 [size=\"104168107\", alpha=\"0.13\", expect_size=\"31250432\"] \n  43 -> 45 [size =\"31250432\"]\n  43 -> 48 [size =\"31250432\"]\n  44 [size=\"47827627\", alpha=\"0.14\", expect_size=\"14348288\"] \n  44 -> 50 [size =\"14348288\"]\n  45 [size=\"114288640\", alpha=\"0.10\", expect_size=\"34286592\"] \n  45 -> 50 [size =\"34286592\"]\n  46 [size=\"162065067\", alpha=\"0.17\", expect_size=\"48619520\"] \n  47 [size=\"149985280\", alpha=\"0.17\", expect_size=\"44995584\"] \n  48 [size=\"61655040\", alpha=\"0.02\", expect_size=\"18496512\"] \n  49 [size=\"72362667\", alpha=\"0.00\", expect_size=\"21708800\"] \n  49 -> 50 [size =\"21708800\"]\n  50 [size=\"115172693\", alpha=\"0.15\", expect_size=\"34551808\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.871.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101201920\", alpha=\"0.15\", expect_size=\"50600960\"] \n  1 -> 4 [size =\"50600960\"]\n  1 -> 5 [size =\"50600960\"]\n  2 [size=\"71432192\", alpha=\"0.17\", expect_size=\"35716096\"] \n  3 [size=\"34295808\", alpha=\"0.14\", expect_size=\"17147904\"] \n  3 -> 5 [size =\"17147904\"]\n  4 [size=\"76978176\", alpha=\"0.20\", expect_size=\"38489088\"] \n  4 -> 6 [size =\"38489088\"]\n  4 -> 8 [size =\"38489088\"]\n  5 [size=\"71348224\", alpha=\"0.20\", expect_size=\"35674112\"] \n  5 -> 7 [size =\"35674112\"]\n  6 [size=\"43962368\", alpha=\"0.14\", expect_size=\"21981184\"] \n  6 -> 10 [size =\"21981184\"]\n  7 [size=\"79595520\", alpha=\"0.05\", expect_size=\"39797760\"] \n  7 -> 9 [size =\"39797760\"]\n  7 -> 11 [size =\"39797760\"]\n  8 [size=\"69902336\", alpha=\"0.08\", expect_size=\"34951168\"] \n  8 -> 9 [size =\"34951168\"]\n  9 [size=\"93792256\", alpha=\"0.05\", expect_size=\"46896128\"] \n  9 -> 12 [size =\"46896128\"]\n  10 [size=\"55480320\", alpha=\"0.06\", expect_size=\"27740160\"] \n  10 -> 13 [size =\"27740160\"]\n  10 -> 14 [size =\"27740160\"]\n  11 [size=\"14542848\", alpha=\"0.19\", expect_size=\"7271424\"] \n  11 -> 14 [size =\"7271424\"]\n  12 [size=\"84484096\", alpha=\"0.07\", expect_size=\"42242048\"] \n  12 -> 16 [size =\"42242048\"]\n  12 -> 17 [size =\"42242048\"]\n  13 [size=\"70486016\", alpha=\"0.18\", expect_size=\"35243008\"] \n  14 [size=\"40828928\", alpha=\"0.15\", expect_size=\"20414464\"] \n  14 -> 15 [size =\"20414464\"]\n  15 [size=\"38641664\", alpha=\"0.13\", expect_size=\"19320832\"] \n  15 -> 18 [size =\"19320832\"]\n  15 -> 19 [size =\"19320832\"]\n  16 [size=\"36296704\", alpha=\"0.09\", expect_size=\"18148352\"] \n  17 [size=\"102645760\", alpha=\"0.05\", expect_size=\"51322880\"] \n  18 [size=\"33779712\", alpha=\"0.14\", expect_size=\"16889856\"] \n  18 -> 20 [size =\"16889856\"]\n  18 -> 21 [size =\"16889856\"]\n  19 [size=\"69769216\", alpha=\"0.11\", expect_size=\"34884608\"] \n  20 [size=\"91781120\", alpha=\"0.07\", expect_size=\"45890560\"] \n  21 [size=\"23707648\", alpha=\"0.02\", expect_size=\"11853824\"] \n  21 -> 22 [size =\"11853824\"]\n  21 -> 23 [size =\"11853824\"]\n  21 -> 24 [size =\"11853824\"]\n  22 [size=\"20418560\", alpha=\"0.11\", expect_size=\"10209280\"] \n  22 -> 25 [size =\"10209280\"]\n  22 -> 27 [size =\"10209280\"]\n  23 [size=\"52819968\", alpha=\"0.04\", expect_size=\"26409984\"] \n  23 -> 27 [size =\"26409984\"]\n  24 [size=\"45111296\", alpha=\"0.12\", expect_size=\"22555648\"] \n  24 -> 26 [size =\"22555648\"]\n  25 [size=\"22652928\", alpha=\"0.12\", expect_size=\"11326464\"] \n  25 -> 28 [size =\"11326464\"]\n  25 -> 29 [size =\"11326464\"]\n  26 [size=\"86128640\", alpha=\"0.00\", expect_size=\"43064320\"] \n  26 -> 30 [size =\"43064320\"]\n  27 [size=\"33052672\", alpha=\"0.02\", expect_size=\"16526336\"] \n  27 -> 28 [size =\"16526336\"]\n  27 -> 29 [size =\"16526336\"]\n  28 [size=\"58030080\", alpha=\"0.17\", expect_size=\"29015040\"] \n  29 [size=\"29673472\", alpha=\"0.10\", expect_size=\"14836736\"] \n  30 [size=\"79925248\", alpha=\"0.12\", expect_size=\"39962624\"] \n  30 -> 31 [size =\"39962624\"]\n  30 -> 32 [size =\"39962624\"]\n  31 [size=\"18354176\", alpha=\"0.14\", expect_size=\"9177088\"] \n  31 -> 34 [size =\"9177088\"]\n  32 [size=\"30052352\", alpha=\"0.13\", expect_size=\"15026176\"] \n  32 -> 33 [size =\"15026176\"]\n  33 [size=\"81592320\", alpha=\"0.04\", expect_size=\"40796160\"] \n  33 -> 36 [size =\"40796160\"]\n  34 [size=\"102414336\", alpha=\"0.02\", expect_size=\"51207168\"] \n  34 -> 35 [size =\"51207168\"]\n  35 [size=\"64643072\", alpha=\"0.06\", expect_size=\"32321536\"] \n  35 -> 38 [size =\"32321536\"]\n  35 -> 39 [size =\"32321536\"]\n  36 [size=\"29138944\", alpha=\"0.15\", expect_size=\"14569472\"] \n  36 -> 37 [size =\"14569472\"]\n  37 [size=\"29380608\", alpha=\"0.03\", expect_size=\"14690304\"] \n  37 -> 41 [size =\"14690304\"]\n  37 -> 42 [size =\"14690304\"]\n  38 [size=\"40105984\", alpha=\"0.17\", expect_size=\"20052992\"] \n  38 -> 40 [size =\"20052992\"]\n  38 -> 41 [size =\"20052992\"]\n  39 [size=\"26361856\", alpha=\"0.03\", expect_size=\"13180928\"] \n  39 -> 40 [size =\"13180928\"]\n  40 [size=\"71454720\", alpha=\"0.07\", expect_size=\"35727360\"] \n  40 -> 43 [size =\"35727360\"]\n  40 -> 45 [size =\"35727360\"]\n  41 [size=\"31633408\", alpha=\"0.13\", expect_size=\"15816704\"] \n  41 -> 43 [size =\"15816704\"]\n  42 [size=\"99702784\", alpha=\"0.01\", expect_size=\"49851392\"] \n  42 -> 44 [size =\"49851392\"]\n  42 -> 45 [size =\"49851392\"]\n  43 [size=\"66545664\", alpha=\"0.18\", expect_size=\"33272832\"] \n  43 -> 46 [size =\"33272832\"]\n  43 -> 47 [size =\"33272832\"]\n  44 [size=\"86536192\", alpha=\"0.03\", expect_size=\"43268096\"] \n  44 -> 46 [size =\"43268096\"]\n  45 [size=\"95645696\", alpha=\"0.10\", expect_size=\"47822848\"] \n  46 [size=\"27660288\", alpha=\"0.13\", expect_size=\"13830144\"] \n  46 -> 48 [size =\"13830144\"]\n  46 -> 49 [size =\"13830144\"]\n  47 [size=\"97134592\", alpha=\"0.01\", expect_size=\"48567296\"] \n  47 -> 50 [size =\"48567296\"]\n  48 [size=\"18743296\", alpha=\"0.19\", expect_size=\"9371648\"] \n  49 [size=\"98895872\", alpha=\"0.02\", expect_size=\"49447936\"] \n  50 [size=\"19388416\", alpha=\"0.18\", expect_size=\"9694208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.872.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131379200\", alpha=\"0.02\", expect_size=\"39413760\"] \n  1 -> 10 [size =\"39413760\"]\n  1 -> 16 [size =\"39413760\"]\n  1 -> 19 [size =\"39413760\"]\n  1 -> 20 [size =\"39413760\"]\n  2 [size=\"41710933\", alpha=\"0.01\", expect_size=\"12513280\"] \n  2 -> 12 [size =\"12513280\"]\n  2 -> 14 [size =\"12513280\"]\n  2 -> 18 [size =\"12513280\"]\n  2 -> 21 [size =\"12513280\"]\n  3 [size=\"37758293\", alpha=\"0.01\", expect_size=\"11327488\"] \n  3 -> 12 [size =\"11327488\"]\n  3 -> 15 [size =\"11327488\"]\n  3 -> 16 [size =\"11327488\"]\n  3 -> 21 [size =\"11327488\"]\n  4 [size=\"96788480\", alpha=\"0.00\", expect_size=\"29036544\"] \n  4 -> 16 [size =\"29036544\"]\n  4 -> 19 [size =\"29036544\"]\n  5 [size=\"150910293\", alpha=\"0.19\", expect_size=\"45273088\"] \n  5 -> 11 [size =\"45273088\"]\n  5 -> 14 [size =\"45273088\"]\n  5 -> 15 [size =\"45273088\"]\n  6 [size=\"141509973\", alpha=\"0.17\", expect_size=\"42452992\"] \n  6 -> 13 [size =\"42452992\"]\n  6 -> 15 [size =\"42452992\"]\n  6 -> 22 [size =\"42452992\"]\n  7 [size=\"26262187\", alpha=\"0.16\", expect_size=\"7878656\"] \n  7 -> 13 [size =\"7878656\"]\n  7 -> 15 [size =\"7878656\"]\n  8 [size=\"51496960\", alpha=\"0.02\", expect_size=\"15449088\"] \n  8 -> 12 [size =\"15449088\"]\n  8 -> 14 [size =\"15449088\"]\n  8 -> 17 [size =\"15449088\"]\n  8 -> 22 [size =\"15449088\"]\n  9 [size=\"79800320\", alpha=\"0.14\", expect_size=\"23940096\"] \n  9 -> 14 [size =\"23940096\"]\n  9 -> 19 [size =\"23940096\"]\n  9 -> 21 [size =\"23940096\"]\n  10 [size=\"104755200\", alpha=\"0.07\", expect_size=\"31426560\"] \n  10 -> 23 [size =\"31426560\"]\n  10 -> 24 [size =\"31426560\"]\n  10 -> 28 [size =\"31426560\"]\n  10 -> 32 [size =\"31426560\"]\n  11 [size=\"160122880\", alpha=\"0.10\", expect_size=\"48036864\"] \n  11 -> 26 [size =\"48036864\"]\n  11 -> 29 [size =\"48036864\"]\n  11 -> 30 [size =\"48036864\"]\n  11 -> 33 [size =\"48036864\"]\n  11 -> 34 [size =\"48036864\"]\n  11 -> 35 [size =\"48036864\"]\n  12 [size=\"18909867\", alpha=\"0.04\", expect_size=\"5672960\"] \n  12 -> 30 [size =\"5672960\"]\n  12 -> 31 [size =\"5672960\"]\n  12 -> 32 [size =\"5672960\"]\n  12 -> 35 [size =\"5672960\"]\n  13 [size=\"29900800\", alpha=\"0.03\", expect_size=\"8970240\"] \n  13 -> 35 [size =\"8970240\"]\n  14 [size=\"39325013\", alpha=\"0.09\", expect_size=\"11797504\"] \n  14 -> 26 [size =\"11797504\"]\n  14 -> 27 [size =\"11797504\"]\n  14 -> 28 [size =\"11797504\"]\n  15 [size=\"42246827\", alpha=\"0.01\", expect_size=\"12674048\"] \n  15 -> 23 [size =\"12674048\"]\n  16 [size=\"35850240\", alpha=\"0.18\", expect_size=\"10755072\"] \n  16 -> 25 [size =\"10755072\"]\n  16 -> 26 [size =\"10755072\"]\n  16 -> 28 [size =\"10755072\"]\n  16 -> 30 [size =\"10755072\"]\n  16 -> 33 [size =\"10755072\"]\n  16 -> 38 [size =\"10755072\"]\n  17 [size=\"170796373\", alpha=\"0.10\", expect_size=\"51238912\"] \n  17 -> 25 [size =\"51238912\"]\n  17 -> 28 [size =\"51238912\"]\n  17 -> 30 [size =\"51238912\"]\n  17 -> 30 [size =\"51238912\"]\n  17 -> 31 [size =\"51238912\"]\n  17 -> 32 [size =\"51238912\"]\n  18 [size=\"142687573\", alpha=\"0.00\", expect_size=\"42806272\"] \n  18 -> 23 [size =\"42806272\"]\n  18 -> 25 [size =\"42806272\"]\n  18 -> 30 [size =\"42806272\"]\n  18 -> 33 [size =\"42806272\"]\n  18 -> 36 [size =\"42806272\"]\n  18 -> 37 [size =\"42806272\"]\n  19 [size=\"156770987\", alpha=\"0.10\", expect_size=\"47031296\"] \n  19 -> 25 [size =\"47031296\"]\n  19 -> 25 [size =\"47031296\"]\n  19 -> 31 [size =\"47031296\"]\n  19 -> 33 [size =\"47031296\"]\n  20 [size=\"113442133\", alpha=\"0.08\", expect_size=\"34032640\"] \n  20 -> 24 [size =\"34032640\"]\n  20 -> 28 [size =\"34032640\"]\n  21 [size=\"165563733\", alpha=\"0.20\", expect_size=\"49669120\"] \n  21 -> 24 [size =\"49669120\"]\n  21 -> 30 [size =\"49669120\"]\n  21 -> 33 [size =\"49669120\"]\n  22 [size=\"87681707\", alpha=\"0.15\", expect_size=\"26304512\"] \n  22 -> 33 [size =\"26304512\"]\n  22 -> 38 [size =\"26304512\"]\n  23 [size=\"117172907\", alpha=\"0.13\", expect_size=\"35151872\"] \n  23 -> 43 [size =\"35151872\"]\n  23 -> 43 [size =\"35151872\"]\n  23 -> 44 [size =\"35151872\"]\n  23 -> 45 [size =\"35151872\"]\n  23 -> 50 [size =\"35151872\"]\n  24 [size=\"137256960\", alpha=\"0.00\", expect_size=\"41177088\"] \n  24 -> 40 [size =\"41177088\"]\n  24 -> 43 [size =\"41177088\"]\n  24 -> 45 [size =\"41177088\"]\n  24 -> 46 [size =\"41177088\"]\n  24 -> 48 [size =\"41177088\"]\n  24 -> 50 [size =\"41177088\"]\n  25 [size=\"53715627\", alpha=\"0.05\", expect_size=\"16114688\"] \n  25 -> 40 [size =\"16114688\"]\n  25 -> 43 [size =\"16114688\"]\n  25 -> 48 [size =\"16114688\"]\n  25 -> 50 [size =\"16114688\"]\n  26 [size=\"61552640\", alpha=\"0.06\", expect_size=\"18465792\"] \n  26 -> 42 [size =\"18465792\"]\n  26 -> 43 [size =\"18465792\"]\n  26 -> 47 [size =\"18465792\"]\n  26 -> 48 [size =\"18465792\"]\n  26 -> 49 [size =\"18465792\"]\n  27 [size=\"44110507\", alpha=\"0.07\", expect_size=\"13233152\"] \n  28 [size=\"125706240\", alpha=\"0.13\", expect_size=\"37711872\"] \n  28 -> 40 [size =\"37711872\"]\n  28 -> 44 [size =\"37711872\"]\n  28 -> 45 [size =\"37711872\"]\n  28 -> 49 [size =\"37711872\"]\n  28 -> 50 [size =\"37711872\"]\n  29 [size=\"129437013\", alpha=\"0.07\", expect_size=\"38831104\"] \n  29 -> 40 [size =\"38831104\"]\n  29 -> 45 [size =\"38831104\"]\n  30 [size=\"51896320\", alpha=\"0.12\", expect_size=\"15568896\"] \n  30 -> 39 [size =\"15568896\"]\n  30 -> 40 [size =\"15568896\"]\n  30 -> 46 [size =\"15568896\"]\n  30 -> 47 [size =\"15568896\"]\n  31 [size=\"112431787\", alpha=\"0.15\", expect_size=\"33729536\"] \n  31 -> 39 [size =\"33729536\"]\n  31 -> 41 [size =\"33729536\"]\n  31 -> 43 [size =\"33729536\"]\n  31 -> 46 [size =\"33729536\"]\n  31 -> 48 [size =\"33729536\"]\n  32 [size=\"110376960\", alpha=\"0.19\", expect_size=\"33113088\"] \n  32 -> 45 [size =\"33113088\"]\n  33 [size=\"69963093\", alpha=\"0.03\", expect_size=\"20988928\"] \n  33 -> 40 [size =\"20988928\"]\n  33 -> 43 [size =\"20988928\"]\n  33 -> 44 [size =\"20988928\"]\n  33 -> 45 [size =\"20988928\"]\n  34 [size=\"168768853\", alpha=\"0.11\", expect_size=\"50630656\"] \n  34 -> 47 [size =\"50630656\"]\n  34 -> 50 [size =\"50630656\"]\n  35 [size=\"171530240\", alpha=\"0.02\", expect_size=\"51459072\"] \n  35 -> 47 [size =\"51459072\"]\n  35 -> 49 [size =\"51459072\"]\n  36 [size=\"54394880\", alpha=\"0.15\", expect_size=\"16318464\"] \n  36 -> 44 [size =\"16318464\"]\n  37 [size=\"98689707\", alpha=\"0.08\", expect_size=\"29606912\"] \n  38 [size=\"155914240\", alpha=\"0.16\", expect_size=\"46774272\"] \n  38 -> 40 [size =\"46774272\"]\n  38 -> 43 [size =\"46774272\"]\n  38 -> 45 [size =\"46774272\"]\n  38 -> 50 [size =\"46774272\"]\n  39 [size=\"102806187\", alpha=\"0.03\", expect_size=\"30841856\"] \n  40 [size=\"158976000\", alpha=\"0.01\", expect_size=\"47692800\"] \n  41 [size=\"97129813\", alpha=\"0.18\", expect_size=\"29138944\"] \n  42 [size=\"59921067\", alpha=\"0.05\", expect_size=\"17976320\"] \n  43 [size=\"48779947\", alpha=\"0.04\", expect_size=\"14633984\"] \n  44 [size=\"76134400\", alpha=\"0.18\", expect_size=\"22840320\"] \n  45 [size=\"163840000\", alpha=\"0.17\", expect_size=\"49152000\"] \n  46 [size=\"22087680\", alpha=\"0.01\", expect_size=\"6626304\"] \n  47 [size=\"141120853\", alpha=\"0.09\", expect_size=\"42336256\"] \n  48 [size=\"45110613\", alpha=\"0.10\", expect_size=\"13533184\"] \n  49 [size=\"173841067\", alpha=\"0.06\", expect_size=\"52152320\"] \n  50 [size=\"37468160\", alpha=\"0.06\", expect_size=\"11240448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.873.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"106964480\", alpha=\"0.03\", expect_size=\"42785792\"] \n  1 -> 10 [size =\"42785792\"]\n  1 -> 10 [size =\"42785792\"]\n  1 -> 12 [size =\"42785792\"]\n  1 -> 14 [size =\"42785792\"]\n  2 [size=\"44549120\", alpha=\"0.12\", expect_size=\"17819648\"] \n  2 -> 10 [size =\"17819648\"]\n  2 -> 13 [size =\"17819648\"]\n  3 [size=\"51765760\", alpha=\"0.04\", expect_size=\"20706304\"] \n  3 -> 7 [size =\"20706304\"]\n  3 -> 9 [size =\"20706304\"]\n  3 -> 10 [size =\"20706304\"]\n  3 -> 13 [size =\"20706304\"]\n  4 [size=\"85506560\", alpha=\"0.02\", expect_size=\"34202624\"] \n  4 -> 7 [size =\"34202624\"]\n  4 -> 8 [size =\"34202624\"]\n  4 -> 10 [size =\"34202624\"]\n  4 -> 11 [size =\"34202624\"]\n  4 -> 13 [size =\"34202624\"]\n  5 [size=\"129809920\", alpha=\"0.19\", expect_size=\"51923968\"] \n  5 -> 7 [size =\"51923968\"]\n  6 [size=\"57761280\", alpha=\"0.14\", expect_size=\"23104512\"] \n  6 -> 7 [size =\"23104512\"]\n  6 -> 10 [size =\"23104512\"]\n  6 -> 11 [size =\"23104512\"]\n  6 -> 13 [size =\"23104512\"]\n  7 [size=\"64148480\", alpha=\"0.12\", expect_size=\"25659392\"] \n  7 -> 15 [size =\"25659392\"]\n  7 -> 16 [size =\"25659392\"]\n  7 -> 17 [size =\"25659392\"]\n  7 -> 18 [size =\"25659392\"]\n  8 [size=\"27376640\", alpha=\"0.19\", expect_size=\"10950656\"] \n  8 -> 15 [size =\"10950656\"]\n  8 -> 16 [size =\"10950656\"]\n  9 [size=\"112652800\", alpha=\"0.19\", expect_size=\"45061120\"] \n  9 -> 15 [size =\"45061120\"]\n  9 -> 16 [size =\"45061120\"]\n  9 -> 17 [size =\"45061120\"]\n  9 -> 18 [size =\"45061120\"]\n  10 [size=\"123827200\", alpha=\"0.16\", expect_size=\"49530880\"] \n  10 -> 15 [size =\"49530880\"]\n  10 -> 17 [size =\"49530880\"]\n  10 -> 18 [size =\"49530880\"]\n  11 [size=\"35002880\", alpha=\"0.10\", expect_size=\"14001152\"] \n  11 -> 15 [size =\"14001152\"]\n  11 -> 16 [size =\"14001152\"]\n  11 -> 17 [size =\"14001152\"]\n  11 -> 18 [size =\"14001152\"]\n  12 [size=\"52838400\", alpha=\"0.08\", expect_size=\"21135360\"] \n  12 -> 15 [size =\"21135360\"]\n  12 -> 16 [size =\"21135360\"]\n  12 -> 17 [size =\"21135360\"]\n  12 -> 18 [size =\"21135360\"]\n  13 [size=\"124984320\", alpha=\"0.06\", expect_size=\"49993728\"] \n  13 -> 15 [size =\"49993728\"]\n  13 -> 17 [size =\"49993728\"]\n  13 -> 17 [size =\"49993728\"]\n  13 -> 18 [size =\"49993728\"]\n  14 [size=\"32486400\", alpha=\"0.03\", expect_size=\"12994560\"] \n  14 -> 15 [size =\"12994560\"]\n  14 -> 16 [size =\"12994560\"]\n  15 [size=\"46305280\", alpha=\"0.03\", expect_size=\"18522112\"] \n  15 -> 20 [size =\"18522112\"]\n  15 -> 21 [size =\"18522112\"]\n  15 -> 23 [size =\"18522112\"]\n  15 -> 24 [size =\"18522112\"]\n  15 -> 25 [size =\"18522112\"]\n  15 -> 27 [size =\"18522112\"]\n  16 [size=\"42408960\", alpha=\"0.18\", expect_size=\"16963584\"] \n  16 -> 19 [size =\"16963584\"]\n  16 -> 20 [size =\"16963584\"]\n  16 -> 21 [size =\"16963584\"]\n  16 -> 22 [size =\"16963584\"]\n  16 -> 24 [size =\"16963584\"]\n  16 -> 25 [size =\"16963584\"]\n  16 -> 28 [size =\"16963584\"]\n  17 [size=\"122749440\", alpha=\"0.08\", expect_size=\"49099776\"] \n  17 -> 20 [size =\"49099776\"]\n  17 -> 21 [size =\"49099776\"]\n  17 -> 21 [size =\"49099776\"]\n  17 -> 22 [size =\"49099776\"]\n  17 -> 24 [size =\"49099776\"]\n  17 -> 26 [size =\"49099776\"]\n  17 -> 27 [size =\"49099776\"]\n  17 -> 28 [size =\"49099776\"]\n  18 [size=\"74160640\", alpha=\"0.07\", expect_size=\"29664256\"] \n  18 -> 22 [size =\"29664256\"]\n  18 -> 24 [size =\"29664256\"]\n  18 -> 27 [size =\"29664256\"]\n  18 -> 28 [size =\"29664256\"]\n  19 [size=\"69934080\", alpha=\"0.11\", expect_size=\"27973632\"] \n  19 -> 32 [size =\"27973632\"]\n  20 [size=\"64872960\", alpha=\"0.07\", expect_size=\"25949184\"] \n  21 [size=\"39165440\", alpha=\"0.18\", expect_size=\"15666176\"] \n  21 -> 29 [size =\"15666176\"]\n  21 -> 32 [size =\"15666176\"]\n  22 [size=\"100756480\", alpha=\"0.15\", expect_size=\"40302592\"] \n  23 [size=\"28277760\", alpha=\"0.19\", expect_size=\"11311104\"] \n  23 -> 30 [size =\"11311104\"]\n  23 -> 31 [size =\"11311104\"]\n  23 -> 32 [size =\"11311104\"]\n  24 [size=\"66560000\", alpha=\"0.15\", expect_size=\"26624000\"] \n  24 -> 32 [size =\"26624000\"]\n  25 [size=\"86817280\", alpha=\"0.11\", expect_size=\"34726912\"] \n  26 [size=\"103329280\", alpha=\"0.14\", expect_size=\"41331712\"] \n  26 -> 29 [size =\"41331712\"]\n  26 -> 31 [size =\"41331712\"]\n  26 -> 32 [size =\"41331712\"]\n  27 [size=\"94218240\", alpha=\"0.06\", expect_size=\"37687296\"] \n  27 -> 29 [size =\"37687296\"]\n  27 -> 30 [size =\"37687296\"]\n  27 -> 32 [size =\"37687296\"]\n  28 [size=\"24192000\", alpha=\"0.20\", expect_size=\"9676800\"] \n  29 [size=\"67468800\", alpha=\"0.11\", expect_size=\"26987520\"] \n  29 -> 34 [size =\"26987520\"]\n  29 -> 35 [size =\"26987520\"]\n  29 -> 36 [size =\"26987520\"]\n  29 -> 37 [size =\"26987520\"]\n  29 -> 38 [size =\"26987520\"]\n  29 -> 39 [size =\"26987520\"]\n  30 [size=\"13283840\", alpha=\"0.01\", expect_size=\"5313536\"] \n  30 -> 33 [size =\"5313536\"]\n  30 -> 34 [size =\"5313536\"]\n  30 -> 35 [size =\"5313536\"]\n  30 -> 36 [size =\"5313536\"]\n  30 -> 37 [size =\"5313536\"]\n  30 -> 38 [size =\"5313536\"]\n  30 -> 39 [size =\"5313536\"]\n  31 [size=\"52339200\", alpha=\"0.15\", expect_size=\"20935680\"] \n  31 -> 35 [size =\"20935680\"]\n  31 -> 37 [size =\"20935680\"]\n  31 -> 38 [size =\"20935680\"]\n  32 [size=\"42560000\", alpha=\"0.15\", expect_size=\"17024000\"] \n  32 -> 34 [size =\"17024000\"]\n  32 -> 35 [size =\"17024000\"]\n  32 -> 37 [size =\"17024000\"]\n  32 -> 38 [size =\"17024000\"]\n  33 [size=\"15395840\", alpha=\"0.15\", expect_size=\"6158336\"] \n  33 -> 40 [size =\"6158336\"]\n  33 -> 41 [size =\"6158336\"]\n  33 -> 42 [size =\"6158336\"]\n  33 -> 45 [size =\"6158336\"]\n  33 -> 47 [size =\"6158336\"]\n  34 [size=\"127467520\", alpha=\"0.17\", expect_size=\"50987008\"] \n  34 -> 40 [size =\"50987008\"]\n  34 -> 41 [size =\"50987008\"]\n  34 -> 42 [size =\"50987008\"]\n  34 -> 45 [size =\"50987008\"]\n  34 -> 46 [size =\"50987008\"]\n  34 -> 47 [size =\"50987008\"]\n  35 [size=\"97280000\", alpha=\"0.06\", expect_size=\"38912000\"] \n  35 -> 40 [size =\"38912000\"]\n  35 -> 41 [size =\"38912000\"]\n  35 -> 42 [size =\"38912000\"]\n  35 -> 43 [size =\"38912000\"]\n  35 -> 44 [size =\"38912000\"]\n  35 -> 47 [size =\"38912000\"]\n  36 [size=\"41541120\", alpha=\"0.19\", expect_size=\"16616448\"] \n  36 -> 40 [size =\"16616448\"]\n  36 -> 42 [size =\"16616448\"]\n  36 -> 42 [size =\"16616448\"]\n  36 -> 44 [size =\"16616448\"]\n  36 -> 45 [size =\"16616448\"]\n  37 [size=\"122867200\", alpha=\"0.11\", expect_size=\"49146880\"] \n  37 -> 40 [size =\"49146880\"]\n  37 -> 41 [size =\"49146880\"]\n  37 -> 45 [size =\"49146880\"]\n  37 -> 47 [size =\"49146880\"]\n  37 -> 48 [size =\"49146880\"]\n  38 [size=\"38407680\", alpha=\"0.13\", expect_size=\"15363072\"] \n  38 -> 40 [size =\"15363072\"]\n  38 -> 41 [size =\"15363072\"]\n  38 -> 42 [size =\"15363072\"]\n  38 -> 45 [size =\"15363072\"]\n  38 -> 46 [size =\"15363072\"]\n  39 [size=\"38364160\", alpha=\"0.05\", expect_size=\"15345664\"] \n  39 -> 40 [size =\"15345664\"]\n  39 -> 42 [size =\"15345664\"]\n  39 -> 44 [size =\"15345664\"]\n  39 -> 45 [size =\"15345664\"]\n  40 [size=\"104314880\", alpha=\"0.05\", expect_size=\"41725952\"] \n  40 -> 49 [size =\"41725952\"]\n  41 [size=\"111055360\", alpha=\"0.10\", expect_size=\"44422144\"] \n  41 -> 49 [size =\"44422144\"]\n  41 -> 50 [size =\"44422144\"]\n  42 [size=\"80481280\", alpha=\"0.10\", expect_size=\"32192512\"] \n  42 -> 49 [size =\"32192512\"]\n  42 -> 50 [size =\"32192512\"]\n  43 [size=\"52323840\", alpha=\"0.13\", expect_size=\"20929536\"] \n  43 -> 50 [size =\"20929536\"]\n  44 [size=\"20497920\", alpha=\"0.04\", expect_size=\"8199168\"] \n  44 -> 49 [size =\"8199168\"]\n  44 -> 50 [size =\"8199168\"]\n  45 [size=\"122352640\", alpha=\"0.08\", expect_size=\"48941056\"] \n  45 -> 49 [size =\"48941056\"]\n  45 -> 50 [size =\"48941056\"]\n  46 [size=\"37189120\", alpha=\"0.08\", expect_size=\"14875648\"] \n  46 -> 49 [size =\"14875648\"]\n  47 [size=\"30243840\", alpha=\"0.01\", expect_size=\"12097536\"] \n  47 -> 49 [size =\"12097536\"]\n  48 [size=\"93196800\", alpha=\"0.16\", expect_size=\"37278720\"] \n  48 -> 49 [size =\"37278720\"]\n  48 -> 50 [size =\"37278720\"]\n  49 [size=\"51169280\", alpha=\"0.20\", expect_size=\"20467712\"] \n  50 [size=\"78955520\", alpha=\"0.04\", expect_size=\"31582208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.874.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90583040\", alpha=\"0.11\", expect_size=\"27174912\"] \n  1 -> 18 [size =\"27174912\"]\n  1 -> 19 [size =\"27174912\"]\n  1 -> 21 [size =\"27174912\"]\n  1 -> 24 [size =\"27174912\"]\n  1 -> 30 [size =\"27174912\"]\n  1 -> 30 [size =\"27174912\"]\n  2 [size=\"149562027\", alpha=\"0.18\", expect_size=\"44868608\"] \n  2 -> 16 [size =\"44868608\"]\n  2 -> 23 [size =\"44868608\"]\n  2 -> 30 [size =\"44868608\"]\n  3 [size=\"123446613\", alpha=\"0.03\", expect_size=\"37033984\"] \n  3 -> 18 [size =\"37033984\"]\n  3 -> 19 [size =\"37033984\"]\n  3 -> 22 [size =\"37033984\"]\n  3 -> 23 [size =\"37033984\"]\n  3 -> 27 [size =\"37033984\"]\n  3 -> 28 [size =\"37033984\"]\n  3 -> 30 [size =\"37033984\"]\n  4 [size=\"52053333\", alpha=\"0.17\", expect_size=\"15616000\"] \n  4 -> 17 [size =\"15616000\"]\n  4 -> 22 [size =\"15616000\"]\n  4 -> 24 [size =\"15616000\"]\n  4 -> 25 [size =\"15616000\"]\n  4 -> 27 [size =\"15616000\"]\n  5 [size=\"109516800\", alpha=\"0.15\", expect_size=\"32855040\"] \n  5 -> 18 [size =\"32855040\"]\n  5 -> 19 [size =\"32855040\"]\n  5 -> 22 [size =\"32855040\"]\n  5 -> 23 [size =\"32855040\"]\n  5 -> 26 [size =\"32855040\"]\n  5 -> 27 [size =\"32855040\"]\n  5 -> 30 [size =\"32855040\"]\n  6 [size=\"88033280\", alpha=\"0.02\", expect_size=\"26409984\"] \n  6 -> 17 [size =\"26409984\"]\n  6 -> 19 [size =\"26409984\"]\n  6 -> 23 [size =\"26409984\"]\n  6 -> 26 [size =\"26409984\"]\n  6 -> 30 [size =\"26409984\"]\n  7 [size=\"77619200\", alpha=\"0.15\", expect_size=\"23285760\"] \n  7 -> 17 [size =\"23285760\"]\n  7 -> 18 [size =\"23285760\"]\n  7 -> 21 [size =\"23285760\"]\n  7 -> 22 [size =\"23285760\"]\n  8 [size=\"120005973\", alpha=\"0.18\", expect_size=\"36001792\"] \n  8 -> 18 [size =\"36001792\"]\n  8 -> 25 [size =\"36001792\"]\n  8 -> 28 [size =\"36001792\"]\n  9 [size=\"62812160\", alpha=\"0.14\", expect_size=\"18843648\"] \n  9 -> 21 [size =\"18843648\"]\n  9 -> 22 [size =\"18843648\"]\n  9 -> 27 [size =\"18843648\"]\n  9 -> 28 [size =\"18843648\"]\n  9 -> 29 [size =\"18843648\"]\n  10 [size=\"156576427\", alpha=\"0.10\", expect_size=\"46972928\"] \n  10 -> 17 [size =\"46972928\"]\n  10 -> 21 [size =\"46972928\"]\n  10 -> 26 [size =\"46972928\"]\n  10 -> 28 [size =\"46972928\"]\n  10 -> 29 [size =\"46972928\"]\n  11 [size=\"20831573\", alpha=\"0.02\", expect_size=\"6249472\"] \n  11 -> 17 [size =\"6249472\"]\n  11 -> 19 [size =\"6249472\"]\n  11 -> 22 [size =\"6249472\"]\n  11 -> 24 [size =\"6249472\"]\n  11 -> 25 [size =\"6249472\"]\n  11 -> 26 [size =\"6249472\"]\n  12 [size=\"107567787\", alpha=\"0.20\", expect_size=\"32270336\"] \n  12 -> 16 [size =\"32270336\"]\n  12 -> 17 [size =\"32270336\"]\n  12 -> 26 [size =\"32270336\"]\n  12 -> 29 [size =\"32270336\"]\n  12 -> 30 [size =\"32270336\"]\n  13 [size=\"94115840\", alpha=\"0.02\", expect_size=\"28234752\"] \n  13 -> 20 [size =\"28234752\"]\n  13 -> 21 [size =\"28234752\"]\n  13 -> 22 [size =\"28234752\"]\n  13 -> 24 [size =\"28234752\"]\n  13 -> 25 [size =\"28234752\"]\n  13 -> 26 [size =\"28234752\"]\n  13 -> 28 [size =\"28234752\"]\n  14 [size=\"121146027\", alpha=\"0.18\", expect_size=\"36343808\"] \n  14 -> 16 [size =\"36343808\"]\n  14 -> 17 [size =\"36343808\"]\n  14 -> 18 [size =\"36343808\"]\n  14 -> 20 [size =\"36343808\"]\n  14 -> 24 [size =\"36343808\"]\n  14 -> 25 [size =\"36343808\"]\n  14 -> 28 [size =\"36343808\"]\n  15 [size=\"99863893\", alpha=\"0.11\", expect_size=\"29959168\"] \n  15 -> 16 [size =\"29959168\"]\n  15 -> 17 [size =\"29959168\"]\n  15 -> 21 [size =\"29959168\"]\n  15 -> 22 [size =\"29959168\"]\n  15 -> 29 [size =\"29959168\"]\n  15 -> 30 [size =\"29959168\"]\n  16 [size=\"59115520\", alpha=\"0.13\", expect_size=\"17734656\"] \n  16 -> 32 [size =\"17734656\"]\n  16 -> 39 [size =\"17734656\"]\n  16 -> 42 [size =\"17734656\"]\n  16 -> 44 [size =\"17734656\"]\n  17 [size=\"72468480\", alpha=\"0.06\", expect_size=\"21740544\"] \n  17 -> 32 [size =\"21740544\"]\n  17 -> 42 [size =\"21740544\"]\n  17 -> 45 [size =\"21740544\"]\n  18 [size=\"33307307\", alpha=\"0.13\", expect_size=\"9992192\"] \n  18 -> 31 [size =\"9992192\"]\n  18 -> 32 [size =\"9992192\"]\n  18 -> 34 [size =\"9992192\"]\n  18 -> 36 [size =\"9992192\"]\n  19 [size=\"172417707\", alpha=\"0.18\", expect_size=\"51725312\"] \n  19 -> 31 [size =\"51725312\"]\n  19 -> 32 [size =\"51725312\"]\n  19 -> 37 [size =\"51725312\"]\n  19 -> 39 [size =\"51725312\"]\n  19 -> 42 [size =\"51725312\"]\n  19 -> 44 [size =\"51725312\"]\n  20 [size=\"125740373\", alpha=\"0.14\", expect_size=\"37722112\"] \n  20 -> 32 [size =\"37722112\"]\n  20 -> 32 [size =\"37722112\"]\n  20 -> 33 [size =\"37722112\"]\n  20 -> 39 [size =\"37722112\"]\n  20 -> 42 [size =\"37722112\"]\n  20 -> 44 [size =\"37722112\"]\n  21 [size=\"50650453\", alpha=\"0.19\", expect_size=\"15195136\"] \n  21 -> 35 [size =\"15195136\"]\n  21 -> 36 [size =\"15195136\"]\n  21 -> 40 [size =\"15195136\"]\n  21 -> 43 [size =\"15195136\"]\n  22 [size=\"63484587\", alpha=\"0.02\", expect_size=\"19045376\"] \n  22 -> 31 [size =\"19045376\"]\n  22 -> 34 [size =\"19045376\"]\n  22 -> 35 [size =\"19045376\"]\n  22 -> 36 [size =\"19045376\"]\n  22 -> 39 [size =\"19045376\"]\n  22 -> 41 [size =\"19045376\"]\n  22 -> 42 [size =\"19045376\"]\n  23 [size=\"61760853\", alpha=\"0.17\", expect_size=\"18528256\"] \n  23 -> 31 [size =\"18528256\"]\n  23 -> 35 [size =\"18528256\"]\n  23 -> 38 [size =\"18528256\"]\n  24 [size=\"74383360\", alpha=\"0.17\", expect_size=\"22315008\"] \n  24 -> 36 [size =\"22315008\"]\n  24 -> 39 [size =\"22315008\"]\n  24 -> 40 [size =\"22315008\"]\n  24 -> 43 [size =\"22315008\"]\n  25 [size=\"57425920\", alpha=\"0.09\", expect_size=\"17227776\"] \n  25 -> 31 [size =\"17227776\"]\n  25 -> 40 [size =\"17227776\"]\n  25 -> 42 [size =\"17227776\"]\n  25 -> 45 [size =\"17227776\"]\n  26 [size=\"141684053\", alpha=\"0.10\", expect_size=\"42505216\"] \n  26 -> 31 [size =\"42505216\"]\n  26 -> 34 [size =\"42505216\"]\n  26 -> 44 [size =\"42505216\"]\n  27 [size=\"89982293\", alpha=\"0.18\", expect_size=\"26994688\"] \n  27 -> 31 [size =\"26994688\"]\n  27 -> 33 [size =\"26994688\"]\n  27 -> 36 [size =\"26994688\"]\n  27 -> 39 [size =\"26994688\"]\n  27 -> 44 [size =\"26994688\"]\n  28 [size=\"136250027\", alpha=\"0.19\", expect_size=\"40875008\"] \n  28 -> 33 [size =\"40875008\"]\n  28 -> 37 [size =\"40875008\"]\n  28 -> 43 [size =\"40875008\"]\n  28 -> 44 [size =\"40875008\"]\n  29 [size=\"81080320\", alpha=\"0.07\", expect_size=\"24324096\"] \n  29 -> 33 [size =\"24324096\"]\n  29 -> 36 [size =\"24324096\"]\n  29 -> 37 [size =\"24324096\"]\n  29 -> 43 [size =\"24324096\"]\n  30 [size=\"65631573\", alpha=\"0.11\", expect_size=\"19689472\"] \n  30 -> 32 [size =\"19689472\"]\n  30 -> 33 [size =\"19689472\"]\n  30 -> 39 [size =\"19689472\"]\n  30 -> 41 [size =\"19689472\"]\n  30 -> 44 [size =\"19689472\"]\n  31 [size=\"19213653\", alpha=\"0.17\", expect_size=\"5764096\"] \n  31 -> 47 [size =\"5764096\"]\n  31 -> 48 [size =\"5764096\"]\n  32 [size=\"172223147\", alpha=\"0.13\", expect_size=\"51666944\"] \n  32 -> 46 [size =\"51666944\"]\n  32 -> 47 [size =\"51666944\"]\n  32 -> 48 [size =\"51666944\"]\n  32 -> 50 [size =\"51666944\"]\n  33 [size=\"27603627\", alpha=\"0.20\", expect_size=\"8281088\"] \n  33 -> 50 [size =\"8281088\"]\n  34 [size=\"163177813\", alpha=\"0.20\", expect_size=\"48953344\"] \n  35 [size=\"141673813\", alpha=\"0.10\", expect_size=\"42502144\"] \n  35 -> 47 [size =\"42502144\"]\n  35 -> 48 [size =\"42502144\"]\n  36 [size=\"55128747\", alpha=\"0.05\", expect_size=\"16538624\"] \n  36 -> 48 [size =\"16538624\"]\n  37 [size=\"131386027\", alpha=\"0.07\", expect_size=\"39415808\"] \n  37 -> 47 [size =\"39415808\"]\n  37 -> 48 [size =\"39415808\"]\n  38 [size=\"116022613\", alpha=\"0.12\", expect_size=\"34806784\"] \n  38 -> 48 [size =\"34806784\"]\n  39 [size=\"111564800\", alpha=\"0.16\", expect_size=\"33469440\"] \n  40 [size=\"163351893\", alpha=\"0.14\", expect_size=\"49005568\"] \n  40 -> 46 [size =\"49005568\"]\n  40 -> 48 [size =\"49005568\"]\n  40 -> 50 [size =\"49005568\"]\n  41 [size=\"95914667\", alpha=\"0.16\", expect_size=\"28774400\"] \n  42 [size=\"69898240\", alpha=\"0.04\", expect_size=\"20969472\"] \n  42 -> 49 [size =\"20969472\"]\n  43 [size=\"18104320\", alpha=\"0.18\", expect_size=\"5431296\"] \n  43 -> 48 [size =\"5431296\"]\n  44 [size=\"174469120\", alpha=\"0.18\", expect_size=\"52340736\"] \n  45 [size=\"170799787\", alpha=\"0.04\", expect_size=\"51239936\"] \n  45 -> 46 [size =\"51239936\"]\n  45 -> 47 [size =\"51239936\"]\n  45 -> 50 [size =\"51239936\"]\n  46 [size=\"89483947\", alpha=\"0.06\", expect_size=\"26845184\"] \n  47 [size=\"129447253\", alpha=\"0.17\", expect_size=\"38834176\"] \n  48 [size=\"31115947\", alpha=\"0.03\", expect_size=\"9334784\"] \n  49 [size=\"124893867\", alpha=\"0.17\", expect_size=\"37468160\"] \n  50 [size=\"93859840\", alpha=\"0.17\", expect_size=\"28157952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.875.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12236800\", alpha=\"0.14\", expect_size=\"6118400\"] \n  1 -> 9 [size =\"6118400\"]\n  1 -> 11 [size =\"6118400\"]\n  1 -> 13 [size =\"6118400\"]\n  2 [size=\"49668096\", alpha=\"0.16\", expect_size=\"24834048\"] \n  3 [size=\"38361088\", alpha=\"0.19\", expect_size=\"19180544\"] \n  3 -> 9 [size =\"19180544\"]\n  3 -> 14 [size =\"19180544\"]\n  4 [size=\"73932800\", alpha=\"0.15\", expect_size=\"36966400\"] \n  4 -> 14 [size =\"36966400\"]\n  5 [size=\"84160512\", alpha=\"0.16\", expect_size=\"42080256\"] \n  5 -> 11 [size =\"42080256\"]\n  5 -> 12 [size =\"42080256\"]\n  5 -> 13 [size =\"42080256\"]\n  6 [size=\"92166144\", alpha=\"0.02\", expect_size=\"46083072\"] \n  6 -> 13 [size =\"46083072\"]\n  7 [size=\"36446208\", alpha=\"0.19\", expect_size=\"18223104\"] \n  7 -> 9 [size =\"18223104\"]\n  7 -> 12 [size =\"18223104\"]\n  8 [size=\"93607936\", alpha=\"0.16\", expect_size=\"46803968\"] \n  8 -> 9 [size =\"46803968\"]\n  8 -> 10 [size =\"46803968\"]\n  9 [size=\"34793472\", alpha=\"0.11\", expect_size=\"17396736\"] \n  9 -> 15 [size =\"17396736\"]\n  10 [size=\"19030016\", alpha=\"0.07\", expect_size=\"9515008\"] \n  10 -> 18 [size =\"9515008\"]\n  11 [size=\"12417024\", alpha=\"0.08\", expect_size=\"6208512\"] \n  11 -> 16 [size =\"6208512\"]\n  11 -> 17 [size =\"6208512\"]\n  11 -> 18 [size =\"6208512\"]\n  12 [size=\"77797376\", alpha=\"0.18\", expect_size=\"38898688\"] \n  12 -> 16 [size =\"38898688\"]\n  12 -> 18 [size =\"38898688\"]\n  13 [size=\"61143040\", alpha=\"0.14\", expect_size=\"30571520\"] \n  13 -> 19 [size =\"30571520\"]\n  13 -> 20 [size =\"30571520\"]\n  14 [size=\"56287232\", alpha=\"0.16\", expect_size=\"28143616\"] \n  14 -> 17 [size =\"28143616\"]\n  14 -> 19 [size =\"28143616\"]\n  15 [size=\"34818048\", alpha=\"0.10\", expect_size=\"17409024\"] \n  15 -> 23 [size =\"17409024\"]\n  15 -> 27 [size =\"17409024\"]\n  15 -> 28 [size =\"17409024\"]\n  16 [size=\"14839808\", alpha=\"0.14\", expect_size=\"7419904\"] \n  16 -> 23 [size =\"7419904\"]\n  16 -> 24 [size =\"7419904\"]\n  17 [size=\"25300992\", alpha=\"0.10\", expect_size=\"12650496\"] \n  17 -> 22 [size =\"12650496\"]\n  17 -> 24 [size =\"12650496\"]\n  17 -> 25 [size =\"12650496\"]\n  18 [size=\"22820864\", alpha=\"0.18\", expect_size=\"11410432\"] \n  18 -> 21 [size =\"11410432\"]\n  18 -> 25 [size =\"11410432\"]\n  19 [size=\"97054720\", alpha=\"0.16\", expect_size=\"48527360\"] \n  19 -> 23 [size =\"48527360\"]\n  19 -> 26 [size =\"48527360\"]\n  20 [size=\"55891968\", alpha=\"0.13\", expect_size=\"27945984\"] \n  20 -> 28 [size =\"27945984\"]\n  21 [size=\"87724032\", alpha=\"0.11\", expect_size=\"43862016\"] \n  21 -> 29 [size =\"43862016\"]\n  21 -> 32 [size =\"43862016\"]\n  21 -> 34 [size =\"43862016\"]\n  21 -> 35 [size =\"43862016\"]\n  21 -> 36 [size =\"43862016\"]\n  22 [size=\"33095680\", alpha=\"0.16\", expect_size=\"16547840\"] \n  22 -> 31 [size =\"16547840\"]\n  22 -> 33 [size =\"16547840\"]\n  22 -> 35 [size =\"16547840\"]\n  22 -> 36 [size =\"16547840\"]\n  23 [size=\"23246848\", alpha=\"0.08\", expect_size=\"11623424\"] \n  23 -> 30 [size =\"11623424\"]\n  23 -> 33 [size =\"11623424\"]\n  23 -> 34 [size =\"11623424\"]\n  23 -> 36 [size =\"11623424\"]\n  24 [size=\"87384064\", alpha=\"0.13\", expect_size=\"43692032\"] \n  24 -> 32 [size =\"43692032\"]\n  24 -> 35 [size =\"43692032\"]\n  24 -> 36 [size =\"43692032\"]\n  25 [size=\"69185536\", alpha=\"0.14\", expect_size=\"34592768\"] \n  25 -> 34 [size =\"34592768\"]\n  26 [size=\"22071296\", alpha=\"0.13\", expect_size=\"11035648\"] \n  26 -> 30 [size =\"11035648\"]\n  26 -> 33 [size =\"11035648\"]\n  27 [size=\"89202688\", alpha=\"0.16\", expect_size=\"44601344\"] \n  27 -> 29 [size =\"44601344\"]\n  27 -> 30 [size =\"44601344\"]\n  27 -> 31 [size =\"44601344\"]\n  27 -> 32 [size =\"44601344\"]\n  27 -> 33 [size =\"44601344\"]\n  27 -> 35 [size =\"44601344\"]\n  28 [size=\"40818688\", alpha=\"0.18\", expect_size=\"20409344\"] \n  28 -> 29 [size =\"20409344\"]\n  28 -> 30 [size =\"20409344\"]\n  28 -> 32 [size =\"20409344\"]\n  28 -> 32 [size =\"20409344\"]\n  28 -> 33 [size =\"20409344\"]\n  28 -> 34 [size =\"20409344\"]\n  29 [size=\"33566720\", alpha=\"0.04\", expect_size=\"16783360\"] \n  29 -> 38 [size =\"16783360\"]\n  30 [size=\"13160448\", alpha=\"0.12\", expect_size=\"6580224\"] \n  30 -> 37 [size =\"6580224\"]\n  30 -> 39 [size =\"6580224\"]\n  31 [size=\"74043392\", alpha=\"0.01\", expect_size=\"37021696\"] \n  31 -> 40 [size =\"37021696\"]\n  32 [size=\"29220864\", alpha=\"0.04\", expect_size=\"14610432\"] \n  32 -> 38 [size =\"14610432\"]\n  33 [size=\"12251136\", alpha=\"0.17\", expect_size=\"6125568\"] \n  34 [size=\"51007488\", alpha=\"0.01\", expect_size=\"25503744\"] \n  34 -> 39 [size =\"25503744\"]\n  35 [size=\"20197376\", alpha=\"0.09\", expect_size=\"10098688\"] \n  35 -> 37 [size =\"10098688\"]\n  35 -> 38 [size =\"10098688\"]\n  35 -> 39 [size =\"10098688\"]\n  36 [size=\"87863296\", alpha=\"0.19\", expect_size=\"43931648\"] \n  36 -> 37 [size =\"43931648\"]\n  36 -> 39 [size =\"43931648\"]\n  37 [size=\"52576256\", alpha=\"0.11\", expect_size=\"26288128\"] \n  37 -> 42 [size =\"26288128\"]\n  37 -> 47 [size =\"26288128\"]\n  38 [size=\"34668544\", alpha=\"0.07\", expect_size=\"17334272\"] \n  38 -> 43 [size =\"17334272\"]\n  38 -> 44 [size =\"17334272\"]\n  38 -> 45 [size =\"17334272\"]\n  38 -> 46 [size =\"17334272\"]\n  39 [size=\"22892544\", alpha=\"0.00\", expect_size=\"11446272\"] \n  39 -> 42 [size =\"11446272\"]\n  39 -> 48 [size =\"11446272\"]\n  40 [size=\"41555968\", alpha=\"0.03\", expect_size=\"20777984\"] \n  40 -> 41 [size =\"20777984\"]\n  40 -> 45 [size =\"20777984\"]\n  40 -> 46 [size =\"20777984\"]\n  40 -> 48 [size =\"20777984\"]\n  41 [size=\"99203072\", alpha=\"0.03\", expect_size=\"49601536\"] \n  41 -> 49 [size =\"49601536\"]\n  42 [size=\"103399424\", alpha=\"0.07\", expect_size=\"51699712\"] \n  42 -> 49 [size =\"51699712\"]\n  42 -> 50 [size =\"51699712\"]\n  43 [size=\"27078656\", alpha=\"0.14\", expect_size=\"13539328\"] \n  43 -> 49 [size =\"13539328\"]\n  43 -> 50 [size =\"13539328\"]\n  44 [size=\"15276032\", alpha=\"0.18\", expect_size=\"7638016\"] \n  44 -> 50 [size =\"7638016\"]\n  45 [size=\"19421184\", alpha=\"0.14\", expect_size=\"9710592\"] \n  45 -> 50 [size =\"9710592\"]\n  46 [size=\"63846400\", alpha=\"0.12\", expect_size=\"31923200\"] \n  47 [size=\"58535936\", alpha=\"0.07\", expect_size=\"29267968\"] \n  47 -> 50 [size =\"29267968\"]\n  48 [size=\"18309120\", alpha=\"0.08\", expect_size=\"9154560\"] \n  49 [size=\"49870848\", alpha=\"0.14\", expect_size=\"24935424\"] \n  50 [size=\"51048448\", alpha=\"0.01\", expect_size=\"25524224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.876.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41735680\", alpha=\"0.15\", expect_size=\"16694272\"] \n  1 -> 6 [size =\"16694272\"]\n  1 -> 7 [size =\"16694272\"]\n  1 -> 10 [size =\"16694272\"]\n  2 [size=\"79833600\", alpha=\"0.01\", expect_size=\"31933440\"] \n  2 -> 6 [size =\"31933440\"]\n  2 -> 7 [size =\"31933440\"]\n  3 [size=\"44431360\", alpha=\"0.14\", expect_size=\"17772544\"] \n  3 -> 9 [size =\"17772544\"]\n  4 [size=\"40732160\", alpha=\"0.08\", expect_size=\"16292864\"] \n  4 -> 7 [size =\"16292864\"]\n  4 -> 9 [size =\"16292864\"]\n  4 -> 10 [size =\"16292864\"]\n  5 [size=\"81077760\", alpha=\"0.12\", expect_size=\"32431104\"] \n  5 -> 7 [size =\"32431104\"]\n  5 -> 8 [size =\"32431104\"]\n  5 -> 9 [size =\"32431104\"]\n  6 [size=\"55288320\", alpha=\"0.11\", expect_size=\"22115328\"] \n  6 -> 14 [size =\"22115328\"]\n  6 -> 16 [size =\"22115328\"]\n  6 -> 17 [size =\"22115328\"]\n  7 [size=\"86658560\", alpha=\"0.17\", expect_size=\"34663424\"] \n  7 -> 11 [size =\"34663424\"]\n  7 -> 12 [size =\"34663424\"]\n  7 -> 14 [size =\"34663424\"]\n  7 -> 15 [size =\"34663424\"]\n  7 -> 17 [size =\"34663424\"]\n  8 [size=\"30517760\", alpha=\"0.02\", expect_size=\"12207104\"] \n  8 -> 11 [size =\"12207104\"]\n  8 -> 13 [size =\"12207104\"]\n  8 -> 15 [size =\"12207104\"]\n  8 -> 16 [size =\"12207104\"]\n  8 -> 17 [size =\"12207104\"]\n  9 [size=\"34227200\", alpha=\"0.03\", expect_size=\"13690880\"] \n  9 -> 13 [size =\"13690880\"]\n  9 -> 15 [size =\"13690880\"]\n  9 -> 16 [size =\"13690880\"]\n  10 [size=\"101683200\", alpha=\"0.17\", expect_size=\"40673280\"] \n  10 -> 11 [size =\"40673280\"]\n  10 -> 14 [size =\"40673280\"]\n  10 -> 17 [size =\"40673280\"]\n  11 [size=\"56048640\", alpha=\"0.16\", expect_size=\"22419456\"] \n  11 -> 20 [size =\"22419456\"]\n  11 -> 21 [size =\"22419456\"]\n  11 -> 22 [size =\"22419456\"]\n  12 [size=\"24693760\", alpha=\"0.08\", expect_size=\"9877504\"] \n  12 -> 21 [size =\"9877504\"]\n  13 [size=\"28774400\", alpha=\"0.10\", expect_size=\"11509760\"] \n  13 -> 20 [size =\"11509760\"]\n  13 -> 21 [size =\"11509760\"]\n  13 -> 22 [size =\"11509760\"]\n  14 [size=\"108928000\", alpha=\"0.18\", expect_size=\"43571200\"] \n  14 -> 18 [size =\"43571200\"]\n  14 -> 22 [size =\"43571200\"]\n  15 [size=\"41077760\", alpha=\"0.16\", expect_size=\"16431104\"] \n  16 [size=\"112453120\", alpha=\"0.09\", expect_size=\"44981248\"] \n  16 -> 19 [size =\"44981248\"]\n  16 -> 20 [size =\"44981248\"]\n  16 -> 22 [size =\"44981248\"]\n  17 [size=\"57489920\", alpha=\"0.00\", expect_size=\"22995968\"] \n  17 -> 20 [size =\"22995968\"]\n  17 -> 22 [size =\"22995968\"]\n  18 [size=\"39833600\", alpha=\"0.08\", expect_size=\"15933440\"] \n  18 -> 24 [size =\"15933440\"]\n  18 -> 26 [size =\"15933440\"]\n  18 -> 27 [size =\"15933440\"]\n  19 [size=\"51289600\", alpha=\"0.09\", expect_size=\"20515840\"] \n  19 -> 29 [size =\"20515840\"]\n  20 [size=\"69585920\", alpha=\"0.07\", expect_size=\"27834368\"] \n  20 -> 26 [size =\"27834368\"]\n  20 -> 29 [size =\"27834368\"]\n  21 [size=\"54602240\", alpha=\"0.11\", expect_size=\"21840896\"] \n  21 -> 24 [size =\"21840896\"]\n  21 -> 25 [size =\"21840896\"]\n  21 -> 28 [size =\"21840896\"]\n  21 -> 29 [size =\"21840896\"]\n  22 [size=\"30520320\", alpha=\"0.06\", expect_size=\"12208128\"] \n  22 -> 23 [size =\"12208128\"]\n  22 -> 25 [size =\"12208128\"]\n  22 -> 26 [size =\"12208128\"]\n  22 -> 29 [size =\"12208128\"]\n  23 [size=\"74872320\", alpha=\"0.05\", expect_size=\"29948928\"] \n  23 -> 30 [size =\"29948928\"]\n  23 -> 31 [size =\"29948928\"]\n  23 -> 33 [size =\"29948928\"]\n  23 -> 34 [size =\"29948928\"]\n  23 -> 37 [size =\"29948928\"]\n  24 [size=\"15772160\", alpha=\"0.10\", expect_size=\"6308864\"] \n  24 -> 30 [size =\"6308864\"]\n  24 -> 34 [size =\"6308864\"]\n  24 -> 35 [size =\"6308864\"]\n  24 -> 37 [size =\"6308864\"]\n  25 [size=\"121973760\", alpha=\"0.06\", expect_size=\"48789504\"] \n  25 -> 30 [size =\"48789504\"]\n  25 -> 31 [size =\"48789504\"]\n  25 -> 34 [size =\"48789504\"]\n  25 -> 35 [size =\"48789504\"]\n  25 -> 36 [size =\"48789504\"]\n  25 -> 37 [size =\"48789504\"]\n  26 [size=\"99806720\", alpha=\"0.10\", expect_size=\"39922688\"] \n  26 -> 32 [size =\"39922688\"]\n  26 -> 36 [size =\"39922688\"]\n  26 -> 37 [size =\"39922688\"]\n  27 [size=\"34091520\", alpha=\"0.06\", expect_size=\"13636608\"] \n  27 -> 31 [size =\"13636608\"]\n  27 -> 34 [size =\"13636608\"]\n  27 -> 35 [size =\"13636608\"]\n  27 -> 36 [size =\"13636608\"]\n  27 -> 37 [size =\"13636608\"]\n  28 [size=\"34501120\", alpha=\"0.04\", expect_size=\"13800448\"] \n  28 -> 30 [size =\"13800448\"]\n  28 -> 36 [size =\"13800448\"]\n  29 [size=\"82513920\", alpha=\"0.07\", expect_size=\"33005568\"] \n  29 -> 30 [size =\"33005568\"]\n  29 -> 31 [size =\"33005568\"]\n  29 -> 34 [size =\"33005568\"]\n  29 -> 35 [size =\"33005568\"]\n  29 -> 36 [size =\"33005568\"]\n  30 [size=\"17285120\", alpha=\"0.04\", expect_size=\"6914048\"] \n  30 -> 38 [size =\"6914048\"]\n  30 -> 39 [size =\"6914048\"]\n  30 -> 40 [size =\"6914048\"]\n  30 -> 44 [size =\"6914048\"]\n  31 [size=\"61258240\", alpha=\"0.09\", expect_size=\"24503296\"] \n  31 -> 39 [size =\"24503296\"]\n  32 [size=\"125096960\", alpha=\"0.15\", expect_size=\"50038784\"] \n  32 -> 39 [size =\"50038784\"]\n  32 -> 40 [size =\"50038784\"]\n  32 -> 41 [size =\"50038784\"]\n  33 [size=\"39600640\", alpha=\"0.05\", expect_size=\"15840256\"] \n  33 -> 41 [size =\"15840256\"]\n  33 -> 42 [size =\"15840256\"]\n  34 [size=\"72023040\", alpha=\"0.10\", expect_size=\"28809216\"] \n  34 -> 41 [size =\"28809216\"]\n  34 -> 44 [size =\"28809216\"]\n  35 [size=\"14062080\", alpha=\"0.00\", expect_size=\"5624832\"] \n  35 -> 38 [size =\"5624832\"]\n  35 -> 41 [size =\"5624832\"]\n  36 [size=\"51650560\", alpha=\"0.07\", expect_size=\"20660224\"] \n  36 -> 41 [size =\"20660224\"]\n  36 -> 43 [size =\"20660224\"]\n  37 [size=\"109012480\", alpha=\"0.02\", expect_size=\"43604992\"] \n  37 -> 38 [size =\"43604992\"]\n  37 -> 39 [size =\"43604992\"]\n  37 -> 40 [size =\"43604992\"]\n  38 [size=\"23767040\", alpha=\"0.01\", expect_size=\"9506816\"] \n  38 -> 45 [size =\"9506816\"]\n  38 -> 47 [size =\"9506816\"]\n  39 [size=\"49256960\", alpha=\"0.07\", expect_size=\"19702784\"] \n  39 -> 46 [size =\"19702784\"]\n  39 -> 47 [size =\"19702784\"]\n  39 -> 48 [size =\"19702784\"]\n  40 [size=\"88637440\", alpha=\"0.02\", expect_size=\"35454976\"] \n  40 -> 45 [size =\"35454976\"]\n  40 -> 47 [size =\"35454976\"]\n  40 -> 50 [size =\"35454976\"]\n  41 [size=\"112522240\", alpha=\"0.04\", expect_size=\"45008896\"] \n  41 -> 46 [size =\"45008896\"]\n  41 -> 48 [size =\"45008896\"]\n  42 [size=\"45890560\", alpha=\"0.10\", expect_size=\"18356224\"] \n  42 -> 46 [size =\"18356224\"]\n  42 -> 48 [size =\"18356224\"]\n  43 [size=\"18293760\", alpha=\"0.05\", expect_size=\"7317504\"] \n  43 -> 45 [size =\"7317504\"]\n  43 -> 46 [size =\"7317504\"]\n  43 -> 47 [size =\"7317504\"]\n  43 -> 48 [size =\"7317504\"]\n  43 -> 49 [size =\"7317504\"]\n  44 [size=\"45401600\", alpha=\"0.01\", expect_size=\"18160640\"] \n  44 -> 45 [size =\"18160640\"]\n  45 [size=\"105072640\", alpha=\"0.16\", expect_size=\"42029056\"] \n  46 [size=\"107312640\", alpha=\"0.05\", expect_size=\"42925056\"] \n  47 [size=\"33502720\", alpha=\"0.18\", expect_size=\"13401088\"] \n  48 [size=\"45990400\", alpha=\"0.15\", expect_size=\"18396160\"] \n  49 [size=\"53544960\", alpha=\"0.03\", expect_size=\"21417984\"] \n  50 [size=\"94346240\", alpha=\"0.12\", expect_size=\"37738496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.877.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"140721493\", alpha=\"0.14\", expect_size=\"42216448\"] \n  1 -> 4 [size =\"42216448\"]\n  2 [size=\"168263680\", alpha=\"0.09\", expect_size=\"50479104\"] \n  2 -> 5 [size =\"50479104\"]\n  3 [size=\"133461333\", alpha=\"0.12\", expect_size=\"40038400\"] \n  4 [size=\"28474027\", alpha=\"0.09\", expect_size=\"8542208\"] \n  4 -> 6 [size =\"8542208\"]\n  4 -> 7 [size =\"8542208\"]\n  4 -> 8 [size =\"8542208\"]\n  5 [size=\"70321493\", alpha=\"0.09\", expect_size=\"21096448\"] \n  6 [size=\"49619627\", alpha=\"0.15\", expect_size=\"14885888\"] \n  6 -> 10 [size =\"14885888\"]\n  7 [size=\"126948693\", alpha=\"0.08\", expect_size=\"38084608\"] \n  8 [size=\"88381440\", alpha=\"0.14\", expect_size=\"26514432\"] \n  8 -> 9 [size =\"26514432\"]\n  9 [size=\"38171307\", alpha=\"0.14\", expect_size=\"11451392\"] \n  9 -> 11 [size =\"11451392\"]\n  9 -> 13 [size =\"11451392\"]\n  10 [size=\"150408533\", alpha=\"0.13\", expect_size=\"45122560\"] \n  10 -> 12 [size =\"45122560\"]\n  11 [size=\"55715840\", alpha=\"0.10\", expect_size=\"16714752\"] \n  11 -> 15 [size =\"16714752\"]\n  12 [size=\"165690027\", alpha=\"0.16\", expect_size=\"49707008\"] \n  13 [size=\"80052907\", alpha=\"0.09\", expect_size=\"24015872\"] \n  13 -> 14 [size =\"24015872\"]\n  14 [size=\"18561707\", alpha=\"0.04\", expect_size=\"5568512\"] \n  14 -> 17 [size =\"5568512\"]\n  15 [size=\"85913600\", alpha=\"0.09\", expect_size=\"25774080\"] \n  15 -> 16 [size =\"25774080\"]\n  16 [size=\"155658240\", alpha=\"0.16\", expect_size=\"46697472\"] \n  16 -> 18 [size =\"46697472\"]\n  16 -> 19 [size =\"46697472\"]\n  17 [size=\"114913280\", alpha=\"0.06\", expect_size=\"34473984\"] \n  18 [size=\"22743040\", alpha=\"0.16\", expect_size=\"6822912\"] \n  18 -> 20 [size =\"6822912\"]\n  19 [size=\"131860480\", alpha=\"0.11\", expect_size=\"39558144\"] \n  19 -> 21 [size =\"39558144\"]\n  20 [size=\"83244373\", alpha=\"0.17\", expect_size=\"24973312\"] \n  20 -> 22 [size =\"24973312\"]\n  20 -> 23 [size =\"24973312\"]\n  21 [size=\"30784853\", alpha=\"0.19\", expect_size=\"9235456\"] \n  21 -> 24 [size =\"9235456\"]\n  22 [size=\"107059200\", alpha=\"0.19\", expect_size=\"32117760\"] \n  22 -> 25 [size =\"32117760\"]\n  22 -> 27 [size =\"32117760\"]\n  23 [size=\"75229867\", alpha=\"0.14\", expect_size=\"22568960\"] \n  23 -> 26 [size =\"22568960\"]\n  24 [size=\"143889067\", alpha=\"0.11\", expect_size=\"43166720\"] \n  24 -> 25 [size =\"43166720\"]\n  25 [size=\"171936427\", alpha=\"0.15\", expect_size=\"51580928\"] \n  26 [size=\"87381333\", alpha=\"0.02\", expect_size=\"26214400\"] \n  26 -> 28 [size =\"26214400\"]\n  26 -> 29 [size =\"26214400\"]\n  27 [size=\"54630400\", alpha=\"0.03\", expect_size=\"16389120\"] \n  27 -> 28 [size =\"16389120\"]\n  28 [size=\"98150400\", alpha=\"0.14\", expect_size=\"29445120\"] \n  28 -> 30 [size =\"29445120\"]\n  28 -> 31 [size =\"29445120\"]\n  29 [size=\"67990187\", alpha=\"0.07\", expect_size=\"20397056\"] \n  30 [size=\"158303573\", alpha=\"0.17\", expect_size=\"47491072\"] \n  30 -> 33 [size =\"47491072\"]\n  30 -> 34 [size =\"47491072\"]\n  31 [size=\"136195413\", alpha=\"0.12\", expect_size=\"40858624\"] \n  31 -> 32 [size =\"40858624\"]\n  32 [size=\"124914347\", alpha=\"0.05\", expect_size=\"37474304\"] \n  32 -> 36 [size =\"37474304\"]\n  33 [size=\"117968213\", alpha=\"0.07\", expect_size=\"35390464\"] \n  33 -> 35 [size =\"35390464\"]\n  34 [size=\"74052267\", alpha=\"0.09\", expect_size=\"22215680\"] \n  35 [size=\"161457493\", alpha=\"0.19\", expect_size=\"48437248\"] \n  35 -> 38 [size =\"48437248\"]\n  36 [size=\"118456320\", alpha=\"0.07\", expect_size=\"35536896\"] \n  36 -> 37 [size =\"35536896\"]\n  36 -> 39 [size =\"35536896\"]\n  37 [size=\"134481920\", alpha=\"0.08\", expect_size=\"40344576\"] \n  37 -> 41 [size =\"40344576\"]\n  37 -> 42 [size =\"40344576\"]\n  38 [size=\"161720320\", alpha=\"0.09\", expect_size=\"48516096\"] \n  38 -> 40 [size =\"48516096\"]\n  39 [size=\"113793707\", alpha=\"0.05\", expect_size=\"34138112\"] \n  39 -> 40 [size =\"34138112\"]\n  39 -> 41 [size =\"34138112\"]\n  40 [size=\"168683520\", alpha=\"0.09\", expect_size=\"50605056\"] \n  40 -> 44 [size =\"50605056\"]\n  40 -> 45 [size =\"50605056\"]\n  41 [size=\"144752640\", alpha=\"0.14\", expect_size=\"43425792\"] \n  41 -> 43 [size =\"43425792\"]\n  41 -> 44 [size =\"43425792\"]\n  41 -> 45 [size =\"43425792\"]\n  42 [size=\"80240640\", alpha=\"0.12\", expect_size=\"24072192\"] \n  43 [size=\"123357867\", alpha=\"0.16\", expect_size=\"37007360\"] \n  43 -> 46 [size =\"37007360\"]\n  43 -> 47 [size =\"37007360\"]\n  44 [size=\"22114987\", alpha=\"0.16\", expect_size=\"6634496\"] \n  44 -> 46 [size =\"6634496\"]\n  45 [size=\"92173653\", alpha=\"0.17\", expect_size=\"27652096\"] \n  45 -> 48 [size =\"27652096\"]\n  46 [size=\"87394987\", alpha=\"0.06\", expect_size=\"26218496\"] \n  47 [size=\"145971200\", alpha=\"0.19\", expect_size=\"43791360\"] \n  47 -> 49 [size =\"43791360\"]\n  48 [size=\"50763093\", alpha=\"0.04\", expect_size=\"15228928\"] \n  48 -> 49 [size =\"15228928\"]\n  48 -> 50 [size =\"15228928\"]\n  49 [size=\"121613653\", alpha=\"0.14\", expect_size=\"36484096\"] \n  50 [size=\"158337707\", alpha=\"0.02\", expect_size=\"47501312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.878.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91095040\", alpha=\"0.19\", expect_size=\"27328512\"] \n  1 -> 20 [size =\"27328512\"]\n  1 -> 21 [size =\"27328512\"]\n  2 [size=\"57804800\", alpha=\"0.03\", expect_size=\"17341440\"] \n  2 -> 15 [size =\"17341440\"]\n  2 -> 16 [size =\"17341440\"]\n  2 -> 20 [size =\"17341440\"]\n  2 -> 21 [size =\"17341440\"]\n  2 -> 22 [size =\"17341440\"]\n  2 -> 24 [size =\"17341440\"]\n  2 -> 26 [size =\"17341440\"]\n  3 [size=\"144110933\", alpha=\"0.14\", expect_size=\"43233280\"] \n  3 -> 18 [size =\"43233280\"]\n  3 -> 21 [size =\"43233280\"]\n  3 -> 22 [size =\"43233280\"]\n  3 -> 26 [size =\"43233280\"]\n  4 [size=\"93535573\", alpha=\"0.05\", expect_size=\"28060672\"] \n  4 -> 16 [size =\"28060672\"]\n  4 -> 19 [size =\"28060672\"]\n  4 -> 21 [size =\"28060672\"]\n  4 -> 25 [size =\"28060672\"]\n  4 -> 26 [size =\"28060672\"]\n  5 [size=\"63685973\", alpha=\"0.12\", expect_size=\"19105792\"] \n  5 -> 17 [size =\"19105792\"]\n  5 -> 19 [size =\"19105792\"]\n  5 -> 24 [size =\"19105792\"]\n  5 -> 25 [size =\"19105792\"]\n  6 [size=\"152371200\", alpha=\"0.13\", expect_size=\"45711360\"] \n  6 -> 15 [size =\"45711360\"]\n  6 -> 18 [size =\"45711360\"]\n  6 -> 19 [size =\"45711360\"]\n  6 -> 25 [size =\"45711360\"]\n  7 [size=\"159406080\", alpha=\"0.03\", expect_size=\"47821824\"] \n  7 -> 15 [size =\"47821824\"]\n  7 -> 22 [size =\"47821824\"]\n  7 -> 24 [size =\"47821824\"]\n  8 [size=\"145623040\", alpha=\"0.16\", expect_size=\"43686912\"] \n  8 -> 18 [size =\"43686912\"]\n  8 -> 19 [size =\"43686912\"]\n  8 -> 20 [size =\"43686912\"]\n  8 -> 21 [size =\"43686912\"]\n  8 -> 22 [size =\"43686912\"]\n  8 -> 24 [size =\"43686912\"]\n  9 [size=\"118760107\", alpha=\"0.08\", expect_size=\"35628032\"] \n  9 -> 19 [size =\"35628032\"]\n  9 -> 22 [size =\"35628032\"]\n  9 -> 24 [size =\"35628032\"]\n  9 -> 25 [size =\"35628032\"]\n  10 [size=\"34587307\", alpha=\"0.05\", expect_size=\"10376192\"] \n  10 -> 16 [size =\"10376192\"]\n  10 -> 21 [size =\"10376192\"]\n  10 -> 23 [size =\"10376192\"]\n  10 -> 24 [size =\"10376192\"]\n  11 [size=\"23616853\", alpha=\"0.03\", expect_size=\"7085056\"] \n  11 -> 15 [size =\"7085056\"]\n  11 -> 21 [size =\"7085056\"]\n  11 -> 24 [size =\"7085056\"]\n  11 -> 24 [size =\"7085056\"]\n  11 -> 26 [size =\"7085056\"]\n  12 [size=\"174120960\", alpha=\"0.12\", expect_size=\"52236288\"] \n  12 -> 18 [size =\"52236288\"]\n  12 -> 26 [size =\"52236288\"]\n  13 [size=\"44025173\", alpha=\"0.02\", expect_size=\"13207552\"] \n  13 -> 17 [size =\"13207552\"]\n  13 -> 18 [size =\"13207552\"]\n  13 -> 22 [size =\"13207552\"]\n  14 [size=\"150630400\", alpha=\"0.16\", expect_size=\"45189120\"] \n  14 -> 16 [size =\"45189120\"]\n  14 -> 21 [size =\"45189120\"]\n  14 -> 24 [size =\"45189120\"]\n  14 -> 26 [size =\"45189120\"]\n  15 [size=\"31583573\", alpha=\"0.08\", expect_size=\"9475072\"] \n  15 -> 32 [size =\"9475072\"]\n  15 -> 34 [size =\"9475072\"]\n  15 -> 35 [size =\"9475072\"]\n  15 -> 36 [size =\"9475072\"]\n  15 -> 38 [size =\"9475072\"]\n  15 -> 40 [size =\"9475072\"]\n  15 -> 44 [size =\"9475072\"]\n  16 [size=\"129259520\", alpha=\"0.02\", expect_size=\"38777856\"] \n  16 -> 27 [size =\"38777856\"]\n  16 -> 30 [size =\"38777856\"]\n  16 -> 34 [size =\"38777856\"]\n  16 -> 35 [size =\"38777856\"]\n  16 -> 36 [size =\"38777856\"]\n  16 -> 40 [size =\"38777856\"]\n  16 -> 41 [size =\"38777856\"]\n  16 -> 44 [size =\"38777856\"]\n  17 [size=\"70656000\", alpha=\"0.15\", expect_size=\"21196800\"] \n  17 -> 27 [size =\"21196800\"]\n  17 -> 28 [size =\"21196800\"]\n  17 -> 32 [size =\"21196800\"]\n  17 -> 35 [size =\"21196800\"]\n  17 -> 36 [size =\"21196800\"]\n  17 -> 37 [size =\"21196800\"]\n  17 -> 39 [size =\"21196800\"]\n  17 -> 40 [size =\"21196800\"]\n  17 -> 41 [size =\"21196800\"]\n  17 -> 42 [size =\"21196800\"]\n  17 -> 44 [size =\"21196800\"]\n  18 [size=\"97515520\", alpha=\"0.15\", expect_size=\"29254656\"] \n  18 -> 27 [size =\"29254656\"]\n  18 -> 34 [size =\"29254656\"]\n  18 -> 35 [size =\"29254656\"]\n  18 -> 37 [size =\"29254656\"]\n  18 -> 38 [size =\"29254656\"]\n  18 -> 39 [size =\"29254656\"]\n  18 -> 40 [size =\"29254656\"]\n  18 -> 40 [size =\"29254656\"]\n  18 -> 41 [size =\"29254656\"]\n  18 -> 42 [size =\"29254656\"]\n  19 [size=\"64286720\", alpha=\"0.03\", expect_size=\"19286016\"] \n  19 -> 32 [size =\"19286016\"]\n  19 -> 35 [size =\"19286016\"]\n  19 -> 37 [size =\"19286016\"]\n  19 -> 37 [size =\"19286016\"]\n  19 -> 39 [size =\"19286016\"]\n  20 [size=\"128843093\", alpha=\"0.17\", expect_size=\"38652928\"] \n  20 -> 27 [size =\"38652928\"]\n  20 -> 32 [size =\"38652928\"]\n  20 -> 33 [size =\"38652928\"]\n  20 -> 35 [size =\"38652928\"]\n  20 -> 36 [size =\"38652928\"]\n  20 -> 39 [size =\"38652928\"]\n  20 -> 41 [size =\"38652928\"]\n  20 -> 43 [size =\"38652928\"]\n  20 -> 44 [size =\"38652928\"]\n  21 [size=\"170246827\", alpha=\"0.20\", expect_size=\"51074048\"] \n  21 -> 31 [size =\"51074048\"]\n  21 -> 33 [size =\"51074048\"]\n  21 -> 37 [size =\"51074048\"]\n  21 -> 39 [size =\"51074048\"]\n  21 -> 42 [size =\"51074048\"]\n  21 -> 43 [size =\"51074048\"]\n  21 -> 44 [size =\"51074048\"]\n  22 [size=\"32976213\", alpha=\"0.08\", expect_size=\"9892864\"] \n  22 -> 27 [size =\"9892864\"]\n  22 -> 37 [size =\"9892864\"]\n  22 -> 38 [size =\"9892864\"]\n  22 -> 42 [size =\"9892864\"]\n  22 -> 43 [size =\"9892864\"]\n  22 -> 44 [size =\"9892864\"]\n  23 [size=\"128686080\", alpha=\"0.12\", expect_size=\"38605824\"] \n  23 -> 32 [size =\"38605824\"]\n  23 -> 33 [size =\"38605824\"]\n  23 -> 34 [size =\"38605824\"]\n  23 -> 35 [size =\"38605824\"]\n  23 -> 38 [size =\"38605824\"]\n  23 -> 39 [size =\"38605824\"]\n  23 -> 41 [size =\"38605824\"]\n  24 [size=\"147271680\", alpha=\"0.05\", expect_size=\"44181504\"] \n  24 -> 27 [size =\"44181504\"]\n  24 -> 32 [size =\"44181504\"]\n  24 -> 33 [size =\"44181504\"]\n  24 -> 36 [size =\"44181504\"]\n  24 -> 42 [size =\"44181504\"]\n  25 [size=\"114616320\", alpha=\"0.05\", expect_size=\"34384896\"] \n  25 -> 31 [size =\"34384896\"]\n  25 -> 32 [size =\"34384896\"]\n  25 -> 33 [size =\"34384896\"]\n  25 -> 34 [size =\"34384896\"]\n  25 -> 36 [size =\"34384896\"]\n  25 -> 42 [size =\"34384896\"]\n  26 [size=\"18039467\", alpha=\"0.02\", expect_size=\"5411840\"] \n  26 -> 29 [size =\"5411840\"]\n  26 -> 32 [size =\"5411840\"]\n  26 -> 35 [size =\"5411840\"]\n  26 -> 36 [size =\"5411840\"]\n  26 -> 37 [size =\"5411840\"]\n  26 -> 39 [size =\"5411840\"]\n  26 -> 42 [size =\"5411840\"]\n  26 -> 44 [size =\"5411840\"]\n  27 [size=\"32276480\", alpha=\"0.17\", expect_size=\"9682944\"] \n  27 -> 47 [size =\"9682944\"]\n  28 [size=\"151896747\", alpha=\"0.08\", expect_size=\"45569024\"] \n  28 -> 46 [size =\"45569024\"]\n  28 -> 50 [size =\"45569024\"]\n  29 [size=\"110772907\", alpha=\"0.12\", expect_size=\"33231872\"] \n  30 [size=\"137567573\", alpha=\"0.18\", expect_size=\"41270272\"] \n  30 -> 49 [size =\"41270272\"]\n  30 -> 50 [size =\"41270272\"]\n  31 [size=\"112865280\", alpha=\"0.05\", expect_size=\"33859584\"] \n  31 -> 49 [size =\"33859584\"]\n  31 -> 50 [size =\"33859584\"]\n  32 [size=\"110288213\", alpha=\"0.11\", expect_size=\"33086464\"] \n  32 -> 50 [size =\"33086464\"]\n  33 [size=\"170161493\", alpha=\"0.02\", expect_size=\"51048448\"] \n  33 -> 50 [size =\"51048448\"]\n  34 [size=\"104550400\", alpha=\"0.09\", expect_size=\"31365120\"] \n  34 -> 45 [size =\"31365120\"]\n  34 -> 50 [size =\"31365120\"]\n  35 [size=\"146804053\", alpha=\"0.18\", expect_size=\"44041216\"] \n  35 -> 45 [size =\"44041216\"]\n  35 -> 50 [size =\"44041216\"]\n  36 [size=\"28559360\", alpha=\"0.01\", expect_size=\"8567808\"] \n  36 -> 47 [size =\"8567808\"]\n  36 -> 48 [size =\"8567808\"]\n  36 -> 50 [size =\"8567808\"]\n  37 [size=\"42001067\", alpha=\"0.11\", expect_size=\"12600320\"] \n  37 -> 46 [size =\"12600320\"]\n  37 -> 47 [size =\"12600320\"]\n  37 -> 50 [size =\"12600320\"]\n  38 [size=\"171776000\", alpha=\"0.11\", expect_size=\"51532800\"] \n  39 [size=\"74164907\", alpha=\"0.17\", expect_size=\"22249472\"] \n  39 -> 46 [size =\"22249472\"]\n  40 [size=\"165034667\", alpha=\"0.17\", expect_size=\"49510400\"] \n  40 -> 46 [size =\"49510400\"]\n  40 -> 50 [size =\"49510400\"]\n  41 [size=\"146916693\", alpha=\"0.17\", expect_size=\"44075008\"] \n  41 -> 46 [size =\"44075008\"]\n  41 -> 50 [size =\"44075008\"]\n  42 [size=\"25961813\", alpha=\"0.18\", expect_size=\"7788544\"] \n  42 -> 46 [size =\"7788544\"]\n  43 [size=\"116094293\", alpha=\"0.14\", expect_size=\"34828288\"] \n  44 [size=\"129300480\", alpha=\"0.06\", expect_size=\"38790144\"] \n  44 -> 46 [size =\"38790144\"]\n  44 -> 47 [size =\"38790144\"]\n  45 [size=\"41448107\", alpha=\"0.11\", expect_size=\"12434432\"] \n  46 [size=\"23930880\", alpha=\"0.16\", expect_size=\"7179264\"] \n  47 [size=\"31249067\", alpha=\"0.02\", expect_size=\"9374720\"] \n  48 [size=\"116582400\", alpha=\"0.06\", expect_size=\"34974720\"] \n  49 [size=\"45404160\", alpha=\"0.01\", expect_size=\"13621248\"] \n  50 [size=\"21811200\", alpha=\"0.12\", expect_size=\"6543360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.879.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102394880\", alpha=\"0.05\", expect_size=\"40957952\"] \n  1 -> 36 [size =\"40957952\"]\n  1 -> 37 [size =\"40957952\"]\n  1 -> 38 [size =\"40957952\"]\n  1 -> 39 [size =\"40957952\"]\n  1 -> 48 [size =\"40957952\"]\n  2 [size=\"15682560\", alpha=\"0.03\", expect_size=\"6273024\"] \n  2 -> 36 [size =\"6273024\"]\n  2 -> 38 [size =\"6273024\"]\n  2 -> 39 [size =\"6273024\"]\n  2 -> 42 [size =\"6273024\"]\n  2 -> 48 [size =\"6273024\"]\n  3 [size=\"118341120\", alpha=\"0.07\", expect_size=\"47336448\"] \n  3 -> 39 [size =\"47336448\"]\n  3 -> 42 [size =\"47336448\"]\n  4 [size=\"129722880\", alpha=\"0.03\", expect_size=\"51889152\"] \n  4 -> 36 [size =\"51889152\"]\n  4 -> 40 [size =\"51889152\"]\n  4 -> 42 [size =\"51889152\"]\n  4 -> 45 [size =\"51889152\"]\n  4 -> 49 [size =\"51889152\"]\n  4 -> 50 [size =\"51889152\"]\n  5 [size=\"88714240\", alpha=\"0.17\", expect_size=\"35485696\"] \n  5 -> 36 [size =\"35485696\"]\n  5 -> 37 [size =\"35485696\"]\n  5 -> 39 [size =\"35485696\"]\n  5 -> 40 [size =\"35485696\"]\n  5 -> 42 [size =\"35485696\"]\n  5 -> 48 [size =\"35485696\"]\n  5 -> 49 [size =\"35485696\"]\n  5 -> 50 [size =\"35485696\"]\n  6 [size=\"116528640\", alpha=\"0.07\", expect_size=\"46611456\"] \n  6 -> 35 [size =\"46611456\"]\n  6 -> 36 [size =\"46611456\"]\n  6 -> 37 [size =\"46611456\"]\n  6 -> 39 [size =\"46611456\"]\n  6 -> 43 [size =\"46611456\"]\n  6 -> 49 [size =\"46611456\"]\n  6 -> 50 [size =\"46611456\"]\n  6 -> 50 [size =\"46611456\"]\n  7 [size=\"120463360\", alpha=\"0.10\", expect_size=\"48185344\"] \n  7 -> 36 [size =\"48185344\"]\n  7 -> 37 [size =\"48185344\"]\n  7 -> 37 [size =\"48185344\"]\n  7 -> 45 [size =\"48185344\"]\n  7 -> 46 [size =\"48185344\"]\n  7 -> 48 [size =\"48185344\"]\n  7 -> 50 [size =\"48185344\"]\n  8 [size=\"44915200\", alpha=\"0.15\", expect_size=\"17966080\"] \n  8 -> 37 [size =\"17966080\"]\n  8 -> 39 [size =\"17966080\"]\n  8 -> 48 [size =\"17966080\"]\n  9 [size=\"82826240\", alpha=\"0.08\", expect_size=\"33130496\"] \n  9 -> 37 [size =\"33130496\"]\n  9 -> 38 [size =\"33130496\"]\n  9 -> 39 [size =\"33130496\"]\n  9 -> 41 [size =\"33130496\"]\n  9 -> 48 [size =\"33130496\"]\n  10 [size=\"113858560\", alpha=\"0.19\", expect_size=\"45543424\"] \n  10 -> 35 [size =\"45543424\"]\n  10 -> 37 [size =\"45543424\"]\n  10 -> 38 [size =\"45543424\"]\n  10 -> 39 [size =\"45543424\"]\n  10 -> 41 [size =\"45543424\"]\n  10 -> 45 [size =\"45543424\"]\n  11 [size=\"52108800\", alpha=\"0.07\", expect_size=\"20843520\"] \n  11 -> 38 [size =\"20843520\"]\n  11 -> 48 [size =\"20843520\"]\n  11 -> 50 [size =\"20843520\"]\n  12 [size=\"83504640\", alpha=\"0.17\", expect_size=\"33401856\"] \n  12 -> 37 [size =\"33401856\"]\n  12 -> 45 [size =\"33401856\"]\n  12 -> 48 [size =\"33401856\"]\n  12 -> 49 [size =\"33401856\"]\n  13 [size=\"99648000\", alpha=\"0.06\", expect_size=\"39859200\"] \n  13 -> 35 [size =\"39859200\"]\n  13 -> 37 [size =\"39859200\"]\n  13 -> 42 [size =\"39859200\"]\n  13 -> 48 [size =\"39859200\"]\n  13 -> 50 [size =\"39859200\"]\n  14 [size=\"20395520\", alpha=\"0.03\", expect_size=\"8158208\"] \n  14 -> 40 [size =\"8158208\"]\n  14 -> 43 [size =\"8158208\"]\n  14 -> 45 [size =\"8158208\"]\n  14 -> 48 [size =\"8158208\"]\n  15 [size=\"36055040\", alpha=\"0.06\", expect_size=\"14422016\"] \n  15 -> 37 [size =\"14422016\"]\n  15 -> 38 [size =\"14422016\"]\n  15 -> 42 [size =\"14422016\"]\n  15 -> 48 [size =\"14422016\"]\n  16 [size=\"16181760\", alpha=\"0.20\", expect_size=\"6472704\"] \n  16 -> 36 [size =\"6472704\"]\n  16 -> 48 [size =\"6472704\"]\n  16 -> 49 [size =\"6472704\"]\n  17 [size=\"55700480\", alpha=\"0.10\", expect_size=\"22280192\"] \n  17 -> 35 [size =\"22280192\"]\n  17 -> 36 [size =\"22280192\"]\n  17 -> 41 [size =\"22280192\"]\n  17 -> 42 [size =\"22280192\"]\n  17 -> 43 [size =\"22280192\"]\n  17 -> 49 [size =\"22280192\"]\n  18 [size=\"114846720\", alpha=\"0.07\", expect_size=\"45938688\"] \n  18 -> 35 [size =\"45938688\"]\n  18 -> 45 [size =\"45938688\"]\n  18 -> 46 [size =\"45938688\"]\n  18 -> 48 [size =\"45938688\"]\n  18 -> 49 [size =\"45938688\"]\n  19 [size=\"84380160\", alpha=\"0.04\", expect_size=\"33752064\"] \n  19 -> 37 [size =\"33752064\"]\n  19 -> 40 [size =\"33752064\"]\n  19 -> 46 [size =\"33752064\"]\n  19 -> 49 [size =\"33752064\"]\n  19 -> 50 [size =\"33752064\"]\n  20 [size=\"14638080\", alpha=\"0.19\", expect_size=\"5855232\"] \n  20 -> 35 [size =\"5855232\"]\n  20 -> 48 [size =\"5855232\"]\n  20 -> 49 [size =\"5855232\"]\n  21 [size=\"126292480\", alpha=\"0.09\", expect_size=\"50516992\"] \n  21 -> 38 [size =\"50516992\"]\n  21 -> 40 [size =\"50516992\"]\n  21 -> 41 [size =\"50516992\"]\n  21 -> 45 [size =\"50516992\"]\n  21 -> 46 [size =\"50516992\"]\n  21 -> 49 [size =\"50516992\"]\n  22 [size=\"47772160\", alpha=\"0.20\", expect_size=\"19108864\"] \n  22 -> 35 [size =\"19108864\"]\n  22 -> 39 [size =\"19108864\"]\n  22 -> 40 [size =\"19108864\"]\n  22 -> 45 [size =\"19108864\"]\n  22 -> 48 [size =\"19108864\"]\n  22 -> 49 [size =\"19108864\"]\n  23 [size=\"32550400\", alpha=\"0.08\", expect_size=\"13020160\"] \n  23 -> 39 [size =\"13020160\"]\n  23 -> 40 [size =\"13020160\"]\n  23 -> 40 [size =\"13020160\"]\n  23 -> 45 [size =\"13020160\"]\n  23 -> 46 [size =\"13020160\"]\n  23 -> 47 [size =\"13020160\"]\n  23 -> 49 [size =\"13020160\"]\n  23 -> 50 [size =\"13020160\"]\n  24 [size=\"67212800\", alpha=\"0.16\", expect_size=\"26885120\"] \n  24 -> 36 [size =\"26885120\"]\n  24 -> 37 [size =\"26885120\"]\n  24 -> 39 [size =\"26885120\"]\n  24 -> 40 [size =\"26885120\"]\n  24 -> 41 [size =\"26885120\"]\n  24 -> 44 [size =\"26885120\"]\n  24 -> 45 [size =\"26885120\"]\n  24 -> 49 [size =\"26885120\"]\n  24 -> 50 [size =\"26885120\"]\n  25 [size=\"87336960\", alpha=\"0.17\", expect_size=\"34934784\"] \n  25 -> 36 [size =\"34934784\"]\n  25 -> 38 [size =\"34934784\"]\n  25 -> 40 [size =\"34934784\"]\n  25 -> 42 [size =\"34934784\"]\n  25 -> 45 [size =\"34934784\"]\n  25 -> 49 [size =\"34934784\"]\n  25 -> 50 [size =\"34934784\"]\n  26 [size=\"121144320\", alpha=\"0.15\", expect_size=\"48457728\"] \n  26 -> 36 [size =\"48457728\"]\n  26 -> 45 [size =\"48457728\"]\n  27 [size=\"118781440\", alpha=\"0.12\", expect_size=\"47512576\"] \n  27 -> 36 [size =\"47512576\"]\n  27 -> 38 [size =\"47512576\"]\n  27 -> 39 [size =\"47512576\"]\n  27 -> 41 [size =\"47512576\"]\n  27 -> 45 [size =\"47512576\"]\n  27 -> 50 [size =\"47512576\"]\n  28 [size=\"61125120\", alpha=\"0.14\", expect_size=\"24450048\"] \n  28 -> 38 [size =\"24450048\"]\n  28 -> 38 [size =\"24450048\"]\n  28 -> 39 [size =\"24450048\"]\n  28 -> 41 [size =\"24450048\"]\n  28 -> 45 [size =\"24450048\"]\n  29 [size=\"103587840\", alpha=\"0.08\", expect_size=\"41435136\"] \n  29 -> 36 [size =\"41435136\"]\n  29 -> 37 [size =\"41435136\"]\n  29 -> 38 [size =\"41435136\"]\n  29 -> 39 [size =\"41435136\"]\n  29 -> 45 [size =\"41435136\"]\n  29 -> 46 [size =\"41435136\"]\n  29 -> 50 [size =\"41435136\"]\n  30 [size=\"129766400\", alpha=\"0.18\", expect_size=\"51906560\"] \n  30 -> 41 [size =\"51906560\"]\n  30 -> 45 [size =\"51906560\"]\n  30 -> 48 [size =\"51906560\"]\n  30 -> 50 [size =\"51906560\"]\n  31 [size=\"125527040\", alpha=\"0.16\", expect_size=\"50210816\"] \n  31 -> 35 [size =\"50210816\"]\n  31 -> 37 [size =\"50210816\"]\n  31 -> 46 [size =\"50210816\"]\n  31 -> 48 [size =\"50210816\"]\n  31 -> 49 [size =\"50210816\"]\n  32 [size=\"62190080\", alpha=\"0.05\", expect_size=\"24876032\"] \n  32 -> 35 [size =\"24876032\"]\n  32 -> 46 [size =\"24876032\"]\n  32 -> 48 [size =\"24876032\"]\n  32 -> 49 [size =\"24876032\"]\n  33 [size=\"60300800\", alpha=\"0.09\", expect_size=\"24120320\"] \n  33 -> 35 [size =\"24120320\"]\n  33 -> 36 [size =\"24120320\"]\n  33 -> 37 [size =\"24120320\"]\n  33 -> 41 [size =\"24120320\"]\n  33 -> 49 [size =\"24120320\"]\n  34 [size=\"107128320\", alpha=\"0.15\", expect_size=\"42851328\"] \n  34 -> 35 [size =\"42851328\"]\n  34 -> 36 [size =\"42851328\"]\n  34 -> 39 [size =\"42851328\"]\n  34 -> 41 [size =\"42851328\"]\n  34 -> 48 [size =\"42851328\"]\n  34 -> 50 [size =\"42851328\"]\n  35 [size=\"83361280\", alpha=\"0.04\", expect_size=\"33344512\"] \n  36 [size=\"64604160\", alpha=\"0.14\", expect_size=\"25841664\"] \n  37 [size=\"36321280\", alpha=\"0.11\", expect_size=\"14528512\"] \n  38 [size=\"105863680\", alpha=\"0.05\", expect_size=\"42345472\"] \n  39 [size=\"69114880\", alpha=\"0.11\", expect_size=\"27645952\"] \n  40 [size=\"113756160\", alpha=\"0.18\", expect_size=\"45502464\"] \n  41 [size=\"104611840\", alpha=\"0.04\", expect_size=\"41844736\"] \n  42 [size=\"80688640\", alpha=\"0.15\", expect_size=\"32275456\"] \n  43 [size=\"112381440\", alpha=\"0.10\", expect_size=\"44952576\"] \n  44 [size=\"50309120\", alpha=\"0.14\", expect_size=\"20123648\"] \n  45 [size=\"19719680\", alpha=\"0.11\", expect_size=\"7887872\"] \n  46 [size=\"43568640\", alpha=\"0.06\", expect_size=\"17427456\"] \n  47 [size=\"124928000\", alpha=\"0.19\", expect_size=\"49971200\"] \n  48 [size=\"70464000\", alpha=\"0.20\", expect_size=\"28185600\"] \n  49 [size=\"99880960\", alpha=\"0.16\", expect_size=\"39952384\"] \n  50 [size=\"48524800\", alpha=\"0.13\", expect_size=\"19409920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40287573\", alpha=\"0.14\", expect_size=\"12086272\"] \n  1 -> 5 [size =\"12086272\"]\n  2 [size=\"68430507\", alpha=\"0.02\", expect_size=\"20529152\"] \n  2 -> 5 [size =\"20529152\"]\n  2 -> 6 [size =\"20529152\"]\n  3 [size=\"50879147\", alpha=\"0.03\", expect_size=\"15263744\"] \n  3 -> 6 [size =\"15263744\"]\n  3 -> 7 [size =\"15263744\"]\n  4 [size=\"22435840\", alpha=\"0.18\", expect_size=\"6730752\"] \n  4 -> 8 [size =\"6730752\"]\n  5 [size=\"19903147\", alpha=\"0.05\", expect_size=\"5970944\"] \n  5 -> 9 [size =\"5970944\"]\n  6 [size=\"151657813\", alpha=\"0.19\", expect_size=\"45497344\"] \n  6 -> 10 [size =\"45497344\"]\n  7 [size=\"21340160\", alpha=\"0.14\", expect_size=\"6402048\"] \n  8 [size=\"32139947\", alpha=\"0.09\", expect_size=\"9641984\"] \n  8 -> 10 [size =\"9641984\"]\n  9 [size=\"22661120\", alpha=\"0.09\", expect_size=\"6798336\"] \n  9 -> 11 [size =\"6798336\"]\n  9 -> 12 [size =\"6798336\"]\n  9 -> 13 [size =\"6798336\"]\n  10 [size=\"72000853\", alpha=\"0.12\", expect_size=\"21600256\"] \n  10 -> 14 [size =\"21600256\"]\n  11 [size=\"123156480\", alpha=\"0.07\", expect_size=\"36946944\"] \n  11 -> 15 [size =\"36946944\"]\n  12 [size=\"78854827\", alpha=\"0.07\", expect_size=\"23656448\"] \n  13 [size=\"97293653\", alpha=\"0.07\", expect_size=\"29188096\"] \n  14 [size=\"122651307\", alpha=\"0.04\", expect_size=\"36795392\"] \n  15 [size=\"106496000\", alpha=\"0.18\", expect_size=\"31948800\"] \n  15 -> 16 [size =\"31948800\"]\n  15 -> 17 [size =\"31948800\"]\n  15 -> 18 [size =\"31948800\"]\n  16 [size=\"143230293\", alpha=\"0.12\", expect_size=\"42969088\"] \n  16 -> 19 [size =\"42969088\"]\n  16 -> 20 [size =\"42969088\"]\n  17 [size=\"137625600\", alpha=\"0.18\", expect_size=\"41287680\"] \n  18 [size=\"91620693\", alpha=\"0.09\", expect_size=\"27486208\"] \n  19 [size=\"162048000\", alpha=\"0.19\", expect_size=\"48614400\"] \n  19 -> 22 [size =\"48614400\"]\n  20 [size=\"76523520\", alpha=\"0.08\", expect_size=\"22957056\"] \n  20 -> 21 [size =\"22957056\"]\n  20 -> 23 [size =\"22957056\"]\n  21 [size=\"169403733\", alpha=\"0.19\", expect_size=\"50821120\"] \n  21 -> 24 [size =\"50821120\"]\n  21 -> 25 [size =\"50821120\"]\n  21 -> 26 [size =\"50821120\"]\n  22 [size=\"68785493\", alpha=\"0.17\", expect_size=\"20635648\"] \n  22 -> 26 [size =\"20635648\"]\n  23 [size=\"127747413\", alpha=\"0.19\", expect_size=\"38324224\"] \n  24 [size=\"25105067\", alpha=\"0.02\", expect_size=\"7531520\"] \n  25 [size=\"53957973\", alpha=\"0.05\", expect_size=\"16187392\"] \n  26 [size=\"37188267\", alpha=\"0.06\", expect_size=\"11156480\"] \n  26 -> 27 [size =\"11156480\"]\n  27 [size=\"133184853\", alpha=\"0.06\", expect_size=\"39955456\"] \n  27 -> 28 [size =\"39955456\"]\n  27 -> 29 [size =\"39955456\"]\n  28 [size=\"114817707\", alpha=\"0.09\", expect_size=\"34445312\"] \n  28 -> 31 [size =\"34445312\"]\n  29 [size=\"26951680\", alpha=\"0.12\", expect_size=\"8085504\"] \n  29 -> 30 [size =\"8085504\"]\n  29 -> 32 [size =\"8085504\"]\n  30 [size=\"20619947\", alpha=\"0.02\", expect_size=\"6185984\"] \n  30 -> 35 [size =\"6185984\"]\n  31 [size=\"81735680\", alpha=\"0.06\", expect_size=\"24520704\"] \n  31 -> 34 [size =\"24520704\"]\n  32 [size=\"75827200\", alpha=\"0.17\", expect_size=\"22748160\"] \n  32 -> 33 [size =\"22748160\"]\n  32 -> 36 [size =\"22748160\"]\n  33 [size=\"53852160\", alpha=\"0.19\", expect_size=\"16155648\"] \n  33 -> 37 [size =\"16155648\"]\n  33 -> 39 [size =\"16155648\"]\n  33 -> 40 [size =\"16155648\"]\n  34 [size=\"49210027\", alpha=\"0.14\", expect_size=\"14763008\"] \n  34 -> 37 [size =\"14763008\"]\n  34 -> 39 [size =\"14763008\"]\n  34 -> 40 [size =\"14763008\"]\n  35 [size=\"66863787\", alpha=\"0.20\", expect_size=\"20059136\"] \n  36 [size=\"109240320\", alpha=\"0.02\", expect_size=\"32772096\"] \n  36 -> 38 [size =\"32772096\"]\n  37 [size=\"153234773\", alpha=\"0.20\", expect_size=\"45970432\"] \n  38 [size=\"45428053\", alpha=\"0.07\", expect_size=\"13628416\"] \n  39 [size=\"115060053\", alpha=\"0.12\", expect_size=\"34518016\"] \n  39 -> 41 [size =\"34518016\"]\n  40 [size=\"52742827\", alpha=\"0.05\", expect_size=\"15822848\"] \n  41 [size=\"70287360\", alpha=\"0.17\", expect_size=\"21086208\"] \n  41 -> 42 [size =\"21086208\"]\n  41 -> 43 [size =\"21086208\"]\n  42 [size=\"116090880\", alpha=\"0.16\", expect_size=\"34827264\"] \n  42 -> 44 [size =\"34827264\"]\n  42 -> 45 [size =\"34827264\"]\n  42 -> 46 [size =\"34827264\"]\n  42 -> 47 [size =\"34827264\"]\n  43 [size=\"94252373\", alpha=\"0.08\", expect_size=\"28275712\"] \n  44 [size=\"84582400\", alpha=\"0.02\", expect_size=\"25374720\"] \n  44 -> 48 [size =\"25374720\"]\n  45 [size=\"34979840\", alpha=\"0.00\", expect_size=\"10493952\"] \n  46 [size=\"34457600\", alpha=\"0.01\", expect_size=\"10337280\"] \n  47 [size=\"51486720\", alpha=\"0.17\", expect_size=\"15446016\"] \n  48 [size=\"48933547\", alpha=\"0.04\", expect_size=\"14680064\"] \n  48 -> 49 [size =\"14680064\"]\n  48 -> 50 [size =\"14680064\"]\n  49 [size=\"100942507\", alpha=\"0.14\", expect_size=\"30282752\"] \n  50 [size=\"37512533\", alpha=\"0.03\", expect_size=\"11253760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.880.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79982592\", alpha=\"0.12\", expect_size=\"39991296\"] \n  1 -> 9 [size =\"39991296\"]\n  2 [size=\"44318720\", alpha=\"0.14\", expect_size=\"22159360\"] \n  2 -> 8 [size =\"22159360\"]\n  2 -> 9 [size =\"22159360\"]\n  2 -> 10 [size =\"22159360\"]\n  2 -> 11 [size =\"22159360\"]\n  2 -> 12 [size =\"22159360\"]\n  3 [size=\"34074624\", alpha=\"0.11\", expect_size=\"17037312\"] \n  3 -> 6 [size =\"17037312\"]\n  3 -> 7 [size =\"17037312\"]\n  3 -> 10 [size =\"17037312\"]\n  3 -> 12 [size =\"17037312\"]\n  4 [size=\"77596672\", alpha=\"0.02\", expect_size=\"38798336\"] \n  4 -> 6 [size =\"38798336\"]\n  4 -> 7 [size =\"38798336\"]\n  4 -> 10 [size =\"38798336\"]\n  4 -> 11 [size =\"38798336\"]\n  5 [size=\"27318272\", alpha=\"0.13\", expect_size=\"13659136\"] \n  5 -> 6 [size =\"13659136\"]\n  5 -> 10 [size =\"13659136\"]\n  5 -> 12 [size =\"13659136\"]\n  5 -> 13 [size =\"13659136\"]\n  5 -> 14 [size =\"13659136\"]\n  6 [size=\"98310144\", alpha=\"0.17\", expect_size=\"49155072\"] \n  6 -> 21 [size =\"49155072\"]\n  7 [size=\"79251456\", alpha=\"0.16\", expect_size=\"39625728\"] \n  7 -> 16 [size =\"39625728\"]\n  7 -> 18 [size =\"39625728\"]\n  7 -> 19 [size =\"39625728\"]\n  8 [size=\"22548480\", alpha=\"0.00\", expect_size=\"11274240\"] \n  8 -> 19 [size =\"11274240\"]\n  8 -> 23 [size =\"11274240\"]\n  9 [size=\"47196160\", alpha=\"0.18\", expect_size=\"23598080\"] \n  9 -> 15 [size =\"23598080\"]\n  9 -> 23 [size =\"23598080\"]\n  10 [size=\"50601984\", alpha=\"0.17\", expect_size=\"25300992\"] \n  10 -> 15 [size =\"25300992\"]\n  10 -> 17 [size =\"25300992\"]\n  11 [size=\"28733440\", alpha=\"0.17\", expect_size=\"14366720\"] \n  11 -> 15 [size =\"14366720\"]\n  11 -> 16 [size =\"14366720\"]\n  11 -> 17 [size =\"14366720\"]\n  11 -> 18 [size =\"14366720\"]\n  11 -> 19 [size =\"14366720\"]\n  11 -> 21 [size =\"14366720\"]\n  11 -> 22 [size =\"14366720\"]\n  12 [size=\"85702656\", alpha=\"0.04\", expect_size=\"42851328\"] \n  12 -> 15 [size =\"42851328\"]\n  12 -> 16 [size =\"42851328\"]\n  12 -> 17 [size =\"42851328\"]\n  12 -> 18 [size =\"42851328\"]\n  12 -> 21 [size =\"42851328\"]\n  12 -> 21 [size =\"42851328\"]\n  12 -> 23 [size =\"42851328\"]\n  13 [size=\"56741888\", alpha=\"0.07\", expect_size=\"28370944\"] \n  13 -> 15 [size =\"28370944\"]\n  13 -> 17 [size =\"28370944\"]\n  13 -> 17 [size =\"28370944\"]\n  13 -> 20 [size =\"28370944\"]\n  13 -> 22 [size =\"28370944\"]\n  13 -> 23 [size =\"28370944\"]\n  14 [size=\"14434304\", alpha=\"0.05\", expect_size=\"7217152\"] \n  14 -> 15 [size =\"7217152\"]\n  14 -> 19 [size =\"7217152\"]\n  14 -> 23 [size =\"7217152\"]\n  15 [size=\"23822336\", alpha=\"0.17\", expect_size=\"11911168\"] \n  15 -> 25 [size =\"11911168\"]\n  15 -> 26 [size =\"11911168\"]\n  16 [size=\"86415360\", alpha=\"0.17\", expect_size=\"43207680\"] \n  17 [size=\"70936576\", alpha=\"0.18\", expect_size=\"35468288\"] \n  17 -> 24 [size =\"35468288\"]\n  17 -> 26 [size =\"35468288\"]\n  18 [size=\"50776064\", alpha=\"0.09\", expect_size=\"25388032\"] \n  18 -> 24 [size =\"25388032\"]\n  19 [size=\"52090880\", alpha=\"0.15\", expect_size=\"26045440\"] \n  19 -> 24 [size =\"26045440\"]\n  20 [size=\"41103360\", alpha=\"0.14\", expect_size=\"20551680\"] \n  20 -> 24 [size =\"20551680\"]\n  20 -> 26 [size =\"20551680\"]\n  21 [size=\"27504640\", alpha=\"0.08\", expect_size=\"13752320\"] \n  21 -> 24 [size =\"13752320\"]\n  21 -> 25 [size =\"13752320\"]\n  22 [size=\"15183872\", alpha=\"0.10\", expect_size=\"7591936\"] \n  22 -> 24 [size =\"7591936\"]\n  22 -> 25 [size =\"7591936\"]\n  23 [size=\"33517568\", alpha=\"0.16\", expect_size=\"16758784\"] \n  23 -> 26 [size =\"16758784\"]\n  24 [size=\"64964608\", alpha=\"0.17\", expect_size=\"32482304\"] \n  24 -> 27 [size =\"32482304\"]\n  24 -> 28 [size =\"32482304\"]\n  24 -> 31 [size =\"32482304\"]\n  24 -> 32 [size =\"32482304\"]\n  24 -> 33 [size =\"32482304\"]\n  25 [size=\"89126912\", alpha=\"0.01\", expect_size=\"44563456\"] \n  25 -> 27 [size =\"44563456\"]\n  25 -> 28 [size =\"44563456\"]\n  25 -> 29 [size =\"44563456\"]\n  25 -> 30 [size =\"44563456\"]\n  25 -> 31 [size =\"44563456\"]\n  25 -> 32 [size =\"44563456\"]\n  26 [size=\"73244672\", alpha=\"0.03\", expect_size=\"36622336\"] \n  26 -> 32 [size =\"36622336\"]\n  27 [size=\"60827648\", alpha=\"0.00\", expect_size=\"30413824\"] \n  27 -> 36 [size =\"30413824\"]\n  27 -> 38 [size =\"30413824\"]\n  27 -> 39 [size =\"30413824\"]\n  27 -> 40 [size =\"30413824\"]\n  27 -> 41 [size =\"30413824\"]\n  27 -> 42 [size =\"30413824\"]\n  28 [size=\"52191232\", alpha=\"0.00\", expect_size=\"26095616\"] \n  28 -> 34 [size =\"26095616\"]\n  28 -> 36 [size =\"26095616\"]\n  28 -> 37 [size =\"26095616\"]\n  28 -> 39 [size =\"26095616\"]\n  28 -> 40 [size =\"26095616\"]\n  28 -> 41 [size =\"26095616\"]\n  28 -> 43 [size =\"26095616\"]\n  29 [size=\"92336128\", alpha=\"0.08\", expect_size=\"46168064\"] \n  29 -> 34 [size =\"46168064\"]\n  29 -> 36 [size =\"46168064\"]\n  29 -> 37 [size =\"46168064\"]\n  29 -> 39 [size =\"46168064\"]\n  29 -> 40 [size =\"46168064\"]\n  29 -> 41 [size =\"46168064\"]\n  29 -> 43 [size =\"46168064\"]\n  30 [size=\"68896768\", alpha=\"0.04\", expect_size=\"34448384\"] \n  30 -> 34 [size =\"34448384\"]\n  30 -> 41 [size =\"34448384\"]\n  31 [size=\"42479616\", alpha=\"0.04\", expect_size=\"21239808\"] \n  31 -> 35 [size =\"21239808\"]\n  31 -> 37 [size =\"21239808\"]\n  31 -> 39 [size =\"21239808\"]\n  31 -> 40 [size =\"21239808\"]\n  31 -> 41 [size =\"21239808\"]\n  32 [size=\"82581504\", alpha=\"0.20\", expect_size=\"41290752\"] \n  32 -> 37 [size =\"41290752\"]\n  32 -> 37 [size =\"41290752\"]\n  32 -> 42 [size =\"41290752\"]\n  33 [size=\"34293760\", alpha=\"0.05\", expect_size=\"17146880\"] \n  33 -> 34 [size =\"17146880\"]\n  33 -> 39 [size =\"17146880\"]\n  33 -> 42 [size =\"17146880\"]\n  33 -> 43 [size =\"17146880\"]\n  34 [size=\"15579136\", alpha=\"0.12\", expect_size=\"7789568\"] \n  34 -> 49 [size =\"7789568\"]\n  34 -> 50 [size =\"7789568\"]\n  35 [size=\"93546496\", alpha=\"0.01\", expect_size=\"46773248\"] \n  35 -> 46 [size =\"46773248\"]\n  35 -> 49 [size =\"46773248\"]\n  35 -> 50 [size =\"46773248\"]\n  36 [size=\"96286720\", alpha=\"0.07\", expect_size=\"48143360\"] \n  36 -> 44 [size =\"48143360\"]\n  36 -> 47 [size =\"48143360\"]\n  36 -> 50 [size =\"48143360\"]\n  37 [size=\"17254400\", alpha=\"0.05\", expect_size=\"8627200\"] \n  37 -> 44 [size =\"8627200\"]\n  37 -> 46 [size =\"8627200\"]\n  37 -> 48 [size =\"8627200\"]\n  38 [size=\"19587072\", alpha=\"0.12\", expect_size=\"9793536\"] \n  38 -> 44 [size =\"9793536\"]\n  38 -> 46 [size =\"9793536\"]\n  39 [size=\"20979712\", alpha=\"0.08\", expect_size=\"10489856\"] \n  39 -> 44 [size =\"10489856\"]\n  39 -> 46 [size =\"10489856\"]\n  39 -> 47 [size =\"10489856\"]\n  39 -> 50 [size =\"10489856\"]\n  40 [size=\"58142720\", alpha=\"0.10\", expect_size=\"29071360\"] \n  40 -> 44 [size =\"29071360\"]\n  40 -> 45 [size =\"29071360\"]\n  41 [size=\"76818432\", alpha=\"0.15\", expect_size=\"38409216\"] \n  41 -> 45 [size =\"38409216\"]\n  41 -> 49 [size =\"38409216\"]\n  41 -> 50 [size =\"38409216\"]\n  42 [size=\"95260672\", alpha=\"0.02\", expect_size=\"47630336\"] \n  42 -> 46 [size =\"47630336\"]\n  42 -> 50 [size =\"47630336\"]\n  43 [size=\"94312448\", alpha=\"0.14\", expect_size=\"47156224\"] \n  43 -> 45 [size =\"47156224\"]\n  43 -> 46 [size =\"47156224\"]\n  43 -> 48 [size =\"47156224\"]\n  44 [size=\"25860096\", alpha=\"0.17\", expect_size=\"12930048\"] \n  45 [size=\"82599936\", alpha=\"0.17\", expect_size=\"41299968\"] \n  46 [size=\"89122816\", alpha=\"0.10\", expect_size=\"44561408\"] \n  47 [size=\"26990592\", alpha=\"0.13\", expect_size=\"13495296\"] \n  48 [size=\"51025920\", alpha=\"0.06\", expect_size=\"25512960\"] \n  49 [size=\"12775424\", alpha=\"0.16\", expect_size=\"6387712\"] \n  50 [size=\"48216064\", alpha=\"0.18\", expect_size=\"24108032\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.881.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"173905920\", alpha=\"0.00\", expect_size=\"52171776\"] \n  1 -> 2 [size =\"52171776\"]\n  2 [size=\"150111573\", alpha=\"0.07\", expect_size=\"45033472\"] \n  2 -> 3 [size =\"45033472\"]\n  3 [size=\"24593067\", alpha=\"0.01\", expect_size=\"7377920\"] \n  3 -> 4 [size =\"7377920\"]\n  4 [size=\"155173547\", alpha=\"0.06\", expect_size=\"46552064\"] \n  4 -> 5 [size =\"46552064\"]\n  5 [size=\"46837760\", alpha=\"0.01\", expect_size=\"14051328\"] \n  5 -> 6 [size =\"14051328\"]\n  6 [size=\"45462187\", alpha=\"0.14\", expect_size=\"13638656\"] \n  6 -> 7 [size =\"13638656\"]\n  7 [size=\"121907200\", alpha=\"0.00\", expect_size=\"36572160\"] \n  7 -> 8 [size =\"36572160\"]\n  8 [size=\"163498667\", alpha=\"0.19\", expect_size=\"49049600\"] \n  8 -> 9 [size =\"49049600\"]\n  9 [size=\"126801920\", alpha=\"0.01\", expect_size=\"38040576\"] \n  9 -> 10 [size =\"38040576\"]\n  10 [size=\"86780587\", alpha=\"0.12\", expect_size=\"26034176\"] \n  10 -> 11 [size =\"26034176\"]\n  11 [size=\"46069760\", alpha=\"0.07\", expect_size=\"13820928\"] \n  11 -> 12 [size =\"13820928\"]\n  12 [size=\"49950720\", alpha=\"0.09\", expect_size=\"14985216\"] \n  12 -> 13 [size =\"14985216\"]\n  13 [size=\"102519467\", alpha=\"0.10\", expect_size=\"30755840\"] \n  13 -> 14 [size =\"30755840\"]\n  14 [size=\"107086507\", alpha=\"0.14\", expect_size=\"32125952\"] \n  14 -> 15 [size =\"32125952\"]\n  15 [size=\"153668267\", alpha=\"0.05\", expect_size=\"46100480\"] \n  15 -> 16 [size =\"46100480\"]\n  16 [size=\"160372053\", alpha=\"0.02\", expect_size=\"48111616\"] \n  16 -> 17 [size =\"48111616\"]\n  17 [size=\"114496853\", alpha=\"0.02\", expect_size=\"34349056\"] \n  17 -> 18 [size =\"34349056\"]\n  18 [size=\"115285333\", alpha=\"0.13\", expect_size=\"34585600\"] \n  18 -> 19 [size =\"34585600\"]\n  19 [size=\"108677120\", alpha=\"0.01\", expect_size=\"32603136\"] \n  19 -> 20 [size =\"32603136\"]\n  20 [size=\"115339947\", alpha=\"0.20\", expect_size=\"34601984\"] \n  20 -> 21 [size =\"34601984\"]\n  21 [size=\"50715307\", alpha=\"0.18\", expect_size=\"15214592\"] \n  21 -> 22 [size =\"15214592\"]\n  22 [size=\"108837547\", alpha=\"0.13\", expect_size=\"32651264\"] \n  22 -> 23 [size =\"32651264\"]\n  23 [size=\"21483520\", alpha=\"0.09\", expect_size=\"6445056\"] \n  23 -> 24 [size =\"6445056\"]\n  24 [size=\"99809280\", alpha=\"0.03\", expect_size=\"29942784\"] \n  24 -> 25 [size =\"29942784\"]\n  25 [size=\"55473493\", alpha=\"0.00\", expect_size=\"16642048\"] \n  25 -> 26 [size =\"16642048\"]\n  26 [size=\"93945173\", alpha=\"0.01\", expect_size=\"28183552\"] \n  26 -> 27 [size =\"28183552\"]\n  27 [size=\"108479147\", alpha=\"0.15\", expect_size=\"32543744\"] \n  27 -> 28 [size =\"32543744\"]\n  28 [size=\"123204267\", alpha=\"0.08\", expect_size=\"36961280\"] \n  28 -> 29 [size =\"36961280\"]\n  29 [size=\"65358507\", alpha=\"0.14\", expect_size=\"19607552\"] \n  29 -> 30 [size =\"19607552\"]\n  30 [size=\"76270933\", alpha=\"0.10\", expect_size=\"22881280\"] \n  30 -> 31 [size =\"22881280\"]\n  31 [size=\"74461867\", alpha=\"0.09\", expect_size=\"22338560\"] \n  31 -> 32 [size =\"22338560\"]\n  32 [size=\"59071147\", alpha=\"0.12\", expect_size=\"17721344\"] \n  32 -> 33 [size =\"17721344\"]\n  33 [size=\"162737493\", alpha=\"0.06\", expect_size=\"48821248\"] \n  33 -> 34 [size =\"48821248\"]\n  34 [size=\"78001493\", alpha=\"0.11\", expect_size=\"23400448\"] \n  34 -> 35 [size =\"23400448\"]\n  35 [size=\"99857067\", alpha=\"0.14\", expect_size=\"29957120\"] \n  35 -> 36 [size =\"29957120\"]\n  36 [size=\"100375893\", alpha=\"0.15\", expect_size=\"30112768\"] \n  36 -> 37 [size =\"30112768\"]\n  37 [size=\"107547307\", alpha=\"0.08\", expect_size=\"32264192\"] \n  37 -> 38 [size =\"32264192\"]\n  38 [size=\"68519253\", alpha=\"0.14\", expect_size=\"20555776\"] \n  38 -> 39 [size =\"20555776\"]\n  39 [size=\"129314133\", alpha=\"0.11\", expect_size=\"38794240\"] \n  39 -> 40 [size =\"38794240\"]\n  40 [size=\"84684800\", alpha=\"0.01\", expect_size=\"25405440\"] \n  40 -> 41 [size =\"25405440\"]\n  41 [size=\"161228800\", alpha=\"0.15\", expect_size=\"48368640\"] \n  41 -> 42 [size =\"48368640\"]\n  42 [size=\"72963413\", alpha=\"0.00\", expect_size=\"21889024\"] \n  42 -> 43 [size =\"21889024\"]\n  43 [size=\"166939307\", alpha=\"0.06\", expect_size=\"50081792\"] \n  43 -> 44 [size =\"50081792\"]\n  44 [size=\"56343893\", alpha=\"0.03\", expect_size=\"16903168\"] \n  44 -> 45 [size =\"16903168\"]\n  45 [size=\"145363627\", alpha=\"0.04\", expect_size=\"43609088\"] \n  45 -> 46 [size =\"43609088\"]\n  46 [size=\"98331307\", alpha=\"0.15\", expect_size=\"29499392\"] \n  46 -> 47 [size =\"29499392\"]\n  47 [size=\"58142720\", alpha=\"0.18\", expect_size=\"17442816\"] \n  47 -> 48 [size =\"17442816\"]\n  48 [size=\"121825280\", alpha=\"0.14\", expect_size=\"36547584\"] \n  48 -> 49 [size =\"36547584\"]\n  49 [size=\"72618667\", alpha=\"0.16\", expect_size=\"21785600\"] \n  49 -> 50 [size =\"21785600\"]\n  50 [size=\"159003307\", alpha=\"0.06\", expect_size=\"47700992\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.882.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65142784\", alpha=\"0.08\", expect_size=\"32571392\"] \n  1 -> 23 [size =\"32571392\"]\n  1 -> 31 [size =\"32571392\"]\n  1 -> 33 [size =\"32571392\"]\n  1 -> 34 [size =\"32571392\"]\n  1 -> 36 [size =\"32571392\"]\n  1 -> 38 [size =\"32571392\"]\n  1 -> 39 [size =\"32571392\"]\n  1 -> 46 [size =\"32571392\"]\n  2 [size=\"43931648\", alpha=\"0.08\", expect_size=\"21965824\"] \n  2 -> 23 [size =\"21965824\"]\n  2 -> 26 [size =\"21965824\"]\n  2 -> 27 [size =\"21965824\"]\n  2 -> 28 [size =\"21965824\"]\n  2 -> 31 [size =\"21965824\"]\n  2 -> 34 [size =\"21965824\"]\n  2 -> 38 [size =\"21965824\"]\n  2 -> 40 [size =\"21965824\"]\n  2 -> 44 [size =\"21965824\"]\n  2 -> 45 [size =\"21965824\"]\n  2 -> 46 [size =\"21965824\"]\n  3 [size=\"32583680\", alpha=\"0.08\", expect_size=\"16291840\"] \n  3 -> 23 [size =\"16291840\"]\n  3 -> 31 [size =\"16291840\"]\n  3 -> 32 [size =\"16291840\"]\n  3 -> 36 [size =\"16291840\"]\n  3 -> 40 [size =\"16291840\"]\n  3 -> 45 [size =\"16291840\"]\n  4 [size=\"54925312\", alpha=\"0.09\", expect_size=\"27462656\"] \n  4 -> 27 [size =\"27462656\"]\n  4 -> 28 [size =\"27462656\"]\n  4 -> 29 [size =\"27462656\"]\n  4 -> 31 [size =\"27462656\"]\n  4 -> 34 [size =\"27462656\"]\n  4 -> 40 [size =\"27462656\"]\n  4 -> 41 [size =\"27462656\"]\n  4 -> 42 [size =\"27462656\"]\n  4 -> 43 [size =\"27462656\"]\n  5 [size=\"67450880\", alpha=\"0.19\", expect_size=\"33725440\"] \n  5 -> 27 [size =\"33725440\"]\n  5 -> 30 [size =\"33725440\"]\n  5 -> 31 [size =\"33725440\"]\n  5 -> 32 [size =\"33725440\"]\n  5 -> 33 [size =\"33725440\"]\n  5 -> 38 [size =\"33725440\"]\n  5 -> 39 [size =\"33725440\"]\n  5 -> 45 [size =\"33725440\"]\n  5 -> 46 [size =\"33725440\"]\n  5 -> 47 [size =\"33725440\"]\n  6 [size=\"102770688\", alpha=\"0.06\", expect_size=\"51385344\"] \n  6 -> 30 [size =\"51385344\"]\n  6 -> 33 [size =\"51385344\"]\n  6 -> 39 [size =\"51385344\"]\n  6 -> 45 [size =\"51385344\"]\n  6 -> 46 [size =\"51385344\"]\n  6 -> 48 [size =\"51385344\"]\n  7 [size=\"44718080\", alpha=\"0.05\", expect_size=\"22359040\"] \n  7 -> 24 [size =\"22359040\"]\n  7 -> 28 [size =\"22359040\"]\n  7 -> 32 [size =\"22359040\"]\n  7 -> 34 [size =\"22359040\"]\n  7 -> 36 [size =\"22359040\"]\n  7 -> 38 [size =\"22359040\"]\n  7 -> 40 [size =\"22359040\"]\n  7 -> 45 [size =\"22359040\"]\n  7 -> 46 [size =\"22359040\"]\n  8 [size=\"12216320\", alpha=\"0.13\", expect_size=\"6108160\"] \n  8 -> 23 [size =\"6108160\"]\n  8 -> 24 [size =\"6108160\"]\n  8 -> 26 [size =\"6108160\"]\n  8 -> 28 [size =\"6108160\"]\n  8 -> 29 [size =\"6108160\"]\n  8 -> 32 [size =\"6108160\"]\n  8 -> 38 [size =\"6108160\"]\n  8 -> 40 [size =\"6108160\"]\n  8 -> 44 [size =\"6108160\"]\n  8 -> 45 [size =\"6108160\"]\n  8 -> 46 [size =\"6108160\"]\n  8 -> 48 [size =\"6108160\"]\n  9 [size=\"93124608\", alpha=\"0.20\", expect_size=\"46562304\"] \n  9 -> 23 [size =\"46562304\"]\n  9 -> 26 [size =\"46562304\"]\n  9 -> 32 [size =\"46562304\"]\n  9 -> 34 [size =\"46562304\"]\n  9 -> 38 [size =\"46562304\"]\n  9 -> 40 [size =\"46562304\"]\n  9 -> 41 [size =\"46562304\"]\n  9 -> 42 [size =\"46562304\"]\n  9 -> 43 [size =\"46562304\"]\n  9 -> 44 [size =\"46562304\"]\n  9 -> 45 [size =\"46562304\"]\n  10 [size=\"35772416\", alpha=\"0.04\", expect_size=\"17886208\"] \n  10 -> 27 [size =\"17886208\"]\n  10 -> 28 [size =\"17886208\"]\n  10 -> 32 [size =\"17886208\"]\n  10 -> 36 [size =\"17886208\"]\n  10 -> 37 [size =\"17886208\"]\n  10 -> 40 [size =\"17886208\"]\n  10 -> 44 [size =\"17886208\"]\n  10 -> 48 [size =\"17886208\"]\n  11 [size=\"32053248\", alpha=\"0.10\", expect_size=\"16026624\"] \n  11 -> 28 [size =\"16026624\"]\n  11 -> 30 [size =\"16026624\"]\n  11 -> 32 [size =\"16026624\"]\n  11 -> 34 [size =\"16026624\"]\n  11 -> 36 [size =\"16026624\"]\n  11 -> 40 [size =\"16026624\"]\n  12 [size=\"67622912\", alpha=\"0.14\", expect_size=\"33811456\"] \n  12 -> 27 [size =\"33811456\"]\n  12 -> 40 [size =\"33811456\"]\n  12 -> 42 [size =\"33811456\"]\n  12 -> 46 [size =\"33811456\"]\n  12 -> 48 [size =\"33811456\"]\n  12 -> 49 [size =\"33811456\"]\n  13 [size=\"12392448\", alpha=\"0.13\", expect_size=\"6196224\"] \n  13 -> 27 [size =\"6196224\"]\n  13 -> 29 [size =\"6196224\"]\n  13 -> 30 [size =\"6196224\"]\n  13 -> 33 [size =\"6196224\"]\n  13 -> 36 [size =\"6196224\"]\n  13 -> 37 [size =\"6196224\"]\n  13 -> 38 [size =\"6196224\"]\n  13 -> 42 [size =\"6196224\"]\n  13 -> 45 [size =\"6196224\"]\n  13 -> 46 [size =\"6196224\"]\n  13 -> 49 [size =\"6196224\"]\n  14 [size=\"49588224\", alpha=\"0.09\", expect_size=\"24794112\"] \n  14 -> 26 [size =\"24794112\"]\n  14 -> 27 [size =\"24794112\"]\n  14 -> 29 [size =\"24794112\"]\n  14 -> 31 [size =\"24794112\"]\n  14 -> 32 [size =\"24794112\"]\n  14 -> 33 [size =\"24794112\"]\n  14 -> 36 [size =\"24794112\"]\n  14 -> 38 [size =\"24794112\"]\n  14 -> 39 [size =\"24794112\"]\n  14 -> 41 [size =\"24794112\"]\n  14 -> 42 [size =\"24794112\"]\n  14 -> 44 [size =\"24794112\"]\n  14 -> 46 [size =\"24794112\"]\n  15 [size=\"92452864\", alpha=\"0.17\", expect_size=\"46226432\"] \n  15 -> 26 [size =\"46226432\"]\n  15 -> 28 [size =\"46226432\"]\n  15 -> 29 [size =\"46226432\"]\n  15 -> 30 [size =\"46226432\"]\n  15 -> 31 [size =\"46226432\"]\n  15 -> 32 [size =\"46226432\"]\n  15 -> 36 [size =\"46226432\"]\n  15 -> 39 [size =\"46226432\"]\n  15 -> 40 [size =\"46226432\"]\n  15 -> 41 [size =\"46226432\"]\n  15 -> 45 [size =\"46226432\"]\n  15 -> 46 [size =\"46226432\"]\n  16 [size=\"86228992\", alpha=\"0.04\", expect_size=\"43114496\"] \n  16 -> 23 [size =\"43114496\"]\n  16 -> 24 [size =\"43114496\"]\n  16 -> 25 [size =\"43114496\"]\n  16 -> 26 [size =\"43114496\"]\n  16 -> 28 [size =\"43114496\"]\n  16 -> 32 [size =\"43114496\"]\n  16 -> 33 [size =\"43114496\"]\n  16 -> 34 [size =\"43114496\"]\n  16 -> 35 [size =\"43114496\"]\n  16 -> 39 [size =\"43114496\"]\n  16 -> 40 [size =\"43114496\"]\n  16 -> 41 [size =\"43114496\"]\n  16 -> 44 [size =\"43114496\"]\n  16 -> 46 [size =\"43114496\"]\n  16 -> 50 [size =\"43114496\"]\n  17 [size=\"22185984\", alpha=\"0.11\", expect_size=\"11092992\"] \n  17 -> 23 [size =\"11092992\"]\n  17 -> 24 [size =\"11092992\"]\n  17 -> 26 [size =\"11092992\"]\n  17 -> 27 [size =\"11092992\"]\n  17 -> 29 [size =\"11092992\"]\n  17 -> 32 [size =\"11092992\"]\n  17 -> 38 [size =\"11092992\"]\n  17 -> 39 [size =\"11092992\"]\n  17 -> 40 [size =\"11092992\"]\n  17 -> 41 [size =\"11092992\"]\n  18 [size=\"44507136\", alpha=\"0.16\", expect_size=\"22253568\"] \n  18 -> 24 [size =\"22253568\"]\n  18 -> 27 [size =\"22253568\"]\n  18 -> 28 [size =\"22253568\"]\n  18 -> 31 [size =\"22253568\"]\n  18 -> 35 [size =\"22253568\"]\n  18 -> 38 [size =\"22253568\"]\n  18 -> 39 [size =\"22253568\"]\n  18 -> 40 [size =\"22253568\"]\n  18 -> 41 [size =\"22253568\"]\n  18 -> 45 [size =\"22253568\"]\n  18 -> 46 [size =\"22253568\"]\n  19 [size=\"104839168\", alpha=\"0.08\", expect_size=\"52419584\"] \n  19 -> 26 [size =\"52419584\"]\n  19 -> 27 [size =\"52419584\"]\n  19 -> 28 [size =\"52419584\"]\n  19 -> 31 [size =\"52419584\"]\n  19 -> 32 [size =\"52419584\"]\n  19 -> 39 [size =\"52419584\"]\n  19 -> 42 [size =\"52419584\"]\n  19 -> 44 [size =\"52419584\"]\n  19 -> 46 [size =\"52419584\"]\n  20 [size=\"103880704\", alpha=\"0.17\", expect_size=\"51940352\"] \n  20 -> 24 [size =\"51940352\"]\n  20 -> 27 [size =\"51940352\"]\n  20 -> 28 [size =\"51940352\"]\n  20 -> 34 [size =\"51940352\"]\n  20 -> 38 [size =\"51940352\"]\n  20 -> 39 [size =\"51940352\"]\n  20 -> 48 [size =\"51940352\"]\n  21 [size=\"26744832\", alpha=\"0.18\", expect_size=\"13372416\"] \n  21 -> 25 [size =\"13372416\"]\n  21 -> 26 [size =\"13372416\"]\n  21 -> 27 [size =\"13372416\"]\n  21 -> 28 [size =\"13372416\"]\n  21 -> 39 [size =\"13372416\"]\n  21 -> 42 [size =\"13372416\"]\n  21 -> 44 [size =\"13372416\"]\n  21 -> 45 [size =\"13372416\"]\n  22 [size=\"73635840\", alpha=\"0.06\", expect_size=\"36817920\"] \n  22 -> 23 [size =\"36817920\"]\n  22 -> 24 [size =\"36817920\"]\n  22 -> 26 [size =\"36817920\"]\n  22 -> 27 [size =\"36817920\"]\n  22 -> 29 [size =\"36817920\"]\n  22 -> 31 [size =\"36817920\"]\n  22 -> 38 [size =\"36817920\"]\n  22 -> 42 [size =\"36817920\"]\n  23 [size=\"45944832\", alpha=\"0.19\", expect_size=\"22972416\"] \n  24 [size=\"12521472\", alpha=\"0.01\", expect_size=\"6260736\"] \n  25 [size=\"54099968\", alpha=\"0.15\", expect_size=\"27049984\"] \n  26 [size=\"37744640\", alpha=\"0.09\", expect_size=\"18872320\"] \n  27 [size=\"56096768\", alpha=\"0.10\", expect_size=\"28048384\"] \n  28 [size=\"15474688\", alpha=\"0.12\", expect_size=\"7737344\"] \n  29 [size=\"92694528\", alpha=\"0.11\", expect_size=\"46347264\"] \n  30 [size=\"34201600\", alpha=\"0.15\", expect_size=\"17100800\"] \n  31 [size=\"20135936\", alpha=\"0.04\", expect_size=\"10067968\"] \n  32 [size=\"10780672\", alpha=\"0.05\", expect_size=\"5390336\"] \n  33 [size=\"39585792\", alpha=\"0.06\", expect_size=\"19792896\"] \n  34 [size=\"34275328\", alpha=\"0.16\", expect_size=\"17137664\"] \n  35 [size=\"39292928\", alpha=\"0.03\", expect_size=\"19646464\"] \n  36 [size=\"17229824\", alpha=\"0.06\", expect_size=\"8614912\"] \n  37 [size=\"60372992\", alpha=\"0.12\", expect_size=\"30186496\"] \n  38 [size=\"14213120\", alpha=\"0.04\", expect_size=\"7106560\"] \n  39 [size=\"69224448\", alpha=\"0.17\", expect_size=\"34612224\"] \n  40 [size=\"24934400\", alpha=\"0.10\", expect_size=\"12467200\"] \n  41 [size=\"95373312\", alpha=\"0.06\", expect_size=\"47686656\"] \n  42 [size=\"18993152\", alpha=\"0.15\", expect_size=\"9496576\"] \n  43 [size=\"41678848\", alpha=\"0.12\", expect_size=\"20839424\"] \n  44 [size=\"70961152\", alpha=\"0.10\", expect_size=\"35480576\"] \n  45 [size=\"51574784\", alpha=\"0.16\", expect_size=\"25787392\"] \n  46 [size=\"65484800\", alpha=\"0.09\", expect_size=\"32742400\"] \n  47 [size=\"94064640\", alpha=\"0.11\", expect_size=\"47032320\"] \n  48 [size=\"54642688\", alpha=\"0.14\", expect_size=\"27321344\"] \n  49 [size=\"75614208\", alpha=\"0.14\", expect_size=\"37807104\"] \n  50 [size=\"62586880\", alpha=\"0.20\", expect_size=\"31293440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.883.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161419947\", alpha=\"0.06\", expect_size=\"48425984\"] \n  1 -> 2 [size =\"48425984\"]\n  2 [size=\"28460373\", alpha=\"0.11\", expect_size=\"8538112\"] \n  2 -> 3 [size =\"8538112\"]\n  3 [size=\"46219947\", alpha=\"0.00\", expect_size=\"13865984\"] \n  3 -> 4 [size =\"13865984\"]\n  4 [size=\"155204267\", alpha=\"0.15\", expect_size=\"46561280\"] \n  4 -> 5 [size =\"46561280\"]\n  5 [size=\"93245440\", alpha=\"0.13\", expect_size=\"27973632\"] \n  5 -> 6 [size =\"27973632\"]\n  6 [size=\"24825173\", alpha=\"0.07\", expect_size=\"7447552\"] \n  6 -> 7 [size =\"7447552\"]\n  7 [size=\"103809707\", alpha=\"0.19\", expect_size=\"31142912\"] \n  7 -> 8 [size =\"31142912\"]\n  8 [size=\"43632640\", alpha=\"0.17\", expect_size=\"13089792\"] \n  8 -> 9 [size =\"13089792\"]\n  9 [size=\"157344427\", alpha=\"0.06\", expect_size=\"47203328\"] \n  9 -> 10 [size =\"47203328\"]\n  10 [size=\"84718933\", alpha=\"0.16\", expect_size=\"25415680\"] \n  10 -> 11 [size =\"25415680\"]\n  11 [size=\"54005760\", alpha=\"0.06\", expect_size=\"16201728\"] \n  11 -> 12 [size =\"16201728\"]\n  12 [size=\"101693440\", alpha=\"0.12\", expect_size=\"30508032\"] \n  12 -> 13 [size =\"30508032\"]\n  13 [size=\"27648000\", alpha=\"0.04\", expect_size=\"8294400\"] \n  13 -> 14 [size =\"8294400\"]\n  14 [size=\"28306773\", alpha=\"0.15\", expect_size=\"8492032\"] \n  14 -> 15 [size =\"8492032\"]\n  15 [size=\"143680853\", alpha=\"0.20\", expect_size=\"43104256\"] \n  15 -> 16 [size =\"43104256\"]\n  16 [size=\"89057280\", alpha=\"0.03\", expect_size=\"26717184\"] \n  16 -> 17 [size =\"26717184\"]\n  17 [size=\"147927040\", alpha=\"0.07\", expect_size=\"44378112\"] \n  17 -> 18 [size =\"44378112\"]\n  18 [size=\"139837440\", alpha=\"0.08\", expect_size=\"41951232\"] \n  18 -> 19 [size =\"41951232\"]\n  19 [size=\"112534187\", alpha=\"0.08\", expect_size=\"33760256\"] \n  19 -> 20 [size =\"33760256\"]\n  20 [size=\"159969280\", alpha=\"0.03\", expect_size=\"47990784\"] \n  20 -> 21 [size =\"47990784\"]\n  21 [size=\"127812267\", alpha=\"0.17\", expect_size=\"38343680\"] \n  21 -> 22 [size =\"38343680\"]\n  22 [size=\"19517440\", alpha=\"0.12\", expect_size=\"5855232\"] \n  22 -> 23 [size =\"5855232\"]\n  23 [size=\"114667520\", alpha=\"0.11\", expect_size=\"34400256\"] \n  23 -> 24 [size =\"34400256\"]\n  24 [size=\"148247893\", alpha=\"0.07\", expect_size=\"44474368\"] \n  24 -> 25 [size =\"44474368\"]\n  25 [size=\"107492693\", alpha=\"0.13\", expect_size=\"32247808\"] \n  25 -> 26 [size =\"32247808\"]\n  26 [size=\"104000853\", alpha=\"0.20\", expect_size=\"31200256\"] \n  26 -> 27 [size =\"31200256\"]\n  27 [size=\"131314347\", alpha=\"0.17\", expect_size=\"39394304\"] \n  27 -> 28 [size =\"39394304\"]\n  28 [size=\"27296427\", alpha=\"0.18\", expect_size=\"8188928\"] \n  28 -> 29 [size =\"8188928\"]\n  29 [size=\"88975360\", alpha=\"0.17\", expect_size=\"26692608\"] \n  29 -> 30 [size =\"26692608\"]\n  30 [size=\"151777280\", alpha=\"0.05\", expect_size=\"45533184\"] \n  30 -> 31 [size =\"45533184\"]\n  31 [size=\"20613120\", alpha=\"0.17\", expect_size=\"6183936\"] \n  31 -> 32 [size =\"6183936\"]\n  32 [size=\"153999360\", alpha=\"0.19\", expect_size=\"46199808\"] \n  32 -> 33 [size =\"46199808\"]\n  33 [size=\"91067733\", alpha=\"0.04\", expect_size=\"27320320\"] \n  33 -> 34 [size =\"27320320\"]\n  34 [size=\"17844907\", alpha=\"0.09\", expect_size=\"5353472\"] \n  34 -> 35 [size =\"5353472\"]\n  35 [size=\"72065707\", alpha=\"0.10\", expect_size=\"21619712\"] \n  35 -> 36 [size =\"21619712\"]\n  36 [size=\"172212907\", alpha=\"0.01\", expect_size=\"51663872\"] \n  36 -> 37 [size =\"51663872\"]\n  37 [size=\"168352427\", alpha=\"0.08\", expect_size=\"50505728\"] \n  37 -> 38 [size =\"50505728\"]\n  38 [size=\"146817707\", alpha=\"0.11\", expect_size=\"44045312\"] \n  38 -> 39 [size =\"44045312\"]\n  39 [size=\"133771947\", alpha=\"0.06\", expect_size=\"40131584\"] \n  39 -> 40 [size =\"40131584\"]\n  40 [size=\"111790080\", alpha=\"0.19\", expect_size=\"33537024\"] \n  40 -> 41 [size =\"33537024\"]\n  41 [size=\"148128427\", alpha=\"0.06\", expect_size=\"44438528\"] \n  41 -> 42 [size =\"44438528\"]\n  42 [size=\"122023253\", alpha=\"0.13\", expect_size=\"36606976\"] \n  42 -> 43 [size =\"36606976\"]\n  43 [size=\"117695147\", alpha=\"0.13\", expect_size=\"35308544\"] \n  43 -> 44 [size =\"35308544\"]\n  44 [size=\"145322667\", alpha=\"0.09\", expect_size=\"43596800\"] \n  44 -> 45 [size =\"43596800\"]\n  45 [size=\"58449920\", alpha=\"0.16\", expect_size=\"17534976\"] \n  45 -> 46 [size =\"17534976\"]\n  46 [size=\"140564480\", alpha=\"0.15\", expect_size=\"42169344\"] \n  46 -> 47 [size =\"42169344\"]\n  47 [size=\"148681387\", alpha=\"0.08\", expect_size=\"44604416\"] \n  47 -> 48 [size =\"44604416\"]\n  48 [size=\"55965013\", alpha=\"0.03\", expect_size=\"16789504\"] \n  48 -> 49 [size =\"16789504\"]\n  49 [size=\"142069760\", alpha=\"0.06\", expect_size=\"42620928\"] \n  49 -> 50 [size =\"42620928\"]\n  50 [size=\"30187520\", alpha=\"0.07\", expect_size=\"9056256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.884.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84187136\", alpha=\"0.12\", expect_size=\"42093568\"] \n  1 -> 10 [size =\"42093568\"]\n  1 -> 11 [size =\"42093568\"]\n  1 -> 12 [size =\"42093568\"]\n  2 [size=\"95758336\", alpha=\"0.01\", expect_size=\"47879168\"] \n  2 -> 12 [size =\"47879168\"]\n  3 [size=\"79273984\", alpha=\"0.01\", expect_size=\"39636992\"] \n  3 -> 9 [size =\"39636992\"]\n  3 -> 12 [size =\"39636992\"]\n  4 [size=\"71442432\", alpha=\"0.13\", expect_size=\"35721216\"] \n  4 -> 10 [size =\"35721216\"]\n  5 [size=\"66959360\", alpha=\"0.00\", expect_size=\"33479680\"] \n  5 -> 8 [size =\"33479680\"]\n  5 -> 9 [size =\"33479680\"]\n  6 [size=\"26982400\", alpha=\"0.05\", expect_size=\"13491200\"] \n  7 [size=\"91013120\", alpha=\"0.11\", expect_size=\"45506560\"] \n  7 -> 11 [size =\"45506560\"]\n  8 [size=\"52580352\", alpha=\"0.13\", expect_size=\"26290176\"] \n  8 -> 13 [size =\"26290176\"]\n  8 -> 18 [size =\"26290176\"]\n  9 [size=\"80128000\", alpha=\"0.05\", expect_size=\"40064000\"] \n  10 [size=\"102807552\", alpha=\"0.07\", expect_size=\"51403776\"] \n  10 -> 13 [size =\"51403776\"]\n  10 -> 15 [size =\"51403776\"]\n  10 -> 16 [size =\"51403776\"]\n  11 [size=\"51785728\", alpha=\"0.06\", expect_size=\"25892864\"] \n  11 -> 14 [size =\"25892864\"]\n  11 -> 15 [size =\"25892864\"]\n  11 -> 17 [size =\"25892864\"]\n  11 -> 18 [size =\"25892864\"]\n  12 [size=\"16152576\", alpha=\"0.09\", expect_size=\"8076288\"] \n  12 -> 13 [size =\"8076288\"]\n  12 -> 14 [size =\"8076288\"]\n  12 -> 17 [size =\"8076288\"]\n  13 [size=\"23220224\", alpha=\"0.03\", expect_size=\"11610112\"] \n  13 -> 20 [size =\"11610112\"]\n  13 -> 23 [size =\"11610112\"]\n  14 [size=\"27074560\", alpha=\"0.12\", expect_size=\"13537280\"] \n  14 -> 19 [size =\"13537280\"]\n  14 -> 21 [size =\"13537280\"]\n  14 -> 23 [size =\"13537280\"]\n  15 [size=\"89300992\", alpha=\"0.03\", expect_size=\"44650496\"] \n  15 -> 21 [size =\"44650496\"]\n  15 -> 22 [size =\"44650496\"]\n  15 -> 23 [size =\"44650496\"]\n  16 [size=\"90388480\", alpha=\"0.15\", expect_size=\"45194240\"] \n  16 -> 19 [size =\"45194240\"]\n  17 [size=\"17272832\", alpha=\"0.12\", expect_size=\"8636416\"] \n  17 -> 19 [size =\"8636416\"]\n  17 -> 20 [size =\"8636416\"]\n  18 [size=\"67854336\", alpha=\"0.02\", expect_size=\"33927168\"] \n  18 -> 20 [size =\"33927168\"]\n  18 -> 21 [size =\"33927168\"]\n  19 [size=\"34959360\", alpha=\"0.14\", expect_size=\"17479680\"] \n  19 -> 25 [size =\"17479680\"]\n  19 -> 26 [size =\"17479680\"]\n  19 -> 29 [size =\"17479680\"]\n  19 -> 30 [size =\"17479680\"]\n  20 [size=\"60200960\", alpha=\"0.09\", expect_size=\"30100480\"] \n  20 -> 26 [size =\"30100480\"]\n  21 [size=\"94732288\", alpha=\"0.20\", expect_size=\"47366144\"] \n  21 -> 26 [size =\"47366144\"]\n  21 -> 30 [size =\"47366144\"]\n  22 [size=\"28874752\", alpha=\"0.09\", expect_size=\"14437376\"] \n  22 -> 24 [size =\"14437376\"]\n  22 -> 27 [size =\"14437376\"]\n  22 -> 28 [size =\"14437376\"]\n  23 [size=\"73086976\", alpha=\"0.12\", expect_size=\"36543488\"] \n  23 -> 27 [size =\"36543488\"]\n  23 -> 28 [size =\"36543488\"]\n  23 -> 29 [size =\"36543488\"]\n  23 -> 30 [size =\"36543488\"]\n  24 [size=\"85819392\", alpha=\"0.08\", expect_size=\"42909696\"] \n  24 -> 31 [size =\"42909696\"]\n  24 -> 32 [size =\"42909696\"]\n  25 [size=\"49080320\", alpha=\"0.16\", expect_size=\"24540160\"] \n  25 -> 32 [size =\"24540160\"]\n  25 -> 33 [size =\"24540160\"]\n  26 [size=\"64825344\", alpha=\"0.08\", expect_size=\"32412672\"] \n  26 -> 34 [size =\"32412672\"]\n  27 [size=\"39647232\", alpha=\"0.17\", expect_size=\"19823616\"] \n  27 -> 31 [size =\"19823616\"]\n  28 [size=\"96714752\", alpha=\"0.14\", expect_size=\"48357376\"] \n  28 -> 33 [size =\"48357376\"]\n  29 [size=\"12191744\", alpha=\"0.07\", expect_size=\"6095872\"] \n  29 -> 34 [size =\"6095872\"]\n  29 -> 35 [size =\"6095872\"]\n  30 [size=\"78340096\", alpha=\"0.19\", expect_size=\"39170048\"] \n  30 -> 34 [size =\"39170048\"]\n  31 [size=\"26793984\", alpha=\"0.20\", expect_size=\"13396992\"] \n  31 -> 36 [size =\"13396992\"]\n  32 [size=\"25630720\", alpha=\"0.02\", expect_size=\"12815360\"] \n  32 -> 39 [size =\"12815360\"]\n  33 [size=\"65748992\", alpha=\"0.06\", expect_size=\"32874496\"] \n  33 -> 38 [size =\"32874496\"]\n  33 -> 39 [size =\"32874496\"]\n  33 -> 40 [size =\"32874496\"]\n  34 [size=\"27195392\", alpha=\"0.15\", expect_size=\"13597696\"] \n  34 -> 40 [size =\"13597696\"]\n  35 [size=\"65302528\", alpha=\"0.19\", expect_size=\"32651264\"] \n  35 -> 37 [size =\"32651264\"]\n  35 -> 40 [size =\"32651264\"]\n  36 [size=\"47796224\", alpha=\"0.01\", expect_size=\"23898112\"] \n  36 -> 44 [size =\"23898112\"]\n  37 [size=\"85551104\", alpha=\"0.05\", expect_size=\"42775552\"] \n  37 -> 42 [size =\"42775552\"]\n  38 [size=\"70346752\", alpha=\"0.20\", expect_size=\"35173376\"] \n  38 -> 43 [size =\"35173376\"]\n  39 [size=\"44281856\", alpha=\"0.01\", expect_size=\"22140928\"] \n  39 -> 43 [size =\"22140928\"]\n  39 -> 45 [size =\"22140928\"]\n  40 [size=\"76996608\", alpha=\"0.12\", expect_size=\"38498304\"] \n  40 -> 41 [size =\"38498304\"]\n  40 -> 42 [size =\"38498304\"]\n  40 -> 43 [size =\"38498304\"]\n  41 [size=\"72073216\", alpha=\"0.01\", expect_size=\"36036608\"] \n  41 -> 50 [size =\"36036608\"]\n  42 [size=\"70807552\", alpha=\"0.14\", expect_size=\"35403776\"] \n  42 -> 46 [size =\"35403776\"]\n  42 -> 48 [size =\"35403776\"]\n  43 [size=\"78872576\", alpha=\"0.20\", expect_size=\"39436288\"] \n  43 -> 47 [size =\"39436288\"]\n  44 [size=\"14626816\", alpha=\"0.02\", expect_size=\"7313408\"] \n  45 [size=\"83404800\", alpha=\"0.12\", expect_size=\"41702400\"] \n  45 -> 49 [size =\"41702400\"]\n  46 [size=\"80906240\", alpha=\"0.14\", expect_size=\"40453120\"] \n  47 [size=\"87035904\", alpha=\"0.02\", expect_size=\"43517952\"] \n  48 [size=\"14211072\", alpha=\"0.08\", expect_size=\"7105536\"] \n  49 [size=\"14168064\", alpha=\"0.15\", expect_size=\"7084032\"] \n  50 [size=\"17014784\", alpha=\"0.16\", expect_size=\"8507392\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.885.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95090688\", alpha=\"0.20\", expect_size=\"47545344\"] \n  1 -> 30 [size =\"47545344\"]\n  1 -> 32 [size =\"47545344\"]\n  1 -> 33 [size =\"47545344\"]\n  1 -> 36 [size =\"47545344\"]\n  1 -> 37 [size =\"47545344\"]\n  1 -> 42 [size =\"47545344\"]\n  1 -> 43 [size =\"47545344\"]\n  1 -> 44 [size =\"47545344\"]\n  1 -> 48 [size =\"47545344\"]\n  1 -> 49 [size =\"47545344\"]\n  2 [size=\"74752000\", alpha=\"0.14\", expect_size=\"37376000\"] \n  2 -> 30 [size =\"37376000\"]\n  2 -> 36 [size =\"37376000\"]\n  2 -> 37 [size =\"37376000\"]\n  2 -> 38 [size =\"37376000\"]\n  2 -> 44 [size =\"37376000\"]\n  2 -> 47 [size =\"37376000\"]\n  2 -> 50 [size =\"37376000\"]\n  3 [size=\"16998400\", alpha=\"0.09\", expect_size=\"8499200\"] \n  3 -> 30 [size =\"8499200\"]\n  3 -> 36 [size =\"8499200\"]\n  3 -> 37 [size =\"8499200\"]\n  3 -> 43 [size =\"8499200\"]\n  3 -> 45 [size =\"8499200\"]\n  3 -> 48 [size =\"8499200\"]\n  3 -> 50 [size =\"8499200\"]\n  4 [size=\"99616768\", alpha=\"0.15\", expect_size=\"49808384\"] \n  4 -> 30 [size =\"49808384\"]\n  4 -> 32 [size =\"49808384\"]\n  4 -> 37 [size =\"49808384\"]\n  4 -> 38 [size =\"49808384\"]\n  4 -> 49 [size =\"49808384\"]\n  4 -> 50 [size =\"49808384\"]\n  5 [size=\"62935040\", alpha=\"0.01\", expect_size=\"31467520\"] \n  5 -> 30 [size =\"31467520\"]\n  5 -> 31 [size =\"31467520\"]\n  5 -> 33 [size =\"31467520\"]\n  5 -> 36 [size =\"31467520\"]\n  5 -> 37 [size =\"31467520\"]\n  5 -> 38 [size =\"31467520\"]\n  5 -> 41 [size =\"31467520\"]\n  5 -> 43 [size =\"31467520\"]\n  5 -> 44 [size =\"31467520\"]\n  5 -> 49 [size =\"31467520\"]\n  6 [size=\"16752640\", alpha=\"0.16\", expect_size=\"8376320\"] \n  6 -> 31 [size =\"8376320\"]\n  6 -> 33 [size =\"8376320\"]\n  6 -> 37 [size =\"8376320\"]\n  6 -> 38 [size =\"8376320\"]\n  6 -> 41 [size =\"8376320\"]\n  7 [size=\"86013952\", alpha=\"0.19\", expect_size=\"43006976\"] \n  7 -> 37 [size =\"43006976\"]\n  7 -> 38 [size =\"43006976\"]\n  7 -> 41 [size =\"43006976\"]\n  7 -> 47 [size =\"43006976\"]\n  8 [size=\"33988608\", alpha=\"0.00\", expect_size=\"16994304\"] \n  8 -> 28 [size =\"16994304\"]\n  8 -> 29 [size =\"16994304\"]\n  8 -> 34 [size =\"16994304\"]\n  8 -> 37 [size =\"16994304\"]\n  8 -> 38 [size =\"16994304\"]\n  8 -> 39 [size =\"16994304\"]\n  8 -> 41 [size =\"16994304\"]\n  8 -> 47 [size =\"16994304\"]\n  9 [size=\"70782976\", alpha=\"0.11\", expect_size=\"35391488\"] \n  9 -> 29 [size =\"35391488\"]\n  9 -> 30 [size =\"35391488\"]\n  9 -> 32 [size =\"35391488\"]\n  9 -> 34 [size =\"35391488\"]\n  9 -> 36 [size =\"35391488\"]\n  9 -> 37 [size =\"35391488\"]\n  9 -> 38 [size =\"35391488\"]\n  9 -> 40 [size =\"35391488\"]\n  9 -> 41 [size =\"35391488\"]\n  9 -> 45 [size =\"35391488\"]\n  9 -> 48 [size =\"35391488\"]\n  10 [size=\"25255936\", alpha=\"0.18\", expect_size=\"12627968\"] \n  10 -> 32 [size =\"12627968\"]\n  10 -> 34 [size =\"12627968\"]\n  10 -> 37 [size =\"12627968\"]\n  10 -> 38 [size =\"12627968\"]\n  10 -> 41 [size =\"12627968\"]\n  10 -> 47 [size =\"12627968\"]\n  10 -> 49 [size =\"12627968\"]\n  11 [size=\"19601408\", alpha=\"0.03\", expect_size=\"9800704\"] \n  11 -> 36 [size =\"9800704\"]\n  11 -> 37 [size =\"9800704\"]\n  11 -> 41 [size =\"9800704\"]\n  11 -> 47 [size =\"9800704\"]\n  11 -> 50 [size =\"9800704\"]\n  12 [size=\"17940480\", alpha=\"0.10\", expect_size=\"8970240\"] \n  12 -> 30 [size =\"8970240\"]\n  12 -> 31 [size =\"8970240\"]\n  12 -> 36 [size =\"8970240\"]\n  12 -> 38 [size =\"8970240\"]\n  12 -> 41 [size =\"8970240\"]\n  12 -> 43 [size =\"8970240\"]\n  12 -> 44 [size =\"8970240\"]\n  13 [size=\"82733056\", alpha=\"0.09\", expect_size=\"41366528\"] \n  13 -> 30 [size =\"41366528\"]\n  13 -> 32 [size =\"41366528\"]\n  13 -> 34 [size =\"41366528\"]\n  13 -> 35 [size =\"41366528\"]\n  13 -> 36 [size =\"41366528\"]\n  13 -> 41 [size =\"41366528\"]\n  13 -> 48 [size =\"41366528\"]\n  14 [size=\"31119360\", alpha=\"0.03\", expect_size=\"15559680\"] \n  14 -> 31 [size =\"15559680\"]\n  14 -> 33 [size =\"15559680\"]\n  14 -> 34 [size =\"15559680\"]\n  14 -> 36 [size =\"15559680\"]\n  14 -> 41 [size =\"15559680\"]\n  14 -> 41 [size =\"15559680\"]\n  14 -> 50 [size =\"15559680\"]\n  15 [size=\"103559168\", alpha=\"0.16\", expect_size=\"51779584\"] \n  15 -> 33 [size =\"51779584\"]\n  15 -> 33 [size =\"51779584\"]\n  15 -> 34 [size =\"51779584\"]\n  15 -> 36 [size =\"51779584\"]\n  15 -> 39 [size =\"51779584\"]\n  15 -> 46 [size =\"51779584\"]\n  15 -> 50 [size =\"51779584\"]\n  16 [size=\"11755520\", alpha=\"0.07\", expect_size=\"5877760\"] \n  16 -> 29 [size =\"5877760\"]\n  16 -> 31 [size =\"5877760\"]\n  16 -> 33 [size =\"5877760\"]\n  16 -> 37 [size =\"5877760\"]\n  16 -> 38 [size =\"5877760\"]\n  16 -> 39 [size =\"5877760\"]\n  16 -> 41 [size =\"5877760\"]\n  16 -> 44 [size =\"5877760\"]\n  16 -> 50 [size =\"5877760\"]\n  17 [size=\"86964224\", alpha=\"0.11\", expect_size=\"43482112\"] \n  17 -> 33 [size =\"43482112\"]\n  17 -> 35 [size =\"43482112\"]\n  17 -> 38 [size =\"43482112\"]\n  17 -> 47 [size =\"43482112\"]\n  17 -> 48 [size =\"43482112\"]\n  17 -> 49 [size =\"43482112\"]\n  17 -> 50 [size =\"43482112\"]\n  18 [size=\"83109888\", alpha=\"0.04\", expect_size=\"41554944\"] \n  18 -> 31 [size =\"41554944\"]\n  18 -> 32 [size =\"41554944\"]\n  18 -> 33 [size =\"41554944\"]\n  18 -> 35 [size =\"41554944\"]\n  18 -> 47 [size =\"41554944\"]\n  18 -> 49 [size =\"41554944\"]\n  18 -> 50 [size =\"41554944\"]\n  19 [size=\"85223424\", alpha=\"0.19\", expect_size=\"42611712\"] \n  19 -> 33 [size =\"42611712\"]\n  19 -> 34 [size =\"42611712\"]\n  19 -> 36 [size =\"42611712\"]\n  19 -> 37 [size =\"42611712\"]\n  19 -> 38 [size =\"42611712\"]\n  19 -> 41 [size =\"42611712\"]\n  19 -> 47 [size =\"42611712\"]\n  20 [size=\"43134976\", alpha=\"0.02\", expect_size=\"21567488\"] \n  20 -> 33 [size =\"21567488\"]\n  20 -> 34 [size =\"21567488\"]\n  20 -> 38 [size =\"21567488\"]\n  20 -> 39 [size =\"21567488\"]\n  20 -> 41 [size =\"21567488\"]\n  20 -> 41 [size =\"21567488\"]\n  20 -> 48 [size =\"21567488\"]\n  20 -> 49 [size =\"21567488\"]\n  20 -> 50 [size =\"21567488\"]\n  21 [size=\"33605632\", alpha=\"0.04\", expect_size=\"16802816\"] \n  21 -> 30 [size =\"16802816\"]\n  21 -> 32 [size =\"16802816\"]\n  21 -> 34 [size =\"16802816\"]\n  21 -> 38 [size =\"16802816\"]\n  21 -> 39 [size =\"16802816\"]\n  21 -> 40 [size =\"16802816\"]\n  21 -> 50 [size =\"16802816\"]\n  22 [size=\"46465024\", alpha=\"0.19\", expect_size=\"23232512\"] \n  22 -> 30 [size =\"23232512\"]\n  22 -> 31 [size =\"23232512\"]\n  22 -> 33 [size =\"23232512\"]\n  22 -> 36 [size =\"23232512\"]\n  22 -> 37 [size =\"23232512\"]\n  22 -> 39 [size =\"23232512\"]\n  22 -> 43 [size =\"23232512\"]\n  22 -> 44 [size =\"23232512\"]\n  22 -> 46 [size =\"23232512\"]\n  22 -> 47 [size =\"23232512\"]\n  22 -> 48 [size =\"23232512\"]\n  22 -> 50 [size =\"23232512\"]\n  23 [size=\"95053824\", alpha=\"0.15\", expect_size=\"47526912\"] \n  23 -> 29 [size =\"47526912\"]\n  23 -> 30 [size =\"47526912\"]\n  23 -> 37 [size =\"47526912\"]\n  23 -> 38 [size =\"47526912\"]\n  23 -> 39 [size =\"47526912\"]\n  23 -> 39 [size =\"47526912\"]\n  23 -> 43 [size =\"47526912\"]\n  23 -> 47 [size =\"47526912\"]\n  23 -> 48 [size =\"47526912\"]\n  23 -> 49 [size =\"47526912\"]\n  23 -> 50 [size =\"47526912\"]\n  23 -> 50 [size =\"47526912\"]\n  24 [size=\"44611584\", alpha=\"0.11\", expect_size=\"22305792\"] \n  24 -> 30 [size =\"22305792\"]\n  24 -> 31 [size =\"22305792\"]\n  24 -> 33 [size =\"22305792\"]\n  24 -> 37 [size =\"22305792\"]\n  24 -> 38 [size =\"22305792\"]\n  24 -> 39 [size =\"22305792\"]\n  24 -> 41 [size =\"22305792\"]\n  24 -> 44 [size =\"22305792\"]\n  24 -> 45 [size =\"22305792\"]\n  24 -> 47 [size =\"22305792\"]\n  24 -> 48 [size =\"22305792\"]\n  24 -> 50 [size =\"22305792\"]\n  25 [size=\"60852224\", alpha=\"0.17\", expect_size=\"30426112\"] \n  25 -> 30 [size =\"30426112\"]\n  25 -> 32 [size =\"30426112\"]\n  25 -> 33 [size =\"30426112\"]\n  25 -> 36 [size =\"30426112\"]\n  25 -> 39 [size =\"30426112\"]\n  25 -> 40 [size =\"30426112\"]\n  25 -> 47 [size =\"30426112\"]\n  25 -> 48 [size =\"30426112\"]\n  25 -> 49 [size =\"30426112\"]\n  26 [size=\"43931648\", alpha=\"0.05\", expect_size=\"21965824\"] \n  26 -> 29 [size =\"21965824\"]\n  26 -> 30 [size =\"21965824\"]\n  26 -> 47 [size =\"21965824\"]\n  27 [size=\"77301760\", alpha=\"0.09\", expect_size=\"38650880\"] \n  27 -> 30 [size =\"38650880\"]\n  27 -> 31 [size =\"38650880\"]\n  27 -> 39 [size =\"38650880\"]\n  27 -> 42 [size =\"38650880\"]\n  27 -> 49 [size =\"38650880\"]\n  28 [size=\"35874816\", alpha=\"0.18\", expect_size=\"17937408\"] \n  29 [size=\"54329344\", alpha=\"0.19\", expect_size=\"27164672\"] \n  30 [size=\"48676864\", alpha=\"0.04\", expect_size=\"24338432\"] \n  31 [size=\"59824128\", alpha=\"0.11\", expect_size=\"29912064\"] \n  32 [size=\"78000128\", alpha=\"0.19\", expect_size=\"39000064\"] \n  33 [size=\"73107456\", alpha=\"0.03\", expect_size=\"36553728\"] \n  34 [size=\"51654656\", alpha=\"0.10\", expect_size=\"25827328\"] \n  35 [size=\"102776832\", alpha=\"0.18\", expect_size=\"51388416\"] \n  36 [size=\"90179584\", alpha=\"0.06\", expect_size=\"45089792\"] \n  37 [size=\"20129792\", alpha=\"0.10\", expect_size=\"10064896\"] \n  38 [size=\"62531584\", alpha=\"0.10\", expect_size=\"31265792\"] \n  39 [size=\"52142080\", alpha=\"0.05\", expect_size=\"26071040\"] \n  40 [size=\"49260544\", alpha=\"0.07\", expect_size=\"24630272\"] \n  41 [size=\"68657152\", alpha=\"0.14\", expect_size=\"34328576\"] \n  42 [size=\"25079808\", alpha=\"0.09\", expect_size=\"12539904\"] \n  43 [size=\"20353024\", alpha=\"0.02\", expect_size=\"10176512\"] \n  44 [size=\"32352256\", alpha=\"0.02\", expect_size=\"16176128\"] \n  45 [size=\"81717248\", alpha=\"0.13\", expect_size=\"40858624\"] \n  46 [size=\"72771584\", alpha=\"0.10\", expect_size=\"36385792\"] \n  47 [size=\"101163008\", alpha=\"0.02\", expect_size=\"50581504\"] \n  48 [size=\"54624256\", alpha=\"0.19\", expect_size=\"27312128\"] \n  49 [size=\"100151296\", alpha=\"0.06\", expect_size=\"50075648\"] \n  50 [size=\"29368320\", alpha=\"0.01\", expect_size=\"14684160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.886.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13521920\", alpha=\"0.17\", expect_size=\"5408768\"] \n  1 -> 25 [size =\"5408768\"]\n  1 -> 27 [size =\"5408768\"]\n  1 -> 31 [size =\"5408768\"]\n  1 -> 34 [size =\"5408768\"]\n  1 -> 34 [size =\"5408768\"]\n  1 -> 35 [size =\"5408768\"]\n  1 -> 36 [size =\"5408768\"]\n  1 -> 37 [size =\"5408768\"]\n  1 -> 40 [size =\"5408768\"]\n  1 -> 41 [size =\"5408768\"]\n  1 -> 49 [size =\"5408768\"]\n  1 -> 50 [size =\"5408768\"]\n  2 [size=\"27824640\", alpha=\"0.16\", expect_size=\"11129856\"] \n  2 -> 25 [size =\"11129856\"]\n  2 -> 26 [size =\"11129856\"]\n  2 -> 27 [size =\"11129856\"]\n  2 -> 29 [size =\"11129856\"]\n  2 -> 31 [size =\"11129856\"]\n  2 -> 34 [size =\"11129856\"]\n  2 -> 35 [size =\"11129856\"]\n  2 -> 37 [size =\"11129856\"]\n  2 -> 45 [size =\"11129856\"]\n  2 -> 50 [size =\"11129856\"]\n  3 [size=\"34652160\", alpha=\"0.10\", expect_size=\"13860864\"] \n  3 -> 25 [size =\"13860864\"]\n  3 -> 26 [size =\"13860864\"]\n  3 -> 27 [size =\"13860864\"]\n  3 -> 29 [size =\"13860864\"]\n  3 -> 31 [size =\"13860864\"]\n  3 -> 34 [size =\"13860864\"]\n  3 -> 37 [size =\"13860864\"]\n  3 -> 42 [size =\"13860864\"]\n  3 -> 45 [size =\"13860864\"]\n  3 -> 50 [size =\"13860864\"]\n  4 [size=\"45140480\", alpha=\"0.18\", expect_size=\"18056192\"] \n  4 -> 25 [size =\"18056192\"]\n  4 -> 26 [size =\"18056192\"]\n  4 -> 27 [size =\"18056192\"]\n  4 -> 28 [size =\"18056192\"]\n  4 -> 29 [size =\"18056192\"]\n  4 -> 31 [size =\"18056192\"]\n  4 -> 33 [size =\"18056192\"]\n  4 -> 34 [size =\"18056192\"]\n  4 -> 36 [size =\"18056192\"]\n  4 -> 43 [size =\"18056192\"]\n  4 -> 47 [size =\"18056192\"]\n  4 -> 48 [size =\"18056192\"]\n  4 -> 50 [size =\"18056192\"]\n  5 [size=\"18188800\", alpha=\"0.18\", expect_size=\"7275520\"] \n  5 -> 25 [size =\"7275520\"]\n  5 -> 28 [size =\"7275520\"]\n  5 -> 34 [size =\"7275520\"]\n  5 -> 36 [size =\"7275520\"]\n  5 -> 40 [size =\"7275520\"]\n  5 -> 48 [size =\"7275520\"]\n  5 -> 50 [size =\"7275520\"]\n  6 [size=\"24906240\", alpha=\"0.13\", expect_size=\"9962496\"] \n  6 -> 25 [size =\"9962496\"]\n  6 -> 36 [size =\"9962496\"]\n  6 -> 38 [size =\"9962496\"]\n  6 -> 40 [size =\"9962496\"]\n  6 -> 42 [size =\"9962496\"]\n  6 -> 44 [size =\"9962496\"]\n  6 -> 50 [size =\"9962496\"]\n  7 [size=\"125324800\", alpha=\"0.07\", expect_size=\"50129920\"] \n  7 -> 25 [size =\"50129920\"]\n  7 -> 29 [size =\"50129920\"]\n  7 -> 30 [size =\"50129920\"]\n  7 -> 32 [size =\"50129920\"]\n  7 -> 36 [size =\"50129920\"]\n  7 -> 42 [size =\"50129920\"]\n  7 -> 49 [size =\"50129920\"]\n  7 -> 50 [size =\"50129920\"]\n  8 [size=\"71966720\", alpha=\"0.10\", expect_size=\"28786688\"] \n  8 -> 25 [size =\"28786688\"]\n  8 -> 27 [size =\"28786688\"]\n  8 -> 32 [size =\"28786688\"]\n  8 -> 35 [size =\"28786688\"]\n  8 -> 37 [size =\"28786688\"]\n  8 -> 42 [size =\"28786688\"]\n  8 -> 50 [size =\"28786688\"]\n  9 [size=\"80094720\", alpha=\"0.05\", expect_size=\"32037888\"] \n  9 -> 25 [size =\"32037888\"]\n  9 -> 30 [size =\"32037888\"]\n  9 -> 31 [size =\"32037888\"]\n  9 -> 33 [size =\"32037888\"]\n  9 -> 37 [size =\"32037888\"]\n  9 -> 38 [size =\"32037888\"]\n  9 -> 40 [size =\"32037888\"]\n  9 -> 42 [size =\"32037888\"]\n  9 -> 44 [size =\"32037888\"]\n  10 [size=\"106961920\", alpha=\"0.06\", expect_size=\"42784768\"] \n  10 -> 25 [size =\"42784768\"]\n  10 -> 29 [size =\"42784768\"]\n  10 -> 32 [size =\"42784768\"]\n  10 -> 33 [size =\"42784768\"]\n  10 -> 35 [size =\"42784768\"]\n  10 -> 37 [size =\"42784768\"]\n  10 -> 38 [size =\"42784768\"]\n  10 -> 40 [size =\"42784768\"]\n  10 -> 44 [size =\"42784768\"]\n  10 -> 45 [size =\"42784768\"]\n  10 -> 48 [size =\"42784768\"]\n  10 -> 49 [size =\"42784768\"]\n  10 -> 50 [size =\"42784768\"]\n  11 [size=\"79674880\", alpha=\"0.04\", expect_size=\"31869952\"] \n  11 -> 27 [size =\"31869952\"]\n  11 -> 29 [size =\"31869952\"]\n  11 -> 32 [size =\"31869952\"]\n  11 -> 37 [size =\"31869952\"]\n  11 -> 38 [size =\"31869952\"]\n  11 -> 44 [size =\"31869952\"]\n  11 -> 45 [size =\"31869952\"]\n  11 -> 48 [size =\"31869952\"]\n  12 [size=\"62371840\", alpha=\"0.06\", expect_size=\"24948736\"] \n  12 -> 25 [size =\"24948736\"]\n  12 -> 27 [size =\"24948736\"]\n  12 -> 28 [size =\"24948736\"]\n  12 -> 30 [size =\"24948736\"]\n  12 -> 32 [size =\"24948736\"]\n  12 -> 34 [size =\"24948736\"]\n  12 -> 35 [size =\"24948736\"]\n  12 -> 36 [size =\"24948736\"]\n  12 -> 37 [size =\"24948736\"]\n  12 -> 38 [size =\"24948736\"]\n  12 -> 40 [size =\"24948736\"]\n  12 -> 42 [size =\"24948736\"]\n  12 -> 44 [size =\"24948736\"]\n  12 -> 48 [size =\"24948736\"]\n  13 [size=\"36423680\", alpha=\"0.08\", expect_size=\"14569472\"] \n  13 -> 27 [size =\"14569472\"]\n  13 -> 30 [size =\"14569472\"]\n  13 -> 36 [size =\"14569472\"]\n  13 -> 38 [size =\"14569472\"]\n  13 -> 39 [size =\"14569472\"]\n  13 -> 40 [size =\"14569472\"]\n  13 -> 44 [size =\"14569472\"]\n  13 -> 45 [size =\"14569472\"]\n  13 -> 48 [size =\"14569472\"]\n  13 -> 50 [size =\"14569472\"]\n  14 [size=\"92577280\", alpha=\"0.19\", expect_size=\"37030912\"] \n  14 -> 27 [size =\"37030912\"]\n  14 -> 29 [size =\"37030912\"]\n  14 -> 34 [size =\"37030912\"]\n  14 -> 36 [size =\"37030912\"]\n  14 -> 38 [size =\"37030912\"]\n  14 -> 39 [size =\"37030912\"]\n  14 -> 40 [size =\"37030912\"]\n  14 -> 43 [size =\"37030912\"]\n  14 -> 44 [size =\"37030912\"]\n  14 -> 45 [size =\"37030912\"]\n  14 -> 47 [size =\"37030912\"]\n  14 -> 48 [size =\"37030912\"]\n  14 -> 50 [size =\"37030912\"]\n  15 [size=\"77934080\", alpha=\"0.10\", expect_size=\"31173632\"] \n  15 -> 25 [size =\"31173632\"]\n  15 -> 31 [size =\"31173632\"]\n  15 -> 32 [size =\"31173632\"]\n  15 -> 34 [size =\"31173632\"]\n  15 -> 35 [size =\"31173632\"]\n  15 -> 37 [size =\"31173632\"]\n  15 -> 38 [size =\"31173632\"]\n  15 -> 40 [size =\"31173632\"]\n  15 -> 45 [size =\"31173632\"]\n  15 -> 48 [size =\"31173632\"]\n  15 -> 50 [size =\"31173632\"]\n  16 [size=\"65658880\", alpha=\"0.08\", expect_size=\"26263552\"] \n  16 -> 25 [size =\"26263552\"]\n  16 -> 26 [size =\"26263552\"]\n  16 -> 29 [size =\"26263552\"]\n  16 -> 34 [size =\"26263552\"]\n  16 -> 36 [size =\"26263552\"]\n  16 -> 37 [size =\"26263552\"]\n  16 -> 38 [size =\"26263552\"]\n  16 -> 40 [size =\"26263552\"]\n  16 -> 42 [size =\"26263552\"]\n  16 -> 43 [size =\"26263552\"]\n  16 -> 44 [size =\"26263552\"]\n  16 -> 45 [size =\"26263552\"]\n  16 -> 48 [size =\"26263552\"]\n  16 -> 50 [size =\"26263552\"]\n  17 [size=\"21667840\", alpha=\"0.05\", expect_size=\"8667136\"] \n  17 -> 30 [size =\"8667136\"]\n  17 -> 33 [size =\"8667136\"]\n  17 -> 34 [size =\"8667136\"]\n  17 -> 35 [size =\"8667136\"]\n  17 -> 38 [size =\"8667136\"]\n  17 -> 40 [size =\"8667136\"]\n  17 -> 42 [size =\"8667136\"]\n  17 -> 46 [size =\"8667136\"]\n  17 -> 48 [size =\"8667136\"]\n  18 [size=\"65592320\", alpha=\"0.17\", expect_size=\"26236928\"] \n  18 -> 28 [size =\"26236928\"]\n  18 -> 29 [size =\"26236928\"]\n  18 -> 30 [size =\"26236928\"]\n  18 -> 32 [size =\"26236928\"]\n  18 -> 35 [size =\"26236928\"]\n  18 -> 37 [size =\"26236928\"]\n  18 -> 38 [size =\"26236928\"]\n  18 -> 40 [size =\"26236928\"]\n  18 -> 42 [size =\"26236928\"]\n  18 -> 47 [size =\"26236928\"]\n  18 -> 50 [size =\"26236928\"]\n  19 [size=\"123368960\", alpha=\"0.10\", expect_size=\"49347584\"] \n  19 -> 25 [size =\"49347584\"]\n  19 -> 29 [size =\"49347584\"]\n  19 -> 31 [size =\"49347584\"]\n  19 -> 32 [size =\"49347584\"]\n  19 -> 38 [size =\"49347584\"]\n  19 -> 42 [size =\"49347584\"]\n  20 [size=\"34805760\", alpha=\"0.18\", expect_size=\"13922304\"] \n  20 -> 28 [size =\"13922304\"]\n  20 -> 29 [size =\"13922304\"]\n  20 -> 33 [size =\"13922304\"]\n  20 -> 38 [size =\"13922304\"]\n  20 -> 38 [size =\"13922304\"]\n  20 -> 42 [size =\"13922304\"]\n  20 -> 48 [size =\"13922304\"]\n  21 [size=\"71674880\", alpha=\"0.07\", expect_size=\"28669952\"] \n  21 -> 25 [size =\"28669952\"]\n  21 -> 28 [size =\"28669952\"]\n  21 -> 29 [size =\"28669952\"]\n  21 -> 31 [size =\"28669952\"]\n  21 -> 35 [size =\"28669952\"]\n  21 -> 40 [size =\"28669952\"]\n  21 -> 44 [size =\"28669952\"]\n  21 -> 48 [size =\"28669952\"]\n  21 -> 50 [size =\"28669952\"]\n  22 [size=\"94300160\", alpha=\"0.17\", expect_size=\"37720064\"] \n  22 -> 26 [size =\"37720064\"]\n  22 -> 27 [size =\"37720064\"]\n  22 -> 28 [size =\"37720064\"]\n  22 -> 29 [size =\"37720064\"]\n  22 -> 30 [size =\"37720064\"]\n  22 -> 31 [size =\"37720064\"]\n  22 -> 34 [size =\"37720064\"]\n  22 -> 35 [size =\"37720064\"]\n  22 -> 38 [size =\"37720064\"]\n  22 -> 40 [size =\"37720064\"]\n  22 -> 44 [size =\"37720064\"]\n  23 [size=\"129039360\", alpha=\"0.12\", expect_size=\"51615744\"] \n  23 -> 25 [size =\"51615744\"]\n  23 -> 27 [size =\"51615744\"]\n  23 -> 29 [size =\"51615744\"]\n  23 -> 29 [size =\"51615744\"]\n  23 -> 34 [size =\"51615744\"]\n  23 -> 35 [size =\"51615744\"]\n  23 -> 38 [size =\"51615744\"]\n  23 -> 40 [size =\"51615744\"]\n  23 -> 44 [size =\"51615744\"]\n  23 -> 48 [size =\"51615744\"]\n  23 -> 49 [size =\"51615744\"]\n  23 -> 50 [size =\"51615744\"]\n  24 [size=\"60247040\", alpha=\"0.12\", expect_size=\"24098816\"] \n  24 -> 25 [size =\"24098816\"]\n  24 -> 26 [size =\"24098816\"]\n  24 -> 27 [size =\"24098816\"]\n  24 -> 33 [size =\"24098816\"]\n  24 -> 34 [size =\"24098816\"]\n  24 -> 35 [size =\"24098816\"]\n  24 -> 37 [size =\"24098816\"]\n  24 -> 45 [size =\"24098816\"]\n  24 -> 48 [size =\"24098816\"]\n  24 -> 50 [size =\"24098816\"]\n  25 [size=\"51852800\", alpha=\"0.13\", expect_size=\"20741120\"] \n  26 [size=\"110837760\", alpha=\"0.16\", expect_size=\"44335104\"] \n  27 [size=\"42810880\", alpha=\"0.18\", expect_size=\"17124352\"] \n  28 [size=\"71592960\", alpha=\"0.10\", expect_size=\"28637184\"] \n  29 [size=\"53125120\", alpha=\"0.13\", expect_size=\"21250048\"] \n  30 [size=\"110451200\", alpha=\"0.12\", expect_size=\"44180480\"] \n  31 [size=\"99166720\", alpha=\"0.02\", expect_size=\"39666688\"] \n  32 [size=\"19688960\", alpha=\"0.01\", expect_size=\"7875584\"] \n  33 [size=\"122662400\", alpha=\"0.04\", expect_size=\"49064960\"] \n  34 [size=\"75740160\", alpha=\"0.00\", expect_size=\"30296064\"] \n  35 [size=\"28922880\", alpha=\"0.07\", expect_size=\"11569152\"] \n  36 [size=\"105254400\", alpha=\"0.04\", expect_size=\"42101760\"] \n  37 [size=\"80609280\", alpha=\"0.01\", expect_size=\"32243712\"] \n  38 [size=\"67202560\", alpha=\"0.08\", expect_size=\"26881024\"] \n  39 [size=\"123898880\", alpha=\"0.13\", expect_size=\"49559552\"] \n  40 [size=\"81753600\", alpha=\"0.02\", expect_size=\"32701440\"] \n  41 [size=\"34624000\", alpha=\"0.00\", expect_size=\"13849600\"] \n  42 [size=\"49077760\", alpha=\"0.13\", expect_size=\"19631104\"] \n  43 [size=\"56419840\", alpha=\"0.05\", expect_size=\"22567936\"] \n  44 [size=\"79966720\", alpha=\"0.05\", expect_size=\"31986688\"] \n  45 [size=\"81223680\", alpha=\"0.12\", expect_size=\"32489472\"] \n  46 [size=\"125017600\", alpha=\"0.15\", expect_size=\"50007040\"] \n  47 [size=\"27973120\", alpha=\"0.04\", expect_size=\"11189248\"] \n  48 [size=\"34583040\", alpha=\"0.02\", expect_size=\"13833216\"] \n  49 [size=\"79367680\", alpha=\"0.07\", expect_size=\"31747072\"] \n  50 [size=\"36656640\", alpha=\"0.09\", expect_size=\"14662656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.887.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"65208320\", alpha=\"0.05\", expect_size=\"26083328\"] \n  1 -> 3 [size =\"26083328\"]\n  2 [size=\"21798400\", alpha=\"0.00\", expect_size=\"8719360\"] \n  2 -> 3 [size =\"8719360\"]\n  2 -> 4 [size =\"8719360\"]\n  3 [size=\"19182080\", alpha=\"0.19\", expect_size=\"7672832\"] \n  3 -> 6 [size =\"7672832\"]\n  4 [size=\"92364800\", alpha=\"0.01\", expect_size=\"36945920\"] \n  4 -> 5 [size =\"36945920\"]\n  4 -> 6 [size =\"36945920\"]\n  5 [size=\"105676800\", alpha=\"0.15\", expect_size=\"42270720\"] \n  5 -> 7 [size =\"42270720\"]\n  5 -> 8 [size =\"42270720\"]\n  6 [size=\"55091200\", alpha=\"0.13\", expect_size=\"22036480\"] \n  6 -> 7 [size =\"22036480\"]\n  6 -> 8 [size =\"22036480\"]\n  7 [size=\"90391040\", alpha=\"0.03\", expect_size=\"36156416\"] \n  7 -> 9 [size =\"36156416\"]\n  7 -> 10 [size =\"36156416\"]\n  7 -> 11 [size =\"36156416\"]\n  8 [size=\"43440640\", alpha=\"0.13\", expect_size=\"17376256\"] \n  8 -> 10 [size =\"17376256\"]\n  9 [size=\"47464960\", alpha=\"0.18\", expect_size=\"18985984\"] \n  9 -> 12 [size =\"18985984\"]\n  10 [size=\"122700800\", alpha=\"0.17\", expect_size=\"49080320\"] \n  10 -> 14 [size =\"49080320\"]\n  11 [size=\"17346560\", alpha=\"0.13\", expect_size=\"6938624\"] \n  11 -> 12 [size =\"6938624\"]\n  11 -> 13 [size =\"6938624\"]\n  12 [size=\"47311360\", alpha=\"0.02\", expect_size=\"18924544\"] \n  13 [size=\"47605760\", alpha=\"0.11\", expect_size=\"19042304\"] \n  13 -> 15 [size =\"19042304\"]\n  13 -> 16 [size =\"19042304\"]\n  14 [size=\"40657920\", alpha=\"0.06\", expect_size=\"16263168\"] \n  14 -> 15 [size =\"16263168\"]\n  14 -> 16 [size =\"16263168\"]\n  15 [size=\"45273600\", alpha=\"0.01\", expect_size=\"18109440\"] \n  15 -> 18 [size =\"18109440\"]\n  16 [size=\"17472000\", alpha=\"0.03\", expect_size=\"6988800\"] \n  16 -> 17 [size =\"6988800\"]\n  16 -> 18 [size =\"6988800\"]\n  16 -> 19 [size =\"6988800\"]\n  17 [size=\"92843520\", alpha=\"0.10\", expect_size=\"37137408\"] \n  18 [size=\"109278720\", alpha=\"0.15\", expect_size=\"43711488\"] \n  18 -> 20 [size =\"43711488\"]\n  19 [size=\"65070080\", alpha=\"0.09\", expect_size=\"26028032\"] \n  19 -> 21 [size =\"26028032\"]\n  20 [size=\"52354560\", alpha=\"0.19\", expect_size=\"20941824\"] \n  20 -> 22 [size =\"20941824\"]\n  20 -> 23 [size =\"20941824\"]\n  21 [size=\"34944000\", alpha=\"0.19\", expect_size=\"13977600\"] \n  21 -> 22 [size =\"13977600\"]\n  21 -> 23 [size =\"13977600\"]\n  22 [size=\"110648320\", alpha=\"0.19\", expect_size=\"44259328\"] \n  22 -> 25 [size =\"44259328\"]\n  22 -> 26 [size =\"44259328\"]\n  23 [size=\"122903040\", alpha=\"0.01\", expect_size=\"49161216\"] \n  23 -> 24 [size =\"49161216\"]\n  23 -> 25 [size =\"49161216\"]\n  24 [size=\"70379520\", alpha=\"0.16\", expect_size=\"28151808\"] \n  24 -> 27 [size =\"28151808\"]\n  25 [size=\"104473600\", alpha=\"0.07\", expect_size=\"41789440\"] \n  25 -> 28 [size =\"41789440\"]\n  25 -> 29 [size =\"41789440\"]\n  26 [size=\"109995520\", alpha=\"0.06\", expect_size=\"43998208\"] \n  26 -> 27 [size =\"43998208\"]\n  26 -> 28 [size =\"43998208\"]\n  27 [size=\"125829120\", alpha=\"0.17\", expect_size=\"50331648\"] \n  27 -> 31 [size =\"50331648\"]\n  27 -> 32 [size =\"50331648\"]\n  28 [size=\"69117440\", alpha=\"0.13\", expect_size=\"27646976\"] \n  29 [size=\"36800000\", alpha=\"0.15\", expect_size=\"14720000\"] \n  29 -> 30 [size =\"14720000\"]\n  29 -> 31 [size =\"14720000\"]\n  29 -> 32 [size =\"14720000\"]\n  30 [size=\"87738880\", alpha=\"0.16\", expect_size=\"35095552\"] \n  30 -> 33 [size =\"35095552\"]\n  30 -> 34 [size =\"35095552\"]\n  31 [size=\"82752000\", alpha=\"0.18\", expect_size=\"33100800\"] \n  31 -> 34 [size =\"33100800\"]\n  32 [size=\"73945600\", alpha=\"0.05\", expect_size=\"29578240\"] \n  33 [size=\"70005760\", alpha=\"0.18\", expect_size=\"28002304\"] \n  33 -> 36 [size =\"28002304\"]\n  34 [size=\"77009920\", alpha=\"0.16\", expect_size=\"30803968\"] \n  34 -> 35 [size =\"30803968\"]\n  34 -> 36 [size =\"30803968\"]\n  35 [size=\"56253440\", alpha=\"0.19\", expect_size=\"22501376\"] \n  35 -> 37 [size =\"22501376\"]\n  36 [size=\"100305920\", alpha=\"0.03\", expect_size=\"40122368\"] \n  36 -> 38 [size =\"40122368\"]\n  37 [size=\"15224320\", alpha=\"0.01\", expect_size=\"6089728\"] \n  37 -> 40 [size =\"6089728\"]\n  38 [size=\"114224640\", alpha=\"0.14\", expect_size=\"45689856\"] \n  38 -> 39 [size =\"45689856\"]\n  39 [size=\"73743360\", alpha=\"0.17\", expect_size=\"29497344\"] \n  40 [size=\"46108160\", alpha=\"0.06\", expect_size=\"18443264\"] \n  40 -> 41 [size =\"18443264\"]\n  40 -> 42 [size =\"18443264\"]\n  40 -> 43 [size =\"18443264\"]\n  41 [size=\"22947840\", alpha=\"0.19\", expect_size=\"9179136\"] \n  42 [size=\"126469120\", alpha=\"0.09\", expect_size=\"50587648\"] \n  42 -> 44 [size =\"50587648\"]\n  42 -> 46 [size =\"50587648\"]\n  43 [size=\"36981760\", alpha=\"0.17\", expect_size=\"14792704\"] \n  43 -> 45 [size =\"14792704\"]\n  44 [size=\"24916480\", alpha=\"0.15\", expect_size=\"9966592\"] \n  44 -> 47 [size =\"9966592\"]\n  44 -> 48 [size =\"9966592\"]\n  44 -> 49 [size =\"9966592\"]\n  45 [size=\"117826560\", alpha=\"0.08\", expect_size=\"47130624\"] \n  45 -> 48 [size =\"47130624\"]\n  45 -> 49 [size =\"47130624\"]\n  46 [size=\"111951360\", alpha=\"0.18\", expect_size=\"44780544\"] \n  46 -> 47 [size =\"44780544\"]\n  47 [size=\"129617920\", alpha=\"0.07\", expect_size=\"51847168\"] \n  47 -> 50 [size =\"51847168\"]\n  48 [size=\"14638080\", alpha=\"0.05\", expect_size=\"5855232\"] \n  49 [size=\"99115520\", alpha=\"0.07\", expect_size=\"39646208\"] \n  50 [size=\"81118720\", alpha=\"0.02\", expect_size=\"32447488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.888.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51750912\", alpha=\"0.09\", expect_size=\"25875456\"] \n  1 -> 2 [size =\"25875456\"]\n  2 [size=\"20371456\", alpha=\"0.19\", expect_size=\"10185728\"] \n  2 -> 3 [size =\"10185728\"]\n  3 [size=\"104155136\", alpha=\"0.17\", expect_size=\"52077568\"] \n  3 -> 4 [size =\"52077568\"]\n  4 [size=\"18888704\", alpha=\"0.15\", expect_size=\"9444352\"] \n  4 -> 5 [size =\"9444352\"]\n  5 [size=\"74457088\", alpha=\"0.16\", expect_size=\"37228544\"] \n  5 -> 6 [size =\"37228544\"]\n  6 [size=\"97415168\", alpha=\"0.18\", expect_size=\"48707584\"] \n  6 -> 7 [size =\"48707584\"]\n  7 [size=\"77023232\", alpha=\"0.17\", expect_size=\"38511616\"] \n  7 -> 8 [size =\"38511616\"]\n  8 [size=\"52279296\", alpha=\"0.15\", expect_size=\"26139648\"] \n  8 -> 9 [size =\"26139648\"]\n  9 [size=\"37808128\", alpha=\"0.03\", expect_size=\"18904064\"] \n  9 -> 10 [size =\"18904064\"]\n  10 [size=\"61081600\", alpha=\"0.13\", expect_size=\"30540800\"] \n  10 -> 11 [size =\"30540800\"]\n  11 [size=\"54628352\", alpha=\"0.19\", expect_size=\"27314176\"] \n  11 -> 12 [size =\"27314176\"]\n  12 [size=\"97685504\", alpha=\"0.13\", expect_size=\"48842752\"] \n  12 -> 13 [size =\"48842752\"]\n  13 [size=\"93818880\", alpha=\"0.06\", expect_size=\"46909440\"] \n  13 -> 14 [size =\"46909440\"]\n  14 [size=\"81172480\", alpha=\"0.09\", expect_size=\"40586240\"] \n  14 -> 15 [size =\"40586240\"]\n  15 [size=\"55492608\", alpha=\"0.01\", expect_size=\"27746304\"] \n  15 -> 16 [size =\"27746304\"]\n  16 [size=\"36630528\", alpha=\"0.14\", expect_size=\"18315264\"] \n  16 -> 17 [size =\"18315264\"]\n  17 [size=\"24928256\", alpha=\"0.07\", expect_size=\"12464128\"] \n  17 -> 18 [size =\"12464128\"]\n  18 [size=\"10883072\", alpha=\"0.09\", expect_size=\"5441536\"] \n  18 -> 19 [size =\"5441536\"]\n  19 [size=\"80637952\", alpha=\"0.02\", expect_size=\"40318976\"] \n  19 -> 20 [size =\"40318976\"]\n  20 [size=\"92813312\", alpha=\"0.20\", expect_size=\"46406656\"] \n  20 -> 21 [size =\"46406656\"]\n  21 [size=\"61366272\", alpha=\"0.06\", expect_size=\"30683136\"] \n  21 -> 22 [size =\"30683136\"]\n  22 [size=\"55156736\", alpha=\"0.13\", expect_size=\"27578368\"] \n  22 -> 23 [size =\"27578368\"]\n  23 [size=\"24160256\", alpha=\"0.01\", expect_size=\"12080128\"] \n  23 -> 24 [size =\"12080128\"]\n  24 [size=\"52422656\", alpha=\"0.11\", expect_size=\"26211328\"] \n  24 -> 25 [size =\"26211328\"]\n  25 [size=\"95686656\", alpha=\"0.14\", expect_size=\"47843328\"] \n  25 -> 26 [size =\"47843328\"]\n  26 [size=\"101830656\", alpha=\"0.16\", expect_size=\"50915328\"] \n  26 -> 27 [size =\"50915328\"]\n  27 [size=\"73854976\", alpha=\"0.11\", expect_size=\"36927488\"] \n  27 -> 28 [size =\"36927488\"]\n  28 [size=\"104763392\", alpha=\"0.16\", expect_size=\"52381696\"] \n  28 -> 29 [size =\"52381696\"]\n  29 [size=\"52209664\", alpha=\"0.06\", expect_size=\"26104832\"] \n  29 -> 30 [size =\"26104832\"]\n  30 [size=\"63903744\", alpha=\"0.07\", expect_size=\"31951872\"] \n  30 -> 31 [size =\"31951872\"]\n  31 [size=\"62109696\", alpha=\"0.18\", expect_size=\"31054848\"] \n  31 -> 32 [size =\"31054848\"]\n  32 [size=\"88092672\", alpha=\"0.07\", expect_size=\"44046336\"] \n  32 -> 33 [size =\"44046336\"]\n  33 [size=\"57368576\", alpha=\"0.13\", expect_size=\"28684288\"] \n  33 -> 34 [size =\"28684288\"]\n  34 [size=\"63608832\", alpha=\"0.15\", expect_size=\"31804416\"] \n  34 -> 35 [size =\"31804416\"]\n  35 [size=\"20846592\", alpha=\"0.06\", expect_size=\"10423296\"] \n  35 -> 36 [size =\"10423296\"]\n  36 [size=\"87425024\", alpha=\"0.03\", expect_size=\"43712512\"] \n  36 -> 37 [size =\"43712512\"]\n  37 [size=\"67158016\", alpha=\"0.02\", expect_size=\"33579008\"] \n  37 -> 38 [size =\"33579008\"]\n  38 [size=\"26585088\", alpha=\"0.02\", expect_size=\"13292544\"] \n  38 -> 39 [size =\"13292544\"]\n  39 [size=\"101873664\", alpha=\"0.17\", expect_size=\"50936832\"] \n  39 -> 40 [size =\"50936832\"]\n  40 [size=\"37228544\", alpha=\"0.09\", expect_size=\"18614272\"] \n  40 -> 41 [size =\"18614272\"]\n  41 [size=\"71991296\", alpha=\"0.12\", expect_size=\"35995648\"] \n  41 -> 42 [size =\"35995648\"]\n  42 [size=\"61562880\", alpha=\"0.04\", expect_size=\"30781440\"] \n  42 -> 43 [size =\"30781440\"]\n  43 [size=\"93138944\", alpha=\"0.19\", expect_size=\"46569472\"] \n  43 -> 44 [size =\"46569472\"]\n  44 [size=\"61315072\", alpha=\"0.03\", expect_size=\"30657536\"] \n  44 -> 45 [size =\"30657536\"]\n  45 [size=\"36775936\", alpha=\"0.05\", expect_size=\"18387968\"] \n  45 -> 46 [size =\"18387968\"]\n  46 [size=\"64532480\", alpha=\"0.07\", expect_size=\"32266240\"] \n  46 -> 47 [size =\"32266240\"]\n  47 [size=\"76353536\", alpha=\"0.02\", expect_size=\"38176768\"] \n  47 -> 48 [size =\"38176768\"]\n  48 [size=\"86683648\", alpha=\"0.17\", expect_size=\"43341824\"] \n  48 -> 49 [size =\"43341824\"]\n  49 [size=\"95922176\", alpha=\"0.01\", expect_size=\"47961088\"] \n  49 -> 50 [size =\"47961088\"]\n  50 [size=\"79847424\", alpha=\"0.16\", expect_size=\"39923712\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.889.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"15089664\", alpha=\"0.13\", expect_size=\"7544832\"] \n  1 -> 10 [size =\"7544832\"]\n  2 [size=\"60610560\", alpha=\"0.18\", expect_size=\"30305280\"] \n  2 -> 8 [size =\"30305280\"]\n  3 [size=\"75077632\", alpha=\"0.17\", expect_size=\"37538816\"] \n  3 -> 10 [size =\"37538816\"]\n  4 [size=\"56080384\", alpha=\"0.02\", expect_size=\"28040192\"] \n  4 -> 9 [size =\"28040192\"]\n  4 -> 12 [size =\"28040192\"]\n  5 [size=\"66658304\", alpha=\"0.03\", expect_size=\"33329152\"] \n  5 -> 11 [size =\"33329152\"]\n  5 -> 12 [size =\"33329152\"]\n  6 [size=\"65767424\", alpha=\"0.09\", expect_size=\"32883712\"] \n  6 -> 10 [size =\"32883712\"]\n  6 -> 11 [size =\"32883712\"]\n  7 [size=\"91787264\", alpha=\"0.06\", expect_size=\"45893632\"] \n  7 -> 11 [size =\"45893632\"]\n  8 [size=\"85929984\", alpha=\"0.12\", expect_size=\"42964992\"] \n  8 -> 15 [size =\"42964992\"]\n  8 -> 16 [size =\"42964992\"]\n  9 [size=\"58787840\", alpha=\"0.09\", expect_size=\"29393920\"] \n  9 -> 15 [size =\"29393920\"]\n  9 -> 17 [size =\"29393920\"]\n  9 -> 18 [size =\"29393920\"]\n  9 -> 19 [size =\"29393920\"]\n  10 [size=\"39768064\", alpha=\"0.08\", expect_size=\"19884032\"] \n  10 -> 15 [size =\"19884032\"]\n  10 -> 16 [size =\"19884032\"]\n  11 [size=\"17793024\", alpha=\"0.08\", expect_size=\"8896512\"] \n  11 -> 14 [size =\"8896512\"]\n  11 -> 17 [size =\"8896512\"]\n  11 -> 19 [size =\"8896512\"]\n  11 -> 20 [size =\"8896512\"]\n  12 [size=\"77099008\", alpha=\"0.03\", expect_size=\"38549504\"] \n  12 -> 13 [size =\"38549504\"]\n  13 [size=\"69320704\", alpha=\"0.12\", expect_size=\"34660352\"] \n  13 -> 21 [size =\"34660352\"]\n  13 -> 28 [size =\"34660352\"]\n  14 [size=\"52936704\", alpha=\"0.16\", expect_size=\"26468352\"] \n  14 -> 28 [size =\"26468352\"]\n  15 [size=\"60473344\", alpha=\"0.14\", expect_size=\"30236672\"] \n  15 -> 22 [size =\"30236672\"]\n  16 [size=\"73977856\", alpha=\"0.08\", expect_size=\"36988928\"] \n  16 -> 21 [size =\"36988928\"]\n  16 -> 23 [size =\"36988928\"]\n  16 -> 24 [size =\"36988928\"]\n  16 -> 26 [size =\"36988928\"]\n  16 -> 28 [size =\"36988928\"]\n  17 [size=\"24311808\", alpha=\"0.15\", expect_size=\"12155904\"] \n  17 -> 26 [size =\"12155904\"]\n  17 -> 27 [size =\"12155904\"]\n  18 [size=\"53735424\", alpha=\"0.18\", expect_size=\"26867712\"] \n  18 -> 26 [size =\"26867712\"]\n  19 [size=\"16953344\", alpha=\"0.07\", expect_size=\"8476672\"] \n  19 -> 22 [size =\"8476672\"]\n  19 -> 25 [size =\"8476672\"]\n  19 -> 26 [size =\"8476672\"]\n  20 [size=\"57415680\", alpha=\"0.04\", expect_size=\"28707840\"] \n  20 -> 24 [size =\"28707840\"]\n  21 [size=\"93036544\", alpha=\"0.03\", expect_size=\"46518272\"] \n  21 -> 31 [size =\"46518272\"]\n  21 -> 34 [size =\"46518272\"]\n  22 [size=\"35649536\", alpha=\"0.12\", expect_size=\"17824768\"] \n  22 -> 31 [size =\"17824768\"]\n  23 [size=\"48248832\", alpha=\"0.15\", expect_size=\"24124416\"] \n  23 -> 29 [size =\"24124416\"]\n  23 -> 33 [size =\"24124416\"]\n  24 [size=\"12830720\", alpha=\"0.07\", expect_size=\"6415360\"] \n  24 -> 31 [size =\"6415360\"]\n  25 [size=\"89133056\", alpha=\"0.12\", expect_size=\"44566528\"] \n  25 -> 30 [size =\"44566528\"]\n  26 [size=\"60049408\", alpha=\"0.08\", expect_size=\"30024704\"] \n  26 -> 30 [size =\"30024704\"]\n  26 -> 32 [size =\"30024704\"]\n  26 -> 34 [size =\"30024704\"]\n  27 [size=\"99209216\", alpha=\"0.01\", expect_size=\"49604608\"] \n  27 -> 30 [size =\"49604608\"]\n  27 -> 31 [size =\"49604608\"]\n  27 -> 32 [size =\"49604608\"]\n  28 [size=\"74510336\", alpha=\"0.10\", expect_size=\"37255168\"] \n  28 -> 29 [size =\"37255168\"]\n  28 -> 30 [size =\"37255168\"]\n  28 -> 32 [size =\"37255168\"]\n  28 -> 34 [size =\"37255168\"]\n  29 [size=\"66308096\", alpha=\"0.10\", expect_size=\"33154048\"] \n  29 -> 37 [size =\"33154048\"]\n  30 [size=\"97841152\", alpha=\"0.16\", expect_size=\"48920576\"] \n  30 -> 35 [size =\"48920576\"]\n  30 -> 36 [size =\"48920576\"]\n  30 -> 38 [size =\"48920576\"]\n  30 -> 42 [size =\"48920576\"]\n  31 [size=\"23437312\", alpha=\"0.03\", expect_size=\"11718656\"] \n  31 -> 35 [size =\"11718656\"]\n  31 -> 40 [size =\"11718656\"]\n  31 -> 41 [size =\"11718656\"]\n  32 [size=\"36442112\", alpha=\"0.05\", expect_size=\"18221056\"] \n  32 -> 35 [size =\"18221056\"]\n  32 -> 39 [size =\"18221056\"]\n  32 -> 40 [size =\"18221056\"]\n  33 [size=\"92610560\", alpha=\"0.19\", expect_size=\"46305280\"] \n  33 -> 38 [size =\"46305280\"]\n  33 -> 39 [size =\"46305280\"]\n  33 -> 40 [size =\"46305280\"]\n  33 -> 41 [size =\"46305280\"]\n  34 [size=\"67790848\", alpha=\"0.01\", expect_size=\"33895424\"] \n  34 -> 37 [size =\"33895424\"]\n  34 -> 39 [size =\"33895424\"]\n  34 -> 42 [size =\"33895424\"]\n  35 [size=\"101949440\", alpha=\"0.15\", expect_size=\"50974720\"] \n  35 -> 43 [size =\"50974720\"]\n  35 -> 45 [size =\"50974720\"]\n  35 -> 46 [size =\"50974720\"]\n  35 -> 47 [size =\"50974720\"]\n  35 -> 48 [size =\"50974720\"]\n  35 -> 50 [size =\"50974720\"]\n  36 [size=\"62519296\", alpha=\"0.02\", expect_size=\"31259648\"] \n  36 -> 47 [size =\"31259648\"]\n  36 -> 48 [size =\"31259648\"]\n  36 -> 50 [size =\"31259648\"]\n  37 [size=\"99151872\", alpha=\"0.12\", expect_size=\"49575936\"] \n  37 -> 46 [size =\"49575936\"]\n  38 [size=\"104407040\", alpha=\"0.11\", expect_size=\"52203520\"] \n  38 -> 43 [size =\"52203520\"]\n  38 -> 45 [size =\"52203520\"]\n  38 -> 47 [size =\"52203520\"]\n  39 [size=\"59355136\", alpha=\"0.11\", expect_size=\"29677568\"] \n  39 -> 45 [size =\"29677568\"]\n  39 -> 49 [size =\"29677568\"]\n  40 [size=\"12300288\", alpha=\"0.02\", expect_size=\"6150144\"] \n  40 -> 44 [size =\"6150144\"]\n  40 -> 47 [size =\"6150144\"]\n  40 -> 49 [size =\"6150144\"]\n  41 [size=\"86896640\", alpha=\"0.10\", expect_size=\"43448320\"] \n  41 -> 48 [size =\"43448320\"]\n  42 [size=\"101709824\", alpha=\"0.03\", expect_size=\"50854912\"] \n  42 -> 43 [size =\"50854912\"]\n  42 -> 48 [size =\"50854912\"]\n  42 -> 50 [size =\"50854912\"]\n  43 [size=\"28979200\", alpha=\"0.04\", expect_size=\"14489600\"] \n  44 [size=\"21917696\", alpha=\"0.06\", expect_size=\"10958848\"] \n  45 [size=\"28600320\", alpha=\"0.04\", expect_size=\"14300160\"] \n  46 [size=\"99018752\", alpha=\"0.13\", expect_size=\"49509376\"] \n  47 [size=\"13549568\", alpha=\"0.01\", expect_size=\"6774784\"] \n  48 [size=\"69138432\", alpha=\"0.02\", expect_size=\"34569216\"] \n  49 [size=\"25917440\", alpha=\"0.15\", expect_size=\"12958720\"] \n  50 [size=\"79099904\", alpha=\"0.06\", expect_size=\"39549952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90001920\", alpha=\"0.05\", expect_size=\"36000768\"] \n  1 -> 10 [size =\"36000768\"]\n  1 -> 11 [size =\"36000768\"]\n  2 [size=\"108784640\", alpha=\"0.15\", expect_size=\"43513856\"] \n  2 -> 10 [size =\"43513856\"]\n  3 [size=\"80565760\", alpha=\"0.05\", expect_size=\"32226304\"] \n  3 -> 10 [size =\"32226304\"]\n  3 -> 11 [size =\"32226304\"]\n  4 [size=\"105502720\", alpha=\"0.14\", expect_size=\"42201088\"] \n  4 -> 10 [size =\"42201088\"]\n  5 [size=\"69736960\", alpha=\"0.07\", expect_size=\"27894784\"] \n  5 -> 9 [size =\"27894784\"]\n  5 -> 10 [size =\"27894784\"]\n  5 -> 11 [size =\"27894784\"]\n  6 [size=\"41784320\", alpha=\"0.02\", expect_size=\"16713728\"] \n  6 -> 10 [size =\"16713728\"]\n  7 [size=\"35182080\", alpha=\"0.12\", expect_size=\"14072832\"] \n  7 -> 10 [size =\"14072832\"]\n  7 -> 11 [size =\"14072832\"]\n  8 [size=\"99921920\", alpha=\"0.13\", expect_size=\"39968768\"] \n  8 -> 9 [size =\"39968768\"]\n  8 -> 11 [size =\"39968768\"]\n  8 -> 12 [size =\"39968768\"]\n  9 [size=\"65062400\", alpha=\"0.12\", expect_size=\"26024960\"] \n  9 -> 13 [size =\"26024960\"]\n  9 -> 16 [size =\"26024960\"]\n  9 -> 17 [size =\"26024960\"]\n  9 -> 18 [size =\"26024960\"]\n  9 -> 20 [size =\"26024960\"]\n  9 -> 21 [size =\"26024960\"]\n  9 -> 22 [size =\"26024960\"]\n  10 [size=\"63009280\", alpha=\"0.16\", expect_size=\"25203712\"] \n  10 -> 13 [size =\"25203712\"]\n  10 -> 15 [size =\"25203712\"]\n  10 -> 16 [size =\"25203712\"]\n  10 -> 17 [size =\"25203712\"]\n  10 -> 18 [size =\"25203712\"]\n  10 -> 20 [size =\"25203712\"]\n  10 -> 21 [size =\"25203712\"]\n  10 -> 22 [size =\"25203712\"]\n  11 [size=\"51128320\", alpha=\"0.13\", expect_size=\"20451328\"] \n  11 -> 13 [size =\"20451328\"]\n  11 -> 14 [size =\"20451328\"]\n  11 -> 16 [size =\"20451328\"]\n  11 -> 18 [size =\"20451328\"]\n  11 -> 20 [size =\"20451328\"]\n  12 [size=\"80038400\", alpha=\"0.04\", expect_size=\"32015360\"] \n  12 -> 13 [size =\"32015360\"]\n  12 -> 15 [size =\"32015360\"]\n  12 -> 16 [size =\"32015360\"]\n  12 -> 18 [size =\"32015360\"]\n  12 -> 19 [size =\"32015360\"]\n  12 -> 20 [size =\"32015360\"]\n  12 -> 21 [size =\"32015360\"]\n  13 [size=\"50664960\", alpha=\"0.14\", expect_size=\"20265984\"] \n  13 -> 24 [size =\"20265984\"]\n  13 -> 30 [size =\"20265984\"]\n  13 -> 30 [size =\"20265984\"]\n  13 -> 31 [size =\"20265984\"]\n  14 [size=\"79400960\", alpha=\"0.18\", expect_size=\"31760384\"] \n  14 -> 26 [size =\"31760384\"]\n  14 -> 27 [size =\"31760384\"]\n  14 -> 29 [size =\"31760384\"]\n  14 -> 31 [size =\"31760384\"]\n  15 [size=\"46927360\", alpha=\"0.17\", expect_size=\"18770944\"] \n  15 -> 24 [size =\"18770944\"]\n  15 -> 26 [size =\"18770944\"]\n  15 -> 27 [size =\"18770944\"]\n  15 -> 29 [size =\"18770944\"]\n  15 -> 31 [size =\"18770944\"]\n  15 -> 32 [size =\"18770944\"]\n  16 [size=\"87365120\", alpha=\"0.12\", expect_size=\"34946048\"] \n  16 -> 25 [size =\"34946048\"]\n  16 -> 26 [size =\"34946048\"]\n  16 -> 27 [size =\"34946048\"]\n  16 -> 29 [size =\"34946048\"]\n  16 -> 30 [size =\"34946048\"]\n  17 [size=\"98680320\", alpha=\"0.00\", expect_size=\"39472128\"] \n  17 -> 24 [size =\"39472128\"]\n  17 -> 25 [size =\"39472128\"]\n  17 -> 26 [size =\"39472128\"]\n  17 -> 29 [size =\"39472128\"]\n  17 -> 30 [size =\"39472128\"]\n  18 [size=\"48650240\", alpha=\"0.10\", expect_size=\"19460096\"] \n  18 -> 24 [size =\"19460096\"]\n  18 -> 25 [size =\"19460096\"]\n  18 -> 27 [size =\"19460096\"]\n  18 -> 29 [size =\"19460096\"]\n  18 -> 30 [size =\"19460096\"]\n  18 -> 31 [size =\"19460096\"]\n  18 -> 32 [size =\"19460096\"]\n  19 [size=\"126269440\", alpha=\"0.04\", expect_size=\"50507776\"] \n  19 -> 23 [size =\"50507776\"]\n  19 -> 26 [size =\"50507776\"]\n  19 -> 27 [size =\"50507776\"]\n  19 -> 28 [size =\"50507776\"]\n  19 -> 29 [size =\"50507776\"]\n  19 -> 30 [size =\"50507776\"]\n  19 -> 31 [size =\"50507776\"]\n  20 [size=\"79720960\", alpha=\"0.06\", expect_size=\"31888384\"] \n  20 -> 23 [size =\"31888384\"]\n  20 -> 26 [size =\"31888384\"]\n  20 -> 27 [size =\"31888384\"]\n  20 -> 29 [size =\"31888384\"]\n  20 -> 30 [size =\"31888384\"]\n  20 -> 30 [size =\"31888384\"]\n  21 [size=\"54341120\", alpha=\"0.00\", expect_size=\"21736448\"] \n  21 -> 23 [size =\"21736448\"]\n  21 -> 26 [size =\"21736448\"]\n  21 -> 29 [size =\"21736448\"]\n  22 [size=\"130693120\", alpha=\"0.11\", expect_size=\"52277248\"] \n  22 -> 23 [size =\"52277248\"]\n  22 -> 26 [size =\"52277248\"]\n  22 -> 30 [size =\"52277248\"]\n  23 [size=\"38807040\", alpha=\"0.13\", expect_size=\"15522816\"] \n  23 -> 33 [size =\"15522816\"]\n  23 -> 35 [size =\"15522816\"]\n  24 [size=\"124257280\", alpha=\"0.11\", expect_size=\"49702912\"] \n  24 -> 33 [size =\"49702912\"]\n  24 -> 35 [size =\"49702912\"]\n  24 -> 36 [size =\"49702912\"]\n  24 -> 37 [size =\"49702912\"]\n  25 [size=\"112550400\", alpha=\"0.18\", expect_size=\"45020160\"] \n  25 -> 34 [size =\"45020160\"]\n  25 -> 35 [size =\"45020160\"]\n  25 -> 38 [size =\"45020160\"]\n  26 [size=\"92643840\", alpha=\"0.11\", expect_size=\"37057536\"] \n  26 -> 33 [size =\"37057536\"]\n  26 -> 35 [size =\"37057536\"]\n  26 -> 37 [size =\"37057536\"]\n  26 -> 38 [size =\"37057536\"]\n  27 [size=\"46264320\", alpha=\"0.07\", expect_size=\"18505728\"] \n  27 -> 33 [size =\"18505728\"]\n  27 -> 35 [size =\"18505728\"]\n  27 -> 37 [size =\"18505728\"]\n  27 -> 38 [size =\"18505728\"]\n  28 [size=\"48729600\", alpha=\"0.17\", expect_size=\"19491840\"] \n  28 -> 33 [size =\"19491840\"]\n  28 -> 38 [size =\"19491840\"]\n  29 [size=\"108920320\", alpha=\"0.17\", expect_size=\"43568128\"] \n  29 -> 33 [size =\"43568128\"]\n  29 -> 35 [size =\"43568128\"]\n  29 -> 36 [size =\"43568128\"]\n  30 [size=\"15024640\", alpha=\"0.05\", expect_size=\"6009856\"] \n  30 -> 33 [size =\"6009856\"]\n  30 -> 35 [size =\"6009856\"]\n  30 -> 37 [size =\"6009856\"]\n  31 [size=\"47805440\", alpha=\"0.19\", expect_size=\"19122176\"] \n  31 -> 33 [size =\"19122176\"]\n  31 -> 35 [size =\"19122176\"]\n  31 -> 37 [size =\"19122176\"]\n  31 -> 38 [size =\"19122176\"]\n  32 [size=\"48227840\", alpha=\"0.05\", expect_size=\"19291136\"] \n  32 -> 33 [size =\"19291136\"]\n  32 -> 35 [size =\"19291136\"]\n  33 [size=\"111971840\", alpha=\"0.17\", expect_size=\"44788736\"] \n  33 -> 39 [size =\"44788736\"]\n  33 -> 41 [size =\"44788736\"]\n  33 -> 42 [size =\"44788736\"]\n  34 [size=\"70566400\", alpha=\"0.01\", expect_size=\"28226560\"] \n  34 -> 39 [size =\"28226560\"]\n  34 -> 41 [size =\"28226560\"]\n  35 [size=\"16412160\", alpha=\"0.10\", expect_size=\"6564864\"] \n  35 -> 39 [size =\"6564864\"]\n  35 -> 40 [size =\"6564864\"]\n  35 -> 41 [size =\"6564864\"]\n  36 [size=\"124098560\", alpha=\"0.12\", expect_size=\"49639424\"] \n  36 -> 39 [size =\"49639424\"]\n  36 -> 40 [size =\"49639424\"]\n  36 -> 41 [size =\"49639424\"]\n  37 [size=\"68418560\", alpha=\"0.08\", expect_size=\"27367424\"] \n  37 -> 39 [size =\"27367424\"]\n  37 -> 40 [size =\"27367424\"]\n  37 -> 41 [size =\"27367424\"]\n  38 [size=\"107371520\", alpha=\"0.10\", expect_size=\"42948608\"] \n  38 -> 39 [size =\"42948608\"]\n  38 -> 41 [size =\"42948608\"]\n  39 [size=\"91847680\", alpha=\"0.12\", expect_size=\"36739072\"] \n  39 -> 43 [size =\"36739072\"]\n  39 -> 45 [size =\"36739072\"]\n  39 -> 46 [size =\"36739072\"]\n  39 -> 47 [size =\"36739072\"]\n  39 -> 48 [size =\"36739072\"]\n  39 -> 49 [size =\"36739072\"]\n  39 -> 50 [size =\"36739072\"]\n  40 [size=\"73799680\", alpha=\"0.05\", expect_size=\"29519872\"] \n  40 -> 43 [size =\"29519872\"]\n  40 -> 44 [size =\"29519872\"]\n  40 -> 45 [size =\"29519872\"]\n  40 -> 46 [size =\"29519872\"]\n  40 -> 47 [size =\"29519872\"]\n  40 -> 48 [size =\"29519872\"]\n  41 [size=\"103137280\", alpha=\"0.04\", expect_size=\"41254912\"] \n  41 -> 43 [size =\"41254912\"]\n  41 -> 45 [size =\"41254912\"]\n  41 -> 46 [size =\"41254912\"]\n  41 -> 47 [size =\"41254912\"]\n  41 -> 49 [size =\"41254912\"]\n  41 -> 50 [size =\"41254912\"]\n  42 [size=\"99911680\", alpha=\"0.04\", expect_size=\"39964672\"] \n  42 -> 43 [size =\"39964672\"]\n  42 -> 44 [size =\"39964672\"]\n  42 -> 46 [size =\"39964672\"]\n  42 -> 47 [size =\"39964672\"]\n  42 -> 50 [size =\"39964672\"]\n  43 [size=\"131059200\", alpha=\"0.08\", expect_size=\"52423680\"] \n  44 [size=\"116172800\", alpha=\"0.11\", expect_size=\"46469120\"] \n  45 [size=\"121546240\", alpha=\"0.11\", expect_size=\"48618496\"] \n  46 [size=\"63042560\", alpha=\"0.04\", expect_size=\"25217024\"] \n  47 [size=\"14917120\", alpha=\"0.03\", expect_size=\"5966848\"] \n  48 [size=\"62748160\", alpha=\"0.08\", expect_size=\"25099264\"] \n  49 [size=\"124113920\", alpha=\"0.09\", expect_size=\"49645568\"] \n  50 [size=\"76247040\", alpha=\"0.11\", expect_size=\"30498816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.890.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50854400\", alpha=\"0.20\", expect_size=\"20341760\"] \n  1 -> 15 [size =\"20341760\"]\n  1 -> 16 [size =\"20341760\"]\n  1 -> 18 [size =\"20341760\"]\n  1 -> 25 [size =\"20341760\"]\n  2 [size=\"87843840\", alpha=\"0.06\", expect_size=\"35137536\"] \n  2 -> 15 [size =\"35137536\"]\n  2 -> 16 [size =\"35137536\"]\n  2 -> 21 [size =\"35137536\"]\n  2 -> 23 [size =\"35137536\"]\n  2 -> 27 [size =\"35137536\"]\n  3 [size=\"18278400\", alpha=\"0.04\", expect_size=\"7311360\"] \n  3 -> 15 [size =\"7311360\"]\n  3 -> 17 [size =\"7311360\"]\n  3 -> 18 [size =\"7311360\"]\n  3 -> 21 [size =\"7311360\"]\n  4 [size=\"46213120\", alpha=\"0.05\", expect_size=\"18485248\"] \n  4 -> 15 [size =\"18485248\"]\n  4 -> 16 [size =\"18485248\"]\n  4 -> 20 [size =\"18485248\"]\n  4 -> 26 [size =\"18485248\"]\n  4 -> 27 [size =\"18485248\"]\n  5 [size=\"52945920\", alpha=\"0.19\", expect_size=\"21178368\"] \n  5 -> 15 [size =\"21178368\"]\n  5 -> 26 [size =\"21178368\"]\n  6 [size=\"120309760\", alpha=\"0.15\", expect_size=\"48123904\"] \n  6 -> 21 [size =\"48123904\"]\n  6 -> 22 [size =\"48123904\"]\n  6 -> 23 [size =\"48123904\"]\n  6 -> 25 [size =\"48123904\"]\n  7 [size=\"69672960\", alpha=\"0.18\", expect_size=\"27869184\"] \n  7 -> 15 [size =\"27869184\"]\n  7 -> 16 [size =\"27869184\"]\n  7 -> 18 [size =\"27869184\"]\n  7 -> 21 [size =\"27869184\"]\n  7 -> 26 [size =\"27869184\"]\n  8 [size=\"49218560\", alpha=\"0.14\", expect_size=\"19687424\"] \n  8 -> 19 [size =\"19687424\"]\n  8 -> 25 [size =\"19687424\"]\n  9 [size=\"127306240\", alpha=\"0.17\", expect_size=\"50922496\"] \n  9 -> 16 [size =\"50922496\"]\n  9 -> 19 [size =\"50922496\"]\n  9 -> 21 [size =\"50922496\"]\n  9 -> 24 [size =\"50922496\"]\n  9 -> 26 [size =\"50922496\"]\n  10 [size=\"59617280\", alpha=\"0.15\", expect_size=\"23846912\"] \n  10 -> 16 [size =\"23846912\"]\n  10 -> 19 [size =\"23846912\"]\n  10 -> 25 [size =\"23846912\"]\n  11 [size=\"110958080\", alpha=\"0.13\", expect_size=\"44383232\"] \n  11 -> 16 [size =\"44383232\"]\n  11 -> 17 [size =\"44383232\"]\n  11 -> 25 [size =\"44383232\"]\n  11 -> 26 [size =\"44383232\"]\n  12 [size=\"109199360\", alpha=\"0.05\", expect_size=\"43679744\"] \n  12 -> 15 [size =\"43679744\"]\n  12 -> 18 [size =\"43679744\"]\n  12 -> 21 [size =\"43679744\"]\n  12 -> 23 [size =\"43679744\"]\n  12 -> 26 [size =\"43679744\"]\n  12 -> 27 [size =\"43679744\"]\n  13 [size=\"25786880\", alpha=\"0.06\", expect_size=\"10314752\"] \n  13 -> 21 [size =\"10314752\"]\n  13 -> 25 [size =\"10314752\"]\n  14 [size=\"51084800\", alpha=\"0.06\", expect_size=\"20433920\"] \n  14 -> 15 [size =\"20433920\"]\n  14 -> 18 [size =\"20433920\"]\n  14 -> 19 [size =\"20433920\"]\n  14 -> 25 [size =\"20433920\"]\n  15 [size=\"79257600\", alpha=\"0.20\", expect_size=\"31703040\"] \n  15 -> 28 [size =\"31703040\"]\n  15 -> 30 [size =\"31703040\"]\n  15 -> 34 [size =\"31703040\"]\n  15 -> 37 [size =\"31703040\"]\n  15 -> 39 [size =\"31703040\"]\n  15 -> 42 [size =\"31703040\"]\n  16 [size=\"74329600\", alpha=\"0.10\", expect_size=\"29731840\"] \n  16 -> 28 [size =\"29731840\"]\n  16 -> 33 [size =\"29731840\"]\n  16 -> 37 [size =\"29731840\"]\n  16 -> 39 [size =\"29731840\"]\n  16 -> 41 [size =\"29731840\"]\n  16 -> 42 [size =\"29731840\"]\n  17 [size=\"43891200\", alpha=\"0.19\", expect_size=\"17556480\"] \n  17 -> 34 [size =\"17556480\"]\n  17 -> 35 [size =\"17556480\"]\n  17 -> 37 [size =\"17556480\"]\n  17 -> 42 [size =\"17556480\"]\n  18 [size=\"34626560\", alpha=\"0.04\", expect_size=\"13850624\"] \n  18 -> 29 [size =\"13850624\"]\n  18 -> 32 [size =\"13850624\"]\n  18 -> 35 [size =\"13850624\"]\n  18 -> 37 [size =\"13850624\"]\n  18 -> 39 [size =\"13850624\"]\n  18 -> 42 [size =\"13850624\"]\n  19 [size=\"115911680\", alpha=\"0.19\", expect_size=\"46364672\"] \n  19 -> 29 [size =\"46364672\"]\n  19 -> 42 [size =\"46364672\"]\n  20 [size=\"95357440\", alpha=\"0.16\", expect_size=\"38142976\"] \n  20 -> 34 [size =\"38142976\"]\n  20 -> 42 [size =\"38142976\"]\n  21 [size=\"65405440\", alpha=\"0.20\", expect_size=\"26162176\"] \n  21 -> 29 [size =\"26162176\"]\n  21 -> 38 [size =\"26162176\"]\n  22 [size=\"22026240\", alpha=\"0.16\", expect_size=\"8810496\"] \n  22 -> 29 [size =\"8810496\"]\n  22 -> 36 [size =\"8810496\"]\n  22 -> 37 [size =\"8810496\"]\n  22 -> 38 [size =\"8810496\"]\n  22 -> 42 [size =\"8810496\"]\n  23 [size=\"51824640\", alpha=\"0.13\", expect_size=\"20729856\"] \n  23 -> 28 [size =\"20729856\"]\n  23 -> 33 [size =\"20729856\"]\n  23 -> 35 [size =\"20729856\"]\n  23 -> 36 [size =\"20729856\"]\n  23 -> 41 [size =\"20729856\"]\n  23 -> 42 [size =\"20729856\"]\n  24 [size=\"88616960\", alpha=\"0.15\", expect_size=\"35446784\"] \n  24 -> 28 [size =\"35446784\"]\n  24 -> 29 [size =\"35446784\"]\n  24 -> 35 [size =\"35446784\"]\n  24 -> 37 [size =\"35446784\"]\n  25 [size=\"121515520\", alpha=\"0.05\", expect_size=\"48606208\"] \n  25 -> 33 [size =\"48606208\"]\n  25 -> 38 [size =\"48606208\"]\n  25 -> 41 [size =\"48606208\"]\n  26 [size=\"119424000\", alpha=\"0.12\", expect_size=\"47769600\"] \n  26 -> 28 [size =\"47769600\"]\n  26 -> 29 [size =\"47769600\"]\n  26 -> 32 [size =\"47769600\"]\n  26 -> 33 [size =\"47769600\"]\n  26 -> 34 [size =\"47769600\"]\n  26 -> 35 [size =\"47769600\"]\n  26 -> 37 [size =\"47769600\"]\n  26 -> 40 [size =\"47769600\"]\n  27 [size=\"60387840\", alpha=\"0.09\", expect_size=\"24155136\"] \n  27 -> 30 [size =\"24155136\"]\n  27 -> 31 [size =\"24155136\"]\n  27 -> 39 [size =\"24155136\"]\n  27 -> 40 [size =\"24155136\"]\n  27 -> 43 [size =\"24155136\"]\n  28 [size=\"54712320\", alpha=\"0.13\", expect_size=\"21884928\"] \n  28 -> 47 [size =\"21884928\"]\n  28 -> 47 [size =\"21884928\"]\n  29 [size=\"75842560\", alpha=\"0.15\", expect_size=\"30337024\"] \n  29 -> 45 [size =\"30337024\"]\n  29 -> 46 [size =\"30337024\"]\n  30 [size=\"71459840\", alpha=\"0.06\", expect_size=\"28583936\"] \n  30 -> 45 [size =\"28583936\"]\n  31 [size=\"49658880\", alpha=\"0.13\", expect_size=\"19863552\"] \n  31 -> 45 [size =\"19863552\"]\n  31 -> 46 [size =\"19863552\"]\n  31 -> 50 [size =\"19863552\"]\n  32 [size=\"48184320\", alpha=\"0.16\", expect_size=\"19273728\"] \n  32 -> 45 [size =\"19273728\"]\n  32 -> 47 [size =\"19273728\"]\n  33 [size=\"23813120\", alpha=\"0.02\", expect_size=\"9525248\"] \n  33 -> 44 [size =\"9525248\"]\n  33 -> 45 [size =\"9525248\"]\n  33 -> 46 [size =\"9525248\"]\n  33 -> 48 [size =\"9525248\"]\n  34 [size=\"99678720\", alpha=\"0.14\", expect_size=\"39871488\"] \n  34 -> 45 [size =\"39871488\"]\n  34 -> 47 [size =\"39871488\"]\n  34 -> 49 [size =\"39871488\"]\n  35 [size=\"72962560\", alpha=\"0.17\", expect_size=\"29185024\"] \n  35 -> 47 [size =\"29185024\"]\n  36 [size=\"101463040\", alpha=\"0.11\", expect_size=\"40585216\"] \n  36 -> 45 [size =\"40585216\"]\n  36 -> 47 [size =\"40585216\"]\n  36 -> 49 [size =\"40585216\"]\n  37 [size=\"56460800\", alpha=\"0.09\", expect_size=\"22584320\"] \n  37 -> 44 [size =\"22584320\"]\n  37 -> 45 [size =\"22584320\"]\n  37 -> 46 [size =\"22584320\"]\n  37 -> 49 [size =\"22584320\"]\n  38 [size=\"112478720\", alpha=\"0.12\", expect_size=\"44991488\"] \n  38 -> 50 [size =\"44991488\"]\n  39 [size=\"69706240\", alpha=\"0.12\", expect_size=\"27882496\"] \n  40 [size=\"42339840\", alpha=\"0.05\", expect_size=\"16935936\"] \n  40 -> 45 [size =\"16935936\"]\n  40 -> 50 [size =\"16935936\"]\n  41 [size=\"76894720\", alpha=\"0.08\", expect_size=\"30757888\"] \n  41 -> 46 [size =\"30757888\"]\n  41 -> 49 [size =\"30757888\"]\n  42 [size=\"35287040\", alpha=\"0.12\", expect_size=\"14114816\"] \n  42 -> 46 [size =\"14114816\"]\n  43 [size=\"13614080\", alpha=\"0.03\", expect_size=\"5445632\"] \n  43 -> 44 [size =\"5445632\"]\n  43 -> 47 [size =\"5445632\"]\n  43 -> 48 [size =\"5445632\"]\n  43 -> 50 [size =\"5445632\"]\n  44 [size=\"24552960\", alpha=\"0.07\", expect_size=\"9821184\"] \n  45 [size=\"106086400\", alpha=\"0.09\", expect_size=\"42434560\"] \n  46 [size=\"88432640\", alpha=\"0.09\", expect_size=\"35373056\"] \n  47 [size=\"32814080\", alpha=\"0.16\", expect_size=\"13125632\"] \n  48 [size=\"87982080\", alpha=\"0.12\", expect_size=\"35192832\"] \n  49 [size=\"39528960\", alpha=\"0.17\", expect_size=\"15811584\"] \n  50 [size=\"108224000\", alpha=\"0.13\", expect_size=\"43289600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.891.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"22152533\", alpha=\"0.04\", expect_size=\"6645760\"] \n  1 -> 35 [size =\"6645760\"]\n  1 -> 39 [size =\"6645760\"]\n  1 -> 40 [size =\"6645760\"]\n  1 -> 41 [size =\"6645760\"]\n  1 -> 45 [size =\"6645760\"]\n  1 -> 48 [size =\"6645760\"]\n  1 -> 49 [size =\"6645760\"]\n  1 -> 50 [size =\"6645760\"]\n  2 [size=\"69812907\", alpha=\"0.05\", expect_size=\"20943872\"] \n  2 -> 31 [size =\"20943872\"]\n  2 -> 36 [size =\"20943872\"]\n  2 -> 38 [size =\"20943872\"]\n  2 -> 39 [size =\"20943872\"]\n  2 -> 41 [size =\"20943872\"]\n  2 -> 45 [size =\"20943872\"]\n  2 -> 48 [size =\"20943872\"]\n  2 -> 49 [size =\"20943872\"]\n  3 [size=\"54804480\", alpha=\"0.11\", expect_size=\"16441344\"] \n  3 -> 32 [size =\"16441344\"]\n  3 -> 38 [size =\"16441344\"]\n  3 -> 39 [size =\"16441344\"]\n  3 -> 40 [size =\"16441344\"]\n  3 -> 41 [size =\"16441344\"]\n  3 -> 43 [size =\"16441344\"]\n  3 -> 45 [size =\"16441344\"]\n  3 -> 48 [size =\"16441344\"]\n  4 [size=\"157518507\", alpha=\"0.18\", expect_size=\"47255552\"] \n  4 -> 34 [size =\"47255552\"]\n  4 -> 38 [size =\"47255552\"]\n  4 -> 41 [size =\"47255552\"]\n  4 -> 45 [size =\"47255552\"]\n  4 -> 47 [size =\"47255552\"]\n  4 -> 48 [size =\"47255552\"]\n  4 -> 49 [size =\"47255552\"]\n  4 -> 50 [size =\"47255552\"]\n  5 [size=\"168321707\", alpha=\"0.04\", expect_size=\"50496512\"] \n  5 -> 35 [size =\"50496512\"]\n  5 -> 43 [size =\"50496512\"]\n  5 -> 45 [size =\"50496512\"]\n  5 -> 45 [size =\"50496512\"]\n  5 -> 48 [size =\"50496512\"]\n  5 -> 50 [size =\"50496512\"]\n  6 [size=\"134287360\", alpha=\"0.15\", expect_size=\"40286208\"] \n  6 -> 33 [size =\"40286208\"]\n  6 -> 37 [size =\"40286208\"]\n  6 -> 38 [size =\"40286208\"]\n  6 -> 40 [size =\"40286208\"]\n  6 -> 43 [size =\"40286208\"]\n  6 -> 44 [size =\"40286208\"]\n  6 -> 48 [size =\"40286208\"]\n  7 [size=\"44994560\", alpha=\"0.18\", expect_size=\"13498368\"] \n  7 -> 33 [size =\"13498368\"]\n  7 -> 34 [size =\"13498368\"]\n  7 -> 36 [size =\"13498368\"]\n  7 -> 38 [size =\"13498368\"]\n  7 -> 40 [size =\"13498368\"]\n  7 -> 41 [size =\"13498368\"]\n  7 -> 50 [size =\"13498368\"]\n  8 [size=\"129191253\", alpha=\"0.16\", expect_size=\"38757376\"] \n  8 -> 35 [size =\"38757376\"]\n  8 -> 36 [size =\"38757376\"]\n  8 -> 37 [size =\"38757376\"]\n  8 -> 38 [size =\"38757376\"]\n  8 -> 40 [size =\"38757376\"]\n  8 -> 41 [size =\"38757376\"]\n  8 -> 44 [size =\"38757376\"]\n  8 -> 46 [size =\"38757376\"]\n  8 -> 48 [size =\"38757376\"]\n  8 -> 49 [size =\"38757376\"]\n  8 -> 50 [size =\"38757376\"]\n  9 [size=\"122170027\", alpha=\"0.03\", expect_size=\"36651008\"] \n  9 -> 33 [size =\"36651008\"]\n  9 -> 35 [size =\"36651008\"]\n  9 -> 38 [size =\"36651008\"]\n  9 -> 39 [size =\"36651008\"]\n  9 -> 41 [size =\"36651008\"]\n  9 -> 45 [size =\"36651008\"]\n  9 -> 46 [size =\"36651008\"]\n  9 -> 48 [size =\"36651008\"]\n  9 -> 48 [size =\"36651008\"]\n  9 -> 49 [size =\"36651008\"]\n  9 -> 50 [size =\"36651008\"]\n  10 [size=\"85753173\", alpha=\"0.06\", expect_size=\"25725952\"] \n  10 -> 32 [size =\"25725952\"]\n  10 -> 33 [size =\"25725952\"]\n  10 -> 34 [size =\"25725952\"]\n  10 -> 38 [size =\"25725952\"]\n  10 -> 39 [size =\"25725952\"]\n  10 -> 40 [size =\"25725952\"]\n  10 -> 41 [size =\"25725952\"]\n  10 -> 42 [size =\"25725952\"]\n  10 -> 43 [size =\"25725952\"]\n  10 -> 45 [size =\"25725952\"]\n  10 -> 49 [size =\"25725952\"]\n  10 -> 50 [size =\"25725952\"]\n  11 [size=\"148558507\", alpha=\"0.18\", expect_size=\"44567552\"] \n  11 -> 33 [size =\"44567552\"]\n  11 -> 33 [size =\"44567552\"]\n  11 -> 35 [size =\"44567552\"]\n  11 -> 36 [size =\"44567552\"]\n  11 -> 38 [size =\"44567552\"]\n  11 -> 40 [size =\"44567552\"]\n  11 -> 41 [size =\"44567552\"]\n  11 -> 43 [size =\"44567552\"]\n  11 -> 44 [size =\"44567552\"]\n  11 -> 45 [size =\"44567552\"]\n  11 -> 49 [size =\"44567552\"]\n  12 [size=\"21698560\", alpha=\"0.02\", expect_size=\"6509568\"] \n  12 -> 32 [size =\"6509568\"]\n  12 -> 33 [size =\"6509568\"]\n  12 -> 34 [size =\"6509568\"]\n  12 -> 35 [size =\"6509568\"]\n  12 -> 36 [size =\"6509568\"]\n  12 -> 38 [size =\"6509568\"]\n  12 -> 39 [size =\"6509568\"]\n  12 -> 40 [size =\"6509568\"]\n  12 -> 41 [size =\"6509568\"]\n  12 -> 45 [size =\"6509568\"]\n  12 -> 48 [size =\"6509568\"]\n  12 -> 49 [size =\"6509568\"]\n  13 [size=\"57876480\", alpha=\"0.12\", expect_size=\"17362944\"] \n  13 -> 34 [size =\"17362944\"]\n  13 -> 35 [size =\"17362944\"]\n  13 -> 36 [size =\"17362944\"]\n  13 -> 38 [size =\"17362944\"]\n  13 -> 39 [size =\"17362944\"]\n  13 -> 40 [size =\"17362944\"]\n  13 -> 41 [size =\"17362944\"]\n  13 -> 43 [size =\"17362944\"]\n  13 -> 49 [size =\"17362944\"]\n  14 [size=\"147582293\", alpha=\"0.02\", expect_size=\"44274688\"] \n  14 -> 34 [size =\"44274688\"]\n  14 -> 35 [size =\"44274688\"]\n  14 -> 38 [size =\"44274688\"]\n  14 -> 39 [size =\"44274688\"]\n  14 -> 40 [size =\"44274688\"]\n  14 -> 42 [size =\"44274688\"]\n  14 -> 43 [size =\"44274688\"]\n  14 -> 44 [size =\"44274688\"]\n  14 -> 45 [size =\"44274688\"]\n  14 -> 48 [size =\"44274688\"]\n  14 -> 49 [size =\"44274688\"]\n  14 -> 50 [size =\"44274688\"]\n  15 [size=\"130771627\", alpha=\"0.15\", expect_size=\"39231488\"] \n  15 -> 33 [size =\"39231488\"]\n  15 -> 35 [size =\"39231488\"]\n  15 -> 39 [size =\"39231488\"]\n  15 -> 40 [size =\"39231488\"]\n  15 -> 45 [size =\"39231488\"]\n  15 -> 48 [size =\"39231488\"]\n  16 [size=\"164037973\", alpha=\"0.12\", expect_size=\"49211392\"] \n  16 -> 33 [size =\"49211392\"]\n  16 -> 35 [size =\"49211392\"]\n  16 -> 38 [size =\"49211392\"]\n  16 -> 39 [size =\"49211392\"]\n  16 -> 43 [size =\"49211392\"]\n  16 -> 48 [size =\"49211392\"]\n  17 [size=\"123917653\", alpha=\"0.20\", expect_size=\"37175296\"] \n  17 -> 33 [size =\"37175296\"]\n  17 -> 35 [size =\"37175296\"]\n  17 -> 38 [size =\"37175296\"]\n  17 -> 39 [size =\"37175296\"]\n  17 -> 40 [size =\"37175296\"]\n  17 -> 43 [size =\"37175296\"]\n  17 -> 45 [size =\"37175296\"]\n  17 -> 48 [size =\"37175296\"]\n  18 [size=\"108165120\", alpha=\"0.08\", expect_size=\"32449536\"] \n  18 -> 35 [size =\"32449536\"]\n  18 -> 35 [size =\"32449536\"]\n  18 -> 36 [size =\"32449536\"]\n  18 -> 37 [size =\"32449536\"]\n  18 -> 38 [size =\"32449536\"]\n  18 -> 39 [size =\"32449536\"]\n  18 -> 43 [size =\"32449536\"]\n  18 -> 46 [size =\"32449536\"]\n  18 -> 48 [size =\"32449536\"]\n  19 [size=\"73888427\", alpha=\"0.20\", expect_size=\"22166528\"] \n  19 -> 33 [size =\"22166528\"]\n  19 -> 35 [size =\"22166528\"]\n  19 -> 37 [size =\"22166528\"]\n  19 -> 38 [size =\"22166528\"]\n  19 -> 39 [size =\"22166528\"]\n  19 -> 39 [size =\"22166528\"]\n  19 -> 40 [size =\"22166528\"]\n  19 -> 43 [size =\"22166528\"]\n  19 -> 45 [size =\"22166528\"]\n  19 -> 48 [size =\"22166528\"]\n  19 -> 50 [size =\"22166528\"]\n  20 [size=\"101181440\", alpha=\"0.11\", expect_size=\"30354432\"] \n  20 -> 34 [size =\"30354432\"]\n  20 -> 35 [size =\"30354432\"]\n  20 -> 37 [size =\"30354432\"]\n  20 -> 38 [size =\"30354432\"]\n  20 -> 39 [size =\"30354432\"]\n  20 -> 40 [size =\"30354432\"]\n  20 -> 40 [size =\"30354432\"]\n  20 -> 42 [size =\"30354432\"]\n  20 -> 48 [size =\"30354432\"]\n  20 -> 48 [size =\"30354432\"]\n  21 [size=\"151517867\", alpha=\"0.03\", expect_size=\"45455360\"] \n  21 -> 33 [size =\"45455360\"]\n  21 -> 37 [size =\"45455360\"]\n  21 -> 38 [size =\"45455360\"]\n  21 -> 39 [size =\"45455360\"]\n  21 -> 40 [size =\"45455360\"]\n  21 -> 41 [size =\"45455360\"]\n  21 -> 45 [size =\"45455360\"]\n  21 -> 49 [size =\"45455360\"]\n  21 -> 50 [size =\"45455360\"]\n  22 [size=\"135727787\", alpha=\"0.02\", expect_size=\"40718336\"] \n  22 -> 32 [size =\"40718336\"]\n  22 -> 33 [size =\"40718336\"]\n  22 -> 34 [size =\"40718336\"]\n  22 -> 36 [size =\"40718336\"]\n  22 -> 38 [size =\"40718336\"]\n  22 -> 39 [size =\"40718336\"]\n  22 -> 40 [size =\"40718336\"]\n  22 -> 42 [size =\"40718336\"]\n  22 -> 45 [size =\"40718336\"]\n  22 -> 49 [size =\"40718336\"]\n  23 [size=\"153292800\", alpha=\"0.06\", expect_size=\"45987840\"] \n  23 -> 33 [size =\"45987840\"]\n  23 -> 34 [size =\"45987840\"]\n  23 -> 35 [size =\"45987840\"]\n  23 -> 36 [size =\"45987840\"]\n  23 -> 38 [size =\"45987840\"]\n  23 -> 39 [size =\"45987840\"]\n  23 -> 40 [size =\"45987840\"]\n  23 -> 44 [size =\"45987840\"]\n  24 [size=\"87193600\", alpha=\"0.07\", expect_size=\"26158080\"] \n  24 -> 33 [size =\"26158080\"]\n  24 -> 34 [size =\"26158080\"]\n  24 -> 35 [size =\"26158080\"]\n  24 -> 36 [size =\"26158080\"]\n  24 -> 37 [size =\"26158080\"]\n  24 -> 38 [size =\"26158080\"]\n  24 -> 39 [size =\"26158080\"]\n  24 -> 40 [size =\"26158080\"]\n  24 -> 45 [size =\"26158080\"]\n  24 -> 48 [size =\"26158080\"]\n  25 [size=\"103505920\", alpha=\"0.08\", expect_size=\"31051776\"] \n  25 -> 34 [size =\"31051776\"]\n  25 -> 38 [size =\"31051776\"]\n  25 -> 40 [size =\"31051776\"]\n  25 -> 42 [size =\"31051776\"]\n  25 -> 45 [size =\"31051776\"]\n  25 -> 49 [size =\"31051776\"]\n  26 [size=\"67331413\", alpha=\"0.03\", expect_size=\"20199424\"] \n  26 -> 32 [size =\"20199424\"]\n  26 -> 33 [size =\"20199424\"]\n  26 -> 34 [size =\"20199424\"]\n  26 -> 38 [size =\"20199424\"]\n  26 -> 39 [size =\"20199424\"]\n  26 -> 40 [size =\"20199424\"]\n  26 -> 45 [size =\"20199424\"]\n  26 -> 48 [size =\"20199424\"]\n  26 -> 49 [size =\"20199424\"]\n  26 -> 50 [size =\"20199424\"]\n  27 [size=\"165570560\", alpha=\"0.02\", expect_size=\"49671168\"] \n  27 -> 36 [size =\"49671168\"]\n  27 -> 37 [size =\"49671168\"]\n  27 -> 38 [size =\"49671168\"]\n  27 -> 39 [size =\"49671168\"]\n  27 -> 40 [size =\"49671168\"]\n  27 -> 40 [size =\"49671168\"]\n  27 -> 45 [size =\"49671168\"]\n  27 -> 48 [size =\"49671168\"]\n  27 -> 49 [size =\"49671168\"]\n  28 [size=\"163502080\", alpha=\"0.15\", expect_size=\"49050624\"] \n  28 -> 33 [size =\"49050624\"]\n  28 -> 34 [size =\"49050624\"]\n  28 -> 35 [size =\"49050624\"]\n  28 -> 36 [size =\"49050624\"]\n  28 -> 38 [size =\"49050624\"]\n  28 -> 40 [size =\"49050624\"]\n  28 -> 44 [size =\"49050624\"]\n  28 -> 45 [size =\"49050624\"]\n  28 -> 48 [size =\"49050624\"]\n  28 -> 49 [size =\"49050624\"]\n  29 [size=\"66259627\", alpha=\"0.01\", expect_size=\"19877888\"] \n  29 -> 32 [size =\"19877888\"]\n  29 -> 35 [size =\"19877888\"]\n  29 -> 37 [size =\"19877888\"]\n  29 -> 38 [size =\"19877888\"]\n  29 -> 39 [size =\"19877888\"]\n  29 -> 40 [size =\"19877888\"]\n  29 -> 41 [size =\"19877888\"]\n  29 -> 42 [size =\"19877888\"]\n  29 -> 43 [size =\"19877888\"]\n  29 -> 46 [size =\"19877888\"]\n  29 -> 49 [size =\"19877888\"]\n  29 -> 50 [size =\"19877888\"]\n  30 [size=\"62941867\", alpha=\"0.17\", expect_size=\"18882560\"] \n  30 -> 32 [size =\"18882560\"]\n  30 -> 35 [size =\"18882560\"]\n  30 -> 38 [size =\"18882560\"]\n  30 -> 39 [size =\"18882560\"]\n  30 -> 43 [size =\"18882560\"]\n  30 -> 48 [size =\"18882560\"]\n  30 -> 49 [size =\"18882560\"]\n  31 [size=\"150579200\", alpha=\"0.08\", expect_size=\"45173760\"] \n  32 [size=\"19275093\", alpha=\"0.01\", expect_size=\"5782528\"] \n  33 [size=\"35942400\", alpha=\"0.18\", expect_size=\"10782720\"] \n  34 [size=\"80622933\", alpha=\"0.12\", expect_size=\"24186880\"] \n  35 [size=\"136075947\", alpha=\"0.00\", expect_size=\"40822784\"] \n  36 [size=\"38574080\", alpha=\"0.07\", expect_size=\"11572224\"] \n  37 [size=\"62218240\", alpha=\"0.08\", expect_size=\"18665472\"] \n  38 [size=\"77240320\", alpha=\"0.00\", expect_size=\"23172096\"] \n  39 [size=\"38068907\", alpha=\"0.19\", expect_size=\"11420672\"] \n  40 [size=\"49404587\", alpha=\"0.09\", expect_size=\"14821376\"] \n  41 [size=\"22234453\", alpha=\"0.16\", expect_size=\"6670336\"] \n  42 [size=\"87650987\", alpha=\"0.18\", expect_size=\"26295296\"] \n  43 [size=\"92586667\", alpha=\"0.18\", expect_size=\"27776000\"] \n  44 [size=\"77445120\", alpha=\"0.06\", expect_size=\"23233536\"] \n  45 [size=\"172332373\", alpha=\"0.05\", expect_size=\"51699712\"] \n  46 [size=\"18688000\", alpha=\"0.10\", expect_size=\"5606400\"] \n  47 [size=\"77649920\", alpha=\"0.14\", expect_size=\"23294976\"] \n  48 [size=\"141079893\", alpha=\"0.17\", expect_size=\"42323968\"] \n  49 [size=\"142387200\", alpha=\"0.06\", expect_size=\"42716160\"] \n  50 [size=\"137984000\", alpha=\"0.01\", expect_size=\"41395200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.892.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70361088\", alpha=\"0.01\", expect_size=\"35180544\"] \n  2 [size=\"83499008\", alpha=\"0.16\", expect_size=\"41749504\"] \n  2 -> 49 [size =\"41749504\"]\n  3 [size=\"90454016\", alpha=\"0.12\", expect_size=\"45227008\"] \n  3 -> 49 [size =\"45227008\"]\n  4 [size=\"77768704\", alpha=\"0.10\", expect_size=\"38884352\"] \n  4 -> 47 [size =\"38884352\"]\n  4 -> 48 [size =\"38884352\"]\n  5 [size=\"99264512\", alpha=\"0.11\", expect_size=\"49632256\"] \n  5 -> 50 [size =\"49632256\"]\n  6 [size=\"35899392\", alpha=\"0.11\", expect_size=\"17949696\"] \n  6 -> 50 [size =\"17949696\"]\n  7 [size=\"40427520\", alpha=\"0.16\", expect_size=\"20213760\"] \n  7 -> 50 [size =\"20213760\"]\n  8 [size=\"52905984\", alpha=\"0.15\", expect_size=\"26452992\"] \n  8 -> 46 [size =\"26452992\"]\n  8 -> 50 [size =\"26452992\"]\n  9 [size=\"65355776\", alpha=\"0.17\", expect_size=\"32677888\"] \n  9 -> 50 [size =\"32677888\"]\n  9 -> 50 [size =\"32677888\"]\n  10 [size=\"63066112\", alpha=\"0.14\", expect_size=\"31533056\"] \n  10 -> 46 [size =\"31533056\"]\n  10 -> 49 [size =\"31533056\"]\n  10 -> 50 [size =\"31533056\"]\n  11 [size=\"84244480\", alpha=\"0.09\", expect_size=\"42122240\"] \n  12 [size=\"89933824\", alpha=\"0.17\", expect_size=\"44966912\"] \n  12 -> 48 [size =\"44966912\"]\n  12 -> 50 [size =\"44966912\"]\n  13 [size=\"72816640\", alpha=\"0.00\", expect_size=\"36408320\"] \n  14 [size=\"33900544\", alpha=\"0.07\", expect_size=\"16950272\"] \n  14 -> 49 [size =\"16950272\"]\n  15 [size=\"80596992\", alpha=\"0.08\", expect_size=\"40298496\"] \n  15 -> 50 [size =\"40298496\"]\n  16 [size=\"40259584\", alpha=\"0.13\", expect_size=\"20129792\"] \n  17 [size=\"93696000\", alpha=\"0.13\", expect_size=\"46848000\"] \n  17 -> 46 [size =\"46848000\"]\n  17 -> 49 [size =\"46848000\"]\n  18 [size=\"75089920\", alpha=\"0.20\", expect_size=\"37544960\"] \n  18 -> 46 [size =\"37544960\"]\n  18 -> 50 [size =\"37544960\"]\n  19 [size=\"50343936\", alpha=\"0.09\", expect_size=\"25171968\"] \n  19 -> 46 [size =\"25171968\"]\n  19 -> 47 [size =\"25171968\"]\n  19 -> 50 [size =\"25171968\"]\n  20 [size=\"36691968\", alpha=\"0.16\", expect_size=\"18345984\"] \n  20 -> 46 [size =\"18345984\"]\n  21 [size=\"104470528\", alpha=\"0.14\", expect_size=\"52235264\"] \n  22 [size=\"51394560\", alpha=\"0.09\", expect_size=\"25697280\"] \n  22 -> 47 [size =\"25697280\"]\n  22 -> 49 [size =\"25697280\"]\n  23 [size=\"39239680\", alpha=\"0.00\", expect_size=\"19619840\"] \n  24 [size=\"40003584\", alpha=\"0.06\", expect_size=\"20001792\"] \n  24 -> 50 [size =\"20001792\"]\n  25 [size=\"71532544\", alpha=\"0.10\", expect_size=\"35766272\"] \n  25 -> 46 [size =\"35766272\"]\n  26 [size=\"16703488\", alpha=\"0.20\", expect_size=\"8351744\"] \n  26 -> 50 [size =\"8351744\"]\n  27 [size=\"78923776\", alpha=\"0.16\", expect_size=\"39461888\"] \n  28 [size=\"43935744\", alpha=\"0.01\", expect_size=\"21967872\"] \n  28 -> 48 [size =\"21967872\"]\n  29 [size=\"42278912\", alpha=\"0.18\", expect_size=\"21139456\"] \n  29 -> 50 [size =\"21139456\"]\n  30 [size=\"86577152\", alpha=\"0.05\", expect_size=\"43288576\"] \n  31 [size=\"65644544\", alpha=\"0.09\", expect_size=\"32822272\"] \n  31 -> 50 [size =\"32822272\"]\n  32 [size=\"39360512\", alpha=\"0.09\", expect_size=\"19680256\"] \n  32 -> 48 [size =\"19680256\"]\n  32 -> 49 [size =\"19680256\"]\n  33 [size=\"80738304\", alpha=\"0.03\", expect_size=\"40369152\"] \n  34 [size=\"81000448\", alpha=\"0.01\", expect_size=\"40500224\"] \n  34 -> 47 [size =\"40500224\"]\n  34 -> 49 [size =\"40500224\"]\n  35 [size=\"13064192\", alpha=\"0.15\", expect_size=\"6532096\"] \n  35 -> 50 [size =\"6532096\"]\n  36 [size=\"60080128\", alpha=\"0.14\", expect_size=\"30040064\"] \n  36 -> 47 [size =\"30040064\"]\n  37 [size=\"58716160\", alpha=\"0.12\", expect_size=\"29358080\"] \n  37 -> 45 [size =\"29358080\"]\n  37 -> 47 [size =\"29358080\"]\n  37 -> 50 [size =\"29358080\"]\n  38 [size=\"38918144\", alpha=\"0.03\", expect_size=\"19459072\"] \n  39 [size=\"43104256\", alpha=\"0.02\", expect_size=\"21552128\"] \n  39 -> 46 [size =\"21552128\"]\n  39 -> 49 [size =\"21552128\"]\n  40 [size=\"31774720\", alpha=\"0.07\", expect_size=\"15887360\"] \n  41 [size=\"57511936\", alpha=\"0.12\", expect_size=\"28755968\"] \n  41 -> 45 [size =\"28755968\"]\n  41 -> 50 [size =\"28755968\"]\n  42 [size=\"99702784\", alpha=\"0.06\", expect_size=\"49851392\"] \n  42 -> 50 [size =\"49851392\"]\n  43 [size=\"49055744\", alpha=\"0.05\", expect_size=\"24527872\"] \n  43 -> 46 [size =\"24527872\"]\n  43 -> 50 [size =\"24527872\"]\n  44 [size=\"62271488\", alpha=\"0.11\", expect_size=\"31135744\"] \n  44 -> 50 [size =\"31135744\"]\n  45 [size=\"68397056\", alpha=\"0.10\", expect_size=\"34198528\"] \n  46 [size=\"43169792\", alpha=\"0.10\", expect_size=\"21584896\"] \n  47 [size=\"16367616\", alpha=\"0.05\", expect_size=\"8183808\"] \n  48 [size=\"71200768\", alpha=\"0.07\", expect_size=\"35600384\"] \n  49 [size=\"83531776\", alpha=\"0.15\", expect_size=\"41765888\"] \n  50 [size=\"93220864\", alpha=\"0.20\", expect_size=\"46610432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.893.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"125952000\", alpha=\"0.12\", expect_size=\"50380800\"] \n  1 -> 12 [size =\"50380800\"]\n  1 -> 14 [size =\"50380800\"]\n  2 [size=\"76183040\", alpha=\"0.12\", expect_size=\"30473216\"] \n  2 -> 8 [size =\"30473216\"]\n  2 -> 14 [size =\"30473216\"]\n  3 [size=\"62840320\", alpha=\"0.19\", expect_size=\"25136128\"] \n  3 -> 8 [size =\"25136128\"]\n  3 -> 14 [size =\"25136128\"]\n  4 [size=\"106905600\", alpha=\"0.08\", expect_size=\"42762240\"] \n  4 -> 9 [size =\"42762240\"]\n  4 -> 13 [size =\"42762240\"]\n  4 -> 14 [size =\"42762240\"]\n  5 [size=\"126225920\", alpha=\"0.14\", expect_size=\"50490368\"] \n  5 -> 9 [size =\"50490368\"]\n  5 -> 10 [size =\"50490368\"]\n  5 -> 12 [size =\"50490368\"]\n  5 -> 14 [size =\"50490368\"]\n  6 [size=\"94300160\", alpha=\"0.04\", expect_size=\"37720064\"] \n  6 -> 8 [size =\"37720064\"]\n  6 -> 9 [size =\"37720064\"]\n  6 -> 10 [size =\"37720064\"]\n  6 -> 13 [size =\"37720064\"]\n  7 [size=\"71744000\", alpha=\"0.01\", expect_size=\"28697600\"] \n  7 -> 8 [size =\"28697600\"]\n  7 -> 9 [size =\"28697600\"]\n  7 -> 10 [size =\"28697600\"]\n  7 -> 11 [size =\"28697600\"]\n  8 [size=\"93381120\", alpha=\"0.12\", expect_size=\"37352448\"] \n  8 -> 15 [size =\"37352448\"]\n  8 -> 16 [size =\"37352448\"]\n  8 -> 18 [size =\"37352448\"]\n  8 -> 19 [size =\"37352448\"]\n  8 -> 21 [size =\"37352448\"]\n  8 -> 22 [size =\"37352448\"]\n  9 [size=\"40304640\", alpha=\"0.10\", expect_size=\"16121856\"] \n  9 -> 15 [size =\"16121856\"]\n  9 -> 18 [size =\"16121856\"]\n  9 -> 19 [size =\"16121856\"]\n  9 -> 21 [size =\"16121856\"]\n  10 [size=\"31787520\", alpha=\"0.13\", expect_size=\"12715008\"] \n  10 -> 19 [size =\"12715008\"]\n  10 -> 20 [size =\"12715008\"]\n  10 -> 22 [size =\"12715008\"]\n  11 [size=\"20948480\", alpha=\"0.19\", expect_size=\"8379392\"] \n  11 -> 16 [size =\"8379392\"]\n  11 -> 19 [size =\"8379392\"]\n  11 -> 20 [size =\"8379392\"]\n  11 -> 22 [size =\"8379392\"]\n  12 [size=\"92428800\", alpha=\"0.11\", expect_size=\"36971520\"] \n  12 -> 16 [size =\"36971520\"]\n  12 -> 19 [size =\"36971520\"]\n  12 -> 20 [size =\"36971520\"]\n  12 -> 22 [size =\"36971520\"]\n  13 [size=\"44971520\", alpha=\"0.11\", expect_size=\"17988608\"] \n  13 -> 16 [size =\"17988608\"]\n  13 -> 17 [size =\"17988608\"]\n  13 -> 18 [size =\"17988608\"]\n  13 -> 22 [size =\"17988608\"]\n  14 [size=\"37314560\", alpha=\"0.14\", expect_size=\"14925824\"] \n  14 -> 15 [size =\"14925824\"]\n  14 -> 16 [size =\"14925824\"]\n  14 -> 18 [size =\"14925824\"]\n  15 [size=\"83220480\", alpha=\"0.05\", expect_size=\"33288192\"] \n  15 -> 23 [size =\"33288192\"]\n  15 -> 24 [size =\"33288192\"]\n  15 -> 25 [size =\"33288192\"]\n  15 -> 27 [size =\"33288192\"]\n  15 -> 29 [size =\"33288192\"]\n  15 -> 30 [size =\"33288192\"]\n  16 [size=\"48732160\", alpha=\"0.02\", expect_size=\"19492864\"] \n  16 -> 24 [size =\"19492864\"]\n  16 -> 25 [size =\"19492864\"]\n  16 -> 29 [size =\"19492864\"]\n  16 -> 30 [size =\"19492864\"]\n  17 [size=\"71779840\", alpha=\"0.09\", expect_size=\"28711936\"] \n  17 -> 23 [size =\"28711936\"]\n  17 -> 25 [size =\"28711936\"]\n  17 -> 27 [size =\"28711936\"]\n  17 -> 28 [size =\"28711936\"]\n  18 [size=\"76403200\", alpha=\"0.10\", expect_size=\"30561280\"] \n  18 -> 24 [size =\"30561280\"]\n  18 -> 25 [size =\"30561280\"]\n  18 -> 26 [size =\"30561280\"]\n  18 -> 27 [size =\"30561280\"]\n  18 -> 28 [size =\"30561280\"]\n  19 [size=\"31388160\", alpha=\"0.05\", expect_size=\"12555264\"] \n  19 -> 28 [size =\"12555264\"]\n  19 -> 30 [size =\"12555264\"]\n  20 [size=\"87713280\", alpha=\"0.05\", expect_size=\"35085312\"] \n  20 -> 23 [size =\"35085312\"]\n  20 -> 27 [size =\"35085312\"]\n  20 -> 28 [size =\"35085312\"]\n  20 -> 30 [size =\"35085312\"]\n  21 [size=\"44349440\", alpha=\"0.04\", expect_size=\"17739776\"] \n  21 -> 26 [size =\"17739776\"]\n  21 -> 27 [size =\"17739776\"]\n  21 -> 28 [size =\"17739776\"]\n  21 -> 30 [size =\"17739776\"]\n  22 [size=\"36997120\", alpha=\"0.13\", expect_size=\"14798848\"] \n  22 -> 28 [size =\"14798848\"]\n  22 -> 29 [size =\"14798848\"]\n  22 -> 30 [size =\"14798848\"]\n  23 [size=\"103651840\", alpha=\"0.11\", expect_size=\"41460736\"] \n  23 -> 32 [size =\"41460736\"]\n  23 -> 33 [size =\"41460736\"]\n  23 -> 35 [size =\"41460736\"]\n  23 -> 37 [size =\"41460736\"]\n  24 [size=\"52638720\", alpha=\"0.05\", expect_size=\"21055488\"] \n  24 -> 38 [size =\"21055488\"]\n  25 [size=\"16332800\", alpha=\"0.19\", expect_size=\"6533120\"] \n  25 -> 31 [size =\"6533120\"]\n  25 -> 34 [size =\"6533120\"]\n  25 -> 36 [size =\"6533120\"]\n  25 -> 37 [size =\"6533120\"]\n  26 [size=\"47961600\", alpha=\"0.05\", expect_size=\"19184640\"] \n  26 -> 32 [size =\"19184640\"]\n  26 -> 33 [size =\"19184640\"]\n  26 -> 34 [size =\"19184640\"]\n  26 -> 37 [size =\"19184640\"]\n  26 -> 38 [size =\"19184640\"]\n  27 [size=\"57072640\", alpha=\"0.02\", expect_size=\"22829056\"] \n  27 -> 32 [size =\"22829056\"]\n  27 -> 33 [size =\"22829056\"]\n  27 -> 34 [size =\"22829056\"]\n  27 -> 35 [size =\"22829056\"]\n  27 -> 37 [size =\"22829056\"]\n  28 [size=\"110295040\", alpha=\"0.13\", expect_size=\"44118016\"] \n  28 -> 32 [size =\"44118016\"]\n  28 -> 36 [size =\"44118016\"]\n  28 -> 38 [size =\"44118016\"]\n  29 [size=\"49774080\", alpha=\"0.08\", expect_size=\"19909632\"] \n  29 -> 33 [size =\"19909632\"]\n  29 -> 36 [size =\"19909632\"]\n  29 -> 37 [size =\"19909632\"]\n  29 -> 38 [size =\"19909632\"]\n  30 [size=\"80586240\", alpha=\"0.06\", expect_size=\"32234496\"] \n  30 -> 34 [size =\"32234496\"]\n  30 -> 37 [size =\"32234496\"]\n  30 -> 38 [size =\"32234496\"]\n  31 [size=\"109990400\", alpha=\"0.05\", expect_size=\"43996160\"] \n  32 [size=\"14904320\", alpha=\"0.18\", expect_size=\"5961728\"] \n  32 -> 39 [size =\"5961728\"]\n  32 -> 40 [size =\"5961728\"]\n  33 [size=\"94333440\", alpha=\"0.17\", expect_size=\"37733376\"] \n  33 -> 41 [size =\"37733376\"]\n  34 [size=\"44116480\", alpha=\"0.19\", expect_size=\"17646592\"] \n  34 -> 43 [size =\"17646592\"]\n  35 [size=\"76016640\", alpha=\"0.14\", expect_size=\"30406656\"] \n  35 -> 39 [size =\"30406656\"]\n  36 [size=\"67228160\", alpha=\"0.14\", expect_size=\"26891264\"] \n  36 -> 42 [size =\"26891264\"]\n  37 [size=\"98944000\", alpha=\"0.04\", expect_size=\"39577600\"] \n  37 -> 40 [size =\"39577600\"]\n  38 [size=\"111836160\", alpha=\"0.05\", expect_size=\"44734464\"] \n  38 -> 40 [size =\"44734464\"]\n  39 [size=\"68213760\", alpha=\"0.10\", expect_size=\"27285504\"] \n  39 -> 44 [size =\"27285504\"]\n  39 -> 45 [size =\"27285504\"]\n  39 -> 47 [size =\"27285504\"]\n  39 -> 48 [size =\"27285504\"]\n  40 [size=\"113246720\", alpha=\"0.06\", expect_size=\"45298688\"] \n  40 -> 44 [size =\"45298688\"]\n  40 -> 46 [size =\"45298688\"]\n  40 -> 48 [size =\"45298688\"]\n  41 [size=\"29683200\", alpha=\"0.09\", expect_size=\"11873280\"] \n  41 -> 47 [size =\"11873280\"]\n  42 [size=\"61294080\", alpha=\"0.15\", expect_size=\"24517632\"] \n  42 -> 46 [size =\"24517632\"]\n  42 -> 47 [size =\"24517632\"]\n  43 [size=\"51473920\", alpha=\"0.16\", expect_size=\"20589568\"] \n  43 -> 44 [size =\"20589568\"]\n  43 -> 46 [size =\"20589568\"]\n  44 [size=\"32089600\", alpha=\"0.05\", expect_size=\"12835840\"] \n  44 -> 49 [size =\"12835840\"]\n  44 -> 50 [size =\"12835840\"]\n  45 [size=\"27345920\", alpha=\"0.13\", expect_size=\"10938368\"] \n  45 -> 49 [size =\"10938368\"]\n  45 -> 50 [size =\"10938368\"]\n  46 [size=\"107358720\", alpha=\"0.08\", expect_size=\"42943488\"] \n  46 -> 50 [size =\"42943488\"]\n  47 [size=\"71828480\", alpha=\"0.10\", expect_size=\"28731392\"] \n  47 -> 49 [size =\"28731392\"]\n  47 -> 50 [size =\"28731392\"]\n  48 [size=\"97390080\", alpha=\"0.09\", expect_size=\"38956032\"] \n  48 -> 49 [size =\"38956032\"]\n  49 [size=\"129374720\", alpha=\"0.14\", expect_size=\"51749888\"] \n  50 [size=\"68103680\", alpha=\"0.10\", expect_size=\"27241472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.894.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19695616\", alpha=\"0.12\", expect_size=\"9847808\"] \n  1 -> 3 [size =\"9847808\"]\n  1 -> 4 [size =\"9847808\"]\n  2 [size=\"50425856\", alpha=\"0.03\", expect_size=\"25212928\"] \n  2 -> 4 [size =\"25212928\"]\n  3 [size=\"96163840\", alpha=\"0.14\", expect_size=\"48081920\"] \n  3 -> 5 [size =\"48081920\"]\n  3 -> 6 [size =\"48081920\"]\n  4 [size=\"85776384\", alpha=\"0.00\", expect_size=\"42888192\"] \n  4 -> 5 [size =\"42888192\"]\n  4 -> 7 [size =\"42888192\"]\n  5 [size=\"26726400\", alpha=\"0.00\", expect_size=\"13363200\"] \n  5 -> 8 [size =\"13363200\"]\n  5 -> 9 [size =\"13363200\"]\n  5 -> 10 [size =\"13363200\"]\n  6 [size=\"101627904\", alpha=\"0.18\", expect_size=\"50813952\"] \n  7 [size=\"101218304\", alpha=\"0.17\", expect_size=\"50609152\"] \n  7 -> 8 [size =\"50609152\"]\n  7 -> 10 [size =\"50609152\"]\n  8 [size=\"18366464\", alpha=\"0.06\", expect_size=\"9183232\"] \n  8 -> 11 [size =\"9183232\"]\n  9 [size=\"37060608\", alpha=\"0.14\", expect_size=\"18530304\"] \n  9 -> 12 [size =\"18530304\"]\n  9 -> 13 [size =\"18530304\"]\n  10 [size=\"64880640\", alpha=\"0.04\", expect_size=\"32440320\"] \n  10 -> 13 [size =\"32440320\"]\n  11 [size=\"84594688\", alpha=\"0.08\", expect_size=\"42297344\"] \n  11 -> 14 [size =\"42297344\"]\n  11 -> 15 [size =\"42297344\"]\n  12 [size=\"47685632\", alpha=\"0.03\", expect_size=\"23842816\"] \n  12 -> 15 [size =\"23842816\"]\n  13 [size=\"61761536\", alpha=\"0.08\", expect_size=\"30880768\"] \n  13 -> 14 [size =\"30880768\"]\n  14 [size=\"35225600\", alpha=\"0.14\", expect_size=\"17612800\"] \n  14 -> 16 [size =\"17612800\"]\n  14 -> 17 [size =\"17612800\"]\n  15 [size=\"36552704\", alpha=\"0.16\", expect_size=\"18276352\"] \n  15 -> 16 [size =\"18276352\"]\n  15 -> 17 [size =\"18276352\"]\n  15 -> 18 [size =\"18276352\"]\n  16 [size=\"37732352\", alpha=\"0.01\", expect_size=\"18866176\"] \n  16 -> 19 [size =\"18866176\"]\n  16 -> 21 [size =\"18866176\"]\n  17 [size=\"27203584\", alpha=\"0.17\", expect_size=\"13601792\"] \n  17 -> 20 [size =\"13601792\"]\n  17 -> 21 [size =\"13601792\"]\n  18 [size=\"14159872\", alpha=\"0.11\", expect_size=\"7079936\"] \n  18 -> 20 [size =\"7079936\"]\n  19 [size=\"41547776\", alpha=\"0.02\", expect_size=\"20773888\"] \n  19 -> 22 [size =\"20773888\"]\n  19 -> 23 [size =\"20773888\"]\n  20 [size=\"14186496\", alpha=\"0.00\", expect_size=\"7093248\"] \n  20 -> 22 [size =\"7093248\"]\n  20 -> 23 [size =\"7093248\"]\n  20 -> 24 [size =\"7093248\"]\n  21 [size=\"34836480\", alpha=\"0.00\", expect_size=\"17418240\"] \n  22 [size=\"72603648\", alpha=\"0.09\", expect_size=\"36301824\"] \n  22 -> 25 [size =\"36301824\"]\n  22 -> 26 [size =\"36301824\"]\n  22 -> 27 [size =\"36301824\"]\n  23 [size=\"88154112\", alpha=\"0.15\", expect_size=\"44077056\"] \n  24 [size=\"33884160\", alpha=\"0.18\", expect_size=\"16942080\"] \n  24 -> 26 [size =\"16942080\"]\n  25 [size=\"98680832\", alpha=\"0.03\", expect_size=\"49340416\"] \n  25 -> 28 [size =\"49340416\"]\n  26 [size=\"78891008\", alpha=\"0.09\", expect_size=\"39445504\"] \n  26 -> 29 [size =\"39445504\"]\n  27 [size=\"83345408\", alpha=\"0.13\", expect_size=\"41672704\"] \n  27 -> 28 [size =\"41672704\"]\n  28 [size=\"70981632\", alpha=\"0.19\", expect_size=\"35490816\"] \n  28 -> 30 [size =\"35490816\"]\n  28 -> 32 [size =\"35490816\"]\n  29 [size=\"28125184\", alpha=\"0.11\", expect_size=\"14062592\"] \n  29 -> 30 [size =\"14062592\"]\n  29 -> 31 [size =\"14062592\"]\n  29 -> 32 [size =\"14062592\"]\n  30 [size=\"39776256\", alpha=\"0.14\", expect_size=\"19888128\"] \n  31 [size=\"41633792\", alpha=\"0.13\", expect_size=\"20816896\"] \n  31 -> 33 [size =\"20816896\"]\n  31 -> 34 [size =\"20816896\"]\n  32 [size=\"42909696\", alpha=\"0.00\", expect_size=\"21454848\"] \n  32 -> 33 [size =\"21454848\"]\n  33 [size=\"83548160\", alpha=\"0.18\", expect_size=\"41774080\"] \n  33 -> 35 [size =\"41774080\"]\n  33 -> 36 [size =\"41774080\"]\n  34 [size=\"60481536\", alpha=\"0.01\", expect_size=\"30240768\"] \n  34 -> 35 [size =\"30240768\"]\n  35 [size=\"49002496\", alpha=\"0.09\", expect_size=\"24501248\"] \n  35 -> 38 [size =\"24501248\"]\n  35 -> 39 [size =\"24501248\"]\n  36 [size=\"65353728\", alpha=\"0.04\", expect_size=\"32676864\"] \n  36 -> 37 [size =\"32676864\"]\n  36 -> 39 [size =\"32676864\"]\n  37 [size=\"11933696\", alpha=\"0.01\", expect_size=\"5966848\"] \n  37 -> 40 [size =\"5966848\"]\n  38 [size=\"73848832\", alpha=\"0.20\", expect_size=\"36924416\"] \n  39 [size=\"70238208\", alpha=\"0.05\", expect_size=\"35119104\"] \n  39 -> 40 [size =\"35119104\"]\n  39 -> 41 [size =\"35119104\"]\n  40 [size=\"27676672\", alpha=\"0.11\", expect_size=\"13838336\"] \n  40 -> 42 [size =\"13838336\"]\n  41 [size=\"94932992\", alpha=\"0.02\", expect_size=\"47466496\"] \n  41 -> 43 [size =\"47466496\"]\n  42 [size=\"63000576\", alpha=\"0.07\", expect_size=\"31500288\"] \n  42 -> 44 [size =\"31500288\"]\n  42 -> 45 [size =\"31500288\"]\n  43 [size=\"63453184\", alpha=\"0.07\", expect_size=\"31726592\"] \n  43 -> 44 [size =\"31726592\"]\n  44 [size=\"53198848\", alpha=\"0.13\", expect_size=\"26599424\"] \n  44 -> 47 [size =\"26599424\"]\n  45 [size=\"56975360\", alpha=\"0.17\", expect_size=\"28487680\"] \n  45 -> 46 [size =\"28487680\"]\n  45 -> 48 [size =\"28487680\"]\n  46 [size=\"100851712\", alpha=\"0.16\", expect_size=\"50425856\"] \n  46 -> 49 [size =\"50425856\"]\n  46 -> 50 [size =\"50425856\"]\n  47 [size=\"23332864\", alpha=\"0.11\", expect_size=\"11666432\"] \n  47 -> 50 [size =\"11666432\"]\n  48 [size=\"29882368\", alpha=\"0.18\", expect_size=\"14941184\"] \n  48 -> 49 [size =\"14941184\"]\n  49 [size=\"29804544\", alpha=\"0.09\", expect_size=\"14902272\"] \n  50 [size=\"54159360\", alpha=\"0.06\", expect_size=\"27079680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.895.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"119930880\", alpha=\"0.05\", expect_size=\"35979264\"] \n  1 -> 10 [size =\"35979264\"]\n  1 -> 11 [size =\"35979264\"]\n  2 [size=\"145476267\", alpha=\"0.17\", expect_size=\"43642880\"] \n  2 -> 8 [size =\"43642880\"]\n  2 -> 9 [size =\"43642880\"]\n  2 -> 10 [size =\"43642880\"]\n  2 -> 11 [size =\"43642880\"]\n  3 [size=\"44584960\", alpha=\"0.18\", expect_size=\"13375488\"] \n  3 -> 9 [size =\"13375488\"]\n  4 [size=\"103908693\", alpha=\"0.16\", expect_size=\"31172608\"] \n  4 -> 8 [size =\"31172608\"]\n  5 [size=\"22913707\", alpha=\"0.05\", expect_size=\"6874112\"] \n  5 -> 8 [size =\"6874112\"]\n  5 -> 11 [size =\"6874112\"]\n  6 [size=\"116811093\", alpha=\"0.14\", expect_size=\"35043328\"] \n  6 -> 8 [size =\"35043328\"]\n  6 -> 11 [size =\"35043328\"]\n  7 [size=\"164085760\", alpha=\"0.11\", expect_size=\"49225728\"] \n  7 -> 10 [size =\"49225728\"]\n  7 -> 11 [size =\"49225728\"]\n  8 [size=\"88176640\", alpha=\"0.20\", expect_size=\"26452992\"] \n  8 -> 12 [size =\"26452992\"]\n  8 -> 13 [size =\"26452992\"]\n  8 -> 14 [size =\"26452992\"]\n  8 -> 15 [size =\"26452992\"]\n  9 [size=\"111001600\", alpha=\"0.02\", expect_size=\"33300480\"] \n  9 -> 13 [size =\"33300480\"]\n  9 -> 15 [size =\"33300480\"]\n  10 [size=\"49005227\", alpha=\"0.06\", expect_size=\"14701568\"] \n  10 -> 14 [size =\"14701568\"]\n  10 -> 15 [size =\"14701568\"]\n  10 -> 17 [size =\"14701568\"]\n  11 [size=\"72949760\", alpha=\"0.19\", expect_size=\"21884928\"] \n  11 -> 14 [size =\"21884928\"]\n  11 -> 16 [size =\"21884928\"]\n  11 -> 17 [size =\"21884928\"]\n  12 [size=\"111117653\", alpha=\"0.17\", expect_size=\"33335296\"] \n  12 -> 19 [size =\"33335296\"]\n  12 -> 21 [size =\"33335296\"]\n  13 [size=\"88040107\", alpha=\"0.05\", expect_size=\"26412032\"] \n  13 -> 19 [size =\"26412032\"]\n  13 -> 20 [size =\"26412032\"]\n  14 [size=\"74274133\", alpha=\"0.10\", expect_size=\"22282240\"] \n  15 [size=\"44533760\", alpha=\"0.14\", expect_size=\"13360128\"] \n  15 -> 18 [size =\"13360128\"]\n  15 -> 20 [size =\"13360128\"]\n  15 -> 21 [size =\"13360128\"]\n  16 [size=\"83766613\", alpha=\"0.01\", expect_size=\"25129984\"] \n  17 [size=\"33788587\", alpha=\"0.00\", expect_size=\"10136576\"] \n  17 -> 21 [size =\"10136576\"]\n  18 [size=\"117367467\", alpha=\"0.04\", expect_size=\"35210240\"] \n  18 -> 23 [size =\"35210240\"]\n  19 [size=\"115244373\", alpha=\"0.00\", expect_size=\"34573312\"] \n  19 -> 22 [size =\"34573312\"]\n  19 -> 26 [size =\"34573312\"]\n  19 -> 28 [size =\"34573312\"]\n  20 [size=\"129508693\", alpha=\"0.19\", expect_size=\"38852608\"] \n  20 -> 22 [size =\"38852608\"]\n  20 -> 23 [size =\"38852608\"]\n  20 -> 25 [size =\"38852608\"]\n  20 -> 26 [size =\"38852608\"]\n  20 -> 27 [size =\"38852608\"]\n  20 -> 28 [size =\"38852608\"]\n  20 -> 29 [size =\"38852608\"]\n  21 [size=\"173185707\", alpha=\"0.11\", expect_size=\"51955712\"] \n  21 -> 22 [size =\"51955712\"]\n  21 -> 23 [size =\"51955712\"]\n  21 -> 24 [size =\"51955712\"]\n  21 -> 25 [size =\"51955712\"]\n  21 -> 28 [size =\"51955712\"]\n  21 -> 29 [size =\"51955712\"]\n  22 [size=\"168454827\", alpha=\"0.19\", expect_size=\"50536448\"] \n  22 -> 30 [size =\"50536448\"]\n  22 -> 31 [size =\"50536448\"]\n  22 -> 33 [size =\"50536448\"]\n  23 [size=\"147950933\", alpha=\"0.10\", expect_size=\"44385280\"] \n  24 [size=\"27729920\", alpha=\"0.13\", expect_size=\"8318976\"] \n  24 -> 30 [size =\"8318976\"]\n  24 -> 31 [size =\"8318976\"]\n  25 [size=\"106407253\", alpha=\"0.16\", expect_size=\"31922176\"] \n  25 -> 30 [size =\"31922176\"]\n  25 -> 32 [size =\"31922176\"]\n  25 -> 33 [size =\"31922176\"]\n  26 [size=\"57972053\", alpha=\"0.11\", expect_size=\"17391616\"] \n  26 -> 32 [size =\"17391616\"]\n  27 [size=\"65918293\", alpha=\"0.06\", expect_size=\"19775488\"] \n  27 -> 31 [size =\"19775488\"]\n  27 -> 32 [size =\"19775488\"]\n  28 [size=\"67904853\", alpha=\"0.09\", expect_size=\"20371456\"] \n  28 -> 30 [size =\"20371456\"]\n  28 -> 31 [size =\"20371456\"]\n  28 -> 32 [size =\"20371456\"]\n  29 [size=\"96474453\", alpha=\"0.04\", expect_size=\"28942336\"] \n  29 -> 30 [size =\"28942336\"]\n  29 -> 31 [size =\"28942336\"]\n  29 -> 32 [size =\"28942336\"]\n  29 -> 33 [size =\"28942336\"]\n  30 [size=\"99611307\", alpha=\"0.04\", expect_size=\"29883392\"] \n  30 -> 34 [size =\"29883392\"]\n  30 -> 37 [size =\"29883392\"]\n  30 -> 39 [size =\"29883392\"]\n  31 [size=\"92187307\", alpha=\"0.10\", expect_size=\"27656192\"] \n  31 -> 36 [size =\"27656192\"]\n  31 -> 37 [size =\"27656192\"]\n  32 [size=\"19374080\", alpha=\"0.08\", expect_size=\"5812224\"] \n  32 -> 34 [size =\"5812224\"]\n  32 -> 35 [size =\"5812224\"]\n  32 -> 38 [size =\"5812224\"]\n  33 [size=\"166458027\", alpha=\"0.15\", expect_size=\"49937408\"] \n  33 -> 34 [size =\"49937408\"]\n  33 -> 35 [size =\"49937408\"]\n  33 -> 38 [size =\"49937408\"]\n  33 -> 40 [size =\"49937408\"]\n  34 [size=\"88688640\", alpha=\"0.10\", expect_size=\"26606592\"] \n  34 -> 42 [size =\"26606592\"]\n  35 [size=\"29791573\", alpha=\"0.08\", expect_size=\"8937472\"] \n  35 -> 43 [size =\"8937472\"]\n  35 -> 44 [size =\"8937472\"]\n  36 [size=\"152494080\", alpha=\"0.14\", expect_size=\"45748224\"] \n  36 -> 41 [size =\"45748224\"]\n  36 -> 43 [size =\"45748224\"]\n  37 [size=\"84264960\", alpha=\"0.02\", expect_size=\"25279488\"] \n  37 -> 42 [size =\"25279488\"]\n  38 [size=\"129010347\", alpha=\"0.03\", expect_size=\"38703104\"] \n  38 -> 42 [size =\"38703104\"]\n  38 -> 44 [size =\"38703104\"]\n  39 [size=\"42850987\", alpha=\"0.17\", expect_size=\"12855296\"] \n  39 -> 43 [size =\"12855296\"]\n  40 [size=\"76605440\", alpha=\"0.04\", expect_size=\"22981632\"] \n  40 -> 43 [size =\"22981632\"]\n  41 [size=\"104509440\", alpha=\"0.12\", expect_size=\"31352832\"] \n  41 -> 46 [size =\"31352832\"]\n  41 -> 47 [size =\"31352832\"]\n  42 [size=\"24756907\", alpha=\"0.19\", expect_size=\"7427072\"] \n  42 -> 45 [size =\"7427072\"]\n  42 -> 47 [size =\"7427072\"]\n  42 -> 48 [size =\"7427072\"]\n  43 [size=\"88279040\", alpha=\"0.02\", expect_size=\"26483712\"] \n  43 -> 48 [size =\"26483712\"]\n  44 [size=\"51070293\", alpha=\"0.07\", expect_size=\"15321088\"] \n  44 -> 46 [size =\"15321088\"]\n  44 -> 47 [size =\"15321088\"]\n  44 -> 48 [size =\"15321088\"]\n  45 [size=\"127211520\", alpha=\"0.03\", expect_size=\"38163456\"] \n  45 -> 49 [size =\"38163456\"]\n  46 [size=\"29194240\", alpha=\"0.04\", expect_size=\"8758272\"] \n  46 -> 50 [size =\"8758272\"]\n  47 [size=\"137881600\", alpha=\"0.11\", expect_size=\"41364480\"] \n  48 [size=\"155016533\", alpha=\"0.05\", expect_size=\"46504960\"] \n  49 [size=\"23207253\", alpha=\"0.08\", expect_size=\"6962176\"] \n  50 [size=\"154791253\", alpha=\"0.02\", expect_size=\"46437376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.896.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95885312\", alpha=\"0.18\", expect_size=\"47942656\"] \n  1 -> 3 [size =\"47942656\"]\n  2 [size=\"75739136\", alpha=\"0.15\", expect_size=\"37869568\"] \n  3 [size=\"15470592\", alpha=\"0.11\", expect_size=\"7735296\"] \n  3 -> 4 [size =\"7735296\"]\n  4 [size=\"80240640\", alpha=\"0.12\", expect_size=\"40120320\"] \n  4 -> 5 [size =\"40120320\"]\n  4 -> 6 [size =\"40120320\"]\n  5 [size=\"85499904\", alpha=\"0.13\", expect_size=\"42749952\"] \n  5 -> 7 [size =\"42749952\"]\n  6 [size=\"89311232\", alpha=\"0.16\", expect_size=\"44655616\"] \n  6 -> 7 [size =\"44655616\"]\n  7 [size=\"69632000\", alpha=\"0.09\", expect_size=\"34816000\"] \n  7 -> 8 [size =\"34816000\"]\n  8 [size=\"23238656\", alpha=\"0.08\", expect_size=\"11619328\"] \n  8 -> 9 [size =\"11619328\"]\n  8 -> 10 [size =\"11619328\"]\n  8 -> 11 [size =\"11619328\"]\n  9 [size=\"11337728\", alpha=\"0.18\", expect_size=\"5668864\"] \n  9 -> 13 [size =\"5668864\"]\n  10 [size=\"47562752\", alpha=\"0.05\", expect_size=\"23781376\"] \n  10 -> 12 [size =\"23781376\"]\n  11 [size=\"37814272\", alpha=\"0.04\", expect_size=\"18907136\"] \n  12 [size=\"30177280\", alpha=\"0.15\", expect_size=\"15088640\"] \n  13 [size=\"101926912\", alpha=\"0.07\", expect_size=\"50963456\"] \n  13 -> 14 [size =\"50963456\"]\n  13 -> 15 [size =\"50963456\"]\n  13 -> 16 [size =\"50963456\"]\n  14 [size=\"61224960\", alpha=\"0.04\", expect_size=\"30612480\"] \n  14 -> 18 [size =\"30612480\"]\n  15 [size=\"23265280\", alpha=\"0.06\", expect_size=\"11632640\"] \n  16 [size=\"82753536\", alpha=\"0.05\", expect_size=\"41376768\"] \n  16 -> 17 [size =\"41376768\"]\n  17 [size=\"64751616\", alpha=\"0.09\", expect_size=\"32375808\"] \n  17 -> 20 [size =\"32375808\"]\n  18 [size=\"14989312\", alpha=\"0.15\", expect_size=\"7494656\"] \n  18 -> 19 [size =\"7494656\"]\n  18 -> 21 [size =\"7494656\"]\n  19 [size=\"51025920\", alpha=\"0.16\", expect_size=\"25512960\"] \n  19 -> 22 [size =\"25512960\"]\n  19 -> 24 [size =\"25512960\"]\n  20 [size=\"42305536\", alpha=\"0.12\", expect_size=\"21152768\"] \n  20 -> 22 [size =\"21152768\"]\n  20 -> 23 [size =\"21152768\"]\n  20 -> 24 [size =\"21152768\"]\n  21 [size=\"67690496\", alpha=\"0.07\", expect_size=\"33845248\"] \n  22 [size=\"86097920\", alpha=\"0.16\", expect_size=\"43048960\"] \n  23 [size=\"64225280\", alpha=\"0.05\", expect_size=\"32112640\"] \n  23 -> 25 [size =\"32112640\"]\n  24 [size=\"98672640\", alpha=\"0.10\", expect_size=\"49336320\"] \n  24 -> 25 [size =\"49336320\"]\n  25 [size=\"22394880\", alpha=\"0.10\", expect_size=\"11197440\"] \n  25 -> 26 [size =\"11197440\"]\n  25 -> 27 [size =\"11197440\"]\n  25 -> 28 [size =\"11197440\"]\n  25 -> 29 [size =\"11197440\"]\n  26 [size=\"50591744\", alpha=\"0.07\", expect_size=\"25295872\"] \n  26 -> 33 [size =\"25295872\"]\n  27 [size=\"72079360\", alpha=\"0.16\", expect_size=\"36039680\"] \n  27 -> 30 [size =\"36039680\"]\n  27 -> 31 [size =\"36039680\"]\n  28 [size=\"22159360\", alpha=\"0.08\", expect_size=\"11079680\"] \n  28 -> 33 [size =\"11079680\"]\n  29 [size=\"93034496\", alpha=\"0.01\", expect_size=\"46517248\"] \n  29 -> 31 [size =\"46517248\"]\n  29 -> 32 [size =\"46517248\"]\n  29 -> 33 [size =\"46517248\"]\n  30 [size=\"73527296\", alpha=\"0.01\", expect_size=\"36763648\"] \n  30 -> 35 [size =\"36763648\"]\n  30 -> 36 [size =\"36763648\"]\n  31 [size=\"37888000\", alpha=\"0.07\", expect_size=\"18944000\"] \n  31 -> 34 [size =\"18944000\"]\n  31 -> 35 [size =\"18944000\"]\n  32 [size=\"71512064\", alpha=\"0.17\", expect_size=\"35756032\"] \n  33 [size=\"50911232\", alpha=\"0.07\", expect_size=\"25455616\"] \n  34 [size=\"75446272\", alpha=\"0.07\", expect_size=\"37723136\"] \n  34 -> 37 [size =\"37723136\"]\n  34 -> 38 [size =\"37723136\"]\n  35 [size=\"26124288\", alpha=\"0.10\", expect_size=\"13062144\"] \n  35 -> 38 [size =\"13062144\"]\n  36 [size=\"72335360\", alpha=\"0.09\", expect_size=\"36167680\"] \n  36 -> 37 [size =\"36167680\"]\n  36 -> 39 [size =\"36167680\"]\n  37 [size=\"104161280\", alpha=\"0.18\", expect_size=\"52080640\"] \n  38 [size=\"86378496\", alpha=\"0.09\", expect_size=\"43189248\"] \n  38 -> 41 [size =\"43189248\"]\n  39 [size=\"31737856\", alpha=\"0.09\", expect_size=\"15868928\"] \n  39 -> 40 [size =\"15868928\"]\n  40 [size=\"35467264\", alpha=\"0.15\", expect_size=\"17733632\"] \n  40 -> 42 [size =\"17733632\"]\n  40 -> 43 [size =\"17733632\"]\n  40 -> 44 [size =\"17733632\"]\n  41 [size=\"40275968\", alpha=\"0.13\", expect_size=\"20137984\"] \n  41 -> 44 [size =\"20137984\"]\n  42 [size=\"73488384\", alpha=\"0.07\", expect_size=\"36744192\"] \n  42 -> 45 [size =\"36744192\"]\n  42 -> 46 [size =\"36744192\"]\n  43 [size=\"60426240\", alpha=\"0.13\", expect_size=\"30213120\"] \n  43 -> 45 [size =\"30213120\"]\n  44 [size=\"92532736\", alpha=\"0.17\", expect_size=\"46266368\"] \n  45 [size=\"31803392\", alpha=\"0.04\", expect_size=\"15901696\"] \n  45 -> 48 [size =\"15901696\"]\n  45 -> 50 [size =\"15901696\"]\n  46 [size=\"79763456\", alpha=\"0.20\", expect_size=\"39881728\"] \n  46 -> 47 [size =\"39881728\"]\n  46 -> 48 [size =\"39881728\"]\n  46 -> 49 [size =\"39881728\"]\n  46 -> 50 [size =\"39881728\"]\n  47 [size=\"25563136\", alpha=\"0.08\", expect_size=\"12781568\"] \n  48 [size=\"17844224\", alpha=\"0.19\", expect_size=\"8922112\"] \n  49 [size=\"61110272\", alpha=\"0.07\", expect_size=\"30555136\"] \n  50 [size=\"101533696\", alpha=\"0.09\", expect_size=\"50766848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.897.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58834944\", alpha=\"0.13\", expect_size=\"29417472\"] \n  1 -> 4 [size =\"29417472\"]\n  1 -> 5 [size =\"29417472\"]\n  2 [size=\"24576000\", alpha=\"0.14\", expect_size=\"12288000\"] \n  2 -> 4 [size =\"12288000\"]\n  3 [size=\"99397632\", alpha=\"0.14\", expect_size=\"49698816\"] \n  3 -> 4 [size =\"49698816\"]\n  4 [size=\"101937152\", alpha=\"0.01\", expect_size=\"50968576\"] \n  4 -> 6 [size =\"50968576\"]\n  5 [size=\"22706176\", alpha=\"0.09\", expect_size=\"11353088\"] \n  5 -> 6 [size =\"11353088\"]\n  5 -> 7 [size =\"11353088\"]\n  6 [size=\"68128768\", alpha=\"0.14\", expect_size=\"34064384\"] \n  6 -> 8 [size =\"34064384\"]\n  6 -> 9 [size =\"34064384\"]\n  7 [size=\"58849280\", alpha=\"0.08\", expect_size=\"29424640\"] \n  7 -> 9 [size =\"29424640\"]\n  8 [size=\"42928128\", alpha=\"0.18\", expect_size=\"21464064\"] \n  8 -> 10 [size =\"21464064\"]\n  8 -> 11 [size =\"21464064\"]\n  9 [size=\"29349888\", alpha=\"0.06\", expect_size=\"14674944\"] \n  9 -> 10 [size =\"14674944\"]\n  9 -> 11 [size =\"14674944\"]\n  10 [size=\"20977664\", alpha=\"0.10\", expect_size=\"10488832\"] \n  10 -> 12 [size =\"10488832\"]\n  10 -> 13 [size =\"10488832\"]\n  11 [size=\"71960576\", alpha=\"0.16\", expect_size=\"35980288\"] \n  11 -> 12 [size =\"35980288\"]\n  12 [size=\"39878656\", alpha=\"0.17\", expect_size=\"19939328\"] \n  12 -> 14 [size =\"19939328\"]\n  12 -> 15 [size =\"19939328\"]\n  13 [size=\"103905280\", alpha=\"0.03\", expect_size=\"51952640\"] \n  13 -> 14 [size =\"51952640\"]\n  13 -> 15 [size =\"51952640\"]\n  13 -> 16 [size =\"51952640\"]\n  14 [size=\"75118592\", alpha=\"0.07\", expect_size=\"37559296\"] \n  14 -> 17 [size =\"37559296\"]\n  15 [size=\"79851520\", alpha=\"0.00\", expect_size=\"39925760\"] \n  15 -> 17 [size =\"39925760\"]\n  15 -> 18 [size =\"39925760\"]\n  16 [size=\"28020736\", alpha=\"0.04\", expect_size=\"14010368\"] \n  16 -> 17 [size =\"14010368\"]\n  16 -> 18 [size =\"14010368\"]\n  17 [size=\"95942656\", alpha=\"0.18\", expect_size=\"47971328\"] \n  17 -> 19 [size =\"47971328\"]\n  17 -> 20 [size =\"47971328\"]\n  17 -> 21 [size =\"47971328\"]\n  18 [size=\"39528448\", alpha=\"0.18\", expect_size=\"19764224\"] \n  18 -> 19 [size =\"19764224\"]\n  18 -> 20 [size =\"19764224\"]\n  19 [size=\"31508480\", alpha=\"0.02\", expect_size=\"15754240\"] \n  19 -> 22 [size =\"15754240\"]\n  19 -> 23 [size =\"15754240\"]\n  20 [size=\"60209152\", alpha=\"0.09\", expect_size=\"30104576\"] \n  20 -> 22 [size =\"30104576\"]\n  20 -> 23 [size =\"30104576\"]\n  21 [size=\"12029952\", alpha=\"0.07\", expect_size=\"6014976\"] \n  21 -> 22 [size =\"6014976\"]\n  21 -> 23 [size =\"6014976\"]\n  22 [size=\"89552896\", alpha=\"0.07\", expect_size=\"44776448\"] \n  22 -> 25 [size =\"44776448\"]\n  22 -> 26 [size =\"44776448\"]\n  23 [size=\"75737088\", alpha=\"0.07\", expect_size=\"37868544\"] \n  23 -> 24 [size =\"37868544\"]\n  23 -> 25 [size =\"37868544\"]\n  23 -> 26 [size =\"37868544\"]\n  24 [size=\"88551424\", alpha=\"0.06\", expect_size=\"44275712\"] \n  24 -> 27 [size =\"44275712\"]\n  24 -> 29 [size =\"44275712\"]\n  25 [size=\"28581888\", alpha=\"0.07\", expect_size=\"14290944\"] \n  25 -> 27 [size =\"14290944\"]\n  25 -> 28 [size =\"14290944\"]\n  25 -> 29 [size =\"14290944\"]\n  26 [size=\"29874176\", alpha=\"0.01\", expect_size=\"14937088\"] \n  26 -> 27 [size =\"14937088\"]\n  26 -> 29 [size =\"14937088\"]\n  27 [size=\"49360896\", alpha=\"0.05\", expect_size=\"24680448\"] \n  27 -> 30 [size =\"24680448\"]\n  27 -> 31 [size =\"24680448\"]\n  28 [size=\"38285312\", alpha=\"0.15\", expect_size=\"19142656\"] \n  28 -> 30 [size =\"19142656\"]\n  28 -> 31 [size =\"19142656\"]\n  29 [size=\"28616704\", alpha=\"0.10\", expect_size=\"14308352\"] \n  29 -> 31 [size =\"14308352\"]\n  30 [size=\"37421056\", alpha=\"0.07\", expect_size=\"18710528\"] \n  30 -> 33 [size =\"18710528\"]\n  30 -> 34 [size =\"18710528\"]\n  31 [size=\"80967680\", alpha=\"0.17\", expect_size=\"40483840\"] \n  31 -> 32 [size =\"40483840\"]\n  31 -> 33 [size =\"40483840\"]\n  31 -> 34 [size =\"40483840\"]\n  32 [size=\"18855936\", alpha=\"0.13\", expect_size=\"9427968\"] \n  32 -> 37 [size =\"9427968\"]\n  33 [size=\"53927936\", alpha=\"0.09\", expect_size=\"26963968\"] \n  33 -> 36 [size =\"26963968\"]\n  33 -> 37 [size =\"26963968\"]\n  34 [size=\"86349824\", alpha=\"0.19\", expect_size=\"43174912\"] \n  34 -> 35 [size =\"43174912\"]\n  34 -> 37 [size =\"43174912\"]\n  35 [size=\"18831360\", alpha=\"0.03\", expect_size=\"9415680\"] \n  35 -> 38 [size =\"9415680\"]\n  35 -> 39 [size =\"9415680\"]\n  36 [size=\"52336640\", alpha=\"0.12\", expect_size=\"26168320\"] \n  36 -> 39 [size =\"26168320\"]\n  37 [size=\"55767040\", alpha=\"0.18\", expect_size=\"27883520\"] \n  37 -> 38 [size =\"27883520\"]\n  38 [size=\"77488128\", alpha=\"0.10\", expect_size=\"38744064\"] \n  38 -> 40 [size =\"38744064\"]\n  38 -> 41 [size =\"38744064\"]\n  39 [size=\"55572480\", alpha=\"0.07\", expect_size=\"27786240\"] \n  39 -> 40 [size =\"27786240\"]\n  39 -> 41 [size =\"27786240\"]\n  40 [size=\"103256064\", alpha=\"0.15\", expect_size=\"51628032\"] \n  40 -> 42 [size =\"51628032\"]\n  40 -> 43 [size =\"51628032\"]\n  40 -> 44 [size =\"51628032\"]\n  41 [size=\"42289152\", alpha=\"0.02\", expect_size=\"21144576\"] \n  41 -> 42 [size =\"21144576\"]\n  41 -> 44 [size =\"21144576\"]\n  42 [size=\"28518400\", alpha=\"0.07\", expect_size=\"14259200\"] \n  42 -> 45 [size =\"14259200\"]\n  42 -> 46 [size =\"14259200\"]\n  43 [size=\"91336704\", alpha=\"0.05\", expect_size=\"45668352\"] \n  44 [size=\"41048064\", alpha=\"0.20\", expect_size=\"20524032\"] \n  44 -> 45 [size =\"20524032\"]\n  45 [size=\"36661248\", alpha=\"0.19\", expect_size=\"18330624\"] \n  45 -> 47 [size =\"18330624\"]\n  46 [size=\"53170176\", alpha=\"0.01\", expect_size=\"26585088\"] \n  46 -> 47 [size =\"26585088\"]\n  46 -> 48 [size =\"26585088\"]\n  47 [size=\"13740032\", alpha=\"0.13\", expect_size=\"6870016\"] \n  47 -> 49 [size =\"6870016\"]\n  47 -> 50 [size =\"6870016\"]\n  48 [size=\"98199552\", alpha=\"0.09\", expect_size=\"49099776\"] \n  48 -> 49 [size =\"49099776\"]\n  48 -> 50 [size =\"49099776\"]\n  49 [size=\"52477952\", alpha=\"0.10\", expect_size=\"26238976\"] \n  50 [size=\"86345728\", alpha=\"0.17\", expect_size=\"43172864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.898.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58417152\", alpha=\"0.14\", expect_size=\"29208576\"] \n  1 -> 6 [size =\"29208576\"]\n  1 -> 8 [size =\"29208576\"]\n  1 -> 9 [size =\"29208576\"]\n  2 [size=\"24586240\", alpha=\"0.12\", expect_size=\"12293120\"] \n  3 [size=\"41867264\", alpha=\"0.05\", expect_size=\"20933632\"] \n  3 -> 7 [size =\"20933632\"]\n  3 -> 9 [size =\"20933632\"]\n  4 [size=\"98410496\", alpha=\"0.10\", expect_size=\"49205248\"] \n  4 -> 6 [size =\"49205248\"]\n  5 [size=\"27017216\", alpha=\"0.05\", expect_size=\"13508608\"] \n  5 -> 6 [size =\"13508608\"]\n  5 -> 10 [size =\"13508608\"]\n  6 [size=\"47341568\", alpha=\"0.10\", expect_size=\"23670784\"] \n  6 -> 12 [size =\"23670784\"]\n  6 -> 15 [size =\"23670784\"]\n  6 -> 16 [size =\"23670784\"]\n  6 -> 17 [size =\"23670784\"]\n  7 [size=\"65585152\", alpha=\"0.19\", expect_size=\"32792576\"] \n  7 -> 15 [size =\"32792576\"]\n  7 -> 16 [size =\"32792576\"]\n  7 -> 18 [size =\"32792576\"]\n  8 [size=\"86513664\", alpha=\"0.02\", expect_size=\"43256832\"] \n  8 -> 13 [size =\"43256832\"]\n  9 [size=\"103297024\", alpha=\"0.13\", expect_size=\"51648512\"] \n  9 -> 12 [size =\"51648512\"]\n  9 -> 14 [size =\"51648512\"]\n  9 -> 15 [size =\"51648512\"]\n  9 -> 18 [size =\"51648512\"]\n  10 [size=\"33884160\", alpha=\"0.19\", expect_size=\"16942080\"] \n  10 -> 11 [size =\"16942080\"]\n  10 -> 16 [size =\"16942080\"]\n  10 -> 17 [size =\"16942080\"]\n  11 [size=\"20101120\", alpha=\"0.11\", expect_size=\"10050560\"] \n  11 -> 21 [size =\"10050560\"]\n  11 -> 22 [size =\"10050560\"]\n  11 -> 25 [size =\"10050560\"]\n  12 [size=\"85721088\", alpha=\"0.04\", expect_size=\"42860544\"] \n  12 -> 23 [size =\"42860544\"]\n  12 -> 24 [size =\"42860544\"]\n  13 [size=\"48826368\", alpha=\"0.06\", expect_size=\"24413184\"] \n  13 -> 20 [size =\"24413184\"]\n  13 -> 23 [size =\"24413184\"]\n  14 [size=\"71817216\", alpha=\"0.07\", expect_size=\"35908608\"] \n  14 -> 20 [size =\"35908608\"]\n  14 -> 23 [size =\"35908608\"]\n  15 [size=\"24502272\", alpha=\"0.09\", expect_size=\"12251136\"] \n  16 [size=\"45756416\", alpha=\"0.11\", expect_size=\"22878208\"] \n  16 -> 21 [size =\"22878208\"]\n  17 [size=\"90675200\", alpha=\"0.18\", expect_size=\"45337600\"] \n  17 -> 21 [size =\"45337600\"]\n  17 -> 22 [size =\"45337600\"]\n  18 [size=\"85919744\", alpha=\"0.11\", expect_size=\"42959872\"] \n  18 -> 19 [size =\"42959872\"]\n  18 -> 20 [size =\"42959872\"]\n  18 -> 21 [size =\"42959872\"]\n  18 -> 23 [size =\"42959872\"]\n  18 -> 25 [size =\"42959872\"]\n  19 [size=\"96262144\", alpha=\"0.00\", expect_size=\"48131072\"] \n  19 -> 27 [size =\"48131072\"]\n  19 -> 30 [size =\"48131072\"]\n  19 -> 31 [size =\"48131072\"]\n  20 [size=\"64755712\", alpha=\"0.17\", expect_size=\"32377856\"] \n  20 -> 26 [size =\"32377856\"]\n  21 [size=\"57872384\", alpha=\"0.05\", expect_size=\"28936192\"] \n  21 -> 30 [size =\"28936192\"]\n  21 -> 31 [size =\"28936192\"]\n  22 [size=\"17686528\", alpha=\"0.15\", expect_size=\"8843264\"] \n  22 -> 29 [size =\"8843264\"]\n  22 -> 31 [size =\"8843264\"]\n  23 [size=\"37404672\", alpha=\"0.12\", expect_size=\"18702336\"] \n  23 -> 26 [size =\"18702336\"]\n  23 -> 27 [size =\"18702336\"]\n  23 -> 28 [size =\"18702336\"]\n  23 -> 30 [size =\"18702336\"]\n  24 [size=\"65835008\", alpha=\"0.08\", expect_size=\"32917504\"] \n  24 -> 29 [size =\"32917504\"]\n  25 [size=\"98953216\", alpha=\"0.07\", expect_size=\"49476608\"] \n  25 -> 27 [size =\"49476608\"]\n  25 -> 30 [size =\"49476608\"]\n  26 [size=\"48089088\", alpha=\"0.14\", expect_size=\"24044544\"] \n  27 [size=\"100653056\", alpha=\"0.13\", expect_size=\"50326528\"] \n  27 -> 32 [size =\"50326528\"]\n  27 -> 35 [size =\"50326528\"]\n  28 [size=\"88881152\", alpha=\"0.08\", expect_size=\"44440576\"] \n  28 -> 33 [size =\"44440576\"]\n  28 -> 35 [size =\"44440576\"]\n  29 [size=\"47241216\", alpha=\"0.02\", expect_size=\"23620608\"] \n  29 -> 32 [size =\"23620608\"]\n  30 [size=\"47683584\", alpha=\"0.02\", expect_size=\"23841792\"] \n  30 -> 34 [size =\"23841792\"]\n  30 -> 37 [size =\"23841792\"]\n  31 [size=\"35375104\", alpha=\"0.03\", expect_size=\"17687552\"] \n  31 -> 33 [size =\"17687552\"]\n  31 -> 35 [size =\"17687552\"]\n  31 -> 36 [size =\"17687552\"]\n  32 [size=\"58251264\", alpha=\"0.01\", expect_size=\"29125632\"] \n  32 -> 38 [size =\"29125632\"]\n  32 -> 40 [size =\"29125632\"]\n  33 [size=\"36038656\", alpha=\"0.06\", expect_size=\"18019328\"] \n  33 -> 41 [size =\"18019328\"]\n  33 -> 42 [size =\"18019328\"]\n  34 [size=\"94494720\", alpha=\"0.05\", expect_size=\"47247360\"] \n  34 -> 41 [size =\"47247360\"]\n  35 [size=\"38426624\", alpha=\"0.07\", expect_size=\"19213312\"] \n  35 -> 40 [size =\"19213312\"]\n  36 [size=\"73113600\", alpha=\"0.16\", expect_size=\"36556800\"] \n  36 -> 38 [size =\"36556800\"]\n  36 -> 42 [size =\"36556800\"]\n  37 [size=\"46669824\", alpha=\"0.02\", expect_size=\"23334912\"] \n  37 -> 39 [size =\"23334912\"]\n  37 -> 40 [size =\"23334912\"]\n  37 -> 42 [size =\"23334912\"]\n  38 [size=\"14194688\", alpha=\"0.04\", expect_size=\"7097344\"] \n  38 -> 45 [size =\"7097344\"]\n  38 -> 46 [size =\"7097344\"]\n  38 -> 48 [size =\"7097344\"]\n  39 [size=\"51718144\", alpha=\"0.04\", expect_size=\"25859072\"] \n  39 -> 43 [size =\"25859072\"]\n  40 [size=\"63309824\", alpha=\"0.15\", expect_size=\"31654912\"] \n  40 -> 44 [size =\"31654912\"]\n  40 -> 49 [size =\"31654912\"]\n  41 [size=\"72370176\", alpha=\"0.17\", expect_size=\"36185088\"] \n  41 -> 43 [size =\"36185088\"]\n  41 -> 47 [size =\"36185088\"]\n  41 -> 48 [size =\"36185088\"]\n  41 -> 50 [size =\"36185088\"]\n  42 [size=\"88516608\", alpha=\"0.00\", expect_size=\"44258304\"] \n  42 -> 43 [size =\"44258304\"]\n  42 -> 47 [size =\"44258304\"]\n  43 [size=\"92610560\", alpha=\"0.09\", expect_size=\"46305280\"] \n  44 [size=\"28624896\", alpha=\"0.10\", expect_size=\"14312448\"] \n  45 [size=\"52262912\", alpha=\"0.09\", expect_size=\"26131456\"] \n  46 [size=\"83169280\", alpha=\"0.17\", expect_size=\"41584640\"] \n  47 [size=\"62242816\", alpha=\"0.03\", expect_size=\"31121408\"] \n  48 [size=\"69675008\", alpha=\"0.06\", expect_size=\"34837504\"] \n  49 [size=\"86528000\", alpha=\"0.17\", expect_size=\"43264000\"] \n  50 [size=\"104206336\", alpha=\"0.16\", expect_size=\"52103168\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.899.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88573440\", alpha=\"0.20\", expect_size=\"35429376\"] \n  1 -> 17 [size =\"35429376\"]\n  1 -> 19 [size =\"35429376\"]\n  1 -> 21 [size =\"35429376\"]\n  1 -> 21 [size =\"35429376\"]\n  1 -> 23 [size =\"35429376\"]\n  1 -> 27 [size =\"35429376\"]\n  1 -> 28 [size =\"35429376\"]\n  1 -> 29 [size =\"35429376\"]\n  2 [size=\"125478400\", alpha=\"0.07\", expect_size=\"50191360\"] \n  2 -> 17 [size =\"50191360\"]\n  2 -> 21 [size =\"50191360\"]\n  2 -> 22 [size =\"50191360\"]\n  2 -> 23 [size =\"50191360\"]\n  2 -> 25 [size =\"50191360\"]\n  2 -> 26 [size =\"50191360\"]\n  2 -> 27 [size =\"50191360\"]\n  2 -> 29 [size =\"50191360\"]\n  3 [size=\"39590400\", alpha=\"0.09\", expect_size=\"15836160\"] \n  3 -> 15 [size =\"15836160\"]\n  3 -> 16 [size =\"15836160\"]\n  3 -> 17 [size =\"15836160\"]\n  3 -> 22 [size =\"15836160\"]\n  3 -> 25 [size =\"15836160\"]\n  3 -> 28 [size =\"15836160\"]\n  3 -> 29 [size =\"15836160\"]\n  3 -> 29 [size =\"15836160\"]\n  4 [size=\"98613760\", alpha=\"0.11\", expect_size=\"39445504\"] \n  4 -> 22 [size =\"39445504\"]\n  4 -> 25 [size =\"39445504\"]\n  4 -> 27 [size =\"39445504\"]\n  4 -> 29 [size =\"39445504\"]\n  5 [size=\"27435520\", alpha=\"0.09\", expect_size=\"10974208\"] \n  5 -> 19 [size =\"10974208\"]\n  5 -> 21 [size =\"10974208\"]\n  5 -> 22 [size =\"10974208\"]\n  5 -> 25 [size =\"10974208\"]\n  5 -> 28 [size =\"10974208\"]\n  5 -> 29 [size =\"10974208\"]\n  6 [size=\"112181760\", alpha=\"0.05\", expect_size=\"44872704\"] \n  6 -> 19 [size =\"44872704\"]\n  6 -> 21 [size =\"44872704\"]\n  6 -> 22 [size =\"44872704\"]\n  6 -> 23 [size =\"44872704\"]\n  6 -> 25 [size =\"44872704\"]\n  6 -> 26 [size =\"44872704\"]\n  6 -> 27 [size =\"44872704\"]\n  6 -> 29 [size =\"44872704\"]\n  7 [size=\"31027200\", alpha=\"0.12\", expect_size=\"12410880\"] \n  7 -> 16 [size =\"12410880\"]\n  7 -> 17 [size =\"12410880\"]\n  7 -> 21 [size =\"12410880\"]\n  7 -> 22 [size =\"12410880\"]\n  7 -> 23 [size =\"12410880\"]\n  7 -> 29 [size =\"12410880\"]\n  8 [size=\"126336000\", alpha=\"0.15\", expect_size=\"50534400\"] \n  8 -> 16 [size =\"50534400\"]\n  8 -> 17 [size =\"50534400\"]\n  8 -> 19 [size =\"50534400\"]\n  8 -> 21 [size =\"50534400\"]\n  8 -> 22 [size =\"50534400\"]\n  8 -> 23 [size =\"50534400\"]\n  8 -> 26 [size =\"50534400\"]\n  8 -> 27 [size =\"50534400\"]\n  8 -> 29 [size =\"50534400\"]\n  9 [size=\"91553280\", alpha=\"0.19\", expect_size=\"36621312\"] \n  9 -> 17 [size =\"36621312\"]\n  9 -> 19 [size =\"36621312\"]\n  9 -> 21 [size =\"36621312\"]\n  9 -> 21 [size =\"36621312\"]\n  9 -> 22 [size =\"36621312\"]\n  9 -> 23 [size =\"36621312\"]\n  9 -> 24 [size =\"36621312\"]\n  9 -> 25 [size =\"36621312\"]\n  9 -> 27 [size =\"36621312\"]\n  9 -> 29 [size =\"36621312\"]\n  10 [size=\"18739200\", alpha=\"0.17\", expect_size=\"7495680\"] \n  10 -> 16 [size =\"7495680\"]\n  10 -> 21 [size =\"7495680\"]\n  10 -> 22 [size =\"7495680\"]\n  10 -> 23 [size =\"7495680\"]\n  10 -> 26 [size =\"7495680\"]\n  10 -> 28 [size =\"7495680\"]\n  10 -> 29 [size =\"7495680\"]\n  11 [size=\"101788160\", alpha=\"0.04\", expect_size=\"40715264\"] \n  11 -> 16 [size =\"40715264\"]\n  11 -> 22 [size =\"40715264\"]\n  11 -> 23 [size =\"40715264\"]\n  11 -> 24 [size =\"40715264\"]\n  11 -> 26 [size =\"40715264\"]\n  11 -> 27 [size =\"40715264\"]\n  11 -> 28 [size =\"40715264\"]\n  12 [size=\"100805120\", alpha=\"0.17\", expect_size=\"40322048\"] \n  12 -> 16 [size =\"40322048\"]\n  12 -> 22 [size =\"40322048\"]\n  12 -> 23 [size =\"40322048\"]\n  12 -> 24 [size =\"40322048\"]\n  13 [size=\"21404160\", alpha=\"0.16\", expect_size=\"8561664\"] \n  13 -> 16 [size =\"8561664\"]\n  13 -> 20 [size =\"8561664\"]\n  13 -> 23 [size =\"8561664\"]\n  13 -> 24 [size =\"8561664\"]\n  13 -> 27 [size =\"8561664\"]\n  13 -> 29 [size =\"8561664\"]\n  14 [size=\"74485760\", alpha=\"0.03\", expect_size=\"29794304\"] \n  14 -> 17 [size =\"29794304\"]\n  14 -> 18 [size =\"29794304\"]\n  14 -> 19 [size =\"29794304\"]\n  14 -> 21 [size =\"29794304\"]\n  14 -> 23 [size =\"29794304\"]\n  14 -> 24 [size =\"29794304\"]\n  14 -> 26 [size =\"29794304\"]\n  14 -> 27 [size =\"29794304\"]\n  15 [size=\"18654720\", alpha=\"0.02\", expect_size=\"7461888\"] \n  15 -> 30 [size =\"7461888\"]\n  15 -> 31 [size =\"7461888\"]\n  15 -> 33 [size =\"7461888\"]\n  15 -> 35 [size =\"7461888\"]\n  15 -> 38 [size =\"7461888\"]\n  15 -> 40 [size =\"7461888\"]\n  15 -> 41 [size =\"7461888\"]\n  15 -> 45 [size =\"7461888\"]\n  16 [size=\"72250880\", alpha=\"0.19\", expect_size=\"28900352\"] \n  16 -> 31 [size =\"28900352\"]\n  16 -> 31 [size =\"28900352\"]\n  16 -> 32 [size =\"28900352\"]\n  16 -> 38 [size =\"28900352\"]\n  16 -> 38 [size =\"28900352\"]\n  16 -> 39 [size =\"28900352\"]\n  16 -> 40 [size =\"28900352\"]\n  16 -> 43 [size =\"28900352\"]\n  16 -> 45 [size =\"28900352\"]\n  17 [size=\"100618240\", alpha=\"0.12\", expect_size=\"40247296\"] \n  17 -> 31 [size =\"40247296\"]\n  17 -> 35 [size =\"40247296\"]\n  17 -> 38 [size =\"40247296\"]\n  17 -> 38 [size =\"40247296\"]\n  17 -> 39 [size =\"40247296\"]\n  17 -> 39 [size =\"40247296\"]\n  17 -> 40 [size =\"40247296\"]\n  17 -> 41 [size =\"40247296\"]\n  17 -> 45 [size =\"40247296\"]\n  18 [size=\"51235840\", alpha=\"0.13\", expect_size=\"20494336\"] \n  18 -> 30 [size =\"20494336\"]\n  18 -> 31 [size =\"20494336\"]\n  18 -> 32 [size =\"20494336\"]\n  18 -> 34 [size =\"20494336\"]\n  18 -> 35 [size =\"20494336\"]\n  18 -> 36 [size =\"20494336\"]\n  18 -> 39 [size =\"20494336\"]\n  18 -> 40 [size =\"20494336\"]\n  18 -> 41 [size =\"20494336\"]\n  18 -> 45 [size =\"20494336\"]\n  19 [size=\"20651520\", alpha=\"0.02\", expect_size=\"8260608\"] \n  19 -> 30 [size =\"8260608\"]\n  19 -> 31 [size =\"8260608\"]\n  19 -> 32 [size =\"8260608\"]\n  19 -> 34 [size =\"8260608\"]\n  19 -> 35 [size =\"8260608\"]\n  19 -> 36 [size =\"8260608\"]\n  19 -> 37 [size =\"8260608\"]\n  19 -> 38 [size =\"8260608\"]\n  19 -> 40 [size =\"8260608\"]\n  19 -> 42 [size =\"8260608\"]\n  19 -> 43 [size =\"8260608\"]\n  20 [size=\"15116800\", alpha=\"0.02\", expect_size=\"6046720\"] \n  20 -> 32 [size =\"6046720\"]\n  20 -> 34 [size =\"6046720\"]\n  20 -> 35 [size =\"6046720\"]\n  20 -> 36 [size =\"6046720\"]\n  20 -> 38 [size =\"6046720\"]\n  20 -> 39 [size =\"6046720\"]\n  20 -> 40 [size =\"6046720\"]\n  20 -> 41 [size =\"6046720\"]\n  20 -> 43 [size =\"6046720\"]\n  20 -> 44 [size =\"6046720\"]\n  20 -> 45 [size =\"6046720\"]\n  21 [size=\"112785920\", alpha=\"0.14\", expect_size=\"45114368\"] \n  21 -> 32 [size =\"45114368\"]\n  21 -> 34 [size =\"45114368\"]\n  21 -> 35 [size =\"45114368\"]\n  21 -> 36 [size =\"45114368\"]\n  21 -> 38 [size =\"45114368\"]\n  21 -> 40 [size =\"45114368\"]\n  21 -> 44 [size =\"45114368\"]\n  22 [size=\"18076160\", alpha=\"0.05\", expect_size=\"7230464\"] \n  22 -> 32 [size =\"7230464\"]\n  22 -> 33 [size =\"7230464\"]\n  22 -> 34 [size =\"7230464\"]\n  22 -> 35 [size =\"7230464\"]\n  22 -> 38 [size =\"7230464\"]\n  22 -> 39 [size =\"7230464\"]\n  22 -> 41 [size =\"7230464\"]\n  22 -> 43 [size =\"7230464\"]\n  22 -> 44 [size =\"7230464\"]\n  22 -> 45 [size =\"7230464\"]\n  23 [size=\"115532800\", alpha=\"0.01\", expect_size=\"46213120\"] \n  23 -> 30 [size =\"46213120\"]\n  23 -> 32 [size =\"46213120\"]\n  23 -> 33 [size =\"46213120\"]\n  23 -> 34 [size =\"46213120\"]\n  23 -> 35 [size =\"46213120\"]\n  23 -> 37 [size =\"46213120\"]\n  23 -> 40 [size =\"46213120\"]\n  23 -> 41 [size =\"46213120\"]\n  23 -> 44 [size =\"46213120\"]\n  23 -> 45 [size =\"46213120\"]\n  24 [size=\"93278720\", alpha=\"0.12\", expect_size=\"37311488\"] \n  24 -> 32 [size =\"37311488\"]\n  24 -> 32 [size =\"37311488\"]\n  24 -> 33 [size =\"37311488\"]\n  24 -> 34 [size =\"37311488\"]\n  24 -> 35 [size =\"37311488\"]\n  24 -> 36 [size =\"37311488\"]\n  24 -> 39 [size =\"37311488\"]\n  24 -> 41 [size =\"37311488\"]\n  24 -> 44 [size =\"37311488\"]\n  24 -> 45 [size =\"37311488\"]\n  25 [size=\"109949440\", alpha=\"0.04\", expect_size=\"43979776\"] \n  25 -> 31 [size =\"43979776\"]\n  25 -> 32 [size =\"43979776\"]\n  25 -> 33 [size =\"43979776\"]\n  25 -> 34 [size =\"43979776\"]\n  25 -> 35 [size =\"43979776\"]\n  25 -> 36 [size =\"43979776\"]\n  25 -> 37 [size =\"43979776\"]\n  25 -> 39 [size =\"43979776\"]\n  25 -> 41 [size =\"43979776\"]\n  25 -> 44 [size =\"43979776\"]\n  26 [size=\"123916800\", alpha=\"0.14\", expect_size=\"49566720\"] \n  26 -> 31 [size =\"49566720\"]\n  26 -> 32 [size =\"49566720\"]\n  26 -> 33 [size =\"49566720\"]\n  26 -> 34 [size =\"49566720\"]\n  26 -> 35 [size =\"49566720\"]\n  26 -> 39 [size =\"49566720\"]\n  26 -> 41 [size =\"49566720\"]\n  26 -> 42 [size =\"49566720\"]\n  26 -> 43 [size =\"49566720\"]\n  26 -> 44 [size =\"49566720\"]\n  27 [size=\"118988800\", alpha=\"0.07\", expect_size=\"47595520\"] \n  27 -> 32 [size =\"47595520\"]\n  27 -> 33 [size =\"47595520\"]\n  27 -> 34 [size =\"47595520\"]\n  27 -> 34 [size =\"47595520\"]\n  27 -> 36 [size =\"47595520\"]\n  27 -> 37 [size =\"47595520\"]\n  27 -> 38 [size =\"47595520\"]\n  27 -> 43 [size =\"47595520\"]\n  27 -> 43 [size =\"47595520\"]\n  27 -> 44 [size =\"47595520\"]\n  28 [size=\"73525760\", alpha=\"0.19\", expect_size=\"29410304\"] \n  28 -> 32 [size =\"29410304\"]\n  28 -> 33 [size =\"29410304\"]\n  28 -> 36 [size =\"29410304\"]\n  28 -> 37 [size =\"29410304\"]\n  28 -> 38 [size =\"29410304\"]\n  28 -> 42 [size =\"29410304\"]\n  28 -> 44 [size =\"29410304\"]\n  29 [size=\"31759360\", alpha=\"0.04\", expect_size=\"12703744\"] \n  29 -> 33 [size =\"12703744\"]\n  29 -> 34 [size =\"12703744\"]\n  29 -> 36 [size =\"12703744\"]\n  29 -> 39 [size =\"12703744\"]\n  29 -> 40 [size =\"12703744\"]\n  29 -> 42 [size =\"12703744\"]\n  29 -> 43 [size =\"12703744\"]\n  29 -> 44 [size =\"12703744\"]\n  29 -> 45 [size =\"12703744\"]\n  30 [size=\"45004800\", alpha=\"0.10\", expect_size=\"18001920\"] \n  30 -> 47 [size =\"18001920\"]\n  30 -> 48 [size =\"18001920\"]\n  30 -> 48 [size =\"18001920\"]\n  30 -> 49 [size =\"18001920\"]\n  30 -> 50 [size =\"18001920\"]\n  31 [size=\"55470080\", alpha=\"0.11\", expect_size=\"22188032\"] \n  31 -> 49 [size =\"22188032\"]\n  31 -> 50 [size =\"22188032\"]\n  32 [size=\"20656640\", alpha=\"0.07\", expect_size=\"8262656\"] \n  32 -> 46 [size =\"8262656\"]\n  32 -> 47 [size =\"8262656\"]\n  32 -> 49 [size =\"8262656\"]\n  33 [size=\"52938240\", alpha=\"0.04\", expect_size=\"21175296\"] \n  33 -> 47 [size =\"21175296\"]\n  33 -> 48 [size =\"21175296\"]\n  33 -> 49 [size =\"21175296\"]\n  33 -> 50 [size =\"21175296\"]\n  34 [size=\"60835840\", alpha=\"0.12\", expect_size=\"24334336\"] \n  34 -> 48 [size =\"24334336\"]\n  34 -> 49 [size =\"24334336\"]\n  35 [size=\"129853440\", alpha=\"0.01\", expect_size=\"51941376\"] \n  35 -> 47 [size =\"51941376\"]\n  35 -> 49 [size =\"51941376\"]\n  36 [size=\"38397440\", alpha=\"0.20\", expect_size=\"15358976\"] \n  36 -> 47 [size =\"15358976\"]\n  36 -> 49 [size =\"15358976\"]\n  37 [size=\"121466880\", alpha=\"0.13\", expect_size=\"48586752\"] \n  37 -> 46 [size =\"48586752\"]\n  37 -> 47 [size =\"48586752\"]\n  37 -> 48 [size =\"48586752\"]\n  37 -> 49 [size =\"48586752\"]\n  38 [size=\"43092480\", alpha=\"0.13\", expect_size=\"17236992\"] \n  38 -> 47 [size =\"17236992\"]\n  38 -> 49 [size =\"17236992\"]\n  38 -> 50 [size =\"17236992\"]\n  39 [size=\"34467840\", alpha=\"0.15\", expect_size=\"13787136\"] \n  39 -> 47 [size =\"13787136\"]\n  39 -> 48 [size =\"13787136\"]\n  39 -> 49 [size =\"13787136\"]\n  40 [size=\"56076800\", alpha=\"0.16\", expect_size=\"22430720\"] \n  40 -> 47 [size =\"22430720\"]\n  40 -> 48 [size =\"22430720\"]\n  41 [size=\"113551360\", alpha=\"0.15\", expect_size=\"45420544\"] \n  41 -> 48 [size =\"45420544\"]\n  41 -> 48 [size =\"45420544\"]\n  41 -> 50 [size =\"45420544\"]\n  42 [size=\"59642880\", alpha=\"0.14\", expect_size=\"23857152\"] \n  42 -> 46 [size =\"23857152\"]\n  42 -> 47 [size =\"23857152\"]\n  42 -> 48 [size =\"23857152\"]\n  42 -> 49 [size =\"23857152\"]\n  42 -> 50 [size =\"23857152\"]\n  43 [size=\"100019200\", alpha=\"0.11\", expect_size=\"40007680\"] \n  43 -> 49 [size =\"40007680\"]\n  43 -> 50 [size =\"40007680\"]\n  44 [size=\"125012480\", alpha=\"0.01\", expect_size=\"50004992\"] \n  44 -> 49 [size =\"50004992\"]\n  44 -> 50 [size =\"50004992\"]\n  45 [size=\"78039040\", alpha=\"0.08\", expect_size=\"31215616\"] \n  45 -> 46 [size =\"31215616\"]\n  45 -> 47 [size =\"31215616\"]\n  45 -> 48 [size =\"31215616\"]\n  45 -> 49 [size =\"31215616\"]\n  45 -> 50 [size =\"31215616\"]\n  46 [size=\"82611200\", alpha=\"0.14\", expect_size=\"33044480\"] \n  47 [size=\"79912960\", alpha=\"0.17\", expect_size=\"31965184\"] \n  48 [size=\"39485440\", alpha=\"0.11\", expect_size=\"15794176\"] \n  49 [size=\"117429760\", alpha=\"0.08\", expect_size=\"46971904\"] \n  50 [size=\"85355520\", alpha=\"0.11\", expect_size=\"34142208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164160853\", alpha=\"0.13\", expect_size=\"49248256\"] \n  1 -> 17 [size =\"49248256\"]\n  1 -> 18 [size =\"49248256\"]\n  1 -> 21 [size =\"49248256\"]\n  1 -> 21 [size =\"49248256\"]\n  1 -> 23 [size =\"49248256\"]\n  1 -> 24 [size =\"49248256\"]\n  1 -> 26 [size =\"49248256\"]\n  1 -> 27 [size =\"49248256\"]\n  1 -> 29 [size =\"49248256\"]\n  2 [size=\"87405227\", alpha=\"0.04\", expect_size=\"26221568\"] \n  2 -> 19 [size =\"26221568\"]\n  2 -> 20 [size =\"26221568\"]\n  2 -> 21 [size =\"26221568\"]\n  2 -> 22 [size =\"26221568\"]\n  2 -> 26 [size =\"26221568\"]\n  2 -> 28 [size =\"26221568\"]\n  3 [size=\"142042453\", alpha=\"0.11\", expect_size=\"42612736\"] \n  3 -> 19 [size =\"42612736\"]\n  3 -> 21 [size =\"42612736\"]\n  3 -> 23 [size =\"42612736\"]\n  3 -> 26 [size =\"42612736\"]\n  3 -> 28 [size =\"42612736\"]\n  4 [size=\"61846187\", alpha=\"0.04\", expect_size=\"18553856\"] \n  4 -> 18 [size =\"18553856\"]\n  4 -> 19 [size =\"18553856\"]\n  4 -> 22 [size =\"18553856\"]\n  4 -> 23 [size =\"18553856\"]\n  4 -> 26 [size =\"18553856\"]\n  4 -> 27 [size =\"18553856\"]\n  4 -> 29 [size =\"18553856\"]\n  5 [size=\"51623253\", alpha=\"0.16\", expect_size=\"15486976\"] \n  5 -> 17 [size =\"15486976\"]\n  5 -> 19 [size =\"15486976\"]\n  5 -> 22 [size =\"15486976\"]\n  5 -> 23 [size =\"15486976\"]\n  5 -> 25 [size =\"15486976\"]\n  5 -> 27 [size =\"15486976\"]\n  5 -> 29 [size =\"15486976\"]\n  6 [size=\"107448320\", alpha=\"0.13\", expect_size=\"32234496\"] \n  6 -> 18 [size =\"32234496\"]\n  6 -> 20 [size =\"32234496\"]\n  6 -> 23 [size =\"32234496\"]\n  6 -> 26 [size =\"32234496\"]\n  6 -> 27 [size =\"32234496\"]\n  6 -> 29 [size =\"32234496\"]\n  7 [size=\"139161600\", alpha=\"0.16\", expect_size=\"41748480\"] \n  7 -> 18 [size =\"41748480\"]\n  7 -> 22 [size =\"41748480\"]\n  7 -> 23 [size =\"41748480\"]\n  7 -> 26 [size =\"41748480\"]\n  7 -> 27 [size =\"41748480\"]\n  7 -> 29 [size =\"41748480\"]\n  8 [size=\"170475520\", alpha=\"0.05\", expect_size=\"51142656\"] \n  8 -> 18 [size =\"51142656\"]\n  8 -> 19 [size =\"51142656\"]\n  8 -> 21 [size =\"51142656\"]\n  8 -> 23 [size =\"51142656\"]\n  8 -> 24 [size =\"51142656\"]\n  8 -> 26 [size =\"51142656\"]\n  9 [size=\"80339627\", alpha=\"0.11\", expect_size=\"24101888\"] \n  9 -> 18 [size =\"24101888\"]\n  9 -> 19 [size =\"24101888\"]\n  9 -> 22 [size =\"24101888\"]\n  9 -> 23 [size =\"24101888\"]\n  9 -> 24 [size =\"24101888\"]\n  9 -> 26 [size =\"24101888\"]\n  9 -> 28 [size =\"24101888\"]\n  10 [size=\"58439680\", alpha=\"0.01\", expect_size=\"17531904\"] \n  10 -> 18 [size =\"17531904\"]\n  10 -> 19 [size =\"17531904\"]\n  10 -> 21 [size =\"17531904\"]\n  10 -> 22 [size =\"17531904\"]\n  11 [size=\"99584000\", alpha=\"0.18\", expect_size=\"29875200\"] \n  11 -> 18 [size =\"29875200\"]\n  11 -> 19 [size =\"29875200\"]\n  11 -> 20 [size =\"29875200\"]\n  11 -> 22 [size =\"29875200\"]\n  11 -> 23 [size =\"29875200\"]\n  12 [size=\"41594880\", alpha=\"0.07\", expect_size=\"12478464\"] \n  12 -> 20 [size =\"12478464\"]\n  12 -> 22 [size =\"12478464\"]\n  12 -> 23 [size =\"12478464\"]\n  12 -> 28 [size =\"12478464\"]\n  13 [size=\"71703893\", alpha=\"0.11\", expect_size=\"21511168\"] \n  13 -> 18 [size =\"21511168\"]\n  13 -> 23 [size =\"21511168\"]\n  13 -> 26 [size =\"21511168\"]\n  13 -> 27 [size =\"21511168\"]\n  14 [size=\"155569493\", alpha=\"0.07\", expect_size=\"46670848\"] \n  14 -> 18 [size =\"46670848\"]\n  14 -> 19 [size =\"46670848\"]\n  14 -> 21 [size =\"46670848\"]\n  14 -> 22 [size =\"46670848\"]\n  14 -> 28 [size =\"46670848\"]\n  15 [size=\"28286293\", alpha=\"0.05\", expect_size=\"8485888\"] \n  15 -> 18 [size =\"8485888\"]\n  15 -> 20 [size =\"8485888\"]\n  15 -> 21 [size =\"8485888\"]\n  15 -> 26 [size =\"8485888\"]\n  16 [size=\"152337067\", alpha=\"0.12\", expect_size=\"45701120\"] \n  16 -> 18 [size =\"45701120\"]\n  16 -> 19 [size =\"45701120\"]\n  16 -> 20 [size =\"45701120\"]\n  16 -> 21 [size =\"45701120\"]\n  16 -> 23 [size =\"45701120\"]\n  16 -> 24 [size =\"45701120\"]\n  16 -> 26 [size =\"45701120\"]\n  16 -> 28 [size =\"45701120\"]\n  17 [size=\"94952107\", alpha=\"0.09\", expect_size=\"28485632\"] \n  17 -> 31 [size =\"28485632\"]\n  17 -> 32 [size =\"28485632\"]\n  17 -> 33 [size =\"28485632\"]\n  17 -> 34 [size =\"28485632\"]\n  17 -> 37 [size =\"28485632\"]\n  17 -> 39 [size =\"28485632\"]\n  17 -> 44 [size =\"28485632\"]\n  18 [size=\"66655573\", alpha=\"0.06\", expect_size=\"19996672\"] \n  18 -> 31 [size =\"19996672\"]\n  18 -> 34 [size =\"19996672\"]\n  18 -> 39 [size =\"19996672\"]\n  18 -> 43 [size =\"19996672\"]\n  19 [size=\"105373013\", alpha=\"0.01\", expect_size=\"31611904\"] \n  19 -> 31 [size =\"31611904\"]\n  19 -> 33 [size =\"31611904\"]\n  19 -> 34 [size =\"31611904\"]\n  19 -> 36 [size =\"31611904\"]\n  19 -> 37 [size =\"31611904\"]\n  19 -> 39 [size =\"31611904\"]\n  19 -> 41 [size =\"31611904\"]\n  19 -> 42 [size =\"31611904\"]\n  20 [size=\"32409600\", alpha=\"0.18\", expect_size=\"9722880\"] \n  20 -> 33 [size =\"9722880\"]\n  20 -> 35 [size =\"9722880\"]\n  20 -> 37 [size =\"9722880\"]\n  20 -> 39 [size =\"9722880\"]\n  20 -> 41 [size =\"9722880\"]\n  20 -> 42 [size =\"9722880\"]\n  20 -> 43 [size =\"9722880\"]\n  21 [size=\"41110187\", alpha=\"0.14\", expect_size=\"12333056\"] \n  21 -> 31 [size =\"12333056\"]\n  21 -> 33 [size =\"12333056\"]\n  21 -> 34 [size =\"12333056\"]\n  21 -> 36 [size =\"12333056\"]\n  21 -> 39 [size =\"12333056\"]\n  21 -> 41 [size =\"12333056\"]\n  21 -> 42 [size =\"12333056\"]\n  22 [size=\"24999253\", alpha=\"0.19\", expect_size=\"7499776\"] \n  22 -> 30 [size =\"7499776\"]\n  22 -> 31 [size =\"7499776\"]\n  22 -> 32 [size =\"7499776\"]\n  22 -> 33 [size =\"7499776\"]\n  22 -> 35 [size =\"7499776\"]\n  22 -> 37 [size =\"7499776\"]\n  22 -> 39 [size =\"7499776\"]\n  22 -> 40 [size =\"7499776\"]\n  22 -> 44 [size =\"7499776\"]\n  23 [size=\"83889493\", alpha=\"0.19\", expect_size=\"25166848\"] \n  23 -> 31 [size =\"25166848\"]\n  23 -> 31 [size =\"25166848\"]\n  23 -> 32 [size =\"25166848\"]\n  23 -> 33 [size =\"25166848\"]\n  23 -> 34 [size =\"25166848\"]\n  23 -> 35 [size =\"25166848\"]\n  23 -> 37 [size =\"25166848\"]\n  23 -> 39 [size =\"25166848\"]\n  23 -> 44 [size =\"25166848\"]\n  24 [size=\"168157867\", alpha=\"0.06\", expect_size=\"50447360\"] \n  24 -> 31 [size =\"50447360\"]\n  24 -> 33 [size =\"50447360\"]\n  24 -> 36 [size =\"50447360\"]\n  24 -> 37 [size =\"50447360\"]\n  24 -> 39 [size =\"50447360\"]\n  24 -> 41 [size =\"50447360\"]\n  24 -> 42 [size =\"50447360\"]\n  24 -> 44 [size =\"50447360\"]\n  24 -> 44 [size =\"50447360\"]\n  25 [size=\"69249707\", alpha=\"0.16\", expect_size=\"20774912\"] \n  25 -> 31 [size =\"20774912\"]\n  25 -> 32 [size =\"20774912\"]\n  25 -> 33 [size =\"20774912\"]\n  25 -> 36 [size =\"20774912\"]\n  25 -> 37 [size =\"20774912\"]\n  25 -> 39 [size =\"20774912\"]\n  25 -> 40 [size =\"20774912\"]\n  25 -> 41 [size =\"20774912\"]\n  25 -> 42 [size =\"20774912\"]\n  25 -> 43 [size =\"20774912\"]\n  26 [size=\"108748800\", alpha=\"0.18\", expect_size=\"32624640\"] \n  26 -> 30 [size =\"32624640\"]\n  26 -> 31 [size =\"32624640\"]\n  26 -> 32 [size =\"32624640\"]\n  26 -> 34 [size =\"32624640\"]\n  26 -> 35 [size =\"32624640\"]\n  26 -> 39 [size =\"32624640\"]\n  26 -> 40 [size =\"32624640\"]\n  26 -> 41 [size =\"32624640\"]\n  26 -> 42 [size =\"32624640\"]\n  26 -> 43 [size =\"32624640\"]\n  27 [size=\"43871573\", alpha=\"0.16\", expect_size=\"13161472\"] \n  27 -> 31 [size =\"13161472\"]\n  27 -> 32 [size =\"13161472\"]\n  27 -> 32 [size =\"13161472\"]\n  27 -> 33 [size =\"13161472\"]\n  27 -> 35 [size =\"13161472\"]\n  27 -> 37 [size =\"13161472\"]\n  27 -> 41 [size =\"13161472\"]\n  27 -> 41 [size =\"13161472\"]\n  27 -> 42 [size =\"13161472\"]\n  27 -> 43 [size =\"13161472\"]\n  28 [size=\"116971520\", alpha=\"0.13\", expect_size=\"35091456\"] \n  28 -> 32 [size =\"35091456\"]\n  28 -> 32 [size =\"35091456\"]\n  28 -> 35 [size =\"35091456\"]\n  28 -> 37 [size =\"35091456\"]\n  28 -> 38 [size =\"35091456\"]\n  28 -> 39 [size =\"35091456\"]\n  28 -> 42 [size =\"35091456\"]\n  28 -> 43 [size =\"35091456\"]\n  29 [size=\"163263147\", alpha=\"0.17\", expect_size=\"48978944\"] \n  29 -> 31 [size =\"48978944\"]\n  29 -> 32 [size =\"48978944\"]\n  29 -> 33 [size =\"48978944\"]\n  29 -> 35 [size =\"48978944\"]\n  29 -> 37 [size =\"48978944\"]\n  29 -> 41 [size =\"48978944\"]\n  29 -> 43 [size =\"48978944\"]\n  30 [size=\"170280960\", alpha=\"0.08\", expect_size=\"51084288\"] \n  30 -> 46 [size =\"51084288\"]\n  30 -> 48 [size =\"51084288\"]\n  30 -> 50 [size =\"51084288\"]\n  30 -> 50 [size =\"51084288\"]\n  31 [size=\"155303253\", alpha=\"0.08\", expect_size=\"46590976\"] \n  31 -> 49 [size =\"46590976\"]\n  31 -> 50 [size =\"46590976\"]\n  32 [size=\"107731627\", alpha=\"0.12\", expect_size=\"32319488\"] \n  32 -> 45 [size =\"32319488\"]\n  32 -> 46 [size =\"32319488\"]\n  32 -> 48 [size =\"32319488\"]\n  32 -> 49 [size =\"32319488\"]\n  33 [size=\"97491627\", alpha=\"0.02\", expect_size=\"29247488\"] \n  33 -> 46 [size =\"29247488\"]\n  33 -> 47 [size =\"29247488\"]\n  33 -> 49 [size =\"29247488\"]\n  33 -> 50 [size =\"29247488\"]\n  34 [size=\"91869867\", alpha=\"0.10\", expect_size=\"27560960\"] \n  34 -> 46 [size =\"27560960\"]\n  34 -> 47 [size =\"27560960\"]\n  34 -> 48 [size =\"27560960\"]\n  34 -> 49 [size =\"27560960\"]\n  34 -> 50 [size =\"27560960\"]\n  35 [size=\"135236267\", alpha=\"0.20\", expect_size=\"40570880\"] \n  35 -> 46 [size =\"40570880\"]\n  35 -> 50 [size =\"40570880\"]\n  36 [size=\"104451413\", alpha=\"0.07\", expect_size=\"31335424\"] \n  36 -> 46 [size =\"31335424\"]\n  36 -> 48 [size =\"31335424\"]\n  36 -> 49 [size =\"31335424\"]\n  36 -> 50 [size =\"31335424\"]\n  37 [size=\"89494187\", alpha=\"0.03\", expect_size=\"26848256\"] \n  37 -> 46 [size =\"26848256\"]\n  37 -> 49 [size =\"26848256\"]\n  37 -> 50 [size =\"26848256\"]\n  38 [size=\"54763520\", alpha=\"0.06\", expect_size=\"16429056\"] \n  38 -> 46 [size =\"16429056\"]\n  38 -> 49 [size =\"16429056\"]\n  39 [size=\"153262080\", alpha=\"0.20\", expect_size=\"45978624\"] \n  39 -> 46 [size =\"45978624\"]\n  39 -> 48 [size =\"45978624\"]\n  39 -> 49 [size =\"45978624\"]\n  40 [size=\"133280427\", alpha=\"0.16\", expect_size=\"39984128\"] \n  40 -> 46 [size =\"39984128\"]\n  40 -> 50 [size =\"39984128\"]\n  41 [size=\"35785387\", alpha=\"0.14\", expect_size=\"10735616\"] \n  41 -> 46 [size =\"10735616\"]\n  41 -> 48 [size =\"10735616\"]\n  42 [size=\"100171093\", alpha=\"0.14\", expect_size=\"30051328\"] \n  42 -> 45 [size =\"30051328\"]\n  42 -> 46 [size =\"30051328\"]\n  42 -> 49 [size =\"30051328\"]\n  42 -> 50 [size =\"30051328\"]\n  43 [size=\"35979947\", alpha=\"0.02\", expect_size=\"10793984\"] \n  43 -> 46 [size =\"10793984\"]\n  43 -> 50 [size =\"10793984\"]\n  44 [size=\"54736213\", alpha=\"0.10\", expect_size=\"16420864\"] \n  44 -> 46 [size =\"16420864\"]\n  44 -> 48 [size =\"16420864\"]\n  44 -> 49 [size =\"16420864\"]\n  44 -> 50 [size =\"16420864\"]\n  45 [size=\"137243307\", alpha=\"0.04\", expect_size=\"41172992\"] \n  46 [size=\"137028267\", alpha=\"0.09\", expect_size=\"41108480\"] \n  47 [size=\"31665493\", alpha=\"0.18\", expect_size=\"9499648\"] \n  48 [size=\"55917227\", alpha=\"0.20\", expect_size=\"16775168\"] \n  49 [size=\"101686613\", alpha=\"0.20\", expect_size=\"30505984\"] \n  50 [size=\"99573760\", alpha=\"0.19\", expect_size=\"29872128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101617664\", alpha=\"0.16\", expect_size=\"50808832\"] \n  1 -> 11 [size =\"50808832\"]\n  1 -> 12 [size =\"50808832\"]\n  2 [size=\"47167488\", alpha=\"0.13\", expect_size=\"23583744\"] \n  2 -> 7 [size =\"23583744\"]\n  2 -> 8 [size =\"23583744\"]\n  2 -> 10 [size =\"23583744\"]\n  2 -> 11 [size =\"23583744\"]\n  3 [size=\"102610944\", alpha=\"0.03\", expect_size=\"51305472\"] \n  3 -> 7 [size =\"51305472\"]\n  3 -> 9 [size =\"51305472\"]\n  4 [size=\"28698624\", alpha=\"0.16\", expect_size=\"14349312\"] \n  4 -> 7 [size =\"14349312\"]\n  4 -> 8 [size =\"14349312\"]\n  4 -> 10 [size =\"14349312\"]\n  4 -> 11 [size =\"14349312\"]\n  4 -> 12 [size =\"14349312\"]\n  5 [size=\"63461376\", alpha=\"0.13\", expect_size=\"31730688\"] \n  5 -> 9 [size =\"31730688\"]\n  5 -> 10 [size =\"31730688\"]\n  5 -> 10 [size =\"31730688\"]\n  5 -> 11 [size =\"31730688\"]\n  5 -> 12 [size =\"31730688\"]\n  6 [size=\"10647552\", alpha=\"0.13\", expect_size=\"5323776\"] \n  6 -> 7 [size =\"5323776\"]\n  6 -> 9 [size =\"5323776\"]\n  7 [size=\"87379968\", alpha=\"0.18\", expect_size=\"43689984\"] \n  7 -> 13 [size =\"43689984\"]\n  7 -> 15 [size =\"43689984\"]\n  7 -> 17 [size =\"43689984\"]\n  8 [size=\"66643968\", alpha=\"0.06\", expect_size=\"33321984\"] \n  8 -> 16 [size =\"33321984\"]\n  8 -> 18 [size =\"33321984\"]\n  9 [size=\"69165056\", alpha=\"0.09\", expect_size=\"34582528\"] \n  9 -> 13 [size =\"34582528\"]\n  9 -> 14 [size =\"34582528\"]\n  9 -> 15 [size =\"34582528\"]\n  9 -> 16 [size =\"34582528\"]\n  10 [size=\"44959744\", alpha=\"0.11\", expect_size=\"22479872\"] \n  10 -> 14 [size =\"22479872\"]\n  10 -> 16 [size =\"22479872\"]\n  10 -> 17 [size =\"22479872\"]\n  10 -> 18 [size =\"22479872\"]\n  11 [size=\"67260416\", alpha=\"0.19\", expect_size=\"33630208\"] \n  11 -> 17 [size =\"33630208\"]\n  12 [size=\"50577408\", alpha=\"0.10\", expect_size=\"25288704\"] \n  12 -> 13 [size =\"25288704\"]\n  12 -> 14 [size =\"25288704\"]\n  12 -> 15 [size =\"25288704\"]\n  12 -> 17 [size =\"25288704\"]\n  12 -> 18 [size =\"25288704\"]\n  13 [size=\"19165184\", alpha=\"0.03\", expect_size=\"9582592\"] \n  13 -> 19 [size =\"9582592\"]\n  13 -> 21 [size =\"9582592\"]\n  13 -> 24 [size =\"9582592\"]\n  14 [size=\"32036864\", alpha=\"0.15\", expect_size=\"16018432\"] \n  15 [size=\"12353536\", alpha=\"0.03\", expect_size=\"6176768\"] \n  16 [size=\"72153088\", alpha=\"0.14\", expect_size=\"36076544\"] \n  16 -> 21 [size =\"36076544\"]\n  16 -> 22 [size =\"36076544\"]\n  16 -> 23 [size =\"36076544\"]\n  17 [size=\"36978688\", alpha=\"0.13\", expect_size=\"18489344\"] \n  17 -> 19 [size =\"18489344\"]\n  17 -> 20 [size =\"18489344\"]\n  18 [size=\"27385856\", alpha=\"0.10\", expect_size=\"13692928\"] \n  18 -> 19 [size =\"13692928\"]\n  18 -> 21 [size =\"13692928\"]\n  18 -> 22 [size =\"13692928\"]\n  19 [size=\"57059328\", alpha=\"0.08\", expect_size=\"28529664\"] \n  19 -> 26 [size =\"28529664\"]\n  19 -> 27 [size =\"28529664\"]\n  19 -> 29 [size =\"28529664\"]\n  20 [size=\"97730560\", alpha=\"0.19\", expect_size=\"48865280\"] \n  20 -> 26 [size =\"48865280\"]\n  20 -> 28 [size =\"48865280\"]\n  20 -> 31 [size =\"48865280\"]\n  21 [size=\"54757376\", alpha=\"0.08\", expect_size=\"27378688\"] \n  21 -> 28 [size =\"27378688\"]\n  21 -> 29 [size =\"27378688\"]\n  22 [size=\"50020352\", alpha=\"0.06\", expect_size=\"25010176\"] \n  22 -> 25 [size =\"25010176\"]\n  22 -> 28 [size =\"25010176\"]\n  22 -> 29 [size =\"25010176\"]\n  22 -> 30 [size =\"25010176\"]\n  22 -> 31 [size =\"25010176\"]\n  23 [size=\"96481280\", alpha=\"0.03\", expect_size=\"48240640\"] \n  23 -> 26 [size =\"48240640\"]\n  23 -> 30 [size =\"48240640\"]\n  23 -> 31 [size =\"48240640\"]\n  24 [size=\"15495168\", alpha=\"0.04\", expect_size=\"7747584\"] \n  24 -> 27 [size =\"7747584\"]\n  24 -> 30 [size =\"7747584\"]\n  25 [size=\"85055488\", alpha=\"0.16\", expect_size=\"42527744\"] \n  25 -> 35 [size =\"42527744\"]\n  26 [size=\"101046272\", alpha=\"0.08\", expect_size=\"50523136\"] \n  26 -> 32 [size =\"50523136\"]\n  26 -> 33 [size =\"50523136\"]\n  26 -> 35 [size =\"50523136\"]\n  26 -> 36 [size =\"50523136\"]\n  26 -> 37 [size =\"50523136\"]\n  27 [size=\"72931328\", alpha=\"0.16\", expect_size=\"36465664\"] \n  27 -> 33 [size =\"36465664\"]\n  27 -> 36 [size =\"36465664\"]\n  27 -> 38 [size =\"36465664\"]\n  28 [size=\"39180288\", alpha=\"0.17\", expect_size=\"19590144\"] \n  28 -> 34 [size =\"19590144\"]\n  28 -> 35 [size =\"19590144\"]\n  28 -> 36 [size =\"19590144\"]\n  28 -> 38 [size =\"19590144\"]\n  29 [size=\"86452224\", alpha=\"0.09\", expect_size=\"43226112\"] \n  29 -> 34 [size =\"43226112\"]\n  29 -> 35 [size =\"43226112\"]\n  30 [size=\"30437376\", alpha=\"0.09\", expect_size=\"15218688\"] \n  30 -> 34 [size =\"15218688\"]\n  30 -> 38 [size =\"15218688\"]\n  31 [size=\"23492608\", alpha=\"0.02\", expect_size=\"11746304\"] \n  31 -> 33 [size =\"11746304\"]\n  31 -> 34 [size =\"11746304\"]\n  32 [size=\"62382080\", alpha=\"0.02\", expect_size=\"31191040\"] \n  32 -> 40 [size =\"31191040\"]\n  32 -> 41 [size =\"31191040\"]\n  32 -> 42 [size =\"31191040\"]\n  33 [size=\"89417728\", alpha=\"0.05\", expect_size=\"44708864\"] \n  33 -> 42 [size =\"44708864\"]\n  34 [size=\"102350848\", alpha=\"0.12\", expect_size=\"51175424\"] \n  34 -> 40 [size =\"51175424\"]\n  34 -> 41 [size =\"51175424\"]\n  34 -> 42 [size =\"51175424\"]\n  34 -> 44 [size =\"51175424\"]\n  35 [size=\"25028608\", alpha=\"0.19\", expect_size=\"12514304\"] \n  35 -> 39 [size =\"12514304\"]\n  35 -> 42 [size =\"12514304\"]\n  35 -> 43 [size =\"12514304\"]\n  36 [size=\"99166208\", alpha=\"0.19\", expect_size=\"49583104\"] \n  36 -> 39 [size =\"49583104\"]\n  37 [size=\"41816064\", alpha=\"0.06\", expect_size=\"20908032\"] \n  37 -> 39 [size =\"20908032\"]\n  37 -> 40 [size =\"20908032\"]\n  37 -> 41 [size =\"20908032\"]\n  38 [size=\"24238080\", alpha=\"0.15\", expect_size=\"12119040\"] \n  38 -> 39 [size =\"12119040\"]\n  39 [size=\"102596608\", alpha=\"0.15\", expect_size=\"51298304\"] \n  39 -> 45 [size =\"51298304\"]\n  39 -> 46 [size =\"51298304\"]\n  39 -> 50 [size =\"51298304\"]\n  40 [size=\"52455424\", alpha=\"0.13\", expect_size=\"26227712\"] \n  40 -> 46 [size =\"26227712\"]\n  40 -> 47 [size =\"26227712\"]\n  41 [size=\"97028096\", alpha=\"0.00\", expect_size=\"48514048\"] \n  41 -> 45 [size =\"48514048\"]\n  41 -> 46 [size =\"48514048\"]\n  41 -> 48 [size =\"48514048\"]\n  41 -> 49 [size =\"48514048\"]\n  42 [size=\"104353792\", alpha=\"0.16\", expect_size=\"52176896\"] \n  42 -> 46 [size =\"52176896\"]\n  42 -> 47 [size =\"52176896\"]\n  42 -> 49 [size =\"52176896\"]\n  42 -> 50 [size =\"52176896\"]\n  43 [size=\"20148224\", alpha=\"0.10\", expect_size=\"10074112\"] \n  43 -> 48 [size =\"10074112\"]\n  43 -> 49 [size =\"10074112\"]\n  44 [size=\"41838592\", alpha=\"0.05\", expect_size=\"20919296\"] \n  44 -> 48 [size =\"20919296\"]\n  44 -> 49 [size =\"20919296\"]\n  45 [size=\"96606208\", alpha=\"0.16\", expect_size=\"48303104\"] \n  46 [size=\"91944960\", alpha=\"0.06\", expect_size=\"45972480\"] \n  47 [size=\"89522176\", alpha=\"0.09\", expect_size=\"44761088\"] \n  48 [size=\"21465088\", alpha=\"0.19\", expect_size=\"10732544\"] \n  49 [size=\"93415424\", alpha=\"0.04\", expect_size=\"46707712\"] \n  50 [size=\"68835328\", alpha=\"0.14\", expect_size=\"34417664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.900.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"167082667\", alpha=\"0.17\", expect_size=\"50124800\"] \n  1 -> 2 [size =\"50124800\"]\n  2 [size=\"126375253\", alpha=\"0.02\", expect_size=\"37912576\"] \n  2 -> 3 [size =\"37912576\"]\n  3 [size=\"28108800\", alpha=\"0.08\", expect_size=\"8432640\"] \n  3 -> 4 [size =\"8432640\"]\n  4 [size=\"93538987\", alpha=\"0.03\", expect_size=\"28061696\"] \n  4 -> 5 [size =\"28061696\"]\n  5 [size=\"151562240\", alpha=\"0.14\", expect_size=\"45468672\"] \n  5 -> 6 [size =\"45468672\"]\n  6 [size=\"155849387\", alpha=\"0.16\", expect_size=\"46754816\"] \n  6 -> 7 [size =\"46754816\"]\n  7 [size=\"170755413\", alpha=\"0.08\", expect_size=\"51226624\"] \n  7 -> 8 [size =\"51226624\"]\n  8 [size=\"118374400\", alpha=\"0.19\", expect_size=\"35512320\"] \n  8 -> 9 [size =\"35512320\"]\n  9 [size=\"167181653\", alpha=\"0.16\", expect_size=\"50154496\"] \n  9 -> 10 [size =\"50154496\"]\n  10 [size=\"120483840\", alpha=\"0.18\", expect_size=\"36145152\"] \n  10 -> 11 [size =\"36145152\"]\n  11 [size=\"76707840\", alpha=\"0.11\", expect_size=\"23012352\"] \n  11 -> 12 [size =\"23012352\"]\n  12 [size=\"54091093\", alpha=\"0.18\", expect_size=\"16227328\"] \n  12 -> 13 [size =\"16227328\"]\n  13 [size=\"70410240\", alpha=\"0.19\", expect_size=\"21123072\"] \n  13 -> 14 [size =\"21123072\"]\n  14 [size=\"133884587\", alpha=\"0.06\", expect_size=\"40165376\"] \n  14 -> 15 [size =\"40165376\"]\n  15 [size=\"160839680\", alpha=\"0.16\", expect_size=\"48251904\"] \n  15 -> 16 [size =\"48251904\"]\n  16 [size=\"115978240\", alpha=\"0.07\", expect_size=\"34793472\"] \n  16 -> 17 [size =\"34793472\"]\n  17 [size=\"81554773\", alpha=\"0.16\", expect_size=\"24466432\"] \n  17 -> 18 [size =\"24466432\"]\n  18 [size=\"141718187\", alpha=\"0.07\", expect_size=\"42515456\"] \n  18 -> 19 [size =\"42515456\"]\n  19 [size=\"132648960\", alpha=\"0.08\", expect_size=\"39794688\"] \n  19 -> 20 [size =\"39794688\"]\n  20 [size=\"99932160\", alpha=\"0.01\", expect_size=\"29979648\"] \n  20 -> 21 [size =\"29979648\"]\n  21 [size=\"83220480\", alpha=\"0.14\", expect_size=\"24966144\"] \n  21 -> 22 [size =\"24966144\"]\n  22 [size=\"166785707\", alpha=\"0.01\", expect_size=\"50035712\"] \n  22 -> 23 [size =\"50035712\"]\n  23 [size=\"153176747\", alpha=\"0.09\", expect_size=\"45953024\"] \n  23 -> 24 [size =\"45953024\"]\n  24 [size=\"141622613\", alpha=\"0.06\", expect_size=\"42486784\"] \n  24 -> 25 [size =\"42486784\"]\n  25 [size=\"33447253\", alpha=\"0.01\", expect_size=\"10034176\"] \n  25 -> 26 [size =\"10034176\"]\n  26 [size=\"161409707\", alpha=\"0.13\", expect_size=\"48422912\"] \n  26 -> 27 [size =\"48422912\"]\n  27 [size=\"61501440\", alpha=\"0.05\", expect_size=\"18450432\"] \n  27 -> 28 [size =\"18450432\"]\n  28 [size=\"29245440\", alpha=\"0.09\", expect_size=\"8773632\"] \n  28 -> 29 [size =\"8773632\"]\n  29 [size=\"83763200\", alpha=\"0.13\", expect_size=\"25128960\"] \n  29 -> 30 [size =\"25128960\"]\n  30 [size=\"144800427\", alpha=\"0.09\", expect_size=\"43440128\"] \n  30 -> 31 [size =\"43440128\"]\n  31 [size=\"156074667\", alpha=\"0.14\", expect_size=\"46822400\"] \n  31 -> 32 [size =\"46822400\"]\n  32 [size=\"109902507\", alpha=\"0.02\", expect_size=\"32970752\"] \n  32 -> 33 [size =\"32970752\"]\n  33 [size=\"115186347\", alpha=\"0.18\", expect_size=\"34555904\"] \n  33 -> 34 [size =\"34555904\"]\n  34 [size=\"25272320\", alpha=\"0.08\", expect_size=\"7581696\"] \n  34 -> 35 [size =\"7581696\"]\n  35 [size=\"73516373\", alpha=\"0.17\", expect_size=\"22054912\"] \n  35 -> 36 [size =\"22054912\"]\n  36 [size=\"79424853\", alpha=\"0.18\", expect_size=\"23827456\"] \n  36 -> 37 [size =\"23827456\"]\n  37 [size=\"24094720\", alpha=\"0.08\", expect_size=\"7228416\"] \n  37 -> 38 [size =\"7228416\"]\n  38 [size=\"60798293\", alpha=\"0.13\", expect_size=\"18239488\"] \n  38 -> 39 [size =\"18239488\"]\n  39 [size=\"133157547\", alpha=\"0.12\", expect_size=\"39947264\"] \n  39 -> 40 [size =\"39947264\"]\n  40 [size=\"76305067\", alpha=\"0.03\", expect_size=\"22891520\"] \n  40 -> 41 [size =\"22891520\"]\n  41 [size=\"150534827\", alpha=\"0.01\", expect_size=\"45160448\"] \n  41 -> 42 [size =\"45160448\"]\n  42 [size=\"100512427\", alpha=\"0.19\", expect_size=\"30153728\"] \n  42 -> 43 [size =\"30153728\"]\n  43 [size=\"120135680\", alpha=\"0.14\", expect_size=\"36040704\"] \n  43 -> 44 [size =\"36040704\"]\n  44 [size=\"105055573\", alpha=\"0.04\", expect_size=\"31516672\"] \n  44 -> 45 [size =\"31516672\"]\n  45 [size=\"171687253\", alpha=\"0.17\", expect_size=\"51506176\"] \n  45 -> 46 [size =\"51506176\"]\n  46 [size=\"148817920\", alpha=\"0.08\", expect_size=\"44645376\"] \n  46 -> 47 [size =\"44645376\"]\n  47 [size=\"134959787\", alpha=\"0.04\", expect_size=\"40487936\"] \n  47 -> 48 [size =\"40487936\"]\n  48 [size=\"36894720\", alpha=\"0.02\", expect_size=\"11068416\"] \n  48 -> 49 [size =\"11068416\"]\n  49 [size=\"136164693\", alpha=\"0.09\", expect_size=\"40849408\"] \n  49 -> 50 [size =\"40849408\"]\n  50 [size=\"76076373\", alpha=\"0.11\", expect_size=\"22822912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.901.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"156456960\", alpha=\"0.16\", expect_size=\"46937088\"] \n  1 -> 27 [size =\"46937088\"]\n  1 -> 30 [size =\"46937088\"]\n  1 -> 31 [size =\"46937088\"]\n  1 -> 32 [size =\"46937088\"]\n  1 -> 35 [size =\"46937088\"]\n  1 -> 41 [size =\"46937088\"]\n  2 [size=\"91084800\", alpha=\"0.09\", expect_size=\"27325440\"] \n  2 -> 29 [size =\"27325440\"]\n  2 -> 35 [size =\"27325440\"]\n  2 -> 37 [size =\"27325440\"]\n  2 -> 44 [size =\"27325440\"]\n  2 -> 45 [size =\"27325440\"]\n  3 [size=\"119756800\", alpha=\"0.15\", expect_size=\"35927040\"] \n  3 -> 29 [size =\"35927040\"]\n  3 -> 36 [size =\"35927040\"]\n  3 -> 38 [size =\"35927040\"]\n  3 -> 41 [size =\"35927040\"]\n  3 -> 47 [size =\"35927040\"]\n  3 -> 49 [size =\"35927040\"]\n  3 -> 50 [size =\"35927040\"]\n  4 [size=\"141342720\", alpha=\"0.10\", expect_size=\"42402816\"] \n  4 -> 30 [size =\"42402816\"]\n  4 -> 46 [size =\"42402816\"]\n  4 -> 47 [size =\"42402816\"]\n  4 -> 48 [size =\"42402816\"]\n  4 -> 49 [size =\"42402816\"]\n  4 -> 50 [size =\"42402816\"]\n  5 [size=\"140117333\", alpha=\"0.01\", expect_size=\"42035200\"] \n  5 -> 27 [size =\"42035200\"]\n  5 -> 30 [size =\"42035200\"]\n  5 -> 42 [size =\"42035200\"]\n  5 -> 44 [size =\"42035200\"]\n  5 -> 45 [size =\"42035200\"]\n  5 -> 46 [size =\"42035200\"]\n  5 -> 47 [size =\"42035200\"]\n  6 [size=\"141564587\", alpha=\"0.03\", expect_size=\"42469376\"] \n  6 -> 27 [size =\"42469376\"]\n  6 -> 30 [size =\"42469376\"]\n  6 -> 31 [size =\"42469376\"]\n  6 -> 34 [size =\"42469376\"]\n  6 -> 42 [size =\"42469376\"]\n  6 -> 45 [size =\"42469376\"]\n  6 -> 47 [size =\"42469376\"]\n  6 -> 48 [size =\"42469376\"]\n  7 [size=\"47486293\", alpha=\"0.13\", expect_size=\"14245888\"] \n  7 -> 35 [size =\"14245888\"]\n  7 -> 45 [size =\"14245888\"]\n  7 -> 47 [size =\"14245888\"]\n  7 -> 49 [size =\"14245888\"]\n  8 [size=\"96064853\", alpha=\"0.17\", expect_size=\"28819456\"] \n  8 -> 29 [size =\"28819456\"]\n  8 -> 31 [size =\"28819456\"]\n  8 -> 35 [size =\"28819456\"]\n  8 -> 36 [size =\"28819456\"]\n  8 -> 45 [size =\"28819456\"]\n  8 -> 47 [size =\"28819456\"]\n  9 [size=\"106523307\", alpha=\"0.12\", expect_size=\"31956992\"] \n  9 -> 29 [size =\"31956992\"]\n  9 -> 31 [size =\"31956992\"]\n  9 -> 45 [size =\"31956992\"]\n  9 -> 47 [size =\"31956992\"]\n  10 [size=\"99218773\", alpha=\"0.16\", expect_size=\"29765632\"] \n  10 -> 27 [size =\"29765632\"]\n  10 -> 29 [size =\"29765632\"]\n  10 -> 30 [size =\"29765632\"]\n  10 -> 38 [size =\"29765632\"]\n  10 -> 42 [size =\"29765632\"]\n  10 -> 45 [size =\"29765632\"]\n  10 -> 47 [size =\"29765632\"]\n  11 [size=\"32119467\", alpha=\"0.12\", expect_size=\"9635840\"] \n  11 -> 27 [size =\"9635840\"]\n  11 -> 29 [size =\"9635840\"]\n  11 -> 41 [size =\"9635840\"]\n  11 -> 45 [size =\"9635840\"]\n  12 [size=\"159143253\", alpha=\"0.18\", expect_size=\"47742976\"] \n  12 -> 27 [size =\"47742976\"]\n  12 -> 37 [size =\"47742976\"]\n  12 -> 40 [size =\"47742976\"]\n  12 -> 41 [size =\"47742976\"]\n  12 -> 42 [size =\"47742976\"]\n  12 -> 50 [size =\"47742976\"]\n  13 [size=\"68730880\", alpha=\"0.03\", expect_size=\"20619264\"] \n  13 -> 27 [size =\"20619264\"]\n  13 -> 31 [size =\"20619264\"]\n  13 -> 37 [size =\"20619264\"]\n  13 -> 38 [size =\"20619264\"]\n  13 -> 41 [size =\"20619264\"]\n  13 -> 44 [size =\"20619264\"]\n  13 -> 46 [size =\"20619264\"]\n  13 -> 50 [size =\"20619264\"]\n  14 [size=\"32392533\", alpha=\"0.12\", expect_size=\"9717760\"] \n  14 -> 27 [size =\"9717760\"]\n  14 -> 29 [size =\"9717760\"]\n  14 -> 31 [size =\"9717760\"]\n  14 -> 35 [size =\"9717760\"]\n  14 -> 38 [size =\"9717760\"]\n  14 -> 40 [size =\"9717760\"]\n  14 -> 41 [size =\"9717760\"]\n  14 -> 43 [size =\"9717760\"]\n  14 -> 44 [size =\"9717760\"]\n  14 -> 45 [size =\"9717760\"]\n  14 -> 46 [size =\"9717760\"]\n  15 [size=\"107967147\", alpha=\"0.18\", expect_size=\"32390144\"] \n  15 -> 27 [size =\"32390144\"]\n  15 -> 28 [size =\"32390144\"]\n  15 -> 37 [size =\"32390144\"]\n  15 -> 38 [size =\"32390144\"]\n  15 -> 41 [size =\"32390144\"]\n  15 -> 44 [size =\"32390144\"]\n  15 -> 46 [size =\"32390144\"]\n  16 [size=\"112029013\", alpha=\"0.16\", expect_size=\"33608704\"] \n  16 -> 27 [size =\"33608704\"]\n  16 -> 30 [size =\"33608704\"]\n  16 -> 37 [size =\"33608704\"]\n  16 -> 38 [size =\"33608704\"]\n  16 -> 39 [size =\"33608704\"]\n  16 -> 45 [size =\"33608704\"]\n  17 [size=\"134806187\", alpha=\"0.11\", expect_size=\"40441856\"] \n  17 -> 27 [size =\"40441856\"]\n  17 -> 29 [size =\"40441856\"]\n  17 -> 31 [size =\"40441856\"]\n  17 -> 36 [size =\"40441856\"]\n  17 -> 37 [size =\"40441856\"]\n  17 -> 38 [size =\"40441856\"]\n  17 -> 45 [size =\"40441856\"]\n  17 -> 47 [size =\"40441856\"]\n  17 -> 48 [size =\"40441856\"]\n  17 -> 49 [size =\"40441856\"]\n  18 [size=\"81489920\", alpha=\"0.16\", expect_size=\"24446976\"] \n  18 -> 29 [size =\"24446976\"]\n  18 -> 34 [size =\"24446976\"]\n  18 -> 37 [size =\"24446976\"]\n  18 -> 41 [size =\"24446976\"]\n  18 -> 46 [size =\"24446976\"]\n  18 -> 47 [size =\"24446976\"]\n  18 -> 49 [size =\"24446976\"]\n  19 [size=\"57958400\", alpha=\"0.20\", expect_size=\"17387520\"] \n  19 -> 27 [size =\"17387520\"]\n  19 -> 38 [size =\"17387520\"]\n  19 -> 41 [size =\"17387520\"]\n  19 -> 45 [size =\"17387520\"]\n  19 -> 47 [size =\"17387520\"]\n  19 -> 47 [size =\"17387520\"]\n  19 -> 48 [size =\"17387520\"]\n  19 -> 50 [size =\"17387520\"]\n  20 [size=\"155525120\", alpha=\"0.00\", expect_size=\"46657536\"] \n  20 -> 31 [size =\"46657536\"]\n  20 -> 35 [size =\"46657536\"]\n  20 -> 38 [size =\"46657536\"]\n  20 -> 41 [size =\"46657536\"]\n  20 -> 44 [size =\"46657536\"]\n  20 -> 47 [size =\"46657536\"]\n  20 -> 48 [size =\"46657536\"]\n  20 -> 49 [size =\"46657536\"]\n  21 [size=\"122968747\", alpha=\"0.18\", expect_size=\"36890624\"] \n  21 -> 35 [size =\"36890624\"]\n  21 -> 38 [size =\"36890624\"]\n  21 -> 41 [size =\"36890624\"]\n  21 -> 41 [size =\"36890624\"]\n  21 -> 47 [size =\"36890624\"]\n  21 -> 50 [size =\"36890624\"]\n  22 [size=\"59279360\", alpha=\"0.05\", expect_size=\"17783808\"] \n  22 -> 28 [size =\"17783808\"]\n  22 -> 30 [size =\"17783808\"]\n  22 -> 31 [size =\"17783808\"]\n  22 -> 35 [size =\"17783808\"]\n  22 -> 38 [size =\"17783808\"]\n  22 -> 41 [size =\"17783808\"]\n  22 -> 44 [size =\"17783808\"]\n  22 -> 45 [size =\"17783808\"]\n  22 -> 46 [size =\"17783808\"]\n  22 -> 49 [size =\"17783808\"]\n  23 [size=\"41755307\", alpha=\"0.06\", expect_size=\"12526592\"] \n  23 -> 27 [size =\"12526592\"]\n  23 -> 30 [size =\"12526592\"]\n  23 -> 33 [size =\"12526592\"]\n  23 -> 35 [size =\"12526592\"]\n  23 -> 41 [size =\"12526592\"]\n  23 -> 46 [size =\"12526592\"]\n  23 -> 47 [size =\"12526592\"]\n  24 [size=\"62941867\", alpha=\"0.02\", expect_size=\"18882560\"] \n  24 -> 29 [size =\"18882560\"]\n  24 -> 30 [size =\"18882560\"]\n  24 -> 31 [size =\"18882560\"]\n  24 -> 35 [size =\"18882560\"]\n  24 -> 36 [size =\"18882560\"]\n  24 -> 42 [size =\"18882560\"]\n  24 -> 45 [size =\"18882560\"]\n  24 -> 46 [size =\"18882560\"]\n  24 -> 49 [size =\"18882560\"]\n  25 [size=\"155098453\", alpha=\"0.13\", expect_size=\"46529536\"] \n  25 -> 31 [size =\"46529536\"]\n  25 -> 35 [size =\"46529536\"]\n  25 -> 36 [size =\"46529536\"]\n  25 -> 38 [size =\"46529536\"]\n  25 -> 41 [size =\"46529536\"]\n  25 -> 42 [size =\"46529536\"]\n  25 -> 45 [size =\"46529536\"]\n  25 -> 46 [size =\"46529536\"]\n  25 -> 47 [size =\"46529536\"]\n  26 [size=\"140011520\", alpha=\"0.01\", expect_size=\"42003456\"] \n  26 -> 35 [size =\"42003456\"]\n  26 -> 35 [size =\"42003456\"]\n  26 -> 36 [size =\"42003456\"]\n  26 -> 38 [size =\"42003456\"]\n  26 -> 41 [size =\"42003456\"]\n  26 -> 42 [size =\"42003456\"]\n  26 -> 44 [size =\"42003456\"]\n  26 -> 45 [size =\"42003456\"]\n  27 [size=\"111114240\", alpha=\"0.12\", expect_size=\"33334272\"] \n  28 [size=\"43120640\", alpha=\"0.13\", expect_size=\"12936192\"] \n  29 [size=\"166505813\", alpha=\"0.06\", expect_size=\"49951744\"] \n  30 [size=\"164478293\", alpha=\"0.09\", expect_size=\"49343488\"] \n  31 [size=\"164645547\", alpha=\"0.14\", expect_size=\"49393664\"] \n  32 [size=\"148712107\", alpha=\"0.17\", expect_size=\"44613632\"] \n  33 [size=\"33000107\", alpha=\"0.06\", expect_size=\"9900032\"] \n  34 [size=\"77076480\", alpha=\"0.17\", expect_size=\"23122944\"] \n  35 [size=\"90241707\", alpha=\"0.20\", expect_size=\"27072512\"] \n  36 [size=\"37853867\", alpha=\"0.15\", expect_size=\"11356160\"] \n  37 [size=\"43997867\", alpha=\"0.04\", expect_size=\"13199360\"] \n  38 [size=\"138687147\", alpha=\"0.02\", expect_size=\"41606144\"] \n  39 [size=\"85944320\", alpha=\"0.05\", expect_size=\"25783296\"] \n  40 [size=\"132102827\", alpha=\"0.06\", expect_size=\"39630848\"] \n  41 [size=\"44332373\", alpha=\"0.20\", expect_size=\"13299712\"] \n  42 [size=\"151848960\", alpha=\"0.19\", expect_size=\"45554688\"] \n  43 [size=\"124467200\", alpha=\"0.01\", expect_size=\"37340160\"] \n  44 [size=\"170728107\", alpha=\"0.10\", expect_size=\"51218432\"] \n  45 [size=\"148264960\", alpha=\"0.15\", expect_size=\"44479488\"] \n  46 [size=\"147568640\", alpha=\"0.16\", expect_size=\"44270592\"] \n  47 [size=\"105912320\", alpha=\"0.10\", expect_size=\"31773696\"] \n  48 [size=\"140625920\", alpha=\"0.06\", expect_size=\"42187776\"] \n  49 [size=\"158440107\", alpha=\"0.01\", expect_size=\"47532032\"] \n  50 [size=\"42547200\", alpha=\"0.15\", expect_size=\"12764160\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.902.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56760320\", alpha=\"0.14\", expect_size=\"28380160\"] \n  1 -> 32 [size =\"28380160\"]\n  1 -> 35 [size =\"28380160\"]\n  1 -> 35 [size =\"28380160\"]\n  1 -> 41 [size =\"28380160\"]\n  1 -> 41 [size =\"28380160\"]\n  1 -> 42 [size =\"28380160\"]\n  1 -> 43 [size =\"28380160\"]\n  1 -> 44 [size =\"28380160\"]\n  1 -> 45 [size =\"28380160\"]\n  1 -> 47 [size =\"28380160\"]\n  1 -> 48 [size =\"28380160\"]\n  2 [size=\"96499712\", alpha=\"0.00\", expect_size=\"48249856\"] \n  2 -> 34 [size =\"48249856\"]\n  2 -> 37 [size =\"48249856\"]\n  2 -> 38 [size =\"48249856\"]\n  2 -> 39 [size =\"48249856\"]\n  2 -> 40 [size =\"48249856\"]\n  2 -> 41 [size =\"48249856\"]\n  2 -> 42 [size =\"48249856\"]\n  2 -> 44 [size =\"48249856\"]\n  2 -> 46 [size =\"48249856\"]\n  2 -> 47 [size =\"48249856\"]\n  3 [size=\"35352576\", alpha=\"0.06\", expect_size=\"17676288\"] \n  3 -> 33 [size =\"17676288\"]\n  3 -> 34 [size =\"17676288\"]\n  3 -> 35 [size =\"17676288\"]\n  3 -> 36 [size =\"17676288\"]\n  3 -> 39 [size =\"17676288\"]\n  3 -> 41 [size =\"17676288\"]\n  3 -> 42 [size =\"17676288\"]\n  3 -> 44 [size =\"17676288\"]\n  3 -> 47 [size =\"17676288\"]\n  3 -> 49 [size =\"17676288\"]\n  4 [size=\"21250048\", alpha=\"0.12\", expect_size=\"10625024\"] \n  4 -> 32 [size =\"10625024\"]\n  4 -> 34 [size =\"10625024\"]\n  4 -> 35 [size =\"10625024\"]\n  4 -> 36 [size =\"10625024\"]\n  4 -> 37 [size =\"10625024\"]\n  4 -> 40 [size =\"10625024\"]\n  4 -> 41 [size =\"10625024\"]\n  4 -> 42 [size =\"10625024\"]\n  4 -> 44 [size =\"10625024\"]\n  4 -> 45 [size =\"10625024\"]\n  4 -> 49 [size =\"10625024\"]\n  5 [size=\"82798592\", alpha=\"0.08\", expect_size=\"41399296\"] \n  5 -> 35 [size =\"41399296\"]\n  5 -> 39 [size =\"41399296\"]\n  5 -> 41 [size =\"41399296\"]\n  5 -> 42 [size =\"41399296\"]\n  5 -> 44 [size =\"41399296\"]\n  5 -> 47 [size =\"41399296\"]\n  5 -> 49 [size =\"41399296\"]\n  6 [size=\"40818688\", alpha=\"0.09\", expect_size=\"20409344\"] \n  6 -> 31 [size =\"20409344\"]\n  6 -> 32 [size =\"20409344\"]\n  6 -> 33 [size =\"20409344\"]\n  6 -> 34 [size =\"20409344\"]\n  6 -> 35 [size =\"20409344\"]\n  6 -> 38 [size =\"20409344\"]\n  6 -> 41 [size =\"20409344\"]\n  6 -> 42 [size =\"20409344\"]\n  6 -> 44 [size =\"20409344\"]\n  6 -> 47 [size =\"20409344\"]\n  6 -> 49 [size =\"20409344\"]\n  7 [size=\"42590208\", alpha=\"0.01\", expect_size=\"21295104\"] \n  7 -> 32 [size =\"21295104\"]\n  7 -> 33 [size =\"21295104\"]\n  7 -> 33 [size =\"21295104\"]\n  7 -> 34 [size =\"21295104\"]\n  7 -> 35 [size =\"21295104\"]\n  7 -> 36 [size =\"21295104\"]\n  7 -> 39 [size =\"21295104\"]\n  7 -> 42 [size =\"21295104\"]\n  7 -> 44 [size =\"21295104\"]\n  7 -> 47 [size =\"21295104\"]\n  7 -> 48 [size =\"21295104\"]\n  7 -> 49 [size =\"21295104\"]\n  8 [size=\"81012736\", alpha=\"0.06\", expect_size=\"40506368\"] \n  8 -> 32 [size =\"40506368\"]\n  8 -> 33 [size =\"40506368\"]\n  8 -> 34 [size =\"40506368\"]\n  8 -> 35 [size =\"40506368\"]\n  8 -> 35 [size =\"40506368\"]\n  8 -> 37 [size =\"40506368\"]\n  8 -> 40 [size =\"40506368\"]\n  8 -> 41 [size =\"40506368\"]\n  8 -> 42 [size =\"40506368\"]\n  8 -> 44 [size =\"40506368\"]\n  8 -> 48 [size =\"40506368\"]\n  9 [size=\"104097792\", alpha=\"0.16\", expect_size=\"52048896\"] \n  9 -> 32 [size =\"52048896\"]\n  9 -> 33 [size =\"52048896\"]\n  9 -> 34 [size =\"52048896\"]\n  9 -> 35 [size =\"52048896\"]\n  9 -> 37 [size =\"52048896\"]\n  9 -> 39 [size =\"52048896\"]\n  9 -> 41 [size =\"52048896\"]\n  9 -> 42 [size =\"52048896\"]\n  9 -> 42 [size =\"52048896\"]\n  9 -> 44 [size =\"52048896\"]\n  9 -> 45 [size =\"52048896\"]\n  10 [size=\"72255488\", alpha=\"0.04\", expect_size=\"36127744\"] \n  10 -> 32 [size =\"36127744\"]\n  10 -> 33 [size =\"36127744\"]\n  10 -> 34 [size =\"36127744\"]\n  10 -> 35 [size =\"36127744\"]\n  10 -> 37 [size =\"36127744\"]\n  10 -> 41 [size =\"36127744\"]\n  10 -> 42 [size =\"36127744\"]\n  10 -> 42 [size =\"36127744\"]\n  10 -> 43 [size =\"36127744\"]\n  10 -> 44 [size =\"36127744\"]\n  10 -> 46 [size =\"36127744\"]\n  10 -> 47 [size =\"36127744\"]\n  11 [size=\"62859264\", alpha=\"0.03\", expect_size=\"31429632\"] \n  11 -> 32 [size =\"31429632\"]\n  11 -> 33 [size =\"31429632\"]\n  11 -> 34 [size =\"31429632\"]\n  11 -> 35 [size =\"31429632\"]\n  11 -> 36 [size =\"31429632\"]\n  11 -> 37 [size =\"31429632\"]\n  11 -> 40 [size =\"31429632\"]\n  11 -> 41 [size =\"31429632\"]\n  11 -> 42 [size =\"31429632\"]\n  11 -> 44 [size =\"31429632\"]\n  11 -> 45 [size =\"31429632\"]\n  12 [size=\"32337920\", alpha=\"0.13\", expect_size=\"16168960\"] \n  12 -> 32 [size =\"16168960\"]\n  12 -> 33 [size =\"16168960\"]\n  12 -> 34 [size =\"16168960\"]\n  12 -> 35 [size =\"16168960\"]\n  12 -> 37 [size =\"16168960\"]\n  12 -> 37 [size =\"16168960\"]\n  12 -> 41 [size =\"16168960\"]\n  12 -> 42 [size =\"16168960\"]\n  12 -> 42 [size =\"16168960\"]\n  12 -> 44 [size =\"16168960\"]\n  12 -> 49 [size =\"16168960\"]\n  13 [size=\"33859584\", alpha=\"0.01\", expect_size=\"16929792\"] \n  13 -> 32 [size =\"16929792\"]\n  13 -> 33 [size =\"16929792\"]\n  13 -> 34 [size =\"16929792\"]\n  13 -> 35 [size =\"16929792\"]\n  13 -> 37 [size =\"16929792\"]\n  13 -> 40 [size =\"16929792\"]\n  13 -> 41 [size =\"16929792\"]\n  13 -> 42 [size =\"16929792\"]\n  13 -> 44 [size =\"16929792\"]\n  13 -> 45 [size =\"16929792\"]\n  13 -> 46 [size =\"16929792\"]\n  13 -> 48 [size =\"16929792\"]\n  14 [size=\"61112320\", alpha=\"0.06\", expect_size=\"30556160\"] \n  14 -> 31 [size =\"30556160\"]\n  14 -> 32 [size =\"30556160\"]\n  14 -> 33 [size =\"30556160\"]\n  14 -> 34 [size =\"30556160\"]\n  14 -> 35 [size =\"30556160\"]\n  14 -> 37 [size =\"30556160\"]\n  14 -> 40 [size =\"30556160\"]\n  14 -> 43 [size =\"30556160\"]\n  14 -> 48 [size =\"30556160\"]\n  15 [size=\"21934080\", alpha=\"0.11\", expect_size=\"10967040\"] \n  15 -> 32 [size =\"10967040\"]\n  15 -> 32 [size =\"10967040\"]\n  15 -> 33 [size =\"10967040\"]\n  15 -> 35 [size =\"10967040\"]\n  15 -> 36 [size =\"10967040\"]\n  15 -> 37 [size =\"10967040\"]\n  15 -> 38 [size =\"10967040\"]\n  15 -> 41 [size =\"10967040\"]\n  15 -> 44 [size =\"10967040\"]\n  15 -> 48 [size =\"10967040\"]\n  15 -> 50 [size =\"10967040\"]\n  16 [size=\"58716160\", alpha=\"0.17\", expect_size=\"29358080\"] \n  16 -> 32 [size =\"29358080\"]\n  16 -> 35 [size =\"29358080\"]\n  16 -> 37 [size =\"29358080\"]\n  16 -> 41 [size =\"29358080\"]\n  16 -> 47 [size =\"29358080\"]\n  16 -> 48 [size =\"29358080\"]\n  17 [size=\"102987776\", alpha=\"0.04\", expect_size=\"51493888\"] \n  17 -> 33 [size =\"51493888\"]\n  17 -> 34 [size =\"51493888\"]\n  17 -> 35 [size =\"51493888\"]\n  17 -> 37 [size =\"51493888\"]\n  17 -> 38 [size =\"51493888\"]\n  17 -> 42 [size =\"51493888\"]\n  17 -> 43 [size =\"51493888\"]\n  17 -> 44 [size =\"51493888\"]\n  17 -> 45 [size =\"51493888\"]\n  17 -> 46 [size =\"51493888\"]\n  17 -> 47 [size =\"51493888\"]\n  17 -> 48 [size =\"51493888\"]\n  18 [size=\"14948352\", alpha=\"0.18\", expect_size=\"7474176\"] \n  18 -> 34 [size =\"7474176\"]\n  18 -> 34 [size =\"7474176\"]\n  18 -> 35 [size =\"7474176\"]\n  18 -> 37 [size =\"7474176\"]\n  18 -> 38 [size =\"7474176\"]\n  18 -> 42 [size =\"7474176\"]\n  18 -> 43 [size =\"7474176\"]\n  18 -> 44 [size =\"7474176\"]\n  18 -> 46 [size =\"7474176\"]\n  18 -> 47 [size =\"7474176\"]\n  18 -> 48 [size =\"7474176\"]\n  18 -> 48 [size =\"7474176\"]\n  19 [size=\"44138496\", alpha=\"0.20\", expect_size=\"22069248\"] \n  19 -> 32 [size =\"22069248\"]\n  19 -> 34 [size =\"22069248\"]\n  19 -> 35 [size =\"22069248\"]\n  19 -> 36 [size =\"22069248\"]\n  19 -> 37 [size =\"22069248\"]\n  19 -> 41 [size =\"22069248\"]\n  19 -> 42 [size =\"22069248\"]\n  19 -> 43 [size =\"22069248\"]\n  19 -> 44 [size =\"22069248\"]\n  19 -> 48 [size =\"22069248\"]\n  19 -> 48 [size =\"22069248\"]\n  20 [size=\"25780224\", alpha=\"0.05\", expect_size=\"12890112\"] \n  20 -> 33 [size =\"12890112\"]\n  20 -> 34 [size =\"12890112\"]\n  20 -> 37 [size =\"12890112\"]\n  20 -> 38 [size =\"12890112\"]\n  20 -> 43 [size =\"12890112\"]\n  20 -> 47 [size =\"12890112\"]\n  20 -> 48 [size =\"12890112\"]\n  21 [size=\"44148736\", alpha=\"0.20\", expect_size=\"22074368\"] \n  21 -> 32 [size =\"22074368\"]\n  21 -> 34 [size =\"22074368\"]\n  21 -> 37 [size =\"22074368\"]\n  21 -> 38 [size =\"22074368\"]\n  21 -> 39 [size =\"22074368\"]\n  21 -> 42 [size =\"22074368\"]\n  21 -> 43 [size =\"22074368\"]\n  21 -> 44 [size =\"22074368\"]\n  21 -> 48 [size =\"22074368\"]\n  21 -> 49 [size =\"22074368\"]\n  22 [size=\"57044992\", alpha=\"0.13\", expect_size=\"28522496\"] \n  22 -> 32 [size =\"28522496\"]\n  22 -> 33 [size =\"28522496\"]\n  22 -> 34 [size =\"28522496\"]\n  22 -> 36 [size =\"28522496\"]\n  22 -> 37 [size =\"28522496\"]\n  22 -> 38 [size =\"28522496\"]\n  22 -> 39 [size =\"28522496\"]\n  22 -> 41 [size =\"28522496\"]\n  22 -> 44 [size =\"28522496\"]\n  22 -> 46 [size =\"28522496\"]\n  22 -> 47 [size =\"28522496\"]\n  22 -> 49 [size =\"28522496\"]\n  23 [size=\"24203264\", alpha=\"0.11\", expect_size=\"12101632\"] \n  23 -> 32 [size =\"12101632\"]\n  23 -> 33 [size =\"12101632\"]\n  23 -> 34 [size =\"12101632\"]\n  23 -> 35 [size =\"12101632\"]\n  23 -> 36 [size =\"12101632\"]\n  23 -> 38 [size =\"12101632\"]\n  23 -> 39 [size =\"12101632\"]\n  23 -> 40 [size =\"12101632\"]\n  23 -> 47 [size =\"12101632\"]\n  23 -> 49 [size =\"12101632\"]\n  24 [size=\"30556160\", alpha=\"0.12\", expect_size=\"15278080\"] \n  24 -> 32 [size =\"15278080\"]\n  24 -> 33 [size =\"15278080\"]\n  24 -> 34 [size =\"15278080\"]\n  24 -> 37 [size =\"15278080\"]\n  24 -> 38 [size =\"15278080\"]\n  24 -> 38 [size =\"15278080\"]\n  24 -> 39 [size =\"15278080\"]\n  24 -> 40 [size =\"15278080\"]\n  24 -> 41 [size =\"15278080\"]\n  24 -> 42 [size =\"15278080\"]\n  24 -> 43 [size =\"15278080\"]\n  24 -> 44 [size =\"15278080\"]\n  24 -> 45 [size =\"15278080\"]\n  24 -> 47 [size =\"15278080\"]\n  24 -> 48 [size =\"15278080\"]\n  25 [size=\"60866560\", alpha=\"0.08\", expect_size=\"30433280\"] \n  25 -> 32 [size =\"30433280\"]\n  25 -> 33 [size =\"30433280\"]\n  25 -> 34 [size =\"30433280\"]\n  25 -> 35 [size =\"30433280\"]\n  25 -> 37 [size =\"30433280\"]\n  25 -> 38 [size =\"30433280\"]\n  25 -> 41 [size =\"30433280\"]\n  25 -> 42 [size =\"30433280\"]\n  25 -> 45 [size =\"30433280\"]\n  25 -> 47 [size =\"30433280\"]\n  26 [size=\"19238912\", alpha=\"0.10\", expect_size=\"9619456\"] \n  26 -> 33 [size =\"9619456\"]\n  26 -> 33 [size =\"9619456\"]\n  26 -> 34 [size =\"9619456\"]\n  26 -> 37 [size =\"9619456\"]\n  26 -> 38 [size =\"9619456\"]\n  26 -> 38 [size =\"9619456\"]\n  26 -> 40 [size =\"9619456\"]\n  26 -> 41 [size =\"9619456\"]\n  26 -> 42 [size =\"9619456\"]\n  26 -> 43 [size =\"9619456\"]\n  26 -> 44 [size =\"9619456\"]\n  26 -> 47 [size =\"9619456\"]\n  26 -> 48 [size =\"9619456\"]\n  26 -> 49 [size =\"9619456\"]\n  27 [size=\"100235264\", alpha=\"0.19\", expect_size=\"50117632\"] \n  27 -> 33 [size =\"50117632\"]\n  27 -> 34 [size =\"50117632\"]\n  27 -> 34 [size =\"50117632\"]\n  27 -> 35 [size =\"50117632\"]\n  27 -> 37 [size =\"50117632\"]\n  27 -> 38 [size =\"50117632\"]\n  27 -> 41 [size =\"50117632\"]\n  27 -> 41 [size =\"50117632\"]\n  27 -> 42 [size =\"50117632\"]\n  27 -> 44 [size =\"50117632\"]\n  27 -> 47 [size =\"50117632\"]\n  27 -> 47 [size =\"50117632\"]\n  27 -> 48 [size =\"50117632\"]\n  28 [size=\"26572800\", alpha=\"0.03\", expect_size=\"13286400\"] \n  28 -> 33 [size =\"13286400\"]\n  28 -> 35 [size =\"13286400\"]\n  28 -> 36 [size =\"13286400\"]\n  28 -> 37 [size =\"13286400\"]\n  28 -> 37 [size =\"13286400\"]\n  28 -> 38 [size =\"13286400\"]\n  28 -> 41 [size =\"13286400\"]\n  28 -> 47 [size =\"13286400\"]\n  28 -> 49 [size =\"13286400\"]\n  29 [size=\"16896000\", alpha=\"0.07\", expect_size=\"8448000\"] \n  29 -> 33 [size =\"8448000\"]\n  29 -> 35 [size =\"8448000\"]\n  29 -> 41 [size =\"8448000\"]\n  29 -> 44 [size =\"8448000\"]\n  29 -> 47 [size =\"8448000\"]\n  29 -> 48 [size =\"8448000\"]\n  29 -> 49 [size =\"8448000\"]\n  30 [size=\"16338944\", alpha=\"0.04\", expect_size=\"8169472\"] \n  30 -> 32 [size =\"8169472\"]\n  30 -> 34 [size =\"8169472\"]\n  30 -> 35 [size =\"8169472\"]\n  30 -> 38 [size =\"8169472\"]\n  30 -> 41 [size =\"8169472\"]\n  30 -> 47 [size =\"8169472\"]\n  30 -> 48 [size =\"8169472\"]\n  31 [size=\"39393280\", alpha=\"0.12\", expect_size=\"19696640\"] \n  32 [size=\"37963776\", alpha=\"0.05\", expect_size=\"18981888\"] \n  33 [size=\"98066432\", alpha=\"0.03\", expect_size=\"49033216\"] \n  34 [size=\"55826432\", alpha=\"0.11\", expect_size=\"27913216\"] \n  35 [size=\"16381952\", alpha=\"0.02\", expect_size=\"8190976\"] \n  36 [size=\"52043776\", alpha=\"0.03\", expect_size=\"26021888\"] \n  37 [size=\"98777088\", alpha=\"0.04\", expect_size=\"49388544\"] \n  38 [size=\"94312448\", alpha=\"0.05\", expect_size=\"47156224\"] \n  39 [size=\"14809088\", alpha=\"0.14\", expect_size=\"7404544\"] \n  40 [size=\"48248832\", alpha=\"0.06\", expect_size=\"24124416\"] \n  41 [size=\"67661824\", alpha=\"0.05\", expect_size=\"33830912\"] \n  42 [size=\"31047680\", alpha=\"0.14\", expect_size=\"15523840\"] \n  43 [size=\"54634496\", alpha=\"0.06\", expect_size=\"27317248\"] \n  44 [size=\"67422208\", alpha=\"0.02\", expect_size=\"33711104\"] \n  45 [size=\"25669632\", alpha=\"0.09\", expect_size=\"12834816\"] \n  46 [size=\"35196928\", alpha=\"0.18\", expect_size=\"17598464\"] \n  47 [size=\"49860608\", alpha=\"0.06\", expect_size=\"24930304\"] \n  48 [size=\"67792896\", alpha=\"0.17\", expect_size=\"33896448\"] \n  49 [size=\"93456384\", alpha=\"0.09\", expect_size=\"46728192\"] \n  50 [size=\"66134016\", alpha=\"0.03\", expect_size=\"33067008\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.903.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"47220053\", alpha=\"0.17\", expect_size=\"14166016\"] \n  1 -> 2 [size =\"14166016\"]\n  2 [size=\"121125547\", alpha=\"0.20\", expect_size=\"36337664\"] \n  2 -> 3 [size =\"36337664\"]\n  3 [size=\"162710187\", alpha=\"0.19\", expect_size=\"48813056\"] \n  3 -> 4 [size =\"48813056\"]\n  4 [size=\"81885867\", alpha=\"0.19\", expect_size=\"24565760\"] \n  4 -> 5 [size =\"24565760\"]\n  5 [size=\"17558187\", alpha=\"0.10\", expect_size=\"5267456\"] \n  5 -> 6 [size =\"5267456\"]\n  6 [size=\"123241813\", alpha=\"0.09\", expect_size=\"36972544\"] \n  6 -> 7 [size =\"36972544\"]\n  7 [size=\"30088533\", alpha=\"0.15\", expect_size=\"9026560\"] \n  7 -> 8 [size =\"9026560\"]\n  8 [size=\"28603733\", alpha=\"0.19\", expect_size=\"8581120\"] \n  8 -> 9 [size =\"8581120\"]\n  9 [size=\"114305707\", alpha=\"0.19\", expect_size=\"34291712\"] \n  9 -> 10 [size =\"34291712\"]\n  10 [size=\"67010560\", alpha=\"0.06\", expect_size=\"20103168\"] \n  10 -> 11 [size =\"20103168\"]\n  11 [size=\"127119360\", alpha=\"0.02\", expect_size=\"38135808\"] \n  11 -> 12 [size =\"38135808\"]\n  12 [size=\"103287467\", alpha=\"0.18\", expect_size=\"30986240\"] \n  12 -> 13 [size =\"30986240\"]\n  13 [size=\"100430507\", alpha=\"0.02\", expect_size=\"30129152\"] \n  13 -> 14 [size =\"30129152\"]\n  14 [size=\"94928213\", alpha=\"0.02\", expect_size=\"28478464\"] \n  14 -> 15 [size =\"28478464\"]\n  15 [size=\"85818027\", alpha=\"0.12\", expect_size=\"25745408\"] \n  15 -> 16 [size =\"25745408\"]\n  16 [size=\"166656000\", alpha=\"0.13\", expect_size=\"49996800\"] \n  16 -> 17 [size =\"49996800\"]\n  17 [size=\"78247253\", alpha=\"0.07\", expect_size=\"23474176\"] \n  17 -> 18 [size =\"23474176\"]\n  18 [size=\"36608000\", alpha=\"0.20\", expect_size=\"10982400\"] \n  18 -> 19 [size =\"10982400\"]\n  19 [size=\"31761067\", alpha=\"0.06\", expect_size=\"9528320\"] \n  19 -> 20 [size =\"9528320\"]\n  20 [size=\"24074240\", alpha=\"0.20\", expect_size=\"7222272\"] \n  20 -> 21 [size =\"7222272\"]\n  21 [size=\"68331520\", alpha=\"0.18\", expect_size=\"20499456\"] \n  21 -> 22 [size =\"20499456\"]\n  22 [size=\"83213653\", alpha=\"0.09\", expect_size=\"24964096\"] \n  22 -> 23 [size =\"24964096\"]\n  23 [size=\"66730667\", alpha=\"0.18\", expect_size=\"20019200\"] \n  23 -> 24 [size =\"20019200\"]\n  24 [size=\"83196587\", alpha=\"0.16\", expect_size=\"24958976\"] \n  24 -> 25 [size =\"24958976\"]\n  25 [size=\"97863680\", alpha=\"0.14\", expect_size=\"29359104\"] \n  25 -> 26 [size =\"29359104\"]\n  26 [size=\"32894293\", alpha=\"0.05\", expect_size=\"9868288\"] \n  26 -> 27 [size =\"9868288\"]\n  27 [size=\"131911680\", alpha=\"0.18\", expect_size=\"39573504\"] \n  27 -> 28 [size =\"39573504\"]\n  28 [size=\"25954987\", alpha=\"0.12\", expect_size=\"7786496\"] \n  28 -> 29 [size =\"7786496\"]\n  29 [size=\"23401813\", alpha=\"0.18\", expect_size=\"7020544\"] \n  29 -> 30 [size =\"7020544\"]\n  30 [size=\"68823040\", alpha=\"0.11\", expect_size=\"20646912\"] \n  30 -> 31 [size =\"20646912\"]\n  31 [size=\"67628373\", alpha=\"0.18\", expect_size=\"20288512\"] \n  31 -> 32 [size =\"20288512\"]\n  32 [size=\"49568427\", alpha=\"0.15\", expect_size=\"14870528\"] \n  32 -> 33 [size =\"14870528\"]\n  33 [size=\"118289067\", alpha=\"0.04\", expect_size=\"35486720\"] \n  33 -> 34 [size =\"35486720\"]\n  34 [size=\"104454827\", alpha=\"0.02\", expect_size=\"31336448\"] \n  34 -> 35 [size =\"31336448\"]\n  35 [size=\"72478720\", alpha=\"0.08\", expect_size=\"21743616\"] \n  35 -> 36 [size =\"21743616\"]\n  36 [size=\"22442667\", alpha=\"0.14\", expect_size=\"6732800\"] \n  36 -> 37 [size =\"6732800\"]\n  37 [size=\"60112213\", alpha=\"0.07\", expect_size=\"18033664\"] \n  37 -> 38 [size =\"18033664\"]\n  38 [size=\"40813227\", alpha=\"0.03\", expect_size=\"12243968\"] \n  38 -> 39 [size =\"12243968\"]\n  39 [size=\"132962987\", alpha=\"0.01\", expect_size=\"39888896\"] \n  39 -> 40 [size =\"39888896\"]\n  40 [size=\"118821547\", alpha=\"0.19\", expect_size=\"35646464\"] \n  40 -> 41 [size =\"35646464\"]\n  41 [size=\"47919787\", alpha=\"0.04\", expect_size=\"14375936\"] \n  41 -> 42 [size =\"14375936\"]\n  42 [size=\"29907627\", alpha=\"0.18\", expect_size=\"8972288\"] \n  42 -> 43 [size =\"8972288\"]\n  43 [size=\"150596267\", alpha=\"0.17\", expect_size=\"45178880\"] \n  43 -> 44 [size =\"45178880\"]\n  44 [size=\"21087573\", alpha=\"0.05\", expect_size=\"6326272\"] \n  44 -> 45 [size =\"6326272\"]\n  45 [size=\"33399467\", alpha=\"0.03\", expect_size=\"10019840\"] \n  45 -> 46 [size =\"10019840\"]\n  46 [size=\"98597547\", alpha=\"0.04\", expect_size=\"29579264\"] \n  46 -> 47 [size =\"29579264\"]\n  47 [size=\"51285333\", alpha=\"0.18\", expect_size=\"15385600\"] \n  47 -> 48 [size =\"15385600\"]\n  48 [size=\"109523627\", alpha=\"0.14\", expect_size=\"32857088\"] \n  48 -> 49 [size =\"32857088\"]\n  49 [size=\"135161173\", alpha=\"0.11\", expect_size=\"40548352\"] \n  49 -> 50 [size =\"40548352\"]\n  50 [size=\"142482773\", alpha=\"0.14\", expect_size=\"42744832\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.904.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129914880\", alpha=\"0.11\", expect_size=\"38974464\"] \n  1 -> 16 [size =\"38974464\"]\n  1 -> 21 [size =\"38974464\"]\n  2 [size=\"30252373\", alpha=\"0.10\", expect_size=\"9075712\"] \n  2 -> 16 [size =\"9075712\"]\n  2 -> 18 [size =\"9075712\"]\n  2 -> 20 [size =\"9075712\"]\n  2 -> 21 [size =\"9075712\"]\n  2 -> 27 [size =\"9075712\"]\n  3 [size=\"151934293\", alpha=\"0.01\", expect_size=\"45580288\"] \n  3 -> 15 [size =\"45580288\"]\n  3 -> 17 [size =\"45580288\"]\n  3 -> 21 [size =\"45580288\"]\n  3 -> 22 [size =\"45580288\"]\n  3 -> 24 [size =\"45580288\"]\n  4 [size=\"166410240\", alpha=\"0.19\", expect_size=\"49923072\"] \n  4 -> 15 [size =\"49923072\"]\n  4 -> 22 [size =\"49923072\"]\n  4 -> 27 [size =\"49923072\"]\n  5 [size=\"42721280\", alpha=\"0.03\", expect_size=\"12816384\"] \n  5 -> 26 [size =\"12816384\"]\n  6 [size=\"33423360\", alpha=\"0.10\", expect_size=\"10027008\"] \n  6 -> 18 [size =\"10027008\"]\n  7 [size=\"172574720\", alpha=\"0.06\", expect_size=\"51772416\"] \n  7 -> 15 [size =\"51772416\"]\n  7 -> 22 [size =\"51772416\"]\n  7 -> 24 [size =\"51772416\"]\n  8 [size=\"43212800\", alpha=\"0.09\", expect_size=\"12963840\"] \n  8 -> 16 [size =\"12963840\"]\n  8 -> 19 [size =\"12963840\"]\n  8 -> 22 [size =\"12963840\"]\n  8 -> 23 [size =\"12963840\"]\n  8 -> 24 [size =\"12963840\"]\n  9 [size=\"167246507\", alpha=\"0.11\", expect_size=\"50173952\"] \n  9 -> 15 [size =\"50173952\"]\n  9 -> 19 [size =\"50173952\"]\n  9 -> 20 [size =\"50173952\"]\n  9 -> 22 [size =\"50173952\"]\n  9 -> 25 [size =\"50173952\"]\n  9 -> 27 [size =\"50173952\"]\n  10 [size=\"72492373\", alpha=\"0.14\", expect_size=\"21747712\"] \n  10 -> 15 [size =\"21747712\"]\n  10 -> 16 [size =\"21747712\"]\n  10 -> 18 [size =\"21747712\"]\n  10 -> 25 [size =\"21747712\"]\n  10 -> 27 [size =\"21747712\"]\n  11 [size=\"22562133\", alpha=\"0.13\", expect_size=\"6768640\"] \n  11 -> 16 [size =\"6768640\"]\n  11 -> 25 [size =\"6768640\"]\n  11 -> 27 [size =\"6768640\"]\n  12 [size=\"107874987\", alpha=\"0.01\", expect_size=\"32362496\"] \n  12 -> 15 [size =\"32362496\"]\n  12 -> 16 [size =\"32362496\"]\n  13 [size=\"30504960\", alpha=\"0.06\", expect_size=\"9151488\"] \n  13 -> 19 [size =\"9151488\"]\n  14 [size=\"40478720\", alpha=\"0.10\", expect_size=\"12143616\"] \n  14 -> 21 [size =\"12143616\"]\n  15 [size=\"33549653\", alpha=\"0.14\", expect_size=\"10064896\"] \n  15 -> 28 [size =\"10064896\"]\n  15 -> 32 [size =\"10064896\"]\n  15 -> 32 [size =\"10064896\"]\n  15 -> 33 [size =\"10064896\"]\n  15 -> 34 [size =\"10064896\"]\n  15 -> 35 [size =\"10064896\"]\n  16 [size=\"57685333\", alpha=\"0.01\", expect_size=\"17305600\"] \n  16 -> 32 [size =\"17305600\"]\n  16 -> 34 [size =\"17305600\"]\n  16 -> 35 [size =\"17305600\"]\n  16 -> 36 [size =\"17305600\"]\n  17 [size=\"135280640\", alpha=\"0.18\", expect_size=\"40584192\"] \n  17 -> 29 [size =\"40584192\"]\n  17 -> 33 [size =\"40584192\"]\n  17 -> 34 [size =\"40584192\"]\n  17 -> 35 [size =\"40584192\"]\n  17 -> 36 [size =\"40584192\"]\n  17 -> 37 [size =\"40584192\"]\n  17 -> 38 [size =\"40584192\"]\n  18 [size=\"23412053\", alpha=\"0.17\", expect_size=\"7023616\"] \n  18 -> 28 [size =\"7023616\"]\n  18 -> 34 [size =\"7023616\"]\n  18 -> 34 [size =\"7023616\"]\n  18 -> 35 [size =\"7023616\"]\n  18 -> 38 [size =\"7023616\"]\n  19 [size=\"97327787\", alpha=\"0.04\", expect_size=\"29198336\"] \n  19 -> 30 [size =\"29198336\"]\n  19 -> 36 [size =\"29198336\"]\n  20 [size=\"29467307\", alpha=\"0.17\", expect_size=\"8840192\"] \n  20 -> 28 [size =\"8840192\"]\n  20 -> 32 [size =\"8840192\"]\n  20 -> 37 [size =\"8840192\"]\n  20 -> 38 [size =\"8840192\"]\n  21 [size=\"136250027\", alpha=\"0.04\", expect_size=\"40875008\"] \n  21 -> 31 [size =\"40875008\"]\n  21 -> 34 [size =\"40875008\"]\n  22 [size=\"79291733\", alpha=\"0.13\", expect_size=\"23787520\"] \n  22 -> 31 [size =\"23787520\"]\n  22 -> 33 [size =\"23787520\"]\n  22 -> 37 [size =\"23787520\"]\n  23 [size=\"85879467\", alpha=\"0.19\", expect_size=\"25763840\"] \n  23 -> 29 [size =\"25763840\"]\n  23 -> 30 [size =\"25763840\"]\n  23 -> 31 [size =\"25763840\"]\n  23 -> 33 [size =\"25763840\"]\n  24 [size=\"131758080\", alpha=\"0.04\", expect_size=\"39527424\"] \n  24 -> 35 [size =\"39527424\"]\n  24 -> 37 [size =\"39527424\"]\n  25 [size=\"53428907\", alpha=\"0.12\", expect_size=\"16028672\"] \n  25 -> 28 [size =\"16028672\"]\n  25 -> 31 [size =\"16028672\"]\n  25 -> 33 [size =\"16028672\"]\n  25 -> 37 [size =\"16028672\"]\n  26 [size=\"159839573\", alpha=\"0.02\", expect_size=\"47951872\"] \n  26 -> 28 [size =\"47951872\"]\n  26 -> 31 [size =\"47951872\"]\n  26 -> 32 [size =\"47951872\"]\n  26 -> 38 [size =\"47951872\"]\n  27 [size=\"164075520\", alpha=\"0.12\", expect_size=\"49222656\"] \n  27 -> 28 [size =\"49222656\"]\n  27 -> 31 [size =\"49222656\"]\n  27 -> 32 [size =\"49222656\"]\n  27 -> 33 [size =\"49222656\"]\n  27 -> 37 [size =\"49222656\"]\n  27 -> 38 [size =\"49222656\"]\n  28 [size=\"144595627\", alpha=\"0.05\", expect_size=\"43378688\"] \n  28 -> 49 [size =\"43378688\"]\n  29 [size=\"119565653\", alpha=\"0.17\", expect_size=\"35869696\"] \n  29 -> 42 [size =\"35869696\"]\n  29 -> 44 [size =\"35869696\"]\n  29 -> 46 [size =\"35869696\"]\n  29 -> 49 [size =\"35869696\"]\n  29 -> 50 [size =\"35869696\"]\n  30 [size=\"150545067\", alpha=\"0.17\", expect_size=\"45163520\"] \n  30 -> 43 [size =\"45163520\"]\n  30 -> 46 [size =\"45163520\"]\n  30 -> 46 [size =\"45163520\"]\n  30 -> 47 [size =\"45163520\"]\n  31 [size=\"126201173\", alpha=\"0.17\", expect_size=\"37860352\"] \n  31 -> 48 [size =\"37860352\"]\n  32 [size=\"158972587\", alpha=\"0.08\", expect_size=\"47691776\"] \n  32 -> 40 [size =\"47691776\"]\n  32 -> 42 [size =\"47691776\"]\n  33 [size=\"104349013\", alpha=\"0.01\", expect_size=\"31304704\"] \n  33 -> 39 [size =\"31304704\"]\n  33 -> 43 [size =\"31304704\"]\n  33 -> 45 [size =\"31304704\"]\n  33 -> 46 [size =\"31304704\"]\n  33 -> 49 [size =\"31304704\"]\n  34 [size=\"96791893\", alpha=\"0.17\", expect_size=\"29037568\"] \n  34 -> 41 [size =\"29037568\"]\n  34 -> 44 [size =\"29037568\"]\n  34 -> 47 [size =\"29037568\"]\n  35 [size=\"127952213\", alpha=\"0.15\", expect_size=\"38385664\"] \n  35 -> 40 [size =\"38385664\"]\n  35 -> 41 [size =\"38385664\"]\n  35 -> 42 [size =\"38385664\"]\n  35 -> 44 [size =\"38385664\"]\n  35 -> 45 [size =\"38385664\"]\n  36 [size=\"65792000\", alpha=\"0.18\", expect_size=\"19737600\"] \n  36 -> 42 [size =\"19737600\"]\n  36 -> 49 [size =\"19737600\"]\n  37 [size=\"83544747\", alpha=\"0.16\", expect_size=\"25063424\"] \n  37 -> 40 [size =\"25063424\"]\n  37 -> 45 [size =\"25063424\"]\n  38 [size=\"21736107\", alpha=\"0.15\", expect_size=\"6520832\"] \n  38 -> 40 [size =\"6520832\"]\n  38 -> 42 [size =\"6520832\"]\n  38 -> 46 [size =\"6520832\"]\n  38 -> 47 [size =\"6520832\"]\n  38 -> 48 [size =\"6520832\"]\n  38 -> 49 [size =\"6520832\"]\n  39 [size=\"63399253\", alpha=\"0.04\", expect_size=\"19019776\"] \n  40 [size=\"43724800\", alpha=\"0.14\", expect_size=\"13117440\"] \n  41 [size=\"17732267\", alpha=\"0.20\", expect_size=\"5319680\"] \n  42 [size=\"147800747\", alpha=\"0.13\", expect_size=\"44340224\"] \n  43 [size=\"52466347\", alpha=\"0.15\", expect_size=\"15739904\"] \n  44 [size=\"59333973\", alpha=\"0.12\", expect_size=\"17800192\"] \n  45 [size=\"34119680\", alpha=\"0.13\", expect_size=\"10235904\"] \n  46 [size=\"150190080\", alpha=\"0.13\", expect_size=\"45057024\"] \n  47 [size=\"133184853\", alpha=\"0.11\", expect_size=\"39955456\"] \n  48 [size=\"100901547\", alpha=\"0.05\", expect_size=\"30270464\"] \n  49 [size=\"59282773\", alpha=\"0.12\", expect_size=\"17784832\"] \n  50 [size=\"88180053\", alpha=\"0.16\", expect_size=\"26454016\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.905.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81756160\", alpha=\"0.15\", expect_size=\"32702464\"] \n  1 -> 22 [size =\"32702464\"]\n  1 -> 23 [size =\"32702464\"]\n  2 [size=\"33198080\", alpha=\"0.14\", expect_size=\"13279232\"] \n  2 -> 21 [size =\"13279232\"]\n  2 -> 22 [size =\"13279232\"]\n  2 -> 23 [size =\"13279232\"]\n  2 -> 26 [size =\"13279232\"]\n  2 -> 28 [size =\"13279232\"]\n  3 [size=\"57088000\", alpha=\"0.17\", expect_size=\"22835200\"] \n  3 -> 17 [size =\"22835200\"]\n  3 -> 21 [size =\"22835200\"]\n  3 -> 22 [size =\"22835200\"]\n  3 -> 23 [size =\"22835200\"]\n  4 [size=\"77931520\", alpha=\"0.17\", expect_size=\"31172608\"] \n  4 -> 16 [size =\"31172608\"]\n  4 -> 21 [size =\"31172608\"]\n  4 -> 22 [size =\"31172608\"]\n  4 -> 26 [size =\"31172608\"]\n  4 -> 28 [size =\"31172608\"]\n  5 [size=\"15800320\", alpha=\"0.11\", expect_size=\"6320128\"] \n  5 -> 17 [size =\"6320128\"]\n  5 -> 20 [size =\"6320128\"]\n  5 -> 21 [size =\"6320128\"]\n  5 -> 22 [size =\"6320128\"]\n  5 -> 23 [size =\"6320128\"]\n  5 -> 26 [size =\"6320128\"]\n  6 [size=\"63152640\", alpha=\"0.12\", expect_size=\"25261056\"] \n  6 -> 16 [size =\"25261056\"]\n  6 -> 17 [size =\"25261056\"]\n  6 -> 19 [size =\"25261056\"]\n  6 -> 23 [size =\"25261056\"]\n  6 -> 23 [size =\"25261056\"]\n  6 -> 26 [size =\"25261056\"]\n  7 [size=\"59225600\", alpha=\"0.15\", expect_size=\"23690240\"] \n  7 -> 19 [size =\"23690240\"]\n  7 -> 26 [size =\"23690240\"]\n  7 -> 27 [size =\"23690240\"]\n  7 -> 28 [size =\"23690240\"]\n  8 [size=\"27438080\", alpha=\"0.07\", expect_size=\"10975232\"] \n  8 -> 17 [size =\"10975232\"]\n  8 -> 24 [size =\"10975232\"]\n  8 -> 25 [size =\"10975232\"]\n  8 -> 26 [size =\"10975232\"]\n  8 -> 28 [size =\"10975232\"]\n  9 [size=\"29201920\", alpha=\"0.16\", expect_size=\"11680768\"] \n  9 -> 17 [size =\"11680768\"]\n  9 -> 22 [size =\"11680768\"]\n  9 -> 24 [size =\"11680768\"]\n  9 -> 26 [size =\"11680768\"]\n  9 -> 27 [size =\"11680768\"]\n  10 [size=\"101647360\", alpha=\"0.10\", expect_size=\"40658944\"] \n  10 -> 19 [size =\"40658944\"]\n  10 -> 20 [size =\"40658944\"]\n  10 -> 22 [size =\"40658944\"]\n  10 -> 23 [size =\"40658944\"]\n  10 -> 26 [size =\"40658944\"]\n  10 -> 28 [size =\"40658944\"]\n  11 [size=\"21711360\", alpha=\"0.18\", expect_size=\"8684544\"] \n  11 -> 19 [size =\"8684544\"]\n  11 -> 21 [size =\"8684544\"]\n  11 -> 23 [size =\"8684544\"]\n  11 -> 26 [size =\"8684544\"]\n  11 -> 26 [size =\"8684544\"]\n  11 -> 27 [size =\"8684544\"]\n  11 -> 28 [size =\"8684544\"]\n  12 [size=\"111818240\", alpha=\"0.18\", expect_size=\"44727296\"] \n  12 -> 21 [size =\"44727296\"]\n  12 -> 27 [size =\"44727296\"]\n  13 [size=\"73658880\", alpha=\"0.20\", expect_size=\"29463552\"] \n  13 -> 17 [size =\"29463552\"]\n  13 -> 19 [size =\"29463552\"]\n  13 -> 21 [size =\"29463552\"]\n  14 [size=\"57694720\", alpha=\"0.14\", expect_size=\"23077888\"] \n  14 -> 17 [size =\"23077888\"]\n  14 -> 21 [size =\"23077888\"]\n  14 -> 22 [size =\"23077888\"]\n  15 [size=\"42752000\", alpha=\"0.07\", expect_size=\"17100800\"] \n  15 -> 18 [size =\"17100800\"]\n  15 -> 21 [size =\"17100800\"]\n  15 -> 22 [size =\"17100800\"]\n  15 -> 23 [size =\"17100800\"]\n  16 [size=\"106142720\", alpha=\"0.17\", expect_size=\"42457088\"] \n  16 -> 31 [size =\"42457088\"]\n  16 -> 37 [size =\"42457088\"]\n  16 -> 41 [size =\"42457088\"]\n  17 [size=\"58767360\", alpha=\"0.09\", expect_size=\"23506944\"] \n  17 -> 30 [size =\"23506944\"]\n  17 -> 32 [size =\"23506944\"]\n  17 -> 37 [size =\"23506944\"]\n  17 -> 38 [size =\"23506944\"]\n  18 [size=\"28503040\", alpha=\"0.16\", expect_size=\"11401216\"] \n  18 -> 31 [size =\"11401216\"]\n  18 -> 32 [size =\"11401216\"]\n  18 -> 33 [size =\"11401216\"]\n  18 -> 35 [size =\"11401216\"]\n  18 -> 37 [size =\"11401216\"]\n  18 -> 38 [size =\"11401216\"]\n  18 -> 41 [size =\"11401216\"]\n  19 [size=\"70387200\", alpha=\"0.16\", expect_size=\"28154880\"] \n  19 -> 29 [size =\"28154880\"]\n  19 -> 35 [size =\"28154880\"]\n  19 -> 37 [size =\"28154880\"]\n  19 -> 38 [size =\"28154880\"]\n  19 -> 41 [size =\"28154880\"]\n  19 -> 42 [size =\"28154880\"]\n  20 [size=\"45962240\", alpha=\"0.18\", expect_size=\"18384896\"] \n  20 -> 30 [size =\"18384896\"]\n  20 -> 33 [size =\"18384896\"]\n  20 -> 34 [size =\"18384896\"]\n  20 -> 37 [size =\"18384896\"]\n  20 -> 41 [size =\"18384896\"]\n  20 -> 42 [size =\"18384896\"]\n  21 [size=\"105697280\", alpha=\"0.11\", expect_size=\"42278912\"] \n  21 -> 29 [size =\"42278912\"]\n  21 -> 31 [size =\"42278912\"]\n  21 -> 33 [size =\"42278912\"]\n  21 -> 40 [size =\"42278912\"]\n  21 -> 43 [size =\"42278912\"]\n  22 [size=\"94407680\", alpha=\"0.08\", expect_size=\"37763072\"] \n  22 -> 29 [size =\"37763072\"]\n  22 -> 32 [size =\"37763072\"]\n  22 -> 34 [size =\"37763072\"]\n  22 -> 35 [size =\"37763072\"]\n  22 -> 38 [size =\"37763072\"]\n  23 [size=\"84513280\", alpha=\"0.13\", expect_size=\"33805312\"] \n  23 -> 30 [size =\"33805312\"]\n  23 -> 32 [size =\"33805312\"]\n  24 [size=\"82859520\", alpha=\"0.08\", expect_size=\"33143808\"] \n  24 -> 30 [size =\"33143808\"]\n  24 -> 32 [size =\"33143808\"]\n  24 -> 33 [size =\"33143808\"]\n  24 -> 38 [size =\"33143808\"]\n  24 -> 40 [size =\"33143808\"]\n  24 -> 42 [size =\"33143808\"]\n  25 [size=\"44536320\", alpha=\"0.04\", expect_size=\"17814528\"] \n  25 -> 35 [size =\"17814528\"]\n  25 -> 38 [size =\"17814528\"]\n  25 -> 41 [size =\"17814528\"]\n  25 -> 42 [size =\"17814528\"]\n  26 [size=\"88552960\", alpha=\"0.08\", expect_size=\"35421184\"] \n  26 -> 29 [size =\"35421184\"]\n  26 -> 35 [size =\"35421184\"]\n  26 -> 38 [size =\"35421184\"]\n  26 -> 41 [size =\"35421184\"]\n  26 -> 42 [size =\"35421184\"]\n  26 -> 43 [size =\"35421184\"]\n  27 [size=\"72325120\", alpha=\"0.00\", expect_size=\"28930048\"] \n  27 -> 30 [size =\"28930048\"]\n  27 -> 32 [size =\"28930048\"]\n  27 -> 38 [size =\"28930048\"]\n  27 -> 39 [size =\"28930048\"]\n  27 -> 42 [size =\"28930048\"]\n  28 [size=\"125084160\", alpha=\"0.15\", expect_size=\"50033664\"] \n  28 -> 32 [size =\"50033664\"]\n  28 -> 33 [size =\"50033664\"]\n  28 -> 36 [size =\"50033664\"]\n  28 -> 37 [size =\"50033664\"]\n  28 -> 38 [size =\"50033664\"]\n  28 -> 41 [size =\"50033664\"]\n  29 [size=\"104322560\", alpha=\"0.12\", expect_size=\"41729024\"] \n  29 -> 47 [size =\"41729024\"]\n  29 -> 48 [size =\"41729024\"]\n  29 -> 49 [size =\"41729024\"]\n  30 [size=\"80657920\", alpha=\"0.04\", expect_size=\"32263168\"] \n  30 -> 44 [size =\"32263168\"]\n  30 -> 45 [size =\"32263168\"]\n  30 -> 49 [size =\"32263168\"]\n  31 [size=\"67929600\", alpha=\"0.18\", expect_size=\"27171840\"] \n  31 -> 45 [size =\"27171840\"]\n  31 -> 45 [size =\"27171840\"]\n  31 -> 47 [size =\"27171840\"]\n  31 -> 49 [size =\"27171840\"]\n  32 [size=\"16826880\", alpha=\"0.08\", expect_size=\"6730752\"] \n  32 -> 44 [size =\"6730752\"]\n  32 -> 45 [size =\"6730752\"]\n  32 -> 49 [size =\"6730752\"]\n  32 -> 49 [size =\"6730752\"]\n  33 [size=\"65408000\", alpha=\"0.09\", expect_size=\"26163200\"] \n  33 -> 44 [size =\"26163200\"]\n  33 -> 46 [size =\"26163200\"]\n  33 -> 47 [size =\"26163200\"]\n  34 [size=\"21721600\", alpha=\"0.17\", expect_size=\"8688640\"] \n  34 -> 44 [size =\"8688640\"]\n  34 -> 45 [size =\"8688640\"]\n  34 -> 49 [size =\"8688640\"]\n  35 [size=\"68561920\", alpha=\"0.11\", expect_size=\"27424768\"] \n  35 -> 44 [size =\"27424768\"]\n  35 -> 46 [size =\"27424768\"]\n  35 -> 47 [size =\"27424768\"]\n  36 [size=\"90654720\", alpha=\"0.20\", expect_size=\"36261888\"] \n  36 -> 44 [size =\"36261888\"]\n  36 -> 47 [size =\"36261888\"]\n  36 -> 49 [size =\"36261888\"]\n  36 -> 50 [size =\"36261888\"]\n  37 [size=\"20088320\", alpha=\"0.17\", expect_size=\"8035328\"] \n  37 -> 44 [size =\"8035328\"]\n  37 -> 45 [size =\"8035328\"]\n  37 -> 46 [size =\"8035328\"]\n  37 -> 47 [size =\"8035328\"]\n  37 -> 49 [size =\"8035328\"]\n  38 [size=\"20940800\", alpha=\"0.16\", expect_size=\"8376320\"] \n  38 -> 47 [size =\"8376320\"]\n  38 -> 49 [size =\"8376320\"]\n  39 [size=\"107548160\", alpha=\"0.05\", expect_size=\"43019264\"] \n  39 -> 47 [size =\"43019264\"]\n  39 -> 48 [size =\"43019264\"]\n  40 [size=\"60072960\", alpha=\"0.00\", expect_size=\"24029184\"] \n  40 -> 46 [size =\"24029184\"]\n  40 -> 47 [size =\"24029184\"]\n  40 -> 48 [size =\"24029184\"]\n  40 -> 49 [size =\"24029184\"]\n  41 [size=\"85025280\", alpha=\"0.11\", expect_size=\"34010112\"] \n  41 -> 46 [size =\"34010112\"]\n  41 -> 47 [size =\"34010112\"]\n  41 -> 48 [size =\"34010112\"]\n  42 [size=\"73041920\", alpha=\"0.15\", expect_size=\"29216768\"] \n  42 -> 48 [size =\"29216768\"]\n  43 [size=\"122839040\", alpha=\"0.11\", expect_size=\"49135616\"] \n  43 -> 44 [size =\"49135616\"]\n  43 -> 47 [size =\"49135616\"]\n  43 -> 50 [size =\"49135616\"]\n  44 [size=\"59036160\", alpha=\"0.19\", expect_size=\"23614464\"] \n  45 [size=\"44188160\", alpha=\"0.13\", expect_size=\"17675264\"] \n  46 [size=\"107942400\", alpha=\"0.19\", expect_size=\"43176960\"] \n  47 [size=\"107404800\", alpha=\"0.15\", expect_size=\"42961920\"] \n  48 [size=\"88235520\", alpha=\"0.11\", expect_size=\"35294208\"] \n  49 [size=\"65832960\", alpha=\"0.01\", expect_size=\"26333184\"] \n  50 [size=\"97477120\", alpha=\"0.04\", expect_size=\"38990848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.906.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66017280\", alpha=\"0.20\", expect_size=\"26406912\"] \n  1 -> 13 [size =\"26406912\"]\n  1 -> 16 [size =\"26406912\"]\n  1 -> 18 [size =\"26406912\"]\n  1 -> 20 [size =\"26406912\"]\n  1 -> 21 [size =\"26406912\"]\n  1 -> 22 [size =\"26406912\"]\n  1 -> 24 [size =\"26406912\"]\n  1 -> 26 [size =\"26406912\"]\n  2 [size=\"102602240\", alpha=\"0.07\", expect_size=\"41040896\"] \n  2 -> 13 [size =\"41040896\"]\n  2 -> 14 [size =\"41040896\"]\n  2 -> 16 [size =\"41040896\"]\n  2 -> 19 [size =\"41040896\"]\n  2 -> 22 [size =\"41040896\"]\n  2 -> 22 [size =\"41040896\"]\n  2 -> 24 [size =\"41040896\"]\n  3 [size=\"118074880\", alpha=\"0.13\", expect_size=\"47229952\"] \n  3 -> 13 [size =\"47229952\"]\n  3 -> 14 [size =\"47229952\"]\n  3 -> 19 [size =\"47229952\"]\n  3 -> 24 [size =\"47229952\"]\n  3 -> 26 [size =\"47229952\"]\n  4 [size=\"30901760\", alpha=\"0.16\", expect_size=\"12360704\"] \n  4 -> 13 [size =\"12360704\"]\n  4 -> 14 [size =\"12360704\"]\n  4 -> 18 [size =\"12360704\"]\n  4 -> 21 [size =\"12360704\"]\n  4 -> 24 [size =\"12360704\"]\n  4 -> 25 [size =\"12360704\"]\n  4 -> 26 [size =\"12360704\"]\n  5 [size=\"58350080\", alpha=\"0.18\", expect_size=\"23340032\"] \n  5 -> 14 [size =\"23340032\"]\n  5 -> 14 [size =\"23340032\"]\n  5 -> 19 [size =\"23340032\"]\n  5 -> 20 [size =\"23340032\"]\n  5 -> 22 [size =\"23340032\"]\n  5 -> 23 [size =\"23340032\"]\n  5 -> 24 [size =\"23340032\"]\n  6 [size=\"42012160\", alpha=\"0.04\", expect_size=\"16804864\"] \n  6 -> 16 [size =\"16804864\"]\n  6 -> 18 [size =\"16804864\"]\n  6 -> 20 [size =\"16804864\"]\n  6 -> 21 [size =\"16804864\"]\n  7 [size=\"47703040\", alpha=\"0.04\", expect_size=\"19081216\"] \n  7 -> 13 [size =\"19081216\"]\n  7 -> 18 [size =\"19081216\"]\n  7 -> 20 [size =\"19081216\"]\n  7 -> 23 [size =\"19081216\"]\n  7 -> 24 [size =\"19081216\"]\n  7 -> 26 [size =\"19081216\"]\n  8 [size=\"81090560\", alpha=\"0.15\", expect_size=\"32436224\"] \n  8 -> 16 [size =\"32436224\"]\n  8 -> 18 [size =\"32436224\"]\n  8 -> 22 [size =\"32436224\"]\n  8 -> 23 [size =\"32436224\"]\n  8 -> 26 [size =\"32436224\"]\n  8 -> 26 [size =\"32436224\"]\n  9 [size=\"50511360\", alpha=\"0.10\", expect_size=\"20204544\"] \n  9 -> 13 [size =\"20204544\"]\n  9 -> 14 [size =\"20204544\"]\n  9 -> 18 [size =\"20204544\"]\n  9 -> 20 [size =\"20204544\"]\n  9 -> 22 [size =\"20204544\"]\n  9 -> 23 [size =\"20204544\"]\n  10 [size=\"89451520\", alpha=\"0.17\", expect_size=\"35780608\"] \n  10 -> 15 [size =\"35780608\"]\n  10 -> 16 [size =\"35780608\"]\n  10 -> 18 [size =\"35780608\"]\n  10 -> 20 [size =\"35780608\"]\n  11 [size=\"25940480\", alpha=\"0.13\", expect_size=\"10376192\"] \n  11 -> 16 [size =\"10376192\"]\n  11 -> 17 [size =\"10376192\"]\n  11 -> 18 [size =\"10376192\"]\n  11 -> 19 [size =\"10376192\"]\n  11 -> 20 [size =\"10376192\"]\n  11 -> 21 [size =\"10376192\"]\n  11 -> 22 [size =\"10376192\"]\n  12 [size=\"24133120\", alpha=\"0.16\", expect_size=\"9653248\"] \n  12 -> 14 [size =\"9653248\"]\n  12 -> 16 [size =\"9653248\"]\n  12 -> 20 [size =\"9653248\"]\n  12 -> 21 [size =\"9653248\"]\n  12 -> 22 [size =\"9653248\"]\n  12 -> 25 [size =\"9653248\"]\n  13 [size=\"64757760\", alpha=\"0.04\", expect_size=\"25903104\"] \n  13 -> 30 [size =\"25903104\"]\n  13 -> 31 [size =\"25903104\"]\n  13 -> 34 [size =\"25903104\"]\n  13 -> 36 [size =\"25903104\"]\n  13 -> 38 [size =\"25903104\"]\n  14 [size=\"25297920\", alpha=\"0.07\", expect_size=\"10119168\"] \n  14 -> 27 [size =\"10119168\"]\n  14 -> 31 [size =\"10119168\"]\n  14 -> 34 [size =\"10119168\"]\n  14 -> 37 [size =\"10119168\"]\n  14 -> 38 [size =\"10119168\"]\n  15 [size=\"118530560\", alpha=\"0.12\", expect_size=\"47412224\"] \n  15 -> 28 [size =\"47412224\"]\n  15 -> 31 [size =\"47412224\"]\n  15 -> 34 [size =\"47412224\"]\n  15 -> 36 [size =\"47412224\"]\n  15 -> 38 [size =\"47412224\"]\n  16 [size=\"109219840\", alpha=\"0.04\", expect_size=\"43687936\"] \n  16 -> 27 [size =\"43687936\"]\n  16 -> 28 [size =\"43687936\"]\n  16 -> 29 [size =\"43687936\"]\n  16 -> 30 [size =\"43687936\"]\n  16 -> 31 [size =\"43687936\"]\n  16 -> 32 [size =\"43687936\"]\n  17 [size=\"15265280\", alpha=\"0.01\", expect_size=\"6106112\"] \n  17 -> 28 [size =\"6106112\"]\n  17 -> 28 [size =\"6106112\"]\n  17 -> 30 [size =\"6106112\"]\n  17 -> 31 [size =\"6106112\"]\n  17 -> 31 [size =\"6106112\"]\n  17 -> 33 [size =\"6106112\"]\n  17 -> 34 [size =\"6106112\"]\n  17 -> 35 [size =\"6106112\"]\n  17 -> 37 [size =\"6106112\"]\n  18 [size=\"38689280\", alpha=\"0.06\", expect_size=\"15475712\"] \n  18 -> 30 [size =\"15475712\"]\n  18 -> 31 [size =\"15475712\"]\n  18 -> 33 [size =\"15475712\"]\n  18 -> 37 [size =\"15475712\"]\n  19 [size=\"126100480\", alpha=\"0.08\", expect_size=\"50440192\"] \n  19 -> 27 [size =\"50440192\"]\n  19 -> 28 [size =\"50440192\"]\n  19 -> 30 [size =\"50440192\"]\n  19 -> 33 [size =\"50440192\"]\n  19 -> 36 [size =\"50440192\"]\n  19 -> 37 [size =\"50440192\"]\n  20 [size=\"69322240\", alpha=\"0.19\", expect_size=\"27728896\"] \n  20 -> 30 [size =\"27728896\"]\n  20 -> 31 [size =\"27728896\"]\n  20 -> 33 [size =\"27728896\"]\n  20 -> 36 [size =\"27728896\"]\n  20 -> 37 [size =\"27728896\"]\n  21 [size=\"49955840\", alpha=\"0.19\", expect_size=\"19982336\"] \n  21 -> 30 [size =\"19982336\"]\n  21 -> 32 [size =\"19982336\"]\n  21 -> 35 [size =\"19982336\"]\n  21 -> 36 [size =\"19982336\"]\n  22 [size=\"129402880\", alpha=\"0.14\", expect_size=\"51761152\"] \n  22 -> 27 [size =\"51761152\"]\n  22 -> 33 [size =\"51761152\"]\n  22 -> 36 [size =\"51761152\"]\n  22 -> 37 [size =\"51761152\"]\n  22 -> 38 [size =\"51761152\"]\n  23 [size=\"105103360\", alpha=\"0.06\", expect_size=\"42041344\"] \n  23 -> 29 [size =\"42041344\"]\n  23 -> 35 [size =\"42041344\"]\n  23 -> 37 [size =\"42041344\"]\n  23 -> 37 [size =\"42041344\"]\n  23 -> 38 [size =\"42041344\"]\n  24 [size=\"126912000\", alpha=\"0.02\", expect_size=\"50764800\"] \n  24 -> 30 [size =\"50764800\"]\n  24 -> 34 [size =\"50764800\"]\n  24 -> 36 [size =\"50764800\"]\n  24 -> 38 [size =\"50764800\"]\n  25 [size=\"50708480\", alpha=\"0.05\", expect_size=\"20283392\"] \n  25 -> 29 [size =\"20283392\"]\n  25 -> 30 [size =\"20283392\"]\n  25 -> 36 [size =\"20283392\"]\n  25 -> 37 [size =\"20283392\"]\n  25 -> 38 [size =\"20283392\"]\n  26 [size=\"118732800\", alpha=\"0.14\", expect_size=\"47493120\"] \n  26 -> 30 [size =\"47493120\"]\n  26 -> 34 [size =\"47493120\"]\n  26 -> 36 [size =\"47493120\"]\n  26 -> 37 [size =\"47493120\"]\n  26 -> 38 [size =\"47493120\"]\n  27 [size=\"25075200\", alpha=\"0.08\", expect_size=\"10030080\"] \n  27 -> 40 [size =\"10030080\"]\n  27 -> 42 [size =\"10030080\"]\n  27 -> 48 [size =\"10030080\"]\n  27 -> 49 [size =\"10030080\"]\n  28 [size=\"28346880\", alpha=\"0.14\", expect_size=\"11338752\"] \n  28 -> 42 [size =\"11338752\"]\n  28 -> 45 [size =\"11338752\"]\n  28 -> 46 [size =\"11338752\"]\n  28 -> 50 [size =\"11338752\"]\n  29 [size=\"65815040\", alpha=\"0.06\", expect_size=\"26326016\"] \n  29 -> 40 [size =\"26326016\"]\n  29 -> 42 [size =\"26326016\"]\n  29 -> 47 [size =\"26326016\"]\n  29 -> 48 [size =\"26326016\"]\n  29 -> 49 [size =\"26326016\"]\n  30 [size=\"114557440\", alpha=\"0.11\", expect_size=\"45822976\"] \n  30 -> 42 [size =\"45822976\"]\n  30 -> 48 [size =\"45822976\"]\n  31 [size=\"108774400\", alpha=\"0.18\", expect_size=\"43509760\"] \n  31 -> 44 [size =\"43509760\"]\n  31 -> 45 [size =\"43509760\"]\n  31 -> 46 [size =\"43509760\"]\n  31 -> 50 [size =\"43509760\"]\n  32 [size=\"101378560\", alpha=\"0.07\", expect_size=\"40551424\"] \n  32 -> 40 [size =\"40551424\"]\n  32 -> 45 [size =\"40551424\"]\n  32 -> 46 [size =\"40551424\"]\n  32 -> 49 [size =\"40551424\"]\n  33 [size=\"63902720\", alpha=\"0.04\", expect_size=\"25561088\"] \n  33 -> 40 [size =\"25561088\"]\n  33 -> 41 [size =\"25561088\"]\n  33 -> 43 [size =\"25561088\"]\n  33 -> 45 [size =\"25561088\"]\n  33 -> 47 [size =\"25561088\"]\n  33 -> 49 [size =\"25561088\"]\n  34 [size=\"101314560\", alpha=\"0.04\", expect_size=\"40525824\"] \n  34 -> 39 [size =\"40525824\"]\n  34 -> 42 [size =\"40525824\"]\n  34 -> 45 [size =\"40525824\"]\n  34 -> 47 [size =\"40525824\"]\n  35 [size=\"113443840\", alpha=\"0.02\", expect_size=\"45377536\"] \n  35 -> 41 [size =\"45377536\"]\n  35 -> 42 [size =\"45377536\"]\n  35 -> 43 [size =\"45377536\"]\n  35 -> 48 [size =\"45377536\"]\n  35 -> 49 [size =\"45377536\"]\n  35 -> 50 [size =\"45377536\"]\n  36 [size=\"27573760\", alpha=\"0.16\", expect_size=\"11029504\"] \n  36 -> 40 [size =\"11029504\"]\n  36 -> 42 [size =\"11029504\"]\n  36 -> 43 [size =\"11029504\"]\n  36 -> 44 [size =\"11029504\"]\n  36 -> 45 [size =\"11029504\"]\n  36 -> 47 [size =\"11029504\"]\n  36 -> 48 [size =\"11029504\"]\n  36 -> 49 [size =\"11029504\"]\n  37 [size=\"108533760\", alpha=\"0.10\", expect_size=\"43413504\"] \n  37 -> 40 [size =\"43413504\"]\n  37 -> 42 [size =\"43413504\"]\n  37 -> 43 [size =\"43413504\"]\n  37 -> 46 [size =\"43413504\"]\n  37 -> 48 [size =\"43413504\"]\n  37 -> 49 [size =\"43413504\"]\n  38 [size=\"37030400\", alpha=\"0.09\", expect_size=\"14812160\"] \n  38 -> 40 [size =\"14812160\"]\n  38 -> 42 [size =\"14812160\"]\n  38 -> 43 [size =\"14812160\"]\n  38 -> 47 [size =\"14812160\"]\n  38 -> 48 [size =\"14812160\"]\n  38 -> 49 [size =\"14812160\"]\n  39 [size=\"116979200\", alpha=\"0.07\", expect_size=\"46791680\"] \n  40 [size=\"31887360\", alpha=\"0.14\", expect_size=\"12754944\"] \n  41 [size=\"94031360\", alpha=\"0.08\", expect_size=\"37612544\"] \n  42 [size=\"80312320\", alpha=\"0.01\", expect_size=\"32124928\"] \n  43 [size=\"119726080\", alpha=\"0.10\", expect_size=\"47890432\"] \n  44 [size=\"27993600\", alpha=\"0.19\", expect_size=\"11197440\"] \n  45 [size=\"53237760\", alpha=\"0.13\", expect_size=\"21295104\"] \n  46 [size=\"64947200\", alpha=\"0.06\", expect_size=\"25978880\"] \n  47 [size=\"41274880\", alpha=\"0.00\", expect_size=\"16509952\"] \n  48 [size=\"102346240\", alpha=\"0.17\", expect_size=\"40938496\"] \n  49 [size=\"37816320\", alpha=\"0.03\", expect_size=\"15126528\"] \n  50 [size=\"78643200\", alpha=\"0.07\", expect_size=\"31457280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.907.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50270208\", alpha=\"0.06\", expect_size=\"25135104\"] \n  1 -> 24 [size =\"25135104\"]\n  1 -> 29 [size =\"25135104\"]\n  1 -> 29 [size =\"25135104\"]\n  1 -> 41 [size =\"25135104\"]\n  1 -> 50 [size =\"25135104\"]\n  2 [size=\"36741120\", alpha=\"0.07\", expect_size=\"18370560\"] \n  2 -> 28 [size =\"18370560\"]\n  2 -> 29 [size =\"18370560\"]\n  2 -> 32 [size =\"18370560\"]\n  2 -> 35 [size =\"18370560\"]\n  2 -> 36 [size =\"18370560\"]\n  2 -> 39 [size =\"18370560\"]\n  2 -> 43 [size =\"18370560\"]\n  2 -> 44 [size =\"18370560\"]\n  2 -> 47 [size =\"18370560\"]\n  3 [size=\"79386624\", alpha=\"0.18\", expect_size=\"39693312\"] \n  3 -> 30 [size =\"39693312\"]\n  3 -> 32 [size =\"39693312\"]\n  3 -> 33 [size =\"39693312\"]\n  3 -> 34 [size =\"39693312\"]\n  3 -> 35 [size =\"39693312\"]\n  3 -> 39 [size =\"39693312\"]\n  3 -> 45 [size =\"39693312\"]\n  3 -> 46 [size =\"39693312\"]\n  3 -> 50 [size =\"39693312\"]\n  4 [size=\"30576640\", alpha=\"0.05\", expect_size=\"15288320\"] \n  4 -> 25 [size =\"15288320\"]\n  4 -> 27 [size =\"15288320\"]\n  4 -> 28 [size =\"15288320\"]\n  4 -> 31 [size =\"15288320\"]\n  4 -> 34 [size =\"15288320\"]\n  4 -> 39 [size =\"15288320\"]\n  4 -> 40 [size =\"15288320\"]\n  4 -> 41 [size =\"15288320\"]\n  4 -> 50 [size =\"15288320\"]\n  5 [size=\"71827456\", alpha=\"0.05\", expect_size=\"35913728\"] \n  5 -> 29 [size =\"35913728\"]\n  5 -> 32 [size =\"35913728\"]\n  5 -> 34 [size =\"35913728\"]\n  5 -> 37 [size =\"35913728\"]\n  5 -> 38 [size =\"35913728\"]\n  5 -> 39 [size =\"35913728\"]\n  5 -> 43 [size =\"35913728\"]\n  6 [size=\"81096704\", alpha=\"0.01\", expect_size=\"40548352\"] \n  6 -> 24 [size =\"40548352\"]\n  6 -> 32 [size =\"40548352\"]\n  6 -> 33 [size =\"40548352\"]\n  6 -> 35 [size =\"40548352\"]\n  6 -> 37 [size =\"40548352\"]\n  6 -> 38 [size =\"40548352\"]\n  6 -> 41 [size =\"40548352\"]\n  6 -> 43 [size =\"40548352\"]\n  7 [size=\"35995648\", alpha=\"0.14\", expect_size=\"17997824\"] \n  7 -> 31 [size =\"17997824\"]\n  7 -> 35 [size =\"17997824\"]\n  7 -> 38 [size =\"17997824\"]\n  7 -> 41 [size =\"17997824\"]\n  7 -> 48 [size =\"17997824\"]\n  8 [size=\"63240192\", alpha=\"0.11\", expect_size=\"31620096\"] \n  8 -> 28 [size =\"31620096\"]\n  8 -> 34 [size =\"31620096\"]\n  8 -> 41 [size =\"31620096\"]\n  8 -> 41 [size =\"31620096\"]\n  8 -> 42 [size =\"31620096\"]\n  9 [size=\"76847104\", alpha=\"0.20\", expect_size=\"38423552\"] \n  9 -> 31 [size =\"38423552\"]\n  9 -> 33 [size =\"38423552\"]\n  9 -> 35 [size =\"38423552\"]\n  9 -> 37 [size =\"38423552\"]\n  9 -> 41 [size =\"38423552\"]\n  9 -> 42 [size =\"38423552\"]\n  9 -> 46 [size =\"38423552\"]\n  9 -> 48 [size =\"38423552\"]\n  10 [size=\"30806016\", alpha=\"0.01\", expect_size=\"15403008\"] \n  10 -> 25 [size =\"15403008\"]\n  10 -> 28 [size =\"15403008\"]\n  10 -> 34 [size =\"15403008\"]\n  10 -> 35 [size =\"15403008\"]\n  10 -> 37 [size =\"15403008\"]\n  10 -> 38 [size =\"15403008\"]\n  10 -> 40 [size =\"15403008\"]\n  10 -> 41 [size =\"15403008\"]\n  10 -> 42 [size =\"15403008\"]\n  10 -> 43 [size =\"15403008\"]\n  11 [size=\"103122944\", alpha=\"0.03\", expect_size=\"51561472\"] \n  11 -> 29 [size =\"51561472\"]\n  11 -> 30 [size =\"51561472\"]\n  11 -> 35 [size =\"51561472\"]\n  11 -> 37 [size =\"51561472\"]\n  11 -> 37 [size =\"51561472\"]\n  11 -> 40 [size =\"51561472\"]\n  11 -> 42 [size =\"51561472\"]\n  11 -> 46 [size =\"51561472\"]\n  11 -> 50 [size =\"51561472\"]\n  12 [size=\"38389760\", alpha=\"0.17\", expect_size=\"19194880\"] \n  12 -> 24 [size =\"19194880\"]\n  12 -> 26 [size =\"19194880\"]\n  12 -> 29 [size =\"19194880\"]\n  12 -> 30 [size =\"19194880\"]\n  12 -> 35 [size =\"19194880\"]\n  12 -> 37 [size =\"19194880\"]\n  12 -> 39 [size =\"19194880\"]\n  12 -> 42 [size =\"19194880\"]\n  12 -> 46 [size =\"19194880\"]\n  12 -> 50 [size =\"19194880\"]\n  13 [size=\"71012352\", alpha=\"0.07\", expect_size=\"35506176\"] \n  13 -> 29 [size =\"35506176\"]\n  13 -> 30 [size =\"35506176\"]\n  13 -> 32 [size =\"35506176\"]\n  13 -> 34 [size =\"35506176\"]\n  13 -> 37 [size =\"35506176\"]\n  13 -> 40 [size =\"35506176\"]\n  13 -> 42 [size =\"35506176\"]\n  13 -> 48 [size =\"35506176\"]\n  14 [size=\"62056448\", alpha=\"0.16\", expect_size=\"31028224\"] \n  14 -> 32 [size =\"31028224\"]\n  14 -> 35 [size =\"31028224\"]\n  14 -> 37 [size =\"31028224\"]\n  14 -> 40 [size =\"31028224\"]\n  14 -> 42 [size =\"31028224\"]\n  14 -> 43 [size =\"31028224\"]\n  14 -> 46 [size =\"31028224\"]\n  15 [size=\"85651456\", alpha=\"0.11\", expect_size=\"42825728\"] \n  15 -> 30 [size =\"42825728\"]\n  15 -> 32 [size =\"42825728\"]\n  15 -> 36 [size =\"42825728\"]\n  15 -> 40 [size =\"42825728\"]\n  15 -> 42 [size =\"42825728\"]\n  15 -> 43 [size =\"42825728\"]\n  15 -> 50 [size =\"42825728\"]\n  16 [size=\"14080000\", alpha=\"0.17\", expect_size=\"7040000\"] \n  16 -> 28 [size =\"7040000\"]\n  16 -> 30 [size =\"7040000\"]\n  16 -> 32 [size =\"7040000\"]\n  16 -> 34 [size =\"7040000\"]\n  16 -> 36 [size =\"7040000\"]\n  16 -> 37 [size =\"7040000\"]\n  17 [size=\"19996672\", alpha=\"0.13\", expect_size=\"9998336\"] \n  17 -> 28 [size =\"9998336\"]\n  17 -> 34 [size =\"9998336\"]\n  17 -> 35 [size =\"9998336\"]\n  17 -> 40 [size =\"9998336\"]\n  17 -> 41 [size =\"9998336\"]\n  17 -> 43 [size =\"9998336\"]\n  17 -> 44 [size =\"9998336\"]\n  18 [size=\"85291008\", alpha=\"0.06\", expect_size=\"42645504\"] \n  18 -> 32 [size =\"42645504\"]\n  18 -> 36 [size =\"42645504\"]\n  18 -> 49 [size =\"42645504\"]\n  19 [size=\"40630272\", alpha=\"0.08\", expect_size=\"20315136\"] \n  19 -> 29 [size =\"20315136\"]\n  19 -> 31 [size =\"20315136\"]\n  19 -> 40 [size =\"20315136\"]\n  19 -> 42 [size =\"20315136\"]\n  19 -> 43 [size =\"20315136\"]\n  19 -> 44 [size =\"20315136\"]\n  19 -> 50 [size =\"20315136\"]\n  20 [size=\"39940096\", alpha=\"0.13\", expect_size=\"19970048\"] \n  20 -> 29 [size =\"19970048\"]\n  20 -> 35 [size =\"19970048\"]\n  20 -> 40 [size =\"19970048\"]\n  20 -> 41 [size =\"19970048\"]\n  20 -> 47 [size =\"19970048\"]\n  20 -> 49 [size =\"19970048\"]\n  21 [size=\"43530240\", alpha=\"0.07\", expect_size=\"21765120\"] \n  21 -> 27 [size =\"21765120\"]\n  21 -> 28 [size =\"21765120\"]\n  21 -> 32 [size =\"21765120\"]\n  21 -> 33 [size =\"21765120\"]\n  21 -> 37 [size =\"21765120\"]\n  21 -> 44 [size =\"21765120\"]\n  21 -> 48 [size =\"21765120\"]\n  22 [size=\"56573952\", alpha=\"0.06\", expect_size=\"28286976\"] \n  22 -> 28 [size =\"28286976\"]\n  22 -> 29 [size =\"28286976\"]\n  22 -> 33 [size =\"28286976\"]\n  22 -> 34 [size =\"28286976\"]\n  22 -> 41 [size =\"28286976\"]\n  22 -> 47 [size =\"28286976\"]\n  23 [size=\"41762816\", alpha=\"0.19\", expect_size=\"20881408\"] \n  23 -> 24 [size =\"20881408\"]\n  23 -> 28 [size =\"20881408\"]\n  23 -> 29 [size =\"20881408\"]\n  23 -> 31 [size =\"20881408\"]\n  23 -> 33 [size =\"20881408\"]\n  23 -> 36 [size =\"20881408\"]\n  23 -> 38 [size =\"20881408\"]\n  23 -> 39 [size =\"20881408\"]\n  23 -> 50 [size =\"20881408\"]\n  24 [size=\"75237376\", alpha=\"0.17\", expect_size=\"37618688\"] \n  25 [size=\"58298368\", alpha=\"0.08\", expect_size=\"29149184\"] \n  26 [size=\"13711360\", alpha=\"0.14\", expect_size=\"6855680\"] \n  27 [size=\"92256256\", alpha=\"0.05\", expect_size=\"46128128\"] \n  28 [size=\"58400768\", alpha=\"0.07\", expect_size=\"29200384\"] \n  29 [size=\"86296576\", alpha=\"0.03\", expect_size=\"43148288\"] \n  30 [size=\"31909888\", alpha=\"0.04\", expect_size=\"15954944\"] \n  31 [size=\"95135744\", alpha=\"0.04\", expect_size=\"47567872\"] \n  32 [size=\"32641024\", alpha=\"0.11\", expect_size=\"16320512\"] \n  33 [size=\"59426816\", alpha=\"0.10\", expect_size=\"29713408\"] \n  34 [size=\"55654400\", alpha=\"0.20\", expect_size=\"27827200\"] \n  35 [size=\"41412608\", alpha=\"0.06\", expect_size=\"20706304\"] \n  36 [size=\"78045184\", alpha=\"0.12\", expect_size=\"39022592\"] \n  37 [size=\"47423488\", alpha=\"0.01\", expect_size=\"23711744\"] \n  38 [size=\"69425152\", alpha=\"0.06\", expect_size=\"34712576\"] \n  39 [size=\"102434816\", alpha=\"0.17\", expect_size=\"51217408\"] \n  40 [size=\"24072192\", alpha=\"0.14\", expect_size=\"12036096\"] \n  41 [size=\"43399168\", alpha=\"0.18\", expect_size=\"21699584\"] \n  42 [size=\"64313344\", alpha=\"0.12\", expect_size=\"32156672\"] \n  43 [size=\"20344832\", alpha=\"0.13\", expect_size=\"10172416\"] \n  44 [size=\"66394112\", alpha=\"0.07\", expect_size=\"33197056\"] \n  45 [size=\"65290240\", alpha=\"0.11\", expect_size=\"32645120\"] \n  46 [size=\"92196864\", alpha=\"0.17\", expect_size=\"46098432\"] \n  47 [size=\"56338432\", alpha=\"0.19\", expect_size=\"28169216\"] \n  48 [size=\"61599744\", alpha=\"0.12\", expect_size=\"30799872\"] \n  49 [size=\"88414208\", alpha=\"0.00\", expect_size=\"44207104\"] \n  50 [size=\"72556544\", alpha=\"0.14\", expect_size=\"36278272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.908.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94010880\", alpha=\"0.19\", expect_size=\"37604352\"] \n  1 -> 25 [size =\"37604352\"]\n  1 -> 28 [size =\"37604352\"]\n  2 [size=\"124011520\", alpha=\"0.04\", expect_size=\"49604608\"] \n  2 -> 21 [size =\"49604608\"]\n  3 [size=\"63756800\", alpha=\"0.05\", expect_size=\"25502720\"] \n  3 -> 16 [size =\"25502720\"]\n  3 -> 21 [size =\"25502720\"]\n  4 [size=\"55569920\", alpha=\"0.13\", expect_size=\"22227968\"] \n  4 -> 17 [size =\"22227968\"]\n  4 -> 23 [size =\"22227968\"]\n  5 [size=\"85355520\", alpha=\"0.04\", expect_size=\"34142208\"] \n  5 -> 21 [size =\"34142208\"]\n  6 [size=\"59768320\", alpha=\"0.09\", expect_size=\"23907328\"] \n  6 -> 25 [size =\"23907328\"]\n  7 [size=\"25904640\", alpha=\"0.13\", expect_size=\"10361856\"] \n  7 -> 19 [size =\"10361856\"]\n  7 -> 21 [size =\"10361856\"]\n  8 [size=\"130895360\", alpha=\"0.11\", expect_size=\"52358144\"] \n  8 -> 20 [size =\"52358144\"]\n  8 -> 28 [size =\"52358144\"]\n  9 [size=\"35927040\", alpha=\"0.10\", expect_size=\"14370816\"] \n  9 -> 16 [size =\"14370816\"]\n  9 -> 21 [size =\"14370816\"]\n  9 -> 24 [size =\"14370816\"]\n  9 -> 28 [size =\"14370816\"]\n  10 [size=\"126179840\", alpha=\"0.01\", expect_size=\"50471936\"] \n  10 -> 18 [size =\"50471936\"]\n  10 -> 28 [size =\"50471936\"]\n  11 [size=\"95969280\", alpha=\"0.05\", expect_size=\"38387712\"] \n  11 -> 18 [size =\"38387712\"]\n  11 -> 19 [size =\"38387712\"]\n  11 -> 21 [size =\"38387712\"]\n  11 -> 28 [size =\"38387712\"]\n  12 [size=\"87838720\", alpha=\"0.02\", expect_size=\"35135488\"] \n  12 -> 16 [size =\"35135488\"]\n  12 -> 18 [size =\"35135488\"]\n  12 -> 23 [size =\"35135488\"]\n  12 -> 25 [size =\"35135488\"]\n  12 -> 26 [size =\"35135488\"]\n  13 [size=\"109780480\", alpha=\"0.03\", expect_size=\"43912192\"] \n  13 -> 18 [size =\"43912192\"]\n  13 -> 21 [size =\"43912192\"]\n  13 -> 23 [size =\"43912192\"]\n  14 [size=\"24179200\", alpha=\"0.06\", expect_size=\"9671680\"] \n  14 -> 16 [size =\"9671680\"]\n  14 -> 18 [size =\"9671680\"]\n  14 -> 25 [size =\"9671680\"]\n  14 -> 28 [size =\"9671680\"]\n  15 [size=\"98895360\", alpha=\"0.11\", expect_size=\"39558144\"] \n  15 -> 16 [size =\"39558144\"]\n  15 -> 22 [size =\"39558144\"]\n  15 -> 25 [size =\"39558144\"]\n  15 -> 27 [size =\"39558144\"]\n  15 -> 28 [size =\"39558144\"]\n  16 [size=\"122449920\", alpha=\"0.20\", expect_size=\"48979968\"] \n  16 -> 30 [size =\"48979968\"]\n  16 -> 31 [size =\"48979968\"]\n  16 -> 32 [size =\"48979968\"]\n  16 -> 38 [size =\"48979968\"]\n  16 -> 39 [size =\"48979968\"]\n  16 -> 43 [size =\"48979968\"]\n  17 [size=\"54922240\", alpha=\"0.16\", expect_size=\"21968896\"] \n  17 -> 29 [size =\"21968896\"]\n  17 -> 35 [size =\"21968896\"]\n  17 -> 43 [size =\"21968896\"]\n  18 [size=\"128724480\", alpha=\"0.19\", expect_size=\"51489792\"] \n  18 -> 33 [size =\"51489792\"]\n  18 -> 36 [size =\"51489792\"]\n  19 [size=\"73692160\", alpha=\"0.16\", expect_size=\"29476864\"] \n  19 -> 33 [size =\"29476864\"]\n  19 -> 34 [size =\"29476864\"]\n  19 -> 36 [size =\"29476864\"]\n  19 -> 41 [size =\"29476864\"]\n  19 -> 43 [size =\"29476864\"]\n  20 [size=\"14161920\", alpha=\"0.15\", expect_size=\"5664768\"] \n  20 -> 32 [size =\"5664768\"]\n  20 -> 35 [size =\"5664768\"]\n  20 -> 42 [size =\"5664768\"]\n  21 [size=\"17154560\", alpha=\"0.08\", expect_size=\"6861824\"] \n  21 -> 30 [size =\"6861824\"]\n  21 -> 33 [size =\"6861824\"]\n  21 -> 36 [size =\"6861824\"]\n  21 -> 38 [size =\"6861824\"]\n  21 -> 39 [size =\"6861824\"]\n  21 -> 40 [size =\"6861824\"]\n  21 -> 42 [size =\"6861824\"]\n  22 [size=\"46522880\", alpha=\"0.19\", expect_size=\"18609152\"] \n  22 -> 38 [size =\"18609152\"]\n  22 -> 42 [size =\"18609152\"]\n  22 -> 43 [size =\"18609152\"]\n  23 [size=\"57674240\", alpha=\"0.20\", expect_size=\"23069696\"] \n  23 -> 31 [size =\"23069696\"]\n  23 -> 36 [size =\"23069696\"]\n  23 -> 37 [size =\"23069696\"]\n  23 -> 41 [size =\"23069696\"]\n  23 -> 42 [size =\"23069696\"]\n  24 [size=\"73779200\", alpha=\"0.07\", expect_size=\"29511680\"] \n  24 -> 40 [size =\"29511680\"]\n  24 -> 42 [size =\"29511680\"]\n  25 [size=\"106355200\", alpha=\"0.07\", expect_size=\"42542080\"] \n  25 -> 37 [size =\"42542080\"]\n  25 -> 38 [size =\"42542080\"]\n  25 -> 40 [size =\"42542080\"]\n  26 [size=\"54515200\", alpha=\"0.14\", expect_size=\"21806080\"] \n  26 -> 35 [size =\"21806080\"]\n  26 -> 37 [size =\"21806080\"]\n  26 -> 40 [size =\"21806080\"]\n  26 -> 42 [size =\"21806080\"]\n  26 -> 43 [size =\"21806080\"]\n  27 [size=\"52712960\", alpha=\"0.04\", expect_size=\"21085184\"] \n  27 -> 33 [size =\"21085184\"]\n  27 -> 38 [size =\"21085184\"]\n  27 -> 41 [size =\"21085184\"]\n  27 -> 43 [size =\"21085184\"]\n  28 [size=\"28759040\", alpha=\"0.14\", expect_size=\"11503616\"] \n  28 -> 32 [size =\"11503616\"]\n  28 -> 33 [size =\"11503616\"]\n  28 -> 36 [size =\"11503616\"]\n  28 -> 37 [size =\"11503616\"]\n  28 -> 41 [size =\"11503616\"]\n  28 -> 42 [size =\"11503616\"]\n  29 [size=\"20830720\", alpha=\"0.07\", expect_size=\"8332288\"] \n  29 -> 44 [size =\"8332288\"]\n  29 -> 46 [size =\"8332288\"]\n  30 [size=\"114199040\", alpha=\"0.20\", expect_size=\"45679616\"] \n  31 [size=\"84211200\", alpha=\"0.07\", expect_size=\"33684480\"] \n  31 -> 44 [size =\"33684480\"]\n  31 -> 46 [size =\"33684480\"]\n  32 [size=\"129733120\", alpha=\"0.06\", expect_size=\"51893248\"] \n  32 -> 44 [size =\"51893248\"]\n  32 -> 46 [size =\"51893248\"]\n  32 -> 49 [size =\"51893248\"]\n  33 [size=\"125744640\", alpha=\"0.02\", expect_size=\"50297856\"] \n  33 -> 45 [size =\"50297856\"]\n  33 -> 48 [size =\"50297856\"]\n  34 [size=\"122895360\", alpha=\"0.20\", expect_size=\"49158144\"] \n  34 -> 46 [size =\"49158144\"]\n  34 -> 48 [size =\"49158144\"]\n  35 [size=\"45683200\", alpha=\"0.12\", expect_size=\"18273280\"] \n  35 -> 46 [size =\"18273280\"]\n  35 -> 47 [size =\"18273280\"]\n  36 [size=\"84323840\", alpha=\"0.03\", expect_size=\"33729536\"] \n  36 -> 47 [size =\"33729536\"]\n  36 -> 50 [size =\"33729536\"]\n  37 [size=\"49548800\", alpha=\"0.01\", expect_size=\"19819520\"] \n  37 -> 45 [size =\"19819520\"]\n  37 -> 47 [size =\"19819520\"]\n  38 [size=\"72125440\", alpha=\"0.18\", expect_size=\"28850176\"] \n  38 -> 44 [size =\"28850176\"]\n  38 -> 45 [size =\"28850176\"]\n  39 [size=\"33912320\", alpha=\"0.06\", expect_size=\"13564928\"] \n  39 -> 44 [size =\"13564928\"]\n  39 -> 47 [size =\"13564928\"]\n  39 -> 48 [size =\"13564928\"]\n  39 -> 49 [size =\"13564928\"]\n  40 [size=\"75691520\", alpha=\"0.14\", expect_size=\"30276608\"] \n  40 -> 48 [size =\"30276608\"]\n  40 -> 49 [size =\"30276608\"]\n  41 [size=\"74608640\", alpha=\"0.02\", expect_size=\"29843456\"] \n  41 -> 49 [size =\"29843456\"]\n  42 [size=\"113525760\", alpha=\"0.17\", expect_size=\"45410304\"] \n  42 -> 45 [size =\"45410304\"]\n  42 -> 49 [size =\"45410304\"]\n  42 -> 50 [size =\"45410304\"]\n  43 [size=\"31244800\", alpha=\"0.19\", expect_size=\"12497920\"] \n  43 -> 44 [size =\"12497920\"]\n  43 -> 45 [size =\"12497920\"]\n  44 [size=\"42408960\", alpha=\"0.11\", expect_size=\"16963584\"] \n  45 [size=\"40117760\", alpha=\"0.19\", expect_size=\"16047104\"] \n  46 [size=\"110167040\", alpha=\"0.14\", expect_size=\"44066816\"] \n  47 [size=\"125969920\", alpha=\"0.15\", expect_size=\"50387968\"] \n  48 [size=\"129338880\", alpha=\"0.20\", expect_size=\"51735552\"] \n  49 [size=\"117928960\", alpha=\"0.05\", expect_size=\"47171584\"] \n  50 [size=\"34362880\", alpha=\"0.08\", expect_size=\"13745152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.909.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"23222272\", alpha=\"0.01\", expect_size=\"11611136\"] \n  1 -> 34 [size =\"11611136\"]\n  1 -> 37 [size =\"11611136\"]\n  1 -> 42 [size =\"11611136\"]\n  1 -> 49 [size =\"11611136\"]\n  2 [size=\"73234432\", alpha=\"0.01\", expect_size=\"36617216\"] \n  2 -> 46 [size =\"36617216\"]\n  2 -> 47 [size =\"36617216\"]\n  2 -> 49 [size =\"36617216\"]\n  2 -> 50 [size =\"36617216\"]\n  3 [size=\"100722688\", alpha=\"0.09\", expect_size=\"50361344\"] \n  3 -> 36 [size =\"50361344\"]\n  3 -> 43 [size =\"50361344\"]\n  3 -> 44 [size =\"50361344\"]\n  3 -> 47 [size =\"50361344\"]\n  3 -> 48 [size =\"50361344\"]\n  3 -> 50 [size =\"50361344\"]\n  4 [size=\"44978176\", alpha=\"0.09\", expect_size=\"22489088\"] \n  4 -> 34 [size =\"22489088\"]\n  4 -> 38 [size =\"22489088\"]\n  4 -> 40 [size =\"22489088\"]\n  4 -> 46 [size =\"22489088\"]\n  4 -> 49 [size =\"22489088\"]\n  5 [size=\"22050816\", alpha=\"0.20\", expect_size=\"11025408\"] \n  5 -> 33 [size =\"11025408\"]\n  5 -> 34 [size =\"11025408\"]\n  5 -> 35 [size =\"11025408\"]\n  5 -> 40 [size =\"11025408\"]\n  5 -> 41 [size =\"11025408\"]\n  5 -> 46 [size =\"11025408\"]\n  5 -> 48 [size =\"11025408\"]\n  5 -> 49 [size =\"11025408\"]\n  5 -> 50 [size =\"11025408\"]\n  6 [size=\"39999488\", alpha=\"0.14\", expect_size=\"19999744\"] \n  6 -> 33 [size =\"19999744\"]\n  6 -> 34 [size =\"19999744\"]\n  6 -> 40 [size =\"19999744\"]\n  6 -> 43 [size =\"19999744\"]\n  6 -> 48 [size =\"19999744\"]\n  6 -> 49 [size =\"19999744\"]\n  6 -> 50 [size =\"19999744\"]\n  7 [size=\"64167936\", alpha=\"0.00\", expect_size=\"32083968\"] \n  7 -> 33 [size =\"32083968\"]\n  7 -> 35 [size =\"32083968\"]\n  7 -> 37 [size =\"32083968\"]\n  7 -> 45 [size =\"32083968\"]\n  7 -> 47 [size =\"32083968\"]\n  7 -> 50 [size =\"32083968\"]\n  8 [size=\"62818304\", alpha=\"0.09\", expect_size=\"31409152\"] \n  8 -> 33 [size =\"31409152\"]\n  8 -> 34 [size =\"31409152\"]\n  8 -> 47 [size =\"31409152\"]\n  8 -> 48 [size =\"31409152\"]\n  9 [size=\"15742976\", alpha=\"0.08\", expect_size=\"7871488\"] \n  9 -> 34 [size =\"7871488\"]\n  9 -> 40 [size =\"7871488\"]\n  9 -> 48 [size =\"7871488\"]\n  10 [size=\"56444928\", alpha=\"0.17\", expect_size=\"28222464\"] \n  10 -> 37 [size =\"28222464\"]\n  10 -> 38 [size =\"28222464\"]\n  10 -> 40 [size =\"28222464\"]\n  11 [size=\"96276480\", alpha=\"0.05\", expect_size=\"48138240\"] \n  11 -> 35 [size =\"48138240\"]\n  11 -> 36 [size =\"48138240\"]\n  11 -> 39 [size =\"48138240\"]\n  11 -> 40 [size =\"48138240\"]\n  11 -> 42 [size =\"48138240\"]\n  11 -> 50 [size =\"48138240\"]\n  12 [size=\"101406720\", alpha=\"0.08\", expect_size=\"50703360\"] \n  12 -> 36 [size =\"50703360\"]\n  12 -> 37 [size =\"50703360\"]\n  12 -> 42 [size =\"50703360\"]\n  13 [size=\"104310784\", alpha=\"0.05\", expect_size=\"52155392\"] \n  13 -> 39 [size =\"52155392\"]\n  13 -> 40 [size =\"52155392\"]\n  13 -> 42 [size =\"52155392\"]\n  13 -> 47 [size =\"52155392\"]\n  14 [size=\"52310016\", alpha=\"0.17\", expect_size=\"26155008\"] \n  14 -> 35 [size =\"26155008\"]\n  14 -> 36 [size =\"26155008\"]\n  14 -> 43 [size =\"26155008\"]\n  15 [size=\"96129024\", alpha=\"0.08\", expect_size=\"48064512\"] \n  15 -> 35 [size =\"48064512\"]\n  15 -> 38 [size =\"48064512\"]\n  15 -> 46 [size =\"48064512\"]\n  15 -> 48 [size =\"48064512\"]\n  15 -> 49 [size =\"48064512\"]\n  16 [size=\"93925376\", alpha=\"0.19\", expect_size=\"46962688\"] \n  16 -> 34 [size =\"46962688\"]\n  16 -> 36 [size =\"46962688\"]\n  16 -> 37 [size =\"46962688\"]\n  16 -> 40 [size =\"46962688\"]\n  17 [size=\"67534848\", alpha=\"0.10\", expect_size=\"33767424\"] \n  17 -> 33 [size =\"33767424\"]\n  17 -> 36 [size =\"33767424\"]\n  17 -> 50 [size =\"33767424\"]\n  18 [size=\"68993024\", alpha=\"0.02\", expect_size=\"34496512\"] \n  18 -> 35 [size =\"34496512\"]\n  18 -> 40 [size =\"34496512\"]\n  18 -> 42 [size =\"34496512\"]\n  18 -> 45 [size =\"34496512\"]\n  18 -> 49 [size =\"34496512\"]\n  18 -> 50 [size =\"34496512\"]\n  19 [size=\"17899520\", alpha=\"0.00\", expect_size=\"8949760\"] \n  19 -> 39 [size =\"8949760\"]\n  19 -> 43 [size =\"8949760\"]\n  19 -> 46 [size =\"8949760\"]\n  19 -> 50 [size =\"8949760\"]\n  20 [size=\"53770240\", alpha=\"0.15\", expect_size=\"26885120\"] \n  20 -> 42 [size =\"26885120\"]\n  20 -> 49 [size =\"26885120\"]\n  21 [size=\"40747008\", alpha=\"0.12\", expect_size=\"20373504\"] \n  21 -> 33 [size =\"20373504\"]\n  21 -> 40 [size =\"20373504\"]\n  21 -> 48 [size =\"20373504\"]\n  21 -> 49 [size =\"20373504\"]\n  21 -> 50 [size =\"20373504\"]\n  22 [size=\"63973376\", alpha=\"0.03\", expect_size=\"31986688\"] \n  22 -> 43 [size =\"31986688\"]\n  23 [size=\"101642240\", alpha=\"0.12\", expect_size=\"50821120\"] \n  23 -> 34 [size =\"50821120\"]\n  23 -> 35 [size =\"50821120\"]\n  23 -> 45 [size =\"50821120\"]\n  23 -> 47 [size =\"50821120\"]\n  23 -> 50 [size =\"50821120\"]\n  24 [size=\"31275008\", alpha=\"0.09\", expect_size=\"15637504\"] \n  24 -> 34 [size =\"15637504\"]\n  24 -> 40 [size =\"15637504\"]\n  24 -> 49 [size =\"15637504\"]\n  25 [size=\"15333376\", alpha=\"0.09\", expect_size=\"7666688\"] \n  25 -> 33 [size =\"7666688\"]\n  25 -> 34 [size =\"7666688\"]\n  25 -> 38 [size =\"7666688\"]\n  25 -> 49 [size =\"7666688\"]\n  26 [size=\"51509248\", alpha=\"0.14\", expect_size=\"25754624\"] \n  26 -> 33 [size =\"25754624\"]\n  26 -> 34 [size =\"25754624\"]\n  26 -> 35 [size =\"25754624\"]\n  26 -> 36 [size =\"25754624\"]\n  26 -> 42 [size =\"25754624\"]\n  26 -> 45 [size =\"25754624\"]\n  27 [size=\"48584704\", alpha=\"0.11\", expect_size=\"24292352\"] \n  27 -> 33 [size =\"24292352\"]\n  27 -> 34 [size =\"24292352\"]\n  27 -> 35 [size =\"24292352\"]\n  27 -> 40 [size =\"24292352\"]\n  27 -> 46 [size =\"24292352\"]\n  27 -> 47 [size =\"24292352\"]\n  28 [size=\"96190464\", alpha=\"0.19\", expect_size=\"48095232\"] \n  28 -> 34 [size =\"48095232\"]\n  28 -> 37 [size =\"48095232\"]\n  28 -> 38 [size =\"48095232\"]\n  28 -> 46 [size =\"48095232\"]\n  28 -> 47 [size =\"48095232\"]\n  28 -> 49 [size =\"48095232\"]\n  29 [size=\"104548352\", alpha=\"0.09\", expect_size=\"52274176\"] \n  29 -> 35 [size =\"52274176\"]\n  29 -> 40 [size =\"52274176\"]\n  30 [size=\"11321344\", alpha=\"0.08\", expect_size=\"5660672\"] \n  30 -> 33 [size =\"5660672\"]\n  30 -> 35 [size =\"5660672\"]\n  30 -> 50 [size =\"5660672\"]\n  31 [size=\"81006592\", alpha=\"0.05\", expect_size=\"40503296\"] \n  31 -> 36 [size =\"40503296\"]\n  31 -> 39 [size =\"40503296\"]\n  31 -> 46 [size =\"40503296\"]\n  31 -> 47 [size =\"40503296\"]\n  31 -> 48 [size =\"40503296\"]\n  31 -> 49 [size =\"40503296\"]\n  31 -> 50 [size =\"40503296\"]\n  32 [size=\"43220992\", alpha=\"0.01\", expect_size=\"21610496\"] \n  32 -> 35 [size =\"21610496\"]\n  32 -> 36 [size =\"21610496\"]\n  32 -> 39 [size =\"21610496\"]\n  32 -> 46 [size =\"21610496\"]\n  33 [size=\"55091200\", alpha=\"0.18\", expect_size=\"27545600\"] \n  34 [size=\"18106368\", alpha=\"0.03\", expect_size=\"9053184\"] \n  35 [size=\"61134848\", alpha=\"0.06\", expect_size=\"30567424\"] \n  36 [size=\"101365760\", alpha=\"0.07\", expect_size=\"50682880\"] \n  37 [size=\"73947136\", alpha=\"0.00\", expect_size=\"36973568\"] \n  38 [size=\"32557056\", alpha=\"0.06\", expect_size=\"16278528\"] \n  39 [size=\"29530112\", alpha=\"0.13\", expect_size=\"14765056\"] \n  40 [size=\"70125568\", alpha=\"0.09\", expect_size=\"35062784\"] \n  41 [size=\"11558912\", alpha=\"0.12\", expect_size=\"5779456\"] \n  42 [size=\"33992704\", alpha=\"0.06\", expect_size=\"16996352\"] \n  43 [size=\"39604224\", alpha=\"0.19\", expect_size=\"19802112\"] \n  44 [size=\"27848704\", alpha=\"0.17\", expect_size=\"13924352\"] \n  45 [size=\"40548352\", alpha=\"0.15\", expect_size=\"20274176\"] \n  46 [size=\"68978688\", alpha=\"0.03\", expect_size=\"34489344\"] \n  47 [size=\"102205440\", alpha=\"0.18\", expect_size=\"51102720\"] \n  48 [size=\"102907904\", alpha=\"0.12\", expect_size=\"51453952\"] \n  49 [size=\"35223552\", alpha=\"0.06\", expect_size=\"17611776\"] \n  50 [size=\"95307776\", alpha=\"0.20\", expect_size=\"47653888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126000640\", alpha=\"0.11\", expect_size=\"50400256\"] \n  1 -> 33 [size =\"50400256\"]\n  1 -> 34 [size =\"50400256\"]\n  1 -> 39 [size =\"50400256\"]\n  1 -> 44 [size =\"50400256\"]\n  1 -> 45 [size =\"50400256\"]\n  1 -> 47 [size =\"50400256\"]\n  1 -> 49 [size =\"50400256\"]\n  2 [size=\"105059840\", alpha=\"0.03\", expect_size=\"42023936\"] \n  2 -> 34 [size =\"42023936\"]\n  2 -> 44 [size =\"42023936\"]\n  2 -> 49 [size =\"42023936\"]\n  3 [size=\"117539840\", alpha=\"0.17\", expect_size=\"47015936\"] \n  3 -> 33 [size =\"47015936\"]\n  3 -> 34 [size =\"47015936\"]\n  3 -> 37 [size =\"47015936\"]\n  3 -> 43 [size =\"47015936\"]\n  3 -> 47 [size =\"47015936\"]\n  3 -> 49 [size =\"47015936\"]\n  4 [size=\"57728000\", alpha=\"0.07\", expect_size=\"23091200\"] \n  4 -> 33 [size =\"23091200\"]\n  4 -> 34 [size =\"23091200\"]\n  4 -> 35 [size =\"23091200\"]\n  4 -> 36 [size =\"23091200\"]\n  4 -> 37 [size =\"23091200\"]\n  4 -> 39 [size =\"23091200\"]\n  4 -> 41 [size =\"23091200\"]\n  4 -> 43 [size =\"23091200\"]\n  4 -> 44 [size =\"23091200\"]\n  4 -> 50 [size =\"23091200\"]\n  5 [size=\"66872320\", alpha=\"0.14\", expect_size=\"26748928\"] \n  5 -> 33 [size =\"26748928\"]\n  5 -> 34 [size =\"26748928\"]\n  5 -> 38 [size =\"26748928\"]\n  5 -> 42 [size =\"26748928\"]\n  5 -> 46 [size =\"26748928\"]\n  5 -> 50 [size =\"26748928\"]\n  6 [size=\"130086400\", alpha=\"0.06\", expect_size=\"52034560\"] \n  6 -> 34 [size =\"52034560\"]\n  6 -> 34 [size =\"52034560\"]\n  6 -> 43 [size =\"52034560\"]\n  6 -> 44 [size =\"52034560\"]\n  6 -> 47 [size =\"52034560\"]\n  6 -> 50 [size =\"52034560\"]\n  7 [size=\"105786880\", alpha=\"0.15\", expect_size=\"42314752\"] \n  7 -> 34 [size =\"42314752\"]\n  7 -> 42 [size =\"42314752\"]\n  7 -> 43 [size =\"42314752\"]\n  7 -> 45 [size =\"42314752\"]\n  7 -> 47 [size =\"42314752\"]\n  7 -> 50 [size =\"42314752\"]\n  8 [size=\"27727360\", alpha=\"0.12\", expect_size=\"11090944\"] \n  8 -> 33 [size =\"11090944\"]\n  8 -> 41 [size =\"11090944\"]\n  8 -> 43 [size =\"11090944\"]\n  8 -> 44 [size =\"11090944\"]\n  8 -> 50 [size =\"11090944\"]\n  9 [size=\"66777600\", alpha=\"0.04\", expect_size=\"26711040\"] \n  9 -> 39 [size =\"26711040\"]\n  10 [size=\"77977600\", alpha=\"0.14\", expect_size=\"31191040\"] \n  10 -> 34 [size =\"31191040\"]\n  10 -> 37 [size =\"31191040\"]\n  10 -> 38 [size =\"31191040\"]\n  10 -> 39 [size =\"31191040\"]\n  10 -> 42 [size =\"31191040\"]\n  10 -> 48 [size =\"31191040\"]\n  11 [size=\"109698560\", alpha=\"0.05\", expect_size=\"43879424\"] \n  11 -> 34 [size =\"43879424\"]\n  11 -> 39 [size =\"43879424\"]\n  11 -> 40 [size =\"43879424\"]\n  11 -> 43 [size =\"43879424\"]\n  11 -> 47 [size =\"43879424\"]\n  11 -> 48 [size =\"43879424\"]\n  12 [size=\"56517120\", alpha=\"0.09\", expect_size=\"22606848\"] \n  12 -> 36 [size =\"22606848\"]\n  12 -> 37 [size =\"22606848\"]\n  12 -> 40 [size =\"22606848\"]\n  12 -> 47 [size =\"22606848\"]\n  13 [size=\"71347200\", alpha=\"0.13\", expect_size=\"28538880\"] \n  13 -> 33 [size =\"28538880\"]\n  13 -> 37 [size =\"28538880\"]\n  13 -> 40 [size =\"28538880\"]\n  14 [size=\"54456320\", alpha=\"0.08\", expect_size=\"21782528\"] \n  14 -> 42 [size =\"21782528\"]\n  14 -> 44 [size =\"21782528\"]\n  15 [size=\"93232640\", alpha=\"0.18\", expect_size=\"37293056\"] \n  15 -> 33 [size =\"37293056\"]\n  15 -> 35 [size =\"37293056\"]\n  15 -> 37 [size =\"37293056\"]\n  15 -> 39 [size =\"37293056\"]\n  15 -> 41 [size =\"37293056\"]\n  15 -> 42 [size =\"37293056\"]\n  15 -> 44 [size =\"37293056\"]\n  15 -> 47 [size =\"37293056\"]\n  15 -> 50 [size =\"37293056\"]\n  16 [size=\"56506880\", alpha=\"0.02\", expect_size=\"22602752\"] \n  16 -> 33 [size =\"22602752\"]\n  16 -> 35 [size =\"22602752\"]\n  16 -> 39 [size =\"22602752\"]\n  16 -> 39 [size =\"22602752\"]\n  16 -> 43 [size =\"22602752\"]\n  16 -> 44 [size =\"22602752\"]\n  16 -> 47 [size =\"22602752\"]\n  16 -> 49 [size =\"22602752\"]\n  17 [size=\"90234880\", alpha=\"0.09\", expect_size=\"36093952\"] \n  17 -> 33 [size =\"36093952\"]\n  17 -> 35 [size =\"36093952\"]\n  17 -> 39 [size =\"36093952\"]\n  17 -> 40 [size =\"36093952\"]\n  17 -> 43 [size =\"36093952\"]\n  17 -> 44 [size =\"36093952\"]\n  17 -> 50 [size =\"36093952\"]\n  18 [size=\"61073920\", alpha=\"0.14\", expect_size=\"24429568\"] \n  18 -> 33 [size =\"24429568\"]\n  18 -> 34 [size =\"24429568\"]\n  18 -> 35 [size =\"24429568\"]\n  18 -> 39 [size =\"24429568\"]\n  18 -> 41 [size =\"24429568\"]\n  18 -> 43 [size =\"24429568\"]\n  18 -> 44 [size =\"24429568\"]\n  18 -> 47 [size =\"24429568\"]\n  18 -> 49 [size =\"24429568\"]\n  18 -> 50 [size =\"24429568\"]\n  19 [size=\"129241600\", alpha=\"0.04\", expect_size=\"51696640\"] \n  19 -> 38 [size =\"51696640\"]\n  19 -> 42 [size =\"51696640\"]\n  19 -> 43 [size =\"51696640\"]\n  19 -> 44 [size =\"51696640\"]\n  19 -> 49 [size =\"51696640\"]\n  20 [size=\"33799680\", alpha=\"0.09\", expect_size=\"13519872\"] \n  20 -> 33 [size =\"13519872\"]\n  20 -> 35 [size =\"13519872\"]\n  20 -> 37 [size =\"13519872\"]\n  20 -> 39 [size =\"13519872\"]\n  20 -> 42 [size =\"13519872\"]\n  20 -> 44 [size =\"13519872\"]\n  20 -> 45 [size =\"13519872\"]\n  20 -> 49 [size =\"13519872\"]\n  21 [size=\"114570240\", alpha=\"0.12\", expect_size=\"45828096\"] \n  21 -> 33 [size =\"45828096\"]\n  21 -> 34 [size =\"45828096\"]\n  21 -> 40 [size =\"45828096\"]\n  21 -> 43 [size =\"45828096\"]\n  21 -> 44 [size =\"45828096\"]\n  21 -> 44 [size =\"45828096\"]\n  21 -> 47 [size =\"45828096\"]\n  21 -> 49 [size =\"45828096\"]\n  22 [size=\"27811840\", alpha=\"0.11\", expect_size=\"11124736\"] \n  22 -> 39 [size =\"11124736\"]\n  22 -> 42 [size =\"11124736\"]\n  22 -> 43 [size =\"11124736\"]\n  22 -> 43 [size =\"11124736\"]\n  22 -> 44 [size =\"11124736\"]\n  22 -> 45 [size =\"11124736\"]\n  22 -> 47 [size =\"11124736\"]\n  22 -> 50 [size =\"11124736\"]\n  23 [size=\"82631680\", alpha=\"0.08\", expect_size=\"33052672\"] \n  23 -> 36 [size =\"33052672\"]\n  23 -> 37 [size =\"33052672\"]\n  23 -> 43 [size =\"33052672\"]\n  23 -> 44 [size =\"33052672\"]\n  23 -> 44 [size =\"33052672\"]\n  23 -> 47 [size =\"33052672\"]\n  23 -> 50 [size =\"33052672\"]\n  24 [size=\"38740480\", alpha=\"0.12\", expect_size=\"15496192\"] \n  24 -> 34 [size =\"15496192\"]\n  24 -> 37 [size =\"15496192\"]\n  24 -> 38 [size =\"15496192\"]\n  24 -> 40 [size =\"15496192\"]\n  24 -> 45 [size =\"15496192\"]\n  24 -> 48 [size =\"15496192\"]\n  24 -> 49 [size =\"15496192\"]\n  25 [size=\"83445760\", alpha=\"0.06\", expect_size=\"33378304\"] \n  25 -> 36 [size =\"33378304\"]\n  25 -> 39 [size =\"33378304\"]\n  25 -> 42 [size =\"33378304\"]\n  25 -> 43 [size =\"33378304\"]\n  25 -> 47 [size =\"33378304\"]\n  26 [size=\"73157120\", alpha=\"0.19\", expect_size=\"29262848\"] \n  26 -> 33 [size =\"29262848\"]\n  26 -> 42 [size =\"29262848\"]\n  26 -> 42 [size =\"29262848\"]\n  26 -> 43 [size =\"29262848\"]\n  26 -> 49 [size =\"29262848\"]\n  26 -> 50 [size =\"29262848\"]\n  27 [size=\"84257280\", alpha=\"0.08\", expect_size=\"33702912\"] \n  27 -> 33 [size =\"33702912\"]\n  27 -> 37 [size =\"33702912\"]\n  27 -> 38 [size =\"33702912\"]\n  27 -> 39 [size =\"33702912\"]\n  27 -> 42 [size =\"33702912\"]\n  27 -> 43 [size =\"33702912\"]\n  27 -> 44 [size =\"33702912\"]\n  27 -> 50 [size =\"33702912\"]\n  28 [size=\"18984960\", alpha=\"0.20\", expect_size=\"7593984\"] \n  28 -> 33 [size =\"7593984\"]\n  28 -> 34 [size =\"7593984\"]\n  28 -> 36 [size =\"7593984\"]\n  28 -> 42 [size =\"7593984\"]\n  28 -> 47 [size =\"7593984\"]\n  28 -> 49 [size =\"7593984\"]\n  28 -> 50 [size =\"7593984\"]\n  29 [size=\"98844160\", alpha=\"0.00\", expect_size=\"39537664\"] \n  29 -> 33 [size =\"39537664\"]\n  29 -> 34 [size =\"39537664\"]\n  29 -> 36 [size =\"39537664\"]\n  29 -> 37 [size =\"39537664\"]\n  29 -> 38 [size =\"39537664\"]\n  29 -> 41 [size =\"39537664\"]\n  29 -> 42 [size =\"39537664\"]\n  29 -> 44 [size =\"39537664\"]\n  29 -> 45 [size =\"39537664\"]\n  29 -> 47 [size =\"39537664\"]\n  30 [size=\"124111360\", alpha=\"0.12\", expect_size=\"49644544\"] \n  30 -> 33 [size =\"49644544\"]\n  30 -> 36 [size =\"49644544\"]\n  30 -> 38 [size =\"49644544\"]\n  30 -> 40 [size =\"49644544\"]\n  30 -> 44 [size =\"49644544\"]\n  30 -> 50 [size =\"49644544\"]\n  31 [size=\"57228800\", alpha=\"0.00\", expect_size=\"22891520\"] \n  31 -> 37 [size =\"22891520\"]\n  31 -> 42 [size =\"22891520\"]\n  31 -> 43 [size =\"22891520\"]\n  31 -> 45 [size =\"22891520\"]\n  31 -> 50 [size =\"22891520\"]\n  31 -> 50 [size =\"22891520\"]\n  32 [size=\"129062400\", alpha=\"0.15\", expect_size=\"51624960\"] \n  32 -> 33 [size =\"51624960\"]\n  32 -> 36 [size =\"51624960\"]\n  32 -> 37 [size =\"51624960\"]\n  32 -> 40 [size =\"51624960\"]\n  32 -> 43 [size =\"51624960\"]\n  32 -> 49 [size =\"51624960\"]\n  32 -> 50 [size =\"51624960\"]\n  33 [size=\"77662720\", alpha=\"0.01\", expect_size=\"31065088\"] \n  34 [size=\"125437440\", alpha=\"0.13\", expect_size=\"50174976\"] \n  35 [size=\"81072640\", alpha=\"0.19\", expect_size=\"32429056\"] \n  36 [size=\"116303360\", alpha=\"0.12\", expect_size=\"46521344\"] \n  37 [size=\"112179200\", alpha=\"0.18\", expect_size=\"44871680\"] \n  38 [size=\"43415040\", alpha=\"0.13\", expect_size=\"17366016\"] \n  39 [size=\"42598400\", alpha=\"0.07\", expect_size=\"17039360\"] \n  40 [size=\"45434880\", alpha=\"0.04\", expect_size=\"18173952\"] \n  41 [size=\"116800000\", alpha=\"0.19\", expect_size=\"46720000\"] \n  42 [size=\"117352960\", alpha=\"0.16\", expect_size=\"46941184\"] \n  43 [size=\"90503680\", alpha=\"0.05\", expect_size=\"36201472\"] \n  44 [size=\"94494720\", alpha=\"0.19\", expect_size=\"37797888\"] \n  45 [size=\"52712960\", alpha=\"0.04\", expect_size=\"21085184\"] \n  46 [size=\"45281280\", alpha=\"0.20\", expect_size=\"18112512\"] \n  47 [size=\"115601920\", alpha=\"0.07\", expect_size=\"46240768\"] \n  48 [size=\"104872960\", alpha=\"0.16\", expect_size=\"41949184\"] \n  49 [size=\"61063680\", alpha=\"0.19\", expect_size=\"24425472\"] \n  50 [size=\"100311040\", alpha=\"0.01\", expect_size=\"40124416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.910.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110720000\", alpha=\"0.13\", expect_size=\"44288000\"] \n  1 -> 2 [size =\"44288000\"]\n  2 [size=\"101271040\", alpha=\"0.14\", expect_size=\"40508416\"] \n  2 -> 3 [size =\"40508416\"]\n  3 [size=\"32355840\", alpha=\"0.00\", expect_size=\"12942336\"] \n  3 -> 4 [size =\"12942336\"]\n  4 [size=\"98831360\", alpha=\"0.10\", expect_size=\"39532544\"] \n  4 -> 5 [size =\"39532544\"]\n  5 [size=\"70745600\", alpha=\"0.14\", expect_size=\"28298240\"] \n  5 -> 6 [size =\"28298240\"]\n  6 [size=\"45514240\", alpha=\"0.00\", expect_size=\"18205696\"] \n  6 -> 7 [size =\"18205696\"]\n  7 [size=\"123504640\", alpha=\"0.18\", expect_size=\"49401856\"] \n  7 -> 8 [size =\"49401856\"]\n  8 [size=\"86440960\", alpha=\"0.19\", expect_size=\"34576384\"] \n  8 -> 9 [size =\"34576384\"]\n  9 [size=\"94174720\", alpha=\"0.03\", expect_size=\"37669888\"] \n  9 -> 10 [size =\"37669888\"]\n  10 [size=\"39659520\", alpha=\"0.13\", expect_size=\"15863808\"] \n  10 -> 11 [size =\"15863808\"]\n  11 [size=\"40990720\", alpha=\"0.08\", expect_size=\"16396288\"] \n  11 -> 12 [size =\"16396288\"]\n  12 [size=\"118520320\", alpha=\"0.19\", expect_size=\"47408128\"] \n  12 -> 13 [size =\"47408128\"]\n  13 [size=\"83535360\", alpha=\"0.20\", expect_size=\"33414144\"] \n  13 -> 14 [size =\"33414144\"]\n  14 [size=\"86120960\", alpha=\"0.12\", expect_size=\"34448384\"] \n  14 -> 15 [size =\"34448384\"]\n  15 [size=\"25410560\", alpha=\"0.03\", expect_size=\"10164224\"] \n  15 -> 16 [size =\"10164224\"]\n  16 [size=\"106862080\", alpha=\"0.19\", expect_size=\"42744832\"] \n  16 -> 17 [size =\"42744832\"]\n  17 [size=\"107312640\", alpha=\"0.13\", expect_size=\"42925056\"] \n  17 -> 18 [size =\"42925056\"]\n  18 [size=\"93903360\", alpha=\"0.05\", expect_size=\"37561344\"] \n  18 -> 19 [size =\"37561344\"]\n  19 [size=\"89236480\", alpha=\"0.05\", expect_size=\"35694592\"] \n  19 -> 20 [size =\"35694592\"]\n  20 [size=\"106099200\", alpha=\"0.02\", expect_size=\"42439680\"] \n  20 -> 21 [size =\"42439680\"]\n  21 [size=\"67136000\", alpha=\"0.14\", expect_size=\"26854400\"] \n  21 -> 22 [size =\"26854400\"]\n  22 [size=\"115901440\", alpha=\"0.02\", expect_size=\"46360576\"] \n  22 -> 23 [size =\"46360576\"]\n  23 [size=\"110883840\", alpha=\"0.13\", expect_size=\"44353536\"] \n  23 -> 24 [size =\"44353536\"]\n  24 [size=\"108608000\", alpha=\"0.19\", expect_size=\"43443200\"] \n  24 -> 25 [size =\"43443200\"]\n  25 [size=\"64107520\", alpha=\"0.14\", expect_size=\"25643008\"] \n  25 -> 26 [size =\"25643008\"]\n  26 [size=\"79674880\", alpha=\"0.15\", expect_size=\"31869952\"] \n  26 -> 27 [size =\"31869952\"]\n  27 [size=\"71505920\", alpha=\"0.15\", expect_size=\"28602368\"] \n  27 -> 28 [size =\"28602368\"]\n  28 [size=\"29012480\", alpha=\"0.07\", expect_size=\"11604992\"] \n  28 -> 29 [size =\"11604992\"]\n  29 [size=\"55751680\", alpha=\"0.13\", expect_size=\"22300672\"] \n  29 -> 30 [size =\"22300672\"]\n  30 [size=\"86282240\", alpha=\"0.03\", expect_size=\"34512896\"] \n  30 -> 31 [size =\"34512896\"]\n  31 [size=\"95168000\", alpha=\"0.18\", expect_size=\"38067200\"] \n  31 -> 32 [size =\"38067200\"]\n  32 [size=\"62062080\", alpha=\"0.11\", expect_size=\"24824832\"] \n  32 -> 33 [size =\"24824832\"]\n  33 [size=\"75123200\", alpha=\"0.16\", expect_size=\"30049280\"] \n  33 -> 34 [size =\"30049280\"]\n  34 [size=\"35642880\", alpha=\"0.13\", expect_size=\"14257152\"] \n  34 -> 35 [size =\"14257152\"]\n  35 [size=\"29340160\", alpha=\"0.12\", expect_size=\"11736064\"] \n  35 -> 36 [size =\"11736064\"]\n  36 [size=\"113858560\", alpha=\"0.07\", expect_size=\"45543424\"] \n  36 -> 37 [size =\"45543424\"]\n  37 [size=\"85675520\", alpha=\"0.19\", expect_size=\"34270208\"] \n  37 -> 38 [size =\"34270208\"]\n  38 [size=\"55191040\", alpha=\"0.03\", expect_size=\"22076416\"] \n  38 -> 39 [size =\"22076416\"]\n  39 [size=\"95741440\", alpha=\"0.01\", expect_size=\"38296576\"] \n  39 -> 40 [size =\"38296576\"]\n  40 [size=\"52462080\", alpha=\"0.15\", expect_size=\"20984832\"] \n  40 -> 41 [size =\"20984832\"]\n  41 [size=\"69875200\", alpha=\"0.17\", expect_size=\"27950080\"] \n  41 -> 42 [size =\"27950080\"]\n  42 [size=\"57896960\", alpha=\"0.18\", expect_size=\"23158784\"] \n  42 -> 43 [size =\"23158784\"]\n  43 [size=\"121943040\", alpha=\"0.14\", expect_size=\"48777216\"] \n  43 -> 44 [size =\"48777216\"]\n  44 [size=\"96514560\", alpha=\"0.07\", expect_size=\"38605824\"] \n  44 -> 45 [size =\"38605824\"]\n  45 [size=\"54625280\", alpha=\"0.09\", expect_size=\"21850112\"] \n  45 -> 46 [size =\"21850112\"]\n  46 [size=\"126545920\", alpha=\"0.01\", expect_size=\"50618368\"] \n  46 -> 47 [size =\"50618368\"]\n  47 [size=\"52134400\", alpha=\"0.04\", expect_size=\"20853760\"] \n  47 -> 48 [size =\"20853760\"]\n  48 [size=\"43563520\", alpha=\"0.10\", expect_size=\"17425408\"] \n  48 -> 49 [size =\"17425408\"]\n  49 [size=\"63667200\", alpha=\"0.02\", expect_size=\"25466880\"] \n  49 -> 50 [size =\"25466880\"]\n  50 [size=\"70607360\", alpha=\"0.07\", expect_size=\"28242944\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.911.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42833920\", alpha=\"0.11\", expect_size=\"12850176\"] \n  1 -> 20 [size =\"12850176\"]\n  1 -> 20 [size =\"12850176\"]\n  1 -> 21 [size =\"12850176\"]\n  1 -> 24 [size =\"12850176\"]\n  1 -> 27 [size =\"12850176\"]\n  2 [size=\"32157013\", alpha=\"0.03\", expect_size=\"9647104\"] \n  2 -> 20 [size =\"9647104\"]\n  2 -> 21 [size =\"9647104\"]\n  2 -> 24 [size =\"9647104\"]\n  2 -> 33 [size =\"9647104\"]\n  3 [size=\"125928107\", alpha=\"0.10\", expect_size=\"37778432\"] \n  3 -> 21 [size =\"37778432\"]\n  3 -> 23 [size =\"37778432\"]\n  3 -> 25 [size =\"37778432\"]\n  3 -> 28 [size =\"37778432\"]\n  3 -> 31 [size =\"37778432\"]\n  4 [size=\"123951787\", alpha=\"0.12\", expect_size=\"37185536\"] \n  4 -> 20 [size =\"37185536\"]\n  4 -> 24 [size =\"37185536\"]\n  4 -> 28 [size =\"37185536\"]\n  4 -> 31 [size =\"37185536\"]\n  5 [size=\"78039040\", alpha=\"0.07\", expect_size=\"23411712\"] \n  5 -> 21 [size =\"23411712\"]\n  5 -> 27 [size =\"23411712\"]\n  6 [size=\"151483733\", alpha=\"0.17\", expect_size=\"45445120\"] \n  6 -> 20 [size =\"45445120\"]\n  6 -> 23 [size =\"45445120\"]\n  6 -> 25 [size =\"45445120\"]\n  6 -> 28 [size =\"45445120\"]\n  6 -> 30 [size =\"45445120\"]\n  7 [size=\"134628693\", alpha=\"0.11\", expect_size=\"40388608\"] \n  7 -> 28 [size =\"40388608\"]\n  8 [size=\"173765973\", alpha=\"0.08\", expect_size=\"52129792\"] \n  8 -> 28 [size =\"52129792\"]\n  8 -> 31 [size =\"52129792\"]\n  9 [size=\"126801920\", alpha=\"0.04\", expect_size=\"38040576\"] \n  9 -> 20 [size =\"38040576\"]\n  9 -> 22 [size =\"38040576\"]\n  9 -> 23 [size =\"38040576\"]\n  9 -> 28 [size =\"38040576\"]\n  9 -> 31 [size =\"38040576\"]\n  10 [size=\"124067840\", alpha=\"0.16\", expect_size=\"37220352\"] \n  10 -> 20 [size =\"37220352\"]\n  10 -> 23 [size =\"37220352\"]\n  10 -> 27 [size =\"37220352\"]\n  10 -> 31 [size =\"37220352\"]\n  10 -> 33 [size =\"37220352\"]\n  11 [size=\"99331413\", alpha=\"0.12\", expect_size=\"29799424\"] \n  11 -> 22 [size =\"29799424\"]\n  11 -> 23 [size =\"29799424\"]\n  11 -> 24 [size =\"29799424\"]\n  11 -> 31 [size =\"29799424\"]\n  12 [size=\"27712853\", alpha=\"0.16\", expect_size=\"8313856\"] \n  12 -> 22 [size =\"8313856\"]\n  12 -> 23 [size =\"8313856\"]\n  12 -> 28 [size =\"8313856\"]\n  12 -> 29 [size =\"8313856\"]\n  12 -> 30 [size =\"8313856\"]\n  12 -> 31 [size =\"8313856\"]\n  12 -> 32 [size =\"8313856\"]\n  13 [size=\"55036587\", alpha=\"0.05\", expect_size=\"16510976\"] \n  13 -> 20 [size =\"16510976\"]\n  13 -> 23 [size =\"16510976\"]\n  13 -> 27 [size =\"16510976\"]\n  13 -> 29 [size =\"16510976\"]\n  13 -> 30 [size =\"16510976\"]\n  13 -> 31 [size =\"16510976\"]\n  14 [size=\"134874453\", alpha=\"0.18\", expect_size=\"40462336\"] \n  14 -> 20 [size =\"40462336\"]\n  14 -> 27 [size =\"40462336\"]\n  14 -> 30 [size =\"40462336\"]\n  14 -> 31 [size =\"40462336\"]\n  15 [size=\"69143893\", alpha=\"0.02\", expect_size=\"20743168\"] \n  15 -> 27 [size =\"20743168\"]\n  15 -> 30 [size =\"20743168\"]\n  15 -> 30 [size =\"20743168\"]\n  16 [size=\"125969067\", alpha=\"0.09\", expect_size=\"37790720\"] \n  16 -> 23 [size =\"37790720\"]\n  16 -> 25 [size =\"37790720\"]\n  16 -> 26 [size =\"37790720\"]\n  16 -> 27 [size =\"37790720\"]\n  16 -> 30 [size =\"37790720\"]\n  17 [size=\"102014293\", alpha=\"0.16\", expect_size=\"30604288\"] \n  17 -> 20 [size =\"30604288\"]\n  17 -> 25 [size =\"30604288\"]\n  17 -> 27 [size =\"30604288\"]\n  17 -> 32 [size =\"30604288\"]\n  18 [size=\"27446613\", alpha=\"0.13\", expect_size=\"8233984\"] \n  18 -> 19 [size =\"8233984\"]\n  18 -> 20 [size =\"8233984\"]\n  18 -> 21 [size =\"8233984\"]\n  18 -> 22 [size =\"8233984\"]\n  19 [size=\"86999040\", alpha=\"0.18\", expect_size=\"26099712\"] \n  19 -> 34 [size =\"26099712\"]\n  19 -> 35 [size =\"26099712\"]\n  19 -> 40 [size =\"26099712\"]\n  19 -> 41 [size =\"26099712\"]\n  19 -> 44 [size =\"26099712\"]\n  19 -> 46 [size =\"26099712\"]\n  19 -> 48 [size =\"26099712\"]\n  19 -> 49 [size =\"26099712\"]\n  20 [size=\"121995947\", alpha=\"0.00\", expect_size=\"36598784\"] \n  20 -> 34 [size =\"36598784\"]\n  20 -> 40 [size =\"36598784\"]\n  20 -> 43 [size =\"36598784\"]\n  20 -> 44 [size =\"36598784\"]\n  20 -> 46 [size =\"36598784\"]\n  20 -> 46 [size =\"36598784\"]\n  20 -> 47 [size =\"36598784\"]\n  20 -> 48 [size =\"36598784\"]\n  21 [size=\"89344000\", alpha=\"0.07\", expect_size=\"26803200\"] \n  21 -> 34 [size =\"26803200\"]\n  21 -> 36 [size =\"26803200\"]\n  21 -> 38 [size =\"26803200\"]\n  21 -> 43 [size =\"26803200\"]\n  21 -> 46 [size =\"26803200\"]\n  22 [size=\"22900053\", alpha=\"0.15\", expect_size=\"6870016\"] \n  22 -> 34 [size =\"6870016\"]\n  22 -> 36 [size =\"6870016\"]\n  22 -> 38 [size =\"6870016\"]\n  23 [size=\"145916587\", alpha=\"0.16\", expect_size=\"43774976\"] \n  23 -> 41 [size =\"43774976\"]\n  23 -> 42 [size =\"43774976\"]\n  24 [size=\"29754027\", alpha=\"0.12\", expect_size=\"8926208\"] \n  24 -> 34 [size =\"8926208\"]\n  24 -> 37 [size =\"8926208\"]\n  24 -> 48 [size =\"8926208\"]\n  25 [size=\"17821013\", alpha=\"0.15\", expect_size=\"5346304\"] \n  25 -> 34 [size =\"5346304\"]\n  25 -> 41 [size =\"5346304\"]\n  25 -> 43 [size =\"5346304\"]\n  25 -> 46 [size =\"5346304\"]\n  26 [size=\"36212053\", alpha=\"0.15\", expect_size=\"10863616\"] \n  26 -> 34 [size =\"10863616\"]\n  26 -> 40 [size =\"10863616\"]\n  26 -> 46 [size =\"10863616\"]\n  26 -> 47 [size =\"10863616\"]\n  26 -> 48 [size =\"10863616\"]\n  27 [size=\"110574933\", alpha=\"0.10\", expect_size=\"33172480\"] \n  27 -> 34 [size =\"33172480\"]\n  27 -> 40 [size =\"33172480\"]\n  27 -> 41 [size =\"33172480\"]\n  27 -> 45 [size =\"33172480\"]\n  27 -> 46 [size =\"33172480\"]\n  27 -> 48 [size =\"33172480\"]\n  28 [size=\"76864853\", alpha=\"0.04\", expect_size=\"23059456\"] \n  28 -> 34 [size =\"23059456\"]\n  28 -> 35 [size =\"23059456\"]\n  28 -> 38 [size =\"23059456\"]\n  28 -> 41 [size =\"23059456\"]\n  28 -> 42 [size =\"23059456\"]\n  28 -> 44 [size =\"23059456\"]\n  28 -> 45 [size =\"23059456\"]\n  28 -> 48 [size =\"23059456\"]\n  29 [size=\"21118293\", alpha=\"0.13\", expect_size=\"6335488\"] \n  29 -> 38 [size =\"6335488\"]\n  29 -> 40 [size =\"6335488\"]\n  29 -> 42 [size =\"6335488\"]\n  29 -> 45 [size =\"6335488\"]\n  29 -> 48 [size =\"6335488\"]\n  29 -> 50 [size =\"6335488\"]\n  30 [size=\"159126187\", alpha=\"0.15\", expect_size=\"47737856\"] \n  30 -> 35 [size =\"47737856\"]\n  30 -> 36 [size =\"47737856\"]\n  30 -> 38 [size =\"47737856\"]\n  30 -> 41 [size =\"47737856\"]\n  30 -> 44 [size =\"47737856\"]\n  31 [size=\"162546347\", alpha=\"0.08\", expect_size=\"48763904\"] \n  31 -> 36 [size =\"48763904\"]\n  31 -> 38 [size =\"48763904\"]\n  31 -> 39 [size =\"48763904\"]\n  31 -> 43 [size =\"48763904\"]\n  31 -> 44 [size =\"48763904\"]\n  31 -> 46 [size =\"48763904\"]\n  32 [size=\"56739840\", alpha=\"0.02\", expect_size=\"17021952\"] \n  32 -> 38 [size =\"17021952\"]\n  32 -> 38 [size =\"17021952\"]\n  32 -> 40 [size =\"17021952\"]\n  32 -> 42 [size =\"17021952\"]\n  32 -> 44 [size =\"17021952\"]\n  32 -> 47 [size =\"17021952\"]\n  33 [size=\"170963627\", alpha=\"0.01\", expect_size=\"51289088\"] \n  33 -> 36 [size =\"51289088\"]\n  33 -> 40 [size =\"51289088\"]\n  33 -> 44 [size =\"51289088\"]\n  33 -> 46 [size =\"51289088\"]\n  33 -> 48 [size =\"51289088\"]\n  34 [size=\"141813760\", alpha=\"0.15\", expect_size=\"42544128\"] \n  35 [size=\"75762347\", alpha=\"0.15\", expect_size=\"22728704\"] \n  36 [size=\"33375573\", alpha=\"0.09\", expect_size=\"10012672\"] \n  37 [size=\"148667733\", alpha=\"0.14\", expect_size=\"44600320\"] \n  38 [size=\"66928640\", alpha=\"0.20\", expect_size=\"20078592\"] \n  39 [size=\"101737813\", alpha=\"0.15\", expect_size=\"30521344\"] \n  40 [size=\"47854933\", alpha=\"0.03\", expect_size=\"14356480\"] \n  41 [size=\"169157973\", alpha=\"0.00\", expect_size=\"50747392\"] \n  42 [size=\"75642880\", alpha=\"0.18\", expect_size=\"22692864\"] \n  43 [size=\"92122453\", alpha=\"0.13\", expect_size=\"27636736\"] \n  44 [size=\"98877440\", alpha=\"0.09\", expect_size=\"29663232\"] \n  45 [size=\"56012800\", alpha=\"0.05\", expect_size=\"16803840\"] \n  46 [size=\"172492800\", alpha=\"0.03\", expect_size=\"51747840\"] \n  47 [size=\"84944213\", alpha=\"0.13\", expect_size=\"25483264\"] \n  48 [size=\"35191467\", alpha=\"0.11\", expect_size=\"10557440\"] \n  49 [size=\"33211733\", alpha=\"0.09\", expect_size=\"9963520\"] \n  50 [size=\"148527787\", alpha=\"0.05\", expect_size=\"44558336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.912.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72544256\", alpha=\"0.06\", expect_size=\"36272128\"] \n  1 -> 14 [size =\"36272128\"]\n  1 -> 20 [size =\"36272128\"]\n  1 -> 22 [size =\"36272128\"]\n  1 -> 24 [size =\"36272128\"]\n  1 -> 26 [size =\"36272128\"]\n  1 -> 27 [size =\"36272128\"]\n  2 [size=\"85946368\", alpha=\"0.17\", expect_size=\"42973184\"] \n  2 -> 12 [size =\"42973184\"]\n  2 -> 18 [size =\"42973184\"]\n  2 -> 19 [size =\"42973184\"]\n  2 -> 21 [size =\"42973184\"]\n  3 [size=\"10862592\", alpha=\"0.10\", expect_size=\"5431296\"] \n  3 -> 10 [size =\"5431296\"]\n  3 -> 11 [size =\"5431296\"]\n  3 -> 17 [size =\"5431296\"]\n  3 -> 22 [size =\"5431296\"]\n  3 -> 24 [size =\"5431296\"]\n  3 -> 25 [size =\"5431296\"]\n  3 -> 26 [size =\"5431296\"]\n  3 -> 27 [size =\"5431296\"]\n  4 [size=\"83400704\", alpha=\"0.16\", expect_size=\"41700352\"] \n  4 -> 12 [size =\"41700352\"]\n  4 -> 13 [size =\"41700352\"]\n  4 -> 18 [size =\"41700352\"]\n  4 -> 19 [size =\"41700352\"]\n  4 -> 20 [size =\"41700352\"]\n  4 -> 23 [size =\"41700352\"]\n  4 -> 24 [size =\"41700352\"]\n  4 -> 25 [size =\"41700352\"]\n  4 -> 27 [size =\"41700352\"]\n  5 [size=\"63649792\", alpha=\"0.15\", expect_size=\"31824896\"] \n  5 -> 10 [size =\"31824896\"]\n  5 -> 11 [size =\"31824896\"]\n  5 -> 12 [size =\"31824896\"]\n  5 -> 14 [size =\"31824896\"]\n  5 -> 15 [size =\"31824896\"]\n  5 -> 16 [size =\"31824896\"]\n  5 -> 21 [size =\"31824896\"]\n  5 -> 23 [size =\"31824896\"]\n  5 -> 24 [size =\"31824896\"]\n  5 -> 25 [size =\"31824896\"]\n  6 [size=\"75395072\", alpha=\"0.17\", expect_size=\"37697536\"] \n  6 -> 14 [size =\"37697536\"]\n  6 -> 17 [size =\"37697536\"]\n  6 -> 20 [size =\"37697536\"]\n  6 -> 26 [size =\"37697536\"]\n  6 -> 27 [size =\"37697536\"]\n  7 [size=\"31997952\", alpha=\"0.19\", expect_size=\"15998976\"] \n  7 -> 10 [size =\"15998976\"]\n  7 -> 11 [size =\"15998976\"]\n  7 -> 14 [size =\"15998976\"]\n  7 -> 16 [size =\"15998976\"]\n  7 -> 20 [size =\"15998976\"]\n  7 -> 21 [size =\"15998976\"]\n  7 -> 22 [size =\"15998976\"]\n  7 -> 24 [size =\"15998976\"]\n  7 -> 25 [size =\"15998976\"]\n  7 -> 27 [size =\"15998976\"]\n  8 [size=\"41551872\", alpha=\"0.02\", expect_size=\"20775936\"] \n  8 -> 10 [size =\"20775936\"]\n  8 -> 11 [size =\"20775936\"]\n  8 -> 12 [size =\"20775936\"]\n  8 -> 13 [size =\"20775936\"]\n  8 -> 14 [size =\"20775936\"]\n  8 -> 16 [size =\"20775936\"]\n  8 -> 22 [size =\"20775936\"]\n  8 -> 23 [size =\"20775936\"]\n  8 -> 25 [size =\"20775936\"]\n  8 -> 29 [size =\"20775936\"]\n  9 [size=\"98160640\", alpha=\"0.19\", expect_size=\"49080320\"] \n  9 -> 10 [size =\"49080320\"]\n  9 -> 11 [size =\"49080320\"]\n  9 -> 12 [size =\"49080320\"]\n  9 -> 17 [size =\"49080320\"]\n  9 -> 20 [size =\"49080320\"]\n  9 -> 21 [size =\"49080320\"]\n  9 -> 23 [size =\"49080320\"]\n  9 -> 28 [size =\"49080320\"]\n  10 [size=\"16144384\", alpha=\"0.08\", expect_size=\"8072192\"] \n  10 -> 31 [size =\"8072192\"]\n  10 -> 32 [size =\"8072192\"]\n  10 -> 33 [size =\"8072192\"]\n  10 -> 34 [size =\"8072192\"]\n  10 -> 35 [size =\"8072192\"]\n  10 -> 36 [size =\"8072192\"]\n  10 -> 37 [size =\"8072192\"]\n  10 -> 38 [size =\"8072192\"]\n  10 -> 40 [size =\"8072192\"]\n  11 [size=\"44781568\", alpha=\"0.07\", expect_size=\"22390784\"] \n  11 -> 31 [size =\"22390784\"]\n  11 -> 32 [size =\"22390784\"]\n  11 -> 35 [size =\"22390784\"]\n  11 -> 40 [size =\"22390784\"]\n  11 -> 41 [size =\"22390784\"]\n  11 -> 43 [size =\"22390784\"]\n  12 [size=\"74774528\", alpha=\"0.13\", expect_size=\"37387264\"] \n  12 -> 31 [size =\"37387264\"]\n  12 -> 35 [size =\"37387264\"]\n  12 -> 35 [size =\"37387264\"]\n  12 -> 36 [size =\"37387264\"]\n  13 [size=\"61739008\", alpha=\"0.20\", expect_size=\"30869504\"] \n  13 -> 32 [size =\"30869504\"]\n  13 -> 39 [size =\"30869504\"]\n  13 -> 41 [size =\"30869504\"]\n  14 [size=\"12978176\", alpha=\"0.11\", expect_size=\"6489088\"] \n  14 -> 36 [size =\"6489088\"]\n  15 [size=\"89325568\", alpha=\"0.09\", expect_size=\"44662784\"] \n  15 -> 35 [size =\"44662784\"]\n  15 -> 38 [size =\"44662784\"]\n  15 -> 39 [size =\"44662784\"]\n  16 [size=\"65206272\", alpha=\"0.20\", expect_size=\"32603136\"] \n  16 -> 35 [size =\"32603136\"]\n  16 -> 37 [size =\"32603136\"]\n  16 -> 39 [size =\"32603136\"]\n  17 [size=\"52078592\", alpha=\"0.15\", expect_size=\"26039296\"] \n  17 -> 35 [size =\"26039296\"]\n  17 -> 36 [size =\"26039296\"]\n  17 -> 40 [size =\"26039296\"]\n  17 -> 41 [size =\"26039296\"]\n  17 -> 43 [size =\"26039296\"]\n  18 [size=\"48539648\", alpha=\"0.12\", expect_size=\"24269824\"] \n  18 -> 31 [size =\"24269824\"]\n  18 -> 32 [size =\"24269824\"]\n  18 -> 35 [size =\"24269824\"]\n  18 -> 40 [size =\"24269824\"]\n  19 [size=\"57810944\", alpha=\"0.19\", expect_size=\"28905472\"] \n  19 -> 35 [size =\"28905472\"]\n  19 -> 36 [size =\"28905472\"]\n  19 -> 38 [size =\"28905472\"]\n  19 -> 39 [size =\"28905472\"]\n  19 -> 40 [size =\"28905472\"]\n  19 -> 41 [size =\"28905472\"]\n  19 -> 42 [size =\"28905472\"]\n  19 -> 43 [size =\"28905472\"]\n  20 [size=\"50739200\", alpha=\"0.04\", expect_size=\"25369600\"] \n  20 -> 30 [size =\"25369600\"]\n  20 -> 35 [size =\"25369600\"]\n  20 -> 36 [size =\"25369600\"]\n  20 -> 37 [size =\"25369600\"]\n  20 -> 38 [size =\"25369600\"]\n  20 -> 40 [size =\"25369600\"]\n  20 -> 42 [size =\"25369600\"]\n  21 [size=\"86308864\", alpha=\"0.03\", expect_size=\"43154432\"] \n  21 -> 35 [size =\"43154432\"]\n  21 -> 36 [size =\"43154432\"]\n  21 -> 39 [size =\"43154432\"]\n  21 -> 40 [size =\"43154432\"]\n  21 -> 43 [size =\"43154432\"]\n  22 [size=\"26667008\", alpha=\"0.18\", expect_size=\"13333504\"] \n  22 -> 39 [size =\"13333504\"]\n  22 -> 40 [size =\"13333504\"]\n  22 -> 43 [size =\"13333504\"]\n  23 [size=\"88817664\", alpha=\"0.12\", expect_size=\"44408832\"] \n  23 -> 31 [size =\"44408832\"]\n  23 -> 34 [size =\"44408832\"]\n  23 -> 41 [size =\"44408832\"]\n  24 [size=\"88551424\", alpha=\"0.02\", expect_size=\"44275712\"] \n  24 -> 31 [size =\"44275712\"]\n  24 -> 32 [size =\"44275712\"]\n  24 -> 36 [size =\"44275712\"]\n  24 -> 39 [size =\"44275712\"]\n  25 [size=\"48091136\", alpha=\"0.04\", expect_size=\"24045568\"] \n  25 -> 31 [size =\"24045568\"]\n  25 -> 39 [size =\"24045568\"]\n  26 [size=\"92608512\", alpha=\"0.19\", expect_size=\"46304256\"] \n  26 -> 31 [size =\"46304256\"]\n  26 -> 32 [size =\"46304256\"]\n  26 -> 33 [size =\"46304256\"]\n  26 -> 39 [size =\"46304256\"]\n  26 -> 42 [size =\"46304256\"]\n  27 [size=\"90433536\", alpha=\"0.19\", expect_size=\"45216768\"] \n  27 -> 31 [size =\"45216768\"]\n  27 -> 35 [size =\"45216768\"]\n  27 -> 36 [size =\"45216768\"]\n  27 -> 40 [size =\"45216768\"]\n  28 [size=\"67829760\", alpha=\"0.05\", expect_size=\"33914880\"] \n  28 -> 31 [size =\"33914880\"]\n  28 -> 36 [size =\"33914880\"]\n  28 -> 38 [size =\"33914880\"]\n  29 [size=\"27901952\", alpha=\"0.10\", expect_size=\"13950976\"] \n  29 -> 31 [size =\"13950976\"]\n  29 -> 42 [size =\"13950976\"]\n  29 -> 43 [size =\"13950976\"]\n  30 [size=\"23064576\", alpha=\"0.16\", expect_size=\"11532288\"] \n  30 -> 45 [size =\"11532288\"]\n  30 -> 47 [size =\"11532288\"]\n  30 -> 49 [size =\"11532288\"]\n  31 [size=\"43872256\", alpha=\"0.09\", expect_size=\"21936128\"] \n  31 -> 45 [size =\"21936128\"]\n  31 -> 46 [size =\"21936128\"]\n  31 -> 47 [size =\"21936128\"]\n  31 -> 50 [size =\"21936128\"]\n  32 [size=\"58017792\", alpha=\"0.16\", expect_size=\"29008896\"] \n  32 -> 44 [size =\"29008896\"]\n  32 -> 45 [size =\"29008896\"]\n  32 -> 46 [size =\"29008896\"]\n  32 -> 47 [size =\"29008896\"]\n  33 [size=\"46585856\", alpha=\"0.14\", expect_size=\"23292928\"] \n  33 -> 44 [size =\"23292928\"]\n  33 -> 49 [size =\"23292928\"]\n  33 -> 50 [size =\"23292928\"]\n  34 [size=\"104329216\", alpha=\"0.12\", expect_size=\"52164608\"] \n  34 -> 46 [size =\"52164608\"]\n  34 -> 49 [size =\"52164608\"]\n  34 -> 50 [size =\"52164608\"]\n  35 [size=\"21047296\", alpha=\"0.07\", expect_size=\"10523648\"] \n  35 -> 46 [size =\"10523648\"]\n  35 -> 48 [size =\"10523648\"]\n  35 -> 50 [size =\"10523648\"]\n  36 [size=\"38649856\", alpha=\"0.14\", expect_size=\"19324928\"] \n  36 -> 47 [size =\"19324928\"]\n  36 -> 50 [size =\"19324928\"]\n  37 [size=\"33306624\", alpha=\"0.09\", expect_size=\"16653312\"] \n  37 -> 47 [size =\"16653312\"]\n  37 -> 50 [size =\"16653312\"]\n  38 [size=\"26525696\", alpha=\"0.13\", expect_size=\"13262848\"] \n  38 -> 46 [size =\"13262848\"]\n  38 -> 47 [size =\"13262848\"]\n  39 [size=\"49379328\", alpha=\"0.06\", expect_size=\"24689664\"] \n  39 -> 46 [size =\"24689664\"]\n  40 [size=\"95168512\", alpha=\"0.09\", expect_size=\"47584256\"] \n  40 -> 49 [size =\"47584256\"]\n  41 [size=\"75184128\", alpha=\"0.07\", expect_size=\"37592064\"] \n  41 -> 45 [size =\"37592064\"]\n  42 [size=\"23724032\", alpha=\"0.08\", expect_size=\"11862016\"] \n  42 -> 44 [size =\"11862016\"]\n  42 -> 50 [size =\"11862016\"]\n  43 [size=\"99448832\", alpha=\"0.06\", expect_size=\"49724416\"] \n  43 -> 46 [size =\"49724416\"]\n  43 -> 49 [size =\"49724416\"]\n  43 -> 50 [size =\"49724416\"]\n  44 [size=\"70498304\", alpha=\"0.01\", expect_size=\"35249152\"] \n  45 [size=\"33736704\", alpha=\"0.04\", expect_size=\"16868352\"] \n  46 [size=\"68007936\", alpha=\"0.04\", expect_size=\"34003968\"] \n  47 [size=\"39284736\", alpha=\"0.01\", expect_size=\"19642368\"] \n  48 [size=\"83537920\", alpha=\"0.10\", expect_size=\"41768960\"] \n  49 [size=\"50073600\", alpha=\"0.03\", expect_size=\"25036800\"] \n  50 [size=\"80594944\", alpha=\"0.19\", expect_size=\"40297472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.913.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101787648\", alpha=\"0.12\", expect_size=\"50893824\"] \n  1 -> 2 [size =\"50893824\"]\n  2 [size=\"19910656\", alpha=\"0.10\", expect_size=\"9955328\"] \n  2 -> 3 [size =\"9955328\"]\n  3 [size=\"94146560\", alpha=\"0.20\", expect_size=\"47073280\"] \n  3 -> 4 [size =\"47073280\"]\n  4 [size=\"104802304\", alpha=\"0.03\", expect_size=\"52401152\"] \n  4 -> 5 [size =\"52401152\"]\n  5 [size=\"101081088\", alpha=\"0.07\", expect_size=\"50540544\"] \n  5 -> 6 [size =\"50540544\"]\n  6 [size=\"44851200\", alpha=\"0.10\", expect_size=\"22425600\"] \n  6 -> 7 [size =\"22425600\"]\n  7 [size=\"86749184\", alpha=\"0.01\", expect_size=\"43374592\"] \n  7 -> 8 [size =\"43374592\"]\n  8 [size=\"84402176\", alpha=\"0.05\", expect_size=\"42201088\"] \n  8 -> 9 [size =\"42201088\"]\n  9 [size=\"61841408\", alpha=\"0.01\", expect_size=\"30920704\"] \n  9 -> 10 [size =\"30920704\"]\n  10 [size=\"13623296\", alpha=\"0.14\", expect_size=\"6811648\"] \n  10 -> 11 [size =\"6811648\"]\n  11 [size=\"72114176\", alpha=\"0.01\", expect_size=\"36057088\"] \n  11 -> 12 [size =\"36057088\"]\n  12 [size=\"33320960\", alpha=\"0.18\", expect_size=\"16660480\"] \n  12 -> 13 [size =\"16660480\"]\n  13 [size=\"81479680\", alpha=\"0.10\", expect_size=\"40739840\"] \n  13 -> 14 [size =\"40739840\"]\n  14 [size=\"81387520\", alpha=\"0.12\", expect_size=\"40693760\"] \n  14 -> 15 [size =\"40693760\"]\n  15 [size=\"96036864\", alpha=\"0.18\", expect_size=\"48018432\"] \n  15 -> 16 [size =\"48018432\"]\n  16 [size=\"36403200\", alpha=\"0.09\", expect_size=\"18201600\"] \n  16 -> 17 [size =\"18201600\"]\n  17 [size=\"84815872\", alpha=\"0.03\", expect_size=\"42407936\"] \n  17 -> 18 [size =\"42407936\"]\n  18 [size=\"90345472\", alpha=\"0.10\", expect_size=\"45172736\"] \n  18 -> 19 [size =\"45172736\"]\n  19 [size=\"21022720\", alpha=\"0.18\", expect_size=\"10511360\"] \n  19 -> 20 [size =\"10511360\"]\n  20 [size=\"23683072\", alpha=\"0.04\", expect_size=\"11841536\"] \n  20 -> 21 [size =\"11841536\"]\n  21 [size=\"91461632\", alpha=\"0.11\", expect_size=\"45730816\"] \n  21 -> 22 [size =\"45730816\"]\n  22 [size=\"96749568\", alpha=\"0.19\", expect_size=\"48374784\"] \n  22 -> 23 [size =\"48374784\"]\n  23 [size=\"88918016\", alpha=\"0.04\", expect_size=\"44459008\"] \n  23 -> 24 [size =\"44459008\"]\n  24 [size=\"42747904\", alpha=\"0.10\", expect_size=\"21373952\"] \n  24 -> 25 [size =\"21373952\"]\n  25 [size=\"99389440\", alpha=\"0.15\", expect_size=\"49694720\"] \n  25 -> 26 [size =\"49694720\"]\n  26 [size=\"90963968\", alpha=\"0.07\", expect_size=\"45481984\"] \n  26 -> 27 [size =\"45481984\"]\n  27 [size=\"40671232\", alpha=\"0.16\", expect_size=\"20335616\"] \n  27 -> 28 [size =\"20335616\"]\n  28 [size=\"55592960\", alpha=\"0.00\", expect_size=\"27796480\"] \n  28 -> 29 [size =\"27796480\"]\n  29 [size=\"103319552\", alpha=\"0.15\", expect_size=\"51659776\"] \n  29 -> 30 [size =\"51659776\"]\n  30 [size=\"92469248\", alpha=\"0.11\", expect_size=\"46234624\"] \n  30 -> 31 [size =\"46234624\"]\n  31 [size=\"19001344\", alpha=\"0.19\", expect_size=\"9500672\"] \n  31 -> 32 [size =\"9500672\"]\n  32 [size=\"68589568\", alpha=\"0.13\", expect_size=\"34294784\"] \n  32 -> 33 [size =\"34294784\"]\n  33 [size=\"61915136\", alpha=\"0.02\", expect_size=\"30957568\"] \n  33 -> 34 [size =\"30957568\"]\n  34 [size=\"82640896\", alpha=\"0.05\", expect_size=\"41320448\"] \n  34 -> 35 [size =\"41320448\"]\n  35 [size=\"36341760\", alpha=\"0.07\", expect_size=\"18170880\"] \n  35 -> 36 [size =\"18170880\"]\n  36 [size=\"13611008\", alpha=\"0.14\", expect_size=\"6805504\"] \n  36 -> 37 [size =\"6805504\"]\n  37 [size=\"48818176\", alpha=\"0.17\", expect_size=\"24409088\"] \n  37 -> 38 [size =\"24409088\"]\n  38 [size=\"29480960\", alpha=\"0.17\", expect_size=\"14740480\"] \n  38 -> 39 [size =\"14740480\"]\n  39 [size=\"29517824\", alpha=\"0.19\", expect_size=\"14758912\"] \n  39 -> 40 [size =\"14758912\"]\n  40 [size=\"100284416\", alpha=\"0.04\", expect_size=\"50142208\"] \n  40 -> 41 [size =\"50142208\"]\n  41 [size=\"56174592\", alpha=\"0.06\", expect_size=\"28087296\"] \n  41 -> 42 [size =\"28087296\"]\n  42 [size=\"53188608\", alpha=\"0.07\", expect_size=\"26594304\"] \n  42 -> 43 [size =\"26594304\"]\n  43 [size=\"19793920\", alpha=\"0.04\", expect_size=\"9896960\"] \n  43 -> 44 [size =\"9896960\"]\n  44 [size=\"26984448\", alpha=\"0.08\", expect_size=\"13492224\"] \n  44 -> 45 [size =\"13492224\"]\n  45 [size=\"51288064\", alpha=\"0.10\", expect_size=\"25644032\"] \n  45 -> 46 [size =\"25644032\"]\n  46 [size=\"83890176\", alpha=\"0.10\", expect_size=\"41945088\"] \n  46 -> 47 [size =\"41945088\"]\n  47 [size=\"56334336\", alpha=\"0.16\", expect_size=\"28167168\"] \n  47 -> 48 [size =\"28167168\"]\n  48 [size=\"42954752\", alpha=\"0.12\", expect_size=\"21477376\"] \n  48 -> 49 [size =\"21477376\"]\n  49 [size=\"29237248\", alpha=\"0.07\", expect_size=\"14618624\"] \n  49 -> 50 [size =\"14618624\"]\n  50 [size=\"25724928\", alpha=\"0.00\", expect_size=\"12862464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.914.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"58144768\", alpha=\"0.11\", expect_size=\"29072384\"] \n  1 -> 8 [size =\"29072384\"]\n  1 -> 12 [size =\"29072384\"]\n  2 [size=\"102719488\", alpha=\"0.19\", expect_size=\"51359744\"] \n  2 -> 8 [size =\"51359744\"]\n  2 -> 10 [size =\"51359744\"]\n  2 -> 11 [size =\"51359744\"]\n  2 -> 12 [size =\"51359744\"]\n  3 [size=\"13336576\", alpha=\"0.16\", expect_size=\"6668288\"] \n  3 -> 8 [size =\"6668288\"]\n  3 -> 9 [size =\"6668288\"]\n  3 -> 10 [size =\"6668288\"]\n  3 -> 11 [size =\"6668288\"]\n  3 -> 12 [size =\"6668288\"]\n  4 [size=\"52529152\", alpha=\"0.17\", expect_size=\"26264576\"] \n  4 -> 8 [size =\"26264576\"]\n  4 -> 9 [size =\"26264576\"]\n  4 -> 10 [size =\"26264576\"]\n  4 -> 11 [size =\"26264576\"]\n  5 [size=\"36974592\", alpha=\"0.01\", expect_size=\"18487296\"] \n  5 -> 8 [size =\"18487296\"]\n  5 -> 9 [size =\"18487296\"]\n  5 -> 10 [size =\"18487296\"]\n  5 -> 11 [size =\"18487296\"]\n  6 [size=\"34240512\", alpha=\"0.15\", expect_size=\"17120256\"] \n  6 -> 8 [size =\"17120256\"]\n  6 -> 10 [size =\"17120256\"]\n  6 -> 10 [size =\"17120256\"]\n  6 -> 11 [size =\"17120256\"]\n  6 -> 12 [size =\"17120256\"]\n  7 [size=\"23375872\", alpha=\"0.16\", expect_size=\"11687936\"] \n  7 -> 8 [size =\"11687936\"]\n  7 -> 9 [size =\"11687936\"]\n  7 -> 10 [size =\"11687936\"]\n  7 -> 11 [size =\"11687936\"]\n  7 -> 12 [size =\"11687936\"]\n  8 [size=\"67604480\", alpha=\"0.07\", expect_size=\"33802240\"] \n  8 -> 13 [size =\"33802240\"]\n  8 -> 16 [size =\"33802240\"]\n  8 -> 17 [size =\"33802240\"]\n  9 [size=\"72202240\", alpha=\"0.18\", expect_size=\"36101120\"] \n  9 -> 13 [size =\"36101120\"]\n  9 -> 14 [size =\"36101120\"]\n  9 -> 16 [size =\"36101120\"]\n  9 -> 17 [size =\"36101120\"]\n  10 [size=\"14604288\", alpha=\"0.04\", expect_size=\"7302144\"] \n  10 -> 13 [size =\"7302144\"]\n  10 -> 14 [size =\"7302144\"]\n  10 -> 16 [size =\"7302144\"]\n  10 -> 17 [size =\"7302144\"]\n  11 [size=\"12242944\", alpha=\"0.08\", expect_size=\"6121472\"] \n  11 -> 13 [size =\"6121472\"]\n  11 -> 15 [size =\"6121472\"]\n  11 -> 16 [size =\"6121472\"]\n  11 -> 17 [size =\"6121472\"]\n  12 [size=\"62859264\", alpha=\"0.09\", expect_size=\"31429632\"] \n  12 -> 16 [size =\"31429632\"]\n  12 -> 17 [size =\"31429632\"]\n  13 [size=\"60338176\", alpha=\"0.02\", expect_size=\"30169088\"] \n  13 -> 18 [size =\"30169088\"]\n  13 -> 21 [size =\"30169088\"]\n  13 -> 24 [size =\"30169088\"]\n  14 [size=\"39782400\", alpha=\"0.12\", expect_size=\"19891200\"] \n  14 -> 20 [size =\"19891200\"]\n  14 -> 21 [size =\"19891200\"]\n  14 -> 22 [size =\"19891200\"]\n  14 -> 23 [size =\"19891200\"]\n  14 -> 24 [size =\"19891200\"]\n  15 [size=\"23384064\", alpha=\"0.13\", expect_size=\"11692032\"] \n  15 -> 20 [size =\"11692032\"]\n  15 -> 22 [size =\"11692032\"]\n  15 -> 22 [size =\"11692032\"]\n  15 -> 23 [size =\"11692032\"]\n  15 -> 24 [size =\"11692032\"]\n  16 [size=\"26081280\", alpha=\"0.11\", expect_size=\"13040640\"] \n  16 -> 19 [size =\"13040640\"]\n  16 -> 20 [size =\"13040640\"]\n  16 -> 21 [size =\"13040640\"]\n  16 -> 22 [size =\"13040640\"]\n  16 -> 23 [size =\"13040640\"]\n  17 [size=\"95322112\", alpha=\"0.08\", expect_size=\"47661056\"] \n  17 -> 19 [size =\"47661056\"]\n  17 -> 20 [size =\"47661056\"]\n  17 -> 21 [size =\"47661056\"]\n  17 -> 22 [size =\"47661056\"]\n  17 -> 24 [size =\"47661056\"]\n  18 [size=\"74921984\", alpha=\"0.05\", expect_size=\"37460992\"] \n  18 -> 29 [size =\"37460992\"]\n  19 [size=\"13101056\", alpha=\"0.05\", expect_size=\"6550528\"] \n  19 -> 26 [size =\"6550528\"]\n  19 -> 28 [size =\"6550528\"]\n  19 -> 29 [size =\"6550528\"]\n  20 [size=\"100358144\", alpha=\"0.03\", expect_size=\"50179072\"] \n  20 -> 25 [size =\"50179072\"]\n  20 -> 26 [size =\"50179072\"]\n  20 -> 29 [size =\"50179072\"]\n  20 -> 30 [size =\"50179072\"]\n  21 [size=\"23101440\", alpha=\"0.11\", expect_size=\"11550720\"] \n  21 -> 25 [size =\"11550720\"]\n  21 -> 27 [size =\"11550720\"]\n  22 [size=\"58542080\", alpha=\"0.19\", expect_size=\"29271040\"] \n  22 -> 25 [size =\"29271040\"]\n  22 -> 26 [size =\"29271040\"]\n  22 -> 27 [size =\"29271040\"]\n  22 -> 29 [size =\"29271040\"]\n  23 [size=\"101597184\", alpha=\"0.07\", expect_size=\"50798592\"] \n  23 -> 26 [size =\"50798592\"]\n  23 -> 27 [size =\"50798592\"]\n  23 -> 29 [size =\"50798592\"]\n  23 -> 29 [size =\"50798592\"]\n  23 -> 30 [size =\"50798592\"]\n  24 [size=\"16113664\", alpha=\"0.03\", expect_size=\"8056832\"] \n  24 -> 29 [size =\"8056832\"]\n  25 [size=\"72720384\", alpha=\"0.06\", expect_size=\"36360192\"] \n  25 -> 32 [size =\"36360192\"]\n  25 -> 33 [size =\"36360192\"]\n  25 -> 34 [size =\"36360192\"]\n  25 -> 35 [size =\"36360192\"]\n  25 -> 36 [size =\"36360192\"]\n  25 -> 38 [size =\"36360192\"]\n  26 [size=\"40970240\", alpha=\"0.14\", expect_size=\"20485120\"] \n  26 -> 31 [size =\"20485120\"]\n  26 -> 32 [size =\"20485120\"]\n  26 -> 33 [size =\"20485120\"]\n  26 -> 35 [size =\"20485120\"]\n  26 -> 37 [size =\"20485120\"]\n  26 -> 38 [size =\"20485120\"]\n  27 [size=\"90736640\", alpha=\"0.04\", expect_size=\"45368320\"] \n  27 -> 31 [size =\"45368320\"]\n  27 -> 33 [size =\"45368320\"]\n  27 -> 34 [size =\"45368320\"]\n  27 -> 35 [size =\"45368320\"]\n  27 -> 37 [size =\"45368320\"]\n  27 -> 38 [size =\"45368320\"]\n  28 [size=\"32868352\", alpha=\"0.06\", expect_size=\"16434176\"] \n  28 -> 31 [size =\"16434176\"]\n  28 -> 32 [size =\"16434176\"]\n  28 -> 33 [size =\"16434176\"]\n  28 -> 35 [size =\"16434176\"]\n  28 -> 36 [size =\"16434176\"]\n  28 -> 37 [size =\"16434176\"]\n  29 [size=\"56528896\", alpha=\"0.02\", expect_size=\"28264448\"] \n  29 -> 31 [size =\"28264448\"]\n  29 -> 32 [size =\"28264448\"]\n  29 -> 34 [size =\"28264448\"]\n  29 -> 35 [size =\"28264448\"]\n  29 -> 36 [size =\"28264448\"]\n  29 -> 37 [size =\"28264448\"]\n  29 -> 38 [size =\"28264448\"]\n  30 [size=\"82169856\", alpha=\"0.18\", expect_size=\"41084928\"] \n  30 -> 31 [size =\"41084928\"]\n  30 -> 34 [size =\"41084928\"]\n  30 -> 35 [size =\"41084928\"]\n  30 -> 36 [size =\"41084928\"]\n  30 -> 36 [size =\"41084928\"]\n  30 -> 37 [size =\"41084928\"]\n  31 [size=\"97331200\", alpha=\"0.15\", expect_size=\"48665600\"] \n  31 -> 40 [size =\"48665600\"]\n  31 -> 41 [size =\"48665600\"]\n  31 -> 42 [size =\"48665600\"]\n  32 [size=\"55300096\", alpha=\"0.03\", expect_size=\"27650048\"] \n  32 -> 40 [size =\"27650048\"]\n  32 -> 41 [size =\"27650048\"]\n  33 [size=\"48312320\", alpha=\"0.01\", expect_size=\"24156160\"] \n  33 -> 39 [size =\"24156160\"]\n  33 -> 40 [size =\"24156160\"]\n  33 -> 41 [size =\"24156160\"]\n  34 [size=\"79220736\", alpha=\"0.06\", expect_size=\"39610368\"] \n  34 -> 41 [size =\"39610368\"]\n  35 [size=\"95692800\", alpha=\"0.13\", expect_size=\"47846400\"] \n  35 -> 41 [size =\"47846400\"]\n  35 -> 42 [size =\"47846400\"]\n  35 -> 43 [size =\"47846400\"]\n  36 [size=\"29847552\", alpha=\"0.04\", expect_size=\"14923776\"] \n  36 -> 40 [size =\"14923776\"]\n  36 -> 43 [size =\"14923776\"]\n  37 [size=\"94185472\", alpha=\"0.13\", expect_size=\"47092736\"] \n  37 -> 40 [size =\"47092736\"]\n  37 -> 42 [size =\"47092736\"]\n  37 -> 43 [size =\"47092736\"]\n  38 [size=\"18481152\", alpha=\"0.15\", expect_size=\"9240576\"] \n  38 -> 40 [size =\"9240576\"]\n  38 -> 41 [size =\"9240576\"]\n  39 [size=\"48599040\", alpha=\"0.18\", expect_size=\"24299520\"] \n  39 -> 44 [size =\"24299520\"]\n  39 -> 45 [size =\"24299520\"]\n  39 -> 46 [size =\"24299520\"]\n  39 -> 47 [size =\"24299520\"]\n  39 -> 48 [size =\"24299520\"]\n  39 -> 50 [size =\"24299520\"]\n  40 [size=\"57513984\", alpha=\"0.20\", expect_size=\"28756992\"] \n  40 -> 45 [size =\"28756992\"]\n  40 -> 45 [size =\"28756992\"]\n  40 -> 46 [size =\"28756992\"]\n  40 -> 47 [size =\"28756992\"]\n  40 -> 48 [size =\"28756992\"]\n  40 -> 49 [size =\"28756992\"]\n  41 [size=\"49342464\", alpha=\"0.04\", expect_size=\"24671232\"] \n  41 -> 46 [size =\"24671232\"]\n  41 -> 47 [size =\"24671232\"]\n  41 -> 48 [size =\"24671232\"]\n  41 -> 50 [size =\"24671232\"]\n  42 [size=\"25845760\", alpha=\"0.19\", expect_size=\"12922880\"] \n  42 -> 45 [size =\"12922880\"]\n  42 -> 46 [size =\"12922880\"]\n  42 -> 47 [size =\"12922880\"]\n  42 -> 48 [size =\"12922880\"]\n  42 -> 50 [size =\"12922880\"]\n  43 [size=\"39393280\", alpha=\"0.13\", expect_size=\"19696640\"] \n  43 -> 45 [size =\"19696640\"]\n  43 -> 46 [size =\"19696640\"]\n  43 -> 47 [size =\"19696640\"]\n  43 -> 49 [size =\"19696640\"]\n  44 [size=\"45471744\", alpha=\"0.08\", expect_size=\"22735872\"] \n  45 [size=\"73373696\", alpha=\"0.17\", expect_size=\"36686848\"] \n  46 [size=\"41627648\", alpha=\"0.12\", expect_size=\"20813824\"] \n  47 [size=\"60205056\", alpha=\"0.04\", expect_size=\"30102528\"] \n  48 [size=\"25198592\", alpha=\"0.00\", expect_size=\"12599296\"] \n  49 [size=\"95416320\", alpha=\"0.07\", expect_size=\"47708160\"] \n  50 [size=\"84731904\", alpha=\"0.08\", expect_size=\"42365952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.915.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51030016\", alpha=\"0.18\", expect_size=\"25515008\"] \n  1 -> 2 [size =\"25515008\"]\n  2 [size=\"46145536\", alpha=\"0.05\", expect_size=\"23072768\"] \n  2 -> 3 [size =\"23072768\"]\n  3 [size=\"18716672\", alpha=\"0.11\", expect_size=\"9358336\"] \n  3 -> 4 [size =\"9358336\"]\n  4 [size=\"17733632\", alpha=\"0.03\", expect_size=\"8866816\"] \n  4 -> 5 [size =\"8866816\"]\n  5 [size=\"43382784\", alpha=\"0.11\", expect_size=\"21691392\"] \n  5 -> 6 [size =\"21691392\"]\n  6 [size=\"43102208\", alpha=\"0.05\", expect_size=\"21551104\"] \n  6 -> 7 [size =\"21551104\"]\n  7 [size=\"88616960\", alpha=\"0.02\", expect_size=\"44308480\"] \n  7 -> 8 [size =\"44308480\"]\n  8 [size=\"27619328\", alpha=\"0.05\", expect_size=\"13809664\"] \n  8 -> 9 [size =\"13809664\"]\n  9 [size=\"98062336\", alpha=\"0.18\", expect_size=\"49031168\"] \n  9 -> 10 [size =\"49031168\"]\n  10 [size=\"80611328\", alpha=\"0.11\", expect_size=\"40305664\"] \n  10 -> 11 [size =\"40305664\"]\n  11 [size=\"54286336\", alpha=\"0.03\", expect_size=\"27143168\"] \n  11 -> 12 [size =\"27143168\"]\n  12 [size=\"45789184\", alpha=\"0.15\", expect_size=\"22894592\"] \n  12 -> 13 [size =\"22894592\"]\n  13 [size=\"69662720\", alpha=\"0.18\", expect_size=\"34831360\"] \n  13 -> 14 [size =\"34831360\"]\n  14 [size=\"25065472\", alpha=\"0.07\", expect_size=\"12532736\"] \n  14 -> 15 [size =\"12532736\"]\n  15 [size=\"39409664\", alpha=\"0.18\", expect_size=\"19704832\"] \n  15 -> 16 [size =\"19704832\"]\n  16 [size=\"90771456\", alpha=\"0.07\", expect_size=\"45385728\"] \n  16 -> 17 [size =\"45385728\"]\n  17 [size=\"20217856\", alpha=\"0.06\", expect_size=\"10108928\"] \n  17 -> 18 [size =\"10108928\"]\n  18 [size=\"28139520\", alpha=\"0.15\", expect_size=\"14069760\"] \n  18 -> 19 [size =\"14069760\"]\n  19 [size=\"49397760\", alpha=\"0.16\", expect_size=\"24698880\"] \n  19 -> 20 [size =\"24698880\"]\n  20 [size=\"39026688\", alpha=\"0.03\", expect_size=\"19513344\"] \n  20 -> 21 [size =\"19513344\"]\n  21 [size=\"90068992\", alpha=\"0.18\", expect_size=\"45034496\"] \n  21 -> 22 [size =\"45034496\"]\n  22 [size=\"102414336\", alpha=\"0.01\", expect_size=\"51207168\"] \n  22 -> 23 [size =\"51207168\"]\n  23 [size=\"77027328\", alpha=\"0.06\", expect_size=\"38513664\"] \n  23 -> 24 [size =\"38513664\"]\n  24 [size=\"68175872\", alpha=\"0.12\", expect_size=\"34087936\"] \n  24 -> 25 [size =\"34087936\"]\n  25 [size=\"99942400\", alpha=\"0.05\", expect_size=\"49971200\"] \n  25 -> 26 [size =\"49971200\"]\n  26 [size=\"90587136\", alpha=\"0.05\", expect_size=\"45293568\"] \n  26 -> 27 [size =\"45293568\"]\n  27 [size=\"30312448\", alpha=\"0.02\", expect_size=\"15156224\"] \n  27 -> 28 [size =\"15156224\"]\n  28 [size=\"57530368\", alpha=\"0.02\", expect_size=\"28765184\"] \n  28 -> 29 [size =\"28765184\"]\n  29 [size=\"33370112\", alpha=\"0.01\", expect_size=\"16685056\"] \n  29 -> 30 [size =\"16685056\"]\n  30 [size=\"15708160\", alpha=\"0.15\", expect_size=\"7854080\"] \n  30 -> 31 [size =\"7854080\"]\n  31 [size=\"29847552\", alpha=\"0.18\", expect_size=\"14923776\"] \n  31 -> 32 [size =\"14923776\"]\n  32 [size=\"21962752\", alpha=\"0.08\", expect_size=\"10981376\"] \n  32 -> 33 [size =\"10981376\"]\n  33 [size=\"27717632\", alpha=\"0.11\", expect_size=\"13858816\"] \n  33 -> 34 [size =\"13858816\"]\n  34 [size=\"55341056\", alpha=\"0.17\", expect_size=\"27670528\"] \n  34 -> 35 [size =\"27670528\"]\n  35 [size=\"17713152\", alpha=\"0.09\", expect_size=\"8856576\"] \n  35 -> 36 [size =\"8856576\"]\n  36 [size=\"42100736\", alpha=\"0.18\", expect_size=\"21050368\"] \n  36 -> 37 [size =\"21050368\"]\n  37 [size=\"66750464\", alpha=\"0.10\", expect_size=\"33375232\"] \n  37 -> 38 [size =\"33375232\"]\n  38 [size=\"75421696\", alpha=\"0.05\", expect_size=\"37710848\"] \n  38 -> 39 [size =\"37710848\"]\n  39 [size=\"85250048\", alpha=\"0.08\", expect_size=\"42625024\"] \n  39 -> 40 [size =\"42625024\"]\n  40 [size=\"89440256\", alpha=\"0.17\", expect_size=\"44720128\"] \n  40 -> 41 [size =\"44720128\"]\n  41 [size=\"63748096\", alpha=\"0.03\", expect_size=\"31874048\"] \n  41 -> 42 [size =\"31874048\"]\n  42 [size=\"51978240\", alpha=\"0.09\", expect_size=\"25989120\"] \n  42 -> 43 [size =\"25989120\"]\n  43 [size=\"89432064\", alpha=\"0.09\", expect_size=\"44716032\"] \n  43 -> 44 [size =\"44716032\"]\n  44 [size=\"46542848\", alpha=\"0.01\", expect_size=\"23271424\"] \n  44 -> 45 [size =\"23271424\"]\n  45 [size=\"32264192\", alpha=\"0.12\", expect_size=\"16132096\"] \n  45 -> 46 [size =\"16132096\"]\n  46 [size=\"75522048\", alpha=\"0.20\", expect_size=\"37761024\"] \n  46 -> 47 [size =\"37761024\"]\n  47 [size=\"67856384\", alpha=\"0.12\", expect_size=\"33928192\"] \n  47 -> 48 [size =\"33928192\"]\n  48 [size=\"19001344\", alpha=\"0.14\", expect_size=\"9500672\"] \n  48 -> 49 [size =\"9500672\"]\n  49 [size=\"40982528\", alpha=\"0.01\", expect_size=\"20491264\"] \n  49 -> 50 [size =\"20491264\"]\n  50 [size=\"78344192\", alpha=\"0.09\", expect_size=\"39172096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.916.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"116432213\", alpha=\"0.04\", expect_size=\"34929664\"] \n  1 -> 16 [size =\"34929664\"]\n  1 -> 17 [size =\"34929664\"]\n  1 -> 24 [size =\"34929664\"]\n  1 -> 25 [size =\"34929664\"]\n  1 -> 26 [size =\"34929664\"]\n  2 [size=\"121125547\", alpha=\"0.01\", expect_size=\"36337664\"] \n  2 -> 16 [size =\"36337664\"]\n  2 -> 19 [size =\"36337664\"]\n  2 -> 21 [size =\"36337664\"]\n  2 -> 26 [size =\"36337664\"]\n  3 [size=\"29870080\", alpha=\"0.14\", expect_size=\"8961024\"] \n  3 -> 15 [size =\"8961024\"]\n  3 -> 17 [size =\"8961024\"]\n  3 -> 21 [size =\"8961024\"]\n  3 -> 24 [size =\"8961024\"]\n  4 [size=\"46697813\", alpha=\"0.20\", expect_size=\"14009344\"] \n  4 -> 16 [size =\"14009344\"]\n  4 -> 19 [size =\"14009344\"]\n  4 -> 21 [size =\"14009344\"]\n  4 -> 23 [size =\"14009344\"]\n  4 -> 25 [size =\"14009344\"]\n  5 [size=\"19841707\", alpha=\"0.16\", expect_size=\"5952512\"] \n  5 -> 23 [size =\"5952512\"]\n  5 -> 26 [size =\"5952512\"]\n  6 [size=\"171816960\", alpha=\"0.06\", expect_size=\"51545088\"] \n  6 -> 18 [size =\"51545088\"]\n  6 -> 20 [size =\"51545088\"]\n  6 -> 26 [size =\"51545088\"]\n  7 [size=\"151026347\", alpha=\"0.06\", expect_size=\"45307904\"] \n  7 -> 18 [size =\"45307904\"]\n  7 -> 19 [size =\"45307904\"]\n  7 -> 20 [size =\"45307904\"]\n  7 -> 21 [size =\"45307904\"]\n  7 -> 24 [size =\"45307904\"]\n  8 [size=\"42967040\", alpha=\"0.03\", expect_size=\"12890112\"] \n  8 -> 16 [size =\"12890112\"]\n  8 -> 19 [size =\"12890112\"]\n  8 -> 21 [size =\"12890112\"]\n  8 -> 21 [size =\"12890112\"]\n  8 -> 23 [size =\"12890112\"]\n  8 -> 24 [size =\"12890112\"]\n  9 [size=\"43806720\", alpha=\"0.17\", expect_size=\"13142016\"] \n  9 -> 16 [size =\"13142016\"]\n  9 -> 17 [size =\"13142016\"]\n  9 -> 26 [size =\"13142016\"]\n  10 [size=\"122030080\", alpha=\"0.14\", expect_size=\"36609024\"] \n  11 [size=\"21923840\", alpha=\"0.20\", expect_size=\"6577152\"] \n  11 -> 16 [size =\"6577152\"]\n  11 -> 17 [size =\"6577152\"]\n  11 -> 19 [size =\"6577152\"]\n  11 -> 24 [size =\"6577152\"]\n  12 [size=\"54169600\", alpha=\"0.04\", expect_size=\"16250880\"] \n  12 -> 17 [size =\"16250880\"]\n  12 -> 24 [size =\"16250880\"]\n  13 [size=\"60156587\", alpha=\"0.17\", expect_size=\"18046976\"] \n  13 -> 17 [size =\"18046976\"]\n  13 -> 21 [size =\"18046976\"]\n  13 -> 22 [size =\"18046976\"]\n  13 -> 24 [size =\"18046976\"]\n  13 -> 26 [size =\"18046976\"]\n  14 [size=\"169058987\", alpha=\"0.17\", expect_size=\"50717696\"] \n  14 -> 16 [size =\"50717696\"]\n  14 -> 17 [size =\"50717696\"]\n  14 -> 18 [size =\"50717696\"]\n  14 -> 21 [size =\"50717696\"]\n  14 -> 24 [size =\"50717696\"]\n  14 -> 26 [size =\"50717696\"]\n  15 [size=\"166604800\", alpha=\"0.07\", expect_size=\"49981440\"] \n  15 -> 27 [size =\"49981440\"]\n  15 -> 30 [size =\"49981440\"]\n  15 -> 32 [size =\"49981440\"]\n  15 -> 34 [size =\"49981440\"]\n  15 -> 35 [size =\"49981440\"]\n  15 -> 36 [size =\"49981440\"]\n  15 -> 41 [size =\"49981440\"]\n  15 -> 44 [size =\"49981440\"]\n  16 [size=\"133335040\", alpha=\"0.19\", expect_size=\"40000512\"] \n  16 -> 28 [size =\"40000512\"]\n  16 -> 30 [size =\"40000512\"]\n  16 -> 36 [size =\"40000512\"]\n  16 -> 37 [size =\"40000512\"]\n  16 -> 38 [size =\"40000512\"]\n  16 -> 39 [size =\"40000512\"]\n  17 [size=\"22121813\", alpha=\"0.14\", expect_size=\"6636544\"] \n  17 -> 29 [size =\"6636544\"]\n  17 -> 31 [size =\"6636544\"]\n  17 -> 32 [size =\"6636544\"]\n  17 -> 33 [size =\"6636544\"]\n  17 -> 36 [size =\"6636544\"]\n  17 -> 37 [size =\"6636544\"]\n  17 -> 40 [size =\"6636544\"]\n  17 -> 41 [size =\"6636544\"]\n  17 -> 43 [size =\"6636544\"]\n  18 [size=\"68870827\", alpha=\"0.14\", expect_size=\"20661248\"] \n  18 -> 30 [size =\"20661248\"]\n  18 -> 44 [size =\"20661248\"]\n  19 [size=\"94006613\", alpha=\"0.11\", expect_size=\"28201984\"] \n  19 -> 33 [size =\"28201984\"]\n  19 -> 35 [size =\"28201984\"]\n  19 -> 37 [size =\"28201984\"]\n  19 -> 38 [size =\"28201984\"]\n  19 -> 39 [size =\"28201984\"]\n  19 -> 40 [size =\"28201984\"]\n  19 -> 44 [size =\"28201984\"]\n  20 [size=\"70444373\", alpha=\"0.13\", expect_size=\"21133312\"] \n  20 -> 28 [size =\"21133312\"]\n  20 -> 29 [size =\"21133312\"]\n  20 -> 31 [size =\"21133312\"]\n  20 -> 35 [size =\"21133312\"]\n  20 -> 40 [size =\"21133312\"]\n  20 -> 44 [size =\"21133312\"]\n  21 [size=\"26763947\", alpha=\"0.07\", expect_size=\"8029184\"] \n  21 -> 27 [size =\"8029184\"]\n  21 -> 29 [size =\"8029184\"]\n  21 -> 31 [size =\"8029184\"]\n  21 -> 33 [size =\"8029184\"]\n  21 -> 38 [size =\"8029184\"]\n  21 -> 40 [size =\"8029184\"]\n  21 -> 44 [size =\"8029184\"]\n  22 [size=\"23435947\", alpha=\"0.15\", expect_size=\"7030784\"] \n  22 -> 28 [size =\"7030784\"]\n  22 -> 29 [size =\"7030784\"]\n  22 -> 31 [size =\"7030784\"]\n  22 -> 32 [size =\"7030784\"]\n  22 -> 33 [size =\"7030784\"]\n  22 -> 35 [size =\"7030784\"]\n  22 -> 36 [size =\"7030784\"]\n  22 -> 37 [size =\"7030784\"]\n  22 -> 39 [size =\"7030784\"]\n  22 -> 41 [size =\"7030784\"]\n  22 -> 44 [size =\"7030784\"]\n  23 [size=\"56787627\", alpha=\"0.04\", expect_size=\"17036288\"] \n  23 -> 28 [size =\"17036288\"]\n  23 -> 29 [size =\"17036288\"]\n  23 -> 36 [size =\"17036288\"]\n  23 -> 37 [size =\"17036288\"]\n  24 [size=\"32303787\", alpha=\"0.16\", expect_size=\"9691136\"] \n  24 -> 29 [size =\"9691136\"]\n  24 -> 36 [size =\"9691136\"]\n  24 -> 37 [size =\"9691136\"]\n  24 -> 42 [size =\"9691136\"]\n  24 -> 43 [size =\"9691136\"]\n  25 [size=\"165935787\", alpha=\"0.09\", expect_size=\"49780736\"] \n  25 -> 28 [size =\"49780736\"]\n  25 -> 34 [size =\"49780736\"]\n  25 -> 36 [size =\"49780736\"]\n  25 -> 37 [size =\"49780736\"]\n  25 -> 43 [size =\"49780736\"]\n  26 [size=\"65638400\", alpha=\"0.02\", expect_size=\"19691520\"] \n  26 -> 27 [size =\"19691520\"]\n  26 -> 28 [size =\"19691520\"]\n  26 -> 29 [size =\"19691520\"]\n  26 -> 31 [size =\"19691520\"]\n  26 -> 32 [size =\"19691520\"]\n  26 -> 33 [size =\"19691520\"]\n  26 -> 34 [size =\"19691520\"]\n  26 -> 35 [size =\"19691520\"]\n  26 -> 38 [size =\"19691520\"]\n  26 -> 41 [size =\"19691520\"]\n  26 -> 43 [size =\"19691520\"]\n  26 -> 44 [size =\"19691520\"]\n  27 [size=\"56872960\", alpha=\"0.12\", expect_size=\"17061888\"] \n  27 -> 45 [size =\"17061888\"]\n  27 -> 48 [size =\"17061888\"]\n  28 [size=\"166065493\", alpha=\"0.05\", expect_size=\"49819648\"] \n  28 -> 46 [size =\"49819648\"]\n  28 -> 47 [size =\"49819648\"]\n  29 [size=\"116657493\", alpha=\"0.01\", expect_size=\"34997248\"] \n  30 [size=\"48244053\", alpha=\"0.10\", expect_size=\"14473216\"] \n  31 [size=\"150190080\", alpha=\"0.00\", expect_size=\"45057024\"] \n  31 -> 45 [size =\"45057024\"]\n  31 -> 46 [size =\"45057024\"]\n  31 -> 47 [size =\"45057024\"]\n  32 [size=\"49592320\", alpha=\"0.15\", expect_size=\"14877696\"] \n  32 -> 46 [size =\"14877696\"]\n  33 [size=\"164676267\", alpha=\"0.15\", expect_size=\"49402880\"] \n  33 -> 46 [size =\"49402880\"]\n  34 [size=\"35976533\", alpha=\"0.15\", expect_size=\"10792960\"] \n  34 -> 46 [size =\"10792960\"]\n  35 [size=\"164580693\", alpha=\"0.13\", expect_size=\"49374208\"] \n  35 -> 46 [size =\"49374208\"]\n  36 [size=\"80991573\", alpha=\"0.06\", expect_size=\"24297472\"] \n  36 -> 46 [size =\"24297472\"]\n  36 -> 50 [size =\"24297472\"]\n  37 [size=\"96843093\", alpha=\"0.20\", expect_size=\"29052928\"] \n  37 -> 50 [size =\"29052928\"]\n  38 [size=\"31109120\", alpha=\"0.00\", expect_size=\"9332736\"] \n  38 -> 49 [size =\"9332736\"]\n  38 -> 50 [size =\"9332736\"]\n  39 [size=\"66573653\", alpha=\"0.10\", expect_size=\"19972096\"] \n  39 -> 49 [size =\"19972096\"]\n  40 [size=\"72280747\", alpha=\"0.07\", expect_size=\"21684224\"] \n  40 -> 46 [size =\"21684224\"]\n  41 [size=\"152784213\", alpha=\"0.05\", expect_size=\"45835264\"] \n  41 -> 47 [size =\"45835264\"]\n  42 [size=\"155252053\", alpha=\"0.04\", expect_size=\"46575616\"] \n  42 -> 45 [size =\"46575616\"]\n  42 -> 50 [size =\"46575616\"]\n  43 [size=\"116374187\", alpha=\"0.07\", expect_size=\"34912256\"] \n  43 -> 50 [size =\"34912256\"]\n  44 [size=\"78834347\", alpha=\"0.13\", expect_size=\"23650304\"] \n  45 [size=\"36932267\", alpha=\"0.17\", expect_size=\"11079680\"] \n  46 [size=\"139796480\", alpha=\"0.08\", expect_size=\"41938944\"] \n  47 [size=\"31423147\", alpha=\"0.03\", expect_size=\"9426944\"] \n  48 [size=\"31037440\", alpha=\"0.18\", expect_size=\"9311232\"] \n  49 [size=\"32744107\", alpha=\"0.05\", expect_size=\"9823232\"] \n  50 [size=\"113080320\", alpha=\"0.16\", expect_size=\"33924096\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.917.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40099840\", alpha=\"0.05\", expect_size=\"16039936\"] \n  1 -> 4 [size =\"16039936\"]\n  2 [size=\"130434560\", alpha=\"0.03\", expect_size=\"52173824\"] \n  2 -> 5 [size =\"52173824\"]\n  3 [size=\"120916480\", alpha=\"0.07\", expect_size=\"48366592\"] \n  3 -> 4 [size =\"48366592\"]\n  4 [size=\"14297600\", alpha=\"0.02\", expect_size=\"5719040\"] \n  5 [size=\"17932800\", alpha=\"0.12\", expect_size=\"7173120\"] \n  5 -> 6 [size =\"7173120\"]\n  5 -> 7 [size =\"7173120\"]\n  6 [size=\"17725440\", alpha=\"0.00\", expect_size=\"7090176\"] \n  6 -> 9 [size =\"7090176\"]\n  7 [size=\"47278080\", alpha=\"0.15\", expect_size=\"18911232\"] \n  7 -> 8 [size =\"18911232\"]\n  7 -> 10 [size =\"18911232\"]\n  8 [size=\"118033920\", alpha=\"0.05\", expect_size=\"47213568\"] \n  8 -> 11 [size =\"47213568\"]\n  8 -> 13 [size =\"47213568\"]\n  9 [size=\"34531840\", alpha=\"0.13\", expect_size=\"13812736\"] \n  10 [size=\"20618240\", alpha=\"0.06\", expect_size=\"8247296\"] \n  10 -> 11 [size =\"8247296\"]\n  10 -> 12 [size =\"8247296\"]\n  11 [size=\"116172800\", alpha=\"0.15\", expect_size=\"46469120\"] \n  11 -> 14 [size =\"46469120\"]\n  11 -> 16 [size =\"46469120\"]\n  12 [size=\"29043200\", alpha=\"0.00\", expect_size=\"11617280\"] \n  12 -> 15 [size =\"11617280\"]\n  12 -> 16 [size =\"11617280\"]\n  13 [size=\"44295680\", alpha=\"0.11\", expect_size=\"17718272\"] \n  13 -> 15 [size =\"17718272\"]\n  14 [size=\"87173120\", alpha=\"0.03\", expect_size=\"34869248\"] \n  14 -> 17 [size =\"34869248\"]\n  14 -> 18 [size =\"34869248\"]\n  15 [size=\"96657920\", alpha=\"0.05\", expect_size=\"38663168\"] \n  15 -> 18 [size =\"38663168\"]\n  16 [size=\"48007680\", alpha=\"0.00\", expect_size=\"19203072\"] \n  17 [size=\"50219520\", alpha=\"0.13\", expect_size=\"20087808\"] \n  17 -> 20 [size =\"20087808\"]\n  18 [size=\"18488320\", alpha=\"0.04\", expect_size=\"7395328\"] \n  18 -> 19 [size =\"7395328\"]\n  19 [size=\"45821440\", alpha=\"0.05\", expect_size=\"18328576\"] \n  19 -> 21 [size =\"18328576\"]\n  20 [size=\"121561600\", alpha=\"0.08\", expect_size=\"48624640\"] \n  20 -> 22 [size =\"48624640\"]\n  20 -> 23 [size =\"48624640\"]\n  21 [size=\"41904640\", alpha=\"0.15\", expect_size=\"16761856\"] \n  22 [size=\"128629760\", alpha=\"0.01\", expect_size=\"51451904\"] \n  22 -> 24 [size =\"51451904\"]\n  22 -> 26 [size =\"51451904\"]\n  23 [size=\"128860160\", alpha=\"0.06\", expect_size=\"51544064\"] \n  23 -> 25 [size =\"51544064\"]\n  24 [size=\"77486080\", alpha=\"0.11\", expect_size=\"30994432\"] \n  24 -> 29 [size =\"30994432\"]\n  25 [size=\"96353280\", alpha=\"0.17\", expect_size=\"38541312\"] \n  25 -> 28 [size =\"38541312\"]\n  26 [size=\"123993600\", alpha=\"0.04\", expect_size=\"49597440\"] \n  26 -> 27 [size =\"49597440\"]\n  26 -> 28 [size =\"49597440\"]\n  27 [size=\"124986880\", alpha=\"0.17\", expect_size=\"49994752\"] \n  27 -> 31 [size =\"49994752\"]\n  28 [size=\"81149440\", alpha=\"0.07\", expect_size=\"32459776\"] \n  28 -> 31 [size =\"32459776\"]\n  28 -> 32 [size =\"32459776\"]\n  29 [size=\"105477120\", alpha=\"0.01\", expect_size=\"42190848\"] \n  29 -> 30 [size =\"42190848\"]\n  30 [size=\"19878400\", alpha=\"0.16\", expect_size=\"7951360\"] \n  30 -> 35 [size =\"7951360\"]\n  31 [size=\"65384960\", alpha=\"0.09\", expect_size=\"26153984\"] \n  31 -> 34 [size =\"26153984\"]\n  32 [size=\"33062400\", alpha=\"0.05\", expect_size=\"13224960\"] \n  32 -> 33 [size =\"13224960\"]\n  32 -> 35 [size =\"13224960\"]\n  33 [size=\"40235520\", alpha=\"0.05\", expect_size=\"16094208\"] \n  33 -> 37 [size =\"16094208\"]\n  34 [size=\"76753920\", alpha=\"0.19\", expect_size=\"30701568\"] \n  34 -> 36 [size =\"30701568\"]\n  35 [size=\"25843200\", alpha=\"0.06\", expect_size=\"10337280\"] \n  36 [size=\"128258560\", alpha=\"0.19\", expect_size=\"51303424\"] \n  36 -> 38 [size =\"51303424\"]\n  37 [size=\"34728960\", alpha=\"0.19\", expect_size=\"13891584\"] \n  37 -> 39 [size =\"13891584\"]\n  38 [size=\"15352320\", alpha=\"0.20\", expect_size=\"6140928\"] \n  39 [size=\"57093120\", alpha=\"0.06\", expect_size=\"22837248\"] \n  39 -> 40 [size =\"22837248\"]\n  39 -> 41 [size =\"22837248\"]\n  40 [size=\"63413760\", alpha=\"0.10\", expect_size=\"25365504\"] \n  40 -> 43 [size =\"25365504\"]\n  40 -> 44 [size =\"25365504\"]\n  41 [size=\"41825280\", alpha=\"0.20\", expect_size=\"16730112\"] \n  41 -> 42 [size =\"16730112\"]\n  42 [size=\"95400960\", alpha=\"0.09\", expect_size=\"38160384\"] \n  42 -> 46 [size =\"38160384\"]\n  43 [size=\"122104320\", alpha=\"0.17\", expect_size=\"48841728\"] \n  43 -> 45 [size =\"48841728\"]\n  44 [size=\"35166720\", alpha=\"0.17\", expect_size=\"14066688\"] \n  44 -> 45 [size =\"14066688\"]\n  44 -> 46 [size =\"14066688\"]\n  45 [size=\"26616320\", alpha=\"0.10\", expect_size=\"10646528\"] \n  46 [size=\"62041600\", alpha=\"0.03\", expect_size=\"24816640\"] \n  46 -> 47 [size =\"24816640\"]\n  46 -> 48 [size =\"24816640\"]\n  46 -> 49 [size =\"24816640\"]\n  47 [size=\"58378240\", alpha=\"0.14\", expect_size=\"23351296\"] \n  47 -> 50 [size =\"23351296\"]\n  48 [size=\"52738560\", alpha=\"0.17\", expect_size=\"21095424\"] \n  49 [size=\"50506240\", alpha=\"0.16\", expect_size=\"20202496\"] \n  50 [size=\"84395520\", alpha=\"0.16\", expect_size=\"33758208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.918.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86300160\", alpha=\"0.08\", expect_size=\"34520064\"] \n  1 -> 2 [size =\"34520064\"]\n  2 [size=\"106588160\", alpha=\"0.03\", expect_size=\"42635264\"] \n  2 -> 3 [size =\"42635264\"]\n  3 [size=\"117639680\", alpha=\"0.12\", expect_size=\"47055872\"] \n  3 -> 4 [size =\"47055872\"]\n  4 [size=\"124149760\", alpha=\"0.08\", expect_size=\"49659904\"] \n  4 -> 5 [size =\"49659904\"]\n  5 [size=\"122949120\", alpha=\"0.17\", expect_size=\"49179648\"] \n  5 -> 6 [size =\"49179648\"]\n  6 [size=\"80271360\", alpha=\"0.18\", expect_size=\"32108544\"] \n  6 -> 7 [size =\"32108544\"]\n  7 [size=\"55802880\", alpha=\"0.08\", expect_size=\"22321152\"] \n  7 -> 8 [size =\"22321152\"]\n  8 [size=\"76500480\", alpha=\"0.14\", expect_size=\"30600192\"] \n  8 -> 9 [size =\"30600192\"]\n  9 [size=\"74165760\", alpha=\"0.10\", expect_size=\"29666304\"] \n  9 -> 10 [size =\"29666304\"]\n  10 [size=\"51921920\", alpha=\"0.17\", expect_size=\"20768768\"] \n  10 -> 11 [size =\"20768768\"]\n  11 [size=\"97044480\", alpha=\"0.11\", expect_size=\"38817792\"] \n  11 -> 12 [size =\"38817792\"]\n  12 [size=\"26695680\", alpha=\"0.01\", expect_size=\"10678272\"] \n  12 -> 13 [size =\"10678272\"]\n  13 [size=\"42298880\", alpha=\"0.17\", expect_size=\"16919552\"] \n  13 -> 14 [size =\"16919552\"]\n  14 [size=\"111777280\", alpha=\"0.06\", expect_size=\"44710912\"] \n  14 -> 15 [size =\"44710912\"]\n  15 [size=\"43379200\", alpha=\"0.05\", expect_size=\"17351680\"] \n  15 -> 16 [size =\"17351680\"]\n  16 [size=\"24061440\", alpha=\"0.11\", expect_size=\"9624576\"] \n  16 -> 17 [size =\"9624576\"]\n  17 [size=\"129587200\", alpha=\"0.12\", expect_size=\"51834880\"] \n  17 -> 18 [size =\"51834880\"]\n  18 [size=\"60090880\", alpha=\"0.19\", expect_size=\"24036352\"] \n  18 -> 19 [size =\"24036352\"]\n  19 [size=\"25914880\", alpha=\"0.11\", expect_size=\"10365952\"] \n  19 -> 20 [size =\"10365952\"]\n  20 [size=\"83148800\", alpha=\"0.13\", expect_size=\"33259520\"] \n  20 -> 21 [size =\"33259520\"]\n  21 [size=\"63595520\", alpha=\"0.07\", expect_size=\"25438208\"] \n  21 -> 22 [size =\"25438208\"]\n  22 [size=\"129666560\", alpha=\"0.17\", expect_size=\"51866624\"] \n  22 -> 23 [size =\"51866624\"]\n  23 [size=\"14855680\", alpha=\"0.05\", expect_size=\"5942272\"] \n  23 -> 24 [size =\"5942272\"]\n  24 [size=\"112993280\", alpha=\"0.12\", expect_size=\"45197312\"] \n  24 -> 25 [size =\"45197312\"]\n  25 [size=\"28200960\", alpha=\"0.17\", expect_size=\"11280384\"] \n  25 -> 26 [size =\"11280384\"]\n  26 [size=\"55695360\", alpha=\"0.13\", expect_size=\"22278144\"] \n  26 -> 27 [size =\"22278144\"]\n  27 [size=\"121244160\", alpha=\"0.17\", expect_size=\"48497664\"] \n  27 -> 28 [size =\"48497664\"]\n  28 [size=\"73085440\", alpha=\"0.12\", expect_size=\"29234176\"] \n  28 -> 29 [size =\"29234176\"]\n  29 [size=\"68682240\", alpha=\"0.16\", expect_size=\"27472896\"] \n  29 -> 30 [size =\"27472896\"]\n  30 [size=\"17625600\", alpha=\"0.08\", expect_size=\"7050240\"] \n  30 -> 31 [size =\"7050240\"]\n  31 [size=\"94796800\", alpha=\"0.14\", expect_size=\"37918720\"] \n  31 -> 32 [size =\"37918720\"]\n  32 [size=\"19494400\", alpha=\"0.02\", expect_size=\"7797760\"] \n  32 -> 33 [size =\"7797760\"]\n  33 [size=\"121134080\", alpha=\"0.15\", expect_size=\"48453632\"] \n  33 -> 34 [size =\"48453632\"]\n  34 [size=\"32386560\", alpha=\"0.04\", expect_size=\"12954624\"] \n  34 -> 35 [size =\"12954624\"]\n  35 [size=\"100226560\", alpha=\"0.19\", expect_size=\"40090624\"] \n  35 -> 36 [size =\"40090624\"]\n  36 [size=\"80604160\", alpha=\"0.16\", expect_size=\"32241664\"] \n  36 -> 37 [size =\"32241664\"]\n  37 [size=\"40686080\", alpha=\"0.12\", expect_size=\"16274432\"] \n  37 -> 38 [size =\"16274432\"]\n  38 [size=\"23165440\", alpha=\"0.17\", expect_size=\"9266176\"] \n  38 -> 39 [size =\"9266176\"]\n  39 [size=\"91443200\", alpha=\"0.03\", expect_size=\"36577280\"] \n  39 -> 40 [size =\"36577280\"]\n  40 [size=\"70643200\", alpha=\"0.02\", expect_size=\"28257280\"] \n  40 -> 41 [size =\"28257280\"]\n  41 [size=\"117552640\", alpha=\"0.09\", expect_size=\"47021056\"] \n  41 -> 42 [size =\"47021056\"]\n  42 [size=\"80174080\", alpha=\"0.15\", expect_size=\"32069632\"] \n  42 -> 43 [size =\"32069632\"]\n  43 [size=\"90065920\", alpha=\"0.03\", expect_size=\"36026368\"] \n  43 -> 44 [size =\"36026368\"]\n  44 [size=\"58452480\", alpha=\"0.07\", expect_size=\"23380992\"] \n  44 -> 45 [size =\"23380992\"]\n  45 [size=\"84008960\", alpha=\"0.13\", expect_size=\"33603584\"] \n  45 -> 46 [size =\"33603584\"]\n  46 [size=\"79037440\", alpha=\"0.07\", expect_size=\"31614976\"] \n  46 -> 47 [size =\"31614976\"]\n  47 [size=\"54497280\", alpha=\"0.19\", expect_size=\"21798912\"] \n  47 -> 48 [size =\"21798912\"]\n  48 [size=\"126868480\", alpha=\"0.01\", expect_size=\"50747392\"] \n  48 -> 49 [size =\"50747392\"]\n  49 [size=\"107205120\", alpha=\"0.13\", expect_size=\"42882048\"] \n  49 -> 50 [size =\"42882048\"]\n  50 [size=\"126284800\", alpha=\"0.05\", expect_size=\"50513920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.919.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69867520\", alpha=\"0.20\", expect_size=\"34933760\"] \n  2 [size=\"28221440\", alpha=\"0.05\", expect_size=\"14110720\"] \n  2 -> 4 [size =\"14110720\"]\n  2 -> 6 [size =\"14110720\"]\n  3 [size=\"43380736\", alpha=\"0.06\", expect_size=\"21690368\"] \n  3 -> 4 [size =\"21690368\"]\n  3 -> 5 [size =\"21690368\"]\n  4 [size=\"16631808\", alpha=\"0.19\", expect_size=\"8315904\"] \n  4 -> 7 [size =\"8315904\"]\n  4 -> 8 [size =\"8315904\"]\n  5 [size=\"81881088\", alpha=\"0.14\", expect_size=\"40940544\"] \n  5 -> 8 [size =\"40940544\"]\n  6 [size=\"42772480\", alpha=\"0.03\", expect_size=\"21386240\"] \n  6 -> 7 [size =\"21386240\"]\n  6 -> 9 [size =\"21386240\"]\n  7 [size=\"49487872\", alpha=\"0.06\", expect_size=\"24743936\"] \n  7 -> 10 [size =\"24743936\"]\n  7 -> 11 [size =\"24743936\"]\n  8 [size=\"59838464\", alpha=\"0.16\", expect_size=\"29919232\"] \n  8 -> 11 [size =\"29919232\"]\n  8 -> 12 [size =\"29919232\"]\n  9 [size=\"103452672\", alpha=\"0.18\", expect_size=\"51726336\"] \n  9 -> 10 [size =\"51726336\"]\n  10 [size=\"19179520\", alpha=\"0.07\", expect_size=\"9589760\"] \n  10 -> 14 [size =\"9589760\"]\n  10 -> 15 [size =\"9589760\"]\n  11 [size=\"68874240\", alpha=\"0.19\", expect_size=\"34437120\"] \n  11 -> 15 [size =\"34437120\"]\n  12 [size=\"67858432\", alpha=\"0.20\", expect_size=\"33929216\"] \n  12 -> 13 [size =\"33929216\"]\n  13 [size=\"92891136\", alpha=\"0.15\", expect_size=\"46445568\"] \n  13 -> 17 [size =\"46445568\"]\n  13 -> 18 [size =\"46445568\"]\n  14 [size=\"24961024\", alpha=\"0.02\", expect_size=\"12480512\"] \n  14 -> 16 [size =\"12480512\"]\n  15 [size=\"21755904\", alpha=\"0.06\", expect_size=\"10877952\"] \n  15 -> 17 [size =\"10877952\"]\n  16 [size=\"88150016\", alpha=\"0.07\", expect_size=\"44075008\"] \n  16 -> 19 [size =\"44075008\"]\n  16 -> 21 [size =\"44075008\"]\n  17 [size=\"101138432\", alpha=\"0.09\", expect_size=\"50569216\"] \n  18 [size=\"33112064\", alpha=\"0.13\", expect_size=\"16556032\"] \n  18 -> 19 [size =\"16556032\"]\n  18 -> 20 [size =\"16556032\"]\n  19 [size=\"12599296\", alpha=\"0.03\", expect_size=\"6299648\"] \n  19 -> 22 [size =\"6299648\"]\n  20 [size=\"97138688\", alpha=\"0.11\", expect_size=\"48569344\"] \n  21 [size=\"36577280\", alpha=\"0.12\", expect_size=\"18288640\"] \n  21 -> 22 [size =\"18288640\"]\n  21 -> 23 [size =\"18288640\"]\n  22 [size=\"30574592\", alpha=\"0.17\", expect_size=\"15287296\"] \n  22 -> 25 [size =\"15287296\"]\n  23 [size=\"29519872\", alpha=\"0.08\", expect_size=\"14759936\"] \n  23 -> 24 [size =\"14759936\"]\n  24 [size=\"98281472\", alpha=\"0.01\", expect_size=\"49140736\"] \n  24 -> 27 [size =\"49140736\"]\n  25 [size=\"15149056\", alpha=\"0.09\", expect_size=\"7574528\"] \n  25 -> 26 [size =\"7574528\"]\n  26 [size=\"43214848\", alpha=\"0.04\", expect_size=\"21607424\"] \n  27 [size=\"76353536\", alpha=\"0.07\", expect_size=\"38176768\"] \n  27 -> 28 [size =\"38176768\"]\n  27 -> 29 [size =\"38176768\"]\n  28 [size=\"25024512\", alpha=\"0.01\", expect_size=\"12512256\"] \n  29 [size=\"88008704\", alpha=\"0.14\", expect_size=\"44004352\"] \n  29 -> 30 [size =\"44004352\"]\n  29 -> 31 [size =\"44004352\"]\n  30 [size=\"100108288\", alpha=\"0.10\", expect_size=\"50054144\"] \n  31 [size=\"57245696\", alpha=\"0.17\", expect_size=\"28622848\"] \n  31 -> 32 [size =\"28622848\"]\n  31 -> 33 [size =\"28622848\"]\n  32 [size=\"18802688\", alpha=\"0.17\", expect_size=\"9401344\"] \n  33 [size=\"96886784\", alpha=\"0.14\", expect_size=\"48443392\"] \n  33 -> 34 [size =\"48443392\"]\n  33 -> 35 [size =\"48443392\"]\n  33 -> 36 [size =\"48443392\"]\n  34 [size=\"41279488\", alpha=\"0.15\", expect_size=\"20639744\"] \n  35 [size=\"46870528\", alpha=\"0.17\", expect_size=\"23435264\"] \n  35 -> 37 [size =\"23435264\"]\n  36 [size=\"90683392\", alpha=\"0.16\", expect_size=\"45341696\"] \n  36 -> 37 [size =\"45341696\"]\n  36 -> 38 [size =\"45341696\"]\n  37 [size=\"16265216\", alpha=\"0.15\", expect_size=\"8132608\"] \n  37 -> 39 [size =\"8132608\"]\n  38 [size=\"51363840\", alpha=\"0.18\", expect_size=\"25681920\"] \n  38 -> 40 [size =\"25681920\"]\n  39 [size=\"56586240\", alpha=\"0.01\", expect_size=\"28293120\"] \n  39 -> 41 [size =\"28293120\"]\n  40 [size=\"30531584\", alpha=\"0.03\", expect_size=\"15265792\"] \n  40 -> 42 [size =\"15265792\"]\n  41 [size=\"76263424\", alpha=\"0.11\", expect_size=\"38131712\"] \n  42 [size=\"63426560\", alpha=\"0.03\", expect_size=\"31713280\"] \n  42 -> 43 [size =\"31713280\"]\n  42 -> 44 [size =\"31713280\"]\n  43 [size=\"49395712\", alpha=\"0.18\", expect_size=\"24697856\"] \n  44 [size=\"22204416\", alpha=\"0.13\", expect_size=\"11102208\"] \n  44 -> 45 [size =\"11102208\"]\n  44 -> 46 [size =\"11102208\"]\n  44 -> 47 [size =\"11102208\"]\n  45 [size=\"90701824\", alpha=\"0.08\", expect_size=\"45350912\"] \n  45 -> 48 [size =\"45350912\"]\n  45 -> 49 [size =\"45350912\"]\n  46 [size=\"77414400\", alpha=\"0.10\", expect_size=\"38707200\"] \n  47 [size=\"60008448\", alpha=\"0.07\", expect_size=\"30004224\"] \n  47 -> 48 [size =\"30004224\"]\n  48 [size=\"34768896\", alpha=\"0.06\", expect_size=\"17384448\"] \n  49 [size=\"24317952\", alpha=\"0.02\", expect_size=\"12158976\"] \n  49 -> 50 [size =\"12158976\"]\n  50 [size=\"30775296\", alpha=\"0.16\", expect_size=\"15387648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78419968\", alpha=\"0.04\", expect_size=\"39209984\"] \n  1 -> 11 [size =\"39209984\"]\n  2 [size=\"57159680\", alpha=\"0.07\", expect_size=\"28579840\"] \n  2 -> 13 [size =\"28579840\"]\n  2 -> 16 [size =\"28579840\"]\n  3 [size=\"76529664\", alpha=\"0.09\", expect_size=\"38264832\"] \n  3 -> 11 [size =\"38264832\"]\n  4 [size=\"98828288\", alpha=\"0.11\", expect_size=\"49414144\"] \n  5 [size=\"59234304\", alpha=\"0.12\", expect_size=\"29617152\"] \n  5 -> 14 [size =\"29617152\"]\n  6 [size=\"97855488\", alpha=\"0.13\", expect_size=\"48927744\"] \n  6 -> 16 [size =\"48927744\"]\n  6 -> 17 [size =\"48927744\"]\n  7 [size=\"44509184\", alpha=\"0.01\", expect_size=\"22254592\"] \n  7 -> 11 [size =\"22254592\"]\n  7 -> 16 [size =\"22254592\"]\n  8 [size=\"92360704\", alpha=\"0.07\", expect_size=\"46180352\"] \n  8 -> 11 [size =\"46180352\"]\n  8 -> 16 [size =\"46180352\"]\n  9 [size=\"26451968\", alpha=\"0.12\", expect_size=\"13225984\"] \n  9 -> 11 [size =\"13225984\"]\n  9 -> 18 [size =\"13225984\"]\n  10 [size=\"35262464\", alpha=\"0.06\", expect_size=\"17631232\"] \n  10 -> 11 [size =\"17631232\"]\n  10 -> 12 [size =\"17631232\"]\n  10 -> 14 [size =\"17631232\"]\n  10 -> 15 [size =\"17631232\"]\n  11 [size=\"27273216\", alpha=\"0.15\", expect_size=\"13636608\"] \n  11 -> 20 [size =\"13636608\"]\n  12 [size=\"47433728\", alpha=\"0.11\", expect_size=\"23716864\"] \n  12 -> 24 [size =\"23716864\"]\n  13 [size=\"82675712\", alpha=\"0.02\", expect_size=\"41337856\"] \n  13 -> 23 [size =\"41337856\"]\n  13 -> 26 [size =\"41337856\"]\n  14 [size=\"28858368\", alpha=\"0.11\", expect_size=\"14429184\"] \n  14 -> 19 [size =\"14429184\"]\n  14 -> 22 [size =\"14429184\"]\n  14 -> 23 [size =\"14429184\"]\n  14 -> 24 [size =\"14429184\"]\n  14 -> 26 [size =\"14429184\"]\n  15 [size=\"80691200\", alpha=\"0.13\", expect_size=\"40345600\"] \n  15 -> 21 [size =\"40345600\"]\n  15 -> 22 [size =\"40345600\"]\n  15 -> 24 [size =\"40345600\"]\n  16 [size=\"43585536\", alpha=\"0.12\", expect_size=\"21792768\"] \n  16 -> 21 [size =\"21792768\"]\n  16 -> 22 [size =\"21792768\"]\n  16 -> 23 [size =\"21792768\"]\n  17 [size=\"11083776\", alpha=\"0.16\", expect_size=\"5541888\"] \n  17 -> 19 [size =\"5541888\"]\n  17 -> 21 [size =\"5541888\"]\n  17 -> 22 [size =\"5541888\"]\n  17 -> 23 [size =\"5541888\"]\n  17 -> 26 [size =\"5541888\"]\n  18 [size=\"14258176\", alpha=\"0.14\", expect_size=\"7129088\"] \n  18 -> 21 [size =\"7129088\"]\n  18 -> 22 [size =\"7129088\"]\n  18 -> 23 [size =\"7129088\"]\n  18 -> 24 [size =\"7129088\"]\n  18 -> 25 [size =\"7129088\"]\n  19 [size=\"49477632\", alpha=\"0.03\", expect_size=\"24738816\"] \n  19 -> 29 [size =\"24738816\"]\n  19 -> 32 [size =\"24738816\"]\n  19 -> 33 [size =\"24738816\"]\n  19 -> 35 [size =\"24738816\"]\n  19 -> 37 [size =\"24738816\"]\n  19 -> 40 [size =\"24738816\"]\n  19 -> 42 [size =\"24738816\"]\n  19 -> 44 [size =\"24738816\"]\n  20 [size=\"104572928\", alpha=\"0.14\", expect_size=\"52286464\"] \n  20 -> 27 [size =\"52286464\"]\n  20 -> 28 [size =\"52286464\"]\n  20 -> 30 [size =\"52286464\"]\n  20 -> 32 [size =\"52286464\"]\n  20 -> 40 [size =\"52286464\"]\n  20 -> 41 [size =\"52286464\"]\n  21 [size=\"38889472\", alpha=\"0.18\", expect_size=\"19444736\"] \n  21 -> 28 [size =\"19444736\"]\n  21 -> 32 [size =\"19444736\"]\n  21 -> 34 [size =\"19444736\"]\n  21 -> 44 [size =\"19444736\"]\n  22 [size=\"13072384\", alpha=\"0.13\", expect_size=\"6536192\"] \n  22 -> 28 [size =\"6536192\"]\n  22 -> 29 [size =\"6536192\"]\n  22 -> 34 [size =\"6536192\"]\n  22 -> 35 [size =\"6536192\"]\n  22 -> 42 [size =\"6536192\"]\n  22 -> 44 [size =\"6536192\"]\n  23 [size=\"65849344\", alpha=\"0.01\", expect_size=\"32924672\"] \n  23 -> 29 [size =\"32924672\"]\n  23 -> 31 [size =\"32924672\"]\n  23 -> 34 [size =\"32924672\"]\n  23 -> 36 [size =\"32924672\"]\n  23 -> 38 [size =\"32924672\"]\n  24 [size=\"76533760\", alpha=\"0.08\", expect_size=\"38266880\"] \n  24 -> 28 [size =\"38266880\"]\n  24 -> 32 [size =\"38266880\"]\n  24 -> 35 [size =\"38266880\"]\n  24 -> 40 [size =\"38266880\"]\n  24 -> 42 [size =\"38266880\"]\n  25 [size=\"35633152\", alpha=\"0.06\", expect_size=\"17816576\"] \n  25 -> 29 [size =\"17816576\"]\n  25 -> 32 [size =\"17816576\"]\n  25 -> 34 [size =\"17816576\"]\n  25 -> 35 [size =\"17816576\"]\n  25 -> 39 [size =\"17816576\"]\n  25 -> 40 [size =\"17816576\"]\n  25 -> 44 [size =\"17816576\"]\n  26 [size=\"95533056\", alpha=\"0.02\", expect_size=\"47766528\"] \n  26 -> 28 [size =\"47766528\"]\n  26 -> 32 [size =\"47766528\"]\n  26 -> 34 [size =\"47766528\"]\n  26 -> 36 [size =\"47766528\"]\n  26 -> 37 [size =\"47766528\"]\n  26 -> 40 [size =\"47766528\"]\n  26 -> 42 [size =\"47766528\"]\n  26 -> 43 [size =\"47766528\"]\n  27 [size=\"57409536\", alpha=\"0.05\", expect_size=\"28704768\"] \n  27 -> 46 [size =\"28704768\"]\n  27 -> 47 [size =\"28704768\"]\n  27 -> 48 [size =\"28704768\"]\n  27 -> 49 [size =\"28704768\"]\n  28 [size=\"37179392\", alpha=\"0.06\", expect_size=\"18589696\"] \n  28 -> 46 [size =\"18589696\"]\n  28 -> 47 [size =\"18589696\"]\n  28 -> 48 [size =\"18589696\"]\n  28 -> 49 [size =\"18589696\"]\n  29 [size=\"104521728\", alpha=\"0.10\", expect_size=\"52260864\"] \n  29 -> 47 [size =\"52260864\"]\n  29 -> 48 [size =\"52260864\"]\n  29 -> 50 [size =\"52260864\"]\n  30 [size=\"25591808\", alpha=\"0.19\", expect_size=\"12795904\"] \n  30 -> 45 [size =\"12795904\"]\n  30 -> 47 [size =\"12795904\"]\n  31 [size=\"89300992\", alpha=\"0.12\", expect_size=\"44650496\"] \n  31 -> 46 [size =\"44650496\"]\n  31 -> 47 [size =\"44650496\"]\n  31 -> 48 [size =\"44650496\"]\n  32 [size=\"80467968\", alpha=\"0.13\", expect_size=\"40233984\"] \n  32 -> 47 [size =\"40233984\"]\n  32 -> 48 [size =\"40233984\"]\n  32 -> 48 [size =\"40233984\"]\n  32 -> 49 [size =\"40233984\"]\n  33 [size=\"45770752\", alpha=\"0.09\", expect_size=\"22885376\"] \n  33 -> 47 [size =\"22885376\"]\n  33 -> 48 [size =\"22885376\"]\n  33 -> 49 [size =\"22885376\"]\n  34 [size=\"51251200\", alpha=\"0.09\", expect_size=\"25625600\"] \n  34 -> 46 [size =\"25625600\"]\n  34 -> 47 [size =\"25625600\"]\n  34 -> 48 [size =\"25625600\"]\n  35 [size=\"90884096\", alpha=\"0.03\", expect_size=\"45442048\"] \n  35 -> 48 [size =\"45442048\"]\n  36 [size=\"24672256\", alpha=\"0.05\", expect_size=\"12336128\"] \n  36 -> 45 [size =\"12336128\"]\n  36 -> 48 [size =\"12336128\"]\n  37 [size=\"34359296\", alpha=\"0.07\", expect_size=\"17179648\"] \n  37 -> 45 [size =\"17179648\"]\n  37 -> 48 [size =\"17179648\"]\n  38 [size=\"59598848\", alpha=\"0.10\", expect_size=\"29799424\"] \n  38 -> 45 [size =\"29799424\"]\n  38 -> 48 [size =\"29799424\"]\n  39 [size=\"87894016\", alpha=\"0.01\", expect_size=\"43947008\"] \n  39 -> 45 [size =\"43947008\"]\n  39 -> 47 [size =\"43947008\"]\n  40 [size=\"40843264\", alpha=\"0.12\", expect_size=\"20421632\"] \n  40 -> 46 [size =\"20421632\"]\n  41 [size=\"37593088\", alpha=\"0.08\", expect_size=\"18796544\"] \n  41 -> 46 [size =\"18796544\"]\n  41 -> 47 [size =\"18796544\"]\n  42 [size=\"94932992\", alpha=\"0.06\", expect_size=\"47466496\"] \n  42 -> 45 [size =\"47466496\"]\n  42 -> 46 [size =\"47466496\"]\n  42 -> 47 [size =\"47466496\"]\n  42 -> 48 [size =\"47466496\"]\n  43 [size=\"61069312\", alpha=\"0.15\", expect_size=\"30534656\"] \n  44 [size=\"102561792\", alpha=\"0.18\", expect_size=\"51280896\"] \n  44 -> 47 [size =\"51280896\"]\n  44 -> 50 [size =\"51280896\"]\n  45 [size=\"49043456\", alpha=\"0.07\", expect_size=\"24521728\"] \n  46 [size=\"65091584\", alpha=\"0.13\", expect_size=\"32545792\"] \n  47 [size=\"89432064\", alpha=\"0.10\", expect_size=\"44716032\"] \n  48 [size=\"28295168\", alpha=\"0.12\", expect_size=\"14147584\"] \n  49 [size=\"74196992\", alpha=\"0.14\", expect_size=\"37098496\"] \n  50 [size=\"77385728\", alpha=\"0.19\", expect_size=\"38692864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.920.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"134963200\", alpha=\"0.05\", expect_size=\"40488960\"] \n  1 -> 19 [size =\"40488960\"]\n  1 -> 25 [size =\"40488960\"]\n  1 -> 27 [size =\"40488960\"]\n  1 -> 32 [size =\"40488960\"]\n  1 -> 34 [size =\"40488960\"]\n  2 [size=\"168007680\", alpha=\"0.10\", expect_size=\"50402304\"] \n  2 -> 21 [size =\"50402304\"]\n  2 -> 22 [size =\"50402304\"]\n  2 -> 23 [size =\"50402304\"]\n  2 -> 32 [size =\"50402304\"]\n  2 -> 34 [size =\"50402304\"]\n  2 -> 36 [size =\"50402304\"]\n  3 [size=\"143844693\", alpha=\"0.12\", expect_size=\"43153408\"] \n  3 -> 23 [size =\"43153408\"]\n  3 -> 27 [size =\"43153408\"]\n  3 -> 31 [size =\"43153408\"]\n  3 -> 33 [size =\"43153408\"]\n  3 -> 34 [size =\"43153408\"]\n  4 [size=\"65928533\", alpha=\"0.19\", expect_size=\"19778560\"] \n  4 -> 25 [size =\"19778560\"]\n  4 -> 26 [size =\"19778560\"]\n  4 -> 28 [size =\"19778560\"]\n  4 -> 36 [size =\"19778560\"]\n  4 -> 38 [size =\"19778560\"]\n  4 -> 39 [size =\"19778560\"]\n  5 [size=\"115889493\", alpha=\"0.08\", expect_size=\"34766848\"] \n  5 -> 28 [size =\"34766848\"]\n  6 [size=\"22695253\", alpha=\"0.15\", expect_size=\"6808576\"] \n  6 -> 19 [size =\"6808576\"]\n  6 -> 25 [size =\"6808576\"]\n  6 -> 29 [size =\"6808576\"]\n  6 -> 33 [size =\"6808576\"]\n  6 -> 36 [size =\"6808576\"]\n  6 -> 37 [size =\"6808576\"]\n  7 [size=\"23456427\", alpha=\"0.02\", expect_size=\"7036928\"] \n  7 -> 19 [size =\"7036928\"]\n  7 -> 20 [size =\"7036928\"]\n  7 -> 29 [size =\"7036928\"]\n  7 -> 30 [size =\"7036928\"]\n  7 -> 34 [size =\"7036928\"]\n  7 -> 39 [size =\"7036928\"]\n  8 [size=\"75984213\", alpha=\"0.08\", expect_size=\"22795264\"] \n  8 -> 21 [size =\"22795264\"]\n  8 -> 22 [size =\"22795264\"]\n  8 -> 23 [size =\"22795264\"]\n  8 -> 24 [size =\"22795264\"]\n  8 -> 26 [size =\"22795264\"]\n  8 -> 30 [size =\"22795264\"]\n  8 -> 33 [size =\"22795264\"]\n  8 -> 36 [size =\"22795264\"]\n  8 -> 38 [size =\"22795264\"]\n  9 [size=\"163638613\", alpha=\"0.14\", expect_size=\"49091584\"] \n  9 -> 19 [size =\"49091584\"]\n  9 -> 21 [size =\"49091584\"]\n  9 -> 26 [size =\"49091584\"]\n  9 -> 35 [size =\"49091584\"]\n  9 -> 38 [size =\"49091584\"]\n  10 [size=\"81349973\", alpha=\"0.13\", expect_size=\"24404992\"] \n  10 -> 21 [size =\"24404992\"]\n  10 -> 28 [size =\"24404992\"]\n  10 -> 31 [size =\"24404992\"]\n  11 [size=\"18070187\", alpha=\"0.14\", expect_size=\"5421056\"] \n  11 -> 24 [size =\"5421056\"]\n  11 -> 28 [size =\"5421056\"]\n  11 -> 38 [size =\"5421056\"]\n  12 [size=\"56780800\", alpha=\"0.10\", expect_size=\"17034240\"] \n  12 -> 19 [size =\"17034240\"]\n  12 -> 24 [size =\"17034240\"]\n  12 -> 25 [size =\"17034240\"]\n  12 -> 28 [size =\"17034240\"]\n  12 -> 29 [size =\"17034240\"]\n  12 -> 32 [size =\"17034240\"]\n  12 -> 34 [size =\"17034240\"]\n  13 [size=\"133113173\", alpha=\"0.03\", expect_size=\"39933952\"] \n  13 -> 19 [size =\"39933952\"]\n  13 -> 23 [size =\"39933952\"]\n  13 -> 26 [size =\"39933952\"]\n  13 -> 28 [size =\"39933952\"]\n  13 -> 34 [size =\"39933952\"]\n  13 -> 39 [size =\"39933952\"]\n  14 [size=\"69048320\", alpha=\"0.16\", expect_size=\"20714496\"] \n  14 -> 19 [size =\"20714496\"]\n  14 -> 20 [size =\"20714496\"]\n  14 -> 21 [size =\"20714496\"]\n  14 -> 23 [size =\"20714496\"]\n  14 -> 24 [size =\"20714496\"]\n  14 -> 25 [size =\"20714496\"]\n  14 -> 30 [size =\"20714496\"]\n  14 -> 32 [size =\"20714496\"]\n  14 -> 34 [size =\"20714496\"]\n  14 -> 39 [size =\"20714496\"]\n  15 [size=\"58637653\", alpha=\"0.20\", expect_size=\"17591296\"] \n  15 -> 19 [size =\"17591296\"]\n  15 -> 21 [size =\"17591296\"]\n  15 -> 24 [size =\"17591296\"]\n  15 -> 25 [size =\"17591296\"]\n  15 -> 30 [size =\"17591296\"]\n  15 -> 32 [size =\"17591296\"]\n  16 [size=\"120948053\", alpha=\"0.18\", expect_size=\"36284416\"] \n  16 -> 19 [size =\"36284416\"]\n  16 -> 21 [size =\"36284416\"]\n  16 -> 32 [size =\"36284416\"]\n  16 -> 34 [size =\"36284416\"]\n  16 -> 36 [size =\"36284416\"]\n  16 -> 38 [size =\"36284416\"]\n  17 [size=\"79964160\", alpha=\"0.12\", expect_size=\"23989248\"] \n  17 -> 19 [size =\"23989248\"]\n  17 -> 21 [size =\"23989248\"]\n  17 -> 28 [size =\"23989248\"]\n  17 -> 32 [size =\"23989248\"]\n  17 -> 34 [size =\"23989248\"]\n  17 -> 38 [size =\"23989248\"]\n  18 [size=\"95334400\", alpha=\"0.12\", expect_size=\"28600320\"] \n  18 -> 21 [size =\"28600320\"]\n  18 -> 23 [size =\"28600320\"]\n  18 -> 24 [size =\"28600320\"]\n  18 -> 28 [size =\"28600320\"]\n  18 -> 29 [size =\"28600320\"]\n  18 -> 32 [size =\"28600320\"]\n  18 -> 34 [size =\"28600320\"]\n  19 [size=\"156501333\", alpha=\"0.12\", expect_size=\"46950400\"] \n  19 -> 40 [size =\"46950400\"]\n  19 -> 41 [size =\"46950400\"]\n  19 -> 50 [size =\"46950400\"]\n  20 [size=\"111697920\", alpha=\"0.07\", expect_size=\"33509376\"] \n  20 -> 40 [size =\"33509376\"]\n  20 -> 45 [size =\"33509376\"]\n  20 -> 47 [size =\"33509376\"]\n  20 -> 50 [size =\"33509376\"]\n  21 [size=\"54947840\", alpha=\"0.17\", expect_size=\"16484352\"] \n  21 -> 47 [size =\"16484352\"]\n  21 -> 50 [size =\"16484352\"]\n  22 [size=\"161522347\", alpha=\"0.05\", expect_size=\"48456704\"] \n  22 -> 41 [size =\"48456704\"]\n  22 -> 45 [size =\"48456704\"]\n  22 -> 48 [size =\"48456704\"]\n  23 [size=\"82155520\", alpha=\"0.10\", expect_size=\"24646656\"] \n  23 -> 42 [size =\"24646656\"]\n  23 -> 43 [size =\"24646656\"]\n  23 -> 47 [size =\"24646656\"]\n  24 [size=\"107905707\", alpha=\"0.01\", expect_size=\"32371712\"] \n  24 -> 40 [size =\"32371712\"]\n  24 -> 42 [size =\"32371712\"]\n  24 -> 44 [size =\"32371712\"]\n  24 -> 46 [size =\"32371712\"]\n  25 [size=\"79704747\", alpha=\"0.05\", expect_size=\"23911424\"] \n  25 -> 42 [size =\"23911424\"]\n  25 -> 45 [size =\"23911424\"]\n  25 -> 46 [size =\"23911424\"]\n  25 -> 47 [size =\"23911424\"]\n  25 -> 48 [size =\"23911424\"]\n  26 [size=\"76018347\", alpha=\"0.09\", expect_size=\"22805504\"] \n  26 -> 41 [size =\"22805504\"]\n  26 -> 43 [size =\"22805504\"]\n  26 -> 45 [size =\"22805504\"]\n  26 -> 46 [size =\"22805504\"]\n  26 -> 50 [size =\"22805504\"]\n  27 [size=\"63764480\", alpha=\"0.14\", expect_size=\"19129344\"] \n  27 -> 40 [size =\"19129344\"]\n  27 -> 45 [size =\"19129344\"]\n  27 -> 45 [size =\"19129344\"]\n  27 -> 47 [size =\"19129344\"]\n  27 -> 48 [size =\"19129344\"]\n  28 [size=\"159051093\", alpha=\"0.07\", expect_size=\"47715328\"] \n  28 -> 40 [size =\"47715328\"]\n  28 -> 41 [size =\"47715328\"]\n  28 -> 43 [size =\"47715328\"]\n  28 -> 44 [size =\"47715328\"]\n  28 -> 45 [size =\"47715328\"]\n  28 -> 47 [size =\"47715328\"]\n  28 -> 48 [size =\"47715328\"]\n  29 [size=\"94999893\", alpha=\"0.18\", expect_size=\"28499968\"] \n  29 -> 41 [size =\"28499968\"]\n  29 -> 45 [size =\"28499968\"]\n  29 -> 46 [size =\"28499968\"]\n  29 -> 48 [size =\"28499968\"]\n  30 [size=\"33047893\", alpha=\"0.17\", expect_size=\"9914368\"] \n  30 -> 41 [size =\"9914368\"]\n  30 -> 44 [size =\"9914368\"]\n  30 -> 45 [size =\"9914368\"]\n  30 -> 50 [size =\"9914368\"]\n  31 [size=\"87207253\", alpha=\"0.16\", expect_size=\"26162176\"] \n  31 -> 41 [size =\"26162176\"]\n  31 -> 44 [size =\"26162176\"]\n  31 -> 46 [size =\"26162176\"]\n  32 [size=\"60398933\", alpha=\"0.00\", expect_size=\"18119680\"] \n  32 -> 41 [size =\"18119680\"]\n  32 -> 46 [size =\"18119680\"]\n  32 -> 47 [size =\"18119680\"]\n  32 -> 49 [size =\"18119680\"]\n  32 -> 50 [size =\"18119680\"]\n  33 [size=\"103154347\", alpha=\"0.19\", expect_size=\"30946304\"] \n  33 -> 40 [size =\"30946304\"]\n  33 -> 42 [size =\"30946304\"]\n  33 -> 43 [size =\"30946304\"]\n  33 -> 44 [size =\"30946304\"]\n  33 -> 46 [size =\"30946304\"]\n  33 -> 47 [size =\"30946304\"]\n  33 -> 49 [size =\"30946304\"]\n  34 [size=\"27272533\", alpha=\"0.05\", expect_size=\"8181760\"] \n  34 -> 40 [size =\"8181760\"]\n  34 -> 42 [size =\"8181760\"]\n  34 -> 43 [size =\"8181760\"]\n  34 -> 45 [size =\"8181760\"]\n  34 -> 49 [size =\"8181760\"]\n  35 [size=\"38492160\", alpha=\"0.16\", expect_size=\"11547648\"] \n  35 -> 40 [size =\"11547648\"]\n  35 -> 42 [size =\"11547648\"]\n  35 -> 43 [size =\"11547648\"]\n  35 -> 45 [size =\"11547648\"]\n  35 -> 47 [size =\"11547648\"]\n  35 -> 49 [size =\"11547648\"]\n  36 [size=\"77943467\", alpha=\"0.19\", expect_size=\"23383040\"] \n  36 -> 40 [size =\"23383040\"]\n  36 -> 46 [size =\"23383040\"]\n  36 -> 49 [size =\"23383040\"]\n  37 [size=\"150845440\", alpha=\"0.11\", expect_size=\"45253632\"] \n  37 -> 40 [size =\"45253632\"]\n  37 -> 43 [size =\"45253632\"]\n  37 -> 46 [size =\"45253632\"]\n  37 -> 48 [size =\"45253632\"]\n  37 -> 49 [size =\"45253632\"]\n  37 -> 50 [size =\"45253632\"]\n  38 [size=\"105891840\", alpha=\"0.13\", expect_size=\"31767552\"] \n  38 -> 40 [size =\"31767552\"]\n  38 -> 43 [size =\"31767552\"]\n  38 -> 44 [size =\"31767552\"]\n  38 -> 48 [size =\"31767552\"]\n  39 [size=\"158883840\", alpha=\"0.12\", expect_size=\"47665152\"] \n  39 -> 40 [size =\"47665152\"]\n  39 -> 44 [size =\"47665152\"]\n  40 [size=\"141410987\", alpha=\"0.04\", expect_size=\"42423296\"] \n  41 [size=\"117346987\", alpha=\"0.00\", expect_size=\"35204096\"] \n  42 [size=\"87289173\", alpha=\"0.14\", expect_size=\"26186752\"] \n  43 [size=\"90545493\", alpha=\"0.17\", expect_size=\"27163648\"] \n  44 [size=\"85466453\", alpha=\"0.11\", expect_size=\"25639936\"] \n  45 [size=\"123630933\", alpha=\"0.14\", expect_size=\"37089280\"] \n  46 [size=\"88907093\", alpha=\"0.03\", expect_size=\"26672128\"] \n  47 [size=\"84773547\", alpha=\"0.19\", expect_size=\"25432064\"] \n  48 [size=\"173725013\", alpha=\"0.12\", expect_size=\"52117504\"] \n  49 [size=\"119040000\", alpha=\"0.15\", expect_size=\"35712000\"] \n  50 [size=\"59750400\", alpha=\"0.01\", expect_size=\"17925120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.921.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"159771307\", alpha=\"0.04\", expect_size=\"47931392\"] \n  1 -> 19 [size =\"47931392\"]\n  1 -> 23 [size =\"47931392\"]\n  1 -> 24 [size =\"47931392\"]\n  1 -> 26 [size =\"47931392\"]\n  2 [size=\"81298773\", alpha=\"0.19\", expect_size=\"24389632\"] \n  2 -> 16 [size =\"24389632\"]\n  2 -> 23 [size =\"24389632\"]\n  2 -> 26 [size =\"24389632\"]\n  2 -> 31 [size =\"24389632\"]\n  3 [size=\"46547627\", alpha=\"0.12\", expect_size=\"13964288\"] \n  3 -> 16 [size =\"13964288\"]\n  3 -> 19 [size =\"13964288\"]\n  3 -> 22 [size =\"13964288\"]\n  3 -> 23 [size =\"13964288\"]\n  3 -> 30 [size =\"13964288\"]\n  4 [size=\"136645973\", alpha=\"0.01\", expect_size=\"40993792\"] \n  4 -> 16 [size =\"40993792\"]\n  4 -> 21 [size =\"40993792\"]\n  4 -> 25 [size =\"40993792\"]\n  5 [size=\"19957760\", alpha=\"0.18\", expect_size=\"5987328\"] \n  5 -> 15 [size =\"5987328\"]\n  5 -> 16 [size =\"5987328\"]\n  5 -> 26 [size =\"5987328\"]\n  5 -> 30 [size =\"5987328\"]\n  6 [size=\"137874773\", alpha=\"0.13\", expect_size=\"41362432\"] \n  6 -> 21 [size =\"41362432\"]\n  6 -> 23 [size =\"41362432\"]\n  6 -> 26 [size =\"41362432\"]\n  6 -> 27 [size =\"41362432\"]\n  6 -> 28 [size =\"41362432\"]\n  6 -> 29 [size =\"41362432\"]\n  7 [size=\"30859947\", alpha=\"0.17\", expect_size=\"9257984\"] \n  7 -> 15 [size =\"9257984\"]\n  7 -> 16 [size =\"9257984\"]\n  7 -> 26 [size =\"9257984\"]\n  7 -> 27 [size =\"9257984\"]\n  7 -> 29 [size =\"9257984\"]\n  7 -> 31 [size =\"9257984\"]\n  8 [size=\"86801067\", alpha=\"0.06\", expect_size=\"26040320\"] \n  8 -> 15 [size =\"26040320\"]\n  8 -> 17 [size =\"26040320\"]\n  8 -> 24 [size =\"26040320\"]\n  8 -> 25 [size =\"26040320\"]\n  8 -> 27 [size =\"26040320\"]\n  8 -> 31 [size =\"26040320\"]\n  9 [size=\"47831040\", alpha=\"0.03\", expect_size=\"14349312\"] \n  9 -> 15 [size =\"14349312\"]\n  9 -> 16 [size =\"14349312\"]\n  9 -> 21 [size =\"14349312\"]\n  9 -> 25 [size =\"14349312\"]\n  9 -> 26 [size =\"14349312\"]\n  9 -> 29 [size =\"14349312\"]\n  9 -> 30 [size =\"14349312\"]\n  9 -> 31 [size =\"14349312\"]\n  10 [size=\"117189973\", alpha=\"0.17\", expect_size=\"35156992\"] \n  10 -> 16 [size =\"35156992\"]\n  10 -> 22 [size =\"35156992\"]\n  10 -> 26 [size =\"35156992\"]\n  10 -> 27 [size =\"35156992\"]\n  10 -> 29 [size =\"35156992\"]\n  10 -> 30 [size =\"35156992\"]\n  10 -> 31 [size =\"35156992\"]\n  11 [size=\"99331413\", alpha=\"0.01\", expect_size=\"29799424\"] \n  11 -> 16 [size =\"29799424\"]\n  11 -> 21 [size =\"29799424\"]\n  11 -> 25 [size =\"29799424\"]\n  11 -> 27 [size =\"29799424\"]\n  11 -> 28 [size =\"29799424\"]\n  11 -> 30 [size =\"29799424\"]\n  12 [size=\"127378773\", alpha=\"0.12\", expect_size=\"38213632\"] \n  12 -> 18 [size =\"38213632\"]\n  12 -> 20 [size =\"38213632\"]\n  12 -> 25 [size =\"38213632\"]\n  12 -> 27 [size =\"38213632\"]\n  12 -> 30 [size =\"38213632\"]\n  12 -> 31 [size =\"38213632\"]\n  13 [size=\"122968747\", alpha=\"0.01\", expect_size=\"36890624\"] \n  13 -> 15 [size =\"36890624\"]\n  13 -> 18 [size =\"36890624\"]\n  13 -> 25 [size =\"36890624\"]\n  13 -> 26 [size =\"36890624\"]\n  13 -> 27 [size =\"36890624\"]\n  14 [size=\"61597013\", alpha=\"0.19\", expect_size=\"18479104\"] \n  14 -> 17 [size =\"18479104\"]\n  14 -> 19 [size =\"18479104\"]\n  14 -> 24 [size =\"18479104\"]\n  14 -> 27 [size =\"18479104\"]\n  14 -> 30 [size =\"18479104\"]\n  14 -> 31 [size =\"18479104\"]\n  15 [size=\"68529493\", alpha=\"0.08\", expect_size=\"20558848\"] \n  15 -> 33 [size =\"20558848\"]\n  15 -> 35 [size =\"20558848\"]\n  15 -> 36 [size =\"20558848\"]\n  15 -> 37 [size =\"20558848\"]\n  15 -> 38 [size =\"20558848\"]\n  15 -> 40 [size =\"20558848\"]\n  15 -> 42 [size =\"20558848\"]\n  15 -> 43 [size =\"20558848\"]\n  15 -> 44 [size =\"20558848\"]\n  15 -> 45 [size =\"20558848\"]\n  15 -> 46 [size =\"20558848\"]\n  15 -> 47 [size =\"20558848\"]\n  16 [size=\"55749973\", alpha=\"0.15\", expect_size=\"16724992\"] \n  16 -> 33 [size =\"16724992\"]\n  16 -> 34 [size =\"16724992\"]\n  16 -> 35 [size =\"16724992\"]\n  16 -> 38 [size =\"16724992\"]\n  16 -> 40 [size =\"16724992\"]\n  16 -> 40 [size =\"16724992\"]\n  16 -> 42 [size =\"16724992\"]\n  16 -> 44 [size =\"16724992\"]\n  16 -> 45 [size =\"16724992\"]\n  16 -> 46 [size =\"16724992\"]\n  17 [size=\"157289813\", alpha=\"0.02\", expect_size=\"47186944\"] \n  17 -> 33 [size =\"47186944\"]\n  17 -> 35 [size =\"47186944\"]\n  17 -> 35 [size =\"47186944\"]\n  17 -> 37 [size =\"47186944\"]\n  17 -> 40 [size =\"47186944\"]\n  17 -> 41 [size =\"47186944\"]\n  17 -> 42 [size =\"47186944\"]\n  17 -> 45 [size =\"47186944\"]\n  18 [size=\"130590720\", alpha=\"0.18\", expect_size=\"39177216\"] \n  18 -> 37 [size =\"39177216\"]\n  18 -> 38 [size =\"39177216\"]\n  18 -> 40 [size =\"39177216\"]\n  18 -> 41 [size =\"39177216\"]\n  18 -> 42 [size =\"39177216\"]\n  18 -> 43 [size =\"39177216\"]\n  18 -> 44 [size =\"39177216\"]\n  18 -> 46 [size =\"39177216\"]\n  18 -> 47 [size =\"39177216\"]\n  19 [size=\"23507627\", alpha=\"0.15\", expect_size=\"7052288\"] \n  19 -> 33 [size =\"7052288\"]\n  19 -> 34 [size =\"7052288\"]\n  19 -> 35 [size =\"7052288\"]\n  19 -> 37 [size =\"7052288\"]\n  19 -> 41 [size =\"7052288\"]\n  19 -> 46 [size =\"7052288\"]\n  20 [size=\"45028693\", alpha=\"0.06\", expect_size=\"13508608\"] \n  20 -> 33 [size =\"13508608\"]\n  20 -> 34 [size =\"13508608\"]\n  20 -> 37 [size =\"13508608\"]\n  20 -> 38 [size =\"13508608\"]\n  20 -> 40 [size =\"13508608\"]\n  20 -> 42 [size =\"13508608\"]\n  20 -> 43 [size =\"13508608\"]\n  20 -> 44 [size =\"13508608\"]\n  21 [size=\"19766613\", alpha=\"0.16\", expect_size=\"5929984\"] \n  21 -> 33 [size =\"5929984\"]\n  21 -> 34 [size =\"5929984\"]\n  21 -> 35 [size =\"5929984\"]\n  21 -> 38 [size =\"5929984\"]\n  21 -> 40 [size =\"5929984\"]\n  21 -> 41 [size =\"5929984\"]\n  21 -> 44 [size =\"5929984\"]\n  21 -> 45 [size =\"5929984\"]\n  22 [size=\"23941120\", alpha=\"0.14\", expect_size=\"7182336\"] \n  22 -> 38 [size =\"7182336\"]\n  22 -> 39 [size =\"7182336\"]\n  22 -> 40 [size =\"7182336\"]\n  22 -> 44 [size =\"7182336\"]\n  22 -> 45 [size =\"7182336\"]\n  22 -> 47 [size =\"7182336\"]\n  23 [size=\"121780907\", alpha=\"0.16\", expect_size=\"36534272\"] \n  23 -> 40 [size =\"36534272\"]\n  23 -> 41 [size =\"36534272\"]\n  23 -> 45 [size =\"36534272\"]\n  23 -> 47 [size =\"36534272\"]\n  24 [size=\"127668907\", alpha=\"0.13\", expect_size=\"38300672\"] \n  24 -> 33 [size =\"38300672\"]\n  24 -> 35 [size =\"38300672\"]\n  24 -> 36 [size =\"38300672\"]\n  24 -> 37 [size =\"38300672\"]\n  24 -> 38 [size =\"38300672\"]\n  24 -> 40 [size =\"38300672\"]\n  24 -> 41 [size =\"38300672\"]\n  24 -> 43 [size =\"38300672\"]\n  24 -> 44 [size =\"38300672\"]\n  24 -> 45 [size =\"38300672\"]\n  24 -> 46 [size =\"38300672\"]\n  25 [size=\"120275627\", alpha=\"0.10\", expect_size=\"36082688\"] \n  25 -> 33 [size =\"36082688\"]\n  25 -> 37 [size =\"36082688\"]\n  25 -> 38 [size =\"36082688\"]\n  25 -> 40 [size =\"36082688\"]\n  25 -> 42 [size =\"36082688\"]\n  25 -> 43 [size =\"36082688\"]\n  26 [size=\"22091093\", alpha=\"0.02\", expect_size=\"6627328\"] \n  26 -> 33 [size =\"6627328\"]\n  26 -> 37 [size =\"6627328\"]\n  26 -> 38 [size =\"6627328\"]\n  26 -> 40 [size =\"6627328\"]\n  26 -> 41 [size =\"6627328\"]\n  26 -> 42 [size =\"6627328\"]\n  26 -> 43 [size =\"6627328\"]\n  26 -> 44 [size =\"6627328\"]\n  27 [size=\"141213013\", alpha=\"0.16\", expect_size=\"42363904\"] \n  27 -> 33 [size =\"42363904\"]\n  27 -> 37 [size =\"42363904\"]\n  27 -> 38 [size =\"42363904\"]\n  27 -> 41 [size =\"42363904\"]\n  27 -> 42 [size =\"42363904\"]\n  27 -> 43 [size =\"42363904\"]\n  27 -> 45 [size =\"42363904\"]\n  27 -> 47 [size =\"42363904\"]\n  28 [size=\"155992747\", alpha=\"0.19\", expect_size=\"46797824\"] \n  28 -> 32 [size =\"46797824\"]\n  28 -> 35 [size =\"46797824\"]\n  28 -> 37 [size =\"46797824\"]\n  28 -> 39 [size =\"46797824\"]\n  28 -> 41 [size =\"46797824\"]\n  28 -> 42 [size =\"46797824\"]\n  28 -> 43 [size =\"46797824\"]\n  28 -> 46 [size =\"46797824\"]\n  28 -> 47 [size =\"46797824\"]\n  29 [size=\"139967147\", alpha=\"0.06\", expect_size=\"41990144\"] \n  29 -> 35 [size =\"41990144\"]\n  29 -> 35 [size =\"41990144\"]\n  29 -> 37 [size =\"41990144\"]\n  29 -> 38 [size =\"41990144\"]\n  29 -> 39 [size =\"41990144\"]\n  29 -> 41 [size =\"41990144\"]\n  29 -> 42 [size =\"41990144\"]\n  29 -> 46 [size =\"41990144\"]\n  29 -> 47 [size =\"41990144\"]\n  30 [size=\"98358613\", alpha=\"0.05\", expect_size=\"29507584\"] \n  30 -> 41 [size =\"29507584\"]\n  30 -> 42 [size =\"29507584\"]\n  30 -> 43 [size =\"29507584\"]\n  30 -> 44 [size =\"29507584\"]\n  30 -> 45 [size =\"29507584\"]\n  30 -> 46 [size =\"29507584\"]\n  31 [size=\"148940800\", alpha=\"0.15\", expect_size=\"44682240\"] \n  31 -> 36 [size =\"44682240\"]\n  31 -> 37 [size =\"44682240\"]\n  31 -> 38 [size =\"44682240\"]\n  31 -> 39 [size =\"44682240\"]\n  31 -> 42 [size =\"44682240\"]\n  31 -> 45 [size =\"44682240\"]\n  31 -> 47 [size =\"44682240\"]\n  32 [size=\"119435947\", alpha=\"0.19\", expect_size=\"35830784\"] \n  32 -> 49 [size =\"35830784\"]\n  32 -> 50 [size =\"35830784\"]\n  33 [size=\"73669973\", alpha=\"0.16\", expect_size=\"22100992\"] \n  33 -> 50 [size =\"22100992\"]\n  33 -> 50 [size =\"22100992\"]\n  34 [size=\"40714240\", alpha=\"0.19\", expect_size=\"12214272\"] \n  35 [size=\"139745280\", alpha=\"0.09\", expect_size=\"41923584\"] \n  35 -> 50 [size =\"41923584\"]\n  36 [size=\"58671787\", alpha=\"0.03\", expect_size=\"17601536\"] \n  36 -> 49 [size =\"17601536\"]\n  36 -> 50 [size =\"17601536\"]\n  37 [size=\"75182080\", alpha=\"0.15\", expect_size=\"22554624\"] \n  37 -> 49 [size =\"22554624\"]\n  37 -> 50 [size =\"22554624\"]\n  38 [size=\"45373440\", alpha=\"0.01\", expect_size=\"13612032\"] \n  38 -> 48 [size =\"13612032\"]\n  38 -> 49 [size =\"13612032\"]\n  38 -> 50 [size =\"13612032\"]\n  39 [size=\"38574080\", alpha=\"0.08\", expect_size=\"11572224\"] \n  39 -> 49 [size =\"11572224\"]\n  39 -> 49 [size =\"11572224\"]\n  40 [size=\"85142187\", alpha=\"0.19\", expect_size=\"25542656\"] \n  40 -> 49 [size =\"25542656\"]\n  41 [size=\"127508480\", alpha=\"0.10\", expect_size=\"38252544\"] \n  41 -> 49 [size =\"38252544\"]\n  41 -> 50 [size =\"38252544\"]\n  42 [size=\"90238293\", alpha=\"0.02\", expect_size=\"27071488\"] \n  43 [size=\"83234133\", alpha=\"0.07\", expect_size=\"24970240\"] \n  44 [size=\"54712320\", alpha=\"0.06\", expect_size=\"16413696\"] \n  44 -> 49 [size =\"16413696\"]\n  44 -> 50 [size =\"16413696\"]\n  45 [size=\"48790187\", alpha=\"0.18\", expect_size=\"14637056\"] \n  45 -> 50 [size =\"14637056\"]\n  46 [size=\"116527787\", alpha=\"0.11\", expect_size=\"34958336\"] \n  46 -> 49 [size =\"34958336\"]\n  46 -> 50 [size =\"34958336\"]\n  47 [size=\"138912427\", alpha=\"0.19\", expect_size=\"41673728\"] \n  47 -> 49 [size =\"41673728\"]\n  47 -> 50 [size =\"41673728\"]\n  48 [size=\"98471253\", alpha=\"0.05\", expect_size=\"29541376\"] \n  49 [size=\"108325547\", alpha=\"0.07\", expect_size=\"32497664\"] \n  50 [size=\"174503253\", alpha=\"0.19\", expect_size=\"52350976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.922.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"143902720\", alpha=\"0.05\", expect_size=\"43170816\"] \n  1 -> 34 [size =\"43170816\"]\n  1 -> 37 [size =\"43170816\"]\n  1 -> 42 [size =\"43170816\"]\n  1 -> 49 [size =\"43170816\"]\n  2 [size=\"115613013\", alpha=\"0.20\", expect_size=\"34683904\"] \n  2 -> 34 [size =\"34683904\"]\n  2 -> 35 [size =\"34683904\"]\n  2 -> 38 [size =\"34683904\"]\n  2 -> 41 [size =\"34683904\"]\n  2 -> 48 [size =\"34683904\"]\n  2 -> 49 [size =\"34683904\"]\n  3 [size=\"127685973\", alpha=\"0.04\", expect_size=\"38305792\"] \n  3 -> 31 [size =\"38305792\"]\n  3 -> 44 [size =\"38305792\"]\n  3 -> 46 [size =\"38305792\"]\n  3 -> 49 [size =\"38305792\"]\n  4 [size=\"132666027\", alpha=\"0.17\", expect_size=\"39799808\"] \n  4 -> 31 [size =\"39799808\"]\n  4 -> 35 [size =\"39799808\"]\n  4 -> 37 [size =\"39799808\"]\n  4 -> 38 [size =\"39799808\"]\n  4 -> 42 [size =\"39799808\"]\n  4 -> 44 [size =\"39799808\"]\n  4 -> 45 [size =\"39799808\"]\n  4 -> 48 [size =\"39799808\"]\n  5 [size=\"78940160\", alpha=\"0.07\", expect_size=\"23682048\"] \n  5 -> 31 [size =\"23682048\"]\n  5 -> 34 [size =\"23682048\"]\n  5 -> 35 [size =\"23682048\"]\n  5 -> 36 [size =\"23682048\"]\n  5 -> 37 [size =\"23682048\"]\n  5 -> 38 [size =\"23682048\"]\n  5 -> 40 [size =\"23682048\"]\n  5 -> 45 [size =\"23682048\"]\n  5 -> 46 [size =\"23682048\"]\n  5 -> 47 [size =\"23682048\"]\n  5 -> 48 [size =\"23682048\"]\n  5 -> 49 [size =\"23682048\"]\n  6 [size=\"165635413\", alpha=\"0.12\", expect_size=\"49690624\"] \n  6 -> 31 [size =\"49690624\"]\n  6 -> 35 [size =\"49690624\"]\n  6 -> 37 [size =\"49690624\"]\n  6 -> 45 [size =\"49690624\"]\n  6 -> 46 [size =\"49690624\"]\n  6 -> 47 [size =\"49690624\"]\n  6 -> 48 [size =\"49690624\"]\n  7 [size=\"19913387\", alpha=\"0.20\", expect_size=\"5974016\"] \n  7 -> 31 [size =\"5974016\"]\n  7 -> 32 [size =\"5974016\"]\n  7 -> 35 [size =\"5974016\"]\n  7 -> 38 [size =\"5974016\"]\n  7 -> 47 [size =\"5974016\"]\n  7 -> 48 [size =\"5974016\"]\n  7 -> 49 [size =\"5974016\"]\n  8 [size=\"106554027\", alpha=\"0.08\", expect_size=\"31966208\"] \n  8 -> 31 [size =\"31966208\"]\n  8 -> 35 [size =\"31966208\"]\n  8 -> 42 [size =\"31966208\"]\n  8 -> 44 [size =\"31966208\"]\n  8 -> 49 [size =\"31966208\"]\n  9 [size=\"50391040\", alpha=\"0.17\", expect_size=\"15117312\"] \n  9 -> 31 [size =\"15117312\"]\n  9 -> 42 [size =\"15117312\"]\n  9 -> 46 [size =\"15117312\"]\n  9 -> 49 [size =\"15117312\"]\n  9 -> 49 [size =\"15117312\"]\n  10 [size=\"88019627\", alpha=\"0.01\", expect_size=\"26405888\"] \n  10 -> 31 [size =\"26405888\"]\n  10 -> 34 [size =\"26405888\"]\n  10 -> 37 [size =\"26405888\"]\n  10 -> 39 [size =\"26405888\"]\n  10 -> 41 [size =\"26405888\"]\n  11 [size=\"99433813\", alpha=\"0.11\", expect_size=\"29830144\"] \n  11 -> 31 [size =\"29830144\"]\n  11 -> 32 [size =\"29830144\"]\n  11 -> 34 [size =\"29830144\"]\n  11 -> 38 [size =\"29830144\"]\n  11 -> 43 [size =\"29830144\"]\n  11 -> 48 [size =\"29830144\"]\n  11 -> 49 [size =\"29830144\"]\n  12 [size=\"141919573\", alpha=\"0.09\", expect_size=\"42575872\"] \n  12 -> 34 [size =\"42575872\"]\n  12 -> 37 [size =\"42575872\"]\n  12 -> 47 [size =\"42575872\"]\n  12 -> 48 [size =\"42575872\"]\n  13 [size=\"140803413\", alpha=\"0.12\", expect_size=\"42241024\"] \n  13 -> 31 [size =\"42241024\"]\n  13 -> 32 [size =\"42241024\"]\n  13 -> 33 [size =\"42241024\"]\n  13 -> 34 [size =\"42241024\"]\n  13 -> 35 [size =\"42241024\"]\n  13 -> 43 [size =\"42241024\"]\n  13 -> 45 [size =\"42241024\"]\n  13 -> 47 [size =\"42241024\"]\n  14 [size=\"172339200\", alpha=\"0.10\", expect_size=\"51701760\"] \n  14 -> 31 [size =\"51701760\"]\n  14 -> 45 [size =\"51701760\"]\n  14 -> 47 [size =\"51701760\"]\n  15 [size=\"149927253\", alpha=\"0.09\", expect_size=\"44978176\"] \n  15 -> 37 [size =\"44978176\"]\n  15 -> 47 [size =\"44978176\"]\n  15 -> 47 [size =\"44978176\"]\n  16 [size=\"51595947\", alpha=\"0.15\", expect_size=\"15478784\"] \n  16 -> 34 [size =\"15478784\"]\n  16 -> 37 [size =\"15478784\"]\n  16 -> 42 [size =\"15478784\"]\n  17 [size=\"143517013\", alpha=\"0.10\", expect_size=\"43055104\"] \n  17 -> 48 [size =\"43055104\"]\n  18 [size=\"141192533\", alpha=\"0.05\", expect_size=\"42357760\"] \n  18 -> 32 [size =\"42357760\"]\n  18 -> 34 [size =\"42357760\"]\n  18 -> 37 [size =\"42357760\"]\n  18 -> 46 [size =\"42357760\"]\n  19 [size=\"45714773\", alpha=\"0.09\", expect_size=\"13714432\"] \n  19 -> 35 [size =\"13714432\"]\n  19 -> 42 [size =\"13714432\"]\n  20 [size=\"25337173\", alpha=\"0.16\", expect_size=\"7601152\"] \n  20 -> 35 [size =\"7601152\"]\n  20 -> 38 [size =\"7601152\"]\n  20 -> 46 [size =\"7601152\"]\n  20 -> 49 [size =\"7601152\"]\n  21 [size=\"29511680\", alpha=\"0.20\", expect_size=\"8853504\"] \n  21 -> 32 [size =\"8853504\"]\n  21 -> 35 [size =\"8853504\"]\n  21 -> 38 [size =\"8853504\"]\n  21 -> 47 [size =\"8853504\"]\n  21 -> 48 [size =\"8853504\"]\n  21 -> 50 [size =\"8853504\"]\n  22 [size=\"116200107\", alpha=\"0.15\", expect_size=\"34860032\"] \n  22 -> 37 [size =\"34860032\"]\n  22 -> 46 [size =\"34860032\"]\n  23 [size=\"29515093\", alpha=\"0.05\", expect_size=\"8854528\"] \n  23 -> 31 [size =\"8854528\"]\n  23 -> 35 [size =\"8854528\"]\n  23 -> 37 [size =\"8854528\"]\n  23 -> 38 [size =\"8854528\"]\n  23 -> 42 [size =\"8854528\"]\n  23 -> 46 [size =\"8854528\"]\n  23 -> 48 [size =\"8854528\"]\n  24 [size=\"121804800\", alpha=\"0.09\", expect_size=\"36541440\"] \n  24 -> 35 [size =\"36541440\"]\n  24 -> 37 [size =\"36541440\"]\n  24 -> 38 [size =\"36541440\"]\n  24 -> 38 [size =\"36541440\"]\n  24 -> 42 [size =\"36541440\"]\n  24 -> 45 [size =\"36541440\"]\n  25 [size=\"42349227\", alpha=\"0.01\", expect_size=\"12704768\"] \n  25 -> 35 [size =\"12704768\"]\n  25 -> 42 [size =\"12704768\"]\n  25 -> 43 [size =\"12704768\"]\n  25 -> 48 [size =\"12704768\"]\n  26 [size=\"113544533\", alpha=\"0.12\", expect_size=\"34063360\"] \n  26 -> 34 [size =\"34063360\"]\n  26 -> 38 [size =\"34063360\"]\n  26 -> 47 [size =\"34063360\"]\n  27 [size=\"74359467\", alpha=\"0.03\", expect_size=\"22307840\"] \n  27 -> 37 [size =\"22307840\"]\n  27 -> 39 [size =\"22307840\"]\n  27 -> 42 [size =\"22307840\"]\n  27 -> 49 [size =\"22307840\"]\n  28 [size=\"152405333\", alpha=\"0.06\", expect_size=\"45721600\"] \n  28 -> 41 [size =\"45721600\"]\n  28 -> 48 [size =\"45721600\"]\n  28 -> 49 [size =\"45721600\"]\n  29 [size=\"38331733\", alpha=\"0.13\", expect_size=\"11499520\"] \n  29 -> 31 [size =\"11499520\"]\n  29 -> 34 [size =\"11499520\"]\n  29 -> 35 [size =\"11499520\"]\n  29 -> 37 [size =\"11499520\"]\n  29 -> 38 [size =\"11499520\"]\n  29 -> 45 [size =\"11499520\"]\n  30 [size=\"112462507\", alpha=\"0.08\", expect_size=\"33738752\"] \n  30 -> 37 [size =\"33738752\"]\n  30 -> 41 [size =\"33738752\"]\n  30 -> 46 [size =\"33738752\"]\n  30 -> 49 [size =\"33738752\"]\n  31 [size=\"84664320\", alpha=\"0.14\", expect_size=\"25399296\"] \n  32 [size=\"81360213\", alpha=\"0.16\", expect_size=\"24408064\"] \n  33 [size=\"43403947\", alpha=\"0.14\", expect_size=\"13021184\"] \n  34 [size=\"81008640\", alpha=\"0.11\", expect_size=\"24302592\"] \n  35 [size=\"152077653\", alpha=\"0.05\", expect_size=\"45623296\"] \n  36 [size=\"160791893\", alpha=\"0.04\", expect_size=\"48237568\"] \n  37 [size=\"98027520\", alpha=\"0.18\", expect_size=\"29408256\"] \n  38 [size=\"123504640\", alpha=\"0.09\", expect_size=\"37051392\"] \n  39 [size=\"169018027\", alpha=\"0.03\", expect_size=\"50705408\"] \n  40 [size=\"110199467\", alpha=\"0.17\", expect_size=\"33059840\"] \n  41 [size=\"17592320\", alpha=\"0.14\", expect_size=\"5277696\"] \n  42 [size=\"130447360\", alpha=\"0.03\", expect_size=\"39134208\"] \n  43 [size=\"101341867\", alpha=\"0.13\", expect_size=\"30402560\"] \n  44 [size=\"53616640\", alpha=\"0.17\", expect_size=\"16084992\"] \n  45 [size=\"142124373\", alpha=\"0.04\", expect_size=\"42637312\"] \n  46 [size=\"27467093\", alpha=\"0.03\", expect_size=\"8240128\"] \n  47 [size=\"58337280\", alpha=\"0.09\", expect_size=\"17501184\"] \n  48 [size=\"46202880\", alpha=\"0.13\", expect_size=\"13860864\"] \n  49 [size=\"114783573\", alpha=\"0.19\", expect_size=\"34435072\"] \n  50 [size=\"135031467\", alpha=\"0.17\", expect_size=\"40509440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.923.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"70901760\", alpha=\"0.02\", expect_size=\"35450880\"] \n  1 -> 18 [size =\"35450880\"]\n  1 -> 20 [size =\"35450880\"]\n  1 -> 22 [size =\"35450880\"]\n  1 -> 27 [size =\"35450880\"]\n  1 -> 28 [size =\"35450880\"]\n  1 -> 29 [size =\"35450880\"]\n  1 -> 30 [size =\"35450880\"]\n  2 [size=\"65714176\", alpha=\"0.16\", expect_size=\"32857088\"] \n  2 -> 17 [size =\"32857088\"]\n  2 -> 18 [size =\"32857088\"]\n  2 -> 20 [size =\"32857088\"]\n  2 -> 26 [size =\"32857088\"]\n  2 -> 30 [size =\"32857088\"]\n  3 [size=\"31434752\", alpha=\"0.14\", expect_size=\"15717376\"] \n  3 -> 17 [size =\"15717376\"]\n  3 -> 18 [size =\"15717376\"]\n  3 -> 19 [size =\"15717376\"]\n  3 -> 20 [size =\"15717376\"]\n  3 -> 22 [size =\"15717376\"]\n  3 -> 26 [size =\"15717376\"]\n  3 -> 29 [size =\"15717376\"]\n  3 -> 30 [size =\"15717376\"]\n  4 [size=\"54267904\", alpha=\"0.08\", expect_size=\"27133952\"] \n  4 -> 17 [size =\"27133952\"]\n  4 -> 18 [size =\"27133952\"]\n  4 -> 20 [size =\"27133952\"]\n  4 -> 20 [size =\"27133952\"]\n  4 -> 26 [size =\"27133952\"]\n  4 -> 27 [size =\"27133952\"]\n  4 -> 29 [size =\"27133952\"]\n  4 -> 30 [size =\"27133952\"]\n  5 [size=\"33253376\", alpha=\"0.04\", expect_size=\"16626688\"] \n  5 -> 17 [size =\"16626688\"]\n  5 -> 20 [size =\"16626688\"]\n  5 -> 21 [size =\"16626688\"]\n  5 -> 22 [size =\"16626688\"]\n  5 -> 23 [size =\"16626688\"]\n  5 -> 26 [size =\"16626688\"]\n  5 -> 27 [size =\"16626688\"]\n  5 -> 28 [size =\"16626688\"]\n  5 -> 30 [size =\"16626688\"]\n  6 [size=\"49336320\", alpha=\"0.17\", expect_size=\"24668160\"] \n  6 -> 17 [size =\"24668160\"]\n  6 -> 18 [size =\"24668160\"]\n  6 -> 19 [size =\"24668160\"]\n  6 -> 20 [size =\"24668160\"]\n  6 -> 22 [size =\"24668160\"]\n  6 -> 23 [size =\"24668160\"]\n  6 -> 26 [size =\"24668160\"]\n  6 -> 27 [size =\"24668160\"]\n  6 -> 28 [size =\"24668160\"]\n  6 -> 29 [size =\"24668160\"]\n  6 -> 30 [size =\"24668160\"]\n  7 [size=\"94939136\", alpha=\"0.05\", expect_size=\"47469568\"] \n  7 -> 17 [size =\"47469568\"]\n  7 -> 20 [size =\"47469568\"]\n  7 -> 21 [size =\"47469568\"]\n  7 -> 27 [size =\"47469568\"]\n  7 -> 28 [size =\"47469568\"]\n  7 -> 29 [size =\"47469568\"]\n  7 -> 30 [size =\"47469568\"]\n  8 [size=\"91277312\", alpha=\"0.02\", expect_size=\"45638656\"] \n  8 -> 17 [size =\"45638656\"]\n  8 -> 20 [size =\"45638656\"]\n  8 -> 21 [size =\"45638656\"]\n  8 -> 24 [size =\"45638656\"]\n  8 -> 25 [size =\"45638656\"]\n  8 -> 26 [size =\"45638656\"]\n  8 -> 27 [size =\"45638656\"]\n  8 -> 28 [size =\"45638656\"]\n  8 -> 29 [size =\"45638656\"]\n  8 -> 30 [size =\"45638656\"]\n  9 [size=\"16201728\", alpha=\"0.12\", expect_size=\"8100864\"] \n  9 -> 17 [size =\"8100864\"]\n  9 -> 19 [size =\"8100864\"]\n  9 -> 20 [size =\"8100864\"]\n  9 -> 21 [size =\"8100864\"]\n  9 -> 25 [size =\"8100864\"]\n  9 -> 26 [size =\"8100864\"]\n  9 -> 27 [size =\"8100864\"]\n  9 -> 28 [size =\"8100864\"]\n  9 -> 29 [size =\"8100864\"]\n  9 -> 30 [size =\"8100864\"]\n  10 [size=\"98627584\", alpha=\"0.00\", expect_size=\"49313792\"] \n  10 -> 17 [size =\"49313792\"]\n  10 -> 18 [size =\"49313792\"]\n  10 -> 19 [size =\"49313792\"]\n  10 -> 20 [size =\"49313792\"]\n  10 -> 26 [size =\"49313792\"]\n  10 -> 27 [size =\"49313792\"]\n  10 -> 28 [size =\"49313792\"]\n  10 -> 29 [size =\"49313792\"]\n  10 -> 29 [size =\"49313792\"]\n  10 -> 30 [size =\"49313792\"]\n  11 [size=\"67061760\", alpha=\"0.11\", expect_size=\"33530880\"] \n  11 -> 17 [size =\"33530880\"]\n  11 -> 18 [size =\"33530880\"]\n  11 -> 19 [size =\"33530880\"]\n  11 -> 20 [size =\"33530880\"]\n  11 -> 26 [size =\"33530880\"]\n  11 -> 27 [size =\"33530880\"]\n  11 -> 29 [size =\"33530880\"]\n  11 -> 29 [size =\"33530880\"]\n  12 [size=\"78440448\", alpha=\"0.08\", expect_size=\"39220224\"] \n  12 -> 18 [size =\"39220224\"]\n  12 -> 18 [size =\"39220224\"]\n  12 -> 20 [size =\"39220224\"]\n  12 -> 20 [size =\"39220224\"]\n  12 -> 21 [size =\"39220224\"]\n  12 -> 24 [size =\"39220224\"]\n  12 -> 28 [size =\"39220224\"]\n  12 -> 30 [size =\"39220224\"]\n  13 [size=\"60346368\", alpha=\"0.09\", expect_size=\"30173184\"] \n  13 -> 18 [size =\"30173184\"]\n  13 -> 20 [size =\"30173184\"]\n  13 -> 30 [size =\"30173184\"]\n  14 [size=\"33167360\", alpha=\"0.16\", expect_size=\"16583680\"] \n  14 -> 18 [size =\"16583680\"]\n  14 -> 21 [size =\"16583680\"]\n  14 -> 22 [size =\"16583680\"]\n  14 -> 27 [size =\"16583680\"]\n  14 -> 28 [size =\"16583680\"]\n  14 -> 30 [size =\"16583680\"]\n  15 [size=\"68913152\", alpha=\"0.16\", expect_size=\"34456576\"] \n  15 -> 17 [size =\"34456576\"]\n  15 -> 18 [size =\"34456576\"]\n  15 -> 19 [size =\"34456576\"]\n  15 -> 28 [size =\"34456576\"]\n  15 -> 29 [size =\"34456576\"]\n  15 -> 30 [size =\"34456576\"]\n  16 [size=\"86554624\", alpha=\"0.19\", expect_size=\"43277312\"] \n  16 -> 17 [size =\"43277312\"]\n  16 -> 19 [size =\"43277312\"]\n  16 -> 27 [size =\"43277312\"]\n  16 -> 28 [size =\"43277312\"]\n  16 -> 29 [size =\"43277312\"]\n  16 -> 30 [size =\"43277312\"]\n  17 [size=\"73039872\", alpha=\"0.16\", expect_size=\"36519936\"] \n  17 -> 32 [size =\"36519936\"]\n  17 -> 33 [size =\"36519936\"]\n  17 -> 35 [size =\"36519936\"]\n  17 -> 37 [size =\"36519936\"]\n  17 -> 40 [size =\"36519936\"]\n  17 -> 41 [size =\"36519936\"]\n  17 -> 42 [size =\"36519936\"]\n  18 [size=\"95840256\", alpha=\"0.08\", expect_size=\"47920128\"] \n  18 -> 31 [size =\"47920128\"]\n  18 -> 32 [size =\"47920128\"]\n  18 -> 33 [size =\"47920128\"]\n  18 -> 40 [size =\"47920128\"]\n  18 -> 44 [size =\"47920128\"]\n  19 [size=\"104579072\", alpha=\"0.10\", expect_size=\"52289536\"] \n  19 -> 31 [size =\"52289536\"]\n  19 -> 32 [size =\"52289536\"]\n  19 -> 33 [size =\"52289536\"]\n  19 -> 40 [size =\"52289536\"]\n  19 -> 41 [size =\"52289536\"]\n  19 -> 43 [size =\"52289536\"]\n  20 [size=\"65925120\", alpha=\"0.20\", expect_size=\"32962560\"] \n  20 -> 31 [size =\"32962560\"]\n  20 -> 33 [size =\"32962560\"]\n  20 -> 33 [size =\"32962560\"]\n  20 -> 36 [size =\"32962560\"]\n  20 -> 37 [size =\"32962560\"]\n  20 -> 39 [size =\"32962560\"]\n  20 -> 40 [size =\"32962560\"]\n  21 [size=\"66035712\", alpha=\"0.02\", expect_size=\"33017856\"] \n  21 -> 31 [size =\"33017856\"]\n  21 -> 32 [size =\"33017856\"]\n  21 -> 33 [size =\"33017856\"]\n  21 -> 37 [size =\"33017856\"]\n  21 -> 39 [size =\"33017856\"]\n  21 -> 39 [size =\"33017856\"]\n  21 -> 40 [size =\"33017856\"]\n  21 -> 41 [size =\"33017856\"]\n  21 -> 42 [size =\"33017856\"]\n  21 -> 43 [size =\"33017856\"]\n  22 [size=\"25352192\", alpha=\"0.17\", expect_size=\"12676096\"] \n  22 -> 31 [size =\"12676096\"]\n  22 -> 33 [size =\"12676096\"]\n  22 -> 34 [size =\"12676096\"]\n  22 -> 36 [size =\"12676096\"]\n  22 -> 37 [size =\"12676096\"]\n  22 -> 39 [size =\"12676096\"]\n  22 -> 40 [size =\"12676096\"]\n  23 [size=\"61521920\", alpha=\"0.15\", expect_size=\"30760960\"] \n  23 -> 32 [size =\"30760960\"]\n  23 -> 33 [size =\"30760960\"]\n  23 -> 36 [size =\"30760960\"]\n  23 -> 36 [size =\"30760960\"]\n  23 -> 37 [size =\"30760960\"]\n  23 -> 39 [size =\"30760960\"]\n  23 -> 40 [size =\"30760960\"]\n  23 -> 43 [size =\"30760960\"]\n  23 -> 44 [size =\"30760960\"]\n  24 [size=\"103301120\", alpha=\"0.03\", expect_size=\"51650560\"] \n  24 -> 32 [size =\"51650560\"]\n  24 -> 37 [size =\"51650560\"]\n  24 -> 39 [size =\"51650560\"]\n  24 -> 40 [size =\"51650560\"]\n  24 -> 42 [size =\"51650560\"]\n  24 -> 44 [size =\"51650560\"]\n  25 [size=\"86382592\", alpha=\"0.16\", expect_size=\"43191296\"] \n  25 -> 32 [size =\"43191296\"]\n  25 -> 33 [size =\"43191296\"]\n  25 -> 34 [size =\"43191296\"]\n  25 -> 37 [size =\"43191296\"]\n  25 -> 39 [size =\"43191296\"]\n  25 -> 40 [size =\"43191296\"]\n  25 -> 43 [size =\"43191296\"]\n  26 [size=\"67145728\", alpha=\"0.17\", expect_size=\"33572864\"] \n  26 -> 32 [size =\"33572864\"]\n  26 -> 36 [size =\"33572864\"]\n  26 -> 37 [size =\"33572864\"]\n  26 -> 37 [size =\"33572864\"]\n  26 -> 39 [size =\"33572864\"]\n  26 -> 43 [size =\"33572864\"]\n  27 [size=\"63590400\", alpha=\"0.16\", expect_size=\"31795200\"] \n  27 -> 32 [size =\"31795200\"]\n  27 -> 33 [size =\"31795200\"]\n  27 -> 35 [size =\"31795200\"]\n  27 -> 36 [size =\"31795200\"]\n  27 -> 37 [size =\"31795200\"]\n  27 -> 39 [size =\"31795200\"]\n  27 -> 40 [size =\"31795200\"]\n  27 -> 43 [size =\"31795200\"]\n  27 -> 44 [size =\"31795200\"]\n  28 [size=\"42645504\", alpha=\"0.12\", expect_size=\"21322752\"] \n  28 -> 31 [size =\"21322752\"]\n  28 -> 32 [size =\"21322752\"]\n  28 -> 33 [size =\"21322752\"]\n  28 -> 35 [size =\"21322752\"]\n  28 -> 40 [size =\"21322752\"]\n  28 -> 43 [size =\"21322752\"]\n  28 -> 44 [size =\"21322752\"]\n  29 [size=\"81846272\", alpha=\"0.09\", expect_size=\"40923136\"] \n  29 -> 31 [size =\"40923136\"]\n  29 -> 32 [size =\"40923136\"]\n  29 -> 33 [size =\"40923136\"]\n  29 -> 44 [size =\"40923136\"]\n  30 [size=\"34816000\", alpha=\"0.05\", expect_size=\"17408000\"] \n  30 -> 33 [size =\"17408000\"]\n  30 -> 37 [size =\"17408000\"]\n  30 -> 38 [size =\"17408000\"]\n  30 -> 40 [size =\"17408000\"]\n  30 -> 41 [size =\"17408000\"]\n  30 -> 43 [size =\"17408000\"]\n  31 [size=\"33726464\", alpha=\"0.13\", expect_size=\"16863232\"] \n  31 -> 46 [size =\"16863232\"]\n  31 -> 46 [size =\"16863232\"]\n  31 -> 48 [size =\"16863232\"]\n  31 -> 50 [size =\"16863232\"]\n  32 [size=\"44619776\", alpha=\"0.15\", expect_size=\"22309888\"] \n  32 -> 46 [size =\"22309888\"]\n  32 -> 50 [size =\"22309888\"]\n  33 [size=\"28352512\", alpha=\"0.08\", expect_size=\"14176256\"] \n  33 -> 45 [size =\"14176256\"]\n  33 -> 46 [size =\"14176256\"]\n  33 -> 47 [size =\"14176256\"]\n  33 -> 48 [size =\"14176256\"]\n  33 -> 49 [size =\"14176256\"]\n  33 -> 50 [size =\"14176256\"]\n  34 [size=\"100247552\", alpha=\"0.06\", expect_size=\"50123776\"] \n  34 -> 47 [size =\"50123776\"]\n  34 -> 48 [size =\"50123776\"]\n  34 -> 50 [size =\"50123776\"]\n  35 [size=\"20971520\", alpha=\"0.16\", expect_size=\"10485760\"] \n  35 -> 47 [size =\"10485760\"]\n  35 -> 48 [size =\"10485760\"]\n  35 -> 50 [size =\"10485760\"]\n  36 [size=\"96409600\", alpha=\"0.02\", expect_size=\"48204800\"] \n  36 -> 46 [size =\"48204800\"]\n  36 -> 47 [size =\"48204800\"]\n  36 -> 48 [size =\"48204800\"]\n  36 -> 50 [size =\"48204800\"]\n  37 [size=\"82298880\", alpha=\"0.02\", expect_size=\"41149440\"] \n  37 -> 47 [size =\"41149440\"]\n  37 -> 47 [size =\"41149440\"]\n  37 -> 50 [size =\"41149440\"]\n  38 [size=\"63090688\", alpha=\"0.19\", expect_size=\"31545344\"] \n  38 -> 46 [size =\"31545344\"]\n  38 -> 47 [size =\"31545344\"]\n  38 -> 48 [size =\"31545344\"]\n  38 -> 49 [size =\"31545344\"]\n  38 -> 50 [size =\"31545344\"]\n  39 [size=\"25210880\", alpha=\"0.17\", expect_size=\"12605440\"] \n  39 -> 47 [size =\"12605440\"]\n  39 -> 47 [size =\"12605440\"]\n  39 -> 48 [size =\"12605440\"]\n  40 [size=\"68745216\", alpha=\"0.06\", expect_size=\"34372608\"] \n  40 -> 45 [size =\"34372608\"]\n  40 -> 46 [size =\"34372608\"]\n  40 -> 47 [size =\"34372608\"]\n  40 -> 48 [size =\"34372608\"]\n  41 [size=\"93095936\", alpha=\"0.07\", expect_size=\"46547968\"] \n  41 -> 46 [size =\"46547968\"]\n  41 -> 47 [size =\"46547968\"]\n  41 -> 48 [size =\"46547968\"]\n  41 -> 48 [size =\"46547968\"]\n  42 [size=\"60465152\", alpha=\"0.11\", expect_size=\"30232576\"] \n  42 -> 46 [size =\"30232576\"]\n  42 -> 47 [size =\"30232576\"]\n  43 [size=\"38807552\", alpha=\"0.06\", expect_size=\"19403776\"] \n  43 -> 46 [size =\"19403776\"]\n  43 -> 47 [size =\"19403776\"]\n  43 -> 48 [size =\"19403776\"]\n  44 [size=\"77989888\", alpha=\"0.01\", expect_size=\"38994944\"] \n  44 -> 45 [size =\"38994944\"]\n  44 -> 46 [size =\"38994944\"]\n  44 -> 48 [size =\"38994944\"]\n  44 -> 50 [size =\"38994944\"]\n  45 [size=\"11948032\", alpha=\"0.12\", expect_size=\"5974016\"] \n  46 [size=\"87855104\", alpha=\"0.14\", expect_size=\"43927552\"] \n  47 [size=\"98666496\", alpha=\"0.08\", expect_size=\"49333248\"] \n  48 [size=\"12564480\", alpha=\"0.09\", expect_size=\"6282240\"] \n  49 [size=\"103647232\", alpha=\"0.05\", expect_size=\"51823616\"] \n  50 [size=\"88524800\", alpha=\"0.06\", expect_size=\"44262400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.924.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"12113920\", alpha=\"0.00\", expect_size=\"6056960\"] \n  1 -> 34 [size =\"6056960\"]\n  1 -> 37 [size =\"6056960\"]\n  1 -> 38 [size =\"6056960\"]\n  1 -> 39 [size =\"6056960\"]\n  1 -> 44 [size =\"6056960\"]\n  1 -> 46 [size =\"6056960\"]\n  1 -> 50 [size =\"6056960\"]\n  2 [size=\"58681344\", alpha=\"0.04\", expect_size=\"29340672\"] \n  2 -> 34 [size =\"29340672\"]\n  2 -> 37 [size =\"29340672\"]\n  2 -> 38 [size =\"29340672\"]\n  2 -> 42 [size =\"29340672\"]\n  2 -> 44 [size =\"29340672\"]\n  2 -> 48 [size =\"29340672\"]\n  2 -> 50 [size =\"29340672\"]\n  3 [size=\"97953792\", alpha=\"0.05\", expect_size=\"48976896\"] \n  3 -> 34 [size =\"48976896\"]\n  3 -> 37 [size =\"48976896\"]\n  3 -> 42 [size =\"48976896\"]\n  3 -> 47 [size =\"48976896\"]\n  4 [size=\"46813184\", alpha=\"0.01\", expect_size=\"23406592\"] \n  4 -> 34 [size =\"23406592\"]\n  4 -> 35 [size =\"23406592\"]\n  4 -> 37 [size =\"23406592\"]\n  4 -> 41 [size =\"23406592\"]\n  4 -> 42 [size =\"23406592\"]\n  4 -> 45 [size =\"23406592\"]\n  5 [size=\"91940864\", alpha=\"0.02\", expect_size=\"45970432\"] \n  5 -> 34 [size =\"45970432\"]\n  5 -> 37 [size =\"45970432\"]\n  5 -> 37 [size =\"45970432\"]\n  5 -> 38 [size =\"45970432\"]\n  5 -> 42 [size =\"45970432\"]\n  5 -> 44 [size =\"45970432\"]\n  5 -> 47 [size =\"45970432\"]\n  5 -> 50 [size =\"45970432\"]\n  6 [size=\"11057152\", alpha=\"0.15\", expect_size=\"5528576\"] \n  6 -> 34 [size =\"5528576\"]\n  6 -> 37 [size =\"5528576\"]\n  6 -> 38 [size =\"5528576\"]\n  6 -> 38 [size =\"5528576\"]\n  6 -> 41 [size =\"5528576\"]\n  6 -> 42 [size =\"5528576\"]\n  6 -> 44 [size =\"5528576\"]\n  6 -> 47 [size =\"5528576\"]\n  7 [size=\"40038400\", alpha=\"0.16\", expect_size=\"20019200\"] \n  7 -> 34 [size =\"20019200\"]\n  7 -> 37 [size =\"20019200\"]\n  7 -> 38 [size =\"20019200\"]\n  7 -> 41 [size =\"20019200\"]\n  7 -> 41 [size =\"20019200\"]\n  7 -> 42 [size =\"20019200\"]\n  7 -> 43 [size =\"20019200\"]\n  7 -> 44 [size =\"20019200\"]\n  7 -> 45 [size =\"20019200\"]\n  7 -> 46 [size =\"20019200\"]\n  7 -> 47 [size =\"20019200\"]\n  7 -> 48 [size =\"20019200\"]\n  8 [size=\"16185344\", alpha=\"0.06\", expect_size=\"8092672\"] \n  8 -> 34 [size =\"8092672\"]\n  8 -> 37 [size =\"8092672\"]\n  8 -> 40 [size =\"8092672\"]\n  8 -> 41 [size =\"8092672\"]\n  8 -> 42 [size =\"8092672\"]\n  8 -> 42 [size =\"8092672\"]\n  8 -> 44 [size =\"8092672\"]\n  8 -> 45 [size =\"8092672\"]\n  8 -> 46 [size =\"8092672\"]\n  8 -> 48 [size =\"8092672\"]\n  9 [size=\"16093184\", alpha=\"0.05\", expect_size=\"8046592\"] \n  9 -> 34 [size =\"8046592\"]\n  9 -> 35 [size =\"8046592\"]\n  9 -> 37 [size =\"8046592\"]\n  9 -> 41 [size =\"8046592\"]\n  9 -> 45 [size =\"8046592\"]\n  9 -> 46 [size =\"8046592\"]\n  9 -> 49 [size =\"8046592\"]\n  10 [size=\"78112768\", alpha=\"0.17\", expect_size=\"39056384\"] \n  10 -> 34 [size =\"39056384\"]\n  10 -> 36 [size =\"39056384\"]\n  10 -> 41 [size =\"39056384\"]\n  10 -> 42 [size =\"39056384\"]\n  10 -> 48 [size =\"39056384\"]\n  10 -> 49 [size =\"39056384\"]\n  10 -> 50 [size =\"39056384\"]\n  11 [size=\"99508224\", alpha=\"0.03\", expect_size=\"49754112\"] \n  11 -> 41 [size =\"49754112\"]\n  11 -> 42 [size =\"49754112\"]\n  11 -> 44 [size =\"49754112\"]\n  11 -> 45 [size =\"49754112\"]\n  11 -> 47 [size =\"49754112\"]\n  11 -> 49 [size =\"49754112\"]\n  12 [size=\"100288512\", alpha=\"0.20\", expect_size=\"50144256\"] \n  12 -> 34 [size =\"50144256\"]\n  12 -> 38 [size =\"50144256\"]\n  12 -> 40 [size =\"50144256\"]\n  12 -> 41 [size =\"50144256\"]\n  12 -> 42 [size =\"50144256\"]\n  12 -> 43 [size =\"50144256\"]\n  12 -> 44 [size =\"50144256\"]\n  12 -> 46 [size =\"50144256\"]\n  12 -> 47 [size =\"50144256\"]\n  12 -> 50 [size =\"50144256\"]\n  13 [size=\"22454272\", alpha=\"0.09\", expect_size=\"11227136\"] \n  13 -> 41 [size =\"11227136\"]\n  13 -> 42 [size =\"11227136\"]\n  13 -> 45 [size =\"11227136\"]\n  13 -> 46 [size =\"11227136\"]\n  13 -> 47 [size =\"11227136\"]\n  13 -> 48 [size =\"11227136\"]\n  14 [size=\"45185024\", alpha=\"0.10\", expect_size=\"22592512\"] \n  14 -> 34 [size =\"22592512\"]\n  14 -> 38 [size =\"22592512\"]\n  14 -> 40 [size =\"22592512\"]\n  14 -> 41 [size =\"22592512\"]\n  14 -> 42 [size =\"22592512\"]\n  14 -> 43 [size =\"22592512\"]\n  14 -> 45 [size =\"22592512\"]\n  14 -> 49 [size =\"22592512\"]\n  15 [size=\"51548160\", alpha=\"0.06\", expect_size=\"25774080\"] \n  15 -> 34 [size =\"25774080\"]\n  15 -> 38 [size =\"25774080\"]\n  15 -> 40 [size =\"25774080\"]\n  15 -> 41 [size =\"25774080\"]\n  15 -> 42 [size =\"25774080\"]\n  15 -> 45 [size =\"25774080\"]\n  15 -> 50 [size =\"25774080\"]\n  16 [size=\"61405184\", alpha=\"0.17\", expect_size=\"30702592\"] \n  16 -> 38 [size =\"30702592\"]\n  16 -> 38 [size =\"30702592\"]\n  16 -> 39 [size =\"30702592\"]\n  16 -> 40 [size =\"30702592\"]\n  16 -> 41 [size =\"30702592\"]\n  16 -> 42 [size =\"30702592\"]\n  16 -> 44 [size =\"30702592\"]\n  16 -> 45 [size =\"30702592\"]\n  16 -> 49 [size =\"30702592\"]\n  16 -> 50 [size =\"30702592\"]\n  17 [size=\"36433920\", alpha=\"0.17\", expect_size=\"18216960\"] \n  17 -> 38 [size =\"18216960\"]\n  17 -> 41 [size =\"18216960\"]\n  17 -> 42 [size =\"18216960\"]\n  17 -> 43 [size =\"18216960\"]\n  17 -> 44 [size =\"18216960\"]\n  17 -> 45 [size =\"18216960\"]\n  17 -> 47 [size =\"18216960\"]\n  18 [size=\"17627136\", alpha=\"0.11\", expect_size=\"8813568\"] \n  18 -> 34 [size =\"8813568\"]\n  18 -> 38 [size =\"8813568\"]\n  18 -> 41 [size =\"8813568\"]\n  18 -> 42 [size =\"8813568\"]\n  18 -> 47 [size =\"8813568\"]\n  18 -> 48 [size =\"8813568\"]\n  18 -> 50 [size =\"8813568\"]\n  19 [size=\"47364096\", alpha=\"0.00\", expect_size=\"23682048\"] \n  19 -> 34 [size =\"23682048\"]\n  19 -> 35 [size =\"23682048\"]\n  19 -> 38 [size =\"23682048\"]\n  19 -> 40 [size =\"23682048\"]\n  19 -> 41 [size =\"23682048\"]\n  19 -> 42 [size =\"23682048\"]\n  19 -> 43 [size =\"23682048\"]\n  19 -> 44 [size =\"23682048\"]\n  19 -> 45 [size =\"23682048\"]\n  19 -> 47 [size =\"23682048\"]\n  19 -> 48 [size =\"23682048\"]\n  19 -> 50 [size =\"23682048\"]\n  20 [size=\"70608896\", alpha=\"0.17\", expect_size=\"35304448\"] \n  20 -> 37 [size =\"35304448\"]\n  20 -> 38 [size =\"35304448\"]\n  20 -> 40 [size =\"35304448\"]\n  20 -> 41 [size =\"35304448\"]\n  20 -> 41 [size =\"35304448\"]\n  20 -> 42 [size =\"35304448\"]\n  20 -> 45 [size =\"35304448\"]\n  20 -> 46 [size =\"35304448\"]\n  20 -> 47 [size =\"35304448\"]\n  20 -> 50 [size =\"35304448\"]\n  21 [size=\"55216128\", alpha=\"0.14\", expect_size=\"27608064\"] \n  21 -> 34 [size =\"27608064\"]\n  21 -> 37 [size =\"27608064\"]\n  21 -> 38 [size =\"27608064\"]\n  21 -> 42 [size =\"27608064\"]\n  21 -> 43 [size =\"27608064\"]\n  21 -> 44 [size =\"27608064\"]\n  21 -> 50 [size =\"27608064\"]\n  22 [size=\"68724736\", alpha=\"0.01\", expect_size=\"34362368\"] \n  22 -> 34 [size =\"34362368\"]\n  22 -> 37 [size =\"34362368\"]\n  22 -> 38 [size =\"34362368\"]\n  22 -> 40 [size =\"34362368\"]\n  22 -> 41 [size =\"34362368\"]\n  22 -> 42 [size =\"34362368\"]\n  22 -> 43 [size =\"34362368\"]\n  22 -> 44 [size =\"34362368\"]\n  22 -> 45 [size =\"34362368\"]\n  22 -> 46 [size =\"34362368\"]\n  22 -> 50 [size =\"34362368\"]\n  23 [size=\"67457024\", alpha=\"0.07\", expect_size=\"33728512\"] \n  23 -> 34 [size =\"33728512\"]\n  23 -> 35 [size =\"33728512\"]\n  23 -> 37 [size =\"33728512\"]\n  23 -> 41 [size =\"33728512\"]\n  23 -> 42 [size =\"33728512\"]\n  23 -> 44 [size =\"33728512\"]\n  23 -> 45 [size =\"33728512\"]\n  23 -> 48 [size =\"33728512\"]\n  23 -> 50 [size =\"33728512\"]\n  24 [size=\"16990208\", alpha=\"0.00\", expect_size=\"8495104\"] \n  24 -> 34 [size =\"8495104\"]\n  24 -> 35 [size =\"8495104\"]\n  24 -> 37 [size =\"8495104\"]\n  24 -> 40 [size =\"8495104\"]\n  24 -> 41 [size =\"8495104\"]\n  24 -> 42 [size =\"8495104\"]\n  24 -> 44 [size =\"8495104\"]\n  24 -> 45 [size =\"8495104\"]\n  24 -> 49 [size =\"8495104\"]\n  24 -> 50 [size =\"8495104\"]\n  25 [size=\"62408704\", alpha=\"0.11\", expect_size=\"31204352\"] \n  25 -> 41 [size =\"31204352\"]\n  25 -> 42 [size =\"31204352\"]\n  25 -> 43 [size =\"31204352\"]\n  25 -> 44 [size =\"31204352\"]\n  25 -> 45 [size =\"31204352\"]\n  25 -> 46 [size =\"31204352\"]\n  25 -> 48 [size =\"31204352\"]\n  25 -> 49 [size =\"31204352\"]\n  25 -> 50 [size =\"31204352\"]\n  26 [size=\"88944640\", alpha=\"0.01\", expect_size=\"44472320\"] \n  26 -> 37 [size =\"44472320\"]\n  26 -> 38 [size =\"44472320\"]\n  26 -> 41 [size =\"44472320\"]\n  26 -> 44 [size =\"44472320\"]\n  26 -> 45 [size =\"44472320\"]\n  26 -> 48 [size =\"44472320\"]\n  26 -> 49 [size =\"44472320\"]\n  26 -> 50 [size =\"44472320\"]\n  27 [size=\"75450368\", alpha=\"0.18\", expect_size=\"37725184\"] \n  27 -> 34 [size =\"37725184\"]\n  27 -> 35 [size =\"37725184\"]\n  27 -> 37 [size =\"37725184\"]\n  27 -> 39 [size =\"37725184\"]\n  27 -> 41 [size =\"37725184\"]\n  27 -> 43 [size =\"37725184\"]\n  27 -> 44 [size =\"37725184\"]\n  27 -> 45 [size =\"37725184\"]\n  27 -> 46 [size =\"37725184\"]\n  27 -> 50 [size =\"37725184\"]\n  28 [size=\"58980352\", alpha=\"0.17\", expect_size=\"29490176\"] \n  28 -> 35 [size =\"29490176\"]\n  28 -> 35 [size =\"29490176\"]\n  28 -> 37 [size =\"29490176\"]\n  28 -> 41 [size =\"29490176\"]\n  28 -> 45 [size =\"29490176\"]\n  28 -> 50 [size =\"29490176\"]\n  29 [size=\"14653440\", alpha=\"0.16\", expect_size=\"7326720\"] \n  29 -> 34 [size =\"7326720\"]\n  29 -> 37 [size =\"7326720\"]\n  29 -> 42 [size =\"7326720\"]\n  29 -> 44 [size =\"7326720\"]\n  29 -> 45 [size =\"7326720\"]\n  30 [size=\"16435200\", alpha=\"0.10\", expect_size=\"8217600\"] \n  30 -> 37 [size =\"8217600\"]\n  30 -> 38 [size =\"8217600\"]\n  30 -> 39 [size =\"8217600\"]\n  30 -> 41 [size =\"8217600\"]\n  30 -> 42 [size =\"8217600\"]\n  30 -> 45 [size =\"8217600\"]\n  30 -> 50 [size =\"8217600\"]\n  31 [size=\"96401408\", alpha=\"0.02\", expect_size=\"48200704\"] \n  31 -> 35 [size =\"48200704\"]\n  31 -> 37 [size =\"48200704\"]\n  31 -> 38 [size =\"48200704\"]\n  31 -> 39 [size =\"48200704\"]\n  31 -> 41 [size =\"48200704\"]\n  31 -> 42 [size =\"48200704\"]\n  31 -> 43 [size =\"48200704\"]\n  31 -> 45 [size =\"48200704\"]\n  31 -> 46 [size =\"48200704\"]\n  31 -> 47 [size =\"48200704\"]\n  31 -> 50 [size =\"48200704\"]\n  32 [size=\"67440640\", alpha=\"0.14\", expect_size=\"33720320\"] \n  32 -> 34 [size =\"33720320\"]\n  32 -> 35 [size =\"33720320\"]\n  32 -> 37 [size =\"33720320\"]\n  32 -> 38 [size =\"33720320\"]\n  32 -> 41 [size =\"33720320\"]\n  32 -> 42 [size =\"33720320\"]\n  32 -> 43 [size =\"33720320\"]\n  32 -> 44 [size =\"33720320\"]\n  32 -> 45 [size =\"33720320\"]\n  32 -> 46 [size =\"33720320\"]\n  32 -> 50 [size =\"33720320\"]\n  33 [size=\"72120320\", alpha=\"0.08\", expect_size=\"36060160\"] \n  33 -> 34 [size =\"36060160\"]\n  33 -> 37 [size =\"36060160\"]\n  33 -> 37 [size =\"36060160\"]\n  33 -> 38 [size =\"36060160\"]\n  33 -> 40 [size =\"36060160\"]\n  33 -> 42 [size =\"36060160\"]\n  33 -> 43 [size =\"36060160\"]\n  33 -> 45 [size =\"36060160\"]\n  33 -> 45 [size =\"36060160\"]\n  33 -> 46 [size =\"36060160\"]\n  33 -> 49 [size =\"36060160\"]\n  33 -> 50 [size =\"36060160\"]\n  34 [size=\"103538688\", alpha=\"0.10\", expect_size=\"51769344\"] \n  35 [size=\"103653376\", alpha=\"0.20\", expect_size=\"51826688\"] \n  36 [size=\"59547648\", alpha=\"0.01\", expect_size=\"29773824\"] \n  37 [size=\"66164736\", alpha=\"0.08\", expect_size=\"33082368\"] \n  38 [size=\"58687488\", alpha=\"0.16\", expect_size=\"29343744\"] \n  39 [size=\"42817536\", alpha=\"0.11\", expect_size=\"21408768\"] \n  40 [size=\"24158208\", alpha=\"0.00\", expect_size=\"12079104\"] \n  41 [size=\"70342656\", alpha=\"0.18\", expect_size=\"35171328\"] \n  42 [size=\"81647616\", alpha=\"0.09\", expect_size=\"40823808\"] \n  43 [size=\"53504000\", alpha=\"0.11\", expect_size=\"26752000\"] \n  44 [size=\"92256256\", alpha=\"0.15\", expect_size=\"46128128\"] \n  45 [size=\"43859968\", alpha=\"0.10\", expect_size=\"21929984\"] \n  46 [size=\"43749376\", alpha=\"0.01\", expect_size=\"21874688\"] \n  47 [size=\"48476160\", alpha=\"0.07\", expect_size=\"24238080\"] \n  48 [size=\"83988480\", alpha=\"0.02\", expect_size=\"41994240\"] \n  49 [size=\"63055872\", alpha=\"0.18\", expect_size=\"31527936\"] \n  50 [size=\"22558720\", alpha=\"0.16\", expect_size=\"11279360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.925.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93265920\", alpha=\"0.01\", expect_size=\"46632960\"] \n  1 -> 18 [size =\"46632960\"]\n  1 -> 22 [size =\"46632960\"]\n  1 -> 25 [size =\"46632960\"]\n  1 -> 26 [size =\"46632960\"]\n  1 -> 27 [size =\"46632960\"]\n  2 [size=\"35639296\", alpha=\"0.13\", expect_size=\"17819648\"] \n  2 -> 19 [size =\"17819648\"]\n  2 -> 20 [size =\"17819648\"]\n  2 -> 22 [size =\"17819648\"]\n  2 -> 24 [size =\"17819648\"]\n  2 -> 25 [size =\"17819648\"]\n  3 [size=\"35170304\", alpha=\"0.16\", expect_size=\"17585152\"] \n  3 -> 16 [size =\"17585152\"]\n  3 -> 17 [size =\"17585152\"]\n  3 -> 20 [size =\"17585152\"]\n  3 -> 23 [size =\"17585152\"]\n  3 -> 26 [size =\"17585152\"]\n  4 [size=\"74035200\", alpha=\"0.14\", expect_size=\"37017600\"] \n  4 -> 15 [size =\"37017600\"]\n  4 -> 21 [size =\"37017600\"]\n  4 -> 22 [size =\"37017600\"]\n  4 -> 23 [size =\"37017600\"]\n  4 -> 24 [size =\"37017600\"]\n  4 -> 26 [size =\"37017600\"]\n  5 [size=\"102109184\", alpha=\"0.19\", expect_size=\"51054592\"] \n  5 -> 20 [size =\"51054592\"]\n  5 -> 25 [size =\"51054592\"]\n  6 [size=\"16463872\", alpha=\"0.02\", expect_size=\"8231936\"] \n  6 -> 19 [size =\"8231936\"]\n  6 -> 20 [size =\"8231936\"]\n  6 -> 24 [size =\"8231936\"]\n  6 -> 25 [size =\"8231936\"]\n  6 -> 26 [size =\"8231936\"]\n  7 [size=\"77662208\", alpha=\"0.13\", expect_size=\"38831104\"] \n  8 [size=\"36972544\", alpha=\"0.08\", expect_size=\"18486272\"] \n  8 -> 19 [size =\"18486272\"]\n  8 -> 20 [size =\"18486272\"]\n  8 -> 25 [size =\"18486272\"]\n  9 [size=\"52011008\", alpha=\"0.11\", expect_size=\"26005504\"] \n  9 -> 16 [size =\"26005504\"]\n  9 -> 24 [size =\"26005504\"]\n  9 -> 26 [size =\"26005504\"]\n  9 -> 27 [size =\"26005504\"]\n  10 [size=\"81199104\", alpha=\"0.14\", expect_size=\"40599552\"] \n  10 -> 17 [size =\"40599552\"]\n  10 -> 22 [size =\"40599552\"]\n  10 -> 23 [size =\"40599552\"]\n  10 -> 27 [size =\"40599552\"]\n  11 [size=\"29171712\", alpha=\"0.13\", expect_size=\"14585856\"] \n  11 -> 24 [size =\"14585856\"]\n  11 -> 25 [size =\"14585856\"]\n  11 -> 26 [size =\"14585856\"]\n  12 [size=\"35588096\", alpha=\"0.14\", expect_size=\"17794048\"] \n  12 -> 24 [size =\"17794048\"]\n  12 -> 25 [size =\"17794048\"]\n  12 -> 27 [size =\"17794048\"]\n  13 [size=\"97013760\", alpha=\"0.18\", expect_size=\"48506880\"] \n  13 -> 20 [size =\"48506880\"]\n  13 -> 27 [size =\"48506880\"]\n  14 [size=\"80201728\", alpha=\"0.15\", expect_size=\"40100864\"] \n  14 -> 18 [size =\"40100864\"]\n  14 -> 22 [size =\"40100864\"]\n  14 -> 27 [size =\"40100864\"]\n  15 [size=\"54032384\", alpha=\"0.15\", expect_size=\"27016192\"] \n  15 -> 29 [size =\"27016192\"]\n  15 -> 31 [size =\"27016192\"]\n  15 -> 39 [size =\"27016192\"]\n  16 [size=\"50841600\", alpha=\"0.04\", expect_size=\"25420800\"] \n  16 -> 34 [size =\"25420800\"]\n  16 -> 37 [size =\"25420800\"]\n  17 [size=\"58501120\", alpha=\"0.10\", expect_size=\"29250560\"] \n  17 -> 28 [size =\"29250560\"]\n  17 -> 29 [size =\"29250560\"]\n  17 -> 31 [size =\"29250560\"]\n  17 -> 33 [size =\"29250560\"]\n  17 -> 35 [size =\"29250560\"]\n  17 -> 36 [size =\"29250560\"]\n  17 -> 38 [size =\"29250560\"]\n  17 -> 39 [size =\"29250560\"]\n  18 [size=\"27224064\", alpha=\"0.00\", expect_size=\"13612032\"] \n  18 -> 29 [size =\"13612032\"]\n  18 -> 32 [size =\"13612032\"]\n  18 -> 33 [size =\"13612032\"]\n  18 -> 35 [size =\"13612032\"]\n  18 -> 36 [size =\"13612032\"]\n  19 [size=\"63492096\", alpha=\"0.07\", expect_size=\"31746048\"] \n  19 -> 32 [size =\"31746048\"]\n  19 -> 34 [size =\"31746048\"]\n  19 -> 40 [size =\"31746048\"]\n  20 [size=\"22476800\", alpha=\"0.15\", expect_size=\"11238400\"] \n  20 -> 30 [size =\"11238400\"]\n  20 -> 32 [size =\"11238400\"]\n  20 -> 38 [size =\"11238400\"]\n  20 -> 40 [size =\"11238400\"]\n  21 [size=\"87392256\", alpha=\"0.00\", expect_size=\"43696128\"] \n  21 -> 29 [size =\"43696128\"]\n  21 -> 31 [size =\"43696128\"]\n  21 -> 37 [size =\"43696128\"]\n  21 -> 39 [size =\"43696128\"]\n  22 [size=\"53424128\", alpha=\"0.11\", expect_size=\"26712064\"] \n  22 -> 29 [size =\"26712064\"]\n  22 -> 32 [size =\"26712064\"]\n  22 -> 35 [size =\"26712064\"]\n  22 -> 39 [size =\"26712064\"]\n  23 [size=\"22996992\", alpha=\"0.07\", expect_size=\"11498496\"] \n  23 -> 31 [size =\"11498496\"]\n  23 -> 32 [size =\"11498496\"]\n  23 -> 35 [size =\"11498496\"]\n  23 -> 37 [size =\"11498496\"]\n  23 -> 38 [size =\"11498496\"]\n  24 [size=\"12228608\", alpha=\"0.17\", expect_size=\"6114304\"] \n  24 -> 32 [size =\"6114304\"]\n  24 -> 39 [size =\"6114304\"]\n  25 [size=\"81283072\", alpha=\"0.06\", expect_size=\"40641536\"] \n  25 -> 33 [size =\"40641536\"]\n  25 -> 35 [size =\"40641536\"]\n  25 -> 38 [size =\"40641536\"]\n  26 [size=\"59168768\", alpha=\"0.16\", expect_size=\"29584384\"] \n  26 -> 31 [size =\"29584384\"]\n  26 -> 32 [size =\"29584384\"]\n  26 -> 35 [size =\"29584384\"]\n  26 -> 36 [size =\"29584384\"]\n  26 -> 38 [size =\"29584384\"]\n  27 [size=\"80205824\", alpha=\"0.00\", expect_size=\"40102912\"] \n  27 -> 31 [size =\"40102912\"]\n  27 -> 33 [size =\"40102912\"]\n  28 [size=\"35373056\", alpha=\"0.10\", expect_size=\"17686528\"] \n  28 -> 47 [size =\"17686528\"]\n  29 [size=\"35696640\", alpha=\"0.09\", expect_size=\"17848320\"] \n  29 -> 44 [size =\"17848320\"]\n  29 -> 46 [size =\"17848320\"]\n  30 [size=\"68499456\", alpha=\"0.03\", expect_size=\"34249728\"] \n  30 -> 41 [size =\"34249728\"]\n  30 -> 42 [size =\"34249728\"]\n  30 -> 44 [size =\"34249728\"]\n  30 -> 46 [size =\"34249728\"]\n  31 [size=\"44447744\", alpha=\"0.01\", expect_size=\"22223872\"] \n  31 -> 47 [size =\"22223872\"]\n  31 -> 49 [size =\"22223872\"]\n  32 [size=\"46325760\", alpha=\"0.04\", expect_size=\"23162880\"] \n  32 -> 49 [size =\"23162880\"]\n  32 -> 50 [size =\"23162880\"]\n  33 [size=\"99284992\", alpha=\"0.06\", expect_size=\"49642496\"] \n  33 -> 41 [size =\"49642496\"]\n  33 -> 42 [size =\"49642496\"]\n  33 -> 43 [size =\"49642496\"]\n  33 -> 49 [size =\"49642496\"]\n  33 -> 50 [size =\"49642496\"]\n  34 [size=\"39268352\", alpha=\"0.02\", expect_size=\"19634176\"] \n  34 -> 43 [size =\"19634176\"]\n  34 -> 44 [size =\"19634176\"]\n  35 [size=\"24197120\", alpha=\"0.07\", expect_size=\"12098560\"] \n  35 -> 42 [size =\"12098560\"]\n  35 -> 43 [size =\"12098560\"]\n  36 [size=\"51326976\", alpha=\"0.01\", expect_size=\"25663488\"] \n  36 -> 41 [size =\"25663488\"]\n  36 -> 43 [size =\"25663488\"]\n  36 -> 46 [size =\"25663488\"]\n  36 -> 48 [size =\"25663488\"]\n  36 -> 49 [size =\"25663488\"]\n  37 [size=\"32260096\", alpha=\"0.06\", expect_size=\"16130048\"] \n  37 -> 41 [size =\"16130048\"]\n  37 -> 43 [size =\"16130048\"]\n  37 -> 46 [size =\"16130048\"]\n  38 [size=\"34177024\", alpha=\"0.13\", expect_size=\"17088512\"] \n  38 -> 43 [size =\"17088512\"]\n  38 -> 47 [size =\"17088512\"]\n  39 [size=\"83566592\", alpha=\"0.12\", expect_size=\"41783296\"] \n  39 -> 41 [size =\"41783296\"]\n  39 -> 46 [size =\"41783296\"]\n  39 -> 48 [size =\"41783296\"]\n  39 -> 50 [size =\"41783296\"]\n  40 [size=\"33210368\", alpha=\"0.14\", expect_size=\"16605184\"] \n  40 -> 41 [size =\"16605184\"]\n  40 -> 45 [size =\"16605184\"]\n  40 -> 50 [size =\"16605184\"]\n  40 -> 50 [size =\"16605184\"]\n  41 [size=\"48193536\", alpha=\"0.12\", expect_size=\"24096768\"] \n  42 [size=\"52834304\", alpha=\"0.18\", expect_size=\"26417152\"] \n  43 [size=\"72232960\", alpha=\"0.08\", expect_size=\"36116480\"] \n  44 [size=\"98549760\", alpha=\"0.18\", expect_size=\"49274880\"] \n  45 [size=\"12754944\", alpha=\"0.03\", expect_size=\"6377472\"] \n  46 [size=\"47142912\", alpha=\"0.18\", expect_size=\"23571456\"] \n  47 [size=\"53323776\", alpha=\"0.08\", expect_size=\"26661888\"] \n  48 [size=\"79316992\", alpha=\"0.04\", expect_size=\"39658496\"] \n  49 [size=\"47486976\", alpha=\"0.04\", expect_size=\"23743488\"] \n  50 [size=\"10842112\", alpha=\"0.17\", expect_size=\"5421056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.926.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110475947\", alpha=\"0.02\", expect_size=\"33142784\"] \n  1 -> 3 [size =\"33142784\"]\n  1 -> 4 [size =\"33142784\"]\n  2 [size=\"22435840\", alpha=\"0.04\", expect_size=\"6730752\"] \n  2 -> 3 [size =\"6730752\"]\n  3 [size=\"77690880\", alpha=\"0.12\", expect_size=\"23307264\"] \n  3 -> 5 [size =\"23307264\"]\n  3 -> 6 [size =\"23307264\"]\n  4 [size=\"167478613\", alpha=\"0.13\", expect_size=\"50243584\"] \n  4 -> 6 [size =\"50243584\"]\n  5 [size=\"69328213\", alpha=\"0.04\", expect_size=\"20798464\"] \n  5 -> 7 [size =\"20798464\"]\n  5 -> 8 [size =\"20798464\"]\n  5 -> 9 [size =\"20798464\"]\n  6 [size=\"28586667\", alpha=\"0.10\", expect_size=\"8576000\"] \n  6 -> 7 [size =\"8576000\"]\n  6 -> 8 [size =\"8576000\"]\n  7 [size=\"83862187\", alpha=\"0.06\", expect_size=\"25158656\"] \n  7 -> 11 [size =\"25158656\"]\n  7 -> 12 [size =\"25158656\"]\n  8 [size=\"48363520\", alpha=\"0.19\", expect_size=\"14509056\"] \n  8 -> 11 [size =\"14509056\"]\n  8 -> 12 [size =\"14509056\"]\n  9 [size=\"169400320\", alpha=\"0.11\", expect_size=\"50820096\"] \n  9 -> 10 [size =\"50820096\"]\n  9 -> 11 [size =\"50820096\"]\n  9 -> 12 [size =\"50820096\"]\n  10 [size=\"141909333\", alpha=\"0.08\", expect_size=\"42572800\"] \n  10 -> 13 [size =\"42572800\"]\n  10 -> 14 [size =\"42572800\"]\n  11 [size=\"122466987\", alpha=\"0.02\", expect_size=\"36740096\"] \n  11 -> 13 [size =\"36740096\"]\n  12 [size=\"138939733\", alpha=\"0.04\", expect_size=\"41681920\"] \n  12 -> 13 [size =\"41681920\"]\n  12 -> 14 [size =\"41681920\"]\n  13 [size=\"174178987\", alpha=\"0.19\", expect_size=\"52253696\"] \n  13 -> 15 [size =\"52253696\"]\n  13 -> 16 [size =\"52253696\"]\n  14 [size=\"112339627\", alpha=\"0.15\", expect_size=\"33701888\"] \n  14 -> 15 [size =\"33701888\"]\n  14 -> 16 [size =\"33701888\"]\n  15 [size=\"54019413\", alpha=\"0.15\", expect_size=\"16205824\"] \n  15 -> 17 [size =\"16205824\"]\n  15 -> 18 [size =\"16205824\"]\n  16 [size=\"87644160\", alpha=\"0.02\", expect_size=\"26293248\"] \n  17 [size=\"166065493\", alpha=\"0.03\", expect_size=\"49819648\"] \n  17 -> 19 [size =\"49819648\"]\n  17 -> 20 [size =\"49819648\"]\n  17 -> 21 [size =\"49819648\"]\n  18 [size=\"57951573\", alpha=\"0.04\", expect_size=\"17385472\"] \n  18 -> 19 [size =\"17385472\"]\n  18 -> 21 [size =\"17385472\"]\n  19 [size=\"46902613\", alpha=\"0.12\", expect_size=\"14070784\"] \n  19 -> 22 [size =\"14070784\"]\n  19 -> 23 [size =\"14070784\"]\n  20 [size=\"135447893\", alpha=\"0.01\", expect_size=\"40634368\"] \n  20 -> 23 [size =\"40634368\"]\n  21 [size=\"41908907\", alpha=\"0.01\", expect_size=\"12572672\"] \n  21 -> 23 [size =\"12572672\"]\n  21 -> 24 [size =\"12572672\"]\n  22 [size=\"54927360\", alpha=\"0.02\", expect_size=\"16478208\"] \n  22 -> 25 [size =\"16478208\"]\n  22 -> 27 [size =\"16478208\"]\n  23 [size=\"85773653\", alpha=\"0.11\", expect_size=\"25732096\"] \n  23 -> 25 [size =\"25732096\"]\n  23 -> 26 [size =\"25732096\"]\n  23 -> 27 [size =\"25732096\"]\n  24 [size=\"78602240\", alpha=\"0.19\", expect_size=\"23580672\"] \n  24 -> 25 [size =\"23580672\"]\n  24 -> 26 [size =\"23580672\"]\n  24 -> 27 [size =\"23580672\"]\n  25 [size=\"36389547\", alpha=\"0.13\", expect_size=\"10916864\"] \n  25 -> 28 [size =\"10916864\"]\n  26 [size=\"151644160\", alpha=\"0.09\", expect_size=\"45493248\"] \n  26 -> 28 [size =\"45493248\"]\n  27 [size=\"171021653\", alpha=\"0.14\", expect_size=\"51306496\"] \n  27 -> 28 [size =\"51306496\"]\n  27 -> 29 [size =\"51306496\"]\n  28 [size=\"38400000\", alpha=\"0.02\", expect_size=\"11520000\"] \n  28 -> 30 [size =\"11520000\"]\n  28 -> 31 [size =\"11520000\"]\n  28 -> 32 [size =\"11520000\"]\n  29 [size=\"72400213\", alpha=\"0.09\", expect_size=\"21720064\"] \n  29 -> 30 [size =\"21720064\"]\n  29 -> 31 [size =\"21720064\"]\n  29 -> 32 [size =\"21720064\"]\n  30 [size=\"166297600\", alpha=\"0.13\", expect_size=\"49889280\"] \n  30 -> 33 [size =\"49889280\"]\n  30 -> 34 [size =\"49889280\"]\n  30 -> 35 [size =\"49889280\"]\n  31 [size=\"171229867\", alpha=\"0.10\", expect_size=\"51368960\"] \n  31 -> 33 [size =\"51368960\"]\n  31 -> 34 [size =\"51368960\"]\n  32 [size=\"22913707\", alpha=\"0.02\", expect_size=\"6874112\"] \n  32 -> 33 [size =\"6874112\"]\n  32 -> 34 [size =\"6874112\"]\n  32 -> 35 [size =\"6874112\"]\n  33 [size=\"40878080\", alpha=\"0.14\", expect_size=\"12263424\"] \n  33 -> 36 [size =\"12263424\"]\n  34 [size=\"128061440\", alpha=\"0.18\", expect_size=\"38418432\"] \n  34 -> 36 [size =\"38418432\"]\n  35 [size=\"119889920\", alpha=\"0.07\", expect_size=\"35966976\"] \n  35 -> 36 [size =\"35966976\"]\n  35 -> 37 [size =\"35966976\"]\n  36 [size=\"68222293\", alpha=\"0.05\", expect_size=\"20466688\"] \n  36 -> 38 [size =\"20466688\"]\n  36 -> 39 [size =\"20466688\"]\n  36 -> 40 [size =\"20466688\"]\n  37 [size=\"141451947\", alpha=\"0.01\", expect_size=\"42435584\"] \n  37 -> 38 [size =\"42435584\"]\n  37 -> 39 [size =\"42435584\"]\n  37 -> 40 [size =\"42435584\"]\n  38 [size=\"91395413\", alpha=\"0.03\", expect_size=\"27418624\"] \n  38 -> 41 [size =\"27418624\"]\n  38 -> 42 [size =\"27418624\"]\n  39 [size=\"106226347\", alpha=\"0.09\", expect_size=\"31867904\"] \n  39 -> 41 [size =\"31867904\"]\n  39 -> 42 [size =\"31867904\"]\n  40 [size=\"23299413\", alpha=\"0.09\", expect_size=\"6989824\"] \n  40 -> 41 [size =\"6989824\"]\n  40 -> 42 [size =\"6989824\"]\n  40 -> 43 [size =\"6989824\"]\n  41 [size=\"124337493\", alpha=\"0.13\", expect_size=\"37301248\"] \n  41 -> 44 [size =\"37301248\"]\n  41 -> 45 [size =\"37301248\"]\n  42 [size=\"42465280\", alpha=\"0.01\", expect_size=\"12739584\"] \n  43 [size=\"56446293\", alpha=\"0.18\", expect_size=\"16933888\"] \n  43 -> 45 [size =\"16933888\"]\n  44 [size=\"165690027\", alpha=\"0.03\", expect_size=\"49707008\"] \n  44 -> 46 [size =\"49707008\"]\n  44 -> 48 [size =\"49707008\"]\n  45 [size=\"150493867\", alpha=\"0.10\", expect_size=\"45148160\"] \n  45 -> 46 [size =\"45148160\"]\n  45 -> 47 [size =\"45148160\"]\n  45 -> 48 [size =\"45148160\"]\n  46 [size=\"47400960\", alpha=\"0.15\", expect_size=\"14220288\"] \n  46 -> 50 [size =\"14220288\"]\n  47 [size=\"83869013\", alpha=\"0.19\", expect_size=\"25160704\"] \n  48 [size=\"93917867\", alpha=\"0.05\", expect_size=\"28175360\"] \n  48 -> 49 [size =\"28175360\"]\n  49 [size=\"118022827\", alpha=\"0.19\", expect_size=\"35406848\"] \n  50 [size=\"28323840\", alpha=\"0.11\", expect_size=\"8497152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.927.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"85460480\", alpha=\"0.10\", expect_size=\"34184192\"] \n  1 -> 19 [size =\"34184192\"]\n  1 -> 22 [size =\"34184192\"]\n  1 -> 22 [size =\"34184192\"]\n  1 -> 23 [size =\"34184192\"]\n  1 -> 25 [size =\"34184192\"]\n  1 -> 28 [size =\"34184192\"]\n  2 [size=\"124756480\", alpha=\"0.10\", expect_size=\"49902592\"] \n  2 -> 18 [size =\"49902592\"]\n  2 -> 19 [size =\"49902592\"]\n  2 -> 22 [size =\"49902592\"]\n  2 -> 25 [size =\"49902592\"]\n  2 -> 27 [size =\"49902592\"]\n  2 -> 28 [size =\"49902592\"]\n  3 [size=\"48376320\", alpha=\"0.19\", expect_size=\"19350528\"] \n  3 -> 16 [size =\"19350528\"]\n  3 -> 17 [size =\"19350528\"]\n  3 -> 18 [size =\"19350528\"]\n  3 -> 22 [size =\"19350528\"]\n  3 -> 24 [size =\"19350528\"]\n  4 [size=\"116879360\", alpha=\"0.11\", expect_size=\"46751744\"] \n  4 -> 16 [size =\"46751744\"]\n  4 -> 18 [size =\"46751744\"]\n  4 -> 18 [size =\"46751744\"]\n  4 -> 22 [size =\"46751744\"]\n  4 -> 23 [size =\"46751744\"]\n  4 -> 24 [size =\"46751744\"]\n  4 -> 25 [size =\"46751744\"]\n  4 -> 28 [size =\"46751744\"]\n  4 -> 29 [size =\"46751744\"]\n  5 [size=\"36241920\", alpha=\"0.15\", expect_size=\"14496768\"] \n  5 -> 16 [size =\"14496768\"]\n  5 -> 17 [size =\"14496768\"]\n  5 -> 18 [size =\"14496768\"]\n  5 -> 22 [size =\"14496768\"]\n  5 -> 24 [size =\"14496768\"]\n  5 -> 25 [size =\"14496768\"]\n  5 -> 26 [size =\"14496768\"]\n  5 -> 28 [size =\"14496768\"]\n  6 [size=\"37765120\", alpha=\"0.16\", expect_size=\"15106048\"] \n  6 -> 17 [size =\"15106048\"]\n  6 -> 20 [size =\"15106048\"]\n  6 -> 22 [size =\"15106048\"]\n  6 -> 22 [size =\"15106048\"]\n  6 -> 23 [size =\"15106048\"]\n  6 -> 24 [size =\"15106048\"]\n  6 -> 25 [size =\"15106048\"]\n  6 -> 28 [size =\"15106048\"]\n  6 -> 29 [size =\"15106048\"]\n  7 [size=\"74549760\", alpha=\"0.12\", expect_size=\"29819904\"] \n  7 -> 16 [size =\"29819904\"]\n  7 -> 19 [size =\"29819904\"]\n  7 -> 22 [size =\"29819904\"]\n  7 -> 23 [size =\"29819904\"]\n  7 -> 23 [size =\"29819904\"]\n  7 -> 24 [size =\"29819904\"]\n  7 -> 28 [size =\"29819904\"]\n  8 [size=\"95093760\", alpha=\"0.13\", expect_size=\"38037504\"] \n  8 -> 17 [size =\"38037504\"]\n  8 -> 19 [size =\"38037504\"]\n  8 -> 24 [size =\"38037504\"]\n  8 -> 25 [size =\"38037504\"]\n  8 -> 28 [size =\"38037504\"]\n  8 -> 29 [size =\"38037504\"]\n  9 [size=\"49262080\", alpha=\"0.11\", expect_size=\"19704832\"] \n  9 -> 16 [size =\"19704832\"]\n  9 -> 18 [size =\"19704832\"]\n  9 -> 19 [size =\"19704832\"]\n  9 -> 22 [size =\"19704832\"]\n  9 -> 24 [size =\"19704832\"]\n  9 -> 25 [size =\"19704832\"]\n  9 -> 28 [size =\"19704832\"]\n  9 -> 29 [size =\"19704832\"]\n  10 [size=\"18808320\", alpha=\"0.07\", expect_size=\"7523328\"] \n  10 -> 16 [size =\"7523328\"]\n  10 -> 23 [size =\"7523328\"]\n  10 -> 24 [size =\"7523328\"]\n  10 -> 28 [size =\"7523328\"]\n  11 [size=\"104698880\", alpha=\"0.04\", expect_size=\"41879552\"] \n  11 -> 16 [size =\"41879552\"]\n  11 -> 17 [size =\"41879552\"]\n  11 -> 19 [size =\"41879552\"]\n  11 -> 22 [size =\"41879552\"]\n  11 -> 23 [size =\"41879552\"]\n  11 -> 24 [size =\"41879552\"]\n  11 -> 25 [size =\"41879552\"]\n  11 -> 28 [size =\"41879552\"]\n  11 -> 29 [size =\"41879552\"]\n  12 [size=\"47011840\", alpha=\"0.09\", expect_size=\"18804736\"] \n  12 -> 16 [size =\"18804736\"]\n  12 -> 17 [size =\"18804736\"]\n  12 -> 18 [size =\"18804736\"]\n  12 -> 19 [size =\"18804736\"]\n  12 -> 21 [size =\"18804736\"]\n  12 -> 22 [size =\"18804736\"]\n  12 -> 23 [size =\"18804736\"]\n  12 -> 24 [size =\"18804736\"]\n  12 -> 25 [size =\"18804736\"]\n  12 -> 28 [size =\"18804736\"]\n  12 -> 29 [size =\"18804736\"]\n  13 [size=\"104640000\", alpha=\"0.16\", expect_size=\"41856000\"] \n  13 -> 16 [size =\"41856000\"]\n  13 -> 17 [size =\"41856000\"]\n  13 -> 19 [size =\"41856000\"]\n  13 -> 24 [size =\"41856000\"]\n  13 -> 25 [size =\"41856000\"]\n  13 -> 28 [size =\"41856000\"]\n  14 [size=\"95920640\", alpha=\"0.13\", expect_size=\"38368256\"] \n  14 -> 17 [size =\"38368256\"]\n  14 -> 19 [size =\"38368256\"]\n  14 -> 19 [size =\"38368256\"]\n  14 -> 23 [size =\"38368256\"]\n  14 -> 24 [size =\"38368256\"]\n  14 -> 25 [size =\"38368256\"]\n  15 [size=\"44065280\", alpha=\"0.05\", expect_size=\"17626112\"] \n  15 -> 16 [size =\"17626112\"]\n  15 -> 19 [size =\"17626112\"]\n  15 -> 22 [size =\"17626112\"]\n  15 -> 24 [size =\"17626112\"]\n  15 -> 25 [size =\"17626112\"]\n  15 -> 27 [size =\"17626112\"]\n  15 -> 28 [size =\"17626112\"]\n  16 [size=\"13240320\", alpha=\"0.20\", expect_size=\"5296128\"] \n  16 -> 30 [size =\"5296128\"]\n  16 -> 33 [size =\"5296128\"]\n  16 -> 34 [size =\"5296128\"]\n  16 -> 38 [size =\"5296128\"]\n  16 -> 40 [size =\"5296128\"]\n  16 -> 41 [size =\"5296128\"]\n  16 -> 43 [size =\"5296128\"]\n  16 -> 45 [size =\"5296128\"]\n  16 -> 45 [size =\"5296128\"]\n  17 [size=\"107409920\", alpha=\"0.15\", expect_size=\"42963968\"] \n  17 -> 32 [size =\"42963968\"]\n  17 -> 33 [size =\"42963968\"]\n  17 -> 34 [size =\"42963968\"]\n  17 -> 35 [size =\"42963968\"]\n  17 -> 36 [size =\"42963968\"]\n  17 -> 37 [size =\"42963968\"]\n  17 -> 39 [size =\"42963968\"]\n  17 -> 40 [size =\"42963968\"]\n  17 -> 41 [size =\"42963968\"]\n  18 [size=\"58792960\", alpha=\"0.02\", expect_size=\"23517184\"] \n  18 -> 31 [size =\"23517184\"]\n  18 -> 33 [size =\"23517184\"]\n  18 -> 34 [size =\"23517184\"]\n  18 -> 35 [size =\"23517184\"]\n  18 -> 36 [size =\"23517184\"]\n  18 -> 37 [size =\"23517184\"]\n  18 -> 39 [size =\"23517184\"]\n  18 -> 45 [size =\"23517184\"]\n  19 [size=\"19645440\", alpha=\"0.14\", expect_size=\"7858176\"] \n  19 -> 32 [size =\"7858176\"]\n  19 -> 33 [size =\"7858176\"]\n  19 -> 35 [size =\"7858176\"]\n  19 -> 35 [size =\"7858176\"]\n  19 -> 39 [size =\"7858176\"]\n  20 [size=\"82452480\", alpha=\"0.10\", expect_size=\"32980992\"] \n  20 -> 32 [size =\"32980992\"]\n  20 -> 38 [size =\"32980992\"]\n  20 -> 39 [size =\"32980992\"]\n  20 -> 40 [size =\"32980992\"]\n  20 -> 41 [size =\"32980992\"]\n  20 -> 45 [size =\"32980992\"]\n  21 [size=\"125716480\", alpha=\"0.19\", expect_size=\"50286592\"] \n  21 -> 33 [size =\"50286592\"]\n  21 -> 35 [size =\"50286592\"]\n  21 -> 38 [size =\"50286592\"]\n  21 -> 39 [size =\"50286592\"]\n  21 -> 41 [size =\"50286592\"]\n  21 -> 45 [size =\"50286592\"]\n  22 [size=\"31800320\", alpha=\"0.06\", expect_size=\"12720128\"] \n  22 -> 30 [size =\"12720128\"]\n  22 -> 33 [size =\"12720128\"]\n  22 -> 34 [size =\"12720128\"]\n  22 -> 35 [size =\"12720128\"]\n  22 -> 37 [size =\"12720128\"]\n  22 -> 38 [size =\"12720128\"]\n  22 -> 40 [size =\"12720128\"]\n  22 -> 41 [size =\"12720128\"]\n  22 -> 43 [size =\"12720128\"]\n  22 -> 45 [size =\"12720128\"]\n  23 [size=\"86691840\", alpha=\"0.20\", expect_size=\"34676736\"] \n  23 -> 30 [size =\"34676736\"]\n  23 -> 33 [size =\"34676736\"]\n  23 -> 34 [size =\"34676736\"]\n  23 -> 36 [size =\"34676736\"]\n  23 -> 37 [size =\"34676736\"]\n  23 -> 38 [size =\"34676736\"]\n  23 -> 39 [size =\"34676736\"]\n  23 -> 41 [size =\"34676736\"]\n  23 -> 42 [size =\"34676736\"]\n  23 -> 44 [size =\"34676736\"]\n  23 -> 45 [size =\"34676736\"]\n  24 [size=\"65889280\", alpha=\"0.10\", expect_size=\"26355712\"] \n  24 -> 30 [size =\"26355712\"]\n  24 -> 33 [size =\"26355712\"]\n  24 -> 34 [size =\"26355712\"]\n  24 -> 36 [size =\"26355712\"]\n  24 -> 37 [size =\"26355712\"]\n  24 -> 38 [size =\"26355712\"]\n  24 -> 40 [size =\"26355712\"]\n  24 -> 41 [size =\"26355712\"]\n  24 -> 45 [size =\"26355712\"]\n  25 [size=\"23272960\", alpha=\"0.05\", expect_size=\"9309184\"] \n  25 -> 33 [size =\"9309184\"]\n  25 -> 34 [size =\"9309184\"]\n  25 -> 34 [size =\"9309184\"]\n  25 -> 35 [size =\"9309184\"]\n  25 -> 38 [size =\"9309184\"]\n  25 -> 39 [size =\"9309184\"]\n  25 -> 40 [size =\"9309184\"]\n  25 -> 41 [size =\"9309184\"]\n  25 -> 42 [size =\"9309184\"]\n  25 -> 43 [size =\"9309184\"]\n  25 -> 45 [size =\"9309184\"]\n  26 [size=\"50775040\", alpha=\"0.04\", expect_size=\"20310016\"] \n  26 -> 38 [size =\"20310016\"]\n  26 -> 39 [size =\"20310016\"]\n  26 -> 40 [size =\"20310016\"]\n  26 -> 41 [size =\"20310016\"]\n  26 -> 42 [size =\"20310016\"]\n  26 -> 43 [size =\"20310016\"]\n  26 -> 45 [size =\"20310016\"]\n  27 [size=\"48844800\", alpha=\"0.14\", expect_size=\"19537920\"] \n  27 -> 30 [size =\"19537920\"]\n  27 -> 34 [size =\"19537920\"]\n  27 -> 35 [size =\"19537920\"]\n  27 -> 39 [size =\"19537920\"]\n  27 -> 40 [size =\"19537920\"]\n  27 -> 41 [size =\"19537920\"]\n  27 -> 42 [size =\"19537920\"]\n  27 -> 43 [size =\"19537920\"]\n  27 -> 45 [size =\"19537920\"]\n  28 [size=\"22236160\", alpha=\"0.17\", expect_size=\"8894464\"] \n  28 -> 32 [size =\"8894464\"]\n  28 -> 34 [size =\"8894464\"]\n  28 -> 38 [size =\"8894464\"]\n  28 -> 39 [size =\"8894464\"]\n  28 -> 45 [size =\"8894464\"]\n  29 [size=\"33648640\", alpha=\"0.07\", expect_size=\"13459456\"] \n  29 -> 30 [size =\"13459456\"]\n  29 -> 33 [size =\"13459456\"]\n  29 -> 35 [size =\"13459456\"]\n  29 -> 36 [size =\"13459456\"]\n  29 -> 38 [size =\"13459456\"]\n  29 -> 39 [size =\"13459456\"]\n  29 -> 41 [size =\"13459456\"]\n  29 -> 43 [size =\"13459456\"]\n  29 -> 45 [size =\"13459456\"]\n  30 [size=\"116382720\", alpha=\"0.17\", expect_size=\"46553088\"] \n  30 -> 47 [size =\"46553088\"]\n  30 -> 48 [size =\"46553088\"]\n  30 -> 49 [size =\"46553088\"]\n  30 -> 50 [size =\"46553088\"]\n  31 [size=\"58800640\", alpha=\"0.03\", expect_size=\"23520256\"] \n  31 -> 46 [size =\"23520256\"]\n  31 -> 48 [size =\"23520256\"]\n  31 -> 49 [size =\"23520256\"]\n  32 [size=\"51217920\", alpha=\"0.15\", expect_size=\"20487168\"] \n  32 -> 46 [size =\"20487168\"]\n  33 [size=\"87326720\", alpha=\"0.03\", expect_size=\"34930688\"] \n  33 -> 46 [size =\"34930688\"]\n  33 -> 49 [size =\"34930688\"]\n  33 -> 50 [size =\"34930688\"]\n  34 [size=\"84428800\", alpha=\"0.04\", expect_size=\"33771520\"] \n  34 -> 46 [size =\"33771520\"]\n  34 -> 49 [size =\"33771520\"]\n  34 -> 50 [size =\"33771520\"]\n  35 [size=\"28328960\", alpha=\"0.10\", expect_size=\"11331584\"] \n  35 -> 46 [size =\"11331584\"]\n  35 -> 49 [size =\"11331584\"]\n  36 [size=\"60134400\", alpha=\"0.17\", expect_size=\"24053760\"] \n  36 -> 50 [size =\"24053760\"]\n  37 [size=\"86533120\", alpha=\"0.20\", expect_size=\"34613248\"] \n  37 -> 46 [size =\"34613248\"]\n  37 -> 50 [size =\"34613248\"]\n  38 [size=\"51010560\", alpha=\"0.10\", expect_size=\"20404224\"] \n  38 -> 47 [size =\"20404224\"]\n  38 -> 48 [size =\"20404224\"]\n  38 -> 49 [size =\"20404224\"]\n  39 [size=\"35545600\", alpha=\"0.01\", expect_size=\"14218240\"] \n  39 -> 47 [size =\"14218240\"]\n  39 -> 49 [size =\"14218240\"]\n  40 [size=\"76303360\", alpha=\"0.05\", expect_size=\"30521344\"] \n  40 -> 49 [size =\"30521344\"]\n  40 -> 49 [size =\"30521344\"]\n  40 -> 50 [size =\"30521344\"]\n  41 [size=\"61012480\", alpha=\"0.07\", expect_size=\"24404992\"] \n  41 -> 47 [size =\"24404992\"]\n  41 -> 50 [size =\"24404992\"]\n  42 [size=\"81269760\", alpha=\"0.12\", expect_size=\"32507904\"] \n  42 -> 46 [size =\"32507904\"]\n  42 -> 50 [size =\"32507904\"]\n  43 [size=\"53020160\", alpha=\"0.10\", expect_size=\"21208064\"] \n  43 -> 46 [size =\"21208064\"]\n  43 -> 49 [size =\"21208064\"]\n  44 [size=\"67788800\", alpha=\"0.17\", expect_size=\"27115520\"] \n  44 -> 47 [size =\"27115520\"]\n  44 -> 48 [size =\"27115520\"]\n  45 [size=\"90434560\", alpha=\"0.06\", expect_size=\"36173824\"] \n  45 -> 47 [size =\"36173824\"]\n  45 -> 48 [size =\"36173824\"]\n  46 [size=\"33945600\", alpha=\"0.01\", expect_size=\"13578240\"] \n  47 [size=\"16427520\", alpha=\"0.02\", expect_size=\"6571008\"] \n  48 [size=\"14218240\", alpha=\"0.05\", expect_size=\"5687296\"] \n  49 [size=\"73003520\", alpha=\"0.11\", expect_size=\"29201408\"] \n  50 [size=\"81359360\", alpha=\"0.14\", expect_size=\"32543744\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.928.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77339307\", alpha=\"0.18\", expect_size=\"23201792\"] \n  1 -> 4 [size =\"23201792\"]\n  2 [size=\"98563413\", alpha=\"0.13\", expect_size=\"29569024\"] \n  2 -> 3 [size =\"29569024\"]\n  2 -> 5 [size =\"29569024\"]\n  3 [size=\"52227413\", alpha=\"0.19\", expect_size=\"15668224\"] \n  3 -> 6 [size =\"15668224\"]\n  3 -> 8 [size =\"15668224\"]\n  4 [size=\"128747520\", alpha=\"0.09\", expect_size=\"38624256\"] \n  4 -> 7 [size =\"38624256\"]\n  5 [size=\"54425600\", alpha=\"0.16\", expect_size=\"16327680\"] \n  5 -> 7 [size =\"16327680\"]\n  6 [size=\"50657280\", alpha=\"0.10\", expect_size=\"15197184\"] \n  6 -> 10 [size =\"15197184\"]\n  7 [size=\"55418880\", alpha=\"0.04\", expect_size=\"16625664\"] \n  8 [size=\"104287573\", alpha=\"0.18\", expect_size=\"31286272\"] \n  8 -> 9 [size =\"31286272\"]\n  9 [size=\"100334933\", alpha=\"0.17\", expect_size=\"30100480\"] \n  9 -> 11 [size =\"30100480\"]\n  10 [size=\"108141227\", alpha=\"0.20\", expect_size=\"32442368\"] \n  10 -> 12 [size =\"32442368\"]\n  10 -> 13 [size =\"32442368\"]\n  11 [size=\"32884053\", alpha=\"0.18\", expect_size=\"9865216\"] \n  11 -> 14 [size =\"9865216\"]\n  11 -> 15 [size =\"9865216\"]\n  12 [size=\"19285333\", alpha=\"0.08\", expect_size=\"5785600\"] \n  12 -> 15 [size =\"5785600\"]\n  13 [size=\"119726080\", alpha=\"0.09\", expect_size=\"35917824\"] \n  13 -> 16 [size =\"35917824\"]\n  14 [size=\"115650560\", alpha=\"0.04\", expect_size=\"34695168\"] \n  14 -> 17 [size =\"34695168\"]\n  14 -> 18 [size =\"34695168\"]\n  15 [size=\"25948160\", alpha=\"0.18\", expect_size=\"7784448\"] \n  15 -> 17 [size =\"7784448\"]\n  16 [size=\"150913707\", alpha=\"0.07\", expect_size=\"45274112\"] \n  16 -> 18 [size =\"45274112\"]\n  16 -> 19 [size =\"45274112\"]\n  17 [size=\"75933013\", alpha=\"0.13\", expect_size=\"22779904\"] \n  17 -> 21 [size =\"22779904\"]\n  18 [size=\"103625387\", alpha=\"0.03\", expect_size=\"31087616\"] \n  18 -> 20 [size =\"31087616\"]\n  19 [size=\"87678293\", alpha=\"0.09\", expect_size=\"26303488\"] \n  20 [size=\"67365547\", alpha=\"0.16\", expect_size=\"20209664\"] \n  20 -> 23 [size =\"20209664\"]\n  21 [size=\"65320960\", alpha=\"0.12\", expect_size=\"19596288\"] \n  21 -> 22 [size =\"19596288\"]\n  21 -> 24 [size =\"19596288\"]\n  22 [size=\"46888960\", alpha=\"0.17\", expect_size=\"14066688\"] \n  22 -> 27 [size =\"14066688\"]\n  23 [size=\"112401067\", alpha=\"0.08\", expect_size=\"33720320\"] \n  23 -> 26 [size =\"33720320\"]\n  24 [size=\"27357867\", alpha=\"0.12\", expect_size=\"8207360\"] \n  24 -> 25 [size =\"8207360\"]\n  25 [size=\"59395413\", alpha=\"0.01\", expect_size=\"17818624\"] \n  25 -> 28 [size =\"17818624\"]\n  25 -> 29 [size =\"17818624\"]\n  26 [size=\"41000960\", alpha=\"0.14\", expect_size=\"12300288\"] \n  26 -> 29 [size =\"12300288\"]\n  27 [size=\"93764267\", alpha=\"0.12\", expect_size=\"28129280\"] \n  27 -> 28 [size =\"28129280\"]\n  28 [size=\"39253333\", alpha=\"0.01\", expect_size=\"11776000\"] \n  28 -> 30 [size =\"11776000\"]\n  28 -> 31 [size =\"11776000\"]\n  29 [size=\"62085120\", alpha=\"0.01\", expect_size=\"18625536\"] \n  30 [size=\"128938667\", alpha=\"0.12\", expect_size=\"38681600\"] \n  30 -> 32 [size =\"38681600\"]\n  30 -> 33 [size =\"38681600\"]\n  30 -> 34 [size =\"38681600\"]\n  31 [size=\"99945813\", alpha=\"0.05\", expect_size=\"29983744\"] \n  32 [size=\"34976427\", alpha=\"0.19\", expect_size=\"10492928\"] \n  32 -> 36 [size =\"10492928\"]\n  33 [size=\"172400640\", alpha=\"0.05\", expect_size=\"51720192\"] \n  33 -> 35 [size =\"51720192\"]\n  33 -> 37 [size =\"51720192\"]\n  34 [size=\"75113813\", alpha=\"0.04\", expect_size=\"22534144\"] \n  34 -> 36 [size =\"22534144\"]\n  35 [size=\"168966827\", alpha=\"0.04\", expect_size=\"50690048\"] \n  35 -> 39 [size =\"50690048\"]\n  35 -> 40 [size =\"50690048\"]\n  36 [size=\"19049813\", alpha=\"0.00\", expect_size=\"5714944\"] \n  36 -> 38 [size =\"5714944\"]\n  36 -> 39 [size =\"5714944\"]\n  37 [size=\"130399573\", alpha=\"0.05\", expect_size=\"39119872\"] \n  38 [size=\"69102933\", alpha=\"0.00\", expect_size=\"20730880\"] \n  38 -> 41 [size =\"20730880\"]\n  38 -> 42 [size =\"20730880\"]\n  38 -> 43 [size =\"20730880\"]\n  39 [size=\"79261013\", alpha=\"0.04\", expect_size=\"23778304\"] \n  39 -> 42 [size =\"23778304\"]\n  40 [size=\"86446080\", alpha=\"0.15\", expect_size=\"25933824\"] \n  40 -> 43 [size =\"25933824\"]\n  41 [size=\"24036693\", alpha=\"0.11\", expect_size=\"7211008\"] \n  42 [size=\"64730453\", alpha=\"0.12\", expect_size=\"19419136\"] \n  42 -> 44 [size =\"19419136\"]\n  43 [size=\"53050027\", alpha=\"0.04\", expect_size=\"15915008\"] \n  43 -> 45 [size =\"15915008\"]\n  44 [size=\"91248640\", alpha=\"0.18\", expect_size=\"27374592\"] \n  44 -> 47 [size =\"27374592\"]\n  45 [size=\"120217600\", alpha=\"0.17\", expect_size=\"36065280\"] \n  45 -> 46 [size =\"36065280\"]\n  46 [size=\"148425387\", alpha=\"0.19\", expect_size=\"44527616\"] \n  46 -> 49 [size =\"44527616\"]\n  47 [size=\"152029867\", alpha=\"0.11\", expect_size=\"45608960\"] \n  47 -> 48 [size =\"45608960\"]\n  48 [size=\"32201387\", alpha=\"0.05\", expect_size=\"9660416\"] \n  49 [size=\"32375467\", alpha=\"0.05\", expect_size=\"9712640\"] \n  49 -> 50 [size =\"9712640\"]\n  50 [size=\"65471147\", alpha=\"0.19\", expect_size=\"19641344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.929.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89145344\", alpha=\"0.01\", expect_size=\"44572672\"] \n  1 -> 2 [size =\"44572672\"]\n  2 [size=\"25073664\", alpha=\"0.01\", expect_size=\"12536832\"] \n  2 -> 3 [size =\"12536832\"]\n  3 [size=\"81625088\", alpha=\"0.09\", expect_size=\"40812544\"] \n  3 -> 4 [size =\"40812544\"]\n  4 [size=\"49653760\", alpha=\"0.19\", expect_size=\"24826880\"] \n  4 -> 5 [size =\"24826880\"]\n  5 [size=\"33947648\", alpha=\"0.09\", expect_size=\"16973824\"] \n  5 -> 6 [size =\"16973824\"]\n  6 [size=\"65894400\", alpha=\"0.14\", expect_size=\"32947200\"] \n  6 -> 7 [size =\"32947200\"]\n  7 [size=\"46002176\", alpha=\"0.08\", expect_size=\"23001088\"] \n  7 -> 8 [size =\"23001088\"]\n  8 [size=\"56489984\", alpha=\"0.12\", expect_size=\"28244992\"] \n  8 -> 9 [size =\"28244992\"]\n  9 [size=\"22149120\", alpha=\"0.02\", expect_size=\"11074560\"] \n  9 -> 10 [size =\"11074560\"]\n  10 [size=\"24733696\", alpha=\"0.14\", expect_size=\"12366848\"] \n  10 -> 11 [size =\"12366848\"]\n  11 [size=\"27547648\", alpha=\"0.17\", expect_size=\"13773824\"] \n  11 -> 12 [size =\"13773824\"]\n  12 [size=\"30763008\", alpha=\"0.16\", expect_size=\"15381504\"] \n  12 -> 13 [size =\"15381504\"]\n  13 [size=\"33323008\", alpha=\"0.07\", expect_size=\"16661504\"] \n  13 -> 14 [size =\"16661504\"]\n  14 [size=\"76857344\", alpha=\"0.05\", expect_size=\"38428672\"] \n  14 -> 15 [size =\"38428672\"]\n  15 [size=\"71047168\", alpha=\"0.06\", expect_size=\"35523584\"] \n  15 -> 16 [size =\"35523584\"]\n  16 [size=\"19734528\", alpha=\"0.19\", expect_size=\"9867264\"] \n  16 -> 17 [size =\"9867264\"]\n  17 [size=\"84795392\", alpha=\"0.15\", expect_size=\"42397696\"] \n  17 -> 18 [size =\"42397696\"]\n  18 [size=\"28162048\", alpha=\"0.00\", expect_size=\"14081024\"] \n  18 -> 19 [size =\"14081024\"]\n  19 [size=\"85637120\", alpha=\"0.18\", expect_size=\"42818560\"] \n  19 -> 20 [size =\"42818560\"]\n  20 [size=\"94232576\", alpha=\"0.14\", expect_size=\"47116288\"] \n  20 -> 21 [size =\"47116288\"]\n  21 [size=\"67274752\", alpha=\"0.08\", expect_size=\"33637376\"] \n  21 -> 22 [size =\"33637376\"]\n  22 [size=\"54571008\", alpha=\"0.05\", expect_size=\"27285504\"] \n  22 -> 23 [size =\"27285504\"]\n  23 [size=\"33560576\", alpha=\"0.16\", expect_size=\"16780288\"] \n  23 -> 24 [size =\"16780288\"]\n  24 [size=\"65046528\", alpha=\"0.16\", expect_size=\"32523264\"] \n  24 -> 25 [size =\"32523264\"]\n  25 [size=\"86726656\", alpha=\"0.01\", expect_size=\"43363328\"] \n  25 -> 26 [size =\"43363328\"]\n  26 [size=\"22575104\", alpha=\"0.18\", expect_size=\"11287552\"] \n  26 -> 27 [size =\"11287552\"]\n  27 [size=\"17883136\", alpha=\"0.02\", expect_size=\"8941568\"] \n  27 -> 28 [size =\"8941568\"]\n  28 [size=\"87855104\", alpha=\"0.16\", expect_size=\"43927552\"] \n  28 -> 29 [size =\"43927552\"]\n  29 [size=\"90191872\", alpha=\"0.12\", expect_size=\"45095936\"] \n  29 -> 30 [size =\"45095936\"]\n  30 [size=\"78874624\", alpha=\"0.12\", expect_size=\"39437312\"] \n  30 -> 31 [size =\"39437312\"]\n  31 [size=\"52631552\", alpha=\"0.15\", expect_size=\"26315776\"] \n  31 -> 32 [size =\"26315776\"]\n  32 [size=\"90124288\", alpha=\"0.02\", expect_size=\"45062144\"] \n  32 -> 33 [size =\"45062144\"]\n  33 [size=\"17197056\", alpha=\"0.15\", expect_size=\"8598528\"] \n  33 -> 34 [size =\"8598528\"]\n  34 [size=\"93734912\", alpha=\"0.01\", expect_size=\"46867456\"] \n  34 -> 35 [size =\"46867456\"]\n  35 [size=\"75794432\", alpha=\"0.20\", expect_size=\"37897216\"] \n  35 -> 36 [size =\"37897216\"]\n  36 [size=\"81207296\", alpha=\"0.01\", expect_size=\"40603648\"] \n  36 -> 37 [size =\"40603648\"]\n  37 [size=\"71012352\", alpha=\"0.18\", expect_size=\"35506176\"] \n  37 -> 38 [size =\"35506176\"]\n  38 [size=\"80726016\", alpha=\"0.18\", expect_size=\"40363008\"] \n  38 -> 39 [size =\"40363008\"]\n  39 [size=\"61982720\", alpha=\"0.15\", expect_size=\"30991360\"] \n  39 -> 40 [size =\"30991360\"]\n  40 [size=\"26447872\", alpha=\"0.09\", expect_size=\"13223936\"] \n  40 -> 41 [size =\"13223936\"]\n  41 [size=\"82739200\", alpha=\"0.15\", expect_size=\"41369600\"] \n  41 -> 42 [size =\"41369600\"]\n  42 [size=\"59176960\", alpha=\"0.11\", expect_size=\"29588480\"] \n  42 -> 43 [size =\"29588480\"]\n  43 [size=\"70410240\", alpha=\"0.12\", expect_size=\"35205120\"] \n  43 -> 44 [size =\"35205120\"]\n  44 [size=\"44906496\", alpha=\"0.04\", expect_size=\"22453248\"] \n  44 -> 45 [size =\"22453248\"]\n  45 [size=\"49035264\", alpha=\"0.12\", expect_size=\"24517632\"] \n  45 -> 46 [size =\"24517632\"]\n  46 [size=\"48992256\", alpha=\"0.03\", expect_size=\"24496128\"] \n  46 -> 47 [size =\"24496128\"]\n  47 [size=\"54024192\", alpha=\"0.15\", expect_size=\"27012096\"] \n  47 -> 48 [size =\"27012096\"]\n  48 [size=\"44072960\", alpha=\"0.04\", expect_size=\"22036480\"] \n  48 -> 49 [size =\"22036480\"]\n  49 [size=\"36812800\", alpha=\"0.10\", expect_size=\"18406400\"] \n  49 -> 50 [size =\"18406400\"]\n  50 [size=\"13027328\", alpha=\"0.10\", expect_size=\"6513664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77112320\", alpha=\"0.14\", expect_size=\"30844928\"] \n  1 -> 2 [size =\"30844928\"]\n  2 [size=\"24586240\", alpha=\"0.07\", expect_size=\"9834496\"] \n  2 -> 3 [size =\"9834496\"]\n  3 [size=\"81730560\", alpha=\"0.03\", expect_size=\"32692224\"] \n  3 -> 4 [size =\"32692224\"]\n  4 [size=\"28497920\", alpha=\"0.07\", expect_size=\"11399168\"] \n  4 -> 5 [size =\"11399168\"]\n  5 [size=\"84428800\", alpha=\"0.13\", expect_size=\"33771520\"] \n  5 -> 6 [size =\"33771520\"]\n  6 [size=\"64627200\", alpha=\"0.13\", expect_size=\"25850880\"] \n  6 -> 7 [size =\"25850880\"]\n  7 [size=\"120524800\", alpha=\"0.15\", expect_size=\"48209920\"] \n  7 -> 8 [size =\"48209920\"]\n  8 [size=\"58319360\", alpha=\"0.18\", expect_size=\"23327744\"] \n  8 -> 9 [size =\"23327744\"]\n  9 [size=\"96714240\", alpha=\"0.19\", expect_size=\"38685696\"] \n  9 -> 10 [size =\"38685696\"]\n  10 [size=\"119559680\", alpha=\"0.10\", expect_size=\"47823872\"] \n  10 -> 11 [size =\"47823872\"]\n  11 [size=\"18475520\", alpha=\"0.13\", expect_size=\"7390208\"] \n  11 -> 12 [size =\"7390208\"]\n  12 [size=\"101877760\", alpha=\"0.08\", expect_size=\"40751104\"] \n  12 -> 13 [size =\"40751104\"]\n  13 [size=\"25090560\", alpha=\"0.09\", expect_size=\"10036224\"] \n  13 -> 14 [size =\"10036224\"]\n  14 [size=\"43985920\", alpha=\"0.15\", expect_size=\"17594368\"] \n  14 -> 15 [size =\"17594368\"]\n  15 [size=\"83297280\", alpha=\"0.15\", expect_size=\"33318912\"] \n  15 -> 16 [size =\"33318912\"]\n  16 [size=\"44536320\", alpha=\"0.16\", expect_size=\"17814528\"] \n  16 -> 17 [size =\"17814528\"]\n  17 [size=\"123499520\", alpha=\"0.12\", expect_size=\"49399808\"] \n  17 -> 18 [size =\"49399808\"]\n  18 [size=\"96463360\", alpha=\"0.11\", expect_size=\"38585344\"] \n  18 -> 19 [size =\"38585344\"]\n  19 [size=\"83896320\", alpha=\"0.15\", expect_size=\"33558528\"] \n  19 -> 20 [size =\"33558528\"]\n  20 [size=\"75942400\", alpha=\"0.11\", expect_size=\"30376960\"] \n  20 -> 21 [size =\"30376960\"]\n  21 [size=\"18531840\", alpha=\"0.18\", expect_size=\"7412736\"] \n  21 -> 22 [size =\"7412736\"]\n  22 [size=\"96458240\", alpha=\"0.07\", expect_size=\"38583296\"] \n  22 -> 23 [size =\"38583296\"]\n  23 [size=\"26347520\", alpha=\"0.08\", expect_size=\"10539008\"] \n  23 -> 24 [size =\"10539008\"]\n  24 [size=\"77301760\", alpha=\"0.11\", expect_size=\"30920704\"] \n  24 -> 25 [size =\"30920704\"]\n  25 [size=\"47562240\", alpha=\"0.07\", expect_size=\"19024896\"] \n  25 -> 26 [size =\"19024896\"]\n  26 [size=\"20597760\", alpha=\"0.11\", expect_size=\"8239104\"] \n  26 -> 27 [size =\"8239104\"]\n  27 [size=\"113085440\", alpha=\"0.13\", expect_size=\"45234176\"] \n  27 -> 28 [size =\"45234176\"]\n  28 [size=\"64355840\", alpha=\"0.03\", expect_size=\"25742336\"] \n  28 -> 29 [size =\"25742336\"]\n  29 [size=\"13575680\", alpha=\"0.07\", expect_size=\"5430272\"] \n  29 -> 30 [size =\"5430272\"]\n  30 [size=\"103413760\", alpha=\"0.09\", expect_size=\"41365504\"] \n  30 -> 31 [size =\"41365504\"]\n  31 [size=\"52810240\", alpha=\"0.12\", expect_size=\"21124096\"] \n  31 -> 32 [size =\"21124096\"]\n  32 [size=\"43737600\", alpha=\"0.10\", expect_size=\"17495040\"] \n  32 -> 33 [size =\"17495040\"]\n  33 [size=\"87672320\", alpha=\"0.11\", expect_size=\"35068928\"] \n  33 -> 34 [size =\"35068928\"]\n  34 [size=\"17315840\", alpha=\"0.16\", expect_size=\"6926336\"] \n  34 -> 35 [size =\"6926336\"]\n  35 [size=\"83985920\", alpha=\"0.13\", expect_size=\"33594368\"] \n  35 -> 36 [size =\"33594368\"]\n  36 [size=\"123077120\", alpha=\"0.16\", expect_size=\"49230848\"] \n  36 -> 37 [size =\"49230848\"]\n  37 [size=\"68149760\", alpha=\"0.17\", expect_size=\"27259904\"] \n  37 -> 38 [size =\"27259904\"]\n  38 [size=\"26616320\", alpha=\"0.13\", expect_size=\"10646528\"] \n  38 -> 39 [size =\"10646528\"]\n  39 [size=\"43694080\", alpha=\"0.00\", expect_size=\"17477632\"] \n  39 -> 40 [size =\"17477632\"]\n  40 [size=\"85027840\", alpha=\"0.18\", expect_size=\"34011136\"] \n  40 -> 41 [size =\"34011136\"]\n  41 [size=\"21135360\", alpha=\"0.17\", expect_size=\"8454144\"] \n  41 -> 42 [size =\"8454144\"]\n  42 [size=\"93319680\", alpha=\"0.10\", expect_size=\"37327872\"] \n  42 -> 43 [size =\"37327872\"]\n  43 [size=\"36456960\", alpha=\"0.06\", expect_size=\"14582784\"] \n  43 -> 44 [size =\"14582784\"]\n  44 [size=\"98460160\", alpha=\"0.12\", expect_size=\"39384064\"] \n  44 -> 45 [size =\"39384064\"]\n  45 [size=\"74283520\", alpha=\"0.04\", expect_size=\"29713408\"] \n  45 -> 46 [size =\"29713408\"]\n  46 [size=\"34114560\", alpha=\"0.18\", expect_size=\"13645824\"] \n  46 -> 47 [size =\"13645824\"]\n  47 [size=\"127349760\", alpha=\"0.08\", expect_size=\"50939904\"] \n  47 -> 48 [size =\"50939904\"]\n  48 [size=\"110487040\", alpha=\"0.07\", expect_size=\"44194816\"] \n  48 -> 49 [size =\"44194816\"]\n  49 [size=\"66887680\", alpha=\"0.06\", expect_size=\"26755072\"] \n  49 -> 50 [size =\"26755072\"]\n  50 [size=\"67340800\", alpha=\"0.01\", expect_size=\"26936320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.930.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80883200\", alpha=\"0.04\", expect_size=\"32353280\"] \n  1 -> 2 [size =\"32353280\"]\n  2 [size=\"108042240\", alpha=\"0.14\", expect_size=\"43216896\"] \n  2 -> 3 [size =\"43216896\"]\n  3 [size=\"115399680\", alpha=\"0.10\", expect_size=\"46159872\"] \n  3 -> 4 [size =\"46159872\"]\n  4 [size=\"38965760\", alpha=\"0.15\", expect_size=\"15586304\"] \n  4 -> 5 [size =\"15586304\"]\n  5 [size=\"126592000\", alpha=\"0.12\", expect_size=\"50636800\"] \n  5 -> 6 [size =\"50636800\"]\n  6 [size=\"113620480\", alpha=\"0.13\", expect_size=\"45448192\"] \n  6 -> 7 [size =\"45448192\"]\n  7 [size=\"121341440\", alpha=\"0.16\", expect_size=\"48536576\"] \n  7 -> 8 [size =\"48536576\"]\n  8 [size=\"128430080\", alpha=\"0.05\", expect_size=\"51372032\"] \n  8 -> 9 [size =\"51372032\"]\n  9 [size=\"56698880\", alpha=\"0.19\", expect_size=\"22679552\"] \n  9 -> 10 [size =\"22679552\"]\n  10 [size=\"81213440\", alpha=\"0.17\", expect_size=\"32485376\"] \n  10 -> 11 [size =\"32485376\"]\n  11 [size=\"93404160\", alpha=\"0.08\", expect_size=\"37361664\"] \n  11 -> 12 [size =\"37361664\"]\n  12 [size=\"119866880\", alpha=\"0.09\", expect_size=\"47946752\"] \n  12 -> 13 [size =\"47946752\"]\n  13 [size=\"82908160\", alpha=\"0.12\", expect_size=\"33163264\"] \n  13 -> 14 [size =\"33163264\"]\n  14 [size=\"26777600\", alpha=\"0.05\", expect_size=\"10711040\"] \n  14 -> 15 [size =\"10711040\"]\n  15 [size=\"115028480\", alpha=\"0.01\", expect_size=\"46011392\"] \n  15 -> 16 [size =\"46011392\"]\n  16 [size=\"70305280\", alpha=\"0.14\", expect_size=\"28122112\"] \n  16 -> 17 [size =\"28122112\"]\n  17 [size=\"29470720\", alpha=\"0.08\", expect_size=\"11788288\"] \n  17 -> 18 [size =\"11788288\"]\n  18 [size=\"121344000\", alpha=\"0.02\", expect_size=\"48537600\"] \n  18 -> 19 [size =\"48537600\"]\n  19 [size=\"30576640\", alpha=\"0.08\", expect_size=\"12230656\"] \n  19 -> 20 [size =\"12230656\"]\n  20 [size=\"23872000\", alpha=\"0.12\", expect_size=\"9548800\"] \n  20 -> 21 [size =\"9548800\"]\n  21 [size=\"121896960\", alpha=\"0.07\", expect_size=\"48758784\"] \n  21 -> 22 [size =\"48758784\"]\n  22 [size=\"50810880\", alpha=\"0.19\", expect_size=\"20324352\"] \n  22 -> 23 [size =\"20324352\"]\n  23 [size=\"106698240\", alpha=\"0.07\", expect_size=\"42679296\"] \n  23 -> 24 [size =\"42679296\"]\n  24 [size=\"62056960\", alpha=\"0.01\", expect_size=\"24822784\"] \n  24 -> 25 [size =\"24822784\"]\n  25 [size=\"90997760\", alpha=\"0.13\", expect_size=\"36399104\"] \n  25 -> 26 [size =\"36399104\"]\n  26 [size=\"94138880\", alpha=\"0.03\", expect_size=\"37655552\"] \n  26 -> 27 [size =\"37655552\"]\n  27 [size=\"56376320\", alpha=\"0.11\", expect_size=\"22550528\"] \n  27 -> 28 [size =\"22550528\"]\n  28 [size=\"105658880\", alpha=\"0.18\", expect_size=\"42263552\"] \n  28 -> 29 [size =\"42263552\"]\n  29 [size=\"116485120\", alpha=\"0.13\", expect_size=\"46594048\"] \n  29 -> 30 [size =\"46594048\"]\n  30 [size=\"44175360\", alpha=\"0.19\", expect_size=\"17670144\"] \n  30 -> 31 [size =\"17670144\"]\n  31 [size=\"112995840\", alpha=\"0.19\", expect_size=\"45198336\"] \n  31 -> 32 [size =\"45198336\"]\n  32 [size=\"36833280\", alpha=\"0.17\", expect_size=\"14733312\"] \n  32 -> 33 [size =\"14733312\"]\n  33 [size=\"28590080\", alpha=\"0.07\", expect_size=\"11436032\"] \n  33 -> 34 [size =\"11436032\"]\n  34 [size=\"72591360\", alpha=\"0.19\", expect_size=\"29036544\"] \n  34 -> 35 [size =\"29036544\"]\n  35 [size=\"76736000\", alpha=\"0.09\", expect_size=\"30694400\"] \n  35 -> 36 [size =\"30694400\"]\n  36 [size=\"36541440\", alpha=\"0.08\", expect_size=\"14616576\"] \n  36 -> 37 [size =\"14616576\"]\n  37 [size=\"52526080\", alpha=\"0.10\", expect_size=\"21010432\"] \n  37 -> 38 [size =\"21010432\"]\n  38 [size=\"114954240\", alpha=\"0.10\", expect_size=\"45981696\"] \n  38 -> 39 [size =\"45981696\"]\n  39 [size=\"103224320\", alpha=\"0.14\", expect_size=\"41289728\"] \n  39 -> 40 [size =\"41289728\"]\n  40 [size=\"60928000\", alpha=\"0.19\", expect_size=\"24371200\"] \n  40 -> 41 [size =\"24371200\"]\n  41 [size=\"56171520\", alpha=\"0.02\", expect_size=\"22468608\"] \n  41 -> 42 [size =\"22468608\"]\n  42 [size=\"51289600\", alpha=\"0.12\", expect_size=\"20515840\"] \n  42 -> 43 [size =\"20515840\"]\n  43 [size=\"35074560\", alpha=\"0.18\", expect_size=\"14029824\"] \n  43 -> 44 [size =\"14029824\"]\n  44 [size=\"77332480\", alpha=\"0.12\", expect_size=\"30932992\"] \n  44 -> 45 [size =\"30932992\"]\n  45 [size=\"73768960\", alpha=\"0.20\", expect_size=\"29507584\"] \n  45 -> 46 [size =\"29507584\"]\n  46 [size=\"126305280\", alpha=\"0.01\", expect_size=\"50522112\"] \n  46 -> 47 [size =\"50522112\"]\n  47 [size=\"56212480\", alpha=\"0.09\", expect_size=\"22484992\"] \n  47 -> 48 [size =\"22484992\"]\n  48 [size=\"115786240\", alpha=\"0.13\", expect_size=\"46314496\"] \n  48 -> 49 [size =\"46314496\"]\n  49 [size=\"59368960\", alpha=\"0.15\", expect_size=\"23747584\"] \n  49 -> 50 [size =\"23747584\"]\n  50 [size=\"22394880\", alpha=\"0.02\", expect_size=\"8957952\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.931.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"132809387\", alpha=\"0.15\", expect_size=\"39842816\"] \n  1 -> 3 [size =\"39842816\"]\n  1 -> 4 [size =\"39842816\"]\n  2 [size=\"84415147\", alpha=\"0.10\", expect_size=\"25324544\"] \n  2 -> 5 [size =\"25324544\"]\n  3 [size=\"54060373\", alpha=\"0.12\", expect_size=\"16218112\"] \n  3 -> 6 [size =\"16218112\"]\n  4 [size=\"168502613\", alpha=\"0.02\", expect_size=\"50550784\"] \n  4 -> 7 [size =\"50550784\"]\n  5 [size=\"51186347\", alpha=\"0.04\", expect_size=\"15355904\"] \n  6 [size=\"145844907\", alpha=\"0.10\", expect_size=\"43753472\"] \n  6 -> 8 [size =\"43753472\"]\n  7 [size=\"20503893\", alpha=\"0.18\", expect_size=\"6151168\"] \n  7 -> 9 [size =\"6151168\"]\n  8 [size=\"44199253\", alpha=\"0.03\", expect_size=\"13259776\"] \n  9 [size=\"161300480\", alpha=\"0.16\", expect_size=\"48390144\"] \n  9 -> 10 [size =\"48390144\"]\n  9 -> 11 [size =\"48390144\"]\n  10 [size=\"36164267\", alpha=\"0.17\", expect_size=\"10849280\"] \n  10 -> 14 [size =\"10849280\"]\n  11 [size=\"165850453\", alpha=\"0.19\", expect_size=\"49755136\"] \n  11 -> 12 [size =\"49755136\"]\n  11 -> 13 [size =\"49755136\"]\n  12 [size=\"127170560\", alpha=\"0.00\", expect_size=\"38151168\"] \n  12 -> 16 [size =\"38151168\"]\n  13 [size=\"47551147\", alpha=\"0.11\", expect_size=\"14265344\"] \n  13 -> 15 [size =\"14265344\"]\n  13 -> 16 [size =\"14265344\"]\n  14 [size=\"143141547\", alpha=\"0.04\", expect_size=\"42942464\"] \n  15 [size=\"161583787\", alpha=\"0.03\", expect_size=\"48475136\"] \n  16 [size=\"36044800\", alpha=\"0.10\", expect_size=\"10813440\"] \n  16 -> 17 [size =\"10813440\"]\n  16 -> 18 [size =\"10813440\"]\n  17 [size=\"115882667\", alpha=\"0.01\", expect_size=\"34764800\"] \n  17 -> 20 [size =\"34764800\"]\n  18 [size=\"97245867\", alpha=\"0.04\", expect_size=\"29173760\"] \n  18 -> 19 [size =\"29173760\"]\n  19 [size=\"124747093\", alpha=\"0.01\", expect_size=\"37424128\"] \n  19 -> 21 [size =\"37424128\"]\n  19 -> 22 [size =\"37424128\"]\n  20 [size=\"97003520\", alpha=\"0.15\", expect_size=\"29101056\"] \n  21 [size=\"69905067\", alpha=\"0.03\", expect_size=\"20971520\"] \n  21 -> 23 [size =\"20971520\"]\n  21 -> 24 [size =\"20971520\"]\n  22 [size=\"65512107\", alpha=\"0.20\", expect_size=\"19653632\"] \n  23 [size=\"66027520\", alpha=\"0.01\", expect_size=\"19808256\"] \n  24 [size=\"152948053\", alpha=\"0.02\", expect_size=\"45884416\"] \n  24 -> 25 [size =\"45884416\"]\n  24 -> 26 [size =\"45884416\"]\n  25 [size=\"28948480\", alpha=\"0.07\", expect_size=\"8684544\"] \n  25 -> 27 [size =\"8684544\"]\n  25 -> 28 [size =\"8684544\"]\n  26 [size=\"54186667\", alpha=\"0.08\", expect_size=\"16256000\"] \n  26 -> 29 [size =\"16256000\"]\n  27 [size=\"134311253\", alpha=\"0.10\", expect_size=\"40293376\"] \n  27 -> 31 [size =\"40293376\"]\n  28 [size=\"138277547\", alpha=\"0.14\", expect_size=\"41483264\"] \n  29 [size=\"166372693\", alpha=\"0.18\", expect_size=\"49911808\"] \n  29 -> 30 [size =\"49911808\"]\n  30 [size=\"20172800\", alpha=\"0.03\", expect_size=\"6051840\"] \n  31 [size=\"137820160\", alpha=\"0.08\", expect_size=\"41346048\"] \n  31 -> 32 [size =\"41346048\"]\n  31 -> 33 [size =\"41346048\"]\n  31 -> 34 [size =\"41346048\"]\n  32 [size=\"162785280\", alpha=\"0.06\", expect_size=\"48835584\"] \n  32 -> 35 [size =\"48835584\"]\n  32 -> 37 [size =\"48835584\"]\n  33 [size=\"162010453\", alpha=\"0.09\", expect_size=\"48603136\"] \n  33 -> 36 [size =\"48603136\"]\n  34 [size=\"172083200\", alpha=\"0.07\", expect_size=\"51624960\"] \n  35 [size=\"29457067\", alpha=\"0.03\", expect_size=\"8837120\"] \n  36 [size=\"82425173\", alpha=\"0.02\", expect_size=\"24727552\"] \n  36 -> 38 [size =\"24727552\"]\n  36 -> 39 [size =\"24727552\"]\n  37 [size=\"144776533\", alpha=\"0.14\", expect_size=\"43432960\"] \n  37 -> 40 [size =\"43432960\"]\n  38 [size=\"62255787\", alpha=\"0.16\", expect_size=\"18676736\"] \n  39 [size=\"18879147\", alpha=\"0.11\", expect_size=\"5663744\"] \n  40 [size=\"158470827\", alpha=\"0.16\", expect_size=\"47541248\"] \n  40 -> 41 [size =\"47541248\"]\n  40 -> 42 [size =\"47541248\"]\n  41 [size=\"27859627\", alpha=\"0.08\", expect_size=\"8357888\"] \n  41 -> 44 [size =\"8357888\"]\n  41 -> 45 [size =\"8357888\"]\n  42 [size=\"90002773\", alpha=\"0.06\", expect_size=\"27000832\"] \n  42 -> 43 [size =\"27000832\"]\n  43 [size=\"140011520\", alpha=\"0.11\", expect_size=\"42003456\"] \n  43 -> 46 [size =\"42003456\"]\n  43 -> 47 [size =\"42003456\"]\n  44 [size=\"50688000\", alpha=\"0.12\", expect_size=\"15206400\"] \n  44 -> 47 [size =\"15206400\"]\n  45 [size=\"104977067\", alpha=\"0.15\", expect_size=\"31493120\"] \n  46 [size=\"132420267\", alpha=\"0.03\", expect_size=\"39726080\"] \n  47 [size=\"151589547\", alpha=\"0.05\", expect_size=\"45476864\"] \n  47 -> 48 [size =\"45476864\"]\n  47 -> 49 [size =\"45476864\"]\n  47 -> 50 [size =\"45476864\"]\n  48 [size=\"103604907\", alpha=\"0.03\", expect_size=\"31081472\"] \n  49 [size=\"68239360\", alpha=\"0.20\", expect_size=\"20471808\"] \n  50 [size=\"152763733\", alpha=\"0.17\", expect_size=\"45829120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.932.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55136256\", alpha=\"0.11\", expect_size=\"27568128\"] \n  2 [size=\"10606592\", alpha=\"0.10\", expect_size=\"5303296\"] \n  2 -> 4 [size =\"5303296\"]\n  2 -> 5 [size =\"5303296\"]\n  3 [size=\"50079744\", alpha=\"0.15\", expect_size=\"25039872\"] \n  3 -> 6 [size =\"25039872\"]\n  4 [size=\"80607232\", alpha=\"0.11\", expect_size=\"40303616\"] \n  5 [size=\"65243136\", alpha=\"0.10\", expect_size=\"32621568\"] \n  5 -> 7 [size =\"32621568\"]\n  5 -> 8 [size =\"32621568\"]\n  6 [size=\"13748224\", alpha=\"0.02\", expect_size=\"6874112\"] \n  7 [size=\"98455552\", alpha=\"0.19\", expect_size=\"49227776\"] \n  7 -> 9 [size =\"49227776\"]\n  7 -> 10 [size =\"49227776\"]\n  7 -> 11 [size =\"49227776\"]\n  8 [size=\"41334784\", alpha=\"0.18\", expect_size=\"20667392\"] \n  8 -> 9 [size =\"20667392\"]\n  8 -> 10 [size =\"20667392\"]\n  8 -> 11 [size =\"20667392\"]\n  9 [size=\"78964736\", alpha=\"0.01\", expect_size=\"39482368\"] \n  9 -> 13 [size =\"39482368\"]\n  10 [size=\"80269312\", alpha=\"0.14\", expect_size=\"40134656\"] \n  10 -> 12 [size =\"40134656\"]\n  11 [size=\"64172032\", alpha=\"0.11\", expect_size=\"32086016\"] \n  11 -> 13 [size =\"32086016\"]\n  12 [size=\"21835776\", alpha=\"0.19\", expect_size=\"10917888\"] \n  12 -> 14 [size =\"10917888\"]\n  12 -> 15 [size =\"10917888\"]\n  13 [size=\"68151296\", alpha=\"0.11\", expect_size=\"34075648\"] \n  14 [size=\"43112448\", alpha=\"0.15\", expect_size=\"21556224\"] \n  14 -> 16 [size =\"21556224\"]\n  14 -> 17 [size =\"21556224\"]\n  15 [size=\"95977472\", alpha=\"0.06\", expect_size=\"47988736\"] \n  15 -> 17 [size =\"47988736\"]\n  15 -> 18 [size =\"47988736\"]\n  16 [size=\"47759360\", alpha=\"0.18\", expect_size=\"23879680\"] \n  16 -> 20 [size =\"23879680\"]\n  16 -> 21 [size =\"23879680\"]\n  17 [size=\"58112000\", alpha=\"0.16\", expect_size=\"29056000\"] \n  17 -> 19 [size =\"29056000\"]\n  17 -> 21 [size =\"29056000\"]\n  18 [size=\"52838400\", alpha=\"0.03\", expect_size=\"26419200\"] \n  18 -> 19 [size =\"26419200\"]\n  18 -> 20 [size =\"26419200\"]\n  19 [size=\"41723904\", alpha=\"0.16\", expect_size=\"20861952\"] \n  19 -> 23 [size =\"20861952\"]\n  20 [size=\"45264896\", alpha=\"0.03\", expect_size=\"22632448\"] \n  20 -> 22 [size =\"22632448\"]\n  20 -> 23 [size =\"22632448\"]\n  21 [size=\"17606656\", alpha=\"0.19\", expect_size=\"8803328\"] \n  21 -> 22 [size =\"8803328\"]\n  21 -> 23 [size =\"8803328\"]\n  22 [size=\"69115904\", alpha=\"0.16\", expect_size=\"34557952\"] \n  22 -> 24 [size =\"34557952\"]\n  22 -> 25 [size =\"34557952\"]\n  22 -> 26 [size =\"34557952\"]\n  23 [size=\"62289920\", alpha=\"0.01\", expect_size=\"31144960\"] \n  23 -> 26 [size =\"31144960\"]\n  24 [size=\"19662848\", alpha=\"0.00\", expect_size=\"9831424\"] \n  24 -> 27 [size =\"9831424\"]\n  24 -> 28 [size =\"9831424\"]\n  25 [size=\"89288704\", alpha=\"0.12\", expect_size=\"44644352\"] \n  26 [size=\"21997568\", alpha=\"0.04\", expect_size=\"10998784\"] \n  26 -> 27 [size =\"10998784\"]\n  26 -> 28 [size =\"10998784\"]\n  27 [size=\"10696704\", alpha=\"0.14\", expect_size=\"5348352\"] \n  27 -> 30 [size =\"5348352\"]\n  28 [size=\"85125120\", alpha=\"0.12\", expect_size=\"42562560\"] \n  28 -> 29 [size =\"42562560\"]\n  28 -> 30 [size =\"42562560\"]\n  29 [size=\"101459968\", alpha=\"0.03\", expect_size=\"50729984\"] \n  29 -> 32 [size =\"50729984\"]\n  29 -> 33 [size =\"50729984\"]\n  30 [size=\"81397760\", alpha=\"0.10\", expect_size=\"40698880\"] \n  30 -> 31 [size =\"40698880\"]\n  30 -> 32 [size =\"40698880\"]\n  30 -> 33 [size =\"40698880\"]\n  31 [size=\"94392320\", alpha=\"0.08\", expect_size=\"47196160\"] \n  31 -> 34 [size =\"47196160\"]\n  31 -> 35 [size =\"47196160\"]\n  32 [size=\"90718208\", alpha=\"0.08\", expect_size=\"45359104\"] \n  32 -> 35 [size =\"45359104\"]\n  33 [size=\"70500352\", alpha=\"0.01\", expect_size=\"35250176\"] \n  34 [size=\"73332736\", alpha=\"0.00\", expect_size=\"36666368\"] \n  35 [size=\"74964992\", alpha=\"0.18\", expect_size=\"37482496\"] \n  35 -> 36 [size =\"37482496\"]\n  35 -> 37 [size =\"37482496\"]\n  36 [size=\"35784704\", alpha=\"0.03\", expect_size=\"17892352\"] \n  36 -> 38 [size =\"17892352\"]\n  36 -> 39 [size =\"17892352\"]\n  37 [size=\"53426176\", alpha=\"0.19\", expect_size=\"26713088\"] \n  37 -> 38 [size =\"26713088\"]\n  37 -> 39 [size =\"26713088\"]\n  38 [size=\"27119616\", alpha=\"0.03\", expect_size=\"13559808\"] \n  38 -> 40 [size =\"13559808\"]\n  38 -> 41 [size =\"13559808\"]\n  39 [size=\"82085888\", alpha=\"0.14\", expect_size=\"41042944\"] \n  39 -> 40 [size =\"41042944\"]\n  40 [size=\"98062336\", alpha=\"0.13\", expect_size=\"49031168\"] \n  40 -> 42 [size =\"49031168\"]\n  40 -> 43 [size =\"49031168\"]\n  41 [size=\"50460672\", alpha=\"0.13\", expect_size=\"25230336\"] \n  41 -> 42 [size =\"25230336\"]\n  41 -> 44 [size =\"25230336\"]\n  42 [size=\"87341056\", alpha=\"0.05\", expect_size=\"43670528\"] \n  42 -> 45 [size =\"43670528\"]\n  42 -> 46 [size =\"43670528\"]\n  42 -> 47 [size =\"43670528\"]\n  43 [size=\"31309824\", alpha=\"0.09\", expect_size=\"15654912\"] \n  43 -> 46 [size =\"15654912\"]\n  44 [size=\"34404352\", alpha=\"0.14\", expect_size=\"17202176\"] \n  44 -> 45 [size =\"17202176\"]\n  44 -> 46 [size =\"17202176\"]\n  44 -> 47 [size =\"17202176\"]\n  45 [size=\"34881536\", alpha=\"0.16\", expect_size=\"17440768\"] \n  46 [size=\"23863296\", alpha=\"0.01\", expect_size=\"11931648\"] \n  46 -> 48 [size =\"11931648\"]\n  46 -> 49 [size =\"11931648\"]\n  46 -> 50 [size =\"11931648\"]\n  47 [size=\"38623232\", alpha=\"0.05\", expect_size=\"19311616\"] \n  47 -> 48 [size =\"19311616\"]\n  47 -> 50 [size =\"19311616\"]\n  48 [size=\"32417792\", alpha=\"0.06\", expect_size=\"16208896\"] \n  49 [size=\"47599616\", alpha=\"0.05\", expect_size=\"23799808\"] \n  50 [size=\"21039104\", alpha=\"0.00\", expect_size=\"10519552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.933.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"169533440\", alpha=\"0.16\", expect_size=\"50860032\"] \n  1 -> 35 [size =\"50860032\"]\n  1 -> 39 [size =\"50860032\"]\n  1 -> 41 [size =\"50860032\"]\n  1 -> 43 [size =\"50860032\"]\n  1 -> 45 [size =\"50860032\"]\n  1 -> 47 [size =\"50860032\"]\n  1 -> 50 [size =\"50860032\"]\n  2 [size=\"172827307\", alpha=\"0.10\", expect_size=\"51848192\"] \n  2 -> 35 [size =\"51848192\"]\n  2 -> 39 [size =\"51848192\"]\n  2 -> 42 [size =\"51848192\"]\n  2 -> 43 [size =\"51848192\"]\n  2 -> 47 [size =\"51848192\"]\n  2 -> 47 [size =\"51848192\"]\n  2 -> 48 [size =\"51848192\"]\n  3 [size=\"163481600\", alpha=\"0.08\", expect_size=\"49044480\"] \n  3 -> 39 [size =\"49044480\"]\n  3 -> 44 [size =\"49044480\"]\n  3 -> 49 [size =\"49044480\"]\n  4 [size=\"143653547\", alpha=\"0.10\", expect_size=\"43096064\"] \n  4 -> 44 [size =\"43096064\"]\n  4 -> 49 [size =\"43096064\"]\n  5 [size=\"51411627\", alpha=\"0.08\", expect_size=\"15423488\"] \n  5 -> 38 [size =\"15423488\"]\n  5 -> 49 [size =\"15423488\"]\n  6 [size=\"59518293\", alpha=\"0.03\", expect_size=\"17855488\"] \n  6 -> 42 [size =\"17855488\"]\n  6 -> 47 [size =\"17855488\"]\n  6 -> 49 [size =\"17855488\"]\n  7 [size=\"115138560\", alpha=\"0.19\", expect_size=\"34541568\"] \n  7 -> 35 [size =\"34541568\"]\n  7 -> 37 [size =\"34541568\"]\n  7 -> 41 [size =\"34541568\"]\n  7 -> 42 [size =\"34541568\"]\n  7 -> 45 [size =\"34541568\"]\n  7 -> 49 [size =\"34541568\"]\n  7 -> 50 [size =\"34541568\"]\n  8 [size=\"56285867\", alpha=\"0.19\", expect_size=\"16885760\"] \n  8 -> 38 [size =\"16885760\"]\n  8 -> 39 [size =\"16885760\"]\n  8 -> 42 [size =\"16885760\"]\n  8 -> 48 [size =\"16885760\"]\n  8 -> 49 [size =\"16885760\"]\n  9 [size=\"149981867\", alpha=\"0.08\", expect_size=\"44994560\"] \n  9 -> 38 [size =\"44994560\"]\n  9 -> 39 [size =\"44994560\"]\n  9 -> 41 [size =\"44994560\"]\n  9 -> 42 [size =\"44994560\"]\n  9 -> 47 [size =\"44994560\"]\n  9 -> 49 [size =\"44994560\"]\n  9 -> 50 [size =\"44994560\"]\n  10 [size=\"154972160\", alpha=\"0.19\", expect_size=\"46491648\"] \n  10 -> 40 [size =\"46491648\"]\n  10 -> 41 [size =\"46491648\"]\n  10 -> 42 [size =\"46491648\"]\n  10 -> 43 [size =\"46491648\"]\n  10 -> 45 [size =\"46491648\"]\n  11 [size=\"23394987\", alpha=\"0.01\", expect_size=\"7018496\"] \n  11 -> 35 [size =\"7018496\"]\n  11 -> 39 [size =\"7018496\"]\n  11 -> 41 [size =\"7018496\"]\n  11 -> 46 [size =\"7018496\"]\n  11 -> 47 [size =\"7018496\"]\n  12 [size=\"152756907\", alpha=\"0.08\", expect_size=\"45827072\"] \n  12 -> 35 [size =\"45827072\"]\n  12 -> 38 [size =\"45827072\"]\n  12 -> 39 [size =\"45827072\"]\n  12 -> 41 [size =\"45827072\"]\n  12 -> 42 [size =\"45827072\"]\n  12 -> 43 [size =\"45827072\"]\n  12 -> 47 [size =\"45827072\"]\n  13 [size=\"72181760\", alpha=\"0.18\", expect_size=\"21654528\"] \n  13 -> 35 [size =\"21654528\"]\n  13 -> 39 [size =\"21654528\"]\n  13 -> 41 [size =\"21654528\"]\n  13 -> 43 [size =\"21654528\"]\n  13 -> 45 [size =\"21654528\"]\n  13 -> 47 [size =\"21654528\"]\n  13 -> 49 [size =\"21654528\"]\n  14 [size=\"137267200\", alpha=\"0.13\", expect_size=\"41180160\"] \n  14 -> 39 [size =\"41180160\"]\n  14 -> 41 [size =\"41180160\"]\n  14 -> 42 [size =\"41180160\"]\n  14 -> 43 [size =\"41180160\"]\n  14 -> 46 [size =\"41180160\"]\n  15 [size=\"59019947\", alpha=\"0.04\", expect_size=\"17705984\"] \n  15 -> 35 [size =\"17705984\"]\n  15 -> 42 [size =\"17705984\"]\n  15 -> 43 [size =\"17705984\"]\n  15 -> 46 [size =\"17705984\"]\n  15 -> 47 [size =\"17705984\"]\n  16 [size=\"118381227\", alpha=\"0.15\", expect_size=\"35514368\"] \n  16 -> 39 [size =\"35514368\"]\n  16 -> 42 [size =\"35514368\"]\n  16 -> 43 [size =\"35514368\"]\n  16 -> 49 [size =\"35514368\"]\n  17 [size=\"142568107\", alpha=\"0.14\", expect_size=\"42770432\"] \n  17 -> 35 [size =\"42770432\"]\n  17 -> 41 [size =\"42770432\"]\n  17 -> 42 [size =\"42770432\"]\n  17 -> 49 [size =\"42770432\"]\n  18 [size=\"135973547\", alpha=\"0.11\", expect_size=\"40792064\"] \n  18 -> 35 [size =\"40792064\"]\n  18 -> 41 [size =\"40792064\"]\n  18 -> 44 [size =\"40792064\"]\n  18 -> 47 [size =\"40792064\"]\n  18 -> 49 [size =\"40792064\"]\n  19 [size=\"128269653\", alpha=\"0.02\", expect_size=\"38480896\"] \n  19 -> 35 [size =\"38480896\"]\n  19 -> 39 [size =\"38480896\"]\n  19 -> 44 [size =\"38480896\"]\n  19 -> 49 [size =\"38480896\"]\n  20 [size=\"37376000\", alpha=\"0.00\", expect_size=\"11212800\"] \n  20 -> 35 [size =\"11212800\"]\n  20 -> 38 [size =\"11212800\"]\n  20 -> 42 [size =\"11212800\"]\n  20 -> 49 [size =\"11212800\"]\n  20 -> 50 [size =\"11212800\"]\n  21 [size=\"31918080\", alpha=\"0.18\", expect_size=\"9575424\"] \n  21 -> 41 [size =\"9575424\"]\n  21 -> 48 [size =\"9575424\"]\n  21 -> 50 [size =\"9575424\"]\n  22 [size=\"37526187\", alpha=\"0.16\", expect_size=\"11257856\"] \n  22 -> 35 [size =\"11257856\"]\n  22 -> 41 [size =\"11257856\"]\n  22 -> 42 [size =\"11257856\"]\n  22 -> 43 [size =\"11257856\"]\n  22 -> 45 [size =\"11257856\"]\n  22 -> 47 [size =\"11257856\"]\n  23 [size=\"97293653\", alpha=\"0.12\", expect_size=\"29188096\"] \n  23 -> 41 [size =\"29188096\"]\n  23 -> 42 [size =\"29188096\"]\n  23 -> 47 [size =\"29188096\"]\n  23 -> 48 [size =\"29188096\"]\n  23 -> 50 [size =\"29188096\"]\n  24 [size=\"79346347\", alpha=\"0.05\", expect_size=\"23803904\"] \n  24 -> 35 [size =\"23803904\"]\n  24 -> 47 [size =\"23803904\"]\n  24 -> 50 [size =\"23803904\"]\n  25 [size=\"21043200\", alpha=\"0.01\", expect_size=\"6312960\"] \n  25 -> 35 [size =\"6312960\"]\n  25 -> 38 [size =\"6312960\"]\n  25 -> 41 [size =\"6312960\"]\n  25 -> 43 [size =\"6312960\"]\n  25 -> 44 [size =\"6312960\"]\n  25 -> 45 [size =\"6312960\"]\n  25 -> 50 [size =\"6312960\"]\n  26 [size=\"53654187\", alpha=\"0.03\", expect_size=\"16096256\"] \n  26 -> 35 [size =\"16096256\"]\n  26 -> 44 [size =\"16096256\"]\n  26 -> 46 [size =\"16096256\"]\n  26 -> 50 [size =\"16096256\"]\n  27 [size=\"174376960\", alpha=\"0.18\", expect_size=\"52313088\"] \n  27 -> 44 [size =\"52313088\"]\n  27 -> 44 [size =\"52313088\"]\n  27 -> 47 [size =\"52313088\"]\n  27 -> 50 [size =\"52313088\"]\n  28 [size=\"130392747\", alpha=\"0.17\", expect_size=\"39117824\"] \n  28 -> 35 [size =\"39117824\"]\n  28 -> 39 [size =\"39117824\"]\n  28 -> 45 [size =\"39117824\"]\n  29 [size=\"62457173\", alpha=\"0.13\", expect_size=\"18737152\"] \n  29 -> 36 [size =\"18737152\"]\n  29 -> 39 [size =\"18737152\"]\n  29 -> 41 [size =\"18737152\"]\n  29 -> 43 [size =\"18737152\"]\n  29 -> 44 [size =\"18737152\"]\n  29 -> 45 [size =\"18737152\"]\n  29 -> 49 [size =\"18737152\"]\n  30 [size=\"76277760\", alpha=\"0.07\", expect_size=\"22883328\"] \n  30 -> 41 [size =\"22883328\"]\n  30 -> 50 [size =\"22883328\"]\n  31 [size=\"79278080\", alpha=\"0.01\", expect_size=\"23783424\"] \n  31 -> 44 [size =\"23783424\"]\n  32 [size=\"66232320\", alpha=\"0.13\", expect_size=\"19869696\"] \n  32 -> 35 [size =\"19869696\"]\n  32 -> 36 [size =\"19869696\"]\n  32 -> 39 [size =\"19869696\"]\n  32 -> 42 [size =\"19869696\"]\n  32 -> 45 [size =\"19869696\"]\n  32 -> 46 [size =\"19869696\"]\n  32 -> 47 [size =\"19869696\"]\n  32 -> 50 [size =\"19869696\"]\n  33 [size=\"35208533\", alpha=\"0.12\", expect_size=\"10562560\"] \n  33 -> 39 [size =\"10562560\"]\n  33 -> 49 [size =\"10562560\"]\n  33 -> 50 [size =\"10562560\"]\n  34 [size=\"132215467\", alpha=\"0.05\", expect_size=\"39664640\"] \n  34 -> 39 [size =\"39664640\"]\n  34 -> 41 [size =\"39664640\"]\n  34 -> 44 [size =\"39664640\"]\n  34 -> 47 [size =\"39664640\"]\n  34 -> 50 [size =\"39664640\"]\n  35 [size=\"168857600\", alpha=\"0.04\", expect_size=\"50657280\"] \n  36 [size=\"21790720\", alpha=\"0.16\", expect_size=\"6537216\"] \n  37 [size=\"47626240\", alpha=\"0.04\", expect_size=\"14287872\"] \n  38 [size=\"29460480\", alpha=\"0.07\", expect_size=\"8838144\"] \n  39 [size=\"163382613\", alpha=\"0.04\", expect_size=\"49014784\"] \n  40 [size=\"110045867\", alpha=\"0.04\", expect_size=\"33013760\"] \n  41 [size=\"164235947\", alpha=\"0.05\", expect_size=\"49270784\"] \n  42 [size=\"174581760\", alpha=\"0.09\", expect_size=\"52374528\"] \n  43 [size=\"119087787\", alpha=\"0.03\", expect_size=\"35726336\"] \n  44 [size=\"52456107\", alpha=\"0.05\", expect_size=\"15736832\"] \n  45 [size=\"94481067\", alpha=\"0.07\", expect_size=\"28344320\"] \n  46 [size=\"129423360\", alpha=\"0.14\", expect_size=\"38827008\"] \n  47 [size=\"100901547\", alpha=\"0.01\", expect_size=\"30270464\"] \n  48 [size=\"134007467\", alpha=\"0.02\", expect_size=\"40202240\"] \n  49 [size=\"32672427\", alpha=\"0.09\", expect_size=\"9801728\"] \n  50 [size=\"64969387\", alpha=\"0.04\", expect_size=\"19490816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.934.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"69355520\", alpha=\"0.06\", expect_size=\"27742208\"] \n  1 -> 2 [size =\"27742208\"]\n  2 [size=\"52224000\", alpha=\"0.02\", expect_size=\"20889600\"] \n  2 -> 3 [size =\"20889600\"]\n  3 [size=\"40294400\", alpha=\"0.00\", expect_size=\"16117760\"] \n  3 -> 4 [size =\"16117760\"]\n  4 [size=\"110387200\", alpha=\"0.03\", expect_size=\"44154880\"] \n  4 -> 5 [size =\"44154880\"]\n  5 [size=\"33884160\", alpha=\"0.08\", expect_size=\"13553664\"] \n  5 -> 6 [size =\"13553664\"]\n  6 [size=\"99811840\", alpha=\"0.11\", expect_size=\"39924736\"] \n  6 -> 7 [size =\"39924736\"]\n  7 [size=\"55173120\", alpha=\"0.14\", expect_size=\"22069248\"] \n  7 -> 8 [size =\"22069248\"]\n  8 [size=\"89679360\", alpha=\"0.11\", expect_size=\"35871744\"] \n  8 -> 9 [size =\"35871744\"]\n  9 [size=\"129029120\", alpha=\"0.11\", expect_size=\"51611648\"] \n  9 -> 10 [size =\"51611648\"]\n  10 [size=\"108392960\", alpha=\"0.17\", expect_size=\"43357184\"] \n  10 -> 11 [size =\"43357184\"]\n  11 [size=\"80675840\", alpha=\"0.08\", expect_size=\"32270336\"] \n  11 -> 12 [size =\"32270336\"]\n  12 [size=\"118272000\", alpha=\"0.09\", expect_size=\"47308800\"] \n  12 -> 13 [size =\"47308800\"]\n  13 [size=\"14090240\", alpha=\"0.14\", expect_size=\"5636096\"] \n  13 -> 14 [size =\"5636096\"]\n  14 [size=\"16151040\", alpha=\"0.00\", expect_size=\"6460416\"] \n  14 -> 15 [size =\"6460416\"]\n  15 [size=\"36083200\", alpha=\"0.15\", expect_size=\"14433280\"] \n  15 -> 16 [size =\"14433280\"]\n  16 [size=\"82163200\", alpha=\"0.14\", expect_size=\"32865280\"] \n  16 -> 17 [size =\"32865280\"]\n  17 [size=\"27827200\", alpha=\"0.08\", expect_size=\"11130880\"] \n  17 -> 18 [size =\"11130880\"]\n  18 [size=\"113331200\", alpha=\"0.04\", expect_size=\"45332480\"] \n  18 -> 19 [size =\"45332480\"]\n  19 [size=\"58257920\", alpha=\"0.17\", expect_size=\"23303168\"] \n  19 -> 20 [size =\"23303168\"]\n  20 [size=\"121584640\", alpha=\"0.09\", expect_size=\"48633856\"] \n  20 -> 21 [size =\"48633856\"]\n  21 [size=\"101760000\", alpha=\"0.11\", expect_size=\"40704000\"] \n  21 -> 22 [size =\"40704000\"]\n  22 [size=\"29504000\", alpha=\"0.00\", expect_size=\"11801600\"] \n  22 -> 23 [size =\"11801600\"]\n  23 [size=\"79720960\", alpha=\"0.13\", expect_size=\"31888384\"] \n  23 -> 24 [size =\"31888384\"]\n  24 [size=\"46476800\", alpha=\"0.03\", expect_size=\"18590720\"] \n  24 -> 25 [size =\"18590720\"]\n  25 [size=\"46848000\", alpha=\"0.16\", expect_size=\"18739200\"] \n  25 -> 26 [size =\"18739200\"]\n  26 [size=\"19486720\", alpha=\"0.04\", expect_size=\"7794688\"] \n  26 -> 27 [size =\"7794688\"]\n  27 [size=\"102156800\", alpha=\"0.19\", expect_size=\"40862720\"] \n  27 -> 28 [size =\"40862720\"]\n  28 [size=\"28531200\", alpha=\"0.08\", expect_size=\"11412480\"] \n  28 -> 29 [size =\"11412480\"]\n  29 [size=\"54714880\", alpha=\"0.15\", expect_size=\"21885952\"] \n  29 -> 30 [size =\"21885952\"]\n  30 [size=\"35860480\", alpha=\"0.19\", expect_size=\"14344192\"] \n  30 -> 31 [size =\"14344192\"]\n  31 [size=\"90728960\", alpha=\"0.15\", expect_size=\"36291584\"] \n  31 -> 32 [size =\"36291584\"]\n  32 [size=\"39636480\", alpha=\"0.08\", expect_size=\"15854592\"] \n  32 -> 33 [size =\"15854592\"]\n  33 [size=\"39667200\", alpha=\"0.01\", expect_size=\"15866880\"] \n  33 -> 34 [size =\"15866880\"]\n  34 [size=\"118008320\", alpha=\"0.15\", expect_size=\"47203328\"] \n  34 -> 35 [size =\"47203328\"]\n  35 [size=\"18050560\", alpha=\"0.13\", expect_size=\"7220224\"] \n  35 -> 36 [size =\"7220224\"]\n  36 [size=\"114462720\", alpha=\"0.02\", expect_size=\"45785088\"] \n  36 -> 37 [size =\"45785088\"]\n  37 [size=\"22095360\", alpha=\"0.14\", expect_size=\"8838144\"] \n  37 -> 38 [size =\"8838144\"]\n  38 [size=\"18938880\", alpha=\"0.03\", expect_size=\"7575552\"] \n  38 -> 39 [size =\"7575552\"]\n  39 [size=\"63608320\", alpha=\"0.20\", expect_size=\"25443328\"] \n  39 -> 40 [size =\"25443328\"]\n  40 [size=\"36093440\", alpha=\"0.15\", expect_size=\"14437376\"] \n  40 -> 41 [size =\"14437376\"]\n  41 [size=\"31680000\", alpha=\"0.05\", expect_size=\"12672000\"] \n  41 -> 42 [size =\"12672000\"]\n  42 [size=\"117944320\", alpha=\"0.18\", expect_size=\"47177728\"] \n  42 -> 43 [size =\"47177728\"]\n  43 [size=\"46151680\", alpha=\"0.02\", expect_size=\"18460672\"] \n  43 -> 44 [size =\"18460672\"]\n  44 [size=\"53217280\", alpha=\"0.12\", expect_size=\"21286912\"] \n  44 -> 45 [size =\"21286912\"]\n  45 [size=\"24220160\", alpha=\"0.07\", expect_size=\"9688064\"] \n  45 -> 46 [size =\"9688064\"]\n  46 [size=\"100103680\", alpha=\"0.04\", expect_size=\"40041472\"] \n  46 -> 47 [size =\"40041472\"]\n  47 [size=\"113994240\", alpha=\"0.16\", expect_size=\"45597696\"] \n  47 -> 48 [size =\"45597696\"]\n  48 [size=\"80614400\", alpha=\"0.10\", expect_size=\"32245760\"] \n  48 -> 49 [size =\"32245760\"]\n  49 [size=\"100188160\", alpha=\"0.11\", expect_size=\"40075264\"] \n  49 -> 50 [size =\"40075264\"]\n  50 [size=\"99906560\", alpha=\"0.16\", expect_size=\"39962624\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.935.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41601707\", alpha=\"0.09\", expect_size=\"12480512\"] \n  1 -> 13 [size =\"12480512\"]\n  1 -> 14 [size =\"12480512\"]\n  2 [size=\"88814933\", alpha=\"0.14\", expect_size=\"26644480\"] \n  3 [size=\"125480960\", alpha=\"0.12\", expect_size=\"37644288\"] \n  3 -> 7 [size =\"37644288\"]\n  3 -> 8 [size =\"37644288\"]\n  3 -> 10 [size =\"37644288\"]\n  3 -> 12 [size =\"37644288\"]\n  4 [size=\"69338453\", alpha=\"0.16\", expect_size=\"20801536\"] \n  4 -> 7 [size =\"20801536\"]\n  4 -> 9 [size =\"20801536\"]\n  4 -> 11 [size =\"20801536\"]\n  4 -> 13 [size =\"20801536\"]\n  5 [size=\"83025920\", alpha=\"0.16\", expect_size=\"24907776\"] \n  6 [size=\"133679787\", alpha=\"0.18\", expect_size=\"40103936\"] \n  6 -> 9 [size =\"40103936\"]\n  6 -> 14 [size =\"40103936\"]\n  7 [size=\"126078293\", alpha=\"0.16\", expect_size=\"37823488\"] \n  7 -> 19 [size =\"37823488\"]\n  7 -> 20 [size =\"37823488\"]\n  7 -> 21 [size =\"37823488\"]\n  8 [size=\"118155947\", alpha=\"0.06\", expect_size=\"35446784\"] \n  8 -> 15 [size =\"35446784\"]\n  8 -> 16 [size =\"35446784\"]\n  8 -> 18 [size =\"35446784\"]\n  8 -> 19 [size =\"35446784\"]\n  9 [size=\"89466880\", alpha=\"0.03\", expect_size=\"26840064\"] \n  9 -> 15 [size =\"26840064\"]\n  9 -> 18 [size =\"26840064\"]\n  10 [size=\"99024213\", alpha=\"0.18\", expect_size=\"29707264\"] \n  10 -> 21 [size =\"29707264\"]\n  11 [size=\"47172267\", alpha=\"0.15\", expect_size=\"14151680\"] \n  11 -> 17 [size =\"14151680\"]\n  11 -> 21 [size =\"14151680\"]\n  12 [size=\"118681600\", alpha=\"0.02\", expect_size=\"35604480\"] \n  12 -> 19 [size =\"35604480\"]\n  13 [size=\"73557333\", alpha=\"0.11\", expect_size=\"22067200\"] \n  13 -> 21 [size =\"22067200\"]\n  14 [size=\"169185280\", alpha=\"0.18\", expect_size=\"50755584\"] \n  14 -> 15 [size =\"50755584\"]\n  14 -> 19 [size =\"50755584\"]\n  14 -> 20 [size =\"50755584\"]\n  15 [size=\"138687147\", alpha=\"0.11\", expect_size=\"41606144\"] \n  15 -> 25 [size =\"41606144\"]\n  15 -> 29 [size =\"41606144\"]\n  16 [size=\"103331840\", alpha=\"0.07\", expect_size=\"30999552\"] \n  16 -> 22 [size =\"30999552\"]\n  16 -> 24 [size =\"30999552\"]\n  16 -> 25 [size =\"30999552\"]\n  16 -> 27 [size =\"30999552\"]\n  16 -> 28 [size =\"30999552\"]\n  16 -> 29 [size =\"30999552\"]\n  17 [size=\"83715413\", alpha=\"0.13\", expect_size=\"25114624\"] \n  17 -> 23 [size =\"25114624\"]\n  17 -> 26 [size =\"25114624\"]\n  18 [size=\"52350293\", alpha=\"0.01\", expect_size=\"15705088\"] \n  18 -> 25 [size =\"15705088\"]\n  18 -> 28 [size =\"15705088\"]\n  19 [size=\"96194560\", alpha=\"0.03\", expect_size=\"28858368\"] \n  19 -> 28 [size =\"28858368\"]\n  20 [size=\"116852053\", alpha=\"0.12\", expect_size=\"35055616\"] \n  20 -> 25 [size =\"35055616\"]\n  20 -> 29 [size =\"35055616\"]\n  21 [size=\"104574293\", alpha=\"0.04\", expect_size=\"31372288\"] \n  21 -> 23 [size =\"31372288\"]\n  21 -> 29 [size =\"31372288\"]\n  22 [size=\"68263253\", alpha=\"0.05\", expect_size=\"20478976\"] \n  22 -> 30 [size =\"20478976\"]\n  23 [size=\"87302827\", alpha=\"0.00\", expect_size=\"26190848\"] \n  23 -> 30 [size =\"26190848\"]\n  23 -> 34 [size =\"26190848\"]\n  24 [size=\"172482560\", alpha=\"0.02\", expect_size=\"51744768\"] \n  24 -> 30 [size =\"51744768\"]\n  25 [size=\"153545387\", alpha=\"0.12\", expect_size=\"46063616\"] \n  25 -> 31 [size =\"46063616\"]\n  25 -> 32 [size =\"46063616\"]\n  25 -> 34 [size =\"46063616\"]\n  26 [size=\"83636907\", alpha=\"0.17\", expect_size=\"25091072\"] \n  26 -> 32 [size =\"25091072\"]\n  26 -> 34 [size =\"25091072\"]\n  27 [size=\"135417173\", alpha=\"0.16\", expect_size=\"40625152\"] \n  27 -> 33 [size =\"40625152\"]\n  28 [size=\"78827520\", alpha=\"0.07\", expect_size=\"23648256\"] \n  29 [size=\"86166187\", alpha=\"0.07\", expect_size=\"25849856\"] \n  29 -> 30 [size =\"25849856\"]\n  29 -> 32 [size =\"25849856\"]\n  29 -> 33 [size =\"25849856\"]\n  30 [size=\"107021653\", alpha=\"0.18\", expect_size=\"32106496\"] \n  30 -> 38 [size =\"32106496\"]\n  30 -> 39 [size =\"32106496\"]\n  31 [size=\"42874880\", alpha=\"0.13\", expect_size=\"12862464\"] \n  31 -> 35 [size =\"12862464\"]\n  31 -> 36 [size =\"12862464\"]\n  31 -> 38 [size =\"12862464\"]\n  32 [size=\"75137707\", alpha=\"0.01\", expect_size=\"22541312\"] \n  32 -> 35 [size =\"22541312\"]\n  32 -> 40 [size =\"22541312\"]\n  33 [size=\"117858987\", alpha=\"0.15\", expect_size=\"35357696\"] \n  33 -> 36 [size =\"35357696\"]\n  33 -> 37 [size =\"35357696\"]\n  33 -> 39 [size =\"35357696\"]\n  33 -> 40 [size =\"35357696\"]\n  34 [size=\"121767253\", alpha=\"0.09\", expect_size=\"36530176\"] \n  34 -> 39 [size =\"36530176\"]\n  35 [size=\"138721280\", alpha=\"0.19\", expect_size=\"41616384\"] \n  35 -> 42 [size =\"41616384\"]\n  35 -> 43 [size =\"41616384\"]\n  35 -> 47 [size =\"41616384\"]\n  36 [size=\"76987733\", alpha=\"0.19\", expect_size=\"23096320\"] \n  36 -> 43 [size =\"23096320\"]\n  36 -> 43 [size =\"23096320\"]\n  36 -> 46 [size =\"23096320\"]\n  36 -> 47 [size =\"23096320\"]\n  37 [size=\"52770133\", alpha=\"0.08\", expect_size=\"15831040\"] \n  37 -> 41 [size =\"15831040\"]\n  37 -> 42 [size =\"15831040\"]\n  37 -> 46 [size =\"15831040\"]\n  37 -> 48 [size =\"15831040\"]\n  38 [size=\"174673920\", alpha=\"0.01\", expect_size=\"52402176\"] \n  38 -> 41 [size =\"52402176\"]\n  38 -> 44 [size =\"52402176\"]\n  38 -> 45 [size =\"52402176\"]\n  38 -> 47 [size =\"52402176\"]\n  39 [size=\"71519573\", alpha=\"0.04\", expect_size=\"21455872\"] \n  39 -> 41 [size =\"21455872\"]\n  39 -> 45 [size =\"21455872\"]\n  40 [size=\"129873920\", alpha=\"0.20\", expect_size=\"38962176\"] \n  41 [size=\"116712107\", alpha=\"0.07\", expect_size=\"35013632\"] \n  41 -> 50 [size =\"35013632\"]\n  42 [size=\"61733547\", alpha=\"0.00\", expect_size=\"18520064\"] \n  43 [size=\"66146987\", alpha=\"0.02\", expect_size=\"19844096\"] \n  44 [size=\"28743680\", alpha=\"0.04\", expect_size=\"8623104\"] \n  45 [size=\"101236053\", alpha=\"0.03\", expect_size=\"30370816\"] \n  45 -> 49 [size =\"30370816\"]\n  46 [size=\"90262187\", alpha=\"0.11\", expect_size=\"27078656\"] \n  46 -> 49 [size =\"27078656\"]\n  47 [size=\"81681067\", alpha=\"0.14\", expect_size=\"24504320\"] \n  48 [size=\"141731840\", alpha=\"0.04\", expect_size=\"42519552\"] \n  49 [size=\"148005547\", alpha=\"0.03\", expect_size=\"44401664\"] \n  50 [size=\"21930667\", alpha=\"0.14\", expect_size=\"6579200\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.936.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"162891093\", alpha=\"0.10\", expect_size=\"48867328\"] \n  1 -> 20 [size =\"48867328\"]\n  1 -> 27 [size =\"48867328\"]\n  1 -> 27 [size =\"48867328\"]\n  1 -> 28 [size =\"48867328\"]\n  1 -> 33 [size =\"48867328\"]\n  2 [size=\"57627307\", alpha=\"0.00\", expect_size=\"17288192\"] \n  2 -> 20 [size =\"17288192\"]\n  2 -> 27 [size =\"17288192\"]\n  2 -> 33 [size =\"17288192\"]\n  3 [size=\"91002880\", alpha=\"0.13\", expect_size=\"27300864\"] \n  3 -> 22 [size =\"27300864\"]\n  3 -> 23 [size =\"27300864\"]\n  3 -> 24 [size =\"27300864\"]\n  3 -> 25 [size =\"27300864\"]\n  3 -> 27 [size =\"27300864\"]\n  3 -> 28 [size =\"27300864\"]\n  4 [size=\"144783360\", alpha=\"0.07\", expect_size=\"43435008\"] \n  4 -> 18 [size =\"43435008\"]\n  4 -> 20 [size =\"43435008\"]\n  4 -> 22 [size =\"43435008\"]\n  4 -> 23 [size =\"43435008\"]\n  4 -> 24 [size =\"43435008\"]\n  4 -> 26 [size =\"43435008\"]\n  4 -> 32 [size =\"43435008\"]\n  4 -> 33 [size =\"43435008\"]\n  4 -> 34 [size =\"43435008\"]\n  5 [size=\"90238293\", alpha=\"0.04\", expect_size=\"27071488\"] \n  5 -> 19 [size =\"27071488\"]\n  5 -> 22 [size =\"27071488\"]\n  5 -> 23 [size =\"27071488\"]\n  5 -> 25 [size =\"27071488\"]\n  5 -> 30 [size =\"27071488\"]\n  5 -> 32 [size =\"27071488\"]\n  6 [size=\"36280320\", alpha=\"0.05\", expect_size=\"10884096\"] \n  6 -> 22 [size =\"10884096\"]\n  6 -> 22 [size =\"10884096\"]\n  6 -> 24 [size =\"10884096\"]\n  6 -> 29 [size =\"10884096\"]\n  6 -> 30 [size =\"10884096\"]\n  6 -> 34 [size =\"10884096\"]\n  7 [size=\"122654720\", alpha=\"0.14\", expect_size=\"36796416\"] \n  7 -> 20 [size =\"36796416\"]\n  7 -> 22 [size =\"36796416\"]\n  7 -> 24 [size =\"36796416\"]\n  7 -> 27 [size =\"36796416\"]\n  7 -> 29 [size =\"36796416\"]\n  7 -> 31 [size =\"36796416\"]\n  7 -> 32 [size =\"36796416\"]\n  7 -> 34 [size =\"36796416\"]\n  8 [size=\"67717120\", alpha=\"0.14\", expect_size=\"20315136\"] \n  8 -> 22 [size =\"20315136\"]\n  8 -> 22 [size =\"20315136\"]\n  8 -> 28 [size =\"20315136\"]\n  8 -> 32 [size =\"20315136\"]\n  8 -> 33 [size =\"20315136\"]\n  8 -> 34 [size =\"20315136\"]\n  9 [size=\"91156480\", alpha=\"0.02\", expect_size=\"27346944\"] \n  9 -> 18 [size =\"27346944\"]\n  9 -> 20 [size =\"27346944\"]\n  9 -> 26 [size =\"27346944\"]\n  9 -> 28 [size =\"27346944\"]\n  9 -> 30 [size =\"27346944\"]\n  10 [size=\"42649600\", alpha=\"0.08\", expect_size=\"12794880\"] \n  10 -> 20 [size =\"12794880\"]\n  10 -> 20 [size =\"12794880\"]\n  10 -> 28 [size =\"12794880\"]\n  10 -> 30 [size =\"12794880\"]\n  10 -> 32 [size =\"12794880\"]\n  10 -> 34 [size =\"12794880\"]\n  11 [size=\"40884907\", alpha=\"0.14\", expect_size=\"12265472\"] \n  11 -> 20 [size =\"12265472\"]\n  11 -> 23 [size =\"12265472\"]\n  11 -> 28 [size =\"12265472\"]\n  11 -> 33 [size =\"12265472\"]\n  11 -> 34 [size =\"12265472\"]\n  12 [size=\"120767147\", alpha=\"0.09\", expect_size=\"36230144\"] \n  12 -> 20 [size =\"36230144\"]\n  12 -> 22 [size =\"36230144\"]\n  12 -> 23 [size =\"36230144\"]\n  12 -> 24 [size =\"36230144\"]\n  12 -> 27 [size =\"36230144\"]\n  12 -> 28 [size =\"36230144\"]\n  13 [size=\"122480640\", alpha=\"0.05\", expect_size=\"36744192\"] \n  13 -> 20 [size =\"36744192\"]\n  13 -> 28 [size =\"36744192\"]\n  13 -> 29 [size =\"36744192\"]\n  13 -> 32 [size =\"36744192\"]\n  13 -> 34 [size =\"36744192\"]\n  14 [size=\"67078827\", alpha=\"0.18\", expect_size=\"20123648\"] \n  14 -> 18 [size =\"20123648\"]\n  14 -> 22 [size =\"20123648\"]\n  14 -> 23 [size =\"20123648\"]\n  14 -> 24 [size =\"20123648\"]\n  14 -> 26 [size =\"20123648\"]\n  14 -> 27 [size =\"20123648\"]\n  15 [size=\"119251627\", alpha=\"0.15\", expect_size=\"35775488\"] \n  15 -> 19 [size =\"35775488\"]\n  15 -> 20 [size =\"35775488\"]\n  15 -> 21 [size =\"35775488\"]\n  15 -> 27 [size =\"35775488\"]\n  15 -> 30 [size =\"35775488\"]\n  15 -> 32 [size =\"35775488\"]\n  16 [size=\"153057280\", alpha=\"0.16\", expect_size=\"45917184\"] \n  16 -> 18 [size =\"45917184\"]\n  16 -> 23 [size =\"45917184\"]\n  16 -> 24 [size =\"45917184\"]\n  16 -> 25 [size =\"45917184\"]\n  16 -> 27 [size =\"45917184\"]\n  16 -> 34 [size =\"45917184\"]\n  17 [size=\"38720853\", alpha=\"0.05\", expect_size=\"11616256\"] \n  17 -> 19 [size =\"11616256\"]\n  17 -> 23 [size =\"11616256\"]\n  17 -> 27 [size =\"11616256\"]\n  17 -> 28 [size =\"11616256\"]\n  17 -> 29 [size =\"11616256\"]\n  17 -> 34 [size =\"11616256\"]\n  18 [size=\"151872853\", alpha=\"0.17\", expect_size=\"45561856\"] \n  18 -> 35 [size =\"45561856\"]\n  18 -> 36 [size =\"45561856\"]\n  18 -> 39 [size =\"45561856\"]\n  18 -> 42 [size =\"45561856\"]\n  18 -> 44 [size =\"45561856\"]\n  19 [size=\"102468267\", alpha=\"0.12\", expect_size=\"30740480\"] \n  19 -> 36 [size =\"30740480\"]\n  19 -> 36 [size =\"30740480\"]\n  20 [size=\"121224533\", alpha=\"0.00\", expect_size=\"36367360\"] \n  20 -> 35 [size =\"36367360\"]\n  20 -> 36 [size =\"36367360\"]\n  20 -> 42 [size =\"36367360\"]\n  20 -> 45 [size =\"36367360\"]\n  21 [size=\"26886827\", alpha=\"0.06\", expect_size=\"8066048\"] \n  21 -> 35 [size =\"8066048\"]\n  21 -> 45 [size =\"8066048\"]\n  22 [size=\"138707627\", alpha=\"0.18\", expect_size=\"41612288\"] \n  22 -> 35 [size =\"41612288\"]\n  22 -> 39 [size =\"41612288\"]\n  22 -> 41 [size =\"41612288\"]\n  23 [size=\"55323307\", alpha=\"0.18\", expect_size=\"16596992\"] \n  23 -> 35 [size =\"16596992\"]\n  23 -> 41 [size =\"16596992\"]\n  23 -> 45 [size =\"16596992\"]\n  24 [size=\"93194240\", alpha=\"0.15\", expect_size=\"27958272\"] \n  24 -> 38 [size =\"27958272\"]\n  24 -> 42 [size =\"27958272\"]\n  24 -> 44 [size =\"27958272\"]\n  24 -> 45 [size =\"27958272\"]\n  25 [size=\"77929813\", alpha=\"0.02\", expect_size=\"23378944\"] \n  25 -> 37 [size =\"23378944\"]\n  25 -> 41 [size =\"23378944\"]\n  25 -> 42 [size =\"23378944\"]\n  25 -> 44 [size =\"23378944\"]\n  26 [size=\"38932480\", alpha=\"0.10\", expect_size=\"11679744\"] \n  26 -> 35 [size =\"11679744\"]\n  26 -> 36 [size =\"11679744\"]\n  26 -> 39 [size =\"11679744\"]\n  26 -> 43 [size =\"11679744\"]\n  26 -> 44 [size =\"11679744\"]\n  26 -> 45 [size =\"11679744\"]\n  27 [size=\"165174613\", alpha=\"0.12\", expect_size=\"49552384\"] \n  27 -> 35 [size =\"49552384\"]\n  27 -> 39 [size =\"49552384\"]\n  27 -> 44 [size =\"49552384\"]\n  28 [size=\"50452480\", alpha=\"0.00\", expect_size=\"15135744\"] \n  28 -> 35 [size =\"15135744\"]\n  29 [size=\"29231787\", alpha=\"0.18\", expect_size=\"8769536\"] \n  29 -> 37 [size =\"8769536\"]\n  29 -> 39 [size =\"8769536\"]\n  29 -> 45 [size =\"8769536\"]\n  30 [size=\"125856427\", alpha=\"0.19\", expect_size=\"37756928\"] \n  30 -> 37 [size =\"37756928\"]\n  30 -> 40 [size =\"37756928\"]\n  30 -> 44 [size =\"37756928\"]\n  31 [size=\"126443520\", alpha=\"0.03\", expect_size=\"37933056\"] \n  31 -> 36 [size =\"37933056\"]\n  31 -> 37 [size =\"37933056\"]\n  31 -> 40 [size =\"37933056\"]\n  31 -> 41 [size =\"37933056\"]\n  31 -> 44 [size =\"37933056\"]\n  31 -> 45 [size =\"37933056\"]\n  32 [size=\"19121493\", alpha=\"0.20\", expect_size=\"5736448\"] \n  32 -> 35 [size =\"5736448\"]\n  32 -> 36 [size =\"5736448\"]\n  32 -> 37 [size =\"5736448\"]\n  32 -> 42 [size =\"5736448\"]\n  32 -> 45 [size =\"5736448\"]\n  33 [size=\"158617600\", alpha=\"0.10\", expect_size=\"47585280\"] \n  33 -> 35 [size =\"47585280\"]\n  33 -> 37 [size =\"47585280\"]\n  33 -> 37 [size =\"47585280\"]\n  33 -> 38 [size =\"47585280\"]\n  33 -> 45 [size =\"47585280\"]\n  34 [size=\"146602667\", alpha=\"0.07\", expect_size=\"43980800\"] \n  34 -> 35 [size =\"43980800\"]\n  34 -> 37 [size =\"43980800\"]\n  34 -> 45 [size =\"43980800\"]\n  35 [size=\"110387200\", alpha=\"0.17\", expect_size=\"33116160\"] \n  35 -> 46 [size =\"33116160\"]\n  36 [size=\"122729813\", alpha=\"0.03\", expect_size=\"36818944\"] \n  36 -> 46 [size =\"36818944\"]\n  37 [size=\"45154987\", alpha=\"0.13\", expect_size=\"13546496\"] \n  37 -> 47 [size =\"13546496\"]\n  37 -> 48 [size =\"13546496\"]\n  37 -> 49 [size =\"13546496\"]\n  38 [size=\"140124160\", alpha=\"0.20\", expect_size=\"42037248\"] \n  38 -> 46 [size =\"42037248\"]\n  38 -> 49 [size =\"42037248\"]\n  38 -> 49 [size =\"42037248\"]\n  39 [size=\"143308800\", alpha=\"0.17\", expect_size=\"42992640\"] \n  39 -> 46 [size =\"42992640\"]\n  39 -> 48 [size =\"42992640\"]\n  40 [size=\"128395947\", alpha=\"0.08\", expect_size=\"38518784\"] \n  40 -> 46 [size =\"38518784\"]\n  40 -> 50 [size =\"38518784\"]\n  41 [size=\"120555520\", alpha=\"0.20\", expect_size=\"36166656\"] \n  41 -> 50 [size =\"36166656\"]\n  42 [size=\"143199573\", alpha=\"0.07\", expect_size=\"42959872\"] \n  43 [size=\"142332587\", alpha=\"0.19\", expect_size=\"42699776\"] \n  44 [size=\"65679360\", alpha=\"0.01\", expect_size=\"19703808\"] \n  44 -> 46 [size =\"19703808\"]\n  45 [size=\"120128853\", alpha=\"0.10\", expect_size=\"36038656\"] \n  45 -> 49 [size =\"36038656\"]\n  46 [size=\"92880213\", alpha=\"0.02\", expect_size=\"27864064\"] \n  47 [size=\"119521280\", alpha=\"0.13\", expect_size=\"35856384\"] \n  48 [size=\"64010240\", alpha=\"0.08\", expect_size=\"19203072\"] \n  49 [size=\"60747093\", alpha=\"0.05\", expect_size=\"18224128\"] \n  50 [size=\"37437440\", alpha=\"0.15\", expect_size=\"11231232\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.937.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27086848\", alpha=\"0.10\", expect_size=\"13543424\"] \n  1 -> 7 [size =\"13543424\"]\n  1 -> 10 [size =\"13543424\"]\n  1 -> 11 [size =\"13543424\"]\n  1 -> 12 [size =\"13543424\"]\n  1 -> 14 [size =\"13543424\"]\n  2 [size=\"81930240\", alpha=\"0.19\", expect_size=\"40965120\"] \n  2 -> 8 [size =\"40965120\"]\n  2 -> 9 [size =\"40965120\"]\n  2 -> 12 [size =\"40965120\"]\n  2 -> 14 [size =\"40965120\"]\n  3 [size=\"70641664\", alpha=\"0.10\", expect_size=\"35320832\"] \n  3 -> 7 [size =\"35320832\"]\n  3 -> 8 [size =\"35320832\"]\n  3 -> 9 [size =\"35320832\"]\n  3 -> 10 [size =\"35320832\"]\n  3 -> 13 [size =\"35320832\"]\n  4 [size=\"23914496\", alpha=\"0.02\", expect_size=\"11957248\"] \n  4 -> 7 [size =\"11957248\"]\n  4 -> 8 [size =\"11957248\"]\n  4 -> 9 [size =\"11957248\"]\n  4 -> 13 [size =\"11957248\"]\n  4 -> 13 [size =\"11957248\"]\n  4 -> 14 [size =\"11957248\"]\n  5 [size=\"82962432\", alpha=\"0.06\", expect_size=\"41481216\"] \n  5 -> 8 [size =\"41481216\"]\n  5 -> 10 [size =\"41481216\"]\n  5 -> 13 [size =\"41481216\"]\n  5 -> 13 [size =\"41481216\"]\n  5 -> 14 [size =\"41481216\"]\n  6 [size=\"18200576\", alpha=\"0.05\", expect_size=\"9100288\"] \n  6 -> 7 [size =\"9100288\"]\n  6 -> 8 [size =\"9100288\"]\n  6 -> 11 [size =\"9100288\"]\n  6 -> 13 [size =\"9100288\"]\n  7 [size=\"31645696\", alpha=\"0.15\", expect_size=\"15822848\"] \n  7 -> 16 [size =\"15822848\"]\n  7 -> 17 [size =\"15822848\"]\n  7 -> 17 [size =\"15822848\"]\n  8 [size=\"75730944\", alpha=\"0.00\", expect_size=\"37865472\"] \n  8 -> 16 [size =\"37865472\"]\n  8 -> 17 [size =\"37865472\"]\n  8 -> 19 [size =\"37865472\"]\n  9 [size=\"64376832\", alpha=\"0.09\", expect_size=\"32188416\"] \n  9 -> 16 [size =\"32188416\"]\n  10 [size=\"85807104\", alpha=\"0.01\", expect_size=\"42903552\"] \n  10 -> 16 [size =\"42903552\"]\n  11 [size=\"99123200\", alpha=\"0.17\", expect_size=\"49561600\"] \n  11 -> 16 [size =\"49561600\"]\n  12 [size=\"51650560\", alpha=\"0.04\", expect_size=\"25825280\"] \n  12 -> 17 [size =\"25825280\"]\n  12 -> 19 [size =\"25825280\"]\n  13 [size=\"48472064\", alpha=\"0.08\", expect_size=\"24236032\"] \n  13 -> 17 [size =\"24236032\"]\n  13 -> 18 [size =\"24236032\"]\n  14 [size=\"96567296\", alpha=\"0.04\", expect_size=\"48283648\"] \n  14 -> 15 [size =\"48283648\"]\n  14 -> 16 [size =\"48283648\"]\n  14 -> 17 [size =\"48283648\"]\n  15 [size=\"12396544\", alpha=\"0.18\", expect_size=\"6198272\"] \n  15 -> 20 [size =\"6198272\"]\n  15 -> 22 [size =\"6198272\"]\n  15 -> 23 [size =\"6198272\"]\n  15 -> 24 [size =\"6198272\"]\n  15 -> 25 [size =\"6198272\"]\n  16 [size=\"38932480\", alpha=\"0.06\", expect_size=\"19466240\"] \n  16 -> 21 [size =\"19466240\"]\n  16 -> 22 [size =\"19466240\"]\n  16 -> 24 [size =\"19466240\"]\n  16 -> 24 [size =\"19466240\"]\n  16 -> 25 [size =\"19466240\"]\n  17 [size=\"63715328\", alpha=\"0.02\", expect_size=\"31857664\"] \n  17 -> 20 [size =\"31857664\"]\n  17 -> 21 [size =\"31857664\"]\n  17 -> 23 [size =\"31857664\"]\n  18 [size=\"40386560\", alpha=\"0.01\", expect_size=\"20193280\"] \n  18 -> 20 [size =\"20193280\"]\n  18 -> 22 [size =\"20193280\"]\n  18 -> 24 [size =\"20193280\"]\n  18 -> 25 [size =\"20193280\"]\n  19 [size=\"42389504\", alpha=\"0.04\", expect_size=\"21194752\"] \n  19 -> 20 [size =\"21194752\"]\n  19 -> 22 [size =\"21194752\"]\n  19 -> 24 [size =\"21194752\"]\n  20 [size=\"86970368\", alpha=\"0.07\", expect_size=\"43485184\"] \n  20 -> 27 [size =\"43485184\"]\n  20 -> 27 [size =\"43485184\"]\n  20 -> 28 [size =\"43485184\"]\n  20 -> 29 [size =\"43485184\"]\n  21 [size=\"93173760\", alpha=\"0.14\", expect_size=\"46586880\"] \n  21 -> 27 [size =\"46586880\"]\n  21 -> 28 [size =\"46586880\"]\n  21 -> 29 [size =\"46586880\"]\n  22 [size=\"77461504\", alpha=\"0.15\", expect_size=\"38730752\"] \n  22 -> 26 [size =\"38730752\"]\n  22 -> 27 [size =\"38730752\"]\n  23 [size=\"95248384\", alpha=\"0.09\", expect_size=\"47624192\"] \n  23 -> 26 [size =\"47624192\"]\n  23 -> 29 [size =\"47624192\"]\n  23 -> 30 [size =\"47624192\"]\n  24 [size=\"38901760\", alpha=\"0.06\", expect_size=\"19450880\"] \n  24 -> 26 [size =\"19450880\"]\n  24 -> 27 [size =\"19450880\"]\n  24 -> 29 [size =\"19450880\"]\n  25 [size=\"57968640\", alpha=\"0.18\", expect_size=\"28984320\"] \n  25 -> 26 [size =\"28984320\"]\n  25 -> 27 [size =\"28984320\"]\n  25 -> 29 [size =\"28984320\"]\n  26 [size=\"47872000\", alpha=\"0.12\", expect_size=\"23936000\"] \n  26 -> 31 [size =\"23936000\"]\n  26 -> 33 [size =\"23936000\"]\n  26 -> 33 [size =\"23936000\"]\n  26 -> 34 [size =\"23936000\"]\n  26 -> 37 [size =\"23936000\"]\n  26 -> 38 [size =\"23936000\"]\n  27 [size=\"76855296\", alpha=\"0.11\", expect_size=\"38427648\"] \n  27 -> 33 [size =\"38427648\"]\n  27 -> 34 [size =\"38427648\"]\n  27 -> 35 [size =\"38427648\"]\n  27 -> 36 [size =\"38427648\"]\n  27 -> 37 [size =\"38427648\"]\n  27 -> 38 [size =\"38427648\"]\n  28 [size=\"84983808\", alpha=\"0.03\", expect_size=\"42491904\"] \n  28 -> 35 [size =\"42491904\"]\n  28 -> 36 [size =\"42491904\"]\n  28 -> 38 [size =\"42491904\"]\n  29 [size=\"90718208\", alpha=\"0.07\", expect_size=\"45359104\"] \n  29 -> 31 [size =\"45359104\"]\n  29 -> 36 [size =\"45359104\"]\n  29 -> 37 [size =\"45359104\"]\n  29 -> 38 [size =\"45359104\"]\n  30 [size=\"17565696\", alpha=\"0.07\", expect_size=\"8782848\"] \n  30 -> 31 [size =\"8782848\"]\n  30 -> 32 [size =\"8782848\"]\n  30 -> 33 [size =\"8782848\"]\n  30 -> 35 [size =\"8782848\"]\n  30 -> 36 [size =\"8782848\"]\n  30 -> 37 [size =\"8782848\"]\n  30 -> 38 [size =\"8782848\"]\n  31 [size=\"51791872\", alpha=\"0.05\", expect_size=\"25895936\"] \n  31 -> 39 [size =\"25895936\"]\n  31 -> 42 [size =\"25895936\"]\n  31 -> 42 [size =\"25895936\"]\n  31 -> 44 [size =\"25895936\"]\n  31 -> 45 [size =\"25895936\"]\n  32 [size=\"21254144\", alpha=\"0.12\", expect_size=\"10627072\"] \n  32 -> 39 [size =\"10627072\"]\n  32 -> 41 [size =\"10627072\"]\n  32 -> 42 [size =\"10627072\"]\n  32 -> 43 [size =\"10627072\"]\n  32 -> 44 [size =\"10627072\"]\n  33 [size=\"91770880\", alpha=\"0.08\", expect_size=\"45885440\"] \n  33 -> 40 [size =\"45885440\"]\n  33 -> 42 [size =\"45885440\"]\n  33 -> 42 [size =\"45885440\"]\n  33 -> 43 [size =\"45885440\"]\n  33 -> 44 [size =\"45885440\"]\n  34 [size=\"40382464\", alpha=\"0.01\", expect_size=\"20191232\"] \n  34 -> 41 [size =\"20191232\"]\n  34 -> 44 [size =\"20191232\"]\n  35 [size=\"69265408\", alpha=\"0.15\", expect_size=\"34632704\"] \n  35 -> 40 [size =\"34632704\"]\n  35 -> 42 [size =\"34632704\"]\n  35 -> 44 [size =\"34632704\"]\n  36 [size=\"62150656\", alpha=\"0.15\", expect_size=\"31075328\"] \n  36 -> 39 [size =\"31075328\"]\n  36 -> 44 [size =\"31075328\"]\n  37 [size=\"26757120\", alpha=\"0.06\", expect_size=\"13378560\"] \n  37 -> 39 [size =\"13378560\"]\n  37 -> 41 [size =\"13378560\"]\n  37 -> 42 [size =\"13378560\"]\n  37 -> 45 [size =\"13378560\"]\n  38 [size=\"78616576\", alpha=\"0.04\", expect_size=\"39308288\"] \n  38 -> 41 [size =\"39308288\"]\n  38 -> 41 [size =\"39308288\"]\n  38 -> 42 [size =\"39308288\"]\n  38 -> 44 [size =\"39308288\"]\n  38 -> 45 [size =\"39308288\"]\n  39 [size=\"94232576\", alpha=\"0.08\", expect_size=\"47116288\"] \n  39 -> 46 [size =\"47116288\"]\n  40 [size=\"33126400\", alpha=\"0.09\", expect_size=\"16563200\"] \n  40 -> 46 [size =\"16563200\"]\n  40 -> 49 [size =\"16563200\"]\n  41 [size=\"64987136\", alpha=\"0.07\", expect_size=\"32493568\"] \n  41 -> 48 [size =\"32493568\"]\n  41 -> 49 [size =\"32493568\"]\n  41 -> 50 [size =\"32493568\"]\n  42 [size=\"89710592\", alpha=\"0.19\", expect_size=\"44855296\"] \n  42 -> 46 [size =\"44855296\"]\n  42 -> 47 [size =\"44855296\"]\n  42 -> 48 [size =\"44855296\"]\n  42 -> 49 [size =\"44855296\"]\n  43 [size=\"54091776\", alpha=\"0.09\", expect_size=\"27045888\"] \n  43 -> 46 [size =\"27045888\"]\n  43 -> 47 [size =\"27045888\"]\n  43 -> 48 [size =\"27045888\"]\n  43 -> 49 [size =\"27045888\"]\n  44 [size=\"90490880\", alpha=\"0.05\", expect_size=\"45245440\"] \n  44 -> 46 [size =\"45245440\"]\n  44 -> 47 [size =\"45245440\"]\n  44 -> 48 [size =\"45245440\"]\n  44 -> 49 [size =\"45245440\"]\n  45 [size=\"96245760\", alpha=\"0.12\", expect_size=\"48122880\"] \n  45 -> 46 [size =\"48122880\"]\n  45 -> 47 [size =\"48122880\"]\n  45 -> 49 [size =\"48122880\"]\n  46 [size=\"73265152\", alpha=\"0.06\", expect_size=\"36632576\"] \n  47 [size=\"49997824\", alpha=\"0.14\", expect_size=\"24998912\"] \n  48 [size=\"79677440\", alpha=\"0.18\", expect_size=\"39838720\"] \n  49 [size=\"97828864\", alpha=\"0.19\", expect_size=\"48914432\"] \n  50 [size=\"41990144\", alpha=\"0.02\", expect_size=\"20995072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.938.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"141574827\", alpha=\"0.02\", expect_size=\"42472448\"] \n  1 -> 49 [size =\"42472448\"]\n  1 -> 50 [size =\"42472448\"]\n  2 [size=\"81735680\", alpha=\"0.15\", expect_size=\"24520704\"] \n  2 -> 46 [size =\"24520704\"]\n  2 -> 49 [size =\"24520704\"]\n  3 [size=\"61354667\", alpha=\"0.00\", expect_size=\"18406400\"] \n  3 -> 44 [size =\"18406400\"]\n  3 -> 48 [size =\"18406400\"]\n  4 [size=\"107383467\", alpha=\"0.01\", expect_size=\"32215040\"] \n  4 -> 43 [size =\"32215040\"]\n  4 -> 44 [size =\"32215040\"]\n  4 -> 49 [size =\"32215040\"]\n  5 [size=\"34757973\", alpha=\"0.07\", expect_size=\"10427392\"] \n  5 -> 44 [size =\"10427392\"]\n  5 -> 47 [size =\"10427392\"]\n  5 -> 48 [size =\"10427392\"]\n  5 -> 49 [size =\"10427392\"]\n  6 [size=\"42376533\", alpha=\"0.18\", expect_size=\"12712960\"] \n  6 -> 45 [size =\"12712960\"]\n  6 -> 46 [size =\"12712960\"]\n  6 -> 47 [size =\"12712960\"]\n  6 -> 48 [size =\"12712960\"]\n  6 -> 49 [size =\"12712960\"]\n  7 [size=\"80100693\", alpha=\"0.03\", expect_size=\"24030208\"] \n  7 -> 48 [size =\"24030208\"]\n  7 -> 50 [size =\"24030208\"]\n  8 [size=\"144418133\", alpha=\"0.14\", expect_size=\"43325440\"] \n  8 -> 44 [size =\"43325440\"]\n  8 -> 46 [size =\"43325440\"]\n  8 -> 47 [size =\"43325440\"]\n  8 -> 48 [size =\"43325440\"]\n  8 -> 49 [size =\"43325440\"]\n  9 [size=\"36986880\", alpha=\"0.08\", expect_size=\"11096064\"] \n  9 -> 44 [size =\"11096064\"]\n  9 -> 48 [size =\"11096064\"]\n  9 -> 49 [size =\"11096064\"]\n  10 [size=\"64051200\", alpha=\"0.08\", expect_size=\"19215360\"] \n  10 -> 44 [size =\"19215360\"]\n  10 -> 48 [size =\"19215360\"]\n  11 [size=\"174465707\", alpha=\"0.10\", expect_size=\"52339712\"] \n  11 -> 44 [size =\"52339712\"]\n  11 -> 46 [size =\"52339712\"]\n  11 -> 48 [size =\"52339712\"]\n  12 [size=\"31436800\", alpha=\"0.06\", expect_size=\"9431040\"] \n  12 -> 46 [size =\"9431040\"]\n  12 -> 46 [size =\"9431040\"]\n  12 -> 48 [size =\"9431040\"]\n  13 [size=\"145592320\", alpha=\"0.14\", expect_size=\"43677696\"] \n  13 -> 44 [size =\"43677696\"]\n  13 -> 46 [size =\"43677696\"]\n  13 -> 49 [size =\"43677696\"]\n  14 [size=\"147090773\", alpha=\"0.07\", expect_size=\"44127232\"] \n  14 -> 44 [size =\"44127232\"]\n  14 -> 48 [size =\"44127232\"]\n  14 -> 49 [size =\"44127232\"]\n  15 [size=\"156876800\", alpha=\"0.20\", expect_size=\"47063040\"] \n  15 -> 46 [size =\"47063040\"]\n  15 -> 47 [size =\"47063040\"]\n  15 -> 49 [size =\"47063040\"]\n  16 [size=\"56791040\", alpha=\"0.13\", expect_size=\"17037312\"] \n  16 -> 50 [size =\"17037312\"]\n  17 [size=\"44322133\", alpha=\"0.09\", expect_size=\"13296640\"] \n  17 -> 44 [size =\"13296640\"]\n  17 -> 47 [size =\"13296640\"]\n  17 -> 49 [size =\"13296640\"]\n  18 [size=\"71604907\", alpha=\"0.16\", expect_size=\"21481472\"] \n  18 -> 44 [size =\"21481472\"]\n  18 -> 47 [size =\"21481472\"]\n  18 -> 49 [size =\"21481472\"]\n  19 [size=\"25207467\", alpha=\"0.19\", expect_size=\"7562240\"] \n  19 -> 43 [size =\"7562240\"]\n  19 -> 49 [size =\"7562240\"]\n  20 [size=\"90972160\", alpha=\"0.12\", expect_size=\"27291648\"] \n  20 -> 46 [size =\"27291648\"]\n  20 -> 47 [size =\"27291648\"]\n  20 -> 48 [size =\"27291648\"]\n  21 [size=\"153719467\", alpha=\"0.02\", expect_size=\"46115840\"] \n  21 -> 46 [size =\"46115840\"]\n  21 -> 48 [size =\"46115840\"]\n  21 -> 49 [size =\"46115840\"]\n  22 [size=\"72707413\", alpha=\"0.19\", expect_size=\"21812224\"] \n  22 -> 46 [size =\"21812224\"]\n  23 [size=\"118910293\", alpha=\"0.02\", expect_size=\"35673088\"] \n  23 -> 49 [size =\"35673088\"]\n  24 [size=\"75315200\", alpha=\"0.17\", expect_size=\"22594560\"] \n  24 -> 43 [size =\"22594560\"]\n  25 [size=\"133618347\", alpha=\"0.14\", expect_size=\"40085504\"] \n  25 -> 46 [size =\"40085504\"]\n  25 -> 48 [size =\"40085504\"]\n  25 -> 50 [size =\"40085504\"]\n  26 [size=\"132447573\", alpha=\"0.13\", expect_size=\"39734272\"] \n  26 -> 46 [size =\"39734272\"]\n  26 -> 47 [size =\"39734272\"]\n  26 -> 48 [size =\"39734272\"]\n  27 [size=\"79581867\", alpha=\"0.01\", expect_size=\"23874560\"] \n  27 -> 46 [size =\"23874560\"]\n  27 -> 49 [size =\"23874560\"]\n  28 [size=\"149760000\", alpha=\"0.05\", expect_size=\"44928000\"] \n  28 -> 46 [size =\"44928000\"]\n  28 -> 48 [size =\"44928000\"]\n  28 -> 50 [size =\"44928000\"]\n  29 [size=\"118132053\", alpha=\"0.12\", expect_size=\"35439616\"] \n  29 -> 48 [size =\"35439616\"]\n  29 -> 50 [size =\"35439616\"]\n  30 [size=\"109366613\", alpha=\"0.04\", expect_size=\"32809984\"] \n  30 -> 48 [size =\"32809984\"]\n  30 -> 49 [size =\"32809984\"]\n  31 [size=\"49810773\", alpha=\"0.16\", expect_size=\"14943232\"] \n  31 -> 44 [size =\"14943232\"]\n  31 -> 46 [size =\"14943232\"]\n  31 -> 48 [size =\"14943232\"]\n  32 [size=\"63569920\", alpha=\"0.10\", expect_size=\"19070976\"] \n  32 -> 44 [size =\"19070976\"]\n  32 -> 47 [size =\"19070976\"]\n  32 -> 50 [size =\"19070976\"]\n  33 [size=\"57617067\", alpha=\"0.01\", expect_size=\"17285120\"] \n  34 [size=\"75830613\", alpha=\"0.08\", expect_size=\"22749184\"] \n  34 -> 44 [size =\"22749184\"]\n  35 [size=\"50834773\", alpha=\"0.12\", expect_size=\"15250432\"] \n  35 -> 47 [size =\"15250432\"]\n  35 -> 49 [size =\"15250432\"]\n  36 [size=\"157194240\", alpha=\"0.02\", expect_size=\"47158272\"] \n  36 -> 46 [size =\"47158272\"]\n  36 -> 49 [size =\"47158272\"]\n  37 [size=\"105243307\", alpha=\"0.15\", expect_size=\"31572992\"] \n  37 -> 44 [size =\"31572992\"]\n  37 -> 46 [size =\"31572992\"]\n  37 -> 48 [size =\"31572992\"]\n  38 [size=\"114892800\", alpha=\"0.15\", expect_size=\"34467840\"] \n  38 -> 44 [size =\"34467840\"]\n  38 -> 46 [size =\"34467840\"]\n  38 -> 48 [size =\"34467840\"]\n  38 -> 49 [size =\"34467840\"]\n  39 [size=\"155801600\", alpha=\"0.16\", expect_size=\"46740480\"] \n  39 -> 48 [size =\"46740480\"]\n  39 -> 49 [size =\"46740480\"]\n  39 -> 50 [size =\"46740480\"]\n  40 [size=\"90193920\", alpha=\"0.06\", expect_size=\"27058176\"] \n  40 -> 44 [size =\"27058176\"]\n  40 -> 46 [size =\"27058176\"]\n  40 -> 48 [size =\"27058176\"]\n  40 -> 49 [size =\"27058176\"]\n  41 [size=\"121937920\", alpha=\"0.14\", expect_size=\"36581376\"] \n  41 -> 47 [size =\"36581376\"]\n  41 -> 48 [size =\"36581376\"]\n  41 -> 49 [size =\"36581376\"]\n  42 [size=\"93450240\", alpha=\"0.08\", expect_size=\"28035072\"] \n  42 -> 48 [size =\"28035072\"]\n  42 -> 48 [size =\"28035072\"]\n  42 -> 49 [size =\"28035072\"]\n  43 [size=\"18694827\", alpha=\"0.16\", expect_size=\"5608448\"] \n  44 [size=\"25784320\", alpha=\"0.11\", expect_size=\"7735296\"] \n  45 [size=\"87050240\", alpha=\"0.00\", expect_size=\"26115072\"] \n  46 [size=\"27323733\", alpha=\"0.04\", expect_size=\"8197120\"] \n  47 [size=\"43205973\", alpha=\"0.17\", expect_size=\"12961792\"] \n  48 [size=\"161542827\", alpha=\"0.05\", expect_size=\"48462848\"] \n  49 [size=\"121890133\", alpha=\"0.07\", expect_size=\"36567040\"] \n  50 [size=\"89265493\", alpha=\"0.01\", expect_size=\"26779648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.939.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"64022528\", alpha=\"0.02\", expect_size=\"32011264\"] \n  1 -> 4 [size =\"32011264\"]\n  1 -> 5 [size =\"32011264\"]\n  2 [size=\"65026048\", alpha=\"0.14\", expect_size=\"32513024\"] \n  2 -> 4 [size =\"32513024\"]\n  3 [size=\"64950272\", alpha=\"0.03\", expect_size=\"32475136\"] \n  3 -> 4 [size =\"32475136\"]\n  3 -> 5 [size =\"32475136\"]\n  3 -> 6 [size =\"32475136\"]\n  4 [size=\"54188032\", alpha=\"0.17\", expect_size=\"27094016\"] \n  4 -> 7 [size =\"27094016\"]\n  4 -> 8 [size =\"27094016\"]\n  4 -> 9 [size =\"27094016\"]\n  5 [size=\"104667136\", alpha=\"0.12\", expect_size=\"52333568\"] \n  5 -> 9 [size =\"52333568\"]\n  6 [size=\"101519360\", alpha=\"0.12\", expect_size=\"50759680\"] \n  7 [size=\"37840896\", alpha=\"0.15\", expect_size=\"18920448\"] \n  7 -> 10 [size =\"18920448\"]\n  7 -> 11 [size =\"18920448\"]\n  8 [size=\"41578496\", alpha=\"0.14\", expect_size=\"20789248\"] \n  8 -> 10 [size =\"20789248\"]\n  8 -> 11 [size =\"20789248\"]\n  8 -> 12 [size =\"20789248\"]\n  9 [size=\"58472448\", alpha=\"0.05\", expect_size=\"29236224\"] \n  9 -> 10 [size =\"29236224\"]\n  9 -> 11 [size =\"29236224\"]\n  10 [size=\"81379328\", alpha=\"0.17\", expect_size=\"40689664\"] \n  10 -> 13 [size =\"40689664\"]\n  10 -> 14 [size =\"40689664\"]\n  10 -> 15 [size =\"40689664\"]\n  11 [size=\"59047936\", alpha=\"0.05\", expect_size=\"29523968\"] \n  11 -> 13 [size =\"29523968\"]\n  11 -> 14 [size =\"29523968\"]\n  12 [size=\"68663296\", alpha=\"0.12\", expect_size=\"34331648\"] \n  12 -> 14 [size =\"34331648\"]\n  13 [size=\"39507968\", alpha=\"0.03\", expect_size=\"19753984\"] \n  13 -> 18 [size =\"19753984\"]\n  14 [size=\"52365312\", alpha=\"0.12\", expect_size=\"26182656\"] \n  14 -> 17 [size =\"26182656\"]\n  14 -> 18 [size =\"26182656\"]\n  15 [size=\"37324800\", alpha=\"0.20\", expect_size=\"18662400\"] \n  15 -> 16 [size =\"18662400\"]\n  15 -> 18 [size =\"18662400\"]\n  16 [size=\"91600896\", alpha=\"0.04\", expect_size=\"45800448\"] \n  16 -> 20 [size =\"45800448\"]\n  17 [size=\"55371776\", alpha=\"0.17\", expect_size=\"27685888\"] \n  17 -> 20 [size =\"27685888\"]\n  18 [size=\"29589504\", alpha=\"0.07\", expect_size=\"14794752\"] \n  18 -> 19 [size =\"14794752\"]\n  18 -> 20 [size =\"14794752\"]\n  19 [size=\"94914560\", alpha=\"0.00\", expect_size=\"47457280\"] \n  19 -> 22 [size =\"47457280\"]\n  20 [size=\"24276992\", alpha=\"0.17\", expect_size=\"12138496\"] \n  20 -> 21 [size =\"12138496\"]\n  21 [size=\"102727680\", alpha=\"0.06\", expect_size=\"51363840\"] \n  21 -> 23 [size =\"51363840\"]\n  21 -> 24 [size =\"51363840\"]\n  22 [size=\"31836160\", alpha=\"0.05\", expect_size=\"15918080\"] \n  22 -> 23 [size =\"15918080\"]\n  22 -> 24 [size =\"15918080\"]\n  23 [size=\"87797760\", alpha=\"0.17\", expect_size=\"43898880\"] \n  23 -> 25 [size =\"43898880\"]\n  23 -> 26 [size =\"43898880\"]\n  24 [size=\"103669760\", alpha=\"0.18\", expect_size=\"51834880\"] \n  24 -> 25 [size =\"51834880\"]\n  24 -> 26 [size =\"51834880\"]\n  25 [size=\"68186112\", alpha=\"0.18\", expect_size=\"34093056\"] \n  25 -> 27 [size =\"34093056\"]\n  25 -> 28 [size =\"34093056\"]\n  26 [size=\"66605056\", alpha=\"0.18\", expect_size=\"33302528\"] \n  26 -> 27 [size =\"33302528\"]\n  26 -> 28 [size =\"33302528\"]\n  27 [size=\"85817344\", alpha=\"0.04\", expect_size=\"42908672\"] \n  27 -> 29 [size =\"42908672\"]\n  27 -> 30 [size =\"42908672\"]\n  27 -> 31 [size =\"42908672\"]\n  28 [size=\"69455872\", alpha=\"0.17\", expect_size=\"34727936\"] \n  28 -> 29 [size =\"34727936\"]\n  28 -> 30 [size =\"34727936\"]\n  28 -> 31 [size =\"34727936\"]\n  29 [size=\"103444480\", alpha=\"0.19\", expect_size=\"51722240\"] \n  29 -> 32 [size =\"51722240\"]\n  29 -> 34 [size =\"51722240\"]\n  30 [size=\"103870464\", alpha=\"0.17\", expect_size=\"51935232\"] \n  30 -> 32 [size =\"51935232\"]\n  30 -> 33 [size =\"51935232\"]\n  30 -> 34 [size =\"51935232\"]\n  31 [size=\"90329088\", alpha=\"0.05\", expect_size=\"45164544\"] \n  31 -> 32 [size =\"45164544\"]\n  31 -> 34 [size =\"45164544\"]\n  32 [size=\"21991424\", alpha=\"0.05\", expect_size=\"10995712\"] \n  32 -> 35 [size =\"10995712\"]\n  32 -> 36 [size =\"10995712\"]\n  33 [size=\"47769600\", alpha=\"0.11\", expect_size=\"23884800\"] \n  33 -> 36 [size =\"23884800\"]\n  34 [size=\"33382400\", alpha=\"0.06\", expect_size=\"16691200\"] \n  34 -> 35 [size =\"16691200\"]\n  34 -> 36 [size =\"16691200\"]\n  35 [size=\"22536192\", alpha=\"0.07\", expect_size=\"11268096\"] \n  35 -> 37 [size =\"11268096\"]\n  35 -> 38 [size =\"11268096\"]\n  36 [size=\"15038464\", alpha=\"0.05\", expect_size=\"7519232\"] \n  36 -> 37 [size =\"7519232\"]\n  36 -> 38 [size =\"7519232\"]\n  37 [size=\"101926912\", alpha=\"0.13\", expect_size=\"50963456\"] \n  37 -> 39 [size =\"50963456\"]\n  37 -> 40 [size =\"50963456\"]\n  37 -> 41 [size =\"50963456\"]\n  38 [size=\"27443200\", alpha=\"0.05\", expect_size=\"13721600\"] \n  38 -> 39 [size =\"13721600\"]\n  38 -> 40 [size =\"13721600\"]\n  38 -> 41 [size =\"13721600\"]\n  39 [size=\"11419648\", alpha=\"0.14\", expect_size=\"5709824\"] \n  39 -> 42 [size =\"5709824\"]\n  39 -> 43 [size =\"5709824\"]\n  40 [size=\"101851136\", alpha=\"0.07\", expect_size=\"50925568\"] \n  40 -> 42 [size =\"50925568\"]\n  41 [size=\"86511616\", alpha=\"0.19\", expect_size=\"43255808\"] \n  41 -> 42 [size =\"43255808\"]\n  41 -> 43 [size =\"43255808\"]\n  42 [size=\"13967360\", alpha=\"0.15\", expect_size=\"6983680\"] \n  42 -> 44 [size =\"6983680\"]\n  42 -> 45 [size =\"6983680\"]\n  43 [size=\"36765696\", alpha=\"0.08\", expect_size=\"18382848\"] \n  43 -> 44 [size =\"18382848\"]\n  43 -> 45 [size =\"18382848\"]\n  44 [size=\"89563136\", alpha=\"0.01\", expect_size=\"44781568\"] \n  44 -> 46 [size =\"44781568\"]\n  44 -> 47 [size =\"44781568\"]\n  44 -> 48 [size =\"44781568\"]\n  45 [size=\"25493504\", alpha=\"0.06\", expect_size=\"12746752\"] \n  45 -> 46 [size =\"12746752\"]\n  45 -> 47 [size =\"12746752\"]\n  45 -> 48 [size =\"12746752\"]\n  46 [size=\"60143616\", alpha=\"0.03\", expect_size=\"30071808\"] \n  46 -> 49 [size =\"30071808\"]\n  46 -> 50 [size =\"30071808\"]\n  47 [size=\"85882880\", alpha=\"0.16\", expect_size=\"42941440\"] \n  47 -> 49 [size =\"42941440\"]\n  47 -> 50 [size =\"42941440\"]\n  48 [size=\"53229568\", alpha=\"0.01\", expect_size=\"26614784\"] \n  48 -> 49 [size =\"26614784\"]\n  48 -> 50 [size =\"26614784\"]\n  49 [size=\"75657216\", alpha=\"0.06\", expect_size=\"37828608\"] \n  50 [size=\"48852992\", alpha=\"0.11\", expect_size=\"24426496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103324160\", alpha=\"0.17\", expect_size=\"41329664\"] \n  1 -> 2 [size =\"41329664\"]\n  2 [size=\"98408960\", alpha=\"0.09\", expect_size=\"39363584\"] \n  2 -> 3 [size =\"39363584\"]\n  3 [size=\"91409920\", alpha=\"0.14\", expect_size=\"36563968\"] \n  3 -> 4 [size =\"36563968\"]\n  4 [size=\"59694080\", alpha=\"0.02\", expect_size=\"23877632\"] \n  4 -> 5 [size =\"23877632\"]\n  5 [size=\"44712960\", alpha=\"0.16\", expect_size=\"17885184\"] \n  5 -> 6 [size =\"17885184\"]\n  6 [size=\"29511680\", alpha=\"0.11\", expect_size=\"11804672\"] \n  6 -> 7 [size =\"11804672\"]\n  7 [size=\"116213760\", alpha=\"0.02\", expect_size=\"46485504\"] \n  7 -> 8 [size =\"46485504\"]\n  8 [size=\"104847360\", alpha=\"0.09\", expect_size=\"41938944\"] \n  8 -> 9 [size =\"41938944\"]\n  9 [size=\"52943360\", alpha=\"0.14\", expect_size=\"21177344\"] \n  9 -> 10 [size =\"21177344\"]\n  10 [size=\"94115840\", alpha=\"0.01\", expect_size=\"37646336\"] \n  10 -> 11 [size =\"37646336\"]\n  11 [size=\"116221440\", alpha=\"0.02\", expect_size=\"46488576\"] \n  11 -> 12 [size =\"46488576\"]\n  12 [size=\"100101120\", alpha=\"0.10\", expect_size=\"40040448\"] \n  12 -> 13 [size =\"40040448\"]\n  13 [size=\"37524480\", alpha=\"0.02\", expect_size=\"15009792\"] \n  13 -> 14 [size =\"15009792\"]\n  14 [size=\"117534720\", alpha=\"0.02\", expect_size=\"47013888\"] \n  14 -> 15 [size =\"47013888\"]\n  15 [size=\"128373760\", alpha=\"0.06\", expect_size=\"51349504\"] \n  15 -> 16 [size =\"51349504\"]\n  16 [size=\"102213120\", alpha=\"0.06\", expect_size=\"40885248\"] \n  16 -> 17 [size =\"40885248\"]\n  17 [size=\"51328000\", alpha=\"0.11\", expect_size=\"20531200\"] \n  17 -> 18 [size =\"20531200\"]\n  18 [size=\"60372480\", alpha=\"0.17\", expect_size=\"24148992\"] \n  18 -> 19 [size =\"24148992\"]\n  19 [size=\"111475200\", alpha=\"0.19\", expect_size=\"44590080\"] \n  19 -> 20 [size =\"44590080\"]\n  20 [size=\"75317760\", alpha=\"0.11\", expect_size=\"30127104\"] \n  20 -> 21 [size =\"30127104\"]\n  21 [size=\"78679040\", alpha=\"0.18\", expect_size=\"31471616\"] \n  21 -> 22 [size =\"31471616\"]\n  22 [size=\"88074240\", alpha=\"0.20\", expect_size=\"35229696\"] \n  22 -> 23 [size =\"35229696\"]\n  23 [size=\"26291200\", alpha=\"0.15\", expect_size=\"10516480\"] \n  23 -> 24 [size =\"10516480\"]\n  24 [size=\"35648000\", alpha=\"0.18\", expect_size=\"14259200\"] \n  24 -> 25 [size =\"14259200\"]\n  25 [size=\"48102400\", alpha=\"0.06\", expect_size=\"19240960\"] \n  25 -> 26 [size =\"19240960\"]\n  26 [size=\"83402240\", alpha=\"0.17\", expect_size=\"33360896\"] \n  26 -> 27 [size =\"33360896\"]\n  27 [size=\"119928320\", alpha=\"0.06\", expect_size=\"47971328\"] \n  27 -> 28 [size =\"47971328\"]\n  28 [size=\"64222720\", alpha=\"0.10\", expect_size=\"25689088\"] \n  28 -> 29 [size =\"25689088\"]\n  29 [size=\"47859200\", alpha=\"0.01\", expect_size=\"19143680\"] \n  29 -> 30 [size =\"19143680\"]\n  30 [size=\"41072640\", alpha=\"0.05\", expect_size=\"16429056\"] \n  30 -> 31 [size =\"16429056\"]\n  31 [size=\"104921600\", alpha=\"0.07\", expect_size=\"41968640\"] \n  31 -> 32 [size =\"41968640\"]\n  32 [size=\"93696000\", alpha=\"0.04\", expect_size=\"37478400\"] \n  32 -> 33 [size =\"37478400\"]\n  33 [size=\"92700160\", alpha=\"0.05\", expect_size=\"37080064\"] \n  33 -> 34 [size =\"37080064\"]\n  34 [size=\"62272000\", alpha=\"0.04\", expect_size=\"24908800\"] \n  34 -> 35 [size =\"24908800\"]\n  35 [size=\"49000960\", alpha=\"0.02\", expect_size=\"19600384\"] \n  35 -> 36 [size =\"19600384\"]\n  36 [size=\"84492800\", alpha=\"0.15\", expect_size=\"33797120\"] \n  36 -> 37 [size =\"33797120\"]\n  37 [size=\"67189760\", alpha=\"0.15\", expect_size=\"26875904\"] \n  37 -> 38 [size =\"26875904\"]\n  38 [size=\"100195840\", alpha=\"0.03\", expect_size=\"40078336\"] \n  38 -> 39 [size =\"40078336\"]\n  39 [size=\"39329280\", alpha=\"0.07\", expect_size=\"15731712\"] \n  39 -> 40 [size =\"15731712\"]\n  40 [size=\"42388480\", alpha=\"0.02\", expect_size=\"16955392\"] \n  40 -> 41 [size =\"16955392\"]\n  41 [size=\"72417280\", alpha=\"0.08\", expect_size=\"28966912\"] \n  41 -> 42 [size =\"28966912\"]\n  42 [size=\"114570240\", alpha=\"0.07\", expect_size=\"45828096\"] \n  42 -> 43 [size =\"45828096\"]\n  43 [size=\"19906560\", alpha=\"0.08\", expect_size=\"7962624\"] \n  43 -> 44 [size =\"7962624\"]\n  44 [size=\"48778240\", alpha=\"0.13\", expect_size=\"19511296\"] \n  44 -> 45 [size =\"19511296\"]\n  45 [size=\"69680640\", alpha=\"0.04\", expect_size=\"27872256\"] \n  45 -> 46 [size =\"27872256\"]\n  46 [size=\"79918080\", alpha=\"0.07\", expect_size=\"31967232\"] \n  46 -> 47 [size =\"31967232\"]\n  47 [size=\"50629120\", alpha=\"0.08\", expect_size=\"20251648\"] \n  47 -> 48 [size =\"20251648\"]\n  48 [size=\"20039680\", alpha=\"0.17\", expect_size=\"8015872\"] \n  48 -> 49 [size =\"8015872\"]\n  49 [size=\"35417600\", alpha=\"0.12\", expect_size=\"14167040\"] \n  49 -> 50 [size =\"14167040\"]\n  50 [size=\"77160960\", alpha=\"0.13\", expect_size=\"30864384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.940.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13294080\", alpha=\"0.01\", expect_size=\"5317632\"] \n  1 -> 8 [size =\"5317632\"]\n  1 -> 11 [size =\"5317632\"]\n  1 -> 13 [size =\"5317632\"]\n  2 [size=\"98032640\", alpha=\"0.05\", expect_size=\"39213056\"] \n  2 -> 11 [size =\"39213056\"]\n  2 -> 12 [size =\"39213056\"]\n  3 [size=\"81185280\", alpha=\"0.02\", expect_size=\"32474112\"] \n  3 -> 9 [size =\"32474112\"]\n  3 -> 12 [size =\"32474112\"]\n  4 [size=\"97600000\", alpha=\"0.01\", expect_size=\"39040000\"] \n  5 [size=\"35348480\", alpha=\"0.20\", expect_size=\"14139392\"] \n  5 -> 11 [size =\"14139392\"]\n  5 -> 13 [size =\"14139392\"]\n  5 -> 14 [size =\"14139392\"]\n  6 [size=\"106595840\", alpha=\"0.02\", expect_size=\"42638336\"] \n  6 -> 9 [size =\"42638336\"]\n  6 -> 10 [size =\"42638336\"]\n  6 -> 13 [size =\"42638336\"]\n  7 [size=\"67852800\", alpha=\"0.16\", expect_size=\"27141120\"] \n  7 -> 13 [size =\"27141120\"]\n  8 [size=\"19287040\", alpha=\"0.14\", expect_size=\"7714816\"] \n  9 [size=\"120053760\", alpha=\"0.01\", expect_size=\"48021504\"] \n  9 -> 18 [size =\"48021504\"]\n  9 -> 19 [size =\"48021504\"]\n  10 [size=\"40614400\", alpha=\"0.06\", expect_size=\"16245760\"] \n  10 -> 15 [size =\"16245760\"]\n  10 -> 17 [size =\"16245760\"]\n  10 -> 18 [size =\"16245760\"]\n  11 [size=\"88471040\", alpha=\"0.02\", expect_size=\"35388416\"] \n  11 -> 18 [size =\"35388416\"]\n  12 [size=\"94033920\", alpha=\"0.07\", expect_size=\"37613568\"] \n  12 -> 15 [size =\"37613568\"]\n  12 -> 16 [size =\"37613568\"]\n  12 -> 17 [size =\"37613568\"]\n  12 -> 18 [size =\"37613568\"]\n  13 [size=\"125770240\", alpha=\"0.16\", expect_size=\"50308096\"] \n  13 -> 15 [size =\"50308096\"]\n  13 -> 17 [size =\"50308096\"]\n  13 -> 18 [size =\"50308096\"]\n  14 [size=\"18401280\", alpha=\"0.15\", expect_size=\"7360512\"] \n  14 -> 15 [size =\"7360512\"]\n  14 -> 16 [size =\"7360512\"]\n  14 -> 20 [size =\"7360512\"]\n  15 [size=\"26403840\", alpha=\"0.05\", expect_size=\"10561536\"] \n  15 -> 22 [size =\"10561536\"]\n  15 -> 23 [size =\"10561536\"]\n  15 -> 24 [size =\"10561536\"]\n  16 [size=\"24581120\", alpha=\"0.10\", expect_size=\"9832448\"] \n  16 -> 24 [size =\"9832448\"]\n  17 [size=\"38996480\", alpha=\"0.09\", expect_size=\"15598592\"] \n  18 [size=\"14023680\", alpha=\"0.02\", expect_size=\"5609472\"] \n  18 -> 21 [size =\"5609472\"]\n  18 -> 22 [size =\"5609472\"]\n  19 [size=\"96921600\", alpha=\"0.15\", expect_size=\"38768640\"] \n  19 -> 21 [size =\"38768640\"]\n  20 [size=\"105100800\", alpha=\"0.04\", expect_size=\"42040320\"] \n  20 -> 22 [size =\"42040320\"]\n  20 -> 25 [size =\"42040320\"]\n  20 -> 26 [size =\"42040320\"]\n  21 [size=\"25177600\", alpha=\"0.12\", expect_size=\"10071040\"] \n  21 -> 27 [size =\"10071040\"]\n  21 -> 29 [size =\"10071040\"]\n  21 -> 31 [size =\"10071040\"]\n  22 [size=\"35865600\", alpha=\"0.16\", expect_size=\"14346240\"] \n  22 -> 28 [size =\"14346240\"]\n  22 -> 29 [size =\"14346240\"]\n  22 -> 32 [size =\"14346240\"]\n  23 [size=\"76474880\", alpha=\"0.10\", expect_size=\"30589952\"] \n  23 -> 27 [size =\"30589952\"]\n  23 -> 28 [size =\"30589952\"]\n  23 -> 29 [size =\"30589952\"]\n  23 -> 30 [size =\"30589952\"]\n  23 -> 31 [size =\"30589952\"]\n  23 -> 32 [size =\"30589952\"]\n  24 [size=\"53524480\", alpha=\"0.19\", expect_size=\"21409792\"] \n  24 -> 30 [size =\"21409792\"]\n  24 -> 32 [size =\"21409792\"]\n  25 [size=\"24128000\", alpha=\"0.12\", expect_size=\"9651200\"] \n  25 -> 27 [size =\"9651200\"]\n  25 -> 28 [size =\"9651200\"]\n  25 -> 31 [size =\"9651200\"]\n  26 [size=\"53816320\", alpha=\"0.01\", expect_size=\"21526528\"] \n  26 -> 27 [size =\"21526528\"]\n  26 -> 28 [size =\"21526528\"]\n  26 -> 29 [size =\"21526528\"]\n  26 -> 30 [size =\"21526528\"]\n  26 -> 31 [size =\"21526528\"]\n  27 [size=\"115740160\", alpha=\"0.19\", expect_size=\"46296064\"] \n  27 -> 33 [size =\"46296064\"]\n  27 -> 35 [size =\"46296064\"]\n  27 -> 39 [size =\"46296064\"]\n  27 -> 39 [size =\"46296064\"]\n  28 [size=\"51440640\", alpha=\"0.18\", expect_size=\"20576256\"] \n  28 -> 35 [size =\"20576256\"]\n  28 -> 36 [size =\"20576256\"]\n  29 [size=\"63160320\", alpha=\"0.15\", expect_size=\"25264128\"] \n  29 -> 33 [size =\"25264128\"]\n  29 -> 34 [size =\"25264128\"]\n  29 -> 35 [size =\"25264128\"]\n  29 -> 36 [size =\"25264128\"]\n  29 -> 38 [size =\"25264128\"]\n  29 -> 39 [size =\"25264128\"]\n  30 [size=\"32947200\", alpha=\"0.17\", expect_size=\"13178880\"] \n  30 -> 34 [size =\"13178880\"]\n  30 -> 36 [size =\"13178880\"]\n  30 -> 37 [size =\"13178880\"]\n  31 [size=\"54274560\", alpha=\"0.11\", expect_size=\"21709824\"] \n  31 -> 35 [size =\"21709824\"]\n  31 -> 39 [size =\"21709824\"]\n  32 [size=\"127334400\", alpha=\"0.19\", expect_size=\"50933760\"] \n  32 -> 34 [size =\"50933760\"]\n  32 -> 36 [size =\"50933760\"]\n  32 -> 37 [size =\"50933760\"]\n  32 -> 39 [size =\"50933760\"]\n  33 [size=\"101122560\", alpha=\"0.07\", expect_size=\"40449024\"] \n  33 -> 41 [size =\"40449024\"]\n  33 -> 42 [size =\"40449024\"]\n  33 -> 43 [size =\"40449024\"]\n  33 -> 45 [size =\"40449024\"]\n  34 [size=\"43719680\", alpha=\"0.15\", expect_size=\"17487872\"] \n  34 -> 42 [size =\"17487872\"]\n  34 -> 44 [size =\"17487872\"]\n  34 -> 45 [size =\"17487872\"]\n  35 [size=\"39616000\", alpha=\"0.06\", expect_size=\"15846400\"] \n  35 -> 43 [size =\"15846400\"]\n  35 -> 45 [size =\"15846400\"]\n  35 -> 45 [size =\"15846400\"]\n  36 [size=\"111060480\", alpha=\"0.18\", expect_size=\"44424192\"] \n  36 -> 43 [size =\"44424192\"]\n  36 -> 44 [size =\"44424192\"]\n  36 -> 45 [size =\"44424192\"]\n  37 [size=\"115609600\", alpha=\"0.15\", expect_size=\"46243840\"] \n  37 -> 43 [size =\"46243840\"]\n  38 [size=\"108014080\", alpha=\"0.12\", expect_size=\"43205632\"] \n  38 -> 40 [size =\"43205632\"]\n  38 -> 42 [size =\"43205632\"]\n  38 -> 43 [size =\"43205632\"]\n  39 [size=\"94448640\", alpha=\"0.03\", expect_size=\"37779456\"] \n  39 -> 42 [size =\"37779456\"]\n  39 -> 44 [size =\"37779456\"]\n  40 [size=\"63902720\", alpha=\"0.10\", expect_size=\"25561088\"] \n  40 -> 50 [size =\"25561088\"]\n  41 [size=\"43880960\", alpha=\"0.19\", expect_size=\"17552384\"] \n  41 -> 49 [size =\"17552384\"]\n  42 [size=\"109747200\", alpha=\"0.12\", expect_size=\"43898880\"] \n  42 -> 46 [size =\"43898880\"]\n  42 -> 47 [size =\"43898880\"]\n  42 -> 49 [size =\"43898880\"]\n  42 -> 50 [size =\"43898880\"]\n  43 [size=\"106506240\", alpha=\"0.15\", expect_size=\"42602496\"] \n  43 -> 46 [size =\"42602496\"]\n  43 -> 47 [size =\"42602496\"]\n  44 [size=\"28851200\", alpha=\"0.06\", expect_size=\"11540480\"] \n  45 [size=\"118008320\", alpha=\"0.18\", expect_size=\"47203328\"] \n  45 -> 47 [size =\"47203328\"]\n  45 -> 48 [size =\"47203328\"]\n  46 [size=\"33379840\", alpha=\"0.17\", expect_size=\"13351936\"] \n  47 [size=\"22371840\", alpha=\"0.13\", expect_size=\"8948736\"] \n  48 [size=\"110876160\", alpha=\"0.16\", expect_size=\"44350464\"] \n  49 [size=\"63879680\", alpha=\"0.08\", expect_size=\"25551872\"] \n  50 [size=\"83164160\", alpha=\"0.03\", expect_size=\"33265664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.941.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"54726656\", alpha=\"0.11\", expect_size=\"27363328\"] \n  1 -> 2 [size =\"27363328\"]\n  2 [size=\"93859840\", alpha=\"0.16\", expect_size=\"46929920\"] \n  2 -> 3 [size =\"46929920\"]\n  3 [size=\"104210432\", alpha=\"0.03\", expect_size=\"52105216\"] \n  3 -> 4 [size =\"52105216\"]\n  4 [size=\"10534912\", alpha=\"0.11\", expect_size=\"5267456\"] \n  4 -> 5 [size =\"5267456\"]\n  5 [size=\"24180736\", alpha=\"0.02\", expect_size=\"12090368\"] \n  5 -> 6 [size =\"12090368\"]\n  6 [size=\"39147520\", alpha=\"0.07\", expect_size=\"19573760\"] \n  6 -> 7 [size =\"19573760\"]\n  7 [size=\"99766272\", alpha=\"0.15\", expect_size=\"49883136\"] \n  7 -> 8 [size =\"49883136\"]\n  8 [size=\"61077504\", alpha=\"0.04\", expect_size=\"30538752\"] \n  8 -> 9 [size =\"30538752\"]\n  9 [size=\"28854272\", alpha=\"0.15\", expect_size=\"14427136\"] \n  9 -> 10 [size =\"14427136\"]\n  10 [size=\"81111040\", alpha=\"0.11\", expect_size=\"40555520\"] \n  10 -> 11 [size =\"40555520\"]\n  11 [size=\"71987200\", alpha=\"0.14\", expect_size=\"35993600\"] \n  11 -> 12 [size =\"35993600\"]\n  12 [size=\"28020736\", alpha=\"0.08\", expect_size=\"14010368\"] \n  12 -> 13 [size =\"14010368\"]\n  13 [size=\"102813696\", alpha=\"0.01\", expect_size=\"51406848\"] \n  13 -> 14 [size =\"51406848\"]\n  14 [size=\"22114304\", alpha=\"0.08\", expect_size=\"11057152\"] \n  14 -> 15 [size =\"11057152\"]\n  15 [size=\"74889216\", alpha=\"0.13\", expect_size=\"37444608\"] \n  15 -> 16 [size =\"37444608\"]\n  16 [size=\"83075072\", alpha=\"0.10\", expect_size=\"41537536\"] \n  16 -> 17 [size =\"41537536\"]\n  17 [size=\"22472704\", alpha=\"0.10\", expect_size=\"11236352\"] \n  17 -> 18 [size =\"11236352\"]\n  18 [size=\"93523968\", alpha=\"0.14\", expect_size=\"46761984\"] \n  18 -> 19 [size =\"46761984\"]\n  19 [size=\"18542592\", alpha=\"0.10\", expect_size=\"9271296\"] \n  19 -> 20 [size =\"9271296\"]\n  20 [size=\"87906304\", alpha=\"0.06\", expect_size=\"43953152\"] \n  20 -> 21 [size =\"43953152\"]\n  21 [size=\"43481088\", alpha=\"0.13\", expect_size=\"21740544\"] \n  21 -> 22 [size =\"21740544\"]\n  22 [size=\"13352960\", alpha=\"0.16\", expect_size=\"6676480\"] \n  22 -> 23 [size =\"6676480\"]\n  23 [size=\"50694144\", alpha=\"0.20\", expect_size=\"25347072\"] \n  23 -> 24 [size =\"25347072\"]\n  24 [size=\"53377024\", alpha=\"0.04\", expect_size=\"26688512\"] \n  24 -> 25 [size =\"26688512\"]\n  25 [size=\"89438208\", alpha=\"0.10\", expect_size=\"44719104\"] \n  25 -> 26 [size =\"44719104\"]\n  26 [size=\"55920640\", alpha=\"0.03\", expect_size=\"27960320\"] \n  26 -> 27 [size =\"27960320\"]\n  27 [size=\"10661888\", alpha=\"0.14\", expect_size=\"5330944\"] \n  27 -> 28 [size =\"5330944\"]\n  28 [size=\"59301888\", alpha=\"0.16\", expect_size=\"29650944\"] \n  28 -> 29 [size =\"29650944\"]\n  29 [size=\"31803392\", alpha=\"0.03\", expect_size=\"15901696\"] \n  29 -> 30 [size =\"15901696\"]\n  30 [size=\"77819904\", alpha=\"0.04\", expect_size=\"38909952\"] \n  30 -> 31 [size =\"38909952\"]\n  31 [size=\"13938688\", alpha=\"0.18\", expect_size=\"6969344\"] \n  31 -> 32 [size =\"6969344\"]\n  32 [size=\"73140224\", alpha=\"0.16\", expect_size=\"36570112\"] \n  32 -> 33 [size =\"36570112\"]\n  33 [size=\"55687168\", alpha=\"0.13\", expect_size=\"27843584\"] \n  33 -> 34 [size =\"27843584\"]\n  34 [size=\"55306240\", alpha=\"0.13\", expect_size=\"27653120\"] \n  34 -> 35 [size =\"27653120\"]\n  35 [size=\"72044544\", alpha=\"0.07\", expect_size=\"36022272\"] \n  35 -> 36 [size =\"36022272\"]\n  36 [size=\"25229312\", alpha=\"0.15\", expect_size=\"12614656\"] \n  36 -> 37 [size =\"12614656\"]\n  37 [size=\"37892096\", alpha=\"0.07\", expect_size=\"18946048\"] \n  37 -> 38 [size =\"18946048\"]\n  38 [size=\"10575872\", alpha=\"0.16\", expect_size=\"5287936\"] \n  38 -> 39 [size =\"5287936\"]\n  39 [size=\"88244224\", alpha=\"0.07\", expect_size=\"44122112\"] \n  39 -> 40 [size =\"44122112\"]\n  40 [size=\"100524032\", alpha=\"0.14\", expect_size=\"50262016\"] \n  40 -> 41 [size =\"50262016\"]\n  41 [size=\"23668736\", alpha=\"0.08\", expect_size=\"11834368\"] \n  41 -> 42 [size =\"11834368\"]\n  42 [size=\"13549568\", alpha=\"0.03\", expect_size=\"6774784\"] \n  42 -> 43 [size =\"6774784\"]\n  43 [size=\"87707648\", alpha=\"0.06\", expect_size=\"43853824\"] \n  43 -> 44 [size =\"43853824\"]\n  44 [size=\"55351296\", alpha=\"0.19\", expect_size=\"27675648\"] \n  44 -> 45 [size =\"27675648\"]\n  45 [size=\"22482944\", alpha=\"0.08\", expect_size=\"11241472\"] \n  45 -> 46 [size =\"11241472\"]\n  46 [size=\"53508096\", alpha=\"0.06\", expect_size=\"26754048\"] \n  46 -> 47 [size =\"26754048\"]\n  47 [size=\"32270336\", alpha=\"0.05\", expect_size=\"16135168\"] \n  47 -> 48 [size =\"16135168\"]\n  48 [size=\"65134592\", alpha=\"0.14\", expect_size=\"32567296\"] \n  48 -> 49 [size =\"32567296\"]\n  49 [size=\"46391296\", alpha=\"0.08\", expect_size=\"23195648\"] \n  49 -> 50 [size =\"23195648\"]\n  50 [size=\"78473216\", alpha=\"0.16\", expect_size=\"39236608\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.942.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21473280\", alpha=\"0.08\", expect_size=\"10736640\"] \n  1 -> 6 [size =\"10736640\"]\n  2 [size=\"45445120\", alpha=\"0.11\", expect_size=\"22722560\"] \n  2 -> 8 [size =\"22722560\"]\n  2 -> 11 [size =\"22722560\"]\n  3 [size=\"40091648\", alpha=\"0.16\", expect_size=\"20045824\"] \n  3 -> 8 [size =\"20045824\"]\n  3 -> 11 [size =\"20045824\"]\n  4 [size=\"79882240\", alpha=\"0.10\", expect_size=\"39941120\"] \n  4 -> 7 [size =\"39941120\"]\n  4 -> 8 [size =\"39941120\"]\n  4 -> 9 [size =\"39941120\"]\n  4 -> 10 [size =\"39941120\"]\n  4 -> 12 [size =\"39941120\"]\n  5 [size=\"33003520\", alpha=\"0.16\", expect_size=\"16501760\"] \n  5 -> 7 [size =\"16501760\"]\n  5 -> 10 [size =\"16501760\"]\n  5 -> 11 [size =\"16501760\"]\n  6 [size=\"78145536\", alpha=\"0.07\", expect_size=\"39072768\"] \n  6 -> 13 [size =\"39072768\"]\n  6 -> 14 [size =\"39072768\"]\n  7 [size=\"33392640\", alpha=\"0.17\", expect_size=\"16696320\"] \n  7 -> 15 [size =\"16696320\"]\n  8 [size=\"24236032\", alpha=\"0.07\", expect_size=\"12118016\"] \n  8 -> 14 [size =\"12118016\"]\n  8 -> 15 [size =\"12118016\"]\n  9 [size=\"44849152\", alpha=\"0.09\", expect_size=\"22424576\"] \n  9 -> 16 [size =\"22424576\"]\n  9 -> 17 [size =\"22424576\"]\n  10 [size=\"62314496\", alpha=\"0.01\", expect_size=\"31157248\"] \n  11 [size=\"37289984\", alpha=\"0.03\", expect_size=\"18644992\"] \n  11 -> 14 [size =\"18644992\"]\n  12 [size=\"73261056\", alpha=\"0.02\", expect_size=\"36630528\"] \n  12 -> 14 [size =\"36630528\"]\n  12 -> 15 [size =\"36630528\"]\n  13 [size=\"31729664\", alpha=\"0.19\", expect_size=\"15864832\"] \n  14 [size=\"12195840\", alpha=\"0.14\", expect_size=\"6097920\"] \n  14 -> 21 [size =\"6097920\"]\n  15 [size=\"59527168\", alpha=\"0.00\", expect_size=\"29763584\"] \n  15 -> 18 [size =\"29763584\"]\n  15 -> 19 [size =\"29763584\"]\n  15 -> 20 [size =\"29763584\"]\n  16 [size=\"41136128\", alpha=\"0.11\", expect_size=\"20568064\"] \n  16 -> 18 [size =\"20568064\"]\n  16 -> 20 [size =\"20568064\"]\n  16 -> 21 [size =\"20568064\"]\n  17 [size=\"72906752\", alpha=\"0.15\", expect_size=\"36453376\"] \n  18 [size=\"58519552\", alpha=\"0.06\", expect_size=\"29259776\"] \n  18 -> 24 [size =\"29259776\"]\n  19 [size=\"92633088\", alpha=\"0.00\", expect_size=\"46316544\"] \n  20 [size=\"39112704\", alpha=\"0.08\", expect_size=\"19556352\"] \n  20 -> 23 [size =\"19556352\"]\n  20 -> 24 [size =\"19556352\"]\n  21 [size=\"41838592\", alpha=\"0.18\", expect_size=\"20919296\"] \n  21 -> 22 [size =\"20919296\"]\n  21 -> 23 [size =\"20919296\"]\n  21 -> 24 [size =\"20919296\"]\n  22 [size=\"53716992\", alpha=\"0.16\", expect_size=\"26858496\"] \n  23 [size=\"64671744\", alpha=\"0.00\", expect_size=\"32335872\"] \n  23 -> 25 [size =\"32335872\"]\n  23 -> 26 [size =\"32335872\"]\n  23 -> 27 [size =\"32335872\"]\n  24 [size=\"59844608\", alpha=\"0.19\", expect_size=\"29922304\"] \n  24 -> 26 [size =\"29922304\"]\n  24 -> 28 [size =\"29922304\"]\n  25 [size=\"29982720\", alpha=\"0.03\", expect_size=\"14991360\"] \n  25 -> 30 [size =\"14991360\"]\n  25 -> 32 [size =\"14991360\"]\n  25 -> 34 [size =\"14991360\"]\n  26 [size=\"30199808\", alpha=\"0.01\", expect_size=\"15099904\"] \n  26 -> 30 [size =\"15099904\"]\n  26 -> 36 [size =\"15099904\"]\n  27 [size=\"83875840\", alpha=\"0.03\", expect_size=\"41937920\"] \n  27 -> 31 [size =\"41937920\"]\n  27 -> 34 [size =\"41937920\"]\n  27 -> 35 [size =\"41937920\"]\n  27 -> 36 [size =\"41937920\"]\n  28 [size=\"61134848\", alpha=\"0.09\", expect_size=\"30567424\"] \n  28 -> 29 [size =\"30567424\"]\n  28 -> 33 [size =\"30567424\"]\n  29 [size=\"89712640\", alpha=\"0.02\", expect_size=\"44856320\"] \n  29 -> 38 [size =\"44856320\"]\n  29 -> 40 [size =\"44856320\"]\n  29 -> 42 [size =\"44856320\"]\n  29 -> 43 [size =\"44856320\"]\n  30 [size=\"89747456\", alpha=\"0.06\", expect_size=\"44873728\"] \n  30 -> 37 [size =\"44873728\"]\n  30 -> 38 [size =\"44873728\"]\n  30 -> 39 [size =\"44873728\"]\n  30 -> 40 [size =\"44873728\"]\n  30 -> 42 [size =\"44873728\"]\n  30 -> 43 [size =\"44873728\"]\n  31 [size=\"33417216\", alpha=\"0.15\", expect_size=\"16708608\"] \n  31 -> 38 [size =\"16708608\"]\n  31 -> 40 [size =\"16708608\"]\n  31 -> 41 [size =\"16708608\"]\n  31 -> 42 [size =\"16708608\"]\n  32 [size=\"26087424\", alpha=\"0.18\", expect_size=\"13043712\"] \n  32 -> 37 [size =\"13043712\"]\n  32 -> 38 [size =\"13043712\"]\n  32 -> 40 [size =\"13043712\"]\n  33 [size=\"102713344\", alpha=\"0.06\", expect_size=\"51356672\"] \n  33 -> 39 [size =\"51356672\"]\n  33 -> 40 [size =\"51356672\"]\n  34 [size=\"104165376\", alpha=\"0.13\", expect_size=\"52082688\"] \n  34 -> 39 [size =\"52082688\"]\n  34 -> 43 [size =\"52082688\"]\n  35 [size=\"99835904\", alpha=\"0.12\", expect_size=\"49917952\"] \n  35 -> 43 [size =\"49917952\"]\n  36 [size=\"17872896\", alpha=\"0.16\", expect_size=\"8936448\"] \n  36 -> 41 [size =\"8936448\"]\n  36 -> 42 [size =\"8936448\"]\n  37 [size=\"20312064\", alpha=\"0.14\", expect_size=\"10156032\"] \n  37 -> 46 [size =\"10156032\"]\n  37 -> 48 [size =\"10156032\"]\n  37 -> 49 [size =\"10156032\"]\n  37 -> 50 [size =\"10156032\"]\n  38 [size=\"35684352\", alpha=\"0.02\", expect_size=\"17842176\"] \n  38 -> 46 [size =\"17842176\"]\n  38 -> 47 [size =\"17842176\"]\n  38 -> 49 [size =\"17842176\"]\n  38 -> 50 [size =\"17842176\"]\n  39 [size=\"77744128\", alpha=\"0.08\", expect_size=\"38872064\"] \n  39 -> 44 [size =\"38872064\"]\n  39 -> 46 [size =\"38872064\"]\n  40 [size=\"86480896\", alpha=\"0.19\", expect_size=\"43240448\"] \n  40 -> 47 [size =\"43240448\"]\n  40 -> 48 [size =\"43240448\"]\n  41 [size=\"19353600\", alpha=\"0.17\", expect_size=\"9676800\"] \n  41 -> 46 [size =\"9676800\"]\n  42 [size=\"91912192\", alpha=\"0.05\", expect_size=\"45956096\"] \n  42 -> 50 [size =\"45956096\"]\n  43 [size=\"83814400\", alpha=\"0.04\", expect_size=\"41907200\"] \n  43 -> 45 [size =\"41907200\"]\n  43 -> 48 [size =\"41907200\"]\n  43 -> 50 [size =\"41907200\"]\n  44 [size=\"16306176\", alpha=\"0.13\", expect_size=\"8153088\"] \n  45 [size=\"79841280\", alpha=\"0.06\", expect_size=\"39920640\"] \n  46 [size=\"40349696\", alpha=\"0.04\", expect_size=\"20174848\"] \n  47 [size=\"22853632\", alpha=\"0.17\", expect_size=\"11426816\"] \n  48 [size=\"89774080\", alpha=\"0.01\", expect_size=\"44887040\"] \n  49 [size=\"100403200\", alpha=\"0.02\", expect_size=\"50201600\"] \n  50 [size=\"42520576\", alpha=\"0.19\", expect_size=\"21260288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.943.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40331947\", alpha=\"0.05\", expect_size=\"12099584\"] \n  1 -> 3 [size =\"12099584\"]\n  1 -> 4 [size =\"12099584\"]\n  2 [size=\"24753493\", alpha=\"0.01\", expect_size=\"7426048\"] \n  2 -> 3 [size =\"7426048\"]\n  2 -> 4 [size =\"7426048\"]\n  2 -> 5 [size =\"7426048\"]\n  3 [size=\"57572693\", alpha=\"0.08\", expect_size=\"17271808\"] \n  3 -> 7 [size =\"17271808\"]\n  4 [size=\"170649600\", alpha=\"0.09\", expect_size=\"51194880\"] \n  4 -> 6 [size =\"51194880\"]\n  4 -> 7 [size =\"51194880\"]\n  5 [size=\"145476267\", alpha=\"0.05\", expect_size=\"43642880\"] \n  5 -> 7 [size =\"43642880\"]\n  6 [size=\"135946240\", alpha=\"0.03\", expect_size=\"40783872\"] \n  6 -> 8 [size =\"40783872\"]\n  6 -> 9 [size =\"40783872\"]\n  6 -> 10 [size =\"40783872\"]\n  7 [size=\"86565547\", alpha=\"0.19\", expect_size=\"25969664\"] \n  7 -> 8 [size =\"25969664\"]\n  7 -> 9 [size =\"25969664\"]\n  8 [size=\"26173440\", alpha=\"0.13\", expect_size=\"7852032\"] \n  8 -> 12 [size =\"7852032\"]\n  8 -> 13 [size =\"7852032\"]\n  9 [size=\"40956587\", alpha=\"0.07\", expect_size=\"12286976\"] \n  9 -> 13 [size =\"12286976\"]\n  10 [size=\"150500693\", alpha=\"0.20\", expect_size=\"45150208\"] \n  10 -> 11 [size =\"45150208\"]\n  10 -> 13 [size =\"45150208\"]\n  11 [size=\"81148587\", alpha=\"0.07\", expect_size=\"24344576\"] \n  11 -> 14 [size =\"24344576\"]\n  11 -> 15 [size =\"24344576\"]\n  12 [size=\"116599467\", alpha=\"0.00\", expect_size=\"34979840\"] \n  12 -> 14 [size =\"34979840\"]\n  12 -> 15 [size =\"34979840\"]\n  13 [size=\"120763733\", alpha=\"0.03\", expect_size=\"36229120\"] \n  13 -> 15 [size =\"36229120\"]\n  14 [size=\"22797653\", alpha=\"0.01\", expect_size=\"6839296\"] \n  14 -> 16 [size =\"6839296\"]\n  14 -> 17 [size =\"6839296\"]\n  14 -> 18 [size =\"6839296\"]\n  15 [size=\"93245440\", alpha=\"0.05\", expect_size=\"27973632\"] \n  15 -> 16 [size =\"27973632\"]\n  15 -> 17 [size =\"27973632\"]\n  15 -> 18 [size =\"27973632\"]\n  16 [size=\"131365547\", alpha=\"0.11\", expect_size=\"39409664\"] \n  16 -> 20 [size =\"39409664\"]\n  16 -> 21 [size =\"39409664\"]\n  17 [size=\"158136320\", alpha=\"0.05\", expect_size=\"47440896\"] \n  17 -> 19 [size =\"47440896\"]\n  17 -> 21 [size =\"47440896\"]\n  18 [size=\"151319893\", alpha=\"0.02\", expect_size=\"45395968\"] \n  18 -> 21 [size =\"45395968\"]\n  19 [size=\"93197653\", alpha=\"0.01\", expect_size=\"27959296\"] \n  20 [size=\"150490453\", alpha=\"0.05\", expect_size=\"45147136\"] \n  20 -> 22 [size =\"45147136\"]\n  21 [size=\"148435627\", alpha=\"0.13\", expect_size=\"44530688\"] \n  21 -> 22 [size =\"44530688\"]\n  21 -> 23 [size =\"44530688\"]\n  22 [size=\"43840853\", alpha=\"0.02\", expect_size=\"13152256\"] \n  22 -> 25 [size =\"13152256\"]\n  22 -> 26 [size =\"13152256\"]\n  23 [size=\"45752320\", alpha=\"0.16\", expect_size=\"13725696\"] \n  23 -> 24 [size =\"13725696\"]\n  23 -> 25 [size =\"13725696\"]\n  23 -> 26 [size =\"13725696\"]\n  24 [size=\"68857173\", alpha=\"0.09\", expect_size=\"20657152\"] \n  24 -> 27 [size =\"20657152\"]\n  25 [size=\"72874667\", alpha=\"0.18\", expect_size=\"21862400\"] \n  25 -> 27 [size =\"21862400\"]\n  25 -> 29 [size =\"21862400\"]\n  26 [size=\"108680533\", alpha=\"0.03\", expect_size=\"32604160\"] \n  26 -> 27 [size =\"32604160\"]\n  26 -> 28 [size =\"32604160\"]\n  27 [size=\"38864213\", alpha=\"0.16\", expect_size=\"11659264\"] \n  27 -> 30 [size =\"11659264\"]\n  27 -> 31 [size =\"11659264\"]\n  28 [size=\"75045547\", alpha=\"0.11\", expect_size=\"22513664\"] \n  28 -> 30 [size =\"22513664\"]\n  28 -> 31 [size =\"22513664\"]\n  29 [size=\"92081493\", alpha=\"0.08\", expect_size=\"27624448\"] \n  29 -> 30 [size =\"27624448\"]\n  30 [size=\"96655360\", alpha=\"0.03\", expect_size=\"28996608\"] \n  30 -> 32 [size =\"28996608\"]\n  30 -> 33 [size =\"28996608\"]\n  30 -> 34 [size =\"28996608\"]\n  31 [size=\"139212800\", alpha=\"0.05\", expect_size=\"41763840\"] \n  31 -> 32 [size =\"41763840\"]\n  31 -> 33 [size =\"41763840\"]\n  31 -> 34 [size =\"41763840\"]\n  32 [size=\"85323093\", alpha=\"0.00\", expect_size=\"25596928\"] \n  32 -> 35 [size =\"25596928\"]\n  32 -> 36 [size =\"25596928\"]\n  33 [size=\"99549867\", alpha=\"0.08\", expect_size=\"29864960\"] \n  33 -> 35 [size =\"29864960\"]\n  34 [size=\"64709973\", alpha=\"0.17\", expect_size=\"19412992\"] \n  34 -> 35 [size =\"19412992\"]\n  34 -> 36 [size =\"19412992\"]\n  35 [size=\"133973333\", alpha=\"0.16\", expect_size=\"40192000\"] \n  35 -> 38 [size =\"40192000\"]\n  36 [size=\"120773973\", alpha=\"0.09\", expect_size=\"36232192\"] \n  36 -> 37 [size =\"36232192\"]\n  36 -> 38 [size =\"36232192\"]\n  37 [size=\"143578453\", alpha=\"0.20\", expect_size=\"43073536\"] \n  37 -> 39 [size =\"43073536\"]\n  37 -> 40 [size =\"43073536\"]\n  37 -> 41 [size =\"43073536\"]\n  38 [size=\"114196480\", alpha=\"0.07\", expect_size=\"34258944\"] \n  38 -> 39 [size =\"34258944\"]\n  39 [size=\"41321813\", alpha=\"0.05\", expect_size=\"12396544\"] \n  39 -> 43 [size =\"12396544\"]\n  40 [size=\"105728000\", alpha=\"0.19\", expect_size=\"31718400\"] \n  40 -> 43 [size =\"31718400\"]\n  40 -> 44 [size =\"31718400\"]\n  41 [size=\"125863253\", alpha=\"0.11\", expect_size=\"37758976\"] \n  41 -> 42 [size =\"37758976\"]\n  41 -> 43 [size =\"37758976\"]\n  42 [size=\"165406720\", alpha=\"0.05\", expect_size=\"49622016\"] \n  42 -> 45 [size =\"49622016\"]\n  42 -> 46 [size =\"49622016\"]\n  43 [size=\"166191787\", alpha=\"0.03\", expect_size=\"49857536\"] \n  43 -> 45 [size =\"49857536\"]\n  44 [size=\"74226347\", alpha=\"0.08\", expect_size=\"22267904\"] \n  44 -> 45 [size =\"22267904\"]\n  45 [size=\"52114773\", alpha=\"0.19\", expect_size=\"15634432\"] \n  45 -> 47 [size =\"15634432\"]\n  45 -> 49 [size =\"15634432\"]\n  46 [size=\"18343253\", alpha=\"0.03\", expect_size=\"5502976\"] \n  46 -> 48 [size =\"5502976\"]\n  47 [size=\"86801067\", alpha=\"0.08\", expect_size=\"26040320\"] \n  47 -> 50 [size =\"26040320\"]\n  48 [size=\"83578880\", alpha=\"0.02\", expect_size=\"25073664\"] \n  49 [size=\"142527147\", alpha=\"0.04\", expect_size=\"42758144\"] \n  50 [size=\"24791040\", alpha=\"0.17\", expect_size=\"7437312\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.944.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"166946133\", alpha=\"0.16\", expect_size=\"50083840\"] \n  1 -> 4 [size =\"50083840\"]\n  1 -> 5 [size =\"50083840\"]\n  1 -> 6 [size =\"50083840\"]\n  2 [size=\"37771947\", alpha=\"0.13\", expect_size=\"11331584\"] \n  3 [size=\"98809173\", alpha=\"0.12\", expect_size=\"29642752\"] \n  4 [size=\"33283413\", alpha=\"0.05\", expect_size=\"9985024\"] \n  4 -> 7 [size =\"9985024\"]\n  5 [size=\"100427093\", alpha=\"0.11\", expect_size=\"30128128\"] \n  5 -> 7 [size =\"30128128\"]\n  6 [size=\"32139947\", alpha=\"0.17\", expect_size=\"9641984\"] \n  6 -> 8 [size =\"9641984\"]\n  7 [size=\"24879787\", alpha=\"0.09\", expect_size=\"7463936\"] \n  8 [size=\"28849493\", alpha=\"0.03\", expect_size=\"8654848\"] \n  8 -> 9 [size =\"8654848\"]\n  8 -> 10 [size =\"8654848\"]\n  9 [size=\"32348160\", alpha=\"0.04\", expect_size=\"9704448\"] \n  10 [size=\"86654293\", alpha=\"0.02\", expect_size=\"25996288\"] \n  10 -> 11 [size =\"25996288\"]\n  10 -> 12 [size =\"25996288\"]\n  11 [size=\"52889600\", alpha=\"0.14\", expect_size=\"15866880\"] \n  12 [size=\"18756267\", alpha=\"0.14\", expect_size=\"5626880\"] \n  12 -> 13 [size =\"5626880\"]\n  12 -> 14 [size =\"5626880\"]\n  12 -> 15 [size =\"5626880\"]\n  13 [size=\"123815253\", alpha=\"0.15\", expect_size=\"37144576\"] \n  14 [size=\"59931307\", alpha=\"0.12\", expect_size=\"17979392\"] \n  14 -> 17 [size =\"17979392\"]\n  15 [size=\"100584107\", alpha=\"0.17\", expect_size=\"30175232\"] \n  15 -> 16 [size =\"30175232\"]\n  16 [size=\"32034133\", alpha=\"0.06\", expect_size=\"9610240\"] \n  17 [size=\"163857067\", alpha=\"0.03\", expect_size=\"49157120\"] \n  17 -> 18 [size =\"49157120\"]\n  17 -> 19 [size =\"49157120\"]\n  18 [size=\"80571733\", alpha=\"0.10\", expect_size=\"24171520\"] \n  18 -> 21 [size =\"24171520\"]\n  18 -> 22 [size =\"24171520\"]\n  19 [size=\"106499413\", alpha=\"0.10\", expect_size=\"31949824\"] \n  19 -> 20 [size =\"31949824\"]\n  20 [size=\"141213013\", alpha=\"0.20\", expect_size=\"42363904\"] \n  21 [size=\"156753920\", alpha=\"0.09\", expect_size=\"47026176\"] \n  21 -> 23 [size =\"47026176\"]\n  22 [size=\"113380693\", alpha=\"0.00\", expect_size=\"34014208\"] \n  22 -> 24 [size =\"34014208\"]\n  23 [size=\"66587307\", alpha=\"0.02\", expect_size=\"19976192\"] \n  24 [size=\"28276053\", alpha=\"0.06\", expect_size=\"8482816\"] \n  24 -> 25 [size =\"8482816\"]\n  24 -> 26 [size =\"8482816\"]\n  24 -> 27 [size =\"8482816\"]\n  25 [size=\"122026667\", alpha=\"0.01\", expect_size=\"36608000\"] \n  26 [size=\"101287253\", alpha=\"0.17\", expect_size=\"30386176\"] \n  26 -> 28 [size =\"30386176\"]\n  26 -> 29 [size =\"30386176\"]\n  27 [size=\"146496853\", alpha=\"0.14\", expect_size=\"43949056\"] \n  27 -> 28 [size =\"43949056\"]\n  28 [size=\"171564373\", alpha=\"0.13\", expect_size=\"51469312\"] \n  28 -> 31 [size =\"51469312\"]\n  29 [size=\"93538987\", alpha=\"0.13\", expect_size=\"28061696\"] \n  29 -> 30 [size =\"28061696\"]\n  30 [size=\"171714560\", alpha=\"0.03\", expect_size=\"51514368\"] \n  30 -> 32 [size =\"51514368\"]\n  30 -> 33 [size =\"51514368\"]\n  31 [size=\"170765653\", alpha=\"0.17\", expect_size=\"51229696\"] \n  31 -> 34 [size =\"51229696\"]\n  32 [size=\"82875733\", alpha=\"0.11\", expect_size=\"24862720\"] \n  32 -> 36 [size =\"24862720\"]\n  33 [size=\"85630293\", alpha=\"0.18\", expect_size=\"25689088\"] \n  34 [size=\"103079253\", alpha=\"0.11\", expect_size=\"30923776\"] \n  34 -> 35 [size =\"30923776\"]\n  35 [size=\"151033173\", alpha=\"0.15\", expect_size=\"45309952\"] \n  35 -> 38 [size =\"45309952\"]\n  36 [size=\"155156480\", alpha=\"0.20\", expect_size=\"46546944\"] \n  36 -> 37 [size =\"46546944\"]\n  36 -> 39 [size =\"46546944\"]\n  37 [size=\"130116267\", alpha=\"0.04\", expect_size=\"39034880\"] \n  37 -> 40 [size =\"39034880\"]\n  38 [size=\"83322880\", alpha=\"0.16\", expect_size=\"24996864\"] \n  38 -> 41 [size =\"24996864\"]\n  39 [size=\"26146133\", alpha=\"0.19\", expect_size=\"7843840\"] \n  40 [size=\"130744320\", alpha=\"0.18\", expect_size=\"39223296\"] \n  40 -> 43 [size =\"39223296\"]\n  41 [size=\"151729493\", alpha=\"0.15\", expect_size=\"45518848\"] \n  41 -> 42 [size =\"45518848\"]\n  42 [size=\"124514987\", alpha=\"0.04\", expect_size=\"37354496\"] \n  42 -> 44 [size =\"37354496\"]\n  42 -> 45 [size =\"37354496\"]\n  43 [size=\"50380800\", alpha=\"0.19\", expect_size=\"15114240\"] \n  43 -> 46 [size =\"15114240\"]\n  44 [size=\"35672747\", alpha=\"0.16\", expect_size=\"10701824\"] \n  45 [size=\"122839040\", alpha=\"0.06\", expect_size=\"36851712\"] \n  45 -> 48 [size =\"36851712\"]\n  45 -> 49 [size =\"36851712\"]\n  46 [size=\"80424960\", alpha=\"0.06\", expect_size=\"24127488\"] \n  46 -> 47 [size =\"24127488\"]\n  47 [size=\"80274773\", alpha=\"0.03\", expect_size=\"24082432\"] \n  48 [size=\"111479467\", alpha=\"0.20\", expect_size=\"33443840\"] \n  48 -> 50 [size =\"33443840\"]\n  49 [size=\"79851520\", alpha=\"0.06\", expect_size=\"23955456\"] \n  50 [size=\"74417493\", alpha=\"0.12\", expect_size=\"22325248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.945.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20802560\", alpha=\"0.03\", expect_size=\"8321024\"] \n  1 -> 11 [size =\"8321024\"]\n  1 -> 13 [size =\"8321024\"]\n  2 [size=\"113290240\", alpha=\"0.06\", expect_size=\"45316096\"] \n  2 -> 13 [size =\"45316096\"]\n  3 [size=\"72724480\", alpha=\"0.08\", expect_size=\"29089792\"] \n  3 -> 8 [size =\"29089792\"]\n  3 -> 12 [size =\"29089792\"]\n  4 [size=\"116124160\", alpha=\"0.14\", expect_size=\"46449664\"] \n  4 -> 8 [size =\"46449664\"]\n  5 [size=\"122685440\", alpha=\"0.00\", expect_size=\"49074176\"] \n  5 -> 11 [size =\"49074176\"]\n  5 -> 12 [size =\"49074176\"]\n  5 -> 13 [size =\"49074176\"]\n  6 [size=\"15841280\", alpha=\"0.09\", expect_size=\"6336512\"] \n  6 -> 9 [size =\"6336512\"]\n  6 -> 11 [size =\"6336512\"]\n  7 [size=\"23047680\", alpha=\"0.15\", expect_size=\"9219072\"] \n  7 -> 10 [size =\"9219072\"]\n  7 -> 11 [size =\"9219072\"]\n  8 [size=\"97661440\", alpha=\"0.05\", expect_size=\"39064576\"] \n  8 -> 15 [size =\"39064576\"]\n  8 -> 16 [size =\"39064576\"]\n  8 -> 17 [size =\"39064576\"]\n  8 -> 18 [size =\"39064576\"]\n  8 -> 19 [size =\"39064576\"]\n  9 [size=\"37363200\", alpha=\"0.16\", expect_size=\"14945280\"] \n  9 -> 15 [size =\"14945280\"]\n  9 -> 17 [size =\"14945280\"]\n  9 -> 18 [size =\"14945280\"]\n  10 [size=\"116554240\", alpha=\"0.13\", expect_size=\"46621696\"] \n  10 -> 18 [size =\"46621696\"]\n  10 -> 19 [size =\"46621696\"]\n  11 [size=\"41175040\", alpha=\"0.16\", expect_size=\"16470016\"] \n  11 -> 14 [size =\"16470016\"]\n  11 -> 15 [size =\"16470016\"]\n  11 -> 19 [size =\"16470016\"]\n  12 [size=\"58595840\", alpha=\"0.01\", expect_size=\"23438336\"] \n  12 -> 14 [size =\"23438336\"]\n  12 -> 16 [size =\"23438336\"]\n  12 -> 17 [size =\"23438336\"]\n  12 -> 19 [size =\"23438336\"]\n  13 [size=\"93230080\", alpha=\"0.13\", expect_size=\"37292032\"] \n  13 -> 14 [size =\"37292032\"]\n  13 -> 15 [size =\"37292032\"]\n  13 -> 16 [size =\"37292032\"]\n  14 [size=\"24097280\", alpha=\"0.11\", expect_size=\"9638912\"] \n  14 -> 21 [size =\"9638912\"]\n  14 -> 22 [size =\"9638912\"]\n  14 -> 25 [size =\"9638912\"]\n  15 [size=\"106183680\", alpha=\"0.12\", expect_size=\"42473472\"] \n  15 -> 23 [size =\"42473472\"]\n  15 -> 24 [size =\"42473472\"]\n  15 -> 25 [size =\"42473472\"]\n  15 -> 26 [size =\"42473472\"]\n  16 [size=\"109040640\", alpha=\"0.13\", expect_size=\"43616256\"] \n  16 -> 23 [size =\"43616256\"]\n  16 -> 24 [size =\"43616256\"]\n  16 -> 25 [size =\"43616256\"]\n  17 [size=\"41694720\", alpha=\"0.02\", expect_size=\"16677888\"] \n  17 -> 21 [size =\"16677888\"]\n  17 -> 23 [size =\"16677888\"]\n  17 -> 24 [size =\"16677888\"]\n  17 -> 26 [size =\"16677888\"]\n  18 [size=\"127838720\", alpha=\"0.18\", expect_size=\"51135488\"] \n  18 -> 20 [size =\"51135488\"]\n  18 -> 22 [size =\"51135488\"]\n  18 -> 23 [size =\"51135488\"]\n  18 -> 25 [size =\"51135488\"]\n  18 -> 26 [size =\"51135488\"]\n  19 [size=\"37201920\", alpha=\"0.16\", expect_size=\"14880768\"] \n  19 -> 24 [size =\"14880768\"]\n  20 [size=\"14003200\", alpha=\"0.13\", expect_size=\"5601280\"] \n  20 -> 30 [size =\"5601280\"]\n  20 -> 32 [size =\"5601280\"]\n  21 [size=\"93242880\", alpha=\"0.12\", expect_size=\"37297152\"] \n  21 -> 27 [size =\"37297152\"]\n  21 -> 30 [size =\"37297152\"]\n  21 -> 32 [size =\"37297152\"]\n  22 [size=\"68807680\", alpha=\"0.08\", expect_size=\"27523072\"] \n  22 -> 27 [size =\"27523072\"]\n  22 -> 28 [size =\"27523072\"]\n  22 -> 29 [size =\"27523072\"]\n  22 -> 31 [size =\"27523072\"]\n  23 [size=\"76771840\", alpha=\"0.14\", expect_size=\"30708736\"] \n  23 -> 30 [size =\"30708736\"]\n  23 -> 33 [size =\"30708736\"]\n  24 [size=\"33712640\", alpha=\"0.17\", expect_size=\"13485056\"] \n  24 -> 27 [size =\"13485056\"]\n  25 [size=\"95690240\", alpha=\"0.19\", expect_size=\"38276096\"] \n  26 [size=\"46702080\", alpha=\"0.02\", expect_size=\"18680832\"] \n  26 -> 33 [size =\"18680832\"]\n  27 [size=\"126220800\", alpha=\"0.06\", expect_size=\"50488320\"] \n  27 -> 34 [size =\"50488320\"]\n  27 -> 35 [size =\"50488320\"]\n  27 -> 36 [size =\"50488320\"]\n  27 -> 37 [size =\"50488320\"]\n  27 -> 38 [size =\"50488320\"]\n  28 [size=\"18160640\", alpha=\"0.04\", expect_size=\"7264256\"] \n  28 -> 35 [size =\"7264256\"]\n  28 -> 37 [size =\"7264256\"]\n  28 -> 38 [size =\"7264256\"]\n  29 [size=\"126551040\", alpha=\"0.07\", expect_size=\"50620416\"] \n  29 -> 35 [size =\"50620416\"]\n  29 -> 37 [size =\"50620416\"]\n  30 [size=\"101368320\", alpha=\"0.07\", expect_size=\"40547328\"] \n  30 -> 35 [size =\"40547328\"]\n  30 -> 39 [size =\"40547328\"]\n  31 [size=\"61519360\", alpha=\"0.12\", expect_size=\"24607744\"] \n  31 -> 34 [size =\"24607744\"]\n  31 -> 36 [size =\"24607744\"]\n  32 [size=\"14702080\", alpha=\"0.04\", expect_size=\"5880832\"] \n  32 -> 36 [size =\"5880832\"]\n  32 -> 37 [size =\"5880832\"]\n  32 -> 39 [size =\"5880832\"]\n  33 [size=\"61102080\", alpha=\"0.10\", expect_size=\"24440832\"] \n  33 -> 36 [size =\"24440832\"]\n  33 -> 38 [size =\"24440832\"]\n  34 [size=\"24407040\", alpha=\"0.18\", expect_size=\"9762816\"] \n  34 -> 44 [size =\"9762816\"]\n  34 -> 46 [size =\"9762816\"]\n  35 [size=\"125598720\", alpha=\"0.02\", expect_size=\"50239488\"] \n  35 -> 40 [size =\"50239488\"]\n  35 -> 41 [size =\"50239488\"]\n  35 -> 42 [size =\"50239488\"]\n  36 [size=\"120360960\", alpha=\"0.02\", expect_size=\"48144384\"] \n  36 -> 42 [size =\"48144384\"]\n  36 -> 44 [size =\"48144384\"]\n  36 -> 45 [size =\"48144384\"]\n  37 [size=\"129397760\", alpha=\"0.07\", expect_size=\"51759104\"] \n  37 -> 40 [size =\"51759104\"]\n  37 -> 43 [size =\"51759104\"]\n  37 -> 45 [size =\"51759104\"]\n  38 [size=\"44684800\", alpha=\"0.11\", expect_size=\"17873920\"] \n  38 -> 46 [size =\"17873920\"]\n  39 [size=\"68738560\", alpha=\"0.20\", expect_size=\"27495424\"] \n  39 -> 43 [size =\"27495424\"]\n  39 -> 44 [size =\"27495424\"]\n  40 [size=\"107855360\", alpha=\"0.08\", expect_size=\"43142144\"] \n  41 [size=\"29550080\", alpha=\"0.11\", expect_size=\"11820032\"] \n  41 -> 48 [size =\"11820032\"]\n  41 -> 50 [size =\"11820032\"]\n  42 [size=\"97822720\", alpha=\"0.02\", expect_size=\"39129088\"] \n  42 -> 47 [size =\"39129088\"]\n  42 -> 50 [size =\"39129088\"]\n  43 [size=\"122237440\", alpha=\"0.05\", expect_size=\"48894976\"] \n  44 [size=\"64947200\", alpha=\"0.11\", expect_size=\"25978880\"] \n  44 -> 48 [size =\"25978880\"]\n  44 -> 49 [size =\"25978880\"]\n  44 -> 50 [size =\"25978880\"]\n  45 [size=\"54914560\", alpha=\"0.10\", expect_size=\"21965824\"] \n  45 -> 47 [size =\"21965824\"]\n  46 [size=\"67246080\", alpha=\"0.16\", expect_size=\"26898432\"] \n  46 -> 47 [size =\"26898432\"]\n  47 [size=\"79915520\", alpha=\"0.01\", expect_size=\"31966208\"] \n  48 [size=\"121510400\", alpha=\"0.07\", expect_size=\"48604160\"] \n  49 [size=\"70837760\", alpha=\"0.11\", expect_size=\"28335104\"] \n  50 [size=\"69954560\", alpha=\"0.11\", expect_size=\"27981824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.946.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"74311680\", alpha=\"0.13\", expect_size=\"29724672\"] \n  1 -> 3 [size =\"29724672\"]\n  1 -> 4 [size =\"29724672\"]\n  1 -> 5 [size =\"29724672\"]\n  2 [size=\"122703360\", alpha=\"0.01\", expect_size=\"49081344\"] \n  2 -> 3 [size =\"49081344\"]\n  2 -> 4 [size =\"49081344\"]\n  2 -> 5 [size =\"49081344\"]\n  3 [size=\"117713920\", alpha=\"0.06\", expect_size=\"47085568\"] \n  3 -> 6 [size =\"47085568\"]\n  3 -> 7 [size =\"47085568\"]\n  3 -> 8 [size =\"47085568\"]\n  4 [size=\"61954560\", alpha=\"0.01\", expect_size=\"24781824\"] \n  4 -> 6 [size =\"24781824\"]\n  4 -> 8 [size =\"24781824\"]\n  5 [size=\"87631360\", alpha=\"0.14\", expect_size=\"35052544\"] \n  6 [size=\"53562880\", alpha=\"0.03\", expect_size=\"21425152\"] \n  6 -> 10 [size =\"21425152\"]\n  7 [size=\"64112640\", alpha=\"0.16\", expect_size=\"25645056\"] \n  7 -> 9 [size =\"25645056\"]\n  7 -> 11 [size =\"25645056\"]\n  8 [size=\"39242240\", alpha=\"0.10\", expect_size=\"15696896\"] \n  9 [size=\"48145920\", alpha=\"0.09\", expect_size=\"19258368\"] \n  9 -> 13 [size =\"19258368\"]\n  10 [size=\"46305280\", alpha=\"0.07\", expect_size=\"18522112\"] \n  10 -> 12 [size =\"18522112\"]\n  11 [size=\"78609920\", alpha=\"0.19\", expect_size=\"31443968\"] \n  11 -> 14 [size =\"31443968\"]\n  12 [size=\"38978560\", alpha=\"0.14\", expect_size=\"15591424\"] \n  12 -> 16 [size =\"15591424\"]\n  13 [size=\"44144640\", alpha=\"0.14\", expect_size=\"17657856\"] \n  13 -> 16 [size =\"17657856\"]\n  14 [size=\"78922240\", alpha=\"0.11\", expect_size=\"31568896\"] \n  14 -> 15 [size =\"31568896\"]\n  15 [size=\"85931520\", alpha=\"0.04\", expect_size=\"34372608\"] \n  15 -> 17 [size =\"34372608\"]\n  15 -> 18 [size =\"34372608\"]\n  16 [size=\"50022400\", alpha=\"0.08\", expect_size=\"20008960\"] \n  16 -> 17 [size =\"20008960\"]\n  16 -> 18 [size =\"20008960\"]\n  17 [size=\"66900480\", alpha=\"0.10\", expect_size=\"26760192\"] \n  17 -> 19 [size =\"26760192\"]\n  17 -> 20 [size =\"26760192\"]\n  18 [size=\"45283840\", alpha=\"0.17\", expect_size=\"18113536\"] \n  18 -> 19 [size =\"18113536\"]\n  18 -> 21 [size =\"18113536\"]\n  19 [size=\"102720000\", alpha=\"0.11\", expect_size=\"41088000\"] \n  19 -> 23 [size =\"41088000\"]\n  19 -> 24 [size =\"41088000\"]\n  20 [size=\"40453120\", alpha=\"0.00\", expect_size=\"16181248\"] \n  20 -> 23 [size =\"16181248\"]\n  20 -> 24 [size =\"16181248\"]\n  21 [size=\"84119040\", alpha=\"0.00\", expect_size=\"33647616\"] \n  21 -> 22 [size =\"33647616\"]\n  22 [size=\"76984320\", alpha=\"0.19\", expect_size=\"30793728\"] \n  22 -> 26 [size =\"30793728\"]\n  22 -> 27 [size =\"30793728\"]\n  23 [size=\"41615360\", alpha=\"0.15\", expect_size=\"16646144\"] \n  23 -> 25 [size =\"16646144\"]\n  23 -> 26 [size =\"16646144\"]\n  24 [size=\"124029440\", alpha=\"0.20\", expect_size=\"49611776\"] \n  24 -> 25 [size =\"49611776\"]\n  24 -> 26 [size =\"49611776\"]\n  25 [size=\"69440000\", alpha=\"0.17\", expect_size=\"27776000\"] \n  25 -> 28 [size =\"27776000\"]\n  26 [size=\"91880960\", alpha=\"0.01\", expect_size=\"36752384\"] \n  26 -> 28 [size =\"36752384\"]\n  27 [size=\"18982400\", alpha=\"0.14\", expect_size=\"7592960\"] \n  27 -> 29 [size =\"7592960\"]\n  28 [size=\"80829440\", alpha=\"0.11\", expect_size=\"32331776\"] \n  29 [size=\"61076480\", alpha=\"0.14\", expect_size=\"24430592\"] \n  29 -> 30 [size =\"24430592\"]\n  29 -> 31 [size =\"24430592\"]\n  29 -> 32 [size =\"24430592\"]\n  30 [size=\"124462080\", alpha=\"0.03\", expect_size=\"49784832\"] \n  31 [size=\"126656000\", alpha=\"0.03\", expect_size=\"50662400\"] \n  31 -> 33 [size =\"50662400\"]\n  31 -> 34 [size =\"50662400\"]\n  32 [size=\"128870400\", alpha=\"0.07\", expect_size=\"51548160\"] \n  32 -> 34 [size =\"51548160\"]\n  33 [size=\"122734080\", alpha=\"0.17\", expect_size=\"49093632\"] \n  33 -> 35 [size =\"49093632\"]\n  33 -> 36 [size =\"49093632\"]\n  34 [size=\"94894080\", alpha=\"0.17\", expect_size=\"37957632\"] \n  35 [size=\"94197760\", alpha=\"0.10\", expect_size=\"37679104\"] \n  35 -> 39 [size =\"37679104\"]\n  36 [size=\"77201920\", alpha=\"0.10\", expect_size=\"30880768\"] \n  36 -> 37 [size =\"30880768\"]\n  36 -> 38 [size =\"30880768\"]\n  37 [size=\"84369920\", alpha=\"0.18\", expect_size=\"33747968\"] \n  37 -> 40 [size =\"33747968\"]\n  37 -> 41 [size =\"33747968\"]\n  37 -> 42 [size =\"33747968\"]\n  38 [size=\"48739840\", alpha=\"0.12\", expect_size=\"19495936\"] \n  38 -> 40 [size =\"19495936\"]\n  38 -> 41 [size =\"19495936\"]\n  39 [size=\"114416640\", alpha=\"0.01\", expect_size=\"45766656\"] \n  40 [size=\"80504320\", alpha=\"0.14\", expect_size=\"32201728\"] \n  40 -> 43 [size =\"32201728\"]\n  41 [size=\"98173440\", alpha=\"0.00\", expect_size=\"39269376\"] \n  41 -> 43 [size =\"39269376\"]\n  41 -> 44 [size =\"39269376\"]\n  41 -> 45 [size =\"39269376\"]\n  42 [size=\"114959360\", alpha=\"0.17\", expect_size=\"45983744\"] \n  43 [size=\"38768640\", alpha=\"0.18\", expect_size=\"15507456\"] \n  43 -> 47 [size =\"15507456\"]\n  44 [size=\"18606080\", alpha=\"0.18\", expect_size=\"7442432\"] \n  44 -> 46 [size =\"7442432\"]\n  45 [size=\"120286720\", alpha=\"0.08\", expect_size=\"48114688\"] \n  45 -> 48 [size =\"48114688\"]\n  46 [size=\"62740480\", alpha=\"0.11\", expect_size=\"25096192\"] \n  46 -> 49 [size =\"25096192\"]\n  47 [size=\"118814720\", alpha=\"0.15\", expect_size=\"47525888\"] \n  47 -> 49 [size =\"47525888\"]\n  47 -> 50 [size =\"47525888\"]\n  48 [size=\"106375680\", alpha=\"0.11\", expect_size=\"42550272\"] \n  49 [size=\"57600000\", alpha=\"0.14\", expect_size=\"23040000\"] \n  50 [size=\"62103040\", alpha=\"0.17\", expect_size=\"24841216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.947.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46902613\", alpha=\"0.18\", expect_size=\"14070784\"] \n  1 -> 7 [size =\"14070784\"]\n  1 -> 10 [size =\"14070784\"]\n  2 [size=\"17868800\", alpha=\"0.08\", expect_size=\"5360640\"] \n  2 -> 9 [size =\"5360640\"]\n  3 [size=\"118538240\", alpha=\"0.13\", expect_size=\"35561472\"] \n  4 [size=\"150504107\", alpha=\"0.06\", expect_size=\"45151232\"] \n  4 -> 7 [size =\"45151232\"]\n  4 -> 8 [size =\"45151232\"]\n  4 -> 10 [size =\"45151232\"]\n  5 [size=\"70703787\", alpha=\"0.10\", expect_size=\"21211136\"] \n  5 -> 7 [size =\"21211136\"]\n  5 -> 8 [size =\"21211136\"]\n  6 [size=\"151118507\", alpha=\"0.04\", expect_size=\"45335552\"] \n  6 -> 10 [size =\"45335552\"]\n  7 [size=\"112482987\", alpha=\"0.06\", expect_size=\"33744896\"] \n  7 -> 15 [size =\"33744896\"]\n  8 [size=\"23637333\", alpha=\"0.11\", expect_size=\"7091200\"] \n  8 -> 12 [size =\"7091200\"]\n  8 -> 14 [size =\"7091200\"]\n  9 [size=\"79035733\", alpha=\"0.19\", expect_size=\"23710720\"] \n  9 -> 12 [size =\"23710720\"]\n  9 -> 13 [size =\"23710720\"]\n  9 -> 14 [size =\"23710720\"]\n  10 [size=\"49537707\", alpha=\"0.04\", expect_size=\"14861312\"] \n  10 -> 11 [size =\"14861312\"]\n  10 -> 13 [size =\"14861312\"]\n  11 [size=\"121842347\", alpha=\"0.14\", expect_size=\"36552704\"] \n  12 [size=\"102901760\", alpha=\"0.04\", expect_size=\"30870528\"] \n  12 -> 16 [size =\"30870528\"]\n  12 -> 17 [size =\"30870528\"]\n  12 -> 18 [size =\"30870528\"]\n  12 -> 19 [size =\"30870528\"]\n  13 [size=\"166683307\", alpha=\"0.12\", expect_size=\"50004992\"] \n  13 -> 17 [size =\"50004992\"]\n  13 -> 18 [size =\"50004992\"]\n  13 -> 20 [size =\"50004992\"]\n  14 [size=\"113623040\", alpha=\"0.17\", expect_size=\"34086912\"] \n  15 [size=\"156962133\", alpha=\"0.17\", expect_size=\"47088640\"] \n  15 -> 19 [size =\"47088640\"]\n  16 [size=\"79394133\", alpha=\"0.15\", expect_size=\"23818240\"] \n  16 -> 21 [size =\"23818240\"]\n  16 -> 23 [size =\"23818240\"]\n  16 -> 26 [size =\"23818240\"]\n  17 [size=\"109376853\", alpha=\"0.05\", expect_size=\"32813056\"] \n  17 -> 23 [size =\"32813056\"]\n  18 [size=\"156163413\", alpha=\"0.17\", expect_size=\"46849024\"] \n  18 -> 22 [size =\"46849024\"]\n  18 -> 24 [size =\"46849024\"]\n  18 -> 25 [size =\"46849024\"]\n  19 [size=\"83858773\", alpha=\"0.18\", expect_size=\"25157632\"] \n  19 -> 22 [size =\"25157632\"]\n  19 -> 25 [size =\"25157632\"]\n  19 -> 26 [size =\"25157632\"]\n  20 [size=\"73031680\", alpha=\"0.19\", expect_size=\"21909504\"] \n  20 -> 21 [size =\"21909504\"]\n  20 -> 23 [size =\"21909504\"]\n  20 -> 26 [size =\"21909504\"]\n  21 [size=\"107311787\", alpha=\"0.04\", expect_size=\"32193536\"] \n  21 -> 28 [size =\"32193536\"]\n  21 -> 30 [size =\"32193536\"]\n  22 [size=\"62399147\", alpha=\"0.09\", expect_size=\"18719744\"] \n  22 -> 29 [size =\"18719744\"]\n  23 [size=\"91671893\", alpha=\"0.07\", expect_size=\"27501568\"] \n  23 -> 27 [size =\"27501568\"]\n  24 [size=\"31351467\", alpha=\"0.02\", expect_size=\"9405440\"] \n  24 -> 27 [size =\"9405440\"]\n  25 [size=\"162720427\", alpha=\"0.04\", expect_size=\"48816128\"] \n  25 -> 28 [size =\"48816128\"]\n  25 -> 29 [size =\"48816128\"]\n  26 [size=\"138127360\", alpha=\"0.02\", expect_size=\"41438208\"] \n  26 -> 28 [size =\"41438208\"]\n  26 -> 31 [size =\"41438208\"]\n  26 -> 32 [size =\"41438208\"]\n  27 [size=\"101683200\", alpha=\"0.13\", expect_size=\"30504960\"] \n  27 -> 33 [size =\"30504960\"]\n  27 -> 36 [size =\"30504960\"]\n  27 -> 38 [size =\"30504960\"]\n  27 -> 40 [size =\"30504960\"]\n  27 -> 41 [size =\"30504960\"]\n  28 [size=\"139810133\", alpha=\"0.05\", expect_size=\"41943040\"] \n  28 -> 34 [size =\"41943040\"]\n  29 [size=\"117558613\", alpha=\"0.04\", expect_size=\"35267584\"] \n  29 -> 35 [size =\"35267584\"]\n  29 -> 40 [size =\"35267584\"]\n  29 -> 41 [size =\"35267584\"]\n  30 [size=\"99174400\", alpha=\"0.07\", expect_size=\"29752320\"] \n  30 -> 34 [size =\"29752320\"]\n  30 -> 37 [size =\"29752320\"]\n  31 [size=\"91323733\", alpha=\"0.04\", expect_size=\"27397120\"] \n  31 -> 34 [size =\"27397120\"]\n  31 -> 39 [size =\"27397120\"]\n  32 [size=\"123432960\", alpha=\"0.12\", expect_size=\"37029888\"] \n  32 -> 37 [size =\"37029888\"]\n  33 [size=\"38611627\", alpha=\"0.18\", expect_size=\"11583488\"] \n  33 -> 42 [size =\"11583488\"]\n  34 [size=\"95208107\", alpha=\"0.17\", expect_size=\"28562432\"] \n  34 -> 43 [size =\"28562432\"]\n  34 -> 44 [size =\"28562432\"]\n  35 [size=\"111680853\", alpha=\"0.14\", expect_size=\"33504256\"] \n  35 -> 43 [size =\"33504256\"]\n  35 -> 44 [size =\"33504256\"]\n  36 [size=\"141260800\", alpha=\"0.18\", expect_size=\"42378240\"] \n  36 -> 42 [size =\"42378240\"]\n  36 -> 43 [size =\"42378240\"]\n  37 [size=\"160307200\", alpha=\"0.14\", expect_size=\"48092160\"] \n  37 -> 43 [size =\"48092160\"]\n  38 [size=\"106536960\", alpha=\"0.08\", expect_size=\"31961088\"] \n  39 [size=\"143400960\", alpha=\"0.10\", expect_size=\"43020288\"] \n  39 -> 42 [size =\"43020288\"]\n  39 -> 43 [size =\"43020288\"]\n  40 [size=\"17889280\", alpha=\"0.19\", expect_size=\"5366784\"] \n  40 -> 42 [size =\"5366784\"]\n  40 -> 44 [size =\"5366784\"]\n  41 [size=\"76639573\", alpha=\"0.20\", expect_size=\"22991872\"] \n  41 -> 44 [size =\"22991872\"]\n  42 [size=\"109438293\", alpha=\"0.06\", expect_size=\"32831488\"] \n  42 -> 47 [size =\"32831488\"]\n  42 -> 49 [size =\"32831488\"]\n  43 [size=\"44431360\", alpha=\"0.02\", expect_size=\"13329408\"] \n  43 -> 48 [size =\"13329408\"]\n  44 [size=\"30825813\", alpha=\"0.19\", expect_size=\"9247744\"] \n  44 -> 45 [size =\"9247744\"]\n  44 -> 46 [size =\"9247744\"]\n  44 -> 47 [size =\"9247744\"]\n  45 [size=\"164768427\", alpha=\"0.15\", expect_size=\"49430528\"] \n  46 [size=\"113892693\", alpha=\"0.07\", expect_size=\"34167808\"] \n  47 [size=\"97399467\", alpha=\"0.09\", expect_size=\"29219840\"] \n  48 [size=\"49906347\", alpha=\"0.06\", expect_size=\"14971904\"] \n  48 -> 50 [size =\"14971904\"]\n  49 [size=\"110100480\", alpha=\"0.17\", expect_size=\"33030144\"] \n  50 [size=\"29794987\", alpha=\"0.17\", expect_size=\"8938496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.948.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104337920\", alpha=\"0.01\", expect_size=\"41735168\"] \n  1 -> 18 [size =\"41735168\"]\n  1 -> 19 [size =\"41735168\"]\n  1 -> 29 [size =\"41735168\"]\n  1 -> 35 [size =\"41735168\"]\n  2 [size=\"87265280\", alpha=\"0.03\", expect_size=\"34906112\"] \n  2 -> 18 [size =\"34906112\"]\n  2 -> 22 [size =\"34906112\"]\n  2 -> 27 [size =\"34906112\"]\n  2 -> 34 [size =\"34906112\"]\n  2 -> 35 [size =\"34906112\"]\n  3 [size=\"95861760\", alpha=\"0.14\", expect_size=\"38344704\"] \n  3 -> 17 [size =\"38344704\"]\n  3 -> 18 [size =\"38344704\"]\n  3 -> 19 [size =\"38344704\"]\n  3 -> 22 [size =\"38344704\"]\n  4 [size=\"24985600\", alpha=\"0.16\", expect_size=\"9994240\"] \n  4 -> 21 [size =\"9994240\"]\n  4 -> 23 [size =\"9994240\"]\n  4 -> 26 [size =\"9994240\"]\n  4 -> 29 [size =\"9994240\"]\n  4 -> 32 [size =\"9994240\"]\n  4 -> 34 [size =\"9994240\"]\n  5 [size=\"131002880\", alpha=\"0.01\", expect_size=\"52401152\"] \n  5 -> 17 [size =\"52401152\"]\n  5 -> 21 [size =\"52401152\"]\n  5 -> 26 [size =\"52401152\"]\n  5 -> 27 [size =\"52401152\"]\n  6 [size=\"91197440\", alpha=\"0.18\", expect_size=\"36478976\"] \n  6 -> 22 [size =\"36478976\"]\n  6 -> 26 [size =\"36478976\"]\n  6 -> 29 [size =\"36478976\"]\n  6 -> 34 [size =\"36478976\"]\n  7 [size=\"99840000\", alpha=\"0.09\", expect_size=\"39936000\"] \n  7 -> 18 [size =\"39936000\"]\n  7 -> 19 [size =\"39936000\"]\n  7 -> 22 [size =\"39936000\"]\n  7 -> 35 [size =\"39936000\"]\n  8 [size=\"107230720\", alpha=\"0.01\", expect_size=\"42892288\"] \n  8 -> 18 [size =\"42892288\"]\n  8 -> 22 [size =\"42892288\"]\n  8 -> 25 [size =\"42892288\"]\n  8 -> 28 [size =\"42892288\"]\n  9 [size=\"45767680\", alpha=\"0.10\", expect_size=\"18307072\"] \n  9 -> 22 [size =\"18307072\"]\n  9 -> 24 [size =\"18307072\"]\n  9 -> 25 [size =\"18307072\"]\n  9 -> 26 [size =\"18307072\"]\n  9 -> 27 [size =\"18307072\"]\n  9 -> 28 [size =\"18307072\"]\n  9 -> 31 [size =\"18307072\"]\n  9 -> 35 [size =\"18307072\"]\n  10 [size=\"122403840\", alpha=\"0.17\", expect_size=\"48961536\"] \n  10 -> 21 [size =\"48961536\"]\n  10 -> 23 [size =\"48961536\"]\n  10 -> 28 [size =\"48961536\"]\n  10 -> 29 [size =\"48961536\"]\n  10 -> 31 [size =\"48961536\"]\n  10 -> 33 [size =\"48961536\"]\n  10 -> 34 [size =\"48961536\"]\n  11 [size=\"62223360\", alpha=\"0.14\", expect_size=\"24889344\"] \n  11 -> 17 [size =\"24889344\"]\n  11 -> 21 [size =\"24889344\"]\n  11 -> 30 [size =\"24889344\"]\n  11 -> 33 [size =\"24889344\"]\n  12 [size=\"65932800\", alpha=\"0.02\", expect_size=\"26373120\"] \n  12 -> 19 [size =\"26373120\"]\n  12 -> 25 [size =\"26373120\"]\n  12 -> 28 [size =\"26373120\"]\n  12 -> 31 [size =\"26373120\"]\n  12 -> 34 [size =\"26373120\"]\n  12 -> 35 [size =\"26373120\"]\n  13 [size=\"80734720\", alpha=\"0.08\", expect_size=\"32293888\"] \n  13 -> 18 [size =\"32293888\"]\n  13 -> 25 [size =\"32293888\"]\n  13 -> 28 [size =\"32293888\"]\n  13 -> 30 [size =\"32293888\"]\n  13 -> 35 [size =\"32293888\"]\n  13 -> 35 [size =\"32293888\"]\n  14 [size=\"42752000\", alpha=\"0.17\", expect_size=\"17100800\"] \n  14 -> 18 [size =\"17100800\"]\n  14 -> 26 [size =\"17100800\"]\n  14 -> 29 [size =\"17100800\"]\n  14 -> 34 [size =\"17100800\"]\n  14 -> 35 [size =\"17100800\"]\n  15 [size=\"21506560\", alpha=\"0.16\", expect_size=\"8602624\"] \n  15 -> 22 [size =\"8602624\"]\n  15 -> 25 [size =\"8602624\"]\n  15 -> 27 [size =\"8602624\"]\n  15 -> 34 [size =\"8602624\"]\n  16 [size=\"26631680\", alpha=\"0.03\", expect_size=\"10652672\"] \n  16 -> 18 [size =\"10652672\"]\n  16 -> 20 [size =\"10652672\"]\n  16 -> 21 [size =\"10652672\"]\n  16 -> 22 [size =\"10652672\"]\n  16 -> 25 [size =\"10652672\"]\n  16 -> 30 [size =\"10652672\"]\n  17 [size=\"130132480\", alpha=\"0.08\", expect_size=\"52052992\"] \n  17 -> 36 [size =\"52052992\"]\n  17 -> 37 [size =\"52052992\"]\n  17 -> 41 [size =\"52052992\"]\n  17 -> 44 [size =\"52052992\"]\n  17 -> 47 [size =\"52052992\"]\n  18 [size=\"66227200\", alpha=\"0.05\", expect_size=\"26490880\"] \n  18 -> 44 [size =\"26490880\"]\n  18 -> 46 [size =\"26490880\"]\n  19 [size=\"74775040\", alpha=\"0.07\", expect_size=\"29910016\"] \n  19 -> 42 [size =\"29910016\"]\n  19 -> 43 [size =\"29910016\"]\n  19 -> 46 [size =\"29910016\"]\n  20 [size=\"17986560\", alpha=\"0.08\", expect_size=\"7194624\"] \n  20 -> 40 [size =\"7194624\"]\n  20 -> 41 [size =\"7194624\"]\n  20 -> 46 [size =\"7194624\"]\n  21 [size=\"119979520\", alpha=\"0.04\", expect_size=\"47991808\"] \n  21 -> 37 [size =\"47991808\"]\n  21 -> 38 [size =\"47991808\"]\n  21 -> 39 [size =\"47991808\"]\n  21 -> 46 [size =\"47991808\"]\n  22 [size=\"83937280\", alpha=\"0.13\", expect_size=\"33574912\"] \n  22 -> 37 [size =\"33574912\"]\n  22 -> 38 [size =\"33574912\"]\n  22 -> 44 [size =\"33574912\"]\n  23 [size=\"94448640\", alpha=\"0.17\", expect_size=\"37779456\"] \n  23 -> 37 [size =\"37779456\"]\n  23 -> 38 [size =\"37779456\"]\n  23 -> 40 [size =\"37779456\"]\n  23 -> 43 [size =\"37779456\"]\n  23 -> 47 [size =\"37779456\"]\n  23 -> 48 [size =\"37779456\"]\n  24 [size=\"24330240\", alpha=\"0.02\", expect_size=\"9732096\"] \n  24 -> 40 [size =\"9732096\"]\n  24 -> 41 [size =\"9732096\"]\n  24 -> 42 [size =\"9732096\"]\n  24 -> 48 [size =\"9732096\"]\n  25 [size=\"125286400\", alpha=\"0.07\", expect_size=\"50114560\"] \n  25 -> 38 [size =\"50114560\"]\n  25 -> 46 [size =\"50114560\"]\n  25 -> 48 [size =\"50114560\"]\n  26 [size=\"102768640\", alpha=\"0.05\", expect_size=\"41107456\"] \n  26 -> 40 [size =\"41107456\"]\n  26 -> 41 [size =\"41107456\"]\n  26 -> 48 [size =\"41107456\"]\n  27 [size=\"122319360\", alpha=\"0.19\", expect_size=\"48927744\"] \n  28 [size=\"52497920\", alpha=\"0.08\", expect_size=\"20999168\"] \n  28 -> 37 [size =\"20999168\"]\n  28 -> 41 [size =\"20999168\"]\n  28 -> 43 [size =\"20999168\"]\n  28 -> 47 [size =\"20999168\"]\n  29 [size=\"81064960\", alpha=\"0.02\", expect_size=\"32425984\"] \n  29 -> 36 [size =\"32425984\"]\n  29 -> 37 [size =\"32425984\"]\n  29 -> 42 [size =\"32425984\"]\n  30 [size=\"120197120\", alpha=\"0.15\", expect_size=\"48078848\"] \n  30 -> 36 [size =\"48078848\"]\n  30 -> 40 [size =\"48078848\"]\n  30 -> 41 [size =\"48078848\"]\n  30 -> 46 [size =\"48078848\"]\n  31 [size=\"47856640\", alpha=\"0.17\", expect_size=\"19142656\"] \n  31 -> 37 [size =\"19142656\"]\n  31 -> 39 [size =\"19142656\"]\n  31 -> 43 [size =\"19142656\"]\n  31 -> 46 [size =\"19142656\"]\n  32 [size=\"73241600\", alpha=\"0.07\", expect_size=\"29296640\"] \n  32 -> 37 [size =\"29296640\"]\n  32 -> 39 [size =\"29296640\"]\n  32 -> 40 [size =\"29296640\"]\n  32 -> 41 [size =\"29296640\"]\n  33 [size=\"34583040\", alpha=\"0.09\", expect_size=\"13833216\"] \n  33 -> 40 [size =\"13833216\"]\n  33 -> 46 [size =\"13833216\"]\n  34 [size=\"14632960\", alpha=\"0.16\", expect_size=\"5853184\"] \n  34 -> 40 [size =\"5853184\"]\n  34 -> 42 [size =\"5853184\"]\n  35 [size=\"25274880\", alpha=\"0.04\", expect_size=\"10109952\"] \n  35 -> 37 [size =\"10109952\"]\n  35 -> 45 [size =\"10109952\"]\n  36 [size=\"66437120\", alpha=\"0.15\", expect_size=\"26574848\"] \n  37 [size=\"98250240\", alpha=\"0.06\", expect_size=\"39300096\"] \n  37 -> 50 [size =\"39300096\"]\n  38 [size=\"89477120\", alpha=\"0.05\", expect_size=\"35790848\"] \n  39 [size=\"16279040\", alpha=\"0.15\", expect_size=\"6511616\"] \n  39 -> 50 [size =\"6511616\"]\n  40 [size=\"29283840\", alpha=\"0.06\", expect_size=\"11713536\"] \n  40 -> 49 [size =\"11713536\"]\n  41 [size=\"119823360\", alpha=\"0.15\", expect_size=\"47929344\"] \n  42 [size=\"101084160\", alpha=\"0.16\", expect_size=\"40433664\"] \n  43 [size=\"25894400\", alpha=\"0.10\", expect_size=\"10357760\"] \n  44 [size=\"79846400\", alpha=\"0.07\", expect_size=\"31938560\"] \n  44 -> 50 [size =\"31938560\"]\n  45 [size=\"56657920\", alpha=\"0.02\", expect_size=\"22663168\"] \n  46 [size=\"82693120\", alpha=\"0.13\", expect_size=\"33077248\"] \n  46 -> 50 [size =\"33077248\"]\n  47 [size=\"53516800\", alpha=\"0.03\", expect_size=\"21406720\"] \n  48 [size=\"86154240\", alpha=\"0.19\", expect_size=\"34461696\"] \n  48 -> 50 [size =\"34461696\"]\n  49 [size=\"115758080\", alpha=\"0.06\", expect_size=\"46303232\"] \n  50 [size=\"86039040\", alpha=\"0.12\", expect_size=\"34415616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.949.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"66191360\", alpha=\"0.03\", expect_size=\"26476544\"] \n  1 -> 31 [size =\"26476544\"]\n  1 -> 33 [size =\"26476544\"]\n  1 -> 34 [size =\"26476544\"]\n  1 -> 36 [size =\"26476544\"]\n  1 -> 38 [size =\"26476544\"]\n  1 -> 39 [size =\"26476544\"]\n  1 -> 40 [size =\"26476544\"]\n  1 -> 41 [size =\"26476544\"]\n  1 -> 48 [size =\"26476544\"]\n  1 -> 50 [size =\"26476544\"]\n  2 [size=\"103925760\", alpha=\"0.04\", expect_size=\"41570304\"] \n  2 -> 31 [size =\"41570304\"]\n  2 -> 33 [size =\"41570304\"]\n  2 -> 34 [size =\"41570304\"]\n  2 -> 36 [size =\"41570304\"]\n  2 -> 38 [size =\"41570304\"]\n  2 -> 39 [size =\"41570304\"]\n  2 -> 40 [size =\"41570304\"]\n  2 -> 41 [size =\"41570304\"]\n  2 -> 46 [size =\"41570304\"]\n  2 -> 48 [size =\"41570304\"]\n  2 -> 49 [size =\"41570304\"]\n  2 -> 50 [size =\"41570304\"]\n  3 [size=\"72506880\", alpha=\"0.14\", expect_size=\"29002752\"] \n  3 -> 31 [size =\"29002752\"]\n  3 -> 33 [size =\"29002752\"]\n  3 -> 35 [size =\"29002752\"]\n  3 -> 36 [size =\"29002752\"]\n  3 -> 37 [size =\"29002752\"]\n  3 -> 39 [size =\"29002752\"]\n  3 -> 40 [size =\"29002752\"]\n  3 -> 41 [size =\"29002752\"]\n  3 -> 50 [size =\"29002752\"]\n  4 [size=\"29358080\", alpha=\"0.14\", expect_size=\"11743232\"] \n  4 -> 31 [size =\"11743232\"]\n  4 -> 33 [size =\"11743232\"]\n  4 -> 35 [size =\"11743232\"]\n  4 -> 36 [size =\"11743232\"]\n  4 -> 39 [size =\"11743232\"]\n  4 -> 41 [size =\"11743232\"]\n  4 -> 44 [size =\"11743232\"]\n  4 -> 45 [size =\"11743232\"]\n  4 -> 49 [size =\"11743232\"]\n  5 [size=\"122846720\", alpha=\"0.17\", expect_size=\"49138688\"] \n  5 -> 31 [size =\"49138688\"]\n  5 -> 34 [size =\"49138688\"]\n  5 -> 35 [size =\"49138688\"]\n  5 -> 36 [size =\"49138688\"]\n  5 -> 39 [size =\"49138688\"]\n  5 -> 40 [size =\"49138688\"]\n  5 -> 45 [size =\"49138688\"]\n  5 -> 47 [size =\"49138688\"]\n  5 -> 48 [size =\"49138688\"]\n  5 -> 49 [size =\"49138688\"]\n  5 -> 50 [size =\"49138688\"]\n  6 [size=\"128473600\", alpha=\"0.10\", expect_size=\"51389440\"] \n  6 -> 35 [size =\"51389440\"]\n  6 -> 36 [size =\"51389440\"]\n  6 -> 38 [size =\"51389440\"]\n  6 -> 39 [size =\"51389440\"]\n  6 -> 39 [size =\"51389440\"]\n  6 -> 41 [size =\"51389440\"]\n  6 -> 47 [size =\"51389440\"]\n  6 -> 48 [size =\"51389440\"]\n  6 -> 49 [size =\"51389440\"]\n  6 -> 49 [size =\"51389440\"]\n  6 -> 50 [size =\"51389440\"]\n  7 [size=\"71685120\", alpha=\"0.13\", expect_size=\"28674048\"] \n  7 -> 34 [size =\"28674048\"]\n  7 -> 37 [size =\"28674048\"]\n  7 -> 39 [size =\"28674048\"]\n  7 -> 46 [size =\"28674048\"]\n  7 -> 48 [size =\"28674048\"]\n  7 -> 50 [size =\"28674048\"]\n  8 [size=\"69591040\", alpha=\"0.05\", expect_size=\"27836416\"] \n  8 -> 31 [size =\"27836416\"]\n  8 -> 33 [size =\"27836416\"]\n  8 -> 34 [size =\"27836416\"]\n  8 -> 35 [size =\"27836416\"]\n  8 -> 36 [size =\"27836416\"]\n  8 -> 46 [size =\"27836416\"]\n  8 -> 48 [size =\"27836416\"]\n  8 -> 49 [size =\"27836416\"]\n  8 -> 50 [size =\"27836416\"]\n  9 [size=\"101176320\", alpha=\"0.19\", expect_size=\"40470528\"] \n  9 -> 31 [size =\"40470528\"]\n  9 -> 33 [size =\"40470528\"]\n  9 -> 34 [size =\"40470528\"]\n  9 -> 36 [size =\"40470528\"]\n  9 -> 44 [size =\"40470528\"]\n  9 -> 46 [size =\"40470528\"]\n  9 -> 47 [size =\"40470528\"]\n  9 -> 48 [size =\"40470528\"]\n  9 -> 49 [size =\"40470528\"]\n  9 -> 50 [size =\"40470528\"]\n  10 [size=\"37726720\", alpha=\"0.06\", expect_size=\"15090688\"] \n  10 -> 31 [size =\"15090688\"]\n  10 -> 34 [size =\"15090688\"]\n  10 -> 35 [size =\"15090688\"]\n  10 -> 38 [size =\"15090688\"]\n  10 -> 44 [size =\"15090688\"]\n  10 -> 45 [size =\"15090688\"]\n  10 -> 47 [size =\"15090688\"]\n  10 -> 49 [size =\"15090688\"]\n  10 -> 50 [size =\"15090688\"]\n  11 [size=\"71928320\", alpha=\"0.09\", expect_size=\"28771328\"] \n  11 -> 33 [size =\"28771328\"]\n  11 -> 34 [size =\"28771328\"]\n  11 -> 35 [size =\"28771328\"]\n  11 -> 36 [size =\"28771328\"]\n  11 -> 39 [size =\"28771328\"]\n  11 -> 47 [size =\"28771328\"]\n  11 -> 48 [size =\"28771328\"]\n  11 -> 49 [size =\"28771328\"]\n  11 -> 50 [size =\"28771328\"]\n  12 [size=\"88373760\", alpha=\"0.14\", expect_size=\"35349504\"] \n  12 -> 33 [size =\"35349504\"]\n  12 -> 35 [size =\"35349504\"]\n  12 -> 35 [size =\"35349504\"]\n  12 -> 40 [size =\"35349504\"]\n  12 -> 47 [size =\"35349504\"]\n  12 -> 50 [size =\"35349504\"]\n  13 [size=\"113894400\", alpha=\"0.20\", expect_size=\"45557760\"] \n  13 -> 33 [size =\"45557760\"]\n  13 -> 35 [size =\"45557760\"]\n  13 -> 36 [size =\"45557760\"]\n  13 -> 39 [size =\"45557760\"]\n  13 -> 40 [size =\"45557760\"]\n  13 -> 44 [size =\"45557760\"]\n  13 -> 46 [size =\"45557760\"]\n  13 -> 47 [size =\"45557760\"]\n  13 -> 50 [size =\"45557760\"]\n  14 [size=\"80596480\", alpha=\"0.10\", expect_size=\"32238592\"] \n  14 -> 31 [size =\"32238592\"]\n  14 -> 33 [size =\"32238592\"]\n  14 -> 34 [size =\"32238592\"]\n  14 -> 35 [size =\"32238592\"]\n  14 -> 36 [size =\"32238592\"]\n  14 -> 38 [size =\"32238592\"]\n  14 -> 41 [size =\"32238592\"]\n  14 -> 44 [size =\"32238592\"]\n  14 -> 45 [size =\"32238592\"]\n  14 -> 47 [size =\"32238592\"]\n  14 -> 48 [size =\"32238592\"]\n  14 -> 49 [size =\"32238592\"]\n  14 -> 50 [size =\"32238592\"]\n  15 [size=\"45340160\", alpha=\"0.04\", expect_size=\"18136064\"] \n  15 -> 31 [size =\"18136064\"]\n  15 -> 33 [size =\"18136064\"]\n  15 -> 34 [size =\"18136064\"]\n  15 -> 35 [size =\"18136064\"]\n  15 -> 37 [size =\"18136064\"]\n  15 -> 39 [size =\"18136064\"]\n  15 -> 41 [size =\"18136064\"]\n  15 -> 45 [size =\"18136064\"]\n  15 -> 45 [size =\"18136064\"]\n  15 -> 47 [size =\"18136064\"]\n  15 -> 48 [size =\"18136064\"]\n  15 -> 49 [size =\"18136064\"]\n  15 -> 50 [size =\"18136064\"]\n  16 [size=\"28715520\", alpha=\"0.03\", expect_size=\"11486208\"] \n  16 -> 33 [size =\"11486208\"]\n  16 -> 33 [size =\"11486208\"]\n  16 -> 34 [size =\"11486208\"]\n  16 -> 35 [size =\"11486208\"]\n  16 -> 37 [size =\"11486208\"]\n  16 -> 44 [size =\"11486208\"]\n  16 -> 47 [size =\"11486208\"]\n  16 -> 48 [size =\"11486208\"]\n  16 -> 49 [size =\"11486208\"]\n  16 -> 50 [size =\"11486208\"]\n  17 [size=\"85527040\", alpha=\"0.02\", expect_size=\"34210816\"] \n  17 -> 32 [size =\"34210816\"]\n  17 -> 33 [size =\"34210816\"]\n  17 -> 34 [size =\"34210816\"]\n  17 -> 35 [size =\"34210816\"]\n  17 -> 39 [size =\"34210816\"]\n  17 -> 41 [size =\"34210816\"]\n  17 -> 44 [size =\"34210816\"]\n  17 -> 45 [size =\"34210816\"]\n  17 -> 47 [size =\"34210816\"]\n  17 -> 48 [size =\"34210816\"]\n  18 [size=\"42621440\", alpha=\"0.01\", expect_size=\"17048576\"] \n  18 -> 33 [size =\"17048576\"]\n  18 -> 34 [size =\"17048576\"]\n  18 -> 34 [size =\"17048576\"]\n  18 -> 35 [size =\"17048576\"]\n  18 -> 36 [size =\"17048576\"]\n  18 -> 38 [size =\"17048576\"]\n  18 -> 41 [size =\"17048576\"]\n  18 -> 44 [size =\"17048576\"]\n  18 -> 45 [size =\"17048576\"]\n  18 -> 47 [size =\"17048576\"]\n  18 -> 48 [size =\"17048576\"]\n  18 -> 49 [size =\"17048576\"]\n  18 -> 50 [size =\"17048576\"]\n  19 [size=\"72268800\", alpha=\"0.10\", expect_size=\"28907520\"] \n  19 -> 34 [size =\"28907520\"]\n  19 -> 34 [size =\"28907520\"]\n  19 -> 35 [size =\"28907520\"]\n  19 -> 35 [size =\"28907520\"]\n  19 -> 36 [size =\"28907520\"]\n  19 -> 39 [size =\"28907520\"]\n  19 -> 41 [size =\"28907520\"]\n  19 -> 42 [size =\"28907520\"]\n  19 -> 43 [size =\"28907520\"]\n  19 -> 45 [size =\"28907520\"]\n  19 -> 47 [size =\"28907520\"]\n  19 -> 48 [size =\"28907520\"]\n  19 -> 49 [size =\"28907520\"]\n  19 -> 50 [size =\"28907520\"]\n  20 [size=\"67082240\", alpha=\"0.15\", expect_size=\"26832896\"] \n  20 -> 31 [size =\"26832896\"]\n  20 -> 33 [size =\"26832896\"]\n  20 -> 34 [size =\"26832896\"]\n  20 -> 35 [size =\"26832896\"]\n  20 -> 36 [size =\"26832896\"]\n  20 -> 39 [size =\"26832896\"]\n  20 -> 44 [size =\"26832896\"]\n  20 -> 45 [size =\"26832896\"]\n  20 -> 47 [size =\"26832896\"]\n  20 -> 48 [size =\"26832896\"]\n  20 -> 50 [size =\"26832896\"]\n  21 [size=\"105021440\", alpha=\"0.09\", expect_size=\"42008576\"] \n  21 -> 31 [size =\"42008576\"]\n  21 -> 33 [size =\"42008576\"]\n  21 -> 34 [size =\"42008576\"]\n  21 -> 35 [size =\"42008576\"]\n  21 -> 36 [size =\"42008576\"]\n  21 -> 39 [size =\"42008576\"]\n  21 -> 44 [size =\"42008576\"]\n  21 -> 45 [size =\"42008576\"]\n  21 -> 46 [size =\"42008576\"]\n  21 -> 47 [size =\"42008576\"]\n  21 -> 48 [size =\"42008576\"]\n  21 -> 49 [size =\"42008576\"]\n  21 -> 50 [size =\"42008576\"]\n  22 [size=\"40222720\", alpha=\"0.18\", expect_size=\"16089088\"] \n  22 -> 31 [size =\"16089088\"]\n  22 -> 33 [size =\"16089088\"]\n  22 -> 35 [size =\"16089088\"]\n  22 -> 36 [size =\"16089088\"]\n  22 -> 39 [size =\"16089088\"]\n  22 -> 39 [size =\"16089088\"]\n  22 -> 40 [size =\"16089088\"]\n  22 -> 44 [size =\"16089088\"]\n  22 -> 45 [size =\"16089088\"]\n  22 -> 46 [size =\"16089088\"]\n  22 -> 47 [size =\"16089088\"]\n  22 -> 49 [size =\"16089088\"]\n  23 [size=\"123164160\", alpha=\"0.18\", expect_size=\"49265664\"] \n  23 -> 31 [size =\"49265664\"]\n  23 -> 33 [size =\"49265664\"]\n  23 -> 35 [size =\"49265664\"]\n  23 -> 36 [size =\"49265664\"]\n  23 -> 41 [size =\"49265664\"]\n  23 -> 45 [size =\"49265664\"]\n  23 -> 47 [size =\"49265664\"]\n  24 [size=\"122767360\", alpha=\"0.20\", expect_size=\"49106944\"] \n  24 -> 31 [size =\"49106944\"]\n  24 -> 33 [size =\"49106944\"]\n  24 -> 34 [size =\"49106944\"]\n  24 -> 36 [size =\"49106944\"]\n  24 -> 39 [size =\"49106944\"]\n  24 -> 45 [size =\"49106944\"]\n  24 -> 47 [size =\"49106944\"]\n  24 -> 48 [size =\"49106944\"]\n  24 -> 49 [size =\"49106944\"]\n  25 [size=\"60925440\", alpha=\"0.00\", expect_size=\"24370176\"] \n  25 -> 31 [size =\"24370176\"]\n  25 -> 33 [size =\"24370176\"]\n  25 -> 34 [size =\"24370176\"]\n  25 -> 36 [size =\"24370176\"]\n  25 -> 39 [size =\"24370176\"]\n  25 -> 41 [size =\"24370176\"]\n  25 -> 45 [size =\"24370176\"]\n  25 -> 47 [size =\"24370176\"]\n  25 -> 48 [size =\"24370176\"]\n  25 -> 49 [size =\"24370176\"]\n  25 -> 50 [size =\"24370176\"]\n  26 [size=\"86069760\", alpha=\"0.01\", expect_size=\"34427904\"] \n  26 -> 31 [size =\"34427904\"]\n  26 -> 33 [size =\"34427904\"]\n  26 -> 34 [size =\"34427904\"]\n  26 -> 36 [size =\"34427904\"]\n  26 -> 37 [size =\"34427904\"]\n  26 -> 39 [size =\"34427904\"]\n  26 -> 45 [size =\"34427904\"]\n  26 -> 47 [size =\"34427904\"]\n  26 -> 48 [size =\"34427904\"]\n  26 -> 50 [size =\"34427904\"]\n  27 [size=\"102696960\", alpha=\"0.11\", expect_size=\"41078784\"] \n  27 -> 31 [size =\"41078784\"]\n  27 -> 34 [size =\"41078784\"]\n  27 -> 35 [size =\"41078784\"]\n  27 -> 36 [size =\"41078784\"]\n  27 -> 37 [size =\"41078784\"]\n  27 -> 39 [size =\"41078784\"]\n  27 -> 41 [size =\"41078784\"]\n  27 -> 45 [size =\"41078784\"]\n  27 -> 46 [size =\"41078784\"]\n  27 -> 47 [size =\"41078784\"]\n  27 -> 48 [size =\"41078784\"]\n  28 [size=\"117365760\", alpha=\"0.11\", expect_size=\"46946304\"] \n  28 -> 31 [size =\"46946304\"]\n  28 -> 35 [size =\"46946304\"]\n  28 -> 36 [size =\"46946304\"]\n  28 -> 36 [size =\"46946304\"]\n  28 -> 37 [size =\"46946304\"]\n  28 -> 39 [size =\"46946304\"]\n  28 -> 47 [size =\"46946304\"]\n  28 -> 48 [size =\"46946304\"]\n  28 -> 49 [size =\"46946304\"]\n  29 [size=\"121943040\", alpha=\"0.06\", expect_size=\"48777216\"] \n  29 -> 31 [size =\"48777216\"]\n  29 -> 35 [size =\"48777216\"]\n  29 -> 36 [size =\"48777216\"]\n  29 -> 39 [size =\"48777216\"]\n  29 -> 41 [size =\"48777216\"]\n  29 -> 47 [size =\"48777216\"]\n  29 -> 47 [size =\"48777216\"]\n  29 -> 50 [size =\"48777216\"]\n  30 [size=\"62784000\", alpha=\"0.04\", expect_size=\"25113600\"] \n  30 -> 31 [size =\"25113600\"]\n  30 -> 35 [size =\"25113600\"]\n  30 -> 36 [size =\"25113600\"]\n  30 -> 37 [size =\"25113600\"]\n  30 -> 38 [size =\"25113600\"]\n  30 -> 39 [size =\"25113600\"]\n  30 -> 41 [size =\"25113600\"]\n  30 -> 44 [size =\"25113600\"]\n  30 -> 45 [size =\"25113600\"]\n  30 -> 48 [size =\"25113600\"]\n  30 -> 49 [size =\"25113600\"]\n  30 -> 50 [size =\"25113600\"]\n  31 [size=\"32640000\", alpha=\"0.13\", expect_size=\"13056000\"] \n  32 [size=\"84590080\", alpha=\"0.15\", expect_size=\"33836032\"] \n  33 [size=\"73528320\", alpha=\"0.14\", expect_size=\"29411328\"] \n  34 [size=\"58854400\", alpha=\"0.04\", expect_size=\"23541760\"] \n  35 [size=\"56819200\", alpha=\"0.20\", expect_size=\"22727680\"] \n  36 [size=\"59197440\", alpha=\"0.18\", expect_size=\"23678976\"] \n  37 [size=\"63390720\", alpha=\"0.08\", expect_size=\"25356288\"] \n  38 [size=\"127979520\", alpha=\"0.04\", expect_size=\"51191808\"] \n  39 [size=\"73518080\", alpha=\"0.10\", expect_size=\"29407232\"] \n  40 [size=\"106040320\", alpha=\"0.04\", expect_size=\"42416128\"] \n  41 [size=\"14238720\", alpha=\"0.15\", expect_size=\"5695488\"] \n  42 [size=\"92864000\", alpha=\"0.10\", expect_size=\"37145600\"] \n  43 [size=\"63288320\", alpha=\"0.03\", expect_size=\"25315328\"] \n  44 [size=\"26306560\", alpha=\"0.15\", expect_size=\"10522624\"] \n  45 [size=\"49405440\", alpha=\"0.16\", expect_size=\"19762176\"] \n  46 [size=\"46855680\", alpha=\"0.08\", expect_size=\"18742272\"] \n  47 [size=\"34270720\", alpha=\"0.16\", expect_size=\"13708288\"] \n  48 [size=\"84067840\", alpha=\"0.02\", expect_size=\"33627136\"] \n  49 [size=\"107801600\", alpha=\"0.06\", expect_size=\"43120640\"] \n  50 [size=\"46666240\", alpha=\"0.18\", expect_size=\"18666496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81182720\", alpha=\"0.06\", expect_size=\"32473088\"] \n  1 -> 5 [size =\"32473088\"]\n  2 [size=\"115962880\", alpha=\"0.01\", expect_size=\"46385152\"] \n  2 -> 4 [size =\"46385152\"]\n  2 -> 5 [size =\"46385152\"]\n  3 [size=\"61388800\", alpha=\"0.12\", expect_size=\"24555520\"] \n  3 -> 5 [size =\"24555520\"]\n  4 [size=\"122662400\", alpha=\"0.03\", expect_size=\"49064960\"] \n  4 -> 6 [size =\"49064960\"]\n  4 -> 7 [size =\"49064960\"]\n  4 -> 8 [size =\"49064960\"]\n  5 [size=\"106327040\", alpha=\"0.01\", expect_size=\"42530816\"] \n  5 -> 6 [size =\"42530816\"]\n  5 -> 7 [size =\"42530816\"]\n  5 -> 8 [size =\"42530816\"]\n  6 [size=\"123054080\", alpha=\"0.02\", expect_size=\"49221632\"] \n  6 -> 9 [size =\"49221632\"]\n  6 -> 10 [size =\"49221632\"]\n  7 [size=\"15697920\", alpha=\"0.08\", expect_size=\"6279168\"] \n  8 [size=\"115110400\", alpha=\"0.02\", expect_size=\"46044160\"] \n  8 -> 9 [size =\"46044160\"]\n  9 [size=\"110914560\", alpha=\"0.20\", expect_size=\"44365824\"] \n  9 -> 11 [size =\"44365824\"]\n  9 -> 12 [size =\"44365824\"]\n  9 -> 13 [size =\"44365824\"]\n  10 [size=\"77250560\", alpha=\"0.12\", expect_size=\"30900224\"] \n  10 -> 11 [size =\"30900224\"]\n  10 -> 12 [size =\"30900224\"]\n  10 -> 13 [size =\"30900224\"]\n  11 [size=\"45644800\", alpha=\"0.09\", expect_size=\"18257920\"] \n  11 -> 14 [size =\"18257920\"]\n  11 -> 15 [size =\"18257920\"]\n  12 [size=\"80179200\", alpha=\"0.01\", expect_size=\"32071680\"] \n  12 -> 15 [size =\"32071680\"]\n  13 [size=\"89006080\", alpha=\"0.03\", expect_size=\"35602432\"] \n  13 -> 15 [size =\"35602432\"]\n  14 [size=\"43038720\", alpha=\"0.04\", expect_size=\"17215488\"] \n  14 -> 16 [size =\"17215488\"]\n  15 [size=\"61616640\", alpha=\"0.07\", expect_size=\"24646656\"] \n  15 -> 16 [size =\"24646656\"]\n  15 -> 17 [size =\"24646656\"]\n  16 [size=\"65950720\", alpha=\"0.20\", expect_size=\"26380288\"] \n  16 -> 20 [size =\"26380288\"]\n  17 [size=\"75829760\", alpha=\"0.12\", expect_size=\"30331904\"] \n  17 -> 18 [size =\"30331904\"]\n  17 -> 19 [size =\"30331904\"]\n  17 -> 20 [size =\"30331904\"]\n  18 [size=\"124633600\", alpha=\"0.04\", expect_size=\"49853440\"] \n  18 -> 22 [size =\"49853440\"]\n  19 [size=\"17000960\", alpha=\"0.20\", expect_size=\"6800384\"] \n  19 -> 21 [size =\"6800384\"]\n  19 -> 22 [size =\"6800384\"]\n  20 [size=\"14192640\", alpha=\"0.18\", expect_size=\"5677056\"] \n  20 -> 22 [size =\"5677056\"]\n  21 [size=\"82775040\", alpha=\"0.08\", expect_size=\"33110016\"] \n  21 -> 23 [size =\"33110016\"]\n  21 -> 25 [size =\"33110016\"]\n  22 [size=\"17241600\", alpha=\"0.16\", expect_size=\"6896640\"] \n  22 -> 23 [size =\"6896640\"]\n  22 -> 24 [size =\"6896640\"]\n  22 -> 25 [size =\"6896640\"]\n  23 [size=\"21352960\", alpha=\"0.12\", expect_size=\"8541184\"] \n  23 -> 26 [size =\"8541184\"]\n  23 -> 28 [size =\"8541184\"]\n  24 [size=\"40709120\", alpha=\"0.06\", expect_size=\"16283648\"] \n  24 -> 28 [size =\"16283648\"]\n  25 [size=\"66557440\", alpha=\"0.17\", expect_size=\"26622976\"] \n  25 -> 26 [size =\"26622976\"]\n  25 -> 27 [size =\"26622976\"]\n  26 [size=\"107328000\", alpha=\"0.06\", expect_size=\"42931200\"] \n  26 -> 29 [size =\"42931200\"]\n  26 -> 30 [size =\"42931200\"]\n  26 -> 31 [size =\"42931200\"]\n  27 [size=\"106278400\", alpha=\"0.15\", expect_size=\"42511360\"] \n  27 -> 30 [size =\"42511360\"]\n  27 -> 31 [size =\"42511360\"]\n  28 [size=\"61422080\", alpha=\"0.02\", expect_size=\"24568832\"] \n  28 -> 29 [size =\"24568832\"]\n  28 -> 31 [size =\"24568832\"]\n  29 [size=\"82398720\", alpha=\"0.05\", expect_size=\"32959488\"] \n  29 -> 32 [size =\"32959488\"]\n  29 -> 34 [size =\"32959488\"]\n  30 [size=\"79495680\", alpha=\"0.19\", expect_size=\"31798272\"] \n  30 -> 32 [size =\"31798272\"]\n  30 -> 33 [size =\"31798272\"]\n  31 [size=\"68994560\", alpha=\"0.19\", expect_size=\"27597824\"] \n  31 -> 32 [size =\"27597824\"]\n  31 -> 33 [size =\"27597824\"]\n  32 [size=\"118973440\", alpha=\"0.10\", expect_size=\"47589376\"] \n  32 -> 35 [size =\"47589376\"]\n  33 [size=\"96355840\", alpha=\"0.13\", expect_size=\"38542336\"] \n  33 -> 35 [size =\"38542336\"]\n  34 [size=\"49425920\", alpha=\"0.02\", expect_size=\"19770368\"] \n  34 -> 35 [size =\"19770368\"]\n  34 -> 36 [size =\"19770368\"]\n  35 [size=\"87744000\", alpha=\"0.19\", expect_size=\"35097600\"] \n  35 -> 37 [size =\"35097600\"]\n  35 -> 39 [size =\"35097600\"]\n  36 [size=\"68595200\", alpha=\"0.06\", expect_size=\"27438080\"] \n  36 -> 38 [size =\"27438080\"]\n  36 -> 39 [size =\"27438080\"]\n  37 [size=\"101931520\", alpha=\"0.02\", expect_size=\"40772608\"] \n  37 -> 40 [size =\"40772608\"]\n  37 -> 41 [size =\"40772608\"]\n  38 [size=\"72378880\", alpha=\"0.18\", expect_size=\"28951552\"] \n  38 -> 40 [size =\"28951552\"]\n  38 -> 41 [size =\"28951552\"]\n  39 [size=\"81943040\", alpha=\"0.14\", expect_size=\"32777216\"] \n  39 -> 40 [size =\"32777216\"]\n  39 -> 41 [size =\"32777216\"]\n  39 -> 42 [size =\"32777216\"]\n  40 [size=\"110469120\", alpha=\"0.11\", expect_size=\"44187648\"] \n  41 [size=\"104138240\", alpha=\"0.19\", expect_size=\"41655296\"] \n  41 -> 43 [size =\"41655296\"]\n  41 -> 44 [size =\"41655296\"]\n  42 [size=\"95485440\", alpha=\"0.08\", expect_size=\"38194176\"] \n  42 -> 43 [size =\"38194176\"]\n  42 -> 44 [size =\"38194176\"]\n  43 [size=\"33623040\", alpha=\"0.18\", expect_size=\"13449216\"] \n  43 -> 45 [size =\"13449216\"]\n  43 -> 46 [size =\"13449216\"]\n  43 -> 47 [size =\"13449216\"]\n  44 [size=\"112412160\", alpha=\"0.14\", expect_size=\"44964864\"] \n  44 -> 45 [size =\"44964864\"]\n  44 -> 46 [size =\"44964864\"]\n  44 -> 47 [size =\"44964864\"]\n  45 [size=\"125857280\", alpha=\"0.18\", expect_size=\"50342912\"] \n  45 -> 48 [size =\"50342912\"]\n  46 [size=\"122467840\", alpha=\"0.18\", expect_size=\"48987136\"] \n  46 -> 49 [size =\"48987136\"]\n  46 -> 50 [size =\"48987136\"]\n  47 [size=\"37125120\", alpha=\"0.14\", expect_size=\"14850048\"] \n  47 -> 49 [size =\"14850048\"]\n  47 -> 50 [size =\"14850048\"]\n  48 [size=\"50513920\", alpha=\"0.18\", expect_size=\"20205568\"] \n  49 [size=\"38231040\", alpha=\"0.14\", expect_size=\"15292416\"] \n  50 [size=\"122140160\", alpha=\"0.01\", expect_size=\"48856064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.950.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"97344853\", alpha=\"0.19\", expect_size=\"29203456\"] \n  1 -> 17 [size =\"29203456\"]\n  1 -> 28 [size =\"29203456\"]\n  1 -> 32 [size =\"29203456\"]\n  2 [size=\"65710080\", alpha=\"0.19\", expect_size=\"19713024\"] \n  2 -> 17 [size =\"19713024\"]\n  2 -> 22 [size =\"19713024\"]\n  2 -> 23 [size =\"19713024\"]\n  2 -> 27 [size =\"19713024\"]\n  2 -> 28 [size =\"19713024\"]\n  3 [size=\"54729387\", alpha=\"0.16\", expect_size=\"16418816\"] \n  3 -> 21 [size =\"16418816\"]\n  3 -> 23 [size =\"16418816\"]\n  3 -> 27 [size =\"16418816\"]\n  3 -> 28 [size =\"16418816\"]\n  3 -> 28 [size =\"16418816\"]\n  3 -> 29 [size =\"16418816\"]\n  3 -> 32 [size =\"16418816\"]\n  4 [size=\"65406293\", alpha=\"0.03\", expect_size=\"19621888\"] \n  4 -> 20 [size =\"19621888\"]\n  4 -> 21 [size =\"19621888\"]\n  4 -> 26 [size =\"19621888\"]\n  4 -> 28 [size =\"19621888\"]\n  5 [size=\"52418560\", alpha=\"0.06\", expect_size=\"15725568\"] \n  5 -> 17 [size =\"15725568\"]\n  5 -> 19 [size =\"15725568\"]\n  5 -> 21 [size =\"15725568\"]\n  5 -> 26 [size =\"15725568\"]\n  5 -> 28 [size =\"15725568\"]\n  6 [size=\"65437013\", alpha=\"0.12\", expect_size=\"19631104\"] \n  6 -> 19 [size =\"19631104\"]\n  6 -> 21 [size =\"19631104\"]\n  6 -> 21 [size =\"19631104\"]\n  6 -> 26 [size =\"19631104\"]\n  6 -> 27 [size =\"19631104\"]\n  7 [size=\"23958187\", alpha=\"0.17\", expect_size=\"7187456\"] \n  7 -> 21 [size =\"7187456\"]\n  7 -> 22 [size =\"7187456\"]\n  7 -> 23 [size =\"7187456\"]\n  7 -> 26 [size =\"7187456\"]\n  7 -> 27 [size =\"7187456\"]\n  7 -> 29 [size =\"7187456\"]\n  7 -> 32 [size =\"7187456\"]\n  8 [size=\"128959147\", alpha=\"0.07\", expect_size=\"38687744\"] \n  8 -> 24 [size =\"38687744\"]\n  8 -> 26 [size =\"38687744\"]\n  8 -> 27 [size =\"38687744\"]\n  8 -> 28 [size =\"38687744\"]\n  8 -> 29 [size =\"38687744\"]\n  9 [size=\"39396693\", alpha=\"0.10\", expect_size=\"11819008\"] \n  9 -> 23 [size =\"11819008\"]\n  9 -> 26 [size =\"11819008\"]\n  9 -> 27 [size =\"11819008\"]\n  9 -> 31 [size =\"11819008\"]\n  9 -> 32 [size =\"11819008\"]\n  10 [size=\"130867200\", alpha=\"0.01\", expect_size=\"39260160\"] \n  10 -> 17 [size =\"39260160\"]\n  10 -> 18 [size =\"39260160\"]\n  10 -> 22 [size =\"39260160\"]\n  10 -> 27 [size =\"39260160\"]\n  10 -> 32 [size =\"39260160\"]\n  11 [size=\"94429867\", alpha=\"0.05\", expect_size=\"28328960\"] \n  11 -> 19 [size =\"28328960\"]\n  11 -> 22 [size =\"28328960\"]\n  11 -> 23 [size =\"28328960\"]\n  11 -> 26 [size =\"28328960\"]\n  11 -> 27 [size =\"28328960\"]\n  12 [size=\"90224640\", alpha=\"0.07\", expect_size=\"27067392\"] \n  12 -> 19 [size =\"27067392\"]\n  12 -> 21 [size =\"27067392\"]\n  12 -> 22 [size =\"27067392\"]\n  12 -> 23 [size =\"27067392\"]\n  12 -> 24 [size =\"27067392\"]\n  12 -> 26 [size =\"27067392\"]\n  12 -> 27 [size =\"27067392\"]\n  13 [size=\"84169387\", alpha=\"0.06\", expect_size=\"25250816\"] \n  13 -> 18 [size =\"25250816\"]\n  13 -> 19 [size =\"25250816\"]\n  13 -> 20 [size =\"25250816\"]\n  13 -> 21 [size =\"25250816\"]\n  13 -> 23 [size =\"25250816\"]\n  13 -> 26 [size =\"25250816\"]\n  13 -> 27 [size =\"25250816\"]\n  13 -> 28 [size =\"25250816\"]\n  14 [size=\"49592320\", alpha=\"0.05\", expect_size=\"14877696\"] \n  14 -> 19 [size =\"14877696\"]\n  14 -> 19 [size =\"14877696\"]\n  14 -> 23 [size =\"14877696\"]\n  14 -> 26 [size =\"14877696\"]\n  14 -> 27 [size =\"14877696\"]\n  14 -> 30 [size =\"14877696\"]\n  14 -> 32 [size =\"14877696\"]\n  15 [size=\"73939627\", alpha=\"0.05\", expect_size=\"22181888\"] \n  15 -> 19 [size =\"22181888\"]\n  15 -> 20 [size =\"22181888\"]\n  15 -> 22 [size =\"22181888\"]\n  15 -> 23 [size =\"22181888\"]\n  15 -> 26 [size =\"22181888\"]\n  15 -> 32 [size =\"22181888\"]\n  16 [size=\"123054080\", alpha=\"0.08\", expect_size=\"36916224\"] \n  16 -> 17 [size =\"36916224\"]\n  16 -> 18 [size =\"36916224\"]\n  16 -> 19 [size =\"36916224\"]\n  16 -> 21 [size =\"36916224\"]\n  16 -> 23 [size =\"36916224\"]\n  16 -> 25 [size =\"36916224\"]\n  16 -> 26 [size =\"36916224\"]\n  17 [size=\"58521600\", alpha=\"0.02\", expect_size=\"17556480\"] \n  17 -> 33 [size =\"17556480\"]\n  17 -> 39 [size =\"17556480\"]\n  17 -> 40 [size =\"17556480\"]\n  17 -> 47 [size =\"17556480\"]\n  18 [size=\"38287360\", alpha=\"0.15\", expect_size=\"11486208\"] \n  18 -> 33 [size =\"11486208\"]\n  18 -> 34 [size =\"11486208\"]\n  18 -> 38 [size =\"11486208\"]\n  18 -> 39 [size =\"11486208\"]\n  18 -> 42 [size =\"11486208\"]\n  18 -> 47 [size =\"11486208\"]\n  19 [size=\"93071360\", alpha=\"0.02\", expect_size=\"27921408\"] \n  19 -> 33 [size =\"27921408\"]\n  19 -> 34 [size =\"27921408\"]\n  19 -> 37 [size =\"27921408\"]\n  19 -> 43 [size =\"27921408\"]\n  19 -> 46 [size =\"27921408\"]\n  19 -> 47 [size =\"27921408\"]\n  20 [size=\"167854080\", alpha=\"0.01\", expect_size=\"50356224\"] \n  20 -> 33 [size =\"50356224\"]\n  20 -> 35 [size =\"50356224\"]\n  20 -> 38 [size =\"50356224\"]\n  20 -> 39 [size =\"50356224\"]\n  20 -> 40 [size =\"50356224\"]\n  20 -> 43 [size =\"50356224\"]\n  20 -> 47 [size =\"50356224\"]\n  21 [size=\"172680533\", alpha=\"0.11\", expect_size=\"51804160\"] \n  21 -> 33 [size =\"51804160\"]\n  21 -> 36 [size =\"51804160\"]\n  21 -> 37 [size =\"51804160\"]\n  21 -> 39 [size =\"51804160\"]\n  21 -> 40 [size =\"51804160\"]\n  21 -> 43 [size =\"51804160\"]\n  21 -> 44 [size =\"51804160\"]\n  21 -> 45 [size =\"51804160\"]\n  21 -> 46 [size =\"51804160\"]\n  21 -> 47 [size =\"51804160\"]\n  22 [size=\"53490347\", alpha=\"0.06\", expect_size=\"16047104\"] \n  22 -> 33 [size =\"16047104\"]\n  22 -> 39 [size =\"16047104\"]\n  22 -> 43 [size =\"16047104\"]\n  22 -> 46 [size =\"16047104\"]\n  23 [size=\"109626027\", alpha=\"0.06\", expect_size=\"32887808\"] \n  23 -> 33 [size =\"32887808\"]\n  23 -> 39 [size =\"32887808\"]\n  23 -> 43 [size =\"32887808\"]\n  23 -> 45 [size =\"32887808\"]\n  23 -> 47 [size =\"32887808\"]\n  24 [size=\"159761067\", alpha=\"0.12\", expect_size=\"47928320\"] \n  24 -> 35 [size =\"47928320\"]\n  24 -> 37 [size =\"47928320\"]\n  24 -> 38 [size =\"47928320\"]\n  24 -> 39 [size =\"47928320\"]\n  24 -> 43 [size =\"47928320\"]\n  24 -> 44 [size =\"47928320\"]\n  24 -> 47 [size =\"47928320\"]\n  25 [size=\"39082667\", alpha=\"0.03\", expect_size=\"11724800\"] \n  25 -> 35 [size =\"11724800\"]\n  25 -> 38 [size =\"11724800\"]\n  25 -> 43 [size =\"11724800\"]\n  25 -> 45 [size =\"11724800\"]\n  25 -> 47 [size =\"11724800\"]\n  26 [size=\"76830720\", alpha=\"0.20\", expect_size=\"23049216\"] \n  26 -> 33 [size =\"23049216\"]\n  26 -> 35 [size =\"23049216\"]\n  26 -> 36 [size =\"23049216\"]\n  26 -> 37 [size =\"23049216\"]\n  26 -> 39 [size =\"23049216\"]\n  26 -> 41 [size =\"23049216\"]\n  26 -> 42 [size =\"23049216\"]\n  26 -> 43 [size =\"23049216\"]\n  26 -> 45 [size =\"23049216\"]\n  26 -> 47 [size =\"23049216\"]\n  27 [size=\"136963413\", alpha=\"0.17\", expect_size=\"41089024\"] \n  27 -> 35 [size =\"41089024\"]\n  27 -> 36 [size =\"41089024\"]\n  27 -> 39 [size =\"41089024\"]\n  27 -> 42 [size =\"41089024\"]\n  27 -> 43 [size =\"41089024\"]\n  27 -> 46 [size =\"41089024\"]\n  28 [size=\"153432747\", alpha=\"0.09\", expect_size=\"46029824\"] \n  28 -> 44 [size =\"46029824\"]\n  28 -> 46 [size =\"46029824\"]\n  29 [size=\"117647360\", alpha=\"0.04\", expect_size=\"35294208\"] \n  29 -> 33 [size =\"35294208\"]\n  29 -> 35 [size =\"35294208\"]\n  29 -> 36 [size =\"35294208\"]\n  29 -> 37 [size =\"35294208\"]\n  29 -> 40 [size =\"35294208\"]\n  29 -> 42 [size =\"35294208\"]\n  29 -> 44 [size =\"35294208\"]\n  29 -> 45 [size =\"35294208\"]\n  30 [size=\"135086080\", alpha=\"0.13\", expect_size=\"40525824\"] \n  30 -> 33 [size =\"40525824\"]\n  30 -> 35 [size =\"40525824\"]\n  30 -> 36 [size =\"40525824\"]\n  30 -> 37 [size =\"40525824\"]\n  30 -> 40 [size =\"40525824\"]\n  30 -> 44 [size =\"40525824\"]\n  30 -> 46 [size =\"40525824\"]\n  31 [size=\"145421653\", alpha=\"0.11\", expect_size=\"43626496\"] \n  31 -> 33 [size =\"43626496\"]\n  31 -> 36 [size =\"43626496\"]\n  31 -> 37 [size =\"43626496\"]\n  31 -> 37 [size =\"43626496\"]\n  31 -> 39 [size =\"43626496\"]\n  31 -> 40 [size =\"43626496\"]\n  31 -> 42 [size =\"43626496\"]\n  31 -> 43 [size =\"43626496\"]\n  31 -> 46 [size =\"43626496\"]\n  32 [size=\"71229440\", alpha=\"0.19\", expect_size=\"21368832\"] \n  32 -> 33 [size =\"21368832\"]\n  32 -> 37 [size =\"21368832\"]\n  32 -> 47 [size =\"21368832\"]\n  33 [size=\"118039893\", alpha=\"0.16\", expect_size=\"35411968\"] \n  33 -> 50 [size =\"35411968\"]\n  34 [size=\"165812907\", alpha=\"0.16\", expect_size=\"49743872\"] \n  35 [size=\"105195520\", alpha=\"0.04\", expect_size=\"31558656\"] \n  35 -> 49 [size =\"31558656\"]\n  36 [size=\"128416427\", alpha=\"0.05\", expect_size=\"38524928\"] \n  36 -> 48 [size =\"38524928\"]\n  37 [size=\"126153387\", alpha=\"0.12\", expect_size=\"37846016\"] \n  37 -> 48 [size =\"37846016\"]\n  37 -> 50 [size =\"37846016\"]\n  38 [size=\"104888320\", alpha=\"0.01\", expect_size=\"31466496\"] \n  38 -> 48 [size =\"31466496\"]\n  38 -> 49 [size =\"31466496\"]\n  38 -> 50 [size =\"31466496\"]\n  39 [size=\"18821120\", alpha=\"0.19\", expect_size=\"5646336\"] \n  39 -> 48 [size =\"5646336\"]\n  39 -> 49 [size =\"5646336\"]\n  39 -> 50 [size =\"5646336\"]\n  40 [size=\"47158613\", alpha=\"0.17\", expect_size=\"14147584\"] \n  40 -> 49 [size =\"14147584\"]\n  41 [size=\"146005333\", alpha=\"0.15\", expect_size=\"43801600\"] \n  41 -> 50 [size =\"43801600\"]\n  42 [size=\"77752320\", alpha=\"0.17\", expect_size=\"23325696\"] \n  42 -> 50 [size =\"23325696\"]\n  43 [size=\"72430933\", alpha=\"0.11\", expect_size=\"21729280\"] \n  43 -> 49 [size =\"21729280\"]\n  43 -> 50 [size =\"21729280\"]\n  44 [size=\"39451307\", alpha=\"0.02\", expect_size=\"11835392\"] \n  44 -> 49 [size =\"11835392\"]\n  44 -> 50 [size =\"11835392\"]\n  45 [size=\"168215893\", alpha=\"0.17\", expect_size=\"50464768\"] \n  45 -> 48 [size =\"50464768\"]\n  45 -> 49 [size =\"50464768\"]\n  46 [size=\"43335680\", alpha=\"0.19\", expect_size=\"13000704\"] \n  46 -> 49 [size =\"13000704\"]\n  46 -> 49 [size =\"13000704\"]\n  47 [size=\"84957867\", alpha=\"0.17\", expect_size=\"25487360\"] \n  47 -> 49 [size =\"25487360\"]\n  47 -> 50 [size =\"25487360\"]\n  48 [size=\"19565227\", alpha=\"0.11\", expect_size=\"5869568\"] \n  49 [size=\"25248427\", alpha=\"0.19\", expect_size=\"7574528\"] \n  50 [size=\"20319573\", alpha=\"0.01\", expect_size=\"6095872\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.951.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42642773\", alpha=\"0.08\", expect_size=\"12792832\"] \n  1 -> 44 [size =\"12792832\"]\n  1 -> 46 [size =\"12792832\"]\n  1 -> 47 [size =\"12792832\"]\n  1 -> 49 [size =\"12792832\"]\n  2 [size=\"41465173\", alpha=\"0.08\", expect_size=\"12439552\"] \n  2 -> 44 [size =\"12439552\"]\n  2 -> 46 [size =\"12439552\"]\n  2 -> 49 [size =\"12439552\"]\n  3 [size=\"52831573\", alpha=\"0.05\", expect_size=\"15849472\"] \n  3 -> 44 [size =\"15849472\"]\n  3 -> 45 [size =\"15849472\"]\n  3 -> 47 [size =\"15849472\"]\n  3 -> 48 [size =\"15849472\"]\n  3 -> 49 [size =\"15849472\"]\n  4 [size=\"62238720\", alpha=\"0.08\", expect_size=\"18671616\"] \n  4 -> 44 [size =\"18671616\"]\n  4 -> 45 [size =\"18671616\"]\n  4 -> 47 [size =\"18671616\"]\n  4 -> 48 [size =\"18671616\"]\n  5 [size=\"158395733\", alpha=\"0.02\", expect_size=\"47518720\"] \n  5 -> 44 [size =\"47518720\"]\n  5 -> 46 [size =\"47518720\"]\n  5 -> 49 [size =\"47518720\"]\n  6 [size=\"101529600\", alpha=\"0.13\", expect_size=\"30458880\"] \n  6 -> 45 [size =\"30458880\"]\n  6 -> 46 [size =\"30458880\"]\n  6 -> 48 [size =\"30458880\"]\n  6 -> 49 [size =\"30458880\"]\n  7 [size=\"62388907\", alpha=\"0.09\", expect_size=\"18716672\"] \n  7 -> 48 [size =\"18716672\"]\n  7 -> 49 [size =\"18716672\"]\n  8 [size=\"168963413\", alpha=\"0.04\", expect_size=\"50689024\"] \n  8 -> 44 [size =\"50689024\"]\n  8 -> 45 [size =\"50689024\"]\n  8 -> 48 [size =\"50689024\"]\n  8 -> 49 [size =\"50689024\"]\n  9 [size=\"30993067\", alpha=\"0.17\", expect_size=\"9297920\"] \n  9 -> 44 [size =\"9297920\"]\n  9 -> 45 [size =\"9297920\"]\n  9 -> 48 [size =\"9297920\"]\n  9 -> 49 [size =\"9297920\"]\n  9 -> 50 [size =\"9297920\"]\n  10 [size=\"90617173\", alpha=\"0.13\", expect_size=\"27185152\"] \n  10 -> 45 [size =\"27185152\"]\n  10 -> 48 [size =\"27185152\"]\n  10 -> 49 [size =\"27185152\"]\n  10 -> 49 [size =\"27185152\"]\n  11 [size=\"160320853\", alpha=\"0.01\", expect_size=\"48096256\"] \n  11 -> 44 [size =\"48096256\"]\n  11 -> 48 [size =\"48096256\"]\n  12 [size=\"62300160\", alpha=\"0.15\", expect_size=\"18690048\"] \n  12 -> 44 [size =\"18690048\"]\n  12 -> 45 [size =\"18690048\"]\n  12 -> 46 [size =\"18690048\"]\n  12 -> 48 [size =\"18690048\"]\n  12 -> 49 [size =\"18690048\"]\n  12 -> 50 [size =\"18690048\"]\n  13 [size=\"124914347\", alpha=\"0.08\", expect_size=\"37474304\"] \n  13 -> 44 [size =\"37474304\"]\n  13 -> 47 [size =\"37474304\"]\n  13 -> 48 [size =\"37474304\"]\n  13 -> 50 [size =\"37474304\"]\n  14 [size=\"165457920\", alpha=\"0.19\", expect_size=\"49637376\"] \n  14 -> 45 [size =\"49637376\"]\n  14 -> 48 [size =\"49637376\"]\n  14 -> 49 [size =\"49637376\"]\n  14 -> 50 [size =\"49637376\"]\n  15 [size=\"72813227\", alpha=\"0.11\", expect_size=\"21843968\"] \n  15 -> 45 [size =\"21843968\"]\n  15 -> 49 [size =\"21843968\"]\n  16 [size=\"86811307\", alpha=\"0.05\", expect_size=\"26043392\"] \n  16 -> 45 [size =\"26043392\"]\n  16 -> 47 [size =\"26043392\"]\n  17 [size=\"29139627\", alpha=\"0.09\", expect_size=\"8741888\"] \n  17 -> 47 [size =\"8741888\"]\n  17 -> 49 [size =\"8741888\"]\n  18 [size=\"100372480\", alpha=\"0.06\", expect_size=\"30111744\"] \n  18 -> 43 [size =\"30111744\"]\n  18 -> 44 [size =\"30111744\"]\n  18 -> 46 [size =\"30111744\"]\n  18 -> 47 [size =\"30111744\"]\n  18 -> 50 [size =\"30111744\"]\n  19 [size=\"127897600\", alpha=\"0.00\", expect_size=\"38369280\"] \n  19 -> 45 [size =\"38369280\"]\n  19 -> 46 [size =\"38369280\"]\n  19 -> 50 [size =\"38369280\"]\n  20 [size=\"101758293\", alpha=\"0.15\", expect_size=\"30527488\"] \n  20 -> 45 [size =\"30527488\"]\n  20 -> 47 [size =\"30527488\"]\n  21 [size=\"44212907\", alpha=\"0.12\", expect_size=\"13263872\"] \n  21 -> 43 [size =\"13263872\"]\n  21 -> 44 [size =\"13263872\"]\n  21 -> 45 [size =\"13263872\"]\n  21 -> 47 [size =\"13263872\"]\n  21 -> 49 [size =\"13263872\"]\n  22 [size=\"51278507\", alpha=\"0.13\", expect_size=\"15383552\"] \n  22 -> 43 [size =\"15383552\"]\n  22 -> 45 [size =\"15383552\"]\n  22 -> 46 [size =\"15383552\"]\n  22 -> 49 [size =\"15383552\"]\n  23 [size=\"168103253\", alpha=\"0.17\", expect_size=\"50430976\"] \n  23 -> 44 [size =\"50430976\"]\n  23 -> 45 [size =\"50430976\"]\n  23 -> 46 [size =\"50430976\"]\n  23 -> 48 [size =\"50430976\"]\n  23 -> 49 [size =\"50430976\"]\n  24 [size=\"70014293\", alpha=\"0.08\", expect_size=\"21004288\"] \n  24 -> 43 [size =\"21004288\"]\n  24 -> 44 [size =\"21004288\"]\n  24 -> 49 [size =\"21004288\"]\n  25 [size=\"64061440\", alpha=\"0.17\", expect_size=\"19218432\"] \n  25 -> 44 [size =\"19218432\"]\n  25 -> 46 [size =\"19218432\"]\n  25 -> 47 [size =\"19218432\"]\n  25 -> 48 [size =\"19218432\"]\n  25 -> 50 [size =\"19218432\"]\n  26 [size=\"148910080\", alpha=\"0.16\", expect_size=\"44673024\"] \n  26 -> 44 [size =\"44673024\"]\n  26 -> 46 [size =\"44673024\"]\n  26 -> 48 [size =\"44673024\"]\n  26 -> 50 [size =\"44673024\"]\n  27 [size=\"29620907\", alpha=\"0.01\", expect_size=\"8886272\"] \n  27 -> 44 [size =\"8886272\"]\n  27 -> 46 [size =\"8886272\"]\n  28 [size=\"99355307\", alpha=\"0.05\", expect_size=\"29806592\"] \n  28 -> 44 [size =\"29806592\"]\n  28 -> 46 [size =\"29806592\"]\n  28 -> 49 [size =\"29806592\"]\n  29 [size=\"143005013\", alpha=\"0.11\", expect_size=\"42901504\"] \n  29 -> 44 [size =\"42901504\"]\n  29 -> 45 [size =\"42901504\"]\n  29 -> 46 [size =\"42901504\"]\n  30 [size=\"146206720\", alpha=\"0.06\", expect_size=\"43862016\"] \n  30 -> 48 [size =\"43862016\"]\n  31 [size=\"103925760\", alpha=\"0.20\", expect_size=\"31177728\"] \n  31 -> 45 [size =\"31177728\"]\n  31 -> 48 [size =\"31177728\"]\n  32 [size=\"41325227\", alpha=\"0.19\", expect_size=\"12397568\"] \n  32 -> 46 [size =\"12397568\"]\n  32 -> 47 [size =\"12397568\"]\n  32 -> 48 [size =\"12397568\"]\n  33 [size=\"139683840\", alpha=\"0.12\", expect_size=\"41905152\"] \n  33 -> 44 [size =\"41905152\"]\n  33 -> 48 [size =\"41905152\"]\n  33 -> 48 [size =\"41905152\"]\n  34 [size=\"119787520\", alpha=\"0.03\", expect_size=\"35936256\"] \n  34 -> 47 [size =\"35936256\"]\n  34 -> 48 [size =\"35936256\"]\n  34 -> 49 [size =\"35936256\"]\n  35 [size=\"26391893\", alpha=\"0.02\", expect_size=\"7917568\"] \n  35 -> 43 [size =\"7917568\"]\n  35 -> 45 [size =\"7917568\"]\n  35 -> 47 [size =\"7917568\"]\n  35 -> 49 [size =\"7917568\"]\n  36 [size=\"157713067\", alpha=\"0.09\", expect_size=\"47313920\"] \n  36 -> 49 [size =\"47313920\"]\n  36 -> 50 [size =\"47313920\"]\n  37 [size=\"125941760\", alpha=\"0.18\", expect_size=\"37782528\"] \n  37 -> 44 [size =\"37782528\"]\n  37 -> 50 [size =\"37782528\"]\n  38 [size=\"133277013\", alpha=\"0.18\", expect_size=\"39983104\"] \n  38 -> 45 [size =\"39983104\"]\n  39 [size=\"173926400\", alpha=\"0.11\", expect_size=\"52177920\"] \n  39 -> 49 [size =\"52177920\"]\n  40 [size=\"104113493\", alpha=\"0.16\", expect_size=\"31234048\"] \n  40 -> 44 [size =\"31234048\"]\n  40 -> 45 [size =\"31234048\"]\n  40 -> 46 [size =\"31234048\"]\n  40 -> 49 [size =\"31234048\"]\n  40 -> 50 [size =\"31234048\"]\n  41 [size=\"154275840\", alpha=\"0.03\", expect_size=\"46282752\"] \n  41 -> 44 [size =\"46282752\"]\n  41 -> 48 [size =\"46282752\"]\n  41 -> 49 [size =\"46282752\"]\n  41 -> 49 [size =\"46282752\"]\n  41 -> 50 [size =\"46282752\"]\n  42 [size=\"152685227\", alpha=\"0.15\", expect_size=\"45805568\"] \n  42 -> 46 [size =\"45805568\"]\n  42 -> 48 [size =\"45805568\"]\n  42 -> 49 [size =\"45805568\"]\n  43 [size=\"144162133\", alpha=\"0.06\", expect_size=\"43248640\"] \n  44 [size=\"78868480\", alpha=\"0.04\", expect_size=\"23660544\"] \n  45 [size=\"104782507\", alpha=\"0.08\", expect_size=\"31434752\"] \n  46 [size=\"119958187\", alpha=\"0.08\", expect_size=\"35987456\"] \n  47 [size=\"36444160\", alpha=\"0.10\", expect_size=\"10933248\"] \n  48 [size=\"23190187\", alpha=\"0.02\", expect_size=\"6957056\"] \n  49 [size=\"163095893\", alpha=\"0.11\", expect_size=\"48928768\"] \n  50 [size=\"94723413\", alpha=\"0.15\", expect_size=\"28417024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.952.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"111582720\", alpha=\"0.06\", expect_size=\"44633088\"] \n  1 -> 13 [size =\"44633088\"]\n  1 -> 15 [size =\"44633088\"]\n  2 [size=\"84766720\", alpha=\"0.10\", expect_size=\"33906688\"] \n  2 -> 12 [size =\"33906688\"]\n  2 -> 14 [size =\"33906688\"]\n  3 [size=\"57740800\", alpha=\"0.19\", expect_size=\"23096320\"] \n  3 -> 10 [size =\"23096320\"]\n  3 -> 12 [size =\"23096320\"]\n  3 -> 13 [size =\"23096320\"]\n  3 -> 14 [size =\"23096320\"]\n  4 [size=\"20462080\", alpha=\"0.19\", expect_size=\"8184832\"] \n  4 -> 8 [size =\"8184832\"]\n  4 -> 10 [size =\"8184832\"]\n  4 -> 12 [size =\"8184832\"]\n  5 [size=\"122816000\", alpha=\"0.07\", expect_size=\"49126400\"] \n  5 -> 10 [size =\"49126400\"]\n  5 -> 11 [size =\"49126400\"]\n  6 [size=\"37358080\", alpha=\"0.13\", expect_size=\"14943232\"] \n  6 -> 8 [size =\"14943232\"]\n  6 -> 11 [size =\"14943232\"]\n  6 -> 13 [size =\"14943232\"]\n  6 -> 14 [size =\"14943232\"]\n  6 -> 15 [size =\"14943232\"]\n  7 [size=\"13847040\", alpha=\"0.00\", expect_size=\"5538816\"] \n  7 -> 9 [size =\"5538816\"]\n  7 -> 12 [size =\"5538816\"]\n  7 -> 13 [size =\"5538816\"]\n  8 [size=\"83215360\", alpha=\"0.11\", expect_size=\"33286144\"] \n  8 -> 17 [size =\"33286144\"]\n  8 -> 20 [size =\"33286144\"]\n  8 -> 22 [size =\"33286144\"]\n  9 [size=\"56117760\", alpha=\"0.02\", expect_size=\"22447104\"] \n  9 -> 17 [size =\"22447104\"]\n  9 -> 18 [size =\"22447104\"]\n  9 -> 19 [size =\"22447104\"]\n  10 [size=\"26165760\", alpha=\"0.10\", expect_size=\"10466304\"] \n  10 -> 16 [size =\"10466304\"]\n  10 -> 18 [size =\"10466304\"]\n  10 -> 23 [size =\"10466304\"]\n  11 [size=\"83929600\", alpha=\"0.06\", expect_size=\"33571840\"] \n  11 -> 17 [size =\"33571840\"]\n  11 -> 18 [size =\"33571840\"]\n  11 -> 21 [size =\"33571840\"]\n  11 -> 23 [size =\"33571840\"]\n  12 [size=\"116784640\", alpha=\"0.04\", expect_size=\"46713856\"] \n  12 -> 16 [size =\"46713856\"]\n  12 -> 19 [size =\"46713856\"]\n  12 -> 20 [size =\"46713856\"]\n  12 -> 21 [size =\"46713856\"]\n  12 -> 22 [size =\"46713856\"]\n  12 -> 23 [size =\"46713856\"]\n  13 [size=\"59768320\", alpha=\"0.14\", expect_size=\"23907328\"] \n  13 -> 20 [size =\"23907328\"]\n  13 -> 22 [size =\"23907328\"]\n  13 -> 23 [size =\"23907328\"]\n  14 [size=\"54423040\", alpha=\"0.06\", expect_size=\"21769216\"] \n  14 -> 17 [size =\"21769216\"]\n  14 -> 18 [size =\"21769216\"]\n  14 -> 19 [size =\"21769216\"]\n  14 -> 21 [size =\"21769216\"]\n  14 -> 22 [size =\"21769216\"]\n  15 [size=\"49689600\", alpha=\"0.12\", expect_size=\"19875840\"] \n  15 -> 18 [size =\"19875840\"]\n  15 -> 21 [size =\"19875840\"]\n  15 -> 22 [size =\"19875840\"]\n  16 [size=\"92362240\", alpha=\"0.18\", expect_size=\"36944896\"] \n  16 -> 26 [size =\"36944896\"]\n  16 -> 27 [size =\"36944896\"]\n  16 -> 30 [size =\"36944896\"]\n  17 [size=\"49556480\", alpha=\"0.00\", expect_size=\"19822592\"] \n  17 -> 26 [size =\"19822592\"]\n  17 -> 27 [size =\"19822592\"]\n  17 -> 28 [size =\"19822592\"]\n  17 -> 30 [size =\"19822592\"]\n  18 [size=\"52231680\", alpha=\"0.09\", expect_size=\"20892672\"] \n  18 -> 24 [size =\"20892672\"]\n  18 -> 26 [size =\"20892672\"]\n  18 -> 28 [size =\"20892672\"]\n  18 -> 29 [size =\"20892672\"]\n  18 -> 30 [size =\"20892672\"]\n  19 [size=\"115909120\", alpha=\"0.13\", expect_size=\"46363648\"] \n  19 -> 28 [size =\"46363648\"]\n  19 -> 29 [size =\"46363648\"]\n  20 [size=\"126620160\", alpha=\"0.19\", expect_size=\"50648064\"] \n  20 -> 25 [size =\"50648064\"]\n  20 -> 29 [size =\"50648064\"]\n  21 [size=\"68864000\", alpha=\"0.02\", expect_size=\"27545600\"] \n  22 [size=\"105771520\", alpha=\"0.16\", expect_size=\"42308608\"] \n  22 -> 26 [size =\"42308608\"]\n  22 -> 27 [size =\"42308608\"]\n  22 -> 30 [size =\"42308608\"]\n  23 [size=\"129415680\", alpha=\"0.19\", expect_size=\"51766272\"] \n  23 -> 24 [size =\"51766272\"]\n  23 -> 27 [size =\"51766272\"]\n  23 -> 30 [size =\"51766272\"]\n  24 [size=\"93527040\", alpha=\"0.02\", expect_size=\"37410816\"] \n  24 -> 31 [size =\"37410816\"]\n  24 -> 33 [size =\"37410816\"]\n  24 -> 34 [size =\"37410816\"]\n  24 -> 37 [size =\"37410816\"]\n  25 [size=\"126881280\", alpha=\"0.04\", expect_size=\"50752512\"] \n  25 -> 31 [size =\"50752512\"]\n  25 -> 33 [size =\"50752512\"]\n  26 [size=\"78617600\", alpha=\"0.11\", expect_size=\"31447040\"] \n  26 -> 31 [size =\"31447040\"]\n  26 -> 32 [size =\"31447040\"]\n  27 [size=\"64640000\", alpha=\"0.17\", expect_size=\"25856000\"] \n  27 -> 34 [size =\"25856000\"]\n  27 -> 35 [size =\"25856000\"]\n  27 -> 38 [size =\"25856000\"]\n  28 [size=\"66053120\", alpha=\"0.16\", expect_size=\"26421248\"] \n  28 -> 31 [size =\"26421248\"]\n  28 -> 32 [size =\"26421248\"]\n  28 -> 34 [size =\"26421248\"]\n  29 [size=\"119208960\", alpha=\"0.01\", expect_size=\"47683584\"] \n  29 -> 32 [size =\"47683584\"]\n  29 -> 37 [size =\"47683584\"]\n  30 [size=\"78351360\", alpha=\"0.09\", expect_size=\"31340544\"] \n  30 -> 32 [size =\"31340544\"]\n  30 -> 33 [size =\"31340544\"]\n  30 -> 36 [size =\"31340544\"]\n  31 [size=\"72437760\", alpha=\"0.09\", expect_size=\"28975104\"] \n  32 [size=\"81984000\", alpha=\"0.06\", expect_size=\"32793600\"] \n  32 -> 41 [size =\"32793600\"]\n  32 -> 42 [size =\"32793600\"]\n  33 [size=\"60684800\", alpha=\"0.11\", expect_size=\"24273920\"] \n  34 [size=\"53176320\", alpha=\"0.04\", expect_size=\"21270528\"] \n  34 -> 40 [size =\"21270528\"]\n  35 [size=\"66810880\", alpha=\"0.02\", expect_size=\"26724352\"] \n  35 -> 41 [size =\"26724352\"]\n  35 -> 42 [size =\"26724352\"]\n  36 [size=\"93337600\", alpha=\"0.14\", expect_size=\"37335040\"] \n  36 -> 40 [size =\"37335040\"]\n  36 -> 41 [size =\"37335040\"]\n  37 [size=\"39042560\", alpha=\"0.12\", expect_size=\"15617024\"] \n  37 -> 39 [size =\"15617024\"]\n  38 [size=\"22632960\", alpha=\"0.17\", expect_size=\"9053184\"] \n  38 -> 42 [size =\"9053184\"]\n  39 [size=\"114214400\", alpha=\"0.19\", expect_size=\"45685760\"] \n  39 -> 44 [size =\"45685760\"]\n  39 -> 46 [size =\"45685760\"]\n  39 -> 47 [size =\"45685760\"]\n  40 [size=\"120870400\", alpha=\"0.01\", expect_size=\"48348160\"] \n  40 -> 43 [size =\"48348160\"]\n  40 -> 47 [size =\"48348160\"]\n  41 [size=\"55662080\", alpha=\"0.12\", expect_size=\"22264832\"] \n  41 -> 45 [size =\"22264832\"]\n  42 [size=\"107376640\", alpha=\"0.18\", expect_size=\"42950656\"] \n  42 -> 43 [size =\"42950656\"]\n  42 -> 45 [size =\"42950656\"]\n  42 -> 46 [size =\"42950656\"]\n  42 -> 47 [size =\"42950656\"]\n  42 -> 48 [size =\"42950656\"]\n  43 [size=\"25797120\", alpha=\"0.05\", expect_size=\"10318848\"] \n  43 -> 49 [size =\"10318848\"]\n  44 [size=\"93516800\", alpha=\"0.05\", expect_size=\"37406720\"] \n  45 [size=\"115921920\", alpha=\"0.04\", expect_size=\"46368768\"] \n  46 [size=\"129597440\", alpha=\"0.14\", expect_size=\"51838976\"] \n  46 -> 49 [size =\"51838976\"]\n  46 -> 50 [size =\"51838976\"]\n  47 [size=\"95831040\", alpha=\"0.13\", expect_size=\"38332416\"] \n  47 -> 50 [size =\"38332416\"]\n  48 [size=\"51077120\", alpha=\"0.01\", expect_size=\"20430848\"] \n  49 [size=\"34457600\", alpha=\"0.07\", expect_size=\"13783040\"] \n  50 [size=\"30814720\", alpha=\"0.05\", expect_size=\"12325888\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.953.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31672320\", alpha=\"0.16\", expect_size=\"9501696\"] \n  1 -> 5 [size =\"9501696\"]\n  2 [size=\"169379840\", alpha=\"0.12\", expect_size=\"50813952\"] \n  3 [size=\"87715840\", alpha=\"0.15\", expect_size=\"26314752\"] \n  3 -> 4 [size =\"26314752\"]\n  4 [size=\"134816427\", alpha=\"0.09\", expect_size=\"40444928\"] \n  4 -> 6 [size =\"40444928\"]\n  4 -> 8 [size =\"40444928\"]\n  5 [size=\"150586027\", alpha=\"0.13\", expect_size=\"45175808\"] \n  5 -> 7 [size =\"45175808\"]\n  6 [size=\"90600107\", alpha=\"0.16\", expect_size=\"27180032\"] \n  6 -> 9 [size =\"27180032\"]\n  7 [size=\"25330347\", alpha=\"0.16\", expect_size=\"7599104\"] \n  7 -> 10 [size =\"7599104\"]\n  8 [size=\"73106773\", alpha=\"0.10\", expect_size=\"21932032\"] \n  8 -> 9 [size =\"21932032\"]\n  8 -> 10 [size =\"21932032\"]\n  9 [size=\"93207893\", alpha=\"0.18\", expect_size=\"27962368\"] \n  9 -> 11 [size =\"27962368\"]\n  9 -> 13 [size =\"27962368\"]\n  10 [size=\"144646827\", alpha=\"0.18\", expect_size=\"43394048\"] \n  10 -> 11 [size =\"43394048\"]\n  10 -> 12 [size =\"43394048\"]\n  10 -> 13 [size =\"43394048\"]\n  11 [size=\"112346453\", alpha=\"0.07\", expect_size=\"33703936\"] \n  11 -> 14 [size =\"33703936\"]\n  12 [size=\"77882027\", alpha=\"0.02\", expect_size=\"23364608\"] \n  12 -> 16 [size =\"23364608\"]\n  13 [size=\"174185813\", alpha=\"0.13\", expect_size=\"52255744\"] \n  13 -> 14 [size =\"52255744\"]\n  13 -> 15 [size =\"52255744\"]\n  14 [size=\"131396267\", alpha=\"0.07\", expect_size=\"39418880\"] \n  14 -> 17 [size =\"39418880\"]\n  15 [size=\"47462400\", alpha=\"0.19\", expect_size=\"14238720\"] \n  15 -> 17 [size =\"14238720\"]\n  15 -> 18 [size =\"14238720\"]\n  16 [size=\"151760213\", alpha=\"0.01\", expect_size=\"45528064\"] \n  16 -> 17 [size =\"45528064\"]\n  16 -> 18 [size =\"45528064\"]\n  17 [size=\"122132480\", alpha=\"0.03\", expect_size=\"36639744\"] \n  17 -> 19 [size =\"36639744\"]\n  17 -> 20 [size =\"36639744\"]\n  17 -> 21 [size =\"36639744\"]\n  18 [size=\"89391787\", alpha=\"0.03\", expect_size=\"26817536\"] \n  19 [size=\"166833493\", alpha=\"0.11\", expect_size=\"50050048\"] \n  19 -> 22 [size =\"50050048\"]\n  19 -> 24 [size =\"50050048\"]\n  20 [size=\"154180267\", alpha=\"0.01\", expect_size=\"46254080\"] \n  20 -> 23 [size =\"46254080\"]\n  20 -> 24 [size =\"46254080\"]\n  21 [size=\"139762347\", alpha=\"0.13\", expect_size=\"41928704\"] \n  21 -> 23 [size =\"41928704\"]\n  22 [size=\"36522667\", alpha=\"0.04\", expect_size=\"10956800\"] \n  22 -> 26 [size =\"10956800\"]\n  23 [size=\"54780587\", alpha=\"0.04\", expect_size=\"16434176\"] \n  23 -> 25 [size =\"16434176\"]\n  23 -> 27 [size =\"16434176\"]\n  24 [size=\"159337813\", alpha=\"0.18\", expect_size=\"47801344\"] \n  24 -> 25 [size =\"47801344\"]\n  25 [size=\"59941547\", alpha=\"0.10\", expect_size=\"17982464\"] \n  26 [size=\"51650560\", alpha=\"0.11\", expect_size=\"15495168\"] \n  26 -> 28 [size =\"15495168\"]\n  26 -> 29 [size =\"15495168\"]\n  27 [size=\"62450347\", alpha=\"0.13\", expect_size=\"18735104\"] \n  28 [size=\"85166080\", alpha=\"0.03\", expect_size=\"25549824\"] \n  28 -> 30 [size =\"25549824\"]\n  28 -> 31 [size =\"25549824\"]\n  28 -> 32 [size =\"25549824\"]\n  29 [size=\"110544213\", alpha=\"0.01\", expect_size=\"33163264\"] \n  29 -> 30 [size =\"33163264\"]\n  29 -> 31 [size =\"33163264\"]\n  30 [size=\"39994027\", alpha=\"0.16\", expect_size=\"11998208\"] \n  31 [size=\"47202987\", alpha=\"0.03\", expect_size=\"14160896\"] \n  31 -> 33 [size =\"14160896\"]\n  31 -> 35 [size =\"14160896\"]\n  32 [size=\"146370560\", alpha=\"0.18\", expect_size=\"43911168\"] \n  32 -> 33 [size =\"43911168\"]\n  32 -> 34 [size =\"43911168\"]\n  32 -> 35 [size =\"43911168\"]\n  33 [size=\"17541120\", alpha=\"0.13\", expect_size=\"5262336\"] \n  33 -> 36 [size =\"5262336\"]\n  34 [size=\"45530453\", alpha=\"0.02\", expect_size=\"13659136\"] \n  34 -> 37 [size =\"13659136\"]\n  35 [size=\"33105920\", alpha=\"0.15\", expect_size=\"9931776\"] \n  35 -> 36 [size =\"9931776\"]\n  35 -> 37 [size =\"9931776\"]\n  36 [size=\"113380693\", alpha=\"0.05\", expect_size=\"34014208\"] \n  36 -> 38 [size =\"34014208\"]\n  36 -> 39 [size =\"34014208\"]\n  37 [size=\"44909227\", alpha=\"0.08\", expect_size=\"13472768\"] \n  37 -> 38 [size =\"13472768\"]\n  38 [size=\"150118400\", alpha=\"0.00\", expect_size=\"45035520\"] \n  39 [size=\"170072747\", alpha=\"0.12\", expect_size=\"51021824\"] \n  39 -> 40 [size =\"51021824\"]\n  39 -> 41 [size =\"51021824\"]\n  40 [size=\"23210667\", alpha=\"0.01\", expect_size=\"6963200\"] \n  40 -> 42 [size =\"6963200\"]\n  40 -> 43 [size =\"6963200\"]\n  41 [size=\"151282347\", alpha=\"0.05\", expect_size=\"45384704\"] \n  41 -> 42 [size =\"45384704\"]\n  42 [size=\"20008960\", alpha=\"0.12\", expect_size=\"6002688\"] \n  42 -> 44 [size =\"6002688\"]\n  42 -> 45 [size =\"6002688\"]\n  43 [size=\"161665707\", alpha=\"0.03\", expect_size=\"48499712\"] \n  43 -> 44 [size =\"48499712\"]\n  44 [size=\"103813120\", alpha=\"0.13\", expect_size=\"31143936\"] \n  44 -> 46 [size =\"31143936\"]\n  44 -> 47 [size =\"31143936\"]\n  45 [size=\"117661013\", alpha=\"0.08\", expect_size=\"35298304\"] \n  45 -> 46 [size =\"35298304\"]\n  45 -> 48 [size =\"35298304\"]\n  46 [size=\"75909120\", alpha=\"0.07\", expect_size=\"22772736\"] \n  47 [size=\"112844800\", alpha=\"0.12\", expect_size=\"33853440\"] \n  47 -> 49 [size =\"33853440\"]\n  47 -> 50 [size =\"33853440\"]\n  48 [size=\"18551467\", alpha=\"0.06\", expect_size=\"5565440\"] \n  48 -> 49 [size =\"5565440\"]\n  49 [size=\"22237867\", alpha=\"0.12\", expect_size=\"6671360\"] \n  50 [size=\"115974827\", alpha=\"0.20\", expect_size=\"34792448\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.954.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60938240\", alpha=\"0.04\", expect_size=\"30469120\"] \n  1 -> 4 [size =\"30469120\"]\n  2 [size=\"31344640\", alpha=\"0.17\", expect_size=\"15672320\"] \n  2 -> 4 [size =\"15672320\"]\n  3 [size=\"97998848\", alpha=\"0.07\", expect_size=\"48999424\"] \n  3 -> 5 [size =\"48999424\"]\n  3 -> 6 [size =\"48999424\"]\n  4 [size=\"97406976\", alpha=\"0.06\", expect_size=\"48703488\"] \n  4 -> 7 [size =\"48703488\"]\n  5 [size=\"95424512\", alpha=\"0.06\", expect_size=\"47712256\"] \n  5 -> 7 [size =\"47712256\"]\n  5 -> 8 [size =\"47712256\"]\n  5 -> 9 [size =\"47712256\"]\n  6 [size=\"46475264\", alpha=\"0.19\", expect_size=\"23237632\"] \n  6 -> 9 [size =\"23237632\"]\n  7 [size=\"99561472\", alpha=\"0.05\", expect_size=\"49780736\"] \n  8 [size=\"29911040\", alpha=\"0.10\", expect_size=\"14955520\"] \n  8 -> 10 [size =\"14955520\"]\n  9 [size=\"16035840\", alpha=\"0.14\", expect_size=\"8017920\"] \n  9 -> 11 [size =\"8017920\"]\n  10 [size=\"28217344\", alpha=\"0.06\", expect_size=\"14108672\"] \n  10 -> 13 [size =\"14108672\"]\n  10 -> 14 [size =\"14108672\"]\n  11 [size=\"97185792\", alpha=\"0.20\", expect_size=\"48592896\"] \n  11 -> 12 [size =\"48592896\"]\n  12 [size=\"22001664\", alpha=\"0.01\", expect_size=\"11000832\"] \n  13 [size=\"103235584\", alpha=\"0.09\", expect_size=\"51617792\"] \n  13 -> 16 [size =\"51617792\"]\n  14 [size=\"43552768\", alpha=\"0.16\", expect_size=\"21776384\"] \n  14 -> 15 [size =\"21776384\"]\n  15 [size=\"71202816\", alpha=\"0.10\", expect_size=\"35601408\"] \n  16 [size=\"97470464\", alpha=\"0.11\", expect_size=\"48735232\"] \n  16 -> 17 [size =\"48735232\"]\n  16 -> 18 [size =\"48735232\"]\n  17 [size=\"92911616\", alpha=\"0.15\", expect_size=\"46455808\"] \n  17 -> 19 [size =\"46455808\"]\n  18 [size=\"24225792\", alpha=\"0.09\", expect_size=\"12112896\"] \n  18 -> 20 [size =\"12112896\"]\n  18 -> 21 [size =\"12112896\"]\n  19 [size=\"71473152\", alpha=\"0.10\", expect_size=\"35736576\"] \n  19 -> 22 [size =\"35736576\"]\n  19 -> 24 [size =\"35736576\"]\n  20 [size=\"41953280\", alpha=\"0.08\", expect_size=\"20976640\"] \n  21 [size=\"70336512\", alpha=\"0.17\", expect_size=\"35168256\"] \n  21 -> 23 [size =\"35168256\"]\n  21 -> 24 [size =\"35168256\"]\n  22 [size=\"68562944\", alpha=\"0.10\", expect_size=\"34281472\"] \n  23 [size=\"72744960\", alpha=\"0.02\", expect_size=\"36372480\"] \n  23 -> 25 [size =\"36372480\"]\n  23 -> 26 [size =\"36372480\"]\n  24 [size=\"20602880\", alpha=\"0.12\", expect_size=\"10301440\"] \n  25 [size=\"96397312\", alpha=\"0.00\", expect_size=\"48198656\"] \n  25 -> 27 [size =\"48198656\"]\n  25 -> 28 [size =\"48198656\"]\n  26 [size=\"48513024\", alpha=\"0.16\", expect_size=\"24256512\"] \n  27 [size=\"100290560\", alpha=\"0.11\", expect_size=\"50145280\"] \n  27 -> 29 [size =\"50145280\"]\n  27 -> 30 [size =\"50145280\"]\n  28 [size=\"76658688\", alpha=\"0.09\", expect_size=\"38329344\"] \n  29 [size=\"24565760\", alpha=\"0.09\", expect_size=\"12282880\"] \n  29 -> 32 [size =\"12282880\"]\n  30 [size=\"70451200\", alpha=\"0.13\", expect_size=\"35225600\"] \n  30 -> 31 [size =\"35225600\"]\n  31 [size=\"13058048\", alpha=\"0.15\", expect_size=\"6529024\"] \n  31 -> 33 [size =\"6529024\"]\n  32 [size=\"91584512\", alpha=\"0.20\", expect_size=\"45792256\"] \n  32 -> 34 [size =\"45792256\"]\n  33 [size=\"43773952\", alpha=\"0.04\", expect_size=\"21886976\"] \n  34 [size=\"51513344\", alpha=\"0.15\", expect_size=\"25756672\"] \n  34 -> 35 [size =\"25756672\"]\n  34 -> 36 [size =\"25756672\"]\n  34 -> 37 [size =\"25756672\"]\n  35 [size=\"12978176\", alpha=\"0.19\", expect_size=\"6489088\"] \n  35 -> 38 [size =\"6489088\"]\n  35 -> 39 [size =\"6489088\"]\n  36 [size=\"13111296\", alpha=\"0.02\", expect_size=\"6555648\"] \n  37 [size=\"87902208\", alpha=\"0.02\", expect_size=\"43951104\"] \n  38 [size=\"43309056\", alpha=\"0.05\", expect_size=\"21654528\"] \n  38 -> 40 [size =\"21654528\"]\n  38 -> 41 [size =\"21654528\"]\n  39 [size=\"87506944\", alpha=\"0.01\", expect_size=\"43753472\"] \n  40 [size=\"37300224\", alpha=\"0.03\", expect_size=\"18650112\"] \n  40 -> 43 [size =\"18650112\"]\n  41 [size=\"99168256\", alpha=\"0.18\", expect_size=\"49584128\"] \n  41 -> 42 [size =\"49584128\"]\n  42 [size=\"76693504\", alpha=\"0.06\", expect_size=\"38346752\"] \n  42 -> 44 [size =\"38346752\"]\n  43 [size=\"75765760\", alpha=\"0.07\", expect_size=\"37882880\"] \n  43 -> 45 [size =\"37882880\"]\n  43 -> 46 [size =\"37882880\"]\n  44 [size=\"94763008\", alpha=\"0.09\", expect_size=\"47381504\"] \n  44 -> 49 [size =\"47381504\"]\n  45 [size=\"72384512\", alpha=\"0.10\", expect_size=\"36192256\"] \n  46 [size=\"69345280\", alpha=\"0.20\", expect_size=\"34672640\"] \n  46 -> 47 [size =\"34672640\"]\n  46 -> 48 [size =\"34672640\"]\n  47 [size=\"78260224\", alpha=\"0.08\", expect_size=\"39130112\"] \n  48 [size=\"87183360\", alpha=\"0.10\", expect_size=\"43591680\"] \n  48 -> 50 [size =\"43591680\"]\n  49 [size=\"15484928\", alpha=\"0.15\", expect_size=\"7742464\"] \n  50 [size=\"18524160\", alpha=\"0.13\", expect_size=\"9262080\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.955.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"128245760\", alpha=\"0.08\", expect_size=\"51298304\"] \n  1 -> 24 [size =\"51298304\"]\n  1 -> 27 [size =\"51298304\"]\n  1 -> 32 [size =\"51298304\"]\n  1 -> 36 [size =\"51298304\"]\n  1 -> 37 [size =\"51298304\"]\n  1 -> 40 [size =\"51298304\"]\n  1 -> 41 [size =\"51298304\"]\n  1 -> 42 [size =\"51298304\"]\n  1 -> 45 [size =\"51298304\"]\n  2 [size=\"23848960\", alpha=\"0.03\", expect_size=\"9539584\"] \n  2 -> 24 [size =\"9539584\"]\n  2 -> 27 [size =\"9539584\"]\n  2 -> 30 [size =\"9539584\"]\n  2 -> 32 [size =\"9539584\"]\n  2 -> 34 [size =\"9539584\"]\n  2 -> 36 [size =\"9539584\"]\n  2 -> 42 [size =\"9539584\"]\n  2 -> 42 [size =\"9539584\"]\n  2 -> 43 [size =\"9539584\"]\n  3 [size=\"50493440\", alpha=\"0.02\", expect_size=\"20197376\"] \n  3 -> 24 [size =\"20197376\"]\n  3 -> 25 [size =\"20197376\"]\n  3 -> 27 [size =\"20197376\"]\n  3 -> 30 [size =\"20197376\"]\n  3 -> 36 [size =\"20197376\"]\n  3 -> 37 [size =\"20197376\"]\n  3 -> 40 [size =\"20197376\"]\n  3 -> 41 [size =\"20197376\"]\n  3 -> 42 [size =\"20197376\"]\n  4 [size=\"107855360\", alpha=\"0.17\", expect_size=\"43142144\"] \n  4 -> 24 [size =\"43142144\"]\n  4 -> 27 [size =\"43142144\"]\n  4 -> 29 [size =\"43142144\"]\n  4 -> 33 [size =\"43142144\"]\n  4 -> 37 [size =\"43142144\"]\n  4 -> 40 [size =\"43142144\"]\n  4 -> 41 [size =\"43142144\"]\n  4 -> 41 [size =\"43142144\"]\n  4 -> 42 [size =\"43142144\"]\n  4 -> 45 [size =\"43142144\"]\n  5 [size=\"44070400\", alpha=\"0.13\", expect_size=\"17628160\"] \n  5 -> 27 [size =\"17628160\"]\n  5 -> 29 [size =\"17628160\"]\n  5 -> 37 [size =\"17628160\"]\n  5 -> 41 [size =\"17628160\"]\n  5 -> 42 [size =\"17628160\"]\n  5 -> 43 [size =\"17628160\"]\n  5 -> 45 [size =\"17628160\"]\n  6 [size=\"43499520\", alpha=\"0.17\", expect_size=\"17399808\"] \n  6 -> 27 [size =\"17399808\"]\n  6 -> 34 [size =\"17399808\"]\n  6 -> 37 [size =\"17399808\"]\n  6 -> 41 [size =\"17399808\"]\n  6 -> 42 [size =\"17399808\"]\n  7 [size=\"89454080\", alpha=\"0.09\", expect_size=\"35781632\"] \n  7 -> 23 [size =\"35781632\"]\n  7 -> 28 [size =\"35781632\"]\n  7 -> 31 [size =\"35781632\"]\n  7 -> 37 [size =\"35781632\"]\n  8 [size=\"93862400\", alpha=\"0.06\", expect_size=\"37544960\"] \n  8 -> 23 [size =\"37544960\"]\n  8 -> 25 [size =\"37544960\"]\n  8 -> 32 [size =\"37544960\"]\n  8 -> 35 [size =\"37544960\"]\n  8 -> 36 [size =\"37544960\"]\n  8 -> 39 [size =\"37544960\"]\n  8 -> 42 [size =\"37544960\"]\n  9 [size=\"51182080\", alpha=\"0.20\", expect_size=\"20472832\"] \n  9 -> 24 [size =\"20472832\"]\n  9 -> 25 [size =\"20472832\"]\n  9 -> 27 [size =\"20472832\"]\n  9 -> 32 [size =\"20472832\"]\n  9 -> 41 [size =\"20472832\"]\n  10 [size=\"31682560\", alpha=\"0.05\", expect_size=\"12673024\"] \n  10 -> 23 [size =\"12673024\"]\n  10 -> 25 [size =\"12673024\"]\n  10 -> 26 [size =\"12673024\"]\n  10 -> 32 [size =\"12673024\"]\n  10 -> 34 [size =\"12673024\"]\n  10 -> 36 [size =\"12673024\"]\n  10 -> 41 [size =\"12673024\"]\n  10 -> 43 [size =\"12673024\"]\n  10 -> 45 [size =\"12673024\"]\n  11 [size=\"100567040\", alpha=\"0.12\", expect_size=\"40226816\"] \n  11 -> 25 [size =\"40226816\"]\n  11 -> 27 [size =\"40226816\"]\n  11 -> 32 [size =\"40226816\"]\n  11 -> 32 [size =\"40226816\"]\n  11 -> 34 [size =\"40226816\"]\n  11 -> 37 [size =\"40226816\"]\n  11 -> 40 [size =\"40226816\"]\n  11 -> 41 [size =\"40226816\"]\n  11 -> 43 [size =\"40226816\"]\n  11 -> 45 [size =\"40226816\"]\n  12 [size=\"32430080\", alpha=\"0.17\", expect_size=\"12972032\"] \n  12 -> 24 [size =\"12972032\"]\n  12 -> 27 [size =\"12972032\"]\n  12 -> 30 [size =\"12972032\"]\n  12 -> 33 [size =\"12972032\"]\n  12 -> 34 [size =\"12972032\"]\n  12 -> 40 [size =\"12972032\"]\n  12 -> 40 [size =\"12972032\"]\n  12 -> 45 [size =\"12972032\"]\n  12 -> 46 [size =\"12972032\"]\n  13 [size=\"52800000\", alpha=\"0.14\", expect_size=\"21120000\"] \n  13 -> 24 [size =\"21120000\"]\n  13 -> 25 [size =\"21120000\"]\n  13 -> 27 [size =\"21120000\"]\n  13 -> 29 [size =\"21120000\"]\n  13 -> 31 [size =\"21120000\"]\n  13 -> 38 [size =\"21120000\"]\n  13 -> 40 [size =\"21120000\"]\n  13 -> 41 [size =\"21120000\"]\n  13 -> 43 [size =\"21120000\"]\n  13 -> 45 [size =\"21120000\"]\n  14 [size=\"62776320\", alpha=\"0.11\", expect_size=\"25110528\"] \n  14 -> 24 [size =\"25110528\"]\n  14 -> 25 [size =\"25110528\"]\n  14 -> 28 [size =\"25110528\"]\n  14 -> 31 [size =\"25110528\"]\n  14 -> 32 [size =\"25110528\"]\n  14 -> 35 [size =\"25110528\"]\n  14 -> 37 [size =\"25110528\"]\n  15 [size=\"43271680\", alpha=\"0.12\", expect_size=\"17308672\"] \n  15 -> 23 [size =\"17308672\"]\n  15 -> 29 [size =\"17308672\"]\n  15 -> 32 [size =\"17308672\"]\n  15 -> 36 [size =\"17308672\"]\n  15 -> 39 [size =\"17308672\"]\n  15 -> 40 [size =\"17308672\"]\n  15 -> 43 [size =\"17308672\"]\n  15 -> 45 [size =\"17308672\"]\n  16 [size=\"120616960\", alpha=\"0.00\", expect_size=\"48246784\"] \n  16 -> 24 [size =\"48246784\"]\n  16 -> 25 [size =\"48246784\"]\n  16 -> 26 [size =\"48246784\"]\n  16 -> 32 [size =\"48246784\"]\n  16 -> 36 [size =\"48246784\"]\n  16 -> 37 [size =\"48246784\"]\n  16 -> 39 [size =\"48246784\"]\n  16 -> 40 [size =\"48246784\"]\n  16 -> 41 [size =\"48246784\"]\n  16 -> 45 [size =\"48246784\"]\n  17 [size=\"105656320\", alpha=\"0.02\", expect_size=\"42262528\"] \n  17 -> 26 [size =\"42262528\"]\n  17 -> 30 [size =\"42262528\"]\n  17 -> 34 [size =\"42262528\"]\n  17 -> 36 [size =\"42262528\"]\n  17 -> 40 [size =\"42262528\"]\n  17 -> 41 [size =\"42262528\"]\n  17 -> 43 [size =\"42262528\"]\n  18 [size=\"39923200\", alpha=\"0.13\", expect_size=\"15969280\"] \n  18 -> 24 [size =\"15969280\"]\n  18 -> 26 [size =\"15969280\"]\n  18 -> 27 [size =\"15969280\"]\n  18 -> 32 [size =\"15969280\"]\n  18 -> 34 [size =\"15969280\"]\n  18 -> 39 [size =\"15969280\"]\n  19 [size=\"72614400\", alpha=\"0.15\", expect_size=\"29045760\"] \n  19 -> 24 [size =\"29045760\"]\n  19 -> 26 [size =\"29045760\"]\n  19 -> 32 [size =\"29045760\"]\n  19 -> 34 [size =\"29045760\"]\n  19 -> 40 [size =\"29045760\"]\n  19 -> 44 [size =\"29045760\"]\n  20 [size=\"71636480\", alpha=\"0.00\", expect_size=\"28654592\"] \n  20 -> 24 [size =\"28654592\"]\n  20 -> 25 [size =\"28654592\"]\n  20 -> 28 [size =\"28654592\"]\n  20 -> 36 [size =\"28654592\"]\n  20 -> 37 [size =\"28654592\"]\n  20 -> 43 [size =\"28654592\"]\n  20 -> 45 [size =\"28654592\"]\n  21 [size=\"100303360\", alpha=\"0.05\", expect_size=\"40121344\"] \n  21 -> 24 [size =\"40121344\"]\n  21 -> 26 [size =\"40121344\"]\n  21 -> 31 [size =\"40121344\"]\n  21 -> 36 [size =\"40121344\"]\n  21 -> 37 [size =\"40121344\"]\n  21 -> 42 [size =\"40121344\"]\n  21 -> 43 [size =\"40121344\"]\n  22 [size=\"52687360\", alpha=\"0.12\", expect_size=\"21074944\"] \n  22 -> 24 [size =\"21074944\"]\n  22 -> 27 [size =\"21074944\"]\n  22 -> 36 [size =\"21074944\"]\n  22 -> 37 [size =\"21074944\"]\n  22 -> 40 [size =\"21074944\"]\n  22 -> 41 [size =\"21074944\"]\n  22 -> 42 [size =\"21074944\"]\n  22 -> 43 [size =\"21074944\"]\n  22 -> 45 [size =\"21074944\"]\n  23 [size=\"36165120\", alpha=\"0.04\", expect_size=\"14466048\"] \n  23 -> 47 [size =\"14466048\"]\n  23 -> 50 [size =\"14466048\"]\n  24 [size=\"118730240\", alpha=\"0.14\", expect_size=\"47492096\"] \n  24 -> 48 [size =\"47492096\"]\n  25 [size=\"63631360\", alpha=\"0.08\", expect_size=\"25452544\"] \n  25 -> 47 [size =\"25452544\"]\n  25 -> 48 [size =\"25452544\"]\n  25 -> 50 [size =\"25452544\"]\n  26 [size=\"14604800\", alpha=\"0.07\", expect_size=\"5841920\"] \n  26 -> 48 [size =\"5841920\"]\n  27 [size=\"17456640\", alpha=\"0.20\", expect_size=\"6982656\"] \n  27 -> 48 [size =\"6982656\"]\n  28 [size=\"30883840\", alpha=\"0.06\", expect_size=\"12353536\"] \n  28 -> 47 [size =\"12353536\"]\n  28 -> 48 [size =\"12353536\"]\n  28 -> 49 [size =\"12353536\"]\n  29 [size=\"106432000\", alpha=\"0.18\", expect_size=\"42572800\"] \n  29 -> 49 [size =\"42572800\"]\n  29 -> 50 [size =\"42572800\"]\n  30 [size=\"75174400\", alpha=\"0.14\", expect_size=\"30069760\"] \n  30 -> 48 [size =\"30069760\"]\n  30 -> 49 [size =\"30069760\"]\n  31 [size=\"75256320\", alpha=\"0.05\", expect_size=\"30102528\"] \n  31 -> 47 [size =\"30102528\"]\n  31 -> 48 [size =\"30102528\"]\n  31 -> 49 [size =\"30102528\"]\n  32 [size=\"103854080\", alpha=\"0.18\", expect_size=\"41541632\"] \n  32 -> 47 [size =\"41541632\"]\n  32 -> 48 [size =\"41541632\"]\n  33 [size=\"53747200\", alpha=\"0.19\", expect_size=\"21498880\"] \n  33 -> 47 [size =\"21498880\"]\n  33 -> 48 [size =\"21498880\"]\n  34 [size=\"80289280\", alpha=\"0.08\", expect_size=\"32115712\"] \n  34 -> 48 [size =\"32115712\"]\n  35 [size=\"42296320\", alpha=\"0.02\", expect_size=\"16918528\"] \n  35 -> 48 [size =\"16918528\"]\n  35 -> 49 [size =\"16918528\"]\n  36 [size=\"88701440\", alpha=\"0.14\", expect_size=\"35480576\"] \n  36 -> 48 [size =\"35480576\"]\n  37 [size=\"13967360\", alpha=\"0.02\", expect_size=\"5586944\"] \n  37 -> 48 [size =\"5586944\"]\n  38 [size=\"130373120\", alpha=\"0.15\", expect_size=\"52149248\"] \n  38 -> 50 [size =\"52149248\"]\n  39 [size=\"46809600\", alpha=\"0.17\", expect_size=\"18723840\"] \n  39 -> 47 [size =\"18723840\"]\n  39 -> 50 [size =\"18723840\"]\n  40 [size=\"37288960\", alpha=\"0.10\", expect_size=\"14915584\"] \n  40 -> 47 [size =\"14915584\"]\n  40 -> 50 [size =\"14915584\"]\n  41 [size=\"120386560\", alpha=\"0.17\", expect_size=\"48154624\"] \n  41 -> 49 [size =\"48154624\"]\n  41 -> 50 [size =\"48154624\"]\n  42 [size=\"29665280\", alpha=\"0.11\", expect_size=\"11866112\"] \n  43 [size=\"20380160\", alpha=\"0.09\", expect_size=\"8152064\"] \n  43 -> 47 [size =\"8152064\"]\n  43 -> 48 [size =\"8152064\"]\n  44 [size=\"14264320\", alpha=\"0.05\", expect_size=\"5705728\"] \n  45 [size=\"60981760\", alpha=\"0.10\", expect_size=\"24392704\"] \n  45 -> 49 [size =\"24392704\"]\n  46 [size=\"72739840\", alpha=\"0.14\", expect_size=\"29095936\"] \n  46 -> 50 [size =\"29095936\"]\n  47 [size=\"39078400\", alpha=\"0.20\", expect_size=\"15631360\"] \n  48 [size=\"52551680\", alpha=\"0.08\", expect_size=\"21020672\"] \n  49 [size=\"22013440\", alpha=\"0.12\", expect_size=\"8805376\"] \n  50 [size=\"124933120\", alpha=\"0.07\", expect_size=\"49973248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.956.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"35760640\", alpha=\"0.04\", expect_size=\"14304256\"] \n  1 -> 49 [size =\"14304256\"]\n  2 [size=\"115448320\", alpha=\"0.07\", expect_size=\"46179328\"] \n  2 -> 46 [size =\"46179328\"]\n  2 -> 48 [size =\"46179328\"]\n  2 -> 50 [size =\"46179328\"]\n  3 [size=\"47083520\", alpha=\"0.07\", expect_size=\"18833408\"] \n  3 -> 46 [size =\"18833408\"]\n  3 -> 47 [size =\"18833408\"]\n  4 [size=\"120893440\", alpha=\"0.09\", expect_size=\"48357376\"] \n  4 -> 47 [size =\"48357376\"]\n  5 [size=\"51363840\", alpha=\"0.08\", expect_size=\"20545536\"] \n  5 -> 47 [size =\"20545536\"]\n  6 [size=\"94725120\", alpha=\"0.05\", expect_size=\"37890048\"] \n  6 -> 48 [size =\"37890048\"]\n  6 -> 49 [size =\"37890048\"]\n  7 [size=\"75261440\", alpha=\"0.20\", expect_size=\"30104576\"] \n  7 -> 47 [size =\"30104576\"]\n  8 [size=\"95144960\", alpha=\"0.10\", expect_size=\"38057984\"] \n  8 -> 48 [size =\"38057984\"]\n  9 [size=\"37711360\", alpha=\"0.16\", expect_size=\"15084544\"] \n  9 -> 47 [size =\"15084544\"]\n  9 -> 48 [size =\"15084544\"]\n  9 -> 50 [size =\"15084544\"]\n  10 [size=\"87759360\", alpha=\"0.13\", expect_size=\"35103744\"] \n  10 -> 49 [size =\"35103744\"]\n  11 [size=\"97070080\", alpha=\"0.06\", expect_size=\"38828032\"] \n  12 [size=\"123356160\", alpha=\"0.02\", expect_size=\"49342464\"] \n  12 -> 48 [size =\"49342464\"]\n  13 [size=\"47260160\", alpha=\"0.02\", expect_size=\"18904064\"] \n  13 -> 48 [size =\"18904064\"]\n  14 [size=\"89720320\", alpha=\"0.04\", expect_size=\"35888128\"] \n  14 -> 46 [size =\"35888128\"]\n  14 -> 47 [size =\"35888128\"]\n  14 -> 50 [size =\"35888128\"]\n  15 [size=\"23339520\", alpha=\"0.07\", expect_size=\"9335808\"] \n  15 -> 46 [size =\"9335808\"]\n  15 -> 50 [size =\"9335808\"]\n  15 -> 50 [size =\"9335808\"]\n  16 [size=\"72289280\", alpha=\"0.00\", expect_size=\"28915712\"] \n  16 -> 48 [size =\"28915712\"]\n  16 -> 49 [size =\"28915712\"]\n  16 -> 50 [size =\"28915712\"]\n  17 [size=\"103334400\", alpha=\"0.05\", expect_size=\"41333760\"] \n  17 -> 46 [size =\"41333760\"]\n  17 -> 50 [size =\"41333760\"]\n  18 [size=\"102661120\", alpha=\"0.08\", expect_size=\"41064448\"] \n  18 -> 48 [size =\"41064448\"]\n  18 -> 50 [size =\"41064448\"]\n  19 [size=\"41725440\", alpha=\"0.13\", expect_size=\"16690176\"] \n  19 -> 48 [size =\"16690176\"]\n  20 [size=\"15406080\", alpha=\"0.10\", expect_size=\"6162432\"] \n  20 -> 47 [size =\"6162432\"]\n  20 -> 49 [size =\"6162432\"]\n  21 [size=\"93688320\", alpha=\"0.12\", expect_size=\"37475328\"] \n  22 [size=\"126561280\", alpha=\"0.11\", expect_size=\"50624512\"] \n  22 -> 48 [size =\"50624512\"]\n  22 -> 50 [size =\"50624512\"]\n  23 [size=\"19279360\", alpha=\"0.16\", expect_size=\"7711744\"] \n  23 -> 47 [size =\"7711744\"]\n  23 -> 50 [size =\"7711744\"]\n  24 [size=\"28213760\", alpha=\"0.19\", expect_size=\"11285504\"] \n  24 -> 47 [size =\"11285504\"]\n  25 [size=\"49523200\", alpha=\"0.09\", expect_size=\"19809280\"] \n  25 -> 46 [size =\"19809280\"]\n  25 -> 50 [size =\"19809280\"]\n  26 [size=\"92211200\", alpha=\"0.12\", expect_size=\"36884480\"] \n  26 -> 50 [size =\"36884480\"]\n  27 [size=\"92933120\", alpha=\"0.06\", expect_size=\"37173248\"] \n  27 -> 47 [size =\"37173248\"]\n  27 -> 50 [size =\"37173248\"]\n  28 [size=\"123950080\", alpha=\"0.14\", expect_size=\"49580032\"] \n  28 -> 47 [size =\"49580032\"]\n  28 -> 50 [size =\"49580032\"]\n  29 [size=\"54248960\", alpha=\"0.06\", expect_size=\"21699584\"] \n  29 -> 48 [size =\"21699584\"]\n  29 -> 50 [size =\"21699584\"]\n  30 [size=\"128222720\", alpha=\"0.11\", expect_size=\"51289088\"] \n  30 -> 50 [size =\"51289088\"]\n  31 [size=\"71953920\", alpha=\"0.10\", expect_size=\"28781568\"] \n  31 -> 46 [size =\"28781568\"]\n  31 -> 48 [size =\"28781568\"]\n  31 -> 50 [size =\"28781568\"]\n  32 [size=\"26063360\", alpha=\"0.08\", expect_size=\"10425344\"] \n  32 -> 47 [size =\"10425344\"]\n  32 -> 50 [size =\"10425344\"]\n  33 [size=\"92894720\", alpha=\"0.11\", expect_size=\"37157888\"] \n  33 -> 47 [size =\"37157888\"]\n  34 [size=\"70494720\", alpha=\"0.08\", expect_size=\"28197888\"] \n  34 -> 48 [size =\"28197888\"]\n  34 -> 49 [size =\"28197888\"]\n  35 [size=\"66649600\", alpha=\"0.06\", expect_size=\"26659840\"] \n  35 -> 48 [size =\"26659840\"]\n  36 [size=\"119621120\", alpha=\"0.14\", expect_size=\"47848448\"] \n  36 -> 47 [size =\"47848448\"]\n  36 -> 48 [size =\"47848448\"]\n  37 [size=\"75097600\", alpha=\"0.18\", expect_size=\"30039040\"] \n  37 -> 47 [size =\"30039040\"]\n  37 -> 50 [size =\"30039040\"]\n  38 [size=\"113198080\", alpha=\"0.16\", expect_size=\"45279232\"] \n  38 -> 48 [size =\"45279232\"]\n  39 [size=\"80033280\", alpha=\"0.20\", expect_size=\"32013312\"] \n  39 -> 47 [size =\"32013312\"]\n  40 [size=\"118169600\", alpha=\"0.04\", expect_size=\"47267840\"] \n  41 [size=\"66337280\", alpha=\"0.02\", expect_size=\"26534912\"] \n  41 -> 46 [size =\"26534912\"]\n  41 -> 47 [size =\"26534912\"]\n  42 [size=\"126458880\", alpha=\"0.18\", expect_size=\"50583552\"] \n  42 -> 48 [size =\"50583552\"]\n  43 [size=\"54894080\", alpha=\"0.16\", expect_size=\"21957632\"] \n  43 -> 47 [size =\"21957632\"]\n  43 -> 48 [size =\"21957632\"]\n  44 [size=\"121728000\", alpha=\"0.17\", expect_size=\"48691200\"] \n  44 -> 47 [size =\"48691200\"]\n  44 -> 48 [size =\"48691200\"]\n  44 -> 50 [size =\"48691200\"]\n  45 [size=\"49676800\", alpha=\"0.03\", expect_size=\"19870720\"] \n  45 -> 48 [size =\"19870720\"]\n  45 -> 50 [size =\"19870720\"]\n  46 [size=\"84907520\", alpha=\"0.03\", expect_size=\"33963008\"] \n  47 [size=\"50670080\", alpha=\"0.17\", expect_size=\"20268032\"] \n  48 [size=\"37196800\", alpha=\"0.09\", expect_size=\"14878720\"] \n  49 [size=\"16079360\", alpha=\"0.09\", expect_size=\"6431744\"] \n  50 [size=\"15933440\", alpha=\"0.08\", expect_size=\"6373376\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.957.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107184640\", alpha=\"0.02\", expect_size=\"42873856\"] \n  1 -> 31 [size =\"42873856\"]\n  1 -> 39 [size =\"42873856\"]\n  1 -> 41 [size =\"42873856\"]\n  1 -> 43 [size =\"42873856\"]\n  1 -> 45 [size =\"42873856\"]\n  1 -> 46 [size =\"42873856\"]\n  2 [size=\"49594880\", alpha=\"0.09\", expect_size=\"19837952\"] \n  2 -> 31 [size =\"19837952\"]\n  2 -> 35 [size =\"19837952\"]\n  2 -> 40 [size =\"19837952\"]\n  2 -> 50 [size =\"19837952\"]\n  3 [size=\"119162880\", alpha=\"0.18\", expect_size=\"47665152\"] \n  3 -> 36 [size =\"47665152\"]\n  3 -> 39 [size =\"47665152\"]\n  3 -> 40 [size =\"47665152\"]\n  3 -> 43 [size =\"47665152\"]\n  3 -> 44 [size =\"47665152\"]\n  4 [size=\"41118720\", alpha=\"0.11\", expect_size=\"16447488\"] \n  4 -> 31 [size =\"16447488\"]\n  4 -> 35 [size =\"16447488\"]\n  4 -> 39 [size =\"16447488\"]\n  4 -> 43 [size =\"16447488\"]\n  4 -> 46 [size =\"16447488\"]\n  4 -> 47 [size =\"16447488\"]\n  5 [size=\"49364480\", alpha=\"0.16\", expect_size=\"19745792\"] \n  5 -> 31 [size =\"19745792\"]\n  5 -> 32 [size =\"19745792\"]\n  5 -> 35 [size =\"19745792\"]\n  5 -> 40 [size =\"19745792\"]\n  5 -> 47 [size =\"19745792\"]\n  5 -> 50 [size =\"19745792\"]\n  6 [size=\"39075840\", alpha=\"0.02\", expect_size=\"15630336\"] \n  6 -> 31 [size =\"15630336\"]\n  6 -> 32 [size =\"15630336\"]\n  6 -> 33 [size =\"15630336\"]\n  6 -> 35 [size =\"15630336\"]\n  6 -> 37 [size =\"15630336\"]\n  6 -> 39 [size =\"15630336\"]\n  6 -> 40 [size =\"15630336\"]\n  6 -> 42 [size =\"15630336\"]\n  6 -> 46 [size =\"15630336\"]\n  6 -> 50 [size =\"15630336\"]\n  7 [size=\"33303040\", alpha=\"0.18\", expect_size=\"13321216\"] \n  7 -> 31 [size =\"13321216\"]\n  7 -> 35 [size =\"13321216\"]\n  7 -> 39 [size =\"13321216\"]\n  7 -> 40 [size =\"13321216\"]\n  7 -> 41 [size =\"13321216\"]\n  7 -> 44 [size =\"13321216\"]\n  7 -> 49 [size =\"13321216\"]\n  7 -> 50 [size =\"13321216\"]\n  8 [size=\"64670720\", alpha=\"0.09\", expect_size=\"25868288\"] \n  8 -> 31 [size =\"25868288\"]\n  8 -> 34 [size =\"25868288\"]\n  8 -> 35 [size =\"25868288\"]\n  8 -> 39 [size =\"25868288\"]\n  8 -> 40 [size =\"25868288\"]\n  8 -> 41 [size =\"25868288\"]\n  8 -> 44 [size =\"25868288\"]\n  8 -> 50 [size =\"25868288\"]\n  9 [size=\"28131840\", alpha=\"0.19\", expect_size=\"11252736\"] \n  9 -> 31 [size =\"11252736\"]\n  9 -> 35 [size =\"11252736\"]\n  9 -> 43 [size =\"11252736\"]\n  9 -> 44 [size =\"11252736\"]\n  9 -> 46 [size =\"11252736\"]\n  9 -> 47 [size =\"11252736\"]\n  9 -> 50 [size =\"11252736\"]\n  10 [size=\"43735040\", alpha=\"0.01\", expect_size=\"17494016\"] \n  10 -> 32 [size =\"17494016\"]\n  10 -> 33 [size =\"17494016\"]\n  10 -> 50 [size =\"17494016\"]\n  11 [size=\"32527360\", alpha=\"0.17\", expect_size=\"13010944\"] \n  11 -> 31 [size =\"13010944\"]\n  11 -> 33 [size =\"13010944\"]\n  11 -> 35 [size =\"13010944\"]\n  11 -> 39 [size =\"13010944\"]\n  11 -> 40 [size =\"13010944\"]\n  11 -> 41 [size =\"13010944\"]\n  11 -> 44 [size =\"13010944\"]\n  11 -> 46 [size =\"13010944\"]\n  11 -> 50 [size =\"13010944\"]\n  12 [size=\"43240960\", alpha=\"0.17\", expect_size=\"17296384\"] \n  12 -> 31 [size =\"17296384\"]\n  12 -> 33 [size =\"17296384\"]\n  12 -> 35 [size =\"17296384\"]\n  12 -> 37 [size =\"17296384\"]\n  12 -> 40 [size =\"17296384\"]\n  12 -> 41 [size =\"17296384\"]\n  12 -> 44 [size =\"17296384\"]\n  12 -> 45 [size =\"17296384\"]\n  12 -> 46 [size =\"17296384\"]\n  12 -> 48 [size =\"17296384\"]\n  12 -> 50 [size =\"17296384\"]\n  13 [size=\"95736320\", alpha=\"0.00\", expect_size=\"38294528\"] \n  13 -> 31 [size =\"38294528\"]\n  13 -> 32 [size =\"38294528\"]\n  13 -> 35 [size =\"38294528\"]\n  13 -> 40 [size =\"38294528\"]\n  13 -> 41 [size =\"38294528\"]\n  13 -> 43 [size =\"38294528\"]\n  13 -> 46 [size =\"38294528\"]\n  14 [size=\"81469440\", alpha=\"0.19\", expect_size=\"32587776\"] \n  14 -> 35 [size =\"32587776\"]\n  14 -> 41 [size =\"32587776\"]\n  14 -> 45 [size =\"32587776\"]\n  14 -> 46 [size =\"32587776\"]\n  15 [size=\"27353600\", alpha=\"0.11\", expect_size=\"10941440\"] \n  15 -> 31 [size =\"10941440\"]\n  15 -> 33 [size =\"10941440\"]\n  15 -> 35 [size =\"10941440\"]\n  15 -> 38 [size =\"10941440\"]\n  15 -> 39 [size =\"10941440\"]\n  15 -> 41 [size =\"10941440\"]\n  15 -> 44 [size =\"10941440\"]\n  15 -> 45 [size =\"10941440\"]\n  15 -> 49 [size =\"10941440\"]\n  16 [size=\"119232000\", alpha=\"0.11\", expect_size=\"47692800\"] \n  16 -> 32 [size =\"47692800\"]\n  16 -> 35 [size =\"47692800\"]\n  16 -> 35 [size =\"47692800\"]\n  16 -> 41 [size =\"47692800\"]\n  16 -> 44 [size =\"47692800\"]\n  16 -> 48 [size =\"47692800\"]\n  16 -> 49 [size =\"47692800\"]\n  16 -> 50 [size =\"47692800\"]\n  17 [size=\"129610240\", alpha=\"0.19\", expect_size=\"51844096\"] \n  17 -> 32 [size =\"51844096\"]\n  17 -> 35 [size =\"51844096\"]\n  17 -> 37 [size =\"51844096\"]\n  17 -> 39 [size =\"51844096\"]\n  17 -> 47 [size =\"51844096\"]\n  18 [size=\"117995520\", alpha=\"0.11\", expect_size=\"47198208\"] \n  18 -> 32 [size =\"47198208\"]\n  18 -> 33 [size =\"47198208\"]\n  18 -> 35 [size =\"47198208\"]\n  18 -> 37 [size =\"47198208\"]\n  18 -> 38 [size =\"47198208\"]\n  19 [size=\"52444160\", alpha=\"0.03\", expect_size=\"20977664\"] \n  19 -> 31 [size =\"20977664\"]\n  19 -> 32 [size =\"20977664\"]\n  19 -> 35 [size =\"20977664\"]\n  19 -> 38 [size =\"20977664\"]\n  19 -> 39 [size =\"20977664\"]\n  19 -> 46 [size =\"20977664\"]\n  20 [size=\"48314880\", alpha=\"0.06\", expect_size=\"19325952\"] \n  20 -> 31 [size =\"19325952\"]\n  20 -> 32 [size =\"19325952\"]\n  20 -> 40 [size =\"19325952\"]\n  20 -> 43 [size =\"19325952\"]\n  20 -> 44 [size =\"19325952\"]\n  20 -> 46 [size =\"19325952\"]\n  20 -> 48 [size =\"19325952\"]\n  20 -> 50 [size =\"19325952\"]\n  21 [size=\"56496640\", alpha=\"0.04\", expect_size=\"22598656\"] \n  21 -> 32 [size =\"22598656\"]\n  21 -> 32 [size =\"22598656\"]\n  21 -> 40 [size =\"22598656\"]\n  21 -> 44 [size =\"22598656\"]\n  21 -> 46 [size =\"22598656\"]\n  21 -> 47 [size =\"22598656\"]\n  21 -> 48 [size =\"22598656\"]\n  21 -> 50 [size =\"22598656\"]\n  22 [size=\"35934720\", alpha=\"0.09\", expect_size=\"14373888\"] \n  22 -> 31 [size =\"14373888\"]\n  22 -> 32 [size =\"14373888\"]\n  22 -> 33 [size =\"14373888\"]\n  22 -> 34 [size =\"14373888\"]\n  22 -> 40 [size =\"14373888\"]\n  22 -> 43 [size =\"14373888\"]\n  22 -> 44 [size =\"14373888\"]\n  23 [size=\"19527680\", alpha=\"0.12\", expect_size=\"7811072\"] \n  23 -> 32 [size =\"7811072\"]\n  23 -> 33 [size =\"7811072\"]\n  23 -> 33 [size =\"7811072\"]\n  23 -> 39 [size =\"7811072\"]\n  23 -> 40 [size =\"7811072\"]\n  23 -> 41 [size =\"7811072\"]\n  23 -> 44 [size =\"7811072\"]\n  23 -> 46 [size =\"7811072\"]\n  23 -> 50 [size =\"7811072\"]\n  24 [size=\"21519360\", alpha=\"0.19\", expect_size=\"8607744\"] \n  24 -> 32 [size =\"8607744\"]\n  24 -> 33 [size =\"8607744\"]\n  24 -> 40 [size =\"8607744\"]\n  25 [size=\"130775040\", alpha=\"0.13\", expect_size=\"52310016\"] \n  25 -> 40 [size =\"52310016\"]\n  25 -> 41 [size =\"52310016\"]\n  25 -> 46 [size =\"52310016\"]\n  25 -> 50 [size =\"52310016\"]\n  26 [size=\"75169280\", alpha=\"0.11\", expect_size=\"30067712\"] \n  26 -> 33 [size =\"30067712\"]\n  26 -> 35 [size =\"30067712\"]\n  26 -> 37 [size =\"30067712\"]\n  26 -> 40 [size =\"30067712\"]\n  26 -> 43 [size =\"30067712\"]\n  26 -> 46 [size =\"30067712\"]\n  26 -> 47 [size =\"30067712\"]\n  26 -> 49 [size =\"30067712\"]\n  26 -> 50 [size =\"30067712\"]\n  27 [size=\"23464960\", alpha=\"0.12\", expect_size=\"9385984\"] \n  27 -> 31 [size =\"9385984\"]\n  27 -> 33 [size =\"9385984\"]\n  27 -> 35 [size =\"9385984\"]\n  27 -> 39 [size =\"9385984\"]\n  27 -> 40 [size =\"9385984\"]\n  27 -> 41 [size =\"9385984\"]\n  27 -> 43 [size =\"9385984\"]\n  27 -> 45 [size =\"9385984\"]\n  27 -> 46 [size =\"9385984\"]\n  27 -> 50 [size =\"9385984\"]\n  28 [size=\"15162880\", alpha=\"0.03\", expect_size=\"6065152\"] \n  28 -> 31 [size =\"6065152\"]\n  28 -> 32 [size =\"6065152\"]\n  28 -> 35 [size =\"6065152\"]\n  28 -> 39 [size =\"6065152\"]\n  28 -> 40 [size =\"6065152\"]\n  28 -> 41 [size =\"6065152\"]\n  28 -> 50 [size =\"6065152\"]\n  29 [size=\"78638080\", alpha=\"0.15\", expect_size=\"31455232\"] \n  29 -> 32 [size =\"31455232\"]\n  29 -> 35 [size =\"31455232\"]\n  29 -> 39 [size =\"31455232\"]\n  29 -> 40 [size =\"31455232\"]\n  29 -> 41 [size =\"31455232\"]\n  29 -> 43 [size =\"31455232\"]\n  29 -> 50 [size =\"31455232\"]\n  30 [size=\"96373760\", alpha=\"0.13\", expect_size=\"38549504\"] \n  30 -> 31 [size =\"38549504\"]\n  30 -> 39 [size =\"38549504\"]\n  30 -> 46 [size =\"38549504\"]\n  30 -> 49 [size =\"38549504\"]\n  30 -> 50 [size =\"38549504\"]\n  31 [size=\"129630720\", alpha=\"0.15\", expect_size=\"51852288\"] \n  32 [size=\"36556800\", alpha=\"0.01\", expect_size=\"14622720\"] \n  33 [size=\"89569280\", alpha=\"0.01\", expect_size=\"35827712\"] \n  34 [size=\"40829440\", alpha=\"0.13\", expect_size=\"16331776\"] \n  35 [size=\"36318720\", alpha=\"0.08\", expect_size=\"14527488\"] \n  36 [size=\"112291840\", alpha=\"0.00\", expect_size=\"44916736\"] \n  37 [size=\"58787840\", alpha=\"0.12\", expect_size=\"23515136\"] \n  38 [size=\"13972480\", alpha=\"0.02\", expect_size=\"5588992\"] \n  39 [size=\"29404160\", alpha=\"0.19\", expect_size=\"11761664\"] \n  40 [size=\"120115200\", alpha=\"0.01\", expect_size=\"48046080\"] \n  41 [size=\"80801280\", alpha=\"0.11\", expect_size=\"32320512\"] \n  42 [size=\"48849920\", alpha=\"0.05\", expect_size=\"19539968\"] \n  43 [size=\"54394880\", alpha=\"0.20\", expect_size=\"21757952\"] \n  44 [size=\"62105600\", alpha=\"0.16\", expect_size=\"24842240\"] \n  45 [size=\"22376960\", alpha=\"0.12\", expect_size=\"8950784\"] \n  46 [size=\"67425280\", alpha=\"0.19\", expect_size=\"26970112\"] \n  47 [size=\"67445760\", alpha=\"0.07\", expect_size=\"26978304\"] \n  48 [size=\"20976640\", alpha=\"0.16\", expect_size=\"8390656\"] \n  49 [size=\"32913920\", alpha=\"0.16\", expect_size=\"13165568\"] \n  50 [size=\"24627200\", alpha=\"0.10\", expect_size=\"9850880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.958.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94859264\", alpha=\"0.09\", expect_size=\"47429632\"] \n  1 -> 44 [size =\"47429632\"]\n  1 -> 47 [size =\"47429632\"]\n  1 -> 48 [size =\"47429632\"]\n  1 -> 49 [size =\"47429632\"]\n  2 [size=\"33191936\", alpha=\"0.10\", expect_size=\"16595968\"] \n  2 -> 44 [size =\"16595968\"]\n  2 -> 47 [size =\"16595968\"]\n  2 -> 48 [size =\"16595968\"]\n  2 -> 49 [size =\"16595968\"]\n  2 -> 50 [size =\"16595968\"]\n  3 [size=\"104650752\", alpha=\"0.18\", expect_size=\"52325376\"] \n  3 -> 44 [size =\"52325376\"]\n  3 -> 47 [size =\"52325376\"]\n  3 -> 50 [size =\"52325376\"]\n  4 [size=\"62089216\", alpha=\"0.13\", expect_size=\"31044608\"] \n  4 -> 44 [size =\"31044608\"]\n  4 -> 46 [size =\"31044608\"]\n  4 -> 47 [size =\"31044608\"]\n  4 -> 48 [size =\"31044608\"]\n  4 -> 49 [size =\"31044608\"]\n  5 [size=\"36294656\", alpha=\"0.02\", expect_size=\"18147328\"] \n  5 -> 50 [size =\"18147328\"]\n  6 [size=\"79235072\", alpha=\"0.08\", expect_size=\"39617536\"] \n  6 -> 44 [size =\"39617536\"]\n  6 -> 47 [size =\"39617536\"]\n  6 -> 48 [size =\"39617536\"]\n  7 [size=\"38047744\", alpha=\"0.16\", expect_size=\"19023872\"] \n  7 -> 46 [size =\"19023872\"]\n  7 -> 49 [size =\"19023872\"]\n  8 [size=\"24750080\", alpha=\"0.17\", expect_size=\"12375040\"] \n  8 -> 44 [size =\"12375040\"]\n  8 -> 46 [size =\"12375040\"]\n  8 -> 47 [size =\"12375040\"]\n  8 -> 48 [size =\"12375040\"]\n  8 -> 49 [size =\"12375040\"]\n  8 -> 50 [size =\"12375040\"]\n  9 [size=\"58949632\", alpha=\"0.02\", expect_size=\"29474816\"] \n  9 -> 47 [size =\"29474816\"]\n  9 -> 49 [size =\"29474816\"]\n  9 -> 50 [size =\"29474816\"]\n  10 [size=\"90494976\", alpha=\"0.19\", expect_size=\"45247488\"] \n  10 -> 46 [size =\"45247488\"]\n  10 -> 47 [size =\"45247488\"]\n  10 -> 49 [size =\"45247488\"]\n  10 -> 50 [size =\"45247488\"]\n  11 [size=\"17244160\", alpha=\"0.16\", expect_size=\"8622080\"] \n  11 -> 45 [size =\"8622080\"]\n  11 -> 46 [size =\"8622080\"]\n  11 -> 47 [size =\"8622080\"]\n  11 -> 49 [size =\"8622080\"]\n  11 -> 50 [size =\"8622080\"]\n  12 [size=\"59727872\", alpha=\"0.11\", expect_size=\"29863936\"] \n  12 -> 44 [size =\"29863936\"]\n  12 -> 45 [size =\"29863936\"]\n  12 -> 46 [size =\"29863936\"]\n  12 -> 48 [size =\"29863936\"]\n  12 -> 50 [size =\"29863936\"]\n  13 [size=\"14868480\", alpha=\"0.07\", expect_size=\"7434240\"] \n  13 -> 44 [size =\"7434240\"]\n  13 -> 45 [size =\"7434240\"]\n  14 [size=\"98441216\", alpha=\"0.11\", expect_size=\"49220608\"] \n  14 -> 47 [size =\"49220608\"]\n  15 [size=\"63520768\", alpha=\"0.11\", expect_size=\"31760384\"] \n  15 -> 44 [size =\"31760384\"]\n  15 -> 47 [size =\"31760384\"]\n  15 -> 50 [size =\"31760384\"]\n  16 [size=\"75251712\", alpha=\"0.09\", expect_size=\"37625856\"] \n  16 -> 46 [size =\"37625856\"]\n  16 -> 47 [size =\"37625856\"]\n  17 [size=\"17719296\", alpha=\"0.08\", expect_size=\"8859648\"] \n  17 -> 45 [size =\"8859648\"]\n  17 -> 47 [size =\"8859648\"]\n  18 [size=\"91488256\", alpha=\"0.09\", expect_size=\"45744128\"] \n  18 -> 48 [size =\"45744128\"]\n  18 -> 49 [size =\"45744128\"]\n  19 [size=\"79437824\", alpha=\"0.08\", expect_size=\"39718912\"] \n  19 -> 45 [size =\"39718912\"]\n  19 -> 46 [size =\"39718912\"]\n  20 [size=\"90128384\", alpha=\"0.15\", expect_size=\"45064192\"] \n  20 -> 47 [size =\"45064192\"]\n  20 -> 49 [size =\"45064192\"]\n  21 [size=\"83230720\", alpha=\"0.19\", expect_size=\"41615360\"] \n  21 -> 45 [size =\"41615360\"]\n  21 -> 46 [size =\"41615360\"]\n  21 -> 49 [size =\"41615360\"]\n  22 [size=\"65720320\", alpha=\"0.08\", expect_size=\"32860160\"] \n  22 -> 44 [size =\"32860160\"]\n  22 -> 48 [size =\"32860160\"]\n  22 -> 49 [size =\"32860160\"]\n  23 [size=\"24279040\", alpha=\"0.17\", expect_size=\"12139520\"] \n  23 -> 44 [size =\"12139520\"]\n  23 -> 48 [size =\"12139520\"]\n  23 -> 49 [size =\"12139520\"]\n  24 [size=\"59500544\", alpha=\"0.17\", expect_size=\"29750272\"] \n  24 -> 48 [size =\"29750272\"]\n  24 -> 48 [size =\"29750272\"]\n  24 -> 49 [size =\"29750272\"]\n  25 [size=\"18870272\", alpha=\"0.02\", expect_size=\"9435136\"] \n  25 -> 45 [size =\"9435136\"]\n  25 -> 49 [size =\"9435136\"]\n  25 -> 49 [size =\"9435136\"]\n  26 [size=\"72902656\", alpha=\"0.02\", expect_size=\"36451328\"] \n  26 -> 45 [size =\"36451328\"]\n  26 -> 46 [size =\"36451328\"]\n  26 -> 47 [size =\"36451328\"]\n  27 [size=\"22857728\", alpha=\"0.08\", expect_size=\"11428864\"] \n  27 -> 44 [size =\"11428864\"]\n  27 -> 45 [size =\"11428864\"]\n  27 -> 48 [size =\"11428864\"]\n  27 -> 49 [size =\"11428864\"]\n  27 -> 50 [size =\"11428864\"]\n  28 [size=\"62447616\", alpha=\"0.17\", expect_size=\"31223808\"] \n  28 -> 47 [size =\"31223808\"]\n  28 -> 49 [size =\"31223808\"]\n  29 [size=\"11048960\", alpha=\"0.16\", expect_size=\"5524480\"] \n  29 -> 48 [size =\"5524480\"]\n  29 -> 49 [size =\"5524480\"]\n  30 [size=\"50757632\", alpha=\"0.12\", expect_size=\"25378816\"] \n  30 -> 48 [size =\"25378816\"]\n  30 -> 49 [size =\"25378816\"]\n  31 [size=\"26140672\", alpha=\"0.10\", expect_size=\"13070336\"] \n  31 -> 44 [size =\"13070336\"]\n  31 -> 50 [size =\"13070336\"]\n  32 [size=\"21573632\", alpha=\"0.18\", expect_size=\"10786816\"] \n  32 -> 44 [size =\"10786816\"]\n  32 -> 45 [size =\"10786816\"]\n  32 -> 50 [size =\"10786816\"]\n  33 [size=\"59766784\", alpha=\"0.07\", expect_size=\"29883392\"] \n  33 -> 44 [size =\"29883392\"]\n  33 -> 46 [size =\"29883392\"]\n  33 -> 47 [size =\"29883392\"]\n  33 -> 50 [size =\"29883392\"]\n  34 [size=\"46139392\", alpha=\"0.14\", expect_size=\"23069696\"] \n  34 -> 44 [size =\"23069696\"]\n  34 -> 45 [size =\"23069696\"]\n  35 [size=\"32296960\", alpha=\"0.13\", expect_size=\"16148480\"] \n  35 -> 46 [size =\"16148480\"]\n  35 -> 47 [size =\"16148480\"]\n  35 -> 48 [size =\"16148480\"]\n  35 -> 50 [size =\"16148480\"]\n  36 [size=\"44050432\", alpha=\"0.06\", expect_size=\"22025216\"] \n  36 -> 45 [size =\"22025216\"]\n  36 -> 47 [size =\"22025216\"]\n  37 [size=\"55775232\", alpha=\"0.20\", expect_size=\"27887616\"] \n  37 -> 44 [size =\"27887616\"]\n  37 -> 46 [size =\"27887616\"]\n  37 -> 47 [size =\"27887616\"]\n  37 -> 49 [size =\"27887616\"]\n  38 [size=\"95035392\", alpha=\"0.11\", expect_size=\"47517696\"] \n  38 -> 44 [size =\"47517696\"]\n  38 -> 45 [size =\"47517696\"]\n  38 -> 46 [size =\"47517696\"]\n  38 -> 47 [size =\"47517696\"]\n  38 -> 48 [size =\"47517696\"]\n  38 -> 49 [size =\"47517696\"]\n  39 [size=\"81727488\", alpha=\"0.17\", expect_size=\"40863744\"] \n  39 -> 47 [size =\"40863744\"]\n  39 -> 49 [size =\"40863744\"]\n  39 -> 50 [size =\"40863744\"]\n  40 [size=\"64313344\", alpha=\"0.19\", expect_size=\"32156672\"] \n  40 -> 46 [size =\"32156672\"]\n  40 -> 47 [size =\"32156672\"]\n  40 -> 49 [size =\"32156672\"]\n  40 -> 50 [size =\"32156672\"]\n  41 [size=\"28430336\", alpha=\"0.17\", expect_size=\"14215168\"] \n  41 -> 44 [size =\"14215168\"]\n  41 -> 47 [size =\"14215168\"]\n  41 -> 49 [size =\"14215168\"]\n  41 -> 50 [size =\"14215168\"]\n  42 [size=\"75210752\", alpha=\"0.07\", expect_size=\"37605376\"] \n  42 -> 44 [size =\"37605376\"]\n  42 -> 47 [size =\"37605376\"]\n  42 -> 49 [size =\"37605376\"]\n  42 -> 50 [size =\"37605376\"]\n  43 [size=\"65155072\", alpha=\"0.20\", expect_size=\"32577536\"] \n  43 -> 44 [size =\"32577536\"]\n  43 -> 47 [size =\"32577536\"]\n  43 -> 49 [size =\"32577536\"]\n  43 -> 50 [size =\"32577536\"]\n  44 [size=\"97017856\", alpha=\"0.03\", expect_size=\"48508928\"] \n  45 [size=\"70014976\", alpha=\"0.08\", expect_size=\"35007488\"] \n  46 [size=\"37179392\", alpha=\"0.06\", expect_size=\"18589696\"] \n  47 [size=\"63281152\", alpha=\"0.07\", expect_size=\"31640576\"] \n  48 [size=\"61179904\", alpha=\"0.18\", expect_size=\"30589952\"] \n  49 [size=\"17510400\", alpha=\"0.10\", expect_size=\"8755200\"] \n  50 [size=\"95596544\", alpha=\"0.11\", expect_size=\"47798272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.959.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56332800\", alpha=\"0.03\", expect_size=\"22533120\"] \n  1 -> 2 [size =\"22533120\"]\n  2 [size=\"20910080\", alpha=\"0.13\", expect_size=\"8364032\"] \n  2 -> 3 [size =\"8364032\"]\n  3 [size=\"120683520\", alpha=\"0.11\", expect_size=\"48273408\"] \n  3 -> 4 [size =\"48273408\"]\n  4 [size=\"40015360\", alpha=\"0.02\", expect_size=\"16006144\"] \n  4 -> 5 [size =\"16006144\"]\n  5 [size=\"81315840\", alpha=\"0.04\", expect_size=\"32526336\"] \n  5 -> 6 [size =\"32526336\"]\n  6 [size=\"67417600\", alpha=\"0.09\", expect_size=\"26967040\"] \n  6 -> 7 [size =\"26967040\"]\n  7 [size=\"109404160\", alpha=\"0.17\", expect_size=\"43761664\"] \n  7 -> 8 [size =\"43761664\"]\n  8 [size=\"91002880\", alpha=\"0.12\", expect_size=\"36401152\"] \n  8 -> 9 [size =\"36401152\"]\n  9 [size=\"73395200\", alpha=\"0.13\", expect_size=\"29358080\"] \n  9 -> 10 [size =\"29358080\"]\n  10 [size=\"47749120\", alpha=\"0.19\", expect_size=\"19099648\"] \n  10 -> 11 [size =\"19099648\"]\n  11 [size=\"115919360\", alpha=\"0.04\", expect_size=\"46367744\"] \n  11 -> 12 [size =\"46367744\"]\n  12 [size=\"15695360\", alpha=\"0.07\", expect_size=\"6278144\"] \n  12 -> 13 [size =\"6278144\"]\n  13 [size=\"93872640\", alpha=\"0.09\", expect_size=\"37549056\"] \n  13 -> 14 [size =\"37549056\"]\n  14 [size=\"39608320\", alpha=\"0.01\", expect_size=\"15843328\"] \n  14 -> 15 [size =\"15843328\"]\n  15 [size=\"53250560\", alpha=\"0.05\", expect_size=\"21300224\"] \n  15 -> 16 [size =\"21300224\"]\n  16 [size=\"76336640\", alpha=\"0.05\", expect_size=\"30534656\"] \n  16 -> 17 [size =\"30534656\"]\n  17 [size=\"13109760\", alpha=\"0.06\", expect_size=\"5243904\"] \n  17 -> 18 [size =\"5243904\"]\n  18 [size=\"113177600\", alpha=\"0.05\", expect_size=\"45271040\"] \n  18 -> 19 [size =\"45271040\"]\n  19 [size=\"67356160\", alpha=\"0.06\", expect_size=\"26942464\"] \n  19 -> 20 [size =\"26942464\"]\n  20 [size=\"25067520\", alpha=\"0.11\", expect_size=\"10027008\"] \n  20 -> 21 [size =\"10027008\"]\n  21 [size=\"18019840\", alpha=\"0.02\", expect_size=\"7207936\"] \n  21 -> 22 [size =\"7207936\"]\n  22 [size=\"40386560\", alpha=\"0.15\", expect_size=\"16154624\"] \n  22 -> 23 [size =\"16154624\"]\n  23 [size=\"81505280\", alpha=\"0.07\", expect_size=\"32602112\"] \n  23 -> 24 [size =\"32602112\"]\n  24 [size=\"17761280\", alpha=\"0.03\", expect_size=\"7104512\"] \n  24 -> 25 [size =\"7104512\"]\n  25 [size=\"25843200\", alpha=\"0.10\", expect_size=\"10337280\"] \n  25 -> 26 [size =\"10337280\"]\n  26 [size=\"52851200\", alpha=\"0.07\", expect_size=\"21140480\"] \n  26 -> 27 [size =\"21140480\"]\n  27 [size=\"83957760\", alpha=\"0.20\", expect_size=\"33583104\"] \n  27 -> 28 [size =\"33583104\"]\n  28 [size=\"118481920\", alpha=\"0.06\", expect_size=\"47392768\"] \n  28 -> 29 [size =\"47392768\"]\n  29 [size=\"27248640\", alpha=\"0.02\", expect_size=\"10899456\"] \n  29 -> 30 [size =\"10899456\"]\n  30 [size=\"63383040\", alpha=\"0.05\", expect_size=\"25353216\"] \n  30 -> 31 [size =\"25353216\"]\n  31 [size=\"125672960\", alpha=\"0.04\", expect_size=\"50269184\"] \n  31 -> 32 [size =\"50269184\"]\n  32 [size=\"21416960\", alpha=\"0.05\", expect_size=\"8566784\"] \n  32 -> 33 [size =\"8566784\"]\n  33 [size=\"112314880\", alpha=\"0.18\", expect_size=\"44925952\"] \n  33 -> 34 [size =\"44925952\"]\n  34 [size=\"34086400\", alpha=\"0.17\", expect_size=\"13634560\"] \n  34 -> 35 [size =\"13634560\"]\n  35 [size=\"49569280\", alpha=\"0.02\", expect_size=\"19827712\"] \n  35 -> 36 [size =\"19827712\"]\n  36 [size=\"109009920\", alpha=\"0.18\", expect_size=\"43603968\"] \n  36 -> 37 [size =\"43603968\"]\n  37 [size=\"30789120\", alpha=\"0.14\", expect_size=\"12315648\"] \n  37 -> 38 [size =\"12315648\"]\n  38 [size=\"29171200\", alpha=\"0.06\", expect_size=\"11668480\"] \n  38 -> 39 [size =\"11668480\"]\n  39 [size=\"64087040\", alpha=\"0.08\", expect_size=\"25634816\"] \n  39 -> 40 [size =\"25634816\"]\n  40 [size=\"77864960\", alpha=\"0.13\", expect_size=\"31145984\"] \n  40 -> 41 [size =\"31145984\"]\n  41 [size=\"105144320\", alpha=\"0.17\", expect_size=\"42057728\"] \n  41 -> 42 [size =\"42057728\"]\n  42 [size=\"130775040\", alpha=\"0.07\", expect_size=\"52310016\"] \n  42 -> 43 [size =\"52310016\"]\n  43 [size=\"39383040\", alpha=\"0.08\", expect_size=\"15753216\"] \n  43 -> 44 [size =\"15753216\"]\n  44 [size=\"29696000\", alpha=\"0.10\", expect_size=\"11878400\"] \n  44 -> 45 [size =\"11878400\"]\n  45 [size=\"128217600\", alpha=\"0.14\", expect_size=\"51287040\"] \n  45 -> 46 [size =\"51287040\"]\n  46 [size=\"21196800\", alpha=\"0.05\", expect_size=\"8478720\"] \n  46 -> 47 [size =\"8478720\"]\n  47 [size=\"125760000\", alpha=\"0.08\", expect_size=\"50304000\"] \n  47 -> 48 [size =\"50304000\"]\n  48 [size=\"88017920\", alpha=\"0.08\", expect_size=\"35207168\"] \n  48 -> 49 [size =\"35207168\"]\n  49 [size=\"126005760\", alpha=\"0.11\", expect_size=\"50402304\"] \n  49 -> 50 [size =\"50402304\"]\n  50 [size=\"58042880\", alpha=\"0.03\", expect_size=\"23217152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105484800\", alpha=\"0.10\", expect_size=\"42193920\"] \n  1 -> 12 [size =\"42193920\"]\n  1 -> 13 [size =\"42193920\"]\n  1 -> 19 [size =\"42193920\"]\n  1 -> 21 [size =\"42193920\"]\n  1 -> 22 [size =\"42193920\"]\n  1 -> 23 [size =\"42193920\"]\n  1 -> 24 [size =\"42193920\"]\n  1 -> 25 [size =\"42193920\"]\n  1 -> 27 [size =\"42193920\"]\n  1 -> 28 [size =\"42193920\"]\n  2 [size=\"50048000\", alpha=\"0.09\", expect_size=\"20019200\"] \n  2 -> 9 [size =\"20019200\"]\n  2 -> 10 [size =\"20019200\"]\n  2 -> 13 [size =\"20019200\"]\n  2 -> 16 [size =\"20019200\"]\n  2 -> 17 [size =\"20019200\"]\n  2 -> 19 [size =\"20019200\"]\n  2 -> 21 [size =\"20019200\"]\n  2 -> 23 [size =\"20019200\"]\n  2 -> 27 [size =\"20019200\"]\n  2 -> 28 [size =\"20019200\"]\n  2 -> 29 [size =\"20019200\"]\n  3 [size=\"14679040\", alpha=\"0.10\", expect_size=\"5871616\"] \n  3 -> 10 [size =\"5871616\"]\n  3 -> 10 [size =\"5871616\"]\n  3 -> 12 [size =\"5871616\"]\n  3 -> 13 [size =\"5871616\"]\n  3 -> 17 [size =\"5871616\"]\n  3 -> 18 [size =\"5871616\"]\n  3 -> 19 [size =\"5871616\"]\n  3 -> 21 [size =\"5871616\"]\n  3 -> 23 [size =\"5871616\"]\n  3 -> 24 [size =\"5871616\"]\n  3 -> 27 [size =\"5871616\"]\n  3 -> 28 [size =\"5871616\"]\n  3 -> 29 [size =\"5871616\"]\n  4 [size=\"44769280\", alpha=\"0.08\", expect_size=\"17907712\"] \n  4 -> 9 [size =\"17907712\"]\n  4 -> 11 [size =\"17907712\"]\n  4 -> 12 [size =\"17907712\"]\n  4 -> 14 [size =\"17907712\"]\n  4 -> 17 [size =\"17907712\"]\n  4 -> 18 [size =\"17907712\"]\n  4 -> 19 [size =\"17907712\"]\n  4 -> 20 [size =\"17907712\"]\n  4 -> 21 [size =\"17907712\"]\n  4 -> 22 [size =\"17907712\"]\n  4 -> 23 [size =\"17907712\"]\n  4 -> 24 [size =\"17907712\"]\n  4 -> 28 [size =\"17907712\"]\n  4 -> 29 [size =\"17907712\"]\n  5 [size=\"88061440\", alpha=\"0.03\", expect_size=\"35224576\"] \n  5 -> 12 [size =\"35224576\"]\n  5 -> 14 [size =\"35224576\"]\n  5 -> 17 [size =\"35224576\"]\n  5 -> 19 [size =\"35224576\"]\n  5 -> 20 [size =\"35224576\"]\n  5 -> 21 [size =\"35224576\"]\n  5 -> 23 [size =\"35224576\"]\n  5 -> 24 [size =\"35224576\"]\n  5 -> 26 [size =\"35224576\"]\n  5 -> 28 [size =\"35224576\"]\n  5 -> 29 [size =\"35224576\"]\n  6 [size=\"27299840\", alpha=\"0.10\", expect_size=\"10919936\"] \n  6 -> 10 [size =\"10919936\"]\n  6 -> 12 [size =\"10919936\"]\n  6 -> 13 [size =\"10919936\"]\n  6 -> 14 [size =\"10919936\"]\n  6 -> 15 [size =\"10919936\"]\n  6 -> 16 [size =\"10919936\"]\n  6 -> 17 [size =\"10919936\"]\n  6 -> 18 [size =\"10919936\"]\n  6 -> 20 [size =\"10919936\"]\n  6 -> 21 [size =\"10919936\"]\n  6 -> 22 [size =\"10919936\"]\n  6 -> 23 [size =\"10919936\"]\n  6 -> 24 [size =\"10919936\"]\n  6 -> 25 [size =\"10919936\"]\n  6 -> 28 [size =\"10919936\"]\n  6 -> 29 [size =\"10919936\"]\n  7 [size=\"119680000\", alpha=\"0.17\", expect_size=\"47872000\"] \n  7 -> 11 [size =\"47872000\"]\n  7 -> 12 [size =\"47872000\"]\n  7 -> 14 [size =\"47872000\"]\n  7 -> 16 [size =\"47872000\"]\n  7 -> 17 [size =\"47872000\"]\n  7 -> 20 [size =\"47872000\"]\n  7 -> 21 [size =\"47872000\"]\n  7 -> 24 [size =\"47872000\"]\n  7 -> 25 [size =\"47872000\"]\n  7 -> 27 [size =\"47872000\"]\n  7 -> 28 [size =\"47872000\"]\n  7 -> 29 [size =\"47872000\"]\n  8 [size=\"17441280\", alpha=\"0.11\", expect_size=\"6976512\"] \n  8 -> 9 [size =\"6976512\"]\n  8 -> 12 [size =\"6976512\"]\n  8 -> 14 [size =\"6976512\"]\n  8 -> 16 [size =\"6976512\"]\n  8 -> 17 [size =\"6976512\"]\n  8 -> 21 [size =\"6976512\"]\n  8 -> 23 [size =\"6976512\"]\n  8 -> 26 [size =\"6976512\"]\n  8 -> 27 [size =\"6976512\"]\n  8 -> 28 [size =\"6976512\"]\n  8 -> 29 [size =\"6976512\"]\n  8 -> 29 [size =\"6976512\"]\n  9 [size=\"13665280\", alpha=\"0.14\", expect_size=\"5466112\"] \n  9 -> 31 [size =\"5466112\"]\n  9 -> 32 [size =\"5466112\"]\n  9 -> 34 [size =\"5466112\"]\n  9 -> 36 [size =\"5466112\"]\n  9 -> 37 [size =\"5466112\"]\n  9 -> 39 [size =\"5466112\"]\n  9 -> 40 [size =\"5466112\"]\n  9 -> 42 [size =\"5466112\"]\n  9 -> 47 [size =\"5466112\"]\n  9 -> 48 [size =\"5466112\"]\n  9 -> 49 [size =\"5466112\"]\n  9 -> 50 [size =\"5466112\"]\n  10 [size=\"59571200\", alpha=\"0.12\", expect_size=\"23828480\"] \n  10 -> 31 [size =\"23828480\"]\n  10 -> 33 [size =\"23828480\"]\n  10 -> 37 [size =\"23828480\"]\n  10 -> 39 [size =\"23828480\"]\n  10 -> 42 [size =\"23828480\"]\n  10 -> 43 [size =\"23828480\"]\n  10 -> 47 [size =\"23828480\"]\n  10 -> 48 [size =\"23828480\"]\n  10 -> 49 [size =\"23828480\"]\n  11 [size=\"57886720\", alpha=\"0.10\", expect_size=\"23154688\"] \n  11 -> 31 [size =\"23154688\"]\n  11 -> 35 [size =\"23154688\"]\n  11 -> 36 [size =\"23154688\"]\n  11 -> 39 [size =\"23154688\"]\n  11 -> 42 [size =\"23154688\"]\n  11 -> 46 [size =\"23154688\"]\n  11 -> 48 [size =\"23154688\"]\n  11 -> 49 [size =\"23154688\"]\n  12 [size=\"115724800\", alpha=\"0.11\", expect_size=\"46289920\"] \n  12 -> 31 [size =\"46289920\"]\n  12 -> 36 [size =\"46289920\"]\n  12 -> 38 [size =\"46289920\"]\n  12 -> 40 [size =\"46289920\"]\n  12 -> 41 [size =\"46289920\"]\n  12 -> 42 [size =\"46289920\"]\n  12 -> 47 [size =\"46289920\"]\n  12 -> 48 [size =\"46289920\"]\n  13 [size=\"50035200\", alpha=\"0.10\", expect_size=\"20014080\"] \n  13 -> 31 [size =\"20014080\"]\n  13 -> 32 [size =\"20014080\"]\n  13 -> 38 [size =\"20014080\"]\n  13 -> 39 [size =\"20014080\"]\n  13 -> 40 [size =\"20014080\"]\n  13 -> 42 [size =\"20014080\"]\n  13 -> 43 [size =\"20014080\"]\n  13 -> 45 [size =\"20014080\"]\n  13 -> 47 [size =\"20014080\"]\n  13 -> 48 [size =\"20014080\"]\n  13 -> 50 [size =\"20014080\"]\n  14 [size=\"109089280\", alpha=\"0.07\", expect_size=\"43635712\"] \n  14 -> 35 [size =\"43635712\"]\n  14 -> 37 [size =\"43635712\"]\n  14 -> 38 [size =\"43635712\"]\n  14 -> 40 [size =\"43635712\"]\n  14 -> 43 [size =\"43635712\"]\n  14 -> 45 [size =\"43635712\"]\n  14 -> 49 [size =\"43635712\"]\n  14 -> 50 [size =\"43635712\"]\n  15 [size=\"35438080\", alpha=\"0.17\", expect_size=\"14175232\"] \n  15 -> 31 [size =\"14175232\"]\n  15 -> 36 [size =\"14175232\"]\n  15 -> 38 [size =\"14175232\"]\n  15 -> 40 [size =\"14175232\"]\n  15 -> 42 [size =\"14175232\"]\n  15 -> 43 [size =\"14175232\"]\n  15 -> 45 [size =\"14175232\"]\n  15 -> 48 [size =\"14175232\"]\n  15 -> 50 [size =\"14175232\"]\n  16 [size=\"51799040\", alpha=\"0.06\", expect_size=\"20719616\"] \n  16 -> 30 [size =\"20719616\"]\n  16 -> 31 [size =\"20719616\"]\n  16 -> 37 [size =\"20719616\"]\n  16 -> 38 [size =\"20719616\"]\n  16 -> 40 [size =\"20719616\"]\n  16 -> 42 [size =\"20719616\"]\n  16 -> 43 [size =\"20719616\"]\n  16 -> 45 [size =\"20719616\"]\n  16 -> 46 [size =\"20719616\"]\n  16 -> 50 [size =\"20719616\"]\n  17 [size=\"112458240\", alpha=\"0.11\", expect_size=\"44983296\"] \n  17 -> 31 [size =\"44983296\"]\n  17 -> 34 [size =\"44983296\"]\n  17 -> 36 [size =\"44983296\"]\n  17 -> 37 [size =\"44983296\"]\n  17 -> 38 [size =\"44983296\"]\n  17 -> 39 [size =\"44983296\"]\n  17 -> 40 [size =\"44983296\"]\n  17 -> 41 [size =\"44983296\"]\n  17 -> 42 [size =\"44983296\"]\n  17 -> 43 [size =\"44983296\"]\n  17 -> 44 [size =\"44983296\"]\n  17 -> 45 [size =\"44983296\"]\n  17 -> 46 [size =\"44983296\"]\n  17 -> 47 [size =\"44983296\"]\n  17 -> 49 [size =\"44983296\"]\n  17 -> 50 [size =\"44983296\"]\n  18 [size=\"93667840\", alpha=\"0.19\", expect_size=\"37467136\"] \n  18 -> 30 [size =\"37467136\"]\n  18 -> 36 [size =\"37467136\"]\n  18 -> 38 [size =\"37467136\"]\n  18 -> 39 [size =\"37467136\"]\n  18 -> 40 [size =\"37467136\"]\n  18 -> 41 [size =\"37467136\"]\n  18 -> 42 [size =\"37467136\"]\n  18 -> 46 [size =\"37467136\"]\n  18 -> 47 [size =\"37467136\"]\n  18 -> 48 [size =\"37467136\"]\n  18 -> 50 [size =\"37467136\"]\n  19 [size=\"41630720\", alpha=\"0.11\", expect_size=\"16652288\"] \n  19 -> 30 [size =\"16652288\"]\n  19 -> 31 [size =\"16652288\"]\n  19 -> 36 [size =\"16652288\"]\n  19 -> 37 [size =\"16652288\"]\n  19 -> 38 [size =\"16652288\"]\n  19 -> 39 [size =\"16652288\"]\n  19 -> 40 [size =\"16652288\"]\n  19 -> 41 [size =\"16652288\"]\n  19 -> 42 [size =\"16652288\"]\n  19 -> 43 [size =\"16652288\"]\n  19 -> 45 [size =\"16652288\"]\n  19 -> 47 [size =\"16652288\"]\n  19 -> 48 [size =\"16652288\"]\n  19 -> 50 [size =\"16652288\"]\n  20 [size=\"123658240\", alpha=\"0.05\", expect_size=\"49463296\"] \n  20 -> 31 [size =\"49463296\"]\n  20 -> 32 [size =\"49463296\"]\n  20 -> 38 [size =\"49463296\"]\n  20 -> 40 [size =\"49463296\"]\n  20 -> 43 [size =\"49463296\"]\n  20 -> 47 [size =\"49463296\"]\n  20 -> 48 [size =\"49463296\"]\n  20 -> 49 [size =\"49463296\"]\n  20 -> 50 [size =\"49463296\"]\n  21 [size=\"75983360\", alpha=\"0.15\", expect_size=\"30393344\"] \n  21 -> 30 [size =\"30393344\"]\n  21 -> 31 [size =\"30393344\"]\n  21 -> 36 [size =\"30393344\"]\n  21 -> 38 [size =\"30393344\"]\n  21 -> 40 [size =\"30393344\"]\n  21 -> 42 [size =\"30393344\"]\n  21 -> 43 [size =\"30393344\"]\n  21 -> 45 [size =\"30393344\"]\n  21 -> 48 [size =\"30393344\"]\n  21 -> 49 [size =\"30393344\"]\n  21 -> 50 [size =\"30393344\"]\n  22 [size=\"15393280\", alpha=\"0.11\", expect_size=\"6157312\"] \n  22 -> 30 [size =\"6157312\"]\n  22 -> 34 [size =\"6157312\"]\n  22 -> 35 [size =\"6157312\"]\n  22 -> 36 [size =\"6157312\"]\n  22 -> 38 [size =\"6157312\"]\n  22 -> 40 [size =\"6157312\"]\n  22 -> 41 [size =\"6157312\"]\n  22 -> 43 [size =\"6157312\"]\n  22 -> 47 [size =\"6157312\"]\n  22 -> 48 [size =\"6157312\"]\n  22 -> 49 [size =\"6157312\"]\n  22 -> 50 [size =\"6157312\"]\n  23 [size=\"81873920\", alpha=\"0.07\", expect_size=\"32749568\"] \n  23 -> 30 [size =\"32749568\"]\n  23 -> 36 [size =\"32749568\"]\n  23 -> 38 [size =\"32749568\"]\n  23 -> 39 [size =\"32749568\"]\n  23 -> 40 [size =\"32749568\"]\n  23 -> 40 [size =\"32749568\"]\n  23 -> 43 [size =\"32749568\"]\n  23 -> 48 [size =\"32749568\"]\n  23 -> 49 [size =\"32749568\"]\n  23 -> 50 [size =\"32749568\"]\n  24 [size=\"24849920\", alpha=\"0.09\", expect_size=\"9939968\"] \n  24 -> 30 [size =\"9939968\"]\n  24 -> 31 [size =\"9939968\"]\n  24 -> 36 [size =\"9939968\"]\n  24 -> 38 [size =\"9939968\"]\n  24 -> 39 [size =\"9939968\"]\n  24 -> 40 [size =\"9939968\"]\n  24 -> 41 [size =\"9939968\"]\n  24 -> 42 [size =\"9939968\"]\n  24 -> 43 [size =\"9939968\"]\n  24 -> 45 [size =\"9939968\"]\n  24 -> 48 [size =\"9939968\"]\n  24 -> 49 [size =\"9939968\"]\n  24 -> 50 [size =\"9939968\"]\n  25 [size=\"67916800\", alpha=\"0.03\", expect_size=\"27166720\"] \n  25 -> 30 [size =\"27166720\"]\n  25 -> 31 [size =\"27166720\"]\n  25 -> 36 [size =\"27166720\"]\n  25 -> 38 [size =\"27166720\"]\n  25 -> 39 [size =\"27166720\"]\n  25 -> 40 [size =\"27166720\"]\n  25 -> 42 [size =\"27166720\"]\n  25 -> 43 [size =\"27166720\"]\n  25 -> 43 [size =\"27166720\"]\n  25 -> 45 [size =\"27166720\"]\n  25 -> 47 [size =\"27166720\"]\n  25 -> 48 [size =\"27166720\"]\n  26 [size=\"52876800\", alpha=\"0.00\", expect_size=\"21150720\"] \n  26 -> 31 [size =\"21150720\"]\n  26 -> 32 [size =\"21150720\"]\n  26 -> 36 [size =\"21150720\"]\n  26 -> 39 [size =\"21150720\"]\n  26 -> 39 [size =\"21150720\"]\n  26 -> 40 [size =\"21150720\"]\n  26 -> 42 [size =\"21150720\"]\n  26 -> 43 [size =\"21150720\"]\n  26 -> 49 [size =\"21150720\"]\n  26 -> 50 [size =\"21150720\"]\n  27 [size=\"85944320\", alpha=\"0.15\", expect_size=\"34377728\"] \n  27 -> 32 [size =\"34377728\"]\n  27 -> 33 [size =\"34377728\"]\n  27 -> 34 [size =\"34377728\"]\n  27 -> 36 [size =\"34377728\"]\n  27 -> 37 [size =\"34377728\"]\n  27 -> 38 [size =\"34377728\"]\n  27 -> 39 [size =\"34377728\"]\n  27 -> 40 [size =\"34377728\"]\n  27 -> 42 [size =\"34377728\"]\n  27 -> 44 [size =\"34377728\"]\n  27 -> 49 [size =\"34377728\"]\n  28 [size=\"34736640\", alpha=\"0.10\", expect_size=\"13894656\"] \n  28 -> 30 [size =\"13894656\"]\n  28 -> 37 [size =\"13894656\"]\n  28 -> 38 [size =\"13894656\"]\n  28 -> 39 [size =\"13894656\"]\n  28 -> 42 [size =\"13894656\"]\n  28 -> 45 [size =\"13894656\"]\n  28 -> 47 [size =\"13894656\"]\n  28 -> 48 [size =\"13894656\"]\n  28 -> 50 [size =\"13894656\"]\n  29 [size=\"27993600\", alpha=\"0.06\", expect_size=\"11197440\"] \n  29 -> 31 [size =\"11197440\"]\n  29 -> 36 [size =\"11197440\"]\n  29 -> 37 [size =\"11197440\"]\n  29 -> 38 [size =\"11197440\"]\n  29 -> 39 [size =\"11197440\"]\n  29 -> 42 [size =\"11197440\"]\n  29 -> 45 [size =\"11197440\"]\n  29 -> 46 [size =\"11197440\"]\n  29 -> 47 [size =\"11197440\"]\n  29 -> 48 [size =\"11197440\"]\n  29 -> 49 [size =\"11197440\"]\n  29 -> 50 [size =\"11197440\"]\n  30 [size=\"94840320\", alpha=\"0.10\", expect_size=\"37936128\"] \n  31 [size=\"126673920\", alpha=\"0.01\", expect_size=\"50669568\"] \n  32 [size=\"97912320\", alpha=\"0.09\", expect_size=\"39164928\"] \n  33 [size=\"45491200\", alpha=\"0.04\", expect_size=\"18196480\"] \n  34 [size=\"88952320\", alpha=\"0.15\", expect_size=\"35580928\"] \n  35 [size=\"24028160\", alpha=\"0.10\", expect_size=\"9611264\"] \n  36 [size=\"43640320\", alpha=\"0.11\", expect_size=\"17456128\"] \n  37 [size=\"44016640\", alpha=\"0.09\", expect_size=\"17606656\"] \n  38 [size=\"13770240\", alpha=\"0.01\", expect_size=\"5508096\"] \n  39 [size=\"75200000\", alpha=\"0.18\", expect_size=\"30080000\"] \n  40 [size=\"110899200\", alpha=\"0.14\", expect_size=\"44359680\"] \n  41 [size=\"49367040\", alpha=\"0.20\", expect_size=\"19746816\"] \n  42 [size=\"53352960\", alpha=\"0.06\", expect_size=\"21341184\"] \n  43 [size=\"107509760\", alpha=\"0.04\", expect_size=\"43003904\"] \n  44 [size=\"130800640\", alpha=\"0.05\", expect_size=\"52320256\"] \n  45 [size=\"101240320\", alpha=\"0.14\", expect_size=\"40496128\"] \n  46 [size=\"41164800\", alpha=\"0.10\", expect_size=\"16465920\"] \n  47 [size=\"107230720\", alpha=\"0.19\", expect_size=\"42892288\"] \n  48 [size=\"44897280\", alpha=\"0.11\", expect_size=\"17958912\"] \n  49 [size=\"52687360\", alpha=\"0.06\", expect_size=\"21074944\"] \n  50 [size=\"41162240\", alpha=\"0.14\", expect_size=\"16464896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.960.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113169067\", alpha=\"0.04\", expect_size=\"33950720\"] \n  1 -> 26 [size =\"33950720\"]\n  1 -> 27 [size =\"33950720\"]\n  1 -> 31 [size =\"33950720\"]\n  1 -> 34 [size =\"33950720\"]\n  1 -> 35 [size =\"33950720\"]\n  1 -> 37 [size =\"33950720\"]\n  1 -> 42 [size =\"33950720\"]\n  1 -> 46 [size =\"33950720\"]\n  1 -> 48 [size =\"33950720\"]\n  2 [size=\"37672960\", alpha=\"0.04\", expect_size=\"11301888\"] \n  2 -> 26 [size =\"11301888\"]\n  2 -> 27 [size =\"11301888\"]\n  2 -> 30 [size =\"11301888\"]\n  2 -> 31 [size =\"11301888\"]\n  2 -> 37 [size =\"11301888\"]\n  2 -> 43 [size =\"11301888\"]\n  3 [size=\"131536213\", alpha=\"0.19\", expect_size=\"39460864\"] \n  3 -> 27 [size =\"39460864\"]\n  3 -> 27 [size =\"39460864\"]\n  3 -> 28 [size =\"39460864\"]\n  3 -> 34 [size =\"39460864\"]\n  3 -> 40 [size =\"39460864\"]\n  3 -> 47 [size =\"39460864\"]\n  4 [size=\"49070080\", alpha=\"0.17\", expect_size=\"14721024\"] \n  4 -> 25 [size =\"14721024\"]\n  4 -> 28 [size =\"14721024\"]\n  4 -> 35 [size =\"14721024\"]\n  4 -> 37 [size =\"14721024\"]\n  4 -> 42 [size =\"14721024\"]\n  5 [size=\"135069013\", alpha=\"0.07\", expect_size=\"40520704\"] \n  5 -> 25 [size =\"40520704\"]\n  5 -> 28 [size =\"40520704\"]\n  5 -> 30 [size =\"40520704\"]\n  5 -> 31 [size =\"40520704\"]\n  5 -> 34 [size =\"40520704\"]\n  5 -> 37 [size =\"40520704\"]\n  5 -> 47 [size =\"40520704\"]\n  5 -> 48 [size =\"40520704\"]\n  5 -> 49 [size =\"40520704\"]\n  6 [size=\"63839573\", alpha=\"0.11\", expect_size=\"19151872\"] \n  6 -> 25 [size =\"19151872\"]\n  6 -> 27 [size =\"19151872\"]\n  6 -> 28 [size =\"19151872\"]\n  6 -> 29 [size =\"19151872\"]\n  6 -> 31 [size =\"19151872\"]\n  6 -> 32 [size =\"19151872\"]\n  6 -> 37 [size =\"19151872\"]\n  6 -> 43 [size =\"19151872\"]\n  6 -> 48 [size =\"19151872\"]\n  6 -> 50 [size =\"19151872\"]\n  7 [size=\"110656853\", alpha=\"0.12\", expect_size=\"33197056\"] \n  7 -> 27 [size =\"33197056\"]\n  7 -> 37 [size =\"33197056\"]\n  7 -> 49 [size =\"33197056\"]\n  8 [size=\"119480320\", alpha=\"0.06\", expect_size=\"35844096\"] \n  8 -> 28 [size =\"35844096\"]\n  8 -> 34 [size =\"35844096\"]\n  8 -> 39 [size =\"35844096\"]\n  8 -> 46 [size =\"35844096\"]\n  8 -> 48 [size =\"35844096\"]\n  8 -> 49 [size =\"35844096\"]\n  8 -> 50 [size =\"35844096\"]\n  9 [size=\"153972053\", alpha=\"0.10\", expect_size=\"46191616\"] \n  9 -> 25 [size =\"46191616\"]\n  9 -> 33 [size =\"46191616\"]\n  9 -> 34 [size =\"46191616\"]\n  9 -> 35 [size =\"46191616\"]\n  9 -> 39 [size =\"46191616\"]\n  9 -> 41 [size =\"46191616\"]\n  9 -> 46 [size =\"46191616\"]\n  9 -> 48 [size =\"46191616\"]\n  9 -> 49 [size =\"46191616\"]\n  10 [size=\"115159040\", alpha=\"0.15\", expect_size=\"34547712\"] \n  10 -> 25 [size =\"34547712\"]\n  10 -> 26 [size =\"34547712\"]\n  10 -> 27 [size =\"34547712\"]\n  10 -> 30 [size =\"34547712\"]\n  10 -> 34 [size =\"34547712\"]\n  10 -> 41 [size =\"34547712\"]\n  10 -> 48 [size =\"34547712\"]\n  10 -> 49 [size =\"34547712\"]\n  11 [size=\"17517227\", alpha=\"0.08\", expect_size=\"5255168\"] \n  11 -> 25 [size =\"5255168\"]\n  11 -> 26 [size =\"5255168\"]\n  11 -> 27 [size =\"5255168\"]\n  11 -> 34 [size =\"5255168\"]\n  11 -> 44 [size =\"5255168\"]\n  11 -> 50 [size =\"5255168\"]\n  12 [size=\"47383893\", alpha=\"0.12\", expect_size=\"14215168\"] \n  12 -> 25 [size =\"14215168\"]\n  12 -> 28 [size =\"14215168\"]\n  12 -> 31 [size =\"14215168\"]\n  12 -> 37 [size =\"14215168\"]\n  12 -> 48 [size =\"14215168\"]\n  12 -> 49 [size =\"14215168\"]\n  12 -> 50 [size =\"14215168\"]\n  13 [size=\"80244053\", alpha=\"0.15\", expect_size=\"24073216\"] \n  13 -> 25 [size =\"24073216\"]\n  13 -> 28 [size =\"24073216\"]\n  13 -> 33 [size =\"24073216\"]\n  13 -> 35 [size =\"24073216\"]\n  13 -> 46 [size =\"24073216\"]\n  13 -> 47 [size =\"24073216\"]\n  13 -> 48 [size =\"24073216\"]\n  13 -> 50 [size =\"24073216\"]\n  14 [size=\"68969813\", alpha=\"0.01\", expect_size=\"20690944\"] \n  14 -> 30 [size =\"20690944\"]\n  14 -> 37 [size =\"20690944\"]\n  14 -> 42 [size =\"20690944\"]\n  14 -> 46 [size =\"20690944\"]\n  14 -> 47 [size =\"20690944\"]\n  14 -> 48 [size =\"20690944\"]\n  14 -> 49 [size =\"20690944\"]\n  14 -> 50 [size =\"20690944\"]\n  15 [size=\"44240213\", alpha=\"0.08\", expect_size=\"13272064\"] \n  15 -> 25 [size =\"13272064\"]\n  15 -> 28 [size =\"13272064\"]\n  15 -> 32 [size =\"13272064\"]\n  15 -> 36 [size =\"13272064\"]\n  15 -> 37 [size =\"13272064\"]\n  15 -> 41 [size =\"13272064\"]\n  15 -> 49 [size =\"13272064\"]\n  16 [size=\"100461227\", alpha=\"0.02\", expect_size=\"30138368\"] \n  16 -> 44 [size =\"30138368\"]\n  16 -> 46 [size =\"30138368\"]\n  17 [size=\"29003093\", alpha=\"0.16\", expect_size=\"8700928\"] \n  17 -> 34 [size =\"8700928\"]\n  17 -> 35 [size =\"8700928\"]\n  17 -> 38 [size =\"8700928\"]\n  17 -> 40 [size =\"8700928\"]\n  17 -> 49 [size =\"8700928\"]\n  18 [size=\"123740160\", alpha=\"0.15\", expect_size=\"37122048\"] \n  18 -> 34 [size =\"37122048\"]\n  18 -> 35 [size =\"37122048\"]\n  18 -> 40 [size =\"37122048\"]\n  18 -> 41 [size =\"37122048\"]\n  18 -> 46 [size =\"37122048\"]\n  18 -> 48 [size =\"37122048\"]\n  18 -> 50 [size =\"37122048\"]\n  19 [size=\"171031893\", alpha=\"0.00\", expect_size=\"51309568\"] \n  19 -> 30 [size =\"51309568\"]\n  19 -> 32 [size =\"51309568\"]\n  19 -> 48 [size =\"51309568\"]\n  19 -> 50 [size =\"51309568\"]\n  20 [size=\"91849387\", alpha=\"0.06\", expect_size=\"27554816\"] \n  20 -> 43 [size =\"27554816\"]\n  20 -> 44 [size =\"27554816\"]\n  20 -> 45 [size =\"27554816\"]\n  20 -> 49 [size =\"27554816\"]\n  20 -> 50 [size =\"27554816\"]\n  21 [size=\"51913387\", alpha=\"0.04\", expect_size=\"15574016\"] \n  21 -> 26 [size =\"15574016\"]\n  21 -> 27 [size =\"15574016\"]\n  21 -> 34 [size =\"15574016\"]\n  21 -> 37 [size =\"15574016\"]\n  21 -> 40 [size =\"15574016\"]\n  21 -> 41 [size =\"15574016\"]\n  21 -> 48 [size =\"15574016\"]\n  21 -> 50 [size =\"15574016\"]\n  22 [size=\"117493760\", alpha=\"0.05\", expect_size=\"35248128\"] \n  22 -> 30 [size =\"35248128\"]\n  22 -> 35 [size =\"35248128\"]\n  22 -> 36 [size =\"35248128\"]\n  22 -> 37 [size =\"35248128\"]\n  22 -> 49 [size =\"35248128\"]\n  22 -> 50 [size =\"35248128\"]\n  23 [size=\"56302933\", alpha=\"0.00\", expect_size=\"16890880\"] \n  23 -> 25 [size =\"16890880\"]\n  23 -> 30 [size =\"16890880\"]\n  23 -> 41 [size =\"16890880\"]\n  23 -> 42 [size =\"16890880\"]\n  23 -> 46 [size =\"16890880\"]\n  24 [size=\"19537920\", alpha=\"0.20\", expect_size=\"5861376\"] \n  24 -> 27 [size =\"5861376\"]\n  24 -> 30 [size =\"5861376\"]\n  24 -> 37 [size =\"5861376\"]\n  24 -> 40 [size =\"5861376\"]\n  24 -> 44 [size =\"5861376\"]\n  24 -> 46 [size =\"5861376\"]\n  25 [size=\"31023787\", alpha=\"0.14\", expect_size=\"9307136\"] \n  26 [size=\"97256107\", alpha=\"0.14\", expect_size=\"29176832\"] \n  27 [size=\"112861867\", alpha=\"0.06\", expect_size=\"33858560\"] \n  28 [size=\"77622613\", alpha=\"0.11\", expect_size=\"23286784\"] \n  29 [size=\"37120000\", alpha=\"0.13\", expect_size=\"11136000\"] \n  30 [size=\"37891413\", alpha=\"0.08\", expect_size=\"11367424\"] \n  31 [size=\"85964800\", alpha=\"0.03\", expect_size=\"25789440\"] \n  32 [size=\"119749973\", alpha=\"0.01\", expect_size=\"35924992\"] \n  33 [size=\"159440213\", alpha=\"0.08\", expect_size=\"47832064\"] \n  34 [size=\"161815893\", alpha=\"0.01\", expect_size=\"48544768\"] \n  35 [size=\"158474240\", alpha=\"0.17\", expect_size=\"47542272\"] \n  36 [size=\"109718187\", alpha=\"0.04\", expect_size=\"32915456\"] \n  37 [size=\"61921280\", alpha=\"0.13\", expect_size=\"18576384\"] \n  38 [size=\"108257280\", alpha=\"0.15\", expect_size=\"32477184\"] \n  39 [size=\"36160853\", alpha=\"0.16\", expect_size=\"10848256\"] \n  40 [size=\"139421013\", alpha=\"0.07\", expect_size=\"41826304\"] \n  41 [size=\"43857920\", alpha=\"0.02\", expect_size=\"13157376\"] \n  42 [size=\"64085333\", alpha=\"0.11\", expect_size=\"19225600\"] \n  43 [size=\"72727893\", alpha=\"0.04\", expect_size=\"21818368\"] \n  44 [size=\"132556800\", alpha=\"0.17\", expect_size=\"39767040\"] \n  45 [size=\"137779200\", alpha=\"0.12\", expect_size=\"41333760\"] \n  46 [size=\"115159040\", alpha=\"0.17\", expect_size=\"34547712\"] \n  47 [size=\"147688107\", alpha=\"0.14\", expect_size=\"44306432\"] \n  48 [size=\"89603413\", alpha=\"0.19\", expect_size=\"26881024\"] \n  49 [size=\"47172267\", alpha=\"0.07\", expect_size=\"14151680\"] \n  50 [size=\"173953707\", alpha=\"0.17\", expect_size=\"52186112\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.961.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"133464747\", alpha=\"0.10\", expect_size=\"40039424\"] \n  1 -> 3 [size =\"40039424\"]\n  2 [size=\"157668693\", alpha=\"0.15\", expect_size=\"47300608\"] \n  2 -> 3 [size =\"47300608\"]\n  2 -> 4 [size =\"47300608\"]\n  3 [size=\"141455360\", alpha=\"0.04\", expect_size=\"42436608\"] \n  3 -> 5 [size =\"42436608\"]\n  4 [size=\"56808107\", alpha=\"0.13\", expect_size=\"17042432\"] \n  4 -> 6 [size =\"17042432\"]\n  5 [size=\"89193813\", alpha=\"0.09\", expect_size=\"26758144\"] \n  6 [size=\"98409813\", alpha=\"0.18\", expect_size=\"29522944\"] \n  6 -> 7 [size =\"29522944\"]\n  6 -> 8 [size =\"29522944\"]\n  6 -> 9 [size =\"29522944\"]\n  7 [size=\"66925227\", alpha=\"0.14\", expect_size=\"20077568\"] \n  7 -> 10 [size =\"20077568\"]\n  7 -> 11 [size =\"20077568\"]\n  8 [size=\"137427627\", alpha=\"0.06\", expect_size=\"41228288\"] \n  8 -> 10 [size =\"41228288\"]\n  9 [size=\"129170773\", alpha=\"0.02\", expect_size=\"38751232\"] \n  9 -> 10 [size =\"38751232\"]\n  9 -> 11 [size =\"38751232\"]\n  10 [size=\"164102827\", alpha=\"0.13\", expect_size=\"49230848\"] \n  10 -> 12 [size =\"49230848\"]\n  10 -> 13 [size =\"49230848\"]\n  10 -> 14 [size =\"49230848\"]\n  11 [size=\"143817387\", alpha=\"0.09\", expect_size=\"43145216\"] \n  11 -> 13 [size =\"43145216\"]\n  12 [size=\"66734080\", alpha=\"0.07\", expect_size=\"20020224\"] \n  12 -> 15 [size =\"20020224\"]\n  13 [size=\"29224960\", alpha=\"0.00\", expect_size=\"8767488\"] \n  13 -> 15 [size =\"8767488\"]\n  13 -> 16 [size =\"8767488\"]\n  14 [size=\"58187093\", alpha=\"0.01\", expect_size=\"17456128\"] \n  14 -> 15 [size =\"17456128\"]\n  14 -> 16 [size =\"17456128\"]\n  15 [size=\"160518827\", alpha=\"0.06\", expect_size=\"48155648\"] \n  15 -> 17 [size =\"48155648\"]\n  15 -> 19 [size =\"48155648\"]\n  16 [size=\"75878400\", alpha=\"0.02\", expect_size=\"22763520\"] \n  16 -> 18 [size =\"22763520\"]\n  17 [size=\"56698880\", alpha=\"0.05\", expect_size=\"17009664\"] \n  17 -> 21 [size =\"17009664\"]\n  18 [size=\"167232853\", alpha=\"0.19\", expect_size=\"50169856\"] \n  19 [size=\"59043840\", alpha=\"0.17\", expect_size=\"17713152\"] \n  19 -> 20 [size =\"17713152\"]\n  19 -> 21 [size =\"17713152\"]\n  20 [size=\"71533227\", alpha=\"0.01\", expect_size=\"21459968\"] \n  20 -> 23 [size =\"21459968\"]\n  20 -> 24 [size =\"21459968\"]\n  21 [size=\"172800000\", alpha=\"0.01\", expect_size=\"51840000\"] \n  21 -> 22 [size =\"51840000\"]\n  21 -> 23 [size =\"51840000\"]\n  21 -> 24 [size =\"51840000\"]\n  22 [size=\"82961067\", alpha=\"0.18\", expect_size=\"24888320\"] \n  22 -> 25 [size =\"24888320\"]\n  23 [size=\"138687147\", alpha=\"0.11\", expect_size=\"41606144\"] \n  23 -> 25 [size =\"41606144\"]\n  23 -> 26 [size =\"41606144\"]\n  24 [size=\"139834027\", alpha=\"0.09\", expect_size=\"41950208\"] \n  24 -> 26 [size =\"41950208\"]\n  25 [size=\"146046293\", alpha=\"0.16\", expect_size=\"43813888\"] \n  25 -> 28 [size =\"43813888\"]\n  26 [size=\"33611093\", alpha=\"0.13\", expect_size=\"10083328\"] \n  26 -> 27 [size =\"10083328\"]\n  26 -> 29 [size =\"10083328\"]\n  27 [size=\"49445547\", alpha=\"0.17\", expect_size=\"14833664\"] \n  27 -> 31 [size =\"14833664\"]\n  28 [size=\"89108480\", alpha=\"0.16\", expect_size=\"26732544\"] \n  28 -> 30 [size =\"26732544\"]\n  28 -> 31 [size =\"26732544\"]\n  28 -> 32 [size =\"26732544\"]\n  29 [size=\"77817173\", alpha=\"0.09\", expect_size=\"23345152\"] \n  29 -> 32 [size =\"23345152\"]\n  30 [size=\"51872427\", alpha=\"0.01\", expect_size=\"15561728\"] \n  30 -> 33 [size =\"15561728\"]\n  30 -> 34 [size =\"15561728\"]\n  31 [size=\"62146560\", alpha=\"0.08\", expect_size=\"18643968\"] \n  31 -> 34 [size =\"18643968\"]\n  31 -> 35 [size =\"18643968\"]\n  32 [size=\"67341653\", alpha=\"0.02\", expect_size=\"20202496\"] \n  33 [size=\"50370560\", alpha=\"0.18\", expect_size=\"15111168\"] \n  33 -> 37 [size =\"15111168\"]\n  34 [size=\"135208960\", alpha=\"0.19\", expect_size=\"40562688\"] \n  34 -> 37 [size =\"40562688\"]\n  35 [size=\"46622720\", alpha=\"0.18\", expect_size=\"13986816\"] \n  35 -> 36 [size =\"13986816\"]\n  35 -> 37 [size =\"13986816\"]\n  36 [size=\"170895360\", alpha=\"0.04\", expect_size=\"51268608\"] \n  36 -> 38 [size =\"51268608\"]\n  36 -> 39 [size =\"51268608\"]\n  36 -> 40 [size =\"51268608\"]\n  37 [size=\"117111467\", alpha=\"0.15\", expect_size=\"35133440\"] \n  37 -> 39 [size =\"35133440\"]\n  37 -> 40 [size =\"35133440\"]\n  38 [size=\"92002987\", alpha=\"0.06\", expect_size=\"27600896\"] \n  38 -> 42 [size =\"27600896\"]\n  39 [size=\"58234880\", alpha=\"0.01\", expect_size=\"17470464\"] \n  40 [size=\"127508480\", alpha=\"0.04\", expect_size=\"38252544\"] \n  40 -> 41 [size =\"38252544\"]\n  40 -> 42 [size =\"38252544\"]\n  41 [size=\"131877547\", alpha=\"0.06\", expect_size=\"39563264\"] \n  41 -> 43 [size =\"39563264\"]\n  41 -> 44 [size =\"39563264\"]\n  42 [size=\"40400213\", alpha=\"0.17\", expect_size=\"12120064\"] \n  42 -> 43 [size =\"12120064\"]\n  43 [size=\"59624107\", alpha=\"0.03\", expect_size=\"17887232\"] \n  43 -> 46 [size =\"17887232\"]\n  44 [size=\"44008107\", alpha=\"0.05\", expect_size=\"13202432\"] \n  44 -> 45 [size =\"13202432\"]\n  44 -> 46 [size =\"13202432\"]\n  44 -> 47 [size =\"13202432\"]\n  45 [size=\"34269867\", alpha=\"0.03\", expect_size=\"10280960\"] \n  45 -> 50 [size =\"10280960\"]\n  46 [size=\"173451947\", alpha=\"0.03\", expect_size=\"52035584\"] \n  46 -> 48 [size =\"52035584\"]\n  46 -> 49 [size =\"52035584\"]\n  46 -> 50 [size =\"52035584\"]\n  47 [size=\"48097280\", alpha=\"0.07\", expect_size=\"14429184\"] \n  47 -> 48 [size =\"14429184\"]\n  47 -> 49 [size =\"14429184\"]\n  48 [size=\"169287680\", alpha=\"0.20\", expect_size=\"50786304\"] \n  49 [size=\"57640960\", alpha=\"0.01\", expect_size=\"17292288\"] \n  50 [size=\"69297493\", alpha=\"0.06\", expect_size=\"20789248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.962.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50816000\", alpha=\"0.09\", expect_size=\"20326400\"] \n  1 -> 32 [size =\"20326400\"]\n  1 -> 34 [size =\"20326400\"]\n  1 -> 36 [size =\"20326400\"]\n  1 -> 38 [size =\"20326400\"]\n  1 -> 39 [size =\"20326400\"]\n  1 -> 42 [size =\"20326400\"]\n  1 -> 44 [size =\"20326400\"]\n  1 -> 44 [size =\"20326400\"]\n  1 -> 47 [size =\"20326400\"]\n  2 [size=\"14571520\", alpha=\"0.08\", expect_size=\"5828608\"] \n  2 -> 32 [size =\"5828608\"]\n  2 -> 36 [size =\"5828608\"]\n  2 -> 38 [size =\"5828608\"]\n  2 -> 38 [size =\"5828608\"]\n  2 -> 39 [size =\"5828608\"]\n  2 -> 40 [size =\"5828608\"]\n  2 -> 42 [size =\"5828608\"]\n  2 -> 43 [size =\"5828608\"]\n  2 -> 44 [size =\"5828608\"]\n  2 -> 47 [size =\"5828608\"]\n  3 [size=\"124925440\", alpha=\"0.09\", expect_size=\"49970176\"] \n  3 -> 38 [size =\"49970176\"]\n  3 -> 39 [size =\"49970176\"]\n  3 -> 40 [size =\"49970176\"]\n  3 -> 41 [size =\"49970176\"]\n  3 -> 42 [size =\"49970176\"]\n  3 -> 43 [size =\"49970176\"]\n  3 -> 44 [size =\"49970176\"]\n  3 -> 47 [size =\"49970176\"]\n  3 -> 49 [size =\"49970176\"]\n  3 -> 50 [size =\"49970176\"]\n  4 [size=\"113295360\", alpha=\"0.11\", expect_size=\"45318144\"] \n  4 -> 32 [size =\"45318144\"]\n  4 -> 34 [size =\"45318144\"]\n  4 -> 35 [size =\"45318144\"]\n  4 -> 36 [size =\"45318144\"]\n  4 -> 38 [size =\"45318144\"]\n  4 -> 39 [size =\"45318144\"]\n  4 -> 40 [size =\"45318144\"]\n  4 -> 41 [size =\"45318144\"]\n  4 -> 42 [size =\"45318144\"]\n  4 -> 43 [size =\"45318144\"]\n  4 -> 50 [size =\"45318144\"]\n  5 [size=\"97454080\", alpha=\"0.12\", expect_size=\"38981632\"] \n  5 -> 34 [size =\"38981632\"]\n  5 -> 36 [size =\"38981632\"]\n  5 -> 38 [size =\"38981632\"]\n  5 -> 39 [size =\"38981632\"]\n  5 -> 40 [size =\"38981632\"]\n  5 -> 41 [size =\"38981632\"]\n  5 -> 42 [size =\"38981632\"]\n  5 -> 43 [size =\"38981632\"]\n  5 -> 44 [size =\"38981632\"]\n  5 -> 47 [size =\"38981632\"]\n  5 -> 49 [size =\"38981632\"]\n  6 [size=\"54743040\", alpha=\"0.04\", expect_size=\"21897216\"] \n  6 -> 36 [size =\"21897216\"]\n  6 -> 36 [size =\"21897216\"]\n  6 -> 38 [size =\"21897216\"]\n  6 -> 39 [size =\"21897216\"]\n  6 -> 40 [size =\"21897216\"]\n  6 -> 41 [size =\"21897216\"]\n  6 -> 42 [size =\"21897216\"]\n  6 -> 44 [size =\"21897216\"]\n  6 -> 47 [size =\"21897216\"]\n  6 -> 49 [size =\"21897216\"]\n  7 [size=\"58311680\", alpha=\"0.08\", expect_size=\"23324672\"] \n  7 -> 36 [size =\"23324672\"]\n  7 -> 38 [size =\"23324672\"]\n  7 -> 39 [size =\"23324672\"]\n  7 -> 39 [size =\"23324672\"]\n  7 -> 40 [size =\"23324672\"]\n  7 -> 41 [size =\"23324672\"]\n  7 -> 43 [size =\"23324672\"]\n  8 [size=\"28994560\", alpha=\"0.15\", expect_size=\"11597824\"] \n  8 -> 34 [size =\"11597824\"]\n  8 -> 36 [size =\"11597824\"]\n  8 -> 39 [size =\"11597824\"]\n  8 -> 40 [size =\"11597824\"]\n  8 -> 40 [size =\"11597824\"]\n  8 -> 41 [size =\"11597824\"]\n  8 -> 43 [size =\"11597824\"]\n  8 -> 44 [size =\"11597824\"]\n  8 -> 47 [size =\"11597824\"]\n  8 -> 50 [size =\"11597824\"]\n  9 [size=\"96742400\", alpha=\"0.18\", expect_size=\"38696960\"] \n  9 -> 36 [size =\"38696960\"]\n  9 -> 38 [size =\"38696960\"]\n  9 -> 39 [size =\"38696960\"]\n  9 -> 40 [size =\"38696960\"]\n  9 -> 41 [size =\"38696960\"]\n  9 -> 42 [size =\"38696960\"]\n  9 -> 44 [size =\"38696960\"]\n  9 -> 47 [size =\"38696960\"]\n  9 -> 47 [size =\"38696960\"]\n  9 -> 50 [size =\"38696960\"]\n  10 [size=\"57830400\", alpha=\"0.01\", expect_size=\"23132160\"] \n  10 -> 36 [size =\"23132160\"]\n  10 -> 37 [size =\"23132160\"]\n  10 -> 39 [size =\"23132160\"]\n  10 -> 41 [size =\"23132160\"]\n  10 -> 41 [size =\"23132160\"]\n  10 -> 43 [size =\"23132160\"]\n  10 -> 44 [size =\"23132160\"]\n  11 [size=\"120629760\", alpha=\"0.00\", expect_size=\"48251904\"] \n  11 -> 32 [size =\"48251904\"]\n  11 -> 36 [size =\"48251904\"]\n  11 -> 38 [size =\"48251904\"]\n  11 -> 39 [size =\"48251904\"]\n  11 -> 43 [size =\"48251904\"]\n  11 -> 46 [size =\"48251904\"]\n  12 [size=\"53050880\", alpha=\"0.03\", expect_size=\"21220352\"] \n  12 -> 36 [size =\"21220352\"]\n  12 -> 36 [size =\"21220352\"]\n  12 -> 39 [size =\"21220352\"]\n  12 -> 39 [size =\"21220352\"]\n  12 -> 42 [size =\"21220352\"]\n  12 -> 47 [size =\"21220352\"]\n  13 [size=\"99125760\", alpha=\"0.13\", expect_size=\"39650304\"] \n  13 -> 32 [size =\"39650304\"]\n  13 -> 33 [size =\"39650304\"]\n  13 -> 34 [size =\"39650304\"]\n  13 -> 35 [size =\"39650304\"]\n  13 -> 36 [size =\"39650304\"]\n  13 -> 37 [size =\"39650304\"]\n  13 -> 39 [size =\"39650304\"]\n  13 -> 41 [size =\"39650304\"]\n  13 -> 43 [size =\"39650304\"]\n  13 -> 47 [size =\"39650304\"]\n  13 -> 50 [size =\"39650304\"]\n  14 [size=\"36398080\", alpha=\"0.11\", expect_size=\"14559232\"] \n  14 -> 32 [size =\"14559232\"]\n  14 -> 37 [size =\"14559232\"]\n  14 -> 39 [size =\"14559232\"]\n  14 -> 41 [size =\"14559232\"]\n  14 -> 44 [size =\"14559232\"]\n  14 -> 47 [size =\"14559232\"]\n  14 -> 50 [size =\"14559232\"]\n  15 [size=\"101583360\", alpha=\"0.15\", expect_size=\"40633344\"] \n  15 -> 32 [size =\"40633344\"]\n  15 -> 36 [size =\"40633344\"]\n  15 -> 38 [size =\"40633344\"]\n  15 -> 39 [size =\"40633344\"]\n  15 -> 41 [size =\"40633344\"]\n  15 -> 43 [size =\"40633344\"]\n  15 -> 44 [size =\"40633344\"]\n  15 -> 46 [size =\"40633344\"]\n  15 -> 47 [size =\"40633344\"]\n  15 -> 48 [size =\"40633344\"]\n  15 -> 50 [size =\"40633344\"]\n  16 [size=\"52920320\", alpha=\"0.04\", expect_size=\"21168128\"] \n  16 -> 32 [size =\"21168128\"]\n  16 -> 36 [size =\"21168128\"]\n  16 -> 37 [size =\"21168128\"]\n  16 -> 38 [size =\"21168128\"]\n  16 -> 39 [size =\"21168128\"]\n  16 -> 41 [size =\"21168128\"]\n  16 -> 44 [size =\"21168128\"]\n  17 [size=\"76239360\", alpha=\"0.12\", expect_size=\"30495744\"] \n  17 -> 36 [size =\"30495744\"]\n  17 -> 36 [size =\"30495744\"]\n  17 -> 38 [size =\"30495744\"]\n  17 -> 39 [size =\"30495744\"]\n  17 -> 39 [size =\"30495744\"]\n  17 -> 40 [size =\"30495744\"]\n  17 -> 44 [size =\"30495744\"]\n  17 -> 46 [size =\"30495744\"]\n  18 [size=\"125731840\", alpha=\"0.10\", expect_size=\"50292736\"] \n  18 -> 32 [size =\"50292736\"]\n  18 -> 34 [size =\"50292736\"]\n  18 -> 38 [size =\"50292736\"]\n  18 -> 39 [size =\"50292736\"]\n  18 -> 40 [size =\"50292736\"]\n  18 -> 40 [size =\"50292736\"]\n  18 -> 44 [size =\"50292736\"]\n  18 -> 46 [size =\"50292736\"]\n  18 -> 47 [size =\"50292736\"]\n  18 -> 49 [size =\"50292736\"]\n  19 [size=\"93340160\", alpha=\"0.01\", expect_size=\"37336064\"] \n  19 -> 32 [size =\"37336064\"]\n  19 -> 36 [size =\"37336064\"]\n  19 -> 40 [size =\"37336064\"]\n  19 -> 42 [size =\"37336064\"]\n  19 -> 44 [size =\"37336064\"]\n  19 -> 46 [size =\"37336064\"]\n  19 -> 47 [size =\"37336064\"]\n  19 -> 49 [size =\"37336064\"]\n  19 -> 50 [size =\"37336064\"]\n  20 [size=\"78717440\", alpha=\"0.07\", expect_size=\"31486976\"] \n  20 -> 31 [size =\"31486976\"]\n  20 -> 32 [size =\"31486976\"]\n  20 -> 35 [size =\"31486976\"]\n  20 -> 40 [size =\"31486976\"]\n  20 -> 42 [size =\"31486976\"]\n  20 -> 44 [size =\"31486976\"]\n  20 -> 47 [size =\"31486976\"]\n  20 -> 49 [size =\"31486976\"]\n  21 [size=\"85931520\", alpha=\"0.18\", expect_size=\"34372608\"] \n  21 -> 32 [size =\"34372608\"]\n  21 -> 35 [size =\"34372608\"]\n  21 -> 39 [size =\"34372608\"]\n  21 -> 40 [size =\"34372608\"]\n  21 -> 41 [size =\"34372608\"]\n  21 -> 43 [size =\"34372608\"]\n  21 -> 44 [size =\"34372608\"]\n  21 -> 45 [size =\"34372608\"]\n  21 -> 47 [size =\"34372608\"]\n  21 -> 50 [size =\"34372608\"]\n  22 [size=\"87687680\", alpha=\"0.11\", expect_size=\"35075072\"] \n  22 -> 34 [size =\"35075072\"]\n  22 -> 36 [size =\"35075072\"]\n  22 -> 39 [size =\"35075072\"]\n  22 -> 40 [size =\"35075072\"]\n  22 -> 42 [size =\"35075072\"]\n  22 -> 43 [size =\"35075072\"]\n  22 -> 44 [size =\"35075072\"]\n  23 [size=\"106063360\", alpha=\"0.02\", expect_size=\"42425344\"] \n  23 -> 37 [size =\"42425344\"]\n  23 -> 39 [size =\"42425344\"]\n  23 -> 40 [size =\"42425344\"]\n  23 -> 41 [size =\"42425344\"]\n  23 -> 42 [size =\"42425344\"]\n  23 -> 43 [size =\"42425344\"]\n  23 -> 44 [size =\"42425344\"]\n  23 -> 46 [size =\"42425344\"]\n  23 -> 50 [size =\"42425344\"]\n  24 [size=\"65134080\", alpha=\"0.10\", expect_size=\"26053632\"] \n  24 -> 32 [size =\"26053632\"]\n  24 -> 36 [size =\"26053632\"]\n  24 -> 39 [size =\"26053632\"]\n  24 -> 40 [size =\"26053632\"]\n  24 -> 41 [size =\"26053632\"]\n  24 -> 42 [size =\"26053632\"]\n  24 -> 43 [size =\"26053632\"]\n  24 -> 44 [size =\"26053632\"]\n  24 -> 47 [size =\"26053632\"]\n  25 [size=\"14269440\", alpha=\"0.12\", expect_size=\"5707776\"] \n  25 -> 32 [size =\"5707776\"]\n  25 -> 36 [size =\"5707776\"]\n  25 -> 38 [size =\"5707776\"]\n  25 -> 41 [size =\"5707776\"]\n  25 -> 42 [size =\"5707776\"]\n  25 -> 42 [size =\"5707776\"]\n  25 -> 47 [size =\"5707776\"]\n  25 -> 49 [size =\"5707776\"]\n  26 [size=\"103889920\", alpha=\"0.01\", expect_size=\"41555968\"] \n  26 -> 32 [size =\"41555968\"]\n  26 -> 33 [size =\"41555968\"]\n  26 -> 36 [size =\"41555968\"]\n  26 -> 38 [size =\"41555968\"]\n  26 -> 41 [size =\"41555968\"]\n  26 -> 43 [size =\"41555968\"]\n  26 -> 47 [size =\"41555968\"]\n  26 -> 50 [size =\"41555968\"]\n  27 [size=\"129341440\", alpha=\"0.19\", expect_size=\"51736576\"] \n  27 -> 32 [size =\"51736576\"]\n  27 -> 35 [size =\"51736576\"]\n  27 -> 36 [size =\"51736576\"]\n  27 -> 38 [size =\"51736576\"]\n  27 -> 40 [size =\"51736576\"]\n  27 -> 41 [size =\"51736576\"]\n  27 -> 42 [size =\"51736576\"]\n  27 -> 43 [size =\"51736576\"]\n  27 -> 47 [size =\"51736576\"]\n  27 -> 50 [size =\"51736576\"]\n  28 [size=\"83950080\", alpha=\"0.18\", expect_size=\"33580032\"] \n  28 -> 32 [size =\"33580032\"]\n  28 -> 38 [size =\"33580032\"]\n  28 -> 39 [size =\"33580032\"]\n  28 -> 40 [size =\"33580032\"]\n  28 -> 40 [size =\"33580032\"]\n  28 -> 41 [size =\"33580032\"]\n  28 -> 43 [size =\"33580032\"]\n  28 -> 47 [size =\"33580032\"]\n  28 -> 47 [size =\"33580032\"]\n  28 -> 50 [size =\"33580032\"]\n  29 [size=\"25761280\", alpha=\"0.12\", expect_size=\"10304512\"] \n  29 -> 32 [size =\"10304512\"]\n  29 -> 36 [size =\"10304512\"]\n  29 -> 38 [size =\"10304512\"]\n  29 -> 40 [size =\"10304512\"]\n  29 -> 43 [size =\"10304512\"]\n  29 -> 44 [size =\"10304512\"]\n  29 -> 47 [size =\"10304512\"]\n  29 -> 50 [size =\"10304512\"]\n  30 [size=\"32657920\", alpha=\"0.14\", expect_size=\"13063168\"] \n  30 -> 32 [size =\"13063168\"]\n  30 -> 36 [size =\"13063168\"]\n  30 -> 38 [size =\"13063168\"]\n  30 -> 40 [size =\"13063168\"]\n  30 -> 41 [size =\"13063168\"]\n  30 -> 42 [size =\"13063168\"]\n  30 -> 43 [size =\"13063168\"]\n  30 -> 44 [size =\"13063168\"]\n  30 -> 47 [size =\"13063168\"]\n  30 -> 49 [size =\"13063168\"]\n  30 -> 50 [size =\"13063168\"]\n  31 [size=\"71751680\", alpha=\"0.13\", expect_size=\"28700672\"] \n  32 [size=\"62786560\", alpha=\"0.00\", expect_size=\"25114624\"] \n  33 [size=\"125191680\", alpha=\"0.01\", expect_size=\"50076672\"] \n  34 [size=\"16893440\", alpha=\"0.06\", expect_size=\"6757376\"] \n  35 [size=\"74007040\", alpha=\"0.06\", expect_size=\"29602816\"] \n  36 [size=\"26990080\", alpha=\"0.13\", expect_size=\"10796032\"] \n  37 [size=\"35440640\", alpha=\"0.11\", expect_size=\"14176256\"] \n  38 [size=\"26600960\", alpha=\"0.07\", expect_size=\"10640384\"] \n  39 [size=\"16355840\", alpha=\"0.17\", expect_size=\"6542336\"] \n  40 [size=\"88345600\", alpha=\"0.19\", expect_size=\"35338240\"] \n  41 [size=\"51363840\", alpha=\"0.12\", expect_size=\"20545536\"] \n  42 [size=\"130897920\", alpha=\"0.19\", expect_size=\"52359168\"] \n  43 [size=\"130961920\", alpha=\"0.01\", expect_size=\"52384768\"] \n  44 [size=\"19614720\", alpha=\"0.12\", expect_size=\"7845888\"] \n  45 [size=\"56074240\", alpha=\"0.03\", expect_size=\"22429696\"] \n  46 [size=\"92894720\", alpha=\"0.09\", expect_size=\"37157888\"] \n  47 [size=\"51924480\", alpha=\"0.16\", expect_size=\"20769792\"] \n  48 [size=\"114257920\", alpha=\"0.14\", expect_size=\"45703168\"] \n  49 [size=\"38630400\", alpha=\"0.14\", expect_size=\"15452160\"] \n  50 [size=\"23237120\", alpha=\"0.18\", expect_size=\"9294848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.963.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"56041472\", alpha=\"0.13\", expect_size=\"28020736\"] \n  1 -> 8 [size =\"28020736\"]\n  1 -> 12 [size =\"28020736\"]\n  1 -> 13 [size =\"28020736\"]\n  1 -> 14 [size =\"28020736\"]\n  2 [size=\"103895040\", alpha=\"0.04\", expect_size=\"51947520\"] \n  2 -> 9 [size =\"51947520\"]\n  2 -> 10 [size =\"51947520\"]\n  2 -> 12 [size =\"51947520\"]\n  3 [size=\"72706048\", alpha=\"0.02\", expect_size=\"36353024\"] \n  3 -> 9 [size =\"36353024\"]\n  3 -> 11 [size =\"36353024\"]\n  4 [size=\"100567040\", alpha=\"0.17\", expect_size=\"50283520\"] \n  4 -> 9 [size =\"50283520\"]\n  4 -> 10 [size =\"50283520\"]\n  4 -> 11 [size =\"50283520\"]\n  5 [size=\"60123136\", alpha=\"0.00\", expect_size=\"30061568\"] \n  5 -> 9 [size =\"30061568\"]\n  5 -> 10 [size =\"30061568\"]\n  5 -> 13 [size =\"30061568\"]\n  6 [size=\"88875008\", alpha=\"0.07\", expect_size=\"44437504\"] \n  6 -> 7 [size =\"44437504\"]\n  6 -> 10 [size =\"44437504\"]\n  6 -> 15 [size =\"44437504\"]\n  7 [size=\"75642880\", alpha=\"0.09\", expect_size=\"37821440\"] \n  7 -> 20 [size =\"37821440\"]\n  8 [size=\"64137216\", alpha=\"0.00\", expect_size=\"32068608\"] \n  8 -> 16 [size =\"32068608\"]\n  8 -> 17 [size =\"32068608\"]\n  8 -> 18 [size =\"32068608\"]\n  8 -> 20 [size =\"32068608\"]\n  9 [size=\"102156288\", alpha=\"0.09\", expect_size=\"51078144\"] \n  9 -> 16 [size =\"51078144\"]\n  9 -> 17 [size =\"51078144\"]\n  9 -> 18 [size =\"51078144\"]\n  9 -> 20 [size =\"51078144\"]\n  10 [size=\"63934464\", alpha=\"0.08\", expect_size=\"31967232\"] \n  10 -> 16 [size =\"31967232\"]\n  10 -> 17 [size =\"31967232\"]\n  10 -> 18 [size =\"31967232\"]\n  10 -> 20 [size =\"31967232\"]\n  11 [size=\"51105792\", alpha=\"0.09\", expect_size=\"25552896\"] \n  11 -> 16 [size =\"25552896\"]\n  11 -> 17 [size =\"25552896\"]\n  12 [size=\"19744768\", alpha=\"0.02\", expect_size=\"9872384\"] \n  12 -> 21 [size =\"9872384\"]\n  13 [size=\"40456192\", alpha=\"0.16\", expect_size=\"20228096\"] \n  13 -> 17 [size =\"20228096\"]\n  14 [size=\"50952192\", alpha=\"0.14\", expect_size=\"25476096\"] \n  14 -> 18 [size =\"25476096\"]\n  14 -> 20 [size =\"25476096\"]\n  15 [size=\"36188160\", alpha=\"0.05\", expect_size=\"18094080\"] \n  15 -> 19 [size =\"18094080\"]\n  15 -> 20 [size =\"18094080\"]\n  16 [size=\"37029888\", alpha=\"0.02\", expect_size=\"18514944\"] \n  16 -> 24 [size =\"18514944\"]\n  16 -> 25 [size =\"18514944\"]\n  16 -> 26 [size =\"18514944\"]\n  17 [size=\"70215680\", alpha=\"0.15\", expect_size=\"35107840\"] \n  17 -> 28 [size =\"35107840\"]\n  18 [size=\"17704960\", alpha=\"0.15\", expect_size=\"8852480\"] \n  18 -> 22 [size =\"8852480\"]\n  18 -> 25 [size =\"8852480\"]\n  18 -> 26 [size =\"8852480\"]\n  19 [size=\"18239488\", alpha=\"0.12\", expect_size=\"9119744\"] \n  19 -> 23 [size =\"9119744\"]\n  19 -> 24 [size =\"9119744\"]\n  19 -> 25 [size =\"9119744\"]\n  20 [size=\"58857472\", alpha=\"0.16\", expect_size=\"29428736\"] \n  20 -> 27 [size =\"29428736\"]\n  21 [size=\"95125504\", alpha=\"0.09\", expect_size=\"47562752\"] \n  21 -> 25 [size =\"47562752\"]\n  22 [size=\"42571776\", alpha=\"0.01\", expect_size=\"21285888\"] \n  22 -> 30 [size =\"21285888\"]\n  22 -> 31 [size =\"21285888\"]\n  23 [size=\"53542912\", alpha=\"0.07\", expect_size=\"26771456\"] \n  23 -> 30 [size =\"26771456\"]\n  23 -> 32 [size =\"26771456\"]\n  24 [size=\"36061184\", alpha=\"0.12\", expect_size=\"18030592\"] \n  24 -> 30 [size =\"18030592\"]\n  25 [size=\"101824512\", alpha=\"0.08\", expect_size=\"50912256\"] \n  25 -> 29 [size =\"50912256\"]\n  25 -> 30 [size =\"50912256\"]\n  25 -> 31 [size =\"50912256\"]\n  26 [size=\"28764160\", alpha=\"0.00\", expect_size=\"14382080\"] \n  26 -> 31 [size =\"14382080\"]\n  27 [size=\"38617088\", alpha=\"0.06\", expect_size=\"19308544\"] \n  28 [size=\"13645824\", alpha=\"0.04\", expect_size=\"6822912\"] \n  28 -> 33 [size =\"6822912\"]\n  29 [size=\"84023296\", alpha=\"0.00\", expect_size=\"42011648\"] \n  29 -> 35 [size =\"42011648\"]\n  29 -> 39 [size =\"42011648\"]\n  29 -> 42 [size =\"42011648\"]\n  30 [size=\"47777792\", alpha=\"0.09\", expect_size=\"23888896\"] \n  30 -> 35 [size =\"23888896\"]\n  30 -> 38 [size =\"23888896\"]\n  30 -> 39 [size =\"23888896\"]\n  30 -> 41 [size =\"23888896\"]\n  30 -> 43 [size =\"23888896\"]\n  31 [size=\"27299840\", alpha=\"0.05\", expect_size=\"13649920\"] \n  31 -> 36 [size =\"13649920\"]\n  31 -> 37 [size =\"13649920\"]\n  31 -> 38 [size =\"13649920\"]\n  31 -> 40 [size =\"13649920\"]\n  32 [size=\"68147200\", alpha=\"0.04\", expect_size=\"34073600\"] \n  32 -> 35 [size =\"34073600\"]\n  32 -> 36 [size =\"34073600\"]\n  32 -> 37 [size =\"34073600\"]\n  32 -> 41 [size =\"34073600\"]\n  32 -> 42 [size =\"34073600\"]\n  32 -> 43 [size =\"34073600\"]\n  33 [size=\"74987520\", alpha=\"0.09\", expect_size=\"37493760\"] \n  33 -> 34 [size =\"37493760\"]\n  33 -> 36 [size =\"37493760\"]\n  34 [size=\"15669248\", alpha=\"0.03\", expect_size=\"7834624\"] \n  34 -> 44 [size =\"7834624\"]\n  34 -> 45 [size =\"7834624\"]\n  34 -> 46 [size =\"7834624\"]\n  34 -> 48 [size =\"7834624\"]\n  34 -> 50 [size =\"7834624\"]\n  35 [size=\"74645504\", alpha=\"0.02\", expect_size=\"37322752\"] \n  35 -> 46 [size =\"37322752\"]\n  35 -> 48 [size =\"37322752\"]\n  36 [size=\"18440192\", alpha=\"0.07\", expect_size=\"9220096\"] \n  36 -> 44 [size =\"9220096\"]\n  36 -> 50 [size =\"9220096\"]\n  37 [size=\"19816448\", alpha=\"0.04\", expect_size=\"9908224\"] \n  37 -> 47 [size =\"9908224\"]\n  38 [size=\"49557504\", alpha=\"0.03\", expect_size=\"24778752\"] \n  38 -> 48 [size =\"24778752\"]\n  38 -> 50 [size =\"24778752\"]\n  39 [size=\"66945024\", alpha=\"0.03\", expect_size=\"33472512\"] \n  39 -> 45 [size =\"33472512\"]\n  39 -> 49 [size =\"33472512\"]\n  40 [size=\"69277696\", alpha=\"0.14\", expect_size=\"34638848\"] \n  40 -> 45 [size =\"34638848\"]\n  40 -> 46 [size =\"34638848\"]\n  40 -> 49 [size =\"34638848\"]\n  40 -> 50 [size =\"34638848\"]\n  41 [size=\"15636480\", alpha=\"0.03\", expect_size=\"7818240\"] \n  41 -> 45 [size =\"7818240\"]\n  42 [size=\"41013248\", alpha=\"0.18\", expect_size=\"20506624\"] \n  42 -> 45 [size =\"20506624\"]\n  42 -> 50 [size =\"20506624\"]\n  43 [size=\"60295168\", alpha=\"0.03\", expect_size=\"30147584\"] \n  43 -> 44 [size =\"30147584\"]\n  43 -> 45 [size =\"30147584\"]\n  43 -> 46 [size =\"30147584\"]\n  44 [size=\"103454720\", alpha=\"0.13\", expect_size=\"51727360\"] \n  45 [size=\"22218752\", alpha=\"0.03\", expect_size=\"11109376\"] \n  46 [size=\"31029248\", alpha=\"0.16\", expect_size=\"15514624\"] \n  47 [size=\"62064640\", alpha=\"0.15\", expect_size=\"31032320\"] \n  48 [size=\"80678912\", alpha=\"0.15\", expect_size=\"40339456\"] \n  49 [size=\"94097408\", alpha=\"0.11\", expect_size=\"47048704\"] \n  50 [size=\"15699968\", alpha=\"0.14\", expect_size=\"7849984\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.964.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80762880\", alpha=\"0.17\", expect_size=\"40381440\"] \n  1 -> 4 [size =\"40381440\"]\n  1 -> 5 [size =\"40381440\"]\n  2 [size=\"72689664\", alpha=\"0.17\", expect_size=\"36344832\"] \n  2 -> 5 [size =\"36344832\"]\n  3 [size=\"35571712\", alpha=\"0.15\", expect_size=\"17785856\"] \n  3 -> 4 [size =\"17785856\"]\n  4 [size=\"94300160\", alpha=\"0.06\", expect_size=\"47150080\"] \n  4 -> 6 [size =\"47150080\"]\n  4 -> 8 [size =\"47150080\"]\n  5 [size=\"69634048\", alpha=\"0.14\", expect_size=\"34817024\"] \n  5 -> 7 [size =\"34817024\"]\n  6 [size=\"30982144\", alpha=\"0.08\", expect_size=\"15491072\"] \n  6 -> 9 [size =\"15491072\"]\n  7 [size=\"63309824\", alpha=\"0.08\", expect_size=\"31654912\"] \n  8 [size=\"18868224\", alpha=\"0.12\", expect_size=\"9434112\"] \n  8 -> 10 [size =\"9434112\"]\n  8 -> 11 [size =\"9434112\"]\n  9 [size=\"22577152\", alpha=\"0.00\", expect_size=\"11288576\"] \n  9 -> 12 [size =\"11288576\"]\n  10 [size=\"92516352\", alpha=\"0.14\", expect_size=\"46258176\"] \n  10 -> 13 [size =\"46258176\"]\n  11 [size=\"10534912\", alpha=\"0.07\", expect_size=\"5267456\"] \n  12 [size=\"88684544\", alpha=\"0.08\", expect_size=\"44342272\"] \n  12 -> 14 [size =\"44342272\"]\n  13 [size=\"75081728\", alpha=\"0.01\", expect_size=\"37540864\"] \n  13 -> 15 [size =\"37540864\"]\n  14 [size=\"52787200\", alpha=\"0.18\", expect_size=\"26393600\"] \n  14 -> 16 [size =\"26393600\"]\n  14 -> 17 [size =\"26393600\"]\n  15 [size=\"81045504\", alpha=\"0.18\", expect_size=\"40522752\"] \n  15 -> 18 [size =\"40522752\"]\n  16 [size=\"52885504\", alpha=\"0.00\", expect_size=\"26442752\"] \n  17 [size=\"88674304\", alpha=\"0.12\", expect_size=\"44337152\"] \n  17 -> 19 [size =\"44337152\"]\n  18 [size=\"30670848\", alpha=\"0.20\", expect_size=\"15335424\"] \n  19 [size=\"85200896\", alpha=\"0.14\", expect_size=\"42600448\"] \n  19 -> 20 [size =\"42600448\"]\n  19 -> 21 [size =\"42600448\"]\n  19 -> 22 [size =\"42600448\"]\n  20 [size=\"85282816\", alpha=\"0.15\", expect_size=\"42641408\"] \n  21 [size=\"55932928\", alpha=\"0.11\", expect_size=\"27966464\"] \n  21 -> 23 [size =\"27966464\"]\n  21 -> 24 [size =\"27966464\"]\n  22 [size=\"86736896\", alpha=\"0.00\", expect_size=\"43368448\"] \n  22 -> 23 [size =\"43368448\"]\n  23 [size=\"29732864\", alpha=\"0.15\", expect_size=\"14866432\"] \n  24 [size=\"34996224\", alpha=\"0.07\", expect_size=\"17498112\"] \n  24 -> 25 [size =\"17498112\"]\n  24 -> 26 [size =\"17498112\"]\n  24 -> 27 [size =\"17498112\"]\n  25 [size=\"25995264\", alpha=\"0.12\", expect_size=\"12997632\"] \n  26 [size=\"18626560\", alpha=\"0.01\", expect_size=\"9313280\"] \n  26 -> 28 [size =\"9313280\"]\n  27 [size=\"20127744\", alpha=\"0.01\", expect_size=\"10063872\"] \n  27 -> 28 [size =\"10063872\"]\n  28 [size=\"78929920\", alpha=\"0.03\", expect_size=\"39464960\"] \n  28 -> 29 [size =\"39464960\"]\n  28 -> 30 [size =\"39464960\"]\n  28 -> 31 [size =\"39464960\"]\n  29 [size=\"78772224\", alpha=\"0.08\", expect_size=\"39386112\"] \n  29 -> 32 [size =\"39386112\"]\n  29 -> 34 [size =\"39386112\"]\n  30 [size=\"50206720\", alpha=\"0.10\", expect_size=\"25103360\"] \n  31 [size=\"26896384\", alpha=\"0.12\", expect_size=\"13448192\"] \n  31 -> 32 [size =\"13448192\"]\n  31 -> 33 [size =\"13448192\"]\n  32 [size=\"79120384\", alpha=\"0.11\", expect_size=\"39560192\"] \n  32 -> 35 [size =\"39560192\"]\n  33 [size=\"80338944\", alpha=\"0.03\", expect_size=\"40169472\"] \n  33 -> 35 [size =\"40169472\"]\n  33 -> 36 [size =\"40169472\"]\n  34 [size=\"55642112\", alpha=\"0.05\", expect_size=\"27821056\"] \n  34 -> 36 [size =\"27821056\"]\n  35 [size=\"88842240\", alpha=\"0.01\", expect_size=\"44421120\"] \n  35 -> 37 [size =\"44421120\"]\n  36 [size=\"50345984\", alpha=\"0.06\", expect_size=\"25172992\"] \n  37 [size=\"55021568\", alpha=\"0.08\", expect_size=\"27510784\"] \n  37 -> 38 [size =\"27510784\"]\n  37 -> 39 [size =\"27510784\"]\n  38 [size=\"61323264\", alpha=\"0.14\", expect_size=\"30661632\"] \n  38 -> 40 [size =\"30661632\"]\n  39 [size=\"77631488\", alpha=\"0.16\", expect_size=\"38815744\"] \n  39 -> 41 [size =\"38815744\"]\n  40 [size=\"21671936\", alpha=\"0.14\", expect_size=\"10835968\"] \n  40 -> 43 [size =\"10835968\"]\n  41 [size=\"69844992\", alpha=\"0.01\", expect_size=\"34922496\"] \n  41 -> 42 [size =\"34922496\"]\n  41 -> 44 [size =\"34922496\"]\n  42 [size=\"33458176\", alpha=\"0.05\", expect_size=\"16729088\"] \n  43 [size=\"85082112\", alpha=\"0.12\", expect_size=\"42541056\"] \n  43 -> 45 [size =\"42541056\"]\n  44 [size=\"100571136\", alpha=\"0.05\", expect_size=\"50285568\"] \n  44 -> 45 [size =\"50285568\"]\n  44 -> 46 [size =\"50285568\"]\n  45 [size=\"27856896\", alpha=\"0.01\", expect_size=\"13928448\"] \n  45 -> 48 [size =\"13928448\"]\n  46 [size=\"31873024\", alpha=\"0.19\", expect_size=\"15936512\"] \n  46 -> 47 [size =\"15936512\"]\n  46 -> 49 [size =\"15936512\"]\n  47 [size=\"60645376\", alpha=\"0.19\", expect_size=\"30322688\"] \n  48 [size=\"97994752\", alpha=\"0.14\", expect_size=\"48997376\"] \n  48 -> 50 [size =\"48997376\"]\n  49 [size=\"69738496\", alpha=\"0.02\", expect_size=\"34869248\"] \n  50 [size=\"50587648\", alpha=\"0.20\", expect_size=\"25293824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.965.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98703360\", alpha=\"0.12\", expect_size=\"39481344\"] \n  1 -> 2 [size =\"39481344\"]\n  2 [size=\"56304640\", alpha=\"0.07\", expect_size=\"22521856\"] \n  2 -> 3 [size =\"22521856\"]\n  3 [size=\"127800320\", alpha=\"0.12\", expect_size=\"51120128\"] \n  3 -> 4 [size =\"51120128\"]\n  4 [size=\"120337920\", alpha=\"0.01\", expect_size=\"48135168\"] \n  4 -> 5 [size =\"48135168\"]\n  5 [size=\"34554880\", alpha=\"0.04\", expect_size=\"13821952\"] \n  5 -> 6 [size =\"13821952\"]\n  6 [size=\"110993920\", alpha=\"0.13\", expect_size=\"44397568\"] \n  6 -> 7 [size =\"44397568\"]\n  7 [size=\"46822400\", alpha=\"0.07\", expect_size=\"18728960\"] \n  7 -> 8 [size =\"18728960\"]\n  8 [size=\"42406400\", alpha=\"0.19\", expect_size=\"16962560\"] \n  8 -> 9 [size =\"16962560\"]\n  9 [size=\"17367040\", alpha=\"0.13\", expect_size=\"6946816\"] \n  9 -> 10 [size =\"6946816\"]\n  10 [size=\"104486400\", alpha=\"0.17\", expect_size=\"41794560\"] \n  10 -> 11 [size =\"41794560\"]\n  11 [size=\"87585280\", alpha=\"0.07\", expect_size=\"35034112\"] \n  11 -> 12 [size =\"35034112\"]\n  12 [size=\"38671360\", alpha=\"0.04\", expect_size=\"15468544\"] \n  12 -> 13 [size =\"15468544\"]\n  13 [size=\"81059840\", alpha=\"0.01\", expect_size=\"32423936\"] \n  13 -> 14 [size =\"32423936\"]\n  14 [size=\"32727040\", alpha=\"0.03\", expect_size=\"13090816\"] \n  14 -> 15 [size =\"13090816\"]\n  15 [size=\"40640000\", alpha=\"0.01\", expect_size=\"16256000\"] \n  15 -> 16 [size =\"16256000\"]\n  16 [size=\"62003200\", alpha=\"0.05\", expect_size=\"24801280\"] \n  16 -> 17 [size =\"24801280\"]\n  17 [size=\"18892800\", alpha=\"0.09\", expect_size=\"7557120\"] \n  17 -> 18 [size =\"7557120\"]\n  18 [size=\"62709760\", alpha=\"0.13\", expect_size=\"25083904\"] \n  18 -> 19 [size =\"25083904\"]\n  19 [size=\"54709760\", alpha=\"0.14\", expect_size=\"21883904\"] \n  19 -> 20 [size =\"21883904\"]\n  20 [size=\"14771200\", alpha=\"0.17\", expect_size=\"5908480\"] \n  20 -> 21 [size =\"5908480\"]\n  21 [size=\"113149440\", alpha=\"0.14\", expect_size=\"45259776\"] \n  21 -> 22 [size =\"45259776\"]\n  22 [size=\"34055680\", alpha=\"0.18\", expect_size=\"13622272\"] \n  22 -> 23 [size =\"13622272\"]\n  23 [size=\"56844800\", alpha=\"0.02\", expect_size=\"22737920\"] \n  23 -> 24 [size =\"22737920\"]\n  24 [size=\"60666880\", alpha=\"0.04\", expect_size=\"24266752\"] \n  24 -> 25 [size =\"24266752\"]\n  25 [size=\"77560320\", alpha=\"0.09\", expect_size=\"31024128\"] \n  25 -> 26 [size =\"31024128\"]\n  26 [size=\"82037760\", alpha=\"0.12\", expect_size=\"32815104\"] \n  26 -> 27 [size =\"32815104\"]\n  27 [size=\"111495680\", alpha=\"0.20\", expect_size=\"44598272\"] \n  27 -> 28 [size =\"44598272\"]\n  28 [size=\"45596160\", alpha=\"0.12\", expect_size=\"18238464\"] \n  28 -> 29 [size =\"18238464\"]\n  29 [size=\"121121280\", alpha=\"0.06\", expect_size=\"48448512\"] \n  29 -> 30 [size =\"48448512\"]\n  30 [size=\"87170560\", alpha=\"0.15\", expect_size=\"34868224\"] \n  30 -> 31 [size =\"34868224\"]\n  31 [size=\"68001280\", alpha=\"0.17\", expect_size=\"27200512\"] \n  31 -> 32 [size =\"27200512\"]\n  32 [size=\"31244800\", alpha=\"0.03\", expect_size=\"12497920\"] \n  32 -> 33 [size =\"12497920\"]\n  33 [size=\"20101120\", alpha=\"0.01\", expect_size=\"8040448\"] \n  33 -> 34 [size =\"8040448\"]\n  34 [size=\"31298560\", alpha=\"0.01\", expect_size=\"12519424\"] \n  34 -> 35 [size =\"12519424\"]\n  35 [size=\"54105600\", alpha=\"0.07\", expect_size=\"21642240\"] \n  35 -> 36 [size =\"21642240\"]\n  36 [size=\"109972480\", alpha=\"0.01\", expect_size=\"43988992\"] \n  36 -> 37 [size =\"43988992\"]\n  37 [size=\"60853760\", alpha=\"0.16\", expect_size=\"24341504\"] \n  37 -> 38 [size =\"24341504\"]\n  38 [size=\"58434560\", alpha=\"0.19\", expect_size=\"23373824\"] \n  38 -> 39 [size =\"23373824\"]\n  39 [size=\"14051840\", alpha=\"0.09\", expect_size=\"5620736\"] \n  39 -> 40 [size =\"5620736\"]\n  40 [size=\"49925120\", alpha=\"0.20\", expect_size=\"19970048\"] \n  40 -> 41 [size =\"19970048\"]\n  41 [size=\"21511680\", alpha=\"0.07\", expect_size=\"8604672\"] \n  41 -> 42 [size =\"8604672\"]\n  42 [size=\"121251840\", alpha=\"0.19\", expect_size=\"48500736\"] \n  42 -> 43 [size =\"48500736\"]\n  43 [size=\"20815360\", alpha=\"0.17\", expect_size=\"8326144\"] \n  43 -> 44 [size =\"8326144\"]\n  44 [size=\"24087040\", alpha=\"0.04\", expect_size=\"9634816\"] \n  44 -> 45 [size =\"9634816\"]\n  45 [size=\"32724480\", alpha=\"0.01\", expect_size=\"13089792\"] \n  45 -> 46 [size =\"13089792\"]\n  46 [size=\"74257920\", alpha=\"0.10\", expect_size=\"29703168\"] \n  46 -> 47 [size =\"29703168\"]\n  47 [size=\"79626240\", alpha=\"0.16\", expect_size=\"31850496\"] \n  47 -> 48 [size =\"31850496\"]\n  48 [size=\"54612480\", alpha=\"0.08\", expect_size=\"21844992\"] \n  48 -> 49 [size =\"21844992\"]\n  49 [size=\"48821760\", alpha=\"0.17\", expect_size=\"19528704\"] \n  49 -> 50 [size =\"19528704\"]\n  50 [size=\"103859200\", alpha=\"0.20\", expect_size=\"41543680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.966.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67648853\", alpha=\"0.12\", expect_size=\"20294656\"] \n  2 [size=\"129314133\", alpha=\"0.17\", expect_size=\"38794240\"] \n  2 -> 4 [size =\"38794240\"]\n  2 -> 5 [size =\"38794240\"]\n  3 [size=\"111045973\", alpha=\"0.17\", expect_size=\"33313792\"] \n  3 -> 4 [size =\"33313792\"]\n  4 [size=\"123774293\", alpha=\"0.04\", expect_size=\"37132288\"] \n  4 -> 6 [size =\"37132288\"]\n  5 [size=\"160774827\", alpha=\"0.12\", expect_size=\"48232448\"] \n  5 -> 7 [size =\"48232448\"]\n  6 [size=\"124968960\", alpha=\"0.17\", expect_size=\"37490688\"] \n  7 [size=\"28078080\", alpha=\"0.08\", expect_size=\"8423424\"] \n  7 -> 8 [size =\"8423424\"]\n  8 [size=\"127989760\", alpha=\"0.07\", expect_size=\"38396928\"] \n  8 -> 9 [size =\"38396928\"]\n  8 -> 10 [size =\"38396928\"]\n  9 [size=\"70888107\", alpha=\"0.07\", expect_size=\"21266432\"] \n  9 -> 11 [size =\"21266432\"]\n  9 -> 12 [size =\"21266432\"]\n  9 -> 13 [size =\"21266432\"]\n  10 [size=\"142342827\", alpha=\"0.07\", expect_size=\"42702848\"] \n  11 [size=\"134017707\", alpha=\"0.08\", expect_size=\"40205312\"] \n  11 -> 14 [size =\"40205312\"]\n  12 [size=\"68901547\", alpha=\"0.08\", expect_size=\"20670464\"] \n  13 [size=\"47895893\", alpha=\"0.10\", expect_size=\"14368768\"] \n  14 [size=\"26757120\", alpha=\"0.03\", expect_size=\"8027136\"] \n  14 -> 15 [size =\"8027136\"]\n  14 -> 16 [size =\"8027136\"]\n  15 [size=\"57958400\", alpha=\"0.16\", expect_size=\"17387520\"] \n  15 -> 17 [size =\"17387520\"]\n  15 -> 18 [size =\"17387520\"]\n  16 [size=\"151207253\", alpha=\"0.10\", expect_size=\"45362176\"] \n  17 [size=\"125713067\", alpha=\"0.17\", expect_size=\"37713920\"] \n  17 -> 19 [size =\"37713920\"]\n  17 -> 20 [size =\"37713920\"]\n  18 [size=\"27446613\", alpha=\"0.06\", expect_size=\"8233984\"] \n  18 -> 21 [size =\"8233984\"]\n  19 [size=\"80005120\", alpha=\"0.03\", expect_size=\"24001536\"] \n  20 [size=\"137472000\", alpha=\"0.19\", expect_size=\"41241600\"] \n  20 -> 22 [size =\"41241600\"]\n  20 -> 23 [size =\"41241600\"]\n  20 -> 24 [size =\"41241600\"]\n  21 [size=\"34778453\", alpha=\"0.02\", expect_size=\"10433536\"] \n  21 -> 22 [size =\"10433536\"]\n  21 -> 23 [size =\"10433536\"]\n  22 [size=\"94013440\", alpha=\"0.19\", expect_size=\"28204032\"] \n  22 -> 25 [size =\"28204032\"]\n  22 -> 27 [size =\"28204032\"]\n  23 [size=\"160324267\", alpha=\"0.07\", expect_size=\"48097280\"] \n  24 [size=\"84845227\", alpha=\"0.10\", expect_size=\"25453568\"] \n  24 -> 26 [size =\"25453568\"]\n  24 -> 27 [size =\"25453568\"]\n  25 [size=\"111121067\", alpha=\"0.10\", expect_size=\"33336320\"] \n  25 -> 28 [size =\"33336320\"]\n  26 [size=\"83432107\", alpha=\"0.04\", expect_size=\"25029632\"] \n  26 -> 28 [size =\"25029632\"]\n  27 [size=\"162757973\", alpha=\"0.20\", expect_size=\"48827392\"] \n  28 [size=\"139557547\", alpha=\"0.10\", expect_size=\"41867264\"] \n  28 -> 29 [size =\"41867264\"]\n  28 -> 30 [size =\"41867264\"]\n  28 -> 31 [size =\"41867264\"]\n  28 -> 32 [size =\"41867264\"]\n  29 [size=\"32382293\", alpha=\"0.06\", expect_size=\"9714688\"] \n  29 -> 34 [size =\"9714688\"]\n  30 [size=\"54801067\", alpha=\"0.18\", expect_size=\"16440320\"] \n  30 -> 35 [size =\"16440320\"]\n  31 [size=\"47936853\", alpha=\"0.05\", expect_size=\"14381056\"] \n  31 -> 33 [size =\"14381056\"]\n  31 -> 35 [size =\"14381056\"]\n  32 [size=\"61958827\", alpha=\"0.19\", expect_size=\"18587648\"] \n  32 -> 33 [size =\"18587648\"]\n  32 -> 34 [size =\"18587648\"]\n  33 [size=\"51421867\", alpha=\"0.16\", expect_size=\"15426560\"] \n  34 [size=\"109899093\", alpha=\"0.15\", expect_size=\"32969728\"] \n  34 -> 36 [size =\"32969728\"]\n  35 [size=\"29115733\", alpha=\"0.19\", expect_size=\"8734720\"] \n  35 -> 37 [size =\"8734720\"]\n  36 [size=\"109656747\", alpha=\"0.20\", expect_size=\"32897024\"] \n  37 [size=\"144448853\", alpha=\"0.14\", expect_size=\"43334656\"] \n  37 -> 38 [size =\"43334656\"]\n  38 [size=\"144090453\", alpha=\"0.10\", expect_size=\"43227136\"] \n  38 -> 39 [size =\"43227136\"]\n  38 -> 40 [size =\"43227136\"]\n  39 [size=\"61815467\", alpha=\"0.14\", expect_size=\"18544640\"] \n  39 -> 41 [size =\"18544640\"]\n  39 -> 43 [size =\"18544640\"]\n  40 [size=\"108322133\", alpha=\"0.13\", expect_size=\"32496640\"] \n  40 -> 42 [size =\"32496640\"]\n  40 -> 44 [size =\"32496640\"]\n  41 [size=\"93904213\", alpha=\"0.14\", expect_size=\"28171264\"] \n  41 -> 45 [size =\"28171264\"]\n  41 -> 48 [size =\"28171264\"]\n  42 [size=\"135103147\", alpha=\"0.05\", expect_size=\"40530944\"] \n  42 -> 46 [size =\"40530944\"]\n  43 [size=\"126064640\", alpha=\"0.14\", expect_size=\"37819392\"] \n  43 -> 45 [size =\"37819392\"]\n  43 -> 47 [size =\"37819392\"]\n  43 -> 48 [size =\"37819392\"]\n  44 [size=\"97211733\", alpha=\"0.12\", expect_size=\"29163520\"] \n  45 [size=\"57821867\", alpha=\"0.02\", expect_size=\"17346560\"] \n  46 [size=\"48384000\", alpha=\"0.20\", expect_size=\"14515200\"] \n  46 -> 49 [size =\"14515200\"]\n  47 [size=\"45346133\", alpha=\"0.16\", expect_size=\"13603840\"] \n  47 -> 50 [size =\"13603840\"]\n  48 [size=\"156951893\", alpha=\"0.08\", expect_size=\"47085568\"] \n  48 -> 50 [size =\"47085568\"]\n  49 [size=\"78592000\", alpha=\"0.02\", expect_size=\"23577600\"] \n  50 [size=\"30088533\", alpha=\"0.01\", expect_size=\"9026560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.967.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"150097920\", alpha=\"0.05\", expect_size=\"45029376\"] \n  1 -> 43 [size =\"45029376\"]\n  1 -> 45 [size =\"45029376\"]\n  1 -> 46 [size =\"45029376\"]\n  1 -> 47 [size =\"45029376\"]\n  1 -> 48 [size =\"45029376\"]\n  1 -> 49 [size =\"45029376\"]\n  2 [size=\"51623253\", alpha=\"0.07\", expect_size=\"15486976\"] \n  2 -> 44 [size =\"15486976\"]\n  2 -> 45 [size =\"15486976\"]\n  2 -> 46 [size =\"15486976\"]\n  2 -> 47 [size =\"15486976\"]\n  2 -> 49 [size =\"15486976\"]\n  3 [size=\"174537387\", alpha=\"0.01\", expect_size=\"52361216\"] \n  3 -> 42 [size =\"52361216\"]\n  3 -> 47 [size =\"52361216\"]\n  3 -> 48 [size =\"52361216\"]\n  3 -> 49 [size =\"52361216\"]\n  4 [size=\"168983893\", alpha=\"0.11\", expect_size=\"50695168\"] \n  4 -> 43 [size =\"50695168\"]\n  4 -> 45 [size =\"50695168\"]\n  4 -> 47 [size =\"50695168\"]\n  4 -> 48 [size =\"50695168\"]\n  4 -> 49 [size =\"50695168\"]\n  4 -> 50 [size =\"50695168\"]\n  5 [size=\"115807573\", alpha=\"0.08\", expect_size=\"34742272\"] \n  5 -> 43 [size =\"34742272\"]\n  5 -> 47 [size =\"34742272\"]\n  6 [size=\"172984320\", alpha=\"0.16\", expect_size=\"51895296\"] \n  6 -> 42 [size =\"51895296\"]\n  6 -> 44 [size =\"51895296\"]\n  6 -> 46 [size =\"51895296\"]\n  6 -> 47 [size =\"51895296\"]\n  7 [size=\"33000107\", alpha=\"0.19\", expect_size=\"9900032\"] \n  7 -> 42 [size =\"9900032\"]\n  7 -> 44 [size =\"9900032\"]\n  7 -> 46 [size =\"9900032\"]\n  7 -> 47 [size =\"9900032\"]\n  7 -> 48 [size =\"9900032\"]\n  7 -> 49 [size =\"9900032\"]\n  8 [size=\"70386347\", alpha=\"0.00\", expect_size=\"21115904\"] \n  8 -> 43 [size =\"21115904\"]\n  8 -> 45 [size =\"21115904\"]\n  8 -> 46 [size =\"21115904\"]\n  8 -> 47 [size =\"21115904\"]\n  8 -> 49 [size =\"21115904\"]\n  9 [size=\"63969280\", alpha=\"0.16\", expect_size=\"19190784\"] \n  9 -> 43 [size =\"19190784\"]\n  9 -> 45 [size =\"19190784\"]\n  9 -> 47 [size =\"19190784\"]\n  9 -> 47 [size =\"19190784\"]\n  9 -> 48 [size =\"19190784\"]\n  9 -> 49 [size =\"19190784\"]\n  10 [size=\"18210133\", alpha=\"0.11\", expect_size=\"5463040\"] \n  10 -> 43 [size =\"5463040\"]\n  10 -> 44 [size =\"5463040\"]\n  10 -> 45 [size =\"5463040\"]\n  10 -> 47 [size =\"5463040\"]\n  10 -> 49 [size =\"5463040\"]\n  11 [size=\"43537067\", alpha=\"0.14\", expect_size=\"13061120\"] \n  11 -> 43 [size =\"13061120\"]\n  11 -> 44 [size =\"13061120\"]\n  11 -> 46 [size =\"13061120\"]\n  11 -> 47 [size =\"13061120\"]\n  11 -> 49 [size =\"13061120\"]\n  12 [size=\"85234347\", alpha=\"0.09\", expect_size=\"25570304\"] \n  12 -> 46 [size =\"25570304\"]\n  12 -> 49 [size =\"25570304\"]\n  13 [size=\"138431147\", alpha=\"0.16\", expect_size=\"41529344\"] \n  13 -> 42 [size =\"41529344\"]\n  13 -> 43 [size =\"41529344\"]\n  13 -> 48 [size =\"41529344\"]\n  14 [size=\"147869013\", alpha=\"0.15\", expect_size=\"44360704\"] \n  14 -> 43 [size =\"44360704\"]\n  14 -> 45 [size =\"44360704\"]\n  14 -> 46 [size =\"44360704\"]\n  14 -> 47 [size =\"44360704\"]\n  14 -> 49 [size =\"44360704\"]\n  15 [size=\"79779840\", alpha=\"0.10\", expect_size=\"23933952\"] \n  15 -> 42 [size =\"23933952\"]\n  15 -> 43 [size =\"23933952\"]\n  15 -> 44 [size =\"23933952\"]\n  15 -> 47 [size =\"23933952\"]\n  15 -> 49 [size =\"23933952\"]\n  16 [size=\"142694400\", alpha=\"0.18\", expect_size=\"42808320\"] \n  16 -> 42 [size =\"42808320\"]\n  16 -> 43 [size =\"42808320\"]\n  16 -> 44 [size =\"42808320\"]\n  16 -> 46 [size =\"42808320\"]\n  16 -> 48 [size =\"42808320\"]\n  16 -> 49 [size =\"42808320\"]\n  17 [size=\"113165653\", alpha=\"0.17\", expect_size=\"33949696\"] \n  17 -> 42 [size =\"33949696\"]\n  17 -> 43 [size =\"33949696\"]\n  17 -> 49 [size =\"33949696\"]\n  17 -> 50 [size =\"33949696\"]\n  18 [size=\"104277333\", alpha=\"0.00\", expect_size=\"31283200\"] \n  18 -> 43 [size =\"31283200\"]\n  18 -> 46 [size =\"31283200\"]\n  18 -> 47 [size =\"31283200\"]\n  18 -> 49 [size =\"31283200\"]\n  19 [size=\"106451627\", alpha=\"0.00\", expect_size=\"31935488\"] \n  19 -> 43 [size =\"31935488\"]\n  19 -> 44 [size =\"31935488\"]\n  19 -> 45 [size =\"31935488\"]\n  19 -> 47 [size =\"31935488\"]\n  19 -> 48 [size =\"31935488\"]\n  19 -> 49 [size =\"31935488\"]\n  20 [size=\"74362880\", alpha=\"0.09\", expect_size=\"22308864\"] \n  20 -> 42 [size =\"22308864\"]\n  20 -> 43 [size =\"22308864\"]\n  20 -> 44 [size =\"22308864\"]\n  20 -> 45 [size =\"22308864\"]\n  20 -> 47 [size =\"22308864\"]\n  20 -> 48 [size =\"22308864\"]\n  21 [size=\"163027627\", alpha=\"0.14\", expect_size=\"48908288\"] \n  21 -> 43 [size =\"48908288\"]\n  21 -> 43 [size =\"48908288\"]\n  21 -> 44 [size =\"48908288\"]\n  21 -> 46 [size =\"48908288\"]\n  21 -> 47 [size =\"48908288\"]\n  21 -> 48 [size =\"48908288\"]\n  21 -> 49 [size =\"48908288\"]\n  22 [size=\"118528000\", alpha=\"0.04\", expect_size=\"35558400\"] \n  22 -> 43 [size =\"35558400\"]\n  22 -> 44 [size =\"35558400\"]\n  22 -> 46 [size =\"35558400\"]\n  22 -> 47 [size =\"35558400\"]\n  22 -> 47 [size =\"35558400\"]\n  23 [size=\"34587307\", alpha=\"0.13\", expect_size=\"10376192\"] \n  23 -> 42 [size =\"10376192\"]\n  23 -> 43 [size =\"10376192\"]\n  23 -> 46 [size =\"10376192\"]\n  23 -> 47 [size =\"10376192\"]\n  23 -> 48 [size =\"10376192\"]\n  24 [size=\"161669120\", alpha=\"0.02\", expect_size=\"48500736\"] \n  24 -> 43 [size =\"48500736\"]\n  24 -> 43 [size =\"48500736\"]\n  24 -> 47 [size =\"48500736\"]\n  24 -> 47 [size =\"48500736\"]\n  24 -> 48 [size =\"48500736\"]\n  25 [size=\"119814827\", alpha=\"0.04\", expect_size=\"35944448\"] \n  25 -> 43 [size =\"35944448\"]\n  25 -> 46 [size =\"35944448\"]\n  25 -> 47 [size =\"35944448\"]\n  25 -> 48 [size =\"35944448\"]\n  25 -> 48 [size =\"35944448\"]\n  25 -> 49 [size =\"35944448\"]\n  25 -> 50 [size =\"35944448\"]\n  26 [size=\"43919360\", alpha=\"0.05\", expect_size=\"13175808\"] \n  26 -> 43 [size =\"13175808\"]\n  26 -> 44 [size =\"13175808\"]\n  26 -> 45 [size =\"13175808\"]\n  26 -> 46 [size =\"13175808\"]\n  26 -> 47 [size =\"13175808\"]\n  26 -> 48 [size =\"13175808\"]\n  26 -> 49 [size =\"13175808\"]\n  26 -> 50 [size =\"13175808\"]\n  27 [size=\"28426240\", alpha=\"0.08\", expect_size=\"8527872\"] \n  27 -> 43 [size =\"8527872\"]\n  27 -> 45 [size =\"8527872\"]\n  27 -> 48 [size =\"8527872\"]\n  27 -> 49 [size =\"8527872\"]\n  27 -> 50 [size =\"8527872\"]\n  28 [size=\"160266240\", alpha=\"0.18\", expect_size=\"48079872\"] \n  28 -> 43 [size =\"48079872\"]\n  28 -> 44 [size =\"48079872\"]\n  28 -> 48 [size =\"48079872\"]\n  28 -> 49 [size =\"48079872\"]\n  28 -> 50 [size =\"48079872\"]\n  29 [size=\"163328000\", alpha=\"0.14\", expect_size=\"48998400\"] \n  29 -> 42 [size =\"48998400\"]\n  29 -> 43 [size =\"48998400\"]\n  29 -> 44 [size =\"48998400\"]\n  29 -> 47 [size =\"48998400\"]\n  29 -> 48 [size =\"48998400\"]\n  29 -> 49 [size =\"48998400\"]\n  29 -> 50 [size =\"48998400\"]\n  30 [size=\"166222507\", alpha=\"0.10\", expect_size=\"49866752\"] \n  30 -> 43 [size =\"49866752\"]\n  30 -> 43 [size =\"49866752\"]\n  30 -> 44 [size =\"49866752\"]\n  30 -> 47 [size =\"49866752\"]\n  30 -> 48 [size =\"49866752\"]\n  30 -> 49 [size =\"49866752\"]\n  31 [size=\"78400853\", alpha=\"0.09\", expect_size=\"23520256\"] \n  31 -> 42 [size =\"23520256\"]\n  31 -> 44 [size =\"23520256\"]\n  31 -> 45 [size =\"23520256\"]\n  31 -> 47 [size =\"23520256\"]\n  31 -> 48 [size =\"23520256\"]\n  32 [size=\"32484693\", alpha=\"0.17\", expect_size=\"9745408\"] \n  32 -> 44 [size =\"9745408\"]\n  32 -> 47 [size =\"9745408\"]\n  32 -> 48 [size =\"9745408\"]\n  32 -> 50 [size =\"9745408\"]\n  33 [size=\"62617600\", alpha=\"0.20\", expect_size=\"18785280\"] \n  33 -> 47 [size =\"18785280\"]\n  33 -> 48 [size =\"18785280\"]\n  33 -> 48 [size =\"18785280\"]\n  34 [size=\"168584533\", alpha=\"0.20\", expect_size=\"50575360\"] \n  34 -> 42 [size =\"50575360\"]\n  34 -> 43 [size =\"50575360\"]\n  34 -> 44 [size =\"50575360\"]\n  34 -> 46 [size =\"50575360\"]\n  34 -> 47 [size =\"50575360\"]\n  34 -> 49 [size =\"50575360\"]\n  34 -> 50 [size =\"50575360\"]\n  35 [size=\"30033920\", alpha=\"0.07\", expect_size=\"9010176\"] \n  35 -> 43 [size =\"9010176\"]\n  35 -> 44 [size =\"9010176\"]\n  35 -> 45 [size =\"9010176\"]\n  35 -> 46 [size =\"9010176\"]\n  36 [size=\"59869867\", alpha=\"0.11\", expect_size=\"17960960\"] \n  36 -> 42 [size =\"17960960\"]\n  36 -> 46 [size =\"17960960\"]\n  36 -> 48 [size =\"17960960\"]\n  36 -> 49 [size =\"17960960\"]\n  37 [size=\"99024213\", alpha=\"0.07\", expect_size=\"29707264\"] \n  37 -> 43 [size =\"29707264\"]\n  37 -> 45 [size =\"29707264\"]\n  37 -> 48 [size =\"29707264\"]\n  38 [size=\"163031040\", alpha=\"0.14\", expect_size=\"48909312\"] \n  38 -> 42 [size =\"48909312\"]\n  38 -> 43 [size =\"48909312\"]\n  38 -> 45 [size =\"48909312\"]\n  38 -> 46 [size =\"48909312\"]\n  39 [size=\"147507200\", alpha=\"0.12\", expect_size=\"44252160\"] \n  39 -> 42 [size =\"44252160\"]\n  39 -> 43 [size =\"44252160\"]\n  39 -> 45 [size =\"44252160\"]\n  39 -> 46 [size =\"44252160\"]\n  39 -> 48 [size =\"44252160\"]\n  40 [size=\"98952533\", alpha=\"0.17\", expect_size=\"29685760\"] \n  40 -> 46 [size =\"29685760\"]\n  40 -> 47 [size =\"29685760\"]\n  41 [size=\"18100907\", alpha=\"0.01\", expect_size=\"5430272\"] \n  41 -> 43 [size =\"5430272\"]\n  41 -> 45 [size =\"5430272\"]\n  41 -> 46 [size =\"5430272\"]\n  41 -> 47 [size =\"5430272\"]\n  41 -> 48 [size =\"5430272\"]\n  41 -> 49 [size =\"5430272\"]\n  41 -> 50 [size =\"5430272\"]\n  42 [size=\"88302933\", alpha=\"0.18\", expect_size=\"26490880\"] \n  43 [size=\"62743893\", alpha=\"0.17\", expect_size=\"18823168\"] \n  44 [size=\"62382080\", alpha=\"0.14\", expect_size=\"18714624\"] \n  45 [size=\"60323840\", alpha=\"0.04\", expect_size=\"18097152\"] \n  46 [size=\"118879573\", alpha=\"0.18\", expect_size=\"35663872\"] \n  47 [size=\"48687787\", alpha=\"0.13\", expect_size=\"14606336\"] \n  48 [size=\"102727680\", alpha=\"0.06\", expect_size=\"30818304\"] \n  49 [size=\"53230933\", alpha=\"0.18\", expect_size=\"15969280\"] \n  50 [size=\"146459307\", alpha=\"0.08\", expect_size=\"43937792\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.968.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14776320\", alpha=\"0.02\", expect_size=\"7388160\"] \n  1 -> 5 [size =\"7388160\"]\n  1 -> 6 [size =\"7388160\"]\n  2 [size=\"23810048\", alpha=\"0.14\", expect_size=\"11905024\"] \n  2 -> 5 [size =\"11905024\"]\n  3 [size=\"94599168\", alpha=\"0.03\", expect_size=\"47299584\"] \n  3 -> 5 [size =\"47299584\"]\n  3 -> 6 [size =\"47299584\"]\n  4 [size=\"25341952\", alpha=\"0.13\", expect_size=\"12670976\"] \n  4 -> 5 [size =\"12670976\"]\n  4 -> 6 [size =\"12670976\"]\n  5 [size=\"67764224\", alpha=\"0.15\", expect_size=\"33882112\"] \n  5 -> 7 [size =\"33882112\"]\n  5 -> 8 [size =\"33882112\"]\n  6 [size=\"35686400\", alpha=\"0.04\", expect_size=\"17843200\"] \n  6 -> 7 [size =\"17843200\"]\n  6 -> 8 [size =\"17843200\"]\n  7 [size=\"93374464\", alpha=\"0.15\", expect_size=\"46687232\"] \n  7 -> 9 [size =\"46687232\"]\n  7 -> 10 [size =\"46687232\"]\n  8 [size=\"26302464\", alpha=\"0.19\", expect_size=\"13151232\"] \n  8 -> 9 [size =\"13151232\"]\n  8 -> 10 [size =\"13151232\"]\n  9 [size=\"36794368\", alpha=\"0.14\", expect_size=\"18397184\"] \n  9 -> 11 [size =\"18397184\"]\n  10 [size=\"85929984\", alpha=\"0.17\", expect_size=\"42964992\"] \n  10 -> 11 [size =\"42964992\"]\n  11 [size=\"62113792\", alpha=\"0.14\", expect_size=\"31056896\"] \n  11 -> 12 [size =\"31056896\"]\n  11 -> 13 [size =\"31056896\"]\n  11 -> 14 [size =\"31056896\"]\n  12 [size=\"70012928\", alpha=\"0.13\", expect_size=\"35006464\"] \n  12 -> 15 [size =\"35006464\"]\n  12 -> 16 [size =\"35006464\"]\n  13 [size=\"43696128\", alpha=\"0.03\", expect_size=\"21848064\"] \n  13 -> 15 [size =\"21848064\"]\n  13 -> 16 [size =\"21848064\"]\n  14 [size=\"56856576\", alpha=\"0.12\", expect_size=\"28428288\"] \n  14 -> 15 [size =\"28428288\"]\n  14 -> 16 [size =\"28428288\"]\n  15 [size=\"21729280\", alpha=\"0.08\", expect_size=\"10864640\"] \n  15 -> 17 [size =\"10864640\"]\n  15 -> 18 [size =\"10864640\"]\n  16 [size=\"93661184\", alpha=\"0.12\", expect_size=\"46830592\"] \n  16 -> 17 [size =\"46830592\"]\n  16 -> 18 [size =\"46830592\"]\n  17 [size=\"17387520\", alpha=\"0.07\", expect_size=\"8693760\"] \n  17 -> 19 [size =\"8693760\"]\n  17 -> 20 [size =\"8693760\"]\n  17 -> 21 [size =\"8693760\"]\n  18 [size=\"90251264\", alpha=\"0.16\", expect_size=\"45125632\"] \n  18 -> 20 [size =\"45125632\"]\n  19 [size=\"84979712\", alpha=\"0.20\", expect_size=\"42489856\"] \n  19 -> 22 [size =\"42489856\"]\n  19 -> 24 [size =\"42489856\"]\n  20 [size=\"57499648\", alpha=\"0.19\", expect_size=\"28749824\"] \n  20 -> 22 [size =\"28749824\"]\n  20 -> 24 [size =\"28749824\"]\n  21 [size=\"42979328\", alpha=\"0.18\", expect_size=\"21489664\"] \n  21 -> 22 [size =\"21489664\"]\n  21 -> 23 [size =\"21489664\"]\n  21 -> 24 [size =\"21489664\"]\n  22 [size=\"14348288\", alpha=\"0.01\", expect_size=\"7174144\"] \n  22 -> 25 [size =\"7174144\"]\n  22 -> 26 [size =\"7174144\"]\n  22 -> 27 [size =\"7174144\"]\n  23 [size=\"77600768\", alpha=\"0.01\", expect_size=\"38800384\"] \n  23 -> 26 [size =\"38800384\"]\n  23 -> 27 [size =\"38800384\"]\n  24 [size=\"91979776\", alpha=\"0.05\", expect_size=\"45989888\"] \n  24 -> 25 [size =\"45989888\"]\n  24 -> 26 [size =\"45989888\"]\n  24 -> 27 [size =\"45989888\"]\n  25 [size=\"55992320\", alpha=\"0.01\", expect_size=\"27996160\"] \n  25 -> 28 [size =\"27996160\"]\n  25 -> 29 [size =\"27996160\"]\n  26 [size=\"91682816\", alpha=\"0.02\", expect_size=\"45841408\"] \n  26 -> 29 [size =\"45841408\"]\n  27 [size=\"54749184\", alpha=\"0.00\", expect_size=\"27374592\"] \n  27 -> 28 [size =\"27374592\"]\n  27 -> 29 [size =\"27374592\"]\n  28 [size=\"87746560\", alpha=\"0.02\", expect_size=\"43873280\"] \n  28 -> 30 [size =\"43873280\"]\n  28 -> 31 [size =\"43873280\"]\n  28 -> 32 [size =\"43873280\"]\n  29 [size=\"70651904\", alpha=\"0.10\", expect_size=\"35325952\"] \n  29 -> 30 [size =\"35325952\"]\n  29 -> 31 [size =\"35325952\"]\n  29 -> 32 [size =\"35325952\"]\n  30 [size=\"69769216\", alpha=\"0.13\", expect_size=\"34884608\"] \n  31 [size=\"63432704\", alpha=\"0.08\", expect_size=\"31716352\"] \n  31 -> 33 [size =\"31716352\"]\n  31 -> 34 [size =\"31716352\"]\n  32 [size=\"55934976\", alpha=\"0.15\", expect_size=\"27967488\"] \n  32 -> 33 [size =\"27967488\"]\n  32 -> 34 [size =\"27967488\"]\n  33 [size=\"60600320\", alpha=\"0.09\", expect_size=\"30300160\"] \n  33 -> 35 [size =\"30300160\"]\n  34 [size=\"67170304\", alpha=\"0.13\", expect_size=\"33585152\"] \n  35 [size=\"90507264\", alpha=\"0.19\", expect_size=\"45253632\"] \n  35 -> 36 [size =\"45253632\"]\n  35 -> 37 [size =\"45253632\"]\n  35 -> 38 [size =\"45253632\"]\n  36 [size=\"93513728\", alpha=\"0.03\", expect_size=\"46756864\"] \n  36 -> 39 [size =\"46756864\"]\n  36 -> 40 [size =\"46756864\"]\n  37 [size=\"101394432\", alpha=\"0.09\", expect_size=\"50697216\"] \n  37 -> 40 [size =\"50697216\"]\n  38 [size=\"102664192\", alpha=\"0.11\", expect_size=\"51332096\"] \n  38 -> 40 [size =\"51332096\"]\n  38 -> 41 [size =\"51332096\"]\n  39 [size=\"18774016\", alpha=\"0.09\", expect_size=\"9387008\"] \n  39 -> 44 [size =\"9387008\"]\n  40 [size=\"64772096\", alpha=\"0.17\", expect_size=\"32386048\"] \n  40 -> 42 [size =\"32386048\"]\n  40 -> 43 [size =\"32386048\"]\n  41 [size=\"32989184\", alpha=\"0.12\", expect_size=\"16494592\"] \n  41 -> 44 [size =\"16494592\"]\n  42 [size=\"69427200\", alpha=\"0.08\", expect_size=\"34713600\"] \n  42 -> 45 [size =\"34713600\"]\n  42 -> 47 [size =\"34713600\"]\n  43 [size=\"44867584\", alpha=\"0.18\", expect_size=\"22433792\"] \n  43 -> 46 [size =\"22433792\"]\n  44 [size=\"86894592\", alpha=\"0.05\", expect_size=\"43447296\"] \n  44 -> 46 [size =\"43447296\"]\n  44 -> 47 [size =\"43447296\"]\n  45 [size=\"53135360\", alpha=\"0.02\", expect_size=\"26567680\"] \n  46 [size=\"49209344\", alpha=\"0.16\", expect_size=\"24604672\"] \n  46 -> 48 [size =\"24604672\"]\n  47 [size=\"63916032\", alpha=\"0.20\", expect_size=\"31958016\"] \n  48 [size=\"104161280\", alpha=\"0.19\", expect_size=\"52080640\"] \n  48 -> 49 [size =\"52080640\"]\n  48 -> 50 [size =\"52080640\"]\n  49 [size=\"60966912\", alpha=\"0.12\", expect_size=\"30483456\"] \n  50 [size=\"103200768\", alpha=\"0.17\", expect_size=\"51600384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.969.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"10975232\", alpha=\"0.14\", expect_size=\"5487616\"] \n  1 -> 21 [size =\"5487616\"]\n  1 -> 28 [size =\"5487616\"]\n  1 -> 29 [size =\"5487616\"]\n  2 [size=\"59848704\", alpha=\"0.14\", expect_size=\"29924352\"] \n  2 -> 21 [size =\"29924352\"]\n  2 -> 24 [size =\"29924352\"]\n  2 -> 29 [size =\"29924352\"]\n  2 -> 30 [size =\"29924352\"]\n  3 [size=\"20264960\", alpha=\"0.11\", expect_size=\"10132480\"] \n  3 -> 19 [size =\"10132480\"]\n  3 -> 26 [size =\"10132480\"]\n  3 -> 27 [size =\"10132480\"]\n  4 [size=\"84195328\", alpha=\"0.13\", expect_size=\"42097664\"] \n  4 -> 19 [size =\"42097664\"]\n  4 -> 24 [size =\"42097664\"]\n  5 [size=\"23197696\", alpha=\"0.03\", expect_size=\"11598848\"] \n  5 -> 20 [size =\"11598848\"]\n  5 -> 21 [size =\"11598848\"]\n  5 -> 22 [size =\"11598848\"]\n  5 -> 28 [size =\"11598848\"]\n  6 [size=\"54798336\", alpha=\"0.13\", expect_size=\"27399168\"] \n  6 -> 16 [size =\"27399168\"]\n  6 -> 18 [size =\"27399168\"]\n  6 -> 19 [size =\"27399168\"]\n  6 -> 21 [size =\"27399168\"]\n  6 -> 22 [size =\"27399168\"]\n  6 -> 26 [size =\"27399168\"]\n  6 -> 29 [size =\"27399168\"]\n  7 [size=\"35651584\", alpha=\"0.12\", expect_size=\"17825792\"] \n  7 -> 16 [size =\"17825792\"]\n  7 -> 20 [size =\"17825792\"]\n  7 -> 23 [size =\"17825792\"]\n  7 -> 24 [size =\"17825792\"]\n  7 -> 29 [size =\"17825792\"]\n  8 [size=\"99692544\", alpha=\"0.06\", expect_size=\"49846272\"] \n  8 -> 23 [size =\"49846272\"]\n  9 [size=\"74946560\", alpha=\"0.18\", expect_size=\"37473280\"] \n  9 -> 23 [size =\"37473280\"]\n  9 -> 24 [size =\"37473280\"]\n  9 -> 28 [size =\"37473280\"]\n  10 [size=\"47042560\", alpha=\"0.19\", expect_size=\"23521280\"] \n  10 -> 22 [size =\"23521280\"]\n  10 -> 28 [size =\"23521280\"]\n  10 -> 28 [size =\"23521280\"]\n  10 -> 29 [size =\"23521280\"]\n  10 -> 30 [size =\"23521280\"]\n  11 [size=\"41134080\", alpha=\"0.01\", expect_size=\"20567040\"] \n  11 -> 19 [size =\"20567040\"]\n  11 -> 26 [size =\"20567040\"]\n  12 [size=\"12597248\", alpha=\"0.06\", expect_size=\"6298624\"] \n  12 -> 16 [size =\"6298624\"]\n  12 -> 17 [size =\"6298624\"]\n  12 -> 18 [size =\"6298624\"]\n  12 -> 19 [size =\"6298624\"]\n  12 -> 23 [size =\"6298624\"]\n  12 -> 26 [size =\"6298624\"]\n  13 [size=\"77275136\", alpha=\"0.08\", expect_size=\"38637568\"] \n  13 -> 17 [size =\"38637568\"]\n  13 -> 18 [size =\"38637568\"]\n  13 -> 19 [size =\"38637568\"]\n  13 -> 25 [size =\"38637568\"]\n  13 -> 26 [size =\"38637568\"]\n  13 -> 28 [size =\"38637568\"]\n  14 [size=\"33591296\", alpha=\"0.10\", expect_size=\"16795648\"] \n  14 -> 17 [size =\"16795648\"]\n  14 -> 30 [size =\"16795648\"]\n  15 [size=\"92964864\", alpha=\"0.01\", expect_size=\"46482432\"] \n  15 -> 17 [size =\"46482432\"]\n  15 -> 19 [size =\"46482432\"]\n  15 -> 21 [size =\"46482432\"]\n  15 -> 25 [size =\"46482432\"]\n  15 -> 26 [size =\"46482432\"]\n  15 -> 28 [size =\"46482432\"]\n  15 -> 30 [size =\"46482432\"]\n  16 [size=\"14200832\", alpha=\"0.19\", expect_size=\"7100416\"] \n  16 -> 31 [size =\"7100416\"]\n  16 -> 33 [size =\"7100416\"]\n  16 -> 34 [size =\"7100416\"]\n  16 -> 35 [size =\"7100416\"]\n  16 -> 42 [size =\"7100416\"]\n  17 [size=\"76843008\", alpha=\"0.06\", expect_size=\"38421504\"] \n  17 -> 37 [size =\"38421504\"]\n  17 -> 39 [size =\"38421504\"]\n  18 [size=\"40200192\", alpha=\"0.09\", expect_size=\"20100096\"] \n  18 -> 34 [size =\"20100096\"]\n  18 -> 35 [size =\"20100096\"]\n  18 -> 42 [size =\"20100096\"]\n  19 [size=\"68063232\", alpha=\"0.04\", expect_size=\"34031616\"] \n  19 -> 32 [size =\"34031616\"]\n  19 -> 34 [size =\"34031616\"]\n  19 -> 35 [size =\"34031616\"]\n  19 -> 37 [size =\"34031616\"]\n  20 [size=\"59029504\", alpha=\"0.16\", expect_size=\"29514752\"] \n  20 -> 32 [size =\"29514752\"]\n  20 -> 37 [size =\"29514752\"]\n  20 -> 40 [size =\"29514752\"]\n  20 -> 42 [size =\"29514752\"]\n  20 -> 43 [size =\"29514752\"]\n  21 [size=\"55353344\", alpha=\"0.08\", expect_size=\"27676672\"] \n  21 -> 32 [size =\"27676672\"]\n  21 -> 35 [size =\"27676672\"]\n  21 -> 37 [size =\"27676672\"]\n  21 -> 40 [size =\"27676672\"]\n  22 [size=\"61491200\", alpha=\"0.10\", expect_size=\"30745600\"] \n  22 -> 32 [size =\"30745600\"]\n  22 -> 34 [size =\"30745600\"]\n  22 -> 37 [size =\"30745600\"]\n  22 -> 40 [size =\"30745600\"]\n  23 [size=\"88852480\", alpha=\"0.15\", expect_size=\"44426240\"] \n  23 -> 31 [size =\"44426240\"]\n  23 -> 32 [size =\"44426240\"]\n  23 -> 34 [size =\"44426240\"]\n  23 -> 40 [size =\"44426240\"]\n  23 -> 42 [size =\"44426240\"]\n  24 [size=\"32798720\", alpha=\"0.15\", expect_size=\"16399360\"] \n  24 -> 31 [size =\"16399360\"]\n  24 -> 43 [size =\"16399360\"]\n  25 [size=\"80357376\", alpha=\"0.18\", expect_size=\"40178688\"] \n  25 -> 31 [size =\"40178688\"]\n  25 -> 33 [size =\"40178688\"]\n  25 -> 34 [size =\"40178688\"]\n  25 -> 36 [size =\"40178688\"]\n  25 -> 43 [size =\"40178688\"]\n  26 [size=\"85772288\", alpha=\"0.10\", expect_size=\"42886144\"] \n  26 -> 31 [size =\"42886144\"]\n  26 -> 32 [size =\"42886144\"]\n  26 -> 34 [size =\"42886144\"]\n  26 -> 37 [size =\"42886144\"]\n  26 -> 41 [size =\"42886144\"]\n  27 [size=\"81502208\", alpha=\"0.08\", expect_size=\"40751104\"] \n  27 -> 31 [size =\"40751104\"]\n  27 -> 32 [size =\"40751104\"]\n  27 -> 33 [size =\"40751104\"]\n  27 -> 37 [size =\"40751104\"]\n  27 -> 40 [size =\"40751104\"]\n  27 -> 43 [size =\"40751104\"]\n  28 [size=\"14196736\", alpha=\"0.04\", expect_size=\"7098368\"] \n  28 -> 34 [size =\"7098368\"]\n  28 -> 38 [size =\"7098368\"]\n  28 -> 42 [size =\"7098368\"]\n  28 -> 43 [size =\"7098368\"]\n  29 [size=\"55240704\", alpha=\"0.14\", expect_size=\"27620352\"] \n  29 -> 31 [size =\"27620352\"]\n  29 -> 35 [size =\"27620352\"]\n  29 -> 42 [size =\"27620352\"]\n  29 -> 43 [size =\"27620352\"]\n  30 [size=\"75169792\", alpha=\"0.12\", expect_size=\"37584896\"] \n  30 -> 31 [size =\"37584896\"]\n  30 -> 32 [size =\"37584896\"]\n  30 -> 39 [size =\"37584896\"]\n  30 -> 40 [size =\"37584896\"]\n  30 -> 42 [size =\"37584896\"]\n  30 -> 43 [size =\"37584896\"]\n  31 [size=\"56680448\", alpha=\"0.16\", expect_size=\"28340224\"] \n  31 -> 50 [size =\"28340224\"]\n  32 [size=\"94633984\", alpha=\"0.01\", expect_size=\"47316992\"] \n  32 -> 44 [size =\"47316992\"]\n  32 -> 45 [size =\"47316992\"]\n  32 -> 46 [size =\"47316992\"]\n  32 -> 47 [size =\"47316992\"]\n  32 -> 48 [size =\"47316992\"]\n  33 [size=\"49655808\", alpha=\"0.00\", expect_size=\"24827904\"] \n  33 -> 44 [size =\"24827904\"]\n  33 -> 45 [size =\"24827904\"]\n  33 -> 47 [size =\"24827904\"]\n  33 -> 48 [size =\"24827904\"]\n  34 [size=\"25892864\", alpha=\"0.04\", expect_size=\"12946432\"] \n  34 -> 44 [size =\"12946432\"]\n  35 [size=\"97058816\", alpha=\"0.05\", expect_size=\"48529408\"] \n  35 -> 45 [size =\"48529408\"]\n  35 -> 48 [size =\"48529408\"]\n  36 [size=\"87121920\", alpha=\"0.07\", expect_size=\"43560960\"] \n  36 -> 46 [size =\"43560960\"]\n  36 -> 47 [size =\"43560960\"]\n  36 -> 48 [size =\"43560960\"]\n  37 [size=\"40398848\", alpha=\"0.04\", expect_size=\"20199424\"] \n  37 -> 44 [size =\"20199424\"]\n  37 -> 45 [size =\"20199424\"]\n  37 -> 46 [size =\"20199424\"]\n  37 -> 47 [size =\"20199424\"]\n  38 [size=\"76427264\", alpha=\"0.06\", expect_size=\"38213632\"] \n  38 -> 45 [size =\"38213632\"]\n  38 -> 46 [size =\"38213632\"]\n  38 -> 47 [size =\"38213632\"]\n  39 [size=\"95670272\", alpha=\"0.01\", expect_size=\"47835136\"] \n  39 -> 45 [size =\"47835136\"]\n  39 -> 47 [size =\"47835136\"]\n  39 -> 48 [size =\"47835136\"]\n  40 [size=\"68218880\", alpha=\"0.06\", expect_size=\"34109440\"] \n  40 -> 44 [size =\"34109440\"]\n  40 -> 46 [size =\"34109440\"]\n  40 -> 47 [size =\"34109440\"]\n  40 -> 49 [size =\"34109440\"]\n  41 [size=\"30629888\", alpha=\"0.00\", expect_size=\"15314944\"] \n  42 [size=\"13549568\", alpha=\"0.05\", expect_size=\"6774784\"] \n  42 -> 45 [size =\"6774784\"]\n  42 -> 46 [size =\"6774784\"]\n  42 -> 47 [size =\"6774784\"]\n  42 -> 48 [size =\"6774784\"]\n  43 [size=\"19093504\", alpha=\"0.07\", expect_size=\"9546752\"] \n  43 -> 45 [size =\"9546752\"]\n  44 [size=\"19679232\", alpha=\"0.14\", expect_size=\"9839616\"] \n  45 [size=\"38412288\", alpha=\"0.15\", expect_size=\"19206144\"] \n  46 [size=\"63399936\", alpha=\"0.13\", expect_size=\"31699968\"] \n  47 [size=\"98359296\", alpha=\"0.05\", expect_size=\"49179648\"] \n  48 [size=\"20903936\", alpha=\"0.18\", expect_size=\"10451968\"] \n  49 [size=\"49494016\", alpha=\"0.01\", expect_size=\"24747008\"] \n  50 [size=\"52961280\", alpha=\"0.18\", expect_size=\"26480640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40020480\", alpha=\"0.10\", expect_size=\"16008192\"] \n  1 -> 4 [size =\"16008192\"]\n  1 -> 5 [size =\"16008192\"]\n  2 [size=\"35207680\", alpha=\"0.10\", expect_size=\"14083072\"] \n  3 [size=\"52172800\", alpha=\"0.08\", expect_size=\"20869120\"] \n  3 -> 4 [size =\"20869120\"]\n  3 -> 6 [size =\"20869120\"]\n  4 [size=\"48954880\", alpha=\"0.02\", expect_size=\"19581952\"] \n  4 -> 8 [size =\"19581952\"]\n  4 -> 9 [size =\"19581952\"]\n  5 [size=\"24811520\", alpha=\"0.14\", expect_size=\"9924608\"] \n  5 -> 7 [size =\"9924608\"]\n  5 -> 8 [size =\"9924608\"]\n  5 -> 9 [size =\"9924608\"]\n  6 [size=\"74644480\", alpha=\"0.13\", expect_size=\"29857792\"] \n  7 [size=\"78676480\", alpha=\"0.14\", expect_size=\"31470592\"] \n  7 -> 10 [size =\"31470592\"]\n  7 -> 11 [size =\"31470592\"]\n  8 [size=\"41103360\", alpha=\"0.10\", expect_size=\"16441344\"] \n  8 -> 10 [size =\"16441344\"]\n  9 [size=\"49320960\", alpha=\"0.08\", expect_size=\"19728384\"] \n  10 [size=\"114565120\", alpha=\"0.11\", expect_size=\"45826048\"] \n  11 [size=\"56168960\", alpha=\"0.14\", expect_size=\"22467584\"] \n  11 -> 12 [size =\"22467584\"]\n  11 -> 13 [size =\"22467584\"]\n  11 -> 14 [size =\"22467584\"]\n  12 [size=\"116308480\", alpha=\"0.15\", expect_size=\"46523392\"] \n  12 -> 16 [size =\"46523392\"]\n  13 [size=\"56555520\", alpha=\"0.05\", expect_size=\"22622208\"] \n  14 [size=\"102888960\", alpha=\"0.11\", expect_size=\"41155584\"] \n  14 -> 15 [size =\"41155584\"]\n  14 -> 17 [size =\"41155584\"]\n  15 [size=\"117314560\", alpha=\"0.12\", expect_size=\"46925824\"] \n  16 [size=\"83386880\", alpha=\"0.08\", expect_size=\"33354752\"] \n  16 -> 18 [size =\"33354752\"]\n  16 -> 19 [size =\"33354752\"]\n  17 [size=\"41292800\", alpha=\"0.17\", expect_size=\"16517120\"] \n  18 [size=\"123381760\", alpha=\"0.06\", expect_size=\"49352704\"] \n  19 [size=\"66580480\", alpha=\"0.14\", expect_size=\"26632192\"] \n  19 -> 20 [size =\"26632192\"]\n  19 -> 21 [size =\"26632192\"]\n  19 -> 22 [size =\"26632192\"]\n  20 [size=\"110835200\", alpha=\"0.19\", expect_size=\"44334080\"] \n  20 -> 24 [size =\"44334080\"]\n  21 [size=\"56529920\", alpha=\"0.08\", expect_size=\"22611968\"] \n  21 -> 23 [size =\"22611968\"]\n  21 -> 24 [size =\"22611968\"]\n  22 [size=\"20572160\", alpha=\"0.02\", expect_size=\"8228864\"] \n  23 [size=\"111874560\", alpha=\"0.02\", expect_size=\"44749824\"] \n  23 -> 26 [size =\"44749824\"]\n  24 [size=\"23080960\", alpha=\"0.08\", expect_size=\"9232384\"] \n  24 -> 25 [size =\"9232384\"]\n  24 -> 27 [size =\"9232384\"]\n  25 [size=\"89623040\", alpha=\"0.16\", expect_size=\"35849216\"] \n  25 -> 29 [size =\"35849216\"]\n  26 [size=\"43161600\", alpha=\"0.14\", expect_size=\"17264640\"] \n  26 -> 30 [size =\"17264640\"]\n  27 [size=\"90959360\", alpha=\"0.04\", expect_size=\"36383744\"] \n  27 -> 28 [size =\"36383744\"]\n  28 [size=\"75573760\", alpha=\"0.18\", expect_size=\"30229504\"] \n  28 -> 33 [size =\"30229504\"]\n  29 [size=\"111406080\", alpha=\"0.19\", expect_size=\"44562432\"] \n  29 -> 32 [size =\"44562432\"]\n  30 [size=\"74531840\", alpha=\"0.16\", expect_size=\"29812736\"] \n  30 -> 31 [size =\"29812736\"]\n  31 [size=\"67304960\", alpha=\"0.01\", expect_size=\"26921984\"] \n  31 -> 34 [size =\"26921984\"]\n  32 [size=\"116638720\", alpha=\"0.04\", expect_size=\"46655488\"] \n  32 -> 35 [size =\"46655488\"]\n  33 [size=\"126673920\", alpha=\"0.13\", expect_size=\"50669568\"] \n  33 -> 34 [size =\"50669568\"]\n  33 -> 35 [size =\"50669568\"]\n  34 [size=\"18508800\", alpha=\"0.18\", expect_size=\"7403520\"] \n  35 [size=\"63925760\", alpha=\"0.01\", expect_size=\"25570304\"] \n  35 -> 36 [size =\"25570304\"]\n  35 -> 37 [size =\"25570304\"]\n  35 -> 38 [size =\"25570304\"]\n  36 [size=\"38694400\", alpha=\"0.16\", expect_size=\"15477760\"] \n  37 [size=\"122324480\", alpha=\"0.15\", expect_size=\"48929792\"] \n  37 -> 39 [size =\"48929792\"]\n  38 [size=\"26485760\", alpha=\"0.13\", expect_size=\"10594304\"] \n  38 -> 40 [size =\"10594304\"]\n  38 -> 41 [size =\"10594304\"]\n  39 [size=\"15106560\", alpha=\"0.01\", expect_size=\"6042624\"] \n  39 -> 43 [size =\"6042624\"]\n  39 -> 44 [size =\"6042624\"]\n  40 [size=\"124405760\", alpha=\"0.04\", expect_size=\"49762304\"] \n  40 -> 42 [size =\"49762304\"]\n  41 [size=\"101941760\", alpha=\"0.15\", expect_size=\"40776704\"] \n  41 -> 42 [size =\"40776704\"]\n  41 -> 43 [size =\"40776704\"]\n  42 [size=\"108748800\", alpha=\"0.08\", expect_size=\"43499520\"] \n  42 -> 45 [size =\"43499520\"]\n  42 -> 46 [size =\"43499520\"]\n  42 -> 47 [size =\"43499520\"]\n  43 [size=\"130060800\", alpha=\"0.17\", expect_size=\"52024320\"] \n  44 [size=\"91366400\", alpha=\"0.08\", expect_size=\"36546560\"] \n  45 [size=\"82444800\", alpha=\"0.11\", expect_size=\"32977920\"] \n  45 -> 49 [size =\"32977920\"]\n  46 [size=\"89546240\", alpha=\"0.00\", expect_size=\"35818496\"] \n  46 -> 49 [size =\"35818496\"]\n  47 [size=\"64980480\", alpha=\"0.02\", expect_size=\"25992192\"] \n  47 -> 48 [size =\"25992192\"]\n  48 [size=\"36940800\", alpha=\"0.15\", expect_size=\"14776320\"] \n  48 -> 50 [size =\"14776320\"]\n  49 [size=\"115701760\", alpha=\"0.04\", expect_size=\"46280704\"] \n  50 [size=\"118807040\", alpha=\"0.04\", expect_size=\"47522816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.970.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"115906560\", alpha=\"0.08\", expect_size=\"46362624\"] \n  1 -> 26 [size =\"46362624\"]\n  1 -> 27 [size =\"46362624\"]\n  2 [size=\"26188800\", alpha=\"0.07\", expect_size=\"10475520\"] \n  2 -> 22 [size =\"10475520\"]\n  2 -> 25 [size =\"10475520\"]\n  2 -> 30 [size =\"10475520\"]\n  3 [size=\"86225920\", alpha=\"0.17\", expect_size=\"34490368\"] \n  3 -> 24 [size =\"34490368\"]\n  3 -> 25 [size =\"34490368\"]\n  4 [size=\"117076480\", alpha=\"0.01\", expect_size=\"46830592\"] \n  4 -> 22 [size =\"46830592\"]\n  4 -> 23 [size =\"46830592\"]\n  4 -> 25 [size =\"46830592\"]\n  5 [size=\"71393280\", alpha=\"0.11\", expect_size=\"28557312\"] \n  5 -> 22 [size =\"28557312\"]\n  5 -> 25 [size =\"28557312\"]\n  5 -> 25 [size =\"28557312\"]\n  6 [size=\"47180800\", alpha=\"0.15\", expect_size=\"18872320\"] \n  6 -> 26 [size =\"18872320\"]\n  7 [size=\"91824640\", alpha=\"0.01\", expect_size=\"36729856\"] \n  7 -> 26 [size =\"36729856\"]\n  7 -> 28 [size =\"36729856\"]\n  8 [size=\"119073280\", alpha=\"0.04\", expect_size=\"47629312\"] \n  8 -> 22 [size =\"47629312\"]\n  8 -> 24 [size =\"47629312\"]\n  8 -> 25 [size =\"47629312\"]\n  8 -> 26 [size =\"47629312\"]\n  8 -> 27 [size =\"47629312\"]\n  8 -> 28 [size =\"47629312\"]\n  9 [size=\"55802880\", alpha=\"0.13\", expect_size=\"22321152\"] \n  9 -> 25 [size =\"22321152\"]\n  9 -> 26 [size =\"22321152\"]\n  9 -> 27 [size =\"22321152\"]\n  9 -> 30 [size =\"22321152\"]\n  10 [size=\"46430720\", alpha=\"0.06\", expect_size=\"18572288\"] \n  10 -> 26 [size =\"18572288\"]\n  10 -> 27 [size =\"18572288\"]\n  10 -> 30 [size =\"18572288\"]\n  11 [size=\"55534080\", alpha=\"0.07\", expect_size=\"22213632\"] \n  11 -> 23 [size =\"22213632\"]\n  11 -> 24 [size =\"22213632\"]\n  11 -> 25 [size =\"22213632\"]\n  11 -> 27 [size =\"22213632\"]\n  11 -> 28 [size =\"22213632\"]\n  12 [size=\"105008640\", alpha=\"0.14\", expect_size=\"42003456\"] \n  12 -> 24 [size =\"42003456\"]\n  12 -> 25 [size =\"42003456\"]\n  12 -> 25 [size =\"42003456\"]\n  12 -> 27 [size =\"42003456\"]\n  12 -> 28 [size =\"42003456\"]\n  13 [size=\"28887040\", alpha=\"0.03\", expect_size=\"11554816\"] \n  13 -> 24 [size =\"11554816\"]\n  13 -> 25 [size =\"11554816\"]\n  13 -> 26 [size =\"11554816\"]\n  13 -> 28 [size =\"11554816\"]\n  14 [size=\"127984640\", alpha=\"0.14\", expect_size=\"51193856\"] \n  14 -> 22 [size =\"51193856\"]\n  14 -> 26 [size =\"51193856\"]\n  14 -> 26 [size =\"51193856\"]\n  14 -> 27 [size =\"51193856\"]\n  14 -> 29 [size =\"51193856\"]\n  14 -> 30 [size =\"51193856\"]\n  15 [size=\"15823360\", alpha=\"0.06\", expect_size=\"6329344\"] \n  15 -> 28 [size =\"6329344\"]\n  16 [size=\"81082880\", alpha=\"0.17\", expect_size=\"32433152\"] \n  16 -> 22 [size =\"32433152\"]\n  16 -> 30 [size =\"32433152\"]\n  17 [size=\"54464000\", alpha=\"0.08\", expect_size=\"21785600\"] \n  17 -> 24 [size =\"21785600\"]\n  17 -> 26 [size =\"21785600\"]\n  17 -> 27 [size =\"21785600\"]\n  17 -> 28 [size =\"21785600\"]\n  18 [size=\"63175680\", alpha=\"0.20\", expect_size=\"25270272\"] \n  18 -> 24 [size =\"25270272\"]\n  18 -> 26 [size =\"25270272\"]\n  18 -> 30 [size =\"25270272\"]\n  19 [size=\"85606400\", alpha=\"0.08\", expect_size=\"34242560\"] \n  19 -> 22 [size =\"34242560\"]\n  19 -> 28 [size =\"34242560\"]\n  19 -> 30 [size =\"34242560\"]\n  20 [size=\"43281920\", alpha=\"0.18\", expect_size=\"17312768\"] \n  20 -> 22 [size =\"17312768\"]\n  20 -> 25 [size =\"17312768\"]\n  20 -> 27 [size =\"17312768\"]\n  20 -> 28 [size =\"17312768\"]\n  21 [size=\"79183360\", alpha=\"0.07\", expect_size=\"31673344\"] \n  21 -> 28 [size =\"31673344\"]\n  21 -> 30 [size =\"31673344\"]\n  22 [size=\"120599040\", alpha=\"0.17\", expect_size=\"48239616\"] \n  22 -> 31 [size =\"48239616\"]\n  22 -> 32 [size =\"48239616\"]\n  22 -> 34 [size =\"48239616\"]\n  22 -> 37 [size =\"48239616\"]\n  22 -> 42 [size =\"48239616\"]\n  22 -> 43 [size =\"48239616\"]\n  23 [size=\"83804160\", alpha=\"0.00\", expect_size=\"33521664\"] \n  23 -> 31 [size =\"33521664\"]\n  23 -> 34 [size =\"33521664\"]\n  23 -> 35 [size =\"33521664\"]\n  23 -> 37 [size =\"33521664\"]\n  23 -> 38 [size =\"33521664\"]\n  23 -> 39 [size =\"33521664\"]\n  23 -> 41 [size =\"33521664\"]\n  23 -> 42 [size =\"33521664\"]\n  23 -> 43 [size =\"33521664\"]\n  23 -> 45 [size =\"33521664\"]\n  24 [size=\"99031040\", alpha=\"0.01\", expect_size=\"39612416\"] \n  24 -> 31 [size =\"39612416\"]\n  24 -> 33 [size =\"39612416\"]\n  24 -> 34 [size =\"39612416\"]\n  24 -> 42 [size =\"39612416\"]\n  24 -> 44 [size =\"39612416\"]\n  24 -> 45 [size =\"39612416\"]\n  24 -> 46 [size =\"39612416\"]\n  24 -> 47 [size =\"39612416\"]\n  25 [size=\"64957440\", alpha=\"0.11\", expect_size=\"25982976\"] \n  25 -> 31 [size =\"25982976\"]\n  25 -> 35 [size =\"25982976\"]\n  25 -> 37 [size =\"25982976\"]\n  25 -> 40 [size =\"25982976\"]\n  25 -> 41 [size =\"25982976\"]\n  25 -> 44 [size =\"25982976\"]\n  25 -> 47 [size =\"25982976\"]\n  26 [size=\"99619840\", alpha=\"0.07\", expect_size=\"39847936\"] \n  26 -> 31 [size =\"39847936\"]\n  26 -> 33 [size =\"39847936\"]\n  26 -> 36 [size =\"39847936\"]\n  26 -> 37 [size =\"39847936\"]\n  26 -> 39 [size =\"39847936\"]\n  26 -> 47 [size =\"39847936\"]\n  27 [size=\"80304640\", alpha=\"0.17\", expect_size=\"32121856\"] \n  27 -> 31 [size =\"32121856\"]\n  27 -> 32 [size =\"32121856\"]\n  27 -> 33 [size =\"32121856\"]\n  27 -> 36 [size =\"32121856\"]\n  27 -> 37 [size =\"32121856\"]\n  27 -> 38 [size =\"32121856\"]\n  27 -> 39 [size =\"32121856\"]\n  27 -> 41 [size =\"32121856\"]\n  27 -> 46 [size =\"32121856\"]\n  28 [size=\"128704000\", alpha=\"0.04\", expect_size=\"51481600\"] \n  28 -> 40 [size =\"51481600\"]\n  28 -> 43 [size =\"51481600\"]\n  28 -> 45 [size =\"51481600\"]\n  28 -> 46 [size =\"51481600\"]\n  29 [size=\"125977600\", alpha=\"0.19\", expect_size=\"50391040\"] \n  29 -> 34 [size =\"50391040\"]\n  29 -> 35 [size =\"50391040\"]\n  29 -> 39 [size =\"50391040\"]\n  29 -> 47 [size =\"50391040\"]\n  30 [size=\"52682240\", alpha=\"0.19\", expect_size=\"21072896\"] \n  30 -> 34 [size =\"21072896\"]\n  31 [size=\"43463680\", alpha=\"0.07\", expect_size=\"17385472\"] \n  31 -> 48 [size =\"17385472\"]\n  31 -> 49 [size =\"17385472\"]\n  32 [size=\"83156480\", alpha=\"0.10\", expect_size=\"33262592\"] \n  32 -> 49 [size =\"33262592\"]\n  32 -> 50 [size =\"33262592\"]\n  33 [size=\"66877440\", alpha=\"0.16\", expect_size=\"26750976\"] \n  34 [size=\"67745280\", alpha=\"0.01\", expect_size=\"27098112\"] \n  35 [size=\"71767040\", alpha=\"0.07\", expect_size=\"28706816\"] \n  35 -> 50 [size =\"28706816\"]\n  36 [size=\"19266560\", alpha=\"0.04\", expect_size=\"7706624\"] \n  36 -> 50 [size =\"7706624\"]\n  37 [size=\"62279680\", alpha=\"0.09\", expect_size=\"24911872\"] \n  37 -> 49 [size =\"24911872\"]\n  38 [size=\"43596800\", alpha=\"0.02\", expect_size=\"17438720\"] \n  38 -> 49 [size =\"17438720\"]\n  39 [size=\"69184000\", alpha=\"0.07\", expect_size=\"27673600\"] \n  39 -> 48 [size =\"27673600\"]\n  39 -> 49 [size =\"27673600\"]\n  40 [size=\"63777280\", alpha=\"0.17\", expect_size=\"25510912\"] \n  40 -> 48 [size =\"25510912\"]\n  41 [size=\"60695040\", alpha=\"0.18\", expect_size=\"24278016\"] \n  42 [size=\"102366720\", alpha=\"0.18\", expect_size=\"40946688\"] \n  42 -> 49 [size =\"40946688\"]\n  43 [size=\"44766720\", alpha=\"0.10\", expect_size=\"17906688\"] \n  44 [size=\"21639680\", alpha=\"0.16\", expect_size=\"8655872\"] \n  44 -> 48 [size =\"8655872\"]\n  45 [size=\"29898240\", alpha=\"0.11\", expect_size=\"11959296\"] \n  45 -> 48 [size =\"11959296\"]\n  45 -> 49 [size =\"11959296\"]\n  45 -> 50 [size =\"11959296\"]\n  46 [size=\"72261120\", alpha=\"0.00\", expect_size=\"28904448\"] \n  46 -> 48 [size =\"28904448\"]\n  46 -> 49 [size =\"28904448\"]\n  46 -> 50 [size =\"28904448\"]\n  47 [size=\"98736640\", alpha=\"0.02\", expect_size=\"39494656\"] \n  47 -> 48 [size =\"39494656\"]\n  47 -> 49 [size =\"39494656\"]\n  47 -> 50 [size =\"39494656\"]\n  48 [size=\"32716800\", alpha=\"0.02\", expect_size=\"13086720\"] \n  49 [size=\"42240000\", alpha=\"0.02\", expect_size=\"16896000\"] \n  50 [size=\"81840640\", alpha=\"0.08\", expect_size=\"32736256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.971.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"44802560\", alpha=\"0.15\", expect_size=\"17921024\"] \n  1 -> 21 [size =\"17921024\"]\n  1 -> 25 [size =\"17921024\"]\n  1 -> 28 [size =\"17921024\"]\n  1 -> 31 [size =\"17921024\"]\n  1 -> 36 [size =\"17921024\"]\n  1 -> 38 [size =\"17921024\"]\n  1 -> 41 [size =\"17921024\"]\n  1 -> 43 [size =\"17921024\"]\n  1 -> 46 [size =\"17921024\"]\n  1 -> 47 [size =\"17921024\"]\n  1 -> 48 [size =\"17921024\"]\n  2 [size=\"129748480\", alpha=\"0.14\", expect_size=\"51899392\"] \n  2 -> 22 [size =\"51899392\"]\n  2 -> 24 [size =\"51899392\"]\n  2 -> 27 [size =\"51899392\"]\n  2 -> 28 [size =\"51899392\"]\n  2 -> 30 [size =\"51899392\"]\n  2 -> 34 [size =\"51899392\"]\n  2 -> 38 [size =\"51899392\"]\n  2 -> 41 [size =\"51899392\"]\n  2 -> 43 [size =\"51899392\"]\n  2 -> 48 [size =\"51899392\"]\n  2 -> 49 [size =\"51899392\"]\n  3 [size=\"124997120\", alpha=\"0.03\", expect_size=\"49998848\"] \n  3 -> 22 [size =\"49998848\"]\n  3 -> 27 [size =\"49998848\"]\n  3 -> 30 [size =\"49998848\"]\n  3 -> 31 [size =\"49998848\"]\n  3 -> 33 [size =\"49998848\"]\n  3 -> 36 [size =\"49998848\"]\n  3 -> 41 [size =\"49998848\"]\n  3 -> 43 [size =\"49998848\"]\n  3 -> 45 [size =\"49998848\"]\n  3 -> 47 [size =\"49998848\"]\n  3 -> 50 [size =\"49998848\"]\n  4 [size=\"103398400\", alpha=\"0.10\", expect_size=\"41359360\"] \n  4 -> 23 [size =\"41359360\"]\n  4 -> 24 [size =\"41359360\"]\n  4 -> 27 [size =\"41359360\"]\n  4 -> 29 [size =\"41359360\"]\n  4 -> 30 [size =\"41359360\"]\n  4 -> 33 [size =\"41359360\"]\n  4 -> 35 [size =\"41359360\"]\n  4 -> 43 [size =\"41359360\"]\n  4 -> 48 [size =\"41359360\"]\n  5 [size=\"79882240\", alpha=\"0.07\", expect_size=\"31952896\"] \n  5 -> 22 [size =\"31952896\"]\n  5 -> 23 [size =\"31952896\"]\n  5 -> 25 [size =\"31952896\"]\n  5 -> 26 [size =\"31952896\"]\n  5 -> 27 [size =\"31952896\"]\n  5 -> 30 [size =\"31952896\"]\n  5 -> 33 [size =\"31952896\"]\n  5 -> 43 [size =\"31952896\"]\n  5 -> 48 [size =\"31952896\"]\n  5 -> 50 [size =\"31952896\"]\n  6 [size=\"26321920\", alpha=\"0.02\", expect_size=\"10528768\"] \n  6 -> 23 [size =\"10528768\"]\n  6 -> 31 [size =\"10528768\"]\n  6 -> 36 [size =\"10528768\"]\n  6 -> 37 [size =\"10528768\"]\n  6 -> 39 [size =\"10528768\"]\n  6 -> 47 [size =\"10528768\"]\n  6 -> 48 [size =\"10528768\"]\n  7 [size=\"35287040\", alpha=\"0.01\", expect_size=\"14114816\"] \n  7 -> 22 [size =\"14114816\"]\n  7 -> 29 [size =\"14114816\"]\n  7 -> 31 [size =\"14114816\"]\n  7 -> 37 [size =\"14114816\"]\n  7 -> 46 [size =\"14114816\"]\n  7 -> 47 [size =\"14114816\"]\n  7 -> 49 [size =\"14114816\"]\n  8 [size=\"50508800\", alpha=\"0.07\", expect_size=\"20203520\"] \n  8 -> 21 [size =\"20203520\"]\n  8 -> 23 [size =\"20203520\"]\n  8 -> 29 [size =\"20203520\"]\n  8 -> 30 [size =\"20203520\"]\n  8 -> 31 [size =\"20203520\"]\n  8 -> 33 [size =\"20203520\"]\n  8 -> 36 [size =\"20203520\"]\n  8 -> 39 [size =\"20203520\"]\n  8 -> 47 [size =\"20203520\"]\n  8 -> 49 [size =\"20203520\"]\n  9 [size=\"129505280\", alpha=\"0.01\", expect_size=\"51802112\"] \n  9 -> 23 [size =\"51802112\"]\n  9 -> 30 [size =\"51802112\"]\n  9 -> 33 [size =\"51802112\"]\n  9 -> 36 [size =\"51802112\"]\n  9 -> 38 [size =\"51802112\"]\n  9 -> 47 [size =\"51802112\"]\n  10 [size=\"16614400\", alpha=\"0.04\", expect_size=\"6645760\"] \n  10 -> 24 [size =\"6645760\"]\n  10 -> 25 [size =\"6645760\"]\n  10 -> 32 [size =\"6645760\"]\n  10 -> 45 [size =\"6645760\"]\n  10 -> 49 [size =\"6645760\"]\n  11 [size=\"71697920\", alpha=\"0.18\", expect_size=\"28679168\"] \n  11 -> 22 [size =\"28679168\"]\n  11 -> 25 [size =\"28679168\"]\n  11 -> 26 [size =\"28679168\"]\n  11 -> 27 [size =\"28679168\"]\n  11 -> 33 [size =\"28679168\"]\n  11 -> 36 [size =\"28679168\"]\n  11 -> 37 [size =\"28679168\"]\n  11 -> 45 [size =\"28679168\"]\n  11 -> 50 [size =\"28679168\"]\n  12 [size=\"40870400\", alpha=\"0.01\", expect_size=\"16348160\"] \n  12 -> 25 [size =\"16348160\"]\n  12 -> 40 [size =\"16348160\"]\n  12 -> 44 [size =\"16348160\"]\n  12 -> 45 [size =\"16348160\"]\n  12 -> 46 [size =\"16348160\"]\n  12 -> 48 [size =\"16348160\"]\n  13 [size=\"123415040\", alpha=\"0.01\", expect_size=\"49366016\"] \n  13 -> 27 [size =\"49366016\"]\n  13 -> 30 [size =\"49366016\"]\n  13 -> 35 [size =\"49366016\"]\n  13 -> 38 [size =\"49366016\"]\n  14 [size=\"21624320\", alpha=\"0.04\", expect_size=\"8649728\"] \n  14 -> 22 [size =\"8649728\"]\n  14 -> 25 [size =\"8649728\"]\n  14 -> 26 [size =\"8649728\"]\n  14 -> 27 [size =\"8649728\"]\n  14 -> 38 [size =\"8649728\"]\n  14 -> 39 [size =\"8649728\"]\n  14 -> 43 [size =\"8649728\"]\n  14 -> 46 [size =\"8649728\"]\n  14 -> 47 [size =\"8649728\"]\n  15 [size=\"78568960\", alpha=\"0.13\", expect_size=\"31427584\"] \n  15 -> 22 [size =\"31427584\"]\n  15 -> 27 [size =\"31427584\"]\n  15 -> 29 [size =\"31427584\"]\n  15 -> 31 [size =\"31427584\"]\n  15 -> 38 [size =\"31427584\"]\n  15 -> 43 [size =\"31427584\"]\n  15 -> 45 [size =\"31427584\"]\n  15 -> 46 [size =\"31427584\"]\n  15 -> 49 [size =\"31427584\"]\n  16 [size=\"120386560\", alpha=\"0.12\", expect_size=\"48154624\"] \n  16 -> 21 [size =\"48154624\"]\n  16 -> 27 [size =\"48154624\"]\n  16 -> 28 [size =\"48154624\"]\n  16 -> 30 [size =\"48154624\"]\n  16 -> 31 [size =\"48154624\"]\n  16 -> 33 [size =\"48154624\"]\n  16 -> 41 [size =\"48154624\"]\n  16 -> 43 [size =\"48154624\"]\n  16 -> 46 [size =\"48154624\"]\n  17 [size=\"15270400\", alpha=\"0.20\", expect_size=\"6108160\"] \n  17 -> 30 [size =\"6108160\"]\n  17 -> 31 [size =\"6108160\"]\n  17 -> 32 [size =\"6108160\"]\n  17 -> 33 [size =\"6108160\"]\n  17 -> 41 [size =\"6108160\"]\n  17 -> 42 [size =\"6108160\"]\n  17 -> 45 [size =\"6108160\"]\n  18 [size=\"23342080\", alpha=\"0.10\", expect_size=\"9336832\"] \n  18 -> 26 [size =\"9336832\"]\n  18 -> 29 [size =\"9336832\"]\n  18 -> 37 [size =\"9336832\"]\n  18 -> 41 [size =\"9336832\"]\n  18 -> 45 [size =\"9336832\"]\n  18 -> 46 [size =\"9336832\"]\n  18 -> 48 [size =\"9336832\"]\n  19 [size=\"64783360\", alpha=\"0.12\", expect_size=\"25913344\"] \n  19 -> 31 [size =\"25913344\"]\n  19 -> 32 [size =\"25913344\"]\n  19 -> 36 [size =\"25913344\"]\n  19 -> 38 [size =\"25913344\"]\n  19 -> 45 [size =\"25913344\"]\n  19 -> 46 [size =\"25913344\"]\n  19 -> 48 [size =\"25913344\"]\n  20 [size=\"69519360\", alpha=\"0.09\", expect_size=\"27807744\"] \n  20 -> 23 [size =\"27807744\"]\n  20 -> 24 [size =\"27807744\"]\n  20 -> 25 [size =\"27807744\"]\n  20 -> 30 [size =\"27807744\"]\n  20 -> 31 [size =\"27807744\"]\n  20 -> 35 [size =\"27807744\"]\n  20 -> 37 [size =\"27807744\"]\n  20 -> 38 [size =\"27807744\"]\n  20 -> 41 [size =\"27807744\"]\n  20 -> 43 [size =\"27807744\"]\n  20 -> 46 [size =\"27807744\"]\n  20 -> 47 [size =\"27807744\"]\n  20 -> 48 [size =\"27807744\"]\n  21 [size=\"90273280\", alpha=\"0.12\", expect_size=\"36109312\"] \n  22 [size=\"77488640\", alpha=\"0.15\", expect_size=\"30995456\"] \n  23 [size=\"81162240\", alpha=\"0.16\", expect_size=\"32464896\"] \n  24 [size=\"87424000\", alpha=\"0.13\", expect_size=\"34969600\"] \n  25 [size=\"110243840\", alpha=\"0.01\", expect_size=\"44097536\"] \n  26 [size=\"70074880\", alpha=\"0.12\", expect_size=\"28029952\"] \n  27 [size=\"22494720\", alpha=\"0.06\", expect_size=\"8997888\"] \n  28 [size=\"19783680\", alpha=\"0.06\", expect_size=\"7913472\"] \n  29 [size=\"79672320\", alpha=\"0.06\", expect_size=\"31868928\"] \n  30 [size=\"30904320\", alpha=\"0.07\", expect_size=\"12361728\"] \n  31 [size=\"84910080\", alpha=\"0.18\", expect_size=\"33964032\"] \n  32 [size=\"37457920\", alpha=\"0.14\", expect_size=\"14983168\"] \n  33 [size=\"123156480\", alpha=\"0.08\", expect_size=\"49262592\"] \n  34 [size=\"100001280\", alpha=\"0.03\", expect_size=\"40000512\"] \n  35 [size=\"58283520\", alpha=\"0.10\", expect_size=\"23313408\"] \n  36 [size=\"64778240\", alpha=\"0.15\", expect_size=\"25911296\"] \n  37 [size=\"14740480\", alpha=\"0.00\", expect_size=\"5896192\"] \n  38 [size=\"48314880\", alpha=\"0.07\", expect_size=\"19325952\"] \n  39 [size=\"84935680\", alpha=\"0.03\", expect_size=\"33974272\"] \n  40 [size=\"123043840\", alpha=\"0.08\", expect_size=\"49217536\"] \n  41 [size=\"48179200\", alpha=\"0.07\", expect_size=\"19271680\"] \n  42 [size=\"36899840\", alpha=\"0.16\", expect_size=\"14759936\"] \n  43 [size=\"116971520\", alpha=\"0.17\", expect_size=\"46788608\"] \n  44 [size=\"44805120\", alpha=\"0.11\", expect_size=\"17922048\"] \n  45 [size=\"64847360\", alpha=\"0.01\", expect_size=\"25938944\"] \n  46 [size=\"124597760\", alpha=\"0.00\", expect_size=\"49839104\"] \n  47 [size=\"95408640\", alpha=\"0.01\", expect_size=\"38163456\"] \n  48 [size=\"97405440\", alpha=\"0.04\", expect_size=\"38962176\"] \n  49 [size=\"22860800\", alpha=\"0.17\", expect_size=\"9144320\"] \n  50 [size=\"41415680\", alpha=\"0.14\", expect_size=\"16566272\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.972.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57658027\", alpha=\"0.03\", expect_size=\"17297408\"] \n  1 -> 2 [size =\"17297408\"]\n  2 [size=\"132785493\", alpha=\"0.03\", expect_size=\"39835648\"] \n  2 -> 3 [size =\"39835648\"]\n  3 [size=\"103577600\", alpha=\"0.02\", expect_size=\"31073280\"] \n  3 -> 4 [size =\"31073280\"]\n  4 [size=\"139823787\", alpha=\"0.14\", expect_size=\"41947136\"] \n  4 -> 5 [size =\"41947136\"]\n  5 [size=\"153040213\", alpha=\"0.04\", expect_size=\"45912064\"] \n  5 -> 6 [size =\"45912064\"]\n  6 [size=\"65126400\", alpha=\"0.12\", expect_size=\"19537920\"] \n  6 -> 7 [size =\"19537920\"]\n  7 [size=\"112943787\", alpha=\"0.02\", expect_size=\"33883136\"] \n  7 -> 8 [size =\"33883136\"]\n  8 [size=\"112455680\", alpha=\"0.03\", expect_size=\"33736704\"] \n  8 -> 9 [size =\"33736704\"]\n  9 [size=\"24657920\", alpha=\"0.06\", expect_size=\"7397376\"] \n  9 -> 10 [size =\"7397376\"]\n  10 [size=\"76455253\", alpha=\"0.01\", expect_size=\"22936576\"] \n  10 -> 11 [size =\"22936576\"]\n  11 [size=\"100925440\", alpha=\"0.13\", expect_size=\"30277632\"] \n  11 -> 12 [size =\"30277632\"]\n  12 [size=\"124132693\", alpha=\"0.16\", expect_size=\"37239808\"] \n  12 -> 13 [size =\"37239808\"]\n  13 [size=\"146329600\", alpha=\"0.17\", expect_size=\"43898880\"] \n  13 -> 14 [size =\"43898880\"]\n  14 [size=\"164471467\", alpha=\"0.01\", expect_size=\"49341440\"] \n  14 -> 15 [size =\"49341440\"]\n  15 [size=\"120995840\", alpha=\"0.05\", expect_size=\"36298752\"] \n  15 -> 16 [size =\"36298752\"]\n  16 [size=\"153487360\", alpha=\"0.20\", expect_size=\"46046208\"] \n  16 -> 17 [size =\"46046208\"]\n  17 [size=\"93842773\", alpha=\"0.12\", expect_size=\"28152832\"] \n  17 -> 18 [size =\"28152832\"]\n  18 [size=\"108864853\", alpha=\"0.04\", expect_size=\"32659456\"] \n  18 -> 19 [size =\"32659456\"]\n  19 [size=\"134123520\", alpha=\"0.18\", expect_size=\"40237056\"] \n  19 -> 20 [size =\"40237056\"]\n  20 [size=\"20305920\", alpha=\"0.09\", expect_size=\"6091776\"] \n  20 -> 21 [size =\"6091776\"]\n  21 [size=\"25722880\", alpha=\"0.04\", expect_size=\"7716864\"] \n  21 -> 22 [size =\"7716864\"]\n  22 [size=\"124392107\", alpha=\"0.15\", expect_size=\"37317632\"] \n  22 -> 23 [size =\"37317632\"]\n  23 [size=\"90112000\", alpha=\"0.16\", expect_size=\"27033600\"] \n  23 -> 24 [size =\"27033600\"]\n  24 [size=\"65904640\", alpha=\"0.13\", expect_size=\"19771392\"] \n  24 -> 25 [size =\"19771392\"]\n  25 [size=\"77131093\", alpha=\"0.07\", expect_size=\"23139328\"] \n  25 -> 26 [size =\"23139328\"]\n  26 [size=\"116729173\", alpha=\"0.07\", expect_size=\"35018752\"] \n  26 -> 27 [size =\"35018752\"]\n  27 [size=\"115947520\", alpha=\"0.19\", expect_size=\"34784256\"] \n  27 -> 28 [size =\"34784256\"]\n  28 [size=\"51828053\", alpha=\"0.04\", expect_size=\"15548416\"] \n  28 -> 29 [size =\"15548416\"]\n  29 [size=\"83473067\", alpha=\"0.09\", expect_size=\"25041920\"] \n  29 -> 30 [size =\"25041920\"]\n  30 [size=\"69307733\", alpha=\"0.02\", expect_size=\"20792320\"] \n  30 -> 31 [size =\"20792320\"]\n  31 [size=\"138291200\", alpha=\"0.05\", expect_size=\"41487360\"] \n  31 -> 32 [size =\"41487360\"]\n  32 [size=\"173325653\", alpha=\"0.02\", expect_size=\"51997696\"] \n  32 -> 33 [size =\"51997696\"]\n  33 [size=\"132430507\", alpha=\"0.16\", expect_size=\"39729152\"] \n  33 -> 34 [size =\"39729152\"]\n  34 [size=\"101713920\", alpha=\"0.08\", expect_size=\"30514176\"] \n  34 -> 35 [size =\"30514176\"]\n  35 [size=\"46233600\", alpha=\"0.13\", expect_size=\"13870080\"] \n  35 -> 36 [size =\"13870080\"]\n  36 [size=\"101560320\", alpha=\"0.15\", expect_size=\"30468096\"] \n  36 -> 37 [size =\"30468096\"]\n  37 [size=\"158057813\", alpha=\"0.07\", expect_size=\"47417344\"] \n  37 -> 38 [size =\"47417344\"]\n  38 [size=\"153910613\", alpha=\"0.11\", expect_size=\"46173184\"] \n  38 -> 39 [size =\"46173184\"]\n  39 [size=\"26811733\", alpha=\"0.10\", expect_size=\"8043520\"] \n  39 -> 40 [size =\"8043520\"]\n  40 [size=\"98522453\", alpha=\"0.09\", expect_size=\"29556736\"] \n  40 -> 41 [size =\"29556736\"]\n  41 [size=\"113445547\", alpha=\"0.09\", expect_size=\"34033664\"] \n  41 -> 42 [size =\"34033664\"]\n  42 [size=\"155040427\", alpha=\"0.03\", expect_size=\"46512128\"] \n  42 -> 43 [size =\"46512128\"]\n  43 [size=\"172670293\", alpha=\"0.06\", expect_size=\"51801088\"] \n  43 -> 44 [size =\"51801088\"]\n  44 [size=\"137915733\", alpha=\"0.15\", expect_size=\"41374720\"] \n  44 -> 45 [size =\"41374720\"]\n  45 [size=\"40475307\", alpha=\"0.11\", expect_size=\"12142592\"] \n  45 -> 46 [size =\"12142592\"]\n  46 [size=\"141165227\", alpha=\"0.01\", expect_size=\"42349568\"] \n  46 -> 47 [size =\"42349568\"]\n  47 [size=\"104137387\", alpha=\"0.02\", expect_size=\"31241216\"] \n  47 -> 48 [size =\"31241216\"]\n  48 [size=\"163041280\", alpha=\"0.08\", expect_size=\"48912384\"] \n  48 -> 49 [size =\"48912384\"]\n  49 [size=\"94699520\", alpha=\"0.03\", expect_size=\"28409856\"] \n  49 -> 50 [size =\"28409856\"]\n  50 [size=\"173038933\", alpha=\"0.04\", expect_size=\"51911680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.973.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103264256\", alpha=\"0.10\", expect_size=\"51632128\"] \n  1 -> 41 [size =\"51632128\"]\n  1 -> 47 [size =\"51632128\"]\n  1 -> 48 [size =\"51632128\"]\n  1 -> 50 [size =\"51632128\"]\n  2 [size=\"46030848\", alpha=\"0.08\", expect_size=\"23015424\"] \n  2 -> 37 [size =\"23015424\"]\n  2 -> 42 [size =\"23015424\"]\n  2 -> 47 [size =\"23015424\"]\n  2 -> 48 [size =\"23015424\"]\n  2 -> 49 [size =\"23015424\"]\n  2 -> 50 [size =\"23015424\"]\n  3 [size=\"74276864\", alpha=\"0.14\", expect_size=\"37138432\"] \n  3 -> 40 [size =\"37138432\"]\n  3 -> 44 [size =\"37138432\"]\n  3 -> 46 [size =\"37138432\"]\n  3 -> 47 [size =\"37138432\"]\n  3 -> 50 [size =\"37138432\"]\n  3 -> 50 [size =\"37138432\"]\n  4 [size=\"97273856\", alpha=\"0.14\", expect_size=\"48636928\"] \n  4 -> 35 [size =\"48636928\"]\n  4 -> 40 [size =\"48636928\"]\n  4 -> 41 [size =\"48636928\"]\n  4 -> 44 [size =\"48636928\"]\n  4 -> 45 [size =\"48636928\"]\n  4 -> 46 [size =\"48636928\"]\n  4 -> 47 [size =\"48636928\"]\n  5 [size=\"14309376\", alpha=\"0.02\", expect_size=\"7154688\"] \n  5 -> 38 [size =\"7154688\"]\n  5 -> 40 [size =\"7154688\"]\n  5 -> 43 [size =\"7154688\"]\n  5 -> 46 [size =\"7154688\"]\n  5 -> 49 [size =\"7154688\"]\n  5 -> 50 [size =\"7154688\"]\n  6 [size=\"74551296\", alpha=\"0.05\", expect_size=\"37275648\"] \n  6 -> 38 [size =\"37275648\"]\n  6 -> 40 [size =\"37275648\"]\n  6 -> 41 [size =\"37275648\"]\n  6 -> 43 [size =\"37275648\"]\n  6 -> 46 [size =\"37275648\"]\n  6 -> 48 [size =\"37275648\"]\n  6 -> 50 [size =\"37275648\"]\n  7 [size=\"103852032\", alpha=\"0.18\", expect_size=\"51926016\"] \n  7 -> 35 [size =\"51926016\"]\n  7 -> 37 [size =\"51926016\"]\n  7 -> 38 [size =\"51926016\"]\n  7 -> 40 [size =\"51926016\"]\n  7 -> 43 [size =\"51926016\"]\n  7 -> 44 [size =\"51926016\"]\n  7 -> 46 [size =\"51926016\"]\n  7 -> 50 [size =\"51926016\"]\n  8 [size=\"40308736\", alpha=\"0.16\", expect_size=\"20154368\"] \n  8 -> 39 [size =\"20154368\"]\n  8 -> 41 [size =\"20154368\"]\n  8 -> 44 [size =\"20154368\"]\n  8 -> 48 [size =\"20154368\"]\n  8 -> 49 [size =\"20154368\"]\n  9 [size=\"42897408\", alpha=\"0.19\", expect_size=\"21448704\"] \n  9 -> 38 [size =\"21448704\"]\n  9 -> 41 [size =\"21448704\"]\n  9 -> 45 [size =\"21448704\"]\n  9 -> 46 [size =\"21448704\"]\n  9 -> 48 [size =\"21448704\"]\n  9 -> 49 [size =\"21448704\"]\n  9 -> 50 [size =\"21448704\"]\n  10 [size=\"39421952\", alpha=\"0.10\", expect_size=\"19710976\"] \n  10 -> 35 [size =\"19710976\"]\n  10 -> 40 [size =\"19710976\"]\n  10 -> 41 [size =\"19710976\"]\n  10 -> 48 [size =\"19710976\"]\n  10 -> 50 [size =\"19710976\"]\n  11 [size=\"51124224\", alpha=\"0.10\", expect_size=\"25562112\"] \n  11 -> 38 [size =\"25562112\"]\n  11 -> 41 [size =\"25562112\"]\n  12 [size=\"96473088\", alpha=\"0.12\", expect_size=\"48236544\"] \n  12 -> 37 [size =\"48236544\"]\n  12 -> 38 [size =\"48236544\"]\n  12 -> 39 [size =\"48236544\"]\n  12 -> 41 [size =\"48236544\"]\n  13 [size=\"38608896\", alpha=\"0.09\", expect_size=\"19304448\"] \n  13 -> 37 [size =\"19304448\"]\n  13 -> 39 [size =\"19304448\"]\n  13 -> 40 [size =\"19304448\"]\n  13 -> 41 [size =\"19304448\"]\n  13 -> 46 [size =\"19304448\"]\n  13 -> 48 [size =\"19304448\"]\n  13 -> 50 [size =\"19304448\"]\n  14 [size=\"103110656\", alpha=\"0.04\", expect_size=\"51555328\"] \n  14 -> 35 [size =\"51555328\"]\n  14 -> 37 [size =\"51555328\"]\n  14 -> 42 [size =\"51555328\"]\n  14 -> 43 [size =\"51555328\"]\n  14 -> 47 [size =\"51555328\"]\n  14 -> 48 [size =\"51555328\"]\n  15 [size=\"74809344\", alpha=\"0.11\", expect_size=\"37404672\"] \n  15 -> 35 [size =\"37404672\"]\n  15 -> 37 [size =\"37404672\"]\n  15 -> 39 [size =\"37404672\"]\n  15 -> 41 [size =\"37404672\"]\n  15 -> 45 [size =\"37404672\"]\n  15 -> 47 [size =\"37404672\"]\n  16 [size=\"83621888\", alpha=\"0.15\", expect_size=\"41810944\"] \n  16 -> 35 [size =\"41810944\"]\n  16 -> 37 [size =\"41810944\"]\n  16 -> 38 [size =\"41810944\"]\n  16 -> 41 [size =\"41810944\"]\n  16 -> 46 [size =\"41810944\"]\n  16 -> 47 [size =\"41810944\"]\n  16 -> 49 [size =\"41810944\"]\n  16 -> 50 [size =\"41810944\"]\n  17 [size=\"14856192\", alpha=\"0.17\", expect_size=\"7428096\"] \n  17 -> 35 [size =\"7428096\"]\n  17 -> 40 [size =\"7428096\"]\n  17 -> 41 [size =\"7428096\"]\n  17 -> 46 [size =\"7428096\"]\n  17 -> 46 [size =\"7428096\"]\n  17 -> 47 [size =\"7428096\"]\n  17 -> 50 [size =\"7428096\"]\n  18 [size=\"99579904\", alpha=\"0.07\", expect_size=\"49789952\"] \n  18 -> 35 [size =\"49789952\"]\n  18 -> 41 [size =\"49789952\"]\n  18 -> 42 [size =\"49789952\"]\n  18 -> 46 [size =\"49789952\"]\n  19 [size=\"79783936\", alpha=\"0.04\", expect_size=\"39891968\"] \n  19 -> 42 [size =\"39891968\"]\n  19 -> 43 [size =\"39891968\"]\n  19 -> 48 [size =\"39891968\"]\n  19 -> 49 [size =\"39891968\"]\n  20 [size=\"73754624\", alpha=\"0.02\", expect_size=\"36877312\"] \n  20 -> 37 [size =\"36877312\"]\n  20 -> 40 [size =\"36877312\"]\n  20 -> 43 [size =\"36877312\"]\n  20 -> 46 [size =\"36877312\"]\n  20 -> 48 [size =\"36877312\"]\n  20 -> 50 [size =\"36877312\"]\n  21 [size=\"27535360\", alpha=\"0.18\", expect_size=\"13767680\"] \n  21 -> 36 [size =\"13767680\"]\n  21 -> 40 [size =\"13767680\"]\n  21 -> 41 [size =\"13767680\"]\n  21 -> 47 [size =\"13767680\"]\n  21 -> 48 [size =\"13767680\"]\n  22 [size=\"75849728\", alpha=\"0.03\", expect_size=\"37924864\"] \n  22 -> 40 [size =\"37924864\"]\n  22 -> 46 [size =\"37924864\"]\n  22 -> 48 [size =\"37924864\"]\n  22 -> 49 [size =\"37924864\"]\n  22 -> 50 [size =\"37924864\"]\n  23 [size=\"38299648\", alpha=\"0.01\", expect_size=\"19149824\"] \n  23 -> 35 [size =\"19149824\"]\n  23 -> 40 [size =\"19149824\"]\n  23 -> 44 [size =\"19149824\"]\n  23 -> 46 [size =\"19149824\"]\n  23 -> 48 [size =\"19149824\"]\n  23 -> 49 [size =\"19149824\"]\n  24 [size=\"82690048\", alpha=\"0.17\", expect_size=\"41345024\"] \n  24 -> 35 [size =\"41345024\"]\n  24 -> 46 [size =\"41345024\"]\n  24 -> 48 [size =\"41345024\"]\n  25 [size=\"103917568\", alpha=\"0.14\", expect_size=\"51958784\"] \n  25 -> 35 [size =\"51958784\"]\n  25 -> 39 [size =\"51958784\"]\n  25 -> 40 [size =\"51958784\"]\n  25 -> 41 [size =\"51958784\"]\n  25 -> 43 [size =\"51958784\"]\n  25 -> 46 [size =\"51958784\"]\n  25 -> 49 [size =\"51958784\"]\n  26 [size=\"60502016\", alpha=\"0.05\", expect_size=\"30251008\"] \n  26 -> 43 [size =\"30251008\"]\n  26 -> 46 [size =\"30251008\"]\n  26 -> 49 [size =\"30251008\"]\n  27 [size=\"38072320\", alpha=\"0.15\", expect_size=\"19036160\"] \n  27 -> 36 [size =\"19036160\"]\n  27 -> 37 [size =\"19036160\"]\n  27 -> 41 [size =\"19036160\"]\n  27 -> 46 [size =\"19036160\"]\n  27 -> 50 [size =\"19036160\"]\n  28 [size=\"26193920\", alpha=\"0.12\", expect_size=\"13096960\"] \n  28 -> 35 [size =\"13096960\"]\n  28 -> 36 [size =\"13096960\"]\n  28 -> 43 [size =\"13096960\"]\n  28 -> 48 [size =\"13096960\"]\n  28 -> 50 [size =\"13096960\"]\n  29 [size=\"58294272\", alpha=\"0.16\", expect_size=\"29147136\"] \n  29 -> 35 [size =\"29147136\"]\n  29 -> 36 [size =\"29147136\"]\n  29 -> 50 [size =\"29147136\"]\n  30 [size=\"79147008\", alpha=\"0.05\", expect_size=\"39573504\"] \n  30 -> 46 [size =\"39573504\"]\n  31 [size=\"86648832\", alpha=\"0.04\", expect_size=\"43324416\"] \n  31 -> 35 [size =\"43324416\"]\n  31 -> 37 [size =\"43324416\"]\n  31 -> 39 [size =\"43324416\"]\n  31 -> 40 [size =\"43324416\"]\n  31 -> 42 [size =\"43324416\"]\n  31 -> 48 [size =\"43324416\"]\n  31 -> 50 [size =\"43324416\"]\n  32 [size=\"79210496\", alpha=\"0.00\", expect_size=\"39605248\"] \n  32 -> 40 [size =\"39605248\"]\n  32 -> 41 [size =\"39605248\"]\n  32 -> 42 [size =\"39605248\"]\n  32 -> 47 [size =\"39605248\"]\n  32 -> 49 [size =\"39605248\"]\n  32 -> 50 [size =\"39605248\"]\n  33 [size=\"92375040\", alpha=\"0.03\", expect_size=\"46187520\"] \n  33 -> 35 [size =\"46187520\"]\n  33 -> 37 [size =\"46187520\"]\n  33 -> 40 [size =\"46187520\"]\n  33 -> 41 [size =\"46187520\"]\n  33 -> 47 [size =\"46187520\"]\n  34 [size=\"95563776\", alpha=\"0.05\", expect_size=\"47781888\"] \n  34 -> 40 [size =\"47781888\"]\n  34 -> 41 [size =\"47781888\"]\n  34 -> 43 [size =\"47781888\"]\n  34 -> 50 [size =\"47781888\"]\n  35 [size=\"81195008\", alpha=\"0.01\", expect_size=\"40597504\"] \n  36 [size=\"53090304\", alpha=\"0.12\", expect_size=\"26545152\"] \n  37 [size=\"75317248\", alpha=\"0.05\", expect_size=\"37658624\"] \n  38 [size=\"52500480\", alpha=\"0.16\", expect_size=\"26250240\"] \n  39 [size=\"14462976\", alpha=\"0.02\", expect_size=\"7231488\"] \n  40 [size=\"87990272\", alpha=\"0.01\", expect_size=\"43995136\"] \n  41 [size=\"18905088\", alpha=\"0.04\", expect_size=\"9452544\"] \n  42 [size=\"36591616\", alpha=\"0.00\", expect_size=\"18295808\"] \n  43 [size=\"38291456\", alpha=\"0.03\", expect_size=\"19145728\"] \n  44 [size=\"52131840\", alpha=\"0.01\", expect_size=\"26065920\"] \n  45 [size=\"76363776\", alpha=\"0.19\", expect_size=\"38181888\"] \n  46 [size=\"80943104\", alpha=\"0.07\", expect_size=\"40471552\"] \n  47 [size=\"44634112\", alpha=\"0.01\", expect_size=\"22317056\"] \n  48 [size=\"66183168\", alpha=\"0.18\", expect_size=\"33091584\"] \n  49 [size=\"45940736\", alpha=\"0.06\", expect_size=\"22970368\"] \n  50 [size=\"53204992\", alpha=\"0.08\", expect_size=\"26602496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.974.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43198464\", alpha=\"0.16\", expect_size=\"21599232\"] \n  1 -> 18 [size =\"21599232\"]\n  1 -> 19 [size =\"21599232\"]\n  1 -> 21 [size =\"21599232\"]\n  1 -> 27 [size =\"21599232\"]\n  1 -> 30 [size =\"21599232\"]\n  1 -> 31 [size =\"21599232\"]\n  2 [size=\"55261184\", alpha=\"0.11\", expect_size=\"27630592\"] \n  2 -> 18 [size =\"27630592\"]\n  2 -> 22 [size =\"27630592\"]\n  2 -> 27 [size =\"27630592\"]\n  2 -> 27 [size =\"27630592\"]\n  2 -> 28 [size =\"27630592\"]\n  2 -> 31 [size =\"27630592\"]\n  3 [size=\"29304832\", alpha=\"0.01\", expect_size=\"14652416\"] \n  3 -> 18 [size =\"14652416\"]\n  3 -> 20 [size =\"14652416\"]\n  3 -> 21 [size =\"14652416\"]\n  3 -> 22 [size =\"14652416\"]\n  3 -> 23 [size =\"14652416\"]\n  3 -> 24 [size =\"14652416\"]\n  3 -> 31 [size =\"14652416\"]\n  4 [size=\"85977088\", alpha=\"0.05\", expect_size=\"42988544\"] \n  4 -> 18 [size =\"42988544\"]\n  4 -> 20 [size =\"42988544\"]\n  4 -> 21 [size =\"42988544\"]\n  4 -> 27 [size =\"42988544\"]\n  4 -> 29 [size =\"42988544\"]\n  4 -> 31 [size =\"42988544\"]\n  4 -> 31 [size =\"42988544\"]\n  5 [size=\"53143552\", alpha=\"0.02\", expect_size=\"26571776\"] \n  5 -> 18 [size =\"26571776\"]\n  5 -> 21 [size =\"26571776\"]\n  5 -> 21 [size =\"26571776\"]\n  5 -> 23 [size =\"26571776\"]\n  5 -> 27 [size =\"26571776\"]\n  5 -> 28 [size =\"26571776\"]\n  6 [size=\"66107392\", alpha=\"0.14\", expect_size=\"33053696\"] \n  6 -> 18 [size =\"33053696\"]\n  6 -> 20 [size =\"33053696\"]\n  6 -> 21 [size =\"33053696\"]\n  6 -> 26 [size =\"33053696\"]\n  6 -> 27 [size =\"33053696\"]\n  6 -> 28 [size =\"33053696\"]\n  6 -> 31 [size =\"33053696\"]\n  7 [size=\"85657600\", alpha=\"0.18\", expect_size=\"42828800\"] \n  7 -> 18 [size =\"42828800\"]\n  7 -> 21 [size =\"42828800\"]\n  7 -> 24 [size =\"42828800\"]\n  7 -> 26 [size =\"42828800\"]\n  7 -> 27 [size =\"42828800\"]\n  7 -> 28 [size =\"42828800\"]\n  8 [size=\"80367616\", alpha=\"0.05\", expect_size=\"40183808\"] \n  8 -> 18 [size =\"40183808\"]\n  8 -> 21 [size =\"40183808\"]\n  8 -> 26 [size =\"40183808\"]\n  8 -> 28 [size =\"40183808\"]\n  8 -> 31 [size =\"40183808\"]\n  9 [size=\"20963328\", alpha=\"0.02\", expect_size=\"10481664\"] \n  9 -> 18 [size =\"10481664\"]\n  9 -> 21 [size =\"10481664\"]\n  9 -> 23 [size =\"10481664\"]\n  9 -> 24 [size =\"10481664\"]\n  9 -> 26 [size =\"10481664\"]\n  9 -> 27 [size =\"10481664\"]\n  9 -> 29 [size =\"10481664\"]\n  10 [size=\"95389696\", alpha=\"0.13\", expect_size=\"47694848\"] \n  10 -> 18 [size =\"47694848\"]\n  10 -> 21 [size =\"47694848\"]\n  10 -> 23 [size =\"47694848\"]\n  10 -> 26 [size =\"47694848\"]\n  10 -> 26 [size =\"47694848\"]\n  10 -> 28 [size =\"47694848\"]\n  11 [size=\"14163968\", alpha=\"0.20\", expect_size=\"7081984\"] \n  11 -> 19 [size =\"7081984\"]\n  11 -> 20 [size =\"7081984\"]\n  11 -> 21 [size =\"7081984\"]\n  11 -> 22 [size =\"7081984\"]\n  11 -> 24 [size =\"7081984\"]\n  11 -> 28 [size =\"7081984\"]\n  11 -> 29 [size =\"7081984\"]\n  11 -> 31 [size =\"7081984\"]\n  12 [size=\"90519552\", alpha=\"0.15\", expect_size=\"45259776\"] \n  12 -> 20 [size =\"45259776\"]\n  12 -> 21 [size =\"45259776\"]\n  12 -> 23 [size =\"45259776\"]\n  12 -> 24 [size =\"45259776\"]\n  12 -> 27 [size =\"45259776\"]\n  12 -> 28 [size =\"45259776\"]\n  12 -> 31 [size =\"45259776\"]\n  13 [size=\"46536704\", alpha=\"0.10\", expect_size=\"23268352\"] \n  13 -> 18 [size =\"23268352\"]\n  13 -> 21 [size =\"23268352\"]\n  13 -> 26 [size =\"23268352\"]\n  13 -> 28 [size =\"23268352\"]\n  13 -> 30 [size =\"23268352\"]\n  13 -> 31 [size =\"23268352\"]\n  13 -> 31 [size =\"23268352\"]\n  14 [size=\"51527680\", alpha=\"0.11\", expect_size=\"25763840\"] \n  14 -> 20 [size =\"25763840\"]\n  14 -> 21 [size =\"25763840\"]\n  14 -> 24 [size =\"25763840\"]\n  14 -> 26 [size =\"25763840\"]\n  14 -> 27 [size =\"25763840\"]\n  14 -> 28 [size =\"25763840\"]\n  15 [size=\"73164800\", alpha=\"0.05\", expect_size=\"36582400\"] \n  15 -> 18 [size =\"36582400\"]\n  15 -> 22 [size =\"36582400\"]\n  15 -> 23 [size =\"36582400\"]\n  15 -> 24 [size =\"36582400\"]\n  15 -> 25 [size =\"36582400\"]\n  15 -> 26 [size =\"36582400\"]\n  15 -> 27 [size =\"36582400\"]\n  15 -> 28 [size =\"36582400\"]\n  15 -> 29 [size =\"36582400\"]\n  15 -> 31 [size =\"36582400\"]\n  16 [size=\"82892800\", alpha=\"0.07\", expect_size=\"41446400\"] \n  16 -> 18 [size =\"41446400\"]\n  16 -> 19 [size =\"41446400\"]\n  16 -> 23 [size =\"41446400\"]\n  16 -> 26 [size =\"41446400\"]\n  16 -> 27 [size =\"41446400\"]\n  16 -> 28 [size =\"41446400\"]\n  16 -> 31 [size =\"41446400\"]\n  17 [size=\"55869440\", alpha=\"0.18\", expect_size=\"27934720\"] \n  17 -> 18 [size =\"27934720\"]\n  17 -> 24 [size =\"27934720\"]\n  17 -> 27 [size =\"27934720\"]\n  17 -> 31 [size =\"27934720\"]\n  18 [size=\"48097280\", alpha=\"0.04\", expect_size=\"24048640\"] \n  18 -> 45 [size =\"24048640\"]\n  19 [size=\"72921088\", alpha=\"0.12\", expect_size=\"36460544\"] \n  19 -> 32 [size =\"36460544\"]\n  19 -> 36 [size =\"36460544\"]\n  19 -> 37 [size =\"36460544\"]\n  19 -> 40 [size =\"36460544\"]\n  19 -> 43 [size =\"36460544\"]\n  19 -> 45 [size =\"36460544\"]\n  20 [size=\"80517120\", alpha=\"0.10\", expect_size=\"40258560\"] \n  20 -> 32 [size =\"40258560\"]\n  20 -> 36 [size =\"40258560\"]\n  20 -> 37 [size =\"40258560\"]\n  20 -> 39 [size =\"40258560\"]\n  20 -> 40 [size =\"40258560\"]\n  20 -> 43 [size =\"40258560\"]\n  20 -> 45 [size =\"40258560\"]\n  20 -> 46 [size =\"40258560\"]\n  21 [size=\"49119232\", alpha=\"0.14\", expect_size=\"24559616\"] \n  21 -> 37 [size =\"24559616\"]\n  21 -> 39 [size =\"24559616\"]\n  21 -> 40 [size =\"24559616\"]\n  21 -> 43 [size =\"24559616\"]\n  21 -> 45 [size =\"24559616\"]\n  21 -> 46 [size =\"24559616\"]\n  22 [size=\"47585280\", alpha=\"0.08\", expect_size=\"23792640\"] \n  22 -> 34 [size =\"23792640\"]\n  22 -> 36 [size =\"23792640\"]\n  22 -> 37 [size =\"23792640\"]\n  22 -> 38 [size =\"23792640\"]\n  22 -> 39 [size =\"23792640\"]\n  22 -> 43 [size =\"23792640\"]\n  22 -> 45 [size =\"23792640\"]\n  22 -> 46 [size =\"23792640\"]\n  23 [size=\"25743360\", alpha=\"0.06\", expect_size=\"12871680\"] \n  23 -> 34 [size =\"12871680\"]\n  23 -> 36 [size =\"12871680\"]\n  23 -> 37 [size =\"12871680\"]\n  23 -> 38 [size =\"12871680\"]\n  23 -> 39 [size =\"12871680\"]\n  23 -> 43 [size =\"12871680\"]\n  23 -> 46 [size =\"12871680\"]\n  24 [size=\"73828352\", alpha=\"0.20\", expect_size=\"36914176\"] \n  24 -> 33 [size =\"36914176\"]\n  24 -> 38 [size =\"36914176\"]\n  24 -> 39 [size =\"36914176\"]\n  24 -> 45 [size =\"36914176\"]\n  25 [size=\"29507584\", alpha=\"0.03\", expect_size=\"14753792\"] \n  25 -> 34 [size =\"14753792\"]\n  25 -> 36 [size =\"14753792\"]\n  25 -> 37 [size =\"14753792\"]\n  25 -> 38 [size =\"14753792\"]\n  25 -> 39 [size =\"14753792\"]\n  25 -> 40 [size =\"14753792\"]\n  26 [size=\"51625984\", alpha=\"0.18\", expect_size=\"25812992\"] \n  26 -> 34 [size =\"25812992\"]\n  26 -> 36 [size =\"25812992\"]\n  26 -> 38 [size =\"25812992\"]\n  26 -> 39 [size =\"25812992\"]\n  26 -> 39 [size =\"25812992\"]\n  26 -> 40 [size =\"25812992\"]\n  26 -> 45 [size =\"25812992\"]\n  27 [size=\"86016000\", alpha=\"0.08\", expect_size=\"43008000\"] \n  27 -> 33 [size =\"43008000\"]\n  27 -> 34 [size =\"43008000\"]\n  27 -> 35 [size =\"43008000\"]\n  27 -> 36 [size =\"43008000\"]\n  27 -> 37 [size =\"43008000\"]\n  27 -> 38 [size =\"43008000\"]\n  27 -> 39 [size =\"43008000\"]\n  27 -> 40 [size =\"43008000\"]\n  28 [size=\"78264320\", alpha=\"0.14\", expect_size=\"39132160\"] \n  28 -> 33 [size =\"39132160\"]\n  28 -> 34 [size =\"39132160\"]\n  28 -> 36 [size =\"39132160\"]\n  28 -> 36 [size =\"39132160\"]\n  28 -> 37 [size =\"39132160\"]\n  28 -> 39 [size =\"39132160\"]\n  28 -> 40 [size =\"39132160\"]\n  28 -> 42 [size =\"39132160\"]\n  28 -> 43 [size =\"39132160\"]\n  28 -> 44 [size =\"39132160\"]\n  28 -> 46 [size =\"39132160\"]\n  29 [size=\"94783488\", alpha=\"0.01\", expect_size=\"47391744\"] \n  29 -> 34 [size =\"47391744\"]\n  29 -> 34 [size =\"47391744\"]\n  29 -> 39 [size =\"47391744\"]\n  29 -> 45 [size =\"47391744\"]\n  30 [size=\"57249792\", alpha=\"0.07\", expect_size=\"28624896\"] \n  30 -> 32 [size =\"28624896\"]\n  30 -> 33 [size =\"28624896\"]\n  30 -> 34 [size =\"28624896\"]\n  30 -> 35 [size =\"28624896\"]\n  30 -> 36 [size =\"28624896\"]\n  30 -> 37 [size =\"28624896\"]\n  30 -> 42 [size =\"28624896\"]\n  30 -> 45 [size =\"28624896\"]\n  31 [size=\"102371328\", alpha=\"0.14\", expect_size=\"51185664\"] \n  31 -> 32 [size =\"51185664\"]\n  31 -> 33 [size =\"51185664\"]\n  31 -> 36 [size =\"51185664\"]\n  31 -> 37 [size =\"51185664\"]\n  31 -> 39 [size =\"51185664\"]\n  31 -> 40 [size =\"51185664\"]\n  31 -> 41 [size =\"51185664\"]\n  31 -> 45 [size =\"51185664\"]\n  31 -> 46 [size =\"51185664\"]\n  32 [size=\"74115072\", alpha=\"0.17\", expect_size=\"37057536\"] \n  32 -> 48 [size =\"37057536\"]\n  32 -> 49 [size =\"37057536\"]\n  33 [size=\"17258496\", alpha=\"0.08\", expect_size=\"8629248\"] \n  33 -> 49 [size =\"8629248\"]\n  33 -> 49 [size =\"8629248\"]\n  34 [size=\"44990464\", alpha=\"0.08\", expect_size=\"22495232\"] \n  34 -> 49 [size =\"22495232\"]\n  35 [size=\"44062720\", alpha=\"0.01\", expect_size=\"22031360\"] \n  35 -> 47 [size =\"22031360\"]\n  35 -> 48 [size =\"22031360\"]\n  35 -> 49 [size =\"22031360\"]\n  36 [size=\"57131008\", alpha=\"0.09\", expect_size=\"28565504\"] \n  36 -> 47 [size =\"28565504\"]\n  36 -> 48 [size =\"28565504\"]\n  36 -> 49 [size =\"28565504\"]\n  37 [size=\"45447168\", alpha=\"0.07\", expect_size=\"22723584\"] \n  37 -> 50 [size =\"22723584\"]\n  38 [size=\"84183040\", alpha=\"0.13\", expect_size=\"42091520\"] \n  38 -> 47 [size =\"42091520\"]\n  38 -> 49 [size =\"42091520\"]\n  38 -> 50 [size =\"42091520\"]\n  39 [size=\"54480896\", alpha=\"0.13\", expect_size=\"27240448\"] \n  39 -> 47 [size =\"27240448\"]\n  39 -> 49 [size =\"27240448\"]\n  40 [size=\"61190144\", alpha=\"0.07\", expect_size=\"30595072\"] \n  40 -> 47 [size =\"30595072\"]\n  41 [size=\"94842880\", alpha=\"0.09\", expect_size=\"47421440\"] \n  41 -> 47 [size =\"47421440\"]\n  41 -> 50 [size =\"47421440\"]\n  42 [size=\"64747520\", alpha=\"0.19\", expect_size=\"32373760\"] \n  42 -> 47 [size =\"32373760\"]\n  42 -> 48 [size =\"32373760\"]\n  42 -> 49 [size =\"32373760\"]\n  43 [size=\"50939904\", alpha=\"0.13\", expect_size=\"25469952\"] \n  43 -> 47 [size =\"25469952\"]\n  43 -> 49 [size =\"25469952\"]\n  43 -> 50 [size =\"25469952\"]\n  44 [size=\"89468928\", alpha=\"0.19\", expect_size=\"44734464\"] \n  44 -> 47 [size =\"44734464\"]\n  44 -> 49 [size =\"44734464\"]\n  45 [size=\"32636928\", alpha=\"0.10\", expect_size=\"16318464\"] \n  45 -> 47 [size =\"16318464\"]\n  45 -> 48 [size =\"16318464\"]\n  45 -> 49 [size =\"16318464\"]\n  45 -> 50 [size =\"16318464\"]\n  46 [size=\"37494784\", alpha=\"0.10\", expect_size=\"18747392\"] \n  46 -> 48 [size =\"18747392\"]\n  46 -> 49 [size =\"18747392\"]\n  46 -> 49 [size =\"18747392\"]\n  47 [size=\"82077696\", alpha=\"0.05\", expect_size=\"41038848\"] \n  48 [size=\"23025664\", alpha=\"0.15\", expect_size=\"11512832\"] \n  49 [size=\"86697984\", alpha=\"0.03\", expect_size=\"43348992\"] \n  50 [size=\"52410368\", alpha=\"0.01\", expect_size=\"26205184\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.975.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129959253\", alpha=\"0.11\", expect_size=\"38987776\"] \n  1 -> 16 [size =\"38987776\"]\n  1 -> 17 [size =\"38987776\"]\n  1 -> 19 [size =\"38987776\"]\n  1 -> 21 [size =\"38987776\"]\n  1 -> 21 [size =\"38987776\"]\n  1 -> 22 [size =\"38987776\"]\n  2 [size=\"106328747\", alpha=\"0.04\", expect_size=\"31898624\"] \n  2 -> 16 [size =\"31898624\"]\n  2 -> 17 [size =\"31898624\"]\n  2 -> 19 [size =\"31898624\"]\n  2 -> 20 [size =\"31898624\"]\n  2 -> 21 [size =\"31898624\"]\n  2 -> 22 [size =\"31898624\"]\n  2 -> 24 [size =\"31898624\"]\n  2 -> 26 [size =\"31898624\"]\n  3 [size=\"51872427\", alpha=\"0.17\", expect_size=\"15561728\"] \n  3 -> 16 [size =\"15561728\"]\n  3 -> 17 [size =\"15561728\"]\n  3 -> 19 [size =\"15561728\"]\n  3 -> 20 [size =\"15561728\"]\n  3 -> 21 [size =\"15561728\"]\n  3 -> 22 [size =\"15561728\"]\n  4 [size=\"159614293\", alpha=\"0.13\", expect_size=\"47884288\"] \n  4 -> 16 [size =\"47884288\"]\n  4 -> 17 [size =\"47884288\"]\n  4 -> 20 [size =\"47884288\"]\n  4 -> 20 [size =\"47884288\"]\n  4 -> 23 [size =\"47884288\"]\n  4 -> 24 [size =\"47884288\"]\n  4 -> 25 [size =\"47884288\"]\n  4 -> 26 [size =\"47884288\"]\n  5 [size=\"145704960\", alpha=\"0.20\", expect_size=\"43711488\"] \n  5 -> 16 [size =\"43711488\"]\n  5 -> 20 [size =\"43711488\"]\n  5 -> 24 [size =\"43711488\"]\n  5 -> 25 [size =\"43711488\"]\n  6 [size=\"82414933\", alpha=\"0.06\", expect_size=\"24724480\"] \n  6 -> 16 [size =\"24724480\"]\n  6 -> 17 [size =\"24724480\"]\n  6 -> 19 [size =\"24724480\"]\n  6 -> 20 [size =\"24724480\"]\n  6 -> 21 [size =\"24724480\"]\n  6 -> 22 [size =\"24724480\"]\n  6 -> 23 [size =\"24724480\"]\n  6 -> 24 [size =\"24724480\"]\n  7 [size=\"49189547\", alpha=\"0.07\", expect_size=\"14756864\"] \n  7 -> 17 [size =\"14756864\"]\n  7 -> 19 [size =\"14756864\"]\n  7 -> 21 [size =\"14756864\"]\n  7 -> 22 [size =\"14756864\"]\n  7 -> 24 [size =\"14756864\"]\n  7 -> 25 [size =\"14756864\"]\n  8 [size=\"127276373\", alpha=\"0.03\", expect_size=\"38182912\"] \n  8 -> 16 [size =\"38182912\"]\n  8 -> 17 [size =\"38182912\"]\n  8 -> 19 [size =\"38182912\"]\n  8 -> 21 [size =\"38182912\"]\n  8 -> 22 [size =\"38182912\"]\n  8 -> 24 [size =\"38182912\"]\n  8 -> 26 [size =\"38182912\"]\n  9 [size=\"63788373\", alpha=\"0.16\", expect_size=\"19136512\"] \n  9 -> 16 [size =\"19136512\"]\n  9 -> 18 [size =\"19136512\"]\n  9 -> 19 [size =\"19136512\"]\n  9 -> 20 [size =\"19136512\"]\n  9 -> 21 [size =\"19136512\"]\n  9 -> 22 [size =\"19136512\"]\n  9 -> 24 [size =\"19136512\"]\n  9 -> 25 [size =\"19136512\"]\n  9 -> 26 [size =\"19136512\"]\n  10 [size=\"143151787\", alpha=\"0.10\", expect_size=\"42945536\"] \n  10 -> 16 [size =\"42945536\"]\n  10 -> 17 [size =\"42945536\"]\n  10 -> 19 [size =\"42945536\"]\n  10 -> 20 [size =\"42945536\"]\n  10 -> 21 [size =\"42945536\"]\n  10 -> 22 [size =\"42945536\"]\n  10 -> 23 [size =\"42945536\"]\n  10 -> 24 [size =\"42945536\"]\n  11 [size=\"29665280\", alpha=\"0.05\", expect_size=\"8899584\"] \n  11 -> 16 [size =\"8899584\"]\n  11 -> 17 [size =\"8899584\"]\n  11 -> 19 [size =\"8899584\"]\n  11 -> 22 [size =\"8899584\"]\n  11 -> 24 [size =\"8899584\"]\n  12 [size=\"113008640\", alpha=\"0.03\", expect_size=\"33902592\"] \n  12 -> 16 [size =\"33902592\"]\n  12 -> 17 [size =\"33902592\"]\n  12 -> 19 [size =\"33902592\"]\n  12 -> 24 [size =\"33902592\"]\n  13 [size=\"144749227\", alpha=\"0.14\", expect_size=\"43424768\"] \n  13 -> 16 [size =\"43424768\"]\n  13 -> 17 [size =\"43424768\"]\n  13 -> 19 [size =\"43424768\"]\n  13 -> 20 [size =\"43424768\"]\n  13 -> 21 [size =\"43424768\"]\n  13 -> 24 [size =\"43424768\"]\n  13 -> 25 [size =\"43424768\"]\n  14 [size=\"121746773\", alpha=\"0.14\", expect_size=\"36524032\"] \n  14 -> 16 [size =\"36524032\"]\n  14 -> 19 [size =\"36524032\"]\n  14 -> 19 [size =\"36524032\"]\n  14 -> 20 [size =\"36524032\"]\n  14 -> 21 [size =\"36524032\"]\n  14 -> 22 [size =\"36524032\"]\n  15 [size=\"66150400\", alpha=\"0.19\", expect_size=\"19845120\"] \n  15 -> 16 [size =\"19845120\"]\n  15 -> 17 [size =\"19845120\"]\n  15 -> 19 [size =\"19845120\"]\n  15 -> 20 [size =\"19845120\"]\n  15 -> 21 [size =\"19845120\"]\n  15 -> 22 [size =\"19845120\"]\n  16 [size=\"64153600\", alpha=\"0.05\", expect_size=\"19246080\"] \n  16 -> 27 [size =\"19246080\"]\n  16 -> 29 [size =\"19246080\"]\n  16 -> 31 [size =\"19246080\"]\n  16 -> 32 [size =\"19246080\"]\n  16 -> 33 [size =\"19246080\"]\n  16 -> 34 [size =\"19246080\"]\n  16 -> 35 [size =\"19246080\"]\n  16 -> 36 [size =\"19246080\"]\n  16 -> 37 [size =\"19246080\"]\n  16 -> 38 [size =\"19246080\"]\n  17 [size=\"114435413\", alpha=\"0.01\", expect_size=\"34330624\"] \n  17 -> 30 [size =\"34330624\"]\n  17 -> 31 [size =\"34330624\"]\n  17 -> 32 [size =\"34330624\"]\n  17 -> 34 [size =\"34330624\"]\n  17 -> 35 [size =\"34330624\"]\n  17 -> 38 [size =\"34330624\"]\n  17 -> 42 [size =\"34330624\"]\n  17 -> 43 [size =\"34330624\"]\n  18 [size=\"173294933\", alpha=\"0.14\", expect_size=\"51988480\"] \n  18 -> 31 [size =\"51988480\"]\n  18 -> 34 [size =\"51988480\"]\n  18 -> 35 [size =\"51988480\"]\n  18 -> 37 [size =\"51988480\"]\n  18 -> 38 [size =\"51988480\"]\n  18 -> 39 [size =\"51988480\"]\n  18 -> 41 [size =\"51988480\"]\n  18 -> 42 [size =\"51988480\"]\n  18 -> 43 [size =\"51988480\"]\n  19 [size=\"39789227\", alpha=\"0.05\", expect_size=\"11936768\"] \n  19 -> 27 [size =\"11936768\"]\n  19 -> 29 [size =\"11936768\"]\n  19 -> 32 [size =\"11936768\"]\n  19 -> 33 [size =\"11936768\"]\n  19 -> 34 [size =\"11936768\"]\n  19 -> 35 [size =\"11936768\"]\n  19 -> 37 [size =\"11936768\"]\n  19 -> 38 [size =\"11936768\"]\n  19 -> 39 [size =\"11936768\"]\n  19 -> 42 [size =\"11936768\"]\n  19 -> 43 [size =\"11936768\"]\n  20 [size=\"167116800\", alpha=\"0.02\", expect_size=\"50135040\"] \n  20 -> 27 [size =\"50135040\"]\n  20 -> 29 [size =\"50135040\"]\n  20 -> 30 [size =\"50135040\"]\n  20 -> 31 [size =\"50135040\"]\n  20 -> 32 [size =\"50135040\"]\n  20 -> 33 [size =\"50135040\"]\n  20 -> 34 [size =\"50135040\"]\n  20 -> 35 [size =\"50135040\"]\n  20 -> 36 [size =\"50135040\"]\n  20 -> 37 [size =\"50135040\"]\n  20 -> 38 [size =\"50135040\"]\n  20 -> 42 [size =\"50135040\"]\n  20 -> 43 [size =\"50135040\"]\n  21 [size=\"88702293\", alpha=\"0.13\", expect_size=\"26610688\"] \n  21 -> 28 [size =\"26610688\"]\n  21 -> 29 [size =\"26610688\"]\n  21 -> 32 [size =\"26610688\"]\n  21 -> 35 [size =\"26610688\"]\n  21 -> 36 [size =\"26610688\"]\n  21 -> 37 [size =\"26610688\"]\n  21 -> 38 [size =\"26610688\"]\n  21 -> 40 [size =\"26610688\"]\n  21 -> 42 [size =\"26610688\"]\n  21 -> 43 [size =\"26610688\"]\n  22 [size=\"129515520\", alpha=\"0.15\", expect_size=\"38854656\"] \n  22 -> 29 [size =\"38854656\"]\n  22 -> 30 [size =\"38854656\"]\n  22 -> 31 [size =\"38854656\"]\n  22 -> 32 [size =\"38854656\"]\n  22 -> 34 [size =\"38854656\"]\n  22 -> 35 [size =\"38854656\"]\n  22 -> 36 [size =\"38854656\"]\n  22 -> 37 [size =\"38854656\"]\n  22 -> 38 [size =\"38854656\"]\n  22 -> 41 [size =\"38854656\"]\n  22 -> 42 [size =\"38854656\"]\n  22 -> 43 [size =\"38854656\"]\n  23 [size=\"153944747\", alpha=\"0.02\", expect_size=\"46183424\"] \n  23 -> 28 [size =\"46183424\"]\n  23 -> 29 [size =\"46183424\"]\n  23 -> 31 [size =\"46183424\"]\n  23 -> 32 [size =\"46183424\"]\n  23 -> 35 [size =\"46183424\"]\n  23 -> 35 [size =\"46183424\"]\n  23 -> 36 [size =\"46183424\"]\n  23 -> 37 [size =\"46183424\"]\n  23 -> 39 [size =\"46183424\"]\n  23 -> 41 [size =\"46183424\"]\n  23 -> 42 [size =\"46183424\"]\n  23 -> 43 [size =\"46183424\"]\n  24 [size=\"109953707\", alpha=\"0.06\", expect_size=\"32986112\"] \n  24 -> 29 [size =\"32986112\"]\n  24 -> 29 [size =\"32986112\"]\n  24 -> 32 [size =\"32986112\"]\n  24 -> 33 [size =\"32986112\"]\n  24 -> 34 [size =\"32986112\"]\n  24 -> 36 [size =\"32986112\"]\n  24 -> 36 [size =\"32986112\"]\n  24 -> 37 [size =\"32986112\"]\n  24 -> 38 [size =\"32986112\"]\n  24 -> 40 [size =\"32986112\"]\n  24 -> 41 [size =\"32986112\"]\n  24 -> 42 [size =\"32986112\"]\n  24 -> 43 [size =\"32986112\"]\n  25 [size=\"66669227\", alpha=\"0.07\", expect_size=\"20000768\"] \n  25 -> 31 [size =\"20000768\"]\n  25 -> 33 [size =\"20000768\"]\n  25 -> 34 [size =\"20000768\"]\n  25 -> 36 [size =\"20000768\"]\n  25 -> 37 [size =\"20000768\"]\n  25 -> 41 [size =\"20000768\"]\n  25 -> 43 [size =\"20000768\"]\n  26 [size=\"60074667\", alpha=\"0.17\", expect_size=\"18022400\"] \n  26 -> 29 [size =\"18022400\"]\n  26 -> 30 [size =\"18022400\"]\n  26 -> 31 [size =\"18022400\"]\n  26 -> 32 [size =\"18022400\"]\n  26 -> 33 [size =\"18022400\"]\n  26 -> 34 [size =\"18022400\"]\n  26 -> 35 [size =\"18022400\"]\n  26 -> 36 [size =\"18022400\"]\n  26 -> 37 [size =\"18022400\"]\n  26 -> 38 [size =\"18022400\"]\n  26 -> 39 [size =\"18022400\"]\n  26 -> 42 [size =\"18022400\"]\n  26 -> 43 [size =\"18022400\"]\n  27 [size=\"96860160\", alpha=\"0.10\", expect_size=\"29058048\"] \n  27 -> 44 [size =\"29058048\"]\n  27 -> 45 [size =\"29058048\"]\n  27 -> 49 [size =\"29058048\"]\n  28 [size=\"101727573\", alpha=\"0.17\", expect_size=\"30518272\"] \n  28 -> 44 [size =\"30518272\"]\n  28 -> 45 [size =\"30518272\"]\n  28 -> 47 [size =\"30518272\"]\n  28 -> 48 [size =\"30518272\"]\n  28 -> 49 [size =\"30518272\"]\n  29 [size=\"56033280\", alpha=\"0.10\", expect_size=\"16809984\"] \n  29 -> 44 [size =\"16809984\"]\n  30 [size=\"97972907\", alpha=\"0.20\", expect_size=\"29391872\"] \n  30 -> 47 [size =\"29391872\"]\n  30 -> 49 [size =\"29391872\"]\n  31 [size=\"113541120\", alpha=\"0.10\", expect_size=\"34062336\"] \n  31 -> 45 [size =\"34062336\"]\n  31 -> 47 [size =\"34062336\"]\n  31 -> 50 [size =\"34062336\"]\n  32 [size=\"57941333\", alpha=\"0.13\", expect_size=\"17382400\"] \n  32 -> 45 [size =\"17382400\"]\n  32 -> 47 [size =\"17382400\"]\n  32 -> 48 [size =\"17382400\"]\n  32 -> 49 [size =\"17382400\"]\n  33 [size=\"20019200\", alpha=\"0.12\", expect_size=\"6005760\"] \n  33 -> 44 [size =\"6005760\"]\n  33 -> 45 [size =\"6005760\"]\n  33 -> 46 [size =\"6005760\"]\n  33 -> 47 [size =\"6005760\"]\n  34 [size=\"34174293\", alpha=\"0.04\", expect_size=\"10252288\"] \n  34 -> 44 [size =\"10252288\"]\n  34 -> 49 [size =\"10252288\"]\n  35 [size=\"85261653\", alpha=\"0.03\", expect_size=\"25578496\"] \n  35 -> 44 [size =\"25578496\"]\n  35 -> 48 [size =\"25578496\"]\n  35 -> 49 [size =\"25578496\"]\n  35 -> 50 [size =\"25578496\"]\n  36 [size=\"144226987\", alpha=\"0.07\", expect_size=\"43268096\"] \n  36 -> 44 [size =\"43268096\"]\n  36 -> 49 [size =\"43268096\"]\n  36 -> 50 [size =\"43268096\"]\n  37 [size=\"118722560\", alpha=\"0.04\", expect_size=\"35616768\"] \n  37 -> 44 [size =\"35616768\"]\n  37 -> 49 [size =\"35616768\"]\n  37 -> 50 [size =\"35616768\"]\n  38 [size=\"40465067\", alpha=\"0.00\", expect_size=\"12139520\"] \n  38 -> 44 [size =\"12139520\"]\n  38 -> 49 [size =\"12139520\"]\n  38 -> 50 [size =\"12139520\"]\n  39 [size=\"19254613\", alpha=\"0.20\", expect_size=\"5776384\"] \n  39 -> 44 [size =\"5776384\"]\n  39 -> 45 [size =\"5776384\"]\n  39 -> 47 [size =\"5776384\"]\n  39 -> 49 [size =\"5776384\"]\n  39 -> 50 [size =\"5776384\"]\n  40 [size=\"101410133\", alpha=\"0.18\", expect_size=\"30423040\"] \n  40 -> 45 [size =\"30423040\"]\n  40 -> 46 [size =\"30423040\"]\n  40 -> 47 [size =\"30423040\"]\n  41 [size=\"98027520\", alpha=\"0.06\", expect_size=\"29408256\"] \n  41 -> 47 [size =\"29408256\"]\n  41 -> 48 [size =\"29408256\"]\n  42 [size=\"21306027\", alpha=\"0.07\", expect_size=\"6391808\"] \n  42 -> 44 [size =\"6391808\"]\n  42 -> 45 [size =\"6391808\"]\n  42 -> 47 [size =\"6391808\"]\n  42 -> 49 [size =\"6391808\"]\n  43 [size=\"124064427\", alpha=\"0.06\", expect_size=\"37219328\"] \n  43 -> 49 [size =\"37219328\"]\n  43 -> 50 [size =\"37219328\"]\n  44 [size=\"61713067\", alpha=\"0.17\", expect_size=\"18513920\"] \n  45 [size=\"95815680\", alpha=\"0.14\", expect_size=\"28744704\"] \n  46 [size=\"117760000\", alpha=\"0.17\", expect_size=\"35328000\"] \n  47 [size=\"174223360\", alpha=\"0.09\", expect_size=\"52267008\"] \n  48 [size=\"47595520\", alpha=\"0.13\", expect_size=\"14278656\"] \n  49 [size=\"50981547\", alpha=\"0.01\", expect_size=\"15294464\"] \n  50 [size=\"49408000\", alpha=\"0.19\", expect_size=\"14822400\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.976.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77643776\", alpha=\"0.07\", expect_size=\"38821888\"] \n  1 -> 2 [size =\"38821888\"]\n  2 [size=\"41365504\", alpha=\"0.04\", expect_size=\"20682752\"] \n  2 -> 3 [size =\"20682752\"]\n  3 [size=\"57159680\", alpha=\"0.05\", expect_size=\"28579840\"] \n  3 -> 4 [size =\"28579840\"]\n  4 [size=\"103684096\", alpha=\"0.06\", expect_size=\"51842048\"] \n  4 -> 5 [size =\"51842048\"]\n  5 [size=\"77041664\", alpha=\"0.13\", expect_size=\"38520832\"] \n  5 -> 6 [size =\"38520832\"]\n  6 [size=\"90294272\", alpha=\"0.14\", expect_size=\"45147136\"] \n  6 -> 7 [size =\"45147136\"]\n  7 [size=\"33404928\", alpha=\"0.05\", expect_size=\"16702464\"] \n  7 -> 8 [size =\"16702464\"]\n  8 [size=\"59265024\", alpha=\"0.05\", expect_size=\"29632512\"] \n  8 -> 9 [size =\"29632512\"]\n  9 [size=\"53327872\", alpha=\"0.14\", expect_size=\"26663936\"] \n  9 -> 10 [size =\"26663936\"]\n  10 [size=\"101527552\", alpha=\"0.18\", expect_size=\"50763776\"] \n  10 -> 11 [size =\"50763776\"]\n  11 [size=\"91488256\", alpha=\"0.11\", expect_size=\"45744128\"] \n  11 -> 12 [size =\"45744128\"]\n  12 [size=\"28481536\", alpha=\"0.14\", expect_size=\"14240768\"] \n  12 -> 13 [size =\"14240768\"]\n  13 [size=\"45273088\", alpha=\"0.20\", expect_size=\"22636544\"] \n  13 -> 14 [size =\"22636544\"]\n  14 [size=\"67352576\", alpha=\"0.19\", expect_size=\"33676288\"] \n  14 -> 15 [size =\"33676288\"]\n  15 [size=\"94828544\", alpha=\"0.04\", expect_size=\"47414272\"] \n  15 -> 16 [size =\"47414272\"]\n  16 [size=\"61558784\", alpha=\"0.07\", expect_size=\"30779392\"] \n  16 -> 17 [size =\"30779392\"]\n  17 [size=\"33757184\", alpha=\"0.01\", expect_size=\"16878592\"] \n  17 -> 18 [size =\"16878592\"]\n  18 [size=\"59459584\", alpha=\"0.20\", expect_size=\"29729792\"] \n  18 -> 19 [size =\"29729792\"]\n  19 [size=\"81201152\", alpha=\"0.14\", expect_size=\"40600576\"] \n  19 -> 20 [size =\"40600576\"]\n  20 [size=\"50878464\", alpha=\"0.18\", expect_size=\"25439232\"] \n  20 -> 21 [size =\"25439232\"]\n  21 [size=\"40642560\", alpha=\"0.17\", expect_size=\"20321280\"] \n  21 -> 22 [size =\"20321280\"]\n  22 [size=\"90476544\", alpha=\"0.02\", expect_size=\"45238272\"] \n  22 -> 23 [size =\"45238272\"]\n  23 [size=\"62867456\", alpha=\"0.16\", expect_size=\"31433728\"] \n  23 -> 24 [size =\"31433728\"]\n  24 [size=\"61827072\", alpha=\"0.11\", expect_size=\"30913536\"] \n  24 -> 25 [size =\"30913536\"]\n  25 [size=\"58079232\", alpha=\"0.19\", expect_size=\"29039616\"] \n  25 -> 26 [size =\"29039616\"]\n  26 [size=\"79200256\", alpha=\"0.05\", expect_size=\"39600128\"] \n  26 -> 27 [size =\"39600128\"]\n  27 [size=\"19202048\", alpha=\"0.15\", expect_size=\"9601024\"] \n  27 -> 28 [size =\"9601024\"]\n  28 [size=\"22845440\", alpha=\"0.16\", expect_size=\"11422720\"] \n  28 -> 29 [size =\"11422720\"]\n  29 [size=\"21643264\", alpha=\"0.06\", expect_size=\"10821632\"] \n  29 -> 30 [size =\"10821632\"]\n  30 [size=\"89704448\", alpha=\"0.15\", expect_size=\"44852224\"] \n  30 -> 31 [size =\"44852224\"]\n  31 [size=\"82513920\", alpha=\"0.01\", expect_size=\"41256960\"] \n  31 -> 32 [size =\"41256960\"]\n  32 [size=\"67231744\", alpha=\"0.11\", expect_size=\"33615872\"] \n  32 -> 33 [size =\"33615872\"]\n  33 [size=\"74735616\", alpha=\"0.08\", expect_size=\"37367808\"] \n  33 -> 34 [size =\"37367808\"]\n  34 [size=\"57331712\", alpha=\"0.18\", expect_size=\"28665856\"] \n  34 -> 35 [size =\"28665856\"]\n  35 [size=\"13844480\", alpha=\"0.05\", expect_size=\"6922240\"] \n  35 -> 36 [size =\"6922240\"]\n  36 [size=\"10833920\", alpha=\"0.03\", expect_size=\"5416960\"] \n  36 -> 37 [size =\"5416960\"]\n  37 [size=\"33734656\", alpha=\"0.06\", expect_size=\"16867328\"] \n  37 -> 38 [size =\"16867328\"]\n  38 [size=\"11096064\", alpha=\"0.20\", expect_size=\"5548032\"] \n  38 -> 39 [size =\"5548032\"]\n  39 [size=\"86071296\", alpha=\"0.08\", expect_size=\"43035648\"] \n  39 -> 40 [size =\"43035648\"]\n  40 [size=\"18386944\", alpha=\"0.05\", expect_size=\"9193472\"] \n  40 -> 41 [size =\"9193472\"]\n  41 [size=\"87828480\", alpha=\"0.09\", expect_size=\"43914240\"] \n  41 -> 42 [size =\"43914240\"]\n  42 [size=\"92286976\", alpha=\"0.09\", expect_size=\"46143488\"] \n  42 -> 43 [size =\"46143488\"]\n  43 [size=\"49758208\", alpha=\"0.01\", expect_size=\"24879104\"] \n  43 -> 44 [size =\"24879104\"]\n  44 [size=\"89399296\", alpha=\"0.03\", expect_size=\"44699648\"] \n  44 -> 45 [size =\"44699648\"]\n  45 [size=\"79339520\", alpha=\"0.15\", expect_size=\"39669760\"] \n  45 -> 46 [size =\"39669760\"]\n  46 [size=\"103917568\", alpha=\"0.02\", expect_size=\"51958784\"] \n  46 -> 47 [size =\"51958784\"]\n  47 [size=\"25466880\", alpha=\"0.11\", expect_size=\"12733440\"] \n  47 -> 48 [size =\"12733440\"]\n  48 [size=\"56002560\", alpha=\"0.03\", expect_size=\"28001280\"] \n  48 -> 49 [size =\"28001280\"]\n  49 [size=\"55756800\", alpha=\"0.17\", expect_size=\"27878400\"] \n  49 -> 50 [size =\"27878400\"]\n  50 [size=\"95444992\", alpha=\"0.07\", expect_size=\"47722496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.977.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"14318080\", alpha=\"0.06\", expect_size=\"5727232\"] \n  1 -> 3 [size =\"5727232\"]\n  1 -> 4 [size =\"5727232\"]\n  2 [size=\"26385920\", alpha=\"0.19\", expect_size=\"10554368\"] \n  2 -> 3 [size =\"10554368\"]\n  3 [size=\"32174080\", alpha=\"0.15\", expect_size=\"12869632\"] \n  3 -> 5 [size =\"12869632\"]\n  3 -> 6 [size =\"12869632\"]\n  3 -> 7 [size =\"12869632\"]\n  4 [size=\"83806720\", alpha=\"0.13\", expect_size=\"33522688\"] \n  4 -> 7 [size =\"33522688\"]\n  5 [size=\"90695680\", alpha=\"0.06\", expect_size=\"36278272\"] \n  5 -> 8 [size =\"36278272\"]\n  6 [size=\"87539200\", alpha=\"0.08\", expect_size=\"35015680\"] \n  6 -> 9 [size =\"35015680\"]\n  7 [size=\"33218560\", alpha=\"0.03\", expect_size=\"13287424\"] \n  7 -> 9 [size =\"13287424\"]\n  8 [size=\"87208960\", alpha=\"0.12\", expect_size=\"34883584\"] \n  8 -> 12 [size =\"34883584\"]\n  9 [size=\"26255360\", alpha=\"0.18\", expect_size=\"10502144\"] \n  9 -> 10 [size =\"10502144\"]\n  9 -> 11 [size =\"10502144\"]\n  10 [size=\"56683520\", alpha=\"0.09\", expect_size=\"22673408\"] \n  10 -> 13 [size =\"22673408\"]\n  10 -> 15 [size =\"22673408\"]\n  11 [size=\"60656640\", alpha=\"0.04\", expect_size=\"24262656\"] \n  11 -> 14 [size =\"24262656\"]\n  12 [size=\"94717440\", alpha=\"0.04\", expect_size=\"37886976\"] \n  12 -> 13 [size =\"37886976\"]\n  13 [size=\"86233600\", alpha=\"0.10\", expect_size=\"34493440\"] \n  13 -> 17 [size =\"34493440\"]\n  13 -> 18 [size =\"34493440\"]\n  14 [size=\"58726400\", alpha=\"0.05\", expect_size=\"23490560\"] \n  14 -> 16 [size =\"23490560\"]\n  15 [size=\"19461120\", alpha=\"0.19\", expect_size=\"7784448\"] \n  15 -> 17 [size =\"7784448\"]\n  16 [size=\"55526400\", alpha=\"0.17\", expect_size=\"22210560\"] \n  16 -> 19 [size =\"22210560\"]\n  16 -> 20 [size =\"22210560\"]\n  17 [size=\"105095680\", alpha=\"0.00\", expect_size=\"42038272\"] \n  17 -> 19 [size =\"42038272\"]\n  18 [size=\"120289280\", alpha=\"0.06\", expect_size=\"48115712\"] \n  18 -> 20 [size =\"48115712\"]\n  19 [size=\"72501760\", alpha=\"0.13\", expect_size=\"29000704\"] \n  19 -> 22 [size =\"29000704\"]\n  20 [size=\"58291200\", alpha=\"0.00\", expect_size=\"23316480\"] \n  20 -> 21 [size =\"23316480\"]\n  21 [size=\"109962240\", alpha=\"0.08\", expect_size=\"43984896\"] \n  21 -> 24 [size =\"43984896\"]\n  21 -> 25 [size =\"43984896\"]\n  22 [size=\"16967680\", alpha=\"0.18\", expect_size=\"6787072\"] \n  22 -> 23 [size =\"6787072\"]\n  22 -> 24 [size =\"6787072\"]\n  23 [size=\"42918400\", alpha=\"0.11\", expect_size=\"17167360\"] \n  24 [size=\"104468480\", alpha=\"0.17\", expect_size=\"41787392\"] \n  24 -> 26 [size =\"41787392\"]\n  25 [size=\"15915520\", alpha=\"0.15\", expect_size=\"6366208\"] \n  25 -> 27 [size =\"6366208\"]\n  26 [size=\"125191680\", alpha=\"0.06\", expect_size=\"50076672\"] \n  26 -> 28 [size =\"50076672\"]\n  26 -> 29 [size =\"50076672\"]\n  26 -> 30 [size =\"50076672\"]\n  27 [size=\"107069440\", alpha=\"0.00\", expect_size=\"42827776\"] \n  28 [size=\"109524480\", alpha=\"0.08\", expect_size=\"43809792\"] \n  29 [size=\"27392000\", alpha=\"0.17\", expect_size=\"10956800\"] \n  29 -> 31 [size =\"10956800\"]\n  29 -> 32 [size =\"10956800\"]\n  30 [size=\"101235200\", alpha=\"0.13\", expect_size=\"40494080\"] \n  30 -> 32 [size =\"40494080\"]\n  31 [size=\"101934080\", alpha=\"0.18\", expect_size=\"40773632\"] \n  31 -> 33 [size =\"40773632\"]\n  32 [size=\"30704640\", alpha=\"0.17\", expect_size=\"12281856\"] \n  32 -> 33 [size =\"12281856\"]\n  32 -> 34 [size =\"12281856\"]\n  33 [size=\"18785280\", alpha=\"0.08\", expect_size=\"7514112\"] \n  33 -> 35 [size =\"7514112\"]\n  34 [size=\"85248000\", alpha=\"0.06\", expect_size=\"34099200\"] \n  34 -> 36 [size =\"34099200\"]\n  35 [size=\"64860160\", alpha=\"0.06\", expect_size=\"25944064\"] \n  35 -> 38 [size =\"25944064\"]\n  36 [size=\"35212800\", alpha=\"0.13\", expect_size=\"14085120\"] \n  36 -> 37 [size =\"14085120\"]\n  37 [size=\"70740480\", alpha=\"0.15\", expect_size=\"28296192\"] \n  37 -> 39 [size =\"28296192\"]\n  37 -> 40 [size =\"28296192\"]\n  38 [size=\"73589760\", alpha=\"0.16\", expect_size=\"29435904\"] \n  38 -> 39 [size =\"29435904\"]\n  38 -> 40 [size =\"29435904\"]\n  39 [size=\"117867520\", alpha=\"0.07\", expect_size=\"47147008\"] \n  39 -> 41 [size =\"47147008\"]\n  39 -> 42 [size =\"47147008\"]\n  40 [size=\"98754560\", alpha=\"0.05\", expect_size=\"39501824\"] \n  40 -> 41 [size =\"39501824\"]\n  40 -> 42 [size =\"39501824\"]\n  41 [size=\"59829760\", alpha=\"0.00\", expect_size=\"23931904\"] \n  41 -> 43 [size =\"23931904\"]\n  42 [size=\"48645120\", alpha=\"0.16\", expect_size=\"19458048\"] \n  42 -> 44 [size =\"19458048\"]\n  43 [size=\"28840960\", alpha=\"0.16\", expect_size=\"11536384\"] \n  43 -> 46 [size =\"11536384\"]\n  44 [size=\"73548800\", alpha=\"0.12\", expect_size=\"29419520\"] \n  44 -> 45 [size =\"29419520\"]\n  45 [size=\"110423040\", alpha=\"0.09\", expect_size=\"44169216\"] \n  45 -> 47 [size =\"44169216\"]\n  45 -> 48 [size =\"44169216\"]\n  45 -> 49 [size =\"44169216\"]\n  46 [size=\"27852800\", alpha=\"0.04\", expect_size=\"11141120\"] \n  46 -> 47 [size =\"11141120\"]\n  47 [size=\"104194560\", alpha=\"0.16\", expect_size=\"41677824\"] \n  47 -> 50 [size =\"41677824\"]\n  48 [size=\"77537280\", alpha=\"0.04\", expect_size=\"31014912\"] \n  49 [size=\"55068160\", alpha=\"0.14\", expect_size=\"22027264\"] \n  50 [size=\"96179200\", alpha=\"0.19\", expect_size=\"38471680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.978.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75274240\", alpha=\"0.06\", expect_size=\"30109696\"] \n  1 -> 7 [size =\"30109696\"]\n  1 -> 8 [size =\"30109696\"]\n  1 -> 9 [size =\"30109696\"]\n  1 -> 10 [size =\"30109696\"]\n  1 -> 11 [size =\"30109696\"]\n  1 -> 13 [size =\"30109696\"]\n  2 [size=\"35476480\", alpha=\"0.05\", expect_size=\"14190592\"] \n  2 -> 7 [size =\"14190592\"]\n  2 -> 10 [size =\"14190592\"]\n  2 -> 11 [size =\"14190592\"]\n  2 -> 12 [size =\"14190592\"]\n  2 -> 13 [size =\"14190592\"]\n  2 -> 13 [size =\"14190592\"]\n  3 [size=\"123461120\", alpha=\"0.12\", expect_size=\"49384448\"] \n  3 -> 7 [size =\"49384448\"]\n  3 -> 8 [size =\"49384448\"]\n  3 -> 11 [size =\"49384448\"]\n  3 -> 12 [size =\"49384448\"]\n  4 [size=\"80463360\", alpha=\"0.01\", expect_size=\"32185344\"] \n  4 -> 7 [size =\"32185344\"]\n  4 -> 8 [size =\"32185344\"]\n  4 -> 9 [size =\"32185344\"]\n  4 -> 10 [size =\"32185344\"]\n  4 -> 11 [size =\"32185344\"]\n  5 [size=\"44715520\", alpha=\"0.12\", expect_size=\"17886208\"] \n  5 -> 7 [size =\"17886208\"]\n  5 -> 8 [size =\"17886208\"]\n  5 -> 9 [size =\"17886208\"]\n  5 -> 10 [size =\"17886208\"]\n  5 -> 11 [size =\"17886208\"]\n  5 -> 13 [size =\"17886208\"]\n  6 [size=\"116669440\", alpha=\"0.11\", expect_size=\"46667776\"] \n  6 -> 7 [size =\"46667776\"]\n  6 -> 8 [size =\"46667776\"]\n  6 -> 9 [size =\"46667776\"]\n  6 -> 10 [size =\"46667776\"]\n  7 [size=\"87040000\", alpha=\"0.18\", expect_size=\"34816000\"] \n  7 -> 14 [size =\"34816000\"]\n  7 -> 15 [size =\"34816000\"]\n  7 -> 20 [size =\"34816000\"]\n  7 -> 20 [size =\"34816000\"]\n  8 [size=\"40268800\", alpha=\"0.19\", expect_size=\"16107520\"] \n  8 -> 15 [size =\"16107520\"]\n  8 -> 18 [size =\"16107520\"]\n  8 -> 19 [size =\"16107520\"]\n  8 -> 20 [size =\"16107520\"]\n  9 [size=\"118405120\", alpha=\"0.19\", expect_size=\"47362048\"] \n  10 [size=\"88709120\", alpha=\"0.10\", expect_size=\"35483648\"] \n  10 -> 15 [size =\"35483648\"]\n  10 -> 16 [size =\"35483648\"]\n  10 -> 17 [size =\"35483648\"]\n  10 -> 20 [size =\"35483648\"]\n  11 [size=\"44369920\", alpha=\"0.16\", expect_size=\"17747968\"] \n  11 -> 14 [size =\"17747968\"]\n  11 -> 15 [size =\"17747968\"]\n  11 -> 16 [size =\"17747968\"]\n  11 -> 18 [size =\"17747968\"]\n  11 -> 19 [size =\"17747968\"]\n  11 -> 20 [size =\"17747968\"]\n  12 [size=\"77158400\", alpha=\"0.09\", expect_size=\"30863360\"] \n  12 -> 14 [size =\"30863360\"]\n  12 -> 15 [size =\"30863360\"]\n  12 -> 20 [size =\"30863360\"]\n  13 [size=\"107584000\", alpha=\"0.16\", expect_size=\"43033600\"] \n  13 -> 15 [size =\"43033600\"]\n  13 -> 15 [size =\"43033600\"]\n  13 -> 19 [size =\"43033600\"]\n  13 -> 20 [size =\"43033600\"]\n  14 [size=\"57679360\", alpha=\"0.13\", expect_size=\"23071744\"] \n  14 -> 21 [size =\"23071744\"]\n  14 -> 25 [size =\"23071744\"]\n  14 -> 26 [size =\"23071744\"]\n  15 [size=\"61757440\", alpha=\"0.01\", expect_size=\"24702976\"] \n  15 -> 21 [size =\"24702976\"]\n  15 -> 23 [size =\"24702976\"]\n  15 -> 25 [size =\"24702976\"]\n  16 [size=\"15544320\", alpha=\"0.01\", expect_size=\"6217728\"] \n  16 -> 22 [size =\"6217728\"]\n  16 -> 23 [size =\"6217728\"]\n  16 -> 25 [size =\"6217728\"]\n  16 -> 26 [size =\"6217728\"]\n  17 [size=\"78983680\", alpha=\"0.01\", expect_size=\"31593472\"] \n  17 -> 22 [size =\"31593472\"]\n  17 -> 24 [size =\"31593472\"]\n  17 -> 25 [size =\"31593472\"]\n  18 [size=\"70000640\", alpha=\"0.03\", expect_size=\"28000256\"] \n  18 -> 21 [size =\"28000256\"]\n  18 -> 23 [size =\"28000256\"]\n  18 -> 24 [size =\"28000256\"]\n  18 -> 25 [size =\"28000256\"]\n  19 [size=\"62144000\", alpha=\"0.01\", expect_size=\"24857600\"] \n  19 -> 22 [size =\"24857600\"]\n  19 -> 24 [size =\"24857600\"]\n  19 -> 25 [size =\"24857600\"]\n  20 [size=\"56033280\", alpha=\"0.05\", expect_size=\"22413312\"] \n  20 -> 24 [size =\"22413312\"]\n  21 [size=\"115000320\", alpha=\"0.19\", expect_size=\"46000128\"] \n  21 -> 28 [size =\"46000128\"]\n  21 -> 29 [size =\"46000128\"]\n  21 -> 30 [size =\"46000128\"]\n  21 -> 33 [size =\"46000128\"]\n  22 [size=\"89978880\", alpha=\"0.18\", expect_size=\"35991552\"] \n  22 -> 28 [size =\"35991552\"]\n  22 -> 30 [size =\"35991552\"]\n  22 -> 31 [size =\"35991552\"]\n  22 -> 32 [size =\"35991552\"]\n  23 [size=\"24268800\", alpha=\"0.15\", expect_size=\"9707520\"] \n  23 -> 27 [size =\"9707520\"]\n  23 -> 28 [size =\"9707520\"]\n  23 -> 29 [size =\"9707520\"]\n  23 -> 30 [size =\"9707520\"]\n  23 -> 31 [size =\"9707520\"]\n  23 -> 32 [size =\"9707520\"]\n  24 [size=\"118348800\", alpha=\"0.03\", expect_size=\"47339520\"] \n  24 -> 27 [size =\"47339520\"]\n  24 -> 28 [size =\"47339520\"]\n  24 -> 29 [size =\"47339520\"]\n  24 -> 31 [size =\"47339520\"]\n  24 -> 31 [size =\"47339520\"]\n  24 -> 32 [size =\"47339520\"]\n  24 -> 33 [size =\"47339520\"]\n  25 [size=\"74255360\", alpha=\"0.17\", expect_size=\"29702144\"] \n  25 -> 28 [size =\"29702144\"]\n  25 -> 29 [size =\"29702144\"]\n  25 -> 30 [size =\"29702144\"]\n  25 -> 31 [size =\"29702144\"]\n  25 -> 32 [size =\"29702144\"]\n  25 -> 32 [size =\"29702144\"]\n  25 -> 33 [size =\"29702144\"]\n  26 [size=\"81602560\", alpha=\"0.08\", expect_size=\"32641024\"] \n  26 -> 28 [size =\"32641024\"]\n  26 -> 31 [size =\"32641024\"]\n  27 [size=\"84876800\", alpha=\"0.12\", expect_size=\"33950720\"] \n  27 -> 35 [size =\"33950720\"]\n  27 -> 36 [size =\"33950720\"]\n  27 -> 39 [size =\"33950720\"]\n  28 [size=\"88215040\", alpha=\"0.01\", expect_size=\"35286016\"] \n  28 -> 34 [size =\"35286016\"]\n  28 -> 35 [size =\"35286016\"]\n  28 -> 36 [size =\"35286016\"]\n  29 [size=\"103165440\", alpha=\"0.07\", expect_size=\"41266176\"] \n  29 -> 35 [size =\"41266176\"]\n  29 -> 36 [size =\"41266176\"]\n  29 -> 37 [size =\"41266176\"]\n  29 -> 38 [size =\"41266176\"]\n  29 -> 39 [size =\"41266176\"]\n  30 [size=\"106764800\", alpha=\"0.07\", expect_size=\"42705920\"] \n  30 -> 35 [size =\"42705920\"]\n  30 -> 36 [size =\"42705920\"]\n  30 -> 37 [size =\"42705920\"]\n  30 -> 38 [size =\"42705920\"]\n  31 [size=\"16163840\", alpha=\"0.11\", expect_size=\"6465536\"] \n  31 -> 36 [size =\"6465536\"]\n  31 -> 37 [size =\"6465536\"]\n  31 -> 38 [size =\"6465536\"]\n  31 -> 38 [size =\"6465536\"]\n  32 [size=\"129459200\", alpha=\"0.06\", expect_size=\"51783680\"] \n  32 -> 35 [size =\"51783680\"]\n  32 -> 39 [size =\"51783680\"]\n  33 [size=\"115125760\", alpha=\"0.18\", expect_size=\"46050304\"] \n  33 -> 34 [size =\"46050304\"]\n  33 -> 35 [size =\"46050304\"]\n  33 -> 36 [size =\"46050304\"]\n  33 -> 38 [size =\"46050304\"]\n  34 [size=\"83517440\", alpha=\"0.17\", expect_size=\"33406976\"] \n  34 -> 40 [size =\"33406976\"]\n  34 -> 42 [size =\"33406976\"]\n  35 [size=\"101992960\", alpha=\"0.04\", expect_size=\"40797184\"] \n  35 -> 43 [size =\"40797184\"]\n  35 -> 44 [size =\"40797184\"]\n  35 -> 46 [size =\"40797184\"]\n  36 [size=\"84195840\", alpha=\"0.12\", expect_size=\"33678336\"] \n  36 -> 40 [size =\"33678336\"]\n  36 -> 41 [size =\"33678336\"]\n  36 -> 42 [size =\"33678336\"]\n  36 -> 44 [size =\"33678336\"]\n  36 -> 46 [size =\"33678336\"]\n  37 [size=\"15723520\", alpha=\"0.10\", expect_size=\"6289408\"] \n  37 -> 41 [size =\"6289408\"]\n  37 -> 41 [size =\"6289408\"]\n  37 -> 42 [size =\"6289408\"]\n  37 -> 44 [size =\"6289408\"]\n  37 -> 45 [size =\"6289408\"]\n  37 -> 46 [size =\"6289408\"]\n  38 [size=\"88481280\", alpha=\"0.19\", expect_size=\"35392512\"] \n  38 -> 40 [size =\"35392512\"]\n  38 -> 41 [size =\"35392512\"]\n  38 -> 42 [size =\"35392512\"]\n  38 -> 43 [size =\"35392512\"]\n  38 -> 44 [size =\"35392512\"]\n  38 -> 46 [size =\"35392512\"]\n  39 [size=\"93696000\", alpha=\"0.16\", expect_size=\"37478400\"] \n  39 -> 41 [size =\"37478400\"]\n  39 -> 42 [size =\"37478400\"]\n  39 -> 43 [size =\"37478400\"]\n  39 -> 44 [size =\"37478400\"]\n  40 [size=\"18703360\", alpha=\"0.20\", expect_size=\"7481344\"] \n  40 -> 48 [size =\"7481344\"]\n  40 -> 49 [size =\"7481344\"]\n  41 [size=\"57075200\", alpha=\"0.01\", expect_size=\"22830080\"] \n  41 -> 48 [size =\"22830080\"]\n  41 -> 49 [size =\"22830080\"]\n  42 [size=\"122104320\", alpha=\"0.15\", expect_size=\"48841728\"] \n  42 -> 48 [size =\"48841728\"]\n  42 -> 50 [size =\"48841728\"]\n  43 [size=\"41917440\", alpha=\"0.11\", expect_size=\"16766976\"] \n  43 -> 48 [size =\"16766976\"]\n  43 -> 49 [size =\"16766976\"]\n  44 [size=\"28953600\", alpha=\"0.05\", expect_size=\"11581440\"] \n  44 -> 48 [size =\"11581440\"]\n  44 -> 49 [size =\"11581440\"]\n  45 [size=\"127790080\", alpha=\"0.10\", expect_size=\"51116032\"] \n  45 -> 48 [size =\"51116032\"]\n  46 [size=\"33182720\", alpha=\"0.06\", expect_size=\"13273088\"] \n  46 -> 47 [size =\"13273088\"]\n  46 -> 48 [size =\"13273088\"]\n  46 -> 49 [size =\"13273088\"]\n  46 -> 50 [size =\"13273088\"]\n  47 [size=\"101465600\", alpha=\"0.14\", expect_size=\"40586240\"] \n  48 [size=\"44618240\", alpha=\"0.15\", expect_size=\"17847296\"] \n  49 [size=\"37504000\", alpha=\"0.11\", expect_size=\"15001600\"] \n  50 [size=\"129157120\", alpha=\"0.03\", expect_size=\"51662848\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.979.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38533120\", alpha=\"0.11\", expect_size=\"15413248\"] \n  1 -> 30 [size =\"15413248\"]\n  1 -> 32 [size =\"15413248\"]\n  1 -> 34 [size =\"15413248\"]\n  1 -> 36 [size =\"15413248\"]\n  1 -> 38 [size =\"15413248\"]\n  1 -> 40 [size =\"15413248\"]\n  1 -> 41 [size =\"15413248\"]\n  1 -> 48 [size =\"15413248\"]\n  1 -> 49 [size =\"15413248\"]\n  2 [size=\"126673920\", alpha=\"0.00\", expect_size=\"50669568\"] \n  2 -> 26 [size =\"50669568\"]\n  2 -> 27 [size =\"50669568\"]\n  2 -> 30 [size =\"50669568\"]\n  2 -> 32 [size =\"50669568\"]\n  2 -> 33 [size =\"50669568\"]\n  2 -> 34 [size =\"50669568\"]\n  2 -> 35 [size =\"50669568\"]\n  2 -> 36 [size =\"50669568\"]\n  2 -> 41 [size =\"50669568\"]\n  2 -> 43 [size =\"50669568\"]\n  2 -> 46 [size =\"50669568\"]\n  2 -> 47 [size =\"50669568\"]\n  2 -> 50 [size =\"50669568\"]\n  3 [size=\"124756480\", alpha=\"0.16\", expect_size=\"49902592\"] \n  3 -> 29 [size =\"49902592\"]\n  3 -> 31 [size =\"49902592\"]\n  3 -> 36 [size =\"49902592\"]\n  3 -> 41 [size =\"49902592\"]\n  3 -> 43 [size =\"49902592\"]\n  3 -> 46 [size =\"49902592\"]\n  3 -> 47 [size =\"49902592\"]\n  4 [size=\"93178880\", alpha=\"0.18\", expect_size=\"37271552\"] \n  4 -> 25 [size =\"37271552\"]\n  4 -> 31 [size =\"37271552\"]\n  4 -> 32 [size =\"37271552\"]\n  4 -> 36 [size =\"37271552\"]\n  4 -> 43 [size =\"37271552\"]\n  4 -> 44 [size =\"37271552\"]\n  4 -> 47 [size =\"37271552\"]\n  4 -> 49 [size =\"37271552\"]\n  5 [size=\"120965120\", alpha=\"0.13\", expect_size=\"48386048\"] \n  5 -> 25 [size =\"48386048\"]\n  5 -> 30 [size =\"48386048\"]\n  5 -> 31 [size =\"48386048\"]\n  5 -> 33 [size =\"48386048\"]\n  5 -> 35 [size =\"48386048\"]\n  5 -> 37 [size =\"48386048\"]\n  5 -> 44 [size =\"48386048\"]\n  5 -> 47 [size =\"48386048\"]\n  5 -> 48 [size =\"48386048\"]\n  6 [size=\"56576000\", alpha=\"0.01\", expect_size=\"22630400\"] \n  6 -> 25 [size =\"22630400\"]\n  6 -> 26 [size =\"22630400\"]\n  6 -> 27 [size =\"22630400\"]\n  6 -> 28 [size =\"22630400\"]\n  6 -> 31 [size =\"22630400\"]\n  6 -> 32 [size =\"22630400\"]\n  6 -> 36 [size =\"22630400\"]\n  6 -> 37 [size =\"22630400\"]\n  6 -> 40 [size =\"22630400\"]\n  6 -> 41 [size =\"22630400\"]\n  6 -> 47 [size =\"22630400\"]\n  6 -> 48 [size =\"22630400\"]\n  7 [size=\"70976000\", alpha=\"0.05\", expect_size=\"28390400\"] \n  7 -> 26 [size =\"28390400\"]\n  7 -> 28 [size =\"28390400\"]\n  7 -> 30 [size =\"28390400\"]\n  7 -> 32 [size =\"28390400\"]\n  7 -> 34 [size =\"28390400\"]\n  7 -> 35 [size =\"28390400\"]\n  7 -> 43 [size =\"28390400\"]\n  7 -> 47 [size =\"28390400\"]\n  7 -> 50 [size =\"28390400\"]\n  8 [size=\"71828480\", alpha=\"0.10\", expect_size=\"28731392\"] \n  8 -> 25 [size =\"28731392\"]\n  8 -> 26 [size =\"28731392\"]\n  8 -> 30 [size =\"28731392\"]\n  8 -> 32 [size =\"28731392\"]\n  8 -> 35 [size =\"28731392\"]\n  8 -> 37 [size =\"28731392\"]\n  8 -> 38 [size =\"28731392\"]\n  8 -> 39 [size =\"28731392\"]\n  8 -> 44 [size =\"28731392\"]\n  8 -> 46 [size =\"28731392\"]\n  8 -> 47 [size =\"28731392\"]\n  8 -> 48 [size =\"28731392\"]\n  8 -> 49 [size =\"28731392\"]\n  8 -> 50 [size =\"28731392\"]\n  9 [size=\"44221440\", alpha=\"0.04\", expect_size=\"17688576\"] \n  9 -> 25 [size =\"17688576\"]\n  9 -> 27 [size =\"17688576\"]\n  9 -> 28 [size =\"17688576\"]\n  9 -> 32 [size =\"17688576\"]\n  9 -> 36 [size =\"17688576\"]\n  9 -> 40 [size =\"17688576\"]\n  10 [size=\"34455040\", alpha=\"0.06\", expect_size=\"13782016\"] \n  10 -> 25 [size =\"13782016\"]\n  10 -> 28 [size =\"13782016\"]\n  10 -> 32 [size =\"13782016\"]\n  10 -> 37 [size =\"13782016\"]\n  10 -> 38 [size =\"13782016\"]\n  10 -> 44 [size =\"13782016\"]\n  11 [size=\"82040320\", alpha=\"0.16\", expect_size=\"32816128\"] \n  11 -> 29 [size =\"32816128\"]\n  11 -> 36 [size =\"32816128\"]\n  11 -> 37 [size =\"32816128\"]\n  11 -> 37 [size =\"32816128\"]\n  11 -> 41 [size =\"32816128\"]\n  11 -> 42 [size =\"32816128\"]\n  12 [size=\"29263360\", alpha=\"0.18\", expect_size=\"11705344\"] \n  12 -> 25 [size =\"11705344\"]\n  12 -> 29 [size =\"11705344\"]\n  12 -> 31 [size =\"11705344\"]\n  12 -> 48 [size =\"11705344\"]\n  13 [size=\"30679040\", alpha=\"0.19\", expect_size=\"12271616\"] \n  13 -> 27 [size =\"12271616\"]\n  13 -> 29 [size =\"12271616\"]\n  13 -> 30 [size =\"12271616\"]\n  13 -> 31 [size =\"12271616\"]\n  13 -> 34 [size =\"12271616\"]\n  13 -> 38 [size =\"12271616\"]\n  13 -> 40 [size =\"12271616\"]\n  13 -> 43 [size =\"12271616\"]\n  13 -> 44 [size =\"12271616\"]\n  13 -> 46 [size =\"12271616\"]\n  13 -> 49 [size =\"12271616\"]\n  14 [size=\"126215680\", alpha=\"0.07\", expect_size=\"50486272\"] \n  14 -> 25 [size =\"50486272\"]\n  14 -> 27 [size =\"50486272\"]\n  14 -> 30 [size =\"50486272\"]\n  14 -> 32 [size =\"50486272\"]\n  14 -> 49 [size =\"50486272\"]\n  14 -> 50 [size =\"50486272\"]\n  15 [size=\"116497920\", alpha=\"0.11\", expect_size=\"46599168\"] \n  15 -> 25 [size =\"46599168\"]\n  15 -> 29 [size =\"46599168\"]\n  15 -> 30 [size =\"46599168\"]\n  15 -> 35 [size =\"46599168\"]\n  15 -> 37 [size =\"46599168\"]\n  15 -> 46 [size =\"46599168\"]\n  15 -> 47 [size =\"46599168\"]\n  15 -> 48 [size =\"46599168\"]\n  15 -> 50 [size =\"46599168\"]\n  16 [size=\"72522240\", alpha=\"0.10\", expect_size=\"29008896\"] \n  16 -> 26 [size =\"29008896\"]\n  16 -> 29 [size =\"29008896\"]\n  16 -> 30 [size =\"29008896\"]\n  16 -> 33 [size =\"29008896\"]\n  16 -> 35 [size =\"29008896\"]\n  16 -> 44 [size =\"29008896\"]\n  16 -> 46 [size =\"29008896\"]\n  16 -> 47 [size =\"29008896\"]\n  16 -> 48 [size =\"29008896\"]\n  17 [size=\"75696640\", alpha=\"0.17\", expect_size=\"30278656\"] \n  17 -> 26 [size =\"30278656\"]\n  17 -> 29 [size =\"30278656\"]\n  17 -> 33 [size =\"30278656\"]\n  17 -> 34 [size =\"30278656\"]\n  18 [size=\"102256640\", alpha=\"0.10\", expect_size=\"40902656\"] \n  18 -> 26 [size =\"40902656\"]\n  18 -> 28 [size =\"40902656\"]\n  18 -> 33 [size =\"40902656\"]\n  18 -> 36 [size =\"40902656\"]\n  18 -> 40 [size =\"40902656\"]\n  18 -> 48 [size =\"40902656\"]\n  19 [size=\"41640960\", alpha=\"0.02\", expect_size=\"16656384\"] \n  19 -> 25 [size =\"16656384\"]\n  19 -> 28 [size =\"16656384\"]\n  19 -> 48 [size =\"16656384\"]\n  20 [size=\"66915840\", alpha=\"0.01\", expect_size=\"26766336\"] \n  20 -> 26 [size =\"26766336\"]\n  20 -> 27 [size =\"26766336\"]\n  20 -> 29 [size =\"26766336\"]\n  20 -> 37 [size =\"26766336\"]\n  20 -> 40 [size =\"26766336\"]\n  20 -> 43 [size =\"26766336\"]\n  20 -> 46 [size =\"26766336\"]\n  20 -> 47 [size =\"26766336\"]\n  21 [size=\"102510080\", alpha=\"0.05\", expect_size=\"41004032\"] \n  21 -> 25 [size =\"41004032\"]\n  21 -> 27 [size =\"41004032\"]\n  21 -> 28 [size =\"41004032\"]\n  21 -> 32 [size =\"41004032\"]\n  21 -> 33 [size =\"41004032\"]\n  21 -> 37 [size =\"41004032\"]\n  21 -> 43 [size =\"41004032\"]\n  22 [size=\"76577280\", alpha=\"0.08\", expect_size=\"30630912\"] \n  22 -> 25 [size =\"30630912\"]\n  22 -> 26 [size =\"30630912\"]\n  22 -> 32 [size =\"30630912\"]\n  22 -> 39 [size =\"30630912\"]\n  22 -> 43 [size =\"30630912\"]\n  22 -> 45 [size =\"30630912\"]\n  22 -> 48 [size =\"30630912\"]\n  22 -> 50 [size =\"30630912\"]\n  23 [size=\"67005440\", alpha=\"0.09\", expect_size=\"26802176\"] \n  23 -> 30 [size =\"26802176\"]\n  23 -> 36 [size =\"26802176\"]\n  23 -> 37 [size =\"26802176\"]\n  23 -> 40 [size =\"26802176\"]\n  23 -> 45 [size =\"26802176\"]\n  23 -> 48 [size =\"26802176\"]\n  23 -> 50 [size =\"26802176\"]\n  24 [size=\"62945280\", alpha=\"0.05\", expect_size=\"25178112\"] \n  24 -> 26 [size =\"25178112\"]\n  24 -> 27 [size =\"25178112\"]\n  24 -> 30 [size =\"25178112\"]\n  24 -> 31 [size =\"25178112\"]\n  24 -> 32 [size =\"25178112\"]\n  24 -> 36 [size =\"25178112\"]\n  24 -> 40 [size =\"25178112\"]\n  24 -> 43 [size =\"25178112\"]\n  24 -> 44 [size =\"25178112\"]\n  25 [size=\"101893120\", alpha=\"0.18\", expect_size=\"40757248\"] \n  26 [size=\"51187200\", alpha=\"0.19\", expect_size=\"20474880\"] \n  27 [size=\"108567040\", alpha=\"0.10\", expect_size=\"43426816\"] \n  28 [size=\"90214400\", alpha=\"0.11\", expect_size=\"36085760\"] \n  29 [size=\"32368640\", alpha=\"0.17\", expect_size=\"12947456\"] \n  30 [size=\"45271040\", alpha=\"0.06\", expect_size=\"18108416\"] \n  31 [size=\"53611520\", alpha=\"0.08\", expect_size=\"21444608\"] \n  32 [size=\"82813440\", alpha=\"0.12\", expect_size=\"33125376\"] \n  33 [size=\"128476160\", alpha=\"0.19\", expect_size=\"51390464\"] \n  34 [size=\"66327040\", alpha=\"0.05\", expect_size=\"26530816\"] \n  35 [size=\"94397440\", alpha=\"0.09\", expect_size=\"37758976\"] \n  36 [size=\"84620800\", alpha=\"0.02\", expect_size=\"33848320\"] \n  37 [size=\"80468480\", alpha=\"0.07\", expect_size=\"32187392\"] \n  38 [size=\"21841920\", alpha=\"0.06\", expect_size=\"8736768\"] \n  39 [size=\"85432320\", alpha=\"0.11\", expect_size=\"34172928\"] \n  40 [size=\"66419200\", alpha=\"0.04\", expect_size=\"26567680\"] \n  41 [size=\"104120320\", alpha=\"0.13\", expect_size=\"41648128\"] \n  42 [size=\"31541760\", alpha=\"0.12\", expect_size=\"12616704\"] \n  43 [size=\"100766720\", alpha=\"0.01\", expect_size=\"40306688\"] \n  44 [size=\"93445120\", alpha=\"0.18\", expect_size=\"37378048\"] \n  45 [size=\"122685440\", alpha=\"0.10\", expect_size=\"49074176\"] \n  46 [size=\"55946240\", alpha=\"0.08\", expect_size=\"22378496\"] \n  47 [size=\"70612480\", alpha=\"0.03\", expect_size=\"28244992\"] \n  48 [size=\"111311360\", alpha=\"0.11\", expect_size=\"44524544\"] \n  49 [size=\"31260160\", alpha=\"0.02\", expect_size=\"12504064\"] \n  50 [size=\"94924800\", alpha=\"0.18\", expect_size=\"37969920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151753387\", alpha=\"0.13\", expect_size=\"45526016\"] \n  2 [size=\"76584960\", alpha=\"0.07\", expect_size=\"22975488\"] \n  3 [size=\"92453547\", alpha=\"0.14\", expect_size=\"27736064\"] \n  3 -> 9 [size =\"27736064\"]\n  4 [size=\"79889067\", alpha=\"0.16\", expect_size=\"23966720\"] \n  5 [size=\"115783680\", alpha=\"0.07\", expect_size=\"34735104\"] \n  5 -> 8 [size =\"34735104\"]\n  5 -> 9 [size =\"34735104\"]\n  5 -> 10 [size =\"34735104\"]\n  6 [size=\"89985707\", alpha=\"0.08\", expect_size=\"26995712\"] \n  6 -> 8 [size =\"26995712\"]\n  7 [size=\"142370133\", alpha=\"0.19\", expect_size=\"42711040\"] \n  8 [size=\"153838933\", alpha=\"0.00\", expect_size=\"46151680\"] \n  8 -> 11 [size =\"46151680\"]\n  8 -> 12 [size =\"46151680\"]\n  8 -> 14 [size =\"46151680\"]\n  9 [size=\"106373120\", alpha=\"0.13\", expect_size=\"31911936\"] \n  9 -> 13 [size =\"31911936\"]\n  9 -> 15 [size =\"31911936\"]\n  9 -> 16 [size =\"31911936\"]\n  9 -> 17 [size =\"31911936\"]\n  9 -> 18 [size =\"31911936\"]\n  10 [size=\"165492053\", alpha=\"0.18\", expect_size=\"49647616\"] \n  10 -> 12 [size =\"49647616\"]\n  10 -> 17 [size =\"49647616\"]\n  10 -> 18 [size =\"49647616\"]\n  11 [size=\"113254400\", alpha=\"0.08\", expect_size=\"33976320\"] \n  11 -> 19 [size =\"33976320\"]\n  11 -> 23 [size =\"33976320\"]\n  12 [size=\"58443093\", alpha=\"0.19\", expect_size=\"17532928\"] \n  12 -> 20 [size =\"17532928\"]\n  12 -> 22 [size =\"17532928\"]\n  12 -> 23 [size =\"17532928\"]\n  13 [size=\"112872107\", alpha=\"0.14\", expect_size=\"33861632\"] \n  13 -> 20 [size =\"33861632\"]\n  13 -> 22 [size =\"33861632\"]\n  13 -> 24 [size =\"33861632\"]\n  14 [size=\"65761280\", alpha=\"0.15\", expect_size=\"19728384\"] \n  14 -> 22 [size =\"19728384\"]\n  15 [size=\"35751253\", alpha=\"0.17\", expect_size=\"10725376\"] \n  15 -> 19 [size =\"10725376\"]\n  15 -> 21 [size =\"10725376\"]\n  16 [size=\"87927467\", alpha=\"0.03\", expect_size=\"26378240\"] \n  16 -> 19 [size =\"26378240\"]\n  17 [size=\"151722667\", alpha=\"0.13\", expect_size=\"45516800\"] \n  17 -> 19 [size =\"45516800\"]\n  17 -> 20 [size =\"45516800\"]\n  18 [size=\"145363627\", alpha=\"0.13\", expect_size=\"43609088\"] \n  18 -> 20 [size =\"43609088\"]\n  18 -> 22 [size =\"43609088\"]\n  18 -> 23 [size =\"43609088\"]\n  18 -> 25 [size =\"43609088\"]\n  19 [size=\"147531093\", alpha=\"0.05\", expect_size=\"44259328\"] \n  19 -> 28 [size =\"44259328\"]\n  19 -> 29 [size =\"44259328\"]\n  19 -> 30 [size =\"44259328\"]\n  19 -> 31 [size =\"44259328\"]\n  20 [size=\"91217920\", alpha=\"0.01\", expect_size=\"27365376\"] \n  20 -> 31 [size =\"27365376\"]\n  20 -> 32 [size =\"27365376\"]\n  21 [size=\"75659947\", alpha=\"0.15\", expect_size=\"22697984\"] \n  22 [size=\"137642667\", alpha=\"0.17\", expect_size=\"41292800\"] \n  23 [size=\"130088960\", alpha=\"0.07\", expect_size=\"39026688\"] \n  23 -> 26 [size =\"39026688\"]\n  23 -> 27 [size =\"39026688\"]\n  23 -> 29 [size =\"39026688\"]\n  24 [size=\"81100800\", alpha=\"0.06\", expect_size=\"24330240\"] \n  24 -> 26 [size =\"24330240\"]\n  24 -> 29 [size =\"24330240\"]\n  25 [size=\"41308160\", alpha=\"0.17\", expect_size=\"12392448\"] \n  25 -> 27 [size =\"12392448\"]\n  26 [size=\"174622720\", alpha=\"0.18\", expect_size=\"52386816\"] \n  26 -> 33 [size =\"52386816\"]\n  27 [size=\"40338773\", alpha=\"0.14\", expect_size=\"12101632\"] \n  27 -> 35 [size =\"12101632\"]\n  27 -> 38 [size =\"12101632\"]\n  28 [size=\"141864960\", alpha=\"0.08\", expect_size=\"42559488\"] \n  28 -> 35 [size =\"42559488\"]\n  28 -> 36 [size =\"42559488\"]\n  29 [size=\"88139093\", alpha=\"0.13\", expect_size=\"26441728\"] \n  29 -> 34 [size =\"26441728\"]\n  29 -> 36 [size =\"26441728\"]\n  30 [size=\"125262507\", alpha=\"0.17\", expect_size=\"37578752\"] \n  30 -> 33 [size =\"37578752\"]\n  30 -> 38 [size =\"37578752\"]\n  31 [size=\"136622080\", alpha=\"0.13\", expect_size=\"40986624\"] \n  31 -> 34 [size =\"40986624\"]\n  31 -> 36 [size =\"40986624\"]\n  31 -> 37 [size =\"40986624\"]\n  31 -> 38 [size =\"40986624\"]\n  32 [size=\"99205120\", alpha=\"0.14\", expect_size=\"29761536\"] \n  32 -> 33 [size =\"29761536\"]\n  32 -> 36 [size =\"29761536\"]\n  33 [size=\"72127147\", alpha=\"0.08\", expect_size=\"21638144\"] \n  33 -> 39 [size =\"21638144\"]\n  33 -> 41 [size =\"21638144\"]\n  34 [size=\"130365440\", alpha=\"0.07\", expect_size=\"39109632\"] \n  34 -> 39 [size =\"39109632\"]\n  35 [size=\"21763413\", alpha=\"0.09\", expect_size=\"6529024\"] \n  35 -> 41 [size =\"6529024\"]\n  35 -> 42 [size =\"6529024\"]\n  35 -> 43 [size =\"6529024\"]\n  36 [size=\"159204693\", alpha=\"0.20\", expect_size=\"47761408\"] \n  36 -> 40 [size =\"47761408\"]\n  36 -> 41 [size =\"47761408\"]\n  36 -> 42 [size =\"47761408\"]\n  37 [size=\"143336107\", alpha=\"0.08\", expect_size=\"43000832\"] \n  37 -> 40 [size =\"43000832\"]\n  38 [size=\"99058347\", alpha=\"0.12\", expect_size=\"29717504\"] \n  38 -> 40 [size =\"29717504\"]\n  38 -> 42 [size =\"29717504\"]\n  39 [size=\"162734080\", alpha=\"0.12\", expect_size=\"48820224\"] \n  39 -> 44 [size =\"48820224\"]\n  39 -> 47 [size =\"48820224\"]\n  40 [size=\"108687360\", alpha=\"0.02\", expect_size=\"32606208\"] \n  40 -> 46 [size =\"32606208\"]\n  40 -> 47 [size =\"32606208\"]\n  40 -> 48 [size =\"32606208\"]\n  41 [size=\"84937387\", alpha=\"0.20\", expect_size=\"25481216\"] \n  41 -> 44 [size =\"25481216\"]\n  41 -> 45 [size =\"25481216\"]\n  42 [size=\"29982720\", alpha=\"0.13\", expect_size=\"8994816\"] \n  42 -> 44 [size =\"8994816\"]\n  42 -> 47 [size =\"8994816\"]\n  43 [size=\"142069760\", alpha=\"0.20\", expect_size=\"42620928\"] \n  44 [size=\"44741973\", alpha=\"0.15\", expect_size=\"13422592\"] \n  44 -> 49 [size =\"13422592\"]\n  45 [size=\"100860587\", alpha=\"0.13\", expect_size=\"30258176\"] \n  45 -> 50 [size =\"30258176\"]\n  46 [size=\"171410773\", alpha=\"0.11\", expect_size=\"51423232\"] \n  46 -> 50 [size =\"51423232\"]\n  47 [size=\"169560747\", alpha=\"0.12\", expect_size=\"50868224\"] \n  47 -> 49 [size =\"50868224\"]\n  48 [size=\"72273920\", alpha=\"0.09\", expect_size=\"21682176\"] \n  49 [size=\"164724053\", alpha=\"0.15\", expect_size=\"49417216\"] \n  50 [size=\"105110187\", alpha=\"0.14\", expect_size=\"31533056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.980.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27394560\", alpha=\"0.07\", expect_size=\"10957824\"] \n  1 -> 44 [size =\"10957824\"]\n  1 -> 45 [size =\"10957824\"]\n  1 -> 50 [size =\"10957824\"]\n  2 [size=\"27532800\", alpha=\"0.18\", expect_size=\"11013120\"] \n  2 -> 33 [size =\"11013120\"]\n  2 -> 35 [size =\"11013120\"]\n  2 -> 45 [size =\"11013120\"]\n  2 -> 46 [size =\"11013120\"]\n  2 -> 50 [size =\"11013120\"]\n  3 [size=\"114483200\", alpha=\"0.07\", expect_size=\"45793280\"] \n  3 -> 35 [size =\"45793280\"]\n  3 -> 46 [size =\"45793280\"]\n  3 -> 50 [size =\"45793280\"]\n  4 [size=\"90979840\", alpha=\"0.01\", expect_size=\"36391936\"] \n  4 -> 33 [size =\"36391936\"]\n  4 -> 35 [size =\"36391936\"]\n  4 -> 36 [size =\"36391936\"]\n  4 -> 40 [size =\"36391936\"]\n  4 -> 48 [size =\"36391936\"]\n  5 [size=\"58388480\", alpha=\"0.13\", expect_size=\"23355392\"] \n  5 -> 41 [size =\"23355392\"]\n  5 -> 45 [size =\"23355392\"]\n  5 -> 46 [size =\"23355392\"]\n  5 -> 48 [size =\"23355392\"]\n  6 [size=\"90357760\", alpha=\"0.00\", expect_size=\"36143104\"] \n  6 -> 32 [size =\"36143104\"]\n  6 -> 35 [size =\"36143104\"]\n  6 -> 37 [size =\"36143104\"]\n  6 -> 46 [size =\"36143104\"]\n  6 -> 48 [size =\"36143104\"]\n  6 -> 50 [size =\"36143104\"]\n  7 [size=\"95659520\", alpha=\"0.16\", expect_size=\"38263808\"] \n  7 -> 31 [size =\"38263808\"]\n  7 -> 35 [size =\"38263808\"]\n  7 -> 43 [size =\"38263808\"]\n  7 -> 46 [size =\"38263808\"]\n  7 -> 49 [size =\"38263808\"]\n  8 [size=\"84080640\", alpha=\"0.18\", expect_size=\"33632256\"] \n  8 -> 35 [size =\"33632256\"]\n  8 -> 41 [size =\"33632256\"]\n  8 -> 45 [size =\"33632256\"]\n  8 -> 49 [size =\"33632256\"]\n  8 -> 50 [size =\"33632256\"]\n  9 [size=\"117099520\", alpha=\"0.20\", expect_size=\"46839808\"] \n  9 -> 34 [size =\"46839808\"]\n  9 -> 44 [size =\"46839808\"]\n  9 -> 49 [size =\"46839808\"]\n  9 -> 50 [size =\"46839808\"]\n  10 [size=\"84897280\", alpha=\"0.03\", expect_size=\"33958912\"] \n  10 -> 31 [size =\"33958912\"]\n  10 -> 42 [size =\"33958912\"]\n  10 -> 48 [size =\"33958912\"]\n  10 -> 49 [size =\"33958912\"]\n  10 -> 50 [size =\"33958912\"]\n  11 [size=\"101383680\", alpha=\"0.12\", expect_size=\"40553472\"] \n  11 -> 42 [size =\"40553472\"]\n  11 -> 43 [size =\"40553472\"]\n  11 -> 44 [size =\"40553472\"]\n  11 -> 47 [size =\"40553472\"]\n  11 -> 49 [size =\"40553472\"]\n  12 [size=\"24857600\", alpha=\"0.06\", expect_size=\"9943040\"] \n  12 -> 31 [size =\"9943040\"]\n  12 -> 37 [size =\"9943040\"]\n  12 -> 40 [size =\"9943040\"]\n  12 -> 41 [size =\"9943040\"]\n  12 -> 43 [size =\"9943040\"]\n  12 -> 45 [size =\"9943040\"]\n  12 -> 49 [size =\"9943040\"]\n  13 [size=\"130206720\", alpha=\"0.12\", expect_size=\"52082688\"] \n  13 -> 33 [size =\"52082688\"]\n  13 -> 38 [size =\"52082688\"]\n  13 -> 39 [size =\"52082688\"]\n  13 -> 40 [size =\"52082688\"]\n  13 -> 43 [size =\"52082688\"]\n  13 -> 46 [size =\"52082688\"]\n  14 [size=\"51586560\", alpha=\"0.13\", expect_size=\"20634624\"] \n  14 -> 40 [size =\"20634624\"]\n  14 -> 43 [size =\"20634624\"]\n  14 -> 46 [size =\"20634624\"]\n  14 -> 49 [size =\"20634624\"]\n  14 -> 50 [size =\"20634624\"]\n  15 [size=\"59535360\", alpha=\"0.05\", expect_size=\"23814144\"] \n  15 -> 43 [size =\"23814144\"]\n  15 -> 44 [size =\"23814144\"]\n  15 -> 46 [size =\"23814144\"]\n  15 -> 50 [size =\"23814144\"]\n  16 [size=\"20085760\", alpha=\"0.05\", expect_size=\"8034304\"] \n  16 -> 33 [size =\"8034304\"]\n  16 -> 34 [size =\"8034304\"]\n  16 -> 41 [size =\"8034304\"]\n  16 -> 43 [size =\"8034304\"]\n  16 -> 46 [size =\"8034304\"]\n  17 [size=\"20666880\", alpha=\"0.01\", expect_size=\"8266752\"] \n  17 -> 34 [size =\"8266752\"]\n  17 -> 41 [size =\"8266752\"]\n  17 -> 43 [size =\"8266752\"]\n  17 -> 45 [size =\"8266752\"]\n  17 -> 46 [size =\"8266752\"]\n  17 -> 47 [size =\"8266752\"]\n  17 -> 48 [size =\"8266752\"]\n  18 [size=\"117969920\", alpha=\"0.08\", expect_size=\"47187968\"] \n  18 -> 33 [size =\"47187968\"]\n  18 -> 38 [size =\"47187968\"]\n  18 -> 40 [size =\"47187968\"]\n  18 -> 45 [size =\"47187968\"]\n  18 -> 47 [size =\"47187968\"]\n  18 -> 47 [size =\"47187968\"]\n  18 -> 48 [size =\"47187968\"]\n  18 -> 50 [size =\"47187968\"]\n  19 [size=\"107822080\", alpha=\"0.01\", expect_size=\"43128832\"] \n  19 -> 33 [size =\"43128832\"]\n  19 -> 34 [size =\"43128832\"]\n  19 -> 37 [size =\"43128832\"]\n  19 -> 43 [size =\"43128832\"]\n  20 [size=\"105474560\", alpha=\"0.17\", expect_size=\"42189824\"] \n  20 -> 35 [size =\"42189824\"]\n  20 -> 45 [size =\"42189824\"]\n  20 -> 48 [size =\"42189824\"]\n  20 -> 50 [size =\"42189824\"]\n  21 [size=\"122073600\", alpha=\"0.15\", expect_size=\"48829440\"] \n  21 -> 33 [size =\"48829440\"]\n  21 -> 34 [size =\"48829440\"]\n  21 -> 37 [size =\"48829440\"]\n  21 -> 38 [size =\"48829440\"]\n  21 -> 45 [size =\"48829440\"]\n  21 -> 48 [size =\"48829440\"]\n  22 [size=\"72194560\", alpha=\"0.16\", expect_size=\"28877824\"] \n  22 -> 37 [size =\"28877824\"]\n  22 -> 38 [size =\"28877824\"]\n  22 -> 41 [size =\"28877824\"]\n  22 -> 45 [size =\"28877824\"]\n  22 -> 48 [size =\"28877824\"]\n  22 -> 48 [size =\"28877824\"]\n  22 -> 49 [size =\"28877824\"]\n  23 [size=\"107136000\", alpha=\"0.14\", expect_size=\"42854400\"] \n  23 -> 33 [size =\"42854400\"]\n  23 -> 45 [size =\"42854400\"]\n  23 -> 46 [size =\"42854400\"]\n  23 -> 47 [size =\"42854400\"]\n  24 [size=\"59220480\", alpha=\"0.06\", expect_size=\"23688192\"] \n  24 -> 33 [size =\"23688192\"]\n  24 -> 35 [size =\"23688192\"]\n  24 -> 41 [size =\"23688192\"]\n  25 [size=\"18946560\", alpha=\"0.04\", expect_size=\"7578624\"] \n  25 -> 35 [size =\"7578624\"]\n  25 -> 35 [size =\"7578624\"]\n  25 -> 37 [size =\"7578624\"]\n  25 -> 38 [size =\"7578624\"]\n  25 -> 40 [size =\"7578624\"]\n  25 -> 41 [size =\"7578624\"]\n  25 -> 45 [size =\"7578624\"]\n  25 -> 47 [size =\"7578624\"]\n  25 -> 49 [size =\"7578624\"]\n  26 [size=\"51171840\", alpha=\"0.17\", expect_size=\"20468736\"] \n  26 -> 33 [size =\"20468736\"]\n  26 -> 34 [size =\"20468736\"]\n  26 -> 35 [size =\"20468736\"]\n  26 -> 40 [size =\"20468736\"]\n  26 -> 41 [size =\"20468736\"]\n  26 -> 46 [size =\"20468736\"]\n  27 [size=\"82309120\", alpha=\"0.03\", expect_size=\"32923648\"] \n  27 -> 33 [size =\"32923648\"]\n  27 -> 41 [size =\"32923648\"]\n  27 -> 46 [size =\"32923648\"]\n  28 [size=\"85701120\", alpha=\"0.01\", expect_size=\"34280448\"] \n  28 -> 46 [size =\"34280448\"]\n  28 -> 47 [size =\"34280448\"]\n  28 -> 50 [size =\"34280448\"]\n  29 [size=\"130012160\", alpha=\"0.16\", expect_size=\"52004864\"] \n  29 -> 31 [size =\"52004864\"]\n  29 -> 37 [size =\"52004864\"]\n  29 -> 45 [size =\"52004864\"]\n  29 -> 46 [size =\"52004864\"]\n  29 -> 47 [size =\"52004864\"]\n  29 -> 50 [size =\"52004864\"]\n  30 [size=\"18342400\", alpha=\"0.04\", expect_size=\"7336960\"] \n  30 -> 33 [size =\"7336960\"]\n  30 -> 34 [size =\"7336960\"]\n  30 -> 43 [size =\"7336960\"]\n  30 -> 44 [size =\"7336960\"]\n  30 -> 47 [size =\"7336960\"]\n  30 -> 48 [size =\"7336960\"]\n  30 -> 50 [size =\"7336960\"]\n  31 [size=\"118891520\", alpha=\"0.07\", expect_size=\"47556608\"] \n  32 [size=\"92049920\", alpha=\"0.12\", expect_size=\"36819968\"] \n  33 [size=\"70213120\", alpha=\"0.16\", expect_size=\"28085248\"] \n  34 [size=\"36792320\", alpha=\"0.08\", expect_size=\"14716928\"] \n  35 [size=\"69660160\", alpha=\"0.07\", expect_size=\"27864064\"] \n  36 [size=\"96138240\", alpha=\"0.07\", expect_size=\"38455296\"] \n  37 [size=\"75509760\", alpha=\"0.08\", expect_size=\"30203904\"] \n  38 [size=\"90332160\", alpha=\"0.08\", expect_size=\"36132864\"] \n  39 [size=\"93611520\", alpha=\"0.03\", expect_size=\"37444608\"] \n  40 [size=\"71377920\", alpha=\"0.14\", expect_size=\"28551168\"] \n  41 [size=\"95418880\", alpha=\"0.04\", expect_size=\"38167552\"] \n  42 [size=\"18083840\", alpha=\"0.03\", expect_size=\"7233536\"] \n  43 [size=\"87052800\", alpha=\"0.18\", expect_size=\"34821120\"] \n  44 [size=\"65533440\", alpha=\"0.02\", expect_size=\"26213376\"] \n  45 [size=\"109967360\", alpha=\"0.06\", expect_size=\"43986944\"] \n  46 [size=\"30858240\", alpha=\"0.17\", expect_size=\"12343296\"] \n  47 [size=\"71111680\", alpha=\"0.19\", expect_size=\"28444672\"] \n  48 [size=\"120327680\", alpha=\"0.14\", expect_size=\"48131072\"] \n  49 [size=\"47436800\", alpha=\"0.08\", expect_size=\"18974720\"] \n  50 [size=\"65121280\", alpha=\"0.04\", expect_size=\"26048512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.981.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"113523200\", alpha=\"0.15\", expect_size=\"45409280\"] \n  1 -> 3 [size =\"45409280\"]\n  1 -> 4 [size =\"45409280\"]\n  1 -> 5 [size =\"45409280\"]\n  2 [size=\"113576960\", alpha=\"0.08\", expect_size=\"45430784\"] \n  3 [size=\"49692160\", alpha=\"0.03\", expect_size=\"19876864\"] \n  3 -> 6 [size =\"19876864\"]\n  4 [size=\"42216960\", alpha=\"0.11\", expect_size=\"16886784\"] \n  4 -> 7 [size =\"16886784\"]\n  5 [size=\"38394880\", alpha=\"0.13\", expect_size=\"15357952\"] \n  6 [size=\"64501760\", alpha=\"0.12\", expect_size=\"25800704\"] \n  6 -> 8 [size =\"25800704\"]\n  6 -> 9 [size =\"25800704\"]\n  7 [size=\"121761280\", alpha=\"0.01\", expect_size=\"48704512\"] \n  8 [size=\"104678400\", alpha=\"0.18\", expect_size=\"41871360\"] \n  8 -> 10 [size =\"41871360\"]\n  9 [size=\"66242560\", alpha=\"0.19\", expect_size=\"26497024\"] \n  9 -> 11 [size =\"26497024\"]\n  10 [size=\"129077760\", alpha=\"0.07\", expect_size=\"51631104\"] \n  10 -> 13 [size =\"51631104\"]\n  11 [size=\"109406720\", alpha=\"0.14\", expect_size=\"43762688\"] \n  11 -> 12 [size =\"43762688\"]\n  11 -> 14 [size =\"43762688\"]\n  12 [size=\"78279680\", alpha=\"0.01\", expect_size=\"31311872\"] \n  12 -> 17 [size =\"31311872\"]\n  13 [size=\"123036160\", alpha=\"0.12\", expect_size=\"49214464\"] \n  13 -> 16 [size =\"49214464\"]\n  14 [size=\"25528320\", alpha=\"0.03\", expect_size=\"10211328\"] \n  14 -> 15 [size =\"10211328\"]\n  15 [size=\"90708480\", alpha=\"0.19\", expect_size=\"36283392\"] \n  15 -> 18 [size =\"36283392\"]\n  16 [size=\"47216640\", alpha=\"0.05\", expect_size=\"18886656\"] \n  17 [size=\"115048960\", alpha=\"0.12\", expect_size=\"46019584\"] \n  17 -> 19 [size =\"46019584\"]\n  18 [size=\"120376320\", alpha=\"0.08\", expect_size=\"48150528\"] \n  18 -> 21 [size =\"48150528\"]\n  19 [size=\"110533120\", alpha=\"0.01\", expect_size=\"44213248\"] \n  19 -> 20 [size =\"44213248\"]\n  19 -> 22 [size =\"44213248\"]\n  20 [size=\"105251840\", alpha=\"0.18\", expect_size=\"42100736\"] \n  21 [size=\"27215360\", alpha=\"0.13\", expect_size=\"10886144\"] \n  21 -> 23 [size =\"10886144\"]\n  21 -> 24 [size =\"10886144\"]\n  22 [size=\"112040960\", alpha=\"0.04\", expect_size=\"44816384\"] \n  22 -> 23 [size =\"44816384\"]\n  23 [size=\"116070400\", alpha=\"0.02\", expect_size=\"46428160\"] \n  23 -> 25 [size =\"46428160\"]\n  23 -> 27 [size =\"46428160\"]\n  24 [size=\"70510080\", alpha=\"0.04\", expect_size=\"28204032\"] \n  24 -> 26 [size =\"28204032\"]\n  25 [size=\"89141760\", alpha=\"0.11\", expect_size=\"35656704\"] \n  26 [size=\"81011200\", alpha=\"0.06\", expect_size=\"32404480\"] \n  26 -> 29 [size =\"32404480\"]\n  27 [size=\"113000960\", alpha=\"0.00\", expect_size=\"45200384\"] \n  27 -> 28 [size =\"45200384\"]\n  28 [size=\"64074240\", alpha=\"0.10\", expect_size=\"25629696\"] \n  28 -> 31 [size =\"25629696\"]\n  28 -> 32 [size =\"25629696\"]\n  29 [size=\"109777920\", alpha=\"0.08\", expect_size=\"43911168\"] \n  29 -> 30 [size =\"43911168\"]\n  30 [size=\"117048320\", alpha=\"0.06\", expect_size=\"46819328\"] \n  30 -> 33 [size =\"46819328\"]\n  30 -> 35 [size =\"46819328\"]\n  31 [size=\"108195840\", alpha=\"0.01\", expect_size=\"43278336\"] \n  31 -> 33 [size =\"43278336\"]\n  31 -> 34 [size =\"43278336\"]\n  32 [size=\"65676800\", alpha=\"0.06\", expect_size=\"26270720\"] \n  33 [size=\"89960960\", alpha=\"0.10\", expect_size=\"35984384\"] \n  34 [size=\"99668480\", alpha=\"0.16\", expect_size=\"39867392\"] \n  34 -> 37 [size =\"39867392\"]\n  34 -> 38 [size =\"39867392\"]\n  35 [size=\"123914240\", alpha=\"0.16\", expect_size=\"49565696\"] \n  35 -> 36 [size =\"49565696\"]\n  35 -> 38 [size =\"49565696\"]\n  36 [size=\"70016000\", alpha=\"0.01\", expect_size=\"28006400\"] \n  37 [size=\"107338240\", alpha=\"0.03\", expect_size=\"42935296\"] \n  37 -> 40 [size =\"42935296\"]\n  38 [size=\"108602880\", alpha=\"0.04\", expect_size=\"43441152\"] \n  38 -> 39 [size =\"43441152\"]\n  38 -> 40 [size =\"43441152\"]\n  39 [size=\"47421440\", alpha=\"0.01\", expect_size=\"18968576\"] \n  39 -> 42 [size =\"18968576\"]\n  39 -> 43 [size =\"18968576\"]\n  40 [size=\"94894080\", alpha=\"0.14\", expect_size=\"37957632\"] \n  40 -> 41 [size =\"37957632\"]\n  41 [size=\"131061760\", alpha=\"0.09\", expect_size=\"52424704\"] \n  41 -> 45 [size =\"52424704\"]\n  42 [size=\"16294400\", alpha=\"0.01\", expect_size=\"6517760\"] \n  42 -> 44 [size =\"6517760\"]\n  43 [size=\"51699200\", alpha=\"0.10\", expect_size=\"20679680\"] \n  44 [size=\"111272960\", alpha=\"0.09\", expect_size=\"44509184\"] \n  44 -> 46 [size =\"44509184\"]\n  45 [size=\"89477120\", alpha=\"0.01\", expect_size=\"35790848\"] \n  45 -> 47 [size =\"35790848\"]\n  46 [size=\"63907840\", alpha=\"0.05\", expect_size=\"25563136\"] \n  46 -> 48 [size =\"25563136\"]\n  47 [size=\"68682240\", alpha=\"0.05\", expect_size=\"27472896\"] \n  47 -> 49 [size =\"27472896\"]\n  47 -> 50 [size =\"27472896\"]\n  48 [size=\"87774720\", alpha=\"0.14\", expect_size=\"35109888\"] \n  49 [size=\"110494720\", alpha=\"0.20\", expect_size=\"44197888\"] \n  50 [size=\"116303360\", alpha=\"0.03\", expect_size=\"46521344\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.982.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42459136\", alpha=\"0.12\", expect_size=\"21229568\"] \n  1 -> 35 [size =\"21229568\"]\n  1 -> 36 [size =\"21229568\"]\n  1 -> 37 [size =\"21229568\"]\n  1 -> 40 [size =\"21229568\"]\n  1 -> 41 [size =\"21229568\"]\n  1 -> 48 [size =\"21229568\"]\n  2 [size=\"11821056\", alpha=\"0.02\", expect_size=\"5910528\"] \n  2 -> 39 [size =\"5910528\"]\n  2 -> 40 [size =\"5910528\"]\n  2 -> 42 [size =\"5910528\"]\n  2 -> 43 [size =\"5910528\"]\n  2 -> 49 [size =\"5910528\"]\n  2 -> 50 [size =\"5910528\"]\n  3 [size=\"66324480\", alpha=\"0.18\", expect_size=\"33162240\"] \n  3 -> 34 [size =\"33162240\"]\n  3 -> 36 [size =\"33162240\"]\n  3 -> 40 [size =\"33162240\"]\n  3 -> 41 [size =\"33162240\"]\n  3 -> 42 [size =\"33162240\"]\n  3 -> 43 [size =\"33162240\"]\n  4 [size=\"87891968\", alpha=\"0.06\", expect_size=\"43945984\"] \n  4 -> 34 [size =\"43945984\"]\n  4 -> 38 [size =\"43945984\"]\n  4 -> 39 [size =\"43945984\"]\n  4 -> 40 [size =\"43945984\"]\n  4 -> 42 [size =\"43945984\"]\n  4 -> 44 [size =\"43945984\"]\n  4 -> 48 [size =\"43945984\"]\n  4 -> 49 [size =\"43945984\"]\n  5 [size=\"44967936\", alpha=\"0.18\", expect_size=\"22483968\"] \n  5 -> 39 [size =\"22483968\"]\n  5 -> 40 [size =\"22483968\"]\n  5 -> 44 [size =\"22483968\"]\n  5 -> 48 [size =\"22483968\"]\n  6 [size=\"79392768\", alpha=\"0.03\", expect_size=\"39696384\"] \n  6 -> 34 [size =\"39696384\"]\n  6 -> 39 [size =\"39696384\"]\n  6 -> 45 [size =\"39696384\"]\n  6 -> 50 [size =\"39696384\"]\n  7 [size=\"58732544\", alpha=\"0.13\", expect_size=\"29366272\"] \n  7 -> 36 [size =\"29366272\"]\n  7 -> 48 [size =\"29366272\"]\n  7 -> 49 [size =\"29366272\"]\n  7 -> 50 [size =\"29366272\"]\n  8 [size=\"68296704\", alpha=\"0.07\", expect_size=\"34148352\"] \n  8 -> 35 [size =\"34148352\"]\n  8 -> 37 [size =\"34148352\"]\n  8 -> 42 [size =\"34148352\"]\n  8 -> 45 [size =\"34148352\"]\n  8 -> 46 [size =\"34148352\"]\n  8 -> 48 [size =\"34148352\"]\n  8 -> 49 [size =\"34148352\"]\n  9 [size=\"81496064\", alpha=\"0.18\", expect_size=\"40748032\"] \n  9 -> 34 [size =\"40748032\"]\n  9 -> 40 [size =\"40748032\"]\n  9 -> 41 [size =\"40748032\"]\n  9 -> 42 [size =\"40748032\"]\n  9 -> 45 [size =\"40748032\"]\n  9 -> 46 [size =\"40748032\"]\n  9 -> 49 [size =\"40748032\"]\n  10 [size=\"95625216\", alpha=\"0.10\", expect_size=\"47812608\"] \n  10 -> 34 [size =\"47812608\"]\n  10 -> 40 [size =\"47812608\"]\n  10 -> 41 [size =\"47812608\"]\n  10 -> 42 [size =\"47812608\"]\n  10 -> 47 [size =\"47812608\"]\n  10 -> 48 [size =\"47812608\"]\n  10 -> 50 [size =\"47812608\"]\n  11 [size=\"29536256\", alpha=\"0.14\", expect_size=\"14768128\"] \n  11 -> 40 [size =\"14768128\"]\n  11 -> 42 [size =\"14768128\"]\n  11 -> 44 [size =\"14768128\"]\n  11 -> 48 [size =\"14768128\"]\n  12 [size=\"85829632\", alpha=\"0.08\", expect_size=\"42914816\"] \n  12 -> 38 [size =\"42914816\"]\n  12 -> 40 [size =\"42914816\"]\n  12 -> 42 [size =\"42914816\"]\n  12 -> 44 [size =\"42914816\"]\n  12 -> 46 [size =\"42914816\"]\n  13 [size=\"93755392\", alpha=\"0.01\", expect_size=\"46877696\"] \n  13 -> 35 [size =\"46877696\"]\n  13 -> 37 [size =\"46877696\"]\n  13 -> 42 [size =\"46877696\"]\n  13 -> 44 [size =\"46877696\"]\n  13 -> 45 [size =\"46877696\"]\n  14 [size=\"82837504\", alpha=\"0.04\", expect_size=\"41418752\"] \n  14 -> 35 [size =\"41418752\"]\n  14 -> 36 [size =\"41418752\"]\n  14 -> 37 [size =\"41418752\"]\n  14 -> 40 [size =\"41418752\"]\n  14 -> 42 [size =\"41418752\"]\n  14 -> 45 [size =\"41418752\"]\n  14 -> 47 [size =\"41418752\"]\n  14 -> 48 [size =\"41418752\"]\n  15 [size=\"15816704\", alpha=\"0.04\", expect_size=\"7908352\"] \n  15 -> 34 [size =\"7908352\"]\n  15 -> 40 [size =\"7908352\"]\n  15 -> 44 [size =\"7908352\"]\n  15 -> 48 [size =\"7908352\"]\n  16 [size=\"101715968\", alpha=\"0.09\", expect_size=\"50857984\"] \n  16 -> 34 [size =\"50857984\"]\n  16 -> 44 [size =\"50857984\"]\n  16 -> 44 [size =\"50857984\"]\n  16 -> 48 [size =\"50857984\"]\n  16 -> 49 [size =\"50857984\"]\n  17 [size=\"23760896\", alpha=\"0.19\", expect_size=\"11880448\"] \n  17 -> 42 [size =\"11880448\"]\n  18 [size=\"86218752\", alpha=\"0.15\", expect_size=\"43109376\"] \n  18 -> 34 [size =\"43109376\"]\n  18 -> 37 [size =\"43109376\"]\n  18 -> 44 [size =\"43109376\"]\n  18 -> 45 [size =\"43109376\"]\n  18 -> 49 [size =\"43109376\"]\n  19 [size=\"25978880\", alpha=\"0.05\", expect_size=\"12989440\"] \n  19 -> 34 [size =\"12989440\"]\n  19 -> 36 [size =\"12989440\"]\n  19 -> 37 [size =\"12989440\"]\n  19 -> 42 [size =\"12989440\"]\n  19 -> 44 [size =\"12989440\"]\n  19 -> 46 [size =\"12989440\"]\n  19 -> 47 [size =\"12989440\"]\n  19 -> 50 [size =\"12989440\"]\n  20 [size=\"15245312\", alpha=\"0.01\", expect_size=\"7622656\"] \n  20 -> 34 [size =\"7622656\"]\n  20 -> 37 [size =\"7622656\"]\n  20 -> 37 [size =\"7622656\"]\n  20 -> 38 [size =\"7622656\"]\n  20 -> 40 [size =\"7622656\"]\n  20 -> 45 [size =\"7622656\"]\n  20 -> 47 [size =\"7622656\"]\n  20 -> 49 [size =\"7622656\"]\n  21 [size=\"61192192\", alpha=\"0.04\", expect_size=\"30596096\"] \n  21 -> 34 [size =\"30596096\"]\n  21 -> 40 [size =\"30596096\"]\n  21 -> 41 [size =\"30596096\"]\n  21 -> 42 [size =\"30596096\"]\n  21 -> 45 [size =\"30596096\"]\n  21 -> 48 [size =\"30596096\"]\n  22 [size=\"33955840\", alpha=\"0.07\", expect_size=\"16977920\"] \n  22 -> 34 [size =\"16977920\"]\n  22 -> 36 [size =\"16977920\"]\n  22 -> 39 [size =\"16977920\"]\n  22 -> 40 [size =\"16977920\"]\n  22 -> 41 [size =\"16977920\"]\n  22 -> 42 [size =\"16977920\"]\n  22 -> 45 [size =\"16977920\"]\n  23 [size=\"70150144\", alpha=\"0.02\", expect_size=\"35075072\"] \n  23 -> 34 [size =\"35075072\"]\n  23 -> 38 [size =\"35075072\"]\n  23 -> 39 [size =\"35075072\"]\n  23 -> 40 [size =\"35075072\"]\n  23 -> 41 [size =\"35075072\"]\n  23 -> 42 [size =\"35075072\"]\n  23 -> 46 [size =\"35075072\"]\n  24 [size=\"73027584\", alpha=\"0.13\", expect_size=\"36513792\"] \n  24 -> 34 [size =\"36513792\"]\n  24 -> 37 [size =\"36513792\"]\n  24 -> 41 [size =\"36513792\"]\n  24 -> 48 [size =\"36513792\"]\n  24 -> 50 [size =\"36513792\"]\n  25 [size=\"93149184\", alpha=\"0.12\", expect_size=\"46574592\"] \n  25 -> 34 [size =\"46574592\"]\n  25 -> 37 [size =\"46574592\"]\n  25 -> 44 [size =\"46574592\"]\n  25 -> 49 [size =\"46574592\"]\n  26 [size=\"15892480\", alpha=\"0.05\", expect_size=\"7946240\"] \n  26 -> 35 [size =\"7946240\"]\n  26 -> 37 [size =\"7946240\"]\n  26 -> 38 [size =\"7946240\"]\n  26 -> 42 [size =\"7946240\"]\n  26 -> 44 [size =\"7946240\"]\n  26 -> 45 [size =\"7946240\"]\n  26 -> 48 [size =\"7946240\"]\n  26 -> 49 [size =\"7946240\"]\n  27 [size=\"59598848\", alpha=\"0.08\", expect_size=\"29799424\"] \n  27 -> 35 [size =\"29799424\"]\n  27 -> 38 [size =\"29799424\"]\n  27 -> 42 [size =\"29799424\"]\n  27 -> 44 [size =\"29799424\"]\n  27 -> 46 [size =\"29799424\"]\n  27 -> 49 [size =\"29799424\"]\n  28 [size=\"56436736\", alpha=\"0.04\", expect_size=\"28218368\"] \n  28 -> 34 [size =\"28218368\"]\n  28 -> 37 [size =\"28218368\"]\n  28 -> 45 [size =\"28218368\"]\n  28 -> 46 [size =\"28218368\"]\n  28 -> 48 [size =\"28218368\"]\n  28 -> 49 [size =\"28218368\"]\n  29 [size=\"33568768\", alpha=\"0.15\", expect_size=\"16784384\"] \n  29 -> 34 [size =\"16784384\"]\n  29 -> 37 [size =\"16784384\"]\n  29 -> 40 [size =\"16784384\"]\n  29 -> 42 [size =\"16784384\"]\n  30 [size=\"57004032\", alpha=\"0.03\", expect_size=\"28502016\"] \n  30 -> 37 [size =\"28502016\"]\n  30 -> 37 [size =\"28502016\"]\n  30 -> 40 [size =\"28502016\"]\n  30 -> 44 [size =\"28502016\"]\n  31 [size=\"61569024\", alpha=\"0.16\", expect_size=\"30784512\"] \n  31 -> 38 [size =\"30784512\"]\n  31 -> 40 [size =\"30784512\"]\n  31 -> 41 [size =\"30784512\"]\n  31 -> 42 [size =\"30784512\"]\n  31 -> 43 [size =\"30784512\"]\n  31 -> 45 [size =\"30784512\"]\n  31 -> 46 [size =\"30784512\"]\n  32 [size=\"79239168\", alpha=\"0.05\", expect_size=\"39619584\"] \n  32 -> 40 [size =\"39619584\"]\n  32 -> 41 [size =\"39619584\"]\n  32 -> 42 [size =\"39619584\"]\n  32 -> 45 [size =\"39619584\"]\n  32 -> 46 [size =\"39619584\"]\n  32 -> 49 [size =\"39619584\"]\n  33 [size=\"16977920\", alpha=\"0.11\", expect_size=\"8488960\"] \n  33 -> 37 [size =\"8488960\"]\n  33 -> 44 [size =\"8488960\"]\n  33 -> 45 [size =\"8488960\"]\n  33 -> 46 [size =\"8488960\"]\n  34 [size=\"24995840\", alpha=\"0.13\", expect_size=\"12497920\"] \n  35 [size=\"86331392\", alpha=\"0.16\", expect_size=\"43165696\"] \n  36 [size=\"46721024\", alpha=\"0.18\", expect_size=\"23360512\"] \n  37 [size=\"69445632\", alpha=\"0.03\", expect_size=\"34722816\"] \n  38 [size=\"14006272\", alpha=\"0.05\", expect_size=\"7003136\"] \n  39 [size=\"32589824\", alpha=\"0.09\", expect_size=\"16294912\"] \n  40 [size=\"101830656\", alpha=\"0.14\", expect_size=\"50915328\"] \n  41 [size=\"23756800\", alpha=\"0.10\", expect_size=\"11878400\"] \n  42 [size=\"100532224\", alpha=\"0.12\", expect_size=\"50266112\"] \n  43 [size=\"30017536\", alpha=\"0.05\", expect_size=\"15008768\"] \n  44 [size=\"84226048\", alpha=\"0.12\", expect_size=\"42113024\"] \n  45 [size=\"52393984\", alpha=\"0.17\", expect_size=\"26196992\"] \n  46 [size=\"34226176\", alpha=\"0.02\", expect_size=\"17113088\"] \n  47 [size=\"26583040\", alpha=\"0.19\", expect_size=\"13291520\"] \n  48 [size=\"42739712\", alpha=\"0.04\", expect_size=\"21369856\"] \n  49 [size=\"64057344\", alpha=\"0.15\", expect_size=\"32028672\"] \n  50 [size=\"11661312\", alpha=\"0.16\", expect_size=\"5830656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.983.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"124026880\", alpha=\"0.09\", expect_size=\"49610752\"] \n  1 -> 29 [size =\"49610752\"]\n  1 -> 31 [size =\"49610752\"]\n  1 -> 32 [size =\"49610752\"]\n  1 -> 33 [size =\"49610752\"]\n  1 -> 35 [size =\"49610752\"]\n  1 -> 38 [size =\"49610752\"]\n  1 -> 40 [size =\"49610752\"]\n  1 -> 41 [size =\"49610752\"]\n  1 -> 42 [size =\"49610752\"]\n  1 -> 47 [size =\"49610752\"]\n  2 [size=\"66339840\", alpha=\"0.13\", expect_size=\"26535936\"] \n  2 -> 29 [size =\"26535936\"]\n  2 -> 33 [size =\"26535936\"]\n  2 -> 34 [size =\"26535936\"]\n  2 -> 39 [size =\"26535936\"]\n  2 -> 41 [size =\"26535936\"]\n  3 [size=\"95365120\", alpha=\"0.18\", expect_size=\"38146048\"] \n  3 -> 29 [size =\"38146048\"]\n  3 -> 30 [size =\"38146048\"]\n  3 -> 34 [size =\"38146048\"]\n  3 -> 37 [size =\"38146048\"]\n  3 -> 40 [size =\"38146048\"]\n  3 -> 41 [size =\"38146048\"]\n  3 -> 42 [size =\"38146048\"]\n  3 -> 44 [size =\"38146048\"]\n  3 -> 45 [size =\"38146048\"]\n  4 [size=\"29350400\", alpha=\"0.08\", expect_size=\"11740160\"] \n  4 -> 28 [size =\"11740160\"]\n  4 -> 29 [size =\"11740160\"]\n  4 -> 30 [size =\"11740160\"]\n  4 -> 31 [size =\"11740160\"]\n  4 -> 34 [size =\"11740160\"]\n  4 -> 35 [size =\"11740160\"]\n  4 -> 38 [size =\"11740160\"]\n  4 -> 39 [size =\"11740160\"]\n  4 -> 44 [size =\"11740160\"]\n  4 -> 45 [size =\"11740160\"]\n  4 -> 46 [size =\"11740160\"]\n  5 [size=\"112330240\", alpha=\"0.05\", expect_size=\"44932096\"] \n  5 -> 29 [size =\"44932096\"]\n  5 -> 29 [size =\"44932096\"]\n  5 -> 30 [size =\"44932096\"]\n  5 -> 31 [size =\"44932096\"]\n  5 -> 32 [size =\"44932096\"]\n  5 -> 35 [size =\"44932096\"]\n  5 -> 37 [size =\"44932096\"]\n  5 -> 38 [size =\"44932096\"]\n  5 -> 45 [size =\"44932096\"]\n  5 -> 48 [size =\"44932096\"]\n  5 -> 50 [size =\"44932096\"]\n  6 [size=\"101570560\", alpha=\"0.20\", expect_size=\"40628224\"] \n  6 -> 30 [size =\"40628224\"]\n  6 -> 35 [size =\"40628224\"]\n  6 -> 44 [size =\"40628224\"]\n  6 -> 47 [size =\"40628224\"]\n  6 -> 48 [size =\"40628224\"]\n  6 -> 50 [size =\"40628224\"]\n  7 [size=\"89267200\", alpha=\"0.01\", expect_size=\"35706880\"] \n  7 -> 27 [size =\"35706880\"]\n  7 -> 31 [size =\"35706880\"]\n  7 -> 35 [size =\"35706880\"]\n  7 -> 40 [size =\"35706880\"]\n  7 -> 44 [size =\"35706880\"]\n  7 -> 50 [size =\"35706880\"]\n  8 [size=\"112514560\", alpha=\"0.06\", expect_size=\"45005824\"] \n  8 -> 27 [size =\"45005824\"]\n  8 -> 31 [size =\"45005824\"]\n  8 -> 33 [size =\"45005824\"]\n  8 -> 35 [size =\"45005824\"]\n  8 -> 37 [size =\"45005824\"]\n  8 -> 40 [size =\"45005824\"]\n  8 -> 41 [size =\"45005824\"]\n  8 -> 42 [size =\"45005824\"]\n  8 -> 44 [size =\"45005824\"]\n  9 [size=\"90695680\", alpha=\"0.01\", expect_size=\"36278272\"] \n  9 -> 29 [size =\"36278272\"]\n  9 -> 31 [size =\"36278272\"]\n  9 -> 37 [size =\"36278272\"]\n  9 -> 39 [size =\"36278272\"]\n  9 -> 40 [size =\"36278272\"]\n  9 -> 42 [size =\"36278272\"]\n  9 -> 44 [size =\"36278272\"]\n  9 -> 45 [size =\"36278272\"]\n  9 -> 48 [size =\"36278272\"]\n  10 [size=\"14653440\", alpha=\"0.07\", expect_size=\"5861376\"] \n  10 -> 29 [size =\"5861376\"]\n  10 -> 31 [size =\"5861376\"]\n  10 -> 36 [size =\"5861376\"]\n  10 -> 37 [size =\"5861376\"]\n  10 -> 42 [size =\"5861376\"]\n  10 -> 42 [size =\"5861376\"]\n  10 -> 44 [size =\"5861376\"]\n  10 -> 50 [size =\"5861376\"]\n  11 [size=\"88135680\", alpha=\"0.15\", expect_size=\"35254272\"] \n  11 -> 32 [size =\"35254272\"]\n  11 -> 34 [size =\"35254272\"]\n  11 -> 35 [size =\"35254272\"]\n  11 -> 37 [size =\"35254272\"]\n  11 -> 42 [size =\"35254272\"]\n  11 -> 44 [size =\"35254272\"]\n  11 -> 46 [size =\"35254272\"]\n  11 -> 50 [size =\"35254272\"]\n  12 [size=\"24568320\", alpha=\"0.12\", expect_size=\"9827328\"] \n  12 -> 28 [size =\"9827328\"]\n  12 -> 31 [size =\"9827328\"]\n  12 -> 32 [size =\"9827328\"]\n  12 -> 36 [size =\"9827328\"]\n  12 -> 37 [size =\"9827328\"]\n  12 -> 38 [size =\"9827328\"]\n  12 -> 40 [size =\"9827328\"]\n  12 -> 42 [size =\"9827328\"]\n  12 -> 44 [size =\"9827328\"]\n  12 -> 45 [size =\"9827328\"]\n  12 -> 46 [size =\"9827328\"]\n  13 [size=\"103603200\", alpha=\"0.19\", expect_size=\"41441280\"] \n  13 -> 31 [size =\"41441280\"]\n  13 -> 32 [size =\"41441280\"]\n  13 -> 34 [size =\"41441280\"]\n  13 -> 38 [size =\"41441280\"]\n  13 -> 42 [size =\"41441280\"]\n  13 -> 46 [size =\"41441280\"]\n  13 -> 48 [size =\"41441280\"]\n  13 -> 49 [size =\"41441280\"]\n  13 -> 50 [size =\"41441280\"]\n  14 [size=\"91627520\", alpha=\"0.18\", expect_size=\"36651008\"] \n  14 -> 28 [size =\"36651008\"]\n  14 -> 29 [size =\"36651008\"]\n  14 -> 34 [size =\"36651008\"]\n  14 -> 35 [size =\"36651008\"]\n  14 -> 37 [size =\"36651008\"]\n  14 -> 46 [size =\"36651008\"]\n  14 -> 48 [size =\"36651008\"]\n  14 -> 50 [size =\"36651008\"]\n  15 [size=\"19402240\", alpha=\"0.16\", expect_size=\"7760896\"] \n  15 -> 28 [size =\"7760896\"]\n  15 -> 30 [size =\"7760896\"]\n  15 -> 31 [size =\"7760896\"]\n  15 -> 34 [size =\"7760896\"]\n  15 -> 35 [size =\"7760896\"]\n  15 -> 37 [size =\"7760896\"]\n  15 -> 40 [size =\"7760896\"]\n  15 -> 45 [size =\"7760896\"]\n  15 -> 46 [size =\"7760896\"]\n  15 -> 48 [size =\"7760896\"]\n  15 -> 50 [size =\"7760896\"]\n  16 [size=\"50874880\", alpha=\"0.09\", expect_size=\"20349952\"] \n  16 -> 28 [size =\"20349952\"]\n  16 -> 30 [size =\"20349952\"]\n  16 -> 34 [size =\"20349952\"]\n  16 -> 35 [size =\"20349952\"]\n  16 -> 35 [size =\"20349952\"]\n  16 -> 37 [size =\"20349952\"]\n  16 -> 38 [size =\"20349952\"]\n  16 -> 41 [size =\"20349952\"]\n  16 -> 42 [size =\"20349952\"]\n  16 -> 46 [size =\"20349952\"]\n  16 -> 48 [size =\"20349952\"]\n  16 -> 50 [size =\"20349952\"]\n  17 [size=\"49666560\", alpha=\"0.11\", expect_size=\"19866624\"] \n  17 -> 27 [size =\"19866624\"]\n  17 -> 28 [size =\"19866624\"]\n  17 -> 30 [size =\"19866624\"]\n  17 -> 33 [size =\"19866624\"]\n  17 -> 41 [size =\"19866624\"]\n  17 -> 43 [size =\"19866624\"]\n  17 -> 48 [size =\"19866624\"]\n  18 [size=\"56522240\", alpha=\"0.06\", expect_size=\"22608896\"] \n  18 -> 27 [size =\"22608896\"]\n  18 -> 29 [size =\"22608896\"]\n  18 -> 30 [size =\"22608896\"]\n  18 -> 37 [size =\"22608896\"]\n  18 -> 38 [size =\"22608896\"]\n  18 -> 40 [size =\"22608896\"]\n  18 -> 43 [size =\"22608896\"]\n  18 -> 46 [size =\"22608896\"]\n  18 -> 48 [size =\"22608896\"]\n  19 [size=\"92989440\", alpha=\"0.13\", expect_size=\"37195776\"] \n  19 -> 29 [size =\"37195776\"]\n  19 -> 30 [size =\"37195776\"]\n  19 -> 30 [size =\"37195776\"]\n  19 -> 41 [size =\"37195776\"]\n  19 -> 45 [size =\"37195776\"]\n  19 -> 48 [size =\"37195776\"]\n  19 -> 50 [size =\"37195776\"]\n  20 [size=\"99827200\", alpha=\"0.13\", expect_size=\"39930880\"] \n  20 -> 29 [size =\"39930880\"]\n  20 -> 31 [size =\"39930880\"]\n  20 -> 39 [size =\"39930880\"]\n  20 -> 40 [size =\"39930880\"]\n  20 -> 41 [size =\"39930880\"]\n  20 -> 42 [size =\"39930880\"]\n  20 -> 43 [size =\"39930880\"]\n  20 -> 47 [size =\"39930880\"]\n  20 -> 48 [size =\"39930880\"]\n  20 -> 50 [size =\"39930880\"]\n  21 [size=\"25817600\", alpha=\"0.13\", expect_size=\"10327040\"] \n  21 -> 31 [size =\"10327040\"]\n  21 -> 33 [size =\"10327040\"]\n  21 -> 35 [size =\"10327040\"]\n  21 -> 39 [size =\"10327040\"]\n  21 -> 40 [size =\"10327040\"]\n  21 -> 41 [size =\"10327040\"]\n  21 -> 42 [size =\"10327040\"]\n  21 -> 48 [size =\"10327040\"]\n  21 -> 48 [size =\"10327040\"]\n  22 [size=\"112404480\", alpha=\"0.01\", expect_size=\"44961792\"] \n  22 -> 36 [size =\"44961792\"]\n  22 -> 37 [size =\"44961792\"]\n  22 -> 38 [size =\"44961792\"]\n  22 -> 39 [size =\"44961792\"]\n  22 -> 40 [size =\"44961792\"]\n  22 -> 41 [size =\"44961792\"]\n  22 -> 43 [size =\"44961792\"]\n  22 -> 46 [size =\"44961792\"]\n  22 -> 48 [size =\"44961792\"]\n  23 [size=\"68067840\", alpha=\"0.03\", expect_size=\"27227136\"] \n  23 -> 28 [size =\"27227136\"]\n  23 -> 29 [size =\"27227136\"]\n  23 -> 30 [size =\"27227136\"]\n  23 -> 32 [size =\"27227136\"]\n  23 -> 35 [size =\"27227136\"]\n  23 -> 37 [size =\"27227136\"]\n  23 -> 38 [size =\"27227136\"]\n  23 -> 39 [size =\"27227136\"]\n  23 -> 40 [size =\"27227136\"]\n  23 -> 41 [size =\"27227136\"]\n  23 -> 46 [size =\"27227136\"]\n  23 -> 47 [size =\"27227136\"]\n  24 [size=\"60462080\", alpha=\"0.08\", expect_size=\"24184832\"] \n  24 -> 32 [size =\"24184832\"]\n  24 -> 34 [size =\"24184832\"]\n  24 -> 35 [size =\"24184832\"]\n  24 -> 39 [size =\"24184832\"]\n  24 -> 40 [size =\"24184832\"]\n  24 -> 41 [size =\"24184832\"]\n  24 -> 42 [size =\"24184832\"]\n  24 -> 46 [size =\"24184832\"]\n  24 -> 47 [size =\"24184832\"]\n  24 -> 50 [size =\"24184832\"]\n  25 [size=\"50421760\", alpha=\"0.09\", expect_size=\"20168704\"] \n  25 -> 29 [size =\"20168704\"]\n  25 -> 33 [size =\"20168704\"]\n  25 -> 34 [size =\"20168704\"]\n  25 -> 39 [size =\"20168704\"]\n  25 -> 40 [size =\"20168704\"]\n  25 -> 41 [size =\"20168704\"]\n  25 -> 42 [size =\"20168704\"]\n  25 -> 48 [size =\"20168704\"]\n  26 [size=\"26245120\", alpha=\"0.06\", expect_size=\"10498048\"] \n  26 -> 29 [size =\"10498048\"]\n  26 -> 35 [size =\"10498048\"]\n  26 -> 36 [size =\"10498048\"]\n  26 -> 38 [size =\"10498048\"]\n  26 -> 39 [size =\"10498048\"]\n  26 -> 44 [size =\"10498048\"]\n  27 [size=\"79866880\", alpha=\"0.15\", expect_size=\"31946752\"] \n  28 [size=\"27476480\", alpha=\"0.02\", expect_size=\"10990592\"] \n  29 [size=\"62108160\", alpha=\"0.01\", expect_size=\"24843264\"] \n  30 [size=\"21995520\", alpha=\"0.01\", expect_size=\"8798208\"] \n  31 [size=\"101460480\", alpha=\"0.14\", expect_size=\"40584192\"] \n  32 [size=\"57525760\", alpha=\"0.08\", expect_size=\"23010304\"] \n  33 [size=\"61393920\", alpha=\"0.18\", expect_size=\"24557568\"] \n  34 [size=\"77352960\", alpha=\"0.01\", expect_size=\"30941184\"] \n  35 [size=\"121653760\", alpha=\"0.05\", expect_size=\"48661504\"] \n  36 [size=\"57587200\", alpha=\"0.16\", expect_size=\"23034880\"] \n  37 [size=\"91578880\", alpha=\"0.13\", expect_size=\"36631552\"] \n  38 [size=\"63866880\", alpha=\"0.17\", expect_size=\"25546752\"] \n  39 [size=\"73856000\", alpha=\"0.14\", expect_size=\"29542400\"] \n  40 [size=\"81169920\", alpha=\"0.07\", expect_size=\"32467968\"] \n  41 [size=\"87360000\", alpha=\"0.01\", expect_size=\"34944000\"] \n  42 [size=\"49487360\", alpha=\"0.13\", expect_size=\"19794944\"] \n  43 [size=\"96977920\", alpha=\"0.14\", expect_size=\"38791168\"] \n  44 [size=\"84403200\", alpha=\"0.02\", expect_size=\"33761280\"] \n  45 [size=\"90283520\", alpha=\"0.17\", expect_size=\"36113408\"] \n  46 [size=\"120913920\", alpha=\"0.15\", expect_size=\"48365568\"] \n  47 [size=\"96099840\", alpha=\"0.03\", expect_size=\"38439936\"] \n  48 [size=\"52400640\", alpha=\"0.14\", expect_size=\"20960256\"] \n  49 [size=\"33236480\", alpha=\"0.14\", expect_size=\"13294592\"] \n  50 [size=\"118487040\", alpha=\"0.15\", expect_size=\"47394816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.984.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18659840\", alpha=\"0.17\", expect_size=\"7463936\"] \n  1 -> 18 [size =\"7463936\"]\n  1 -> 19 [size =\"7463936\"]\n  1 -> 20 [size =\"7463936\"]\n  1 -> 21 [size =\"7463936\"]\n  1 -> 22 [size =\"7463936\"]\n  1 -> 24 [size =\"7463936\"]\n  1 -> 26 [size =\"7463936\"]\n  1 -> 28 [size =\"7463936\"]\n  1 -> 29 [size =\"7463936\"]\n  1 -> 32 [size =\"7463936\"]\n  1 -> 33 [size =\"7463936\"]\n  1 -> 35 [size =\"7463936\"]\n  1 -> 37 [size =\"7463936\"]\n  1 -> 42 [size =\"7463936\"]\n  1 -> 46 [size =\"7463936\"]\n  1 -> 48 [size =\"7463936\"]\n  1 -> 49 [size =\"7463936\"]\n  1 -> 50 [size =\"7463936\"]\n  2 [size=\"59665920\", alpha=\"0.05\", expect_size=\"23866368\"] \n  2 -> 18 [size =\"23866368\"]\n  2 -> 19 [size =\"23866368\"]\n  2 -> 20 [size =\"23866368\"]\n  2 -> 23 [size =\"23866368\"]\n  2 -> 26 [size =\"23866368\"]\n  2 -> 27 [size =\"23866368\"]\n  2 -> 29 [size =\"23866368\"]\n  2 -> 33 [size =\"23866368\"]\n  2 -> 34 [size =\"23866368\"]\n  2 -> 37 [size =\"23866368\"]\n  2 -> 45 [size =\"23866368\"]\n  2 -> 46 [size =\"23866368\"]\n  3 [size=\"108702720\", alpha=\"0.08\", expect_size=\"43481088\"] \n  3 -> 18 [size =\"43481088\"]\n  3 -> 19 [size =\"43481088\"]\n  3 -> 20 [size =\"43481088\"]\n  3 -> 21 [size =\"43481088\"]\n  3 -> 29 [size =\"43481088\"]\n  3 -> 30 [size =\"43481088\"]\n  3 -> 31 [size =\"43481088\"]\n  3 -> 32 [size =\"43481088\"]\n  3 -> 33 [size =\"43481088\"]\n  3 -> 34 [size =\"43481088\"]\n  3 -> 37 [size =\"43481088\"]\n  3 -> 39 [size =\"43481088\"]\n  3 -> 40 [size =\"43481088\"]\n  3 -> 45 [size =\"43481088\"]\n  3 -> 46 [size =\"43481088\"]\n  3 -> 50 [size =\"43481088\"]\n  4 [size=\"67827200\", alpha=\"0.20\", expect_size=\"27130880\"] \n  4 -> 18 [size =\"27130880\"]\n  4 -> 19 [size =\"27130880\"]\n  4 -> 20 [size =\"27130880\"]\n  4 -> 23 [size =\"27130880\"]\n  4 -> 26 [size =\"27130880\"]\n  4 -> 29 [size =\"27130880\"]\n  4 -> 33 [size =\"27130880\"]\n  4 -> 38 [size =\"27130880\"]\n  4 -> 43 [size =\"27130880\"]\n  4 -> 45 [size =\"27130880\"]\n  4 -> 49 [size =\"27130880\"]\n  5 [size=\"110671360\", alpha=\"0.03\", expect_size=\"44268544\"] \n  5 -> 18 [size =\"44268544\"]\n  5 -> 19 [size =\"44268544\"]\n  5 -> 23 [size =\"44268544\"]\n  5 -> 26 [size =\"44268544\"]\n  5 -> 28 [size =\"44268544\"]\n  5 -> 29 [size =\"44268544\"]\n  5 -> 30 [size =\"44268544\"]\n  5 -> 34 [size =\"44268544\"]\n  5 -> 38 [size =\"44268544\"]\n  5 -> 40 [size =\"44268544\"]\n  5 -> 45 [size =\"44268544\"]\n  5 -> 46 [size =\"44268544\"]\n  5 -> 49 [size =\"44268544\"]\n  5 -> 50 [size =\"44268544\"]\n  6 [size=\"105300480\", alpha=\"0.06\", expect_size=\"42120192\"] \n  6 -> 18 [size =\"42120192\"]\n  6 -> 19 [size =\"42120192\"]\n  6 -> 23 [size =\"42120192\"]\n  6 -> 24 [size =\"42120192\"]\n  6 -> 26 [size =\"42120192\"]\n  6 -> 28 [size =\"42120192\"]\n  6 -> 29 [size =\"42120192\"]\n  6 -> 30 [size =\"42120192\"]\n  6 -> 34 [size =\"42120192\"]\n  6 -> 37 [size =\"42120192\"]\n  6 -> 38 [size =\"42120192\"]\n  6 -> 39 [size =\"42120192\"]\n  6 -> 42 [size =\"42120192\"]\n  6 -> 45 [size =\"42120192\"]\n  6 -> 46 [size =\"42120192\"]\n  6 -> 49 [size =\"42120192\"]\n  6 -> 50 [size =\"42120192\"]\n  7 [size=\"47767040\", alpha=\"0.09\", expect_size=\"19106816\"] \n  7 -> 18 [size =\"19106816\"]\n  7 -> 20 [size =\"19106816\"]\n  7 -> 21 [size =\"19106816\"]\n  7 -> 22 [size =\"19106816\"]\n  7 -> 23 [size =\"19106816\"]\n  7 -> 24 [size =\"19106816\"]\n  7 -> 28 [size =\"19106816\"]\n  7 -> 29 [size =\"19106816\"]\n  7 -> 30 [size =\"19106816\"]\n  7 -> 31 [size =\"19106816\"]\n  7 -> 32 [size =\"19106816\"]\n  7 -> 38 [size =\"19106816\"]\n  7 -> 45 [size =\"19106816\"]\n  7 -> 46 [size =\"19106816\"]\n  7 -> 46 [size =\"19106816\"]\n  7 -> 47 [size =\"19106816\"]\n  7 -> 48 [size =\"19106816\"]\n  7 -> 49 [size =\"19106816\"]\n  7 -> 50 [size =\"19106816\"]\n  8 [size=\"23577600\", alpha=\"0.15\", expect_size=\"9431040\"] \n  8 -> 21 [size =\"9431040\"]\n  8 -> 22 [size =\"9431040\"]\n  8 -> 23 [size =\"9431040\"]\n  8 -> 26 [size =\"9431040\"]\n  8 -> 28 [size =\"9431040\"]\n  8 -> 29 [size =\"9431040\"]\n  8 -> 30 [size =\"9431040\"]\n  8 -> 34 [size =\"9431040\"]\n  8 -> 38 [size =\"9431040\"]\n  8 -> 40 [size =\"9431040\"]\n  8 -> 42 [size =\"9431040\"]\n  8 -> 49 [size =\"9431040\"]\n  9 [size=\"22712320\", alpha=\"0.15\", expect_size=\"9084928\"] \n  9 -> 20 [size =\"9084928\"]\n  9 -> 22 [size =\"9084928\"]\n  9 -> 29 [size =\"9084928\"]\n  9 -> 30 [size =\"9084928\"]\n  9 -> 31 [size =\"9084928\"]\n  9 -> 34 [size =\"9084928\"]\n  9 -> 35 [size =\"9084928\"]\n  9 -> 36 [size =\"9084928\"]\n  9 -> 37 [size =\"9084928\"]\n  9 -> 38 [size =\"9084928\"]\n  9 -> 40 [size =\"9084928\"]\n  9 -> 43 [size =\"9084928\"]\n  9 -> 46 [size =\"9084928\"]\n  9 -> 49 [size =\"9084928\"]\n  9 -> 50 [size =\"9084928\"]\n  10 [size=\"30243840\", alpha=\"0.15\", expect_size=\"12097536\"] \n  10 -> 18 [size =\"12097536\"]\n  10 -> 21 [size =\"12097536\"]\n  10 -> 22 [size =\"12097536\"]\n  10 -> 23 [size =\"12097536\"]\n  10 -> 24 [size =\"12097536\"]\n  10 -> 28 [size =\"12097536\"]\n  10 -> 29 [size =\"12097536\"]\n  10 -> 33 [size =\"12097536\"]\n  10 -> 40 [size =\"12097536\"]\n  10 -> 42 [size =\"12097536\"]\n  10 -> 45 [size =\"12097536\"]\n  10 -> 46 [size =\"12097536\"]\n  10 -> 49 [size =\"12097536\"]\n  11 [size=\"24268800\", alpha=\"0.06\", expect_size=\"9707520\"] \n  11 -> 18 [size =\"9707520\"]\n  11 -> 19 [size =\"9707520\"]\n  11 -> 21 [size =\"9707520\"]\n  11 -> 22 [size =\"9707520\"]\n  11 -> 23 [size =\"9707520\"]\n  11 -> 24 [size =\"9707520\"]\n  11 -> 26 [size =\"9707520\"]\n  11 -> 27 [size =\"9707520\"]\n  11 -> 28 [size =\"9707520\"]\n  11 -> 29 [size =\"9707520\"]\n  11 -> 31 [size =\"9707520\"]\n  11 -> 33 [size =\"9707520\"]\n  11 -> 34 [size =\"9707520\"]\n  11 -> 36 [size =\"9707520\"]\n  11 -> 37 [size =\"9707520\"]\n  11 -> 40 [size =\"9707520\"]\n  11 -> 41 [size =\"9707520\"]\n  11 -> 46 [size =\"9707520\"]\n  11 -> 49 [size =\"9707520\"]\n  11 -> 50 [size =\"9707520\"]\n  12 [size=\"122112000\", alpha=\"0.08\", expect_size=\"48844800\"] \n  12 -> 18 [size =\"48844800\"]\n  12 -> 19 [size =\"48844800\"]\n  12 -> 20 [size =\"48844800\"]\n  12 -> 21 [size =\"48844800\"]\n  12 -> 24 [size =\"48844800\"]\n  12 -> 26 [size =\"48844800\"]\n  12 -> 28 [size =\"48844800\"]\n  12 -> 29 [size =\"48844800\"]\n  12 -> 30 [size =\"48844800\"]\n  12 -> 34 [size =\"48844800\"]\n  12 -> 36 [size =\"48844800\"]\n  12 -> 37 [size =\"48844800\"]\n  12 -> 45 [size =\"48844800\"]\n  12 -> 48 [size =\"48844800\"]\n  12 -> 49 [size =\"48844800\"]\n  12 -> 50 [size =\"48844800\"]\n  13 [size=\"34841600\", alpha=\"0.07\", expect_size=\"13936640\"] \n  13 -> 18 [size =\"13936640\"]\n  13 -> 19 [size =\"13936640\"]\n  13 -> 20 [size =\"13936640\"]\n  13 -> 22 [size =\"13936640\"]\n  13 -> 23 [size =\"13936640\"]\n  13 -> 24 [size =\"13936640\"]\n  13 -> 26 [size =\"13936640\"]\n  13 -> 28 [size =\"13936640\"]\n  13 -> 29 [size =\"13936640\"]\n  13 -> 30 [size =\"13936640\"]\n  13 -> 33 [size =\"13936640\"]\n  13 -> 34 [size =\"13936640\"]\n  13 -> 35 [size =\"13936640\"]\n  13 -> 36 [size =\"13936640\"]\n  13 -> 38 [size =\"13936640\"]\n  13 -> 42 [size =\"13936640\"]\n  13 -> 45 [size =\"13936640\"]\n  13 -> 49 [size =\"13936640\"]\n  13 -> 50 [size =\"13936640\"]\n  14 [size=\"84093440\", alpha=\"0.13\", expect_size=\"33637376\"] \n  14 -> 18 [size =\"33637376\"]\n  14 -> 19 [size =\"33637376\"]\n  14 -> 20 [size =\"33637376\"]\n  14 -> 21 [size =\"33637376\"]\n  14 -> 23 [size =\"33637376\"]\n  14 -> 25 [size =\"33637376\"]\n  14 -> 26 [size =\"33637376\"]\n  14 -> 29 [size =\"33637376\"]\n  14 -> 31 [size =\"33637376\"]\n  14 -> 34 [size =\"33637376\"]\n  14 -> 35 [size =\"33637376\"]\n  14 -> 36 [size =\"33637376\"]\n  14 -> 38 [size =\"33637376\"]\n  14 -> 40 [size =\"33637376\"]\n  14 -> 41 [size =\"33637376\"]\n  14 -> 42 [size =\"33637376\"]\n  14 -> 46 [size =\"33637376\"]\n  14 -> 48 [size =\"33637376\"]\n  14 -> 49 [size =\"33637376\"]\n  14 -> 50 [size =\"33637376\"]\n  15 [size=\"83072000\", alpha=\"0.09\", expect_size=\"33228800\"] \n  15 -> 18 [size =\"33228800\"]\n  15 -> 19 [size =\"33228800\"]\n  15 -> 20 [size =\"33228800\"]\n  15 -> 21 [size =\"33228800\"]\n  15 -> 22 [size =\"33228800\"]\n  15 -> 26 [size =\"33228800\"]\n  15 -> 26 [size =\"33228800\"]\n  15 -> 31 [size =\"33228800\"]\n  15 -> 33 [size =\"33228800\"]\n  15 -> 34 [size =\"33228800\"]\n  15 -> 35 [size =\"33228800\"]\n  15 -> 36 [size =\"33228800\"]\n  15 -> 37 [size =\"33228800\"]\n  15 -> 38 [size =\"33228800\"]\n  15 -> 40 [size =\"33228800\"]\n  15 -> 42 [size =\"33228800\"]\n  15 -> 44 [size =\"33228800\"]\n  15 -> 46 [size =\"33228800\"]\n  16 [size=\"98411520\", alpha=\"0.00\", expect_size=\"39364608\"] \n  16 -> 19 [size =\"39364608\"]\n  16 -> 19 [size =\"39364608\"]\n  16 -> 20 [size =\"39364608\"]\n  16 -> 21 [size =\"39364608\"]\n  16 -> 22 [size =\"39364608\"]\n  16 -> 23 [size =\"39364608\"]\n  16 -> 26 [size =\"39364608\"]\n  16 -> 28 [size =\"39364608\"]\n  16 -> 29 [size =\"39364608\"]\n  16 -> 31 [size =\"39364608\"]\n  16 -> 33 [size =\"39364608\"]\n  16 -> 34 [size =\"39364608\"]\n  16 -> 37 [size =\"39364608\"]\n  16 -> 40 [size =\"39364608\"]\n  16 -> 42 [size =\"39364608\"]\n  16 -> 42 [size =\"39364608\"]\n  16 -> 46 [size =\"39364608\"]\n  16 -> 46 [size =\"39364608\"]\n  16 -> 48 [size =\"39364608\"]\n  17 [size=\"17420800\", alpha=\"0.14\", expect_size=\"6968320\"] \n  17 -> 18 [size =\"6968320\"]\n  17 -> 19 [size =\"6968320\"]\n  17 -> 20 [size =\"6968320\"]\n  17 -> 21 [size =\"6968320\"]\n  17 -> 22 [size =\"6968320\"]\n  17 -> 26 [size =\"6968320\"]\n  17 -> 28 [size =\"6968320\"]\n  17 -> 29 [size =\"6968320\"]\n  17 -> 31 [size =\"6968320\"]\n  17 -> 33 [size =\"6968320\"]\n  17 -> 34 [size =\"6968320\"]\n  17 -> 37 [size =\"6968320\"]\n  17 -> 42 [size =\"6968320\"]\n  17 -> 44 [size =\"6968320\"]\n  17 -> 45 [size =\"6968320\"]\n  17 -> 46 [size =\"6968320\"]\n  17 -> 46 [size =\"6968320\"]\n  17 -> 47 [size =\"6968320\"]\n  17 -> 48 [size =\"6968320\"]\n  18 [size=\"72130560\", alpha=\"0.18\", expect_size=\"28852224\"] \n  19 [size=\"44741120\", alpha=\"0.04\", expect_size=\"17896448\"] \n  20 [size=\"14453760\", alpha=\"0.19\", expect_size=\"5781504\"] \n  21 [size=\"105856000\", alpha=\"0.15\", expect_size=\"42342400\"] \n  22 [size=\"20541440\", alpha=\"0.18\", expect_size=\"8216576\"] \n  23 [size=\"66485760\", alpha=\"0.19\", expect_size=\"26594304\"] \n  24 [size=\"110248960\", alpha=\"0.08\", expect_size=\"44099584\"] \n  25 [size=\"69445120\", alpha=\"0.14\", expect_size=\"27778048\"] \n  26 [size=\"123138560\", alpha=\"0.15\", expect_size=\"49255424\"] \n  27 [size=\"123532800\", alpha=\"0.03\", expect_size=\"49413120\"] \n  28 [size=\"90048000\", alpha=\"0.12\", expect_size=\"36019200\"] \n  29 [size=\"80263680\", alpha=\"0.03\", expect_size=\"32105472\"] \n  30 [size=\"101447680\", alpha=\"0.17\", expect_size=\"40579072\"] \n  31 [size=\"93391360\", alpha=\"0.12\", expect_size=\"37356544\"] \n  32 [size=\"61652480\", alpha=\"0.06\", expect_size=\"24660992\"] \n  33 [size=\"52787200\", alpha=\"0.04\", expect_size=\"21114880\"] \n  34 [size=\"44428800\", alpha=\"0.14\", expect_size=\"17771520\"] \n  35 [size=\"91297280\", alpha=\"0.16\", expect_size=\"36518912\"] \n  36 [size=\"55029760\", alpha=\"0.12\", expect_size=\"22011904\"] \n  37 [size=\"27824640\", alpha=\"0.09\", expect_size=\"11129856\"] \n  38 [size=\"44339200\", alpha=\"0.15\", expect_size=\"17735680\"] \n  39 [size=\"115046400\", alpha=\"0.08\", expect_size=\"46018560\"] \n  40 [size=\"13619200\", alpha=\"0.00\", expect_size=\"5447680\"] \n  41 [size=\"111091200\", alpha=\"0.08\", expect_size=\"44436480\"] \n  42 [size=\"64732160\", alpha=\"0.18\", expect_size=\"25892864\"] \n  43 [size=\"101511680\", alpha=\"0.16\", expect_size=\"40604672\"] \n  44 [size=\"125199360\", alpha=\"0.11\", expect_size=\"50079744\"] \n  45 [size=\"88821760\", alpha=\"0.16\", expect_size=\"35528704\"] \n  46 [size=\"62343680\", alpha=\"0.19\", expect_size=\"24937472\"] \n  47 [size=\"13107200\", alpha=\"0.01\", expect_size=\"5242880\"] \n  48 [size=\"63390720\", alpha=\"0.16\", expect_size=\"25356288\"] \n  49 [size=\"36295680\", alpha=\"0.02\", expect_size=\"14518272\"] \n  50 [size=\"81413120\", alpha=\"0.03\", expect_size=\"32565248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.985.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81213440\", alpha=\"0.07\", expect_size=\"40606720\"] \n  1 -> 2 [size =\"40606720\"]\n  2 [size=\"21379072\", alpha=\"0.10\", expect_size=\"10689536\"] \n  2 -> 3 [size =\"10689536\"]\n  3 [size=\"42313728\", alpha=\"0.03\", expect_size=\"21156864\"] \n  3 -> 4 [size =\"21156864\"]\n  4 [size=\"34975744\", alpha=\"0.02\", expect_size=\"17487872\"] \n  4 -> 5 [size =\"17487872\"]\n  5 [size=\"50896896\", alpha=\"0.05\", expect_size=\"25448448\"] \n  5 -> 6 [size =\"25448448\"]\n  6 [size=\"32835584\", alpha=\"0.14\", expect_size=\"16417792\"] \n  6 -> 7 [size =\"16417792\"]\n  7 [size=\"93292544\", alpha=\"0.02\", expect_size=\"46646272\"] \n  7 -> 8 [size =\"46646272\"]\n  8 [size=\"73306112\", alpha=\"0.15\", expect_size=\"36653056\"] \n  8 -> 9 [size =\"36653056\"]\n  9 [size=\"13864960\", alpha=\"0.05\", expect_size=\"6932480\"] \n  9 -> 10 [size =\"6932480\"]\n  10 [size=\"69163008\", alpha=\"0.00\", expect_size=\"34581504\"] \n  10 -> 11 [size =\"34581504\"]\n  11 [size=\"23437312\", alpha=\"0.15\", expect_size=\"11718656\"] \n  11 -> 12 [size =\"11718656\"]\n  12 [size=\"54673408\", alpha=\"0.06\", expect_size=\"27336704\"] \n  12 -> 13 [size =\"27336704\"]\n  13 [size=\"100397056\", alpha=\"0.07\", expect_size=\"50198528\"] \n  13 -> 14 [size =\"50198528\"]\n  14 [size=\"18356224\", alpha=\"0.04\", expect_size=\"9178112\"] \n  14 -> 15 [size =\"9178112\"]\n  15 [size=\"28413952\", alpha=\"0.11\", expect_size=\"14206976\"] \n  15 -> 16 [size =\"14206976\"]\n  16 [size=\"50487296\", alpha=\"0.14\", expect_size=\"25243648\"] \n  16 -> 17 [size =\"25243648\"]\n  17 [size=\"21852160\", alpha=\"0.18\", expect_size=\"10926080\"] \n  17 -> 18 [size =\"10926080\"]\n  18 [size=\"29362176\", alpha=\"0.03\", expect_size=\"14681088\"] \n  18 -> 19 [size =\"14681088\"]\n  19 [size=\"100077568\", alpha=\"0.10\", expect_size=\"50038784\"] \n  19 -> 20 [size =\"50038784\"]\n  20 [size=\"27258880\", alpha=\"0.10\", expect_size=\"13629440\"] \n  20 -> 21 [size =\"13629440\"]\n  21 [size=\"28831744\", alpha=\"0.04\", expect_size=\"14415872\"] \n  21 -> 22 [size =\"14415872\"]\n  22 [size=\"98912256\", alpha=\"0.01\", expect_size=\"49456128\"] \n  22 -> 23 [size =\"49456128\"]\n  23 [size=\"32735232\", alpha=\"0.05\", expect_size=\"16367616\"] \n  23 -> 24 [size =\"16367616\"]\n  24 [size=\"66240512\", alpha=\"0.14\", expect_size=\"33120256\"] \n  24 -> 25 [size =\"33120256\"]\n  25 [size=\"83550208\", alpha=\"0.11\", expect_size=\"41775104\"] \n  25 -> 26 [size =\"41775104\"]\n  26 [size=\"41951232\", alpha=\"0.14\", expect_size=\"20975616\"] \n  26 -> 27 [size =\"20975616\"]\n  27 [size=\"11706368\", alpha=\"0.13\", expect_size=\"5853184\"] \n  27 -> 28 [size =\"5853184\"]\n  28 [size=\"96088064\", alpha=\"0.06\", expect_size=\"48044032\"] \n  28 -> 29 [size =\"48044032\"]\n  29 [size=\"14796800\", alpha=\"0.00\", expect_size=\"7398400\"] \n  29 -> 30 [size =\"7398400\"]\n  30 [size=\"62601216\", alpha=\"0.06\", expect_size=\"31300608\"] \n  30 -> 31 [size =\"31300608\"]\n  31 [size=\"14413824\", alpha=\"0.15\", expect_size=\"7206912\"] \n  31 -> 32 [size =\"7206912\"]\n  32 [size=\"35336192\", alpha=\"0.14\", expect_size=\"17668096\"] \n  32 -> 33 [size =\"17668096\"]\n  33 [size=\"41889792\", alpha=\"0.11\", expect_size=\"20944896\"] \n  33 -> 34 [size =\"20944896\"]\n  34 [size=\"65904640\", alpha=\"0.10\", expect_size=\"32952320\"] \n  34 -> 35 [size =\"32952320\"]\n  35 [size=\"37498880\", alpha=\"0.13\", expect_size=\"18749440\"] \n  35 -> 36 [size =\"18749440\"]\n  36 [size=\"91457536\", alpha=\"0.04\", expect_size=\"45728768\"] \n  36 -> 37 [size =\"45728768\"]\n  37 [size=\"61386752\", alpha=\"0.18\", expect_size=\"30693376\"] \n  37 -> 38 [size =\"30693376\"]\n  38 [size=\"30097408\", alpha=\"0.16\", expect_size=\"15048704\"] \n  38 -> 39 [size =\"15048704\"]\n  39 [size=\"60409856\", alpha=\"0.12\", expect_size=\"30204928\"] \n  39 -> 40 [size =\"30204928\"]\n  40 [size=\"61331456\", alpha=\"0.13\", expect_size=\"30665728\"] \n  40 -> 41 [size =\"30665728\"]\n  41 [size=\"91539456\", alpha=\"0.17\", expect_size=\"45769728\"] \n  41 -> 42 [size =\"45769728\"]\n  42 [size=\"69615616\", alpha=\"0.20\", expect_size=\"34807808\"] \n  42 -> 43 [size =\"34807808\"]\n  43 [size=\"39749632\", alpha=\"0.07\", expect_size=\"19874816\"] \n  43 -> 44 [size =\"19874816\"]\n  44 [size=\"91850752\", alpha=\"0.07\", expect_size=\"45925376\"] \n  44 -> 45 [size =\"45925376\"]\n  45 [size=\"45049856\", alpha=\"0.02\", expect_size=\"22524928\"] \n  45 -> 46 [size =\"22524928\"]\n  46 [size=\"11646976\", alpha=\"0.03\", expect_size=\"5823488\"] \n  46 -> 47 [size =\"5823488\"]\n  47 [size=\"31641600\", alpha=\"0.05\", expect_size=\"15820800\"] \n  47 -> 48 [size =\"15820800\"]\n  48 [size=\"22032384\", alpha=\"0.05\", expect_size=\"11016192\"] \n  48 -> 49 [size =\"11016192\"]\n  49 [size=\"96067584\", alpha=\"0.06\", expect_size=\"48033792\"] \n  49 -> 50 [size =\"48033792\"]\n  50 [size=\"60225536\", alpha=\"0.18\", expect_size=\"30112768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.986.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"16416768\", alpha=\"0.01\", expect_size=\"8208384\"] \n  1 -> 17 [size =\"8208384\"]\n  1 -> 19 [size =\"8208384\"]\n  2 [size=\"98904064\", alpha=\"0.16\", expect_size=\"49452032\"] \n  2 -> 15 [size =\"49452032\"]\n  2 -> 19 [size =\"49452032\"]\n  3 [size=\"100245504\", alpha=\"0.18\", expect_size=\"50122752\"] \n  3 -> 15 [size =\"50122752\"]\n  3 -> 17 [size =\"50122752\"]\n  3 -> 18 [size =\"50122752\"]\n  3 -> 19 [size =\"50122752\"]\n  3 -> 21 [size =\"50122752\"]\n  3 -> 22 [size =\"50122752\"]\n  4 [size=\"28715008\", alpha=\"0.03\", expect_size=\"14357504\"] \n  4 -> 15 [size =\"14357504\"]\n  4 -> 17 [size =\"14357504\"]\n  5 [size=\"43509760\", alpha=\"0.16\", expect_size=\"21754880\"] \n  5 -> 15 [size =\"21754880\"]\n  5 -> 16 [size =\"21754880\"]\n  6 [size=\"53219328\", alpha=\"0.18\", expect_size=\"26609664\"] \n  6 -> 18 [size =\"26609664\"]\n  6 -> 19 [size =\"26609664\"]\n  6 -> 21 [size =\"26609664\"]\n  7 [size=\"35520512\", alpha=\"0.02\", expect_size=\"17760256\"] \n  7 -> 21 [size =\"17760256\"]\n  7 -> 22 [size =\"17760256\"]\n  8 [size=\"74018816\", alpha=\"0.01\", expect_size=\"37009408\"] \n  9 [size=\"19828736\", alpha=\"0.04\", expect_size=\"9914368\"] \n  9 -> 15 [size =\"9914368\"]\n  9 -> 17 [size =\"9914368\"]\n  10 [size=\"63430656\", alpha=\"0.19\", expect_size=\"31715328\"] \n  10 -> 15 [size =\"31715328\"]\n  10 -> 17 [size =\"31715328\"]\n  10 -> 20 [size =\"31715328\"]\n  10 -> 22 [size =\"31715328\"]\n  11 [size=\"42553344\", alpha=\"0.05\", expect_size=\"21276672\"] \n  11 -> 15 [size =\"21276672\"]\n  11 -> 17 [size =\"21276672\"]\n  11 -> 18 [size =\"21276672\"]\n  11 -> 19 [size =\"21276672\"]\n  11 -> 21 [size =\"21276672\"]\n  11 -> 22 [size =\"21276672\"]\n  12 [size=\"47517696\", alpha=\"0.05\", expect_size=\"23758848\"] \n  12 -> 15 [size =\"23758848\"]\n  12 -> 17 [size =\"23758848\"]\n  12 -> 18 [size =\"23758848\"]\n  12 -> 22 [size =\"23758848\"]\n  13 [size=\"30091264\", alpha=\"0.18\", expect_size=\"15045632\"] \n  13 -> 15 [size =\"15045632\"]\n  13 -> 20 [size =\"15045632\"]\n  14 [size=\"19032064\", alpha=\"0.03\", expect_size=\"9516032\"] \n  14 -> 16 [size =\"9516032\"]\n  14 -> 19 [size =\"9516032\"]\n  14 -> 22 [size =\"9516032\"]\n  15 [size=\"31606784\", alpha=\"0.00\", expect_size=\"15803392\"] \n  15 -> 24 [size =\"15803392\"]\n  15 -> 29 [size =\"15803392\"]\n  15 -> 33 [size =\"15803392\"]\n  15 -> 38 [size =\"15803392\"]\n  16 [size=\"14055424\", alpha=\"0.02\", expect_size=\"7027712\"] \n  16 -> 24 [size =\"7027712\"]\n  16 -> 27 [size =\"7027712\"]\n  16 -> 29 [size =\"7027712\"]\n  16 -> 31 [size =\"7027712\"]\n  16 -> 32 [size =\"7027712\"]\n  16 -> 33 [size =\"7027712\"]\n  16 -> 35 [size =\"7027712\"]\n  16 -> 37 [size =\"7027712\"]\n  16 -> 38 [size =\"7027712\"]\n  16 -> 39 [size =\"7027712\"]\n  17 [size=\"101054464\", alpha=\"0.13\", expect_size=\"50527232\"] \n  17 -> 24 [size =\"50527232\"]\n  17 -> 25 [size =\"50527232\"]\n  17 -> 26 [size =\"50527232\"]\n  17 -> 27 [size =\"50527232\"]\n  17 -> 39 [size =\"50527232\"]\n  18 [size=\"17106944\", alpha=\"0.01\", expect_size=\"8553472\"] \n  18 -> 25 [size =\"8553472\"]\n  18 -> 25 [size =\"8553472\"]\n  18 -> 26 [size =\"8553472\"]\n  18 -> 27 [size =\"8553472\"]\n  18 -> 28 [size =\"8553472\"]\n  18 -> 29 [size =\"8553472\"]\n  18 -> 33 [size =\"8553472\"]\n  18 -> 39 [size =\"8553472\"]\n  19 [size=\"20367360\", alpha=\"0.19\", expect_size=\"10183680\"] \n  19 -> 24 [size =\"10183680\"]\n  19 -> 27 [size =\"10183680\"]\n  19 -> 37 [size =\"10183680\"]\n  19 -> 40 [size =\"10183680\"]\n  20 [size=\"39710720\", alpha=\"0.19\", expect_size=\"19855360\"] \n  20 -> 28 [size =\"19855360\"]\n  20 -> 31 [size =\"19855360\"]\n  20 -> 35 [size =\"19855360\"]\n  20 -> 36 [size =\"19855360\"]\n  20 -> 38 [size =\"19855360\"]\n  20 -> 39 [size =\"19855360\"]\n  21 [size=\"36032512\", alpha=\"0.00\", expect_size=\"18016256\"] \n  21 -> 23 [size =\"18016256\"]\n  21 -> 30 [size =\"18016256\"]\n  21 -> 31 [size =\"18016256\"]\n  21 -> 33 [size =\"18016256\"]\n  21 -> 34 [size =\"18016256\"]\n  21 -> 35 [size =\"18016256\"]\n  21 -> 38 [size =\"18016256\"]\n  21 -> 40 [size =\"18016256\"]\n  22 [size=\"58411008\", alpha=\"0.20\", expect_size=\"29205504\"] \n  22 -> 23 [size =\"29205504\"]\n  22 -> 29 [size =\"29205504\"]\n  22 -> 31 [size =\"29205504\"]\n  22 -> 37 [size =\"29205504\"]\n  22 -> 38 [size =\"29205504\"]\n  23 [size=\"83638272\", alpha=\"0.19\", expect_size=\"41819136\"] \n  23 -> 41 [size =\"41819136\"]\n  23 -> 43 [size =\"41819136\"]\n  23 -> 45 [size =\"41819136\"]\n  23 -> 46 [size =\"41819136\"]\n  23 -> 48 [size =\"41819136\"]\n  23 -> 49 [size =\"41819136\"]\n  24 [size=\"71960576\", alpha=\"0.01\", expect_size=\"35980288\"] \n  24 -> 41 [size =\"35980288\"]\n  24 -> 44 [size =\"35980288\"]\n  24 -> 45 [size =\"35980288\"]\n  24 -> 50 [size =\"35980288\"]\n  25 [size=\"87701504\", alpha=\"0.11\", expect_size=\"43850752\"] \n  25 -> 41 [size =\"43850752\"]\n  25 -> 44 [size =\"43850752\"]\n  25 -> 48 [size =\"43850752\"]\n  25 -> 50 [size =\"43850752\"]\n  26 [size=\"87875584\", alpha=\"0.10\", expect_size=\"43937792\"] \n  26 -> 42 [size =\"43937792\"]\n  26 -> 43 [size =\"43937792\"]\n  26 -> 44 [size =\"43937792\"]\n  26 -> 48 [size =\"43937792\"]\n  26 -> 49 [size =\"43937792\"]\n  26 -> 50 [size =\"43937792\"]\n  27 [size=\"95496192\", alpha=\"0.14\", expect_size=\"47748096\"] \n  27 -> 43 [size =\"47748096\"]\n  27 -> 44 [size =\"47748096\"]\n  27 -> 46 [size =\"47748096\"]\n  27 -> 48 [size =\"47748096\"]\n  27 -> 49 [size =\"47748096\"]\n  27 -> 50 [size =\"47748096\"]\n  28 [size=\"62341120\", alpha=\"0.12\", expect_size=\"31170560\"] \n  28 -> 43 [size =\"31170560\"]\n  28 -> 48 [size =\"31170560\"]\n  28 -> 49 [size =\"31170560\"]\n  29 [size=\"68245504\", alpha=\"0.11\", expect_size=\"34122752\"] \n  29 -> 41 [size =\"34122752\"]\n  29 -> 43 [size =\"34122752\"]\n  29 -> 46 [size =\"34122752\"]\n  29 -> 48 [size =\"34122752\"]\n  29 -> 49 [size =\"34122752\"]\n  30 [size=\"63991808\", alpha=\"0.02\", expect_size=\"31995904\"] \n  30 -> 41 [size =\"31995904\"]\n  30 -> 42 [size =\"31995904\"]\n  30 -> 43 [size =\"31995904\"]\n  30 -> 45 [size =\"31995904\"]\n  30 -> 46 [size =\"31995904\"]\n  30 -> 50 [size =\"31995904\"]\n  31 [size=\"58974208\", alpha=\"0.19\", expect_size=\"29487104\"] \n  31 -> 41 [size =\"29487104\"]\n  31 -> 49 [size =\"29487104\"]\n  32 [size=\"59123712\", alpha=\"0.05\", expect_size=\"29561856\"] \n  32 -> 41 [size =\"29561856\"]\n  33 [size=\"58488832\", alpha=\"0.14\", expect_size=\"29244416\"] \n  33 -> 43 [size =\"29244416\"]\n  33 -> 44 [size =\"29244416\"]\n  33 -> 47 [size =\"29244416\"]\n  33 -> 48 [size =\"29244416\"]\n  34 [size=\"52457472\", alpha=\"0.06\", expect_size=\"26228736\"] \n  34 -> 41 [size =\"26228736\"]\n  34 -> 43 [size =\"26228736\"]\n  34 -> 44 [size =\"26228736\"]\n  34 -> 46 [size =\"26228736\"]\n  34 -> 50 [size =\"26228736\"]\n  35 [size=\"59258880\", alpha=\"0.02\", expect_size=\"29629440\"] \n  35 -> 43 [size =\"29629440\"]\n  35 -> 43 [size =\"29629440\"]\n  35 -> 44 [size =\"29629440\"]\n  35 -> 45 [size =\"29629440\"]\n  35 -> 46 [size =\"29629440\"]\n  36 [size=\"17549312\", alpha=\"0.18\", expect_size=\"8774656\"] \n  36 -> 43 [size =\"8774656\"]\n  36 -> 44 [size =\"8774656\"]\n  36 -> 44 [size =\"8774656\"]\n  36 -> 45 [size =\"8774656\"]\n  36 -> 46 [size =\"8774656\"]\n  36 -> 48 [size =\"8774656\"]\n  37 [size=\"64434176\", alpha=\"0.14\", expect_size=\"32217088\"] \n  37 -> 41 [size =\"32217088\"]\n  37 -> 43 [size =\"32217088\"]\n  37 -> 45 [size =\"32217088\"]\n  37 -> 46 [size =\"32217088\"]\n  37 -> 46 [size =\"32217088\"]\n  37 -> 48 [size =\"32217088\"]\n  37 -> 50 [size =\"32217088\"]\n  38 [size=\"36206592\", alpha=\"0.11\", expect_size=\"18103296\"] \n  38 -> 46 [size =\"18103296\"]\n  38 -> 48 [size =\"18103296\"]\n  38 -> 50 [size =\"18103296\"]\n  39 [size=\"90771456\", alpha=\"0.10\", expect_size=\"45385728\"] \n  39 -> 44 [size =\"45385728\"]\n  39 -> 48 [size =\"45385728\"]\n  39 -> 50 [size =\"45385728\"]\n  40 [size=\"48730112\", alpha=\"0.16\", expect_size=\"24365056\"] \n  40 -> 43 [size =\"24365056\"]\n  40 -> 44 [size =\"24365056\"]\n  40 -> 48 [size =\"24365056\"]\n  40 -> 49 [size =\"24365056\"]\n  41 [size=\"57399296\", alpha=\"0.07\", expect_size=\"28699648\"] \n  42 [size=\"54476800\", alpha=\"0.08\", expect_size=\"27238400\"] \n  43 [size=\"76996608\", alpha=\"0.04\", expect_size=\"38498304\"] \n  44 [size=\"50190336\", alpha=\"0.14\", expect_size=\"25095168\"] \n  45 [size=\"76980224\", alpha=\"0.20\", expect_size=\"38490112\"] \n  46 [size=\"84117504\", alpha=\"0.02\", expect_size=\"42058752\"] \n  47 [size=\"75171840\", alpha=\"0.03\", expect_size=\"37585920\"] \n  48 [size=\"46342144\", alpha=\"0.14\", expect_size=\"23171072\"] \n  49 [size=\"98621440\", alpha=\"0.18\", expect_size=\"49310720\"] \n  50 [size=\"53147648\", alpha=\"0.12\", expect_size=\"26573824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.987.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"55362560\", alpha=\"0.19\", expect_size=\"22145024\"] \n  1 -> 31 [size =\"22145024\"]\n  1 -> 35 [size =\"22145024\"]\n  1 -> 40 [size =\"22145024\"]\n  1 -> 42 [size =\"22145024\"]\n  1 -> 42 [size =\"22145024\"]\n  1 -> 45 [size =\"22145024\"]\n  1 -> 50 [size =\"22145024\"]\n  2 [size=\"38359040\", alpha=\"0.10\", expect_size=\"15343616\"] \n  2 -> 31 [size =\"15343616\"]\n  2 -> 33 [size =\"15343616\"]\n  2 -> 34 [size =\"15343616\"]\n  2 -> 35 [size =\"15343616\"]\n  2 -> 38 [size =\"15343616\"]\n  2 -> 39 [size =\"15343616\"]\n  2 -> 42 [size =\"15343616\"]\n  2 -> 46 [size =\"15343616\"]\n  2 -> 49 [size =\"15343616\"]\n  3 [size=\"88230400\", alpha=\"0.09\", expect_size=\"35292160\"] \n  3 -> 34 [size =\"35292160\"]\n  3 -> 36 [size =\"35292160\"]\n  3 -> 42 [size =\"35292160\"]\n  3 -> 46 [size =\"35292160\"]\n  3 -> 49 [size =\"35292160\"]\n  3 -> 50 [size =\"35292160\"]\n  4 [size=\"63557120\", alpha=\"0.06\", expect_size=\"25422848\"] \n  4 -> 35 [size =\"25422848\"]\n  4 -> 36 [size =\"25422848\"]\n  4 -> 41 [size =\"25422848\"]\n  4 -> 42 [size =\"25422848\"]\n  4 -> 44 [size =\"25422848\"]\n  4 -> 49 [size =\"25422848\"]\n  5 [size=\"103677440\", alpha=\"0.04\", expect_size=\"41470976\"] \n  5 -> 32 [size =\"41470976\"]\n  5 -> 35 [size =\"41470976\"]\n  5 -> 36 [size =\"41470976\"]\n  5 -> 39 [size =\"41470976\"]\n  5 -> 42 [size =\"41470976\"]\n  5 -> 43 [size =\"41470976\"]\n  5 -> 49 [size =\"41470976\"]\n  5 -> 50 [size =\"41470976\"]\n  6 [size=\"114158080\", alpha=\"0.15\", expect_size=\"45663232\"] \n  6 -> 35 [size =\"45663232\"]\n  6 -> 36 [size =\"45663232\"]\n  6 -> 36 [size =\"45663232\"]\n  6 -> 39 [size =\"45663232\"]\n  6 -> 42 [size =\"45663232\"]\n  6 -> 43 [size =\"45663232\"]\n  6 -> 50 [size =\"45663232\"]\n  7 [size=\"38528000\", alpha=\"0.13\", expect_size=\"15411200\"] \n  7 -> 34 [size =\"15411200\"]\n  7 -> 35 [size =\"15411200\"]\n  7 -> 36 [size =\"15411200\"]\n  7 -> 37 [size =\"15411200\"]\n  7 -> 41 [size =\"15411200\"]\n  7 -> 42 [size =\"15411200\"]\n  7 -> 43 [size =\"15411200\"]\n  7 -> 44 [size =\"15411200\"]\n  7 -> 47 [size =\"15411200\"]\n  7 -> 50 [size =\"15411200\"]\n  8 [size=\"48570880\", alpha=\"0.12\", expect_size=\"19428352\"] \n  8 -> 32 [size =\"19428352\"]\n  8 -> 34 [size =\"19428352\"]\n  8 -> 35 [size =\"19428352\"]\n  8 -> 36 [size =\"19428352\"]\n  8 -> 38 [size =\"19428352\"]\n  8 -> 41 [size =\"19428352\"]\n  8 -> 42 [size =\"19428352\"]\n  8 -> 44 [size =\"19428352\"]\n  8 -> 47 [size =\"19428352\"]\n  8 -> 50 [size =\"19428352\"]\n  9 [size=\"51123200\", alpha=\"0.05\", expect_size=\"20449280\"] \n  9 -> 32 [size =\"20449280\"]\n  9 -> 35 [size =\"20449280\"]\n  9 -> 35 [size =\"20449280\"]\n  9 -> 42 [size =\"20449280\"]\n  9 -> 50 [size =\"20449280\"]\n  10 [size=\"72916480\", alpha=\"0.09\", expect_size=\"29166592\"] \n  10 -> 31 [size =\"29166592\"]\n  10 -> 32 [size =\"29166592\"]\n  10 -> 34 [size =\"29166592\"]\n  10 -> 35 [size =\"29166592\"]\n  10 -> 39 [size =\"29166592\"]\n  10 -> 42 [size =\"29166592\"]\n  10 -> 43 [size =\"29166592\"]\n  10 -> 44 [size =\"29166592\"]\n  10 -> 46 [size =\"29166592\"]\n  10 -> 49 [size =\"29166592\"]\n  10 -> 50 [size =\"29166592\"]\n  11 [size=\"63884800\", alpha=\"0.17\", expect_size=\"25553920\"] \n  11 -> 34 [size =\"25553920\"]\n  11 -> 35 [size =\"25553920\"]\n  11 -> 36 [size =\"25553920\"]\n  11 -> 41 [size =\"25553920\"]\n  11 -> 42 [size =\"25553920\"]\n  11 -> 42 [size =\"25553920\"]\n  11 -> 49 [size =\"25553920\"]\n  12 [size=\"55424000\", alpha=\"0.13\", expect_size=\"22169600\"] \n  12 -> 35 [size =\"22169600\"]\n  12 -> 35 [size =\"22169600\"]\n  12 -> 36 [size =\"22169600\"]\n  12 -> 39 [size =\"22169600\"]\n  12 -> 41 [size =\"22169600\"]\n  12 -> 42 [size =\"22169600\"]\n  12 -> 44 [size =\"22169600\"]\n  12 -> 47 [size =\"22169600\"]\n  12 -> 48 [size =\"22169600\"]\n  12 -> 49 [size =\"22169600\"]\n  12 -> 50 [size =\"22169600\"]\n  13 [size=\"117219840\", alpha=\"0.12\", expect_size=\"46887936\"] \n  13 -> 31 [size =\"46887936\"]\n  13 -> 35 [size =\"46887936\"]\n  13 -> 36 [size =\"46887936\"]\n  13 -> 37 [size =\"46887936\"]\n  13 -> 39 [size =\"46887936\"]\n  13 -> 40 [size =\"46887936\"]\n  13 -> 42 [size =\"46887936\"]\n  13 -> 48 [size =\"46887936\"]\n  13 -> 49 [size =\"46887936\"]\n  13 -> 49 [size =\"46887936\"]\n  14 [size=\"54272000\", alpha=\"0.06\", expect_size=\"21708800\"] \n  14 -> 32 [size =\"21708800\"]\n  14 -> 35 [size =\"21708800\"]\n  14 -> 37 [size =\"21708800\"]\n  14 -> 42 [size =\"21708800\"]\n  14 -> 44 [size =\"21708800\"]\n  15 [size=\"88755200\", alpha=\"0.17\", expect_size=\"35502080\"] \n  15 -> 34 [size =\"35502080\"]\n  15 -> 35 [size =\"35502080\"]\n  15 -> 36 [size =\"35502080\"]\n  15 -> 37 [size =\"35502080\"]\n  15 -> 39 [size =\"35502080\"]\n  15 -> 40 [size =\"35502080\"]\n  15 -> 42 [size =\"35502080\"]\n  15 -> 46 [size =\"35502080\"]\n  15 -> 50 [size =\"35502080\"]\n  16 [size=\"113285120\", alpha=\"0.01\", expect_size=\"45314048\"] \n  16 -> 31 [size =\"45314048\"]\n  16 -> 32 [size =\"45314048\"]\n  16 -> 34 [size =\"45314048\"]\n  16 -> 35 [size =\"45314048\"]\n  16 -> 36 [size =\"45314048\"]\n  16 -> 37 [size =\"45314048\"]\n  16 -> 42 [size =\"45314048\"]\n  16 -> 46 [size =\"45314048\"]\n  16 -> 49 [size =\"45314048\"]\n  16 -> 50 [size =\"45314048\"]\n  17 [size=\"86187520\", alpha=\"0.11\", expect_size=\"34475008\"] \n  17 -> 34 [size =\"34475008\"]\n  17 -> 35 [size =\"34475008\"]\n  17 -> 36 [size =\"34475008\"]\n  17 -> 40 [size =\"34475008\"]\n  17 -> 42 [size =\"34475008\"]\n  17 -> 43 [size =\"34475008\"]\n  17 -> 44 [size =\"34475008\"]\n  17 -> 46 [size =\"34475008\"]\n  17 -> 49 [size =\"34475008\"]\n  17 -> 50 [size =\"34475008\"]\n  18 [size=\"46489600\", alpha=\"0.12\", expect_size=\"18595840\"] \n  18 -> 35 [size =\"18595840\"]\n  18 -> 35 [size =\"18595840\"]\n  18 -> 36 [size =\"18595840\"]\n  18 -> 39 [size =\"18595840\"]\n  18 -> 44 [size =\"18595840\"]\n  18 -> 48 [size =\"18595840\"]\n  18 -> 50 [size =\"18595840\"]\n  19 [size=\"119969280\", alpha=\"0.01\", expect_size=\"47987712\"] \n  19 -> 31 [size =\"47987712\"]\n  19 -> 32 [size =\"47987712\"]\n  19 -> 34 [size =\"47987712\"]\n  19 -> 35 [size =\"47987712\"]\n  19 -> 36 [size =\"47987712\"]\n  19 -> 39 [size =\"47987712\"]\n  19 -> 40 [size =\"47987712\"]\n  19 -> 41 [size =\"47987712\"]\n  19 -> 44 [size =\"47987712\"]\n  19 -> 46 [size =\"47987712\"]\n  19 -> 50 [size =\"47987712\"]\n  20 [size=\"34242560\", alpha=\"0.19\", expect_size=\"13697024\"] \n  20 -> 34 [size =\"13697024\"]\n  20 -> 35 [size =\"13697024\"]\n  20 -> 36 [size =\"13697024\"]\n  20 -> 37 [size =\"13697024\"]\n  20 -> 38 [size =\"13697024\"]\n  20 -> 40 [size =\"13697024\"]\n  20 -> 42 [size =\"13697024\"]\n  20 -> 44 [size =\"13697024\"]\n  20 -> 50 [size =\"13697024\"]\n  21 [size=\"87293440\", alpha=\"0.05\", expect_size=\"34917376\"] \n  21 -> 31 [size =\"34917376\"]\n  21 -> 34 [size =\"34917376\"]\n  21 -> 35 [size =\"34917376\"]\n  21 -> 37 [size =\"34917376\"]\n  21 -> 42 [size =\"34917376\"]\n  21 -> 44 [size =\"34917376\"]\n  21 -> 50 [size =\"34917376\"]\n  22 [size=\"71472640\", alpha=\"0.15\", expect_size=\"28589056\"] \n  22 -> 36 [size =\"28589056\"]\n  22 -> 37 [size =\"28589056\"]\n  22 -> 44 [size =\"28589056\"]\n  22 -> 47 [size =\"28589056\"]\n  22 -> 50 [size =\"28589056\"]\n  23 [size=\"28656640\", alpha=\"0.17\", expect_size=\"11462656\"] \n  23 -> 32 [size =\"11462656\"]\n  23 -> 37 [size =\"11462656\"]\n  23 -> 39 [size =\"11462656\"]\n  23 -> 40 [size =\"11462656\"]\n  23 -> 43 [size =\"11462656\"]\n  23 -> 44 [size =\"11462656\"]\n  23 -> 49 [size =\"11462656\"]\n  23 -> 50 [size =\"11462656\"]\n  24 [size=\"101504000\", alpha=\"0.08\", expect_size=\"40601600\"] \n  24 -> 34 [size =\"40601600\"]\n  24 -> 35 [size =\"40601600\"]\n  24 -> 38 [size =\"40601600\"]\n  24 -> 39 [size =\"40601600\"]\n  24 -> 46 [size =\"40601600\"]\n  24 -> 49 [size =\"40601600\"]\n  24 -> 50 [size =\"40601600\"]\n  25 [size=\"18675200\", alpha=\"0.15\", expect_size=\"7470080\"] \n  25 -> 35 [size =\"7470080\"]\n  25 -> 37 [size =\"7470080\"]\n  25 -> 38 [size =\"7470080\"]\n  25 -> 40 [size =\"7470080\"]\n  25 -> 42 [size =\"7470080\"]\n  25 -> 46 [size =\"7470080\"]\n  25 -> 50 [size =\"7470080\"]\n  26 [size=\"118254080\", alpha=\"0.18\", expect_size=\"47301632\"] \n  26 -> 33 [size =\"47301632\"]\n  26 -> 36 [size =\"47301632\"]\n  26 -> 37 [size =\"47301632\"]\n  26 -> 38 [size =\"47301632\"]\n  26 -> 40 [size =\"47301632\"]\n  26 -> 42 [size =\"47301632\"]\n  26 -> 44 [size =\"47301632\"]\n  26 -> 46 [size =\"47301632\"]\n  27 [size=\"122641920\", alpha=\"0.06\", expect_size=\"49056768\"] \n  27 -> 36 [size =\"49056768\"]\n  27 -> 42 [size =\"49056768\"]\n  27 -> 43 [size =\"49056768\"]\n  27 -> 44 [size =\"49056768\"]\n  27 -> 46 [size =\"49056768\"]\n  27 -> 48 [size =\"49056768\"]\n  27 -> 50 [size =\"49056768\"]\n  28 [size=\"70574080\", alpha=\"0.00\", expect_size=\"28229632\"] \n  28 -> 32 [size =\"28229632\"]\n  28 -> 36 [size =\"28229632\"]\n  28 -> 41 [size =\"28229632\"]\n  28 -> 42 [size =\"28229632\"]\n  28 -> 43 [size =\"28229632\"]\n  28 -> 44 [size =\"28229632\"]\n  28 -> 45 [size =\"28229632\"]\n  28 -> 47 [size =\"28229632\"]\n  29 [size=\"25459200\", alpha=\"0.01\", expect_size=\"10183680\"] \n  29 -> 36 [size =\"10183680\"]\n  29 -> 36 [size =\"10183680\"]\n  29 -> 37 [size =\"10183680\"]\n  29 -> 42 [size =\"10183680\"]\n  29 -> 43 [size =\"10183680\"]\n  29 -> 44 [size =\"10183680\"]\n  30 [size=\"29030400\", alpha=\"0.11\", expect_size=\"11612160\"] \n  30 -> 35 [size =\"11612160\"]\n  30 -> 37 [size =\"11612160\"]\n  30 -> 37 [size =\"11612160\"]\n  30 -> 40 [size =\"11612160\"]\n  30 -> 42 [size =\"11612160\"]\n  30 -> 44 [size =\"11612160\"]\n  30 -> 46 [size =\"11612160\"]\n  30 -> 48 [size =\"11612160\"]\n  30 -> 50 [size =\"11612160\"]\n  31 [size=\"23349760\", alpha=\"0.11\", expect_size=\"9339904\"] \n  32 [size=\"50672640\", alpha=\"0.17\", expect_size=\"20269056\"] \n  33 [size=\"18288640\", alpha=\"0.01\", expect_size=\"7315456\"] \n  34 [size=\"119288320\", alpha=\"0.12\", expect_size=\"47715328\"] \n  35 [size=\"50224640\", alpha=\"0.16\", expect_size=\"20089856\"] \n  36 [size=\"19637760\", alpha=\"0.17\", expect_size=\"7855104\"] \n  37 [size=\"128576000\", alpha=\"0.10\", expect_size=\"51430400\"] \n  38 [size=\"48570880\", alpha=\"0.09\", expect_size=\"19428352\"] \n  39 [size=\"51015680\", alpha=\"0.05\", expect_size=\"20406272\"] \n  40 [size=\"55964160\", alpha=\"0.06\", expect_size=\"22385664\"] \n  41 [size=\"123225600\", alpha=\"0.19\", expect_size=\"49290240\"] \n  42 [size=\"67650560\", alpha=\"0.02\", expect_size=\"27060224\"] \n  43 [size=\"49523200\", alpha=\"0.08\", expect_size=\"19809280\"] \n  44 [size=\"54991360\", alpha=\"0.08\", expect_size=\"21996544\"] \n  45 [size=\"125222400\", alpha=\"0.10\", expect_size=\"50088960\"] \n  46 [size=\"99934720\", alpha=\"0.09\", expect_size=\"39973888\"] \n  47 [size=\"79308800\", alpha=\"0.07\", expect_size=\"31723520\"] \n  48 [size=\"18460160\", alpha=\"0.15\", expect_size=\"7384064\"] \n  49 [size=\"68741120\", alpha=\"0.05\", expect_size=\"27496448\"] \n  50 [size=\"101081600\", alpha=\"0.17\", expect_size=\"40432640\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.988.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"42778624\", alpha=\"0.15\", expect_size=\"21389312\"] \n  1 -> 2 [size =\"21389312\"]\n  2 [size=\"96780288\", alpha=\"0.15\", expect_size=\"48390144\"] \n  2 -> 3 [size =\"48390144\"]\n  3 [size=\"10512384\", alpha=\"0.02\", expect_size=\"5256192\"] \n  3 -> 4 [size =\"5256192\"]\n  4 [size=\"101513216\", alpha=\"0.15\", expect_size=\"50756608\"] \n  4 -> 5 [size =\"50756608\"]\n  5 [size=\"41056256\", alpha=\"0.17\", expect_size=\"20528128\"] \n  5 -> 6 [size =\"20528128\"]\n  6 [size=\"33316864\", alpha=\"0.03\", expect_size=\"16658432\"] \n  6 -> 7 [size =\"16658432\"]\n  7 [size=\"25192448\", alpha=\"0.03\", expect_size=\"12596224\"] \n  7 -> 8 [size =\"12596224\"]\n  8 [size=\"78692352\", alpha=\"0.09\", expect_size=\"39346176\"] \n  8 -> 9 [size =\"39346176\"]\n  9 [size=\"83742720\", alpha=\"0.10\", expect_size=\"41871360\"] \n  9 -> 10 [size =\"41871360\"]\n  10 [size=\"38760448\", alpha=\"0.08\", expect_size=\"19380224\"] \n  10 -> 11 [size =\"19380224\"]\n  11 [size=\"96112640\", alpha=\"0.13\", expect_size=\"48056320\"] \n  11 -> 12 [size =\"48056320\"]\n  12 [size=\"71874560\", alpha=\"0.20\", expect_size=\"35937280\"] \n  12 -> 13 [size =\"35937280\"]\n  13 [size=\"49930240\", alpha=\"0.01\", expect_size=\"24965120\"] \n  13 -> 14 [size =\"24965120\"]\n  14 [size=\"57286656\", alpha=\"0.05\", expect_size=\"28643328\"] \n  14 -> 15 [size =\"28643328\"]\n  15 [size=\"32634880\", alpha=\"0.06\", expect_size=\"16317440\"] \n  15 -> 16 [size =\"16317440\"]\n  16 [size=\"19752960\", alpha=\"0.11\", expect_size=\"9876480\"] \n  16 -> 17 [size =\"9876480\"]\n  17 [size=\"33349632\", alpha=\"0.02\", expect_size=\"16674816\"] \n  17 -> 18 [size =\"16674816\"]\n  18 [size=\"49625088\", alpha=\"0.18\", expect_size=\"24812544\"] \n  18 -> 19 [size =\"24812544\"]\n  19 [size=\"92293120\", alpha=\"0.08\", expect_size=\"46146560\"] \n  19 -> 20 [size =\"46146560\"]\n  20 [size=\"43431936\", alpha=\"0.02\", expect_size=\"21715968\"] \n  20 -> 21 [size =\"21715968\"]\n  21 [size=\"80871424\", alpha=\"0.04\", expect_size=\"40435712\"] \n  21 -> 22 [size =\"40435712\"]\n  22 [size=\"49750016\", alpha=\"0.04\", expect_size=\"24875008\"] \n  22 -> 23 [size =\"24875008\"]\n  23 [size=\"48340992\", alpha=\"0.04\", expect_size=\"24170496\"] \n  23 -> 24 [size =\"24170496\"]\n  24 [size=\"52084736\", alpha=\"0.03\", expect_size=\"26042368\"] \n  24 -> 25 [size =\"26042368\"]\n  25 [size=\"73474048\", alpha=\"0.08\", expect_size=\"36737024\"] \n  25 -> 26 [size =\"36737024\"]\n  26 [size=\"101330944\", alpha=\"0.19\", expect_size=\"50665472\"] \n  26 -> 27 [size =\"50665472\"]\n  27 [size=\"58054656\", alpha=\"0.12\", expect_size=\"29027328\"] \n  27 -> 28 [size =\"29027328\"]\n  28 [size=\"65527808\", alpha=\"0.00\", expect_size=\"32763904\"] \n  28 -> 29 [size =\"32763904\"]\n  29 [size=\"55537664\", alpha=\"0.04\", expect_size=\"27768832\"] \n  29 -> 30 [size =\"27768832\"]\n  30 [size=\"91664384\", alpha=\"0.13\", expect_size=\"45832192\"] \n  30 -> 31 [size =\"45832192\"]\n  31 [size=\"102762496\", alpha=\"0.01\", expect_size=\"51381248\"] \n  31 -> 32 [size =\"51381248\"]\n  32 [size=\"26761216\", alpha=\"0.02\", expect_size=\"13380608\"] \n  32 -> 33 [size =\"13380608\"]\n  33 [size=\"44320768\", alpha=\"0.11\", expect_size=\"22160384\"] \n  33 -> 34 [size =\"22160384\"]\n  34 [size=\"61102080\", alpha=\"0.10\", expect_size=\"30551040\"] \n  34 -> 35 [size =\"30551040\"]\n  35 [size=\"73758720\", alpha=\"0.13\", expect_size=\"36879360\"] \n  35 -> 36 [size =\"36879360\"]\n  36 [size=\"18491392\", alpha=\"0.19\", expect_size=\"9245696\"] \n  36 -> 37 [size =\"9245696\"]\n  37 [size=\"12505088\", alpha=\"0.10\", expect_size=\"6252544\"] \n  37 -> 38 [size =\"6252544\"]\n  38 [size=\"70504448\", alpha=\"0.08\", expect_size=\"35252224\"] \n  38 -> 39 [size =\"35252224\"]\n  39 [size=\"71954432\", alpha=\"0.04\", expect_size=\"35977216\"] \n  39 -> 40 [size =\"35977216\"]\n  40 [size=\"90112000\", alpha=\"0.07\", expect_size=\"45056000\"] \n  40 -> 41 [size =\"45056000\"]\n  41 [size=\"58884096\", alpha=\"0.06\", expect_size=\"29442048\"] \n  41 -> 42 [size =\"29442048\"]\n  42 [size=\"63897600\", alpha=\"0.12\", expect_size=\"31948800\"] \n  42 -> 43 [size =\"31948800\"]\n  43 [size=\"72169472\", alpha=\"0.06\", expect_size=\"36084736\"] \n  43 -> 44 [size =\"36084736\"]\n  44 [size=\"28774400\", alpha=\"0.09\", expect_size=\"14387200\"] \n  44 -> 45 [size =\"14387200\"]\n  45 [size=\"74889216\", alpha=\"0.06\", expect_size=\"37444608\"] \n  45 -> 46 [size =\"37444608\"]\n  46 [size=\"43915264\", alpha=\"0.02\", expect_size=\"21957632\"] \n  46 -> 47 [size =\"21957632\"]\n  47 [size=\"39495680\", alpha=\"0.07\", expect_size=\"19747840\"] \n  47 -> 48 [size =\"19747840\"]\n  48 [size=\"84494336\", alpha=\"0.05\", expect_size=\"42247168\"] \n  48 -> 49 [size =\"42247168\"]\n  49 [size=\"29306880\", alpha=\"0.12\", expect_size=\"14653440\"] \n  49 -> 50 [size =\"14653440\"]\n  50 [size=\"50114560\", alpha=\"0.16\", expect_size=\"25057280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.989.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"147032747\", alpha=\"0.12\", expect_size=\"44109824\"] \n  1 -> 5 [size =\"44109824\"]\n  1 -> 6 [size =\"44109824\"]\n  1 -> 7 [size =\"44109824\"]\n  1 -> 8 [size =\"44109824\"]\n  1 -> 9 [size =\"44109824\"]\n  1 -> 10 [size =\"44109824\"]\n  2 [size=\"63259307\", alpha=\"0.15\", expect_size=\"18977792\"] \n  2 -> 6 [size =\"18977792\"]\n  2 -> 7 [size =\"18977792\"]\n  2 -> 8 [size =\"18977792\"]\n  2 -> 9 [size =\"18977792\"]\n  2 -> 10 [size =\"18977792\"]\n  2 -> 11 [size =\"18977792\"]\n  3 [size=\"79073280\", alpha=\"0.18\", expect_size=\"23721984\"] \n  3 -> 6 [size =\"23721984\"]\n  3 -> 7 [size =\"23721984\"]\n  3 -> 8 [size =\"23721984\"]\n  3 -> 10 [size =\"23721984\"]\n  4 [size=\"92074667\", alpha=\"0.10\", expect_size=\"27622400\"] \n  5 [size=\"135222613\", alpha=\"0.06\", expect_size=\"40566784\"] \n  5 -> 12 [size =\"40566784\"]\n  5 -> 13 [size =\"40566784\"]\n  5 -> 16 [size =\"40566784\"]\n  5 -> 17 [size =\"40566784\"]\n  6 [size=\"173151573\", alpha=\"0.13\", expect_size=\"51945472\"] \n  6 -> 12 [size =\"51945472\"]\n  7 [size=\"129095680\", alpha=\"0.16\", expect_size=\"38728704\"] \n  7 -> 12 [size =\"38728704\"]\n  7 -> 18 [size =\"38728704\"]\n  8 [size=\"80940373\", alpha=\"0.07\", expect_size=\"24282112\"] \n  8 -> 14 [size =\"24282112\"]\n  8 -> 15 [size =\"24282112\"]\n  8 -> 17 [size =\"24282112\"]\n  9 [size=\"170919253\", alpha=\"0.10\", expect_size=\"51275776\"] \n  9 -> 14 [size =\"51275776\"]\n  9 -> 15 [size =\"51275776\"]\n  10 [size=\"29545813\", alpha=\"0.05\", expect_size=\"8863744\"] \n  10 -> 14 [size =\"8863744\"]\n  10 -> 15 [size =\"8863744\"]\n  10 -> 16 [size =\"8863744\"]\n  10 -> 17 [size =\"8863744\"]\n  11 [size=\"86681600\", alpha=\"0.05\", expect_size=\"26004480\"] \n  11 -> 14 [size =\"26004480\"]\n  11 -> 15 [size =\"26004480\"]\n  11 -> 16 [size =\"26004480\"]\n  11 -> 17 [size =\"26004480\"]\n  12 [size=\"20695040\", alpha=\"0.05\", expect_size=\"6208512\"] \n  12 -> 20 [size =\"6208512\"]\n  12 -> 22 [size =\"6208512\"]\n  13 [size=\"137127253\", alpha=\"0.14\", expect_size=\"41138176\"] \n  13 -> 20 [size =\"41138176\"]\n  13 -> 22 [size =\"41138176\"]\n  14 [size=\"124661760\", alpha=\"0.02\", expect_size=\"37398528\"] \n  15 [size=\"48083627\", alpha=\"0.02\", expect_size=\"14425088\"] \n  15 -> 19 [size =\"14425088\"]\n  16 [size=\"94419627\", alpha=\"0.03\", expect_size=\"28325888\"] \n  17 [size=\"42874880\", alpha=\"0.16\", expect_size=\"12862464\"] \n  18 [size=\"164785493\", alpha=\"0.11\", expect_size=\"49435648\"] \n  18 -> 20 [size =\"49435648\"]\n  18 -> 21 [size =\"49435648\"]\n  19 [size=\"62989653\", alpha=\"0.10\", expect_size=\"18896896\"] \n  19 -> 25 [size =\"18896896\"]\n  20 [size=\"144708267\", alpha=\"0.04\", expect_size=\"43412480\"] \n  20 -> 24 [size =\"43412480\"]\n  21 [size=\"23016107\", alpha=\"0.14\", expect_size=\"6904832\"] \n  21 -> 23 [size =\"6904832\"]\n  21 -> 24 [size =\"6904832\"]\n  22 [size=\"59801600\", alpha=\"0.10\", expect_size=\"17940480\"] \n  22 -> 24 [size =\"17940480\"]\n  22 -> 25 [size =\"17940480\"]\n  22 -> 26 [size =\"17940480\"]\n  23 [size=\"97129813\", alpha=\"0.14\", expect_size=\"29138944\"] \n  23 -> 27 [size =\"29138944\"]\n  24 [size=\"46260907\", alpha=\"0.07\", expect_size=\"13878272\"] \n  24 -> 28 [size =\"13878272\"]\n  24 -> 30 [size =\"13878272\"]\n  25 [size=\"62033920\", alpha=\"0.16\", expect_size=\"18610176\"] \n  25 -> 28 [size =\"18610176\"]\n  25 -> 30 [size =\"18610176\"]\n  26 [size=\"74994347\", alpha=\"0.04\", expect_size=\"22498304\"] \n  26 -> 29 [size =\"22498304\"]\n  27 [size=\"95692800\", alpha=\"0.06\", expect_size=\"28707840\"] \n  27 -> 32 [size =\"28707840\"]\n  27 -> 33 [size =\"28707840\"]\n  27 -> 34 [size =\"28707840\"]\n  27 -> 36 [size =\"28707840\"]\n  27 -> 37 [size =\"28707840\"]\n  28 [size=\"62057813\", alpha=\"0.16\", expect_size=\"18617344\"] \n  28 -> 33 [size =\"18617344\"]\n  28 -> 35 [size =\"18617344\"]\n  28 -> 38 [size =\"18617344\"]\n  29 [size=\"149053440\", alpha=\"0.06\", expect_size=\"44716032\"] \n  29 -> 33 [size =\"44716032\"]\n  29 -> 37 [size =\"44716032\"]\n  30 [size=\"73495893\", alpha=\"0.18\", expect_size=\"22048768\"] \n  30 -> 31 [size =\"22048768\"]\n  30 -> 32 [size =\"22048768\"]\n  30 -> 34 [size =\"22048768\"]\n  30 -> 36 [size =\"22048768\"]\n  30 -> 37 [size =\"22048768\"]\n  30 -> 38 [size =\"22048768\"]\n  31 [size=\"105755307\", alpha=\"0.18\", expect_size=\"31726592\"] \n  31 -> 39 [size =\"31726592\"]\n  31 -> 40 [size =\"31726592\"]\n  31 -> 41 [size =\"31726592\"]\n  31 -> 42 [size =\"31726592\"]\n  31 -> 44 [size =\"31726592\"]\n  32 [size=\"60815360\", alpha=\"0.19\", expect_size=\"18244608\"] \n  32 -> 40 [size =\"18244608\"]\n  32 -> 41 [size =\"18244608\"]\n  32 -> 42 [size =\"18244608\"]\n  32 -> 43 [size =\"18244608\"]\n  32 -> 45 [size =\"18244608\"]\n  33 [size=\"141745493\", alpha=\"0.14\", expect_size=\"42523648\"] \n  33 -> 39 [size =\"42523648\"]\n  33 -> 43 [size =\"42523648\"]\n  33 -> 44 [size =\"42523648\"]\n  33 -> 45 [size =\"42523648\"]\n  34 [size=\"95569920\", alpha=\"0.04\", expect_size=\"28670976\"] \n  34 -> 39 [size =\"28670976\"]\n  34 -> 40 [size =\"28670976\"]\n  34 -> 42 [size =\"28670976\"]\n  35 [size=\"154176853\", alpha=\"0.17\", expect_size=\"46253056\"] \n  35 -> 39 [size =\"46253056\"]\n  35 -> 40 [size =\"46253056\"]\n  35 -> 41 [size =\"46253056\"]\n  35 -> 43 [size =\"46253056\"]\n  36 [size=\"120743253\", alpha=\"0.00\", expect_size=\"36222976\"] \n  36 -> 39 [size =\"36222976\"]\n  36 -> 40 [size =\"36222976\"]\n  36 -> 41 [size =\"36222976\"]\n  36 -> 42 [size =\"36222976\"]\n  36 -> 43 [size =\"36222976\"]\n  36 -> 45 [size =\"36222976\"]\n  36 -> 46 [size =\"36222976\"]\n  37 [size=\"150941013\", alpha=\"0.07\", expect_size=\"45282304\"] \n  37 -> 39 [size =\"45282304\"]\n  37 -> 40 [size =\"45282304\"]\n  37 -> 44 [size =\"45282304\"]\n  38 [size=\"41823573\", alpha=\"0.12\", expect_size=\"12547072\"] \n  38 -> 41 [size =\"12547072\"]\n  38 -> 43 [size =\"12547072\"]\n  38 -> 44 [size =\"12547072\"]\n  38 -> 45 [size =\"12547072\"]\n  39 [size=\"171424427\", alpha=\"0.03\", expect_size=\"51427328\"] \n  40 [size=\"64047787\", alpha=\"0.10\", expect_size=\"19214336\"] \n  40 -> 50 [size =\"19214336\"]\n  41 [size=\"46332587\", alpha=\"0.17\", expect_size=\"13899776\"] \n  41 -> 47 [size =\"13899776\"]\n  41 -> 50 [size =\"13899776\"]\n  42 [size=\"30201173\", alpha=\"0.11\", expect_size=\"9060352\"] \n  42 -> 47 [size =\"9060352\"]\n  42 -> 49 [size =\"9060352\"]\n  42 -> 50 [size =\"9060352\"]\n  43 [size=\"18872320\", alpha=\"0.14\", expect_size=\"5661696\"] \n  43 -> 47 [size =\"5661696\"]\n  43 -> 49 [size =\"5661696\"]\n  43 -> 50 [size =\"5661696\"]\n  44 [size=\"131997013\", alpha=\"0.01\", expect_size=\"39599104\"] \n  44 -> 47 [size =\"39599104\"]\n  44 -> 48 [size =\"39599104\"]\n  45 [size=\"162191360\", alpha=\"0.13\", expect_size=\"48657408\"] \n  45 -> 47 [size =\"48657408\"]\n  45 -> 49 [size =\"48657408\"]\n  46 [size=\"140059307\", alpha=\"0.13\", expect_size=\"42017792\"] \n  46 -> 47 [size =\"42017792\"]\n  46 -> 48 [size =\"42017792\"]\n  46 -> 49 [size =\"42017792\"]\n  46 -> 50 [size =\"42017792\"]\n  47 [size=\"142551040\", alpha=\"0.03\", expect_size=\"42765312\"] \n  48 [size=\"37775360\", alpha=\"0.19\", expect_size=\"11332608\"] \n  49 [size=\"130331307\", alpha=\"0.11\", expect_size=\"39099392\"] \n  50 [size=\"151162880\", alpha=\"0.10\", expect_size=\"45348864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57698304\", alpha=\"0.10\", expect_size=\"28849152\"] \n  1 -> 16 [size =\"28849152\"]\n  1 -> 23 [size =\"28849152\"]\n  1 -> 25 [size =\"28849152\"]\n  1 -> 26 [size =\"28849152\"]\n  1 -> 26 [size =\"28849152\"]\n  1 -> 27 [size =\"28849152\"]\n  1 -> 28 [size =\"28849152\"]\n  1 -> 29 [size =\"28849152\"]\n  2 [size=\"43913216\", alpha=\"0.01\", expect_size=\"21956608\"] \n  2 -> 16 [size =\"21956608\"]\n  2 -> 23 [size =\"21956608\"]\n  2 -> 27 [size =\"21956608\"]\n  2 -> 28 [size =\"21956608\"]\n  2 -> 29 [size =\"21956608\"]\n  3 [size=\"59392000\", alpha=\"0.14\", expect_size=\"29696000\"] \n  3 -> 16 [size =\"29696000\"]\n  3 -> 18 [size =\"29696000\"]\n  3 -> 20 [size =\"29696000\"]\n  3 -> 21 [size =\"29696000\"]\n  3 -> 23 [size =\"29696000\"]\n  3 -> 27 [size =\"29696000\"]\n  3 -> 28 [size =\"29696000\"]\n  3 -> 29 [size =\"29696000\"]\n  4 [size=\"26466304\", alpha=\"0.08\", expect_size=\"13233152\"] \n  4 -> 16 [size =\"13233152\"]\n  4 -> 18 [size =\"13233152\"]\n  4 -> 21 [size =\"13233152\"]\n  4 -> 22 [size =\"13233152\"]\n  4 -> 23 [size =\"13233152\"]\n  4 -> 25 [size =\"13233152\"]\n  4 -> 26 [size =\"13233152\"]\n  4 -> 27 [size =\"13233152\"]\n  4 -> 28 [size =\"13233152\"]\n  5 [size=\"20824064\", alpha=\"0.06\", expect_size=\"10412032\"] \n  5 -> 16 [size =\"10412032\"]\n  5 -> 18 [size =\"10412032\"]\n  5 -> 21 [size =\"10412032\"]\n  5 -> 23 [size =\"10412032\"]\n  5 -> 23 [size =\"10412032\"]\n  5 -> 26 [size =\"10412032\"]\n  5 -> 28 [size =\"10412032\"]\n  5 -> 29 [size =\"10412032\"]\n  6 [size=\"47683584\", alpha=\"0.05\", expect_size=\"23841792\"] \n  6 -> 18 [size =\"23841792\"]\n  6 -> 23 [size =\"23841792\"]\n  6 -> 26 [size =\"23841792\"]\n  6 -> 28 [size =\"23841792\"]\n  6 -> 29 [size =\"23841792\"]\n  7 [size=\"59658240\", alpha=\"0.19\", expect_size=\"29829120\"] \n  7 -> 18 [size =\"29829120\"]\n  7 -> 20 [size =\"29829120\"]\n  7 -> 23 [size =\"29829120\"]\n  7 -> 24 [size =\"29829120\"]\n  7 -> 25 [size =\"29829120\"]\n  7 -> 26 [size =\"29829120\"]\n  7 -> 28 [size =\"29829120\"]\n  7 -> 29 [size =\"29829120\"]\n  8 [size=\"36468736\", alpha=\"0.14\", expect_size=\"18234368\"] \n  8 -> 16 [size =\"18234368\"]\n  8 -> 18 [size =\"18234368\"]\n  8 -> 23 [size =\"18234368\"]\n  8 -> 26 [size =\"18234368\"]\n  8 -> 28 [size =\"18234368\"]\n  9 [size=\"77133824\", alpha=\"0.02\", expect_size=\"38566912\"] \n  9 -> 21 [size =\"38566912\"]\n  9 -> 23 [size =\"38566912\"]\n  9 -> 23 [size =\"38566912\"]\n  9 -> 24 [size =\"38566912\"]\n  9 -> 25 [size =\"38566912\"]\n  9 -> 26 [size =\"38566912\"]\n  9 -> 28 [size =\"38566912\"]\n  9 -> 29 [size =\"38566912\"]\n  10 [size=\"52125696\", alpha=\"0.18\", expect_size=\"26062848\"] \n  10 -> 17 [size =\"26062848\"]\n  10 -> 18 [size =\"26062848\"]\n  10 -> 21 [size =\"26062848\"]\n  10 -> 23 [size =\"26062848\"]\n  10 -> 24 [size =\"26062848\"]\n  10 -> 26 [size =\"26062848\"]\n  10 -> 28 [size =\"26062848\"]\n  11 [size=\"24770560\", alpha=\"0.15\", expect_size=\"12385280\"] \n  11 -> 18 [size =\"12385280\"]\n  11 -> 21 [size =\"12385280\"]\n  11 -> 26 [size =\"12385280\"]\n  11 -> 27 [size =\"12385280\"]\n  12 [size=\"70711296\", alpha=\"0.01\", expect_size=\"35355648\"] \n  12 -> 18 [size =\"35355648\"]\n  12 -> 21 [size =\"35355648\"]\n  12 -> 24 [size =\"35355648\"]\n  12 -> 25 [size =\"35355648\"]\n  12 -> 26 [size =\"35355648\"]\n  12 -> 29 [size =\"35355648\"]\n  13 [size=\"73568256\", alpha=\"0.10\", expect_size=\"36784128\"] \n  13 -> 18 [size =\"36784128\"]\n  13 -> 20 [size =\"36784128\"]\n  13 -> 25 [size =\"36784128\"]\n  13 -> 26 [size =\"36784128\"]\n  13 -> 27 [size =\"36784128\"]\n  13 -> 28 [size =\"36784128\"]\n  14 [size=\"44011520\", alpha=\"0.17\", expect_size=\"22005760\"] \n  14 -> 16 [size =\"22005760\"]\n  14 -> 18 [size =\"22005760\"]\n  14 -> 19 [size =\"22005760\"]\n  14 -> 20 [size =\"22005760\"]\n  14 -> 23 [size =\"22005760\"]\n  14 -> 24 [size =\"22005760\"]\n  14 -> 26 [size =\"22005760\"]\n  14 -> 27 [size =\"22005760\"]\n  14 -> 28 [size =\"22005760\"]\n  14 -> 29 [size =\"22005760\"]\n  15 [size=\"82292736\", alpha=\"0.02\", expect_size=\"41146368\"] \n  15 -> 16 [size =\"41146368\"]\n  15 -> 18 [size =\"41146368\"]\n  15 -> 21 [size =\"41146368\"]\n  15 -> 24 [size =\"41146368\"]\n  15 -> 26 [size =\"41146368\"]\n  15 -> 27 [size =\"41146368\"]\n  15 -> 28 [size =\"41146368\"]\n  15 -> 29 [size =\"41146368\"]\n  16 [size=\"15714304\", alpha=\"0.01\", expect_size=\"7857152\"] \n  16 -> 32 [size =\"7857152\"]\n  16 -> 32 [size =\"7857152\"]\n  16 -> 33 [size =\"7857152\"]\n  16 -> 36 [size =\"7857152\"]\n  16 -> 36 [size =\"7857152\"]\n  16 -> 39 [size =\"7857152\"]\n  16 -> 41 [size =\"7857152\"]\n  17 [size=\"38973440\", alpha=\"0.02\", expect_size=\"19486720\"] \n  17 -> 31 [size =\"19486720\"]\n  17 -> 32 [size =\"19486720\"]\n  17 -> 33 [size =\"19486720\"]\n  17 -> 36 [size =\"19486720\"]\n  17 -> 41 [size =\"19486720\"]\n  18 [size=\"32849920\", alpha=\"0.19\", expect_size=\"16424960\"] \n  18 -> 32 [size =\"16424960\"]\n  18 -> 34 [size =\"16424960\"]\n  18 -> 35 [size =\"16424960\"]\n  18 -> 37 [size =\"16424960\"]\n  18 -> 38 [size =\"16424960\"]\n  18 -> 39 [size =\"16424960\"]\n  18 -> 41 [size =\"16424960\"]\n  18 -> 44 [size =\"16424960\"]\n  19 [size=\"99115008\", alpha=\"0.01\", expect_size=\"49557504\"] \n  19 -> 30 [size =\"49557504\"]\n  19 -> 33 [size =\"49557504\"]\n  19 -> 34 [size =\"49557504\"]\n  19 -> 35 [size =\"49557504\"]\n  19 -> 39 [size =\"49557504\"]\n  19 -> 41 [size =\"49557504\"]\n  20 [size=\"15933440\", alpha=\"0.11\", expect_size=\"7966720\"] \n  20 -> 30 [size =\"7966720\"]\n  20 -> 32 [size =\"7966720\"]\n  20 -> 34 [size =\"7966720\"]\n  20 -> 35 [size =\"7966720\"]\n  20 -> 39 [size =\"7966720\"]\n  21 [size=\"103211008\", alpha=\"0.11\", expect_size=\"51605504\"] \n  21 -> 32 [size =\"51605504\"]\n  21 -> 33 [size =\"51605504\"]\n  21 -> 34 [size =\"51605504\"]\n  21 -> 35 [size =\"51605504\"]\n  21 -> 39 [size =\"51605504\"]\n  21 -> 42 [size =\"51605504\"]\n  21 -> 43 [size =\"51605504\"]\n  21 -> 44 [size =\"51605504\"]\n  22 [size=\"79194112\", alpha=\"0.17\", expect_size=\"39597056\"] \n  22 -> 30 [size =\"39597056\"]\n  22 -> 31 [size =\"39597056\"]\n  22 -> 32 [size =\"39597056\"]\n  22 -> 33 [size =\"39597056\"]\n  22 -> 35 [size =\"39597056\"]\n  22 -> 37 [size =\"39597056\"]\n  22 -> 39 [size =\"39597056\"]\n  22 -> 41 [size =\"39597056\"]\n  22 -> 43 [size =\"39597056\"]\n  22 -> 44 [size =\"39597056\"]\n  23 [size=\"81840128\", alpha=\"0.14\", expect_size=\"40920064\"] \n  23 -> 31 [size =\"40920064\"]\n  23 -> 32 [size =\"40920064\"]\n  23 -> 33 [size =\"40920064\"]\n  23 -> 34 [size =\"40920064\"]\n  23 -> 35 [size =\"40920064\"]\n  23 -> 37 [size =\"40920064\"]\n  23 -> 39 [size =\"40920064\"]\n  23 -> 41 [size =\"40920064\"]\n  23 -> 43 [size =\"40920064\"]\n  23 -> 44 [size =\"40920064\"]\n  24 [size=\"35379200\", alpha=\"0.15\", expect_size=\"17689600\"] \n  24 -> 30 [size =\"17689600\"]\n  24 -> 32 [size =\"17689600\"]\n  24 -> 33 [size =\"17689600\"]\n  24 -> 35 [size =\"17689600\"]\n  24 -> 36 [size =\"17689600\"]\n  24 -> 37 [size =\"17689600\"]\n  24 -> 39 [size =\"17689600\"]\n  24 -> 41 [size =\"17689600\"]\n  24 -> 42 [size =\"17689600\"]\n  24 -> 43 [size =\"17689600\"]\n  24 -> 44 [size =\"17689600\"]\n  25 [size=\"20471808\", alpha=\"0.18\", expect_size=\"10235904\"] \n  25 -> 30 [size =\"10235904\"]\n  25 -> 31 [size =\"10235904\"]\n  25 -> 32 [size =\"10235904\"]\n  25 -> 33 [size =\"10235904\"]\n  25 -> 36 [size =\"10235904\"]\n  25 -> 39 [size =\"10235904\"]\n  25 -> 41 [size =\"10235904\"]\n  25 -> 41 [size =\"10235904\"]\n  25 -> 43 [size =\"10235904\"]\n  25 -> 44 [size =\"10235904\"]\n  26 [size=\"27756544\", alpha=\"0.08\", expect_size=\"13878272\"] \n  26 -> 33 [size =\"13878272\"]\n  26 -> 36 [size =\"13878272\"]\n  26 -> 39 [size =\"13878272\"]\n  26 -> 40 [size =\"13878272\"]\n  26 -> 41 [size =\"13878272\"]\n  27 [size=\"31391744\", alpha=\"0.09\", expect_size=\"15695872\"] \n  27 -> 32 [size =\"15695872\"]\n  27 -> 35 [size =\"15695872\"]\n  27 -> 36 [size =\"15695872\"]\n  27 -> 39 [size =\"15695872\"]\n  27 -> 41 [size =\"15695872\"]\n  27 -> 43 [size =\"15695872\"]\n  27 -> 44 [size =\"15695872\"]\n  28 [size=\"42856448\", alpha=\"0.16\", expect_size=\"21428224\"] \n  28 -> 32 [size =\"21428224\"]\n  28 -> 34 [size =\"21428224\"]\n  28 -> 36 [size =\"21428224\"]\n  28 -> 39 [size =\"21428224\"]\n  28 -> 40 [size =\"21428224\"]\n  28 -> 41 [size =\"21428224\"]\n  29 [size=\"38856704\", alpha=\"0.17\", expect_size=\"19428352\"] \n  29 -> 30 [size =\"19428352\"]\n  29 -> 32 [size =\"19428352\"]\n  29 -> 34 [size =\"19428352\"]\n  29 -> 35 [size =\"19428352\"]\n  29 -> 36 [size =\"19428352\"]\n  29 -> 38 [size =\"19428352\"]\n  29 -> 39 [size =\"19428352\"]\n  29 -> 41 [size =\"19428352\"]\n  29 -> 43 [size =\"19428352\"]\n  30 [size=\"44374016\", alpha=\"0.06\", expect_size=\"22187008\"] \n  30 -> 46 [size =\"22187008\"]\n  30 -> 49 [size =\"22187008\"]\n  31 [size=\"95606784\", alpha=\"0.19\", expect_size=\"47803392\"] \n  31 -> 45 [size =\"47803392\"]\n  31 -> 46 [size =\"47803392\"]\n  31 -> 47 [size =\"47803392\"]\n  31 -> 49 [size =\"47803392\"]\n  32 [size=\"51019776\", alpha=\"0.04\", expect_size=\"25509888\"] \n  32 -> 46 [size =\"25509888\"]\n  32 -> 46 [size =\"25509888\"]\n  32 -> 47 [size =\"25509888\"]\n  33 [size=\"38418432\", alpha=\"0.02\", expect_size=\"19209216\"] \n  33 -> 45 [size =\"19209216\"]\n  33 -> 46 [size =\"19209216\"]\n  33 -> 49 [size =\"19209216\"]\n  33 -> 50 [size =\"19209216\"]\n  34 [size=\"12337152\", alpha=\"0.08\", expect_size=\"6168576\"] \n  34 -> 46 [size =\"6168576\"]\n  34 -> 46 [size =\"6168576\"]\n  35 [size=\"83128320\", alpha=\"0.09\", expect_size=\"41564160\"] \n  35 -> 46 [size =\"41564160\"]\n  35 -> 47 [size =\"41564160\"]\n  35 -> 48 [size =\"41564160\"]\n  35 -> 49 [size =\"41564160\"]\n  36 [size=\"72390656\", alpha=\"0.11\", expect_size=\"36195328\"] \n  36 -> 45 [size =\"36195328\"]\n  36 -> 46 [size =\"36195328\"]\n  36 -> 47 [size =\"36195328\"]\n  36 -> 48 [size =\"36195328\"]\n  36 -> 49 [size =\"36195328\"]\n  37 [size=\"17317888\", alpha=\"0.19\", expect_size=\"8658944\"] \n  37 -> 46 [size =\"8658944\"]\n  37 -> 49 [size =\"8658944\"]\n  37 -> 50 [size =\"8658944\"]\n  38 [size=\"61460480\", alpha=\"0.12\", expect_size=\"30730240\"] \n  38 -> 45 [size =\"30730240\"]\n  38 -> 47 [size =\"30730240\"]\n  38 -> 49 [size =\"30730240\"]\n  39 [size=\"42053632\", alpha=\"0.04\", expect_size=\"21026816\"] \n  39 -> 49 [size =\"21026816\"]\n  40 [size=\"25749504\", alpha=\"0.17\", expect_size=\"12874752\"] \n  40 -> 47 [size =\"12874752\"]\n  40 -> 49 [size =\"12874752\"]\n  41 [size=\"54188032\", alpha=\"0.09\", expect_size=\"27094016\"] \n  41 -> 45 [size =\"27094016\"]\n  41 -> 48 [size =\"27094016\"]\n  41 -> 49 [size =\"27094016\"]\n  42 [size=\"47280128\", alpha=\"0.16\", expect_size=\"23640064\"] \n  42 -> 45 [size =\"23640064\"]\n  42 -> 49 [size =\"23640064\"]\n  42 -> 49 [size =\"23640064\"]\n  43 [size=\"65253376\", alpha=\"0.18\", expect_size=\"32626688\"] \n  43 -> 46 [size =\"32626688\"]\n  43 -> 47 [size =\"32626688\"]\n  43 -> 48 [size =\"32626688\"]\n  43 -> 49 [size =\"32626688\"]\n  44 [size=\"76822528\", alpha=\"0.06\", expect_size=\"38411264\"] \n  44 -> 46 [size =\"38411264\"]\n  44 -> 48 [size =\"38411264\"]\n  44 -> 48 [size =\"38411264\"]\n  44 -> 49 [size =\"38411264\"]\n  45 [size=\"21141504\", alpha=\"0.15\", expect_size=\"10570752\"] \n  46 [size=\"64391168\", alpha=\"0.08\", expect_size=\"32195584\"] \n  47 [size=\"23056384\", alpha=\"0.06\", expect_size=\"11528192\"] \n  48 [size=\"19998720\", alpha=\"0.10\", expect_size=\"9999360\"] \n  49 [size=\"77584384\", alpha=\"0.01\", expect_size=\"38792192\"] \n  50 [size=\"95700992\", alpha=\"0.19\", expect_size=\"47850496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.990.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"27234304\", alpha=\"0.01\", expect_size=\"13617152\"] \n  1 -> 32 [size =\"13617152\"]\n  1 -> 34 [size =\"13617152\"]\n  1 -> 38 [size =\"13617152\"]\n  1 -> 39 [size =\"13617152\"]\n  1 -> 40 [size =\"13617152\"]\n  1 -> 41 [size =\"13617152\"]\n  1 -> 42 [size =\"13617152\"]\n  1 -> 49 [size =\"13617152\"]\n  2 [size=\"61708288\", alpha=\"0.16\", expect_size=\"30854144\"] \n  2 -> 31 [size =\"30854144\"]\n  2 -> 35 [size =\"30854144\"]\n  2 -> 41 [size =\"30854144\"]\n  2 -> 42 [size =\"30854144\"]\n  2 -> 48 [size =\"30854144\"]\n  2 -> 49 [size =\"30854144\"]\n  3 [size=\"55218176\", alpha=\"0.11\", expect_size=\"27609088\"] \n  3 -> 31 [size =\"27609088\"]\n  3 -> 32 [size =\"27609088\"]\n  3 -> 33 [size =\"27609088\"]\n  3 -> 34 [size =\"27609088\"]\n  3 -> 35 [size =\"27609088\"]\n  3 -> 37 [size =\"27609088\"]\n  3 -> 39 [size =\"27609088\"]\n  3 -> 45 [size =\"27609088\"]\n  3 -> 46 [size =\"27609088\"]\n  3 -> 48 [size =\"27609088\"]\n  3 -> 49 [size =\"27609088\"]\n  4 [size=\"95778816\", alpha=\"0.02\", expect_size=\"47889408\"] \n  4 -> 31 [size =\"47889408\"]\n  4 -> 36 [size =\"47889408\"]\n  4 -> 37 [size =\"47889408\"]\n  4 -> 39 [size =\"47889408\"]\n  4 -> 40 [size =\"47889408\"]\n  4 -> 42 [size =\"47889408\"]\n  4 -> 48 [size =\"47889408\"]\n  4 -> 49 [size =\"47889408\"]\n  5 [size=\"78690304\", alpha=\"0.06\", expect_size=\"39345152\"] \n  5 -> 31 [size =\"39345152\"]\n  5 -> 34 [size =\"39345152\"]\n  5 -> 36 [size =\"39345152\"]\n  5 -> 37 [size =\"39345152\"]\n  5 -> 39 [size =\"39345152\"]\n  5 -> 40 [size =\"39345152\"]\n  5 -> 42 [size =\"39345152\"]\n  5 -> 45 [size =\"39345152\"]\n  5 -> 49 [size =\"39345152\"]\n  5 -> 50 [size =\"39345152\"]\n  6 [size=\"52781056\", alpha=\"0.15\", expect_size=\"26390528\"] \n  6 -> 35 [size =\"26390528\"]\n  6 -> 37 [size =\"26390528\"]\n  6 -> 40 [size =\"26390528\"]\n  6 -> 42 [size =\"26390528\"]\n  6 -> 46 [size =\"26390528\"]\n  6 -> 49 [size =\"26390528\"]\n  7 [size=\"72427520\", alpha=\"0.18\", expect_size=\"36213760\"] \n  7 -> 30 [size =\"36213760\"]\n  7 -> 38 [size =\"36213760\"]\n  7 -> 42 [size =\"36213760\"]\n  7 -> 46 [size =\"36213760\"]\n  7 -> 47 [size =\"36213760\"]\n  7 -> 48 [size =\"36213760\"]\n  7 -> 49 [size =\"36213760\"]\n  8 [size=\"13776896\", alpha=\"0.00\", expect_size=\"6888448\"] \n  8 -> 30 [size =\"6888448\"]\n  8 -> 34 [size =\"6888448\"]\n  8 -> 35 [size =\"6888448\"]\n  8 -> 36 [size =\"6888448\"]\n  8 -> 40 [size =\"6888448\"]\n  8 -> 41 [size =\"6888448\"]\n  8 -> 45 [size =\"6888448\"]\n  8 -> 46 [size =\"6888448\"]\n  8 -> 47 [size =\"6888448\"]\n  8 -> 50 [size =\"6888448\"]\n  9 [size=\"18919424\", alpha=\"0.17\", expect_size=\"9459712\"] \n  9 -> 30 [size =\"9459712\"]\n  9 -> 35 [size =\"9459712\"]\n  9 -> 36 [size =\"9459712\"]\n  9 -> 40 [size =\"9459712\"]\n  9 -> 41 [size =\"9459712\"]\n  9 -> 41 [size =\"9459712\"]\n  9 -> 45 [size =\"9459712\"]\n  9 -> 46 [size =\"9459712\"]\n  9 -> 47 [size =\"9459712\"]\n  9 -> 50 [size =\"9459712\"]\n  10 [size=\"48209920\", alpha=\"0.03\", expect_size=\"24104960\"] \n  10 -> 36 [size =\"24104960\"]\n  10 -> 39 [size =\"24104960\"]\n  10 -> 44 [size =\"24104960\"]\n  10 -> 45 [size =\"24104960\"]\n  10 -> 46 [size =\"24104960\"]\n  10 -> 48 [size =\"24104960\"]\n  11 [size=\"39090176\", alpha=\"0.00\", expect_size=\"19545088\"] \n  11 -> 32 [size =\"19545088\"]\n  11 -> 43 [size =\"19545088\"]\n  11 -> 45 [size =\"19545088\"]\n  11 -> 46 [size =\"19545088\"]\n  11 -> 46 [size =\"19545088\"]\n  11 -> 49 [size =\"19545088\"]\n  12 [size=\"42323968\", alpha=\"0.19\", expect_size=\"21161984\"] \n  12 -> 35 [size =\"21161984\"]\n  12 -> 38 [size =\"21161984\"]\n  12 -> 39 [size =\"21161984\"]\n  12 -> 45 [size =\"21161984\"]\n  12 -> 46 [size =\"21161984\"]\n  12 -> 48 [size =\"21161984\"]\n  13 [size=\"23105536\", alpha=\"0.19\", expect_size=\"11552768\"] \n  13 -> 35 [size =\"11552768\"]\n  13 -> 40 [size =\"11552768\"]\n  13 -> 44 [size =\"11552768\"]\n  13 -> 46 [size =\"11552768\"]\n  13 -> 46 [size =\"11552768\"]\n  13 -> 49 [size =\"11552768\"]\n  14 [size=\"72767488\", alpha=\"0.01\", expect_size=\"36383744\"] \n  14 -> 30 [size =\"36383744\"]\n  14 -> 31 [size =\"36383744\"]\n  14 -> 35 [size =\"36383744\"]\n  14 -> 36 [size =\"36383744\"]\n  14 -> 40 [size =\"36383744\"]\n  14 -> 46 [size =\"36383744\"]\n  14 -> 49 [size =\"36383744\"]\n  15 [size=\"82860032\", alpha=\"0.17\", expect_size=\"41430016\"] \n  15 -> 30 [size =\"41430016\"]\n  15 -> 32 [size =\"41430016\"]\n  15 -> 36 [size =\"41430016\"]\n  15 -> 36 [size =\"41430016\"]\n  15 -> 40 [size =\"41430016\"]\n  15 -> 46 [size =\"41430016\"]\n  16 [size=\"17063936\", alpha=\"0.15\", expect_size=\"8531968\"] \n  16 -> 32 [size =\"8531968\"]\n  16 -> 36 [size =\"8531968\"]\n  16 -> 37 [size =\"8531968\"]\n  16 -> 40 [size =\"8531968\"]\n  16 -> 40 [size =\"8531968\"]\n  16 -> 41 [size =\"8531968\"]\n  16 -> 42 [size =\"8531968\"]\n  16 -> 46 [size =\"8531968\"]\n  16 -> 47 [size =\"8531968\"]\n  16 -> 50 [size =\"8531968\"]\n  17 [size=\"87666688\", alpha=\"0.02\", expect_size=\"43833344\"] \n  17 -> 30 [size =\"43833344\"]\n  17 -> 32 [size =\"43833344\"]\n  17 -> 35 [size =\"43833344\"]\n  17 -> 40 [size =\"43833344\"]\n  17 -> 45 [size =\"43833344\"]\n  17 -> 48 [size =\"43833344\"]\n  18 [size=\"77213696\", alpha=\"0.01\", expect_size=\"38606848\"] \n  18 -> 32 [size =\"38606848\"]\n  18 -> 34 [size =\"38606848\"]\n  18 -> 35 [size =\"38606848\"]\n  18 -> 38 [size =\"38606848\"]\n  18 -> 41 [size =\"38606848\"]\n  18 -> 46 [size =\"38606848\"]\n  19 [size=\"78168064\", alpha=\"0.03\", expect_size=\"39084032\"] \n  19 -> 35 [size =\"39084032\"]\n  19 -> 40 [size =\"39084032\"]\n  19 -> 48 [size =\"39084032\"]\n  19 -> 49 [size =\"39084032\"]\n  20 [size=\"63348736\", alpha=\"0.06\", expect_size=\"31674368\"] \n  20 -> 31 [size =\"31674368\"]\n  20 -> 32 [size =\"31674368\"]\n  20 -> 35 [size =\"31674368\"]\n  20 -> 36 [size =\"31674368\"]\n  20 -> 39 [size =\"31674368\"]\n  20 -> 42 [size =\"31674368\"]\n  20 -> 48 [size =\"31674368\"]\n  20 -> 49 [size =\"31674368\"]\n  21 [size=\"79708160\", alpha=\"0.12\", expect_size=\"39854080\"] \n  21 -> 33 [size =\"39854080\"]\n  21 -> 35 [size =\"39854080\"]\n  21 -> 38 [size =\"39854080\"]\n  21 -> 41 [size =\"39854080\"]\n  21 -> 45 [size =\"39854080\"]\n  21 -> 49 [size =\"39854080\"]\n  22 [size=\"81094656\", alpha=\"0.09\", expect_size=\"40547328\"] \n  22 -> 31 [size =\"40547328\"]\n  22 -> 36 [size =\"40547328\"]\n  22 -> 39 [size =\"40547328\"]\n  22 -> 45 [size =\"40547328\"]\n  22 -> 46 [size =\"40547328\"]\n  22 -> 48 [size =\"40547328\"]\n  22 -> 49 [size =\"40547328\"]\n  23 [size=\"77086720\", alpha=\"0.16\", expect_size=\"38543360\"] \n  23 -> 30 [size =\"38543360\"]\n  23 -> 31 [size =\"38543360\"]\n  23 -> 35 [size =\"38543360\"]\n  23 -> 41 [size =\"38543360\"]\n  23 -> 47 [size =\"38543360\"]\n  24 [size=\"72626176\", alpha=\"0.01\", expect_size=\"36313088\"] \n  24 -> 31 [size =\"36313088\"]\n  24 -> 38 [size =\"36313088\"]\n  24 -> 41 [size =\"36313088\"]\n  25 [size=\"77252608\", alpha=\"0.00\", expect_size=\"38626304\"] \n  25 -> 31 [size =\"38626304\"]\n  25 -> 36 [size =\"38626304\"]\n  25 -> 40 [size =\"38626304\"]\n  25 -> 41 [size =\"38626304\"]\n  25 -> 49 [size =\"38626304\"]\n  26 [size=\"64311296\", alpha=\"0.08\", expect_size=\"32155648\"] \n  26 -> 32 [size =\"32155648\"]\n  26 -> 34 [size =\"32155648\"]\n  26 -> 41 [size =\"32155648\"]\n  26 -> 41 [size =\"32155648\"]\n  26 -> 42 [size =\"32155648\"]\n  26 -> 45 [size =\"32155648\"]\n  26 -> 47 [size =\"32155648\"]\n  26 -> 49 [size =\"32155648\"]\n  27 [size=\"38555648\", alpha=\"0.10\", expect_size=\"19277824\"] \n  27 -> 32 [size =\"19277824\"]\n  27 -> 35 [size =\"19277824\"]\n  27 -> 38 [size =\"19277824\"]\n  27 -> 40 [size =\"19277824\"]\n  27 -> 42 [size =\"19277824\"]\n  27 -> 45 [size =\"19277824\"]\n  27 -> 48 [size =\"19277824\"]\n  28 [size=\"46866432\", alpha=\"0.12\", expect_size=\"23433216\"] \n  28 -> 30 [size =\"23433216\"]\n  28 -> 34 [size =\"23433216\"]\n  28 -> 38 [size =\"23433216\"]\n  28 -> 42 [size =\"23433216\"]\n  28 -> 43 [size =\"23433216\"]\n  28 -> 46 [size =\"23433216\"]\n  29 [size=\"50776064\", alpha=\"0.15\", expect_size=\"25388032\"] \n  29 -> 30 [size =\"25388032\"]\n  29 -> 33 [size =\"25388032\"]\n  29 -> 34 [size =\"25388032\"]\n  29 -> 38 [size =\"25388032\"]\n  29 -> 39 [size =\"25388032\"]\n  29 -> 40 [size =\"25388032\"]\n  29 -> 41 [size =\"25388032\"]\n  29 -> 43 [size =\"25388032\"]\n  29 -> 45 [size =\"25388032\"]\n  29 -> 48 [size =\"25388032\"]\n  30 [size=\"64632832\", alpha=\"0.07\", expect_size=\"32316416\"] \n  31 [size=\"91760640\", alpha=\"0.05\", expect_size=\"45880320\"] \n  32 [size=\"54534144\", alpha=\"0.10\", expect_size=\"27267072\"] \n  33 [size=\"98553856\", alpha=\"0.17\", expect_size=\"49276928\"] \n  34 [size=\"79804416\", alpha=\"0.17\", expect_size=\"39902208\"] \n  35 [size=\"83585024\", alpha=\"0.13\", expect_size=\"41792512\"] \n  36 [size=\"83726336\", alpha=\"0.10\", expect_size=\"41863168\"] \n  37 [size=\"28153856\", alpha=\"0.04\", expect_size=\"14076928\"] \n  38 [size=\"73181184\", alpha=\"0.12\", expect_size=\"36590592\"] \n  39 [size=\"33355776\", alpha=\"0.14\", expect_size=\"16677888\"] \n  40 [size=\"11483136\", alpha=\"0.07\", expect_size=\"5741568\"] \n  41 [size=\"45293568\", alpha=\"0.15\", expect_size=\"22646784\"] \n  42 [size=\"69015552\", alpha=\"0.18\", expect_size=\"34507776\"] \n  43 [size=\"20117504\", alpha=\"0.15\", expect_size=\"10058752\"] \n  44 [size=\"99964928\", alpha=\"0.05\", expect_size=\"49982464\"] \n  45 [size=\"87728128\", alpha=\"0.09\", expect_size=\"43864064\"] \n  46 [size=\"55777280\", alpha=\"0.05\", expect_size=\"27888640\"] \n  47 [size=\"10694656\", alpha=\"0.07\", expect_size=\"5347328\"] \n  48 [size=\"29663232\", alpha=\"0.16\", expect_size=\"14831616\"] \n  49 [size=\"85037056\", alpha=\"0.14\", expect_size=\"42518528\"] \n  50 [size=\"55758848\", alpha=\"0.04\", expect_size=\"27879424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.991.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96149504\", alpha=\"0.03\", expect_size=\"48074752\"] \n  1 -> 17 [size =\"48074752\"]\n  1 -> 18 [size =\"48074752\"]\n  1 -> 20 [size =\"48074752\"]\n  1 -> 24 [size =\"48074752\"]\n  1 -> 25 [size =\"48074752\"]\n  1 -> 26 [size =\"48074752\"]\n  1 -> 29 [size =\"48074752\"]\n  1 -> 32 [size =\"48074752\"]\n  2 [size=\"47560704\", alpha=\"0.03\", expect_size=\"23780352\"] \n  2 -> 22 [size =\"23780352\"]\n  2 -> 26 [size =\"23780352\"]\n  3 [size=\"62660608\", alpha=\"0.18\", expect_size=\"31330304\"] \n  3 -> 22 [size =\"31330304\"]\n  3 -> 25 [size =\"31330304\"]\n  3 -> 30 [size =\"31330304\"]\n  4 [size=\"78401536\", alpha=\"0.05\", expect_size=\"39200768\"] \n  4 -> 17 [size =\"39200768\"]\n  4 -> 27 [size =\"39200768\"]\n  4 -> 30 [size =\"39200768\"]\n  4 -> 31 [size =\"39200768\"]\n  4 -> 32 [size =\"39200768\"]\n  5 [size=\"27183104\", alpha=\"0.05\", expect_size=\"13591552\"] \n  5 -> 16 [size =\"13591552\"]\n  5 -> 18 [size =\"13591552\"]\n  5 -> 22 [size =\"13591552\"]\n  5 -> 23 [size =\"13591552\"]\n  5 -> 25 [size =\"13591552\"]\n  5 -> 31 [size =\"13591552\"]\n  5 -> 33 [size =\"13591552\"]\n  6 [size=\"65673216\", alpha=\"0.10\", expect_size=\"32836608\"] \n  6 -> 18 [size =\"32836608\"]\n  6 -> 20 [size =\"32836608\"]\n  6 -> 22 [size =\"32836608\"]\n  6 -> 23 [size =\"32836608\"]\n  6 -> 25 [size =\"32836608\"]\n  6 -> 26 [size =\"32836608\"]\n  6 -> 31 [size =\"32836608\"]\n  7 [size=\"39761920\", alpha=\"0.19\", expect_size=\"19880960\"] \n  7 -> 17 [size =\"19880960\"]\n  7 -> 18 [size =\"19880960\"]\n  7 -> 21 [size =\"19880960\"]\n  7 -> 23 [size =\"19880960\"]\n  7 -> 25 [size =\"19880960\"]\n  7 -> 26 [size =\"19880960\"]\n  7 -> 30 [size =\"19880960\"]\n  7 -> 33 [size =\"19880960\"]\n  8 [size=\"56436736\", alpha=\"0.10\", expect_size=\"28218368\"] \n  8 -> 18 [size =\"28218368\"]\n  8 -> 19 [size =\"28218368\"]\n  8 -> 20 [size =\"28218368\"]\n  8 -> 23 [size =\"28218368\"]\n  8 -> 25 [size =\"28218368\"]\n  8 -> 26 [size =\"28218368\"]\n  8 -> 27 [size =\"28218368\"]\n  8 -> 33 [size =\"28218368\"]\n  9 [size=\"62339072\", alpha=\"0.08\", expect_size=\"31169536\"] \n  9 -> 17 [size =\"31169536\"]\n  9 -> 20 [size =\"31169536\"]\n  9 -> 25 [size =\"31169536\"]\n  9 -> 26 [size =\"31169536\"]\n  9 -> 32 [size =\"31169536\"]\n  10 [size=\"19959808\", alpha=\"0.14\", expect_size=\"9979904\"] \n  10 -> 20 [size =\"9979904\"]\n  10 -> 20 [size =\"9979904\"]\n  10 -> 22 [size =\"9979904\"]\n  10 -> 23 [size =\"9979904\"]\n  10 -> 25 [size =\"9979904\"]\n  10 -> 26 [size =\"9979904\"]\n  10 -> 28 [size =\"9979904\"]\n  10 -> 30 [size =\"9979904\"]\n  10 -> 32 [size =\"9979904\"]\n  11 [size=\"65822720\", alpha=\"0.13\", expect_size=\"32911360\"] \n  11 -> 20 [size =\"32911360\"]\n  11 -> 22 [size =\"32911360\"]\n  11 -> 25 [size =\"32911360\"]\n  11 -> 26 [size =\"32911360\"]\n  11 -> 27 [size =\"32911360\"]\n  11 -> 30 [size =\"32911360\"]\n  11 -> 31 [size =\"32911360\"]\n  12 [size=\"81868800\", alpha=\"0.05\", expect_size=\"40934400\"] \n  12 -> 20 [size =\"40934400\"]\n  12 -> 25 [size =\"40934400\"]\n  12 -> 27 [size =\"40934400\"]\n  12 -> 28 [size =\"40934400\"]\n  12 -> 29 [size =\"40934400\"]\n  12 -> 30 [size =\"40934400\"]\n  12 -> 31 [size =\"40934400\"]\n  13 [size=\"97974272\", alpha=\"0.20\", expect_size=\"48987136\"] \n  13 -> 17 [size =\"48987136\"]\n  13 -> 18 [size =\"48987136\"]\n  13 -> 20 [size =\"48987136\"]\n  13 -> 23 [size =\"48987136\"]\n  13 -> 27 [size =\"48987136\"]\n  13 -> 30 [size =\"48987136\"]\n  14 [size=\"89108480\", alpha=\"0.04\", expect_size=\"44554240\"] \n  14 -> 18 [size =\"44554240\"]\n  14 -> 20 [size =\"44554240\"]\n  14 -> 22 [size =\"44554240\"]\n  14 -> 24 [size =\"44554240\"]\n  14 -> 26 [size =\"44554240\"]\n  14 -> 27 [size =\"44554240\"]\n  14 -> 29 [size =\"44554240\"]\n  14 -> 30 [size =\"44554240\"]\n  14 -> 33 [size =\"44554240\"]\n  15 [size=\"17534976\", alpha=\"0.04\", expect_size=\"8767488\"] \n  15 -> 18 [size =\"8767488\"]\n  15 -> 22 [size =\"8767488\"]\n  15 -> 23 [size =\"8767488\"]\n  15 -> 25 [size =\"8767488\"]\n  15 -> 28 [size =\"8767488\"]\n  15 -> 29 [size =\"8767488\"]\n  15 -> 30 [size =\"8767488\"]\n  15 -> 33 [size =\"8767488\"]\n  16 [size=\"42135552\", alpha=\"0.00\", expect_size=\"21067776\"] \n  16 -> 36 [size =\"21067776\"]\n  16 -> 40 [size =\"21067776\"]\n  16 -> 42 [size =\"21067776\"]\n  17 [size=\"87568384\", alpha=\"0.16\", expect_size=\"43784192\"] \n  17 -> 35 [size =\"43784192\"]\n  17 -> 38 [size =\"43784192\"]\n  18 [size=\"80654336\", alpha=\"0.17\", expect_size=\"40327168\"] \n  18 -> 35 [size =\"40327168\"]\n  18 -> 36 [size =\"40327168\"]\n  18 -> 41 [size =\"40327168\"]\n  18 -> 43 [size =\"40327168\"]\n  18 -> 44 [size =\"40327168\"]\n  19 [size=\"34725888\", alpha=\"0.08\", expect_size=\"17362944\"] \n  19 -> 36 [size =\"17362944\"]\n  19 -> 42 [size =\"17362944\"]\n  19 -> 43 [size =\"17362944\"]\n  19 -> 44 [size =\"17362944\"]\n  19 -> 44 [size =\"17362944\"]\n  20 [size=\"71788544\", alpha=\"0.13\", expect_size=\"35894272\"] \n  20 -> 35 [size =\"35894272\"]\n  20 -> 36 [size =\"35894272\"]\n  20 -> 43 [size =\"35894272\"]\n  20 -> 44 [size =\"35894272\"]\n  21 [size=\"41525248\", alpha=\"0.17\", expect_size=\"20762624\"] \n  21 -> 35 [size =\"20762624\"]\n  21 -> 36 [size =\"20762624\"]\n  21 -> 43 [size =\"20762624\"]\n  22 [size=\"104597504\", alpha=\"0.09\", expect_size=\"52298752\"] \n  22 -> 35 [size =\"52298752\"]\n  22 -> 36 [size =\"52298752\"]\n  22 -> 37 [size =\"52298752\"]\n  22 -> 41 [size =\"52298752\"]\n  22 -> 42 [size =\"52298752\"]\n  22 -> 43 [size =\"52298752\"]\n  22 -> 44 [size =\"52298752\"]\n  23 [size=\"34660352\", alpha=\"0.11\", expect_size=\"17330176\"] \n  23 -> 35 [size =\"17330176\"]\n  23 -> 36 [size =\"17330176\"]\n  23 -> 42 [size =\"17330176\"]\n  23 -> 43 [size =\"17330176\"]\n  24 [size=\"34025472\", alpha=\"0.09\", expect_size=\"17012736\"] \n  24 -> 35 [size =\"17012736\"]\n  24 -> 37 [size =\"17012736\"]\n  24 -> 38 [size =\"17012736\"]\n  24 -> 41 [size =\"17012736\"]\n  24 -> 42 [size =\"17012736\"]\n  24 -> 43 [size =\"17012736\"]\n  25 [size=\"53604352\", alpha=\"0.09\", expect_size=\"26802176\"] \n  25 -> 35 [size =\"26802176\"]\n  25 -> 37 [size =\"26802176\"]\n  25 -> 41 [size =\"26802176\"]\n  25 -> 42 [size =\"26802176\"]\n  25 -> 43 [size =\"26802176\"]\n  25 -> 43 [size =\"26802176\"]\n  26 [size=\"71929856\", alpha=\"0.02\", expect_size=\"35964928\"] \n  26 -> 37 [size =\"35964928\"]\n  26 -> 43 [size =\"35964928\"]\n  26 -> 44 [size =\"35964928\"]\n  27 [size=\"72628224\", alpha=\"0.00\", expect_size=\"36314112\"] \n  27 -> 37 [size =\"36314112\"]\n  27 -> 42 [size =\"36314112\"]\n  27 -> 43 [size =\"36314112\"]\n  28 [size=\"53684224\", alpha=\"0.08\", expect_size=\"26842112\"] \n  28 -> 35 [size =\"26842112\"]\n  28 -> 38 [size =\"26842112\"]\n  28 -> 40 [size =\"26842112\"]\n  29 [size=\"37267456\", alpha=\"0.08\", expect_size=\"18633728\"] \n  29 -> 36 [size =\"18633728\"]\n  29 -> 41 [size =\"18633728\"]\n  29 -> 42 [size =\"18633728\"]\n  30 [size=\"72667136\", alpha=\"0.09\", expect_size=\"36333568\"] \n  30 -> 36 [size =\"36333568\"]\n  30 -> 37 [size =\"36333568\"]\n  30 -> 39 [size =\"36333568\"]\n  30 -> 42 [size =\"36333568\"]\n  31 [size=\"40409088\", alpha=\"0.02\", expect_size=\"20204544\"] \n  31 -> 35 [size =\"20204544\"]\n  31 -> 36 [size =\"20204544\"]\n  31 -> 42 [size =\"20204544\"]\n  31 -> 43 [size =\"20204544\"]\n  31 -> 44 [size =\"20204544\"]\n  32 [size=\"26157056\", alpha=\"0.10\", expect_size=\"13078528\"] \n  32 -> 41 [size =\"13078528\"]\n  33 [size=\"66990080\", alpha=\"0.17\", expect_size=\"33495040\"] \n  33 -> 34 [size =\"33495040\"]\n  33 -> 36 [size =\"33495040\"]\n  33 -> 37 [size =\"33495040\"]\n  33 -> 41 [size =\"33495040\"]\n  33 -> 44 [size =\"33495040\"]\n  34 [size=\"26337280\", alpha=\"0.00\", expect_size=\"13168640\"] \n  34 -> 47 [size =\"13168640\"]\n  34 -> 48 [size =\"13168640\"]\n  35 [size=\"66488320\", alpha=\"0.05\", expect_size=\"33244160\"] \n  35 -> 47 [size =\"33244160\"]\n  36 [size=\"15396864\", alpha=\"0.17\", expect_size=\"7698432\"] \n  36 -> 47 [size =\"7698432\"]\n  37 [size=\"22624256\", alpha=\"0.05\", expect_size=\"11312128\"] \n  37 -> 48 [size =\"11312128\"]\n  38 [size=\"23070720\", alpha=\"0.07\", expect_size=\"11535360\"] \n  38 -> 48 [size =\"11535360\"]\n  39 [size=\"62693376\", alpha=\"0.15\", expect_size=\"31346688\"] \n  39 -> 45 [size =\"31346688\"]\n  39 -> 47 [size =\"31346688\"]\n  39 -> 48 [size =\"31346688\"]\n  40 [size=\"98971648\", alpha=\"0.16\", expect_size=\"49485824\"] \n  40 -> 48 [size =\"49485824\"]\n  40 -> 50 [size =\"49485824\"]\n  41 [size=\"47009792\", alpha=\"0.04\", expect_size=\"23504896\"] \n  41 -> 46 [size =\"23504896\"]\n  41 -> 47 [size =\"23504896\"]\n  41 -> 48 [size =\"23504896\"]\n  41 -> 49 [size =\"23504896\"]\n  42 [size=\"56516608\", alpha=\"0.11\", expect_size=\"28258304\"] \n  42 -> 47 [size =\"28258304\"]\n  42 -> 48 [size =\"28258304\"]\n  43 [size=\"104507392\", alpha=\"0.04\", expect_size=\"52253696\"] \n  43 -> 48 [size =\"52253696\"]\n  44 [size=\"89726976\", alpha=\"0.01\", expect_size=\"44863488\"] \n  44 -> 46 [size =\"44863488\"]\n  45 [size=\"90800128\", alpha=\"0.08\", expect_size=\"45400064\"] \n  46 [size=\"20404224\", alpha=\"0.07\", expect_size=\"10202112\"] \n  47 [size=\"98938880\", alpha=\"0.00\", expect_size=\"49469440\"] \n  48 [size=\"25995264\", alpha=\"0.02\", expect_size=\"12997632\"] \n  49 [size=\"60491776\", alpha=\"0.10\", expect_size=\"30245888\"] \n  50 [size=\"37924864\", alpha=\"0.11\", expect_size=\"18962432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.992.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"171591680\", alpha=\"0.07\", expect_size=\"51477504\"] \n  1 -> 15 [size =\"51477504\"]\n  2 [size=\"28190720\", alpha=\"0.04\", expect_size=\"8457216\"] \n  3 [size=\"146257920\", alpha=\"0.03\", expect_size=\"43877376\"] \n  3 -> 9 [size =\"43877376\"]\n  3 -> 10 [size =\"43877376\"]\n  4 [size=\"101594453\", alpha=\"0.13\", expect_size=\"30478336\"] \n  4 -> 14 [size =\"30478336\"]\n  4 -> 15 [size =\"30478336\"]\n  5 [size=\"80715093\", alpha=\"0.02\", expect_size=\"24214528\"] \n  5 -> 11 [size =\"24214528\"]\n  5 -> 15 [size =\"24214528\"]\n  6 [size=\"128853333\", alpha=\"0.08\", expect_size=\"38656000\"] \n  6 -> 9 [size =\"38656000\"]\n  6 -> 10 [size =\"38656000\"]\n  7 [size=\"164724053\", alpha=\"0.18\", expect_size=\"49417216\"] \n  7 -> 9 [size =\"49417216\"]\n  7 -> 14 [size =\"49417216\"]\n  8 [size=\"131225600\", alpha=\"0.12\", expect_size=\"39367680\"] \n  8 -> 10 [size =\"39367680\"]\n  8 -> 12 [size =\"39367680\"]\n  8 -> 13 [size =\"39367680\"]\n  8 -> 14 [size =\"39367680\"]\n  9 [size=\"94300160\", alpha=\"0.10\", expect_size=\"28290048\"] \n  9 -> 16 [size =\"28290048\"]\n  9 -> 18 [size =\"28290048\"]\n  9 -> 22 [size =\"28290048\"]\n  10 [size=\"113677653\", alpha=\"0.19\", expect_size=\"34103296\"] \n  10 -> 18 [size =\"34103296\"]\n  10 -> 19 [size =\"34103296\"]\n  10 -> 22 [size =\"34103296\"]\n  10 -> 23 [size =\"34103296\"]\n  11 [size=\"96136533\", alpha=\"0.02\", expect_size=\"28840960\"] \n  11 -> 19 [size =\"28840960\"]\n  11 -> 22 [size =\"28840960\"]\n  12 [size=\"148927147\", alpha=\"0.04\", expect_size=\"44678144\"] \n  12 -> 21 [size =\"44678144\"]\n  13 [size=\"23640747\", alpha=\"0.17\", expect_size=\"7092224\"] \n  13 -> 16 [size =\"7092224\"]\n  14 [size=\"47953920\", alpha=\"0.18\", expect_size=\"14386176\"] \n  15 [size=\"148572160\", alpha=\"0.17\", expect_size=\"44571648\"] \n  15 -> 17 [size =\"44571648\"]\n  15 -> 19 [size =\"44571648\"]\n  15 -> 20 [size =\"44571648\"]\n  15 -> 22 [size =\"44571648\"]\n  15 -> 23 [size =\"44571648\"]\n  16 [size=\"161327787\", alpha=\"0.17\", expect_size=\"48398336\"] \n  16 -> 24 [size =\"48398336\"]\n  17 [size=\"63105707\", alpha=\"0.06\", expect_size=\"18931712\"] \n  17 -> 25 [size =\"18931712\"]\n  18 [size=\"46110720\", alpha=\"0.19\", expect_size=\"13833216\"] \n  18 -> 25 [size =\"13833216\"]\n  18 -> 28 [size =\"13833216\"]\n  19 [size=\"142069760\", alpha=\"0.04\", expect_size=\"42620928\"] \n  20 [size=\"63300267\", alpha=\"0.04\", expect_size=\"18990080\"] \n  20 -> 24 [size =\"18990080\"]\n  21 [size=\"51756373\", alpha=\"0.03\", expect_size=\"15526912\"] \n  21 -> 26 [size =\"15526912\"]\n  21 -> 27 [size =\"15526912\"]\n  21 -> 28 [size =\"15526912\"]\n  22 [size=\"71314773\", alpha=\"0.04\", expect_size=\"21394432\"] \n  22 -> 26 [size =\"21394432\"]\n  23 [size=\"99321173\", alpha=\"0.01\", expect_size=\"29796352\"] \n  23 -> 28 [size =\"29796352\"]\n  24 [size=\"78912853\", alpha=\"0.09\", expect_size=\"23673856\"] \n  24 -> 31 [size =\"23673856\"]\n  24 -> 32 [size =\"23673856\"]\n  24 -> 33 [size =\"23673856\"]\n  24 -> 34 [size =\"23673856\"]\n  25 [size=\"59944960\", alpha=\"0.05\", expect_size=\"17983488\"] \n  26 [size=\"33242453\", alpha=\"0.15\", expect_size=\"9972736\"] \n  26 -> 30 [size =\"9972736\"]\n  26 -> 32 [size =\"9972736\"]\n  26 -> 35 [size =\"9972736\"]\n  27 [size=\"167871147\", alpha=\"0.04\", expect_size=\"50361344\"] \n  27 -> 29 [size =\"50361344\"]\n  27 -> 36 [size =\"50361344\"]\n  28 [size=\"56572587\", alpha=\"0.08\", expect_size=\"16971776\"] \n  28 -> 30 [size =\"16971776\"]\n  28 -> 32 [size =\"16971776\"]\n  28 -> 34 [size =\"16971776\"]\n  28 -> 35 [size =\"16971776\"]\n  29 [size=\"49882453\", alpha=\"0.01\", expect_size=\"14964736\"] \n  29 -> 37 [size =\"14964736\"]\n  29 -> 41 [size =\"14964736\"]\n  30 [size=\"78288213\", alpha=\"0.06\", expect_size=\"23486464\"] \n  30 -> 37 [size =\"23486464\"]\n  30 -> 40 [size =\"23486464\"]\n  30 -> 41 [size =\"23486464\"]\n  30 -> 42 [size =\"23486464\"]\n  31 [size=\"106123947\", alpha=\"0.01\", expect_size=\"31837184\"] \n  31 -> 40 [size =\"31837184\"]\n  31 -> 41 [size =\"31837184\"]\n  32 [size=\"130222080\", alpha=\"0.13\", expect_size=\"39066624\"] \n  32 -> 38 [size =\"39066624\"]\n  32 -> 39 [size =\"39066624\"]\n  32 -> 42 [size =\"39066624\"]\n  33 [size=\"161297067\", alpha=\"0.06\", expect_size=\"48389120\"] \n  33 -> 37 [size =\"48389120\"]\n  33 -> 39 [size =\"48389120\"]\n  33 -> 40 [size =\"48389120\"]\n  33 -> 41 [size =\"48389120\"]\n  33 -> 42 [size =\"48389120\"]\n  34 [size=\"170844160\", alpha=\"0.03\", expect_size=\"51253248\"] \n  35 [size=\"85705387\", alpha=\"0.16\", expect_size=\"25711616\"] \n  35 -> 37 [size =\"25711616\"]\n  36 [size=\"126402560\", alpha=\"0.08\", expect_size=\"37920768\"] \n  36 -> 39 [size =\"37920768\"]\n  36 -> 40 [size =\"37920768\"]\n  37 [size=\"89743360\", alpha=\"0.06\", expect_size=\"26923008\"] \n  37 -> 43 [size =\"26923008\"]\n  37 -> 45 [size =\"26923008\"]\n  37 -> 46 [size =\"26923008\"]\n  38 [size=\"122975573\", alpha=\"0.07\", expect_size=\"36892672\"] \n  39 [size=\"25279147\", alpha=\"0.04\", expect_size=\"7583744\"] \n  39 -> 46 [size =\"7583744\"]\n  39 -> 48 [size =\"7583744\"]\n  40 [size=\"30767787\", alpha=\"0.07\", expect_size=\"9230336\"] \n  40 -> 44 [size =\"9230336\"]\n  40 -> 45 [size =\"9230336\"]\n  40 -> 46 [size =\"9230336\"]\n  41 [size=\"78353067\", alpha=\"0.14\", expect_size=\"23505920\"] \n  41 -> 47 [size =\"23505920\"]\n  41 -> 49 [size =\"23505920\"]\n  41 -> 50 [size =\"23505920\"]\n  42 [size=\"89408853\", alpha=\"0.08\", expect_size=\"26822656\"] \n  42 -> 44 [size =\"26822656\"]\n  42 -> 45 [size =\"26822656\"]\n  42 -> 50 [size =\"26822656\"]\n  43 [size=\"38106453\", alpha=\"0.12\", expect_size=\"11431936\"] \n  44 [size=\"87893333\", alpha=\"0.04\", expect_size=\"26368000\"] \n  45 [size=\"111970987\", alpha=\"0.02\", expect_size=\"33591296\"] \n  46 [size=\"84145493\", alpha=\"0.02\", expect_size=\"25243648\"] \n  47 [size=\"148275200\", alpha=\"0.00\", expect_size=\"44482560\"] \n  48 [size=\"35416747\", alpha=\"0.04\", expect_size=\"10625024\"] \n  49 [size=\"88780800\", alpha=\"0.12\", expect_size=\"26634240\"] \n  50 [size=\"118391467\", alpha=\"0.08\", expect_size=\"35517440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.993.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101393067\", alpha=\"0.01\", expect_size=\"30417920\"] \n  1 -> 2 [size =\"30417920\"]\n  2 [size=\"40960000\", alpha=\"0.08\", expect_size=\"12288000\"] \n  2 -> 3 [size =\"12288000\"]\n  3 [size=\"103427413\", alpha=\"0.14\", expect_size=\"31028224\"] \n  3 -> 4 [size =\"31028224\"]\n  4 [size=\"168072533\", alpha=\"0.01\", expect_size=\"50421760\"] \n  4 -> 5 [size =\"50421760\"]\n  5 [size=\"151299413\", alpha=\"0.08\", expect_size=\"45389824\"] \n  5 -> 6 [size =\"45389824\"]\n  6 [size=\"97389227\", alpha=\"0.12\", expect_size=\"29216768\"] \n  6 -> 7 [size =\"29216768\"]\n  7 [size=\"60951893\", alpha=\"0.12\", expect_size=\"18285568\"] \n  7 -> 8 [size =\"18285568\"]\n  8 [size=\"25405440\", alpha=\"0.00\", expect_size=\"7621632\"] \n  8 -> 9 [size =\"7621632\"]\n  9 [size=\"148237653\", alpha=\"0.02\", expect_size=\"44471296\"] \n  9 -> 10 [size =\"44471296\"]\n  10 [size=\"46919680\", alpha=\"0.04\", expect_size=\"14075904\"] \n  10 -> 11 [size =\"14075904\"]\n  11 [size=\"107226453\", alpha=\"0.18\", expect_size=\"32167936\"] \n  11 -> 12 [size =\"32167936\"]\n  12 [size=\"118988800\", alpha=\"0.08\", expect_size=\"35696640\"] \n  12 -> 13 [size =\"35696640\"]\n  13 [size=\"26466987\", alpha=\"0.05\", expect_size=\"7940096\"] \n  13 -> 14 [size =\"7940096\"]\n  14 [size=\"136181760\", alpha=\"0.18\", expect_size=\"40854528\"] \n  14 -> 15 [size =\"40854528\"]\n  15 [size=\"142974293\", alpha=\"0.14\", expect_size=\"42892288\"] \n  15 -> 16 [size =\"42892288\"]\n  16 [size=\"46069760\", alpha=\"0.17\", expect_size=\"13820928\"] \n  16 -> 17 [size =\"13820928\"]\n  17 [size=\"139591680\", alpha=\"0.08\", expect_size=\"41877504\"] \n  17 -> 18 [size =\"41877504\"]\n  18 [size=\"79056213\", alpha=\"0.09\", expect_size=\"23716864\"] \n  18 -> 19 [size =\"23716864\"]\n  19 [size=\"81336320\", alpha=\"0.17\", expect_size=\"24400896\"] \n  19 -> 20 [size =\"24400896\"]\n  20 [size=\"95634773\", alpha=\"0.12\", expect_size=\"28690432\"] \n  20 -> 21 [size =\"28690432\"]\n  21 [size=\"128194560\", alpha=\"0.17\", expect_size=\"38458368\"] \n  21 -> 22 [size =\"38458368\"]\n  22 [size=\"115773440\", alpha=\"0.06\", expect_size=\"34732032\"] \n  22 -> 23 [size =\"34732032\"]\n  23 [size=\"22330027\", alpha=\"0.05\", expect_size=\"6699008\"] \n  23 -> 24 [size =\"6699008\"]\n  24 [size=\"61678933\", alpha=\"0.03\", expect_size=\"18503680\"] \n  24 -> 25 [size =\"18503680\"]\n  25 [size=\"44571307\", alpha=\"0.19\", expect_size=\"13371392\"] \n  25 -> 26 [size =\"13371392\"]\n  26 [size=\"156883627\", alpha=\"0.05\", expect_size=\"47065088\"] \n  26 -> 27 [size =\"47065088\"]\n  27 [size=\"134980267\", alpha=\"0.16\", expect_size=\"40494080\"] \n  27 -> 28 [size =\"40494080\"]\n  28 [size=\"40949760\", alpha=\"0.08\", expect_size=\"12284928\"] \n  28 -> 29 [size =\"12284928\"]\n  29 [size=\"108028587\", alpha=\"0.17\", expect_size=\"32408576\"] \n  29 -> 30 [size =\"32408576\"]\n  30 [size=\"85592747\", alpha=\"0.09\", expect_size=\"25677824\"] \n  30 -> 31 [size =\"25677824\"]\n  31 [size=\"21773653\", alpha=\"0.13\", expect_size=\"6532096\"] \n  31 -> 32 [size =\"6532096\"]\n  32 [size=\"157777920\", alpha=\"0.10\", expect_size=\"47333376\"] \n  32 -> 33 [size =\"47333376\"]\n  33 [size=\"45226667\", alpha=\"0.08\", expect_size=\"13568000\"] \n  33 -> 34 [size =\"13568000\"]\n  34 [size=\"84650667\", alpha=\"0.01\", expect_size=\"25395200\"] \n  34 -> 35 [size =\"25395200\"]\n  35 [size=\"112073387\", alpha=\"0.10\", expect_size=\"33622016\"] \n  35 -> 36 [size =\"33622016\"]\n  36 [size=\"104031573\", alpha=\"0.03\", expect_size=\"31209472\"] \n  36 -> 37 [size =\"31209472\"]\n  37 [size=\"140441600\", alpha=\"0.11\", expect_size=\"42132480\"] \n  37 -> 38 [size =\"42132480\"]\n  38 [size=\"107496107\", alpha=\"0.07\", expect_size=\"32248832\"] \n  38 -> 39 [size =\"32248832\"]\n  39 [size=\"170410667\", alpha=\"0.12\", expect_size=\"51123200\"] \n  39 -> 40 [size =\"51123200\"]\n  40 [size=\"145377280\", alpha=\"0.06\", expect_size=\"43613184\"] \n  40 -> 41 [size =\"43613184\"]\n  41 [size=\"61842773\", alpha=\"0.14\", expect_size=\"18552832\"] \n  41 -> 42 [size =\"18552832\"]\n  42 [size=\"166840320\", alpha=\"0.15\", expect_size=\"50052096\"] \n  42 -> 43 [size =\"50052096\"]\n  43 [size=\"90026667\", alpha=\"0.16\", expect_size=\"27008000\"] \n  43 -> 44 [size =\"27008000\"]\n  44 [size=\"154968747\", alpha=\"0.03\", expect_size=\"46490624\"] \n  44 -> 45 [size =\"46490624\"]\n  45 [size=\"165802667\", alpha=\"0.13\", expect_size=\"49740800\"] \n  45 -> 46 [size =\"49740800\"]\n  46 [size=\"90740053\", alpha=\"0.02\", expect_size=\"27222016\"] \n  46 -> 47 [size =\"27222016\"]\n  47 [size=\"115657387\", alpha=\"0.05\", expect_size=\"34697216\"] \n  47 -> 48 [size =\"34697216\"]\n  48 [size=\"48107520\", alpha=\"0.11\", expect_size=\"14432256\"] \n  48 -> 49 [size =\"14432256\"]\n  49 [size=\"106953387\", alpha=\"0.08\", expect_size=\"32086016\"] \n  49 -> 50 [size =\"32086016\"]\n  50 [size=\"41482240\", alpha=\"0.14\", expect_size=\"12444672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.994.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19954347\", alpha=\"0.06\", expect_size=\"5986304\"] \n  1 -> 3 [size =\"5986304\"]\n  1 -> 5 [size =\"5986304\"]\n  2 [size=\"150961493\", alpha=\"0.03\", expect_size=\"45288448\"] \n  2 -> 4 [size =\"45288448\"]\n  3 [size=\"109820587\", alpha=\"0.11\", expect_size=\"32946176\"] \n  3 -> 7 [size =\"32946176\"]\n  4 [size=\"140765867\", alpha=\"0.13\", expect_size=\"42229760\"] \n  5 [size=\"125214720\", alpha=\"0.19\", expect_size=\"37564416\"] \n  5 -> 6 [size =\"37564416\"]\n  6 [size=\"19742720\", alpha=\"0.08\", expect_size=\"5922816\"] \n  7 [size=\"46554453\", alpha=\"0.02\", expect_size=\"13966336\"] \n  7 -> 8 [size =\"13966336\"]\n  7 -> 9 [size =\"13966336\"]\n  7 -> 10 [size =\"13966336\"]\n  8 [size=\"94361600\", alpha=\"0.05\", expect_size=\"28308480\"] \n  9 [size=\"171018240\", alpha=\"0.06\", expect_size=\"51305472\"] \n  9 -> 11 [size =\"51305472\"]\n  9 -> 13 [size =\"51305472\"]\n  10 [size=\"77561173\", alpha=\"0.01\", expect_size=\"23268352\"] \n  10 -> 11 [size =\"23268352\"]\n  10 -> 12 [size =\"23268352\"]\n  10 -> 13 [size =\"23268352\"]\n  11 [size=\"44533760\", alpha=\"0.01\", expect_size=\"13360128\"] \n  12 [size=\"89268907\", alpha=\"0.06\", expect_size=\"26780672\"] \n  12 -> 15 [size =\"26780672\"]\n  13 [size=\"114865493\", alpha=\"0.14\", expect_size=\"34459648\"] \n  13 -> 14 [size =\"34459648\"]\n  14 [size=\"45810347\", alpha=\"0.17\", expect_size=\"13743104\"] \n  15 [size=\"149340160\", alpha=\"0.10\", expect_size=\"44802048\"] \n  15 -> 16 [size =\"44802048\"]\n  15 -> 17 [size =\"44802048\"]\n  16 [size=\"144025600\", alpha=\"0.05\", expect_size=\"43207680\"] \n  17 [size=\"46964053\", alpha=\"0.03\", expect_size=\"14089216\"] \n  17 -> 18 [size =\"14089216\"]\n  17 -> 19 [size =\"14089216\"]\n  18 [size=\"59682133\", alpha=\"0.12\", expect_size=\"17904640\"] \n  18 -> 21 [size =\"17904640\"]\n  19 [size=\"96771413\", alpha=\"0.05\", expect_size=\"29031424\"] \n  19 -> 20 [size =\"29031424\"]\n  20 [size=\"143650133\", alpha=\"0.10\", expect_size=\"43095040\"] \n  20 -> 23 [size =\"43095040\"]\n  21 [size=\"148981760\", alpha=\"0.15\", expect_size=\"44694528\"] \n  21 -> 22 [size =\"44694528\"]\n  22 [size=\"155163307\", alpha=\"0.17\", expect_size=\"46548992\"] \n  22 -> 24 [size =\"46548992\"]\n  23 [size=\"46564693\", alpha=\"0.10\", expect_size=\"13969408\"] \n  23 -> 25 [size =\"13969408\"]\n  24 [size=\"160471040\", alpha=\"0.19\", expect_size=\"48141312\"] \n  24 -> 27 [size =\"48141312\"]\n  24 -> 28 [size =\"48141312\"]\n  25 [size=\"136645973\", alpha=\"0.02\", expect_size=\"40993792\"] \n  25 -> 26 [size =\"40993792\"]\n  26 [size=\"55074133\", alpha=\"0.06\", expect_size=\"16522240\"] \n  26 -> 29 [size =\"16522240\"]\n  26 -> 30 [size =\"16522240\"]\n  27 [size=\"98044587\", alpha=\"0.12\", expect_size=\"29413376\"] \n  28 [size=\"124740267\", alpha=\"0.09\", expect_size=\"37422080\"] \n  29 [size=\"60323840\", alpha=\"0.05\", expect_size=\"18097152\"] \n  29 -> 31 [size =\"18097152\"]\n  30 [size=\"102833493\", alpha=\"0.09\", expect_size=\"30850048\"] \n  30 -> 32 [size =\"30850048\"]\n  30 -> 33 [size =\"30850048\"]\n  31 [size=\"23681707\", alpha=\"0.17\", expect_size=\"7104512\"] \n  31 -> 34 [size =\"7104512\"]\n  32 [size=\"139915947\", alpha=\"0.13\", expect_size=\"41974784\"] \n  32 -> 35 [size =\"41974784\"]\n  33 [size=\"113169067\", alpha=\"0.02\", expect_size=\"33950720\"] \n  33 -> 34 [size =\"33950720\"]\n  34 [size=\"35785387\", alpha=\"0.14\", expect_size=\"10735616\"] \n  34 -> 36 [size =\"10735616\"]\n  35 [size=\"31054507\", alpha=\"0.03\", expect_size=\"9316352\"] \n  35 -> 37 [size =\"9316352\"]\n  36 [size=\"49435307\", alpha=\"0.09\", expect_size=\"14830592\"] \n  36 -> 38 [size =\"14830592\"]\n  37 [size=\"93190827\", alpha=\"0.18\", expect_size=\"27957248\"] \n  37 -> 39 [size =\"27957248\"]\n  38 [size=\"34119680\", alpha=\"0.12\", expect_size=\"10235904\"] \n  38 -> 40 [size =\"10235904\"]\n  38 -> 41 [size =\"10235904\"]\n  39 [size=\"106393600\", alpha=\"0.17\", expect_size=\"31918080\"] \n  40 [size=\"148981760\", alpha=\"0.17\", expect_size=\"44694528\"] \n  40 -> 42 [size =\"44694528\"]\n  40 -> 43 [size =\"44694528\"]\n  41 [size=\"64686080\", alpha=\"0.14\", expect_size=\"19405824\"] \n  42 [size=\"37850453\", alpha=\"0.09\", expect_size=\"11355136\"] \n  42 -> 45 [size =\"11355136\"]\n  42 -> 46 [size =\"11355136\"]\n  43 [size=\"140267520\", alpha=\"0.08\", expect_size=\"42080256\"] \n  43 -> 44 [size =\"42080256\"]\n  44 [size=\"154757120\", alpha=\"0.04\", expect_size=\"46427136\"] \n  45 [size=\"109656747\", alpha=\"0.16\", expect_size=\"32897024\"] \n  45 -> 48 [size =\"32897024\"]\n  46 [size=\"136830293\", alpha=\"0.13\", expect_size=\"41049088\"] \n  46 -> 47 [size =\"41049088\"]\n  46 -> 49 [size =\"41049088\"]\n  47 [size=\"48250880\", alpha=\"0.19\", expect_size=\"14475264\"] \n  48 [size=\"30696107\", alpha=\"0.20\", expect_size=\"9208832\"] \n  49 [size=\"126375253\", alpha=\"0.06\", expect_size=\"37912576\"] \n  49 -> 50 [size =\"37912576\"]\n  50 [size=\"100007253\", alpha=\"0.03\", expect_size=\"30002176\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.995.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"161819307\", alpha=\"0.15\", expect_size=\"48545792\"] \n  1 -> 5 [size =\"48545792\"]\n  2 [size=\"59347627\", alpha=\"0.04\", expect_size=\"17804288\"] \n  2 -> 3 [size =\"17804288\"]\n  2 -> 4 [size =\"17804288\"]\n  3 [size=\"108738560\", alpha=\"0.11\", expect_size=\"32621568\"] \n  3 -> 7 [size =\"32621568\"]\n  4 [size=\"147070293\", alpha=\"0.02\", expect_size=\"44121088\"] \n  4 -> 6 [size =\"44121088\"]\n  5 [size=\"101085867\", alpha=\"0.20\", expect_size=\"30325760\"] \n  5 -> 7 [size =\"30325760\"]\n  5 -> 8 [size =\"30325760\"]\n  6 [size=\"141274453\", alpha=\"0.05\", expect_size=\"42382336\"] \n  6 -> 10 [size =\"42382336\"]\n  7 [size=\"68061867\", alpha=\"0.07\", expect_size=\"20418560\"] \n  7 -> 9 [size =\"20418560\"]\n  8 [size=\"72734720\", alpha=\"0.00\", expect_size=\"21820416\"] \n  8 -> 9 [size =\"21820416\"]\n  9 [size=\"95924907\", alpha=\"0.13\", expect_size=\"28777472\"] \n  9 -> 11 [size =\"28777472\"]\n  9 -> 12 [size =\"28777472\"]\n  9 -> 13 [size =\"28777472\"]\n  10 [size=\"111912960\", alpha=\"0.01\", expect_size=\"33573888\"] \n  11 [size=\"95150080\", alpha=\"0.19\", expect_size=\"28545024\"] \n  12 [size=\"57835520\", alpha=\"0.16\", expect_size=\"17350656\"] \n  12 -> 15 [size =\"17350656\"]\n  13 [size=\"90511360\", alpha=\"0.12\", expect_size=\"27153408\"] \n  13 -> 14 [size =\"27153408\"]\n  14 [size=\"21886293\", alpha=\"0.16\", expect_size=\"6565888\"] \n  14 -> 17 [size =\"6565888\"]\n  15 [size=\"38205440\", alpha=\"0.02\", expect_size=\"11461632\"] \n  15 -> 16 [size =\"11461632\"]\n  16 [size=\"35925333\", alpha=\"0.08\", expect_size=\"10777600\"] \n  16 -> 18 [size =\"10777600\"]\n  16 -> 19 [size =\"10777600\"]\n  17 [size=\"73806507\", alpha=\"0.02\", expect_size=\"22141952\"] \n  18 [size=\"132362240\", alpha=\"0.08\", expect_size=\"39708672\"] \n  18 -> 20 [size =\"39708672\"]\n  18 -> 21 [size =\"39708672\"]\n  18 -> 22 [size =\"39708672\"]\n  19 [size=\"133884587\", alpha=\"0.02\", expect_size=\"40165376\"] \n  20 [size=\"77868373\", alpha=\"0.12\", expect_size=\"23360512\"] \n  20 -> 24 [size =\"23360512\"]\n  21 [size=\"82394453\", alpha=\"0.01\", expect_size=\"24718336\"] \n  21 -> 24 [size =\"24718336\"]\n  22 [size=\"77373440\", alpha=\"0.15\", expect_size=\"23212032\"] \n  22 -> 23 [size =\"23212032\"]\n  23 [size=\"45492907\", alpha=\"0.01\", expect_size=\"13647872\"] \n  23 -> 25 [size =\"13647872\"]\n  23 -> 26 [size =\"13647872\"]\n  24 [size=\"139277653\", alpha=\"0.03\", expect_size=\"41783296\"] \n  25 [size=\"110100480\", alpha=\"0.16\", expect_size=\"33030144\"] \n  25 -> 27 [size =\"33030144\"]\n  25 -> 28 [size =\"33030144\"]\n  26 [size=\"122832213\", alpha=\"0.05\", expect_size=\"36849664\"] \n  27 [size=\"29573120\", alpha=\"0.20\", expect_size=\"8871936\"] \n  28 [size=\"42601813\", alpha=\"0.02\", expect_size=\"12780544\"] \n  28 -> 29 [size =\"12780544\"]\n  28 -> 30 [size =\"12780544\"]\n  28 -> 31 [size =\"12780544\"]\n  29 [size=\"101864107\", alpha=\"0.14\", expect_size=\"30559232\"] \n  29 -> 34 [size =\"30559232\"]\n  30 [size=\"116196693\", alpha=\"0.18\", expect_size=\"34859008\"] \n  30 -> 32 [size =\"34859008\"]\n  31 [size=\"55490560\", alpha=\"0.12\", expect_size=\"16647168\"] \n  31 -> 32 [size =\"16647168\"]\n  31 -> 33 [size =\"16647168\"]\n  31 -> 34 [size =\"16647168\"]\n  32 [size=\"64085333\", alpha=\"0.11\", expect_size=\"19225600\"] \n  33 [size=\"26572800\", alpha=\"0.19\", expect_size=\"7971840\"] \n  33 -> 35 [size =\"7971840\"]\n  34 [size=\"34211840\", alpha=\"0.08\", expect_size=\"10263552\"] \n  34 -> 36 [size =\"10263552\"]\n  35 [size=\"59316907\", alpha=\"0.20\", expect_size=\"17795072\"] \n  35 -> 38 [size =\"17795072\"]\n  36 [size=\"28207787\", alpha=\"0.13\", expect_size=\"8462336\"] \n  36 -> 37 [size =\"8462336\"]\n  37 [size=\"64686080\", alpha=\"0.14\", expect_size=\"19405824\"] \n  37 -> 39 [size =\"19405824\"]\n  37 -> 40 [size =\"19405824\"]\n  38 [size=\"62050987\", alpha=\"0.10\", expect_size=\"18615296\"] \n  38 -> 41 [size =\"18615296\"]\n  39 [size=\"75564373\", alpha=\"0.01\", expect_size=\"22669312\"] \n  39 -> 43 [size =\"22669312\"]\n  40 [size=\"26391893\", alpha=\"0.19\", expect_size=\"7917568\"] \n  40 -> 42 [size =\"7917568\"]\n  41 [size=\"166256640\", alpha=\"0.05\", expect_size=\"49876992\"] \n  42 [size=\"100980053\", alpha=\"0.19\", expect_size=\"30294016\"] \n  42 -> 46 [size =\"30294016\"]\n  43 [size=\"28207787\", alpha=\"0.17\", expect_size=\"8462336\"] \n  43 -> 44 [size =\"8462336\"]\n  43 -> 45 [size =\"8462336\"]\n  44 [size=\"20971520\", alpha=\"0.10\", expect_size=\"6291456\"] \n  45 [size=\"83691520\", alpha=\"0.14\", expect_size=\"25107456\"] \n  45 -> 48 [size =\"25107456\"]\n  46 [size=\"79803733\", alpha=\"0.13\", expect_size=\"23941120\"] \n  46 -> 47 [size =\"23941120\"]\n  47 [size=\"27760640\", alpha=\"0.12\", expect_size=\"8328192\"] \n  48 [size=\"141182293\", alpha=\"0.15\", expect_size=\"42354688\"] \n  48 -> 49 [size =\"42354688\"]\n  48 -> 50 [size =\"42354688\"]\n  49 [size=\"63095467\", alpha=\"0.09\", expect_size=\"18928640\"] \n  50 [size=\"67191467\", alpha=\"0.15\", expect_size=\"20157440\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.996.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"41458347\", alpha=\"0.19\", expect_size=\"12437504\"] \n  1 -> 2 [size =\"12437504\"]\n  2 [size=\"92566187\", alpha=\"0.03\", expect_size=\"27769856\"] \n  2 -> 3 [size =\"27769856\"]\n  3 [size=\"134048427\", alpha=\"0.12\", expect_size=\"40214528\"] \n  3 -> 4 [size =\"40214528\"]\n  4 [size=\"48325973\", alpha=\"0.13\", expect_size=\"14497792\"] \n  4 -> 5 [size =\"14497792\"]\n  5 [size=\"61709653\", alpha=\"0.19\", expect_size=\"18512896\"] \n  5 -> 6 [size =\"18512896\"]\n  6 [size=\"103621973\", alpha=\"0.10\", expect_size=\"31086592\"] \n  6 -> 7 [size =\"31086592\"]\n  7 [size=\"31242240\", alpha=\"0.03\", expect_size=\"9372672\"] \n  7 -> 8 [size =\"9372672\"]\n  8 [size=\"38918827\", alpha=\"0.03\", expect_size=\"11675648\"] \n  8 -> 9 [size =\"11675648\"]\n  9 [size=\"110919680\", alpha=\"0.16\", expect_size=\"33275904\"] \n  9 -> 10 [size =\"33275904\"]\n  10 [size=\"76858027\", alpha=\"0.00\", expect_size=\"23057408\"] \n  10 -> 11 [size =\"23057408\"]\n  11 [size=\"70874453\", alpha=\"0.16\", expect_size=\"21262336\"] \n  11 -> 12 [size =\"21262336\"]\n  12 [size=\"65952427\", alpha=\"0.11\", expect_size=\"19785728\"] \n  12 -> 13 [size =\"19785728\"]\n  13 [size=\"92890453\", alpha=\"0.18\", expect_size=\"27867136\"] \n  13 -> 14 [size =\"27867136\"]\n  14 [size=\"32413013\", alpha=\"0.08\", expect_size=\"9723904\"] \n  14 -> 15 [size =\"9723904\"]\n  15 [size=\"133017600\", alpha=\"0.09\", expect_size=\"39905280\"] \n  15 -> 16 [size =\"39905280\"]\n  16 [size=\"128443733\", alpha=\"0.15\", expect_size=\"38533120\"] \n  16 -> 17 [size =\"38533120\"]\n  17 [size=\"48629760\", alpha=\"0.13\", expect_size=\"14588928\"] \n  17 -> 18 [size =\"14588928\"]\n  18 [size=\"72485547\", alpha=\"0.17\", expect_size=\"21745664\"] \n  18 -> 19 [size =\"21745664\"]\n  19 [size=\"96832853\", alpha=\"0.20\", expect_size=\"29049856\"] \n  19 -> 20 [size =\"29049856\"]\n  20 [size=\"61822293\", alpha=\"0.02\", expect_size=\"18546688\"] \n  20 -> 21 [size =\"18546688\"]\n  21 [size=\"64484693\", alpha=\"0.07\", expect_size=\"19345408\"] \n  21 -> 22 [size =\"19345408\"]\n  22 [size=\"29689173\", alpha=\"0.01\", expect_size=\"8906752\"] \n  22 -> 23 [size =\"8906752\"]\n  23 [size=\"112564907\", alpha=\"0.11\", expect_size=\"33769472\"] \n  23 -> 24 [size =\"33769472\"]\n  24 [size=\"93668693\", alpha=\"0.04\", expect_size=\"28100608\"] \n  24 -> 25 [size =\"28100608\"]\n  25 [size=\"156177067\", alpha=\"0.03\", expect_size=\"46853120\"] \n  25 -> 26 [size =\"46853120\"]\n  26 [size=\"68164267\", alpha=\"0.13\", expect_size=\"20449280\"] \n  26 -> 27 [size =\"20449280\"]\n  27 [size=\"29197653\", alpha=\"0.05\", expect_size=\"8759296\"] \n  27 -> 28 [size =\"8759296\"]\n  28 [size=\"134662827\", alpha=\"0.19\", expect_size=\"40398848\"] \n  28 -> 29 [size =\"40398848\"]\n  29 [size=\"108892160\", alpha=\"0.06\", expect_size=\"32667648\"] \n  29 -> 30 [size =\"32667648\"]\n  30 [size=\"105533440\", alpha=\"0.20\", expect_size=\"31660032\"] \n  30 -> 31 [size =\"31660032\"]\n  31 [size=\"118381227\", alpha=\"0.00\", expect_size=\"35514368\"] \n  31 -> 32 [size =\"35514368\"]\n  32 [size=\"171417600\", alpha=\"0.07\", expect_size=\"51425280\"] \n  32 -> 33 [size =\"51425280\"]\n  33 [size=\"25159680\", alpha=\"0.04\", expect_size=\"7547904\"] \n  33 -> 34 [size =\"7547904\"]\n  34 [size=\"110752427\", alpha=\"0.02\", expect_size=\"33225728\"] \n  34 -> 35 [size =\"33225728\"]\n  35 [size=\"144476160\", alpha=\"0.15\", expect_size=\"43342848\"] \n  35 -> 36 [size =\"43342848\"]\n  36 [size=\"170560853\", alpha=\"0.02\", expect_size=\"51168256\"] \n  36 -> 37 [size =\"51168256\"]\n  37 [size=\"117872640\", alpha=\"0.13\", expect_size=\"35361792\"] \n  37 -> 38 [size =\"35361792\"]\n  38 [size=\"157463893\", alpha=\"0.11\", expect_size=\"47239168\"] \n  38 -> 39 [size =\"47239168\"]\n  39 [size=\"153490773\", alpha=\"0.20\", expect_size=\"46047232\"] \n  39 -> 40 [size =\"46047232\"]\n  40 [size=\"42117120\", alpha=\"0.13\", expect_size=\"12635136\"] \n  40 -> 41 [size =\"12635136\"]\n  41 [size=\"40011093\", alpha=\"0.13\", expect_size=\"12003328\"] \n  41 -> 42 [size =\"12003328\"]\n  42 [size=\"43281067\", alpha=\"0.15\", expect_size=\"12984320\"] \n  42 -> 43 [size =\"12984320\"]\n  43 [size=\"100413440\", alpha=\"0.08\", expect_size=\"30124032\"] \n  43 -> 44 [size =\"30124032\"]\n  44 [size=\"129532587\", alpha=\"0.11\", expect_size=\"38859776\"] \n  44 -> 45 [size =\"38859776\"]\n  45 [size=\"145578667\", alpha=\"0.12\", expect_size=\"43673600\"] \n  45 -> 46 [size =\"43673600\"]\n  46 [size=\"106806613\", alpha=\"0.19\", expect_size=\"32041984\"] \n  46 -> 47 [size =\"32041984\"]\n  47 [size=\"124187307\", alpha=\"0.08\", expect_size=\"37256192\"] \n  47 -> 48 [size =\"37256192\"]\n  48 [size=\"71587840\", alpha=\"0.11\", expect_size=\"21476352\"] \n  48 -> 49 [size =\"21476352\"]\n  49 [size=\"161303893\", alpha=\"0.07\", expect_size=\"48391168\"] \n  49 -> 50 [size =\"48391168\"]\n  50 [size=\"158119253\", alpha=\"0.13\", expect_size=\"47435776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.997.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"135598080\", alpha=\"0.13\", expect_size=\"40679424\"] \n  1 -> 9 [size =\"40679424\"]\n  1 -> 13 [size =\"40679424\"]\n  1 -> 14 [size =\"40679424\"]\n  2 [size=\"44339200\", alpha=\"0.07\", expect_size=\"13301760\"] \n  2 -> 11 [size =\"13301760\"]\n  3 [size=\"112797013\", alpha=\"0.07\", expect_size=\"33839104\"] \n  3 -> 8 [size =\"33839104\"]\n  3 -> 9 [size =\"33839104\"]\n  3 -> 10 [size =\"33839104\"]\n  3 -> 11 [size =\"33839104\"]\n  3 -> 12 [size =\"33839104\"]\n  3 -> 14 [size =\"33839104\"]\n  4 [size=\"40963413\", alpha=\"0.10\", expect_size=\"12289024\"] \n  4 -> 8 [size =\"12289024\"]\n  4 -> 10 [size =\"12289024\"]\n  4 -> 11 [size =\"12289024\"]\n  4 -> 12 [size =\"12289024\"]\n  4 -> 14 [size =\"12289024\"]\n  4 -> 14 [size =\"12289024\"]\n  5 [size=\"44458667\", alpha=\"0.15\", expect_size=\"13337600\"] \n  5 -> 8 [size =\"13337600\"]\n  5 -> 10 [size =\"13337600\"]\n  5 -> 11 [size =\"13337600\"]\n  6 [size=\"54220800\", alpha=\"0.05\", expect_size=\"16266240\"] \n  6 -> 10 [size =\"16266240\"]\n  6 -> 14 [size =\"16266240\"]\n  7 [size=\"22241280\", alpha=\"0.03\", expect_size=\"6672384\"] \n  7 -> 9 [size =\"6672384\"]\n  7 -> 10 [size =\"6672384\"]\n  7 -> 11 [size =\"6672384\"]\n  7 -> 12 [size =\"6672384\"]\n  8 [size=\"64518827\", alpha=\"0.20\", expect_size=\"19355648\"] \n  8 -> 15 [size =\"19355648\"]\n  8 -> 17 [size =\"19355648\"]\n  8 -> 18 [size =\"19355648\"]\n  8 -> 20 [size =\"19355648\"]\n  9 [size=\"172745387\", alpha=\"0.16\", expect_size=\"51823616\"] \n  9 -> 15 [size =\"51823616\"]\n  10 [size=\"111837867\", alpha=\"0.06\", expect_size=\"33551360\"] \n  10 -> 16 [size =\"33551360\"]\n  10 -> 18 [size =\"33551360\"]\n  11 [size=\"22060373\", alpha=\"0.10\", expect_size=\"6618112\"] \n  11 -> 18 [size =\"6618112\"]\n  11 -> 18 [size =\"6618112\"]\n  12 [size=\"126156800\", alpha=\"0.04\", expect_size=\"37847040\"] \n  12 -> 20 [size =\"37847040\"]\n  13 [size=\"21637120\", alpha=\"0.19\", expect_size=\"6491136\"] \n  13 -> 19 [size =\"6491136\"]\n  13 -> 20 [size =\"6491136\"]\n  14 [size=\"76656640\", alpha=\"0.01\", expect_size=\"22996992\"] \n  14 -> 17 [size =\"22996992\"]\n  15 [size=\"158354773\", alpha=\"0.13\", expect_size=\"47506432\"] \n  15 -> 21 [size =\"47506432\"]\n  15 -> 24 [size =\"47506432\"]\n  15 -> 25 [size =\"47506432\"]\n  16 [size=\"116708693\", alpha=\"0.07\", expect_size=\"35012608\"] \n  16 -> 21 [size =\"35012608\"]\n  16 -> 23 [size =\"35012608\"]\n  16 -> 25 [size =\"35012608\"]\n  16 -> 27 [size =\"35012608\"]\n  17 [size=\"152599893\", alpha=\"0.03\", expect_size=\"45779968\"] \n  17 -> 23 [size =\"45779968\"]\n  17 -> 24 [size =\"45779968\"]\n  17 -> 25 [size =\"45779968\"]\n  17 -> 26 [size =\"45779968\"]\n  17 -> 27 [size =\"45779968\"]\n  18 [size=\"18483200\", alpha=\"0.09\", expect_size=\"5544960\"] \n  18 -> 21 [size =\"5544960\"]\n  18 -> 24 [size =\"5544960\"]\n  18 -> 26 [size =\"5544960\"]\n  19 [size=\"17834667\", alpha=\"0.02\", expect_size=\"5350400\"] \n  19 -> 22 [size =\"5350400\"]\n  19 -> 26 [size =\"5350400\"]\n  19 -> 27 [size =\"5350400\"]\n  20 [size=\"146739200\", alpha=\"0.09\", expect_size=\"44021760\"] \n  20 -> 21 [size =\"44021760\"]\n  20 -> 24 [size =\"44021760\"]\n  20 -> 25 [size =\"44021760\"]\n  21 [size=\"39389867\", alpha=\"0.10\", expect_size=\"11816960\"] \n  21 -> 31 [size =\"11816960\"]\n  21 -> 32 [size =\"11816960\"]\n  22 [size=\"117858987\", alpha=\"0.15\", expect_size=\"35357696\"] \n  22 -> 30 [size =\"35357696\"]\n  22 -> 34 [size =\"35357696\"]\n  23 [size=\"151558827\", alpha=\"0.12\", expect_size=\"45467648\"] \n  23 -> 28 [size =\"45467648\"]\n  23 -> 31 [size =\"45467648\"]\n  23 -> 32 [size =\"45467648\"]\n  24 [size=\"145861973\", alpha=\"0.12\", expect_size=\"43758592\"] \n  24 -> 28 [size =\"43758592\"]\n  24 -> 29 [size =\"43758592\"]\n  24 -> 33 [size =\"43758592\"]\n  25 [size=\"151255040\", alpha=\"0.15\", expect_size=\"45376512\"] \n  25 -> 28 [size =\"45376512\"]\n  25 -> 29 [size =\"45376512\"]\n  25 -> 31 [size =\"45376512\"]\n  25 -> 32 [size =\"45376512\"]\n  25 -> 33 [size =\"45376512\"]\n  26 [size=\"97184427\", alpha=\"0.03\", expect_size=\"29155328\"] \n  26 -> 28 [size =\"29155328\"]\n  26 -> 29 [size =\"29155328\"]\n  26 -> 31 [size =\"29155328\"]\n  26 -> 32 [size =\"29155328\"]\n  27 [size=\"148466347\", alpha=\"0.11\", expect_size=\"44539904\"] \n  27 -> 29 [size =\"44539904\"]\n  27 -> 31 [size =\"44539904\"]\n  27 -> 32 [size =\"44539904\"]\n  28 [size=\"18053120\", alpha=\"0.06\", expect_size=\"5415936\"] \n  28 -> 36 [size =\"5415936\"]\n  28 -> 37 [size =\"5415936\"]\n  29 [size=\"86999040\", alpha=\"0.00\", expect_size=\"26099712\"] \n  29 -> 35 [size =\"26099712\"]\n  29 -> 38 [size =\"26099712\"]\n  30 [size=\"105905493\", alpha=\"0.07\", expect_size=\"31771648\"] \n  30 -> 37 [size =\"31771648\"]\n  30 -> 38 [size =\"31771648\"]\n  30 -> 39 [size =\"31771648\"]\n  30 -> 40 [size =\"31771648\"]\n  30 -> 41 [size =\"31771648\"]\n  31 [size=\"174530560\", alpha=\"0.13\", expect_size=\"52359168\"] \n  31 -> 37 [size =\"52359168\"]\n  31 -> 38 [size =\"52359168\"]\n  32 [size=\"96419840\", alpha=\"0.14\", expect_size=\"28925952\"] \n  32 -> 35 [size =\"28925952\"]\n  33 [size=\"55729493\", alpha=\"0.15\", expect_size=\"16718848\"] \n  33 -> 37 [size =\"16718848\"]\n  34 [size=\"147780267\", alpha=\"0.04\", expect_size=\"44334080\"] \n  34 -> 35 [size =\"44334080\"]\n  34 -> 37 [size =\"44334080\"]\n  34 -> 38 [size =\"44334080\"]\n  35 [size=\"81486507\", alpha=\"0.11\", expect_size=\"24445952\"] \n  35 -> 42 [size =\"24445952\"]\n  35 -> 43 [size =\"24445952\"]\n  35 -> 45 [size =\"24445952\"]\n  35 -> 47 [size =\"24445952\"]\n  36 [size=\"41120427\", alpha=\"0.10\", expect_size=\"12336128\"] \n  36 -> 42 [size =\"12336128\"]\n  36 -> 43 [size =\"12336128\"]\n  36 -> 44 [size =\"12336128\"]\n  36 -> 46 [size =\"12336128\"]\n  36 -> 47 [size =\"12336128\"]\n  37 [size=\"63423147\", alpha=\"0.07\", expect_size=\"19026944\"] \n  37 -> 46 [size =\"19026944\"]\n  37 -> 47 [size =\"19026944\"]\n  38 [size=\"153169920\", alpha=\"0.03\", expect_size=\"45950976\"] \n  38 -> 42 [size =\"45950976\"]\n  38 -> 47 [size =\"45950976\"]\n  39 [size=\"42823680\", alpha=\"0.20\", expect_size=\"12847104\"] \n  39 -> 43 [size =\"12847104\"]\n  39 -> 44 [size =\"12847104\"]\n  39 -> 46 [size =\"12847104\"]\n  40 [size=\"44953600\", alpha=\"0.13\", expect_size=\"13486080\"] \n  40 -> 42 [size =\"13486080\"]\n  41 [size=\"96628053\", alpha=\"0.09\", expect_size=\"28988416\"] \n  41 -> 44 [size =\"28988416\"]\n  41 -> 46 [size =\"28988416\"]\n  41 -> 47 [size =\"28988416\"]\n  42 [size=\"45148160\", alpha=\"0.17\", expect_size=\"13544448\"] \n  42 -> 48 [size =\"13544448\"]\n  42 -> 49 [size =\"13544448\"]\n  43 [size=\"156484267\", alpha=\"0.03\", expect_size=\"46945280\"] \n  43 -> 50 [size =\"46945280\"]\n  44 [size=\"120227840\", alpha=\"0.05\", expect_size=\"36068352\"] \n  44 -> 48 [size =\"36068352\"]\n  44 -> 49 [size =\"36068352\"]\n  45 [size=\"152842240\", alpha=\"0.04\", expect_size=\"45852672\"] \n  45 -> 50 [size =\"45852672\"]\n  46 [size=\"80640000\", alpha=\"0.13\", expect_size=\"24192000\"] \n  46 -> 49 [size =\"24192000\"]\n  47 [size=\"160143360\", alpha=\"0.19\", expect_size=\"48043008\"] \n  47 -> 48 [size =\"48043008\"]\n  47 -> 50 [size =\"48043008\"]\n  48 [size=\"54613333\", alpha=\"0.05\", expect_size=\"16384000\"] \n  49 [size=\"79639893\", alpha=\"0.20\", expect_size=\"23891968\"] \n  50 [size=\"78291627\", alpha=\"0.06\", expect_size=\"23487488\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.998.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"98918400\", alpha=\"0.19\", expect_size=\"39567360\"] \n  1 -> 4 [size =\"39567360\"]\n  2 [size=\"86891520\", alpha=\"0.19\", expect_size=\"34756608\"] \n  2 -> 3 [size =\"34756608\"]\n  2 -> 5 [size =\"34756608\"]\n  3 [size=\"40435200\", alpha=\"0.18\", expect_size=\"16174080\"] \n  3 -> 7 [size =\"16174080\"]\n  4 [size=\"71444480\", alpha=\"0.09\", expect_size=\"28577792\"] \n  4 -> 6 [size =\"28577792\"]\n  5 [size=\"73633280\", alpha=\"0.18\", expect_size=\"29453312\"] \n  5 -> 7 [size =\"29453312\"]\n  6 [size=\"82426880\", alpha=\"0.09\", expect_size=\"32970752\"] \n  6 -> 8 [size =\"32970752\"]\n  7 [size=\"65950720\", alpha=\"0.12\", expect_size=\"26380288\"] \n  7 -> 9 [size =\"26380288\"]\n  8 [size=\"124057600\", alpha=\"0.01\", expect_size=\"49623040\"] \n  8 -> 11 [size =\"49623040\"]\n  9 [size=\"75315200\", alpha=\"0.05\", expect_size=\"30126080\"] \n  9 -> 10 [size =\"30126080\"]\n  10 [size=\"36963840\", alpha=\"0.12\", expect_size=\"14785536\"] \n  10 -> 12 [size =\"14785536\"]\n  10 -> 13 [size =\"14785536\"]\n  11 [size=\"73843200\", alpha=\"0.15\", expect_size=\"29537280\"] \n  12 [size=\"70474240\", alpha=\"0.18\", expect_size=\"28189696\"] \n  12 -> 15 [size =\"28189696\"]\n  13 [size=\"63920640\", alpha=\"0.15\", expect_size=\"25568256\"] \n  13 -> 14 [size =\"25568256\"]\n  14 [size=\"54512640\", alpha=\"0.13\", expect_size=\"21805056\"] \n  14 -> 16 [size =\"21805056\"]\n  14 -> 17 [size =\"21805056\"]\n  15 [size=\"105607680\", alpha=\"0.20\", expect_size=\"42243072\"] \n  15 -> 18 [size =\"42243072\"]\n  16 [size=\"95260160\", alpha=\"0.11\", expect_size=\"38104064\"] \n  16 -> 19 [size =\"38104064\"]\n  16 -> 20 [size =\"38104064\"]\n  17 [size=\"27975680\", alpha=\"0.20\", expect_size=\"11190272\"] \n  17 -> 19 [size =\"11190272\"]\n  17 -> 20 [size =\"11190272\"]\n  17 -> 21 [size =\"11190272\"]\n  18 [size=\"99706880\", alpha=\"0.18\", expect_size=\"39882752\"] \n  18 -> 21 [size =\"39882752\"]\n  19 [size=\"104947200\", alpha=\"0.10\", expect_size=\"41978880\"] \n  20 [size=\"16977920\", alpha=\"0.01\", expect_size=\"6791168\"] \n  20 -> 22 [size =\"6791168\"]\n  20 -> 23 [size =\"6791168\"]\n  20 -> 24 [size =\"6791168\"]\n  21 [size=\"87014400\", alpha=\"0.07\", expect_size=\"34805760\"] \n  21 -> 22 [size =\"34805760\"]\n  22 [size=\"55193600\", alpha=\"0.05\", expect_size=\"22077440\"] \n  22 -> 25 [size =\"22077440\"]\n  23 [size=\"44817920\", alpha=\"0.08\", expect_size=\"17927168\"] \n  23 -> 25 [size =\"17927168\"]\n  23 -> 26 [size =\"17927168\"]\n  24 [size=\"13975040\", alpha=\"0.01\", expect_size=\"5590016\"] \n  24 -> 26 [size =\"5590016\"]\n  25 [size=\"88212480\", alpha=\"0.04\", expect_size=\"35284992\"] \n  26 [size=\"86182400\", alpha=\"0.19\", expect_size=\"34472960\"] \n  26 -> 27 [size =\"34472960\"]\n  26 -> 28 [size =\"34472960\"]\n  27 [size=\"33661440\", alpha=\"0.03\", expect_size=\"13464576\"] \n  27 -> 31 [size =\"13464576\"]\n  28 [size=\"30814720\", alpha=\"0.05\", expect_size=\"12325888\"] \n  28 -> 29 [size =\"12325888\"]\n  28 -> 30 [size =\"12325888\"]\n  29 [size=\"20556800\", alpha=\"0.18\", expect_size=\"8222720\"] \n  29 -> 32 [size =\"8222720\"]\n  29 -> 33 [size =\"8222720\"]\n  30 [size=\"81510400\", alpha=\"0.15\", expect_size=\"32604160\"] \n  30 -> 33 [size =\"32604160\"]\n  31 [size=\"90327040\", alpha=\"0.03\", expect_size=\"36130816\"] \n  32 [size=\"14860800\", alpha=\"0.20\", expect_size=\"5944320\"] \n  32 -> 34 [size =\"5944320\"]\n  33 [size=\"46855680\", alpha=\"0.06\", expect_size=\"18742272\"] \n  33 -> 35 [size =\"18742272\"]\n  33 -> 36 [size =\"18742272\"]\n  34 [size=\"95677440\", alpha=\"0.18\", expect_size=\"38270976\"] \n  34 -> 39 [size =\"38270976\"]\n  35 [size=\"101701120\", alpha=\"0.07\", expect_size=\"40680448\"] \n  35 -> 37 [size =\"40680448\"]\n  35 -> 38 [size =\"40680448\"]\n  35 -> 39 [size =\"40680448\"]\n  36 [size=\"125455360\", alpha=\"0.09\", expect_size=\"50182144\"] \n  37 [size=\"118297600\", alpha=\"0.14\", expect_size=\"47319040\"] \n  37 -> 41 [size =\"47319040\"]\n  38 [size=\"15104000\", alpha=\"0.14\", expect_size=\"6041600\"] \n  38 -> 40 [size =\"6041600\"]\n  39 [size=\"44792320\", alpha=\"0.09\", expect_size=\"17916928\"] \n  39 -> 41 [size =\"17916928\"]\n  40 [size=\"33646080\", alpha=\"0.05\", expect_size=\"13458432\"] \n  40 -> 42 [size =\"13458432\"]\n  40 -> 43 [size =\"13458432\"]\n  41 [size=\"123486720\", alpha=\"0.13\", expect_size=\"49394688\"] \n  41 -> 44 [size =\"49394688\"]\n  42 [size=\"21153280\", alpha=\"0.09\", expect_size=\"8461312\"] \n  42 -> 45 [size =\"8461312\"]\n  43 [size=\"19944960\", alpha=\"0.09\", expect_size=\"7977984\"] \n  43 -> 46 [size =\"7977984\"]\n  43 -> 47 [size =\"7977984\"]\n  44 [size=\"52710400\", alpha=\"0.10\", expect_size=\"21084160\"] \n  44 -> 46 [size =\"21084160\"]\n  45 [size=\"42892800\", alpha=\"0.04\", expect_size=\"17157120\"] \n  45 -> 48 [size =\"17157120\"]\n  46 [size=\"82995200\", alpha=\"0.10\", expect_size=\"33198080\"] \n  46 -> 49 [size =\"33198080\"]\n  47 [size=\"19238400\", alpha=\"0.20\", expect_size=\"7695360\"] \n  48 [size=\"102428160\", alpha=\"0.13\", expect_size=\"40971264\"] \n  48 -> 50 [size =\"40971264\"]\n  49 [size=\"65264640\", alpha=\"0.06\", expect_size=\"26105856\"] \n  50 [size=\"117557760\", alpha=\"0.12\", expect_size=\"47023104\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50/random.50.999.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:58 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"50511360\", alpha=\"0.19\", expect_size=\"20204544\"] \n  1 -> 2 [size =\"20204544\"]\n  2 [size=\"55495680\", alpha=\"0.11\", expect_size=\"22198272\"] \n  2 -> 3 [size =\"22198272\"]\n  3 [size=\"72071680\", alpha=\"0.03\", expect_size=\"28828672\"] \n  3 -> 4 [size =\"28828672\"]\n  4 [size=\"73456640\", alpha=\"0.08\", expect_size=\"29382656\"] \n  4 -> 5 [size =\"29382656\"]\n  5 [size=\"49013760\", alpha=\"0.15\", expect_size=\"19605504\"] \n  5 -> 6 [size =\"19605504\"]\n  6 [size=\"95700480\", alpha=\"0.02\", expect_size=\"38280192\"] \n  6 -> 7 [size =\"38280192\"]\n  7 [size=\"76408320\", alpha=\"0.09\", expect_size=\"30563328\"] \n  7 -> 8 [size =\"30563328\"]\n  8 [size=\"118300160\", alpha=\"0.12\", expect_size=\"47320064\"] \n  8 -> 9 [size =\"47320064\"]\n  9 [size=\"20874240\", alpha=\"0.07\", expect_size=\"8349696\"] \n  9 -> 10 [size =\"8349696\"]\n  10 [size=\"110571520\", alpha=\"0.05\", expect_size=\"44228608\"] \n  10 -> 11 [size =\"44228608\"]\n  11 [size=\"63613440\", alpha=\"0.03\", expect_size=\"25445376\"] \n  11 -> 12 [size =\"25445376\"]\n  12 [size=\"56404480\", alpha=\"0.15\", expect_size=\"22561792\"] \n  12 -> 13 [size =\"22561792\"]\n  13 [size=\"118336000\", alpha=\"0.15\", expect_size=\"47334400\"] \n  13 -> 14 [size =\"47334400\"]\n  14 [size=\"18012160\", alpha=\"0.15\", expect_size=\"7204864\"] \n  14 -> 15 [size =\"7204864\"]\n  15 [size=\"62658560\", alpha=\"0.14\", expect_size=\"25063424\"] \n  15 -> 16 [size =\"25063424\"]\n  16 [size=\"31019520\", alpha=\"0.07\", expect_size=\"12407808\"] \n  16 -> 17 [size =\"12407808\"]\n  17 [size=\"43041280\", alpha=\"0.16\", expect_size=\"17216512\"] \n  17 -> 18 [size =\"17216512\"]\n  18 [size=\"95429120\", alpha=\"0.07\", expect_size=\"38171648\"] \n  18 -> 19 [size =\"38171648\"]\n  19 [size=\"48655360\", alpha=\"0.09\", expect_size=\"19462144\"] \n  19 -> 20 [size =\"19462144\"]\n  20 [size=\"88046080\", alpha=\"0.05\", expect_size=\"35218432\"] \n  20 -> 21 [size =\"35218432\"]\n  21 [size=\"119764480\", alpha=\"0.06\", expect_size=\"47905792\"] \n  21 -> 22 [size =\"47905792\"]\n  22 [size=\"20971520\", alpha=\"0.15\", expect_size=\"8388608\"] \n  22 -> 23 [size =\"8388608\"]\n  23 [size=\"111951360\", alpha=\"0.14\", expect_size=\"44780544\"] \n  23 -> 24 [size =\"44780544\"]\n  24 [size=\"81927680\", alpha=\"0.03\", expect_size=\"32771072\"] \n  24 -> 25 [size =\"32771072\"]\n  25 [size=\"54725120\", alpha=\"0.19\", expect_size=\"21890048\"] \n  25 -> 26 [size =\"21890048\"]\n  26 [size=\"17210880\", alpha=\"0.08\", expect_size=\"6884352\"] \n  26 -> 27 [size =\"6884352\"]\n  27 [size=\"56217600\", alpha=\"0.08\", expect_size=\"22487040\"] \n  27 -> 28 [size =\"22487040\"]\n  28 [size=\"35312640\", alpha=\"0.05\", expect_size=\"14125056\"] \n  28 -> 29 [size =\"14125056\"]\n  29 [size=\"77294080\", alpha=\"0.05\", expect_size=\"30917632\"] \n  29 -> 30 [size =\"30917632\"]\n  30 [size=\"14745600\", alpha=\"0.00\", expect_size=\"5898240\"] \n  30 -> 31 [size =\"5898240\"]\n  31 [size=\"42775040\", alpha=\"0.04\", expect_size=\"17110016\"] \n  31 -> 32 [size =\"17110016\"]\n  32 [size=\"80824320\", alpha=\"0.16\", expect_size=\"32329728\"] \n  32 -> 33 [size =\"32329728\"]\n  33 [size=\"53314560\", alpha=\"0.05\", expect_size=\"21325824\"] \n  33 -> 34 [size =\"21325824\"]\n  34 [size=\"19217920\", alpha=\"0.15\", expect_size=\"7687168\"] \n  34 -> 35 [size =\"7687168\"]\n  35 [size=\"38881280\", alpha=\"0.14\", expect_size=\"15552512\"] \n  35 -> 36 [size =\"15552512\"]\n  36 [size=\"30248960\", alpha=\"0.16\", expect_size=\"12099584\"] \n  36 -> 37 [size =\"12099584\"]\n  37 [size=\"75911680\", alpha=\"0.02\", expect_size=\"30364672\"] \n  37 -> 38 [size =\"30364672\"]\n  38 [size=\"121208320\", alpha=\"0.03\", expect_size=\"48483328\"] \n  38 -> 39 [size =\"48483328\"]\n  39 [size=\"35404800\", alpha=\"0.10\", expect_size=\"14161920\"] \n  39 -> 40 [size =\"14161920\"]\n  40 [size=\"62195200\", alpha=\"0.09\", expect_size=\"24878080\"] \n  40 -> 41 [size =\"24878080\"]\n  41 [size=\"63119360\", alpha=\"0.07\", expect_size=\"25247744\"] \n  41 -> 42 [size =\"25247744\"]\n  42 [size=\"88683520\", alpha=\"0.05\", expect_size=\"35473408\"] \n  42 -> 43 [size =\"35473408\"]\n  43 [size=\"64215040\", alpha=\"0.01\", expect_size=\"25686016\"] \n  43 -> 44 [size =\"25686016\"]\n  44 [size=\"94950400\", alpha=\"0.08\", expect_size=\"37980160\"] \n  44 -> 45 [size =\"37980160\"]\n  45 [size=\"67827200\", alpha=\"0.02\", expect_size=\"27130880\"] \n  45 -> 46 [size =\"27130880\"]\n  46 [size=\"32399360\", alpha=\"0.17\", expect_size=\"12959744\"] \n  46 -> 47 [size =\"12959744\"]\n  47 [size=\"124541440\", alpha=\"0.20\", expect_size=\"49816576\"] \n  47 -> 48 [size =\"49816576\"]\n  48 [size=\"20298240\", alpha=\"0.06\", expect_size=\"8119296\"] \n  48 -> 49 [size =\"8119296\"]\n  49 [size=\"37918720\", alpha=\"0.03\", expect_size=\"15167488\"] \n  49 -> 50 [size =\"15167488\"]\n  50 [size=\"94991360\", alpha=\"0.20\", expect_size=\"37996544\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.0.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"75255808\", alpha=\"0.15\", expect_size=\"37627904\"] \n  1 -> 13 [size =\"37627904\"]\n  1 -> 14 [size =\"37627904\"]\n  1 -> 17 [size =\"37627904\"]\n  1 -> 18 [size =\"37627904\"]\n  1 -> 19 [size =\"37627904\"]\n  1 -> 26 [size =\"37627904\"]\n  2 [size=\"89700352\", alpha=\"0.02\", expect_size=\"44850176\"] \n  2 -> 13 [size =\"44850176\"]\n  2 -> 14 [size =\"44850176\"]\n  2 -> 17 [size =\"44850176\"]\n  2 -> 18 [size =\"44850176\"]\n  2 -> 19 [size =\"44850176\"]\n  2 -> 20 [size =\"44850176\"]\n  2 -> 23 [size =\"44850176\"]\n  2 -> 24 [size =\"44850176\"]\n  2 -> 26 [size =\"44850176\"]\n  2 -> 27 [size =\"44850176\"]\n  3 [size=\"21080064\", alpha=\"0.18\", expect_size=\"10540032\"] \n  3 -> 11 [size =\"10540032\"]\n  3 -> 12 [size =\"10540032\"]\n  3 -> 15 [size =\"10540032\"]\n  3 -> 18 [size =\"10540032\"]\n  3 -> 21 [size =\"10540032\"]\n  3 -> 22 [size =\"10540032\"]\n  3 -> 24 [size =\"10540032\"]\n  3 -> 26 [size =\"10540032\"]\n  4 [size=\"38643712\", alpha=\"0.19\", expect_size=\"19321856\"] \n  4 -> 11 [size =\"19321856\"]\n  4 -> 12 [size =\"19321856\"]\n  4 -> 14 [size =\"19321856\"]\n  4 -> 17 [size =\"19321856\"]\n  4 -> 18 [size =\"19321856\"]\n  4 -> 23 [size =\"19321856\"]\n  4 -> 24 [size =\"19321856\"]\n  4 -> 25 [size =\"19321856\"]\n  4 -> 26 [size =\"19321856\"]\n  4 -> 27 [size =\"19321856\"]\n  5 [size=\"82790400\", alpha=\"0.02\", expect_size=\"41395200\"] \n  5 -> 14 [size =\"41395200\"]\n  5 -> 16 [size =\"41395200\"]\n  5 -> 17 [size =\"41395200\"]\n  5 -> 18 [size =\"41395200\"]\n  5 -> 18 [size =\"41395200\"]\n  5 -> 21 [size =\"41395200\"]\n  5 -> 22 [size =\"41395200\"]\n  5 -> 23 [size =\"41395200\"]\n  5 -> 26 [size =\"41395200\"]\n  6 [size=\"57298944\", alpha=\"0.07\", expect_size=\"28649472\"] \n  6 -> 11 [size =\"28649472\"]\n  6 -> 12 [size =\"28649472\"]\n  6 -> 16 [size =\"28649472\"]\n  6 -> 21 [size =\"28649472\"]\n  6 -> 23 [size =\"28649472\"]\n  6 -> 24 [size =\"28649472\"]\n  6 -> 27 [size =\"28649472\"]\n  7 [size=\"97155072\", alpha=\"0.19\", expect_size=\"48577536\"] \n  7 -> 15 [size =\"48577536\"]\n  7 -> 16 [size =\"48577536\"]\n  7 -> 23 [size =\"48577536\"]\n  8 [size=\"44763136\", alpha=\"0.10\", expect_size=\"22381568\"] \n  8 -> 14 [size =\"22381568\"]\n  8 -> 15 [size =\"22381568\"]\n  8 -> 17 [size =\"22381568\"]\n  8 -> 18 [size =\"22381568\"]\n  8 -> 24 [size =\"22381568\"]\n  8 -> 27 [size =\"22381568\"]\n  9 [size=\"70686720\", alpha=\"0.06\", expect_size=\"35343360\"] \n  9 -> 15 [size =\"35343360\"]\n  9 -> 16 [size =\"35343360\"]\n  9 -> 24 [size =\"35343360\"]\n  9 -> 26 [size =\"35343360\"]\n  10 [size=\"75487232\", alpha=\"0.02\", expect_size=\"37743616\"] \n  10 -> 11 [size =\"37743616\"]\n  10 -> 21 [size =\"37743616\"]\n  10 -> 23 [size =\"37743616\"]\n  10 -> 24 [size =\"37743616\"]\n  10 -> 26 [size =\"37743616\"]\n  11 [size=\"92348416\", alpha=\"0.05\", expect_size=\"46174208\"] \n  11 -> 31 [size =\"46174208\"]\n  11 -> 34 [size =\"46174208\"]\n  11 -> 37 [size =\"46174208\"]\n  11 -> 38 [size =\"46174208\"]\n  11 -> 42 [size =\"46174208\"]\n  11 -> 44 [size =\"46174208\"]\n  12 [size=\"70725632\", alpha=\"0.08\", expect_size=\"35362816\"] \n  12 -> 28 [size =\"35362816\"]\n  12 -> 31 [size =\"35362816\"]\n  12 -> 32 [size =\"35362816\"]\n  12 -> 34 [size =\"35362816\"]\n  12 -> 36 [size =\"35362816\"]\n  12 -> 40 [size =\"35362816\"]\n  13 [size=\"78399488\", alpha=\"0.20\", expect_size=\"39199744\"] \n  13 -> 28 [size =\"39199744\"]\n  13 -> 31 [size =\"39199744\"]\n  13 -> 32 [size =\"39199744\"]\n  13 -> 33 [size =\"39199744\"]\n  13 -> 35 [size =\"39199744\"]\n  13 -> 36 [size =\"39199744\"]\n  14 [size=\"69586944\", alpha=\"0.20\", expect_size=\"34793472\"] \n  14 -> 31 [size =\"34793472\"]\n  14 -> 32 [size =\"34793472\"]\n  14 -> 35 [size =\"34793472\"]\n  14 -> 37 [size =\"34793472\"]\n  15 [size=\"65388544\", alpha=\"0.17\", expect_size=\"32694272\"] \n  15 -> 34 [size =\"32694272\"]\n  15 -> 35 [size =\"32694272\"]\n  15 -> 37 [size =\"32694272\"]\n  15 -> 40 [size =\"32694272\"]\n  15 -> 44 [size =\"32694272\"]\n  16 [size=\"76156928\", alpha=\"0.16\", expect_size=\"38078464\"] \n  16 -> 35 [size =\"38078464\"]\n  16 -> 37 [size =\"38078464\"]\n  16 -> 40 [size =\"38078464\"]\n  17 [size=\"14827520\", alpha=\"0.03\", expect_size=\"7413760\"] \n  17 -> 33 [size =\"7413760\"]\n  17 -> 34 [size =\"7413760\"]\n  17 -> 40 [size =\"7413760\"]\n  18 [size=\"104660992\", alpha=\"0.20\", expect_size=\"52330496\"] \n  18 -> 28 [size =\"52330496\"]\n  18 -> 31 [size =\"52330496\"]\n  18 -> 37 [size =\"52330496\"]\n  18 -> 39 [size =\"52330496\"]\n  19 [size=\"59805696\", alpha=\"0.15\", expect_size=\"29902848\"] \n  19 -> 34 [size =\"29902848\"]\n  19 -> 37 [size =\"29902848\"]\n  19 -> 37 [size =\"29902848\"]\n  19 -> 38 [size =\"29902848\"]\n  19 -> 40 [size =\"29902848\"]\n  19 -> 44 [size =\"29902848\"]\n  20 [size=\"90361856\", alpha=\"0.06\", expect_size=\"45180928\"] \n  20 -> 28 [size =\"45180928\"]\n  20 -> 31 [size =\"45180928\"]\n  20 -> 32 [size =\"45180928\"]\n  20 -> 34 [size =\"45180928\"]\n  20 -> 44 [size =\"45180928\"]\n  20 -> 44 [size =\"45180928\"]\n  21 [size=\"99072000\", alpha=\"0.11\", expect_size=\"49536000\"] \n  21 -> 28 [size =\"49536000\"]\n  21 -> 32 [size =\"49536000\"]\n  21 -> 32 [size =\"49536000\"]\n  21 -> 34 [size =\"49536000\"]\n  21 -> 37 [size =\"49536000\"]\n  21 -> 41 [size =\"49536000\"]\n  21 -> 44 [size =\"49536000\"]\n  22 [size=\"27205632\", alpha=\"0.12\", expect_size=\"13602816\"] \n  22 -> 28 [size =\"13602816\"]\n  22 -> 31 [size =\"13602816\"]\n  22 -> 32 [size =\"13602816\"]\n  22 -> 34 [size =\"13602816\"]\n  22 -> 35 [size =\"13602816\"]\n  22 -> 40 [size =\"13602816\"]\n  22 -> 44 [size =\"13602816\"]\n  23 [size=\"65953792\", alpha=\"0.16\", expect_size=\"32976896\"] \n  23 -> 28 [size =\"32976896\"]\n  23 -> 32 [size =\"32976896\"]\n  23 -> 34 [size =\"32976896\"]\n  23 -> 35 [size =\"32976896\"]\n  23 -> 37 [size =\"32976896\"]\n  23 -> 44 [size =\"32976896\"]\n  23 -> 44 [size =\"32976896\"]\n  24 [size=\"65521664\", alpha=\"0.06\", expect_size=\"32760832\"] \n  24 -> 28 [size =\"32760832\"]\n  24 -> 31 [size =\"32760832\"]\n  24 -> 32 [size =\"32760832\"]\n  24 -> 35 [size =\"32760832\"]\n  24 -> 36 [size =\"32760832\"]\n  24 -> 38 [size =\"32760832\"]\n  24 -> 40 [size =\"32760832\"]\n  24 -> 43 [size =\"32760832\"]\n  25 [size=\"64557056\", alpha=\"0.11\", expect_size=\"32278528\"] \n  25 -> 28 [size =\"32278528\"]\n  25 -> 30 [size =\"32278528\"]\n  25 -> 31 [size =\"32278528\"]\n  25 -> 32 [size =\"32278528\"]\n  25 -> 33 [size =\"32278528\"]\n  25 -> 34 [size =\"32278528\"]\n  25 -> 38 [size =\"32278528\"]\n  25 -> 42 [size =\"32278528\"]\n  26 [size=\"50227200\", alpha=\"0.06\", expect_size=\"25113600\"] \n  26 -> 28 [size =\"25113600\"]\n  26 -> 29 [size =\"25113600\"]\n  26 -> 31 [size =\"25113600\"]\n  26 -> 32 [size =\"25113600\"]\n  26 -> 34 [size =\"25113600\"]\n  26 -> 35 [size =\"25113600\"]\n  26 -> 37 [size =\"25113600\"]\n  26 -> 42 [size =\"25113600\"]\n  27 [size=\"32217088\", alpha=\"0.19\", expect_size=\"16108544\"] \n  27 -> 31 [size =\"16108544\"]\n  27 -> 33 [size =\"16108544\"]\n  27 -> 34 [size =\"16108544\"]\n  27 -> 38 [size =\"16108544\"]\n  27 -> 43 [size =\"16108544\"]\n  28 [size=\"44920832\", alpha=\"0.20\", expect_size=\"22460416\"] \n  28 -> 45 [size =\"22460416\"]\n  28 -> 47 [size =\"22460416\"]\n  28 -> 48 [size =\"22460416\"]\n  28 -> 50 [size =\"22460416\"]\n  29 [size=\"42868736\", alpha=\"0.13\", expect_size=\"21434368\"] \n  29 -> 45 [size =\"21434368\"]\n  29 -> 47 [size =\"21434368\"]\n  29 -> 48 [size =\"21434368\"]\n  29 -> 50 [size =\"21434368\"]\n  30 [size=\"20729856\", alpha=\"0.00\", expect_size=\"10364928\"] \n  30 -> 47 [size =\"10364928\"]\n  30 -> 48 [size =\"10364928\"]\n  30 -> 48 [size =\"10364928\"]\n  30 -> 49 [size =\"10364928\"]\n  30 -> 50 [size =\"10364928\"]\n  31 [size=\"50386944\", alpha=\"0.05\", expect_size=\"25193472\"] \n  31 -> 45 [size =\"25193472\"]\n  31 -> 48 [size =\"25193472\"]\n  31 -> 49 [size =\"25193472\"]\n  31 -> 49 [size =\"25193472\"]\n  31 -> 50 [size =\"25193472\"]\n  32 [size=\"102238208\", alpha=\"0.02\", expect_size=\"51119104\"] \n  32 -> 45 [size =\"51119104\"]\n  32 -> 48 [size =\"51119104\"]\n  32 -> 49 [size =\"51119104\"]\n  33 [size=\"66754560\", alpha=\"0.14\", expect_size=\"33377280\"] \n  33 -> 46 [size =\"33377280\"]\n  33 -> 49 [size =\"33377280\"]\n  34 [size=\"48904192\", alpha=\"0.18\", expect_size=\"24452096\"] \n  34 -> 46 [size =\"24452096\"]\n  34 -> 47 [size =\"24452096\"]\n  35 [size=\"76849152\", alpha=\"0.14\", expect_size=\"38424576\"] \n  35 -> 45 [size =\"38424576\"]\n  35 -> 46 [size =\"38424576\"]\n  35 -> 49 [size =\"38424576\"]\n  36 [size=\"34146304\", alpha=\"0.03\", expect_size=\"17073152\"] \n  36 -> 45 [size =\"17073152\"]\n  36 -> 46 [size =\"17073152\"]\n  36 -> 47 [size =\"17073152\"]\n  36 -> 48 [size =\"17073152\"]\n  37 [size=\"61986816\", alpha=\"0.14\", expect_size=\"30993408\"] \n  37 -> 45 [size =\"30993408\"]\n  37 -> 50 [size =\"30993408\"]\n  38 [size=\"58292224\", alpha=\"0.04\", expect_size=\"29146112\"] \n  38 -> 45 [size =\"29146112\"]\n  38 -> 46 [size =\"29146112\"]\n  39 [size=\"57346048\", alpha=\"0.05\", expect_size=\"28673024\"] \n  39 -> 45 [size =\"28673024\"]\n  39 -> 46 [size =\"28673024\"]\n  40 [size=\"24977408\", alpha=\"0.03\", expect_size=\"12488704\"] \n  40 -> 47 [size =\"12488704\"]\n  41 [size=\"26187776\", alpha=\"0.00\", expect_size=\"13093888\"] \n  41 -> 46 [size =\"13093888\"]\n  41 -> 47 [size =\"13093888\"]\n  41 -> 48 [size =\"13093888\"]\n  41 -> 49 [size =\"13093888\"]\n  42 [size=\"48472064\", alpha=\"0.00\", expect_size=\"24236032\"] \n  42 -> 45 [size =\"24236032\"]\n  42 -> 48 [size =\"24236032\"]\n  43 [size=\"57696256\", alpha=\"0.12\", expect_size=\"28848128\"] \n  43 -> 48 [size =\"28848128\"]\n  44 [size=\"27404288\", alpha=\"0.16\", expect_size=\"13702144\"] \n  44 -> 45 [size =\"13702144\"]\n  44 -> 46 [size =\"13702144\"]\n  44 -> 47 [size =\"13702144\"]\n  44 -> 48 [size =\"13702144\"]\n  44 -> 49 [size =\"13702144\"]\n  44 -> 50 [size =\"13702144\"]\n  45 [size=\"16699392\", alpha=\"0.11\", expect_size=\"8349696\"] \n  46 [size=\"80480256\", alpha=\"0.15\", expect_size=\"40240128\"] \n  47 [size=\"95676416\", alpha=\"0.03\", expect_size=\"47838208\"] \n  48 [size=\"66633728\", alpha=\"0.19\", expect_size=\"33316864\"] \n  49 [size=\"87527424\", alpha=\"0.01\", expect_size=\"43763712\"] \n  50 [size=\"18933760\", alpha=\"0.05\", expect_size=\"9466880\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.1.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"146322773\", alpha=\"0.19\", expect_size=\"43896832\"] \n  1 -> 3 [size =\"43896832\"]\n  1 -> 4 [size =\"43896832\"]\n  2 [size=\"68355413\", alpha=\"0.18\", expect_size=\"20506624\"] \n  2 -> 3 [size =\"20506624\"]\n  2 -> 4 [size =\"20506624\"]\n  2 -> 5 [size =\"20506624\"]\n  3 [size=\"68003840\", alpha=\"0.08\", expect_size=\"20401152\"] \n  3 -> 6 [size =\"20401152\"]\n  3 -> 7 [size =\"20401152\"]\n  4 [size=\"68164267\", alpha=\"0.11\", expect_size=\"20449280\"] \n  4 -> 6 [size =\"20449280\"]\n  4 -> 7 [size =\"20449280\"]\n  5 [size=\"110216533\", alpha=\"0.18\", expect_size=\"33064960\"] \n  5 -> 6 [size =\"33064960\"]\n  5 -> 7 [size =\"33064960\"]\n  6 [size=\"160303787\", alpha=\"0.10\", expect_size=\"48091136\"] \n  6 -> 8 [size =\"48091136\"]\n  6 -> 9 [size =\"48091136\"]\n  7 [size=\"159092053\", alpha=\"0.16\", expect_size=\"47727616\"] \n  7 -> 8 [size =\"47727616\"]\n  8 [size=\"41093120\", alpha=\"0.04\", expect_size=\"12327936\"] \n  9 [size=\"73809920\", alpha=\"0.13\", expect_size=\"22142976\"] \n  9 -> 10 [size =\"22142976\"]\n  10 [size=\"53852160\", alpha=\"0.11\", expect_size=\"16155648\"] \n  10 -> 11 [size =\"16155648\"]\n  10 -> 12 [size =\"16155648\"]\n  10 -> 13 [size =\"16155648\"]\n  11 [size=\"53602987\", alpha=\"0.03\", expect_size=\"16080896\"] \n  11 -> 14 [size =\"16080896\"]\n  11 -> 15 [size =\"16080896\"]\n  11 -> 16 [size =\"16080896\"]\n  12 [size=\"46656853\", alpha=\"0.14\", expect_size=\"13997056\"] \n  12 -> 16 [size =\"13997056\"]\n  12 -> 17 [size =\"13997056\"]\n  13 [size=\"32112640\", alpha=\"0.20\", expect_size=\"9633792\"] \n  13 -> 15 [size =\"9633792\"]\n  13 -> 16 [size =\"9633792\"]\n  13 -> 17 [size =\"9633792\"]\n  14 [size=\"96771413\", alpha=\"0.18\", expect_size=\"29031424\"] \n  14 -> 18 [size =\"29031424\"]\n  15 [size=\"25982293\", alpha=\"0.08\", expect_size=\"7794688\"] \n  16 [size=\"171025067\", alpha=\"0.19\", expect_size=\"51307520\"] \n  17 [size=\"93658453\", alpha=\"0.08\", expect_size=\"28097536\"] \n  17 -> 19 [size =\"28097536\"]\n  17 -> 20 [size =\"28097536\"]\n  17 -> 21 [size =\"28097536\"]\n  18 [size=\"60467200\", alpha=\"0.00\", expect_size=\"18140160\"] \n  18 -> 22 [size =\"18140160\"]\n  18 -> 23 [size =\"18140160\"]\n  19 [size=\"91139413\", alpha=\"0.11\", expect_size=\"27341824\"] \n  20 [size=\"39174827\", alpha=\"0.13\", expect_size=\"11752448\"] \n  20 -> 23 [size =\"11752448\"]\n  21 [size=\"126170453\", alpha=\"0.13\", expect_size=\"37851136\"] \n  21 -> 22 [size =\"37851136\"]\n  21 -> 23 [size =\"37851136\"]\n  22 [size=\"150545067\", alpha=\"0.18\", expect_size=\"45163520\"] \n  22 -> 24 [size =\"45163520\"]\n  22 -> 25 [size =\"45163520\"]\n  23 [size=\"106240000\", alpha=\"0.10\", expect_size=\"31872000\"] \n  23 -> 25 [size =\"31872000\"]\n  24 [size=\"102557013\", alpha=\"0.09\", expect_size=\"30767104\"] \n  24 -> 26 [size =\"30767104\"]\n  25 [size=\"84633600\", alpha=\"0.19\", expect_size=\"25390080\"] \n  26 [size=\"144827733\", alpha=\"0.08\", expect_size=\"43448320\"] \n  26 -> 27 [size =\"43448320\"]\n  26 -> 28 [size =\"43448320\"]\n  27 [size=\"134321493\", alpha=\"0.14\", expect_size=\"40296448\"] \n  27 -> 30 [size =\"40296448\"]\n  28 [size=\"41929387\", alpha=\"0.04\", expect_size=\"12578816\"] \n  28 -> 29 [size =\"12578816\"]\n  28 -> 30 [size =\"12578816\"]\n  29 [size=\"45482667\", alpha=\"0.00\", expect_size=\"13644800\"] \n  29 -> 31 [size =\"13644800\"]\n  29 -> 32 [size =\"13644800\"]\n  29 -> 33 [size =\"13644800\"]\n  30 [size=\"129464320\", alpha=\"0.02\", expect_size=\"38839296\"] \n  30 -> 31 [size =\"38839296\"]\n  30 -> 32 [size =\"38839296\"]\n  30 -> 33 [size =\"38839296\"]\n  30 -> 34 [size =\"38839296\"]\n  31 [size=\"78213120\", alpha=\"0.08\", expect_size=\"23463936\"] \n  31 -> 35 [size =\"23463936\"]\n  32 [size=\"20578987\", alpha=\"0.17\", expect_size=\"6173696\"] \n  32 -> 35 [size =\"6173696\"]\n  32 -> 36 [size =\"6173696\"]\n  33 [size=\"164720640\", alpha=\"0.09\", expect_size=\"49416192\"] \n  33 -> 36 [size =\"49416192\"]\n  34 [size=\"89316693\", alpha=\"0.10\", expect_size=\"26795008\"] \n  34 -> 35 [size =\"26795008\"]\n  34 -> 36 [size =\"26795008\"]\n  35 [size=\"159624533\", alpha=\"0.13\", expect_size=\"47887360\"] \n  35 -> 38 [size =\"47887360\"]\n  35 -> 39 [size =\"47887360\"]\n  36 [size=\"153811627\", alpha=\"0.15\", expect_size=\"46143488\"] \n  36 -> 37 [size =\"46143488\"]\n  36 -> 39 [size =\"46143488\"]\n  36 -> 40 [size =\"46143488\"]\n  37 [size=\"57425920\", alpha=\"0.07\", expect_size=\"17227776\"] \n  37 -> 41 [size =\"17227776\"]\n  38 [size=\"169366187\", alpha=\"0.04\", expect_size=\"50809856\"] \n  38 -> 42 [size =\"50809856\"]\n  38 -> 43 [size =\"50809856\"]\n  39 [size=\"41396907\", alpha=\"0.11\", expect_size=\"12419072\"] \n  39 -> 41 [size =\"12419072\"]\n  39 -> 43 [size =\"12419072\"]\n  40 [size=\"44417707\", alpha=\"0.00\", expect_size=\"13325312\"] \n  40 -> 41 [size =\"13325312\"]\n  40 -> 42 [size =\"13325312\"]\n  40 -> 43 [size =\"13325312\"]\n  41 [size=\"57524907\", alpha=\"0.03\", expect_size=\"17257472\"] \n  41 -> 45 [size =\"17257472\"]\n  41 -> 47 [size =\"17257472\"]\n  42 [size=\"116841813\", alpha=\"0.03\", expect_size=\"35052544\"] \n  42 -> 45 [size =\"35052544\"]\n  42 -> 46 [size =\"35052544\"]\n  43 [size=\"94272853\", alpha=\"0.15\", expect_size=\"28281856\"] \n  43 -> 44 [size =\"28281856\"]\n  43 -> 46 [size =\"28281856\"]\n  44 [size=\"161730560\", alpha=\"0.17\", expect_size=\"48519168\"] \n  44 -> 48 [size =\"48519168\"]\n  45 [size=\"83944107\", alpha=\"0.08\", expect_size=\"25183232\"] \n  45 -> 49 [size =\"25183232\"]\n  45 -> 50 [size =\"25183232\"]\n  46 [size=\"26705920\", alpha=\"0.15\", expect_size=\"8011776\"] \n  46 -> 50 [size =\"8011776\"]\n  47 [size=\"143571627\", alpha=\"0.17\", expect_size=\"43071488\"] \n  47 -> 48 [size =\"43071488\"]\n  48 [size=\"38857387\", alpha=\"0.02\", expect_size=\"11657216\"] \n  49 [size=\"70137173\", alpha=\"0.10\", expect_size=\"21041152\"] \n  50 [size=\"153784320\", alpha=\"0.13\", expect_size=\"46135296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.10.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"52654080\", alpha=\"0.12\", expect_size=\"15796224\"] \n  1 -> 3 [size =\"15796224\"]\n  1 -> 4 [size =\"15796224\"]\n  1 -> 5 [size =\"15796224\"]\n  2 [size=\"57647787\", alpha=\"0.04\", expect_size=\"17294336\"] \n  2 -> 3 [size =\"17294336\"]\n  2 -> 4 [size =\"17294336\"]\n  2 -> 5 [size =\"17294336\"]\n  3 [size=\"34560000\", alpha=\"0.07\", expect_size=\"10368000\"] \n  3 -> 6 [size =\"10368000\"]\n  3 -> 7 [size =\"10368000\"]\n  4 [size=\"132935680\", alpha=\"0.06\", expect_size=\"39880704\"] \n  4 -> 6 [size =\"39880704\"]\n  5 [size=\"72837120\", alpha=\"0.11\", expect_size=\"21851136\"] \n  5 -> 6 [size =\"21851136\"]\n  5 -> 8 [size =\"21851136\"]\n  6 [size=\"116254720\", alpha=\"0.12\", expect_size=\"34876416\"] \n  6 -> 9 [size =\"34876416\"]\n  6 -> 10 [size =\"34876416\"]\n  7 [size=\"49971200\", alpha=\"0.08\", expect_size=\"14991360\"] \n  8 [size=\"124566187\", alpha=\"0.16\", expect_size=\"37369856\"] \n  9 [size=\"172653227\", alpha=\"0.17\", expect_size=\"51795968\"] \n  9 -> 11 [size =\"51795968\"]\n  9 -> 12 [size =\"51795968\"]\n  10 [size=\"155883520\", alpha=\"0.05\", expect_size=\"46765056\"] \n  10 -> 11 [size =\"46765056\"]\n  10 -> 12 [size =\"46765056\"]\n  11 [size=\"150104747\", alpha=\"0.18\", expect_size=\"45031424\"] \n  11 -> 13 [size =\"45031424\"]\n  11 -> 14 [size =\"45031424\"]\n  12 [size=\"86941013\", alpha=\"0.16\", expect_size=\"26082304\"] \n  12 -> 14 [size =\"26082304\"]\n  13 [size=\"122214400\", alpha=\"0.17\", expect_size=\"36664320\"] \n  13 -> 15 [size =\"36664320\"]\n  13 -> 16 [size =\"36664320\"]\n  14 [size=\"19770027\", alpha=\"0.20\", expect_size=\"5931008\"] \n  14 -> 15 [size =\"5931008\"]\n  14 -> 16 [size =\"5931008\"]\n  15 [size=\"63703040\", alpha=\"0.10\", expect_size=\"19110912\"] \n  15 -> 17 [size =\"19110912\"]\n  15 -> 18 [size =\"19110912\"]\n  16 [size=\"153927680\", alpha=\"0.08\", expect_size=\"46178304\"] \n  16 -> 17 [size =\"46178304\"]\n  16 -> 18 [size =\"46178304\"]\n  17 [size=\"91129173\", alpha=\"0.02\", expect_size=\"27338752\"] \n  17 -> 20 [size =\"27338752\"]\n  17 -> 21 [size =\"27338752\"]\n  18 [size=\"154453333\", alpha=\"0.13\", expect_size=\"46336000\"] \n  18 -> 19 [size =\"46336000\"]\n  18 -> 20 [size =\"46336000\"]\n  19 [size=\"119453013\", alpha=\"0.16\", expect_size=\"35835904\"] \n  19 -> 22 [size =\"35835904\"]\n  19 -> 23 [size =\"35835904\"]\n  19 -> 24 [size =\"35835904\"]\n  20 [size=\"95057920\", alpha=\"0.02\", expect_size=\"28517376\"] \n  20 -> 22 [size =\"28517376\"]\n  20 -> 23 [size =\"28517376\"]\n  20 -> 24 [size =\"28517376\"]\n  21 [size=\"130474667\", alpha=\"0.12\", expect_size=\"39142400\"] \n  21 -> 22 [size =\"39142400\"]\n  21 -> 23 [size =\"39142400\"]\n  22 [size=\"112530773\", alpha=\"0.08\", expect_size=\"33759232\"] \n  22 -> 25 [size =\"33759232\"]\n  22 -> 26 [size =\"33759232\"]\n  23 [size=\"80295253\", alpha=\"0.06\", expect_size=\"24088576\"] \n  23 -> 25 [size =\"24088576\"]\n  23 -> 26 [size =\"24088576\"]\n  23 -> 27 [size =\"24088576\"]\n  24 [size=\"57173333\", alpha=\"0.18\", expect_size=\"17152000\"] \n  24 -> 25 [size =\"17152000\"]\n  24 -> 26 [size =\"17152000\"]\n  25 [size=\"54487040\", alpha=\"0.17\", expect_size=\"16346112\"] \n  25 -> 29 [size =\"16346112\"]\n  26 [size=\"134386347\", alpha=\"0.09\", expect_size=\"40315904\"] \n  26 -> 28 [size =\"40315904\"]\n  26 -> 29 [size =\"40315904\"]\n  27 [size=\"36611413\", alpha=\"0.06\", expect_size=\"10983424\"] \n  27 -> 28 [size =\"10983424\"]\n  27 -> 29 [size =\"10983424\"]\n  28 [size=\"52309333\", alpha=\"0.15\", expect_size=\"15692800\"] \n  28 -> 30 [size =\"15692800\"]\n  28 -> 31 [size =\"15692800\"]\n  28 -> 32 [size =\"15692800\"]\n  29 [size=\"153825280\", alpha=\"0.05\", expect_size=\"46147584\"] \n  29 -> 30 [size =\"46147584\"]\n  29 -> 32 [size =\"46147584\"]\n  30 [size=\"120330240\", alpha=\"0.12\", expect_size=\"36099072\"] \n  30 -> 33 [size =\"36099072\"]\n  30 -> 34 [size =\"36099072\"]\n  31 [size=\"134027947\", alpha=\"0.16\", expect_size=\"40208384\"] \n  31 -> 34 [size =\"40208384\"]\n  32 [size=\"72806400\", alpha=\"0.09\", expect_size=\"21841920\"] \n  32 -> 33 [size =\"21841920\"]\n  32 -> 34 [size =\"21841920\"]\n  33 [size=\"134123520\", alpha=\"0.15\", expect_size=\"40237056\"] \n  33 -> 35 [size =\"40237056\"]\n  33 -> 36 [size =\"40237056\"]\n  34 [size=\"20493653\", alpha=\"0.01\", expect_size=\"6148096\"] \n  34 -> 35 [size =\"6148096\"]\n  34 -> 36 [size =\"6148096\"]\n  35 [size=\"161952427\", alpha=\"0.14\", expect_size=\"48585728\"] \n  35 -> 38 [size =\"48585728\"]\n  35 -> 39 [size =\"48585728\"]\n  36 [size=\"142001493\", alpha=\"0.03\", expect_size=\"42600448\"] \n  36 -> 37 [size =\"42600448\"]\n  36 -> 38 [size =\"42600448\"]\n  36 -> 39 [size =\"42600448\"]\n  37 [size=\"59415893\", alpha=\"0.02\", expect_size=\"17824768\"] \n  37 -> 40 [size =\"17824768\"]\n  38 [size=\"103983787\", alpha=\"0.19\", expect_size=\"31195136\"] \n  38 -> 41 [size =\"31195136\"]\n  39 [size=\"68218880\", alpha=\"0.08\", expect_size=\"20465664\"] \n  39 -> 41 [size =\"20465664\"]\n  40 [size=\"107301547\", alpha=\"0.08\", expect_size=\"32190464\"] \n  40 -> 42 [size =\"32190464\"]\n  41 [size=\"45066240\", alpha=\"0.01\", expect_size=\"13519872\"] \n  41 -> 42 [size =\"13519872\"]\n  41 -> 43 [size =\"13519872\"]\n  41 -> 44 [size =\"13519872\"]\n  42 [size=\"171431253\", alpha=\"0.07\", expect_size=\"51429376\"] \n  42 -> 45 [size =\"51429376\"]\n  42 -> 46 [size =\"51429376\"]\n  43 [size=\"83998720\", alpha=\"0.01\", expect_size=\"25199616\"] \n  43 -> 45 [size =\"25199616\"]\n  43 -> 46 [size =\"25199616\"]\n  44 [size=\"44800000\", alpha=\"0.19\", expect_size=\"13440000\"] \n  44 -> 45 [size =\"13440000\"]\n  44 -> 46 [size =\"13440000\"]\n  45 [size=\"56132267\", alpha=\"0.03\", expect_size=\"16839680\"] \n  45 -> 47 [size =\"16839680\"]\n  45 -> 48 [size =\"16839680\"]\n  46 [size=\"164215467\", alpha=\"0.01\", expect_size=\"49264640\"] \n  46 -> 47 [size =\"49264640\"]\n  46 -> 48 [size =\"49264640\"]\n  47 [size=\"33652053\", alpha=\"0.02\", expect_size=\"10095616\"] \n  47 -> 49 [size =\"10095616\"]\n  48 [size=\"52664320\", alpha=\"0.07\", expect_size=\"15799296\"] \n  48 -> 49 [size =\"15799296\"]\n  48 -> 50 [size =\"15799296\"]\n  49 [size=\"43659947\", alpha=\"0.10\", expect_size=\"13097984\"] \n  50 [size=\"108612267\", alpha=\"0.05\", expect_size=\"32583680\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.11.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154528427\", alpha=\"0.18\", expect_size=\"46358528\"] \n  1 -> 5 [size =\"46358528\"]\n  1 -> 6 [size =\"46358528\"]\n  2 [size=\"137222827\", alpha=\"0.04\", expect_size=\"41166848\"] \n  2 -> 4 [size =\"41166848\"]\n  3 [size=\"104809813\", alpha=\"0.01\", expect_size=\"31442944\"] \n  3 -> 6 [size =\"31442944\"]\n  4 [size=\"22555307\", alpha=\"0.16\", expect_size=\"6766592\"] \n  4 -> 7 [size =\"6766592\"]\n  4 -> 8 [size =\"6766592\"]\n  5 [size=\"59613867\", alpha=\"0.10\", expect_size=\"17884160\"] \n  5 -> 7 [size =\"17884160\"]\n  6 [size=\"96180907\", alpha=\"0.02\", expect_size=\"28854272\"] \n  6 -> 7 [size =\"28854272\"]\n  7 [size=\"128757760\", alpha=\"0.19\", expect_size=\"38627328\"] \n  7 -> 9 [size =\"38627328\"]\n  7 -> 10 [size =\"38627328\"]\n  8 [size=\"21637120\", alpha=\"0.19\", expect_size=\"6491136\"] \n  8 -> 10 [size =\"6491136\"]\n  8 -> 11 [size =\"6491136\"]\n  9 [size=\"70993920\", alpha=\"0.08\", expect_size=\"21298176\"] \n  9 -> 12 [size =\"21298176\"]\n  9 -> 13 [size =\"21298176\"]\n  10 [size=\"142004907\", alpha=\"0.03\", expect_size=\"42601472\"] \n  10 -> 12 [size =\"42601472\"]\n  10 -> 13 [size =\"42601472\"]\n  10 -> 14 [size =\"42601472\"]\n  11 [size=\"85882880\", alpha=\"0.15\", expect_size=\"25764864\"] \n  11 -> 12 [size =\"25764864\"]\n  11 -> 13 [size =\"25764864\"]\n  11 -> 14 [size =\"25764864\"]\n  12 [size=\"67413333\", alpha=\"0.04\", expect_size=\"20224000\"] \n  12 -> 16 [size =\"20224000\"]\n  13 [size=\"97884160\", alpha=\"0.10\", expect_size=\"29365248\"] \n  13 -> 15 [size =\"29365248\"]\n  14 [size=\"103526400\", alpha=\"0.12\", expect_size=\"31057920\"] \n  14 -> 16 [size =\"31057920\"]\n  15 [size=\"72717653\", alpha=\"0.05\", expect_size=\"21815296\"] \n  15 -> 17 [size =\"21815296\"]\n  15 -> 18 [size =\"21815296\"]\n  16 [size=\"148247893\", alpha=\"0.09\", expect_size=\"44474368\"] \n  16 -> 17 [size =\"44474368\"]\n  16 -> 18 [size =\"44474368\"]\n  16 -> 19 [size =\"44474368\"]\n  17 [size=\"166140587\", alpha=\"0.15\", expect_size=\"49842176\"] \n  17 -> 20 [size =\"49842176\"]\n  17 -> 21 [size =\"49842176\"]\n  17 -> 22 [size =\"49842176\"]\n  18 [size=\"158938453\", alpha=\"0.03\", expect_size=\"47681536\"] \n  18 -> 20 [size =\"47681536\"]\n  18 -> 21 [size =\"47681536\"]\n  18 -> 22 [size =\"47681536\"]\n  19 [size=\"152043520\", alpha=\"0.13\", expect_size=\"45613056\"] \n  19 -> 21 [size =\"45613056\"]\n  19 -> 22 [size =\"45613056\"]\n  20 [size=\"60033707\", alpha=\"0.03\", expect_size=\"18010112\"] \n  20 -> 23 [size =\"18010112\"]\n  20 -> 24 [size =\"18010112\"]\n  21 [size=\"84063573\", alpha=\"0.12\", expect_size=\"25219072\"] \n  21 -> 23 [size =\"25219072\"]\n  21 -> 24 [size =\"25219072\"]\n  22 [size=\"46264320\", alpha=\"0.15\", expect_size=\"13879296\"] \n  22 -> 23 [size =\"13879296\"]\n  22 -> 24 [size =\"13879296\"]\n  23 [size=\"73939627\", alpha=\"0.10\", expect_size=\"22181888\"] \n  23 -> 25 [size =\"22181888\"]\n  23 -> 26 [size =\"22181888\"]\n  24 [size=\"148974933\", alpha=\"0.05\", expect_size=\"44692480\"] \n  24 -> 25 [size =\"44692480\"]\n  24 -> 26 [size =\"44692480\"]\n  25 [size=\"82647040\", alpha=\"0.06\", expect_size=\"24794112\"] \n  25 -> 27 [size =\"24794112\"]\n  25 -> 28 [size =\"24794112\"]\n  25 -> 29 [size =\"24794112\"]\n  26 [size=\"118586027\", alpha=\"0.16\", expect_size=\"35575808\"] \n  26 -> 27 [size =\"35575808\"]\n  26 -> 29 [size =\"35575808\"]\n  27 [size=\"34000213\", alpha=\"0.01\", expect_size=\"10200064\"] \n  27 -> 30 [size =\"10200064\"]\n  27 -> 31 [size =\"10200064\"]\n  28 [size=\"149725867\", alpha=\"0.07\", expect_size=\"44917760\"] \n  28 -> 31 [size =\"44917760\"]\n  29 [size=\"17476267\", alpha=\"0.19\", expect_size=\"5242880\"] \n  29 -> 30 [size =\"5242880\"]\n  30 [size=\"115841707\", alpha=\"0.07\", expect_size=\"34752512\"] \n  30 -> 32 [size =\"34752512\"]\n  30 -> 33 [size =\"34752512\"]\n  31 [size=\"142479360\", alpha=\"0.03\", expect_size=\"42743808\"] \n  31 -> 32 [size =\"42743808\"]\n  32 [size=\"77151573\", alpha=\"0.06\", expect_size=\"23145472\"] \n  32 -> 34 [size =\"23145472\"]\n  32 -> 35 [size =\"23145472\"]\n  33 [size=\"39611733\", alpha=\"0.20\", expect_size=\"11883520\"] \n  33 -> 34 [size =\"11883520\"]\n  33 -> 35 [size =\"11883520\"]\n  34 [size=\"117193387\", alpha=\"0.04\", expect_size=\"35158016\"] \n  34 -> 36 [size =\"35158016\"]\n  34 -> 37 [size =\"35158016\"]\n  35 [size=\"157692587\", alpha=\"0.15\", expect_size=\"47307776\"] \n  35 -> 37 [size =\"47307776\"]\n  36 [size=\"45960533\", alpha=\"0.03\", expect_size=\"13788160\"] \n  36 -> 38 [size =\"13788160\"]\n  36 -> 39 [size =\"13788160\"]\n  37 [size=\"17991680\", alpha=\"0.10\", expect_size=\"5397504\"] \n  37 -> 38 [size =\"5397504\"]\n  37 -> 39 [size =\"5397504\"]\n  38 [size=\"27781120\", alpha=\"0.14\", expect_size=\"8334336\"] \n  38 -> 41 [size =\"8334336\"]\n  39 [size=\"79489707\", alpha=\"0.16\", expect_size=\"23846912\"] \n  39 -> 40 [size =\"23846912\"]\n  39 -> 41 [size =\"23846912\"]\n  40 [size=\"69355520\", alpha=\"0.03\", expect_size=\"20806656\"] \n  40 -> 42 [size =\"20806656\"]\n  40 -> 43 [size =\"20806656\"]\n  41 [size=\"121903787\", alpha=\"0.19\", expect_size=\"36571136\"] \n  41 -> 42 [size =\"36571136\"]\n  42 [size=\"148258133\", alpha=\"0.19\", expect_size=\"44477440\"] \n  42 -> 44 [size =\"44477440\"]\n  42 -> 45 [size =\"44477440\"]\n  43 [size=\"41072640\", alpha=\"0.05\", expect_size=\"12321792\"] \n  43 -> 44 [size =\"12321792\"]\n  43 -> 45 [size =\"12321792\"]\n  44 [size=\"38041600\", alpha=\"0.08\", expect_size=\"11412480\"] \n  44 -> 46 [size =\"11412480\"]\n  44 -> 47 [size =\"11412480\"]\n  44 -> 48 [size =\"11412480\"]\n  45 [size=\"67928747\", alpha=\"0.20\", expect_size=\"20378624\"] \n  45 -> 46 [size =\"20378624\"]\n  45 -> 47 [size =\"20378624\"]\n  45 -> 48 [size =\"20378624\"]\n  46 [size=\"28699307\", alpha=\"0.04\", expect_size=\"8609792\"] \n  46 -> 49 [size =\"8609792\"]\n  46 -> 50 [size =\"8609792\"]\n  47 [size=\"51124907\", alpha=\"0.11\", expect_size=\"15337472\"] \n  47 -> 49 [size =\"15337472\"]\n  48 [size=\"126583467\", alpha=\"0.14\", expect_size=\"37975040\"] \n  48 -> 49 [size =\"37975040\"]\n  48 -> 50 [size =\"37975040\"]\n  49 [size=\"81967787\", alpha=\"0.18\", expect_size=\"24590336\"] \n  50 [size=\"51845120\", alpha=\"0.13\", expect_size=\"15553536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.12.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59320320\", alpha=\"0.20\", expect_size=\"17796096\"] \n  1 -> 2 [size =\"17796096\"]\n  2 [size=\"111680853\", alpha=\"0.17\", expect_size=\"33504256\"] \n  2 -> 3 [size =\"33504256\"]\n  2 -> 4 [size =\"33504256\"]\n  3 [size=\"30470827\", alpha=\"0.09\", expect_size=\"9141248\"] \n  3 -> 7 [size =\"9141248\"]\n  4 [size=\"37492053\", alpha=\"0.09\", expect_size=\"11247616\"] \n  4 -> 5 [size =\"11247616\"]\n  4 -> 6 [size =\"11247616\"]\n  5 [size=\"51281920\", alpha=\"0.03\", expect_size=\"15384576\"] \n  6 [size=\"135611733\", alpha=\"0.09\", expect_size=\"40683520\"] \n  6 -> 9 [size =\"40683520\"]\n  6 -> 10 [size =\"40683520\"]\n  7 [size=\"169284267\", alpha=\"0.03\", expect_size=\"50785280\"] \n  7 -> 8 [size =\"50785280\"]\n  7 -> 9 [size =\"50785280\"]\n  8 [size=\"145390933\", alpha=\"0.12\", expect_size=\"43617280\"] \n  9 [size=\"81220267\", alpha=\"0.10\", expect_size=\"24366080\"] \n  9 -> 11 [size =\"24366080\"]\n  10 [size=\"50701653\", alpha=\"0.09\", expect_size=\"15210496\"] \n  11 [size=\"135997440\", alpha=\"0.18\", expect_size=\"40799232\"] \n  11 -> 12 [size =\"40799232\"]\n  11 -> 13 [size =\"40799232\"]\n  12 [size=\"134369280\", alpha=\"0.12\", expect_size=\"40310784\"] \n  12 -> 14 [size =\"40310784\"]\n  13 [size=\"110383787\", alpha=\"0.11\", expect_size=\"33115136\"] \n  13 -> 14 [size =\"33115136\"]\n  13 -> 15 [size =\"33115136\"]\n  14 [size=\"24415573\", alpha=\"0.15\", expect_size=\"7324672\"] \n  14 -> 16 [size =\"7324672\"]\n  14 -> 17 [size =\"7324672\"]\n  15 [size=\"97355093\", alpha=\"0.06\", expect_size=\"29206528\"] \n  15 -> 17 [size =\"29206528\"]\n  16 [size=\"120166400\", alpha=\"0.01\", expect_size=\"36049920\"] \n  16 -> 20 [size =\"36049920\"]\n  17 [size=\"32269653\", alpha=\"0.01\", expect_size=\"9680896\"] \n  17 -> 18 [size =\"9680896\"]\n  17 -> 19 [size =\"9680896\"]\n  17 -> 20 [size =\"9680896\"]\n  18 [size=\"54121813\", alpha=\"0.14\", expect_size=\"16236544\"] \n  18 -> 21 [size =\"16236544\"]\n  18 -> 22 [size =\"16236544\"]\n  18 -> 23 [size =\"16236544\"]\n  18 -> 24 [size =\"16236544\"]\n  19 [size=\"144994987\", alpha=\"0.13\", expect_size=\"43498496\"] \n  19 -> 22 [size =\"43498496\"]\n  20 [size=\"70038187\", alpha=\"0.01\", expect_size=\"21011456\"] \n  20 -> 21 [size =\"21011456\"]\n  20 -> 23 [size =\"21011456\"]\n  21 [size=\"143656960\", alpha=\"0.15\", expect_size=\"43097088\"] \n  21 -> 25 [size =\"43097088\"]\n  22 [size=\"131778560\", alpha=\"0.20\", expect_size=\"39533568\"] \n  22 -> 25 [size =\"39533568\"]\n  22 -> 26 [size =\"39533568\"]\n  22 -> 27 [size =\"39533568\"]\n  23 [size=\"71536640\", alpha=\"0.07\", expect_size=\"21460992\"] \n  23 -> 26 [size =\"21460992\"]\n  23 -> 27 [size =\"21460992\"]\n  24 [size=\"154862933\", alpha=\"0.16\", expect_size=\"46458880\"] \n  24 -> 26 [size =\"46458880\"]\n  24 -> 27 [size =\"46458880\"]\n  25 [size=\"116176213\", alpha=\"0.10\", expect_size=\"34852864\"] \n  25 -> 28 [size =\"34852864\"]\n  25 -> 29 [size =\"34852864\"]\n  26 [size=\"165147307\", alpha=\"0.19\", expect_size=\"49544192\"] \n  26 -> 28 [size =\"49544192\"]\n  26 -> 29 [size =\"49544192\"]\n  27 [size=\"170397013\", alpha=\"0.07\", expect_size=\"51119104\"] \n  27 -> 28 [size =\"51119104\"]\n  28 [size=\"22927360\", alpha=\"0.12\", expect_size=\"6878208\"] \n  28 -> 30 [size =\"6878208\"]\n  28 -> 31 [size =\"6878208\"]\n  28 -> 32 [size =\"6878208\"]\n  29 [size=\"136338773\", alpha=\"0.04\", expect_size=\"40901632\"] \n  29 -> 30 [size =\"40901632\"]\n  30 [size=\"83032747\", alpha=\"0.01\", expect_size=\"24909824\"] \n  30 -> 34 [size =\"24909824\"]\n  31 [size=\"92897280\", alpha=\"0.13\", expect_size=\"27869184\"] \n  31 -> 34 [size =\"27869184\"]\n  32 [size=\"50490027\", alpha=\"0.19\", expect_size=\"15147008\"] \n  32 -> 33 [size =\"15147008\"]\n  32 -> 34 [size =\"15147008\"]\n  33 [size=\"50022400\", alpha=\"0.18\", expect_size=\"15006720\"] \n  33 -> 36 [size =\"15006720\"]\n  33 -> 37 [size =\"15006720\"]\n  34 [size=\"104488960\", alpha=\"0.17\", expect_size=\"31346688\"] \n  34 -> 35 [size =\"31346688\"]\n  34 -> 38 [size =\"31346688\"]\n  35 [size=\"76622507\", alpha=\"0.07\", expect_size=\"22986752\"] \n  35 -> 39 [size =\"22986752\"]\n  36 [size=\"157515093\", alpha=\"0.10\", expect_size=\"47254528\"] \n  36 -> 40 [size =\"47254528\"]\n  36 -> 41 [size =\"47254528\"]\n  37 [size=\"150736213\", alpha=\"0.14\", expect_size=\"45220864\"] \n  37 -> 40 [size =\"45220864\"]\n  38 [size=\"50804053\", alpha=\"0.03\", expect_size=\"15241216\"] \n  39 [size=\"142926507\", alpha=\"0.08\", expect_size=\"42877952\"] \n  39 -> 42 [size =\"42877952\"]\n  39 -> 43 [size =\"42877952\"]\n  40 [size=\"18981547\", alpha=\"0.01\", expect_size=\"5694464\"] \n  40 -> 43 [size =\"5694464\"]\n  41 [size=\"26774187\", alpha=\"0.09\", expect_size=\"8032256\"] \n  42 [size=\"127542613\", alpha=\"0.11\", expect_size=\"38262784\"] \n  42 -> 45 [size =\"38262784\"]\n  43 [size=\"123603627\", alpha=\"0.01\", expect_size=\"37081088\"] \n  43 -> 44 [size =\"37081088\"]\n  43 -> 46 [size =\"37081088\"]\n  43 -> 47 [size =\"37081088\"]\n  44 [size=\"107871573\", alpha=\"0.08\", expect_size=\"32361472\"] \n  44 -> 49 [size =\"32361472\"]\n  44 -> 50 [size =\"32361472\"]\n  45 [size=\"87282347\", alpha=\"0.07\", expect_size=\"26184704\"] \n  45 -> 50 [size =\"26184704\"]\n  45 -> 50 [size =\"26184704\"]\n  46 [size=\"141725013\", alpha=\"0.05\", expect_size=\"42517504\"] \n  46 -> 48 [size =\"42517504\"]\n  47 [size=\"59310080\", alpha=\"0.03\", expect_size=\"17793024\"] \n  47 -> 49 [size =\"17793024\"]\n  48 [size=\"169413973\", alpha=\"0.02\", expect_size=\"50824192\"] \n  49 [size=\"36819627\", alpha=\"0.15\", expect_size=\"11045888\"] \n  50 [size=\"103618560\", alpha=\"0.17\", expect_size=\"31085568\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.13.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"121766400\", alpha=\"0.17\", expect_size=\"48706560\"] \n  1 -> 6 [size =\"48706560\"]\n  1 -> 7 [size =\"48706560\"]\n  2 [size=\"125995520\", alpha=\"0.14\", expect_size=\"50398208\"] \n  2 -> 7 [size =\"50398208\"]\n  2 -> 10 [size =\"50398208\"]\n  3 [size=\"44810240\", alpha=\"0.13\", expect_size=\"17924096\"] \n  3 -> 6 [size =\"17924096\"]\n  3 -> 7 [size =\"17924096\"]\n  3 -> 8 [size =\"17924096\"]\n  3 -> 9 [size =\"17924096\"]\n  4 [size=\"130462720\", alpha=\"0.07\", expect_size=\"52185088\"] \n  4 -> 9 [size =\"52185088\"]\n  4 -> 10 [size =\"52185088\"]\n  4 -> 11 [size =\"52185088\"]\n  5 [size=\"62197760\", alpha=\"0.08\", expect_size=\"24879104\"] \n  5 -> 8 [size =\"24879104\"]\n  5 -> 10 [size =\"24879104\"]\n  5 -> 11 [size =\"24879104\"]\n  6 [size=\"113054720\", alpha=\"0.06\", expect_size=\"45221888\"] \n  6 -> 13 [size =\"45221888\"]\n  6 -> 18 [size =\"45221888\"]\n  6 -> 19 [size =\"45221888\"]\n  7 [size=\"14172160\", alpha=\"0.13\", expect_size=\"5668864\"] \n  7 -> 14 [size =\"5668864\"]\n  7 -> 16 [size =\"5668864\"]\n  7 -> 17 [size =\"5668864\"]\n  7 -> 18 [size =\"5668864\"]\n  7 -> 19 [size =\"5668864\"]\n  8 [size=\"44093440\", alpha=\"0.17\", expect_size=\"17637376\"] \n  8 -> 12 [size =\"17637376\"]\n  8 -> 16 [size =\"17637376\"]\n  9 [size=\"93022720\", alpha=\"0.04\", expect_size=\"37209088\"] \n  9 -> 14 [size =\"37209088\"]\n  9 -> 16 [size =\"37209088\"]\n  10 [size=\"81853440\", alpha=\"0.04\", expect_size=\"32741376\"] \n  10 -> 14 [size =\"32741376\"]\n  10 -> 15 [size =\"32741376\"]\n  10 -> 17 [size =\"32741376\"]\n  11 [size=\"58895360\", alpha=\"0.02\", expect_size=\"23558144\"] \n  11 -> 15 [size =\"23558144\"]\n  11 -> 16 [size =\"23558144\"]\n  11 -> 17 [size =\"23558144\"]\n  12 [size=\"43381760\", alpha=\"0.17\", expect_size=\"17352704\"] \n  12 -> 23 [size =\"17352704\"]\n  12 -> 24 [size =\"17352704\"]\n  13 [size=\"125642240\", alpha=\"0.04\", expect_size=\"50256896\"] \n  13 -> 20 [size =\"50256896\"]\n  13 -> 21 [size =\"50256896\"]\n  13 -> 23 [size =\"50256896\"]\n  13 -> 24 [size =\"50256896\"]\n  13 -> 25 [size =\"50256896\"]\n  14 [size=\"86871040\", alpha=\"0.11\", expect_size=\"34748416\"] \n  14 -> 24 [size =\"34748416\"]\n  15 [size=\"130355200\", alpha=\"0.02\", expect_size=\"52142080\"] \n  16 [size=\"59412480\", alpha=\"0.15\", expect_size=\"23764992\"] \n  16 -> 23 [size =\"23764992\"]\n  17 [size=\"96015360\", alpha=\"0.02\", expect_size=\"38406144\"] \n  17 -> 20 [size =\"38406144\"]\n  17 -> 25 [size =\"38406144\"]\n  18 [size=\"53985280\", alpha=\"0.11\", expect_size=\"21594112\"] \n  18 -> 22 [size =\"21594112\"]\n  19 [size=\"38904320\", alpha=\"0.19\", expect_size=\"15561728\"] \n  19 -> 20 [size =\"15561728\"]\n  19 -> 24 [size =\"15561728\"]\n  19 -> 25 [size =\"15561728\"]\n  20 [size=\"61944320\", alpha=\"0.20\", expect_size=\"24777728\"] \n  20 -> 29 [size =\"24777728\"]\n  20 -> 30 [size =\"24777728\"]\n  20 -> 31 [size =\"24777728\"]\n  21 [size=\"87383040\", alpha=\"0.18\", expect_size=\"34953216\"] \n  21 -> 28 [size =\"34953216\"]\n  21 -> 29 [size =\"34953216\"]\n  21 -> 31 [size =\"34953216\"]\n  22 [size=\"97464320\", alpha=\"0.16\", expect_size=\"38985728\"] \n  22 -> 28 [size =\"38985728\"]\n  22 -> 29 [size =\"38985728\"]\n  22 -> 32 [size =\"38985728\"]\n  23 [size=\"77450240\", alpha=\"0.20\", expect_size=\"30980096\"] \n  23 -> 27 [size =\"30980096\"]\n  23 -> 32 [size =\"30980096\"]\n  24 [size=\"100992000\", alpha=\"0.03\", expect_size=\"40396800\"] \n  24 -> 26 [size =\"40396800\"]\n  24 -> 31 [size =\"40396800\"]\n  25 [size=\"46251520\", alpha=\"0.14\", expect_size=\"18500608\"] \n  25 -> 31 [size =\"18500608\"]\n  25 -> 32 [size =\"18500608\"]\n  25 -> 33 [size =\"18500608\"]\n  26 [size=\"58931200\", alpha=\"0.03\", expect_size=\"23572480\"] \n  26 -> 35 [size =\"23572480\"]\n  26 -> 36 [size =\"23572480\"]\n  26 -> 39 [size =\"23572480\"]\n  27 [size=\"31493120\", alpha=\"0.11\", expect_size=\"12597248\"] \n  27 -> 35 [size =\"12597248\"]\n  27 -> 36 [size =\"12597248\"]\n  27 -> 38 [size =\"12597248\"]\n  28 [size=\"41059840\", alpha=\"0.05\", expect_size=\"16423936\"] \n  28 -> 35 [size =\"16423936\"]\n  28 -> 38 [size =\"16423936\"]\n  29 [size=\"105871360\", alpha=\"0.13\", expect_size=\"42348544\"] \n  29 -> 38 [size =\"42348544\"]\n  30 [size=\"100958720\", alpha=\"0.12\", expect_size=\"40383488\"] \n  30 -> 36 [size =\"40383488\"]\n  30 -> 39 [size =\"40383488\"]\n  30 -> 40 [size =\"40383488\"]\n  31 [size=\"98173440\", alpha=\"0.19\", expect_size=\"39269376\"] \n  31 -> 34 [size =\"39269376\"]\n  31 -> 37 [size =\"39269376\"]\n  31 -> 40 [size =\"39269376\"]\n  32 [size=\"88212480\", alpha=\"0.11\", expect_size=\"35284992\"] \n  32 -> 35 [size =\"35284992\"]\n  32 -> 36 [size =\"35284992\"]\n  32 -> 38 [size =\"35284992\"]\n  32 -> 39 [size =\"35284992\"]\n  33 [size=\"65999360\", alpha=\"0.02\", expect_size=\"26399744\"] \n  33 -> 35 [size =\"26399744\"]\n  33 -> 36 [size =\"26399744\"]\n  33 -> 40 [size =\"26399744\"]\n  34 [size=\"63239680\", alpha=\"0.05\", expect_size=\"25295872\"] \n  35 [size=\"79324160\", alpha=\"0.09\", expect_size=\"31729664\"] \n  35 -> 44 [size =\"31729664\"]\n  36 [size=\"45378560\", alpha=\"0.00\", expect_size=\"18151424\"] \n  37 [size=\"61350400\", alpha=\"0.05\", expect_size=\"24540160\"] \n  37 -> 41 [size =\"24540160\"]\n  37 -> 43 [size =\"24540160\"]\n  38 [size=\"128309760\", alpha=\"0.18\", expect_size=\"51323904\"] \n  38 -> 41 [size =\"51323904\"]\n  38 -> 42 [size =\"51323904\"]\n  39 [size=\"41310720\", alpha=\"0.14\", expect_size=\"16524288\"] \n  39 -> 41 [size =\"16524288\"]\n  40 [size=\"116200960\", alpha=\"0.19\", expect_size=\"46480384\"] \n  41 [size=\"67832320\", alpha=\"0.17\", expect_size=\"27132928\"] \n  42 [size=\"59960320\", alpha=\"0.09\", expect_size=\"23984128\"] \n  42 -> 47 [size =\"23984128\"]\n  42 -> 48 [size =\"23984128\"]\n  42 -> 49 [size =\"23984128\"]\n  42 -> 50 [size =\"23984128\"]\n  43 [size=\"122862080\", alpha=\"0.12\", expect_size=\"49144832\"] \n  43 -> 45 [size =\"49144832\"]\n  43 -> 49 [size =\"49144832\"]\n  44 [size=\"15173120\", alpha=\"0.09\", expect_size=\"6069248\"] \n  44 -> 46 [size =\"6069248\"]\n  44 -> 47 [size =\"6069248\"]\n  44 -> 49 [size =\"6069248\"]\n  45 [size=\"46594560\", alpha=\"0.13\", expect_size=\"18637824\"] \n  46 [size=\"98442240\", alpha=\"0.04\", expect_size=\"39376896\"] \n  47 [size=\"99059200\", alpha=\"0.18\", expect_size=\"39623680\"] \n  48 [size=\"13388800\", alpha=\"0.17\", expect_size=\"5355520\"] \n  49 [size=\"118241280\", alpha=\"0.11\", expect_size=\"47296512\"] \n  50 [size=\"85521920\", alpha=\"0.01\", expect_size=\"34208768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.14.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104931840\", alpha=\"0.15\", expect_size=\"41972736\"] \n  1 -> 21 [size =\"41972736\"]\n  1 -> 23 [size =\"41972736\"]\n  1 -> 28 [size =\"41972736\"]\n  2 [size=\"119439360\", alpha=\"0.01\", expect_size=\"47775744\"] \n  2 -> 20 [size =\"47775744\"]\n  2 -> 21 [size =\"47775744\"]\n  2 -> 25 [size =\"47775744\"]\n  2 -> 27 [size =\"47775744\"]\n  2 -> 29 [size =\"47775744\"]\n  2 -> 30 [size =\"47775744\"]\n  2 -> 31 [size =\"47775744\"]\n  3 [size=\"118615040\", alpha=\"0.11\", expect_size=\"47446016\"] \n  3 -> 20 [size =\"47446016\"]\n  3 -> 21 [size =\"47446016\"]\n  3 -> 28 [size =\"47446016\"]\n  3 -> 31 [size =\"47446016\"]\n  4 [size=\"108546560\", alpha=\"0.16\", expect_size=\"43418624\"] \n  4 -> 20 [size =\"43418624\"]\n  4 -> 22 [size =\"43418624\"]\n  4 -> 26 [size =\"43418624\"]\n  4 -> 27 [size =\"43418624\"]\n  4 -> 31 [size =\"43418624\"]\n  5 [size=\"18311680\", alpha=\"0.05\", expect_size=\"7324672\"] \n  5 -> 20 [size =\"7324672\"]\n  5 -> 24 [size =\"7324672\"]\n  5 -> 26 [size =\"7324672\"]\n  5 -> 29 [size =\"7324672\"]\n  6 [size=\"96092160\", alpha=\"0.04\", expect_size=\"38436864\"] \n  6 -> 20 [size =\"38436864\"]\n  6 -> 21 [size =\"38436864\"]\n  6 -> 23 [size =\"38436864\"]\n  6 -> 24 [size =\"38436864\"]\n  6 -> 30 [size =\"38436864\"]\n  7 [size=\"50531840\", alpha=\"0.03\", expect_size=\"20212736\"] \n  7 -> 20 [size =\"20212736\"]\n  7 -> 21 [size =\"20212736\"]\n  7 -> 24 [size =\"20212736\"]\n  7 -> 27 [size =\"20212736\"]\n  7 -> 30 [size =\"20212736\"]\n  7 -> 31 [size =\"20212736\"]\n  8 [size=\"105597440\", alpha=\"0.04\", expect_size=\"42238976\"] \n  8 -> 20 [size =\"42238976\"]\n  8 -> 23 [size =\"42238976\"]\n  8 -> 27 [size =\"42238976\"]\n  8 -> 28 [size =\"42238976\"]\n  8 -> 29 [size =\"42238976\"]\n  8 -> 31 [size =\"42238976\"]\n  9 [size=\"112947200\", alpha=\"0.04\", expect_size=\"45178880\"] \n  9 -> 23 [size =\"45178880\"]\n  9 -> 27 [size =\"45178880\"]\n  9 -> 29 [size =\"45178880\"]\n  9 -> 31 [size =\"45178880\"]\n  10 [size=\"106805760\", alpha=\"0.05\", expect_size=\"42722304\"] \n  10 -> 21 [size =\"42722304\"]\n  10 -> 29 [size =\"42722304\"]\n  10 -> 31 [size =\"42722304\"]\n  11 [size=\"43883520\", alpha=\"0.06\", expect_size=\"17553408\"] \n  11 -> 21 [size =\"17553408\"]\n  11 -> 27 [size =\"17553408\"]\n  11 -> 29 [size =\"17553408\"]\n  12 [size=\"13934080\", alpha=\"0.17\", expect_size=\"5573632\"] \n  12 -> 20 [size =\"5573632\"]\n  12 -> 23 [size =\"5573632\"]\n  12 -> 24 [size =\"5573632\"]\n  12 -> 25 [size =\"5573632\"]\n  12 -> 27 [size =\"5573632\"]\n  13 [size=\"19072000\", alpha=\"0.03\", expect_size=\"7628800\"] \n  13 -> 27 [size =\"7628800\"]\n  13 -> 30 [size =\"7628800\"]\n  14 [size=\"84267520\", alpha=\"0.08\", expect_size=\"33707008\"] \n  14 -> 20 [size =\"33707008\"]\n  14 -> 24 [size =\"33707008\"]\n  14 -> 25 [size =\"33707008\"]\n  14 -> 30 [size =\"33707008\"]\n  15 [size=\"60044800\", alpha=\"0.09\", expect_size=\"24017920\"] \n  15 -> 20 [size =\"24017920\"]\n  15 -> 23 [size =\"24017920\"]\n  15 -> 27 [size =\"24017920\"]\n  15 -> 28 [size =\"24017920\"]\n  16 [size=\"87208960\", alpha=\"0.00\", expect_size=\"34883584\"] \n  16 -> 24 [size =\"34883584\"]\n  16 -> 27 [size =\"34883584\"]\n  17 [size=\"109501440\", alpha=\"0.12\", expect_size=\"43800576\"] \n  17 -> 21 [size =\"43800576\"]\n  17 -> 27 [size =\"43800576\"]\n  17 -> 28 [size =\"43800576\"]\n  17 -> 29 [size =\"43800576\"]\n  18 [size=\"124833280\", alpha=\"0.01\", expect_size=\"49933312\"] \n  18 -> 23 [size =\"49933312\"]\n  18 -> 27 [size =\"49933312\"]\n  18 -> 28 [size =\"49933312\"]\n  18 -> 29 [size =\"49933312\"]\n  18 -> 30 [size =\"49933312\"]\n  18 -> 31 [size =\"49933312\"]\n  19 [size=\"32568320\", alpha=\"0.19\", expect_size=\"13027328\"] \n  19 -> 20 [size =\"13027328\"]\n  19 -> 21 [size =\"13027328\"]\n  19 -> 29 [size =\"13027328\"]\n  19 -> 30 [size =\"13027328\"]\n  19 -> 30 [size =\"13027328\"]\n  20 [size=\"58086400\", alpha=\"0.03\", expect_size=\"23234560\"] \n  20 -> 33 [size =\"23234560\"]\n  20 -> 36 [size =\"23234560\"]\n  20 -> 38 [size =\"23234560\"]\n  20 -> 39 [size =\"23234560\"]\n  21 [size=\"89423360\", alpha=\"0.01\", expect_size=\"35769344\"] \n  21 -> 38 [size =\"35769344\"]\n  21 -> 40 [size =\"35769344\"]\n  21 -> 41 [size =\"35769344\"]\n  22 [size=\"127239680\", alpha=\"0.18\", expect_size=\"50895872\"] \n  22 -> 32 [size =\"50895872\"]\n  22 -> 38 [size =\"50895872\"]\n  23 [size=\"110471680\", alpha=\"0.13\", expect_size=\"44188672\"] \n  23 -> 35 [size =\"44188672\"]\n  23 -> 39 [size =\"44188672\"]\n  24 [size=\"127580160\", alpha=\"0.03\", expect_size=\"51032064\"] \n  24 -> 33 [size =\"51032064\"]\n  24 -> 34 [size =\"51032064\"]\n  24 -> 36 [size =\"51032064\"]\n  24 -> 37 [size =\"51032064\"]\n  24 -> 38 [size =\"51032064\"]\n  24 -> 40 [size =\"51032064\"]\n  25 [size=\"57369600\", alpha=\"0.15\", expect_size=\"22947840\"] \n  25 -> 40 [size =\"22947840\"]\n  25 -> 41 [size =\"22947840\"]\n  26 [size=\"109017600\", alpha=\"0.01\", expect_size=\"43607040\"] \n  26 -> 36 [size =\"43607040\"]\n  26 -> 40 [size =\"43607040\"]\n  27 [size=\"110248960\", alpha=\"0.13\", expect_size=\"44099584\"] \n  27 -> 32 [size =\"44099584\"]\n  27 -> 36 [size =\"44099584\"]\n  27 -> 40 [size =\"44099584\"]\n  28 [size=\"64744960\", alpha=\"0.01\", expect_size=\"25897984\"] \n  28 -> 32 [size =\"25897984\"]\n  28 -> 36 [size =\"25897984\"]\n  28 -> 37 [size =\"25897984\"]\n  29 [size=\"71841280\", alpha=\"0.05\", expect_size=\"28736512\"] \n  29 -> 39 [size =\"28736512\"]\n  30 [size=\"68477440\", alpha=\"0.06\", expect_size=\"27390976\"] \n  30 -> 33 [size =\"27390976\"]\n  30 -> 36 [size =\"27390976\"]\n  30 -> 38 [size =\"27390976\"]\n  31 [size=\"83581440\", alpha=\"0.12\", expect_size=\"33432576\"] \n  31 -> 33 [size =\"33432576\"]\n  31 -> 37 [size =\"33432576\"]\n  31 -> 38 [size =\"33432576\"]\n  31 -> 41 [size =\"33432576\"]\n  32 [size=\"91010560\", alpha=\"0.18\", expect_size=\"36404224\"] \n  32 -> 45 [size =\"36404224\"]\n  32 -> 49 [size =\"36404224\"]\n  32 -> 50 [size =\"36404224\"]\n  33 [size=\"79137280\", alpha=\"0.05\", expect_size=\"31654912\"] \n  33 -> 49 [size =\"31654912\"]\n  33 -> 49 [size =\"31654912\"]\n  33 -> 50 [size =\"31654912\"]\n  34 [size=\"35502080\", alpha=\"0.04\", expect_size=\"14200832\"] \n  34 -> 42 [size =\"14200832\"]\n  34 -> 45 [size =\"14200832\"]\n  34 -> 47 [size =\"14200832\"]\n  34 -> 50 [size =\"14200832\"]\n  35 [size=\"55549440\", alpha=\"0.11\", expect_size=\"22219776\"] \n  35 -> 43 [size =\"22219776\"]\n  35 -> 45 [size =\"22219776\"]\n  35 -> 49 [size =\"22219776\"]\n  35 -> 50 [size =\"22219776\"]\n  36 [size=\"26519040\", alpha=\"0.10\", expect_size=\"10607616\"] \n  36 -> 42 [size =\"10607616\"]\n  36 -> 43 [size =\"10607616\"]\n  36 -> 46 [size =\"10607616\"]\n  36 -> 47 [size =\"10607616\"]\n  37 [size=\"31395840\", alpha=\"0.06\", expect_size=\"12558336\"] \n  37 -> 43 [size =\"12558336\"]\n  37 -> 46 [size =\"12558336\"]\n  37 -> 47 [size =\"12558336\"]\n  37 -> 48 [size =\"12558336\"]\n  38 [size=\"107609600\", alpha=\"0.01\", expect_size=\"43043840\"] \n  38 -> 43 [size =\"43043840\"]\n  38 -> 44 [size =\"43043840\"]\n  38 -> 45 [size =\"43043840\"]\n  38 -> 47 [size =\"43043840\"]\n  38 -> 49 [size =\"43043840\"]\n  39 [size=\"111718400\", alpha=\"0.19\", expect_size=\"44687360\"] \n  39 -> 42 [size =\"44687360\"]\n  39 -> 47 [size =\"44687360\"]\n  40 [size=\"25600000\", alpha=\"0.05\", expect_size=\"10240000\"] \n  40 -> 42 [size =\"10240000\"]\n  40 -> 43 [size =\"10240000\"]\n  40 -> 48 [size =\"10240000\"]\n  40 -> 49 [size =\"10240000\"]\n  40 -> 50 [size =\"10240000\"]\n  41 [size=\"60922880\", alpha=\"0.04\", expect_size=\"24369152\"] \n  41 -> 42 [size =\"24369152\"]\n  41 -> 43 [size =\"24369152\"]\n  41 -> 45 [size =\"24369152\"]\n  41 -> 46 [size =\"24369152\"]\n  41 -> 50 [size =\"24369152\"]\n  42 [size=\"130493440\", alpha=\"0.02\", expect_size=\"52197376\"] \n  43 [size=\"117178880\", alpha=\"0.16\", expect_size=\"46871552\"] \n  44 [size=\"26944000\", alpha=\"0.10\", expect_size=\"10777600\"] \n  45 [size=\"48916480\", alpha=\"0.12\", expect_size=\"19566592\"] \n  46 [size=\"112066560\", alpha=\"0.09\", expect_size=\"44826624\"] \n  47 [size=\"54568960\", alpha=\"0.04\", expect_size=\"21827584\"] \n  48 [size=\"90785280\", alpha=\"0.06\", expect_size=\"36314112\"] \n  49 [size=\"96517120\", alpha=\"0.19\", expect_size=\"38606848\"] \n  50 [size=\"91223040\", alpha=\"0.02\", expect_size=\"36489216\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.15.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"99130027\", alpha=\"0.06\", expect_size=\"29739008\"] \n  1 -> 4 [size =\"29739008\"]\n  1 -> 5 [size =\"29739008\"]\n  2 [size=\"129713493\", alpha=\"0.12\", expect_size=\"38914048\"] \n  2 -> 4 [size =\"38914048\"]\n  2 -> 6 [size =\"38914048\"]\n  3 [size=\"53951147\", alpha=\"0.12\", expect_size=\"16185344\"] \n  3 -> 5 [size =\"16185344\"]\n  4 [size=\"20469760\", alpha=\"0.09\", expect_size=\"6140928\"] \n  4 -> 7 [size =\"6140928\"]\n  5 [size=\"124726613\", alpha=\"0.12\", expect_size=\"37417984\"] \n  5 -> 8 [size =\"37417984\"]\n  6 [size=\"141209600\", alpha=\"0.12\", expect_size=\"42362880\"] \n  6 -> 8 [size =\"42362880\"]\n  7 [size=\"135854080\", alpha=\"0.05\", expect_size=\"40756224\"] \n  7 -> 9 [size =\"40756224\"]\n  7 -> 10 [size =\"40756224\"]\n  8 [size=\"168960000\", alpha=\"0.17\", expect_size=\"50688000\"] \n  8 -> 10 [size =\"50688000\"]\n  9 [size=\"145790293\", alpha=\"0.02\", expect_size=\"43737088\"] \n  9 -> 11 [size =\"43737088\"]\n  9 -> 12 [size =\"43737088\"]\n  9 -> 13 [size =\"43737088\"]\n  10 [size=\"100348587\", alpha=\"0.13\", expect_size=\"30104576\"] \n  10 -> 11 [size =\"30104576\"]\n  10 -> 13 [size =\"30104576\"]\n  11 [size=\"39591253\", alpha=\"0.17\", expect_size=\"11877376\"] \n  11 -> 14 [size =\"11877376\"]\n  11 -> 16 [size =\"11877376\"]\n  12 [size=\"85865813\", alpha=\"0.04\", expect_size=\"25759744\"] \n  12 -> 15 [size =\"25759744\"]\n  12 -> 16 [size =\"25759744\"]\n  13 [size=\"20688213\", alpha=\"0.01\", expect_size=\"6206464\"] \n  13 -> 15 [size =\"6206464\"]\n  14 [size=\"115828053\", alpha=\"0.02\", expect_size=\"34748416\"] \n  14 -> 18 [size =\"34748416\"]\n  15 [size=\"28337493\", alpha=\"0.14\", expect_size=\"8501248\"] \n  15 -> 17 [size =\"8501248\"]\n  16 [size=\"122313387\", alpha=\"0.18\", expect_size=\"36694016\"] \n  16 -> 17 [size =\"36694016\"]\n  16 -> 19 [size =\"36694016\"]\n  17 [size=\"58279253\", alpha=\"0.03\", expect_size=\"17483776\"] \n  17 -> 20 [size =\"17483776\"]\n  18 [size=\"95955627\", alpha=\"0.06\", expect_size=\"28786688\"] \n  18 -> 20 [size =\"28786688\"]\n  18 -> 21 [size =\"28786688\"]\n  19 [size=\"72103253\", alpha=\"0.07\", expect_size=\"21630976\"] \n  19 -> 22 [size =\"21630976\"]\n  20 [size=\"86033067\", alpha=\"0.15\", expect_size=\"25809920\"] \n  20 -> 23 [size =\"25809920\"]\n  20 -> 24 [size =\"25809920\"]\n  20 -> 25 [size =\"25809920\"]\n  21 [size=\"30409387\", alpha=\"0.15\", expect_size=\"9122816\"] \n  21 -> 23 [size =\"9122816\"]\n  21 -> 24 [size =\"9122816\"]\n  22 [size=\"165488640\", alpha=\"0.08\", expect_size=\"49646592\"] \n  22 -> 23 [size =\"49646592\"]\n  23 [size=\"39427413\", alpha=\"0.06\", expect_size=\"11828224\"] \n  23 -> 26 [size =\"11828224\"]\n  23 -> 27 [size =\"11828224\"]\n  24 [size=\"48203093\", alpha=\"0.05\", expect_size=\"14460928\"] \n  24 -> 26 [size =\"14460928\"]\n  25 [size=\"61470720\", alpha=\"0.17\", expect_size=\"18441216\"] \n  25 -> 26 [size =\"18441216\"]\n  26 [size=\"168663040\", alpha=\"0.05\", expect_size=\"50598912\"] \n  26 -> 28 [size =\"50598912\"]\n  26 -> 29 [size =\"50598912\"]\n  26 -> 30 [size =\"50598912\"]\n  27 [size=\"156347733\", alpha=\"0.08\", expect_size=\"46904320\"] \n  28 [size=\"22541653\", alpha=\"0.10\", expect_size=\"6762496\"] \n  28 -> 33 [size =\"6762496\"]\n  29 [size=\"67416747\", alpha=\"0.09\", expect_size=\"20225024\"] \n  29 -> 31 [size =\"20225024\"]\n  30 [size=\"119019520\", alpha=\"0.18\", expect_size=\"35705856\"] \n  30 -> 32 [size =\"35705856\"]\n  30 -> 33 [size =\"35705856\"]\n  31 [size=\"83063467\", alpha=\"0.10\", expect_size=\"24919040\"] \n  31 -> 34 [size =\"24919040\"]\n  31 -> 35 [size =\"24919040\"]\n  31 -> 36 [size =\"24919040\"]\n  32 [size=\"41198933\", alpha=\"0.10\", expect_size=\"12359680\"] \n  32 -> 34 [size =\"12359680\"]\n  32 -> 35 [size =\"12359680\"]\n  32 -> 36 [size =\"12359680\"]\n  33 [size=\"105666560\", alpha=\"0.11\", expect_size=\"31699968\"] \n  33 -> 35 [size =\"31699968\"]\n  34 [size=\"155658240\", alpha=\"0.05\", expect_size=\"46697472\"] \n  34 -> 37 [size =\"46697472\"]\n  34 -> 38 [size =\"46697472\"]\n  35 [size=\"36877653\", alpha=\"0.20\", expect_size=\"11063296\"] \n  35 -> 37 [size =\"11063296\"]\n  35 -> 39 [size =\"11063296\"]\n  36 [size=\"171154773\", alpha=\"0.08\", expect_size=\"51346432\"] \n  36 -> 39 [size =\"51346432\"]\n  37 [size=\"53080747\", alpha=\"0.01\", expect_size=\"15924224\"] \n  37 -> 40 [size =\"15924224\"]\n  38 [size=\"115606187\", alpha=\"0.05\", expect_size=\"34681856\"] \n  38 -> 40 [size =\"34681856\"]\n  39 [size=\"38362453\", alpha=\"0.15\", expect_size=\"11508736\"] \n  39 -> 41 [size =\"11508736\"]\n  40 [size=\"106946560\", alpha=\"0.14\", expect_size=\"32083968\"] \n  40 -> 42 [size =\"32083968\"]\n  40 -> 43 [size =\"32083968\"]\n  40 -> 44 [size =\"32083968\"]\n  41 [size=\"89661440\", alpha=\"0.15\", expect_size=\"26898432\"] \n  41 -> 43 [size =\"26898432\"]\n  42 [size=\"165911893\", alpha=\"0.14\", expect_size=\"49773568\"] \n  42 -> 45 [size =\"49773568\"]\n  42 -> 46 [size =\"49773568\"]\n  43 [size=\"89514667\", alpha=\"0.17\", expect_size=\"26854400\"] \n  44 [size=\"20968107\", alpha=\"0.03\", expect_size=\"6290432\"] \n  44 -> 45 [size =\"6290432\"]\n  44 -> 46 [size =\"6290432\"]\n  45 [size=\"58624000\", alpha=\"0.15\", expect_size=\"17587200\"] \n  45 -> 47 [size =\"17587200\"]\n  45 -> 49 [size =\"17587200\"]\n  46 [size=\"56064000\", alpha=\"0.06\", expect_size=\"16819200\"] \n  46 -> 47 [size =\"16819200\"]\n  46 -> 48 [size =\"16819200\"]\n  47 [size=\"118121813\", alpha=\"0.14\", expect_size=\"35436544\"] \n  47 -> 50 [size =\"35436544\"]\n  48 [size=\"128317440\", alpha=\"0.04\", expect_size=\"38495232\"] \n  49 [size=\"165137067\", alpha=\"0.19\", expect_size=\"49541120\"] \n  49 -> 50 [size =\"49541120\"]\n  50 [size=\"125917867\", alpha=\"0.08\", expect_size=\"37775360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.16.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53332480\", alpha=\"0.02\", expect_size=\"21332992\"] \n  1 -> 5 [size =\"21332992\"]\n  1 -> 6 [size =\"21332992\"]\n  2 [size=\"79526400\", alpha=\"0.03\", expect_size=\"31810560\"] \n  3 [size=\"102131200\", alpha=\"0.04\", expect_size=\"40852480\"] \n  3 -> 6 [size =\"40852480\"]\n  4 [size=\"87459840\", alpha=\"0.01\", expect_size=\"34983936\"] \n  5 [size=\"15523840\", alpha=\"0.16\", expect_size=\"6209536\"] \n  5 -> 7 [size =\"6209536\"]\n  5 -> 8 [size =\"6209536\"]\n  6 [size=\"16199680\", alpha=\"0.09\", expect_size=\"6479872\"] \n  7 [size=\"83548160\", alpha=\"0.17\", expect_size=\"33419264\"] \n  7 -> 10 [size =\"33419264\"]\n  8 [size=\"74065920\", alpha=\"0.10\", expect_size=\"29626368\"] \n  8 -> 9 [size =\"29626368\"]\n  8 -> 11 [size =\"29626368\"]\n  9 [size=\"74181120\", alpha=\"0.02\", expect_size=\"29672448\"] \n  10 [size=\"103961600\", alpha=\"0.12\", expect_size=\"41584640\"] \n  10 -> 12 [size =\"41584640\"]\n  11 [size=\"83814400\", alpha=\"0.09\", expect_size=\"33525760\"] \n  12 [size=\"95936000\", alpha=\"0.10\", expect_size=\"38374400\"] \n  12 -> 13 [size =\"38374400\"]\n  12 -> 14 [size =\"38374400\"]\n  12 -> 15 [size =\"38374400\"]\n  12 -> 16 [size =\"38374400\"]\n  13 [size=\"116057600\", alpha=\"0.19\", expect_size=\"46423040\"] \n  13 -> 17 [size =\"46423040\"]\n  13 -> 19 [size =\"46423040\"]\n  14 [size=\"19307520\", alpha=\"0.12\", expect_size=\"7723008\"] \n  14 -> 18 [size =\"7723008\"]\n  15 [size=\"25697280\", alpha=\"0.10\", expect_size=\"10278912\"] \n  16 [size=\"119211520\", alpha=\"0.06\", expect_size=\"47684608\"] \n  16 -> 17 [size =\"47684608\"]\n  16 -> 19 [size =\"47684608\"]\n  17 [size=\"57036800\", alpha=\"0.08\", expect_size=\"22814720\"] \n  17 -> 20 [size =\"22814720\"]\n  18 [size=\"38551040\", alpha=\"0.18\", expect_size=\"15420416\"] \n  18 -> 20 [size =\"15420416\"]\n  18 -> 21 [size =\"15420416\"]\n  18 -> 22 [size =\"15420416\"]\n  19 [size=\"96020480\", alpha=\"0.02\", expect_size=\"38408192\"] \n  19 -> 22 [size =\"38408192\"]\n  20 [size=\"108264960\", alpha=\"0.08\", expect_size=\"43305984\"] \n  20 -> 24 [size =\"43305984\"]\n  21 [size=\"59604480\", alpha=\"0.00\", expect_size=\"23841792\"] \n  22 [size=\"115107840\", alpha=\"0.04\", expect_size=\"46043136\"] \n  22 -> 23 [size =\"46043136\"]\n  23 [size=\"55162880\", alpha=\"0.02\", expect_size=\"22065152\"] \n  24 [size=\"50406400\", alpha=\"0.14\", expect_size=\"20162560\"] \n  24 -> 25 [size =\"20162560\"]\n  24 -> 26 [size =\"20162560\"]\n  25 [size=\"121436160\", alpha=\"0.06\", expect_size=\"48574464\"] \n  25 -> 27 [size =\"48574464\"]\n  26 [size=\"62123520\", alpha=\"0.18\", expect_size=\"24849408\"] \n  26 -> 28 [size =\"24849408\"]\n  26 -> 29 [size =\"24849408\"]\n  26 -> 30 [size =\"24849408\"]\n  27 [size=\"100093440\", alpha=\"0.02\", expect_size=\"40037376\"] \n  28 [size=\"28779520\", alpha=\"0.17\", expect_size=\"11511808\"] \n  28 -> 31 [size =\"11511808\"]\n  29 [size=\"15984640\", alpha=\"0.02\", expect_size=\"6393856\"] \n  29 -> 31 [size =\"6393856\"]\n  29 -> 32 [size =\"6393856\"]\n  30 [size=\"27678720\", alpha=\"0.02\", expect_size=\"11071488\"] \n  30 -> 32 [size =\"11071488\"]\n  31 [size=\"72412160\", alpha=\"0.14\", expect_size=\"28964864\"] \n  31 -> 35 [size =\"28964864\"]\n  32 [size=\"72445440\", alpha=\"0.01\", expect_size=\"28978176\"] \n  32 -> 33 [size =\"28978176\"]\n  32 -> 34 [size =\"28978176\"]\n  33 [size=\"94202880\", alpha=\"0.05\", expect_size=\"37681152\"] \n  34 [size=\"108741120\", alpha=\"0.10\", expect_size=\"43496448\"] \n  34 -> 36 [size =\"43496448\"]\n  35 [size=\"72450560\", alpha=\"0.17\", expect_size=\"28980224\"] \n  35 -> 36 [size =\"28980224\"]\n  36 [size=\"105717760\", alpha=\"0.02\", expect_size=\"42287104\"] \n  36 -> 37 [size =\"42287104\"]\n  36 -> 38 [size =\"42287104\"]\n  36 -> 39 [size =\"42287104\"]\n  37 [size=\"93665280\", alpha=\"0.14\", expect_size=\"37466112\"] \n  38 [size=\"106741760\", alpha=\"0.11\", expect_size=\"42696704\"] \n  38 -> 42 [size =\"42696704\"]\n  39 [size=\"87936000\", alpha=\"0.02\", expect_size=\"35174400\"] \n  39 -> 40 [size =\"35174400\"]\n  39 -> 41 [size =\"35174400\"]\n  40 [size=\"98327040\", alpha=\"0.09\", expect_size=\"39330816\"] \n  40 -> 43 [size =\"39330816\"]\n  41 [size=\"110804480\", alpha=\"0.04\", expect_size=\"44321792\"] \n  42 [size=\"78113280\", alpha=\"0.16\", expect_size=\"31245312\"] \n  42 -> 44 [size =\"31245312\"]\n  43 [size=\"83079680\", alpha=\"0.15\", expect_size=\"33231872\"] \n  43 -> 45 [size =\"33231872\"]\n  44 [size=\"110696960\", alpha=\"0.01\", expect_size=\"44278784\"] \n  45 [size=\"49195520\", alpha=\"0.04\", expect_size=\"19678208\"] \n  45 -> 46 [size =\"19678208\"]\n  45 -> 47 [size =\"19678208\"]\n  46 [size=\"29132800\", alpha=\"0.17\", expect_size=\"11653120\"] \n  46 -> 48 [size =\"11653120\"]\n  46 -> 49 [size =\"11653120\"]\n  47 [size=\"38650880\", alpha=\"0.04\", expect_size=\"15460352\"] \n  47 -> 50 [size =\"15460352\"]\n  48 [size=\"121679360\", alpha=\"0.13\", expect_size=\"48671744\"] \n  49 [size=\"67737600\", alpha=\"0.04\", expect_size=\"27095040\"] \n  50 [size=\"77698560\", alpha=\"0.16\", expect_size=\"31079424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.17.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91438080\", alpha=\"0.11\", expect_size=\"36575232\"] \n  1 -> 6 [size =\"36575232\"]\n  1 -> 9 [size =\"36575232\"]\n  1 -> 12 [size =\"36575232\"]\n  2 [size=\"124267520\", alpha=\"0.19\", expect_size=\"49707008\"] \n  2 -> 5 [size =\"49707008\"]\n  2 -> 6 [size =\"49707008\"]\n  2 -> 8 [size =\"49707008\"]\n  2 -> 12 [size =\"49707008\"]\n  3 [size=\"84974080\", alpha=\"0.11\", expect_size=\"33989632\"] \n  3 -> 5 [size =\"33989632\"]\n  3 -> 8 [size =\"33989632\"]\n  4 [size=\"86420480\", alpha=\"0.08\", expect_size=\"34568192\"] \n  4 -> 6 [size =\"34568192\"]\n  4 -> 7 [size =\"34568192\"]\n  4 -> 9 [size =\"34568192\"]\n  4 -> 10 [size =\"34568192\"]\n  4 -> 11 [size =\"34568192\"]\n  5 [size=\"31997440\", alpha=\"0.00\", expect_size=\"12798976\"] \n  5 -> 16 [size =\"12798976\"]\n  6 [size=\"74129920\", alpha=\"0.10\", expect_size=\"29651968\"] \n  6 -> 15 [size =\"29651968\"]\n  6 -> 16 [size =\"29651968\"]\n  7 [size=\"29637120\", alpha=\"0.07\", expect_size=\"11854848\"] \n  7 -> 16 [size =\"11854848\"]\n  8 [size=\"116712960\", alpha=\"0.18\", expect_size=\"46685184\"] \n  8 -> 17 [size =\"46685184\"]\n  9 [size=\"127797760\", alpha=\"0.05\", expect_size=\"51119104\"] \n  9 -> 13 [size =\"51119104\"]\n  9 -> 14 [size =\"51119104\"]\n  9 -> 15 [size =\"51119104\"]\n  9 -> 16 [size =\"51119104\"]\n  9 -> 17 [size =\"51119104\"]\n  9 -> 18 [size =\"51119104\"]\n  10 [size=\"113904640\", alpha=\"0.02\", expect_size=\"45561856\"] \n  10 -> 13 [size =\"45561856\"]\n  10 -> 17 [size =\"45561856\"]\n  10 -> 18 [size =\"45561856\"]\n  11 [size=\"102850560\", alpha=\"0.20\", expect_size=\"41140224\"] \n  11 -> 13 [size =\"41140224\"]\n  12 [size=\"49123840\", alpha=\"0.15\", expect_size=\"19649536\"] \n  12 -> 13 [size =\"19649536\"]\n  12 -> 17 [size =\"19649536\"]\n  13 [size=\"43486720\", alpha=\"0.09\", expect_size=\"17394688\"] \n  13 -> 24 [size =\"17394688\"]\n  13 -> 27 [size =\"17394688\"]\n  14 [size=\"107496960\", alpha=\"0.11\", expect_size=\"42998784\"] \n  14 -> 19 [size =\"42998784\"]\n  14 -> 24 [size =\"42998784\"]\n  15 [size=\"34140160\", alpha=\"0.11\", expect_size=\"13656064\"] \n  15 -> 19 [size =\"13656064\"]\n  15 -> 20 [size =\"13656064\"]\n  15 -> 22 [size =\"13656064\"]\n  15 -> 23 [size =\"13656064\"]\n  15 -> 24 [size =\"13656064\"]\n  15 -> 25 [size =\"13656064\"]\n  15 -> 27 [size =\"13656064\"]\n  16 [size=\"34245120\", alpha=\"0.17\", expect_size=\"13698048\"] \n  16 -> 20 [size =\"13698048\"]\n  16 -> 25 [size =\"13698048\"]\n  16 -> 26 [size =\"13698048\"]\n  17 [size=\"92229120\", alpha=\"0.11\", expect_size=\"36891648\"] \n  17 -> 20 [size =\"36891648\"]\n  17 -> 21 [size =\"36891648\"]\n  17 -> 22 [size =\"36891648\"]\n  17 -> 23 [size =\"36891648\"]\n  17 -> 25 [size =\"36891648\"]\n  18 [size=\"18114560\", alpha=\"0.16\", expect_size=\"7245824\"] \n  18 -> 20 [size =\"7245824\"]\n  18 -> 23 [size =\"7245824\"]\n  18 -> 24 [size =\"7245824\"]\n  18 -> 25 [size =\"7245824\"]\n  18 -> 27 [size =\"7245824\"]\n  19 [size=\"123036160\", alpha=\"0.16\", expect_size=\"49214464\"] \n  19 -> 32 [size =\"49214464\"]\n  19 -> 33 [size =\"49214464\"]\n  19 -> 33 [size =\"49214464\"]\n  20 [size=\"34524160\", alpha=\"0.13\", expect_size=\"13809664\"] \n  20 -> 33 [size =\"13809664\"]\n  20 -> 35 [size =\"13809664\"]\n  20 -> 36 [size =\"13809664\"]\n  21 [size=\"49105920\", alpha=\"0.03\", expect_size=\"19642368\"] \n  21 -> 29 [size =\"19642368\"]\n  21 -> 31 [size =\"19642368\"]\n  21 -> 32 [size =\"19642368\"]\n  21 -> 34 [size =\"19642368\"]\n  22 [size=\"47526400\", alpha=\"0.13\", expect_size=\"19010560\"] \n  22 -> 29 [size =\"19010560\"]\n  22 -> 32 [size =\"19010560\"]\n  22 -> 36 [size =\"19010560\"]\n  23 [size=\"16437760\", alpha=\"0.14\", expect_size=\"6575104\"] \n  23 -> 29 [size =\"6575104\"]\n  23 -> 35 [size =\"6575104\"]\n  24 [size=\"67804160\", alpha=\"0.08\", expect_size=\"27121664\"] \n  24 -> 28 [size =\"27121664\"]\n  24 -> 30 [size =\"27121664\"]\n  24 -> 32 [size =\"27121664\"]\n  24 -> 33 [size =\"27121664\"]\n  25 [size=\"13703680\", alpha=\"0.06\", expect_size=\"5481472\"] \n  25 -> 32 [size =\"5481472\"]\n  25 -> 33 [size =\"5481472\"]\n  25 -> 35 [size =\"5481472\"]\n  26 [size=\"76569600\", alpha=\"0.13\", expect_size=\"30627840\"] \n  26 -> 28 [size =\"30627840\"]\n  26 -> 29 [size =\"30627840\"]\n  26 -> 31 [size =\"30627840\"]\n  27 [size=\"58301440\", alpha=\"0.03\", expect_size=\"23320576\"] \n  27 -> 28 [size =\"23320576\"]\n  27 -> 32 [size =\"23320576\"]\n  27 -> 33 [size =\"23320576\"]\n  27 -> 34 [size =\"23320576\"]\n  27 -> 35 [size =\"23320576\"]\n  28 [size=\"120532480\", alpha=\"0.11\", expect_size=\"48212992\"] \n  28 -> 41 [size =\"48212992\"]\n  29 [size=\"96391680\", alpha=\"0.19\", expect_size=\"38556672\"] \n  29 -> 40 [size =\"38556672\"]\n  30 [size=\"70617600\", alpha=\"0.03\", expect_size=\"28247040\"] \n  30 -> 37 [size =\"28247040\"]\n  30 -> 38 [size =\"28247040\"]\n  30 -> 40 [size =\"28247040\"]\n  30 -> 41 [size =\"28247040\"]\n  30 -> 43 [size =\"28247040\"]\n  31 [size=\"28610560\", alpha=\"0.03\", expect_size=\"11444224\"] \n  31 -> 41 [size =\"11444224\"]\n  31 -> 43 [size =\"11444224\"]\n  31 -> 44 [size =\"11444224\"]\n  32 [size=\"48701440\", alpha=\"0.09\", expect_size=\"19480576\"] \n  32 -> 40 [size =\"19480576\"]\n  32 -> 41 [size =\"19480576\"]\n  32 -> 43 [size =\"19480576\"]\n  33 [size=\"124090880\", alpha=\"0.19\", expect_size=\"49636352\"] \n  33 -> 39 [size =\"49636352\"]\n  33 -> 41 [size =\"49636352\"]\n  33 -> 42 [size =\"49636352\"]\n  34 [size=\"90716160\", alpha=\"0.06\", expect_size=\"36286464\"] \n  34 -> 37 [size =\"36286464\"]\n  34 -> 39 [size =\"36286464\"]\n  34 -> 42 [size =\"36286464\"]\n  35 [size=\"21890560\", alpha=\"0.17\", expect_size=\"8756224\"] \n  35 -> 41 [size =\"8756224\"]\n  35 -> 42 [size =\"8756224\"]\n  35 -> 42 [size =\"8756224\"]\n  35 -> 45 [size =\"8756224\"]\n  36 [size=\"54469120\", alpha=\"0.11\", expect_size=\"21787648\"] \n  36 -> 37 [size =\"21787648\"]\n  36 -> 39 [size =\"21787648\"]\n  36 -> 42 [size =\"21787648\"]\n  36 -> 43 [size =\"21787648\"]\n  36 -> 44 [size =\"21787648\"]\n  37 [size=\"13547520\", alpha=\"0.18\", expect_size=\"5419008\"] \n  37 -> 50 [size =\"5419008\"]\n  38 [size=\"33620480\", alpha=\"0.07\", expect_size=\"13448192\"] \n  38 -> 47 [size =\"13448192\"]\n  38 -> 49 [size =\"13448192\"]\n  39 [size=\"100331520\", alpha=\"0.14\", expect_size=\"40132608\"] \n  40 [size=\"92444160\", alpha=\"0.04\", expect_size=\"36977664\"] \n  40 -> 47 [size =\"36977664\"]\n  40 -> 50 [size =\"36977664\"]\n  41 [size=\"110750720\", alpha=\"0.01\", expect_size=\"44300288\"] \n  41 -> 50 [size =\"44300288\"]\n  42 [size=\"127037440\", alpha=\"0.04\", expect_size=\"50814976\"] \n  42 -> 46 [size =\"50814976\"]\n  42 -> 48 [size =\"50814976\"]\n  43 [size=\"59351040\", alpha=\"0.07\", expect_size=\"23740416\"] \n  43 -> 47 [size =\"23740416\"]\n  43 -> 48 [size =\"23740416\"]\n  43 -> 49 [size =\"23740416\"]\n  44 [size=\"56035840\", alpha=\"0.19\", expect_size=\"22414336\"] \n  44 -> 47 [size =\"22414336\"]\n  44 -> 48 [size =\"22414336\"]\n  44 -> 49 [size =\"22414336\"]\n  44 -> 50 [size =\"22414336\"]\n  45 [size=\"93521920\", alpha=\"0.11\", expect_size=\"37408768\"] \n  45 -> 46 [size =\"37408768\"]\n  45 -> 48 [size =\"37408768\"]\n  45 -> 49 [size =\"37408768\"]\n  45 -> 50 [size =\"37408768\"]\n  46 [size=\"74874880\", alpha=\"0.15\", expect_size=\"29949952\"] \n  47 [size=\"21235200\", alpha=\"0.06\", expect_size=\"8494080\"] \n  48 [size=\"129692160\", alpha=\"0.15\", expect_size=\"51876864\"] \n  49 [size=\"51356160\", alpha=\"0.18\", expect_size=\"20542464\"] \n  50 [size=\"14126080\", alpha=\"0.11\", expect_size=\"5650432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.18.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"18664107\", alpha=\"0.05\", expect_size=\"5599232\"] \n  1 -> 2 [size =\"5599232\"]\n  2 [size=\"82769920\", alpha=\"0.14\", expect_size=\"24830976\"] \n  2 -> 3 [size =\"24830976\"]\n  3 [size=\"174049280\", alpha=\"0.08\", expect_size=\"52214784\"] \n  3 -> 4 [size =\"52214784\"]\n  4 [size=\"23258453\", alpha=\"0.00\", expect_size=\"6977536\"] \n  4 -> 5 [size =\"6977536\"]\n  5 [size=\"156590080\", alpha=\"0.02\", expect_size=\"46977024\"] \n  5 -> 6 [size =\"46977024\"]\n  6 [size=\"135355733\", alpha=\"0.19\", expect_size=\"40606720\"] \n  6 -> 7 [size =\"40606720\"]\n  7 [size=\"54715733\", alpha=\"0.16\", expect_size=\"16414720\"] \n  7 -> 8 [size =\"16414720\"]\n  8 [size=\"85251413\", alpha=\"0.14\", expect_size=\"25575424\"] \n  8 -> 9 [size =\"25575424\"]\n  9 [size=\"154565973\", alpha=\"0.16\", expect_size=\"46369792\"] \n  9 -> 10 [size =\"46369792\"]\n  10 [size=\"137724587\", alpha=\"0.10\", expect_size=\"41317376\"] \n  10 -> 11 [size =\"41317376\"]\n  11 [size=\"82087253\", alpha=\"0.17\", expect_size=\"24626176\"] \n  11 -> 12 [size =\"24626176\"]\n  12 [size=\"120241493\", alpha=\"0.04\", expect_size=\"36072448\"] \n  12 -> 13 [size =\"36072448\"]\n  13 [size=\"69608107\", alpha=\"0.04\", expect_size=\"20882432\"] \n  13 -> 14 [size =\"20882432\"]\n  14 [size=\"136147627\", alpha=\"0.01\", expect_size=\"40844288\"] \n  14 -> 15 [size =\"40844288\"]\n  15 [size=\"139871573\", alpha=\"0.06\", expect_size=\"41961472\"] \n  15 -> 16 [size =\"41961472\"]\n  16 [size=\"153439573\", alpha=\"0.04\", expect_size=\"46031872\"] \n  16 -> 17 [size =\"46031872\"]\n  17 [size=\"147155627\", alpha=\"0.10\", expect_size=\"44146688\"] \n  17 -> 18 [size =\"44146688\"]\n  18 [size=\"116121600\", alpha=\"0.04\", expect_size=\"34836480\"] \n  18 -> 19 [size =\"34836480\"]\n  19 [size=\"70959787\", alpha=\"0.09\", expect_size=\"21287936\"] \n  19 -> 20 [size =\"21287936\"]\n  20 [size=\"39164587\", alpha=\"0.14\", expect_size=\"11749376\"] \n  20 -> 21 [size =\"11749376\"]\n  21 [size=\"119156053\", alpha=\"0.20\", expect_size=\"35746816\"] \n  21 -> 22 [size =\"35746816\"]\n  22 [size=\"94764373\", alpha=\"0.14\", expect_size=\"28429312\"] \n  22 -> 23 [size =\"28429312\"]\n  23 [size=\"129822720\", alpha=\"0.08\", expect_size=\"38946816\"] \n  23 -> 24 [size =\"38946816\"]\n  24 [size=\"159283200\", alpha=\"0.02\", expect_size=\"47784960\"] \n  24 -> 25 [size =\"47784960\"]\n  25 [size=\"163744427\", alpha=\"0.15\", expect_size=\"49123328\"] \n  25 -> 26 [size =\"49123328\"]\n  26 [size=\"51520853\", alpha=\"0.02\", expect_size=\"15456256\"] \n  26 -> 27 [size =\"15456256\"]\n  27 [size=\"83148800\", alpha=\"0.14\", expect_size=\"24944640\"] \n  27 -> 28 [size =\"24944640\"]\n  28 [size=\"164969813\", alpha=\"0.15\", expect_size=\"49490944\"] \n  28 -> 29 [size =\"49490944\"]\n  29 [size=\"38795947\", alpha=\"0.13\", expect_size=\"11638784\"] \n  29 -> 30 [size =\"11638784\"]\n  30 [size=\"107670187\", alpha=\"0.06\", expect_size=\"32301056\"] \n  30 -> 31 [size =\"32301056\"]\n  31 [size=\"62764373\", alpha=\"0.08\", expect_size=\"18829312\"] \n  31 -> 32 [size =\"18829312\"]\n  32 [size=\"62559573\", alpha=\"0.03\", expect_size=\"18767872\"] \n  32 -> 33 [size =\"18767872\"]\n  33 [size=\"172346027\", alpha=\"0.04\", expect_size=\"51703808\"] \n  33 -> 34 [size =\"51703808\"]\n  34 [size=\"76844373\", alpha=\"0.00\", expect_size=\"23053312\"] \n  34 -> 35 [size =\"23053312\"]\n  35 [size=\"96406187\", alpha=\"0.12\", expect_size=\"28921856\"] \n  35 -> 36 [size =\"28921856\"]\n  36 [size=\"55579307\", alpha=\"0.01\", expect_size=\"16673792\"] \n  36 -> 37 [size =\"16673792\"]\n  37 [size=\"72236373\", alpha=\"0.07\", expect_size=\"21670912\"] \n  37 -> 38 [size =\"21670912\"]\n  38 [size=\"26337280\", alpha=\"0.05\", expect_size=\"7901184\"] \n  38 -> 39 [size =\"7901184\"]\n  39 [size=\"142940160\", alpha=\"0.11\", expect_size=\"42882048\"] \n  39 -> 40 [size =\"42882048\"]\n  40 [size=\"87278933\", alpha=\"0.18\", expect_size=\"26183680\"] \n  40 -> 41 [size =\"26183680\"]\n  41 [size=\"136888320\", alpha=\"0.19\", expect_size=\"41066496\"] \n  41 -> 42 [size =\"41066496\"]\n  42 [size=\"41809920\", alpha=\"0.10\", expect_size=\"12542976\"] \n  42 -> 43 [size =\"12542976\"]\n  43 [size=\"62095360\", alpha=\"0.15\", expect_size=\"18628608\"] \n  43 -> 44 [size =\"18628608\"]\n  44 [size=\"92590080\", alpha=\"0.18\", expect_size=\"27777024\"] \n  44 -> 45 [size =\"27777024\"]\n  45 [size=\"94682453\", alpha=\"0.19\", expect_size=\"28404736\"] \n  45 -> 46 [size =\"28404736\"]\n  46 [size=\"33481387\", alpha=\"0.05\", expect_size=\"10044416\"] \n  46 -> 47 [size =\"10044416\"]\n  47 [size=\"44957013\", alpha=\"0.19\", expect_size=\"13487104\"] \n  47 -> 48 [size =\"13487104\"]\n  48 [size=\"101498880\", alpha=\"0.12\", expect_size=\"30449664\"] \n  48 -> 49 [size =\"30449664\"]\n  49 [size=\"144469333\", alpha=\"0.08\", expect_size=\"43340800\"] \n  49 -> 50 [size =\"43340800\"]\n  50 [size=\"70068907\", alpha=\"0.15\", expect_size=\"21020672\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.19.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"31303680\", alpha=\"0.10\", expect_size=\"9391104\"] \n  1 -> 6 [size =\"9391104\"]\n  1 -> 7 [size =\"9391104\"]\n  1 -> 9 [size =\"9391104\"]\n  1 -> 11 [size =\"9391104\"]\n  2 [size=\"80534187\", alpha=\"0.06\", expect_size=\"24160256\"] \n  2 -> 6 [size =\"24160256\"]\n  2 -> 7 [size =\"24160256\"]\n  2 -> 9 [size =\"24160256\"]\n  2 -> 11 [size =\"24160256\"]\n  3 [size=\"122767360\", alpha=\"0.07\", expect_size=\"36830208\"] \n  3 -> 7 [size =\"36830208\"]\n  3 -> 8 [size =\"36830208\"]\n  3 -> 9 [size =\"36830208\"]\n  3 -> 10 [size =\"36830208\"]\n  3 -> 11 [size =\"36830208\"]\n  4 [size=\"43840853\", alpha=\"0.06\", expect_size=\"13152256\"] \n  4 -> 6 [size =\"13152256\"]\n  4 -> 11 [size =\"13152256\"]\n  5 [size=\"62487893\", alpha=\"0.17\", expect_size=\"18746368\"] \n  5 -> 6 [size =\"18746368\"]\n  5 -> 7 [size =\"18746368\"]\n  5 -> 8 [size =\"18746368\"]\n  5 -> 9 [size =\"18746368\"]\n  6 [size=\"65037653\", alpha=\"0.01\", expect_size=\"19511296\"] \n  6 -> 13 [size =\"19511296\"]\n  6 -> 14 [size =\"19511296\"]\n  6 -> 17 [size =\"19511296\"]\n  7 [size=\"21828267\", alpha=\"0.05\", expect_size=\"6548480\"] \n  7 -> 12 [size =\"6548480\"]\n  7 -> 13 [size =\"6548480\"]\n  7 -> 14 [size =\"6548480\"]\n  8 [size=\"100792320\", alpha=\"0.05\", expect_size=\"30237696\"] \n  8 -> 12 [size =\"30237696\"]\n  8 -> 13 [size =\"30237696\"]\n  8 -> 14 [size =\"30237696\"]\n  8 -> 15 [size =\"30237696\"]\n  8 -> 18 [size =\"30237696\"]\n  9 [size=\"159115947\", alpha=\"0.19\", expect_size=\"47734784\"] \n  9 -> 12 [size =\"47734784\"]\n  9 -> 13 [size =\"47734784\"]\n  9 -> 14 [size =\"47734784\"]\n  9 -> 17 [size =\"47734784\"]\n  9 -> 18 [size =\"47734784\"]\n  10 [size=\"19496960\", alpha=\"0.06\", expect_size=\"5849088\"] \n  10 -> 14 [size =\"5849088\"]\n  10 -> 17 [size =\"5849088\"]\n  11 [size=\"73574400\", alpha=\"0.13\", expect_size=\"22072320\"] \n  11 -> 12 [size =\"22072320\"]\n  11 -> 13 [size =\"22072320\"]\n  11 -> 14 [size =\"22072320\"]\n  11 -> 16 [size =\"22072320\"]\n  12 [size=\"149005653\", alpha=\"0.04\", expect_size=\"44701696\"] \n  12 -> 19 [size =\"44701696\"]\n  12 -> 22 [size =\"44701696\"]\n  12 -> 23 [size =\"44701696\"]\n  12 -> 25 [size =\"44701696\"]\n  12 -> 25 [size =\"44701696\"]\n  13 [size=\"41308160\", alpha=\"0.02\", expect_size=\"12392448\"] \n  13 -> 19 [size =\"12392448\"]\n  13 -> 22 [size =\"12392448\"]\n  13 -> 23 [size =\"12392448\"]\n  13 -> 24 [size =\"12392448\"]\n  14 [size=\"95795200\", alpha=\"0.15\", expect_size=\"28738560\"] \n  14 -> 22 [size =\"28738560\"]\n  14 -> 22 [size =\"28738560\"]\n  15 [size=\"143841280\", alpha=\"0.10\", expect_size=\"43152384\"] \n  15 -> 19 [size =\"43152384\"]\n  15 -> 24 [size =\"43152384\"]\n  15 -> 25 [size =\"43152384\"]\n  16 [size=\"116466347\", alpha=\"0.18\", expect_size=\"34939904\"] \n  16 -> 20 [size =\"34939904\"]\n  16 -> 24 [size =\"34939904\"]\n  16 -> 25 [size =\"34939904\"]\n  17 [size=\"124979200\", alpha=\"0.01\", expect_size=\"37493760\"] \n  17 -> 19 [size =\"37493760\"]\n  17 -> 22 [size =\"37493760\"]\n  17 -> 24 [size =\"37493760\"]\n  17 -> 25 [size =\"37493760\"]\n  18 [size=\"163430400\", alpha=\"0.08\", expect_size=\"49029120\"] \n  18 -> 19 [size =\"49029120\"]\n  18 -> 20 [size =\"49029120\"]\n  18 -> 21 [size =\"49029120\"]\n  18 -> 22 [size =\"49029120\"]\n  18 -> 25 [size =\"49029120\"]\n  19 [size=\"48786773\", alpha=\"0.07\", expect_size=\"14636032\"] \n  19 -> 26 [size =\"14636032\"]\n  19 -> 27 [size =\"14636032\"]\n  19 -> 29 [size =\"14636032\"]\n  19 -> 30 [size =\"14636032\"]\n  20 [size=\"38242987\", alpha=\"0.01\", expect_size=\"11472896\"] \n  20 -> 27 [size =\"11472896\"]\n  20 -> 28 [size =\"11472896\"]\n  20 -> 29 [size =\"11472896\"]\n  20 -> 30 [size =\"11472896\"]\n  21 [size=\"82698240\", alpha=\"0.16\", expect_size=\"24809472\"] \n  21 -> 26 [size =\"24809472\"]\n  21 -> 27 [size =\"24809472\"]\n  21 -> 29 [size =\"24809472\"]\n  21 -> 30 [size =\"24809472\"]\n  22 [size=\"30057813\", alpha=\"0.20\", expect_size=\"9017344\"] \n  22 -> 27 [size =\"9017344\"]\n  22 -> 30 [size =\"9017344\"]\n  23 [size=\"65058133\", alpha=\"0.17\", expect_size=\"19517440\"] \n  23 -> 26 [size =\"19517440\"]\n  23 -> 28 [size =\"19517440\"]\n  23 -> 30 [size =\"19517440\"]\n  24 [size=\"81397760\", alpha=\"0.17\", expect_size=\"24419328\"] \n  24 -> 29 [size =\"24419328\"]\n  24 -> 30 [size =\"24419328\"]\n  25 [size=\"43001173\", alpha=\"0.03\", expect_size=\"12900352\"] \n  25 -> 26 [size =\"12900352\"]\n  25 -> 27 [size =\"12900352\"]\n  25 -> 29 [size =\"12900352\"]\n  25 -> 30 [size =\"12900352\"]\n  26 [size=\"117807787\", alpha=\"0.15\", expect_size=\"35342336\"] \n  26 -> 32 [size =\"35342336\"]\n  26 -> 35 [size =\"35342336\"]\n  26 -> 37 [size =\"35342336\"]\n  27 [size=\"100300800\", alpha=\"0.08\", expect_size=\"30090240\"] \n  27 -> 32 [size =\"30090240\"]\n  27 -> 34 [size =\"30090240\"]\n  27 -> 36 [size =\"30090240\"]\n  27 -> 37 [size =\"30090240\"]\n  28 [size=\"107694080\", alpha=\"0.11\", expect_size=\"32308224\"] \n  28 -> 31 [size =\"32308224\"]\n  28 -> 32 [size =\"32308224\"]\n  28 -> 33 [size =\"32308224\"]\n  28 -> 35 [size =\"32308224\"]\n  28 -> 37 [size =\"32308224\"]\n  29 [size=\"171694080\", alpha=\"0.13\", expect_size=\"51508224\"] \n  29 -> 33 [size =\"51508224\"]\n  29 -> 34 [size =\"51508224\"]\n  29 -> 37 [size =\"51508224\"]\n  30 [size=\"67833173\", alpha=\"0.14\", expect_size=\"20349952\"] \n  30 -> 32 [size =\"20349952\"]\n  30 -> 37 [size =\"20349952\"]\n  30 -> 38 [size =\"20349952\"]\n  31 [size=\"72888320\", alpha=\"0.03\", expect_size=\"21866496\"] \n  31 -> 40 [size =\"21866496\"]\n  31 -> 40 [size =\"21866496\"]\n  31 -> 41 [size =\"21866496\"]\n  32 [size=\"43400533\", alpha=\"0.08\", expect_size=\"13020160\"] \n  32 -> 39 [size =\"13020160\"]\n  32 -> 40 [size =\"13020160\"]\n  32 -> 41 [size =\"13020160\"]\n  32 -> 42 [size =\"13020160\"]\n  33 [size=\"42424320\", alpha=\"0.17\", expect_size=\"12727296\"] \n  33 -> 40 [size =\"12727296\"]\n  33 -> 40 [size =\"12727296\"]\n  33 -> 41 [size =\"12727296\"]\n  33 -> 44 [size =\"12727296\"]\n  34 [size=\"17974613\", alpha=\"0.15\", expect_size=\"5392384\"] \n  34 -> 41 [size =\"5392384\"]\n  34 -> 43 [size =\"5392384\"]\n  34 -> 44 [size =\"5392384\"]\n  35 [size=\"153698987\", alpha=\"0.10\", expect_size=\"46109696\"] \n  35 -> 39 [size =\"46109696\"]\n  35 -> 40 [size =\"46109696\"]\n  35 -> 41 [size =\"46109696\"]\n  35 -> 42 [size =\"46109696\"]\n  35 -> 44 [size =\"46109696\"]\n  36 [size=\"22749867\", alpha=\"0.17\", expect_size=\"6824960\"] \n  36 -> 39 [size =\"6824960\"]\n  36 -> 40 [size =\"6824960\"]\n  36 -> 41 [size =\"6824960\"]\n  36 -> 42 [size =\"6824960\"]\n  36 -> 44 [size =\"6824960\"]\n  37 [size=\"144554667\", alpha=\"0.18\", expect_size=\"43366400\"] \n  37 -> 41 [size =\"43366400\"]\n  37 -> 42 [size =\"43366400\"]\n  37 -> 44 [size =\"43366400\"]\n  38 [size=\"51602773\", alpha=\"0.17\", expect_size=\"15480832\"] \n  38 -> 39 [size =\"15480832\"]\n  38 -> 40 [size =\"15480832\"]\n  38 -> 41 [size =\"15480832\"]\n  39 [size=\"141783040\", alpha=\"0.00\", expect_size=\"42534912\"] \n  39 -> 45 [size =\"42534912\"]\n  39 -> 48 [size =\"42534912\"]\n  39 -> 49 [size =\"42534912\"]\n  40 [size=\"84879360\", alpha=\"0.06\", expect_size=\"25463808\"] \n  40 -> 45 [size =\"25463808\"]\n  40 -> 48 [size =\"25463808\"]\n  40 -> 49 [size =\"25463808\"]\n  41 [size=\"40198827\", alpha=\"0.00\", expect_size=\"12059648\"] \n  41 -> 48 [size =\"12059648\"]\n  41 -> 50 [size =\"12059648\"]\n  42 [size=\"63842987\", alpha=\"0.16\", expect_size=\"19152896\"] \n  42 -> 45 [size =\"19152896\"]\n  42 -> 47 [size =\"19152896\"]\n  42 -> 48 [size =\"19152896\"]\n  42 -> 50 [size =\"19152896\"]\n  43 [size=\"130054827\", alpha=\"0.18\", expect_size=\"39016448\"] \n  43 -> 48 [size =\"39016448\"]\n  43 -> 49 [size =\"39016448\"]\n  43 -> 50 [size =\"39016448\"]\n  43 -> 50 [size =\"39016448\"]\n  44 [size=\"105383253\", alpha=\"0.08\", expect_size=\"31614976\"] \n  44 -> 45 [size =\"31614976\"]\n  44 -> 46 [size =\"31614976\"]\n  44 -> 49 [size =\"31614976\"]\n  45 [size=\"68147200\", alpha=\"0.01\", expect_size=\"20444160\"] \n  46 [size=\"144711680\", alpha=\"0.07\", expect_size=\"43413504\"] \n  47 [size=\"119497387\", alpha=\"0.04\", expect_size=\"35849216\"] \n  48 [size=\"100007253\", alpha=\"0.12\", expect_size=\"30002176\"] \n  49 [size=\"74909013\", alpha=\"0.19\", expect_size=\"22472704\"] \n  50 [size=\"75523413\", alpha=\"0.13\", expect_size=\"22657024\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.2.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"102965248\", alpha=\"0.18\", expect_size=\"51482624\"] \n  2 [size=\"60542976\", alpha=\"0.00\", expect_size=\"30271488\"] \n  3 [size=\"47771648\", alpha=\"0.03\", expect_size=\"23885824\"] \n  4 [size=\"32534528\", alpha=\"0.00\", expect_size=\"16267264\"] \n  5 [size=\"101289984\", alpha=\"0.20\", expect_size=\"50644992\"] \n  5 -> 50 [size =\"50644992\"]\n  6 [size=\"49852416\", alpha=\"0.13\", expect_size=\"24926208\"] \n  7 [size=\"34314240\", alpha=\"0.15\", expect_size=\"17157120\"] \n  8 [size=\"87164928\", alpha=\"0.06\", expect_size=\"43582464\"] \n  9 [size=\"28035072\", alpha=\"0.00\", expect_size=\"14017536\"] \n  10 [size=\"14895104\", alpha=\"0.00\", expect_size=\"7447552\"] \n  10 -> 50 [size =\"7447552\"]\n  11 [size=\"54073344\", alpha=\"0.19\", expect_size=\"27036672\"] \n  11 -> 50 [size =\"27036672\"]\n  12 [size=\"46905344\", alpha=\"0.04\", expect_size=\"23452672\"] \n  12 -> 50 [size =\"23452672\"]\n  13 [size=\"48943104\", alpha=\"0.12\", expect_size=\"24471552\"] \n  13 -> 50 [size =\"24471552\"]\n  14 [size=\"63369216\", alpha=\"0.13\", expect_size=\"31684608\"] \n  14 -> 50 [size =\"31684608\"]\n  15 [size=\"64217088\", alpha=\"0.18\", expect_size=\"32108544\"] \n  16 [size=\"63946752\", alpha=\"0.06\", expect_size=\"31973376\"] \n  17 [size=\"30840832\", alpha=\"0.18\", expect_size=\"15420416\"] \n  18 [size=\"100386816\", alpha=\"0.15\", expect_size=\"50193408\"] \n  19 [size=\"33339392\", alpha=\"0.02\", expect_size=\"16669696\"] \n  19 -> 50 [size =\"16669696\"]\n  20 [size=\"35153920\", alpha=\"0.18\", expect_size=\"17576960\"] \n  20 -> 50 [size =\"17576960\"]\n  21 [size=\"35721216\", alpha=\"0.13\", expect_size=\"17860608\"] \n  21 -> 50 [size =\"17860608\"]\n  22 [size=\"32688128\", alpha=\"0.19\", expect_size=\"16344064\"] \n  22 -> 50 [size =\"16344064\"]\n  23 [size=\"50245632\", alpha=\"0.13\", expect_size=\"25122816\"] \n  23 -> 50 [size =\"25122816\"]\n  24 [size=\"13420544\", alpha=\"0.12\", expect_size=\"6710272\"] \n  25 [size=\"72488960\", alpha=\"0.10\", expect_size=\"36244480\"] \n  26 [size=\"65396736\", alpha=\"0.16\", expect_size=\"32698368\"] \n  26 -> 50 [size =\"32698368\"]\n  27 [size=\"95365120\", alpha=\"0.08\", expect_size=\"47682560\"] \n  27 -> 50 [size =\"47682560\"]\n  28 [size=\"85094400\", alpha=\"0.15\", expect_size=\"42547200\"] \n  29 [size=\"63285248\", alpha=\"0.07\", expect_size=\"31642624\"] \n  30 [size=\"71204864\", alpha=\"0.19\", expect_size=\"35602432\"] \n  30 -> 50 [size =\"35602432\"]\n  31 [size=\"59979776\", alpha=\"0.00\", expect_size=\"29989888\"] \n  32 [size=\"27719680\", alpha=\"0.10\", expect_size=\"13859840\"] \n  33 [size=\"24479744\", alpha=\"0.07\", expect_size=\"12239872\"] \n  34 [size=\"87547904\", alpha=\"0.16\", expect_size=\"43773952\"] \n  35 [size=\"50231296\", alpha=\"0.16\", expect_size=\"25115648\"] \n  36 [size=\"97701888\", alpha=\"0.07\", expect_size=\"48850944\"] \n  37 [size=\"80586752\", alpha=\"0.03\", expect_size=\"40293376\"] \n  37 -> 50 [size =\"40293376\"]\n  38 [size=\"22714368\", alpha=\"0.17\", expect_size=\"11357184\"] \n  39 [size=\"95137792\", alpha=\"0.17\", expect_size=\"47568896\"] \n  40 [size=\"32290816\", alpha=\"0.01\", expect_size=\"16145408\"] \n  40 -> 50 [size =\"16145408\"]\n  41 [size=\"27328512\", alpha=\"0.12\", expect_size=\"13664256\"] \n  41 -> 50 [size =\"13664256\"]\n  42 [size=\"29464576\", alpha=\"0.06\", expect_size=\"14732288\"] \n  43 [size=\"75122688\", alpha=\"0.10\", expect_size=\"37561344\"] \n  44 [size=\"14014464\", alpha=\"0.13\", expect_size=\"7007232\"] \n  45 [size=\"87771136\", alpha=\"0.10\", expect_size=\"43885568\"] \n  46 [size=\"67008512\", alpha=\"0.19\", expect_size=\"33504256\"] \n  47 [size=\"99559424\", alpha=\"0.06\", expect_size=\"49779712\"] \n  48 [size=\"17037312\", alpha=\"0.08\", expect_size=\"8518656\"] \n  48 -> 50 [size =\"8518656\"]\n  49 [size=\"98084864\", alpha=\"0.02\", expect_size=\"49042432\"] \n  50 [size=\"82442240\", alpha=\"0.08\", expect_size=\"41221120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.20.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"29378560\", alpha=\"0.10\", expect_size=\"14689280\"] \n  1 -> 7 [size =\"14689280\"]\n  1 -> 8 [size =\"14689280\"]\n  1 -> 11 [size =\"14689280\"]\n  2 [size=\"31838208\", alpha=\"0.18\", expect_size=\"15919104\"] \n  2 -> 6 [size =\"15919104\"]\n  2 -> 11 [size =\"15919104\"]\n  3 [size=\"72255488\", alpha=\"0.14\", expect_size=\"36127744\"] \n  3 -> 6 [size =\"36127744\"]\n  3 -> 11 [size =\"36127744\"]\n  3 -> 12 [size =\"36127744\"]\n  4 [size=\"29220864\", alpha=\"0.13\", expect_size=\"14610432\"] \n  4 -> 8 [size =\"14610432\"]\n  4 -> 9 [size =\"14610432\"]\n  5 [size=\"98615296\", alpha=\"0.05\", expect_size=\"49307648\"] \n  5 -> 6 [size =\"49307648\"]\n  5 -> 7 [size =\"49307648\"]\n  5 -> 8 [size =\"49307648\"]\n  5 -> 10 [size =\"49307648\"]\n  6 [size=\"62234624\", alpha=\"0.00\", expect_size=\"31117312\"] \n  6 -> 13 [size =\"31117312\"]\n  6 -> 17 [size =\"31117312\"]\n  7 [size=\"100319232\", alpha=\"0.09\", expect_size=\"50159616\"] \n  7 -> 13 [size =\"50159616\"]\n  7 -> 14 [size =\"50159616\"]\n  7 -> 15 [size =\"50159616\"]\n  7 -> 17 [size =\"50159616\"]\n  8 [size=\"25903104\", alpha=\"0.14\", expect_size=\"12951552\"] \n  8 -> 16 [size =\"12951552\"]\n  9 [size=\"91828224\", alpha=\"0.10\", expect_size=\"45914112\"] \n  9 -> 13 [size =\"45914112\"]\n  9 -> 15 [size =\"45914112\"]\n  9 -> 16 [size =\"45914112\"]\n  10 [size=\"90173440\", alpha=\"0.01\", expect_size=\"45086720\"] \n  10 -> 13 [size =\"45086720\"]\n  10 -> 15 [size =\"45086720\"]\n  10 -> 17 [size =\"45086720\"]\n  11 [size=\"84176896\", alpha=\"0.12\", expect_size=\"42088448\"] \n  11 -> 15 [size =\"42088448\"]\n  11 -> 15 [size =\"42088448\"]\n  12 [size=\"37156864\", alpha=\"0.10\", expect_size=\"18578432\"] \n  12 -> 13 [size =\"18578432\"]\n  12 -> 15 [size =\"18578432\"]\n  13 [size=\"29880320\", alpha=\"0.06\", expect_size=\"14940160\"] \n  13 -> 18 [size =\"14940160\"]\n  13 -> 19 [size =\"14940160\"]\n  13 -> 20 [size =\"14940160\"]\n  13 -> 23 [size =\"14940160\"]\n  13 -> 24 [size =\"14940160\"]\n  14 [size=\"97325056\", alpha=\"0.17\", expect_size=\"48662528\"] \n  14 -> 18 [size =\"48662528\"]\n  14 -> 19 [size =\"48662528\"]\n  14 -> 20 [size =\"48662528\"]\n  14 -> 21 [size =\"48662528\"]\n  14 -> 22 [size =\"48662528\"]\n  15 [size=\"62916608\", alpha=\"0.03\", expect_size=\"31458304\"] \n  15 -> 18 [size =\"31458304\"]\n  15 -> 19 [size =\"31458304\"]\n  15 -> 20 [size =\"31458304\"]\n  15 -> 21 [size =\"31458304\"]\n  15 -> 23 [size =\"31458304\"]\n  16 [size=\"85491712\", alpha=\"0.01\", expect_size=\"42745856\"] \n  16 -> 18 [size =\"42745856\"]\n  16 -> 19 [size =\"42745856\"]\n  16 -> 22 [size =\"42745856\"]\n  16 -> 23 [size =\"42745856\"]\n  16 -> 23 [size =\"42745856\"]\n  16 -> 25 [size =\"42745856\"]\n  17 [size=\"87566336\", alpha=\"0.12\", expect_size=\"43783168\"] \n  17 -> 18 [size =\"43783168\"]\n  17 -> 19 [size =\"43783168\"]\n  17 -> 23 [size =\"43783168\"]\n  18 [size=\"34785280\", alpha=\"0.14\", expect_size=\"17392640\"] \n  18 -> 27 [size =\"17392640\"]\n  18 -> 28 [size =\"17392640\"]\n  18 -> 30 [size =\"17392640\"]\n  19 [size=\"99549184\", alpha=\"0.20\", expect_size=\"49774592\"] \n  19 -> 29 [size =\"49774592\"]\n  20 [size=\"51499008\", alpha=\"0.09\", expect_size=\"25749504\"] \n  20 -> 27 [size =\"25749504\"]\n  20 -> 29 [size =\"25749504\"]\n  20 -> 30 [size =\"25749504\"]\n  20 -> 34 [size =\"25749504\"]\n  21 [size=\"57671680\", alpha=\"0.03\", expect_size=\"28835840\"] \n  21 -> 29 [size =\"28835840\"]\n  21 -> 30 [size =\"28835840\"]\n  21 -> 30 [size =\"28835840\"]\n  21 -> 31 [size =\"28835840\"]\n  21 -> 33 [size =\"28835840\"]\n  22 [size=\"21878784\", alpha=\"0.01\", expect_size=\"10939392\"] \n  22 -> 28 [size =\"10939392\"]\n  22 -> 30 [size =\"10939392\"]\n  23 [size=\"67584000\", alpha=\"0.12\", expect_size=\"33792000\"] \n  23 -> 26 [size =\"33792000\"]\n  23 -> 30 [size =\"33792000\"]\n  23 -> 32 [size =\"33792000\"]\n  23 -> 33 [size =\"33792000\"]\n  23 -> 34 [size =\"33792000\"]\n  24 [size=\"94877696\", alpha=\"0.08\", expect_size=\"47438848\"] \n  24 -> 27 [size =\"47438848\"]\n  24 -> 30 [size =\"47438848\"]\n  24 -> 33 [size =\"47438848\"]\n  24 -> 34 [size =\"47438848\"]\n  25 [size=\"79073280\", alpha=\"0.01\", expect_size=\"39536640\"] \n  25 -> 27 [size =\"39536640\"]\n  25 -> 28 [size =\"39536640\"]\n  26 [size=\"94771200\", alpha=\"0.06\", expect_size=\"47385600\"] \n  26 -> 35 [size =\"47385600\"]\n  26 -> 36 [size =\"47385600\"]\n  26 -> 37 [size =\"47385600\"]\n  26 -> 39 [size =\"47385600\"]\n  27 [size=\"99012608\", alpha=\"0.10\", expect_size=\"49506304\"] \n  27 -> 36 [size =\"49506304\"]\n  27 -> 37 [size =\"49506304\"]\n  27 -> 38 [size =\"49506304\"]\n  27 -> 39 [size =\"49506304\"]\n  28 [size=\"61401088\", alpha=\"0.17\", expect_size=\"30700544\"] \n  28 -> 35 [size =\"30700544\"]\n  28 -> 36 [size =\"30700544\"]\n  28 -> 37 [size =\"30700544\"]\n  28 -> 38 [size =\"30700544\"]\n  29 [size=\"33220608\", alpha=\"0.02\", expect_size=\"16610304\"] \n  29 -> 35 [size =\"16610304\"]\n  29 -> 36 [size =\"16610304\"]\n  29 -> 37 [size =\"16610304\"]\n  29 -> 38 [size =\"16610304\"]\n  30 [size=\"31381504\", alpha=\"0.03\", expect_size=\"15690752\"] \n  30 -> 36 [size =\"15690752\"]\n  30 -> 37 [size =\"15690752\"]\n  30 -> 37 [size =\"15690752\"]\n  30 -> 39 [size =\"15690752\"]\n  31 [size=\"74983424\", alpha=\"0.20\", expect_size=\"37491712\"] \n  31 -> 37 [size =\"37491712\"]\n  31 -> 39 [size =\"37491712\"]\n  32 [size=\"88549376\", alpha=\"0.03\", expect_size=\"44274688\"] \n  33 [size=\"93431808\", alpha=\"0.09\", expect_size=\"46715904\"] \n  33 -> 35 [size =\"46715904\"]\n  33 -> 39 [size =\"46715904\"]\n  34 [size=\"57026560\", alpha=\"0.14\", expect_size=\"28513280\"] \n  35 [size=\"92446720\", alpha=\"0.10\", expect_size=\"46223360\"] \n  35 -> 40 [size =\"46223360\"]\n  35 -> 41 [size =\"46223360\"]\n  35 -> 42 [size =\"46223360\"]\n  36 [size=\"99072000\", alpha=\"0.03\", expect_size=\"49536000\"] \n  36 -> 42 [size =\"49536000\"]\n  36 -> 43 [size =\"49536000\"]\n  36 -> 44 [size =\"49536000\"]\n  37 [size=\"34285568\", alpha=\"0.11\", expect_size=\"17142784\"] \n  37 -> 40 [size =\"17142784\"]\n  37 -> 42 [size =\"17142784\"]\n  37 -> 43 [size =\"17142784\"]\n  37 -> 44 [size =\"17142784\"]\n  37 -> 45 [size =\"17142784\"]\n  37 -> 46 [size =\"17142784\"]\n  38 [size=\"82288640\", alpha=\"0.05\", expect_size=\"41144320\"] \n  38 -> 40 [size =\"41144320\"]\n  38 -> 41 [size =\"41144320\"]\n  38 -> 42 [size =\"41144320\"]\n  38 -> 43 [size =\"41144320\"]\n  38 -> 44 [size =\"41144320\"]\n  38 -> 45 [size =\"41144320\"]\n  38 -> 46 [size =\"41144320\"]\n  39 [size=\"69758976\", alpha=\"0.17\", expect_size=\"34879488\"] \n  39 -> 40 [size =\"34879488\"]\n  39 -> 41 [size =\"34879488\"]\n  39 -> 44 [size =\"34879488\"]\n  39 -> 45 [size =\"34879488\"]\n  40 [size=\"78036992\", alpha=\"0.18\", expect_size=\"39018496\"] \n  40 -> 47 [size =\"39018496\"]\n  40 -> 48 [size =\"39018496\"]\n  40 -> 49 [size =\"39018496\"]\n  40 -> 50 [size =\"39018496\"]\n  41 [size=\"92442624\", alpha=\"0.09\", expect_size=\"46221312\"] \n  41 -> 48 [size =\"46221312\"]\n  41 -> 50 [size =\"46221312\"]\n  42 [size=\"92293120\", alpha=\"0.03\", expect_size=\"46146560\"] \n  43 [size=\"104263680\", alpha=\"0.09\", expect_size=\"52131840\"] \n  43 -> 47 [size =\"52131840\"]\n  43 -> 50 [size =\"52131840\"]\n  44 [size=\"53374976\", alpha=\"0.12\", expect_size=\"26687488\"] \n  44 -> 50 [size =\"26687488\"]\n  45 [size=\"26468352\", alpha=\"0.10\", expect_size=\"13234176\"] \n  46 [size=\"75974656\", alpha=\"0.06\", expect_size=\"37987328\"] \n  46 -> 47 [size =\"37987328\"]\n  46 -> 48 [size =\"37987328\"]\n  46 -> 49 [size =\"37987328\"]\n  47 [size=\"88158208\", alpha=\"0.01\", expect_size=\"44079104\"] \n  48 [size=\"45725696\", alpha=\"0.06\", expect_size=\"22862848\"] \n  49 [size=\"67352576\", alpha=\"0.17\", expect_size=\"33676288\"] \n  50 [size=\"53360640\", alpha=\"0.11\", expect_size=\"26680320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.21.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34997760\", alpha=\"0.05\", expect_size=\"13999104\"] \n  1 -> 2 [size =\"13999104\"]\n  2 [size=\"109235200\", alpha=\"0.11\", expect_size=\"43694080\"] \n  2 -> 3 [size =\"43694080\"]\n  3 [size=\"104806400\", alpha=\"0.10\", expect_size=\"41922560\"] \n  3 -> 4 [size =\"41922560\"]\n  4 [size=\"117130240\", alpha=\"0.06\", expect_size=\"46852096\"] \n  4 -> 5 [size =\"46852096\"]\n  5 [size=\"65576960\", alpha=\"0.07\", expect_size=\"26230784\"] \n  5 -> 6 [size =\"26230784\"]\n  6 [size=\"65950720\", alpha=\"0.12\", expect_size=\"26380288\"] \n  6 -> 7 [size =\"26380288\"]\n  7 [size=\"100661760\", alpha=\"0.12\", expect_size=\"40264704\"] \n  7 -> 8 [size =\"40264704\"]\n  8 [size=\"43118080\", alpha=\"0.03\", expect_size=\"17247232\"] \n  8 -> 9 [size =\"17247232\"]\n  9 [size=\"122183680\", alpha=\"0.07\", expect_size=\"48873472\"] \n  9 -> 10 [size =\"48873472\"]\n  10 [size=\"108561920\", alpha=\"0.15\", expect_size=\"43424768\"] \n  10 -> 11 [size =\"43424768\"]\n  11 [size=\"85240320\", alpha=\"0.15\", expect_size=\"34096128\"] \n  11 -> 12 [size =\"34096128\"]\n  12 [size=\"112376320\", alpha=\"0.19\", expect_size=\"44950528\"] \n  12 -> 13 [size =\"44950528\"]\n  13 [size=\"59304960\", alpha=\"0.11\", expect_size=\"23721984\"] \n  13 -> 14 [size =\"23721984\"]\n  14 [size=\"115453440\", alpha=\"0.18\", expect_size=\"46181376\"] \n  14 -> 15 [size =\"46181376\"]\n  15 [size=\"30704640\", alpha=\"0.10\", expect_size=\"12281856\"] \n  15 -> 16 [size =\"12281856\"]\n  16 [size=\"73848320\", alpha=\"0.15\", expect_size=\"29539328\"] \n  16 -> 17 [size =\"29539328\"]\n  17 [size=\"25111040\", alpha=\"0.03\", expect_size=\"10044416\"] \n  17 -> 18 [size =\"10044416\"]\n  18 [size=\"97139200\", alpha=\"0.04\", expect_size=\"38855680\"] \n  18 -> 19 [size =\"38855680\"]\n  19 [size=\"117678080\", alpha=\"0.08\", expect_size=\"47071232\"] \n  19 -> 20 [size =\"47071232\"]\n  20 [size=\"42536960\", alpha=\"0.17\", expect_size=\"17014784\"] \n  20 -> 21 [size =\"17014784\"]\n  21 [size=\"14727680\", alpha=\"0.10\", expect_size=\"5891072\"] \n  21 -> 22 [size =\"5891072\"]\n  22 [size=\"100431360\", alpha=\"0.19\", expect_size=\"40172544\"] \n  22 -> 23 [size =\"40172544\"]\n  23 [size=\"95526400\", alpha=\"0.04\", expect_size=\"38210560\"] \n  23 -> 24 [size =\"38210560\"]\n  24 [size=\"40903680\", alpha=\"0.07\", expect_size=\"16361472\"] \n  24 -> 25 [size =\"16361472\"]\n  25 [size=\"26411520\", alpha=\"0.18\", expect_size=\"10564608\"] \n  25 -> 26 [size =\"10564608\"]\n  26 [size=\"85199360\", alpha=\"0.18\", expect_size=\"34079744\"] \n  26 -> 27 [size =\"34079744\"]\n  27 [size=\"55098880\", alpha=\"0.13\", expect_size=\"22039552\"] \n  27 -> 28 [size =\"22039552\"]\n  28 [size=\"71129600\", alpha=\"0.14\", expect_size=\"28451840\"] \n  28 -> 29 [size =\"28451840\"]\n  29 [size=\"92802560\", alpha=\"0.12\", expect_size=\"37121024\"] \n  29 -> 30 [size =\"37121024\"]\n  30 [size=\"22604800\", alpha=\"0.07\", expect_size=\"9041920\"] \n  30 -> 31 [size =\"9041920\"]\n  31 [size=\"124756480\", alpha=\"0.14\", expect_size=\"49902592\"] \n  31 -> 32 [size =\"49902592\"]\n  32 [size=\"67256320\", alpha=\"0.18\", expect_size=\"26902528\"] \n  32 -> 33 [size =\"26902528\"]\n  33 [size=\"64194560\", alpha=\"0.10\", expect_size=\"25677824\"] \n  33 -> 34 [size =\"25677824\"]\n  34 [size=\"89310720\", alpha=\"0.19\", expect_size=\"35724288\"] \n  34 -> 35 [size =\"35724288\"]\n  35 [size=\"128665600\", alpha=\"0.11\", expect_size=\"51466240\"] \n  35 -> 36 [size =\"51466240\"]\n  36 [size=\"116764160\", alpha=\"0.14\", expect_size=\"46705664\"] \n  36 -> 37 [size =\"46705664\"]\n  37 [size=\"106449920\", alpha=\"0.18\", expect_size=\"42579968\"] \n  37 -> 38 [size =\"42579968\"]\n  38 [size=\"67317760\", alpha=\"0.17\", expect_size=\"26927104\"] \n  38 -> 39 [size =\"26927104\"]\n  39 [size=\"29373440\", alpha=\"0.13\", expect_size=\"11749376\"] \n  39 -> 40 [size =\"11749376\"]\n  40 [size=\"101698560\", alpha=\"0.15\", expect_size=\"40679424\"] \n  40 -> 41 [size =\"40679424\"]\n  41 [size=\"25848320\", alpha=\"0.16\", expect_size=\"10339328\"] \n  41 -> 42 [size =\"10339328\"]\n  42 [size=\"109893120\", alpha=\"0.13\", expect_size=\"43957248\"] \n  42 -> 43 [size =\"43957248\"]\n  43 [size=\"99205120\", alpha=\"0.03\", expect_size=\"39682048\"] \n  43 -> 44 [size =\"39682048\"]\n  44 [size=\"39987200\", alpha=\"0.18\", expect_size=\"15994880\"] \n  44 -> 45 [size =\"15994880\"]\n  45 [size=\"34585600\", alpha=\"0.16\", expect_size=\"13834240\"] \n  45 -> 46 [size =\"13834240\"]\n  46 [size=\"100595200\", alpha=\"0.05\", expect_size=\"40238080\"] \n  46 -> 47 [size =\"40238080\"]\n  47 [size=\"62832640\", alpha=\"0.02\", expect_size=\"25133056\"] \n  47 -> 48 [size =\"25133056\"]\n  48 [size=\"51269120\", alpha=\"0.09\", expect_size=\"20507648\"] \n  48 -> 49 [size =\"20507648\"]\n  49 [size=\"31969280\", alpha=\"0.09\", expect_size=\"12787712\"] \n  49 -> 50 [size =\"12787712\"]\n  50 [size=\"109509120\", alpha=\"0.11\", expect_size=\"43803648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.22.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"117880320\", alpha=\"0.14\", expect_size=\"47152128\"] \n  1 -> 30 [size =\"47152128\"]\n  1 -> 39 [size =\"47152128\"]\n  1 -> 41 [size =\"47152128\"]\n  1 -> 46 [size =\"47152128\"]\n  1 -> 49 [size =\"47152128\"]\n  1 -> 50 [size =\"47152128\"]\n  2 [size=\"81976320\", alpha=\"0.02\", expect_size=\"32790528\"] \n  2 -> 30 [size =\"32790528\"]\n  2 -> 31 [size =\"32790528\"]\n  2 -> 33 [size =\"32790528\"]\n  2 -> 34 [size =\"32790528\"]\n  2 -> 37 [size =\"32790528\"]\n  2 -> 46 [size =\"32790528\"]\n  2 -> 47 [size =\"32790528\"]\n  3 [size=\"121625600\", alpha=\"0.11\", expect_size=\"48650240\"] \n  3 -> 34 [size =\"48650240\"]\n  3 -> 37 [size =\"48650240\"]\n  3 -> 38 [size =\"48650240\"]\n  3 -> 40 [size =\"48650240\"]\n  3 -> 47 [size =\"48650240\"]\n  3 -> 49 [size =\"48650240\"]\n  4 [size=\"115875840\", alpha=\"0.03\", expect_size=\"46350336\"] \n  4 -> 33 [size =\"46350336\"]\n  4 -> 36 [size =\"46350336\"]\n  4 -> 37 [size =\"46350336\"]\n  5 [size=\"85990400\", alpha=\"0.19\", expect_size=\"34396160\"] \n  5 -> 29 [size =\"34396160\"]\n  5 -> 30 [size =\"34396160\"]\n  5 -> 31 [size =\"34396160\"]\n  5 -> 33 [size =\"34396160\"]\n  5 -> 35 [size =\"34396160\"]\n  5 -> 36 [size =\"34396160\"]\n  5 -> 39 [size =\"34396160\"]\n  5 -> 44 [size =\"34396160\"]\n  5 -> 46 [size =\"34396160\"]\n  5 -> 47 [size =\"34396160\"]\n  5 -> 48 [size =\"34396160\"]\n  5 -> 49 [size =\"34396160\"]\n  6 [size=\"101813760\", alpha=\"0.16\", expect_size=\"40725504\"] \n  6 -> 30 [size =\"40725504\"]\n  6 -> 37 [size =\"40725504\"]\n  6 -> 41 [size =\"40725504\"]\n  6 -> 49 [size =\"40725504\"]\n  7 [size=\"97937920\", alpha=\"0.11\", expect_size=\"39175168\"] \n  7 -> 29 [size =\"39175168\"]\n  7 -> 37 [size =\"39175168\"]\n  7 -> 45 [size =\"39175168\"]\n  8 [size=\"16417280\", alpha=\"0.19\", expect_size=\"6566912\"] \n  8 -> 29 [size =\"6566912\"]\n  8 -> 39 [size =\"6566912\"]\n  9 [size=\"46791680\", alpha=\"0.16\", expect_size=\"18716672\"] \n  9 -> 29 [size =\"18716672\"]\n  9 -> 31 [size =\"18716672\"]\n  9 -> 36 [size =\"18716672\"]\n  9 -> 37 [size =\"18716672\"]\n  9 -> 39 [size =\"18716672\"]\n  9 -> 40 [size =\"18716672\"]\n  9 -> 50 [size =\"18716672\"]\n  10 [size=\"120760320\", alpha=\"0.20\", expect_size=\"48304128\"] \n  10 -> 27 [size =\"48304128\"]\n  10 -> 29 [size =\"48304128\"]\n  10 -> 37 [size =\"48304128\"]\n  10 -> 37 [size =\"48304128\"]\n  10 -> 38 [size =\"48304128\"]\n  10 -> 40 [size =\"48304128\"]\n  10 -> 46 [size =\"48304128\"]\n  10 -> 50 [size =\"48304128\"]\n  11 [size=\"103083520\", alpha=\"0.11\", expect_size=\"41233408\"] \n  11 -> 30 [size =\"41233408\"]\n  11 -> 33 [size =\"41233408\"]\n  11 -> 37 [size =\"41233408\"]\n  11 -> 43 [size =\"41233408\"]\n  11 -> 49 [size =\"41233408\"]\n  12 [size=\"69795840\", alpha=\"0.12\", expect_size=\"27918336\"] \n  12 -> 27 [size =\"27918336\"]\n  12 -> 29 [size =\"27918336\"]\n  12 -> 31 [size =\"27918336\"]\n  12 -> 37 [size =\"27918336\"]\n  12 -> 39 [size =\"27918336\"]\n  12 -> 44 [size =\"27918336\"]\n  12 -> 46 [size =\"27918336\"]\n  12 -> 49 [size =\"27918336\"]\n  13 [size=\"83456000\", alpha=\"0.20\", expect_size=\"33382400\"] \n  13 -> 27 [size =\"33382400\"]\n  13 -> 28 [size =\"33382400\"]\n  13 -> 29 [size =\"33382400\"]\n  13 -> 30 [size =\"33382400\"]\n  13 -> 32 [size =\"33382400\"]\n  13 -> 39 [size =\"33382400\"]\n  13 -> 40 [size =\"33382400\"]\n  13 -> 44 [size =\"33382400\"]\n  13 -> 46 [size =\"33382400\"]\n  13 -> 50 [size =\"33382400\"]\n  14 [size=\"29061120\", alpha=\"0.19\", expect_size=\"11624448\"] \n  14 -> 27 [size =\"11624448\"]\n  14 -> 38 [size =\"11624448\"]\n  14 -> 39 [size =\"11624448\"]\n  14 -> 45 [size =\"11624448\"]\n  14 -> 49 [size =\"11624448\"]\n  15 [size=\"44316160\", alpha=\"0.12\", expect_size=\"17726464\"] \n  15 -> 27 [size =\"17726464\"]\n  15 -> 29 [size =\"17726464\"]\n  15 -> 32 [size =\"17726464\"]\n  15 -> 35 [size =\"17726464\"]\n  15 -> 38 [size =\"17726464\"]\n  15 -> 39 [size =\"17726464\"]\n  15 -> 40 [size =\"17726464\"]\n  15 -> 48 [size =\"17726464\"]\n  15 -> 49 [size =\"17726464\"]\n  16 [size=\"37301760\", alpha=\"0.08\", expect_size=\"14920704\"] \n  16 -> 35 [size =\"14920704\"]\n  16 -> 40 [size =\"14920704\"]\n  16 -> 44 [size =\"14920704\"]\n  16 -> 49 [size =\"14920704\"]\n  16 -> 50 [size =\"14920704\"]\n  17 [size=\"129589760\", alpha=\"0.09\", expect_size=\"51835904\"] \n  17 -> 32 [size =\"51835904\"]\n  17 -> 33 [size =\"51835904\"]\n  17 -> 42 [size =\"51835904\"]\n  17 -> 50 [size =\"51835904\"]\n  18 [size=\"76533760\", alpha=\"0.05\", expect_size=\"30613504\"] \n  18 -> 27 [size =\"30613504\"]\n  18 -> 29 [size =\"30613504\"]\n  18 -> 44 [size =\"30613504\"]\n  18 -> 47 [size =\"30613504\"]\n  19 [size=\"69358080\", alpha=\"0.12\", expect_size=\"27743232\"] \n  19 -> 29 [size =\"27743232\"]\n  19 -> 30 [size =\"27743232\"]\n  19 -> 43 [size =\"27743232\"]\n  19 -> 46 [size =\"27743232\"]\n  19 -> 49 [size =\"27743232\"]\n  20 [size=\"47052800\", alpha=\"0.13\", expect_size=\"18821120\"] \n  20 -> 27 [size =\"18821120\"]\n  20 -> 29 [size =\"18821120\"]\n  20 -> 33 [size =\"18821120\"]\n  21 [size=\"45877760\", alpha=\"0.12\", expect_size=\"18351104\"] \n  21 -> 33 [size =\"18351104\"]\n  21 -> 39 [size =\"18351104\"]\n  21 -> 50 [size =\"18351104\"]\n  22 [size=\"113702400\", alpha=\"0.03\", expect_size=\"45480960\"] \n  22 -> 28 [size =\"45480960\"]\n  22 -> 32 [size =\"45480960\"]\n  22 -> 38 [size =\"45480960\"]\n  22 -> 46 [size =\"45480960\"]\n  22 -> 49 [size =\"45480960\"]\n  23 [size=\"65740800\", alpha=\"0.12\", expect_size=\"26296320\"] \n  23 -> 27 [size =\"26296320\"]\n  23 -> 30 [size =\"26296320\"]\n  23 -> 32 [size =\"26296320\"]\n  23 -> 49 [size =\"26296320\"]\n  24 [size=\"64215040\", alpha=\"0.18\", expect_size=\"25686016\"] \n  24 -> 28 [size =\"25686016\"]\n  24 -> 33 [size =\"25686016\"]\n  24 -> 36 [size =\"25686016\"]\n  24 -> 44 [size =\"25686016\"]\n  25 [size=\"58941440\", alpha=\"0.17\", expect_size=\"23576576\"] \n  25 -> 27 [size =\"23576576\"]\n  25 -> 30 [size =\"23576576\"]\n  25 -> 50 [size =\"23576576\"]\n  26 [size=\"129461760\", alpha=\"0.11\", expect_size=\"51784704\"] \n  26 -> 27 [size =\"51784704\"]\n  26 -> 30 [size =\"51784704\"]\n  26 -> 31 [size =\"51784704\"]\n  27 [size=\"60193280\", alpha=\"0.19\", expect_size=\"24077312\"] \n  28 [size=\"114680320\", alpha=\"0.08\", expect_size=\"45872128\"] \n  29 [size=\"26984960\", alpha=\"0.02\", expect_size=\"10793984\"] \n  30 [size=\"96814080\", alpha=\"0.15\", expect_size=\"38725632\"] \n  31 [size=\"55731200\", alpha=\"0.03\", expect_size=\"22292480\"] \n  32 [size=\"126474240\", alpha=\"0.01\", expect_size=\"50589696\"] \n  33 [size=\"24017920\", alpha=\"0.10\", expect_size=\"9607168\"] \n  34 [size=\"92810240\", alpha=\"0.03\", expect_size=\"37124096\"] \n  35 [size=\"81730560\", alpha=\"0.00\", expect_size=\"32692224\"] \n  36 [size=\"63662080\", alpha=\"0.02\", expect_size=\"25464832\"] \n  37 [size=\"127313920\", alpha=\"0.03\", expect_size=\"50925568\"] \n  38 [size=\"121587200\", alpha=\"0.15\", expect_size=\"48634880\"] \n  39 [size=\"49797120\", alpha=\"0.17\", expect_size=\"19918848\"] \n  40 [size=\"63590400\", alpha=\"0.04\", expect_size=\"25436160\"] \n  41 [size=\"34693120\", alpha=\"0.17\", expect_size=\"13877248\"] \n  42 [size=\"53084160\", alpha=\"0.08\", expect_size=\"21233664\"] \n  43 [size=\"57484800\", alpha=\"0.07\", expect_size=\"22993920\"] \n  44 [size=\"118246400\", alpha=\"0.14\", expect_size=\"47298560\"] \n  45 [size=\"15398400\", alpha=\"0.10\", expect_size=\"6159360\"] \n  46 [size=\"16074240\", alpha=\"0.05\", expect_size=\"6429696\"] \n  47 [size=\"26511360\", alpha=\"0.08\", expect_size=\"10604544\"] \n  48 [size=\"45227520\", alpha=\"0.08\", expect_size=\"18091008\"] \n  49 [size=\"17681920\", alpha=\"0.11\", expect_size=\"7072768\"] \n  50 [size=\"118095360\", alpha=\"0.08\", expect_size=\"47238144\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.23.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"68694016\", alpha=\"0.03\", expect_size=\"34347008\"] \n  1 -> 5 [size =\"34347008\"]\n  1 -> 6 [size =\"34347008\"]\n  2 [size=\"101883904\", alpha=\"0.05\", expect_size=\"50941952\"] \n  3 [size=\"96602112\", alpha=\"0.05\", expect_size=\"48301056\"] \n  3 -> 5 [size =\"48301056\"]\n  4 [size=\"58914816\", alpha=\"0.06\", expect_size=\"29457408\"] \n  4 -> 5 [size =\"29457408\"]\n  5 [size=\"49352704\", alpha=\"0.16\", expect_size=\"24676352\"] \n  5 -> 7 [size =\"24676352\"]\n  5 -> 8 [size =\"24676352\"]\n  6 [size=\"23726080\", alpha=\"0.07\", expect_size=\"11863040\"] \n  6 -> 7 [size =\"11863040\"]\n  6 -> 8 [size =\"11863040\"]\n  7 [size=\"46790656\", alpha=\"0.17\", expect_size=\"23395328\"] \n  7 -> 9 [size =\"23395328\"]\n  7 -> 11 [size =\"23395328\"]\n  8 [size=\"53172224\", alpha=\"0.11\", expect_size=\"26586112\"] \n  8 -> 9 [size =\"26586112\"]\n  8 -> 10 [size =\"26586112\"]\n  9 [size=\"32065536\", alpha=\"0.04\", expect_size=\"16032768\"] \n  10 [size=\"85704704\", alpha=\"0.19\", expect_size=\"42852352\"] \n  11 [size=\"58284032\", alpha=\"0.07\", expect_size=\"29142016\"] \n  11 -> 12 [size =\"29142016\"]\n  12 [size=\"74065920\", alpha=\"0.03\", expect_size=\"37032960\"] \n  12 -> 13 [size =\"37032960\"]\n  12 -> 14 [size =\"37032960\"]\n  12 -> 15 [size =\"37032960\"]\n  13 [size=\"99139584\", alpha=\"0.17\", expect_size=\"49569792\"] \n  13 -> 16 [size =\"49569792\"]\n  14 [size=\"27475968\", alpha=\"0.08\", expect_size=\"13737984\"] \n  14 -> 17 [size =\"13737984\"]\n  15 [size=\"56649728\", alpha=\"0.03\", expect_size=\"28324864\"] \n  15 -> 16 [size =\"28324864\"]\n  15 -> 17 [size =\"28324864\"]\n  16 [size=\"38365184\", alpha=\"0.20\", expect_size=\"19182592\"] \n  16 -> 18 [size =\"19182592\"]\n  16 -> 19 [size =\"19182592\"]\n  16 -> 20 [size =\"19182592\"]\n  17 [size=\"70092800\", alpha=\"0.11\", expect_size=\"35046400\"] \n  17 -> 18 [size =\"35046400\"]\n  18 [size=\"58068992\", alpha=\"0.13\", expect_size=\"29034496\"] \n  18 -> 22 [size =\"29034496\"]\n  18 -> 23 [size =\"29034496\"]\n  19 [size=\"17891328\", alpha=\"0.10\", expect_size=\"8945664\"] \n  19 -> 21 [size =\"8945664\"]\n  20 [size=\"35205120\", alpha=\"0.03\", expect_size=\"17602560\"] \n  20 -> 21 [size =\"17602560\"]\n  20 -> 22 [size =\"17602560\"]\n  20 -> 23 [size =\"17602560\"]\n  21 [size=\"32741376\", alpha=\"0.09\", expect_size=\"16370688\"] \n  21 -> 24 [size =\"16370688\"]\n  22 [size=\"65746944\", alpha=\"0.14\", expect_size=\"32873472\"] \n  22 -> 24 [size =\"32873472\"]\n  23 [size=\"78444544\", alpha=\"0.17\", expect_size=\"39222272\"] \n  24 [size=\"64954368\", alpha=\"0.10\", expect_size=\"32477184\"] \n  24 -> 25 [size =\"32477184\"]\n  24 -> 26 [size =\"32477184\"]\n  24 -> 27 [size =\"32477184\"]\n  25 [size=\"104431616\", alpha=\"0.12\", expect_size=\"52215808\"] \n  25 -> 28 [size =\"52215808\"]\n  26 [size=\"25157632\", alpha=\"0.17\", expect_size=\"12578816\"] \n  26 -> 28 [size =\"12578816\"]\n  27 [size=\"24438784\", alpha=\"0.09\", expect_size=\"12219392\"] \n  27 -> 29 [size =\"12219392\"]\n  27 -> 30 [size =\"12219392\"]\n  28 [size=\"75055104\", alpha=\"0.10\", expect_size=\"37527552\"] \n  28 -> 32 [size =\"37527552\"]\n  28 -> 33 [size =\"37527552\"]\n  29 [size=\"41543680\", alpha=\"0.16\", expect_size=\"20771840\"] \n  30 [size=\"88178688\", alpha=\"0.18\", expect_size=\"44089344\"] \n  30 -> 31 [size =\"44089344\"]\n  30 -> 32 [size =\"44089344\"]\n  30 -> 33 [size =\"44089344\"]\n  31 [size=\"102940672\", alpha=\"0.09\", expect_size=\"51470336\"] \n  31 -> 34 [size =\"51470336\"]\n  31 -> 35 [size =\"51470336\"]\n  31 -> 36 [size =\"51470336\"]\n  32 [size=\"49666048\", alpha=\"0.15\", expect_size=\"24833024\"] \n  33 [size=\"19755008\", alpha=\"0.19\", expect_size=\"9877504\"] \n  33 -> 36 [size =\"9877504\"]\n  34 [size=\"99321856\", alpha=\"0.07\", expect_size=\"49660928\"] \n  34 -> 37 [size =\"49660928\"]\n  35 [size=\"53682176\", alpha=\"0.04\", expect_size=\"26841088\"] \n  35 -> 39 [size =\"26841088\"]\n  36 [size=\"16074752\", alpha=\"0.08\", expect_size=\"8037376\"] \n  36 -> 38 [size =\"8037376\"]\n  36 -> 39 [size =\"8037376\"]\n  37 [size=\"94113792\", alpha=\"0.04\", expect_size=\"47056896\"] \n  37 -> 41 [size =\"47056896\"]\n  37 -> 42 [size =\"47056896\"]\n  38 [size=\"40986624\", alpha=\"0.10\", expect_size=\"20493312\"] \n  38 -> 40 [size =\"20493312\"]\n  38 -> 41 [size =\"20493312\"]\n  38 -> 42 [size =\"20493312\"]\n  39 [size=\"88127488\", alpha=\"0.18\", expect_size=\"44063744\"] \n  40 [size=\"68372480\", alpha=\"0.11\", expect_size=\"34186240\"] \n  41 [size=\"56938496\", alpha=\"0.08\", expect_size=\"28469248\"] \n  41 -> 43 [size =\"28469248\"]\n  41 -> 44 [size =\"28469248\"]\n  41 -> 45 [size =\"28469248\"]\n  42 [size=\"101623808\", alpha=\"0.18\", expect_size=\"50811904\"] \n  42 -> 44 [size =\"50811904\"]\n  43 [size=\"77271040\", alpha=\"0.02\", expect_size=\"38635520\"] \n  43 -> 46 [size =\"38635520\"]\n  43 -> 47 [size =\"38635520\"]\n  43 -> 48 [size =\"38635520\"]\n  44 [size=\"72529920\", alpha=\"0.17\", expect_size=\"36264960\"] \n  44 -> 47 [size =\"36264960\"]\n  45 [size=\"104392704\", alpha=\"0.12\", expect_size=\"52196352\"] \n  46 [size=\"30281728\", alpha=\"0.11\", expect_size=\"15140864\"] \n  46 -> 49 [size =\"15140864\"]\n  46 -> 50 [size =\"15140864\"]\n  47 [size=\"66822144\", alpha=\"0.12\", expect_size=\"33411072\"] \n  47 -> 50 [size =\"33411072\"]\n  48 [size=\"84877312\", alpha=\"0.07\", expect_size=\"42438656\"] \n  48 -> 49 [size =\"42438656\"]\n  49 [size=\"37658624\", alpha=\"0.09\", expect_size=\"18829312\"] \n  50 [size=\"26945536\", alpha=\"0.07\", expect_size=\"13472768\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.24.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67448320\", alpha=\"0.16\", expect_size=\"26979328\"] \n  1 -> 2 [size =\"26979328\"]\n  2 [size=\"51824640\", alpha=\"0.10\", expect_size=\"20729856\"] \n  2 -> 3 [size =\"20729856\"]\n  3 [size=\"94712320\", alpha=\"0.03\", expect_size=\"37884928\"] \n  3 -> 4 [size =\"37884928\"]\n  4 [size=\"58081280\", alpha=\"0.03\", expect_size=\"23232512\"] \n  4 -> 5 [size =\"23232512\"]\n  5 [size=\"93880320\", alpha=\"0.06\", expect_size=\"37552128\"] \n  5 -> 6 [size =\"37552128\"]\n  6 [size=\"113978880\", alpha=\"0.18\", expect_size=\"45591552\"] \n  6 -> 7 [size =\"45591552\"]\n  7 [size=\"70899200\", alpha=\"0.13\", expect_size=\"28359680\"] \n  7 -> 8 [size =\"28359680\"]\n  8 [size=\"114460160\", alpha=\"0.08\", expect_size=\"45784064\"] \n  8 -> 9 [size =\"45784064\"]\n  9 [size=\"49021440\", alpha=\"0.05\", expect_size=\"19608576\"] \n  9 -> 10 [size =\"19608576\"]\n  10 [size=\"40683520\", alpha=\"0.09\", expect_size=\"16273408\"] \n  10 -> 11 [size =\"16273408\"]\n  11 [size=\"43148800\", alpha=\"0.02\", expect_size=\"17259520\"] \n  11 -> 12 [size =\"17259520\"]\n  12 [size=\"18539520\", alpha=\"0.16\", expect_size=\"7415808\"] \n  12 -> 13 [size =\"7415808\"]\n  13 [size=\"78691840\", alpha=\"0.13\", expect_size=\"31476736\"] \n  13 -> 14 [size =\"31476736\"]\n  14 [size=\"94464000\", alpha=\"0.03\", expect_size=\"37785600\"] \n  14 -> 15 [size =\"37785600\"]\n  15 [size=\"113953280\", alpha=\"0.06\", expect_size=\"45581312\"] \n  15 -> 16 [size =\"45581312\"]\n  16 [size=\"31004160\", alpha=\"0.13\", expect_size=\"12401664\"] \n  16 -> 17 [size =\"12401664\"]\n  17 [size=\"18874880\", alpha=\"0.18\", expect_size=\"7549952\"] \n  17 -> 18 [size =\"7549952\"]\n  18 [size=\"94538240\", alpha=\"0.13\", expect_size=\"37815296\"] \n  18 -> 19 [size =\"37815296\"]\n  19 [size=\"24568320\", alpha=\"0.16\", expect_size=\"9827328\"] \n  19 -> 20 [size =\"9827328\"]\n  20 [size=\"55196160\", alpha=\"0.19\", expect_size=\"22078464\"] \n  20 -> 21 [size =\"22078464\"]\n  21 [size=\"105359360\", alpha=\"0.11\", expect_size=\"42143744\"] \n  21 -> 22 [size =\"42143744\"]\n  22 [size=\"117624320\", alpha=\"0.10\", expect_size=\"47049728\"] \n  22 -> 23 [size =\"47049728\"]\n  23 [size=\"94138880\", alpha=\"0.03\", expect_size=\"37655552\"] \n  23 -> 24 [size =\"37655552\"]\n  24 [size=\"50406400\", alpha=\"0.03\", expect_size=\"20162560\"] \n  24 -> 25 [size =\"20162560\"]\n  25 [size=\"66206720\", alpha=\"0.17\", expect_size=\"26482688\"] \n  25 -> 26 [size =\"26482688\"]\n  26 [size=\"103851520\", alpha=\"0.08\", expect_size=\"41540608\"] \n  26 -> 27 [size =\"41540608\"]\n  27 [size=\"61475840\", alpha=\"0.09\", expect_size=\"24590336\"] \n  27 -> 28 [size =\"24590336\"]\n  28 [size=\"49369600\", alpha=\"0.07\", expect_size=\"19747840\"] \n  28 -> 29 [size =\"19747840\"]\n  29 [size=\"128243200\", alpha=\"0.11\", expect_size=\"51297280\"] \n  29 -> 30 [size =\"51297280\"]\n  30 [size=\"104010240\", alpha=\"0.20\", expect_size=\"41604096\"] \n  30 -> 31 [size =\"41604096\"]\n  31 [size=\"97681920\", alpha=\"0.14\", expect_size=\"39072768\"] \n  31 -> 32 [size =\"39072768\"]\n  32 [size=\"45637120\", alpha=\"0.09\", expect_size=\"18254848\"] \n  32 -> 33 [size =\"18254848\"]\n  33 [size=\"104560640\", alpha=\"0.15\", expect_size=\"41824256\"] \n  33 -> 34 [size =\"41824256\"]\n  34 [size=\"120125440\", alpha=\"0.14\", expect_size=\"48050176\"] \n  34 -> 35 [size =\"48050176\"]\n  35 [size=\"19345920\", alpha=\"0.11\", expect_size=\"7738368\"] \n  35 -> 36 [size =\"7738368\"]\n  36 [size=\"118922240\", alpha=\"0.11\", expect_size=\"47568896\"] \n  36 -> 37 [size =\"47568896\"]\n  37 [size=\"47872000\", alpha=\"0.12\", expect_size=\"19148800\"] \n  37 -> 38 [size =\"19148800\"]\n  38 [size=\"99916800\", alpha=\"0.07\", expect_size=\"39966720\"] \n  38 -> 39 [size =\"39966720\"]\n  39 [size=\"22515200\", alpha=\"0.03\", expect_size=\"9006080\"] \n  39 -> 40 [size =\"9006080\"]\n  40 [size=\"87513600\", alpha=\"0.07\", expect_size=\"35005440\"] \n  40 -> 41 [size =\"35005440\"]\n  41 [size=\"86558720\", alpha=\"0.06\", expect_size=\"34623488\"] \n  41 -> 42 [size =\"34623488\"]\n  42 [size=\"49692160\", alpha=\"0.03\", expect_size=\"19876864\"] \n  42 -> 43 [size =\"19876864\"]\n  43 [size=\"100316160\", alpha=\"0.14\", expect_size=\"40126464\"] \n  43 -> 44 [size =\"40126464\"]\n  44 [size=\"68085760\", alpha=\"0.11\", expect_size=\"27234304\"] \n  44 -> 45 [size =\"27234304\"]\n  45 [size=\"34355200\", alpha=\"0.18\", expect_size=\"13742080\"] \n  45 -> 46 [size =\"13742080\"]\n  46 [size=\"99973120\", alpha=\"0.19\", expect_size=\"39989248\"] \n  46 -> 47 [size =\"39989248\"]\n  47 [size=\"46912000\", alpha=\"0.09\", expect_size=\"18764800\"] \n  47 -> 48 [size =\"18764800\"]\n  48 [size=\"116869120\", alpha=\"0.05\", expect_size=\"46747648\"] \n  48 -> 49 [size =\"46747648\"]\n  49 [size=\"37381120\", alpha=\"0.00\", expect_size=\"14952448\"] \n  49 -> 50 [size =\"14952448\"]\n  50 [size=\"55841280\", alpha=\"0.11\", expect_size=\"22336512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.25.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"51450880\", alpha=\"0.04\", expect_size=\"20580352\"] \n  1 -> 17 [size =\"20580352\"]\n  1 -> 20 [size =\"20580352\"]\n  1 -> 21 [size =\"20580352\"]\n  1 -> 24 [size =\"20580352\"]\n  1 -> 26 [size =\"20580352\"]\n  1 -> 29 [size =\"20580352\"]\n  2 [size=\"59092480\", alpha=\"0.18\", expect_size=\"23636992\"] \n  2 -> 16 [size =\"23636992\"]\n  2 -> 17 [size =\"23636992\"]\n  2 -> 19 [size =\"23636992\"]\n  2 -> 20 [size =\"23636992\"]\n  2 -> 21 [size =\"23636992\"]\n  2 -> 26 [size =\"23636992\"]\n  2 -> 29 [size =\"23636992\"]\n  3 [size=\"24972800\", alpha=\"0.08\", expect_size=\"9989120\"] \n  3 -> 15 [size =\"9989120\"]\n  3 -> 16 [size =\"9989120\"]\n  3 -> 17 [size =\"9989120\"]\n  3 -> 19 [size =\"9989120\"]\n  3 -> 20 [size =\"9989120\"]\n  3 -> 22 [size =\"9989120\"]\n  3 -> 24 [size =\"9989120\"]\n  3 -> 27 [size =\"9989120\"]\n  3 -> 29 [size =\"9989120\"]\n  4 [size=\"65728000\", alpha=\"0.08\", expect_size=\"26291200\"] \n  4 -> 15 [size =\"26291200\"]\n  4 -> 16 [size =\"26291200\"]\n  4 -> 17 [size =\"26291200\"]\n  4 -> 18 [size =\"26291200\"]\n  4 -> 19 [size =\"26291200\"]\n  4 -> 20 [size =\"26291200\"]\n  4 -> 22 [size =\"26291200\"]\n  4 -> 27 [size =\"26291200\"]\n  4 -> 29 [size =\"26291200\"]\n  5 [size=\"17569280\", alpha=\"0.20\", expect_size=\"7027712\"] \n  5 -> 16 [size =\"7027712\"]\n  5 -> 19 [size =\"7027712\"]\n  5 -> 20 [size =\"7027712\"]\n  5 -> 21 [size =\"7027712\"]\n  5 -> 22 [size =\"7027712\"]\n  5 -> 24 [size =\"7027712\"]\n  5 -> 26 [size =\"7027712\"]\n  5 -> 27 [size =\"7027712\"]\n  5 -> 28 [size =\"7027712\"]\n  5 -> 29 [size =\"7027712\"]\n  6 [size=\"103104000\", alpha=\"0.08\", expect_size=\"41241600\"] \n  6 -> 15 [size =\"41241600\"]\n  6 -> 18 [size =\"41241600\"]\n  6 -> 19 [size =\"41241600\"]\n  6 -> 20 [size =\"41241600\"]\n  6 -> 21 [size =\"41241600\"]\n  6 -> 22 [size =\"41241600\"]\n  6 -> 27 [size =\"41241600\"]\n  6 -> 28 [size =\"41241600\"]\n  6 -> 29 [size =\"41241600\"]\n  7 [size=\"46008320\", alpha=\"0.14\", expect_size=\"18403328\"] \n  7 -> 15 [size =\"18403328\"]\n  7 -> 18 [size =\"18403328\"]\n  7 -> 21 [size =\"18403328\"]\n  7 -> 22 [size =\"18403328\"]\n  7 -> 23 [size =\"18403328\"]\n  7 -> 27 [size =\"18403328\"]\n  7 -> 27 [size =\"18403328\"]\n  7 -> 28 [size =\"18403328\"]\n  8 [size=\"51970560\", alpha=\"0.00\", expect_size=\"20788224\"] \n  8 -> 15 [size =\"20788224\"]\n  8 -> 18 [size =\"20788224\"]\n  8 -> 19 [size =\"20788224\"]\n  8 -> 21 [size =\"20788224\"]\n  8 -> 22 [size =\"20788224\"]\n  8 -> 23 [size =\"20788224\"]\n  8 -> 28 [size =\"20788224\"]\n  8 -> 29 [size =\"20788224\"]\n  9 [size=\"117342720\", alpha=\"0.05\", expect_size=\"46937088\"] \n  9 -> 15 [size =\"46937088\"]\n  9 -> 18 [size =\"46937088\"]\n  9 -> 19 [size =\"46937088\"]\n  9 -> 20 [size =\"46937088\"]\n  9 -> 21 [size =\"46937088\"]\n  9 -> 22 [size =\"46937088\"]\n  9 -> 23 [size =\"46937088\"]\n  9 -> 27 [size =\"46937088\"]\n  9 -> 28 [size =\"46937088\"]\n  9 -> 29 [size =\"46937088\"]\n  10 [size=\"38640640\", alpha=\"0.10\", expect_size=\"15456256\"] \n  10 -> 18 [size =\"15456256\"]\n  10 -> 18 [size =\"15456256\"]\n  10 -> 19 [size =\"15456256\"]\n  10 -> 23 [size =\"15456256\"]\n  10 -> 28 [size =\"15456256\"]\n  11 [size=\"39777280\", alpha=\"0.18\", expect_size=\"15910912\"] \n  11 -> 15 [size =\"15910912\"]\n  11 -> 16 [size =\"15910912\"]\n  11 -> 18 [size =\"15910912\"]\n  11 -> 19 [size =\"15910912\"]\n  11 -> 23 [size =\"15910912\"]\n  11 -> 24 [size =\"15910912\"]\n  11 -> 26 [size =\"15910912\"]\n  12 [size=\"62105600\", alpha=\"0.03\", expect_size=\"24842240\"] \n  12 -> 16 [size =\"24842240\"]\n  12 -> 18 [size =\"24842240\"]\n  12 -> 19 [size =\"24842240\"]\n  12 -> 22 [size =\"24842240\"]\n  12 -> 23 [size =\"24842240\"]\n  12 -> 27 [size =\"24842240\"]\n  12 -> 29 [size =\"24842240\"]\n  13 [size=\"51151360\", alpha=\"0.10\", expect_size=\"20460544\"] \n  13 -> 17 [size =\"20460544\"]\n  13 -> 20 [size =\"20460544\"]\n  13 -> 22 [size =\"20460544\"]\n  13 -> 23 [size =\"20460544\"]\n  13 -> 23 [size =\"20460544\"]\n  13 -> 26 [size =\"20460544\"]\n  13 -> 27 [size =\"20460544\"]\n  14 [size=\"96256000\", alpha=\"0.01\", expect_size=\"38502400\"] \n  14 -> 17 [size =\"38502400\"]\n  14 -> 20 [size =\"38502400\"]\n  14 -> 21 [size =\"38502400\"]\n  14 -> 22 [size =\"38502400\"]\n  14 -> 23 [size =\"38502400\"]\n  14 -> 24 [size =\"38502400\"]\n  14 -> 25 [size =\"38502400\"]\n  14 -> 26 [size =\"38502400\"]\n  14 -> 29 [size =\"38502400\"]\n  15 [size=\"26370560\", alpha=\"0.18\", expect_size=\"10548224\"] \n  15 -> 32 [size =\"10548224\"]\n  15 -> 41 [size =\"10548224\"]\n  15 -> 43 [size =\"10548224\"]\n  16 [size=\"24350720\", alpha=\"0.11\", expect_size=\"9740288\"] \n  16 -> 31 [size =\"9740288\"]\n  16 -> 32 [size =\"9740288\"]\n  16 -> 34 [size =\"9740288\"]\n  16 -> 35 [size =\"9740288\"]\n  16 -> 38 [size =\"9740288\"]\n  16 -> 43 [size =\"9740288\"]\n  17 [size=\"69698560\", alpha=\"0.16\", expect_size=\"27879424\"] \n  17 -> 31 [size =\"27879424\"]\n  17 -> 32 [size =\"27879424\"]\n  17 -> 34 [size =\"27879424\"]\n  17 -> 37 [size =\"27879424\"]\n  17 -> 41 [size =\"27879424\"]\n  18 [size=\"32394240\", alpha=\"0.17\", expect_size=\"12957696\"] \n  18 -> 31 [size =\"12957696\"]\n  18 -> 33 [size =\"12957696\"]\n  18 -> 34 [size =\"12957696\"]\n  18 -> 37 [size =\"12957696\"]\n  18 -> 38 [size =\"12957696\"]\n  18 -> 42 [size =\"12957696\"]\n  19 [size=\"34920960\", alpha=\"0.14\", expect_size=\"13968384\"] \n  19 -> 32 [size =\"13968384\"]\n  19 -> 34 [size =\"13968384\"]\n  19 -> 35 [size =\"13968384\"]\n  19 -> 37 [size =\"13968384\"]\n  20 [size=\"66859520\", alpha=\"0.06\", expect_size=\"26743808\"] \n  20 -> 34 [size =\"26743808\"]\n  20 -> 41 [size =\"26743808\"]\n  20 -> 42 [size =\"26743808\"]\n  21 [size=\"123077120\", alpha=\"0.06\", expect_size=\"49230848\"] \n  21 -> 34 [size =\"49230848\"]\n  21 -> 35 [size =\"49230848\"]\n  21 -> 36 [size =\"49230848\"]\n  21 -> 37 [size =\"49230848\"]\n  21 -> 42 [size =\"49230848\"]\n  22 [size=\"109790720\", alpha=\"0.13\", expect_size=\"43916288\"] \n  22 -> 31 [size =\"43916288\"]\n  22 -> 32 [size =\"43916288\"]\n  22 -> 33 [size =\"43916288\"]\n  22 -> 35 [size =\"43916288\"]\n  22 -> 36 [size =\"43916288\"]\n  22 -> 37 [size =\"43916288\"]\n  22 -> 39 [size =\"43916288\"]\n  22 -> 41 [size =\"43916288\"]\n  23 [size=\"126615040\", alpha=\"0.02\", expect_size=\"50646016\"] \n  23 -> 31 [size =\"50646016\"]\n  23 -> 36 [size =\"50646016\"]\n  23 -> 39 [size =\"50646016\"]\n  23 -> 42 [size =\"50646016\"]\n  24 [size=\"66222080\", alpha=\"0.20\", expect_size=\"26488832\"] \n  24 -> 31 [size =\"26488832\"]\n  24 -> 33 [size =\"26488832\"]\n  24 -> 35 [size =\"26488832\"]\n  25 [size=\"73172480\", alpha=\"0.18\", expect_size=\"29268992\"] \n  25 -> 30 [size =\"29268992\"]\n  25 -> 31 [size =\"29268992\"]\n  25 -> 32 [size =\"29268992\"]\n  25 -> 33 [size =\"29268992\"]\n  25 -> 35 [size =\"29268992\"]\n  25 -> 37 [size =\"29268992\"]\n  26 [size=\"61450240\", alpha=\"0.12\", expect_size=\"24580096\"] \n  26 -> 31 [size =\"24580096\"]\n  26 -> 33 [size =\"24580096\"]\n  26 -> 37 [size =\"24580096\"]\n  26 -> 39 [size =\"24580096\"]\n  27 [size=\"127395840\", alpha=\"0.12\", expect_size=\"50958336\"] \n  27 -> 33 [size =\"50958336\"]\n  27 -> 34 [size =\"50958336\"]\n  27 -> 35 [size =\"50958336\"]\n  27 -> 37 [size =\"50958336\"]\n  27 -> 42 [size =\"50958336\"]\n  28 [size=\"106168320\", alpha=\"0.18\", expect_size=\"42467328\"] \n  28 -> 31 [size =\"42467328\"]\n  28 -> 34 [size =\"42467328\"]\n  28 -> 35 [size =\"42467328\"]\n  29 [size=\"91066880\", alpha=\"0.02\", expect_size=\"36426752\"] \n  29 -> 34 [size =\"36426752\"]\n  29 -> 34 [size =\"36426752\"]\n  29 -> 35 [size =\"36426752\"]\n  29 -> 40 [size =\"36426752\"]\n  29 -> 42 [size =\"36426752\"]\n  30 [size=\"53004800\", alpha=\"0.10\", expect_size=\"21201920\"] \n  30 -> 49 [size =\"21201920\"]\n  31 [size=\"90007040\", alpha=\"0.03\", expect_size=\"36002816\"] \n  31 -> 44 [size =\"36002816\"]\n  31 -> 47 [size =\"36002816\"]\n  31 -> 48 [size =\"36002816\"]\n  31 -> 50 [size =\"36002816\"]\n  32 [size=\"122460160\", alpha=\"0.04\", expect_size=\"48984064\"] \n  32 -> 45 [size =\"48984064\"]\n  32 -> 46 [size =\"48984064\"]\n  32 -> 47 [size =\"48984064\"]\n  32 -> 50 [size =\"48984064\"]\n  33 [size=\"78384640\", alpha=\"0.11\", expect_size=\"31353856\"] \n  33 -> 46 [size =\"31353856\"]\n  33 -> 47 [size =\"31353856\"]\n  33 -> 47 [size =\"31353856\"]\n  33 -> 50 [size =\"31353856\"]\n  34 [size=\"87610880\", alpha=\"0.12\", expect_size=\"35044352\"] \n  34 -> 47 [size =\"35044352\"]\n  34 -> 49 [size =\"35044352\"]\n  34 -> 50 [size =\"35044352\"]\n  35 [size=\"84797440\", alpha=\"0.16\", expect_size=\"33918976\"] \n  35 -> 47 [size =\"33918976\"]\n  35 -> 48 [size =\"33918976\"]\n  35 -> 50 [size =\"33918976\"]\n  36 [size=\"74403840\", alpha=\"0.02\", expect_size=\"29761536\"] \n  36 -> 47 [size =\"29761536\"]\n  36 -> 50 [size =\"29761536\"]\n  37 [size=\"28469760\", alpha=\"0.17\", expect_size=\"11387904\"] \n  37 -> 47 [size =\"11387904\"]\n  37 -> 49 [size =\"11387904\"]\n  38 [size=\"97858560\", alpha=\"0.16\", expect_size=\"39143424\"] \n  38 -> 44 [size =\"39143424\"]\n  38 -> 50 [size =\"39143424\"]\n  39 [size=\"85504000\", alpha=\"0.18\", expect_size=\"34201600\"] \n  40 [size=\"95646720\", alpha=\"0.09\", expect_size=\"38258688\"] \n  40 -> 44 [size =\"38258688\"]\n  40 -> 46 [size =\"38258688\"]\n  40 -> 48 [size =\"38258688\"]\n  40 -> 50 [size =\"38258688\"]\n  41 [size=\"35855360\", alpha=\"0.19\", expect_size=\"14342144\"] \n  42 [size=\"50764800\", alpha=\"0.06\", expect_size=\"20305920\"] \n  42 -> 44 [size =\"20305920\"]\n  42 -> 47 [size =\"20305920\"]\n  42 -> 50 [size =\"20305920\"]\n  43 [size=\"71413760\", alpha=\"0.11\", expect_size=\"28565504\"] \n  43 -> 49 [size =\"28565504\"]\n  43 -> 50 [size =\"28565504\"]\n  44 [size=\"17879040\", alpha=\"0.06\", expect_size=\"7151616\"] \n  45 [size=\"91274240\", alpha=\"0.11\", expect_size=\"36509696\"] \n  46 [size=\"68938240\", alpha=\"0.04\", expect_size=\"27575296\"] \n  47 [size=\"80079360\", alpha=\"0.16\", expect_size=\"32031744\"] \n  48 [size=\"63321600\", alpha=\"0.04\", expect_size=\"25328640\"] \n  49 [size=\"37954560\", alpha=\"0.06\", expect_size=\"15181824\"] \n  50 [size=\"25794560\", alpha=\"0.14\", expect_size=\"10317824\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.26.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"91271168\", alpha=\"0.10\", expect_size=\"45635584\"] \n  1 -> 2 [size =\"45635584\"]\n  2 [size=\"12761088\", alpha=\"0.03\", expect_size=\"6380544\"] \n  2 -> 3 [size =\"6380544\"]\n  3 [size=\"38012928\", alpha=\"0.11\", expect_size=\"19006464\"] \n  3 -> 4 [size =\"19006464\"]\n  4 [size=\"89286656\", alpha=\"0.00\", expect_size=\"44643328\"] \n  4 -> 5 [size =\"44643328\"]\n  5 [size=\"97497088\", alpha=\"0.16\", expect_size=\"48748544\"] \n  5 -> 6 [size =\"48748544\"]\n  6 [size=\"24809472\", alpha=\"0.18\", expect_size=\"12404736\"] \n  6 -> 7 [size =\"12404736\"]\n  7 [size=\"84525056\", alpha=\"0.18\", expect_size=\"42262528\"] \n  7 -> 8 [size =\"42262528\"]\n  8 [size=\"103342080\", alpha=\"0.01\", expect_size=\"51671040\"] \n  8 -> 9 [size =\"51671040\"]\n  9 [size=\"91342848\", alpha=\"0.06\", expect_size=\"45671424\"] \n  9 -> 10 [size =\"45671424\"]\n  10 [size=\"14553088\", alpha=\"0.17\", expect_size=\"7276544\"] \n  10 -> 11 [size =\"7276544\"]\n  11 [size=\"65529856\", alpha=\"0.14\", expect_size=\"32764928\"] \n  11 -> 12 [size =\"32764928\"]\n  12 [size=\"19789824\", alpha=\"0.11\", expect_size=\"9894912\"] \n  12 -> 13 [size =\"9894912\"]\n  13 [size=\"32808960\", alpha=\"0.08\", expect_size=\"16404480\"] \n  13 -> 14 [size =\"16404480\"]\n  14 [size=\"82563072\", alpha=\"0.03\", expect_size=\"41281536\"] \n  14 -> 15 [size =\"41281536\"]\n  15 [size=\"82898944\", alpha=\"0.09\", expect_size=\"41449472\"] \n  15 -> 16 [size =\"41449472\"]\n  16 [size=\"62834688\", alpha=\"0.10\", expect_size=\"31417344\"] \n  16 -> 17 [size =\"31417344\"]\n  17 [size=\"55242752\", alpha=\"0.17\", expect_size=\"27621376\"] \n  17 -> 18 [size =\"27621376\"]\n  18 [size=\"47069184\", alpha=\"0.10\", expect_size=\"23534592\"] \n  18 -> 19 [size =\"23534592\"]\n  19 [size=\"53794816\", alpha=\"0.11\", expect_size=\"26897408\"] \n  19 -> 20 [size =\"26897408\"]\n  20 [size=\"79974400\", alpha=\"0.18\", expect_size=\"39987200\"] \n  20 -> 21 [size =\"39987200\"]\n  21 [size=\"65538048\", alpha=\"0.02\", expect_size=\"32769024\"] \n  21 -> 22 [size =\"32769024\"]\n  22 [size=\"38350848\", alpha=\"0.06\", expect_size=\"19175424\"] \n  22 -> 23 [size =\"19175424\"]\n  23 [size=\"92221440\", alpha=\"0.16\", expect_size=\"46110720\"] \n  23 -> 24 [size =\"46110720\"]\n  24 [size=\"34662400\", alpha=\"0.03\", expect_size=\"17331200\"] \n  24 -> 25 [size =\"17331200\"]\n  25 [size=\"46827520\", alpha=\"0.08\", expect_size=\"23413760\"] \n  25 -> 26 [size =\"23413760\"]\n  26 [size=\"88483840\", alpha=\"0.17\", expect_size=\"44241920\"] \n  26 -> 27 [size =\"44241920\"]\n  27 [size=\"42874880\", alpha=\"0.01\", expect_size=\"21437440\"] \n  27 -> 28 [size =\"21437440\"]\n  28 [size=\"26800128\", alpha=\"0.05\", expect_size=\"13400064\"] \n  28 -> 29 [size =\"13400064\"]\n  29 [size=\"73353216\", alpha=\"0.06\", expect_size=\"36676608\"] \n  29 -> 30 [size =\"36676608\"]\n  30 [size=\"30785536\", alpha=\"0.07\", expect_size=\"15392768\"] \n  30 -> 31 [size =\"15392768\"]\n  31 [size=\"20142080\", alpha=\"0.01\", expect_size=\"10071040\"] \n  31 -> 32 [size =\"10071040\"]\n  32 [size=\"27834368\", alpha=\"0.16\", expect_size=\"13917184\"] \n  32 -> 33 [size =\"13917184\"]\n  33 [size=\"56141824\", alpha=\"0.16\", expect_size=\"28070912\"] \n  33 -> 34 [size =\"28070912\"]\n  34 [size=\"38221824\", alpha=\"0.12\", expect_size=\"19110912\"] \n  34 -> 35 [size =\"19110912\"]\n  35 [size=\"52877312\", alpha=\"0.02\", expect_size=\"26438656\"] \n  35 -> 36 [size =\"26438656\"]\n  36 [size=\"92747776\", alpha=\"0.04\", expect_size=\"46373888\"] \n  36 -> 37 [size =\"46373888\"]\n  37 [size=\"77785088\", alpha=\"0.15\", expect_size=\"38892544\"] \n  37 -> 38 [size =\"38892544\"]\n  38 [size=\"82034688\", alpha=\"0.15\", expect_size=\"41017344\"] \n  38 -> 39 [size =\"41017344\"]\n  39 [size=\"103976960\", alpha=\"0.03\", expect_size=\"51988480\"] \n  39 -> 40 [size =\"51988480\"]\n  40 [size=\"35729408\", alpha=\"0.06\", expect_size=\"17864704\"] \n  40 -> 41 [size =\"17864704\"]\n  41 [size=\"70100992\", alpha=\"0.00\", expect_size=\"35050496\"] \n  41 -> 42 [size =\"35050496\"]\n  42 [size=\"73392128\", alpha=\"0.01\", expect_size=\"36696064\"] \n  42 -> 43 [size =\"36696064\"]\n  43 [size=\"54910976\", alpha=\"0.19\", expect_size=\"27455488\"] \n  43 -> 44 [size =\"27455488\"]\n  44 [size=\"36982784\", alpha=\"0.02\", expect_size=\"18491392\"] \n  44 -> 45 [size =\"18491392\"]\n  45 [size=\"91682816\", alpha=\"0.13\", expect_size=\"45841408\"] \n  45 -> 46 [size =\"45841408\"]\n  46 [size=\"102684672\", alpha=\"0.20\", expect_size=\"51342336\"] \n  46 -> 47 [size =\"51342336\"]\n  47 [size=\"27967488\", alpha=\"0.14\", expect_size=\"13983744\"] \n  47 -> 48 [size =\"13983744\"]\n  48 [size=\"101029888\", alpha=\"0.11\", expect_size=\"50514944\"] \n  48 -> 49 [size =\"50514944\"]\n  49 [size=\"75343872\", alpha=\"0.02\", expect_size=\"37671936\"] \n  49 -> 50 [size =\"37671936\"]\n  50 [size=\"88592384\", alpha=\"0.17\", expect_size=\"44296192\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.27.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"59758592\", alpha=\"0.13\", expect_size=\"29879296\"] \n  1 -> 2 [size =\"29879296\"]\n  2 [size=\"65896448\", alpha=\"0.05\", expect_size=\"32948224\"] \n  2 -> 3 [size =\"32948224\"]\n  3 [size=\"39159808\", alpha=\"0.10\", expect_size=\"19579904\"] \n  3 -> 4 [size =\"19579904\"]\n  4 [size=\"12552192\", alpha=\"0.14\", expect_size=\"6276096\"] \n  4 -> 5 [size =\"6276096\"]\n  5 [size=\"104808448\", alpha=\"0.07\", expect_size=\"52404224\"] \n  5 -> 6 [size =\"52404224\"]\n  6 [size=\"34947072\", alpha=\"0.15\", expect_size=\"17473536\"] \n  6 -> 7 [size =\"17473536\"]\n  7 [size=\"71172096\", alpha=\"0.02\", expect_size=\"35586048\"] \n  7 -> 8 [size =\"35586048\"]\n  8 [size=\"35209216\", alpha=\"0.09\", expect_size=\"17604608\"] \n  8 -> 9 [size =\"17604608\"]\n  9 [size=\"44089344\", alpha=\"0.07\", expect_size=\"22044672\"] \n  9 -> 10 [size =\"22044672\"]\n  10 [size=\"74838016\", alpha=\"0.02\", expect_size=\"37419008\"] \n  10 -> 11 [size =\"37419008\"]\n  11 [size=\"33792000\", alpha=\"0.06\", expect_size=\"16896000\"] \n  11 -> 12 [size =\"16896000\"]\n  12 [size=\"94887936\", alpha=\"0.05\", expect_size=\"47443968\"] \n  12 -> 13 [size =\"47443968\"]\n  13 [size=\"21995520\", alpha=\"0.11\", expect_size=\"10997760\"] \n  13 -> 14 [size =\"10997760\"]\n  14 [size=\"69707776\", alpha=\"0.17\", expect_size=\"34853888\"] \n  14 -> 15 [size =\"34853888\"]\n  15 [size=\"42407936\", alpha=\"0.14\", expect_size=\"21203968\"] \n  15 -> 16 [size =\"21203968\"]\n  16 [size=\"73283584\", alpha=\"0.02\", expect_size=\"36641792\"] \n  16 -> 17 [size =\"36641792\"]\n  17 [size=\"47949824\", alpha=\"0.12\", expect_size=\"23974912\"] \n  17 -> 18 [size =\"23974912\"]\n  18 [size=\"57933824\", alpha=\"0.08\", expect_size=\"28966912\"] \n  18 -> 19 [size =\"28966912\"]\n  19 [size=\"101742592\", alpha=\"0.01\", expect_size=\"50871296\"] \n  19 -> 20 [size =\"50871296\"]\n  20 [size=\"40325120\", alpha=\"0.16\", expect_size=\"20162560\"] \n  20 -> 21 [size =\"20162560\"]\n  21 [size=\"51644416\", alpha=\"0.03\", expect_size=\"25822208\"] \n  21 -> 22 [size =\"25822208\"]\n  22 [size=\"82087936\", alpha=\"0.00\", expect_size=\"41043968\"] \n  22 -> 23 [size =\"41043968\"]\n  23 [size=\"11429888\", alpha=\"0.04\", expect_size=\"5714944\"] \n  23 -> 24 [size =\"5714944\"]\n  24 [size=\"63064064\", alpha=\"0.09\", expect_size=\"31532032\"] \n  24 -> 25 [size =\"31532032\"]\n  25 [size=\"51210240\", alpha=\"0.13\", expect_size=\"25605120\"] \n  25 -> 26 [size =\"25605120\"]\n  26 [size=\"23814144\", alpha=\"0.03\", expect_size=\"11907072\"] \n  26 -> 27 [size =\"11907072\"]\n  27 [size=\"33828864\", alpha=\"0.05\", expect_size=\"16914432\"] \n  27 -> 28 [size =\"16914432\"]\n  28 [size=\"92686336\", alpha=\"0.13\", expect_size=\"46343168\"] \n  28 -> 29 [size =\"46343168\"]\n  29 [size=\"34996224\", alpha=\"0.08\", expect_size=\"17498112\"] \n  29 -> 30 [size =\"17498112\"]\n  30 [size=\"38760448\", alpha=\"0.16\", expect_size=\"19380224\"] \n  30 -> 31 [size =\"19380224\"]\n  31 [size=\"22142976\", alpha=\"0.09\", expect_size=\"11071488\"] \n  31 -> 32 [size =\"11071488\"]\n  32 [size=\"34418688\", alpha=\"0.01\", expect_size=\"17209344\"] \n  32 -> 33 [size =\"17209344\"]\n  33 [size=\"36624384\", alpha=\"0.14\", expect_size=\"18312192\"] \n  33 -> 34 [size =\"18312192\"]\n  34 [size=\"57436160\", alpha=\"0.01\", expect_size=\"28718080\"] \n  34 -> 35 [size =\"28718080\"]\n  35 [size=\"98924544\", alpha=\"0.14\", expect_size=\"49462272\"] \n  35 -> 36 [size =\"49462272\"]\n  36 [size=\"66666496\", alpha=\"0.20\", expect_size=\"33333248\"] \n  36 -> 37 [size =\"33333248\"]\n  37 [size=\"79497216\", alpha=\"0.14\", expect_size=\"39748608\"] \n  37 -> 38 [size =\"39748608\"]\n  38 [size=\"103731200\", alpha=\"0.18\", expect_size=\"51865600\"] \n  38 -> 39 [size =\"51865600\"]\n  39 [size=\"69722112\", alpha=\"0.02\", expect_size=\"34861056\"] \n  39 -> 40 [size =\"34861056\"]\n  40 [size=\"11075584\", alpha=\"0.12\", expect_size=\"5537792\"] \n  40 -> 41 [size =\"5537792\"]\n  41 [size=\"86513664\", alpha=\"0.11\", expect_size=\"43256832\"] \n  41 -> 42 [size =\"43256832\"]\n  42 [size=\"36231168\", alpha=\"0.05\", expect_size=\"18115584\"] \n  42 -> 43 [size =\"18115584\"]\n  43 [size=\"39002112\", alpha=\"0.19\", expect_size=\"19501056\"] \n  43 -> 44 [size =\"19501056\"]\n  44 [size=\"11966464\", alpha=\"0.04\", expect_size=\"5983232\"] \n  44 -> 45 [size =\"5983232\"]\n  45 [size=\"14350336\", alpha=\"0.18\", expect_size=\"7175168\"] \n  45 -> 46 [size =\"7175168\"]\n  46 [size=\"78073856\", alpha=\"0.14\", expect_size=\"39036928\"] \n  46 -> 47 [size =\"39036928\"]\n  47 [size=\"77195264\", alpha=\"0.16\", expect_size=\"38597632\"] \n  47 -> 48 [size =\"38597632\"]\n  48 [size=\"49174528\", alpha=\"0.15\", expect_size=\"24587264\"] \n  48 -> 49 [size =\"24587264\"]\n  49 [size=\"41465856\", alpha=\"0.19\", expect_size=\"20732928\"] \n  49 -> 50 [size =\"20732928\"]\n  50 [size=\"50954240\", alpha=\"0.09\", expect_size=\"25477120\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.28.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110708053\", alpha=\"0.20\", expect_size=\"33212416\"] \n  1 -> 4 [size =\"33212416\"]\n  2 [size=\"172793173\", alpha=\"0.14\", expect_size=\"51837952\"] \n  2 -> 3 [size =\"51837952\"]\n  2 -> 4 [size =\"51837952\"]\n  3 [size=\"66150400\", alpha=\"0.09\", expect_size=\"19845120\"] \n  3 -> 5 [size =\"19845120\"]\n  4 [size=\"125412693\", alpha=\"0.18\", expect_size=\"37623808\"] \n  4 -> 6 [size =\"37623808\"]\n  5 [size=\"173844480\", alpha=\"0.07\", expect_size=\"52153344\"] \n  5 -> 7 [size =\"52153344\"]\n  5 -> 8 [size =\"52153344\"]\n  6 [size=\"83746133\", alpha=\"0.14\", expect_size=\"25123840\"] \n  7 [size=\"108489387\", alpha=\"0.12\", expect_size=\"32546816\"] \n  7 -> 9 [size =\"32546816\"]\n  7 -> 10 [size =\"32546816\"]\n  8 [size=\"54067200\", alpha=\"0.08\", expect_size=\"16220160\"] \n  8 -> 9 [size =\"16220160\"]\n  9 [size=\"172421120\", alpha=\"0.01\", expect_size=\"51726336\"] \n  9 -> 11 [size =\"51726336\"]\n  9 -> 12 [size =\"51726336\"]\n  9 -> 13 [size =\"51726336\"]\n  10 [size=\"113005227\", alpha=\"0.14\", expect_size=\"33901568\"] \n  10 -> 11 [size =\"33901568\"]\n  10 -> 12 [size =\"33901568\"]\n  11 [size=\"70164480\", alpha=\"0.18\", expect_size=\"21049344\"] \n  11 -> 15 [size =\"21049344\"]\n  12 [size=\"68314453\", alpha=\"0.19\", expect_size=\"20494336\"] \n  12 -> 14 [size =\"20494336\"]\n  13 [size=\"20544853\", alpha=\"0.13\", expect_size=\"6163456\"] \n  14 [size=\"87886507\", alpha=\"0.12\", expect_size=\"26365952\"] \n  14 -> 16 [size =\"26365952\"]\n  15 [size=\"73615360\", alpha=\"0.12\", expect_size=\"22084608\"] \n  15 -> 17 [size =\"22084608\"]\n  16 [size=\"126682453\", alpha=\"0.07\", expect_size=\"38004736\"] \n  17 [size=\"77991253\", alpha=\"0.03\", expect_size=\"23397376\"] \n  17 -> 18 [size =\"23397376\"]\n  17 -> 19 [size =\"23397376\"]\n  18 [size=\"172861440\", alpha=\"0.16\", expect_size=\"51858432\"] \n  18 -> 21 [size =\"51858432\"]\n  18 -> 22 [size =\"51858432\"]\n  19 [size=\"77045760\", alpha=\"0.19\", expect_size=\"23113728\"] \n  19 -> 20 [size =\"23113728\"]\n  19 -> 21 [size =\"23113728\"]\n  19 -> 22 [size =\"23113728\"]\n  20 [size=\"85497173\", alpha=\"0.00\", expect_size=\"25649152\"] \n  20 -> 23 [size =\"25649152\"]\n  20 -> 24 [size =\"25649152\"]\n  21 [size=\"37321387\", alpha=\"0.14\", expect_size=\"11196416\"] \n  21 -> 24 [size =\"11196416\"]\n  21 -> 25 [size =\"11196416\"]\n  22 [size=\"21862400\", alpha=\"0.07\", expect_size=\"6558720\"] \n  22 -> 23 [size =\"6558720\"]\n  22 -> 25 [size =\"6558720\"]\n  23 [size=\"173124267\", alpha=\"0.06\", expect_size=\"51937280\"] \n  23 -> 28 [size =\"51937280\"]\n  24 [size=\"118917120\", alpha=\"0.20\", expect_size=\"35675136\"] \n  24 -> 26 [size =\"35675136\"]\n  24 -> 27 [size =\"35675136\"]\n  24 -> 28 [size =\"35675136\"]\n  25 [size=\"59463680\", alpha=\"0.13\", expect_size=\"17839104\"] \n  26 [size=\"155549013\", alpha=\"0.14\", expect_size=\"46664704\"] \n  26 -> 30 [size =\"46664704\"]\n  27 [size=\"51128320\", alpha=\"0.07\", expect_size=\"15338496\"] \n  27 -> 29 [size =\"15338496\"]\n  27 -> 31 [size =\"15338496\"]\n  28 [size=\"74755413\", alpha=\"0.05\", expect_size=\"22426624\"] \n  28 -> 29 [size =\"22426624\"]\n  28 -> 30 [size =\"22426624\"]\n  29 [size=\"40434347\", alpha=\"0.02\", expect_size=\"12130304\"] \n  29 -> 33 [size =\"12130304\"]\n  29 -> 34 [size =\"12130304\"]\n  30 [size=\"30146560\", alpha=\"0.12\", expect_size=\"9043968\"] \n  30 -> 34 [size =\"9043968\"]\n  31 [size=\"32542720\", alpha=\"0.08\", expect_size=\"9762816\"] \n  31 -> 32 [size =\"9762816\"]\n  32 [size=\"140851200\", alpha=\"0.10\", expect_size=\"42255360\"] \n  32 -> 37 [size =\"42255360\"]\n  33 [size=\"38536533\", alpha=\"0.14\", expect_size=\"11560960\"] \n  33 -> 35 [size =\"11560960\"]\n  34 [size=\"88852480\", alpha=\"0.06\", expect_size=\"26655744\"] \n  34 -> 36 [size =\"26655744\"]\n  34 -> 37 [size =\"26655744\"]\n  35 [size=\"85155840\", alpha=\"0.05\", expect_size=\"25546752\"] \n  35 -> 38 [size =\"25546752\"]\n  35 -> 39 [size =\"25546752\"]\n  36 [size=\"26535253\", alpha=\"0.18\", expect_size=\"7960576\"] \n  36 -> 40 [size =\"7960576\"]\n  37 [size=\"136550400\", alpha=\"0.19\", expect_size=\"40965120\"] \n  37 -> 38 [size =\"40965120\"]\n  38 [size=\"34351787\", alpha=\"0.19\", expect_size=\"10305536\"] \n  39 [size=\"71113387\", alpha=\"0.07\", expect_size=\"21334016\"] \n  39 -> 41 [size =\"21334016\"]\n  39 -> 42 [size =\"21334016\"]\n  40 [size=\"87203840\", alpha=\"0.04\", expect_size=\"26161152\"] \n  40 -> 43 [size =\"26161152\"]\n  41 [size=\"20865707\", alpha=\"0.03\", expect_size=\"6259712\"] \n  41 -> 46 [size =\"6259712\"]\n  42 [size=\"82080427\", alpha=\"0.03\", expect_size=\"24624128\"] \n  42 -> 44 [size =\"24624128\"]\n  42 -> 45 [size =\"24624128\"]\n  43 [size=\"164399787\", alpha=\"0.03\", expect_size=\"49319936\"] \n  43 -> 46 [size =\"49319936\"]\n  44 [size=\"113602560\", alpha=\"0.15\", expect_size=\"34080768\"] \n  44 -> 47 [size =\"34080768\"]\n  44 -> 48 [size =\"34080768\"]\n  45 [size=\"157395627\", alpha=\"0.13\", expect_size=\"47218688\"] \n  45 -> 49 [size =\"47218688\"]\n  46 [size=\"37338453\", alpha=\"0.08\", expect_size=\"11201536\"] \n  46 -> 47 [size =\"11201536\"]\n  46 -> 48 [size =\"11201536\"]\n  47 [size=\"19933867\", alpha=\"0.08\", expect_size=\"5980160\"] \n  47 -> 50 [size =\"5980160\"]\n  48 [size=\"165693440\", alpha=\"0.15\", expect_size=\"49708032\"] \n  49 [size=\"158146560\", alpha=\"0.05\", expect_size=\"47443968\"] \n  50 [size=\"56862720\", alpha=\"0.16\", expect_size=\"17058816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.29.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60249600\", alpha=\"0.10\", expect_size=\"24099840\"] \n  1 -> 4 [size =\"24099840\"]\n  1 -> 5 [size =\"24099840\"]\n  1 -> 6 [size =\"24099840\"]\n  2 [size=\"91146240\", alpha=\"0.02\", expect_size=\"36458496\"] \n  2 -> 4 [size =\"36458496\"]\n  2 -> 5 [size =\"36458496\"]\n  3 [size=\"86346240\", alpha=\"0.14\", expect_size=\"34538496\"] \n  3 -> 4 [size =\"34538496\"]\n  3 -> 5 [size =\"34538496\"]\n  3 -> 6 [size =\"34538496\"]\n  4 [size=\"50839040\", alpha=\"0.17\", expect_size=\"20335616\"] \n  4 -> 7 [size =\"20335616\"]\n  5 [size=\"118033920\", alpha=\"0.10\", expect_size=\"47213568\"] \n  5 -> 7 [size =\"47213568\"]\n  6 [size=\"127078400\", alpha=\"0.04\", expect_size=\"50831360\"] \n  7 [size=\"19013120\", alpha=\"0.17\", expect_size=\"7605248\"] \n  7 -> 8 [size =\"7605248\"]\n  7 -> 9 [size =\"7605248\"]\n  7 -> 10 [size =\"7605248\"]\n  8 [size=\"29936640\", alpha=\"0.17\", expect_size=\"11974656\"] \n  8 -> 11 [size =\"11974656\"]\n  8 -> 12 [size =\"11974656\"]\n  8 -> 13 [size =\"11974656\"]\n  9 [size=\"39959040\", alpha=\"0.07\", expect_size=\"15983616\"] \n  10 [size=\"102476800\", alpha=\"0.12\", expect_size=\"40990720\"] \n  10 -> 12 [size =\"40990720\"]\n  10 -> 13 [size =\"40990720\"]\n  11 [size=\"22366720\", alpha=\"0.16\", expect_size=\"8946688\"] \n  11 -> 15 [size =\"8946688\"]\n  11 -> 15 [size =\"8946688\"]\n  11 -> 16 [size =\"8946688\"]\n  12 [size=\"84267520\", alpha=\"0.11\", expect_size=\"33707008\"] \n  12 -> 14 [size =\"33707008\"]\n  12 -> 16 [size =\"33707008\"]\n  13 [size=\"95065600\", alpha=\"0.08\", expect_size=\"38026240\"] \n  13 -> 14 [size =\"38026240\"]\n  13 -> 15 [size =\"38026240\"]\n  13 -> 16 [size =\"38026240\"]\n  14 [size=\"60533760\", alpha=\"0.17\", expect_size=\"24213504\"] \n  14 -> 17 [size =\"24213504\"]\n  15 [size=\"41282560\", alpha=\"0.02\", expect_size=\"16513024\"] \n  15 -> 17 [size =\"16513024\"]\n  16 [size=\"102300160\", alpha=\"0.12\", expect_size=\"40920064\"] \n  16 -> 17 [size =\"40920064\"]\n  17 [size=\"128276480\", alpha=\"0.16\", expect_size=\"51310592\"] \n  17 -> 18 [size =\"51310592\"]\n  17 -> 19 [size =\"51310592\"]\n  18 [size=\"112384000\", alpha=\"0.17\", expect_size=\"44953600\"] \n  18 -> 20 [size =\"44953600\"]\n  19 [size=\"97556480\", alpha=\"0.18\", expect_size=\"39022592\"] \n  19 -> 20 [size =\"39022592\"]\n  19 -> 21 [size =\"39022592\"]\n  19 -> 22 [size =\"39022592\"]\n  20 [size=\"19266560\", alpha=\"0.19\", expect_size=\"7706624\"] \n  21 [size=\"87761920\", alpha=\"0.09\", expect_size=\"35104768\"] \n  21 -> 23 [size =\"35104768\"]\n  22 [size=\"66357760\", alpha=\"0.12\", expect_size=\"26543104\"] \n  23 [size=\"14146560\", alpha=\"0.08\", expect_size=\"5658624\"] \n  23 -> 24 [size =\"5658624\"]\n  23 -> 25 [size =\"5658624\"]\n  23 -> 26 [size =\"5658624\"]\n  24 [size=\"59325440\", alpha=\"0.10\", expect_size=\"23730176\"] \n  24 -> 27 [size =\"23730176\"]\n  24 -> 29 [size =\"23730176\"]\n  25 [size=\"41016320\", alpha=\"0.09\", expect_size=\"16406528\"] \n  25 -> 27 [size =\"16406528\"]\n  25 -> 29 [size =\"16406528\"]\n  26 [size=\"53327360\", alpha=\"0.08\", expect_size=\"21330944\"] \n  26 -> 27 [size =\"21330944\"]\n  26 -> 28 [size =\"21330944\"]\n  26 -> 29 [size =\"21330944\"]\n  27 [size=\"125772800\", alpha=\"0.08\", expect_size=\"50309120\"] \n  28 [size=\"102192640\", alpha=\"0.11\", expect_size=\"40877056\"] \n  28 -> 30 [size =\"40877056\"]\n  29 [size=\"84014080\", alpha=\"0.19\", expect_size=\"33605632\"] \n  30 [size=\"70036480\", alpha=\"0.01\", expect_size=\"28014592\"] \n  30 -> 31 [size =\"28014592\"]\n  30 -> 32 [size =\"28014592\"]\n  30 -> 33 [size =\"28014592\"]\n  30 -> 34 [size =\"28014592\"]\n  31 [size=\"66905600\", alpha=\"0.05\", expect_size=\"26762240\"] \n  32 [size=\"121766400\", alpha=\"0.01\", expect_size=\"48706560\"] \n  32 -> 35 [size =\"48706560\"]\n  33 [size=\"76728320\", alpha=\"0.12\", expect_size=\"30691328\"] \n  34 [size=\"123000320\", alpha=\"0.10\", expect_size=\"49200128\"] \n  35 [size=\"62382080\", alpha=\"0.13\", expect_size=\"24952832\"] \n  35 -> 36 [size =\"24952832\"]\n  36 [size=\"117770240\", alpha=\"0.11\", expect_size=\"47108096\"] \n  36 -> 37 [size =\"47108096\"]\n  36 -> 38 [size =\"47108096\"]\n  36 -> 39 [size =\"47108096\"]\n  36 -> 40 [size =\"47108096\"]\n  37 [size=\"49239040\", alpha=\"0.08\", expect_size=\"19695616\"] \n  37 -> 41 [size =\"19695616\"]\n  37 -> 42 [size =\"19695616\"]\n  38 [size=\"98631680\", alpha=\"0.03\", expect_size=\"39452672\"] \n  38 -> 41 [size =\"39452672\"]\n  38 -> 42 [size =\"39452672\"]\n  39 [size=\"46845440\", alpha=\"0.11\", expect_size=\"18738176\"] \n  39 -> 41 [size =\"18738176\"]\n  40 [size=\"38699520\", alpha=\"0.01\", expect_size=\"15479808\"] \n  40 -> 41 [size =\"15479808\"]\n  41 [size=\"45601280\", alpha=\"0.03\", expect_size=\"18240512\"] \n  41 -> 43 [size =\"18240512\"]\n  41 -> 44 [size =\"18240512\"]\n  41 -> 45 [size =\"18240512\"]\n  42 [size=\"76810240\", alpha=\"0.15\", expect_size=\"30724096\"] \n  42 -> 43 [size =\"30724096\"]\n  42 -> 44 [size =\"30724096\"]\n  43 [size=\"85521920\", alpha=\"0.06\", expect_size=\"34208768\"] \n  43 -> 46 [size =\"34208768\"]\n  44 [size=\"35732480\", alpha=\"0.06\", expect_size=\"14292992\"] \n  44 -> 46 [size =\"14292992\"]\n  45 [size=\"92833280\", alpha=\"0.10\", expect_size=\"37133312\"] \n  45 -> 46 [size =\"37133312\"]\n  46 [size=\"49072640\", alpha=\"0.01\", expect_size=\"19629056\"] \n  46 -> 47 [size =\"19629056\"]\n  46 -> 48 [size =\"19629056\"]\n  47 [size=\"111605760\", alpha=\"0.11\", expect_size=\"44642304\"] \n  47 -> 49 [size =\"44642304\"]\n  47 -> 50 [size =\"44642304\"]\n  48 [size=\"41712640\", alpha=\"0.16\", expect_size=\"16685056\"] \n  48 -> 49 [size =\"16685056\"]\n  49 [size=\"56637440\", alpha=\"0.14\", expect_size=\"22654976\"] \n  50 [size=\"122864640\", alpha=\"0.00\", expect_size=\"49145856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.3.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"43707733\", alpha=\"0.11\", expect_size=\"13112320\"] \n  1 -> 3 [size =\"13112320\"]\n  1 -> 4 [size =\"13112320\"]\n  2 [size=\"67621547\", alpha=\"0.12\", expect_size=\"20286464\"] \n  3 [size=\"46493013\", alpha=\"0.03\", expect_size=\"13947904\"] \n  3 -> 5 [size =\"13947904\"]\n  4 [size=\"18015573\", alpha=\"0.08\", expect_size=\"5404672\"] \n  4 -> 6 [size =\"5404672\"]\n  4 -> 7 [size =\"5404672\"]\n  5 [size=\"109253973\", alpha=\"0.13\", expect_size=\"32776192\"] \n  5 -> 9 [size =\"32776192\"]\n  6 [size=\"103874560\", alpha=\"0.15\", expect_size=\"31162368\"] \n  7 [size=\"103628800\", alpha=\"0.19\", expect_size=\"31088640\"] \n  7 -> 8 [size =\"31088640\"]\n  7 -> 9 [size =\"31088640\"]\n  8 [size=\"111199573\", alpha=\"0.01\", expect_size=\"33359872\"] \n  8 -> 11 [size =\"33359872\"]\n  9 [size=\"100833280\", alpha=\"0.07\", expect_size=\"30249984\"] \n  9 -> 10 [size =\"30249984\"]\n  10 [size=\"168762027\", alpha=\"0.07\", expect_size=\"50628608\"] \n  10 -> 13 [size =\"50628608\"]\n  10 -> 14 [size =\"50628608\"]\n  11 [size=\"149964800\", alpha=\"0.19\", expect_size=\"44989440\"] \n  11 -> 12 [size =\"44989440\"]\n  12 [size=\"76731733\", alpha=\"0.13\", expect_size=\"23019520\"] \n  13 [size=\"168082773\", alpha=\"0.17\", expect_size=\"50424832\"] \n  13 -> 16 [size =\"50424832\"]\n  13 -> 17 [size =\"50424832\"]\n  14 [size=\"33515520\", alpha=\"0.04\", expect_size=\"10054656\"] \n  14 -> 15 [size =\"10054656\"]\n  14 -> 16 [size =\"10054656\"]\n  15 [size=\"93201067\", alpha=\"0.14\", expect_size=\"27960320\"] \n  15 -> 19 [size =\"27960320\"]\n  16 [size=\"40362667\", alpha=\"0.02\", expect_size=\"12108800\"] \n  16 -> 18 [size =\"12108800\"]\n  17 [size=\"160962560\", alpha=\"0.02\", expect_size=\"48288768\"] \n  17 -> 18 [size =\"48288768\"]\n  18 [size=\"149623467\", alpha=\"0.18\", expect_size=\"44887040\"] \n  18 -> 20 [size =\"44887040\"]\n  18 -> 21 [size =\"44887040\"]\n  19 [size=\"153999360\", alpha=\"0.08\", expect_size=\"46199808\"] \n  19 -> 22 [size =\"46199808\"]\n  20 [size=\"55425707\", alpha=\"0.03\", expect_size=\"16627712\"] \n  21 [size=\"107103573\", alpha=\"0.02\", expect_size=\"32131072\"] \n  22 [size=\"99310933\", alpha=\"0.07\", expect_size=\"29793280\"] \n  22 -> 23 [size =\"29793280\"]\n  22 -> 24 [size =\"29793280\"]\n  22 -> 25 [size =\"29793280\"]\n  23 [size=\"48083627\", alpha=\"0.16\", expect_size=\"14425088\"] \n  23 -> 26 [size =\"14425088\"]\n  24 [size=\"24497493\", alpha=\"0.05\", expect_size=\"7349248\"] \n  25 [size=\"59770880\", alpha=\"0.05\", expect_size=\"17931264\"] \n  25 -> 26 [size =\"17931264\"]\n  25 -> 27 [size =\"17931264\"]\n  26 [size=\"169045333\", alpha=\"0.17\", expect_size=\"50713600\"] \n  26 -> 29 [size =\"50713600\"]\n  27 [size=\"27258880\", alpha=\"0.20\", expect_size=\"8177664\"] \n  27 -> 28 [size =\"8177664\"]\n  28 [size=\"41004373\", alpha=\"0.14\", expect_size=\"12301312\"] \n  28 -> 30 [size =\"12301312\"]\n  28 -> 32 [size =\"12301312\"]\n  29 [size=\"23005867\", alpha=\"0.19\", expect_size=\"6901760\"] \n  29 -> 31 [size =\"6901760\"]\n  30 [size=\"84486827\", alpha=\"0.03\", expect_size=\"25346048\"] \n  31 [size=\"110018560\", alpha=\"0.04\", expect_size=\"33005568\"] \n  31 -> 33 [size =\"33005568\"]\n  31 -> 34 [size =\"33005568\"]\n  32 [size=\"125839360\", alpha=\"0.13\", expect_size=\"37751808\"] \n  33 [size=\"24808107\", alpha=\"0.01\", expect_size=\"7442432\"] \n  33 -> 36 [size =\"7442432\"]\n  34 [size=\"150507520\", alpha=\"0.11\", expect_size=\"45152256\"] \n  34 -> 35 [size =\"45152256\"]\n  34 -> 37 [size =\"45152256\"]\n  35 [size=\"31627947\", alpha=\"0.10\", expect_size=\"9488384\"] \n  35 -> 39 [size =\"9488384\"]\n  36 [size=\"74516480\", alpha=\"0.12\", expect_size=\"22354944\"] \n  36 -> 38 [size =\"22354944\"]\n  36 -> 40 [size =\"22354944\"]\n  37 [size=\"50998613\", alpha=\"0.13\", expect_size=\"15299584\"] \n  37 -> 39 [size =\"15299584\"]\n  37 -> 40 [size =\"15299584\"]\n  38 [size=\"47237120\", alpha=\"0.11\", expect_size=\"14171136\"] \n  38 -> 41 [size =\"14171136\"]\n  38 -> 42 [size =\"14171136\"]\n  39 [size=\"156955307\", alpha=\"0.05\", expect_size=\"47086592\"] \n  40 [size=\"148930560\", alpha=\"0.05\", expect_size=\"44679168\"] \n  40 -> 42 [size =\"44679168\"]\n  41 [size=\"174458880\", alpha=\"0.16\", expect_size=\"52337664\"] \n  42 [size=\"51456000\", alpha=\"0.17\", expect_size=\"15436800\"] \n  42 -> 43 [size =\"15436800\"]\n  42 -> 44 [size =\"15436800\"]\n  43 [size=\"153750187\", alpha=\"0.03\", expect_size=\"46125056\"] \n  44 [size=\"160092160\", alpha=\"0.09\", expect_size=\"48027648\"] \n  44 -> 45 [size =\"48027648\"]\n  44 -> 46 [size =\"48027648\"]\n  45 [size=\"86517760\", alpha=\"0.00\", expect_size=\"25955328\"] \n  45 -> 48 [size =\"25955328\"]\n  45 -> 49 [size =\"25955328\"]\n  46 [size=\"166045013\", alpha=\"0.11\", expect_size=\"49813504\"] \n  46 -> 47 [size =\"49813504\"]\n  47 [size=\"106984107\", alpha=\"0.03\", expect_size=\"32095232\"] \n  47 -> 50 [size =\"32095232\"]\n  48 [size=\"52831573\", alpha=\"0.18\", expect_size=\"15849472\"] \n  49 [size=\"135731200\", alpha=\"0.14\", expect_size=\"40719360\"] \n  50 [size=\"20346880\", alpha=\"0.19\", expect_size=\"6104064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.30.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46612480\", alpha=\"0.16\", expect_size=\"23306240\"] \n  1 -> 3 [size =\"23306240\"]\n  1 -> 4 [size =\"23306240\"]\n  2 [size=\"55078912\", alpha=\"0.02\", expect_size=\"27539456\"] \n  2 -> 4 [size =\"27539456\"]\n  3 [size=\"24543232\", alpha=\"0.16\", expect_size=\"12271616\"] \n  3 -> 5 [size =\"12271616\"]\n  3 -> 6 [size =\"12271616\"]\n  4 [size=\"99364864\", alpha=\"0.04\", expect_size=\"49682432\"] \n  4 -> 6 [size =\"49682432\"]\n  5 [size=\"48394240\", alpha=\"0.08\", expect_size=\"24197120\"] \n  6 [size=\"16578560\", alpha=\"0.14\", expect_size=\"8289280\"] \n  6 -> 7 [size =\"8289280\"]\n  6 -> 8 [size =\"8289280\"]\n  7 [size=\"95551488\", alpha=\"0.09\", expect_size=\"47775744\"] \n  7 -> 9 [size =\"47775744\"]\n  7 -> 10 [size =\"47775744\"]\n  7 -> 11 [size =\"47775744\"]\n  8 [size=\"19218432\", alpha=\"0.17\", expect_size=\"9609216\"] \n  8 -> 9 [size =\"9609216\"]\n  8 -> 10 [size =\"9609216\"]\n  8 -> 11 [size =\"9609216\"]\n  9 [size=\"62504960\", alpha=\"0.17\", expect_size=\"31252480\"] \n  9 -> 12 [size =\"31252480\"]\n  10 [size=\"48130048\", alpha=\"0.06\", expect_size=\"24065024\"] \n  10 -> 12 [size =\"24065024\"]\n  11 [size=\"36225024\", alpha=\"0.14\", expect_size=\"18112512\"] \n  11 -> 12 [size =\"18112512\"]\n  12 [size=\"17184768\", alpha=\"0.14\", expect_size=\"8592384\"] \n  12 -> 13 [size =\"8592384\"]\n  12 -> 14 [size =\"8592384\"]\n  13 [size=\"27766784\", alpha=\"0.13\", expect_size=\"13883392\"] \n  13 -> 15 [size =\"13883392\"]\n  13 -> 16 [size =\"13883392\"]\n  13 -> 17 [size =\"13883392\"]\n  13 -> 18 [size =\"13883392\"]\n  14 [size=\"102959104\", alpha=\"0.02\", expect_size=\"51479552\"] \n  14 -> 15 [size =\"51479552\"]\n  14 -> 16 [size =\"51479552\"]\n  14 -> 17 [size =\"51479552\"]\n  14 -> 18 [size =\"51479552\"]\n  15 [size=\"28518400\", alpha=\"0.15\", expect_size=\"14259200\"] \n  15 -> 19 [size =\"14259200\"]\n  15 -> 20 [size =\"14259200\"]\n  16 [size=\"68110336\", alpha=\"0.11\", expect_size=\"34055168\"] \n  16 -> 19 [size =\"34055168\"]\n  16 -> 21 [size =\"34055168\"]\n  17 [size=\"41361408\", alpha=\"0.03\", expect_size=\"20680704\"] \n  17 -> 19 [size =\"20680704\"]\n  18 [size=\"85514240\", alpha=\"0.14\", expect_size=\"42757120\"] \n  18 -> 19 [size =\"42757120\"]\n  18 -> 21 [size =\"42757120\"]\n  19 [size=\"72382464\", alpha=\"0.05\", expect_size=\"36191232\"] \n  19 -> 22 [size =\"36191232\"]\n  20 [size=\"59404288\", alpha=\"0.16\", expect_size=\"29702144\"] \n  20 -> 22 [size =\"29702144\"]\n  20 -> 23 [size =\"29702144\"]\n  20 -> 24 [size =\"29702144\"]\n  21 [size=\"85442560\", alpha=\"0.14\", expect_size=\"42721280\"] \n  21 -> 22 [size =\"42721280\"]\n  21 -> 23 [size =\"42721280\"]\n  22 [size=\"57298944\", alpha=\"0.02\", expect_size=\"28649472\"] \n  22 -> 25 [size =\"28649472\"]\n  22 -> 26 [size =\"28649472\"]\n  23 [size=\"27244544\", alpha=\"0.13\", expect_size=\"13622272\"] \n  23 -> 25 [size =\"13622272\"]\n  23 -> 26 [size =\"13622272\"]\n  24 [size=\"89434112\", alpha=\"0.03\", expect_size=\"44717056\"] \n  24 -> 26 [size =\"44717056\"]\n  25 [size=\"98115584\", alpha=\"0.00\", expect_size=\"49057792\"] \n  25 -> 27 [size =\"49057792\"]\n  25 -> 29 [size =\"49057792\"]\n  25 -> 30 [size =\"49057792\"]\n  26 [size=\"75300864\", alpha=\"0.19\", expect_size=\"37650432\"] \n  26 -> 27 [size =\"37650432\"]\n  26 -> 28 [size =\"37650432\"]\n  26 -> 29 [size =\"37650432\"]\n  26 -> 30 [size =\"37650432\"]\n  27 [size=\"32321536\", alpha=\"0.16\", expect_size=\"16160768\"] \n  27 -> 31 [size =\"16160768\"]\n  27 -> 32 [size =\"16160768\"]\n  28 [size=\"45746176\", alpha=\"0.15\", expect_size=\"22873088\"] \n  28 -> 32 [size =\"22873088\"]\n  28 -> 32 [size =\"22873088\"]\n  29 [size=\"17960960\", alpha=\"0.05\", expect_size=\"8980480\"] \n  30 [size=\"42227712\", alpha=\"0.03\", expect_size=\"21113856\"] \n  30 -> 32 [size =\"21113856\"]\n  31 [size=\"22808576\", alpha=\"0.06\", expect_size=\"11404288\"] \n  31 -> 33 [size =\"11404288\"]\n  31 -> 34 [size =\"11404288\"]\n  32 [size=\"90204160\", alpha=\"0.11\", expect_size=\"45102080\"] \n  33 [size=\"100265984\", alpha=\"0.19\", expect_size=\"50132992\"] \n  33 -> 35 [size =\"50132992\"]\n  33 -> 36 [size =\"50132992\"]\n  33 -> 37 [size =\"50132992\"]\n  33 -> 38 [size =\"50132992\"]\n  34 [size=\"67051520\", alpha=\"0.07\", expect_size=\"33525760\"] \n  34 -> 35 [size =\"33525760\"]\n  34 -> 36 [size =\"33525760\"]\n  34 -> 37 [size =\"33525760\"]\n  35 [size=\"79437824\", alpha=\"0.19\", expect_size=\"39718912\"] \n  36 [size=\"80965632\", alpha=\"0.03\", expect_size=\"40482816\"] \n  36 -> 39 [size =\"40482816\"]\n  37 [size=\"77725696\", alpha=\"0.14\", expect_size=\"38862848\"] \n  37 -> 39 [size =\"38862848\"]\n  38 [size=\"60416000\", alpha=\"0.00\", expect_size=\"30208000\"] \n  38 -> 39 [size =\"30208000\"]\n  39 [size=\"37767168\", alpha=\"0.20\", expect_size=\"18883584\"] \n  39 -> 40 [size =\"18883584\"]\n  39 -> 41 [size =\"18883584\"]\n  39 -> 42 [size =\"18883584\"]\n  39 -> 43 [size =\"18883584\"]\n  40 [size=\"61800448\", alpha=\"0.10\", expect_size=\"30900224\"] \n  40 -> 45 [size =\"30900224\"]\n  40 -> 47 [size =\"30900224\"]\n  41 [size=\"75790336\", alpha=\"0.16\", expect_size=\"37895168\"] \n  41 -> 44 [size =\"37895168\"]\n  41 -> 45 [size =\"37895168\"]\n  41 -> 46 [size =\"37895168\"]\n  41 -> 47 [size =\"37895168\"]\n  42 [size=\"11102208\", alpha=\"0.12\", expect_size=\"5551104\"] \n  42 -> 44 [size =\"5551104\"]\n  42 -> 46 [size =\"5551104\"]\n  42 -> 46 [size =\"5551104\"]\n  43 [size=\"63182848\", alpha=\"0.11\", expect_size=\"31591424\"] \n  43 -> 44 [size =\"31591424\"]\n  43 -> 45 [size =\"31591424\"]\n  43 -> 46 [size =\"31591424\"]\n  44 [size=\"60569600\", alpha=\"0.07\", expect_size=\"30284800\"] \n  44 -> 48 [size =\"30284800\"]\n  44 -> 49 [size =\"30284800\"]\n  45 [size=\"95735808\", alpha=\"0.02\", expect_size=\"47867904\"] \n  45 -> 48 [size =\"47867904\"]\n  45 -> 49 [size =\"47867904\"]\n  46 [size=\"92342272\", alpha=\"0.10\", expect_size=\"46171136\"] \n  46 -> 48 [size =\"46171136\"]\n  46 -> 49 [size =\"46171136\"]\n  47 [size=\"13643776\", alpha=\"0.03\", expect_size=\"6821888\"] \n  47 -> 48 [size =\"6821888\"]\n  47 -> 49 [size =\"6821888\"]\n  48 [size=\"79257600\", alpha=\"0.03\", expect_size=\"39628800\"] \n  48 -> 50 [size =\"39628800\"]\n  49 [size=\"81100800\", alpha=\"0.06\", expect_size=\"40550400\"] \n  49 -> 50 [size =\"40550400\"]\n  50 [size=\"81072128\", alpha=\"0.14\", expect_size=\"40536064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.31.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89759744\", alpha=\"0.01\", expect_size=\"44879872\"] \n  1 -> 26 [size =\"44879872\"]\n  1 -> 29 [size =\"44879872\"]\n  1 -> 30 [size =\"44879872\"]\n  1 -> 31 [size =\"44879872\"]\n  1 -> 32 [size =\"44879872\"]\n  1 -> 34 [size =\"44879872\"]\n  1 -> 37 [size =\"44879872\"]\n  1 -> 38 [size =\"44879872\"]\n  1 -> 39 [size =\"44879872\"]\n  1 -> 43 [size =\"44879872\"]\n  1 -> 44 [size =\"44879872\"]\n  1 -> 50 [size =\"44879872\"]\n  2 [size=\"16476160\", alpha=\"0.09\", expect_size=\"8238080\"] \n  2 -> 26 [size =\"8238080\"]\n  2 -> 28 [size =\"8238080\"]\n  2 -> 29 [size =\"8238080\"]\n  2 -> 30 [size =\"8238080\"]\n  2 -> 31 [size =\"8238080\"]\n  2 -> 32 [size =\"8238080\"]\n  2 -> 34 [size =\"8238080\"]\n  2 -> 37 [size =\"8238080\"]\n  2 -> 44 [size =\"8238080\"]\n  2 -> 45 [size =\"8238080\"]\n  2 -> 46 [size =\"8238080\"]\n  2 -> 50 [size =\"8238080\"]\n  3 [size=\"50536448\", alpha=\"0.04\", expect_size=\"25268224\"] \n  3 -> 26 [size =\"25268224\"]\n  3 -> 28 [size =\"25268224\"]\n  3 -> 29 [size =\"25268224\"]\n  3 -> 32 [size =\"25268224\"]\n  3 -> 33 [size =\"25268224\"]\n  3 -> 37 [size =\"25268224\"]\n  3 -> 38 [size =\"25268224\"]\n  3 -> 44 [size =\"25268224\"]\n  3 -> 48 [size =\"25268224\"]\n  3 -> 50 [size =\"25268224\"]\n  4 [size=\"38033408\", alpha=\"0.01\", expect_size=\"19016704\"] \n  4 -> 26 [size =\"19016704\"]\n  4 -> 28 [size =\"19016704\"]\n  4 -> 31 [size =\"19016704\"]\n  4 -> 32 [size =\"19016704\"]\n  4 -> 34 [size =\"19016704\"]\n  4 -> 35 [size =\"19016704\"]\n  4 -> 38 [size =\"19016704\"]\n  4 -> 39 [size =\"19016704\"]\n  4 -> 40 [size =\"19016704\"]\n  4 -> 43 [size =\"19016704\"]\n  4 -> 46 [size =\"19016704\"]\n  4 -> 48 [size =\"19016704\"]\n  4 -> 50 [size =\"19016704\"]\n  5 [size=\"102432768\", alpha=\"0.04\", expect_size=\"51216384\"] \n  5 -> 26 [size =\"51216384\"]\n  5 -> 27 [size =\"51216384\"]\n  5 -> 28 [size =\"51216384\"]\n  5 -> 32 [size =\"51216384\"]\n  5 -> 34 [size =\"51216384\"]\n  5 -> 39 [size =\"51216384\"]\n  5 -> 41 [size =\"51216384\"]\n  5 -> 43 [size =\"51216384\"]\n  5 -> 44 [size =\"51216384\"]\n  5 -> 48 [size =\"51216384\"]\n  5 -> 50 [size =\"51216384\"]\n  6 [size=\"59324416\", alpha=\"0.04\", expect_size=\"29662208\"] \n  6 -> 26 [size =\"29662208\"]\n  6 -> 27 [size =\"29662208\"]\n  6 -> 28 [size =\"29662208\"]\n  6 -> 30 [size =\"29662208\"]\n  6 -> 32 [size =\"29662208\"]\n  6 -> 34 [size =\"29662208\"]\n  6 -> 37 [size =\"29662208\"]\n  6 -> 38 [size =\"29662208\"]\n  6 -> 41 [size =\"29662208\"]\n  6 -> 44 [size =\"29662208\"]\n  6 -> 45 [size =\"29662208\"]\n  6 -> 46 [size =\"29662208\"]\n  6 -> 50 [size =\"29662208\"]\n  7 [size=\"13469696\", alpha=\"0.04\", expect_size=\"6734848\"] \n  7 -> 28 [size =\"6734848\"]\n  7 -> 30 [size =\"6734848\"]\n  7 -> 32 [size =\"6734848\"]\n  7 -> 34 [size =\"6734848\"]\n  7 -> 35 [size =\"6734848\"]\n  7 -> 37 [size =\"6734848\"]\n  7 -> 40 [size =\"6734848\"]\n  7 -> 41 [size =\"6734848\"]\n  7 -> 43 [size =\"6734848\"]\n  7 -> 46 [size =\"6734848\"]\n  7 -> 49 [size =\"6734848\"]\n  7 -> 50 [size =\"6734848\"]\n  7 -> 50 [size =\"6734848\"]\n  8 [size=\"31209472\", alpha=\"0.12\", expect_size=\"15604736\"] \n  8 -> 26 [size =\"15604736\"]\n  8 -> 28 [size =\"15604736\"]\n  8 -> 30 [size =\"15604736\"]\n  8 -> 32 [size =\"15604736\"]\n  8 -> 33 [size =\"15604736\"]\n  8 -> 34 [size =\"15604736\"]\n  8 -> 38 [size =\"15604736\"]\n  8 -> 39 [size =\"15604736\"]\n  8 -> 40 [size =\"15604736\"]\n  8 -> 42 [size =\"15604736\"]\n  8 -> 44 [size =\"15604736\"]\n  8 -> 46 [size =\"15604736\"]\n  8 -> 48 [size =\"15604736\"]\n  8 -> 50 [size =\"15604736\"]\n  9 [size=\"64677888\", alpha=\"0.10\", expect_size=\"32338944\"] \n  9 -> 28 [size =\"32338944\"]\n  9 -> 29 [size =\"32338944\"]\n  9 -> 30 [size =\"32338944\"]\n  9 -> 32 [size =\"32338944\"]\n  9 -> 34 [size =\"32338944\"]\n  9 -> 35 [size =\"32338944\"]\n  9 -> 37 [size =\"32338944\"]\n  9 -> 38 [size =\"32338944\"]\n  9 -> 39 [size =\"32338944\"]\n  9 -> 40 [size =\"32338944\"]\n  9 -> 41 [size =\"32338944\"]\n  9 -> 42 [size =\"32338944\"]\n  9 -> 44 [size =\"32338944\"]\n  9 -> 45 [size =\"32338944\"]\n  9 -> 50 [size =\"32338944\"]\n  10 [size=\"17688576\", alpha=\"0.12\", expect_size=\"8844288\"] \n  10 -> 26 [size =\"8844288\"]\n  10 -> 28 [size =\"8844288\"]\n  10 -> 30 [size =\"8844288\"]\n  10 -> 32 [size =\"8844288\"]\n  10 -> 34 [size =\"8844288\"]\n  10 -> 36 [size =\"8844288\"]\n  10 -> 37 [size =\"8844288\"]\n  10 -> 38 [size =\"8844288\"]\n  10 -> 39 [size =\"8844288\"]\n  10 -> 40 [size =\"8844288\"]\n  10 -> 41 [size =\"8844288\"]\n  10 -> 42 [size =\"8844288\"]\n  10 -> 44 [size =\"8844288\"]\n  10 -> 45 [size =\"8844288\"]\n  10 -> 48 [size =\"8844288\"]\n  11 [size=\"44810240\", alpha=\"0.19\", expect_size=\"22405120\"] \n  11 -> 26 [size =\"22405120\"]\n  11 -> 30 [size =\"22405120\"]\n  11 -> 30 [size =\"22405120\"]\n  11 -> 32 [size =\"22405120\"]\n  11 -> 34 [size =\"22405120\"]\n  11 -> 37 [size =\"22405120\"]\n  11 -> 38 [size =\"22405120\"]\n  11 -> 39 [size =\"22405120\"]\n  11 -> 40 [size =\"22405120\"]\n  11 -> 41 [size =\"22405120\"]\n  11 -> 41 [size =\"22405120\"]\n  11 -> 44 [size =\"22405120\"]\n  11 -> 44 [size =\"22405120\"]\n  12 [size=\"47880192\", alpha=\"0.20\", expect_size=\"23940096\"] \n  12 -> 26 [size =\"23940096\"]\n  12 -> 28 [size =\"23940096\"]\n  12 -> 29 [size =\"23940096\"]\n  12 -> 30 [size =\"23940096\"]\n  12 -> 32 [size =\"23940096\"]\n  12 -> 36 [size =\"23940096\"]\n  12 -> 37 [size =\"23940096\"]\n  12 -> 39 [size =\"23940096\"]\n  12 -> 40 [size =\"23940096\"]\n  12 -> 44 [size =\"23940096\"]\n  12 -> 46 [size =\"23940096\"]\n  13 [size=\"88350720\", alpha=\"0.08\", expect_size=\"44175360\"] \n  13 -> 28 [size =\"44175360\"]\n  13 -> 28 [size =\"44175360\"]\n  13 -> 30 [size =\"44175360\"]\n  13 -> 31 [size =\"44175360\"]\n  13 -> 33 [size =\"44175360\"]\n  13 -> 34 [size =\"44175360\"]\n  13 -> 37 [size =\"44175360\"]\n  13 -> 38 [size =\"44175360\"]\n  13 -> 39 [size =\"44175360\"]\n  13 -> 43 [size =\"44175360\"]\n  13 -> 44 [size =\"44175360\"]\n  13 -> 49 [size =\"44175360\"]\n  14 [size=\"14028800\", alpha=\"0.12\", expect_size=\"7014400\"] \n  14 -> 28 [size =\"7014400\"]\n  14 -> 30 [size =\"7014400\"]\n  14 -> 32 [size =\"7014400\"]\n  14 -> 33 [size =\"7014400\"]\n  14 -> 34 [size =\"7014400\"]\n  14 -> 36 [size =\"7014400\"]\n  14 -> 37 [size =\"7014400\"]\n  14 -> 39 [size =\"7014400\"]\n  14 -> 39 [size =\"7014400\"]\n  14 -> 43 [size =\"7014400\"]\n  14 -> 44 [size =\"7014400\"]\n  14 -> 48 [size =\"7014400\"]\n  15 [size=\"20178944\", alpha=\"0.01\", expect_size=\"10089472\"] \n  15 -> 26 [size =\"10089472\"]\n  15 -> 30 [size =\"10089472\"]\n  15 -> 32 [size =\"10089472\"]\n  15 -> 37 [size =\"10089472\"]\n  15 -> 39 [size =\"10089472\"]\n  15 -> 41 [size =\"10089472\"]\n  15 -> 45 [size =\"10089472\"]\n  15 -> 46 [size =\"10089472\"]\n  15 -> 50 [size =\"10089472\"]\n  16 [size=\"40415232\", alpha=\"0.07\", expect_size=\"20207616\"] \n  16 -> 26 [size =\"20207616\"]\n  16 -> 28 [size =\"20207616\"]\n  16 -> 31 [size =\"20207616\"]\n  16 -> 32 [size =\"20207616\"]\n  16 -> 33 [size =\"20207616\"]\n  16 -> 37 [size =\"20207616\"]\n  16 -> 38 [size =\"20207616\"]\n  16 -> 39 [size =\"20207616\"]\n  16 -> 40 [size =\"20207616\"]\n  16 -> 41 [size =\"20207616\"]\n  16 -> 46 [size =\"20207616\"]\n  16 -> 48 [size =\"20207616\"]\n  16 -> 50 [size =\"20207616\"]\n  17 [size=\"59469824\", alpha=\"0.18\", expect_size=\"29734912\"] \n  17 -> 26 [size =\"29734912\"]\n  17 -> 27 [size =\"29734912\"]\n  17 -> 28 [size =\"29734912\"]\n  17 -> 29 [size =\"29734912\"]\n  17 -> 30 [size =\"29734912\"]\n  17 -> 31 [size =\"29734912\"]\n  17 -> 32 [size =\"29734912\"]\n  17 -> 34 [size =\"29734912\"]\n  17 -> 37 [size =\"29734912\"]\n  17 -> 38 [size =\"29734912\"]\n  17 -> 39 [size =\"29734912\"]\n  17 -> 40 [size =\"29734912\"]\n  17 -> 41 [size =\"29734912\"]\n  17 -> 42 [size =\"29734912\"]\n  17 -> 44 [size =\"29734912\"]\n  17 -> 46 [size =\"29734912\"]\n  17 -> 50 [size =\"29734912\"]\n  18 [size=\"79212544\", alpha=\"0.07\", expect_size=\"39606272\"] \n  18 -> 26 [size =\"39606272\"]\n  18 -> 28 [size =\"39606272\"]\n  18 -> 28 [size =\"39606272\"]\n  18 -> 29 [size =\"39606272\"]\n  18 -> 30 [size =\"39606272\"]\n  18 -> 32 [size =\"39606272\"]\n  18 -> 32 [size =\"39606272\"]\n  18 -> 34 [size =\"39606272\"]\n  18 -> 35 [size =\"39606272\"]\n  18 -> 37 [size =\"39606272\"]\n  18 -> 40 [size =\"39606272\"]\n  18 -> 41 [size =\"39606272\"]\n  18 -> 41 [size =\"39606272\"]\n  18 -> 42 [size =\"39606272\"]\n  18 -> 44 [size =\"39606272\"]\n  18 -> 45 [size =\"39606272\"]\n  18 -> 46 [size =\"39606272\"]\n  18 -> 47 [size =\"39606272\"]\n  18 -> 49 [size =\"39606272\"]\n  18 -> 50 [size =\"39606272\"]\n  19 [size=\"39315456\", alpha=\"0.04\", expect_size=\"19657728\"] \n  19 -> 26 [size =\"19657728\"]\n  19 -> 27 [size =\"19657728\"]\n  19 -> 28 [size =\"19657728\"]\n  19 -> 29 [size =\"19657728\"]\n  19 -> 32 [size =\"19657728\"]\n  19 -> 34 [size =\"19657728\"]\n  19 -> 35 [size =\"19657728\"]\n  19 -> 37 [size =\"19657728\"]\n  19 -> 39 [size =\"19657728\"]\n  19 -> 41 [size =\"19657728\"]\n  19 -> 42 [size =\"19657728\"]\n  19 -> 43 [size =\"19657728\"]\n  19 -> 46 [size =\"19657728\"]\n  19 -> 47 [size =\"19657728\"]\n  19 -> 50 [size =\"19657728\"]\n  20 [size=\"85528576\", alpha=\"0.08\", expect_size=\"42764288\"] \n  20 -> 27 [size =\"42764288\"]\n  20 -> 28 [size =\"42764288\"]\n  20 -> 28 [size =\"42764288\"]\n  20 -> 29 [size =\"42764288\"]\n  20 -> 31 [size =\"42764288\"]\n  20 -> 34 [size =\"42764288\"]\n  20 -> 37 [size =\"42764288\"]\n  20 -> 40 [size =\"42764288\"]\n  20 -> 41 [size =\"42764288\"]\n  20 -> 41 [size =\"42764288\"]\n  20 -> 43 [size =\"42764288\"]\n  20 -> 46 [size =\"42764288\"]\n  20 -> 46 [size =\"42764288\"]\n  21 [size=\"49899520\", alpha=\"0.08\", expect_size=\"24949760\"] \n  21 -> 26 [size =\"24949760\"]\n  21 -> 29 [size =\"24949760\"]\n  21 -> 32 [size =\"24949760\"]\n  21 -> 34 [size =\"24949760\"]\n  21 -> 35 [size =\"24949760\"]\n  21 -> 38 [size =\"24949760\"]\n  21 -> 39 [size =\"24949760\"]\n  21 -> 40 [size =\"24949760\"]\n  21 -> 43 [size =\"24949760\"]\n  21 -> 45 [size =\"24949760\"]\n  21 -> 46 [size =\"24949760\"]\n  21 -> 46 [size =\"24949760\"]\n  21 -> 48 [size =\"24949760\"]\n  21 -> 50 [size =\"24949760\"]\n  22 [size=\"47345664\", alpha=\"0.09\", expect_size=\"23672832\"] \n  22 -> 28 [size =\"23672832\"]\n  22 -> 34 [size =\"23672832\"]\n  22 -> 38 [size =\"23672832\"]\n  22 -> 40 [size =\"23672832\"]\n  22 -> 42 [size =\"23672832\"]\n  22 -> 43 [size =\"23672832\"]\n  22 -> 44 [size =\"23672832\"]\n  22 -> 46 [size =\"23672832\"]\n  22 -> 50 [size =\"23672832\"]\n  23 [size=\"46802944\", alpha=\"0.20\", expect_size=\"23401472\"] \n  23 -> 28 [size =\"23401472\"]\n  23 -> 29 [size =\"23401472\"]\n  23 -> 32 [size =\"23401472\"]\n  23 -> 34 [size =\"23401472\"]\n  23 -> 35 [size =\"23401472\"]\n  23 -> 38 [size =\"23401472\"]\n  23 -> 40 [size =\"23401472\"]\n  23 -> 43 [size =\"23401472\"]\n  23 -> 44 [size =\"23401472\"]\n  23 -> 45 [size =\"23401472\"]\n  23 -> 46 [size =\"23401472\"]\n  23 -> 50 [size =\"23401472\"]\n  24 [size=\"86214656\", alpha=\"0.15\", expect_size=\"43107328\"] \n  24 -> 26 [size =\"43107328\"]\n  24 -> 29 [size =\"43107328\"]\n  24 -> 30 [size =\"43107328\"]\n  24 -> 32 [size =\"43107328\"]\n  24 -> 34 [size =\"43107328\"]\n  24 -> 35 [size =\"43107328\"]\n  24 -> 37 [size =\"43107328\"]\n  24 -> 38 [size =\"43107328\"]\n  24 -> 40 [size =\"43107328\"]\n  24 -> 41 [size =\"43107328\"]\n  24 -> 45 [size =\"43107328\"]\n  24 -> 46 [size =\"43107328\"]\n  24 -> 50 [size =\"43107328\"]\n  25 [size=\"50016256\", alpha=\"0.11\", expect_size=\"25008128\"] \n  25 -> 26 [size =\"25008128\"]\n  25 -> 32 [size =\"25008128\"]\n  25 -> 34 [size =\"25008128\"]\n  25 -> 35 [size =\"25008128\"]\n  25 -> 37 [size =\"25008128\"]\n  25 -> 40 [size =\"25008128\"]\n  25 -> 42 [size =\"25008128\"]\n  25 -> 43 [size =\"25008128\"]\n  25 -> 45 [size =\"25008128\"]\n  25 -> 47 [size =\"25008128\"]\n  25 -> 49 [size =\"25008128\"]\n  25 -> 50 [size =\"25008128\"]\n  25 -> 50 [size =\"25008128\"]\n  26 [size=\"53899264\", alpha=\"0.16\", expect_size=\"26949632\"] \n  27 [size=\"86515712\", alpha=\"0.03\", expect_size=\"43257856\"] \n  28 [size=\"75706368\", alpha=\"0.14\", expect_size=\"37853184\"] \n  29 [size=\"12564480\", alpha=\"0.16\", expect_size=\"6282240\"] \n  30 [size=\"32108544\", alpha=\"0.20\", expect_size=\"16054272\"] \n  31 [size=\"68083712\", alpha=\"0.11\", expect_size=\"34041856\"] \n  32 [size=\"11022336\", alpha=\"0.10\", expect_size=\"5511168\"] \n  33 [size=\"55660544\", alpha=\"0.05\", expect_size=\"27830272\"] \n  34 [size=\"53307392\", alpha=\"0.01\", expect_size=\"26653696\"] \n  35 [size=\"31510528\", alpha=\"0.19\", expect_size=\"15755264\"] \n  36 [size=\"82219008\", alpha=\"0.04\", expect_size=\"41109504\"] \n  37 [size=\"65527808\", alpha=\"0.19\", expect_size=\"32763904\"] \n  38 [size=\"78794752\", alpha=\"0.09\", expect_size=\"39397376\"] \n  39 [size=\"48373760\", alpha=\"0.04\", expect_size=\"24186880\"] \n  40 [size=\"28454912\", alpha=\"0.16\", expect_size=\"14227456\"] \n  41 [size=\"26247168\", alpha=\"0.16\", expect_size=\"13123584\"] \n  42 [size=\"76075008\", alpha=\"0.03\", expect_size=\"38037504\"] \n  43 [size=\"26587136\", alpha=\"0.19\", expect_size=\"13293568\"] \n  44 [size=\"50024448\", alpha=\"0.10\", expect_size=\"25012224\"] \n  45 [size=\"55558144\", alpha=\"0.10\", expect_size=\"27779072\"] \n  46 [size=\"52883456\", alpha=\"0.19\", expect_size=\"26441728\"] \n  47 [size=\"71929856\", alpha=\"0.04\", expect_size=\"35964928\"] \n  48 [size=\"67311616\", alpha=\"0.03\", expect_size=\"33655808\"] \n  49 [size=\"13385728\", alpha=\"0.03\", expect_size=\"6692864\"] \n  50 [size=\"33353728\", alpha=\"0.07\", expect_size=\"16676864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.32.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17379840\", alpha=\"0.05\", expect_size=\"6951936\"] \n  1 -> 10 [size =\"6951936\"]\n  2 [size=\"85870080\", alpha=\"0.03\", expect_size=\"34348032\"] \n  2 -> 9 [size =\"34348032\"]\n  2 -> 10 [size =\"34348032\"]\n  2 -> 11 [size =\"34348032\"]\n  2 -> 14 [size =\"34348032\"]\n  2 -> 15 [size =\"34348032\"]\n  3 [size=\"67256320\", alpha=\"0.12\", expect_size=\"26902528\"] \n  3 -> 11 [size =\"26902528\"]\n  3 -> 12 [size =\"26902528\"]\n  3 -> 15 [size =\"26902528\"]\n  4 [size=\"77749760\", alpha=\"0.11\", expect_size=\"31099904\"] \n  4 -> 12 [size =\"31099904\"]\n  4 -> 14 [size =\"31099904\"]\n  4 -> 15 [size =\"31099904\"]\n  5 [size=\"34201600\", alpha=\"0.12\", expect_size=\"13680640\"] \n  5 -> 9 [size =\"13680640\"]\n  5 -> 10 [size =\"13680640\"]\n  5 -> 13 [size =\"13680640\"]\n  5 -> 14 [size =\"13680640\"]\n  6 [size=\"67952640\", alpha=\"0.11\", expect_size=\"27181056\"] \n  6 -> 9 [size =\"27181056\"]\n  6 -> 11 [size =\"27181056\"]\n  6 -> 14 [size =\"27181056\"]\n  6 -> 15 [size =\"27181056\"]\n  7 [size=\"130790400\", alpha=\"0.04\", expect_size=\"52316160\"] \n  7 -> 9 [size =\"52316160\"]\n  7 -> 12 [size =\"52316160\"]\n  7 -> 15 [size =\"52316160\"]\n  8 [size=\"96706560\", alpha=\"0.01\", expect_size=\"38682624\"] \n  8 -> 9 [size =\"38682624\"]\n  8 -> 12 [size =\"38682624\"]\n  8 -> 14 [size =\"38682624\"]\n  9 [size=\"51230720\", alpha=\"0.10\", expect_size=\"20492288\"] \n  9 -> 17 [size =\"20492288\"]\n  9 -> 21 [size =\"20492288\"]\n  10 [size=\"98613760\", alpha=\"0.05\", expect_size=\"39445504\"] \n  10 -> 16 [size =\"39445504\"]\n  10 -> 17 [size =\"39445504\"]\n  10 -> 18 [size =\"39445504\"]\n  10 -> 20 [size =\"39445504\"]\n  11 [size=\"100986880\", alpha=\"0.07\", expect_size=\"40394752\"] \n  11 -> 16 [size =\"40394752\"]\n  11 -> 18 [size =\"40394752\"]\n  11 -> 19 [size =\"40394752\"]\n  11 -> 21 [size =\"40394752\"]\n  12 [size=\"128445440\", alpha=\"0.07\", expect_size=\"51378176\"] \n  12 -> 16 [size =\"51378176\"]\n  12 -> 21 [size =\"51378176\"]\n  12 -> 22 [size =\"51378176\"]\n  13 [size=\"30556160\", alpha=\"0.04\", expect_size=\"12222464\"] \n  13 -> 16 [size =\"12222464\"]\n  13 -> 21 [size =\"12222464\"]\n  13 -> 22 [size =\"12222464\"]\n  13 -> 23 [size =\"12222464\"]\n  14 [size=\"98895360\", alpha=\"0.08\", expect_size=\"39558144\"] \n  14 -> 16 [size =\"39558144\"]\n  15 [size=\"43141120\", alpha=\"0.01\", expect_size=\"17256448\"] \n  15 -> 19 [size =\"17256448\"]\n  15 -> 21 [size =\"17256448\"]\n  16 [size=\"115896320\", alpha=\"0.19\", expect_size=\"46358528\"] \n  16 -> 26 [size =\"46358528\"]\n  16 -> 27 [size =\"46358528\"]\n  16 -> 28 [size =\"46358528\"]\n  16 -> 29 [size =\"46358528\"]\n  17 [size=\"61381120\", alpha=\"0.04\", expect_size=\"24552448\"] \n  17 -> 24 [size =\"24552448\"]\n  18 [size=\"82242560\", alpha=\"0.02\", expect_size=\"32897024\"] \n  18 -> 26 [size =\"32897024\"]\n  19 [size=\"85347840\", alpha=\"0.19\", expect_size=\"34139136\"] \n  19 -> 26 [size =\"34139136\"]\n  19 -> 28 [size =\"34139136\"]\n  20 [size=\"28364800\", alpha=\"0.17\", expect_size=\"11345920\"] \n  20 -> 28 [size =\"11345920\"]\n  20 -> 28 [size =\"11345920\"]\n  21 [size=\"59056640\", alpha=\"0.14\", expect_size=\"23622656\"] \n  21 -> 26 [size =\"23622656\"]\n  21 -> 28 [size =\"23622656\"]\n  22 [size=\"100661760\", alpha=\"0.05\", expect_size=\"40264704\"] \n  22 -> 25 [size =\"40264704\"]\n  22 -> 26 [size =\"40264704\"]\n  23 [size=\"24448000\", alpha=\"0.04\", expect_size=\"9779200\"] \n  23 -> 24 [size =\"9779200\"]\n  23 -> 28 [size =\"9779200\"]\n  23 -> 29 [size =\"9779200\"]\n  24 [size=\"47764480\", alpha=\"0.14\", expect_size=\"19105792\"] \n  24 -> 30 [size =\"19105792\"]\n  24 -> 31 [size =\"19105792\"]\n  24 -> 32 [size =\"19105792\"]\n  24 -> 33 [size =\"19105792\"]\n  25 [size=\"93588480\", alpha=\"0.08\", expect_size=\"37435392\"] \n  25 -> 30 [size =\"37435392\"]\n  25 -> 32 [size =\"37435392\"]\n  25 -> 32 [size =\"37435392\"]\n  25 -> 33 [size =\"37435392\"]\n  25 -> 35 [size =\"37435392\"]\n  26 [size=\"97920000\", alpha=\"0.12\", expect_size=\"39168000\"] \n  26 -> 30 [size =\"39168000\"]\n  26 -> 31 [size =\"39168000\"]\n  27 [size=\"91023360\", alpha=\"0.15\", expect_size=\"36409344\"] \n  27 -> 30 [size =\"36409344\"]\n  27 -> 31 [size =\"36409344\"]\n  27 -> 32 [size =\"36409344\"]\n  27 -> 34 [size =\"36409344\"]\n  27 -> 35 [size =\"36409344\"]\n  28 [size=\"115688960\", alpha=\"0.12\", expect_size=\"46275584\"] \n  28 -> 31 [size =\"46275584\"]\n  28 -> 34 [size =\"46275584\"]\n  29 [size=\"129369600\", alpha=\"0.16\", expect_size=\"51747840\"] \n  29 -> 33 [size =\"51747840\"]\n  30 [size=\"125662720\", alpha=\"0.14\", expect_size=\"50265088\"] \n  30 -> 36 [size =\"50265088\"]\n  31 [size=\"105246720\", alpha=\"0.08\", expect_size=\"42098688\"] \n  31 -> 36 [size =\"42098688\"]\n  31 -> 37 [size =\"42098688\"]\n  31 -> 38 [size =\"42098688\"]\n  32 [size=\"72394240\", alpha=\"0.00\", expect_size=\"28957696\"] \n  32 -> 37 [size =\"28957696\"]\n  33 [size=\"99870720\", alpha=\"0.16\", expect_size=\"39948288\"] \n  33 -> 36 [size =\"39948288\"]\n  33 -> 37 [size =\"39948288\"]\n  34 [size=\"123860480\", alpha=\"0.06\", expect_size=\"49544192\"] \n  34 -> 37 [size =\"49544192\"]\n  34 -> 38 [size =\"49544192\"]\n  34 -> 39 [size =\"49544192\"]\n  35 [size=\"91043840\", alpha=\"0.02\", expect_size=\"36417536\"] \n  36 [size=\"22512640\", alpha=\"0.15\", expect_size=\"9005056\"] \n  36 -> 40 [size =\"9005056\"]\n  36 -> 44 [size =\"9005056\"]\n  36 -> 46 [size =\"9005056\"]\n  36 -> 47 [size =\"9005056\"]\n  37 [size=\"91082240\", alpha=\"0.16\", expect_size=\"36432896\"] \n  37 -> 41 [size =\"36432896\"]\n  37 -> 42 [size =\"36432896\"]\n  37 -> 44 [size =\"36432896\"]\n  37 -> 45 [size =\"36432896\"]\n  37 -> 46 [size =\"36432896\"]\n  37 -> 47 [size =\"36432896\"]\n  38 [size=\"60541440\", alpha=\"0.08\", expect_size=\"24216576\"] \n  38 -> 41 [size =\"24216576\"]\n  38 -> 42 [size =\"24216576\"]\n  38 -> 43 [size =\"24216576\"]\n  39 [size=\"14492160\", alpha=\"0.13\", expect_size=\"5796864\"] \n  39 -> 41 [size =\"5796864\"]\n  39 -> 42 [size =\"5796864\"]\n  39 -> 43 [size =\"5796864\"]\n  39 -> 44 [size =\"5796864\"]\n  39 -> 45 [size =\"5796864\"]\n  39 -> 46 [size =\"5796864\"]\n  40 [size=\"109025280\", alpha=\"0.01\", expect_size=\"43610112\"] \n  40 -> 49 [size =\"43610112\"]\n  40 -> 50 [size =\"43610112\"]\n  41 [size=\"75752960\", alpha=\"0.16\", expect_size=\"30301184\"] \n  42 [size=\"120522240\", alpha=\"0.06\", expect_size=\"48208896\"] \n  43 [size=\"122741760\", alpha=\"0.18\", expect_size=\"49096704\"] \n  43 -> 49 [size =\"49096704\"]\n  44 [size=\"99863040\", alpha=\"0.16\", expect_size=\"39945216\"] \n  44 -> 48 [size =\"39945216\"]\n  44 -> 50 [size =\"39945216\"]\n  45 [size=\"19709440\", alpha=\"0.08\", expect_size=\"7883776\"] \n  45 -> 49 [size =\"7883776\"]\n  45 -> 50 [size =\"7883776\"]\n  46 [size=\"30282240\", alpha=\"0.14\", expect_size=\"12112896\"] \n  47 [size=\"116403200\", alpha=\"0.13\", expect_size=\"46561280\"] \n  47 -> 48 [size =\"46561280\"]\n  47 -> 49 [size =\"46561280\"]\n  48 [size=\"90424320\", alpha=\"0.10\", expect_size=\"36169728\"] \n  49 [size=\"21475840\", alpha=\"0.06\", expect_size=\"8590336\"] \n  50 [size=\"99768320\", alpha=\"0.02\", expect_size=\"39907328\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.33.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"67897344\", alpha=\"0.05\", expect_size=\"33948672\"] \n  1 -> 9 [size =\"33948672\"]\n  1 -> 12 [size =\"33948672\"]\n  1 -> 13 [size =\"33948672\"]\n  1 -> 15 [size =\"33948672\"]\n  1 -> 16 [size =\"33948672\"]\n  1 -> 16 [size =\"33948672\"]\n  1 -> 17 [size =\"33948672\"]\n  2 [size=\"81219584\", alpha=\"0.06\", expect_size=\"40609792\"] \n  2 -> 9 [size =\"40609792\"]\n  2 -> 11 [size =\"40609792\"]\n  2 -> 12 [size =\"40609792\"]\n  2 -> 13 [size =\"40609792\"]\n  2 -> 15 [size =\"40609792\"]\n  2 -> 17 [size =\"40609792\"]\n  3 [size=\"83257344\", alpha=\"0.05\", expect_size=\"41628672\"] \n  3 -> 9 [size =\"41628672\"]\n  3 -> 10 [size =\"41628672\"]\n  3 -> 12 [size =\"41628672\"]\n  3 -> 13 [size =\"41628672\"]\n  3 -> 14 [size =\"41628672\"]\n  3 -> 15 [size =\"41628672\"]\n  3 -> 17 [size =\"41628672\"]\n  4 [size=\"51943424\", alpha=\"0.11\", expect_size=\"25971712\"] \n  4 -> 8 [size =\"25971712\"]\n  4 -> 10 [size =\"25971712\"]\n  4 -> 12 [size =\"25971712\"]\n  4 -> 13 [size =\"25971712\"]\n  4 -> 14 [size =\"25971712\"]\n  4 -> 17 [size =\"25971712\"]\n  4 -> 17 [size =\"25971712\"]\n  5 [size=\"43241472\", alpha=\"0.15\", expect_size=\"21620736\"] \n  5 -> 10 [size =\"21620736\"]\n  5 -> 12 [size =\"21620736\"]\n  5 -> 13 [size =\"21620736\"]\n  5 -> 14 [size =\"21620736\"]\n  5 -> 16 [size =\"21620736\"]\n  6 [size=\"12130304\", alpha=\"0.07\", expect_size=\"6065152\"] \n  6 -> 10 [size =\"6065152\"]\n  6 -> 12 [size =\"6065152\"]\n  6 -> 15 [size =\"6065152\"]\n  6 -> 16 [size =\"6065152\"]\n  6 -> 17 [size =\"6065152\"]\n  7 [size=\"103940096\", alpha=\"0.13\", expect_size=\"51970048\"] \n  7 -> 9 [size =\"51970048\"]\n  7 -> 12 [size =\"51970048\"]\n  7 -> 13 [size =\"51970048\"]\n  7 -> 14 [size =\"51970048\"]\n  7 -> 15 [size =\"51970048\"]\n  7 -> 16 [size =\"51970048\"]\n  8 [size=\"91084800\", alpha=\"0.12\", expect_size=\"45542400\"] \n  8 -> 18 [size =\"45542400\"]\n  8 -> 20 [size =\"45542400\"]\n  9 [size=\"49952768\", alpha=\"0.13\", expect_size=\"24976384\"] \n  9 -> 18 [size =\"24976384\"]\n  9 -> 20 [size =\"24976384\"]\n  10 [size=\"14860288\", alpha=\"0.12\", expect_size=\"7430144\"] \n  10 -> 18 [size =\"7430144\"]\n  10 -> 19 [size =\"7430144\"]\n  10 -> 20 [size =\"7430144\"]\n  11 [size=\"11268096\", alpha=\"0.05\", expect_size=\"5634048\"] \n  11 -> 18 [size =\"5634048\"]\n  11 -> 20 [size =\"5634048\"]\n  11 -> 20 [size =\"5634048\"]\n  12 [size=\"35592192\", alpha=\"0.14\", expect_size=\"17796096\"] \n  12 -> 18 [size =\"17796096\"]\n  12 -> 19 [size =\"17796096\"]\n  12 -> 20 [size =\"17796096\"]\n  13 [size=\"63787008\", alpha=\"0.03\", expect_size=\"31893504\"] \n  13 -> 18 [size =\"31893504\"]\n  13 -> 20 [size =\"31893504\"]\n  14 [size=\"88020992\", alpha=\"0.04\", expect_size=\"44010496\"] \n  14 -> 18 [size =\"44010496\"]\n  14 -> 20 [size =\"44010496\"]\n  15 [size=\"47413248\", alpha=\"0.00\", expect_size=\"23706624\"] \n  15 -> 18 [size =\"23706624\"]\n  15 -> 19 [size =\"23706624\"]\n  16 [size=\"23603200\", alpha=\"0.14\", expect_size=\"11801600\"] \n  16 -> 20 [size =\"11801600\"]\n  17 [size=\"56932352\", alpha=\"0.03\", expect_size=\"28466176\"] \n  18 [size=\"23482368\", alpha=\"0.19\", expect_size=\"11741184\"] \n  18 -> 21 [size =\"11741184\"]\n  18 -> 22 [size =\"11741184\"]\n  18 -> 24 [size =\"11741184\"]\n  18 -> 26 [size =\"11741184\"]\n  18 -> 27 [size =\"11741184\"]\n  19 [size=\"82315264\", alpha=\"0.14\", expect_size=\"41157632\"] \n  19 -> 24 [size =\"41157632\"]\n  19 -> 26 [size =\"41157632\"]\n  19 -> 27 [size =\"41157632\"]\n  20 [size=\"51310592\", alpha=\"0.15\", expect_size=\"25655296\"] \n  20 -> 21 [size =\"25655296\"]\n  20 -> 22 [size =\"25655296\"]\n  20 -> 23 [size =\"25655296\"]\n  20 -> 24 [size =\"25655296\"]\n  20 -> 25 [size =\"25655296\"]\n  20 -> 26 [size =\"25655296\"]\n  21 [size=\"15015936\", alpha=\"0.08\", expect_size=\"7507968\"] \n  21 -> 28 [size =\"7507968\"]\n  21 -> 29 [size =\"7507968\"]\n  21 -> 30 [size =\"7507968\"]\n  22 [size=\"39428096\", alpha=\"0.16\", expect_size=\"19714048\"] \n  22 -> 28 [size =\"19714048\"]\n  22 -> 29 [size =\"19714048\"]\n  22 -> 30 [size =\"19714048\"]\n  22 -> 32 [size =\"19714048\"]\n  23 [size=\"10629120\", alpha=\"0.19\", expect_size=\"5314560\"] \n  23 -> 28 [size =\"5314560\"]\n  23 -> 29 [size =\"5314560\"]\n  23 -> 30 [size =\"5314560\"]\n  23 -> 31 [size =\"5314560\"]\n  24 [size=\"23083008\", alpha=\"0.11\", expect_size=\"11541504\"] \n  25 [size=\"42219520\", alpha=\"0.10\", expect_size=\"21109760\"] \n  25 -> 28 [size =\"21109760\"]\n  25 -> 29 [size =\"21109760\"]\n  25 -> 30 [size =\"21109760\"]\n  25 -> 32 [size =\"21109760\"]\n  26 [size=\"44087296\", alpha=\"0.10\", expect_size=\"22043648\"] \n  26 -> 28 [size =\"22043648\"]\n  26 -> 30 [size =\"22043648\"]\n  26 -> 30 [size =\"22043648\"]\n  26 -> 31 [size =\"22043648\"]\n  26 -> 32 [size =\"22043648\"]\n  27 [size=\"17625088\", alpha=\"0.09\", expect_size=\"8812544\"] \n  27 -> 28 [size =\"8812544\"]\n  27 -> 29 [size =\"8812544\"]\n  27 -> 30 [size =\"8812544\"]\n  27 -> 31 [size =\"8812544\"]\n  27 -> 32 [size =\"8812544\"]\n  28 [size=\"29747200\", alpha=\"0.05\", expect_size=\"14873600\"] \n  28 -> 33 [size =\"14873600\"]\n  28 -> 36 [size =\"14873600\"]\n  28 -> 37 [size =\"14873600\"]\n  29 [size=\"25534464\", alpha=\"0.09\", expect_size=\"12767232\"] \n  29 -> 33 [size =\"12767232\"]\n  29 -> 38 [size =\"12767232\"]\n  29 -> 40 [size =\"12767232\"]\n  29 -> 41 [size =\"12767232\"]\n  30 [size=\"93640704\", alpha=\"0.15\", expect_size=\"46820352\"] \n  30 -> 33 [size =\"46820352\"]\n  30 -> 36 [size =\"46820352\"]\n  30 -> 40 [size =\"46820352\"]\n  30 -> 41 [size =\"46820352\"]\n  31 [size=\"70631424\", alpha=\"0.01\", expect_size=\"35315712\"] \n  31 -> 35 [size =\"35315712\"]\n  31 -> 36 [size =\"35315712\"]\n  31 -> 39 [size =\"35315712\"]\n  31 -> 40 [size =\"35315712\"]\n  31 -> 41 [size =\"35315712\"]\n  32 [size=\"13922304\", alpha=\"0.12\", expect_size=\"6961152\"] \n  32 -> 33 [size =\"6961152\"]\n  32 -> 34 [size =\"6961152\"]\n  32 -> 35 [size =\"6961152\"]\n  32 -> 36 [size =\"6961152\"]\n  32 -> 37 [size =\"6961152\"]\n  32 -> 40 [size =\"6961152\"]\n  32 -> 41 [size =\"6961152\"]\n  32 -> 42 [size =\"6961152\"]\n  33 [size=\"88621056\", alpha=\"0.14\", expect_size=\"44310528\"] \n  33 -> 43 [size =\"44310528\"]\n  33 -> 44 [size =\"44310528\"]\n  33 -> 45 [size =\"44310528\"]\n  33 -> 46 [size =\"44310528\"]\n  33 -> 47 [size =\"44310528\"]\n  33 -> 49 [size =\"44310528\"]\n  33 -> 50 [size =\"44310528\"]\n  34 [size=\"84381696\", alpha=\"0.13\", expect_size=\"42190848\"] \n  34 -> 43 [size =\"42190848\"]\n  34 -> 44 [size =\"42190848\"]\n  34 -> 45 [size =\"42190848\"]\n  34 -> 46 [size =\"42190848\"]\n  34 -> 47 [size =\"42190848\"]\n  34 -> 49 [size =\"42190848\"]\n  34 -> 50 [size =\"42190848\"]\n  35 [size=\"42665984\", alpha=\"0.19\", expect_size=\"21332992\"] \n  35 -> 45 [size =\"21332992\"]\n  35 -> 47 [size =\"21332992\"]\n  35 -> 50 [size =\"21332992\"]\n  36 [size=\"90601472\", alpha=\"0.09\", expect_size=\"45300736\"] \n  36 -> 43 [size =\"45300736\"]\n  36 -> 47 [size =\"45300736\"]\n  36 -> 49 [size =\"45300736\"]\n  36 -> 50 [size =\"45300736\"]\n  37 [size=\"41089024\", alpha=\"0.08\", expect_size=\"20544512\"] \n  37 -> 45 [size =\"20544512\"]\n  37 -> 46 [size =\"20544512\"]\n  37 -> 49 [size =\"20544512\"]\n  37 -> 50 [size =\"20544512\"]\n  38 [size=\"81958912\", alpha=\"0.10\", expect_size=\"40979456\"] \n  38 -> 43 [size =\"40979456\"]\n  38 -> 47 [size =\"40979456\"]\n  38 -> 49 [size =\"40979456\"]\n  38 -> 50 [size =\"40979456\"]\n  39 [size=\"10690560\", alpha=\"0.07\", expect_size=\"5345280\"] \n  39 -> 43 [size =\"5345280\"]\n  39 -> 48 [size =\"5345280\"]\n  39 -> 49 [size =\"5345280\"]\n  39 -> 50 [size =\"5345280\"]\n  40 [size=\"55500800\", alpha=\"0.13\", expect_size=\"27750400\"] \n  40 -> 43 [size =\"27750400\"]\n  40 -> 46 [size =\"27750400\"]\n  41 [size=\"32018432\", alpha=\"0.20\", expect_size=\"16009216\"] \n  41 -> 43 [size =\"16009216\"]\n  41 -> 45 [size =\"16009216\"]\n  41 -> 48 [size =\"16009216\"]\n  42 [size=\"35399680\", alpha=\"0.13\", expect_size=\"17699840\"] \n  42 -> 43 [size =\"17699840\"]\n  42 -> 44 [size =\"17699840\"]\n  42 -> 47 [size =\"17699840\"]\n  43 [size=\"90753024\", alpha=\"0.05\", expect_size=\"45376512\"] \n  44 [size=\"62633984\", alpha=\"0.01\", expect_size=\"31316992\"] \n  45 [size=\"28581888\", alpha=\"0.03\", expect_size=\"14290944\"] \n  46 [size=\"25520128\", alpha=\"0.13\", expect_size=\"12760064\"] \n  47 [size=\"66570240\", alpha=\"0.04\", expect_size=\"33285120\"] \n  48 [size=\"103809024\", alpha=\"0.19\", expect_size=\"51904512\"] \n  49 [size=\"55861248\", alpha=\"0.17\", expect_size=\"27930624\"] \n  50 [size=\"88928256\", alpha=\"0.13\", expect_size=\"44464128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.34.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"76320768\", alpha=\"0.17\", expect_size=\"38160384\"] \n  1 -> 2 [size =\"38160384\"]\n  2 [size=\"69693440\", alpha=\"0.13\", expect_size=\"34846720\"] \n  2 -> 3 [size =\"34846720\"]\n  3 [size=\"18487296\", alpha=\"0.14\", expect_size=\"9243648\"] \n  3 -> 4 [size =\"9243648\"]\n  4 [size=\"70371328\", alpha=\"0.02\", expect_size=\"35185664\"] \n  4 -> 5 [size =\"35185664\"]\n  5 [size=\"54640640\", alpha=\"0.12\", expect_size=\"27320320\"] \n  5 -> 6 [size =\"27320320\"]\n  6 [size=\"17348608\", alpha=\"0.00\", expect_size=\"8674304\"] \n  6 -> 7 [size =\"8674304\"]\n  7 [size=\"44965888\", alpha=\"0.14\", expect_size=\"22482944\"] \n  7 -> 8 [size =\"22482944\"]\n  8 [size=\"18950144\", alpha=\"0.03\", expect_size=\"9475072\"] \n  8 -> 9 [size =\"9475072\"]\n  9 [size=\"97390592\", alpha=\"0.10\", expect_size=\"48695296\"] \n  9 -> 10 [size =\"48695296\"]\n  10 [size=\"98686976\", alpha=\"0.19\", expect_size=\"49343488\"] \n  10 -> 11 [size =\"49343488\"]\n  11 [size=\"96577536\", alpha=\"0.17\", expect_size=\"48288768\"] \n  11 -> 12 [size =\"48288768\"]\n  12 [size=\"81758208\", alpha=\"0.15\", expect_size=\"40879104\"] \n  12 -> 13 [size =\"40879104\"]\n  13 [size=\"50245632\", alpha=\"0.19\", expect_size=\"25122816\"] \n  13 -> 14 [size =\"25122816\"]\n  14 [size=\"23357440\", alpha=\"0.12\", expect_size=\"11678720\"] \n  14 -> 15 [size =\"11678720\"]\n  15 [size=\"31373312\", alpha=\"0.10\", expect_size=\"15686656\"] \n  15 -> 16 [size =\"15686656\"]\n  16 [size=\"88963072\", alpha=\"0.15\", expect_size=\"44481536\"] \n  16 -> 17 [size =\"44481536\"]\n  17 [size=\"91176960\", alpha=\"0.02\", expect_size=\"45588480\"] \n  17 -> 18 [size =\"45588480\"]\n  18 [size=\"62261248\", alpha=\"0.15\", expect_size=\"31130624\"] \n  18 -> 19 [size =\"31130624\"]\n  19 [size=\"74209280\", alpha=\"0.13\", expect_size=\"37104640\"] \n  19 -> 20 [size =\"37104640\"]\n  20 [size=\"25452544\", alpha=\"0.11\", expect_size=\"12726272\"] \n  20 -> 21 [size =\"12726272\"]\n  21 [size=\"20084736\", alpha=\"0.03\", expect_size=\"10042368\"] \n  21 -> 22 [size =\"10042368\"]\n  22 [size=\"102092800\", alpha=\"0.08\", expect_size=\"51046400\"] \n  22 -> 23 [size =\"51046400\"]\n  23 [size=\"77725696\", alpha=\"0.14\", expect_size=\"38862848\"] \n  23 -> 24 [size =\"38862848\"]\n  24 [size=\"72882176\", alpha=\"0.13\", expect_size=\"36441088\"] \n  24 -> 25 [size =\"36441088\"]\n  25 [size=\"36716544\", alpha=\"0.01\", expect_size=\"18358272\"] \n  25 -> 26 [size =\"18358272\"]\n  26 [size=\"85114880\", alpha=\"0.11\", expect_size=\"42557440\"] \n  26 -> 27 [size =\"42557440\"]\n  27 [size=\"63850496\", alpha=\"0.08\", expect_size=\"31925248\"] \n  27 -> 28 [size =\"31925248\"]\n  28 [size=\"73537536\", alpha=\"0.07\", expect_size=\"36768768\"] \n  28 -> 29 [size =\"36768768\"]\n  29 [size=\"51611648\", alpha=\"0.04\", expect_size=\"25805824\"] \n  29 -> 30 [size =\"25805824\"]\n  30 [size=\"18358272\", alpha=\"0.20\", expect_size=\"9179136\"] \n  30 -> 31 [size =\"9179136\"]\n  31 [size=\"70191104\", alpha=\"0.14\", expect_size=\"35095552\"] \n  31 -> 32 [size =\"35095552\"]\n  32 [size=\"84199424\", alpha=\"0.03\", expect_size=\"42099712\"] \n  32 -> 33 [size =\"42099712\"]\n  33 [size=\"25221120\", alpha=\"0.01\", expect_size=\"12610560\"] \n  33 -> 34 [size =\"12610560\"]\n  34 [size=\"90003456\", alpha=\"0.01\", expect_size=\"45001728\"] \n  34 -> 35 [size =\"45001728\"]\n  35 [size=\"55318528\", alpha=\"0.06\", expect_size=\"27659264\"] \n  35 -> 36 [size =\"27659264\"]\n  36 [size=\"59695104\", alpha=\"0.08\", expect_size=\"29847552\"] \n  36 -> 37 [size =\"29847552\"]\n  37 [size=\"15622144\", alpha=\"0.06\", expect_size=\"7811072\"] \n  37 -> 38 [size =\"7811072\"]\n  38 [size=\"51957760\", alpha=\"0.16\", expect_size=\"25978880\"] \n  38 -> 39 [size =\"25978880\"]\n  39 [size=\"82794496\", alpha=\"0.19\", expect_size=\"41397248\"] \n  39 -> 40 [size =\"41397248\"]\n  40 [size=\"100665344\", alpha=\"0.05\", expect_size=\"50332672\"] \n  40 -> 41 [size =\"50332672\"]\n  41 [size=\"99403776\", alpha=\"0.14\", expect_size=\"49701888\"] \n  41 -> 42 [size =\"49701888\"]\n  42 [size=\"70727680\", alpha=\"0.01\", expect_size=\"35363840\"] \n  42 -> 43 [size =\"35363840\"]\n  43 [size=\"85913600\", alpha=\"0.03\", expect_size=\"42956800\"] \n  43 -> 44 [size =\"42956800\"]\n  44 [size=\"90349568\", alpha=\"0.18\", expect_size=\"45174784\"] \n  44 -> 45 [size =\"45174784\"]\n  45 [size=\"96907264\", alpha=\"0.19\", expect_size=\"48453632\"] \n  45 -> 46 [size =\"48453632\"]\n  46 [size=\"32106496\", alpha=\"0.16\", expect_size=\"16053248\"] \n  46 -> 47 [size =\"16053248\"]\n  47 [size=\"68792320\", alpha=\"0.04\", expect_size=\"34396160\"] \n  47 -> 48 [size =\"34396160\"]\n  48 [size=\"98918400\", alpha=\"0.05\", expect_size=\"49459200\"] \n  48 -> 49 [size =\"49459200\"]\n  49 [size=\"79888384\", alpha=\"0.15\", expect_size=\"39944192\"] \n  49 -> 50 [size =\"39944192\"]\n  50 [size=\"75427840\", alpha=\"0.06\", expect_size=\"37713920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.35.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129840640\", alpha=\"0.19\", expect_size=\"51936256\"] \n  1 -> 4 [size =\"51936256\"]\n  1 -> 5 [size =\"51936256\"]\n  2 [size=\"51179520\", alpha=\"0.05\", expect_size=\"20471808\"] \n  2 -> 5 [size =\"20471808\"]\n  3 [size=\"60328960\", alpha=\"0.18\", expect_size=\"24131584\"] \n  3 -> 4 [size =\"24131584\"]\n  4 [size=\"97500160\", alpha=\"0.02\", expect_size=\"39000064\"] \n  4 -> 6 [size =\"39000064\"]\n  4 -> 7 [size =\"39000064\"]\n  5 [size=\"96990720\", alpha=\"0.07\", expect_size=\"38796288\"] \n  5 -> 7 [size =\"38796288\"]\n  6 [size=\"26938880\", alpha=\"0.03\", expect_size=\"10775552\"] \n  6 -> 9 [size =\"10775552\"]\n  7 [size=\"15516160\", alpha=\"0.00\", expect_size=\"6206464\"] \n  7 -> 8 [size =\"6206464\"]\n  8 [size=\"85470720\", alpha=\"0.02\", expect_size=\"34188288\"] \n  8 -> 10 [size =\"34188288\"]\n  8 -> 11 [size =\"34188288\"]\n  8 -> 12 [size =\"34188288\"]\n  9 [size=\"73666560\", alpha=\"0.00\", expect_size=\"29466624\"] \n  9 -> 11 [size =\"29466624\"]\n  10 [size=\"25367040\", alpha=\"0.13\", expect_size=\"10146816\"] \n  10 -> 14 [size =\"10146816\"]\n  11 [size=\"124119040\", alpha=\"0.05\", expect_size=\"49647616\"] \n  11 -> 13 [size =\"49647616\"]\n  11 -> 14 [size =\"49647616\"]\n  11 -> 15 [size =\"49647616\"]\n  12 [size=\"119201280\", alpha=\"0.08\", expect_size=\"47680512\"] \n  12 -> 13 [size =\"47680512\"]\n  13 [size=\"32407040\", alpha=\"0.13\", expect_size=\"12962816\"] \n  13 -> 18 [size =\"12962816\"]\n  14 [size=\"22850560\", alpha=\"0.04\", expect_size=\"9140224\"] \n  14 -> 16 [size =\"9140224\"]\n  14 -> 17 [size =\"9140224\"]\n  14 -> 18 [size =\"9140224\"]\n  15 [size=\"31984640\", alpha=\"0.18\", expect_size=\"12793856\"] \n  16 [size=\"71411200\", alpha=\"0.01\", expect_size=\"28564480\"] \n  16 -> 19 [size =\"28564480\"]\n  16 -> 20 [size =\"28564480\"]\n  16 -> 21 [size =\"28564480\"]\n  17 [size=\"90206720\", alpha=\"0.00\", expect_size=\"36082688\"] \n  18 [size=\"92810240\", alpha=\"0.05\", expect_size=\"37124096\"] \n  18 -> 20 [size =\"37124096\"]\n  18 -> 21 [size =\"37124096\"]\n  19 [size=\"104960000\", alpha=\"0.19\", expect_size=\"41984000\"] \n  19 -> 22 [size =\"41984000\"]\n  19 -> 23 [size =\"41984000\"]\n  19 -> 24 [size =\"41984000\"]\n  20 [size=\"105344000\", alpha=\"0.07\", expect_size=\"42137600\"] \n  20 -> 22 [size =\"42137600\"]\n  21 [size=\"61378560\", alpha=\"0.14\", expect_size=\"24551424\"] \n  21 -> 23 [size =\"24551424\"]\n  21 -> 24 [size =\"24551424\"]\n  22 [size=\"88424960\", alpha=\"0.08\", expect_size=\"35369984\"] \n  22 -> 25 [size =\"35369984\"]\n  22 -> 27 [size =\"35369984\"]\n  23 [size=\"18631680\", alpha=\"0.10\", expect_size=\"7452672\"] \n  23 -> 26 [size =\"7452672\"]\n  24 [size=\"95308800\", alpha=\"0.06\", expect_size=\"38123520\"] \n  24 -> 25 [size =\"38123520\"]\n  24 -> 26 [size =\"38123520\"]\n  25 [size=\"121840640\", alpha=\"0.16\", expect_size=\"48736256\"] \n  25 -> 29 [size =\"48736256\"]\n  26 [size=\"108858880\", alpha=\"0.09\", expect_size=\"43543552\"] \n  26 -> 28 [size =\"43543552\"]\n  27 [size=\"115650560\", alpha=\"0.02\", expect_size=\"46260224\"] \n  27 -> 29 [size =\"46260224\"]\n  28 [size=\"116997120\", alpha=\"0.07\", expect_size=\"46798848\"] \n  28 -> 30 [size =\"46798848\"]\n  29 [size=\"28515840\", alpha=\"0.02\", expect_size=\"11406336\"] \n  29 -> 31 [size =\"11406336\"]\n  30 [size=\"24192000\", alpha=\"0.00\", expect_size=\"9676800\"] \n  30 -> 33 [size =\"9676800\"]\n  31 [size=\"64120320\", alpha=\"0.17\", expect_size=\"25648128\"] \n  31 -> 32 [size =\"25648128\"]\n  31 -> 33 [size =\"25648128\"]\n  31 -> 34 [size =\"25648128\"]\n  32 [size=\"29102080\", alpha=\"0.11\", expect_size=\"11640832\"] \n  33 [size=\"75179520\", alpha=\"0.09\", expect_size=\"30071808\"] \n  34 [size=\"13642240\", alpha=\"0.08\", expect_size=\"5456896\"] \n  34 -> 35 [size =\"5456896\"]\n  34 -> 36 [size =\"5456896\"]\n  35 [size=\"46853120\", alpha=\"0.11\", expect_size=\"18741248\"] \n  35 -> 38 [size =\"18741248\"]\n  35 -> 39 [size =\"18741248\"]\n  36 [size=\"22768640\", alpha=\"0.03\", expect_size=\"9107456\"] \n  36 -> 37 [size =\"9107456\"]\n  36 -> 38 [size =\"9107456\"]\n  37 [size=\"73182720\", alpha=\"0.09\", expect_size=\"29273088\"] \n  37 -> 40 [size =\"29273088\"]\n  37 -> 41 [size =\"29273088\"]\n  38 [size=\"82539520\", alpha=\"0.08\", expect_size=\"33015808\"] \n  38 -> 42 [size =\"33015808\"]\n  39 [size=\"123210240\", alpha=\"0.02\", expect_size=\"49284096\"] \n  39 -> 40 [size =\"49284096\"]\n  39 -> 42 [size =\"49284096\"]\n  40 [size=\"19822080\", alpha=\"0.13\", expect_size=\"7928832\"] \n  40 -> 43 [size =\"7928832\"]\n  40 -> 45 [size =\"7928832\"]\n  41 [size=\"20567040\", alpha=\"0.11\", expect_size=\"8226816\"] \n  41 -> 43 [size =\"8226816\"]\n  41 -> 44 [size =\"8226816\"]\n  42 [size=\"118492160\", alpha=\"0.02\", expect_size=\"47396864\"] \n  42 -> 44 [size =\"47396864\"]\n  43 [size=\"65802240\", alpha=\"0.15\", expect_size=\"26320896\"] \n  44 [size=\"117724160\", alpha=\"0.01\", expect_size=\"47089664\"] \n  44 -> 46 [size =\"47089664\"]\n  45 [size=\"48074240\", alpha=\"0.05\", expect_size=\"19229696\"] \n  45 -> 47 [size =\"19229696\"]\n  45 -> 48 [size =\"19229696\"]\n  46 [size=\"111656960\", alpha=\"0.06\", expect_size=\"44662784\"] \n  47 [size=\"130851840\", alpha=\"0.04\", expect_size=\"52340736\"] \n  47 -> 49 [size =\"52340736\"]\n  48 [size=\"64793600\", alpha=\"0.20\", expect_size=\"25917440\"] \n  48 -> 50 [size =\"25917440\"]\n  49 [size=\"111152640\", alpha=\"0.18\", expect_size=\"44461056\"] \n  50 [size=\"125852160\", alpha=\"0.19\", expect_size=\"50340864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.36.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"62558208\", alpha=\"0.15\", expect_size=\"31279104\"] \n  1 -> 22 [size =\"31279104\"]\n  1 -> 22 [size =\"31279104\"]\n  1 -> 30 [size =\"31279104\"]\n  1 -> 36 [size =\"31279104\"]\n  1 -> 37 [size =\"31279104\"]\n  1 -> 38 [size =\"31279104\"]\n  2 [size=\"22915072\", alpha=\"0.10\", expect_size=\"11457536\"] \n  2 -> 27 [size =\"11457536\"]\n  2 -> 29 [size =\"11457536\"]\n  2 -> 33 [size =\"11457536\"]\n  2 -> 37 [size =\"11457536\"]\n  2 -> 38 [size =\"11457536\"]\n  3 [size=\"35983360\", alpha=\"0.08\", expect_size=\"17991680\"] \n  3 -> 21 [size =\"17991680\"]\n  3 -> 22 [size =\"17991680\"]\n  3 -> 26 [size =\"17991680\"]\n  3 -> 27 [size =\"17991680\"]\n  3 -> 29 [size =\"17991680\"]\n  3 -> 33 [size =\"17991680\"]\n  3 -> 36 [size =\"17991680\"]\n  3 -> 37 [size =\"17991680\"]\n  3 -> 38 [size =\"17991680\"]\n  4 [size=\"77670400\", alpha=\"0.08\", expect_size=\"38835200\"] \n  4 -> 21 [size =\"38835200\"]\n  4 -> 22 [size =\"38835200\"]\n  4 -> 25 [size =\"38835200\"]\n  4 -> 27 [size =\"38835200\"]\n  4 -> 29 [size =\"38835200\"]\n  4 -> 32 [size =\"38835200\"]\n  4 -> 33 [size =\"38835200\"]\n  4 -> 34 [size =\"38835200\"]\n  4 -> 36 [size =\"38835200\"]\n  4 -> 37 [size =\"38835200\"]\n  4 -> 38 [size =\"38835200\"]\n  5 [size=\"59652096\", alpha=\"0.13\", expect_size=\"29826048\"] \n  5 -> 19 [size =\"29826048\"]\n  5 -> 21 [size =\"29826048\"]\n  5 -> 22 [size =\"29826048\"]\n  5 -> 25 [size =\"29826048\"]\n  5 -> 32 [size =\"29826048\"]\n  5 -> 33 [size =\"29826048\"]\n  5 -> 36 [size =\"29826048\"]\n  6 [size=\"32835584\", alpha=\"0.05\", expect_size=\"16417792\"] \n  6 -> 19 [size =\"16417792\"]\n  6 -> 21 [size =\"16417792\"]\n  6 -> 22 [size =\"16417792\"]\n  6 -> 25 [size =\"16417792\"]\n  6 -> 27 [size =\"16417792\"]\n  6 -> 32 [size =\"16417792\"]\n  6 -> 39 [size =\"16417792\"]\n  7 [size=\"65456128\", alpha=\"0.09\", expect_size=\"32728064\"] \n  7 -> 20 [size =\"32728064\"]\n  7 -> 22 [size =\"32728064\"]\n  7 -> 27 [size =\"32728064\"]\n  7 -> 37 [size =\"32728064\"]\n  8 [size=\"80498688\", alpha=\"0.13\", expect_size=\"40249344\"] \n  8 -> 20 [size =\"40249344\"]\n  8 -> 26 [size =\"40249344\"]\n  8 -> 27 [size =\"40249344\"]\n  8 -> 28 [size =\"40249344\"]\n  8 -> 31 [size =\"40249344\"]\n  8 -> 32 [size =\"40249344\"]\n  8 -> 38 [size =\"40249344\"]\n  8 -> 39 [size =\"40249344\"]\n  9 [size=\"41775104\", alpha=\"0.04\", expect_size=\"20887552\"] \n  9 -> 21 [size =\"20887552\"]\n  9 -> 33 [size =\"20887552\"]\n  9 -> 39 [size =\"20887552\"]\n  10 [size=\"89245696\", alpha=\"0.03\", expect_size=\"44622848\"] \n  10 -> 22 [size =\"44622848\"]\n  10 -> 24 [size =\"44622848\"]\n  10 -> 33 [size =\"44622848\"]\n  11 [size=\"76597248\", alpha=\"0.10\", expect_size=\"38298624\"] \n  11 -> 21 [size =\"38298624\"]\n  11 -> 24 [size =\"38298624\"]\n  11 -> 25 [size =\"38298624\"]\n  11 -> 26 [size =\"38298624\"]\n  11 -> 33 [size =\"38298624\"]\n  11 -> 34 [size =\"38298624\"]\n  11 -> 36 [size =\"38298624\"]\n  11 -> 39 [size =\"38298624\"]\n  12 [size=\"55001088\", alpha=\"0.08\", expect_size=\"27500544\"] \n  12 -> 24 [size =\"27500544\"]\n  12 -> 25 [size =\"27500544\"]\n  12 -> 27 [size =\"27500544\"]\n  12 -> 37 [size =\"27500544\"]\n  12 -> 38 [size =\"27500544\"]\n  13 [size=\"100179968\", alpha=\"0.14\", expect_size=\"50089984\"] \n  13 -> 19 [size =\"50089984\"]\n  13 -> 24 [size =\"50089984\"]\n  13 -> 25 [size =\"50089984\"]\n  13 -> 27 [size =\"50089984\"]\n  13 -> 30 [size =\"50089984\"]\n  13 -> 32 [size =\"50089984\"]\n  13 -> 33 [size =\"50089984\"]\n  13 -> 36 [size =\"50089984\"]\n  13 -> 37 [size =\"50089984\"]\n  13 -> 39 [size =\"50089984\"]\n  14 [size=\"44531712\", alpha=\"0.16\", expect_size=\"22265856\"] \n  14 -> 19 [size =\"22265856\"]\n  14 -> 20 [size =\"22265856\"]\n  14 -> 23 [size =\"22265856\"]\n  14 -> 24 [size =\"22265856\"]\n  14 -> 27 [size =\"22265856\"]\n  14 -> 28 [size =\"22265856\"]\n  14 -> 30 [size =\"22265856\"]\n  14 -> 32 [size =\"22265856\"]\n  14 -> 33 [size =\"22265856\"]\n  14 -> 35 [size =\"22265856\"]\n  14 -> 37 [size =\"22265856\"]\n  14 -> 38 [size =\"22265856\"]\n  14 -> 39 [size =\"22265856\"]\n  15 [size=\"81328128\", alpha=\"0.16\", expect_size=\"40664064\"] \n  15 -> 24 [size =\"40664064\"]\n  15 -> 28 [size =\"40664064\"]\n  16 [size=\"49225728\", alpha=\"0.03\", expect_size=\"24612864\"] \n  16 -> 19 [size =\"24612864\"]\n  16 -> 21 [size =\"24612864\"]\n  16 -> 22 [size =\"24612864\"]\n  16 -> 24 [size =\"24612864\"]\n  16 -> 28 [size =\"24612864\"]\n  16 -> 30 [size =\"24612864\"]\n  16 -> 31 [size =\"24612864\"]\n  16 -> 32 [size =\"24612864\"]\n  16 -> 33 [size =\"24612864\"]\n  16 -> 36 [size =\"24612864\"]\n  16 -> 39 [size =\"24612864\"]\n  17 [size=\"73295872\", alpha=\"0.18\", expect_size=\"36647936\"] \n  17 -> 20 [size =\"36647936\"]\n  17 -> 21 [size =\"36647936\"]\n  17 -> 24 [size =\"36647936\"]\n  17 -> 31 [size =\"36647936\"]\n  17 -> 32 [size =\"36647936\"]\n  17 -> 34 [size =\"36647936\"]\n  17 -> 36 [size =\"36647936\"]\n  17 -> 37 [size =\"36647936\"]\n  17 -> 38 [size =\"36647936\"]\n  18 [size=\"19585024\", alpha=\"0.15\", expect_size=\"9792512\"] \n  18 -> 21 [size =\"9792512\"]\n  18 -> 22 [size =\"9792512\"]\n  18 -> 30 [size =\"9792512\"]\n  18 -> 32 [size =\"9792512\"]\n  18 -> 33 [size =\"9792512\"]\n  18 -> 36 [size =\"9792512\"]\n  18 -> 38 [size =\"9792512\"]\n  18 -> 39 [size =\"9792512\"]\n  19 [size=\"83030016\", alpha=\"0.13\", expect_size=\"41515008\"] \n  19 -> 41 [size =\"41515008\"]\n  20 [size=\"103368704\", alpha=\"0.06\", expect_size=\"51684352\"] \n  20 -> 41 [size =\"51684352\"]\n  20 -> 47 [size =\"51684352\"]\n  21 [size=\"21655552\", alpha=\"0.10\", expect_size=\"10827776\"] \n  22 [size=\"69558272\", alpha=\"0.16\", expect_size=\"34779136\"] \n  22 -> 43 [size =\"34779136\"]\n  22 -> 44 [size =\"34779136\"]\n  23 [size=\"11759616\", alpha=\"0.08\", expect_size=\"5879808\"] \n  23 -> 40 [size =\"5879808\"]\n  23 -> 41 [size =\"5879808\"]\n  23 -> 43 [size =\"5879808\"]\n  23 -> 48 [size =\"5879808\"]\n  24 [size=\"77416448\", alpha=\"0.14\", expect_size=\"38708224\"] \n  24 -> 43 [size =\"38708224\"]\n  24 -> 47 [size =\"38708224\"]\n  24 -> 48 [size =\"38708224\"]\n  25 [size=\"56653824\", alpha=\"0.10\", expect_size=\"28326912\"] \n  25 -> 45 [size =\"28326912\"]\n  26 [size=\"38936576\", alpha=\"0.12\", expect_size=\"19468288\"] \n  26 -> 47 [size =\"19468288\"]\n  26 -> 50 [size =\"19468288\"]\n  27 [size=\"51662848\", alpha=\"0.04\", expect_size=\"25831424\"] \n  27 -> 45 [size =\"25831424\"]\n  27 -> 47 [size =\"25831424\"]\n  27 -> 50 [size =\"25831424\"]\n  28 [size=\"39866368\", alpha=\"0.12\", expect_size=\"19933184\"] \n  28 -> 41 [size =\"19933184\"]\n  28 -> 43 [size =\"19933184\"]\n  28 -> 47 [size =\"19933184\"]\n  29 [size=\"16152576\", alpha=\"0.06\", expect_size=\"8076288\"] \n  29 -> 40 [size =\"8076288\"]\n  29 -> 41 [size =\"8076288\"]\n  29 -> 45 [size =\"8076288\"]\n  30 [size=\"79159296\", alpha=\"0.17\", expect_size=\"39579648\"] \n  30 -> 41 [size =\"39579648\"]\n  30 -> 45 [size =\"39579648\"]\n  30 -> 46 [size =\"39579648\"]\n  30 -> 47 [size =\"39579648\"]\n  30 -> 48 [size =\"39579648\"]\n  31 [size=\"13424640\", alpha=\"0.02\", expect_size=\"6712320\"] \n  31 -> 45 [size =\"6712320\"]\n  31 -> 46 [size =\"6712320\"]\n  31 -> 50 [size =\"6712320\"]\n  32 [size=\"59762688\", alpha=\"0.17\", expect_size=\"29881344\"] \n  33 [size=\"41865216\", alpha=\"0.10\", expect_size=\"20932608\"] \n  33 -> 42 [size =\"20932608\"]\n  33 -> 45 [size =\"20932608\"]\n  34 [size=\"79597568\", alpha=\"0.11\", expect_size=\"39798784\"] \n  34 -> 43 [size =\"39798784\"]\n  34 -> 44 [size =\"39798784\"]\n  35 [size=\"51402752\", alpha=\"0.07\", expect_size=\"25701376\"] \n  35 -> 43 [size =\"25701376\"]\n  35 -> 45 [size =\"25701376\"]\n  35 -> 48 [size =\"25701376\"]\n  36 [size=\"100820992\", alpha=\"0.11\", expect_size=\"50410496\"] \n  36 -> 40 [size =\"50410496\"]\n  36 -> 43 [size =\"50410496\"]\n  36 -> 45 [size =\"50410496\"]\n  36 -> 47 [size =\"50410496\"]\n  37 [size=\"61460480\", alpha=\"0.08\", expect_size=\"30730240\"] \n  37 -> 41 [size =\"30730240\"]\n  37 -> 45 [size =\"30730240\"]\n  37 -> 48 [size =\"30730240\"]\n  37 -> 49 [size =\"30730240\"]\n  38 [size=\"82663424\", alpha=\"0.07\", expect_size=\"41331712\"] \n  38 -> 40 [size =\"41331712\"]\n  38 -> 44 [size =\"41331712\"]\n  38 -> 47 [size =\"41331712\"]\n  39 [size=\"45699072\", alpha=\"0.01\", expect_size=\"22849536\"] \n  39 -> 43 [size =\"22849536\"]\n  39 -> 45 [size =\"22849536\"]\n  39 -> 50 [size =\"22849536\"]\n  40 [size=\"76232704\", alpha=\"0.16\", expect_size=\"38116352\"] \n  41 [size=\"64278528\", alpha=\"0.12\", expect_size=\"32139264\"] \n  42 [size=\"75952128\", alpha=\"0.01\", expect_size=\"37976064\"] \n  43 [size=\"61396992\", alpha=\"0.11\", expect_size=\"30698496\"] \n  44 [size=\"15935488\", alpha=\"0.14\", expect_size=\"7967744\"] \n  45 [size=\"67985408\", alpha=\"0.07\", expect_size=\"33992704\"] \n  46 [size=\"99647488\", alpha=\"0.07\", expect_size=\"49823744\"] \n  47 [size=\"55291904\", alpha=\"0.15\", expect_size=\"27645952\"] \n  48 [size=\"92098560\", alpha=\"0.09\", expect_size=\"46049280\"] \n  49 [size=\"30425088\", alpha=\"0.05\", expect_size=\"15212544\"] \n  50 [size=\"37191680\", alpha=\"0.15\", expect_size=\"18595840\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.37.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40073216\", alpha=\"0.14\", expect_size=\"20036608\"] \n  1 -> 2 [size =\"20036608\"]\n  2 [size=\"100198400\", alpha=\"0.18\", expect_size=\"50099200\"] \n  2 -> 3 [size =\"50099200\"]\n  3 [size=\"36171776\", alpha=\"0.02\", expect_size=\"18085888\"] \n  3 -> 4 [size =\"18085888\"]\n  4 [size=\"44726272\", alpha=\"0.13\", expect_size=\"22363136\"] \n  4 -> 5 [size =\"22363136\"]\n  5 [size=\"93892608\", alpha=\"0.13\", expect_size=\"46946304\"] \n  5 -> 6 [size =\"46946304\"]\n  6 [size=\"19243008\", alpha=\"0.18\", expect_size=\"9621504\"] \n  6 -> 7 [size =\"9621504\"]\n  7 [size=\"71882752\", alpha=\"0.14\", expect_size=\"35941376\"] \n  7 -> 8 [size =\"35941376\"]\n  8 [size=\"71063552\", alpha=\"0.05\", expect_size=\"35531776\"] \n  8 -> 9 [size =\"35531776\"]\n  9 [size=\"23740416\", alpha=\"0.13\", expect_size=\"11870208\"] \n  9 -> 10 [size =\"11870208\"]\n  10 [size=\"64317440\", alpha=\"0.14\", expect_size=\"32158720\"] \n  10 -> 11 [size =\"32158720\"]\n  11 [size=\"68345856\", alpha=\"0.14\", expect_size=\"34172928\"] \n  11 -> 12 [size =\"34172928\"]\n  12 [size=\"42020864\", alpha=\"0.06\", expect_size=\"21010432\"] \n  12 -> 13 [size =\"21010432\"]\n  13 [size=\"33257472\", alpha=\"0.01\", expect_size=\"16628736\"] \n  13 -> 14 [size =\"16628736\"]\n  14 [size=\"43812864\", alpha=\"0.02\", expect_size=\"21906432\"] \n  14 -> 15 [size =\"21906432\"]\n  15 [size=\"11470848\", alpha=\"0.14\", expect_size=\"5735424\"] \n  15 -> 16 [size =\"5735424\"]\n  16 [size=\"74713088\", alpha=\"0.12\", expect_size=\"37356544\"] \n  16 -> 17 [size =\"37356544\"]\n  17 [size=\"64450560\", alpha=\"0.07\", expect_size=\"32225280\"] \n  17 -> 18 [size =\"32225280\"]\n  18 [size=\"35848192\", alpha=\"0.13\", expect_size=\"17924096\"] \n  18 -> 19 [size =\"17924096\"]\n  19 [size=\"57628672\", alpha=\"0.05\", expect_size=\"28814336\"] \n  19 -> 20 [size =\"28814336\"]\n  20 [size=\"22804480\", alpha=\"0.10\", expect_size=\"11402240\"] \n  20 -> 21 [size =\"11402240\"]\n  21 [size=\"89980928\", alpha=\"0.01\", expect_size=\"44990464\"] \n  21 -> 22 [size =\"44990464\"]\n  22 [size=\"60116992\", alpha=\"0.12\", expect_size=\"30058496\"] \n  22 -> 23 [size =\"30058496\"]\n  23 [size=\"90144768\", alpha=\"0.08\", expect_size=\"45072384\"] \n  23 -> 24 [size =\"45072384\"]\n  24 [size=\"93251584\", alpha=\"0.11\", expect_size=\"46625792\"] \n  24 -> 25 [size =\"46625792\"]\n  25 [size=\"100550656\", alpha=\"0.12\", expect_size=\"50275328\"] \n  25 -> 26 [size =\"50275328\"]\n  26 [size=\"71673856\", alpha=\"0.15\", expect_size=\"35836928\"] \n  26 -> 27 [size =\"35836928\"]\n  27 [size=\"35997696\", alpha=\"0.11\", expect_size=\"17998848\"] \n  27 -> 28 [size =\"17998848\"]\n  28 [size=\"66945024\", alpha=\"0.20\", expect_size=\"33472512\"] \n  28 -> 29 [size =\"33472512\"]\n  29 [size=\"32530432\", alpha=\"0.11\", expect_size=\"16265216\"] \n  29 -> 30 [size =\"16265216\"]\n  30 [size=\"53975040\", alpha=\"0.14\", expect_size=\"26987520\"] \n  30 -> 31 [size =\"26987520\"]\n  31 [size=\"100548608\", alpha=\"0.09\", expect_size=\"50274304\"] \n  31 -> 32 [size =\"50274304\"]\n  32 [size=\"13090816\", alpha=\"0.11\", expect_size=\"6545408\"] \n  32 -> 33 [size =\"6545408\"]\n  33 [size=\"70064128\", alpha=\"0.18\", expect_size=\"35032064\"] \n  33 -> 34 [size =\"35032064\"]\n  34 [size=\"14036992\", alpha=\"0.12\", expect_size=\"7018496\"] \n  34 -> 35 [size =\"7018496\"]\n  35 [size=\"67995648\", alpha=\"0.06\", expect_size=\"33997824\"] \n  35 -> 36 [size =\"33997824\"]\n  36 [size=\"32233472\", alpha=\"0.13\", expect_size=\"16116736\"] \n  36 -> 37 [size =\"16116736\"]\n  37 [size=\"104251392\", alpha=\"0.12\", expect_size=\"52125696\"] \n  37 -> 38 [size =\"52125696\"]\n  38 [size=\"62334976\", alpha=\"0.17\", expect_size=\"31167488\"] \n  38 -> 39 [size =\"31167488\"]\n  39 [size=\"61431808\", alpha=\"0.11\", expect_size=\"30715904\"] \n  39 -> 40 [size =\"30715904\"]\n  40 [size=\"20428800\", alpha=\"0.08\", expect_size=\"10214400\"] \n  40 -> 41 [size =\"10214400\"]\n  41 [size=\"87525376\", alpha=\"0.02\", expect_size=\"43762688\"] \n  41 -> 42 [size =\"43762688\"]\n  42 [size=\"37470208\", alpha=\"0.06\", expect_size=\"18735104\"] \n  42 -> 43 [size =\"18735104\"]\n  43 [size=\"90542080\", alpha=\"0.07\", expect_size=\"45271040\"] \n  43 -> 44 [size =\"45271040\"]\n  44 [size=\"80771072\", alpha=\"0.06\", expect_size=\"40385536\"] \n  44 -> 45 [size =\"40385536\"]\n  45 [size=\"41482240\", alpha=\"0.04\", expect_size=\"20741120\"] \n  45 -> 46 [size =\"20741120\"]\n  46 [size=\"68036608\", alpha=\"0.15\", expect_size=\"34018304\"] \n  46 -> 47 [size =\"34018304\"]\n  47 [size=\"35917824\", alpha=\"0.11\", expect_size=\"17958912\"] \n  47 -> 48 [size =\"17958912\"]\n  48 [size=\"93464576\", alpha=\"0.19\", expect_size=\"46732288\"] \n  48 -> 49 [size =\"46732288\"]\n  49 [size=\"77297664\", alpha=\"0.12\", expect_size=\"38648832\"] \n  49 -> 50 [size =\"38648832\"]\n  50 [size=\"34557952\", alpha=\"0.14\", expect_size=\"17278976\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.38.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95505920\", alpha=\"0.07\", expect_size=\"38202368\"] \n  1 -> 9 [size =\"38202368\"]\n  1 -> 10 [size =\"38202368\"]\n  1 -> 11 [size =\"38202368\"]\n  1 -> 12 [size =\"38202368\"]\n  1 -> 13 [size =\"38202368\"]\n  2 [size=\"78622720\", alpha=\"0.06\", expect_size=\"31449088\"] \n  2 -> 9 [size =\"31449088\"]\n  2 -> 10 [size =\"31449088\"]\n  2 -> 11 [size =\"31449088\"]\n  2 -> 12 [size =\"31449088\"]\n  3 [size=\"113781760\", alpha=\"0.05\", expect_size=\"45512704\"] \n  3 -> 8 [size =\"45512704\"]\n  3 -> 9 [size =\"45512704\"]\n  3 -> 10 [size =\"45512704\"]\n  3 -> 11 [size =\"45512704\"]\n  3 -> 12 [size =\"45512704\"]\n  4 [size=\"38307840\", alpha=\"0.19\", expect_size=\"15323136\"] \n  4 -> 10 [size =\"15323136\"]\n  4 -> 11 [size =\"15323136\"]\n  4 -> 12 [size =\"15323136\"]\n  4 -> 13 [size =\"15323136\"]\n  5 [size=\"17914880\", alpha=\"0.01\", expect_size=\"7165952\"] \n  5 -> 9 [size =\"7165952\"]\n  5 -> 10 [size =\"7165952\"]\n  5 -> 11 [size =\"7165952\"]\n  5 -> 13 [size =\"7165952\"]\n  6 [size=\"61603840\", alpha=\"0.06\", expect_size=\"24641536\"] \n  6 -> 9 [size =\"24641536\"]\n  6 -> 10 [size =\"24641536\"]\n  6 -> 11 [size =\"24641536\"]\n  6 -> 12 [size =\"24641536\"]\n  6 -> 13 [size =\"24641536\"]\n  7 [size=\"13877760\", alpha=\"0.16\", expect_size=\"5551104\"] \n  7 -> 9 [size =\"5551104\"]\n  7 -> 10 [size =\"5551104\"]\n  7 -> 11 [size =\"5551104\"]\n  8 [size=\"126988800\", alpha=\"0.09\", expect_size=\"50795520\"] \n  8 -> 14 [size =\"50795520\"]\n  8 -> 16 [size =\"50795520\"]\n  8 -> 17 [size =\"50795520\"]\n  8 -> 18 [size =\"50795520\"]\n  8 -> 19 [size =\"50795520\"]\n  8 -> 20 [size =\"50795520\"]\n  9 [size=\"17303040\", alpha=\"0.05\", expect_size=\"6921216\"] \n  9 -> 14 [size =\"6921216\"]\n  9 -> 17 [size =\"6921216\"]\n  9 -> 18 [size =\"6921216\"]\n  10 [size=\"30126080\", alpha=\"0.17\", expect_size=\"12050432\"] \n  10 -> 14 [size =\"12050432\"]\n  10 -> 18 [size =\"12050432\"]\n  11 [size=\"96069120\", alpha=\"0.09\", expect_size=\"38427648\"] \n  11 -> 14 [size =\"38427648\"]\n  11 -> 15 [size =\"38427648\"]\n  11 -> 18 [size =\"38427648\"]\n  11 -> 19 [size =\"38427648\"]\n  12 [size=\"18787840\", alpha=\"0.05\", expect_size=\"7515136\"] \n  12 -> 14 [size =\"7515136\"]\n  12 -> 16 [size =\"7515136\"]\n  12 -> 17 [size =\"7515136\"]\n  12 -> 19 [size =\"7515136\"]\n  12 -> 20 [size =\"7515136\"]\n  13 [size=\"52997120\", alpha=\"0.12\", expect_size=\"21198848\"] \n  13 -> 14 [size =\"21198848\"]\n  13 -> 16 [size =\"21198848\"]\n  13 -> 17 [size =\"21198848\"]\n  13 -> 18 [size =\"21198848\"]\n  14 [size=\"83328000\", alpha=\"0.13\", expect_size=\"33331200\"] \n  14 -> 21 [size =\"33331200\"]\n  14 -> 24 [size =\"33331200\"]\n  14 -> 27 [size =\"33331200\"]\n  15 [size=\"79559680\", alpha=\"0.18\", expect_size=\"31823872\"] \n  15 -> 22 [size =\"31823872\"]\n  16 [size=\"85365760\", alpha=\"0.02\", expect_size=\"34146304\"] \n  16 -> 22 [size =\"34146304\"]\n  16 -> 23 [size =\"34146304\"]\n  16 -> 24 [size =\"34146304\"]\n  17 [size=\"119367680\", alpha=\"0.04\", expect_size=\"47747072\"] \n  17 -> 21 [size =\"47747072\"]\n  17 -> 24 [size =\"47747072\"]\n  17 -> 25 [size =\"47747072\"]\n  17 -> 26 [size =\"47747072\"]\n  17 -> 27 [size =\"47747072\"]\n  18 [size=\"94092800\", alpha=\"0.10\", expect_size=\"37637120\"] \n  18 -> 21 [size =\"37637120\"]\n  18 -> 22 [size =\"37637120\"]\n  18 -> 23 [size =\"37637120\"]\n  18 -> 24 [size =\"37637120\"]\n  18 -> 25 [size =\"37637120\"]\n  19 [size=\"27461120\", alpha=\"0.07\", expect_size=\"10984448\"] \n  19 -> 21 [size =\"10984448\"]\n  19 -> 22 [size =\"10984448\"]\n  19 -> 24 [size =\"10984448\"]\n  19 -> 26 [size =\"10984448\"]\n  19 -> 27 [size =\"10984448\"]\n  20 [size=\"58864640\", alpha=\"0.17\", expect_size=\"23545856\"] \n  20 -> 21 [size =\"23545856\"]\n  20 -> 22 [size =\"23545856\"]\n  20 -> 24 [size =\"23545856\"]\n  20 -> 25 [size =\"23545856\"]\n  20 -> 26 [size =\"23545856\"]\n  20 -> 27 [size =\"23545856\"]\n  21 [size=\"40048640\", alpha=\"0.02\", expect_size=\"16019456\"] \n  21 -> 29 [size =\"16019456\"]\n  21 -> 30 [size =\"16019456\"]\n  21 -> 31 [size =\"16019456\"]\n  21 -> 33 [size =\"16019456\"]\n  22 [size=\"92835840\", alpha=\"0.17\", expect_size=\"37134336\"] \n  22 -> 29 [size =\"37134336\"]\n  22 -> 30 [size =\"37134336\"]\n  22 -> 32 [size =\"37134336\"]\n  22 -> 33 [size =\"37134336\"]\n  23 [size=\"123781120\", alpha=\"0.10\", expect_size=\"49512448\"] \n  23 -> 28 [size =\"49512448\"]\n  23 -> 29 [size =\"49512448\"]\n  23 -> 30 [size =\"49512448\"]\n  23 -> 31 [size =\"49512448\"]\n  23 -> 33 [size =\"49512448\"]\n  24 [size=\"78835200\", alpha=\"0.06\", expect_size=\"31534080\"] \n  24 -> 28 [size =\"31534080\"]\n  24 -> 30 [size =\"31534080\"]\n  24 -> 30 [size =\"31534080\"]\n  24 -> 31 [size =\"31534080\"]\n  25 [size=\"34639360\", alpha=\"0.04\", expect_size=\"13855744\"] \n  25 -> 31 [size =\"13855744\"]\n  25 -> 32 [size =\"13855744\"]\n  25 -> 33 [size =\"13855744\"]\n  26 [size=\"25287680\", alpha=\"0.10\", expect_size=\"10115072\"] \n  26 -> 28 [size =\"10115072\"]\n  26 -> 30 [size =\"10115072\"]\n  26 -> 31 [size =\"10115072\"]\n  26 -> 32 [size =\"10115072\"]\n  26 -> 33 [size =\"10115072\"]\n  27 [size=\"34275840\", alpha=\"0.16\", expect_size=\"13710336\"] \n  27 -> 29 [size =\"13710336\"]\n  27 -> 31 [size =\"13710336\"]\n  27 -> 33 [size =\"13710336\"]\n  28 [size=\"55966720\", alpha=\"0.01\", expect_size=\"22386688\"] \n  28 -> 35 [size =\"22386688\"]\n  28 -> 39 [size =\"22386688\"]\n  28 -> 40 [size =\"22386688\"]\n  29 [size=\"112046080\", alpha=\"0.07\", expect_size=\"44818432\"] \n  29 -> 35 [size =\"44818432\"]\n  29 -> 36 [size =\"44818432\"]\n  29 -> 38 [size =\"44818432\"]\n  29 -> 39 [size =\"44818432\"]\n  29 -> 40 [size =\"44818432\"]\n  30 [size=\"34406400\", alpha=\"0.16\", expect_size=\"13762560\"] \n  30 -> 35 [size =\"13762560\"]\n  30 -> 37 [size =\"13762560\"]\n  30 -> 38 [size =\"13762560\"]\n  30 -> 40 [size =\"13762560\"]\n  31 [size=\"17986560\", alpha=\"0.19\", expect_size=\"7194624\"] \n  31 -> 34 [size =\"7194624\"]\n  31 -> 37 [size =\"7194624\"]\n  31 -> 39 [size =\"7194624\"]\n  31 -> 40 [size =\"7194624\"]\n  32 [size=\"27225600\", alpha=\"0.03\", expect_size=\"10890240\"] \n  32 -> 34 [size =\"10890240\"]\n  32 -> 36 [size =\"10890240\"]\n  32 -> 39 [size =\"10890240\"]\n  33 [size=\"127636480\", alpha=\"0.13\", expect_size=\"51054592\"] \n  33 -> 38 [size =\"51054592\"]\n  33 -> 39 [size =\"51054592\"]\n  33 -> 39 [size =\"51054592\"]\n  34 [size=\"66001920\", alpha=\"0.16\", expect_size=\"26400768\"] \n  34 -> 41 [size =\"26400768\"]\n  34 -> 44 [size =\"26400768\"]\n  34 -> 45 [size =\"26400768\"]\n  34 -> 46 [size =\"26400768\"]\n  35 [size=\"103454720\", alpha=\"0.10\", expect_size=\"41381888\"] \n  35 -> 41 [size =\"41381888\"]\n  35 -> 43 [size =\"41381888\"]\n  35 -> 44 [size =\"41381888\"]\n  35 -> 45 [size =\"41381888\"]\n  35 -> 46 [size =\"41381888\"]\n  36 [size=\"126840320\", alpha=\"0.16\", expect_size=\"50736128\"] \n  36 -> 44 [size =\"50736128\"]\n  36 -> 46 [size =\"50736128\"]\n  37 [size=\"66690560\", alpha=\"0.00\", expect_size=\"26676224\"] \n  37 -> 42 [size =\"26676224\"]\n  37 -> 46 [size =\"26676224\"]\n  38 [size=\"41740800\", alpha=\"0.18\", expect_size=\"16696320\"] \n  38 -> 42 [size =\"16696320\"]\n  38 -> 43 [size =\"16696320\"]\n  38 -> 45 [size =\"16696320\"]\n  39 [size=\"47910400\", alpha=\"0.18\", expect_size=\"19164160\"] \n  39 -> 41 [size =\"19164160\"]\n  39 -> 45 [size =\"19164160\"]\n  39 -> 47 [size =\"19164160\"]\n  40 [size=\"89395200\", alpha=\"0.06\", expect_size=\"35758080\"] \n  40 -> 41 [size =\"35758080\"]\n  40 -> 42 [size =\"35758080\"]\n  40 -> 43 [size =\"35758080\"]\n  40 -> 45 [size =\"35758080\"]\n  40 -> 46 [size =\"35758080\"]\n  41 [size=\"65251840\", alpha=\"0.19\", expect_size=\"26100736\"] \n  41 -> 48 [size =\"26100736\"]\n  41 -> 50 [size =\"26100736\"]\n  42 [size=\"58439680\", alpha=\"0.05\", expect_size=\"23375872\"] \n  42 -> 50 [size =\"23375872\"]\n  43 [size=\"74641920\", alpha=\"0.10\", expect_size=\"29856768\"] \n  43 -> 49 [size =\"29856768\"]\n  44 [size=\"35783680\", alpha=\"0.06\", expect_size=\"14313472\"] \n  44 -> 49 [size =\"14313472\"]\n  45 [size=\"130055680\", alpha=\"0.05\", expect_size=\"52022272\"] \n  45 -> 48 [size =\"52022272\"]\n  45 -> 49 [size =\"52022272\"]\n  46 [size=\"70010880\", alpha=\"0.07\", expect_size=\"28004352\"] \n  46 -> 48 [size =\"28004352\"]\n  46 -> 49 [size =\"28004352\"]\n  46 -> 50 [size =\"28004352\"]\n  47 [size=\"45880320\", alpha=\"0.12\", expect_size=\"18352128\"] \n  47 -> 49 [size =\"18352128\"]\n  47 -> 49 [size =\"18352128\"]\n  48 [size=\"45957120\", alpha=\"0.05\", expect_size=\"18382848\"] \n  49 [size=\"33264640\", alpha=\"0.14\", expect_size=\"13305856\"] \n  50 [size=\"22156800\", alpha=\"0.07\", expect_size=\"8862720\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.39.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"61047467\", alpha=\"0.18\", expect_size=\"18314240\"] \n  1 -> 4 [size =\"18314240\"]\n  1 -> 5 [size =\"18314240\"]\n  2 [size=\"86241280\", alpha=\"0.02\", expect_size=\"25872384\"] \n  2 -> 4 [size =\"25872384\"]\n  3 [size=\"52995413\", alpha=\"0.20\", expect_size=\"15898624\"] \n  4 [size=\"166229333\", alpha=\"0.10\", expect_size=\"49868800\"] \n  4 -> 6 [size =\"49868800\"]\n  5 [size=\"144445440\", alpha=\"0.14\", expect_size=\"43333632\"] \n  5 -> 6 [size =\"43333632\"]\n  5 -> 7 [size =\"43333632\"]\n  6 [size=\"60422827\", alpha=\"0.15\", expect_size=\"18126848\"] \n  6 -> 8 [size =\"18126848\"]\n  6 -> 9 [size =\"18126848\"]\n  7 [size=\"27395413\", alpha=\"0.12\", expect_size=\"8218624\"] \n  7 -> 8 [size =\"8218624\"]\n  7 -> 9 [size =\"8218624\"]\n  8 [size=\"69717333\", alpha=\"0.19\", expect_size=\"20915200\"] \n  8 -> 10 [size =\"20915200\"]\n  8 -> 11 [size =\"20915200\"]\n  8 -> 12 [size =\"20915200\"]\n  9 [size=\"165522773\", alpha=\"0.16\", expect_size=\"49656832\"] \n  9 -> 11 [size =\"49656832\"]\n  9 -> 12 [size =\"49656832\"]\n  10 [size=\"128768000\", alpha=\"0.00\", expect_size=\"38630400\"] \n  10 -> 13 [size =\"38630400\"]\n  10 -> 14 [size =\"38630400\"]\n  11 [size=\"110182400\", alpha=\"0.14\", expect_size=\"33054720\"] \n  11 -> 13 [size =\"33054720\"]\n  12 [size=\"93088427\", alpha=\"0.17\", expect_size=\"27926528\"] \n  12 -> 13 [size =\"27926528\"]\n  12 -> 14 [size =\"27926528\"]\n  13 [size=\"108858027\", alpha=\"0.15\", expect_size=\"32657408\"] \n  13 -> 15 [size =\"32657408\"]\n  13 -> 16 [size =\"32657408\"]\n  13 -> 17 [size =\"32657408\"]\n  14 [size=\"106048853\", alpha=\"0.16\", expect_size=\"31814656\"] \n  14 -> 15 [size =\"31814656\"]\n  14 -> 16 [size =\"31814656\"]\n  14 -> 17 [size =\"31814656\"]\n  15 [size=\"28095147\", alpha=\"0.06\", expect_size=\"8428544\"] \n  15 -> 18 [size =\"8428544\"]\n  15 -> 19 [size =\"8428544\"]\n  16 [size=\"135280640\", alpha=\"0.14\", expect_size=\"40584192\"] \n  16 -> 19 [size =\"40584192\"]\n  16 -> 20 [size =\"40584192\"]\n  17 [size=\"99399680\", alpha=\"0.16\", expect_size=\"29819904\"] \n  17 -> 19 [size =\"29819904\"]\n  17 -> 20 [size =\"29819904\"]\n  18 [size=\"32843093\", alpha=\"0.15\", expect_size=\"9852928\"] \n  18 -> 21 [size =\"9852928\"]\n  19 [size=\"25060693\", alpha=\"0.11\", expect_size=\"7518208\"] \n  19 -> 21 [size =\"7518208\"]\n  19 -> 22 [size =\"7518208\"]\n  19 -> 23 [size =\"7518208\"]\n  20 [size=\"147824640\", alpha=\"0.20\", expect_size=\"44347392\"] \n  20 -> 22 [size =\"44347392\"]\n  20 -> 22 [size =\"44347392\"]\n  20 -> 23 [size =\"44347392\"]\n  21 [size=\"150097920\", alpha=\"0.14\", expect_size=\"45029376\"] \n  21 -> 24 [size =\"45029376\"]\n  22 [size=\"101321387\", alpha=\"0.16\", expect_size=\"30396416\"] \n  22 -> 25 [size =\"30396416\"]\n  23 [size=\"74707627\", alpha=\"0.04\", expect_size=\"22412288\"] \n  23 -> 25 [size =\"22412288\"]\n  24 [size=\"34041173\", alpha=\"0.10\", expect_size=\"10212352\"] \n  24 -> 26 [size =\"10212352\"]\n  24 -> 27 [size =\"10212352\"]\n  25 [size=\"162304000\", alpha=\"0.12\", expect_size=\"48691200\"] \n  25 -> 26 [size =\"48691200\"]\n  25 -> 28 [size =\"48691200\"]\n  26 [size=\"49257813\", alpha=\"0.00\", expect_size=\"14777344\"] \n  26 -> 30 [size =\"14777344\"]\n  27 [size=\"162225493\", alpha=\"0.09\", expect_size=\"48667648\"] \n  27 -> 29 [size =\"48667648\"]\n  27 -> 30 [size =\"48667648\"]\n  28 [size=\"130358613\", alpha=\"0.05\", expect_size=\"39107584\"] \n  28 -> 30 [size =\"39107584\"]\n  29 [size=\"88217600\", alpha=\"0.20\", expect_size=\"26465280\"] \n  29 -> 31 [size =\"26465280\"]\n  29 -> 32 [size =\"26465280\"]\n  29 -> 33 [size =\"26465280\"]\n  30 [size=\"174745600\", alpha=\"0.08\", expect_size=\"52423680\"] \n  30 -> 31 [size =\"52423680\"]\n  30 -> 32 [size =\"52423680\"]\n  30 -> 33 [size =\"52423680\"]\n  31 [size=\"171011413\", alpha=\"0.09\", expect_size=\"51303424\"] \n  31 -> 34 [size =\"51303424\"]\n  31 -> 35 [size =\"51303424\"]\n  31 -> 36 [size =\"51303424\"]\n  32 [size=\"120593067\", alpha=\"0.19\", expect_size=\"36177920\"] \n  32 -> 35 [size =\"36177920\"]\n  32 -> 36 [size =\"36177920\"]\n  33 [size=\"92252160\", alpha=\"0.01\", expect_size=\"27675648\"] \n  33 -> 34 [size =\"27675648\"]\n  33 -> 35 [size =\"27675648\"]\n  33 -> 36 [size =\"27675648\"]\n  34 [size=\"121511253\", alpha=\"0.14\", expect_size=\"36453376\"] \n  34 -> 37 [size =\"36453376\"]\n  34 -> 38 [size =\"36453376\"]\n  35 [size=\"42550613\", alpha=\"0.08\", expect_size=\"12765184\"] \n  35 -> 38 [size =\"12765184\"]\n  35 -> 39 [size =\"12765184\"]\n  36 [size=\"139629227\", alpha=\"0.17\", expect_size=\"41888768\"] \n  36 -> 38 [size =\"41888768\"]\n  36 -> 39 [size =\"41888768\"]\n  37 [size=\"141117440\", alpha=\"0.17\", expect_size=\"42335232\"] \n  37 -> 41 [size =\"42335232\"]\n  37 -> 42 [size =\"42335232\"]\n  38 [size=\"56941227\", alpha=\"0.19\", expect_size=\"17082368\"] \n  38 -> 40 [size =\"17082368\"]\n  39 [size=\"96628053\", alpha=\"0.02\", expect_size=\"28988416\"] \n  39 -> 40 [size =\"28988416\"]\n  40 [size=\"93655040\", alpha=\"0.01\", expect_size=\"28096512\"] \n  40 -> 44 [size =\"28096512\"]\n  41 [size=\"159310507\", alpha=\"0.17\", expect_size=\"47793152\"] \n  41 -> 43 [size =\"47793152\"]\n  41 -> 44 [size =\"47793152\"]\n  41 -> 45 [size =\"47793152\"]\n  42 [size=\"71731200\", alpha=\"0.04\", expect_size=\"21519360\"] \n  42 -> 44 [size =\"21519360\"]\n  42 -> 45 [size =\"21519360\"]\n  42 -> 45 [size =\"21519360\"]\n  43 [size=\"63819093\", alpha=\"0.18\", expect_size=\"19145728\"] \n  43 -> 46 [size =\"19145728\"]\n  44 [size=\"69669547\", alpha=\"0.14\", expect_size=\"20900864\"] \n  44 -> 46 [size =\"20900864\"]\n  44 -> 47 [size =\"20900864\"]\n  45 [size=\"20565333\", alpha=\"0.09\", expect_size=\"6169600\"] \n  45 -> 46 [size =\"6169600\"]\n  45 -> 47 [size =\"6169600\"]\n  46 [size=\"84418560\", alpha=\"0.07\", expect_size=\"25325568\"] \n  46 -> 48 [size =\"25325568\"]\n  46 -> 49 [size =\"25325568\"]\n  46 -> 50 [size =\"25325568\"]\n  47 [size=\"64460800\", alpha=\"0.04\", expect_size=\"19338240\"] \n  47 -> 48 [size =\"19338240\"]\n  47 -> 49 [size =\"19338240\"]\n  47 -> 50 [size =\"19338240\"]\n  48 [size=\"42618880\", alpha=\"0.16\", expect_size=\"12785664\"] \n  49 [size=\"34259627\", alpha=\"0.16\", expect_size=\"10277888\"] \n  50 [size=\"46970880\", alpha=\"0.16\", expect_size=\"14091264\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.4.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94849707\", alpha=\"0.02\", expect_size=\"28454912\"] \n  1 -> 39 [size =\"28454912\"]\n  1 -> 47 [size =\"28454912\"]\n  1 -> 49 [size =\"28454912\"]\n  2 [size=\"38389760\", alpha=\"0.20\", expect_size=\"11516928\"] \n  2 -> 39 [size =\"11516928\"]\n  2 -> 40 [size =\"11516928\"]\n  2 -> 42 [size =\"11516928\"]\n  2 -> 45 [size =\"11516928\"]\n  2 -> 47 [size =\"11516928\"]\n  2 -> 49 [size =\"11516928\"]\n  3 [size=\"162273280\", alpha=\"0.14\", expect_size=\"48681984\"] \n  3 -> 39 [size =\"48681984\"]\n  3 -> 40 [size =\"48681984\"]\n  3 -> 42 [size =\"48681984\"]\n  3 -> 47 [size =\"48681984\"]\n  3 -> 49 [size =\"48681984\"]\n  3 -> 49 [size =\"48681984\"]\n  4 [size=\"102512640\", alpha=\"0.15\", expect_size=\"30753792\"] \n  4 -> 40 [size =\"30753792\"]\n  4 -> 42 [size =\"30753792\"]\n  4 -> 49 [size =\"30753792\"]\n  5 [size=\"83070293\", alpha=\"0.18\", expect_size=\"24921088\"] \n  5 -> 39 [size =\"24921088\"]\n  5 -> 40 [size =\"24921088\"]\n  5 -> 42 [size =\"24921088\"]\n  5 -> 44 [size =\"24921088\"]\n  5 -> 45 [size =\"24921088\"]\n  6 [size=\"54336853\", alpha=\"0.19\", expect_size=\"16301056\"] \n  6 -> 39 [size =\"16301056\"]\n  6 -> 40 [size =\"16301056\"]\n  6 -> 42 [size =\"16301056\"]\n  6 -> 45 [size =\"16301056\"]\n  6 -> 45 [size =\"16301056\"]\n  7 [size=\"34614613\", alpha=\"0.15\", expect_size=\"10384384\"] \n  7 -> 39 [size =\"10384384\"]\n  7 -> 40 [size =\"10384384\"]\n  7 -> 42 [size =\"10384384\"]\n  7 -> 44 [size =\"10384384\"]\n  7 -> 45 [size =\"10384384\"]\n  8 [size=\"42827093\", alpha=\"0.03\", expect_size=\"12848128\"] \n  8 -> 43 [size =\"12848128\"]\n  8 -> 44 [size =\"12848128\"]\n  8 -> 45 [size =\"12848128\"]\n  8 -> 47 [size =\"12848128\"]\n  8 -> 49 [size =\"12848128\"]\n  8 -> 50 [size =\"12848128\"]\n  9 [size=\"52988587\", alpha=\"0.19\", expect_size=\"15896576\"] \n  9 -> 44 [size =\"15896576\"]\n  9 -> 45 [size =\"15896576\"]\n  9 -> 49 [size =\"15896576\"]\n  9 -> 50 [size =\"15896576\"]\n  10 [size=\"33870507\", alpha=\"0.15\", expect_size=\"10161152\"] \n  10 -> 39 [size =\"10161152\"]\n  10 -> 40 [size =\"10161152\"]\n  11 [size=\"108926293\", alpha=\"0.16\", expect_size=\"32677888\"] \n  11 -> 39 [size =\"32677888\"]\n  11 -> 40 [size =\"32677888\"]\n  11 -> 42 [size =\"32677888\"]\n  11 -> 43 [size =\"32677888\"]\n  11 -> 47 [size =\"32677888\"]\n  11 -> 50 [size =\"32677888\"]\n  12 [size=\"123081387\", alpha=\"0.16\", expect_size=\"36924416\"] \n  12 -> 42 [size =\"36924416\"]\n  12 -> 45 [size =\"36924416\"]\n  12 -> 50 [size =\"36924416\"]\n  13 [size=\"121750187\", alpha=\"0.03\", expect_size=\"36525056\"] \n  13 -> 40 [size =\"36525056\"]\n  13 -> 42 [size =\"36525056\"]\n  13 -> 50 [size =\"36525056\"]\n  14 [size=\"73591467\", alpha=\"0.04\", expect_size=\"22077440\"] \n  14 -> 40 [size =\"22077440\"]\n  14 -> 42 [size =\"22077440\"]\n  14 -> 44 [size =\"22077440\"]\n  14 -> 45 [size =\"22077440\"]\n  14 -> 46 [size =\"22077440\"]\n  14 -> 47 [size =\"22077440\"]\n  14 -> 49 [size =\"22077440\"]\n  14 -> 50 [size =\"22077440\"]\n  15 [size=\"35867307\", alpha=\"0.05\", expect_size=\"10760192\"] \n  15 -> 39 [size =\"10760192\"]\n  15 -> 40 [size =\"10760192\"]\n  15 -> 42 [size =\"10760192\"]\n  15 -> 44 [size =\"10760192\"]\n  15 -> 45 [size =\"10760192\"]\n  15 -> 50 [size =\"10760192\"]\n  16 [size=\"19483307\", alpha=\"0.02\", expect_size=\"5844992\"] \n  16 -> 40 [size =\"5844992\"]\n  16 -> 42 [size =\"5844992\"]\n  16 -> 42 [size =\"5844992\"]\n  16 -> 44 [size =\"5844992\"]\n  16 -> 46 [size =\"5844992\"]\n  16 -> 47 [size =\"5844992\"]\n  16 -> 49 [size =\"5844992\"]\n  16 -> 50 [size =\"5844992\"]\n  17 [size=\"168478720\", alpha=\"0.14\", expect_size=\"50543616\"] \n  17 -> 40 [size =\"50543616\"]\n  17 -> 42 [size =\"50543616\"]\n  17 -> 44 [size =\"50543616\"]\n  17 -> 44 [size =\"50543616\"]\n  17 -> 45 [size =\"50543616\"]\n  17 -> 49 [size =\"50543616\"]\n  17 -> 50 [size =\"50543616\"]\n  17 -> 50 [size =\"50543616\"]\n  18 [size=\"127238827\", alpha=\"0.05\", expect_size=\"38171648\"] \n  18 -> 40 [size =\"38171648\"]\n  18 -> 42 [size =\"38171648\"]\n  18 -> 44 [size =\"38171648\"]\n  18 -> 50 [size =\"38171648\"]\n  19 [size=\"154047147\", alpha=\"0.00\", expect_size=\"46214144\"] \n  19 -> 40 [size =\"46214144\"]\n  19 -> 42 [size =\"46214144\"]\n  19 -> 44 [size =\"46214144\"]\n  19 -> 45 [size =\"46214144\"]\n  19 -> 46 [size =\"46214144\"]\n  19 -> 50 [size =\"46214144\"]\n  20 [size=\"148302507\", alpha=\"0.08\", expect_size=\"44490752\"] \n  20 -> 40 [size =\"44490752\"]\n  20 -> 42 [size =\"44490752\"]\n  20 -> 44 [size =\"44490752\"]\n  20 -> 45 [size =\"44490752\"]\n  20 -> 50 [size =\"44490752\"]\n  20 -> 50 [size =\"44490752\"]\n  21 [size=\"107223040\", alpha=\"0.05\", expect_size=\"32166912\"] \n  21 -> 40 [size =\"32166912\"]\n  21 -> 42 [size =\"32166912\"]\n  21 -> 44 [size =\"32166912\"]\n  21 -> 46 [size =\"32166912\"]\n  21 -> 50 [size =\"32166912\"]\n  22 [size=\"75376640\", alpha=\"0.05\", expect_size=\"22612992\"] \n  22 -> 42 [size =\"22612992\"]\n  22 -> 42 [size =\"22612992\"]\n  22 -> 45 [size =\"22612992\"]\n  22 -> 47 [size =\"22612992\"]\n  22 -> 50 [size =\"22612992\"]\n  23 [size=\"46530560\", alpha=\"0.03\", expect_size=\"13959168\"] \n  23 -> 39 [size =\"13959168\"]\n  23 -> 42 [size =\"13959168\"]\n  23 -> 44 [size =\"13959168\"]\n  23 -> 45 [size =\"13959168\"]\n  23 -> 47 [size =\"13959168\"]\n  24 [size=\"71540053\", alpha=\"0.12\", expect_size=\"21462016\"] \n  24 -> 39 [size =\"21462016\"]\n  24 -> 40 [size =\"21462016\"]\n  24 -> 41 [size =\"21462016\"]\n  24 -> 42 [size =\"21462016\"]\n  24 -> 44 [size =\"21462016\"]\n  24 -> 45 [size =\"21462016\"]\n  24 -> 46 [size =\"21462016\"]\n  24 -> 47 [size =\"21462016\"]\n  24 -> 50 [size =\"21462016\"]\n  25 [size=\"99304107\", alpha=\"0.10\", expect_size=\"29791232\"] \n  25 -> 40 [size =\"29791232\"]\n  25 -> 44 [size =\"29791232\"]\n  25 -> 46 [size =\"29791232\"]\n  25 -> 47 [size =\"29791232\"]\n  25 -> 49 [size =\"29791232\"]\n  26 [size=\"141445120\", alpha=\"0.12\", expect_size=\"42433536\"] \n  26 -> 39 [size =\"42433536\"]\n  26 -> 42 [size =\"42433536\"]\n  26 -> 43 [size =\"42433536\"]\n  26 -> 44 [size =\"42433536\"]\n  26 -> 45 [size =\"42433536\"]\n  26 -> 47 [size =\"42433536\"]\n  27 [size=\"160419840\", alpha=\"0.16\", expect_size=\"48125952\"] \n  27 -> 39 [size =\"48125952\"]\n  27 -> 42 [size =\"48125952\"]\n  27 -> 44 [size =\"48125952\"]\n  27 -> 45 [size =\"48125952\"]\n  27 -> 45 [size =\"48125952\"]\n  27 -> 48 [size =\"48125952\"]\n  27 -> 49 [size =\"48125952\"]\n  28 [size=\"114626560\", alpha=\"0.03\", expect_size=\"34387968\"] \n  28 -> 39 [size =\"34387968\"]\n  28 -> 40 [size =\"34387968\"]\n  28 -> 45 [size =\"34387968\"]\n  29 [size=\"150405120\", alpha=\"0.15\", expect_size=\"45121536\"] \n  29 -> 39 [size =\"45121536\"]\n  29 -> 41 [size =\"45121536\"]\n  29 -> 42 [size =\"45121536\"]\n  29 -> 44 [size =\"45121536\"]\n  29 -> 45 [size =\"45121536\"]\n  29 -> 47 [size =\"45121536\"]\n  29 -> 50 [size =\"45121536\"]\n  30 [size=\"152323413\", alpha=\"0.10\", expect_size=\"45697024\"] \n  30 -> 40 [size =\"45697024\"]\n  30 -> 42 [size =\"45697024\"]\n  30 -> 42 [size =\"45697024\"]\n  30 -> 44 [size =\"45697024\"]\n  30 -> 45 [size =\"45697024\"]\n  30 -> 50 [size =\"45697024\"]\n  31 [size=\"54923947\", alpha=\"0.15\", expect_size=\"16477184\"] \n  31 -> 39 [size =\"16477184\"]\n  31 -> 40 [size =\"16477184\"]\n  31 -> 45 [size =\"16477184\"]\n  31 -> 46 [size =\"16477184\"]\n  31 -> 49 [size =\"16477184\"]\n  31 -> 50 [size =\"16477184\"]\n  32 [size=\"92866560\", alpha=\"0.15\", expect_size=\"27859968\"] \n  32 -> 39 [size =\"27859968\"]\n  32 -> 46 [size =\"27859968\"]\n  32 -> 47 [size =\"27859968\"]\n  32 -> 50 [size =\"27859968\"]\n  33 [size=\"129778347\", alpha=\"0.07\", expect_size=\"38933504\"] \n  33 -> 39 [size =\"38933504\"]\n  33 -> 40 [size =\"38933504\"]\n  33 -> 45 [size =\"38933504\"]\n  33 -> 49 [size =\"38933504\"]\n  33 -> 50 [size =\"38933504\"]\n  34 [size=\"153176747\", alpha=\"0.07\", expect_size=\"45953024\"] \n  34 -> 43 [size =\"45953024\"]\n  34 -> 44 [size =\"45953024\"]\n  34 -> 45 [size =\"45953024\"]\n  34 -> 49 [size =\"45953024\"]\n  35 [size=\"90811733\", alpha=\"0.09\", expect_size=\"27243520\"] \n  35 -> 42 [size =\"27243520\"]\n  35 -> 44 [size =\"27243520\"]\n  35 -> 45 [size =\"27243520\"]\n  35 -> 46 [size =\"27243520\"]\n  35 -> 50 [size =\"27243520\"]\n  36 [size=\"165563733\", alpha=\"0.11\", expect_size=\"49669120\"] \n  36 -> 40 [size =\"49669120\"]\n  36 -> 42 [size =\"49669120\"]\n  36 -> 44 [size =\"49669120\"]\n  36 -> 46 [size =\"49669120\"]\n  36 -> 50 [size =\"49669120\"]\n  37 [size=\"99727360\", alpha=\"0.12\", expect_size=\"29918208\"] \n  37 -> 42 [size =\"29918208\"]\n  37 -> 42 [size =\"29918208\"]\n  37 -> 44 [size =\"29918208\"]\n  37 -> 47 [size =\"29918208\"]\n  38 [size=\"67723947\", alpha=\"0.07\", expect_size=\"20317184\"] \n  38 -> 42 [size =\"20317184\"]\n  38 -> 44 [size =\"20317184\"]\n  38 -> 45 [size =\"20317184\"]\n  38 -> 47 [size =\"20317184\"]\n  38 -> 49 [size =\"20317184\"]\n  38 -> 50 [size =\"20317184\"]\n  39 [size=\"94911147\", alpha=\"0.00\", expect_size=\"28473344\"] \n  40 [size=\"59511467\", alpha=\"0.09\", expect_size=\"17853440\"] \n  41 [size=\"135212373\", alpha=\"0.10\", expect_size=\"40563712\"] \n  42 [size=\"98887680\", alpha=\"0.18\", expect_size=\"29666304\"] \n  43 [size=\"56149333\", alpha=\"0.10\", expect_size=\"16844800\"] \n  44 [size=\"111267840\", alpha=\"0.09\", expect_size=\"33380352\"] \n  45 [size=\"163078827\", alpha=\"0.18\", expect_size=\"48923648\"] \n  46 [size=\"72680107\", alpha=\"0.03\", expect_size=\"21804032\"] \n  47 [size=\"156661760\", alpha=\"0.06\", expect_size=\"46998528\"] \n  48 [size=\"94163627\", alpha=\"0.01\", expect_size=\"28249088\"] \n  49 [size=\"152234667\", alpha=\"0.13\", expect_size=\"45670400\"] \n  50 [size=\"152876373\", alpha=\"0.03\", expect_size=\"45862912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.40.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87877632\", alpha=\"0.17\", expect_size=\"43938816\"] \n  1 -> 2 [size =\"43938816\"]\n  1 -> 3 [size =\"43938816\"]\n  1 -> 4 [size =\"43938816\"]\n  2 [size=\"46657536\", alpha=\"0.14\", expect_size=\"23328768\"] \n  2 -> 5 [size =\"23328768\"]\n  3 [size=\"88883200\", alpha=\"0.03\", expect_size=\"44441600\"] \n  3 -> 5 [size =\"44441600\"]\n  4 [size=\"76808192\", alpha=\"0.04\", expect_size=\"38404096\"] \n  4 -> 6 [size =\"38404096\"]\n  5 [size=\"50268160\", alpha=\"0.17\", expect_size=\"25134080\"] \n  5 -> 8 [size =\"25134080\"]\n  5 -> 9 [size =\"25134080\"]\n  6 [size=\"82393088\", alpha=\"0.07\", expect_size=\"41196544\"] \n  6 -> 7 [size =\"41196544\"]\n  7 [size=\"57280512\", alpha=\"0.16\", expect_size=\"28640256\"] \n  7 -> 11 [size =\"28640256\"]\n  8 [size=\"45635584\", alpha=\"0.04\", expect_size=\"22817792\"] \n  8 -> 11 [size =\"22817792\"]\n  9 [size=\"91860992\", alpha=\"0.18\", expect_size=\"45930496\"] \n  9 -> 10 [size =\"45930496\"]\n  10 [size=\"89507840\", alpha=\"0.13\", expect_size=\"44753920\"] \n  10 -> 12 [size =\"44753920\"]\n  11 [size=\"52281344\", alpha=\"0.03\", expect_size=\"26140672\"] \n  11 -> 13 [size =\"26140672\"]\n  11 -> 14 [size =\"26140672\"]\n  12 [size=\"38023168\", alpha=\"0.15\", expect_size=\"19011584\"] \n  12 -> 15 [size =\"19011584\"]\n  13 [size=\"103325696\", alpha=\"0.02\", expect_size=\"51662848\"] \n  13 -> 16 [size =\"51662848\"]\n  13 -> 17 [size =\"51662848\"]\n  14 [size=\"22171648\", alpha=\"0.07\", expect_size=\"11085824\"] \n  14 -> 15 [size =\"11085824\"]\n  15 [size=\"42952704\", alpha=\"0.17\", expect_size=\"21476352\"] \n  15 -> 18 [size =\"21476352\"]\n  16 [size=\"26757120\", alpha=\"0.18\", expect_size=\"13378560\"] \n  17 [size=\"59117568\", alpha=\"0.08\", expect_size=\"29558784\"] \n  17 -> 18 [size =\"29558784\"]\n  17 -> 19 [size =\"29558784\"]\n  17 -> 20 [size =\"29558784\"]\n  18 [size=\"38735872\", alpha=\"0.11\", expect_size=\"19367936\"] \n  18 -> 21 [size =\"19367936\"]\n  19 [size=\"57493504\", alpha=\"0.01\", expect_size=\"28746752\"] \n  19 -> 22 [size =\"28746752\"]\n  20 [size=\"46888960\", alpha=\"0.16\", expect_size=\"23444480\"] \n  20 -> 22 [size =\"23444480\"]\n  21 [size=\"14759936\", alpha=\"0.07\", expect_size=\"7379968\"] \n  21 -> 23 [size =\"7379968\"]\n  21 -> 24 [size =\"7379968\"]\n  22 [size=\"30167040\", alpha=\"0.06\", expect_size=\"15083520\"] \n  23 [size=\"98768896\", alpha=\"0.02\", expect_size=\"49384448\"] \n  23 -> 25 [size =\"49384448\"]\n  23 -> 26 [size =\"49384448\"]\n  23 -> 28 [size =\"49384448\"]\n  24 [size=\"14254080\", alpha=\"0.11\", expect_size=\"7127040\"] \n  24 -> 27 [size =\"7127040\"]\n  25 [size=\"46850048\", alpha=\"0.09\", expect_size=\"23425024\"] \n  26 [size=\"34459648\", alpha=\"0.02\", expect_size=\"17229824\"] \n  27 [size=\"27287552\", alpha=\"0.06\", expect_size=\"13643776\"] \n  27 -> 31 [size =\"13643776\"]\n  28 [size=\"64569344\", alpha=\"0.16\", expect_size=\"32284672\"] \n  28 -> 29 [size =\"32284672\"]\n  28 -> 30 [size =\"32284672\"]\n  29 [size=\"23371776\", alpha=\"0.04\", expect_size=\"11685888\"] \n  29 -> 32 [size =\"11685888\"]\n  29 -> 33 [size =\"11685888\"]\n  30 [size=\"27596800\", alpha=\"0.09\", expect_size=\"13798400\"] \n  30 -> 32 [size =\"13798400\"]\n  31 [size=\"102006784\", alpha=\"0.02\", expect_size=\"51003392\"] \n  32 [size=\"40873984\", alpha=\"0.02\", expect_size=\"20436992\"] \n  33 [size=\"69117952\", alpha=\"0.01\", expect_size=\"34558976\"] \n  33 -> 34 [size =\"34558976\"]\n  33 -> 35 [size =\"34558976\"]\n  34 [size=\"76390400\", alpha=\"0.02\", expect_size=\"38195200\"] \n  35 [size=\"34643968\", alpha=\"0.11\", expect_size=\"17321984\"] \n  35 -> 36 [size =\"17321984\"]\n  35 -> 37 [size =\"17321984\"]\n  36 [size=\"78034944\", alpha=\"0.02\", expect_size=\"39017472\"] \n  36 -> 38 [size =\"39017472\"]\n  36 -> 39 [size =\"39017472\"]\n  37 [size=\"89724928\", alpha=\"0.05\", expect_size=\"44862464\"] \n  37 -> 40 [size =\"44862464\"]\n  38 [size=\"22138880\", alpha=\"0.13\", expect_size=\"11069440\"] \n  38 -> 43 [size =\"11069440\"]\n  39 [size=\"99170304\", alpha=\"0.11\", expect_size=\"49585152\"] \n  40 [size=\"24707072\", alpha=\"0.16\", expect_size=\"12353536\"] \n  40 -> 41 [size =\"12353536\"]\n  40 -> 42 [size =\"12353536\"]\n  40 -> 44 [size =\"12353536\"]\n  41 [size=\"66519040\", alpha=\"0.03\", expect_size=\"33259520\"] \n  42 [size=\"77656064\", alpha=\"0.14\", expect_size=\"38828032\"] \n  43 [size=\"85659648\", alpha=\"0.04\", expect_size=\"42829824\"] \n  44 [size=\"88997888\", alpha=\"0.14\", expect_size=\"44498944\"] \n  44 -> 45 [size =\"44498944\"]\n  44 -> 46 [size =\"44498944\"]\n  45 [size=\"99356672\", alpha=\"0.12\", expect_size=\"49678336\"] \n  45 -> 47 [size =\"49678336\"]\n  45 -> 49 [size =\"49678336\"]\n  46 [size=\"54835200\", alpha=\"0.15\", expect_size=\"27417600\"] \n  46 -> 48 [size =\"27417600\"]\n  47 [size=\"66076672\", alpha=\"0.02\", expect_size=\"33038336\"] \n  48 [size=\"87341056\", alpha=\"0.00\", expect_size=\"43670528\"] \n  48 -> 50 [size =\"43670528\"]\n  49 [size=\"52508672\", alpha=\"0.01\", expect_size=\"26254336\"] \n  50 [size=\"102959104\", alpha=\"0.06\", expect_size=\"51479552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.41.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"93843456\", alpha=\"0.14\", expect_size=\"46921728\"] \n  1 -> 39 [size =\"46921728\"]\n  1 -> 43 [size =\"46921728\"]\n  1 -> 47 [size =\"46921728\"]\n  1 -> 47 [size =\"46921728\"]\n  2 [size=\"54700032\", alpha=\"0.16\", expect_size=\"27350016\"] \n  2 -> 41 [size =\"27350016\"]\n  2 -> 43 [size =\"27350016\"]\n  2 -> 47 [size =\"27350016\"]\n  2 -> 49 [size =\"27350016\"]\n  3 [size=\"59635712\", alpha=\"0.08\", expect_size=\"29817856\"] \n  3 -> 40 [size =\"29817856\"]\n  3 -> 41 [size =\"29817856\"]\n  3 -> 42 [size =\"29817856\"]\n  3 -> 46 [size =\"29817856\"]\n  3 -> 49 [size =\"29817856\"]\n  4 [size=\"59006976\", alpha=\"0.12\", expect_size=\"29503488\"] \n  4 -> 39 [size =\"29503488\"]\n  4 -> 43 [size =\"29503488\"]\n  4 -> 49 [size =\"29503488\"]\n  5 [size=\"84854784\", alpha=\"0.17\", expect_size=\"42427392\"] \n  5 -> 39 [size =\"42427392\"]\n  5 -> 40 [size =\"42427392\"]\n  5 -> 42 [size =\"42427392\"]\n  5 -> 43 [size =\"42427392\"]\n  5 -> 46 [size =\"42427392\"]\n  5 -> 48 [size =\"42427392\"]\n  5 -> 49 [size =\"42427392\"]\n  6 [size=\"84221952\", alpha=\"0.08\", expect_size=\"42110976\"] \n  6 -> 48 [size =\"42110976\"]\n  6 -> 50 [size =\"42110976\"]\n  7 [size=\"100478976\", alpha=\"0.15\", expect_size=\"50239488\"] \n  7 -> 48 [size =\"50239488\"]\n  7 -> 49 [size =\"50239488\"]\n  8 [size=\"68278272\", alpha=\"0.13\", expect_size=\"34139136\"] \n  8 -> 41 [size =\"34139136\"]\n  8 -> 42 [size =\"34139136\"]\n  8 -> 48 [size =\"34139136\"]\n  9 [size=\"32638976\", alpha=\"0.06\", expect_size=\"16319488\"] \n  9 -> 41 [size =\"16319488\"]\n  9 -> 43 [size =\"16319488\"]\n  9 -> 46 [size =\"16319488\"]\n  9 -> 49 [size =\"16319488\"]\n  9 -> 50 [size =\"16319488\"]\n  10 [size=\"87126016\", alpha=\"0.02\", expect_size=\"43563008\"] \n  10 -> 41 [size =\"43563008\"]\n  10 -> 42 [size =\"43563008\"]\n  10 -> 43 [size =\"43563008\"]\n  11 [size=\"91043840\", alpha=\"0.17\", expect_size=\"45521920\"] \n  11 -> 39 [size =\"45521920\"]\n  11 -> 41 [size =\"45521920\"]\n  11 -> 43 [size =\"45521920\"]\n  11 -> 46 [size =\"45521920\"]\n  12 [size=\"63143936\", alpha=\"0.11\", expect_size=\"31571968\"] \n  12 -> 39 [size =\"31571968\"]\n  12 -> 40 [size =\"31571968\"]\n  12 -> 47 [size =\"31571968\"]\n  13 [size=\"46059520\", alpha=\"0.14\", expect_size=\"23029760\"] \n  13 -> 41 [size =\"23029760\"]\n  13 -> 47 [size =\"23029760\"]\n  13 -> 47 [size =\"23029760\"]\n  13 -> 50 [size =\"23029760\"]\n  14 [size=\"82821120\", alpha=\"0.08\", expect_size=\"41410560\"] \n  14 -> 41 [size =\"41410560\"]\n  14 -> 43 [size =\"41410560\"]\n  14 -> 46 [size =\"41410560\"]\n  14 -> 47 [size =\"41410560\"]\n  14 -> 48 [size =\"41410560\"]\n  15 [size=\"43759616\", alpha=\"0.10\", expect_size=\"21879808\"] \n  15 -> 41 [size =\"21879808\"]\n  15 -> 43 [size =\"21879808\"]\n  15 -> 45 [size =\"21879808\"]\n  15 -> 46 [size =\"21879808\"]\n  15 -> 47 [size =\"21879808\"]\n  16 [size=\"27666432\", alpha=\"0.13\", expect_size=\"13833216\"] \n  16 -> 41 [size =\"13833216\"]\n  16 -> 43 [size =\"13833216\"]\n  16 -> 47 [size =\"13833216\"]\n  17 [size=\"67164160\", alpha=\"0.05\", expect_size=\"33582080\"] \n  17 -> 47 [size =\"33582080\"]\n  17 -> 48 [size =\"33582080\"]\n  18 [size=\"42778624\", alpha=\"0.05\", expect_size=\"21389312\"] \n  18 -> 39 [size =\"21389312\"]\n  18 -> 43 [size =\"21389312\"]\n  18 -> 44 [size =\"21389312\"]\n  18 -> 46 [size =\"21389312\"]\n  18 -> 47 [size =\"21389312\"]\n  18 -> 48 [size =\"21389312\"]\n  19 [size=\"102694912\", alpha=\"0.20\", expect_size=\"51347456\"] \n  19 -> 42 [size =\"51347456\"]\n  19 -> 47 [size =\"51347456\"]\n  19 -> 49 [size =\"51347456\"]\n  19 -> 50 [size =\"51347456\"]\n  20 [size=\"37206016\", alpha=\"0.19\", expect_size=\"18603008\"] \n  20 -> 40 [size =\"18603008\"]\n  20 -> 41 [size =\"18603008\"]\n  20 -> 46 [size =\"18603008\"]\n  20 -> 47 [size =\"18603008\"]\n  20 -> 50 [size =\"18603008\"]\n  21 [size=\"46534656\", alpha=\"0.15\", expect_size=\"23267328\"] \n  21 -> 39 [size =\"23267328\"]\n  21 -> 41 [size =\"23267328\"]\n  21 -> 46 [size =\"23267328\"]\n  21 -> 48 [size =\"23267328\"]\n  21 -> 50 [size =\"23267328\"]\n  22 [size=\"31649792\", alpha=\"0.01\", expect_size=\"15824896\"] \n  22 -> 39 [size =\"15824896\"]\n  22 -> 41 [size =\"15824896\"]\n  22 -> 42 [size =\"15824896\"]\n  22 -> 44 [size =\"15824896\"]\n  22 -> 46 [size =\"15824896\"]\n  22 -> 47 [size =\"15824896\"]\n  22 -> 49 [size =\"15824896\"]\n  23 [size=\"85710848\", alpha=\"0.18\", expect_size=\"42855424\"] \n  23 -> 39 [size =\"42855424\"]\n  23 -> 41 [size =\"42855424\"]\n  23 -> 48 [size =\"42855424\"]\n  24 [size=\"55152640\", alpha=\"0.04\", expect_size=\"27576320\"] \n  24 -> 39 [size =\"27576320\"]\n  24 -> 43 [size =\"27576320\"]\n  24 -> 46 [size =\"27576320\"]\n  24 -> 47 [size =\"27576320\"]\n  24 -> 49 [size =\"27576320\"]\n  25 [size=\"91482112\", alpha=\"0.07\", expect_size=\"45741056\"] \n  25 -> 39 [size =\"45741056\"]\n  25 -> 43 [size =\"45741056\"]\n  25 -> 48 [size =\"45741056\"]\n  26 [size=\"42682368\", alpha=\"0.05\", expect_size=\"21341184\"] \n  26 -> 39 [size =\"21341184\"]\n  26 -> 43 [size =\"21341184\"]\n  26 -> 50 [size =\"21341184\"]\n  27 [size=\"102060032\", alpha=\"0.02\", expect_size=\"51030016\"] \n  27 -> 41 [size =\"51030016\"]\n  27 -> 43 [size =\"51030016\"]\n  27 -> 49 [size =\"51030016\"]\n  28 [size=\"29118464\", alpha=\"0.12\", expect_size=\"14559232\"] \n  28 -> 42 [size =\"14559232\"]\n  28 -> 43 [size =\"14559232\"]\n  28 -> 46 [size =\"14559232\"]\n  28 -> 47 [size =\"14559232\"]\n  28 -> 48 [size =\"14559232\"]\n  29 [size=\"51109888\", alpha=\"0.06\", expect_size=\"25554944\"] \n  29 -> 41 [size =\"25554944\"]\n  29 -> 43 [size =\"25554944\"]\n  29 -> 46 [size =\"25554944\"]\n  30 [size=\"49369088\", alpha=\"0.16\", expect_size=\"24684544\"] \n  30 -> 43 [size =\"24684544\"]\n  30 -> 43 [size =\"24684544\"]\n  30 -> 46 [size =\"24684544\"]\n  30 -> 49 [size =\"24684544\"]\n  30 -> 50 [size =\"24684544\"]\n  31 [size=\"42846208\", alpha=\"0.04\", expect_size=\"21423104\"] \n  31 -> 41 [size =\"21423104\"]\n  31 -> 43 [size =\"21423104\"]\n  31 -> 46 [size =\"21423104\"]\n  31 -> 47 [size =\"21423104\"]\n  32 [size=\"20529152\", alpha=\"0.02\", expect_size=\"10264576\"] \n  32 -> 41 [size =\"10264576\"]\n  32 -> 43 [size =\"10264576\"]\n  32 -> 46 [size =\"10264576\"]\n  32 -> 50 [size =\"10264576\"]\n  33 [size=\"26634240\", alpha=\"0.08\", expect_size=\"13317120\"] \n  33 -> 43 [size =\"13317120\"]\n  33 -> 47 [size =\"13317120\"]\n  34 [size=\"15939584\", alpha=\"0.10\", expect_size=\"7969792\"] \n  34 -> 39 [size =\"7969792\"]\n  34 -> 40 [size =\"7969792\"]\n  34 -> 41 [size =\"7969792\"]\n  34 -> 42 [size =\"7969792\"]\n  34 -> 43 [size =\"7969792\"]\n  34 -> 47 [size =\"7969792\"]\n  34 -> 49 [size =\"7969792\"]\n  35 [size=\"36968448\", alpha=\"0.18\", expect_size=\"18484224\"] \n  35 -> 40 [size =\"18484224\"]\n  35 -> 41 [size =\"18484224\"]\n  35 -> 47 [size =\"18484224\"]\n  35 -> 49 [size =\"18484224\"]\n  35 -> 50 [size =\"18484224\"]\n  36 [size=\"69715968\", alpha=\"0.10\", expect_size=\"34857984\"] \n  36 -> 40 [size =\"34857984\"]\n  36 -> 46 [size =\"34857984\"]\n  36 -> 47 [size =\"34857984\"]\n  37 [size=\"93548544\", alpha=\"0.15\", expect_size=\"46774272\"] \n  37 -> 40 [size =\"46774272\"]\n  37 -> 43 [size =\"46774272\"]\n  37 -> 45 [size =\"46774272\"]\n  37 -> 47 [size =\"46774272\"]\n  38 [size=\"104089600\", alpha=\"0.06\", expect_size=\"52044800\"] \n  38 -> 40 [size =\"52044800\"]\n  38 -> 43 [size =\"52044800\"]\n  38 -> 46 [size =\"52044800\"]\n  38 -> 47 [size =\"52044800\"]\n  38 -> 48 [size =\"52044800\"]\n  39 [size=\"64757760\", alpha=\"0.16\", expect_size=\"32378880\"] \n  40 [size=\"92080128\", alpha=\"0.12\", expect_size=\"46040064\"] \n  41 [size=\"73955328\", alpha=\"0.16\", expect_size=\"36977664\"] \n  42 [size=\"90941440\", alpha=\"0.05\", expect_size=\"45470720\"] \n  43 [size=\"101322752\", alpha=\"0.09\", expect_size=\"50661376\"] \n  44 [size=\"46305280\", alpha=\"0.03\", expect_size=\"23152640\"] \n  45 [size=\"92596224\", alpha=\"0.14\", expect_size=\"46298112\"] \n  46 [size=\"84725760\", alpha=\"0.11\", expect_size=\"42362880\"] \n  47 [size=\"39876608\", alpha=\"0.09\", expect_size=\"19938304\"] \n  48 [size=\"14727168\", alpha=\"0.10\", expect_size=\"7363584\"] \n  49 [size=\"41574400\", alpha=\"0.19\", expect_size=\"20787200\"] \n  50 [size=\"23881728\", alpha=\"0.17\", expect_size=\"11940864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.42.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"21872640\", alpha=\"0.19\", expect_size=\"8749056\"] \n  1 -> 8 [size =\"8749056\"]\n  1 -> 11 [size =\"8749056\"]\n  1 -> 12 [size =\"8749056\"]\n  1 -> 14 [size =\"8749056\"]\n  1 -> 19 [size =\"8749056\"]\n  1 -> 20 [size =\"8749056\"]\n  1 -> 22 [size =\"8749056\"]\n  1 -> 23 [size =\"8749056\"]\n  1 -> 25 [size =\"8749056\"]\n  2 [size=\"120601600\", alpha=\"0.06\", expect_size=\"48240640\"] \n  2 -> 8 [size =\"48240640\"]\n  2 -> 9 [size =\"48240640\"]\n  2 -> 10 [size =\"48240640\"]\n  2 -> 11 [size =\"48240640\"]\n  2 -> 12 [size =\"48240640\"]\n  2 -> 14 [size =\"48240640\"]\n  2 -> 15 [size =\"48240640\"]\n  2 -> 22 [size =\"48240640\"]\n  2 -> 25 [size =\"48240640\"]\n  2 -> 26 [size =\"48240640\"]\n  3 [size=\"61601280\", alpha=\"0.00\", expect_size=\"24640512\"] \n  3 -> 12 [size =\"24640512\"]\n  3 -> 13 [size =\"24640512\"]\n  3 -> 17 [size =\"24640512\"]\n  3 -> 18 [size =\"24640512\"]\n  3 -> 19 [size =\"24640512\"]\n  3 -> 22 [size =\"24640512\"]\n  3 -> 23 [size =\"24640512\"]\n  3 -> 26 [size =\"24640512\"]\n  4 [size=\"94835200\", alpha=\"0.10\", expect_size=\"37934080\"] \n  4 -> 13 [size =\"37934080\"]\n  4 -> 15 [size =\"37934080\"]\n  4 -> 16 [size =\"37934080\"]\n  4 -> 17 [size =\"37934080\"]\n  4 -> 19 [size =\"37934080\"]\n  4 -> 23 [size =\"37934080\"]\n  4 -> 24 [size =\"37934080\"]\n  4 -> 26 [size =\"37934080\"]\n  5 [size=\"36290560\", alpha=\"0.11\", expect_size=\"14516224\"] \n  5 -> 13 [size =\"14516224\"]\n  5 -> 21 [size =\"14516224\"]\n  5 -> 24 [size =\"14516224\"]\n  6 [size=\"42237440\", alpha=\"0.14\", expect_size=\"16894976\"] \n  6 -> 14 [size =\"16894976\"]\n  6 -> 22 [size =\"16894976\"]\n  6 -> 24 [size =\"16894976\"]\n  7 [size=\"90145280\", alpha=\"0.20\", expect_size=\"36058112\"] \n  7 -> 10 [size =\"36058112\"]\n  7 -> 11 [size =\"36058112\"]\n  7 -> 13 [size =\"36058112\"]\n  7 -> 14 [size =\"36058112\"]\n  7 -> 27 [size =\"36058112\"]\n  8 [size=\"24990720\", alpha=\"0.13\", expect_size=\"9996288\"] \n  8 -> 29 [size =\"9996288\"]\n  8 -> 34 [size =\"9996288\"]\n  8 -> 35 [size =\"9996288\"]\n  9 [size=\"13117440\", alpha=\"0.04\", expect_size=\"5246976\"] \n  9 -> 33 [size =\"5246976\"]\n  9 -> 36 [size =\"5246976\"]\n  10 [size=\"14497280\", alpha=\"0.14\", expect_size=\"5798912\"] \n  11 [size=\"60070400\", alpha=\"0.02\", expect_size=\"24028160\"] \n  11 -> 37 [size =\"24028160\"]\n  12 [size=\"54876160\", alpha=\"0.15\", expect_size=\"21950464\"] \n  12 -> 35 [size =\"21950464\"]\n  12 -> 37 [size =\"21950464\"]\n  12 -> 41 [size =\"21950464\"]\n  13 [size=\"87531520\", alpha=\"0.02\", expect_size=\"35012608\"] \n  13 -> 37 [size =\"35012608\"]\n  13 -> 39 [size =\"35012608\"]\n  14 [size=\"89482240\", alpha=\"0.07\", expect_size=\"35792896\"] \n  14 -> 34 [size =\"35792896\"]\n  14 -> 41 [size =\"35792896\"]\n  15 [size=\"33277440\", alpha=\"0.04\", expect_size=\"13310976\"] \n  15 -> 31 [size =\"13310976\"]\n  15 -> 32 [size =\"13310976\"]\n  15 -> 33 [size =\"13310976\"]\n  15 -> 39 [size =\"13310976\"]\n  16 [size=\"97041920\", alpha=\"0.06\", expect_size=\"38816768\"] \n  16 -> 33 [size =\"38816768\"]\n  16 -> 37 [size =\"38816768\"]\n  17 [size=\"63536640\", alpha=\"0.03\", expect_size=\"25414656\"] \n  17 -> 31 [size =\"25414656\"]\n  17 -> 38 [size =\"25414656\"]\n  17 -> 41 [size =\"25414656\"]\n  18 [size=\"60797440\", alpha=\"0.06\", expect_size=\"24318976\"] \n  18 -> 28 [size =\"24318976\"]\n  18 -> 34 [size =\"24318976\"]\n  19 [size=\"19932160\", alpha=\"0.15\", expect_size=\"7972864\"] \n  19 -> 33 [size =\"7972864\"]\n  19 -> 34 [size =\"7972864\"]\n  19 -> 37 [size =\"7972864\"]\n  19 -> 41 [size =\"7972864\"]\n  20 [size=\"43315200\", alpha=\"0.02\", expect_size=\"17326080\"] \n  20 -> 28 [size =\"17326080\"]\n  20 -> 33 [size =\"17326080\"]\n  20 -> 34 [size =\"17326080\"]\n  20 -> 37 [size =\"17326080\"]\n  20 -> 38 [size =\"17326080\"]\n  21 [size=\"124710400\", alpha=\"0.10\", expect_size=\"49884160\"] \n  21 -> 33 [size =\"49884160\"]\n  22 [size=\"19000320\", alpha=\"0.16\", expect_size=\"7600128\"] \n  22 -> 34 [size =\"7600128\"]\n  22 -> 37 [size =\"7600128\"]\n  23 [size=\"106288640\", alpha=\"0.10\", expect_size=\"42515456\"] \n  23 -> 28 [size =\"42515456\"]\n  23 -> 34 [size =\"42515456\"]\n  24 [size=\"116065280\", alpha=\"0.18\", expect_size=\"46426112\"] \n  24 -> 30 [size =\"46426112\"]\n  24 -> 33 [size =\"46426112\"]\n  24 -> 37 [size =\"46426112\"]\n  24 -> 38 [size =\"46426112\"]\n  25 [size=\"40547840\", alpha=\"0.10\", expect_size=\"16219136\"] \n  25 -> 28 [size =\"16219136\"]\n  25 -> 30 [size =\"16219136\"]\n  25 -> 34 [size =\"16219136\"]\n  25 -> 37 [size =\"16219136\"]\n  26 [size=\"61345280\", alpha=\"0.07\", expect_size=\"24538112\"] \n  26 -> 33 [size =\"24538112\"]\n  26 -> 34 [size =\"24538112\"]\n  26 -> 35 [size =\"24538112\"]\n  26 -> 37 [size =\"24538112\"]\n  27 [size=\"94630400\", alpha=\"0.17\", expect_size=\"37852160\"] \n  27 -> 28 [size =\"37852160\"]\n  27 -> 30 [size =\"37852160\"]\n  27 -> 34 [size =\"37852160\"]\n  27 -> 35 [size =\"37852160\"]\n  27 -> 40 [size =\"37852160\"]\n  28 [size=\"111787520\", alpha=\"0.10\", expect_size=\"44715008\"] \n  28 -> 43 [size =\"44715008\"]\n  28 -> 44 [size =\"44715008\"]\n  28 -> 46 [size =\"44715008\"]\n  28 -> 48 [size =\"44715008\"]\n  29 [size=\"30341120\", alpha=\"0.02\", expect_size=\"12136448\"] \n  29 -> 43 [size =\"12136448\"]\n  29 -> 44 [size =\"12136448\"]\n  29 -> 45 [size =\"12136448\"]\n  29 -> 46 [size =\"12136448\"]\n  29 -> 48 [size =\"12136448\"]\n  29 -> 49 [size =\"12136448\"]\n  29 -> 50 [size =\"12136448\"]\n  30 [size=\"120074240\", alpha=\"0.14\", expect_size=\"48029696\"] \n  30 -> 45 [size =\"48029696\"]\n  31 [size=\"129635840\", alpha=\"0.15\", expect_size=\"51854336\"] \n  31 -> 45 [size =\"51854336\"]\n  32 [size=\"67788800\", alpha=\"0.02\", expect_size=\"27115520\"] \n  32 -> 44 [size =\"27115520\"]\n  32 -> 48 [size =\"27115520\"]\n  32 -> 49 [size =\"27115520\"]\n  32 -> 50 [size =\"27115520\"]\n  33 [size=\"42032640\", alpha=\"0.02\", expect_size=\"16813056\"] \n  33 -> 43 [size =\"16813056\"]\n  34 [size=\"100858880\", alpha=\"0.15\", expect_size=\"40343552\"] \n  34 -> 44 [size =\"40343552\"]\n  34 -> 46 [size =\"40343552\"]\n  35 [size=\"90068480\", alpha=\"0.11\", expect_size=\"36027392\"] \n  35 -> 47 [size =\"36027392\"]\n  36 [size=\"32847360\", alpha=\"0.02\", expect_size=\"13138944\"] \n  36 -> 43 [size =\"13138944\"]\n  36 -> 46 [size =\"13138944\"]\n  36 -> 49 [size =\"13138944\"]\n  37 [size=\"76293120\", alpha=\"0.01\", expect_size=\"30517248\"] \n  37 -> 43 [size =\"30517248\"]\n  38 [size=\"61514240\", alpha=\"0.09\", expect_size=\"24605696\"] \n  38 -> 42 [size =\"24605696\"]\n  38 -> 43 [size =\"24605696\"]\n  38 -> 46 [size =\"24605696\"]\n  38 -> 47 [size =\"24605696\"]\n  38 -> 50 [size =\"24605696\"]\n  39 [size=\"118361600\", alpha=\"0.17\", expect_size=\"47344640\"] \n  39 -> 42 [size =\"47344640\"]\n  39 -> 43 [size =\"47344640\"]\n  39 -> 44 [size =\"47344640\"]\n  39 -> 46 [size =\"47344640\"]\n  39 -> 48 [size =\"47344640\"]\n  39 -> 50 [size =\"47344640\"]\n  40 [size=\"128880640\", alpha=\"0.10\", expect_size=\"51552256\"] \n  40 -> 42 [size =\"51552256\"]\n  40 -> 44 [size =\"51552256\"]\n  40 -> 45 [size =\"51552256\"]\n  41 [size=\"94469120\", alpha=\"0.03\", expect_size=\"37787648\"] \n  42 [size=\"62087680\", alpha=\"0.16\", expect_size=\"24835072\"] \n  43 [size=\"73505280\", alpha=\"0.06\", expect_size=\"29402112\"] \n  44 [size=\"85184000\", alpha=\"0.12\", expect_size=\"34073600\"] \n  45 [size=\"55536640\", alpha=\"0.04\", expect_size=\"22214656\"] \n  46 [size=\"122695680\", alpha=\"0.03\", expect_size=\"49078272\"] \n  47 [size=\"16704000\", alpha=\"0.17\", expect_size=\"6681600\"] \n  48 [size=\"23923200\", alpha=\"0.07\", expect_size=\"9569280\"] \n  49 [size=\"74078720\", alpha=\"0.20\", expect_size=\"29631488\"] \n  50 [size=\"56030720\", alpha=\"0.11\", expect_size=\"22412288\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.43.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88343040\", alpha=\"0.13\", expect_size=\"35337216\"] \n  1 -> 2 [size =\"35337216\"]\n  2 [size=\"96629760\", alpha=\"0.01\", expect_size=\"38651904\"] \n  2 -> 3 [size =\"38651904\"]\n  3 [size=\"46228480\", alpha=\"0.02\", expect_size=\"18491392\"] \n  3 -> 4 [size =\"18491392\"]\n  4 [size=\"69893120\", alpha=\"0.11\", expect_size=\"27957248\"] \n  4 -> 5 [size =\"27957248\"]\n  5 [size=\"61795840\", alpha=\"0.12\", expect_size=\"24718336\"] \n  5 -> 6 [size =\"24718336\"]\n  6 [size=\"116124160\", alpha=\"0.10\", expect_size=\"46449664\"] \n  6 -> 7 [size =\"46449664\"]\n  7 [size=\"14858240\", alpha=\"0.13\", expect_size=\"5943296\"] \n  7 -> 8 [size =\"5943296\"]\n  8 [size=\"84605440\", alpha=\"0.20\", expect_size=\"33842176\"] \n  8 -> 9 [size =\"33842176\"]\n  9 [size=\"15534080\", alpha=\"0.02\", expect_size=\"6213632\"] \n  9 -> 10 [size =\"6213632\"]\n  10 [size=\"58245120\", alpha=\"0.10\", expect_size=\"23298048\"] \n  10 -> 11 [size =\"23298048\"]\n  11 [size=\"93017600\", alpha=\"0.04\", expect_size=\"37207040\"] \n  11 -> 12 [size =\"37207040\"]\n  12 [size=\"48908800\", alpha=\"0.11\", expect_size=\"19563520\"] \n  12 -> 13 [size =\"19563520\"]\n  13 [size=\"57200640\", alpha=\"0.09\", expect_size=\"22880256\"] \n  13 -> 14 [size =\"22880256\"]\n  14 [size=\"71930880\", alpha=\"0.19\", expect_size=\"28772352\"] \n  14 -> 15 [size =\"28772352\"]\n  15 [size=\"20876800\", alpha=\"0.16\", expect_size=\"8350720\"] \n  15 -> 16 [size =\"8350720\"]\n  16 [size=\"92736000\", alpha=\"0.07\", expect_size=\"37094400\"] \n  16 -> 17 [size =\"37094400\"]\n  17 [size=\"34918400\", alpha=\"0.03\", expect_size=\"13967360\"] \n  17 -> 18 [size =\"13967360\"]\n  18 [size=\"112975360\", alpha=\"0.03\", expect_size=\"45190144\"] \n  18 -> 19 [size =\"45190144\"]\n  19 [size=\"111229440\", alpha=\"0.12\", expect_size=\"44491776\"] \n  19 -> 20 [size =\"44491776\"]\n  20 [size=\"120099840\", alpha=\"0.13\", expect_size=\"48039936\"] \n  20 -> 21 [size =\"48039936\"]\n  21 [size=\"63232000\", alpha=\"0.06\", expect_size=\"25292800\"] \n  21 -> 22 [size =\"25292800\"]\n  22 [size=\"89285120\", alpha=\"0.14\", expect_size=\"35714048\"] \n  22 -> 23 [size =\"35714048\"]\n  23 [size=\"35156480\", alpha=\"0.07\", expect_size=\"14062592\"] \n  23 -> 24 [size =\"14062592\"]\n  24 [size=\"89369600\", alpha=\"0.10\", expect_size=\"35747840\"] \n  24 -> 25 [size =\"35747840\"]\n  25 [size=\"86356480\", alpha=\"0.01\", expect_size=\"34542592\"] \n  25 -> 26 [size =\"34542592\"]\n  26 [size=\"60986880\", alpha=\"0.09\", expect_size=\"24394752\"] \n  26 -> 27 [size =\"24394752\"]\n  27 [size=\"100853760\", alpha=\"0.18\", expect_size=\"40341504\"] \n  27 -> 28 [size =\"40341504\"]\n  28 [size=\"117368320\", alpha=\"0.19\", expect_size=\"46947328\"] \n  28 -> 29 [size =\"46947328\"]\n  29 [size=\"14428160\", alpha=\"0.01\", expect_size=\"5771264\"] \n  29 -> 30 [size =\"5771264\"]\n  30 [size=\"85642240\", alpha=\"0.10\", expect_size=\"34256896\"] \n  30 -> 31 [size =\"34256896\"]\n  31 [size=\"42846720\", alpha=\"0.12\", expect_size=\"17138688\"] \n  31 -> 32 [size =\"17138688\"]\n  32 [size=\"79249920\", alpha=\"0.01\", expect_size=\"31699968\"] \n  32 -> 33 [size =\"31699968\"]\n  33 [size=\"42442240\", alpha=\"0.17\", expect_size=\"16976896\"] \n  33 -> 34 [size =\"16976896\"]\n  34 [size=\"83512320\", alpha=\"0.03\", expect_size=\"33404928\"] \n  34 -> 35 [size =\"33404928\"]\n  35 [size=\"23316480\", alpha=\"0.11\", expect_size=\"9326592\"] \n  35 -> 36 [size =\"9326592\"]\n  36 [size=\"28508160\", alpha=\"0.11\", expect_size=\"11403264\"] \n  36 -> 37 [size =\"11403264\"]\n  37 [size=\"84144640\", alpha=\"0.16\", expect_size=\"33657856\"] \n  37 -> 38 [size =\"33657856\"]\n  38 [size=\"74012160\", alpha=\"0.18\", expect_size=\"29604864\"] \n  38 -> 39 [size =\"29604864\"]\n  39 [size=\"69608960\", alpha=\"0.16\", expect_size=\"27843584\"] \n  39 -> 40 [size =\"27843584\"]\n  40 [size=\"73361920\", alpha=\"0.12\", expect_size=\"29344768\"] \n  40 -> 41 [size =\"29344768\"]\n  41 [size=\"130411520\", alpha=\"0.17\", expect_size=\"52164608\"] \n  41 -> 42 [size =\"52164608\"]\n  42 [size=\"84738560\", alpha=\"0.15\", expect_size=\"33895424\"] \n  42 -> 43 [size =\"33895424\"]\n  43 [size=\"90112000\", alpha=\"0.16\", expect_size=\"36044800\"] \n  43 -> 44 [size =\"36044800\"]\n  44 [size=\"72660480\", alpha=\"0.11\", expect_size=\"29064192\"] \n  44 -> 45 [size =\"29064192\"]\n  45 [size=\"91210240\", alpha=\"0.17\", expect_size=\"36484096\"] \n  45 -> 46 [size =\"36484096\"]\n  46 [size=\"35568640\", alpha=\"0.12\", expect_size=\"14227456\"] \n  46 -> 47 [size =\"14227456\"]\n  47 [size=\"103324160\", alpha=\"0.02\", expect_size=\"41329664\"] \n  47 -> 48 [size =\"41329664\"]\n  48 [size=\"80368640\", alpha=\"0.10\", expect_size=\"32147456\"] \n  48 -> 49 [size =\"32147456\"]\n  49 [size=\"66565120\", alpha=\"0.17\", expect_size=\"26626048\"] \n  49 -> 50 [size =\"26626048\"]\n  50 [size=\"42076160\", alpha=\"0.17\", expect_size=\"16830464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.44.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"92004352\", alpha=\"0.09\", expect_size=\"46002176\"] \n  1 -> 10 [size =\"46002176\"]\n  2 [size=\"57450496\", alpha=\"0.08\", expect_size=\"28725248\"] \n  2 -> 9 [size =\"28725248\"]\n  3 [size=\"34291712\", alpha=\"0.19\", expect_size=\"17145856\"] \n  3 -> 9 [size =\"17145856\"]\n  3 -> 11 [size =\"17145856\"]\n  4 [size=\"93956096\", alpha=\"0.08\", expect_size=\"46978048\"] \n  4 -> 9 [size =\"46978048\"]\n  4 -> 11 [size =\"46978048\"]\n  5 [size=\"96249856\", alpha=\"0.10\", expect_size=\"48124928\"] \n  5 -> 12 [size =\"48124928\"]\n  6 [size=\"44857344\", alpha=\"0.01\", expect_size=\"22428672\"] \n  6 -> 10 [size =\"22428672\"]\n  6 -> 12 [size =\"22428672\"]\n  7 [size=\"59867136\", alpha=\"0.18\", expect_size=\"29933568\"] \n  7 -> 11 [size =\"29933568\"]\n  7 -> 12 [size =\"29933568\"]\n  7 -> 13 [size =\"29933568\"]\n  8 [size=\"79446016\", alpha=\"0.17\", expect_size=\"39723008\"] \n  8 -> 10 [size =\"39723008\"]\n  8 -> 11 [size =\"39723008\"]\n  8 -> 12 [size =\"39723008\"]\n  9 [size=\"81954816\", alpha=\"0.10\", expect_size=\"40977408\"] \n  9 -> 19 [size =\"40977408\"]\n  10 [size=\"17432576\", alpha=\"0.18\", expect_size=\"8716288\"] \n  10 -> 14 [size =\"8716288\"]\n  10 -> 20 [size =\"8716288\"]\n  11 [size=\"73889792\", alpha=\"0.11\", expect_size=\"36944896\"] \n  11 -> 16 [size =\"36944896\"]\n  11 -> 19 [size =\"36944896\"]\n  11 -> 20 [size =\"36944896\"]\n  12 [size=\"22648832\", alpha=\"0.03\", expect_size=\"11324416\"] \n  12 -> 15 [size =\"11324416\"]\n  12 -> 17 [size =\"11324416\"]\n  12 -> 18 [size =\"11324416\"]\n  12 -> 20 [size =\"11324416\"]\n  13 [size=\"61278208\", alpha=\"0.11\", expect_size=\"30639104\"] \n  13 -> 16 [size =\"30639104\"]\n  14 [size=\"55042048\", alpha=\"0.07\", expect_size=\"27521024\"] \n  14 -> 21 [size =\"27521024\"]\n  15 [size=\"93456384\", alpha=\"0.06\", expect_size=\"46728192\"] \n  15 -> 22 [size =\"46728192\"]\n  15 -> 27 [size =\"46728192\"]\n  16 [size=\"44300288\", alpha=\"0.04\", expect_size=\"22150144\"] \n  16 -> 23 [size =\"22150144\"]\n  17 [size=\"47609856\", alpha=\"0.13\", expect_size=\"23804928\"] \n  17 -> 22 [size =\"23804928\"]\n  17 -> 24 [size =\"23804928\"]\n  17 -> 26 [size =\"23804928\"]\n  18 [size=\"37220352\", alpha=\"0.07\", expect_size=\"18610176\"] \n  18 -> 21 [size =\"18610176\"]\n  18 -> 25 [size =\"18610176\"]\n  18 -> 26 [size =\"18610176\"]\n  19 [size=\"21932032\", alpha=\"0.14\", expect_size=\"10966016\"] \n  19 -> 21 [size =\"10966016\"]\n  19 -> 23 [size =\"10966016\"]\n  19 -> 24 [size =\"10966016\"]\n  19 -> 25 [size =\"10966016\"]\n  19 -> 26 [size =\"10966016\"]\n  20 [size=\"69877760\", alpha=\"0.08\", expect_size=\"34938880\"] \n  21 [size=\"61564928\", alpha=\"0.19\", expect_size=\"30782464\"] \n  21 -> 32 [size =\"30782464\"]\n  22 [size=\"17391616\", alpha=\"0.20\", expect_size=\"8695808\"] \n  22 -> 28 [size =\"8695808\"]\n  22 -> 30 [size =\"8695808\"]\n  22 -> 31 [size =\"8695808\"]\n  23 [size=\"32391168\", alpha=\"0.06\", expect_size=\"16195584\"] \n  23 -> 30 [size =\"16195584\"]\n  23 -> 32 [size =\"16195584\"]\n  24 [size=\"82153472\", alpha=\"0.10\", expect_size=\"41076736\"] \n  25 [size=\"20658176\", alpha=\"0.12\", expect_size=\"10329088\"] \n  25 -> 28 [size =\"10329088\"]\n  26 [size=\"48080896\", alpha=\"0.01\", expect_size=\"24040448\"] \n  26 -> 29 [size =\"24040448\"]\n  26 -> 32 [size =\"24040448\"]\n  27 [size=\"66686976\", alpha=\"0.00\", expect_size=\"33343488\"] \n  27 -> 28 [size =\"33343488\"]\n  27 -> 33 [size =\"33343488\"]\n  28 [size=\"33335296\", alpha=\"0.15\", expect_size=\"16667648\"] \n  28 -> 34 [size =\"16667648\"]\n  28 -> 37 [size =\"16667648\"]\n  28 -> 38 [size =\"16667648\"]\n  29 [size=\"64088064\", alpha=\"0.04\", expect_size=\"32044032\"] \n  29 -> 35 [size =\"32044032\"]\n  29 -> 39 [size =\"32044032\"]\n  30 [size=\"36831232\", alpha=\"0.15\", expect_size=\"18415616\"] \n  30 -> 36 [size =\"18415616\"]\n  30 -> 38 [size =\"18415616\"]\n  31 [size=\"74416128\", alpha=\"0.19\", expect_size=\"37208064\"] \n  31 -> 36 [size =\"37208064\"]\n  31 -> 37 [size =\"37208064\"]\n  31 -> 38 [size =\"37208064\"]\n  32 [size=\"69617664\", alpha=\"0.06\", expect_size=\"34808832\"] \n  32 -> 37 [size =\"34808832\"]\n  33 [size=\"69400576\", alpha=\"0.04\", expect_size=\"34700288\"] \n  34 [size=\"97570816\", alpha=\"0.11\", expect_size=\"48785408\"] \n  34 -> 40 [size =\"48785408\"]\n  34 -> 42 [size =\"48785408\"]\n  34 -> 43 [size =\"48785408\"]\n  35 [size=\"48859136\", alpha=\"0.15\", expect_size=\"24429568\"] \n  35 -> 42 [size =\"24429568\"]\n  35 -> 43 [size =\"24429568\"]\n  36 [size=\"103401472\", alpha=\"0.07\", expect_size=\"51700736\"] \n  36 -> 41 [size =\"51700736\"]\n  36 -> 45 [size =\"51700736\"]\n  37 [size=\"12451840\", alpha=\"0.07\", expect_size=\"6225920\"] \n  37 -> 40 [size =\"6225920\"]\n  38 [size=\"14135296\", alpha=\"0.12\", expect_size=\"7067648\"] \n  38 -> 42 [size =\"7067648\"]\n  38 -> 43 [size =\"7067648\"]\n  38 -> 44 [size =\"7067648\"]\n  38 -> 45 [size =\"7067648\"]\n  39 [size=\"83044352\", alpha=\"0.00\", expect_size=\"41522176\"] \n  39 -> 45 [size =\"41522176\"]\n  40 [size=\"101900288\", alpha=\"0.01\", expect_size=\"50950144\"] \n  40 -> 47 [size =\"50950144\"]\n  40 -> 48 [size =\"50950144\"]\n  40 -> 50 [size =\"50950144\"]\n  41 [size=\"77654016\", alpha=\"0.12\", expect_size=\"38827008\"] \n  42 [size=\"73705472\", alpha=\"0.04\", expect_size=\"36852736\"] \n  42 -> 47 [size =\"36852736\"]\n  42 -> 50 [size =\"36852736\"]\n  43 [size=\"102223872\", alpha=\"0.02\", expect_size=\"51111936\"] \n  43 -> 47 [size =\"51111936\"]\n  43 -> 49 [size =\"51111936\"]\n  43 -> 50 [size =\"51111936\"]\n  44 [size=\"25255936\", alpha=\"0.14\", expect_size=\"12627968\"] \n  44 -> 49 [size =\"12627968\"]\n  45 [size=\"76101632\", alpha=\"0.09\", expect_size=\"38050816\"] \n  45 -> 46 [size =\"38050816\"]\n  46 [size=\"54618112\", alpha=\"0.12\", expect_size=\"27309056\"] \n  47 [size=\"88995840\", alpha=\"0.06\", expect_size=\"44497920\"] \n  48 [size=\"27611136\", alpha=\"0.05\", expect_size=\"13805568\"] \n  49 [size=\"85946368\", alpha=\"0.16\", expect_size=\"42973184\"] \n  50 [size=\"86702080\", alpha=\"0.13\", expect_size=\"43351040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.45.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81192960\", alpha=\"0.18\", expect_size=\"32477184\"] \n  1 -> 2 [size =\"32477184\"]\n  2 [size=\"67182080\", alpha=\"0.15\", expect_size=\"26872832\"] \n  2 -> 3 [size =\"26872832\"]\n  3 [size=\"124933120\", alpha=\"0.12\", expect_size=\"49973248\"] \n  3 -> 4 [size =\"49973248\"]\n  4 [size=\"74216960\", alpha=\"0.10\", expect_size=\"29686784\"] \n  4 -> 5 [size =\"29686784\"]\n  5 [size=\"42821120\", alpha=\"0.04\", expect_size=\"17128448\"] \n  5 -> 6 [size =\"17128448\"]\n  6 [size=\"106854400\", alpha=\"0.03\", expect_size=\"42741760\"] \n  6 -> 7 [size =\"42741760\"]\n  7 [size=\"67578880\", alpha=\"0.02\", expect_size=\"27031552\"] \n  7 -> 8 [size =\"27031552\"]\n  8 [size=\"62187520\", alpha=\"0.07\", expect_size=\"24875008\"] \n  8 -> 9 [size =\"24875008\"]\n  9 [size=\"48189440\", alpha=\"0.16\", expect_size=\"19275776\"] \n  9 -> 10 [size =\"19275776\"]\n  10 [size=\"126717440\", alpha=\"0.14\", expect_size=\"50686976\"] \n  10 -> 11 [size =\"50686976\"]\n  11 [size=\"111285760\", alpha=\"0.02\", expect_size=\"44514304\"] \n  11 -> 12 [size =\"44514304\"]\n  12 [size=\"101255680\", alpha=\"0.03\", expect_size=\"40502272\"] \n  12 -> 13 [size =\"40502272\"]\n  13 [size=\"74672640\", alpha=\"0.12\", expect_size=\"29869056\"] \n  13 -> 14 [size =\"29869056\"]\n  14 [size=\"28392960\", alpha=\"0.09\", expect_size=\"11357184\"] \n  14 -> 15 [size =\"11357184\"]\n  15 [size=\"88527360\", alpha=\"0.09\", expect_size=\"35410944\"] \n  15 -> 16 [size =\"35410944\"]\n  16 [size=\"114613760\", alpha=\"0.17\", expect_size=\"45845504\"] \n  16 -> 17 [size =\"45845504\"]\n  17 [size=\"17095680\", alpha=\"0.16\", expect_size=\"6838272\"] \n  17 -> 18 [size =\"6838272\"]\n  18 [size=\"28577280\", alpha=\"0.07\", expect_size=\"11430912\"] \n  18 -> 19 [size =\"11430912\"]\n  19 [size=\"68600320\", alpha=\"0.18\", expect_size=\"27440128\"] \n  19 -> 20 [size =\"27440128\"]\n  20 [size=\"46487040\", alpha=\"0.16\", expect_size=\"18594816\"] \n  20 -> 21 [size =\"18594816\"]\n  21 [size=\"128358400\", alpha=\"0.06\", expect_size=\"51343360\"] \n  21 -> 22 [size =\"51343360\"]\n  22 [size=\"24949760\", alpha=\"0.05\", expect_size=\"9979904\"] \n  22 -> 23 [size =\"9979904\"]\n  23 [size=\"42959360\", alpha=\"0.03\", expect_size=\"17183744\"] \n  23 -> 24 [size =\"17183744\"]\n  24 [size=\"115768320\", alpha=\"0.12\", expect_size=\"46307328\"] \n  24 -> 25 [size =\"46307328\"]\n  25 [size=\"48691200\", alpha=\"0.05\", expect_size=\"19476480\"] \n  25 -> 26 [size =\"19476480\"]\n  26 [size=\"101373440\", alpha=\"0.15\", expect_size=\"40549376\"] \n  26 -> 27 [size =\"40549376\"]\n  27 [size=\"83169280\", alpha=\"0.13\", expect_size=\"33267712\"] \n  27 -> 28 [size =\"33267712\"]\n  28 [size=\"61360640\", alpha=\"0.20\", expect_size=\"24544256\"] \n  28 -> 29 [size =\"24544256\"]\n  29 [size=\"100167680\", alpha=\"0.13\", expect_size=\"40067072\"] \n  29 -> 30 [size =\"40067072\"]\n  30 [size=\"88102400\", alpha=\"0.05\", expect_size=\"35240960\"] \n  30 -> 31 [size =\"35240960\"]\n  31 [size=\"66393600\", alpha=\"0.14\", expect_size=\"26557440\"] \n  31 -> 32 [size =\"26557440\"]\n  32 [size=\"103127040\", alpha=\"0.17\", expect_size=\"41250816\"] \n  32 -> 33 [size =\"41250816\"]\n  33 [size=\"16448000\", alpha=\"0.11\", expect_size=\"6579200\"] \n  33 -> 34 [size =\"6579200\"]\n  34 [size=\"36152320\", alpha=\"0.08\", expect_size=\"14460928\"] \n  34 -> 35 [size =\"14460928\"]\n  35 [size=\"105382400\", alpha=\"0.18\", expect_size=\"42152960\"] \n  35 -> 36 [size =\"42152960\"]\n  36 [size=\"17927680\", alpha=\"0.04\", expect_size=\"7171072\"] \n  36 -> 37 [size =\"7171072\"]\n  37 [size=\"103462400\", alpha=\"0.12\", expect_size=\"41384960\"] \n  37 -> 38 [size =\"41384960\"]\n  38 [size=\"62568960\", alpha=\"0.02\", expect_size=\"25027584\"] \n  38 -> 39 [size =\"25027584\"]\n  39 [size=\"62292480\", alpha=\"0.01\", expect_size=\"24916992\"] \n  39 -> 40 [size =\"24916992\"]\n  40 [size=\"19750400\", alpha=\"0.06\", expect_size=\"7900160\"] \n  40 -> 41 [size =\"7900160\"]\n  41 [size=\"48552960\", alpha=\"0.11\", expect_size=\"19421184\"] \n  41 -> 42 [size =\"19421184\"]\n  42 [size=\"128919040\", alpha=\"0.18\", expect_size=\"51567616\"] \n  42 -> 43 [size =\"51567616\"]\n  43 [size=\"113067520\", alpha=\"0.09\", expect_size=\"45227008\"] \n  43 -> 44 [size =\"45227008\"]\n  44 [size=\"62563840\", alpha=\"0.18\", expect_size=\"25025536\"] \n  44 -> 45 [size =\"25025536\"]\n  45 [size=\"110661120\", alpha=\"0.13\", expect_size=\"44264448\"] \n  45 -> 46 [size =\"44264448\"]\n  46 [size=\"96852480\", alpha=\"0.04\", expect_size=\"38740992\"] \n  46 -> 47 [size =\"38740992\"]\n  47 [size=\"122641920\", alpha=\"0.06\", expect_size=\"49056768\"] \n  47 -> 48 [size =\"49056768\"]\n  48 [size=\"74053120\", alpha=\"0.16\", expect_size=\"29621248\"] \n  48 -> 49 [size =\"29621248\"]\n  49 [size=\"84528640\", alpha=\"0.01\", expect_size=\"33811456\"] \n  49 -> 50 [size =\"33811456\"]\n  50 [size=\"91589120\", alpha=\"0.18\", expect_size=\"36635648\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.46.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19015680\", alpha=\"0.10\", expect_size=\"9507840\"] \n  1 -> 10 [size =\"9507840\"]\n  1 -> 11 [size =\"9507840\"]\n  1 -> 15 [size =\"9507840\"]\n  1 -> 16 [size =\"9507840\"]\n  2 [size=\"71915520\", alpha=\"0.03\", expect_size=\"35957760\"] \n  2 -> 11 [size =\"35957760\"]\n  2 -> 14 [size =\"35957760\"]\n  2 -> 15 [size =\"35957760\"]\n  3 [size=\"31782912\", alpha=\"0.13\", expect_size=\"15891456\"] \n  3 -> 15 [size =\"15891456\"]\n  4 [size=\"52967424\", alpha=\"0.01\", expect_size=\"26483712\"] \n  4 -> 10 [size =\"26483712\"]\n  4 -> 13 [size =\"26483712\"]\n  4 -> 15 [size =\"26483712\"]\n  5 [size=\"77373440\", alpha=\"0.06\", expect_size=\"38686720\"] \n  5 -> 10 [size =\"38686720\"]\n  5 -> 11 [size =\"38686720\"]\n  5 -> 15 [size =\"38686720\"]\n  6 [size=\"91797504\", alpha=\"0.09\", expect_size=\"45898752\"] \n  6 -> 10 [size =\"45898752\"]\n  6 -> 12 [size =\"45898752\"]\n  7 [size=\"46168064\", alpha=\"0.06\", expect_size=\"23084032\"] \n  7 -> 13 [size =\"23084032\"]\n  8 [size=\"58175488\", alpha=\"0.03\", expect_size=\"29087744\"] \n  8 -> 13 [size =\"29087744\"]\n  8 -> 14 [size =\"29087744\"]\n  8 -> 15 [size =\"29087744\"]\n  8 -> 16 [size =\"29087744\"]\n  8 -> 17 [size =\"29087744\"]\n  9 [size=\"28264448\", alpha=\"0.12\", expect_size=\"14132224\"] \n  9 -> 11 [size =\"14132224\"]\n  9 -> 13 [size =\"14132224\"]\n  9 -> 16 [size =\"14132224\"]\n  9 -> 16 [size =\"14132224\"]\n  10 [size=\"33685504\", alpha=\"0.19\", expect_size=\"16842752\"] \n  10 -> 21 [size =\"16842752\"]\n  10 -> 22 [size =\"16842752\"]\n  10 -> 22 [size =\"16842752\"]\n  10 -> 23 [size =\"16842752\"]\n  11 [size=\"13334528\", alpha=\"0.09\", expect_size=\"6667264\"] \n  11 -> 19 [size =\"6667264\"]\n  11 -> 22 [size =\"6667264\"]\n  12 [size=\"60719104\", alpha=\"0.03\", expect_size=\"30359552\"] \n  12 -> 18 [size =\"30359552\"]\n  12 -> 20 [size =\"30359552\"]\n  12 -> 21 [size =\"30359552\"]\n  12 -> 22 [size =\"30359552\"]\n  12 -> 23 [size =\"30359552\"]\n  13 [size=\"72517632\", alpha=\"0.18\", expect_size=\"36258816\"] \n  13 -> 18 [size =\"36258816\"]\n  13 -> 22 [size =\"36258816\"]\n  13 -> 23 [size =\"36258816\"]\n  14 [size=\"41431040\", alpha=\"0.10\", expect_size=\"20715520\"] \n  14 -> 18 [size =\"20715520\"]\n  14 -> 20 [size =\"20715520\"]\n  14 -> 21 [size =\"20715520\"]\n  14 -> 23 [size =\"20715520\"]\n  15 [size=\"47720448\", alpha=\"0.13\", expect_size=\"23860224\"] \n  15 -> 18 [size =\"23860224\"]\n  15 -> 19 [size =\"23860224\"]\n  15 -> 20 [size =\"23860224\"]\n  15 -> 21 [size =\"23860224\"]\n  15 -> 22 [size =\"23860224\"]\n  16 [size=\"76490752\", alpha=\"0.20\", expect_size=\"38245376\"] \n  16 -> 21 [size =\"38245376\"]\n  16 -> 22 [size =\"38245376\"]\n  17 [size=\"26419200\", alpha=\"0.15\", expect_size=\"13209600\"] \n  17 -> 20 [size =\"13209600\"]\n  17 -> 21 [size =\"13209600\"]\n  17 -> 22 [size =\"13209600\"]\n  17 -> 23 [size =\"13209600\"]\n  18 [size=\"52860928\", alpha=\"0.08\", expect_size=\"26430464\"] \n  18 -> 28 [size =\"26430464\"]\n  18 -> 29 [size =\"26430464\"]\n  19 [size=\"68450304\", alpha=\"0.10\", expect_size=\"34225152\"] \n  19 -> 27 [size =\"34225152\"]\n  19 -> 29 [size =\"34225152\"]\n  20 [size=\"32552960\", alpha=\"0.05\", expect_size=\"16276480\"] \n  21 [size=\"29921280\", alpha=\"0.02\", expect_size=\"14960640\"] \n  21 -> 27 [size =\"14960640\"]\n  21 -> 29 [size =\"14960640\"]\n  22 [size=\"71077888\", alpha=\"0.12\", expect_size=\"35538944\"] \n  22 -> 26 [size =\"35538944\"]\n  22 -> 29 [size =\"35538944\"]\n  23 [size=\"87552000\", alpha=\"0.07\", expect_size=\"43776000\"] \n  23 -> 24 [size =\"43776000\"]\n  23 -> 25 [size =\"43776000\"]\n  23 -> 27 [size =\"43776000\"]\n  23 -> 29 [size =\"43776000\"]\n  24 [size=\"77047808\", alpha=\"0.11\", expect_size=\"38523904\"] \n  24 -> 30 [size =\"38523904\"]\n  25 [size=\"29038592\", alpha=\"0.09\", expect_size=\"14519296\"] \n  25 -> 30 [size =\"14519296\"]\n  25 -> 31 [size =\"14519296\"]\n  26 [size=\"91389952\", alpha=\"0.04\", expect_size=\"45694976\"] \n  26 -> 32 [size =\"45694976\"]\n  27 [size=\"91181056\", alpha=\"0.07\", expect_size=\"45590528\"] \n  27 -> 31 [size =\"45590528\"]\n  27 -> 32 [size =\"45590528\"]\n  28 [size=\"66990080\", alpha=\"0.19\", expect_size=\"33495040\"] \n  28 -> 30 [size =\"33495040\"]\n  28 -> 31 [size =\"33495040\"]\n  28 -> 32 [size =\"33495040\"]\n  29 [size=\"10752000\", alpha=\"0.16\", expect_size=\"5376000\"] \n  29 -> 31 [size =\"5376000\"]\n  29 -> 32 [size =\"5376000\"]\n  30 [size=\"56446976\", alpha=\"0.17\", expect_size=\"28223488\"] \n  30 -> 33 [size =\"28223488\"]\n  30 -> 34 [size =\"28223488\"]\n  30 -> 35 [size =\"28223488\"]\n  30 -> 37 [size =\"28223488\"]\n  30 -> 38 [size =\"28223488\"]\n  30 -> 39 [size =\"28223488\"]\n  31 [size=\"80338944\", alpha=\"0.20\", expect_size=\"40169472\"] \n  31 -> 35 [size =\"40169472\"]\n  31 -> 39 [size =\"40169472\"]\n  31 -> 40 [size =\"40169472\"]\n  32 [size=\"90961920\", alpha=\"0.12\", expect_size=\"45480960\"] \n  32 -> 35 [size =\"45480960\"]\n  32 -> 36 [size =\"45480960\"]\n  32 -> 38 [size =\"45480960\"]\n  33 [size=\"55371776\", alpha=\"0.18\", expect_size=\"27685888\"] \n  33 -> 41 [size =\"27685888\"]\n  33 -> 43 [size =\"27685888\"]\n  33 -> 45 [size =\"27685888\"]\n  34 [size=\"89239552\", alpha=\"0.11\", expect_size=\"44619776\"] \n  34 -> 41 [size =\"44619776\"]\n  34 -> 43 [size =\"44619776\"]\n  34 -> 44 [size =\"44619776\"]\n  35 [size=\"46303232\", alpha=\"0.11\", expect_size=\"23151616\"] \n  35 -> 41 [size =\"23151616\"]\n  35 -> 42 [size =\"23151616\"]\n  35 -> 45 [size =\"23151616\"]\n  36 [size=\"87824384\", alpha=\"0.05\", expect_size=\"43912192\"] \n  36 -> 42 [size =\"43912192\"]\n  36 -> 44 [size =\"43912192\"]\n  36 -> 45 [size =\"43912192\"]\n  37 [size=\"12001280\", alpha=\"0.03\", expect_size=\"6000640\"] \n  37 -> 41 [size =\"6000640\"]\n  37 -> 45 [size =\"6000640\"]\n  38 [size=\"43261952\", alpha=\"0.10\", expect_size=\"21630976\"] \n  38 -> 41 [size =\"21630976\"]\n  38 -> 45 [size =\"21630976\"]\n  39 [size=\"40552448\", alpha=\"0.09\", expect_size=\"20276224\"] \n  39 -> 41 [size =\"20276224\"]\n  39 -> 45 [size =\"20276224\"]\n  40 [size=\"21655552\", alpha=\"0.12\", expect_size=\"10827776\"] \n  40 -> 41 [size =\"10827776\"]\n  40 -> 42 [size =\"10827776\"]\n  40 -> 43 [size =\"10827776\"]\n  40 -> 44 [size =\"10827776\"]\n  41 [size=\"104140800\", alpha=\"0.00\", expect_size=\"52070400\"] \n  41 -> 46 [size =\"52070400\"]\n  41 -> 48 [size =\"52070400\"]\n  41 -> 49 [size =\"52070400\"]\n  42 [size=\"102117376\", alpha=\"0.01\", expect_size=\"51058688\"] \n  42 -> 46 [size =\"51058688\"]\n  42 -> 48 [size =\"51058688\"]\n  43 [size=\"65814528\", alpha=\"0.18\", expect_size=\"32907264\"] \n  43 -> 46 [size =\"32907264\"]\n  43 -> 48 [size =\"32907264\"]\n  43 -> 50 [size =\"32907264\"]\n  44 [size=\"57268224\", alpha=\"0.09\", expect_size=\"28634112\"] \n  44 -> 46 [size =\"28634112\"]\n  44 -> 48 [size =\"28634112\"]\n  44 -> 50 [size =\"28634112\"]\n  45 [size=\"13053952\", alpha=\"0.04\", expect_size=\"6526976\"] \n  45 -> 46 [size =\"6526976\"]\n  45 -> 47 [size =\"6526976\"]\n  46 [size=\"64778240\", alpha=\"0.16\", expect_size=\"32389120\"] \n  47 [size=\"89702400\", alpha=\"0.05\", expect_size=\"44851200\"] \n  48 [size=\"103761920\", alpha=\"0.06\", expect_size=\"51880960\"] \n  49 [size=\"54960128\", alpha=\"0.07\", expect_size=\"27480064\"] \n  50 [size=\"95635456\", alpha=\"0.18\", expect_size=\"47817728\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.47.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"127549440\", alpha=\"0.10\", expect_size=\"38264832\"] \n  1 -> 5 [size =\"38264832\"]\n  1 -> 6 [size =\"38264832\"]\n  2 [size=\"170482347\", alpha=\"0.04\", expect_size=\"51144704\"] \n  2 -> 6 [size =\"51144704\"]\n  2 -> 7 [size =\"51144704\"]\n  3 [size=\"128597333\", alpha=\"0.11\", expect_size=\"38579200\"] \n  3 -> 6 [size =\"38579200\"]\n  3 -> 7 [size =\"38579200\"]\n  4 [size=\"92296533\", alpha=\"0.18\", expect_size=\"27688960\"] \n  4 -> 7 [size =\"27688960\"]\n  5 [size=\"72485547\", alpha=\"0.14\", expect_size=\"21745664\"] \n  5 -> 8 [size =\"21745664\"]\n  5 -> 9 [size =\"21745664\"]\n  5 -> 10 [size =\"21745664\"]\n  5 -> 11 [size =\"21745664\"]\n  5 -> 12 [size =\"21745664\"]\n  5 -> 13 [size =\"21745664\"]\n  5 -> 14 [size =\"21745664\"]\n  6 [size=\"33068373\", alpha=\"0.08\", expect_size=\"9920512\"] \n  6 -> 8 [size =\"9920512\"]\n  6 -> 9 [size =\"9920512\"]\n  6 -> 10 [size =\"9920512\"]\n  6 -> 11 [size =\"9920512\"]\n  6 -> 13 [size =\"9920512\"]\n  6 -> 14 [size =\"9920512\"]\n  7 [size=\"142001493\", alpha=\"0.09\", expect_size=\"42600448\"] \n  7 -> 8 [size =\"42600448\"]\n  7 -> 9 [size =\"42600448\"]\n  7 -> 10 [size =\"42600448\"]\n  7 -> 11 [size =\"42600448\"]\n  7 -> 12 [size =\"42600448\"]\n  8 [size=\"115869013\", alpha=\"0.11\", expect_size=\"34760704\"] \n  8 -> 16 [size =\"34760704\"]\n  8 -> 17 [size =\"34760704\"]\n  8 -> 18 [size =\"34760704\"]\n  8 -> 19 [size =\"34760704\"]\n  8 -> 20 [size =\"34760704\"]\n  8 -> 21 [size =\"34760704\"]\n  9 [size=\"117019307\", alpha=\"0.03\", expect_size=\"35105792\"] \n  9 -> 17 [size =\"35105792\"]\n  9 -> 19 [size =\"35105792\"]\n  9 -> 20 [size =\"35105792\"]\n  10 [size=\"104936107\", alpha=\"0.14\", expect_size=\"31480832\"] \n  10 -> 15 [size =\"31480832\"]\n  10 -> 19 [size =\"31480832\"]\n  11 [size=\"163375787\", alpha=\"0.17\", expect_size=\"49012736\"] \n  11 -> 18 [size =\"49012736\"]\n  11 -> 19 [size =\"49012736\"]\n  12 [size=\"87504213\", alpha=\"0.08\", expect_size=\"26251264\"] \n  12 -> 18 [size =\"26251264\"]\n  12 -> 19 [size =\"26251264\"]\n  12 -> 21 [size =\"26251264\"]\n  13 [size=\"122798080\", alpha=\"0.00\", expect_size=\"36839424\"] \n  13 -> 18 [size =\"36839424\"]\n  13 -> 19 [size =\"36839424\"]\n  13 -> 20 [size =\"36839424\"]\n  13 -> 21 [size =\"36839424\"]\n  14 [size=\"48694613\", alpha=\"0.00\", expect_size=\"14608384\"] \n  14 -> 16 [size =\"14608384\"]\n  14 -> 17 [size =\"14608384\"]\n  14 -> 21 [size =\"14608384\"]\n  15 [size=\"30511787\", alpha=\"0.16\", expect_size=\"9153536\"] \n  15 -> 23 [size =\"9153536\"]\n  15 -> 24 [size =\"9153536\"]\n  15 -> 26 [size =\"9153536\"]\n  15 -> 28 [size =\"9153536\"]\n  15 -> 29 [size =\"9153536\"]\n  15 -> 30 [size =\"9153536\"]\n  16 [size=\"141161813\", alpha=\"0.11\", expect_size=\"42348544\"] \n  16 -> 22 [size =\"42348544\"]\n  16 -> 23 [size =\"42348544\"]\n  16 -> 25 [size =\"42348544\"]\n  16 -> 26 [size =\"42348544\"]\n  16 -> 27 [size =\"42348544\"]\n  16 -> 28 [size =\"42348544\"]\n  16 -> 30 [size =\"42348544\"]\n  17 [size=\"49899520\", alpha=\"0.14\", expect_size=\"14969856\"] \n  17 -> 22 [size =\"14969856\"]\n  17 -> 24 [size =\"14969856\"]\n  17 -> 25 [size =\"14969856\"]\n  17 -> 26 [size =\"14969856\"]\n  17 -> 28 [size =\"14969856\"]\n  17 -> 29 [size =\"14969856\"]\n  18 [size=\"121545387\", alpha=\"0.02\", expect_size=\"36463616\"] \n  18 -> 22 [size =\"36463616\"]\n  18 -> 24 [size =\"36463616\"]\n  18 -> 26 [size =\"36463616\"]\n  18 -> 27 [size =\"36463616\"]\n  18 -> 28 [size =\"36463616\"]\n  18 -> 29 [size =\"36463616\"]\n  19 [size=\"51633493\", alpha=\"0.20\", expect_size=\"15490048\"] \n  19 -> 22 [size =\"15490048\"]\n  19 -> 26 [size =\"15490048\"]\n  19 -> 28 [size =\"15490048\"]\n  19 -> 29 [size =\"15490048\"]\n  20 [size=\"74936320\", alpha=\"0.11\", expect_size=\"22480896\"] \n  20 -> 22 [size =\"22480896\"]\n  20 -> 24 [size =\"22480896\"]\n  20 -> 26 [size =\"22480896\"]\n  20 -> 28 [size =\"22480896\"]\n  21 [size=\"30965760\", alpha=\"0.16\", expect_size=\"9289728\"] \n  21 -> 22 [size =\"9289728\"]\n  21 -> 23 [size =\"9289728\"]\n  21 -> 24 [size =\"9289728\"]\n  21 -> 25 [size =\"9289728\"]\n  21 -> 26 [size =\"9289728\"]\n  21 -> 27 [size =\"9289728\"]\n  21 -> 28 [size =\"9289728\"]\n  22 [size=\"164836693\", alpha=\"0.20\", expect_size=\"49451008\"] \n  22 -> 31 [size =\"49451008\"]\n  22 -> 32 [size =\"49451008\"]\n  22 -> 36 [size =\"49451008\"]\n  22 -> 37 [size =\"49451008\"]\n  23 [size=\"68782080\", alpha=\"0.18\", expect_size=\"20634624\"] \n  23 -> 31 [size =\"20634624\"]\n  23 -> 32 [size =\"20634624\"]\n  23 -> 34 [size =\"20634624\"]\n  23 -> 35 [size =\"20634624\"]\n  23 -> 36 [size =\"20634624\"]\n  23 -> 37 [size =\"20634624\"]\n  24 [size=\"71823360\", alpha=\"0.06\", expect_size=\"21547008\"] \n  24 -> 31 [size =\"21547008\"]\n  24 -> 35 [size =\"21547008\"]\n  24 -> 37 [size =\"21547008\"]\n  25 [size=\"72553813\", alpha=\"0.01\", expect_size=\"21766144\"] \n  25 -> 33 [size =\"21766144\"]\n  25 -> 35 [size =\"21766144\"]\n  25 -> 36 [size =\"21766144\"]\n  25 -> 37 [size =\"21766144\"]\n  26 [size=\"37696853\", alpha=\"0.18\", expect_size=\"11309056\"] \n  26 -> 37 [size =\"11309056\"]\n  27 [size=\"127344640\", alpha=\"0.10\", expect_size=\"38203392\"] \n  27 -> 32 [size =\"38203392\"]\n  27 -> 34 [size =\"38203392\"]\n  27 -> 37 [size =\"38203392\"]\n  28 [size=\"80397653\", alpha=\"0.16\", expect_size=\"24119296\"] \n  28 -> 32 [size =\"24119296\"]\n  28 -> 34 [size =\"24119296\"]\n  28 -> 37 [size =\"24119296\"]\n  29 [size=\"94211413\", alpha=\"0.14\", expect_size=\"28263424\"] \n  29 -> 32 [size =\"28263424\"]\n  29 -> 33 [size =\"28263424\"]\n  29 -> 34 [size =\"28263424\"]\n  29 -> 37 [size =\"28263424\"]\n  30 [size=\"93911040\", alpha=\"0.03\", expect_size=\"28173312\"] \n  30 -> 32 [size =\"28173312\"]\n  30 -> 34 [size =\"28173312\"]\n  30 -> 35 [size =\"28173312\"]\n  30 -> 36 [size =\"28173312\"]\n  30 -> 37 [size =\"28173312\"]\n  31 [size=\"21179733\", alpha=\"0.10\", expect_size=\"6353920\"] \n  31 -> 39 [size =\"6353920\"]\n  31 -> 40 [size =\"6353920\"]\n  31 -> 41 [size =\"6353920\"]\n  31 -> 42 [size =\"6353920\"]\n  31 -> 43 [size =\"6353920\"]\n  32 [size=\"143377067\", alpha=\"0.07\", expect_size=\"43013120\"] \n  32 -> 39 [size =\"43013120\"]\n  32 -> 41 [size =\"43013120\"]\n  32 -> 42 [size =\"43013120\"]\n  32 -> 44 [size =\"43013120\"]\n  33 [size=\"141649920\", alpha=\"0.16\", expect_size=\"42494976\"] \n  33 -> 40 [size =\"42494976\"]\n  33 -> 42 [size =\"42494976\"]\n  33 -> 44 [size =\"42494976\"]\n  33 -> 44 [size =\"42494976\"]\n  34 [size=\"127122773\", alpha=\"0.10\", expect_size=\"38136832\"] \n  34 -> 38 [size =\"38136832\"]\n  34 -> 40 [size =\"38136832\"]\n  34 -> 43 [size =\"38136832\"]\n  34 -> 44 [size =\"38136832\"]\n  35 [size=\"174622720\", alpha=\"0.06\", expect_size=\"52386816\"] \n  35 -> 40 [size =\"52386816\"]\n  35 -> 40 [size =\"52386816\"]\n  35 -> 44 [size =\"52386816\"]\n  36 [size=\"24579413\", alpha=\"0.17\", expect_size=\"7373824\"] \n  36 -> 39 [size =\"7373824\"]\n  37 [size=\"164454400\", alpha=\"0.12\", expect_size=\"49336320\"] \n  37 -> 39 [size =\"49336320\"]\n  37 -> 41 [size =\"49336320\"]\n  37 -> 42 [size =\"49336320\"]\n  37 -> 43 [size =\"49336320\"]\n  38 [size=\"89620480\", alpha=\"0.01\", expect_size=\"26886144\"] \n  38 -> 45 [size =\"26886144\"]\n  38 -> 48 [size =\"26886144\"]\n  38 -> 49 [size =\"26886144\"]\n  39 [size=\"55767040\", alpha=\"0.14\", expect_size=\"16730112\"] \n  39 -> 45 [size =\"16730112\"]\n  39 -> 47 [size =\"16730112\"]\n  40 [size=\"162433707\", alpha=\"0.14\", expect_size=\"48730112\"] \n  40 -> 45 [size =\"48730112\"]\n  40 -> 46 [size =\"48730112\"]\n  40 -> 47 [size =\"48730112\"]\n  40 -> 48 [size =\"48730112\"]\n  40 -> 49 [size =\"48730112\"]\n  40 -> 50 [size =\"48730112\"]\n  41 [size=\"25227947\", alpha=\"0.16\", expect_size=\"7568384\"] \n  41 -> 47 [size =\"7568384\"]\n  41 -> 48 [size =\"7568384\"]\n  41 -> 49 [size =\"7568384\"]\n  42 [size=\"104618667\", alpha=\"0.16\", expect_size=\"31385600\"] \n  42 -> 45 [size =\"31385600\"]\n  42 -> 46 [size =\"31385600\"]\n  42 -> 47 [size =\"31385600\"]\n  42 -> 49 [size =\"31385600\"]\n  42 -> 50 [size =\"31385600\"]\n  43 [size=\"156067840\", alpha=\"0.04\", expect_size=\"46820352\"] \n  43 -> 46 [size =\"46820352\"]\n  43 -> 47 [size =\"46820352\"]\n  43 -> 48 [size =\"46820352\"]\n  43 -> 50 [size =\"46820352\"]\n  43 -> 50 [size =\"46820352\"]\n  44 [size=\"127607467\", alpha=\"0.18\", expect_size=\"38282240\"] \n  44 -> 45 [size =\"38282240\"]\n  44 -> 47 [size =\"38282240\"]\n  44 -> 48 [size =\"38282240\"]\n  44 -> 49 [size =\"38282240\"]\n  44 -> 50 [size =\"38282240\"]\n  45 [size=\"50462720\", alpha=\"0.19\", expect_size=\"15138816\"] \n  46 [size=\"94955520\", alpha=\"0.02\", expect_size=\"28486656\"] \n  47 [size=\"70202027\", alpha=\"0.00\", expect_size=\"21060608\"] \n  48 [size=\"165918720\", alpha=\"0.06\", expect_size=\"49775616\"] \n  49 [size=\"171595093\", alpha=\"0.01\", expect_size=\"51478528\"] \n  50 [size=\"121395200\", alpha=\"0.06\", expect_size=\"36418560\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.48.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"154688853\", alpha=\"0.07\", expect_size=\"46406656\"] \n  1 -> 5 [size =\"46406656\"]\n  2 [size=\"133724160\", alpha=\"0.04\", expect_size=\"40117248\"] \n  2 -> 4 [size =\"40117248\"]\n  2 -> 5 [size =\"40117248\"]\n  3 [size=\"18804053\", alpha=\"0.15\", expect_size=\"5641216\"] \n  3 -> 5 [size =\"5641216\"]\n  4 [size=\"33409707\", alpha=\"0.01\", expect_size=\"10022912\"] \n  4 -> 6 [size =\"10022912\"]\n  4 -> 7 [size =\"10022912\"]\n  5 [size=\"53162667\", alpha=\"0.07\", expect_size=\"15948800\"] \n  5 -> 6 [size =\"15948800\"]\n  5 -> 7 [size =\"15948800\"]\n  6 [size=\"63597227\", alpha=\"0.06\", expect_size=\"19079168\"] \n  6 -> 8 [size =\"19079168\"]\n  6 -> 9 [size =\"19079168\"]\n  6 -> 10 [size =\"19079168\"]\n  7 [size=\"32969387\", alpha=\"0.07\", expect_size=\"9890816\"] \n  7 -> 9 [size =\"9890816\"]\n  8 [size=\"78554453\", alpha=\"0.13\", expect_size=\"23566336\"] \n  8 -> 11 [size =\"23566336\"]\n  8 -> 12 [size =\"23566336\"]\n  9 [size=\"28450133\", alpha=\"0.01\", expect_size=\"8535040\"] \n  9 -> 12 [size =\"8535040\"]\n  10 [size=\"106171733\", alpha=\"0.15\", expect_size=\"31851520\"] \n  10 -> 11 [size =\"31851520\"]\n  10 -> 12 [size =\"31851520\"]\n  11 [size=\"24726187\", alpha=\"0.06\", expect_size=\"7417856\"] \n  11 -> 13 [size =\"7417856\"]\n  12 [size=\"76072960\", alpha=\"0.14\", expect_size=\"22821888\"] \n  12 -> 13 [size =\"22821888\"]\n  12 -> 14 [size =\"22821888\"]\n  13 [size=\"106455040\", alpha=\"0.06\", expect_size=\"31936512\"] \n  13 -> 15 [size =\"31936512\"]\n  13 -> 16 [size =\"31936512\"]\n  13 -> 17 [size =\"31936512\"]\n  14 [size=\"64204800\", alpha=\"0.15\", expect_size=\"19261440\"] \n  14 -> 15 [size =\"19261440\"]\n  14 -> 16 [size =\"19261440\"]\n  14 -> 17 [size =\"19261440\"]\n  15 [size=\"73697280\", alpha=\"0.18\", expect_size=\"22109184\"] \n  15 -> 18 [size =\"22109184\"]\n  15 -> 19 [size =\"22109184\"]\n  16 [size=\"128157013\", alpha=\"0.17\", expect_size=\"38447104\"] \n  16 -> 18 [size =\"38447104\"]\n  16 -> 19 [size =\"38447104\"]\n  16 -> 20 [size =\"38447104\"]\n  17 [size=\"18295467\", alpha=\"0.12\", expect_size=\"5488640\"] \n  17 -> 19 [size =\"5488640\"]\n  18 [size=\"70301013\", alpha=\"0.04\", expect_size=\"21090304\"] \n  18 -> 21 [size =\"21090304\"]\n  18 -> 22 [size =\"21090304\"]\n  18 -> 23 [size =\"21090304\"]\n  19 [size=\"172520107\", alpha=\"0.16\", expect_size=\"51756032\"] \n  20 [size=\"20227413\", alpha=\"0.16\", expect_size=\"6068224\"] \n  20 -> 21 [size =\"6068224\"]\n  21 [size=\"134724267\", alpha=\"0.14\", expect_size=\"40417280\"] \n  21 -> 25 [size =\"40417280\"]\n  21 -> 26 [size =\"40417280\"]\n  21 -> 26 [size =\"40417280\"]\n  22 [size=\"28276053\", alpha=\"0.06\", expect_size=\"8482816\"] \n  22 -> 25 [size =\"8482816\"]\n  23 [size=\"136086187\", alpha=\"0.18\", expect_size=\"40825856\"] \n  23 -> 24 [size =\"40825856\"]\n  23 -> 25 [size =\"40825856\"]\n  23 -> 26 [size =\"40825856\"]\n  24 [size=\"27122347\", alpha=\"0.12\", expect_size=\"8136704\"] \n  24 -> 27 [size =\"8136704\"]\n  24 -> 28 [size =\"8136704\"]\n  25 [size=\"143923200\", alpha=\"0.11\", expect_size=\"43176960\"] \n  25 -> 27 [size =\"43176960\"]\n  25 -> 28 [size =\"43176960\"]\n  26 [size=\"129324373\", alpha=\"0.15\", expect_size=\"38797312\"] \n  26 -> 28 [size =\"38797312\"]\n  27 [size=\"107588267\", alpha=\"0.02\", expect_size=\"32276480\"] \n  27 -> 29 [size =\"32276480\"]\n  27 -> 30 [size =\"32276480\"]\n  28 [size=\"46469120\", alpha=\"0.16\", expect_size=\"13940736\"] \n  28 -> 29 [size =\"13940736\"]\n  28 -> 30 [size =\"13940736\"]\n  29 [size=\"77277867\", alpha=\"0.12\", expect_size=\"23183360\"] \n  29 -> 31 [size =\"23183360\"]\n  29 -> 32 [size =\"23183360\"]\n  29 -> 33 [size =\"23183360\"]\n  30 [size=\"49380693\", alpha=\"0.19\", expect_size=\"14814208\"] \n  30 -> 31 [size =\"14814208\"]\n  30 -> 32 [size =\"14814208\"]\n  31 [size=\"19950933\", alpha=\"0.07\", expect_size=\"5985280\"] \n  31 -> 34 [size =\"5985280\"]\n  31 -> 35 [size =\"5985280\"]\n  32 [size=\"126204587\", alpha=\"0.03\", expect_size=\"37861376\"] \n  32 -> 34 [size =\"37861376\"]\n  32 -> 35 [size =\"37861376\"]\n  33 [size=\"169816747\", alpha=\"0.09\", expect_size=\"50945024\"] \n  33 -> 34 [size =\"50945024\"]\n  33 -> 35 [size =\"50945024\"]\n  34 [size=\"152122027\", alpha=\"0.02\", expect_size=\"45636608\"] \n  34 -> 36 [size =\"45636608\"]\n  34 -> 37 [size =\"45636608\"]\n  35 [size=\"89053867\", alpha=\"0.02\", expect_size=\"26716160\"] \n  35 -> 36 [size =\"26716160\"]\n  35 -> 38 [size =\"26716160\"]\n  36 [size=\"173588480\", alpha=\"0.16\", expect_size=\"52076544\"] \n  36 -> 39 [size =\"52076544\"]\n  36 -> 40 [size =\"52076544\"]\n  37 [size=\"137277440\", alpha=\"0.10\", expect_size=\"41183232\"] \n  38 [size=\"152896853\", alpha=\"0.10\", expect_size=\"45869056\"] \n  39 [size=\"124241920\", alpha=\"0.11\", expect_size=\"37272576\"] \n  39 -> 42 [size =\"37272576\"]\n  40 [size=\"62286507\", alpha=\"0.12\", expect_size=\"18685952\"] \n  40 -> 41 [size =\"18685952\"]\n  40 -> 42 [size =\"18685952\"]\n  41 [size=\"55726080\", alpha=\"0.07\", expect_size=\"16717824\"] \n  41 -> 43 [size =\"16717824\"]\n  41 -> 44 [size =\"16717824\"]\n  42 [size=\"111813973\", alpha=\"0.04\", expect_size=\"33544192\"] \n  42 -> 43 [size =\"33544192\"]\n  42 -> 44 [size =\"33544192\"]\n  43 [size=\"131860480\", alpha=\"0.17\", expect_size=\"39558144\"] \n  43 -> 45 [size =\"39558144\"]\n  44 [size=\"47557973\", alpha=\"0.10\", expect_size=\"14267392\"] \n  44 -> 46 [size =\"14267392\"]\n  45 [size=\"62924800\", alpha=\"0.19\", expect_size=\"18877440\"] \n  45 -> 47 [size =\"18877440\"]\n  45 -> 48 [size =\"18877440\"]\n  45 -> 49 [size =\"18877440\"]\n  46 [size=\"76898987\", alpha=\"0.03\", expect_size=\"23069696\"] \n  46 -> 48 [size =\"23069696\"]\n  47 [size=\"42878293\", alpha=\"0.18\", expect_size=\"12863488\"] \n  47 -> 50 [size =\"12863488\"]\n  48 [size=\"118964907\", alpha=\"0.17\", expect_size=\"35689472\"] \n  48 -> 50 [size =\"35689472\"]\n  49 [size=\"43414187\", alpha=\"0.03\", expect_size=\"13024256\"] \n  49 -> 50 [size =\"13024256\"]\n  50 [size=\"128563200\", alpha=\"0.14\", expect_size=\"38568960\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.49.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129551360\", alpha=\"0.11\", expect_size=\"51820544\"] \n  1 -> 2 [size =\"51820544\"]\n  2 [size=\"71377920\", alpha=\"0.15\", expect_size=\"28551168\"] \n  2 -> 3 [size =\"28551168\"]\n  3 [size=\"51028480\", alpha=\"0.13\", expect_size=\"20411392\"] \n  3 -> 4 [size =\"20411392\"]\n  4 [size=\"29102080\", alpha=\"0.19\", expect_size=\"11640832\"] \n  4 -> 5 [size =\"11640832\"]\n  5 [size=\"128801280\", alpha=\"0.11\", expect_size=\"51520512\"] \n  5 -> 6 [size =\"51520512\"]\n  6 [size=\"36231680\", alpha=\"0.12\", expect_size=\"14492672\"] \n  6 -> 7 [size =\"14492672\"]\n  7 [size=\"122117120\", alpha=\"0.02\", expect_size=\"48846848\"] \n  7 -> 8 [size =\"48846848\"]\n  8 [size=\"26951680\", alpha=\"0.05\", expect_size=\"10780672\"] \n  8 -> 9 [size =\"10780672\"]\n  9 [size=\"66073600\", alpha=\"0.10\", expect_size=\"26429440\"] \n  9 -> 10 [size =\"26429440\"]\n  10 [size=\"41815040\", alpha=\"0.16\", expect_size=\"16726016\"] \n  10 -> 11 [size =\"16726016\"]\n  11 [size=\"47211520\", alpha=\"0.15\", expect_size=\"18884608\"] \n  11 -> 12 [size =\"18884608\"]\n  12 [size=\"109557760\", alpha=\"0.06\", expect_size=\"43823104\"] \n  12 -> 13 [size =\"43823104\"]\n  13 [size=\"77626880\", alpha=\"0.19\", expect_size=\"31050752\"] \n  13 -> 14 [size =\"31050752\"]\n  14 [size=\"34219520\", alpha=\"0.09\", expect_size=\"13687808\"] \n  14 -> 15 [size =\"13687808\"]\n  15 [size=\"30643200\", alpha=\"0.10\", expect_size=\"12257280\"] \n  15 -> 16 [size =\"12257280\"]\n  16 [size=\"94277120\", alpha=\"0.04\", expect_size=\"37710848\"] \n  16 -> 17 [size =\"37710848\"]\n  17 [size=\"49323520\", alpha=\"0.13\", expect_size=\"19729408\"] \n  17 -> 18 [size =\"19729408\"]\n  18 [size=\"63109120\", alpha=\"0.18\", expect_size=\"25243648\"] \n  18 -> 19 [size =\"25243648\"]\n  19 [size=\"90398720\", alpha=\"0.07\", expect_size=\"36159488\"] \n  19 -> 20 [size =\"36159488\"]\n  20 [size=\"33095680\", alpha=\"0.06\", expect_size=\"13238272\"] \n  20 -> 21 [size =\"13238272\"]\n  21 [size=\"130365440\", alpha=\"0.04\", expect_size=\"52146176\"] \n  21 -> 22 [size =\"52146176\"]\n  22 [size=\"102978560\", alpha=\"0.12\", expect_size=\"41191424\"] \n  22 -> 23 [size =\"41191424\"]\n  23 [size=\"18905600\", alpha=\"0.06\", expect_size=\"7562240\"] \n  23 -> 24 [size =\"7562240\"]\n  24 [size=\"128460800\", alpha=\"0.03\", expect_size=\"51384320\"] \n  24 -> 25 [size =\"51384320\"]\n  25 [size=\"62469120\", alpha=\"0.20\", expect_size=\"24987648\"] \n  25 -> 26 [size =\"24987648\"]\n  26 [size=\"119134720\", alpha=\"0.00\", expect_size=\"47653888\"] \n  26 -> 27 [size =\"47653888\"]\n  27 [size=\"25336320\", alpha=\"0.20\", expect_size=\"10134528\"] \n  27 -> 28 [size =\"10134528\"]\n  28 [size=\"103508480\", alpha=\"0.01\", expect_size=\"41403392\"] \n  28 -> 29 [size =\"41403392\"]\n  29 [size=\"92364800\", alpha=\"0.11\", expect_size=\"36945920\"] \n  29 -> 30 [size =\"36945920\"]\n  30 [size=\"16913920\", alpha=\"0.07\", expect_size=\"6765568\"] \n  30 -> 31 [size =\"6765568\"]\n  31 [size=\"49615360\", alpha=\"0.08\", expect_size=\"19846144\"] \n  31 -> 32 [size =\"19846144\"]\n  32 [size=\"70976000\", alpha=\"0.05\", expect_size=\"28390400\"] \n  32 -> 33 [size =\"28390400\"]\n  33 [size=\"21306880\", alpha=\"0.14\", expect_size=\"8522752\"] \n  33 -> 34 [size =\"8522752\"]\n  34 [size=\"56496640\", alpha=\"0.06\", expect_size=\"22598656\"] \n  34 -> 35 [size =\"22598656\"]\n  35 [size=\"74570240\", alpha=\"0.01\", expect_size=\"29828096\"] \n  35 -> 36 [size =\"29828096\"]\n  36 [size=\"73264640\", alpha=\"0.09\", expect_size=\"29305856\"] \n  36 -> 37 [size =\"29305856\"]\n  37 [size=\"75701760\", alpha=\"0.04\", expect_size=\"30280704\"] \n  37 -> 38 [size =\"30280704\"]\n  38 [size=\"72929280\", alpha=\"0.07\", expect_size=\"29171712\"] \n  38 -> 39 [size =\"29171712\"]\n  39 [size=\"78794240\", alpha=\"0.04\", expect_size=\"31517696\"] \n  39 -> 40 [size =\"31517696\"]\n  40 [size=\"28298240\", alpha=\"0.04\", expect_size=\"11319296\"] \n  40 -> 41 [size =\"11319296\"]\n  41 [size=\"68113920\", alpha=\"0.03\", expect_size=\"27245568\"] \n  41 -> 42 [size =\"27245568\"]\n  42 [size=\"114380800\", alpha=\"0.18\", expect_size=\"45752320\"] \n  42 -> 43 [size =\"45752320\"]\n  43 [size=\"27624960\", alpha=\"0.14\", expect_size=\"11049984\"] \n  43 -> 44 [size =\"11049984\"]\n  44 [size=\"108295680\", alpha=\"0.10\", expect_size=\"43318272\"] \n  44 -> 45 [size =\"43318272\"]\n  45 [size=\"23613440\", alpha=\"0.14\", expect_size=\"9445376\"] \n  45 -> 46 [size =\"9445376\"]\n  46 [size=\"27043840\", alpha=\"0.15\", expect_size=\"10817536\"] \n  46 -> 47 [size =\"10817536\"]\n  47 [size=\"81794560\", alpha=\"0.19\", expect_size=\"32717824\"] \n  47 -> 48 [size =\"32717824\"]\n  48 [size=\"106117120\", alpha=\"0.18\", expect_size=\"42446848\"] \n  48 -> 49 [size =\"42446848\"]\n  49 [size=\"32048640\", alpha=\"0.11\", expect_size=\"12819456\"] \n  49 -> 50 [size =\"12819456\"]\n  50 [size=\"54850560\", alpha=\"0.04\", expect_size=\"21940224\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.5.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"82001920\", alpha=\"0.10\", expect_size=\"32800768\"] \n  1 -> 11 [size =\"32800768\"]\n  1 -> 14 [size =\"32800768\"]\n  2 [size=\"97528320\", alpha=\"0.16\", expect_size=\"39011328\"] \n  2 -> 12 [size =\"39011328\"]\n  2 -> 14 [size =\"39011328\"]\n  3 [size=\"56401920\", alpha=\"0.10\", expect_size=\"22560768\"] \n  4 [size=\"103104000\", alpha=\"0.05\", expect_size=\"41241600\"] \n  4 -> 13 [size =\"41241600\"]\n  4 -> 15 [size =\"41241600\"]\n  5 [size=\"104578560\", alpha=\"0.14\", expect_size=\"41831424\"] \n  5 -> 12 [size =\"41831424\"]\n  5 -> 13 [size =\"41831424\"]\n  6 [size=\"30632960\", alpha=\"0.10\", expect_size=\"12253184\"] \n  6 -> 11 [size =\"12253184\"]\n  7 [size=\"88005120\", alpha=\"0.14\", expect_size=\"35202048\"] \n  7 -> 15 [size =\"35202048\"]\n  8 [size=\"90396160\", alpha=\"0.02\", expect_size=\"36158464\"] \n  8 -> 12 [size =\"36158464\"]\n  9 [size=\"89564160\", alpha=\"0.14\", expect_size=\"35825664\"] \n  9 -> 11 [size =\"35825664\"]\n  9 -> 14 [size =\"35825664\"]\n  10 [size=\"54154240\", alpha=\"0.06\", expect_size=\"21661696\"] \n  10 -> 12 [size =\"21661696\"]\n  10 -> 13 [size =\"21661696\"]\n  11 [size=\"82718720\", alpha=\"0.06\", expect_size=\"33087488\"] \n  11 -> 16 [size =\"33087488\"]\n  11 -> 20 [size =\"33087488\"]\n  11 -> 21 [size =\"33087488\"]\n  11 -> 22 [size =\"33087488\"]\n  12 [size=\"25262080\", alpha=\"0.14\", expect_size=\"10104832\"] \n  12 -> 16 [size =\"10104832\"]\n  13 [size=\"122168320\", alpha=\"0.12\", expect_size=\"48867328\"] \n  13 -> 16 [size =\"48867328\"]\n  13 -> 18 [size =\"48867328\"]\n  13 -> 21 [size =\"48867328\"]\n  13 -> 22 [size =\"48867328\"]\n  14 [size=\"64632320\", alpha=\"0.07\", expect_size=\"25852928\"] \n  14 -> 17 [size =\"25852928\"]\n  14 -> 19 [size =\"25852928\"]\n  14 -> 20 [size =\"25852928\"]\n  15 [size=\"93076480\", alpha=\"0.02\", expect_size=\"37230592\"] \n  15 -> 17 [size =\"37230592\"]\n  15 -> 19 [size =\"37230592\"]\n  15 -> 20 [size =\"37230592\"]\n  15 -> 21 [size =\"37230592\"]\n  15 -> 22 [size =\"37230592\"]\n  16 [size=\"57584640\", alpha=\"0.00\", expect_size=\"23033856\"] \n  16 -> 24 [size =\"23033856\"]\n  16 -> 25 [size =\"23033856\"]\n  16 -> 26 [size =\"23033856\"]\n  16 -> 27 [size =\"23033856\"]\n  17 [size=\"114304000\", alpha=\"0.03\", expect_size=\"45721600\"] \n  17 -> 24 [size =\"45721600\"]\n  17 -> 26 [size =\"45721600\"]\n  17 -> 27 [size =\"45721600\"]\n  18 [size=\"76490240\", alpha=\"0.08\", expect_size=\"30596096\"] \n  18 -> 23 [size =\"30596096\"]\n  18 -> 25 [size =\"30596096\"]\n  18 -> 26 [size =\"30596096\"]\n  19 [size=\"88896000\", alpha=\"0.19\", expect_size=\"35558400\"] \n  19 -> 23 [size =\"35558400\"]\n  19 -> 29 [size =\"35558400\"]\n  20 [size=\"53916160\", alpha=\"0.09\", expect_size=\"21566464\"] \n  20 -> 25 [size =\"21566464\"]\n  20 -> 27 [size =\"21566464\"]\n  20 -> 28 [size =\"21566464\"]\n  20 -> 30 [size =\"21566464\"]\n  21 [size=\"86881280\", alpha=\"0.11\", expect_size=\"34752512\"] \n  21 -> 24 [size =\"34752512\"]\n  21 -> 30 [size =\"34752512\"]\n  22 [size=\"123781120\", alpha=\"0.07\", expect_size=\"49512448\"] \n  22 -> 23 [size =\"49512448\"]\n  22 -> 24 [size =\"49512448\"]\n  22 -> 26 [size =\"49512448\"]\n  23 [size=\"85972480\", alpha=\"0.11\", expect_size=\"34388992\"] \n  23 -> 32 [size =\"34388992\"]\n  23 -> 37 [size =\"34388992\"]\n  23 -> 39 [size =\"34388992\"]\n  23 -> 40 [size =\"34388992\"]\n  24 [size=\"36730880\", alpha=\"0.09\", expect_size=\"14692352\"] \n  24 -> 31 [size =\"14692352\"]\n  24 -> 32 [size =\"14692352\"]\n  24 -> 33 [size =\"14692352\"]\n  24 -> 35 [size =\"14692352\"]\n  24 -> 37 [size =\"14692352\"]\n  25 [size=\"77908480\", alpha=\"0.03\", expect_size=\"31163392\"] \n  25 -> 31 [size =\"31163392\"]\n  25 -> 32 [size =\"31163392\"]\n  25 -> 37 [size =\"31163392\"]\n  25 -> 39 [size =\"31163392\"]\n  26 [size=\"90557440\", alpha=\"0.01\", expect_size=\"36222976\"] \n  26 -> 38 [size =\"36222976\"]\n  27 [size=\"92469760\", alpha=\"0.11\", expect_size=\"36987904\"] \n  28 [size=\"112325120\", alpha=\"0.14\", expect_size=\"44930048\"] \n  28 -> 33 [size =\"44930048\"]\n  28 -> 36 [size =\"44930048\"]\n  28 -> 37 [size =\"44930048\"]\n  28 -> 38 [size =\"44930048\"]\n  28 -> 39 [size =\"44930048\"]\n  29 [size=\"42562560\", alpha=\"0.09\", expect_size=\"17025024\"] \n  29 -> 32 [size =\"17025024\"]\n  29 -> 34 [size =\"17025024\"]\n  29 -> 39 [size =\"17025024\"]\n  30 [size=\"37135360\", alpha=\"0.12\", expect_size=\"14854144\"] \n  30 -> 34 [size =\"14854144\"]\n  31 [size=\"91348480\", alpha=\"0.07\", expect_size=\"36539392\"] \n  31 -> 41 [size =\"36539392\"]\n  31 -> 43 [size =\"36539392\"]\n  31 -> 44 [size =\"36539392\"]\n  32 [size=\"38169600\", alpha=\"0.04\", expect_size=\"15267840\"] \n  32 -> 42 [size =\"15267840\"]\n  32 -> 43 [size =\"15267840\"]\n  32 -> 44 [size =\"15267840\"]\n  33 [size=\"79984640\", alpha=\"0.19\", expect_size=\"31993856\"] \n  33 -> 47 [size =\"31993856\"]\n  34 [size=\"24161280\", alpha=\"0.03\", expect_size=\"9664512\"] \n  35 [size=\"78661120\", alpha=\"0.01\", expect_size=\"31464448\"] \n  35 -> 41 [size =\"31464448\"]\n  35 -> 42 [size =\"31464448\"]\n  35 -> 43 [size =\"31464448\"]\n  36 [size=\"99031040\", alpha=\"0.06\", expect_size=\"39612416\"] \n  36 -> 46 [size =\"39612416\"]\n  37 [size=\"102794240\", alpha=\"0.08\", expect_size=\"41117696\"] \n  38 [size=\"46888960\", alpha=\"0.01\", expect_size=\"18755584\"] \n  38 -> 42 [size =\"18755584\"]\n  39 [size=\"126566400\", alpha=\"0.07\", expect_size=\"50626560\"] \n  39 -> 42 [size =\"50626560\"]\n  39 -> 44 [size =\"50626560\"]\n  39 -> 45 [size =\"50626560\"]\n  40 [size=\"64394240\", alpha=\"0.20\", expect_size=\"25757696\"] \n  40 -> 42 [size =\"25757696\"]\n  40 -> 43 [size =\"25757696\"]\n  40 -> 44 [size =\"25757696\"]\n  41 [size=\"19379200\", alpha=\"0.05\", expect_size=\"7751680\"] \n  41 -> 48 [size =\"7751680\"]\n  41 -> 49 [size =\"7751680\"]\n  42 [size=\"61135360\", alpha=\"0.09\", expect_size=\"24454144\"] \n  42 -> 50 [size =\"24454144\"]\n  43 [size=\"83857920\", alpha=\"0.05\", expect_size=\"33543168\"] \n  44 [size=\"78640640\", alpha=\"0.06\", expect_size=\"31456256\"] \n  45 [size=\"97013760\", alpha=\"0.17\", expect_size=\"38805504\"] \n  46 [size=\"100979200\", alpha=\"0.02\", expect_size=\"40391680\"] \n  47 [size=\"17052160\", alpha=\"0.20\", expect_size=\"6820864\"] \n  47 -> 48 [size =\"6820864\"]\n  47 -> 49 [size =\"6820864\"]\n  48 [size=\"64394240\", alpha=\"0.14\", expect_size=\"25757696\"] \n  49 [size=\"70458880\", alpha=\"0.14\", expect_size=\"28183552\"] \n  50 [size=\"111040000\", alpha=\"0.18\", expect_size=\"44416000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.50.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"13672448\", alpha=\"0.11\", expect_size=\"6836224\"] \n  1 -> 9 [size =\"6836224\"]\n  1 -> 10 [size =\"6836224\"]\n  1 -> 12 [size =\"6836224\"]\n  1 -> 14 [size =\"6836224\"]\n  2 [size=\"52500480\", alpha=\"0.01\", expect_size=\"26250240\"] \n  2 -> 12 [size =\"26250240\"]\n  2 -> 14 [size =\"26250240\"]\n  3 [size=\"72501248\", alpha=\"0.12\", expect_size=\"36250624\"] \n  3 -> 9 [size =\"36250624\"]\n  3 -> 11 [size =\"36250624\"]\n  3 -> 12 [size =\"36250624\"]\n  3 -> 13 [size =\"36250624\"]\n  3 -> 14 [size =\"36250624\"]\n  4 [size=\"63545344\", alpha=\"0.17\", expect_size=\"31772672\"] \n  4 -> 8 [size =\"31772672\"]\n  4 -> 9 [size =\"31772672\"]\n  4 -> 10 [size =\"31772672\"]\n  4 -> 13 [size =\"31772672\"]\n  4 -> 14 [size =\"31772672\"]\n  5 [size=\"37359616\", alpha=\"0.18\", expect_size=\"18679808\"] \n  5 -> 8 [size =\"18679808\"]\n  5 -> 9 [size =\"18679808\"]\n  5 -> 13 [size =\"18679808\"]\n  6 [size=\"88485888\", alpha=\"0.16\", expect_size=\"44242944\"] \n  6 -> 8 [size =\"44242944\"]\n  6 -> 9 [size =\"44242944\"]\n  6 -> 12 [size =\"44242944\"]\n  6 -> 13 [size =\"44242944\"]\n  7 [size=\"62455808\", alpha=\"0.00\", expect_size=\"31227904\"] \n  7 -> 9 [size =\"31227904\"]\n  7 -> 10 [size =\"31227904\"]\n  7 -> 12 [size =\"31227904\"]\n  7 -> 14 [size =\"31227904\"]\n  8 [size=\"11300864\", alpha=\"0.15\", expect_size=\"5650432\"] \n  8 -> 17 [size =\"5650432\"]\n  8 -> 19 [size =\"5650432\"]\n  9 [size=\"104284160\", alpha=\"0.06\", expect_size=\"52142080\"] \n  9 -> 17 [size =\"52142080\"]\n  9 -> 18 [size =\"52142080\"]\n  9 -> 19 [size =\"52142080\"]\n  10 [size=\"59623424\", alpha=\"0.00\", expect_size=\"29811712\"] \n  10 -> 15 [size =\"29811712\"]\n  10 -> 16 [size =\"29811712\"]\n  10 -> 17 [size =\"29811712\"]\n  10 -> 20 [size =\"29811712\"]\n  11 [size=\"72935424\", alpha=\"0.13\", expect_size=\"36467712\"] \n  11 -> 16 [size =\"36467712\"]\n  11 -> 18 [size =\"36467712\"]\n  11 -> 20 [size =\"36467712\"]\n  12 [size=\"32702464\", alpha=\"0.02\", expect_size=\"16351232\"] \n  12 -> 15 [size =\"16351232\"]\n  12 -> 16 [size =\"16351232\"]\n  12 -> 17 [size =\"16351232\"]\n  12 -> 18 [size =\"16351232\"]\n  12 -> 20 [size =\"16351232\"]\n  13 [size=\"35940352\", alpha=\"0.20\", expect_size=\"17970176\"] \n  13 -> 16 [size =\"17970176\"]\n  13 -> 17 [size =\"17970176\"]\n  13 -> 18 [size =\"17970176\"]\n  13 -> 20 [size =\"17970176\"]\n  14 [size=\"94246912\", alpha=\"0.13\", expect_size=\"47123456\"] \n  15 [size=\"80558080\", alpha=\"0.15\", expect_size=\"40279040\"] \n  15 -> 21 [size =\"40279040\"]\n  15 -> 26 [size =\"40279040\"]\n  15 -> 27 [size =\"40279040\"]\n  16 [size=\"73023488\", alpha=\"0.18\", expect_size=\"36511744\"] \n  16 -> 21 [size =\"36511744\"]\n  16 -> 25 [size =\"36511744\"]\n  16 -> 26 [size =\"36511744\"]\n  16 -> 27 [size =\"36511744\"]\n  17 [size=\"53749760\", alpha=\"0.15\", expect_size=\"26874880\"] \n  17 -> 26 [size =\"26874880\"]\n  18 [size=\"54822912\", alpha=\"0.06\", expect_size=\"27411456\"] \n  18 -> 22 [size =\"27411456\"]\n  18 -> 25 [size =\"27411456\"]\n  18 -> 26 [size =\"27411456\"]\n  18 -> 27 [size =\"27411456\"]\n  19 [size=\"32380928\", alpha=\"0.05\", expect_size=\"16190464\"] \n  19 -> 24 [size =\"16190464\"]\n  19 -> 25 [size =\"16190464\"]\n  19 -> 26 [size =\"16190464\"]\n  19 -> 27 [size =\"16190464\"]\n  20 [size=\"58449920\", alpha=\"0.13\", expect_size=\"29224960\"] \n  20 -> 23 [size =\"29224960\"]\n  20 -> 24 [size =\"29224960\"]\n  20 -> 25 [size =\"29224960\"]\n  20 -> 26 [size =\"29224960\"]\n  20 -> 27 [size =\"29224960\"]\n  21 [size=\"59930624\", alpha=\"0.01\", expect_size=\"29965312\"] \n  21 -> 31 [size =\"29965312\"]\n  21 -> 33 [size =\"29965312\"]\n  21 -> 33 [size =\"29965312\"]\n  21 -> 34 [size =\"29965312\"]\n  22 [size=\"27449344\", alpha=\"0.18\", expect_size=\"13724672\"] \n  22 -> 28 [size =\"13724672\"]\n  22 -> 29 [size =\"13724672\"]\n  22 -> 30 [size =\"13724672\"]\n  22 -> 31 [size =\"13724672\"]\n  22 -> 33 [size =\"13724672\"]\n  22 -> 34 [size =\"13724672\"]\n  23 [size=\"37228544\", alpha=\"0.09\", expect_size=\"18614272\"] \n  23 -> 28 [size =\"18614272\"]\n  23 -> 30 [size =\"18614272\"]\n  23 -> 31 [size =\"18614272\"]\n  23 -> 32 [size =\"18614272\"]\n  23 -> 33 [size =\"18614272\"]\n  24 [size=\"36644864\", alpha=\"0.10\", expect_size=\"18322432\"] \n  24 -> 28 [size =\"18322432\"]\n  24 -> 29 [size =\"18322432\"]\n  24 -> 30 [size =\"18322432\"]\n  24 -> 33 [size =\"18322432\"]\n  24 -> 34 [size =\"18322432\"]\n  25 [size=\"97191936\", alpha=\"0.18\", expect_size=\"48595968\"] \n  25 -> 28 [size =\"48595968\"]\n  25 -> 31 [size =\"48595968\"]\n  25 -> 33 [size =\"48595968\"]\n  25 -> 34 [size =\"48595968\"]\n  25 -> 34 [size =\"48595968\"]\n  26 [size=\"73101312\", alpha=\"0.02\", expect_size=\"36550656\"] \n  26 -> 28 [size =\"36550656\"]\n  26 -> 34 [size =\"36550656\"]\n  27 [size=\"65452032\", alpha=\"0.17\", expect_size=\"32726016\"] \n  27 -> 28 [size =\"32726016\"]\n  27 -> 29 [size =\"32726016\"]\n  27 -> 33 [size =\"32726016\"]\n  27 -> 34 [size =\"32726016\"]\n  28 [size=\"39921664\", alpha=\"0.12\", expect_size=\"19960832\"] \n  28 -> 36 [size =\"19960832\"]\n  28 -> 38 [size =\"19960832\"]\n  28 -> 39 [size =\"19960832\"]\n  29 [size=\"70019072\", alpha=\"0.07\", expect_size=\"35009536\"] \n  29 -> 38 [size =\"35009536\"]\n  29 -> 39 [size =\"35009536\"]\n  29 -> 39 [size =\"35009536\"]\n  30 [size=\"93530112\", alpha=\"0.12\", expect_size=\"46765056\"] \n  30 -> 38 [size =\"46765056\"]\n  30 -> 39 [size =\"46765056\"]\n  30 -> 40 [size =\"46765056\"]\n  31 [size=\"59035648\", alpha=\"0.11\", expect_size=\"29517824\"] \n  31 -> 35 [size =\"29517824\"]\n  31 -> 36 [size =\"29517824\"]\n  31 -> 37 [size =\"29517824\"]\n  31 -> 39 [size =\"29517824\"]\n  32 [size=\"64092160\", alpha=\"0.14\", expect_size=\"32046080\"] \n  32 -> 36 [size =\"32046080\"]\n  32 -> 37 [size =\"32046080\"]\n  32 -> 39 [size =\"32046080\"]\n  33 [size=\"56342528\", alpha=\"0.03\", expect_size=\"28171264\"] \n  33 -> 37 [size =\"28171264\"]\n  33 -> 37 [size =\"28171264\"]\n  33 -> 38 [size =\"28171264\"]\n  33 -> 39 [size =\"28171264\"]\n  34 [size=\"97802240\", alpha=\"0.09\", expect_size=\"48901120\"] \n  34 -> 38 [size =\"48901120\"]\n  34 -> 40 [size =\"48901120\"]\n  35 [size=\"52793344\", alpha=\"0.11\", expect_size=\"26396672\"] \n  35 -> 44 [size =\"26396672\"]\n  36 [size=\"42559488\", alpha=\"0.05\", expect_size=\"21279744\"] \n  36 -> 41 [size =\"21279744\"]\n  36 -> 44 [size =\"21279744\"]\n  36 -> 45 [size =\"21279744\"]\n  36 -> 46 [size =\"21279744\"]\n  37 [size=\"50728960\", alpha=\"0.09\", expect_size=\"25364480\"] \n  37 -> 42 [size =\"25364480\"]\n  37 -> 43 [size =\"25364480\"]\n  37 -> 46 [size =\"25364480\"]\n  38 [size=\"34899968\", alpha=\"0.02\", expect_size=\"17449984\"] \n  38 -> 43 [size =\"17449984\"]\n  38 -> 46 [size =\"17449984\"]\n  39 [size=\"90263552\", alpha=\"0.20\", expect_size=\"45131776\"] \n  39 -> 43 [size =\"45131776\"]\n  39 -> 46 [size =\"45131776\"]\n  39 -> 47 [size =\"45131776\"]\n  40 [size=\"27502592\", alpha=\"0.08\", expect_size=\"13751296\"] \n  40 -> 41 [size =\"13751296\"]\n  40 -> 43 [size =\"13751296\"]\n  40 -> 46 [size =\"13751296\"]\n  40 -> 47 [size =\"13751296\"]\n  41 [size=\"84496384\", alpha=\"0.06\", expect_size=\"42248192\"] \n  41 -> 48 [size =\"42248192\"]\n  42 [size=\"40581120\", alpha=\"0.08\", expect_size=\"20290560\"] \n  42 -> 48 [size =\"20290560\"]\n  42 -> 49 [size =\"20290560\"]\n  43 [size=\"12347392\", alpha=\"0.16\", expect_size=\"6173696\"] \n  43 -> 48 [size =\"6173696\"]\n  43 -> 49 [size =\"6173696\"]\n  43 -> 50 [size =\"6173696\"]\n  44 [size=\"25251840\", alpha=\"0.09\", expect_size=\"12625920\"] \n  44 -> 48 [size =\"12625920\"]\n  44 -> 49 [size =\"12625920\"]\n  45 [size=\"68681728\", alpha=\"0.01\", expect_size=\"34340864\"] \n  45 -> 48 [size =\"34340864\"]\n  45 -> 49 [size =\"34340864\"]\n  46 [size=\"23971840\", alpha=\"0.06\", expect_size=\"11985920\"] \n  46 -> 49 [size =\"11985920\"]\n  46 -> 49 [size =\"11985920\"]\n  46 -> 50 [size =\"11985920\"]\n  47 [size=\"48029696\", alpha=\"0.02\", expect_size=\"24014848\"] \n  47 -> 48 [size =\"24014848\"]\n  48 [size=\"89747456\", alpha=\"0.05\", expect_size=\"44873728\"] \n  49 [size=\"99096576\", alpha=\"0.00\", expect_size=\"49548288\"] \n  50 [size=\"97968128\", alpha=\"0.13\", expect_size=\"48984064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.51.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107758080\", alpha=\"0.04\", expect_size=\"43103232\"] \n  1 -> 2 [size =\"43103232\"]\n  2 [size=\"24645120\", alpha=\"0.16\", expect_size=\"9858048\"] \n  2 -> 3 [size =\"9858048\"]\n  3 [size=\"109368320\", alpha=\"0.19\", expect_size=\"43747328\"] \n  3 -> 4 [size =\"43747328\"]\n  4 [size=\"127444480\", alpha=\"0.15\", expect_size=\"50977792\"] \n  4 -> 5 [size =\"50977792\"]\n  5 [size=\"22735360\", alpha=\"0.09\", expect_size=\"9094144\"] \n  5 -> 6 [size =\"9094144\"]\n  6 [size=\"52989440\", alpha=\"0.11\", expect_size=\"21195776\"] \n  6 -> 7 [size =\"21195776\"]\n  7 [size=\"18280960\", alpha=\"0.15\", expect_size=\"7312384\"] \n  7 -> 8 [size =\"7312384\"]\n  8 [size=\"77332480\", alpha=\"0.14\", expect_size=\"30932992\"] \n  8 -> 9 [size =\"30932992\"]\n  9 [size=\"104872960\", alpha=\"0.06\", expect_size=\"41949184\"] \n  9 -> 10 [size =\"41949184\"]\n  10 [size=\"107448320\", alpha=\"0.19\", expect_size=\"42979328\"] \n  10 -> 11 [size =\"42979328\"]\n  11 [size=\"111088640\", alpha=\"0.11\", expect_size=\"44435456\"] \n  11 -> 12 [size =\"44435456\"]\n  12 [size=\"18168320\", alpha=\"0.12\", expect_size=\"7267328\"] \n  12 -> 13 [size =\"7267328\"]\n  13 [size=\"113666560\", alpha=\"0.03\", expect_size=\"45466624\"] \n  13 -> 14 [size =\"45466624\"]\n  14 [size=\"109862400\", alpha=\"0.15\", expect_size=\"43944960\"] \n  14 -> 15 [size =\"43944960\"]\n  15 [size=\"78881280\", alpha=\"0.15\", expect_size=\"31552512\"] \n  15 -> 16 [size =\"31552512\"]\n  16 [size=\"13137920\", alpha=\"0.10\", expect_size=\"5255168\"] \n  16 -> 17 [size =\"5255168\"]\n  17 [size=\"75952640\", alpha=\"0.06\", expect_size=\"30381056\"] \n  17 -> 18 [size =\"30381056\"]\n  18 [size=\"46740480\", alpha=\"0.02\", expect_size=\"18696192\"] \n  18 -> 19 [size =\"18696192\"]\n  19 [size=\"14164480\", alpha=\"0.13\", expect_size=\"5665792\"] \n  19 -> 20 [size =\"5665792\"]\n  20 [size=\"51325440\", alpha=\"0.16\", expect_size=\"20530176\"] \n  20 -> 21 [size =\"20530176\"]\n  21 [size=\"48069120\", alpha=\"0.16\", expect_size=\"19227648\"] \n  21 -> 22 [size =\"19227648\"]\n  22 [size=\"110602240\", alpha=\"0.17\", expect_size=\"44240896\"] \n  22 -> 23 [size =\"44240896\"]\n  23 [size=\"66007040\", alpha=\"0.15\", expect_size=\"26402816\"] \n  23 -> 24 [size =\"26402816\"]\n  24 [size=\"82877440\", alpha=\"0.12\", expect_size=\"33150976\"] \n  24 -> 25 [size =\"33150976\"]\n  25 [size=\"53580800\", alpha=\"0.11\", expect_size=\"21432320\"] \n  25 -> 26 [size =\"21432320\"]\n  26 [size=\"24122880\", alpha=\"0.17\", expect_size=\"9649152\"] \n  26 -> 27 [size =\"9649152\"]\n  27 [size=\"85811200\", alpha=\"0.03\", expect_size=\"34324480\"] \n  27 -> 28 [size =\"34324480\"]\n  28 [size=\"119777280\", alpha=\"0.01\", expect_size=\"47910912\"] \n  28 -> 29 [size =\"47910912\"]\n  29 [size=\"16289280\", alpha=\"0.13\", expect_size=\"6515712\"] \n  29 -> 30 [size =\"6515712\"]\n  30 [size=\"92628480\", alpha=\"0.02\", expect_size=\"37051392\"] \n  30 -> 31 [size =\"37051392\"]\n  31 [size=\"71488000\", alpha=\"0.08\", expect_size=\"28595200\"] \n  31 -> 32 [size =\"28595200\"]\n  32 [size=\"47523840\", alpha=\"0.14\", expect_size=\"19009536\"] \n  32 -> 33 [size =\"19009536\"]\n  33 [size=\"32271360\", alpha=\"0.18\", expect_size=\"12908544\"] \n  33 -> 34 [size =\"12908544\"]\n  34 [size=\"121994240\", alpha=\"0.18\", expect_size=\"48797696\"] \n  34 -> 35 [size =\"48797696\"]\n  35 [size=\"77137920\", alpha=\"0.08\", expect_size=\"30855168\"] \n  35 -> 36 [size =\"30855168\"]\n  36 [size=\"25297920\", alpha=\"0.19\", expect_size=\"10119168\"] \n  36 -> 37 [size =\"10119168\"]\n  37 [size=\"124316160\", alpha=\"0.01\", expect_size=\"49726464\"] \n  37 -> 38 [size =\"49726464\"]\n  38 [size=\"25479680\", alpha=\"0.08\", expect_size=\"10191872\"] \n  38 -> 39 [size =\"10191872\"]\n  39 [size=\"28943360\", alpha=\"0.16\", expect_size=\"11577344\"] \n  39 -> 40 [size =\"11577344\"]\n  40 [size=\"108505600\", alpha=\"0.10\", expect_size=\"43402240\"] \n  40 -> 41 [size =\"43402240\"]\n  41 [size=\"122585600\", alpha=\"0.10\", expect_size=\"49034240\"] \n  41 -> 42 [size =\"49034240\"]\n  42 [size=\"51194880\", alpha=\"0.06\", expect_size=\"20477952\"] \n  42 -> 43 [size =\"20477952\"]\n  43 [size=\"17367040\", alpha=\"0.12\", expect_size=\"6946816\"] \n  43 -> 44 [size =\"6946816\"]\n  44 [size=\"121658880\", alpha=\"0.09\", expect_size=\"48663552\"] \n  44 -> 45 [size =\"48663552\"]\n  45 [size=\"106931200\", alpha=\"0.13\", expect_size=\"42772480\"] \n  45 -> 46 [size =\"42772480\"]\n  46 [size=\"38965760\", alpha=\"0.19\", expect_size=\"15586304\"] \n  46 -> 47 [size =\"15586304\"]\n  47 [size=\"35752960\", alpha=\"0.17\", expect_size=\"14301184\"] \n  47 -> 48 [size =\"14301184\"]\n  48 [size=\"42176000\", alpha=\"0.14\", expect_size=\"16870400\"] \n  48 -> 49 [size =\"16870400\"]\n  49 [size=\"91870720\", alpha=\"0.11\", expect_size=\"36748288\"] \n  49 -> 50 [size =\"36748288\"]\n  50 [size=\"67932160\", alpha=\"0.01\", expect_size=\"27172864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.52.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"80867328\", alpha=\"0.12\", expect_size=\"40433664\"] \n  1 -> 6 [size =\"40433664\"]\n  2 [size=\"65316864\", alpha=\"0.15\", expect_size=\"32658432\"] \n  2 -> 8 [size =\"32658432\"]\n  2 -> 9 [size =\"32658432\"]\n  3 [size=\"20828160\", alpha=\"0.17\", expect_size=\"10414080\"] \n  3 -> 6 [size =\"10414080\"]\n  3 -> 9 [size =\"10414080\"]\n  3 -> 10 [size =\"10414080\"]\n  4 [size=\"20185088\", alpha=\"0.20\", expect_size=\"10092544\"] \n  4 -> 8 [size =\"10092544\"]\n  5 [size=\"15640576\", alpha=\"0.14\", expect_size=\"7820288\"] \n  5 -> 6 [size =\"7820288\"]\n  5 -> 7 [size =\"7820288\"]\n  5 -> 11 [size =\"7820288\"]\n  5 -> 12 [size =\"7820288\"]\n  6 [size=\"37646336\", alpha=\"0.14\", expect_size=\"18823168\"] \n  6 -> 14 [size =\"18823168\"]\n  6 -> 15 [size =\"18823168\"]\n  6 -> 16 [size =\"18823168\"]\n  6 -> 17 [size =\"18823168\"]\n  6 -> 19 [size =\"18823168\"]\n  7 [size=\"91860992\", alpha=\"0.17\", expect_size=\"45930496\"] \n  7 -> 16 [size =\"45930496\"]\n  7 -> 18 [size =\"45930496\"]\n  7 -> 19 [size =\"45930496\"]\n  8 [size=\"79513600\", alpha=\"0.01\", expect_size=\"39756800\"] \n  8 -> 18 [size =\"39756800\"]\n  9 [size=\"44742656\", alpha=\"0.16\", expect_size=\"22371328\"] \n  9 -> 15 [size =\"22371328\"]\n  9 -> 18 [size =\"22371328\"]\n  10 [size=\"21692416\", alpha=\"0.20\", expect_size=\"10846208\"] \n  10 -> 18 [size =\"10846208\"]\n  10 -> 18 [size =\"10846208\"]\n  11 [size=\"51200000\", alpha=\"0.19\", expect_size=\"25600000\"] \n  11 -> 13 [size =\"25600000\"]\n  11 -> 16 [size =\"25600000\"]\n  11 -> 17 [size =\"25600000\"]\n  12 [size=\"13594624\", alpha=\"0.10\", expect_size=\"6797312\"] \n  12 -> 13 [size =\"6797312\"]\n  12 -> 14 [size =\"6797312\"]\n  12 -> 15 [size =\"6797312\"]\n  12 -> 16 [size =\"6797312\"]\n  12 -> 17 [size =\"6797312\"]\n  13 [size=\"82438144\", alpha=\"0.14\", expect_size=\"41219072\"] \n  13 -> 20 [size =\"41219072\"]\n  13 -> 21 [size =\"41219072\"]\n  13 -> 22 [size =\"41219072\"]\n  13 -> 23 [size =\"41219072\"]\n  13 -> 24 [size =\"41219072\"]\n  13 -> 25 [size =\"41219072\"]\n  13 -> 26 [size =\"41219072\"]\n  14 [size=\"66406400\", alpha=\"0.02\", expect_size=\"33203200\"] \n  14 -> 21 [size =\"33203200\"]\n  14 -> 22 [size =\"33203200\"]\n  14 -> 22 [size =\"33203200\"]\n  14 -> 24 [size =\"33203200\"]\n  14 -> 25 [size =\"33203200\"]\n  14 -> 26 [size =\"33203200\"]\n  15 [size=\"65040384\", alpha=\"0.08\", expect_size=\"32520192\"] \n  15 -> 20 [size =\"32520192\"]\n  15 -> 23 [size =\"32520192\"]\n  16 [size=\"37812224\", alpha=\"0.10\", expect_size=\"18906112\"] \n  16 -> 23 [size =\"18906112\"]\n  16 -> 26 [size =\"18906112\"]\n  17 [size=\"102856704\", alpha=\"0.01\", expect_size=\"51428352\"] \n  17 -> 20 [size =\"51428352\"]\n  17 -> 21 [size =\"51428352\"]\n  17 -> 22 [size =\"51428352\"]\n  17 -> 23 [size =\"51428352\"]\n  17 -> 25 [size =\"51428352\"]\n  17 -> 27 [size =\"51428352\"]\n  18 [size=\"88989696\", alpha=\"0.11\", expect_size=\"44494848\"] \n  18 -> 21 [size =\"44494848\"]\n  18 -> 22 [size =\"44494848\"]\n  18 -> 23 [size =\"44494848\"]\n  18 -> 26 [size =\"44494848\"]\n  18 -> 27 [size =\"44494848\"]\n  18 -> 27 [size =\"44494848\"]\n  19 [size=\"91985920\", alpha=\"0.13\", expect_size=\"45992960\"] \n  19 -> 20 [size =\"45992960\"]\n  19 -> 24 [size =\"45992960\"]\n  19 -> 25 [size =\"45992960\"]\n  19 -> 26 [size =\"45992960\"]\n  19 -> 27 [size =\"45992960\"]\n  20 [size=\"74942464\", alpha=\"0.01\", expect_size=\"37471232\"] \n  20 -> 29 [size =\"37471232\"]\n  20 -> 30 [size =\"37471232\"]\n  20 -> 33 [size =\"37471232\"]\n  20 -> 34 [size =\"37471232\"]\n  21 [size=\"74438656\", alpha=\"0.03\", expect_size=\"37219328\"] \n  21 -> 28 [size =\"37219328\"]\n  21 -> 29 [size =\"37219328\"]\n  21 -> 30 [size =\"37219328\"]\n  21 -> 34 [size =\"37219328\"]\n  22 [size=\"71000064\", alpha=\"0.18\", expect_size=\"35500032\"] \n  22 -> 29 [size =\"35500032\"]\n  22 -> 31 [size =\"35500032\"]\n  22 -> 34 [size =\"35500032\"]\n  22 -> 35 [size =\"35500032\"]\n  23 [size=\"24256512\", alpha=\"0.14\", expect_size=\"12128256\"] \n  23 -> 28 [size =\"12128256\"]\n  23 -> 29 [size =\"12128256\"]\n  23 -> 34 [size =\"12128256\"]\n  24 [size=\"92121088\", alpha=\"0.13\", expect_size=\"46060544\"] \n  24 -> 28 [size =\"46060544\"]\n  24 -> 29 [size =\"46060544\"]\n  24 -> 30 [size =\"46060544\"]\n  24 -> 32 [size =\"46060544\"]\n  24 -> 34 [size =\"46060544\"]\n  25 [size=\"103706624\", alpha=\"0.13\", expect_size=\"51853312\"] \n  26 [size=\"49207296\", alpha=\"0.18\", expect_size=\"24603648\"] \n  26 -> 28 [size =\"24603648\"]\n  26 -> 30 [size =\"24603648\"]\n  26 -> 31 [size =\"24603648\"]\n  27 [size=\"95524864\", alpha=\"0.01\", expect_size=\"47762432\"] \n  27 -> 30 [size =\"47762432\"]\n  27 -> 34 [size =\"47762432\"]\n  28 [size=\"100644864\", alpha=\"0.18\", expect_size=\"50322432\"] \n  28 -> 37 [size =\"50322432\"]\n  28 -> 39 [size =\"50322432\"]\n  28 -> 41 [size =\"50322432\"]\n  29 [size=\"60334080\", alpha=\"0.03\", expect_size=\"30167040\"] \n  29 -> 37 [size =\"30167040\"]\n  29 -> 41 [size =\"30167040\"]\n  29 -> 41 [size =\"30167040\"]\n  30 [size=\"25966592\", alpha=\"0.10\", expect_size=\"12983296\"] \n  30 -> 37 [size =\"12983296\"]\n  30 -> 41 [size =\"12983296\"]\n  31 [size=\"28682240\", alpha=\"0.06\", expect_size=\"14341120\"] \n  31 -> 38 [size =\"14341120\"]\n  31 -> 40 [size =\"14341120\"]\n  32 [size=\"44492800\", alpha=\"0.02\", expect_size=\"22246400\"] \n  32 -> 41 [size =\"22246400\"]\n  33 [size=\"33855488\", alpha=\"0.13\", expect_size=\"16927744\"] \n  34 [size=\"101488640\", alpha=\"0.17\", expect_size=\"50744320\"] \n  35 [size=\"68347904\", alpha=\"0.12\", expect_size=\"34173952\"] \n  35 -> 36 [size =\"34173952\"]\n  36 [size=\"33961984\", alpha=\"0.12\", expect_size=\"16980992\"] \n  36 -> 42 [size =\"16980992\"]\n  37 [size=\"25487360\", alpha=\"0.13\", expect_size=\"12743680\"] \n  37 -> 42 [size =\"12743680\"]\n  37 -> 45 [size =\"12743680\"]\n  38 [size=\"29935616\", alpha=\"0.10\", expect_size=\"14967808\"] \n  38 -> 42 [size =\"14967808\"]\n  38 -> 43 [size =\"14967808\"]\n  38 -> 44 [size =\"14967808\"]\n  38 -> 45 [size =\"14967808\"]\n  38 -> 46 [size =\"14967808\"]\n  39 [size=\"21956608\", alpha=\"0.04\", expect_size=\"10978304\"] \n  39 -> 42 [size =\"10978304\"]\n  39 -> 43 [size =\"10978304\"]\n  39 -> 44 [size =\"10978304\"]\n  39 -> 45 [size =\"10978304\"]\n  40 [size=\"35813376\", alpha=\"0.12\", expect_size=\"17906688\"] \n  40 -> 42 [size =\"17906688\"]\n  40 -> 44 [size =\"17906688\"]\n  40 -> 46 [size =\"17906688\"]\n  41 [size=\"82712576\", alpha=\"0.13\", expect_size=\"41356288\"] \n  41 -> 43 [size =\"41356288\"]\n  42 [size=\"14624768\", alpha=\"0.08\", expect_size=\"7312384\"] \n  42 -> 49 [size =\"7312384\"]\n  43 [size=\"23402496\", alpha=\"0.05\", expect_size=\"11701248\"] \n  43 -> 48 [size =\"11701248\"]\n  43 -> 49 [size =\"11701248\"]\n  43 -> 50 [size =\"11701248\"]\n  44 [size=\"86628352\", alpha=\"0.19\", expect_size=\"43314176\"] \n  44 -> 47 [size =\"43314176\"]\n  44 -> 49 [size =\"43314176\"]\n  45 [size=\"71479296\", alpha=\"0.14\", expect_size=\"35739648\"] \n  45 -> 47 [size =\"35739648\"]\n  46 [size=\"32507904\", alpha=\"0.16\", expect_size=\"16253952\"] \n  46 -> 47 [size =\"16253952\"]\n  46 -> 49 [size =\"16253952\"]\n  47 [size=\"91416576\", alpha=\"0.16\", expect_size=\"45708288\"] \n  48 [size=\"57458688\", alpha=\"0.16\", expect_size=\"28729344\"] \n  49 [size=\"103512064\", alpha=\"0.06\", expect_size=\"51756032\"] \n  50 [size=\"27963392\", alpha=\"0.20\", expect_size=\"13981696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.53.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"120193707\", alpha=\"0.03\", expect_size=\"36058112\"] \n  1 -> 33 [size =\"36058112\"]\n  1 -> 35 [size =\"36058112\"]\n  1 -> 36 [size =\"36058112\"]\n  1 -> 37 [size =\"36058112\"]\n  1 -> 46 [size =\"36058112\"]\n  2 [size=\"60852907\", alpha=\"0.18\", expect_size=\"18255872\"] \n  2 -> 35 [size =\"18255872\"]\n  2 -> 37 [size =\"18255872\"]\n  2 -> 39 [size =\"18255872\"]\n  2 -> 49 [size =\"18255872\"]\n  3 [size=\"152999253\", alpha=\"0.02\", expect_size=\"45899776\"] \n  3 -> 34 [size =\"45899776\"]\n  3 -> 39 [size =\"45899776\"]\n  3 -> 48 [size =\"45899776\"]\n  3 -> 50 [size =\"45899776\"]\n  4 [size=\"160686080\", alpha=\"0.07\", expect_size=\"48205824\"] \n  4 -> 40 [size =\"48205824\"]\n  4 -> 42 [size =\"48205824\"]\n  5 [size=\"111766187\", alpha=\"0.14\", expect_size=\"33529856\"] \n  5 -> 34 [size =\"33529856\"]\n  5 -> 35 [size =\"33529856\"]\n  5 -> 39 [size =\"33529856\"]\n  5 -> 40 [size =\"33529856\"]\n  5 -> 46 [size =\"33529856\"]\n  5 -> 49 [size =\"33529856\"]\n  5 -> 50 [size =\"33529856\"]\n  6 [size=\"117995520\", alpha=\"0.06\", expect_size=\"35398656\"] \n  6 -> 33 [size =\"35398656\"]\n  6 -> 37 [size =\"35398656\"]\n  6 -> 38 [size =\"35398656\"]\n  6 -> 40 [size =\"35398656\"]\n  6 -> 44 [size =\"35398656\"]\n  6 -> 46 [size =\"35398656\"]\n  6 -> 49 [size =\"35398656\"]\n  7 [size=\"128884053\", alpha=\"0.02\", expect_size=\"38665216\"] \n  7 -> 36 [size =\"38665216\"]\n  7 -> 40 [size =\"38665216\"]\n  7 -> 42 [size =\"38665216\"]\n  7 -> 47 [size =\"38665216\"]\n  8 [size=\"23825067\", alpha=\"0.13\", expect_size=\"7147520\"] \n  8 -> 40 [size =\"7147520\"]\n  8 -> 45 [size =\"7147520\"]\n  8 -> 48 [size =\"7147520\"]\n  8 -> 49 [size =\"7147520\"]\n  9 [size=\"142305280\", alpha=\"0.11\", expect_size=\"42691584\"] \n  9 -> 36 [size =\"42691584\"]\n  9 -> 42 [size =\"42691584\"]\n  9 -> 48 [size =\"42691584\"]\n  10 [size=\"76079787\", alpha=\"0.19\", expect_size=\"22823936\"] \n  10 -> 33 [size =\"22823936\"]\n  10 -> 34 [size =\"22823936\"]\n  10 -> 36 [size =\"22823936\"]\n  10 -> 38 [size =\"22823936\"]\n  10 -> 40 [size =\"22823936\"]\n  10 -> 42 [size =\"22823936\"]\n  10 -> 43 [size =\"22823936\"]\n  10 -> 50 [size =\"22823936\"]\n  11 [size=\"148360533\", alpha=\"0.07\", expect_size=\"44508160\"] \n  11 -> 39 [size =\"44508160\"]\n  11 -> 41 [size =\"44508160\"]\n  11 -> 42 [size =\"44508160\"]\n  11 -> 46 [size =\"44508160\"]\n  11 -> 48 [size =\"44508160\"]\n  12 [size=\"168151040\", alpha=\"0.15\", expect_size=\"50445312\"] \n  12 -> 33 [size =\"50445312\"]\n  12 -> 36 [size =\"50445312\"]\n  12 -> 39 [size =\"50445312\"]\n  12 -> 40 [size =\"50445312\"]\n  12 -> 41 [size =\"50445312\"]\n  12 -> 42 [size =\"50445312\"]\n  12 -> 44 [size =\"50445312\"]\n  12 -> 46 [size =\"50445312\"]\n  12 -> 48 [size =\"50445312\"]\n  12 -> 50 [size =\"50445312\"]\n  13 [size=\"153204053\", alpha=\"0.18\", expect_size=\"45961216\"] \n  13 -> 33 [size =\"45961216\"]\n  13 -> 35 [size =\"45961216\"]\n  13 -> 38 [size =\"45961216\"]\n  13 -> 41 [size =\"45961216\"]\n  13 -> 43 [size =\"45961216\"]\n  13 -> 44 [size =\"45961216\"]\n  13 -> 44 [size =\"45961216\"]\n  13 -> 48 [size =\"45961216\"]\n  14 [size=\"172550827\", alpha=\"0.15\", expect_size=\"51765248\"] \n  14 -> 33 [size =\"51765248\"]\n  14 -> 35 [size =\"51765248\"]\n  14 -> 40 [size =\"51765248\"]\n  14 -> 42 [size =\"51765248\"]\n  14 -> 44 [size =\"51765248\"]\n  14 -> 50 [size =\"51765248\"]\n  15 [size=\"68099413\", alpha=\"0.08\", expect_size=\"20429824\"] \n  15 -> 33 [size =\"20429824\"]\n  15 -> 35 [size =\"20429824\"]\n  15 -> 43 [size =\"20429824\"]\n  15 -> 44 [size =\"20429824\"]\n  15 -> 45 [size =\"20429824\"]\n  15 -> 46 [size =\"20429824\"]\n  15 -> 49 [size =\"20429824\"]\n  16 [size=\"20384427\", alpha=\"0.04\", expect_size=\"6115328\"] \n  16 -> 34 [size =\"6115328\"]\n  16 -> 35 [size =\"6115328\"]\n  16 -> 40 [size =\"6115328\"]\n  16 -> 46 [size =\"6115328\"]\n  16 -> 50 [size =\"6115328\"]\n  17 [size=\"69625173\", alpha=\"0.02\", expect_size=\"20887552\"] \n  17 -> 34 [size =\"20887552\"]\n  17 -> 35 [size =\"20887552\"]\n  17 -> 40 [size =\"20887552\"]\n  17 -> 41 [size =\"20887552\"]\n  17 -> 42 [size =\"20887552\"]\n  17 -> 48 [size =\"20887552\"]\n  18 [size=\"88760320\", alpha=\"0.03\", expect_size=\"26628096\"] \n  18 -> 37 [size =\"26628096\"]\n  18 -> 43 [size =\"26628096\"]\n  18 -> 49 [size =\"26628096\"]\n  19 [size=\"34225493\", alpha=\"0.02\", expect_size=\"10267648\"] \n  19 -> 36 [size =\"10267648\"]\n  19 -> 41 [size =\"10267648\"]\n  19 -> 48 [size =\"10267648\"]\n  20 [size=\"119896747\", alpha=\"0.08\", expect_size=\"35969024\"] \n  20 -> 33 [size =\"35969024\"]\n  20 -> 36 [size =\"35969024\"]\n  20 -> 41 [size =\"35969024\"]\n  20 -> 49 [size =\"35969024\"]\n  20 -> 50 [size =\"35969024\"]\n  21 [size=\"110701227\", alpha=\"0.06\", expect_size=\"33210368\"] \n  21 -> 33 [size =\"33210368\"]\n  21 -> 35 [size =\"33210368\"]\n  21 -> 39 [size =\"33210368\"]\n  21 -> 41 [size =\"33210368\"]\n  21 -> 50 [size =\"33210368\"]\n  22 [size=\"169082880\", alpha=\"0.10\", expect_size=\"50724864\"] \n  22 -> 33 [size =\"50724864\"]\n  22 -> 35 [size =\"50724864\"]\n  22 -> 36 [size =\"50724864\"]\n  22 -> 40 [size =\"50724864\"]\n  22 -> 41 [size =\"50724864\"]\n  22 -> 44 [size =\"50724864\"]\n  23 [size=\"133041493\", alpha=\"0.11\", expect_size=\"39912448\"] \n  23 -> 33 [size =\"39912448\"]\n  23 -> 34 [size =\"39912448\"]\n  23 -> 35 [size =\"39912448\"]\n  23 -> 36 [size =\"39912448\"]\n  23 -> 39 [size =\"39912448\"]\n  23 -> 40 [size =\"39912448\"]\n  23 -> 41 [size =\"39912448\"]\n  23 -> 43 [size =\"39912448\"]\n  23 -> 44 [size =\"39912448\"]\n  23 -> 45 [size =\"39912448\"]\n  23 -> 46 [size =\"39912448\"]\n  23 -> 49 [size =\"39912448\"]\n  23 -> 50 [size =\"39912448\"]\n  24 [size=\"119220907\", alpha=\"0.10\", expect_size=\"35766272\"] \n  24 -> 34 [size =\"35766272\"]\n  24 -> 36 [size =\"35766272\"]\n  24 -> 44 [size =\"35766272\"]\n  24 -> 49 [size =\"35766272\"]\n  25 [size=\"81438720\", alpha=\"0.02\", expect_size=\"24431616\"] \n  25 -> 35 [size =\"24431616\"]\n  25 -> 44 [size =\"24431616\"]\n  25 -> 44 [size =\"24431616\"]\n  25 -> 46 [size =\"24431616\"]\n  25 -> 49 [size =\"24431616\"]\n  26 [size=\"144110933\", alpha=\"0.06\", expect_size=\"43233280\"] \n  26 -> 37 [size =\"43233280\"]\n  26 -> 40 [size =\"43233280\"]\n  26 -> 43 [size =\"43233280\"]\n  26 -> 46 [size =\"43233280\"]\n  26 -> 47 [size =\"43233280\"]\n  27 [size=\"17486507\", alpha=\"0.04\", expect_size=\"5245952\"] \n  27 -> 45 [size =\"5245952\"]\n  27 -> 46 [size =\"5245952\"]\n  27 -> 50 [size =\"5245952\"]\n  28 [size=\"34996907\", alpha=\"0.03\", expect_size=\"10499072\"] \n  28 -> 34 [size =\"10499072\"]\n  28 -> 35 [size =\"10499072\"]\n  28 -> 40 [size =\"10499072\"]\n  28 -> 41 [size =\"10499072\"]\n  28 -> 42 [size =\"10499072\"]\n  28 -> 44 [size =\"10499072\"]\n  28 -> 46 [size =\"10499072\"]\n  28 -> 48 [size =\"10499072\"]\n  29 [size=\"58432853\", alpha=\"0.18\", expect_size=\"17529856\"] \n  29 -> 41 [size =\"17529856\"]\n  29 -> 42 [size =\"17529856\"]\n  29 -> 46 [size =\"17529856\"]\n  29 -> 50 [size =\"17529856\"]\n  30 [size=\"76697600\", alpha=\"0.01\", expect_size=\"23009280\"] \n  30 -> 35 [size =\"23009280\"]\n  30 -> 36 [size =\"23009280\"]\n  30 -> 38 [size =\"23009280\"]\n  30 -> 41 [size =\"23009280\"]\n  30 -> 46 [size =\"23009280\"]\n  30 -> 49 [size =\"23009280\"]\n  31 [size=\"136854187\", alpha=\"0.20\", expect_size=\"41056256\"] \n  31 -> 42 [size =\"41056256\"]\n  31 -> 46 [size =\"41056256\"]\n  31 -> 49 [size =\"41056256\"]\n  32 [size=\"27047253\", alpha=\"0.18\", expect_size=\"8114176\"] \n  32 -> 36 [size =\"8114176\"]\n  32 -> 37 [size =\"8114176\"]\n  32 -> 41 [size =\"8114176\"]\n  32 -> 44 [size =\"8114176\"]\n  32 -> 46 [size =\"8114176\"]\n  32 -> 48 [size =\"8114176\"]\n  33 [size=\"105229653\", alpha=\"0.13\", expect_size=\"31568896\"] \n  34 [size=\"35058347\", alpha=\"0.09\", expect_size=\"10517504\"] \n  35 [size=\"117039787\", alpha=\"0.10\", expect_size=\"35111936\"] \n  36 [size=\"130891093\", alpha=\"0.12\", expect_size=\"39267328\"] \n  37 [size=\"19845120\", alpha=\"0.01\", expect_size=\"5953536\"] \n  38 [size=\"52599467\", alpha=\"0.19\", expect_size=\"15779840\"] \n  39 [size=\"78219947\", alpha=\"0.18\", expect_size=\"23465984\"] \n  40 [size=\"64245760\", alpha=\"0.11\", expect_size=\"19273728\"] \n  41 [size=\"69287253\", alpha=\"0.16\", expect_size=\"20786176\"] \n  42 [size=\"66938880\", alpha=\"0.20\", expect_size=\"20081664\"] \n  43 [size=\"50592427\", alpha=\"0.19\", expect_size=\"15177728\"] \n  44 [size=\"155979093\", alpha=\"0.10\", expect_size=\"46793728\"] \n  45 [size=\"66314240\", alpha=\"0.10\", expect_size=\"19894272\"] \n  46 [size=\"146790400\", alpha=\"0.06\", expect_size=\"44037120\"] \n  47 [size=\"85749760\", alpha=\"0.02\", expect_size=\"25724928\"] \n  48 [size=\"92624213\", alpha=\"0.20\", expect_size=\"27787264\"] \n  49 [size=\"81414827\", alpha=\"0.03\", expect_size=\"24424448\"] \n  50 [size=\"68870827\", alpha=\"0.14\", expect_size=\"20661248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.54.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"73813333\", alpha=\"0.11\", expect_size=\"22144000\"] \n  2 [size=\"62955520\", alpha=\"0.13\", expect_size=\"18886656\"] \n  2 -> 4 [size =\"18886656\"]\n  2 -> 6 [size =\"18886656\"]\n  3 [size=\"52322987\", alpha=\"0.05\", expect_size=\"15696896\"] \n  3 -> 5 [size =\"15696896\"]\n  3 -> 6 [size =\"15696896\"]\n  4 [size=\"97856853\", alpha=\"0.17\", expect_size=\"29357056\"] \n  5 [size=\"64634880\", alpha=\"0.09\", expect_size=\"19390464\"] \n  6 [size=\"142936747\", alpha=\"0.01\", expect_size=\"42881024\"] \n  6 -> 7 [size =\"42881024\"]\n  6 -> 8 [size =\"42881024\"]\n  7 [size=\"64300373\", alpha=\"0.08\", expect_size=\"19290112\"] \n  7 -> 10 [size =\"19290112\"]\n  7 -> 11 [size =\"19290112\"]\n  8 [size=\"166256640\", alpha=\"0.11\", expect_size=\"49876992\"] \n  8 -> 9 [size =\"49876992\"]\n  9 [size=\"79336107\", alpha=\"0.12\", expect_size=\"23800832\"] \n  9 -> 13 [size =\"23800832\"]\n  10 [size=\"168936107\", alpha=\"0.06\", expect_size=\"50680832\"] \n  10 -> 12 [size =\"50680832\"]\n  11 [size=\"35068587\", alpha=\"0.17\", expect_size=\"10520576\"] \n  11 -> 12 [size =\"10520576\"]\n  12 [size=\"120337067\", alpha=\"0.17\", expect_size=\"36101120\"] \n  12 -> 14 [size =\"36101120\"]\n  12 -> 16 [size =\"36101120\"]\n  13 [size=\"62136320\", alpha=\"0.14\", expect_size=\"18640896\"] \n  13 -> 15 [size =\"18640896\"]\n  14 [size=\"101700267\", alpha=\"0.05\", expect_size=\"30510080\"] \n  14 -> 17 [size =\"30510080\"]\n  14 -> 18 [size =\"30510080\"]\n  14 -> 19 [size =\"30510080\"]\n  15 [size=\"81162240\", alpha=\"0.00\", expect_size=\"24348672\"] \n  15 -> 19 [size =\"24348672\"]\n  16 [size=\"151033173\", alpha=\"0.10\", expect_size=\"45309952\"] \n  17 [size=\"162297173\", alpha=\"0.09\", expect_size=\"48689152\"] \n  17 -> 22 [size =\"48689152\"]\n  18 [size=\"66150400\", alpha=\"0.13\", expect_size=\"19845120\"] \n  18 -> 22 [size =\"19845120\"]\n  19 [size=\"152074240\", alpha=\"0.19\", expect_size=\"45622272\"] \n  19 -> 20 [size =\"45622272\"]\n  19 -> 21 [size =\"45622272\"]\n  20 [size=\"91132587\", alpha=\"0.18\", expect_size=\"27339776\"] \n  20 -> 23 [size =\"27339776\"]\n  20 -> 24 [size =\"27339776\"]\n  21 [size=\"139086507\", alpha=\"0.05\", expect_size=\"41725952\"] \n  22 [size=\"113967787\", alpha=\"0.17\", expect_size=\"34190336\"] \n  23 [size=\"90231467\", alpha=\"0.14\", expect_size=\"27069440\"] \n  23 -> 25 [size =\"27069440\"]\n  23 -> 26 [size =\"27069440\"]\n  24 [size=\"46267733\", alpha=\"0.01\", expect_size=\"13880320\"] \n  25 [size=\"83022507\", alpha=\"0.13\", expect_size=\"24906752\"] \n  25 -> 27 [size =\"24906752\"]\n  25 -> 28 [size =\"24906752\"]\n  25 -> 29 [size =\"24906752\"]\n  26 [size=\"84101120\", alpha=\"0.02\", expect_size=\"25230336\"] \n  27 [size=\"162645333\", alpha=\"0.17\", expect_size=\"48793600\"] \n  27 -> 30 [size =\"48793600\"]\n  27 -> 31 [size =\"48793600\"]\n  28 [size=\"78766080\", alpha=\"0.11\", expect_size=\"23629824\"] \n  28 -> 31 [size =\"23629824\"]\n  29 [size=\"27023360\", alpha=\"0.12\", expect_size=\"8107008\"] \n  30 [size=\"20944213\", alpha=\"0.13\", expect_size=\"6283264\"] \n  30 -> 33 [size =\"6283264\"]\n  31 [size=\"166171307\", alpha=\"0.16\", expect_size=\"49851392\"] \n  31 -> 32 [size =\"49851392\"]\n  32 [size=\"47185920\", alpha=\"0.12\", expect_size=\"14155776\"] \n  33 [size=\"24036693\", alpha=\"0.14\", expect_size=\"7211008\"] \n  33 -> 34 [size =\"7211008\"]\n  33 -> 35 [size =\"7211008\"]\n  34 [size=\"131580587\", alpha=\"0.06\", expect_size=\"39474176\"] \n  35 [size=\"135621973\", alpha=\"0.07\", expect_size=\"40686592\"] \n  35 -> 36 [size =\"40686592\"]\n  35 -> 37 [size =\"40686592\"]\n  36 [size=\"83319467\", alpha=\"0.04\", expect_size=\"24995840\"] \n  36 -> 39 [size =\"24995840\"]\n  37 [size=\"100136960\", alpha=\"0.00\", expect_size=\"30041088\"] \n  37 -> 38 [size =\"30041088\"]\n  38 [size=\"75612160\", alpha=\"0.03\", expect_size=\"22683648\"] \n  38 -> 40 [size =\"22683648\"]\n  38 -> 42 [size =\"22683648\"]\n  39 [size=\"158525440\", alpha=\"0.02\", expect_size=\"47557632\"] \n  39 -> 41 [size =\"47557632\"]\n  40 [size=\"96167253\", alpha=\"0.11\", expect_size=\"28850176\"] \n  40 -> 43 [size =\"28850176\"]\n  40 -> 44 [size =\"28850176\"]\n  41 [size=\"39997440\", alpha=\"0.15\", expect_size=\"11999232\"] \n  41 -> 44 [size =\"11999232\"]\n  41 -> 45 [size =\"11999232\"]\n  42 [size=\"164898133\", alpha=\"0.11\", expect_size=\"49469440\"] \n  43 [size=\"101870933\", alpha=\"0.17\", expect_size=\"30561280\"] \n  44 [size=\"52865707\", alpha=\"0.06\", expect_size=\"15859712\"] \n  44 -> 46 [size =\"15859712\"]\n  44 -> 47 [size =\"15859712\"]\n  45 [size=\"102103040\", alpha=\"0.04\", expect_size=\"30630912\"] \n  45 -> 48 [size =\"30630912\"]\n  46 [size=\"155985920\", alpha=\"0.10\", expect_size=\"46795776\"] \n  46 -> 49 [size =\"46795776\"]\n  46 -> 50 [size =\"46795776\"]\n  47 [size=\"33505280\", alpha=\"0.14\", expect_size=\"10051584\"] \n  48 [size=\"36765013\", alpha=\"0.07\", expect_size=\"11029504\"] \n  49 [size=\"57156267\", alpha=\"0.00\", expect_size=\"17146880\"] \n  50 [size=\"71994027\", alpha=\"0.14\", expect_size=\"21598208\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.55.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"172366507\", alpha=\"0.19\", expect_size=\"51709952\"] \n  1 -> 3 [size =\"51709952\"]\n  1 -> 4 [size =\"51709952\"]\n  1 -> 5 [size =\"51709952\"]\n  2 [size=\"19080533\", alpha=\"0.11\", expect_size=\"5724160\"] \n  2 -> 3 [size =\"5724160\"]\n  2 -> 4 [size =\"5724160\"]\n  2 -> 5 [size =\"5724160\"]\n  3 [size=\"35768320\", alpha=\"0.18\", expect_size=\"10730496\"] \n  3 -> 8 [size =\"10730496\"]\n  4 [size=\"34730667\", alpha=\"0.05\", expect_size=\"10419200\"] \n  4 -> 6 [size =\"10419200\"]\n  4 -> 8 [size =\"10419200\"]\n  5 [size=\"130658987\", alpha=\"0.19\", expect_size=\"39197696\"] \n  5 -> 7 [size =\"39197696\"]\n  6 [size=\"29986133\", alpha=\"0.16\", expect_size=\"8995840\"] \n  6 -> 9 [size =\"8995840\"]\n  6 -> 10 [size =\"8995840\"]\n  6 -> 11 [size =\"8995840\"]\n  7 [size=\"43038720\", alpha=\"0.05\", expect_size=\"12911616\"] \n  7 -> 11 [size =\"12911616\"]\n  8 [size=\"68000427\", alpha=\"0.14\", expect_size=\"20400128\"] \n  8 -> 10 [size =\"20400128\"]\n  8 -> 11 [size =\"20400128\"]\n  9 [size=\"153053867\", alpha=\"0.04\", expect_size=\"45916160\"] \n  9 -> 12 [size =\"45916160\"]\n  10 [size=\"61938347\", alpha=\"0.15\", expect_size=\"18581504\"] \n  10 -> 13 [size =\"18581504\"]\n  11 [size=\"55316480\", alpha=\"0.07\", expect_size=\"16594944\"] \n  12 [size=\"44315307\", alpha=\"0.06\", expect_size=\"13294592\"] \n  12 -> 14 [size =\"13294592\"]\n  12 -> 15 [size =\"13294592\"]\n  13 [size=\"133522773\", alpha=\"0.11\", expect_size=\"40056832\"] \n  13 -> 14 [size =\"40056832\"]\n  14 [size=\"119470080\", alpha=\"0.15\", expect_size=\"35841024\"] \n  14 -> 16 [size =\"35841024\"]\n  14 -> 17 [size =\"35841024\"]\n  15 [size=\"157163520\", alpha=\"0.16\", expect_size=\"47149056\"] \n  15 -> 17 [size =\"47149056\"]\n  15 -> 18 [size =\"47149056\"]\n  16 [size=\"148964693\", alpha=\"0.01\", expect_size=\"44689408\"] \n  17 [size=\"115770027\", alpha=\"0.17\", expect_size=\"34731008\"] \n  17 -> 19 [size =\"34731008\"]\n  17 -> 20 [size =\"34731008\"]\n  18 [size=\"157494613\", alpha=\"0.14\", expect_size=\"47248384\"] \n  19 [size=\"112397653\", alpha=\"0.02\", expect_size=\"33719296\"] \n  19 -> 23 [size =\"33719296\"]\n  20 [size=\"141335893\", alpha=\"0.03\", expect_size=\"42400768\"] \n  20 -> 21 [size =\"42400768\"]\n  20 -> 22 [size =\"42400768\"]\n  21 [size=\"101236053\", alpha=\"0.05\", expect_size=\"30370816\"] \n  22 [size=\"159064747\", alpha=\"0.06\", expect_size=\"47719424\"] \n  22 -> 24 [size =\"47719424\"]\n  23 [size=\"50554880\", alpha=\"0.10\", expect_size=\"15166464\"] \n  23 -> 25 [size =\"15166464\"]\n  24 [size=\"135809707\", alpha=\"0.16\", expect_size=\"40742912\"] \n  24 -> 26 [size =\"40742912\"]\n  25 [size=\"96610987\", alpha=\"0.17\", expect_size=\"28983296\"] \n  25 -> 26 [size =\"28983296\"]\n  25 -> 27 [size =\"28983296\"]\n  26 [size=\"67949227\", alpha=\"0.19\", expect_size=\"20384768\"] \n  26 -> 28 [size =\"20384768\"]\n  26 -> 29 [size =\"20384768\"]\n  27 [size=\"73833813\", alpha=\"0.04\", expect_size=\"22150144\"] \n  27 -> 28 [size =\"22150144\"]\n  27 -> 29 [size =\"22150144\"]\n  28 [size=\"47595520\", alpha=\"0.16\", expect_size=\"14278656\"] \n  28 -> 30 [size =\"14278656\"]\n  28 -> 31 [size =\"14278656\"]\n  29 [size=\"154289493\", alpha=\"0.05\", expect_size=\"46286848\"] \n  29 -> 30 [size =\"46286848\"]\n  29 -> 31 [size =\"46286848\"]\n  30 [size=\"166775467\", alpha=\"0.20\", expect_size=\"50032640\"] \n  30 -> 32 [size =\"50032640\"]\n  30 -> 33 [size =\"50032640\"]\n  30 -> 34 [size =\"50032640\"]\n  31 [size=\"35464533\", alpha=\"0.19\", expect_size=\"10639360\"] \n  31 -> 33 [size =\"10639360\"]\n  31 -> 34 [size =\"10639360\"]\n  32 [size=\"72526507\", alpha=\"0.02\", expect_size=\"21757952\"] \n  32 -> 37 [size =\"21757952\"]\n  33 [size=\"122289493\", alpha=\"0.00\", expect_size=\"36686848\"] \n  33 -> 36 [size =\"36686848\"]\n  33 -> 37 [size =\"36686848\"]\n  34 [size=\"45752320\", alpha=\"0.11\", expect_size=\"13725696\"] \n  34 -> 35 [size =\"13725696\"]\n  34 -> 37 [size =\"13725696\"]\n  35 [size=\"174749013\", alpha=\"0.19\", expect_size=\"52424704\"] \n  36 [size=\"150603093\", alpha=\"0.04\", expect_size=\"45180928\"] \n  37 [size=\"143114240\", alpha=\"0.02\", expect_size=\"42934272\"] \n  37 -> 38 [size =\"42934272\"]\n  37 -> 39 [size =\"42934272\"]\n  38 [size=\"20555093\", alpha=\"0.17\", expect_size=\"6166528\"] \n  38 -> 41 [size =\"6166528\"]\n  39 [size=\"148029440\", alpha=\"0.05\", expect_size=\"44408832\"] \n  39 -> 40 [size =\"44408832\"]\n  40 [size=\"31969280\", alpha=\"0.08\", expect_size=\"9590784\"] \n  40 -> 43 [size =\"9590784\"]\n  41 [size=\"31406080\", alpha=\"0.02\", expect_size=\"9421824\"] \n  41 -> 42 [size =\"9421824\"]\n  41 -> 43 [size =\"9421824\"]\n  41 -> 44 [size =\"9421824\"]\n  42 [size=\"26900480\", alpha=\"0.14\", expect_size=\"8070144\"] \n  42 -> 45 [size =\"8070144\"]\n  42 -> 46 [size =\"8070144\"]\n  42 -> 47 [size =\"8070144\"]\n  43 [size=\"45291520\", alpha=\"0.10\", expect_size=\"13587456\"] \n  43 -> 47 [size =\"13587456\"]\n  44 [size=\"45335893\", alpha=\"0.01\", expect_size=\"13600768\"] \n  45 [size=\"129034240\", alpha=\"0.02\", expect_size=\"38710272\"] \n  45 -> 48 [size =\"38710272\"]\n  45 -> 49 [size =\"38710272\"]\n  46 [size=\"121497600\", alpha=\"0.10\", expect_size=\"36449280\"] \n  47 [size=\"154221227\", alpha=\"0.05\", expect_size=\"46266368\"] \n  47 -> 50 [size =\"46266368\"]\n  48 [size=\"168209067\", alpha=\"0.03\", expect_size=\"50462720\"] \n  49 [size=\"146196480\", alpha=\"0.19\", expect_size=\"43858944\"] \n  50 [size=\"25818453\", alpha=\"0.14\", expect_size=\"7745536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.56.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"131857067\", alpha=\"0.01\", expect_size=\"39557120\"] \n  1 -> 16 [size =\"39557120\"]\n  1 -> 17 [size =\"39557120\"]\n  1 -> 20 [size =\"39557120\"]\n  1 -> 22 [size =\"39557120\"]\n  1 -> 26 [size =\"39557120\"]\n  1 -> 29 [size =\"39557120\"]\n  2 [size=\"123187200\", alpha=\"0.13\", expect_size=\"36956160\"] \n  2 -> 16 [size =\"36956160\"]\n  2 -> 18 [size =\"36956160\"]\n  2 -> 20 [size =\"36956160\"]\n  2 -> 23 [size =\"36956160\"]\n  2 -> 26 [size =\"36956160\"]\n  2 -> 28 [size =\"36956160\"]\n  2 -> 29 [size =\"36956160\"]\n  3 [size=\"123886933\", alpha=\"0.15\", expect_size=\"37166080\"] \n  3 -> 18 [size =\"37166080\"]\n  3 -> 20 [size =\"37166080\"]\n  3 -> 20 [size =\"37166080\"]\n  3 -> 23 [size =\"37166080\"]\n  3 -> 24 [size =\"37166080\"]\n  3 -> 26 [size =\"37166080\"]\n  3 -> 29 [size =\"37166080\"]\n  3 -> 30 [size =\"37166080\"]\n  4 [size=\"39990613\", alpha=\"0.18\", expect_size=\"11997184\"] \n  4 -> 16 [size =\"11997184\"]\n  4 -> 17 [size =\"11997184\"]\n  4 -> 20 [size =\"11997184\"]\n  4 -> 23 [size =\"11997184\"]\n  4 -> 26 [size =\"11997184\"]\n  4 -> 29 [size =\"11997184\"]\n  4 -> 29 [size =\"11997184\"]\n  4 -> 30 [size =\"11997184\"]\n  5 [size=\"61948587\", alpha=\"0.19\", expect_size=\"18584576\"] \n  5 -> 16 [size =\"18584576\"]\n  5 -> 20 [size =\"18584576\"]\n  5 -> 21 [size =\"18584576\"]\n  5 -> 22 [size =\"18584576\"]\n  5 -> 23 [size =\"18584576\"]\n  5 -> 26 [size =\"18584576\"]\n  5 -> 29 [size =\"18584576\"]\n  5 -> 30 [size =\"18584576\"]\n  6 [size=\"140247040\", alpha=\"0.05\", expect_size=\"42074112\"] \n  6 -> 17 [size =\"42074112\"]\n  6 -> 22 [size =\"42074112\"]\n  6 -> 23 [size =\"42074112\"]\n  6 -> 24 [size =\"42074112\"]\n  6 -> 25 [size =\"42074112\"]\n  6 -> 29 [size =\"42074112\"]\n  6 -> 31 [size =\"42074112\"]\n  7 [size=\"70161067\", alpha=\"0.08\", expect_size=\"21048320\"] \n  7 -> 17 [size =\"21048320\"]\n  7 -> 22 [size =\"21048320\"]\n  7 -> 23 [size =\"21048320\"]\n  7 -> 27 [size =\"21048320\"]\n  7 -> 28 [size =\"21048320\"]\n  7 -> 29 [size =\"21048320\"]\n  7 -> 30 [size =\"21048320\"]\n  8 [size=\"100140373\", alpha=\"0.03\", expect_size=\"30042112\"] \n  8 -> 17 [size =\"30042112\"]\n  8 -> 20 [size =\"30042112\"]\n  8 -> 21 [size =\"30042112\"]\n  8 -> 23 [size =\"30042112\"]\n  8 -> 25 [size =\"30042112\"]\n  8 -> 27 [size =\"30042112\"]\n  9 [size=\"111264427\", alpha=\"0.19\", expect_size=\"33379328\"] \n  9 -> 18 [size =\"33379328\"]\n  9 -> 19 [size =\"33379328\"]\n  9 -> 20 [size =\"33379328\"]\n  9 -> 21 [size =\"33379328\"]\n  9 -> 23 [size =\"33379328\"]\n  9 -> 26 [size =\"33379328\"]\n  9 -> 27 [size =\"33379328\"]\n  10 [size=\"39994027\", alpha=\"0.18\", expect_size=\"11998208\"] \n  10 -> 20 [size =\"11998208\"]\n  10 -> 22 [size =\"11998208\"]\n  10 -> 23 [size =\"11998208\"]\n  10 -> 25 [size =\"11998208\"]\n  10 -> 26 [size =\"11998208\"]\n  10 -> 28 [size =\"11998208\"]\n  11 [size=\"173687467\", alpha=\"0.10\", expect_size=\"52106240\"] \n  11 -> 16 [size =\"52106240\"]\n  11 -> 20 [size =\"52106240\"]\n  11 -> 22 [size =\"52106240\"]\n  11 -> 23 [size =\"52106240\"]\n  11 -> 24 [size =\"52106240\"]\n  11 -> 25 [size =\"52106240\"]\n  11 -> 28 [size =\"52106240\"]\n  11 -> 29 [size =\"52106240\"]\n  11 -> 30 [size =\"52106240\"]\n  12 [size=\"26671787\", alpha=\"0.14\", expect_size=\"8001536\"] \n  12 -> 20 [size =\"8001536\"]\n  12 -> 20 [size =\"8001536\"]\n  12 -> 22 [size =\"8001536\"]\n  12 -> 23 [size =\"8001536\"]\n  12 -> 25 [size =\"8001536\"]\n  12 -> 26 [size =\"8001536\"]\n  12 -> 29 [size =\"8001536\"]\n  12 -> 30 [size =\"8001536\"]\n  12 -> 30 [size =\"8001536\"]\n  13 [size=\"128682667\", alpha=\"0.02\", expect_size=\"38604800\"] \n  13 -> 17 [size =\"38604800\"]\n  13 -> 22 [size =\"38604800\"]\n  13 -> 23 [size =\"38604800\"]\n  13 -> 24 [size =\"38604800\"]\n  13 -> 25 [size =\"38604800\"]\n  13 -> 26 [size =\"38604800\"]\n  13 -> 30 [size =\"38604800\"]\n  13 -> 31 [size =\"38604800\"]\n  14 [size=\"90053973\", alpha=\"0.03\", expect_size=\"27016192\"] \n  14 -> 16 [size =\"27016192\"]\n  14 -> 22 [size =\"27016192\"]\n  14 -> 26 [size =\"27016192\"]\n  14 -> 29 [size =\"27016192\"]\n  14 -> 30 [size =\"27016192\"]\n  15 [size=\"73523200\", alpha=\"0.07\", expect_size=\"22056960\"] \n  15 -> 16 [size =\"22056960\"]\n  15 -> 19 [size =\"22056960\"]\n  15 -> 20 [size =\"22056960\"]\n  15 -> 23 [size =\"22056960\"]\n  15 -> 26 [size =\"22056960\"]\n  15 -> 29 [size =\"22056960\"]\n  15 -> 30 [size =\"22056960\"]\n  16 [size=\"66242560\", alpha=\"0.10\", expect_size=\"19872768\"] \n  16 -> 36 [size =\"19872768\"]\n  16 -> 38 [size =\"19872768\"]\n  16 -> 40 [size =\"19872768\"]\n  16 -> 41 [size =\"19872768\"]\n  16 -> 42 [size =\"19872768\"]\n  16 -> 43 [size =\"19872768\"]\n  16 -> 46 [size =\"19872768\"]\n  16 -> 47 [size =\"19872768\"]\n  17 [size=\"103819947\", alpha=\"0.15\", expect_size=\"31145984\"] \n  17 -> 35 [size =\"31145984\"]\n  17 -> 36 [size =\"31145984\"]\n  17 -> 38 [size =\"31145984\"]\n  17 -> 40 [size =\"31145984\"]\n  17 -> 41 [size =\"31145984\"]\n  17 -> 42 [size =\"31145984\"]\n  17 -> 43 [size =\"31145984\"]\n  17 -> 45 [size =\"31145984\"]\n  17 -> 46 [size =\"31145984\"]\n  17 -> 47 [size =\"31145984\"]\n  18 [size=\"168506027\", alpha=\"0.05\", expect_size=\"50551808\"] \n  18 -> 32 [size =\"50551808\"]\n  18 -> 36 [size =\"50551808\"]\n  18 -> 38 [size =\"50551808\"]\n  18 -> 40 [size =\"50551808\"]\n  18 -> 42 [size =\"50551808\"]\n  18 -> 46 [size =\"50551808\"]\n  19 [size=\"32389120\", alpha=\"0.10\", expect_size=\"9716736\"] \n  19 -> 34 [size =\"9716736\"]\n  19 -> 36 [size =\"9716736\"]\n  19 -> 37 [size =\"9716736\"]\n  19 -> 40 [size =\"9716736\"]\n  19 -> 43 [size =\"9716736\"]\n  19 -> 44 [size =\"9716736\"]\n  19 -> 45 [size =\"9716736\"]\n  19 -> 47 [size =\"9716736\"]\n  20 [size=\"25272320\", alpha=\"0.14\", expect_size=\"7581696\"] \n  20 -> 32 [size =\"7581696\"]\n  20 -> 33 [size =\"7581696\"]\n  20 -> 35 [size =\"7581696\"]\n  20 -> 37 [size =\"7581696\"]\n  20 -> 40 [size =\"7581696\"]\n  20 -> 41 [size =\"7581696\"]\n  20 -> 45 [size =\"7581696\"]\n  20 -> 47 [size =\"7581696\"]\n  21 [size=\"170096640\", alpha=\"0.12\", expect_size=\"51028992\"] \n  21 -> 32 [size =\"51028992\"]\n  21 -> 37 [size =\"51028992\"]\n  21 -> 39 [size =\"51028992\"]\n  21 -> 40 [size =\"51028992\"]\n  21 -> 40 [size =\"51028992\"]\n  21 -> 41 [size =\"51028992\"]\n  21 -> 43 [size =\"51028992\"]\n  21 -> 45 [size =\"51028992\"]\n  21 -> 47 [size =\"51028992\"]\n  22 [size=\"94252373\", alpha=\"0.03\", expect_size=\"28275712\"] \n  22 -> 32 [size =\"28275712\"]\n  22 -> 35 [size =\"28275712\"]\n  22 -> 36 [size =\"28275712\"]\n  22 -> 37 [size =\"28275712\"]\n  22 -> 39 [size =\"28275712\"]\n  22 -> 40 [size =\"28275712\"]\n  22 -> 42 [size =\"28275712\"]\n  22 -> 43 [size =\"28275712\"]\n  22 -> 45 [size =\"28275712\"]\n  22 -> 47 [size =\"28275712\"]\n  23 [size=\"48295253\", alpha=\"0.08\", expect_size=\"14488576\"] \n  23 -> 32 [size =\"14488576\"]\n  23 -> 35 [size =\"14488576\"]\n  23 -> 37 [size =\"14488576\"]\n  23 -> 39 [size =\"14488576\"]\n  23 -> 40 [size =\"14488576\"]\n  23 -> 42 [size =\"14488576\"]\n  23 -> 44 [size =\"14488576\"]\n  23 -> 45 [size =\"14488576\"]\n  23 -> 47 [size =\"14488576\"]\n  23 -> 47 [size =\"14488576\"]\n  24 [size=\"61532160\", alpha=\"0.16\", expect_size=\"18459648\"] \n  24 -> 34 [size =\"18459648\"]\n  24 -> 37 [size =\"18459648\"]\n  24 -> 39 [size =\"18459648\"]\n  24 -> 42 [size =\"18459648\"]\n  24 -> 43 [size =\"18459648\"]\n  24 -> 45 [size =\"18459648\"]\n  24 -> 46 [size =\"18459648\"]\n  24 -> 47 [size =\"18459648\"]\n  24 -> 47 [size =\"18459648\"]\n  25 [size=\"81431893\", alpha=\"0.10\", expect_size=\"24429568\"] \n  25 -> 35 [size =\"24429568\"]\n  25 -> 36 [size =\"24429568\"]\n  25 -> 37 [size =\"24429568\"]\n  25 -> 39 [size =\"24429568\"]\n  25 -> 40 [size =\"24429568\"]\n  25 -> 42 [size =\"24429568\"]\n  25 -> 43 [size =\"24429568\"]\n  25 -> 44 [size =\"24429568\"]\n  25 -> 45 [size =\"24429568\"]\n  26 [size=\"135396693\", alpha=\"0.19\", expect_size=\"40619008\"] \n  26 -> 35 [size =\"40619008\"]\n  26 -> 36 [size =\"40619008\"]\n  26 -> 37 [size =\"40619008\"]\n  26 -> 38 [size =\"40619008\"]\n  26 -> 39 [size =\"40619008\"]\n  26 -> 40 [size =\"40619008\"]\n  26 -> 42 [size =\"40619008\"]\n  26 -> 45 [size =\"40619008\"]\n  26 -> 45 [size =\"40619008\"]\n  26 -> 46 [size =\"40619008\"]\n  27 [size=\"52964693\", alpha=\"0.15\", expect_size=\"15889408\"] \n  27 -> 35 [size =\"15889408\"]\n  27 -> 36 [size =\"15889408\"]\n  27 -> 39 [size =\"15889408\"]\n  27 -> 40 [size =\"15889408\"]\n  27 -> 42 [size =\"15889408\"]\n  27 -> 43 [size =\"15889408\"]\n  27 -> 44 [size =\"15889408\"]\n  27 -> 45 [size =\"15889408\"]\n  27 -> 46 [size =\"15889408\"]\n  27 -> 46 [size =\"15889408\"]\n  27 -> 47 [size =\"15889408\"]\n  28 [size=\"168024747\", alpha=\"0.01\", expect_size=\"50407424\"] \n  28 -> 32 [size =\"50407424\"]\n  28 -> 34 [size =\"50407424\"]\n  28 -> 35 [size =\"50407424\"]\n  28 -> 36 [size =\"50407424\"]\n  28 -> 37 [size =\"50407424\"]\n  28 -> 39 [size =\"50407424\"]\n  28 -> 42 [size =\"50407424\"]\n  28 -> 45 [size =\"50407424\"]\n  28 -> 46 [size =\"50407424\"]\n  28 -> 47 [size =\"50407424\"]\n  29 [size=\"53244587\", alpha=\"0.19\", expect_size=\"15973376\"] \n  29 -> 33 [size =\"15973376\"]\n  29 -> 34 [size =\"15973376\"]\n  29 -> 36 [size =\"15973376\"]\n  29 -> 37 [size =\"15973376\"]\n  29 -> 39 [size =\"15973376\"]\n  29 -> 39 [size =\"15973376\"]\n  29 -> 41 [size =\"15973376\"]\n  29 -> 42 [size =\"15973376\"]\n  29 -> 43 [size =\"15973376\"]\n  29 -> 45 [size =\"15973376\"]\n  29 -> 47 [size =\"15973376\"]\n  30 [size=\"133474987\", alpha=\"0.01\", expect_size=\"40042496\"] \n  30 -> 32 [size =\"40042496\"]\n  30 -> 35 [size =\"40042496\"]\n  30 -> 37 [size =\"40042496\"]\n  30 -> 39 [size =\"40042496\"]\n  30 -> 39 [size =\"40042496\"]\n  30 -> 41 [size =\"40042496\"]\n  30 -> 41 [size =\"40042496\"]\n  30 -> 42 [size =\"40042496\"]\n  30 -> 44 [size =\"40042496\"]\n  30 -> 45 [size =\"40042496\"]\n  30 -> 47 [size =\"40042496\"]\n  31 [size=\"83985067\", alpha=\"0.02\", expect_size=\"25195520\"] \n  31 -> 35 [size =\"25195520\"]\n  31 -> 39 [size =\"25195520\"]\n  31 -> 40 [size =\"25195520\"]\n  31 -> 42 [size =\"25195520\"]\n  31 -> 45 [size =\"25195520\"]\n  31 -> 46 [size =\"25195520\"]\n  31 -> 47 [size =\"25195520\"]\n  32 [size=\"19162453\", alpha=\"0.04\", expect_size=\"5748736\"] \n  33 [size=\"44718080\", alpha=\"0.00\", expect_size=\"13415424\"] \n  33 -> 50 [size =\"13415424\"]\n  34 [size=\"109776213\", alpha=\"0.06\", expect_size=\"32932864\"] \n  34 -> 48 [size =\"32932864\"]\n  34 -> 50 [size =\"32932864\"]\n  35 [size=\"79571627\", alpha=\"0.18\", expect_size=\"23871488\"] \n  36 [size=\"155859627\", alpha=\"0.17\", expect_size=\"46757888\"] \n  36 -> 49 [size =\"46757888\"]\n  37 [size=\"146845013\", alpha=\"0.07\", expect_size=\"44053504\"] \n  37 -> 48 [size =\"44053504\"]\n  37 -> 50 [size =\"44053504\"]\n  38 [size=\"105212587\", alpha=\"0.16\", expect_size=\"31563776\"] \n  39 [size=\"113629867\", alpha=\"0.07\", expect_size=\"34088960\"] \n  39 -> 50 [size =\"34088960\"]\n  40 [size=\"108595200\", alpha=\"0.19\", expect_size=\"32578560\"] \n  40 -> 50 [size =\"32578560\"]\n  41 [size=\"112633173\", alpha=\"0.10\", expect_size=\"33789952\"] \n  41 -> 50 [size =\"33789952\"]\n  42 [size=\"124665173\", alpha=\"0.12\", expect_size=\"37399552\"] \n  42 -> 50 [size =\"37399552\"]\n  43 [size=\"153893547\", alpha=\"0.17\", expect_size=\"46168064\"] \n  43 -> 50 [size =\"46168064\"]\n  44 [size=\"154241707\", alpha=\"0.07\", expect_size=\"46272512\"] \n  44 -> 50 [size =\"46272512\"]\n  45 [size=\"41000960\", alpha=\"0.06\", expect_size=\"12300288\"] \n  45 -> 49 [size =\"12300288\"]\n  45 -> 50 [size =\"12300288\"]\n  46 [size=\"27504640\", alpha=\"0.20\", expect_size=\"8251392\"] \n  46 -> 50 [size =\"8251392\"]\n  47 [size=\"162525867\", alpha=\"0.18\", expect_size=\"48757760\"] \n  47 -> 50 [size =\"48757760\"]\n  48 [size=\"60545707\", alpha=\"0.15\", expect_size=\"18163712\"] \n  49 [size=\"29883733\", alpha=\"0.17\", expect_size=\"8965120\"] \n  50 [size=\"85456213\", alpha=\"0.14\", expect_size=\"25636864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.57.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94287360\", alpha=\"0.04\", expect_size=\"37714944\"] \n  1 -> 2 [size =\"37714944\"]\n  2 [size=\"63731200\", alpha=\"0.01\", expect_size=\"25492480\"] \n  2 -> 3 [size =\"25492480\"]\n  3 [size=\"61844480\", alpha=\"0.01\", expect_size=\"24737792\"] \n  3 -> 4 [size =\"24737792\"]\n  4 [size=\"35939840\", alpha=\"0.05\", expect_size=\"14375936\"] \n  4 -> 5 [size =\"14375936\"]\n  5 [size=\"99988480\", alpha=\"0.10\", expect_size=\"39995392\"] \n  5 -> 6 [size =\"39995392\"]\n  6 [size=\"103728640\", alpha=\"0.06\", expect_size=\"41491456\"] \n  6 -> 7 [size =\"41491456\"]\n  7 [size=\"23183360\", alpha=\"0.17\", expect_size=\"9273344\"] \n  7 -> 8 [size =\"9273344\"]\n  8 [size=\"38850560\", alpha=\"0.13\", expect_size=\"15540224\"] \n  8 -> 9 [size =\"15540224\"]\n  9 [size=\"119895040\", alpha=\"0.09\", expect_size=\"47958016\"] \n  9 -> 10 [size =\"47958016\"]\n  10 [size=\"60648960\", alpha=\"0.11\", expect_size=\"24259584\"] \n  10 -> 11 [size =\"24259584\"]\n  11 [size=\"41057280\", alpha=\"0.07\", expect_size=\"16422912\"] \n  11 -> 12 [size =\"16422912\"]\n  12 [size=\"61898240\", alpha=\"0.14\", expect_size=\"24759296\"] \n  12 -> 13 [size =\"24759296\"]\n  13 [size=\"66833920\", alpha=\"0.00\", expect_size=\"26733568\"] \n  13 -> 14 [size =\"26733568\"]\n  14 [size=\"74073600\", alpha=\"0.03\", expect_size=\"29629440\"] \n  14 -> 15 [size =\"29629440\"]\n  15 [size=\"102543360\", alpha=\"0.09\", expect_size=\"41017344\"] \n  15 -> 16 [size =\"41017344\"]\n  16 [size=\"42598400\", alpha=\"0.10\", expect_size=\"17039360\"] \n  16 -> 17 [size =\"17039360\"]\n  17 [size=\"75660800\", alpha=\"0.10\", expect_size=\"30264320\"] \n  17 -> 18 [size =\"30264320\"]\n  18 [size=\"60216320\", alpha=\"0.14\", expect_size=\"24086528\"] \n  18 -> 19 [size =\"24086528\"]\n  19 [size=\"19824640\", alpha=\"0.17\", expect_size=\"7929856\"] \n  19 -> 20 [size =\"7929856\"]\n  20 [size=\"75445760\", alpha=\"0.02\", expect_size=\"30178304\"] \n  20 -> 21 [size =\"30178304\"]\n  21 [size=\"20093440\", alpha=\"0.00\", expect_size=\"8037376\"] \n  21 -> 22 [size =\"8037376\"]\n  22 [size=\"63521280\", alpha=\"0.07\", expect_size=\"25408512\"] \n  22 -> 23 [size =\"25408512\"]\n  23 [size=\"28677120\", alpha=\"0.02\", expect_size=\"11470848\"] \n  23 -> 24 [size =\"11470848\"]\n  24 [size=\"28817920\", alpha=\"0.01\", expect_size=\"11527168\"] \n  24 -> 25 [size =\"11527168\"]\n  25 [size=\"48629760\", alpha=\"0.15\", expect_size=\"19451904\"] \n  25 -> 26 [size =\"19451904\"]\n  26 [size=\"103759360\", alpha=\"0.04\", expect_size=\"41503744\"] \n  26 -> 27 [size =\"41503744\"]\n  27 [size=\"44262400\", alpha=\"0.15\", expect_size=\"17704960\"] \n  27 -> 28 [size =\"17704960\"]\n  28 [size=\"105131520\", alpha=\"0.10\", expect_size=\"42052608\"] \n  28 -> 29 [size =\"42052608\"]\n  29 [size=\"72686080\", alpha=\"0.04\", expect_size=\"29074432\"] \n  29 -> 30 [size =\"29074432\"]\n  30 [size=\"57384960\", alpha=\"0.05\", expect_size=\"22953984\"] \n  30 -> 31 [size =\"22953984\"]\n  31 [size=\"69045760\", alpha=\"0.11\", expect_size=\"27618304\"] \n  31 -> 32 [size =\"27618304\"]\n  32 [size=\"70886400\", alpha=\"0.06\", expect_size=\"28354560\"] \n  32 -> 33 [size =\"28354560\"]\n  33 [size=\"113533440\", alpha=\"0.09\", expect_size=\"45413376\"] \n  33 -> 34 [size =\"45413376\"]\n  34 [size=\"127759360\", alpha=\"0.03\", expect_size=\"51103744\"] \n  34 -> 35 [size =\"51103744\"]\n  35 [size=\"18434560\", alpha=\"0.12\", expect_size=\"7373824\"] \n  35 -> 36 [size =\"7373824\"]\n  36 [size=\"108372480\", alpha=\"0.06\", expect_size=\"43348992\"] \n  36 -> 37 [size =\"43348992\"]\n  37 [size=\"16335360\", alpha=\"0.11\", expect_size=\"6534144\"] \n  37 -> 38 [size =\"6534144\"]\n  38 [size=\"106293760\", alpha=\"0.03\", expect_size=\"42517504\"] \n  38 -> 39 [size =\"42517504\"]\n  39 [size=\"50101760\", alpha=\"0.17\", expect_size=\"20040704\"] \n  39 -> 40 [size =\"20040704\"]\n  40 [size=\"72512000\", alpha=\"0.01\", expect_size=\"29004800\"] \n  40 -> 41 [size =\"29004800\"]\n  41 [size=\"103101440\", alpha=\"0.07\", expect_size=\"41240576\"] \n  41 -> 42 [size =\"41240576\"]\n  42 [size=\"51857920\", alpha=\"0.01\", expect_size=\"20743168\"] \n  42 -> 43 [size =\"20743168\"]\n  43 [size=\"85537280\", alpha=\"0.18\", expect_size=\"34214912\"] \n  43 -> 44 [size =\"34214912\"]\n  44 [size=\"21941760\", alpha=\"0.17\", expect_size=\"8776704\"] \n  44 -> 45 [size =\"8776704\"]\n  45 [size=\"40002560\", alpha=\"0.02\", expect_size=\"16001024\"] \n  45 -> 46 [size =\"16001024\"]\n  46 [size=\"111188480\", alpha=\"0.03\", expect_size=\"44475392\"] \n  46 -> 47 [size =\"44475392\"]\n  47 [size=\"29068800\", alpha=\"0.09\", expect_size=\"11627520\"] \n  47 -> 48 [size =\"11627520\"]\n  48 [size=\"92124160\", alpha=\"0.11\", expect_size=\"36849664\"] \n  48 -> 49 [size =\"36849664\"]\n  49 [size=\"111536640\", alpha=\"0.02\", expect_size=\"44614656\"] \n  49 -> 50 [size =\"44614656\"]\n  50 [size=\"94023680\", alpha=\"0.02\", expect_size=\"37609472\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.58.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"19251200\", alpha=\"0.18\", expect_size=\"5775360\"] \n  1 -> 2 [size =\"5775360\"]\n  2 [size=\"123774293\", alpha=\"0.05\", expect_size=\"37132288\"] \n  2 -> 3 [size =\"37132288\"]\n  3 [size=\"39424000\", alpha=\"0.14\", expect_size=\"11827200\"] \n  3 -> 4 [size =\"11827200\"]\n  4 [size=\"116531200\", alpha=\"0.13\", expect_size=\"34959360\"] \n  4 -> 5 [size =\"34959360\"]\n  5 [size=\"33785173\", alpha=\"0.05\", expect_size=\"10135552\"] \n  5 -> 6 [size =\"10135552\"]\n  6 [size=\"129426773\", alpha=\"0.08\", expect_size=\"38828032\"] \n  6 -> 7 [size =\"38828032\"]\n  7 [size=\"148592640\", alpha=\"0.18\", expect_size=\"44577792\"] \n  7 -> 8 [size =\"44577792\"]\n  8 [size=\"166574080\", alpha=\"0.09\", expect_size=\"49972224\"] \n  8 -> 9 [size =\"49972224\"]\n  9 [size=\"163461120\", alpha=\"0.11\", expect_size=\"49038336\"] \n  9 -> 10 [size =\"49038336\"]\n  10 [size=\"40960000\", alpha=\"0.19\", expect_size=\"12288000\"] \n  10 -> 11 [size =\"12288000\"]\n  11 [size=\"112865280\", alpha=\"0.15\", expect_size=\"33859584\"] \n  11 -> 12 [size =\"33859584\"]\n  12 [size=\"101014187\", alpha=\"0.17\", expect_size=\"30304256\"] \n  12 -> 13 [size =\"30304256\"]\n  13 [size=\"143298560\", alpha=\"0.17\", expect_size=\"42989568\"] \n  13 -> 14 [size =\"42989568\"]\n  14 [size=\"96651947\", alpha=\"0.07\", expect_size=\"28995584\"] \n  14 -> 15 [size =\"28995584\"]\n  15 [size=\"40765440\", alpha=\"0.10\", expect_size=\"12229632\"] \n  15 -> 16 [size =\"12229632\"]\n  16 [size=\"82906453\", alpha=\"0.14\", expect_size=\"24871936\"] \n  16 -> 17 [size =\"24871936\"]\n  17 [size=\"142394027\", alpha=\"0.18\", expect_size=\"42718208\"] \n  17 -> 18 [size =\"42718208\"]\n  18 [size=\"128064853\", alpha=\"0.06\", expect_size=\"38419456\"] \n  18 -> 19 [size =\"38419456\"]\n  19 [size=\"45335893\", alpha=\"0.04\", expect_size=\"13600768\"] \n  19 -> 20 [size =\"13600768\"]\n  20 [size=\"133553493\", alpha=\"0.14\", expect_size=\"40066048\"] \n  20 -> 21 [size =\"40066048\"]\n  21 [size=\"123692373\", alpha=\"0.04\", expect_size=\"37107712\"] \n  21 -> 22 [size =\"37107712\"]\n  22 [size=\"85230933\", alpha=\"0.08\", expect_size=\"25569280\"] \n  22 -> 23 [size =\"25569280\"]\n  23 [size=\"59665067\", alpha=\"0.14\", expect_size=\"17899520\"] \n  23 -> 24 [size =\"17899520\"]\n  24 [size=\"32283307\", alpha=\"0.13\", expect_size=\"9684992\"] \n  24 -> 25 [size =\"9684992\"]\n  25 [size=\"86405120\", alpha=\"0.14\", expect_size=\"25921536\"] \n  25 -> 26 [size =\"25921536\"]\n  26 [size=\"162921813\", alpha=\"0.09\", expect_size=\"48876544\"] \n  26 -> 27 [size =\"48876544\"]\n  27 [size=\"119575893\", alpha=\"0.01\", expect_size=\"35872768\"] \n  27 -> 28 [size =\"35872768\"]\n  28 [size=\"106861227\", alpha=\"0.12\", expect_size=\"32058368\"] \n  28 -> 29 [size =\"32058368\"]\n  29 [size=\"153378133\", alpha=\"0.01\", expect_size=\"46013440\"] \n  29 -> 30 [size =\"46013440\"]\n  30 [size=\"30149973\", alpha=\"0.13\", expect_size=\"9044992\"] \n  30 -> 31 [size =\"9044992\"]\n  31 [size=\"140994560\", alpha=\"0.18\", expect_size=\"42298368\"] \n  31 -> 32 [size =\"42298368\"]\n  32 [size=\"173114027\", alpha=\"0.13\", expect_size=\"51934208\"] \n  32 -> 33 [size =\"51934208\"]\n  33 [size=\"75520000\", alpha=\"0.04\", expect_size=\"22656000\"] \n  33 -> 34 [size =\"22656000\"]\n  34 [size=\"27450027\", alpha=\"0.05\", expect_size=\"8235008\"] \n  34 -> 35 [size =\"8235008\"]\n  35 [size=\"127959040\", alpha=\"0.10\", expect_size=\"38387712\"] \n  35 -> 36 [size =\"38387712\"]\n  36 [size=\"78786560\", alpha=\"0.02\", expect_size=\"23635968\"] \n  36 -> 37 [size =\"23635968\"]\n  37 [size=\"149172907\", alpha=\"0.10\", expect_size=\"44751872\"] \n  37 -> 38 [size =\"44751872\"]\n  38 [size=\"155658240\", alpha=\"0.13\", expect_size=\"46697472\"] \n  38 -> 39 [size =\"46697472\"]\n  39 [size=\"90060800\", alpha=\"0.19\", expect_size=\"27018240\"] \n  39 -> 40 [size =\"27018240\"]\n  40 [size=\"98365440\", alpha=\"0.20\", expect_size=\"29509632\"] \n  40 -> 41 [size =\"29509632\"]\n  41 [size=\"46769493\", alpha=\"0.14\", expect_size=\"14030848\"] \n  41 -> 42 [size =\"14030848\"]\n  42 [size=\"30665387\", alpha=\"0.17\", expect_size=\"9199616\"] \n  42 -> 43 [size =\"9199616\"]\n  43 [size=\"133597867\", alpha=\"0.05\", expect_size=\"40079360\"] \n  43 -> 44 [size =\"40079360\"]\n  44 [size=\"166813013\", alpha=\"0.15\", expect_size=\"50043904\"] \n  44 -> 45 [size =\"50043904\"]\n  45 [size=\"52203520\", alpha=\"0.14\", expect_size=\"15661056\"] \n  45 -> 46 [size =\"15661056\"]\n  46 [size=\"127634773\", alpha=\"0.11\", expect_size=\"38290432\"] \n  46 -> 47 [size =\"38290432\"]\n  47 [size=\"143960747\", alpha=\"0.02\", expect_size=\"43188224\"] \n  47 -> 48 [size =\"43188224\"]\n  48 [size=\"68816213\", alpha=\"0.03\", expect_size=\"20644864\"] \n  48 -> 49 [size =\"20644864\"]\n  49 [size=\"170076160\", alpha=\"0.02\", expect_size=\"51022848\"] \n  49 -> 50 [size =\"51022848\"]\n  50 [size=\"161030827\", alpha=\"0.03\", expect_size=\"48309248\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.59.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"130201600\", alpha=\"0.12\", expect_size=\"39060480\"] \n  1 -> 2 [size =\"39060480\"]\n  2 [size=\"62283093\", alpha=\"0.08\", expect_size=\"18684928\"] \n  2 -> 3 [size =\"18684928\"]\n  3 [size=\"128395947\", alpha=\"0.04\", expect_size=\"38518784\"] \n  3 -> 4 [size =\"38518784\"]\n  4 [size=\"77021867\", alpha=\"0.08\", expect_size=\"23106560\"] \n  4 -> 5 [size =\"23106560\"]\n  5 [size=\"135823360\", alpha=\"0.07\", expect_size=\"40747008\"] \n  5 -> 6 [size =\"40747008\"]\n  6 [size=\"80517120\", alpha=\"0.05\", expect_size=\"24155136\"] \n  6 -> 7 [size =\"24155136\"]\n  7 [size=\"62334293\", alpha=\"0.03\", expect_size=\"18700288\"] \n  7 -> 8 [size =\"18700288\"]\n  8 [size=\"148295680\", alpha=\"0.09\", expect_size=\"44488704\"] \n  8 -> 9 [size =\"44488704\"]\n  9 [size=\"24890027\", alpha=\"0.14\", expect_size=\"7467008\"] \n  9 -> 10 [size =\"7467008\"]\n  10 [size=\"162696533\", alpha=\"0.16\", expect_size=\"48808960\"] \n  10 -> 11 [size =\"48808960\"]\n  11 [size=\"162573653\", alpha=\"0.20\", expect_size=\"48772096\"] \n  11 -> 12 [size =\"48772096\"]\n  12 [size=\"95877120\", alpha=\"0.03\", expect_size=\"28763136\"] \n  12 -> 13 [size =\"28763136\"]\n  13 [size=\"155668480\", alpha=\"0.03\", expect_size=\"46700544\"] \n  13 -> 14 [size =\"46700544\"]\n  14 [size=\"30873600\", alpha=\"0.17\", expect_size=\"9262080\"] \n  14 -> 15 [size =\"9262080\"]\n  15 [size=\"90726400\", alpha=\"0.11\", expect_size=\"27217920\"] \n  15 -> 16 [size =\"27217920\"]\n  16 [size=\"144428373\", alpha=\"0.14\", expect_size=\"43328512\"] \n  16 -> 17 [size =\"43328512\"]\n  17 [size=\"23398400\", alpha=\"0.04\", expect_size=\"7019520\"] \n  17 -> 18 [size =\"7019520\"]\n  18 [size=\"47025493\", alpha=\"0.16\", expect_size=\"14107648\"] \n  18 -> 19 [size =\"14107648\"]\n  19 [size=\"114196480\", alpha=\"0.19\", expect_size=\"34258944\"] \n  19 -> 20 [size =\"34258944\"]\n  20 [size=\"68177920\", alpha=\"0.12\", expect_size=\"20453376\"] \n  20 -> 21 [size =\"20453376\"]\n  21 [size=\"37352107\", alpha=\"0.19\", expect_size=\"11205632\"] \n  21 -> 22 [size =\"11205632\"]\n  22 [size=\"34928640\", alpha=\"0.11\", expect_size=\"10478592\"] \n  22 -> 23 [size =\"10478592\"]\n  23 [size=\"61364907\", alpha=\"0.18\", expect_size=\"18409472\"] \n  23 -> 24 [size =\"18409472\"]\n  24 [size=\"88671573\", alpha=\"0.12\", expect_size=\"26601472\"] \n  24 -> 25 [size =\"26601472\"]\n  25 [size=\"62187520\", alpha=\"0.01\", expect_size=\"18656256\"] \n  25 -> 26 [size =\"18656256\"]\n  26 [size=\"150531413\", alpha=\"0.18\", expect_size=\"45159424\"] \n  26 -> 27 [size =\"45159424\"]\n  27 [size=\"103628800\", alpha=\"0.01\", expect_size=\"31088640\"] \n  27 -> 28 [size =\"31088640\"]\n  28 [size=\"135389867\", alpha=\"0.00\", expect_size=\"40616960\"] \n  28 -> 29 [size =\"40616960\"]\n  29 [size=\"104628907\", alpha=\"0.01\", expect_size=\"31388672\"] \n  29 -> 30 [size =\"31388672\"]\n  30 [size=\"100457813\", alpha=\"0.20\", expect_size=\"30137344\"] \n  30 -> 31 [size =\"30137344\"]\n  31 [size=\"36526080\", alpha=\"0.17\", expect_size=\"10957824\"] \n  31 -> 32 [size =\"10957824\"]\n  32 [size=\"25569280\", alpha=\"0.05\", expect_size=\"7670784\"] \n  32 -> 33 [size =\"7670784\"]\n  33 [size=\"112394240\", alpha=\"0.09\", expect_size=\"33718272\"] \n  33 -> 34 [size =\"33718272\"]\n  34 [size=\"93347840\", alpha=\"0.16\", expect_size=\"28004352\"] \n  34 -> 35 [size =\"28004352\"]\n  35 [size=\"27979093\", alpha=\"0.12\", expect_size=\"8393728\"] \n  35 -> 36 [size =\"8393728\"]\n  36 [size=\"34638507\", alpha=\"0.04\", expect_size=\"10391552\"] \n  36 -> 37 [size =\"10391552\"]\n  37 [size=\"19080533\", alpha=\"0.17\", expect_size=\"5724160\"] \n  37 -> 38 [size =\"5724160\"]\n  38 [size=\"26170027\", alpha=\"0.13\", expect_size=\"7851008\"] \n  38 -> 39 [size =\"7851008\"]\n  39 [size=\"29433173\", alpha=\"0.02\", expect_size=\"8829952\"] \n  39 -> 40 [size =\"8829952\"]\n  40 [size=\"36293973\", alpha=\"0.18\", expect_size=\"10888192\"] \n  40 -> 41 [size =\"10888192\"]\n  41 [size=\"34682880\", alpha=\"0.16\", expect_size=\"10404864\"] \n  41 -> 42 [size =\"10404864\"]\n  42 [size=\"169700693\", alpha=\"0.16\", expect_size=\"50910208\"] \n  42 -> 43 [size =\"50910208\"]\n  43 [size=\"47892480\", alpha=\"0.01\", expect_size=\"14367744\"] \n  43 -> 44 [size =\"14367744\"]\n  44 [size=\"122030080\", alpha=\"0.16\", expect_size=\"36609024\"] \n  44 -> 45 [size =\"36609024\"]\n  45 [size=\"90931200\", alpha=\"0.16\", expect_size=\"27279360\"] \n  45 -> 46 [size =\"27279360\"]\n  46 [size=\"27856213\", alpha=\"0.14\", expect_size=\"8356864\"] \n  46 -> 47 [size =\"8356864\"]\n  47 [size=\"59753813\", alpha=\"0.02\", expect_size=\"17926144\"] \n  47 -> 48 [size =\"17926144\"]\n  48 [size=\"35266560\", alpha=\"0.05\", expect_size=\"10579968\"] \n  48 -> 49 [size =\"10579968\"]\n  49 [size=\"141226667\", alpha=\"0.20\", expect_size=\"42368000\"] \n  49 -> 50 [size =\"42368000\"]\n  50 [size=\"159791787\", alpha=\"0.05\", expect_size=\"47937536\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.6.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"95795200\", alpha=\"0.16\", expect_size=\"38318080\"] \n  1 -> 32 [size =\"38318080\"]\n  1 -> 34 [size =\"38318080\"]\n  1 -> 39 [size =\"38318080\"]\n  1 -> 42 [size =\"38318080\"]\n  1 -> 43 [size =\"38318080\"]\n  1 -> 44 [size =\"38318080\"]\n  1 -> 50 [size =\"38318080\"]\n  2 [size=\"73784320\", alpha=\"0.13\", expect_size=\"29513728\"] \n  2 -> 32 [size =\"29513728\"]\n  2 -> 36 [size =\"29513728\"]\n  2 -> 41 [size =\"29513728\"]\n  2 -> 43 [size =\"29513728\"]\n  2 -> 44 [size =\"29513728\"]\n  2 -> 45 [size =\"29513728\"]\n  2 -> 46 [size =\"29513728\"]\n  2 -> 50 [size =\"29513728\"]\n  3 [size=\"88637440\", alpha=\"0.15\", expect_size=\"35454976\"] \n  3 -> 44 [size =\"35454976\"]\n  3 -> 48 [size =\"35454976\"]\n  3 -> 50 [size =\"35454976\"]\n  4 [size=\"93969920\", alpha=\"0.09\", expect_size=\"37587968\"] \n  4 -> 34 [size =\"37587968\"]\n  4 -> 35 [size =\"37587968\"]\n  4 -> 36 [size =\"37587968\"]\n  4 -> 37 [size =\"37587968\"]\n  4 -> 39 [size =\"37587968\"]\n  4 -> 41 [size =\"37587968\"]\n  4 -> 48 [size =\"37587968\"]\n  4 -> 50 [size =\"37587968\"]\n  5 [size=\"116938240\", alpha=\"0.12\", expect_size=\"46775296\"] \n  5 -> 33 [size =\"46775296\"]\n  5 -> 34 [size =\"46775296\"]\n  5 -> 35 [size =\"46775296\"]\n  5 -> 36 [size =\"46775296\"]\n  5 -> 37 [size =\"46775296\"]\n  5 -> 40 [size =\"46775296\"]\n  5 -> 41 [size =\"46775296\"]\n  5 -> 42 [size =\"46775296\"]\n  5 -> 44 [size =\"46775296\"]\n  5 -> 46 [size =\"46775296\"]\n  5 -> 48 [size =\"46775296\"]\n  6 [size=\"47024640\", alpha=\"0.02\", expect_size=\"18809856\"] \n  6 -> 32 [size =\"18809856\"]\n  6 -> 36 [size =\"18809856\"]\n  6 -> 37 [size =\"18809856\"]\n  6 -> 44 [size =\"18809856\"]\n  6 -> 45 [size =\"18809856\"]\n  6 -> 46 [size =\"18809856\"]\n  6 -> 47 [size =\"18809856\"]\n  7 [size=\"118540800\", alpha=\"0.11\", expect_size=\"47416320\"] \n  7 -> 35 [size =\"47416320\"]\n  7 -> 39 [size =\"47416320\"]\n  7 -> 44 [size =\"47416320\"]\n  7 -> 44 [size =\"47416320\"]\n  7 -> 45 [size =\"47416320\"]\n  7 -> 46 [size =\"47416320\"]\n  8 [size=\"29639680\", alpha=\"0.02\", expect_size=\"11855872\"] \n  8 -> 32 [size =\"11855872\"]\n  8 -> 33 [size =\"11855872\"]\n  8 -> 35 [size =\"11855872\"]\n  8 -> 37 [size =\"11855872\"]\n  8 -> 39 [size =\"11855872\"]\n  8 -> 44 [size =\"11855872\"]\n  8 -> 49 [size =\"11855872\"]\n  9 [size=\"19985920\", alpha=\"0.07\", expect_size=\"7994368\"] \n  9 -> 35 [size =\"7994368\"]\n  9 -> 36 [size =\"7994368\"]\n  9 -> 39 [size =\"7994368\"]\n  9 -> 41 [size =\"7994368\"]\n  9 -> 44 [size =\"7994368\"]\n  9 -> 45 [size =\"7994368\"]\n  9 -> 47 [size =\"7994368\"]\n  9 -> 48 [size =\"7994368\"]\n  9 -> 49 [size =\"7994368\"]\n  10 [size=\"113602560\", alpha=\"0.11\", expect_size=\"45441024\"] \n  10 -> 33 [size =\"45441024\"]\n  10 -> 34 [size =\"45441024\"]\n  10 -> 35 [size =\"45441024\"]\n  10 -> 36 [size =\"45441024\"]\n  10 -> 38 [size =\"45441024\"]\n  10 -> 39 [size =\"45441024\"]\n  10 -> 43 [size =\"45441024\"]\n  10 -> 44 [size =\"45441024\"]\n  10 -> 48 [size =\"45441024\"]\n  10 -> 49 [size =\"45441024\"]\n  11 [size=\"69731840\", alpha=\"0.18\", expect_size=\"27892736\"] \n  11 -> 32 [size =\"27892736\"]\n  11 -> 33 [size =\"27892736\"]\n  11 -> 35 [size =\"27892736\"]\n  11 -> 36 [size =\"27892736\"]\n  11 -> 40 [size =\"27892736\"]\n  11 -> 43 [size =\"27892736\"]\n  11 -> 48 [size =\"27892736\"]\n  11 -> 49 [size =\"27892736\"]\n  12 [size=\"49031680\", alpha=\"0.17\", expect_size=\"19612672\"] \n  12 -> 32 [size =\"19612672\"]\n  12 -> 33 [size =\"19612672\"]\n  12 -> 34 [size =\"19612672\"]\n  12 -> 35 [size =\"19612672\"]\n  12 -> 36 [size =\"19612672\"]\n  12 -> 39 [size =\"19612672\"]\n  12 -> 44 [size =\"19612672\"]\n  12 -> 46 [size =\"19612672\"]\n  13 [size=\"128043520\", alpha=\"0.00\", expect_size=\"51217408\"] \n  13 -> 32 [size =\"51217408\"]\n  13 -> 33 [size =\"51217408\"]\n  13 -> 35 [size =\"51217408\"]\n  13 -> 37 [size =\"51217408\"]\n  13 -> 39 [size =\"51217408\"]\n  13 -> 43 [size =\"51217408\"]\n  13 -> 46 [size =\"51217408\"]\n  13 -> 48 [size =\"51217408\"]\n  13 -> 50 [size =\"51217408\"]\n  14 [size=\"96148480\", alpha=\"0.13\", expect_size=\"38459392\"] \n  14 -> 32 [size =\"38459392\"]\n  14 -> 33 [size =\"38459392\"]\n  14 -> 35 [size =\"38459392\"]\n  14 -> 36 [size =\"38459392\"]\n  14 -> 37 [size =\"38459392\"]\n  14 -> 39 [size =\"38459392\"]\n  14 -> 42 [size =\"38459392\"]\n  14 -> 44 [size =\"38459392\"]\n  14 -> 46 [size =\"38459392\"]\n  14 -> 49 [size =\"38459392\"]\n  14 -> 50 [size =\"38459392\"]\n  15 [size=\"33018880\", alpha=\"0.11\", expect_size=\"13207552\"] \n  15 -> 32 [size =\"13207552\"]\n  15 -> 33 [size =\"13207552\"]\n  15 -> 37 [size =\"13207552\"]\n  15 -> 39 [size =\"13207552\"]\n  15 -> 42 [size =\"13207552\"]\n  15 -> 43 [size =\"13207552\"]\n  15 -> 44 [size =\"13207552\"]\n  15 -> 45 [size =\"13207552\"]\n  16 [size=\"106109440\", alpha=\"0.04\", expect_size=\"42443776\"] \n  16 -> 32 [size =\"42443776\"]\n  16 -> 33 [size =\"42443776\"]\n  16 -> 39 [size =\"42443776\"]\n  16 -> 40 [size =\"42443776\"]\n  16 -> 44 [size =\"42443776\"]\n  16 -> 45 [size =\"42443776\"]\n  16 -> 46 [size =\"42443776\"]\n  16 -> 48 [size =\"42443776\"]\n  16 -> 50 [size =\"42443776\"]\n  17 [size=\"116915200\", alpha=\"0.20\", expect_size=\"46766080\"] \n  17 -> 33 [size =\"46766080\"]\n  17 -> 35 [size =\"46766080\"]\n  17 -> 36 [size =\"46766080\"]\n  17 -> 40 [size =\"46766080\"]\n  17 -> 43 [size =\"46766080\"]\n  17 -> 44 [size =\"46766080\"]\n  17 -> 45 [size =\"46766080\"]\n  17 -> 46 [size =\"46766080\"]\n  17 -> 48 [size =\"46766080\"]\n  17 -> 49 [size =\"46766080\"]\n  17 -> 50 [size =\"46766080\"]\n  18 [size=\"63316480\", alpha=\"0.18\", expect_size=\"25326592\"] \n  18 -> 32 [size =\"25326592\"]\n  18 -> 33 [size =\"25326592\"]\n  18 -> 35 [size =\"25326592\"]\n  18 -> 36 [size =\"25326592\"]\n  18 -> 39 [size =\"25326592\"]\n  18 -> 40 [size =\"25326592\"]\n  18 -> 44 [size =\"25326592\"]\n  18 -> 48 [size =\"25326592\"]\n  19 [size=\"73200640\", alpha=\"0.20\", expect_size=\"29280256\"] \n  19 -> 36 [size =\"29280256\"]\n  19 -> 39 [size =\"29280256\"]\n  19 -> 42 [size =\"29280256\"]\n  19 -> 43 [size =\"29280256\"]\n  19 -> 46 [size =\"29280256\"]\n  19 -> 49 [size =\"29280256\"]\n  19 -> 50 [size =\"29280256\"]\n  20 [size=\"112020480\", alpha=\"0.06\", expect_size=\"44808192\"] \n  20 -> 32 [size =\"44808192\"]\n  20 -> 35 [size =\"44808192\"]\n  20 -> 36 [size =\"44808192\"]\n  20 -> 39 [size =\"44808192\"]\n  20 -> 40 [size =\"44808192\"]\n  20 -> 41 [size =\"44808192\"]\n  20 -> 42 [size =\"44808192\"]\n  20 -> 48 [size =\"44808192\"]\n  20 -> 49 [size =\"44808192\"]\n  21 [size=\"57418240\", alpha=\"0.07\", expect_size=\"22967296\"] \n  21 -> 36 [size =\"22967296\"]\n  21 -> 37 [size =\"22967296\"]\n  21 -> 39 [size =\"22967296\"]\n  21 -> 41 [size =\"22967296\"]\n  21 -> 48 [size =\"22967296\"]\n  21 -> 49 [size =\"22967296\"]\n  22 [size=\"42695680\", alpha=\"0.18\", expect_size=\"17078272\"] \n  22 -> 32 [size =\"17078272\"]\n  22 -> 33 [size =\"17078272\"]\n  22 -> 35 [size =\"17078272\"]\n  22 -> 36 [size =\"17078272\"]\n  22 -> 37 [size =\"17078272\"]\n  22 -> 39 [size =\"17078272\"]\n  22 -> 40 [size =\"17078272\"]\n  22 -> 43 [size =\"17078272\"]\n  22 -> 46 [size =\"17078272\"]\n  22 -> 48 [size =\"17078272\"]\n  22 -> 50 [size =\"17078272\"]\n  23 [size=\"23482880\", alpha=\"0.01\", expect_size=\"9393152\"] \n  23 -> 33 [size =\"9393152\"]\n  23 -> 35 [size =\"9393152\"]\n  23 -> 35 [size =\"9393152\"]\n  23 -> 36 [size =\"9393152\"]\n  23 -> 37 [size =\"9393152\"]\n  23 -> 42 [size =\"9393152\"]\n  23 -> 43 [size =\"9393152\"]\n  23 -> 44 [size =\"9393152\"]\n  23 -> 46 [size =\"9393152\"]\n  23 -> 48 [size =\"9393152\"]\n  23 -> 50 [size =\"9393152\"]\n  24 [size=\"25451520\", alpha=\"0.19\", expect_size=\"10180608\"] \n  24 -> 32 [size =\"10180608\"]\n  24 -> 35 [size =\"10180608\"]\n  24 -> 36 [size =\"10180608\"]\n  24 -> 39 [size =\"10180608\"]\n  24 -> 40 [size =\"10180608\"]\n  24 -> 42 [size =\"10180608\"]\n  24 -> 45 [size =\"10180608\"]\n  24 -> 50 [size =\"10180608\"]\n  25 [size=\"100661760\", alpha=\"0.14\", expect_size=\"40264704\"] \n  25 -> 32 [size =\"40264704\"]\n  25 -> 33 [size =\"40264704\"]\n  25 -> 35 [size =\"40264704\"]\n  25 -> 36 [size =\"40264704\"]\n  25 -> 37 [size =\"40264704\"]\n  25 -> 39 [size =\"40264704\"]\n  25 -> 40 [size =\"40264704\"]\n  25 -> 44 [size =\"40264704\"]\n  25 -> 48 [size =\"40264704\"]\n  25 -> 49 [size =\"40264704\"]\n  25 -> 50 [size =\"40264704\"]\n  26 [size=\"49377280\", alpha=\"0.14\", expect_size=\"19750912\"] \n  26 -> 33 [size =\"19750912\"]\n  26 -> 33 [size =\"19750912\"]\n  26 -> 36 [size =\"19750912\"]\n  26 -> 37 [size =\"19750912\"]\n  26 -> 42 [size =\"19750912\"]\n  26 -> 48 [size =\"19750912\"]\n  26 -> 49 [size =\"19750912\"]\n  26 -> 50 [size =\"19750912\"]\n  27 [size=\"71575040\", alpha=\"0.13\", expect_size=\"28630016\"] \n  27 -> 33 [size =\"28630016\"]\n  27 -> 36 [size =\"28630016\"]\n  27 -> 37 [size =\"28630016\"]\n  27 -> 39 [size =\"28630016\"]\n  27 -> 40 [size =\"28630016\"]\n  27 -> 42 [size =\"28630016\"]\n  27 -> 44 [size =\"28630016\"]\n  27 -> 46 [size =\"28630016\"]\n  27 -> 49 [size =\"28630016\"]\n  27 -> 50 [size =\"28630016\"]\n  28 [size=\"70417920\", alpha=\"0.14\", expect_size=\"28167168\"] \n  28 -> 37 [size =\"28167168\"]\n  28 -> 38 [size =\"28167168\"]\n  28 -> 40 [size =\"28167168\"]\n  28 -> 41 [size =\"28167168\"]\n  28 -> 42 [size =\"28167168\"]\n  28 -> 43 [size =\"28167168\"]\n  28 -> 44 [size =\"28167168\"]\n  28 -> 48 [size =\"28167168\"]\n  28 -> 49 [size =\"28167168\"]\n  29 [size=\"61376000\", alpha=\"0.17\", expect_size=\"24550400\"] \n  29 -> 32 [size =\"24550400\"]\n  29 -> 33 [size =\"24550400\"]\n  29 -> 35 [size =\"24550400\"]\n  29 -> 36 [size =\"24550400\"]\n  29 -> 37 [size =\"24550400\"]\n  29 -> 42 [size =\"24550400\"]\n  29 -> 46 [size =\"24550400\"]\n  29 -> 48 [size =\"24550400\"]\n  29 -> 49 [size =\"24550400\"]\n  30 [size=\"59650560\", alpha=\"0.16\", expect_size=\"23860224\"] \n  30 -> 33 [size =\"23860224\"]\n  30 -> 33 [size =\"23860224\"]\n  30 -> 36 [size =\"23860224\"]\n  30 -> 37 [size =\"23860224\"]\n  30 -> 42 [size =\"23860224\"]\n  30 -> 43 [size =\"23860224\"]\n  30 -> 44 [size =\"23860224\"]\n  30 -> 45 [size =\"23860224\"]\n  30 -> 46 [size =\"23860224\"]\n  30 -> 48 [size =\"23860224\"]\n  30 -> 49 [size =\"23860224\"]\n  31 [size=\"96468480\", alpha=\"0.06\", expect_size=\"38587392\"] \n  31 -> 32 [size =\"38587392\"]\n  31 -> 33 [size =\"38587392\"]\n  31 -> 37 [size =\"38587392\"]\n  31 -> 44 [size =\"38587392\"]\n  31 -> 48 [size =\"38587392\"]\n  31 -> 49 [size =\"38587392\"]\n  31 -> 50 [size =\"38587392\"]\n  32 [size=\"18588160\", alpha=\"0.01\", expect_size=\"7435264\"] \n  33 [size=\"122616320\", alpha=\"0.16\", expect_size=\"49046528\"] \n  34 [size=\"130191360\", alpha=\"0.05\", expect_size=\"52076544\"] \n  35 [size=\"122176000\", alpha=\"0.17\", expect_size=\"48870400\"] \n  36 [size=\"84436480\", alpha=\"0.05\", expect_size=\"33774592\"] \n  37 [size=\"50895360\", alpha=\"0.10\", expect_size=\"20358144\"] \n  38 [size=\"126983680\", alpha=\"0.04\", expect_size=\"50793472\"] \n  39 [size=\"93306880\", alpha=\"0.09\", expect_size=\"37322752\"] \n  40 [size=\"74711040\", alpha=\"0.10\", expect_size=\"29884416\"] \n  41 [size=\"53729280\", alpha=\"0.18\", expect_size=\"21491712\"] \n  42 [size=\"86986240\", alpha=\"0.12\", expect_size=\"34794496\"] \n  43 [size=\"92439040\", alpha=\"0.07\", expect_size=\"36975616\"] \n  44 [size=\"67066880\", alpha=\"0.05\", expect_size=\"26826752\"] \n  45 [size=\"93905920\", alpha=\"0.17\", expect_size=\"37562368\"] \n  46 [size=\"74910720\", alpha=\"0.16\", expect_size=\"29964288\"] \n  47 [size=\"103078400\", alpha=\"0.04\", expect_size=\"41231360\"] \n  48 [size=\"46292480\", alpha=\"0.02\", expect_size=\"18516992\"] \n  49 [size=\"72729600\", alpha=\"0.08\", expect_size=\"29091840\"] \n  50 [size=\"124515840\", alpha=\"0.02\", expect_size=\"49806336\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.60.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"94203904\", alpha=\"0.14\", expect_size=\"47101952\"] \n  1 -> 31 [size =\"47101952\"]\n  1 -> 36 [size =\"47101952\"]\n  1 -> 38 [size =\"47101952\"]\n  1 -> 46 [size =\"47101952\"]\n  1 -> 47 [size =\"47101952\"]\n  1 -> 48 [size =\"47101952\"]\n  1 -> 49 [size =\"47101952\"]\n  1 -> 50 [size =\"47101952\"]\n  2 [size=\"91992064\", alpha=\"0.11\", expect_size=\"45996032\"] \n  2 -> 33 [size =\"45996032\"]\n  2 -> 34 [size =\"45996032\"]\n  2 -> 35 [size =\"45996032\"]\n  2 -> 37 [size =\"45996032\"]\n  2 -> 38 [size =\"45996032\"]\n  2 -> 44 [size =\"45996032\"]\n  2 -> 47 [size =\"45996032\"]\n  2 -> 48 [size =\"45996032\"]\n  3 [size=\"23152640\", alpha=\"0.15\", expect_size=\"11576320\"] \n  3 -> 31 [size =\"11576320\"]\n  3 -> 32 [size =\"11576320\"]\n  3 -> 36 [size =\"11576320\"]\n  3 -> 38 [size =\"11576320\"]\n  3 -> 40 [size =\"11576320\"]\n  3 -> 42 [size =\"11576320\"]\n  3 -> 43 [size =\"11576320\"]\n  3 -> 47 [size =\"11576320\"]\n  3 -> 48 [size =\"11576320\"]\n  4 [size=\"26726400\", alpha=\"0.01\", expect_size=\"13363200\"] \n  4 -> 31 [size =\"13363200\"]\n  4 -> 36 [size =\"13363200\"]\n  4 -> 36 [size =\"13363200\"]\n  4 -> 38 [size =\"13363200\"]\n  4 -> 40 [size =\"13363200\"]\n  4 -> 41 [size =\"13363200\"]\n  4 -> 42 [size =\"13363200\"]\n  4 -> 47 [size =\"13363200\"]\n  4 -> 48 [size =\"13363200\"]\n  5 [size=\"55425024\", alpha=\"0.15\", expect_size=\"27712512\"] \n  5 -> 32 [size =\"27712512\"]\n  5 -> 34 [size =\"27712512\"]\n  5 -> 36 [size =\"27712512\"]\n  5 -> 38 [size =\"27712512\"]\n  5 -> 44 [size =\"27712512\"]\n  5 -> 47 [size =\"27712512\"]\n  6 [size=\"89028608\", alpha=\"0.02\", expect_size=\"44514304\"] \n  6 -> 34 [size =\"44514304\"]\n  6 -> 36 [size =\"44514304\"]\n  6 -> 38 [size =\"44514304\"]\n  6 -> 41 [size =\"44514304\"]\n  6 -> 46 [size =\"44514304\"]\n  6 -> 47 [size =\"44514304\"]\n  7 [size=\"30679040\", alpha=\"0.19\", expect_size=\"15339520\"] \n  7 -> 32 [size =\"15339520\"]\n  7 -> 36 [size =\"15339520\"]\n  7 -> 38 [size =\"15339520\"]\n  7 -> 40 [size =\"15339520\"]\n  7 -> 41 [size =\"15339520\"]\n  7 -> 44 [size =\"15339520\"]\n  7 -> 47 [size =\"15339520\"]\n  8 [size=\"31979520\", alpha=\"0.07\", expect_size=\"15989760\"] \n  8 -> 34 [size =\"15989760\"]\n  8 -> 36 [size =\"15989760\"]\n  8 -> 38 [size =\"15989760\"]\n  8 -> 42 [size =\"15989760\"]\n  8 -> 46 [size =\"15989760\"]\n  8 -> 47 [size =\"15989760\"]\n  8 -> 47 [size =\"15989760\"]\n  8 -> 50 [size =\"15989760\"]\n  9 [size=\"31358976\", alpha=\"0.17\", expect_size=\"15679488\"] \n  9 -> 32 [size =\"15679488\"]\n  9 -> 33 [size =\"15679488\"]\n  9 -> 34 [size =\"15679488\"]\n  9 -> 36 [size =\"15679488\"]\n  9 -> 38 [size =\"15679488\"]\n  9 -> 41 [size =\"15679488\"]\n  9 -> 42 [size =\"15679488\"]\n  9 -> 46 [size =\"15679488\"]\n  9 -> 47 [size =\"15679488\"]\n  10 [size=\"34672640\", alpha=\"0.05\", expect_size=\"17336320\"] \n  10 -> 31 [size =\"17336320\"]\n  10 -> 32 [size =\"17336320\"]\n  10 -> 34 [size =\"17336320\"]\n  10 -> 36 [size =\"17336320\"]\n  10 -> 38 [size =\"17336320\"]\n  10 -> 41 [size =\"17336320\"]\n  10 -> 46 [size =\"17336320\"]\n  10 -> 46 [size =\"17336320\"]\n  10 -> 47 [size =\"17336320\"]\n  11 [size=\"104673280\", alpha=\"0.03\", expect_size=\"52336640\"] \n  11 -> 31 [size =\"52336640\"]\n  11 -> 32 [size =\"52336640\"]\n  11 -> 34 [size =\"52336640\"]\n  11 -> 35 [size =\"52336640\"]\n  11 -> 36 [size =\"52336640\"]\n  11 -> 38 [size =\"52336640\"]\n  11 -> 39 [size =\"52336640\"]\n  11 -> 40 [size =\"52336640\"]\n  11 -> 46 [size =\"52336640\"]\n  11 -> 47 [size =\"52336640\"]\n  12 [size=\"76503040\", alpha=\"0.12\", expect_size=\"38251520\"] \n  12 -> 32 [size =\"38251520\"]\n  12 -> 32 [size =\"38251520\"]\n  12 -> 34 [size =\"38251520\"]\n  12 -> 35 [size =\"38251520\"]\n  12 -> 36 [size =\"38251520\"]\n  12 -> 38 [size =\"38251520\"]\n  12 -> 42 [size =\"38251520\"]\n  12 -> 47 [size =\"38251520\"]\n  13 [size=\"32602112\", alpha=\"0.09\", expect_size=\"16301056\"] \n  13 -> 32 [size =\"16301056\"]\n  13 -> 34 [size =\"16301056\"]\n  13 -> 36 [size =\"16301056\"]\n  13 -> 37 [size =\"16301056\"]\n  13 -> 38 [size =\"16301056\"]\n  13 -> 47 [size =\"16301056\"]\n  14 [size=\"103880704\", alpha=\"0.18\", expect_size=\"51940352\"] \n  14 -> 32 [size =\"51940352\"]\n  14 -> 34 [size =\"51940352\"]\n  14 -> 38 [size =\"51940352\"]\n  14 -> 39 [size =\"51940352\"]\n  14 -> 41 [size =\"51940352\"]\n  14 -> 47 [size =\"51940352\"]\n  14 -> 49 [size =\"51940352\"]\n  15 [size=\"15257600\", alpha=\"0.20\", expect_size=\"7628800\"] \n  15 -> 31 [size =\"7628800\"]\n  15 -> 35 [size =\"7628800\"]\n  15 -> 36 [size =\"7628800\"]\n  15 -> 39 [size =\"7628800\"]\n  15 -> 42 [size =\"7628800\"]\n  15 -> 47 [size =\"7628800\"]\n  15 -> 48 [size =\"7628800\"]\n  16 [size=\"85082112\", alpha=\"0.20\", expect_size=\"42541056\"] \n  16 -> 31 [size =\"42541056\"]\n  16 -> 32 [size =\"42541056\"]\n  16 -> 35 [size =\"42541056\"]\n  16 -> 36 [size =\"42541056\"]\n  16 -> 37 [size =\"42541056\"]\n  16 -> 38 [size =\"42541056\"]\n  16 -> 41 [size =\"42541056\"]\n  16 -> 47 [size =\"42541056\"]\n  16 -> 48 [size =\"42541056\"]\n  17 [size=\"92663808\", alpha=\"0.13\", expect_size=\"46331904\"] \n  17 -> 31 [size =\"46331904\"]\n  17 -> 32 [size =\"46331904\"]\n  17 -> 36 [size =\"46331904\"]\n  17 -> 37 [size =\"46331904\"]\n  17 -> 37 [size =\"46331904\"]\n  17 -> 38 [size =\"46331904\"]\n  17 -> 42 [size =\"46331904\"]\n  17 -> 47 [size =\"46331904\"]\n  18 [size=\"89214976\", alpha=\"0.18\", expect_size=\"44607488\"] \n  18 -> 31 [size =\"44607488\"]\n  18 -> 36 [size =\"44607488\"]\n  18 -> 36 [size =\"44607488\"]\n  18 -> 37 [size =\"44607488\"]\n  18 -> 38 [size =\"44607488\"]\n  18 -> 41 [size =\"44607488\"]\n  18 -> 42 [size =\"44607488\"]\n  18 -> 45 [size =\"44607488\"]\n  18 -> 46 [size =\"44607488\"]\n  18 -> 47 [size =\"44607488\"]\n  18 -> 48 [size =\"44607488\"]\n  19 [size=\"29468672\", alpha=\"0.12\", expect_size=\"14734336\"] \n  19 -> 32 [size =\"14734336\"]\n  19 -> 36 [size =\"14734336\"]\n  19 -> 37 [size =\"14734336\"]\n  19 -> 41 [size =\"14734336\"]\n  19 -> 42 [size =\"14734336\"]\n  19 -> 44 [size =\"14734336\"]\n  19 -> 47 [size =\"14734336\"]\n  19 -> 48 [size =\"14734336\"]\n  19 -> 49 [size =\"14734336\"]\n  20 [size=\"14778368\", alpha=\"0.10\", expect_size=\"7389184\"] \n  20 -> 32 [size =\"7389184\"]\n  20 -> 36 [size =\"7389184\"]\n  20 -> 41 [size =\"7389184\"]\n  20 -> 44 [size =\"7389184\"]\n  20 -> 48 [size =\"7389184\"]\n  20 -> 49 [size =\"7389184\"]\n  21 [size=\"39223296\", alpha=\"0.05\", expect_size=\"19611648\"] \n  21 -> 31 [size =\"19611648\"]\n  21 -> 32 [size =\"19611648\"]\n  21 -> 37 [size =\"19611648\"]\n  21 -> 41 [size =\"19611648\"]\n  21 -> 44 [size =\"19611648\"]\n  21 -> 48 [size =\"19611648\"]\n  22 [size=\"55326720\", alpha=\"0.18\", expect_size=\"27663360\"] \n  22 -> 31 [size =\"27663360\"]\n  22 -> 32 [size =\"27663360\"]\n  22 -> 34 [size =\"27663360\"]\n  22 -> 36 [size =\"27663360\"]\n  22 -> 38 [size =\"27663360\"]\n  22 -> 43 [size =\"27663360\"]\n  22 -> 46 [size =\"27663360\"]\n  22 -> 47 [size =\"27663360\"]\n  22 -> 49 [size =\"27663360\"]\n  23 [size=\"19918848\", alpha=\"0.13\", expect_size=\"9959424\"] \n  23 -> 31 [size =\"9959424\"]\n  23 -> 32 [size =\"9959424\"]\n  23 -> 34 [size =\"9959424\"]\n  23 -> 38 [size =\"9959424\"]\n  23 -> 42 [size =\"9959424\"]\n  23 -> 43 [size =\"9959424\"]\n  23 -> 46 [size =\"9959424\"]\n  23 -> 49 [size =\"9959424\"]\n  24 [size=\"62523392\", alpha=\"0.12\", expect_size=\"31261696\"] \n  24 -> 31 [size =\"31261696\"]\n  24 -> 34 [size =\"31261696\"]\n  24 -> 34 [size =\"31261696\"]\n  24 -> 35 [size =\"31261696\"]\n  24 -> 38 [size =\"31261696\"]\n  24 -> 44 [size =\"31261696\"]\n  24 -> 46 [size =\"31261696\"]\n  25 [size=\"54689792\", alpha=\"0.01\", expect_size=\"27344896\"] \n  25 -> 31 [size =\"27344896\"]\n  25 -> 36 [size =\"27344896\"]\n  25 -> 37 [size =\"27344896\"]\n  25 -> 38 [size =\"27344896\"]\n  25 -> 38 [size =\"27344896\"]\n  25 -> 41 [size =\"27344896\"]\n  25 -> 42 [size =\"27344896\"]\n  25 -> 49 [size =\"27344896\"]\n  25 -> 50 [size =\"27344896\"]\n  26 [size=\"53704704\", alpha=\"0.06\", expect_size=\"26852352\"] \n  26 -> 35 [size =\"26852352\"]\n  26 -> 36 [size =\"26852352\"]\n  26 -> 38 [size =\"26852352\"]\n  26 -> 48 [size =\"26852352\"]\n  27 [size=\"52752384\", alpha=\"0.15\", expect_size=\"26376192\"] \n  27 -> 31 [size =\"26376192\"]\n  27 -> 32 [size =\"26376192\"]\n  27 -> 34 [size =\"26376192\"]\n  27 -> 36 [size =\"26376192\"]\n  27 -> 38 [size =\"26376192\"]\n  27 -> 39 [size =\"26376192\"]\n  27 -> 44 [size =\"26376192\"]\n  27 -> 46 [size =\"26376192\"]\n  28 [size=\"21020672\", alpha=\"0.09\", expect_size=\"10510336\"] \n  28 -> 31 [size =\"10510336\"]\n  28 -> 32 [size =\"10510336\"]\n  28 -> 34 [size =\"10510336\"]\n  28 -> 35 [size =\"10510336\"]\n  28 -> 36 [size =\"10510336\"]\n  28 -> 37 [size =\"10510336\"]\n  28 -> 38 [size =\"10510336\"]\n  28 -> 40 [size =\"10510336\"]\n  28 -> 42 [size =\"10510336\"]\n  28 -> 44 [size =\"10510336\"]\n  28 -> 47 [size =\"10510336\"]\n  28 -> 48 [size =\"10510336\"]\n  29 [size=\"12816384\", alpha=\"0.07\", expect_size=\"6408192\"] \n  29 -> 31 [size =\"6408192\"]\n  29 -> 32 [size =\"6408192\"]\n  29 -> 34 [size =\"6408192\"]\n  29 -> 36 [size =\"6408192\"]\n  29 -> 38 [size =\"6408192\"]\n  29 -> 46 [size =\"6408192\"]\n  29 -> 47 [size =\"6408192\"]\n  29 -> 50 [size =\"6408192\"]\n  30 [size=\"70674432\", alpha=\"0.10\", expect_size=\"35337216\"] \n  30 -> 31 [size =\"35337216\"]\n  30 -> 32 [size =\"35337216\"]\n  30 -> 38 [size =\"35337216\"]\n  30 -> 46 [size =\"35337216\"]\n  30 -> 48 [size =\"35337216\"]\n  31 [size=\"23257088\", alpha=\"0.14\", expect_size=\"11628544\"] \n  32 [size=\"48658432\", alpha=\"0.11\", expect_size=\"24329216\"] \n  33 [size=\"39641088\", alpha=\"0.13\", expect_size=\"19820544\"] \n  34 [size=\"103243776\", alpha=\"0.15\", expect_size=\"51621888\"] \n  35 [size=\"66963456\", alpha=\"0.18\", expect_size=\"33481728\"] \n  36 [size=\"70115328\", alpha=\"0.16\", expect_size=\"35057664\"] \n  37 [size=\"96868352\", alpha=\"0.12\", expect_size=\"48434176\"] \n  38 [size=\"73046016\", alpha=\"0.05\", expect_size=\"36523008\"] \n  39 [size=\"20142080\", alpha=\"0.02\", expect_size=\"10071040\"] \n  40 [size=\"53405696\", alpha=\"0.20\", expect_size=\"26702848\"] \n  41 [size=\"102651904\", alpha=\"0.03\", expect_size=\"51325952\"] \n  42 [size=\"73322496\", alpha=\"0.17\", expect_size=\"36661248\"] \n  43 [size=\"31440896\", alpha=\"0.12\", expect_size=\"15720448\"] \n  44 [size=\"93493248\", alpha=\"0.18\", expect_size=\"46746624\"] \n  45 [size=\"69758976\", alpha=\"0.14\", expect_size=\"34879488\"] \n  46 [size=\"59385856\", alpha=\"0.19\", expect_size=\"29692928\"] \n  47 [size=\"42596352\", alpha=\"0.13\", expect_size=\"21298176\"] \n  48 [size=\"101570560\", alpha=\"0.09\", expect_size=\"50785280\"] \n  49 [size=\"31922176\", alpha=\"0.05\", expect_size=\"15961088\"] \n  50 [size=\"41379840\", alpha=\"0.14\", expect_size=\"20689920\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.61.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"96873813\", alpha=\"0.00\", expect_size=\"29062144\"] \n  2 [size=\"61361493\", alpha=\"0.10\", expect_size=\"18408448\"] \n  3 [size=\"96945493\", alpha=\"0.08\", expect_size=\"29083648\"] \n  3 -> 6 [size =\"29083648\"]\n  3 -> 7 [size =\"29083648\"]\n  3 -> 9 [size =\"29083648\"]\n  3 -> 10 [size =\"29083648\"]\n  4 [size=\"159573333\", alpha=\"0.18\", expect_size=\"47872000\"] \n  4 -> 8 [size =\"47872000\"]\n  5 [size=\"65116160\", alpha=\"0.10\", expect_size=\"19534848\"] \n  5 -> 7 [size =\"19534848\"]\n  6 [size=\"54272000\", alpha=\"0.14\", expect_size=\"16281600\"] \n  6 -> 11 [size =\"16281600\"]\n  7 [size=\"36710400\", alpha=\"0.19\", expect_size=\"11013120\"] \n  7 -> 12 [size =\"11013120\"]\n  7 -> 13 [size =\"11013120\"]\n  8 [size=\"41844053\", alpha=\"0.00\", expect_size=\"12553216\"] \n  8 -> 11 [size =\"12553216\"]\n  9 [size=\"41997653\", alpha=\"0.02\", expect_size=\"12599296\"] \n  9 -> 12 [size =\"12599296\"]\n  9 -> 14 [size =\"12599296\"]\n  10 [size=\"91648000\", alpha=\"0.14\", expect_size=\"27494400\"] \n  10 -> 11 [size =\"27494400\"]\n  11 [size=\"53527893\", alpha=\"0.20\", expect_size=\"16058368\"] \n  12 [size=\"55231147\", alpha=\"0.13\", expect_size=\"16569344\"] \n  12 -> 16 [size =\"16569344\"]\n  12 -> 17 [size =\"16569344\"]\n  13 [size=\"130297173\", alpha=\"0.16\", expect_size=\"39089152\"] \n  13 -> 15 [size =\"39089152\"]\n  13 -> 17 [size =\"39089152\"]\n  13 -> 18 [size =\"39089152\"]\n  14 [size=\"33099093\", alpha=\"0.14\", expect_size=\"9929728\"] \n  14 -> 16 [size =\"9929728\"]\n  14 -> 18 [size =\"9929728\"]\n  14 -> 19 [size =\"9929728\"]\n  15 [size=\"172120747\", alpha=\"0.12\", expect_size=\"51636224\"] \n  15 -> 20 [size =\"51636224\"]\n  15 -> 24 [size =\"51636224\"]\n  16 [size=\"93440000\", alpha=\"0.09\", expect_size=\"28032000\"] \n  16 -> 23 [size =\"28032000\"]\n  17 [size=\"42441387\", alpha=\"0.10\", expect_size=\"12732416\"] \n  17 -> 21 [size =\"12732416\"]\n  17 -> 22 [size =\"12732416\"]\n  17 -> 24 [size =\"12732416\"]\n  18 [size=\"30665387\", alpha=\"0.14\", expect_size=\"9199616\"] \n  18 -> 22 [size =\"9199616\"]\n  18 -> 24 [size =\"9199616\"]\n  19 [size=\"30679040\", alpha=\"0.19\", expect_size=\"9203712\"] \n  19 -> 21 [size =\"9203712\"]\n  20 [size=\"42909013\", alpha=\"0.08\", expect_size=\"12872704\"] \n  20 -> 25 [size =\"12872704\"]\n  20 -> 26 [size =\"12872704\"]\n  20 -> 29 [size =\"12872704\"]\n  20 -> 30 [size =\"12872704\"]\n  21 [size=\"154897067\", alpha=\"0.06\", expect_size=\"46469120\"] \n  21 -> 27 [size =\"46469120\"]\n  21 -> 28 [size =\"46469120\"]\n  21 -> 29 [size =\"46469120\"]\n  21 -> 30 [size =\"46469120\"]\n  22 [size=\"154429440\", alpha=\"0.11\", expect_size=\"46328832\"] \n  22 -> 28 [size =\"46328832\"]\n  23 [size=\"103154347\", alpha=\"0.05\", expect_size=\"30946304\"] \n  24 [size=\"70372693\", alpha=\"0.18\", expect_size=\"21111808\"] \n  24 -> 28 [size =\"21111808\"]\n  24 -> 29 [size =\"21111808\"]\n  25 [size=\"25146027\", alpha=\"0.16\", expect_size=\"7543808\"] \n  25 -> 32 [size =\"7543808\"]\n  25 -> 34 [size =\"7543808\"]\n  26 [size=\"119705600\", alpha=\"0.20\", expect_size=\"35911680\"] \n  26 -> 31 [size =\"35911680\"]\n  26 -> 32 [size =\"35911680\"]\n  26 -> 35 [size =\"35911680\"]\n  27 [size=\"33153707\", alpha=\"0.05\", expect_size=\"9946112\"] \n  27 -> 31 [size =\"9946112\"]\n  27 -> 34 [size =\"9946112\"]\n  28 [size=\"112762880\", alpha=\"0.14\", expect_size=\"33828864\"] \n  28 -> 31 [size =\"33828864\"]\n  28 -> 33 [size =\"33828864\"]\n  28 -> 34 [size =\"33828864\"]\n  28 -> 35 [size =\"33828864\"]\n  29 [size=\"65389227\", alpha=\"0.06\", expect_size=\"19616768\"] \n  29 -> 32 [size =\"19616768\"]\n  29 -> 33 [size =\"19616768\"]\n  29 -> 35 [size =\"19616768\"]\n  30 [size=\"57391787\", alpha=\"0.07\", expect_size=\"17217536\"] \n  30 -> 33 [size =\"17217536\"]\n  31 [size=\"117626880\", alpha=\"0.13\", expect_size=\"35288064\"] \n  31 -> 39 [size =\"35288064\"]\n  31 -> 42 [size =\"35288064\"]\n  32 [size=\"168198827\", alpha=\"0.04\", expect_size=\"50459648\"] \n  32 -> 38 [size =\"50459648\"]\n  32 -> 40 [size =\"50459648\"]\n  32 -> 42 [size =\"50459648\"]\n  33 [size=\"95709867\", alpha=\"0.09\", expect_size=\"28712960\"] \n  33 -> 36 [size =\"28712960\"]\n  33 -> 37 [size =\"28712960\"]\n  33 -> 40 [size =\"28712960\"]\n  33 -> 41 [size =\"28712960\"]\n  34 [size=\"136922453\", alpha=\"0.16\", expect_size=\"41076736\"] \n  34 -> 36 [size =\"41076736\"]\n  34 -> 39 [size =\"41076736\"]\n  34 -> 41 [size =\"41076736\"]\n  35 [size=\"119357440\", alpha=\"0.03\", expect_size=\"35807232\"] \n  35 -> 42 [size =\"35807232\"]\n  36 [size=\"90664960\", alpha=\"0.19\", expect_size=\"27199488\"] \n  36 -> 46 [size =\"27199488\"]\n  37 [size=\"87633920\", alpha=\"0.19\", expect_size=\"26290176\"] \n  37 -> 45 [size =\"26290176\"]\n  37 -> 48 [size =\"26290176\"]\n  38 [size=\"129505280\", alpha=\"0.00\", expect_size=\"38851584\"] \n  38 -> 43 [size =\"38851584\"]\n  38 -> 44 [size =\"38851584\"]\n  38 -> 48 [size =\"38851584\"]\n  38 -> 50 [size =\"38851584\"]\n  39 [size=\"83360427\", alpha=\"0.03\", expect_size=\"25008128\"] \n  39 -> 47 [size =\"25008128\"]\n  39 -> 48 [size =\"25008128\"]\n  39 -> 49 [size =\"25008128\"]\n  40 [size=\"131007147\", alpha=\"0.09\", expect_size=\"39302144\"] \n  41 [size=\"32044373\", alpha=\"0.13\", expect_size=\"9613312\"] \n  41 -> 44 [size =\"9613312\"]\n  41 -> 49 [size =\"9613312\"]\n  42 [size=\"137099947\", alpha=\"0.14\", expect_size=\"41129984\"] \n  42 -> 46 [size =\"41129984\"]\n  42 -> 48 [size =\"41129984\"]\n  42 -> 49 [size =\"41129984\"]\n  43 [size=\"169359360\", alpha=\"0.06\", expect_size=\"50807808\"] \n  44 [size=\"84353707\", alpha=\"0.05\", expect_size=\"25306112\"] \n  45 [size=\"54999040\", alpha=\"0.04\", expect_size=\"16499712\"] \n  46 [size=\"78650027\", alpha=\"0.17\", expect_size=\"23595008\"] \n  47 [size=\"73984000\", alpha=\"0.12\", expect_size=\"22195200\"] \n  48 [size=\"65972907\", alpha=\"0.18\", expect_size=\"19791872\"] \n  49 [size=\"67805867\", alpha=\"0.11\", expect_size=\"20341760\"] \n  50 [size=\"92685653\", alpha=\"0.09\", expect_size=\"27805696\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.62.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"20626773\", alpha=\"0.16\", expect_size=\"6188032\"] \n  1 -> 4 [size =\"6188032\"]\n  2 [size=\"53964800\", alpha=\"0.06\", expect_size=\"16189440\"] \n  2 -> 4 [size =\"16189440\"]\n  2 -> 5 [size =\"16189440\"]\n  3 [size=\"30624427\", alpha=\"0.15\", expect_size=\"9187328\"] \n  4 [size=\"102287360\", alpha=\"0.12\", expect_size=\"30686208\"] \n  4 -> 6 [size =\"30686208\"]\n  5 [size=\"165034667\", alpha=\"0.16\", expect_size=\"49510400\"] \n  5 -> 6 [size =\"49510400\"]\n  5 -> 7 [size =\"49510400\"]\n  6 [size=\"156119040\", alpha=\"0.14\", expect_size=\"46835712\"] \n  6 -> 8 [size =\"46835712\"]\n  6 -> 9 [size =\"46835712\"]\n  7 [size=\"112319147\", alpha=\"0.17\", expect_size=\"33695744\"] \n  7 -> 8 [size =\"33695744\"]\n  7 -> 9 [size =\"33695744\"]\n  8 [size=\"81001813\", alpha=\"0.09\", expect_size=\"24300544\"] \n  8 -> 10 [size =\"24300544\"]\n  8 -> 11 [size =\"24300544\"]\n  8 -> 12 [size =\"24300544\"]\n  9 [size=\"124573013\", alpha=\"0.17\", expect_size=\"37371904\"] \n  9 -> 10 [size =\"37371904\"]\n  9 -> 11 [size =\"37371904\"]\n  9 -> 12 [size =\"37371904\"]\n  10 [size=\"120934400\", alpha=\"0.13\", expect_size=\"36280320\"] \n  11 [size=\"158699520\", alpha=\"0.01\", expect_size=\"47609856\"] \n  11 -> 13 [size =\"47609856\"]\n  12 [size=\"125552640\", alpha=\"0.15\", expect_size=\"37665792\"] \n  12 -> 14 [size =\"37665792\"]\n  13 [size=\"172943360\", alpha=\"0.05\", expect_size=\"51883008\"] \n  13 -> 15 [size =\"51883008\"]\n  13 -> 17 [size =\"51883008\"]\n  14 [size=\"131211947\", alpha=\"0.12\", expect_size=\"39363584\"] \n  14 -> 15 [size =\"39363584\"]\n  14 -> 16 [size =\"39363584\"]\n  15 [size=\"66164053\", alpha=\"0.02\", expect_size=\"19849216\"] \n  15 -> 19 [size =\"19849216\"]\n  15 -> 20 [size =\"19849216\"]\n  16 [size=\"31996587\", alpha=\"0.16\", expect_size=\"9598976\"] \n  16 -> 18 [size =\"9598976\"]\n  16 -> 20 [size =\"9598976\"]\n  17 [size=\"139933013\", alpha=\"0.18\", expect_size=\"41979904\"] \n  17 -> 18 [size =\"41979904\"]\n  17 -> 20 [size =\"41979904\"]\n  18 [size=\"117582507\", alpha=\"0.17\", expect_size=\"35274752\"] \n  18 -> 22 [size =\"35274752\"]\n  19 [size=\"28938240\", alpha=\"0.14\", expect_size=\"8681472\"] \n  19 -> 21 [size =\"8681472\"]\n  20 [size=\"163730773\", alpha=\"0.00\", expect_size=\"49119232\"] \n  20 -> 21 [size =\"49119232\"]\n  20 -> 22 [size =\"49119232\"]\n  21 [size=\"107410773\", alpha=\"0.06\", expect_size=\"32223232\"] \n  21 -> 24 [size =\"32223232\"]\n  22 [size=\"114831360\", alpha=\"0.17\", expect_size=\"34449408\"] \n  22 -> 23 [size =\"34449408\"]\n  22 -> 24 [size =\"34449408\"]\n  23 [size=\"72782507\", alpha=\"0.09\", expect_size=\"21834752\"] \n  23 -> 25 [size =\"21834752\"]\n  23 -> 26 [size =\"21834752\"]\n  24 [size=\"109957120\", alpha=\"0.12\", expect_size=\"32987136\"] \n  24 -> 25 [size =\"32987136\"]\n  24 -> 26 [size =\"32987136\"]\n  24 -> 27 [size =\"32987136\"]\n  25 [size=\"48827733\", alpha=\"0.14\", expect_size=\"14648320\"] \n  26 [size=\"62924800\", alpha=\"0.14\", expect_size=\"18877440\"] \n  26 -> 30 [size =\"18877440\"]\n  27 [size=\"34867200\", alpha=\"0.06\", expect_size=\"10460160\"] \n  27 -> 28 [size =\"10460160\"]\n  27 -> 29 [size =\"10460160\"]\n  28 [size=\"21957973\", alpha=\"0.05\", expect_size=\"6587392\"] \n  29 [size=\"154654720\", alpha=\"0.19\", expect_size=\"46396416\"] \n  29 -> 31 [size =\"46396416\"]\n  29 -> 32 [size =\"46396416\"]\n  30 [size=\"111199573\", alpha=\"0.05\", expect_size=\"33359872\"] \n  30 -> 31 [size =\"33359872\"]\n  30 -> 32 [size =\"33359872\"]\n  30 -> 33 [size =\"33359872\"]\n  31 [size=\"112315733\", alpha=\"0.09\", expect_size=\"33694720\"] \n  31 -> 34 [size =\"33694720\"]\n  31 -> 35 [size =\"33694720\"]\n  32 [size=\"161157120\", alpha=\"0.08\", expect_size=\"48347136\"] \n  32 -> 34 [size =\"48347136\"]\n  32 -> 35 [size =\"48347136\"]\n  33 [size=\"136922453\", alpha=\"0.06\", expect_size=\"41076736\"] \n  33 -> 35 [size =\"41076736\"]\n  34 [size=\"52770133\", alpha=\"0.18\", expect_size=\"15831040\"] \n  34 -> 37 [size =\"15831040\"]\n  34 -> 38 [size =\"15831040\"]\n  35 [size=\"150790827\", alpha=\"0.17\", expect_size=\"45237248\"] \n  35 -> 36 [size =\"45237248\"]\n  35 -> 38 [size =\"45237248\"]\n  36 [size=\"106693973\", alpha=\"0.17\", expect_size=\"32008192\"] \n  36 -> 40 [size =\"32008192\"]\n  37 [size=\"59118933\", alpha=\"0.13\", expect_size=\"17735680\"] \n  37 -> 39 [size =\"17735680\"]\n  38 [size=\"102915413\", alpha=\"0.02\", expect_size=\"30874624\"] \n  38 -> 40 [size =\"30874624\"]\n  39 [size=\"144315733\", alpha=\"0.12\", expect_size=\"43294720\"] \n  39 -> 42 [size =\"43294720\"]\n  40 [size=\"133140480\", alpha=\"0.01\", expect_size=\"39942144\"] \n  40 -> 41 [size =\"39942144\"]\n  40 -> 42 [size =\"39942144\"]\n  40 -> 43 [size =\"39942144\"]\n  41 [size=\"172840960\", alpha=\"0.01\", expect_size=\"51852288\"] \n  42 [size=\"90074453\", alpha=\"0.14\", expect_size=\"27022336\"] \n  42 -> 44 [size =\"27022336\"]\n  42 -> 45 [size =\"27022336\"]\n  43 [size=\"150200320\", alpha=\"0.13\", expect_size=\"45060096\"] \n  43 -> 44 [size =\"45060096\"]\n  43 -> 45 [size =\"45060096\"]\n  44 [size=\"36833280\", alpha=\"0.05\", expect_size=\"11049984\"] \n  44 -> 46 [size =\"11049984\"]\n  44 -> 47 [size =\"11049984\"]\n  45 [size=\"20995413\", alpha=\"0.00\", expect_size=\"6298624\"] \n  45 -> 47 [size =\"6298624\"]\n  45 -> 48 [size =\"6298624\"]\n  46 [size=\"151377920\", alpha=\"0.01\", expect_size=\"45413376\"] \n  47 [size=\"127924907\", alpha=\"0.05\", expect_size=\"38377472\"] \n  47 -> 49 [size =\"38377472\"]\n  47 -> 50 [size =\"38377472\"]\n  48 [size=\"73099947\", alpha=\"0.09\", expect_size=\"21929984\"] \n  48 -> 49 [size =\"21929984\"]\n  49 [size=\"87005867\", alpha=\"0.10\", expect_size=\"26101760\"] \n  50 [size=\"23821653\", alpha=\"0.03\", expect_size=\"7146496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.63.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104308053\", alpha=\"0.20\", expect_size=\"31292416\"] \n  1 -> 4 [size =\"31292416\"]\n  2 [size=\"45919573\", alpha=\"0.03\", expect_size=\"13775872\"] \n  2 -> 4 [size =\"13775872\"]\n  2 -> 5 [size =\"13775872\"]\n  3 [size=\"134341973\", alpha=\"0.07\", expect_size=\"40302592\"] \n  4 [size=\"80298667\", alpha=\"0.02\", expect_size=\"24089600\"] \n  4 -> 8 [size =\"24089600\"]\n  5 [size=\"169055573\", alpha=\"0.16\", expect_size=\"50716672\"] \n  5 -> 6 [size =\"50716672\"]\n  5 -> 7 [size =\"50716672\"]\n  6 [size=\"142551040\", alpha=\"0.20\", expect_size=\"42765312\"] \n  6 -> 11 [size =\"42765312\"]\n  7 [size=\"82691413\", alpha=\"0.19\", expect_size=\"24807424\"] \n  8 [size=\"135174827\", alpha=\"0.02\", expect_size=\"40552448\"] \n  8 -> 9 [size =\"40552448\"]\n  8 -> 10 [size =\"40552448\"]\n  9 [size=\"115094187\", alpha=\"0.00\", expect_size=\"34528256\"] \n  9 -> 13 [size =\"34528256\"]\n  10 [size=\"166891520\", alpha=\"0.09\", expect_size=\"50067456\"] \n  10 -> 12 [size =\"50067456\"]\n  10 -> 14 [size =\"50067456\"]\n  11 [size=\"113237333\", alpha=\"0.12\", expect_size=\"33971200\"] \n  11 -> 13 [size =\"33971200\"]\n  12 [size=\"113049600\", alpha=\"0.01\", expect_size=\"33914880\"] \n  13 [size=\"133014187\", alpha=\"0.11\", expect_size=\"39904256\"] \n  13 -> 15 [size =\"39904256\"]\n  14 [size=\"34484907\", alpha=\"0.04\", expect_size=\"10345472\"] \n  14 -> 15 [size =\"10345472\"]\n  14 -> 16 [size =\"10345472\"]\n  15 [size=\"47363413\", alpha=\"0.01\", expect_size=\"14209024\"] \n  15 -> 17 [size =\"14209024\"]\n  15 -> 18 [size =\"14209024\"]\n  15 -> 19 [size =\"14209024\"]\n  16 [size=\"170926080\", alpha=\"0.14\", expect_size=\"51277824\"] \n  17 [size=\"167031467\", alpha=\"0.04\", expect_size=\"50109440\"] \n  17 -> 21 [size =\"50109440\"]\n  17 -> 22 [size =\"50109440\"]\n  18 [size=\"158184107\", alpha=\"0.20\", expect_size=\"47455232\"] \n  18 -> 20 [size =\"47455232\"]\n  18 -> 21 [size =\"47455232\"]\n  18 -> 22 [size =\"47455232\"]\n  19 [size=\"172189013\", alpha=\"0.13\", expect_size=\"51656704\"] \n  19 -> 20 [size =\"51656704\"]\n  20 [size=\"17602560\", alpha=\"0.03\", expect_size=\"5280768\"] \n  20 -> 23 [size =\"5280768\"]\n  20 -> 24 [size =\"5280768\"]\n  21 [size=\"86483627\", alpha=\"0.04\", expect_size=\"25945088\"] \n  21 -> 25 [size =\"25945088\"]\n  22 [size=\"21937493\", alpha=\"0.08\", expect_size=\"6581248\"] \n  23 [size=\"29545813\", alpha=\"0.08\", expect_size=\"8863744\"] \n  23 -> 26 [size =\"8863744\"]\n  23 -> 27 [size =\"8863744\"]\n  24 [size=\"113421653\", alpha=\"0.15\", expect_size=\"34026496\"] \n  25 [size=\"141496320\", alpha=\"0.02\", expect_size=\"42448896\"] \n  26 [size=\"148551680\", alpha=\"0.04\", expect_size=\"44565504\"] \n  26 -> 29 [size =\"44565504\"]\n  27 [size=\"104164693\", alpha=\"0.15\", expect_size=\"31249408\"] \n  27 -> 28 [size =\"31249408\"]\n  28 [size=\"135082667\", alpha=\"0.01\", expect_size=\"40524800\"] \n  28 -> 31 [size =\"40524800\"]\n  29 [size=\"133253120\", alpha=\"0.19\", expect_size=\"39975936\"] \n  29 -> 30 [size =\"39975936\"]\n  30 [size=\"78605653\", alpha=\"0.17\", expect_size=\"23581696\"] \n  30 -> 32 [size =\"23581696\"]\n  31 [size=\"101734400\", alpha=\"0.06\", expect_size=\"30520320\"] \n  31 -> 33 [size =\"30520320\"]\n  31 -> 34 [size =\"30520320\"]\n  32 [size=\"132188160\", alpha=\"0.08\", expect_size=\"39656448\"] \n  32 -> 36 [size =\"39656448\"]\n  33 [size=\"41123840\", alpha=\"0.04\", expect_size=\"12337152\"] \n  33 -> 36 [size =\"12337152\"]\n  33 -> 37 [size =\"12337152\"]\n  34 [size=\"102696960\", alpha=\"0.02\", expect_size=\"30809088\"] \n  34 -> 35 [size =\"30809088\"]\n  35 [size=\"65163947\", alpha=\"0.05\", expect_size=\"19549184\"] \n  35 -> 38 [size =\"19549184\"]\n  35 -> 39 [size =\"19549184\"]\n  36 [size=\"80100693\", alpha=\"0.06\", expect_size=\"24030208\"] \n  36 -> 39 [size =\"24030208\"]\n  36 -> 40 [size =\"24030208\"]\n  37 [size=\"115302400\", alpha=\"0.07\", expect_size=\"34590720\"] \n  37 -> 40 [size =\"34590720\"]\n  38 [size=\"78694400\", alpha=\"0.06\", expect_size=\"23608320\"] \n  38 -> 41 [size =\"23608320\"]\n  39 [size=\"87982080\", alpha=\"0.04\", expect_size=\"26394624\"] \n  39 -> 42 [size =\"26394624\"]\n  40 [size=\"83496960\", alpha=\"0.02\", expect_size=\"25049088\"] \n  40 -> 41 [size =\"25049088\"]\n  41 [size=\"57364480\", alpha=\"0.10\", expect_size=\"17209344\"] \n  41 -> 43 [size =\"17209344\"]\n  42 [size=\"105352533\", alpha=\"0.17\", expect_size=\"31605760\"] \n  42 -> 44 [size =\"31605760\"]\n  42 -> 45 [size =\"31605760\"]\n  43 [size=\"165744640\", alpha=\"0.06\", expect_size=\"49723392\"] \n  44 [size=\"39516160\", alpha=\"0.08\", expect_size=\"11854848\"] \n  44 -> 47 [size =\"11854848\"]\n  45 [size=\"58245120\", alpha=\"0.05\", expect_size=\"17473536\"] \n  45 -> 46 [size =\"17473536\"]\n  46 [size=\"94535680\", alpha=\"0.19\", expect_size=\"28360704\"] \n  47 [size=\"144554667\", alpha=\"0.04\", expect_size=\"43366400\"] \n  47 -> 48 [size =\"43366400\"]\n  47 -> 49 [size =\"43366400\"]\n  47 -> 50 [size =\"43366400\"]\n  48 [size=\"43281067\", alpha=\"0.04\", expect_size=\"12984320\"] \n  49 [size=\"88715947\", alpha=\"0.18\", expect_size=\"26614784\"] \n  50 [size=\"120999253\", alpha=\"0.01\", expect_size=\"36299776\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.64.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"104366080\", alpha=\"0.16\", expect_size=\"31309824\"] \n  1 -> 5 [size =\"31309824\"]\n  2 [size=\"114312533\", alpha=\"0.04\", expect_size=\"34293760\"] \n  3 [size=\"32580267\", alpha=\"0.18\", expect_size=\"9774080\"] \n  3 -> 4 [size =\"9774080\"]\n  3 -> 5 [size =\"9774080\"]\n  3 -> 6 [size =\"9774080\"]\n  4 [size=\"60917760\", alpha=\"0.16\", expect_size=\"18275328\"] \n  4 -> 7 [size =\"18275328\"]\n  4 -> 9 [size =\"18275328\"]\n  5 [size=\"147630080\", alpha=\"0.07\", expect_size=\"44289024\"] \n  5 -> 7 [size =\"44289024\"]\n  6 [size=\"117944320\", alpha=\"0.10\", expect_size=\"35383296\"] \n  6 -> 8 [size =\"35383296\"]\n  7 [size=\"139001173\", alpha=\"0.08\", expect_size=\"41700352\"] \n  7 -> 13 [size =\"41700352\"]\n  8 [size=\"73349120\", alpha=\"0.15\", expect_size=\"22004736\"] \n  8 -> 10 [size =\"22004736\"]\n  8 -> 12 [size =\"22004736\"]\n  8 -> 13 [size =\"22004736\"]\n  9 [size=\"147698347\", alpha=\"0.15\", expect_size=\"44309504\"] \n  9 -> 11 [size =\"44309504\"]\n  10 [size=\"134427307\", alpha=\"0.18\", expect_size=\"40328192\"] \n  10 -> 14 [size =\"40328192\"]\n  11 [size=\"127255893\", alpha=\"0.06\", expect_size=\"38176768\"] \n  11 -> 14 [size =\"38176768\"]\n  12 [size=\"96187733\", alpha=\"0.18\", expect_size=\"28856320\"] \n  12 -> 15 [size =\"28856320\"]\n  13 [size=\"128942080\", alpha=\"0.02\", expect_size=\"38682624\"] \n  14 [size=\"115264853\", alpha=\"0.04\", expect_size=\"34579456\"] \n  14 -> 16 [size =\"34579456\"]\n  15 [size=\"81186133\", alpha=\"0.02\", expect_size=\"24355840\"] \n  16 [size=\"133509120\", alpha=\"0.19\", expect_size=\"40052736\"] \n  16 -> 17 [size =\"40052736\"]\n  16 -> 18 [size =\"40052736\"]\n  16 -> 19 [size =\"40052736\"]\n  16 -> 20 [size =\"40052736\"]\n  17 [size=\"56418987\", alpha=\"0.13\", expect_size=\"16925696\"] \n  17 -> 24 [size =\"16925696\"]\n  18 [size=\"120736427\", alpha=\"0.07\", expect_size=\"36220928\"] \n  18 -> 21 [size =\"36220928\"]\n  18 -> 22 [size =\"36220928\"]\n  19 [size=\"80575147\", alpha=\"0.05\", expect_size=\"24172544\"] \n  19 -> 21 [size =\"24172544\"]\n  20 [size=\"37369173\", alpha=\"0.18\", expect_size=\"11210752\"] \n  20 -> 22 [size =\"11210752\"]\n  20 -> 23 [size =\"11210752\"]\n  20 -> 24 [size =\"11210752\"]\n  21 [size=\"25507840\", alpha=\"0.02\", expect_size=\"7652352\"] \n  21 -> 26 [size =\"7652352\"]\n  22 [size=\"73850880\", alpha=\"0.18\", expect_size=\"22155264\"] \n  22 -> 25 [size =\"22155264\"]\n  22 -> 26 [size =\"22155264\"]\n  22 -> 27 [size =\"22155264\"]\n  23 [size=\"58501120\", alpha=\"0.16\", expect_size=\"17550336\"] \n  23 -> 27 [size =\"17550336\"]\n  24 [size=\"76503040\", alpha=\"0.20\", expect_size=\"22950912\"] \n  24 -> 25 [size =\"22950912\"]\n  24 -> 26 [size =\"22950912\"]\n  25 [size=\"109779627\", alpha=\"0.20\", expect_size=\"32933888\"] \n  26 [size=\"124296533\", alpha=\"0.13\", expect_size=\"37288960\"] \n  27 [size=\"116084053\", alpha=\"0.01\", expect_size=\"34825216\"] \n  27 -> 28 [size =\"34825216\"]\n  28 [size=\"60770987\", alpha=\"0.17\", expect_size=\"18231296\"] \n  28 -> 29 [size =\"18231296\"]\n  28 -> 30 [size =\"18231296\"]\n  29 [size=\"116797440\", alpha=\"0.09\", expect_size=\"35039232\"] \n  29 -> 32 [size =\"35039232\"]\n  30 [size=\"155187200\", alpha=\"0.16\", expect_size=\"46556160\"] \n  30 -> 31 [size =\"46556160\"]\n  31 [size=\"137338880\", alpha=\"0.17\", expect_size=\"41201664\"] \n  31 -> 34 [size =\"41201664\"]\n  32 [size=\"150142293\", alpha=\"0.08\", expect_size=\"45042688\"] \n  32 -> 33 [size =\"45042688\"]\n  33 [size=\"133150720\", alpha=\"0.13\", expect_size=\"39945216\"] \n  33 -> 36 [size =\"39945216\"]\n  33 -> 37 [size =\"39945216\"]\n  34 [size=\"101471573\", alpha=\"0.10\", expect_size=\"30441472\"] \n  34 -> 35 [size =\"30441472\"]\n  34 -> 38 [size =\"30441472\"]\n  35 [size=\"98542933\", alpha=\"0.16\", expect_size=\"29562880\"] \n  35 -> 39 [size =\"29562880\"]\n  35 -> 40 [size =\"29562880\"]\n  36 [size=\"97232213\", alpha=\"0.16\", expect_size=\"29169664\"] \n  37 [size=\"40727893\", alpha=\"0.02\", expect_size=\"12218368\"] \n  37 -> 41 [size =\"12218368\"]\n  38 [size=\"50554880\", alpha=\"0.00\", expect_size=\"15166464\"] \n  38 -> 40 [size =\"15166464\"]\n  38 -> 42 [size =\"15166464\"]\n  39 [size=\"25299627\", alpha=\"0.07\", expect_size=\"7589888\"] \n  40 [size=\"95187627\", alpha=\"0.16\", expect_size=\"28556288\"] \n  40 -> 44 [size =\"28556288\"]\n  41 [size=\"62597120\", alpha=\"0.06\", expect_size=\"18779136\"] \n  41 -> 43 [size =\"18779136\"]\n  41 -> 45 [size =\"18779136\"]\n  42 [size=\"37311147\", alpha=\"0.03\", expect_size=\"11193344\"] \n  42 -> 45 [size =\"11193344\"]\n  43 [size=\"98041173\", alpha=\"0.06\", expect_size=\"29412352\"] \n  44 [size=\"41683627\", alpha=\"0.15\", expect_size=\"12505088\"] \n  45 [size=\"123313493\", alpha=\"0.17\", expect_size=\"36994048\"] \n  45 -> 46 [size =\"36994048\"]\n  45 -> 47 [size =\"36994048\"]\n  46 [size=\"92071253\", alpha=\"0.12\", expect_size=\"27621376\"] \n  46 -> 48 [size =\"27621376\"]\n  46 -> 49 [size =\"27621376\"]\n  46 -> 50 [size =\"27621376\"]\n  47 [size=\"63993173\", alpha=\"0.00\", expect_size=\"19197952\"] \n  47 -> 50 [size =\"19197952\"]\n  48 [size=\"78018560\", alpha=\"0.14\", expect_size=\"23405568\"] \n  49 [size=\"80124587\", alpha=\"0.20\", expect_size=\"24037376\"] \n  50 [size=\"133410133\", alpha=\"0.03\", expect_size=\"40023040\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.65.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"46981120\", alpha=\"0.07\", expect_size=\"14094336\"] \n  1 -> 7 [size =\"14094336\"]\n  1 -> 12 [size =\"14094336\"]\n  2 [size=\"63006720\", alpha=\"0.01\", expect_size=\"18902016\"] \n  2 -> 7 [size =\"18902016\"]\n  2 -> 8 [size =\"18902016\"]\n  2 -> 9 [size =\"18902016\"]\n  2 -> 10 [size =\"18902016\"]\n  2 -> 11 [size =\"18902016\"]\n  2 -> 12 [size =\"18902016\"]\n  3 [size=\"78912853\", alpha=\"0.01\", expect_size=\"23673856\"] \n  3 -> 7 [size =\"23673856\"]\n  3 -> 9 [size =\"23673856\"]\n  3 -> 10 [size =\"23673856\"]\n  3 -> 12 [size =\"23673856\"]\n  4 [size=\"91897173\", alpha=\"0.04\", expect_size=\"27569152\"] \n  4 -> 8 [size =\"27569152\"]\n  4 -> 9 [size =\"27569152\"]\n  4 -> 10 [size =\"27569152\"]\n  5 [size=\"164628480\", alpha=\"0.20\", expect_size=\"49388544\"] \n  5 -> 8 [size =\"49388544\"]\n  5 -> 9 [size =\"49388544\"]\n  5 -> 12 [size =\"49388544\"]\n  6 [size=\"86142293\", alpha=\"0.03\", expect_size=\"25842688\"] \n  6 -> 9 [size =\"25842688\"]\n  6 -> 10 [size =\"25842688\"]\n  6 -> 12 [size =\"25842688\"]\n  7 [size=\"145797120\", alpha=\"0.15\", expect_size=\"43739136\"] \n  7 -> 13 [size =\"43739136\"]\n  7 -> 14 [size =\"43739136\"]\n  7 -> 17 [size =\"43739136\"]\n  7 -> 18 [size =\"43739136\"]\n  8 [size=\"157583360\", alpha=\"0.05\", expect_size=\"47275008\"] \n  8 -> 13 [size =\"47275008\"]\n  8 -> 14 [size =\"47275008\"]\n  8 -> 16 [size =\"47275008\"]\n  8 -> 18 [size =\"47275008\"]\n  9 [size=\"58675200\", alpha=\"0.07\", expect_size=\"17602560\"] \n  9 -> 13 [size =\"17602560\"]\n  9 -> 16 [size =\"17602560\"]\n  9 -> 18 [size =\"17602560\"]\n  10 [size=\"64955733\", alpha=\"0.08\", expect_size=\"19486720\"] \n  10 -> 16 [size =\"19486720\"]\n  10 -> 16 [size =\"19486720\"]\n  10 -> 18 [size =\"19486720\"]\n  11 [size=\"62208000\", alpha=\"0.12\", expect_size=\"18662400\"] \n  11 -> 13 [size =\"18662400\"]\n  11 -> 16 [size =\"18662400\"]\n  11 -> 17 [size =\"18662400\"]\n  11 -> 18 [size =\"18662400\"]\n  12 [size=\"116722347\", alpha=\"0.11\", expect_size=\"35016704\"] \n  12 -> 13 [size =\"35016704\"]\n  12 -> 15 [size =\"35016704\"]\n  12 -> 16 [size =\"35016704\"]\n  12 -> 17 [size =\"35016704\"]\n  13 [size=\"128399360\", alpha=\"0.14\", expect_size=\"38519808\"] \n  13 -> 19 [size =\"38519808\"]\n  13 -> 20 [size =\"38519808\"]\n  13 -> 23 [size =\"38519808\"]\n  13 -> 24 [size =\"38519808\"]\n  14 [size=\"136311467\", alpha=\"0.13\", expect_size=\"40893440\"] \n  14 -> 19 [size =\"40893440\"]\n  14 -> 21 [size =\"40893440\"]\n  14 -> 23 [size =\"40893440\"]\n  14 -> 24 [size =\"40893440\"]\n  15 [size=\"166451200\", alpha=\"0.07\", expect_size=\"49935360\"] \n  15 -> 19 [size =\"49935360\"]\n  15 -> 20 [size =\"49935360\"]\n  15 -> 21 [size =\"49935360\"]\n  15 -> 24 [size =\"49935360\"]\n  16 [size=\"163713707\", alpha=\"0.18\", expect_size=\"49114112\"] \n  16 -> 21 [size =\"49114112\"]\n  17 [size=\"29818880\", alpha=\"0.11\", expect_size=\"8945664\"] \n  17 -> 20 [size =\"8945664\"]\n  17 -> 21 [size =\"8945664\"]\n  18 [size=\"148660907\", alpha=\"0.01\", expect_size=\"44598272\"] \n  18 -> 19 [size =\"44598272\"]\n  18 -> 20 [size =\"44598272\"]\n  18 -> 21 [size =\"44598272\"]\n  18 -> 22 [size =\"44598272\"]\n  19 [size=\"30754133\", alpha=\"0.00\", expect_size=\"9226240\"] \n  19 -> 26 [size =\"9226240\"]\n  19 -> 28 [size =\"9226240\"]\n  20 [size=\"87176533\", alpha=\"0.10\", expect_size=\"26152960\"] \n  20 -> 25 [size =\"26152960\"]\n  20 -> 28 [size =\"26152960\"]\n  20 -> 29 [size =\"26152960\"]\n  21 [size=\"152930987\", alpha=\"0.05\", expect_size=\"45879296\"] \n  21 -> 25 [size =\"45879296\"]\n  21 -> 26 [size =\"45879296\"]\n  21 -> 27 [size =\"45879296\"]\n  21 -> 28 [size =\"45879296\"]\n  22 [size=\"87736320\", alpha=\"0.04\", expect_size=\"26320896\"] \n  22 -> 26 [size =\"26320896\"]\n  22 -> 27 [size =\"26320896\"]\n  22 -> 28 [size =\"26320896\"]\n  22 -> 28 [size =\"26320896\"]\n  23 [size=\"18114560\", alpha=\"0.12\", expect_size=\"5434368\"] \n  23 -> 26 [size =\"5434368\"]\n  23 -> 27 [size =\"5434368\"]\n  23 -> 28 [size =\"5434368\"]\n  24 [size=\"131140267\", alpha=\"0.09\", expect_size=\"39342080\"] \n  24 -> 25 [size =\"39342080\"]\n  24 -> 29 [size =\"39342080\"]\n  24 -> 30 [size =\"39342080\"]\n  25 [size=\"74960213\", alpha=\"0.05\", expect_size=\"22488064\"] \n  25 -> 31 [size =\"22488064\"]\n  25 -> 32 [size =\"22488064\"]\n  25 -> 33 [size =\"22488064\"]\n  25 -> 37 [size =\"22488064\"]\n  26 [size=\"130007040\", alpha=\"0.10\", expect_size=\"39002112\"] \n  26 -> 31 [size =\"39002112\"]\n  26 -> 32 [size =\"39002112\"]\n  26 -> 33 [size =\"39002112\"]\n  26 -> 34 [size =\"39002112\"]\n  27 [size=\"111994880\", alpha=\"0.10\", expect_size=\"33598464\"] \n  27 -> 32 [size =\"33598464\"]\n  27 -> 34 [size =\"33598464\"]\n  28 [size=\"38027947\", alpha=\"0.09\", expect_size=\"11408384\"] \n  28 -> 32 [size =\"11408384\"]\n  28 -> 36 [size =\"11408384\"]\n  29 [size=\"47878827\", alpha=\"0.13\", expect_size=\"14363648\"] \n  29 -> 31 [size =\"14363648\"]\n  29 -> 32 [size =\"14363648\"]\n  29 -> 33 [size =\"14363648\"]\n  29 -> 34 [size =\"14363648\"]\n  29 -> 35 [size =\"14363648\"]\n  29 -> 36 [size =\"14363648\"]\n  30 [size=\"49083733\", alpha=\"0.03\", expect_size=\"14725120\"] \n  30 -> 31 [size =\"14725120\"]\n  30 -> 33 [size =\"14725120\"]\n  30 -> 34 [size =\"14725120\"]\n  31 [size=\"131368960\", alpha=\"0.19\", expect_size=\"39410688\"] \n  31 -> 39 [size =\"39410688\"]\n  31 -> 41 [size =\"39410688\"]\n  31 -> 42 [size =\"39410688\"]\n  31 -> 43 [size =\"39410688\"]\n  32 [size=\"166956373\", alpha=\"0.07\", expect_size=\"50086912\"] \n  32 -> 41 [size =\"50086912\"]\n  33 [size=\"44086613\", alpha=\"0.09\", expect_size=\"13225984\"] \n  33 -> 43 [size =\"13225984\"]\n  34 [size=\"138775893\", alpha=\"0.07\", expect_size=\"41632768\"] \n  34 -> 42 [size =\"41632768\"]\n  35 [size=\"53589333\", alpha=\"0.03\", expect_size=\"16076800\"] \n  35 -> 38 [size =\"16076800\"]\n  35 -> 40 [size =\"16076800\"]\n  35 -> 41 [size =\"16076800\"]\n  35 -> 42 [size =\"16076800\"]\n  36 [size=\"92965547\", alpha=\"0.18\", expect_size=\"27889664\"] \n  36 -> 41 [size =\"27889664\"]\n  36 -> 43 [size =\"27889664\"]\n  37 [size=\"168284160\", alpha=\"0.15\", expect_size=\"50485248\"] \n  37 -> 40 [size =\"50485248\"]\n  37 -> 41 [size =\"50485248\"]\n  38 [size=\"93300053\", alpha=\"0.08\", expect_size=\"27990016\"] \n  38 -> 44 [size =\"27990016\"]\n  38 -> 47 [size =\"27990016\"]\n  38 -> 49 [size =\"27990016\"]\n  38 -> 50 [size =\"27990016\"]\n  39 [size=\"165403307\", alpha=\"0.03\", expect_size=\"49620992\"] \n  39 -> 44 [size =\"49620992\"]\n  39 -> 45 [size =\"49620992\"]\n  39 -> 47 [size =\"49620992\"]\n  39 -> 48 [size =\"49620992\"]\n  39 -> 50 [size =\"49620992\"]\n  40 [size=\"111223467\", alpha=\"0.07\", expect_size=\"33367040\"] \n  40 -> 44 [size =\"33367040\"]\n  40 -> 48 [size =\"33367040\"]\n  40 -> 50 [size =\"33367040\"]\n  41 [size=\"135526400\", alpha=\"0.08\", expect_size=\"40657920\"] \n  41 -> 44 [size =\"40657920\"]\n  41 -> 46 [size =\"40657920\"]\n  41 -> 49 [size =\"40657920\"]\n  41 -> 50 [size =\"40657920\"]\n  42 [size=\"125760853\", alpha=\"0.18\", expect_size=\"37728256\"] \n  42 -> 44 [size =\"37728256\"]\n  42 -> 45 [size =\"37728256\"]\n  42 -> 47 [size =\"37728256\"]\n  42 -> 48 [size =\"37728256\"]\n  42 -> 50 [size =\"37728256\"]\n  43 [size=\"23886507\", alpha=\"0.08\", expect_size=\"7165952\"] \n  43 -> 45 [size =\"7165952\"]\n  43 -> 47 [size =\"7165952\"]\n  43 -> 48 [size =\"7165952\"]\n  43 -> 50 [size =\"7165952\"]\n  44 [size=\"98112853\", alpha=\"0.13\", expect_size=\"29433856\"] \n  45 [size=\"152709120\", alpha=\"0.05\", expect_size=\"45812736\"] \n  46 [size=\"22070613\", alpha=\"0.11\", expect_size=\"6621184\"] \n  47 [size=\"167014400\", alpha=\"0.09\", expect_size=\"50104320\"] \n  48 [size=\"128027307\", alpha=\"0.10\", expect_size=\"38408192\"] \n  49 [size=\"36290560\", alpha=\"0.14\", expect_size=\"10887168\"] \n  50 [size=\"62371840\", alpha=\"0.03\", expect_size=\"18711552\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.66.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.7 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"53317120\", alpha=\"0.12\", expect_size=\"21326848\"] \n  1 -> 12 [size =\"21326848\"]\n  2 [size=\"105024000\", alpha=\"0.17\", expect_size=\"42009600\"] \n  2 -> 10 [size =\"42009600\"]\n  3 [size=\"23244800\", alpha=\"0.10\", expect_size=\"9297920\"] \n  3 -> 8 [size =\"9297920\"]\n  4 [size=\"109478400\", alpha=\"0.12\", expect_size=\"43791360\"] \n  4 -> 11 [size =\"43791360\"]\n  5 [size=\"51182080\", alpha=\"0.14\", expect_size=\"20472832\"] \n  5 -> 10 [size =\"20472832\"]\n  5 -> 12 [size =\"20472832\"]\n  6 [size=\"13432320\", alpha=\"0.05\", expect_size=\"5372928\"] \n  6 -> 9 [size =\"5372928\"]\n  6 -> 11 [size =\"5372928\"]\n  6 -> 12 [size =\"5372928\"]\n  7 [size=\"18332160\", alpha=\"0.10\", expect_size=\"7332864\"] \n  7 -> 8 [size =\"7332864\"]\n  7 -> 9 [size =\"7332864\"]\n  7 -> 12 [size =\"7332864\"]\n  8 [size=\"104519680\", alpha=\"0.14\", expect_size=\"41807872\"] \n  9 [size=\"106688000\", alpha=\"0.03\", expect_size=\"42675200\"] \n  10 [size=\"108221440\", alpha=\"0.14\", expect_size=\"43288576\"] \n  10 -> 13 [size =\"43288576\"]\n  10 -> 14 [size =\"43288576\"]\n  10 -> 15 [size =\"43288576\"]\n  10 -> 16 [size =\"43288576\"]\n  11 [size=\"84577280\", alpha=\"0.01\", expect_size=\"33830912\"] \n  11 -> 15 [size =\"33830912\"]\n  12 [size=\"39075840\", alpha=\"0.15\", expect_size=\"15630336\"] \n  12 -> 13 [size =\"15630336\"]\n  12 -> 15 [size =\"15630336\"]\n  12 -> 16 [size =\"15630336\"]\n  13 [size=\"24317440\", alpha=\"0.13\", expect_size=\"9726976\"] \n  13 -> 20 [size =\"9726976\"]\n  13 -> 21 [size =\"9726976\"]\n  14 [size=\"83635200\", alpha=\"0.04\", expect_size=\"33454080\"] \n  14 -> 17 [size =\"33454080\"]\n  14 -> 21 [size =\"33454080\"]\n  15 [size=\"34278400\", alpha=\"0.02\", expect_size=\"13711360\"] \n  15 -> 18 [size =\"13711360\"]\n  16 [size=\"114534400\", alpha=\"0.14\", expect_size=\"45813760\"] \n  16 -> 19 [size =\"45813760\"]\n  16 -> 20 [size =\"45813760\"]\n  17 [size=\"24558080\", alpha=\"0.13\", expect_size=\"9823232\"] \n  17 -> 25 [size =\"9823232\"]\n  17 -> 26 [size =\"9823232\"]\n  18 [size=\"86000640\", alpha=\"0.06\", expect_size=\"34400256\"] \n  18 -> 24 [size =\"34400256\"]\n  18 -> 25 [size =\"34400256\"]\n  18 -> 27 [size =\"34400256\"]\n  19 [size=\"52846080\", alpha=\"0.05\", expect_size=\"21138432\"] \n  19 -> 23 [size =\"21138432\"]\n  20 [size=\"67952640\", alpha=\"0.09\", expect_size=\"27181056\"] \n  20 -> 22 [size =\"27181056\"]\n  20 -> 23 [size =\"27181056\"]\n  20 -> 26 [size =\"27181056\"]\n  20 -> 27 [size =\"27181056\"]\n  21 [size=\"32816640\", alpha=\"0.19\", expect_size=\"13126656\"] \n  22 [size=\"41052160\", alpha=\"0.06\", expect_size=\"16420864\"] \n  23 [size=\"129576960\", alpha=\"0.14\", expect_size=\"51830784\"] \n  24 [size=\"90388480\", alpha=\"0.19\", expect_size=\"36155392\"] \n  24 -> 28 [size =\"36155392\"]\n  24 -> 29 [size =\"36155392\"]\n  24 -> 30 [size =\"36155392\"]\n  24 -> 31 [size =\"36155392\"]\n  25 [size=\"112573440\", alpha=\"0.10\", expect_size=\"45029376\"] \n  25 -> 29 [size =\"45029376\"]\n  25 -> 30 [size =\"45029376\"]\n  26 [size=\"122334720\", alpha=\"0.01\", expect_size=\"48933888\"] \n  26 -> 28 [size =\"48933888\"]\n  26 -> 30 [size =\"48933888\"]\n  26 -> 31 [size =\"48933888\"]\n  27 [size=\"86750720\", alpha=\"0.12\", expect_size=\"34700288\"] \n  27 -> 28 [size =\"34700288\"]\n  27 -> 29 [size =\"34700288\"]\n  28 [size=\"45383680\", alpha=\"0.20\", expect_size=\"18153472\"] \n  28 -> 36 [size =\"18153472\"]\n  29 [size=\"82475520\", alpha=\"0.03\", expect_size=\"32990208\"] \n  29 -> 35 [size =\"32990208\"]\n  29 -> 36 [size =\"32990208\"]\n  30 [size=\"109731840\", alpha=\"0.02\", expect_size=\"43892736\"] \n  30 -> 32 [size =\"43892736\"]\n  30 -> 33 [size =\"43892736\"]\n  30 -> 37 [size =\"43892736\"]\n  31 [size=\"42790400\", alpha=\"0.14\", expect_size=\"17116160\"] \n  31 -> 32 [size =\"17116160\"]\n  31 -> 33 [size =\"17116160\"]\n  31 -> 34 [size =\"17116160\"]\n  31 -> 35 [size =\"17116160\"]\n  32 [size=\"39828480\", alpha=\"0.10\", expect_size=\"15931392\"] \n  32 -> 42 [size =\"15931392\"]\n  32 -> 44 [size =\"15931392\"]\n  33 [size=\"74795520\", alpha=\"0.08\", expect_size=\"29918208\"] \n  33 -> 38 [size =\"29918208\"]\n  33 -> 44 [size =\"29918208\"]\n  34 [size=\"39869440\", alpha=\"0.17\", expect_size=\"15947776\"] \n  34 -> 41 [size =\"15947776\"]\n  35 [size=\"31418880\", alpha=\"0.11\", expect_size=\"12567552\"] \n  35 -> 39 [size =\"12567552\"]\n  35 -> 42 [size =\"12567552\"]\n  36 [size=\"87521280\", alpha=\"0.01\", expect_size=\"35008512\"] \n  36 -> 38 [size =\"35008512\"]\n  36 -> 39 [size =\"35008512\"]\n  36 -> 42 [size =\"35008512\"]\n  36 -> 43 [size =\"35008512\"]\n  37 [size=\"90536960\", alpha=\"0.14\", expect_size=\"36214784\"] \n  37 -> 38 [size =\"36214784\"]\n  37 -> 39 [size =\"36214784\"]\n  37 -> 40 [size =\"36214784\"]\n  37 -> 42 [size =\"36214784\"]\n  37 -> 44 [size =\"36214784\"]\n  38 [size=\"45693440\", alpha=\"0.19\", expect_size=\"18277376\"] \n  38 -> 47 [size =\"18277376\"]\n  39 [size=\"44400640\", alpha=\"0.10\", expect_size=\"17760256\"] \n  39 -> 49 [size =\"17760256\"]\n  40 [size=\"62279680\", alpha=\"0.11\", expect_size=\"24911872\"] \n  40 -> 45 [size =\"24911872\"]\n  40 -> 50 [size =\"24911872\"]\n  41 [size=\"76477440\", alpha=\"0.15\", expect_size=\"30590976\"] \n  41 -> 46 [size =\"30590976\"]\n  41 -> 49 [size =\"30590976\"]\n  42 [size=\"40504320\", alpha=\"0.04\", expect_size=\"16201728\"] \n  42 -> 47 [size =\"16201728\"]\n  42 -> 48 [size =\"16201728\"]\n  42 -> 49 [size =\"16201728\"]\n  42 -> 50 [size =\"16201728\"]\n  43 [size=\"98293760\", alpha=\"0.13\", expect_size=\"39317504\"] \n  43 -> 47 [size =\"39317504\"]\n  43 -> 49 [size =\"39317504\"]\n  43 -> 50 [size =\"39317504\"]\n  44 [size=\"25126400\", alpha=\"0.15\", expect_size=\"10050560\"] \n  44 -> 45 [size =\"10050560\"]\n  45 [size=\"127462400\", alpha=\"0.13\", expect_size=\"50984960\"] \n  46 [size=\"72578560\", alpha=\"0.11\", expect_size=\"29031424\"] \n  47 [size=\"79866880\", alpha=\"0.00\", expect_size=\"31946752\"] \n  48 [size=\"42813440\", alpha=\"0.15\", expect_size=\"17125376\"] \n  49 [size=\"34316800\", alpha=\"0.02\", expect_size=\"13726720\"] \n  50 [size=\"94118400\", alpha=\"0.06\", expect_size=\"37647360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.67.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"49607680\", alpha=\"0.19\", expect_size=\"19843072\"] \n  1 -> 3 [size =\"19843072\"]\n  1 -> 4 [size =\"19843072\"]\n  2 [size=\"23098880\", alpha=\"0.19\", expect_size=\"9239552\"] \n  2 -> 3 [size =\"9239552\"]\n  2 -> 5 [size =\"9239552\"]\n  3 [size=\"89574400\", alpha=\"0.10\", expect_size=\"35829760\"] \n  3 -> 6 [size =\"35829760\"]\n  3 -> 7 [size =\"35829760\"]\n  4 [size=\"22650880\", alpha=\"0.13\", expect_size=\"9060352\"] \n  5 [size=\"69122560\", alpha=\"0.02\", expect_size=\"27649024\"] \n  6 [size=\"129228800\", alpha=\"0.00\", expect_size=\"51691520\"] \n  6 -> 8 [size =\"51691520\"]\n  7 [size=\"71823360\", alpha=\"0.09\", expect_size=\"28729344\"] \n  7 -> 8 [size =\"28729344\"]\n  7 -> 9 [size =\"28729344\"]\n  8 [size=\"81925120\", alpha=\"0.17\", expect_size=\"32770048\"] \n  8 -> 10 [size =\"32770048\"]\n  9 [size=\"83092480\", alpha=\"0.17\", expect_size=\"33236992\"] \n  9 -> 10 [size =\"33236992\"]\n  9 -> 11 [size =\"33236992\"]\n  10 [size=\"107770880\", alpha=\"0.12\", expect_size=\"43108352\"] \n  10 -> 12 [size =\"43108352\"]\n  10 -> 13 [size =\"43108352\"]\n  11 [size=\"41525760\", alpha=\"0.11\", expect_size=\"16610304\"] \n  12 [size=\"38092800\", alpha=\"0.14\", expect_size=\"15237120\"] \n  12 -> 14 [size =\"15237120\"]\n  12 -> 16 [size =\"15237120\"]\n  13 [size=\"31761920\", alpha=\"0.08\", expect_size=\"12704768\"] \n  13 -> 14 [size =\"12704768\"]\n  13 -> 15 [size =\"12704768\"]\n  14 [size=\"93173760\", alpha=\"0.11\", expect_size=\"37269504\"] \n  14 -> 17 [size =\"37269504\"]\n  14 -> 18 [size =\"37269504\"]\n  14 -> 19 [size =\"37269504\"]\n  15 [size=\"51578880\", alpha=\"0.01\", expect_size=\"20631552\"] \n  15 -> 17 [size =\"20631552\"]\n  15 -> 18 [size =\"20631552\"]\n  16 [size=\"64071680\", alpha=\"0.04\", expect_size=\"25628672\"] \n  17 [size=\"66572800\", alpha=\"0.15\", expect_size=\"26629120\"] \n  17 -> 20 [size =\"26629120\"]\n  17 -> 21 [size =\"26629120\"]\n  18 [size=\"121436160\", alpha=\"0.11\", expect_size=\"48574464\"] \n  18 -> 20 [size =\"48574464\"]\n  18 -> 21 [size =\"48574464\"]\n  18 -> 22 [size =\"48574464\"]\n  19 [size=\"101409280\", alpha=\"0.03\", expect_size=\"40563712\"] \n  20 [size=\"86100480\", alpha=\"0.03\", expect_size=\"34440192\"] \n  20 -> 23 [size =\"34440192\"]\n  20 -> 24 [size =\"34440192\"]\n  21 [size=\"39726080\", alpha=\"0.08\", expect_size=\"15890432\"] \n  21 -> 23 [size =\"15890432\"]\n  21 -> 25 [size =\"15890432\"]\n  22 [size=\"103651840\", alpha=\"0.15\", expect_size=\"41460736\"] \n  22 -> 24 [size =\"41460736\"]\n  22 -> 25 [size =\"41460736\"]\n  23 [size=\"69867520\", alpha=\"0.15\", expect_size=\"27947008\"] \n  23 -> 26 [size =\"27947008\"]\n  23 -> 27 [size =\"27947008\"]\n  24 [size=\"114680320\", alpha=\"0.17\", expect_size=\"45872128\"] \n  24 -> 26 [size =\"45872128\"]\n  25 [size=\"64391680\", alpha=\"0.08\", expect_size=\"25756672\"] \n  25 -> 27 [size =\"25756672\"]\n  26 [size=\"70113280\", alpha=\"0.19\", expect_size=\"28045312\"] \n  26 -> 29 [size =\"28045312\"]\n  27 [size=\"92753920\", alpha=\"0.00\", expect_size=\"37101568\"] \n  27 -> 28 [size =\"37101568\"]\n  27 -> 29 [size =\"37101568\"]\n  28 [size=\"60549120\", alpha=\"0.13\", expect_size=\"24219648\"] \n  28 -> 30 [size =\"24219648\"]\n  28 -> 31 [size =\"24219648\"]\n  29 [size=\"125693440\", alpha=\"0.17\", expect_size=\"50277376\"] \n  30 [size=\"27169280\", alpha=\"0.18\", expect_size=\"10867712\"] \n  30 -> 32 [size =\"10867712\"]\n  31 [size=\"42414080\", alpha=\"0.03\", expect_size=\"16965632\"] \n  31 -> 32 [size =\"16965632\"]\n  31 -> 33 [size =\"16965632\"]\n  32 [size=\"89968640\", alpha=\"0.13\", expect_size=\"35987456\"] \n  32 -> 35 [size =\"35987456\"]\n  33 [size=\"61857280\", alpha=\"0.05\", expect_size=\"24742912\"] \n  33 -> 34 [size =\"24742912\"]\n  33 -> 35 [size =\"24742912\"]\n  34 [size=\"34549760\", alpha=\"0.11\", expect_size=\"13819904\"] \n  34 -> 36 [size =\"13819904\"]\n  35 [size=\"17592320\", alpha=\"0.04\", expect_size=\"7036928\"] \n  35 -> 37 [size =\"7036928\"]\n  36 [size=\"66997760\", alpha=\"0.06\", expect_size=\"26799104\"] \n  36 -> 38 [size =\"26799104\"]\n  37 [size=\"62963200\", alpha=\"0.16\", expect_size=\"25185280\"] \n  37 -> 38 [size =\"25185280\"]\n  37 -> 39 [size =\"25185280\"]\n  37 -> 40 [size =\"25185280\"]\n  38 [size=\"64202240\", alpha=\"0.05\", expect_size=\"25680896\"] \n  38 -> 41 [size =\"25680896\"]\n  38 -> 42 [size =\"25680896\"]\n  39 [size=\"21570560\", alpha=\"0.09\", expect_size=\"8628224\"] \n  40 [size=\"123020800\", alpha=\"0.05\", expect_size=\"49208320\"] \n  40 -> 41 [size =\"49208320\"]\n  41 [size=\"109319680\", alpha=\"0.06\", expect_size=\"43727872\"] \n  41 -> 44 [size =\"43727872\"]\n  42 [size=\"126858240\", alpha=\"0.02\", expect_size=\"50743296\"] \n  42 -> 43 [size =\"50743296\"]\n  42 -> 44 [size =\"50743296\"]\n  43 [size=\"82654720\", alpha=\"0.08\", expect_size=\"33061888\"] \n  43 -> 46 [size =\"33061888\"]\n  44 [size=\"113331200\", alpha=\"0.11\", expect_size=\"45332480\"] \n  44 -> 45 [size =\"45332480\"]\n  44 -> 46 [size =\"45332480\"]\n  45 [size=\"63024640\", alpha=\"0.02\", expect_size=\"25209856\"] \n  45 -> 47 [size =\"25209856\"]\n  45 -> 48 [size =\"25209856\"]\n  46 [size=\"88174080\", alpha=\"0.03\", expect_size=\"35269632\"] \n  46 -> 48 [size =\"35269632\"]\n  46 -> 49 [size =\"35269632\"]\n  47 [size=\"121781760\", alpha=\"0.18\", expect_size=\"48712704\"] \n  47 -> 50 [size =\"48712704\"]\n  48 [size=\"99351040\", alpha=\"0.01\", expect_size=\"39740416\"] \n  49 [size=\"129205760\", alpha=\"0.03\", expect_size=\"51682304\"] \n  50 [size=\"63726080\", alpha=\"0.07\", expect_size=\"25490432\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.68.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"100676267\", alpha=\"0.08\", expect_size=\"30202880\"] \n  1 -> 7 [size =\"30202880\"]\n  1 -> 9 [size =\"30202880\"]\n  1 -> 13 [size =\"30202880\"]\n  2 [size=\"60061013\", alpha=\"0.18\", expect_size=\"18018304\"] \n  2 -> 11 [size =\"18018304\"]\n  2 -> 12 [size =\"18018304\"]\n  2 -> 13 [size =\"18018304\"]\n  3 [size=\"72813227\", alpha=\"0.03\", expect_size=\"21843968\"] \n  3 -> 7 [size =\"21843968\"]\n  3 -> 11 [size =\"21843968\"]\n  3 -> 12 [size =\"21843968\"]\n  3 -> 13 [size =\"21843968\"]\n  4 [size=\"107499520\", alpha=\"0.14\", expect_size=\"32249856\"] \n  4 -> 10 [size =\"32249856\"]\n  4 -> 11 [size =\"32249856\"]\n  5 [size=\"78144853\", alpha=\"0.14\", expect_size=\"23443456\"] \n  5 -> 8 [size =\"23443456\"]\n  5 -> 11 [size =\"23443456\"]\n  5 -> 12 [size =\"23443456\"]\n  5 -> 13 [size =\"23443456\"]\n  6 [size=\"46117547\", alpha=\"0.11\", expect_size=\"13835264\"] \n  6 -> 13 [size =\"13835264\"]\n  7 [size=\"32675840\", alpha=\"0.17\", expect_size=\"9802752\"] \n  7 -> 14 [size =\"9802752\"]\n  7 -> 16 [size =\"9802752\"]\n  7 -> 17 [size =\"9802752\"]\n  7 -> 18 [size =\"9802752\"]\n  7 -> 19 [size =\"9802752\"]\n  8 [size=\"64669013\", alpha=\"0.20\", expect_size=\"19400704\"] \n  8 -> 14 [size =\"19400704\"]\n  8 -> 18 [size =\"19400704\"]\n  9 [size=\"41782613\", alpha=\"0.01\", expect_size=\"12534784\"] \n  9 -> 14 [size =\"12534784\"]\n  9 -> 15 [size =\"12534784\"]\n  9 -> 18 [size =\"12534784\"]\n  9 -> 19 [size =\"12534784\"]\n  10 [size=\"144018773\", alpha=\"0.05\", expect_size=\"43205632\"] \n  10 -> 14 [size =\"43205632\"]\n  10 -> 15 [size =\"43205632\"]\n  10 -> 17 [size =\"43205632\"]\n  10 -> 18 [size =\"43205632\"]\n  11 [size=\"27596800\", alpha=\"0.19\", expect_size=\"8279040\"] \n  11 -> 15 [size =\"8279040\"]\n  11 -> 17 [size =\"8279040\"]\n  11 -> 18 [size =\"8279040\"]\n  12 [size=\"92419413\", alpha=\"0.17\", expect_size=\"27725824\"] \n  12 -> 15 [size =\"27725824\"]\n  12 -> 19 [size =\"27725824\"]\n  13 [size=\"75987627\", alpha=\"0.15\", expect_size=\"22796288\"] \n  13 -> 14 [size =\"22796288\"]\n  13 -> 19 [size =\"22796288\"]\n  14 [size=\"100055040\", alpha=\"0.18\", expect_size=\"30016512\"] \n  14 -> 23 [size =\"30016512\"]\n  14 -> 23 [size =\"30016512\"]\n  14 -> 25 [size =\"30016512\"]\n  15 [size=\"49513813\", alpha=\"0.09\", expect_size=\"14854144\"] \n  15 -> 21 [size =\"14854144\"]\n  15 -> 22 [size =\"14854144\"]\n  15 -> 23 [size =\"14854144\"]\n  15 -> 25 [size =\"14854144\"]\n  16 [size=\"162624853\", alpha=\"0.07\", expect_size=\"48787456\"] \n  16 -> 21 [size =\"48787456\"]\n  16 -> 25 [size =\"48787456\"]\n  17 [size=\"91620693\", alpha=\"0.14\", expect_size=\"27486208\"] \n  17 -> 22 [size =\"27486208\"]\n  17 -> 23 [size =\"27486208\"]\n  18 [size=\"66450773\", alpha=\"0.10\", expect_size=\"19935232\"] \n  18 -> 22 [size =\"19935232\"]\n  18 -> 24 [size =\"19935232\"]\n  19 [size=\"65068373\", alpha=\"0.10\", expect_size=\"19520512\"] \n  19 -> 20 [size =\"19520512\"]\n  19 -> 23 [size =\"19520512\"]\n  19 -> 25 [size =\"19520512\"]\n  20 [size=\"69413547\", alpha=\"0.18\", expect_size=\"20824064\"] \n  20 -> 30 [size =\"20824064\"]\n  21 [size=\"110612480\", alpha=\"0.16\", expect_size=\"33183744\"] \n  21 -> 27 [size =\"33183744\"]\n  21 -> 28 [size =\"33183744\"]\n  21 -> 29 [size =\"33183744\"]\n  21 -> 30 [size =\"33183744\"]\n  21 -> 31 [size =\"33183744\"]\n  22 [size=\"102444373\", alpha=\"0.00\", expect_size=\"30733312\"] \n  22 -> 27 [size =\"30733312\"]\n  22 -> 29 [size =\"30733312\"]\n  22 -> 30 [size =\"30733312\"]\n  22 -> 30 [size =\"30733312\"]\n  22 -> 31 [size =\"30733312\"]\n  23 [size=\"77363200\", alpha=\"0.11\", expect_size=\"23208960\"] \n  23 -> 26 [size =\"23208960\"]\n  23 -> 27 [size =\"23208960\"]\n  23 -> 28 [size =\"23208960\"]\n  23 -> 32 [size =\"23208960\"]\n  24 [size=\"41939627\", alpha=\"0.14\", expect_size=\"12581888\"] \n  24 -> 28 [size =\"12581888\"]\n  24 -> 29 [size =\"12581888\"]\n  25 [size=\"22545067\", alpha=\"0.04\", expect_size=\"6763520\"] \n  25 -> 28 [size =\"6763520\"]\n  25 -> 31 [size =\"6763520\"]\n  26 [size=\"90361173\", alpha=\"0.18\", expect_size=\"27108352\"] \n  26 -> 33 [size =\"27108352\"]\n  26 -> 38 [size =\"27108352\"]\n  27 [size=\"148606293\", alpha=\"0.14\", expect_size=\"44581888\"] \n  27 -> 33 [size =\"44581888\"]\n  27 -> 35 [size =\"44581888\"]\n  28 [size=\"104321707\", alpha=\"0.16\", expect_size=\"31296512\"] \n  28 -> 35 [size =\"31296512\"]\n  29 [size=\"23121920\", alpha=\"0.01\", expect_size=\"6936576\"] \n  29 -> 34 [size =\"6936576\"]\n  29 -> 35 [size =\"6936576\"]\n  29 -> 36 [size =\"6936576\"]\n  29 -> 37 [size =\"6936576\"]\n  29 -> 38 [size =\"6936576\"]\n  30 [size=\"99143680\", alpha=\"0.02\", expect_size=\"29743104\"] \n  30 -> 36 [size =\"29743104\"]\n  31 [size=\"81124693\", alpha=\"0.04\", expect_size=\"24337408\"] \n  31 -> 35 [size =\"24337408\"]\n  31 -> 36 [size =\"24337408\"]\n  31 -> 38 [size =\"24337408\"]\n  32 [size=\"52268373\", alpha=\"0.16\", expect_size=\"15680512\"] \n  33 [size=\"55159467\", alpha=\"0.15\", expect_size=\"16547840\"] \n  33 -> 42 [size =\"16547840\"]\n  33 -> 43 [size =\"16547840\"]\n  34 [size=\"145138347\", alpha=\"0.05\", expect_size=\"43541504\"] \n  34 -> 41 [size =\"43541504\"]\n  34 -> 42 [size =\"43541504\"]\n  34 -> 43 [size =\"43541504\"]\n  35 [size=\"97652053\", alpha=\"0.19\", expect_size=\"29295616\"] \n  35 -> 40 [size =\"29295616\"]\n  35 -> 41 [size =\"29295616\"]\n  36 [size=\"130662400\", alpha=\"0.11\", expect_size=\"39198720\"] \n  36 -> 39 [size =\"39198720\"]\n  36 -> 42 [size =\"39198720\"]\n  36 -> 44 [size =\"39198720\"]\n  37 [size=\"115520853\", alpha=\"0.13\", expect_size=\"34656256\"] \n  37 -> 40 [size =\"34656256\"]\n  37 -> 44 [size =\"34656256\"]\n  37 -> 44 [size =\"34656256\"]\n  38 [size=\"67426987\", alpha=\"0.00\", expect_size=\"20228096\"] \n  38 -> 40 [size =\"20228096\"]\n  38 -> 44 [size =\"20228096\"]\n  39 [size=\"33583787\", alpha=\"0.14\", expect_size=\"10075136\"] \n  39 -> 45 [size =\"10075136\"]\n  39 -> 46 [size =\"10075136\"]\n  39 -> 47 [size =\"10075136\"]\n  39 -> 49 [size =\"10075136\"]\n  39 -> 50 [size =\"10075136\"]\n  40 [size=\"38297600\", alpha=\"0.15\", expect_size=\"11489280\"] \n  40 -> 48 [size =\"11489280\"]\n  41 [size=\"50821120\", alpha=\"0.07\", expect_size=\"15246336\"] \n  41 -> 46 [size =\"15246336\"]\n  41 -> 47 [size =\"15246336\"]\n  41 -> 48 [size =\"15246336\"]\n  41 -> 49 [size =\"15246336\"]\n  41 -> 50 [size =\"15246336\"]\n  42 [size=\"81278293\", alpha=\"0.11\", expect_size=\"24383488\"] \n  42 -> 46 [size =\"24383488\"]\n  42 -> 48 [size =\"24383488\"]\n  42 -> 49 [size =\"24383488\"]\n  42 -> 50 [size =\"24383488\"]\n  43 [size=\"47332693\", alpha=\"0.02\", expect_size=\"14199808\"] \n  43 -> 46 [size =\"14199808\"]\n  43 -> 49 [size =\"14199808\"]\n  43 -> 50 [size =\"14199808\"]\n  44 [size=\"164778667\", alpha=\"0.16\", expect_size=\"49433600\"] \n  44 -> 48 [size =\"49433600\"]\n  44 -> 49 [size =\"49433600\"]\n  45 [size=\"44339200\", alpha=\"0.10\", expect_size=\"13301760\"] \n  46 [size=\"32628053\", alpha=\"0.14\", expect_size=\"9788416\"] \n  47 [size=\"117510827\", alpha=\"0.15\", expect_size=\"35253248\"] \n  48 [size=\"58559147\", alpha=\"0.06\", expect_size=\"17567744\"] \n  49 [size=\"62033920\", alpha=\"0.18\", expect_size=\"18610176\"] \n  50 [size=\"18240853\", alpha=\"0.01\", expect_size=\"5472256\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.69.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.9 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"28387840\", alpha=\"0.08\", expect_size=\"11355136\"] \n  1 -> 8 [size =\"11355136\"]\n  1 -> 9 [size =\"11355136\"]\n  1 -> 10 [size =\"11355136\"]\n  1 -> 12 [size =\"11355136\"]\n  2 [size=\"81809920\", alpha=\"0.20\", expect_size=\"32723968\"] \n  2 -> 7 [size =\"32723968\"]\n  2 -> 9 [size =\"32723968\"]\n  2 -> 12 [size =\"32723968\"]\n  2 -> 12 [size =\"32723968\"]\n  2 -> 13 [size =\"32723968\"]\n  3 [size=\"50959360\", alpha=\"0.10\", expect_size=\"20383744\"] \n  3 -> 7 [size =\"20383744\"]\n  3 -> 9 [size =\"20383744\"]\n  3 -> 13 [size =\"20383744\"]\n  4 [size=\"23065600\", alpha=\"0.20\", expect_size=\"9226240\"] \n  4 -> 8 [size =\"9226240\"]\n  4 -> 13 [size =\"9226240\"]\n  4 -> 13 [size =\"9226240\"]\n  5 [size=\"14433280\", alpha=\"0.12\", expect_size=\"5773312\"] \n  5 -> 8 [size =\"5773312\"]\n  5 -> 9 [size =\"5773312\"]\n  5 -> 10 [size =\"5773312\"]\n  6 [size=\"60526080\", alpha=\"0.20\", expect_size=\"24210432\"] \n  6 -> 7 [size =\"24210432\"]\n  6 -> 11 [size =\"24210432\"]\n  7 [size=\"129902080\", alpha=\"0.10\", expect_size=\"51960832\"] \n  7 -> 17 [size =\"51960832\"]\n  7 -> 19 [size =\"51960832\"]\n  8 [size=\"59973120\", alpha=\"0.17\", expect_size=\"23989248\"] \n  8 -> 14 [size =\"23989248\"]\n  8 -> 15 [size =\"23989248\"]\n  8 -> 17 [size =\"23989248\"]\n  9 [size=\"21688320\", alpha=\"0.01\", expect_size=\"8675328\"] \n  9 -> 14 [size =\"8675328\"]\n  9 -> 16 [size =\"8675328\"]\n  9 -> 18 [size =\"8675328\"]\n  10 [size=\"23098880\", alpha=\"0.10\", expect_size=\"9239552\"] \n  10 -> 14 [size =\"9239552\"]\n  10 -> 18 [size =\"9239552\"]\n  11 [size=\"63508480\", alpha=\"0.16\", expect_size=\"25403392\"] \n  11 -> 14 [size =\"25403392\"]\n  11 -> 15 [size =\"25403392\"]\n  11 -> 19 [size =\"25403392\"]\n  11 -> 20 [size =\"25403392\"]\n  12 [size=\"113328640\", alpha=\"0.10\", expect_size=\"45331456\"] \n  12 -> 17 [size =\"45331456\"]\n  12 -> 18 [size =\"45331456\"]\n  12 -> 19 [size =\"45331456\"]\n  13 [size=\"111987200\", alpha=\"0.17\", expect_size=\"44794880\"] \n  13 -> 17 [size =\"44794880\"]\n  14 [size=\"53432320\", alpha=\"0.16\", expect_size=\"21372928\"] \n  14 -> 21 [size =\"21372928\"]\n  14 -> 24 [size =\"21372928\"]\n  15 [size=\"51916800\", alpha=\"0.19\", expect_size=\"20766720\"] \n  15 -> 23 [size =\"20766720\"]\n  15 -> 24 [size =\"20766720\"]\n  15 -> 25 [size =\"20766720\"]\n  15 -> 26 [size =\"20766720\"]\n  16 [size=\"123443200\", alpha=\"0.06\", expect_size=\"49377280\"] \n  16 -> 21 [size =\"49377280\"]\n  16 -> 23 [size =\"49377280\"]\n  16 -> 26 [size =\"49377280\"]\n  17 [size=\"121653760\", alpha=\"0.11\", expect_size=\"48661504\"] \n  17 -> 21 [size =\"48661504\"]\n  17 -> 22 [size =\"48661504\"]\n  17 -> 23 [size =\"48661504\"]\n  17 -> 24 [size =\"48661504\"]\n  17 -> 25 [size =\"48661504\"]\n  18 [size=\"62412800\", alpha=\"0.10\", expect_size=\"24965120\"] \n  18 -> 21 [size =\"24965120\"]\n  18 -> 23 [size =\"24965120\"]\n  18 -> 24 [size =\"24965120\"]\n  18 -> 26 [size =\"24965120\"]\n  19 [size=\"45875200\", alpha=\"0.05\", expect_size=\"18350080\"] \n  19 -> 21 [size =\"18350080\"]\n  19 -> 22 [size =\"18350080\"]\n  19 -> 26 [size =\"18350080\"]\n  20 [size=\"49305600\", alpha=\"0.18\", expect_size=\"19722240\"] \n  20 -> 26 [size =\"19722240\"]\n  21 [size=\"105515520\", alpha=\"0.13\", expect_size=\"42206208\"] \n  21 -> 27 [size =\"42206208\"]\n  21 -> 32 [size =\"42206208\"]\n  22 [size=\"84410880\", alpha=\"0.20\", expect_size=\"33764352\"] \n  22 -> 27 [size =\"33764352\"]\n  22 -> 28 [size =\"33764352\"]\n  22 -> 32 [size =\"33764352\"]\n  23 [size=\"25774080\", alpha=\"0.13\", expect_size=\"10309632\"] \n  23 -> 27 [size =\"10309632\"]\n  23 -> 28 [size =\"10309632\"]\n  23 -> 29 [size =\"10309632\"]\n  23 -> 30 [size =\"10309632\"]\n  23 -> 31 [size =\"10309632\"]\n  23 -> 32 [size =\"10309632\"]\n  24 [size=\"124925440\", alpha=\"0.08\", expect_size=\"49970176\"] \n  24 -> 28 [size =\"49970176\"]\n  24 -> 29 [size =\"49970176\"]\n  24 -> 30 [size =\"49970176\"]\n  24 -> 32 [size =\"49970176\"]\n  25 [size=\"102469120\", alpha=\"0.03\", expect_size=\"40987648\"] \n  25 -> 28 [size =\"40987648\"]\n  26 [size=\"96519680\", alpha=\"0.06\", expect_size=\"38607872\"] \n  26 -> 29 [size =\"38607872\"]\n  26 -> 30 [size =\"38607872\"]\n  26 -> 31 [size =\"38607872\"]\n  26 -> 32 [size =\"38607872\"]\n  27 [size=\"16337920\", alpha=\"0.09\", expect_size=\"6535168\"] \n  27 -> 34 [size =\"6535168\"]\n  27 -> 34 [size =\"6535168\"]\n  27 -> 35 [size =\"6535168\"]\n  27 -> 36 [size =\"6535168\"]\n  27 -> 39 [size =\"6535168\"]\n  28 [size=\"78433280\", alpha=\"0.20\", expect_size=\"31373312\"] \n  28 -> 33 [size =\"31373312\"]\n  28 -> 37 [size =\"31373312\"]\n  28 -> 38 [size =\"31373312\"]\n  28 -> 39 [size =\"31373312\"]\n  29 [size=\"17600000\", alpha=\"0.12\", expect_size=\"7040000\"] \n  29 -> 33 [size =\"7040000\"]\n  29 -> 35 [size =\"7040000\"]\n  29 -> 36 [size =\"7040000\"]\n  29 -> 37 [size =\"7040000\"]\n  30 [size=\"49945600\", alpha=\"0.06\", expect_size=\"19978240\"] \n  30 -> 35 [size =\"19978240\"]\n  30 -> 37 [size =\"19978240\"]\n  31 [size=\"38069760\", alpha=\"0.09\", expect_size=\"15227904\"] \n  31 -> 34 [size =\"15227904\"]\n  31 -> 36 [size =\"15227904\"]\n  31 -> 37 [size =\"15227904\"]\n  31 -> 39 [size =\"15227904\"]\n  32 [size=\"115228160\", alpha=\"0.08\", expect_size=\"46091264\"] \n  32 -> 33 [size =\"46091264\"]\n  32 -> 34 [size =\"46091264\"]\n  32 -> 39 [size =\"46091264\"]\n  33 [size=\"114186240\", alpha=\"0.05\", expect_size=\"45674496\"] \n  33 -> 42 [size =\"45674496\"]\n  34 [size=\"72803840\", alpha=\"0.08\", expect_size=\"29121536\"] \n  34 -> 40 [size =\"29121536\"]\n  34 -> 42 [size =\"29121536\"]\n  34 -> 45 [size =\"29121536\"]\n  35 [size=\"118999040\", alpha=\"0.17\", expect_size=\"47599616\"] \n  35 -> 41 [size =\"47599616\"]\n  36 [size=\"18173440\", alpha=\"0.06\", expect_size=\"7269376\"] \n  36 -> 42 [size =\"7269376\"]\n  36 -> 45 [size =\"7269376\"]\n  37 [size=\"53675520\", alpha=\"0.13\", expect_size=\"21470208\"] \n  37 -> 42 [size =\"21470208\"]\n  37 -> 43 [size =\"21470208\"]\n  37 -> 44 [size =\"21470208\"]\n  37 -> 45 [size =\"21470208\"]\n  38 [size=\"106373120\", alpha=\"0.08\", expect_size=\"42549248\"] \n  38 -> 41 [size =\"42549248\"]\n  38 -> 42 [size =\"42549248\"]\n  38 -> 43 [size =\"42549248\"]\n  39 [size=\"105169920\", alpha=\"0.09\", expect_size=\"42067968\"] \n  39 -> 41 [size =\"42067968\"]\n  39 -> 44 [size =\"42067968\"]\n  39 -> 45 [size =\"42067968\"]\n  40 [size=\"58647040\", alpha=\"0.16\", expect_size=\"23458816\"] \n  40 -> 46 [size =\"23458816\"]\n  41 [size=\"94766080\", alpha=\"0.18\", expect_size=\"37906432\"] \n  41 -> 46 [size =\"37906432\"]\n  41 -> 47 [size =\"37906432\"]\n  41 -> 48 [size =\"37906432\"]\n  41 -> 49 [size =\"37906432\"]\n  42 [size=\"27996160\", alpha=\"0.13\", expect_size=\"11198464\"] \n  42 -> 47 [size =\"11198464\"]\n  42 -> 49 [size =\"11198464\"]\n  43 [size=\"76526080\", alpha=\"0.10\", expect_size=\"30610432\"] \n  43 -> 48 [size =\"30610432\"]\n  43 -> 49 [size =\"30610432\"]\n  43 -> 50 [size =\"30610432\"]\n  44 [size=\"103308800\", alpha=\"0.05\", expect_size=\"41323520\"] \n  44 -> 48 [size =\"41323520\"]\n  44 -> 50 [size =\"41323520\"]\n  45 [size=\"30707200\", alpha=\"0.16\", expect_size=\"12282880\"] \n  45 -> 47 [size =\"12282880\"]\n  45 -> 48 [size =\"12282880\"]\n  45 -> 49 [size =\"12282880\"]\n  46 [size=\"15493120\", alpha=\"0.01\", expect_size=\"6197248\"] \n  47 [size=\"50042880\", alpha=\"0.07\", expect_size=\"20017152\"] \n  48 [size=\"124935680\", alpha=\"0.04\", expect_size=\"49974272\"] \n  49 [size=\"53555200\", alpha=\"0.01\", expect_size=\"21422080\"] \n  50 [size=\"104596480\", alpha=\"0.05\", expect_size=\"41838592\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.7.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"129216000\", alpha=\"0.19\", expect_size=\"51686400\"] \n  1 -> 29 [size =\"51686400\"]\n  1 -> 30 [size =\"51686400\"]\n  1 -> 33 [size =\"51686400\"]\n  1 -> 36 [size =\"51686400\"]\n  1 -> 42 [size =\"51686400\"]\n  2 [size=\"35632640\", alpha=\"0.15\", expect_size=\"14253056\"] \n  2 -> 22 [size =\"14253056\"]\n  2 -> 24 [size =\"14253056\"]\n  2 -> 31 [size =\"14253056\"]\n  2 -> 41 [size =\"14253056\"]\n  3 [size=\"55242240\", alpha=\"0.10\", expect_size=\"22096896\"] \n  3 -> 24 [size =\"22096896\"]\n  3 -> 26 [size =\"22096896\"]\n  3 -> 28 [size =\"22096896\"]\n  3 -> 31 [size =\"22096896\"]\n  3 -> 32 [size =\"22096896\"]\n  3 -> 34 [size =\"22096896\"]\n  3 -> 35 [size =\"22096896\"]\n  3 -> 39 [size =\"22096896\"]\n  3 -> 41 [size =\"22096896\"]\n  4 [size=\"123200000\", alpha=\"0.18\", expect_size=\"49280000\"] \n  4 -> 27 [size =\"49280000\"]\n  4 -> 28 [size =\"49280000\"]\n  4 -> 29 [size =\"49280000\"]\n  4 -> 30 [size =\"49280000\"]\n  4 -> 31 [size =\"49280000\"]\n  4 -> 33 [size =\"49280000\"]\n  4 -> 42 [size =\"49280000\"]\n  5 [size=\"114385920\", alpha=\"0.17\", expect_size=\"45754368\"] \n  5 -> 24 [size =\"45754368\"]\n  5 -> 27 [size =\"45754368\"]\n  5 -> 30 [size =\"45754368\"]\n  5 -> 32 [size =\"45754368\"]\n  5 -> 33 [size =\"45754368\"]\n  5 -> 34 [size =\"45754368\"]\n  5 -> 41 [size =\"45754368\"]\n  5 -> 42 [size =\"45754368\"]\n  6 [size=\"15854080\", alpha=\"0.11\", expect_size=\"6341632\"] \n  6 -> 26 [size =\"6341632\"]\n  6 -> 30 [size =\"6341632\"]\n  6 -> 30 [size =\"6341632\"]\n  6 -> 31 [size =\"6341632\"]\n  6 -> 38 [size =\"6341632\"]\n  6 -> 39 [size =\"6341632\"]\n  6 -> 42 [size =\"6341632\"]\n  7 [size=\"122475520\", alpha=\"0.18\", expect_size=\"48990208\"] \n  7 -> 22 [size =\"48990208\"]\n  7 -> 25 [size =\"48990208\"]\n  7 -> 26 [size =\"48990208\"]\n  7 -> 27 [size =\"48990208\"]\n  7 -> 29 [size =\"48990208\"]\n  7 -> 36 [size =\"48990208\"]\n  7 -> 39 [size =\"48990208\"]\n  8 [size=\"61749760\", alpha=\"0.00\", expect_size=\"24699904\"] \n  8 -> 25 [size =\"24699904\"]\n  8 -> 28 [size =\"24699904\"]\n  8 -> 29 [size =\"24699904\"]\n  8 -> 32 [size =\"24699904\"]\n  8 -> 33 [size =\"24699904\"]\n  8 -> 34 [size =\"24699904\"]\n  8 -> 36 [size =\"24699904\"]\n  9 [size=\"69373440\", alpha=\"0.10\", expect_size=\"27749376\"] \n  9 -> 25 [size =\"27749376\"]\n  9 -> 26 [size =\"27749376\"]\n  9 -> 27 [size =\"27749376\"]\n  9 -> 34 [size =\"27749376\"]\n  9 -> 36 [size =\"27749376\"]\n  9 -> 37 [size =\"27749376\"]\n  9 -> 39 [size =\"27749376\"]\n  9 -> 41 [size =\"27749376\"]\n  10 [size=\"23436800\", alpha=\"0.09\", expect_size=\"9374720\"] \n  10 -> 23 [size =\"9374720\"]\n  10 -> 24 [size =\"9374720\"]\n  10 -> 25 [size =\"9374720\"]\n  10 -> 27 [size =\"9374720\"]\n  10 -> 31 [size =\"9374720\"]\n  10 -> 36 [size =\"9374720\"]\n  10 -> 42 [size =\"9374720\"]\n  11 [size=\"119229440\", alpha=\"0.13\", expect_size=\"47691776\"] \n  11 -> 24 [size =\"47691776\"]\n  11 -> 25 [size =\"47691776\"]\n  11 -> 25 [size =\"47691776\"]\n  11 -> 31 [size =\"47691776\"]\n  11 -> 31 [size =\"47691776\"]\n  11 -> 32 [size =\"47691776\"]\n  11 -> 35 [size =\"47691776\"]\n  11 -> 41 [size =\"47691776\"]\n  11 -> 42 [size =\"47691776\"]\n  12 [size=\"114874880\", alpha=\"0.19\", expect_size=\"45949952\"] \n  12 -> 26 [size =\"45949952\"]\n  12 -> 32 [size =\"45949952\"]\n  12 -> 35 [size =\"45949952\"]\n  12 -> 36 [size =\"45949952\"]\n  12 -> 42 [size =\"45949952\"]\n  13 [size=\"86545920\", alpha=\"0.14\", expect_size=\"34618368\"] \n  13 -> 25 [size =\"34618368\"]\n  13 -> 30 [size =\"34618368\"]\n  13 -> 36 [size =\"34618368\"]\n  13 -> 40 [size =\"34618368\"]\n  13 -> 41 [size =\"34618368\"]\n  13 -> 42 [size =\"34618368\"]\n  14 [size=\"29890560\", alpha=\"0.16\", expect_size=\"11956224\"] \n  14 -> 24 [size =\"11956224\"]\n  14 -> 26 [size =\"11956224\"]\n  14 -> 27 [size =\"11956224\"]\n  14 -> 32 [size =\"11956224\"]\n  14 -> 34 [size =\"11956224\"]\n  14 -> 35 [size =\"11956224\"]\n  14 -> 39 [size =\"11956224\"]\n  15 [size=\"15275520\", alpha=\"0.06\", expect_size=\"6110208\"] \n  15 -> 25 [size =\"6110208\"]\n  15 -> 26 [size =\"6110208\"]\n  15 -> 29 [size =\"6110208\"]\n  15 -> 32 [size =\"6110208\"]\n  15 -> 36 [size =\"6110208\"]\n  15 -> 39 [size =\"6110208\"]\n  15 -> 42 [size =\"6110208\"]\n  16 [size=\"113364480\", alpha=\"0.14\", expect_size=\"45345792\"] \n  16 -> 29 [size =\"45345792\"]\n  16 -> 30 [size =\"45345792\"]\n  16 -> 32 [size =\"45345792\"]\n  16 -> 36 [size =\"45345792\"]\n  16 -> 39 [size =\"45345792\"]\n  16 -> 41 [size =\"45345792\"]\n  16 -> 42 [size =\"45345792\"]\n  17 [size=\"61130240\", alpha=\"0.14\", expect_size=\"24452096\"] \n  17 -> 26 [size =\"24452096\"]\n  17 -> 28 [size =\"24452096\"]\n  17 -> 29 [size =\"24452096\"]\n  17 -> 30 [size =\"24452096\"]\n  17 -> 32 [size =\"24452096\"]\n  17 -> 34 [size =\"24452096\"]\n  17 -> 42 [size =\"24452096\"]\n  18 [size=\"49925120\", alpha=\"0.05\", expect_size=\"19970048\"] \n  18 -> 25 [size =\"19970048\"]\n  18 -> 26 [size =\"19970048\"]\n  18 -> 36 [size =\"19970048\"]\n  19 [size=\"50534400\", alpha=\"0.06\", expect_size=\"20213760\"] \n  19 -> 25 [size =\"20213760\"]\n  19 -> 29 [size =\"20213760\"]\n  19 -> 31 [size =\"20213760\"]\n  19 -> 33 [size =\"20213760\"]\n  19 -> 34 [size =\"20213760\"]\n  19 -> 35 [size =\"20213760\"]\n  19 -> 41 [size =\"20213760\"]\n  19 -> 42 [size =\"20213760\"]\n  20 [size=\"110991360\", alpha=\"0.05\", expect_size=\"44396544\"] \n  20 -> 28 [size =\"44396544\"]\n  20 -> 30 [size =\"44396544\"]\n  20 -> 31 [size =\"44396544\"]\n  20 -> 36 [size =\"44396544\"]\n  20 -> 41 [size =\"44396544\"]\n  21 [size=\"48870400\", alpha=\"0.05\", expect_size=\"19548160\"] \n  21 -> 22 [size =\"19548160\"]\n  21 -> 25 [size =\"19548160\"]\n  21 -> 26 [size =\"19548160\"]\n  21 -> 27 [size =\"19548160\"]\n  21 -> 28 [size =\"19548160\"]\n  21 -> 29 [size =\"19548160\"]\n  21 -> 34 [size =\"19548160\"]\n  21 -> 36 [size =\"19548160\"]\n  22 [size=\"128363520\", alpha=\"0.08\", expect_size=\"51345408\"] \n  22 -> 43 [size =\"51345408\"]\n  22 -> 44 [size =\"51345408\"]\n  22 -> 45 [size =\"51345408\"]\n  22 -> 48 [size =\"51345408\"]\n  22 -> 49 [size =\"51345408\"]\n  23 [size=\"121651200\", alpha=\"0.18\", expect_size=\"48660480\"] \n  23 -> 45 [size =\"48660480\"]\n  23 -> 48 [size =\"48660480\"]\n  23 -> 49 [size =\"48660480\"]\n  24 [size=\"86581760\", alpha=\"0.07\", expect_size=\"34632704\"] \n  24 -> 44 [size =\"34632704\"]\n  24 -> 45 [size =\"34632704\"]\n  24 -> 48 [size =\"34632704\"]\n  24 -> 49 [size =\"34632704\"]\n  25 [size=\"61127680\", alpha=\"0.12\", expect_size=\"24451072\"] \n  25 -> 43 [size =\"24451072\"]\n  25 -> 44 [size =\"24451072\"]\n  25 -> 48 [size =\"24451072\"]\n  25 -> 50 [size =\"24451072\"]\n  26 [size=\"94446080\", alpha=\"0.19\", expect_size=\"37778432\"] \n  26 -> 43 [size =\"37778432\"]\n  26 -> 44 [size =\"37778432\"]\n  26 -> 48 [size =\"37778432\"]\n  27 [size=\"60938240\", alpha=\"0.04\", expect_size=\"24375296\"] \n  27 -> 43 [size =\"24375296\"]\n  27 -> 44 [size =\"24375296\"]\n  27 -> 46 [size =\"24375296\"]\n  28 [size=\"24212480\", alpha=\"0.17\", expect_size=\"9684992\"] \n  28 -> 44 [size =\"9684992\"]\n  28 -> 46 [size =\"9684992\"]\n  29 [size=\"54440960\", alpha=\"0.20\", expect_size=\"21776384\"] \n  30 [size=\"89827840\", alpha=\"0.04\", expect_size=\"35931136\"] \n  30 -> 43 [size =\"35931136\"]\n  30 -> 44 [size =\"35931136\"]\n  30 -> 45 [size =\"35931136\"]\n  30 -> 48 [size =\"35931136\"]\n  31 [size=\"122099200\", alpha=\"0.07\", expect_size=\"48839680\"] \n  31 -> 47 [size =\"48839680\"]\n  31 -> 49 [size =\"48839680\"]\n  31 -> 50 [size =\"48839680\"]\n  32 [size=\"31436800\", alpha=\"0.07\", expect_size=\"12574720\"] \n  32 -> 49 [size =\"12574720\"]\n  33 [size=\"76295680\", alpha=\"0.19\", expect_size=\"30518272\"] \n  33 -> 45 [size =\"30518272\"]\n  33 -> 49 [size =\"30518272\"]\n  34 [size=\"62883840\", alpha=\"0.14\", expect_size=\"25153536\"] \n  34 -> 45 [size =\"25153536\"]\n  34 -> 46 [size =\"25153536\"]\n  34 -> 48 [size =\"25153536\"]\n  34 -> 49 [size =\"25153536\"]\n  35 [size=\"101294080\", alpha=\"0.09\", expect_size=\"40517632\"] \n  35 -> 43 [size =\"40517632\"]\n  35 -> 45 [size =\"40517632\"]\n  35 -> 49 [size =\"40517632\"]\n  36 [size=\"56880640\", alpha=\"0.02\", expect_size=\"22752256\"] \n  36 -> 43 [size =\"22752256\"]\n  36 -> 47 [size =\"22752256\"]\n  36 -> 50 [size =\"22752256\"]\n  37 [size=\"50355200\", alpha=\"0.02\", expect_size=\"20142080\"] \n  37 -> 43 [size =\"20142080\"]\n  37 -> 44 [size =\"20142080\"]\n  37 -> 45 [size =\"20142080\"]\n  37 -> 48 [size =\"20142080\"]\n  38 [size=\"73121280\", alpha=\"0.09\", expect_size=\"29248512\"] \n  38 -> 43 [size =\"29248512\"]\n  38 -> 48 [size =\"29248512\"]\n  39 [size=\"55861760\", alpha=\"0.02\", expect_size=\"22344704\"] \n  39 -> 44 [size =\"22344704\"]\n  39 -> 48 [size =\"22344704\"]\n  39 -> 49 [size =\"22344704\"]\n  40 [size=\"54842880\", alpha=\"0.12\", expect_size=\"21937152\"] \n  40 -> 44 [size =\"21937152\"]\n  40 -> 48 [size =\"21937152\"]\n  40 -> 49 [size =\"21937152\"]\n  41 [size=\"80391680\", alpha=\"0.08\", expect_size=\"32156672\"] \n  41 -> 43 [size =\"32156672\"]\n  41 -> 44 [size =\"32156672\"]\n  41 -> 47 [size =\"32156672\"]\n  41 -> 48 [size =\"32156672\"]\n  41 -> 49 [size =\"32156672\"]\n  42 [size=\"120673280\", alpha=\"0.03\", expect_size=\"48269312\"] \n  42 -> 43 [size =\"48269312\"]\n  42 -> 45 [size =\"48269312\"]\n  42 -> 46 [size =\"48269312\"]\n  42 -> 48 [size =\"48269312\"]\n  42 -> 49 [size =\"48269312\"]\n  43 [size=\"41523200\", alpha=\"0.17\", expect_size=\"16609280\"] \n  44 [size=\"34344960\", alpha=\"0.03\", expect_size=\"13737984\"] \n  45 [size=\"115927040\", alpha=\"0.17\", expect_size=\"46370816\"] \n  46 [size=\"52508160\", alpha=\"0.05\", expect_size=\"21003264\"] \n  47 [size=\"62310400\", alpha=\"0.02\", expect_size=\"24924160\"] \n  48 [size=\"75397120\", alpha=\"0.20\", expect_size=\"30158848\"] \n  49 [size=\"128581120\", alpha=\"0.05\", expect_size=\"51432448\"] \n  50 [size=\"23367680\", alpha=\"0.03\", expect_size=\"9347072\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.70.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"60037120\", alpha=\"0.03\", expect_size=\"18011136\"] \n  2 [size=\"73512960\", alpha=\"0.19\", expect_size=\"22053888\"] \n  2 -> 3 [size =\"22053888\"]\n  2 -> 4 [size =\"22053888\"]\n  3 [size=\"37638827\", alpha=\"0.01\", expect_size=\"11291648\"] \n  3 -> 5 [size =\"11291648\"]\n  3 -> 7 [size =\"11291648\"]\n  4 [size=\"131768320\", alpha=\"0.01\", expect_size=\"39530496\"] \n  4 -> 6 [size =\"39530496\"]\n  4 -> 7 [size =\"39530496\"]\n  5 [size=\"122910720\", alpha=\"0.19\", expect_size=\"36873216\"] \n  5 -> 8 [size =\"36873216\"]\n  5 -> 9 [size =\"36873216\"]\n  6 [size=\"89019733\", alpha=\"0.18\", expect_size=\"26705920\"] \n  6 -> 8 [size =\"26705920\"]\n  7 [size=\"128259413\", alpha=\"0.07\", expect_size=\"38477824\"] \n  8 [size=\"36515840\", alpha=\"0.19\", expect_size=\"10954752\"] \n  8 -> 10 [size =\"10954752\"]\n  8 -> 11 [size =\"10954752\"]\n  8 -> 12 [size =\"10954752\"]\n  9 [size=\"164939093\", alpha=\"0.07\", expect_size=\"49481728\"] \n  9 -> 11 [size =\"49481728\"]\n  9 -> 12 [size =\"49481728\"]\n  10 [size=\"106366293\", alpha=\"0.13\", expect_size=\"31909888\"] \n  10 -> 13 [size =\"31909888\"]\n  10 -> 15 [size =\"31909888\"]\n  11 [size=\"54981973\", alpha=\"0.14\", expect_size=\"16494592\"] \n  11 -> 15 [size =\"16494592\"]\n  12 [size=\"80906240\", alpha=\"0.13\", expect_size=\"24271872\"] \n  12 -> 14 [size =\"24271872\"]\n  13 [size=\"70536533\", alpha=\"0.17\", expect_size=\"21160960\"] \n  13 -> 17 [size =\"21160960\"]\n  14 [size=\"79045973\", alpha=\"0.03\", expect_size=\"23713792\"] \n  15 [size=\"88695467\", alpha=\"0.16\", expect_size=\"26608640\"] \n  15 -> 16 [size =\"26608640\"]\n  16 [size=\"80541013\", alpha=\"0.12\", expect_size=\"24162304\"] \n  16 -> 19 [size =\"24162304\"]\n  17 [size=\"63088640\", alpha=\"0.08\", expect_size=\"18926592\"] \n  17 -> 18 [size =\"18926592\"]\n  17 -> 19 [size =\"18926592\"]\n  17 -> 20 [size =\"18926592\"]\n  18 [size=\"116616533\", alpha=\"0.15\", expect_size=\"34984960\"] \n  18 -> 21 [size =\"34984960\"]\n  18 -> 22 [size =\"34984960\"]\n  19 [size=\"107912533\", alpha=\"0.16\", expect_size=\"32373760\"] \n  20 [size=\"159232000\", alpha=\"0.06\", expect_size=\"47769600\"] \n  20 -> 21 [size =\"47769600\"]\n  21 [size=\"104973653\", alpha=\"0.00\", expect_size=\"31492096\"] \n  21 -> 23 [size =\"31492096\"]\n  21 -> 24 [size =\"31492096\"]\n  22 [size=\"56019627\", alpha=\"0.02\", expect_size=\"16805888\"] \n  22 -> 23 [size =\"16805888\"]\n  23 [size=\"159597227\", alpha=\"0.07\", expect_size=\"47879168\"] \n  24 [size=\"139656533\", alpha=\"0.06\", expect_size=\"41896960\"] \n  24 -> 25 [size =\"41896960\"]\n  24 -> 26 [size =\"41896960\"]\n  25 [size=\"166905173\", alpha=\"0.18\", expect_size=\"50071552\"] \n  25 -> 27 [size =\"50071552\"]\n  26 [size=\"133956267\", alpha=\"0.19\", expect_size=\"40186880\"] \n  26 -> 28 [size =\"40186880\"]\n  27 [size=\"68935680\", alpha=\"0.15\", expect_size=\"20680704\"] \n  27 -> 29 [size =\"20680704\"]\n  27 -> 30 [size =\"20680704\"]\n  28 [size=\"133068800\", alpha=\"0.13\", expect_size=\"39920640\"] \n  28 -> 29 [size =\"39920640\"]\n  29 [size=\"90067627\", alpha=\"0.10\", expect_size=\"27020288\"] \n  29 -> 32 [size =\"27020288\"]\n  30 [size=\"61446827\", alpha=\"0.18\", expect_size=\"18434048\"] \n  30 -> 31 [size =\"18434048\"]\n  30 -> 32 [size =\"18434048\"]\n  30 -> 33 [size =\"18434048\"]\n  31 [size=\"106079573\", alpha=\"0.10\", expect_size=\"31823872\"] \n  32 [size=\"109247147\", alpha=\"0.11\", expect_size=\"32774144\"] \n  32 -> 34 [size =\"32774144\"]\n  32 -> 36 [size =\"32774144\"]\n  33 [size=\"126979413\", alpha=\"0.19\", expect_size=\"38093824\"] \n  33 -> 34 [size =\"38093824\"]\n  33 -> 35 [size =\"38093824\"]\n  34 [size=\"22159360\", alpha=\"0.14\", expect_size=\"6647808\"] \n  35 [size=\"66368853\", alpha=\"0.19\", expect_size=\"19910656\"] \n  35 -> 38 [size =\"19910656\"]\n  35 -> 39 [size =\"19910656\"]\n  36 [size=\"50462720\", alpha=\"0.11\", expect_size=\"15138816\"] \n  36 -> 37 [size =\"15138816\"]\n  36 -> 39 [size =\"15138816\"]\n  37 [size=\"45991253\", alpha=\"0.10\", expect_size=\"13797376\"] \n  37 -> 40 [size =\"13797376\"]\n  38 [size=\"163741013\", alpha=\"0.01\", expect_size=\"49122304\"] \n  38 -> 41 [size =\"49122304\"]\n  39 [size=\"108175360\", alpha=\"0.03\", expect_size=\"32452608\"] \n  39 -> 40 [size =\"32452608\"]\n  40 [size=\"26760533\", alpha=\"0.03\", expect_size=\"8028160\"] \n  40 -> 42 [size =\"8028160\"]\n  40 -> 43 [size =\"8028160\"]\n  40 -> 44 [size =\"8028160\"]\n  41 [size=\"165676373\", alpha=\"0.15\", expect_size=\"49702912\"] \n  41 -> 42 [size =\"49702912\"]\n  41 -> 43 [size =\"49702912\"]\n  42 [size=\"90569387\", alpha=\"0.11\", expect_size=\"27170816\"] \n  42 -> 45 [size =\"27170816\"]\n  42 -> 46 [size =\"27170816\"]\n  43 [size=\"22159360\", alpha=\"0.06\", expect_size=\"6647808\"] \n  43 -> 46 [size =\"6647808\"]\n  44 [size=\"170792960\", alpha=\"0.16\", expect_size=\"51237888\"] \n  45 [size=\"126180693\", alpha=\"0.05\", expect_size=\"37854208\"] \n  45 -> 47 [size =\"37854208\"]\n  45 -> 48 [size =\"37854208\"]\n  46 [size=\"116831573\", alpha=\"0.09\", expect_size=\"35049472\"] \n  46 -> 47 [size =\"35049472\"]\n  47 [size=\"48527360\", alpha=\"0.19\", expect_size=\"14558208\"] \n  48 [size=\"124163413\", alpha=\"0.05\", expect_size=\"37249024\"] \n  48 -> 49 [size =\"37249024\"]\n  48 -> 50 [size =\"37249024\"]\n  49 [size=\"128310613\", alpha=\"0.19\", expect_size=\"38493184\"] \n  50 [size=\"151412053\", alpha=\"0.19\", expect_size=\"45423616\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.71.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151278933\", alpha=\"0.18\", expect_size=\"45383680\"] \n  1 -> 4 [size =\"45383680\"]\n  1 -> 5 [size =\"45383680\"]\n  2 [size=\"61832533\", alpha=\"0.06\", expect_size=\"18549760\"] \n  3 [size=\"171567787\", alpha=\"0.13\", expect_size=\"51470336\"] \n  3 -> 4 [size =\"51470336\"]\n  3 -> 5 [size =\"51470336\"]\n  3 -> 6 [size =\"51470336\"]\n  4 [size=\"82281813\", alpha=\"0.09\", expect_size=\"24684544\"] \n  4 -> 8 [size =\"24684544\"]\n  5 [size=\"167277227\", alpha=\"0.14\", expect_size=\"50183168\"] \n  5 -> 9 [size =\"50183168\"]\n  6 [size=\"43960320\", alpha=\"0.15\", expect_size=\"13188096\"] \n  6 -> 7 [size =\"13188096\"]\n  6 -> 8 [size =\"13188096\"]\n  7 [size=\"98744320\", alpha=\"0.04\", expect_size=\"29623296\"] \n  7 -> 11 [size =\"29623296\"]\n  8 [size=\"134301013\", alpha=\"0.17\", expect_size=\"40290304\"] \n  8 -> 10 [size =\"40290304\"]\n  9 [size=\"21439147\", alpha=\"0.02\", expect_size=\"6431744\"] \n  9 -> 10 [size =\"6431744\"]\n  9 -> 11 [size =\"6431744\"]\n  10 [size=\"121398613\", alpha=\"0.04\", expect_size=\"36419584\"] \n  10 -> 12 [size =\"36419584\"]\n  11 [size=\"88896853\", alpha=\"0.13\", expect_size=\"26669056\"] \n  11 -> 13 [size =\"26669056\"]\n  12 [size=\"69621760\", alpha=\"0.00\", expect_size=\"20886528\"] \n  12 -> 14 [size =\"20886528\"]\n  12 -> 15 [size =\"20886528\"]\n  13 [size=\"119647573\", alpha=\"0.17\", expect_size=\"35894272\"] \n  13 -> 14 [size =\"35894272\"]\n  13 -> 15 [size =\"35894272\"]\n  14 [size=\"62877013\", alpha=\"0.10\", expect_size=\"18863104\"] \n  14 -> 16 [size =\"18863104\"]\n  14 -> 18 [size =\"18863104\"]\n  15 [size=\"135823360\", alpha=\"0.12\", expect_size=\"40747008\"] \n  15 -> 17 [size =\"40747008\"]\n  16 [size=\"89924267\", alpha=\"0.12\", expect_size=\"26977280\"] \n  16 -> 20 [size =\"26977280\"]\n  17 [size=\"46902613\", alpha=\"0.15\", expect_size=\"14070784\"] \n  17 -> 19 [size =\"14070784\"]\n  18 [size=\"75451733\", alpha=\"0.14\", expect_size=\"22635520\"] \n  18 -> 20 [size =\"22635520\"]\n  19 [size=\"55173120\", alpha=\"0.17\", expect_size=\"16551936\"] \n  19 -> 21 [size =\"16551936\"]\n  19 -> 22 [size =\"16551936\"]\n  20 [size=\"69949440\", alpha=\"0.14\", expect_size=\"20984832\"] \n  20 -> 21 [size =\"20984832\"]\n  20 -> 22 [size =\"20984832\"]\n  21 [size=\"104557227\", alpha=\"0.08\", expect_size=\"31367168\"] \n  21 -> 23 [size =\"31367168\"]\n  22 [size=\"46015147\", alpha=\"0.07\", expect_size=\"13804544\"] \n  22 -> 23 [size =\"13804544\"]\n  22 -> 24 [size =\"13804544\"]\n  23 [size=\"48909653\", alpha=\"0.07\", expect_size=\"14672896\"] \n  23 -> 25 [size =\"14672896\"]\n  23 -> 26 [size =\"14672896\"]\n  24 [size=\"28931413\", alpha=\"0.14\", expect_size=\"8679424\"] \n  25 [size=\"110844587\", alpha=\"0.01\", expect_size=\"33253376\"] \n  25 -> 28 [size =\"33253376\"]\n  26 [size=\"50380800\", alpha=\"0.11\", expect_size=\"15114240\"] \n  26 -> 27 [size =\"15114240\"]\n  26 -> 28 [size =\"15114240\"]\n  27 [size=\"144575147\", alpha=\"0.11\", expect_size=\"43372544\"] \n  27 -> 29 [size =\"43372544\"]\n  27 -> 30 [size =\"43372544\"]\n  27 -> 31 [size =\"43372544\"]\n  28 [size=\"107113813\", alpha=\"0.06\", expect_size=\"32134144\"] \n  28 -> 29 [size =\"32134144\"]\n  28 -> 30 [size =\"32134144\"]\n  29 [size=\"61160107\", alpha=\"0.02\", expect_size=\"18348032\"] \n  29 -> 34 [size =\"18348032\"]\n  30 [size=\"33665707\", alpha=\"0.11\", expect_size=\"10099712\"] \n  30 -> 33 [size =\"10099712\"]\n  31 [size=\"140499627\", alpha=\"0.09\", expect_size=\"42149888\"] \n  31 -> 32 [size =\"42149888\"]\n  32 [size=\"43612160\", alpha=\"0.14\", expect_size=\"13083648\"] \n  32 -> 35 [size =\"13083648\"]\n  32 -> 36 [size =\"13083648\"]\n  33 [size=\"101928960\", alpha=\"0.11\", expect_size=\"30578688\"] \n  34 [size=\"154972160\", alpha=\"0.15\", expect_size=\"46491648\"] \n  35 [size=\"110267733\", alpha=\"0.13\", expect_size=\"33080320\"] \n  36 [size=\"117609813\", alpha=\"0.01\", expect_size=\"35282944\"] \n  36 -> 37 [size =\"35282944\"]\n  36 -> 38 [size =\"35282944\"]\n  37 [size=\"46206293\", alpha=\"0.12\", expect_size=\"13861888\"] \n  37 -> 40 [size =\"13861888\"]\n  38 [size=\"134608213\", alpha=\"0.11\", expect_size=\"40382464\"] \n  38 -> 39 [size =\"40382464\"]\n  39 [size=\"27784533\", alpha=\"0.14\", expect_size=\"8335360\"] \n  39 -> 41 [size =\"8335360\"]\n  39 -> 43 [size =\"8335360\"]\n  40 [size=\"44270933\", alpha=\"0.04\", expect_size=\"13281280\"] \n  40 -> 41 [size =\"13281280\"]\n  40 -> 42 [size =\"13281280\"]\n  41 [size=\"130713600\", alpha=\"0.06\", expect_size=\"39214080\"] \n  42 [size=\"43953493\", alpha=\"0.11\", expect_size=\"13186048\"] \n  42 -> 45 [size =\"13186048\"]\n  42 -> 46 [size =\"13186048\"]\n  43 [size=\"150712320\", alpha=\"0.20\", expect_size=\"45213696\"] \n  43 -> 44 [size =\"45213696\"]\n  44 [size=\"81302187\", alpha=\"0.10\", expect_size=\"24390656\"] \n  45 [size=\"38417067\", alpha=\"0.12\", expect_size=\"11525120\"] \n  45 -> 47 [size =\"11525120\"]\n  46 [size=\"140404053\", alpha=\"0.19\", expect_size=\"42121216\"] \n  46 -> 47 [size =\"42121216\"]\n  46 -> 48 [size =\"42121216\"]\n  47 [size=\"145134933\", alpha=\"0.01\", expect_size=\"43540480\"] \n  47 -> 49 [size =\"43540480\"]\n  48 [size=\"82042880\", alpha=\"0.15\", expect_size=\"24612864\"] \n  48 -> 49 [size =\"24612864\"]\n  48 -> 50 [size =\"24612864\"]\n  49 [size=\"166389760\", alpha=\"0.15\", expect_size=\"49916928\"] \n  50 [size=\"121303040\", alpha=\"0.16\", expect_size=\"36390912\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.72.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101515947\", alpha=\"0.10\", expect_size=\"30454784\"] \n  1 -> 2 [size =\"30454784\"]\n  2 [size=\"75236693\", alpha=\"0.05\", expect_size=\"22571008\"] \n  2 -> 3 [size =\"22571008\"]\n  3 [size=\"55272107\", alpha=\"0.03\", expect_size=\"16581632\"] \n  3 -> 4 [size =\"16581632\"]\n  4 [size=\"144732160\", alpha=\"0.07\", expect_size=\"43419648\"] \n  4 -> 5 [size =\"43419648\"]\n  5 [size=\"158115840\", alpha=\"0.14\", expect_size=\"47434752\"] \n  5 -> 6 [size =\"47434752\"]\n  6 [size=\"29143040\", alpha=\"0.04\", expect_size=\"8742912\"] \n  6 -> 7 [size =\"8742912\"]\n  7 [size=\"154927787\", alpha=\"0.03\", expect_size=\"46478336\"] \n  7 -> 8 [size =\"46478336\"]\n  8 [size=\"101434027\", alpha=\"0.13\", expect_size=\"30430208\"] \n  8 -> 9 [size =\"30430208\"]\n  9 [size=\"142151680\", alpha=\"0.20\", expect_size=\"42645504\"] \n  9 -> 10 [size =\"42645504\"]\n  10 [size=\"42345813\", alpha=\"0.09\", expect_size=\"12703744\"] \n  10 -> 11 [size =\"12703744\"]\n  11 [size=\"122193920\", alpha=\"0.08\", expect_size=\"36658176\"] \n  11 -> 12 [size =\"36658176\"]\n  12 [size=\"41908907\", alpha=\"0.19\", expect_size=\"12572672\"] \n  12 -> 13 [size =\"12572672\"]\n  13 [size=\"82452480\", alpha=\"0.06\", expect_size=\"24735744\"] \n  13 -> 14 [size =\"24735744\"]\n  14 [size=\"107683840\", alpha=\"0.09\", expect_size=\"32305152\"] \n  14 -> 15 [size =\"32305152\"]\n  15 [size=\"161491627\", alpha=\"0.10\", expect_size=\"48447488\"] \n  15 -> 16 [size =\"48447488\"]\n  16 [size=\"110540800\", alpha=\"0.13\", expect_size=\"33162240\"] \n  16 -> 17 [size =\"33162240\"]\n  17 [size=\"138117120\", alpha=\"0.00\", expect_size=\"41435136\"] \n  17 -> 18 [size =\"41435136\"]\n  18 [size=\"160573440\", alpha=\"0.10\", expect_size=\"48172032\"] \n  18 -> 19 [size =\"48172032\"]\n  19 [size=\"108738560\", alpha=\"0.09\", expect_size=\"32621568\"] \n  19 -> 20 [size =\"32621568\"]\n  20 [size=\"104939520\", alpha=\"0.10\", expect_size=\"31481856\"] \n  20 -> 21 [size =\"31481856\"]\n  21 [size=\"19916800\", alpha=\"0.01\", expect_size=\"5975040\"] \n  21 -> 22 [size =\"5975040\"]\n  22 [size=\"82452480\", alpha=\"0.00\", expect_size=\"24735744\"] \n  22 -> 23 [size =\"24735744\"]\n  23 [size=\"78482773\", alpha=\"0.04\", expect_size=\"23544832\"] \n  23 -> 24 [size =\"23544832\"]\n  24 [size=\"127593813\", alpha=\"0.03\", expect_size=\"38278144\"] \n  24 -> 25 [size =\"38278144\"]\n  25 [size=\"40017920\", alpha=\"0.01\", expect_size=\"12005376\"] \n  25 -> 26 [size =\"12005376\"]\n  26 [size=\"122340693\", alpha=\"0.00\", expect_size=\"36702208\"] \n  26 -> 27 [size =\"36702208\"]\n  27 [size=\"70628693\", alpha=\"0.17\", expect_size=\"21188608\"] \n  27 -> 28 [size =\"21188608\"]\n  28 [size=\"70959787\", alpha=\"0.04\", expect_size=\"21287936\"] \n  28 -> 29 [size =\"21287936\"]\n  29 [size=\"149411840\", alpha=\"0.07\", expect_size=\"44823552\"] \n  29 -> 30 [size =\"44823552\"]\n  30 [size=\"65262933\", alpha=\"0.13\", expect_size=\"19578880\"] \n  30 -> 31 [size =\"19578880\"]\n  31 [size=\"143875413\", alpha=\"0.13\", expect_size=\"43162624\"] \n  31 -> 32 [size =\"43162624\"]\n  32 [size=\"154719573\", alpha=\"0.15\", expect_size=\"46415872\"] \n  32 -> 33 [size =\"46415872\"]\n  33 [size=\"155559253\", alpha=\"0.06\", expect_size=\"46667776\"] \n  33 -> 34 [size =\"46667776\"]\n  34 [size=\"26903893\", alpha=\"0.09\", expect_size=\"8071168\"] \n  34 -> 35 [size =\"8071168\"]\n  35 [size=\"53302613\", alpha=\"0.09\", expect_size=\"15990784\"] \n  35 -> 36 [size =\"15990784\"]\n  36 [size=\"60818773\", alpha=\"0.02\", expect_size=\"18245632\"] \n  36 -> 37 [size =\"18245632\"]\n  37 [size=\"61122560\", alpha=\"0.10\", expect_size=\"18336768\"] \n  37 -> 38 [size =\"18336768\"]\n  38 [size=\"34375680\", alpha=\"0.16\", expect_size=\"10312704\"] \n  38 -> 39 [size =\"10312704\"]\n  39 [size=\"64546133\", alpha=\"0.14\", expect_size=\"19363840\"] \n  39 -> 40 [size =\"19363840\"]\n  40 [size=\"119022933\", alpha=\"0.03\", expect_size=\"35706880\"] \n  40 -> 41 [size =\"35706880\"]\n  41 [size=\"65385813\", alpha=\"0.12\", expect_size=\"19615744\"] \n  41 -> 42 [size =\"19615744\"]\n  42 [size=\"165649067\", alpha=\"0.09\", expect_size=\"49694720\"] \n  42 -> 43 [size =\"49694720\"]\n  43 [size=\"129672533\", alpha=\"0.14\", expect_size=\"38901760\"] \n  43 -> 44 [size =\"38901760\"]\n  44 [size=\"22439253\", alpha=\"0.13\", expect_size=\"6731776\"] \n  44 -> 45 [size =\"6731776\"]\n  45 [size=\"91436373\", alpha=\"0.15\", expect_size=\"27430912\"] \n  45 -> 46 [size =\"27430912\"]\n  46 [size=\"166109867\", alpha=\"0.11\", expect_size=\"49832960\"] \n  46 -> 47 [size =\"49832960\"]\n  47 [size=\"24951467\", alpha=\"0.13\", expect_size=\"7485440\"] \n  47 -> 48 [size =\"7485440\"]\n  48 [size=\"103181653\", alpha=\"0.02\", expect_size=\"30954496\"] \n  48 -> 49 [size =\"30954496\"]\n  49 [size=\"72038400\", alpha=\"0.07\", expect_size=\"21611520\"] \n  49 -> 50 [size =\"21611520\"]\n  50 [size=\"22777173\", alpha=\"0.19\", expect_size=\"6833152\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.73.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"34723840\", alpha=\"0.10\", expect_size=\"17361920\"] \n  1 -> 43 [size =\"17361920\"]\n  1 -> 45 [size =\"17361920\"]\n  1 -> 46 [size =\"17361920\"]\n  1 -> 48 [size =\"17361920\"]\n  1 -> 49 [size =\"17361920\"]\n  1 -> 50 [size =\"17361920\"]\n  2 [size=\"67684352\", alpha=\"0.04\", expect_size=\"33842176\"] \n  2 -> 42 [size =\"33842176\"]\n  2 -> 43 [size =\"33842176\"]\n  2 -> 46 [size =\"33842176\"]\n  2 -> 48 [size =\"33842176\"]\n  2 -> 49 [size =\"33842176\"]\n  3 [size=\"65052672\", alpha=\"0.00\", expect_size=\"32526336\"] \n  3 -> 41 [size =\"32526336\"]\n  3 -> 46 [size =\"32526336\"]\n  3 -> 46 [size =\"32526336\"]\n  3 -> 48 [size =\"32526336\"]\n  3 -> 49 [size =\"32526336\"]\n  4 [size=\"93808640\", alpha=\"0.18\", expect_size=\"46904320\"] \n  4 -> 41 [size =\"46904320\"]\n  4 -> 46 [size =\"46904320\"]\n  4 -> 49 [size =\"46904320\"]\n  4 -> 50 [size =\"46904320\"]\n  5 [size=\"82182144\", alpha=\"0.09\", expect_size=\"41091072\"] \n  5 -> 45 [size =\"41091072\"]\n  5 -> 46 [size =\"41091072\"]\n  5 -> 48 [size =\"41091072\"]\n  5 -> 49 [size =\"41091072\"]\n  6 [size=\"29861888\", alpha=\"0.06\", expect_size=\"14930944\"] \n  6 -> 43 [size =\"14930944\"]\n  6 -> 48 [size =\"14930944\"]\n  6 -> 49 [size =\"14930944\"]\n  6 -> 50 [size =\"14930944\"]\n  7 [size=\"19712000\", alpha=\"0.15\", expect_size=\"9856000\"] \n  7 -> 43 [size =\"9856000\"]\n  7 -> 46 [size =\"9856000\"]\n  7 -> 48 [size =\"9856000\"]\n  7 -> 50 [size =\"9856000\"]\n  8 [size=\"93493248\", alpha=\"0.07\", expect_size=\"46746624\"] \n  8 -> 42 [size =\"46746624\"]\n  8 -> 43 [size =\"46746624\"]\n  8 -> 46 [size =\"46746624\"]\n  8 -> 48 [size =\"46746624\"]\n  8 -> 50 [size =\"46746624\"]\n  9 [size=\"74471424\", alpha=\"0.05\", expect_size=\"37235712\"] \n  9 -> 46 [size =\"37235712\"]\n  9 -> 48 [size =\"37235712\"]\n  9 -> 50 [size =\"37235712\"]\n  10 [size=\"97232896\", alpha=\"0.20\", expect_size=\"48616448\"] \n  10 -> 42 [size =\"48616448\"]\n  10 -> 44 [size =\"48616448\"]\n  10 -> 46 [size =\"48616448\"]\n  10 -> 47 [size =\"48616448\"]\n  10 -> 48 [size =\"48616448\"]\n  10 -> 49 [size =\"48616448\"]\n  10 -> 50 [size =\"48616448\"]\n  11 [size=\"48324608\", alpha=\"0.04\", expect_size=\"24162304\"] \n  11 -> 41 [size =\"24162304\"]\n  11 -> 42 [size =\"24162304\"]\n  11 -> 43 [size =\"24162304\"]\n  11 -> 44 [size =\"24162304\"]\n  11 -> 47 [size =\"24162304\"]\n  11 -> 48 [size =\"24162304\"]\n  12 [size=\"94218240\", alpha=\"0.01\", expect_size=\"47109120\"] \n  12 -> 41 [size =\"47109120\"]\n  12 -> 42 [size =\"47109120\"]\n  12 -> 46 [size =\"47109120\"]\n  12 -> 49 [size =\"47109120\"]\n  13 [size=\"19234816\", alpha=\"0.02\", expect_size=\"9617408\"] \n  13 -> 43 [size =\"9617408\"]\n  13 -> 47 [size =\"9617408\"]\n  13 -> 50 [size =\"9617408\"]\n  14 [size=\"19380224\", alpha=\"0.10\", expect_size=\"9690112\"] \n  14 -> 50 [size =\"9690112\"]\n  15 [size=\"10631168\", alpha=\"0.10\", expect_size=\"5315584\"] \n  15 -> 46 [size =\"5315584\"]\n  16 [size=\"54259712\", alpha=\"0.11\", expect_size=\"27129856\"] \n  16 -> 41 [size =\"27129856\"]\n  16 -> 43 [size =\"27129856\"]\n  16 -> 46 [size =\"27129856\"]\n  16 -> 48 [size =\"27129856\"]\n  17 [size=\"81577984\", alpha=\"0.13\", expect_size=\"40788992\"] \n  17 -> 42 [size =\"40788992\"]\n  17 -> 43 [size =\"40788992\"]\n  17 -> 46 [size =\"40788992\"]\n  17 -> 48 [size =\"40788992\"]\n  18 [size=\"56918016\", alpha=\"0.17\", expect_size=\"28459008\"] \n  18 -> 44 [size =\"28459008\"]\n  18 -> 46 [size =\"28459008\"]\n  18 -> 46 [size =\"28459008\"]\n  18 -> 47 [size =\"28459008\"]\n  18 -> 50 [size =\"28459008\"]\n  19 [size=\"88236032\", alpha=\"0.13\", expect_size=\"44118016\"] \n  19 -> 43 [size =\"44118016\"]\n  19 -> 44 [size =\"44118016\"]\n  19 -> 46 [size =\"44118016\"]\n  19 -> 47 [size =\"44118016\"]\n  20 [size=\"17836032\", alpha=\"0.11\", expect_size=\"8918016\"] \n  20 -> 41 [size =\"8918016\"]\n  20 -> 43 [size =\"8918016\"]\n  20 -> 47 [size =\"8918016\"]\n  20 -> 49 [size =\"8918016\"]\n  21 [size=\"16605184\", alpha=\"0.15\", expect_size=\"8302592\"] \n  21 -> 49 [size =\"8302592\"]\n  21 -> 50 [size =\"8302592\"]\n  22 [size=\"37550080\", alpha=\"0.10\", expect_size=\"18775040\"] \n  22 -> 41 [size =\"18775040\"]\n  22 -> 43 [size =\"18775040\"]\n  22 -> 46 [size =\"18775040\"]\n  22 -> 47 [size =\"18775040\"]\n  22 -> 48 [size =\"18775040\"]\n  22 -> 49 [size =\"18775040\"]\n  22 -> 50 [size =\"18775040\"]\n  23 [size=\"43534336\", alpha=\"0.17\", expect_size=\"21767168\"] \n  23 -> 41 [size =\"21767168\"]\n  23 -> 43 [size =\"21767168\"]\n  23 -> 46 [size =\"21767168\"]\n  23 -> 47 [size =\"21767168\"]\n  23 -> 49 [size =\"21767168\"]\n  23 -> 50 [size =\"21767168\"]\n  24 [size=\"52269056\", alpha=\"0.02\", expect_size=\"26134528\"] \n  24 -> 43 [size =\"26134528\"]\n  24 -> 46 [size =\"26134528\"]\n  24 -> 46 [size =\"26134528\"]\n  24 -> 48 [size =\"26134528\"]\n  24 -> 49 [size =\"26134528\"]\n  24 -> 50 [size =\"26134528\"]\n  25 [size=\"98848768\", alpha=\"0.02\", expect_size=\"49424384\"] \n  25 -> 43 [size =\"49424384\"]\n  25 -> 45 [size =\"49424384\"]\n  25 -> 46 [size =\"49424384\"]\n  25 -> 49 [size =\"49424384\"]\n  25 -> 50 [size =\"49424384\"]\n  26 [size=\"53426176\", alpha=\"0.06\", expect_size=\"26713088\"] \n  26 -> 42 [size =\"26713088\"]\n  26 -> 43 [size =\"26713088\"]\n  26 -> 46 [size =\"26713088\"]\n  26 -> 47 [size =\"26713088\"]\n  26 -> 48 [size =\"26713088\"]\n  26 -> 50 [size =\"26713088\"]\n  27 [size=\"10618880\", alpha=\"0.12\", expect_size=\"5309440\"] \n  27 -> 43 [size =\"5309440\"]\n  27 -> 43 [size =\"5309440\"]\n  27 -> 46 [size =\"5309440\"]\n  27 -> 48 [size =\"5309440\"]\n  27 -> 49 [size =\"5309440\"]\n  28 [size=\"70600704\", alpha=\"0.15\", expect_size=\"35300352\"] \n  28 -> 43 [size =\"35300352\"]\n  28 -> 46 [size =\"35300352\"]\n  28 -> 46 [size =\"35300352\"]\n  28 -> 48 [size =\"35300352\"]\n  29 [size=\"57528320\", alpha=\"0.12\", expect_size=\"28764160\"] \n  29 -> 46 [size =\"28764160\"]\n  29 -> 46 [size =\"28764160\"]\n  30 [size=\"24801280\", alpha=\"0.08\", expect_size=\"12400640\"] \n  30 -> 43 [size =\"12400640\"]\n  30 -> 46 [size =\"12400640\"]\n  30 -> 48 [size =\"12400640\"]\n  30 -> 49 [size =\"12400640\"]\n  31 [size=\"78073856\", alpha=\"0.11\", expect_size=\"39036928\"] \n  31 -> 41 [size =\"39036928\"]\n  31 -> 43 [size =\"39036928\"]\n  31 -> 46 [size =\"39036928\"]\n  31 -> 48 [size =\"39036928\"]\n  32 [size=\"52842496\", alpha=\"0.13\", expect_size=\"26421248\"] \n  32 -> 41 [size =\"26421248\"]\n  32 -> 46 [size =\"26421248\"]\n  32 -> 47 [size =\"26421248\"]\n  32 -> 50 [size =\"26421248\"]\n  33 [size=\"100677632\", alpha=\"0.16\", expect_size=\"50338816\"] \n  33 -> 42 [size =\"50338816\"]\n  33 -> 43 [size =\"50338816\"]\n  33 -> 46 [size =\"50338816\"]\n  33 -> 47 [size =\"50338816\"]\n  33 -> 49 [size =\"50338816\"]\n  33 -> 50 [size =\"50338816\"]\n  34 [size=\"87406592\", alpha=\"0.01\", expect_size=\"43703296\"] \n  34 -> 41 [size =\"43703296\"]\n  34 -> 42 [size =\"43703296\"]\n  34 -> 46 [size =\"43703296\"]\n  34 -> 47 [size =\"43703296\"]\n  34 -> 48 [size =\"43703296\"]\n  34 -> 49 [size =\"43703296\"]\n  34 -> 50 [size =\"43703296\"]\n  35 [size=\"96348160\", alpha=\"0.06\", expect_size=\"48174080\"] \n  35 -> 43 [size =\"48174080\"]\n  35 -> 46 [size =\"48174080\"]\n  35 -> 49 [size =\"48174080\"]\n  35 -> 50 [size =\"48174080\"]\n  36 [size=\"104833024\", alpha=\"0.00\", expect_size=\"52416512\"] \n  36 -> 50 [size =\"52416512\"]\n  37 [size=\"37863424\", alpha=\"0.10\", expect_size=\"18931712\"] \n  37 -> 43 [size =\"18931712\"]\n  37 -> 48 [size =\"18931712\"]\n  37 -> 49 [size =\"18931712\"]\n  37 -> 50 [size =\"18931712\"]\n  38 [size=\"93413376\", alpha=\"0.09\", expect_size=\"46706688\"] \n  38 -> 43 [size =\"46706688\"]\n  38 -> 45 [size =\"46706688\"]\n  38 -> 46 [size =\"46706688\"]\n  38 -> 47 [size =\"46706688\"]\n  38 -> 48 [size =\"46706688\"]\n  38 -> 49 [size =\"46706688\"]\n  38 -> 50 [size =\"46706688\"]\n  39 [size=\"71372800\", alpha=\"0.05\", expect_size=\"35686400\"] \n  39 -> 48 [size =\"35686400\"]\n  39 -> 49 [size =\"35686400\"]\n  39 -> 50 [size =\"35686400\"]\n  40 [size=\"35733504\", alpha=\"0.02\", expect_size=\"17866752\"] \n  40 -> 43 [size =\"17866752\"]\n  40 -> 48 [size =\"17866752\"]\n  40 -> 50 [size =\"17866752\"]\n  41 [size=\"73240576\", alpha=\"0.00\", expect_size=\"36620288\"] \n  42 [size=\"32991232\", alpha=\"0.05\", expect_size=\"16495616\"] \n  43 [size=\"93089792\", alpha=\"0.16\", expect_size=\"46544896\"] \n  44 [size=\"73545728\", alpha=\"0.16\", expect_size=\"36772864\"] \n  45 [size=\"77627392\", alpha=\"0.15\", expect_size=\"38813696\"] \n  46 [size=\"11104256\", alpha=\"0.03\", expect_size=\"5552128\"] \n  47 [size=\"12126208\", alpha=\"0.11\", expect_size=\"6063104\"] \n  48 [size=\"57413632\", alpha=\"0.12\", expect_size=\"28706816\"] \n  49 [size=\"99031040\", alpha=\"0.02\", expect_size=\"49515520\"] \n  50 [size=\"25980928\", alpha=\"0.16\", expect_size=\"12990464\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.74.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"72983893\", alpha=\"0.01\", expect_size=\"21895168\"] \n  1 -> 18 [size =\"21895168\"]\n  1 -> 21 [size =\"21895168\"]\n  1 -> 25 [size =\"21895168\"]\n  1 -> 26 [size =\"21895168\"]\n  2 [size=\"63634773\", alpha=\"0.04\", expect_size=\"19090432\"] \n  2 -> 16 [size =\"19090432\"]\n  2 -> 25 [size =\"19090432\"]\n  2 -> 25 [size =\"19090432\"]\n  2 -> 26 [size =\"19090432\"]\n  3 [size=\"98894507\", alpha=\"0.04\", expect_size=\"29668352\"] \n  3 -> 22 [size =\"29668352\"]\n  3 -> 23 [size =\"29668352\"]\n  3 -> 26 [size =\"29668352\"]\n  3 -> 26 [size =\"29668352\"]\n  4 [size=\"97221973\", alpha=\"0.09\", expect_size=\"29166592\"] \n  4 -> 16 [size =\"29166592\"]\n  4 -> 19 [size =\"29166592\"]\n  4 -> 20 [size =\"29166592\"]\n  4 -> 22 [size =\"29166592\"]\n  5 [size=\"146520747\", alpha=\"0.18\", expect_size=\"43956224\"] \n  5 -> 18 [size =\"43956224\"]\n  5 -> 19 [size =\"43956224\"]\n  5 -> 22 [size =\"43956224\"]\n  5 -> 22 [size =\"43956224\"]\n  6 [size=\"112868693\", alpha=\"0.04\", expect_size=\"33860608\"] \n  6 -> 17 [size =\"33860608\"]\n  6 -> 18 [size =\"33860608\"]\n  6 -> 22 [size =\"33860608\"]\n  6 -> 23 [size =\"33860608\"]\n  6 -> 24 [size =\"33860608\"]\n  6 -> 25 [size =\"33860608\"]\n  7 [size=\"117463040\", alpha=\"0.13\", expect_size=\"35238912\"] \n  7 -> 16 [size =\"35238912\"]\n  7 -> 18 [size =\"35238912\"]\n  7 -> 24 [size =\"35238912\"]\n  7 -> 25 [size =\"35238912\"]\n  8 [size=\"61422933\", alpha=\"0.03\", expect_size=\"18426880\"] \n  8 -> 16 [size =\"18426880\"]\n  8 -> 19 [size =\"18426880\"]\n  8 -> 23 [size =\"18426880\"]\n  8 -> 24 [size =\"18426880\"]\n  8 -> 25 [size =\"18426880\"]\n  8 -> 26 [size =\"18426880\"]\n  9 [size=\"162973013\", alpha=\"0.13\", expect_size=\"48891904\"] \n  9 -> 21 [size =\"48891904\"]\n  10 [size=\"75844267\", alpha=\"0.20\", expect_size=\"22753280\"] \n  10 -> 16 [size =\"22753280\"]\n  10 -> 18 [size =\"22753280\"]\n  10 -> 22 [size =\"22753280\"]\n  11 [size=\"55528107\", alpha=\"0.11\", expect_size=\"16658432\"] \n  11 -> 16 [size =\"16658432\"]\n  11 -> 17 [size =\"16658432\"]\n  11 -> 18 [size =\"16658432\"]\n  11 -> 21 [size =\"16658432\"]\n  11 -> 22 [size =\"16658432\"]\n  11 -> 23 [size =\"16658432\"]\n  12 [size=\"64706560\", alpha=\"0.04\", expect_size=\"19411968\"] \n  12 -> 16 [size =\"19411968\"]\n  12 -> 17 [size =\"19411968\"]\n  12 -> 18 [size =\"19411968\"]\n  12 -> 19 [size =\"19411968\"]\n  12 -> 22 [size =\"19411968\"]\n  12 -> 23 [size =\"19411968\"]\n  13 [size=\"94969173\", alpha=\"0.19\", expect_size=\"28490752\"] \n  13 -> 16 [size =\"28490752\"]\n  13 -> 19 [size =\"28490752\"]\n  13 -> 24 [size =\"28490752\"]\n  14 [size=\"125890560\", alpha=\"0.03\", expect_size=\"37767168\"] \n  14 -> 15 [size =\"37767168\"]\n  14 -> 21 [size =\"37767168\"]\n  14 -> 25 [size =\"37767168\"]\n  14 -> 26 [size =\"37767168\"]\n  15 [size=\"37212160\", alpha=\"0.18\", expect_size=\"11163648\"] \n  15 -> 28 [size =\"11163648\"]\n  15 -> 29 [size =\"11163648\"]\n  15 -> 32 [size =\"11163648\"]\n  15 -> 34 [size =\"11163648\"]\n  15 -> 35 [size =\"11163648\"]\n  15 -> 38 [size =\"11163648\"]\n  16 [size=\"22258347\", alpha=\"0.13\", expect_size=\"6677504\"] \n  16 -> 28 [size =\"6677504\"]\n  16 -> 30 [size =\"6677504\"]\n  16 -> 34 [size =\"6677504\"]\n  16 -> 34 [size =\"6677504\"]\n  16 -> 37 [size =\"6677504\"]\n  16 -> 38 [size =\"6677504\"]\n  17 [size=\"51701760\", alpha=\"0.15\", expect_size=\"15510528\"] \n  17 -> 28 [size =\"15510528\"]\n  17 -> 34 [size =\"15510528\"]\n  17 -> 38 [size =\"15510528\"]\n  18 [size=\"157614080\", alpha=\"0.17\", expect_size=\"47284224\"] \n  18 -> 28 [size =\"47284224\"]\n  18 -> 30 [size =\"47284224\"]\n  18 -> 33 [size =\"47284224\"]\n  18 -> 38 [size =\"47284224\"]\n  19 [size=\"26999467\", alpha=\"0.18\", expect_size=\"8099840\"] \n  19 -> 27 [size =\"8099840\"]\n  19 -> 30 [size =\"8099840\"]\n  20 [size=\"125897387\", alpha=\"0.05\", expect_size=\"37769216\"] \n  20 -> 28 [size =\"37769216\"]\n  20 -> 30 [size =\"37769216\"]\n  21 [size=\"124221440\", alpha=\"0.19\", expect_size=\"37266432\"] \n  21 -> 27 [size =\"37266432\"]\n  21 -> 30 [size =\"37266432\"]\n  21 -> 36 [size =\"37266432\"]\n  21 -> 38 [size =\"37266432\"]\n  22 [size=\"51155627\", alpha=\"0.19\", expect_size=\"15346688\"] \n  22 -> 30 [size =\"15346688\"]\n  22 -> 33 [size =\"15346688\"]\n  23 [size=\"86237867\", alpha=\"0.09\", expect_size=\"25871360\"] \n  23 -> 27 [size =\"25871360\"]\n  23 -> 28 [size =\"25871360\"]\n  23 -> 29 [size =\"25871360\"]\n  23 -> 36 [size =\"25871360\"]\n  24 [size=\"74926080\", alpha=\"0.10\", expect_size=\"22477824\"] \n  24 -> 30 [size =\"22477824\"]\n  24 -> 34 [size =\"22477824\"]\n  24 -> 38 [size =\"22477824\"]\n  25 [size=\"101553493\", alpha=\"0.07\", expect_size=\"30466048\"] \n  25 -> 27 [size =\"30466048\"]\n  25 -> 29 [size =\"30466048\"]\n  25 -> 30 [size =\"30466048\"]\n  25 -> 31 [size =\"30466048\"]\n  25 -> 34 [size =\"30466048\"]\n  25 -> 35 [size =\"30466048\"]\n  25 -> 37 [size =\"30466048\"]\n  26 [size=\"86043307\", alpha=\"0.16\", expect_size=\"25812992\"] \n  26 -> 27 [size =\"25812992\"]\n  26 -> 28 [size =\"25812992\"]\n  26 -> 34 [size =\"25812992\"]\n  26 -> 36 [size =\"25812992\"]\n  26 -> 38 [size =\"25812992\"]\n  27 [size=\"29723307\", alpha=\"0.17\", expect_size=\"8916992\"] \n  27 -> 40 [size =\"8916992\"]\n  27 -> 47 [size =\"8916992\"]\n  27 -> 49 [size =\"8916992\"]\n  27 -> 50 [size =\"8916992\"]\n  28 [size=\"149507413\", alpha=\"0.05\", expect_size=\"44852224\"] \n  28 -> 39 [size =\"44852224\"]\n  28 -> 41 [size =\"44852224\"]\n  28 -> 43 [size =\"44852224\"]\n  28 -> 45 [size =\"44852224\"]\n  28 -> 46 [size =\"44852224\"]\n  28 -> 50 [size =\"44852224\"]\n  29 [size=\"126938453\", alpha=\"0.10\", expect_size=\"38081536\"] \n  29 -> 41 [size =\"38081536\"]\n  29 -> 41 [size =\"38081536\"]\n  29 -> 46 [size =\"38081536\"]\n  29 -> 49 [size =\"38081536\"]\n  29 -> 50 [size =\"38081536\"]\n  30 [size=\"111233707\", alpha=\"0.03\", expect_size=\"33370112\"] \n  30 -> 41 [size =\"33370112\"]\n  30 -> 43 [size =\"33370112\"]\n  30 -> 47 [size =\"33370112\"]\n  30 -> 48 [size =\"33370112\"]\n  30 -> 50 [size =\"33370112\"]\n  31 [size=\"150667947\", alpha=\"0.02\", expect_size=\"45200384\"] \n  31 -> 39 [size =\"45200384\"]\n  31 -> 40 [size =\"45200384\"]\n  31 -> 42 [size =\"45200384\"]\n  31 -> 48 [size =\"45200384\"]\n  31 -> 50 [size =\"45200384\"]\n  32 [size=\"143462400\", alpha=\"0.06\", expect_size=\"43038720\"] \n  32 -> 40 [size =\"43038720\"]\n  32 -> 42 [size =\"43038720\"]\n  32 -> 47 [size =\"43038720\"]\n  32 -> 48 [size =\"43038720\"]\n  33 [size=\"135782400\", alpha=\"0.19\", expect_size=\"40734720\"] \n  33 -> 40 [size =\"40734720\"]\n  33 -> 43 [size =\"40734720\"]\n  33 -> 50 [size =\"40734720\"]\n  34 [size=\"51759787\", alpha=\"0.07\", expect_size=\"15527936\"] \n  34 -> 41 [size =\"15527936\"]\n  34 -> 42 [size =\"15527936\"]\n  34 -> 43 [size =\"15527936\"]\n  34 -> 44 [size =\"15527936\"]\n  35 [size=\"128426667\", alpha=\"0.17\", expect_size=\"38528000\"] \n  35 -> 39 [size =\"38528000\"]\n  35 -> 46 [size =\"38528000\"]\n  35 -> 48 [size =\"38528000\"]\n  36 [size=\"22978560\", alpha=\"0.08\", expect_size=\"6893568\"] \n  36 -> 40 [size =\"6893568\"]\n  36 -> 41 [size =\"6893568\"]\n  36 -> 48 [size =\"6893568\"]\n  37 [size=\"145377280\", alpha=\"0.03\", expect_size=\"43613184\"] \n  37 -> 48 [size =\"43613184\"]\n  38 [size=\"123750400\", alpha=\"0.16\", expect_size=\"37125120\"] \n  38 -> 39 [size =\"37125120\"]\n  38 -> 40 [size =\"37125120\"]\n  38 -> 41 [size =\"37125120\"]\n  38 -> 49 [size =\"37125120\"]\n  39 [size=\"159337813\", alpha=\"0.10\", expect_size=\"47801344\"] \n  40 [size=\"83063467\", alpha=\"0.18\", expect_size=\"24919040\"] \n  41 [size=\"110578347\", alpha=\"0.20\", expect_size=\"33173504\"] \n  42 [size=\"122651307\", alpha=\"0.06\", expect_size=\"36795392\"] \n  43 [size=\"166512640\", alpha=\"0.00\", expect_size=\"49953792\"] \n  44 [size=\"162375680\", alpha=\"0.02\", expect_size=\"48712704\"] \n  45 [size=\"61361493\", alpha=\"0.15\", expect_size=\"18408448\"] \n  46 [size=\"40499200\", alpha=\"0.16\", expect_size=\"12149760\"] \n  47 [size=\"104567467\", alpha=\"0.19\", expect_size=\"31370240\"] \n  48 [size=\"130512213\", alpha=\"0.19\", expect_size=\"39153664\"] \n  49 [size=\"101184853\", alpha=\"0.12\", expect_size=\"30355456\"] \n  50 [size=\"26112000\", alpha=\"0.18\", expect_size=\"7833600\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.75.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.3 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"87242752\", alpha=\"0.17\", expect_size=\"43621376\"] \n  1 -> 4 [size =\"43621376\"]\n  2 [size=\"24936448\", alpha=\"0.11\", expect_size=\"12468224\"] \n  2 -> 3 [size =\"12468224\"]\n  2 -> 5 [size =\"12468224\"]\n  3 [size=\"65642496\", alpha=\"0.04\", expect_size=\"32821248\"] \n  3 -> 6 [size =\"32821248\"]\n  3 -> 7 [size =\"32821248\"]\n  4 [size=\"94326784\", alpha=\"0.17\", expect_size=\"47163392\"] \n  5 [size=\"91504640\", alpha=\"0.01\", expect_size=\"45752320\"] \n  5 -> 8 [size =\"45752320\"]\n  6 [size=\"43628544\", alpha=\"0.09\", expect_size=\"21814272\"] \n  7 [size=\"72337408\", alpha=\"0.20\", expect_size=\"36168704\"] \n  7 -> 9 [size =\"36168704\"]\n  7 -> 10 [size =\"36168704\"]\n  7 -> 11 [size =\"36168704\"]\n  8 [size=\"28497920\", alpha=\"0.02\", expect_size=\"14248960\"] \n  8 -> 11 [size =\"14248960\"]\n  9 [size=\"97595392\", alpha=\"0.06\", expect_size=\"48797696\"] \n  9 -> 12 [size =\"48797696\"]\n  10 [size=\"75868160\", alpha=\"0.15\", expect_size=\"37934080\"] \n  11 [size=\"66066432\", alpha=\"0.16\", expect_size=\"33033216\"] \n  11 -> 13 [size =\"33033216\"]\n  12 [size=\"54257664\", alpha=\"0.11\", expect_size=\"27128832\"] \n  13 [size=\"104284160\", alpha=\"0.14\", expect_size=\"52142080\"] \n  13 -> 14 [size =\"52142080\"]\n  13 -> 15 [size =\"52142080\"]\n  14 [size=\"27860992\", alpha=\"0.00\", expect_size=\"13930496\"] \n  14 -> 16 [size =\"13930496\"]\n  14 -> 17 [size =\"13930496\"]\n  15 [size=\"11565056\", alpha=\"0.17\", expect_size=\"5782528\"] \n  16 [size=\"16596992\", alpha=\"0.19\", expect_size=\"8298496\"] \n  16 -> 19 [size =\"8298496\"]\n  17 [size=\"58415104\", alpha=\"0.09\", expect_size=\"29207552\"] \n  17 -> 18 [size =\"29207552\"]\n  18 [size=\"57235456\", alpha=\"0.08\", expect_size=\"28617728\"] \n  19 [size=\"67397632\", alpha=\"0.16\", expect_size=\"33698816\"] \n  19 -> 20 [size =\"33698816\"]\n  19 -> 21 [size =\"33698816\"]\n  20 [size=\"96020480\", alpha=\"0.19\", expect_size=\"48010240\"] \n  20 -> 22 [size =\"48010240\"]\n  20 -> 23 [size =\"48010240\"]\n  21 [size=\"72255488\", alpha=\"0.19\", expect_size=\"36127744\"] \n  22 [size=\"54093824\", alpha=\"0.01\", expect_size=\"27046912\"] \n  23 [size=\"13295616\", alpha=\"0.16\", expect_size=\"6647808\"] \n  23 -> 24 [size =\"6647808\"]\n  23 -> 25 [size =\"6647808\"]\n  23 -> 26 [size =\"6647808\"]\n  24 [size=\"79798272\", alpha=\"0.08\", expect_size=\"39899136\"] \n  24 -> 27 [size =\"39899136\"]\n  24 -> 28 [size =\"39899136\"]\n  25 [size=\"80756736\", alpha=\"0.17\", expect_size=\"40378368\"] \n  25 -> 27 [size =\"40378368\"]\n  25 -> 29 [size =\"40378368\"]\n  26 [size=\"65038336\", alpha=\"0.13\", expect_size=\"32519168\"] \n  27 [size=\"59854848\", alpha=\"0.03\", expect_size=\"29927424\"] \n  27 -> 30 [size =\"29927424\"]\n  27 -> 31 [size =\"29927424\"]\n  28 [size=\"100229120\", alpha=\"0.16\", expect_size=\"50114560\"] \n  28 -> 32 [size =\"50114560\"]\n  29 [size=\"45570048\", alpha=\"0.08\", expect_size=\"22785024\"] \n  30 [size=\"25014272\", alpha=\"0.14\", expect_size=\"12507136\"] \n  30 -> 34 [size =\"12507136\"]\n  31 [size=\"20301824\", alpha=\"0.11\", expect_size=\"10150912\"] \n  31 -> 33 [size =\"10150912\"]\n  32 [size=\"13817856\", alpha=\"0.18\", expect_size=\"6908928\"] \n  33 [size=\"20013056\", alpha=\"0.04\", expect_size=\"10006528\"] \n  33 -> 35 [size =\"10006528\"]\n  33 -> 36 [size =\"10006528\"]\n  33 -> 37 [size =\"10006528\"]\n  34 [size=\"94046208\", alpha=\"0.14\", expect_size=\"47023104\"] \n  35 [size=\"36642816\", alpha=\"0.05\", expect_size=\"18321408\"] \n  35 -> 39 [size =\"18321408\"]\n  36 [size=\"23195648\", alpha=\"0.16\", expect_size=\"11597824\"] \n  36 -> 38 [size =\"11597824\"]\n  37 [size=\"86847488\", alpha=\"0.18\", expect_size=\"43423744\"] \n  38 [size=\"100708352\", alpha=\"0.10\", expect_size=\"50354176\"] \n  38 -> 40 [size =\"50354176\"]\n  38 -> 41 [size =\"50354176\"]\n  39 [size=\"82792448\", alpha=\"0.14\", expect_size=\"41396224\"] \n  40 [size=\"25835520\", alpha=\"0.16\", expect_size=\"12917760\"] \n  40 -> 44 [size =\"12917760\"]\n  41 [size=\"89593856\", alpha=\"0.11\", expect_size=\"44796928\"] \n  41 -> 42 [size =\"44796928\"]\n  41 -> 43 [size =\"44796928\"]\n  42 [size=\"46536704\", alpha=\"0.15\", expect_size=\"23268352\"] \n  42 -> 45 [size =\"23268352\"]\n  42 -> 46 [size =\"23268352\"]\n  43 [size=\"34805760\", alpha=\"0.00\", expect_size=\"17402880\"] \n  43 -> 46 [size =\"17402880\"]\n  44 [size=\"53831680\", alpha=\"0.20\", expect_size=\"26915840\"] \n  44 -> 47 [size =\"26915840\"]\n  45 [size=\"26617856\", alpha=\"0.14\", expect_size=\"13308928\"] \n  45 -> 48 [size =\"13308928\"]\n  45 -> 49 [size =\"13308928\"]\n  46 [size=\"48619520\", alpha=\"0.00\", expect_size=\"24309760\"] \n  47 [size=\"31574016\", alpha=\"0.17\", expect_size=\"15787008\"] \n  47 -> 48 [size =\"15787008\"]\n  47 -> 49 [size =\"15787008\"]\n  48 [size=\"23412736\", alpha=\"0.12\", expect_size=\"11706368\"] \n  49 [size=\"70887424\", alpha=\"0.15\", expect_size=\"35443712\"] \n  49 -> 50 [size =\"35443712\"]\n  50 [size=\"42166272\", alpha=\"0.01\", expect_size=\"21083136\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.76.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.9 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"108462080\", alpha=\"0.02\", expect_size=\"32538624\"] \n  1 -> 37 [size =\"32538624\"]\n  1 -> 38 [size =\"32538624\"]\n  2 [size=\"86401707\", alpha=\"0.20\", expect_size=\"25920512\"] \n  2 -> 39 [size =\"25920512\"]\n  3 [size=\"83551573\", alpha=\"0.11\", expect_size=\"25065472\"] \n  3 -> 40 [size =\"25065472\"]\n  3 -> 43 [size =\"25065472\"]\n  3 -> 46 [size =\"25065472\"]\n  4 [size=\"153586347\", alpha=\"0.15\", expect_size=\"46075904\"] \n  4 -> 43 [size =\"46075904\"]\n  4 -> 46 [size =\"46075904\"]\n  5 [size=\"131191467\", alpha=\"0.01\", expect_size=\"39357440\"] \n  5 -> 40 [size =\"39357440\"]\n  5 -> 44 [size =\"39357440\"]\n  5 -> 48 [size =\"39357440\"]\n  6 [size=\"65860267\", alpha=\"0.06\", expect_size=\"19758080\"] \n  6 -> 42 [size =\"19758080\"]\n  6 -> 45 [size =\"19758080\"]\n  6 -> 47 [size =\"19758080\"]\n  7 [size=\"104342187\", alpha=\"0.19\", expect_size=\"31302656\"] \n  7 -> 46 [size =\"31302656\"]\n  7 -> 50 [size =\"31302656\"]\n  8 [size=\"38075733\", alpha=\"0.15\", expect_size=\"11422720\"] \n  8 -> 39 [size =\"11422720\"]\n  8 -> 44 [size =\"11422720\"]\n  8 -> 46 [size =\"11422720\"]\n  9 [size=\"90828800\", alpha=\"0.07\", expect_size=\"27248640\"] \n  9 -> 39 [size =\"27248640\"]\n  9 -> 40 [size =\"27248640\"]\n  9 -> 44 [size =\"27248640\"]\n  10 [size=\"149275307\", alpha=\"0.04\", expect_size=\"44782592\"] \n  10 -> 40 [size =\"44782592\"]\n  10 -> 41 [size =\"44782592\"]\n  10 -> 46 [size =\"44782592\"]\n  11 [size=\"144104107\", alpha=\"0.08\", expect_size=\"43231232\"] \n  11 -> 36 [size =\"43231232\"]\n  11 -> 37 [size =\"43231232\"]\n  11 -> 39 [size =\"43231232\"]\n  11 -> 45 [size =\"43231232\"]\n  12 [size=\"159600640\", alpha=\"0.18\", expect_size=\"47880192\"] \n  12 -> 37 [size =\"47880192\"]\n  12 -> 38 [size =\"47880192\"]\n  12 -> 40 [size =\"47880192\"]\n  12 -> 44 [size =\"47880192\"]\n  12 -> 45 [size =\"47880192\"]\n  12 -> 46 [size =\"47880192\"]\n  13 [size=\"157231787\", alpha=\"0.19\", expect_size=\"47169536\"] \n  13 -> 37 [size =\"47169536\"]\n  13 -> 38 [size =\"47169536\"]\n  13 -> 39 [size =\"47169536\"]\n  13 -> 40 [size =\"47169536\"]\n  13 -> 41 [size =\"47169536\"]\n  13 -> 48 [size =\"47169536\"]\n  14 [size=\"89463467\", alpha=\"0.05\", expect_size=\"26839040\"] \n  14 -> 40 [size =\"26839040\"]\n  14 -> 45 [size =\"26839040\"]\n  14 -> 48 [size =\"26839040\"]\n  15 [size=\"47052800\", alpha=\"0.01\", expect_size=\"14115840\"] \n  15 -> 37 [size =\"14115840\"]\n  15 -> 38 [size =\"14115840\"]\n  16 [size=\"57480533\", alpha=\"0.05\", expect_size=\"17244160\"] \n  16 -> 37 [size =\"17244160\"]\n  16 -> 38 [size =\"17244160\"]\n  16 -> 42 [size =\"17244160\"]\n  17 [size=\"101058560\", alpha=\"0.03\", expect_size=\"30317568\"] \n  17 -> 37 [size =\"30317568\"]\n  17 -> 43 [size =\"30317568\"]\n  17 -> 44 [size =\"30317568\"]\n  17 -> 45 [size =\"30317568\"]\n  17 -> 48 [size =\"30317568\"]\n  18 [size=\"97061547\", alpha=\"0.06\", expect_size=\"29118464\"] \n  18 -> 43 [size =\"29118464\"]\n  18 -> 50 [size =\"29118464\"]\n  19 [size=\"54514347\", alpha=\"0.15\", expect_size=\"16354304\"] \n  19 -> 38 [size =\"16354304\"]\n  19 -> 40 [size =\"16354304\"]\n  19 -> 41 [size =\"16354304\"]\n  19 -> 43 [size =\"16354304\"]\n  19 -> 46 [size =\"16354304\"]\n  20 [size=\"107076267\", alpha=\"0.08\", expect_size=\"32122880\"] \n  20 -> 38 [size =\"32122880\"]\n  20 -> 40 [size =\"32122880\"]\n  20 -> 44 [size =\"32122880\"]\n  20 -> 47 [size =\"32122880\"]\n  21 [size=\"141820587\", alpha=\"0.12\", expect_size=\"42546176\"] \n  21 -> 37 [size =\"42546176\"]\n  21 -> 39 [size =\"42546176\"]\n  22 [size=\"44397227\", alpha=\"0.05\", expect_size=\"13319168\"] \n  22 -> 37 [size =\"13319168\"]\n  22 -> 44 [size =\"13319168\"]\n  22 -> 46 [size =\"13319168\"]\n  23 [size=\"27559253\", alpha=\"0.07\", expect_size=\"8267776\"] \n  23 -> 40 [size =\"8267776\"]\n  23 -> 46 [size =\"8267776\"]\n  24 [size=\"174752427\", alpha=\"0.05\", expect_size=\"52425728\"] \n  24 -> 43 [size =\"52425728\"]\n  24 -> 46 [size =\"52425728\"]\n  24 -> 48 [size =\"52425728\"]\n  25 [size=\"57029973\", alpha=\"0.18\", expect_size=\"17108992\"] \n  25 -> 41 [size =\"17108992\"]\n  25 -> 43 [size =\"17108992\"]\n  25 -> 46 [size =\"17108992\"]\n  25 -> 48 [size =\"17108992\"]\n  26 [size=\"63757653\", alpha=\"0.18\", expect_size=\"19127296\"] \n  26 -> 37 [size =\"19127296\"]\n  26 -> 43 [size =\"19127296\"]\n  26 -> 47 [size =\"19127296\"]\n  27 [size=\"101543253\", alpha=\"0.08\", expect_size=\"30462976\"] \n  27 -> 37 [size =\"30462976\"]\n  27 -> 39 [size =\"30462976\"]\n  27 -> 41 [size =\"30462976\"]\n  27 -> 42 [size =\"30462976\"]\n  27 -> 43 [size =\"30462976\"]\n  27 -> 46 [size =\"30462976\"]\n  27 -> 47 [size =\"30462976\"]\n  28 [size=\"127941973\", alpha=\"0.01\", expect_size=\"38382592\"] \n  28 -> 37 [size =\"38382592\"]\n  28 -> 40 [size =\"38382592\"]\n  28 -> 42 [size =\"38382592\"]\n  28 -> 43 [size =\"38382592\"]\n  28 -> 44 [size =\"38382592\"]\n  28 -> 46 [size =\"38382592\"]\n  28 -> 49 [size =\"38382592\"]\n  28 -> 50 [size =\"38382592\"]\n  29 [size=\"173151573\", alpha=\"0.03\", expect_size=\"51945472\"] \n  29 -> 37 [size =\"51945472\"]\n  29 -> 38 [size =\"51945472\"]\n  29 -> 40 [size =\"51945472\"]\n  29 -> 41 [size =\"51945472\"]\n  29 -> 42 [size =\"51945472\"]\n  29 -> 43 [size =\"51945472\"]\n  29 -> 44 [size =\"51945472\"]\n  29 -> 48 [size =\"51945472\"]\n  30 [size=\"137325227\", alpha=\"0.02\", expect_size=\"41197568\"] \n  30 -> 37 [size =\"41197568\"]\n  30 -> 38 [size =\"41197568\"]\n  30 -> 40 [size =\"41197568\"]\n  30 -> 42 [size =\"41197568\"]\n  30 -> 43 [size =\"41197568\"]\n  30 -> 43 [size =\"41197568\"]\n  30 -> 44 [size =\"41197568\"]\n  30 -> 48 [size =\"41197568\"]\n  31 [size=\"43649707\", alpha=\"0.18\", expect_size=\"13094912\"] \n  31 -> 44 [size =\"13094912\"]\n  31 -> 47 [size =\"13094912\"]\n  31 -> 48 [size =\"13094912\"]\n  32 [size=\"140407467\", alpha=\"0.11\", expect_size=\"42122240\"] \n  32 -> 38 [size =\"42122240\"]\n  32 -> 41 [size =\"42122240\"]\n  32 -> 42 [size =\"42122240\"]\n  32 -> 43 [size =\"42122240\"]\n  32 -> 46 [size =\"42122240\"]\n  32 -> 47 [size =\"42122240\"]\n  32 -> 50 [size =\"42122240\"]\n  33 [size=\"24664747\", alpha=\"0.02\", expect_size=\"7399424\"] \n  33 -> 39 [size =\"7399424\"]\n  33 -> 41 [size =\"7399424\"]\n  33 -> 43 [size =\"7399424\"]\n  33 -> 46 [size =\"7399424\"]\n  33 -> 47 [size =\"7399424\"]\n  33 -> 48 [size =\"7399424\"]\n  34 [size=\"77066240\", alpha=\"0.02\", expect_size=\"23119872\"] \n  34 -> 37 [size =\"23119872\"]\n  34 -> 38 [size =\"23119872\"]\n  34 -> 41 [size =\"23119872\"]\n  34 -> 44 [size =\"23119872\"]\n  34 -> 45 [size =\"23119872\"]\n  34 -> 48 [size =\"23119872\"]\n  35 [size=\"119152640\", alpha=\"0.06\", expect_size=\"35745792\"] \n  35 -> 37 [size =\"35745792\"]\n  35 -> 43 [size =\"35745792\"]\n  36 [size=\"107352747\", alpha=\"0.15\", expect_size=\"32205824\"] \n  37 [size=\"90053973\", alpha=\"0.15\", expect_size=\"27016192\"] \n  38 [size=\"154125653\", alpha=\"0.04\", expect_size=\"46237696\"] \n  39 [size=\"162880853\", alpha=\"0.19\", expect_size=\"48864256\"] \n  40 [size=\"32389120\", alpha=\"0.05\", expect_size=\"9716736\"] \n  41 [size=\"51739307\", alpha=\"0.06\", expect_size=\"15521792\"] \n  42 [size=\"32986453\", alpha=\"0.11\", expect_size=\"9895936\"] \n  43 [size=\"118254933\", alpha=\"0.18\", expect_size=\"35476480\"] \n  44 [size=\"132737707\", alpha=\"0.04\", expect_size=\"39821312\"] \n  45 [size=\"148415147\", alpha=\"0.15\", expect_size=\"44524544\"] \n  46 [size=\"37580800\", alpha=\"0.13\", expect_size=\"11274240\"] \n  47 [size=\"154818560\", alpha=\"0.01\", expect_size=\"46445568\"] \n  48 [size=\"111848107\", alpha=\"0.03\", expect_size=\"33554432\"] \n  49 [size=\"145544533\", alpha=\"0.05\", expect_size=\"43663360\"] \n  50 [size=\"135659520\", alpha=\"0.02\", expect_size=\"40697856\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.77.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"89808213\", alpha=\"0.05\", expect_size=\"26942464\"] \n  1 -> 24 [size =\"26942464\"]\n  1 -> 25 [size =\"26942464\"]\n  1 -> 26 [size =\"26942464\"]\n  2 [size=\"106690560\", alpha=\"0.04\", expect_size=\"32007168\"] \n  2 -> 16 [size =\"32007168\"]\n  2 -> 17 [size =\"32007168\"]\n  2 -> 25 [size =\"32007168\"]\n  2 -> 28 [size =\"32007168\"]\n  3 [size=\"108550827\", alpha=\"0.12\", expect_size=\"32565248\"] \n  3 -> 16 [size =\"32565248\"]\n  3 -> 17 [size =\"32565248\"]\n  3 -> 18 [size =\"32565248\"]\n  3 -> 21 [size =\"32565248\"]\n  3 -> 25 [size =\"32565248\"]\n  4 [size=\"68362240\", alpha=\"0.14\", expect_size=\"20508672\"] \n  4 -> 16 [size =\"20508672\"]\n  4 -> 17 [size =\"20508672\"]\n  4 -> 21 [size =\"20508672\"]\n  4 -> 22 [size =\"20508672\"]\n  4 -> 23 [size =\"20508672\"]\n  4 -> 25 [size =\"20508672\"]\n  5 [size=\"161795413\", alpha=\"0.11\", expect_size=\"48538624\"] \n  5 -> 16 [size =\"48538624\"]\n  5 -> 21 [size =\"48538624\"]\n  5 -> 25 [size =\"48538624\"]\n  5 -> 28 [size =\"48538624\"]\n  5 -> 29 [size =\"48538624\"]\n  6 [size=\"109803520\", alpha=\"0.01\", expect_size=\"32941056\"] \n  6 -> 18 [size =\"32941056\"]\n  6 -> 22 [size =\"32941056\"]\n  6 -> 27 [size =\"32941056\"]\n  6 -> 28 [size =\"32941056\"]\n  7 [size=\"153449813\", alpha=\"0.11\", expect_size=\"46034944\"] \n  7 -> 17 [size =\"46034944\"]\n  7 -> 18 [size =\"46034944\"]\n  7 -> 21 [size =\"46034944\"]\n  7 -> 22 [size =\"46034944\"]\n  7 -> 29 [size =\"46034944\"]\n  8 [size=\"44229973\", alpha=\"0.07\", expect_size=\"13268992\"] \n  8 -> 16 [size =\"13268992\"]\n  8 -> 22 [size =\"13268992\"]\n  8 -> 24 [size =\"13268992\"]\n  8 -> 25 [size =\"13268992\"]\n  8 -> 26 [size =\"13268992\"]\n  8 -> 28 [size =\"13268992\"]\n  9 [size=\"174533973\", alpha=\"0.07\", expect_size=\"52360192\"] \n  9 -> 16 [size =\"52360192\"]\n  9 -> 17 [size =\"52360192\"]\n  9 -> 20 [size =\"52360192\"]\n  9 -> 26 [size =\"52360192\"]\n  9 -> 29 [size =\"52360192\"]\n  10 [size=\"111670613\", alpha=\"0.00\", expect_size=\"33501184\"] \n  10 -> 20 [size =\"33501184\"]\n  10 -> 23 [size =\"33501184\"]\n  11 [size=\"158262613\", alpha=\"0.18\", expect_size=\"47478784\"] \n  11 -> 19 [size =\"47478784\"]\n  11 -> 22 [size =\"47478784\"]\n  11 -> 26 [size =\"47478784\"]\n  11 -> 28 [size =\"47478784\"]\n  12 [size=\"37167787\", alpha=\"0.18\", expect_size=\"11150336\"] \n  12 -> 19 [size =\"11150336\"]\n  12 -> 21 [size =\"11150336\"]\n  12 -> 23 [size =\"11150336\"]\n  12 -> 26 [size =\"11150336\"]\n  12 -> 28 [size =\"11150336\"]\n  13 [size=\"69734400\", alpha=\"0.12\", expect_size=\"20920320\"] \n  13 -> 16 [size =\"20920320\"]\n  13 -> 17 [size =\"20920320\"]\n  14 [size=\"166024533\", alpha=\"0.16\", expect_size=\"49807360\"] \n  14 -> 18 [size =\"49807360\"]\n  14 -> 21 [size =\"49807360\"]\n  14 -> 23 [size =\"49807360\"]\n  15 [size=\"119323307\", alpha=\"0.02\", expect_size=\"35796992\"] \n  15 -> 16 [size =\"35796992\"]\n  15 -> 17 [size =\"35796992\"]\n  15 -> 26 [size =\"35796992\"]\n  16 [size=\"52473173\", alpha=\"0.06\", expect_size=\"15741952\"] \n  16 -> 30 [size =\"15741952\"]\n  16 -> 36 [size =\"15741952\"]\n  16 -> 37 [size =\"15741952\"]\n  16 -> 44 [size =\"15741952\"]\n  17 [size=\"56439467\", alpha=\"0.13\", expect_size=\"16931840\"] \n  17 -> 36 [size =\"16931840\"]\n  17 -> 44 [size =\"16931840\"]\n  18 [size=\"145397760\", alpha=\"0.10\", expect_size=\"43619328\"] \n  18 -> 30 [size =\"43619328\"]\n  18 -> 31 [size =\"43619328\"]\n  18 -> 32 [size =\"43619328\"]\n  18 -> 33 [size =\"43619328\"]\n  18 -> 34 [size =\"43619328\"]\n  18 -> 35 [size =\"43619328\"]\n  18 -> 37 [size =\"43619328\"]\n  18 -> 39 [size =\"43619328\"]\n  18 -> 40 [size =\"43619328\"]\n  18 -> 44 [size =\"43619328\"]\n  19 [size=\"44642987\", alpha=\"0.19\", expect_size=\"13392896\"] \n  19 -> 31 [size =\"13392896\"]\n  19 -> 33 [size =\"13392896\"]\n  19 -> 34 [size =\"13392896\"]\n  19 -> 37 [size =\"13392896\"]\n  20 [size=\"98764800\", alpha=\"0.13\", expect_size=\"29629440\"] \n  20 -> 30 [size =\"29629440\"]\n  20 -> 33 [size =\"29629440\"]\n  20 -> 39 [size =\"29629440\"]\n  20 -> 41 [size =\"29629440\"]\n  20 -> 43 [size =\"29629440\"]\n  20 -> 44 [size =\"29629440\"]\n  21 [size=\"102382933\", alpha=\"0.17\", expect_size=\"30714880\"] \n  21 -> 30 [size =\"30714880\"]\n  21 -> 33 [size =\"30714880\"]\n  22 [size=\"86149120\", alpha=\"0.12\", expect_size=\"25844736\"] \n  22 -> 33 [size =\"25844736\"]\n  22 -> 36 [size =\"25844736\"]\n  22 -> 37 [size =\"25844736\"]\n  22 -> 40 [size =\"25844736\"]\n  23 [size=\"73632427\", alpha=\"0.19\", expect_size=\"22089728\"] \n  23 -> 32 [size =\"22089728\"]\n  23 -> 36 [size =\"22089728\"]\n  23 -> 37 [size =\"22089728\"]\n  24 [size=\"168062293\", alpha=\"0.12\", expect_size=\"50418688\"] \n  24 -> 30 [size =\"50418688\"]\n  24 -> 31 [size =\"50418688\"]\n  24 -> 32 [size =\"50418688\"]\n  24 -> 33 [size =\"50418688\"]\n  24 -> 34 [size =\"50418688\"]\n  24 -> 39 [size =\"50418688\"]\n  24 -> 40 [size =\"50418688\"]\n  25 [size=\"135871147\", alpha=\"0.03\", expect_size=\"40761344\"] \n  25 -> 32 [size =\"40761344\"]\n  25 -> 40 [size =\"40761344\"]\n  26 [size=\"154391893\", alpha=\"0.06\", expect_size=\"46317568\"] \n  26 -> 32 [size =\"46317568\"]\n  26 -> 44 [size =\"46317568\"]\n  27 [size=\"43987627\", alpha=\"0.07\", expect_size=\"13196288\"] \n  27 -> 35 [size =\"13196288\"]\n  28 [size=\"146394453\", alpha=\"0.11\", expect_size=\"43918336\"] \n  28 -> 30 [size =\"43918336\"]\n  28 -> 34 [size =\"43918336\"]\n  28 -> 37 [size =\"43918336\"]\n  28 -> 42 [size =\"43918336\"]\n  29 [size=\"69741227\", alpha=\"0.15\", expect_size=\"20922368\"] \n  29 -> 30 [size =\"20922368\"]\n  29 -> 31 [size =\"20922368\"]\n  29 -> 32 [size =\"20922368\"]\n  29 -> 33 [size =\"20922368\"]\n  29 -> 38 [size =\"20922368\"]\n  29 -> 40 [size =\"20922368\"]\n  30 [size=\"61723307\", alpha=\"0.10\", expect_size=\"18516992\"] \n  30 -> 47 [size =\"18516992\"]\n  31 [size=\"167567360\", alpha=\"0.04\", expect_size=\"50270208\"] \n  31 -> 48 [size =\"50270208\"]\n  31 -> 50 [size =\"50270208\"]\n  32 [size=\"145039360\", alpha=\"0.00\", expect_size=\"43511808\"] \n  32 -> 47 [size =\"43511808\"]\n  32 -> 48 [size =\"43511808\"]\n  33 [size=\"83350187\", alpha=\"0.03\", expect_size=\"25005056\"] \n  33 -> 45 [size =\"25005056\"]\n  33 -> 47 [size =\"25005056\"]\n  33 -> 49 [size =\"25005056\"]\n  33 -> 50 [size =\"25005056\"]\n  34 [size=\"73577813\", alpha=\"0.05\", expect_size=\"22073344\"] \n  34 -> 49 [size =\"22073344\"]\n  35 [size=\"166608213\", alpha=\"0.20\", expect_size=\"49982464\"] \n  36 [size=\"34904747\", alpha=\"0.19\", expect_size=\"10471424\"] \n  36 -> 47 [size =\"10471424\"]\n  36 -> 49 [size =\"10471424\"]\n  37 [size=\"85364053\", alpha=\"0.03\", expect_size=\"25609216\"] \n  37 -> 49 [size =\"25609216\"]\n  37 -> 50 [size =\"25609216\"]\n  38 [size=\"139393707\", alpha=\"0.03\", expect_size=\"41818112\"] \n  38 -> 50 [size =\"41818112\"]\n  39 [size=\"66461013\", alpha=\"0.07\", expect_size=\"19938304\"] \n  39 -> 49 [size =\"19938304\"]\n  40 [size=\"23623680\", alpha=\"0.01\", expect_size=\"7087104\"] \n  40 -> 46 [size =\"7087104\"]\n  40 -> 47 [size =\"7087104\"]\n  40 -> 48 [size =\"7087104\"]\n  40 -> 49 [size =\"7087104\"]\n  41 [size=\"105076053\", alpha=\"0.06\", expect_size=\"31522816\"] \n  41 -> 47 [size =\"31522816\"]\n  41 -> 48 [size =\"31522816\"]\n  42 [size=\"137038507\", alpha=\"0.20\", expect_size=\"41111552\"] \n  42 -> 46 [size =\"41111552\"]\n  42 -> 50 [size =\"41111552\"]\n  43 [size=\"139199147\", alpha=\"0.01\", expect_size=\"41759744\"] \n  43 -> 50 [size =\"41759744\"]\n  44 [size=\"163816107\", alpha=\"0.01\", expect_size=\"49144832\"] \n  44 -> 47 [size =\"49144832\"]\n  44 -> 48 [size =\"49144832\"]\n  44 -> 50 [size =\"49144832\"]\n  45 [size=\"44871680\", alpha=\"0.16\", expect_size=\"13461504\"] \n  46 [size=\"41492480\", alpha=\"0.08\", expect_size=\"12447744\"] \n  47 [size=\"31395840\", alpha=\"0.04\", expect_size=\"9418752\"] \n  48 [size=\"53548373\", alpha=\"0.16\", expect_size=\"16064512\"] \n  49 [size=\"78585173\", alpha=\"0.15\", expect_size=\"23575552\"] \n  50 [size=\"133679787\", alpha=\"0.19\", expect_size=\"40103936\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.78.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"110758400\", alpha=\"0.09\", expect_size=\"44303360\"] \n  1 -> 20 [size =\"44303360\"]\n  1 -> 21 [size =\"44303360\"]\n  2 [size=\"90616320\", alpha=\"0.07\", expect_size=\"36246528\"] \n  2 -> 16 [size =\"36246528\"]\n  2 -> 19 [size =\"36246528\"]\n  2 -> 20 [size =\"36246528\"]\n  2 -> 21 [size =\"36246528\"]\n  2 -> 22 [size =\"36246528\"]\n  3 [size=\"24629760\", alpha=\"0.08\", expect_size=\"9851904\"] \n  3 -> 15 [size =\"9851904\"]\n  3 -> 18 [size =\"9851904\"]\n  3 -> 21 [size =\"9851904\"]\n  4 [size=\"122419200\", alpha=\"0.12\", expect_size=\"48967680\"] \n  4 -> 14 [size =\"48967680\"]\n  4 -> 15 [size =\"48967680\"]\n  4 -> 22 [size =\"48967680\"]\n  5 [size=\"46159360\", alpha=\"0.09\", expect_size=\"18463744\"] \n  5 -> 15 [size =\"18463744\"]\n  5 -> 15 [size =\"18463744\"]\n  5 -> 19 [size =\"18463744\"]\n  6 [size=\"61457920\", alpha=\"0.03\", expect_size=\"24583168\"] \n  6 -> 15 [size =\"24583168\"]\n  6 -> 19 [size =\"24583168\"]\n  6 -> 24 [size =\"24583168\"]\n  7 [size=\"44838400\", alpha=\"0.10\", expect_size=\"17935360\"] \n  7 -> 18 [size =\"17935360\"]\n  7 -> 19 [size =\"17935360\"]\n  7 -> 23 [size =\"17935360\"]\n  8 [size=\"87088640\", alpha=\"0.05\", expect_size=\"34835456\"] \n  8 -> 14 [size =\"34835456\"]\n  8 -> 17 [size =\"34835456\"]\n  8 -> 19 [size =\"34835456\"]\n  9 [size=\"34513920\", alpha=\"0.11\", expect_size=\"13805568\"] \n  9 -> 14 [size =\"13805568\"]\n  9 -> 15 [size =\"13805568\"]\n  10 [size=\"71823360\", alpha=\"0.07\", expect_size=\"28729344\"] \n  10 -> 15 [size =\"28729344\"]\n  10 -> 16 [size =\"28729344\"]\n  10 -> 17 [size =\"28729344\"]\n  10 -> 24 [size =\"28729344\"]\n  11 [size=\"123187200\", alpha=\"0.13\", expect_size=\"49274880\"] \n  11 -> 14 [size =\"49274880\"]\n  12 [size=\"58403840\", alpha=\"0.06\", expect_size=\"23361536\"] \n  12 -> 19 [size =\"23361536\"]\n  13 [size=\"102617600\", alpha=\"0.16\", expect_size=\"41047040\"] \n  13 -> 18 [size =\"41047040\"]\n  14 [size=\"33354240\", alpha=\"0.10\", expect_size=\"13341696\"] \n  14 -> 27 [size =\"13341696\"]\n  14 -> 30 [size =\"13341696\"]\n  14 -> 33 [size =\"13341696\"]\n  14 -> 35 [size =\"13341696\"]\n  14 -> 36 [size =\"13341696\"]\n  14 -> 39 [size =\"13341696\"]\n  15 [size=\"106488320\", alpha=\"0.17\", expect_size=\"42595328\"] \n  15 -> 28 [size =\"42595328\"]\n  15 -> 32 [size =\"42595328\"]\n  15 -> 35 [size =\"42595328\"]\n  15 -> 39 [size =\"42595328\"]\n  15 -> 41 [size =\"42595328\"]\n  16 [size=\"42626560\", alpha=\"0.13\", expect_size=\"17050624\"] \n  16 -> 26 [size =\"17050624\"]\n  16 -> 28 [size =\"17050624\"]\n  16 -> 34 [size =\"17050624\"]\n  16 -> 35 [size =\"17050624\"]\n  17 [size=\"58007040\", alpha=\"0.05\", expect_size=\"23202816\"] \n  17 -> 26 [size =\"23202816\"]\n  17 -> 29 [size =\"23202816\"]\n  17 -> 30 [size =\"23202816\"]\n  17 -> 34 [size =\"23202816\"]\n  17 -> 39 [size =\"23202816\"]\n  18 [size=\"119457280\", alpha=\"0.11\", expect_size=\"47782912\"] \n  18 -> 25 [size =\"47782912\"]\n  18 -> 28 [size =\"47782912\"]\n  18 -> 31 [size =\"47782912\"]\n  18 -> 33 [size =\"47782912\"]\n  18 -> 34 [size =\"47782912\"]\n  18 -> 37 [size =\"47782912\"]\n  18 -> 40 [size =\"47782912\"]\n  19 [size=\"30497280\", alpha=\"0.12\", expect_size=\"12198912\"] \n  19 -> 27 [size =\"12198912\"]\n  19 -> 28 [size =\"12198912\"]\n  19 -> 31 [size =\"12198912\"]\n  19 -> 33 [size =\"12198912\"]\n  19 -> 37 [size =\"12198912\"]\n  20 [size=\"97832960\", alpha=\"0.15\", expect_size=\"39133184\"] \n  20 -> 27 [size =\"39133184\"]\n  20 -> 28 [size =\"39133184\"]\n  20 -> 31 [size =\"39133184\"]\n  20 -> 33 [size =\"39133184\"]\n  20 -> 34 [size =\"39133184\"]\n  20 -> 37 [size =\"39133184\"]\n  20 -> 38 [size =\"39133184\"]\n  21 [size=\"21637120\", alpha=\"0.15\", expect_size=\"8654848\"] \n  21 -> 26 [size =\"8654848\"]\n  21 -> 33 [size =\"8654848\"]\n  21 -> 35 [size =\"8654848\"]\n  21 -> 40 [size =\"8654848\"]\n  21 -> 41 [size =\"8654848\"]\n  22 [size=\"100495360\", alpha=\"0.09\", expect_size=\"40198144\"] \n  22 -> 26 [size =\"40198144\"]\n  22 -> 30 [size =\"40198144\"]\n  22 -> 31 [size =\"40198144\"]\n  22 -> 36 [size =\"40198144\"]\n  22 -> 39 [size =\"40198144\"]\n  22 -> 40 [size =\"40198144\"]\n  22 -> 41 [size =\"40198144\"]\n  23 [size=\"18152960\", alpha=\"0.04\", expect_size=\"7261184\"] \n  23 -> 28 [size =\"7261184\"]\n  23 -> 30 [size =\"7261184\"]\n  23 -> 31 [size =\"7261184\"]\n  23 -> 38 [size =\"7261184\"]\n  23 -> 40 [size =\"7261184\"]\n  23 -> 40 [size =\"7261184\"]\n  23 -> 41 [size =\"7261184\"]\n  24 [size=\"113059840\", alpha=\"0.18\", expect_size=\"45223936\"] \n  24 -> 29 [size =\"45223936\"]\n  24 -> 30 [size =\"45223936\"]\n  24 -> 35 [size =\"45223936\"]\n  24 -> 39 [size =\"45223936\"]\n  24 -> 41 [size =\"45223936\"]\n  25 [size=\"51886080\", alpha=\"0.17\", expect_size=\"20754432\"] \n  25 -> 43 [size =\"20754432\"]\n  25 -> 50 [size =\"20754432\"]\n  26 [size=\"31956480\", alpha=\"0.04\", expect_size=\"12782592\"] \n  26 -> 42 [size =\"12782592\"]\n  26 -> 49 [size =\"12782592\"]\n  27 [size=\"109186560\", alpha=\"0.17\", expect_size=\"43674624\"] \n  28 [size=\"20533760\", alpha=\"0.03\", expect_size=\"8213504\"] \n  28 -> 44 [size =\"8213504\"]\n  28 -> 47 [size =\"8213504\"]\n  29 [size=\"82823680\", alpha=\"0.12\", expect_size=\"33129472\"] \n  29 -> 45 [size =\"33129472\"]\n  29 -> 48 [size =\"33129472\"]\n  29 -> 49 [size =\"33129472\"]\n  30 [size=\"34513920\", alpha=\"0.11\", expect_size=\"13805568\"] \n  30 -> 50 [size =\"13805568\"]\n  31 [size=\"124935680\", alpha=\"0.08\", expect_size=\"49974272\"] \n  31 -> 47 [size =\"49974272\"]\n  32 [size=\"97848320\", alpha=\"0.14\", expect_size=\"39139328\"] \n  32 -> 43 [size =\"39139328\"]\n  32 -> 47 [size =\"39139328\"]\n  32 -> 48 [size =\"39139328\"]\n  33 [size=\"30758400\", alpha=\"0.14\", expect_size=\"12303360\"] \n  33 -> 42 [size =\"12303360\"]\n  33 -> 43 [size =\"12303360\"]\n  33 -> 47 [size =\"12303360\"]\n  33 -> 48 [size =\"12303360\"]\n  33 -> 49 [size =\"12303360\"]\n  34 [size=\"53153280\", alpha=\"0.18\", expect_size=\"21261312\"] \n  34 -> 44 [size =\"21261312\"]\n  34 -> 46 [size =\"21261312\"]\n  34 -> 47 [size =\"21261312\"]\n  34 -> 49 [size =\"21261312\"]\n  34 -> 50 [size =\"21261312\"]\n  35 [size=\"38420480\", alpha=\"0.18\", expect_size=\"15368192\"] \n  35 -> 42 [size =\"15368192\"]\n  35 -> 44 [size =\"15368192\"]\n  35 -> 47 [size =\"15368192\"]\n  35 -> 50 [size =\"15368192\"]\n  35 -> 50 [size =\"15368192\"]\n  36 [size=\"19609600\", alpha=\"0.03\", expect_size=\"7843840\"] \n  36 -> 47 [size =\"7843840\"]\n  37 [size=\"45071360\", alpha=\"0.15\", expect_size=\"18028544\"] \n  37 -> 42 [size =\"18028544\"]\n  37 -> 49 [size =\"18028544\"]\n  38 [size=\"28577280\", alpha=\"0.06\", expect_size=\"11430912\"] \n  38 -> 42 [size =\"11430912\"]\n  38 -> 50 [size =\"11430912\"]\n  39 [size=\"44106240\", alpha=\"0.19\", expect_size=\"17642496\"] \n  39 -> 42 [size =\"17642496\"]\n  39 -> 50 [size =\"17642496\"]\n  40 [size=\"113064960\", alpha=\"0.07\", expect_size=\"45225984\"] \n  40 -> 42 [size =\"45225984\"]\n  41 [size=\"58245120\", alpha=\"0.16\", expect_size=\"23298048\"] \n  41 -> 42 [size =\"23298048\"]\n  41 -> 45 [size =\"23298048\"]\n  41 -> 47 [size =\"23298048\"]\n  41 -> 50 [size =\"23298048\"]\n  42 [size=\"107686400\", alpha=\"0.00\", expect_size=\"43074560\"] \n  43 [size=\"70760960\", alpha=\"0.05\", expect_size=\"28304384\"] \n  44 [size=\"36976640\", alpha=\"0.07\", expect_size=\"14790656\"] \n  45 [size=\"26583040\", alpha=\"0.15\", expect_size=\"10633216\"] \n  46 [size=\"14999040\", alpha=\"0.07\", expect_size=\"5999616\"] \n  47 [size=\"31741440\", alpha=\"0.15\", expect_size=\"12696576\"] \n  48 [size=\"121712640\", alpha=\"0.04\", expect_size=\"48685056\"] \n  49 [size=\"37370880\", alpha=\"0.05\", expect_size=\"14948352\"] \n  50 [size=\"32038400\", alpha=\"0.09\", expect_size=\"12815360\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.79.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81199104\", alpha=\"0.12\", expect_size=\"40599552\"] \n  1 -> 13 [size =\"40599552\"]\n  2 [size=\"41799680\", alpha=\"0.11\", expect_size=\"20899840\"] \n  3 [size=\"73359360\", alpha=\"0.13\", expect_size=\"36679680\"] \n  3 -> 8 [size =\"36679680\"]\n  4 [size=\"94013440\", alpha=\"0.15\", expect_size=\"47006720\"] \n  4 -> 9 [size =\"47006720\"]\n  4 -> 10 [size =\"47006720\"]\n  5 [size=\"55422976\", alpha=\"0.04\", expect_size=\"27711488\"] \n  5 -> 8 [size =\"27711488\"]\n  5 -> 9 [size =\"27711488\"]\n  6 [size=\"43028480\", alpha=\"0.02\", expect_size=\"21514240\"] \n  6 -> 11 [size =\"21514240\"]\n  6 -> 12 [size =\"21514240\"]\n  7 [size=\"30216192\", alpha=\"0.08\", expect_size=\"15108096\"] \n  7 -> 12 [size =\"15108096\"]\n  8 [size=\"76691456\", alpha=\"0.18\", expect_size=\"38345728\"] \n  8 -> 16 [size =\"38345728\"]\n  8 -> 17 [size =\"38345728\"]\n  9 [size=\"23980032\", alpha=\"0.10\", expect_size=\"11990016\"] \n  9 -> 18 [size =\"11990016\"]\n  9 -> 19 [size =\"11990016\"]\n  10 [size=\"42661888\", alpha=\"0.14\", expect_size=\"21330944\"] \n  10 -> 17 [size =\"21330944\"]\n  11 [size=\"66228224\", alpha=\"0.15\", expect_size=\"33114112\"] \n  11 -> 14 [size =\"33114112\"]\n  11 -> 16 [size =\"33114112\"]\n  12 [size=\"30361600\", alpha=\"0.19\", expect_size=\"15180800\"] \n  12 -> 14 [size =\"15180800\"]\n  12 -> 15 [size =\"15180800\"]\n  12 -> 18 [size =\"15180800\"]\n  13 [size=\"80795648\", alpha=\"0.20\", expect_size=\"40397824\"] \n  13 -> 14 [size =\"40397824\"]\n  13 -> 16 [size =\"40397824\"]\n  14 [size=\"47650816\", alpha=\"0.07\", expect_size=\"23825408\"] \n  14 -> 22 [size =\"23825408\"]\n  14 -> 23 [size =\"23825408\"]\n  15 [size=\"23156736\", alpha=\"0.02\", expect_size=\"11578368\"] \n  16 [size=\"40468480\", alpha=\"0.02\", expect_size=\"20234240\"] \n  16 -> 21 [size =\"20234240\"]\n  16 -> 22 [size =\"20234240\"]\n  16 -> 24 [size =\"20234240\"]\n  16 -> 25 [size =\"20234240\"]\n  16 -> 26 [size =\"20234240\"]\n  17 [size=\"49618944\", alpha=\"0.15\", expect_size=\"24809472\"] \n  17 -> 20 [size =\"24809472\"]\n  17 -> 24 [size =\"24809472\"]\n  18 [size=\"85544960\", alpha=\"0.02\", expect_size=\"42772480\"] \n  18 -> 20 [size =\"42772480\"]\n  18 -> 25 [size =\"42772480\"]\n  18 -> 26 [size =\"42772480\"]\n  19 [size=\"77748224\", alpha=\"0.16\", expect_size=\"38874112\"] \n  19 -> 20 [size =\"38874112\"]\n  19 -> 21 [size =\"38874112\"]\n  20 [size=\"30326784\", alpha=\"0.16\", expect_size=\"15163392\"] \n  20 -> 28 [size =\"15163392\"]\n  20 -> 29 [size =\"15163392\"]\n  21 [size=\"94111744\", alpha=\"0.10\", expect_size=\"47055872\"] \n  21 -> 28 [size =\"47055872\"]\n  21 -> 30 [size =\"47055872\"]\n  22 [size=\"68323328\", alpha=\"0.11\", expect_size=\"34161664\"] \n  22 -> 29 [size =\"34161664\"]\n  23 [size=\"63637504\", alpha=\"0.06\", expect_size=\"31818752\"] \n  23 -> 27 [size =\"31818752\"]\n  23 -> 31 [size =\"31818752\"]\n  23 -> 32 [size =\"31818752\"]\n  24 [size=\"63582208\", alpha=\"0.18\", expect_size=\"31791104\"] \n  24 -> 29 [size =\"31791104\"]\n  25 [size=\"97208320\", alpha=\"0.20\", expect_size=\"48604160\"] \n  25 -> 28 [size =\"48604160\"]\n  25 -> 32 [size =\"48604160\"]\n  26 [size=\"13152256\", alpha=\"0.09\", expect_size=\"6576128\"] \n  26 -> 30 [size =\"6576128\"]\n  26 -> 32 [size =\"6576128\"]\n  27 [size=\"23177216\", alpha=\"0.01\", expect_size=\"11588608\"] \n  27 -> 33 [size =\"11588608\"]\n  27 -> 35 [size =\"11588608\"]\n  27 -> 38 [size =\"11588608\"]\n  28 [size=\"95174656\", alpha=\"0.08\", expect_size=\"47587328\"] \n  29 [size=\"103571456\", alpha=\"0.18\", expect_size=\"51785728\"] \n  29 -> 35 [size =\"51785728\"]\n  30 [size=\"85397504\", alpha=\"0.15\", expect_size=\"42698752\"] \n  30 -> 37 [size =\"42698752\"]\n  31 [size=\"65220608\", alpha=\"0.03\", expect_size=\"32610304\"] \n  31 -> 33 [size =\"32610304\"]\n  31 -> 35 [size =\"32610304\"]\n  31 -> 36 [size =\"32610304\"]\n  31 -> 37 [size =\"32610304\"]\n  32 [size=\"19384320\", alpha=\"0.15\", expect_size=\"9692160\"] \n  32 -> 34 [size =\"9692160\"]\n  32 -> 36 [size =\"9692160\"]\n  33 [size=\"73576448\", alpha=\"0.03\", expect_size=\"36788224\"] \n  33 -> 40 [size =\"36788224\"]\n  33 -> 43 [size =\"36788224\"]\n  34 [size=\"101926912\", alpha=\"0.18\", expect_size=\"50963456\"] \n  34 -> 41 [size =\"50963456\"]\n  34 -> 43 [size =\"50963456\"]\n  34 -> 44 [size =\"50963456\"]\n  35 [size=\"93591552\", alpha=\"0.16\", expect_size=\"46795776\"] \n  35 -> 39 [size =\"46795776\"]\n  35 -> 42 [size =\"46795776\"]\n  36 [size=\"93509632\", alpha=\"0.01\", expect_size=\"46754816\"] \n  37 [size=\"39854080\", alpha=\"0.13\", expect_size=\"19927040\"] \n  37 -> 41 [size =\"19927040\"]\n  38 [size=\"46727168\", alpha=\"0.02\", expect_size=\"23363584\"] \n  38 -> 39 [size =\"23363584\"]\n  38 -> 41 [size =\"23363584\"]\n  38 -> 42 [size =\"23363584\"]\n  38 -> 43 [size =\"23363584\"]\n  39 [size=\"85964800\", alpha=\"0.05\", expect_size=\"42982400\"] \n  39 -> 45 [size =\"42982400\"]\n  39 -> 48 [size =\"42982400\"]\n  40 [size=\"76687360\", alpha=\"0.12\", expect_size=\"38343680\"] \n  40 -> 47 [size =\"38343680\"]\n  41 [size=\"51073024\", alpha=\"0.17\", expect_size=\"25536512\"] \n  41 -> 46 [size =\"25536512\"]\n  41 -> 48 [size =\"25536512\"]\n  41 -> 49 [size =\"25536512\"]\n  42 [size=\"64866304\", alpha=\"0.14\", expect_size=\"32433152\"] \n  42 -> 50 [size =\"32433152\"]\n  43 [size=\"43573248\", alpha=\"0.02\", expect_size=\"21786624\"] \n  43 -> 45 [size =\"21786624\"]\n  43 -> 46 [size =\"21786624\"]\n  44 [size=\"57503744\", alpha=\"0.01\", expect_size=\"28751872\"] \n  44 -> 46 [size =\"28751872\"]\n  44 -> 49 [size =\"28751872\"]\n  44 -> 50 [size =\"28751872\"]\n  45 [size=\"49453056\", alpha=\"0.19\", expect_size=\"24726528\"] \n  46 [size=\"32096256\", alpha=\"0.18\", expect_size=\"16048128\"] \n  47 [size=\"35416064\", alpha=\"0.19\", expect_size=\"17708032\"] \n  48 [size=\"98543616\", alpha=\"0.18\", expect_size=\"49271808\"] \n  49 [size=\"13426688\", alpha=\"0.17\", expect_size=\"6713344\"] \n  50 [size=\"36073472\", alpha=\"0.12\", expect_size=\"18036736\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.8.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"107154773\", alpha=\"0.18\", expect_size=\"32146432\"] \n  1 -> 12 [size =\"32146432\"]\n  1 -> 15 [size =\"32146432\"]\n  1 -> 18 [size =\"32146432\"]\n  1 -> 25 [size =\"32146432\"]\n  2 [size=\"74294613\", alpha=\"0.01\", expect_size=\"22288384\"] \n  2 -> 11 [size =\"22288384\"]\n  2 -> 14 [size =\"22288384\"]\n  2 -> 18 [size =\"22288384\"]\n  2 -> 19 [size =\"22288384\"]\n  2 -> 20 [size =\"22288384\"]\n  2 -> 24 [size =\"22288384\"]\n  2 -> 25 [size =\"22288384\"]\n  2 -> 26 [size =\"22288384\"]\n  2 -> 27 [size =\"22288384\"]\n  2 -> 28 [size =\"22288384\"]\n  3 [size=\"140318720\", alpha=\"0.15\", expect_size=\"42095616\"] \n  3 -> 19 [size =\"42095616\"]\n  3 -> 20 [size =\"42095616\"]\n  3 -> 23 [size =\"42095616\"]\n  3 -> 26 [size =\"42095616\"]\n  4 [size=\"125699413\", alpha=\"0.16\", expect_size=\"37709824\"] \n  4 -> 11 [size =\"37709824\"]\n  4 -> 13 [size =\"37709824\"]\n  4 -> 14 [size =\"37709824\"]\n  4 -> 17 [size =\"37709824\"]\n  4 -> 18 [size =\"37709824\"]\n  4 -> 19 [size =\"37709824\"]\n  4 -> 20 [size =\"37709824\"]\n  4 -> 24 [size =\"37709824\"]\n  4 -> 28 [size =\"37709824\"]\n  5 [size=\"153559040\", alpha=\"0.18\", expect_size=\"46067712\"] \n  5 -> 10 [size =\"46067712\"]\n  5 -> 12 [size =\"46067712\"]\n  5 -> 13 [size =\"46067712\"]\n  5 -> 17 [size =\"46067712\"]\n  5 -> 18 [size =\"46067712\"]\n  5 -> 20 [size =\"46067712\"]\n  5 -> 21 [size =\"46067712\"]\n  5 -> 23 [size =\"46067712\"]\n  5 -> 28 [size =\"46067712\"]\n  6 [size=\"137297920\", alpha=\"0.01\", expect_size=\"41189376\"] \n  6 -> 10 [size =\"41189376\"]\n  6 -> 14 [size =\"41189376\"]\n  6 -> 17 [size =\"41189376\"]\n  6 -> 19 [size =\"41189376\"]\n  6 -> 21 [size =\"41189376\"]\n  6 -> 23 [size =\"41189376\"]\n  6 -> 24 [size =\"41189376\"]\n  7 [size=\"156525227\", alpha=\"0.18\", expect_size=\"46957568\"] \n  7 -> 12 [size =\"46957568\"]\n  7 -> 13 [size =\"46957568\"]\n  7 -> 26 [size =\"46957568\"]\n  7 -> 28 [size =\"46957568\"]\n  8 [size=\"101345280\", alpha=\"0.08\", expect_size=\"30403584\"] \n  8 -> 10 [size =\"30403584\"]\n  8 -> 14 [size =\"30403584\"]\n  8 -> 15 [size =\"30403584\"]\n  8 -> 19 [size =\"30403584\"]\n  8 -> 21 [size =\"30403584\"]\n  8 -> 22 [size =\"30403584\"]\n  8 -> 26 [size =\"30403584\"]\n  9 [size=\"54811307\", alpha=\"0.17\", expect_size=\"16443392\"] \n  9 -> 16 [size =\"16443392\"]\n  9 -> 21 [size =\"16443392\"]\n  9 -> 23 [size =\"16443392\"]\n  10 [size=\"78161920\", alpha=\"0.05\", expect_size=\"23448576\"] \n  10 -> 34 [size =\"23448576\"]\n  10 -> 36 [size =\"23448576\"]\n  10 -> 37 [size =\"23448576\"]\n  10 -> 39 [size =\"23448576\"]\n  10 -> 41 [size =\"23448576\"]\n  11 [size=\"19449173\", alpha=\"0.13\", expect_size=\"5834752\"] \n  11 -> 37 [size =\"5834752\"]\n  11 -> 40 [size =\"5834752\"]\n  12 [size=\"163467947\", alpha=\"0.01\", expect_size=\"49040384\"] \n  12 -> 36 [size =\"49040384\"]\n  12 -> 38 [size =\"49040384\"]\n  12 -> 39 [size =\"49040384\"]\n  12 -> 40 [size =\"49040384\"]\n  12 -> 41 [size =\"49040384\"]\n  13 [size=\"168140800\", alpha=\"0.08\", expect_size=\"50442240\"] \n  13 -> 36 [size =\"50442240\"]\n  13 -> 37 [size =\"50442240\"]\n  13 -> 39 [size =\"50442240\"]\n  13 -> 40 [size =\"50442240\"]\n  13 -> 41 [size =\"50442240\"]\n  14 [size=\"127197867\", alpha=\"0.15\", expect_size=\"38159360\"] \n  14 -> 32 [size =\"38159360\"]\n  14 -> 36 [size =\"38159360\"]\n  14 -> 38 [size =\"38159360\"]\n  14 -> 39 [size =\"38159360\"]\n  14 -> 40 [size =\"38159360\"]\n  15 [size=\"92962133\", alpha=\"0.02\", expect_size=\"27888640\"] \n  15 -> 30 [size =\"27888640\"]\n  15 -> 39 [size =\"27888640\"]\n  15 -> 40 [size =\"27888640\"]\n  16 [size=\"79616000\", alpha=\"0.16\", expect_size=\"23884800\"] \n  16 -> 40 [size =\"23884800\"]\n  17 [size=\"86231040\", alpha=\"0.09\", expect_size=\"25869312\"] \n  17 -> 31 [size =\"25869312\"]\n  17 -> 34 [size =\"25869312\"]\n  17 -> 35 [size =\"25869312\"]\n  17 -> 37 [size =\"25869312\"]\n  17 -> 38 [size =\"25869312\"]\n  17 -> 40 [size =\"25869312\"]\n  18 [size=\"67225600\", alpha=\"0.08\", expect_size=\"20167680\"] \n  18 -> 32 [size =\"20167680\"]\n  18 -> 35 [size =\"20167680\"]\n  18 -> 37 [size =\"20167680\"]\n  19 [size=\"126515200\", alpha=\"0.11\", expect_size=\"37954560\"] \n  19 -> 29 [size =\"37954560\"]\n  19 -> 32 [size =\"37954560\"]\n  19 -> 37 [size =\"37954560\"]\n  19 -> 38 [size =\"37954560\"]\n  20 [size=\"99795627\", alpha=\"0.09\", expect_size=\"29938688\"] \n  20 -> 32 [size =\"29938688\"]\n  20 -> 33 [size =\"29938688\"]\n  20 -> 37 [size =\"29938688\"]\n  20 -> 38 [size =\"29938688\"]\n  21 [size=\"138987520\", alpha=\"0.20\", expect_size=\"41696256\"] \n  21 -> 35 [size =\"41696256\"]\n  21 -> 38 [size =\"41696256\"]\n  22 [size=\"84858880\", alpha=\"0.17\", expect_size=\"25457664\"] \n  22 -> 32 [size =\"25457664\"]\n  22 -> 37 [size =\"25457664\"]\n  23 [size=\"89419093\", alpha=\"0.10\", expect_size=\"26825728\"] \n  23 -> 32 [size =\"26825728\"]\n  23 -> 34 [size =\"26825728\"]\n  23 -> 41 [size =\"26825728\"]\n  24 [size=\"148439040\", alpha=\"0.17\", expect_size=\"44531712\"] \n  24 -> 30 [size =\"44531712\"]\n  24 -> 32 [size =\"44531712\"]\n  24 -> 34 [size =\"44531712\"]\n  24 -> 35 [size =\"44531712\"]\n  24 -> 38 [size =\"44531712\"]\n  24 -> 40 [size =\"44531712\"]\n  24 -> 41 [size =\"44531712\"]\n  25 [size=\"107178667\", alpha=\"0.01\", expect_size=\"32153600\"] \n  25 -> 34 [size =\"32153600\"]\n  25 -> 35 [size =\"32153600\"]\n  25 -> 39 [size =\"32153600\"]\n  26 [size=\"123125760\", alpha=\"0.20\", expect_size=\"36937728\"] \n  26 -> 34 [size =\"36937728\"]\n  26 -> 40 [size =\"36937728\"]\n  27 [size=\"92869973\", alpha=\"0.17\", expect_size=\"27860992\"] \n  27 -> 32 [size =\"27860992\"]\n  27 -> 34 [size =\"27860992\"]\n  27 -> 37 [size =\"27860992\"]\n  27 -> 38 [size =\"27860992\"]\n  27 -> 41 [size =\"27860992\"]\n  28 [size=\"165218987\", alpha=\"0.04\", expect_size=\"49565696\"] \n  28 -> 30 [size =\"49565696\"]\n  28 -> 34 [size =\"49565696\"]\n  28 -> 37 [size =\"49565696\"]\n  29 [size=\"69379413\", alpha=\"0.17\", expect_size=\"20813824\"] \n  29 -> 42 [size =\"20813824\"]\n  29 -> 43 [size =\"20813824\"]\n  29 -> 45 [size =\"20813824\"]\n  29 -> 46 [size =\"20813824\"]\n  30 [size=\"153995947\", alpha=\"0.17\", expect_size=\"46198784\"] \n  30 -> 43 [size =\"46198784\"]\n  30 -> 45 [size =\"46198784\"]\n  30 -> 45 [size =\"46198784\"]\n  30 -> 46 [size =\"46198784\"]\n  30 -> 48 [size =\"46198784\"]\n  31 [size=\"71205547\", alpha=\"0.17\", expect_size=\"21361664\"] \n  31 -> 46 [size =\"21361664\"]\n  31 -> 47 [size =\"21361664\"]\n  32 [size=\"67976533\", alpha=\"0.16\", expect_size=\"20392960\"] \n  32 -> 43 [size =\"20392960\"]\n  32 -> 44 [size =\"20392960\"]\n  33 [size=\"43847680\", alpha=\"0.14\", expect_size=\"13154304\"] \n  33 -> 47 [size =\"13154304\"]\n  33 -> 48 [size =\"13154304\"]\n  33 -> 49 [size =\"13154304\"]\n  34 [size=\"121661440\", alpha=\"0.06\", expect_size=\"36498432\"] \n  34 -> 44 [size =\"36498432\"]\n  34 -> 46 [size =\"36498432\"]\n  34 -> 47 [size =\"36498432\"]\n  34 -> 50 [size =\"36498432\"]\n  35 [size=\"95071573\", alpha=\"0.08\", expect_size=\"28521472\"] \n  35 -> 42 [size =\"28521472\"]\n  35 -> 43 [size =\"28521472\"]\n  35 -> 44 [size =\"28521472\"]\n  35 -> 46 [size =\"28521472\"]\n  36 [size=\"100154027\", alpha=\"0.17\", expect_size=\"30046208\"] \n  36 -> 44 [size =\"30046208\"]\n  36 -> 45 [size =\"30046208\"]\n  36 -> 49 [size =\"30046208\"]\n  37 [size=\"99457707\", alpha=\"0.16\", expect_size=\"29837312\"] \n  37 -> 42 [size =\"29837312\"]\n  37 -> 44 [size =\"29837312\"]\n  37 -> 48 [size =\"29837312\"]\n  38 [size=\"74734933\", alpha=\"0.00\", expect_size=\"22420480\"] \n  38 -> 42 [size =\"22420480\"]\n  38 -> 43 [size =\"22420480\"]\n  38 -> 47 [size =\"22420480\"]\n  39 [size=\"109864960\", alpha=\"0.19\", expect_size=\"32959488\"] \n  39 -> 43 [size =\"32959488\"]\n  39 -> 47 [size =\"32959488\"]\n  40 [size=\"84889600\", alpha=\"0.07\", expect_size=\"25466880\"] \n  40 -> 42 [size =\"25466880\"]\n  40 -> 44 [size =\"25466880\"]\n  40 -> 45 [size =\"25466880\"]\n  40 -> 48 [size =\"25466880\"]\n  40 -> 49 [size =\"25466880\"]\n  41 [size=\"60504747\", alpha=\"0.12\", expect_size=\"18151424\"] \n  41 -> 45 [size =\"18151424\"]\n  42 [size=\"38683307\", alpha=\"0.05\", expect_size=\"11604992\"] \n  43 [size=\"165420373\", alpha=\"0.07\", expect_size=\"49626112\"] \n  44 [size=\"119517867\", alpha=\"0.05\", expect_size=\"35855360\"] \n  45 [size=\"167994027\", alpha=\"0.16\", expect_size=\"50398208\"] \n  46 [size=\"71758507\", alpha=\"0.19\", expect_size=\"21527552\"] \n  47 [size=\"50237440\", alpha=\"0.12\", expect_size=\"15071232\"] \n  48 [size=\"172192427\", alpha=\"0.04\", expect_size=\"51657728\"] \n  49 [size=\"172793173\", alpha=\"0.03\", expect_size=\"51837952\"] \n  50 [size=\"161088853\", alpha=\"0.19\", expect_size=\"48326656\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.80.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"38602240\", alpha=\"0.14\", expect_size=\"15440896\"] \n  1 -> 19 [size =\"15440896\"]\n  1 -> 27 [size =\"15440896\"]\n  1 -> 31 [size =\"15440896\"]\n  1 -> 33 [size =\"15440896\"]\n  1 -> 34 [size =\"15440896\"]\n  2 [size=\"118735360\", alpha=\"0.17\", expect_size=\"47494144\"] \n  2 -> 21 [size =\"47494144\"]\n  2 -> 31 [size =\"47494144\"]\n  2 -> 31 [size =\"47494144\"]\n  2 -> 33 [size =\"47494144\"]\n  2 -> 34 [size =\"47494144\"]\n  2 -> 36 [size =\"47494144\"]\n  3 [size=\"38384640\", alpha=\"0.13\", expect_size=\"15353856\"] \n  3 -> 21 [size =\"15353856\"]\n  3 -> 29 [size =\"15353856\"]\n  3 -> 30 [size =\"15353856\"]\n  3 -> 31 [size =\"15353856\"]\n  3 -> 34 [size =\"15353856\"]\n  4 [size=\"74362880\", alpha=\"0.13\", expect_size=\"29745152\"] \n  4 -> 21 [size =\"29745152\"]\n  4 -> 28 [size =\"29745152\"]\n  4 -> 30 [size =\"29745152\"]\n  4 -> 31 [size =\"29745152\"]\n  4 -> 33 [size =\"29745152\"]\n  4 -> 35 [size =\"29745152\"]\n  5 [size=\"126376960\", alpha=\"0.08\", expect_size=\"50550784\"] \n  5 -> 24 [size =\"50550784\"]\n  5 -> 31 [size =\"50550784\"]\n  5 -> 33 [size =\"50550784\"]\n  6 [size=\"40709120\", alpha=\"0.02\", expect_size=\"16283648\"] \n  6 -> 22 [size =\"16283648\"]\n  6 -> 23 [size =\"16283648\"]\n  6 -> 34 [size =\"16283648\"]\n  6 -> 36 [size =\"16283648\"]\n  7 [size=\"54481920\", alpha=\"0.02\", expect_size=\"21792768\"] \n  7 -> 23 [size =\"21792768\"]\n  7 -> 25 [size =\"21792768\"]\n  7 -> 28 [size =\"21792768\"]\n  7 -> 31 [size =\"21792768\"]\n  7 -> 32 [size =\"21792768\"]\n  7 -> 35 [size =\"21792768\"]\n  8 [size=\"65459200\", alpha=\"0.02\", expect_size=\"26183680\"] \n  8 -> 19 [size =\"26183680\"]\n  8 -> 20 [size =\"26183680\"]\n  8 -> 23 [size =\"26183680\"]\n  8 -> 30 [size =\"26183680\"]\n  8 -> 32 [size =\"26183680\"]\n  8 -> 36 [size =\"26183680\"]\n  9 [size=\"76057600\", alpha=\"0.16\", expect_size=\"30423040\"] \n  9 -> 21 [size =\"30423040\"]\n  9 -> 22 [size =\"30423040\"]\n  9 -> 26 [size =\"30423040\"]\n  9 -> 28 [size =\"30423040\"]\n  9 -> 29 [size =\"30423040\"]\n  9 -> 34 [size =\"30423040\"]\n  9 -> 35 [size =\"30423040\"]\n  10 [size=\"18073600\", alpha=\"0.12\", expect_size=\"7229440\"] \n  10 -> 22 [size =\"7229440\"]\n  10 -> 23 [size =\"7229440\"]\n  10 -> 25 [size =\"7229440\"]\n  10 -> 28 [size =\"7229440\"]\n  10 -> 30 [size =\"7229440\"]\n  11 [size=\"17530880\", alpha=\"0.13\", expect_size=\"7012352\"] \n  11 -> 19 [size =\"7012352\"]\n  11 -> 20 [size =\"7012352\"]\n  11 -> 22 [size =\"7012352\"]\n  11 -> 28 [size =\"7012352\"]\n  11 -> 30 [size =\"7012352\"]\n  11 -> 32 [size =\"7012352\"]\n  11 -> 33 [size =\"7012352\"]\n  12 [size=\"100052480\", alpha=\"0.20\", expect_size=\"40020992\"] \n  12 -> 19 [size =\"40020992\"]\n  12 -> 22 [size =\"40020992\"]\n  12 -> 23 [size =\"40020992\"]\n  12 -> 27 [size =\"40020992\"]\n  12 -> 28 [size =\"40020992\"]\n  12 -> 31 [size =\"40020992\"]\n  13 [size=\"83251200\", alpha=\"0.02\", expect_size=\"33300480\"] \n  13 -> 19 [size =\"33300480\"]\n  13 -> 28 [size =\"33300480\"]\n  13 -> 33 [size =\"33300480\"]\n  13 -> 34 [size =\"33300480\"]\n  14 [size=\"42270720\", alpha=\"0.05\", expect_size=\"16908288\"] \n  14 -> 19 [size =\"16908288\"]\n  14 -> 20 [size =\"16908288\"]\n  14 -> 21 [size =\"16908288\"]\n  14 -> 22 [size =\"16908288\"]\n  14 -> 25 [size =\"16908288\"]\n  14 -> 30 [size =\"16908288\"]\n  14 -> 33 [size =\"16908288\"]\n  14 -> 35 [size =\"16908288\"]\n  14 -> 36 [size =\"16908288\"]\n  15 [size=\"118484480\", alpha=\"0.05\", expect_size=\"47393792\"] \n  15 -> 19 [size =\"47393792\"]\n  15 -> 20 [size =\"47393792\"]\n  15 -> 21 [size =\"47393792\"]\n  15 -> 25 [size =\"47393792\"]\n  15 -> 28 [size =\"47393792\"]\n  15 -> 29 [size =\"47393792\"]\n  15 -> 30 [size =\"47393792\"]\n  15 -> 33 [size =\"47393792\"]\n  15 -> 35 [size =\"47393792\"]\n  15 -> 36 [size =\"47393792\"]\n  16 [size=\"48865280\", alpha=\"0.06\", expect_size=\"19546112\"] \n  16 -> 19 [size =\"19546112\"]\n  16 -> 20 [size =\"19546112\"]\n  16 -> 22 [size =\"19546112\"]\n  16 -> 30 [size =\"19546112\"]\n  16 -> 33 [size =\"19546112\"]\n  16 -> 34 [size =\"19546112\"]\n  16 -> 35 [size =\"19546112\"]\n  17 [size=\"62612480\", alpha=\"0.18\", expect_size=\"25044992\"] \n  17 -> 19 [size =\"25044992\"]\n  17 -> 20 [size =\"25044992\"]\n  17 -> 22 [size =\"25044992\"]\n  17 -> 28 [size =\"25044992\"]\n  17 -> 33 [size =\"25044992\"]\n  17 -> 34 [size =\"25044992\"]\n  17 -> 36 [size =\"25044992\"]\n  18 [size=\"72291840\", alpha=\"0.19\", expect_size=\"28916736\"] \n  18 -> 19 [size =\"28916736\"]\n  18 -> 20 [size =\"28916736\"]\n  18 -> 26 [size =\"28916736\"]\n  18 -> 27 [size =\"28916736\"]\n  18 -> 28 [size =\"28916736\"]\n  18 -> 30 [size =\"28916736\"]\n  18 -> 34 [size =\"28916736\"]\n  19 [size=\"86763520\", alpha=\"0.10\", expect_size=\"34705408\"] \n  19 -> 42 [size =\"34705408\"]\n  19 -> 43 [size =\"34705408\"]\n  19 -> 46 [size =\"34705408\"]\n  19 -> 47 [size =\"34705408\"]\n  20 [size=\"65776640\", alpha=\"0.16\", expect_size=\"26310656\"] \n  20 -> 37 [size =\"26310656\"]\n  20 -> 39 [size =\"26310656\"]\n  20 -> 41 [size =\"26310656\"]\n  20 -> 42 [size =\"26310656\"]\n  20 -> 43 [size =\"26310656\"]\n  20 -> 46 [size =\"26310656\"]\n  20 -> 50 [size =\"26310656\"]\n  21 [size=\"17192960\", alpha=\"0.06\", expect_size=\"6877184\"] \n  21 -> 37 [size =\"6877184\"]\n  21 -> 38 [size =\"6877184\"]\n  21 -> 39 [size =\"6877184\"]\n  21 -> 42 [size =\"6877184\"]\n  21 -> 44 [size =\"6877184\"]\n  21 -> 45 [size =\"6877184\"]\n  21 -> 46 [size =\"6877184\"]\n  21 -> 48 [size =\"6877184\"]\n  22 [size=\"94120960\", alpha=\"0.15\", expect_size=\"37648384\"] \n  22 -> 38 [size =\"37648384\"]\n  22 -> 39 [size =\"37648384\"]\n  22 -> 42 [size =\"37648384\"]\n  22 -> 46 [size =\"37648384\"]\n  22 -> 47 [size =\"37648384\"]\n  23 [size=\"92856320\", alpha=\"0.07\", expect_size=\"37142528\"] \n  23 -> 37 [size =\"37142528\"]\n  23 -> 39 [size =\"37142528\"]\n  23 -> 41 [size =\"37142528\"]\n  23 -> 42 [size =\"37142528\"]\n  23 -> 44 [size =\"37142528\"]\n  23 -> 50 [size =\"37142528\"]\n  24 [size=\"107568640\", alpha=\"0.10\", expect_size=\"43027456\"] \n  24 -> 39 [size =\"43027456\"]\n  24 -> 41 [size =\"43027456\"]\n  24 -> 44 [size =\"43027456\"]\n  25 [size=\"20067840\", alpha=\"0.12\", expect_size=\"8027136\"] \n  25 -> 37 [size =\"8027136\"]\n  25 -> 42 [size =\"8027136\"]\n  25 -> 45 [size =\"8027136\"]\n  25 -> 46 [size =\"8027136\"]\n  26 [size=\"51281920\", alpha=\"0.19\", expect_size=\"20512768\"] \n  26 -> 37 [size =\"20512768\"]\n  26 -> 45 [size =\"20512768\"]\n  26 -> 46 [size =\"20512768\"]\n  26 -> 46 [size =\"20512768\"]\n  26 -> 50 [size =\"20512768\"]\n  27 [size=\"89213440\", alpha=\"0.13\", expect_size=\"35685376\"] \n  27 -> 38 [size =\"35685376\"]\n  27 -> 40 [size =\"35685376\"]\n  27 -> 41 [size =\"35685376\"]\n  27 -> 42 [size =\"35685376\"]\n  27 -> 44 [size =\"35685376\"]\n  27 -> 45 [size =\"35685376\"]\n  27 -> 49 [size =\"35685376\"]\n  27 -> 50 [size =\"35685376\"]\n  28 [size=\"77596160\", alpha=\"0.16\", expect_size=\"31038464\"] \n  28 -> 37 [size =\"31038464\"]\n  28 -> 38 [size =\"31038464\"]\n  28 -> 41 [size =\"31038464\"]\n  28 -> 42 [size =\"31038464\"]\n  28 -> 49 [size =\"31038464\"]\n  28 -> 50 [size =\"31038464\"]\n  29 [size=\"71188480\", alpha=\"0.09\", expect_size=\"28475392\"] \n  29 -> 39 [size =\"28475392\"]\n  29 -> 42 [size =\"28475392\"]\n  29 -> 45 [size =\"28475392\"]\n  29 -> 46 [size =\"28475392\"]\n  29 -> 50 [size =\"28475392\"]\n  30 [size=\"129840640\", alpha=\"0.03\", expect_size=\"51936256\"] \n  30 -> 38 [size =\"51936256\"]\n  30 -> 39 [size =\"51936256\"]\n  30 -> 40 [size =\"51936256\"]\n  30 -> 42 [size =\"51936256\"]\n  30 -> 43 [size =\"51936256\"]\n  30 -> 45 [size =\"51936256\"]\n  30 -> 48 [size =\"51936256\"]\n  30 -> 50 [size =\"51936256\"]\n  31 [size=\"106086400\", alpha=\"0.18\", expect_size=\"42434560\"] \n  31 -> 39 [size =\"42434560\"]\n  31 -> 41 [size =\"42434560\"]\n  31 -> 44 [size =\"42434560\"]\n  31 -> 46 [size =\"42434560\"]\n  31 -> 50 [size =\"42434560\"]\n  32 [size=\"25423360\", alpha=\"0.08\", expect_size=\"10169344\"] \n  32 -> 37 [size =\"10169344\"]\n  32 -> 44 [size =\"10169344\"]\n  32 -> 46 [size =\"10169344\"]\n  32 -> 50 [size =\"10169344\"]\n  33 [size=\"111444480\", alpha=\"0.09\", expect_size=\"44577792\"] \n  33 -> 37 [size =\"44577792\"]\n  33 -> 38 [size =\"44577792\"]\n  33 -> 39 [size =\"44577792\"]\n  33 -> 43 [size =\"44577792\"]\n  33 -> 44 [size =\"44577792\"]\n  33 -> 45 [size =\"44577792\"]\n  33 -> 46 [size =\"44577792\"]\n  33 -> 50 [size =\"44577792\"]\n  34 [size=\"35535360\", alpha=\"0.16\", expect_size=\"14214144\"] \n  34 -> 37 [size =\"14214144\"]\n  34 -> 40 [size =\"14214144\"]\n  34 -> 41 [size =\"14214144\"]\n  34 -> 42 [size =\"14214144\"]\n  34 -> 45 [size =\"14214144\"]\n  34 -> 50 [size =\"14214144\"]\n  35 [size=\"94881280\", alpha=\"0.00\", expect_size=\"37952512\"] \n  35 -> 38 [size =\"37952512\"]\n  35 -> 40 [size =\"37952512\"]\n  36 [size=\"48855040\", alpha=\"0.11\", expect_size=\"19542016\"] \n  36 -> 37 [size =\"19542016\"]\n  36 -> 39 [size =\"19542016\"]\n  37 [size=\"43033600\", alpha=\"0.10\", expect_size=\"17213440\"] \n  38 [size=\"118784000\", alpha=\"0.19\", expect_size=\"47513600\"] \n  39 [size=\"92536320\", alpha=\"0.00\", expect_size=\"37014528\"] \n  40 [size=\"27238400\", alpha=\"0.10\", expect_size=\"10895360\"] \n  41 [size=\"45821440\", alpha=\"0.01\", expect_size=\"18328576\"] \n  42 [size=\"34752000\", alpha=\"0.06\", expect_size=\"13900800\"] \n  43 [size=\"80970240\", alpha=\"0.04\", expect_size=\"32388096\"] \n  44 [size=\"18695680\", alpha=\"0.19\", expect_size=\"7478272\"] \n  45 [size=\"113018880\", alpha=\"0.14\", expect_size=\"45207552\"] \n  46 [size=\"115427840\", alpha=\"0.16\", expect_size=\"46171136\"] \n  47 [size=\"61675520\", alpha=\"0.11\", expect_size=\"24670208\"] \n  48 [size=\"119242240\", alpha=\"0.17\", expect_size=\"47696896\"] \n  49 [size=\"111377920\", alpha=\"0.12\", expect_size=\"44551168\"] \n  50 [size=\"111741440\", alpha=\"0.08\", expect_size=\"44696576\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.81.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"84062720\", alpha=\"0.09\", expect_size=\"33625088\"] \n  1 -> 35 [size =\"33625088\"]\n  1 -> 42 [size =\"33625088\"]\n  2 [size=\"29872640\", alpha=\"0.19\", expect_size=\"11949056\"] \n  2 -> 34 [size =\"11949056\"]\n  2 -> 41 [size =\"11949056\"]\n  2 -> 42 [size =\"11949056\"]\n  2 -> 43 [size =\"11949056\"]\n  2 -> 44 [size =\"11949056\"]\n  3 [size=\"127490560\", alpha=\"0.13\", expect_size=\"50996224\"] \n  3 -> 34 [size =\"50996224\"]\n  3 -> 40 [size =\"50996224\"]\n  3 -> 41 [size =\"50996224\"]\n  3 -> 42 [size =\"50996224\"]\n  3 -> 43 [size =\"50996224\"]\n  3 -> 44 [size =\"50996224\"]\n  3 -> 46 [size =\"50996224\"]\n  4 [size=\"69460480\", alpha=\"0.05\", expect_size=\"27784192\"] \n  4 -> 35 [size =\"27784192\"]\n  4 -> 42 [size =\"27784192\"]\n  4 -> 43 [size =\"27784192\"]\n  4 -> 46 [size =\"27784192\"]\n  4 -> 49 [size =\"27784192\"]\n  5 [size=\"28546560\", alpha=\"0.07\", expect_size=\"11418624\"] \n  5 -> 34 [size =\"11418624\"]\n  5 -> 38 [size =\"11418624\"]\n  5 -> 42 [size =\"11418624\"]\n  5 -> 46 [size =\"11418624\"]\n  6 [size=\"124029440\", alpha=\"0.18\", expect_size=\"49611776\"] \n  6 -> 37 [size =\"49611776\"]\n  6 -> 40 [size =\"49611776\"]\n  6 -> 44 [size =\"49611776\"]\n  6 -> 46 [size =\"49611776\"]\n  6 -> 48 [size =\"49611776\"]\n  7 [size=\"44208640\", alpha=\"0.10\", expect_size=\"17683456\"] \n  7 -> 36 [size =\"17683456\"]\n  7 -> 40 [size =\"17683456\"]\n  7 -> 44 [size =\"17683456\"]\n  8 [size=\"51712000\", alpha=\"0.00\", expect_size=\"20684800\"] \n  8 -> 40 [size =\"20684800\"]\n  8 -> 46 [size =\"20684800\"]\n  9 [size=\"18521600\", alpha=\"0.05\", expect_size=\"7408640\"] \n  9 -> 41 [size =\"7408640\"]\n  9 -> 42 [size =\"7408640\"]\n  10 [size=\"125690880\", alpha=\"0.14\", expect_size=\"50276352\"] \n  10 -> 37 [size =\"50276352\"]\n  10 -> 38 [size =\"50276352\"]\n  10 -> 40 [size =\"50276352\"]\n  10 -> 41 [size =\"50276352\"]\n  10 -> 44 [size =\"50276352\"]\n  11 [size=\"77719040\", alpha=\"0.01\", expect_size=\"31087616\"] \n  11 -> 34 [size =\"31087616\"]\n  11 -> 41 [size =\"31087616\"]\n  11 -> 42 [size =\"31087616\"]\n  11 -> 44 [size =\"31087616\"]\n  11 -> 46 [size =\"31087616\"]\n  11 -> 47 [size =\"31087616\"]\n  12 [size=\"128857600\", alpha=\"0.14\", expect_size=\"51543040\"] \n  12 -> 33 [size =\"51543040\"]\n  12 -> 34 [size =\"51543040\"]\n  12 -> 40 [size =\"51543040\"]\n  12 -> 41 [size =\"51543040\"]\n  12 -> 44 [size =\"51543040\"]\n  12 -> 46 [size =\"51543040\"]\n  12 -> 47 [size =\"51543040\"]\n  13 [size=\"120483840\", alpha=\"0.12\", expect_size=\"48193536\"] \n  13 -> 33 [size =\"48193536\"]\n  13 -> 37 [size =\"48193536\"]\n  13 -> 40 [size =\"48193536\"]\n  13 -> 41 [size =\"48193536\"]\n  13 -> 45 [size =\"48193536\"]\n  13 -> 47 [size =\"48193536\"]\n  13 -> 48 [size =\"48193536\"]\n  14 [size=\"79982080\", alpha=\"0.08\", expect_size=\"31992832\"] \n  14 -> 36 [size =\"31992832\"]\n  14 -> 37 [size =\"31992832\"]\n  14 -> 39 [size =\"31992832\"]\n  14 -> 41 [size =\"31992832\"]\n  14 -> 44 [size =\"31992832\"]\n  14 -> 45 [size =\"31992832\"]\n  15 [size=\"108285440\", alpha=\"0.06\", expect_size=\"43314176\"] \n  15 -> 41 [size =\"43314176\"]\n  15 -> 45 [size =\"43314176\"]\n  16 [size=\"34332160\", alpha=\"0.18\", expect_size=\"13732864\"] \n  16 -> 35 [size =\"13732864\"]\n  16 -> 42 [size =\"13732864\"]\n  16 -> 44 [size =\"13732864\"]\n  16 -> 49 [size =\"13732864\"]\n  17 [size=\"20766720\", alpha=\"0.17\", expect_size=\"8306688\"] \n  17 -> 33 [size =\"8306688\"]\n  17 -> 34 [size =\"8306688\"]\n  17 -> 35 [size =\"8306688\"]\n  17 -> 42 [size =\"8306688\"]\n  17 -> 43 [size =\"8306688\"]\n  17 -> 48 [size =\"8306688\"]\n  18 [size=\"78681600\", alpha=\"0.16\", expect_size=\"31472640\"] \n  18 -> 40 [size =\"31472640\"]\n  18 -> 46 [size =\"31472640\"]\n  19 [size=\"79779840\", alpha=\"0.04\", expect_size=\"31911936\"] \n  19 -> 34 [size =\"31911936\"]\n  19 -> 44 [size =\"31911936\"]\n  20 [size=\"108615680\", alpha=\"0.20\", expect_size=\"43446272\"] \n  20 -> 35 [size =\"43446272\"]\n  20 -> 42 [size =\"43446272\"]\n  20 -> 43 [size =\"43446272\"]\n  21 [size=\"74721280\", alpha=\"0.07\", expect_size=\"29888512\"] \n  21 -> 34 [size =\"29888512\"]\n  21 -> 35 [size =\"29888512\"]\n  21 -> 42 [size =\"29888512\"]\n  21 -> 46 [size =\"29888512\"]\n  21 -> 49 [size =\"29888512\"]\n  22 [size=\"83072000\", alpha=\"0.18\", expect_size=\"33228800\"] \n  22 -> 33 [size =\"33228800\"]\n  22 -> 34 [size =\"33228800\"]\n  22 -> 40 [size =\"33228800\"]\n  22 -> 46 [size =\"33228800\"]\n  22 -> 49 [size =\"33228800\"]\n  23 [size=\"46543360\", alpha=\"0.08\", expect_size=\"18617344\"] \n  23 -> 34 [size =\"18617344\"]\n  23 -> 35 [size =\"18617344\"]\n  23 -> 38 [size =\"18617344\"]\n  23 -> 42 [size =\"18617344\"]\n  23 -> 43 [size =\"18617344\"]\n  23 -> 46 [size =\"18617344\"]\n  23 -> 50 [size =\"18617344\"]\n  24 [size=\"114529280\", alpha=\"0.07\", expect_size=\"45811712\"] \n  24 -> 33 [size =\"45811712\"]\n  24 -> 37 [size =\"45811712\"]\n  24 -> 41 [size =\"45811712\"]\n  24 -> 44 [size =\"45811712\"]\n  25 [size=\"43865600\", alpha=\"0.09\", expect_size=\"17546240\"] \n  25 -> 34 [size =\"17546240\"]\n  25 -> 37 [size =\"17546240\"]\n  25 -> 41 [size =\"17546240\"]\n  25 -> 43 [size =\"17546240\"]\n  25 -> 48 [size =\"17546240\"]\n  25 -> 50 [size =\"17546240\"]\n  26 [size=\"77319680\", alpha=\"0.10\", expect_size=\"30927872\"] \n  26 -> 34 [size =\"30927872\"]\n  26 -> 37 [size =\"30927872\"]\n  26 -> 41 [size =\"30927872\"]\n  26 -> 46 [size =\"30927872\"]\n  27 [size=\"66434560\", alpha=\"0.16\", expect_size=\"26573824\"] \n  27 -> 37 [size =\"26573824\"]\n  27 -> 41 [size =\"26573824\"]\n  27 -> 42 [size =\"26573824\"]\n  28 [size=\"51238400\", alpha=\"0.09\", expect_size=\"20495360\"] \n  28 -> 34 [size =\"20495360\"]\n  28 -> 42 [size =\"20495360\"]\n  29 [size=\"25175040\", alpha=\"0.03\", expect_size=\"10070016\"] \n  29 -> 33 [size =\"10070016\"]\n  29 -> 35 [size =\"10070016\"]\n  29 -> 41 [size =\"10070016\"]\n  29 -> 42 [size =\"10070016\"]\n  29 -> 44 [size =\"10070016\"]\n  29 -> 50 [size =\"10070016\"]\n  30 [size=\"49863680\", alpha=\"0.15\", expect_size=\"19945472\"] \n  30 -> 33 [size =\"19945472\"]\n  30 -> 34 [size =\"19945472\"]\n  30 -> 40 [size =\"19945472\"]\n  30 -> 41 [size =\"19945472\"]\n  30 -> 42 [size =\"19945472\"]\n  30 -> 47 [size =\"19945472\"]\n  31 [size=\"48657920\", alpha=\"0.19\", expect_size=\"19463168\"] \n  31 -> 33 [size =\"19463168\"]\n  31 -> 44 [size =\"19463168\"]\n  31 -> 46 [size =\"19463168\"]\n  32 [size=\"92515840\", alpha=\"0.02\", expect_size=\"37006336\"] \n  32 -> 33 [size =\"37006336\"]\n  32 -> 43 [size =\"37006336\"]\n  32 -> 44 [size =\"37006336\"]\n  32 -> 46 [size =\"37006336\"]\n  33 [size=\"80235520\", alpha=\"0.04\", expect_size=\"32094208\"] \n  34 [size=\"126202880\", alpha=\"0.16\", expect_size=\"50481152\"] \n  35 [size=\"50841600\", alpha=\"0.05\", expect_size=\"20336640\"] \n  36 [size=\"105520640\", alpha=\"0.18\", expect_size=\"42208256\"] \n  37 [size=\"47267840\", alpha=\"0.12\", expect_size=\"18907136\"] \n  38 [size=\"25154560\", alpha=\"0.17\", expect_size=\"10061824\"] \n  39 [size=\"77785600\", alpha=\"0.13\", expect_size=\"31114240\"] \n  40 [size=\"92608000\", alpha=\"0.05\", expect_size=\"37043200\"] \n  41 [size=\"64243200\", alpha=\"0.08\", expect_size=\"25697280\"] \n  42 [size=\"57303040\", alpha=\"0.03\", expect_size=\"22921216\"] \n  43 [size=\"69575680\", alpha=\"0.03\", expect_size=\"27830272\"] \n  44 [size=\"90475520\", alpha=\"0.01\", expect_size=\"36190208\"] \n  45 [size=\"68910080\", alpha=\"0.04\", expect_size=\"27564032\"] \n  46 [size=\"100062720\", alpha=\"0.18\", expect_size=\"40025088\"] \n  47 [size=\"87191040\", alpha=\"0.00\", expect_size=\"34876416\"] \n  48 [size=\"37957120\", alpha=\"0.10\", expect_size=\"15182848\"] \n  49 [size=\"17937920\", alpha=\"0.01\", expect_size=\"7175168\"] \n  50 [size=\"93803520\", alpha=\"0.18\", expect_size=\"37521408\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.82.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"17885184\", alpha=\"0.03\", expect_size=\"8942592\"] \n  1 -> 8 [size =\"8942592\"]\n  1 -> 13 [size =\"8942592\"]\n  1 -> 14 [size =\"8942592\"]\n  2 [size=\"38703104\", alpha=\"0.17\", expect_size=\"19351552\"] \n  3 [size=\"68173824\", alpha=\"0.05\", expect_size=\"34086912\"] \n  3 -> 8 [size =\"34086912\"]\n  3 -> 10 [size =\"34086912\"]\n  3 -> 12 [size =\"34086912\"]\n  4 [size=\"54433792\", alpha=\"0.04\", expect_size=\"27216896\"] \n  4 -> 8 [size =\"27216896\"]\n  5 [size=\"48695296\", alpha=\"0.08\", expect_size=\"24347648\"] \n  5 -> 11 [size =\"24347648\"]\n  5 -> 13 [size =\"24347648\"]\n  5 -> 15 [size =\"24347648\"]\n  6 [size=\"63860736\", alpha=\"0.19\", expect_size=\"31930368\"] \n  6 -> 8 [size =\"31930368\"]\n  6 -> 15 [size =\"31930368\"]\n  7 [size=\"101181440\", alpha=\"0.19\", expect_size=\"50590720\"] \n  7 -> 8 [size =\"50590720\"]\n  7 -> 9 [size =\"50590720\"]\n  7 -> 15 [size =\"50590720\"]\n  8 [size=\"17766400\", alpha=\"0.12\", expect_size=\"8883200\"] \n  8 -> 16 [size =\"8883200\"]\n  8 -> 17 [size =\"8883200\"]\n  8 -> 18 [size =\"8883200\"]\n  9 [size=\"104484864\", alpha=\"0.02\", expect_size=\"52242432\"] \n  9 -> 16 [size =\"52242432\"]\n  9 -> 17 [size =\"52242432\"]\n  9 -> 19 [size =\"52242432\"]\n  10 [size=\"85690368\", alpha=\"0.09\", expect_size=\"42845184\"] \n  11 [size=\"87408640\", alpha=\"0.20\", expect_size=\"43704320\"] \n  11 -> 16 [size =\"43704320\"]\n  11 -> 18 [size =\"43704320\"]\n  12 [size=\"103884800\", alpha=\"0.02\", expect_size=\"51942400\"] \n  12 -> 16 [size =\"51942400\"]\n  12 -> 19 [size =\"51942400\"]\n  13 [size=\"88999936\", alpha=\"0.18\", expect_size=\"44499968\"] \n  13 -> 16 [size =\"44499968\"]\n  13 -> 17 [size =\"44499968\"]\n  13 -> 18 [size =\"44499968\"]\n  14 [size=\"16785408\", alpha=\"0.19\", expect_size=\"8392704\"] \n  14 -> 16 [size =\"8392704\"]\n  14 -> 17 [size =\"8392704\"]\n  14 -> 18 [size =\"8392704\"]\n  14 -> 20 [size =\"8392704\"]\n  15 [size=\"36302848\", alpha=\"0.20\", expect_size=\"18151424\"] \n  15 -> 17 [size =\"18151424\"]\n  15 -> 18 [size =\"18151424\"]\n  15 -> 20 [size =\"18151424\"]\n  16 [size=\"73508864\", alpha=\"0.17\", expect_size=\"36754432\"] \n  16 -> 24 [size =\"36754432\"]\n  16 -> 25 [size =\"36754432\"]\n  17 [size=\"70201344\", alpha=\"0.03\", expect_size=\"35100672\"] \n  17 -> 22 [size =\"35100672\"]\n  17 -> 25 [size =\"35100672\"]\n  18 [size=\"63188992\", alpha=\"0.03\", expect_size=\"31594496\"] \n  18 -> 22 [size =\"31594496\"]\n  19 [size=\"26339328\", alpha=\"0.08\", expect_size=\"13169664\"] \n  19 -> 23 [size =\"13169664\"]\n  20 [size=\"36384768\", alpha=\"0.03\", expect_size=\"18192384\"] \n  20 -> 21 [size =\"18192384\"]\n  20 -> 22 [size =\"18192384\"]\n  20 -> 23 [size =\"18192384\"]\n  20 -> 25 [size =\"18192384\"]\n  20 -> 26 [size =\"18192384\"]\n  21 [size=\"78491648\", alpha=\"0.01\", expect_size=\"39245824\"] \n  21 -> 27 [size =\"39245824\"]\n  21 -> 31 [size =\"39245824\"]\n  22 [size=\"78417920\", alpha=\"0.04\", expect_size=\"39208960\"] \n  22 -> 31 [size =\"39208960\"]\n  22 -> 31 [size =\"39208960\"]\n  22 -> 32 [size =\"39208960\"]\n  22 -> 34 [size =\"39208960\"]\n  23 [size=\"90085376\", alpha=\"0.20\", expect_size=\"45042688\"] \n  23 -> 28 [size =\"45042688\"]\n  23 -> 29 [size =\"45042688\"]\n  23 -> 31 [size =\"45042688\"]\n  23 -> 32 [size =\"45042688\"]\n  23 -> 33 [size =\"45042688\"]\n  23 -> 34 [size =\"45042688\"]\n  24 [size=\"82728960\", alpha=\"0.05\", expect_size=\"41364480\"] \n  24 -> 29 [size =\"41364480\"]\n  25 [size=\"75970560\", alpha=\"0.18\", expect_size=\"37985280\"] \n  25 -> 27 [size =\"37985280\"]\n  25 -> 28 [size =\"37985280\"]\n  25 -> 29 [size =\"37985280\"]\n  25 -> 30 [size =\"37985280\"]\n  25 -> 32 [size =\"37985280\"]\n  26 [size=\"75524096\", alpha=\"0.02\", expect_size=\"37762048\"] \n  26 -> 27 [size =\"37762048\"]\n  26 -> 29 [size =\"37762048\"]\n  26 -> 34 [size =\"37762048\"]\n  27 [size=\"61960192\", alpha=\"0.06\", expect_size=\"30980096\"] \n  27 -> 37 [size =\"30980096\"]\n  27 -> 38 [size =\"30980096\"]\n  27 -> 41 [size =\"30980096\"]\n  28 [size=\"78024704\", alpha=\"0.11\", expect_size=\"39012352\"] \n  29 [size=\"94451712\", alpha=\"0.16\", expect_size=\"47225856\"] \n  29 -> 35 [size =\"47225856\"]\n  29 -> 36 [size =\"47225856\"]\n  29 -> 39 [size =\"47225856\"]\n  30 [size=\"36225024\", alpha=\"0.17\", expect_size=\"18112512\"] \n  30 -> 35 [size =\"18112512\"]\n  30 -> 38 [size =\"18112512\"]\n  30 -> 40 [size =\"18112512\"]\n  31 [size=\"52623360\", alpha=\"0.14\", expect_size=\"26311680\"] \n  31 -> 37 [size =\"26311680\"]\n  31 -> 38 [size =\"26311680\"]\n  31 -> 39 [size =\"26311680\"]\n  31 -> 40 [size =\"26311680\"]\n  32 [size=\"56674304\", alpha=\"0.11\", expect_size=\"28337152\"] \n  32 -> 36 [size =\"28337152\"]\n  32 -> 37 [size =\"28337152\"]\n  32 -> 38 [size =\"28337152\"]\n  32 -> 39 [size =\"28337152\"]\n  33 [size=\"76599296\", alpha=\"0.05\", expect_size=\"38299648\"] \n  33 -> 37 [size =\"38299648\"]\n  33 -> 39 [size =\"38299648\"]\n  33 -> 41 [size =\"38299648\"]\n  34 [size=\"75712512\", alpha=\"0.20\", expect_size=\"37856256\"] \n  34 -> 37 [size =\"37856256\"]\n  34 -> 41 [size =\"37856256\"]\n  35 [size=\"97966080\", alpha=\"0.00\", expect_size=\"48983040\"] \n  35 -> 43 [size =\"48983040\"]\n  35 -> 45 [size =\"48983040\"]\n  35 -> 47 [size =\"48983040\"]\n  36 [size=\"87197696\", alpha=\"0.14\", expect_size=\"43598848\"] \n  36 -> 42 [size =\"43598848\"]\n  36 -> 44 [size =\"43598848\"]\n  36 -> 47 [size =\"43598848\"]\n  37 [size=\"96782336\", alpha=\"0.00\", expect_size=\"48391168\"] \n  37 -> 42 [size =\"48391168\"]\n  37 -> 44 [size =\"48391168\"]\n  37 -> 45 [size =\"48391168\"]\n  37 -> 47 [size =\"48391168\"]\n  38 [size=\"28672000\", alpha=\"0.18\", expect_size=\"14336000\"] \n  38 -> 45 [size =\"14336000\"]\n  38 -> 46 [size =\"14336000\"]\n  39 [size=\"78895104\", alpha=\"0.19\", expect_size=\"39447552\"] \n  39 -> 43 [size =\"39447552\"]\n  39 -> 45 [size =\"39447552\"]\n  40 [size=\"58331136\", alpha=\"0.06\", expect_size=\"29165568\"] \n  41 [size=\"42188800\", alpha=\"0.06\", expect_size=\"21094400\"] \n  41 -> 43 [size =\"21094400\"]\n  41 -> 45 [size =\"21094400\"]\n  42 [size=\"13019136\", alpha=\"0.02\", expect_size=\"6509568\"] \n  42 -> 48 [size =\"6509568\"]\n  43 [size=\"64223232\", alpha=\"0.14\", expect_size=\"32111616\"] \n  43 -> 48 [size =\"32111616\"]\n  43 -> 50 [size =\"32111616\"]\n  44 [size=\"85573632\", alpha=\"0.01\", expect_size=\"42786816\"] \n  44 -> 49 [size =\"42786816\"]\n  44 -> 50 [size =\"42786816\"]\n  45 [size=\"83367936\", alpha=\"0.03\", expect_size=\"41683968\"] \n  45 -> 50 [size =\"41683968\"]\n  46 [size=\"83429376\", alpha=\"0.18\", expect_size=\"41714688\"] \n  47 [size=\"54405120\", alpha=\"0.04\", expect_size=\"27202560\"] \n  48 [size=\"56014848\", alpha=\"0.04\", expect_size=\"28007424\"] \n  49 [size=\"46589952\", alpha=\"0.03\", expect_size=\"23294976\"] \n  50 [size=\"41984000\", alpha=\"0.06\", expect_size=\"20992000\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.83.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"39247872\", alpha=\"0.13\", expect_size=\"19623936\"] \n  1 -> 31 [size =\"19623936\"]\n  1 -> 36 [size =\"19623936\"]\n  1 -> 38 [size =\"19623936\"]\n  1 -> 40 [size =\"19623936\"]\n  1 -> 43 [size =\"19623936\"]\n  1 -> 46 [size =\"19623936\"]\n  1 -> 47 [size =\"19623936\"]\n  1 -> 48 [size =\"19623936\"]\n  1 -> 49 [size =\"19623936\"]\n  2 [size=\"59250688\", alpha=\"0.12\", expect_size=\"29625344\"] \n  2 -> 37 [size =\"29625344\"]\n  2 -> 40 [size =\"29625344\"]\n  2 -> 44 [size =\"29625344\"]\n  2 -> 46 [size =\"29625344\"]\n  2 -> 47 [size =\"29625344\"]\n  3 [size=\"27598848\", alpha=\"0.14\", expect_size=\"13799424\"] \n  3 -> 32 [size =\"13799424\"]\n  3 -> 34 [size =\"13799424\"]\n  3 -> 38 [size =\"13799424\"]\n  3 -> 47 [size =\"13799424\"]\n  4 [size=\"21168128\", alpha=\"0.09\", expect_size=\"10584064\"] \n  4 -> 34 [size =\"10584064\"]\n  4 -> 36 [size =\"10584064\"]\n  4 -> 39 [size =\"10584064\"]\n  4 -> 41 [size =\"10584064\"]\n  4 -> 43 [size =\"10584064\"]\n  4 -> 46 [size =\"10584064\"]\n  4 -> 47 [size =\"10584064\"]\n  4 -> 49 [size =\"10584064\"]\n  5 [size=\"65511424\", alpha=\"0.02\", expect_size=\"32755712\"] \n  5 -> 31 [size =\"32755712\"]\n  5 -> 32 [size =\"32755712\"]\n  5 -> 34 [size =\"32755712\"]\n  5 -> 35 [size =\"32755712\"]\n  5 -> 39 [size =\"32755712\"]\n  5 -> 41 [size =\"32755712\"]\n  5 -> 43 [size =\"32755712\"]\n  5 -> 45 [size =\"32755712\"]\n  5 -> 48 [size =\"32755712\"]\n  5 -> 49 [size =\"32755712\"]\n  6 [size=\"55844864\", alpha=\"0.00\", expect_size=\"27922432\"] \n  6 -> 31 [size =\"27922432\"]\n  6 -> 39 [size =\"27922432\"]\n  6 -> 41 [size =\"27922432\"]\n  6 -> 47 [size =\"27922432\"]\n  6 -> 48 [size =\"27922432\"]\n  7 [size=\"60827648\", alpha=\"0.16\", expect_size=\"30413824\"] \n  7 -> 36 [size =\"30413824\"]\n  7 -> 38 [size =\"30413824\"]\n  7 -> 39 [size =\"30413824\"]\n  7 -> 41 [size =\"30413824\"]\n  7 -> 46 [size =\"30413824\"]\n  7 -> 47 [size =\"30413824\"]\n  8 [size=\"84914176\", alpha=\"0.08\", expect_size=\"42457088\"] \n  8 -> 33 [size =\"42457088\"]\n  8 -> 36 [size =\"42457088\"]\n  8 -> 38 [size =\"42457088\"]\n  8 -> 39 [size =\"42457088\"]\n  8 -> 43 [size =\"42457088\"]\n  8 -> 46 [size =\"42457088\"]\n  9 [size=\"91447296\", alpha=\"0.12\", expect_size=\"45723648\"] \n  9 -> 32 [size =\"45723648\"]\n  9 -> 33 [size =\"45723648\"]\n  9 -> 34 [size =\"45723648\"]\n  9 -> 37 [size =\"45723648\"]\n  9 -> 39 [size =\"45723648\"]\n  9 -> 43 [size =\"45723648\"]\n  9 -> 46 [size =\"45723648\"]\n  9 -> 49 [size =\"45723648\"]\n  10 [size=\"74469376\", alpha=\"0.20\", expect_size=\"37234688\"] \n  10 -> 33 [size =\"37234688\"]\n  10 -> 37 [size =\"37234688\"]\n  10 -> 46 [size =\"37234688\"]\n  10 -> 47 [size =\"37234688\"]\n  10 -> 48 [size =\"37234688\"]\n  11 [size=\"49946624\", alpha=\"0.12\", expect_size=\"24973312\"] \n  11 -> 33 [size =\"24973312\"]\n  11 -> 34 [size =\"24973312\"]\n  11 -> 36 [size =\"24973312\"]\n  11 -> 38 [size =\"24973312\"]\n  11 -> 41 [size =\"24973312\"]\n  11 -> 47 [size =\"24973312\"]\n  11 -> 48 [size =\"24973312\"]\n  12 [size=\"18159616\", alpha=\"0.03\", expect_size=\"9079808\"] \n  12 -> 33 [size =\"9079808\"]\n  12 -> 34 [size =\"9079808\"]\n  12 -> 39 [size =\"9079808\"]\n  12 -> 41 [size =\"9079808\"]\n  12 -> 46 [size =\"9079808\"]\n  12 -> 49 [size =\"9079808\"]\n  13 [size=\"74926080\", alpha=\"0.18\", expect_size=\"37463040\"] \n  13 -> 34 [size =\"37463040\"]\n  13 -> 36 [size =\"37463040\"]\n  13 -> 38 [size =\"37463040\"]\n  13 -> 41 [size =\"37463040\"]\n  13 -> 46 [size =\"37463040\"]\n  13 -> 48 [size =\"37463040\"]\n  13 -> 49 [size =\"37463040\"]\n  14 [size=\"45254656\", alpha=\"0.06\", expect_size=\"22627328\"] \n  14 -> 34 [size =\"22627328\"]\n  14 -> 36 [size =\"22627328\"]\n  14 -> 41 [size =\"22627328\"]\n  14 -> 41 [size =\"22627328\"]\n  14 -> 45 [size =\"22627328\"]\n  14 -> 46 [size =\"22627328\"]\n  14 -> 49 [size =\"22627328\"]\n  15 [size=\"86446080\", alpha=\"0.10\", expect_size=\"43223040\"] \n  15 -> 35 [size =\"43223040\"]\n  15 -> 37 [size =\"43223040\"]\n  15 -> 38 [size =\"43223040\"]\n  15 -> 41 [size =\"43223040\"]\n  15 -> 43 [size =\"43223040\"]\n  15 -> 44 [size =\"43223040\"]\n  15 -> 47 [size =\"43223040\"]\n  15 -> 48 [size =\"43223040\"]\n  15 -> 49 [size =\"43223040\"]\n  16 [size=\"94662656\", alpha=\"0.08\", expect_size=\"47331328\"] \n  16 -> 33 [size =\"47331328\"]\n  16 -> 36 [size =\"47331328\"]\n  16 -> 39 [size =\"47331328\"]\n  16 -> 41 [size =\"47331328\"]\n  16 -> 46 [size =\"47331328\"]\n  16 -> 48 [size =\"47331328\"]\n  17 [size=\"96323584\", alpha=\"0.01\", expect_size=\"48161792\"] \n  17 -> 38 [size =\"48161792\"]\n  17 -> 39 [size =\"48161792\"]\n  17 -> 41 [size =\"48161792\"]\n  17 -> 41 [size =\"48161792\"]\n  17 -> 43 [size =\"48161792\"]\n  17 -> 46 [size =\"48161792\"]\n  17 -> 48 [size =\"48161792\"]\n  18 [size=\"76001280\", alpha=\"0.07\", expect_size=\"38000640\"] \n  18 -> 35 [size =\"38000640\"]\n  18 -> 41 [size =\"38000640\"]\n  18 -> 43 [size =\"38000640\"]\n  19 [size=\"19904512\", alpha=\"0.01\", expect_size=\"9952256\"] \n  19 -> 31 [size =\"9952256\"]\n  19 -> 32 [size =\"9952256\"]\n  19 -> 38 [size =\"9952256\"]\n  19 -> 40 [size =\"9952256\"]\n  19 -> 43 [size =\"9952256\"]\n  19 -> 47 [size =\"9952256\"]\n  20 [size=\"75526144\", alpha=\"0.05\", expect_size=\"37763072\"] \n  20 -> 33 [size =\"37763072\"]\n  20 -> 34 [size =\"37763072\"]\n  20 -> 38 [size =\"37763072\"]\n  20 -> 40 [size =\"37763072\"]\n  20 -> 41 [size =\"37763072\"]\n  20 -> 43 [size =\"37763072\"]\n  20 -> 47 [size =\"37763072\"]\n  20 -> 49 [size =\"37763072\"]\n  21 [size=\"74199040\", alpha=\"0.15\", expect_size=\"37099520\"] \n  21 -> 33 [size =\"37099520\"]\n  21 -> 38 [size =\"37099520\"]\n  21 -> 40 [size =\"37099520\"]\n  21 -> 43 [size =\"37099520\"]\n  21 -> 46 [size =\"37099520\"]\n  21 -> 48 [size =\"37099520\"]\n  21 -> 49 [size =\"37099520\"]\n  21 -> 49 [size =\"37099520\"]\n  22 [size=\"38160384\", alpha=\"0.16\", expect_size=\"19080192\"] \n  22 -> 31 [size =\"19080192\"]\n  22 -> 35 [size =\"19080192\"]\n  22 -> 38 [size =\"19080192\"]\n  22 -> 39 [size =\"19080192\"]\n  22 -> 43 [size =\"19080192\"]\n  22 -> 46 [size =\"19080192\"]\n  23 [size=\"54579200\", alpha=\"0.00\", expect_size=\"27289600\"] \n  23 -> 43 [size =\"27289600\"]\n  23 -> 45 [size =\"27289600\"]\n  24 [size=\"44122112\", alpha=\"0.07\", expect_size=\"22061056\"] \n  24 -> 37 [size =\"22061056\"]\n  24 -> 38 [size =\"22061056\"]\n  24 -> 41 [size =\"22061056\"]\n  24 -> 43 [size =\"22061056\"]\n  24 -> 50 [size =\"22061056\"]\n  25 [size=\"73148416\", alpha=\"0.05\", expect_size=\"36574208\"] \n  25 -> 32 [size =\"36574208\"]\n  25 -> 36 [size =\"36574208\"]\n  25 -> 40 [size =\"36574208\"]\n  25 -> 45 [size =\"36574208\"]\n  25 -> 47 [size =\"36574208\"]\n  26 [size=\"27357184\", alpha=\"0.13\", expect_size=\"13678592\"] \n  26 -> 35 [size =\"13678592\"]\n  26 -> 39 [size =\"13678592\"]\n  27 [size=\"64634880\", alpha=\"0.11\", expect_size=\"32317440\"] \n  27 -> 36 [size =\"32317440\"]\n  27 -> 41 [size =\"32317440\"]\n  27 -> 42 [size =\"32317440\"]\n  28 [size=\"69844992\", alpha=\"0.05\", expect_size=\"34922496\"] \n  28 -> 35 [size =\"34922496\"]\n  28 -> 39 [size =\"34922496\"]\n  28 -> 41 [size =\"34922496\"]\n  28 -> 45 [size =\"34922496\"]\n  28 -> 49 [size =\"34922496\"]\n  29 [size=\"103550976\", alpha=\"0.17\", expect_size=\"51775488\"] \n  29 -> 41 [size =\"51775488\"]\n  29 -> 43 [size =\"51775488\"]\n  29 -> 46 [size =\"51775488\"]\n  29 -> 47 [size =\"51775488\"]\n  29 -> 48 [size =\"51775488\"]\n  30 [size=\"12957696\", alpha=\"0.02\", expect_size=\"6478848\"] \n  30 -> 32 [size =\"6478848\"]\n  30 -> 39 [size =\"6478848\"]\n  30 -> 40 [size =\"6478848\"]\n  30 -> 41 [size =\"6478848\"]\n  30 -> 48 [size =\"6478848\"]\n  31 [size=\"36476928\", alpha=\"0.15\", expect_size=\"18238464\"] \n  32 [size=\"14129152\", alpha=\"0.10\", expect_size=\"7064576\"] \n  33 [size=\"89053184\", alpha=\"0.18\", expect_size=\"44526592\"] \n  34 [size=\"89616384\", alpha=\"0.14\", expect_size=\"44808192\"] \n  35 [size=\"26507264\", alpha=\"0.06\", expect_size=\"13253632\"] \n  36 [size=\"49119232\", alpha=\"0.16\", expect_size=\"24559616\"] \n  37 [size=\"14073856\", alpha=\"0.04\", expect_size=\"7036928\"] \n  38 [size=\"66080768\", alpha=\"0.06\", expect_size=\"33040384\"] \n  39 [size=\"90828800\", alpha=\"0.10\", expect_size=\"45414400\"] \n  40 [size=\"74907648\", alpha=\"0.08\", expect_size=\"37453824\"] \n  41 [size=\"82300928\", alpha=\"0.19\", expect_size=\"41150464\"] \n  42 [size=\"58097664\", alpha=\"0.16\", expect_size=\"29048832\"] \n  43 [size=\"104347648\", alpha=\"0.03\", expect_size=\"52173824\"] \n  44 [size=\"96747520\", alpha=\"0.17\", expect_size=\"48373760\"] \n  45 [size=\"70066176\", alpha=\"0.03\", expect_size=\"35033088\"] \n  46 [size=\"100268032\", alpha=\"0.14\", expect_size=\"50134016\"] \n  47 [size=\"82784256\", alpha=\"0.16\", expect_size=\"41392128\"] \n  48 [size=\"103456768\", alpha=\"0.10\", expect_size=\"51728384\"] \n  49 [size=\"39057408\", alpha=\"0.04\", expect_size=\"19528704\"] \n  50 [size=\"87746560\", alpha=\"0.19\", expect_size=\"43873280\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.84.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.9 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"36827136\", alpha=\"0.09\", expect_size=\"18413568\"] \n  1 -> 23 [size =\"18413568\"]\n  1 -> 25 [size =\"18413568\"]\n  1 -> 30 [size =\"18413568\"]\n  1 -> 31 [size =\"18413568\"]\n  1 -> 33 [size =\"18413568\"]\n  2 [size=\"84666368\", alpha=\"0.16\", expect_size=\"42333184\"] \n  2 -> 33 [size =\"42333184\"]\n  2 -> 34 [size =\"42333184\"]\n  2 -> 37 [size =\"42333184\"]\n  3 [size=\"47720448\", alpha=\"0.19\", expect_size=\"23860224\"] \n  3 -> 23 [size =\"23860224\"]\n  3 -> 34 [size =\"23860224\"]\n  4 [size=\"79677440\", alpha=\"0.02\", expect_size=\"39838720\"] \n  4 -> 22 [size =\"39838720\"]\n  4 -> 24 [size =\"39838720\"]\n  4 -> 25 [size =\"39838720\"]\n  4 -> 30 [size =\"39838720\"]\n  4 -> 31 [size =\"39838720\"]\n  4 -> 34 [size =\"39838720\"]\n  5 [size=\"71014400\", alpha=\"0.11\", expect_size=\"35507200\"] \n  5 -> 21 [size =\"35507200\"]\n  5 -> 28 [size =\"35507200\"]\n  5 -> 30 [size =\"35507200\"]\n  5 -> 32 [size =\"35507200\"]\n  5 -> 33 [size =\"35507200\"]\n  6 [size=\"37376000\", alpha=\"0.14\", expect_size=\"18688000\"] \n  6 -> 23 [size =\"18688000\"]\n  6 -> 26 [size =\"18688000\"]\n  6 -> 28 [size =\"18688000\"]\n  6 -> 30 [size =\"18688000\"]\n  6 -> 33 [size =\"18688000\"]\n  7 [size=\"37947392\", alpha=\"0.11\", expect_size=\"18973696\"] \n  7 -> 26 [size =\"18973696\"]\n  7 -> 28 [size =\"18973696\"]\n  7 -> 29 [size =\"18973696\"]\n  7 -> 30 [size =\"18973696\"]\n  7 -> 31 [size =\"18973696\"]\n  7 -> 32 [size =\"18973696\"]\n  7 -> 36 [size =\"18973696\"]\n  8 [size=\"84885504\", alpha=\"0.06\", expect_size=\"42442752\"] \n  8 -> 26 [size =\"42442752\"]\n  8 -> 28 [size =\"42442752\"]\n  8 -> 31 [size =\"42442752\"]\n  8 -> 33 [size =\"42442752\"]\n  8 -> 34 [size =\"42442752\"]\n  9 [size=\"67772416\", alpha=\"0.17\", expect_size=\"33886208\"] \n  9 -> 27 [size =\"33886208\"]\n  9 -> 28 [size =\"33886208\"]\n  9 -> 38 [size =\"33886208\"]\n  10 [size=\"103106560\", alpha=\"0.18\", expect_size=\"51553280\"] \n  10 -> 21 [size =\"51553280\"]\n  10 -> 25 [size =\"51553280\"]\n  10 -> 26 [size =\"51553280\"]\n  10 -> 30 [size =\"51553280\"]\n  10 -> 31 [size =\"51553280\"]\n  10 -> 32 [size =\"51553280\"]\n  10 -> 35 [size =\"51553280\"]\n  11 [size=\"48228352\", alpha=\"0.19\", expect_size=\"24114176\"] \n  11 -> 21 [size =\"24114176\"]\n  11 -> 23 [size =\"24114176\"]\n  11 -> 27 [size =\"24114176\"]\n  11 -> 33 [size =\"24114176\"]\n  12 [size=\"92438528\", alpha=\"0.13\", expect_size=\"46219264\"] \n  12 -> 21 [size =\"46219264\"]\n  12 -> 26 [size =\"46219264\"]\n  12 -> 27 [size =\"46219264\"]\n  12 -> 28 [size =\"46219264\"]\n  12 -> 34 [size =\"46219264\"]\n  13 [size=\"73979904\", alpha=\"0.17\", expect_size=\"36989952\"] \n  13 -> 21 [size =\"36989952\"]\n  13 -> 27 [size =\"36989952\"]\n  13 -> 29 [size =\"36989952\"]\n  13 -> 35 [size =\"36989952\"]\n  13 -> 38 [size =\"36989952\"]\n  14 [size=\"69388288\", alpha=\"0.09\", expect_size=\"34694144\"] \n  14 -> 29 [size =\"34694144\"]\n  14 -> 31 [size =\"34694144\"]\n  14 -> 35 [size =\"34694144\"]\n  14 -> 38 [size =\"34694144\"]\n  15 [size=\"77254656\", alpha=\"0.18\", expect_size=\"38627328\"] \n  15 -> 26 [size =\"38627328\"]\n  15 -> 28 [size =\"38627328\"]\n  15 -> 29 [size =\"38627328\"]\n  15 -> 33 [size =\"38627328\"]\n  15 -> 36 [size =\"38627328\"]\n  16 [size=\"32843776\", alpha=\"0.05\", expect_size=\"16421888\"] \n  16 -> 22 [size =\"16421888\"]\n  16 -> 25 [size =\"16421888\"]\n  16 -> 26 [size =\"16421888\"]\n  16 -> 29 [size =\"16421888\"]\n  16 -> 30 [size =\"16421888\"]\n  16 -> 33 [size =\"16421888\"]\n  16 -> 38 [size =\"16421888\"]\n  17 [size=\"99102720\", alpha=\"0.19\", expect_size=\"49551360\"] \n  17 -> 22 [size =\"49551360\"]\n  17 -> 29 [size =\"49551360\"]\n  17 -> 33 [size =\"49551360\"]\n  17 -> 34 [size =\"49551360\"]\n  18 [size=\"57497600\", alpha=\"0.07\", expect_size=\"28748800\"] \n  18 -> 26 [size =\"28748800\"]\n  18 -> 27 [size =\"28748800\"]\n  18 -> 28 [size =\"28748800\"]\n  18 -> 30 [size =\"28748800\"]\n  18 -> 31 [size =\"28748800\"]\n  18 -> 32 [size =\"28748800\"]\n  18 -> 33 [size =\"28748800\"]\n  19 [size=\"86814720\", alpha=\"0.03\", expect_size=\"43407360\"] \n  19 -> 25 [size =\"43407360\"]\n  19 -> 26 [size =\"43407360\"]\n  19 -> 28 [size =\"43407360\"]\n  19 -> 29 [size =\"43407360\"]\n  19 -> 30 [size =\"43407360\"]\n  19 -> 34 [size =\"43407360\"]\n  19 -> 35 [size =\"43407360\"]\n  20 [size=\"72161280\", alpha=\"0.01\", expect_size=\"36080640\"] \n  20 -> 24 [size =\"36080640\"]\n  20 -> 25 [size =\"36080640\"]\n  20 -> 34 [size =\"36080640\"]\n  21 [size=\"64405504\", alpha=\"0.06\", expect_size=\"32202752\"] \n  21 -> 41 [size =\"32202752\"]\n  21 -> 42 [size =\"32202752\"]\n  21 -> 49 [size =\"32202752\"]\n  21 -> 50 [size =\"32202752\"]\n  22 [size=\"60340224\", alpha=\"0.05\", expect_size=\"30170112\"] \n  22 -> 39 [size =\"30170112\"]\n  22 -> 40 [size =\"30170112\"]\n  22 -> 42 [size =\"30170112\"]\n  22 -> 47 [size =\"30170112\"]\n  22 -> 50 [size =\"30170112\"]\n  23 [size=\"28037120\", alpha=\"0.13\", expect_size=\"14018560\"] \n  23 -> 39 [size =\"14018560\"]\n  23 -> 47 [size =\"14018560\"]\n  23 -> 49 [size =\"14018560\"]\n  23 -> 50 [size =\"14018560\"]\n  24 [size=\"16052224\", alpha=\"0.15\", expect_size=\"8026112\"] \n  24 -> 47 [size =\"8026112\"]\n  24 -> 49 [size =\"8026112\"]\n  25 [size=\"56219648\", alpha=\"0.10\", expect_size=\"28109824\"] \n  25 -> 40 [size =\"28109824\"]\n  25 -> 45 [size =\"28109824\"]\n  25 -> 46 [size =\"28109824\"]\n  25 -> 49 [size =\"28109824\"]\n  26 [size=\"45903872\", alpha=\"0.11\", expect_size=\"22951936\"] \n  26 -> 44 [size =\"22951936\"]\n  26 -> 45 [size =\"22951936\"]\n  26 -> 49 [size =\"22951936\"]\n  27 [size=\"69441536\", alpha=\"0.18\", expect_size=\"34720768\"] \n  27 -> 47 [size =\"34720768\"]\n  27 -> 49 [size =\"34720768\"]\n  27 -> 50 [size =\"34720768\"]\n  28 [size=\"65699840\", alpha=\"0.00\", expect_size=\"32849920\"] \n  28 -> 39 [size =\"32849920\"]\n  28 -> 43 [size =\"32849920\"]\n  28 -> 44 [size =\"32849920\"]\n  28 -> 47 [size =\"32849920\"]\n  28 -> 48 [size =\"32849920\"]\n  29 [size=\"98631680\", alpha=\"0.15\", expect_size=\"49315840\"] \n  29 -> 44 [size =\"49315840\"]\n  30 [size=\"18651136\", alpha=\"0.09\", expect_size=\"9325568\"] \n  30 -> 44 [size =\"9325568\"]\n  30 -> 48 [size =\"9325568\"]\n  30 -> 49 [size =\"9325568\"]\n  31 [size=\"25708544\", alpha=\"0.11\", expect_size=\"12854272\"] \n  31 -> 39 [size =\"12854272\"]\n  31 -> 48 [size =\"12854272\"]\n  31 -> 50 [size =\"12854272\"]\n  32 [size=\"51777536\", alpha=\"0.11\", expect_size=\"25888768\"] \n  32 -> 46 [size =\"25888768\"]\n  32 -> 47 [size =\"25888768\"]\n  32 -> 50 [size =\"25888768\"]\n  33 [size=\"76668928\", alpha=\"0.04\", expect_size=\"38334464\"] \n  33 -> 42 [size =\"38334464\"]\n  33 -> 44 [size =\"38334464\"]\n  33 -> 50 [size =\"38334464\"]\n  34 [size=\"43245568\", alpha=\"0.09\", expect_size=\"21622784\"] \n  34 -> 39 [size =\"21622784\"]\n  34 -> 40 [size =\"21622784\"]\n  34 -> 42 [size =\"21622784\"]\n  34 -> 44 [size =\"21622784\"]\n  35 [size=\"20699136\", alpha=\"0.09\", expect_size=\"10349568\"] \n  35 -> 40 [size =\"10349568\"]\n  35 -> 40 [size =\"10349568\"]\n  35 -> 45 [size =\"10349568\"]\n  36 [size=\"69562368\", alpha=\"0.13\", expect_size=\"34781184\"] \n  36 -> 42 [size =\"34781184\"]\n  36 -> 44 [size =\"34781184\"]\n  36 -> 46 [size =\"34781184\"]\n  37 [size=\"27979776\", alpha=\"0.16\", expect_size=\"13989888\"] \n  37 -> 39 [size =\"13989888\"]\n  37 -> 42 [size =\"13989888\"]\n  37 -> 46 [size =\"13989888\"]\n  37 -> 47 [size =\"13989888\"]\n  37 -> 49 [size =\"13989888\"]\n  37 -> 50 [size =\"13989888\"]\n  38 [size=\"17786880\", alpha=\"0.10\", expect_size=\"8893440\"] \n  38 -> 40 [size =\"8893440\"]\n  38 -> 42 [size =\"8893440\"]\n  38 -> 45 [size =\"8893440\"]\n  38 -> 48 [size =\"8893440\"]\n  38 -> 49 [size =\"8893440\"]\n  38 -> 50 [size =\"8893440\"]\n  39 [size=\"19015680\", alpha=\"0.19\", expect_size=\"9507840\"] \n  40 [size=\"88950784\", alpha=\"0.01\", expect_size=\"44475392\"] \n  41 [size=\"37099520\", alpha=\"0.15\", expect_size=\"18549760\"] \n  42 [size=\"89952256\", alpha=\"0.19\", expect_size=\"44976128\"] \n  43 [size=\"46344192\", alpha=\"0.08\", expect_size=\"23172096\"] \n  44 [size=\"64143360\", alpha=\"0.17\", expect_size=\"32071680\"] \n  45 [size=\"13510656\", alpha=\"0.16\", expect_size=\"6755328\"] \n  46 [size=\"55586816\", alpha=\"0.02\", expect_size=\"27793408\"] \n  47 [size=\"23990272\", alpha=\"0.01\", expect_size=\"11995136\"] \n  48 [size=\"101705728\", alpha=\"0.12\", expect_size=\"50852864\"] \n  49 [size=\"52631552\", alpha=\"0.01\", expect_size=\"26315776\"] \n  50 [size=\"47470592\", alpha=\"0.12\", expect_size=\"23735296\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.85.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.1 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"86002347\", alpha=\"0.09\", expect_size=\"25800704\"] \n  1 -> 2 [size =\"25800704\"]\n  2 [size=\"103683413\", alpha=\"0.04\", expect_size=\"31105024\"] \n  2 -> 3 [size =\"31105024\"]\n  3 [size=\"78919680\", alpha=\"0.14\", expect_size=\"23675904\"] \n  3 -> 4 [size =\"23675904\"]\n  4 [size=\"76267520\", alpha=\"0.08\", expect_size=\"22880256\"] \n  4 -> 5 [size =\"22880256\"]\n  5 [size=\"47588693\", alpha=\"0.02\", expect_size=\"14276608\"] \n  5 -> 6 [size =\"14276608\"]\n  6 [size=\"163293867\", alpha=\"0.04\", expect_size=\"48988160\"] \n  6 -> 7 [size =\"48988160\"]\n  7 [size=\"44055893\", alpha=\"0.05\", expect_size=\"13216768\"] \n  7 -> 8 [size =\"13216768\"]\n  8 [size=\"91781120\", alpha=\"0.01\", expect_size=\"27534336\"] \n  8 -> 9 [size =\"27534336\"]\n  9 [size=\"66000213\", alpha=\"0.09\", expect_size=\"19800064\"] \n  9 -> 10 [size =\"19800064\"]\n  10 [size=\"127754240\", alpha=\"0.17\", expect_size=\"38326272\"] \n  10 -> 11 [size =\"38326272\"]\n  11 [size=\"58350933\", alpha=\"0.12\", expect_size=\"17505280\"] \n  11 -> 12 [size =\"17505280\"]\n  12 [size=\"129365333\", alpha=\"0.03\", expect_size=\"38809600\"] \n  12 -> 13 [size =\"38809600\"]\n  13 [size=\"159320747\", alpha=\"0.08\", expect_size=\"47796224\"] \n  13 -> 14 [size =\"47796224\"]\n  14 [size=\"108608853\", alpha=\"0.12\", expect_size=\"32582656\"] \n  14 -> 15 [size =\"32582656\"]\n  15 [size=\"167946240\", alpha=\"0.14\", expect_size=\"50383872\"] \n  15 -> 16 [size =\"50383872\"]\n  16 [size=\"25941333\", alpha=\"0.00\", expect_size=\"7782400\"] \n  16 -> 17 [size =\"7782400\"]\n  17 [size=\"60992853\", alpha=\"0.08\", expect_size=\"18297856\"] \n  17 -> 18 [size =\"18297856\"]\n  18 [size=\"101686613\", alpha=\"0.11\", expect_size=\"30505984\"] \n  18 -> 19 [size =\"30505984\"]\n  19 [size=\"111701333\", alpha=\"0.02\", expect_size=\"33510400\"] \n  19 -> 20 [size =\"33510400\"]\n  20 [size=\"21722453\", alpha=\"0.09\", expect_size=\"6516736\"] \n  20 -> 21 [size =\"6516736\"]\n  21 [size=\"154108587\", alpha=\"0.05\", expect_size=\"46232576\"] \n  21 -> 22 [size =\"46232576\"]\n  22 [size=\"89995947\", alpha=\"0.11\", expect_size=\"26998784\"] \n  22 -> 23 [size =\"26998784\"]\n  23 [size=\"110926507\", alpha=\"0.06\", expect_size=\"33277952\"] \n  23 -> 24 [size =\"33277952\"]\n  24 [size=\"172386987\", alpha=\"0.08\", expect_size=\"51716096\"] \n  24 -> 25 [size =\"51716096\"]\n  25 [size=\"110380373\", alpha=\"0.13\", expect_size=\"33114112\"] \n  25 -> 26 [size =\"33114112\"]\n  26 [size=\"59299840\", alpha=\"0.18\", expect_size=\"17789952\"] \n  26 -> 27 [size =\"17789952\"]\n  27 [size=\"59924480\", alpha=\"0.05\", expect_size=\"17977344\"] \n  27 -> 28 [size =\"17977344\"]\n  28 [size=\"119722667\", alpha=\"0.02\", expect_size=\"35916800\"] \n  28 -> 29 [size =\"35916800\"]\n  29 [size=\"46646613\", alpha=\"0.05\", expect_size=\"13993984\"] \n  29 -> 30 [size =\"13993984\"]\n  30 [size=\"65938773\", alpha=\"0.03\", expect_size=\"19781632\"] \n  30 -> 31 [size =\"19781632\"]\n  31 [size=\"139373227\", alpha=\"0.05\", expect_size=\"41811968\"] \n  31 -> 32 [size =\"41811968\"]\n  32 [size=\"20910080\", alpha=\"0.02\", expect_size=\"6273024\"] \n  32 -> 33 [size =\"6273024\"]\n  33 [size=\"111329280\", alpha=\"0.17\", expect_size=\"33398784\"] \n  33 -> 34 [size =\"33398784\"]\n  34 [size=\"157501440\", alpha=\"0.03\", expect_size=\"47250432\"] \n  34 -> 35 [size =\"47250432\"]\n  35 [size=\"60934827\", alpha=\"0.08\", expect_size=\"18280448\"] \n  35 -> 36 [size =\"18280448\"]\n  36 [size=\"166307840\", alpha=\"0.15\", expect_size=\"49892352\"] \n  36 -> 37 [size =\"49892352\"]\n  37 [size=\"147585707\", alpha=\"0.07\", expect_size=\"44275712\"] \n  37 -> 38 [size =\"44275712\"]\n  38 [size=\"31344640\", alpha=\"0.10\", expect_size=\"9403392\"] \n  38 -> 39 [size =\"9403392\"]\n  39 [size=\"49186133\", alpha=\"0.04\", expect_size=\"14755840\"] \n  39 -> 40 [size =\"14755840\"]\n  40 [size=\"92340907\", alpha=\"0.20\", expect_size=\"27702272\"] \n  40 -> 41 [size =\"27702272\"]\n  41 [size=\"113807360\", alpha=\"0.12\", expect_size=\"34142208\"] \n  41 -> 42 [size =\"34142208\"]\n  42 [size=\"154460160\", alpha=\"0.14\", expect_size=\"46338048\"] \n  42 -> 43 [size =\"46338048\"]\n  43 [size=\"168898560\", alpha=\"0.08\", expect_size=\"50669568\"] \n  43 -> 44 [size =\"50669568\"]\n  44 [size=\"141690880\", alpha=\"0.01\", expect_size=\"42507264\"] \n  44 -> 45 [size =\"42507264\"]\n  45 [size=\"163966293\", alpha=\"0.06\", expect_size=\"49189888\"] \n  45 -> 46 [size =\"49189888\"]\n  46 [size=\"71628800\", alpha=\"0.17\", expect_size=\"21488640\"] \n  46 -> 47 [size =\"21488640\"]\n  47 [size=\"30429867\", alpha=\"0.13\", expect_size=\"9128960\"] \n  47 -> 48 [size =\"9128960\"]\n  48 [size=\"83886080\", alpha=\"0.02\", expect_size=\"25165824\"] \n  48 -> 49 [size =\"25165824\"]\n  49 [size=\"158924800\", alpha=\"0.15\", expect_size=\"47677440\"] \n  49 -> 50 [size =\"47677440\"]\n  50 [size=\"35201707\", alpha=\"0.14\", expect_size=\"10560512\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.86.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.1 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"79730688\", alpha=\"0.14\", expect_size=\"39865344\"] \n  1 -> 2 [size =\"39865344\"]\n  2 [size=\"82874368\", alpha=\"0.19\", expect_size=\"41437184\"] \n  2 -> 3 [size =\"41437184\"]\n  3 [size=\"65869824\", alpha=\"0.17\", expect_size=\"32934912\"] \n  3 -> 4 [size =\"32934912\"]\n  4 [size=\"83886080\", alpha=\"0.06\", expect_size=\"41943040\"] \n  4 -> 5 [size =\"41943040\"]\n  5 [size=\"60018688\", alpha=\"0.18\", expect_size=\"30009344\"] \n  5 -> 6 [size =\"30009344\"]\n  6 [size=\"89395200\", alpha=\"0.17\", expect_size=\"44697600\"] \n  6 -> 7 [size =\"44697600\"]\n  7 [size=\"93818880\", alpha=\"0.06\", expect_size=\"46909440\"] \n  7 -> 8 [size =\"46909440\"]\n  8 [size=\"73670656\", alpha=\"0.18\", expect_size=\"36835328\"] \n  8 -> 9 [size =\"36835328\"]\n  9 [size=\"38979584\", alpha=\"0.11\", expect_size=\"19489792\"] \n  9 -> 10 [size =\"19489792\"]\n  10 [size=\"50399232\", alpha=\"0.15\", expect_size=\"25199616\"] \n  10 -> 11 [size =\"25199616\"]\n  11 [size=\"68239360\", alpha=\"0.09\", expect_size=\"34119680\"] \n  11 -> 12 [size =\"34119680\"]\n  12 [size=\"40759296\", alpha=\"0.15\", expect_size=\"20379648\"] \n  12 -> 13 [size =\"20379648\"]\n  13 [size=\"34076672\", alpha=\"0.13\", expect_size=\"17038336\"] \n  13 -> 14 [size =\"17038336\"]\n  14 [size=\"18393088\", alpha=\"0.04\", expect_size=\"9196544\"] \n  14 -> 15 [size =\"9196544\"]\n  15 [size=\"46424064\", alpha=\"0.12\", expect_size=\"23212032\"] \n  15 -> 16 [size =\"23212032\"]\n  16 [size=\"36182016\", alpha=\"0.11\", expect_size=\"18091008\"] \n  16 -> 17 [size =\"18091008\"]\n  17 [size=\"21098496\", alpha=\"0.01\", expect_size=\"10549248\"] \n  17 -> 18 [size =\"10549248\"]\n  18 [size=\"51101696\", alpha=\"0.06\", expect_size=\"25550848\"] \n  18 -> 19 [size =\"25550848\"]\n  19 [size=\"41451520\", alpha=\"0.01\", expect_size=\"20725760\"] \n  19 -> 20 [size =\"20725760\"]\n  20 [size=\"91555840\", alpha=\"0.00\", expect_size=\"45777920\"] \n  20 -> 21 [size =\"45777920\"]\n  21 [size=\"68407296\", alpha=\"0.15\", expect_size=\"34203648\"] \n  21 -> 22 [size =\"34203648\"]\n  22 [size=\"18853888\", alpha=\"0.04\", expect_size=\"9426944\"] \n  22 -> 23 [size =\"9426944\"]\n  23 [size=\"89116672\", alpha=\"0.05\", expect_size=\"44558336\"] \n  23 -> 24 [size =\"44558336\"]\n  24 [size=\"58052608\", alpha=\"0.02\", expect_size=\"29026304\"] \n  24 -> 25 [size =\"29026304\"]\n  25 [size=\"77465600\", alpha=\"0.10\", expect_size=\"38732800\"] \n  25 -> 26 [size =\"38732800\"]\n  26 [size=\"37500928\", alpha=\"0.14\", expect_size=\"18750464\"] \n  26 -> 27 [size =\"18750464\"]\n  27 [size=\"90445824\", alpha=\"0.15\", expect_size=\"45222912\"] \n  27 -> 28 [size =\"45222912\"]\n  28 [size=\"94537728\", alpha=\"0.10\", expect_size=\"47268864\"] \n  28 -> 29 [size =\"47268864\"]\n  29 [size=\"26677248\", alpha=\"0.12\", expect_size=\"13338624\"] \n  29 -> 30 [size =\"13338624\"]\n  30 [size=\"30345216\", alpha=\"0.01\", expect_size=\"15172608\"] \n  30 -> 31 [size =\"15172608\"]\n  31 [size=\"31821824\", alpha=\"0.03\", expect_size=\"15910912\"] \n  31 -> 32 [size =\"15910912\"]\n  32 [size=\"100352000\", alpha=\"0.11\", expect_size=\"50176000\"] \n  32 -> 33 [size =\"50176000\"]\n  33 [size=\"25212928\", alpha=\"0.05\", expect_size=\"12606464\"] \n  33 -> 34 [size =\"12606464\"]\n  34 [size=\"50528256\", alpha=\"0.20\", expect_size=\"25264128\"] \n  34 -> 35 [size =\"25264128\"]\n  35 [size=\"60958720\", alpha=\"0.02\", expect_size=\"30479360\"] \n  35 -> 36 [size =\"30479360\"]\n  36 [size=\"11663360\", alpha=\"0.10\", expect_size=\"5831680\"] \n  36 -> 37 [size =\"5831680\"]\n  37 [size=\"75929600\", alpha=\"0.00\", expect_size=\"37964800\"] \n  37 -> 38 [size =\"37964800\"]\n  38 [size=\"53970944\", alpha=\"0.19\", expect_size=\"26985472\"] \n  38 -> 39 [size =\"26985472\"]\n  39 [size=\"103346176\", alpha=\"0.05\", expect_size=\"51673088\"] \n  39 -> 40 [size =\"51673088\"]\n  40 [size=\"63807488\", alpha=\"0.07\", expect_size=\"31903744\"] \n  40 -> 41 [size =\"31903744\"]\n  41 [size=\"69640192\", alpha=\"0.02\", expect_size=\"34820096\"] \n  41 -> 42 [size =\"34820096\"]\n  42 [size=\"84228096\", alpha=\"0.19\", expect_size=\"42114048\"] \n  42 -> 43 [size =\"42114048\"]\n  43 [size=\"43474944\", alpha=\"0.12\", expect_size=\"21737472\"] \n  43 -> 44 [size =\"21737472\"]\n  44 [size=\"65341440\", alpha=\"0.16\", expect_size=\"32670720\"] \n  44 -> 45 [size =\"32670720\"]\n  45 [size=\"63367168\", alpha=\"0.13\", expect_size=\"31683584\"] \n  45 -> 46 [size =\"31683584\"]\n  46 [size=\"73490432\", alpha=\"0.17\", expect_size=\"36745216\"] \n  46 -> 47 [size =\"36745216\"]\n  47 [size=\"27037696\", alpha=\"0.17\", expect_size=\"13518848\"] \n  47 -> 48 [size =\"13518848\"]\n  48 [size=\"28991488\", alpha=\"0.15\", expect_size=\"14495744\"] \n  48 -> 49 [size =\"14495744\"]\n  49 [size=\"25597952\", alpha=\"0.16\", expect_size=\"12798976\"] \n  49 -> 50 [size =\"12798976\"]\n  50 [size=\"47822848\", alpha=\"0.02\", expect_size=\"23911424\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.87.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.7 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"88693760\", alpha=\"0.09\", expect_size=\"35477504\"] \n  1 -> 18 [size =\"35477504\"]\n  1 -> 20 [size =\"35477504\"]\n  1 -> 22 [size =\"35477504\"]\n  1 -> 23 [size =\"35477504\"]\n  1 -> 24 [size =\"35477504\"]\n  1 -> 26 [size =\"35477504\"]\n  1 -> 27 [size =\"35477504\"]\n  1 -> 31 [size =\"35477504\"]\n  2 [size=\"68303360\", alpha=\"0.08\", expect_size=\"27321344\"] \n  2 -> 18 [size =\"27321344\"]\n  2 -> 22 [size =\"27321344\"]\n  2 -> 23 [size =\"27321344\"]\n  2 -> 23 [size =\"27321344\"]\n  2 -> 26 [size =\"27321344\"]\n  2 -> 27 [size =\"27321344\"]\n  2 -> 28 [size =\"27321344\"]\n  2 -> 31 [size =\"27321344\"]\n  3 [size=\"103772160\", alpha=\"0.03\", expect_size=\"41508864\"] \n  3 -> 18 [size =\"41508864\"]\n  3 -> 21 [size =\"41508864\"]\n  3 -> 23 [size =\"41508864\"]\n  3 -> 31 [size =\"41508864\"]\n  3 -> 32 [size =\"41508864\"]\n  4 [size=\"55480320\", alpha=\"0.08\", expect_size=\"22192128\"] \n  4 -> 18 [size =\"22192128\"]\n  4 -> 22 [size =\"22192128\"]\n  4 -> 23 [size =\"22192128\"]\n  4 -> 27 [size =\"22192128\"]\n  4 -> 31 [size =\"22192128\"]\n  4 -> 32 [size =\"22192128\"]\n  5 [size=\"77998080\", alpha=\"0.09\", expect_size=\"31199232\"] \n  5 -> 18 [size =\"31199232\"]\n  5 -> 22 [size =\"31199232\"]\n  5 -> 27 [size =\"31199232\"]\n  5 -> 30 [size =\"31199232\"]\n  5 -> 31 [size =\"31199232\"]\n  5 -> 32 [size =\"31199232\"]\n  6 [size=\"110376960\", alpha=\"0.12\", expect_size=\"44150784\"] \n  6 -> 18 [size =\"44150784\"]\n  6 -> 21 [size =\"44150784\"]\n  6 -> 27 [size =\"44150784\"]\n  6 -> 29 [size =\"44150784\"]\n  6 -> 30 [size =\"44150784\"]\n  6 -> 31 [size =\"44150784\"]\n  6 -> 32 [size =\"44150784\"]\n  7 [size=\"121871360\", alpha=\"0.03\", expect_size=\"48748544\"] \n  7 -> 19 [size =\"48748544\"]\n  7 -> 20 [size =\"48748544\"]\n  7 -> 26 [size =\"48748544\"]\n  7 -> 27 [size =\"48748544\"]\n  7 -> 28 [size =\"48748544\"]\n  7 -> 29 [size =\"48748544\"]\n  7 -> 30 [size =\"48748544\"]\n  7 -> 32 [size =\"48748544\"]\n  8 [size=\"43545600\", alpha=\"0.06\", expect_size=\"17418240\"] \n  8 -> 18 [size =\"17418240\"]\n  8 -> 19 [size =\"17418240\"]\n  8 -> 24 [size =\"17418240\"]\n  8 -> 32 [size =\"17418240\"]\n  9 [size=\"113559040\", alpha=\"0.14\", expect_size=\"45423616\"] \n  9 -> 18 [size =\"45423616\"]\n  9 -> 22 [size =\"45423616\"]\n  9 -> 30 [size =\"45423616\"]\n  9 -> 31 [size =\"45423616\"]\n  9 -> 32 [size =\"45423616\"]\n  10 [size=\"86213120\", alpha=\"0.18\", expect_size=\"34485248\"] \n  10 -> 18 [size =\"34485248\"]\n  10 -> 22 [size =\"34485248\"]\n  10 -> 23 [size =\"34485248\"]\n  10 -> 26 [size =\"34485248\"]\n  10 -> 32 [size =\"34485248\"]\n  11 [size=\"109665280\", alpha=\"0.04\", expect_size=\"43866112\"] \n  11 -> 18 [size =\"43866112\"]\n  11 -> 22 [size =\"43866112\"]\n  11 -> 24 [size =\"43866112\"]\n  11 -> 27 [size =\"43866112\"]\n  11 -> 30 [size =\"43866112\"]\n  11 -> 31 [size =\"43866112\"]\n  12 [size=\"44925440\", alpha=\"0.17\", expect_size=\"17970176\"] \n  12 -> 18 [size =\"17970176\"]\n  12 -> 20 [size =\"17970176\"]\n  12 -> 24 [size =\"17970176\"]\n  12 -> 25 [size =\"17970176\"]\n  12 -> 27 [size =\"17970176\"]\n  12 -> 30 [size =\"17970176\"]\n  12 -> 31 [size =\"17970176\"]\n  12 -> 32 [size =\"17970176\"]\n  13 [size=\"92298240\", alpha=\"0.15\", expect_size=\"36919296\"] \n  13 -> 22 [size =\"36919296\"]\n  13 -> 27 [size =\"36919296\"]\n  13 -> 30 [size =\"36919296\"]\n  13 -> 31 [size =\"36919296\"]\n  14 [size=\"108810240\", alpha=\"0.06\", expect_size=\"43524096\"] \n  14 -> 19 [size =\"43524096\"]\n  14 -> 21 [size =\"43524096\"]\n  14 -> 22 [size =\"43524096\"]\n  14 -> 23 [size =\"43524096\"]\n  15 [size=\"37811200\", alpha=\"0.18\", expect_size=\"15124480\"] \n  15 -> 19 [size =\"15124480\"]\n  15 -> 22 [size =\"15124480\"]\n  15 -> 22 [size =\"15124480\"]\n  15 -> 23 [size =\"15124480\"]\n  16 [size=\"90114560\", alpha=\"0.11\", expect_size=\"36045824\"] \n  16 -> 19 [size =\"36045824\"]\n  16 -> 21 [size =\"36045824\"]\n  16 -> 23 [size =\"36045824\"]\n  16 -> 24 [size =\"36045824\"]\n  16 -> 25 [size =\"36045824\"]\n  16 -> 31 [size =\"36045824\"]\n  16 -> 32 [size =\"36045824\"]\n  17 [size=\"44771840\", alpha=\"0.06\", expect_size=\"17908736\"] \n  17 -> 23 [size =\"17908736\"]\n  17 -> 26 [size =\"17908736\"]\n  17 -> 31 [size =\"17908736\"]\n  17 -> 32 [size =\"17908736\"]\n  18 [size=\"64266240\", alpha=\"0.18\", expect_size=\"25706496\"] \n  18 -> 33 [size =\"25706496\"]\n  18 -> 38 [size =\"25706496\"]\n  18 -> 39 [size =\"25706496\"]\n  18 -> 40 [size =\"25706496\"]\n  19 [size=\"97205760\", alpha=\"0.12\", expect_size=\"38882304\"] \n  19 -> 40 [size =\"38882304\"]\n  19 -> 41 [size =\"38882304\"]\n  19 -> 44 [size =\"38882304\"]\n  20 [size=\"59043840\", alpha=\"0.17\", expect_size=\"23617536\"] \n  20 -> 37 [size =\"23617536\"]\n  20 -> 38 [size =\"23617536\"]\n  20 -> 39 [size =\"23617536\"]\n  20 -> 40 [size =\"23617536\"]\n  20 -> 41 [size =\"23617536\"]\n  20 -> 44 [size =\"23617536\"]\n  21 [size=\"48453120\", alpha=\"0.16\", expect_size=\"19381248\"] \n  21 -> 35 [size =\"19381248\"]\n  21 -> 38 [size =\"19381248\"]\n  21 -> 41 [size =\"19381248\"]\n  21 -> 42 [size =\"19381248\"]\n  22 [size=\"72366080\", alpha=\"0.03\", expect_size=\"28946432\"] \n  22 -> 33 [size =\"28946432\"]\n  22 -> 40 [size =\"28946432\"]\n  22 -> 44 [size =\"28946432\"]\n  23 [size=\"53350400\", alpha=\"0.06\", expect_size=\"21340160\"] \n  23 -> 39 [size =\"21340160\"]\n  23 -> 42 [size =\"21340160\"]\n  23 -> 44 [size =\"21340160\"]\n  24 [size=\"25026560\", alpha=\"0.16\", expect_size=\"10010624\"] \n  24 -> 34 [size =\"10010624\"]\n  24 -> 39 [size =\"10010624\"]\n  24 -> 41 [size =\"10010624\"]\n  25 [size=\"59310080\", alpha=\"0.17\", expect_size=\"23724032\"] \n  25 -> 37 [size =\"23724032\"]\n  25 -> 39 [size =\"23724032\"]\n  25 -> 41 [size =\"23724032\"]\n  25 -> 42 [size =\"23724032\"]\n  25 -> 44 [size =\"23724032\"]\n  26 [size=\"47833600\", alpha=\"0.15\", expect_size=\"19133440\"] \n  26 -> 33 [size =\"19133440\"]\n  26 -> 40 [size =\"19133440\"]\n  26 -> 41 [size =\"19133440\"]\n  26 -> 42 [size =\"19133440\"]\n  27 [size=\"110960640\", alpha=\"0.11\", expect_size=\"44384256\"] \n  27 -> 33 [size =\"44384256\"]\n  27 -> 34 [size =\"44384256\"]\n  27 -> 37 [size =\"44384256\"]\n  27 -> 39 [size =\"44384256\"]\n  27 -> 41 [size =\"44384256\"]\n  27 -> 42 [size =\"44384256\"]\n  28 [size=\"30274560\", alpha=\"0.12\", expect_size=\"12109824\"] \n  28 -> 39 [size =\"12109824\"]\n  28 -> 40 [size =\"12109824\"]\n  28 -> 41 [size =\"12109824\"]\n  28 -> 42 [size =\"12109824\"]\n  29 [size=\"15989760\", alpha=\"0.10\", expect_size=\"6395904\"] \n  29 -> 36 [size =\"6395904\"]\n  29 -> 37 [size =\"6395904\"]\n  29 -> 39 [size =\"6395904\"]\n  29 -> 41 [size =\"6395904\"]\n  29 -> 42 [size =\"6395904\"]\n  30 [size=\"86597120\", alpha=\"0.01\", expect_size=\"34638848\"] \n  30 -> 33 [size =\"34638848\"]\n  30 -> 34 [size =\"34638848\"]\n  30 -> 37 [size =\"34638848\"]\n  30 -> 38 [size =\"34638848\"]\n  30 -> 39 [size =\"34638848\"]\n  30 -> 42 [size =\"34638848\"]\n  31 [size=\"70981120\", alpha=\"0.08\", expect_size=\"28392448\"] \n  31 -> 33 [size =\"28392448\"]\n  31 -> 38 [size =\"28392448\"]\n  31 -> 39 [size =\"28392448\"]\n  31 -> 40 [size =\"28392448\"]\n  31 -> 41 [size =\"28392448\"]\n  31 -> 42 [size =\"28392448\"]\n  31 -> 44 [size =\"28392448\"]\n  32 [size=\"44728320\", alpha=\"0.00\", expect_size=\"17891328\"] \n  32 -> 33 [size =\"17891328\"]\n  32 -> 34 [size =\"17891328\"]\n  32 -> 36 [size =\"17891328\"]\n  32 -> 38 [size =\"17891328\"]\n  32 -> 39 [size =\"17891328\"]\n  32 -> 40 [size =\"17891328\"]\n  32 -> 41 [size =\"17891328\"]\n  32 -> 42 [size =\"17891328\"]\n  32 -> 43 [size =\"17891328\"]\n  32 -> 44 [size =\"17891328\"]\n  33 [size=\"63034880\", alpha=\"0.06\", expect_size=\"25213952\"] \n  33 -> 47 [size =\"25213952\"]\n  33 -> 48 [size =\"25213952\"]\n  33 -> 49 [size =\"25213952\"]\n  34 [size=\"98603520\", alpha=\"0.08\", expect_size=\"39441408\"] \n  34 -> 49 [size =\"39441408\"]\n  34 -> 50 [size =\"39441408\"]\n  35 [size=\"75845120\", alpha=\"0.14\", expect_size=\"30338048\"] \n  35 -> 47 [size =\"30338048\"]\n  35 -> 50 [size =\"30338048\"]\n  36 [size=\"59650560\", alpha=\"0.14\", expect_size=\"23860224\"] \n  36 -> 46 [size =\"23860224\"]\n  36 -> 50 [size =\"23860224\"]\n  37 [size=\"29329920\", alpha=\"0.18\", expect_size=\"11731968\"] \n  37 -> 47 [size =\"11731968\"]\n  37 -> 48 [size =\"11731968\"]\n  37 -> 49 [size =\"11731968\"]\n  38 [size=\"93647360\", alpha=\"0.12\", expect_size=\"37458944\"] \n  38 -> 46 [size =\"37458944\"]\n  38 -> 47 [size =\"37458944\"]\n  38 -> 49 [size =\"37458944\"]\n  39 [size=\"47114240\", alpha=\"0.19\", expect_size=\"18845696\"] \n  39 -> 46 [size =\"18845696\"]\n  39 -> 47 [size =\"18845696\"]\n  39 -> 48 [size =\"18845696\"]\n  39 -> 49 [size =\"18845696\"]\n  40 [size=\"108144640\", alpha=\"0.15\", expect_size=\"43257856\"] \n  40 -> 45 [size =\"43257856\"]\n  40 -> 49 [size =\"43257856\"]\n  41 [size=\"113917440\", alpha=\"0.16\", expect_size=\"45566976\"] \n  41 -> 47 [size =\"45566976\"]\n  41 -> 49 [size =\"45566976\"]\n  41 -> 50 [size =\"45566976\"]\n  42 [size=\"43028480\", alpha=\"0.08\", expect_size=\"17211392\"] \n  42 -> 45 [size =\"17211392\"]\n  42 -> 47 [size =\"17211392\"]\n  42 -> 49 [size =\"17211392\"]\n  42 -> 50 [size =\"17211392\"]\n  43 [size=\"45263360\", alpha=\"0.06\", expect_size=\"18105344\"] \n  43 -> 47 [size =\"18105344\"]\n  43 -> 49 [size =\"18105344\"]\n  43 -> 50 [size =\"18105344\"]\n  43 -> 50 [size =\"18105344\"]\n  44 [size=\"81845760\", alpha=\"0.06\", expect_size=\"32738304\"] \n  44 -> 47 [size =\"32738304\"]\n  44 -> 50 [size =\"32738304\"]\n  45 [size=\"130519040\", alpha=\"0.14\", expect_size=\"52207616\"] \n  46 [size=\"98019840\", alpha=\"0.08\", expect_size=\"39207936\"] \n  47 [size=\"61360640\", alpha=\"0.19\", expect_size=\"24544256\"] \n  48 [size=\"52200960\", alpha=\"0.12\", expect_size=\"20880384\"] \n  49 [size=\"121707520\", alpha=\"0.06\", expect_size=\"48683008\"] \n  50 [size=\"118044160\", alpha=\"0.13\", expect_size=\"47217664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.88.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.3 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40287573\", alpha=\"0.14\", expect_size=\"12086272\"] \n  1 -> 5 [size =\"12086272\"]\n  2 [size=\"68430507\", alpha=\"0.02\", expect_size=\"20529152\"] \n  2 -> 5 [size =\"20529152\"]\n  2 -> 6 [size =\"20529152\"]\n  3 [size=\"50879147\", alpha=\"0.03\", expect_size=\"15263744\"] \n  3 -> 6 [size =\"15263744\"]\n  3 -> 7 [size =\"15263744\"]\n  4 [size=\"22435840\", alpha=\"0.18\", expect_size=\"6730752\"] \n  4 -> 8 [size =\"6730752\"]\n  5 [size=\"19903147\", alpha=\"0.05\", expect_size=\"5970944\"] \n  5 -> 9 [size =\"5970944\"]\n  6 [size=\"151657813\", alpha=\"0.19\", expect_size=\"45497344\"] \n  6 -> 10 [size =\"45497344\"]\n  7 [size=\"21340160\", alpha=\"0.14\", expect_size=\"6402048\"] \n  8 [size=\"32139947\", alpha=\"0.09\", expect_size=\"9641984\"] \n  8 -> 10 [size =\"9641984\"]\n  9 [size=\"22661120\", alpha=\"0.09\", expect_size=\"6798336\"] \n  9 -> 11 [size =\"6798336\"]\n  9 -> 12 [size =\"6798336\"]\n  9 -> 13 [size =\"6798336\"]\n  10 [size=\"72000853\", alpha=\"0.12\", expect_size=\"21600256\"] \n  10 -> 14 [size =\"21600256\"]\n  11 [size=\"123156480\", alpha=\"0.07\", expect_size=\"36946944\"] \n  11 -> 15 [size =\"36946944\"]\n  12 [size=\"78854827\", alpha=\"0.07\", expect_size=\"23656448\"] \n  13 [size=\"97293653\", alpha=\"0.07\", expect_size=\"29188096\"] \n  14 [size=\"122651307\", alpha=\"0.04\", expect_size=\"36795392\"] \n  15 [size=\"106496000\", alpha=\"0.18\", expect_size=\"31948800\"] \n  15 -> 16 [size =\"31948800\"]\n  15 -> 17 [size =\"31948800\"]\n  15 -> 18 [size =\"31948800\"]\n  16 [size=\"143230293\", alpha=\"0.12\", expect_size=\"42969088\"] \n  16 -> 19 [size =\"42969088\"]\n  16 -> 20 [size =\"42969088\"]\n  17 [size=\"137625600\", alpha=\"0.18\", expect_size=\"41287680\"] \n  18 [size=\"91620693\", alpha=\"0.09\", expect_size=\"27486208\"] \n  19 [size=\"162048000\", alpha=\"0.19\", expect_size=\"48614400\"] \n  19 -> 22 [size =\"48614400\"]\n  20 [size=\"76523520\", alpha=\"0.08\", expect_size=\"22957056\"] \n  20 -> 21 [size =\"22957056\"]\n  20 -> 23 [size =\"22957056\"]\n  21 [size=\"169403733\", alpha=\"0.19\", expect_size=\"50821120\"] \n  21 -> 24 [size =\"50821120\"]\n  21 -> 25 [size =\"50821120\"]\n  21 -> 26 [size =\"50821120\"]\n  22 [size=\"68785493\", alpha=\"0.17\", expect_size=\"20635648\"] \n  22 -> 26 [size =\"20635648\"]\n  23 [size=\"127747413\", alpha=\"0.19\", expect_size=\"38324224\"] \n  24 [size=\"25105067\", alpha=\"0.02\", expect_size=\"7531520\"] \n  25 [size=\"53957973\", alpha=\"0.05\", expect_size=\"16187392\"] \n  26 [size=\"37188267\", alpha=\"0.06\", expect_size=\"11156480\"] \n  26 -> 27 [size =\"11156480\"]\n  27 [size=\"133184853\", alpha=\"0.06\", expect_size=\"39955456\"] \n  27 -> 28 [size =\"39955456\"]\n  27 -> 29 [size =\"39955456\"]\n  28 [size=\"114817707\", alpha=\"0.09\", expect_size=\"34445312\"] \n  28 -> 31 [size =\"34445312\"]\n  29 [size=\"26951680\", alpha=\"0.12\", expect_size=\"8085504\"] \n  29 -> 30 [size =\"8085504\"]\n  29 -> 32 [size =\"8085504\"]\n  30 [size=\"20619947\", alpha=\"0.02\", expect_size=\"6185984\"] \n  30 -> 35 [size =\"6185984\"]\n  31 [size=\"81735680\", alpha=\"0.06\", expect_size=\"24520704\"] \n  31 -> 34 [size =\"24520704\"]\n  32 [size=\"75827200\", alpha=\"0.17\", expect_size=\"22748160\"] \n  32 -> 33 [size =\"22748160\"]\n  32 -> 36 [size =\"22748160\"]\n  33 [size=\"53852160\", alpha=\"0.19\", expect_size=\"16155648\"] \n  33 -> 37 [size =\"16155648\"]\n  33 -> 39 [size =\"16155648\"]\n  33 -> 40 [size =\"16155648\"]\n  34 [size=\"49210027\", alpha=\"0.14\", expect_size=\"14763008\"] \n  34 -> 37 [size =\"14763008\"]\n  34 -> 39 [size =\"14763008\"]\n  34 -> 40 [size =\"14763008\"]\n  35 [size=\"66863787\", alpha=\"0.20\", expect_size=\"20059136\"] \n  36 [size=\"109240320\", alpha=\"0.02\", expect_size=\"32772096\"] \n  36 -> 38 [size =\"32772096\"]\n  37 [size=\"153234773\", alpha=\"0.20\", expect_size=\"45970432\"] \n  38 [size=\"45428053\", alpha=\"0.07\", expect_size=\"13628416\"] \n  39 [size=\"115060053\", alpha=\"0.12\", expect_size=\"34518016\"] \n  39 -> 41 [size =\"34518016\"]\n  40 [size=\"52742827\", alpha=\"0.05\", expect_size=\"15822848\"] \n  41 [size=\"70287360\", alpha=\"0.17\", expect_size=\"21086208\"] \n  41 -> 42 [size =\"21086208\"]\n  41 -> 43 [size =\"21086208\"]\n  42 [size=\"116090880\", alpha=\"0.16\", expect_size=\"34827264\"] \n  42 -> 44 [size =\"34827264\"]\n  42 -> 45 [size =\"34827264\"]\n  42 -> 46 [size =\"34827264\"]\n  42 -> 47 [size =\"34827264\"]\n  43 [size=\"94252373\", alpha=\"0.08\", expect_size=\"28275712\"] \n  44 [size=\"84582400\", alpha=\"0.02\", expect_size=\"25374720\"] \n  44 -> 48 [size =\"25374720\"]\n  45 [size=\"34979840\", alpha=\"0.00\", expect_size=\"10493952\"] \n  46 [size=\"34457600\", alpha=\"0.01\", expect_size=\"10337280\"] \n  47 [size=\"51486720\", alpha=\"0.17\", expect_size=\"15446016\"] \n  48 [size=\"48933547\", alpha=\"0.04\", expect_size=\"14680064\"] \n  48 -> 49 [size =\"14680064\"]\n  48 -> 50 [size =\"14680064\"]\n  49 [size=\"100942507\", alpha=\"0.14\", expect_size=\"30282752\"] \n  50 [size=\"37512533\", alpha=\"0.03\", expect_size=\"11253760\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.89.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.5 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"90001920\", alpha=\"0.05\", expect_size=\"36000768\"] \n  1 -> 10 [size =\"36000768\"]\n  1 -> 11 [size =\"36000768\"]\n  2 [size=\"108784640\", alpha=\"0.15\", expect_size=\"43513856\"] \n  2 -> 10 [size =\"43513856\"]\n  3 [size=\"80565760\", alpha=\"0.05\", expect_size=\"32226304\"] \n  3 -> 10 [size =\"32226304\"]\n  3 -> 11 [size =\"32226304\"]\n  4 [size=\"105502720\", alpha=\"0.14\", expect_size=\"42201088\"] \n  4 -> 10 [size =\"42201088\"]\n  5 [size=\"69736960\", alpha=\"0.07\", expect_size=\"27894784\"] \n  5 -> 9 [size =\"27894784\"]\n  5 -> 10 [size =\"27894784\"]\n  5 -> 11 [size =\"27894784\"]\n  6 [size=\"41784320\", alpha=\"0.02\", expect_size=\"16713728\"] \n  6 -> 10 [size =\"16713728\"]\n  7 [size=\"35182080\", alpha=\"0.12\", expect_size=\"14072832\"] \n  7 -> 10 [size =\"14072832\"]\n  7 -> 11 [size =\"14072832\"]\n  8 [size=\"99921920\", alpha=\"0.13\", expect_size=\"39968768\"] \n  8 -> 9 [size =\"39968768\"]\n  8 -> 11 [size =\"39968768\"]\n  8 -> 12 [size =\"39968768\"]\n  9 [size=\"65062400\", alpha=\"0.12\", expect_size=\"26024960\"] \n  9 -> 13 [size =\"26024960\"]\n  9 -> 16 [size =\"26024960\"]\n  9 -> 17 [size =\"26024960\"]\n  9 -> 18 [size =\"26024960\"]\n  9 -> 20 [size =\"26024960\"]\n  9 -> 21 [size =\"26024960\"]\n  9 -> 22 [size =\"26024960\"]\n  10 [size=\"63009280\", alpha=\"0.16\", expect_size=\"25203712\"] \n  10 -> 13 [size =\"25203712\"]\n  10 -> 15 [size =\"25203712\"]\n  10 -> 16 [size =\"25203712\"]\n  10 -> 17 [size =\"25203712\"]\n  10 -> 18 [size =\"25203712\"]\n  10 -> 20 [size =\"25203712\"]\n  10 -> 21 [size =\"25203712\"]\n  10 -> 22 [size =\"25203712\"]\n  11 [size=\"51128320\", alpha=\"0.13\", expect_size=\"20451328\"] \n  11 -> 13 [size =\"20451328\"]\n  11 -> 14 [size =\"20451328\"]\n  11 -> 16 [size =\"20451328\"]\n  11 -> 18 [size =\"20451328\"]\n  11 -> 20 [size =\"20451328\"]\n  12 [size=\"80038400\", alpha=\"0.04\", expect_size=\"32015360\"] \n  12 -> 13 [size =\"32015360\"]\n  12 -> 15 [size =\"32015360\"]\n  12 -> 16 [size =\"32015360\"]\n  12 -> 18 [size =\"32015360\"]\n  12 -> 19 [size =\"32015360\"]\n  12 -> 20 [size =\"32015360\"]\n  12 -> 21 [size =\"32015360\"]\n  13 [size=\"50664960\", alpha=\"0.14\", expect_size=\"20265984\"] \n  13 -> 24 [size =\"20265984\"]\n  13 -> 30 [size =\"20265984\"]\n  13 -> 30 [size =\"20265984\"]\n  13 -> 31 [size =\"20265984\"]\n  14 [size=\"79400960\", alpha=\"0.18\", expect_size=\"31760384\"] \n  14 -> 26 [size =\"31760384\"]\n  14 -> 27 [size =\"31760384\"]\n  14 -> 29 [size =\"31760384\"]\n  14 -> 31 [size =\"31760384\"]\n  15 [size=\"46927360\", alpha=\"0.17\", expect_size=\"18770944\"] \n  15 -> 24 [size =\"18770944\"]\n  15 -> 26 [size =\"18770944\"]\n  15 -> 27 [size =\"18770944\"]\n  15 -> 29 [size =\"18770944\"]\n  15 -> 31 [size =\"18770944\"]\n  15 -> 32 [size =\"18770944\"]\n  16 [size=\"87365120\", alpha=\"0.12\", expect_size=\"34946048\"] \n  16 -> 25 [size =\"34946048\"]\n  16 -> 26 [size =\"34946048\"]\n  16 -> 27 [size =\"34946048\"]\n  16 -> 29 [size =\"34946048\"]\n  16 -> 30 [size =\"34946048\"]\n  17 [size=\"98680320\", alpha=\"0.00\", expect_size=\"39472128\"] \n  17 -> 24 [size =\"39472128\"]\n  17 -> 25 [size =\"39472128\"]\n  17 -> 26 [size =\"39472128\"]\n  17 -> 29 [size =\"39472128\"]\n  17 -> 30 [size =\"39472128\"]\n  18 [size=\"48650240\", alpha=\"0.10\", expect_size=\"19460096\"] \n  18 -> 24 [size =\"19460096\"]\n  18 -> 25 [size =\"19460096\"]\n  18 -> 27 [size =\"19460096\"]\n  18 -> 29 [size =\"19460096\"]\n  18 -> 30 [size =\"19460096\"]\n  18 -> 31 [size =\"19460096\"]\n  18 -> 32 [size =\"19460096\"]\n  19 [size=\"126269440\", alpha=\"0.04\", expect_size=\"50507776\"] \n  19 -> 23 [size =\"50507776\"]\n  19 -> 26 [size =\"50507776\"]\n  19 -> 27 [size =\"50507776\"]\n  19 -> 28 [size =\"50507776\"]\n  19 -> 29 [size =\"50507776\"]\n  19 -> 30 [size =\"50507776\"]\n  19 -> 31 [size =\"50507776\"]\n  20 [size=\"79720960\", alpha=\"0.06\", expect_size=\"31888384\"] \n  20 -> 23 [size =\"31888384\"]\n  20 -> 26 [size =\"31888384\"]\n  20 -> 27 [size =\"31888384\"]\n  20 -> 29 [size =\"31888384\"]\n  20 -> 30 [size =\"31888384\"]\n  20 -> 30 [size =\"31888384\"]\n  21 [size=\"54341120\", alpha=\"0.00\", expect_size=\"21736448\"] \n  21 -> 23 [size =\"21736448\"]\n  21 -> 26 [size =\"21736448\"]\n  21 -> 29 [size =\"21736448\"]\n  22 [size=\"130693120\", alpha=\"0.11\", expect_size=\"52277248\"] \n  22 -> 23 [size =\"52277248\"]\n  22 -> 26 [size =\"52277248\"]\n  22 -> 30 [size =\"52277248\"]\n  23 [size=\"38807040\", alpha=\"0.13\", expect_size=\"15522816\"] \n  23 -> 33 [size =\"15522816\"]\n  23 -> 35 [size =\"15522816\"]\n  24 [size=\"124257280\", alpha=\"0.11\", expect_size=\"49702912\"] \n  24 -> 33 [size =\"49702912\"]\n  24 -> 35 [size =\"49702912\"]\n  24 -> 36 [size =\"49702912\"]\n  24 -> 37 [size =\"49702912\"]\n  25 [size=\"112550400\", alpha=\"0.18\", expect_size=\"45020160\"] \n  25 -> 34 [size =\"45020160\"]\n  25 -> 35 [size =\"45020160\"]\n  25 -> 38 [size =\"45020160\"]\n  26 [size=\"92643840\", alpha=\"0.11\", expect_size=\"37057536\"] \n  26 -> 33 [size =\"37057536\"]\n  26 -> 35 [size =\"37057536\"]\n  26 -> 37 [size =\"37057536\"]\n  26 -> 38 [size =\"37057536\"]\n  27 [size=\"46264320\", alpha=\"0.07\", expect_size=\"18505728\"] \n  27 -> 33 [size =\"18505728\"]\n  27 -> 35 [size =\"18505728\"]\n  27 -> 37 [size =\"18505728\"]\n  27 -> 38 [size =\"18505728\"]\n  28 [size=\"48729600\", alpha=\"0.17\", expect_size=\"19491840\"] \n  28 -> 33 [size =\"19491840\"]\n  28 -> 38 [size =\"19491840\"]\n  29 [size=\"108920320\", alpha=\"0.17\", expect_size=\"43568128\"] \n  29 -> 33 [size =\"43568128\"]\n  29 -> 35 [size =\"43568128\"]\n  29 -> 36 [size =\"43568128\"]\n  30 [size=\"15024640\", alpha=\"0.05\", expect_size=\"6009856\"] \n  30 -> 33 [size =\"6009856\"]\n  30 -> 35 [size =\"6009856\"]\n  30 -> 37 [size =\"6009856\"]\n  31 [size=\"47805440\", alpha=\"0.19\", expect_size=\"19122176\"] \n  31 -> 33 [size =\"19122176\"]\n  31 -> 35 [size =\"19122176\"]\n  31 -> 37 [size =\"19122176\"]\n  31 -> 38 [size =\"19122176\"]\n  32 [size=\"48227840\", alpha=\"0.05\", expect_size=\"19291136\"] \n  32 -> 33 [size =\"19291136\"]\n  32 -> 35 [size =\"19291136\"]\n  33 [size=\"111971840\", alpha=\"0.17\", expect_size=\"44788736\"] \n  33 -> 39 [size =\"44788736\"]\n  33 -> 41 [size =\"44788736\"]\n  33 -> 42 [size =\"44788736\"]\n  34 [size=\"70566400\", alpha=\"0.01\", expect_size=\"28226560\"] \n  34 -> 39 [size =\"28226560\"]\n  34 -> 41 [size =\"28226560\"]\n  35 [size=\"16412160\", alpha=\"0.10\", expect_size=\"6564864\"] \n  35 -> 39 [size =\"6564864\"]\n  35 -> 40 [size =\"6564864\"]\n  35 -> 41 [size =\"6564864\"]\n  36 [size=\"124098560\", alpha=\"0.12\", expect_size=\"49639424\"] \n  36 -> 39 [size =\"49639424\"]\n  36 -> 40 [size =\"49639424\"]\n  36 -> 41 [size =\"49639424\"]\n  37 [size=\"68418560\", alpha=\"0.08\", expect_size=\"27367424\"] \n  37 -> 39 [size =\"27367424\"]\n  37 -> 40 [size =\"27367424\"]\n  37 -> 41 [size =\"27367424\"]\n  38 [size=\"107371520\", alpha=\"0.10\", expect_size=\"42948608\"] \n  38 -> 39 [size =\"42948608\"]\n  38 -> 41 [size =\"42948608\"]\n  39 [size=\"91847680\", alpha=\"0.12\", expect_size=\"36739072\"] \n  39 -> 43 [size =\"36739072\"]\n  39 -> 45 [size =\"36739072\"]\n  39 -> 46 [size =\"36739072\"]\n  39 -> 47 [size =\"36739072\"]\n  39 -> 48 [size =\"36739072\"]\n  39 -> 49 [size =\"36739072\"]\n  39 -> 50 [size =\"36739072\"]\n  40 [size=\"73799680\", alpha=\"0.05\", expect_size=\"29519872\"] \n  40 -> 43 [size =\"29519872\"]\n  40 -> 44 [size =\"29519872\"]\n  40 -> 45 [size =\"29519872\"]\n  40 -> 46 [size =\"29519872\"]\n  40 -> 47 [size =\"29519872\"]\n  40 -> 48 [size =\"29519872\"]\n  41 [size=\"103137280\", alpha=\"0.04\", expect_size=\"41254912\"] \n  41 -> 43 [size =\"41254912\"]\n  41 -> 45 [size =\"41254912\"]\n  41 -> 46 [size =\"41254912\"]\n  41 -> 47 [size =\"41254912\"]\n  41 -> 49 [size =\"41254912\"]\n  41 -> 50 [size =\"41254912\"]\n  42 [size=\"99911680\", alpha=\"0.04\", expect_size=\"39964672\"] \n  42 -> 43 [size =\"39964672\"]\n  42 -> 44 [size =\"39964672\"]\n  42 -> 46 [size =\"39964672\"]\n  42 -> 47 [size =\"39964672\"]\n  42 -> 50 [size =\"39964672\"]\n  43 [size=\"131059200\", alpha=\"0.08\", expect_size=\"52423680\"] \n  44 [size=\"116172800\", alpha=\"0.11\", expect_size=\"46469120\"] \n  45 [size=\"121546240\", alpha=\"0.11\", expect_size=\"48618496\"] \n  46 [size=\"63042560\", alpha=\"0.04\", expect_size=\"25217024\"] \n  47 [size=\"14917120\", alpha=\"0.03\", expect_size=\"5966848\"] \n  48 [size=\"62748160\", alpha=\"0.08\", expect_size=\"25099264\"] \n  49 [size=\"124113920\", alpha=\"0.09\", expect_size=\"49645568\"] \n  50 [size=\"76247040\", alpha=\"0.11\", expect_size=\"30498816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.9.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"164160853\", alpha=\"0.13\", expect_size=\"49248256\"] \n  1 -> 17 [size =\"49248256\"]\n  1 -> 18 [size =\"49248256\"]\n  1 -> 21 [size =\"49248256\"]\n  1 -> 21 [size =\"49248256\"]\n  1 -> 23 [size =\"49248256\"]\n  1 -> 24 [size =\"49248256\"]\n  1 -> 26 [size =\"49248256\"]\n  1 -> 27 [size =\"49248256\"]\n  1 -> 29 [size =\"49248256\"]\n  2 [size=\"87405227\", alpha=\"0.04\", expect_size=\"26221568\"] \n  2 -> 19 [size =\"26221568\"]\n  2 -> 20 [size =\"26221568\"]\n  2 -> 21 [size =\"26221568\"]\n  2 -> 22 [size =\"26221568\"]\n  2 -> 26 [size =\"26221568\"]\n  2 -> 28 [size =\"26221568\"]\n  3 [size=\"142042453\", alpha=\"0.11\", expect_size=\"42612736\"] \n  3 -> 19 [size =\"42612736\"]\n  3 -> 21 [size =\"42612736\"]\n  3 -> 23 [size =\"42612736\"]\n  3 -> 26 [size =\"42612736\"]\n  3 -> 28 [size =\"42612736\"]\n  4 [size=\"61846187\", alpha=\"0.04\", expect_size=\"18553856\"] \n  4 -> 18 [size =\"18553856\"]\n  4 -> 19 [size =\"18553856\"]\n  4 -> 22 [size =\"18553856\"]\n  4 -> 23 [size =\"18553856\"]\n  4 -> 26 [size =\"18553856\"]\n  4 -> 27 [size =\"18553856\"]\n  4 -> 29 [size =\"18553856\"]\n  5 [size=\"51623253\", alpha=\"0.16\", expect_size=\"15486976\"] \n  5 -> 17 [size =\"15486976\"]\n  5 -> 19 [size =\"15486976\"]\n  5 -> 22 [size =\"15486976\"]\n  5 -> 23 [size =\"15486976\"]\n  5 -> 25 [size =\"15486976\"]\n  5 -> 27 [size =\"15486976\"]\n  5 -> 29 [size =\"15486976\"]\n  6 [size=\"107448320\", alpha=\"0.13\", expect_size=\"32234496\"] \n  6 -> 18 [size =\"32234496\"]\n  6 -> 20 [size =\"32234496\"]\n  6 -> 23 [size =\"32234496\"]\n  6 -> 26 [size =\"32234496\"]\n  6 -> 27 [size =\"32234496\"]\n  6 -> 29 [size =\"32234496\"]\n  7 [size=\"139161600\", alpha=\"0.16\", expect_size=\"41748480\"] \n  7 -> 18 [size =\"41748480\"]\n  7 -> 22 [size =\"41748480\"]\n  7 -> 23 [size =\"41748480\"]\n  7 -> 26 [size =\"41748480\"]\n  7 -> 27 [size =\"41748480\"]\n  7 -> 29 [size =\"41748480\"]\n  8 [size=\"170475520\", alpha=\"0.05\", expect_size=\"51142656\"] \n  8 -> 18 [size =\"51142656\"]\n  8 -> 19 [size =\"51142656\"]\n  8 -> 21 [size =\"51142656\"]\n  8 -> 23 [size =\"51142656\"]\n  8 -> 24 [size =\"51142656\"]\n  8 -> 26 [size =\"51142656\"]\n  9 [size=\"80339627\", alpha=\"0.11\", expect_size=\"24101888\"] \n  9 -> 18 [size =\"24101888\"]\n  9 -> 19 [size =\"24101888\"]\n  9 -> 22 [size =\"24101888\"]\n  9 -> 23 [size =\"24101888\"]\n  9 -> 24 [size =\"24101888\"]\n  9 -> 26 [size =\"24101888\"]\n  9 -> 28 [size =\"24101888\"]\n  10 [size=\"58439680\", alpha=\"0.01\", expect_size=\"17531904\"] \n  10 -> 18 [size =\"17531904\"]\n  10 -> 19 [size =\"17531904\"]\n  10 -> 21 [size =\"17531904\"]\n  10 -> 22 [size =\"17531904\"]\n  11 [size=\"99584000\", alpha=\"0.18\", expect_size=\"29875200\"] \n  11 -> 18 [size =\"29875200\"]\n  11 -> 19 [size =\"29875200\"]\n  11 -> 20 [size =\"29875200\"]\n  11 -> 22 [size =\"29875200\"]\n  11 -> 23 [size =\"29875200\"]\n  12 [size=\"41594880\", alpha=\"0.07\", expect_size=\"12478464\"] \n  12 -> 20 [size =\"12478464\"]\n  12 -> 22 [size =\"12478464\"]\n  12 -> 23 [size =\"12478464\"]\n  12 -> 28 [size =\"12478464\"]\n  13 [size=\"71703893\", alpha=\"0.11\", expect_size=\"21511168\"] \n  13 -> 18 [size =\"21511168\"]\n  13 -> 23 [size =\"21511168\"]\n  13 -> 26 [size =\"21511168\"]\n  13 -> 27 [size =\"21511168\"]\n  14 [size=\"155569493\", alpha=\"0.07\", expect_size=\"46670848\"] \n  14 -> 18 [size =\"46670848\"]\n  14 -> 19 [size =\"46670848\"]\n  14 -> 21 [size =\"46670848\"]\n  14 -> 22 [size =\"46670848\"]\n  14 -> 28 [size =\"46670848\"]\n  15 [size=\"28286293\", alpha=\"0.05\", expect_size=\"8485888\"] \n  15 -> 18 [size =\"8485888\"]\n  15 -> 20 [size =\"8485888\"]\n  15 -> 21 [size =\"8485888\"]\n  15 -> 26 [size =\"8485888\"]\n  16 [size=\"152337067\", alpha=\"0.12\", expect_size=\"45701120\"] \n  16 -> 18 [size =\"45701120\"]\n  16 -> 19 [size =\"45701120\"]\n  16 -> 20 [size =\"45701120\"]\n  16 -> 21 [size =\"45701120\"]\n  16 -> 23 [size =\"45701120\"]\n  16 -> 24 [size =\"45701120\"]\n  16 -> 26 [size =\"45701120\"]\n  16 -> 28 [size =\"45701120\"]\n  17 [size=\"94952107\", alpha=\"0.09\", expect_size=\"28485632\"] \n  17 -> 31 [size =\"28485632\"]\n  17 -> 32 [size =\"28485632\"]\n  17 -> 33 [size =\"28485632\"]\n  17 -> 34 [size =\"28485632\"]\n  17 -> 37 [size =\"28485632\"]\n  17 -> 39 [size =\"28485632\"]\n  17 -> 44 [size =\"28485632\"]\n  18 [size=\"66655573\", alpha=\"0.06\", expect_size=\"19996672\"] \n  18 -> 31 [size =\"19996672\"]\n  18 -> 34 [size =\"19996672\"]\n  18 -> 39 [size =\"19996672\"]\n  18 -> 43 [size =\"19996672\"]\n  19 [size=\"105373013\", alpha=\"0.01\", expect_size=\"31611904\"] \n  19 -> 31 [size =\"31611904\"]\n  19 -> 33 [size =\"31611904\"]\n  19 -> 34 [size =\"31611904\"]\n  19 -> 36 [size =\"31611904\"]\n  19 -> 37 [size =\"31611904\"]\n  19 -> 39 [size =\"31611904\"]\n  19 -> 41 [size =\"31611904\"]\n  19 -> 42 [size =\"31611904\"]\n  20 [size=\"32409600\", alpha=\"0.18\", expect_size=\"9722880\"] \n  20 -> 33 [size =\"9722880\"]\n  20 -> 35 [size =\"9722880\"]\n  20 -> 37 [size =\"9722880\"]\n  20 -> 39 [size =\"9722880\"]\n  20 -> 41 [size =\"9722880\"]\n  20 -> 42 [size =\"9722880\"]\n  20 -> 43 [size =\"9722880\"]\n  21 [size=\"41110187\", alpha=\"0.14\", expect_size=\"12333056\"] \n  21 -> 31 [size =\"12333056\"]\n  21 -> 33 [size =\"12333056\"]\n  21 -> 34 [size =\"12333056\"]\n  21 -> 36 [size =\"12333056\"]\n  21 -> 39 [size =\"12333056\"]\n  21 -> 41 [size =\"12333056\"]\n  21 -> 42 [size =\"12333056\"]\n  22 [size=\"24999253\", alpha=\"0.19\", expect_size=\"7499776\"] \n  22 -> 30 [size =\"7499776\"]\n  22 -> 31 [size =\"7499776\"]\n  22 -> 32 [size =\"7499776\"]\n  22 -> 33 [size =\"7499776\"]\n  22 -> 35 [size =\"7499776\"]\n  22 -> 37 [size =\"7499776\"]\n  22 -> 39 [size =\"7499776\"]\n  22 -> 40 [size =\"7499776\"]\n  22 -> 44 [size =\"7499776\"]\n  23 [size=\"83889493\", alpha=\"0.19\", expect_size=\"25166848\"] \n  23 -> 31 [size =\"25166848\"]\n  23 -> 31 [size =\"25166848\"]\n  23 -> 32 [size =\"25166848\"]\n  23 -> 33 [size =\"25166848\"]\n  23 -> 34 [size =\"25166848\"]\n  23 -> 35 [size =\"25166848\"]\n  23 -> 37 [size =\"25166848\"]\n  23 -> 39 [size =\"25166848\"]\n  23 -> 44 [size =\"25166848\"]\n  24 [size=\"168157867\", alpha=\"0.06\", expect_size=\"50447360\"] \n  24 -> 31 [size =\"50447360\"]\n  24 -> 33 [size =\"50447360\"]\n  24 -> 36 [size =\"50447360\"]\n  24 -> 37 [size =\"50447360\"]\n  24 -> 39 [size =\"50447360\"]\n  24 -> 41 [size =\"50447360\"]\n  24 -> 42 [size =\"50447360\"]\n  24 -> 44 [size =\"50447360\"]\n  24 -> 44 [size =\"50447360\"]\n  25 [size=\"69249707\", alpha=\"0.16\", expect_size=\"20774912\"] \n  25 -> 31 [size =\"20774912\"]\n  25 -> 32 [size =\"20774912\"]\n  25 -> 33 [size =\"20774912\"]\n  25 -> 36 [size =\"20774912\"]\n  25 -> 37 [size =\"20774912\"]\n  25 -> 39 [size =\"20774912\"]\n  25 -> 40 [size =\"20774912\"]\n  25 -> 41 [size =\"20774912\"]\n  25 -> 42 [size =\"20774912\"]\n  25 -> 43 [size =\"20774912\"]\n  26 [size=\"108748800\", alpha=\"0.18\", expect_size=\"32624640\"] \n  26 -> 30 [size =\"32624640\"]\n  26 -> 31 [size =\"32624640\"]\n  26 -> 32 [size =\"32624640\"]\n  26 -> 34 [size =\"32624640\"]\n  26 -> 35 [size =\"32624640\"]\n  26 -> 39 [size =\"32624640\"]\n  26 -> 40 [size =\"32624640\"]\n  26 -> 41 [size =\"32624640\"]\n  26 -> 42 [size =\"32624640\"]\n  26 -> 43 [size =\"32624640\"]\n  27 [size=\"43871573\", alpha=\"0.16\", expect_size=\"13161472\"] \n  27 -> 31 [size =\"13161472\"]\n  27 -> 32 [size =\"13161472\"]\n  27 -> 32 [size =\"13161472\"]\n  27 -> 33 [size =\"13161472\"]\n  27 -> 35 [size =\"13161472\"]\n  27 -> 37 [size =\"13161472\"]\n  27 -> 41 [size =\"13161472\"]\n  27 -> 41 [size =\"13161472\"]\n  27 -> 42 [size =\"13161472\"]\n  27 -> 43 [size =\"13161472\"]\n  28 [size=\"116971520\", alpha=\"0.13\", expect_size=\"35091456\"] \n  28 -> 32 [size =\"35091456\"]\n  28 -> 32 [size =\"35091456\"]\n  28 -> 35 [size =\"35091456\"]\n  28 -> 37 [size =\"35091456\"]\n  28 -> 38 [size =\"35091456\"]\n  28 -> 39 [size =\"35091456\"]\n  28 -> 42 [size =\"35091456\"]\n  28 -> 43 [size =\"35091456\"]\n  29 [size=\"163263147\", alpha=\"0.17\", expect_size=\"48978944\"] \n  29 -> 31 [size =\"48978944\"]\n  29 -> 32 [size =\"48978944\"]\n  29 -> 33 [size =\"48978944\"]\n  29 -> 35 [size =\"48978944\"]\n  29 -> 37 [size =\"48978944\"]\n  29 -> 41 [size =\"48978944\"]\n  29 -> 43 [size =\"48978944\"]\n  30 [size=\"170280960\", alpha=\"0.08\", expect_size=\"51084288\"] \n  30 -> 46 [size =\"51084288\"]\n  30 -> 48 [size =\"51084288\"]\n  30 -> 50 [size =\"51084288\"]\n  30 -> 50 [size =\"51084288\"]\n  31 [size=\"155303253\", alpha=\"0.08\", expect_size=\"46590976\"] \n  31 -> 49 [size =\"46590976\"]\n  31 -> 50 [size =\"46590976\"]\n  32 [size=\"107731627\", alpha=\"0.12\", expect_size=\"32319488\"] \n  32 -> 45 [size =\"32319488\"]\n  32 -> 46 [size =\"32319488\"]\n  32 -> 48 [size =\"32319488\"]\n  32 -> 49 [size =\"32319488\"]\n  33 [size=\"97491627\", alpha=\"0.02\", expect_size=\"29247488\"] \n  33 -> 46 [size =\"29247488\"]\n  33 -> 47 [size =\"29247488\"]\n  33 -> 49 [size =\"29247488\"]\n  33 -> 50 [size =\"29247488\"]\n  34 [size=\"91869867\", alpha=\"0.10\", expect_size=\"27560960\"] \n  34 -> 46 [size =\"27560960\"]\n  34 -> 47 [size =\"27560960\"]\n  34 -> 48 [size =\"27560960\"]\n  34 -> 49 [size =\"27560960\"]\n  34 -> 50 [size =\"27560960\"]\n  35 [size=\"135236267\", alpha=\"0.20\", expect_size=\"40570880\"] \n  35 -> 46 [size =\"40570880\"]\n  35 -> 50 [size =\"40570880\"]\n  36 [size=\"104451413\", alpha=\"0.07\", expect_size=\"31335424\"] \n  36 -> 46 [size =\"31335424\"]\n  36 -> 48 [size =\"31335424\"]\n  36 -> 49 [size =\"31335424\"]\n  36 -> 50 [size =\"31335424\"]\n  37 [size=\"89494187\", alpha=\"0.03\", expect_size=\"26848256\"] \n  37 -> 46 [size =\"26848256\"]\n  37 -> 49 [size =\"26848256\"]\n  37 -> 50 [size =\"26848256\"]\n  38 [size=\"54763520\", alpha=\"0.06\", expect_size=\"16429056\"] \n  38 -> 46 [size =\"16429056\"]\n  38 -> 49 [size =\"16429056\"]\n  39 [size=\"153262080\", alpha=\"0.20\", expect_size=\"45978624\"] \n  39 -> 46 [size =\"45978624\"]\n  39 -> 48 [size =\"45978624\"]\n  39 -> 49 [size =\"45978624\"]\n  40 [size=\"133280427\", alpha=\"0.16\", expect_size=\"39984128\"] \n  40 -> 46 [size =\"39984128\"]\n  40 -> 50 [size =\"39984128\"]\n  41 [size=\"35785387\", alpha=\"0.14\", expect_size=\"10735616\"] \n  41 -> 46 [size =\"10735616\"]\n  41 -> 48 [size =\"10735616\"]\n  42 [size=\"100171093\", alpha=\"0.14\", expect_size=\"30051328\"] \n  42 -> 45 [size =\"30051328\"]\n  42 -> 46 [size =\"30051328\"]\n  42 -> 49 [size =\"30051328\"]\n  42 -> 50 [size =\"30051328\"]\n  43 [size=\"35979947\", alpha=\"0.02\", expect_size=\"10793984\"] \n  43 -> 46 [size =\"10793984\"]\n  43 -> 50 [size =\"10793984\"]\n  44 [size=\"54736213\", alpha=\"0.10\", expect_size=\"16420864\"] \n  44 -> 46 [size =\"16420864\"]\n  44 -> 48 [size =\"16420864\"]\n  44 -> 49 [size =\"16420864\"]\n  44 -> 50 [size =\"16420864\"]\n  45 [size=\"137243307\", alpha=\"0.04\", expect_size=\"41172992\"] \n  46 [size=\"137028267\", alpha=\"0.09\", expect_size=\"41108480\"] \n  47 [size=\"31665493\", alpha=\"0.18\", expect_size=\"9499648\"] \n  48 [size=\"55917227\", alpha=\"0.20\", expect_size=\"16775168\"] \n  49 [size=\"101686613\", alpha=\"0.20\", expect_size=\"30505984\"] \n  50 [size=\"99573760\", alpha=\"0.19\", expect_size=\"29872128\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.90.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.5 --regular 0.9 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"101617664\", alpha=\"0.16\", expect_size=\"50808832\"] \n  1 -> 11 [size =\"50808832\"]\n  1 -> 12 [size =\"50808832\"]\n  2 [size=\"47167488\", alpha=\"0.13\", expect_size=\"23583744\"] \n  2 -> 7 [size =\"23583744\"]\n  2 -> 8 [size =\"23583744\"]\n  2 -> 10 [size =\"23583744\"]\n  2 -> 11 [size =\"23583744\"]\n  3 [size=\"102610944\", alpha=\"0.03\", expect_size=\"51305472\"] \n  3 -> 7 [size =\"51305472\"]\n  3 -> 9 [size =\"51305472\"]\n  4 [size=\"28698624\", alpha=\"0.16\", expect_size=\"14349312\"] \n  4 -> 7 [size =\"14349312\"]\n  4 -> 8 [size =\"14349312\"]\n  4 -> 10 [size =\"14349312\"]\n  4 -> 11 [size =\"14349312\"]\n  4 -> 12 [size =\"14349312\"]\n  5 [size=\"63461376\", alpha=\"0.13\", expect_size=\"31730688\"] \n  5 -> 9 [size =\"31730688\"]\n  5 -> 10 [size =\"31730688\"]\n  5 -> 10 [size =\"31730688\"]\n  5 -> 11 [size =\"31730688\"]\n  5 -> 12 [size =\"31730688\"]\n  6 [size=\"10647552\", alpha=\"0.13\", expect_size=\"5323776\"] \n  6 -> 7 [size =\"5323776\"]\n  6 -> 9 [size =\"5323776\"]\n  7 [size=\"87379968\", alpha=\"0.18\", expect_size=\"43689984\"] \n  7 -> 13 [size =\"43689984\"]\n  7 -> 15 [size =\"43689984\"]\n  7 -> 17 [size =\"43689984\"]\n  8 [size=\"66643968\", alpha=\"0.06\", expect_size=\"33321984\"] \n  8 -> 16 [size =\"33321984\"]\n  8 -> 18 [size =\"33321984\"]\n  9 [size=\"69165056\", alpha=\"0.09\", expect_size=\"34582528\"] \n  9 -> 13 [size =\"34582528\"]\n  9 -> 14 [size =\"34582528\"]\n  9 -> 15 [size =\"34582528\"]\n  9 -> 16 [size =\"34582528\"]\n  10 [size=\"44959744\", alpha=\"0.11\", expect_size=\"22479872\"] \n  10 -> 14 [size =\"22479872\"]\n  10 -> 16 [size =\"22479872\"]\n  10 -> 17 [size =\"22479872\"]\n  10 -> 18 [size =\"22479872\"]\n  11 [size=\"67260416\", alpha=\"0.19\", expect_size=\"33630208\"] \n  11 -> 17 [size =\"33630208\"]\n  12 [size=\"50577408\", alpha=\"0.10\", expect_size=\"25288704\"] \n  12 -> 13 [size =\"25288704\"]\n  12 -> 14 [size =\"25288704\"]\n  12 -> 15 [size =\"25288704\"]\n  12 -> 17 [size =\"25288704\"]\n  12 -> 18 [size =\"25288704\"]\n  13 [size=\"19165184\", alpha=\"0.03\", expect_size=\"9582592\"] \n  13 -> 19 [size =\"9582592\"]\n  13 -> 21 [size =\"9582592\"]\n  13 -> 24 [size =\"9582592\"]\n  14 [size=\"32036864\", alpha=\"0.15\", expect_size=\"16018432\"] \n  15 [size=\"12353536\", alpha=\"0.03\", expect_size=\"6176768\"] \n  16 [size=\"72153088\", alpha=\"0.14\", expect_size=\"36076544\"] \n  16 -> 21 [size =\"36076544\"]\n  16 -> 22 [size =\"36076544\"]\n  16 -> 23 [size =\"36076544\"]\n  17 [size=\"36978688\", alpha=\"0.13\", expect_size=\"18489344\"] \n  17 -> 19 [size =\"18489344\"]\n  17 -> 20 [size =\"18489344\"]\n  18 [size=\"27385856\", alpha=\"0.10\", expect_size=\"13692928\"] \n  18 -> 19 [size =\"13692928\"]\n  18 -> 21 [size =\"13692928\"]\n  18 -> 22 [size =\"13692928\"]\n  19 [size=\"57059328\", alpha=\"0.08\", expect_size=\"28529664\"] \n  19 -> 26 [size =\"28529664\"]\n  19 -> 27 [size =\"28529664\"]\n  19 -> 29 [size =\"28529664\"]\n  20 [size=\"97730560\", alpha=\"0.19\", expect_size=\"48865280\"] \n  20 -> 26 [size =\"48865280\"]\n  20 -> 28 [size =\"48865280\"]\n  20 -> 31 [size =\"48865280\"]\n  21 [size=\"54757376\", alpha=\"0.08\", expect_size=\"27378688\"] \n  21 -> 28 [size =\"27378688\"]\n  21 -> 29 [size =\"27378688\"]\n  22 [size=\"50020352\", alpha=\"0.06\", expect_size=\"25010176\"] \n  22 -> 25 [size =\"25010176\"]\n  22 -> 28 [size =\"25010176\"]\n  22 -> 29 [size =\"25010176\"]\n  22 -> 30 [size =\"25010176\"]\n  22 -> 31 [size =\"25010176\"]\n  23 [size=\"96481280\", alpha=\"0.03\", expect_size=\"48240640\"] \n  23 -> 26 [size =\"48240640\"]\n  23 -> 30 [size =\"48240640\"]\n  23 -> 31 [size =\"48240640\"]\n  24 [size=\"15495168\", alpha=\"0.04\", expect_size=\"7747584\"] \n  24 -> 27 [size =\"7747584\"]\n  24 -> 30 [size =\"7747584\"]\n  25 [size=\"85055488\", alpha=\"0.16\", expect_size=\"42527744\"] \n  25 -> 35 [size =\"42527744\"]\n  26 [size=\"101046272\", alpha=\"0.08\", expect_size=\"50523136\"] \n  26 -> 32 [size =\"50523136\"]\n  26 -> 33 [size =\"50523136\"]\n  26 -> 35 [size =\"50523136\"]\n  26 -> 36 [size =\"50523136\"]\n  26 -> 37 [size =\"50523136\"]\n  27 [size=\"72931328\", alpha=\"0.16\", expect_size=\"36465664\"] \n  27 -> 33 [size =\"36465664\"]\n  27 -> 36 [size =\"36465664\"]\n  27 -> 38 [size =\"36465664\"]\n  28 [size=\"39180288\", alpha=\"0.17\", expect_size=\"19590144\"] \n  28 -> 34 [size =\"19590144\"]\n  28 -> 35 [size =\"19590144\"]\n  28 -> 36 [size =\"19590144\"]\n  28 -> 38 [size =\"19590144\"]\n  29 [size=\"86452224\", alpha=\"0.09\", expect_size=\"43226112\"] \n  29 -> 34 [size =\"43226112\"]\n  29 -> 35 [size =\"43226112\"]\n  30 [size=\"30437376\", alpha=\"0.09\", expect_size=\"15218688\"] \n  30 -> 34 [size =\"15218688\"]\n  30 -> 38 [size =\"15218688\"]\n  31 [size=\"23492608\", alpha=\"0.02\", expect_size=\"11746304\"] \n  31 -> 33 [size =\"11746304\"]\n  31 -> 34 [size =\"11746304\"]\n  32 [size=\"62382080\", alpha=\"0.02\", expect_size=\"31191040\"] \n  32 -> 40 [size =\"31191040\"]\n  32 -> 41 [size =\"31191040\"]\n  32 -> 42 [size =\"31191040\"]\n  33 [size=\"89417728\", alpha=\"0.05\", expect_size=\"44708864\"] \n  33 -> 42 [size =\"44708864\"]\n  34 [size=\"102350848\", alpha=\"0.12\", expect_size=\"51175424\"] \n  34 -> 40 [size =\"51175424\"]\n  34 -> 41 [size =\"51175424\"]\n  34 -> 42 [size =\"51175424\"]\n  34 -> 44 [size =\"51175424\"]\n  35 [size=\"25028608\", alpha=\"0.19\", expect_size=\"12514304\"] \n  35 -> 39 [size =\"12514304\"]\n  35 -> 42 [size =\"12514304\"]\n  35 -> 43 [size =\"12514304\"]\n  36 [size=\"99166208\", alpha=\"0.19\", expect_size=\"49583104\"] \n  36 -> 39 [size =\"49583104\"]\n  37 [size=\"41816064\", alpha=\"0.06\", expect_size=\"20908032\"] \n  37 -> 39 [size =\"20908032\"]\n  37 -> 40 [size =\"20908032\"]\n  37 -> 41 [size =\"20908032\"]\n  38 [size=\"24238080\", alpha=\"0.15\", expect_size=\"12119040\"] \n  38 -> 39 [size =\"12119040\"]\n  39 [size=\"102596608\", alpha=\"0.15\", expect_size=\"51298304\"] \n  39 -> 45 [size =\"51298304\"]\n  39 -> 46 [size =\"51298304\"]\n  39 -> 50 [size =\"51298304\"]\n  40 [size=\"52455424\", alpha=\"0.13\", expect_size=\"26227712\"] \n  40 -> 46 [size =\"26227712\"]\n  40 -> 47 [size =\"26227712\"]\n  41 [size=\"97028096\", alpha=\"0.00\", expect_size=\"48514048\"] \n  41 -> 45 [size =\"48514048\"]\n  41 -> 46 [size =\"48514048\"]\n  41 -> 48 [size =\"48514048\"]\n  41 -> 49 [size =\"48514048\"]\n  42 [size=\"104353792\", alpha=\"0.16\", expect_size=\"52176896\"] \n  42 -> 46 [size =\"52176896\"]\n  42 -> 47 [size =\"52176896\"]\n  42 -> 49 [size =\"52176896\"]\n  42 -> 50 [size =\"52176896\"]\n  43 [size=\"20148224\", alpha=\"0.10\", expect_size=\"10074112\"] \n  43 -> 48 [size =\"10074112\"]\n  43 -> 49 [size =\"10074112\"]\n  44 [size=\"41838592\", alpha=\"0.05\", expect_size=\"20919296\"] \n  44 -> 48 [size =\"20919296\"]\n  44 -> 49 [size =\"20919296\"]\n  45 [size=\"96606208\", alpha=\"0.16\", expect_size=\"48303104\"] \n  46 [size=\"91944960\", alpha=\"0.06\", expect_size=\"45972480\"] \n  47 [size=\"89522176\", alpha=\"0.09\", expect_size=\"44761088\"] \n  48 [size=\"21465088\", alpha=\"0.19\", expect_size=\"10732544\"] \n  49 [size=\"93415424\", alpha=\"0.04\", expect_size=\"46707712\"] \n  50 [size=\"68835328\", alpha=\"0.14\", expect_size=\"34417664\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.91.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.9 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"126000640\", alpha=\"0.11\", expect_size=\"50400256\"] \n  1 -> 33 [size =\"50400256\"]\n  1 -> 34 [size =\"50400256\"]\n  1 -> 39 [size =\"50400256\"]\n  1 -> 44 [size =\"50400256\"]\n  1 -> 45 [size =\"50400256\"]\n  1 -> 47 [size =\"50400256\"]\n  1 -> 49 [size =\"50400256\"]\n  2 [size=\"105059840\", alpha=\"0.03\", expect_size=\"42023936\"] \n  2 -> 34 [size =\"42023936\"]\n  2 -> 44 [size =\"42023936\"]\n  2 -> 49 [size =\"42023936\"]\n  3 [size=\"117539840\", alpha=\"0.17\", expect_size=\"47015936\"] \n  3 -> 33 [size =\"47015936\"]\n  3 -> 34 [size =\"47015936\"]\n  3 -> 37 [size =\"47015936\"]\n  3 -> 43 [size =\"47015936\"]\n  3 -> 47 [size =\"47015936\"]\n  3 -> 49 [size =\"47015936\"]\n  4 [size=\"57728000\", alpha=\"0.07\", expect_size=\"23091200\"] \n  4 -> 33 [size =\"23091200\"]\n  4 -> 34 [size =\"23091200\"]\n  4 -> 35 [size =\"23091200\"]\n  4 -> 36 [size =\"23091200\"]\n  4 -> 37 [size =\"23091200\"]\n  4 -> 39 [size =\"23091200\"]\n  4 -> 41 [size =\"23091200\"]\n  4 -> 43 [size =\"23091200\"]\n  4 -> 44 [size =\"23091200\"]\n  4 -> 50 [size =\"23091200\"]\n  5 [size=\"66872320\", alpha=\"0.14\", expect_size=\"26748928\"] \n  5 -> 33 [size =\"26748928\"]\n  5 -> 34 [size =\"26748928\"]\n  5 -> 38 [size =\"26748928\"]\n  5 -> 42 [size =\"26748928\"]\n  5 -> 46 [size =\"26748928\"]\n  5 -> 50 [size =\"26748928\"]\n  6 [size=\"130086400\", alpha=\"0.06\", expect_size=\"52034560\"] \n  6 -> 34 [size =\"52034560\"]\n  6 -> 34 [size =\"52034560\"]\n  6 -> 43 [size =\"52034560\"]\n  6 -> 44 [size =\"52034560\"]\n  6 -> 47 [size =\"52034560\"]\n  6 -> 50 [size =\"52034560\"]\n  7 [size=\"105786880\", alpha=\"0.15\", expect_size=\"42314752\"] \n  7 -> 34 [size =\"42314752\"]\n  7 -> 42 [size =\"42314752\"]\n  7 -> 43 [size =\"42314752\"]\n  7 -> 45 [size =\"42314752\"]\n  7 -> 47 [size =\"42314752\"]\n  7 -> 50 [size =\"42314752\"]\n  8 [size=\"27727360\", alpha=\"0.12\", expect_size=\"11090944\"] \n  8 -> 33 [size =\"11090944\"]\n  8 -> 41 [size =\"11090944\"]\n  8 -> 43 [size =\"11090944\"]\n  8 -> 44 [size =\"11090944\"]\n  8 -> 50 [size =\"11090944\"]\n  9 [size=\"66777600\", alpha=\"0.04\", expect_size=\"26711040\"] \n  9 -> 39 [size =\"26711040\"]\n  10 [size=\"77977600\", alpha=\"0.14\", expect_size=\"31191040\"] \n  10 -> 34 [size =\"31191040\"]\n  10 -> 37 [size =\"31191040\"]\n  10 -> 38 [size =\"31191040\"]\n  10 -> 39 [size =\"31191040\"]\n  10 -> 42 [size =\"31191040\"]\n  10 -> 48 [size =\"31191040\"]\n  11 [size=\"109698560\", alpha=\"0.05\", expect_size=\"43879424\"] \n  11 -> 34 [size =\"43879424\"]\n  11 -> 39 [size =\"43879424\"]\n  11 -> 40 [size =\"43879424\"]\n  11 -> 43 [size =\"43879424\"]\n  11 -> 47 [size =\"43879424\"]\n  11 -> 48 [size =\"43879424\"]\n  12 [size=\"56517120\", alpha=\"0.09\", expect_size=\"22606848\"] \n  12 -> 36 [size =\"22606848\"]\n  12 -> 37 [size =\"22606848\"]\n  12 -> 40 [size =\"22606848\"]\n  12 -> 47 [size =\"22606848\"]\n  13 [size=\"71347200\", alpha=\"0.13\", expect_size=\"28538880\"] \n  13 -> 33 [size =\"28538880\"]\n  13 -> 37 [size =\"28538880\"]\n  13 -> 40 [size =\"28538880\"]\n  14 [size=\"54456320\", alpha=\"0.08\", expect_size=\"21782528\"] \n  14 -> 42 [size =\"21782528\"]\n  14 -> 44 [size =\"21782528\"]\n  15 [size=\"93232640\", alpha=\"0.18\", expect_size=\"37293056\"] \n  15 -> 33 [size =\"37293056\"]\n  15 -> 35 [size =\"37293056\"]\n  15 -> 37 [size =\"37293056\"]\n  15 -> 39 [size =\"37293056\"]\n  15 -> 41 [size =\"37293056\"]\n  15 -> 42 [size =\"37293056\"]\n  15 -> 44 [size =\"37293056\"]\n  15 -> 47 [size =\"37293056\"]\n  15 -> 50 [size =\"37293056\"]\n  16 [size=\"56506880\", alpha=\"0.02\", expect_size=\"22602752\"] \n  16 -> 33 [size =\"22602752\"]\n  16 -> 35 [size =\"22602752\"]\n  16 -> 39 [size =\"22602752\"]\n  16 -> 39 [size =\"22602752\"]\n  16 -> 43 [size =\"22602752\"]\n  16 -> 44 [size =\"22602752\"]\n  16 -> 47 [size =\"22602752\"]\n  16 -> 49 [size =\"22602752\"]\n  17 [size=\"90234880\", alpha=\"0.09\", expect_size=\"36093952\"] \n  17 -> 33 [size =\"36093952\"]\n  17 -> 35 [size =\"36093952\"]\n  17 -> 39 [size =\"36093952\"]\n  17 -> 40 [size =\"36093952\"]\n  17 -> 43 [size =\"36093952\"]\n  17 -> 44 [size =\"36093952\"]\n  17 -> 50 [size =\"36093952\"]\n  18 [size=\"61073920\", alpha=\"0.14\", expect_size=\"24429568\"] \n  18 -> 33 [size =\"24429568\"]\n  18 -> 34 [size =\"24429568\"]\n  18 -> 35 [size =\"24429568\"]\n  18 -> 39 [size =\"24429568\"]\n  18 -> 41 [size =\"24429568\"]\n  18 -> 43 [size =\"24429568\"]\n  18 -> 44 [size =\"24429568\"]\n  18 -> 47 [size =\"24429568\"]\n  18 -> 49 [size =\"24429568\"]\n  18 -> 50 [size =\"24429568\"]\n  19 [size=\"129241600\", alpha=\"0.04\", expect_size=\"51696640\"] \n  19 -> 38 [size =\"51696640\"]\n  19 -> 42 [size =\"51696640\"]\n  19 -> 43 [size =\"51696640\"]\n  19 -> 44 [size =\"51696640\"]\n  19 -> 49 [size =\"51696640\"]\n  20 [size=\"33799680\", alpha=\"0.09\", expect_size=\"13519872\"] \n  20 -> 33 [size =\"13519872\"]\n  20 -> 35 [size =\"13519872\"]\n  20 -> 37 [size =\"13519872\"]\n  20 -> 39 [size =\"13519872\"]\n  20 -> 42 [size =\"13519872\"]\n  20 -> 44 [size =\"13519872\"]\n  20 -> 45 [size =\"13519872\"]\n  20 -> 49 [size =\"13519872\"]\n  21 [size=\"114570240\", alpha=\"0.12\", expect_size=\"45828096\"] \n  21 -> 33 [size =\"45828096\"]\n  21 -> 34 [size =\"45828096\"]\n  21 -> 40 [size =\"45828096\"]\n  21 -> 43 [size =\"45828096\"]\n  21 -> 44 [size =\"45828096\"]\n  21 -> 44 [size =\"45828096\"]\n  21 -> 47 [size =\"45828096\"]\n  21 -> 49 [size =\"45828096\"]\n  22 [size=\"27811840\", alpha=\"0.11\", expect_size=\"11124736\"] \n  22 -> 39 [size =\"11124736\"]\n  22 -> 42 [size =\"11124736\"]\n  22 -> 43 [size =\"11124736\"]\n  22 -> 43 [size =\"11124736\"]\n  22 -> 44 [size =\"11124736\"]\n  22 -> 45 [size =\"11124736\"]\n  22 -> 47 [size =\"11124736\"]\n  22 -> 50 [size =\"11124736\"]\n  23 [size=\"82631680\", alpha=\"0.08\", expect_size=\"33052672\"] \n  23 -> 36 [size =\"33052672\"]\n  23 -> 37 [size =\"33052672\"]\n  23 -> 43 [size =\"33052672\"]\n  23 -> 44 [size =\"33052672\"]\n  23 -> 44 [size =\"33052672\"]\n  23 -> 47 [size =\"33052672\"]\n  23 -> 50 [size =\"33052672\"]\n  24 [size=\"38740480\", alpha=\"0.12\", expect_size=\"15496192\"] \n  24 -> 34 [size =\"15496192\"]\n  24 -> 37 [size =\"15496192\"]\n  24 -> 38 [size =\"15496192\"]\n  24 -> 40 [size =\"15496192\"]\n  24 -> 45 [size =\"15496192\"]\n  24 -> 48 [size =\"15496192\"]\n  24 -> 49 [size =\"15496192\"]\n  25 [size=\"83445760\", alpha=\"0.06\", expect_size=\"33378304\"] \n  25 -> 36 [size =\"33378304\"]\n  25 -> 39 [size =\"33378304\"]\n  25 -> 42 [size =\"33378304\"]\n  25 -> 43 [size =\"33378304\"]\n  25 -> 47 [size =\"33378304\"]\n  26 [size=\"73157120\", alpha=\"0.19\", expect_size=\"29262848\"] \n  26 -> 33 [size =\"29262848\"]\n  26 -> 42 [size =\"29262848\"]\n  26 -> 42 [size =\"29262848\"]\n  26 -> 43 [size =\"29262848\"]\n  26 -> 49 [size =\"29262848\"]\n  26 -> 50 [size =\"29262848\"]\n  27 [size=\"84257280\", alpha=\"0.08\", expect_size=\"33702912\"] \n  27 -> 33 [size =\"33702912\"]\n  27 -> 37 [size =\"33702912\"]\n  27 -> 38 [size =\"33702912\"]\n  27 -> 39 [size =\"33702912\"]\n  27 -> 42 [size =\"33702912\"]\n  27 -> 43 [size =\"33702912\"]\n  27 -> 44 [size =\"33702912\"]\n  27 -> 50 [size =\"33702912\"]\n  28 [size=\"18984960\", alpha=\"0.20\", expect_size=\"7593984\"] \n  28 -> 33 [size =\"7593984\"]\n  28 -> 34 [size =\"7593984\"]\n  28 -> 36 [size =\"7593984\"]\n  28 -> 42 [size =\"7593984\"]\n  28 -> 47 [size =\"7593984\"]\n  28 -> 49 [size =\"7593984\"]\n  28 -> 50 [size =\"7593984\"]\n  29 [size=\"98844160\", alpha=\"0.00\", expect_size=\"39537664\"] \n  29 -> 33 [size =\"39537664\"]\n  29 -> 34 [size =\"39537664\"]\n  29 -> 36 [size =\"39537664\"]\n  29 -> 37 [size =\"39537664\"]\n  29 -> 38 [size =\"39537664\"]\n  29 -> 41 [size =\"39537664\"]\n  29 -> 42 [size =\"39537664\"]\n  29 -> 44 [size =\"39537664\"]\n  29 -> 45 [size =\"39537664\"]\n  29 -> 47 [size =\"39537664\"]\n  30 [size=\"124111360\", alpha=\"0.12\", expect_size=\"49644544\"] \n  30 -> 33 [size =\"49644544\"]\n  30 -> 36 [size =\"49644544\"]\n  30 -> 38 [size =\"49644544\"]\n  30 -> 40 [size =\"49644544\"]\n  30 -> 44 [size =\"49644544\"]\n  30 -> 50 [size =\"49644544\"]\n  31 [size=\"57228800\", alpha=\"0.00\", expect_size=\"22891520\"] \n  31 -> 37 [size =\"22891520\"]\n  31 -> 42 [size =\"22891520\"]\n  31 -> 43 [size =\"22891520\"]\n  31 -> 45 [size =\"22891520\"]\n  31 -> 50 [size =\"22891520\"]\n  31 -> 50 [size =\"22891520\"]\n  32 [size=\"129062400\", alpha=\"0.15\", expect_size=\"51624960\"] \n  32 -> 33 [size =\"51624960\"]\n  32 -> 36 [size =\"51624960\"]\n  32 -> 37 [size =\"51624960\"]\n  32 -> 40 [size =\"51624960\"]\n  32 -> 43 [size =\"51624960\"]\n  32 -> 49 [size =\"51624960\"]\n  32 -> 50 [size =\"51624960\"]\n  33 [size=\"77662720\", alpha=\"0.01\", expect_size=\"31065088\"] \n  34 [size=\"125437440\", alpha=\"0.13\", expect_size=\"50174976\"] \n  35 [size=\"81072640\", alpha=\"0.19\", expect_size=\"32429056\"] \n  36 [size=\"116303360\", alpha=\"0.12\", expect_size=\"46521344\"] \n  37 [size=\"112179200\", alpha=\"0.18\", expect_size=\"44871680\"] \n  38 [size=\"43415040\", alpha=\"0.13\", expect_size=\"17366016\"] \n  39 [size=\"42598400\", alpha=\"0.07\", expect_size=\"17039360\"] \n  40 [size=\"45434880\", alpha=\"0.04\", expect_size=\"18173952\"] \n  41 [size=\"116800000\", alpha=\"0.19\", expect_size=\"46720000\"] \n  42 [size=\"117352960\", alpha=\"0.16\", expect_size=\"46941184\"] \n  43 [size=\"90503680\", alpha=\"0.05\", expect_size=\"36201472\"] \n  44 [size=\"94494720\", alpha=\"0.19\", expect_size=\"37797888\"] \n  45 [size=\"52712960\", alpha=\"0.04\", expect_size=\"21085184\"] \n  46 [size=\"45281280\", alpha=\"0.20\", expect_size=\"18112512\"] \n  47 [size=\"115601920\", alpha=\"0.07\", expect_size=\"46240768\"] \n  48 [size=\"104872960\", alpha=\"0.16\", expect_size=\"41949184\"] \n  49 [size=\"61063680\", alpha=\"0.19\", expect_size=\"24425472\"] \n  50 [size=\"100311040\", alpha=\"0.01\", expect_size=\"40124416\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.92.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.5 --density 0.7 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"78419968\", alpha=\"0.04\", expect_size=\"39209984\"] \n  1 -> 11 [size =\"39209984\"]\n  2 [size=\"57159680\", alpha=\"0.07\", expect_size=\"28579840\"] \n  2 -> 13 [size =\"28579840\"]\n  2 -> 16 [size =\"28579840\"]\n  3 [size=\"76529664\", alpha=\"0.09\", expect_size=\"38264832\"] \n  3 -> 11 [size =\"38264832\"]\n  4 [size=\"98828288\", alpha=\"0.11\", expect_size=\"49414144\"] \n  5 [size=\"59234304\", alpha=\"0.12\", expect_size=\"29617152\"] \n  5 -> 14 [size =\"29617152\"]\n  6 [size=\"97855488\", alpha=\"0.13\", expect_size=\"48927744\"] \n  6 -> 16 [size =\"48927744\"]\n  6 -> 17 [size =\"48927744\"]\n  7 [size=\"44509184\", alpha=\"0.01\", expect_size=\"22254592\"] \n  7 -> 11 [size =\"22254592\"]\n  7 -> 16 [size =\"22254592\"]\n  8 [size=\"92360704\", alpha=\"0.07\", expect_size=\"46180352\"] \n  8 -> 11 [size =\"46180352\"]\n  8 -> 16 [size =\"46180352\"]\n  9 [size=\"26451968\", alpha=\"0.12\", expect_size=\"13225984\"] \n  9 -> 11 [size =\"13225984\"]\n  9 -> 18 [size =\"13225984\"]\n  10 [size=\"35262464\", alpha=\"0.06\", expect_size=\"17631232\"] \n  10 -> 11 [size =\"17631232\"]\n  10 -> 12 [size =\"17631232\"]\n  10 -> 14 [size =\"17631232\"]\n  10 -> 15 [size =\"17631232\"]\n  11 [size=\"27273216\", alpha=\"0.15\", expect_size=\"13636608\"] \n  11 -> 20 [size =\"13636608\"]\n  12 [size=\"47433728\", alpha=\"0.11\", expect_size=\"23716864\"] \n  12 -> 24 [size =\"23716864\"]\n  13 [size=\"82675712\", alpha=\"0.02\", expect_size=\"41337856\"] \n  13 -> 23 [size =\"41337856\"]\n  13 -> 26 [size =\"41337856\"]\n  14 [size=\"28858368\", alpha=\"0.11\", expect_size=\"14429184\"] \n  14 -> 19 [size =\"14429184\"]\n  14 -> 22 [size =\"14429184\"]\n  14 -> 23 [size =\"14429184\"]\n  14 -> 24 [size =\"14429184\"]\n  14 -> 26 [size =\"14429184\"]\n  15 [size=\"80691200\", alpha=\"0.13\", expect_size=\"40345600\"] \n  15 -> 21 [size =\"40345600\"]\n  15 -> 22 [size =\"40345600\"]\n  15 -> 24 [size =\"40345600\"]\n  16 [size=\"43585536\", alpha=\"0.12\", expect_size=\"21792768\"] \n  16 -> 21 [size =\"21792768\"]\n  16 -> 22 [size =\"21792768\"]\n  16 -> 23 [size =\"21792768\"]\n  17 [size=\"11083776\", alpha=\"0.16\", expect_size=\"5541888\"] \n  17 -> 19 [size =\"5541888\"]\n  17 -> 21 [size =\"5541888\"]\n  17 -> 22 [size =\"5541888\"]\n  17 -> 23 [size =\"5541888\"]\n  17 -> 26 [size =\"5541888\"]\n  18 [size=\"14258176\", alpha=\"0.14\", expect_size=\"7129088\"] \n  18 -> 21 [size =\"7129088\"]\n  18 -> 22 [size =\"7129088\"]\n  18 -> 23 [size =\"7129088\"]\n  18 -> 24 [size =\"7129088\"]\n  18 -> 25 [size =\"7129088\"]\n  19 [size=\"49477632\", alpha=\"0.03\", expect_size=\"24738816\"] \n  19 -> 29 [size =\"24738816\"]\n  19 -> 32 [size =\"24738816\"]\n  19 -> 33 [size =\"24738816\"]\n  19 -> 35 [size =\"24738816\"]\n  19 -> 37 [size =\"24738816\"]\n  19 -> 40 [size =\"24738816\"]\n  19 -> 42 [size =\"24738816\"]\n  19 -> 44 [size =\"24738816\"]\n  20 [size=\"104572928\", alpha=\"0.14\", expect_size=\"52286464\"] \n  20 -> 27 [size =\"52286464\"]\n  20 -> 28 [size =\"52286464\"]\n  20 -> 30 [size =\"52286464\"]\n  20 -> 32 [size =\"52286464\"]\n  20 -> 40 [size =\"52286464\"]\n  20 -> 41 [size =\"52286464\"]\n  21 [size=\"38889472\", alpha=\"0.18\", expect_size=\"19444736\"] \n  21 -> 28 [size =\"19444736\"]\n  21 -> 32 [size =\"19444736\"]\n  21 -> 34 [size =\"19444736\"]\n  21 -> 44 [size =\"19444736\"]\n  22 [size=\"13072384\", alpha=\"0.13\", expect_size=\"6536192\"] \n  22 -> 28 [size =\"6536192\"]\n  22 -> 29 [size =\"6536192\"]\n  22 -> 34 [size =\"6536192\"]\n  22 -> 35 [size =\"6536192\"]\n  22 -> 42 [size =\"6536192\"]\n  22 -> 44 [size =\"6536192\"]\n  23 [size=\"65849344\", alpha=\"0.01\", expect_size=\"32924672\"] \n  23 -> 29 [size =\"32924672\"]\n  23 -> 31 [size =\"32924672\"]\n  23 -> 34 [size =\"32924672\"]\n  23 -> 36 [size =\"32924672\"]\n  23 -> 38 [size =\"32924672\"]\n  24 [size=\"76533760\", alpha=\"0.08\", expect_size=\"38266880\"] \n  24 -> 28 [size =\"38266880\"]\n  24 -> 32 [size =\"38266880\"]\n  24 -> 35 [size =\"38266880\"]\n  24 -> 40 [size =\"38266880\"]\n  24 -> 42 [size =\"38266880\"]\n  25 [size=\"35633152\", alpha=\"0.06\", expect_size=\"17816576\"] \n  25 -> 29 [size =\"17816576\"]\n  25 -> 32 [size =\"17816576\"]\n  25 -> 34 [size =\"17816576\"]\n  25 -> 35 [size =\"17816576\"]\n  25 -> 39 [size =\"17816576\"]\n  25 -> 40 [size =\"17816576\"]\n  25 -> 44 [size =\"17816576\"]\n  26 [size=\"95533056\", alpha=\"0.02\", expect_size=\"47766528\"] \n  26 -> 28 [size =\"47766528\"]\n  26 -> 32 [size =\"47766528\"]\n  26 -> 34 [size =\"47766528\"]\n  26 -> 36 [size =\"47766528\"]\n  26 -> 37 [size =\"47766528\"]\n  26 -> 40 [size =\"47766528\"]\n  26 -> 42 [size =\"47766528\"]\n  26 -> 43 [size =\"47766528\"]\n  27 [size=\"57409536\", alpha=\"0.05\", expect_size=\"28704768\"] \n  27 -> 46 [size =\"28704768\"]\n  27 -> 47 [size =\"28704768\"]\n  27 -> 48 [size =\"28704768\"]\n  27 -> 49 [size =\"28704768\"]\n  28 [size=\"37179392\", alpha=\"0.06\", expect_size=\"18589696\"] \n  28 -> 46 [size =\"18589696\"]\n  28 -> 47 [size =\"18589696\"]\n  28 -> 48 [size =\"18589696\"]\n  28 -> 49 [size =\"18589696\"]\n  29 [size=\"104521728\", alpha=\"0.10\", expect_size=\"52260864\"] \n  29 -> 47 [size =\"52260864\"]\n  29 -> 48 [size =\"52260864\"]\n  29 -> 50 [size =\"52260864\"]\n  30 [size=\"25591808\", alpha=\"0.19\", expect_size=\"12795904\"] \n  30 -> 45 [size =\"12795904\"]\n  30 -> 47 [size =\"12795904\"]\n  31 [size=\"89300992\", alpha=\"0.12\", expect_size=\"44650496\"] \n  31 -> 46 [size =\"44650496\"]\n  31 -> 47 [size =\"44650496\"]\n  31 -> 48 [size =\"44650496\"]\n  32 [size=\"80467968\", alpha=\"0.13\", expect_size=\"40233984\"] \n  32 -> 47 [size =\"40233984\"]\n  32 -> 48 [size =\"40233984\"]\n  32 -> 48 [size =\"40233984\"]\n  32 -> 49 [size =\"40233984\"]\n  33 [size=\"45770752\", alpha=\"0.09\", expect_size=\"22885376\"] \n  33 -> 47 [size =\"22885376\"]\n  33 -> 48 [size =\"22885376\"]\n  33 -> 49 [size =\"22885376\"]\n  34 [size=\"51251200\", alpha=\"0.09\", expect_size=\"25625600\"] \n  34 -> 46 [size =\"25625600\"]\n  34 -> 47 [size =\"25625600\"]\n  34 -> 48 [size =\"25625600\"]\n  35 [size=\"90884096\", alpha=\"0.03\", expect_size=\"45442048\"] \n  35 -> 48 [size =\"45442048\"]\n  36 [size=\"24672256\", alpha=\"0.05\", expect_size=\"12336128\"] \n  36 -> 45 [size =\"12336128\"]\n  36 -> 48 [size =\"12336128\"]\n  37 [size=\"34359296\", alpha=\"0.07\", expect_size=\"17179648\"] \n  37 -> 45 [size =\"17179648\"]\n  37 -> 48 [size =\"17179648\"]\n  38 [size=\"59598848\", alpha=\"0.10\", expect_size=\"29799424\"] \n  38 -> 45 [size =\"29799424\"]\n  38 -> 48 [size =\"29799424\"]\n  39 [size=\"87894016\", alpha=\"0.01\", expect_size=\"43947008\"] \n  39 -> 45 [size =\"43947008\"]\n  39 -> 47 [size =\"43947008\"]\n  40 [size=\"40843264\", alpha=\"0.12\", expect_size=\"20421632\"] \n  40 -> 46 [size =\"20421632\"]\n  41 [size=\"37593088\", alpha=\"0.08\", expect_size=\"18796544\"] \n  41 -> 46 [size =\"18796544\"]\n  41 -> 47 [size =\"18796544\"]\n  42 [size=\"94932992\", alpha=\"0.06\", expect_size=\"47466496\"] \n  42 -> 45 [size =\"47466496\"]\n  42 -> 46 [size =\"47466496\"]\n  42 -> 47 [size =\"47466496\"]\n  42 -> 48 [size =\"47466496\"]\n  43 [size=\"61069312\", alpha=\"0.15\", expect_size=\"30534656\"] \n  44 [size=\"102561792\", alpha=\"0.18\", expect_size=\"51280896\"] \n  44 -> 47 [size =\"51280896\"]\n  44 -> 50 [size =\"51280896\"]\n  45 [size=\"49043456\", alpha=\"0.07\", expect_size=\"24521728\"] \n  46 [size=\"65091584\", alpha=\"0.13\", expect_size=\"32545792\"] \n  47 [size=\"89432064\", alpha=\"0.10\", expect_size=\"44716032\"] \n  48 [size=\"28295168\", alpha=\"0.12\", expect_size=\"14147584\"] \n  49 [size=\"74196992\", alpha=\"0.14\", expect_size=\"37098496\"] \n  50 [size=\"77385728\", alpha=\"0.19\", expect_size=\"38692864\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.93.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"77112320\", alpha=\"0.14\", expect_size=\"30844928\"] \n  1 -> 2 [size =\"30844928\"]\n  2 [size=\"24586240\", alpha=\"0.07\", expect_size=\"9834496\"] \n  2 -> 3 [size =\"9834496\"]\n  3 [size=\"81730560\", alpha=\"0.03\", expect_size=\"32692224\"] \n  3 -> 4 [size =\"32692224\"]\n  4 [size=\"28497920\", alpha=\"0.07\", expect_size=\"11399168\"] \n  4 -> 5 [size =\"11399168\"]\n  5 [size=\"84428800\", alpha=\"0.13\", expect_size=\"33771520\"] \n  5 -> 6 [size =\"33771520\"]\n  6 [size=\"64627200\", alpha=\"0.13\", expect_size=\"25850880\"] \n  6 -> 7 [size =\"25850880\"]\n  7 [size=\"120524800\", alpha=\"0.15\", expect_size=\"48209920\"] \n  7 -> 8 [size =\"48209920\"]\n  8 [size=\"58319360\", alpha=\"0.18\", expect_size=\"23327744\"] \n  8 -> 9 [size =\"23327744\"]\n  9 [size=\"96714240\", alpha=\"0.19\", expect_size=\"38685696\"] \n  9 -> 10 [size =\"38685696\"]\n  10 [size=\"119559680\", alpha=\"0.10\", expect_size=\"47823872\"] \n  10 -> 11 [size =\"47823872\"]\n  11 [size=\"18475520\", alpha=\"0.13\", expect_size=\"7390208\"] \n  11 -> 12 [size =\"7390208\"]\n  12 [size=\"101877760\", alpha=\"0.08\", expect_size=\"40751104\"] \n  12 -> 13 [size =\"40751104\"]\n  13 [size=\"25090560\", alpha=\"0.09\", expect_size=\"10036224\"] \n  13 -> 14 [size =\"10036224\"]\n  14 [size=\"43985920\", alpha=\"0.15\", expect_size=\"17594368\"] \n  14 -> 15 [size =\"17594368\"]\n  15 [size=\"83297280\", alpha=\"0.15\", expect_size=\"33318912\"] \n  15 -> 16 [size =\"33318912\"]\n  16 [size=\"44536320\", alpha=\"0.16\", expect_size=\"17814528\"] \n  16 -> 17 [size =\"17814528\"]\n  17 [size=\"123499520\", alpha=\"0.12\", expect_size=\"49399808\"] \n  17 -> 18 [size =\"49399808\"]\n  18 [size=\"96463360\", alpha=\"0.11\", expect_size=\"38585344\"] \n  18 -> 19 [size =\"38585344\"]\n  19 [size=\"83896320\", alpha=\"0.15\", expect_size=\"33558528\"] \n  19 -> 20 [size =\"33558528\"]\n  20 [size=\"75942400\", alpha=\"0.11\", expect_size=\"30376960\"] \n  20 -> 21 [size =\"30376960\"]\n  21 [size=\"18531840\", alpha=\"0.18\", expect_size=\"7412736\"] \n  21 -> 22 [size =\"7412736\"]\n  22 [size=\"96458240\", alpha=\"0.07\", expect_size=\"38583296\"] \n  22 -> 23 [size =\"38583296\"]\n  23 [size=\"26347520\", alpha=\"0.08\", expect_size=\"10539008\"] \n  23 -> 24 [size =\"10539008\"]\n  24 [size=\"77301760\", alpha=\"0.11\", expect_size=\"30920704\"] \n  24 -> 25 [size =\"30920704\"]\n  25 [size=\"47562240\", alpha=\"0.07\", expect_size=\"19024896\"] \n  25 -> 26 [size =\"19024896\"]\n  26 [size=\"20597760\", alpha=\"0.11\", expect_size=\"8239104\"] \n  26 -> 27 [size =\"8239104\"]\n  27 [size=\"113085440\", alpha=\"0.13\", expect_size=\"45234176\"] \n  27 -> 28 [size =\"45234176\"]\n  28 [size=\"64355840\", alpha=\"0.03\", expect_size=\"25742336\"] \n  28 -> 29 [size =\"25742336\"]\n  29 [size=\"13575680\", alpha=\"0.07\", expect_size=\"5430272\"] \n  29 -> 30 [size =\"5430272\"]\n  30 [size=\"103413760\", alpha=\"0.09\", expect_size=\"41365504\"] \n  30 -> 31 [size =\"41365504\"]\n  31 [size=\"52810240\", alpha=\"0.12\", expect_size=\"21124096\"] \n  31 -> 32 [size =\"21124096\"]\n  32 [size=\"43737600\", alpha=\"0.10\", expect_size=\"17495040\"] \n  32 -> 33 [size =\"17495040\"]\n  33 [size=\"87672320\", alpha=\"0.11\", expect_size=\"35068928\"] \n  33 -> 34 [size =\"35068928\"]\n  34 [size=\"17315840\", alpha=\"0.16\", expect_size=\"6926336\"] \n  34 -> 35 [size =\"6926336\"]\n  35 [size=\"83985920\", alpha=\"0.13\", expect_size=\"33594368\"] \n  35 -> 36 [size =\"33594368\"]\n  36 [size=\"123077120\", alpha=\"0.16\", expect_size=\"49230848\"] \n  36 -> 37 [size =\"49230848\"]\n  37 [size=\"68149760\", alpha=\"0.17\", expect_size=\"27259904\"] \n  37 -> 38 [size =\"27259904\"]\n  38 [size=\"26616320\", alpha=\"0.13\", expect_size=\"10646528\"] \n  38 -> 39 [size =\"10646528\"]\n  39 [size=\"43694080\", alpha=\"0.00\", expect_size=\"17477632\"] \n  39 -> 40 [size =\"17477632\"]\n  40 [size=\"85027840\", alpha=\"0.18\", expect_size=\"34011136\"] \n  40 -> 41 [size =\"34011136\"]\n  41 [size=\"21135360\", alpha=\"0.17\", expect_size=\"8454144\"] \n  41 -> 42 [size =\"8454144\"]\n  42 [size=\"93319680\", alpha=\"0.10\", expect_size=\"37327872\"] \n  42 -> 43 [size =\"37327872\"]\n  43 [size=\"36456960\", alpha=\"0.06\", expect_size=\"14582784\"] \n  43 -> 44 [size =\"14582784\"]\n  44 [size=\"98460160\", alpha=\"0.12\", expect_size=\"39384064\"] \n  44 -> 45 [size =\"39384064\"]\n  45 [size=\"74283520\", alpha=\"0.04\", expect_size=\"29713408\"] \n  45 -> 46 [size =\"29713408\"]\n  46 [size=\"34114560\", alpha=\"0.18\", expect_size=\"13645824\"] \n  46 -> 47 [size =\"13645824\"]\n  47 [size=\"127349760\", alpha=\"0.08\", expect_size=\"50939904\"] \n  47 -> 48 [size =\"50939904\"]\n  48 [size=\"110487040\", alpha=\"0.07\", expect_size=\"44194816\"] \n  48 -> 49 [size =\"44194816\"]\n  49 [size=\"66887680\", alpha=\"0.06\", expect_size=\"26755072\"] \n  49 -> 50 [size =\"26755072\"]\n  50 [size=\"67340800\", alpha=\"0.01\", expect_size=\"26936320\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.94.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.1 --regular 0.5 --density 0.6 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"103324160\", alpha=\"0.17\", expect_size=\"41329664\"] \n  1 -> 2 [size =\"41329664\"]\n  2 [size=\"98408960\", alpha=\"0.09\", expect_size=\"39363584\"] \n  2 -> 3 [size =\"39363584\"]\n  3 [size=\"91409920\", alpha=\"0.14\", expect_size=\"36563968\"] \n  3 -> 4 [size =\"36563968\"]\n  4 [size=\"59694080\", alpha=\"0.02\", expect_size=\"23877632\"] \n  4 -> 5 [size =\"23877632\"]\n  5 [size=\"44712960\", alpha=\"0.16\", expect_size=\"17885184\"] \n  5 -> 6 [size =\"17885184\"]\n  6 [size=\"29511680\", alpha=\"0.11\", expect_size=\"11804672\"] \n  6 -> 7 [size =\"11804672\"]\n  7 [size=\"116213760\", alpha=\"0.02\", expect_size=\"46485504\"] \n  7 -> 8 [size =\"46485504\"]\n  8 [size=\"104847360\", alpha=\"0.09\", expect_size=\"41938944\"] \n  8 -> 9 [size =\"41938944\"]\n  9 [size=\"52943360\", alpha=\"0.14\", expect_size=\"21177344\"] \n  9 -> 10 [size =\"21177344\"]\n  10 [size=\"94115840\", alpha=\"0.01\", expect_size=\"37646336\"] \n  10 -> 11 [size =\"37646336\"]\n  11 [size=\"116221440\", alpha=\"0.02\", expect_size=\"46488576\"] \n  11 -> 12 [size =\"46488576\"]\n  12 [size=\"100101120\", alpha=\"0.10\", expect_size=\"40040448\"] \n  12 -> 13 [size =\"40040448\"]\n  13 [size=\"37524480\", alpha=\"0.02\", expect_size=\"15009792\"] \n  13 -> 14 [size =\"15009792\"]\n  14 [size=\"117534720\", alpha=\"0.02\", expect_size=\"47013888\"] \n  14 -> 15 [size =\"47013888\"]\n  15 [size=\"128373760\", alpha=\"0.06\", expect_size=\"51349504\"] \n  15 -> 16 [size =\"51349504\"]\n  16 [size=\"102213120\", alpha=\"0.06\", expect_size=\"40885248\"] \n  16 -> 17 [size =\"40885248\"]\n  17 [size=\"51328000\", alpha=\"0.11\", expect_size=\"20531200\"] \n  17 -> 18 [size =\"20531200\"]\n  18 [size=\"60372480\", alpha=\"0.17\", expect_size=\"24148992\"] \n  18 -> 19 [size =\"24148992\"]\n  19 [size=\"111475200\", alpha=\"0.19\", expect_size=\"44590080\"] \n  19 -> 20 [size =\"44590080\"]\n  20 [size=\"75317760\", alpha=\"0.11\", expect_size=\"30127104\"] \n  20 -> 21 [size =\"30127104\"]\n  21 [size=\"78679040\", alpha=\"0.18\", expect_size=\"31471616\"] \n  21 -> 22 [size =\"31471616\"]\n  22 [size=\"88074240\", alpha=\"0.20\", expect_size=\"35229696\"] \n  22 -> 23 [size =\"35229696\"]\n  23 [size=\"26291200\", alpha=\"0.15\", expect_size=\"10516480\"] \n  23 -> 24 [size =\"10516480\"]\n  24 [size=\"35648000\", alpha=\"0.18\", expect_size=\"14259200\"] \n  24 -> 25 [size =\"14259200\"]\n  25 [size=\"48102400\", alpha=\"0.06\", expect_size=\"19240960\"] \n  25 -> 26 [size =\"19240960\"]\n  26 [size=\"83402240\", alpha=\"0.17\", expect_size=\"33360896\"] \n  26 -> 27 [size =\"33360896\"]\n  27 [size=\"119928320\", alpha=\"0.06\", expect_size=\"47971328\"] \n  27 -> 28 [size =\"47971328\"]\n  28 [size=\"64222720\", alpha=\"0.10\", expect_size=\"25689088\"] \n  28 -> 29 [size =\"25689088\"]\n  29 [size=\"47859200\", alpha=\"0.01\", expect_size=\"19143680\"] \n  29 -> 30 [size =\"19143680\"]\n  30 [size=\"41072640\", alpha=\"0.05\", expect_size=\"16429056\"] \n  30 -> 31 [size =\"16429056\"]\n  31 [size=\"104921600\", alpha=\"0.07\", expect_size=\"41968640\"] \n  31 -> 32 [size =\"41968640\"]\n  32 [size=\"93696000\", alpha=\"0.04\", expect_size=\"37478400\"] \n  32 -> 33 [size =\"37478400\"]\n  33 [size=\"92700160\", alpha=\"0.05\", expect_size=\"37080064\"] \n  33 -> 34 [size =\"37080064\"]\n  34 [size=\"62272000\", alpha=\"0.04\", expect_size=\"24908800\"] \n  34 -> 35 [size =\"24908800\"]\n  35 [size=\"49000960\", alpha=\"0.02\", expect_size=\"19600384\"] \n  35 -> 36 [size =\"19600384\"]\n  36 [size=\"84492800\", alpha=\"0.15\", expect_size=\"33797120\"] \n  36 -> 37 [size =\"33797120\"]\n  37 [size=\"67189760\", alpha=\"0.15\", expect_size=\"26875904\"] \n  37 -> 38 [size =\"26875904\"]\n  38 [size=\"100195840\", alpha=\"0.03\", expect_size=\"40078336\"] \n  38 -> 39 [size =\"40078336\"]\n  39 [size=\"39329280\", alpha=\"0.07\", expect_size=\"15731712\"] \n  39 -> 40 [size =\"15731712\"]\n  40 [size=\"42388480\", alpha=\"0.02\", expect_size=\"16955392\"] \n  40 -> 41 [size =\"16955392\"]\n  41 [size=\"72417280\", alpha=\"0.08\", expect_size=\"28966912\"] \n  41 -> 42 [size =\"28966912\"]\n  42 [size=\"114570240\", alpha=\"0.07\", expect_size=\"45828096\"] \n  42 -> 43 [size =\"45828096\"]\n  43 [size=\"19906560\", alpha=\"0.08\", expect_size=\"7962624\"] \n  43 -> 44 [size =\"7962624\"]\n  44 [size=\"48778240\", alpha=\"0.13\", expect_size=\"19511296\"] \n  44 -> 45 [size =\"19511296\"]\n  45 [size=\"69680640\", alpha=\"0.04\", expect_size=\"27872256\"] \n  45 -> 46 [size =\"27872256\"]\n  46 [size=\"79918080\", alpha=\"0.07\", expect_size=\"31967232\"] \n  46 -> 47 [size =\"31967232\"]\n  47 [size=\"50629120\", alpha=\"0.08\", expect_size=\"20251648\"] \n  47 -> 48 [size =\"20251648\"]\n  48 [size=\"20039680\", alpha=\"0.17\", expect_size=\"8015872\"] \n  48 -> 49 [size =\"8015872\"]\n  49 [size=\"35417600\", alpha=\"0.12\", expect_size=\"14167040\"] \n  49 -> 50 [size =\"14167040\"]\n  50 [size=\"77160960\", alpha=\"0.13\", expect_size=\"30864384\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.95.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"81182720\", alpha=\"0.06\", expect_size=\"32473088\"] \n  1 -> 5 [size =\"32473088\"]\n  2 [size=\"115962880\", alpha=\"0.01\", expect_size=\"46385152\"] \n  2 -> 4 [size =\"46385152\"]\n  2 -> 5 [size =\"46385152\"]\n  3 [size=\"61388800\", alpha=\"0.12\", expect_size=\"24555520\"] \n  3 -> 5 [size =\"24555520\"]\n  4 [size=\"122662400\", alpha=\"0.03\", expect_size=\"49064960\"] \n  4 -> 6 [size =\"49064960\"]\n  4 -> 7 [size =\"49064960\"]\n  4 -> 8 [size =\"49064960\"]\n  5 [size=\"106327040\", alpha=\"0.01\", expect_size=\"42530816\"] \n  5 -> 6 [size =\"42530816\"]\n  5 -> 7 [size =\"42530816\"]\n  5 -> 8 [size =\"42530816\"]\n  6 [size=\"123054080\", alpha=\"0.02\", expect_size=\"49221632\"] \n  6 -> 9 [size =\"49221632\"]\n  6 -> 10 [size =\"49221632\"]\n  7 [size=\"15697920\", alpha=\"0.08\", expect_size=\"6279168\"] \n  8 [size=\"115110400\", alpha=\"0.02\", expect_size=\"46044160\"] \n  8 -> 9 [size =\"46044160\"]\n  9 [size=\"110914560\", alpha=\"0.20\", expect_size=\"44365824\"] \n  9 -> 11 [size =\"44365824\"]\n  9 -> 12 [size =\"44365824\"]\n  9 -> 13 [size =\"44365824\"]\n  10 [size=\"77250560\", alpha=\"0.12\", expect_size=\"30900224\"] \n  10 -> 11 [size =\"30900224\"]\n  10 -> 12 [size =\"30900224\"]\n  10 -> 13 [size =\"30900224\"]\n  11 [size=\"45644800\", alpha=\"0.09\", expect_size=\"18257920\"] \n  11 -> 14 [size =\"18257920\"]\n  11 -> 15 [size =\"18257920\"]\n  12 [size=\"80179200\", alpha=\"0.01\", expect_size=\"32071680\"] \n  12 -> 15 [size =\"32071680\"]\n  13 [size=\"89006080\", alpha=\"0.03\", expect_size=\"35602432\"] \n  13 -> 15 [size =\"35602432\"]\n  14 [size=\"43038720\", alpha=\"0.04\", expect_size=\"17215488\"] \n  14 -> 16 [size =\"17215488\"]\n  15 [size=\"61616640\", alpha=\"0.07\", expect_size=\"24646656\"] \n  15 -> 16 [size =\"24646656\"]\n  15 -> 17 [size =\"24646656\"]\n  16 [size=\"65950720\", alpha=\"0.20\", expect_size=\"26380288\"] \n  16 -> 20 [size =\"26380288\"]\n  17 [size=\"75829760\", alpha=\"0.12\", expect_size=\"30331904\"] \n  17 -> 18 [size =\"30331904\"]\n  17 -> 19 [size =\"30331904\"]\n  17 -> 20 [size =\"30331904\"]\n  18 [size=\"124633600\", alpha=\"0.04\", expect_size=\"49853440\"] \n  18 -> 22 [size =\"49853440\"]\n  19 [size=\"17000960\", alpha=\"0.20\", expect_size=\"6800384\"] \n  19 -> 21 [size =\"6800384\"]\n  19 -> 22 [size =\"6800384\"]\n  20 [size=\"14192640\", alpha=\"0.18\", expect_size=\"5677056\"] \n  20 -> 22 [size =\"5677056\"]\n  21 [size=\"82775040\", alpha=\"0.08\", expect_size=\"33110016\"] \n  21 -> 23 [size =\"33110016\"]\n  21 -> 25 [size =\"33110016\"]\n  22 [size=\"17241600\", alpha=\"0.16\", expect_size=\"6896640\"] \n  22 -> 23 [size =\"6896640\"]\n  22 -> 24 [size =\"6896640\"]\n  22 -> 25 [size =\"6896640\"]\n  23 [size=\"21352960\", alpha=\"0.12\", expect_size=\"8541184\"] \n  23 -> 26 [size =\"8541184\"]\n  23 -> 28 [size =\"8541184\"]\n  24 [size=\"40709120\", alpha=\"0.06\", expect_size=\"16283648\"] \n  24 -> 28 [size =\"16283648\"]\n  25 [size=\"66557440\", alpha=\"0.17\", expect_size=\"26622976\"] \n  25 -> 26 [size =\"26622976\"]\n  25 -> 27 [size =\"26622976\"]\n  26 [size=\"107328000\", alpha=\"0.06\", expect_size=\"42931200\"] \n  26 -> 29 [size =\"42931200\"]\n  26 -> 30 [size =\"42931200\"]\n  26 -> 31 [size =\"42931200\"]\n  27 [size=\"106278400\", alpha=\"0.15\", expect_size=\"42511360\"] \n  27 -> 30 [size =\"42511360\"]\n  27 -> 31 [size =\"42511360\"]\n  28 [size=\"61422080\", alpha=\"0.02\", expect_size=\"24568832\"] \n  28 -> 29 [size =\"24568832\"]\n  28 -> 31 [size =\"24568832\"]\n  29 [size=\"82398720\", alpha=\"0.05\", expect_size=\"32959488\"] \n  29 -> 32 [size =\"32959488\"]\n  29 -> 34 [size =\"32959488\"]\n  30 [size=\"79495680\", alpha=\"0.19\", expect_size=\"31798272\"] \n  30 -> 32 [size =\"31798272\"]\n  30 -> 33 [size =\"31798272\"]\n  31 [size=\"68994560\", alpha=\"0.19\", expect_size=\"27597824\"] \n  31 -> 32 [size =\"27597824\"]\n  31 -> 33 [size =\"27597824\"]\n  32 [size=\"118973440\", alpha=\"0.10\", expect_size=\"47589376\"] \n  32 -> 35 [size =\"47589376\"]\n  33 [size=\"96355840\", alpha=\"0.13\", expect_size=\"38542336\"] \n  33 -> 35 [size =\"38542336\"]\n  34 [size=\"49425920\", alpha=\"0.02\", expect_size=\"19770368\"] \n  34 -> 35 [size =\"19770368\"]\n  34 -> 36 [size =\"19770368\"]\n  35 [size=\"87744000\", alpha=\"0.19\", expect_size=\"35097600\"] \n  35 -> 37 [size =\"35097600\"]\n  35 -> 39 [size =\"35097600\"]\n  36 [size=\"68595200\", alpha=\"0.06\", expect_size=\"27438080\"] \n  36 -> 38 [size =\"27438080\"]\n  36 -> 39 [size =\"27438080\"]\n  37 [size=\"101931520\", alpha=\"0.02\", expect_size=\"40772608\"] \n  37 -> 40 [size =\"40772608\"]\n  37 -> 41 [size =\"40772608\"]\n  38 [size=\"72378880\", alpha=\"0.18\", expect_size=\"28951552\"] \n  38 -> 40 [size =\"28951552\"]\n  38 -> 41 [size =\"28951552\"]\n  39 [size=\"81943040\", alpha=\"0.14\", expect_size=\"32777216\"] \n  39 -> 40 [size =\"32777216\"]\n  39 -> 41 [size =\"32777216\"]\n  39 -> 42 [size =\"32777216\"]\n  40 [size=\"110469120\", alpha=\"0.11\", expect_size=\"44187648\"] \n  41 [size=\"104138240\", alpha=\"0.19\", expect_size=\"41655296\"] \n  41 -> 43 [size =\"41655296\"]\n  41 -> 44 [size =\"41655296\"]\n  42 [size=\"95485440\", alpha=\"0.08\", expect_size=\"38194176\"] \n  42 -> 43 [size =\"38194176\"]\n  42 -> 44 [size =\"38194176\"]\n  43 [size=\"33623040\", alpha=\"0.18\", expect_size=\"13449216\"] \n  43 -> 45 [size =\"13449216\"]\n  43 -> 46 [size =\"13449216\"]\n  43 -> 47 [size =\"13449216\"]\n  44 [size=\"112412160\", alpha=\"0.14\", expect_size=\"44964864\"] \n  44 -> 45 [size =\"44964864\"]\n  44 -> 46 [size =\"44964864\"]\n  44 -> 47 [size =\"44964864\"]\n  45 [size=\"125857280\", alpha=\"0.18\", expect_size=\"50342912\"] \n  45 -> 48 [size =\"50342912\"]\n  46 [size=\"122467840\", alpha=\"0.18\", expect_size=\"48987136\"] \n  46 -> 49 [size =\"48987136\"]\n  46 -> 50 [size =\"48987136\"]\n  47 [size=\"37125120\", alpha=\"0.14\", expect_size=\"14850048\"] \n  47 -> 49 [size =\"14850048\"]\n  47 -> 50 [size =\"14850048\"]\n  48 [size=\"50513920\", alpha=\"0.18\", expect_size=\"20205568\"] \n  49 [size=\"38231040\", alpha=\"0.14\", expect_size=\"15292416\"] \n  50 [size=\"122140160\", alpha=\"0.01\", expect_size=\"48856064\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.96.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.7 --regular 0.5 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"105484800\", alpha=\"0.10\", expect_size=\"42193920\"] \n  1 -> 12 [size =\"42193920\"]\n  1 -> 13 [size =\"42193920\"]\n  1 -> 19 [size =\"42193920\"]\n  1 -> 21 [size =\"42193920\"]\n  1 -> 22 [size =\"42193920\"]\n  1 -> 23 [size =\"42193920\"]\n  1 -> 24 [size =\"42193920\"]\n  1 -> 25 [size =\"42193920\"]\n  1 -> 27 [size =\"42193920\"]\n  1 -> 28 [size =\"42193920\"]\n  2 [size=\"50048000\", alpha=\"0.09\", expect_size=\"20019200\"] \n  2 -> 9 [size =\"20019200\"]\n  2 -> 10 [size =\"20019200\"]\n  2 -> 13 [size =\"20019200\"]\n  2 -> 16 [size =\"20019200\"]\n  2 -> 17 [size =\"20019200\"]\n  2 -> 19 [size =\"20019200\"]\n  2 -> 21 [size =\"20019200\"]\n  2 -> 23 [size =\"20019200\"]\n  2 -> 27 [size =\"20019200\"]\n  2 -> 28 [size =\"20019200\"]\n  2 -> 29 [size =\"20019200\"]\n  3 [size=\"14679040\", alpha=\"0.10\", expect_size=\"5871616\"] \n  3 -> 10 [size =\"5871616\"]\n  3 -> 10 [size =\"5871616\"]\n  3 -> 12 [size =\"5871616\"]\n  3 -> 13 [size =\"5871616\"]\n  3 -> 17 [size =\"5871616\"]\n  3 -> 18 [size =\"5871616\"]\n  3 -> 19 [size =\"5871616\"]\n  3 -> 21 [size =\"5871616\"]\n  3 -> 23 [size =\"5871616\"]\n  3 -> 24 [size =\"5871616\"]\n  3 -> 27 [size =\"5871616\"]\n  3 -> 28 [size =\"5871616\"]\n  3 -> 29 [size =\"5871616\"]\n  4 [size=\"44769280\", alpha=\"0.08\", expect_size=\"17907712\"] \n  4 -> 9 [size =\"17907712\"]\n  4 -> 11 [size =\"17907712\"]\n  4 -> 12 [size =\"17907712\"]\n  4 -> 14 [size =\"17907712\"]\n  4 -> 17 [size =\"17907712\"]\n  4 -> 18 [size =\"17907712\"]\n  4 -> 19 [size =\"17907712\"]\n  4 -> 20 [size =\"17907712\"]\n  4 -> 21 [size =\"17907712\"]\n  4 -> 22 [size =\"17907712\"]\n  4 -> 23 [size =\"17907712\"]\n  4 -> 24 [size =\"17907712\"]\n  4 -> 28 [size =\"17907712\"]\n  4 -> 29 [size =\"17907712\"]\n  5 [size=\"88061440\", alpha=\"0.03\", expect_size=\"35224576\"] \n  5 -> 12 [size =\"35224576\"]\n  5 -> 14 [size =\"35224576\"]\n  5 -> 17 [size =\"35224576\"]\n  5 -> 19 [size =\"35224576\"]\n  5 -> 20 [size =\"35224576\"]\n  5 -> 21 [size =\"35224576\"]\n  5 -> 23 [size =\"35224576\"]\n  5 -> 24 [size =\"35224576\"]\n  5 -> 26 [size =\"35224576\"]\n  5 -> 28 [size =\"35224576\"]\n  5 -> 29 [size =\"35224576\"]\n  6 [size=\"27299840\", alpha=\"0.10\", expect_size=\"10919936\"] \n  6 -> 10 [size =\"10919936\"]\n  6 -> 12 [size =\"10919936\"]\n  6 -> 13 [size =\"10919936\"]\n  6 -> 14 [size =\"10919936\"]\n  6 -> 15 [size =\"10919936\"]\n  6 -> 16 [size =\"10919936\"]\n  6 -> 17 [size =\"10919936\"]\n  6 -> 18 [size =\"10919936\"]\n  6 -> 20 [size =\"10919936\"]\n  6 -> 21 [size =\"10919936\"]\n  6 -> 22 [size =\"10919936\"]\n  6 -> 23 [size =\"10919936\"]\n  6 -> 24 [size =\"10919936\"]\n  6 -> 25 [size =\"10919936\"]\n  6 -> 28 [size =\"10919936\"]\n  6 -> 29 [size =\"10919936\"]\n  7 [size=\"119680000\", alpha=\"0.17\", expect_size=\"47872000\"] \n  7 -> 11 [size =\"47872000\"]\n  7 -> 12 [size =\"47872000\"]\n  7 -> 14 [size =\"47872000\"]\n  7 -> 16 [size =\"47872000\"]\n  7 -> 17 [size =\"47872000\"]\n  7 -> 20 [size =\"47872000\"]\n  7 -> 21 [size =\"47872000\"]\n  7 -> 24 [size =\"47872000\"]\n  7 -> 25 [size =\"47872000\"]\n  7 -> 27 [size =\"47872000\"]\n  7 -> 28 [size =\"47872000\"]\n  7 -> 29 [size =\"47872000\"]\n  8 [size=\"17441280\", alpha=\"0.11\", expect_size=\"6976512\"] \n  8 -> 9 [size =\"6976512\"]\n  8 -> 12 [size =\"6976512\"]\n  8 -> 14 [size =\"6976512\"]\n  8 -> 16 [size =\"6976512\"]\n  8 -> 17 [size =\"6976512\"]\n  8 -> 21 [size =\"6976512\"]\n  8 -> 23 [size =\"6976512\"]\n  8 -> 26 [size =\"6976512\"]\n  8 -> 27 [size =\"6976512\"]\n  8 -> 28 [size =\"6976512\"]\n  8 -> 29 [size =\"6976512\"]\n  8 -> 29 [size =\"6976512\"]\n  9 [size=\"13665280\", alpha=\"0.14\", expect_size=\"5466112\"] \n  9 -> 31 [size =\"5466112\"]\n  9 -> 32 [size =\"5466112\"]\n  9 -> 34 [size =\"5466112\"]\n  9 -> 36 [size =\"5466112\"]\n  9 -> 37 [size =\"5466112\"]\n  9 -> 39 [size =\"5466112\"]\n  9 -> 40 [size =\"5466112\"]\n  9 -> 42 [size =\"5466112\"]\n  9 -> 47 [size =\"5466112\"]\n  9 -> 48 [size =\"5466112\"]\n  9 -> 49 [size =\"5466112\"]\n  9 -> 50 [size =\"5466112\"]\n  10 [size=\"59571200\", alpha=\"0.12\", expect_size=\"23828480\"] \n  10 -> 31 [size =\"23828480\"]\n  10 -> 33 [size =\"23828480\"]\n  10 -> 37 [size =\"23828480\"]\n  10 -> 39 [size =\"23828480\"]\n  10 -> 42 [size =\"23828480\"]\n  10 -> 43 [size =\"23828480\"]\n  10 -> 47 [size =\"23828480\"]\n  10 -> 48 [size =\"23828480\"]\n  10 -> 49 [size =\"23828480\"]\n  11 [size=\"57886720\", alpha=\"0.10\", expect_size=\"23154688\"] \n  11 -> 31 [size =\"23154688\"]\n  11 -> 35 [size =\"23154688\"]\n  11 -> 36 [size =\"23154688\"]\n  11 -> 39 [size =\"23154688\"]\n  11 -> 42 [size =\"23154688\"]\n  11 -> 46 [size =\"23154688\"]\n  11 -> 48 [size =\"23154688\"]\n  11 -> 49 [size =\"23154688\"]\n  12 [size=\"115724800\", alpha=\"0.11\", expect_size=\"46289920\"] \n  12 -> 31 [size =\"46289920\"]\n  12 -> 36 [size =\"46289920\"]\n  12 -> 38 [size =\"46289920\"]\n  12 -> 40 [size =\"46289920\"]\n  12 -> 41 [size =\"46289920\"]\n  12 -> 42 [size =\"46289920\"]\n  12 -> 47 [size =\"46289920\"]\n  12 -> 48 [size =\"46289920\"]\n  13 [size=\"50035200\", alpha=\"0.10\", expect_size=\"20014080\"] \n  13 -> 31 [size =\"20014080\"]\n  13 -> 32 [size =\"20014080\"]\n  13 -> 38 [size =\"20014080\"]\n  13 -> 39 [size =\"20014080\"]\n  13 -> 40 [size =\"20014080\"]\n  13 -> 42 [size =\"20014080\"]\n  13 -> 43 [size =\"20014080\"]\n  13 -> 45 [size =\"20014080\"]\n  13 -> 47 [size =\"20014080\"]\n  13 -> 48 [size =\"20014080\"]\n  13 -> 50 [size =\"20014080\"]\n  14 [size=\"109089280\", alpha=\"0.07\", expect_size=\"43635712\"] \n  14 -> 35 [size =\"43635712\"]\n  14 -> 37 [size =\"43635712\"]\n  14 -> 38 [size =\"43635712\"]\n  14 -> 40 [size =\"43635712\"]\n  14 -> 43 [size =\"43635712\"]\n  14 -> 45 [size =\"43635712\"]\n  14 -> 49 [size =\"43635712\"]\n  14 -> 50 [size =\"43635712\"]\n  15 [size=\"35438080\", alpha=\"0.17\", expect_size=\"14175232\"] \n  15 -> 31 [size =\"14175232\"]\n  15 -> 36 [size =\"14175232\"]\n  15 -> 38 [size =\"14175232\"]\n  15 -> 40 [size =\"14175232\"]\n  15 -> 42 [size =\"14175232\"]\n  15 -> 43 [size =\"14175232\"]\n  15 -> 45 [size =\"14175232\"]\n  15 -> 48 [size =\"14175232\"]\n  15 -> 50 [size =\"14175232\"]\n  16 [size=\"51799040\", alpha=\"0.06\", expect_size=\"20719616\"] \n  16 -> 30 [size =\"20719616\"]\n  16 -> 31 [size =\"20719616\"]\n  16 -> 37 [size =\"20719616\"]\n  16 -> 38 [size =\"20719616\"]\n  16 -> 40 [size =\"20719616\"]\n  16 -> 42 [size =\"20719616\"]\n  16 -> 43 [size =\"20719616\"]\n  16 -> 45 [size =\"20719616\"]\n  16 -> 46 [size =\"20719616\"]\n  16 -> 50 [size =\"20719616\"]\n  17 [size=\"112458240\", alpha=\"0.11\", expect_size=\"44983296\"] \n  17 -> 31 [size =\"44983296\"]\n  17 -> 34 [size =\"44983296\"]\n  17 -> 36 [size =\"44983296\"]\n  17 -> 37 [size =\"44983296\"]\n  17 -> 38 [size =\"44983296\"]\n  17 -> 39 [size =\"44983296\"]\n  17 -> 40 [size =\"44983296\"]\n  17 -> 41 [size =\"44983296\"]\n  17 -> 42 [size =\"44983296\"]\n  17 -> 43 [size =\"44983296\"]\n  17 -> 44 [size =\"44983296\"]\n  17 -> 45 [size =\"44983296\"]\n  17 -> 46 [size =\"44983296\"]\n  17 -> 47 [size =\"44983296\"]\n  17 -> 49 [size =\"44983296\"]\n  17 -> 50 [size =\"44983296\"]\n  18 [size=\"93667840\", alpha=\"0.19\", expect_size=\"37467136\"] \n  18 -> 30 [size =\"37467136\"]\n  18 -> 36 [size =\"37467136\"]\n  18 -> 38 [size =\"37467136\"]\n  18 -> 39 [size =\"37467136\"]\n  18 -> 40 [size =\"37467136\"]\n  18 -> 41 [size =\"37467136\"]\n  18 -> 42 [size =\"37467136\"]\n  18 -> 46 [size =\"37467136\"]\n  18 -> 47 [size =\"37467136\"]\n  18 -> 48 [size =\"37467136\"]\n  18 -> 50 [size =\"37467136\"]\n  19 [size=\"41630720\", alpha=\"0.11\", expect_size=\"16652288\"] \n  19 -> 30 [size =\"16652288\"]\n  19 -> 31 [size =\"16652288\"]\n  19 -> 36 [size =\"16652288\"]\n  19 -> 37 [size =\"16652288\"]\n  19 -> 38 [size =\"16652288\"]\n  19 -> 39 [size =\"16652288\"]\n  19 -> 40 [size =\"16652288\"]\n  19 -> 41 [size =\"16652288\"]\n  19 -> 42 [size =\"16652288\"]\n  19 -> 43 [size =\"16652288\"]\n  19 -> 45 [size =\"16652288\"]\n  19 -> 47 [size =\"16652288\"]\n  19 -> 48 [size =\"16652288\"]\n  19 -> 50 [size =\"16652288\"]\n  20 [size=\"123658240\", alpha=\"0.05\", expect_size=\"49463296\"] \n  20 -> 31 [size =\"49463296\"]\n  20 -> 32 [size =\"49463296\"]\n  20 -> 38 [size =\"49463296\"]\n  20 -> 40 [size =\"49463296\"]\n  20 -> 43 [size =\"49463296\"]\n  20 -> 47 [size =\"49463296\"]\n  20 -> 48 [size =\"49463296\"]\n  20 -> 49 [size =\"49463296\"]\n  20 -> 50 [size =\"49463296\"]\n  21 [size=\"75983360\", alpha=\"0.15\", expect_size=\"30393344\"] \n  21 -> 30 [size =\"30393344\"]\n  21 -> 31 [size =\"30393344\"]\n  21 -> 36 [size =\"30393344\"]\n  21 -> 38 [size =\"30393344\"]\n  21 -> 40 [size =\"30393344\"]\n  21 -> 42 [size =\"30393344\"]\n  21 -> 43 [size =\"30393344\"]\n  21 -> 45 [size =\"30393344\"]\n  21 -> 48 [size =\"30393344\"]\n  21 -> 49 [size =\"30393344\"]\n  21 -> 50 [size =\"30393344\"]\n  22 [size=\"15393280\", alpha=\"0.11\", expect_size=\"6157312\"] \n  22 -> 30 [size =\"6157312\"]\n  22 -> 34 [size =\"6157312\"]\n  22 -> 35 [size =\"6157312\"]\n  22 -> 36 [size =\"6157312\"]\n  22 -> 38 [size =\"6157312\"]\n  22 -> 40 [size =\"6157312\"]\n  22 -> 41 [size =\"6157312\"]\n  22 -> 43 [size =\"6157312\"]\n  22 -> 47 [size =\"6157312\"]\n  22 -> 48 [size =\"6157312\"]\n  22 -> 49 [size =\"6157312\"]\n  22 -> 50 [size =\"6157312\"]\n  23 [size=\"81873920\", alpha=\"0.07\", expect_size=\"32749568\"] \n  23 -> 30 [size =\"32749568\"]\n  23 -> 36 [size =\"32749568\"]\n  23 -> 38 [size =\"32749568\"]\n  23 -> 39 [size =\"32749568\"]\n  23 -> 40 [size =\"32749568\"]\n  23 -> 40 [size =\"32749568\"]\n  23 -> 43 [size =\"32749568\"]\n  23 -> 48 [size =\"32749568\"]\n  23 -> 49 [size =\"32749568\"]\n  23 -> 50 [size =\"32749568\"]\n  24 [size=\"24849920\", alpha=\"0.09\", expect_size=\"9939968\"] \n  24 -> 30 [size =\"9939968\"]\n  24 -> 31 [size =\"9939968\"]\n  24 -> 36 [size =\"9939968\"]\n  24 -> 38 [size =\"9939968\"]\n  24 -> 39 [size =\"9939968\"]\n  24 -> 40 [size =\"9939968\"]\n  24 -> 41 [size =\"9939968\"]\n  24 -> 42 [size =\"9939968\"]\n  24 -> 43 [size =\"9939968\"]\n  24 -> 45 [size =\"9939968\"]\n  24 -> 48 [size =\"9939968\"]\n  24 -> 49 [size =\"9939968\"]\n  24 -> 50 [size =\"9939968\"]\n  25 [size=\"67916800\", alpha=\"0.03\", expect_size=\"27166720\"] \n  25 -> 30 [size =\"27166720\"]\n  25 -> 31 [size =\"27166720\"]\n  25 -> 36 [size =\"27166720\"]\n  25 -> 38 [size =\"27166720\"]\n  25 -> 39 [size =\"27166720\"]\n  25 -> 40 [size =\"27166720\"]\n  25 -> 42 [size =\"27166720\"]\n  25 -> 43 [size =\"27166720\"]\n  25 -> 43 [size =\"27166720\"]\n  25 -> 45 [size =\"27166720\"]\n  25 -> 47 [size =\"27166720\"]\n  25 -> 48 [size =\"27166720\"]\n  26 [size=\"52876800\", alpha=\"0.00\", expect_size=\"21150720\"] \n  26 -> 31 [size =\"21150720\"]\n  26 -> 32 [size =\"21150720\"]\n  26 -> 36 [size =\"21150720\"]\n  26 -> 39 [size =\"21150720\"]\n  26 -> 39 [size =\"21150720\"]\n  26 -> 40 [size =\"21150720\"]\n  26 -> 42 [size =\"21150720\"]\n  26 -> 43 [size =\"21150720\"]\n  26 -> 49 [size =\"21150720\"]\n  26 -> 50 [size =\"21150720\"]\n  27 [size=\"85944320\", alpha=\"0.15\", expect_size=\"34377728\"] \n  27 -> 32 [size =\"34377728\"]\n  27 -> 33 [size =\"34377728\"]\n  27 -> 34 [size =\"34377728\"]\n  27 -> 36 [size =\"34377728\"]\n  27 -> 37 [size =\"34377728\"]\n  27 -> 38 [size =\"34377728\"]\n  27 -> 39 [size =\"34377728\"]\n  27 -> 40 [size =\"34377728\"]\n  27 -> 42 [size =\"34377728\"]\n  27 -> 44 [size =\"34377728\"]\n  27 -> 49 [size =\"34377728\"]\n  28 [size=\"34736640\", alpha=\"0.10\", expect_size=\"13894656\"] \n  28 -> 30 [size =\"13894656\"]\n  28 -> 37 [size =\"13894656\"]\n  28 -> 38 [size =\"13894656\"]\n  28 -> 39 [size =\"13894656\"]\n  28 -> 42 [size =\"13894656\"]\n  28 -> 45 [size =\"13894656\"]\n  28 -> 47 [size =\"13894656\"]\n  28 -> 48 [size =\"13894656\"]\n  28 -> 50 [size =\"13894656\"]\n  29 [size=\"27993600\", alpha=\"0.06\", expect_size=\"11197440\"] \n  29 -> 31 [size =\"11197440\"]\n  29 -> 36 [size =\"11197440\"]\n  29 -> 37 [size =\"11197440\"]\n  29 -> 38 [size =\"11197440\"]\n  29 -> 39 [size =\"11197440\"]\n  29 -> 42 [size =\"11197440\"]\n  29 -> 45 [size =\"11197440\"]\n  29 -> 46 [size =\"11197440\"]\n  29 -> 47 [size =\"11197440\"]\n  29 -> 48 [size =\"11197440\"]\n  29 -> 49 [size =\"11197440\"]\n  29 -> 50 [size =\"11197440\"]\n  30 [size=\"94840320\", alpha=\"0.10\", expect_size=\"37936128\"] \n  31 [size=\"126673920\", alpha=\"0.01\", expect_size=\"50669568\"] \n  32 [size=\"97912320\", alpha=\"0.09\", expect_size=\"39164928\"] \n  33 [size=\"45491200\", alpha=\"0.04\", expect_size=\"18196480\"] \n  34 [size=\"88952320\", alpha=\"0.15\", expect_size=\"35580928\"] \n  35 [size=\"24028160\", alpha=\"0.10\", expect_size=\"9611264\"] \n  36 [size=\"43640320\", alpha=\"0.11\", expect_size=\"17456128\"] \n  37 [size=\"44016640\", alpha=\"0.09\", expect_size=\"17606656\"] \n  38 [size=\"13770240\", alpha=\"0.01\", expect_size=\"5508096\"] \n  39 [size=\"75200000\", alpha=\"0.18\", expect_size=\"30080000\"] \n  40 [size=\"110899200\", alpha=\"0.14\", expect_size=\"44359680\"] \n  41 [size=\"49367040\", alpha=\"0.20\", expect_size=\"19746816\"] \n  42 [size=\"53352960\", alpha=\"0.06\", expect_size=\"21341184\"] \n  43 [size=\"107509760\", alpha=\"0.04\", expect_size=\"43003904\"] \n  44 [size=\"130800640\", alpha=\"0.05\", expect_size=\"52320256\"] \n  45 [size=\"101240320\", alpha=\"0.14\", expect_size=\"40496128\"] \n  46 [size=\"41164800\", alpha=\"0.10\", expect_size=\"16465920\"] \n  47 [size=\"107230720\", alpha=\"0.19\", expect_size=\"42892288\"] \n  48 [size=\"44897280\", alpha=\"0.11\", expect_size=\"17958912\"] \n  49 [size=\"52687360\", alpha=\"0.06\", expect_size=\"21074944\"] \n  50 [size=\"41162240\", alpha=\"0.14\", expect_size=\"16464896\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.97.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.4 --fat 0.3 --regular 0.7 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"40020480\", alpha=\"0.10\", expect_size=\"16008192\"] \n  1 -> 4 [size =\"16008192\"]\n  1 -> 5 [size =\"16008192\"]\n  2 [size=\"35207680\", alpha=\"0.10\", expect_size=\"14083072\"] \n  3 [size=\"52172800\", alpha=\"0.08\", expect_size=\"20869120\"] \n  3 -> 4 [size =\"20869120\"]\n  3 -> 6 [size =\"20869120\"]\n  4 [size=\"48954880\", alpha=\"0.02\", expect_size=\"19581952\"] \n  4 -> 8 [size =\"19581952\"]\n  4 -> 9 [size =\"19581952\"]\n  5 [size=\"24811520\", alpha=\"0.14\", expect_size=\"9924608\"] \n  5 -> 7 [size =\"9924608\"]\n  5 -> 8 [size =\"9924608\"]\n  5 -> 9 [size =\"9924608\"]\n  6 [size=\"74644480\", alpha=\"0.13\", expect_size=\"29857792\"] \n  7 [size=\"78676480\", alpha=\"0.14\", expect_size=\"31470592\"] \n  7 -> 10 [size =\"31470592\"]\n  7 -> 11 [size =\"31470592\"]\n  8 [size=\"41103360\", alpha=\"0.10\", expect_size=\"16441344\"] \n  8 -> 10 [size =\"16441344\"]\n  9 [size=\"49320960\", alpha=\"0.08\", expect_size=\"19728384\"] \n  10 [size=\"114565120\", alpha=\"0.11\", expect_size=\"45826048\"] \n  11 [size=\"56168960\", alpha=\"0.14\", expect_size=\"22467584\"] \n  11 -> 12 [size =\"22467584\"]\n  11 -> 13 [size =\"22467584\"]\n  11 -> 14 [size =\"22467584\"]\n  12 [size=\"116308480\", alpha=\"0.15\", expect_size=\"46523392\"] \n  12 -> 16 [size =\"46523392\"]\n  13 [size=\"56555520\", alpha=\"0.05\", expect_size=\"22622208\"] \n  14 [size=\"102888960\", alpha=\"0.11\", expect_size=\"41155584\"] \n  14 -> 15 [size =\"41155584\"]\n  14 -> 17 [size =\"41155584\"]\n  15 [size=\"117314560\", alpha=\"0.12\", expect_size=\"46925824\"] \n  16 [size=\"83386880\", alpha=\"0.08\", expect_size=\"33354752\"] \n  16 -> 18 [size =\"33354752\"]\n  16 -> 19 [size =\"33354752\"]\n  17 [size=\"41292800\", alpha=\"0.17\", expect_size=\"16517120\"] \n  18 [size=\"123381760\", alpha=\"0.06\", expect_size=\"49352704\"] \n  19 [size=\"66580480\", alpha=\"0.14\", expect_size=\"26632192\"] \n  19 -> 20 [size =\"26632192\"]\n  19 -> 21 [size =\"26632192\"]\n  19 -> 22 [size =\"26632192\"]\n  20 [size=\"110835200\", alpha=\"0.19\", expect_size=\"44334080\"] \n  20 -> 24 [size =\"44334080\"]\n  21 [size=\"56529920\", alpha=\"0.08\", expect_size=\"22611968\"] \n  21 -> 23 [size =\"22611968\"]\n  21 -> 24 [size =\"22611968\"]\n  22 [size=\"20572160\", alpha=\"0.02\", expect_size=\"8228864\"] \n  23 [size=\"111874560\", alpha=\"0.02\", expect_size=\"44749824\"] \n  23 -> 26 [size =\"44749824\"]\n  24 [size=\"23080960\", alpha=\"0.08\", expect_size=\"9232384\"] \n  24 -> 25 [size =\"9232384\"]\n  24 -> 27 [size =\"9232384\"]\n  25 [size=\"89623040\", alpha=\"0.16\", expect_size=\"35849216\"] \n  25 -> 29 [size =\"35849216\"]\n  26 [size=\"43161600\", alpha=\"0.14\", expect_size=\"17264640\"] \n  26 -> 30 [size =\"17264640\"]\n  27 [size=\"90959360\", alpha=\"0.04\", expect_size=\"36383744\"] \n  27 -> 28 [size =\"36383744\"]\n  28 [size=\"75573760\", alpha=\"0.18\", expect_size=\"30229504\"] \n  28 -> 33 [size =\"30229504\"]\n  29 [size=\"111406080\", alpha=\"0.19\", expect_size=\"44562432\"] \n  29 -> 32 [size =\"44562432\"]\n  30 [size=\"74531840\", alpha=\"0.16\", expect_size=\"29812736\"] \n  30 -> 31 [size =\"29812736\"]\n  31 [size=\"67304960\", alpha=\"0.01\", expect_size=\"26921984\"] \n  31 -> 34 [size =\"26921984\"]\n  32 [size=\"116638720\", alpha=\"0.04\", expect_size=\"46655488\"] \n  32 -> 35 [size =\"46655488\"]\n  33 [size=\"126673920\", alpha=\"0.13\", expect_size=\"50669568\"] \n  33 -> 34 [size =\"50669568\"]\n  33 -> 35 [size =\"50669568\"]\n  34 [size=\"18508800\", alpha=\"0.18\", expect_size=\"7403520\"] \n  35 [size=\"63925760\", alpha=\"0.01\", expect_size=\"25570304\"] \n  35 -> 36 [size =\"25570304\"]\n  35 -> 37 [size =\"25570304\"]\n  35 -> 38 [size =\"25570304\"]\n  36 [size=\"38694400\", alpha=\"0.16\", expect_size=\"15477760\"] \n  37 [size=\"122324480\", alpha=\"0.15\", expect_size=\"48929792\"] \n  37 -> 39 [size =\"48929792\"]\n  38 [size=\"26485760\", alpha=\"0.13\", expect_size=\"10594304\"] \n  38 -> 40 [size =\"10594304\"]\n  38 -> 41 [size =\"10594304\"]\n  39 [size=\"15106560\", alpha=\"0.01\", expect_size=\"6042624\"] \n  39 -> 43 [size =\"6042624\"]\n  39 -> 44 [size =\"6042624\"]\n  40 [size=\"124405760\", alpha=\"0.04\", expect_size=\"49762304\"] \n  40 -> 42 [size =\"49762304\"]\n  41 [size=\"101941760\", alpha=\"0.15\", expect_size=\"40776704\"] \n  41 -> 42 [size =\"40776704\"]\n  41 -> 43 [size =\"40776704\"]\n  42 [size=\"108748800\", alpha=\"0.08\", expect_size=\"43499520\"] \n  42 -> 45 [size =\"43499520\"]\n  42 -> 46 [size =\"43499520\"]\n  42 -> 47 [size =\"43499520\"]\n  43 [size=\"130060800\", alpha=\"0.17\", expect_size=\"52024320\"] \n  44 [size=\"91366400\", alpha=\"0.08\", expect_size=\"36546560\"] \n  45 [size=\"82444800\", alpha=\"0.11\", expect_size=\"32977920\"] \n  45 -> 49 [size =\"32977920\"]\n  46 [size=\"89546240\", alpha=\"0.00\", expect_size=\"35818496\"] \n  46 -> 49 [size =\"35818496\"]\n  47 [size=\"64980480\", alpha=\"0.02\", expect_size=\"25992192\"] \n  47 -> 48 [size =\"25992192\"]\n  48 [size=\"36940800\", alpha=\"0.15\", expect_size=\"14776320\"] \n  48 -> 50 [size =\"14776320\"]\n  49 [size=\"115701760\", alpha=\"0.04\", expect_size=\"46280704\"] \n  50 [size=\"118807040\", alpha=\"0.04\", expect_size=\"47522816\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.98.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.3 --fat 0.5 --regular 0.5 --density 0.5 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"151753387\", alpha=\"0.13\", expect_size=\"45526016\"] \n  2 [size=\"76584960\", alpha=\"0.07\", expect_size=\"22975488\"] \n  3 [size=\"92453547\", alpha=\"0.14\", expect_size=\"27736064\"] \n  3 -> 9 [size =\"27736064\"]\n  4 [size=\"79889067\", alpha=\"0.16\", expect_size=\"23966720\"] \n  5 [size=\"115783680\", alpha=\"0.07\", expect_size=\"34735104\"] \n  5 -> 8 [size =\"34735104\"]\n  5 -> 9 [size =\"34735104\"]\n  5 -> 10 [size =\"34735104\"]\n  6 [size=\"89985707\", alpha=\"0.08\", expect_size=\"26995712\"] \n  6 -> 8 [size =\"26995712\"]\n  7 [size=\"142370133\", alpha=\"0.19\", expect_size=\"42711040\"] \n  8 [size=\"153838933\", alpha=\"0.00\", expect_size=\"46151680\"] \n  8 -> 11 [size =\"46151680\"]\n  8 -> 12 [size =\"46151680\"]\n  8 -> 14 [size =\"46151680\"]\n  9 [size=\"106373120\", alpha=\"0.13\", expect_size=\"31911936\"] \n  9 -> 13 [size =\"31911936\"]\n  9 -> 15 [size =\"31911936\"]\n  9 -> 16 [size =\"31911936\"]\n  9 -> 17 [size =\"31911936\"]\n  9 -> 18 [size =\"31911936\"]\n  10 [size=\"165492053\", alpha=\"0.18\", expect_size=\"49647616\"] \n  10 -> 12 [size =\"49647616\"]\n  10 -> 17 [size =\"49647616\"]\n  10 -> 18 [size =\"49647616\"]\n  11 [size=\"113254400\", alpha=\"0.08\", expect_size=\"33976320\"] \n  11 -> 19 [size =\"33976320\"]\n  11 -> 23 [size =\"33976320\"]\n  12 [size=\"58443093\", alpha=\"0.19\", expect_size=\"17532928\"] \n  12 -> 20 [size =\"17532928\"]\n  12 -> 22 [size =\"17532928\"]\n  12 -> 23 [size =\"17532928\"]\n  13 [size=\"112872107\", alpha=\"0.14\", expect_size=\"33861632\"] \n  13 -> 20 [size =\"33861632\"]\n  13 -> 22 [size =\"33861632\"]\n  13 -> 24 [size =\"33861632\"]\n  14 [size=\"65761280\", alpha=\"0.15\", expect_size=\"19728384\"] \n  14 -> 22 [size =\"19728384\"]\n  15 [size=\"35751253\", alpha=\"0.17\", expect_size=\"10725376\"] \n  15 -> 19 [size =\"10725376\"]\n  15 -> 21 [size =\"10725376\"]\n  16 [size=\"87927467\", alpha=\"0.03\", expect_size=\"26378240\"] \n  16 -> 19 [size =\"26378240\"]\n  17 [size=\"151722667\", alpha=\"0.13\", expect_size=\"45516800\"] \n  17 -> 19 [size =\"45516800\"]\n  17 -> 20 [size =\"45516800\"]\n  18 [size=\"145363627\", alpha=\"0.13\", expect_size=\"43609088\"] \n  18 -> 20 [size =\"43609088\"]\n  18 -> 22 [size =\"43609088\"]\n  18 -> 23 [size =\"43609088\"]\n  18 -> 25 [size =\"43609088\"]\n  19 [size=\"147531093\", alpha=\"0.05\", expect_size=\"44259328\"] \n  19 -> 28 [size =\"44259328\"]\n  19 -> 29 [size =\"44259328\"]\n  19 -> 30 [size =\"44259328\"]\n  19 -> 31 [size =\"44259328\"]\n  20 [size=\"91217920\", alpha=\"0.01\", expect_size=\"27365376\"] \n  20 -> 31 [size =\"27365376\"]\n  20 -> 32 [size =\"27365376\"]\n  21 [size=\"75659947\", alpha=\"0.15\", expect_size=\"22697984\"] \n  22 [size=\"137642667\", alpha=\"0.17\", expect_size=\"41292800\"] \n  23 [size=\"130088960\", alpha=\"0.07\", expect_size=\"39026688\"] \n  23 -> 26 [size =\"39026688\"]\n  23 -> 27 [size =\"39026688\"]\n  23 -> 29 [size =\"39026688\"]\n  24 [size=\"81100800\", alpha=\"0.06\", expect_size=\"24330240\"] \n  24 -> 26 [size =\"24330240\"]\n  24 -> 29 [size =\"24330240\"]\n  25 [size=\"41308160\", alpha=\"0.17\", expect_size=\"12392448\"] \n  25 -> 27 [size =\"12392448\"]\n  26 [size=\"174622720\", alpha=\"0.18\", expect_size=\"52386816\"] \n  26 -> 33 [size =\"52386816\"]\n  27 [size=\"40338773\", alpha=\"0.14\", expect_size=\"12101632\"] \n  27 -> 35 [size =\"12101632\"]\n  27 -> 38 [size =\"12101632\"]\n  28 [size=\"141864960\", alpha=\"0.08\", expect_size=\"42559488\"] \n  28 -> 35 [size =\"42559488\"]\n  28 -> 36 [size =\"42559488\"]\n  29 [size=\"88139093\", alpha=\"0.13\", expect_size=\"26441728\"] \n  29 -> 34 [size =\"26441728\"]\n  29 -> 36 [size =\"26441728\"]\n  30 [size=\"125262507\", alpha=\"0.17\", expect_size=\"37578752\"] \n  30 -> 33 [size =\"37578752\"]\n  30 -> 38 [size =\"37578752\"]\n  31 [size=\"136622080\", alpha=\"0.13\", expect_size=\"40986624\"] \n  31 -> 34 [size =\"40986624\"]\n  31 -> 36 [size =\"40986624\"]\n  31 -> 37 [size =\"40986624\"]\n  31 -> 38 [size =\"40986624\"]\n  32 [size=\"99205120\", alpha=\"0.14\", expect_size=\"29761536\"] \n  32 -> 33 [size =\"29761536\"]\n  32 -> 36 [size =\"29761536\"]\n  33 [size=\"72127147\", alpha=\"0.08\", expect_size=\"21638144\"] \n  33 -> 39 [size =\"21638144\"]\n  33 -> 41 [size =\"21638144\"]\n  34 [size=\"130365440\", alpha=\"0.07\", expect_size=\"39109632\"] \n  34 -> 39 [size =\"39109632\"]\n  35 [size=\"21763413\", alpha=\"0.09\", expect_size=\"6529024\"] \n  35 -> 41 [size =\"6529024\"]\n  35 -> 42 [size =\"6529024\"]\n  35 -> 43 [size =\"6529024\"]\n  36 [size=\"159204693\", alpha=\"0.20\", expect_size=\"47761408\"] \n  36 -> 40 [size =\"47761408\"]\n  36 -> 41 [size =\"47761408\"]\n  36 -> 42 [size =\"47761408\"]\n  37 [size=\"143336107\", alpha=\"0.08\", expect_size=\"43000832\"] \n  37 -> 40 [size =\"43000832\"]\n  38 [size=\"99058347\", alpha=\"0.12\", expect_size=\"29717504\"] \n  38 -> 40 [size =\"29717504\"]\n  38 -> 42 [size =\"29717504\"]\n  39 [size=\"162734080\", alpha=\"0.12\", expect_size=\"48820224\"] \n  39 -> 44 [size =\"48820224\"]\n  39 -> 47 [size =\"48820224\"]\n  40 [size=\"108687360\", alpha=\"0.02\", expect_size=\"32606208\"] \n  40 -> 46 [size =\"32606208\"]\n  40 -> 47 [size =\"32606208\"]\n  40 -> 48 [size =\"32606208\"]\n  41 [size=\"84937387\", alpha=\"0.20\", expect_size=\"25481216\"] \n  41 -> 44 [size =\"25481216\"]\n  41 -> 45 [size =\"25481216\"]\n  42 [size=\"29982720\", alpha=\"0.13\", expect_size=\"8994816\"] \n  42 -> 44 [size =\"8994816\"]\n  42 -> 47 [size =\"8994816\"]\n  43 [size=\"142069760\", alpha=\"0.20\", expect_size=\"42620928\"] \n  44 [size=\"44741973\", alpha=\"0.15\", expect_size=\"13422592\"] \n  44 -> 49 [size =\"13422592\"]\n  45 [size=\"100860587\", alpha=\"0.13\", expect_size=\"30258176\"] \n  45 -> 50 [size =\"30258176\"]\n  46 [size=\"171410773\", alpha=\"0.11\", expect_size=\"51423232\"] \n  46 -> 50 [size =\"51423232\"]\n  47 [size=\"169560747\", alpha=\"0.12\", expect_size=\"50868224\"] \n  47 -> 49 [size =\"50868224\"]\n  48 [size=\"72273920\", alpha=\"0.09\", expect_size=\"21682176\"] \n  49 [size=\"164724053\", alpha=\"0.15\", expect_size=\"49417216\"] \n  50 [size=\"105110187\", alpha=\"0.14\", expect_size=\"31533056\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_data/offload_random50_test/random.50.99.gv",
    "content": "// DAG automatically generated by daggen at Thu Oct  3 14:07:56 2019\n// ./daggen --dot -n 50 --ccr 0.5 --fat 0.7 --regular 0.9 --density 0.9 --mindata 5242880 --maxdata 52428800 \ndigraph G {\n  1 [size=\"57698304\", alpha=\"0.10\", expect_size=\"28849152\"] \n  1 -> 16 [size =\"28849152\"]\n  1 -> 23 [size =\"28849152\"]\n  1 -> 25 [size =\"28849152\"]\n  1 -> 26 [size =\"28849152\"]\n  1 -> 26 [size =\"28849152\"]\n  1 -> 27 [size =\"28849152\"]\n  1 -> 28 [size =\"28849152\"]\n  1 -> 29 [size =\"28849152\"]\n  2 [size=\"43913216\", alpha=\"0.01\", expect_size=\"21956608\"] \n  2 -> 16 [size =\"21956608\"]\n  2 -> 23 [size =\"21956608\"]\n  2 -> 27 [size =\"21956608\"]\n  2 -> 28 [size =\"21956608\"]\n  2 -> 29 [size =\"21956608\"]\n  3 [size=\"59392000\", alpha=\"0.14\", expect_size=\"29696000\"] \n  3 -> 16 [size =\"29696000\"]\n  3 -> 18 [size =\"29696000\"]\n  3 -> 20 [size =\"29696000\"]\n  3 -> 21 [size =\"29696000\"]\n  3 -> 23 [size =\"29696000\"]\n  3 -> 27 [size =\"29696000\"]\n  3 -> 28 [size =\"29696000\"]\n  3 -> 29 [size =\"29696000\"]\n  4 [size=\"26466304\", alpha=\"0.08\", expect_size=\"13233152\"] \n  4 -> 16 [size =\"13233152\"]\n  4 -> 18 [size =\"13233152\"]\n  4 -> 21 [size =\"13233152\"]\n  4 -> 22 [size =\"13233152\"]\n  4 -> 23 [size =\"13233152\"]\n  4 -> 25 [size =\"13233152\"]\n  4 -> 26 [size =\"13233152\"]\n  4 -> 27 [size =\"13233152\"]\n  4 -> 28 [size =\"13233152\"]\n  5 [size=\"20824064\", alpha=\"0.06\", expect_size=\"10412032\"] \n  5 -> 16 [size =\"10412032\"]\n  5 -> 18 [size =\"10412032\"]\n  5 -> 21 [size =\"10412032\"]\n  5 -> 23 [size =\"10412032\"]\n  5 -> 23 [size =\"10412032\"]\n  5 -> 26 [size =\"10412032\"]\n  5 -> 28 [size =\"10412032\"]\n  5 -> 29 [size =\"10412032\"]\n  6 [size=\"47683584\", alpha=\"0.05\", expect_size=\"23841792\"] \n  6 -> 18 [size =\"23841792\"]\n  6 -> 23 [size =\"23841792\"]\n  6 -> 26 [size =\"23841792\"]\n  6 -> 28 [size =\"23841792\"]\n  6 -> 29 [size =\"23841792\"]\n  7 [size=\"59658240\", alpha=\"0.19\", expect_size=\"29829120\"] \n  7 -> 18 [size =\"29829120\"]\n  7 -> 20 [size =\"29829120\"]\n  7 -> 23 [size =\"29829120\"]\n  7 -> 24 [size =\"29829120\"]\n  7 -> 25 [size =\"29829120\"]\n  7 -> 26 [size =\"29829120\"]\n  7 -> 28 [size =\"29829120\"]\n  7 -> 29 [size =\"29829120\"]\n  8 [size=\"36468736\", alpha=\"0.14\", expect_size=\"18234368\"] \n  8 -> 16 [size =\"18234368\"]\n  8 -> 18 [size =\"18234368\"]\n  8 -> 23 [size =\"18234368\"]\n  8 -> 26 [size =\"18234368\"]\n  8 -> 28 [size =\"18234368\"]\n  9 [size=\"77133824\", alpha=\"0.02\", expect_size=\"38566912\"] \n  9 -> 21 [size =\"38566912\"]\n  9 -> 23 [size =\"38566912\"]\n  9 -> 23 [size =\"38566912\"]\n  9 -> 24 [size =\"38566912\"]\n  9 -> 25 [size =\"38566912\"]\n  9 -> 26 [size =\"38566912\"]\n  9 -> 28 [size =\"38566912\"]\n  9 -> 29 [size =\"38566912\"]\n  10 [size=\"52125696\", alpha=\"0.18\", expect_size=\"26062848\"] \n  10 -> 17 [size =\"26062848\"]\n  10 -> 18 [size =\"26062848\"]\n  10 -> 21 [size =\"26062848\"]\n  10 -> 23 [size =\"26062848\"]\n  10 -> 24 [size =\"26062848\"]\n  10 -> 26 [size =\"26062848\"]\n  10 -> 28 [size =\"26062848\"]\n  11 [size=\"24770560\", alpha=\"0.15\", expect_size=\"12385280\"] \n  11 -> 18 [size =\"12385280\"]\n  11 -> 21 [size =\"12385280\"]\n  11 -> 26 [size =\"12385280\"]\n  11 -> 27 [size =\"12385280\"]\n  12 [size=\"70711296\", alpha=\"0.01\", expect_size=\"35355648\"] \n  12 -> 18 [size =\"35355648\"]\n  12 -> 21 [size =\"35355648\"]\n  12 -> 24 [size =\"35355648\"]\n  12 -> 25 [size =\"35355648\"]\n  12 -> 26 [size =\"35355648\"]\n  12 -> 29 [size =\"35355648\"]\n  13 [size=\"73568256\", alpha=\"0.10\", expect_size=\"36784128\"] \n  13 -> 18 [size =\"36784128\"]\n  13 -> 20 [size =\"36784128\"]\n  13 -> 25 [size =\"36784128\"]\n  13 -> 26 [size =\"36784128\"]\n  13 -> 27 [size =\"36784128\"]\n  13 -> 28 [size =\"36784128\"]\n  14 [size=\"44011520\", alpha=\"0.17\", expect_size=\"22005760\"] \n  14 -> 16 [size =\"22005760\"]\n  14 -> 18 [size =\"22005760\"]\n  14 -> 19 [size =\"22005760\"]\n  14 -> 20 [size =\"22005760\"]\n  14 -> 23 [size =\"22005760\"]\n  14 -> 24 [size =\"22005760\"]\n  14 -> 26 [size =\"22005760\"]\n  14 -> 27 [size =\"22005760\"]\n  14 -> 28 [size =\"22005760\"]\n  14 -> 29 [size =\"22005760\"]\n  15 [size=\"82292736\", alpha=\"0.02\", expect_size=\"41146368\"] \n  15 -> 16 [size =\"41146368\"]\n  15 -> 18 [size =\"41146368\"]\n  15 -> 21 [size =\"41146368\"]\n  15 -> 24 [size =\"41146368\"]\n  15 -> 26 [size =\"41146368\"]\n  15 -> 27 [size =\"41146368\"]\n  15 -> 28 [size =\"41146368\"]\n  15 -> 29 [size =\"41146368\"]\n  16 [size=\"15714304\", alpha=\"0.01\", expect_size=\"7857152\"] \n  16 -> 32 [size =\"7857152\"]\n  16 -> 32 [size =\"7857152\"]\n  16 -> 33 [size =\"7857152\"]\n  16 -> 36 [size =\"7857152\"]\n  16 -> 36 [size =\"7857152\"]\n  16 -> 39 [size =\"7857152\"]\n  16 -> 41 [size =\"7857152\"]\n  17 [size=\"38973440\", alpha=\"0.02\", expect_size=\"19486720\"] \n  17 -> 31 [size =\"19486720\"]\n  17 -> 32 [size =\"19486720\"]\n  17 -> 33 [size =\"19486720\"]\n  17 -> 36 [size =\"19486720\"]\n  17 -> 41 [size =\"19486720\"]\n  18 [size=\"32849920\", alpha=\"0.19\", expect_size=\"16424960\"] \n  18 -> 32 [size =\"16424960\"]\n  18 -> 34 [size =\"16424960\"]\n  18 -> 35 [size =\"16424960\"]\n  18 -> 37 [size =\"16424960\"]\n  18 -> 38 [size =\"16424960\"]\n  18 -> 39 [size =\"16424960\"]\n  18 -> 41 [size =\"16424960\"]\n  18 -> 44 [size =\"16424960\"]\n  19 [size=\"99115008\", alpha=\"0.01\", expect_size=\"49557504\"] \n  19 -> 30 [size =\"49557504\"]\n  19 -> 33 [size =\"49557504\"]\n  19 -> 34 [size =\"49557504\"]\n  19 -> 35 [size =\"49557504\"]\n  19 -> 39 [size =\"49557504\"]\n  19 -> 41 [size =\"49557504\"]\n  20 [size=\"15933440\", alpha=\"0.11\", expect_size=\"7966720\"] \n  20 -> 30 [size =\"7966720\"]\n  20 -> 32 [size =\"7966720\"]\n  20 -> 34 [size =\"7966720\"]\n  20 -> 35 [size =\"7966720\"]\n  20 -> 39 [size =\"7966720\"]\n  21 [size=\"103211008\", alpha=\"0.11\", expect_size=\"51605504\"] \n  21 -> 32 [size =\"51605504\"]\n  21 -> 33 [size =\"51605504\"]\n  21 -> 34 [size =\"51605504\"]\n  21 -> 35 [size =\"51605504\"]\n  21 -> 39 [size =\"51605504\"]\n  21 -> 42 [size =\"51605504\"]\n  21 -> 43 [size =\"51605504\"]\n  21 -> 44 [size =\"51605504\"]\n  22 [size=\"79194112\", alpha=\"0.17\", expect_size=\"39597056\"] \n  22 -> 30 [size =\"39597056\"]\n  22 -> 31 [size =\"39597056\"]\n  22 -> 32 [size =\"39597056\"]\n  22 -> 33 [size =\"39597056\"]\n  22 -> 35 [size =\"39597056\"]\n  22 -> 37 [size =\"39597056\"]\n  22 -> 39 [size =\"39597056\"]\n  22 -> 41 [size =\"39597056\"]\n  22 -> 43 [size =\"39597056\"]\n  22 -> 44 [size =\"39597056\"]\n  23 [size=\"81840128\", alpha=\"0.14\", expect_size=\"40920064\"] \n  23 -> 31 [size =\"40920064\"]\n  23 -> 32 [size =\"40920064\"]\n  23 -> 33 [size =\"40920064\"]\n  23 -> 34 [size =\"40920064\"]\n  23 -> 35 [size =\"40920064\"]\n  23 -> 37 [size =\"40920064\"]\n  23 -> 39 [size =\"40920064\"]\n  23 -> 41 [size =\"40920064\"]\n  23 -> 43 [size =\"40920064\"]\n  23 -> 44 [size =\"40920064\"]\n  24 [size=\"35379200\", alpha=\"0.15\", expect_size=\"17689600\"] \n  24 -> 30 [size =\"17689600\"]\n  24 -> 32 [size =\"17689600\"]\n  24 -> 33 [size =\"17689600\"]\n  24 -> 35 [size =\"17689600\"]\n  24 -> 36 [size =\"17689600\"]\n  24 -> 37 [size =\"17689600\"]\n  24 -> 39 [size =\"17689600\"]\n  24 -> 41 [size =\"17689600\"]\n  24 -> 42 [size =\"17689600\"]\n  24 -> 43 [size =\"17689600\"]\n  24 -> 44 [size =\"17689600\"]\n  25 [size=\"20471808\", alpha=\"0.18\", expect_size=\"10235904\"] \n  25 -> 30 [size =\"10235904\"]\n  25 -> 31 [size =\"10235904\"]\n  25 -> 32 [size =\"10235904\"]\n  25 -> 33 [size =\"10235904\"]\n  25 -> 36 [size =\"10235904\"]\n  25 -> 39 [size =\"10235904\"]\n  25 -> 41 [size =\"10235904\"]\n  25 -> 41 [size =\"10235904\"]\n  25 -> 43 [size =\"10235904\"]\n  25 -> 44 [size =\"10235904\"]\n  26 [size=\"27756544\", alpha=\"0.08\", expect_size=\"13878272\"] \n  26 -> 33 [size =\"13878272\"]\n  26 -> 36 [size =\"13878272\"]\n  26 -> 39 [size =\"13878272\"]\n  26 -> 40 [size =\"13878272\"]\n  26 -> 41 [size =\"13878272\"]\n  27 [size=\"31391744\", alpha=\"0.09\", expect_size=\"15695872\"] \n  27 -> 32 [size =\"15695872\"]\n  27 -> 35 [size =\"15695872\"]\n  27 -> 36 [size =\"15695872\"]\n  27 -> 39 [size =\"15695872\"]\n  27 -> 41 [size =\"15695872\"]\n  27 -> 43 [size =\"15695872\"]\n  27 -> 44 [size =\"15695872\"]\n  28 [size=\"42856448\", alpha=\"0.16\", expect_size=\"21428224\"] \n  28 -> 32 [size =\"21428224\"]\n  28 -> 34 [size =\"21428224\"]\n  28 -> 36 [size =\"21428224\"]\n  28 -> 39 [size =\"21428224\"]\n  28 -> 40 [size =\"21428224\"]\n  28 -> 41 [size =\"21428224\"]\n  29 [size=\"38856704\", alpha=\"0.17\", expect_size=\"19428352\"] \n  29 -> 30 [size =\"19428352\"]\n  29 -> 32 [size =\"19428352\"]\n  29 -> 34 [size =\"19428352\"]\n  29 -> 35 [size =\"19428352\"]\n  29 -> 36 [size =\"19428352\"]\n  29 -> 38 [size =\"19428352\"]\n  29 -> 39 [size =\"19428352\"]\n  29 -> 41 [size =\"19428352\"]\n  29 -> 43 [size =\"19428352\"]\n  30 [size=\"44374016\", alpha=\"0.06\", expect_size=\"22187008\"] \n  30 -> 46 [size =\"22187008\"]\n  30 -> 49 [size =\"22187008\"]\n  31 [size=\"95606784\", alpha=\"0.19\", expect_size=\"47803392\"] \n  31 -> 45 [size =\"47803392\"]\n  31 -> 46 [size =\"47803392\"]\n  31 -> 47 [size =\"47803392\"]\n  31 -> 49 [size =\"47803392\"]\n  32 [size=\"51019776\", alpha=\"0.04\", expect_size=\"25509888\"] \n  32 -> 46 [size =\"25509888\"]\n  32 -> 46 [size =\"25509888\"]\n  32 -> 47 [size =\"25509888\"]\n  33 [size=\"38418432\", alpha=\"0.02\", expect_size=\"19209216\"] \n  33 -> 45 [size =\"19209216\"]\n  33 -> 46 [size =\"19209216\"]\n  33 -> 49 [size =\"19209216\"]\n  33 -> 50 [size =\"19209216\"]\n  34 [size=\"12337152\", alpha=\"0.08\", expect_size=\"6168576\"] \n  34 -> 46 [size =\"6168576\"]\n  34 -> 46 [size =\"6168576\"]\n  35 [size=\"83128320\", alpha=\"0.09\", expect_size=\"41564160\"] \n  35 -> 46 [size =\"41564160\"]\n  35 -> 47 [size =\"41564160\"]\n  35 -> 48 [size =\"41564160\"]\n  35 -> 49 [size =\"41564160\"]\n  36 [size=\"72390656\", alpha=\"0.11\", expect_size=\"36195328\"] \n  36 -> 45 [size =\"36195328\"]\n  36 -> 46 [size =\"36195328\"]\n  36 -> 47 [size =\"36195328\"]\n  36 -> 48 [size =\"36195328\"]\n  36 -> 49 [size =\"36195328\"]\n  37 [size=\"17317888\", alpha=\"0.19\", expect_size=\"8658944\"] \n  37 -> 46 [size =\"8658944\"]\n  37 -> 49 [size =\"8658944\"]\n  37 -> 50 [size =\"8658944\"]\n  38 [size=\"61460480\", alpha=\"0.12\", expect_size=\"30730240\"] \n  38 -> 45 [size =\"30730240\"]\n  38 -> 47 [size =\"30730240\"]\n  38 -> 49 [size =\"30730240\"]\n  39 [size=\"42053632\", alpha=\"0.04\", expect_size=\"21026816\"] \n  39 -> 49 [size =\"21026816\"]\n  40 [size=\"25749504\", alpha=\"0.17\", expect_size=\"12874752\"] \n  40 -> 47 [size =\"12874752\"]\n  40 -> 49 [size =\"12874752\"]\n  41 [size=\"54188032\", alpha=\"0.09\", expect_size=\"27094016\"] \n  41 -> 45 [size =\"27094016\"]\n  41 -> 48 [size =\"27094016\"]\n  41 -> 49 [size =\"27094016\"]\n  42 [size=\"47280128\", alpha=\"0.16\", expect_size=\"23640064\"] \n  42 -> 45 [size =\"23640064\"]\n  42 -> 49 [size =\"23640064\"]\n  42 -> 49 [size =\"23640064\"]\n  43 [size=\"65253376\", alpha=\"0.18\", expect_size=\"32626688\"] \n  43 -> 46 [size =\"32626688\"]\n  43 -> 47 [size =\"32626688\"]\n  43 -> 48 [size =\"32626688\"]\n  43 -> 49 [size =\"32626688\"]\n  44 [size=\"76822528\", alpha=\"0.06\", expect_size=\"38411264\"] \n  44 -> 46 [size =\"38411264\"]\n  44 -> 48 [size =\"38411264\"]\n  44 -> 48 [size =\"38411264\"]\n  44 -> 49 [size =\"38411264\"]\n  45 [size=\"21141504\", alpha=\"0.15\", expect_size=\"10570752\"] \n  46 [size=\"64391168\", alpha=\"0.08\", expect_size=\"32195584\"] \n  47 [size=\"23056384\", alpha=\"0.06\", expect_size=\"11528192\"] \n  48 [size=\"19998720\", alpha=\"0.10\", expect_size=\"9999360\"] \n  49 [size=\"77584384\", alpha=\"0.01\", expect_size=\"38792192\"] \n  50 [size=\"95700992\", alpha=\"0.19\", expect_size=\"47850496\"] \n}\n"
  },
  {
    "path": "rltaskoffloading/offloading_ddqn/__init__.py",
    "content": ""
  },
  {
    "path": "rltaskoffloading/offloading_ddqn/lstm_ddqn.py",
    "content": "import tensorflow as tf\nimport numpy as np\nimport itertools\nimport functools\nimport time\n\nfrom mpi4py import MPI\n\nfrom rltaskoffloading.common.mpi_adam_optimizer import MpiAdamOptimizer\nfrom rltaskoffloading.common.tf_util import get_session, save_variables, load_variables, initialize\nimport rltaskoffloading.common.tf_util as U\nfrom rltaskoffloading.common.mpi_util import sync_from_root\nfrom rltaskoffloading.common.schedule import LinearSchedule\nfrom rltaskoffloading.common.console_util import fmt_row\nfrom rltaskoffloading.offloading_ddqn.lstm_dqnet import LSTMDuelQnet\nfrom rltaskoffloading import logger\n\nfrom rltaskoffloading.environment.offloading_env import OffloadingEnvironment\nfrom rltaskoffloading.environment.offloading_env import Resources\n\nfrom rltaskoffloading.common.misc_util import zipsame\nfrom rltaskoffloading.offloading_ddqn.seq2seq_replay_buffer import SeqReplayBuffer\n\ndef calculate_qoe(latency_batch, energy_batch, env):\n    all_local_time, all_local_energy = env.get_all_locally_execute_time_batch()\n    all_local_time = np.squeeze(all_local_time)\n    all_local_energy = np.squeeze(all_local_energy)\n    latency_batch = np.squeeze(latency_batch)\n    energy_batch = np.squeeze(energy_batch)\n    qoe_batch = []\n\n    for latency, energy, single_all_local_latency, single_all_local_energy in zip(latency_batch, energy_batch, all_local_time, all_local_energy):\n        qoe = env.lambda_t * ((latency - single_all_local_latency) / single_all_local_latency) + \\\n              env.lambda_e * ((energy - single_all_local_energy) / single_all_local_energy)\n\n        qoe = -qoe\n        qoe_batch.append(qoe)\n\n    return qoe_batch\n\n# LSTM + DuelQnets + Double Deep Q-learning\nclass LSTMDDQN(object):\n    def __init__(self, hparams, ob_dim, gamma, max_grad_norm):\n        # placeholder for qnet\n        self.ob_input = tf.placeholder(dtype=tf.float32, shape=[None, None, ob_dim])\n\n        self.action = tf.placeholder(tf.int32, [None, None])\n        # placeholder for target q net\n        self.target_ob_input = tf.placeholder(dtype=tf.float32, shape=[None, None, ob_dim])\n        self.target_next_q = tf.placeholder(tf.float32, [None, None])\n        self.target_action = tf.placeholder(tf.int32, [None, None])\n\n        # sequential reward\n        self.r = tf.placeholder(tf.float32, [None, None])\n        self.lr = tf.placeholder(tf.float32, [])\n\n        self.q_net = LSTMDuelQnet(\"qnet\", hparams, reuse=True,\n                            encoder_inputs=self.ob_input, actions=self.action\n                            )\n\n        self.target_q_net = LSTMDuelQnet(\"target_qnet\", hparams, reuse=False,\n                            encoder_inputs=self.target_ob_input, actions=self.target_action)\n\n        self.update_target_q = U.function([], [], updates=[tf.assign(oldv, newv)\n                                                        for (oldv, newv) in\n                                                        zipsame(self.target_q_net.get_trainable_variables(),\n                                                                self.q_net.get_trainable_variables())])\n        # define loss function here:\n        # target q-network evaluation, this q value is estimiated by double deep q learning\n\n        # define the double the loss function of double dqn\n        q_selected_target = self.r + gamma * tf.stop_gradient(self.target_next_q)\n        td_error = self.q_net.q - q_selected_target\n        self.q_loss = tf.reduce_mean(U.huber_loss(td_error))\n\n        params = self.q_net.get_trainable_variables()\n        trainer = MpiAdamOptimizer(MPI.COMM_WORLD, learning_rate=self.lr, epsilon=1e-5)\n\n        grads_and_var = trainer.compute_gradients(self.q_loss, params)\n        grads, var = zip(*grads_and_var)\n\n        # clip the gradients\n        if max_grad_norm is not None:\n            grads, _grad_norm = tf.clip_by_global_norm(grads, max_grad_norm)\n\n        grads_and_var = list(zip(grads, var))\n        self._train = trainer.apply_gradients(grads_and_var)\n\n        self.loss_names = [\"q_loss\"]\n        self.step = self.q_net.step\n\n    def train(self, sess, learning_rate, obs, rewards, actions,\n              target_next_q_values):\n\n        td_map = {self.lr: learning_rate,\n                  self.ob_input: obs,\n                  self.r: rewards,\n                  self.action: actions,\n                  self.target_next_q: target_next_q_values}\n\n        return sess.run([self.q_loss, self._train], td_map)\n\n    def save(self, model_path):\n        sess = tf.get_default_session()\n        functools.partial(save_variables, sess=sess)(model_path)\n\n    def load(self, model_path):\n        sess = tf.get_default_session()\n        functools.partial(load_variables, sess=sess)(model_path)\n\nclass Runner(object):\n    def __init__(self, env, model, nepisode, replay_buffers):\n        self.env = env\n        self.model = model\n        self.nepisode = nepisode\n        self.replay_buffers = replay_buffers\n\n    def run(self, epsilon_threshold=0.1):\n        assert self.replay_buffers is not None\n\n        for task_graph_batch, encoder_batch, encoder_length, \\\n            decoder_lengths, max_running_time, min_running_time, replay_buffer in zip(self.env.task_graphs,\n                                                                       self.env.encoder_batchs,\n                                                                       self.env.encoder_lengths,\n                                                                       self.env.decoder_full_lengths,\n                                                                       self.env.max_running_time_batchs,\n                                                                       self.env.min_running_time_batchs,\n                                                                       self.replay_buffers):\n            for _ in range(self.nepisode):\n                sample_actions, greedy_actions = self.model.step(obs=encoder_batch,\n                                                                 epsilon_threshold=epsilon_threshold)\n\n                sample_decoder_input = np.column_stack(\n                    (np.ones(sample_actions.shape[0], dtype=np.int32) * self.env.start_symbol, sample_actions[:, 0:-1]))\n\n                greedy_decoder_input =  np.column_stack(\n                    (np.ones(greedy_actions.shape[0], dtype=np.int32) * self.env.start_symbol, sample_actions[:, 0:-1]))\n\n                target_next_q = self.model.target_q_net.get_qvalues(encoder_input_batch=encoder_batch,\n                                                                    actions=greedy_actions)\n\n                # get Q(S_{t+1}, argmax_{a}Q(S_{t+1}, a; \\theta_t), \\theta_t^-).\n                target_next_q = np.column_stack(\n                    (target_next_q[:, 1:], np.zeros(greedy_actions.shape[0], dtype=np.int32)))\n\n                rewards = self.env.step(task_graph_batch=task_graph_batch, action_sequence_batch=sample_actions,\n                                        max_running_time_batch=max_running_time,\n                                        min_running_time_batch=min_running_time)\n\n                replay_buffer.add_batch(batch_ob_seq=encoder_batch,\n                                        batch_act_seq=sample_actions,\n                                        batch_dec_seq= sample_decoder_input,\n                                        batch_dec_length = decoder_lengths,\n                                        batch_greedy_act_seq=greedy_actions,\n                                        batch_greedy_dec_seq=greedy_decoder_input,\n                                        batch_rew_seq=rewards,\n                                        batch_target_next_q=target_next_q)\n\n    def evaluate(self):\n        running_cost = []\n        energy_consumption = []\n        running_qoe = []\n\n        for encoder_batch, encoder_length, decoder_lengths, task_graph_batch \\\n                in zip(self.env.encoder_batchs, self.env.encoder_lengths,\n                       self.env.decoder_full_lengths, self.env.task_graphs):\n            _, actions = self.model.step(obs=encoder_batch)\n            actions = np.array(actions)\n            env_running_cost, env_energy_consumption = self.env.get_running_cost(action_sequence_batch=actions,\n                                                                                 task_graph_batch=task_graph_batch)\n\n            qoe = calculate_qoe(env_running_cost, env_energy_consumption, self.env)\n\n            running_cost += env_running_cost\n            energy_consumption += env_energy_consumption\n            running_qoe += qoe\n\n        return running_cost, energy_consumption, running_qoe\n\ndef ddqn_learning(env,\n                  ddqn_model,\n                  reply_buffer_num=9,\n                  reply_buffer_size=10000,\n                  eval_envs=None,\n                  final_epsilon=0.02,\n                  train_freq = 1,\n                  target_freq = 10,\n                  eval_freq = 10,\n                  nupdates=1000,\n                  nsample_episode=10,\n                  warmup_episode=10,\n                  lr=1e-4,\n                  batch_size=500,\n                  log_interval=1,\n                  update_numbers=10,\n                  load_path=None):\n    sess = tf.get_default_session()\n\n    replay_buffers = []\n    for _ in range(reply_buffer_num):\n        replay_buffers.append(SeqReplayBuffer(size=reply_buffer_size))\n\n    runner = Runner(model=ddqn_model, env=env, nepisode=nsample_episode, replay_buffers=replay_buffers)\n\n    eval_runners = []\n    if eval_envs is not None:\n        for eval_env in eval_envs:\n            eval_runners.append(Runner(model=ddqn_model, env=eval_env, nepisode=1, replay_buffers=None))\n\n    exploration = LinearSchedule(schedule_timesteps=nupdates//2, final_p=final_epsilon, initial_p=1.0)\n    # warm up period\n    for _ in range(warmup_episode):\n        runner.run(epsilon_threshold=1.0)\n\n    for update in range(1, nupdates+1):\n        tstart = time.time()\n\n        # sample trajectories from the envrionment\n        runner.run(exploration.value(update))\n        sample_time_cost = time.time()\n        print(\"sample time cost: \", (sample_time_cost - tstart))\n\n        if update % train_freq == 0:\n            logger.log(fmt_row(13, ddqn_model.loss_names))\n            for _ in range(update_numbers):\n                batch_losses = []\n                for replay_buffer in replay_buffers:\n                    ob_seq, ac_seq, dec_input_seq, decoder_full_length, greedy_ac_seq, \\\n                    greedy_dec_input_seq, rew_seq, target_next_q = replay_buffer.random_sample(batch_size)\n\n                    q_loss, _ = ddqn_model.train(sess, learning_rate=lr, obs=ob_seq,\n                                  rewards=rew_seq,\n                                  target_next_q_values=target_next_q,\n                                  actions=ac_seq)\n\n                    batch_losses.append(q_loss)\n\n                logger.log(fmt_row(13, [np.mean(batch_losses, axis=0)]))\n        update_time_cost = time.time()\n        print(\"Update time cost: \", (update_time_cost - sample_time_cost))\n\n        # sychronous the parameters between target q net and q net.\n        if update % target_freq == 0:\n            print(\"Update target q network\")\n            ddqn_model.update_target_q()\n\n        if update % eval_freq == 0:\n            # add the\n            ddqn_model.save(\"./checkpoint/ddqn_offloading_model.ckpt\")\n            running_cost = []\n            energy_consumption = []\n            running_qoe = []\n            #\n            for eval_runner in eval_runners:\n                Tc, Ec, qoe = eval_runner.evaluate()\n\n                running_cost.append(np.mean(Tc))\n                energy_consumption.append(np.mean(Ec))\n                running_qoe.append(np.mean(qoe))\n\n            j = 0\n            for eval_env, run_time, energy, running_mean_qoe in zip(\n                    eval_envs, running_cost,\n                    energy_consumption,\n                    running_qoe):\n                logger.logkv(str(j) + 'th run time cost ', run_time)\n                logger.logkv(str(j) + 'th energy cost ', energy)\n                logger.logkv(str(j) + 'th qoe ', running_mean_qoe)\n\n                logger.logkv(str(j) + 'th HEFT run time cost', eval_env.heft_avg_run_time)\n                logger.logkv(str(j) + 'th HEFT energy cost', eval_env.heft_avg_energy)\n                logger.logkv(str(j) + 'th HEFT qoe', eval_env.heft_avg_qoe)\n                j += 1\n\n        if MPI.COMM_WORLD.Get_rank() == 0:\n            logger.dumpkvs()\n\ndef DDQNTO_number(lambda_t = 1.0, lambda_e = 0.0, logpath=\"./log/DDQNTO-all-graph-LO\",\n           unit_type=\"layer_norm_lstm\", num_units=256, learning_rate=0.00005, supervised_learning_rate=0.00005,\n           n_features=2, time_major=False, is_attention=True, forget_bias=1.0, dropout=0, num_gpus=1,\n           num_layers=2, num_residual_layers=0, is_greedy=False, encode_dependencies=False,\n           inference_model=\"sample\", start_token=0,\n           end_token=5, is_bidencoder=True,\n           train_graph_file_paths=[\"../offloading_data/offload_random10/random.10.\"],\n           test_graph_file_paths=[\"../offloading_data/offload_random10_test/random.10.\"],\n           batch_size=500, graph_number=500):\n\n    logger.configure(logpath, ['stdout', 'json', 'csv'])\n\n    hparams = tf.contrib.training.HParams(\n        unit_type=unit_type,\n        num_units=num_units,\n        learning_rate=learning_rate,\n        supervised_learning_rate=supervised_learning_rate,\n        n_features=n_features,\n        time_major=time_major,\n        is_attention=is_attention,\n        forget_bias=forget_bias,\n        dropout=dropout,\n        num_gpus=num_gpus,\n        num_layers=num_layers,\n        num_residual_layers=num_residual_layers,\n        is_greedy=is_greedy,\n        inference_model=inference_model,\n        start_token=start_token,\n        end_token=end_token,\n        is_bidencoder=is_bidencoder\n    )\n\n    resource_cluster = Resources(mec_process_capable=(10.0 * 1024 * 1024),\n                                 mobile_process_capable=(1.0 * 1024 * 1024), bandwith_up=7.0, bandwith_dl=7.0)\n\n    env = OffloadingEnvironment(resource_cluster=resource_cluster, batch_size=batch_size, graph_number=graph_number,\n                                graph_file_paths=train_graph_file_paths,\n                                time_major=False,\n                                lambda_t=lambda_t, lambda_e=lambda_e,\n                                encode_dependencies=encode_dependencies)\n\n    eval_envs = []\n    for path in test_graph_file_paths:\n        eval_env = OffloadingEnvironment(resource_cluster=resource_cluster, batch_size=100, graph_number=100,\n                                           graph_file_paths=[path],\n                                           time_major=False,\n                                           lambda_t=lambda_t, lambda_e=lambda_e,\n                                           encode_dependencies=encode_dependencies\n                                           )\n\n        eval_env.calculate_heft_cost()\n        eval_envs.append(eval_env)\n    print(\"Finishing initialization of environment\")\n\n    model = LSTMDDQN(hparams=hparams, ob_dim=env.input_dim, gamma=0.99, max_grad_norm=1.0)\n\n    with tf.Session() as sess:\n        sess.run(tf.global_variables_initializer())\n        ddqn_learning(env=env,\n                      eval_envs=eval_envs,\n                      ddqn_model=model,\n                      reply_buffer_num=1,\n                      reply_buffer_size=100000,\n                      final_epsilon=0.01,\n                      train_freq=1,\n                      target_freq=5,\n                      nupdates=1000,\n                      eval_freq=1,\n                      warmup_episode=10,\n                      nsample_episode=10,\n                      lr=5e-4,\n                      batch_size=500,\n                      update_numbers=10,\n                      load_path=None\n                      )\n\ndef DDQNTO_trans(lambda_t = 1.0, lambda_e = 0.0, logpath=\"./log/all-graph-LO\",\n           unit_type=\"layer_norm_lstm\", num_units=256, learning_rate=0.00005, supervised_learning_rate=0.00005,\n           n_features=2, time_major=False, is_attention=True, forget_bias=1.0, dropout=0, num_gpus=1,\n           num_layers=2, num_residual_layers=0, is_greedy=False, encode_dependencies=False,\n           inference_model=\"sample\", start_token=0,\n           end_token=5, is_bidencoder=True,\n           train_graph_file_paths=[\"../offloading_data/offload_random10/random.10.\"],\n           test_graph_file_paths=[\"../offloading_data/offload_random10_test/random.10.\"],\n           batch_size=500, graph_number=500,\n           bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0]):\n\n    logger.configure(logpath, ['stdout', 'json', 'csv'])\n\n    hparams = tf.contrib.training.HParams(\n        unit_type=unit_type,\n        num_units=num_units,\n        learning_rate=learning_rate,\n        supervised_learning_rate=supervised_learning_rate,\n        n_features=n_features,\n        time_major=time_major,\n        is_attention=is_attention,\n        forget_bias=forget_bias,\n        dropout=dropout,\n        num_gpus=num_gpus,\n        num_layers=num_layers,\n        num_residual_layers=num_residual_layers,\n        is_greedy=is_greedy,\n        inference_model=inference_model,\n        start_token=start_token,\n        end_token=end_token,\n        is_bidencoder=is_bidencoder\n    )\n\n    def test_case(bandwidth=5.0, log_path='./log', lambda_t=1.0, lambda_e=0.0, nupdates=2000):\n        logger.configure(log_path, ['stdout', 'json', 'csv'])\n        resource_cluster = Resources(mec_process_capable=(10.0 * 1024 * 1024),\n                                     mobile_process_capable=(1.0 * 1024 * 1024), bandwith_up=bandwidth,\n                                     bandwith_dl=bandwidth)\n\n        env = OffloadingEnvironment(resource_cluster=resource_cluster, batch_size=batch_size, graph_number=graph_number,\n                                    graph_file_paths=train_graph_file_paths,\n                                    time_major=False,\n                                    lambda_t=lambda_t, lambda_e=lambda_e,\n                                    encode_dependencies=encode_dependencies # In DDQNTO, we don't consider the task dependency\n                                    )\n\n        # define the evaluation environment\n        eval_envs = []\n        eval_env_1 = OffloadingEnvironment(resource_cluster=resource_cluster, batch_size=100, graph_number=100,\n                                           graph_file_paths=test_graph_file_paths,\n                                           time_major=False,\n                                           lambda_t=lambda_t, lambda_e=lambda_e,\n                                           encode_dependencies=encode_dependencies\n                                           )\n        eval_env_1.calculate_heft_cost()\n\n        eval_envs.append(eval_env_1)\n        print(\"Finishing initialization of environment\")\n\n        # limit the number of cpu cores\n        session_conf = tf.ConfigProto(\n            intra_op_parallelism_threads=4,\n            inter_op_parallelism_threads=4)\n\n        with tf.Session(config=session_conf) as sess:\n            model = LSTMDDQN(hparams=hparams, ob_dim=env.input_dim, gamma=0.99, max_grad_norm=1.0)\n            sess.run(tf.global_variables_initializer())\n            ddqn_learning(env=env,\n                          eval_envs=eval_envs,\n                          ddqn_model=model,\n                          reply_buffer_num=1,\n                          reply_buffer_size=100000,\n                          final_epsilon=0.02,\n                          train_freq=1,\n                          target_freq=5,\n                          nupdates=nupdates,\n                          eval_freq=1,\n                          warmup_episode=10,\n                          nsample_episode=10,\n                          lr=5e-4,\n                          batch_size=500,\n                          update_numbers=10,\n                          load_path=None\n                          )\n            sess.close()\n\n        tf.reset_default_graph()\n\n    for bandwidth in bandwidths:\n        test_case(bandwidth=bandwidth, lambda_t=lambda_t, lambda_e=lambda_e, log_path=logpath + '-' + str(bandwidth) +'Mbps')\n\n\nif __name__ == \"__main__\":\n    DDQNTO_number()\n"
  },
  {
    "path": "rltaskoffloading/offloading_ddqn/lstm_dqnet.py",
    "content": "import tensorflow as tf\nimport numpy as np\n\nfrom rltaskoffloading.seq2seq import model_helper\n\nfrom tensorflow.python.ops import control_flow_ops\nfrom tensorflow.python.ops import math_ops\nfrom tensorflow.python.framework import ops\nfrom tensorflow.python.framework import dtypes\n\nfrom tensorflow.python.ops.distributions import categorical\n\n\n# keep decoder only\nclass LSTMDuelQnet(object):\n    def __init__(self,\n                 name,\n                 hparams,\n                 reuse,\n                 encoder_inputs,\n                 actions,\n                 ):\n\n        self.encoder_hidden_unit = hparams.num_units\n\n        self.actions = actions\n\n        self.encoder_inputs = encoder_inputs\n        self.num_layers = hparams.num_layers\n        self.num_residual_layers = hparams.num_residual_layers\n\n        self.time_major = hparams.time_major\n\n        self.n_features = hparams.n_features\n        self.reuse = reuse\n        self.mode = tf.contrib.learn.ModeKeys.TRAIN\n        self.single_cell_fn = None\n\n        self.epsilon_mask = tf.placeholder(shape=[None, None], dtype=tf.int32)\n\n        with tf.variable_scope(name, reuse=self.reuse, initializer=tf.glorot_normal_initializer()):\n            self.scope = tf.get_variable_scope().name\n\n            self.embeddings = tf.Variable(tf.random_uniform(\n                [self.n_features,\n                 self.encoder_hidden_unit],\n                -1.0, 1.0), dtype=tf.float32)\n\n            # using a fully connected layer as embeddings\n            self.encoder_embeddings = tf.contrib.layers.fully_connected(self.encoder_inputs,\n                                                                        self.encoder_hidden_unit,\n                                                                        activation_fn=None,\n                                                                        scope=\"encoder_embeddings\",\n                                                                        reuse=tf.AUTO_REUSE)\n\n            # define the lstm encoder\n            self.encoder_outputs, self.encoder_state = self.create_encoder(hparams)\n\n            self.out_put_logits = tf.contrib.layers.fully_connected(self.encoder_outputs,\n                                                                    self.n_features,\n                                                                    activation_fn=None,\n                                                                    scope=\"output_layer\",\n                                                                    reuse=tf.AUTO_REUSE)\n\n            self.adv = tf.contrib.layers.fully_connected(self.out_put_logits, self.n_features,\n                                                         activation_fn=None,\n                                                         scope=\"advantages\",\n                                                         reuse=tf.AUTO_REUSE)\n            self.vf = tf.contrib.layers.fully_connected(self.out_put_logits, 1,\n                                                        activation_fn=None,\n                                                        scope=\"state-values\",\n                                                        reuse=tf.AUTO_REUSE)\n\n            self.actions_one_hot = tf.one_hot(self.actions,\n                                             self.n_features,\n                                             dtype=tf.float32)\n\n\n            # create duel q-networks\n            delta_adv = (1.0/self.n_features * tf.reduce_sum(self.adv, axis=-1, keepdims=True))\n\n            self.q_logits = self.vf + (self.adv - delta_adv)\n\n            self.greedy_actions = tf.argmax(self.q_logits, axis=-1, output_type=tf.int32)\n            self.q = tf.reduce_sum(self.q_logits * self.actions_one_hot, axis=-1)\n\n            # create random action\n            logits = math_ops.multiply(math_ops.divide(0.5, (self.q_logits + 1e-5) ), (self.q_logits + 1e-5))\n            sample_id_sampler = categorical.Categorical(logits=logits)\n            self.sample_action = sample_id_sampler.sample()\n\n            self.sample_action = self.greedy_actions * self.epsilon_mask + self.sample_action * (1-self.epsilon_mask)\n\n    def step(self, obs, epsilon_threshold=1.0):\n        sess = tf.get_default_session()\n\n        epsilon = np.random.uniform(low=0.0, high=1.0, size=(obs.shape[0], obs.shape[1]))\n        mask = np.array(epsilon < epsilon_threshold, np.int32)\n\n        sample_actions, greedy_actions= sess.run(\n            [self.sample_action, self.greedy_actions],\n             feed_dict={\n                self.encoder_inputs : obs,\n                self.epsilon_mask: mask\n             }\n        )\n\n        return sample_actions, greedy_actions\n\n    def greedy_predict(self, obs):\n        sess = tf.get_default_session()\n        greedy_actions = sess.run(self.greedy_actions, feed_dict={\n            self.encoder_inputs: obs\n        })\n\n        greedy_actions = np.array(greedy_actions)\n\n        return greedy_actions\n\n    def get_qvalues(self, encoder_input_batch, actions):\n        sess = tf.get_default_session()\n\n        q_values = sess.run(self.q,\n                            feed_dict={\n                                self.encoder_inputs: encoder_input_batch,\n                                self.actions: actions\n                            })\n\n        return q_values\n\n    def get_variables(self):\n        return tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, self.scope)\n\n    def get_trainable_variables(self):\n        return tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, self.scope)\n\n\n    def _build_encoder_cell(self, hparams, num_layers, num_residual_layers, base_gpu=0):\n        \"\"\"Build a multi-layer RNN cell that can be used by encoder.\"\"\"\n        return model_helper.create_rnn_cell(\n            unit_type=hparams.unit_type,\n            num_units=hparams.num_units,\n            num_layers=num_layers,\n            num_residual_layers=num_residual_layers,\n            forget_bias=hparams.forget_bias,\n            dropout=hparams.dropout,\n            num_gpus=hparams.num_gpus,\n            mode=self.mode,\n            base_gpu=base_gpu,\n            single_cell_fn=self.single_cell_fn)\n\n    def create_encoder(self, hparams):\n        # Build RNN cell\n        with tf.variable_scope(\"encoder\", reuse=tf.AUTO_REUSE) as scope:\n            encoder_cell = self._build_encoder_cell(hparams=hparams,\n                                                    num_layers=self.num_layers,\n                                                    num_residual_layers=self.num_residual_layers)\n\n            # encoder_cell = tf.contrib.rnn.GRUCell(self.encoder_hidden_unit)\n            # currently only consider the normal dynamic rnn\n            encoder_outputs, encoder_state = tf.nn.dynamic_rnn(\n                cell=encoder_cell,\n                inputs=self.encoder_embeddings,\n                dtype=tf.float32,\n                time_major=self.time_major,\n                swap_memory=True,\n                scope=scope\n            )\n\n        return encoder_outputs, encoder_state\n\n\nif __name__ == \"__main__\":\n    hparams = tf.contrib.training.HParams(\n        unit_type=\"layer_norm_lstm\",\n        num_units=256,\n        learning_rate=0.00005,\n        supervised_learning_rate=0.00005,\n        n_features=2,\n        time_major=False,\n        is_attention=True,\n        forget_bias=1.0,\n        dropout=0,\n        num_gpus=1,\n        num_layers=2,\n        num_residual_layers=0,\n        is_greedy=False,\n        inference_model=\"sample\",\n        start_token=0,\n        end_token=5,\n        is_bidencoder=True\n    )\n\n    ob_numpy = np.random.random(size=(5, 5, 25))\n    ob_length_numpy = np.array([5] * 5)\n\n    with tf.Session() as sess:\n        decoder_input = tf.placeholder(tf.int32, [None, None])\n        action = tf.placeholder(tf.int32, [None, None])\n        action_length = tf.placeholder(tf.int32, [None])\n\n        ob = tf.placeholder(dtype=tf.float32, shape=[None, None, 25])\n        ob_length = tf.placeholder(dtype=tf.int32, shape=[None])\n\n        train_model = LSTMDuelQnet(\"q-value\", hparams, reuse=True, encoder_inputs=ob, actions=action)\n\n        sess.run(tf.global_variables_initializer())\n\n        sample_actions, greedy_actions = train_model.step(obs=ob_numpy, epsilon_threshold = 1.0)\n\n        print(\"sample actions: \", sample_actions)\n        print(\"greedy actions: \", greedy_actions)\n\n        q_values = train_model.get_qvalues(encoder_input_batch=ob_numpy, actions=greedy_actions)\n        print(\"q_values: \", q_values)"
  },
  {
    "path": "rltaskoffloading/offloading_ddqn/seq2seq_replay_buffer.py",
    "content": "import numpy as np\nimport random\n\n\nclass SeqReplayBuffer(object):\n    def __init__(self, size):\n        \"\"\" Create the replay buffer to store the sequence data\n\n        \"\"\"\n        self._observation_sequence = []\n        self._action_sequence = []\n        self._decoder_input_sequence = []\n        self._decoder_full_length = []\n        self._greedy_action_sequence = []\n        self._greedy_decoder_input_sequence = []\n        self._reward_sequence = []\n        self._target_next_q = []\n\n        self._maxsize = size\n        self._next_idx = 0\n\n    def add_batch(self, batch_ob_seq, batch_act_seq, batch_dec_seq, batch_dec_length,\n                  batch_greedy_act_seq, batch_greedy_dec_seq, batch_rew_seq, batch_target_next_q\n                  ):\n        for ob_seq, act_seq, dec_seq, dec_length, greedy_act_seq, greedy_dec_seq, rew_seq, target_next_q in zip(batch_ob_seq, batch_act_seq, batch_dec_seq, batch_dec_length,\n                  batch_greedy_act_seq, batch_greedy_dec_seq, batch_rew_seq, batch_target_next_q):\n            self.add(ob_seq, act_seq, dec_seq, dec_length,  greedy_act_seq, greedy_dec_seq, rew_seq, target_next_q)\n\n    def add(self, ob_seq, act_seq, dec_seq, dec_length, greedy_act_seq, greedy_dec_seq, rew_seq, target_next_q):\n        if self._next_idx >= len(self._observation_sequence):\n            self._observation_sequence.append(ob_seq)\n            self._action_sequence.append(act_seq)\n            self._decoder_input_sequence.append(dec_seq)\n            self._decoder_full_length.append(dec_length)\n            self._greedy_action_sequence.append(greedy_act_seq)\n            self._greedy_decoder_input_sequence.append(greedy_dec_seq)\n            self._reward_sequence.append(rew_seq)\n            self._target_next_q.append(target_next_q)\n        else:\n            self._observation_sequence[self._next_idx] = ob_seq\n            self._action_sequence[self._next_idx] = act_seq\n            self._decoder_input_sequence[self._next_idx] = dec_seq\n            self._decoder_full_length[self._next_idx] = dec_length\n            self._greedy_action_sequence[self._next_idx] = greedy_act_seq\n            self._greedy_decoder_input_sequence[self._next_idx] = greedy_dec_seq\n            self._reward_sequence[self._next_idx] = rew_seq\n            self._target_next_q[self._next_idx] = target_next_q\n\n        self._next_idx = (self._next_idx + 1) % self._maxsize\n\n    def size(self):\n        return len(self._observation_sequence)\n\n    def random_sample(self, batch_size):\n        idxes = [random.randint(0, len(self._observation_sequence) - 1) for _ in range(batch_size)]\n\n        return np.array(self._observation_sequence)[idxes], \\\n               np.array(self._action_sequence)[idxes], \\\n               np.array(self._decoder_input_sequence)[idxes], \\\n               np.array(self._decoder_full_length)[idxes], \\\n               np.array(self._greedy_action_sequence)[idxes], \\\n               np.array(self._greedy_decoder_input_sequence)[idxes], \\\n               np.array(self._reward_sequence)[idxes], \\\n               np.array(self._target_next_q)[idxes]\n\n\nif __name__ == \"__main__\":\n    ob_seq = np.random.random(size=(10,20,25))\n    ac_seq = np.random.random(size=(10,20))\n    dec_input_seq = np.random.random(size=(10,20))\n    dec_full_length = np.array([20]*10)\n    greedy_ac_seq = np.random.random(size=(10,20))\n    greedy_dec_input_seq = np.random.random(size=(10,20))\n    reward_seq = np.random.random(size=(10,20))\n    target_q_seq = np.random.random(size=(10, 20))\n\n    replay_buffer = SeqReplayBuffer(size=10)\n\n    for _ in range(100):\n        replay_buffer.add_batch(ob_seq, ac_seq, dec_input_seq,dec_full_length, greedy_ac_seq, greedy_dec_input_seq, reward_seq, target_q_seq)\n\n\n    print(replay_buffer.size())\n"
  },
  {
    "path": "rltaskoffloading/offloading_ppo/__init__.py",
    "content": ""
  },
  {
    "path": "rltaskoffloading/offloading_ppo/ann_policy.py",
    "content": "import tensorflow as tf\nimport numpy as np\n\nfrom rltaskoffloading.seq2seq import model_helper\n\nfrom tensorflow.python.ops import control_flow_ops\nfrom tensorflow.python.ops import math_ops\nfrom tensorflow.python.framework import ops\nfrom tensorflow.python.framework import dtypes\n\nfrom tensorflow.python.ops.distributions import categorical\n\n\n# keep decoder only\nclass ANNPolicy(object):\n    def __init__(self,\n                 name,\n                 obs,\n                 action,\n                 hidden_units,\n                 reuse,\n                 action_dim,\n                 ):\n\n        self.obs = obs\n        self.action = action\n        self.action_dim = action_dim\n        self.reuse = reuse\n\n        with tf.variable_scope(name, reuse=self.reuse, initializer=tf.glorot_normal_initializer()):\n            self.scope = tf.get_variable_scope().name\n            hidden_logits = tf.layers.dense(self.obs, hidden_units, activation=tf.nn.relu,\n                                        reuse=tf.AUTO_REUSE, name='hidden_1')\n\n            hidden_logits = tf.layers.dense(hidden_logits, hidden_units, activation=tf.nn.relu,\n                                        reuse=tf.AUTO_REUSE, name='hidden_2')\n\n            self.out_put_logits = tf.layers.dense(hidden_logits, self.action_dim, activation=None, reuse=tf.AUTO_REUSE)\n            self.pi = tf.nn.softmax(self.out_put_logits)\n            self.q = tf.layers.dense(self.out_put_logits, self.action_dim, activation=None,\n                                     reuse=tf.AUTO_REUSE, name=\"qvalue_layer\")\n\n            self.vf = tf.reduce_sum(self.pi * self.q, axis=-1)\n\n            # define the sample action Categorical distribution.\n            sample_id_sampler = categorical.Categorical(logits=self.out_put_logits)\n            self.sample_actions = sample_id_sampler.sample()\n\n            self.action_embeddings = tf.one_hot(self.sample_actions,\n                                                self.action_dim,\n                                                dtype=tf.float32)\n\n            self.sample_neglogp = tf.nn.softmax_cross_entropy_with_logits_v2(labels=self.action_embeddings,\n                                                                             logits=self.out_put_logits)\n\n            # define the greedy action\n            self.greedy_actions = tf.argmax(self.out_put_logits, axis=-1, output_type=tf.int32)\n\n    def step(self, obs):\n        sess = tf.get_default_session()\n        sample_actions, sample_vf, sample_neglogp = sess.run(\n            [self.sample_actions, self.vf, self.sample_neglogp],\n             feed_dict={\n                self.obs : obs\n             }\n        )\n\n        sample_actions = np.array(sample_actions)\n        sample_vf = np.array(sample_vf)\n        sample_neglogp = np.array(sample_neglogp)\n\n        return sample_actions, sample_vf, sample_neglogp\n\n    def greedy_predict(self, obs):\n        sess = tf.get_default_session()\n        greedy_actions = sess.run(self.greedy_actions, feed_dict={\n            self.obs: obs\n        })\n\n        greedy_actions = np.array(greedy_actions)\n\n        return greedy_actions\n\n    def kl(self, other):\n        a0 = self.out_put_logits - tf.reduce_max(self.out_put_logits, axis=-1, keepdims=True)\n        a1 = other.out_put_logits - tf.reduce_max(other.out_put_logits, axis=-1, keepdims=True)\n        ea0 = tf.exp(a0)\n        ea1 = tf.exp(a1)\n        z0 = tf.reduce_sum(ea0, axis=-1, keepdims=True)\n        z1 = tf.reduce_sum(ea1, axis=-1, keepdims=True)\n        p0 = ea0 / z0\n\n        return tf.reduce_sum(p0 * (a0 - tf.log(z0) - a1 + tf.log(z1)), axis=-1)\n\n    def entropy(self):\n        a0 = self.out_put_logits - tf.reduce_max(self.out_put_logits, axis=-1, keepdims=True)\n        ea0 = tf.exp(a0)\n        z0 = tf.reduce_sum(ea0, axis=-1, keepdims=True)\n        p0 = ea0 / z0\n        return tf.reduce_sum(p0 * (tf.log(z0) - a0), axis=-1)\n\n    def neglogp(self):\n        # return tf.nn.sparse_softmax_cross_entropy_with_logits(logits=self.logits, labels=x)\n        # Note: we can't use sparse_softmax_cross_entropy_with_logits because\n        #       the implementation does not allow second-order derivatives...\n        return tf.nn.softmax_cross_entropy_with_logits_v2(\n            logits=self.out_put_logits,\n            labels=self.action_embeddings)\n\n    def logp(self):\n        return -self.neglogp()\n\n    def get_variables(self):\n        return tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, self.scope)\n\n    def get_trainable_variables(self):\n        return tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, self.scope)\n\n\nif __name__ == \"__main__\":\n    action = tf.placeholder(tf.int32, [None, None])\n    obs = tf.placeholder(dtype=tf.float32, shape=[None, None, 25])\n    ob_numpy = np.random.random(size=(5, 5, 25))\n\n    ann_policy = ANNPolicy(\"pi\",\n                            obs,\n                            action,\n                            hidden_units=256,\n                            reuse=True,\n                            action_dim=2)\n\n    with tf.Session() as sess:\n        sess.run(tf.global_variables_initializer())\n\n        sample_actions, sample_vf, sample_neglogp = ann_policy.step(ob_numpy)\n\n\n"
  },
  {
    "path": "rltaskoffloading/offloading_ppo/lstm_policy.py",
    "content": "import tensorflow as tf\nimport numpy as np\n\nfrom rltaskoffloading.seq2seq import model_helper\n\nfrom tensorflow.python.ops import control_flow_ops\nfrom tensorflow.python.ops import math_ops\nfrom tensorflow.python.framework import ops\nfrom tensorflow.python.framework import dtypes\n\nfrom tensorflow.python.ops.distributions import categorical\n\n\n# keep decoder only\nclass LSTMPolicy(object):\n    def __init__(self,\n                 name,\n                 hparams,\n                 reuse,\n                 encoder_inputs,\n                 ):\n\n        self.encoder_hidden_unit = hparams.num_units\n\n        self.encoder_inputs = encoder_inputs\n        self.num_layers = hparams.num_layers\n        self.num_residual_layers = hparams.num_residual_layers\n\n        self.time_major = hparams.time_major\n\n        self.n_features = hparams.n_features\n        self.reuse = reuse\n        self.mode = tf.contrib.learn.ModeKeys.TRAIN\n        self.single_cell_fn = None\n\n        with tf.variable_scope(name, reuse=self.reuse, initializer=tf.glorot_normal_initializer()):\n            self.scope = tf.get_variable_scope().name\n\n            self.embeddings = tf.Variable(tf.random_uniform(\n                [self.n_features,\n                 self.encoder_hidden_unit],\n                -1.0, 1.0), dtype=tf.float32)\n\n            # using a fully connected layer as embeddings\n            self.encoder_embeddings = tf.contrib.layers.fully_connected(self.encoder_inputs,\n                                                                        self.encoder_hidden_unit,\n                                                                        activation_fn=None,\n                                                                        scope=\"encoder_embeddings\",\n                                                                        reuse=tf.AUTO_REUSE)\n\n            # define the lstm encoder\n            self.encoder_outputs, self.encoder_state = self.create_encoder(hparams)\n\n            self.out_put_logits = tf.contrib.layers.fully_connected(self.encoder_outputs,\n                                                                    self.n_features,\n                                                                    activation_fn=None,\n                                                                    scope=\"output_layer\",\n                                                                    reuse=tf.AUTO_REUSE)\n\n            self.pi = tf.nn.softmax(self.out_put_logits)\n            self.q = tf.layers.dense(self.out_put_logits, self.n_features, activation=None,\n                                     reuse=tf.AUTO_REUSE, name=\"qvalue_layer\")\n\n            self.vf = tf.reduce_sum(self.pi * self.q, axis=-1)\n\n            # define the sample action Categorical distribution.\n            sample_id_sampler = categorical.Categorical(logits=self.out_put_logits)\n            self.sample_actions = sample_id_sampler.sample()\n\n            self.action_embeddings = tf.one_hot(self.sample_actions,\n                                                self.n_features,\n                                                dtype=tf.float32)\n\n            self.sample_neglogp = tf.nn.softmax_cross_entropy_with_logits_v2(labels=self.action_embeddings,\n                                                                             logits=self.out_put_logits)\n\n            # define the greedy action\n            self.greedy_actions = tf.argmax(self.out_put_logits, axis=-1, output_type=tf.int32)\n\n    def step(self, obs):\n        sess = tf.get_default_session()\n        sample_actions, sample_vf, sample_neglogp = sess.run(\n            [self.sample_actions, self.vf, self.sample_neglogp],\n             feed_dict={\n                self.encoder_inputs : obs\n             }\n        )\n\n        sample_actions = np.array(sample_actions)\n        sample_vf = np.array(sample_vf)\n        sample_neglogp = np.array(sample_neglogp)\n\n        return sample_actions, sample_vf, sample_neglogp\n\n    def greedy_predict(self, obs):\n        sess = tf.get_default_session()\n        greedy_actions = sess.run(self.greedy_actions, feed_dict={\n            self.encoder_inputs: obs\n        })\n\n        greedy_actions = np.array(greedy_actions)\n\n        return greedy_actions\n\n    def kl(self, other):\n        a0 = self.out_put_logits - tf.reduce_max(self.out_put_logits, axis=-1, keepdims=True)\n        a1 = other.out_put_logits - tf.reduce_max(other.out_put_logits, axis=-1, keepdims=True)\n        ea0 = tf.exp(a0)\n        ea1 = tf.exp(a1)\n        z0 = tf.reduce_sum(ea0, axis=-1, keepdims=True)\n        z1 = tf.reduce_sum(ea1, axis=-1, keepdims=True)\n        p0 = ea0 / z0\n\n        return tf.reduce_sum(p0 * (a0 - tf.log(z0) - a1 + tf.log(z1)), axis=-1)\n\n    def entropy(self):\n        a0 = self.out_put_logits - tf.reduce_max(self.out_put_logits, axis=-1, keepdims=True)\n        ea0 = tf.exp(a0)\n        z0 = tf.reduce_sum(ea0, axis=-1, keepdims=True)\n        p0 = ea0 / z0\n        return tf.reduce_sum(p0 * (tf.log(z0) - a0), axis=-1)\n\n    def neglogp(self):\n        # return tf.nn.sparse_softmax_cross_entropy_with_logits(logits=self.logits, labels=x)\n        # Note: we can't use sparse_softmax_cross_entropy_with_logits because\n        #       the implementation does not allow second-order derivatives...\n        return tf.nn.softmax_cross_entropy_with_logits_v2(\n            logits=self.out_put_logits,\n            labels=self.action_embeddings)\n\n    def logp(self):\n        return -self.neglogp()\n\n    def get_variables(self):\n        return tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, self.scope)\n\n    def get_trainable_variables(self):\n        return tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, self.scope)\n\n\n    def _build_encoder_cell(self, hparams, num_layers, num_residual_layers, base_gpu=0):\n        \"\"\"Build a multi-layer RNN cell that can be used by encoder.\"\"\"\n        return model_helper.create_rnn_cell(\n            unit_type=hparams.unit_type,\n            num_units=hparams.num_units,\n            num_layers=num_layers,\n            num_residual_layers=num_residual_layers,\n            forget_bias=hparams.forget_bias,\n            dropout=hparams.dropout,\n            num_gpus=hparams.num_gpus,\n            mode=self.mode,\n            base_gpu=base_gpu,\n            single_cell_fn=self.single_cell_fn)\n\n    def create_encoder(self, hparams):\n        # Build RNN cell\n        with tf.variable_scope(\"encoder\", reuse=tf.AUTO_REUSE) as scope:\n            encoder_cell = self._build_encoder_cell(hparams=hparams,\n                                                    num_layers=self.num_layers,\n                                                    num_residual_layers=self.num_residual_layers)\n\n            # encoder_cell = tf.contrib.rnn.GRUCell(self.encoder_hidden_unit)\n            # currently only consider the normal dynamic rnn\n            encoder_outputs, encoder_state = tf.nn.dynamic_rnn(\n                cell=encoder_cell,\n                inputs=self.encoder_embeddings,\n                dtype=tf.float32,\n                time_major=self.time_major,\n                swap_memory=True,\n                scope=scope\n            )\n\n        return encoder_outputs, encoder_state\n\n\n\nif __name__ == \"__main__\":\n    action = tf.placeholder(tf.int32, [None, None])\n    obs = tf.placeholder(dtype=tf.float32, shape=[None, None, 25])\n    ob_numpy = np.random.random(size=(5, 5, 25))\n\n    hparams = tf.contrib.training.HParams(\n        unit_type=\"lstm\",\n        num_units=256,\n        learning_rate=0.00005,\n        supervised_learning_rate=0.00005,\n        n_features=2,\n        time_major=False,\n        is_attention=False,\n        forget_bias=1.0,\n        dropout=0,\n        num_gpus=1,\n        num_layers=2,\n        num_residual_layers=0,\n        is_greedy=False,\n        inference_model=\"sample\",\n        start_token=0,\n        end_token=5,\n        is_bidencoder=False\n    )\n\n    ann_policy = LSTMPolicy(name='pi',\n                             hparams=hparams,\n                             reuse=True,\n                             encoder_inputs=obs)\n\n    with tf.Session() as sess:\n        sess.run(tf.global_variables_initializer())\n\n        sample_actions, sample_vf, sample_neglogp = ann_policy.step(ob_numpy)\n\n        print(sample_actions, sample_vf, sample_neglogp)\n\n\n"
  },
  {
    "path": "rltaskoffloading/offloading_ppo/offloading_ppo.py",
    "content": "import tensorflow as tf\nimport numpy as np\nimport itertools\nimport functools\nimport time\n\nfrom mpi4py import MPI\n\nfrom rltaskoffloading.common.mpi_adam_optimizer import MpiAdamOptimizer\nfrom rltaskoffloading.common.tf_util import get_session, save_variables, load_variables, initialize\nimport rltaskoffloading.common.tf_util as U\nfrom rltaskoffloading.common.mpi_util import sync_from_root\nfrom rltaskoffloading.common.console_util import fmt_row\nfrom rltaskoffloading.offloading_ppo.seq2seq_policy import Seq2seqPolicy\nfrom rltaskoffloading import logger\n\nfrom rltaskoffloading.environment.offloading_env import OffloadingEnvironment\nfrom rltaskoffloading.environment.offloading_env import Resources\n\nfrom rltaskoffloading.common.dataset import Dataset\nfrom rltaskoffloading.common.misc_util import zipsame\n\ndef calculate_qoe(latency_batch, energy_batch, env):\n    all_local_time, all_local_energy = env.get_all_locally_execute_time_batch()\n    all_local_time = np.squeeze(all_local_time)\n    all_local_energy = np.squeeze(all_local_energy)\n    latency_batch = np.squeeze(latency_batch)\n    energy_batch = np.squeeze(energy_batch)\n    qoe_batch = []\n\n    for latency, energy, single_all_local_latency, single_all_local_energy in zip(latency_batch, energy_batch, all_local_time, all_local_energy):\n        qoe = env.lambda_t * ((latency - single_all_local_latency) / single_all_local_latency) + \\\n              env.lambda_e * ((energy - single_all_local_energy) / single_all_local_energy)\n\n        qoe = -qoe\n        qoe_batch.append(qoe)\n\n    return qoe_batch\n\nclass S2SModel(object):\n    def __init__(self, hparams, ob, ob_length, ent_coef, vf_coef, max_grad_norm):\n        sess = get_session()\n        # sequential state\n\n        # sequential action\n        decoder_input = tf.placeholder(tf.int32, [None, None])\n        action = tf.placeholder(tf.int32, [None, None])\n        action_length = tf.placeholder(tf.int32, [None])\n        # sequential adv\n        adv = tf.placeholder(tf.float32, [None, None])\n        # sequential reward\n        r = tf.placeholder(tf.float32, [None, None])\n\n        # keep track of old actor(sequential descision)\n        oldneglogpac = tf.placeholder(tf.float32, [None, None])\n        oldvpred = tf.placeholder(tf.float32, [None, None])\n        lr = tf.placeholder(tf.float32, [])\n\n        # Cliprange\n        cliprange = tf.placeholder(tf.float32, [])\n\n        train_model = Seq2seqPolicy(\"pi\", hparams, reuse=True, encoder_inputs=ob,\n                                     encoder_lengths=ob_length,\n                                     decoder_inputs=decoder_input,\n                                     decoder_full_length=action_length,\n                                     decoder_targets=action)\n        act_model = Seq2seqPolicy(\"oldpi\", hparams, reuse=False, encoder_inputs=ob,\n                                 encoder_lengths=ob_length,\n                                 decoder_inputs=decoder_input,\n                                 decoder_full_length=action_length,\n                                 decoder_targets=action)\n\n        assign_old_eq_new = U.function([], [], updates=[tf.assign(oldv, newv)\n                                                        for (oldv, newv) in\n                                                        zipsame(act_model.get_variables(), train_model.get_variables())])\n\n        # neglogpac = train_model.neglogp()\n        # Calculate the entropy\n        # Entropy is used to improve exploration by limiting the premature convergence to suboptimal policy.\n        entropy = tf.reduce_mean(train_model.entropy())\n        # Calculate the loss\n        # Total loss = Policy gradient loss - entropy * entropy coefficient + Value coefficient * value loss\n\n        # Clip the value to reduce variability during Critic training.\n        # Get the predicted value\n        vpred = train_model.vf\n        vpredclipped = oldvpred + tf.clip_by_value(train_model.vf - oldvpred, -cliprange, cliprange)\n\n        # Unclipped value\n        vf_losses1 = tf.square(vpred - r)\n        # Clipped value\n        vf_losses2 = tf.square(vpredclipped - r)\n\n        vf_loss = .5 * tf.reduce_mean(tf.maximum(vf_losses1, vf_losses2))\n\n        # Calculate ratio (pi current policy / pi old policy)\n        #ratio = tf.exp(oldneglogpac - neglogpac)\n\n        ratio = tf.exp(train_model.logp() - act_model.logp())\n\n        # define the loss = -J is equivalent to max J\n        pg_losses = -adv * ratio\n        pg_losses2 = -adv * tf.clip_by_value(ratio, 1.0 - cliprange, 1.0 + cliprange)\n\n        # Final pg loss\n        pg_loss = tf.reduce_mean(tf.maximum(pg_losses, pg_losses2))\n        #approxkl = .5 * tf.reduce_mean(tf.square(neglogpac - oldneglogpac))\n        kloldnew = act_model.kl(train_model)\n        approxkl = tf.reduce_mean(kloldnew)\n        clipfrac = tf.reduce_mean(tf.to_float(tf.greater(tf.abs(ratio - 1.0), cliprange)))\n\n        # total loss\n        loss = pg_loss - entropy * ent_coef + vf_loss * vf_coef\n\n        # Update the parameters using loss\n        # 1. get the model parameters\n        params = tf.trainable_variables('pi')\n\n        # 2. Build our trainer\n        trainer = MpiAdamOptimizer(MPI.COMM_WORLD, learning_rate=lr, epsilon=1e-5)\n\n        # 3. Calculate the gradients\n        grads_and_var = trainer.compute_gradients(loss, params)\n        grads, var = zip(*grads_and_var)\n\n        if max_grad_norm is not None:\n            # Clip the gradients (normalize)\n            grads, _grad_norm = tf.clip_by_global_norm(grads, max_grad_norm)\n        grads_and_var = list(zip(grads, var))\n        # zip aggregate each gradient with parameters associated\n        # For instance zip(ABCD, xyza) => Ax, By, Cz, Da\n\n        _train = trainer.apply_gradients(grads_and_var)\n\n        # decoder_input action_length is speciallized for the training model\n        def train(learning_reate, clipingrange, obs, obs_length,\n                  returns, advs, decoder_inputs,  actions, decoder_full_length,\n                  values, neglogpacs, states=None):\n            # the advantage function is calculated as A(s,a) = R + yV(s') - V(s)\n            # the return = R + yV(s')\n\n            # Sequential Normalize the advantages\n            advs = (advs - np.mean(advs, axis=0)) / (np.std(advs, axis=0) + 1e-8)\n\n            td_map = {train_model.encoder_inputs: obs, train_model.encoder_lengths:obs_length,\n                      decoder_input:decoder_inputs, action: actions, action_length: decoder_full_length, adv:advs,\n                      r: returns, lr:learning_reate, cliprange:clipingrange, oldneglogpac:neglogpacs, oldvpred: values}\n\n            return sess.run([pg_loss, vf_loss, entropy, approxkl, clipfrac, _train], td_map)[:-1]\n\n        self.loss_names = ['policy_loss', 'value_loss', 'policy_entropy', 'approxkl', 'clipfrac']\n\n        self.train = train\n        self.train_model = train_model\n        self.time_major = self.train_model.time_major\n        self.act_model = act_model\n        self.step = act_model.step\n        self.greedy_predict = act_model.greedy_predict\n\n        self.save = functools.partial(save_variables, sess=sess)\n        self.load = functools.partial(load_variables, sess=sess)\n        self.assign_old_eq_new = assign_old_eq_new\n\n        if MPI.COMM_WORLD.Get_rank() == 0:\n            initialize()\n        global_variables = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope=\"\")\n        sync_from_root(sess, global_variables)\n\n\nclass Runner():\n    def __init__(self, env, model, nepisode, gamma, lam):\n        self.lam = lam\n        self.gamma = gamma\n        self.model = model\n        self.nepisode = nepisode\n        self.env = env\n\n    def run(self):\n        mb_obs, mb_rewards, mb_actions, mb_values, mb_dones, mb_neglogpacs = [], [], [], [], [], []\n        mb_tdlamret, mb_adv = [], []\n        mb_decoder_input = []\n        mb_decoder_length = []\n        mb_encoder_batch = []\n        mb_encoder_length = []\n        mb_task_graph = []\n\n\n        for task_graph_batch, encoder_batch, encoder_length, \\\n            decoder_lengths,  max_running_time, min_running_time in zip(self.env.task_graphs,\n                                                                  self.env.encoder_batchs,\n                                                                  self.env.encoder_lengths,\n                                                                  self.env.decoder_full_lengths,\n                                                                  self.env.max_running_time_batchs,\n                                                                  self.env.min_running_time_batchs):\n            for _ in range(self.nepisode):\n                actions, values, neglogpacs = self.model.step(encoder_input_batch=encoder_batch,\n                                                              decoder_full_length=decoder_lengths,\n                                                              encoder_lengths=encoder_length)\n\n                mb_encoder_batch += encoder_batch.tolist()\n                mb_encoder_length += encoder_length.tolist()\n                actions = np.array(actions)\n                values = np.array(values)\n                neglogpacs = np.array(neglogpacs)\n\n                decoder_input = np.column_stack(\n                    (np.ones(actions.shape[0], dtype=int) * self.env.start_symbol, actions[:, 0:-1]))\n                mb_decoder_input += decoder_input.tolist()\n                mb_decoder_length += decoder_lengths.tolist()\n                mb_actions += actions.tolist()\n                mb_values += values.tolist()\n                mb_neglogpacs += neglogpacs.tolist()\n\n                rewards = self.env.step(task_graph_batch=task_graph_batch, action_sequence_batch=actions,\n                                        max_running_time_batch=max_running_time, min_running_time_batch=min_running_time)\n\n                mb_rewards += rewards.tolist()\n                mb_task_graph += task_graph_batch\n\n                time_length = values.shape[1]\n                batch_size = values.shape[0]\n                vpred_batch = np.column_stack((values, np.zeros(batch_size, dtype=float)))\n                last_gae_lam = np.zeros(batch_size, dtype=float)\n                tdlamret = []\n                adv = []\n\n                for t in reversed(range(time_length)):\n                    delta = rewards[:, t] + self.gamma * vpred_batch[:, t + 1] - vpred_batch[:, t]\n                    gaelam = last_gae_lam = delta + self.gamma * self.lam * last_gae_lam\n                    adv.append(gaelam)\n                    tdlam = vpred_batch[:, t + 1] + gaelam\n                    tdlamret.append(tdlam)\n\n                tdlamret.reverse()\n                adv.reverse()\n\n                tdlamret = np.array(tdlamret).swapaxes(0, 1)\n                adv = np.array(adv).swapaxes(0, 1)\n\n                mb_tdlamret += tdlamret.tolist()\n                mb_adv += adv.tolist()\n\n        # return the trajectories\n        return mb_encoder_batch, mb_encoder_length, mb_decoder_input, \\\n               mb_actions, mb_decoder_length, mb_values, mb_rewards, mb_neglogpacs, mb_tdlamret, mb_adv\n\n    def sample_eval(self):\n        running_cost = []\n        energy_consumption = []\n        running_qoe = []\n\n        for encoder_batch, encoder_length, decoder_lengths, task_graph_batch \\\n                                                            in zip(self.env.encoder_batchs, self.env.encoder_lengths,\n                                                                  self.env.decoder_full_lengths, self.env.task_graphs):\n\n            actions, values, neglogpacs = self.model.step(encoder_input_batch=encoder_batch,\n                                                          decoder_full_length=decoder_lengths,\n                                                          encoder_lengths=encoder_length)\n            actions = np.array(actions)\n            env_running_cost, env_energy_consumption = self.env.get_running_cost(action_sequence_batch=actions,\n                                                         task_graph_batch=task_graph_batch)\n\n            qoe = calculate_qoe(env_running_cost, env_energy_consumption, self.env)\n\n            running_cost += env_running_cost\n            energy_consumption += env_energy_consumption\n            running_qoe += qoe\n        return running_cost, energy_consumption, running_qoe\n\n    def greedy_eval(self):\n        running_cost = []\n        energy_consumption = []\n        running_qoe = []\n\n        for encoder_batch, encoder_length, decoder_lengths, task_graph_batch \\\n                in zip(self.env.encoder_batchs, self.env.encoder_lengths,\n                       self.env.decoder_full_lengths, self.env.task_graphs):\n            actions = self.model.greedy_predict(encoder_input_batch=encoder_batch,\n                                                decoder_full_length=decoder_lengths,\n                                                encoder_lengths=encoder_length)\n\n            actions = np.array(actions)\n\n            env_running_cost, env_energy_consumption = self.env.get_running_cost(action_sequence_batch=actions,\n                                                         task_graph_batch=task_graph_batch)\n\n            env_qoe = calculate_qoe(env_running_cost, env_energy_consumption, self.env)\n\n            running_cost += env_running_cost\n            energy_consumption += env_energy_consumption\n            running_qoe += env_qoe\n        return running_cost, energy_consumption, env_qoe\n\ndef constfn(val):\n    def f(_):\n        return val\n    return f\n\n# the main part of ppo learning algorithm\ndef learn(hparams, env, eval_envs = None, nupdates=1000, nsample_episode=30, ent_coef=0.01, lr=1e-4,\n          vf_coef=0.5, max_grad_norm=0.5, gamma=0.99, lam=0.95, optbatchnumber=500,\n          log_interval=1, noptepochs=4, cliprange=0.2, load_path=None):\n    ob = tf.placeholder(dtype=tf.float32, shape=[None, None, env.input_dim])\n    ob_length = tf.placeholder(dtype=tf.int32, shape=[None])\n\n    make_model = lambda: S2SModel(hparams=hparams, ob=ob, ob_length=ob_length, ent_coef=ent_coef, vf_coef=vf_coef, max_grad_norm=max_grad_norm)\n\n    model = make_model()\n    if load_path is not None:\n        model.load(load_path)\n    runner = Runner(env=env, model = model, nepisode=nsample_episode, gamma=gamma, lam=lam)\n\n    eval_runners = []\n    if eval_envs is not None:\n        for eval_env in eval_envs:\n            eval_runners.append(Runner(env=eval_env, model=model, nepisode=1, gamma=gamma, lam=lam))\n\n    tfirststart = time.time()\n\n    mean_reward_track = []\n    for update in range(1, nupdates+1):\n        tstart = time.time()\n        lrnow = lr\n        cliprangenow = cliprange\n\n        mb_encoder_batch, mb_encoder_length, mb_decoder_input, mb_actions, mb_decoder_length, \\\n        mb_values, mb_rewards, mb_neglogpacs, mb_tdlamret, mb_adv = runner.run()\n\n        sample_time_cost = time.time()\n        print(\"sample time cost: \", (sample_time_cost - tstart))\n        print(np.array(mb_encoder_batch).shape)\n\n        data_set = Dataset(dict(encoder_input=mb_encoder_batch,\n                                encoder_length=mb_encoder_length,\n                                decoder_input=mb_decoder_input,\n                                decoder_target=mb_actions,\n                                decoder_full_length=mb_decoder_length,\n                                returns=mb_tdlamret,\n                                advs =mb_adv,\n                                values=mb_values,\n                                neglogpacs=mb_neglogpacs),\n                                deterministic=True, shuffle=False)\n\n        mean_reward = np.mean(np.sum(mb_rewards, axis=-1))\n\n        mblossvals = []\n\n        # optimal policy update steps\n        logger.log(fmt_row(13, model.loss_names))\n        for _ in range(noptepochs):\n            for batch in data_set.iterate_once(optbatchnumber):\n                encoder_input = batch[\"encoder_input\"]\n                returns_batch = batch[\"returns\"]\n                advs_batch = batch[\"advs\"]\n                decoder_input = batch[\"decoder_input\"]\n                decoder_target = batch[\"decoder_target\"]\n                values_batch = batch[\"values\"]\n                neglogpacs_batch = batch[\"neglogpacs\"]\n\n                if model.time_major == True:\n                    encoder_input = np.array(encoder_input).swapaxes(0,1)\n                    returns_batch = np.array(returns_batch).swapaxes(0,1)\n                    advs_batch = np.array(advs_batch).swapaxes(0,1)\n                    decoder_input = np.array(decoder_input).swapaxes(0,1)\n                    decoder_target = np.array(decoder_target).swapaxes(0,1)\n                    values_batch = np.array(values_batch).swapaxes(0,1)\n                    neglogpacs_batch = np.array(neglogpacs_batch).swapaxes(0,1)\n\n                batch_loss = model.train(\n                                learning_reate=lrnow,\n                                clipingrange=cliprangenow,\n                                obs=encoder_input,\n                                obs_length=batch[\"encoder_length\"],\n                                returns=returns_batch,\n                                advs=advs_batch,\n                                decoder_inputs=decoder_input,\n                                actions=decoder_target,\n                                decoder_full_length=batch[\"decoder_full_length\"],\n                                values=values_batch,\n                                neglogpacs=neglogpacs_batch)\n                mblossvals.append(batch_loss)\n            logger.log(fmt_row(13, np.mean(mblossvals, axis=0)))\n\n        update_time_cost = time.time()\n        print(\"Update time cost: \", (update_time_cost-sample_time_cost))\n\n        # sychronous the paramters:\n        model.assign_old_eq_new()\n        assign_params_time_cost = time.time()\n        print(\"Sychronous parameters cost: \", (assign_params_time_cost - update_time_cost))\n\n        running_cost = []\n        energy_consumption = []\n        running_qoe = []\n\n        greedy_running_cost = []\n        greedy_energy_consumption = []\n        greedy_qoe_batch = []\n        for eval_runner in eval_runners:\n            Tc, Ec, qoe = eval_runner.sample_eval()\n            greedy_Tc, greedy_Ec, greedy_qoe = eval_runner.greedy_eval()\n\n            Tc = np.mean(Tc)\n            Ec = np.mean(Ec)\n            qoe = np.mean(qoe)\n\n            greedy_Tc = np.mean(greedy_Tc)\n            greedy_Ec = np.mean(greedy_Ec)\n            greedy_qoe = np.mean(greedy_qoe)\n\n            running_cost.append(Tc)\n            energy_consumption.append(Ec)\n            running_qoe.append(qoe)\n\n            greedy_running_cost.append(greedy_Tc)\n            greedy_energy_consumption.append(greedy_Ec)\n            greedy_qoe_batch.append(greedy_qoe)\n\n        lossvals = np.mean(mblossvals, axis=0)\n        # End timer\n        tnow = time.time()\n\n        mean_reward_track.append(mean_reward)\n        if update % log_interval == 0 or update == 1:\n            # save model\n            model.save(\"./checkpoint/model.ckpt\")\n            print(\"model saved!\")\n\n            # Calculates if value function is a good predicator of the returns (ev > 1)\n            # or if it's just worse than predicting nothing (ev =< 0)\n            logger.logkv('time_step', update)\n            logger.logkv('time_elapsed', tnow - tfirststart)\n            logger.logkv('time_one_episode', tnow - tstart)\n\n            j = 0\n            for eval_env, run_time, energy, running_mean_qoe, greedy_run_time, greedy_energy, greedy_mean_qoe in zip(eval_envs, running_cost,\n                                                                                 energy_consumption,\n                                                                                 running_qoe,\n                                                                                 greedy_running_cost,\n                                                                                 greedy_energy_consumption,\n                                                                                 greedy_qoe_batch):\n                logger.logkv(str(j)+'th run time cost ', run_time)\n                logger.logkv(str(j)+'th energy cost ', energy)\n                logger.logkv(str(j)+'th qoe ', running_mean_qoe)\n\n                logger.logkv(str(j)+'th greedy run time cost', greedy_run_time)\n                logger.logkv(str(j)+'th greedy energy cost', greedy_energy)\n                logger.logkv(str(j) + 'th greedy qoe', greedy_mean_qoe)\n\n                logger.logkv(str(j) + 'th HEFT run time cost', eval_env.heft_avg_run_time)\n                logger.logkv(str(j) + 'th HEFT energy cost', eval_env.heft_avg_energy)\n                logger.logkv(str(j) + 'th HEFT qoe', eval_env.heft_avg_qoe)\n                j += 1\n\n            logger.logkv('mean reward', mean_reward)\n\n            for (lossval, lossname) in zip(lossvals, model.loss_names):\n                logger.logkv(lossname, lossval)\n\n            if MPI.COMM_WORLD.Get_rank() == 0:\n                logger.dumpkvs()\n\n    return mean_reward_track\n\n\ndef DRLTO_number(lambda_t = 1.0, lambda_e = 0.0, logpath=\"./log/DRTO-all-graph-LO\",\n           unit_type=\"layer_norm_lstm\", num_units=256, learning_rate=0.00005, supervised_learning_rate=0.00005,\n           n_features=2, time_major=False, is_attention=True, forget_bias=1.0, dropout=0, num_gpus=1,\n           num_layers=2, num_residual_layers=0, is_greedy=False, encode_dependencies = True,\n           inference_model=\"sample\", start_token=0,\n           end_token=5, is_bidencoder=True,\n           train_graph_file_paths=[\"../offloading_data/offload_random10/random.10.\"],\n           test_graph_file_paths=[\"../offloading_data/offload_random10_test/random.10.\"],\n           batch_size=500, graph_number=500):\n    logger.configure(logpath, ['stdout', 'json', 'csv'])\n\n    hparams = tf.contrib.training.HParams(\n        unit_type=unit_type,\n        num_units=num_units,\n        learning_rate=learning_rate,\n        supervised_learning_rate=supervised_learning_rate,\n        n_features=n_features,\n        time_major=time_major,\n        is_attention=is_attention,\n        forget_bias=forget_bias,\n        dropout=dropout,\n        num_gpus=num_gpus,\n        num_layers=num_layers,\n        num_residual_layers=num_residual_layers,\n        is_greedy=is_greedy,\n        inference_model=inference_model,\n        start_token=start_token,\n        end_token=end_token,\n        is_bidencoder=is_bidencoder\n    )\n\n    resource_cluster = Resources(mec_process_capable=(10.0 * 1024 * 1024),\n                                 mobile_process_capable=(1.0 * 1024 * 1024), bandwith_up=7.0, bandwith_dl=7.0)\n\n    env = OffloadingEnvironment(resource_cluster=resource_cluster, batch_size=batch_size,\n                                graph_number=graph_number,\n                                graph_file_paths=train_graph_file_paths,\n                                time_major=False,\n                                lambda_t=lambda_t,\n                                lambda_e=lambda_e,\n                                encode_dependencies = encode_dependencies)\n\n    eval_envs = []\n    for path in test_graph_file_paths:\n        eval_env = OffloadingEnvironment(resource_cluster=resource_cluster, batch_size=100, graph_number=100,\n                                         graph_file_paths=[path],\n                                         time_major=False,\n                                         lambda_t=lambda_t, lambda_e=lambda_e,\n                                         encode_dependencies=encode_dependencies)\n\n        eval_env.calculate_heft_cost()\n        eval_envs.append(eval_env)\n\n    print(\"Finishing initialization of environment\")\n\n    with tf.Session() as sess:\n        sess.run(tf.global_variables_initializer())\n        learn(hparams= hparams, env=env, eval_envs=eval_envs, nsample_episode=10, nupdates=3000,\n              max_grad_norm=1.0, noptepochs=4, gamma=0.99, lr=5e-4, optbatchnumber=500)\n\ndef DRLTO_trans(lambda_t = 1.0, lambda_e = 0.0, logpath=\"./log/all-graph-LO\",\n           unit_type=\"layer_norm_lstm\", num_units=256, learning_rate=0.00005, supervised_learning_rate=0.00005,\n           n_features=2, time_major=False, is_attention=True, forget_bias=1.0, dropout=0, num_gpus=1,\n           num_layers=2, num_residual_layers=0, is_greedy=False, encode_dependencies=True,\n           inference_model=\"sample\", start_token=0,\n           end_token=5, is_bidencoder=True,\n           train_graph_file_paths=[\"../offloading_data/offload_random10/random.10.\"],\n           test_graph_file_paths=[\"../offloading_data/offload_random10_test/random.10.\"],\n           batch_size=500, graph_number=500,\n           bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0]):\n    hparams = tf.contrib.training.HParams(\n        unit_type=unit_type,\n        num_units=num_units,\n        learning_rate=learning_rate,\n        supervised_learning_rate=supervised_learning_rate,\n        n_features=n_features,\n        time_major=time_major,\n        is_attention=is_attention,\n        forget_bias=forget_bias,\n        dropout=dropout,\n        num_gpus=num_gpus,\n        num_layers=num_layers,\n        num_residual_layers=num_residual_layers,\n        is_greedy=is_greedy,\n        inference_model=inference_model,\n        start_token=start_token,\n        end_token=end_token,\n        is_bidencoder=is_bidencoder\n    )\n\n    def test_case(bandwidth=5.0, log_path='./log/zhan-transrate-5Mbps', lambda_t = 1.0, lambda_e = 1.0):\n        logger.configure(log_path, ['stdout', 'json', 'csv'])\n        resource_cluster = Resources(mec_process_capable=(10.0 * 1024 * 1024),\n                                     mobile_process_capable=(1.0 * 1024 * 1024), bandwith_up=bandwidth, bandwith_dl=bandwidth)\n\n        env = OffloadingEnvironment(resource_cluster = resource_cluster, batch_size=batch_size, graph_number=graph_number,\n                                    graph_file_paths=train_graph_file_paths,\n                                    time_major=False,\n                                    lambda_t=lambda_t, lambda_e=lambda_e,\n                                    encode_dependencies=encode_dependencies)\n\n        eval_envs = []\n        eval_env_1 = OffloadingEnvironment(resource_cluster = resource_cluster, batch_size=100, graph_number=100,\n                                    graph_file_paths=test_graph_file_paths,\n                                    time_major=False,\n                                    lambda_t=lambda_t, lambda_e=lambda_e,\n                                    encode_dependencies=encode_dependencies)\n        eval_env_1.calculate_heft_cost()\n        eval_envs.append(eval_env_1)\n        print(\"Finishing initialization of environment\")\n\n        with tf.Session() as sess:\n            sess.run(tf.global_variables_initializer())\n            learn(hparams=hparams, env=env, eval_envs=eval_envs, nsample_episode=10, nupdates=3000,\n                  max_grad_norm=1.0, noptepochs=4, gamma=0.99, lr=5e-4, optbatchnumber=500)\n            sess.close()\n        tf.reset_default_graph()\n\n    for bandwidth in bandwidths:\n        test_case(bandwidth=bandwidth,  lambda_t=lambda_t, lambda_e=lambda_e, log_path=logpath + '-' + str(bandwidth) +'Mbps')\n\n\nif __name__ == \"__main__\":\n    DRLTO_trans()\n"
  },
  {
    "path": "rltaskoffloading/offloading_ppo/offloading_ppo_load.py",
    "content": "from rltaskoffloading.offloading_ppo.offloading_ppo import S2SModel\nfrom rltaskoffloading.offloading_ppo.offloading_ppo import Runner\nfrom rltaskoffloading.environment.offloading_env import Resources\nfrom rltaskoffloading.environment.offloading_env import OffloadingEnvironment\nimport tensorflow as tf\nimport numpy as np\n\ngamma=0.99\nlam=0.95\nent_coef=0.01\nvf_coef=0.5\nmax_grad_norm=0.5\n# load_path = \"./checkpoint/model.ckpt\"\nload_path = None\n\nresource_cluster = Resources(mec_process_capable=(10.0*1024*1024),\n                                 mobile_process_capable=(1.0*1024*1024),  bandwith_up=3.0, bandwith_dl=3.0)\n\nenv = OffloadingEnvironment(resource_cluster = resource_cluster,\n                           batch_size=100,\n                           graph_number=100,\n                           graph_file_paths=[\"../offloading_data/offload_random15_test/random.15.\"],\n                           time_major=False)\n\nob = tf.placeholder(dtype=tf.float32, shape=[None, None, env.input_dim])\nob_length = tf.placeholder(dtype=tf.int32, shape=[None])\n\nmake_model = lambda: S2SModel(ob=ob, ob_length=ob_length, ent_coef=ent_coef, vf_coef=vf_coef, max_grad_norm=max_grad_norm)\nmodel = make_model()\n# model.load(load_path)\n\neval_runner = Runner(env=env, model=model, nepisode=1, gamma=gamma, lam=lam)\n\nTc, Ec = eval_runner.sample_eval()\ngreedy_Tc, greedy_Ec = eval_runner.greedy_eval()\n\ngreedy_Tc = np.mean(greedy_Tc)\ngreedy_Ec = np.mean(greedy_Ec)\n\nprint(\"greedy run time cost: \", greedy_Tc)\nprint(\"greedy energy consumption: \", greedy_Ec)"
  },
  {
    "path": "rltaskoffloading/offloading_ppo/seq2seq_policy.py",
    "content": "import tensorflow as tf\nimport numpy as np\n\nfrom rltaskoffloading.seq2seq import model_helper\n\nfrom tensorflow.python.ops import control_flow_ops\nfrom tensorflow.python.ops import math_ops\nfrom tensorflow.python.framework import ops\nfrom tensorflow.python.framework import dtypes\n\nfrom tensorflow.python.ops.distributions import categorical\n\nclass FixedSequenceLearningSampleEmbedingHelper(tf.contrib.seq2seq.SampleEmbeddingHelper):\n    def __init__(self, sequence_length, embedding, start_tokens, end_token, softmax_temperature=None, seed=None):\n        super(FixedSequenceLearningSampleEmbedingHelper, self).__init__(\n            embedding, start_tokens, end_token, softmax_temperature, seed\n        )\n        self._sequence_length = ops.convert_to_tensor(\n            sequence_length, name=\"sequence_length\")\n        if self._sequence_length.get_shape().ndims != 1:\n            raise ValueError(\n                \"Expected sequence_length to be a vector, but received shape: %s\" %\n                self._sequence_length.get_shape())\n\n    def sample(self, time, outputs, state, name=None):\n        \"\"\"sample for SampleEmbeddingHelper.\"\"\"\n        del time, state  # unused by sample_fn\n        # Outputs are logits, we sample instead of argmax (greedy).\n        if not isinstance(outputs, ops.Tensor):\n            raise TypeError(\"Expected outputs to be a single Tensor, got: %s\" %\n                            type(outputs))\n        if self._softmax_temperature is None:\n            logits = outputs\n        else:\n            logits = outputs / self._softmax_temperature\n\n        sample_id_sampler = categorical.Categorical(logits=logits)\n        sample_ids = sample_id_sampler.sample(seed=self._seed)\n\n        return sample_ids\n\n    def next_inputs(self, time, outputs, state, sample_ids, name=None):\n        \"\"\"next_inputs_fn for Sampling Embedding Helper.\"\"\"\n        del outputs  # unused by next_inputs_fn\n\n        next_time = time + 1\n        finished = (next_time >= self._sequence_length)\n        all_finished = math_ops.reduce_all(finished)\n\n        next_inputs = control_flow_ops.cond(\n            all_finished,\n            # If we're finished, the next_inputs value doesn't matter\n            lambda: self._start_inputs,\n            lambda: self._embedding_fn(sample_ids))\n        return (finished, next_inputs, state)\n\n\n\nclass Seq2seqPolicy(object):\n    def __init__(self,\n                 name,\n                 hparams,\n                 reuse,\n                 encoder_inputs,\n                 encoder_lengths,\n                 decoder_inputs,\n                 decoder_full_length,\n                 decoder_targets):\n        self.encoder_hidden_unit = hparams.num_units\n        self.decoder_hidden_unit = hparams.num_units\n        self.is_bidencoder = hparams.is_bidencoder\n        self.reuse = reuse\n\n        self.n_features = hparams.n_features\n        self.time_major = hparams.time_major\n        self.is_attention = hparams.is_attention\n        self.learning_rate = hparams.learning_rate\n        self.unit_type = hparams.unit_type\n        self.inference_model = hparams.inference_model\n\n        # default setting\n        self.mode = tf.contrib.learn.ModeKeys.TRAIN\n\n        self.num_layers = hparams.num_layers\n        self.num_residual_layers = hparams.num_residual_layers\n\n        self.single_cell_fn = None\n        self.is_greedy = hparams.is_greedy\n        self.start_token = hparams.start_token\n        self.end_token = hparams.end_token\n\n        self.encoder_inputs = encoder_inputs\n        self.encoder_lengths = encoder_lengths\n        self.decoder_inputs = decoder_inputs\n        self.decoder_targets = decoder_targets\n\n        self.decoder_full_length = decoder_full_length\n\n        with tf.variable_scope(name, reuse=self.reuse, initializer=tf.glorot_normal_initializer()):\n            self.scope = tf.get_variable_scope().name\n            self.embeddings = tf.Variable(tf.random_uniform(\n                [self.n_features,\n                 self.encoder_hidden_unit],\n                -1.0, 1.0), dtype=tf.float32)\n\n            # using a fully connected layer as embeddings\n            self.encoder_embeddings = tf.contrib.layers.fully_connected(self.encoder_inputs,\n                                                                        self.encoder_hidden_unit,\n                                                                        activation_fn = None,\n                                                                        scope=\"encoder_embeddings\",\n                                                                        reuse=tf.AUTO_REUSE)\n\n            self.decoder_embeddings = tf.nn.embedding_lookup(self.embeddings,\n                                                             self.decoder_inputs)\n\n            self.decoder_targets_embeddings = tf.one_hot(self.decoder_targets,\n                                                         self.n_features,\n                                                         dtype=tf.float32)\n\n            self.output_layer = tf.layers.Dense(self.n_features, use_bias=False, name=\"output_projection\")\n\n            if self.is_bidencoder:\n                self.encoder_outputs, self.encoder_state = self.create_bidrect_encoder(hparams)\n            else:\n                self.encoder_outputs, self.encoder_state = self.create_encoder(hparams)\n\n            # training decoder\n            self.decoder_outputs, self.decoder_state = self.create_decoder(hparams, self.encoder_outputs,\n                                                                           self.encoder_state, model=\"train\")\n            self.decoder_logits = self.decoder_outputs.rnn_output\n            self.pi = tf.nn.softmax(self.decoder_logits)\n            self.q = tf.layers.dense(self.decoder_logits, self.n_features, activation=None,\n                                     reuse=tf.AUTO_REUSE, name=\"qvalue_layer\")\n            self.vf = tf.reduce_sum(self.pi * self.q, axis=-1)\n\n            self.decoder_prediction = self.decoder_outputs.sample_id\n\n            # sample decoder\n            self.sample_decoder_outputs, self.sample_decoder_state = self.create_decoder(hparams, self.encoder_outputs,\n                                                                           self.encoder_state, model=\"sample\")\n            self.sample_decoder_logits = self.sample_decoder_outputs.rnn_output\n            self.sample_pi = tf.nn.softmax(self.sample_decoder_logits)\n            self.sample_q = tf.layers.dense(self.sample_decoder_logits, self.n_features,\n                                            activation=None, reuse=tf.AUTO_REUSE, name=\"qvalue_layer\")\n\n            self.sample_vf = tf.reduce_sum(self.sample_pi*self.sample_q, axis=-1)\n\n            self.sample_decoder_prediction = self.sample_decoder_outputs.sample_id\n\n            # Note: we can't use sparse_softmax_cross_entropy_with_logits\n            self.sample_decoder_embeddings = tf.one_hot(self.sample_decoder_prediction,\n                                                        self.n_features,\n                                                        dtype=tf.float32)\n\n            self.sample_neglogp = tf.nn.softmax_cross_entropy_with_logits_v2(labels=self.sample_decoder_embeddings,\n                                                                             logits=self.sample_decoder_logits)\n\n            # greedy decoder\n            self.greedy_decoder_outputs, self.greedy_decoder_state = self.create_decoder(hparams, self.encoder_outputs,\n                                                                           self.encoder_state, model=\"greedy\")\n            self.greedy_decoder_logits = self.greedy_decoder_outputs.rnn_output\n            self.greedy_pi = tf.nn.softmax(self.greedy_decoder_logits)\n            self.greedy_q = tf.layers.dense(self.greedy_decoder_logits, self.n_features, activation=None, reuse=tf.AUTO_REUSE,\n                                     name=\"qvalue_layer\")\n            self.greedy_vf = tf.reduce_sum(self.greedy_pi * self.greedy_q, axis=-1)\n\n            self.greedy_decoder_prediction = self.greedy_decoder_outputs.sample_id\n\n    def predict_training(self, sess, encoder_input_batch, decoder_input, decoder_full_length):\n        return sess.run([self.decoder_prediction, self.pi],\n                        feed_dict={\n                            self.encoder_inputs: encoder_input_batch,\n                            self.decoder_inputs: decoder_input,\n                            self.decoder_full_length: decoder_full_length\n                        })\n\n    def sample_from_current_policy(self, sess, encoder_input_batch, decoder_full_length):\n        return sess.run([self.sample_decoder_prediction, self.sample_vf],\n                        feed_dict={\n                            self.encoder_inputs: encoder_input_batch,\n                            self.decoder_full_length: decoder_full_length\n                        })\n\n    def step(self, encoder_input_batch, decoder_full_length, encoder_lengths):\n        sess = tf.get_default_session()\n\n        if self.time_major == True:\n            encoder_input_batch = np.swapaxes(encoder_input_batch, 0, 1)\n\n        sample_decoder_prediction, sample_vf, sample_neglogp = sess.run(\n            [self.sample_decoder_prediction, self.sample_vf, self.sample_neglogp],\n            feed_dict={\n                self.encoder_inputs: encoder_input_batch,\n                self.encoder_lengths: encoder_lengths,\n                self.decoder_full_length: decoder_full_length\n            })\n\n        if self.time_major == True:\n            sample_decoder_prediction = np.array(sample_decoder_prediction).swapaxes(0,1)\n            sample_vf = np.array(sample_vf).swapaxes(0,1)\n            sample_neglogp = np.array(sample_neglogp).swapaxes(0,1)\n\n        return sample_decoder_prediction, sample_vf, sample_neglogp\n\n    def greedy_predict(self, encoder_input_batch, encoder_lengths, decoder_full_length):\n        sess = tf.get_default_session()\n        if self.time_major == True:\n            encoder_input_batch = np.swapaxes(encoder_input_batch, 0, 1)\n\n        greedy_prediction = sess.run(self.greedy_decoder_prediction, feed_dict={\n                                        self.encoder_inputs: encoder_input_batch,\n                                        self.encoder_lengths: encoder_lengths,\n                                        self.decoder_full_length: decoder_full_length\n                                    })\n\n        if self.time_major == True:\n            greedy_prediction = np.array(greedy_prediction).swapaxes(0,1)\n\n        return greedy_prediction\n\n    def kl(self, other):\n        a0 = self.decoder_logits - tf.reduce_max(self.decoder_logits, axis=-1, keepdims=True)\n        a1 = other.decoder_logits - tf.reduce_max(other.decoder_logits, axis=-1, keepdims=True)\n        ea0 = tf.exp(a0)\n        ea1 = tf.exp(a1)\n        z0 = tf.reduce_sum(ea0, axis=-1, keepdims=True)\n        z1 = tf.reduce_sum(ea1, axis=-1, keepdims=True)\n        p0 = ea0 / z0\n        return tf.reduce_sum(p0 * (a0 - tf.log(z0) - a1 + tf.log(z1)), axis=-1)\n\n    def entropy(self):\n        a0 = self.decoder_logits - tf.reduce_max(self.decoder_logits, axis=-1, keepdims=True)\n        ea0 = tf.exp(a0)\n        z0 = tf.reduce_sum(ea0, axis=-1, keepdims=True)\n        p0 = ea0 / z0\n        return tf.reduce_sum(p0 * (tf.log(z0) - a0), axis=-1)\n\n    def neglogp(self):\n        # return tf.nn.sparse_softmax_cross_entropy_with_logits(logits=self.logits, labels=x)\n        # Note: we can't use sparse_softmax_cross_entropy_with_logits because\n        #       the implementation does not allow second-order derivatives...\n        return tf.nn.softmax_cross_entropy_with_logits_v2(\n            logits=self.decoder_logits,\n            labels=self.decoder_targets_embeddings)\n\n    def logp(self):\n        return -self.neglogp()\n\n    def _build_encoder_cell(self, hparams, num_layers, num_residual_layers, base_gpu=0):\n        \"\"\"Build a multi-layer RNN cell that can be used by encoder.\"\"\"\n        return model_helper.create_rnn_cell(\n            unit_type=hparams.unit_type,\n            num_units=hparams.num_units,\n            num_layers=num_layers,\n            num_residual_layers=num_residual_layers,\n            forget_bias=hparams.forget_bias,\n            dropout=hparams.dropout,\n            num_gpus=hparams.num_gpus,\n            mode=self.mode,\n            base_gpu=base_gpu,\n            single_cell_fn=self.single_cell_fn)\n\n    def _build_decoder_cell(self, hparams, num_layers, num_residual_layers, base_gpu=0):\n        \"\"\"Build a multi-layer RNN cell that can be used by decoder\"\"\"\n        return model_helper.create_rnn_cell(\n            unit_type=hparams.unit_type,\n            num_units=hparams.num_units,\n            num_layers=num_layers,\n            num_residual_layers=num_residual_layers,\n            forget_bias=hparams.forget_bias,\n            dropout=hparams.dropout,\n            num_gpus=hparams.num_gpus,\n            mode=self.mode,\n            base_gpu=base_gpu,\n            single_cell_fn=self.single_cell_fn)\n\n    def create_encoder(self, hparams):\n        # Build RNN cell\n        with tf.variable_scope(\"encoder\", reuse=tf.AUTO_REUSE) as scope:\n            encoder_cell = self._build_encoder_cell(hparams=hparams,\n                                                    num_layers=self.num_layers,\n                                                    num_residual_layers=self.num_residual_layers)\n\n            # encoder_cell = tf.contrib.rnn.GRUCell(self.encoder_hidden_unit)\n            # currently only consider the normal dynamic rnn\n            encoder_outputs, encoder_state = tf.nn.dynamic_rnn(\n                cell=encoder_cell,\n                sequence_length = self.encoder_lengths,\n                inputs=self.encoder_embeddings,\n                dtype=tf.float32,\n                time_major=self.time_major,\n                swap_memory=True,\n                scope=scope\n            )\n\n        return encoder_outputs, encoder_state\n\n    def create_bidrect_encoder(self, hparams):\n        with tf.variable_scope(\"encoder\", reuse=tf.AUTO_REUSE) as scope:\n            num_bi_layers = int(self.num_layers / 2)\n            num_bi_residual_layers = int(self.num_residual_layers / 2)\n            forward_cell = self._build_encoder_cell(hparams=hparams,\n                                                    num_layers=num_bi_layers,\n                                                    num_residual_layers=num_bi_residual_layers)\n            backward_cell = self._build_encoder_cell(hparams=hparams,\n                                                     num_layers=num_bi_layers,\n                                                     num_residual_layers=num_bi_residual_layers)\n\n            bi_outputs, bi_state = tf.nn.bidirectional_dynamic_rnn(\n                forward_cell,\n                backward_cell,\n                inputs=self.encoder_embeddings,\n                time_major=self.time_major,\n                swap_memory=True,\n                dtype=tf.float32)\n\n            encoder_outputs = tf.concat(bi_outputs, -1)\n\n            if num_bi_layers == 1:\n                encoder_state = bi_state\n            else:\n                encoder_state = []\n                for layer_id in range(num_bi_layers):\n                    encoder_state.append(bi_state[0][layer_id])  # forward\n                    encoder_state.append(bi_state[1][layer_id])  # backward\n\n                encoder_state = tuple(encoder_state)\n\n            return encoder_outputs, encoder_state\n\n    def create_decoder(self, hparams, encoder_outputs, encoder_state, model):\n        with tf.variable_scope(\"decoder\", reuse=tf.AUTO_REUSE) as decoder_scope:\n            if model == \"greedy\":\n                helper = tf.contrib.seq2seq.GreedyEmbeddingHelper(\n                    self.embeddings,\n                    # Batchsize * Start_token\n                    start_tokens=tf.fill([tf.size(self.decoder_full_length)], self.start_token),\n                    end_token=self.end_token\n                )\n\n            elif model == \"sample\":\n                helper = FixedSequenceLearningSampleEmbedingHelper(\n                    sequence_length=self.decoder_full_length,\n                    embedding=self.embeddings,\n                    start_tokens=tf.fill([tf.size(self.decoder_full_length)], self.start_token),\n                    end_token=self.end_token\n                )\n\n            elif model == \"train\":\n                helper = tf.contrib.seq2seq.TrainingHelper(\n                    self.decoder_embeddings,\n                    self.decoder_full_length,\n                    time_major=self.time_major)\n            else:\n                helper = tf.contrib.seq2seq.TrainingHelper(\n                    self.decoder_embeddings,\n                    self.decoder_full_length,\n                    time_major=self.time_major)\n\n            if self.is_attention:\n                decoder_cell = self._build_decoder_cell(hparams=hparams,\n                                                        num_layers=self.num_layers,\n                                                        num_residual_layers=self.num_residual_layers)\n                # decoder_cell = tf.contrib.rnn.GRUCell(self.decoder_hidden_unit)\n                if self.time_major:\n                    # [batch_size, max_time, num_nunits]\n                    attention_states = tf.transpose(encoder_outputs, [1, 0, 2])\n                else:\n                    attention_states = encoder_outputs\n\n                print(\"decoder hidden unit: \",self.decoder_hidden_unit)\n                print(\"attention states: \", attention_states.shape)\n                attention_mechanism = tf.contrib.seq2seq.LuongAttention(\n                    self.decoder_hidden_unit, attention_states)\n\n                decoder_cell = tf.contrib.seq2seq.AttentionWrapper(\n                    decoder_cell, attention_mechanism,\n                    attention_layer_size=self.decoder_hidden_unit)\n\n                decoder_initial_state = (\n                    decoder_cell.zero_state(tf.size(self.decoder_full_length),\n                                            dtype=tf.float32).clone(\n                        cell_state=encoder_state))\n                print(\"decoder_initial_state is:\", decoder_initial_state)\n\n            else:\n                decoder_cell = self._build_decoder_cell(hparams=hparams,\n                                                        num_layers=self.num_layers,\n                                                        num_residual_layers=self.num_residual_layers)\n\n                decoder_initial_state = encoder_state\n\n            decoder = tf.contrib.seq2seq.BasicDecoder(\n                cell=decoder_cell,\n                helper=helper,\n                initial_state=decoder_initial_state,\n                output_layer=self.output_layer)\n\n            outputs, last_state, _ = tf.contrib.seq2seq.dynamic_decode(decoder,\n                                                                       output_time_major=self.time_major,\n                                                                       maximum_iterations=self.decoder_full_length[0])\n        return outputs, last_state\n\n    def get_variables(self):\n        return tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, self.scope)\n\n    def get_trainable_variables(self):\n        return tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, self.scope)\n\n\n\n\n\n\n"
  },
  {
    "path": "rltaskoffloading/seq2seq/model_helper.py",
    "content": "import numpy as np\nimport tensorflow as tf\nimport rltaskoffloading.logger as logger\n\ndef get_device_str(device_id, num_gpus):\n  \"\"\"Return a device string for multi-GPU setup.\"\"\"\n  if num_gpus == 0:\n    return \"/cpu:0\"\n  device_str_output = \"/gpu:%d\" % (device_id % num_gpus)\n  return device_str_output\n\ndef _single_cell(unit_type, num_units, forget_bias, dropout, mode,\n                 residual_connection=False, device_str=None, residual_fn=None):\n  \"\"\"Create an instance of a single RNN cell.\"\"\"\n  # dropout (= 1 - keep_prob) is set to 0 during eval and infer\n  dropout = dropout if mode == tf.contrib.learn.ModeKeys.TRAIN else 0.0\n\n  # Cell Type\n  if unit_type == \"lstm\":\n    logger.info(\"  LSTM, forget_bias=%g\" % forget_bias)\n    single_cell = tf.contrib.rnn.BasicLSTMCell(\n        num_units,\n        forget_bias=forget_bias)\n  elif unit_type == \"gru\":\n    logger.info(\"  GRU\")\n    single_cell = tf.contrib.rnn.GRUCell(num_units)\n  elif unit_type == \"layer_norm_lstm\":\n    logger.info(\"  Layer Normalized LSTM, forget_bias=%g\" % forget_bias)\n    single_cell = tf.contrib.rnn.LayerNormBasicLSTMCell(\n        num_units,\n        forget_bias=forget_bias,\n        layer_norm=True)\n  elif unit_type == \"nas\":\n    logger.info(\"  NASCell\")\n    single_cell = tf.contrib.rnn.NASCell(num_units)\n  else:\n    raise ValueError(\"Unknown unit type %s!\" % unit_type)\n\n  # Dropout (= 1 - keep_prob)\n  if dropout > 0.0:\n    single_cell = tf.contrib.rnn.DropoutWrapper(\n        cell=single_cell, input_keep_prob=(1.0 - dropout))\n    logger.info(\"  %s, dropout=%g \" %(type(single_cell).__name__, dropout))\n\n  # Residual\n  if residual_connection:\n    single_cell = tf.contrib.rnn.ResidualWrapper(\n        single_cell, residual_fn=residual_fn)\n    logger.info(\"  %s\" % type(single_cell).__name__)\n\n  # Device Wrapper\n  if device_str:\n    single_cell = tf.contrib.rnn.DeviceWrapper(single_cell, device_str)\n    logger.info(\"  %s, device=%s\" %\n                    (type(single_cell).__name__, device_str))\n\n  return single_cell\n\n\ndef _cell_list(unit_type, num_units, num_layers, num_residual_layers,\n               forget_bias, dropout, mode, num_gpus, base_gpu=0,\n               single_cell_fn=None, residual_fn=None):\n  \"\"\"Create a list of RNN cells.\"\"\"\n  if not single_cell_fn:\n    single_cell_fn = _single_cell\n\n  # Multi-GPU\n  cell_list = []\n  for i in range(num_layers):\n    logger.info(\"  cell %d\" % i)\n    single_cell = single_cell_fn(\n        unit_type=unit_type,\n        num_units=num_units,\n        forget_bias=forget_bias,\n        dropout=dropout,\n        mode=mode,\n        residual_connection=(i >= num_layers - num_residual_layers),\n        device_str=None,\n        residual_fn=residual_fn\n    )\n    logger.info(\"\")\n    cell_list.append(single_cell)\n\n  return cell_list\n\n\ndef create_rnn_cell(unit_type, num_units, num_layers, num_residual_layers,\n                    forget_bias, dropout, mode, num_gpus, base_gpu=0,\n                    single_cell_fn=None):\n  \"\"\"Create multi-layer RNN cell.\n\n  Args:\n    unit_type: string representing the unit type, i.e. \"lstm\".\n    num_units: the depth of each unit.\n    num_layers: number of cells.\n    num_residual_layers: Number of residual layers from top to bottom. For\n      example, if `num_layers=4` and `num_residual_layers=2`, the last 2 RNN\n      cells in the returned list will be wrapped with `ResidualWrapper`.\n    forget_bias: the initial forget bias of the RNNCell(s).\n    dropout: floating point value between 0.0 and 1.0:\n      the probability of dropout.  this is ignored if `mode != TRAIN`.\n    mode: either tf.contrib.learn.TRAIN/EVAL/INFER\n    num_gpus: The number of gpus to use when performing round-robin\n      placement of layers.\n    base_gpu: The gpu device id to use for the first RNN cell in the\n      returned list. The i-th RNN cell will use `(base_gpu + i) % num_gpus`\n      as its device id.\n    single_cell_fn: allow for adding customized cell.\n      When not specified, we default to model_helper._single_cell\n  Returns:\n    An `RNNCell` instance.\n  \"\"\"\n  cell_list = _cell_list(unit_type=unit_type,\n                         num_units=num_units,\n                         num_layers=num_layers,\n                         num_residual_layers=num_residual_layers,\n                         forget_bias=forget_bias,\n                         dropout=dropout,\n                         mode=mode,\n                         num_gpus=num_gpus,\n                         base_gpu=base_gpu,\n                         single_cell_fn=single_cell_fn)\n\n  if len(cell_list) == 1:  # Single layer.\n    return cell_list[0]\n  else:  # Multi layers\n    return tf.contrib.rnn.MultiRNNCell(cell_list)\n\n\n"
  },
  {
    "path": "rltaskoffloading/seq2seq/seq2seq_hyparam.py",
    "content": "import tensorflow as tf\n\ndef get_hparams():\n    '''\n    hparams = tf.contrib.training.HParams(\n        unit_type=\"lstm\",\n        num_units=256,\n        learning_rate=0.0005,\n        n_features=5,\n        time_major=True,\n        is_attention=True,\n        forget_bias=1.0,\n        dropout=0.2,\n        num_gpus=1,\n        num_layers=4,\n        num_residual_layers=0,\n        is_greedy=False,\n        start_token=3,\n        end_token=4,\n        is_bidencoder=True,\n        max_gradient_norm = 5.0\n    )\n    '''\n\n    #modify the num_units\n    hparams = tf.contrib.training.HParams(\n        unit_type=\"layer_norm_lstm\",\n        num_units=256,\n        learning_rate=0.00005,\n        supervised_learning_rate = 0.00005,\n        n_features=5,\n        time_major=True,\n        is_attention=True,\n        forget_bias=1.0,\n        dropout=0,\n        num_gpus=1,\n        num_layers=2,\n        num_residual_layers=0,\n        is_greedy=False,\n        inference_model=\"sample\",\n        start_token=0,\n        end_token=5,\n        is_bidencoder=True\n    )\n\n    return hparams\n\n# hyper-parameters for value networks\ndef get_value_network_hparams():\n    hparams = tf.contrib.training.HParams(\n    unit_type=\"layer_norm_lstm\",\n    num_units=128,\n    learning_rate=0.0001,\n    n_features=3,\n    time_major=True,\n    is_attention=True,\n    forget_bias=1.0,\n    dropout=0,\n    num_gpus=1,\n    num_layers=2,\n    num_residual_layers=0,\n    is_greedy=False,\n    inference_model=\"sample\",\n    start_token=0,\n    end_token=3,\n    is_bidencoder=True\n    )\n\n    return hparams\n\n\ndef get_cost_hparams():\n    hparams = tf.contrib.training.HParams(\n        unit_type=\"layer_norm_lstm\",\n        learning_rate=0.0001,\n        n_features=5,\n        time_major=False,\n        is_attention=False,\n        is_bidencoder=True,\n        attention_out_put_unit_size=512,\n        num_units = 512,\n        forget_bias=1.0,\n        connected_layer_unit=512,\n        dropout=0.2,\n        num_gpus=1,\n        num_layers=4,\n        num_residual_layers=0,\n        start_token=4,\n        end_token=5,\n    )\n\n    return hparams\n\ndef get_cnn_cost_hparams():\n    hparams = tf.contrib.training.HParams(\n        learning_rate=0.001,\n        batch_size=128,\n        first_filter_size=32,\n        second_filter_size=32,\n        kernel_size=[5, 5],\n        pool_size=[2, 2],\n        num_layers=4,\n        num_residual_layers=0,\n        time_major=False,\n        connected_hidden_layer_size=1024,\n        n_features=5,\n        unit_type = \"layer_norm_lstm\",\n        num_units = 512,\n        forget_bias = 1.0,\n        dropout = 0.2,\n        num_gpus = 1\n    )\n\n    return hparams"
  },
  {
    "path": "train.py",
    "content": "import argparse\n\nfrom rltaskoffloading.offloading_ddqn.lstm_ddqn import DDQNTO_number, DDQNTO_trans\nfrom rltaskoffloading.offloading_ppo.offloading_ppo import DRLTO_number, DRLTO_trans\n\ndef train(args):\n    # Here is some global configuration for the datapath\n    graph_paths_train_for_number = [\"./rltaskoffloading/offloading_data/offload_random10/random.10.\",\n                              \"./rltaskoffloading/offloading_data/offload_random15/random.15.\",\n                              \"./rltaskoffloading/offloading_data/offload_random20/random.20.\",\n                              \"./rltaskoffloading/offloading_data/offload_random25/random.25.\",\n                              \"./rltaskoffloading/offloading_data/offload_random30/random.30.\",\n                              \"./rltaskoffloading/offloading_data/offload_random35/random.35.\",\n                              \"./rltaskoffloading/offloading_data/offload_random40/random.40.\",\n                              \"./rltaskoffloading/offloading_data/offload_random45/random.45.\",\n                              \"./rltaskoffloading/offloading_data/offload_random50/random.50.\",\n                              ]\n    graph_paths_test_for_number = [\"./rltaskoffloading/offloading_data/offload_random10_test/random.10.\",\n                         \"./rltaskoffloading/offloading_data/offload_random15_test/random.15.\",\n                         \"./rltaskoffloading/offloading_data/offload_random20_test/random.20.\",\n                         \"./rltaskoffloading/offloading_data/offload_random25_test/random.25.\",\n                         \"./rltaskoffloading/offloading_data/offload_random30_test/random.30.\",\n                         \"./rltaskoffloading/offloading_data/offload_random35_test/random.35.\",\n                         \"./rltaskoffloading/offloading_data/offload_random40_test/random.40.\",\n                         \"./rltaskoffloading/offloading_data/offload_random45_test/random.45.\",\n                         \"./rltaskoffloading/offloading_data/offload_random50_test/random.50.\"\n                         ]\n\n    graph_paths_train_for_trans = [\"./rltaskoffloading/offloading_data/offload_random15/random.15.\"]\n    graph_paths_test_for_trans = [\"./rltaskoffloading/offloading_data/offload_random15/random.15.\"]\n\n    logpath = args.logpath+\"-\"+args.algo +\"-\"+args.scenario+\"-\"+args.goal +\"-dependency-\" + str(args.dependency)\n    if args.algo == \"DDQNTO\":\n        if args.scenario == \"Number\":\n            if args.goal == \"LO\":\n                DDQNTO_number(lambda_t = 1.0, lambda_e = 0.0, logpath=logpath, encode_dependencies=args.dependency,\n                              train_graph_file_paths = graph_paths_train_for_number,\n                              test_graph_file_paths= graph_paths_test_for_number)\n            elif args.goal == \"EE\":\n                DDQNTO_number(lambda_t=0.5, lambda_e=0.5, logpath=logpath, encode_dependencies=args.dependency,\n                              train_graph_file_paths=graph_paths_train_for_number,\n                              test_graph_file_paths=graph_paths_test_for_number)\n        if args.scenario == \"Trans\":\n            if args.goal == \"LO\":\n                DDQNTO_trans(lambda_t = 1.0, lambda_e = 0.0, logpath=logpath, encode_dependencies=args.dependency,\n                             train_graph_file_paths=graph_paths_train_for_trans,\n                             test_graph_file_paths=graph_paths_test_for_trans,\n                             bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0])\n            elif args.goal == \"EE\":\n                DDQNTO_trans(lambda_t=0.5, lambda_e=0.5, logpath=logpath, encode_dependencies=args.dependency,\n                             train_graph_file_paths=graph_paths_train_for_trans,\n                             test_graph_file_paths=graph_paths_test_for_trans,\n                             bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0])\n    elif args.algo == \"DRLTO\":\n        if args.scenario == \"Number\":\n            if args.goal == \"LO\":\n                DRLTO_number(lambda_t = 1.0, lambda_e = 0.0, logpath=logpath, encode_dependencies=args.dependency,\n                              train_graph_file_paths = graph_paths_train_for_number,\n                              test_graph_file_paths= graph_paths_test_for_number)\n            elif args.goal == \"EE\":\n                DRLTO_number(lambda_t=0.5, lambda_e=0.5, logpath=logpath, encode_dependencies=args.dependency,\n                             train_graph_file_paths=graph_paths_train_for_number,\n                             test_graph_file_paths=graph_paths_test_for_number)\n        if args.scenario == \"Trans\":\n            if args.goal == \"LO\":\n                DRLTO_trans(lambda_t=1.0, lambda_e=0.0, logpath=logpath, encode_dependencies=args.dependency,\n                             train_graph_file_paths=graph_paths_train_for_trans,\n                             test_graph_file_paths=graph_paths_test_for_trans,\n                             bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0])\n            elif args.goal == \"EE\":\n                DRLTO_trans(lambda_t=0.5, lambda_e=0.5, logpath=logpath, encode_dependencies=args.dependency,\n                             train_graph_file_paths=graph_paths_train_for_trans,\n                             test_graph_file_paths=graph_paths_test_for_trans,\n                             bandwidths=[3.0, 7.0, 11.0, 15.0, 19.0])\n    else:\n        raise Exception(\"No defined algorithm\")\n\nif __name__ == \"__main__\":\n    parser = argparse.ArgumentParser()\n\n    parser.add_argument(\"--algo\", type=str, default=\"DRLTO\", choices=[\"DDQNTO\", \"DRLTO\"])\n    parser.add_argument(\"--scenario\", type=str, default=\"Trans\", choices=[\"Number\", \"Trans\"])\n    parser.add_argument(\"--goal\", type=str, default=\"EE\", choices=[\"EE\", \"LO\"])\n    parser.add_argument(\"--logpath\", type=str, default=\"./log/Result\")\n    parser.add_argument(\"--dependency\", type=bool, default=True)\n    args = parser.parse_args()\n\n    train(args)"
  }
]